2022-11-23T00:58:59.2196862Z Requested labels: linux.2xlarge 2022-11-23T00:58:59.2196932Z Job defined at: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/master 2022-11-23T00:58:59.2196954Z Waiting for a runner to pick up this job... 2022-11-23T00:58:59.3615207Z Job is about to start running on the runner: i-0be07ac23342829d8 (organization) 2022-11-23T00:59:04.2806800Z Current runner version: '2.299.1' 2022-11-23T00:59:04.2812407Z Runner name: 'i-0be07ac23342829d8' 2022-11-23T00:59:04.2812959Z Runner group name: 'Default' 2022-11-23T00:59:04.2813528Z Machine name: 'ip-10-0-8-154' 2022-11-23T00:59:04.2815622Z ##[group]GITHUB_TOKEN Permissions 2022-11-23T00:59:04.2816291Z Actions: write 2022-11-23T00:59:04.2816640Z Checks: write 2022-11-23T00:59:04.2816921Z Contents: write 2022-11-23T00:59:04.2817286Z Deployments: write 2022-11-23T00:59:04.2817618Z Discussions: write 2022-11-23T00:59:04.2817893Z Issues: write 2022-11-23T00:59:04.2818211Z Metadata: read 2022-11-23T00:59:04.2818530Z Packages: write 2022-11-23T00:59:04.2818975Z Pages: write 2022-11-23T00:59:04.2819306Z PullRequests: write 2022-11-23T00:59:04.2819720Z RepositoryProjects: write 2022-11-23T00:59:04.2820040Z SecurityEvents: write 2022-11-23T00:59:04.2820371Z Statuses: write 2022-11-23T00:59:04.2820719Z ##[endgroup] 2022-11-23T00:59:04.2823713Z Secret source: Actions 2022-11-23T00:59:04.2824490Z Prepare workflow directory 2022-11-23T00:59:04.5145040Z Prepare all required actions 2022-11-23T00:59:04.5314997Z Getting action download info 2022-11-23T00:59:04.7177113Z Download action repository 'pytorch/test-infra@main' (SHA:c57ff4d9a93667a5571a80a0e92c3e2674aeedfd) 2022-11-23T00:59:04.9594793Z Download action repository 'pytorch/pytorch@master' (SHA:1cfd3858ac54fe3883534309081631a0a892ba3f) 2022-11-23T00:59:07.3836643Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2022-11-23T00:59:07.6275750Z Getting action download info 2022-11-23T00:59:07.8553650Z Download action repository 'malfet/checkout@silent-checkout' (SHA:c7b8fef48edfe1bca0044a44b1f7f7c4318a3076) 2022-11-23T00:59:08.0036621Z Getting action download info 2022-11-23T00:59:08.1490395Z Download action repository 'nick-fields/retry@7d4a37704547a311dbb66ebdf5b23ec19374a767' (SHA:7d4a37704547a311dbb66ebdf5b23ec19374a767) 2022-11-23T00:59:08.3253348Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml 2022-11-23T00:59:08.3255154Z ##[group] Inputs 2022-11-23T00:59:08.3255454Z build-environment: parallelnative-linux-focal-py3.7-gcc7 2022-11-23T00:59:08.3255861Z test-matrix: { include: [ { config: "default", shard: 1, num_shards: 2, runner: "linux.2xlarge" }, { config: "default", shard: 2, num_shards: 2, runner: "linux.2xlarge" }, ]} 2022-11-23T00:59:08.3256340Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.7-gcc7:072aae4a77ed7d3a69ad5683420509c41301b940 2022-11-23T00:59:08.3256676Z sync-tag: 2022-11-23T00:59:08.3257353Z timeout-minutes: 240 2022-11-23T00:59:08.3257551Z ##[endgroup] 2022-11-23T00:59:08.3258027Z Complete job name: parallelnative-linux-focal-py3.7-gcc7 / test (default, 2, 2, linux.2xlarge) 2022-11-23T00:59:08.3959133Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2022-11-23T00:59:08.3959418Z with: 2022-11-23T00:59:08.3959914Z github-secret: *** 2022-11-23T00:59:08.3960110Z activate-with-label: false 2022-11-23T00:59:08.3960314Z label: with-ssh 2022-11-23T00:59:08.3960510Z remove-existing-keys: true 2022-11-23T00:59:08.3960684Z env: 2022-11-23T00:59:08.3960859Z GIT_DEFAULT_BRANCH: master 2022-11-23T00:59:08.3961046Z ##[endgroup] 2022-11-23T00:59:08.4764278Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2022-11-23T00:59:08.4935140Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@master 2022-11-23T00:59:08.4935395Z with: 2022-11-23T00:59:08.4935574Z submodules: recursive 2022-11-23T00:59:08.4935773Z fetch-depth: 0 2022-11-23T00:59:08.4935970Z env: 2022-11-23T00:59:08.4936142Z GIT_DEFAULT_BRANCH: master 2022-11-23T00:59:08.4936330Z ##[endgroup] 2022-11-23T00:59:08.5139116Z ##[group]Run retry () { 2022-11-23T00:59:08.5139375Z retry () { 2022-11-23T00:59:08.5139590Z  $* || (sleep 1 && $*) || (sleep 2 && $*) || (sleep 4 && $*) || (sleep 8 && $*) 2022-11-23T00:59:08.5139801Z } 2022-11-23T00:59:08.5139984Z echo "${GITHUB_WORKSPACE}" 2022-11-23T00:59:08.5140349Z if [ -z "${NO_SUDO}" ]; then 2022-11-23T00:59:08.5140559Z  retry sudo rm -rf "${GITHUB_WORKSPACE}" 2022-11-23T00:59:08.5140912Z else 2022-11-23T00:59:08.5141111Z  retry rm -rf "${GITHUB_WORKSPACE}" 2022-11-23T00:59:08.5141290Z fi 2022-11-23T00:59:08.5141515Z mkdir "${GITHUB_WORKSPACE}" 2022-11-23T00:59:08.5156963Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-11-23T00:59:08.5157201Z env: 2022-11-23T00:59:08.5157382Z GIT_DEFAULT_BRANCH: master 2022-11-23T00:59:08.5157565Z NO_SUDO: 2022-11-23T00:59:08.5157720Z ##[endgroup] 2022-11-23T00:59:08.5249851Z /home/ec2-user/actions-runner/_work/pytorch/pytorch 2022-11-23T00:59:10.9934774Z ##[group]Run malfet/checkout@silent-checkout 2022-11-23T00:59:10.9935053Z with: 2022-11-23T00:59:10.9935278Z ref: 1cfd3858ac54fe3883534309081631a0a892ba3f 2022-11-23T00:59:10.9935497Z fetch-depth: 0 2022-11-23T00:59:10.9935708Z submodules: recursive 2022-11-23T00:59:10.9935941Z quiet-checkout: true 2022-11-23T00:59:10.9936157Z repository: pytorch/pytorch 2022-11-23T00:59:10.9936506Z token: *** 2022-11-23T00:59:10.9936707Z ssh-strict: true 2022-11-23T00:59:10.9936918Z persist-credentials: true 2022-11-23T00:59:10.9937137Z clean: true 2022-11-23T00:59:10.9937336Z lfs: false 2022-11-23T00:59:10.9937536Z set-safe-directory: true 2022-11-23T00:59:10.9937742Z env: 2022-11-23T00:59:10.9937942Z GIT_DEFAULT_BRANCH: master 2022-11-23T00:59:10.9938144Z ##[endgroup] 2022-11-23T00:59:11.1031532Z Syncing repository: pytorch/pytorch 2022-11-23T00:59:11.1033175Z ##[group]Getting Git version info 2022-11-23T00:59:11.1033667Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2022-11-23T00:59:11.1034162Z [command]/usr/bin/git version 2022-11-23T00:59:11.1034392Z git version 2.37.1 2022-11-23T00:59:11.1035016Z ##[endgroup] 2022-11-23T00:59:11.1046864Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/a3a24d96-b6dd-47b7-bfd0-ae051fd3adfd' before making global git config changes 2022-11-23T00:59:11.1047417Z Adding repository directory to the temporary git global config as a safe directory 2022-11-23T00:59:11.1047934Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2022-11-23T00:59:11.1076879Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2022-11-23T00:59:11.1080908Z ##[group]Initializing the repository 2022-11-23T00:59:11.1083242Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2022-11-23T00:59:11.1112812Z hint: Using 'master' as the name for the initial branch. This default branch name 2022-11-23T00:59:11.1113409Z hint: is subject to change. To configure the initial branch name to use in all 2022-11-23T00:59:11.1113962Z hint: of your new repositories, which will suppress this warning, call: 2022-11-23T00:59:11.1114263Z hint: 2022-11-23T00:59:11.1114581Z hint: git config --global init.defaultBranch 2022-11-23T00:59:11.1114835Z hint: 2022-11-23T00:59:11.1115158Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2022-11-23T00:59:11.1115548Z hint: 'development'. The just-created branch can be renamed via this command: 2022-11-23T00:59:11.1115811Z hint: 2022-11-23T00:59:11.1116204Z hint: git branch -m 2022-11-23T00:59:11.1117080Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2022-11-23T00:59:11.1122735Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2022-11-23T00:59:11.1151659Z ##[endgroup] 2022-11-23T00:59:11.1152022Z ##[group]Disabling automatic garbage collection 2022-11-23T00:59:11.1154516Z [command]/usr/bin/git config --local gc.auto 0 2022-11-23T00:59:11.1180533Z ##[endgroup] 2022-11-23T00:59:11.1181347Z ##[group]Setting up auth 2022-11-23T00:59:11.1187006Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2022-11-23T00:59:11.1215103Z [command]/usr/bin/git submodule foreach --recursive git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || : 2022-11-23T00:59:11.1461470Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2022-11-23T00:59:11.1492116Z [command]/usr/bin/git submodule foreach --recursive git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || : 2022-11-23T00:59:11.1739787Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2022-11-23T00:59:11.1787223Z ##[endgroup] 2022-11-23T00:59:11.1787631Z ##[group]Fetching the repository 2022-11-23T00:59:11.1793242Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --quiet --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2022-11-23T01:00:01.3689397Z [command]/usr/bin/git rev-parse --verify --quiet 1cfd3858ac54fe3883534309081631a0a892ba3f^{object} 2022-11-23T01:00:01.3713820Z 1cfd3858ac54fe3883534309081631a0a892ba3f 2022-11-23T01:00:01.3719140Z ##[endgroup] 2022-11-23T01:00:01.3719524Z ##[group]Determining the checkout info 2022-11-23T01:00:01.3720750Z ##[endgroup] 2022-11-23T01:00:01.3721102Z ##[group]Checking out the ref 2022-11-23T01:00:01.3724354Z [command]/usr/bin/git checkout --quiet --force 1cfd3858ac54fe3883534309081631a0a892ba3f 2022-11-23T01:00:02.6438076Z ##[endgroup] 2022-11-23T01:00:02.6438556Z ##[group]Setting up auth for fetching submodules 2022-11-23T01:00:02.6443759Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2022-11-23T01:00:02.6492191Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2022-11-23T01:00:02.6521909Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2022-11-23T01:00:02.6549201Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2022-11-23T01:00:02.6574585Z ##[endgroup] 2022-11-23T01:00:02.6575191Z ##[group]Fetching submodules 2022-11-23T01:00:02.6578427Z [command]/usr/bin/git submodule sync --recursive 2022-11-23T01:00:02.6838936Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2022-11-23T01:00:02.7090893Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2022-11-23T01:00:02.7091562Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2022-11-23T01:00:02.7092751Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2022-11-23T01:00:02.7094892Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2022-11-23T01:00:02.7097066Z Submodule 'third_party/QNNPACK' (https://github.com/pytorch/QNNPACK) registered for path 'third_party/QNNPACK' 2022-11-23T01:00:02.7099690Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2022-11-23T01:00:02.7102252Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2022-11-23T01:00:02.7104535Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2022-11-23T01:00:02.7107092Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2022-11-23T01:00:02.7109895Z Submodule 'third_party/cub' (https://github.com/NVlabs/cub.git) registered for path 'third_party/cub' 2022-11-23T01:00:02.7112647Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2022-11-23T01:00:02.7115399Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2022-11-23T01:00:02.7118376Z Submodule 'third_party/eigen' (https://gitlab.com/libeigen/eigen.git) registered for path 'third_party/eigen' 2022-11-23T01:00:02.7121329Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2022-11-23T01:00:02.7124567Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2022-11-23T01:00:02.7127753Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2022-11-23T01:00:02.7131180Z Submodule 'third_party/foxi' (https://github.com/houseroad/foxi.git) registered for path 'third_party/foxi' 2022-11-23T01:00:02.7134654Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2022-11-23T01:00:02.7138152Z Submodule 'third_party/gloo' (https://github.com/facebookincubator/gloo) registered for path 'third_party/gloo' 2022-11-23T01:00:02.7142421Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2022-11-23T01:00:02.7145939Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2022-11-23T01:00:02.7150004Z Submodule 'third_party/ios-cmake' (https://github.com/Yangqing/ios-cmake.git) registered for path 'third_party/ios-cmake' 2022-11-23T01:00:02.7153917Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2022-11-23T01:00:02.7157910Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2022-11-23T01:00:02.7162090Z Submodule 'third_party/nccl/nccl' (https://github.com/NVIDIA/nccl) registered for path 'third_party/nccl/nccl' 2022-11-23T01:00:02.7166322Z Submodule 'third_party/neon2sse' (https://github.com/intel/ARM_NEON_2_x86_SSE.git) registered for path 'third_party/neon2sse' 2022-11-23T01:00:02.7170659Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2022-11-23T01:00:02.7174994Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2022-11-23T01:00:02.7180201Z Submodule 'third_party/onnx-tensorrt' (https://github.com/onnx/onnx-tensorrt) registered for path 'third_party/onnx-tensorrt' 2022-11-23T01:00:02.7185113Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2022-11-23T01:00:02.7189872Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2022-11-23T01:00:02.7194673Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2022-11-23T01:00:02.7199709Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2022-11-23T01:00:02.7204611Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2022-11-23T01:00:02.7209803Z Submodule 'third_party/python-enum' (https://github.com/PeachPy/enum34.git) registered for path 'third_party/python-enum' 2022-11-23T01:00:02.7214917Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2022-11-23T01:00:02.7220406Z Submodule 'third_party/python-six' (https://github.com/benjaminp/six.git) registered for path 'third_party/python-six' 2022-11-23T01:00:02.7225709Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2022-11-23T01:00:02.7231371Z Submodule 'third_party/tbb' (https://github.com/01org/tbb) registered for path 'third_party/tbb' 2022-11-23T01:00:02.7237198Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2022-11-23T01:00:02.7243029Z Submodule 'third_party/zstd' (https://github.com/facebook/zstd.git) registered for path 'third_party/zstd' 2022-11-23T01:00:02.7265972Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2022-11-23T01:00:04.3380747Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2022-11-23T01:00:05.2469268Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2022-11-23T01:00:05.6354791Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2022-11-23T01:00:05.9547581Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/QNNPACK'... 2022-11-23T01:00:06.5117436Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2022-11-23T01:00:08.6359212Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2022-11-23T01:00:14.7001598Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2022-11-23T01:00:15.1823946Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2022-11-23T01:00:15.6993419Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cub'... 2022-11-23T01:00:17.1747443Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2022-11-23T01:00:18.2609787Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2022-11-23T01:00:19.6586060Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/eigen'... 2022-11-23T01:00:24.9129436Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2022-11-23T01:00:25.6090488Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2022-11-23T01:00:26.9705175Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2022-11-23T01:00:28.0702392Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/foxi'... 2022-11-23T01:00:28.2809870Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2022-11-23T01:00:28.7210092Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2022-11-23T01:00:29.0508583Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2022-11-23T01:00:30.0239900Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2022-11-23T01:00:30.4869257Z Cloning into 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'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11' 2022-11-23T01:01:30.1343207Z Entering 'third_party/onnx-tensorrt/third_party/onnx/third_party/pybind11/tools/clang' 2022-11-23T01:01:30.1381510Z Entering 'third_party/pocketfft' 2022-11-23T01:01:30.1417166Z Entering 'third_party/protobuf' 2022-11-23T01:01:30.1462663Z Entering 'third_party/protobuf/third_party/benchmark' 2022-11-23T01:01:30.1496315Z Entering 'third_party/protobuf/third_party/googletest' 2022-11-23T01:01:30.1534027Z Entering 'third_party/psimd' 2022-11-23T01:01:30.1569475Z Entering 'third_party/pthreadpool' 2022-11-23T01:01:30.1605749Z Entering 'third_party/pybind11' 2022-11-23T01:01:30.1641332Z Entering 'third_party/python-enum' 2022-11-23T01:01:30.1675612Z Entering 'third_party/python-peachpy' 2022-11-23T01:01:30.1710927Z Entering 'third_party/python-six' 2022-11-23T01:01:30.1745558Z Entering 'third_party/sleef' 2022-11-23T01:01:30.1780590Z Entering 'third_party/tbb' 2022-11-23T01:01:30.1819127Z Entering 'third_party/tensorpipe' 2022-11-23T01:01:30.1854532Z Entering 'third_party/tensorpipe/third_party/googletest' 2022-11-23T01:01:30.1890599Z Entering 'third_party/tensorpipe/third_party/libnop' 2022-11-23T01:01:30.1924579Z Entering 'third_party/tensorpipe/third_party/libuv' 2022-11-23T01:01:30.1960267Z Entering 'third_party/tensorpipe/third_party/pybind11' 2022-11-23T01:01:30.1995141Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2022-11-23T01:01:30.2032158Z Entering 'third_party/zstd' 2022-11-23T01:01:30.2075535Z ##[endgroup] 2022-11-23T01:01:30.2112469Z [command]/usr/bin/git log -1 --format='%H' 2022-11-23T01:01:30.2137491Z '1cfd3858ac54fe3883534309081631a0a892ba3f' 2022-11-23T01:01:30.2260533Z Prepare all required actions 2022-11-23T01:01:30.2284930Z ##[group]Run ./.github/actions/setup-linux 2022-11-23T01:01:30.2285133Z env: 2022-11-23T01:01:30.2285311Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:01:30.2285484Z ##[endgroup] 2022-11-23T01:01:30.2300573Z ##[group]Run set -euo pipefail 2022-11-23T01:01:30.2300810Z set -euo pipefail 2022-11-23T01:01:30.2301022Z function get_ec2_metadata() { 2022-11-23T01:01:30.2301273Z  # Pulled from instance metadata endpoint for EC2 2022-11-23T01:01:30.2301631Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2022-11-23T01:01:30.2301921Z  category=$1 2022-11-23T01:01:30.2302251Z  curl -fsSL "http://169.254.169.254/latest/meta-data/${category}" 2022-11-23T01:01:30.2302480Z } 2022-11-23T01:01:30.2302671Z echo "ami-id: $(get_ec2_metadata ami-id)" 2022-11-23T01:01:30.2302949Z echo "instance-id: $(get_ec2_metadata instance-id)" 2022-11-23T01:01:30.2303229Z echo "instance-type: $(get_ec2_metadata instance-type)" 2022-11-23T01:01:30.2303480Z echo "system info $(uname -a)" 2022-11-23T01:01:30.2315072Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-11-23T01:01:30.2315281Z env: 2022-11-23T01:01:30.2315457Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:01:30.2315648Z ##[endgroup] 2022-11-23T01:01:30.2392370Z ami-id: ami-096198a0bccc6bad4 2022-11-23T01:01:30.2441450Z instance-id: i-0be07ac23342829d8 2022-11-23T01:01:30.2490617Z instance-type: c5.2xlarge 2022-11-23T01:01:30.2497652Z system info Linux ip-10-0-8-154.ec2.internal 4.14.252-195.483.amzn2.x86_64 #1 SMP Mon Nov 1 20:58:46 UTC 2021 x86_64 x86_64 x86_64 GNU/Linux 2022-11-23T01:01:30.2512187Z ##[group]Run if systemctl is-active --quiet docker; then 2022-11-23T01:01:30.2512475Z if systemctl is-active --quiet docker; then 2022-11-23T01:01:30.2512725Z  echo "Docker daemon is running..."; 2022-11-23T01:01:30.2512933Z else 2022-11-23T01:01:30.2513155Z  echo "Starting docker deamon..." && sudo systemctl start docker; 2022-11-23T01:01:30.2513384Z fi 2022-11-23T01:01:30.2524605Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-11-23T01:01:30.2524814Z env: 2022-11-23T01:01:30.2524990Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:01:30.2525180Z ##[endgroup] 2022-11-23T01:01:30.2564663Z Docker daemon is running... 2022-11-23T01:01:30.2579557Z ##[group]Run AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") 2022-11-23T01:01:30.2579935Z AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") 2022-11-23T01:01:30.2580240Z retry () { "$@" || (sleep 1 && "$@") || (sleep 2 && "$@") } 2022-11-23T01:01:30.2580654Z retry aws ecr get-login*** "$AWS_DEFAULT_REGION" | docker login --username AWS \ 2022-11-23T01:01:30.2581039Z  --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" 2022-11-23T01:01:30.2591414Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-11-23T01:01:30.2591662Z env: 2022-11-23T01:01:30.2591869Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:01:30.2592086Z AWS_RETRY_MODE: standard 2022-11-23T01:01:30.2592308Z AWS_MAX_ATTEMPTS: 5 2022-11-23T01:01:30.2592534Z AWS_DEFAULT_REGION: us-east-1 2022-11-23T01:01:30.2592740Z ##[endgroup] 2022-11-23T01:01:30.9886464Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2022-11-23T01:01:30.9886870Z Configure a credential helper to remove this warning. See 2022-11-23T01:01:30.9887873Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2022-11-23T01:01:30.9888368Z Login Succeeded 2022-11-23T01:01:30.9888576Z 2022-11-23T01:01:30.9921203Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2022-11-23T01:01:30.9921513Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2022-11-23T01:01:30.9921859Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2022-11-23T01:01:30.9932888Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-11-23T01:01:30.9933090Z env: 2022-11-23T01:01:30.9933267Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:01:30.9933455Z ##[endgroup] 2022-11-23T01:01:31.0044598Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2022-11-23T01:01:31.0044855Z with: 2022-11-23T01:01:31.0045174Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.7-gcc7:072aae4a77ed7d3a69ad5683420509c41301b940 2022-11-23T01:01:31.0045498Z env: 2022-11-23T01:01:31.0045673Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:01:31.0045861Z ##[endgroup] 2022-11-23T01:01:31.0142084Z ##[group]Run retry () { "$@" || (sleep 1 && "$@") || (sleep 2 && "$@") } 2022-11-23T01:01:31.0142360Z retry () { "$@" || (sleep 1 && "$@") || (sleep 2 && "$@") } 2022-11-23T01:01:31.0142625Z # ignore output since only exit code is used for conditional 2022-11-23T01:01:31.0142910Z # only pull docker image if it's not available locally 2022-11-23T01:01:31.0143205Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2022-11-23T01:01:31.0143503Z  retry docker pull "${DOCKER_IMAGE}" 2022-11-23T01:01:31.0143699Z fi 2022-11-23T01:01:31.0154220Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-11-23T01:01:31.0154444Z env: 2022-11-23T01:01:31.0154616Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:01:31.0154961Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.7-gcc7:072aae4a77ed7d3a69ad5683420509c41301b940 2022-11-23T01:01:31.0155292Z ##[endgroup] 2022-11-23T01:01:31.4095758Z 072aae4a77ed7d3a69ad5683420509c41301b940: Pulling from pytorch/pytorch-linux-focal-py3.7-gcc7 2022-11-23T01:01:31.4099212Z eaead16dc43b: Pulling fs layer 2022-11-23T01:01:31.4099581Z 96afc5db69dc: Pulling fs layer 2022-11-23T01:01:31.4099935Z 9cd06b79192a: Pulling fs layer 2022-11-23T01:01:31.4100264Z ed66d74b7c20: Pulling fs layer 2022-11-23T01:01:31.4100606Z 42439e1d77c4: Pulling fs layer 2022-11-23T01:01:31.4100925Z 80bf4ab5d594: Pulling fs layer 2022-11-23T01:01:31.4101235Z 879beb9f8e9b: Pulling fs layer 2022-11-23T01:01:31.4101510Z 3f623e97839a: Pulling fs layer 2022-11-23T01:01:31.4101747Z d845eb9c30a0: Pulling fs layer 2022-11-23T01:01:31.4102023Z 8654f94b3130: Pulling fs layer 2022-11-23T01:01:31.4102298Z 0c488367249b: Pulling fs layer 2022-11-23T01:01:31.4102598Z 0c91414faf6f: Pulling fs layer 2022-11-23T01:01:31.4103582Z 16b14aea0152: Pulling fs layer 2022-11-23T01:01:31.4103857Z a2871863f729: Pulling fs layer 2022-11-23T01:01:31.4104892Z d703d3396c78: Pulling fs layer 2022-11-23T01:01:31.4105254Z acf65ded4ba0: Pulling fs layer 2022-11-23T01:01:31.4105545Z 19d7da72e211: Pulling fs layer 2022-11-23T01:01:31.4105741Z cb4b60b16a23: Pulling fs layer 2022-11-23T01:01:31.4105922Z 6325a464626e: Pulling fs layer 2022-11-23T01:01:31.4106105Z 42439e1d77c4: Waiting 2022-11-23T01:01:31.4106362Z b17aded2bf76: Pulling fs layer 2022-11-23T01:01:31.4106757Z 79f0454f85ca: Pulling fs layer 2022-11-23T01:01:31.4107119Z 5df784aed3a4: Pulling fs layer 2022-11-23T01:01:31.4107413Z 196c72536fc8: Pulling fs layer 2022-11-23T01:01:31.4107600Z e7cf72049767: Pulling fs layer 2022-11-23T01:01:31.4107793Z 7c4667efa9a5: Pulling fs layer 2022-11-23T01:01:31.4107984Z c62a223ffc22: Pulling fs layer 2022-11-23T01:01:31.4108177Z 824caeed1492: Pulling fs layer 2022-11-23T01:01:31.4108357Z 1762e4b0a4dc: Pulling fs layer 2022-11-23T01:01:31.4108548Z 093e8e8bcad0: Pulling fs layer 2022-11-23T01:01:31.4108738Z 133752b42076: Pulling fs layer 2022-11-23T01:01:31.4108902Z 0c488367249b: Waiting 2022-11-23T01:01:31.4109082Z 516276b2131d: Pulling fs layer 2022-11-23T01:01:31.4109267Z 0c91414faf6f: Waiting 2022-11-23T01:01:31.4109437Z 3507de6a25b1: Pulling fs layer 2022-11-23T01:01:31.4109617Z 16b14aea0152: Waiting 2022-11-23T01:01:31.4109800Z 49880d42ecce: Pulling fs layer 2022-11-23T01:01:31.4109965Z 6325a464626e: Waiting 2022-11-23T01:01:31.4110134Z 80bf4ab5d594: Waiting 2022-11-23T01:01:31.4110315Z 4694407ca3de: Pulling fs layer 2022-11-23T01:01:31.4110483Z b17aded2bf76: Waiting 2022-11-23T01:01:31.4110651Z a2871863f729: Waiting 2022-11-23T01:01:31.4110964Z b2c751e637f5: Pulling fs layer 2022-11-23T01:01:31.4111136Z 879beb9f8e9b: Waiting 2022-11-23T01:01:31.4111320Z 6114b441ddbf: Pulling fs layer 2022-11-23T01:01:31.4111501Z d703d3396c78: Waiting 2022-11-23T01:01:31.4111710Z 52944c8173bb: Pulling fs layer 2022-11-23T01:01:31.4111946Z e7cf72049767: Waiting 2022-11-23T01:01:31.4112130Z 1c1aab3b72ce: Pulling fs layer 2022-11-23T01:01:31.4112348Z acf65ded4ba0: Waiting 2022-11-23T01:01:31.4112582Z 5df784aed3a4: Waiting 2022-11-23T01:01:31.4112841Z 9af1bdb6cccf: Pulling fs layer 2022-11-23T01:01:31.4113012Z 7c4667efa9a5: Waiting 2022-11-23T01:01:31.4113216Z 19d7da72e211: Waiting 2022-11-23T01:01:31.4113387Z 196c72536fc8: Waiting 2022-11-23T01:01:31.4113562Z 2b8671dbd244: Pulling fs layer 2022-11-23T01:01:31.4113729Z 3f623e97839a: Waiting 2022-11-23T01:01:31.4113897Z cb4b60b16a23: Waiting 2022-11-23T01:01:31.4114082Z 0ccc0a3f9f55: Pulling fs layer 2022-11-23T01:01:31.4114253Z d845eb9c30a0: Waiting 2022-11-23T01:01:31.4114434Z 6c09ee684801: Pulling fs layer 2022-11-23T01:01:31.4114619Z 49880d42ecce: Waiting 2022-11-23T01:01:31.4114777Z 133752b42076: Waiting 2022-11-23T01:01:31.4114960Z dde59f92df16: Pulling fs layer 2022-11-23T01:01:31.4115143Z c62a223ffc22: Waiting 2022-11-23T01:01:31.4115302Z ed66d74b7c20: Waiting 2022-11-23T01:01:31.4115483Z 7108366bb357: Pulling fs layer 2022-11-23T01:01:31.4115659Z 4694407ca3de: Waiting 2022-11-23T01:01:31.4115813Z 516276b2131d: Waiting 2022-11-23T01:01:31.4115991Z a17d3f0d245f: Pulling fs layer 2022-11-23T01:01:31.4116181Z 824caeed1492: Waiting 2022-11-23T01:01:31.4116338Z b2c751e637f5: Waiting 2022-11-23T01:01:31.4116505Z 3507de6a25b1: Waiting 2022-11-23T01:01:31.4116685Z af1f57b03dc1: Pulling fs layer 2022-11-23T01:01:31.4116852Z 1762e4b0a4dc: Waiting 2022-11-23T01:01:31.4117033Z fedc8844da0c: Pulling fs layer 2022-11-23T01:01:31.4117216Z 093e8e8bcad0: Waiting 2022-11-23T01:01:31.4117673Z 6114b441ddbf: Waiting 2022-11-23T01:01:31.4117843Z 52944c8173bb: Waiting 2022-11-23T01:01:31.4118026Z 4d9ee4a84202: Pulling fs layer 2022-11-23T01:01:31.4118206Z 422bb402971f: Pulling fs layer 2022-11-23T01:01:31.4118499Z 1c1aab3b72ce: Waiting 2022-11-23T01:01:31.4118676Z 2b8671dbd244: Waiting 2022-11-23T01:01:31.4118845Z 30d9fd19fcf8: Pulling fs layer 2022-11-23T01:01:31.4119030Z 0ccc0a3f9f55: Waiting 2022-11-23T01:01:31.4119280Z e6ec9ff72352: Pulling fs layer 2022-11-23T01:01:31.4119500Z b2dabb47a4a1: Pulling fs layer 2022-11-23T01:01:31.4119685Z 6c09ee684801: Waiting 2022-11-23T01:01:31.4119859Z a17d3f0d245f: Waiting 2022-11-23T01:01:31.4120017Z 7108366bb357: Waiting 2022-11-23T01:01:31.4120197Z 78592748cf6a: Pulling fs layer 2022-11-23T01:01:31.4120378Z 4d9ee4a84202: Waiting 2022-11-23T01:01:31.4120560Z dde59f92df16: Waiting 2022-11-23T01:01:31.4120742Z 2f62c284cd73: Pulling fs layer 2022-11-23T01:01:31.4120928Z fedc8844da0c: Waiting 2022-11-23T01:01:31.4121824Z af1f57b03dc1: Waiting 2022-11-23T01:01:31.4122167Z d25a76b3a031: Pulling fs layer 2022-11-23T01:01:31.4122493Z 30d9fd19fcf8: Waiting 2022-11-23T01:01:31.4122985Z 5a50d7c62a26: Pulling fs layer 2022-11-23T01:01:31.4123281Z cd6d94bb12b1: Pulling fs layer 2022-11-23T01:01:31.4123506Z b2dabb47a4a1: Waiting 2022-11-23T01:01:31.4123682Z 78592748cf6a: Waiting 2022-11-23T01:01:31.4123851Z 2fba50966c3e: Pulling fs layer 2022-11-23T01:01:31.4124034Z 2fba50966c3e: Waiting 2022-11-23T01:01:31.4124207Z d25a76b3a031: Waiting 2022-11-23T01:01:31.4880053Z 96afc5db69dc: Verifying Checksum 2022-11-23T01:01:31.4880334Z 96afc5db69dc: Download complete 2022-11-23T01:01:31.5630983Z ed66d74b7c20: Verifying Checksum 2022-11-23T01:01:31.5631339Z ed66d74b7c20: Download complete 2022-11-23T01:01:31.6449759Z 42439e1d77c4: Verifying Checksum 2022-11-23T01:01:31.6450038Z 42439e1d77c4: Download complete 2022-11-23T01:01:31.7305897Z 80bf4ab5d594: Verifying Checksum 2022-11-23T01:01:31.7306309Z 80bf4ab5d594: Download complete 2022-11-23T01:01:31.7472445Z eaead16dc43b: Download complete 2022-11-23T01:01:31.8005108Z 879beb9f8e9b: Verifying Checksum 2022-11-23T01:01:31.8005496Z 879beb9f8e9b: Download complete 2022-11-23T01:01:31.8261696Z 3f623e97839a: Verifying Checksum 2022-11-23T01:01:31.8262104Z 3f623e97839a: Download complete 2022-11-23T01:01:31.9277455Z 8654f94b3130: Verifying Checksum 2022-11-23T01:01:31.9278107Z 8654f94b3130: Download complete 2022-11-23T01:01:32.0013426Z 0c91414faf6f: Verifying Checksum 2022-11-23T01:01:32.0013698Z 0c91414faf6f: Download complete 2022-11-23T01:01:32.0693743Z 16b14aea0152: Download complete 2022-11-23T01:01:32.4656627Z eaead16dc43b: Pull complete 2022-11-23T01:01:32.5680470Z 96afc5db69dc: Pull complete 2022-11-23T01:01:32.7511487Z 0c488367249b: Verifying Checksum 2022-11-23T01:01:32.7511860Z 0c488367249b: Download complete 2022-11-23T01:01:32.8250529Z d703d3396c78: Download complete 2022-11-23T01:01:32.8942715Z acf65ded4ba0: Verifying Checksum 2022-11-23T01:01:32.8942992Z acf65ded4ba0: Download complete 2022-11-23T01:01:33.3972674Z 19d7da72e211: Verifying Checksum 2022-11-23T01:01:33.3973116Z 19d7da72e211: Download complete 2022-11-23T01:01:33.4677153Z cb4b60b16a23: Download complete 2022-11-23T01:01:33.5610167Z 6325a464626e: Verifying Checksum 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308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.7-gcc7:072aae4a77ed7d3a69ad5683420509c41301b940 2022-11-23T01:02:29.2236276Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.7-gcc7:072aae4a77ed7d3a69ad5683420509c41301b940 2022-11-23T01:02:29.2293588Z ##[group]Run python3 -m pip install psutil==5.9.1 2022-11-23T01:02:29.2293876Z python3 -m pip install psutil==5.9.1 2022-11-23T01:02:29.2294101Z python3 -m pip install pynvml==11.4.1 2022-11-23T01:02:29.2294359Z python3 -m tools.stats.monitor > usage_log.txt 2>&1 & 2022-11-23T01:02:29.2294642Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2022-11-23T01:02:29.2307966Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-11-23T01:02:29.2308199Z env: 2022-11-23T01:02:29.2308374Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:02:29.2308550Z ##[endgroup] 2022-11-23T01:02:29.4412311Z Defaulting to user installation because normal site-packages is not writeable 2022-11-23T01:02:29.4600855Z Requirement already satisfied: psutil==5.9.1 in /home/ec2-user/.local/lib/python3.7/site-packages (5.9.1) 2022-11-23T01:02:29.9692676Z Defaulting to user installation because normal site-packages is not writeable 2022-11-23T01:02:29.9882931Z Requirement already satisfied: pynvml==11.4.1 in /home/ec2-user/.local/lib/python3.7/site-packages (11.4.1) 2022-11-23T01:02:30.3028338Z Prepare all required actions 2022-11-23T01:02:30.3028603Z Getting action download info 2022-11-23T01:02:30.4613922Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:4a8bfae15cc25cc0785c1603ee87a9da8fd442ea) 2022-11-23T01:02:30.6050168Z Download action repository 'actions/download-artifact@v3' (SHA:9782bd6a9848b53b110e712e20e42d89988822b7) 2022-11-23T01:02:30.7332252Z ##[group]Run ./.github/actions/download-build-artifacts 2022-11-23T01:02:30.7332475Z with: 2022-11-23T01:02:30.7332696Z name: parallelnative-linux-focal-py3.7-gcc7 2022-11-23T01:02:30.7332901Z env: 2022-11-23T01:02:30.7333069Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:02:30.7333251Z ##[endgroup] 2022-11-23T01:02:30.7359260Z ##[group]Run seemethere/download-artifact-s3@v4 2022-11-23T01:02:30.7359474Z with: 2022-11-23T01:02:30.7359683Z name: parallelnative-linux-focal-py3.7-gcc7 2022-11-23T01:02:30.7359923Z s3-bucket: gha-artifacts 2022-11-23T01:02:30.7360112Z region: us-east-1 2022-11-23T01:02:30.7360292Z env: 2022-11-23T01:02:30.7360463Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:02:30.7360633Z ##[endgroup] 2022-11-23T01:02:31.1441177Z Found 1 objects with prefix pytorch/pytorch/3528293554/parallelnative-linux-focal-py3.7-gcc7/ 2022-11-23T01:02:31.1442008Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2022-11-23T01:02:38.7673676Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2022-11-23T01:02:38.7673926Z 2022-11-23T01:02:38.7688758Z ##[warning]The `set-output` command is deprecated and will be disabled soon. Please upgrade to using Environment Files. For more information see: https://github.blog/changelog/2022-10-11-github-actions-deprecating-save-state-and-set-output-commands/ 2022-11-23T01:02:38.7696086Z Artifact download has finished successfully 2022-11-23T01:02:38.7849889Z ##[group]Run unzip -o artifacts.zip 2022-11-23T01:02:38.7850120Z unzip -o artifacts.zip 2022-11-23T01:02:38.7861533Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-11-23T01:02:38.7861741Z env: 2022-11-23T01:02:38.7861918Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:02:38.7862103Z ##[endgroup] 2022-11-23T01:02:38.8160489Z Archive: artifacts.zip 2022-11-23T01:02:38.8161345Z creating: dist/ 2022-11-23T01:02:39.5711189Z inflating: dist/torch-1.14.0a0+git1cfd385-cp37-cp37m-linux_x86_64.whl 2022-11-23T01:02:39.5712017Z creating: build/custom_test_artifacts/ 2022-11-23T01:02:39.5712366Z creating: build/custom_test_artifacts/custom-op-build/ 2022-11-23T01:02:39.5712716Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/ 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inflating: build/bin/test_jit 2022-11-23T01:02:43.8527633Z inflating: .pytorch-test-times.json 2022-11-23T01:02:43.8549616Z ##[group]Run df -H 2022-11-23T01:02:43.8549803Z df -H 2022-11-23T01:02:43.8560948Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-11-23T01:02:43.8561154Z env: 2022-11-23T01:02:43.8561331Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:02:43.8561527Z ##[endgroup] 2022-11-23T01:02:43.8615454Z Filesystem Size Used Avail Use% Mounted on 2022-11-23T01:02:43.8615797Z devtmpfs 8.2G 0 8.2G 0% /dev 2022-11-23T01:02:43.8616147Z tmpfs 8.2G 9.1M 8.2G 1% /dev/shm 2022-11-23T01:02:43.8616382Z tmpfs 8.2G 431k 8.2G 1% /run 2022-11-23T01:02:43.8616658Z tmpfs 8.2G 0 8.2G 0% /sys/fs/cgroup 2022-11-23T01:02:43.8617058Z /dev/nvme0n1p1 162G 16G 146G 10% / 2022-11-23T01:02:43.8635215Z ##[group]Run .github/scripts/parse_ref.py 2022-11-23T01:02:43.8635448Z .github/scripts/parse_ref.py 2022-11-23T01:02:43.8645872Z shell: /usr/bin/bash -e {0} 2022-11-23T01:02:43.8646057Z env: 2022-11-23T01:02:43.8646223Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:02:43.8646411Z ##[endgroup] 2022-11-23T01:02:43.8864303Z ##[group]Run set -x 2022-11-23T01:02:43.8864577Z set -x 2022-11-23T01:02:43.8864742Z  2022-11-23T01:02:43.8864923Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2022-11-23T01:02:43.8865181Z  TEST_COMMAND=.jenkins/pytorch/multigpu-test.sh 2022-11-23T01:02:43.8865438Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2022-11-23T01:02:43.8865663Z  TEST_COMMAND=.jenkins/caffe2/test.sh 2022-11-23T01:02:43.8865861Z else 2022-11-23T01:02:43.8866312Z  TEST_COMMAND=.jenkins/pytorch/test.sh 2022-11-23T01:02:43.8866665Z fi 2022-11-23T01:02:43.8866808Z  2022-11-23T01:02:43.8867042Z COMMIT_MESSAGES=$(git cherry -v "origin/${GIT_DEFAULT_BRANCH:-master}") 2022-11-23T01:02:43.8867276Z  2022-11-23T01:02:43.8867478Z # sanitize the input commit message and PR body here: 2022-11-23T01:02:43.8867690Z # 2022-11-23T01:02:43.8867966Z # trim all new lines from commit messages + PR_BODY to avoid issues with batch environment 2022-11-23T01:02:43.8868331Z # variable copying. see https://github.com/pytorch/pytorch/pull/80043#issuecomment-1167796028 2022-11-23T01:02:43.8868641Z COMMIT_MESSAGES="${COMMIT_MESSAGES//[$'\n\r']}" 2022-11-23T01:02:43.8868871Z PR_BODY="${PR_BODY//[$'\n\r']}" 2022-11-23T01:02:43.8869042Z  2022-11-23T01:02:43.8869300Z # then trim all special characters like single and double quotes to avoid unescaped inputs to 2022-11-23T01:02:43.8869573Z # wreak havoc internally 2022-11-23T01:02:43.8869809Z export COMMIT_MESSAGES="${COMMIT_MESSAGES//[\'\"]}" 2022-11-23T01:02:43.8870032Z export PR_BODY="${PR_BODY//[\'\"]}" 2022-11-23T01:02:43.8870216Z  2022-11-23T01:02:43.8870437Z # detached container should get cleaned up by teardown_ec2_linux 2022-11-23T01:02:43.8870718Z # TODO: Stop building test binaries as part of the build phase 2022-11-23T01:02:43.8870987Z # Used for GPU_FLAG since that doesn't play nice 2022-11-23T01:02:43.8871225Z # shellcheck disable=SC2086,SC2090 2022-11-23T01:02:43.8871442Z container_name=$(docker run \ 2022-11-23T01:02:43.8871628Z  ${GPU_FLAG:-} \ 2022-11-23T01:02:43.8871821Z  -e BUILD_ENVIRONMENT \ 2022-11-23T01:02:43.8872015Z  -e PR_NUMBER \ 2022-11-23T01:02:43.8872193Z  -e GITHUB_ACTIONS \ 2022-11-23T01:02:43.8872378Z  -e BASE_SHA \ 2022-11-23T01:02:43.8872555Z  -e BRANCH \ 2022-11-23T01:02:43.8872718Z  -e SHA1 \ 2022-11-23T01:02:43.8872903Z  -e AWS_DEFAULT_REGION \ 2022-11-23T01:02:43.8873099Z  -e IN_WHEEL_TEST \ 2022-11-23T01:02:43.8873273Z  -e SHARD_NUMBER \ 2022-11-23T01:02:43.8873460Z  -e TEST_CONFIG \ 2022-11-23T01:02:43.8873648Z  -e NUM_TEST_SHARDS \ 2022-11-23T01:02:43.8873821Z  -e PR_BODY \ 2022-11-23T01:02:43.8874008Z  -e COMMIT_MESSAGES \ 2022-11-23T01:02:43.8874215Z  -e PYTORCH_RETRY_TEST_CASES \ 2022-11-23T01:02:43.8874428Z  -e PYTORCH_OVERRIDE_FLAKY_SIGNAL \ 2022-11-23T01:02:43.8874631Z  -e PR_LABELS \ 2022-11-23T01:02:43.8874842Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2022-11-23T01:02:43.8875048Z  -e SCCACHE_BUCKET \ 2022-11-23T01:02:43.8875235Z  -e SCCACHE_S3_KEY_PREFIX \ 2022-11-23T01:02:43.8875426Z  -e XLA_CUDA \ 2022-11-23T01:02:43.8875630Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2022-11-23T01:02:43.8875852Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2022-11-23T01:02:43.8876089Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2022-11-23T01:02:43.8876344Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2022-11-23T01:02:43.8876566Z  --ulimit stack=10485760:83886080 \ 2022-11-23T01:02:43.8876794Z  --security-opt seccomp=unconfined \ 2022-11-23T01:02:43.8877064Z  --cap-add=SYS_PTRACE \ 2022-11-23T01:02:43.8877257Z  --ipc=host \ 2022-11-23T01:02:43.8877435Z  --shm-size="${SHM_SIZE}" \ 2022-11-23T01:02:43.8877619Z  --tty \ 2022-11-23T01:02:43.8877793Z  --detach \ 2022-11-23T01:02:43.8877975Z  --name="${container_name}" \ 2022-11-23T01:02:43.8878174Z  --user jenkins \ 2022-11-23T01:02:43.8878408Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2022-11-23T01:02:43.8878645Z  -w /var/lib/jenkins/workspace \ 2022-11-23T01:02:43.8878849Z  "${DOCKER_IMAGE}" 2022-11-23T01:02:43.8879049Z ) 2022-11-23T01:02:43.8879256Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2022-11-23T01:02:43.8879583Z docker exec -t "${container_name}" sh -c "pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2022-11-23T01:02:43.8890516Z shell: /usr/bin/bash -e {0} 2022-11-23T01:02:43.8890683Z env: 2022-11-23T01:02:43.8890860Z GIT_DEFAULT_BRANCH: master 2022-11-23T01:02:43.8891125Z BUILD_ENVIRONMENT: parallelnative-linux-focal-py3.7-gcc7 2022-11-23T01:02:43.8891367Z PR_NUMBER: 2022-11-23T01:02:43.8891521Z BRANCH: master 2022-11-23T01:02:43.8891721Z SHA1: 1cfd3858ac54fe3883534309081631a0a892ba3f 2022-11-23T01:02:43.8891956Z BASE_SHA: 1cfd3858ac54fe3883534309081631a0a892ba3f 2022-11-23T01:02:43.8892161Z PYTORCH_RETRY_TEST_CASES: 1 2022-11-23T01:02:43.8892369Z PYTORCH_OVERRIDE_FLAKY_SIGNAL: 1 2022-11-23T01:02:43.8892562Z TEST_CONFIG: default 2022-11-23T01:02:43.8892724Z SHARD_NUMBER: 2 2022-11-23T01:02:43.8892897Z NUM_TEST_SHARDS: 2 2022-11-23T01:02:43.8893065Z PR_BODY: 2022-11-23T01:02:43.8893274Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2022-11-23T01:02:43.8893512Z SCCACHE_S3_KEY_PREFIX: trunk 2022-11-23T01:02:43.8893693Z SHM_SIZE: 1g 2022-11-23T01:02:43.8894015Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.7-gcc7:072aae4a77ed7d3a69ad5683420509c41301b940 2022-11-23T01:02:43.8894333Z XLA_CUDA: 2022-11-23T01:02:43.8894587Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2022-11-23T01:02:43.8894865Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2022-11-23T01:02:43.8895072Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2022-11-23T01:02:43.8895265Z ##[endgroup] 2022-11-23T01:02:43.8919799Z + [[ default == \m\u\l\t\i\g\p\u ]] 2022-11-23T01:02:43.8920486Z + [[ parallelnative-linux-focal-py3.7-gcc7 == *onnx* ]] 2022-11-23T01:02:43.8920785Z + TEST_COMMAND=.jenkins/pytorch/test.sh 2022-11-23T01:02:43.8922833Z ++ git cherry -v origin/master 2022-11-23T01:02:43.8936883Z + COMMIT_MESSAGES= 2022-11-23T01:02:43.8937281Z + COMMIT_MESSAGES= 2022-11-23T01:02:43.8937579Z + PR_BODY= 2022-11-23T01:02:43.8937966Z + export COMMIT_MESSAGES= 2022-11-23T01:02:43.8938304Z + COMMIT_MESSAGES= 2022-11-23T01:02:43.8938625Z + export PR_BODY= 2022-11-23T01:02:43.8939083Z + PR_BODY= 2022-11-23T01:02:43.8946835Z +++ nproc --ignore=2 2022-11-23T01:02:43.8956774Z ++ docker run -e BUILD_ENVIRONMENT -e PR_NUMBER -e GITHUB_ACTIONS -e BASE_SHA -e BRANCH -e SHA1 -e AWS_DEFAULT_REGION -e IN_WHEEL_TEST -e SHARD_NUMBER -e TEST_CONFIG -e NUM_TEST_SHARDS -e PR_BODY -e COMMIT_MESSAGES -e PYTORCH_RETRY_TEST_CASES -e PYTORCH_OVERRIDE_FLAKY_SIGNAL -e PR_LABELS -e MAX_JOBS=6 -e SCCACHE_BUCKET -e SCCACHE_S3_KEY_PREFIX -e XLA_CUDA -e XLA_CLANG_CACHE_S3_BUCKET_NAME -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK -e PYTORCH_TEST_RERUN_DISABLED_TESTS --env-file=/tmp/github_env_3528293554 --ulimit stack=10485760:83886080 --security-opt seccomp=unconfined --cap-add=SYS_PTRACE --ipc=host --shm-size=1g --tty --detach --name= --user jenkins -v /home/ec2-user/actions-runner/_work/pytorch/pytorch:/var/lib/jenkins/workspace -w /var/lib/jenkins/workspace 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.7-gcc7:072aae4a77ed7d3a69ad5683420509c41301b940 2022-11-23T01:02:54.2399811Z + container_name=3d816b21b60748116165bbfd8f1e5c023294e9d2a5f92780839387be6eab971d 2022-11-23T01:02:54.2400648Z + echo DOCKER_CONTAINER_ID=3d816b21b60748116165bbfd8f1e5c023294e9d2a5f92780839387be6eab971d 2022-11-23T01:02:54.2404258Z ++ echo dist/torch-1.14.0a0+git1cfd385-cp37-cp37m-linux_x86_64.whl 2022-11-23T01:02:54.2406376Z + docker exec -t 3d816b21b60748116165bbfd8f1e5c023294e9d2a5f92780839387be6eab971d sh -c 'pip install dist/torch-1.14.0a0+git1cfd385-cp37-cp37m-linux_x86_64.whl[opt-einsum] && .jenkins/pytorch/test.sh' 2022-11-23T01:02:54.6456207Z Processing ./dist/torch-1.14.0a0+git1cfd385-cp37-cp37m-linux_x86_64.whl 2022-11-23T01:02:55.0079632Z Requirement already satisfied: sympy in /opt/conda/lib/python3.7/site-packages (from torch==1.14.0a0+git1cfd385) (1.10.1) 2022-11-23T01:02:55.0082529Z Requirement already satisfied: typing-extensions in /opt/conda/lib/python3.7/site-packages (from torch==1.14.0a0+git1cfd385) (4.3.0) 2022-11-23T01:02:55.0086179Z Requirement already satisfied: networkx in /opt/conda/lib/python3.7/site-packages (from torch==1.14.0a0+git1cfd385) (2.6.3) 2022-11-23T01:02:55.0100932Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/lib/python3.7/site-packages (from torch==1.14.0a0+git1cfd385) (3.3.0) 2022-11-23T01:02:55.0163561Z Requirement already satisfied: numpy>=1.7 in /opt/conda/lib/python3.7/site-packages (from opt-einsum>=3.3->torch==1.14.0a0+git1cfd385) (1.18.5) 2022-11-23T01:02:55.0338595Z Requirement already satisfied: mpmath>=0.19 in /opt/conda/lib/python3.7/site-packages (from sympy->torch==1.14.0a0+git1cfd385) (1.2.1) 2022-11-23T01:02:55.7912541Z Installing collected packages: torch 2022-11-23T01:03:01.4170771Z Successfully installed torch-1.14.0a0+git1cfd385 2022-11-23T01:03:01.4889797Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2022-11-23T01:03:01.5048697Z + TORCH_INSTALL_DIR=/opt/conda/lib/python3.7/site-packages/torch 2022-11-23T01:03:01.5049216Z + TORCH_BIN_DIR=/opt/conda/lib/python3.7/site-packages/torch/bin 2022-11-23T01:03:01.5049724Z + TORCH_LIB_DIR=/opt/conda/lib/python3.7/site-packages/torch/lib 2022-11-23T01:03:01.5050160Z + TORCH_TEST_DIR=/opt/conda/lib/python3.7/site-packages/torch/test 2022-11-23T01:03:01.5050378Z + BUILD_DIR=build 2022-11-23T01:03:01.5050627Z + BUILD_RENAMED_DIR=build_renamed 2022-11-23T01:03:01.5050889Z + BUILD_BIN_DIR=build/bin 2022-11-23T01:03:01.5051173Z + export VALGRIND=ON 2022-11-23T01:03:01.5054469Z + VALGRIND=ON 2022-11-23T01:03:01.5054994Z + [[ parallelnative-linux-focal-py3.7-gcc7 == *clang9* ]] 2022-11-23T01:03:01.5055367Z + [[ parallelnative-linux-focal-py3.7-gcc7 != *bazel* ]] 2022-11-23T01:03:01.5055694Z ++ realpath build/custom_test_artifacts 2022-11-23T01:03:01.5060656Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2022-11-23T01:03:01.5062640Z ++ dirname .jenkins/pytorch/test.sh 2022-11-23T01:03:01.5067959Z + source .jenkins/pytorch/common.sh 2022-11-23T01:03:01.5070713Z +++ dirname .jenkins/pytorch/common.sh 2022-11-23T01:03:01.5075814Z ++ source .jenkins/pytorch/common_utils.sh 2022-11-23T01:03:01.5077557Z +++ declare -f -t trap_add 2022-11-23T01:03:01.5082251Z ++ set -ex 2022-11-23T01:03:01.5083002Z ++ [[ parallelnative-linux-focal-py3.7-gcc7 == *rocm* ]] 2022-11-23T01:03:01.5083479Z ++ BUILD_TEST_LIBTORCH=0 2022-11-23T01:03:01.5083908Z + echo 'Environment variables' 2022-11-23T01:03:01.5084099Z Environment variables 2022-11-23T01:03:01.5084272Z + env 2022-11-23T01:03:01.5091125Z INSTALLED_DB=yes 2022-11-23T01:03:01.5091617Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2022-11-23T01:03:01.5092265Z BUILD_ENVIRONMENT=parallelnative-linux-focal-py3.7-gcc7 2022-11-23T01:03:01.5092758Z PYTORCH_OVERRIDE_FLAKY_SIGNAL=1 2022-11-23T01:03:01.5093091Z HOSTNAME=3d816b21b607 2022-11-23T01:03:01.5093627Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_589cf543-30b3-44c3-9bb7-8eaea6995a9d 2022-11-23T01:03:01.5093991Z GITHUB_ACTION=__self 2022-11-23T01:03:01.5094380Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2022-11-23T01:03:01.5094771Z GITHUB_RUN_NUMBER=18336 2022-11-23T01:03:01.5095125Z TEST_CONFIG=default 2022-11-23T01:03:01.5095811Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2022-11-23T01:03:01.5096170Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2022-11-23T01:03:01.5096486Z GITHUB_REF_TYPE=branch 2022-11-23T01:03:01.5096829Z TORCH_CUDA_ARCH_LIST=Maxwell 2022-11-23T01:03:01.5097131Z BASE_SHA=1cfd3858ac54fe3883534309081631a0a892ba3f 2022-11-23T01:03:01.5097437Z XLA_CUDA= 2022-11-23T01:03:01.5098205Z *** 2022-11-23T01:03:01.5098524Z CARGO_NET_GIT_FETCH_WITH_CLI=true 2022-11-23T01:03:01.5099066Z GITHUB_ACTIONS=true 2022-11-23T01:03:01.5099450Z SHA1=1cfd3858ac54fe3883534309081631a0a892ba3f 2022-11-23T01:03:01.5099826Z GITHUB_SHA=1cfd3858ac54fe3883534309081631a0a892ba3f 2022-11-23T01:03:01.5100375Z UCC_HOME=/usr 2022-11-23T01:03:01.5100716Z GITHUB_REF=refs/heads/master 2022-11-23T01:03:01.5101075Z SHARD_NUMBER=2 2022-11-23T01:03:01.5101401Z GITHUB_REF_PROTECTED=true 2022-11-23T01:03:01.5101655Z HOME=/var/lib/jenkins 2022-11-23T01:03:01.5101985Z GITHUB_API_URL=https://api.github.com 2022-11-23T01:03:01.5102396Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2022-11-23T01:03:01.5102774Z INSTALLED_THRIFT= 2022-11-23T01:03:01.5103098Z UCX_COMMIT= 2022-11-23T01:03:01.5103296Z SCCACHE_S3_KEY_PREFIX=trunk 2022-11-23T01:03:01.5103469Z NUM_TEST_SHARDS=2 2022-11-23T01:03:01.5103639Z UCX_HOME=/usr 2022-11-23T01:03:01.5104074Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_589cf543-30b3-44c3-9bb7-8eaea6995a9d 2022-11-23T01:03:01.5104361Z PYTORCH_RETRY_TEST_CASES=1 2022-11-23T01:03:01.5104761Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_589cf543-30b3-44c3-9bb7-8eaea6995a9d 2022-11-23T01:03:01.5105199Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2022-11-23T01:03:01.5105448Z GITHUB_EVENT_NAME=push 2022-11-23T01:03:01.5105635Z GITHUB_RUN_ID=3528293554 2022-11-23T01:03:01.5106052Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_589cf543-30b3-44c3-9bb7-8eaea6995a9d 2022-11-23T01:03:01.5106366Z GITHUB_ACTOR=pytorchmergebot 2022-11-23T01:03:01.5106635Z PR_NUMBER= 2022-11-23T01:03:01.5144587Z DESIRED_CUDA= 2022-11-23T01:03:01.5145026Z GITHUB_RUN_ATTEMPT=1 2022-11-23T01:03:01.5145406Z VALGRIND=ON 2022-11-23T01:03:01.5145802Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2022-11-23T01:03:01.5146151Z TERM=xterm 2022-11-23T01:03:01.5146438Z INSTALLED_VISION=yes 2022-11-23T01:03:01.5146810Z BRANCH=master 2022-11-23T01:03:01.5147094Z OPENSSL_ROOT_DIR=/opt/openssl 2022-11-23T01:03:01.5147421Z CUDA_PATH=/usr/local/cuda 2022-11-23T01:03:01.5148082Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2022-11-23T01:03:01.5148549Z GITHUB_SERVER_URL=https://github.com 2022-11-23T01:03:01.5148869Z UCC_COMMIT= 2022-11-23T01:03:01.5149139Z INSTALLED_ANDROID= 2022-11-23T01:03:01.5149392Z SHLVL=1 2022-11-23T01:03:01.5149642Z MAX_JOBS=6 2022-11-23T01:03:01.5149904Z COMMIT_MESSAGES= 2022-11-23T01:03:01.5150188Z GITHUB_REF_NAME=master 2022-11-23T01:03:01.5150800Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2022-11-23T01:03:01.5151249Z GITHUB_JOB=test 2022-11-23T01:03:01.5151571Z GITHUB_REPOSITORY=pytorch/pytorch 2022-11-23T01:03:01.5151901Z GITHUB_RETENTION_DAYS=90 2022-11-23T01:03:01.5152210Z OPENSSL_DIR=/opt/openssl 2022-11-23T01:03:01.5152508Z GITHUB_ACTION_REPOSITORY= 2022-11-23T01:03:01.5153022Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2022-11-23T01:03:01.5153485Z GITHUB_BASE_REF= 2022-11-23T01:03:01.5153754Z CI=true 2022-11-23T01:03:01.5154042Z GITHUB_REPOSITORY_OWNER=pytorch 2022-11-23T01:03:01.5154407Z INSTALLED_PROTOBUF=yes 2022-11-23T01:03:01.5154708Z GITHUB_HEAD_REF= 2022-11-23T01:03:01.5154986Z GITHUB_ACTION_REF= 2022-11-23T01:03:01.5155471Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2022-11-23T01:03:01.5155859Z GITHUB_WORKFLOW=trunk 2022-11-23T01:03:01.5156177Z DEBIAN_FRONTEND=noninteractive 2022-11-23T01:03:01.5157088Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_589cf543-30b3-44c3-9bb7-8eaea6995a9d 2022-11-23T01:03:01.5157566Z PR_BODY= 2022-11-23T01:03:01.5157802Z _=/usr/bin/env 2022-11-23T01:03:01.5158154Z + echo 'Testing pytorch' 2022-11-23T01:03:01.5158466Z Testing pytorch 2022-11-23T01:03:01.5158786Z + export LANG=C.UTF-8 2022-11-23T01:03:01.5159110Z + LANG=C.UTF-8 2022-11-23T01:03:01.5159386Z + PR_NUMBER= 2022-11-23T01:03:01.5159670Z + [[ default == \d\e\f\a\u\l\t ]] 2022-11-23T01:03:01.5160017Z + export CUDA_VISIBLE_DEVICES=0 2022-11-23T01:03:01.5160358Z + CUDA_VISIBLE_DEVICES=0 2022-11-23T01:03:01.5160834Z + export HIP_VISIBLE_DEVICES=0 2022-11-23T01:03:01.5161170Z + HIP_VISIBLE_DEVICES=0 2022-11-23T01:03:01.5161522Z + [[ default == \d\i\s\t\r\i\b\u\t\e\d ]] 2022-11-23T01:03:01.5161842Z + [[ default == \s\l\o\w ]] 2022-11-23T01:03:01.5162432Z + [[ parallelnative-linux-focal-py3.7-gcc7 == *slow-gradcheck* ]] 2022-11-23T01:03:01.5163102Z + [[ parallelnative-linux-focal-py3.7-gcc7 == *cuda* ]] 2022-11-23T01:03:01.5163706Z + [[ parallelnative-linux-focal-py3.7-gcc7 == *rocm* ]] 2022-11-23T01:03:01.5164094Z + [[ default == *crossref* ]] 2022-11-23T01:03:01.5164401Z + [[ default == *dynamo* ]] 2022-11-23T01:03:01.5179677Z + [[ default == *inductor* ]] 2022-11-23T01:03:01.5180117Z + [[ parallelnative-linux-focal-py3.7-gcc7 == *rocm* ]] 2022-11-23T01:03:01.5180495Z + [[ parallelnative-linux-focal-py3.7-gcc7 != *-bazel-* ]] 2022-11-23T01:03:01.5180792Z + pip_install --user ninja==1.10.2 2022-11-23T01:03:01.5181068Z + pip install --progress-bar off --user ninja==1.10.2 2022-11-23T01:03:01.9145639Z Collecting ninja==1.10.2 2022-11-23T01:03:01.9538408Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2022-11-23T01:03:02.6906603Z Installing collected packages: ninja 2022-11-23T01:03:02.6997929Z  WARNING: The script ninja is installed in '/var/lib/jenkins/.local/bin' which is not on PATH. 2022-11-23T01:03:02.6998553Z Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location. 2022-11-23T01:03:02.7058626Z Successfully installed ninja-1.10.2 2022-11-23T01:03:02.7756323Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2022-11-23T01:03:02.7757028Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 2022-11-23T01:03:02.7757642Z + [[ parallelnative-linux-focal-py3.7-gcc7 == *asan* ]] 2022-11-23T01:03:02.7758036Z + [[ parallelnative-linux-focal-py3.7-gcc7 == *-tsan* ]] 2022-11-23T01:03:02.7758375Z + [[ default == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2022-11-23T01:03:02.7758636Z + [[ default == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2022-11-23T01:03:02.7762961Z + [[ parallelnative-linux-focal-py3.7-gcc7 == *tbb* ]] 2022-11-23T01:03:02.7774412Z + [[ parallelnative-linux-focal-py3.7-gcc7 == *libtorch* ]] 2022-11-23T01:03:02.7775080Z + [[ parallelnative-linux-focal-py3.7-gcc7 == *-bazel-* ]] 2022-11-23T01:03:02.7775735Z + [[ parallelnative-linux-focal-py3.7-gcc7 == *-tsan* ]] 2022-11-23T01:03:02.7777204Z + cd test 2022-11-23T01:03:02.7777689Z + python -c 'import torch; print(torch.__config__.show())' 2022-11-23T01:03:03.9224308Z PyTorch built with: 2022-11-23T01:03:03.9224869Z - GCC 7.5 2022-11-23T01:03:03.9225256Z - C++ Version: 201402 2022-11-23T01:03:03.9225735Z - Intel(R) oneAPI Math Kernel Library Version 2022.0-Product Build 20211112 for Intel(R) 64 architecture applications 2022-11-23T01:03:03.9226166Z - Intel(R) MKL-DNN v2.7.0 (Git Hash 650085b2f3643aad05c629425983491d63b5c289) 2022-11-23T01:03:03.9226458Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2022-11-23T01:03:03.9226785Z - LAPACK is enabled (usually provided by MKL) 2022-11-23T01:03:03.9227028Z - NNPACK is enabled 2022-11-23T01:03:03.9227255Z - CPU capability usage: AVX2 2022-11-23T01:03:03.9229828Z - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CXX_COMPILER=/opt/cache/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOCUPTI -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Werror -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_DISABLE_GPU_ASSERTS=ON, TORCH_VERSION=1.14.0, USE_CUDA=OFF, USE_CUDNN=OFF, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=OFF, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, 2022-11-23T01:03:03.9231664Z 2022-11-23T01:03:04.1017556Z + cd test 2022-11-23T01:03:04.1018218Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2022-11-23T01:03:05.1903711Z ATen/Parallel: 2022-11-23T01:03:05.1920230Z at::get_num_threads() : 4 2022-11-23T01:03:05.1920675Z at::get_num_interop_threads() : 4 2022-11-23T01:03:05.1921077Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2022-11-23T01:03:05.1921446Z omp_get_max_threads() : 1 2022-11-23T01:03:05.1922309Z Intel(R) oneAPI Math Kernel Library Version 2022.0-Product Build 20211112 for Intel(R) 64 architecture applications 2022-11-23T01:03:05.1922846Z mkl_get_max_threads() : 1 2022-11-23T01:03:05.1923401Z Intel(R) MKL-DNN v2.7.0 (Git Hash 650085b2f3643aad05c629425983491d63b5c289) 2022-11-23T01:03:05.1923874Z std::thread::hardware_concurrency() : 8 2022-11-23T01:03:05.1924279Z Environment variables: 2022-11-23T01:03:05.1924645Z OMP_NUM_THREADS : [not set] 2022-11-23T01:03:05.1925023Z MKL_NUM_THREADS : [not set] 2022-11-23T01:03:05.1925434Z ATen parallel backend: native thread pool 2022-11-23T01:03:05.1925701Z 2022-11-23T01:03:05.3691593Z + [[ default == *backward* ]] 2022-11-23T01:03:05.3691943Z + [[ default == *xla* ]] 2022-11-23T01:03:05.3692271Z + [[ default == \j\i\t\_\l\e\g\a\c\y ]] 2022-11-23T01:03:05.3693016Z + [[ parallelnative-linux-focal-py3.7-gcc7 == *libtorch* ]] 2022-11-23T01:03:05.3693484Z + [[ default == distributed ]] 2022-11-23T01:03:05.3693855Z + [[ default == deploy ]] 2022-11-23T01:03:05.3694175Z + [[ default == *inductor_distributed* ]] 2022-11-23T01:03:05.3694432Z + [[ default == *dynamo* ]] 2022-11-23T01:03:05.3694659Z + [[ default == *dynamo* ]] 2022-11-23T01:03:05.3694889Z + [[ default == *inductor_huggingface* ]] 2022-11-23T01:03:05.3695087Z + [[ default == *inductor_timm* ]] 2022-11-23T01:03:05.3695303Z + [[ default == *inductor_torchbench* ]] 2022-11-23T01:03:05.3695506Z + [[ default == *inductor* ]] 2022-11-23T01:03:05.3695737Z + [[ 2 == 1 ]] 2022-11-23T01:03:05.3696034Z + [[ 2 == 2 ]] 2022-11-23T01:03:05.3696395Z + [[ 2 -gt 1 ]] 2022-11-23T01:03:05.3696573Z + install_torchvision 2022-11-23T01:03:05.3696747Z + local commit 2022-11-23T01:03:05.3696928Z ++ get_pinned_commit vision 2022-11-23T01:03:05.3697126Z ++ cat .github/ci_commit_pins/vision.txt 2022-11-23T01:03:05.3707413Z + commit=4a310f26049371959617921d0eb9b001f4d262c6 2022-11-23T01:03:05.3708221Z + pip_install --no-use-pep517 --user git+https://github.com/pytorch/vision.git@4a310f26049371959617921d0eb9b001f4d262c6 2022-11-23T01:03:05.3708799Z + pip install --progress-bar off --no-use-pep517 --user git+https://github.com/pytorch/vision.git@4a310f26049371959617921d0eb9b001f4d262c6 2022-11-23T01:03:05.7091803Z Collecting git+https://github.com/pytorch/vision.git@4a310f26049371959617921d0eb9b001f4d262c6 2022-11-23T01:03:05.7098195Z Cloning https://github.com/pytorch/vision.git (to revision 4a310f26049371959617921d0eb9b001f4d262c6) to /tmp/pip-req-build-6hu3fgpk 2022-11-23T01:03:05.7128876Z Running command git clone --filter=blob:none --quiet https://github.com/pytorch/vision.git /tmp/pip-req-build-6hu3fgpk 2022-11-23T01:03:07.2165406Z Running command git rev-parse -q --verify 'sha^4a310f26049371959617921d0eb9b001f4d262c6' 2022-11-23T01:03:07.2196935Z Running command git fetch -q https://github.com/pytorch/vision.git 4a310f26049371959617921d0eb9b001f4d262c6 2022-11-23T01:03:08.1151472Z Resolved https://github.com/pytorch/vision.git to commit 4a310f26049371959617921d0eb9b001f4d262c6 2022-11-23T01:03:10.0536430Z Preparing metadata (setup.py) ... [?25l- done 2022-11-23T01:03:10.0613340Z [?25hRequirement already satisfied: typing_extensions in /opt/conda/lib/python3.7/site-packages (from torchvision==0.15.0a0+4a310f2) (4.3.0) 2022-11-23T01:03:10.0617202Z Requirement already satisfied: numpy in /opt/conda/lib/python3.7/site-packages (from torchvision==0.15.0a0+4a310f2) (1.18.5) 2022-11-23T01:03:10.0620959Z Requirement already satisfied: requests in /opt/conda/lib/python3.7/site-packages (from torchvision==0.15.0a0+4a310f2) (2.27.1) 2022-11-23T01:03:10.0624542Z Requirement already satisfied: torch in /opt/conda/lib/python3.7/site-packages (from torchvision==0.15.0a0+4a310f2) (1.14.0a0+git1cfd385) 2022-11-23T01:03:10.0631499Z Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /opt/conda/lib/python3.7/site-packages (from torchvision==0.15.0a0+4a310f2) (9.3.0) 2022-11-23T01:03:10.0888808Z Requirement already satisfied: idna<4,>=2.5 in /opt/conda/lib/python3.7/site-packages (from requests->torchvision==0.15.0a0+4a310f2) (3.3) 2022-11-23T01:03:10.0894809Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /opt/conda/lib/python3.7/site-packages (from requests->torchvision==0.15.0a0+4a310f2) (1.26.8) 2022-11-23T01:03:10.0908339Z Requirement already satisfied: charset-normalizer~=2.0.0 in /opt/conda/lib/python3.7/site-packages (from requests->torchvision==0.15.0a0+4a310f2) (2.0.4) 2022-11-23T01:03:10.0914412Z Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/lib/python3.7/site-packages (from requests->torchvision==0.15.0a0+4a310f2) (2022.9.24) 2022-11-23T01:03:10.0963401Z Requirement already satisfied: sympy in /opt/conda/lib/python3.7/site-packages (from torch->torchvision==0.15.0a0+4a310f2) (1.10.1) 2022-11-23T01:03:10.0966884Z Requirement already satisfied: networkx in /opt/conda/lib/python3.7/site-packages (from torch->torchvision==0.15.0a0+4a310f2) (2.6.3) 2022-11-23T01:03:10.1260334Z Requirement already satisfied: mpmath>=0.19 in /opt/conda/lib/python3.7/site-packages (from sympy->torch->torchvision==0.15.0a0+4a310f2) (1.2.1) 2022-11-23T01:03:10.1322457Z Building wheels for collected packages: torchvision 2022-11-23T01:04:19.2715885Z Building wheel for torchvision (setup.py) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / done 2022-11-23T01:04:19.3105328Z [?25h Created wheel for torchvision: filename=torchvision-0.15.0a0+4a310f2-cp37-cp37m-linux_x86_64.whl size=14064578 sha256=380926344d35af11f83ed9cf357ee1b11d070ae9b1e0ca8247b678358d71e195 2022-11-23T01:04:19.3105853Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/be/2a/11/87caf8b14bc88c89f07b8b05c79475919ca665366c69a5154d 2022-11-23T01:04:19.3153464Z Successfully built torchvision 2022-11-23T01:04:19.9880746Z Installing collected packages: torchvision 2022-11-23T01:04:20.5536715Z Successfully installed torchvision-0.15.0a0+4a310f2 2022-11-23T01:04:20.7441506Z + install_triton 2022-11-23T01:04:20.7441752Z + local commit 2022-11-23T01:04:20.7441932Z + [[ default == *rocm* ]] 2022-11-23T01:04:20.7443496Z ++ get_pinned_commit triton 2022-11-23T01:04:20.7443905Z ++ cat .github/ci_commit_pins/triton.txt 2022-11-23T01:04:20.7465011Z + commit=0d7e7532279e45672555e344646f5c19c3972331 2022-11-23T01:04:20.7466038Z + pip_install --user git+https://github.com/openai/triton@0d7e7532279e45672555e344646f5c19c3972331#subdirectory=python 2022-11-23T01:04:20.7466674Z + pip install --progress-bar off --user git+https://github.com/openai/triton@0d7e7532279e45672555e344646f5c19c3972331#subdirectory=python 2022-11-23T01:04:21.0899469Z Collecting git+https://github.com/openai/triton@0d7e7532279e45672555e344646f5c19c3972331#subdirectory=python 2022-11-23T01:04:21.0905132Z Cloning https://github.com/openai/triton (to revision 0d7e7532279e45672555e344646f5c19c3972331) to /tmp/pip-req-build-8nhxiu1q 2022-11-23T01:04:21.0937166Z Running command git clone --filter=blob:none --quiet https://github.com/openai/triton /tmp/pip-req-build-8nhxiu1q 2022-11-23T01:04:21.7182665Z Running command git rev-parse -q --verify 'sha^0d7e7532279e45672555e344646f5c19c3972331' 2022-11-23T01:04:21.7215479Z Running command git fetch -q https://github.com/openai/triton 0d7e7532279e45672555e344646f5c19c3972331 2022-11-23T01:04:22.0393897Z Running command git checkout -q 0d7e7532279e45672555e344646f5c19c3972331 2022-11-23T01:04:22.2042532Z Resolved https://github.com/openai/triton to commit 0d7e7532279e45672555e344646f5c19c3972331 2022-11-23T01:04:22.2044376Z Running command git submodule update --init --recursive -q 2022-11-23T01:04:22.7455384Z Preparing metadata (setup.py) ... [?25l- done 2022-11-23T01:04:22.9076744Z [?25hCollecting cmake 2022-11-23T01:04:22.9241626Z Downloading cmake-3.25.0-py2.py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (23.7 MB) 2022-11-23T01:04:23.2434014Z Collecting filelock 2022-11-23T01:04:23.2468685Z Downloading filelock-3.8.0-py3-none-any.whl (10 kB) 2022-11-23T01:04:23.2508124Z Requirement already satisfied: torch in /opt/conda/lib/python3.7/site-packages (from triton==2.0.0) (1.14.0a0+git1cfd385) 2022-11-23T01:04:23.2726447Z Requirement already satisfied: networkx in /opt/conda/lib/python3.7/site-packages (from torch->triton==2.0.0) (2.6.3) 2022-11-23T01:04:23.2730517Z Requirement already satisfied: typing-extensions in /opt/conda/lib/python3.7/site-packages (from torch->triton==2.0.0) (4.3.0) 2022-11-23T01:04:23.2734100Z Requirement already satisfied: sympy in /opt/conda/lib/python3.7/site-packages (from torch->triton==2.0.0) (1.10.1) 2022-11-23T01:04:23.2908530Z Requirement already satisfied: mpmath>=0.19 in /opt/conda/lib/python3.7/site-packages (from sympy->torch->triton==2.0.0) (1.2.1) 2022-11-23T01:04:23.2972051Z Building wheels for collected packages: triton 2022-11-23T01:05:06.3056654Z Building wheel for triton (setup.py) ... [?25l- \ | / - \ | / - \ | / - done 2022-11-23T01:05:06.3429137Z [?25h Created wheel for triton: filename=triton-2.0.0-cp37-cp37m-linux_x86_64.whl size=15370740 sha256=bbe640a9be577d57677dae68d8681d2bd82a7c7ab690d230dc067060b01a9a1b 2022-11-23T01:05:06.3429966Z Stored in directory: /var/lib/jenkins/.cache/pip/wheels/aa/c5/3a/263a5ba27ed44796dab5f19b43135afb68beabac5d137652f7 2022-11-23T01:05:06.3453967Z Successfully built triton 2022-11-23T01:05:07.0799469Z Installing collected packages: cmake, filelock, triton 2022-11-23T01:05:08.4686272Z Successfully installed cmake-3.25.0 filelock-3.8.0 triton-2.0.0 2022-11-23T01:05:08.5799675Z + pip_install --user jinja2 2022-11-23T01:05:08.5800019Z + pip install --progress-bar off --user jinja2 2022-11-23T01:05:08.9991664Z Collecting jinja2 2022-11-23T01:05:09.0141777Z Downloading Jinja2-3.1.2-py3-none-any.whl (133 kB) 2022-11-23T01:05:09.0703394Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/lib/python3.7/site-packages (from jinja2) (2.1.1) 2022-11-23T01:05:09.8176908Z Installing collected packages: jinja2 2022-11-23T01:05:09.9548424Z Successfully installed jinja2-3.1.2 2022-11-23T01:05:10.0177257Z + test_python_shard 2 2022-11-23T01:05:10.0177782Z + [[ -z 2 ]] 2022-11-23T01:05:10.0178322Z + python test/run_test.py --exclude-jit-executor --exclude-distributed-tests --shard 2 2 --verbose 2022-11-23T01:05:11.5356986Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:05:12.1449001Z Ignoring disabled issues: [] 2022-11-23T01:05:12.2770917Z Found test time stats from artifacts 2022-11-23T01:05:12.2813423Z Selected tests: 2022-11-23T01:05:12.2813706Z inductor/test_torchinductor_opinfo 2022-11-23T01:05:12.2814096Z test_ops_gradients 2022-11-23T01:05:12.2814404Z test_modules 2022-11-23T01:05:12.2814608Z test_reductions 2022-11-23T01:05:12.2816403Z test_nn 2022-11-23T01:05:12.2816742Z test_tensorexpr 2022-11-23T01:05:12.2817001Z test_cpp_extensions_jit 2022-11-23T01:05:12.2817193Z nn/test_pooling 2022-11-23T01:05:12.2817402Z test_autograd 2022-11-23T01:05:12.2817645Z test_torch 2022-11-23T01:05:12.2817828Z test_cpp_api_parity 2022-11-23T01:05:12.2817997Z test_overrides 2022-11-23T01:05:12.2818412Z test_indexing 2022-11-23T01:05:12.2819011Z test_fake_tensor 2022-11-23T01:05:12.2819276Z test_jit_disabled 2022-11-23T01:05:12.2819642Z test_multiprocessing_spawn 2022-11-23T01:05:12.2820010Z test_prims 2022-11-23T01:05:12.2820304Z test_cpp_extensions_aot_ninja 2022-11-23T01:05:12.2820548Z test_cpp_extensions_aot_no_ninja 2022-11-23T01:05:12.2820768Z dynamo/test_global_declaration 2022-11-23T01:05:12.2820968Z dynamo/test_torchxla_integration 2022-11-23T01:05:12.2821169Z inductor/test_smoke 2022-11-23T01:05:12.2844127Z lazy/test_extract_compiled_graph 2022-11-23T01:05:12.2844625Z test_comparison_utils 2022-11-23T01:05:12.2844963Z test_cuda_nvml_based_avail 2022-11-23T01:05:12.2845280Z test_cuda_sanitizer 2022-11-23T01:05:12.2845559Z test_deploy 2022-11-23T01:05:12.2845835Z test_jiterator 2022-11-23T01:05:12.2846142Z test_pruning_op 2022-11-23T01:05:12.2846445Z test_decomp 2022-11-23T01:05:12.2846735Z test_quantization 2022-11-23T01:05:12.2847004Z test_proxy_tensor 2022-11-23T01:05:12.2847318Z inductor/test_torchinductor 2022-11-23T01:05:12.2847558Z test_jit_fuser_te 2022-11-23T01:05:12.2847800Z test_jit 2022-11-23T01:05:12.2848069Z test_dataloader 2022-11-23T01:05:12.2848421Z test_functional_autograd_benchmark 2022-11-23T01:05:12.2848792Z test_jit_llga_fuser 2022-11-23T01:05:12.2849014Z inductor/test_minifier 2022-11-23T01:05:12.2849216Z dynamo/test_dynamic_shapes 2022-11-23T01:05:12.2849401Z test_testing 2022-11-23T01:05:12.2849554Z test_sparse 2022-11-23T01:05:12.2849727Z test_transformers 2022-11-23T01:05:12.2849918Z test_xnnpack_integration 2022-11-23T01:05:12.2850092Z lazy/test_ts_opinfo 2022-11-23T01:05:12.2850267Z test_stateless 2022-11-23T01:05:12.2850439Z nn/test_embedding 2022-11-23T01:05:12.2850599Z test_mkl_verbose 2022-11-23T01:05:12.2850772Z dynamo/test_misc 2022-11-23T01:05:12.2850947Z test_mkldnn_verbose 2022-11-23T01:05:12.2851113Z test_import_stats 2022-11-23T01:05:12.2851283Z test_utils 2022-11-23T01:05:12.2851447Z test_openmp 2022-11-23T01:05:12.2851606Z test_package 2022-11-23T01:05:12.2851784Z lazy/test_step_closures 2022-11-23T01:05:12.2889744Z test_logging 2022-11-23T01:05:12.2890027Z test_expanded_weights 2022-11-23T01:05:12.2890351Z test_scatter_gather_ops 2022-11-23T01:05:12.2890639Z dynamo/test_export 2022-11-23T01:05:12.2890965Z dynamo/test_optimizers 2022-11-23T01:05:12.2891325Z dynamo/test_modules 2022-11-23T01:05:12.2891562Z test_shape_ops 2022-11-23T01:05:12.2891739Z test_dynamic_shapes 2022-11-23T01:05:12.2891905Z test_namedtensor 2022-11-23T01:05:12.2892078Z test_model_dump 2022-11-23T01:05:12.2892271Z dynamo/test_verify_correctness 2022-11-23T01:05:12.2892445Z test_monitor 2022-11-23T01:05:12.2892625Z test_fx_reinplace_pass 2022-11-23T01:05:12.2892815Z nn/test_packed_sequence 2022-11-23T01:05:12.2892989Z dynamo/test_global 2022-11-23T01:05:12.2893169Z test_python_dispatch 2022-11-23T01:05:12.2893373Z benchmark_utils/test_benchmark_utils 2022-11-23T01:05:12.2893562Z test_native_functions 2022-11-23T01:05:12.2893751Z nn/test_module_hooks 2022-11-23T01:05:12.2893925Z test_pytree 2022-11-23T01:05:12.2894086Z test_per_overload_api 2022-11-23T01:05:12.2894292Z test_set_default_mobile_cpu_allocator 2022-11-23T01:05:12.2894486Z test_itt 2022-11-23T01:05:12.2894634Z test_native_mha 2022-11-23T01:05:12.2894810Z test_numpy_interop 2022-11-23T01:05:12.2894986Z test_dlpack 2022-11-23T01:05:12.3344492Z Prioritized test from test file changes. 2022-11-23T01:05:12.3344791Z reordering tests for PR: 2022-11-23T01:05:12.3344995Z prioritized: [] 2022-11-23T01:05:12.3348315Z the rest: ['inductor/test_torchinductor_opinfo', 'test_ops_gradients', 'test_modules', 'test_reductions', 'test_nn', 'test_tensorexpr', 'test_cpp_extensions_jit', 'nn/test_pooling', 'test_autograd', 'test_torch', 'test_cpp_api_parity', 'test_overrides', 'test_indexing', 'test_fake_tensor', 'test_jit_disabled', 'test_multiprocessing_spawn', 'test_prims', 'test_cpp_extensions_aot_ninja', 'test_cpp_extensions_aot_no_ninja', 'dynamo/test_global_declaration', 'dynamo/test_torchxla_integration', 'inductor/test_smoke', 'lazy/test_extract_compiled_graph', 'test_comparison_utils', 'test_cuda_nvml_based_avail', 'test_cuda_sanitizer', 'test_deploy', 'test_jiterator', 'test_pruning_op', 'test_decomp', 'test_quantization', 'test_proxy_tensor', 'inductor/test_torchinductor', 'test_jit_fuser_te', 'test_jit', 'test_dataloader', 'test_functional_autograd_benchmark', 'test_jit_llga_fuser', 'inductor/test_minifier', 'dynamo/test_dynamic_shapes', 'test_testing', 'test_sparse', 'test_transformers', 'test_xnnpack_integration', 'lazy/test_ts_opinfo', 'test_stateless', 'nn/test_embedding', 'test_mkl_verbose', 'dynamo/test_misc', 'test_mkldnn_verbose', 'test_import_stats', 'test_utils', 'test_openmp', 'test_package', 'lazy/test_step_closures', 'test_logging', 'test_expanded_weights', 'test_scatter_gather_ops', 'dynamo/test_export', 'dynamo/test_optimizers', 'dynamo/test_modules', 'test_shape_ops', 'test_dynamic_shapes', 'test_namedtensor', 'test_model_dump', 'dynamo/test_verify_correctness', 'test_monitor', 'test_fx_reinplace_pass', 'nn/test_packed_sequence', 'dynamo/test_global', 'test_python_dispatch', 'benchmark_utils/test_benchmark_utils', 'test_native_functions', 'nn/test_module_hooks', 'test_pytree', 'test_per_overload_api', 'test_set_default_mobile_cpu_allocator', 'test_itt', 'test_native_mha', 'test_numpy_interop', 'test_dlpack'] 2022-11-23T01:05:12.3350413Z 2022-11-23T01:05:12.3350879Z Downloading https://raw.githubusercontent.com/pytorch/test-infra/generated-stats/stats/slow-tests.json to /var/lib/jenkins/workspace/test/.pytorch-slow-tests.json 2022-11-23T01:05:12.3838528Z Downloading https://raw.githubusercontent.com/pytorch/test-infra/generated-stats/stats/disabled-tests-condensed.json to /var/lib/jenkins/workspace/test/.pytorch-disabled-tests.json 2022-11-23T01:05:12.4016562Z parallel (file granularity) tests: 2022-11-23T01:05:12.4017003Z dynamo/test_global_declaration 2022-11-23T01:05:12.4017447Z dynamo/test_torchxla_integration 2022-11-23T01:05:12.4017800Z inductor/test_smoke 2022-11-23T01:05:12.4018290Z lazy/test_extract_compiled_graph 2022-11-23T01:05:12.4018999Z test_comparison_utils 2022-11-23T01:05:12.4019464Z test_cuda_sanitizer 2022-11-23T01:05:12.4019775Z test_deploy 2022-11-23T01:05:12.4020017Z test_jiterator 2022-11-23T01:05:12.4020194Z test_pruning_op 2022-11-23T01:05:12.4020353Z test_decomp 2022-11-23T01:05:12.4020689Z test_quantization 2022-11-23T01:05:12.4021038Z test_proxy_tensor 2022-11-23T01:05:12.4021362Z inductor/test_torchinductor 2022-11-23T01:05:12.4021660Z test_jit_fuser_te 2022-11-23T01:05:12.4021912Z test_jit 2022-11-23T01:05:12.4022179Z test_dataloader 2022-11-23T01:05:12.4022556Z test_functional_autograd_benchmark 2022-11-23T01:05:12.4022906Z test_jit_llga_fuser 2022-11-23T01:05:12.4023193Z inductor/test_minifier 2022-11-23T01:05:12.4023511Z dynamo/test_dynamic_shapes 2022-11-23T01:05:12.4023817Z test_testing 2022-11-23T01:05:12.4024032Z test_sparse 2022-11-23T01:05:12.4024263Z test_transformers 2022-11-23T01:05:12.4024461Z test_xnnpack_integration 2022-11-23T01:05:12.4024638Z lazy/test_ts_opinfo 2022-11-23T01:05:12.4024857Z test_stateless 2022-11-23T01:05:12.4025083Z nn/test_embedding 2022-11-23T01:05:12.4025245Z test_mkl_verbose 2022-11-23T01:05:12.4025417Z dynamo/test_misc 2022-11-23T01:05:12.4025592Z test_mkldnn_verbose 2022-11-23T01:05:12.4025758Z test_import_stats 2022-11-23T01:05:12.4026095Z test_utils 2022-11-23T01:05:12.4026261Z test_openmp 2022-11-23T01:05:12.4026412Z test_package 2022-11-23T01:05:12.4026592Z lazy/test_step_closures 2022-11-23T01:05:12.4026856Z test_logging 2022-11-23T01:05:12.4027018Z test_expanded_weights 2022-11-23T01:05:12.4027214Z test_scatter_gather_ops 2022-11-23T01:05:12.4027404Z dynamo/test_export 2022-11-23T01:05:12.4027575Z dynamo/test_optimizers 2022-11-23T01:05:12.4027761Z dynamo/test_modules 2022-11-23T01:05:12.4027945Z test_shape_ops 2022-11-23T01:05:12.4028109Z test_dynamic_shapes 2022-11-23T01:05:12.4028288Z test_namedtensor 2022-11-23T01:05:12.4028530Z test_model_dump 2022-11-23T01:05:12.4028710Z dynamo/test_verify_correctness 2022-11-23T01:05:12.4028897Z test_monitor 2022-11-23T01:05:12.4029076Z test_fx_reinplace_pass 2022-11-23T01:05:12.4029287Z nn/test_packed_sequence 2022-11-23T01:05:12.4029459Z dynamo/test_global 2022-11-23T01:05:12.4029640Z test_python_dispatch 2022-11-23T01:05:12.4029850Z benchmark_utils/test_benchmark_utils 2022-11-23T01:05:12.4030042Z test_native_functions 2022-11-23T01:05:12.4030229Z nn/test_module_hooks 2022-11-23T01:05:12.4030406Z test_pytree 2022-11-23T01:05:12.4030569Z test_per_overload_api 2022-11-23T01:05:12.4030776Z test_set_default_mobile_cpu_allocator 2022-11-23T01:05:12.4030967Z test_itt 2022-11-23T01:05:12.4031118Z test_native_mha 2022-11-23T01:05:12.4031292Z test_numpy_interop 2022-11-23T01:05:12.4031464Z test_dlpack 2022-11-23T01:05:12.4031642Z serial (file granularity) tests: 2022-11-23T01:05:12.4031860Z inductor/test_torchinductor_opinfo 2022-11-23T01:05:12.4032060Z test_ops_gradients 2022-11-23T01:05:12.4032220Z test_modules 2022-11-23T01:05:12.4032391Z test_reductions 2022-11-23T01:05:12.4032557Z test_nn 2022-11-23T01:05:12.4032708Z test_tensorexpr 2022-11-23T01:05:12.4032891Z test_cpp_extensions_jit 2022-11-23T01:05:12.4033076Z nn/test_pooling 2022-11-23T01:05:12.4033229Z test_autograd 2022-11-23T01:05:12.4033394Z test_torch 2022-11-23T01:05:12.4033564Z test_cpp_api_parity 2022-11-23T01:05:12.4033731Z test_overrides 2022-11-23T01:05:12.4033899Z test_indexing 2022-11-23T01:05:12.4034070Z test_fake_tensor 2022-11-23T01:05:12.4034230Z test_jit_disabled 2022-11-23T01:05:12.4034420Z test_multiprocessing_spawn 2022-11-23T01:05:12.4034605Z test_prims 2022-11-23T01:05:12.4034773Z test_cpp_extensions_aot_ninja 2022-11-23T01:05:12.4034984Z test_cpp_extensions_aot_no_ninja 2022-11-23T01:05:12.4035186Z test_cuda_nvml_based_avail 2022-11-23T01:05:13.8757542Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:05:13.9350551Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:05:14.0139992Z Ignoring disabled issues: [] 2022-11-23T01:05:14.0294183Z Running dynamo/test_global_declaration ... [2022-11-23 01:05:14.029100] 2022-11-23T01:05:14.0295861Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_global_declaration.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:05:14.029355] 2022-11-23T01:05:14.0577446Z Ignoring disabled issues: [] 2022-11-23T01:05:14.0727813Z Running dynamo/test_torchxla_integration ... [2022-11-23 01:05:14.072525] 2022-11-23T01:05:14.0730086Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_torchxla_integration.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:05:14.072799] 2022-11-23T01:05:15.3451777Z 2022-11-23T01:05:15.3452370Z Expand the folded group to see the log file of dynamo/test_global_declaration 2022-11-23T01:05:15.3459043Z ##[group]PRINTING LOG FILE of dynamo/test_global_declaration (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_global_declaration_s0m73qc_) 2022-11-23T01:05:15.3459559Z 2022-11-23T01:05:15.3459962Z ##[endgroup] 2022-11-23T01:05:15.3460860Z FINISHED PRINTING LOG FILE of dynamo/test_global_declaration (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_global_declaration_s0m73qc_) 2022-11-23T01:05:15.3461319Z 2022-11-23T01:05:15.5898670Z 2022-11-23T01:05:15.5899739Z Expand the folded group to see the log file of dynamo/test_torchxla_integration 2022-11-23T01:05:15.5900530Z ##[group]PRINTING LOG FILE of dynamo/test_torchxla_integration (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_torchxla_integration_7iyoe3gh) 2022-11-23T01:05:15.5900786Z 2022-11-23T01:05:15.5900988Z ##[endgroup] 2022-11-23T01:05:15.5901528Z FINISHED PRINTING LOG FILE of dynamo/test_torchxla_integration (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_torchxla_integration_7iyoe3gh) 2022-11-23T01:05:15.5901779Z 2022-11-23T01:05:17.2210399Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:05:17.3601162Z Ignoring disabled issues: [] 2022-11-23T01:05:17.3752480Z Running inductor/test_smoke ... [2022-11-23 01:05:17.374930] 2022-11-23T01:05:17.3754661Z Executing ['/opt/conda/bin/python', '-bb', 'inductor/test_smoke.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:05:17.375227] 2022-11-23T01:05:17.5188498Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:05:17.6359496Z Ignoring disabled issues: [] 2022-11-23T01:05:17.6507770Z Running lazy/test_extract_compiled_graph ... [2022-11-23 01:05:17.650498] 2022-11-23T01:05:17.6509801Z Executing ['/opt/conda/bin/python', '-bb', 'lazy/test_extract_compiled_graph.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:05:17.650759] 2022-11-23T01:05:18.7961570Z 2022-11-23T01:05:18.7962117Z Expand the folded group to see the log file of inductor/test_smoke 2022-11-23T01:05:18.7963126Z ##[group]PRINTING LOG FILE of inductor/test_smoke (/var/lib/jenkins/workspace/test/test-reports/inductor-test_smoke_i1a43hsv) 2022-11-23T01:05:18.7963528Z 2022-11-23T01:05:18.7963877Z ##[endgroup] 2022-11-23T01:05:18.7964648Z FINISHED PRINTING LOG FILE of inductor/test_smoke (/var/lib/jenkins/workspace/test/test-reports/inductor-test_smoke_i1a43hsv) 2022-11-23T01:05:18.7965012Z 2022-11-23T01:05:19.0341953Z 2022-11-23T01:05:19.0342543Z Expand the folded group to see the log file of lazy/test_extract_compiled_graph 2022-11-23T01:05:19.0343388Z ##[group]PRINTING LOG FILE of lazy/test_extract_compiled_graph (/var/lib/jenkins/workspace/test/test-reports/lazy-test_extract_compiled_graph_uw3n64b5) 2022-11-23T01:05:19.0343653Z 2022-11-23T01:05:19.0343928Z ##[endgroup] 2022-11-23T01:05:19.0344522Z FINISHED PRINTING LOG FILE of lazy/test_extract_compiled_graph (/var/lib/jenkins/workspace/test/test-reports/lazy-test_extract_compiled_graph_uw3n64b5) 2022-11-23T01:05:19.0344796Z 2022-11-23T01:05:20.7351863Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:05:20.8738910Z Ignoring disabled issues: [] 2022-11-23T01:05:20.8889183Z Running test_comparison_utils ... [2022-11-23 01:05:20.888582] 2022-11-23T01:05:20.8890426Z Executing ['/opt/conda/bin/python', '-bb', 'test_comparison_utils.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:05:20.888840] 2022-11-23T01:05:20.9473231Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:05:21.0675553Z Ignoring disabled issues: [] 2022-11-23T01:05:21.0828831Z Running test_cuda_sanitizer ... [2022-11-23 01:05:21.082536] 2022-11-23T01:05:21.0830127Z Executing ['/opt/conda/bin/python', '-bb', 'test_cuda_sanitizer.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:05:21.082795] 2022-11-23T01:05:22.3636330Z 2022-11-23T01:05:22.3636906Z Expand the folded group to see the log file of test_comparison_utils 2022-11-23T01:05:22.3637937Z ##[group]PRINTING LOG FILE of test_comparison_utils (/var/lib/jenkins/workspace/test/test-reports/test_comparison_utils_5z9_bzan) 2022-11-23T01:05:22.3638187Z 2022-11-23T01:05:22.3638388Z ##[endgroup] 2022-11-23T01:05:22.3638885Z FINISHED PRINTING LOG FILE of test_comparison_utils (/var/lib/jenkins/workspace/test/test-reports/test_comparison_utils_5z9_bzan) 2022-11-23T01:05:22.3639114Z 2022-11-23T01:05:22.6303518Z 2022-11-23T01:05:22.6304873Z Expand the folded group to see the log file of test_cuda_sanitizer 2022-11-23T01:05:22.6305853Z ##[group]PRINTING LOG FILE of test_cuda_sanitizer (/var/lib/jenkins/workspace/test/test-reports/test_cuda_sanitizer_jl__81ts) 2022-11-23T01:05:22.6306222Z CUDA not available, skipping tests 2022-11-23T01:05:22.6306404Z 2022-11-23T01:05:22.6306465Z Running tests... 2022-11-23T01:05:22.6306990Z ---------------------------------------------------------------------- 2022-11-23T01:05:22.6307212Z 2022-11-23T01:05:22.6307414Z ---------------------------------------------------------------------- 2022-11-23T01:05:22.6307657Z Ran 0 tests in 0.000s 2022-11-23T01:05:22.6307796Z 2022-11-23T01:05:22.6307879Z OK 2022-11-23T01:05:22.6308067Z 2022-11-23T01:05:22.6308153Z Generating XML reports... 2022-11-23T01:05:22.6308510Z Test results will be stored in test-reports/python-unittest/test_cuda_sanitizer 2022-11-23T01:05:22.6308740Z 2022-11-23T01:05:22.6308970Z ##[endgroup] 2022-11-23T01:05:22.6309444Z FINISHED PRINTING LOG FILE of test_cuda_sanitizer (/var/lib/jenkins/workspace/test/test-reports/test_cuda_sanitizer_jl__81ts) 2022-11-23T01:05:22.6309674Z 2022-11-23T01:05:24.2460061Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:05:24.3843543Z Ignoring disabled issues: [] 2022-11-23T01:05:24.3995084Z Running test_deploy ... [2022-11-23 01:05:24.399141] 2022-11-23T01:05:24.3996123Z Executing ['/opt/conda/bin/python', '-bb', '-m', 'pytest', 'test_deploy.py', '-v'] ... [2022-11-23 01:05:24.399386] 2022-11-23T01:05:24.5370886Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:05:24.6545745Z Ignoring disabled issues: [] 2022-11-23T01:05:24.6694365Z Running test_jiterator ... [2022-11-23 01:05:24.669193] 2022-11-23T01:05:24.6696350Z Executing ['/opt/conda/bin/python', '-bb', 'test_jiterator.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:05:24.669432] 2022-11-23T01:05:27.0931982Z 2022-11-23T01:05:27.0932495Z Expand the folded group to see the log file of test_jiterator 2022-11-23T01:05:27.0933441Z ##[group]PRINTING LOG FILE of test_jiterator (/var/lib/jenkins/workspace/test/test-reports/test_jiterator_l5ezgto4) 2022-11-23T01:05:27.0933770Z CUDA not available, skipping tests 2022-11-23T01:05:27.0934453Z 2022-11-23T01:05:27.0937133Z Running tests... 2022-11-23T01:05:27.0937786Z ---------------------------------------------------------------------- 2022-11-23T01:05:27.0938076Z 2022-11-23T01:05:27.0938424Z ---------------------------------------------------------------------- 2022-11-23T01:05:27.0939023Z Ran 0 tests in 0.000s 2022-11-23T01:05:27.0939205Z 2022-11-23T01:05:27.0939305Z OK 2022-11-23T01:05:27.0939451Z 2022-11-23T01:05:27.0939576Z Generating XML reports... 2022-11-23T01:05:27.0940133Z Test results will be stored in test-reports/python-unittest/test_jiterator 2022-11-23T01:05:27.0940414Z 2022-11-23T01:05:27.0940824Z ##[endgroup] 2022-11-23T01:05:27.0941429Z FINISHED PRINTING LOG FILE of test_jiterator (/var/lib/jenkins/workspace/test/test-reports/test_jiterator_l5ezgto4) 2022-11-23T01:05:27.0941733Z 2022-11-23T01:05:27.1163030Z 2022-11-23T01:05:27.1163636Z Expand the folded group to see the log file of test_deploy 2022-11-23T01:05:27.1164479Z ##[group]PRINTING LOG FILE of test_deploy (/var/lib/jenkins/workspace/test/test-reports/test_deploy_f1od1hlx) 2022-11-23T01:05:27.1164964Z ============================= test session starts ============================== 2022-11-23T01:05:27.1165594Z platform linux -- Python 3.7.13, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python 2022-11-23T01:05:27.1165960Z cachedir: .pytest_cache 2022-11-23T01:05:27.1166589Z hypothesis profile 'default' -> database=DirectoryBasedExampleDatabase('/var/lib/jenkins/workspace/test/.hypothesis/examples') 2022-11-23T01:05:27.1167152Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini 2022-11-23T01:05:27.1167752Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2 2022-11-23T01:05:27.1168180Z collecting ... collected 1 item 2022-11-23T01:05:27.1168817Z Running 1 items in this shard: test/test_deploy.py::TestFreezer::test_compile_string 2022-11-23T01:05:27.1169076Z 2022-11-23T01:05:27.1169262Z test_deploy.py::TestFreezer::test_compile_string PASSED [100%] 2022-11-23T01:05:27.1169486Z 2022-11-23T01:05:27.1169654Z ============================== 1 passed in 1.50s =============================== 2022-11-23T01:05:27.1169843Z 2022-11-23T01:05:27.1170177Z ##[endgroup] 2022-11-23T01:05:27.1170721Z FINISHED PRINTING LOG FILE of test_deploy (/var/lib/jenkins/workspace/test/test-reports/test_deploy_f1od1hlx) 2022-11-23T01:05:27.1171011Z 2022-11-23T01:05:28.9387932Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:05:29.0032514Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:05:29.0785789Z Ignoring disabled issues: [] 2022-11-23T01:05:29.0937117Z Running test_pruning_op ... [2022-11-23 01:05:29.093365] 2022-11-23T01:05:29.0938898Z Executing ['/opt/conda/bin/python', '-bb', 'test_pruning_op.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:05:29.093622] 2022-11-23T01:05:29.1243118Z Ignoring disabled issues: [] 2022-11-23T01:05:29.1486260Z Running test_decomp ... [2022-11-23 01:05:29.148348] 2022-11-23T01:05:29.1488301Z Executing ['/opt/conda/bin/python', '-bb', 'test_decomp.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:05:29.148631] 2022-11-23T01:05:30.5480301Z 2022-11-23T01:05:30.5480838Z Expand the folded group to see the log file of test_pruning_op 2022-11-23T01:05:30.5481646Z ##[group]PRINTING LOG FILE of test_pruning_op (/var/lib/jenkins/workspace/test/test-reports/test_pruning_op_ij5_krb1) 2022-11-23T01:05:30.5481951Z 2022-11-23T01:05:30.5483445Z ##[endgroup] 2022-11-23T01:05:30.5484117Z FINISHED PRINTING LOG FILE of test_pruning_op (/var/lib/jenkins/workspace/test/test-reports/test_pruning_op_ij5_krb1) 2022-11-23T01:05:30.5484414Z 2022-11-23T01:05:32.4318890Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:05:32.5493641Z Ignoring disabled issues: [] 2022-11-23T01:05:32.5643994Z Running test_quantization ... [2022-11-23 01:05:32.564135] 2022-11-23T01:05:32.5646361Z Executing ['/opt/conda/bin/python', '-bb', 'test_quantization.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:05:32.564381] 2022-11-23T01:18:15.3901645Z 2022-11-23T01:18:15.3902153Z Expand the folded group to see the log file of test_quantization 2022-11-23T01:18:15.3903311Z ##[group]PRINTING LOG FILE of test_quantization (/var/lib/jenkins/workspace/test/test-reports/test_quantization_grtwvr6l) 2022-11-23T01:18:15.3908679Z Test results will be stored in test-reports/python-unittest/test_quantization 2022-11-23T01:18:15.3916994Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T01:18:15.3917819Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T01:18:15.3918106Z 2022-11-23T01:18:15.3918258Z Running tests... 2022-11-23T01:18:15.3918756Z ---------------------------------------------------------------------- 2022-11-23T01:18:15.3919362Z test_modules_import_nn_intrinsic (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.010s) 2022-11-23T01:18:15.3920039Z test_modules_import_nn_intrinsic_qat (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.001s) 2022-11-23T01:18:15.3920753Z test_modules_import_nn_intrinsic_quantized (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.001s) 2022-11-23T01:18:15.3921511Z test_modules_intrinsic_qat_conv_fused (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.001s) 2022-11-23T01:18:15.3924784Z test_modules_intrinsic_qat_linear_fused (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.001s) 2022-11-23T01:18:15.3925744Z test_modules_intrinsic_qat_linear_relu (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.001s) 2022-11-23T01:18:15.3926481Z test_modules_intrinsic_quantized_bn_relu (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.001s) 2022-11-23T01:18:15.3927226Z test_modules_intrinsic_quantized_conv_relu (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.001s) 2022-11-23T01:18:15.3928044Z test_modules_intrinsic_quantized_linear_relu (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.001s) 2022-11-23T01:18:15.3928757Z test_modules_nn_intrinsic_fused (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.001s) 2022-11-23T01:18:15.3935095Z test_package_import_nn_intrinsic (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) ... ok (0.001s) 2022-11-23T01:18:15.3935932Z test_package_import_nn_intrinsic_modules (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) 2022-11-23T01:18:15.3936368Z Tests the migration of the torch.nn.intrinsic.modules ... ok (0.001s) 2022-11-23T01:18:15.3936936Z test_package_import_nn_intrinsic_qat (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) 2022-11-23T01:18:15.3937537Z Tests the migration of the torch.nn.intrinsic.modules ... ok (0.001s) 2022-11-23T01:18:15.3937985Z test_package_import_nn_intrinsic_quantized (quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic) 2022-11-23T01:18:15.3938696Z Tests the migration of the torch.nn.intrinsic.quantized ... ok (0.001s) 2022-11-23T01:18:15.3939307Z test_functional_import (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) 2022-11-23T01:18:15.3940236Z Tests the migration of the torch.nn.quantized.functional ... ok (0.001s) 2022-11-23T01:18:15.3940903Z test_import_nn_qat_conv (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:18:15.3941718Z test_import_nn_qat_dynamic_linear (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:18:15.3942668Z test_import_nn_qat_embedding_ops (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:18:15.3943602Z test_import_nn_qat_linear (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:18:15.3944575Z test_import_nn_quantizable_activation (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:18:15.3945545Z test_import_nn_quantizable_rnn (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:18:15.3946524Z test_import_nn_quantized_dynamic_import (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:18:15.3947547Z test_modules_activation (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:18:15.3948467Z test_modules_batchnorm (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:18:15.3949391Z test_modules_conv (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:18:15.3950312Z test_modules_dropout (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:18:15.3951252Z test_modules_embedding_ops (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:18:15.3952191Z test_modules_functional_modules (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:18:15.3953132Z test_modules_import (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:18:15.3954043Z test_modules_linear (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:18:15.3955163Z test_modules_normalization (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:18:15.3956085Z test_modules_utils (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:18:15.3957004Z test_package_import_nn_qat (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:18:15.3957945Z test_package_import_nn_qat_dynamic (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) 2022-11-23T01:18:15.3958687Z Tests the migration of the torch.nn.qat.modules ... ok (0.001s) 2022-11-23T01:18:15.3959449Z test_package_import_nn_qat_modules (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) 2022-11-23T01:18:15.3960303Z Tests the migration of the torch.nn.qat.modules ... ok (0.001s) 2022-11-23T01:18:15.3961113Z test_package_import_nn_quantizable (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:18:15.3962082Z test_package_import_nn_quantizable_modules (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) 2022-11-23T01:18:15.3962897Z Tests the migration of the torch.nn.quantizable.modules ... ok (0.001s) 2022-11-23T01:18:15.3963732Z test_package_import_nn_quantized (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:18:15.3964727Z test_package_import_nn_quantized_dynamic (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) ... ok (0.001s) 2022-11-23T01:18:15.3965711Z test_package_import_nn_quantized_dynamic_modules (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) 2022-11-23T01:18:15.3966535Z Tests the migration of the torch.nn.quantized.modules ... ok (0.001s) 2022-11-23T01:18:15.3967351Z test_package_import_nn_quantized_modules (quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized) 2022-11-23T01:18:15.3980075Z Tests the migration of the torch.nn.quantized.modules ... ok (0.001s) 2022-11-23T01:18:15.3980711Z test_function_import_fake_quantize (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:18:15.3981510Z test_function_import_fuse_modules (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:18:15.3982425Z test_function_import_fuser_method_mappings (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:18:15.3983292Z test_function_import_observer (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:18:15.3984103Z test_function_import_qconfig (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:18:15.3984953Z test_function_import_quant_type (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:18:15.3985537Z test_function_import_quantization_mappings (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:18:15.3986004Z test_function_import_quantize (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:18:15.3986452Z test_function_import_quantize_jit (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:18:15.3986903Z test_function_import_stubs (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:18:15.3987435Z test_function_import_utils (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:18:15.3987892Z test_package_import_fake_quantize (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:18:15.3988344Z test_package_import_fuse_modules (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:18:15.3988913Z test_package_import_fuser_method_mappings (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:18:15.3989383Z test_package_import_observer (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:18:15.3989838Z test_package_import_qconfig (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:18:15.3990284Z test_package_import_quant_type (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:18:15.3990754Z test_package_import_quantization_mappings (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:18:15.3991277Z test_package_import_quantize (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:18:15.3991737Z test_package_import_quantize_jit (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:18:15.3992183Z test_package_import_stubs (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:18:15.3992629Z test_package_import_utils (quantization.ao_migration.test_quantization.TestAOMigrationQuantization) ... ok (0.001s) 2022-11-23T01:18:15.3993064Z test_function_import_fx (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:18:15.3993505Z test_function_import_fx_convert (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:18:15.3993947Z test_function_import_fx_equalize (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:18:15.3994390Z test_function_import_fx_fuse (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:18:15.3994846Z test_function_import_fx_fusion_patterns (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:18:15.3995303Z test_function_import_fx_graph_module (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:18:15.3995741Z test_function_import_fx_match_utils (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:18:15.3996193Z test_function_import_fx_pattern_utils (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:18:15.3996754Z test_function_import_fx_prepare (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:18:15.3997221Z test_function_import_fx_quantization_patterns (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:18:15.3997776Z test_function_import_fx_utils (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:18:15.3998484Z test_function_import_quantize_fx (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:18:15.3999299Z test_package_import_fx (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:18:15.4000118Z test_package_import_fx_convert (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:18:15.4000921Z test_package_import_fx_equalize (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:18:15.4001501Z test_package_import_fx_fuse (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:18:15.4002047Z test_package_import_fx_fusion_patterns (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:18:15.4002972Z test_package_import_fx_graph_module (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:18:15.4003755Z test_package_import_fx_match_utils (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:18:15.4004529Z test_package_import_fx_pattern_utils (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:18:15.4005264Z test_package_import_fx_prepare (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:18:15.4006009Z test_package_import_fx_quantization_patterns (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:18:15.4006919Z test_package_import_fx_utils (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:18:15.4007736Z test_package_import_quantize_fx (quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx) ... ok (0.001s) 2022-11-23T01:18:15.4008466Z test_backend_config_from_dict (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.004s) 2022-11-23T01:18:15.4009208Z test_backend_config_set_backend_pattern_config (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s) 2022-11-23T01:18:15.4009950Z test_backend_config_set_name (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s) 2022-11-23T01:18:15.4010662Z test_backend_config_to_dict (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.002s) 2022-11-23T01:18:15.4011385Z test_backend_op_config_add_dtype_config (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s) 2022-11-23T01:18:15.4012127Z test_backend_op_config_from_dict (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.003s) 2022-11-23T01:18:15.4012830Z test_backend_op_config_set_extra_inputs_getter (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s) 2022-11-23T01:18:15.4013493Z test_backend_op_config_set_fused_module (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s) 2022-11-23T01:18:15.4014226Z test_backend_op_config_set_fuser_method (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s) 2022-11-23T01:18:15.4014980Z test_backend_op_config_set_input_output_observed (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s) 2022-11-23T01:18:15.4015752Z test_backend_op_config_set_input_type_to_index (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s) 2022-11-23T01:18:15.4016534Z test_backend_op_config_set_num_tensor_args_to_observation_type (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s) 2022-11-23T01:18:15.4017329Z test_backend_op_config_set_observation_type (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s) 2022-11-23T01:18:15.4018063Z test_backend_op_config_set_qat_module (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s) 2022-11-23T01:18:15.4018845Z test_backend_op_config_set_reference_quantized_module (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s) 2022-11-23T01:18:15.4019508Z test_backend_op_config_set_root_module (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s) 2022-11-23T01:18:15.4020171Z test_backend_op_config_set_root_node_getter (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s) 2022-11-23T01:18:15.4020840Z test_backend_op_config_to_dict (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.002s) 2022-11-23T01:18:15.4021469Z test_dtype_config_from_dict (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s) 2022-11-23T01:18:15.4022078Z test_dtype_config_to_dict (quantization.core.test_backend_config.TestBackendConfig) ... ok (0.001s) 2022-11-23T01:18:15.4022710Z test_conv_chain (quantization.eager.test_bias_correction_eager.TestBiasCorrectionEager) ... ok (0.680s) 2022-11-23T01:18:15.4023545Z test_linear_chain (quantization.eager.test_bias_correction_eager.TestBiasCorrectionEager) ... ok (0.181s) 2022-11-23T01:18:15.4024216Z test_compare_tensor_scalar (quantization.core.test_quantized_op.TestComparatorOps) ... ok (0.591s) 2022-11-23T01:18:15.4024847Z test_compare_tensor_tensor (quantization.core.test_quantized_op.TestComparatorOps) ... ok (0.317s) 2022-11-23T01:18:15.4025538Z test_erase_class_tensor_shapes (quantization.jit.test_deprecated_jit_quant.TestDeprecatedJitQuantized) ... ok (0.012s) 2022-11-23T01:18:15.4026274Z test_quantization_modules (quantization.jit.test_deprecated_jit_quant.TestDeprecatedJitQuantized) ... ok (0.098s) 2022-11-23T01:18:15.4027895Z test_rnn_cell_quantized (quantization.jit.test_deprecated_jit_quant.TestDeprecatedJitQuantized) ... /opt/conda/lib/python3.7/site-packages/torch/jit/quantized.py:510: UserWarning: quantize_rnn_cell_modules function has been deprecated. Please use torch.ao.quantization.quantize_dynamic API instead. 2022-11-23T01:18:15.4028954Z warnings.warn("quantize_rnn_cell_modules function has been deprecated. " 2022-11-23T01:18:15.4030083Z /opt/conda/lib/python3.7/site-packages/torch/jit/quantized.py:101: UserWarning: torch.jit.QuantizedRNNCellBase is deprecated and will be removed in an upcoming PyTorch release. Please use the torch.ao.nn.quantized.dynamic.RNNCell instead. 2022-11-23T01:18:15.4030936Z "torch.jit.QuantizedRNNCellBase is deprecated and will be removed in an upcoming " 2022-11-23T01:18:15.4032188Z /opt/conda/lib/python3.7/site-packages/torch/jit/quantized.py:214: UserWarning: torch.jit.QuantizedLSTMCell is deprecated and will be removed in an upcoming PyTorch release. Please use the torch.ao.nn.quantized.dynamic.LSTMCell instead. 2022-11-23T01:18:15.4033197Z "torch.jit.QuantizedLSTMCell is deprecated and will be removed in an upcoming " 2022-11-23T01:18:15.4034486Z /opt/conda/lib/python3.7/site-packages/torch/jit/quantized.py:237: UserWarning: torch.jit.QuantizedGRUCell is deprecated and will be removed in an upcoming PyTorch release. Please use the torch.ao.nn.quantized.dynamic.GRUCell instead. 2022-11-23T01:18:15.4035520Z "torch.jit.QuantizedGRUCell is deprecated and will be removed in an upcoming " 2022-11-23T01:18:15.4036948Z /opt/conda/lib/python3.7/site-packages/torch/jit/quantized.py:179: UserWarning: torch.jit.QuantizedRNNCell is deprecated and will be removed in an upcoming PyTorch release. Please use the torch.ao.nn.quantized.dynamic.RNNCell instead. 2022-11-23T01:18:15.4037915Z "torch.jit.QuantizedRNNCell is deprecated and will be removed in an upcoming " 2022-11-23T01:18:15.4038390Z ok (0.119s) 2022-11-23T01:18:15.4039182Z test_rnn_quantized (quantization.jit.test_deprecated_jit_quant.TestDeprecatedJitQuantized) ... /opt/conda/lib/python3.7/site-packages/torch/jit/quantized.py:556: UserWarning: quantize_rnn_modules function has been deprecated. Please use torch.ao.quantization.quantize_dynamic API instead. 2022-11-23T01:18:15.4039836Z warnings.warn("quantize_rnn_modules function has been deprecated. " 2022-11-23T01:18:15.4040531Z /opt/conda/lib/python3.7/site-packages/torch/jit/quantized.py:265: UserWarning: torch.jit.QuantizedRNNBase is deprecated and will be removed in an upcoming PyTorch release. Please use the torch.ao.nn.quantized.dynamic instead. 2022-11-23T01:18:15.4041041Z "torch.jit.QuantizedRNNBase is deprecated and will be removed in an upcoming " 2022-11-23T01:18:15.4041762Z /opt/conda/lib/python3.7/site-packages/torch/jit/quantized.py:370: UserWarning: torch.jit.QuantizedLSTM is deprecated and will be removed in an upcoming PyTorch release. Please use the torch.ao.nn.quantized.dynamic.LSTM instead. 2022-11-23T01:18:15.4042319Z "torch.jit.QuantizedLSTM is deprecated and will be removed in an upcoming " 2022-11-23T01:18:15.4043042Z /opt/conda/lib/python3.7/site-packages/torch/jit/quantized.py:450: UserWarning: torch.jit.QuantizedGRU is deprecated and will be removed in an upcoming PyTorch release. Please use the torch.ao.nn.quantized.dynamic.GRU instead. 2022-11-23T01:18:15.4043648Z "torch.jit.QuantizedGRU is deprecated and will be removed in an upcoming " 2022-11-23T01:18:15.4043906Z ok (0.082s) 2022-11-23T01:18:15.4044365Z test_device_affinity (quantization.core.test_workflow_module.TestDistributed) ... skip: multi-GPU not supported (0.000s) 2022-11-23T01:18:15.4044851Z test_fake_quant_preserves_buffers (quantization.core.test_workflow_module.TestDistributed) 2022-11-23T01:18:15.4045226Z Tests that fake quant only modifies buffers in place. Note: this is important ... ok (0.004s) 2022-11-23T01:18:15.4045649Z test_observers_preserve_buffers (quantization.core.test_workflow_module.TestDistributed) 2022-11-23T01:18:15.4046084Z Tests that observers only modify buffers in place. Note: this is important ... ok (0.011s) 2022-11-23T01:18:15.4046498Z test_qat_convbn_fused_syncbn_replacement (quantization.core.test_workflow_module.TestDistributed) 2022-11-23T01:18:15.4047315Z Tests that SyncBatchNorm replacement works for fused ConvBN. ... /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:216: UserWarning: Please use quant_min and quant_max to specify the range for observers. reduce_range will be deprecated in a future release of PyTorch. 2022-11-23T01:18:15.4047874Z reduce_range will be deprecated in a future release of PyTorch." 2022-11-23T01:18:15.4048154Z ok (0.006s) 2022-11-23T01:18:15.4048473Z test_qat_data_parallel (quantization.core.test_workflow_module.TestDistributed) 2022-11-23T01:18:15.4048928Z Tests that doing QAT in nn.DataParallel does not crash. ... skip: multi-GPU not supported (0.002s) 2022-11-23T01:18:15.4049485Z test_syncbn_preserves_qconfig (quantization.core.test_workflow_module.TestDistributed) 2022-11-23T01:18:15.4049888Z Makes sure that if a BatchNorm is not fused and a qconfig exists, ... ok (0.001s) 2022-11-23T01:18:15.4050431Z test_cell_api (quantization.core.test_quantized_module.TestDynamicQuantizedModule) ... [W qlinear_dynamic.cpp:247] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function operator()) 2022-11-23T01:18:15.4051350Z /opt/conda/lib/python3.7/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:18:15.4051872Z warnings.warn(message, UserWarning) 2022-11-23T01:18:15.4093233Z ok (0.530s) 2022-11-23T01:18:15.4094158Z test_dynamic_conv1d (quantization.core.test_quantized_module.TestDynamicQuantizedModule) ... [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4094857Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4095333Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4095804Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4096269Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4096724Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4097174Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4097740Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4098193Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4098640Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4099220Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4099737Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4100194Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4100641Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4101087Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4101545Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4102289Z /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py:60: UserWarning: The current implementation of the DynamicQuantizedConv1d module has poor numerical accuracy and its use is not recommended 2022-11-23T01:18:15.4102666Z self._get_name() 2022-11-23T01:18:15.4103341Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:470: UserWarning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/quantized/cpu/qconv_dynamic.cpp:82.) 2022-11-23T01:18:15.4103809Z return callable(*args, **kwargs) 2022-11-23T01:18:15.4103978Z ok (0.866s) 2022-11-23T01:18:15.4104416Z test_dynamic_conv2d (quantization.core.test_quantized_module.TestDynamicQuantizedModule) ... [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4105001Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4105461Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4105920Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4106373Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4106828Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4107347Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4107852Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4108308Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4108769Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4109213Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4109718Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4110184Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4110652Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4111118Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4111569Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4112261Z /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py:125: UserWarning: The current implementation of the DynamicQuantizedConv2d module has poor numerical accuracy and its use is not recommended 2022-11-23T01:18:15.4112652Z self._get_name() 2022-11-23T01:18:15.4112821Z ok (0.703s) 2022-11-23T01:18:15.4113536Z test_dynamic_conv3d (quantization.core.test_quantized_module.TestDynamicQuantizedModule) ... /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py:190: UserWarning: The current implementation of the DynamicQuantizedConv3d module has poor numerical accuracy and its use is not recommended 2022-11-23T01:18:15.4114038Z self._get_name() 2022-11-23T01:18:15.4114205Z ok (0.279s) 2022-11-23T01:18:15.4115183Z test_dynamic_convtranspose1d (quantization.core.test_quantized_module.TestDynamicQuantizedModule) ... [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4115769Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4116240Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4116706Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4117170Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4117637Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4118096Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4118596Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4119055Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4119515Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4119968Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4120453Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4120926Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4121397Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4121867Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4122315Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4123034Z /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py:260: UserWarning: The current implementation of the DynamicQuantizedConvTranpose1d module has poor numerical accuracy and its use is not recommended 2022-11-23T01:18:15.4123442Z self._get_name() 2022-11-23T01:18:15.4123609Z ok (0.791s) 2022-11-23T01:18:15.4124055Z test_dynamic_convtranspose2d (quantization.core.test_quantized_module.TestDynamicQuantizedModule) ... [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4124647Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4125120Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4125595Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4126065Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4126510Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4126965Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4127422Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4127882Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4128356Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4128820Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4129290Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4129757Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4130250Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4130696Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4131158Z [W qconv_dynamic.cpp:82] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function apply_dynamic) 2022-11-23T01:18:15.4131867Z /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py:321: UserWarning: The current implementation of the DynamicQuantizedConvTranpose2d module has poor numerical accuracy and its use is not recommended 2022-11-23T01:18:15.4132269Z self._get_name() 2022-11-23T01:18:15.4132422Z ok (0.760s) 2022-11-23T01:18:15.4133169Z test_dynamic_convtranspose3d (quantization.core.test_quantized_module.TestDynamicQuantizedModule) ... /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py:382: UserWarning: The current implementation of the DynamicQuantizedConvTranpose3d module has poor numerical accuracy and its use is not recommended 2022-11-23T01:18:15.4133683Z self._get_name() 2022-11-23T01:18:15.4133841Z ok (0.269s) 2022-11-23T01:18:15.4134114Z test_gru_api (quantization.core.test_quantized_module.TestDynamicQuantizedModule) ... ok (0.195s) 2022-11-23T01:18:15.4134523Z test_linear_api (quantization.core.test_quantized_module.TestDynamicQuantizedModule) ... ok (14.987s) 2022-11-23T01:18:15.4134927Z test_lstm_api (quantization.core.test_quantized_module.TestDynamicQuantizedModule) ... ok (3.016s) 2022-11-23T01:18:15.4135304Z test_dynamic_conv1d (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (0.031s) 2022-11-23T01:18:15.4135694Z test_dynamic_conv2d (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (0.033s) 2022-11-23T01:18:15.4136075Z test_dynamic_conv3d (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (0.023s) 2022-11-23T01:18:15.4136470Z test_dynamic_convtranspose1d (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (0.032s) 2022-11-23T01:18:15.4136896Z test_dynamic_convtranspose2d (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (0.029s) 2022-11-23T01:18:15.4137295Z test_dynamic_convtranspose3d (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (0.005s) 2022-11-23T01:18:15.4137794Z test_linear_prepack_fp16_numerics (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:18:15.4138256Z [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:18:15.4138595Z [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:18:15.4139098Z [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:18:15.4139429Z [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:18:15.4139834Z [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:18:15.4140161Z [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:18:15.4140503Z [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:18:15.4140839Z [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:18:15.4141158Z [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:18:15.4141486Z [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:18:15.4141867Z [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:18:15.4142199Z [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:18:15.4142523Z [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:18:15.4142869Z [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:18:15.4143207Z [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:18:15.4143526Z [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:18:15.4143856Z [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:18:15.4144198Z [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:18:15.4144436Z ok (0.049s) 2022-11-23T01:18:15.4144692Z test_qlinear (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (1.410s) 2022-11-23T01:18:15.4145068Z test_qlinear_dynamic_fp16 (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (0.025s) 2022-11-23T01:18:15.4145449Z test_qlinear_legacy (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (0.221s) 2022-11-23T01:18:15.4145994Z test_qlstmGRU (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (4.665s) 2022-11-23T01:18:15.4146549Z test_qrnncell (quantization.core.test_quantized_op.TestDynamicQuantizedOps) ... ok (6.348s) 2022-11-23T01:18:15.4147101Z test_converged (quantization.eager.test_equalize_eager.TestEqualizeEager) 2022-11-23T01:18:15.4147668Z Sanity checks on _equalize.converged working ... ok (0.003s) 2022-11-23T01:18:15.4148101Z test_cross_layer_equalization (quantization.eager.test_equalize_eager.TestEqualizeEager) 2022-11-23T01:18:15.4148595Z applies _equalize.cross_layer_equalization on two modules and checks ... ok (0.004s) 2022-11-23T01:18:15.4149080Z test_equalize (quantization.eager.test_equalize_eager.TestEqualizeEager) 2022-11-23T01:18:15.4149578Z First checks to see if _equalize.equalize can handle multiple ... ok (0.018s) 2022-11-23T01:18:15.4150050Z test_equalize_fused_convrelu (quantization.eager.test_equalize_eager.TestEqualizeEager) 2022-11-23T01:18:15.4150534Z Checks to see if eager mode equalization supports fused ... ok (0.035s) 2022-11-23T01:18:15.4151085Z test_equalize_fused_linearrelu (quantization.eager.test_equalize_eager.TestEqualizeEager) 2022-11-23T01:18:15.4151581Z Checks to see if eager mode equalization supports fused ... ok (0.024s) 2022-11-23T01:18:15.4152137Z test_input_weight_eq_observer (quantization.fx.test_equalize_fx.TestEqualizeFx) ... ok (0.227s) 2022-11-23T01:18:15.4152756Z test_input_weight_equalization_activation_values (quantization.fx.test_equalize_fx.TestEqualizeFx) 2022-11-23T01:18:15.4154123Z After applying the equalization functions check if the input ... /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fx/prepare.py:1483: UserWarning: Passing a QConfig dictionary to prepare is deprecated and will not be supported in a future version. Please pass in a QConfigMapping instead. 2022-11-23T01:18:15.4154986Z "Passing a QConfig dictionary to prepare is deprecated and will not be supported " 2022-11-23T01:18:15.4156335Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fx/prepare.py:1489: UserWarning: Passing a QConfig dictionary to prepare for equalization is deprecated and will not be supported in a future version. Please pass in a QConfigMapping instead. 2022-11-23T01:18:15.4157211Z "Passing a QConfig dictionary to prepare for equalization is deprecated and will not " 2022-11-23T01:18:15.4157631Z ok (0.059s) 2022-11-23T01:18:15.4158008Z test_input_weight_equalization_branching (quantization.fx.test_equalize_fx.TestEqualizeFx) 2022-11-23T01:18:15.4159071Z Tests that graphs containing branches are prepared correctly. ... /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fx/prepare.py:757: UserWarning: Cannot equalize linear1 because it is part of a branch. 2022-11-23T01:18:15.4159882Z f"Cannot equalize {node} because it is part of a branch." 2022-11-23T01:18:15.4160688Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fx/prepare.py:757: UserWarning: Cannot equalize linear2 because it is part of a branch. 2022-11-23T01:18:15.4161335Z f"Cannot equalize {node} because it is part of a branch." 2022-11-23T01:18:15.4161723Z ok (0.024s) 2022-11-23T01:18:15.4162209Z test_input_weight_equalization_convert (quantization.fx.test_equalize_fx.TestEqualizeFx) 2022-11-23T01:18:15.4163770Z Tests that the modified model for equalization (before quantization) ... /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py:1346: UserWarning: Node linear1_packed_weight_0 target linear1_packed_weight_0 linear1_packed_weight_0 of does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target 2022-11-23T01:18:15.4164915Z warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does ' 2022-11-23T01:18:15.4166203Z /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py:1346: UserWarning: Node linear2_packed_weight_0 target linear2_packed_weight_0 linear2_packed_weight_0 of does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target 2022-11-23T01:18:15.4167231Z warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does ' 2022-11-23T01:18:15.4168510Z /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py:1346: UserWarning: Node linear_packed_weight_0 target linear_packed_weight_0 linear_packed_weight_0 of does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target 2022-11-23T01:18:15.4169536Z warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does ' 2022-11-23T01:18:15.4170750Z /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py:1346: UserWarning: Node conv1_packed_weight_0 target conv1_packed_weight_0 conv1_packed_weight_0 of does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target 2022-11-23T01:18:15.4171752Z warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does ' 2022-11-23T01:18:15.4173003Z /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py:1346: UserWarning: Node conv2_packed_weight_0 target conv2_packed_weight_0 conv2_packed_weight_0 of does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target 2022-11-23T01:18:15.4173995Z warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does ' 2022-11-23T01:18:15.4175231Z /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py:1346: UserWarning: Node conv_packed_weight_0 target conv_packed_weight_0 conv_packed_weight_0 of does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target 2022-11-23T01:18:15.4176185Z warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does ' 2022-11-23T01:18:15.4176583Z ok (3.013s) 2022-11-23T01:18:15.4177072Z test_input_weight_equalization_equalization_scales (quantization.fx.test_equalize_fx.TestEqualizeFx) 2022-11-23T01:18:15.4177702Z After applying the equalization functions, check if the equalization ... ok (0.073s) 2022-11-23T01:18:15.4178392Z test_input_weight_equalization_graphs (quantization.fx.test_equalize_fx.TestEqualizeFx) 2022-11-23T01:18:15.4179791Z Tests that the modified model for equalization has the same graph ... /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/utils.py:304: UserWarning: must run observer before calling calculate_qparams. Returning default values. 2022-11-23T01:18:15.4180607Z "must run observer before calling calculate_qparams. " + 2022-11-23T01:18:15.4181698Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fx/_equalize.py:191: UserWarning: Must run observer before calling calculate_equalization_scale. Returning default equalization scale torch.tensor(1). 2022-11-23T01:18:15.4182583Z "Must run observer before calling calculate_equalization_scale. " + 2022-11-23T01:18:15.4183704Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fx/_equalize.py:103: UserWarning: Must call calculate_equalization_scale before calling calculate_scaled_minmax. Will not scale the next quantization observer. 2022-11-23T01:18:15.4184563Z "Must call calculate_equalization_scale before calling calculate_scaled_minmax. " + 2022-11-23T01:18:15.4185547Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/utils.py:312: UserWarning: must run observer before calling calculate_qparams. Returning default values. 2022-11-23T01:18:15.4186235Z "must run observer before calling calculate_qparams. " + 2022-11-23T01:18:15.4186604Z ok (0.442s) 2022-11-23T01:18:15.4187086Z test_input_weight_equalization_prepare (quantization.fx.test_equalize_fx.TestEqualizeFx) 2022-11-23T01:18:15.4187761Z Tests that graphs created after prepare_fx is as expected ... ok (0.196s) 2022-11-23T01:18:15.4188353Z test_input_weight_equalization_results (quantization.fx.test_equalize_fx.TestEqualizeFx) 2022-11-23T01:18:15.4188961Z Tests that for small models, the results of quantized models that ... ok (0.328s) 2022-11-23T01:18:15.4189586Z test_input_weight_equalization_weights_bias (quantization.fx.test_equalize_fx.TestEqualizeFx) 2022-11-23T01:18:15.4190205Z After applying the equalization functions check if the weights and ... ok (0.073s) 2022-11-23T01:18:15.4190808Z test_selective_equalization (quantization.fx.test_equalize_fx.TestEqualizeFx) 2022-11-23T01:18:15.4191375Z Tests that we are able to run numeric suite on the equalized model ... ok (0.141s) 2022-11-23T01:18:15.4191997Z test_dict_return_type (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... ok (0.089s) 2022-11-23T01:18:15.4192706Z test_matching_failure_node_count (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... ok (0.053s) 2022-11-23T01:18:15.4193411Z test_matching_failure_node_type (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... ok (0.132s) 2022-11-23T01:18:15.4194058Z test_methods (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) 2022-11-23T01:18:15.4194593Z Verify that graph matching works on methods ... ok (0.055s) 2022-11-23T01:18:15.4195173Z test_nodes_before_cat (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... ok (0.085s) 2022-11-23T01:18:15.4196651Z test_nodes_with_equal_types_get_matched (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:1206: UserWarning: must run observer before calling calculate_qparams. Returning default scale and zero point 2022-11-23T01:18:15.4197559Z Returning default scale and zero point " 2022-11-23T01:18:15.4197908Z ok (0.130s) 2022-11-23T01:18:15.4198378Z test_op_relationship_mapping (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) 2022-11-23T01:18:15.4198985Z Tests that the mapping of op relationships is complete. ... ok (0.009s) 2022-11-23T01:18:15.4199586Z test_results_order (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... ok (0.166s) 2022-11-23T01:18:15.4201160Z test_simple_fun (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py:1346: UserWarning: Node _packed_weight_0 target _packed_weight_0 _packed_weight_0 of does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target 2022-11-23T01:18:15.4202298Z warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does ' 2022-11-23T01:18:15.4202710Z ok (0.089s) 2022-11-23T01:18:15.4203169Z test_simple_fusion (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... ok (0.089s) 2022-11-23T01:18:15.4203828Z test_simple_mod (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... ok (0.065s) 2022-11-23T01:18:15.4204542Z test_simple_mod_multi (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... ok (0.169s) 2022-11-23T01:18:15.4205099Z test_simple_tensor_ops (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) ... ok (0.091s) 2022-11-23T01:18:15.4205648Z test_user_defined_function (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher) 2022-11-23T01:18:15.4206093Z Verify that graph matching works on user defined functions ... ok (0.050s) 2022-11-23T01:18:15.4207284Z test_mobilenet_v2 (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcherModels) ... /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/_utils.py:209: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead. 2022-11-23T01:18:15.4208345Z f"The parameter '{pretrained_param}' is deprecated since 0.13 and may be removed in the future, " 2022-11-23T01:18:15.4209485Z /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=None`. 2022-11-23T01:18:15.4210163Z warnings.warn(msg) 2022-11-23T01:18:15.4210418Z ok (3.442s) 2022-11-23T01:18:15.4210894Z test_mobilenet_v2_qat (quantization.fx.test_numeric_suite_fx.TestFXGraphMatcherModels) ... ok (4.352s) 2022-11-23T01:18:15.4211505Z test_add_loggers_cuda (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... skip: CUDA unavailable (0.001s) 2022-11-23T01:18:15.4212677Z test_add_mul_inputs_activations (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... /opt/conda/lib/python3.7/site-packages/torch/jit/_check.py:181: UserWarning: The TorchScript type system doesn't support instance-level annotations on empty non-base types in `__init__`. Instead, either 1) use a type annotation in the class body, or 2) wrap the type in `torch.jit.Attribute`. 2022-11-23T01:18:15.4213350Z warnings.warn("The TorchScript type system doesn't support " 2022-11-23T01:18:15.4213572Z ok (3.332s) 2022-11-23T01:18:15.4213881Z test_add_shadow_loggers_cuda (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... skip: CUDA unavailable (0.001s) 2022-11-23T01:18:15.4214778Z test_add_shadow_loggers_fun_ptq (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py:1346: UserWarning: Node _packed_weight_1 target _packed_weight_1 _packed_weight_1 of does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target 2022-11-23T01:18:15.4215428Z warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does ' 2022-11-23T01:18:15.4215668Z ok (0.685s) 2022-11-23T01:18:15.4215955Z test_add_shadow_loggers_fun_qat (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.462s) 2022-11-23T01:18:15.4216367Z test_add_shadow_loggers_meth_ptq (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) 2022-11-23T01:18:15.4216774Z Verify that add_loggers works on methods ... skipping shadow loggers for node_b: str, start_node_a: str, unknown dtype cast 2022-11-23T01:18:15.4217221Z skipping shadow loggers for node_b: torch.ao.quantization.observer.FixedQParamsObserver, start_node_a: str, unknown dtype cast 2022-11-23T01:18:15.4217694Z skipping shadow loggers for node_b: str, start_node_a: str, unknown dtype cast 2022-11-23T01:18:15.4217927Z ok (0.127s) 2022-11-23T01:18:15.4218229Z test_add_shadow_loggers_mod_ptq (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (1.040s) 2022-11-23T01:18:15.4218641Z test_add_shadow_loggers_mod_qat (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.479s) 2022-11-23T01:18:15.4219250Z test_extend_logger_results_with_comparison (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.084s) 2022-11-23T01:18:15.4220155Z test_extract_weights_conv_fun_ptq (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py:1346: UserWarning: Node _packed_weight_2 target _packed_weight_2 _packed_weight_2 of does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target 2022-11-23T01:18:15.4220890Z warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does ' 2022-11-23T01:18:15.4221536Z /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py:1346: UserWarning: Node _packed_weight_3 target _packed_weight_3 _packed_weight_3 of does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target 2022-11-23T01:18:15.4222060Z warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does ' 2022-11-23T01:18:15.4222706Z /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py:1346: UserWarning: Node _packed_weight_4 target _packed_weight_4 _packed_weight_4 of does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target 2022-11-23T01:18:15.4223238Z warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does ' 2022-11-23T01:18:15.4223901Z /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py:1346: UserWarning: Node _packed_weight_5 target _packed_weight_5 _packed_weight_5 of does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target 2022-11-23T01:18:15.4224741Z warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does ' 2022-11-23T01:18:15.4225071Z ok (0.887s) 2022-11-23T01:18:15.4225497Z test_extract_weights_conv_fun_qat (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.909s) 2022-11-23T01:18:15.4226279Z test_extract_weights_cuda (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... skip: CUDA unavailable (0.001s) 2022-11-23T01:18:15.4226748Z test_extract_weights_dynamic (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.249s) 2022-11-23T01:18:15.4227248Z test_extract_weights_fqn (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.085s) 2022-11-23T01:18:15.4227673Z test_extract_weights_linear_fun_ptq (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.419s) 2022-11-23T01:18:15.4228097Z test_extract_weights_linear_fun_qat (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.432s) 2022-11-23T01:18:15.4228506Z test_extract_weights_mod_ptq (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (1.012s) 2022-11-23T01:18:15.4228918Z test_extract_weights_mod_qat (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (1.183s) 2022-11-23T01:18:15.4229322Z test_fp16_shadows_fp32 (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.060s) 2022-11-23T01:18:15.4229947Z test_int8_shadows_fp32_coverage (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... skipping shadow loggers for node_b: torch.nn.modules.pooling.AdaptiveAvgPool2d, start_node_a: torch.nn.modules.pooling.AdaptiveAvgPool2d, unknown dtype cast 2022-11-23T01:18:15.4230655Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch.nn.modules.pooling.AdaptiveAvgPool2d, unknown dtype cast 2022-11-23T01:18:15.4231290Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.mul, start_node_a: torch._ops.quantized.PyCapsule.mul, unsupported 2022-11-23T01:18:15.4231808Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._ops.quantized.PyCapsule.mul, unknown dtype cast 2022-11-23T01:18:15.4232319Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._ops.quantized.PyCapsule.add_relu, unsupported 2022-11-23T01:18:15.4232830Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._ops.quantized.PyCapsule.add_relu, unknown dtype cast 2022-11-23T01:18:15.4233218Z ok (0.176s) 2022-11-23T01:18:15.4233516Z test_int8_shadows_fp32_simple (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.104s) 2022-11-23T01:18:15.4233931Z test_int8_shadows_int8_fun (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.214s) 2022-11-23T01:18:15.4234326Z test_int8_shadows_int8_mod (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.089s) 2022-11-23T01:18:15.4234719Z test_layer_names (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.369s) 2022-11-23T01:18:15.4235121Z test_linear_fp16_activations (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.311s) 2022-11-23T01:18:15.4235543Z test_linear_fp16_shadow_activations (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.408s) 2022-11-23T01:18:15.4236016Z test_linear_fp16_vs_linear_fp16_shadow_activations (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.060s) 2022-11-23T01:18:15.4236597Z test_linear_fp16_weights (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.185s) 2022-11-23T01:18:15.4237285Z test_linear_kwargs_shadow (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.145s) 2022-11-23T01:18:15.4237906Z test_loggers_preserve_qat_numerics (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.098s) 2022-11-23T01:18:15.4238520Z test_logging_inputs (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) 2022-11-23T01:18:15.4239239Z Verifies that logging inputs works correctly ... skipping shadow loggers for node_b: torch._VariableFunctionsClass.cat, start_node_a: torch._VariableFunctionsClass.cat, unsupported 2022-11-23T01:18:15.4239757Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.cat, start_node_a: torch._VariableFunctionsClass.cat, unsupported 2022-11-23T01:18:15.4240070Z ok (1.319s) 2022-11-23T01:18:15.4240353Z test_match_activations_fqn (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.087s) 2022-11-23T01:18:15.4240770Z test_match_activations_fun_ptq (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.729s) 2022-11-23T01:18:15.4241184Z test_match_activations_fun_qat (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.414s) 2022-11-23T01:18:15.4241577Z test_match_activations_meth_ptq (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) 2022-11-23T01:18:15.4241903Z Verify that add_loggers works on methods ... ok (0.149s) 2022-11-23T01:18:15.4242242Z test_match_activations_mod_ptq (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.680s) 2022-11-23T01:18:15.4242648Z test_match_activations_mod_qat (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.397s) 2022-11-23T01:18:15.4243141Z test_mul_add_cat_stack_skips_shadowing (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... skipping shadow loggers for node_b: _operator.mul, start_node_a: _operator.mul, unsupported 2022-11-23T01:18:15.4243689Z skipping shadow loggers for node_b: torch.ao.quantization.observer.HistogramObserver, start_node_a: _operator.mul, unsupported 2022-11-23T01:18:15.4244240Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.mul, start_node_a: torch._VariableFunctionsClass.mul, unsupported 2022-11-23T01:18:15.4244755Z skipping shadow loggers for node_b: torch.ao.quantization.observer.HistogramObserver, start_node_a: torch._VariableFunctionsClass.mul, unsupported 2022-11-23T01:18:15.4245187Z skipping shadow loggers for node_b: _operator.add, start_node_a: _operator.add, unsupported 2022-11-23T01:18:15.4245610Z skipping shadow loggers for node_b: torch.ao.quantization.observer.HistogramObserver, start_node_a: _operator.add, unsupported 2022-11-23T01:18:15.4246089Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4246627Z skipping shadow loggers for node_b: torch.ao.quantization.observer.HistogramObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4247117Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.cat, start_node_a: torch._VariableFunctionsClass.cat, unsupported 2022-11-23T01:18:15.4247593Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.stack, start_node_a: torch._VariableFunctionsClass.stack, unsupported 2022-11-23T01:18:15.4248036Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.mul, start_node_a: _operator.mul, unsupported 2022-11-23T01:18:15.4248480Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.mul, start_node_a: torch._VariableFunctionsClass.mul, unsupported 2022-11-23T01:18:15.4248910Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: _operator.add, unsupported 2022-11-23T01:18:15.4249353Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4249825Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.cat, start_node_a: torch._VariableFunctionsClass.cat, unsupported 2022-11-23T01:18:15.4250303Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.stack, start_node_a: torch._VariableFunctionsClass.stack, unsupported 2022-11-23T01:18:15.4250604Z ok (1.778s) 2022-11-23T01:18:15.4250885Z test_op_io_dtype_coverage (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) 2022-11-23T01:18:15.4251241Z Tests that all the ops quantization cares about have input and output ... ok (0.011s) 2022-11-23T01:18:15.4251601Z test_op_with_either_fp32_or_int8_input (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) 2022-11-23T01:18:15.4252118Z Verify that shadowing works with ops which accept either fp32 or ... skipping shadow loggers for node_b: torch.nn.modules.activation.ReLU, start_node_a: torch.nn.modules.activation.ReLU, unknown dtype cast 2022-11-23T01:18:15.4252710Z skipping shadow loggers for node_b: torch.ao.quantization.observer.HistogramObserver, start_node_a: torch.nn.modules.activation.ReLU, unknown dtype cast 2022-11-23T01:18:15.4253211Z skipping shadow loggers for node_b: torch.nn.functional.relu, start_node_a: torch.nn.functional.relu, unknown dtype cast 2022-11-23T01:18:15.4253692Z skipping shadow loggers for node_b: torch.ao.quantization.observer.HistogramObserver, start_node_a: torch.nn.functional.relu, unknown dtype cast 2022-11-23T01:18:15.4254193Z skipping shadow loggers for node_b: torch.nn.modules.activation.ReLU, start_node_a: torch.nn.modules.activation.ReLU, unknown dtype cast 2022-11-23T01:18:15.4254644Z skipping shadow loggers for node_b: torch.nn.functional.relu, start_node_a: torch.nn.functional.relu, unknown dtype cast 2022-11-23T01:18:15.4254930Z ok (0.857s) 2022-11-23T01:18:15.4255377Z test_op_with_only_kwargs_skips_shadowing (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... skipping shadow loggers for node_b: torch._VariableFunctionsClass.cat, start_node_a: torch._VariableFunctionsClass.cat, unsupported 2022-11-23T01:18:15.4255991Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.stack, start_node_a: torch._VariableFunctionsClass.stack, unsupported 2022-11-23T01:18:15.4256498Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.cat, start_node_a: torch._VariableFunctionsClass.cat, unsupported 2022-11-23T01:18:15.4256971Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.stack, start_node_a: torch._VariableFunctionsClass.stack, unsupported 2022-11-23T01:18:15.4257287Z ok (0.365s) 2022-11-23T01:18:15.4257571Z test_ops_with_same_fp32_and_int8_signature (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) 2022-11-23T01:18:15.4257934Z Verifies that we can match pairs of ops which have the same aten ... ok (0.377s) 2022-11-23T01:18:15.4258335Z test_shadow_activations_fqn (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.185s) 2022-11-23T01:18:15.4258889Z test_shadow_loggers_preserve_qat_numerics (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.103s) 2022-11-23T01:18:15.4259563Z test_unsupported_op_copy_skips_shadowing (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) 2022-11-23T01:18:15.4260452Z Copying a `call_function` node is not implemented, test that this ... skipping shadow loggers for node_b: torch.nn.functional.layer_norm, start_node_a: torch.nn.functional.layer_norm, unhandled logic in subgraph copy 2022-11-23T01:18:15.4261439Z skipping shadow loggers for node_b: torch.ao.quantization.observer.HistogramObserver, start_node_a: torch.nn.functional.layer_norm, unhandled logic in subgraph copy 2022-11-23T01:18:15.4262363Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.layer_norm, start_node_a: torch.nn.functional.layer_norm, unhandled logic in subgraph copy 2022-11-23T01:18:15.4262943Z ok (0.415s) 2022-11-23T01:18:15.4263450Z test_user_defined_function (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) 2022-11-23T01:18:15.4264325Z Verify that NS APIs work on user defined functions ... skipping shadow loggers for node_b: torch._C._nn.linear, start_node_a: quantization.fx.test_numeric_suite_fx._wrapped_linear, unknown dtype cast 2022-11-23T01:18:15.4265349Z skipping shadow loggers for node_b: torch.ao.quantization.observer.HistogramObserver, start_node_a: quantization.fx.test_numeric_suite_fx._wrapped_linear, unknown dtype cast 2022-11-23T01:18:15.4266564Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead. 2022-11-23T01:18:15.4267393Z warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.") 2022-11-23T01:18:15.4267845Z ok (0.328s) 2022-11-23T01:18:15.4268317Z test_user_module (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) 2022-11-23T01:18:15.4269698Z For user defined modules, ... /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/quantize_fx.py:150: UserWarning: Passing a prepare_custom_config_dict to prepare is deprecated and will not be supported in a future version. Please pass in a PrepareCustomConfig instead. 2022-11-23T01:18:15.4270671Z "Passing a prepare_custom_config_dict to prepare is deprecated and will not be supported " 2022-11-23T01:18:15.4271121Z ok (0.196s) 2022-11-23T01:18:15.4271639Z test_user_module_scriptable (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs) ... ok (0.173s) 2022-11-23T01:18:15.4272432Z test_compare_activations_conv (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... ok (1.148s) 2022-11-23T01:18:15.4273258Z test_compare_activations_linear (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... ok (0.712s) 2022-11-23T01:18:15.4275115Z test_compare_activations_lstm_dynamic (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/reference/modules/rnn.py:310: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T01:18:15.4276396Z torch.tensor(weight_qparams["scale"], dtype=torch.float, device=device)) 2022-11-23T01:18:15.4277724Z /opt/conda/lib/python3.7/site-packages/torch/ao/nn/quantized/reference/modules/rnn.py:313: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T01:18:15.4278660Z torch.tensor(weight_qparams["zero_point"], dtype=torch.int, device=device)) 2022-11-23T01:18:15.4279074Z ok (0.144s) 2022-11-23T01:18:15.4279639Z test_compare_shadow_activations_conv (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... ok (1.305s) 2022-11-23T01:18:15.4280547Z test_compare_shadow_activations_linear (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... ok (0.730s) 2022-11-23T01:18:15.4281402Z test_compare_shadow_activations_lstm_dynamic (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... ok (0.143s) 2022-11-23T01:18:15.4282239Z test_compare_weights_conv (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... ok (0.743s) 2022-11-23T01:18:15.4282997Z test_compare_weights_linear (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... ok (0.426s) 2022-11-23T01:18:15.4283819Z test_compare_weights_lstm_dynamic (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... ok (0.341s) 2022-11-23T01:18:15.4284895Z test_mobilenet_v2 (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4286040Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4286948Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4287874Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4288789Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4289717Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4290639Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4291544Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4292461Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4293391Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4294314Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4295226Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4296145Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4297068Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4297975Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4299091Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4300012Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4300932Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4301844Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4302799Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4303721Z skipping shadow loggers for node_b: torch.nn.functional.adaptive_avg_pool2d, start_node_a: torch.nn.functional.adaptive_avg_pool2d, unhandled logic in subgraph copy 2022-11-23T01:18:15.4304755Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch.nn.functional.adaptive_avg_pool2d, unhandled logic in subgraph copy 2022-11-23T01:18:15.4305733Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4306584Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4307529Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4308409Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4309272Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4310130Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4310994Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4311858Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4312727Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4313568Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4314495Z skipping shadow loggers for node_b: torch.nn.functional.adaptive_avg_pool2d, start_node_a: torch.nn.functional.adaptive_avg_pool2d, unhandled logic in subgraph copy 2022-11-23T01:18:15.4315113Z ok (7.540s) 2022-11-23T01:18:15.4315941Z test_resnet18 (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4317078Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4318004Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4318924Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4319844Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4320795Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4321721Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4322645Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4323565Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4324468Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4325446Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4326374Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4327294Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4328205Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4329118Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.add, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4330042Z skipping shadow loggers for node_b: torch.ao.quantization.observer.MinMaxObserver, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4330974Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add_relu, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4331848Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add_relu, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4332710Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add_relu, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4333583Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add_relu, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4334451Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add_relu, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4335322Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add_relu, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4336181Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add_relu, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4337039Z skipping shadow loggers for node_b: torch._ops.quantized.PyCapsule.add_relu, start_node_a: torch._VariableFunctionsClass.add, unsupported 2022-11-23T01:18:15.4337988Z skipping shadow loggers for node_b: torch.nn.modules.pooling.AdaptiveAvgPool2d, start_node_a: torch.nn.modules.pooling.AdaptiveAvgPool2d, unknown dtype cast 2022-11-23T01:18:15.4339133Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.flatten, start_node_a: torch._VariableFunctionsClass.flatten, unknown dtype cast 2022-11-23T01:18:15.4339593Z ok (3.601s) 2022-11-23T01:18:15.4340197Z test_sparsenn_compare_activations (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... ok (6.491s) 2022-11-23T01:18:15.4340924Z test_sparsenn_shadow (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels) ... skipping shadow loggers for node_b: torch.nn.modules.sparse.EmbeddingBag, start_node_a: torch.nn.modules.sparse.EmbeddingBag, unknown dtype cast 2022-11-23T01:18:15.4341619Z skipping shadow loggers for node_b: torch.ao.quantization.observer.HistogramObserver, start_node_a: torch.nn.modules.sparse.EmbeddingBag, unknown dtype cast 2022-11-23T01:18:15.4342237Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.cat, start_node_a: torch._VariableFunctionsClass.cat, unsupported 2022-11-23T01:18:15.4342746Z skipping shadow loggers for node_b: torch.nn.modules.sparse.EmbeddingBag, start_node_a: torch.nn.modules.sparse.EmbeddingBag, unknown dtype cast 2022-11-23T01:18:15.4343245Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.cat, start_node_a: torch._VariableFunctionsClass.cat, unsupported 2022-11-23T01:18:15.4343747Z skipping shadow loggers for node_b: torch.nn.modules.sparse.EmbeddingBag, start_node_a: torch.nn.modules.sparse.EmbeddingBag, unknown dtype cast 2022-11-23T01:18:15.4344349Z skipping shadow loggers for node_b: torch.ao.quantization.observer.HistogramObserver, start_node_a: torch.nn.modules.sparse.EmbeddingBag, unknown dtype cast 2022-11-23T01:18:15.4344878Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.cat, start_node_a: torch._VariableFunctionsClass.cat, unsupported 2022-11-23T01:18:15.4345379Z skipping shadow loggers for node_b: torch.nn.modules.sparse.EmbeddingBag, start_node_a: torch.nn.modules.sparse.EmbeddingBag, unknown dtype cast 2022-11-23T01:18:15.4345877Z skipping shadow loggers for node_b: torch._VariableFunctionsClass.cat, start_node_a: torch._VariableFunctionsClass.cat, unsupported 2022-11-23T01:18:15.4346176Z ok (6.625s) 2022-11-23T01:18:15.4346590Z test_conv_bn_relu_mod (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... `print_tabular` relies on the library `tabulate`, which could not be found on this machine. Run `pip install tabulate` to install the library. 2022-11-23T01:18:15.4346986Z ok (0.065s) 2022-11-23T01:18:15.4347462Z test_functions (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... `print_tabular` relies on the library `tabulate`, which could not be found on this machine. Run `pip install tabulate` to install the library. 2022-11-23T01:18:15.4348714Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fx/utils.py:1025: UserWarning: QConfig must specify a FixedQParamsObserver or a FixedQParamsFakeQuantize for fixed qparams ops, ignoring QConfig(activation=functools.partial(, quant_min=0, quant_max=127){}, weight=functools.partial(, dtype=torch.qint8, qscheme=torch.per_tensor_symmetric){}). 2022-11-23T01:18:15.4349555Z Please use torch.ao.quantization.get_default_qconfig_mapping or torch.ao.quantization.get_default_qat_qconfig_mapping. Example: 2022-11-23T01:18:15.4349915Z qconfig_mapping = get_default_qconfig_mapping("fbgemm") 2022-11-23T01:18:15.4350192Z model = prepare_fx(model, qconfig_mapping, example_inputs) 2022-11-23T01:18:15.4350484Z "for fixed qparams ops, ignoring %s.\n%s") % (qconfig, suggestion_str)) 2022-11-23T01:18:15.4350698Z ok (0.257s) 2022-11-23T01:18:15.4351108Z test_linear_mod (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... `print_tabular` relies on the library `tabulate`, which could not be found on this machine. Run `pip install tabulate` to install the library. 2022-11-23T01:18:15.4351489Z ok (0.031s) 2022-11-23T01:18:15.4351887Z test_linear_relu_mod (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... `print_tabular` relies on the library `tabulate`, which could not be found on this machine. Run `pip install tabulate` to install the library. 2022-11-23T01:18:15.4352273Z ok (0.090s) 2022-11-23T01:18:15.4352588Z test_logger_enabled_and_save_activations_flags (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... ok (0.044s) 2022-11-23T01:18:15.4353138Z test_mobilenet_v2 (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... `print_tabular` relies on the library `tabulate`, which could not be found on this machine. Run `pip install tabulate` to install the library. 2022-11-23T01:18:15.4353508Z ok (4.050s) 2022-11-23T01:18:15.4353932Z test_partial_qconfig_mapping (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... unable to find at least one qconfig for node %fc : [#users=1] = call_module[target=fc](args = (%x,), kwargs = {}), skipping 2022-11-23T01:18:15.4354441Z unable to find at least one qconfig for node %add : [#users=1] = call_function[target=operator.add](args = (%relu, %relu), kwargs = {}), skipping 2022-11-23T01:18:15.4354862Z `print_tabular` relies on the library `tabulate`, which could not be found on this machine. Run `pip install tabulate` to install the library. 2022-11-23T01:18:15.4355133Z ok (0.036s) 2022-11-23T01:18:15.4355441Z test_qconfig_multi_mapping_deduplication (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... ok (0.001s) 2022-11-23T01:18:15.4356034Z test_qconfig_multi_mapping_end_to_end (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... `print_tabular` relies on the library `tabulate`, which could not be found on this machine. Run `pip install tabulate` to install the library. 2022-11-23T01:18:15.4356436Z ok (0.070s) 2022-11-23T01:18:15.4356850Z test_qconfig_multi_mapping_from_list (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... `print_tabular` relies on the library `tabulate`, which could not be found on this machine. Run `pip install tabulate` to install the library. 2022-11-23T01:18:15.4357248Z ok (0.069s) 2022-11-23T01:18:15.4357559Z test_qconfig_multi_mapping_insert_padding (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... ok (0.002s) 2022-11-23T01:18:15.4358117Z test_qconfig_multi_mapping_ordering (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... `print_tabular` relies on the library `tabulate`, which could not be found on this machine. Run `pip install tabulate` to install the library. 2022-11-23T01:18:15.4358504Z ok (0.091s) 2022-11-23T01:18:15.4358817Z test_qconfig_multi_mapping_retroactive_padding (quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows) ... ok (0.002s) 2022-11-23T01:18:15.4359240Z test_fq_module_per_channel (quantization.core.test_workflow_module.TestFakeQuantize) ... ok (0.186s) 2022-11-23T01:18:15.4359634Z test_fq_serializable_per_channel (quantization.core.test_workflow_module.TestFakeQuantize) ... ok (0.004s) 2022-11-23T01:18:15.4360009Z test_quant_min_max_override (quantization.core.test_workflow_module.TestFakeQuantize) ... ok (0.001s) 2022-11-23T01:18:15.4360385Z test_backward_per_channel (quantization.core.test_workflow_ops.TestFakeQuantizeOps) 2022-11-23T01:18:15.4360786Z Tests the backward method. ... skip: this is broken without changes to any relevant code, we need to remove hypothesis testing in CI (0.107s) 2022-11-23T01:18:15.4361207Z test_backward_per_channel_cachemask_cpu (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.016s) 2022-11-23T01:18:15.4361640Z test_backward_per_channel_cachemask_cuda (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... skip: No gpu is not available. (0.000s) 2022-11-23T01:18:15.4362054Z test_backward_per_tensor (quantization.core.test_workflow_ops.TestFakeQuantizeOps) 2022-11-23T01:18:15.4362388Z Tests the backward method. ... skip: temporarily disable the test (0.006s) 2022-11-23T01:18:15.4362912Z test_backward_per_tensor_cachemask_cpu (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.010s) 2022-11-23T01:18:15.4363555Z test_backward_per_tensor_cachemask_cuda (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... skip: No gpu is not available. (0.000s) 2022-11-23T01:18:15.4364162Z test_fake_quant_control (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.009s) 2022-11-23T01:18:15.4364874Z test_fake_quant_per_channel_qparam_range (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.387s) 2022-11-23T01:18:15.4365500Z test_fake_quant_preserves_qparam_shapes_for_activations (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.006s) 2022-11-23T01:18:15.4366214Z test_fixed_qparams_fq_module (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.120s) 2022-11-23T01:18:15.4367642Z test_forward_backward_per_tensor_with_amp (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... /opt/conda/lib/python3.7/site-packages/torch/amp/autocast_mode.py:204: UserWarning: User provided device_type of 'cuda', but CUDA is not available. Disabling 2022-11-23T01:18:15.4368722Z warnings.warn('User provided device_type of \'cuda\', but CUDA is not available. Disabling') 2022-11-23T01:18:15.4369153Z ok (0.007s) 2022-11-23T01:18:15.4369635Z test_forward_per_channel (quantization.core.test_workflow_ops.TestFakeQuantizeOps) 2022-11-23T01:18:15.4370282Z Tests the forward path of the FakeQuantizePerTensorAffine op. ... ok (0.142s) 2022-11-23T01:18:15.4371030Z test_forward_per_channel_cachemask_cpu (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.016s) 2022-11-23T01:18:15.4371830Z test_forward_per_channel_cachemask_cuda (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... skip: No gpu is not available. (0.000s) 2022-11-23T01:18:15.4372654Z test_forward_per_channel_half_precision_numerics (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.015s) 2022-11-23T01:18:15.4373378Z test_forward_per_tensor (quantization.core.test_workflow_ops.TestFakeQuantizeOps) 2022-11-23T01:18:15.4374013Z Tests the forward path of the FakeQuantizePerTensorAffine op. ... ok (0.110s) 2022-11-23T01:18:15.4374682Z test_forward_per_tensor_cachemask_cpu (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.014s) 2022-11-23T01:18:15.4375493Z test_forward_per_tensor_cachemask_cuda (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... skip: No gpu is not available. (0.000s) 2022-11-23T01:18:15.4376329Z test_forward_per_tensor_half_precision_numerics (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.007s) 2022-11-23T01:18:15.4377048Z test_fq_module_per_tensor (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.161s) 2022-11-23T01:18:15.4377749Z test_fq_serializable_per_tensor (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.009s) 2022-11-23T01:18:15.4378683Z test_learnable_backward_per_channel_cpu (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... skip: this is broken without changes to any relevant code, we need to remove hypothesis testing in CI (0.004s) 2022-11-23T01:18:15.4379799Z test_learnable_backward_per_channel_cuda (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... skip: No gpu is not available. (0.004s) 2022-11-23T01:18:15.4380608Z test_learnable_backward_per_tensor_cpu (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.344s) 2022-11-23T01:18:15.4381411Z test_learnable_backward_per_tensor_cuda (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... skip: No gpu is not available. (0.004s) 2022-11-23T01:18:15.4382217Z test_learnable_forward_per_channel_cpu (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.164s) 2022-11-23T01:18:15.4383039Z test_learnable_forward_per_channel_cuda (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... skip: No gpu is not available. (0.004s) 2022-11-23T01:18:15.4384022Z test_learnable_forward_per_tensor_cpu (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... skip: this is broken without changes to any relevant code, we need to remove hypothesis testing in CI (0.004s) 2022-11-23T01:18:15.4384973Z test_learnable_forward_per_tensor_cuda (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... skip: No gpu is not available. (0.004s) 2022-11-23T01:18:15.4385786Z test_numerical_consistency_per_channel (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.093s) 2022-11-23T01:18:15.4386551Z test_numerical_consistency_per_tensor (quantization.core.test_workflow_ops.TestFakeQuantizeOps) ... ok (0.044s) 2022-11-23T01:18:15.4387302Z test_forward_hooks_preserved (quantization.eager.test_fuse_eager.TestFuseEager) 2022-11-23T01:18:15.4387900Z Test case that checks whether forward pre hooks of the first module and ... ok (0.018s) 2022-11-23T01:18:15.4388643Z test_fuse_function_customization (quantization.eager.test_fuse_eager.TestFuseEager) ... ok (0.002s) 2022-11-23T01:18:15.4389303Z test_fuse_module_eval (quantization.eager.test_fuse_eager.TestFuseEager) ... ok (0.051s) 2022-11-23T01:18:15.4389946Z test_fuse_module_train (quantization.eager.test_fuse_eager.TestFuseEager) ... ok (0.395s) 2022-11-23T01:18:15.4390553Z test_fusion_conv_with_bias (quantization.eager.test_fuse_eager.TestFuseEager) ... ok (0.068s) 2022-11-23T01:18:15.4391212Z test_fusion_convtranspose_bn_eval (quantization.eager.test_fuse_eager.TestFuseEager) ... ok (0.006s) 2022-11-23T01:18:15.4391964Z test_fusion_linear_bn_eval (quantization.eager.test_fuse_eager.TestFuseEager) ... ok (0.003s) 2022-11-23T01:18:15.4392624Z test_fusion_sequential_model_eval (quantization.eager.test_fuse_eager.TestFuseEager) ... ok (1.450s) 2022-11-23T01:18:15.4393317Z test_fusion_sequential_model_train (quantization.eager.test_fuse_eager.TestFuseEager) ... ok (0.245s) 2022-11-23T01:18:15.4394186Z test_fuse_addtional_fuser_method (quantization.fx.test_quantize_fx.TestFuseFx) ... skip: Temporarily skipping the test case, will enable after the simplepattern format is supported (0.002s) 2022-11-23T01:18:15.4394990Z test_fuse_conv_bn_relu (quantization.fx.test_quantize_fx.TestFuseFx) ... ok (0.027s) 2022-11-23T01:18:15.4395598Z test_fuse_convtranspose_bn_eval (quantization.fx.test_quantize_fx.TestFuseFx) ... ok (0.008s) 2022-11-23T01:18:15.4396226Z test_fuse_custom_pattern (quantization.fx.test_quantize_fx.TestFuseFx) ... ok (0.011s) 2022-11-23T01:18:15.4396836Z test_fuse_linear_bn_eval (quantization.fx.test_quantize_fx.TestFuseFx) ... ok (0.006s) 2022-11-23T01:18:15.4397437Z test_fuse_module_relu (quantization.fx.test_quantize_fx.TestFuseFx) ... ok (0.008s) 2022-11-23T01:18:15.4398034Z test_fusion_pattern_with_matchallnode (quantization.fx.test_quantize_fx.TestFuseFx) 2022-11-23T01:18:15.4398658Z This test tests that the node matched by MatchAllNode will be regared as an input ... ok (0.006s) 2022-11-23T01:18:15.4399285Z test_fusion_pattern_with_multiple_inputs (quantization.fx.test_quantize_fx.TestFuseFx) 2022-11-23T01:18:15.4399881Z This test tests two keys in backend_config: root_node_getter and ... ok (0.006s) 2022-11-23T01:18:15.4400461Z test_problematic_fuse_example (quantization.fx.test_quantize_fx.TestFuseFx) ... ok (0.015s) 2022-11-23T01:18:15.4401069Z test_qconfig_fused_module (quantization.fx.test_quantize_fx.TestFuseFx) 2022-11-23T01:18:15.4401564Z TODO: add test for all fused modules ... ok (0.041s) 2022-11-23T01:18:15.4402163Z test_fused_backward_op_fake_quant_off (quantization.core.test_workflow_ops.TestFusedObsFakeQuant) ... ok (0.006s) 2022-11-23T01:18:15.4402913Z test_fused_obs_fake_quant_backward_op (quantization.core.test_workflow_ops.TestFusedObsFakeQuant) ... ok (0.007s) 2022-11-23T01:18:15.4403642Z test_fused_obs_fake_quant_moving_avg (quantization.core.test_workflow_ops.TestFusedObsFakeQuant) 2022-11-23T01:18:15.4404308Z Tests the case where we call the fused_obs_fake_quant op multiple times ... ok (0.014s) 2022-11-23T01:18:15.4404954Z test_fused_obs_fake_quant_moving_avg_per_channel (quantization.core.test_workflow_ops.TestFusedObsFakeQuant) 2022-11-23T01:18:15.4405611Z Tests the case where we call the fused_obs_fake_quant op multiple times ... ok (0.046s) 2022-11-23T01:18:15.4406319Z test_compare_fused_obs_fq_oss_module (quantization.core.test_workflow_module.TestFusedObsFakeQuantModule) ... ok (0.012s) 2022-11-23T01:18:15.4407141Z test_default_fused_qat_config (quantization.core.test_workflow_module.TestFusedObsFakeQuantModule) ... ok (0.018s) 2022-11-23T01:18:15.4407928Z test_embedding_bag_qat_config (quantization.core.test_workflow_module.TestFusedObsFakeQuantModule) ... ok (0.022s) 2022-11-23T01:18:15.4408714Z test_embedding_qat_config (quantization.core.test_workflow_module.TestFusedObsFakeQuantModule) ... ok (0.057s) 2022-11-23T01:18:15.4409560Z test_fused_mod_per_channel (quantization.core.test_workflow_module.TestFusedObsFakeQuantModule) ... ok (0.030s) 2022-11-23T01:18:15.4410344Z test_fused_mod_reduce_range (quantization.core.test_workflow_module.TestFusedObsFakeQuantModule) ... ok (0.001s) 2022-11-23T01:18:15.4411148Z test_fused_obs_fq_module (quantization.core.test_workflow_module.TestFusedObsFakeQuantModule) ... ok (0.006s) 2022-11-23T01:18:15.4411933Z test_fused_obs_fq_moving_avg_module (quantization.core.test_workflow_module.TestFusedObsFakeQuantModule) ... ok (0.009s) 2022-11-23T01:18:15.4412695Z test_quantized_add_relu_fusion (quantization.jit.test_fusion_passes.TestFusionPasses) ... ok (0.019s) 2022-11-23T01:18:15.4413498Z test_input_weight_equalization_determine_points (quantization.fx.test_model_report_fx.TestFxDetectInputWeightEqualization) ... ok (0.203s) 2022-11-23T01:18:15.4414514Z test_input_weight_equalization_report_gen (quantization.fx.test_model_report_fx.TestFxDetectInputWeightEqualization) ... ok (0.059s) 2022-11-23T01:18:15.4415448Z test_input_weight_equalization_report_gen_empty (quantization.fx.test_model_report_fx.TestFxDetectInputWeightEqualization) ... ok (0.013s) 2022-11-23T01:18:15.4416268Z test_all_outlier_report_gen (quantization.fx.test_model_report_fx.TestFxDetectOutliers) ... ok (0.026s) 2022-11-23T01:18:15.4417001Z test_multiple_run_consistent_spike_outlier_report_gen (quantization.fx.test_model_report_fx.TestFxDetectOutliers) ... ok (0.128s) 2022-11-23T01:18:15.4417766Z test_no_outlier_report_gen (quantization.fx.test_model_report_fx.TestFxDetectOutliers) ... ok (0.027s) 2022-11-23T01:18:15.4418485Z test_outlier_detection_determine_points (quantization.fx.test_model_report_fx.TestFxDetectOutliers) ... ok (0.030s) 2022-11-23T01:18:15.4419343Z test_constructor (quantization.fx.test_model_report_fx.TestFxModelReportClass) 2022-11-23T01:18:15.4419887Z Tests the constructor of the ModelReport class. ... ok (0.017s) 2022-11-23T01:18:15.4420513Z test_equalization_mapping_generation (quantization.fx.test_model_report_fx.TestFxModelReportClass) 2022-11-23T01:18:15.4421151Z Tests for generation of qconfigs by ModelReport API ... ok (0.060s) 2022-11-23T01:18:15.4421748Z test_generate_report (quantization.fx.test_model_report_fx.TestFxModelReportClass) 2022-11-23T01:18:15.4422865Z Tests model_report.generate_model_report to ensure report generation ... /var/lib/jenkins/workspace/test/quantization/fx/test_model_report_fx.py:1061: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T01:18:15.4423916Z example_input = torch.tensor(torch.randint(100, (1, 3, 3, 3)), dtype=torch.float) 2022-11-23T01:18:15.4424344Z ok (0.182s) 2022-11-23T01:18:15.4424824Z test_generate_visualizer (quantization.fx.test_model_report_fx.TestFxModelReportClass) 2022-11-23T01:18:15.4425502Z Tests that the ModelReport class can properly create the ModelReportVisualizer instance ... ok (0.039s) 2022-11-23T01:18:15.4426218Z test_prepare_model_callibration (quantization.fx.test_model_report_fx.TestFxModelReportClass) 2022-11-23T01:18:15.4426927Z Tests model_report.prepare_detailed_calibration that prepares the model for callibration ... ok (0.029s) 2022-11-23T01:18:15.4427697Z test_qconfig_mapping_generation (quantization.fx.test_model_report_fx.TestFxModelReportClass) 2022-11-23T01:18:15.4428302Z Tests for generation of qconfigs by ModelReport API ... ok (0.063s) 2022-11-23T01:18:15.4428983Z test_nested_detection_case (quantization.fx.test_model_report_fx.TestFxModelReportDetectDynamicStatic) ... ok (0.056s) 2022-11-23T01:18:15.4429787Z test_conv_sub_class_considered (quantization.fx.test_model_report_fx.TestFxModelReportDetector) ... ok (0.026s) 2022-11-23T01:18:15.4430530Z test_fusion_layer_in_sequential (quantization.fx.test_model_report_fx.TestFxModelReportDetector) ... ok (0.024s) 2022-11-23T01:18:15.4431320Z test_multi_linear_model_without_per_channel (quantization.fx.test_model_report_fx.TestFxModelReportDetector) ... ok (0.018s) 2022-11-23T01:18:15.4432203Z test_multiple_q_config_options (quantization.fx.test_model_report_fx.TestFxModelReportDetector) ... ok (0.023s) 2022-11-23T01:18:15.4432982Z test_qat_aware_model_example (quantization.fx.test_model_report_fx.TestFxModelReportDetector) ... ok (0.013s) 2022-11-23T01:18:15.4433714Z test_sequential_model_format (quantization.fx.test_model_report_fx.TestFxModelReportDetector) ... ok (0.024s) 2022-11-23T01:18:15.4434443Z test_simple_conv (quantization.fx.test_model_report_fx.TestFxModelReportDetector) ... ok (0.013s) 2022-11-23T01:18:15.4435179Z test_observer_after_relu (quantization.fx.test_model_report_fx.TestFxModelReportObserver) ... ok (0.023s) 2022-11-23T01:18:15.4435998Z test_random_epochs_and_batches (quantization.fx.test_model_report_fx.TestFxModelReportObserver) ... ok (0.138s) 2022-11-23T01:18:15.4436731Z test_single_batch_of_ones (quantization.fx.test_model_report_fx.TestFxModelReportObserver) ... ok (0.004s) 2022-11-23T01:18:15.4437474Z test_zero_tensor_errors (quantization.fx.test_model_report_fx.TestFxModelReportObserver) ... ok (0.016s) 2022-11-23T01:18:15.4438229Z test_generate_tables_match_with_report (quantization.fx.test_model_report_fx.TestFxModelReportVisualizer) 2022-11-23T01:18:15.4438810Z Tests the generate_table_view() ... ok (0.039s) 2022-11-23T01:18:15.4439379Z test_generate_tables_no_match (quantization.fx.test_model_report_fx.TestFxModelReportVisualizer) 2022-11-23T01:18:15.4439953Z Tests the generate_table_view() ... ok (0.038s) 2022-11-23T01:18:15.4440556Z test_generate_tables_single_feat_match (quantization.fx.test_model_report_fx.TestFxModelReportVisualizer) 2022-11-23T01:18:15.4441117Z Tests the generate_table_view() ... ok (0.036s) 2022-11-23T01:18:15.4441678Z test_get_modules_and_features (quantization.fx.test_model_report_fx.TestFxModelReportVisualizer) 2022-11-23T01:18:15.4442345Z Tests the get_all_unique_module_fqns and get_all_unique_feature_names methods of ... ok (0.036s) 2022-11-23T01:18:15.4443017Z test_histogram_observer (quantization.core.test_workflow_module.TestHistogramObserver) ... ok (18.303s) 2022-11-23T01:18:15.4443782Z test_histogram_observer_against_reference (quantization.core.test_workflow_module.TestHistogramObserver) ... ok (4.315s) 2022-11-23T01:18:15.4444555Z test_histogram_observer_extreme_inputs (quantization.core.test_workflow_module.TestHistogramObserver) 2022-11-23T01:18:15.4445218Z Ensures that the HistogramObserver is able to work correctly in ... ok (0.002s) 2022-11-23T01:18:15.4445878Z test_histogram_observer_one_sided (quantization.core.test_workflow_module.TestHistogramObserver) ... ok (0.297s) 2022-11-23T01:18:15.4446654Z test_histogram_observer_same_inputs (quantization.core.test_workflow_module.TestHistogramObserver) ... ok (0.564s) 2022-11-23T01:18:15.4447396Z test_observer_scriptable (quantization.core.test_workflow_module.TestHistogramObserver) ... ok (0.486s) 2022-11-23T01:18:15.4448165Z test_fake_quant_true_quant_compare (quantization.eager.test_model_numerics.TestModelNumericsEager) ... ok (0.281s) 2022-11-23T01:18:15.4448955Z test_float_quant_compare_per_channel (quantization.eager.test_model_numerics.TestModelNumericsEager) ... ok (0.035s) 2022-11-23T01:18:15.4449753Z test_float_quant_compare_per_tensor (quantization.eager.test_model_numerics.TestModelNumericsEager) ... ok (0.124s) 2022-11-23T01:18:15.4450574Z test_weight_only_activation_only_fakequant (quantization.eager.test_model_numerics.TestModelNumericsEager) ... ok (0.359s) 2022-11-23T01:18:15.4451399Z test_compare_model_outputs_conv_static (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.172s) 2022-11-23T01:18:15.4452207Z test_compare_model_outputs_functional_static (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.174s) 2022-11-23T01:18:15.4453027Z test_compare_model_outputs_linear_dynamic (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.022s) 2022-11-23T01:18:15.4453903Z test_compare_model_outputs_linear_static (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.595s) 2022-11-23T01:18:15.4454729Z test_compare_model_outputs_lstm_dynamic (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.041s) 2022-11-23T01:18:15.4455517Z test_compare_model_stub_conv_static (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.237s) 2022-11-23T01:18:15.4456306Z test_compare_model_stub_functional_static (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.174s) 2022-11-23T01:18:15.4457114Z test_compare_model_stub_linear_dynamic (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.020s) 2022-11-23T01:18:15.4457977Z test_compare_model_stub_linear_static (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.593s) 2022-11-23T01:18:15.4458879Z test_compare_model_stub_lstm_dynamic (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.038s) 2022-11-23T01:18:15.4459665Z test_compare_model_stub_partial (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.531s) 2022-11-23T01:18:15.4460458Z test_compare_model_stub_submodule_static (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.035s) 2022-11-23T01:18:15.4461250Z test_compare_weights_conv_static (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.134s) 2022-11-23T01:18:15.4462027Z test_compare_weights_linear_dynamic (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.007s) 2022-11-23T01:18:15.4462826Z test_compare_weights_linear_static (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.576s) 2022-11-23T01:18:15.4463626Z test_compare_weights_lstm_dynamic (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... ok (0.010s) 2022-11-23T01:18:15.4465731Z test_mobilenet_v2 (quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager) ... /var/lib/jenkins/.local/lib/python3.7/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=MobileNet_V2_Weights.IMAGENET1K_V1`. You can also use `weights=MobileNet_V2_Weights.DEFAULT` to get the most up-to-date weights. 2022-11-23T01:18:15.4466931Z warnings.warn(msg) 2022-11-23T01:18:15.4467895Z Downloading: "https://download.pytorch.org/models/mobilenet_v2-b0353104.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/mobilenet_v2-b0353104.pth 2022-11-23T01:18:15.4468361Z 2022-11-23T01:18:15.4468495Z 0%| | 0.00/13.6M [00:00, quant_min=0, quant_max=63, dtype=torch.quint8){'factory_kwargs': .get_factory_kwargs_based_on_module_device at 0x7fecf4bc47a0>}, weight=functools.partial(, dtype=torch.qint8, qscheme=torch.per_tensor_symmetric){'factory_kwargs': .get_factory_kwargs_based_on_module_device at 0x7fecf4bc47a0>}) 2022-11-23T01:18:15.4603777Z backend_quant_min, backend_quant_max, qconfig)) 2022-11-23T01:18:15.4604612Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fx/utils.py:997: UserWarning: QConfig activation quantization range must fall within the backend's: 2022-11-23T01:18:15.4606853Z QConfig range = (0, 255), BackendConfig range = (0, 31), ignoring QConfig(activation=functools.partial(, dtype=torch.quint8){'factory_kwargs': .get_factory_kwargs_based_on_module_device at 0x7fecf454e560>}, weight=functools.partial(, quant_min=-128, quant_max=127, dtype=torch.qint8, qscheme=torch.per_tensor_symmetric){'factory_kwargs': .get_factory_kwargs_based_on_module_device at 0x7fecf454e560>}) 2022-11-23T01:18:15.4608361Z backend_quant_min, backend_quant_max, qconfig)) 2022-11-23T01:18:15.4609917Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fx/utils.py:991: UserWarning: QConfig activation must specify 'quant_min' and 'quant_max', ignoring QConfig(activation=, weight=) 2022-11-23T01:18:15.4610750Z (debug_string, qconfig)) 2022-11-23T01:18:15.4611062Z ok (0.039s) 2022-11-23T01:18:15.4611470Z test_backend_config_scale_min (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4614000Z Test QConfig eps validation against the BackendConfig's min scale value. ... /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fx/utils.py:1007: UserWarning: QConfig activation eps (tensor([6.1035e-05])) must be greater than or equal to the backend's min scale value (0.000244140625), ignoring QConfig(activation=functools.partial(, dtype=torch.quint8, eps=6.103515625e-05){'factory_kwargs': .get_factory_kwargs_based_on_module_device at 0x7fecf226d170>}, weight=functools.partial(, dtype=torch.qint8, qscheme=torch.per_tensor_symmetric){'factory_kwargs': .get_factory_kwargs_based_on_module_device at 0x7fecf226d170>}) 2022-11-23T01:18:15.4615557Z (debug_string, app_scale_min, backend_scale_min, qconfig)) 2022-11-23T01:18:15.4617452Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fx/utils.py:1007: UserWarning: QConfig activation eps (tensor([1.1921e-07])) must be greater than or equal to the backend's min scale value (0.000244140625), ignoring QConfig(activation=functools.partial(, dtype=torch.quint8){'factory_kwargs': .get_factory_kwargs_based_on_module_device at 0x7fecf4eb58c0>}, weight=functools.partial(, dtype=torch.qint8, qscheme=torch.per_tensor_symmetric, eps=6.103515625e-05){'factory_kwargs': .get_factory_kwargs_based_on_module_device at 0x7fecf4eb58c0>}) 2022-11-23T01:18:15.4618414Z (debug_string, app_scale_min, backend_scale_min, qconfig)) 2022-11-23T01:18:15.4619568Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fx/utils.py:1002: UserWarning: QConfig activation must specify 'eps', ignoring QConfig(activation=functools.partial(, scale=1.0, zero_point=0){}, weight=functools.partial(, scale=1.0, zero_point=0){}) 2022-11-23T01:18:15.4620339Z warnings.warn("QConfig %s must specify 'eps', ignoring %s" % (debug_string, qconfig)) 2022-11-23T01:18:15.4620586Z ok (0.050s) 2022-11-23T01:18:15.4620854Z test_change_backend_config_for_fixed_qparam_ops (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4621217Z Making sure we can skip validation of qconfigs for fixedqparam ops based ... ok (0.007s) 2022-11-23T01:18:15.4621567Z test_channel_shuffle_lowering (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.085s) 2022-11-23T01:18:15.4621889Z test_conv_bn_relu (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4622271Z Tests fusion and quantization for "Conv - Bn" and "Conv - Bn - ReLU" ... ok (1.655s) 2022-11-23T01:18:15.4622601Z test_conv_linear_not_reference (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4622891Z Test quantizing conv and linear ... ok (2.626s) 2022-11-23T01:18:15.4623165Z test_conv_linear_reference (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4623494Z Test quantizing functional conv and linear with reference option ... ok (2.347s) 2022-11-23T01:18:15.4623822Z test_conv_lowering (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.074s) 2022-11-23T01:18:15.4624260Z test_convert_custom_config_from_dict (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.002s) 2022-11-23T01:18:15.4624667Z test_convert_custom_config_set_observed_to_quantized_mapping (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s) 2022-11-23T01:18:15.4625087Z test_convert_custom_config_set_preserved_attributes (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s) 2022-11-23T01:18:15.4625476Z test_convert_custom_config_to_dict (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s) 2022-11-23T01:18:15.4626267Z test_convert_qconfig_mapping (quantization.fx.test_quantize_fx.TestQuantizeFx) ... /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fx/convert.py:878: UserWarning: Passing a QConfig dictionary to convert is deprecated and will not be supported in a future version. Please pass in a QConfigMapping instead. 2022-11-23T01:18:15.4626896Z "Passing a QConfig dictionary to convert is deprecated and will not be supported " 2022-11-23T01:18:15.4627674Z /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py:1346: UserWarning: Node mods1_1_packed_weight_0 target mods1_1_packed_weight_0 mods1_1_packed_weight_0 of does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target 2022-11-23T01:18:15.4628231Z warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does ' 2022-11-23T01:18:15.4628912Z /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py:1346: UserWarning: Node mods1_0_packed_weight_0 target mods1_0_packed_weight_0 mods1_0_packed_weight_0 of does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target 2022-11-23T01:18:15.4629446Z warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does ' 2022-11-23T01:18:15.4629685Z ok (0.119s) 2022-11-23T01:18:15.4629958Z test_convtranspose_per_channel_fails_early (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4630385Z Verifies that attempting to quantize a ConvTranspose module with per-Channel ... ok (0.013s) 2022-11-23T01:18:15.4630745Z test_copy_node_has_shared_actpp_instance (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4631062Z Test the output of CopyNode to have the same ... ok (0.053s) 2022-11-23T01:18:15.4631371Z test_custom_module_class (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.088s) 2022-11-23T01:18:15.4631724Z test_custom_module_class_input_has_multiple_users (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4632063Z Tests that the flow still works when the input of custom module ... ok (0.028s) 2022-11-23T01:18:15.4632414Z test_deepcopy_preserve_attributes (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.017s) 2022-11-23T01:18:15.4632778Z test_default_quant_after_none_qconfig (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4633075Z Make sure default quant is inserted properly ... ok (0.021s) 2022-11-23T01:18:15.4633365Z test_dequantize (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4633661Z Test to make sure dequantize node are placed before ... ok (0.308s) 2022-11-23T01:18:15.4633944Z test_dict_output (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4634253Z Make sure quantization runs for models with dictionary output ... ok (0.023s) 2022-11-23T01:18:15.4634587Z test_dynamic_linear_input_multiple_use (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4634899Z Tests input for dynamic linear being used by multiple ops ... ok (0.042s) 2022-11-23T01:18:15.4635220Z test_dynamic_quant_fp16 (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.063s) 2022-11-23T01:18:15.4635572Z test_dynamic_quant_weight_observer (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4635884Z Test that weight observer is run in convert step ... ok (0.017s) 2022-11-23T01:18:15.4636170Z test_dynamic_with_fusion (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4636988Z Tests that dynamic quantization APIs work with Linear + Relu fusion ... /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py:1346: UserWarning: Node mods2_packed_weight_0 target mods2_packed_weight_0 mods2_packed_weight_0 of does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target 2022-11-23T01:18:15.4637609Z warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does ' 2022-11-23T01:18:15.4637847Z ok (0.056s) 2022-11-23T01:18:15.4638098Z test_dynamic_with_fusion_multiple_uses (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4638468Z Tests that dynamic quantization APIs work with Linear + Relu fusion ... ok (0.040s) 2022-11-23T01:18:15.4638791Z test_fold_quant_dequant (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4639140Z Test that the sequence of quant-dequant nodes in the ... ok (0.025s) 2022-11-23T01:18:15.4639465Z test_fp32_input_fp32_output (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.026s) 2022-11-23T01:18:15.4639827Z test_fp32_input_quantized_output (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.025s) 2022-11-23T01:18:15.4640156Z test_fp32_sum (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4640508Z Verifies that fp32 sum works correctly if it's before or after ... ok (0.053s) 2022-11-23T01:18:15.4640844Z test_fuse_custom_config_from_dict (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s) 2022-11-23T01:18:15.4641232Z test_fuse_custom_config_set_preserved_attributes (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s) 2022-11-23T01:18:15.4641616Z test_fuse_custom_config_to_dict (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s) 2022-11-23T01:18:15.4641964Z test_fused_module_qat_swap (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.030s) 2022-11-23T01:18:15.4642315Z test_fusion_pattern_unquantized (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4642647Z Ensure that leaving a possible fusion pattern of multiple nodes ... ok (0.022s) 2022-11-23T01:18:15.4642972Z test_get_default_qconfig_valid_backend (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4643330Z Checks that AssertionError is raised when non expected backend input is specified ... ok (0.001s) 2022-11-23T01:18:15.4643693Z test_get_executorch_backend_config (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s) 2022-11-23T01:18:15.4644055Z test_getattr_with_nontensor_result (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4644363Z Verifies that binary ops get quantized correctly if some ... ok (0.058s) 2022-11-23T01:18:15.4644676Z test_linear_bn (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (1.281s) 2022-11-23T01:18:15.4645008Z test_linear_qint8_activation (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4645309Z Test support for qint8 activation in reference pattern ... ok (0.021s) 2022-11-23T01:18:15.4645657Z test_masked_fill_nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.149s) 2022-11-23T01:18:15.4646021Z test_mul_add_fp16_config (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.031s) 2022-11-23T01:18:15.4646384Z test_no_obs_between_unmatched_node_and_copy_node (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4646719Z Verifies that an observer is not inserted between an unmatched ... ok (0.022s) 2022-11-23T01:18:15.4647045Z test_non_traceable_module (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.015s) 2022-11-23T01:18:15.4647356Z test_not_used (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4647620Z Test quantizing a not used value ... ok (0.018s) 2022-11-23T01:18:15.4647893Z test_observer_fqn (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4648216Z Test to make sure the observer FQN is based on the quantizable op/module that it is observing ... ok (0.030s) 2022-11-23T01:18:15.4648589Z test_output_lists_and_dicts (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4648912Z Verify that specifying complicated output types does not crash. ... ok (0.021s) 2022-11-23T01:18:15.4649248Z test_packed_weight_fused_op (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.038s) 2022-11-23T01:18:15.4649570Z test_pattern_match (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4649831Z test MatchAllNode with ... ok (0.008s) 2022-11-23T01:18:15.4650137Z test_permute_nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.027s) 2022-11-23T01:18:15.4650534Z test_prepare_custom_config_from_dict (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.003s) 2022-11-23T01:18:15.4650939Z test_prepare_custom_config_set_float_to_observed_mapping (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.002s) 2022-11-23T01:18:15.4651358Z test_prepare_custom_config_set_input_quantized_indexes (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s) 2022-11-23T01:18:15.4651775Z test_prepare_custom_config_set_non_traceable_module_classes (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s) 2022-11-23T01:18:15.4652181Z test_prepare_custom_config_set_non_traceable_module_names (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s) 2022-11-23T01:18:15.4652596Z test_prepare_custom_config_set_output_quantized_indexes (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s) 2022-11-23T01:18:15.4653005Z test_prepare_custom_config_set_preserved_attributes (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s) 2022-11-23T01:18:15.4653416Z test_prepare_custom_config_set_standalone_module_class (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s) 2022-11-23T01:18:15.4653813Z test_prepare_custom_config_set_standalone_module_name (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s) 2022-11-23T01:18:15.4654205Z test_prepare_custom_config_to_dict (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.003s) 2022-11-23T01:18:15.4654560Z test_prepare_mode (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.062s) 2022-11-23T01:18:15.4654901Z test_prepared_model_deepcopy (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4655220Z Ensures that copy.deepcopy works correctly on a prepared model. ... ok (0.021s) 2022-11-23T01:18:15.4655556Z test_preserve_attributes (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.021s) 2022-11-23T01:18:15.4655897Z test_preserve_qconfig (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4656217Z Test to make sure the temporary config option to preserve qconfig attributes ... ok (0.025s) 2022-11-23T01:18:15.4656543Z test_preserve_tuple (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4656824Z Test tuple input type is preserved ... ok (0.015s) 2022-11-23T01:18:15.4657160Z test_propagate_dtypes_for_known_nodes_dict_args (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.027s) 2022-11-23T01:18:15.4657562Z test_propagate_dtypes_for_known_nodes_dict_split_tuple_args (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.027s) 2022-11-23T01:18:15.4657976Z test_propagate_dtypes_for_known_nodes_dict_tuple_args (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.028s) 2022-11-23T01:18:15.4658377Z test_propagate_dtypes_for_known_nodes_list_args (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.026s) 2022-11-23T01:18:15.4658922Z test_propagate_dtypes_for_known_nodes_split_list_args (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.028s) 2022-11-23T01:18:15.4659346Z test_propagate_dtypes_for_known_nodes_split_tuple_args (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.027s) 2022-11-23T01:18:15.4659749Z test_propagate_dtypes_for_known_nodes_tuple_args (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.027s) 2022-11-23T01:18:15.4660181Z test_qat_and_script (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.199s) 2022-11-23T01:18:15.4660664Z test_qat_prepare_device_affinity (quantization.fx.test_quantize_fx.TestQuantizeFx) ... skip: multi-GPU not supported (0.000s) 2022-11-23T01:18:15.4661050Z test_qat_skip_untraced (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.030s) 2022-11-23T01:18:15.4661402Z test_qconfig_dict_setup (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.189s) 2022-11-23T01:18:15.4661760Z test_qconfig_dict_with_fused_modules (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.127s) 2022-11-23T01:18:15.4662106Z test_qconfig_for_call_func (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.033s) 2022-11-23T01:18:15.4662496Z test_qconfig_for_call_method (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.063s) 2022-11-23T01:18:15.4662842Z test_qconfig_function (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.021s) 2022-11-23T01:18:15.4663196Z test_qconfig_mapping_from_dict (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.002s) 2022-11-23T01:18:15.4663545Z test_qconfig_mapping_set_global (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.001s) 2022-11-23T01:18:15.4663916Z test_qconfig_mapping_set_module_name (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.002s) 2022-11-23T01:18:15.4664301Z test_qconfig_mapping_set_module_name_object_type_order (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.004s) 2022-11-23T01:18:15.4664683Z test_qconfig_mapping_set_module_name_regex (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.003s) 2022-11-23T01:18:15.4665064Z test_qconfig_mapping_set_object_type (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.003s) 2022-11-23T01:18:15.4665428Z test_qconfig_mapping_to_dict (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.002s) 2022-11-23T01:18:15.4665799Z test_qconfig_module_name_object_type_order (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.081s) 2022-11-23T01:18:15.4666155Z test_qconfig_module_name_regex (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.150s) 2022-11-23T01:18:15.4666507Z test_qconfig_module_type (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.027s) 2022-11-23T01:18:15.4666842Z test_qconfig_none (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.022s) 2022-11-23T01:18:15.4667251Z test_qconfig_precedence (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.022s) 2022-11-23T01:18:15.4667593Z test_qconfig_qat_module_type (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.035s) 2022-11-23T01:18:15.4667942Z test_qnnpack_backend_config (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4668303Z Test whether default QNNPACK QConfigs are compatible with the QNNPACK BackendConfig. ... ok (1.515s) 2022-11-23T01:18:15.4668644Z test_qparams_buffers (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.049s) 2022-11-23T01:18:15.4668971Z test_qparams_fqn (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4669265Z Test that the FQN of input_scale/zero_point is set ... ok (0.032s) 2022-11-23T01:18:15.4669578Z test_quant_output_always_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4669881Z If the output is hardcoded to be quantized, ensure that ... ok (0.109s) 2022-11-23T01:18:15.4670211Z test_quantized_input_fp32_output (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.023s) 2022-11-23T01:18:15.4670584Z test_quantized_input_quantized_output (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.023s) 2022-11-23T01:18:15.4670924Z test_quantized_model_type (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4671246Z Test state_dict and deepcopy works properly in the quantized model ... ok (0.042s) 2022-11-23T01:18:15.4671564Z test_ref_conv_module (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4671896Z Make sure the numerics for models with ref conv module ... ok (0.161s) 2022-11-23T01:18:15.4672186Z test_ref_linear_module (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4672489Z Make sure the numerics for models with ref linear module ... ok (0.053s) 2022-11-23T01:18:15.4672804Z test_register_patterns (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.003s) 2022-11-23T01:18:15.4673130Z test_relu_lowering (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.023s) 2022-11-23T01:18:15.4673463Z test_remove_qconfig (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.019s) 2022-11-23T01:18:15.4673825Z test_repeat_nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.028s) 2022-11-23T01:18:15.4674215Z test_reroute_tuple_getitem_patterns (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4674552Z The following graph should redirect the output to `b`. After the transformation, ... ok (0.003s) 2022-11-23T01:18:15.4674918Z test_reshape_nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.027s) 2022-11-23T01:18:15.4675274Z test_return_none (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.016s) 2022-11-23T01:18:15.4675601Z test_reuse_input_qconfig (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.139s) 2022-11-23T01:18:15.4675954Z test_save_observer_state_dict (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.726s) 2022-11-23T01:18:15.4676300Z test_sequential (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.440s) 2022-11-23T01:18:15.4676640Z test_shape_followed_by_quantized_op (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4676932Z Make sure that shape does not dequantize ... ok (0.028s) 2022-11-23T01:18:15.4677251Z test_size_nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.021s) 2022-11-23T01:18:15.4677623Z test_stack_trace_preserved_linear (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.027s) 2022-11-23T01:18:15.4677999Z test_standalone_module_float_interface (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.239s) 2022-11-23T01:18:15.4678373Z test_standalone_module_quantized_interface (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.119s) 2022-11-23T01:18:15.4678718Z test_state_dict (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4679005Z Make sure packed params appear in state_dict ... ok (0.090s) 2022-11-23T01:18:15.4679280Z test_static_lstm (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4679616Z Test statically quantized custom module LSTM followed by ops that consume individual ... ok (0.250s) 2022-11-23T01:18:15.4679964Z test_static_lstm_consume_tuple (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4680306Z Test statically quantized custom module LSTM followed by a module that consumes the ... ok (0.234s) 2022-11-23T01:18:15.4680647Z test_static_lstm_with_custom_fixed_qparams (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4680999Z Test statically quantized LSTM with custom fixed qparams assigned to each of the ... ok (0.072s) 2022-11-23T01:18:15.4681336Z test_sub_scalar (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.023s) 2022-11-23T01:18:15.4681668Z test_symmetric_qnnpack_qconfig_mapping (quantization.fx.test_quantize_fx.TestQuantizeFx) 2022-11-23T01:18:15.4682048Z Test whether `torch.ao.quantization.qconfig_mapping._get_symmetric_qnnpack_qconfig_mapping` ... ok (0.450s) 2022-11-23T01:18:15.4682448Z test_torch_transpose_nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.028s) 2022-11-23T01:18:15.4682841Z test_torch_unsqueeze_nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.024s) 2022-11-23T01:18:15.4683204Z test_trace_quantize_per_tensor (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.020s) 2022-11-23T01:18:15.4683609Z test_transpose_nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.024s) 2022-11-23T01:18:15.4683995Z test_unsqueeze__nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.025s) 2022-11-23T01:18:15.4684375Z test_unsqueeze_nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.023s) 2022-11-23T01:18:15.4684742Z test_view_nontensor_args_not_observed (quantization.fx.test_quantize_fx.TestQuantizeFx) ... ok (0.025s) 2022-11-23T01:18:15.4685106Z test_model_dropout (quantization.fx.test_quantize_fx.TestQuantizeFxModels) ... ok (1.767s) 2022-11-23T01:18:15.4685521Z test_prepare_serialize_switch_device_convert (quantization.fx.test_quantize_fx.TestQuantizeFxModels) ... skip: gpu is not available. (0.001s) 2022-11-23T01:18:15.4685966Z test_qat_embedding_linear (quantization.fx.test_quantize_fx.TestQuantizeFxModels) ... ok (0.703s) 2022-11-23T01:18:15.4686331Z test_qat_embeddingbag_linear (quantization.fx.test_quantize_fx.TestQuantizeFxModels) ... ok (0.605s) 2022-11-23T01:18:15.4686706Z test_qat_functional_linear (quantization.fx.test_quantize_fx.TestQuantizeFxModels) ... ok (0.297s) 2022-11-23T01:18:15.4687308Z test_resnet18_ddp (quantization.fx.test_quantize_fx.TestQuantizeFxModels) ... skip: TODO: Test is always failing - https://github.com/pytorch/pytorch/issues/54979 (0.001s) 2022-11-23T01:18:15.4687734Z test_resnet_base (quantization.fx.test_quantize_fx.TestQuantizeFxModels) ... ok (1.051s) 2022-11-23T01:18:15.4688129Z test_static_gpu_convert_basic (quantization.fx.test_quantize_fx.TestQuantizeFxModels) ... skip: gpu is not available. (0.001s) 2022-11-23T01:18:15.4688568Z test_switch_device_prepare_convert (quantization.fx.test_quantize_fx.TestQuantizeFxModels) ... skip: gpu is not available. (0.001s) 2022-11-23T01:18:15.4689001Z test_torchvision (quantization.fx.test_quantize_fx.TestQuantizeFxModels) ... skip: skip for now since tbb failed (0.002s) 2022-11-23T01:18:15.4689363Z test_add (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (7.579s) 2022-11-23T01:18:15.4689697Z test_add_relu (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (7.908s) 2022-11-23T01:18:15.4690059Z test_add_relu_multiple_uses_of_relu (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.039s) 2022-11-23T01:18:15.4690422Z test_ave_pool_with_custom_cfg (quantization.fx.test_quantize_fx.TestQuantizeFxOps) 2022-11-23T01:18:15.4690727Z A test that checks correct patterns are produced for ... ok (0.019s) 2022-11-23T01:18:15.4691111Z test_bmm (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... skip: This is no longer needed right now, can enable later with new api (0.001s) 2022-11-23T01:18:15.4691502Z test_bmm_int_reference (quantization.fx.test_quantize_fx.TestQuantizeFxOps) 2022-11-23T01:18:15.4691882Z int8 is not supported for bmm so we won't produce reference ... ok (0.014s) 2022-11-23T01:18:15.4692180Z test_boolean_tensor (quantization.fx.test_quantize_fx.TestQuantizeFxOps) 2022-11-23T01:18:15.4692546Z Make sure we don't insert observer for boolean Tensors ... ok (0.017s) 2022-11-23T01:18:15.4692839Z test_cat (quantization.fx.test_quantize_fx.TestQuantizeFxOps) 2022-11-23T01:18:15.4693119Z quantization of the output of cat will depend on the ... ok (0.571s) 2022-11-23T01:18:15.4693426Z test_chunk (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.021s) 2022-11-23T01:18:15.4693758Z test_clamp (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (1.748s) 2022-11-23T01:18:15.4694083Z test_conv_module (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.539s) 2022-11-23T01:18:15.4694426Z test_conv_transpose_1d (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.605s) 2022-11-23T01:18:15.4694778Z test_conv_transpose_2d (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.166s) 2022-11-23T01:18:15.4695122Z test_copy_node_fp32_input (quantization.fx.test_quantize_fx.TestQuantizeFxOps) 2022-11-23T01:18:15.4695505Z CopyNode works for both fp32 and int8 inputs, this is a test to make ... ok (0.018s) 2022-11-23T01:18:15.4695899Z test_div (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... skip: This is no longer needed right now, can enable later with new api (0.000s) 2022-11-23T01:18:15.4696287Z test_elu (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.802s) 2022-11-23T01:18:15.4696623Z test_embedding (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.086s) 2022-11-23T01:18:15.4696956Z test_embedding_bag (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.079s) 2022-11-23T01:18:15.4697313Z test_fixed_qparams_ops (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.336s) 2022-11-23T01:18:15.4697706Z test_fixed_qparams_ops_fp16 (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.038s) 2022-11-23T01:18:15.4698057Z test_fixed_qparams_ops_qint8 (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.050s) 2022-11-23T01:18:15.4698422Z test_fixed_qparams_ops_wrong_qconfig (quantization.fx.test_quantize_fx.TestQuantizeFxOps) 2022-11-23T01:18:15.4700208Z Test that wrong qconfigs for fixed qparams ops results in the ops not being quantized. ... /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fx/utils.py:1025: UserWarning: QConfig must specify a FixedQParamsObserver or a FixedQParamsFakeQuantize for fixed qparams ops, ignoring QConfig(activation=functools.partial(, quant_min=0, quant_max=127){'factory_kwargs': .get_factory_kwargs_based_on_module_device at 0x7fecf241a7a0>}, weight=functools.partial(, dtype=torch.qint8, qscheme=torch.per_tensor_symmetric){'factory_kwargs': .get_factory_kwargs_based_on_module_device at 0x7fecf241a7a0>}). 2022-11-23T01:18:15.4701342Z Please use torch.ao.quantization.get_default_qconfig_mapping or torch.ao.quantization.get_default_qat_qconfig_mapping. Example: 2022-11-23T01:18:15.4701707Z qconfig_mapping = get_default_qconfig_mapping("fbgemm") 2022-11-23T01:18:15.4701985Z model = prepare_fx(model, qconfig_mapping, example_inputs) 2022-11-23T01:18:15.4702261Z "for fixed qparams ops, ignoring %s.\n%s") % (qconfig, suggestion_str)) 2022-11-23T01:18:15.4703710Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fx/utils.py:1025: UserWarning: QConfig must specify a FixedQParamsObserver or a FixedQParamsFakeQuantize for fixed qparams ops, ignoring QConfig(activation=functools.partial(, quant_min=0, quant_max=127){'factory_kwargs': .get_factory_kwargs_based_on_module_device at 0x7fecf241ac20>}, weight=functools.partial(, dtype=torch.qint8, qscheme=torch.per_tensor_symmetric){'factory_kwargs': .get_factory_kwargs_based_on_module_device at 0x7fecf241ac20>}). 2022-11-23T01:18:15.4704768Z Please use torch.ao.quantization.get_default_qconfig_mapping or torch.ao.quantization.get_default_qat_qconfig_mapping. Example: 2022-11-23T01:18:15.4705128Z qconfig_mapping = get_default_qconfig_mapping("fbgemm") 2022-11-23T01:18:15.4705401Z model = prepare_fx(model, qconfig_mapping, example_inputs) 2022-11-23T01:18:15.4705677Z "for fixed qparams ops, ignoring %s.\n%s") % (qconfig, suggestion_str)) 2022-11-23T01:18:15.4707251Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fx/utils.py:1025: UserWarning: QConfig must specify a FixedQParamsObserver or a FixedQParamsFakeQuantize for fixed qparams ops, ignoring QConfig(activation=functools.partial(, quant_min=0, quant_max=127){'factory_kwargs': .get_factory_kwargs_based_on_module_device at 0x7fecf241aa70>}, weight=functools.partial(, dtype=torch.qint8, qscheme=torch.per_tensor_symmetric){'factory_kwargs': .get_factory_kwargs_based_on_module_device at 0x7fecf241aa70>}). 2022-11-23T01:18:15.4708296Z Please use torch.ao.quantization.get_default_qconfig_mapping or torch.ao.quantization.get_default_qat_qconfig_mapping. Example: 2022-11-23T01:18:15.4708657Z qconfig_mapping = get_default_qconfig_mapping("fbgemm") 2022-11-23T01:18:15.4708933Z model = prepare_fx(model, qconfig_mapping, example_inputs) 2022-11-23T01:18:15.4709207Z "for fixed qparams ops, ignoring %s.\n%s") % (qconfig, suggestion_str)) 2022-11-23T01:18:15.4710716Z /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fx/utils.py:1025: UserWarning: QConfig must specify a FixedQParamsObserver or a FixedQParamsFakeQuantize for fixed qparams ops, ignoring QConfig(activation=functools.partial(, quant_min=0, quant_max=127){'factory_kwargs': .get_factory_kwargs_based_on_module_device at 0x7fecf241a170>}, weight=functools.partial(, dtype=torch.qint8, qscheme=torch.per_tensor_symmetric){'factory_kwargs': .get_factory_kwargs_based_on_module_device at 0x7fecf241a170>}). 2022-11-23T01:18:15.4711774Z Please use torch.ao.quantization.get_default_qconfig_mapping or torch.ao.quantization.get_default_qat_qconfig_mapping. Example: 2022-11-23T01:18:15.4712136Z qconfig_mapping = get_default_qconfig_mapping("fbgemm") 2022-11-23T01:18:15.4712413Z model = prepare_fx(model, qconfig_mapping, example_inputs) 2022-11-23T01:18:15.4712693Z "for fixed qparams ops, ignoring %s.\n%s") % (qconfig, suggestion_str)) 2022-11-23T01:18:15.4712926Z ok (0.031s) 2022-11-23T01:18:15.4713195Z test_float_functional (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.100s) 2022-11-23T01:18:15.4713555Z test_functional_conv (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (7.883s) 2022-11-23T01:18:15.4713902Z test_functional_linear (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (10.564s) 2022-11-23T01:18:15.4714300Z test_gelu_normal (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... skip: TODO: reenable with backend_config api (0.001s) 2022-11-23T01:18:15.4714757Z test_gelu_reference (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... skip: This is no longer needed right now, can enable later with new api (0.001s) 2022-11-23T01:18:15.4715152Z test_general_shape_ops (quantization.fx.test_quantize_fx.TestQuantizeFxOps) 2022-11-23T01:18:15.4715469Z A test that checks dequantize will be swapped for ... ok (0.370s) 2022-11-23T01:18:15.4715780Z test_general_value_ops (quantization.fx.test_quantize_fx.TestQuantizeFxOps) 2022-11-23T01:18:15.4716090Z A test that checks correct patterns are produced for ... ok (0.071s) 2022-11-23T01:18:15.4716383Z test_getitem (quantization.fx.test_quantize_fx.TestQuantizeFxOps) 2022-11-23T01:18:15.4716711Z Make sure we only insert observer for getitem if the following node is matched ... ok (0.050s) 2022-11-23T01:18:15.4717054Z test_hardswish (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.747s) 2022-11-23T01:18:15.4717388Z test_instance_norm (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (1.355s) 2022-11-23T01:18:15.4717742Z test_int8_input_no_unnecessary_fq (quantization.fx.test_quantize_fx.TestQuantizeFxOps) 2022-11-23T01:18:15.4718064Z If the inputs to the graph are quantized and the only node ... ok (0.017s) 2022-11-23T01:18:15.4718381Z test_layer_norm (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.487s) 2022-11-23T01:18:15.4718708Z test_leaky_relu (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.795s) 2022-11-23T01:18:15.4719059Z test_linear_dynamic_fp16 (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.425s) 2022-11-23T01:18:15.4719455Z test_linear_module (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (3.381s) 2022-11-23T01:18:15.4719798Z test_linear_static_fp16 (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.441s) 2022-11-23T01:18:15.4720223Z test_mish_reference (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... skip: This is no longer needed right now, can enable later with new api (0.001s) 2022-11-23T01:18:15.4720630Z test_mul (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (5.923s) 2022-11-23T01:18:15.4720960Z test_mul_relu (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (5.930s) 2022-11-23T01:18:15.4721296Z test_multiple_qconfigs_for_single_value (quantization.fx.test_quantize_fx.TestQuantizeFxOps) 2022-11-23T01:18:15.4721643Z Test multiple qconfigs for a single value ... ok (0.023s) 2022-11-23T01:18:15.4722435Z test_norm_weight_bias (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py:1346: UserWarning: Node mods1_packed_weight_0 target mods1_packed_weight_0 mods1_packed_weight_0 of does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target 2022-11-23T01:18:15.4723071Z warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does ' 2022-11-23T01:18:15.4723294Z ok (0.327s) 2022-11-23T01:18:15.4723544Z test_prelu (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.365s) 2022-11-23T01:18:15.4723879Z test_qbatch_norm (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.509s) 2022-11-23T01:18:15.4724226Z test_qbatch_norm_relu (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (1.745s) 2022-11-23T01:18:15.4724555Z test_qmatmul (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.111s) 2022-11-23T01:18:15.4724898Z test_quantized_add_qat (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.029s) 2022-11-23T01:18:15.4725241Z test_quantized_conv_relu (quantization.fx.test_quantize_fx.TestQuantizeFxOps) 2022-11-23T01:18:15.4725530Z tests for conv1d_relu/conv2d_relu/conv3d_relu ... ok (1.775s) 2022-11-23T01:18:15.4725837Z test_quantized_mul_qat (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.029s) 2022-11-23T01:18:15.4726190Z test_ref_pattern_multi_use (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.025s) 2022-11-23T01:18:15.4726540Z test_reshape_fp16 (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (0.029s) 2022-11-23T01:18:15.4726860Z test_rnn (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (4.110s) 2022-11-23T01:18:15.4727187Z test_rnn_cell (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... ok (2.629s) 2022-11-23T01:18:15.4727606Z test_silu_reference (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... skip: This is no longer needed right now, can enable later with new api (0.001s) 2022-11-23T01:18:15.4728063Z test_softmax_normal (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... skip: TODO: reenable with backend_config api (0.000s) 2022-11-23T01:18:15.4728512Z test_softmax_reference (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... skip: This is no longer needed right now, can enable later with new api (0.001s) 2022-11-23T01:18:15.4728977Z test_sub (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... skip: This is no longer needed right now, can enable later with new api (0.000s) 2022-11-23T01:18:15.4729421Z test_sum (quantization.fx.test_quantize_fx.TestQuantizeFxOps) ... skip: This is no longer needed right now, can enable later with new api (0.001s) 2022-11-23T01:18:15.4729803Z test_conv (quantization.jit.test_quantize_jit.TestQuantizeJit) ... ok (2.257s) 2022-11-23T01:18:15.4730123Z test_conv_bn (quantization.jit.test_quantize_jit.TestQuantizeJit) ... ok (0.376s) 2022-11-23T01:18:15.4730651Z test_conv_transpose (quantization.jit.test_quantize_jit.TestQuantizeJit) ... [W insert_observers.cpp:1580] Warning: prim::Loop is not yet supported in quantization, please make sure nothing needs to be quantized in the loop (function operator()) 2022-11-23T01:18:15.4731089Z ok (0.589s) 2022-11-23T01:18:15.4731444Z test_linear_dynamic_fp16 (quantization.jit.test_quantize_jit.TestQuantizeJit) ... [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:18:15.4731868Z [W QuantUtils.h:215] Warning: FOUND weight out of range (function HandleWeightsSaturation) 2022-11-23T01:18:15.4732117Z ok (0.032s) 2022-11-23T01:18:15.4733340Z test_nested (quantization.jit.test_quantize_jit.TestQuantizeJit) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py:806: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.) 2022-11-23T01:18:15.4734163Z if param.grad is not None: 2022-11-23T01:18:15.4734346Z ok (1.230s) 2022-11-23T01:18:15.4734597Z test_observer_with_ignored_function (quantization.jit.test_quantize_jit.TestQuantizeJit) 2022-11-23T01:18:15.4734932Z Test observers with ignored function and make sure it works in ... ok (1.136s) 2022-11-23T01:18:15.4735688Z test_single_linear (quantization.jit.test_quantize_jit.TestQuantizeJit) ... /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:216: UserWarning: Please use quant_min and quant_max to specify the range for observers. reduce_range will be deprecated in a future release of PyTorch. 2022-11-23T01:18:15.4736211Z reduce_range will be deprecated in a future release of PyTorch." 2022-11-23T01:18:15.4736421Z ok (3.716s) 2022-11-23T01:18:15.4736689Z test_single_linear_dynamic (quantization.jit.test_quantize_jit.TestQuantizeJit) ... ok (0.156s) 2022-11-23T01:18:15.4737042Z test_skip_quant (quantization.jit.test_quantize_jit.TestQuantizeJit) ... ok (5.216s) 2022-11-23T01:18:15.4737375Z test_cat_linear (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (0.082s) 2022-11-23T01:18:15.4737725Z test_clamp (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (4.140s) 2022-11-23T01:18:15.4738090Z test_conv_with_benchmark_flag (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (0.285s) 2022-11-23T01:18:15.4738438Z test_dequantize_tuple (quantization.jit.test_quantize_jit.TestQuantizeJitOps) 2022-11-23T01:18:15.4738890Z Make sure dequantize can support Tuple of tensor ... ok (1.324s) 2022-11-23T01:18:15.4739218Z test_elu (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (15.772s) 2022-11-23T01:18:15.4739563Z test_general_shape_ops (quantization.jit.test_quantize_jit.TestQuantizeJitOps) 2022-11-23T01:18:15.4739866Z A test that checks dequantize will be swapped for ... ok (0.126s) 2022-11-23T01:18:15.4740186Z test_general_value_ops (quantization.jit.test_quantize_jit.TestQuantizeJitOps) 2022-11-23T01:18:15.4740503Z A test that checks correct patterns are produced for ... ok (0.350s) 2022-11-23T01:18:15.4740814Z test_group_norm (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (11.918s) 2022-11-23T01:18:15.4741166Z test_hardswish (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (11.783s) 2022-11-23T01:18:15.4741659Z test_instance_norm (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:18:15.4742180Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:18:15.4742679Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:18:15.4743093Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:18:15.4743526Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:18:15.4743959Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:18:15.4744417Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:18:15.4744827Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:18:15.4745246Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:18:15.4745667Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:18:15.4746094Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:18:15.4746518Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:18:15.4746921Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:18:15.4747423Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:18:15.4747841Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:18:15.4748256Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:18:15.4748663Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:18:15.4749088Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:18:15.4749514Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:18:15.4749934Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:18:15.4750340Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:18:15.4750755Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:18:15.4751180Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:18:15.4751633Z [W observer.py:1204] Warning: must run observer before calling calculate_qparams. Returning default scale and zero point (function ) 2022-11-23T01:18:15.4751920Z ok (12.075s) 2022-11-23T01:18:15.4752170Z test_layer_norm (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (12.235s) 2022-11-23T01:18:15.4752522Z test_linear (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (13.734s) 2022-11-23T01:18:15.4752869Z test_qbatch_norm (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (8.622s) 2022-11-23T01:18:15.4753242Z test_qbatch_norm_relu_BNFuncInplaceRelu (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (5.696s) 2022-11-23T01:18:15.4753643Z test_qbatch_norm_relu_BNFuncRelu (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (5.654s) 2022-11-23T01:18:15.4754055Z test_qbatch_norm_relu_BNRelu (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (11.449s) 2022-11-23T01:18:15.4754423Z test_quantized_add (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (4.496s) 2022-11-23T01:18:15.4754767Z test_quantized_add_alpha (quantization.jit.test_quantize_jit.TestQuantizeJitOps) 2022-11-23T01:18:15.4755089Z Test quant fusion for multiple aten::add using same ... ok (1.909s) 2022-11-23T01:18:15.4755419Z test_quantized_add_relu (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (10.335s) 2022-11-23T01:18:15.4755768Z test_quantized_add_relu_alpha (quantization.jit.test_quantize_jit.TestQuantizeJitOps) 2022-11-23T01:18:15.4756092Z Test quant fusion for multiple aten::add using same ... ok (21.154s) 2022-11-23T01:18:15.4756422Z test_quantized_add_scalar (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (2.548s) 2022-11-23T01:18:15.4756803Z test_quantized_add_scalar_relu (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (6.697s) 2022-11-23T01:18:15.4757146Z test_quantized_cat (quantization.jit.test_quantize_jit.TestQuantizeJitOps) 2022-11-23T01:18:15.4757459Z quantization of the output of cat will be depend on the ... ok (1.866s) 2022-11-23T01:18:15.4757784Z test_quantized_conv (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (3.553s) 2022-11-23T01:18:15.4758125Z test_quantized_conv_relu (quantization.jit.test_quantize_jit.TestQuantizeJitOps) 2022-11-23T01:18:15.4758428Z tests for conv1d_relu/conv2d_relu/conv3d_relu ... ok (14.628s) 2022-11-23T01:18:15.4758742Z test_quantized_mul (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (1.948s) 2022-11-23T01:18:15.4759107Z test_quantized_mul_relu (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (10.185s) 2022-11-23T01:18:15.4759466Z test_quantized_mul_scalar (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (1.962s) 2022-11-23T01:18:15.4759847Z test_quantized_mul_scalar_relu (quantization.jit.test_quantize_jit.TestQuantizeJitOps) ... ok (6.211s) 2022-11-23T01:18:15.4760214Z test_conv_trace (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.058s) 2022-11-23T01:18:15.4760588Z test_convtranspose_trace (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.058s) 2022-11-23T01:18:15.4760966Z test_dedup_module_uses (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.007s) 2022-11-23T01:18:15.4761337Z test_finalize_debug (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.084s) 2022-11-23T01:18:15.4761710Z test_finalize_for_linear (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.082s) 2022-11-23T01:18:15.4762079Z test_foldbn_complex_cases (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.913s) 2022-11-23T01:18:15.4762458Z test_foldbn_in_submodule (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.072s) 2022-11-23T01:18:15.4762827Z test_foldbn_no_fusion (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) 2022-11-23T01:18:15.4780225Z Test that we don't fuse the cases when module type does not match ... ok (0.008s) 2022-11-23T01:18:15.4780695Z test_foldbn_shared_classtype (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.600s) 2022-11-23T01:18:15.4781232Z test_foldbn_trivial (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.058s) 2022-11-23T01:18:15.4781623Z test_foldbn_trivial_nobias (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.058s) 2022-11-23T01:18:15.4782001Z test_fuse_linear (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.042s) 2022-11-23T01:18:15.4782183Z test_inplace_option (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.185s) 2022-11-23T01:18:15.4782364Z test_insert_observers (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.034s) 2022-11-23T01:18:15.4782607Z test_insert_observers_child_qconfig (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.042s) 2022-11-23T01:18:15.4782793Z test_insert_observers_for_general_ops (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) 2022-11-23T01:18:15.4783034Z Make sure we skip observers for ops that doesn't require ... ok (0.035s) 2022-11-23T01:18:15.4783223Z test_insert_observers_for_if (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.117s) 2022-11-23T01:18:15.4783422Z test_insert_observers_for_if_consistent_observation (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) 2022-11-23T01:18:15.4783540Z check quantization for if works as long as ... ok (0.314s) 2022-11-23T01:18:15.4783734Z test_insert_observers_for_nested_if (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.115s) 2022-11-23T01:18:15.4783934Z test_insert_observers_for_reused_weight (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.029s) 2022-11-23T01:18:15.4784128Z test_insert_observers_interface (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.046s) 2022-11-23T01:18:15.4784321Z test_insert_observers_interface_unshare_type (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.137s) 2022-11-23T01:18:15.4784515Z test_insert_observers_propagate_observed (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) 2022-11-23T01:18:15.4784667Z Make sure we propagate observed property through general ops ... ok (0.041s) 2022-11-23T01:18:15.4784883Z test_insert_observers_propagate_observed_for_function (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.049s) 2022-11-23T01:18:15.4785088Z test_insert_observers_propagate_observed_in_submodule (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) 2022-11-23T01:18:15.4785236Z Make sure we propagate observed property through general ops ... ok (0.045s) 2022-11-23T01:18:15.4785434Z test_insert_observers_shared_class_type (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.040s) 2022-11-23T01:18:15.4785627Z test_insert_observers_skip_values (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.142s) 2022-11-23T01:18:15.4785822Z test_insert_observers_weight_dtype (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.034s) 2022-11-23T01:18:15.4785995Z test_insert_quant_dequant (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.166s) 2022-11-23T01:18:15.4786198Z test_insert_quant_dequant_shared_class_type (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.192s) 2022-11-23T01:18:15.4786380Z test_interface_with_fork (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.048s) 2022-11-23T01:18:15.4786552Z test_module_list (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.101s) 2022-11-23T01:18:15.4786720Z test_quantize_fork_wait (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) 2022-11-23T01:18:15.4786974Z Tests the case where fork and wait calls are in different subgraphs ... [W utils.py:311] Warning: must run observer before calling calculate_qparams. Returning default values. (function ) 2022-11-23T01:18:15.4787044Z ok (0.081s) 2022-11-23T01:18:15.4787326Z test_replicate_dequant_same_value (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.084s) 2022-11-23T01:18:15.4787557Z test_replicate_dequantize (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.009s) 2022-11-23T01:18:15.4787740Z test_replicate_dequantize_in_block (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.009s) 2022-11-23T01:18:15.4787917Z test_replicate_quantize_for_if (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) 2022-11-23T01:18:15.4788164Z We want to move quantize nodes for output of prim::If ... [W utils.py:311] Warning: must run observer before calling calculate_qparams. Returning default values. (function ) 2022-11-23T01:18:15.4788347Z [W utils.py:311] Warning: must run observer before calling calculate_qparams. Returning default values. (function ) 2022-11-23T01:18:15.4788551Z [W utils.py:311] Warning: must run observer before calling calculate_qparams. Returning default values. (function ) 2022-11-23T01:18:15.4788732Z [W utils.py:311] Warning: must run observer before calling calculate_qparams. Returning default values. (function ) 2022-11-23T01:18:15.4788797Z ok (0.101s) 2022-11-23T01:18:15.4788993Z test_skip_dequant_constant_prop (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.093s) 2022-11-23T01:18:15.4789178Z test_swap_functional_linear (quantization.jit.test_quantize_jit.TestQuantizeJitPasses) ... ok (0.008s) 2022-11-23T01:18:15.4789399Z test_benchmark (quantization.core.test_quantized_op.TestQuantizedConv) ... skip: used for local benchmarking, comment when we want to run it (0.003s) 2022-11-23T01:18:15.4789562Z test_qconv1d (quantization.core.test_quantized_op.TestQuantizedConv) ... ok (2.234s) 2022-11-23T01:18:15.4789759Z test_qconv1d_cudnn (quantization.core.test_quantized_op.TestQuantizedConv) ... skip: cudnn is not enabled. (0.007s) 2022-11-23T01:18:15.4789930Z test_qconv1d_unpack (quantization.core.test_quantized_op.TestQuantizedConv) ... ok (0.616s) 2022-11-23T01:18:15.4790091Z test_qconv2d (quantization.core.test_quantized_op.TestQuantizedConv) ... ok (6.752s) 2022-11-23T01:18:15.4790287Z test_qconv2d_cudnn (quantization.core.test_quantized_op.TestQuantizedConv) ... skip: cudnn is not enabled. (0.007s) 2022-11-23T01:18:15.4790457Z test_qconv2d_unpack (quantization.core.test_quantized_op.TestQuantizedConv) ... ok (0.852s) 2022-11-23T01:18:15.4790618Z test_qconv3d (quantization.core.test_quantized_op.TestQuantizedConv) ... ok (1.500s) 2022-11-23T01:18:15.4790786Z test_qconv3d_unpack (quantization.core.test_quantized_op.TestQuantizedConv) ... ok (0.525s) 2022-11-23T01:18:15.4790948Z test_qconv_transpose1d (quantization.core.test_quantized_op.TestQuantizedConv) ... ok (5.151s) 2022-11-23T01:18:15.4791221Z test_qconv_transpose2d (quantization.core.test_quantized_op.TestQuantizedConv) ... skip: this is broken without changes to any relevant code, we need to remove hypothesis testing in CI (0.004s) 2022-11-23T01:18:15.4791492Z test_qconv_transpose3d (quantization.core.test_quantized_op.TestQuantizedConv) ... skip: this is broken without changes to any relevant code, we need to remove hypothesis testing in CI (0.003s) 2022-11-23T01:18:15.4791679Z test_embedding (quantization.core.test_quantized_op.TestQuantizedEmbeddingOps) ... ok (0.154s) 2022-11-23T01:18:15.4791862Z test_embedding_2d_indices (quantization.core.test_quantized_op.TestQuantizedEmbeddingOps) 2022-11-23T01:18:15.4792003Z Tests the case where 2D indices are passed into the operator ... ok (0.003s) 2022-11-23T01:18:15.4792193Z test_embedding_bag_2bit (quantization.core.test_quantized_op.TestQuantizedEmbeddingOps) ... ok (0.137s) 2022-11-23T01:18:15.4792415Z test_embedding_bag_2bit_unpack (quantization.core.test_quantized_op.TestQuantizedEmbeddingOps) ... skip: Test needs Caffe2 (0.001s) 2022-11-23T01:18:15.4792605Z test_embedding_bag_2d_indices (quantization.core.test_quantized_op.TestQuantizedEmbeddingOps) 2022-11-23T01:18:15.4792732Z Tests the case where 2D indices are passed into the operator ... ok (0.003s) 2022-11-23T01:18:15.4792924Z test_embedding_bag_4bit (quantization.core.test_quantized_op.TestQuantizedEmbeddingOps) ... ok (0.143s) 2022-11-23T01:18:15.4793175Z test_embedding_bag_4bit_unpack (quantization.core.test_quantized_op.TestQuantizedEmbeddingOps) ... skip: Test needs Caffe2 (0.001s) 2022-11-23T01:18:15.4793369Z test_embedding_bag_byte (quantization.core.test_quantized_op.TestQuantizedEmbeddingOps) ... ok (0.149s) 2022-11-23T01:18:15.4793592Z test_embedding_bag_byte_unpack (quantization.core.test_quantized_op.TestQuantizedEmbeddingOps) ... skip: Test needs Caffe2 (0.001s) 2022-11-23T01:18:15.4793797Z test_conv1d_api (quantization.core.test_quantized_functional.TestQuantizedFunctionalOps) ... ok (0.606s) 2022-11-23T01:18:15.4794000Z test_conv2d_api (quantization.core.test_quantized_functional.TestQuantizedFunctionalOps) ... ok (0.505s) 2022-11-23T01:18:15.4794254Z test_conv3d_api (quantization.core.test_quantized_functional.TestQuantizedFunctionalOps) ... ok (0.163s) 2022-11-23T01:18:15.4794990Z test_grid_sample (quantization.core.test_quantized_functional.TestQuantizedFunctionalOps) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4232: UserWarning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details. 2022-11-23T01:18:15.4795119Z "Default grid_sample and affine_grid behavior has changed " 2022-11-23T01:18:15.4795173Z ok (0.068s) 2022-11-23T01:18:15.4795376Z test_relu_api (quantization.core.test_quantized_functional.TestQuantizedFunctionalOps) ... ok (0.002s) 2022-11-23T01:18:15.4795545Z test_qlinear (quantization.core.test_quantized_op.TestQuantizedLinear) ... ok (1.676s) 2022-11-23T01:18:15.4795751Z test_qlinear_cudnn (quantization.core.test_quantized_op.TestQuantizedLinear) ... skip: cudnn is not enabled. (0.008s) 2022-11-23T01:18:15.4795927Z test_qlinear_unpack (quantization.core.test_quantized_op.TestQuantizedLinear) ... ok (0.155s) 2022-11-23T01:18:15.4796101Z test_adaptive_avg_pool (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.636s) 2022-11-23T01:18:15.4796285Z test_adaptive_avg_pool2d_nhwc (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.083s) 2022-11-23T01:18:15.4796466Z test_adaptive_avg_pool3d_ndhwc (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.078s) 2022-11-23T01:18:15.4796634Z test_add_scalar_relu (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.209s) 2022-11-23T01:18:15.4796784Z test_advanced_indexing (quantization.core.test_quantized_op.TestQuantizedOps) 2022-11-23T01:18:15.4796923Z Verifies that the x[:, [0], :, :] syntax works for quantized tensors. ... ok (0.007s) 2022-11-23T01:18:15.4797077Z test_avg_pool2d (quantization.core.test_quantized_op.TestQuantizedOps) 2022-11-23T01:18:15.4797254Z Note: we currently cannot test the divisor_override, because quantized op will clamp the result ... ok (1.123s) 2022-11-23T01:18:15.4797409Z test_avg_pool2d_nhwc (quantization.core.test_quantized_op.TestQuantizedOps) 2022-11-23T01:18:15.4797591Z Note: 1) we currently cannot test the divisor_override, because quantized op will clamp the result ... ok (1.337s) 2022-11-23T01:18:15.4797742Z test_avg_pool3d (quantization.core.test_quantized_op.TestQuantizedOps) 2022-11-23T01:18:15.4797917Z Note: we currently cannot test the divisor_override, because quantized op will clamp the result ... ok (4.973s) 2022-11-23T01:18:15.4798071Z test_avg_pool3d_nhwc (quantization.core.test_quantized_op.TestQuantizedOps) 2022-11-23T01:18:15.4798236Z Note: 1) we currently cannot test the divisor_override, because quantized op will clamp the result ... ok (7.221s) 2022-11-23T01:18:15.4798399Z test_batch_norm (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.591s) 2022-11-23T01:18:15.4798570Z test_batch_norm_relu (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.528s) 2022-11-23T01:18:15.4798725Z test_cat (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.397s) 2022-11-23T01:18:15.4798912Z test_cat_nhwc (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.322s) 2022-11-23T01:18:15.4799080Z test_channel_shuffle (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (2.450s) 2022-11-23T01:18:15.4799250Z test_custom_module_lstm (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (60.979s) 2022-11-23T01:18:15.4799839Z test_custom_module_multi_head_attention (quantization.core.test_quantized_op.TestQuantizedOps) ... /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/observer.py:1206: UserWarning: must run observer before calling calculate_qparams. Returning default scale and zero point 2022-11-23T01:18:15.4799973Z Returning default scale and zero point " 2022-11-23T01:18:15.4800027Z ok (12.314s) 2022-11-23T01:18:15.4800531Z test_empty_batch (quantization.core.test_quantized_op.TestQuantizedOps) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4018: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead. 2022-11-23T01:18:15.4800730Z warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.") 2022-11-23T01:18:15.4800796Z ok (0.011s) 2022-11-23T01:18:15.4800953Z test_equal (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.218s) 2022-11-23T01:18:15.4801115Z test_group_norm (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (6.781s) 2022-11-23T01:18:15.4801276Z test_hardswish (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.591s) 2022-11-23T01:18:15.4801436Z test_hardtanh (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.571s) 2022-11-23T01:18:15.4801591Z test_instance_norm (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (1.591s) 2022-11-23T01:18:15.4801745Z test_interpolate (quantization.core.test_quantized_op.TestQuantizedOps) 2022-11-23T01:18:15.4801888Z This test cover upsample_nearest2d and upsample_bilinear2d ... ok (3.115s) 2022-11-23T01:18:15.4802046Z test_interpolate3d (quantization.core.test_quantized_op.TestQuantizedOps) 2022-11-23T01:18:15.4802156Z This test cover upsample_nearest3d ... ok (18.514s) 2022-11-23T01:18:15.4802316Z test_leaky_relu (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.033s) 2022-11-23T01:18:15.4802498Z test_leaky_relu_observed_output (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.656s) 2022-11-23T01:18:15.4802671Z test_linear_bias_unpack (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.003s) 2022-11-23T01:18:15.4802829Z test_max_pool1d (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.283s) 2022-11-23T01:18:15.4802982Z test_max_pool2d (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.663s) 2022-11-23T01:18:15.4803178Z test_max_pool2d_cudnn (quantization.core.test_quantized_op.TestQuantizedOps) ... skip: cudnn is not enabled. (0.006s) 2022-11-23T01:18:15.4803344Z test_max_pool2d_nhwc (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.617s) 2022-11-23T01:18:15.4803503Z test_mean (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.440s) 2022-11-23T01:18:15.4803668Z test_mul_scalar_relu (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.255s) 2022-11-23T01:18:15.4804218Z test_qadd_broadcast (quantization.core.test_quantized_op.TestQuantizedOps) ... [W Resize.cpp:31] Warning: An output with one or more elements was resized since it had shape [1, 1, 4, 4], which does not match the required output shape [2, 1, 4, 4]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (function resize_output_check) 2022-11-23T01:18:15.4804288Z ok (0.002s) 2022-11-23T01:18:15.4804486Z test_qadd_relu_cudnn (quantization.core.test_quantized_op.TestQuantizedOps) ... skip: cudnn is not enabled. (0.001s) 2022-11-23T01:18:15.4804747Z test_qadd_relu_cudnn_nhwc (quantization.core.test_quantized_op.TestQuantizedOps) ... skip: cudnn is not enabled. (0.001s) 2022-11-23T01:18:15.4804933Z test_qadd_relu_different_qparams (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.006s) 2022-11-23T01:18:15.4805101Z test_qadd_relu_same_qparams (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.006s) 2022-11-23T01:18:15.4805258Z test_qcelu (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.145s) 2022-11-23T01:18:15.4805417Z test_qclamp (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.780s) 2022-11-23T01:18:15.4805572Z test_qelu (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.336s) 2022-11-23T01:18:15.4805755Z test_qgelu (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.057s) 2022-11-23T01:18:15.4805923Z test_qhardsigmoid (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.464s) 2022-11-23T01:18:15.4806087Z test_qlayer_norm (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.097s) 2022-11-23T01:18:15.4806248Z test_qmatmul (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.194s) 2022-11-23T01:18:15.4806401Z test_qmul_broadcast (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.002s) 2022-11-23T01:18:15.4806584Z test_qmul_relu_different_qparams (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.006s) 2022-11-23T01:18:15.4806761Z test_qmul_relu_same_qparams (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.443s) 2022-11-23T01:18:15.4806920Z test_qprelu (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.047s) 2022-11-23T01:18:15.4807078Z test_qrelu (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (1.952s) 2022-11-23T01:18:15.4807232Z test_qrelu6 (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.248s) 2022-11-23T01:18:15.4807394Z test_qsoftmax (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.167s) 2022-11-23T01:18:15.4807568Z test_qsoftmax_qnnpack (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (3.235s) 2022-11-23T01:18:15.4807828Z test_qtanh (quantization.core.test_quantized_op.TestQuantizedOps) ... skip: this is broken without changes to any relevant code, we need to remove hypothesis testing in CI (0.006s) 2022-11-23T01:18:15.4807982Z test_qthreshold (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.167s) 2022-11-23T01:18:15.4808408Z test_qtopk (quantization.core.test_quantized_op.TestQuantizedOps) ... /var/lib/jenkins/workspace/test/quantization/core/test_quantized_op.py:2000: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T01:18:15.4808503Z indices = torch.tensor(X).long() 2022-11-23T01:18:15.4808570Z ok (0.081s) 2022-11-23T01:18:15.4808751Z test_quantized_mean_qnnpack (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.024s) 2022-11-23T01:18:15.4808912Z test_sigmoid (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.188s) 2022-11-23T01:18:15.4809084Z test_sigmoid_non_observed (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (0.793s) 2022-11-23T01:18:15.4809234Z test_std (quantization.core.test_quantized_op.TestQuantizedOps) ... ok (1.777s) 2022-11-23T01:18:15.4809412Z test_bfp16_quantize (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.001s) 2022-11-23T01:18:15.4809684Z test_choose_qparams (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: this is broken without changes to any relevant code, we need to remove hypothesis testing in CI (0.005s) 2022-11-23T01:18:15.4809883Z test_choose_qparams_optimized (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.016s) 2022-11-23T01:18:15.4810053Z test_clone (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.003s) 2022-11-23T01:18:15.4810314Z test_compare_per_channel_device_numerics (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: CUDA is not available (0.001s) 2022-11-23T01:18:15.4810546Z test_compare_per_tensor_device_numerics (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: CUDA is not available (0.001s) 2022-11-23T01:18:15.4810779Z test_cuda_quantization_does_not_pin_memory (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: CUDA is not available (0.001s) 2022-11-23T01:18:15.4810986Z test_decomposed_dequantize_per_tensor (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.002s) 2022-11-23T01:18:15.4811185Z test_decomposed_dynamic_quant_pattern (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.002s) 2022-11-23T01:18:15.4811423Z test_decomposed_quantize_per_channel (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.002s) 2022-11-23T01:18:15.4811620Z test_decomposed_quantize_per_tensor (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.001s) 2022-11-23T01:18:15.4811797Z test_dequantize_fp16_cpu (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.001s) 2022-11-23T01:18:15.4812011Z test_dequantize_fp16_cuda (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: No gpu is available. (0.000s) 2022-11-23T01:18:15.4812413Z test_fp16_saturate_op (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... /var/lib/jenkins/workspace/test/quantization/core/test_quantized_tensor.py:1393: UserWarning: FOUND weight out of range (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/quantized/cpu/QuantUtils.h:215.) 2022-11-23T01:18:15.4812513Z y = torch._saturate_weight_to_fp16(x) 2022-11-23T01:18:15.4812578Z ok (0.001s) 2022-11-23T01:18:15.4812764Z test_jit_serialization (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.009s) 2022-11-23T01:18:15.4812966Z test_per_channel_qtensor_creation_cpu (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.002s) 2022-11-23T01:18:15.4813196Z test_per_channel_qtensor_creation_cuda (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: No gpu is available. (0.000s) 2022-11-23T01:18:15.4813399Z test_per_channel_qtensor_to_memory_format (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.002s) 2022-11-23T01:18:15.4813617Z test_per_channel_to_device (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: No gpu is available. (0.001s) 2022-11-23T01:18:15.4813806Z test_per_tensor_qtensor_to_memory_format (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.003s) 2022-11-23T01:18:15.4814023Z test_per_tensor_to_device (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: No gpu is available. (0.001s) 2022-11-23T01:18:15.4814695Z test_pickle_checkpoint_qtensor (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... /opt/conda/lib/python3.7/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:18:15.4814793Z warnings.warn(message, UserWarning) 2022-11-23T01:18:15.4814860Z ok (0.004s) 2022-11-23T01:18:15.4815044Z test_qscheme_pickle (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.001s) 2022-11-23T01:18:15.4815244Z test_qtensor_channel_float_assignment (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.081s) 2022-11-23T01:18:15.4815422Z test_qtensor_copy (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.017s) 2022-11-23T01:18:15.4815603Z test_qtensor_cpu (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.008s) 2022-11-23T01:18:15.4815784Z test_qtensor_creation (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.004s) 2022-11-23T01:18:15.4816007Z test_qtensor_cuda (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: No gpu is available. (0.000s) 2022-11-23T01:18:15.4816191Z test_qtensor_dtypes (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.001s) 2022-11-23T01:18:15.4816383Z test_qtensor_fill_per_channel (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.005s) 2022-11-23T01:18:15.4816579Z test_qtensor_fill_per_channel_nhwc (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.010s) 2022-11-23T01:18:15.4816768Z test_qtensor_fill_per_tensor (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.005s) 2022-11-23T01:18:15.4816992Z test_qtensor_fill_per_tensor_nhwc (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.011s) 2022-11-23T01:18:15.4817181Z test_qtensor_float_assignment (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.004s) 2022-11-23T01:18:15.4817368Z test_qtensor_index_put_cpu (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.012s) 2022-11-23T01:18:15.4817586Z test_qtensor_index_put_cuda (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: No gpu is available. (0.000s) 2022-11-23T01:18:15.4817766Z test_qtensor_index_select_cpu (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.001s) 2022-11-23T01:18:15.4817984Z test_qtensor_index_select_cuda (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: No gpu is available. (0.000s) 2022-11-23T01:18:15.4818165Z test_qtensor_int_repr (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.001s) 2022-11-23T01:18:15.4818357Z test_qtensor_legacy_new_failure (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.006s) 2022-11-23T01:18:15.4818543Z test_qtensor_load_save (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.005s) 2022-11-23T01:18:15.4818877Z test_qtensor_masked_fill_cpu (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.013s) 2022-11-23T01:18:15.4819123Z test_qtensor_masked_fill_cuda (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: No gpu is available. (0.000s) 2022-11-23T01:18:15.4819322Z test_qtensor_per_channel_load_save (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.004s) 2022-11-23T01:18:15.4819519Z test_qtensor_per_channel_permute (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.010s) 2022-11-23T01:18:15.4819690Z test_qtensor_permute (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.009s) 2022-11-23T01:18:15.4819877Z test_qtensor_quant_dequant (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.003s) 2022-11-23T01:18:15.4820073Z test_qtensor_quantize_per_channel (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.475s) 2022-11-23T01:18:15.4820256Z test_qtensor_reshape (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.003s) 2022-11-23T01:18:15.4820682Z test_qtensor_resize (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:746: UserWarning: non-inplace resize is deprecated 2022-11-23T01:18:15.4820846Z warnings.warn("non-inplace resize is deprecated") 2022-11-23T01:18:15.4820912Z ok (0.003s) 2022-11-23T01:18:15.4821106Z test_qtensor_sub_byte_aligned_cols (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.003s) 2022-11-23T01:18:15.4821304Z test_qtensor_sub_byte_not_aligned_cols (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.003s) 2022-11-23T01:18:15.4821474Z test_qtensor_unsqueeze (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.014s) 2022-11-23T01:18:15.4821654Z test_qtensor_view (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.009s) 2022-11-23T01:18:15.4821860Z test_quant_pin_memory (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... skip: CUDA is not available (0.001s) 2022-11-23T01:18:15.4822119Z test_quantize_per_channel_float_qparams (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.488s) 2022-11-23T01:18:15.4822309Z test_quantize_per_channel_sub_byte (quantization.core.test_quantized_tensor.TestQuantizedTensor) 2022-11-23T01:18:15.4822519Z Tests the per channel quantization scheme for 4-bit qtensors. ... ok (0.022s) 2022-11-23T01:18:15.4822693Z test_repeat (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.002s) 2022-11-23T01:18:15.4822884Z test_torch_qtensor_deepcopy (quantization.core.test_quantized_tensor.TestQuantizedTensor) ... ok (0.001s) 2022-11-23T01:18:15.4823132Z test_observer_scriptable (quantization.core.test_workflow_module.TestRecordHistogramObserver) ... ok (0.016s) 2022-11-23T01:18:15.4823320Z test_record_observer (quantization.core.test_workflow_module.TestRecordHistogramObserver) ... ok (0.009s) 2022-11-23T01:18:15.4823499Z test_rnn (quantization.core.test_quantized_module.TestReferenceQuantizedModule) 2022-11-23T01:18:15.4823645Z Checks the rnn reference quantized modules has correct numerics ... ok (0.012s) 2022-11-23T01:18:15.4823827Z test_rnn_cell (quantization.core.test_quantized_module.TestReferenceQuantizedModule) 2022-11-23T01:18:15.4823973Z Checks the rnn cell reference quantized modules has correct numerics ... ok (0.008s) 2022-11-23T01:18:15.4824152Z test_sparse (quantization.core.test_quantized_module.TestReferenceQuantizedModule) 2022-11-23T01:18:15.4824255Z Embedding and EmbeddingBag ... ok (0.005s) 2022-11-23T01:18:15.4824434Z test_conv2d (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.090s) 2022-11-23T01:18:15.4824622Z test_conv2d_graph (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.051s) 2022-11-23T01:18:15.4824799Z test_conv2d_graph_v2 (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.046s) 2022-11-23T01:18:15.4824982Z test_conv2d_graph_v3 (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.045s) 2022-11-23T01:18:15.4825173Z test_conv2d_nobias (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.074s) 2022-11-23T01:18:15.4825368Z test_conv2d_nobias_graph (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.044s) 2022-11-23T01:18:15.4825562Z test_conv2d_nobias_graph_v2 (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.040s) 2022-11-23T01:18:15.4825755Z test_conv2d_nobias_graph_v3 (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.045s) 2022-11-23T01:18:15.4825940Z test_conv2d_relu (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.073s) 2022-11-23T01:18:15.4826118Z test_conv3d (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.015s) 2022-11-23T01:18:15.4826299Z test_conv3d_relu (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.014s) 2022-11-23T01:18:15.4826483Z test_default_qat_qconfig (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.013s) 2022-11-23T01:18:15.4826657Z test_linear (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.041s) 2022-11-23T01:18:15.4826847Z test_linear_dynamic (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.059s) 2022-11-23T01:18:15.4827030Z test_linear_relu (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.040s) 2022-11-23T01:18:15.4827782Z test_linear_relu_package_quantization_transforms (quantization.bc.test_backward_compatibility.TestSerialization) ... /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/fx/prepare.py:1483: UserWarning: Passing a QConfig dictionary to prepare is deprecated and will not be supported in a future version. Please pass in a QConfigMapping instead. 2022-11-23T01:18:15.4827946Z "Passing a QConfig dictionary to prepare is deprecated and will not be supported " 2022-11-23T01:18:15.4828486Z /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py:1346: UserWarning: Node child_packed_weight_0 target child_packed_weight_0 child_packed_weight_0 of does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target 2022-11-23T01:18:15.4828700Z warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does ' 2022-11-23T01:18:15.4829173Z /opt/conda/lib/python3.7/site-packages/torch/fx/graph.py:1346: UserWarning: Node _packed_weight_0 target _packed_weight_0 _packed_weight_0 of does not reference an nn.Module, nn.Parameter, or buffer, which is what 'get_attr' Nodes typically target 2022-11-23T01:18:15.4829380Z warnings.warn(f'Node {node} target {node.target} {atom} of {seen_qualname} does ' 2022-11-23T01:18:15.4829464Z ok (0.276s) 2022-11-23T01:18:15.4829644Z test_lstm (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.035s) 2022-11-23T01:18:15.4829841Z test_per_channel_observer (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.005s) 2022-11-23T01:18:15.4830037Z test_per_tensor_observer (quantization.bc.test_backward_compatibility.TestSerialization) ... ok (0.004s) 2022-11-23T01:18:15.4830218Z test_batch_norm2d (quantization.core.test_quantized_module.TestStaticQuantizedModule) 2022-11-23T01:18:15.4830346Z Tests the correctness of the batchnorm2d module. ... ok (0.002s) 2022-11-23T01:18:15.4830892Z test_batch_norm2d_serialization (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... /opt/conda/lib/python3.7/site-packages/torch/ao/quantization/utils.py:312: UserWarning: must run observer before calling calculate_qparams. Returning default values. 2022-11-23T01:18:15.4831018Z "must run observer before calling calculate_qparams. " + 2022-11-23T01:18:15.4831084Z ok (0.009s) 2022-11-23T01:18:15.4831252Z test_batch_norm3d (quantization.core.test_quantized_module.TestStaticQuantizedModule) 2022-11-23T01:18:15.4831377Z Tests the correctness of the batchnorm3d module. ... ok (0.002s) 2022-11-23T01:18:15.4831590Z test_batch_norm3d_serialization (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (0.008s) 2022-11-23T01:18:15.4831773Z test_channel_shuffle (quantization.core.test_quantized_module.TestStaticQuantizedModule) 2022-11-23T01:18:15.4831907Z Tests the correctness of the ChannelShuffle module. ... ok (0.007s) 2022-11-23T01:18:15.4832098Z test_conv1d_api (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (6.124s) 2022-11-23T01:18:15.4832288Z test_conv2d_api (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (6.315s) 2022-11-23T01:18:15.4832474Z test_conv3d_api (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (0.414s) 2022-11-23T01:18:15.4832650Z test_dropout (quantization.core.test_quantized_module.TestStaticQuantizedModule) 2022-11-23T01:18:15.4832759Z Tests the correctness of the dropout module. ... ok (0.002s) 2022-11-23T01:18:15.4832964Z test_dropout_serialization (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (0.006s) 2022-11-23T01:18:15.4833137Z test_elu (quantization.core.test_quantized_module.TestStaticQuantizedModule) 2022-11-23T01:18:15.4833251Z Tests the correctness of the ELU module. ... ok (0.002s) 2022-11-23T01:18:15.4833447Z test_embedding_api (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (3.323s) 2022-11-23T01:18:15.4833634Z test_embedding_bag_api (quantization.core.test_quantized_module.TestStaticQuantizedModule) 2022-11-23T01:18:15.4833804Z Test execution and serialization for dynamic quantized embedding_bag modules on int8 ... ok (3.659s) 2022-11-23T01:18:15.4833979Z test_group_norm (quantization.core.test_quantized_module.TestStaticQuantizedModule) 2022-11-23T01:18:15.4834094Z Tests the correctness of the groupnorm module. ... ok (0.004s) 2022-11-23T01:18:15.4834276Z test_instance_norm (quantization.core.test_quantized_module.TestStaticQuantizedModule) 2022-11-23T01:18:15.4834410Z Tests the correctness of the instancenorm{n}d modules. ... ok (0.009s) 2022-11-23T01:18:15.4834612Z test_layer_norm (quantization.core.test_quantized_module.TestStaticQuantizedModule) 2022-11-23T01:18:15.4834736Z Tests the correctness of the layernorm module. ... ok (0.004s) 2022-11-23T01:18:15.4834928Z test_leaky_relu (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (0.003s) 2022-11-23T01:18:15.4835118Z test_linear_api (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (49.519s) 2022-11-23T01:18:15.4835294Z test_pool_api (quantization.core.test_quantized_module.TestStaticQuantizedModule) 2022-11-23T01:18:15.4835401Z Tests the correctness of the pool module. ... ok (0.013s) 2022-11-23T01:18:15.4835671Z test_prelu (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (0.002s) 2022-11-23T01:18:15.4835871Z test_quant_dequant_api (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (0.002s) 2022-11-23T01:18:15.4836057Z test_relu (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (0.002s) 2022-11-23T01:18:15.4836247Z test_sigmoid (quantization.core.test_quantized_module.TestStaticQuantizedModule) ... ok (0.002s) 2022-11-23T01:18:15.4836455Z test_subgraph_rewriter_annotations_int (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (5.098s) 2022-11-23T01:18:15.4836678Z test_subgraph_rewriter_correct_output_replacement (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.408s) 2022-11-23T01:18:15.4836893Z test_subgraph_rewriter_graph_argument_order (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.045s) 2022-11-23T01:18:15.4837147Z test_subgraph_rewriter_internal_pattern_nodes_cannot_have_users_that_are_not_matched (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.039s) 2022-11-23T01:18:15.4837346Z test_subgraph_rewriter_multiple_pattern_match (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.047s) 2022-11-23T01:18:15.4837561Z test_subgraph_rewriter_pattern_is_entire_graph (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.045s) 2022-11-23T01:18:15.4837813Z test_subgraph_rewriter_pattern_output_pattern_node_can_have_users_that_are_not_matched (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.047s) 2022-11-23T01:18:15.4838020Z test_subgraph_rewriter_placeholder_matching (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) 2022-11-23T01:18:15.4838168Z This tests that a placeholder Node can be matched to a Node with ... ok (0.048s) 2022-11-23T01:18:15.4838373Z test_subgraph_rewriter_preserves_logic (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.046s) 2022-11-23T01:18:15.4838598Z test_subgraph_rewriter_replaces_referenced_submodules (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.036s) 2022-11-23T01:18:15.4838806Z test_subgraph_rewriter_single_pattern_match (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.046s) 2022-11-23T01:18:15.4839014Z test_subgraph_rewriter_traced_as_callable (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.047s) 2022-11-23T01:18:15.4839226Z test_subgraph_rewriter_with_oneliner_pattern (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.046s) 2022-11-23T01:18:15.4839434Z test_subgraph_writer_replace_consecutive_submodules (quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter) ... ok (0.045s) 2022-11-23T01:18:15.4839599Z test_get_fqn_to_example_inputs_complex_args (quantization.core.test_utils.TestUtils) 2022-11-23T01:18:15.4839748Z Test that we can record complex example inputs such as lists and dicts ... ok (0.007s) 2022-11-23T01:18:15.4839915Z test_get_fqn_to_example_inputs_default_kwargs (quantization.core.test_utils.TestUtils) 2022-11-23T01:18:15.4840076Z Test that we can get example inputs for functions with default keyword arguments ... ok (0.007s) 2022-11-23T01:18:15.4840243Z test_get_fqn_to_example_inputs_simple (quantization.core.test_utils.TestUtils) ... ok (0.007s) 2022-11-23T01:18:15.4840432Z test_quantize_weight_clamping_per_channel (quantization.core.test_utils.TestUtils) 2022-11-23T01:18:15.4840600Z Test quant_{min, max} from per channel observer is honored by `_quantize_weight` method ... ok (0.002s) 2022-11-23T01:18:15.4840760Z test_quantize_weight_clamping_per_tensor (quantization.core.test_utils.TestUtils) 2022-11-23T01:18:15.4840910Z Test quant_{min, max} from per tensor observer is honored by `_quantize_weight` method ... ok (0.002s) 2022-11-23T01:18:15.4840920Z 2022-11-23T01:18:15.4841120Z ---------------------------------------------------------------------- 2022-11-23T01:18:15.4841239Z Ran 977 tests in 759.778s 2022-11-23T01:18:15.4841244Z 2022-11-23T01:18:15.4841316Z OK (skipped=62) 2022-11-23T01:18:15.4841321Z 2022-11-23T01:18:15.4841404Z Generating XML reports... 2022-11-23T01:18:15.4841824Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.ao_migration.test_ao_migration.TestAOMigrationNNIntrinsic-20221123010534.xml 2022-11-23T01:18:15.4842226Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.ao_migration.test_ao_migration.TestAOMigrationNNQuantized-20221123010534.xml 2022-11-23T01:18:15.4842642Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.ao_migration.test_quantization.TestAOMigrationQuantization-20221123010534.xml 2022-11-23T01:18:15.4843044Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.ao_migration.test_quantization_fx.TestAOMigrationQuantizationFx-20221123010534.xml 2022-11-23T01:18:15.4843410Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_backend_config.TestBackendConfig-20221123010534.xml 2022-11-23T01:18:15.4843791Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.eager.test_bias_correction_eager.TestBiasCorrectionEager-20221123010534.xml 2022-11-23T01:18:15.4844146Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_op.TestComparatorOps-20221123010534.xml 2022-11-23T01:18:15.4844537Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.jit.test_deprecated_jit_quant.TestDeprecatedJitQuantized-20221123010534.xml 2022-11-23T01:18:15.4844899Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_workflow_module.TestDistributed-20221123010534.xml 2022-11-23T01:18:15.4845292Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_module.TestDynamicQuantizedModule-20221123010534.xml 2022-11-23T01:18:15.4845674Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_op.TestDynamicQuantizedOps-20221123010534.xml 2022-11-23T01:18:15.4846041Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.eager.test_equalize_eager.TestEqualizeEager-20221123010534.xml 2022-11-23T01:18:15.4846379Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_equalize_fx.TestEqualizeFx-20221123010534.xml 2022-11-23T01:18:15.4846735Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_numeric_suite_fx.TestFXGraphMatcher-20221123010534.xml 2022-11-23T01:18:15.4847107Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_numeric_suite_fx.TestFXGraphMatcherModels-20221123010534.xml 2022-11-23T01:18:15.4847489Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIs-20221123010534.xml 2022-11-23T01:18:15.4847876Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteCoreAPIsModels-20221123010534.xml 2022-11-23T01:18:15.4848287Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_numeric_suite_fx.TestFXNumericSuiteNShadows-20221123010534.xml 2022-11-23T01:18:15.4848648Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_workflow_module.TestFakeQuantize-20221123010534.xml 2022-11-23T01:18:15.4849006Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_workflow_ops.TestFakeQuantizeOps-20221123010534.xml 2022-11-23T01:18:15.4849353Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.eager.test_fuse_eager.TestFuseEager-20221123010534.xml 2022-11-23T01:18:15.4849710Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_quantize_fx.TestFuseFx-20221123010534.xml 2022-11-23T01:18:15.4850082Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_workflow_ops.TestFusedObsFakeQuant-20221123010534.xml 2022-11-23T01:18:15.4850476Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_workflow_module.TestFusedObsFakeQuantModule-20221123010534.xml 2022-11-23T01:18:15.4850827Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.jit.test_fusion_passes.TestFusionPasses-20221123010534.xml 2022-11-23T01:18:15.4851238Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_model_report_fx.TestFxDetectInputWeightEqualization-20221123010534.xml 2022-11-23T01:18:15.4851597Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_model_report_fx.TestFxDetectOutliers-20221123010534.xml 2022-11-23T01:18:15.4851962Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_model_report_fx.TestFxModelReportClass-20221123010534.xml 2022-11-23T01:18:15.4852364Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_model_report_fx.TestFxModelReportDetectDynamicStatic-20221123010534.xml 2022-11-23T01:18:15.4852744Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_model_report_fx.TestFxModelReportDetector-20221123010534.xml 2022-11-23T01:18:15.4853119Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_model_report_fx.TestFxModelReportObserver-20221123010534.xml 2022-11-23T01:18:15.4853499Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_model_report_fx.TestFxModelReportVisualizer-20221123010534.xml 2022-11-23T01:18:15.4853872Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_workflow_module.TestHistogramObserver-20221123010534.xml 2022-11-23T01:18:15.4854250Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.eager.test_model_numerics.TestModelNumericsEager-20221123010534.xml 2022-11-23T01:18:15.4854635Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.eager.test_numeric_suite_eager.TestNumericSuiteEager-20221123010534.xml 2022-11-23T01:18:15.4854982Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_workflow_module.TestObserver-20221123010534.xml 2022-11-23T01:18:15.4855322Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_op.TestPadding-20221123010534.xml 2022-11-23T01:18:15.4855667Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_op.TestQNNPackOps-20221123010534.xml 2022-11-23T01:18:15.4856020Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_docs.TestQuantizationDocs-20221123010534.xml 2022-11-23T01:18:15.4856384Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.jit.test_quantize_jit.TestQuantizeDynamicJitOps-20221123010534.xml 2022-11-23T01:18:15.4856795Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.jit.test_quantize_jit.TestQuantizeDynamicJitPasses-20221123010534.xml 2022-11-23T01:18:15.4857168Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerOps-20221123010534.xml 2022-11-23T01:18:15.4857562Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQDynamic-20221123010534.xml 2022-11-23T01:18:15.4857960Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.eager.test_quantize_eager_ptq.TestQuantizeEagerPTQStatic-20221123010534.xml 2022-11-23T01:18:15.4858363Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQAT-20221123010534.xml 2022-11-23T01:18:15.4858918Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.eager.test_quantize_eager_qat.TestQuantizeEagerQATNumerics-20221123010534.xml 2022-11-23T01:18:15.4859268Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_quantize_fx.TestQuantizeFx-20221123010534.xml 2022-11-23T01:18:15.4859627Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_quantize_fx.TestQuantizeFxModels-20221123010534.xml 2022-11-23T01:18:15.4859973Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_quantize_fx.TestQuantizeFxOps-20221123010534.xml 2022-11-23T01:18:15.4860325Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.jit.test_quantize_jit.TestQuantizeJit-20221123010534.xml 2022-11-23T01:18:15.4860678Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.jit.test_quantize_jit.TestQuantizeJitOps-20221123010534.xml 2022-11-23T01:18:15.4861031Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.jit.test_quantize_jit.TestQuantizeJitPasses-20221123010534.xml 2022-11-23T01:18:15.4861377Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_op.TestQuantizedConv-20221123010534.xml 2022-11-23T01:18:15.4861756Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_op.TestQuantizedEmbeddingOps-20221123010534.xml 2022-11-23T01:18:15.4862168Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_functional.TestQuantizedFunctionalOps-20221123010534.xml 2022-11-23T01:18:15.4862530Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_op.TestQuantizedLinear-20221123010534.xml 2022-11-23T01:18:15.4862880Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_op.TestQuantizedOps-20221123010534.xml 2022-11-23T01:18:15.4863249Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_tensor.TestQuantizedTensor-20221123010534.xml 2022-11-23T01:18:15.4863644Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_workflow_module.TestRecordHistogramObserver-20221123010534.xml 2022-11-23T01:18:15.4864043Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_module.TestReferenceQuantizedModule-20221123010534.xml 2022-11-23T01:18:15.4864423Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.bc.test_backward_compatibility.TestSerialization-20221123010534.xml 2022-11-23T01:18:15.4864814Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_quantized_module.TestStaticQuantizedModule-20221123010534.xml 2022-11-23T01:18:15.4865235Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.fx.test_subgraph_rewriter.TestSubgraphRewriter-20221123010534.xml 2022-11-23T01:18:15.4865564Z Generated XML report: test-reports/python-unittest/test_quantization/TEST-quantization.core.test_utils.TestUtils-20221123010534.xml 2022-11-23T01:18:15.4865571Z 2022-11-23T01:18:15.4865953Z ##[endgroup] 2022-11-23T01:18:15.4866247Z FINISHED PRINTING LOG FILE of test_quantization (/var/lib/jenkins/workspace/test/test-reports/test_quantization_grtwvr6l) 2022-11-23T01:18:15.4866253Z 2022-11-23T01:18:17.3381437Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:18:17.4860404Z Ignoring disabled issues: [] 2022-11-23T01:18:17.5192803Z Running test_proxy_tensor ... [2022-11-23 01:18:17.519007] 2022-11-23T01:18:17.5195004Z Executing ['/opt/conda/bin/python', '-bb', 'test_proxy_tensor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:18:17.519259] 2022-11-23T01:28:19.3682314Z 2022-11-23T01:28:19.3684716Z Expand the folded group to see the log file of test_proxy_tensor 2022-11-23T01:28:19.3685741Z ##[group]PRINTING LOG FILE of test_proxy_tensor (/var/lib/jenkins/workspace/test/test-reports/test_proxy_tensor_ccqaxarc) 2022-11-23T01:28:19.3689282Z Test results will be stored in test-reports/python-unittest/test_proxy_tensor 2022-11-23T01:28:19.3689618Z 2022-11-23T01:28:19.3689738Z Running tests... 2022-11-23T01:28:19.3690241Z ---------------------------------------------------------------------- 2022-11-23T01:28:19.3739798Z test_alias (__main__.TestFakeProxyTensor) ... ok (0.023s) 2022-11-23T01:28:19.3740285Z test_issue82547 (__main__.TestFakeProxyTensor) ... ok (0.005s) 2022-11-23T01:28:19.3740623Z test_meta (__main__.TestFakeProxyTensor) ... ok (0.006s) 2022-11-23T01:28:19.3741081Z test_use_fake_and_tensor (__main__.TestFakeProxyTensor) ... ok (0.109s) 2022-11-23T01:28:19.3741649Z test_allclose (__main__.TestGenericProxyTensorFake) ... ok (0.005s) 2022-11-23T01:28:19.3742396Z test_amp_cache (__main__.TestGenericProxyTensorFake) ... skip: CUDA-only test (0.001s) 2022-11-23T01:28:19.3742953Z test_constant_blowup (__main__.TestGenericProxyTensorFake) ... ok (0.005s) 2022-11-23T01:28:19.3743505Z test_constant_proxy_tensor_mut (__main__.TestGenericProxyTensorFake) ... ok (0.007s) 2022-11-23T01:28:19.3744066Z test_constant_random (__main__.TestGenericProxyTensorFake) ... ok (0.004s) 2022-11-23T01:28:19.3744584Z test_constant_unbind (__main__.TestGenericProxyTensorFake) ... ok (0.005s) 2022-11-23T01:28:19.3745125Z test_decomp_of_capture (__main__.TestGenericProxyTensorFake) ... ok (0.006s) 2022-11-23T01:28:19.3745675Z test_decomposition_interpreter (__main__.TestGenericProxyTensorFake) ... ok (0.008s) 2022-11-23T01:28:19.3746208Z test_has_proxy (__main__.TestGenericProxyTensorFake) ... ok (0.004s) 2022-11-23T01:28:19.3746709Z test_inplace_metadata (__main__.TestGenericProxyTensorFake) ... ok (0.004s) 2022-11-23T01:28:19.3747252Z test_isolated_graphmodule (__main__.TestGenericProxyTensorFake) ... ok (0.052s) 2022-11-23T01:28:19.3747886Z test_make_fx_model_double_param (__main__.TestGenericProxyTensorFake) ... ok (0.008s) 2022-11-23T01:28:19.3748419Z test_make_fx_model_fwd_bwd (__main__.TestGenericProxyTensorFake) ... ok (0.057s) 2022-11-23T01:28:19.3748982Z test_make_fx_model_fwd_bwd_wgtupdate (__main__.TestGenericProxyTensorFake) ... ok (0.032s) 2022-11-23T01:28:19.3749571Z test_make_fx_overloads (__main__.TestGenericProxyTensorFake) ... ok (0.006s) 2022-11-23T01:28:19.3750091Z test_make_fx_reentrant_dispatch (__main__.TestGenericProxyTensorFake) ... ok (0.006s) 2022-11-23T01:28:19.3750406Z test_make_fx_simple (__main__.TestGenericProxyTensorFake) ... ok (0.004s) 2022-11-23T01:28:19.3750796Z test_mode_tracing_factory_function (__main__.TestGenericProxyTensorFake) ... ok (0.005s) 2022-11-23T01:28:19.3751344Z test_partial_decomp (__main__.TestGenericProxyTensorFake) ... ok (0.015s) 2022-11-23T01:28:19.3751829Z test_pr_86917 (__main__.TestGenericProxyTensorFake) ... ok (0.010s) 2022-11-23T01:28:19.3752594Z test_proxy_tensor (__main__.TestGenericProxyTensorFake) ... ok (0.025s) 2022-11-23T01:28:19.3753192Z test_proxy_tensor_mode_with_decomp_table_preserves_proxy (__main__.TestGenericProxyTensorFake) ... ok (0.005s) 2022-11-23T01:28:19.3753789Z test_resnet18_backward_trace (__main__.TestGenericProxyTensorFake) ... ok (2.161s) 2022-11-23T01:28:19.3754302Z test_scalar_device (__main__.TestGenericProxyTensorFake) ... ok (0.006s) 2022-11-23T01:28:19.3754813Z test_strides (__main__.TestGenericProxyTensorFake) ... ok (0.010s) 2022-11-23T01:28:19.3755315Z test_tensor_constants (__main__.TestGenericProxyTensorFake) ... ok (0.005s) 2022-11-23T01:28:19.3755936Z test_trace_subclasses (__main__.TestGenericProxyTensorFake) ... ok (0.009s) 2022-11-23T01:28:19.3756452Z test_val_metadata_mutation (__main__.TestGenericProxyTensorFake) ... ok (0.004s) 2022-11-23T01:28:19.3756958Z test_varargs (__main__.TestGenericProxyTensorFake) ... ok (0.005s) 2022-11-23T01:28:19.3757452Z test_allclose (__main__.TestGenericProxyTensorReal) ... ok (0.003s) 2022-11-23T01:28:19.3758118Z test_amp_cache (__main__.TestGenericProxyTensorReal) ... skip: CUDA-only test (0.001s) 2022-11-23T01:28:19.3758661Z test_constant_blowup (__main__.TestGenericProxyTensorReal) ... ok (0.004s) 2022-11-23T01:28:19.3759195Z test_constant_proxy_tensor_mut (__main__.TestGenericProxyTensorReal) ... ok (0.006s) 2022-11-23T01:28:19.3759718Z test_constant_random (__main__.TestGenericProxyTensorReal) ... ok (0.003s) 2022-11-23T01:28:19.3760209Z test_constant_unbind (__main__.TestGenericProxyTensorReal) ... ok (0.004s) 2022-11-23T01:28:19.3760733Z test_decomp_of_capture (__main__.TestGenericProxyTensorReal) ... ok (0.006s) 2022-11-23T01:28:19.3761307Z test_decomposition_interpreter (__main__.TestGenericProxyTensorReal) ... ok (0.007s) 2022-11-23T01:28:19.3761816Z test_has_proxy (__main__.TestGenericProxyTensorReal) ... ok (0.004s) 2022-11-23T01:28:19.3762327Z test_inplace_metadata (__main__.TestGenericProxyTensorReal) ... ok (0.004s) 2022-11-23T01:28:19.3762853Z test_isolated_graphmodule (__main__.TestGenericProxyTensorReal) ... ok (0.051s) 2022-11-23T01:28:19.3763398Z test_make_fx_model_double_param (__main__.TestGenericProxyTensorReal) ... ok (0.008s) 2022-11-23T01:28:19.3763938Z test_make_fx_model_fwd_bwd (__main__.TestGenericProxyTensorReal) ... ok (0.024s) 2022-11-23T01:28:19.3764493Z test_make_fx_model_fwd_bwd_wgtupdate (__main__.TestGenericProxyTensorReal) ... ok (0.027s) 2022-11-23T01:28:19.3765049Z test_make_fx_overloads (__main__.TestGenericProxyTensorReal) ... ok (0.005s) 2022-11-23T01:28:19.3765596Z test_make_fx_reentrant_dispatch (__main__.TestGenericProxyTensorReal) ... ok (0.005s) 2022-11-23T01:28:19.3766118Z test_make_fx_simple (__main__.TestGenericProxyTensorReal) ... ok (0.004s) 2022-11-23T01:28:19.3766661Z test_mode_tracing_factory_function (__main__.TestGenericProxyTensorReal) ... ok (0.004s) 2022-11-23T01:28:19.3767212Z test_partial_decomp (__main__.TestGenericProxyTensorReal) ... ok (0.015s) 2022-11-23T01:28:19.3767700Z test_pr_86917 (__main__.TestGenericProxyTensorReal) ... ok (0.005s) 2022-11-23T01:28:19.3768193Z test_proxy_tensor (__main__.TestGenericProxyTensorReal) ... ok (0.024s) 2022-11-23T01:28:19.3768776Z test_proxy_tensor_mode_with_decomp_table_preserves_proxy (__main__.TestGenericProxyTensorReal) ... ok (0.005s) 2022-11-23T01:28:19.3769373Z test_resnet18_backward_trace (__main__.TestGenericProxyTensorReal) ... ok (2.015s) 2022-11-23T01:28:19.3769918Z test_scalar_device (__main__.TestGenericProxyTensorReal) ... ok (0.006s) 2022-11-23T01:28:19.3770462Z test_strides (__main__.TestGenericProxyTensorReal) ... ok (0.012s) 2022-11-23T01:28:19.3770785Z test_tensor_constants (__main__.TestGenericProxyTensorReal) ... ok (0.004s) 2022-11-23T01:28:19.3771097Z test_trace_subclasses (__main__.TestGenericProxyTensorReal) ... ok (0.009s) 2022-11-23T01:28:19.3771426Z test_val_metadata_mutation (__main__.TestGenericProxyTensorReal) ... ok (0.004s) 2022-11-23T01:28:19.3771800Z test_varargs (__main__.TestGenericProxyTensorReal) ... ok (0.005s) 2022-11-23T01:28:19.3772119Z test_allclose (__main__.TestGenericProxyTensorSymbolic) ... ok (0.074s) 2022-11-23T01:28:19.3772537Z test_amp_cache (__main__.TestGenericProxyTensorSymbolic) ... skip: CUDA-only test (0.001s) 2022-11-23T01:28:19.3772890Z test_constant_blowup (__main__.TestGenericProxyTensorSymbolic) ... ok (0.006s) 2022-11-23T01:28:19.3773237Z test_constant_proxy_tensor_mut (__main__.TestGenericProxyTensorSymbolic) ... ok (0.007s) 2022-11-23T01:28:19.3773571Z test_constant_random (__main__.TestGenericProxyTensorSymbolic) ... ok (0.004s) 2022-11-23T01:28:19.3773907Z test_constant_unbind (__main__.TestGenericProxyTensorSymbolic) ... ok (0.005s) 2022-11-23T01:28:19.3774289Z test_decomp_of_capture (__main__.TestGenericProxyTensorSymbolic) ... ok (0.005s) 2022-11-23T01:28:19.3774640Z test_decomposition_interpreter (__main__.TestGenericProxyTensorSymbolic) ... ok (0.035s) 2022-11-23T01:28:19.3774971Z test_has_proxy (__main__.TestGenericProxyTensorSymbolic) ... ok (0.004s) 2022-11-23T01:28:19.3775305Z test_inplace_metadata (__main__.TestGenericProxyTensorSymbolic) ... ok (0.012s) 2022-11-23T01:28:19.3775650Z test_isolated_graphmodule (__main__.TestGenericProxyTensorSymbolic) ... ok (0.053s) 2022-11-23T01:28:19.3775987Z test_make_fx_model_double_param (__main__.TestGenericProxyTensorSymbolic) ... ok (0.008s) 2022-11-23T01:28:19.3776338Z test_make_fx_model_fwd_bwd (__main__.TestGenericProxyTensorSymbolic) ... ok (0.155s) 2022-11-23T01:28:19.3776696Z test_make_fx_model_fwd_bwd_wgtupdate (__main__.TestGenericProxyTensorSymbolic) ... ok (0.148s) 2022-11-23T01:28:19.3777066Z test_make_fx_overloads (__main__.TestGenericProxyTensorSymbolic) ... expected failure (0.016s) 2022-11-23T01:28:19.3777420Z test_make_fx_reentrant_dispatch (__main__.TestGenericProxyTensorSymbolic) ... ok (0.012s) 2022-11-23T01:28:19.3777766Z test_make_fx_simple (__main__.TestGenericProxyTensorSymbolic) ... ok (0.010s) 2022-11-23T01:28:19.3778120Z test_mode_tracing_factory_function (__main__.TestGenericProxyTensorSymbolic) ... ok (0.012s) 2022-11-23T01:28:19.3778469Z test_partial_decomp (__main__.TestGenericProxyTensorSymbolic) ... ok (0.015s) 2022-11-23T01:28:19.3778929Z test_pr_86917 (__main__.TestGenericProxyTensorSymbolic) ... ok (0.024s) 2022-11-23T01:28:19.3779304Z test_proxy_tensor (__main__.TestGenericProxyTensorSymbolic) ... ok (0.073s) 2022-11-23T01:28:19.3779681Z test_proxy_tensor_mode_with_decomp_table_preserves_proxy (__main__.TestGenericProxyTensorSymbolic) ... ok (0.005s) 2022-11-23T01:28:19.3780050Z test_resnet18_backward_trace (__main__.TestGenericProxyTensorSymbolic) ... ok (24.359s) 2022-11-23T01:28:19.3780400Z test_scalar_device (__main__.TestGenericProxyTensorSymbolic) ... ok (0.019s) 2022-11-23T01:28:19.3780725Z test_strides (__main__.TestGenericProxyTensorSymbolic) ... ok (0.011s) 2022-11-23T01:28:19.3781053Z test_tensor_constants (__main__.TestGenericProxyTensorSymbolic) ... ok (0.005s) 2022-11-23T01:28:19.3781397Z test_trace_subclasses (__main__.TestGenericProxyTensorSymbolic) ... expected failure (0.009s) 2022-11-23T01:28:19.3781754Z test_val_metadata_mutation (__main__.TestGenericProxyTensorSymbolic) ... ok (0.023s) 2022-11-23T01:28:19.3782088Z test_varargs (__main__.TestGenericProxyTensorSymbolic) ... ok (0.029s) 2022-11-23T01:28:19.3782410Z test_make_fx_exhaustive_H_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.014s) 2022-11-23T01:28:19.3782750Z test_make_fx_exhaustive_T_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.3783099Z test_make_fx_exhaustive___getitem___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.092s) 2022-11-23T01:28:19.3783463Z test_make_fx_exhaustive___radd___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s) 2022-11-23T01:28:19.3783804Z test_make_fx_exhaustive___rdiv___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.046s) 2022-11-23T01:28:19.3784241Z test_make_fx_exhaustive___rmatmul___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.090s) 2022-11-23T01:28:19.3784606Z test_make_fx_exhaustive___rmod___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s) 2022-11-23T01:28:19.3784949Z test_make_fx_exhaustive___rmul___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s) 2022-11-23T01:28:19.3785811Z test_make_fx_exhaustive___rpow___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:849: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T01:28:19.3786440Z return torch.tensor(other, dtype=dtype, device=self.device) ** self 2022-11-23T01:28:19.3786671Z ok (0.061s) 2022-11-23T01:28:19.3788241Z test_make_fx_exhaustive___rsub___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s) 2022-11-23T01:28:19.3788608Z test_make_fx_exhaustive__softmax_backward_data_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.014s) 2022-11-23T01:28:19.3788977Z test_make_fx_exhaustive_abs_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.004s) 2022-11-23T01:28:19.3789323Z test_make_fx_exhaustive_acos_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.3789673Z test_make_fx_exhaustive_acosh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s) 2022-11-23T01:28:19.3790008Z test_make_fx_exhaustive_add_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s) 2022-11-23T01:28:19.3790358Z test_make_fx_exhaustive_addbmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.031s) 2022-11-23T01:28:19.3790720Z test_make_fx_exhaustive_addcdiv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.059s) 2022-11-23T01:28:19.3791059Z test_make_fx_exhaustive_addcmul_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.057s) 2022-11-23T01:28:19.3791408Z test_make_fx_exhaustive_addmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.016s) 2022-11-23T01:28:19.3791774Z test_make_fx_exhaustive_addmm_decomposed_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.016s) 2022-11-23T01:28:19.3792142Z test_make_fx_exhaustive_addmv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.032s) 2022-11-23T01:28:19.3792479Z test_make_fx_exhaustive_addr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.029s) 2022-11-23T01:28:19.3792824Z test_make_fx_exhaustive_all_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s) 2022-11-23T01:28:19.3793197Z test_make_fx_exhaustive_allclose_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.004s) 2022-11-23T01:28:19.3793566Z test_make_fx_exhaustive_amax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.075s) 2022-11-23T01:28:19.3793898Z test_make_fx_exhaustive_amin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.074s) 2022-11-23T01:28:19.3794617Z test_make_fx_exhaustive_aminmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... [W Resize.cpp:31] Warning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (function resize_output_check) 2022-11-23T01:28:19.3795618Z [W Resize.cpp:31] Warning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (function resize_output_check) 2022-11-23T01:28:19.3796663Z test_proxy_tensor.py:1394: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:28:19.3797269Z return fn(*args, **kwargs) 2022-11-23T01:28:19.3797450Z ok (0.028s) 2022-11-23T01:28:19.3797703Z test_make_fx_exhaustive_angle_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.004s) 2022-11-23T01:28:19.3798059Z test_make_fx_exhaustive_any_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.048s) 2022-11-23T01:28:19.3798456Z test_make_fx_exhaustive_arange_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.091s) 2022-11-23T01:28:19.3798801Z test_make_fx_exhaustive_argmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.046s) 2022-11-23T01:28:19.3799157Z test_make_fx_exhaustive_argmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.046s) 2022-11-23T01:28:19.3799507Z test_make_fx_exhaustive_argsort_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.124s) 2022-11-23T01:28:19.3799868Z test_make_fx_exhaustive_argwhere_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.021s) 2022-11-23T01:28:19.3800221Z test_make_fx_exhaustive_as_strided_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.021s) 2022-11-23T01:28:19.3800599Z test_make_fx_exhaustive_as_strided_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.028s) 2022-11-23T01:28:19.3800961Z test_make_fx_exhaustive_asin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.3801313Z test_make_fx_exhaustive_asinh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.3801648Z test_make_fx_exhaustive_atan2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s) 2022-11-23T01:28:19.3801990Z test_make_fx_exhaustive_atan_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.3802338Z test_make_fx_exhaustive_atanh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.004s) 2022-11-23T01:28:19.3802683Z test_make_fx_exhaustive_atleast_1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s) 2022-11-23T01:28:19.3803044Z test_make_fx_exhaustive_atleast_2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s) 2022-11-23T01:28:19.3803402Z test_make_fx_exhaustive_atleast_3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.027s) 2022-11-23T01:28:19.3803763Z test_make_fx_exhaustive_baddbmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.032s) 2022-11-23T01:28:19.3804111Z test_make_fx_exhaustive_bernoulli_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.016s) 2022-11-23T01:28:19.3804468Z test_make_fx_exhaustive_bfloat16_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s) 2022-11-23T01:28:19.3804845Z test_make_fx_exhaustive_block_diag_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.3805215Z test_make_fx_exhaustive_bmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.3805549Z test_make_fx_exhaustive_bool_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s) 2022-11-23T01:28:19.3805911Z test_make_fx_exhaustive_broadcast_shapes_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s) 2022-11-23T01:28:19.3806291Z test_make_fx_exhaustive_broadcast_tensors_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.009s) 2022-11-23T01:28:19.3806664Z test_make_fx_exhaustive_broadcast_to_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.028s) 2022-11-23T01:28:19.3807020Z test_make_fx_exhaustive_bucketize_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.101s) 2022-11-23T01:28:19.3807373Z test_make_fx_exhaustive_byte_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s) 2022-11-23T01:28:19.3807765Z test_make_fx_exhaustive_cartesian_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.027s) 2022-11-23T01:28:19.3808116Z test_make_fx_exhaustive_cat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s) 2022-11-23T01:28:19.3808469Z test_make_fx_exhaustive_cdist_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.492s) 2022-11-23T01:28:19.3808822Z test_make_fx_exhaustive_cdouble_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s) 2022-11-23T01:28:19.3809176Z test_make_fx_exhaustive_ceil_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.3809513Z test_make_fx_exhaustive_cfloat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s) 2022-11-23T01:28:19.3810426Z test_make_fx_exhaustive_chalf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_methods_invocations.py:14387: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/EmptyTensor.cpp:32.) 2022-11-23T01:28:19.3810989Z op=lambda x, *args, **kwargs: x.chalf(*args, **kwargs), 2022-11-23T01:28:19.3811201Z ok (0.019s) 2022-11-23T01:28:19.3811450Z test_make_fx_exhaustive_char_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.020s) 2022-11-23T01:28:19.3811966Z test_make_fx_exhaustive_cholesky_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... test_proxy_tensor.py:1394: UserWarning: torch.cholesky is deprecated in favor of torch.linalg.cholesky and will be removed in a future PyTorch release. 2022-11-23T01:28:19.3812377Z L = torch.cholesky(A) 2022-11-23T01:28:19.3812573Z should be replaced with 2022-11-23T01:28:19.3812762Z L = torch.linalg.cholesky(A) 2022-11-23T01:28:19.3812946Z and 2022-11-23T01:28:19.3813125Z U = torch.cholesky(A, upper=True) 2022-11-23T01:28:19.3813315Z should be replaced with 2022-11-23T01:28:19.3813522Z U = torch.linalg.cholesky(A).mH(). 2022-11-23T01:28:19.3813943Z This transform will produce equivalent results for all valid (symmetric positive definite) inputs. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:1729.) 2022-11-23T01:28:19.3814309Z return fn(*args, **kwargs) 2022-11-23T01:28:19.3814487Z ok (0.086s) 2022-11-23T01:28:19.3814771Z test_make_fx_exhaustive_cholesky_inverse_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.049s) 2022-11-23T01:28:19.3815134Z test_make_fx_exhaustive_cholesky_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.055s) 2022-11-23T01:28:19.3815502Z test_make_fx_exhaustive_chunk_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s) 2022-11-23T01:28:19.3815856Z test_make_fx_exhaustive_clamp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.025s) 2022-11-23T01:28:19.3816214Z test_make_fx_exhaustive_clamp_max_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s) 2022-11-23T01:28:19.3816564Z test_make_fx_exhaustive_clamp_min_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s) 2022-11-23T01:28:19.3816924Z test_make_fx_exhaustive_clone_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s) 2022-11-23T01:28:19.3817282Z test_make_fx_exhaustive_column_stack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.016s) 2022-11-23T01:28:19.3817655Z test_make_fx_exhaustive_combinations_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.327s) 2022-11-23T01:28:19.3818009Z test_make_fx_exhaustive_complex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s) 2022-11-23T01:28:19.3818362Z test_make_fx_exhaustive_conj_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.009s) 2022-11-23T01:28:19.3818725Z test_make_fx_exhaustive_conj_physical_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.004s) 2022-11-23T01:28:19.3819255Z test_make_fx_exhaustive_constant_pad_nd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.200s) 2022-11-23T01:28:19.3819628Z test_make_fx_exhaustive_contiguous_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.006s) 2022-11-23T01:28:19.3820067Z test_make_fx_exhaustive_copysign_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s) 2022-11-23T01:28:19.3820457Z test_make_fx_exhaustive_corrcoef_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.010s) 2022-11-23T01:28:19.3820819Z test_make_fx_exhaustive_cos_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.3821167Z test_make_fx_exhaustive_cosh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.3821524Z test_make_fx_exhaustive_count_nonzero_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.073s) 2022-11-23T01:28:19.3821945Z test_make_fx_exhaustive_cov_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.008s) 2022-11-23T01:28:19.3822294Z test_make_fx_exhaustive_cross_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.014s) 2022-11-23T01:28:19.3822649Z test_make_fx_exhaustive_cummax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.014s) 2022-11-23T01:28:19.3823003Z test_make_fx_exhaustive_cummin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.014s) 2022-11-23T01:28:19.3823345Z test_make_fx_exhaustive_cumprod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s) 2022-11-23T01:28:19.3823696Z test_make_fx_exhaustive_cumsum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.016s) 2022-11-23T01:28:19.3824070Z test_make_fx_exhaustive_cumulative_trapezoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.086s) 2022-11-23T01:28:19.3824444Z test_make_fx_exhaustive_deg2rad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.3824784Z test_make_fx_exhaustive_diag_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.058s) 2022-11-23T01:28:19.3825144Z test_make_fx_exhaustive_diag_embed_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.058s) 2022-11-23T01:28:19.3825513Z test_make_fx_exhaustive_diagflat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s) 2022-11-23T01:28:19.3825881Z test_make_fx_exhaustive_diagonal_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.056s) 2022-11-23T01:28:19.3826233Z test_make_fx_exhaustive_diagonal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.055s) 2022-11-23T01:28:19.3826602Z test_make_fx_exhaustive_diagonal_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.065s) 2022-11-23T01:28:19.3826965Z test_make_fx_exhaustive_diff_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.683s) 2022-11-23T01:28:19.3827303Z test_make_fx_exhaustive_digamma_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.3827656Z test_make_fx_exhaustive_dist_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.211s) 2022-11-23T01:28:19.3828082Z test_make_fx_exhaustive_div_floor_rounding_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s) 2022-11-23T01:28:19.3828465Z test_make_fx_exhaustive_div_no_rounding_mode_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s) 2022-11-23T01:28:19.3828832Z test_make_fx_exhaustive_div_trunc_rounding_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s) 2022-11-23T01:28:19.3829192Z test_make_fx_exhaustive_dot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.3829545Z test_make_fx_exhaustive_double_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s) 2022-11-23T01:28:19.3829898Z test_make_fx_exhaustive_dsplit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s) 2022-11-23T01:28:19.3830235Z test_make_fx_exhaustive_dstack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s) 2022-11-23T01:28:19.3830584Z test_make_fx_exhaustive_einsum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.105s) 2022-11-23T01:28:19.3830952Z test_make_fx_exhaustive_empty_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.3831373Z test_make_fx_exhaustive_empty_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.3831728Z test_make_fx_exhaustive_eq_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.043s) 2022-11-23T01:28:19.3832094Z test_make_fx_exhaustive_equal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.004s) 2022-11-23T01:28:19.3832457Z test_make_fx_exhaustive_erf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.3832792Z test_make_fx_exhaustive_erfc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.3833140Z test_make_fx_exhaustive_erfinv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.3833543Z test_make_fx_exhaustive_exp2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s) 2022-11-23T01:28:19.3833892Z test_make_fx_exhaustive_exp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.3834234Z test_make_fx_exhaustive_expand_as_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s) 2022-11-23T01:28:19.3834596Z test_make_fx_exhaustive_expand_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s) 2022-11-23T01:28:19.3834946Z test_make_fx_exhaustive_expm1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.3835278Z test_make_fx_exhaustive_eye_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.308s) 2022-11-23T01:28:19.3835632Z test_make_fx_exhaustive_fft_fft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.035s) 2022-11-23T01:28:19.3835983Z test_make_fx_exhaustive_fft_fft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.032s) 2022-11-23T01:28:19.3836338Z test_make_fx_exhaustive_fft_fftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.044s) 2022-11-23T01:28:19.3836685Z test_make_fx_exhaustive_fft_fftshift_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.020s) 2022-11-23T01:28:19.3837049Z test_make_fx_exhaustive_fft_hfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.049s) 2022-11-23T01:28:19.3837405Z test_make_fx_exhaustive_fft_hfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s) 2022-11-23T01:28:19.3837762Z test_make_fx_exhaustive_fft_hfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.060s) 2022-11-23T01:28:19.3838101Z test_make_fx_exhaustive_fft_ifft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.212s) 2022-11-23T01:28:19.3838455Z test_make_fx_exhaustive_fft_ifft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s) 2022-11-23T01:28:19.3838811Z test_make_fx_exhaustive_fft_ifftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.043s) 2022-11-23T01:28:19.3839159Z test_make_fx_exhaustive_fft_ifftshift_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.020s) 2022-11-23T01:28:19.3839519Z test_make_fx_exhaustive_fft_ihfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s) 2022-11-23T01:28:19.3839873Z test_make_fx_exhaustive_fft_ihfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.035s) 2022-11-23T01:28:19.3840232Z test_make_fx_exhaustive_fft_ihfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.046s) 2022-11-23T01:28:19.3840571Z test_make_fx_exhaustive_fft_irfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.033s) 2022-11-23T01:28:19.3840928Z test_make_fx_exhaustive_fft_irfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s) 2022-11-23T01:28:19.3841285Z test_make_fx_exhaustive_fft_irfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.042s) 2022-11-23T01:28:19.3841640Z test_make_fx_exhaustive_fft_rfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.029s) 2022-11-23T01:28:19.3841984Z test_make_fx_exhaustive_fft_rfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s) 2022-11-23T01:28:19.3842338Z test_make_fx_exhaustive_fft_rfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s) 2022-11-23T01:28:19.3842718Z test_make_fx_exhaustive_fill_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.015s) 2022-11-23T01:28:19.3843060Z test_make_fx_exhaustive_flatten_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.020s) 2022-11-23T01:28:19.3843418Z test_make_fx_exhaustive_flip_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s) 2022-11-23T01:28:19.3843775Z test_make_fx_exhaustive_fliplr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s) 2022-11-23T01:28:19.3844124Z test_make_fx_exhaustive_flipud_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s) 2022-11-23T01:28:19.3844462Z test_make_fx_exhaustive_float_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.015s) 2022-11-23T01:28:19.3844852Z test_make_fx_exhaustive_float_power_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.053s) 2022-11-23T01:28:19.3845209Z test_make_fx_exhaustive_floor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.004s) 2022-11-23T01:28:19.3845570Z test_make_fx_exhaustive_floor_divide_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s) 2022-11-23T01:28:19.3845912Z test_make_fx_exhaustive_fmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s) 2022-11-23T01:28:19.3846256Z test_make_fx_exhaustive_fmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s) 2022-11-23T01:28:19.3846597Z test_make_fx_exhaustive_fmod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s) 2022-11-23T01:28:19.3846928Z test_make_fx_exhaustive_frac_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.3847276Z test_make_fx_exhaustive_frexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s) 2022-11-23T01:28:19.3847624Z test_make_fx_exhaustive_full_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.015s) 2022-11-23T01:28:19.3847976Z test_make_fx_exhaustive_full_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.027s) 2022-11-23T01:28:19.3848318Z test_make_fx_exhaustive_gather_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.021s) 2022-11-23T01:28:19.3848670Z test_make_fx_exhaustive_ge_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s) 2022-11-23T01:28:19.3849019Z test_make_fx_exhaustive_geqrf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.164s) 2022-11-23T01:28:19.3849373Z test_make_fx_exhaustive_gradient_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.382s) 2022-11-23T01:28:19.3849730Z test_make_fx_exhaustive_grid_sampler_2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.084s) 2022-11-23T01:28:19.3850160Z test_make_fx_exhaustive_gt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s) 2022-11-23T01:28:19.3850540Z test_make_fx_exhaustive_half_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s) 2022-11-23T01:28:19.3850882Z test_make_fx_exhaustive_heaviside_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s) 2022-11-23T01:28:19.3851242Z test_make_fx_exhaustive_histc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.369s) 2022-11-23T01:28:19.3851595Z test_make_fx_exhaustive_histogram_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.512s) 2022-11-23T01:28:19.3851959Z test_make_fx_exhaustive_histogramdd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.788s) 2022-11-23T01:28:19.3852304Z test_make_fx_exhaustive_hsplit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.3852654Z test_make_fx_exhaustive_hstack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.010s) 2022-11-23T01:28:19.3853002Z test_make_fx_exhaustive_hypot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s) 2022-11-23T01:28:19.3853336Z test_make_fx_exhaustive_i0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s) 2022-11-23T01:28:19.3853680Z test_make_fx_exhaustive_igamma_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s) 2022-11-23T01:28:19.3854036Z test_make_fx_exhaustive_igammac_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s) 2022-11-23T01:28:19.3854428Z test_make_fx_exhaustive_index_add_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.043s) 2022-11-23T01:28:19.3854778Z test_make_fx_exhaustive_index_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.015s) 2022-11-23T01:28:19.3855143Z test_make_fx_exhaustive_index_fill_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s) 2022-11-23T01:28:19.3855501Z test_make_fx_exhaustive_index_put_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.020s) 2022-11-23T01:28:19.3856078Z test_make_fx_exhaustive_index_reduce_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... test_proxy_tensor.py:1394: UserWarning: index_reduce() is in beta and the API may change at any time. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1070.) 2022-11-23T01:28:19.3856584Z return fn(*args, **kwargs) 2022-11-23T01:28:19.3856768Z ok (0.158s) 2022-11-23T01:28:19.3857044Z test_make_fx_exhaustive_index_select_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s) 2022-11-23T01:28:19.3857396Z test_make_fx_exhaustive_inner_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s) 2022-11-23T01:28:19.3857744Z test_make_fx_exhaustive_int_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s) 2022-11-23T01:28:19.3858096Z test_make_fx_exhaustive_isclose_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.228s) 2022-11-23T01:28:19.3858456Z test_make_fx_exhaustive_isfinite_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.020s) 2022-11-23T01:28:19.3858928Z test_make_fx_exhaustive_isin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.009s) 2022-11-23T01:28:19.3859288Z test_make_fx_exhaustive_isinf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.004s) 2022-11-23T01:28:19.3859637Z test_make_fx_exhaustive_isnan_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.004s) 2022-11-23T01:28:19.3859996Z test_make_fx_exhaustive_isneginf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.004s) 2022-11-23T01:28:19.3860343Z test_make_fx_exhaustive_isposinf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.004s) 2022-11-23T01:28:19.3860701Z test_make_fx_exhaustive_isreal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s) 2022-11-23T01:28:19.3861094Z test_make_fx_exhaustive_jiterator_2inputs_2outputs_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:28:19.3861530Z test_make_fx_exhaustive_jiterator_4inputs_with_extra_args_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:28:19.3861963Z test_make_fx_exhaustive_jiterator_binary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:28:19.3862390Z test_make_fx_exhaustive_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:28:19.3862820Z test_make_fx_exhaustive_jiterator_unary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:28:19.3863190Z test_make_fx_exhaustive_kron_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s) 2022-11-23T01:28:19.3863547Z test_make_fx_exhaustive_kthvalue_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.045s) 2022-11-23T01:28:19.3863907Z test_make_fx_exhaustive_ldexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s) 2022-11-23T01:28:19.3864254Z test_make_fx_exhaustive_le_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s) 2022-11-23T01:28:19.3864592Z test_make_fx_exhaustive_lerp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.063s) 2022-11-23T01:28:19.3864946Z test_make_fx_exhaustive_lgamma_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.3865317Z test_make_fx_exhaustive_linalg_cholesky_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.098s) 2022-11-23T01:28:19.3865753Z test_make_fx_exhaustive_linalg_cholesky_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.073s) 2022-11-23T01:28:19.3866115Z test_make_fx_exhaustive_linalg_cond_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.027s) 2022-11-23T01:28:19.3866483Z test_make_fx_exhaustive_linalg_cross_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s) 2022-11-23T01:28:19.3866846Z test_make_fx_exhaustive_linalg_det_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s) 2022-11-23T01:28:19.3867221Z test_make_fx_exhaustive_linalg_det_singular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.161s) 2022-11-23T01:28:19.3867615Z test_make_fx_exhaustive_linalg_eig_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s) 2022-11-23T01:28:19.3868070Z test_make_fx_exhaustive_linalg_eigh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s) 2022-11-23T01:28:19.3868438Z test_make_fx_exhaustive_linalg_eigvals_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s) 2022-11-23T01:28:19.3868797Z test_make_fx_exhaustive_linalg_eigvalsh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s) 2022-11-23T01:28:19.3869187Z test_make_fx_exhaustive_linalg_householder_product_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s) 2022-11-23T01:28:19.3869567Z test_make_fx_exhaustive_linalg_inv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s) 2022-11-23T01:28:19.3869935Z test_make_fx_exhaustive_linalg_inv_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s) 2022-11-23T01:28:19.3870290Z test_make_fx_exhaustive_linalg_ldl_factor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.024s) 2022-11-23T01:28:19.3870675Z test_make_fx_exhaustive_linalg_ldl_factor_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.021s) 2022-11-23T01:28:19.3871167Z test_make_fx_exhaustive_linalg_ldl_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.078s) 2022-11-23T01:28:19.3871596Z test_make_fx_exhaustive_linalg_lstsq_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.3871989Z test_make_fx_exhaustive_linalg_lstsq_grad_oriented_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.3872376Z test_make_fx_exhaustive_linalg_lu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.088s) 2022-11-23T01:28:19.3872743Z test_make_fx_exhaustive_linalg_lu_factor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.089s) 2022-11-23T01:28:19.3873114Z test_make_fx_exhaustive_linalg_lu_factor_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.079s) 2022-11-23T01:28:19.3873475Z test_make_fx_exhaustive_linalg_lu_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.488s) 2022-11-23T01:28:19.3873849Z test_make_fx_exhaustive_linalg_matrix_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.380s) 2022-11-23T01:28:19.3874229Z test_make_fx_exhaustive_linalg_matrix_power_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.172s) 2022-11-23T01:28:19.3874594Z test_make_fx_exhaustive_linalg_matrix_rank_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.674s) 2022-11-23T01:28:19.3874978Z test_make_fx_exhaustive_linalg_matrix_rank_hermitian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.075s) 2022-11-23T01:28:19.3875369Z test_make_fx_exhaustive_linalg_multi_dot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.045s) 2022-11-23T01:28:19.3875734Z test_make_fx_exhaustive_linalg_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.477s) 2022-11-23T01:28:19.3876108Z test_make_fx_exhaustive_linalg_norm_subgradients_at_zero_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.351s) 2022-11-23T01:28:19.3876495Z test_make_fx_exhaustive_linalg_pinv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.119s) 2022-11-23T01:28:19.3876868Z test_make_fx_exhaustive_linalg_pinv_hermitian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.034s) 2022-11-23T01:28:19.3877367Z test_make_fx_exhaustive_linalg_pinv_singular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:28:19.3877783Z test_make_fx_exhaustive_linalg_qr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.175s) 2022-11-23T01:28:19.3878145Z test_make_fx_exhaustive_linalg_slogdet_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.055s) 2022-11-23T01:28:19.3878513Z test_make_fx_exhaustive_linalg_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.118s) 2022-11-23T01:28:19.3878882Z test_make_fx_exhaustive_linalg_solve_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.113s) 2022-11-23T01:28:19.3879278Z test_make_fx_exhaustive_linalg_solve_triangular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.459s) 2022-11-23T01:28:19.3879651Z test_make_fx_exhaustive_linalg_svd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.546s) 2022-11-23T01:28:19.3880018Z test_make_fx_exhaustive_linalg_svdvals_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.182s) 2022-11-23T01:28:19.3880391Z test_make_fx_exhaustive_linalg_tensorinv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.016s) 2022-11-23T01:28:19.3880753Z test_make_fx_exhaustive_linalg_tensorsolve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s) 2022-11-23T01:28:19.3881126Z test_make_fx_exhaustive_linalg_vander_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.072s) 2022-11-23T01:28:19.3881492Z test_make_fx_exhaustive_linalg_vecdot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.219s) 2022-11-23T01:28:19.3881855Z test_make_fx_exhaustive_linalg_vector_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.381s) 2022-11-23T01:28:19.3882221Z test_make_fx_exhaustive_linspace_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.164s) 2022-11-23T01:28:19.3882574Z test_make_fx_exhaustive_log10_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.3882920Z test_make_fx_exhaustive_log1p_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.3883254Z test_make_fx_exhaustive_log2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.3883597Z test_make_fx_exhaustive_log_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.3883951Z test_make_fx_exhaustive_log_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.024s) 2022-11-23T01:28:19.3884327Z test_make_fx_exhaustive_log_softmax_with_dtype_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s) 2022-11-23T01:28:19.3884692Z test_make_fx_exhaustive_logaddexp2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.3885056Z test_make_fx_exhaustive_logaddexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.3885423Z test_make_fx_exhaustive_logcumsumexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s) 2022-11-23T01:28:19.3885774Z test_make_fx_exhaustive_logdet_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.077s) 2022-11-23T01:28:19.3886134Z test_make_fx_exhaustive_logical_and_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s) 2022-11-23T01:28:19.3886495Z test_make_fx_exhaustive_logical_not_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s) 2022-11-23T01:28:19.3886855Z test_make_fx_exhaustive_logical_or_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s) 2022-11-23T01:28:19.3887202Z test_make_fx_exhaustive_logical_xor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s) 2022-11-23T01:28:19.3887557Z test_make_fx_exhaustive_logit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s) 2022-11-23T01:28:19.3887911Z test_make_fx_exhaustive_logspace_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.358s) 2022-11-23T01:28:19.3888301Z test_make_fx_exhaustive_logsumexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.064s) 2022-11-23T01:28:19.3888643Z test_make_fx_exhaustive_long_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s) 2022-11-23T01:28:19.3888986Z test_make_fx_exhaustive_lt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s) 2022-11-23T01:28:19.3889761Z test_make_fx_exhaustive_lu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/functional.py:1727: UserWarning: torch.lu is deprecated in favor of torch.linalg.lu_factor / torch.linalg.lu_factor_ex and will be removed in a future PyTorch release. 2022-11-23T01:28:19.3890243Z LU, pivots = torch.lu(A, compute_pivots) 2022-11-23T01:28:19.3890472Z should be replaced with 2022-11-23T01:28:19.3890705Z LU, pivots = torch.linalg.lu_factor(A, compute_pivots) 2022-11-23T01:28:19.3890910Z and 2022-11-23T01:28:19.3891113Z LU, pivots, info = torch.lu(A, compute_pivots, get_infos=True) 2022-11-23T01:28:19.3891343Z should be replaced with 2022-11-23T01:28:19.3891699Z LU, pivots, info = torch.linalg.lu_factor_ex(A, compute_pivots) (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2028.) 2022-11-23T01:28:19.3892084Z return torch._lu_with_info(A, pivot=pivot, check_errors=(not get_infos)) 2022-11-23T01:28:19.3892310Z ok (0.173s) 2022-11-23T01:28:19.3892719Z test_make_fx_exhaustive_lu_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... test_proxy_tensor.py:1394: UserWarning: torch.lu_solve is deprecated in favor of torch.linalg.lu_solveand will be removed in a future PyTorch release. 2022-11-23T01:28:19.3893170Z Note that torch.linalg.lu_solve has its arguments reversed. 2022-11-23T01:28:19.3893397Z X = torch.lu_solve(B, LU, pivots) 2022-11-23T01:28:19.3893596Z should be replaced with 2022-11-23T01:28:19.3893932Z X = torch.linalg.lu_solve(LU, pivots, B) (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2182.) 2022-11-23T01:28:19.3894241Z return fn(*args, **kwargs) 2022-11-23T01:28:19.3894418Z ok (0.327s) 2022-11-23T01:28:19.3894688Z test_make_fx_exhaustive_lu_unpack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.091s) 2022-11-23T01:28:19.3895045Z test_make_fx_exhaustive_mH_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s) 2022-11-23T01:28:19.3895380Z test_make_fx_exhaustive_mT_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.021s) 2022-11-23T01:28:19.3895737Z test_make_fx_exhaustive_masked_amax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.564s) 2022-11-23T01:28:19.3896099Z test_make_fx_exhaustive_masked_amin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.571s) 2022-11-23T01:28:19.3896448Z test_make_fx_exhaustive_masked_argmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.388s) 2022-11-23T01:28:19.3896812Z test_make_fx_exhaustive_masked_argmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.385s) 2022-11-23T01:28:19.3897185Z test_make_fx_exhaustive_masked_cumprod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.077s) 2022-11-23T01:28:19.3897553Z test_make_fx_exhaustive_masked_cumsum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.076s) 2022-11-23T01:28:19.3897900Z test_make_fx_exhaustive_masked_fill_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s) 2022-11-23T01:28:19.3898272Z test_make_fx_exhaustive_masked_log_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.102s) 2022-11-23T01:28:19.3898655Z test_make_fx_exhaustive_masked_logaddexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.104s) 2022-11-23T01:28:19.3899275Z test_make_fx_exhaustive_masked_logsumexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.611s) 2022-11-23T01:28:19.3899631Z test_make_fx_exhaustive_masked_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.963s) 2022-11-23T01:28:19.3900005Z test_make_fx_exhaustive_masked_median_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.110s) 2022-11-23T01:28:19.3900438Z test_make_fx_exhaustive_masked_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.641s) 2022-11-23T01:28:19.3900797Z test_make_fx_exhaustive_masked_normalize_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.203s) 2022-11-23T01:28:19.3901165Z test_make_fx_exhaustive_masked_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.631s) 2022-11-23T01:28:19.3901537Z test_make_fx_exhaustive_masked_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.020s) 2022-11-23T01:28:19.3901914Z test_make_fx_exhaustive_masked_select_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.031s) 2022-11-23T01:28:19.3902314Z test_make_fx_exhaustive_masked_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.102s) 2022-11-23T01:28:19.3902680Z test_make_fx_exhaustive_masked_softmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.115s) 2022-11-23T01:28:19.3903042Z test_make_fx_exhaustive_masked_std_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.727s) 2022-11-23T01:28:19.3903399Z test_make_fx_exhaustive_masked_sum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.590s) 2022-11-23T01:28:19.3903746Z test_make_fx_exhaustive_masked_var_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.630s) 2022-11-23T01:28:19.3904104Z test_make_fx_exhaustive_matmul_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.093s) 2022-11-23T01:28:19.3904461Z test_make_fx_exhaustive_matrix_exp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.3904803Z test_make_fx_exhaustive_max_binary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s) 2022-11-23T01:28:19.3905189Z test_make_fx_exhaustive_max_pool2d_with_indices_backward_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.937s) 2022-11-23T01:28:19.3905587Z test_make_fx_exhaustive_max_reduction_no_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s) 2022-11-23T01:28:19.3905977Z test_make_fx_exhaustive_max_reduction_with_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s) 2022-11-23T01:28:19.3906334Z test_make_fx_exhaustive_maximum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s) 2022-11-23T01:28:19.3906685Z test_make_fx_exhaustive_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.075s) 2022-11-23T01:28:19.3907036Z test_make_fx_exhaustive_median_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.055s) 2022-11-23T01:28:19.3907412Z test_make_fx_exhaustive_meshgrid_list_of_tensors_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.076s) 2022-11-23T01:28:19.3907791Z test_make_fx_exhaustive_meshgrid_variadic_tensors_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.075s) 2022-11-23T01:28:19.3908242Z test_make_fx_exhaustive_min_binary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s) 2022-11-23T01:28:19.3908613Z test_make_fx_exhaustive_min_reduction_no_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.009s) 2022-11-23T01:28:19.3908996Z test_make_fx_exhaustive_min_reduction_with_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s) 2022-11-23T01:28:19.3909352Z test_make_fx_exhaustive_minimum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s) 2022-11-23T01:28:19.3909703Z test_make_fx_exhaustive_mm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.3910054Z test_make_fx_exhaustive_mode_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.032s) 2022-11-23T01:28:19.3910395Z test_make_fx_exhaustive_movedim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.009s) 2022-11-23T01:28:19.3910749Z test_make_fx_exhaustive_msort_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.3911102Z test_make_fx_exhaustive_mul_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s) 2022-11-23T01:28:19.3911457Z test_make_fx_exhaustive_multinomial_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s) 2022-11-23T01:28:19.3911830Z test_make_fx_exhaustive_mv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.3912199Z test_make_fx_exhaustive_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s) 2022-11-23T01:28:19.3912584Z test_make_fx_exhaustive_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s) 2022-11-23T01:28:19.3912964Z test_make_fx_exhaustive_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s) 2022-11-23T01:28:19.3913324Z test_make_fx_exhaustive_nan_to_num_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s) 2022-11-23T01:28:19.3913730Z test_make_fx_exhaustive_nanmean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.295s) 2022-11-23T01:28:19.3914089Z test_make_fx_exhaustive_nanmedian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.056s) 2022-11-23T01:28:19.3914459Z test_make_fx_exhaustive_nanquantile_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.008s) 2022-11-23T01:28:19.3914843Z test_make_fx_exhaustive_nansum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.128s) 2022-11-23T01:28:19.3915206Z test_make_fx_exhaustive_narrow_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.020s) 2022-11-23T01:28:19.3915584Z test_make_fx_exhaustive_narrow_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.007s) 2022-11-23T01:28:19.3915951Z test_make_fx_exhaustive_native_batch_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.076s) 2022-11-23T01:28:19.3916341Z test_make_fx_exhaustive_native_dropout_backward_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s) 2022-11-23T01:28:19.3916723Z test_make_fx_exhaustive_native_layer_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.118s) 2022-11-23T01:28:19.3917084Z test_make_fx_exhaustive_ne_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s) 2022-11-23T01:28:19.3917537Z test_make_fx_exhaustive_neg_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.004s) 2022-11-23T01:28:19.3917986Z test_make_fx_exhaustive_new_empty_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.3918427Z test_make_fx_exhaustive_new_empty_strided_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:28:19.3918849Z test_make_fx_exhaustive_new_full_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.029s) 2022-11-23T01:28:19.3919197Z test_make_fx_exhaustive_new_ones_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.028s) 2022-11-23T01:28:19.3919560Z test_make_fx_exhaustive_new_zeros_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.029s) 2022-11-23T01:28:19.3919925Z test_make_fx_exhaustive_nextafter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s) 2022-11-23T01:28:19.3920312Z test_make_fx_exhaustive_nn_functional__scaled_dot_product_attention_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.381s) 2022-11-23T01:28:19.3920734Z test_make_fx_exhaustive_nn_functional_adaptive_avg_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.035s) 2022-11-23T01:28:19.3921147Z test_make_fx_exhaustive_nn_functional_adaptive_avg_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s) 2022-11-23T01:28:19.3921556Z test_make_fx_exhaustive_nn_functional_adaptive_avg_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.052s) 2022-11-23T01:28:19.3921944Z test_make_fx_exhaustive_nn_functional_adaptive_max_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.057s) 2022-11-23T01:28:19.3922342Z test_make_fx_exhaustive_nn_functional_adaptive_max_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.114s) 2022-11-23T01:28:19.3922745Z test_make_fx_exhaustive_nn_functional_adaptive_max_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.099s) 2022-11-23T01:28:19.3923183Z test_make_fx_exhaustive_nn_functional_alpha_dropout_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.089s) 2022-11-23T01:28:19.3923565Z test_make_fx_exhaustive_nn_functional_avg_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.053s) 2022-11-23T01:28:19.3923954Z test_make_fx_exhaustive_nn_functional_avg_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.033s) 2022-11-23T01:28:19.3924347Z test_make_fx_exhaustive_nn_functional_avg_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s) 2022-11-23T01:28:19.3924737Z test_make_fx_exhaustive_nn_functional_batch_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.097s) 2022-11-23T01:28:19.3925147Z test_make_fx_exhaustive_nn_functional_bilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.146s) 2022-11-23T01:28:19.3925551Z test_make_fx_exhaustive_nn_functional_binary_cross_entropy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.052s) 2022-11-23T01:28:19.3925971Z test_make_fx_exhaustive_nn_functional_binary_cross_entropy_with_logits_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.132s) 2022-11-23T01:28:19.3926372Z test_make_fx_exhaustive_nn_functional_celu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.3926742Z test_make_fx_exhaustive_nn_functional_conv1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.066s) 2022-11-23T01:28:19.3927621Z test_make_fx_exhaustive_nn_functional_conv2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... test_proxy_tensor.py:1394: UserWarning: Using padding='same' with even kernel lengths and odd dilation may require a zero-padded copy of the input be created (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Convolution.cpp:996.) 2022-11-23T01:28:19.3928141Z return fn(*args, **kwargs) 2022-11-23T01:28:19.3928323Z ok (0.234s) 2022-11-23T01:28:19.3928602Z test_make_fx_exhaustive_nn_functional_conv_transpose1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.062s) 2022-11-23T01:28:19.3929007Z test_make_fx_exhaustive_nn_functional_conv_transpose2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.078s) 2022-11-23T01:28:19.3929408Z test_make_fx_exhaustive_nn_functional_conv_transpose3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.073s) 2022-11-23T01:28:19.3929819Z test_make_fx_exhaustive_nn_functional_cosine_embedding_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.135s) 2022-11-23T01:28:19.3930212Z test_make_fx_exhaustive_nn_functional_cosine_similarity_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.139s) 2022-11-23T01:28:19.3930610Z test_make_fx_exhaustive_nn_functional_cross_entropy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.148s) 2022-11-23T01:28:19.3931004Z test_make_fx_exhaustive_nn_functional_ctc_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.060s) 2022-11-23T01:28:19.3932189Z test_make_fx_exhaustive_nn_functional_dropout2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead. 2022-11-23T01:28:19.3933063Z warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise " 2022-11-23T01:28:19.3933307Z ok (0.060s) 2022-11-23T01:28:19.3933595Z test_make_fx_exhaustive_nn_functional_dropout3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.071s) 2022-11-23T01:28:19.3933983Z test_make_fx_exhaustive_nn_functional_dropout_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.082s) 2022-11-23T01:28:19.3934354Z test_make_fx_exhaustive_nn_functional_elu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.3934804Z test_make_fx_exhaustive_nn_functional_embedding_bag_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.415s) 2022-11-23T01:28:19.3935205Z test_make_fx_exhaustive_nn_functional_embedding_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.052s) 2022-11-23T01:28:19.3935620Z test_make_fx_exhaustive_nn_functional_feature_alpha_dropout_with_train_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.043s) 2022-11-23T01:28:19.3936050Z test_make_fx_exhaustive_nn_functional_feature_alpha_dropout_without_train_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.033s) 2022-11-23T01:28:19.3936516Z test_make_fx_exhaustive_nn_functional_fractional_max_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.232s) 2022-11-23T01:28:19.3936931Z test_make_fx_exhaustive_nn_functional_fractional_max_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.312s) 2022-11-23T01:28:19.3937352Z test_make_fx_exhaustive_nn_functional_gaussian_nll_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.006s) 2022-11-23T01:28:19.3937743Z test_make_fx_exhaustive_nn_functional_gelu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.033s) 2022-11-23T01:28:19.3938120Z test_make_fx_exhaustive_nn_functional_glu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.178s) 2022-11-23T01:28:19.3938509Z test_make_fx_exhaustive_nn_functional_grid_sample_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.144s) 2022-11-23T01:28:19.3939076Z test_make_fx_exhaustive_nn_functional_group_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.130s) 2022-11-23T01:28:19.3939464Z test_make_fx_exhaustive_nn_functional_hardshrink_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s) 2022-11-23T01:28:19.3939858Z test_make_fx_exhaustive_nn_functional_hardsigmoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s) 2022-11-23T01:28:19.3940255Z test_make_fx_exhaustive_nn_functional_hardswish_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.016s) 2022-11-23T01:28:19.3940649Z test_make_fx_exhaustive_nn_functional_hardtanh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s) 2022-11-23T01:28:19.3941034Z test_make_fx_exhaustive_nn_functional_hinge_embedding_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.125s) 2022-11-23T01:28:19.3941433Z test_make_fx_exhaustive_nn_functional_huber_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s) 2022-11-23T01:28:19.3941821Z test_make_fx_exhaustive_nn_functional_instance_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.166s) 2022-11-23T01:28:19.3942219Z test_make_fx_exhaustive_nn_functional_interpolate_area_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.060s) 2022-11-23T01:28:19.3942610Z test_make_fx_exhaustive_nn_functional_interpolate_bicubic_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.051s) 2022-11-23T01:28:19.3943017Z test_make_fx_exhaustive_nn_functional_interpolate_bilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.051s) 2022-11-23T01:28:19.3943422Z test_make_fx_exhaustive_nn_functional_interpolate_linear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.049s) 2022-11-23T01:28:19.3943825Z test_make_fx_exhaustive_nn_functional_interpolate_nearest_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.051s) 2022-11-23T01:28:19.3944219Z test_make_fx_exhaustive_nn_functional_interpolate_trilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.052s) 2022-11-23T01:28:19.3945201Z test_make_fx_exhaustive_nn_functional_kl_div_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2921: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-11-23T01:28:19.3945972Z "reduction: 'mean' divides the total loss by both the batch size and the support size." 2022-11-23T01:28:19.3946219Z ok (0.109s) 2022-11-23T01:28:19.3946488Z test_make_fx_exhaustive_nn_functional_l1_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s) 2022-11-23T01:28:19.3946872Z test_make_fx_exhaustive_nn_functional_layer_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s) 2022-11-23T01:28:19.3947264Z test_make_fx_exhaustive_nn_functional_leaky_relu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.033s) 2022-11-23T01:28:19.3947647Z test_make_fx_exhaustive_nn_functional_linear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.102s) 2022-11-23T01:28:19.3948149Z test_make_fx_exhaustive_nn_functional_local_response_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.117s) 2022-11-23T01:28:19.3948547Z test_make_fx_exhaustive_nn_functional_logsigmoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.014s) 2022-11-23T01:28:19.3948943Z test_make_fx_exhaustive_nn_functional_margin_ranking_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.205s) 2022-11-23T01:28:19.3949338Z test_make_fx_exhaustive_nn_functional_max_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.763s) 2022-11-23T01:28:19.3949711Z test_make_fx_exhaustive_nn_functional_max_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.526s) 2022-11-23T01:28:19.3950099Z test_make_fx_exhaustive_nn_functional_max_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.746s) 2022-11-23T01:28:19.3950508Z test_make_fx_exhaustive_nn_functional_max_unpool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.3950926Z test_make_fx_exhaustive_nn_functional_max_unpool1d_grad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.137s) 2022-11-23T01:28:19.3951325Z test_make_fx_exhaustive_nn_functional_max_unpool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:28:19.3951736Z test_make_fx_exhaustive_nn_functional_max_unpool2d_grad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.176s) 2022-11-23T01:28:19.3952146Z test_make_fx_exhaustive_nn_functional_max_unpool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.3952547Z test_make_fx_exhaustive_nn_functional_max_unpool3d_grad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.097s) 2022-11-23T01:28:19.3952928Z test_make_fx_exhaustive_nn_functional_mish_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s) 2022-11-23T01:28:19.3953305Z test_make_fx_exhaustive_nn_functional_mse_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.025s) 2022-11-23T01:28:19.3953698Z test_make_fx_exhaustive_nn_functional_multi_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.021s) 2022-11-23T01:28:19.3954100Z test_make_fx_exhaustive_nn_functional_multilabel_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.015s) 2022-11-23T01:28:19.3954505Z test_make_fx_exhaustive_nn_functional_multilabel_soft_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.058s) 2022-11-23T01:28:19.3954910Z test_make_fx_exhaustive_nn_functional_nll_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.310s) 2022-11-23T01:28:19.3955297Z test_make_fx_exhaustive_nn_functional_normalize_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.053s) 2022-11-23T01:28:19.3955676Z test_make_fx_exhaustive_nn_functional_pad_circular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.107s) 2022-11-23T01:28:19.3956069Z test_make_fx_exhaustive_nn_functional_pad_constant_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.200s) 2022-11-23T01:28:19.3956460Z test_make_fx_exhaustive_nn_functional_pad_reflect_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.050s) 2022-11-23T01:28:19.3956855Z test_make_fx_exhaustive_nn_functional_pad_replicate_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.049s) 2022-11-23T01:28:19.3957276Z test_make_fx_exhaustive_nn_functional_pairwise_distance_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.042s) 2022-11-23T01:28:19.3957669Z test_make_fx_exhaustive_nn_functional_pdist_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.033s) 2022-11-23T01:28:19.3958053Z test_make_fx_exhaustive_nn_functional_pixel_shuffle_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.020s) 2022-11-23T01:28:19.3958447Z test_make_fx_exhaustive_nn_functional_pixel_unshuffle_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s) 2022-11-23T01:28:19.3958831Z test_make_fx_exhaustive_nn_functional_poisson_nll_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.812s) 2022-11-23T01:28:19.3959247Z test_make_fx_exhaustive_nn_functional_prelu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.096s) 2022-11-23T01:28:19.3959625Z test_make_fx_exhaustive_nn_functional_relu6_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.3960001Z test_make_fx_exhaustive_nn_functional_relu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.015s) 2022-11-23T01:28:19.3960363Z test_make_fx_exhaustive_nn_functional_rrelu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s) 2022-11-23T01:28:19.3960735Z test_make_fx_exhaustive_nn_functional_selu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s) 2022-11-23T01:28:19.3961108Z test_make_fx_exhaustive_nn_functional_silu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s) 2022-11-23T01:28:19.3961488Z test_make_fx_exhaustive_nn_functional_smooth_l1_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.034s) 2022-11-23T01:28:19.3961874Z test_make_fx_exhaustive_nn_functional_soft_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.027s) 2022-11-23T01:28:19.3962263Z test_make_fx_exhaustive_nn_functional_softmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.028s) 2022-11-23T01:28:19.3962655Z test_make_fx_exhaustive_nn_functional_softmin_with_dtype_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.033s) 2022-11-23T01:28:19.3963051Z test_make_fx_exhaustive_nn_functional_softplus_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.3963426Z test_make_fx_exhaustive_nn_functional_softshrink_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s) 2022-11-23T01:28:19.3963810Z test_make_fx_exhaustive_nn_functional_softsign_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.016s) 2022-11-23T01:28:19.3964198Z test_make_fx_exhaustive_nn_functional_tanhshrink_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.014s) 2022-11-23T01:28:19.3964578Z test_make_fx_exhaustive_nn_functional_threshold_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s) 2022-11-23T01:28:19.3964972Z test_make_fx_exhaustive_nn_functional_triplet_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.087s) 2022-11-23T01:28:19.3965393Z test_make_fx_exhaustive_nn_functional_triplet_margin_with_distance_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.089s) 2022-11-23T01:28:19.3965798Z test_make_fx_exhaustive_nn_functional_unfold_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.419s) 2022-11-23T01:28:19.3966557Z test_make_fx_exhaustive_nn_functional_upsample_bilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4074: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead. 2022-11-23T01:28:19.3967118Z warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.") 2022-11-23T01:28:19.3967400Z ok (0.018s) 2022-11-23T01:28:19.3968090Z test_make_fx_exhaustive_nn_functional_upsample_nearest_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4018: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead. 2022-11-23T01:28:19.3968661Z warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.") 2022-11-23T01:28:19.3968927Z ok (0.052s) 2022-11-23T01:28:19.3969192Z test_make_fx_exhaustive_nonzero_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.108s) 2022-11-23T01:28:19.3969547Z test_make_fx_exhaustive_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.159s) 2022-11-23T01:28:19.3969891Z test_make_fx_exhaustive_norm_fro_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.3970249Z test_make_fx_exhaustive_norm_inf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.015s) 2022-11-23T01:28:19.3970639Z test_make_fx_exhaustive_norm_nuc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.016s) 2022-11-23T01:28:19.3970997Z test_make_fx_exhaustive_normal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s) 2022-11-23T01:28:19.3971356Z test_make_fx_exhaustive_normal_number_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.3971723Z test_make_fx_exhaustive_ones_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s) 2022-11-23T01:28:19.3972079Z test_make_fx_exhaustive_ones_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.026s) 2022-11-23T01:28:19.3972442Z test_make_fx_exhaustive_ormqr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.496s) 2022-11-23T01:28:19.3972780Z test_make_fx_exhaustive_outer_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.006s) 2022-11-23T01:28:19.3996630Z test_make_fx_exhaustive_pca_lowrank_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (5.049s) 2022-11-23T01:28:19.3997035Z test_make_fx_exhaustive_permute_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s) 2022-11-23T01:28:19.3997387Z test_make_fx_exhaustive_pinverse_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.049s) 2022-11-23T01:28:19.3997753Z test_make_fx_exhaustive_polar_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s) 2022-11-23T01:28:19.3998128Z test_make_fx_exhaustive_polygamma_polygamma_n_0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s) 2022-11-23T01:28:19.3998525Z test_make_fx_exhaustive_polygamma_polygamma_n_1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s) 2022-11-23T01:28:19.3998904Z test_make_fx_exhaustive_polygamma_polygamma_n_2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s) 2022-11-23T01:28:19.3999293Z test_make_fx_exhaustive_polygamma_polygamma_n_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s) 2022-11-23T01:28:19.3999693Z test_make_fx_exhaustive_polygamma_polygamma_n_4_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s) 2022-11-23T01:28:19.4000050Z test_make_fx_exhaustive_positive_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.004s) 2022-11-23T01:28:19.4000406Z test_make_fx_exhaustive_pow_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s) 2022-11-23T01:28:19.4000754Z test_make_fx_exhaustive_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.138s) 2022-11-23T01:28:19.4001099Z test_make_fx_exhaustive_put_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.101s) 2022-11-23T01:28:19.4001567Z test_make_fx_exhaustive_qr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... test_proxy_tensor.py:1394: UserWarning: torch.qr is deprecated in favor of torch.linalg.qr and will be removed in a future PyTorch release. 2022-11-23T01:28:19.4002129Z The boolean parameter 'some' has been replaced with a string parameter 'mode'. 2022-11-23T01:28:19.4002382Z Q, R = torch.qr(A, some) 2022-11-23T01:28:19.4002572Z should be replaced with 2022-11-23T01:28:19.4003033Z Q, R = torch.linalg.qr(A, 'reduced' if some else 'complete') (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2458.) 2022-11-23T01:28:19.4003373Z return fn(*args, **kwargs) 2022-11-23T01:28:19.4003555Z ok (0.171s) 2022-11-23T01:28:19.4003971Z test_make_fx_exhaustive_quantile_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.008s) 2022-11-23T01:28:19.4004348Z test_make_fx_exhaustive_rad2deg_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4004712Z test_make_fx_exhaustive_rand_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s) 2022-11-23T01:28:19.4005072Z test_make_fx_exhaustive_randint_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.063s) 2022-11-23T01:28:19.4005420Z test_make_fx_exhaustive_randint_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.060s) 2022-11-23T01:28:19.4005831Z test_make_fx_exhaustive_randn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.010s) 2022-11-23T01:28:19.4006193Z test_make_fx_exhaustive_randn_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.029s) 2022-11-23T01:28:19.4006536Z test_make_fx_exhaustive_ravel_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.4006883Z test_make_fx_exhaustive_real_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.009s) 2022-11-23T01:28:19.4007240Z test_make_fx_exhaustive_reciprocal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s) 2022-11-23T01:28:19.4007602Z test_make_fx_exhaustive_remainder_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s) 2022-11-23T01:28:19.4007947Z test_make_fx_exhaustive_renorm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s) 2022-11-23T01:28:19.4008297Z test_make_fx_exhaustive_repeat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.152s) 2022-11-23T01:28:19.4008668Z test_make_fx_exhaustive_repeat_interleave_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.032s) 2022-11-23T01:28:19.4009034Z test_make_fx_exhaustive_reshape_as_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s) 2022-11-23T01:28:19.4009375Z test_make_fx_exhaustive_reshape_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.027s) 2022-11-23T01:28:19.4009731Z test_make_fx_exhaustive_resize__cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.014s) 2022-11-23T01:28:19.4010082Z test_make_fx_exhaustive_resize_as__cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.015s) 2022-11-23T01:28:19.4010431Z test_make_fx_exhaustive_resolve_conj_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.006s) 2022-11-23T01:28:19.4010792Z test_make_fx_exhaustive_resolve_neg_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.006s) 2022-11-23T01:28:19.4011141Z test_make_fx_exhaustive_roll_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.062s) 2022-11-23T01:28:19.4011487Z test_make_fx_exhaustive_rot90_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.134s) 2022-11-23T01:28:19.4011822Z test_make_fx_exhaustive_round_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4012186Z test_make_fx_exhaustive_round_decimals_0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s) 2022-11-23T01:28:19.4012559Z test_make_fx_exhaustive_round_decimals_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s) 2022-11-23T01:28:19.4012930Z test_make_fx_exhaustive_round_decimals_neg_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.4013281Z test_make_fx_exhaustive_rsqrt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s) 2022-11-23T01:28:19.4013626Z test_make_fx_exhaustive_rsub_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s) 2022-11-23T01:28:19.4013984Z test_make_fx_exhaustive_scalar_tensor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s) 2022-11-23T01:28:19.4014337Z test_make_fx_exhaustive_scatter_add_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s) 2022-11-23T01:28:19.4014692Z test_make_fx_exhaustive_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.113s) 2022-11-23T01:28:19.4015301Z test_make_fx_exhaustive_scatter_reduce_amax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... test_proxy_tensor.py:1394: UserWarning: scatter_reduce() is in beta and the API may change at any time. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1681.) 2022-11-23T01:28:19.4015793Z return fn(*args, **kwargs) 2022-11-23T01:28:19.4015957Z ok (0.104s) 2022-11-23T01:28:19.4016233Z test_make_fx_exhaustive_scatter_reduce_amin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.103s) 2022-11-23T01:28:19.4016616Z test_make_fx_exhaustive_scatter_reduce_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.106s) 2022-11-23T01:28:19.4017045Z test_make_fx_exhaustive_scatter_reduce_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.104s) 2022-11-23T01:28:19.4017411Z test_make_fx_exhaustive_scatter_reduce_sum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.104s) 2022-11-23T01:28:19.4018610Z test_make_fx_exhaustive_searchsorted_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... test_proxy_tensor.py:1394: UserWarning: torch.searchsorted(): input value tensor is non-contiguous, this will lower the performance due to extra data copy when converting non-contiguous tensor to contiguous, please use contiguous input value tensor if possible. This message will only appear once per program. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BucketizationUtils.h:35.) 2022-11-23T01:28:19.4019406Z return fn(*args, **kwargs) 2022-11-23T01:28:19.4020258Z test_proxy_tensor.py:1394: UserWarning: torch.searchsorted(): boundary tensor is non-contiguous, this will lower the performance due to extra data copy when converting non-contiguous tensor to contiguous, please use contiguous boundary tensor if possible. This message will only appear once per program. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BucketizationUtils.h:41.) 2022-11-23T01:28:19.4020826Z return fn(*args, **kwargs) 2022-11-23T01:28:19.4020991Z ok (0.444s) 2022-11-23T01:28:19.4021278Z test_make_fx_exhaustive_segment_reduce_lengths_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.408s) 2022-11-23T01:28:19.4021670Z test_make_fx_exhaustive_segment_reduce_offsets_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.405s) 2022-11-23T01:28:19.4022043Z test_make_fx_exhaustive_select_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s) 2022-11-23T01:28:19.4022396Z test_make_fx_exhaustive_select_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s) 2022-11-23T01:28:19.4022759Z test_make_fx_exhaustive_sgn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.004s) 2022-11-23T01:28:19.4023111Z test_make_fx_exhaustive_short_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s) 2022-11-23T01:28:19.4023452Z test_make_fx_exhaustive_sigmoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s) 2022-11-23T01:28:19.4023804Z test_make_fx_exhaustive_sign_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4024174Z test_make_fx_exhaustive_signal_windows_cosine_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.053s) 2022-11-23T01:28:19.4024564Z test_make_fx_exhaustive_signal_windows_exponential_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.068s) 2022-11-23T01:28:19.4024945Z test_make_fx_exhaustive_signal_windows_gaussian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.069s) 2022-11-23T01:28:19.4025328Z test_make_fx_exhaustive_signal_windows_kaiser_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.091s) 2022-11-23T01:28:19.4025694Z test_make_fx_exhaustive_signbit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.004s) 2022-11-23T01:28:19.4026043Z test_make_fx_exhaustive_sin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4026374Z test_make_fx_exhaustive_sinc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s) 2022-11-23T01:28:19.4026778Z test_make_fx_exhaustive_sinh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4027129Z test_make_fx_exhaustive_slice_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s) 2022-11-23T01:28:19.4027490Z test_make_fx_exhaustive_slice_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.045s) 2022-11-23T01:28:19.4027900Z test_make_fx_exhaustive_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s) 2022-11-23T01:28:19.4028272Z test_make_fx_exhaustive_softmax_with_dtype_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s) 2022-11-23T01:28:19.4028634Z test_make_fx_exhaustive_sort_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.260s) 2022-11-23T01:28:19.4029751Z test_make_fx_exhaustive_sparse_sampled_addmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_methods_invocations.py:951: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:56.) 2022-11-23T01:28:19.4030409Z torch.eye(m, n, device=device, dtype=dtype) 2022-11-23T01:28:19.4030622Z expected failure (0.004s) 2022-11-23T01:28:19.4030916Z test_make_fx_exhaustive_special_airy_ai_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.4031294Z test_make_fx_exhaustive_special_bessel_j0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s) 2022-11-23T01:28:19.4031654Z test_make_fx_exhaustive_special_bessel_j1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s) 2022-11-23T01:28:19.4032029Z test_make_fx_exhaustive_special_bessel_y0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s) 2022-11-23T01:28:19.4032399Z test_make_fx_exhaustive_special_bessel_y1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s) 2022-11-23T01:28:19.4032772Z test_make_fx_exhaustive_special_chebyshev_polynomial_t_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s) 2022-11-23T01:28:19.4033186Z test_make_fx_exhaustive_special_chebyshev_polynomial_u_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s) 2022-11-23T01:28:19.4033780Z test_make_fx_exhaustive_special_chebyshev_polynomial_v_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:28:19.4034421Z test_make_fx_exhaustive_special_chebyshev_polynomial_w_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:28:19.4034863Z test_make_fx_exhaustive_special_entr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s) 2022-11-23T01:28:19.4035221Z test_make_fx_exhaustive_special_erfcx_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s) 2022-11-23T01:28:19.4035611Z test_make_fx_exhaustive_special_hermite_polynomial_h_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s) 2022-11-23T01:28:19.4036012Z test_make_fx_exhaustive_special_hermite_polynomial_he_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s) 2022-11-23T01:28:19.4036383Z test_make_fx_exhaustive_special_i0e_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s) 2022-11-23T01:28:19.4036745Z test_make_fx_exhaustive_special_i1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s) 2022-11-23T01:28:19.4037103Z test_make_fx_exhaustive_special_i1e_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s) 2022-11-23T01:28:19.4037485Z test_make_fx_exhaustive_special_laguerre_polynomial_l_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s) 2022-11-23T01:28:19.4038058Z test_make_fx_exhaustive_special_legendre_polynomial_p_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:28:19.4038535Z test_make_fx_exhaustive_special_log_ndtr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s) 2022-11-23T01:28:19.4038923Z test_make_fx_exhaustive_special_modified_bessel_i0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.4039309Z test_make_fx_exhaustive_special_modified_bessel_i1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s) 2022-11-23T01:28:19.4039691Z test_make_fx_exhaustive_special_modified_bessel_k0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.4040083Z test_make_fx_exhaustive_special_modified_bessel_k1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.4040493Z test_make_fx_exhaustive_special_ndtr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s) 2022-11-23T01:28:19.4040862Z test_make_fx_exhaustive_special_ndtri_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s) 2022-11-23T01:28:19.4041249Z test_make_fx_exhaustive_special_polygamma_special_polygamma_n_0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s) 2022-11-23T01:28:19.4041663Z test_make_fx_exhaustive_special_scaled_modified_bessel_k0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.4042070Z test_make_fx_exhaustive_special_scaled_modified_bessel_k1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.4042674Z test_make_fx_exhaustive_special_shifted_chebyshev_polynomial_t_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:28:19.4043323Z test_make_fx_exhaustive_special_shifted_chebyshev_polynomial_u_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:28:19.4043991Z test_make_fx_exhaustive_special_shifted_chebyshev_polynomial_v_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:28:19.4044644Z test_make_fx_exhaustive_special_shifted_chebyshev_polynomial_w_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:28:19.4045106Z test_make_fx_exhaustive_special_spherical_bessel_j0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s) 2022-11-23T01:28:19.4045493Z test_make_fx_exhaustive_special_xlog1py_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s) 2022-11-23T01:28:19.4045849Z test_make_fx_exhaustive_special_zeta_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s) 2022-11-23T01:28:19.4046241Z test_make_fx_exhaustive_split_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.010s) 2022-11-23T01:28:19.4046635Z test_make_fx_exhaustive_split_list_args_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s) 2022-11-23T01:28:19.4046994Z test_make_fx_exhaustive_split_with_sizes_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.025s) 2022-11-23T01:28:19.4047351Z test_make_fx_exhaustive_sqrt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4047700Z test_make_fx_exhaustive_square_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.4048054Z test_make_fx_exhaustive_squeeze_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.027s) 2022-11-23T01:28:19.4048395Z test_make_fx_exhaustive_stack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s) 2022-11-23T01:28:19.4048741Z test_make_fx_exhaustive_std_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s) 2022-11-23T01:28:19.4049094Z test_make_fx_exhaustive_std_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s) 2022-11-23T01:28:19.4049951Z test_make_fx_exhaustive_stft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/functional.py:642: UserWarning: stft with return_complex=False is deprecated. In a future pytorch release, stft will return complex tensors for all inputs, and return_complex=False will raise an error. 2022-11-23T01:28:19.4050617Z Note: you can still call torch.view_as_real on the complex output to recover the old return format. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/SpectralOps.cpp:861.) 2022-11-23T01:28:19.4050993Z normalized, onesided, return_complex) 2022-11-23T01:28:19.4051190Z ok (0.086s) 2022-11-23T01:28:19.4051452Z test_make_fx_exhaustive_sub_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s) 2022-11-23T01:28:19.4051786Z test_make_fx_exhaustive_sum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.077s) 2022-11-23T01:28:19.4052181Z test_make_fx_exhaustive_sum_to_size_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.059s) 2022-11-23T01:28:19.4052531Z test_make_fx_exhaustive_svd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.627s) 2022-11-23T01:28:19.4052873Z test_make_fx_exhaustive_svd_lowrank_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (6.609s) 2022-11-23T01:28:19.4053376Z test_make_fx_exhaustive_symeig_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... test_proxy_tensor.py:1394: UserWarning: torch.symeig is deprecated in favor of torch.linalg.eigh and will be removed in a future PyTorch release. 2022-11-23T01:28:19.4053910Z The default behavior has changed from using the upper triangular portion of the matrix by default to using the lower triangular portion. 2022-11-23T01:28:19.4054231Z L, _ = torch.symeig(A, upper=upper) 2022-11-23T01:28:19.4054423Z should be replaced with 2022-11-23T01:28:19.4054708Z L = torch.linalg.eigvalsh(A, UPLO='U' if upper else 'L') 2022-11-23T01:28:19.4054918Z and 2022-11-23T01:28:19.4055094Z L, V = torch.symeig(A, eigenvectors=True) 2022-11-23T01:28:19.4055308Z should be replaced with 2022-11-23T01:28:19.4055774Z L, V = torch.linalg.eigh(A, UPLO='U' if upper else 'L') (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2909.) 2022-11-23T01:28:19.4056110Z return fn(*args, **kwargs) 2022-11-23T01:28:19.4056275Z ok (0.042s) 2022-11-23T01:28:19.4056531Z test_make_fx_exhaustive_t_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s) 2022-11-23T01:28:19.4056892Z test_make_fx_exhaustive_take_along_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s) 2022-11-23T01:28:19.4057240Z test_make_fx_exhaustive_take_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s) 2022-11-23T01:28:19.4057588Z test_make_fx_exhaustive_tan_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4057936Z test_make_fx_exhaustive_tanh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4058310Z test_make_fx_exhaustive_tensor_split_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.011s) 2022-11-23T01:28:19.4058673Z test_make_fx_exhaustive_tensordot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.020s) 2022-11-23T01:28:19.4059186Z test_make_fx_exhaustive_tile_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.203s) 2022-11-23T01:28:19.4059531Z test_make_fx_exhaustive_to_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.102s) 2022-11-23T01:28:19.4059886Z test_make_fx_exhaustive_to_sparse_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.4060255Z test_make_fx_exhaustive_topk_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.062s) 2022-11-23T01:28:19.4060606Z test_make_fx_exhaustive_trace_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.004s) 2022-11-23T01:28:19.4060967Z test_make_fx_exhaustive_transpose_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.031s) 2022-11-23T01:28:19.4061312Z test_make_fx_exhaustive_trapezoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.091s) 2022-11-23T01:28:19.4061667Z test_make_fx_exhaustive_trapz_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.090s) 2022-11-23T01:28:19.4062270Z test_make_fx_exhaustive_triangular_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... test_proxy_tensor.py:1394: UserWarning: torch.triangular_solve is deprecated in favor of torch.linalg.solve_triangularand will be removed in a future PyTorch release. 2022-11-23T01:28:19.4062803Z torch.linalg.solve_triangular has its arguments reversed and does not return a copy of one of the inputs. 2022-11-23T01:28:19.4063085Z X = torch.triangular_solve(B, A).solution 2022-11-23T01:28:19.4063295Z should be replaced with 2022-11-23T01:28:19.4063638Z X = torch.linalg.solve_triangular(A, B). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2224.) 2022-11-23T01:28:19.4064003Z return fn(*args, **kwargs) 2022-11-23T01:28:19.4064168Z ok (0.064s) 2022-11-23T01:28:19.4064430Z test_make_fx_exhaustive_tril_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s) 2022-11-23T01:28:19.4064781Z test_make_fx_exhaustive_triu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s) 2022-11-23T01:28:19.4065126Z test_make_fx_exhaustive_true_divide_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s) 2022-11-23T01:28:19.4065483Z test_make_fx_exhaustive_trunc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4065836Z test_make_fx_exhaustive_unbind_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s) 2022-11-23T01:28:19.4066196Z test_make_fx_exhaustive_unflatten_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s) 2022-11-23T01:28:19.4066546Z test_make_fx_exhaustive_unfold_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.087s) 2022-11-23T01:28:19.4066908Z test_make_fx_exhaustive_unfold_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.087s) 2022-11-23T01:28:19.4067258Z test_make_fx_exhaustive_uniform_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s) 2022-11-23T01:28:19.4067616Z test_make_fx_exhaustive_unique_consecutive_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.507s) 2022-11-23T01:28:19.4068039Z test_make_fx_exhaustive_unique_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.515s) 2022-11-23T01:28:19.4068398Z test_make_fx_exhaustive_unsqueeze_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.033s) 2022-11-23T01:28:19.4068750Z test_make_fx_exhaustive_var_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s) 2022-11-23T01:28:19.4069087Z test_make_fx_exhaustive_var_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s) 2022-11-23T01:28:19.4069436Z test_make_fx_exhaustive_vdot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4069790Z test_make_fx_exhaustive_view_as_complex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.004s) 2022-11-23T01:28:19.4070142Z test_make_fx_exhaustive_view_as_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s) 2022-11-23T01:28:19.4070483Z test_make_fx_exhaustive_view_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.028s) 2022-11-23T01:28:19.4070834Z test_make_fx_exhaustive_view_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.029s) 2022-11-23T01:28:19.4071180Z test_make_fx_exhaustive_vsplit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.4071520Z test_make_fx_exhaustive_vstack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.4071863Z test_make_fx_exhaustive_where_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.029s) 2022-11-23T01:28:19.4072210Z test_make_fx_exhaustive_xlogy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s) 2022-11-23T01:28:19.4072557Z test_make_fx_exhaustive_zero__cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.014s) 2022-11-23T01:28:19.4072888Z test_make_fx_exhaustive_zeros_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.009s) 2022-11-23T01:28:19.4073240Z test_make_fx_exhaustive_zeros_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.027s) 2022-11-23T01:28:19.4073627Z test_make_fx_fake_exhaustive_H_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s) 2022-11-23T01:28:19.4073964Z test_make_fx_fake_exhaustive_T_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.4074370Z test_make_fx_fake_exhaustive___getitem___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.089s) 2022-11-23T01:28:19.4074779Z test_make_fx_fake_exhaustive___radd___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s) 2022-11-23T01:28:19.4075143Z test_make_fx_fake_exhaustive___rdiv___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.049s) 2022-11-23T01:28:19.4075527Z test_make_fx_fake_exhaustive___rmatmul___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.096s) 2022-11-23T01:28:19.4075891Z test_make_fx_fake_exhaustive___rmod___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s) 2022-11-23T01:28:19.4076252Z test_make_fx_fake_exhaustive___rmul___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.042s) 2022-11-23T01:28:19.4077112Z test_make_fx_fake_exhaustive___rpow___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:849: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T01:28:19.4077682Z return torch.tensor(other, dtype=dtype, device=self.device) ** self 2022-11-23T01:28:19.4078327Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:849: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T01:28:19.4078806Z return torch.tensor(other, dtype=dtype, device=self.device) ** self 2022-11-23T01:28:19.4079453Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:849: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T01:28:19.4079928Z return torch.tensor(other, dtype=dtype, device=self.device) ** self 2022-11-23T01:28:19.4080560Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:849: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T01:28:19.4081025Z return torch.tensor(other, dtype=dtype, device=self.device) ** self 2022-11-23T01:28:19.4081668Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:849: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T01:28:19.4082134Z return torch.tensor(other, dtype=dtype, device=self.device) ** self 2022-11-23T01:28:19.4082763Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:849: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T01:28:19.4083233Z return torch.tensor(other, dtype=dtype, device=self.device) ** self 2022-11-23T01:28:19.4083871Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:849: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T01:28:19.4084337Z return torch.tensor(other, dtype=dtype, device=self.device) ** self 2022-11-23T01:28:19.4085014Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:849: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T01:28:19.4085473Z return torch.tensor(other, dtype=dtype, device=self.device) ** self 2022-11-23T01:28:19.4086112Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:849: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T01:28:19.4086575Z return torch.tensor(other, dtype=dtype, device=self.device) ** self 2022-11-23T01:28:19.4086802Z ok (0.072s) 2022-11-23T01:28:19.4087095Z test_make_fx_fake_exhaustive___rsub___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.043s) 2022-11-23T01:28:19.4087479Z test_make_fx_fake_exhaustive__softmax_backward_data_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s) 2022-11-23T01:28:19.4087856Z test_make_fx_fake_exhaustive_abs_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4088203Z test_make_fx_fake_exhaustive_acos_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.4088563Z test_make_fx_fake_exhaustive_acosh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.4088922Z test_make_fx_fake_exhaustive_add_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.050s) 2022-11-23T01:28:19.4089282Z test_make_fx_fake_exhaustive_addbmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.032s) 2022-11-23T01:28:19.4089633Z test_make_fx_fake_exhaustive_addcdiv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.067s) 2022-11-23T01:28:19.4089999Z test_make_fx_fake_exhaustive_addcmul_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.067s) 2022-11-23T01:28:19.4090364Z test_make_fx_fake_exhaustive_addmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.021s) 2022-11-23T01:28:19.4090738Z test_make_fx_fake_exhaustive_addmm_decomposed_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.021s) 2022-11-23T01:28:19.4091096Z test_make_fx_fake_exhaustive_addmv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.031s) 2022-11-23T01:28:19.4091453Z test_make_fx_fake_exhaustive_addr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.034s) 2022-11-23T01:28:19.4091805Z test_make_fx_fake_exhaustive_all_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.054s) 2022-11-23T01:28:19.4092184Z test_make_fx_fake_exhaustive_allclose_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.004s) 2022-11-23T01:28:19.4092548Z test_make_fx_fake_exhaustive_amax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.079s) 2022-11-23T01:28:19.4092909Z test_make_fx_fake_exhaustive_amin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.079s) 2022-11-23T01:28:19.4093647Z test_make_fx_fake_exhaustive_aminmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... [W Resize.cpp:31] Warning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (function resize_output_check) 2022-11-23T01:28:19.4094636Z [W Resize.cpp:31] Warning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (function resize_output_check) 2022-11-23T01:28:19.4095627Z test_proxy_tensor.py:1394: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:28:19.4096226Z return fn(*args, **kwargs) 2022-11-23T01:28:19.4096393Z ok (0.028s) 2022-11-23T01:28:19.4096664Z test_make_fx_fake_exhaustive_angle_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4097026Z test_make_fx_fake_exhaustive_any_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.052s) 2022-11-23T01:28:19.4097377Z test_make_fx_fake_exhaustive_arange_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.099s) 2022-11-23T01:28:19.4097786Z test_make_fx_fake_exhaustive_argmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.049s) 2022-11-23T01:28:19.4098149Z test_make_fx_fake_exhaustive_argmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.048s) 2022-11-23T01:28:19.4098513Z test_make_fx_fake_exhaustive_argsort_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.128s) 2022-11-23T01:28:19.4099068Z test_make_fx_fake_exhaustive_argwhere_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.003s) 2022-11-23T01:28:19.4099485Z test_make_fx_fake_exhaustive_as_strided_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s) 2022-11-23T01:28:19.4099861Z test_make_fx_fake_exhaustive_as_strided_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s) 2022-11-23T01:28:19.4100236Z test_make_fx_fake_exhaustive_asin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4100586Z test_make_fx_fake_exhaustive_asinh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4100944Z test_make_fx_fake_exhaustive_atan2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s) 2022-11-23T01:28:19.4101305Z test_make_fx_fake_exhaustive_atan_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4101664Z test_make_fx_fake_exhaustive_atanh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.006s) 2022-11-23T01:28:19.4102012Z test_make_fx_fake_exhaustive_atleast_1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s) 2022-11-23T01:28:19.4102379Z test_make_fx_fake_exhaustive_atleast_2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.024s) 2022-11-23T01:28:19.4102742Z test_make_fx_fake_exhaustive_atleast_3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.027s) 2022-11-23T01:28:19.4103092Z test_make_fx_fake_exhaustive_baddbmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.032s) 2022-11-23T01:28:19.4103462Z test_make_fx_fake_exhaustive_bernoulli_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s) 2022-11-23T01:28:19.4103830Z test_make_fx_fake_exhaustive_bfloat16_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.025s) 2022-11-23T01:28:19.4104213Z test_make_fx_fake_exhaustive_block_diag_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.4104576Z test_make_fx_fake_exhaustive_bmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.006s) 2022-11-23T01:28:19.4104926Z test_make_fx_fake_exhaustive_bool_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s) 2022-11-23T01:28:19.4105297Z test_make_fx_fake_exhaustive_broadcast_shapes_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.024s) 2022-11-23T01:28:19.4105683Z test_make_fx_fake_exhaustive_broadcast_tensors_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.009s) 2022-11-23T01:28:19.4106054Z test_make_fx_fake_exhaustive_broadcast_to_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.028s) 2022-11-23T01:28:19.4106427Z test_make_fx_fake_exhaustive_bucketize_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.268s) 2022-11-23T01:28:19.4106787Z test_make_fx_fake_exhaustive_byte_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.024s) 2022-11-23T01:28:19.4107217Z test_make_fx_fake_exhaustive_cartesian_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.027s) 2022-11-23T01:28:19.4107577Z test_make_fx_fake_exhaustive_cat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.042s) 2022-11-23T01:28:19.4108004Z test_make_fx_fake_exhaustive_cdist_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.569s) 2022-11-23T01:28:19.4108370Z test_make_fx_fake_exhaustive_cdouble_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.024s) 2022-11-23T01:28:19.4108719Z test_make_fx_fake_exhaustive_ceil_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4109120Z test_make_fx_fake_exhaustive_cfloat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.024s) 2022-11-23T01:28:19.4109480Z test_make_fx_fake_exhaustive_chalf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.024s) 2022-11-23T01:28:19.4109842Z test_make_fx_fake_exhaustive_char_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s) 2022-11-23T01:28:19.4110211Z test_make_fx_fake_exhaustive_cholesky_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.017s) 2022-11-23T01:28:19.4110616Z test_make_fx_fake_exhaustive_cholesky_inverse_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.083s) 2022-11-23T01:28:19.4111010Z test_make_fx_fake_exhaustive_cholesky_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.155s) 2022-11-23T01:28:19.4111379Z test_make_fx_fake_exhaustive_chunk_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s) 2022-11-23T01:28:19.4111723Z test_make_fx_fake_exhaustive_clamp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.029s) 2022-11-23T01:28:19.4112091Z test_make_fx_fake_exhaustive_clamp_max_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s) 2022-11-23T01:28:19.4112457Z test_make_fx_fake_exhaustive_clamp_min_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.046s) 2022-11-23T01:28:19.4112820Z test_make_fx_fake_exhaustive_clone_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s) 2022-11-23T01:28:19.4113172Z test_make_fx_fake_exhaustive_column_stack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.016s) 2022-11-23T01:28:19.4113590Z test_make_fx_fake_exhaustive_combinations_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.009s) 2022-11-23T01:28:19.4114006Z test_make_fx_fake_exhaustive_complex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s) 2022-11-23T01:28:19.4114352Z test_make_fx_fake_exhaustive_conj_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.010s) 2022-11-23T01:28:19.4114720Z test_make_fx_fake_exhaustive_conj_physical_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.004s) 2022-11-23T01:28:19.4115102Z test_make_fx_fake_exhaustive_constant_pad_nd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.207s) 2022-11-23T01:28:19.4115480Z test_make_fx_fake_exhaustive_contiguous_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s) 2022-11-23T01:28:19.4115837Z test_make_fx_fake_exhaustive_copysign_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.045s) 2022-11-23T01:28:19.4116221Z test_make_fx_fake_exhaustive_corrcoef_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.010s) 2022-11-23T01:28:19.4116601Z test_make_fx_fake_exhaustive_cos_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.4116956Z test_make_fx_fake_exhaustive_cosh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s) 2022-11-23T01:28:19.4117313Z test_make_fx_fake_exhaustive_count_nonzero_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.225s) 2022-11-23T01:28:19.4117692Z test_make_fx_fake_exhaustive_cov_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.010s) 2022-11-23T01:28:19.4118059Z test_make_fx_fake_exhaustive_cross_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.014s) 2022-11-23T01:28:19.4118457Z test_make_fx_fake_exhaustive_cummax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.035s) 2022-11-23T01:28:19.4118810Z test_make_fx_fake_exhaustive_cummin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.034s) 2022-11-23T01:28:19.4119170Z test_make_fx_fake_exhaustive_cumprod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s) 2022-11-23T01:28:19.4119528Z test_make_fx_fake_exhaustive_cumsum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s) 2022-11-23T01:28:19.4119892Z test_make_fx_fake_exhaustive_cumulative_trapezoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.098s) 2022-11-23T01:28:19.4120302Z test_make_fx_fake_exhaustive_deg2rad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4120661Z test_make_fx_fake_exhaustive_diag_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.061s) 2022-11-23T01:28:19.4121030Z test_make_fx_fake_exhaustive_diag_embed_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.069s) 2022-11-23T01:28:19.4121386Z test_make_fx_fake_exhaustive_diagflat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.026s) 2022-11-23T01:28:19.4121760Z test_make_fx_fake_exhaustive_diagonal_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.058s) 2022-11-23T01:28:19.4122136Z test_make_fx_fake_exhaustive_diagonal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.057s) 2022-11-23T01:28:19.4122510Z test_make_fx_fake_exhaustive_diagonal_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.067s) 2022-11-23T01:28:19.4122867Z test_make_fx_fake_exhaustive_diff_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.738s) 2022-11-23T01:28:19.4123227Z test_make_fx_fake_exhaustive_digamma_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.4123581Z test_make_fx_fake_exhaustive_dist_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.251s) 2022-11-23T01:28:19.4123940Z test_make_fx_fake_exhaustive_div_floor_rounding_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.068s) 2022-11-23T01:28:19.4124326Z test_make_fx_fake_exhaustive_div_no_rounding_mode_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.042s) 2022-11-23T01:28:19.4124710Z test_make_fx_fake_exhaustive_div_trunc_rounding_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.044s) 2022-11-23T01:28:19.4125079Z test_make_fx_fake_exhaustive_dot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4125426Z test_make_fx_fake_exhaustive_double_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.025s) 2022-11-23T01:28:19.4125909Z test_make_fx_fake_exhaustive_dsplit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s) 2022-11-23T01:28:19.4126265Z test_make_fx_fake_exhaustive_dstack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s) 2022-11-23T01:28:19.4126615Z test_make_fx_fake_exhaustive_einsum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.104s) 2022-11-23T01:28:19.4126978Z test_make_fx_fake_exhaustive_empty_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.4127371Z test_make_fx_fake_exhaustive_empty_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.4127746Z test_make_fx_fake_exhaustive_eq_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.046s) 2022-11-23T01:28:19.4128122Z test_make_fx_fake_exhaustive_equal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.004s) 2022-11-23T01:28:19.4128480Z test_make_fx_fake_exhaustive_erf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4128837Z test_make_fx_fake_exhaustive_erfc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.4129194Z test_make_fx_fake_exhaustive_erfinv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4129569Z test_make_fx_fake_exhaustive_exp2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.4129920Z test_make_fx_fake_exhaustive_exp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.4130285Z test_make_fx_fake_exhaustive_expand_as_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.014s) 2022-11-23T01:28:19.4130651Z test_make_fx_fake_exhaustive_expand_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s) 2022-11-23T01:28:19.4131000Z test_make_fx_fake_exhaustive_expm1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4131354Z test_make_fx_fake_exhaustive_eye_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.369s) 2022-11-23T01:28:19.4131789Z test_make_fx_fake_exhaustive_fft_fft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s) 2022-11-23T01:28:19.4132149Z test_make_fx_fake_exhaustive_fft_fft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.032s) 2022-11-23T01:28:19.4132504Z test_make_fx_fake_exhaustive_fft_fftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.048s) 2022-11-23T01:28:19.4132874Z test_make_fx_fake_exhaustive_fft_fftshift_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s) 2022-11-23T01:28:19.4133244Z test_make_fx_fake_exhaustive_fft_hfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.049s) 2022-11-23T01:28:19.4133612Z test_make_fx_fake_exhaustive_fft_hfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.049s) 2022-11-23T01:28:19.4133964Z test_make_fx_fake_exhaustive_fft_hfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.059s) 2022-11-23T01:28:19.4134333Z test_make_fx_fake_exhaustive_fft_ifft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s) 2022-11-23T01:28:19.4134697Z test_make_fx_fake_exhaustive_fft_ifft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s) 2022-11-23T01:28:19.4135043Z test_make_fx_fake_exhaustive_fft_ifftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s) 2022-11-23T01:28:19.4135414Z test_make_fx_fake_exhaustive_fft_ifftshift_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.024s) 2022-11-23T01:28:19.4135784Z test_make_fx_fake_exhaustive_fft_ihfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s) 2022-11-23T01:28:19.4136147Z test_make_fx_fake_exhaustive_fft_ihfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s) 2022-11-23T01:28:19.4136502Z test_make_fx_fake_exhaustive_fft_ihfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.046s) 2022-11-23T01:28:19.4136973Z test_make_fx_fake_exhaustive_fft_irfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s) 2022-11-23T01:28:19.4137341Z test_make_fx_fake_exhaustive_fft_irfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s) 2022-11-23T01:28:19.4137734Z test_make_fx_fake_exhaustive_fft_irfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s) 2022-11-23T01:28:19.4138083Z test_make_fx_fake_exhaustive_fft_rfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s) 2022-11-23T01:28:19.4138445Z test_make_fx_fake_exhaustive_fft_rfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.031s) 2022-11-23T01:28:19.4138934Z test_make_fx_fake_exhaustive_fft_rfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s) 2022-11-23T01:28:19.4139288Z test_make_fx_fake_exhaustive_fill_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.015s) 2022-11-23T01:28:19.4139646Z test_make_fx_fake_exhaustive_flatten_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s) 2022-11-23T01:28:19.4140002Z test_make_fx_fake_exhaustive_flip_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s) 2022-11-23T01:28:19.4140364Z test_make_fx_fake_exhaustive_fliplr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.009s) 2022-11-23T01:28:19.4140708Z test_make_fx_fake_exhaustive_flipud_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.009s) 2022-11-23T01:28:19.4141132Z test_make_fx_fake_exhaustive_float_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s) 2022-11-23T01:28:19.4141509Z test_make_fx_fake_exhaustive_float_power_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.063s) 2022-11-23T01:28:19.4141878Z test_make_fx_fake_exhaustive_floor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4142238Z test_make_fx_fake_exhaustive_floor_divide_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.066s) 2022-11-23T01:28:19.4142605Z test_make_fx_fake_exhaustive_fmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s) 2022-11-23T01:28:19.4143009Z test_make_fx_fake_exhaustive_fmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.042s) 2022-11-23T01:28:19.4143349Z test_make_fx_fake_exhaustive_fmod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.043s) 2022-11-23T01:28:19.4143696Z test_make_fx_fake_exhaustive_frac_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4144058Z test_make_fx_fake_exhaustive_frexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s) 2022-11-23T01:28:19.4144410Z test_make_fx_fake_exhaustive_full_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s) 2022-11-23T01:28:19.4144758Z test_make_fx_fake_exhaustive_full_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s) 2022-11-23T01:28:19.4145123Z test_make_fx_fake_exhaustive_gather_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s) 2022-11-23T01:28:19.4145480Z test_make_fx_fake_exhaustive_ge_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s) 2022-11-23T01:28:19.4145840Z test_make_fx_fake_exhaustive_geqrf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.421s) 2022-11-23T01:28:19.4146191Z test_make_fx_fake_exhaustive_gradient_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.430s) 2022-11-23T01:28:19.4146565Z test_make_fx_fake_exhaustive_grid_sampler_2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.371s) 2022-11-23T01:28:19.4147017Z test_make_fx_fake_exhaustive_gt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.043s) 2022-11-23T01:28:19.4147378Z test_make_fx_fake_exhaustive_half_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.024s) 2022-11-23T01:28:19.4147729Z test_make_fx_fake_exhaustive_heaviside_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.259s) 2022-11-23T01:28:19.4148164Z test_make_fx_fake_exhaustive_histc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.028s) 2022-11-23T01:28:19.4148528Z test_make_fx_fake_exhaustive_histogram_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.082s) 2022-11-23T01:28:19.4148890Z test_make_fx_fake_exhaustive_histogramdd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.915s) 2022-11-23T01:28:19.4149261Z test_make_fx_fake_exhaustive_hsplit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s) 2022-11-23T01:28:19.4149622Z test_make_fx_fake_exhaustive_hstack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s) 2022-11-23T01:28:19.4149984Z test_make_fx_fake_exhaustive_hypot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s) 2022-11-23T01:28:19.4150326Z test_make_fx_fake_exhaustive_i0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s) 2022-11-23T01:28:19.4150683Z test_make_fx_fake_exhaustive_igamma_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.042s) 2022-11-23T01:28:19.4151041Z test_make_fx_fake_exhaustive_igammac_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s) 2022-11-23T01:28:19.4151409Z test_make_fx_fake_exhaustive_index_add_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.048s) 2022-11-23T01:28:19.4151769Z test_make_fx_fake_exhaustive_index_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s) 2022-11-23T01:28:19.4152137Z test_make_fx_fake_exhaustive_index_fill_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.014s) 2022-11-23T01:28:19.4152546Z test_make_fx_fake_exhaustive_index_put_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.021s) 2022-11-23T01:28:19.4152904Z test_make_fx_fake_exhaustive_index_reduce_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.165s) 2022-11-23T01:28:19.4153274Z test_make_fx_fake_exhaustive_index_select_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.014s) 2022-11-23T01:28:19.4153637Z test_make_fx_fake_exhaustive_inner_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.014s) 2022-11-23T01:28:19.4153990Z test_make_fx_fake_exhaustive_int_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.024s) 2022-11-23T01:28:19.4154335Z test_make_fx_fake_exhaustive_isclose_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.244s) 2022-11-23T01:28:19.4154726Z test_make_fx_fake_exhaustive_isfinite_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.020s) 2022-11-23T01:28:19.4155084Z test_make_fx_fake_exhaustive_isin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.009s) 2022-11-23T01:28:19.4155443Z test_make_fx_fake_exhaustive_isinf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4155787Z test_make_fx_fake_exhaustive_isnan_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4156147Z test_make_fx_fake_exhaustive_isneginf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4156511Z test_make_fx_fake_exhaustive_isposinf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4156861Z test_make_fx_fake_exhaustive_isreal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.4157268Z test_make_fx_fake_exhaustive_jiterator_2inputs_2outputs_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:28:19.4157713Z test_make_fx_fake_exhaustive_jiterator_4inputs_with_extra_args_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:28:19.4158150Z test_make_fx_fake_exhaustive_jiterator_binary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:28:19.4158586Z test_make_fx_fake_exhaustive_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:28:19.4159003Z test_make_fx_fake_exhaustive_jiterator_unary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:28:19.4159390Z test_make_fx_fake_exhaustive_kron_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s) 2022-11-23T01:28:19.4159750Z test_make_fx_fake_exhaustive_kthvalue_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.133s) 2022-11-23T01:28:19.4160102Z test_make_fx_fake_exhaustive_ldexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.050s) 2022-11-23T01:28:19.4160457Z test_make_fx_fake_exhaustive_le_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s) 2022-11-23T01:28:19.4160813Z test_make_fx_fake_exhaustive_lerp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.081s) 2022-11-23T01:28:19.4161171Z test_make_fx_fake_exhaustive_lgamma_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.4161528Z test_make_fx_fake_exhaustive_linalg_cholesky_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.106s) 2022-11-23T01:28:19.4161913Z test_make_fx_fake_exhaustive_linalg_cholesky_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.077s) 2022-11-23T01:28:19.4162293Z test_make_fx_fake_exhaustive_linalg_cond_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.027s) 2022-11-23T01:28:19.4162668Z test_make_fx_fake_exhaustive_linalg_cross_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.014s) 2022-11-23T01:28:19.4163026Z test_make_fx_fake_exhaustive_linalg_det_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.046s) 2022-11-23T01:28:19.4163439Z test_make_fx_fake_exhaustive_linalg_det_singular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.159s) 2022-11-23T01:28:19.4163821Z test_make_fx_fake_exhaustive_linalg_eig_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.097s) 2022-11-23T01:28:19.4164196Z test_make_fx_fake_exhaustive_linalg_eigh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s) 2022-11-23T01:28:19.4164559Z test_make_fx_fake_exhaustive_linalg_eigvals_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.113s) 2022-11-23T01:28:19.4164935Z test_make_fx_fake_exhaustive_linalg_eigvalsh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s) 2022-11-23T01:28:19.4165129Z test_make_fx_fake_exhaustive_linalg_householder_product_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.090s) 2022-11-23T01:28:19.4165337Z test_make_fx_fake_exhaustive_linalg_inv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s) 2022-11-23T01:28:19.4165515Z test_make_fx_fake_exhaustive_linalg_inv_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s) 2022-11-23T01:28:19.4165704Z test_make_fx_fake_exhaustive_linalg_ldl_factor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s) 2022-11-23T01:28:19.4165877Z test_make_fx_fake_exhaustive_linalg_ldl_factor_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.021s) 2022-11-23T01:28:19.4166057Z test_make_fx_fake_exhaustive_linalg_ldl_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.080s) 2022-11-23T01:28:19.4166250Z test_make_fx_fake_exhaustive_linalg_lstsq_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.4166456Z test_make_fx_fake_exhaustive_linalg_lstsq_grad_oriented_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.4166633Z test_make_fx_fake_exhaustive_linalg_lu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.083s) 2022-11-23T01:28:19.4166813Z test_make_fx_fake_exhaustive_linalg_lu_factor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.090s) 2022-11-23T01:28:19.4166996Z test_make_fx_fake_exhaustive_linalg_lu_factor_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.079s) 2022-11-23T01:28:19.4167178Z test_make_fx_fake_exhaustive_linalg_lu_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.499s) 2022-11-23T01:28:19.4167361Z test_make_fx_fake_exhaustive_linalg_matrix_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.393s) 2022-11-23T01:28:19.4167544Z test_make_fx_fake_exhaustive_linalg_matrix_power_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.176s) 2022-11-23T01:28:19.4167713Z test_make_fx_fake_exhaustive_linalg_matrix_rank_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.728s) 2022-11-23T01:28:19.4167911Z test_make_fx_fake_exhaustive_linalg_matrix_rank_hermitian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.081s) 2022-11-23T01:28:19.4168089Z test_make_fx_fake_exhaustive_linalg_multi_dot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.046s) 2022-11-23T01:28:19.4168265Z test_make_fx_fake_exhaustive_linalg_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.512s) 2022-11-23T01:28:19.4168465Z test_make_fx_fake_exhaustive_linalg_norm_subgradients_at_zero_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.378s) 2022-11-23T01:28:19.4168639Z test_make_fx_fake_exhaustive_linalg_pinv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.138s) 2022-11-23T01:28:19.4168829Z test_make_fx_fake_exhaustive_linalg_pinv_hermitian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s) 2022-11-23T01:28:19.4169082Z test_make_fx_fake_exhaustive_linalg_pinv_singular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:28:19.4169259Z test_make_fx_fake_exhaustive_linalg_qr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.173s) 2022-11-23T01:28:19.4169427Z test_make_fx_fake_exhaustive_linalg_slogdet_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.052s) 2022-11-23T01:28:19.4169637Z test_make_fx_fake_exhaustive_linalg_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.118s) 2022-11-23T01:28:19.4169821Z test_make_fx_fake_exhaustive_linalg_solve_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.112s) 2022-11-23T01:28:19.4170013Z test_make_fx_fake_exhaustive_linalg_solve_triangular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.111s) 2022-11-23T01:28:19.4170187Z test_make_fx_fake_exhaustive_linalg_svd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.540s) 2022-11-23T01:28:19.4170369Z test_make_fx_fake_exhaustive_linalg_svdvals_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.177s) 2022-11-23T01:28:19.4170599Z test_make_fx_fake_exhaustive_linalg_tensorinv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.016s) 2022-11-23T01:28:19.4170784Z test_make_fx_fake_exhaustive_linalg_tensorsolve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.042s) 2022-11-23T01:28:19.4170965Z test_make_fx_fake_exhaustive_linalg_vander_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.076s) 2022-11-23T01:28:19.4171146Z test_make_fx_fake_exhaustive_linalg_vecdot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.232s) 2022-11-23T01:28:19.4171316Z test_make_fx_fake_exhaustive_linalg_vector_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.426s) 2022-11-23T01:28:19.4171489Z test_make_fx_fake_exhaustive_linspace_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.190s) 2022-11-23T01:28:19.4171659Z test_make_fx_fake_exhaustive_log10_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s) 2022-11-23T01:28:19.4171835Z test_make_fx_fake_exhaustive_log1p_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4172003Z test_make_fx_fake_exhaustive_log2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.4172170Z test_make_fx_fake_exhaustive_log_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.4172349Z test_make_fx_fake_exhaustive_log_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s) 2022-11-23T01:28:19.4172535Z test_make_fx_fake_exhaustive_log_softmax_with_dtype_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.049s) 2022-11-23T01:28:19.4172713Z test_make_fx_fake_exhaustive_logaddexp2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4172877Z test_make_fx_fake_exhaustive_logaddexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4173060Z test_make_fx_fake_exhaustive_logcumsumexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.074s) 2022-11-23T01:28:19.4173234Z test_make_fx_fake_exhaustive_logdet_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.080s) 2022-11-23T01:28:19.4173411Z test_make_fx_fake_exhaustive_logical_and_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.043s) 2022-11-23T01:28:19.4173590Z test_make_fx_fake_exhaustive_logical_not_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.4173765Z test_make_fx_fake_exhaustive_logical_or_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.044s) 2022-11-23T01:28:19.4173941Z test_make_fx_fake_exhaustive_logical_xor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.043s) 2022-11-23T01:28:19.4174112Z test_make_fx_fake_exhaustive_logit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s) 2022-11-23T01:28:19.4174286Z test_make_fx_fake_exhaustive_logspace_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.435s) 2022-11-23T01:28:19.4174450Z test_make_fx_fake_exhaustive_logsumexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.118s) 2022-11-23T01:28:19.4174620Z test_make_fx_fake_exhaustive_long_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.024s) 2022-11-23T01:28:19.4174785Z test_make_fx_fake_exhaustive_lt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s) 2022-11-23T01:28:19.4174981Z test_make_fx_fake_exhaustive_lu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.168s) 2022-11-23T01:28:19.4175154Z test_make_fx_fake_exhaustive_lu_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.138s) 2022-11-23T01:28:19.4175326Z test_make_fx_fake_exhaustive_lu_unpack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.091s) 2022-11-23T01:28:19.4175489Z test_make_fx_fake_exhaustive_mH_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.024s) 2022-11-23T01:28:19.4175653Z test_make_fx_fake_exhaustive_mT_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s) 2022-11-23T01:28:19.4175829Z test_make_fx_fake_exhaustive_masked_amax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.630s) 2022-11-23T01:28:19.4176026Z test_make_fx_fake_exhaustive_masked_amin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.631s) 2022-11-23T01:28:19.4176207Z test_make_fx_fake_exhaustive_masked_argmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.438s) 2022-11-23T01:28:19.4176386Z test_make_fx_fake_exhaustive_masked_argmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.445s) 2022-11-23T01:28:19.4176566Z test_make_fx_fake_exhaustive_masked_cumprod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.084s) 2022-11-23T01:28:19.4176744Z test_make_fx_fake_exhaustive_masked_cumsum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.091s) 2022-11-23T01:28:19.4176922Z test_make_fx_fake_exhaustive_masked_fill_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s) 2022-11-23T01:28:19.4177108Z test_make_fx_fake_exhaustive_masked_log_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.151s) 2022-11-23T01:28:19.4177296Z test_make_fx_fake_exhaustive_masked_logaddexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.116s) 2022-11-23T01:28:19.4177479Z test_make_fx_fake_exhaustive_masked_logsumexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.186s) 2022-11-23T01:28:19.4177645Z test_make_fx_fake_exhaustive_masked_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.081s) 2022-11-23T01:28:19.4177823Z test_make_fx_fake_exhaustive_masked_median_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.118s) 2022-11-23T01:28:19.4177997Z test_make_fx_fake_exhaustive_masked_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.732s) 2022-11-23T01:28:19.4178180Z test_make_fx_fake_exhaustive_masked_normalize_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.233s) 2022-11-23T01:28:19.4178354Z test_make_fx_fake_exhaustive_masked_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.675s) 2022-11-23T01:28:19.4178535Z test_make_fx_fake_exhaustive_masked_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.021s) 2022-11-23T01:28:19.4178904Z test_make_fx_fake_exhaustive_masked_select_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.004s) 2022-11-23T01:28:19.4179132Z test_make_fx_fake_exhaustive_masked_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.145s) 2022-11-23T01:28:19.4179310Z test_make_fx_fake_exhaustive_masked_softmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.156s) 2022-11-23T01:28:19.4179473Z test_make_fx_fake_exhaustive_masked_std_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.973s) 2022-11-23T01:28:19.4179644Z test_make_fx_fake_exhaustive_masked_sum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.633s) 2022-11-23T01:28:19.4179819Z test_make_fx_fake_exhaustive_masked_var_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.874s) 2022-11-23T01:28:19.4179993Z test_make_fx_fake_exhaustive_matmul_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.096s) 2022-11-23T01:28:19.4180171Z test_make_fx_fake_exhaustive_matrix_exp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s) 2022-11-23T01:28:19.4180347Z test_make_fx_fake_exhaustive_max_binary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s) 2022-11-23T01:28:19.4180606Z test_make_fx_fake_exhaustive_max_pool2d_with_indices_backward_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.798s) 2022-11-23T01:28:19.4180796Z test_make_fx_fake_exhaustive_max_reduction_no_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s) 2022-11-23T01:28:19.4180983Z test_make_fx_fake_exhaustive_max_reduction_with_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s) 2022-11-23T01:28:19.4181144Z test_make_fx_fake_exhaustive_maximum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.042s) 2022-11-23T01:28:19.4181315Z test_make_fx_fake_exhaustive_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.083s) 2022-11-23T01:28:19.4181525Z test_make_fx_fake_exhaustive_median_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.161s) 2022-11-23T01:28:19.4181716Z test_make_fx_fake_exhaustive_meshgrid_list_of_tensors_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.078s) 2022-11-23T01:28:19.4181914Z test_make_fx_fake_exhaustive_meshgrid_variadic_tensors_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.077s) 2022-11-23T01:28:19.4182087Z test_make_fx_fake_exhaustive_min_binary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.043s) 2022-11-23T01:28:19.4182274Z test_make_fx_fake_exhaustive_min_reduction_no_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s) 2022-11-23T01:28:19.4182461Z test_make_fx_fake_exhaustive_min_reduction_with_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s) 2022-11-23T01:28:19.4182635Z test_make_fx_fake_exhaustive_minimum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s) 2022-11-23T01:28:19.4182804Z test_make_fx_fake_exhaustive_mm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4182960Z test_make_fx_fake_exhaustive_mode_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.081s) 2022-11-23T01:28:19.4183134Z test_make_fx_fake_exhaustive_movedim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.010s) 2022-11-23T01:28:19.4183306Z test_make_fx_fake_exhaustive_msort_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s) 2022-11-23T01:28:19.4183472Z test_make_fx_fake_exhaustive_mul_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s) 2022-11-23T01:28:19.4183666Z test_make_fx_fake_exhaustive_multinomial_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.017s) 2022-11-23T01:28:19.4183829Z test_make_fx_fake_exhaustive_mv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.007s) 2022-11-23T01:28:19.4184016Z test_make_fx_fake_exhaustive_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.048s) 2022-11-23T01:28:19.4184202Z test_make_fx_fake_exhaustive_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.046s) 2022-11-23T01:28:19.4184391Z test_make_fx_fake_exhaustive_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s) 2022-11-23T01:28:19.4184555Z test_make_fx_fake_exhaustive_nan_to_num_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s) 2022-11-23T01:28:19.4184732Z test_make_fx_fake_exhaustive_nanmean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.306s) 2022-11-23T01:28:19.4184909Z test_make_fx_fake_exhaustive_nanmedian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.058s) 2022-11-23T01:28:19.4185103Z test_make_fx_fake_exhaustive_nanquantile_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.009s) 2022-11-23T01:28:19.4185272Z test_make_fx_fake_exhaustive_nansum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.135s) 2022-11-23T01:28:19.4185453Z test_make_fx_fake_exhaustive_narrow_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.021s) 2022-11-23T01:28:19.4185643Z test_make_fx_fake_exhaustive_narrow_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.009s) 2022-11-23T01:28:19.4185856Z test_make_fx_fake_exhaustive_native_batch_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.144s) 2022-11-23T01:28:19.4186049Z test_make_fx_fake_exhaustive_native_dropout_backward_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.062s) 2022-11-23T01:28:19.4186217Z test_make_fx_fake_exhaustive_native_layer_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.141s) 2022-11-23T01:28:19.4186383Z test_make_fx_fake_exhaustive_ne_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s) 2022-11-23T01:28:19.4186549Z test_make_fx_fake_exhaustive_neg_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4186738Z test_make_fx_fake_exhaustive_new_empty_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.4187004Z test_make_fx_fake_exhaustive_new_empty_strided_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:28:19.4187180Z test_make_fx_fake_exhaustive_new_full_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.033s) 2022-11-23T01:28:19.4187353Z test_make_fx_fake_exhaustive_new_ones_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.033s) 2022-11-23T01:28:19.4187527Z test_make_fx_fake_exhaustive_new_zeros_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.031s) 2022-11-23T01:28:19.4187701Z test_make_fx_fake_exhaustive_nextafter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s) 2022-11-23T01:28:19.4187968Z test_make_fx_fake_exhaustive_nn_functional__scaled_dot_product_attention_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.417s) 2022-11-23T01:28:19.4188177Z test_make_fx_fake_exhaustive_nn_functional_adaptive_avg_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.034s) 2022-11-23T01:28:19.4188379Z test_make_fx_fake_exhaustive_nn_functional_adaptive_avg_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.042s) 2022-11-23T01:28:19.4188583Z test_make_fx_fake_exhaustive_nn_functional_adaptive_avg_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.054s) 2022-11-23T01:28:19.4188784Z test_make_fx_fake_exhaustive_nn_functional_adaptive_max_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.056s) 2022-11-23T01:28:19.4188981Z test_make_fx_fake_exhaustive_nn_functional_adaptive_max_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.117s) 2022-11-23T01:28:19.4189177Z test_make_fx_fake_exhaustive_nn_functional_adaptive_max_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.101s) 2022-11-23T01:28:19.4189376Z test_make_fx_fake_exhaustive_nn_functional_alpha_dropout_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.092s) 2022-11-23T01:28:19.4189570Z test_make_fx_fake_exhaustive_nn_functional_avg_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.054s) 2022-11-23T01:28:19.4189754Z test_make_fx_fake_exhaustive_nn_functional_avg_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.042s) 2022-11-23T01:28:19.4189935Z test_make_fx_fake_exhaustive_nn_functional_avg_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s) 2022-11-23T01:28:19.4190123Z test_make_fx_fake_exhaustive_nn_functional_batch_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.156s) 2022-11-23T01:28:19.4190313Z test_make_fx_fake_exhaustive_nn_functional_bilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.145s) 2022-11-23T01:28:19.4190516Z test_make_fx_fake_exhaustive_nn_functional_binary_cross_entropy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.100s) 2022-11-23T01:28:19.4190730Z test_make_fx_fake_exhaustive_nn_functional_binary_cross_entropy_with_logits_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.272s) 2022-11-23T01:28:19.4190919Z test_make_fx_fake_exhaustive_nn_functional_celu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s) 2022-11-23T01:28:19.4191102Z test_make_fx_fake_exhaustive_nn_functional_conv1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.062s) 2022-11-23T01:28:19.4191325Z test_make_fx_fake_exhaustive_nn_functional_conv2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.194s) 2022-11-23T01:28:19.4191526Z test_make_fx_fake_exhaustive_nn_functional_conv_transpose1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.061s) 2022-11-23T01:28:19.4191723Z test_make_fx_fake_exhaustive_nn_functional_conv_transpose2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.077s) 2022-11-23T01:28:19.4191906Z test_make_fx_fake_exhaustive_nn_functional_conv_transpose3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.070s) 2022-11-23T01:28:19.4192138Z test_make_fx_fake_exhaustive_nn_functional_cosine_embedding_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.139s) 2022-11-23T01:28:19.4192336Z test_make_fx_fake_exhaustive_nn_functional_cosine_similarity_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.146s) 2022-11-23T01:28:19.4192529Z test_make_fx_fake_exhaustive_nn_functional_cross_entropy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.234s) 2022-11-23T01:28:19.4192762Z test_make_fx_fake_exhaustive_nn_functional_ctc_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.006s) 2022-11-23T01:28:19.4193833Z test_make_fx_fake_exhaustive_nn_functional_dropout2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead. 2022-11-23T01:28:19.4194081Z warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise " 2022-11-23T01:28:19.4194902Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead. 2022-11-23T01:28:19.4195143Z warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise " 2022-11-23T01:28:19.4195956Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead. 2022-11-23T01:28:19.4196200Z warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise " 2022-11-23T01:28:19.4197010Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead. 2022-11-23T01:28:19.4197253Z warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise " 2022-11-23T01:28:19.4198092Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead. 2022-11-23T01:28:19.4198330Z warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise " 2022-11-23T01:28:19.4199141Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead. 2022-11-23T01:28:19.4199407Z warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise " 2022-11-23T01:28:19.4199477Z ok (0.059s) 2022-11-23T01:28:19.4199674Z test_make_fx_fake_exhaustive_nn_functional_dropout3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.068s) 2022-11-23T01:28:19.4199855Z test_make_fx_fake_exhaustive_nn_functional_dropout_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.082s) 2022-11-23T01:28:19.4200039Z test_make_fx_fake_exhaustive_nn_functional_elu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.014s) 2022-11-23T01:28:19.4200235Z test_make_fx_fake_exhaustive_nn_functional_embedding_bag_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.404s) 2022-11-23T01:28:19.4200431Z test_make_fx_fake_exhaustive_nn_functional_embedding_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.052s) 2022-11-23T01:28:19.4200647Z test_make_fx_fake_exhaustive_nn_functional_feature_alpha_dropout_with_train_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s) 2022-11-23T01:28:19.4200865Z test_make_fx_fake_exhaustive_nn_functional_feature_alpha_dropout_without_train_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.034s) 2022-11-23T01:28:19.4201066Z test_make_fx_fake_exhaustive_nn_functional_fractional_max_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.232s) 2022-11-23T01:28:19.4201264Z test_make_fx_fake_exhaustive_nn_functional_fractional_max_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.511s) 2022-11-23T01:28:19.4201478Z test_make_fx_fake_exhaustive_nn_functional_gaussian_nll_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.006s) 2022-11-23T01:28:19.4201661Z test_make_fx_fake_exhaustive_nn_functional_gelu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s) 2022-11-23T01:28:19.4201833Z test_make_fx_fake_exhaustive_nn_functional_glu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.188s) 2022-11-23T01:28:19.4202026Z test_make_fx_fake_exhaustive_nn_functional_grid_sample_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.325s) 2022-11-23T01:28:19.4202215Z test_make_fx_fake_exhaustive_nn_functional_group_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.148s) 2022-11-23T01:28:19.4202407Z test_make_fx_fake_exhaustive_nn_functional_hardshrink_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.025s) 2022-11-23T01:28:19.4202600Z test_make_fx_fake_exhaustive_nn_functional_hardsigmoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s) 2022-11-23T01:28:19.4202792Z test_make_fx_fake_exhaustive_nn_functional_hardswish_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.027s) 2022-11-23T01:28:19.4202983Z test_make_fx_fake_exhaustive_nn_functional_hardtanh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.029s) 2022-11-23T01:28:19.4203182Z test_make_fx_fake_exhaustive_nn_functional_hinge_embedding_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.130s) 2022-11-23T01:28:19.4203404Z test_make_fx_fake_exhaustive_nn_functional_huber_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s) 2022-11-23T01:28:19.4203598Z test_make_fx_fake_exhaustive_nn_functional_instance_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.220s) 2022-11-23T01:28:19.4203783Z test_make_fx_fake_exhaustive_nn_functional_interpolate_area_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.054s) 2022-11-23T01:28:19.4203987Z test_make_fx_fake_exhaustive_nn_functional_interpolate_bicubic_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.472s) 2022-11-23T01:28:19.4204190Z test_make_fx_fake_exhaustive_nn_functional_interpolate_bilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.273s) 2022-11-23T01:28:19.4204421Z test_make_fx_fake_exhaustive_nn_functional_interpolate_linear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.046s) 2022-11-23T01:28:19.4204618Z test_make_fx_fake_exhaustive_nn_functional_interpolate_nearest_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.048s) 2022-11-23T01:28:19.4204826Z test_make_fx_fake_exhaustive_nn_functional_interpolate_trilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.049s) 2022-11-23T01:28:19.4205592Z test_make_fx_fake_exhaustive_nn_functional_kl_div_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2921: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-11-23T01:28:19.4205816Z "reduction: 'mean' divides the total loss by both the batch size and the support size." 2022-11-23T01:28:19.4206427Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2921: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-11-23T01:28:19.4206649Z "reduction: 'mean' divides the total loss by both the batch size and the support size." 2022-11-23T01:28:19.4207236Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2921: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-11-23T01:28:19.4207453Z "reduction: 'mean' divides the total loss by both the batch size and the support size." 2022-11-23T01:28:19.4208050Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2921: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-11-23T01:28:19.4208268Z "reduction: 'mean' divides the total loss by both the batch size and the support size." 2022-11-23T01:28:19.4208323Z ok (0.116s) 2022-11-23T01:28:19.4208514Z test_make_fx_fake_exhaustive_nn_functional_l1_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.034s) 2022-11-23T01:28:19.4208704Z test_make_fx_fake_exhaustive_nn_functional_layer_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.042s) 2022-11-23T01:28:19.4208895Z test_make_fx_fake_exhaustive_nn_functional_leaky_relu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s) 2022-11-23T01:28:19.4209083Z test_make_fx_fake_exhaustive_nn_functional_linear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.105s) 2022-11-23T01:28:19.4209286Z test_make_fx_fake_exhaustive_nn_functional_local_response_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.113s) 2022-11-23T01:28:19.4209505Z test_make_fx_fake_exhaustive_nn_functional_logsigmoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.021s) 2022-11-23T01:28:19.4209703Z test_make_fx_fake_exhaustive_nn_functional_margin_ranking_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.220s) 2022-11-23T01:28:19.4209891Z test_make_fx_fake_exhaustive_nn_functional_max_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.718s) 2022-11-23T01:28:19.4210061Z test_make_fx_fake_exhaustive_nn_functional_max_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.509s) 2022-11-23T01:28:19.4210251Z test_make_fx_fake_exhaustive_nn_functional_max_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.300s) 2022-11-23T01:28:19.4210502Z test_make_fx_fake_exhaustive_nn_functional_max_unpool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.4210699Z test_make_fx_fake_exhaustive_nn_functional_max_unpool1d_grad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.244s) 2022-11-23T01:28:19.4210909Z test_make_fx_fake_exhaustive_nn_functional_max_unpool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:28:19.4211105Z test_make_fx_fake_exhaustive_nn_functional_max_unpool2d_grad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.340s) 2022-11-23T01:28:19.4211310Z test_make_fx_fake_exhaustive_nn_functional_max_unpool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.4211507Z test_make_fx_fake_exhaustive_nn_functional_max_unpool3d_grad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.201s) 2022-11-23T01:28:19.4211691Z test_make_fx_fake_exhaustive_nn_functional_mish_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.015s) 2022-11-23T01:28:19.4211882Z test_make_fx_fake_exhaustive_nn_functional_mse_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.035s) 2022-11-23T01:28:19.4212063Z test_make_fx_fake_exhaustive_nn_functional_multi_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.058s) 2022-11-23T01:28:19.4212267Z test_make_fx_fake_exhaustive_nn_functional_multilabel_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s) 2022-11-23T01:28:19.4212475Z test_make_fx_fake_exhaustive_nn_functional_multilabel_soft_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.084s) 2022-11-23T01:28:19.4212676Z test_make_fx_fake_exhaustive_nn_functional_nll_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.4212864Z test_make_fx_fake_exhaustive_nn_functional_normalize_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.063s) 2022-11-23T01:28:19.4213059Z test_make_fx_fake_exhaustive_nn_functional_pad_circular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.112s) 2022-11-23T01:28:19.4213249Z test_make_fx_fake_exhaustive_nn_functional_pad_constant_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.209s) 2022-11-23T01:28:19.4213444Z test_make_fx_fake_exhaustive_nn_functional_pad_reflect_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.050s) 2022-11-23T01:28:19.4213638Z test_make_fx_fake_exhaustive_nn_functional_pad_replicate_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.051s) 2022-11-23T01:28:19.4213834Z test_make_fx_fake_exhaustive_nn_functional_pairwise_distance_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.049s) 2022-11-23T01:28:19.4214008Z test_make_fx_fake_exhaustive_nn_functional_pdist_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.111s) 2022-11-23T01:28:19.4214200Z test_make_fx_fake_exhaustive_nn_functional_pixel_shuffle_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.020s) 2022-11-23T01:28:19.4214396Z test_make_fx_fake_exhaustive_nn_functional_pixel_unshuffle_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.020s) 2022-11-23T01:28:19.4214588Z test_make_fx_fake_exhaustive_nn_functional_poisson_nll_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.852s) 2022-11-23T01:28:19.4214803Z test_make_fx_fake_exhaustive_nn_functional_prelu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.112s) 2022-11-23T01:28:19.4214985Z test_make_fx_fake_exhaustive_nn_functional_relu6_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.016s) 2022-11-23T01:28:19.4215167Z test_make_fx_fake_exhaustive_nn_functional_relu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s) 2022-11-23T01:28:19.4215351Z test_make_fx_fake_exhaustive_nn_functional_rrelu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.044s) 2022-11-23T01:28:19.4215533Z test_make_fx_fake_exhaustive_nn_functional_selu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.015s) 2022-11-23T01:28:19.4215756Z test_make_fx_fake_exhaustive_nn_functional_silu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.015s) 2022-11-23T01:28:19.4215935Z test_make_fx_fake_exhaustive_nn_functional_smooth_l1_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s) 2022-11-23T01:28:19.4216128Z test_make_fx_fake_exhaustive_nn_functional_soft_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s) 2022-11-23T01:28:19.4216316Z test_make_fx_fake_exhaustive_nn_functional_softmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s) 2022-11-23T01:28:19.4216514Z test_make_fx_fake_exhaustive_nn_functional_softmin_with_dtype_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.052s) 2022-11-23T01:28:19.4216703Z test_make_fx_fake_exhaustive_nn_functional_softplus_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.015s) 2022-11-23T01:28:19.4216890Z test_make_fx_fake_exhaustive_nn_functional_softshrink_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.025s) 2022-11-23T01:28:19.4217074Z test_make_fx_fake_exhaustive_nn_functional_softsign_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s) 2022-11-23T01:28:19.4217259Z test_make_fx_fake_exhaustive_nn_functional_tanhshrink_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.015s) 2022-11-23T01:28:19.4217450Z test_make_fx_fake_exhaustive_nn_functional_threshold_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s) 2022-11-23T01:28:19.4217637Z test_make_fx_fake_exhaustive_nn_functional_triplet_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.111s) 2022-11-23T01:28:19.4217853Z test_make_fx_fake_exhaustive_nn_functional_triplet_margin_with_distance_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.110s) 2022-11-23T01:28:19.4218040Z test_make_fx_fake_exhaustive_nn_functional_unfold_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.062s) 2022-11-23T01:28:19.4218605Z test_make_fx_fake_exhaustive_nn_functional_upsample_bilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4074: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead. 2022-11-23T01:28:19.4218951Z warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.") 2022-11-23T01:28:19.4219378Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4074: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead. 2022-11-23T01:28:19.4219577Z warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.") 2022-11-23T01:28:19.4219945Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4074: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead. 2022-11-23T01:28:19.4220140Z warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.") 2022-11-23T01:28:19.4220511Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4074: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead. 2022-11-23T01:28:19.4220702Z warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.") 2022-11-23T01:28:19.4220756Z ok (0.092s) 2022-11-23T01:28:19.4221362Z test_make_fx_fake_exhaustive_nn_functional_upsample_nearest_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4018: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead. 2022-11-23T01:28:19.4221557Z warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.") 2022-11-23T01:28:19.4221923Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4018: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead. 2022-11-23T01:28:19.4222151Z warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.") 2022-11-23T01:28:19.4222517Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4018: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead. 2022-11-23T01:28:19.4222707Z warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.") 2022-11-23T01:28:19.4223068Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4018: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead. 2022-11-23T01:28:19.4223257Z warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.") 2022-11-23T01:28:19.4223621Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4018: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead. 2022-11-23T01:28:19.4223810Z warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.") 2022-11-23T01:28:19.4224162Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4018: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead. 2022-11-23T01:28:19.4224355Z warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.") 2022-11-23T01:28:19.4224721Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4018: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead. 2022-11-23T01:28:19.4224908Z warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.") 2022-11-23T01:28:19.4225269Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4018: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead. 2022-11-23T01:28:19.4225459Z warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.") 2022-11-23T01:28:19.4225821Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4018: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead. 2022-11-23T01:28:19.4226010Z warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.") 2022-11-23T01:28:19.4226371Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4018: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead. 2022-11-23T01:28:19.4226559Z warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.") 2022-11-23T01:28:19.4226907Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4018: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead. 2022-11-23T01:28:19.4227094Z warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.") 2022-11-23T01:28:19.4227452Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4018: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead. 2022-11-23T01:28:19.4227640Z warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.") 2022-11-23T01:28:19.4227709Z ok (0.053s) 2022-11-23T01:28:19.4228025Z test_make_fx_fake_exhaustive_nonzero_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.004s) 2022-11-23T01:28:19.4228202Z test_make_fx_fake_exhaustive_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.184s) 2022-11-23T01:28:19.4228378Z test_make_fx_fake_exhaustive_norm_fro_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.014s) 2022-11-23T01:28:19.4228552Z test_make_fx_fake_exhaustive_norm_inf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s) 2022-11-23T01:28:19.4228712Z test_make_fx_fake_exhaustive_norm_nuc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.015s) 2022-11-23T01:28:19.4228917Z test_make_fx_fake_exhaustive_normal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.024s) 2022-11-23T01:28:19.4229102Z test_make_fx_fake_exhaustive_normal_number_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4229271Z test_make_fx_fake_exhaustive_ones_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.009s) 2022-11-23T01:28:19.4229448Z test_make_fx_fake_exhaustive_ones_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.029s) 2022-11-23T01:28:19.4229621Z test_make_fx_fake_exhaustive_ormqr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.147s) 2022-11-23T01:28:19.4229791Z test_make_fx_fake_exhaustive_outer_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.006s) 2022-11-23T01:28:19.4229971Z test_make_fx_fake_exhaustive_pca_lowrank_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (4.737s) 2022-11-23T01:28:19.4230146Z test_make_fx_fake_exhaustive_permute_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s) 2022-11-23T01:28:19.4230308Z test_make_fx_fake_exhaustive_pinverse_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.056s) 2022-11-23T01:28:19.4230482Z test_make_fx_fake_exhaustive_polar_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.116s) 2022-11-23T01:28:19.4230680Z test_make_fx_fake_exhaustive_polygamma_polygamma_n_0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s) 2022-11-23T01:28:19.4230875Z test_make_fx_fake_exhaustive_polygamma_polygamma_n_1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s) 2022-11-23T01:28:19.4231067Z test_make_fx_fake_exhaustive_polygamma_polygamma_n_2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s) 2022-11-23T01:28:19.4231254Z test_make_fx_fake_exhaustive_polygamma_polygamma_n_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s) 2022-11-23T01:28:19.4231436Z test_make_fx_fake_exhaustive_polygamma_polygamma_n_4_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s) 2022-11-23T01:28:19.4231613Z test_make_fx_fake_exhaustive_positive_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.004s) 2022-11-23T01:28:19.4231782Z test_make_fx_fake_exhaustive_pow_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.042s) 2022-11-23T01:28:19.4231954Z test_make_fx_fake_exhaustive_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.361s) 2022-11-23T01:28:19.4232107Z test_make_fx_fake_exhaustive_put_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.103s) 2022-11-23T01:28:19.4232275Z test_make_fx_fake_exhaustive_qr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.166s) 2022-11-23T01:28:19.4232466Z test_make_fx_fake_exhaustive_quantile_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.009s) 2022-11-23T01:28:19.4232642Z test_make_fx_fake_exhaustive_rad2deg_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4232821Z test_make_fx_fake_exhaustive_rand_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.031s) 2022-11-23T01:28:19.4232995Z test_make_fx_fake_exhaustive_randint_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.065s) 2022-11-23T01:28:19.4233173Z test_make_fx_fake_exhaustive_randint_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.065s) 2022-11-23T01:28:19.4233375Z test_make_fx_fake_exhaustive_randn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.009s) 2022-11-23T01:28:19.4233553Z test_make_fx_fake_exhaustive_randn_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.031s) 2022-11-23T01:28:19.4233712Z test_make_fx_fake_exhaustive_ravel_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s) 2022-11-23T01:28:19.4233880Z test_make_fx_fake_exhaustive_real_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.009s) 2022-11-23T01:28:19.4234058Z test_make_fx_fake_exhaustive_reciprocal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.4234263Z test_make_fx_fake_exhaustive_remainder_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s) 2022-11-23T01:28:19.4234434Z test_make_fx_fake_exhaustive_renorm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.016s) 2022-11-23T01:28:19.4234606Z test_make_fx_fake_exhaustive_repeat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.153s) 2022-11-23T01:28:19.4234838Z test_make_fx_fake_exhaustive_repeat_interleave_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.007s) 2022-11-23T01:28:19.4235016Z test_make_fx_fake_exhaustive_reshape_as_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s) 2022-11-23T01:28:19.4235189Z test_make_fx_fake_exhaustive_reshape_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.028s) 2022-11-23T01:28:19.4235347Z test_make_fx_fake_exhaustive_resize__cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.014s) 2022-11-23T01:28:19.4235523Z test_make_fx_fake_exhaustive_resize_as__cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.015s) 2022-11-23T01:28:19.4235702Z test_make_fx_fake_exhaustive_resolve_conj_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.006s) 2022-11-23T01:28:19.4235878Z test_make_fx_fake_exhaustive_resolve_neg_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.006s) 2022-11-23T01:28:19.4236047Z test_make_fx_fake_exhaustive_roll_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.065s) 2022-11-23T01:28:19.4236215Z test_make_fx_fake_exhaustive_rot90_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.136s) 2022-11-23T01:28:19.4236381Z test_make_fx_fake_exhaustive_round_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4236564Z test_make_fx_fake_exhaustive_round_decimals_0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.4236745Z test_make_fx_fake_exhaustive_round_decimals_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.4236922Z test_make_fx_fake_exhaustive_round_decimals_neg_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.4237091Z test_make_fx_fake_exhaustive_rsqrt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.4237259Z test_make_fx_fake_exhaustive_rsub_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.050s) 2022-11-23T01:28:19.4237437Z test_make_fx_fake_exhaustive_scalar_tensor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s) 2022-11-23T01:28:19.4237613Z test_make_fx_fake_exhaustive_scatter_add_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s) 2022-11-23T01:28:19.4237785Z test_make_fx_fake_exhaustive_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.116s) 2022-11-23T01:28:19.4237975Z test_make_fx_fake_exhaustive_scatter_reduce_amax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.105s) 2022-11-23T01:28:19.4238157Z test_make_fx_fake_exhaustive_scatter_reduce_amin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.106s) 2022-11-23T01:28:19.4238344Z test_make_fx_fake_exhaustive_scatter_reduce_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.109s) 2022-11-23T01:28:19.4238510Z test_make_fx_fake_exhaustive_scatter_reduce_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.110s) 2022-11-23T01:28:19.4238756Z test_make_fx_fake_exhaustive_scatter_reduce_sum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.107s) 2022-11-23T01:28:19.4238942Z test_make_fx_fake_exhaustive_searchsorted_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.093s) 2022-11-23T01:28:19.4239148Z test_make_fx_fake_exhaustive_segment_reduce_lengths_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.017s) 2022-11-23T01:28:19.4239338Z test_make_fx_fake_exhaustive_segment_reduce_offsets_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.002s) 2022-11-23T01:28:19.4239508Z test_make_fx_fake_exhaustive_select_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.020s) 2022-11-23T01:28:19.4239718Z test_make_fx_fake_exhaustive_select_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s) 2022-11-23T01:28:19.4239890Z test_make_fx_fake_exhaustive_sgn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4240067Z test_make_fx_fake_exhaustive_short_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s) 2022-11-23T01:28:19.4240227Z test_make_fx_fake_exhaustive_sigmoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.014s) 2022-11-23T01:28:19.4240396Z test_make_fx_fake_exhaustive_sign_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4240583Z test_make_fx_fake_exhaustive_signal_windows_cosine_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.062s) 2022-11-23T01:28:19.4240780Z test_make_fx_fake_exhaustive_signal_windows_exponential_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.079s) 2022-11-23T01:28:19.4240974Z test_make_fx_fake_exhaustive_signal_windows_gaussian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.079s) 2022-11-23T01:28:19.4241162Z test_make_fx_fake_exhaustive_signal_windows_kaiser_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.108s) 2022-11-23T01:28:19.4241340Z test_make_fx_fake_exhaustive_signbit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4241505Z test_make_fx_fake_exhaustive_sin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4241676Z test_make_fx_fake_exhaustive_sinc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.014s) 2022-11-23T01:28:19.4241827Z test_make_fx_fake_exhaustive_sinh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4241996Z test_make_fx_fake_exhaustive_slice_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s) 2022-11-23T01:28:19.4242176Z test_make_fx_fake_exhaustive_slice_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.046s) 2022-11-23T01:28:19.4242353Z test_make_fx_fake_exhaustive_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.034s) 2022-11-23T01:28:19.4242539Z test_make_fx_fake_exhaustive_softmax_with_dtype_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.045s) 2022-11-23T01:28:19.4242710Z test_make_fx_fake_exhaustive_sort_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.267s) 2022-11-23T01:28:19.4242913Z test_make_fx_fake_exhaustive_sparse_sampled_addmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.002s) 2022-11-23T01:28:19.4243096Z test_make_fx_fake_exhaustive_special_airy_ai_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s) 2022-11-23T01:28:19.4243279Z test_make_fx_fake_exhaustive_special_bessel_j0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s) 2022-11-23T01:28:19.4243462Z test_make_fx_fake_exhaustive_special_bessel_j1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.4243635Z test_make_fx_fake_exhaustive_special_bessel_y0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s) 2022-11-23T01:28:19.4243813Z test_make_fx_fake_exhaustive_special_bessel_y1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s) 2022-11-23T01:28:19.4244043Z test_make_fx_fake_exhaustive_special_chebyshev_polynomial_t_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s) 2022-11-23T01:28:19.4244247Z test_make_fx_fake_exhaustive_special_chebyshev_polynomial_u_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s) 2022-11-23T01:28:19.4244647Z test_make_fx_fake_exhaustive_special_chebyshev_polynomial_v_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:28:19.4245038Z test_make_fx_fake_exhaustive_special_chebyshev_polynomial_w_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:28:19.4245261Z test_make_fx_fake_exhaustive_special_entr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s) 2022-11-23T01:28:19.4245442Z test_make_fx_fake_exhaustive_special_erfcx_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.4245641Z test_make_fx_fake_exhaustive_special_hermite_polynomial_h_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s) 2022-11-23T01:28:19.4245840Z test_make_fx_fake_exhaustive_special_hermite_polynomial_he_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s) 2022-11-23T01:28:19.4246005Z test_make_fx_fake_exhaustive_special_i0e_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.009s) 2022-11-23T01:28:19.4246180Z test_make_fx_fake_exhaustive_special_i1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s) 2022-11-23T01:28:19.4246362Z test_make_fx_fake_exhaustive_special_i1e_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s) 2022-11-23T01:28:19.4246563Z test_make_fx_fake_exhaustive_special_laguerre_polynomial_l_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s) 2022-11-23T01:28:19.4246950Z test_make_fx_fake_exhaustive_special_legendre_polynomial_p_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:28:19.4247135Z test_make_fx_fake_exhaustive_special_log_ndtr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.016s) 2022-11-23T01:28:19.4247328Z test_make_fx_fake_exhaustive_special_modified_bessel_i0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.4247517Z test_make_fx_fake_exhaustive_special_modified_bessel_i1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s) 2022-11-23T01:28:19.4247709Z test_make_fx_fake_exhaustive_special_modified_bessel_k0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s) 2022-11-23T01:28:19.4247902Z test_make_fx_fake_exhaustive_special_modified_bessel_k1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.4248071Z test_make_fx_fake_exhaustive_special_ndtr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.020s) 2022-11-23T01:28:19.4248250Z test_make_fx_fake_exhaustive_special_ndtri_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.4248462Z test_make_fx_fake_exhaustive_special_polygamma_special_polygamma_n_0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s) 2022-11-23T01:28:19.4248663Z test_make_fx_fake_exhaustive_special_scaled_modified_bessel_k0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s) 2022-11-23T01:28:19.4248863Z test_make_fx_fake_exhaustive_special_scaled_modified_bessel_k1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s) 2022-11-23T01:28:19.4249265Z test_make_fx_fake_exhaustive_special_shifted_chebyshev_polynomial_t_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:28:19.4249661Z test_make_fx_fake_exhaustive_special_shifted_chebyshev_polynomial_u_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:28:19.4250080Z test_make_fx_fake_exhaustive_special_shifted_chebyshev_polynomial_v_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:28:19.4250480Z test_make_fx_fake_exhaustive_special_shifted_chebyshev_polynomial_w_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:28:19.4250673Z test_make_fx_fake_exhaustive_special_spherical_bessel_j0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.4250856Z test_make_fx_fake_exhaustive_special_xlog1py_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.049s) 2022-11-23T01:28:19.4251067Z test_make_fx_fake_exhaustive_special_zeta_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s) 2022-11-23T01:28:19.4251240Z test_make_fx_fake_exhaustive_split_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.4251422Z test_make_fx_fake_exhaustive_split_list_args_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s) 2022-11-23T01:28:19.4251603Z test_make_fx_fake_exhaustive_split_with_sizes_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s) 2022-11-23T01:28:19.4251771Z test_make_fx_fake_exhaustive_sqrt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4251945Z test_make_fx_fake_exhaustive_square_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.4252118Z test_make_fx_fake_exhaustive_squeeze_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.026s) 2022-11-23T01:28:19.4252291Z test_make_fx_fake_exhaustive_stack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.042s) 2022-11-23T01:28:19.4252463Z test_make_fx_fake_exhaustive_std_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s) 2022-11-23T01:28:19.4252625Z test_make_fx_fake_exhaustive_std_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.052s) 2022-11-23T01:28:19.4252797Z test_make_fx_fake_exhaustive_stft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.083s) 2022-11-23T01:28:19.4252961Z test_make_fx_fake_exhaustive_sub_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.050s) 2022-11-23T01:28:19.4253121Z test_make_fx_fake_exhaustive_sum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.079s) 2022-11-23T01:28:19.4253297Z test_make_fx_fake_exhaustive_sum_to_size_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.062s) 2022-11-23T01:28:19.4253463Z test_make_fx_fake_exhaustive_svd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.614s) 2022-11-23T01:28:19.4253642Z test_make_fx_fake_exhaustive_svd_lowrank_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (5.810s) 2022-11-23T01:28:19.4253813Z test_make_fx_fake_exhaustive_symeig_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.107s) 2022-11-23T01:28:19.4253982Z test_make_fx_fake_exhaustive_t_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.011s) 2022-11-23T01:28:19.4254152Z test_make_fx_fake_exhaustive_take_along_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.029s) 2022-11-23T01:28:19.4254321Z test_make_fx_fake_exhaustive_take_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.110s) 2022-11-23T01:28:19.4254486Z test_make_fx_fake_exhaustive_tan_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4254652Z test_make_fx_fake_exhaustive_tanh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4254846Z test_make_fx_fake_exhaustive_tensor_split_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.007s) 2022-11-23T01:28:19.4255023Z test_make_fx_fake_exhaustive_tensordot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s) 2022-11-23T01:28:19.4255189Z test_make_fx_fake_exhaustive_tile_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.203s) 2022-11-23T01:28:19.4255353Z test_make_fx_fake_exhaustive_to_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.131s) 2022-11-23T01:28:19.4255571Z test_make_fx_fake_exhaustive_to_sparse_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.4255727Z test_make_fx_fake_exhaustive_topk_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.064s) 2022-11-23T01:28:19.4255895Z test_make_fx_fake_exhaustive_trace_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.004s) 2022-11-23T01:28:19.4256070Z test_make_fx_fake_exhaustive_transpose_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s) 2022-11-23T01:28:19.4256243Z test_make_fx_fake_exhaustive_trapezoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.093s) 2022-11-23T01:28:19.4256441Z test_make_fx_fake_exhaustive_trapz_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.092s) 2022-11-23T01:28:19.4256623Z test_make_fx_fake_exhaustive_triangular_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.061s) 2022-11-23T01:28:19.4256791Z test_make_fx_fake_exhaustive_tril_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.034s) 2022-11-23T01:28:19.4256954Z test_make_fx_fake_exhaustive_triu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.034s) 2022-11-23T01:28:19.4257133Z test_make_fx_fake_exhaustive_true_divide_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s) 2022-11-23T01:28:19.4257288Z test_make_fx_fake_exhaustive_trunc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4257457Z test_make_fx_fake_exhaustive_unbind_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.035s) 2022-11-23T01:28:19.4257630Z test_make_fx_fake_exhaustive_unflatten_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s) 2022-11-23T01:28:19.4257810Z test_make_fx_fake_exhaustive_unfold_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.085s) 2022-11-23T01:28:19.4257981Z test_make_fx_fake_exhaustive_unfold_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.085s) 2022-11-23T01:28:19.4258154Z test_make_fx_fake_exhaustive_uniform_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s) 2022-11-23T01:28:19.4258389Z test_make_fx_fake_exhaustive_unique_consecutive_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.003s) 2022-11-23T01:28:19.4258609Z test_make_fx_fake_exhaustive_unique_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.004s) 2022-11-23T01:28:19.4258928Z test_make_fx_fake_exhaustive_unsqueeze_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.032s) 2022-11-23T01:28:19.4259124Z test_make_fx_fake_exhaustive_var_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s) 2022-11-23T01:28:19.4259302Z test_make_fx_fake_exhaustive_var_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.049s) 2022-11-23T01:28:19.4259471Z test_make_fx_fake_exhaustive_vdot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.005s) 2022-11-23T01:28:19.4259654Z test_make_fx_fake_exhaustive_view_as_complex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.004s) 2022-11-23T01:28:19.4259824Z test_make_fx_fake_exhaustive_view_as_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s) 2022-11-23T01:28:19.4259997Z test_make_fx_fake_exhaustive_view_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.027s) 2022-11-23T01:28:19.4260165Z test_make_fx_fake_exhaustive_view_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.027s) 2022-11-23T01:28:19.4260337Z test_make_fx_fake_exhaustive_vsplit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.012s) 2022-11-23T01:28:19.4260502Z test_make_fx_fake_exhaustive_vstack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s) 2022-11-23T01:28:19.4260662Z test_make_fx_fake_exhaustive_where_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.029s) 2022-11-23T01:28:19.4260827Z test_make_fx_fake_exhaustive_xlogy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.045s) 2022-11-23T01:28:19.4261050Z test_make_fx_fake_exhaustive_zero__cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.013s) 2022-11-23T01:28:19.4261222Z test_make_fx_fake_exhaustive_zeros_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.008s) 2022-11-23T01:28:19.4261397Z test_make_fx_fake_exhaustive_zeros_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.029s) 2022-11-23T01:28:19.4261569Z test_make_fx_symbolic_exhaustive_H_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.059s) 2022-11-23T01:28:19.4261733Z test_make_fx_symbolic_exhaustive_T_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.053s) 2022-11-23T01:28:19.4261996Z test_make_fx_symbolic_exhaustive___getitem___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.786s) 2022-11-23T01:28:19.4262178Z test_make_fx_symbolic_exhaustive___radd___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.314s) 2022-11-23T01:28:19.4262344Z test_make_fx_symbolic_exhaustive___rdiv___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.361s) 2022-11-23T01:28:19.4262526Z test_make_fx_symbolic_exhaustive___rmatmul___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.068s) 2022-11-23T01:28:19.4262704Z test_make_fx_symbolic_exhaustive___rmod___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.316s) 2022-11-23T01:28:19.4262878Z test_make_fx_symbolic_exhaustive___rmul___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.309s) 2022-11-23T01:28:19.4263541Z test_make_fx_symbolic_exhaustive___rpow___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:849: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T01:28:19.4263683Z return torch.tensor(other, dtype=dtype, device=self.device) ** self 2022-11-23T01:28:19.4264183Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:849: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T01:28:19.4264319Z return torch.tensor(other, dtype=dtype, device=self.device) ** self 2022-11-23T01:28:19.4264808Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:849: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T01:28:19.4264943Z return torch.tensor(other, dtype=dtype, device=self.device) ** self 2022-11-23T01:28:19.4265432Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:849: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T01:28:19.4265570Z return torch.tensor(other, dtype=dtype, device=self.device) ** self 2022-11-23T01:28:19.4266042Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:849: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T01:28:19.4266177Z return torch.tensor(other, dtype=dtype, device=self.device) ** self 2022-11-23T01:28:19.4266661Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:849: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T01:28:19.4266798Z return torch.tensor(other, dtype=dtype, device=self.device) ** self 2022-11-23T01:28:19.4267309Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:849: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T01:28:19.4267447Z return torch.tensor(other, dtype=dtype, device=self.device) ** self 2022-11-23T01:28:19.4268010Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:849: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T01:28:19.4268149Z return torch.tensor(other, dtype=dtype, device=self.device) ** self 2022-11-23T01:28:19.4268634Z /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:849: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T01:28:19.4268804Z return torch.tensor(other, dtype=dtype, device=self.device) ** self 2022-11-23T01:28:19.4268871Z ok (0.486s) 2022-11-23T01:28:19.4269041Z test_make_fx_symbolic_exhaustive___rsub___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.308s) 2022-11-23T01:28:19.4269239Z test_make_fx_symbolic_exhaustive__softmax_backward_data_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.157s) 2022-11-23T01:28:19.4269416Z test_make_fx_symbolic_exhaustive_abs_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s) 2022-11-23T01:28:19.4269592Z test_make_fx_symbolic_exhaustive_acos_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.031s) 2022-11-23T01:28:19.4269769Z test_make_fx_symbolic_exhaustive_acosh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s) 2022-11-23T01:28:19.4269945Z test_make_fx_symbolic_exhaustive_add_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.383s) 2022-11-23T01:28:19.4270122Z test_make_fx_symbolic_exhaustive_addbmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.307s) 2022-11-23T01:28:19.4270306Z test_make_fx_symbolic_exhaustive_addcdiv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.528s) 2022-11-23T01:28:19.4270486Z test_make_fx_symbolic_exhaustive_addcmul_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.527s) 2022-11-23T01:28:19.4270649Z test_make_fx_symbolic_exhaustive_addmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.162s) 2022-11-23T01:28:19.4270838Z test_make_fx_symbolic_exhaustive_addmm_decomposed_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.371s) 2022-11-23T01:28:19.4271029Z test_make_fx_symbolic_exhaustive_addmv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.037s) 2022-11-23T01:28:19.4271223Z test_make_fx_symbolic_exhaustive_addr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.042s) 2022-11-23T01:28:19.4271396Z test_make_fx_symbolic_exhaustive_all_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.440s) 2022-11-23T01:28:19.4271593Z test_make_fx_symbolic_exhaustive_allclose_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.006s) 2022-11-23T01:28:19.4271768Z test_make_fx_symbolic_exhaustive_amax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.431s) 2022-11-23T01:28:19.4271942Z test_make_fx_symbolic_exhaustive_amin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.423s) 2022-11-23T01:28:19.4272135Z test_make_fx_symbolic_exhaustive_aminmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.025s) 2022-11-23T01:28:19.4272296Z test_make_fx_symbolic_exhaustive_angle_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.021s) 2022-11-23T01:28:19.4272467Z test_make_fx_symbolic_exhaustive_any_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.376s) 2022-11-23T01:28:19.4272646Z test_make_fx_symbolic_exhaustive_arange_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.099s) 2022-11-23T01:28:19.4272822Z test_make_fx_symbolic_exhaustive_argmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.248s) 2022-11-23T01:28:19.4273026Z test_make_fx_symbolic_exhaustive_argmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.247s) 2022-11-23T01:28:19.4273203Z test_make_fx_symbolic_exhaustive_argsort_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.988s) 2022-11-23T01:28:19.4273428Z test_make_fx_symbolic_exhaustive_argwhere_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.010s) 2022-11-23T01:28:19.4273612Z test_make_fx_symbolic_exhaustive_as_strided_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.092s) 2022-11-23T01:28:19.4273802Z test_make_fx_symbolic_exhaustive_as_strided_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.213s) 2022-11-23T01:28:19.4274002Z test_make_fx_symbolic_exhaustive_asin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s) 2022-11-23T01:28:19.4274165Z test_make_fx_symbolic_exhaustive_asinh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s) 2022-11-23T01:28:19.4274342Z test_make_fx_symbolic_exhaustive_atan2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.309s) 2022-11-23T01:28:19.4274515Z test_make_fx_symbolic_exhaustive_atan_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s) 2022-11-23T01:28:19.4274691Z test_make_fx_symbolic_exhaustive_atanh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s) 2022-11-23T01:28:19.4274871Z test_make_fx_symbolic_exhaustive_atleast_1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.149s) 2022-11-23T01:28:19.4275051Z test_make_fx_symbolic_exhaustive_atleast_2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.151s) 2022-11-23T01:28:19.4275225Z test_make_fx_symbolic_exhaustive_atleast_3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.172s) 2022-11-23T01:28:19.4275421Z test_make_fx_symbolic_exhaustive_baddbmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.062s) 2022-11-23T01:28:19.4275600Z test_make_fx_symbolic_exhaustive_bernoulli_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.067s) 2022-11-23T01:28:19.4275766Z test_make_fx_symbolic_exhaustive_bfloat16_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.130s) 2022-11-23T01:28:19.4275961Z test_make_fx_symbolic_exhaustive_block_diag_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.4276134Z test_make_fx_symbolic_exhaustive_bmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.045s) 2022-11-23T01:28:19.4276307Z test_make_fx_symbolic_exhaustive_bool_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.124s) 2022-11-23T01:28:19.4276498Z test_make_fx_symbolic_exhaustive_broadcast_shapes_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.026s) 2022-11-23T01:28:19.4276688Z test_make_fx_symbolic_exhaustive_broadcast_tensors_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.080s) 2022-11-23T01:28:19.4276871Z test_make_fx_symbolic_exhaustive_broadcast_to_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.092s) 2022-11-23T01:28:19.4277069Z test_make_fx_symbolic_exhaustive_bucketize_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.016s) 2022-11-23T01:28:19.4277242Z test_make_fx_symbolic_exhaustive_byte_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.125s) 2022-11-23T01:28:19.4277431Z test_make_fx_symbolic_exhaustive_cartesian_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.026s) 2022-11-23T01:28:19.4277605Z test_make_fx_symbolic_exhaustive_cat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.286s) 2022-11-23T01:28:19.4277796Z test_make_fx_symbolic_exhaustive_cdist_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.046s) 2022-11-23T01:28:19.4277976Z test_make_fx_symbolic_exhaustive_cdouble_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.127s) 2022-11-23T01:28:19.4278153Z test_make_fx_symbolic_exhaustive_ceil_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s) 2022-11-23T01:28:19.4278357Z test_make_fx_symbolic_exhaustive_cfloat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.124s) 2022-11-23T01:28:19.4278533Z test_make_fx_symbolic_exhaustive_chalf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.123s) 2022-11-23T01:28:19.4278704Z test_make_fx_symbolic_exhaustive_char_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.370s) 2022-11-23T01:28:19.4278900Z test_make_fx_symbolic_exhaustive_cholesky_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.016s) 2022-11-23T01:28:19.4279092Z test_make_fx_symbolic_exhaustive_cholesky_inverse_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.007s) 2022-11-23T01:28:19.4279324Z test_make_fx_symbolic_exhaustive_cholesky_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.016s) 2022-11-23T01:28:19.4279500Z test_make_fx_symbolic_exhaustive_chunk_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.916s) 2022-11-23T01:28:19.4279676Z test_make_fx_symbolic_exhaustive_clamp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.521s) 2022-11-23T01:28:19.4279858Z test_make_fx_symbolic_exhaustive_clamp_max_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.526s) 2022-11-23T01:28:19.4280036Z test_make_fx_symbolic_exhaustive_clamp_min_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.515s) 2022-11-23T01:28:19.4280208Z test_make_fx_symbolic_exhaustive_clone_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s) 2022-11-23T01:28:19.4280407Z test_make_fx_symbolic_exhaustive_column_stack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.076s) 2022-11-23T01:28:19.4280606Z test_make_fx_symbolic_exhaustive_combinations_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.010s) 2022-11-23T01:28:19.4280786Z test_make_fx_symbolic_exhaustive_complex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.254s) 2022-11-23T01:28:19.4280946Z test_make_fx_symbolic_exhaustive_conj_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.021s) 2022-11-23T01:28:19.4281134Z test_make_fx_symbolic_exhaustive_conj_physical_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.015s) 2022-11-23T01:28:19.4281321Z test_make_fx_symbolic_exhaustive_constant_pad_nd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (4.283s) 2022-11-23T01:28:19.4281499Z test_make_fx_symbolic_exhaustive_contiguous_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.032s) 2022-11-23T01:28:19.4281679Z test_make_fx_symbolic_exhaustive_copysign_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.540s) 2022-11-23T01:28:19.4281872Z test_make_fx_symbolic_exhaustive_corrcoef_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.022s) 2022-11-23T01:28:19.4282046Z test_make_fx_symbolic_exhaustive_cos_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.032s) 2022-11-23T01:28:19.4282218Z test_make_fx_symbolic_exhaustive_cosh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.032s) 2022-11-23T01:28:19.4282417Z test_make_fx_symbolic_exhaustive_count_nonzero_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.005s) 2022-11-23T01:28:19.4282592Z test_make_fx_symbolic_exhaustive_cov_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.018s) 2022-11-23T01:28:19.4282780Z test_make_fx_symbolic_exhaustive_cross_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.041s) 2022-11-23T01:28:19.4282970Z test_make_fx_symbolic_exhaustive_cummax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.027s) 2022-11-23T01:28:19.4283161Z test_make_fx_symbolic_exhaustive_cummin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.026s) 2022-11-23T01:28:19.4283354Z test_make_fx_symbolic_exhaustive_cumprod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.027s) 2022-11-23T01:28:19.4283531Z test_make_fx_symbolic_exhaustive_cumsum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.265s) 2022-11-23T01:28:19.4283806Z test_make_fx_symbolic_exhaustive_cumulative_trapezoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.340s) 2022-11-23T01:28:19.4283985Z test_make_fx_symbolic_exhaustive_deg2rad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.026s) 2022-11-23T01:28:19.4284160Z test_make_fx_symbolic_exhaustive_diag_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.879s) 2022-11-23T01:28:19.4284330Z test_make_fx_symbolic_exhaustive_diag_embed_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.103s) 2022-11-23T01:28:19.4284508Z test_make_fx_symbolic_exhaustive_diagflat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.206s) 2022-11-23T01:28:19.4284724Z test_make_fx_symbolic_exhaustive_diagonal_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.628s) 2022-11-23T01:28:19.4284903Z test_make_fx_symbolic_exhaustive_diagonal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.384s) 2022-11-23T01:28:19.4285094Z test_make_fx_symbolic_exhaustive_diagonal_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.721s) 2022-11-23T01:28:19.4285285Z test_make_fx_symbolic_exhaustive_diff_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.038s) 2022-11-23T01:28:19.4285464Z test_make_fx_symbolic_exhaustive_digamma_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.031s) 2022-11-23T01:28:19.4285637Z test_make_fx_symbolic_exhaustive_dist_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.716s) 2022-11-23T01:28:19.4285825Z test_make_fx_symbolic_exhaustive_div_floor_rounding_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.302s) 2022-11-23T01:28:19.4286019Z test_make_fx_symbolic_exhaustive_div_no_rounding_mode_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.338s) 2022-11-23T01:28:19.4286194Z test_make_fx_symbolic_exhaustive_div_trunc_rounding_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.371s) 2022-11-23T01:28:19.4286369Z test_make_fx_symbolic_exhaustive_dot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s) 2022-11-23T01:28:19.4286545Z test_make_fx_symbolic_exhaustive_double_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.151s) 2022-11-23T01:28:19.4286742Z test_make_fx_symbolic_exhaustive_dsplit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.154s) 2022-11-23T01:28:19.4286918Z test_make_fx_symbolic_exhaustive_dstack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.124s) 2022-11-23T01:28:19.4287093Z test_make_fx_symbolic_exhaustive_einsum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.029s) 2022-11-23T01:28:19.4287287Z test_make_fx_symbolic_exhaustive_empty_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.4287483Z test_make_fx_symbolic_exhaustive_empty_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.4287655Z test_make_fx_symbolic_exhaustive_eq_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.362s) 2022-11-23T01:28:19.4287835Z test_make_fx_symbolic_exhaustive_equal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.006s) 2022-11-23T01:28:19.4288006Z test_make_fx_symbolic_exhaustive_erf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s) 2022-11-23T01:28:19.4288179Z test_make_fx_symbolic_exhaustive_erfc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.032s) 2022-11-23T01:28:19.4288351Z test_make_fx_symbolic_exhaustive_erfinv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s) 2022-11-23T01:28:19.4288526Z test_make_fx_symbolic_exhaustive_exp2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.031s) 2022-11-23T01:28:19.4288696Z test_make_fx_symbolic_exhaustive_exp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.032s) 2022-11-23T01:28:19.4288875Z test_make_fx_symbolic_exhaustive_expand_as_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.058s) 2022-11-23T01:28:19.4289075Z test_make_fx_symbolic_exhaustive_expand_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.143s) 2022-11-23T01:28:19.4289253Z test_make_fx_symbolic_exhaustive_expm1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s) 2022-11-23T01:28:19.4289409Z test_make_fx_symbolic_exhaustive_eye_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.424s) 2022-11-23T01:28:19.4289602Z test_make_fx_symbolic_exhaustive_fft_fft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.030s) 2022-11-23T01:28:19.4289793Z test_make_fx_symbolic_exhaustive_fft_fft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.025s) 2022-11-23T01:28:19.4290034Z test_make_fx_symbolic_exhaustive_fft_fftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.026s) 2022-11-23T01:28:19.4290234Z test_make_fx_symbolic_exhaustive_fft_fftshift_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.020s) 2022-11-23T01:28:19.4290429Z test_make_fx_symbolic_exhaustive_fft_hfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.027s) 2022-11-23T01:28:19.4290617Z test_make_fx_symbolic_exhaustive_fft_hfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.036s) 2022-11-23T01:28:19.4290813Z test_make_fx_symbolic_exhaustive_fft_hfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.026s) 2022-11-23T01:28:19.4291002Z test_make_fx_symbolic_exhaustive_fft_ifft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.026s) 2022-11-23T01:28:19.4291193Z test_make_fx_symbolic_exhaustive_fft_ifft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.026s) 2022-11-23T01:28:19.4291373Z test_make_fx_symbolic_exhaustive_fft_ifftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.025s) 2022-11-23T01:28:19.4291570Z test_make_fx_symbolic_exhaustive_fft_ifftshift_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.020s) 2022-11-23T01:28:19.4291765Z test_make_fx_symbolic_exhaustive_fft_ihfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.027s) 2022-11-23T01:28:19.4291955Z test_make_fx_symbolic_exhaustive_fft_ihfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.026s) 2022-11-23T01:28:19.4292149Z test_make_fx_symbolic_exhaustive_fft_ihfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.026s) 2022-11-23T01:28:19.4292341Z test_make_fx_symbolic_exhaustive_fft_irfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.028s) 2022-11-23T01:28:19.4292533Z test_make_fx_symbolic_exhaustive_fft_irfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.036s) 2022-11-23T01:28:19.4292727Z test_make_fx_symbolic_exhaustive_fft_irfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.027s) 2022-11-23T01:28:19.4292916Z test_make_fx_symbolic_exhaustive_fft_rfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.027s) 2022-11-23T01:28:19.4293108Z test_make_fx_symbolic_exhaustive_fft_rfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.026s) 2022-11-23T01:28:19.4293287Z test_make_fx_symbolic_exhaustive_fft_rfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.026s) 2022-11-23T01:28:19.4293461Z test_make_fx_symbolic_exhaustive_fill_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s) 2022-11-23T01:28:19.4293638Z test_make_fx_symbolic_exhaustive_flatten_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.159s) 2022-11-23T01:28:19.4293812Z test_make_fx_symbolic_exhaustive_flip_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.271s) 2022-11-23T01:28:19.4293994Z test_make_fx_symbolic_exhaustive_fliplr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.388s) 2022-11-23T01:28:19.4294170Z test_make_fx_symbolic_exhaustive_flipud_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.056s) 2022-11-23T01:28:19.4294375Z test_make_fx_symbolic_exhaustive_float_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.114s) 2022-11-23T01:28:19.4294558Z test_make_fx_symbolic_exhaustive_float_power_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.441s) 2022-11-23T01:28:19.4294730Z test_make_fx_symbolic_exhaustive_floor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s) 2022-11-23T01:28:19.4294901Z test_make_fx_symbolic_exhaustive_floor_divide_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.316s) 2022-11-23T01:28:19.4295074Z test_make_fx_symbolic_exhaustive_fmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.334s) 2022-11-23T01:28:19.4295275Z test_make_fx_symbolic_exhaustive_fmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.329s) 2022-11-23T01:28:19.4295449Z test_make_fx_symbolic_exhaustive_fmod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.341s) 2022-11-23T01:28:19.4295621Z test_make_fx_symbolic_exhaustive_frac_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s) 2022-11-23T01:28:19.4295817Z test_make_fx_symbolic_exhaustive_frexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.013s) 2022-11-23T01:28:19.4295984Z test_make_fx_symbolic_exhaustive_full_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s) 2022-11-23T01:28:19.4296161Z test_make_fx_symbolic_exhaustive_full_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.092s) 2022-11-23T01:28:19.4296337Z test_make_fx_symbolic_exhaustive_gather_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.100s) 2022-11-23T01:28:19.4296495Z test_make_fx_symbolic_exhaustive_ge_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.330s) 2022-11-23T01:28:19.4296686Z test_make_fx_symbolic_exhaustive_geqrf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.016s) 2022-11-23T01:28:19.4296880Z test_make_fx_symbolic_exhaustive_gradient_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.014s) 2022-11-23T01:28:19.4297067Z test_make_fx_symbolic_exhaustive_grid_sampler_2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (37.727s) 2022-11-23T01:28:19.4297237Z test_make_fx_symbolic_exhaustive_gt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.329s) 2022-11-23T01:28:19.4297407Z test_make_fx_symbolic_exhaustive_half_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.134s) 2022-11-23T01:28:19.4297588Z test_make_fx_symbolic_exhaustive_heaviside_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.592s) 2022-11-23T01:28:19.4297778Z test_make_fx_symbolic_exhaustive_histc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.006s) 2022-11-23T01:28:19.4297973Z test_make_fx_symbolic_exhaustive_histogram_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.005s) 2022-11-23T01:28:19.4298161Z test_make_fx_symbolic_exhaustive_histogramdd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.016s) 2022-11-23T01:28:19.4298355Z test_make_fx_symbolic_exhaustive_hsplit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.014s) 2022-11-23T01:28:19.4298532Z test_make_fx_symbolic_exhaustive_hstack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.075s) 2022-11-23T01:28:19.4298705Z test_make_fx_symbolic_exhaustive_hypot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.336s) 2022-11-23T01:28:19.4299147Z test_make_fx_symbolic_exhaustive_i0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.018s) 2022-11-23T01:28:19.4299327Z test_make_fx_symbolic_exhaustive_igamma_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.338s) 2022-11-23T01:28:19.4299508Z test_make_fx_symbolic_exhaustive_igammac_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.331s) 2022-11-23T01:28:19.4299688Z test_make_fx_symbolic_exhaustive_index_add_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.208s) 2022-11-23T01:28:19.4299926Z test_make_fx_symbolic_exhaustive_index_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.075s) 2022-11-23T01:28:19.4300107Z test_make_fx_symbolic_exhaustive_index_fill_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.056s) 2022-11-23T01:28:19.4300273Z test_make_fx_symbolic_exhaustive_index_put_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.149s) 2022-11-23T01:28:19.4300470Z test_make_fx_symbolic_exhaustive_index_reduce_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.017s) 2022-11-23T01:28:19.4300653Z test_make_fx_symbolic_exhaustive_index_select_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s) 2022-11-23T01:28:19.4300844Z test_make_fx_symbolic_exhaustive_inner_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.021s) 2022-11-23T01:28:19.4301098Z test_make_fx_symbolic_exhaustive_inplace_H_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4301315Z test_make_fx_symbolic_exhaustive_inplace_T_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4301541Z test_make_fx_symbolic_exhaustive_inplace___getitem___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4301761Z test_make_fx_symbolic_exhaustive_inplace___radd___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4301983Z test_make_fx_symbolic_exhaustive_inplace___rdiv___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4302206Z test_make_fx_symbolic_exhaustive_inplace___rmatmul___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4302412Z test_make_fx_symbolic_exhaustive_inplace___rmod___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4302632Z test_make_fx_symbolic_exhaustive_inplace___rmul___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4302847Z test_make_fx_symbolic_exhaustive_inplace___rpow___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4303058Z test_make_fx_symbolic_exhaustive_inplace___rsub___cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4303295Z test_make_fx_symbolic_exhaustive_inplace__softmax_backward_data_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4303480Z test_make_fx_symbolic_exhaustive_inplace_abs_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s) 2022-11-23T01:28:19.4303667Z test_make_fx_symbolic_exhaustive_inplace_acos_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.042s) 2022-11-23T01:28:19.4303856Z test_make_fx_symbolic_exhaustive_inplace_acosh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.046s) 2022-11-23T01:28:19.4304039Z test_make_fx_symbolic_exhaustive_inplace_add_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.241s) 2022-11-23T01:28:19.4304224Z test_make_fx_symbolic_exhaustive_inplace_addbmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.121s) 2022-11-23T01:28:19.4304400Z test_make_fx_symbolic_exhaustive_inplace_addcdiv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.271s) 2022-11-23T01:28:19.4304583Z test_make_fx_symbolic_exhaustive_inplace_addcmul_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.274s) 2022-11-23T01:28:19.4304785Z test_make_fx_symbolic_exhaustive_inplace_addmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.056s) 2022-11-23T01:28:19.4304998Z test_make_fx_symbolic_exhaustive_inplace_addmm_decomposed_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.055s) 2022-11-23T01:28:19.4305227Z test_make_fx_symbolic_exhaustive_inplace_addmv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.042s) 2022-11-23T01:28:19.4305428Z test_make_fx_symbolic_exhaustive_inplace_addr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.050s) 2022-11-23T01:28:19.4305644Z test_make_fx_symbolic_exhaustive_inplace_all_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4305866Z test_make_fx_symbolic_exhaustive_inplace_allclose_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4306113Z test_make_fx_symbolic_exhaustive_inplace_amax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4306326Z test_make_fx_symbolic_exhaustive_inplace_amin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4306547Z test_make_fx_symbolic_exhaustive_inplace_aminmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4306754Z test_make_fx_symbolic_exhaustive_inplace_angle_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4306966Z test_make_fx_symbolic_exhaustive_inplace_any_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4307186Z test_make_fx_symbolic_exhaustive_inplace_arange_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4307407Z test_make_fx_symbolic_exhaustive_inplace_argmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4307628Z test_make_fx_symbolic_exhaustive_inplace_argmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4307911Z test_make_fx_symbolic_exhaustive_inplace_argsort_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4308136Z test_make_fx_symbolic_exhaustive_inplace_argwhere_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4308327Z test_make_fx_symbolic_exhaustive_inplace_as_strided_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.114s) 2022-11-23T01:28:19.4308560Z test_make_fx_symbolic_exhaustive_inplace_as_strided_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4308748Z test_make_fx_symbolic_exhaustive_inplace_asin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s) 2022-11-23T01:28:19.4308934Z test_make_fx_symbolic_exhaustive_inplace_asinh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.029s) 2022-11-23T01:28:19.4309108Z test_make_fx_symbolic_exhaustive_inplace_atan2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.200s) 2022-11-23T01:28:19.4309292Z test_make_fx_symbolic_exhaustive_inplace_atan_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.031s) 2022-11-23T01:28:19.4309474Z test_make_fx_symbolic_exhaustive_inplace_atanh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s) 2022-11-23T01:28:19.4309699Z test_make_fx_symbolic_exhaustive_inplace_atleast_1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4309923Z test_make_fx_symbolic_exhaustive_inplace_atleast_2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4310144Z test_make_fx_symbolic_exhaustive_inplace_atleast_3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4310380Z test_make_fx_symbolic_exhaustive_inplace_baddbmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.076s) 2022-11-23T01:28:19.4310602Z test_make_fx_symbolic_exhaustive_inplace_bernoulli_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4310821Z test_make_fx_symbolic_exhaustive_inplace_bfloat16_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4311024Z test_make_fx_symbolic_exhaustive_inplace_block_diag_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.4311227Z test_make_fx_symbolic_exhaustive_inplace_bmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4311474Z test_make_fx_symbolic_exhaustive_inplace_bool_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4311705Z test_make_fx_symbolic_exhaustive_inplace_broadcast_shapes_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4311938Z test_make_fx_symbolic_exhaustive_inplace_broadcast_tensors_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4312168Z test_make_fx_symbolic_exhaustive_inplace_broadcast_to_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4312390Z test_make_fx_symbolic_exhaustive_inplace_bucketize_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4312608Z test_make_fx_symbolic_exhaustive_inplace_byte_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4312839Z test_make_fx_symbolic_exhaustive_inplace_cartesian_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4313055Z test_make_fx_symbolic_exhaustive_inplace_cat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4313271Z test_make_fx_symbolic_exhaustive_inplace_cdist_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4313492Z test_make_fx_symbolic_exhaustive_inplace_cdouble_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4313662Z test_make_fx_symbolic_exhaustive_inplace_ceil_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.031s) 2022-11-23T01:28:19.4313880Z test_make_fx_symbolic_exhaustive_inplace_cfloat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4314096Z test_make_fx_symbolic_exhaustive_inplace_chalf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4314314Z test_make_fx_symbolic_exhaustive_inplace_char_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4314534Z test_make_fx_symbolic_exhaustive_inplace_cholesky_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4314763Z test_make_fx_symbolic_exhaustive_inplace_cholesky_inverse_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4314990Z test_make_fx_symbolic_exhaustive_inplace_cholesky_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4315208Z test_make_fx_symbolic_exhaustive_inplace_chunk_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4315394Z test_make_fx_symbolic_exhaustive_inplace_clamp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.590s) 2022-11-23T01:28:19.4315610Z test_make_fx_symbolic_exhaustive_inplace_clamp_max_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.278s) 2022-11-23T01:28:19.4315800Z test_make_fx_symbolic_exhaustive_inplace_clamp_min_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.279s) 2022-11-23T01:28:19.4316003Z test_make_fx_symbolic_exhaustive_inplace_clone_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4316224Z test_make_fx_symbolic_exhaustive_inplace_column_stack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4316479Z test_make_fx_symbolic_exhaustive_inplace_combinations_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4316700Z test_make_fx_symbolic_exhaustive_inplace_complex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4316922Z test_make_fx_symbolic_exhaustive_inplace_conj_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4317114Z test_make_fx_symbolic_exhaustive_inplace_conj_physical_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.026s) 2022-11-23T01:28:19.4317341Z test_make_fx_symbolic_exhaustive_inplace_constant_pad_nd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4317566Z test_make_fx_symbolic_exhaustive_inplace_contiguous_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4317757Z test_make_fx_symbolic_exhaustive_inplace_copysign_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.282s) 2022-11-23T01:28:19.4317977Z test_make_fx_symbolic_exhaustive_inplace_corrcoef_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4318161Z test_make_fx_symbolic_exhaustive_inplace_cos_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.042s) 2022-11-23T01:28:19.4318334Z test_make_fx_symbolic_exhaustive_inplace_cosh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.042s) 2022-11-23T01:28:19.4318559Z test_make_fx_symbolic_exhaustive_inplace_count_nonzero_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4318773Z test_make_fx_symbolic_exhaustive_inplace_cov_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4318992Z test_make_fx_symbolic_exhaustive_inplace_cross_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4319210Z test_make_fx_symbolic_exhaustive_inplace_cummax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4319425Z test_make_fx_symbolic_exhaustive_inplace_cummin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4319627Z test_make_fx_symbolic_exhaustive_inplace_cumprod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.035s) 2022-11-23T01:28:19.4319814Z test_make_fx_symbolic_exhaustive_inplace_cumsum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.664s) 2022-11-23T01:28:19.4320051Z test_make_fx_symbolic_exhaustive_inplace_cumulative_trapezoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4320239Z test_make_fx_symbolic_exhaustive_inplace_deg2rad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.029s) 2022-11-23T01:28:19.4320443Z test_make_fx_symbolic_exhaustive_inplace_diag_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4320701Z test_make_fx_symbolic_exhaustive_inplace_diag_embed_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4320926Z test_make_fx_symbolic_exhaustive_inplace_diagflat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4321153Z test_make_fx_symbolic_exhaustive_inplace_diagonal_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4321377Z test_make_fx_symbolic_exhaustive_inplace_diagonal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4321680Z test_make_fx_symbolic_exhaustive_inplace_diagonal_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4321896Z test_make_fx_symbolic_exhaustive_inplace_diff_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4322087Z test_make_fx_symbolic_exhaustive_inplace_digamma_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.042s) 2022-11-23T01:28:19.4322301Z test_make_fx_symbolic_exhaustive_inplace_dist_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4322502Z test_make_fx_symbolic_exhaustive_inplace_div_floor_rounding_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.692s) 2022-11-23T01:28:19.4322702Z test_make_fx_symbolic_exhaustive_inplace_div_no_rounding_mode_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.169s) 2022-11-23T01:28:19.4322889Z test_make_fx_symbolic_exhaustive_inplace_div_trunc_rounding_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.218s) 2022-11-23T01:28:19.4323104Z test_make_fx_symbolic_exhaustive_inplace_dot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4323326Z test_make_fx_symbolic_exhaustive_inplace_double_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4323542Z test_make_fx_symbolic_exhaustive_inplace_dsplit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4323755Z test_make_fx_symbolic_exhaustive_inplace_dstack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4323965Z test_make_fx_symbolic_exhaustive_inplace_einsum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4324175Z test_make_fx_symbolic_exhaustive_inplace_empty_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.4324380Z test_make_fx_symbolic_exhaustive_inplace_empty_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.4324560Z test_make_fx_symbolic_exhaustive_inplace_eq_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.241s) 2022-11-23T01:28:19.4324776Z test_make_fx_symbolic_exhaustive_inplace_equal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4324945Z test_make_fx_symbolic_exhaustive_inplace_erf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s) 2022-11-23T01:28:19.4325127Z test_make_fx_symbolic_exhaustive_inplace_erfc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.044s) 2022-11-23T01:28:19.4325312Z test_make_fx_symbolic_exhaustive_inplace_erfinv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.029s) 2022-11-23T01:28:19.4325496Z test_make_fx_symbolic_exhaustive_inplace_exp2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.042s) 2022-11-23T01:28:19.4325677Z test_make_fx_symbolic_exhaustive_inplace_exp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.042s) 2022-11-23T01:28:19.4325943Z test_make_fx_symbolic_exhaustive_inplace_expand_as_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4326162Z test_make_fx_symbolic_exhaustive_inplace_expand_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4326344Z test_make_fx_symbolic_exhaustive_inplace_expm1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.029s) 2022-11-23T01:28:19.4326558Z test_make_fx_symbolic_exhaustive_inplace_eye_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4326780Z test_make_fx_symbolic_exhaustive_inplace_fft_fft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4327038Z test_make_fx_symbolic_exhaustive_inplace_fft_fft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4327245Z test_make_fx_symbolic_exhaustive_inplace_fft_fftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4327467Z test_make_fx_symbolic_exhaustive_inplace_fft_fftshift_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4327685Z test_make_fx_symbolic_exhaustive_inplace_fft_hfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4327902Z test_make_fx_symbolic_exhaustive_inplace_fft_hfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4328123Z test_make_fx_symbolic_exhaustive_inplace_fft_hfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4328338Z test_make_fx_symbolic_exhaustive_inplace_fft_ifft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4328559Z test_make_fx_symbolic_exhaustive_inplace_fft_ifft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4328777Z test_make_fx_symbolic_exhaustive_inplace_fft_ifftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4329001Z test_make_fx_symbolic_exhaustive_inplace_fft_ifftshift_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4329221Z test_make_fx_symbolic_exhaustive_inplace_fft_ihfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4329439Z test_make_fx_symbolic_exhaustive_inplace_fft_ihfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4329646Z test_make_fx_symbolic_exhaustive_inplace_fft_ihfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4329867Z test_make_fx_symbolic_exhaustive_inplace_fft_irfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4330086Z test_make_fx_symbolic_exhaustive_inplace_fft_irfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4330310Z test_make_fx_symbolic_exhaustive_inplace_fft_irfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4330530Z test_make_fx_symbolic_exhaustive_inplace_fft_rfft2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4330747Z test_make_fx_symbolic_exhaustive_inplace_fft_rfft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4330991Z test_make_fx_symbolic_exhaustive_inplace_fft_rfftn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4331177Z test_make_fx_symbolic_exhaustive_inplace_fill_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s) 2022-11-23T01:28:19.4331395Z test_make_fx_symbolic_exhaustive_inplace_flatten_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4331613Z test_make_fx_symbolic_exhaustive_inplace_flip_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4331873Z test_make_fx_symbolic_exhaustive_inplace_fliplr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4332075Z test_make_fx_symbolic_exhaustive_inplace_flipud_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4332292Z test_make_fx_symbolic_exhaustive_inplace_float_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4332499Z test_make_fx_symbolic_exhaustive_inplace_float_power_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.011s) 2022-11-23T01:28:19.4332683Z test_make_fx_symbolic_exhaustive_inplace_floor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.029s) 2022-11-23T01:28:19.4332878Z test_make_fx_symbolic_exhaustive_inplace_floor_divide_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.684s) 2022-11-23T01:28:19.4333095Z test_make_fx_symbolic_exhaustive_inplace_fmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4333318Z test_make_fx_symbolic_exhaustive_inplace_fmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4333503Z test_make_fx_symbolic_exhaustive_inplace_fmod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.200s) 2022-11-23T01:28:19.4333691Z test_make_fx_symbolic_exhaustive_inplace_frac_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.046s) 2022-11-23T01:28:19.4333909Z test_make_fx_symbolic_exhaustive_inplace_frexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4334112Z test_make_fx_symbolic_exhaustive_inplace_full_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4334330Z test_make_fx_symbolic_exhaustive_inplace_full_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4334554Z test_make_fx_symbolic_exhaustive_inplace_gather_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4334737Z test_make_fx_symbolic_exhaustive_inplace_ge_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.198s) 2022-11-23T01:28:19.4334955Z test_make_fx_symbolic_exhaustive_inplace_geqrf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4335179Z test_make_fx_symbolic_exhaustive_inplace_gradient_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4335407Z test_make_fx_symbolic_exhaustive_inplace_grid_sampler_2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4335588Z test_make_fx_symbolic_exhaustive_inplace_gt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.198s) 2022-11-23T01:28:19.4335810Z test_make_fx_symbolic_exhaustive_inplace_half_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4336003Z test_make_fx_symbolic_exhaustive_inplace_heaviside_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.330s) 2022-11-23T01:28:19.4336246Z test_make_fx_symbolic_exhaustive_inplace_histc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4336456Z test_make_fx_symbolic_exhaustive_inplace_histogram_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4336681Z test_make_fx_symbolic_exhaustive_inplace_histogramdd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4336897Z test_make_fx_symbolic_exhaustive_inplace_hsplit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4337145Z test_make_fx_symbolic_exhaustive_inplace_hstack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4337331Z test_make_fx_symbolic_exhaustive_inplace_hypot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.199s) 2022-11-23T01:28:19.4337528Z test_make_fx_symbolic_exhaustive_inplace_i0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.023s) 2022-11-23T01:28:19.4337714Z test_make_fx_symbolic_exhaustive_inplace_igamma_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.197s) 2022-11-23T01:28:19.4337902Z test_make_fx_symbolic_exhaustive_inplace_igammac_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.196s) 2022-11-23T01:28:19.4338088Z test_make_fx_symbolic_exhaustive_inplace_index_add_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.222s) 2022-11-23T01:28:19.4338278Z test_make_fx_symbolic_exhaustive_inplace_index_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.075s) 2022-11-23T01:28:19.4338449Z test_make_fx_symbolic_exhaustive_inplace_index_fill_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.061s) 2022-11-23T01:28:19.4338642Z test_make_fx_symbolic_exhaustive_inplace_index_put_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.165s) 2022-11-23T01:28:19.4339032Z test_make_fx_symbolic_exhaustive_inplace_index_reduce_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.019s) 2022-11-23T01:28:19.4339262Z test_make_fx_symbolic_exhaustive_inplace_index_select_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4339482Z test_make_fx_symbolic_exhaustive_inplace_inner_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4339701Z test_make_fx_symbolic_exhaustive_inplace_int_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4339923Z test_make_fx_symbolic_exhaustive_inplace_isclose_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4340147Z test_make_fx_symbolic_exhaustive_inplace_isfinite_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4340364Z test_make_fx_symbolic_exhaustive_inplace_isin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4340582Z test_make_fx_symbolic_exhaustive_inplace_isinf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4340796Z test_make_fx_symbolic_exhaustive_inplace_isnan_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4341003Z test_make_fx_symbolic_exhaustive_inplace_isneginf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4341226Z test_make_fx_symbolic_exhaustive_inplace_isposinf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4341495Z test_make_fx_symbolic_exhaustive_inplace_isreal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4341721Z test_make_fx_symbolic_exhaustive_inplace_jiterator_2inputs_2outputs_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:28:19.4341953Z test_make_fx_symbolic_exhaustive_inplace_jiterator_4inputs_with_extra_args_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:28:19.4342168Z test_make_fx_symbolic_exhaustive_inplace_jiterator_binary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:28:19.4342434Z test_make_fx_symbolic_exhaustive_inplace_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:28:19.4342650Z test_make_fx_symbolic_exhaustive_inplace_jiterator_unary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:28:19.4342871Z test_make_fx_symbolic_exhaustive_inplace_kron_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4343091Z test_make_fx_symbolic_exhaustive_inplace_kthvalue_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4343278Z test_make_fx_symbolic_exhaustive_inplace_ldexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.223s) 2022-11-23T01:28:19.4343446Z test_make_fx_symbolic_exhaustive_inplace_le_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.197s) 2022-11-23T01:28:19.4343632Z test_make_fx_symbolic_exhaustive_inplace_lerp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.438s) 2022-11-23T01:28:19.4343816Z test_make_fx_symbolic_exhaustive_inplace_lgamma_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.044s) 2022-11-23T01:28:19.4344048Z test_make_fx_symbolic_exhaustive_inplace_linalg_cholesky_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4344280Z test_make_fx_symbolic_exhaustive_inplace_linalg_cholesky_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4344503Z test_make_fx_symbolic_exhaustive_inplace_linalg_cond_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4344727Z test_make_fx_symbolic_exhaustive_inplace_linalg_cross_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4344951Z test_make_fx_symbolic_exhaustive_inplace_linalg_det_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4345185Z test_make_fx_symbolic_exhaustive_inplace_linalg_det_singular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4345409Z test_make_fx_symbolic_exhaustive_inplace_linalg_eig_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4345637Z test_make_fx_symbolic_exhaustive_inplace_linalg_eigh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4345854Z test_make_fx_symbolic_exhaustive_inplace_linalg_eigvals_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4346081Z test_make_fx_symbolic_exhaustive_inplace_linalg_eigvalsh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4346324Z test_make_fx_symbolic_exhaustive_inplace_linalg_householder_product_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4346573Z test_make_fx_symbolic_exhaustive_inplace_linalg_inv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4346798Z test_make_fx_symbolic_exhaustive_inplace_linalg_inv_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4347034Z test_make_fx_symbolic_exhaustive_inplace_linalg_ldl_factor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4347267Z test_make_fx_symbolic_exhaustive_inplace_linalg_ldl_factor_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4347525Z test_make_fx_symbolic_exhaustive_inplace_linalg_ldl_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4347730Z test_make_fx_symbolic_exhaustive_inplace_linalg_lstsq_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.4348024Z test_make_fx_symbolic_exhaustive_inplace_linalg_lstsq_grad_oriented_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.4348247Z test_make_fx_symbolic_exhaustive_inplace_linalg_lu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4348461Z test_make_fx_symbolic_exhaustive_inplace_linalg_lu_factor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4348695Z test_make_fx_symbolic_exhaustive_inplace_linalg_lu_factor_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4348925Z test_make_fx_symbolic_exhaustive_inplace_linalg_lu_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4349160Z test_make_fx_symbolic_exhaustive_inplace_linalg_matrix_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4349394Z test_make_fx_symbolic_exhaustive_inplace_linalg_matrix_power_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4349626Z test_make_fx_symbolic_exhaustive_inplace_linalg_matrix_rank_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4349870Z test_make_fx_symbolic_exhaustive_inplace_linalg_matrix_rank_hermitian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4350095Z test_make_fx_symbolic_exhaustive_inplace_linalg_multi_dot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4350319Z test_make_fx_symbolic_exhaustive_inplace_linalg_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4350566Z test_make_fx_symbolic_exhaustive_inplace_linalg_norm_subgradients_at_zero_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4350788Z test_make_fx_symbolic_exhaustive_inplace_linalg_pinv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4351022Z test_make_fx_symbolic_exhaustive_inplace_linalg_pinv_hermitian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4351286Z test_make_fx_symbolic_exhaustive_inplace_linalg_pinv_singular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:28:19.4351501Z test_make_fx_symbolic_exhaustive_inplace_linalg_qr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4351760Z test_make_fx_symbolic_exhaustive_inplace_linalg_slogdet_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4351984Z test_make_fx_symbolic_exhaustive_inplace_linalg_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4352208Z test_make_fx_symbolic_exhaustive_inplace_linalg_solve_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4352441Z test_make_fx_symbolic_exhaustive_inplace_linalg_solve_triangular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4352695Z test_make_fx_symbolic_exhaustive_inplace_linalg_svd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4352920Z test_make_fx_symbolic_exhaustive_inplace_linalg_svdvals_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4353148Z test_make_fx_symbolic_exhaustive_inplace_linalg_tensorinv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4353378Z test_make_fx_symbolic_exhaustive_inplace_linalg_tensorsolve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4353605Z test_make_fx_symbolic_exhaustive_inplace_linalg_vander_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4353831Z test_make_fx_symbolic_exhaustive_inplace_linalg_vecdot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4354049Z test_make_fx_symbolic_exhaustive_inplace_linalg_vector_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4354271Z test_make_fx_symbolic_exhaustive_inplace_linspace_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4354456Z test_make_fx_symbolic_exhaustive_inplace_log10_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.044s) 2022-11-23T01:28:19.4354641Z test_make_fx_symbolic_exhaustive_inplace_log1p_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s) 2022-11-23T01:28:19.4354823Z test_make_fx_symbolic_exhaustive_inplace_log2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.043s) 2022-11-23T01:28:19.4355010Z test_make_fx_symbolic_exhaustive_inplace_log_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.042s) 2022-11-23T01:28:19.4355242Z test_make_fx_symbolic_exhaustive_inplace_log_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4355475Z test_make_fx_symbolic_exhaustive_inplace_log_softmax_with_dtype_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4355700Z test_make_fx_symbolic_exhaustive_inplace_logaddexp2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4355923Z test_make_fx_symbolic_exhaustive_inplace_logaddexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4356150Z test_make_fx_symbolic_exhaustive_inplace_logcumsumexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4356358Z test_make_fx_symbolic_exhaustive_inplace_logdet_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4356551Z test_make_fx_symbolic_exhaustive_inplace_logical_and_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.165s) 2022-11-23T01:28:19.4356770Z test_make_fx_symbolic_exhaustive_inplace_logical_not_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s) 2022-11-23T01:28:19.4356960Z test_make_fx_symbolic_exhaustive_inplace_logical_or_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.166s) 2022-11-23T01:28:19.4357147Z test_make_fx_symbolic_exhaustive_inplace_logical_xor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.166s) 2022-11-23T01:28:19.4357332Z test_make_fx_symbolic_exhaustive_inplace_logit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.078s) 2022-11-23T01:28:19.4357556Z test_make_fx_symbolic_exhaustive_inplace_logspace_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4357807Z test_make_fx_symbolic_exhaustive_inplace_logsumexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4358024Z test_make_fx_symbolic_exhaustive_inplace_long_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4358207Z test_make_fx_symbolic_exhaustive_inplace_lt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.198s) 2022-11-23T01:28:19.4358410Z test_make_fx_symbolic_exhaustive_inplace_lu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4358629Z test_make_fx_symbolic_exhaustive_inplace_lu_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4358850Z test_make_fx_symbolic_exhaustive_inplace_lu_unpack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4359064Z test_make_fx_symbolic_exhaustive_inplace_mH_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4359277Z test_make_fx_symbolic_exhaustive_inplace_mT_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4359500Z test_make_fx_symbolic_exhaustive_inplace_masked_amax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4359717Z test_make_fx_symbolic_exhaustive_inplace_masked_amin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4359944Z test_make_fx_symbolic_exhaustive_inplace_masked_argmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4360171Z test_make_fx_symbolic_exhaustive_inplace_masked_argmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4360402Z test_make_fx_symbolic_exhaustive_inplace_masked_cumprod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4360626Z test_make_fx_symbolic_exhaustive_inplace_masked_cumsum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4360806Z test_make_fx_symbolic_exhaustive_inplace_masked_fill_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.148s) 2022-11-23T01:28:19.4361037Z test_make_fx_symbolic_exhaustive_inplace_masked_log_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4361268Z test_make_fx_symbolic_exhaustive_inplace_masked_logaddexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4361481Z test_make_fx_symbolic_exhaustive_inplace_masked_logsumexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.4361707Z test_make_fx_symbolic_exhaustive_inplace_masked_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4361961Z test_make_fx_symbolic_exhaustive_inplace_masked_median_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4362182Z test_make_fx_symbolic_exhaustive_inplace_masked_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4362409Z test_make_fx_symbolic_exhaustive_inplace_masked_normalize_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4362634Z test_make_fx_symbolic_exhaustive_inplace_masked_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4362877Z test_make_fx_symbolic_exhaustive_inplace_masked_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.125s) 2022-11-23T01:28:19.4363103Z test_make_fx_symbolic_exhaustive_inplace_masked_select_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4363333Z test_make_fx_symbolic_exhaustive_inplace_masked_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4363545Z test_make_fx_symbolic_exhaustive_inplace_masked_softmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4363766Z test_make_fx_symbolic_exhaustive_inplace_masked_std_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4363983Z test_make_fx_symbolic_exhaustive_inplace_masked_sum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4364207Z test_make_fx_symbolic_exhaustive_inplace_masked_var_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4364424Z test_make_fx_symbolic_exhaustive_inplace_matmul_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4364641Z test_make_fx_symbolic_exhaustive_inplace_matrix_exp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4364860Z test_make_fx_symbolic_exhaustive_inplace_max_binary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4365109Z test_make_fx_symbolic_exhaustive_inplace_max_pool2d_with_indices_backward_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4365345Z test_make_fx_symbolic_exhaustive_inplace_max_reduction_no_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4365576Z test_make_fx_symbolic_exhaustive_inplace_max_reduction_with_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4365797Z test_make_fx_symbolic_exhaustive_inplace_maximum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4366000Z test_make_fx_symbolic_exhaustive_inplace_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4366217Z test_make_fx_symbolic_exhaustive_inplace_median_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4366452Z test_make_fx_symbolic_exhaustive_inplace_meshgrid_list_of_tensors_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4366692Z test_make_fx_symbolic_exhaustive_inplace_meshgrid_variadic_tensors_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4366944Z test_make_fx_symbolic_exhaustive_inplace_min_binary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4367180Z test_make_fx_symbolic_exhaustive_inplace_min_reduction_no_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4367410Z test_make_fx_symbolic_exhaustive_inplace_min_reduction_with_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4367627Z test_make_fx_symbolic_exhaustive_inplace_minimum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4367869Z test_make_fx_symbolic_exhaustive_inplace_mm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4368087Z test_make_fx_symbolic_exhaustive_inplace_mode_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4368309Z test_make_fx_symbolic_exhaustive_inplace_movedim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4368527Z test_make_fx_symbolic_exhaustive_inplace_msort_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4368698Z test_make_fx_symbolic_exhaustive_inplace_mul_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.166s) 2022-11-23T01:28:19.4368922Z test_make_fx_symbolic_exhaustive_inplace_multinomial_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4369138Z test_make_fx_symbolic_exhaustive_inplace_mv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4369338Z test_make_fx_symbolic_exhaustive_inplace_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.308s) 2022-11-23T01:28:19.4369540Z test_make_fx_symbolic_exhaustive_inplace_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.298s) 2022-11-23T01:28:19.4369738Z test_make_fx_symbolic_exhaustive_inplace_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.289s) 2022-11-23T01:28:19.4369923Z test_make_fx_symbolic_exhaustive_inplace_nan_to_num_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.136s) 2022-11-23T01:28:19.4370140Z test_make_fx_symbolic_exhaustive_inplace_nanmean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4370363Z test_make_fx_symbolic_exhaustive_inplace_nanmedian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4370590Z test_make_fx_symbolic_exhaustive_inplace_nanquantile_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4370798Z test_make_fx_symbolic_exhaustive_inplace_nansum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4371017Z test_make_fx_symbolic_exhaustive_inplace_narrow_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4371230Z test_make_fx_symbolic_exhaustive_inplace_narrow_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4371456Z test_make_fx_symbolic_exhaustive_inplace_native_batch_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4371698Z test_make_fx_symbolic_exhaustive_inplace_native_dropout_backward_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4371927Z test_make_fx_symbolic_exhaustive_inplace_native_layer_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4372133Z test_make_fx_symbolic_exhaustive_inplace_ne_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.200s) 2022-11-23T01:28:19.4372318Z test_make_fx_symbolic_exhaustive_inplace_neg_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s) 2022-11-23T01:28:19.4372521Z test_make_fx_symbolic_exhaustive_inplace_new_empty_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:28:19.4372750Z test_make_fx_symbolic_exhaustive_inplace_new_empty_strided_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4373002Z test_make_fx_symbolic_exhaustive_inplace_new_full_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4373212Z test_make_fx_symbolic_exhaustive_inplace_new_ones_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4373434Z test_make_fx_symbolic_exhaustive_inplace_new_zeros_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4373625Z test_make_fx_symbolic_exhaustive_inplace_nextafter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.199s) 2022-11-23T01:28:19.4373882Z test_make_fx_symbolic_exhaustive_inplace_nn_functional__scaled_dot_product_attention_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4374128Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_adaptive_avg_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4374375Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_adaptive_avg_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4374627Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_adaptive_avg_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4374869Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_adaptive_max_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4375111Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_adaptive_max_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4375353Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_adaptive_max_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4375565Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_alpha_dropout_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.331s) 2022-11-23T01:28:19.4375804Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_avg_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4376042Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_avg_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4376260Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_avg_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4376479Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_batch_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.4376717Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_bilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4376964Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_binary_cross_entropy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4377252Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_binary_cross_entropy_with_logits_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4377456Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_celu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.057s) 2022-11-23T01:28:19.4377686Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_conv1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4377913Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_conv2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4378186Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_conv_transpose1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4378435Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_conv_transpose2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4378679Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_conv_transpose3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4379121Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_cosine_embedding_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4379355Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_cosine_similarity_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4379601Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_cross_entropy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4379836Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_ctc_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4380905Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_dropout2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead. 2022-11-23T01:28:19.4381154Z warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise " 2022-11-23T01:28:19.4381969Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead. 2022-11-23T01:28:19.4382209Z warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise " 2022-11-23T01:28:19.4383028Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead. 2022-11-23T01:28:19.4383325Z warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise " 2022-11-23T01:28:19.4384147Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead. 2022-11-23T01:28:19.4384388Z warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise " 2022-11-23T01:28:19.4385232Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead. 2022-11-23T01:28:19.4385472Z warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise " 2022-11-23T01:28:19.4386281Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead. 2022-11-23T01:28:19.4386524Z warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise " 2022-11-23T01:28:19.4386592Z ok (0.572s) 2022-11-23T01:28:19.4386804Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_dropout3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.842s) 2022-11-23T01:28:19.4387010Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_dropout_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.302s) 2022-11-23T01:28:19.4387210Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_elu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.072s) 2022-11-23T01:28:19.4387453Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_embedding_bag_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4387683Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_embedding_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4387984Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_feature_alpha_dropout_with_train_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.459s) 2022-11-23T01:28:19.4388219Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_feature_alpha_dropout_without_train_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.135s) 2022-11-23T01:28:19.4388469Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_fractional_max_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4388716Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_fractional_max_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4388959Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_gaussian_nll_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4389192Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_gelu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4389455Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_glu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4389700Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_grid_sample_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4389935Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_group_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4390173Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_hardshrink_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4390433Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_hardsigmoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.022s) 2022-11-23T01:28:19.4390658Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_hardswish_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4390893Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_hardtanh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4391140Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_hinge_embedding_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4391375Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_huber_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4391613Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_instance_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4391858Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_interpolate_area_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4392106Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_interpolate_bicubic_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4392353Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_interpolate_bilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4392598Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_interpolate_linear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4392845Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_interpolate_nearest_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4393094Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_interpolate_trilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4393324Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_kl_div_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4393555Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_l1_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4393775Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_layer_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4393980Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_leaky_relu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.352s) 2022-11-23T01:28:19.4394210Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_linear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4394480Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_local_response_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4394719Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_logsigmoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4394964Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_margin_ranking_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4395196Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4395452Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4395690Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4395908Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_unpool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.4396148Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_unpool1d_grad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4396362Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_unpool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.4396594Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_unpool2d_grad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4396822Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_unpool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.4397070Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_max_unpool3d_grad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4397255Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_mish_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.073s) 2022-11-23T01:28:19.4397489Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_mse_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4397725Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_multi_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4397974Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_multilabel_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4398227Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_multilabel_soft_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4398439Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_nll_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.4398672Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_normalize_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4398908Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_pad_circular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4399143Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_pad_constant_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4399411Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_pad_reflect_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4399653Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_pad_replicate_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4399894Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_pairwise_distance_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4400110Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_pdist_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4400388Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_pixel_shuffle_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4400632Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_pixel_unshuffle_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4400874Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_poisson_nll_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4401103Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_prelu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4401330Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_relu6_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4401562Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_relu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4401764Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_rrelu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.048s) 2022-11-23T01:28:19.4401963Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_selu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.072s) 2022-11-23T01:28:19.4402158Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_silu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.065s) 2022-11-23T01:28:19.4402395Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_smooth_l1_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4402635Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_soft_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4402858Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_softmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4403101Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_softmin_with_dtype_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4403337Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_softplus_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4403576Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_softshrink_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4403806Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_softsign_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4404046Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_tanhshrink_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4404248Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_threshold_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.108s) 2022-11-23T01:28:19.4404562Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_triplet_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4404823Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_triplet_margin_with_distance_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4405055Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_unfold_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4405298Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_upsample_bilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4405574Z test_make_fx_symbolic_exhaustive_inplace_nn_functional_upsample_nearest_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4405800Z test_make_fx_symbolic_exhaustive_inplace_nonzero_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4406007Z test_make_fx_symbolic_exhaustive_inplace_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4406228Z test_make_fx_symbolic_exhaustive_inplace_norm_fro_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4406445Z test_make_fx_symbolic_exhaustive_inplace_norm_inf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4406665Z test_make_fx_symbolic_exhaustive_inplace_norm_nuc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4406890Z test_make_fx_symbolic_exhaustive_inplace_normal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4407119Z test_make_fx_symbolic_exhaustive_inplace_normal_number_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4407336Z test_make_fx_symbolic_exhaustive_inplace_ones_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4407559Z test_make_fx_symbolic_exhaustive_inplace_ones_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4407775Z test_make_fx_symbolic_exhaustive_inplace_ormqr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4407989Z test_make_fx_symbolic_exhaustive_inplace_outer_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4408217Z test_make_fx_symbolic_exhaustive_inplace_pca_lowrank_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4408424Z test_make_fx_symbolic_exhaustive_inplace_permute_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4408642Z test_make_fx_symbolic_exhaustive_inplace_pinverse_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4408855Z test_make_fx_symbolic_exhaustive_inplace_polar_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4409078Z test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.029s) 2022-11-23T01:28:19.4409300Z test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.029s) 2022-11-23T01:28:19.4409547Z test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.029s) 2022-11-23T01:28:19.4409764Z test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.029s) 2022-11-23T01:28:19.4409981Z test_make_fx_symbolic_exhaustive_inplace_polygamma_polygamma_n_4_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.029s) 2022-11-23T01:28:19.4410204Z test_make_fx_symbolic_exhaustive_inplace_positive_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4410418Z test_make_fx_symbolic_exhaustive_inplace_pow_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.199s) 2022-11-23T01:28:19.4410638Z test_make_fx_symbolic_exhaustive_inplace_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4410813Z test_make_fx_symbolic_exhaustive_inplace_put_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.364s) 2022-11-23T01:28:19.4411029Z test_make_fx_symbolic_exhaustive_inplace_qr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4411256Z test_make_fx_symbolic_exhaustive_inplace_quantile_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4411444Z test_make_fx_symbolic_exhaustive_inplace_rad2deg_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s) 2022-11-23T01:28:19.4411667Z test_make_fx_symbolic_exhaustive_inplace_rand_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4411890Z test_make_fx_symbolic_exhaustive_inplace_randint_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4412118Z test_make_fx_symbolic_exhaustive_inplace_randint_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4412338Z test_make_fx_symbolic_exhaustive_inplace_randn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4412560Z test_make_fx_symbolic_exhaustive_inplace_randn_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4412781Z test_make_fx_symbolic_exhaustive_inplace_ravel_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4413000Z test_make_fx_symbolic_exhaustive_inplace_real_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4413181Z test_make_fx_symbolic_exhaustive_inplace_reciprocal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.044s) 2022-11-23T01:28:19.4413374Z test_make_fx_symbolic_exhaustive_inplace_remainder_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.200s) 2022-11-23T01:28:19.4413575Z test_make_fx_symbolic_exhaustive_inplace_renorm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.036s) 2022-11-23T01:28:19.4413798Z test_make_fx_symbolic_exhaustive_inplace_repeat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4414032Z test_make_fx_symbolic_exhaustive_inplace_repeat_interleave_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4414258Z test_make_fx_symbolic_exhaustive_inplace_reshape_as_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4414477Z test_make_fx_symbolic_exhaustive_inplace_reshape_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4414704Z test_make_fx_symbolic_exhaustive_inplace_resize__cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.037s) 2022-11-23T01:28:19.4414912Z test_make_fx_symbolic_exhaustive_inplace_resize_as__cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.050s) 2022-11-23T01:28:19.4415134Z test_make_fx_symbolic_exhaustive_inplace_resolve_conj_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4415343Z test_make_fx_symbolic_exhaustive_inplace_resolve_neg_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4415592Z test_make_fx_symbolic_exhaustive_inplace_roll_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4415804Z test_make_fx_symbolic_exhaustive_inplace_rot90_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4416003Z test_make_fx_symbolic_exhaustive_inplace_round_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.030s) 2022-11-23T01:28:19.4416213Z test_make_fx_symbolic_exhaustive_inplace_round_decimals_0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.022s) 2022-11-23T01:28:19.4416416Z test_make_fx_symbolic_exhaustive_inplace_round_decimals_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.022s) 2022-11-23T01:28:19.4416630Z test_make_fx_symbolic_exhaustive_inplace_round_decimals_neg_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.022s) 2022-11-23T01:28:19.4416816Z test_make_fx_symbolic_exhaustive_inplace_rsqrt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.044s) 2022-11-23T01:28:19.4417035Z test_make_fx_symbolic_exhaustive_inplace_rsub_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4417263Z test_make_fx_symbolic_exhaustive_inplace_scalar_tensor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4417453Z test_make_fx_symbolic_exhaustive_inplace_scatter_add_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.788s) 2022-11-23T01:28:19.4417628Z test_make_fx_symbolic_exhaustive_inplace_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.998s) 2022-11-23T01:28:19.4417828Z test_make_fx_symbolic_exhaustive_inplace_scatter_reduce_amax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.957s) 2022-11-23T01:28:19.4418027Z test_make_fx_symbolic_exhaustive_inplace_scatter_reduce_amin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.954s) 2022-11-23T01:28:19.4418226Z test_make_fx_symbolic_exhaustive_inplace_scatter_reduce_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.971s) 2022-11-23T01:28:19.4418422Z test_make_fx_symbolic_exhaustive_inplace_scatter_reduce_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.969s) 2022-11-23T01:28:19.4418624Z test_make_fx_symbolic_exhaustive_inplace_scatter_reduce_sum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.976s) 2022-11-23T01:28:19.4419035Z test_make_fx_symbolic_exhaustive_inplace_searchsorted_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4419274Z test_make_fx_symbolic_exhaustive_inplace_segment_reduce_lengths_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4419506Z test_make_fx_symbolic_exhaustive_inplace_segment_reduce_offsets_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4419729Z test_make_fx_symbolic_exhaustive_inplace_select_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4419996Z test_make_fx_symbolic_exhaustive_inplace_select_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4420184Z test_make_fx_symbolic_exhaustive_inplace_sgn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s) 2022-11-23T01:28:19.4420399Z test_make_fx_symbolic_exhaustive_inplace_short_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4420584Z test_make_fx_symbolic_exhaustive_inplace_sigmoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.067s) 2022-11-23T01:28:19.4420767Z test_make_fx_symbolic_exhaustive_inplace_sign_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s) 2022-11-23T01:28:19.4421039Z test_make_fx_symbolic_exhaustive_inplace_signal_windows_cosine_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4421281Z test_make_fx_symbolic_exhaustive_inplace_signal_windows_exponential_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4421516Z test_make_fx_symbolic_exhaustive_inplace_signal_windows_gaussian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4421746Z test_make_fx_symbolic_exhaustive_inplace_signal_windows_kaiser_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4421965Z test_make_fx_symbolic_exhaustive_inplace_signbit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4422149Z test_make_fx_symbolic_exhaustive_inplace_sin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s) 2022-11-23T01:28:19.4422326Z test_make_fx_symbolic_exhaustive_inplace_sinc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.068s) 2022-11-23T01:28:19.4422508Z test_make_fx_symbolic_exhaustive_inplace_sinh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.029s) 2022-11-23T01:28:19.4422728Z test_make_fx_symbolic_exhaustive_inplace_slice_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4422958Z test_make_fx_symbolic_exhaustive_inplace_slice_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4423179Z test_make_fx_symbolic_exhaustive_inplace_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4423410Z test_make_fx_symbolic_exhaustive_inplace_softmax_with_dtype_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4423629Z test_make_fx_symbolic_exhaustive_inplace_sort_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4423866Z test_make_fx_symbolic_exhaustive_inplace_sparse_sampled_addmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4424096Z test_make_fx_symbolic_exhaustive_inplace_special_airy_ai_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4424326Z test_make_fx_symbolic_exhaustive_inplace_special_bessel_j0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4424553Z test_make_fx_symbolic_exhaustive_inplace_special_bessel_j1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4424772Z test_make_fx_symbolic_exhaustive_inplace_special_bessel_y0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4424997Z test_make_fx_symbolic_exhaustive_inplace_special_bessel_y1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4425272Z test_make_fx_symbolic_exhaustive_inplace_special_chebyshev_polynomial_t_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4425518Z test_make_fx_symbolic_exhaustive_inplace_special_chebyshev_polynomial_u_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4425956Z test_make_fx_symbolic_exhaustive_inplace_special_chebyshev_polynomial_v_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:28:19.4426406Z test_make_fx_symbolic_exhaustive_inplace_special_chebyshev_polynomial_w_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:28:19.4426632Z test_make_fx_symbolic_exhaustive_inplace_special_entr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4426864Z test_make_fx_symbolic_exhaustive_inplace_special_erfcx_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4427107Z test_make_fx_symbolic_exhaustive_inplace_special_hermite_polynomial_h_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4427350Z test_make_fx_symbolic_exhaustive_inplace_special_hermite_polynomial_he_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4427575Z test_make_fx_symbolic_exhaustive_inplace_special_i0e_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4427863Z test_make_fx_symbolic_exhaustive_inplace_special_i1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4428098Z test_make_fx_symbolic_exhaustive_inplace_special_i1e_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4428331Z test_make_fx_symbolic_exhaustive_inplace_special_laguerre_polynomial_l_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4428739Z test_make_fx_symbolic_exhaustive_inplace_special_legendre_polynomial_p_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:28:19.4428974Z test_make_fx_symbolic_exhaustive_inplace_special_log_ndtr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4429216Z test_make_fx_symbolic_exhaustive_inplace_special_modified_bessel_i0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4429456Z test_make_fx_symbolic_exhaustive_inplace_special_modified_bessel_i1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4429697Z test_make_fx_symbolic_exhaustive_inplace_special_modified_bessel_k0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4429929Z test_make_fx_symbolic_exhaustive_inplace_special_modified_bessel_k1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4430157Z test_make_fx_symbolic_exhaustive_inplace_special_ndtr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4430386Z test_make_fx_symbolic_exhaustive_inplace_special_ndtri_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4430676Z test_make_fx_symbolic_exhaustive_inplace_special_polygamma_special_polygamma_n_0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4430926Z test_make_fx_symbolic_exhaustive_inplace_special_scaled_modified_bessel_k0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4431170Z test_make_fx_symbolic_exhaustive_inplace_special_scaled_modified_bessel_k1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4431592Z test_make_fx_symbolic_exhaustive_inplace_special_shifted_chebyshev_polynomial_t_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:28:19.4432028Z test_make_fx_symbolic_exhaustive_inplace_special_shifted_chebyshev_polynomial_u_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:28:19.4432446Z test_make_fx_symbolic_exhaustive_inplace_special_shifted_chebyshev_polynomial_v_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:28:19.4432861Z test_make_fx_symbolic_exhaustive_inplace_special_shifted_chebyshev_polynomial_w_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:28:19.4433099Z test_make_fx_symbolic_exhaustive_inplace_special_spherical_bessel_j0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4433328Z test_make_fx_symbolic_exhaustive_inplace_special_xlog1py_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4433554Z test_make_fx_symbolic_exhaustive_inplace_special_zeta_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4433773Z test_make_fx_symbolic_exhaustive_inplace_split_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4433998Z test_make_fx_symbolic_exhaustive_inplace_split_list_args_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4434226Z test_make_fx_symbolic_exhaustive_inplace_split_with_sizes_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4434410Z test_make_fx_symbolic_exhaustive_inplace_sqrt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s) 2022-11-23T01:28:19.4434599Z test_make_fx_symbolic_exhaustive_inplace_square_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s) 2022-11-23T01:28:19.4434785Z test_make_fx_symbolic_exhaustive_inplace_squeeze_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.256s) 2022-11-23T01:28:19.4434996Z test_make_fx_symbolic_exhaustive_inplace_stack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4435212Z test_make_fx_symbolic_exhaustive_inplace_std_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4435431Z test_make_fx_symbolic_exhaustive_inplace_std_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4435652Z test_make_fx_symbolic_exhaustive_inplace_stft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4435834Z test_make_fx_symbolic_exhaustive_inplace_sub_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.239s) 2022-11-23T01:28:19.4436054Z test_make_fx_symbolic_exhaustive_inplace_sum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4436304Z test_make_fx_symbolic_exhaustive_inplace_sum_to_size_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4436518Z test_make_fx_symbolic_exhaustive_inplace_svd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4436739Z test_make_fx_symbolic_exhaustive_inplace_svd_lowrank_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4436958Z test_make_fx_symbolic_exhaustive_inplace_symeig_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4437194Z test_make_fx_symbolic_exhaustive_inplace_t_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.025s) 2022-11-23T01:28:19.4437410Z test_make_fx_symbolic_exhaustive_inplace_take_along_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4437630Z test_make_fx_symbolic_exhaustive_inplace_take_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4437813Z test_make_fx_symbolic_exhaustive_inplace_tan_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s) 2022-11-23T01:28:19.4437995Z test_make_fx_symbolic_exhaustive_inplace_tanh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s) 2022-11-23T01:28:19.4438221Z test_make_fx_symbolic_exhaustive_inplace_tensor_split_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4438443Z test_make_fx_symbolic_exhaustive_inplace_tensordot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4438659Z test_make_fx_symbolic_exhaustive_inplace_tile_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4438874Z test_make_fx_symbolic_exhaustive_inplace_to_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4439077Z test_make_fx_symbolic_exhaustive_inplace_to_sparse_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.4439291Z test_make_fx_symbolic_exhaustive_inplace_topk_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4439497Z test_make_fx_symbolic_exhaustive_inplace_trace_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4439701Z test_make_fx_symbolic_exhaustive_inplace_transpose_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.037s) 2022-11-23T01:28:19.4439925Z test_make_fx_symbolic_exhaustive_inplace_trapezoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4440140Z test_make_fx_symbolic_exhaustive_inplace_trapz_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4440366Z test_make_fx_symbolic_exhaustive_inplace_triangular_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4440549Z test_make_fx_symbolic_exhaustive_inplace_tril_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.544s) 2022-11-23T01:28:19.4440729Z test_make_fx_symbolic_exhaustive_inplace_triu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.534s) 2022-11-23T01:28:19.4440919Z test_make_fx_symbolic_exhaustive_inplace_true_divide_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.170s) 2022-11-23T01:28:19.4441106Z test_make_fx_symbolic_exhaustive_inplace_trunc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s) 2022-11-23T01:28:19.4441323Z test_make_fx_symbolic_exhaustive_inplace_unbind_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4441572Z test_make_fx_symbolic_exhaustive_inplace_unflatten_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4441782Z test_make_fx_symbolic_exhaustive_inplace_unfold_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4442002Z test_make_fx_symbolic_exhaustive_inplace_unfold_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4442204Z test_make_fx_symbolic_exhaustive_inplace_uniform_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.022s) 2022-11-23T01:28:19.4442466Z test_make_fx_symbolic_exhaustive_inplace_unique_consecutive_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4442685Z test_make_fx_symbolic_exhaustive_inplace_unique_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4442874Z test_make_fx_symbolic_exhaustive_inplace_unsqueeze_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.246s) 2022-11-23T01:28:19.4443088Z test_make_fx_symbolic_exhaustive_inplace_var_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4443308Z test_make_fx_symbolic_exhaustive_inplace_var_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4443523Z test_make_fx_symbolic_exhaustive_inplace_vdot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4443752Z test_make_fx_symbolic_exhaustive_inplace_view_as_complex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4443972Z test_make_fx_symbolic_exhaustive_inplace_view_as_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4444181Z test_make_fx_symbolic_exhaustive_inplace_view_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4444397Z test_make_fx_symbolic_exhaustive_inplace_view_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4444616Z test_make_fx_symbolic_exhaustive_inplace_vsplit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4444832Z test_make_fx_symbolic_exhaustive_inplace_vstack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4445051Z test_make_fx_symbolic_exhaustive_inplace_where_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4445238Z test_make_fx_symbolic_exhaustive_inplace_xlogy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.300s) 2022-11-23T01:28:19.4445423Z test_make_fx_symbolic_exhaustive_inplace_zero__cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.059s) 2022-11-23T01:28:19.4445641Z test_make_fx_symbolic_exhaustive_inplace_zeros_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4445863Z test_make_fx_symbolic_exhaustive_inplace_zeros_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: No inplace variable for this op (0.001s) 2022-11-23T01:28:19.4446038Z test_make_fx_symbolic_exhaustive_int_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.137s) 2022-11-23T01:28:19.4446221Z test_make_fx_symbolic_exhaustive_isclose_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.077s) 2022-11-23T01:28:19.4446401Z test_make_fx_symbolic_exhaustive_isfinite_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.072s) 2022-11-23T01:28:19.4446617Z test_make_fx_symbolic_exhaustive_isin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.026s) 2022-11-23T01:28:19.4446794Z test_make_fx_symbolic_exhaustive_isinf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.038s) 2022-11-23T01:28:19.4446970Z test_make_fx_symbolic_exhaustive_isnan_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.024s) 2022-11-23T01:28:19.4447149Z test_make_fx_symbolic_exhaustive_isneginf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.025s) 2022-11-23T01:28:19.4447326Z test_make_fx_symbolic_exhaustive_isposinf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.024s) 2022-11-23T01:28:19.4447530Z test_make_fx_symbolic_exhaustive_isreal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.034s) 2022-11-23T01:28:19.4447745Z test_make_fx_symbolic_exhaustive_jiterator_2inputs_2outputs_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:28:19.4447970Z test_make_fx_symbolic_exhaustive_jiterator_4inputs_with_extra_args_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:28:19.4448166Z test_make_fx_symbolic_exhaustive_jiterator_binary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:28:19.4448384Z test_make_fx_symbolic_exhaustive_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:28:19.4448589Z test_make_fx_symbolic_exhaustive_jiterator_unary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:28:19.4448787Z test_make_fx_symbolic_exhaustive_kron_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.033s) 2022-11-23T01:28:19.4448982Z test_make_fx_symbolic_exhaustive_kthvalue_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.020s) 2022-11-23T01:28:19.4449160Z test_make_fx_symbolic_exhaustive_ldexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.395s) 2022-11-23T01:28:19.4449332Z test_make_fx_symbolic_exhaustive_le_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.339s) 2022-11-23T01:28:19.4449506Z test_make_fx_symbolic_exhaustive_lerp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.931s) 2022-11-23T01:28:19.4449684Z test_make_fx_symbolic_exhaustive_lgamma_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s) 2022-11-23T01:28:19.4449859Z test_make_fx_symbolic_exhaustive_linalg_cholesky_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.437s) 2022-11-23T01:28:19.4450047Z test_make_fx_symbolic_exhaustive_linalg_cholesky_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.414s) 2022-11-23T01:28:19.4450244Z test_make_fx_symbolic_exhaustive_linalg_cond_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.022s) 2022-11-23T01:28:19.4450441Z test_make_fx_symbolic_exhaustive_linalg_cross_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.040s) 2022-11-23T01:28:19.4450636Z test_make_fx_symbolic_exhaustive_linalg_det_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.017s) 2022-11-23T01:28:19.4450842Z test_make_fx_symbolic_exhaustive_linalg_det_singular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.026s) 2022-11-23T01:28:19.4451034Z test_make_fx_symbolic_exhaustive_linalg_eig_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.018s) 2022-11-23T01:28:19.4451235Z test_make_fx_symbolic_exhaustive_linalg_eigh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.025s) 2022-11-23T01:28:19.4451437Z test_make_fx_symbolic_exhaustive_linalg_eigvals_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.020s) 2022-11-23T01:28:19.4451637Z test_make_fx_symbolic_exhaustive_linalg_eigvalsh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.027s) 2022-11-23T01:28:19.4451869Z test_make_fx_symbolic_exhaustive_linalg_householder_product_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.024s) 2022-11-23T01:28:19.4452063Z test_make_fx_symbolic_exhaustive_linalg_inv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.025s) 2022-11-23T01:28:19.4452258Z test_make_fx_symbolic_exhaustive_linalg_inv_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.025s) 2022-11-23T01:28:19.4452459Z test_make_fx_symbolic_exhaustive_linalg_ldl_factor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.025s) 2022-11-23T01:28:19.4452663Z test_make_fx_symbolic_exhaustive_linalg_ldl_factor_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.024s) 2022-11-23T01:28:19.4452893Z test_make_fx_symbolic_exhaustive_linalg_ldl_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.049s) 2022-11-23T01:28:19.4453089Z test_make_fx_symbolic_exhaustive_linalg_lstsq_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.4453300Z test_make_fx_symbolic_exhaustive_linalg_lstsq_grad_oriented_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.4453493Z test_make_fx_symbolic_exhaustive_linalg_lu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.026s) 2022-11-23T01:28:19.4453693Z test_make_fx_symbolic_exhaustive_linalg_lu_factor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.027s) 2022-11-23T01:28:19.4453883Z test_make_fx_symbolic_exhaustive_linalg_lu_factor_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.026s) 2022-11-23T01:28:19.4454087Z test_make_fx_symbolic_exhaustive_linalg_lu_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.051s) 2022-11-23T01:28:19.4454289Z test_make_fx_symbolic_exhaustive_linalg_matrix_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.127s) 2022-11-23T01:28:19.4454494Z test_make_fx_symbolic_exhaustive_linalg_matrix_power_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.013s) 2022-11-23T01:28:19.4454692Z test_make_fx_symbolic_exhaustive_linalg_matrix_rank_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.020s) 2022-11-23T01:28:19.4454905Z test_make_fx_symbolic_exhaustive_linalg_matrix_rank_hermitian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.020s) 2022-11-23T01:28:19.4455104Z test_make_fx_symbolic_exhaustive_linalg_multi_dot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.024s) 2022-11-23T01:28:19.4455300Z test_make_fx_symbolic_exhaustive_linalg_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.665s) 2022-11-23T01:28:19.4455517Z test_make_fx_symbolic_exhaustive_linalg_norm_subgradients_at_zero_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (1.111s) 2022-11-23T01:28:19.4455711Z test_make_fx_symbolic_exhaustive_linalg_pinv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.024s) 2022-11-23T01:28:19.4455918Z test_make_fx_symbolic_exhaustive_linalg_pinv_hermitian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.024s) 2022-11-23T01:28:19.4456163Z test_make_fx_symbolic_exhaustive_linalg_pinv_singular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:28:19.4456355Z test_make_fx_symbolic_exhaustive_linalg_qr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.025s) 2022-11-23T01:28:19.4456555Z test_make_fx_symbolic_exhaustive_linalg_slogdet_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.016s) 2022-11-23T01:28:19.4456751Z test_make_fx_symbolic_exhaustive_linalg_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.032s) 2022-11-23T01:28:19.4456980Z test_make_fx_symbolic_exhaustive_linalg_solve_ex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.031s) 2022-11-23T01:28:19.4457192Z test_make_fx_symbolic_exhaustive_linalg_solve_triangular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.026s) 2022-11-23T01:28:19.4457387Z test_make_fx_symbolic_exhaustive_linalg_svd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.015s) 2022-11-23T01:28:19.4457588Z test_make_fx_symbolic_exhaustive_linalg_svdvals_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.024s) 2022-11-23T01:28:19.4457788Z test_make_fx_symbolic_exhaustive_linalg_tensorinv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.049s) 2022-11-23T01:28:19.4458032Z test_make_fx_symbolic_exhaustive_linalg_tensorsolve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.039s) 2022-11-23T01:28:19.4458220Z test_make_fx_symbolic_exhaustive_linalg_vander_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.011s) 2022-11-23T01:28:19.4458407Z test_make_fx_symbolic_exhaustive_linalg_vecdot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.980s) 2022-11-23T01:28:19.4458596Z test_make_fx_symbolic_exhaustive_linalg_vector_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.635s) 2022-11-23T01:28:19.4458915Z test_make_fx_symbolic_exhaustive_linspace_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.264s) 2022-11-23T01:28:19.4459137Z test_make_fx_symbolic_exhaustive_log10_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.037s) 2022-11-23T01:28:19.4459315Z test_make_fx_symbolic_exhaustive_log1p_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.024s) 2022-11-23T01:28:19.4459493Z test_make_fx_symbolic_exhaustive_log2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.035s) 2022-11-23T01:28:19.4459666Z test_make_fx_symbolic_exhaustive_log_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.035s) 2022-11-23T01:28:19.4459849Z test_make_fx_symbolic_exhaustive_log_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.272s) 2022-11-23T01:28:19.4460029Z test_make_fx_symbolic_exhaustive_log_softmax_with_dtype_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.322s) 2022-11-23T01:28:19.4460227Z test_make_fx_symbolic_exhaustive_logaddexp2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.036s) 2022-11-23T01:28:19.4460426Z test_make_fx_symbolic_exhaustive_logaddexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.046s) 2022-11-23T01:28:19.4460627Z test_make_fx_symbolic_exhaustive_logcumsumexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.023s) 2022-11-23T01:28:19.4460822Z test_make_fx_symbolic_exhaustive_logdet_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.012s) 2022-11-23T01:28:19.4461005Z test_make_fx_symbolic_exhaustive_logical_and_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.436s) 2022-11-23T01:28:19.4461190Z test_make_fx_symbolic_exhaustive_logical_not_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.039s) 2022-11-23T01:28:19.4461373Z test_make_fx_symbolic_exhaustive_logical_or_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.429s) 2022-11-23T01:28:19.4461549Z test_make_fx_symbolic_exhaustive_logical_xor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.430s) 2022-11-23T01:28:19.4461729Z test_make_fx_symbolic_exhaustive_logit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.211s) 2022-11-23T01:28:19.4461897Z test_make_fx_symbolic_exhaustive_logspace_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.595s) 2022-11-23T01:28:19.4462079Z test_make_fx_symbolic_exhaustive_logsumexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.599s) 2022-11-23T01:28:19.4462254Z test_make_fx_symbolic_exhaustive_long_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.138s) 2022-11-23T01:28:19.4462424Z test_make_fx_symbolic_exhaustive_lt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.342s) 2022-11-23T01:28:19.4462672Z test_make_fx_symbolic_exhaustive_lu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.026s) 2022-11-23T01:28:19.4462865Z test_make_fx_symbolic_exhaustive_lu_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.051s) 2022-11-23T01:28:19.4463058Z test_make_fx_symbolic_exhaustive_lu_unpack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.040s) 2022-11-23T01:28:19.4463231Z test_make_fx_symbolic_exhaustive_mH_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.211s) 2022-11-23T01:28:19.4463399Z test_make_fx_symbolic_exhaustive_mT_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.203s) 2022-11-23T01:28:19.4463604Z test_make_fx_symbolic_exhaustive_masked_amax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (5.773s) 2022-11-23T01:28:19.4463784Z test_make_fx_symbolic_exhaustive_masked_amin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (6.446s) 2022-11-23T01:28:19.4463972Z test_make_fx_symbolic_exhaustive_masked_argmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (3.610s) 2022-11-23T01:28:19.4464160Z test_make_fx_symbolic_exhaustive_masked_argmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (3.616s) 2022-11-23T01:28:19.4464363Z test_make_fx_symbolic_exhaustive_masked_cumprod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.032s) 2022-11-23T01:28:19.4464546Z test_make_fx_symbolic_exhaustive_masked_cumsum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.100s) 2022-11-23T01:28:19.4464745Z test_make_fx_symbolic_exhaustive_masked_fill_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.073s) 2022-11-23T01:28:19.4464940Z test_make_fx_symbolic_exhaustive_masked_log_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.331s) 2022-11-23T01:28:19.4465145Z test_make_fx_symbolic_exhaustive_masked_logaddexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.027s) 2022-11-23T01:28:19.4465350Z test_make_fx_symbolic_exhaustive_masked_logsumexp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.4465520Z test_make_fx_symbolic_exhaustive_masked_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (8.750s) 2022-11-23T01:28:19.4465704Z test_make_fx_symbolic_exhaustive_masked_median_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.902s) 2022-11-23T01:28:19.4465885Z test_make_fx_symbolic_exhaustive_masked_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (7.677s) 2022-11-23T01:28:19.4466075Z test_make_fx_symbolic_exhaustive_masked_normalize_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.296s) 2022-11-23T01:28:19.4466258Z test_make_fx_symbolic_exhaustive_masked_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (6.175s) 2022-11-23T01:28:19.4466459Z test_make_fx_symbolic_exhaustive_masked_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.046s) 2022-11-23T01:28:19.4466692Z test_make_fx_symbolic_exhaustive_masked_select_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.028s) 2022-11-23T01:28:19.4466879Z test_make_fx_symbolic_exhaustive_masked_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.297s) 2022-11-23T01:28:19.4467065Z test_make_fx_symbolic_exhaustive_masked_softmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.400s) 2022-11-23T01:28:19.4467229Z test_make_fx_symbolic_exhaustive_masked_std_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (14.544s) 2022-11-23T01:28:19.4467411Z test_make_fx_symbolic_exhaustive_masked_sum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (6.752s) 2022-11-23T01:28:19.4467593Z test_make_fx_symbolic_exhaustive_masked_var_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (14.184s) 2022-11-23T01:28:19.4467772Z test_make_fx_symbolic_exhaustive_matmul_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.123s) 2022-11-23T01:28:19.4468108Z test_make_fx_symbolic_exhaustive_matrix_exp_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.020s) 2022-11-23T01:28:19.4468296Z test_make_fx_symbolic_exhaustive_max_binary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.365s) 2022-11-23T01:28:19.4468517Z test_make_fx_symbolic_exhaustive_max_pool2d_with_indices_backward_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.977s) 2022-11-23T01:28:19.4468710Z test_make_fx_symbolic_exhaustive_max_reduction_no_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.033s) 2022-11-23T01:28:19.4468904Z test_make_fx_symbolic_exhaustive_max_reduction_with_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.099s) 2022-11-23T01:28:19.4469114Z test_make_fx_symbolic_exhaustive_maximum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.370s) 2022-11-23T01:28:19.4469277Z test_make_fx_symbolic_exhaustive_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.539s) 2022-11-23T01:28:19.4469471Z test_make_fx_symbolic_exhaustive_median_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.007s) 2022-11-23T01:28:19.4469684Z test_make_fx_symbolic_exhaustive_meshgrid_list_of_tensors_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.010s) 2022-11-23T01:28:19.4469896Z test_make_fx_symbolic_exhaustive_meshgrid_variadic_tensors_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.010s) 2022-11-23T01:28:19.4470078Z test_make_fx_symbolic_exhaustive_min_binary_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.353s) 2022-11-23T01:28:19.4470272Z test_make_fx_symbolic_exhaustive_min_reduction_no_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s) 2022-11-23T01:28:19.4470486Z test_make_fx_symbolic_exhaustive_min_reduction_with_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.030s) 2022-11-23T01:28:19.4470667Z test_make_fx_symbolic_exhaustive_minimum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.369s) 2022-11-23T01:28:19.4470840Z test_make_fx_symbolic_exhaustive_mm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s) 2022-11-23T01:28:19.4471018Z test_make_fx_symbolic_exhaustive_mode_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.024s) 2022-11-23T01:28:19.4471199Z test_make_fx_symbolic_exhaustive_movedim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.123s) 2022-11-23T01:28:19.4471377Z test_make_fx_symbolic_exhaustive_msort_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.079s) 2022-11-23T01:28:19.4471552Z test_make_fx_symbolic_exhaustive_mul_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.356s) 2022-11-23T01:28:19.4471755Z test_make_fx_symbolic_exhaustive_multinomial_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.013s) 2022-11-23T01:28:19.4471926Z test_make_fx_symbolic_exhaustive_mv_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.040s) 2022-11-23T01:28:19.4472120Z test_make_fx_symbolic_exhaustive_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.302s) 2022-11-23T01:28:19.4472310Z test_make_fx_symbolic_exhaustive_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.290s) 2022-11-23T01:28:19.4472503Z test_make_fx_symbolic_exhaustive_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.302s) 2022-11-23T01:28:19.4472680Z test_make_fx_symbolic_exhaustive_nan_to_num_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.145s) 2022-11-23T01:28:19.4472845Z test_make_fx_symbolic_exhaustive_nanmean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.224s) 2022-11-23T01:28:19.4473030Z test_make_fx_symbolic_exhaustive_nanmedian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.362s) 2022-11-23T01:28:19.4473231Z test_make_fx_symbolic_exhaustive_nanquantile_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.014s) 2022-11-23T01:28:19.4473437Z test_make_fx_symbolic_exhaustive_nansum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.712s) 2022-11-23T01:28:19.4473621Z test_make_fx_symbolic_exhaustive_narrow_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.249s) 2022-11-23T01:28:19.4473812Z test_make_fx_symbolic_exhaustive_narrow_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.093s) 2022-11-23T01:28:19.4473997Z test_make_fx_symbolic_exhaustive_native_batch_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.184s) 2022-11-23T01:28:19.4474193Z test_make_fx_symbolic_exhaustive_native_dropout_backward_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.458s) 2022-11-23T01:28:19.4474423Z test_make_fx_symbolic_exhaustive_native_layer_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.928s) 2022-11-23T01:28:19.4474582Z test_make_fx_symbolic_exhaustive_ne_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.381s) 2022-11-23T01:28:19.4474758Z test_make_fx_symbolic_exhaustive_neg_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.026s) 2022-11-23T01:28:19.4474951Z test_make_fx_symbolic_exhaustive_new_empty_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.4475190Z test_make_fx_symbolic_exhaustive_new_empty_strided_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:28:19.4475371Z test_make_fx_symbolic_exhaustive_new_full_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.095s) 2022-11-23T01:28:19.4475547Z test_make_fx_symbolic_exhaustive_new_ones_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.093s) 2022-11-23T01:28:19.4475728Z test_make_fx_symbolic_exhaustive_new_zeros_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.093s) 2022-11-23T01:28:19.4475909Z test_make_fx_symbolic_exhaustive_nextafter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.359s) 2022-11-23T01:28:19.4476140Z test_make_fx_symbolic_exhaustive_nn_functional__scaled_dot_product_attention_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.4476348Z test_make_fx_symbolic_exhaustive_nn_functional_adaptive_avg_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.248s) 2022-11-23T01:28:19.4476538Z test_make_fx_symbolic_exhaustive_nn_functional_adaptive_avg_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.427s) 2022-11-23T01:28:19.4476733Z test_make_fx_symbolic_exhaustive_nn_functional_adaptive_avg_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.647s) 2022-11-23T01:28:19.4476953Z test_make_fx_symbolic_exhaustive_nn_functional_adaptive_max_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.045s) 2022-11-23T01:28:19.4477174Z test_make_fx_symbolic_exhaustive_nn_functional_adaptive_max_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.039s) 2022-11-23T01:28:19.4477390Z test_make_fx_symbolic_exhaustive_nn_functional_adaptive_max_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.052s) 2022-11-23T01:28:19.4477590Z test_make_fx_symbolic_exhaustive_nn_functional_alpha_dropout_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.322s) 2022-11-23T01:28:19.4477786Z test_make_fx_symbolic_exhaustive_nn_functional_avg_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.024s) 2022-11-23T01:28:19.4477981Z test_make_fx_symbolic_exhaustive_nn_functional_avg_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.139s) 2022-11-23T01:28:19.4478194Z test_make_fx_symbolic_exhaustive_nn_functional_avg_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.079s) 2022-11-23T01:28:19.4478407Z test_make_fx_symbolic_exhaustive_nn_functional_batch_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.4478634Z test_make_fx_symbolic_exhaustive_nn_functional_bilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.053s) 2022-11-23T01:28:19.4478855Z test_make_fx_symbolic_exhaustive_nn_functional_binary_cross_entropy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.521s) 2022-11-23T01:28:19.4479069Z test_make_fx_symbolic_exhaustive_nn_functional_binary_cross_entropy_with_logits_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.887s) 2022-11-23T01:28:19.4479256Z test_make_fx_symbolic_exhaustive_nn_functional_celu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.057s) 2022-11-23T01:28:19.4479444Z test_make_fx_symbolic_exhaustive_nn_functional_conv1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.936s) 2022-11-23T01:28:19.4479664Z test_make_fx_symbolic_exhaustive_nn_functional_conv2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (11.238s) 2022-11-23T01:28:19.4479880Z test_make_fx_symbolic_exhaustive_nn_functional_conv_transpose1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.701s) 2022-11-23T01:28:19.4480164Z test_make_fx_symbolic_exhaustive_nn_functional_conv_transpose2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.419s) 2022-11-23T01:28:19.4480369Z test_make_fx_symbolic_exhaustive_nn_functional_conv_transpose3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (3.730s) 2022-11-23T01:28:19.4480575Z test_make_fx_symbolic_exhaustive_nn_functional_cosine_embedding_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.627s) 2022-11-23T01:28:19.4480791Z test_make_fx_symbolic_exhaustive_nn_functional_cosine_similarity_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.034s) 2022-11-23T01:28:19.4480996Z test_make_fx_symbolic_exhaustive_nn_functional_cross_entropy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.115s) 2022-11-23T01:28:19.4481233Z test_make_fx_symbolic_exhaustive_nn_functional_ctc_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.054s) 2022-11-23T01:28:19.4482272Z test_make_fx_symbolic_exhaustive_nn_functional_dropout2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead. 2022-11-23T01:28:19.4482518Z warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise " 2022-11-23T01:28:19.4483353Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead. 2022-11-23T01:28:19.4483594Z warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise " 2022-11-23T01:28:19.4484414Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead. 2022-11-23T01:28:19.4484657Z warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise " 2022-11-23T01:28:19.4485509Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead. 2022-11-23T01:28:19.4485748Z warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise " 2022-11-23T01:28:19.4486558Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead. 2022-11-23T01:28:19.4486867Z warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise " 2022-11-23T01:28:19.4487675Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1338: UserWarning: dropout2d: Received a 3D input to dropout2d and assuming that channel-wise 1D dropout behavior is desired - input is interpreted as shape (N, C, L), where C is the channel dim. This behavior will change in a future release to interpret the input as one without a batch dimension, i.e. shape (C, H, W). To maintain the 1D channel-wise dropout behavior, please switch to using dropout1d instead. 2022-11-23T01:28:19.4487913Z warnings.warn("dropout2d: Received a 3D input to dropout2d and assuming that channel-wise " 2022-11-23T01:28:19.4487980Z ok (0.552s) 2022-11-23T01:28:19.4488181Z test_make_fx_symbolic_exhaustive_nn_functional_dropout3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.855s) 2022-11-23T01:28:19.4488379Z test_make_fx_symbolic_exhaustive_nn_functional_dropout_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.306s) 2022-11-23T01:28:19.4488570Z test_make_fx_symbolic_exhaustive_nn_functional_elu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.076s) 2022-11-23T01:28:19.4488786Z test_make_fx_symbolic_exhaustive_nn_functional_embedding_bag_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.499s) 2022-11-23T01:28:19.4488984Z test_make_fx_symbolic_exhaustive_nn_functional_embedding_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.180s) 2022-11-23T01:28:19.4489208Z test_make_fx_symbolic_exhaustive_nn_functional_feature_alpha_dropout_with_train_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.457s) 2022-11-23T01:28:19.4489430Z test_make_fx_symbolic_exhaustive_nn_functional_feature_alpha_dropout_without_train_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.123s) 2022-11-23T01:28:19.4489655Z test_make_fx_symbolic_exhaustive_nn_functional_fractional_max_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.046s) 2022-11-23T01:28:19.4489871Z test_make_fx_symbolic_exhaustive_nn_functional_fractional_max_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.076s) 2022-11-23T01:28:19.4490086Z test_make_fx_symbolic_exhaustive_nn_functional_gaussian_nll_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.036s) 2022-11-23T01:28:19.4490277Z test_make_fx_symbolic_exhaustive_nn_functional_gelu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.436s) 2022-11-23T01:28:19.4490468Z test_make_fx_symbolic_exhaustive_nn_functional_glu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (8.477s) 2022-11-23T01:28:19.4490688Z test_make_fx_symbolic_exhaustive_nn_functional_grid_sample_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (45.890s) 2022-11-23T01:28:19.4490908Z test_make_fx_symbolic_exhaustive_nn_functional_group_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (3.021s) 2022-11-23T01:28:19.4491094Z test_make_fx_symbolic_exhaustive_nn_functional_hardshrink_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.201s) 2022-11-23T01:28:19.4491292Z test_make_fx_symbolic_exhaustive_nn_functional_hardsigmoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.101s) 2022-11-23T01:28:19.4491486Z test_make_fx_symbolic_exhaustive_nn_functional_hardswish_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.293s) 2022-11-23T01:28:19.4491678Z test_make_fx_symbolic_exhaustive_nn_functional_hardtanh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.275s) 2022-11-23T01:28:19.4491916Z test_make_fx_symbolic_exhaustive_nn_functional_hinge_embedding_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.029s) 2022-11-23T01:28:19.4492110Z test_make_fx_symbolic_exhaustive_nn_functional_huber_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.643s) 2022-11-23T01:28:19.4492307Z test_make_fx_symbolic_exhaustive_nn_functional_instance_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.131s) 2022-11-23T01:28:19.4492526Z test_make_fx_symbolic_exhaustive_nn_functional_interpolate_area_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.143s) 2022-11-23T01:28:19.4492749Z test_make_fx_symbolic_exhaustive_nn_functional_interpolate_bicubic_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.053s) 2022-11-23T01:28:19.4492957Z test_make_fx_symbolic_exhaustive_nn_functional_interpolate_bilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (6.596s) 2022-11-23T01:28:19.4493179Z test_make_fx_symbolic_exhaustive_nn_functional_interpolate_linear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.034s) 2022-11-23T01:28:19.4493390Z test_make_fx_symbolic_exhaustive_nn_functional_interpolate_nearest_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.030s) 2022-11-23T01:28:19.4493612Z test_make_fx_symbolic_exhaustive_nn_functional_interpolate_trilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.056s) 2022-11-23T01:28:19.4494393Z test_make_fx_symbolic_exhaustive_nn_functional_kl_div_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2921: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-11-23T01:28:19.4494618Z "reduction: 'mean' divides the total loss by both the batch size and the support size." 2022-11-23T01:28:19.4495221Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2921: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-11-23T01:28:19.4495444Z "reduction: 'mean' divides the total loss by both the batch size and the support size." 2022-11-23T01:28:19.4496030Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2921: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-11-23T01:28:19.4496249Z "reduction: 'mean' divides the total loss by both the batch size and the support size." 2022-11-23T01:28:19.4496850Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2921: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-11-23T01:28:19.4497099Z "reduction: 'mean' divides the total loss by both the batch size and the support size." 2022-11-23T01:28:19.4497167Z ok (0.912s) 2022-11-23T01:28:19.4497361Z test_make_fx_symbolic_exhaustive_nn_functional_l1_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.223s) 2022-11-23T01:28:19.4497555Z test_make_fx_symbolic_exhaustive_nn_functional_layer_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.341s) 2022-11-23T01:28:19.4497738Z test_make_fx_symbolic_exhaustive_nn_functional_leaky_relu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.326s) 2022-11-23T01:28:19.4497928Z test_make_fx_symbolic_exhaustive_nn_functional_linear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.008s) 2022-11-23T01:28:19.4498159Z test_make_fx_symbolic_exhaustive_nn_functional_local_response_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.287s) 2022-11-23T01:28:19.4498356Z test_make_fx_symbolic_exhaustive_nn_functional_logsigmoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.085s) 2022-11-23T01:28:19.4498559Z test_make_fx_symbolic_exhaustive_nn_functional_margin_ranking_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.784s) 2022-11-23T01:28:19.4498882Z test_make_fx_symbolic_exhaustive_nn_functional_max_pool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.242s) 2022-11-23T01:28:19.4499079Z test_make_fx_symbolic_exhaustive_nn_functional_max_pool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (21.793s) 2022-11-23T01:28:19.4499287Z test_make_fx_symbolic_exhaustive_nn_functional_max_pool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.069s) 2022-11-23T01:28:19.4499501Z test_make_fx_symbolic_exhaustive_nn_functional_max_unpool1d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.4499719Z test_make_fx_symbolic_exhaustive_nn_functional_max_unpool1d_grad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.077s) 2022-11-23T01:28:19.4499914Z test_make_fx_symbolic_exhaustive_nn_functional_max_unpool2d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.4500132Z test_make_fx_symbolic_exhaustive_nn_functional_max_unpool2d_grad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.116s) 2022-11-23T01:28:19.4500334Z test_make_fx_symbolic_exhaustive_nn_functional_max_unpool3d_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.4500547Z test_make_fx_symbolic_exhaustive_nn_functional_max_unpool3d_grad_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.117s) 2022-11-23T01:28:19.4500739Z test_make_fx_symbolic_exhaustive_nn_functional_mish_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.263s) 2022-11-23T01:28:19.4500931Z test_make_fx_symbolic_exhaustive_nn_functional_mse_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.222s) 2022-11-23T01:28:19.4501148Z test_make_fx_symbolic_exhaustive_nn_functional_multi_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.011s) 2022-11-23T01:28:19.4501371Z test_make_fx_symbolic_exhaustive_nn_functional_multilabel_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.010s) 2022-11-23T01:28:19.4501584Z test_make_fx_symbolic_exhaustive_nn_functional_multilabel_soft_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.547s) 2022-11-23T01:28:19.4501789Z test_make_fx_symbolic_exhaustive_nn_functional_nll_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.4501984Z test_make_fx_symbolic_exhaustive_nn_functional_normalize_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.107s) 2022-11-23T01:28:19.4502171Z test_make_fx_symbolic_exhaustive_nn_functional_pad_circular_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.812s) 2022-11-23T01:28:19.4502412Z test_make_fx_symbolic_exhaustive_nn_functional_pad_constant_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (4.303s) 2022-11-23T01:28:19.4502626Z test_make_fx_symbolic_exhaustive_nn_functional_pad_reflect_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.027s) 2022-11-23T01:28:19.4502841Z test_make_fx_symbolic_exhaustive_nn_functional_pad_replicate_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.024s) 2022-11-23T01:28:19.4503044Z test_make_fx_symbolic_exhaustive_nn_functional_pairwise_distance_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.308s) 2022-11-23T01:28:19.4503251Z test_make_fx_symbolic_exhaustive_nn_functional_pdist_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.013s) 2022-11-23T01:28:19.4503508Z test_make_fx_symbolic_exhaustive_nn_functional_pixel_shuffle_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.042s) 2022-11-23T01:28:19.4503727Z test_make_fx_symbolic_exhaustive_nn_functional_pixel_unshuffle_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.041s) 2022-11-23T01:28:19.4503929Z test_make_fx_symbolic_exhaustive_nn_functional_poisson_nll_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (6.834s) 2022-11-23T01:28:19.4504119Z test_make_fx_symbolic_exhaustive_nn_functional_prelu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.863s) 2022-11-23T01:28:19.4504297Z test_make_fx_symbolic_exhaustive_nn_functional_relu6_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.106s) 2022-11-23T01:28:19.4504484Z test_make_fx_symbolic_exhaustive_nn_functional_relu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.109s) 2022-11-23T01:28:19.4504692Z test_make_fx_symbolic_exhaustive_nn_functional_rrelu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.020s) 2022-11-23T01:28:19.4504881Z test_make_fx_symbolic_exhaustive_nn_functional_selu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.077s) 2022-11-23T01:28:19.4505065Z test_make_fx_symbolic_exhaustive_nn_functional_silu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.068s) 2022-11-23T01:28:19.4505277Z test_make_fx_symbolic_exhaustive_nn_functional_smooth_l1_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.017s) 2022-11-23T01:28:19.4505477Z test_make_fx_symbolic_exhaustive_nn_functional_soft_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.222s) 2022-11-23T01:28:19.4505668Z test_make_fx_symbolic_exhaustive_nn_functional_softmin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.318s) 2022-11-23T01:28:19.4505872Z test_make_fx_symbolic_exhaustive_nn_functional_softmin_with_dtype_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.362s) 2022-11-23T01:28:19.4506067Z test_make_fx_symbolic_exhaustive_nn_functional_softplus_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.076s) 2022-11-23T01:28:19.4506249Z test_make_fx_symbolic_exhaustive_nn_functional_softshrink_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.239s) 2022-11-23T01:28:19.4506444Z test_make_fx_symbolic_exhaustive_nn_functional_softsign_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.067s) 2022-11-23T01:28:19.4506636Z test_make_fx_symbolic_exhaustive_nn_functional_tanhshrink_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.056s) 2022-11-23T01:28:19.4506827Z test_make_fx_symbolic_exhaustive_nn_functional_threshold_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.105s) 2022-11-23T01:28:19.4507030Z test_make_fx_symbolic_exhaustive_nn_functional_triplet_margin_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.928s) 2022-11-23T01:28:19.4507252Z test_make_fx_symbolic_exhaustive_nn_functional_triplet_margin_with_distance_loss_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.931s) 2022-11-23T01:28:19.4507444Z test_make_fx_symbolic_exhaustive_nn_functional_unfold_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (11.205s) 2022-11-23T01:28:19.4508119Z test_make_fx_symbolic_exhaustive_nn_functional_upsample_bilinear_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4074: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead. 2022-11-23T01:28:19.4508321Z warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.") 2022-11-23T01:28:19.4508699Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4074: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead. 2022-11-23T01:28:19.4508893Z warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.") 2022-11-23T01:28:19.4509280Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4074: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead. 2022-11-23T01:28:19.4509476Z warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.") 2022-11-23T01:28:19.4509845Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4074: UserWarning: nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead. 2022-11-23T01:28:19.4510038Z warnings.warn("nn.functional.upsample_bilinear is deprecated. Use nn.functional.interpolate instead.") 2022-11-23T01:28:19.4510106Z ok (2.579s) 2022-11-23T01:28:19.4510673Z test_make_fx_symbolic_exhaustive_nn_functional_upsample_nearest_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4018: UserWarning: nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead. 2022-11-23T01:28:19.4510869Z warnings.warn("nn.functional.upsample_nearest is deprecated. Use nn.functional.interpolate instead.") 2022-11-23T01:28:19.4510951Z expected failure (0.044s) 2022-11-23T01:28:19.4511176Z test_make_fx_symbolic_exhaustive_nonzero_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.011s) 2022-11-23T01:28:19.4511351Z test_make_fx_symbolic_exhaustive_norm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.454s) 2022-11-23T01:28:19.4511519Z test_make_fx_symbolic_exhaustive_norm_fro_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.093s) 2022-11-23T01:28:19.4511702Z test_make_fx_symbolic_exhaustive_norm_inf_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.119s) 2022-11-23T01:28:19.4511893Z test_make_fx_symbolic_exhaustive_norm_nuc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.036s) 2022-11-23T01:28:19.4512089Z test_make_fx_symbolic_exhaustive_normal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.019s) 2022-11-23T01:28:19.4512295Z test_make_fx_symbolic_exhaustive_normal_number_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.031s) 2022-11-23T01:28:19.4512470Z test_make_fx_symbolic_exhaustive_ones_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.018s) 2022-11-23T01:28:19.4512649Z test_make_fx_symbolic_exhaustive_ones_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.126s) 2022-11-23T01:28:19.4512838Z test_make_fx_symbolic_exhaustive_ormqr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.049s) 2022-11-23T01:28:19.4513029Z test_make_fx_symbolic_exhaustive_outer_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.029s) 2022-11-23T01:28:19.4513213Z test_make_fx_symbolic_exhaustive_pca_lowrank_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.039s) 2022-11-23T01:28:19.4513394Z test_make_fx_symbolic_exhaustive_permute_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.209s) 2022-11-23T01:28:19.4513590Z test_make_fx_symbolic_exhaustive_pinverse_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.034s) 2022-11-23T01:28:19.4513809Z test_make_fx_symbolic_exhaustive_polar_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.012s) 2022-11-23T01:28:19.4514021Z test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.030s) 2022-11-23T01:28:19.4514231Z test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.030s) 2022-11-23T01:28:19.4514440Z test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_2_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.031s) 2022-11-23T01:28:19.4514648Z test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.031s) 2022-11-23T01:28:19.4514894Z test_make_fx_symbolic_exhaustive_polygamma_polygamma_n_4_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.030s) 2022-11-23T01:28:19.4515075Z test_make_fx_symbolic_exhaustive_positive_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.022s) 2022-11-23T01:28:19.4515240Z test_make_fx_symbolic_exhaustive_pow_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.394s) 2022-11-23T01:28:19.4515415Z test_make_fx_symbolic_exhaustive_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.901s) 2022-11-23T01:28:19.4515588Z test_make_fx_symbolic_exhaustive_put_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.451s) 2022-11-23T01:28:19.4515774Z test_make_fx_symbolic_exhaustive_qr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.031s) 2022-11-23T01:28:19.4515968Z test_make_fx_symbolic_exhaustive_quantile_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.016s) 2022-11-23T01:28:19.4516150Z test_make_fx_symbolic_exhaustive_rad2deg_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.033s) 2022-11-23T01:28:19.4516329Z test_make_fx_symbolic_exhaustive_rand_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.136s) 2022-11-23T01:28:19.4516509Z test_make_fx_symbolic_exhaustive_randint_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.262s) 2022-11-23T01:28:19.4516691Z test_make_fx_symbolic_exhaustive_randint_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.253s) 2022-11-23T01:28:19.4516855Z test_make_fx_symbolic_exhaustive_randn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.017s) 2022-11-23T01:28:19.4517034Z test_make_fx_symbolic_exhaustive_randn_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.131s) 2022-11-23T01:28:19.4517210Z test_make_fx_symbolic_exhaustive_ravel_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.185s) 2022-11-23T01:28:19.4517384Z test_make_fx_symbolic_exhaustive_real_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.041s) 2022-11-23T01:28:19.4517571Z test_make_fx_symbolic_exhaustive_reciprocal_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.046s) 2022-11-23T01:28:19.4517752Z test_make_fx_symbolic_exhaustive_remainder_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.371s) 2022-11-23T01:28:19.4517948Z test_make_fx_symbolic_exhaustive_renorm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.033s) 2022-11-23T01:28:19.4518128Z test_make_fx_symbolic_exhaustive_repeat_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.620s) 2022-11-23T01:28:19.4518364Z test_make_fx_symbolic_exhaustive_repeat_interleave_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.015s) 2022-11-23T01:28:19.4518565Z test_make_fx_symbolic_exhaustive_reshape_as_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.042s) 2022-11-23T01:28:19.4518736Z test_make_fx_symbolic_exhaustive_reshape_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.726s) 2022-11-23T01:28:19.4518930Z test_make_fx_symbolic_exhaustive_resize__cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.055s) 2022-11-23T01:28:19.4519152Z test_make_fx_symbolic_exhaustive_resize_as__cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.056s) 2022-11-23T01:28:19.4519338Z test_make_fx_symbolic_exhaustive_resolve_conj_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.028s) 2022-11-23T01:28:19.4519518Z test_make_fx_symbolic_exhaustive_resolve_neg_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.028s) 2022-11-23T01:28:19.4519706Z test_make_fx_symbolic_exhaustive_roll_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.287s) 2022-11-23T01:28:19.4519879Z test_make_fx_symbolic_exhaustive_rot90_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.472s) 2022-11-23T01:28:19.4520056Z test_make_fx_symbolic_exhaustive_round_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.029s) 2022-11-23T01:28:19.4520270Z test_make_fx_symbolic_exhaustive_round_decimals_0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.044s) 2022-11-23T01:28:19.4520442Z test_make_fx_symbolic_exhaustive_round_decimals_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.044s) 2022-11-23T01:28:19.4520634Z test_make_fx_symbolic_exhaustive_round_decimals_neg_3_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.043s) 2022-11-23T01:28:19.4520806Z test_make_fx_symbolic_exhaustive_rsqrt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.045s) 2022-11-23T01:28:19.4520979Z test_make_fx_symbolic_exhaustive_rsub_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.470s) 2022-11-23T01:28:19.4521160Z test_make_fx_symbolic_exhaustive_scalar_tensor_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.024s) 2022-11-23T01:28:19.4521342Z test_make_fx_symbolic_exhaustive_scatter_add_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.314s) 2022-11-23T01:28:19.4521520Z test_make_fx_symbolic_exhaustive_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.287s) 2022-11-23T01:28:19.4521708Z test_make_fx_symbolic_exhaustive_scatter_reduce_amax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.937s) 2022-11-23T01:28:19.4521893Z test_make_fx_symbolic_exhaustive_scatter_reduce_amin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.930s) 2022-11-23T01:28:19.4522071Z test_make_fx_symbolic_exhaustive_scatter_reduce_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.983s) 2022-11-23T01:28:19.4522260Z test_make_fx_symbolic_exhaustive_scatter_reduce_prod_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.974s) 2022-11-23T01:28:19.4522449Z test_make_fx_symbolic_exhaustive_scatter_reduce_sum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.945s) 2022-11-23T01:28:19.4522649Z test_make_fx_symbolic_exhaustive_searchsorted_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.012s) 2022-11-23T01:28:19.4522861Z test_make_fx_symbolic_exhaustive_segment_reduce_lengths_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.023s) 2022-11-23T01:28:19.4523071Z test_make_fx_symbolic_exhaustive_segment_reduce_offsets_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.024s) 2022-11-23T01:28:19.4523249Z test_make_fx_symbolic_exhaustive_select_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.214s) 2022-11-23T01:28:19.4523434Z test_make_fx_symbolic_exhaustive_select_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.208s) 2022-11-23T01:28:19.4523609Z test_make_fx_symbolic_exhaustive_sgn_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.029s) 2022-11-23T01:28:19.4523784Z test_make_fx_symbolic_exhaustive_short_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.173s) 2022-11-23T01:28:19.4523952Z test_make_fx_symbolic_exhaustive_sigmoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.068s) 2022-11-23T01:28:19.4524126Z test_make_fx_symbolic_exhaustive_sign_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.027s) 2022-11-23T01:28:19.4524317Z test_make_fx_symbolic_exhaustive_signal_windows_cosine_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.121s) 2022-11-23T01:28:19.4524541Z test_make_fx_symbolic_exhaustive_signal_windows_exponential_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.140s) 2022-11-23T01:28:19.4524734Z test_make_fx_symbolic_exhaustive_signal_windows_gaussian_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.142s) 2022-11-23T01:28:19.4524926Z test_make_fx_symbolic_exhaustive_signal_windows_kaiser_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.182s) 2022-11-23T01:28:19.4525100Z test_make_fx_symbolic_exhaustive_signbit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.036s) 2022-11-23T01:28:19.4525273Z test_make_fx_symbolic_exhaustive_sin_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.032s) 2022-11-23T01:28:19.4525479Z test_make_fx_symbolic_exhaustive_sinc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.082s) 2022-11-23T01:28:19.4525641Z test_make_fx_symbolic_exhaustive_sinh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.029s) 2022-11-23T01:28:19.4525819Z test_make_fx_symbolic_exhaustive_slice_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.310s) 2022-11-23T01:28:19.4526003Z test_make_fx_symbolic_exhaustive_slice_scatter_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.491s) 2022-11-23T01:28:19.4526179Z test_make_fx_symbolic_exhaustive_softmax_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.321s) 2022-11-23T01:28:19.4526367Z test_make_fx_symbolic_exhaustive_softmax_with_dtype_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.354s) 2022-11-23T01:28:19.4526540Z test_make_fx_symbolic_exhaustive_sort_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.707s) 2022-11-23T01:28:19.4526747Z test_make_fx_symbolic_exhaustive_sparse_sampled_addmm_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.001s) 2022-11-23T01:28:19.4526952Z test_make_fx_symbolic_exhaustive_special_airy_ai_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.024s) 2022-11-23T01:28:19.4527144Z test_make_fx_symbolic_exhaustive_special_bessel_j0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.048s) 2022-11-23T01:28:19.4527329Z test_make_fx_symbolic_exhaustive_special_bessel_j1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.047s) 2022-11-23T01:28:19.4527521Z test_make_fx_symbolic_exhaustive_special_bessel_y0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.023s) 2022-11-23T01:28:19.4527720Z test_make_fx_symbolic_exhaustive_special_bessel_y1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.023s) 2022-11-23T01:28:19.4527945Z test_make_fx_symbolic_exhaustive_special_chebyshev_polynomial_t_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.018s) 2022-11-23T01:28:19.4528172Z test_make_fx_symbolic_exhaustive_special_chebyshev_polynomial_u_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.018s) 2022-11-23T01:28:19.4528578Z test_make_fx_symbolic_exhaustive_special_chebyshev_polynomial_v_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:28:19.4528973Z test_make_fx_symbolic_exhaustive_special_chebyshev_polynomial_w_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:28:19.4529160Z test_make_fx_symbolic_exhaustive_special_entr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.061s) 2022-11-23T01:28:19.4529346Z test_make_fx_symbolic_exhaustive_special_erfcx_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.049s) 2022-11-23T01:28:19.4529564Z test_make_fx_symbolic_exhaustive_special_hermite_polynomial_h_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.019s) 2022-11-23T01:28:19.4529785Z test_make_fx_symbolic_exhaustive_special_hermite_polynomial_he_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.019s) 2022-11-23T01:28:19.4529972Z test_make_fx_symbolic_exhaustive_special_i0e_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.031s) 2022-11-23T01:28:19.4530172Z test_make_fx_symbolic_exhaustive_special_i1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.033s) 2022-11-23T01:28:19.4530357Z test_make_fx_symbolic_exhaustive_special_i1e_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.030s) 2022-11-23T01:28:19.4530578Z test_make_fx_symbolic_exhaustive_special_laguerre_polynomial_l_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.019s) 2022-11-23T01:28:19.4530978Z test_make_fx_symbolic_exhaustive_special_legendre_polynomial_p_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:28:19.4531196Z test_make_fx_symbolic_exhaustive_special_log_ndtr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.129s) 2022-11-23T01:28:19.4531412Z test_make_fx_symbolic_exhaustive_special_modified_bessel_i0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.024s) 2022-11-23T01:28:19.4531630Z test_make_fx_symbolic_exhaustive_special_modified_bessel_i1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.023s) 2022-11-23T01:28:19.4531842Z test_make_fx_symbolic_exhaustive_special_modified_bessel_k0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.023s) 2022-11-23T01:28:19.4532054Z test_make_fx_symbolic_exhaustive_special_modified_bessel_k1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.024s) 2022-11-23T01:28:19.4532239Z test_make_fx_symbolic_exhaustive_special_ndtr_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.082s) 2022-11-23T01:28:19.4532415Z test_make_fx_symbolic_exhaustive_special_ndtri_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.050s) 2022-11-23T01:28:19.4532644Z test_make_fx_symbolic_exhaustive_special_polygamma_special_polygamma_n_0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.028s) 2022-11-23T01:28:19.4532869Z test_make_fx_symbolic_exhaustive_special_scaled_modified_bessel_k0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.023s) 2022-11-23T01:28:19.4533087Z test_make_fx_symbolic_exhaustive_special_scaled_modified_bessel_k1_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.023s) 2022-11-23T01:28:19.4533497Z test_make_fx_symbolic_exhaustive_special_shifted_chebyshev_polynomial_t_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:28:19.4533895Z test_make_fx_symbolic_exhaustive_special_shifted_chebyshev_polynomial_u_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:28:19.4534301Z test_make_fx_symbolic_exhaustive_special_shifted_chebyshev_polynomial_v_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:28:19.4534708Z test_make_fx_symbolic_exhaustive_special_shifted_chebyshev_polynomial_w_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:28:19.4534910Z test_make_fx_symbolic_exhaustive_special_spherical_bessel_j0_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.048s) 2022-11-23T01:28:19.4535101Z test_make_fx_symbolic_exhaustive_special_xlog1py_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.635s) 2022-11-23T01:28:19.4535287Z test_make_fx_symbolic_exhaustive_special_zeta_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.414s) 2022-11-23T01:28:19.4535455Z test_make_fx_symbolic_exhaustive_split_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.207s) 2022-11-23T01:28:19.4535644Z test_make_fx_symbolic_exhaustive_split_list_args_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.540s) 2022-11-23T01:28:19.4546243Z test_make_fx_symbolic_exhaustive_split_with_sizes_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.480s) 2022-11-23T01:28:19.4546654Z test_make_fx_symbolic_exhaustive_sqrt_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.032s) 2022-11-23T01:28:19.4546847Z test_make_fx_symbolic_exhaustive_square_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.053s) 2022-11-23T01:28:19.4547033Z test_make_fx_symbolic_exhaustive_squeeze_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.261s) 2022-11-23T01:28:19.4547212Z test_make_fx_symbolic_exhaustive_stack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.636s) 2022-11-23T01:28:19.4547390Z test_make_fx_symbolic_exhaustive_std_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.324s) 2022-11-23T01:28:19.4547608Z test_make_fx_symbolic_exhaustive_std_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.386s) 2022-11-23T01:28:19.4547879Z test_make_fx_symbolic_exhaustive_stft_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.034s) 2022-11-23T01:28:19.4548063Z test_make_fx_symbolic_exhaustive_sub_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.508s) 2022-11-23T01:28:19.4548238Z test_make_fx_symbolic_exhaustive_sum_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.582s) 2022-11-23T01:28:19.4548435Z test_make_fx_symbolic_exhaustive_sum_to_size_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.014s) 2022-11-23T01:28:19.4548627Z test_make_fx_symbolic_exhaustive_svd_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.019s) 2022-11-23T01:28:19.4548828Z test_make_fx_symbolic_exhaustive_svd_lowrank_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.038s) 2022-11-23T01:28:19.4549025Z test_make_fx_symbolic_exhaustive_symeig_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.034s) 2022-11-23T01:28:19.4549197Z test_make_fx_symbolic_exhaustive_t_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.054s) 2022-11-23T01:28:19.4549389Z test_make_fx_symbolic_exhaustive_take_along_dim_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.038s) 2022-11-23T01:28:19.4549580Z test_make_fx_symbolic_exhaustive_take_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.029s) 2022-11-23T01:28:19.4549754Z test_make_fx_symbolic_exhaustive_tan_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.029s) 2022-11-23T01:28:19.4549927Z test_make_fx_symbolic_exhaustive_tanh_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.031s) 2022-11-23T01:28:19.4550127Z test_make_fx_symbolic_exhaustive_tensor_split_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.040s) 2022-11-23T01:28:19.4550325Z test_make_fx_symbolic_exhaustive_tensordot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.049s) 2022-11-23T01:28:19.4550498Z test_make_fx_symbolic_exhaustive_tile_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.975s) 2022-11-23T01:28:19.4550689Z test_make_fx_symbolic_exhaustive_to_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.4550886Z test_make_fx_symbolic_exhaustive_to_sparse_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:28:19.4551046Z test_make_fx_symbolic_exhaustive_topk_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.481s) 2022-11-23T01:28:19.4551221Z test_make_fx_symbolic_exhaustive_trace_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.028s) 2022-11-23T01:28:19.4551402Z test_make_fx_symbolic_exhaustive_transpose_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.249s) 2022-11-23T01:28:19.4551599Z test_make_fx_symbolic_exhaustive_trapezoid_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.042s) 2022-11-23T01:28:19.4551793Z test_make_fx_symbolic_exhaustive_trapz_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.041s) 2022-11-23T01:28:19.4552029Z test_make_fx_symbolic_exhaustive_triangular_solve_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.043s) 2022-11-23T01:28:19.4552207Z test_make_fx_symbolic_exhaustive_tril_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.577s) 2022-11-23T01:28:19.4552380Z test_make_fx_symbolic_exhaustive_triu_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.550s) 2022-11-23T01:28:19.4552560Z test_make_fx_symbolic_exhaustive_true_divide_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.412s) 2022-11-23T01:28:19.4552733Z test_make_fx_symbolic_exhaustive_trunc_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.033s) 2022-11-23T01:28:19.4552898Z test_make_fx_symbolic_exhaustive_unbind_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.450s) 2022-11-23T01:28:19.4553125Z test_make_fx_symbolic_exhaustive_unflatten_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.023s) 2022-11-23T01:28:19.4553306Z test_make_fx_symbolic_exhaustive_unfold_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (2.667s) 2022-11-23T01:28:19.4553486Z test_make_fx_symbolic_exhaustive_unfold_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (1.605s) 2022-11-23T01:28:19.4553679Z test_make_fx_symbolic_exhaustive_uniform_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.024s) 2022-11-23T01:28:19.4553916Z test_make_fx_symbolic_exhaustive_unique_consecutive_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.009s) 2022-11-23T01:28:19.4554139Z test_make_fx_symbolic_exhaustive_unique_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... skip: Dynamic output shape operation in trace (0.009s) 2022-11-23T01:28:19.4554322Z test_make_fx_symbolic_exhaustive_unsqueeze_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.240s) 2022-11-23T01:28:19.4554495Z test_make_fx_symbolic_exhaustive_var_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.260s) 2022-11-23T01:28:19.4554660Z test_make_fx_symbolic_exhaustive_var_mean_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.340s) 2022-11-23T01:28:19.4554837Z test_make_fx_symbolic_exhaustive_vdot_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.023s) 2022-11-23T01:28:19.4555022Z test_make_fx_symbolic_exhaustive_view_as_complex_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.031s) 2022-11-23T01:28:19.4555217Z test_make_fx_symbolic_exhaustive_view_as_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.044s) 2022-11-23T01:28:19.4555397Z test_make_fx_symbolic_exhaustive_view_copy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.610s) 2022-11-23T01:28:19.4555570Z test_make_fx_symbolic_exhaustive_view_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.502s) 2022-11-23T01:28:19.4555766Z test_make_fx_symbolic_exhaustive_vsplit_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... expected failure (0.028s) 2022-11-23T01:28:19.4555943Z test_make_fx_symbolic_exhaustive_vstack_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.113s) 2022-11-23T01:28:19.4556119Z test_make_fx_symbolic_exhaustive_where_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.288s) 2022-11-23T01:28:19.4556281Z test_make_fx_symbolic_exhaustive_xlogy_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.654s) 2022-11-23T01:28:19.4556449Z test_make_fx_symbolic_exhaustive_zero__cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.079s) 2022-11-23T01:28:19.4556623Z test_make_fx_symbolic_exhaustive_zeros_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.019s) 2022-11-23T01:28:19.4556801Z test_make_fx_symbolic_exhaustive_zeros_like_cpu_float32 (__main__.TestProxyTensorOpInfoCPU) ... ok (0.131s) 2022-11-23T01:28:19.4556939Z test_binary_broadcast (__main__.TestSymbolicTracing) ... ok (0.047s) 2022-11-23T01:28:19.4557056Z test_cat (__main__.TestSymbolicTracing) ... ok (0.082s) 2022-11-23T01:28:19.4557208Z test_elementwise_meta_with_sym_numbers (__main__.TestSymbolicTracing) ... ok (0.070s) 2022-11-23T01:28:19.4557331Z test_expand (__main__.TestSymbolicTracing) ... ok (0.055s) 2022-11-23T01:28:19.4557487Z test_guards_equal (__main__.TestSymbolicTracing) ... ok (0.550s) 2022-11-23T01:28:19.4557601Z test_mega_guard (__main__.TestSymbolicTracing) ... ok (0.041s) 2022-11-23T01:28:19.4557726Z test_metadata (__main__.TestSymbolicTracing) ... ok (0.032s) 2022-11-23T01:28:19.4557859Z test_metadata_fresh (__main__.TestSymbolicTracing) ... ok (0.024s) 2022-11-23T01:28:19.4557992Z test_multiply_shape (__main__.TestSymbolicTracing) ... ok (0.021s) 2022-11-23T01:28:19.4558118Z test_neg_shape (__main__.TestSymbolicTracing) ... ok (0.048s) 2022-11-23T01:28:19.4558837Z test_new_empty (__main__.TestSymbolicTracing) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/83408 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:28:19.4559026Z test_nonidentity_transitive_guards (__main__.TestSymbolicTracing) ... ok (0.104s) 2022-11-23T01:28:19.4559157Z test_return_symint (__main__.TestSymbolicTracing) ... ok (0.048s) 2022-11-23T01:28:19.4559281Z test_rmethod (__main__.TestSymbolicTracing) ... ok (0.022s) 2022-11-23T01:28:19.4559400Z test_size_with_tensor (__main__.TestSymbolicTracing) ... ok (0.046s) 2022-11-23T01:28:19.4559524Z test_sqrt_size (__main__.TestSymbolicTracing) ... ok (0.023s) 2022-11-23T01:28:19.4559664Z test_sym_storage_offset (__main__.TestSymbolicTracing) ... ok (0.039s) 2022-11-23T01:28:19.4559795Z test_symint_to_tensor (__main__.TestSymbolicTracing) ... ok (0.042s) 2022-11-23T01:28:19.4559917Z test_unary (__main__.TestSymbolicTracing) ... ok (0.042s) 2022-11-23T01:28:19.4559927Z 2022-11-23T01:28:19.4560128Z ---------------------------------------------------------------------- 2022-11-23T01:28:19.4560207Z Ran 2582 tests in 594.248s 2022-11-23T01:28:19.4560213Z 2022-11-23T01:28:19.4560310Z OK (skipped=573, expected failures=256) 2022-11-23T01:28:19.4560318Z 2022-11-23T01:28:19.4560390Z Generating XML reports... 2022-11-23T01:28:19.4560699Z Generated XML report: test-reports/python-unittest/test_proxy_tensor/TEST-TestFakeProxyTensor-20221123011820.xml 2022-11-23T01:28:19.4561027Z Generated XML report: test-reports/python-unittest/test_proxy_tensor/TEST-TestGenericProxyTensorFake-20221123011820.xml 2022-11-23T01:28:19.4561340Z Generated XML report: test-reports/python-unittest/test_proxy_tensor/TEST-TestGenericProxyTensorReal-20221123011820.xml 2022-11-23T01:28:19.4561678Z Generated XML report: test-reports/python-unittest/test_proxy_tensor/TEST-TestGenericProxyTensorSymbolic-20221123011820.xml 2022-11-23T01:28:19.4561995Z Generated XML report: test-reports/python-unittest/test_proxy_tensor/TEST-TestProxyTensorOpInfoCPU-20221123011820.xml 2022-11-23T01:28:19.4562290Z Generated XML report: test-reports/python-unittest/test_proxy_tensor/TEST-TestSymbolicTracing-20221123011820.xml 2022-11-23T01:28:19.4562296Z 2022-11-23T01:28:19.4562661Z ##[endgroup] 2022-11-23T01:28:19.4562937Z FINISHED PRINTING LOG FILE of test_proxy_tensor (/var/lib/jenkins/workspace/test/test-reports/test_proxy_tensor_ccqaxarc) 2022-11-23T01:28:19.4562942Z 2022-11-23T01:28:21.2938286Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:28:21.4321259Z Ignoring disabled issues: [] 2022-11-23T01:28:21.4483879Z Running inductor/test_torchinductor ... [2022-11-23 01:28:21.448083] 2022-11-23T01:28:21.4486011Z Executing ['/opt/conda/bin/python', '-bb', 'inductor/test_torchinductor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:28:21.448367] 2022-11-23T01:37:01.1062732Z 2022-11-23T01:37:01.1063193Z Expand the folded group to see the log file of test_decomp 2022-11-23T01:37:01.1063934Z ##[group]PRINTING LOG FILE of test_decomp (/var/lib/jenkins/workspace/test/test-reports/test_decomp_idxi_14a) 2022-11-23T01:37:01.1072067Z Test results will be stored in test-reports/python-unittest/test_decomp 2022-11-23T01:37:01.1072401Z 2022-11-23T01:37:01.1075135Z Running tests... 2022-11-23T01:37:01.1075768Z ---------------------------------------------------------------------- 2022-11-23T01:37:01.1076492Z test_contiguous_log_softmax_cpu (__main__.DecompContiguousTestsCPU) ... ok (0.020s) 2022-11-23T01:37:01.1077214Z test_contiguous_softmax_cpu (__main__.DecompContiguousTestsCPU) ... ok (0.002s) 2022-11-23T01:37:01.1077869Z test_comprehensive_H_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1141597Z test_comprehensive_H_cpu_bool (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.1142077Z test_comprehensive_H_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.102s) 2022-11-23T01:37:01.1142771Z test_comprehensive_H_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.034s) 2022-11-23T01:37:01.1143218Z test_comprehensive_H_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.102s) 2022-11-23T01:37:01.1143611Z test_comprehensive_H_cpu_float16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1144130Z test_comprehensive_H_cpu_float32 (__main__.TestDecompCPU) ... ok (0.036s) 2022-11-23T01:37:01.1144576Z test_comprehensive_H_cpu_float64 (__main__.TestDecompCPU) ... ok (0.036s) 2022-11-23T01:37:01.1182580Z test_comprehensive_H_cpu_int16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1183115Z test_comprehensive_H_cpu_int32 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1183640Z test_comprehensive_H_cpu_int64 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1184167Z test_comprehensive_H_cpu_int8 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1184709Z test_comprehensive_H_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1185207Z test_comprehensive_T_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1185704Z test_comprehensive_T_cpu_bool (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1186252Z test_comprehensive_T_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.070s) 2022-11-23T01:37:01.1186818Z test_comprehensive_T_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.036s) 2022-11-23T01:37:01.1187391Z test_comprehensive_T_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.071s) 2022-11-23T01:37:01.1187909Z test_comprehensive_T_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1188474Z test_comprehensive_T_cpu_float32 (__main__.TestDecompCPU) ... ok (0.039s) 2022-11-23T01:37:01.1189041Z test_comprehensive_T_cpu_float64 (__main__.TestDecompCPU) ... ok (0.038s) 2022-11-23T01:37:01.1189589Z test_comprehensive_T_cpu_int16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1190138Z test_comprehensive_T_cpu_int32 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1190665Z test_comprehensive_T_cpu_int64 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1191203Z test_comprehensive_T_cpu_int8 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1191751Z test_comprehensive_T_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1192342Z test_comprehensive___getitem___cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.036s) 2022-11-23T01:37:01.1192781Z test_comprehensive___getitem___cpu_bool (__main__.TestDecompCPU) ... ok (0.111s) 2022-11-23T01:37:01.1193354Z test_comprehensive___getitem___cpu_complex128 (__main__.TestDecompCPU) ... ok (0.525s) 2022-11-23T01:37:01.1193945Z test_comprehensive___getitem___cpu_complex32 (__main__.TestDecompCPU) ... ok (0.285s) 2022-11-23T01:37:01.1194369Z test_comprehensive___getitem___cpu_complex64 (__main__.TestDecompCPU) ... ok (0.487s) 2022-11-23T01:37:01.1194985Z test_comprehensive___getitem___cpu_float16 (__main__.TestDecompCPU) ... ok (0.035s) 2022-11-23T01:37:01.1195371Z test_comprehensive___getitem___cpu_float32 (__main__.TestDecompCPU) ... ok (0.287s) 2022-11-23T01:37:01.1195690Z test_comprehensive___getitem___cpu_float64 (__main__.TestDecompCPU) ... ok (0.281s) 2022-11-23T01:37:01.1196139Z test_comprehensive___getitem___cpu_int16 (__main__.TestDecompCPU) ... ok (0.112s) 2022-11-23T01:37:01.1196458Z test_comprehensive___getitem___cpu_int32 (__main__.TestDecompCPU) ... ok (0.112s) 2022-11-23T01:37:01.1196769Z test_comprehensive___getitem___cpu_int64 (__main__.TestDecompCPU) ... ok (0.114s) 2022-11-23T01:37:01.1197065Z test_comprehensive___getitem___cpu_int8 (__main__.TestDecompCPU) ... ok (0.159s) 2022-11-23T01:37:01.1197379Z test_comprehensive___getitem___cpu_uint8 (__main__.TestDecompCPU) ... ok (0.156s) 2022-11-23T01:37:01.1197692Z test_comprehensive___radd___cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.026s) 2022-11-23T01:37:01.1198003Z test_comprehensive___radd___cpu_bool (__main__.TestDecompCPU) ... ok (0.067s) 2022-11-23T01:37:01.1198359Z test_comprehensive___radd___cpu_complex128 (__main__.TestDecompCPU) ... ok (0.416s) 2022-11-23T01:37:01.1198678Z test_comprehensive___radd___cpu_complex64 (__main__.TestDecompCPU) ... ok (0.416s) 2022-11-23T01:37:01.1198991Z test_comprehensive___radd___cpu_float16 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.1199290Z test_comprehensive___radd___cpu_float32 (__main__.TestDecompCPU) ... ok (0.243s) 2022-11-23T01:37:01.1199606Z test_comprehensive___radd___cpu_float64 (__main__.TestDecompCPU) ... ok (0.225s) 2022-11-23T01:37:01.1199916Z test_comprehensive___radd___cpu_int16 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1200219Z test_comprehensive___radd___cpu_int32 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1200507Z test_comprehensive___radd___cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1200806Z test_comprehensive___radd___cpu_int8 (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.1201110Z test_comprehensive___radd___cpu_uint8 (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.1201401Z test_comprehensive___rand___cpu_bool (__main__.TestDecompCPU) ... ok (0.061s) 2022-11-23T01:37:01.1201698Z test_comprehensive___rand___cpu_int16 (__main__.TestDecompCPU) ... ok (0.061s) 2022-11-23T01:37:01.1201994Z test_comprehensive___rand___cpu_int32 (__main__.TestDecompCPU) ... ok (0.061s) 2022-11-23T01:37:01.1202290Z test_comprehensive___rand___cpu_int64 (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.1202576Z test_comprehensive___rand___cpu_int8 (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.1202874Z test_comprehensive___rand___cpu_uint8 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.1203187Z test_comprehensive___rdiv___cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.058s) 2022-11-23T01:37:01.1203484Z test_comprehensive___rdiv___cpu_bool (__main__.TestDecompCPU) ... ok (0.151s) 2022-11-23T01:37:01.1203797Z test_comprehensive___rdiv___cpu_complex128 (__main__.TestDecompCPU) ... ok (1.782s) 2022-11-23T01:37:01.1204114Z test_comprehensive___rdiv___cpu_complex64 (__main__.TestDecompCPU) ... ok (1.849s) 2022-11-23T01:37:01.1204427Z test_comprehensive___rdiv___cpu_float16 (__main__.TestDecompCPU) ... ok (0.066s) 2022-11-23T01:37:01.1204723Z test_comprehensive___rdiv___cpu_float32 (__main__.TestDecompCPU) ... ok (1.158s) 2022-11-23T01:37:01.1205031Z test_comprehensive___rdiv___cpu_float64 (__main__.TestDecompCPU) ... ok (1.177s) 2022-11-23T01:37:01.1205341Z test_comprehensive___rdiv___cpu_int16 (__main__.TestDecompCPU) ... ok (0.136s) 2022-11-23T01:37:01.1205627Z test_comprehensive___rdiv___cpu_int32 (__main__.TestDecompCPU) ... ok (0.168s) 2022-11-23T01:37:01.1205926Z test_comprehensive___rdiv___cpu_int64 (__main__.TestDecompCPU) ... ok (0.161s) 2022-11-23T01:37:01.1206222Z test_comprehensive___rdiv___cpu_int8 (__main__.TestDecompCPU) ... ok (0.160s) 2022-11-23T01:37:01.1206524Z test_comprehensive___rdiv___cpu_uint8 (__main__.TestDecompCPU) ... ok (0.165s) 2022-11-23T01:37:01.1206819Z test_comprehensive___rmatmul___cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.091s) 2022-11-23T01:37:01.1207135Z test_comprehensive___rmatmul___cpu_complex128 (__main__.TestDecompCPU) ... ok (2.805s) 2022-11-23T01:37:01.1207493Z test_comprehensive___rmatmul___cpu_complex64 (__main__.TestDecompCPU) ... ok (2.760s) 2022-11-23T01:37:01.1207802Z test_comprehensive___rmatmul___cpu_float32 (__main__.TestDecompCPU) ... ok (1.394s) 2022-11-23T01:37:01.1208118Z test_comprehensive___rmatmul___cpu_float64 (__main__.TestDecompCPU) ... ok (1.394s) 2022-11-23T01:37:01.1208429Z test_comprehensive___rmatmul___cpu_int16 (__main__.TestDecompCPU) ... ok (0.614s) 2022-11-23T01:37:01.1208740Z test_comprehensive___rmatmul___cpu_int32 (__main__.TestDecompCPU) ... ok (0.587s) 2022-11-23T01:37:01.1209030Z test_comprehensive___rmatmul___cpu_int64 (__main__.TestDecompCPU) ... ok (0.610s) 2022-11-23T01:37:01.1209371Z test_comprehensive___rmatmul___cpu_int8 (__main__.TestDecompCPU) ... ok (0.596s) 2022-11-23T01:37:01.1209683Z test_comprehensive___rmatmul___cpu_uint8 (__main__.TestDecompCPU) ... ok (0.590s) 2022-11-23T01:37:01.1209977Z test_comprehensive___rmod___cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.073s) 2022-11-23T01:37:01.1210289Z test_comprehensive___rmod___cpu_float16 (__main__.TestDecompCPU) ... ok (0.078s) 2022-11-23T01:37:01.1210594Z test_comprehensive___rmod___cpu_float32 (__main__.TestDecompCPU) ... ok (0.771s) 2022-11-23T01:37:01.1220096Z test_comprehensive___rmod___cpu_float64 (__main__.TestDecompCPU) ... ok (0.775s) 2022-11-23T01:37:01.1222153Z test_comprehensive___rmul___cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.036s) 2022-11-23T01:37:01.1222473Z test_comprehensive___rmul___cpu_bool (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.1222809Z test_comprehensive___rmul___cpu_complex128 (__main__.TestDecompCPU) ... ok (1.314s) 2022-11-23T01:37:01.1223127Z test_comprehensive___rmul___cpu_complex64 (__main__.TestDecompCPU) ... ok (1.203s) 2022-11-23T01:37:01.1223445Z test_comprehensive___rmul___cpu_float16 (__main__.TestDecompCPU) ... ok (0.034s) 2022-11-23T01:37:01.1223760Z test_comprehensive___rmul___cpu_float32 (__main__.TestDecompCPU) ... ok (0.491s) 2022-11-23T01:37:01.1224073Z test_comprehensive___rmul___cpu_float64 (__main__.TestDecompCPU) ... ok (0.491s) 2022-11-23T01:37:01.1224364Z test_comprehensive___rmul___cpu_int16 (__main__.TestDecompCPU) ... ok (0.056s) 2022-11-23T01:37:01.1224669Z test_comprehensive___rmul___cpu_int32 (__main__.TestDecompCPU) ... ok (0.058s) 2022-11-23T01:37:01.1224970Z test_comprehensive___rmul___cpu_int64 (__main__.TestDecompCPU) ... ok (0.056s) 2022-11-23T01:37:01.1225259Z test_comprehensive___rmul___cpu_int8 (__main__.TestDecompCPU) ... ok (0.059s) 2022-11-23T01:37:01.1225563Z test_comprehensive___rmul___cpu_uint8 (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.1225865Z test_comprehensive___ror___cpu_bool (__main__.TestDecompCPU) ... ok (0.059s) 2022-11-23T01:37:01.1226266Z test_comprehensive___ror___cpu_int16 (__main__.TestDecompCPU) ... ok (0.056s) 2022-11-23T01:37:01.1226719Z test_comprehensive___ror___cpu_int32 (__main__.TestDecompCPU) ... ok (0.059s) 2022-11-23T01:37:01.1227018Z test_comprehensive___ror___cpu_int64 (__main__.TestDecompCPU) ... ok (0.058s) 2022-11-23T01:37:01.1227321Z test_comprehensive___ror___cpu_int8 (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.1227637Z test_comprehensive___ror___cpu_uint8 (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.1228271Z test_comprehensive___rpow___cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.139s) 2022-11-23T01:37:01.1228805Z test_comprehensive___rpow___cpu_complex128 (__main__.TestDecompCPU) ... ok (1.972s) 2022-11-23T01:37:01.1229125Z test_comprehensive___rpow___cpu_complex64 (__main__.TestDecompCPU) ... ok (2.049s) 2022-11-23T01:37:01.1229607Z test_comprehensive___rpow___cpu_float16 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.1230151Z test_comprehensive___rpow___cpu_float32 (__main__.TestDecompCPU) ... ok (0.807s) 2022-11-23T01:37:01.1231044Z test_comprehensive___rpow___cpu_float64 (__main__.TestDecompCPU) ... ok (0.796s) 2022-11-23T01:37:01.1232951Z test_comprehensive___rpow___cpu_int16 (__main__.TestDecompCPU) ... ok (0.079s) 2022-11-23T01:37:01.1233445Z test_comprehensive___rpow___cpu_int32 (__main__.TestDecompCPU) ... ok (0.083s) 2022-11-23T01:37:01.1233968Z test_comprehensive___rpow___cpu_int64 (__main__.TestDecompCPU) ... ok (0.085s) 2022-11-23T01:37:01.1234542Z test_comprehensive___rpow___cpu_int8 (__main__.TestDecompCPU) ... ok (0.078s) 2022-11-23T01:37:01.1295876Z test_comprehensive___rpow___cpu_uint8 (__main__.TestDecompCPU) ... ok (0.087s) 2022-11-23T01:37:01.1296197Z test_comprehensive___rsub___cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.1296520Z test_comprehensive___rsub___cpu_complex128 (__main__.TestDecompCPU) ... ok (0.702s) 2022-11-23T01:37:01.1296969Z test_comprehensive___rsub___cpu_complex64 (__main__.TestDecompCPU) ... ok (0.703s) 2022-11-23T01:37:01.1297286Z test_comprehensive___rsub___cpu_float16 (__main__.TestDecompCPU) ... ok (0.024s) 2022-11-23T01:37:01.1297584Z test_comprehensive___rsub___cpu_float32 (__main__.TestDecompCPU) ... ok (0.395s) 2022-11-23T01:37:01.1297901Z test_comprehensive___rsub___cpu_float64 (__main__.TestDecompCPU) ... ok (0.384s) 2022-11-23T01:37:01.1298209Z test_comprehensive___rsub___cpu_int16 (__main__.TestDecompCPU) ... ok (0.055s) 2022-11-23T01:37:01.1298496Z test_comprehensive___rsub___cpu_int32 (__main__.TestDecompCPU) ... ok (0.065s) 2022-11-23T01:37:01.1301045Z test_comprehensive___rsub___cpu_int64 (__main__.TestDecompCPU) ... ok (0.059s) 2022-11-23T01:37:01.1301357Z test_comprehensive___rsub___cpu_int8 (__main__.TestDecompCPU) ... ok (0.058s) 2022-11-23T01:37:01.1301664Z test_comprehensive___rsub___cpu_uint8 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.1301957Z test_comprehensive___rxor___cpu_bool (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.1302256Z test_comprehensive___rxor___cpu_int16 (__main__.TestDecompCPU) ... ok (0.056s) 2022-11-23T01:37:01.1302552Z test_comprehensive___rxor___cpu_int32 (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.1302837Z test_comprehensive___rxor___cpu_int64 (__main__.TestDecompCPU) ... ok (0.056s) 2022-11-23T01:37:01.1303130Z test_comprehensive___rxor___cpu_int8 (__main__.TestDecompCPU) ... ok (0.059s) 2022-11-23T01:37:01.1303423Z test_comprehensive___rxor___cpu_uint8 (__main__.TestDecompCPU) ... ok (0.053s) 2022-11-23T01:37:01.1303809Z test_comprehensive__softmax_backward_data_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: _softmax_backward_data in torch.bfloat16 not supported (0.001s) 2022-11-23T01:37:01.1304207Z test_comprehensive__softmax_backward_data_cpu_float32 (__main__.TestDecompCPU) ... ok (0.092s) 2022-11-23T01:37:01.1304549Z test_comprehensive__softmax_backward_data_cpu_float64 (__main__.TestDecompCPU) ... ok (0.091s) 2022-11-23T01:37:01.1304875Z test_comprehensive_abs_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1305173Z test_comprehensive_abs_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.165s) 2022-11-23T01:37:01.1305481Z test_comprehensive_abs_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.1305788Z test_comprehensive_abs_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.189s) 2022-11-23T01:37:01.1306091Z test_comprehensive_abs_cpu_float16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1306379Z test_comprehensive_abs_cpu_float32 (__main__.TestDecompCPU) ... ok (0.114s) 2022-11-23T01:37:01.1306678Z test_comprehensive_abs_cpu_float64 (__main__.TestDecompCPU) ... ok (0.118s) 2022-11-23T01:37:01.1306973Z test_comprehensive_abs_cpu_int16 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1307259Z test_comprehensive_abs_cpu_int32 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1307559Z test_comprehensive_abs_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1307852Z test_comprehensive_abs_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1308218Z test_comprehensive_abs_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.1308590Z test_comprehensive_acos_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1308898Z test_comprehensive_acos_cpu_bool (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1309200Z test_comprehensive_acos_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.080s) 2022-11-23T01:37:01.1309502Z test_comprehensive_acos_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.083s) 2022-11-23T01:37:01.1309810Z test_comprehensive_acos_cpu_float32 (__main__.TestDecompCPU) ... ok (0.046s) 2022-11-23T01:37:01.1310113Z test_comprehensive_acos_cpu_float64 (__main__.TestDecompCPU) ... ok (0.040s) 2022-11-23T01:37:01.1310417Z test_comprehensive_acos_cpu_int16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1310745Z test_comprehensive_acos_cpu_int32 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1311042Z test_comprehensive_acos_cpu_int64 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1311338Z test_comprehensive_acos_cpu_int8 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1311628Z test_comprehensive_acos_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1311934Z test_comprehensive_acosh_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1312239Z test_comprehensive_acosh_cpu_bool (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1312544Z test_comprehensive_acosh_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.090s) 2022-11-23T01:37:01.1312846Z test_comprehensive_acosh_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.074s) 2022-11-23T01:37:01.1313158Z test_comprehensive_acosh_cpu_float32 (__main__.TestDecompCPU) ... ok (0.030s) 2022-11-23T01:37:01.1313466Z test_comprehensive_acosh_cpu_float64 (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.1313757Z test_comprehensive_acosh_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1314057Z test_comprehensive_acosh_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1314356Z test_comprehensive_acosh_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1314649Z test_comprehensive_acosh_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1314934Z test_comprehensive_acosh_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1315236Z test_comprehensive_add_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.1315537Z test_comprehensive_add_cpu_bool (__main__.TestDecompCPU) ... ok (0.054s) 2022-11-23T01:37:01.1315826Z test_comprehensive_add_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.438s) 2022-11-23T01:37:01.1316136Z test_comprehensive_add_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.162s) 2022-11-23T01:37:01.1316445Z test_comprehensive_add_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.481s) 2022-11-23T01:37:01.1316737Z test_comprehensive_add_cpu_float16 (__main__.TestDecompCPU) ... ok (0.025s) 2022-11-23T01:37:01.1317034Z test_comprehensive_add_cpu_float32 (__main__.TestDecompCPU) ... ok (0.252s) 2022-11-23T01:37:01.1317340Z test_comprehensive_add_cpu_float64 (__main__.TestDecompCPU) ... ok (0.278s) 2022-11-23T01:37:01.1317637Z test_comprehensive_add_cpu_int16 (__main__.TestDecompCPU) ... ok (0.062s) 2022-11-23T01:37:01.1317918Z test_comprehensive_add_cpu_int32 (__main__.TestDecompCPU) ... ok (0.057s) 2022-11-23T01:37:01.1318210Z test_comprehensive_add_cpu_int64 (__main__.TestDecompCPU) ... ok (0.056s) 2022-11-23T01:37:01.1318501Z test_comprehensive_add_cpu_int8 (__main__.TestDecompCPU) ... ok (0.055s) 2022-11-23T01:37:01.1318780Z test_comprehensive_add_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.055s) 2022-11-23T01:37:01.1319084Z test_comprehensive_addbmm_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.031s) 2022-11-23T01:37:01.1319403Z test_comprehensive_addbmm_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.396s) 2022-11-23T01:37:01.1319719Z test_comprehensive_addbmm_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.341s) 2022-11-23T01:37:01.1320048Z test_comprehensive_addbmm_cpu_float32 (__main__.TestDecompCPU) ... ok (0.326s) 2022-11-23T01:37:01.1320362Z test_comprehensive_addbmm_cpu_float64 (__main__.TestDecompCPU) ... ok (0.322s) 2022-11-23T01:37:01.1320668Z test_comprehensive_addbmm_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1320957Z test_comprehensive_addbmm_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1321254Z test_comprehensive_addbmm_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1321550Z test_comprehensive_addbmm_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1321852Z test_comprehensive_addbmm_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1322178Z test_comprehensive_addcdiv_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.087s) 2022-11-23T01:37:01.1322495Z test_comprehensive_addcdiv_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.082s) 2022-11-23T01:37:01.1322821Z test_comprehensive_addcdiv_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.131s) 2022-11-23T01:37:01.1323125Z test_comprehensive_addcdiv_cpu_float32 (__main__.TestDecompCPU) ... ok (0.562s) 2022-11-23T01:37:01.1323435Z test_comprehensive_addcdiv_cpu_float64 (__main__.TestDecompCPU) ... ok (0.545s) 2022-11-23T01:37:01.1323746Z test_comprehensive_addcmul_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.064s) 2022-11-23T01:37:01.1324064Z test_comprehensive_addcmul_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.751s) 2022-11-23T01:37:01.1324370Z test_comprehensive_addcmul_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.778s) 2022-11-23T01:37:01.1324685Z test_comprehensive_addcmul_cpu_float32 (__main__.TestDecompCPU) ... ok (0.397s) 2022-11-23T01:37:01.1324996Z test_comprehensive_addcmul_cpu_float64 (__main__.TestDecompCPU) ... ok (0.383s) 2022-11-23T01:37:01.1325289Z test_comprehensive_addcmul_cpu_int16 (__main__.TestDecompCPU) ... ok (0.032s) 2022-11-23T01:37:01.1325592Z test_comprehensive_addcmul_cpu_int32 (__main__.TestDecompCPU) ... ok (0.032s) 2022-11-23T01:37:01.1325891Z test_comprehensive_addcmul_cpu_int64 (__main__.TestDecompCPU) ... ok (0.031s) 2022-11-23T01:37:01.1326195Z test_comprehensive_addcmul_cpu_int8 (__main__.TestDecompCPU) ... ok (0.032s) 2022-11-23T01:37:01.1326485Z test_comprehensive_addcmul_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.032s) 2022-11-23T01:37:01.1326862Z test_comprehensive_addmm_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1327187Z test_comprehensive_addmm_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.127s) 2022-11-23T01:37:01.1327489Z test_comprehensive_addmm_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.135s) 2022-11-23T01:37:01.1327799Z test_comprehensive_addmm_cpu_float32 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.1328101Z test_comprehensive_addmm_cpu_float64 (__main__.TestDecompCPU) ... ok (0.045s) 2022-11-23T01:37:01.1328404Z test_comprehensive_addmm_cpu_int16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1328693Z test_comprehensive_addmm_cpu_int32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1328994Z test_comprehensive_addmm_cpu_int64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1329300Z test_comprehensive_addmm_cpu_int8 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1333745Z test_comprehensive_addmm_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1334065Z test_comprehensive_addmm_decomposed_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1334411Z test_comprehensive_addmm_decomposed_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.084s) 2022-11-23T01:37:01.1334767Z test_comprehensive_addmm_decomposed_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.090s) 2022-11-23T01:37:01.1335092Z test_comprehensive_addmm_decomposed_cpu_float32 (__main__.TestDecompCPU) ... ok (0.032s) 2022-11-23T01:37:01.1335424Z test_comprehensive_addmm_decomposed_cpu_float64 (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.1335818Z test_comprehensive_addmm_decomposed_cpu_int16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1336154Z test_comprehensive_addmm_decomposed_cpu_int32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1336466Z test_comprehensive_addmm_decomposed_cpu_int64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1336798Z test_comprehensive_addmm_decomposed_cpu_int8 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1337184Z test_comprehensive_addmm_decomposed_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1337489Z test_comprehensive_addmv_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.024s) 2022-11-23T01:37:01.1337840Z test_comprehensive_addmv_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.259s) 2022-11-23T01:37:01.1338153Z test_comprehensive_addmv_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.268s) 2022-11-23T01:37:01.1338463Z test_comprehensive_addmv_cpu_float32 (__main__.TestDecompCPU) ... ok (0.118s) 2022-11-23T01:37:01.1338930Z test_comprehensive_addmv_cpu_float64 (__main__.TestDecompCPU) ... ok (0.112s) 2022-11-23T01:37:01.1339241Z test_comprehensive_addmv_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1339546Z test_comprehensive_addmv_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1339834Z test_comprehensive_addmv_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1340137Z test_comprehensive_addmv_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1340440Z test_comprehensive_addmv_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1340748Z test_comprehensive_addr_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.1341041Z test_comprehensive_addr_cpu_bool (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.1341347Z test_comprehensive_addr_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.203s) 2022-11-23T01:37:01.1341661Z test_comprehensive_addr_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.210s) 2022-11-23T01:37:01.1341959Z test_comprehensive_addr_cpu_float16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1342259Z test_comprehensive_addr_cpu_float32 (__main__.TestDecompCPU) ... ok (0.104s) 2022-11-23T01:37:01.1342556Z test_comprehensive_addr_cpu_float64 (__main__.TestDecompCPU) ... ok (0.100s) 2022-11-23T01:37:01.1342855Z test_comprehensive_addr_cpu_int16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.1343138Z test_comprehensive_addr_cpu_int32 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.1343434Z test_comprehensive_addr_cpu_int64 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.1343733Z test_comprehensive_addr_cpu_int8 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.1344013Z test_comprehensive_addr_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.1344313Z test_comprehensive_all_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.1344612Z test_comprehensive_all_cpu_bool (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1344915Z test_comprehensive_all_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.043s) 2022-11-23T01:37:01.1345210Z test_comprehensive_all_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.045s) 2022-11-23T01:37:01.1345507Z test_comprehensive_all_cpu_float16 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.1345803Z test_comprehensive_all_cpu_float32 (__main__.TestDecompCPU) ... ok (0.030s) 2022-11-23T01:37:01.1346091Z test_comprehensive_all_cpu_float64 (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.1346393Z test_comprehensive_all_cpu_int16 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.1346687Z test_comprehensive_all_cpu_int32 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.1346963Z test_comprehensive_all_cpu_int64 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.1347257Z test_comprehensive_all_cpu_int8 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.1347613Z test_comprehensive_all_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.1347907Z test_comprehensive_allclose_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1348291Z test_comprehensive_allclose_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.1348611Z test_comprehensive_allclose_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.1348927Z test_comprehensive_allclose_cpu_float16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1349228Z test_comprehensive_allclose_cpu_float32 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1349586Z test_comprehensive_allclose_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1349900Z test_comprehensive_amax_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.115s) 2022-11-23T01:37:01.1350188Z test_comprehensive_amax_cpu_bool (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.1350487Z test_comprehensive_amax_cpu_float16 (__main__.TestDecompCPU) ... ok (0.120s) 2022-11-23T01:37:01.1350792Z test_comprehensive_amax_cpu_float32 (__main__.TestDecompCPU) ... ok (0.260s) 2022-11-23T01:37:01.1351093Z test_comprehensive_amax_cpu_float64 (__main__.TestDecompCPU) ... ok (0.250s) 2022-11-23T01:37:01.1351383Z test_comprehensive_amax_cpu_int16 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.1351683Z test_comprehensive_amax_cpu_int32 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.1351979Z test_comprehensive_amax_cpu_int64 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.1352258Z test_comprehensive_amax_cpu_int8 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.1352562Z test_comprehensive_amax_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.1352866Z test_comprehensive_amin_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.115s) 2022-11-23T01:37:01.1353168Z test_comprehensive_amin_cpu_bool (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.1353457Z test_comprehensive_amin_cpu_float16 (__main__.TestDecompCPU) ... ok (0.120s) 2022-11-23T01:37:01.1353757Z test_comprehensive_amin_cpu_float32 (__main__.TestDecompCPU) ... ok (0.263s) 2022-11-23T01:37:01.1354057Z test_comprehensive_amin_cpu_float64 (__main__.TestDecompCPU) ... ok (0.252s) 2022-11-23T01:37:01.1354344Z test_comprehensive_amin_cpu_int16 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.1354644Z test_comprehensive_amin_cpu_int32 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.1354944Z test_comprehensive_amin_cpu_int64 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.1355240Z test_comprehensive_amin_cpu_int8 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.1355524Z test_comprehensive_amin_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.1355829Z test_comprehensive_aminmax_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1356135Z test_comprehensive_aminmax_cpu_float32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1356431Z test_comprehensive_aminmax_cpu_float64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1356740Z test_comprehensive_aminmax_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1357046Z test_comprehensive_aminmax_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1357346Z test_comprehensive_aminmax_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1357634Z test_comprehensive_aminmax_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1357944Z test_comprehensive_aminmax_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1358256Z test_comprehensive_angle_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1358547Z test_comprehensive_angle_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1358854Z test_comprehensive_angle_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.304s) 2022-11-23T01:37:01.1359193Z test_comprehensive_angle_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.308s) 2022-11-23T01:37:01.1359500Z test_comprehensive_angle_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1359786Z test_comprehensive_angle_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1360081Z test_comprehensive_angle_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1360382Z test_comprehensive_angle_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1360666Z test_comprehensive_angle_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1360993Z test_comprehensive_angle_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1361294Z test_comprehensive_angle_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1361592Z test_comprehensive_angle_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1361882Z test_comprehensive_any_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.1362177Z test_comprehensive_any_cpu_bool (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.1362478Z test_comprehensive_any_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.042s) 2022-11-23T01:37:01.1362772Z test_comprehensive_any_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.044s) 2022-11-23T01:37:01.1363073Z test_comprehensive_any_cpu_float16 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.1363369Z test_comprehensive_any_cpu_float32 (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.1363660Z test_comprehensive_any_cpu_float64 (__main__.TestDecompCPU) ... ok (0.028s) 2022-11-23T01:37:01.1363942Z test_comprehensive_any_cpu_int16 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.1364235Z test_comprehensive_any_cpu_int32 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.1364522Z test_comprehensive_any_cpu_int64 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1364799Z test_comprehensive_any_cpu_int8 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1365090Z test_comprehensive_any_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.1365390Z test_comprehensive_arange_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1365686Z test_comprehensive_arange_cpu_float16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1365989Z test_comprehensive_arange_cpu_float32 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.1366288Z test_comprehensive_arange_cpu_float64 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.1366591Z test_comprehensive_arange_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.1366881Z test_comprehensive_arange_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.1367174Z test_comprehensive_arange_cpu_int64 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1367475Z test_comprehensive_arange_cpu_int8 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1367762Z test_comprehensive_arange_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1368063Z test_comprehensive_argmax_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1368369Z test_comprehensive_argmax_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1368670Z test_comprehensive_argmax_cpu_float32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1368960Z test_comprehensive_argmax_cpu_float64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1369259Z test_comprehensive_argmax_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1369558Z test_comprehensive_argmax_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1369843Z test_comprehensive_argmax_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1370139Z test_comprehensive_argmax_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1370493Z test_comprehensive_argmax_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1370801Z test_comprehensive_argmin_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1371096Z test_comprehensive_argmin_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1371399Z test_comprehensive_argmin_cpu_float32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1371700Z test_comprehensive_argmin_cpu_float64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1371991Z test_comprehensive_argmin_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1372323Z test_comprehensive_argmin_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1372618Z test_comprehensive_argmin_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1372915Z test_comprehensive_argmin_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1373207Z test_comprehensive_argmin_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1373511Z test_comprehensive_argsort_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1373813Z test_comprehensive_argsort_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1374105Z test_comprehensive_argsort_cpu_float16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1374409Z test_comprehensive_argsort_cpu_float32 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1374714Z test_comprehensive_argsort_cpu_float64 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1375020Z test_comprehensive_argsort_cpu_int16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1375307Z test_comprehensive_argsort_cpu_int32 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1375601Z test_comprehensive_argsort_cpu_int64 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1375904Z test_comprehensive_argsort_cpu_int8 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1376196Z test_comprehensive_argsort_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1376503Z test_comprehensive_argwhere_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1376813Z test_comprehensive_argwhere_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1377123Z test_comprehensive_argwhere_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1377439Z test_comprehensive_argwhere_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1377833Z test_comprehensive_argwhere_cpu_float16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1378146Z test_comprehensive_argwhere_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1378444Z test_comprehensive_argwhere_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1378892Z test_comprehensive_argwhere_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1379214Z test_comprehensive_argwhere_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1379521Z test_comprehensive_argwhere_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1379813Z test_comprehensive_argwhere_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1380117Z test_comprehensive_argwhere_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1380432Z test_comprehensive_as_strided_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1380737Z test_comprehensive_as_strided_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1381056Z test_comprehensive_as_strided_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.1381382Z test_comprehensive_as_strided_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1381703Z test_comprehensive_as_strided_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.1382075Z test_comprehensive_as_strided_cpu_float16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1382396Z test_comprehensive_as_strided_cpu_float32 (__main__.TestDecompCPU) ... ok (0.033s) 2022-11-23T01:37:01.1382714Z test_comprehensive_as_strided_cpu_float64 (__main__.TestDecompCPU) ... ok (0.032s) 2022-11-23T01:37:01.1383013Z test_comprehensive_as_strided_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1383322Z test_comprehensive_as_strided_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1383631Z test_comprehensive_as_strided_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1383981Z test_comprehensive_as_strided_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1384275Z test_comprehensive_as_strided_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1384654Z test_comprehensive_as_strided_scatter_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.1385089Z test_comprehensive_as_strided_scatter_cpu_bool (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.1385525Z test_comprehensive_as_strided_scatter_cpu_complex128 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.1385950Z test_comprehensive_as_strided_scatter_cpu_complex32 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.1386385Z test_comprehensive_as_strided_scatter_cpu_complex64 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.1386822Z test_comprehensive_as_strided_scatter_cpu_float16 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.1387251Z test_comprehensive_as_strided_scatter_cpu_float32 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.1387668Z test_comprehensive_as_strided_scatter_cpu_float64 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.1388181Z test_comprehensive_as_strided_scatter_cpu_int16 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.1388781Z test_comprehensive_as_strided_scatter_cpu_int32 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.1389223Z test_comprehensive_as_strided_scatter_cpu_int64 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.1389632Z test_comprehensive_as_strided_scatter_cpu_int8 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.1390056Z test_comprehensive_as_strided_scatter_cpu_uint8 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.1390420Z test_comprehensive_asin_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1390726Z test_comprehensive_asin_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1391020Z test_comprehensive_asin_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.342s) 2022-11-23T01:37:01.1391331Z test_comprehensive_asin_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.350s) 2022-11-23T01:37:01.1391638Z test_comprehensive_asin_cpu_float32 (__main__.TestDecompCPU) ... ok (0.161s) 2022-11-23T01:37:01.1391929Z test_comprehensive_asin_cpu_float64 (__main__.TestDecompCPU) ... ok (0.157s) 2022-11-23T01:37:01.1392231Z test_comprehensive_asin_cpu_int16 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1392525Z test_comprehensive_asin_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1392816Z test_comprehensive_asin_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1393143Z test_comprehensive_asin_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1393439Z test_comprehensive_asin_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1393739Z test_comprehensive_asinh_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1394028Z test_comprehensive_asinh_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1394335Z test_comprehensive_asinh_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.269s) 2022-11-23T01:37:01.1394648Z test_comprehensive_asinh_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.275s) 2022-11-23T01:37:01.1394988Z test_comprehensive_asinh_cpu_float32 (__main__.TestDecompCPU) ... ok (0.121s) 2022-11-23T01:37:01.1395275Z test_comprehensive_asinh_cpu_float64 (__main__.TestDecompCPU) ... ok (0.119s) 2022-11-23T01:37:01.1395573Z test_comprehensive_asinh_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1395873Z test_comprehensive_asinh_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1396160Z test_comprehensive_asinh_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1396454Z test_comprehensive_asinh_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1396751Z test_comprehensive_asinh_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1397054Z test_comprehensive_atan2_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.071s) 2022-11-23T01:37:01.1397344Z test_comprehensive_atan2_cpu_bool (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.1397649Z test_comprehensive_atan2_cpu_float32 (__main__.TestDecompCPU) ... ok (1.228s) 2022-11-23T01:37:01.1397954Z test_comprehensive_atan2_cpu_float64 (__main__.TestDecompCPU) ... ok (1.209s) 2022-11-23T01:37:01.1398244Z test_comprehensive_atan2_cpu_int16 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.1398541Z test_comprehensive_atan2_cpu_int32 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.1398842Z test_comprehensive_atan2_cpu_int64 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.1399142Z test_comprehensive_atan2_cpu_int8 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.1399429Z test_comprehensive_atan2_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.051s) 2022-11-23T01:37:01.1399731Z test_comprehensive_atan_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1400032Z test_comprehensive_atan_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1400327Z test_comprehensive_atan_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.268s) 2022-11-23T01:37:01.1400641Z test_comprehensive_atan_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.273s) 2022-11-23T01:37:01.1400951Z test_comprehensive_atan_cpu_float32 (__main__.TestDecompCPU) ... ok (0.121s) 2022-11-23T01:37:01.1401252Z test_comprehensive_atan_cpu_float64 (__main__.TestDecompCPU) ... ok (0.119s) 2022-11-23T01:37:01.1401543Z test_comprehensive_atan_cpu_int16 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1401844Z test_comprehensive_atan_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1402141Z test_comprehensive_atan_cpu_int64 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1402422Z test_comprehensive_atan_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1402720Z test_comprehensive_atan_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1403025Z test_comprehensive_atanh_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1403330Z test_comprehensive_atanh_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1403628Z test_comprehensive_atanh_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.308s) 2022-11-23T01:37:01.1403944Z test_comprehensive_atanh_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.311s) 2022-11-23T01:37:01.1404259Z test_comprehensive_atanh_cpu_float32 (__main__.TestDecompCPU) ... ok (0.140s) 2022-11-23T01:37:01.1404588Z test_comprehensive_atanh_cpu_float64 (__main__.TestDecompCPU) ... ok (0.137s) 2022-11-23T01:37:01.1404890Z test_comprehensive_atanh_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1405191Z test_comprehensive_atanh_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1405492Z test_comprehensive_atanh_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1405777Z test_comprehensive_atanh_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1406078Z test_comprehensive_atanh_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1406426Z test_comprehensive_atleast_1d_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1406727Z test_comprehensive_atleast_1d_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1407043Z test_comprehensive_atleast_1d_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1407368Z test_comprehensive_atleast_1d_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1407690Z test_comprehensive_atleast_1d_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1407995Z test_comprehensive_atleast_1d_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1408311Z test_comprehensive_atleast_1d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.1408625Z test_comprehensive_atleast_1d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1408922Z test_comprehensive_atleast_1d_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1409229Z test_comprehensive_atleast_1d_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1409536Z test_comprehensive_atleast_1d_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1409840Z test_comprehensive_atleast_1d_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1410136Z test_comprehensive_atleast_1d_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1410443Z test_comprehensive_atleast_2d_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1410755Z test_comprehensive_atleast_2d_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1411061Z test_comprehensive_atleast_2d_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.1411383Z test_comprehensive_atleast_2d_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1411701Z test_comprehensive_atleast_2d_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.024s) 2022-11-23T01:37:01.1412015Z test_comprehensive_atleast_2d_cpu_float16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1412314Z test_comprehensive_atleast_2d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.1412627Z test_comprehensive_atleast_2d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1412935Z test_comprehensive_atleast_2d_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1413228Z test_comprehensive_atleast_2d_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1413534Z test_comprehensive_atleast_2d_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1413838Z test_comprehensive_atleast_2d_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1414146Z test_comprehensive_atleast_2d_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1414446Z test_comprehensive_atleast_3d_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.1414760Z test_comprehensive_atleast_3d_cpu_bool (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.1415076Z test_comprehensive_atleast_3d_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.053s) 2022-11-23T01:37:01.1415386Z test_comprehensive_atleast_3d_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.027s) 2022-11-23T01:37:01.1415746Z test_comprehensive_atleast_3d_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.056s) 2022-11-23T01:37:01.1416064Z test_comprehensive_atleast_3d_cpu_float16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.1416375Z test_comprehensive_atleast_3d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.036s) 2022-11-23T01:37:01.1416674Z test_comprehensive_atleast_3d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.034s) 2022-11-23T01:37:01.1416983Z test_comprehensive_atleast_3d_cpu_int16 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.1417292Z test_comprehensive_atleast_3d_cpu_int32 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.1417620Z test_comprehensive_atleast_3d_cpu_int64 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1417925Z test_comprehensive_atleast_3d_cpu_int8 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.1418232Z test_comprehensive_atleast_3d_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.1418541Z test_comprehensive_baddbmm_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.1418998Z test_comprehensive_baddbmm_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.412s) 2022-11-23T01:37:01.1419325Z test_comprehensive_baddbmm_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.433s) 2022-11-23T01:37:01.1419637Z test_comprehensive_baddbmm_cpu_float32 (__main__.TestDecompCPU) ... ok (0.300s) 2022-11-23T01:37:01.1419932Z test_comprehensive_baddbmm_cpu_float64 (__main__.TestDecompCPU) ... ok (0.297s) 2022-11-23T01:37:01.1420237Z test_comprehensive_baddbmm_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1420541Z test_comprehensive_baddbmm_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1420838Z test_comprehensive_baddbmm_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1421132Z test_comprehensive_baddbmm_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1421446Z test_comprehensive_baddbmm_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1421760Z test_comprehensive_bernoulli_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1422069Z test_comprehensive_bernoulli_cpu_float32 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1422382Z test_comprehensive_bernoulli_cpu_float64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1422693Z test_comprehensive_bfloat16_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1423000Z test_comprehensive_bfloat16_cpu_bool (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1423297Z test_comprehensive_bfloat16_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.1423613Z test_comprehensive_bfloat16_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1423926Z test_comprehensive_bfloat16_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.030s) 2022-11-23T01:37:01.1424229Z test_comprehensive_bfloat16_cpu_float16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1424532Z test_comprehensive_bfloat16_cpu_float32 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.1424840Z test_comprehensive_bfloat16_cpu_float64 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.1425149Z test_comprehensive_bfloat16_cpu_int16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1425437Z test_comprehensive_bfloat16_cpu_int32 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1425735Z test_comprehensive_bfloat16_cpu_int64 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1426042Z test_comprehensive_bfloat16_cpu_int8 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1426332Z test_comprehensive_bfloat16_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1426632Z test_comprehensive_bincount_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1426928Z test_comprehensive_bincount_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1427306Z test_comprehensive_bincount_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1427672Z test_comprehensive_bincount_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1427975Z test_comprehensive_bincount_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1428359Z test_comprehensive_bitwise_and_cpu_bool (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.1428662Z test_comprehensive_bitwise_and_cpu_int16 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1428970Z test_comprehensive_bitwise_and_cpu_int32 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1429335Z test_comprehensive_bitwise_and_cpu_int64 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.1429649Z test_comprehensive_bitwise_and_cpu_int8 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.1429948Z test_comprehensive_bitwise_and_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.1430267Z test_comprehensive_bitwise_left_shift_cpu_int16 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1430588Z test_comprehensive_bitwise_left_shift_cpu_int32 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.1430911Z test_comprehensive_bitwise_left_shift_cpu_int64 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.1431217Z test_comprehensive_bitwise_left_shift_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1431538Z test_comprehensive_bitwise_left_shift_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.1431854Z test_comprehensive_bitwise_not_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1432153Z test_comprehensive_bitwise_not_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1432464Z test_comprehensive_bitwise_not_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1432772Z test_comprehensive_bitwise_not_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1433082Z test_comprehensive_bitwise_not_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1433379Z test_comprehensive_bitwise_not_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1433690Z test_comprehensive_bitwise_or_cpu_bool (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.1433998Z test_comprehensive_bitwise_or_cpu_int16 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.1434293Z test_comprehensive_bitwise_or_cpu_int32 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.1434596Z test_comprehensive_bitwise_or_cpu_int64 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.1434903Z test_comprehensive_bitwise_or_cpu_int8 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.1435207Z test_comprehensive_bitwise_or_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1435519Z test_comprehensive_bitwise_right_shift_cpu_int16 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1435851Z test_comprehensive_bitwise_right_shift_cpu_int32 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.1436178Z test_comprehensive_bitwise_right_shift_cpu_int64 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.1436487Z test_comprehensive_bitwise_right_shift_cpu_int8 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.1436813Z test_comprehensive_bitwise_right_shift_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.1437137Z test_comprehensive_bitwise_xor_cpu_bool (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.1437442Z test_comprehensive_bitwise_xor_cpu_int16 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.1437746Z test_comprehensive_bitwise_xor_cpu_int32 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1438051Z test_comprehensive_bitwise_xor_cpu_int64 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.1438356Z test_comprehensive_bitwise_xor_cpu_int8 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.1438685Z test_comprehensive_bitwise_xor_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1438999Z test_comprehensive_block_diag_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1439312Z test_comprehensive_block_diag_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1439626Z test_comprehensive_block_diag_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.156s) 2022-11-23T01:37:01.1439933Z test_comprehensive_block_diag_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1440253Z test_comprehensive_block_diag_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.318s) 2022-11-23T01:37:01.1440603Z test_comprehensive_block_diag_cpu_float16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1440912Z test_comprehensive_block_diag_cpu_float32 (__main__.TestDecompCPU) ... ok (0.092s) 2022-11-23T01:37:01.1441228Z test_comprehensive_block_diag_cpu_float64 (__main__.TestDecompCPU) ... ok (0.088s) 2022-11-23T01:37:01.1441543Z test_comprehensive_block_diag_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1441858Z test_comprehensive_block_diag_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1442153Z test_comprehensive_block_diag_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1442458Z test_comprehensive_block_diag_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1442767Z test_comprehensive_block_diag_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1443060Z test_comprehensive_bmm_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1443369Z test_comprehensive_bmm_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.100s) 2022-11-23T01:37:01.1443675Z test_comprehensive_bmm_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.102s) 2022-11-23T01:37:01.1443978Z test_comprehensive_bmm_cpu_float32 (__main__.TestDecompCPU) ... ok (0.054s) 2022-11-23T01:37:01.1444268Z test_comprehensive_bmm_cpu_float64 (__main__.TestDecompCPU) ... ok (0.053s) 2022-11-23T01:37:01.1444569Z test_comprehensive_bmm_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1444865Z test_comprehensive_bmm_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1445143Z test_comprehensive_bmm_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1445436Z test_comprehensive_bmm_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1445731Z test_comprehensive_bmm_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1446038Z test_comprehensive_bool_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1446328Z test_comprehensive_bool_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1446632Z test_comprehensive_bool_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.1446949Z test_comprehensive_bool_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.1447245Z test_comprehensive_bool_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.1447558Z test_comprehensive_bool_cpu_float16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1447867Z test_comprehensive_bool_cpu_float32 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1448172Z test_comprehensive_bool_cpu_float64 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.1448463Z test_comprehensive_bool_cpu_int16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1448765Z test_comprehensive_bool_cpu_int32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1449070Z test_comprehensive_bool_cpu_int64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1449349Z test_comprehensive_bool_cpu_int8 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1449647Z test_comprehensive_bool_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1478322Z test_comprehensive_broadcast_shapes_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1478673Z test_comprehensive_broadcast_tensors_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1479019Z test_comprehensive_broadcast_tensors_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1479364Z test_comprehensive_broadcast_tensors_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.038s) 2022-11-23T01:37:01.1479710Z test_comprehensive_broadcast_tensors_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.040s) 2022-11-23T01:37:01.1480035Z test_comprehensive_broadcast_tensors_cpu_float16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1480424Z test_comprehensive_broadcast_tensors_cpu_float32 (__main__.TestDecompCPU) ... ok (0.025s) 2022-11-23T01:37:01.1480753Z test_comprehensive_broadcast_tensors_cpu_float64 (__main__.TestDecompCPU) ... ok (0.024s) 2022-11-23T01:37:01.1481070Z test_comprehensive_broadcast_tensors_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1481402Z test_comprehensive_broadcast_tensors_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1481727Z test_comprehensive_broadcast_tensors_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1482061Z test_comprehensive_broadcast_tensors_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1482376Z test_comprehensive_broadcast_tensors_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1482707Z test_comprehensive_broadcast_to_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1483033Z test_comprehensive_broadcast_to_cpu_bool (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1483345Z test_comprehensive_broadcast_to_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.095s) 2022-11-23T01:37:01.1483675Z test_comprehensive_broadcast_to_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.099s) 2022-11-23T01:37:01.1484002Z test_comprehensive_broadcast_to_cpu_float16 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.1484328Z test_comprehensive_broadcast_to_cpu_float32 (__main__.TestDecompCPU) ... ok (0.058s) 2022-11-23T01:37:01.1484637Z test_comprehensive_broadcast_to_cpu_float64 (__main__.TestDecompCPU) ... ok (0.056s) 2022-11-23T01:37:01.1484955Z test_comprehensive_broadcast_to_cpu_int16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1485272Z test_comprehensive_broadcast_to_cpu_int32 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1485573Z test_comprehensive_broadcast_to_cpu_int64 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1485893Z test_comprehensive_broadcast_to_cpu_int8 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1486209Z test_comprehensive_broadcast_to_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1486523Z test_comprehensive_bucketize_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.1486829Z test_comprehensive_bucketize_cpu_float16 (__main__.TestDecompCPU) ... ok (0.062s) 2022-11-23T01:37:01.1487145Z test_comprehensive_bucketize_cpu_float32 (__main__.TestDecompCPU) ... ok (0.101s) 2022-11-23T01:37:01.1487456Z test_comprehensive_bucketize_cpu_float64 (__main__.TestDecompCPU) ... ok (0.099s) 2022-11-23T01:37:01.1487755Z test_comprehensive_bucketize_cpu_int16 (__main__.TestDecompCPU) ... ok (0.059s) 2022-11-23T01:37:01.1488066Z test_comprehensive_bucketize_cpu_int32 (__main__.TestDecompCPU) ... ok (0.059s) 2022-11-23T01:37:01.1488377Z test_comprehensive_bucketize_cpu_int64 (__main__.TestDecompCPU) ... ok (0.059s) 2022-11-23T01:37:01.1488690Z test_comprehensive_bucketize_cpu_int8 (__main__.TestDecompCPU) ... ok (0.059s) 2022-11-23T01:37:01.1488992Z test_comprehensive_bucketize_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.059s) 2022-11-23T01:37:01.1489301Z test_comprehensive_byte_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1489635Z test_comprehensive_byte_cpu_bool (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1489929Z test_comprehensive_byte_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.1490240Z test_comprehensive_byte_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.1490546Z test_comprehensive_byte_cpu_float16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1490847Z test_comprehensive_byte_cpu_float32 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1491138Z test_comprehensive_byte_cpu_float64 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.1491438Z test_comprehensive_byte_cpu_int16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1491768Z test_comprehensive_byte_cpu_int32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1492049Z test_comprehensive_byte_cpu_int64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1492344Z test_comprehensive_byte_cpu_int8 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1492646Z test_comprehensive_byte_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1492961Z test_comprehensive_cartesian_prod_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.1493276Z test_comprehensive_cartesian_prod_cpu_bool (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.1493610Z test_comprehensive_cartesian_prod_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.077s) 2022-11-23T01:37:01.1493948Z test_comprehensive_cartesian_prod_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.082s) 2022-11-23T01:37:01.1494265Z test_comprehensive_cartesian_prod_cpu_float16 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.1494594Z test_comprehensive_cartesian_prod_cpu_float32 (__main__.TestDecompCPU) ... ok (0.057s) 2022-11-23T01:37:01.1494921Z test_comprehensive_cartesian_prod_cpu_float64 (__main__.TestDecompCPU) ... ok (0.054s) 2022-11-23T01:37:01.1495248Z test_comprehensive_cartesian_prod_cpu_int16 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.1495559Z test_comprehensive_cartesian_prod_cpu_int32 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.1495877Z test_comprehensive_cartesian_prod_cpu_int64 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.1496201Z test_comprehensive_cartesian_prod_cpu_int8 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.1496524Z test_comprehensive_cartesian_prod_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.1496823Z test_comprehensive_cat_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1497125Z test_comprehensive_cat_cpu_bool (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1497432Z test_comprehensive_cat_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.132s) 2022-11-23T01:37:01.1497730Z test_comprehensive_cat_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.056s) 2022-11-23T01:37:01.1498040Z test_comprehensive_cat_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.137s) 2022-11-23T01:37:01.1498348Z test_comprehensive_cat_cpu_float16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1498650Z test_comprehensive_cat_cpu_float32 (__main__.TestDecompCPU) ... ok (0.079s) 2022-11-23T01:37:01.1499091Z test_comprehensive_cat_cpu_float64 (__main__.TestDecompCPU) ... ok (0.076s) 2022-11-23T01:37:01.1499392Z test_comprehensive_cat_cpu_int16 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1499688Z test_comprehensive_cat_cpu_int32 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1499967Z test_comprehensive_cat_cpu_int64 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1500266Z test_comprehensive_cat_cpu_int8 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1500563Z test_comprehensive_cat_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1500848Z test_comprehensive_cdist_cpu_float32 (__main__.TestDecompCPU) ... ok (3.436s) 2022-11-23T01:37:01.1501201Z test_comprehensive_cdist_cpu_float64 (__main__.TestDecompCPU) ... ok (3.344s) 2022-11-23T01:37:01.1501513Z test_comprehensive_cdouble_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.1501826Z test_comprehensive_cdouble_cpu_bool (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1502130Z test_comprehensive_cdouble_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1502453Z test_comprehensive_cdouble_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1502771Z test_comprehensive_cdouble_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.036s) 2022-11-23T01:37:01.1503080Z test_comprehensive_cdouble_cpu_float16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1503422Z test_comprehensive_cdouble_cpu_float32 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.1503729Z test_comprehensive_cdouble_cpu_float64 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.1504027Z test_comprehensive_cdouble_cpu_int16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1504320Z test_comprehensive_cdouble_cpu_int32 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1504619Z test_comprehensive_cdouble_cpu_int64 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1504920Z test_comprehensive_cdouble_cpu_int8 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1505212Z test_comprehensive_cdouble_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1505507Z test_comprehensive_ceil_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1505803Z test_comprehensive_ceil_cpu_float32 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.1506111Z test_comprehensive_ceil_cpu_float64 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.1506398Z test_comprehensive_ceil_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1506697Z test_comprehensive_ceil_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1506994Z test_comprehensive_ceil_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1507276Z test_comprehensive_ceil_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1507575Z test_comprehensive_ceil_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1507880Z test_comprehensive_cfloat_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.1508262Z test_comprehensive_cfloat_cpu_bool (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1508561Z test_comprehensive_cfloat_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.036s) 2022-11-23T01:37:01.1508881Z test_comprehensive_cfloat_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.1509199Z test_comprehensive_cfloat_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1509499Z test_comprehensive_cfloat_cpu_float16 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.1509813Z test_comprehensive_cfloat_cpu_float32 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1510118Z test_comprehensive_cfloat_cpu_float64 (__main__.TestDecompCPU) ... ok (0.024s) 2022-11-23T01:37:01.1510428Z test_comprehensive_cfloat_cpu_int16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1510714Z test_comprehensive_cfloat_cpu_int32 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1511015Z test_comprehensive_cfloat_cpu_int64 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1511317Z test_comprehensive_cfloat_cpu_int8 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1511605Z test_comprehensive_cfloat_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1511909Z test_comprehensive_chalf_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.1512213Z test_comprehensive_chalf_cpu_bool (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1512521Z test_comprehensive_chalf_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.036s) 2022-11-23T01:37:01.1512856Z test_comprehensive_chalf_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1513172Z test_comprehensive_chalf_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.037s) 2022-11-23T01:37:01.1513480Z test_comprehensive_chalf_cpu_float16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.1513775Z test_comprehensive_chalf_cpu_float32 (__main__.TestDecompCPU) ... ok (0.024s) 2022-11-23T01:37:01.1514084Z test_comprehensive_chalf_cpu_float64 (__main__.TestDecompCPU) ... ok (0.024s) 2022-11-23T01:37:01.1514384Z test_comprehensive_chalf_cpu_int16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1514717Z test_comprehensive_chalf_cpu_int32 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1515001Z test_comprehensive_chalf_cpu_int64 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1515299Z test_comprehensive_chalf_cpu_int8 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1515600Z test_comprehensive_chalf_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1515891Z test_comprehensive_char_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1516188Z test_comprehensive_char_cpu_bool (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1516491Z test_comprehensive_char_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.1516801Z test_comprehensive_char_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.1517096Z test_comprehensive_char_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.1517401Z test_comprehensive_char_cpu_float16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1517704Z test_comprehensive_char_cpu_float32 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1517994Z test_comprehensive_char_cpu_float64 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.1518300Z test_comprehensive_char_cpu_int16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1518602Z test_comprehensive_char_cpu_int32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1518894Z test_comprehensive_char_cpu_int64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1519174Z test_comprehensive_char_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1519477Z test_comprehensive_char_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1519788Z test_comprehensive_cholesky_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.474s) 2022-11-23T01:37:01.1520099Z test_comprehensive_cholesky_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.488s) 2022-11-23T01:37:01.1520417Z test_comprehensive_cholesky_cpu_float32 (__main__.TestDecompCPU) ... ok (0.297s) 2022-11-23T01:37:01.1520730Z test_comprehensive_cholesky_cpu_float64 (__main__.TestDecompCPU) ... ok (0.285s) 2022-11-23T01:37:01.1521055Z test_comprehensive_cholesky_inverse_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.542s) 2022-11-23T01:37:01.1521380Z test_comprehensive_cholesky_inverse_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.544s) 2022-11-23T01:37:01.1521718Z test_comprehensive_cholesky_inverse_cpu_float32 (__main__.TestDecompCPU) ... ok (0.306s) 2022-11-23T01:37:01.1522043Z test_comprehensive_cholesky_inverse_cpu_float64 (__main__.TestDecompCPU) ... ok (0.299s) 2022-11-23T01:37:01.1522360Z test_comprehensive_cholesky_solve_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.465s) 2022-11-23T01:37:01.1522693Z test_comprehensive_cholesky_solve_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.474s) 2022-11-23T01:37:01.1523023Z test_comprehensive_cholesky_solve_cpu_float32 (__main__.TestDecompCPU) ... ok (0.262s) 2022-11-23T01:37:01.1523351Z test_comprehensive_cholesky_solve_cpu_float64 (__main__.TestDecompCPU) ... ok (0.255s) 2022-11-23T01:37:01.1523657Z test_comprehensive_chunk_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1523963Z test_comprehensive_chunk_cpu_bool (__main__.TestDecompCPU) ... ok (0.061s) 2022-11-23T01:37:01.1524303Z test_comprehensive_chunk_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.229s) 2022-11-23T01:37:01.1524606Z test_comprehensive_chunk_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.172s) 2022-11-23T01:37:01.1524922Z test_comprehensive_chunk_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.241s) 2022-11-23T01:37:01.1525229Z test_comprehensive_chunk_cpu_float16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1525537Z test_comprehensive_chunk_cpu_float32 (__main__.TestDecompCPU) ... ok (0.131s) 2022-11-23T01:37:01.1525830Z test_comprehensive_chunk_cpu_float64 (__main__.TestDecompCPU) ... ok (0.129s) 2022-11-23T01:37:01.1526160Z test_comprehensive_chunk_cpu_int16 (__main__.TestDecompCPU) ... ok (0.062s) 2022-11-23T01:37:01.1526461Z test_comprehensive_chunk_cpu_int32 (__main__.TestDecompCPU) ... ok (0.062s) 2022-11-23T01:37:01.1526748Z test_comprehensive_chunk_cpu_int64 (__main__.TestDecompCPU) ... ok (0.061s) 2022-11-23T01:37:01.1527053Z test_comprehensive_chunk_cpu_int8 (__main__.TestDecompCPU) ... ok (0.063s) 2022-11-23T01:37:01.1527355Z test_comprehensive_chunk_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.061s) 2022-11-23T01:37:01.1527665Z test_comprehensive_clamp_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.275s) 2022-11-23T01:37:01.1527961Z test_comprehensive_clamp_cpu_float32 (__main__.TestDecompCPU) ... ok (0.958s) 2022-11-23T01:37:01.1528265Z test_comprehensive_clamp_cpu_float64 (__main__.TestDecompCPU) ... ok (0.945s) 2022-11-23T01:37:01.1528570Z test_comprehensive_clamp_cpu_int16 (__main__.TestDecompCPU) ... ok (0.091s) 2022-11-23T01:37:01.1528860Z test_comprehensive_clamp_cpu_int32 (__main__.TestDecompCPU) ... ok (0.096s) 2022-11-23T01:37:01.1529158Z test_comprehensive_clamp_cpu_int64 (__main__.TestDecompCPU) ... ok (0.095s) 2022-11-23T01:37:01.1529459Z test_comprehensive_clamp_cpu_int8 (__main__.TestDecompCPU) ... ok (0.091s) 2022-11-23T01:37:01.1529765Z test_comprehensive_clamp_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.111s) 2022-11-23T01:37:01.1530064Z test_comprehensive_clamp_max_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.120s) 2022-11-23T01:37:01.1530381Z test_comprehensive_clamp_max_cpu_bool (__main__.TestDecompCPU) ... ok (0.046s) 2022-11-23T01:37:01.1530692Z test_comprehensive_clamp_max_cpu_float16 (__main__.TestDecompCPU) ... ok (0.110s) 2022-11-23T01:37:01.1530994Z test_comprehensive_clamp_max_cpu_float32 (__main__.TestDecompCPU) ... ok (0.643s) 2022-11-23T01:37:01.1531306Z test_comprehensive_clamp_max_cpu_float64 (__main__.TestDecompCPU) ... ok (0.628s) 2022-11-23T01:37:01.1531620Z test_comprehensive_clamp_max_cpu_int16 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.1531934Z test_comprehensive_clamp_max_cpu_int32 (__main__.TestDecompCPU) ... ok (0.046s) 2022-11-23T01:37:01.1532228Z test_comprehensive_clamp_max_cpu_int64 (__main__.TestDecompCPU) ... ok (0.046s) 2022-11-23T01:37:01.1532538Z test_comprehensive_clamp_max_cpu_int8 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.1532849Z test_comprehensive_clamp_max_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.1533148Z test_comprehensive_clamp_min_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.108s) 2022-11-23T01:37:01.1533463Z test_comprehensive_clamp_min_cpu_bool (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.1533778Z test_comprehensive_clamp_min_cpu_float16 (__main__.TestDecompCPU) ... ok (0.111s) 2022-11-23T01:37:01.1534091Z test_comprehensive_clamp_min_cpu_float32 (__main__.TestDecompCPU) ... ok (0.642s) 2022-11-23T01:37:01.1534385Z test_comprehensive_clamp_min_cpu_float64 (__main__.TestDecompCPU) ... ok (0.631s) 2022-11-23T01:37:01.1534697Z test_comprehensive_clamp_min_cpu_int16 (__main__.TestDecompCPU) ... ok (0.046s) 2022-11-23T01:37:01.1535007Z test_comprehensive_clamp_min_cpu_int32 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.1535297Z test_comprehensive_clamp_min_cpu_int64 (__main__.TestDecompCPU) ... ok (0.046s) 2022-11-23T01:37:01.1535636Z test_comprehensive_clamp_min_cpu_int8 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.1535947Z test_comprehensive_clamp_min_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.1536253Z test_comprehensive_clone_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1536543Z test_comprehensive_clone_cpu_bool (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1536854Z test_comprehensive_clone_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.030s) 2022-11-23T01:37:01.1537170Z test_comprehensive_clone_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.035s) 2022-11-23T01:37:01.1537494Z test_comprehensive_clone_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.038s) 2022-11-23T01:37:01.1537801Z test_comprehensive_clone_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1538104Z test_comprehensive_clone_cpu_float32 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.1538411Z test_comprehensive_clone_cpu_float64 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.1538699Z test_comprehensive_clone_cpu_int16 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.1539118Z test_comprehensive_clone_cpu_int32 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1539419Z test_comprehensive_clone_cpu_int64 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1539702Z test_comprehensive_clone_cpu_int8 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1540008Z test_comprehensive_clone_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1540323Z test_comprehensive_column_stack_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1540650Z test_comprehensive_column_stack_cpu_bool (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.1540962Z test_comprehensive_column_stack_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.057s) 2022-11-23T01:37:01.1541294Z test_comprehensive_column_stack_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.026s) 2022-11-23T01:37:01.1541619Z test_comprehensive_column_stack_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.059s) 2022-11-23T01:37:01.1541931Z test_comprehensive_column_stack_cpu_float16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1542252Z test_comprehensive_column_stack_cpu_float32 (__main__.TestDecompCPU) ... ok (0.036s) 2022-11-23T01:37:01.1542570Z test_comprehensive_column_stack_cpu_float64 (__main__.TestDecompCPU) ... ok (0.034s) 2022-11-23T01:37:01.1542889Z test_comprehensive_column_stack_cpu_int16 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.1543191Z test_comprehensive_column_stack_cpu_int32 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.1543510Z test_comprehensive_column_stack_cpu_int64 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1543825Z test_comprehensive_column_stack_cpu_int8 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.1544128Z test_comprehensive_column_stack_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1544451Z test_comprehensive_combinations_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.344s) 2022-11-23T01:37:01.1544775Z test_comprehensive_combinations_cpu_bool (__main__.TestDecompCPU) ... ok (0.465s) 2022-11-23T01:37:01.1545099Z test_comprehensive_combinations_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.131s) 2022-11-23T01:37:01.1545421Z test_comprehensive_combinations_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.163s) 2022-11-23T01:37:01.1545745Z test_comprehensive_combinations_cpu_float16 (__main__.TestDecompCPU) ... ok (0.346s) 2022-11-23T01:37:01.1546071Z test_comprehensive_combinations_cpu_float32 (__main__.TestDecompCPU) ... ok (0.972s) 2022-11-23T01:37:01.1546381Z test_comprehensive_combinations_cpu_float64 (__main__.TestDecompCPU) ... ok (0.948s) 2022-11-23T01:37:01.1546701Z test_comprehensive_combinations_cpu_int16 (__main__.TestDecompCPU) ... ok (0.464s) 2022-11-23T01:37:01.1547087Z test_comprehensive_combinations_cpu_int32 (__main__.TestDecompCPU) ... ok (0.463s) 2022-11-23T01:37:01.1547405Z test_comprehensive_combinations_cpu_int64 (__main__.TestDecompCPU) ... ok (0.461s) 2022-11-23T01:37:01.1547707Z test_comprehensive_combinations_cpu_int8 (__main__.TestDecompCPU) ... ok (0.464s) 2022-11-23T01:37:01.1548021Z test_comprehensive_combinations_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.464s) 2022-11-23T01:37:01.1548399Z test_comprehensive_complex_cpu_float16 (__main__.TestDecompCPU) ... ok (0.057s) 2022-11-23T01:37:01.1548718Z test_comprehensive_complex_cpu_float32 (__main__.TestDecompCPU) ... ok (0.225s) 2022-11-23T01:37:01.1549055Z test_comprehensive_complex_cpu_float64 (__main__.TestDecompCPU) ... ok (0.223s) 2022-11-23T01:37:01.1549361Z test_comprehensive_conj_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1549664Z test_comprehensive_conj_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1549953Z test_comprehensive_conj_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.1550261Z test_comprehensive_conj_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1550573Z test_comprehensive_conj_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.1550866Z test_comprehensive_conj_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1551167Z test_comprehensive_conj_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1551466Z test_comprehensive_conj_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1551770Z test_comprehensive_conj_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1552059Z test_comprehensive_conj_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1552355Z test_comprehensive_conj_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1552648Z test_comprehensive_conj_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1552936Z test_comprehensive_conj_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1553245Z test_comprehensive_conj_physical_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1553568Z test_comprehensive_conj_physical_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1553896Z test_comprehensive_conj_physical_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1554213Z test_comprehensive_conj_physical_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1554544Z test_comprehensive_conj_physical_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1554872Z test_comprehensive_conj_physical_cpu_float16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1555195Z test_comprehensive_conj_physical_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1555504Z test_comprehensive_conj_physical_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1555827Z test_comprehensive_conj_physical_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1556141Z test_comprehensive_conj_physical_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1556434Z test_comprehensive_conj_physical_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1556755Z test_comprehensive_conj_physical_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1557068Z test_comprehensive_conj_physical_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1557392Z test_comprehensive_constant_pad_nd_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.064s) 2022-11-23T01:37:01.1557711Z test_comprehensive_constant_pad_nd_cpu_bool (__main__.TestDecompCPU) ... ok (0.137s) 2022-11-23T01:37:01.1558041Z test_comprehensive_constant_pad_nd_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.996s) 2022-11-23T01:37:01.1558409Z test_comprehensive_constant_pad_nd_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.008s) 2022-11-23T01:37:01.1558728Z test_comprehensive_constant_pad_nd_cpu_float16 (__main__.TestDecompCPU) ... ok (0.065s) 2022-11-23T01:37:01.1559054Z test_comprehensive_constant_pad_nd_cpu_float32 (__main__.TestDecompCPU) ... ok (0.575s) 2022-11-23T01:37:01.1559485Z test_comprehensive_constant_pad_nd_cpu_float64 (__main__.TestDecompCPU) ... ok (0.561s) 2022-11-23T01:37:01.1559813Z test_comprehensive_constant_pad_nd_cpu_int16 (__main__.TestDecompCPU) ... ok (0.138s) 2022-11-23T01:37:01.1560124Z test_comprehensive_constant_pad_nd_cpu_int32 (__main__.TestDecompCPU) ... ok (0.138s) 2022-11-23T01:37:01.1560486Z test_comprehensive_constant_pad_nd_cpu_int64 (__main__.TestDecompCPU) ... ok (0.136s) 2022-11-23T01:37:01.1560811Z test_comprehensive_constant_pad_nd_cpu_int8 (__main__.TestDecompCPU) ... ok (0.138s) 2022-11-23T01:37:01.1561122Z test_comprehensive_constant_pad_nd_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.138s) 2022-11-23T01:37:01.1561445Z test_comprehensive_contiguous_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1561765Z test_comprehensive_contiguous_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1562083Z test_comprehensive_contiguous_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1562391Z test_comprehensive_contiguous_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1562713Z test_comprehensive_contiguous_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1563039Z test_comprehensive_contiguous_cpu_float16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1563348Z test_comprehensive_contiguous_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1563665Z test_comprehensive_contiguous_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1563984Z test_comprehensive_contiguous_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1564298Z test_comprehensive_contiguous_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1564598Z test_comprehensive_contiguous_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1564913Z test_comprehensive_contiguous_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1565226Z test_comprehensive_contiguous_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1565527Z test_comprehensive_copysign_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.062s) 2022-11-23T01:37:01.1565841Z test_comprehensive_copysign_cpu_bool (__main__.TestDecompCPU) ... ok (0.055s) 2022-11-23T01:37:01.1566156Z test_comprehensive_copysign_cpu_float16 (__main__.TestDecompCPU) ... ok (0.064s) 2022-11-23T01:37:01.1566469Z test_comprehensive_copysign_cpu_float32 (__main__.TestDecompCPU) ... ok (0.576s) 2022-11-23T01:37:01.1566766Z test_comprehensive_copysign_cpu_float64 (__main__.TestDecompCPU) ... ok (0.579s) 2022-11-23T01:37:01.1567085Z test_comprehensive_copysign_cpu_int16 (__main__.TestDecompCPU) ... ok (0.055s) 2022-11-23T01:37:01.1567397Z test_comprehensive_copysign_cpu_int32 (__main__.TestDecompCPU) ... ok (0.055s) 2022-11-23T01:37:01.1567694Z test_comprehensive_copysign_cpu_int64 (__main__.TestDecompCPU) ... ok (0.055s) 2022-11-23T01:37:01.1568003Z test_comprehensive_copysign_cpu_int8 (__main__.TestDecompCPU) ... ok (0.055s) 2022-11-23T01:37:01.1568314Z test_comprehensive_copysign_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.055s) 2022-11-23T01:37:01.1568629Z test_comprehensive_corrcoef_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.100s) 2022-11-23T01:37:01.1568938Z test_comprehensive_corrcoef_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.528s) 2022-11-23T01:37:01.1569264Z test_comprehensive_corrcoef_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.556s) 2022-11-23T01:37:01.1569583Z test_comprehensive_corrcoef_cpu_float32 (__main__.TestDecompCPU) ... ok (0.321s) 2022-11-23T01:37:01.1569879Z test_comprehensive_corrcoef_cpu_float64 (__main__.TestDecompCPU) ... ok (0.308s) 2022-11-23T01:37:01.1570229Z test_comprehensive_corrcoef_cpu_int16 (__main__.TestDecompCPU) ... ok (0.088s) 2022-11-23T01:37:01.1570542Z test_comprehensive_corrcoef_cpu_int32 (__main__.TestDecompCPU) ... ok (0.088s) 2022-11-23T01:37:01.1570849Z test_comprehensive_corrcoef_cpu_int64 (__main__.TestDecompCPU) ... ok (0.087s) 2022-11-23T01:37:01.1571143Z test_comprehensive_corrcoef_cpu_int8 (__main__.TestDecompCPU) ... ok (0.087s) 2022-11-23T01:37:01.1571453Z test_comprehensive_corrcoef_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.089s) 2022-11-23T01:37:01.1571758Z test_comprehensive_cos_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.1572086Z test_comprehensive_cos_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1572393Z test_comprehensive_cos_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.041s) 2022-11-23T01:37:01.1572702Z test_comprehensive_cos_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.045s) 2022-11-23T01:37:01.1573008Z test_comprehensive_cos_cpu_float32 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.1573296Z test_comprehensive_cos_cpu_float64 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.1573596Z test_comprehensive_cos_cpu_int16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1573895Z test_comprehensive_cos_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1574174Z test_comprehensive_cos_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1574466Z test_comprehensive_cos_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1574765Z test_comprehensive_cos_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1575071Z test_comprehensive_cosh_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1575361Z test_comprehensive_cosh_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1575668Z test_comprehensive_cosh_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.034s) 2022-11-23T01:37:01.1575983Z test_comprehensive_cosh_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.036s) 2022-11-23T01:37:01.1576276Z test_comprehensive_cosh_cpu_float32 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1576582Z test_comprehensive_cosh_cpu_float64 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.1576881Z test_comprehensive_cosh_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1577183Z test_comprehensive_cosh_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1577465Z test_comprehensive_cosh_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1577767Z test_comprehensive_cosh_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1578064Z test_comprehensive_cosh_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1578362Z test_comprehensive_count_nonzero_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1578688Z test_comprehensive_count_nonzero_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1579132Z test_comprehensive_count_nonzero_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1579467Z test_comprehensive_count_nonzero_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1579782Z test_comprehensive_count_nonzero_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1580105Z test_comprehensive_count_nonzero_cpu_float32 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1580425Z test_comprehensive_count_nonzero_cpu_float64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1580733Z test_comprehensive_count_nonzero_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1581051Z test_comprehensive_count_nonzero_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1581364Z test_comprehensive_count_nonzero_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1581734Z test_comprehensive_count_nonzero_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1582038Z test_comprehensive_count_nonzero_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1582350Z test_comprehensive_cov_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.672s) 2022-11-23T01:37:01.1582659Z test_comprehensive_cov_cpu_complex128 (__main__.TestDecompCPU) ... ok (3.303s) 2022-11-23T01:37:01.1582954Z test_comprehensive_cov_cpu_complex64 (__main__.TestDecompCPU) ... ok (3.505s) 2022-11-23T01:37:01.1583259Z test_comprehensive_cov_cpu_float32 (__main__.TestDecompCPU) ... ok (2.265s) 2022-11-23T01:37:01.1583598Z test_comprehensive_cov_cpu_float64 (__main__.TestDecompCPU) ... ok (2.184s) 2022-11-23T01:37:01.1583895Z test_comprehensive_cov_cpu_int16 (__main__.TestDecompCPU) ... ok (0.972s) 2022-11-23T01:37:01.1584176Z test_comprehensive_cov_cpu_int32 (__main__.TestDecompCPU) ... ok (0.973s) 2022-11-23T01:37:01.1584471Z test_comprehensive_cov_cpu_int64 (__main__.TestDecompCPU) ... ok (0.969s) 2022-11-23T01:37:01.1584765Z test_comprehensive_cov_cpu_int8 (__main__.TestDecompCPU) ... ok (0.973s) 2022-11-23T01:37:01.1585049Z test_comprehensive_cov_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.975s) 2022-11-23T01:37:01.1585349Z test_comprehensive_cross_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1585663Z test_comprehensive_cross_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.039s) 2022-11-23T01:37:01.1585981Z test_comprehensive_cross_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.041s) 2022-11-23T01:37:01.1586278Z test_comprehensive_cross_cpu_float32 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1586586Z test_comprehensive_cross_cpu_float64 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1586892Z test_comprehensive_cross_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1587185Z test_comprehensive_cross_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1587488Z test_comprehensive_cross_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1587789Z test_comprehensive_cross_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1588155Z test_comprehensive_cross_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1588455Z test_comprehensive_cummax_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1588762Z test_comprehensive_cummax_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1589066Z test_comprehensive_cummax_cpu_float32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1589363Z test_comprehensive_cummax_cpu_float64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1589671Z test_comprehensive_cummax_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1589978Z test_comprehensive_cummax_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1590285Z test_comprehensive_cummax_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1590575Z test_comprehensive_cummax_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1590884Z test_comprehensive_cummax_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1591191Z test_comprehensive_cummin_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1591481Z test_comprehensive_cummin_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1591785Z test_comprehensive_cummin_cpu_float32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1592095Z test_comprehensive_cummin_cpu_float64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1592405Z test_comprehensive_cummin_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1592693Z test_comprehensive_cummin_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1592992Z test_comprehensive_cummin_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1593330Z test_comprehensive_cummin_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1593619Z test_comprehensive_cummin_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1593932Z test_comprehensive_cumprod_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.178s) 2022-11-23T01:37:01.1594251Z test_comprehensive_cumprod_cpu_complex128 (__main__.TestDecompCPU) ... ok (4.061s) 2022-11-23T01:37:01.1594575Z test_comprehensive_cumprod_cpu_complex64 (__main__.TestDecompCPU) ... ok (4.156s) 2022-11-23T01:37:01.1594876Z test_comprehensive_cumprod_cpu_float32 (__main__.TestDecompCPU) ... ok (2.037s) 2022-11-23T01:37:01.1595222Z test_comprehensive_cumprod_cpu_float64 (__main__.TestDecompCPU) ... ok (1.989s) 2022-11-23T01:37:01.1595532Z test_comprehensive_cumprod_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1595827Z test_comprehensive_cumprod_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1596133Z test_comprehensive_cumprod_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1596436Z test_comprehensive_cumprod_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1596746Z test_comprehensive_cumprod_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1597039Z test_comprehensive_cumsum_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.1597353Z test_comprehensive_cumsum_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.179s) 2022-11-23T01:37:01.1597669Z test_comprehensive_cumsum_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.181s) 2022-11-23T01:37:01.1597972Z test_comprehensive_cumsum_cpu_float32 (__main__.TestDecompCPU) ... ok (0.100s) 2022-11-23T01:37:01.1598280Z test_comprehensive_cumsum_cpu_float64 (__main__.TestDecompCPU) ... ok (0.099s) 2022-11-23T01:37:01.1598586Z test_comprehensive_cumsum_cpu_int16 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1598893Z test_comprehensive_cumsum_cpu_int32 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1599183Z test_comprehensive_cumsum_cpu_int64 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.1599484Z test_comprehensive_cumsum_cpu_int8 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1599781Z test_comprehensive_cumsum_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1600096Z test_comprehensive_cumulative_trapezoid_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.095s) 2022-11-23T01:37:01.1600451Z test_comprehensive_cumulative_trapezoid_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.602s) 2022-11-23T01:37:01.1600808Z test_comprehensive_cumulative_trapezoid_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.641s) 2022-11-23T01:37:01.1601159Z test_comprehensive_cumulative_trapezoid_cpu_float32 (__main__.TestDecompCPU) ... ok (0.381s) 2022-11-23T01:37:01.1601491Z test_comprehensive_cumulative_trapezoid_cpu_float64 (__main__.TestDecompCPU) ... ok (0.356s) 2022-11-23T01:37:01.1601830Z test_comprehensive_cumulative_trapezoid_cpu_int16 (__main__.TestDecompCPU) ... ok (0.073s) 2022-11-23T01:37:01.1602165Z test_comprehensive_cumulative_trapezoid_cpu_int32 (__main__.TestDecompCPU) ... ok (0.076s) 2022-11-23T01:37:01.1602483Z test_comprehensive_cumulative_trapezoid_cpu_int64 (__main__.TestDecompCPU) ... ok (0.071s) 2022-11-23T01:37:01.1602815Z test_comprehensive_cumulative_trapezoid_cpu_int8 (__main__.TestDecompCPU) ... ok (0.076s) 2022-11-23T01:37:01.1603154Z test_comprehensive_cumulative_trapezoid_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.074s) 2022-11-23T01:37:01.1603483Z test_comprehensive_deg2rad_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1603784Z test_comprehensive_deg2rad_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1604097Z test_comprehensive_deg2rad_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1604416Z test_comprehensive_deg2rad_cpu_float32 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.1604762Z test_comprehensive_deg2rad_cpu_float64 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.1605058Z test_comprehensive_deg2rad_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1605368Z test_comprehensive_deg2rad_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1605676Z test_comprehensive_deg2rad_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1605970Z test_comprehensive_deg2rad_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1606278Z test_comprehensive_deg2rad_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1606670Z test_comprehensive_diag_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: diag in torch.bfloat16 not supported (0.001s) 2022-11-23T01:37:01.1607057Z test_comprehensive_diag_cpu_bool (__main__.TestDecompCPU) ... skip: diag in torch.bool not supported (0.001s) 2022-11-23T01:37:01.1607441Z test_comprehensive_diag_cpu_complex128 (__main__.TestDecompCPU) ... skip: diag in torch.complex128 not supported (0.001s) 2022-11-23T01:37:01.1607850Z test_comprehensive_diag_cpu_complex64 (__main__.TestDecompCPU) ... skip: diag in torch.complex64 not supported (0.001s) 2022-11-23T01:37:01.1608242Z test_comprehensive_diag_cpu_float16 (__main__.TestDecompCPU) ... skip: diag in torch.float16 not supported (0.001s) 2022-11-23T01:37:01.1608624Z test_comprehensive_diag_cpu_float32 (__main__.TestDecompCPU) ... skip: diag in torch.float32 not supported (0.001s) 2022-11-23T01:37:01.1608986Z test_comprehensive_diag_cpu_float64 (__main__.TestDecompCPU) ... skip: diag in torch.float64 not supported (0.001s) 2022-11-23T01:37:01.1609369Z test_comprehensive_diag_cpu_int16 (__main__.TestDecompCPU) ... skip: diag in torch.int16 not supported (0.001s) 2022-11-23T01:37:01.1609745Z test_comprehensive_diag_cpu_int32 (__main__.TestDecompCPU) ... skip: diag in torch.int32 not supported (0.001s) 2022-11-23T01:37:01.1610108Z test_comprehensive_diag_cpu_int64 (__main__.TestDecompCPU) ... skip: diag in torch.int64 not supported (0.001s) 2022-11-23T01:37:01.1610482Z test_comprehensive_diag_cpu_int8 (__main__.TestDecompCPU) ... skip: diag in torch.int8 not supported (0.001s) 2022-11-23T01:37:01.1610856Z test_comprehensive_diag_cpu_uint8 (__main__.TestDecompCPU) ... skip: diag in torch.uint8 not supported (0.001s) 2022-11-23T01:37:01.1611208Z test_comprehensive_diag_embed_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.1611513Z test_comprehensive_diag_embed_cpu_bool (__main__.TestDecompCPU) ... ok (0.035s) 2022-11-23T01:37:01.1611834Z test_comprehensive_diag_embed_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.600s) 2022-11-23T01:37:01.1612162Z test_comprehensive_diag_embed_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.100s) 2022-11-23T01:37:01.1612490Z test_comprehensive_diag_embed_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.591s) 2022-11-23T01:37:01.1612800Z test_comprehensive_diag_embed_cpu_float16 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.1613116Z test_comprehensive_diag_embed_cpu_float32 (__main__.TestDecompCPU) ... ok (0.334s) 2022-11-23T01:37:01.1613432Z test_comprehensive_diag_embed_cpu_float64 (__main__.TestDecompCPU) ... ok (0.322s) 2022-11-23T01:37:01.1613731Z test_comprehensive_diag_embed_cpu_int16 (__main__.TestDecompCPU) ... ok (0.036s) 2022-11-23T01:37:01.1614041Z test_comprehensive_diag_embed_cpu_int32 (__main__.TestDecompCPU) ... ok (0.035s) 2022-11-23T01:37:01.1614351Z test_comprehensive_diag_embed_cpu_int64 (__main__.TestDecompCPU) ... ok (0.035s) 2022-11-23T01:37:01.1614662Z test_comprehensive_diag_embed_cpu_int8 (__main__.TestDecompCPU) ... ok (0.035s) 2022-11-23T01:37:01.1614798Z test_comprehensive_diag_embed_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.035s) 2022-11-23T01:37:01.1614948Z test_comprehensive_diagflat_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1615095Z test_comprehensive_diagflat_cpu_bool (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1615278Z test_comprehensive_diagflat_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.1615433Z test_comprehensive_diagflat_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.056s) 2022-11-23T01:37:01.1615578Z test_comprehensive_diagflat_cpu_float16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.1615721Z test_comprehensive_diagflat_cpu_float32 (__main__.TestDecompCPU) ... ok (0.035s) 2022-11-23T01:37:01.1615860Z test_comprehensive_diagflat_cpu_float64 (__main__.TestDecompCPU) ... ok (0.033s) 2022-11-23T01:37:01.1615992Z test_comprehensive_diagflat_cpu_int16 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.1616172Z test_comprehensive_diagflat_cpu_int32 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1616316Z test_comprehensive_diagflat_cpu_int64 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1616461Z test_comprehensive_diagflat_cpu_int8 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1616603Z test_comprehensive_diagflat_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1616760Z test_comprehensive_diagonal_copy_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1616916Z test_comprehensive_diagonal_copy_cpu_bool (__main__.TestDecompCPU) ... ok (0.032s) 2022-11-23T01:37:01.1617072Z test_comprehensive_diagonal_copy_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.135s) 2022-11-23T01:37:01.1617213Z test_comprehensive_diagonal_copy_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.094s) 2022-11-23T01:37:01.1617366Z test_comprehensive_diagonal_copy_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.142s) 2022-11-23T01:37:01.1617519Z test_comprehensive_diagonal_copy_cpu_float16 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1617671Z test_comprehensive_diagonal_copy_cpu_float32 (__main__.TestDecompCPU) ... ok (0.083s) 2022-11-23T01:37:01.1617823Z test_comprehensive_diagonal_copy_cpu_float64 (__main__.TestDecompCPU) ... ok (0.089s) 2022-11-23T01:37:01.1617974Z test_comprehensive_diagonal_copy_cpu_int16 (__main__.TestDecompCPU) ... ok (0.039s) 2022-11-23T01:37:01.1618125Z test_comprehensive_diagonal_copy_cpu_int32 (__main__.TestDecompCPU) ... ok (0.036s) 2022-11-23T01:37:01.1618269Z test_comprehensive_diagonal_copy_cpu_int64 (__main__.TestDecompCPU) ... ok (0.033s) 2022-11-23T01:37:01.1618416Z test_comprehensive_diagonal_copy_cpu_int8 (__main__.TestDecompCPU) ... ok (0.034s) 2022-11-23T01:37:01.1618547Z test_comprehensive_diagonal_copy_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.034s) 2022-11-23T01:37:01.1618696Z test_comprehensive_diagonal_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.1618969Z test_comprehensive_diagonal_cpu_bool (__main__.TestDecompCPU) ... ok (0.045s) 2022-11-23T01:37:01.1619121Z test_comprehensive_diagonal_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.150s) 2022-11-23T01:37:01.1619271Z test_comprehensive_diagonal_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.094s) 2022-11-23T01:37:01.1619420Z test_comprehensive_diagonal_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.156s) 2022-11-23T01:37:01.1619567Z test_comprehensive_diagonal_cpu_float16 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1619710Z test_comprehensive_diagonal_cpu_float32 (__main__.TestDecompCPU) ... ok (0.084s) 2022-11-23T01:37:01.1619837Z test_comprehensive_diagonal_cpu_float64 (__main__.TestDecompCPU) ... ok (0.081s) 2022-11-23T01:37:01.1619983Z test_comprehensive_diagonal_cpu_int16 (__main__.TestDecompCPU) ... ok (0.032s) 2022-11-23T01:37:01.1620127Z test_comprehensive_diagonal_cpu_int32 (__main__.TestDecompCPU) ... ok (0.032s) 2022-11-23T01:37:01.1620272Z test_comprehensive_diagonal_cpu_int64 (__main__.TestDecompCPU) ... ok (0.032s) 2022-11-23T01:37:01.1620416Z test_comprehensive_diagonal_cpu_int8 (__main__.TestDecompCPU) ... ok (0.032s) 2022-11-23T01:37:01.1620559Z test_comprehensive_diagonal_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.032s) 2022-11-23T01:37:01.1620792Z test_comprehensive_diagonal_scatter_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.030s) 2022-11-23T01:37:01.1620946Z test_comprehensive_diagonal_scatter_cpu_bool (__main__.TestDecompCPU) ... ok (0.156s) 2022-11-23T01:37:01.1621089Z test_comprehensive_diagonal_scatter_cpu_float16 (__main__.TestDecompCPU) ... ok (0.040s) 2022-11-23T01:37:01.1621247Z test_comprehensive_diagonal_scatter_cpu_float32 (__main__.TestDecompCPU) ... ok (0.660s) 2022-11-23T01:37:01.1621399Z test_comprehensive_diagonal_scatter_cpu_float64 (__main__.TestDecompCPU) ... ok (0.686s) 2022-11-23T01:37:01.1621552Z test_comprehensive_diagonal_scatter_cpu_int16 (__main__.TestDecompCPU) ... ok (0.147s) 2022-11-23T01:37:01.1621738Z test_comprehensive_diagonal_scatter_cpu_int32 (__main__.TestDecompCPU) ... ok (0.248s) 2022-11-23T01:37:01.1621893Z test_comprehensive_diagonal_scatter_cpu_int64 (__main__.TestDecompCPU) ... ok (0.229s) 2022-11-23T01:37:01.1622047Z test_comprehensive_diagonal_scatter_cpu_int8 (__main__.TestDecompCPU) ... ok (0.208s) 2022-11-23T01:37:01.1622200Z test_comprehensive_diagonal_scatter_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.173s) 2022-11-23T01:37:01.1622341Z test_comprehensive_diff_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.633s) 2022-11-23T01:37:01.1622467Z test_comprehensive_diff_cpu_bool (__main__.TestDecompCPU) ... ok (1.277s) 2022-11-23T01:37:01.1622615Z test_comprehensive_diff_cpu_complex128 (__main__.TestDecompCPU) ... ok (10.106s) 2022-11-23T01:37:01.1622759Z test_comprehensive_diff_cpu_complex64 (__main__.TestDecompCPU) ... ok (11.538s) 2022-11-23T01:37:01.1622901Z test_comprehensive_diff_cpu_float16 (__main__.TestDecompCPU) ... ok (0.744s) 2022-11-23T01:37:01.1623045Z test_comprehensive_diff_cpu_float32 (__main__.TestDecompCPU) ... ok (4.849s) 2022-11-23T01:37:01.1623183Z test_comprehensive_diff_cpu_float64 (__main__.TestDecompCPU) ... ok (4.449s) 2022-11-23T01:37:01.1623323Z test_comprehensive_diff_cpu_int16 (__main__.TestDecompCPU) ... ok (1.152s) 2022-11-23T01:37:01.1623464Z test_comprehensive_diff_cpu_int32 (__main__.TestDecompCPU) ... ok (1.154s) 2022-11-23T01:37:01.1623588Z test_comprehensive_diff_cpu_int64 (__main__.TestDecompCPU) ... ok (1.148s) 2022-11-23T01:37:01.1623724Z test_comprehensive_diff_cpu_int8 (__main__.TestDecompCPU) ... ok (1.160s) 2022-11-23T01:37:01.1623857Z test_comprehensive_diff_cpu_uint8 (__main__.TestDecompCPU) ... ok (1.187s) 2022-11-23T01:37:01.1623998Z test_comprehensive_digamma_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1624141Z test_comprehensive_digamma_cpu_bool (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1624290Z test_comprehensive_digamma_cpu_float32 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.1624436Z test_comprehensive_digamma_cpu_float64 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1624578Z test_comprehensive_digamma_cpu_int16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1624709Z test_comprehensive_digamma_cpu_int32 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1624851Z test_comprehensive_digamma_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1624991Z test_comprehensive_digamma_cpu_int8 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1625131Z test_comprehensive_digamma_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1625270Z test_comprehensive_dist_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.576s) 2022-11-23T01:37:01.1625414Z test_comprehensive_dist_cpu_complex128 (__main__.TestDecompCPU) ... ok (5.348s) 2022-11-23T01:37:01.1625558Z test_comprehensive_dist_cpu_complex64 (__main__.TestDecompCPU) ... ok (5.452s) 2022-11-23T01:37:01.1625701Z test_comprehensive_dist_cpu_float16 (__main__.TestDecompCPU) ... ok (0.600s) 2022-11-23T01:37:01.1625826Z test_comprehensive_dist_cpu_float32 (__main__.TestDecompCPU) ... ok (3.551s) 2022-11-23T01:37:01.1625965Z test_comprehensive_dist_cpu_float64 (__main__.TestDecompCPU) ... ok (3.433s) 2022-11-23T01:37:01.1626157Z test_comprehensive_div_floor_rounding_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.050s) 2022-11-23T01:37:01.1626315Z test_comprehensive_div_floor_rounding_cpu_float16 (__main__.TestDecompCPU) ... ok (0.051s) 2022-11-23T01:37:01.1626468Z test_comprehensive_div_floor_rounding_cpu_float32 (__main__.TestDecompCPU) ... ok (0.146s) 2022-11-23T01:37:01.1626623Z test_comprehensive_div_floor_rounding_cpu_float64 (__main__.TestDecompCPU) ... ok (0.141s) 2022-11-23T01:37:01.1626779Z test_comprehensive_div_floor_rounding_cpu_int16 (__main__.TestDecompCPU) ... ok (0.056s) 2022-11-23T01:37:01.1626961Z test_comprehensive_div_floor_rounding_cpu_int32 (__main__.TestDecompCPU) ... ok (0.063s) 2022-11-23T01:37:01.1627098Z test_comprehensive_div_floor_rounding_cpu_int64 (__main__.TestDecompCPU) ... ok (0.057s) 2022-11-23T01:37:01.1627244Z test_comprehensive_div_floor_rounding_cpu_int8 (__main__.TestDecompCPU) ... ok (0.062s) 2022-11-23T01:37:01.1627397Z test_comprehensive_div_floor_rounding_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.056s) 2022-11-23T01:37:01.1627561Z test_comprehensive_div_no_rounding_mode_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.053s) 2022-11-23T01:37:01.1627721Z test_comprehensive_div_no_rounding_mode_cpu_bool (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.1627887Z test_comprehensive_div_no_rounding_mode_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.797s) 2022-11-23T01:37:01.1628051Z test_comprehensive_div_no_rounding_mode_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.834s) 2022-11-23T01:37:01.1628268Z test_comprehensive_div_no_rounding_mode_cpu_float16 (__main__.TestDecompCPU) ... ok (0.054s) 2022-11-23T01:37:01.1628429Z test_comprehensive_div_no_rounding_mode_cpu_float32 (__main__.TestDecompCPU) ... ok (0.840s) 2022-11-23T01:37:01.1628573Z test_comprehensive_div_no_rounding_mode_cpu_float64 (__main__.TestDecompCPU) ... ok (0.828s) 2022-11-23T01:37:01.1628731Z test_comprehensive_div_no_rounding_mode_cpu_int16 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.1628885Z test_comprehensive_div_no_rounding_mode_cpu_int32 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.1629039Z test_comprehensive_div_no_rounding_mode_cpu_int64 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.1629194Z test_comprehensive_div_no_rounding_mode_cpu_int8 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.1629347Z test_comprehensive_div_no_rounding_mode_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.1629504Z test_comprehensive_div_trunc_rounding_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.1629659Z test_comprehensive_div_trunc_rounding_cpu_float16 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.1629798Z test_comprehensive_div_trunc_rounding_cpu_float32 (__main__.TestDecompCPU) ... ok (0.119s) 2022-11-23T01:37:01.1629950Z test_comprehensive_div_trunc_rounding_cpu_float64 (__main__.TestDecompCPU) ... ok (0.118s) 2022-11-23T01:37:01.1630104Z test_comprehensive_div_trunc_rounding_cpu_int16 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.1630257Z test_comprehensive_div_trunc_rounding_cpu_int32 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.1630408Z test_comprehensive_div_trunc_rounding_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1630561Z test_comprehensive_div_trunc_rounding_cpu_int8 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.1630711Z test_comprehensive_div_trunc_rounding_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.1630854Z test_comprehensive_dot_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1631001Z test_comprehensive_dot_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.036s) 2022-11-23T01:37:01.1631129Z test_comprehensive_dot_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.039s) 2022-11-23T01:37:01.1631268Z test_comprehensive_dot_cpu_float32 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.1631441Z test_comprehensive_dot_cpu_float64 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.1631581Z test_comprehensive_dot_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1631717Z test_comprehensive_dot_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1631851Z test_comprehensive_dot_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1631989Z test_comprehensive_dot_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1632124Z test_comprehensive_dot_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1632288Z test_comprehensive_double_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1632429Z test_comprehensive_double_cpu_bool (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1632577Z test_comprehensive_double_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.1632727Z test_comprehensive_double_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1632871Z test_comprehensive_double_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.1633016Z test_comprehensive_double_cpu_float16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1633159Z test_comprehensive_double_cpu_float32 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.1633302Z test_comprehensive_double_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1633432Z test_comprehensive_double_cpu_int16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1633576Z test_comprehensive_double_cpu_int32 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1633717Z test_comprehensive_double_cpu_int64 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1633857Z test_comprehensive_double_cpu_int8 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1633996Z test_comprehensive_double_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1634143Z test_comprehensive_dsplit_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.1634284Z test_comprehensive_dsplit_cpu_bool (__main__.TestDecompCPU) ... ok (0.033s) 2022-11-23T01:37:01.1634433Z test_comprehensive_dsplit_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.200s) 2022-11-23T01:37:01.1634567Z test_comprehensive_dsplit_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.093s) 2022-11-23T01:37:01.1634711Z test_comprehensive_dsplit_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.206s) 2022-11-23T01:37:01.1634854Z test_comprehensive_dsplit_cpu_float16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1635000Z test_comprehensive_dsplit_cpu_float32 (__main__.TestDecompCPU) ... ok (0.117s) 2022-11-23T01:37:01.1635144Z test_comprehensive_dsplit_cpu_float64 (__main__.TestDecompCPU) ... ok (0.115s) 2022-11-23T01:37:01.1635284Z test_comprehensive_dsplit_cpu_int16 (__main__.TestDecompCPU) ... ok (0.034s) 2022-11-23T01:37:01.1635430Z test_comprehensive_dsplit_cpu_int32 (__main__.TestDecompCPU) ... ok (0.033s) 2022-11-23T01:37:01.1635570Z test_comprehensive_dsplit_cpu_int64 (__main__.TestDecompCPU) ... ok (0.033s) 2022-11-23T01:37:01.1635694Z test_comprehensive_dsplit_cpu_int8 (__main__.TestDecompCPU) ... ok (0.033s) 2022-11-23T01:37:01.1635834Z test_comprehensive_dsplit_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.033s) 2022-11-23T01:37:01.1635981Z test_comprehensive_dstack_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1636122Z test_comprehensive_dstack_cpu_bool (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1636274Z test_comprehensive_dstack_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.126s) 2022-11-23T01:37:01.1636420Z test_comprehensive_dstack_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.057s) 2022-11-23T01:37:01.1636566Z test_comprehensive_dstack_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.132s) 2022-11-23T01:37:01.1636746Z test_comprehensive_dstack_cpu_float16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1636891Z test_comprehensive_dstack_cpu_float32 (__main__.TestDecompCPU) ... ok (0.079s) 2022-11-23T01:37:01.1637019Z test_comprehensive_dstack_cpu_float64 (__main__.TestDecompCPU) ... ok (0.076s) 2022-11-23T01:37:01.1637159Z test_comprehensive_dstack_cpu_int16 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1637300Z test_comprehensive_dstack_cpu_int32 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1637438Z test_comprehensive_dstack_cpu_int64 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1637581Z test_comprehensive_dstack_cpu_int8 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1637755Z test_comprehensive_dstack_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1637900Z test_comprehensive_einsum_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.076s) 2022-11-23T01:37:01.1638048Z test_comprehensive_einsum_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.597s) 2022-11-23T01:37:01.1638183Z test_comprehensive_einsum_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.626s) 2022-11-23T01:37:01.1638326Z test_comprehensive_einsum_cpu_float32 (__main__.TestDecompCPU) ... ok (0.375s) 2022-11-23T01:37:01.1638467Z test_comprehensive_einsum_cpu_float64 (__main__.TestDecompCPU) ... ok (0.357s) 2022-11-23T01:37:01.1638605Z test_comprehensive_einsum_cpu_int16 (__main__.TestDecompCPU) ... ok (0.081s) 2022-11-23T01:37:01.1638744Z test_comprehensive_einsum_cpu_int32 (__main__.TestDecompCPU) ... ok (0.081s) 2022-11-23T01:37:01.1638881Z test_comprehensive_einsum_cpu_int64 (__main__.TestDecompCPU) ... ok (0.078s) 2022-11-23T01:37:01.1639022Z test_comprehensive_einsum_cpu_int8 (__main__.TestDecompCPU) ... ok (0.081s) 2022-11-23T01:37:01.1639158Z test_comprehensive_einsum_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.081s) 2022-11-23T01:37:01.1639342Z test_comprehensive_empty_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: empty in torch.bfloat16 not supported (0.001s) 2022-11-23T01:37:01.1639532Z test_comprehensive_empty_cpu_bool (__main__.TestDecompCPU) ... skip: empty in torch.bool not supported (0.001s) 2022-11-23T01:37:01.1639735Z test_comprehensive_empty_cpu_complex128 (__main__.TestDecompCPU) ... skip: empty in torch.complex128 not supported (0.001s) 2022-11-23T01:37:01.1639934Z test_comprehensive_empty_cpu_complex32 (__main__.TestDecompCPU) ... skip: empty in torch.complex32 not supported (0.001s) 2022-11-23T01:37:01.1640129Z test_comprehensive_empty_cpu_complex64 (__main__.TestDecompCPU) ... skip: empty in torch.complex64 not supported (0.001s) 2022-11-23T01:37:01.1640322Z test_comprehensive_empty_cpu_float16 (__main__.TestDecompCPU) ... skip: empty in torch.float16 not supported (0.001s) 2022-11-23T01:37:01.1640510Z test_comprehensive_empty_cpu_float32 (__main__.TestDecompCPU) ... skip: empty in torch.float32 not supported (0.001s) 2022-11-23T01:37:01.1640698Z test_comprehensive_empty_cpu_float64 (__main__.TestDecompCPU) ... skip: empty in torch.float64 not supported (0.001s) 2022-11-23T01:37:01.1640878Z test_comprehensive_empty_cpu_int16 (__main__.TestDecompCPU) ... skip: empty in torch.int16 not supported (0.001s) 2022-11-23T01:37:01.1641044Z test_comprehensive_empty_cpu_int32 (__main__.TestDecompCPU) ... skip: empty in torch.int32 not supported (0.001s) 2022-11-23T01:37:01.1641221Z test_comprehensive_empty_cpu_int64 (__main__.TestDecompCPU) ... skip: empty in torch.int64 not supported (0.001s) 2022-11-23T01:37:01.1641402Z test_comprehensive_empty_cpu_int8 (__main__.TestDecompCPU) ... skip: empty in torch.int8 not supported (0.001s) 2022-11-23T01:37:01.1641587Z test_comprehensive_empty_cpu_uint8 (__main__.TestDecompCPU) ... skip: empty in torch.uint8 not supported (0.001s) 2022-11-23T01:37:01.1641789Z test_comprehensive_empty_like_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: empty_like in torch.bfloat16 not supported (0.001s) 2022-11-23T01:37:01.1642006Z test_comprehensive_empty_like_cpu_bool (__main__.TestDecompCPU) ... skip: empty_like in torch.bool not supported (0.001s) 2022-11-23T01:37:01.1642214Z test_comprehensive_empty_like_cpu_complex128 (__main__.TestDecompCPU) ... skip: empty_like in torch.complex128 not supported (0.001s) 2022-11-23T01:37:01.1642415Z test_comprehensive_empty_like_cpu_complex32 (__main__.TestDecompCPU) ... skip: empty_like in torch.complex32 not supported (0.001s) 2022-11-23T01:37:01.1642613Z test_comprehensive_empty_like_cpu_complex64 (__main__.TestDecompCPU) ... skip: empty_like in torch.complex64 not supported (0.001s) 2022-11-23T01:37:01.1642807Z test_comprehensive_empty_like_cpu_float16 (__main__.TestDecompCPU) ... skip: empty_like in torch.float16 not supported (0.001s) 2022-11-23T01:37:01.1643030Z test_comprehensive_empty_like_cpu_float32 (__main__.TestDecompCPU) ... skip: empty_like in torch.float32 not supported (0.001s) 2022-11-23T01:37:01.1643227Z test_comprehensive_empty_like_cpu_float64 (__main__.TestDecompCPU) ... skip: empty_like in torch.float64 not supported (0.001s) 2022-11-23T01:37:01.1643419Z test_comprehensive_empty_like_cpu_int16 (__main__.TestDecompCPU) ... skip: empty_like in torch.int16 not supported (0.001s) 2022-11-23T01:37:01.1643609Z test_comprehensive_empty_like_cpu_int32 (__main__.TestDecompCPU) ... skip: empty_like in torch.int32 not supported (0.001s) 2022-11-23T01:37:01.1643795Z test_comprehensive_empty_like_cpu_int64 (__main__.TestDecompCPU) ... skip: empty_like in torch.int64 not supported (0.001s) 2022-11-23T01:37:01.1643985Z test_comprehensive_empty_like_cpu_int8 (__main__.TestDecompCPU) ... skip: empty_like in torch.int8 not supported (0.001s) 2022-11-23T01:37:01.1644179Z test_comprehensive_empty_like_cpu_uint8 (__main__.TestDecompCPU) ... skip: empty_like in torch.uint8 not supported (0.001s) 2022-11-23T01:37:01.1644319Z test_comprehensive_eq_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.045s) 2022-11-23T01:37:01.1644457Z test_comprehensive_eq_cpu_bool (__main__.TestDecompCPU) ... ok (0.050s) 2022-11-23T01:37:01.1644602Z test_comprehensive_eq_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.142s) 2022-11-23T01:37:01.1644730Z test_comprehensive_eq_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.147s) 2022-11-23T01:37:01.1644872Z test_comprehensive_eq_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.145s) 2022-11-23T01:37:01.1645011Z test_comprehensive_eq_cpu_float16 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1645148Z test_comprehensive_eq_cpu_float32 (__main__.TestDecompCPU) ... ok (0.080s) 2022-11-23T01:37:01.1645290Z test_comprehensive_eq_cpu_float64 (__main__.TestDecompCPU) ... ok (0.079s) 2022-11-23T01:37:01.1645424Z test_comprehensive_eq_cpu_int16 (__main__.TestDecompCPU) ... ok (0.051s) 2022-11-23T01:37:01.1645564Z test_comprehensive_eq_cpu_int32 (__main__.TestDecompCPU) ... ok (0.050s) 2022-11-23T01:37:01.1645699Z test_comprehensive_eq_cpu_int64 (__main__.TestDecompCPU) ... ok (0.050s) 2022-11-23T01:37:01.1645819Z test_comprehensive_eq_cpu_int8 (__main__.TestDecompCPU) ... ok (0.051s) 2022-11-23T01:37:01.1645957Z test_comprehensive_eq_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.051s) 2022-11-23T01:37:01.1646101Z test_comprehensive_equal_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1646241Z test_comprehensive_equal_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1646387Z test_comprehensive_equal_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1646530Z test_comprehensive_equal_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1646671Z test_comprehensive_equal_cpu_float16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1646813Z test_comprehensive_equal_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1646941Z test_comprehensive_equal_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1647081Z test_comprehensive_equal_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1647251Z test_comprehensive_equal_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1647388Z test_comprehensive_equal_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1647525Z test_comprehensive_equal_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1647660Z test_comprehensive_equal_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1647804Z test_comprehensive_erf_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1647941Z test_comprehensive_erf_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1648065Z test_comprehensive_erf_cpu_float32 (__main__.TestDecompCPU) ... ok (0.143s) 2022-11-23T01:37:01.1648231Z test_comprehensive_erf_cpu_float64 (__main__.TestDecompCPU) ... ok (0.142s) 2022-11-23T01:37:01.1648370Z test_comprehensive_erf_cpu_int16 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1648506Z test_comprehensive_erf_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1648645Z test_comprehensive_erf_cpu_int64 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1648784Z test_comprehensive_erf_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1648920Z test_comprehensive_erf_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1649061Z test_comprehensive_erfc_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1649182Z test_comprehensive_erfc_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1649325Z test_comprehensive_erfc_cpu_float32 (__main__.TestDecompCPU) ... ok (0.032s) 2022-11-23T01:37:01.1649470Z test_comprehensive_erfc_cpu_float64 (__main__.TestDecompCPU) ... ok (0.030s) 2022-11-23T01:37:01.1649606Z test_comprehensive_erfc_cpu_int16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1649741Z test_comprehensive_erfc_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1649882Z test_comprehensive_erfc_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1650020Z test_comprehensive_erfc_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1650157Z test_comprehensive_erfc_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1650291Z test_comprehensive_erfinv_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1650430Z test_comprehensive_erfinv_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1650572Z test_comprehensive_erfinv_cpu_float32 (__main__.TestDecompCPU) ... ok (0.141s) 2022-11-23T01:37:01.1650716Z test_comprehensive_erfinv_cpu_float64 (__main__.TestDecompCPU) ... ok (0.140s) 2022-11-23T01:37:01.1650861Z test_comprehensive_erfinv_cpu_int16 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1651001Z test_comprehensive_erfinv_cpu_int32 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1651139Z test_comprehensive_erfinv_cpu_int64 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1651280Z test_comprehensive_erfinv_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1651404Z test_comprehensive_erfinv_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1651547Z test_comprehensive_exp2_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1651685Z test_comprehensive_exp2_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1651823Z test_comprehensive_exp2_cpu_float16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1651963Z test_comprehensive_exp2_cpu_float32 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1652103Z test_comprehensive_exp2_cpu_float64 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1652242Z test_comprehensive_exp2_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1652379Z test_comprehensive_exp2_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1652501Z test_comprehensive_exp2_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1652671Z test_comprehensive_exp2_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1652810Z test_comprehensive_exp2_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1652948Z test_comprehensive_exp_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1653086Z test_comprehensive_exp_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1653230Z test_comprehensive_exp_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.028s) 2022-11-23T01:37:01.1653375Z test_comprehensive_exp_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.030s) 2022-11-23T01:37:01.1653544Z test_comprehensive_exp_cpu_float32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1653668Z test_comprehensive_exp_cpu_float64 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.1653805Z test_comprehensive_exp_cpu_int16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1653942Z test_comprehensive_exp_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1654076Z test_comprehensive_exp_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1654215Z test_comprehensive_exp_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1654347Z test_comprehensive_exp_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1654499Z test_comprehensive_expand_as_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1654644Z test_comprehensive_expand_as_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1654781Z test_comprehensive_expand_as_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.028s) 2022-11-23T01:37:01.1654937Z test_comprehensive_expand_as_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.030s) 2022-11-23T01:37:01.1655087Z test_comprehensive_expand_as_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1655231Z test_comprehensive_expand_as_cpu_float32 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1655370Z test_comprehensive_expand_as_cpu_float64 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.1655516Z test_comprehensive_expand_as_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1655660Z test_comprehensive_expand_as_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1655805Z test_comprehensive_expand_as_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1655935Z test_comprehensive_expand_as_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1656079Z test_comprehensive_expand_as_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1656222Z test_comprehensive_expand_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1656365Z test_comprehensive_expand_cpu_bool (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1656513Z test_comprehensive_expand_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.135s) 2022-11-23T01:37:01.1656661Z test_comprehensive_expand_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.139s) 2022-11-23T01:37:01.1656799Z test_comprehensive_expand_cpu_float16 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.1656937Z test_comprehensive_expand_cpu_float32 (__main__.TestDecompCPU) ... ok (0.081s) 2022-11-23T01:37:01.1657075Z test_comprehensive_expand_cpu_float64 (__main__.TestDecompCPU) ... ok (0.078s) 2022-11-23T01:37:01.1657202Z test_comprehensive_expand_cpu_int16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1657341Z test_comprehensive_expand_cpu_int32 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1657481Z test_comprehensive_expand_cpu_int64 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.1657616Z test_comprehensive_expand_cpu_int8 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1657752Z test_comprehensive_expand_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1657931Z test_comprehensive_expm1_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1658072Z test_comprehensive_expm1_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1658210Z test_comprehensive_expm1_cpu_float32 (__main__.TestDecompCPU) ... ok (0.081s) 2022-11-23T01:37:01.1658339Z test_comprehensive_expm1_cpu_float64 (__main__.TestDecompCPU) ... ok (0.080s) 2022-11-23T01:37:01.1658478Z test_comprehensive_expm1_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1658612Z test_comprehensive_expm1_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1658876Z test_comprehensive_expm1_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1659017Z test_comprehensive_expm1_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1659154Z test_comprehensive_expm1_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1659288Z test_comprehensive_eye_cpu_bool (__main__.TestDecompCPU) ... ok (0.040s) 2022-11-23T01:37:01.1659431Z test_comprehensive_eye_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.066s) 2022-11-23T01:37:01.1659561Z test_comprehensive_eye_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.068s) 2022-11-23T01:37:01.1659695Z test_comprehensive_eye_cpu_float16 (__main__.TestDecompCPU) ... ok (0.037s) 2022-11-23T01:37:01.1659850Z test_comprehensive_eye_cpu_float32 (__main__.TestDecompCPU) ... ok (0.058s) 2022-11-23T01:37:01.1660058Z test_comprehensive_eye_cpu_float64 (__main__.TestDecompCPU) ... ok (0.055s) 2022-11-23T01:37:01.1660217Z test_comprehensive_eye_cpu_int16 (__main__.TestDecompCPU) ... ok (0.045s) 2022-11-23T01:37:01.1660353Z test_comprehensive_eye_cpu_int32 (__main__.TestDecompCPU) ... ok (0.044s) 2022-11-23T01:37:01.1660486Z test_comprehensive_eye_cpu_int64 (__main__.TestDecompCPU) ... ok (0.041s) 2022-11-23T01:37:01.1660620Z test_comprehensive_eye_cpu_int8 (__main__.TestDecompCPU) ... ok (0.044s) 2022-11-23T01:37:01.1660740Z test_comprehensive_eye_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.044s) 2022-11-23T01:37:01.1660880Z test_comprehensive_fft_fft2_cpu_bool (__main__.TestDecompCPU) ... ok (0.083s) 2022-11-23T01:37:01.1661027Z test_comprehensive_fft_fft2_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.114s) 2022-11-23T01:37:01.1661169Z test_comprehensive_fft_fft2_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.116s) 2022-11-23T01:37:01.1661311Z test_comprehensive_fft_fft2_cpu_float32 (__main__.TestDecompCPU) ... ok (0.164s) 2022-11-23T01:37:01.1661447Z test_comprehensive_fft_fft2_cpu_float64 (__main__.TestDecompCPU) ... ok (0.163s) 2022-11-23T01:37:01.1661589Z test_comprehensive_fft_fft2_cpu_int16 (__main__.TestDecompCPU) ... ok (0.102s) 2022-11-23T01:37:01.1661731Z test_comprehensive_fft_fft2_cpu_int32 (__main__.TestDecompCPU) ... ok (0.102s) 2022-11-23T01:37:01.1661857Z test_comprehensive_fft_fft2_cpu_int64 (__main__.TestDecompCPU) ... ok (0.102s) 2022-11-23T01:37:01.1661995Z test_comprehensive_fft_fft2_cpu_int8 (__main__.TestDecompCPU) ... ok (0.102s) 2022-11-23T01:37:01.1662132Z test_comprehensive_fft_fft2_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.101s) 2022-11-23T01:37:01.1662271Z test_comprehensive_fft_fft_cpu_bool (__main__.TestDecompCPU) ... ok (0.064s) 2022-11-23T01:37:01.1662415Z test_comprehensive_fft_fft_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.063s) 2022-11-23T01:37:01.1662560Z test_comprehensive_fft_fft_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.062s) 2022-11-23T01:37:01.1662702Z test_comprehensive_fft_fft_cpu_float32 (__main__.TestDecompCPU) ... ok (0.036s) 2022-11-23T01:37:01.1662843Z test_comprehensive_fft_fft_cpu_float64 (__main__.TestDecompCPU) ... ok (0.036s) 2022-11-23T01:37:01.1662972Z test_comprehensive_fft_fft_cpu_int16 (__main__.TestDecompCPU) ... ok (0.071s) 2022-11-23T01:37:01.1663109Z test_comprehensive_fft_fft_cpu_int32 (__main__.TestDecompCPU) ... ok (0.071s) 2022-11-23T01:37:01.1663244Z test_comprehensive_fft_fft_cpu_int64 (__main__.TestDecompCPU) ... ok (0.071s) 2022-11-23T01:37:01.1663450Z test_comprehensive_fft_fft_cpu_int8 (__main__.TestDecompCPU) ... ok (0.071s) 2022-11-23T01:37:01.1663587Z test_comprehensive_fft_fft_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.071s) 2022-11-23T01:37:01.1663721Z test_comprehensive_fft_fftn_cpu_bool (__main__.TestDecompCPU) ... ok (0.093s) 2022-11-23T01:37:01.1663868Z test_comprehensive_fft_fftn_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.117s) 2022-11-23T01:37:01.1664013Z test_comprehensive_fft_fftn_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.118s) 2022-11-23T01:37:01.1664144Z test_comprehensive_fft_fftn_cpu_float32 (__main__.TestDecompCPU) ... ok (0.181s) 2022-11-23T01:37:01.1664323Z test_comprehensive_fft_fftn_cpu_float64 (__main__.TestDecompCPU) ... ok (0.178s) 2022-11-23T01:37:01.1664461Z test_comprehensive_fft_fftn_cpu_int16 (__main__.TestDecompCPU) ... ok (0.112s) 2022-11-23T01:37:01.1664600Z test_comprehensive_fft_fftn_cpu_int32 (__main__.TestDecompCPU) ... ok (0.112s) 2022-11-23T01:37:01.1664739Z test_comprehensive_fft_fftn_cpu_int64 (__main__.TestDecompCPU) ... ok (0.112s) 2022-11-23T01:37:01.1664883Z test_comprehensive_fft_fftn_cpu_int8 (__main__.TestDecompCPU) ... ok (0.112s) 2022-11-23T01:37:01.1665019Z test_comprehensive_fft_fftn_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.112s) 2022-11-23T01:37:01.1665166Z test_comprehensive_fft_fftshift_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1665302Z test_comprehensive_fft_fftshift_cpu_bool (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1665456Z test_comprehensive_fft_fftshift_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.080s) 2022-11-23T01:37:01.1665607Z test_comprehensive_fft_fftshift_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.041s) 2022-11-23T01:37:01.1665761Z test_comprehensive_fft_fftshift_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.082s) 2022-11-23T01:37:01.1665907Z test_comprehensive_fft_fftshift_cpu_float16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1666054Z test_comprehensive_fft_fftshift_cpu_float32 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.1666197Z test_comprehensive_fft_fftshift_cpu_float64 (__main__.TestDecompCPU) ... ok (0.045s) 2022-11-23T01:37:01.1666341Z test_comprehensive_fft_fftshift_cpu_int16 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1666482Z test_comprehensive_fft_fftshift_cpu_int32 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1666617Z test_comprehensive_fft_fftshift_cpu_int64 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1666759Z test_comprehensive_fft_fftshift_cpu_int8 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1666904Z test_comprehensive_fft_fftshift_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1667046Z test_comprehensive_fft_hfft2_cpu_bool (__main__.TestDecompCPU) ... ok (0.173s) 2022-11-23T01:37:01.1667192Z test_comprehensive_fft_hfft2_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.485s) 2022-11-23T01:37:01.1667342Z test_comprehensive_fft_hfft2_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.488s) 2022-11-23T01:37:01.1667486Z test_comprehensive_fft_hfft2_cpu_float32 (__main__.TestDecompCPU) ... ok (0.521s) 2022-11-23T01:37:01.1667625Z test_comprehensive_fft_hfft2_cpu_float64 (__main__.TestDecompCPU) ... ok (0.517s) 2022-11-23T01:37:01.1667753Z test_comprehensive_fft_hfft2_cpu_int16 (__main__.TestDecompCPU) ... ok (0.211s) 2022-11-23T01:37:01.1667893Z test_comprehensive_fft_hfft2_cpu_int32 (__main__.TestDecompCPU) ... ok (0.210s) 2022-11-23T01:37:01.1668031Z test_comprehensive_fft_hfft2_cpu_int64 (__main__.TestDecompCPU) ... ok (0.216s) 2022-11-23T01:37:01.1668247Z test_comprehensive_fft_hfft2_cpu_int8 (__main__.TestDecompCPU) ... ok (0.210s) 2022-11-23T01:37:01.1668386Z test_comprehensive_fft_hfft2_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.209s) 2022-11-23T01:37:01.1668524Z test_comprehensive_fft_hfft_cpu_bool (__main__.TestDecompCPU) ... ok (0.145s) 2022-11-23T01:37:01.1668697Z test_comprehensive_fft_hfft_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.409s) 2022-11-23T01:37:01.1668841Z test_comprehensive_fft_hfft_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.412s) 2022-11-23T01:37:01.1668971Z test_comprehensive_fft_hfft_cpu_float32 (__main__.TestDecompCPU) ... ok (0.441s) 2022-11-23T01:37:01.1669112Z test_comprehensive_fft_hfft_cpu_float64 (__main__.TestDecompCPU) ... ok (0.422s) 2022-11-23T01:37:01.1669253Z test_comprehensive_fft_hfft_cpu_int16 (__main__.TestDecompCPU) ... ok (0.195s) 2022-11-23T01:37:01.1669393Z test_comprehensive_fft_hfft_cpu_int32 (__main__.TestDecompCPU) ... ok (0.195s) 2022-11-23T01:37:01.1669562Z test_comprehensive_fft_hfft_cpu_int64 (__main__.TestDecompCPU) ... ok (0.189s) 2022-11-23T01:37:01.1669700Z test_comprehensive_fft_hfft_cpu_int8 (__main__.TestDecompCPU) ... ok (0.189s) 2022-11-23T01:37:01.1669838Z test_comprehensive_fft_hfft_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.186s) 2022-11-23T01:37:01.1669976Z test_comprehensive_fft_hfftn_cpu_bool (__main__.TestDecompCPU) ... ok (0.192s) 2022-11-23T01:37:01.1670111Z test_comprehensive_fft_hfftn_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.532s) 2022-11-23T01:37:01.1670259Z test_comprehensive_fft_hfftn_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.538s) 2022-11-23T01:37:01.1670400Z test_comprehensive_fft_hfftn_cpu_float32 (__main__.TestDecompCPU) ... ok (0.565s) 2022-11-23T01:37:01.1670538Z test_comprehensive_fft_hfftn_cpu_float64 (__main__.TestDecompCPU) ... ok (0.558s) 2022-11-23T01:37:01.1670681Z test_comprehensive_fft_hfftn_cpu_int16 (__main__.TestDecompCPU) ... ok (0.245s) 2022-11-23T01:37:01.1670824Z test_comprehensive_fft_hfftn_cpu_int32 (__main__.TestDecompCPU) ... ok (0.245s) 2022-11-23T01:37:01.1670961Z test_comprehensive_fft_hfftn_cpu_int64 (__main__.TestDecompCPU) ... ok (0.244s) 2022-11-23T01:37:01.1671100Z test_comprehensive_fft_hfftn_cpu_int8 (__main__.TestDecompCPU) ... ok (0.245s) 2022-11-23T01:37:01.1671241Z test_comprehensive_fft_hfftn_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.242s) 2022-11-23T01:37:01.1671370Z test_comprehensive_fft_ifft2_cpu_bool (__main__.TestDecompCPU) ... ok (0.082s) 2022-11-23T01:37:01.1671518Z test_comprehensive_fft_ifft2_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.114s) 2022-11-23T01:37:01.1671665Z test_comprehensive_fft_ifft2_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.116s) 2022-11-23T01:37:01.1671808Z test_comprehensive_fft_ifft2_cpu_float32 (__main__.TestDecompCPU) ... ok (0.164s) 2022-11-23T01:37:01.1671948Z test_comprehensive_fft_ifft2_cpu_float64 (__main__.TestDecompCPU) ... ok (0.163s) 2022-11-23T01:37:01.1672086Z test_comprehensive_fft_ifft2_cpu_int16 (__main__.TestDecompCPU) ... ok (0.102s) 2022-11-23T01:37:01.1672225Z test_comprehensive_fft_ifft2_cpu_int32 (__main__.TestDecompCPU) ... ok (0.102s) 2022-11-23T01:37:01.1672360Z test_comprehensive_fft_ifft2_cpu_int64 (__main__.TestDecompCPU) ... ok (0.102s) 2022-11-23T01:37:01.1672488Z test_comprehensive_fft_ifft2_cpu_int8 (__main__.TestDecompCPU) ... ok (0.102s) 2022-11-23T01:37:01.1672625Z test_comprehensive_fft_ifft2_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.102s) 2022-11-23T01:37:01.1672769Z test_comprehensive_fft_ifft_cpu_bool (__main__.TestDecompCPU) ... ok (0.064s) 2022-11-23T01:37:01.1672914Z test_comprehensive_fft_ifft_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.063s) 2022-11-23T01:37:01.1673058Z test_comprehensive_fft_ifft_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.063s) 2022-11-23T01:37:01.1673200Z test_comprehensive_fft_ifft_cpu_float32 (__main__.TestDecompCPU) ... ok (0.332s) 2022-11-23T01:37:01.1673341Z test_comprehensive_fft_ifft_cpu_float64 (__main__.TestDecompCPU) ... ok (0.328s) 2022-11-23T01:37:01.1673485Z test_comprehensive_fft_ifft_cpu_int16 (__main__.TestDecompCPU) ... ok (0.071s) 2022-11-23T01:37:01.1673612Z test_comprehensive_fft_ifft_cpu_int32 (__main__.TestDecompCPU) ... ok (0.072s) 2022-11-23T01:37:01.1673750Z test_comprehensive_fft_ifft_cpu_int64 (__main__.TestDecompCPU) ... ok (0.072s) 2022-11-23T01:37:01.1673921Z test_comprehensive_fft_ifft_cpu_int8 (__main__.TestDecompCPU) ... ok (0.072s) 2022-11-23T01:37:01.1674062Z test_comprehensive_fft_ifft_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.072s) 2022-11-23T01:37:01.1674200Z test_comprehensive_fft_ifftn_cpu_bool (__main__.TestDecompCPU) ... ok (0.093s) 2022-11-23T01:37:01.1674347Z test_comprehensive_fft_ifftn_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.116s) 2022-11-23T01:37:01.1674495Z test_comprehensive_fft_ifftn_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.118s) 2022-11-23T01:37:01.1674639Z test_comprehensive_fft_ifftn_cpu_float32 (__main__.TestDecompCPU) ... ok (0.181s) 2022-11-23T01:37:01.1674800Z test_comprehensive_fft_ifftn_cpu_float64 (__main__.TestDecompCPU) ... ok (0.179s) 2022-11-23T01:37:01.1674943Z test_comprehensive_fft_ifftn_cpu_int16 (__main__.TestDecompCPU) ... ok (0.112s) 2022-11-23T01:37:01.1675083Z test_comprehensive_fft_ifftn_cpu_int32 (__main__.TestDecompCPU) ... ok (0.113s) 2022-11-23T01:37:01.1675221Z test_comprehensive_fft_ifftn_cpu_int64 (__main__.TestDecompCPU) ... ok (0.112s) 2022-11-23T01:37:01.1675360Z test_comprehensive_fft_ifftn_cpu_int8 (__main__.TestDecompCPU) ... ok (0.112s) 2022-11-23T01:37:01.1675498Z test_comprehensive_fft_ifftn_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.113s) 2022-11-23T01:37:01.1675650Z test_comprehensive_fft_ifftshift_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1675797Z test_comprehensive_fft_ifftshift_cpu_bool (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1675951Z test_comprehensive_fft_ifftshift_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.080s) 2022-11-23T01:37:01.1676094Z test_comprehensive_fft_ifftshift_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.041s) 2022-11-23T01:37:01.1676244Z test_comprehensive_fft_ifftshift_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.082s) 2022-11-23T01:37:01.1676392Z test_comprehensive_fft_ifftshift_cpu_float16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1676541Z test_comprehensive_fft_ifftshift_cpu_float32 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.1676689Z test_comprehensive_fft_ifftshift_cpu_float64 (__main__.TestDecompCPU) ... ok (0.046s) 2022-11-23T01:37:01.1676833Z test_comprehensive_fft_ifftshift_cpu_int16 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1676974Z test_comprehensive_fft_ifftshift_cpu_int32 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1677114Z test_comprehensive_fft_ifftshift_cpu_int64 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1677249Z test_comprehensive_fft_ifftshift_cpu_int8 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1677392Z test_comprehensive_fft_ifftshift_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1677535Z test_comprehensive_fft_ihfft2_cpu_bool (__main__.TestDecompCPU) ... ok (0.081s) 2022-11-23T01:37:01.1677680Z test_comprehensive_fft_ihfft2_cpu_float32 (__main__.TestDecompCPU) ... ok (0.199s) 2022-11-23T01:37:01.1677822Z test_comprehensive_fft_ihfft2_cpu_float64 (__main__.TestDecompCPU) ... ok (0.198s) 2022-11-23T01:37:01.1677965Z test_comprehensive_fft_ihfft2_cpu_int16 (__main__.TestDecompCPU) ... ok (0.100s) 2022-11-23T01:37:01.1678103Z test_comprehensive_fft_ihfft2_cpu_int32 (__main__.TestDecompCPU) ... ok (0.101s) 2022-11-23T01:37:01.1678239Z test_comprehensive_fft_ihfft2_cpu_int64 (__main__.TestDecompCPU) ... ok (0.100s) 2022-11-23T01:37:01.1678368Z test_comprehensive_fft_ihfft2_cpu_int8 (__main__.TestDecompCPU) ... ok (0.100s) 2022-11-23T01:37:01.1678509Z test_comprehensive_fft_ihfft2_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.100s) 2022-11-23T01:37:01.1678652Z test_comprehensive_fft_ihfft_cpu_bool (__main__.TestDecompCPU) ... ok (0.064s) 2022-11-23T01:37:01.1678796Z test_comprehensive_fft_ihfft_cpu_float32 (__main__.TestDecompCPU) ... ok (0.351s) 2022-11-23T01:37:01.1678939Z test_comprehensive_fft_ihfft_cpu_float64 (__main__.TestDecompCPU) ... ok (0.342s) 2022-11-23T01:37:01.1679108Z test_comprehensive_fft_ihfft_cpu_int16 (__main__.TestDecompCPU) ... ok (0.072s) 2022-11-23T01:37:01.1679249Z test_comprehensive_fft_ihfft_cpu_int32 (__main__.TestDecompCPU) ... ok (0.072s) 2022-11-23T01:37:01.1679389Z test_comprehensive_fft_ihfft_cpu_int64 (__main__.TestDecompCPU) ... ok (0.072s) 2022-11-23T01:37:01.1679518Z test_comprehensive_fft_ihfft_cpu_int8 (__main__.TestDecompCPU) ... ok (0.072s) 2022-11-23T01:37:01.1679657Z test_comprehensive_fft_ihfft_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.071s) 2022-11-23T01:37:01.1679796Z test_comprehensive_fft_ihfftn_cpu_bool (__main__.TestDecompCPU) ... ok (0.090s) 2022-11-23T01:37:01.1679970Z test_comprehensive_fft_ihfftn_cpu_float32 (__main__.TestDecompCPU) ... ok (0.318s) 2022-11-23T01:37:01.1680110Z test_comprehensive_fft_ihfftn_cpu_float64 (__main__.TestDecompCPU) ... ok (0.316s) 2022-11-23T01:37:01.1680250Z test_comprehensive_fft_ihfftn_cpu_int16 (__main__.TestDecompCPU) ... ok (0.110s) 2022-11-23T01:37:01.1680390Z test_comprehensive_fft_ihfftn_cpu_int32 (__main__.TestDecompCPU) ... ok (0.110s) 2022-11-23T01:37:01.1680525Z test_comprehensive_fft_ihfftn_cpu_int64 (__main__.TestDecompCPU) ... ok (0.109s) 2022-11-23T01:37:01.1680663Z test_comprehensive_fft_ihfftn_cpu_int8 (__main__.TestDecompCPU) ... ok (0.110s) 2022-11-23T01:37:01.1680793Z test_comprehensive_fft_ihfftn_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.108s) 2022-11-23T01:37:01.1680934Z test_comprehensive_fft_irfft2_cpu_bool (__main__.TestDecompCPU) ... ok (0.083s) 2022-11-23T01:37:01.1681082Z test_comprehensive_fft_irfft2_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.291s) 2022-11-23T01:37:01.1681232Z test_comprehensive_fft_irfft2_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.296s) 2022-11-23T01:37:01.1681377Z test_comprehensive_fft_irfft2_cpu_float32 (__main__.TestDecompCPU) ... ok (0.344s) 2022-11-23T01:37:01.1681517Z test_comprehensive_fft_irfft2_cpu_float64 (__main__.TestDecompCPU) ... ok (0.339s) 2022-11-23T01:37:01.1681658Z test_comprehensive_fft_irfft2_cpu_int16 (__main__.TestDecompCPU) ... ok (0.102s) 2022-11-23T01:37:01.1681800Z test_comprehensive_fft_irfft2_cpu_int32 (__main__.TestDecompCPU) ... ok (0.102s) 2022-11-23T01:37:01.1681925Z test_comprehensive_fft_irfft2_cpu_int64 (__main__.TestDecompCPU) ... ok (0.102s) 2022-11-23T01:37:01.1682064Z test_comprehensive_fft_irfft2_cpu_int8 (__main__.TestDecompCPU) ... ok (0.102s) 2022-11-23T01:37:01.1682209Z test_comprehensive_fft_irfft2_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.101s) 2022-11-23T01:37:01.1682349Z test_comprehensive_fft_irfft_cpu_bool (__main__.TestDecompCPU) ... ok (0.065s) 2022-11-23T01:37:01.1682502Z test_comprehensive_fft_irfft_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.248s) 2022-11-23T01:37:01.1682648Z test_comprehensive_fft_irfft_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.251s) 2022-11-23T01:37:01.1682791Z test_comprehensive_fft_irfft_cpu_float32 (__main__.TestDecompCPU) ... ok (0.317s) 2022-11-23T01:37:01.1682931Z test_comprehensive_fft_irfft_cpu_float64 (__main__.TestDecompCPU) ... ok (0.313s) 2022-11-23T01:37:01.1683058Z test_comprehensive_fft_irfft_cpu_int16 (__main__.TestDecompCPU) ... ok (0.074s) 2022-11-23T01:37:01.1683199Z test_comprehensive_fft_irfft_cpu_int32 (__main__.TestDecompCPU) ... ok (0.073s) 2022-11-23T01:37:01.1683336Z test_comprehensive_fft_irfft_cpu_int64 (__main__.TestDecompCPU) ... ok (0.073s) 2022-11-23T01:37:01.1683477Z test_comprehensive_fft_irfft_cpu_int8 (__main__.TestDecompCPU) ... ok (0.073s) 2022-11-23T01:37:01.1683615Z test_comprehensive_fft_irfft_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.072s) 2022-11-23T01:37:01.1683758Z test_comprehensive_fft_irfftn_cpu_bool (__main__.TestDecompCPU) ... ok (0.093s) 2022-11-23T01:37:01.1683908Z test_comprehensive_fft_irfftn_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.331s) 2022-11-23T01:37:01.1684055Z test_comprehensive_fft_irfftn_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.334s) 2022-11-23T01:37:01.1684219Z test_comprehensive_fft_irfftn_cpu_float32 (__main__.TestDecompCPU) ... ok (0.399s) 2022-11-23T01:37:01.1684367Z test_comprehensive_fft_irfftn_cpu_float64 (__main__.TestDecompCPU) ... ok (0.395s) 2022-11-23T01:37:01.1684507Z test_comprehensive_fft_irfftn_cpu_int16 (__main__.TestDecompCPU) ... ok (0.112s) 2022-11-23T01:37:01.1684644Z test_comprehensive_fft_irfftn_cpu_int32 (__main__.TestDecompCPU) ... ok (0.112s) 2022-11-23T01:37:01.1684780Z test_comprehensive_fft_irfftn_cpu_int64 (__main__.TestDecompCPU) ... ok (0.112s) 2022-11-23T01:37:01.1684917Z test_comprehensive_fft_irfftn_cpu_int8 (__main__.TestDecompCPU) ... ok (0.112s) 2022-11-23T01:37:01.1685090Z test_comprehensive_fft_irfftn_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.112s) 2022-11-23T01:37:01.1685228Z test_comprehensive_fft_rfft2_cpu_bool (__main__.TestDecompCPU) ... ok (0.080s) 2022-11-23T01:37:01.1685374Z test_comprehensive_fft_rfft2_cpu_float32 (__main__.TestDecompCPU) ... ok (0.171s) 2022-11-23T01:37:01.1685504Z test_comprehensive_fft_rfft2_cpu_float64 (__main__.TestDecompCPU) ... ok (0.167s) 2022-11-23T01:37:01.1685644Z test_comprehensive_fft_rfft2_cpu_int16 (__main__.TestDecompCPU) ... ok (0.099s) 2022-11-23T01:37:01.1685780Z test_comprehensive_fft_rfft2_cpu_int32 (__main__.TestDecompCPU) ... ok (0.098s) 2022-11-23T01:37:01.1685922Z test_comprehensive_fft_rfft2_cpu_int64 (__main__.TestDecompCPU) ... ok (0.098s) 2022-11-23T01:37:01.1686064Z test_comprehensive_fft_rfft2_cpu_int8 (__main__.TestDecompCPU) ... ok (0.098s) 2022-11-23T01:37:01.1686202Z test_comprehensive_fft_rfft2_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.097s) 2022-11-23T01:37:01.1686342Z test_comprehensive_fft_rfft_cpu_bool (__main__.TestDecompCPU) ... ok (0.063s) 2022-11-23T01:37:01.1686486Z test_comprehensive_fft_rfft_cpu_float32 (__main__.TestDecompCPU) ... ok (0.160s) 2022-11-23T01:37:01.1686613Z test_comprehensive_fft_rfft_cpu_float64 (__main__.TestDecompCPU) ... ok (0.157s) 2022-11-23T01:37:01.1686755Z test_comprehensive_fft_rfft_cpu_int16 (__main__.TestDecompCPU) ... ok (0.071s) 2022-11-23T01:37:01.1686901Z test_comprehensive_fft_rfft_cpu_int32 (__main__.TestDecompCPU) ... ok (0.071s) 2022-11-23T01:37:01.1687038Z test_comprehensive_fft_rfft_cpu_int64 (__main__.TestDecompCPU) ... ok (0.071s) 2022-11-23T01:37:01.1687178Z test_comprehensive_fft_rfft_cpu_int8 (__main__.TestDecompCPU) ... ok (0.071s) 2022-11-23T01:37:01.1687317Z test_comprehensive_fft_rfft_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.071s) 2022-11-23T01:37:01.1687459Z test_comprehensive_fft_rfftn_cpu_bool (__main__.TestDecompCPU) ... ok (0.089s) 2022-11-23T01:37:01.1687601Z test_comprehensive_fft_rfftn_cpu_float32 (__main__.TestDecompCPU) ... ok (0.197s) 2022-11-23T01:37:01.1687737Z test_comprehensive_fft_rfftn_cpu_float64 (__main__.TestDecompCPU) ... ok (0.194s) 2022-11-23T01:37:01.1687875Z test_comprehensive_fft_rfftn_cpu_int16 (__main__.TestDecompCPU) ... ok (0.108s) 2022-11-23T01:37:01.1688013Z test_comprehensive_fft_rfftn_cpu_int32 (__main__.TestDecompCPU) ... ok (0.109s) 2022-11-23T01:37:01.1688152Z test_comprehensive_fft_rfftn_cpu_int64 (__main__.TestDecompCPU) ... ok (0.109s) 2022-11-23T01:37:01.1688291Z test_comprehensive_fft_rfftn_cpu_int8 (__main__.TestDecompCPU) ... ok (0.112s) 2022-11-23T01:37:01.1688427Z test_comprehensive_fft_rfftn_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.108s) 2022-11-23T01:37:01.1688568Z test_comprehensive_fill_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1688706Z test_comprehensive_fill_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1688833Z test_comprehensive_fill_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.1688975Z test_comprehensive_fill_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.1689116Z test_comprehensive_fill_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.1689254Z test_comprehensive_fill_cpu_float16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1689423Z test_comprehensive_fill_cpu_float32 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1689562Z test_comprehensive_fill_cpu_float64 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1689699Z test_comprehensive_fill_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1689832Z test_comprehensive_fill_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1689954Z test_comprehensive_fill_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1690090Z test_comprehensive_fill_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1690230Z test_comprehensive_fill_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1690403Z test_comprehensive_flatten_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1690541Z test_comprehensive_flatten_cpu_bool (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.1690688Z test_comprehensive_flatten_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.075s) 2022-11-23T01:37:01.1690836Z test_comprehensive_flatten_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.038s) 2022-11-23T01:37:01.1690980Z test_comprehensive_flatten_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.074s) 2022-11-23T01:37:01.1691109Z test_comprehensive_flatten_cpu_float16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1691251Z test_comprehensive_flatten_cpu_float32 (__main__.TestDecompCPU) ... ok (0.041s) 2022-11-23T01:37:01.1691392Z test_comprehensive_flatten_cpu_float64 (__main__.TestDecompCPU) ... ok (0.040s) 2022-11-23T01:37:01.1691533Z test_comprehensive_flatten_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1691676Z test_comprehensive_flatten_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1691815Z test_comprehensive_flatten_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1691955Z test_comprehensive_flatten_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1692095Z test_comprehensive_flatten_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1692232Z test_comprehensive_flip_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1692359Z test_comprehensive_flip_cpu_bool (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.1692501Z test_comprehensive_flip_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.274s) 2022-11-23T01:37:01.1692639Z test_comprehensive_flip_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.275s) 2022-11-23T01:37:01.1692776Z test_comprehensive_flip_cpu_float16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1692917Z test_comprehensive_flip_cpu_float32 (__main__.TestDecompCPU) ... ok (0.156s) 2022-11-23T01:37:01.1693053Z test_comprehensive_flip_cpu_float64 (__main__.TestDecompCPU) ... ok (0.152s) 2022-11-23T01:37:01.1693190Z test_comprehensive_flip_cpu_int16 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.1693329Z test_comprehensive_flip_cpu_int32 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.1693451Z test_comprehensive_flip_cpu_int64 (__main__.TestDecompCPU) ... ok (0.051s) 2022-11-23T01:37:01.1693585Z test_comprehensive_flip_cpu_int8 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.1693719Z test_comprehensive_flip_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.1693860Z test_comprehensive_fliplr_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1693997Z test_comprehensive_fliplr_cpu_bool (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1694140Z test_comprehensive_fliplr_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.055s) 2022-11-23T01:37:01.1694284Z test_comprehensive_fliplr_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.056s) 2022-11-23T01:37:01.1694422Z test_comprehensive_fliplr_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1694550Z test_comprehensive_fliplr_cpu_float32 (__main__.TestDecompCPU) ... ok (0.031s) 2022-11-23T01:37:01.1694735Z test_comprehensive_fliplr_cpu_float64 (__main__.TestDecompCPU) ... ok (0.031s) 2022-11-23T01:37:01.1694876Z test_comprehensive_fliplr_cpu_int16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1695012Z test_comprehensive_fliplr_cpu_int32 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1695151Z test_comprehensive_fliplr_cpu_int64 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1695289Z test_comprehensive_fliplr_cpu_int8 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1695424Z test_comprehensive_fliplr_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1695599Z test_comprehensive_flipud_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1695725Z test_comprehensive_flipud_cpu_bool (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1695872Z test_comprehensive_flipud_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.055s) 2022-11-23T01:37:01.1696020Z test_comprehensive_flipud_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.055s) 2022-11-23T01:37:01.1696161Z test_comprehensive_flipud_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1696305Z test_comprehensive_flipud_cpu_float32 (__main__.TestDecompCPU) ... ok (0.031s) 2022-11-23T01:37:01.1696446Z test_comprehensive_flipud_cpu_float64 (__main__.TestDecompCPU) ... ok (0.031s) 2022-11-23T01:37:01.1696583Z test_comprehensive_flipud_cpu_int16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1696721Z test_comprehensive_flipud_cpu_int32 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1696845Z test_comprehensive_flipud_cpu_int64 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1696984Z test_comprehensive_flipud_cpu_int8 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1697119Z test_comprehensive_flipud_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1697258Z test_comprehensive_float_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1697401Z test_comprehensive_float_cpu_bool (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1697547Z test_comprehensive_float_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.1697692Z test_comprehensive_float_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1697835Z test_comprehensive_float_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.030s) 2022-11-23T01:37:01.1697964Z test_comprehensive_float_cpu_float16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1698104Z test_comprehensive_float_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1698246Z test_comprehensive_float_cpu_float64 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.1698384Z test_comprehensive_float_cpu_int16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1698521Z test_comprehensive_float_cpu_int32 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1698661Z test_comprehensive_float_cpu_int64 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1698907Z test_comprehensive_float_cpu_int8 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1699049Z test_comprehensive_float_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1699188Z test_comprehensive_float_power_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.152s) 2022-11-23T01:37:01.1699334Z test_comprehensive_float_power_cpu_bool (__main__.TestDecompCPU) ... ok (0.127s) 2022-11-23T01:37:01.1699489Z test_comprehensive_float_power_cpu_complex128 (__main__.TestDecompCPU) ... ok (2.914s) 2022-11-23T01:37:01.1699645Z test_comprehensive_float_power_cpu_complex64 (__main__.TestDecompCPU) ... ok (3.203s) 2022-11-23T01:37:01.1699794Z test_comprehensive_float_power_cpu_float16 (__main__.TestDecompCPU) ... ok (0.152s) 2022-11-23T01:37:01.1699938Z test_comprehensive_float_power_cpu_float32 (__main__.TestDecompCPU) ... ok (1.607s) 2022-11-23T01:37:01.1700131Z test_comprehensive_float_power_cpu_float64 (__main__.TestDecompCPU) ... ok (1.447s) 2022-11-23T01:37:01.1700280Z test_comprehensive_float_power_cpu_int16 (__main__.TestDecompCPU) ... ok (0.162s) 2022-11-23T01:37:01.1700409Z test_comprehensive_float_power_cpu_int32 (__main__.TestDecompCPU) ... ok (0.161s) 2022-11-23T01:37:01.1700561Z test_comprehensive_float_power_cpu_int64 (__main__.TestDecompCPU) ... ok (0.161s) 2022-11-23T01:37:01.1700706Z test_comprehensive_float_power_cpu_int8 (__main__.TestDecompCPU) ... ok (0.161s) 2022-11-23T01:37:01.1700852Z test_comprehensive_float_power_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.163s) 2022-11-23T01:37:01.1701031Z test_comprehensive_floor_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1701172Z test_comprehensive_floor_cpu_float32 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.1701315Z test_comprehensive_floor_cpu_float64 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.1701457Z test_comprehensive_floor_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1701596Z test_comprehensive_floor_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1701720Z test_comprehensive_floor_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1701859Z test_comprehensive_floor_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1701994Z test_comprehensive_floor_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1702151Z test_comprehensive_floor_divide_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.039s) 2022-11-23T01:37:01.1702303Z test_comprehensive_floor_divide_cpu_float16 (__main__.TestDecompCPU) ... ok (0.039s) 2022-11-23T01:37:01.1702456Z test_comprehensive_floor_divide_cpu_float32 (__main__.TestDecompCPU) ... ok (0.108s) 2022-11-23T01:37:01.1702606Z test_comprehensive_floor_divide_cpu_float64 (__main__.TestDecompCPU) ... ok (0.104s) 2022-11-23T01:37:01.1702755Z test_comprehensive_floor_divide_cpu_int16 (__main__.TestDecompCPU) ... ok (0.051s) 2022-11-23T01:37:01.1702886Z test_comprehensive_floor_divide_cpu_int32 (__main__.TestDecompCPU) ... ok (0.051s) 2022-11-23T01:37:01.1703033Z test_comprehensive_floor_divide_cpu_int64 (__main__.TestDecompCPU) ... ok (0.050s) 2022-11-23T01:37:01.1703176Z test_comprehensive_floor_divide_cpu_int8 (__main__.TestDecompCPU) ... ok (0.051s) 2022-11-23T01:37:01.1703321Z test_comprehensive_floor_divide_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.1703465Z test_comprehensive_fmax_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.231s) 2022-11-23T01:37:01.1703602Z test_comprehensive_fmax_cpu_bool (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1703745Z test_comprehensive_fmax_cpu_float16 (__main__.TestDecompCPU) ... ok (0.233s) 2022-11-23T01:37:01.1703884Z test_comprehensive_fmax_cpu_float32 (__main__.TestDecompCPU) ... ok (0.854s) 2022-11-23T01:37:01.1704010Z test_comprehensive_fmax_cpu_float64 (__main__.TestDecompCPU) ... ok (0.843s) 2022-11-23T01:37:01.1704150Z test_comprehensive_fmax_cpu_int16 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.1704289Z test_comprehensive_fmax_cpu_int32 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.1704426Z test_comprehensive_fmax_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1704563Z test_comprehensive_fmax_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1704701Z test_comprehensive_fmax_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1704843Z test_comprehensive_fmin_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.230s) 2022-11-23T01:37:01.1704980Z test_comprehensive_fmin_cpu_bool (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1705104Z test_comprehensive_fmin_cpu_float16 (__main__.TestDecompCPU) ... ok (0.234s) 2022-11-23T01:37:01.1705243Z test_comprehensive_fmin_cpu_float32 (__main__.TestDecompCPU) ... ok (0.853s) 2022-11-23T01:37:01.1705410Z test_comprehensive_fmin_cpu_float64 (__main__.TestDecompCPU) ... ok (0.843s) 2022-11-23T01:37:01.1705549Z test_comprehensive_fmin_cpu_int16 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1705686Z test_comprehensive_fmin_cpu_int32 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1705823Z test_comprehensive_fmin_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1705961Z test_comprehensive_fmin_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1706095Z test_comprehensive_fmin_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1706222Z test_comprehensive_fmod_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.039s) 2022-11-23T01:37:01.1706394Z test_comprehensive_fmod_cpu_float16 (__main__.TestDecompCPU) ... ok (0.041s) 2022-11-23T01:37:01.1706533Z test_comprehensive_fmod_cpu_float32 (__main__.TestDecompCPU) ... ok (0.555s) 2022-11-23T01:37:01.1706670Z test_comprehensive_fmod_cpu_float64 (__main__.TestDecompCPU) ... ok (0.538s) 2022-11-23T01:37:01.1706811Z test_comprehensive_fmod_cpu_int16 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.1706950Z test_comprehensive_fmod_cpu_int32 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.1707086Z test_comprehensive_fmod_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1707222Z test_comprehensive_fmod_cpu_int8 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.1707343Z test_comprehensive_fmod_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.1707484Z test_comprehensive_frac_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1707628Z test_comprehensive_frac_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1707766Z test_comprehensive_frac_cpu_float32 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.1707906Z test_comprehensive_frac_cpu_float64 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.1708052Z test_comprehensive_frexp_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1708263Z test_comprehensive_frexp_cpu_float16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1708405Z test_comprehensive_frexp_cpu_float32 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.1708529Z test_comprehensive_frexp_cpu_float64 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.1708672Z test_comprehensive_full_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1708808Z test_comprehensive_full_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1708951Z test_comprehensive_full_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1709098Z test_comprehensive_full_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1709241Z test_comprehensive_full_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1709382Z test_comprehensive_full_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1709526Z test_comprehensive_full_cpu_float32 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1709650Z test_comprehensive_full_cpu_float64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1709789Z test_comprehensive_full_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1709924Z test_comprehensive_full_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1710058Z test_comprehensive_full_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1710198Z test_comprehensive_full_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1710336Z test_comprehensive_full_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1710486Z test_comprehensive_full_like_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1710629Z test_comprehensive_full_like_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1710801Z test_comprehensive_full_like_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1710952Z test_comprehensive_full_like_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1711099Z test_comprehensive_full_like_cpu_float16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1711242Z test_comprehensive_full_like_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1711383Z test_comprehensive_full_like_cpu_float64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1711526Z test_comprehensive_full_like_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1711700Z test_comprehensive_full_like_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1711841Z test_comprehensive_full_like_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1711986Z test_comprehensive_full_like_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1712115Z test_comprehensive_full_like_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1712260Z test_comprehensive_gather_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1712404Z test_comprehensive_gather_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1712551Z test_comprehensive_gather_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.1712699Z test_comprehensive_gather_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1712842Z test_comprehensive_gather_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1712985Z test_comprehensive_gather_cpu_float32 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1713130Z test_comprehensive_gather_cpu_float64 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1713256Z test_comprehensive_gather_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1713396Z test_comprehensive_gather_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1713539Z test_comprehensive_gather_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1713680Z test_comprehensive_gather_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1713817Z test_comprehensive_gather_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1713956Z test_comprehensive_gcd_cpu_int16 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1714092Z test_comprehensive_gcd_cpu_int32 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1714232Z test_comprehensive_gcd_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1714357Z test_comprehensive_gcd_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1714492Z test_comprehensive_gcd_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1714632Z test_comprehensive_ge_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.042s) 2022-11-23T01:37:01.1714769Z test_comprehensive_ge_cpu_bool (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.1714908Z test_comprehensive_ge_cpu_float16 (__main__.TestDecompCPU) ... ok (0.044s) 2022-11-23T01:37:01.1715045Z test_comprehensive_ge_cpu_float32 (__main__.TestDecompCPU) ... ok (0.076s) 2022-11-23T01:37:01.1715182Z test_comprehensive_ge_cpu_float64 (__main__.TestDecompCPU) ... ok (0.074s) 2022-11-23T01:37:01.1715316Z test_comprehensive_ge_cpu_int16 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1715435Z test_comprehensive_ge_cpu_int32 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1715565Z test_comprehensive_ge_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1715703Z test_comprehensive_ge_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1715836Z test_comprehensive_ge_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.1715982Z test_comprehensive_geqrf_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1716156Z test_comprehensive_geqrf_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1716303Z test_comprehensive_geqrf_cpu_float32 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1716444Z test_comprehensive_geqrf_cpu_float64 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.1716579Z test_comprehensive_gradient_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.432s) 2022-11-23T01:37:01.1716730Z test_comprehensive_gradient_cpu_complex128 (__main__.TestDecompCPU) ... ok (3.524s) 2022-11-23T01:37:01.1716879Z test_comprehensive_gradient_cpu_complex64 (__main__.TestDecompCPU) ... ok (3.656s) 2022-11-23T01:37:01.1717067Z test_comprehensive_gradient_cpu_float16 (__main__.TestDecompCPU) ... ok (0.474s) 2022-11-23T01:37:01.1717210Z test_comprehensive_gradient_cpu_float32 (__main__.TestDecompCPU) ... ok (2.197s) 2022-11-23T01:37:01.1717350Z test_comprehensive_gradient_cpu_float64 (__main__.TestDecompCPU) ... ok (2.105s) 2022-11-23T01:37:01.1717500Z test_comprehensive_gradient_cpu_int16 (__main__.TestDecompCPU) ... ok (0.679s) 2022-11-23T01:37:01.1717647Z test_comprehensive_gradient_cpu_int32 (__main__.TestDecompCPU) ... ok (0.678s) 2022-11-23T01:37:01.1717776Z test_comprehensive_gradient_cpu_int64 (__main__.TestDecompCPU) ... ok (0.666s) 2022-11-23T01:37:01.1717919Z test_comprehensive_gradient_cpu_int8 (__main__.TestDecompCPU) ... ok (0.676s) 2022-11-23T01:37:01.1718073Z test_comprehensive_grid_sampler_2d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.785s) 2022-11-23T01:37:01.1718228Z test_comprehensive_grid_sampler_2d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.763s) 2022-11-23T01:37:01.1718371Z test_comprehensive_gt_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.042s) 2022-11-23T01:37:01.1718505Z test_comprehensive_gt_cpu_bool (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.1718644Z test_comprehensive_gt_cpu_float16 (__main__.TestDecompCPU) ... ok (0.043s) 2022-11-23T01:37:01.1718784Z test_comprehensive_gt_cpu_float32 (__main__.TestDecompCPU) ... ok (0.075s) 2022-11-23T01:37:01.1718907Z test_comprehensive_gt_cpu_float64 (__main__.TestDecompCPU) ... ok (0.074s) 2022-11-23T01:37:01.1719044Z test_comprehensive_gt_cpu_int16 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1719176Z test_comprehensive_gt_cpu_int32 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.1719310Z test_comprehensive_gt_cpu_int64 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.1719443Z test_comprehensive_gt_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1719579Z test_comprehensive_gt_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1719725Z test_comprehensive_half_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1719863Z test_comprehensive_half_cpu_bool (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1719994Z test_comprehensive_half_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.1720139Z test_comprehensive_half_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.030s) 2022-11-23T01:37:01.1720282Z test_comprehensive_half_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1720422Z test_comprehensive_half_cpu_float32 (__main__.TestDecompCPU) ... ok (0.024s) 2022-11-23T01:37:01.1720567Z test_comprehensive_half_cpu_float64 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.1720704Z test_comprehensive_half_cpu_int16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1720843Z test_comprehensive_half_cpu_int32 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1720979Z test_comprehensive_half_cpu_int64 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1721105Z test_comprehensive_half_cpu_int8 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1721242Z test_comprehensive_half_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1721392Z test_comprehensive_heaviside_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.1721572Z test_comprehensive_heaviside_cpu_bool (__main__.TestDecompCPU) ... ok (0.057s) 2022-11-23T01:37:01.1721724Z test_comprehensive_heaviside_cpu_float16 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.1721869Z test_comprehensive_heaviside_cpu_float32 (__main__.TestDecompCPU) ... ok (0.084s) 2022-11-23T01:37:01.1722017Z test_comprehensive_heaviside_cpu_float64 (__main__.TestDecompCPU) ... ok (0.083s) 2022-11-23T01:37:01.1722160Z test_comprehensive_heaviside_cpu_int16 (__main__.TestDecompCPU) ... ok (0.056s) 2022-11-23T01:37:01.1722292Z test_comprehensive_heaviside_cpu_int32 (__main__.TestDecompCPU) ... ok (0.056s) 2022-11-23T01:37:01.1722464Z test_comprehensive_heaviside_cpu_int64 (__main__.TestDecompCPU) ... ok (0.054s) 2022-11-23T01:37:01.1722609Z test_comprehensive_heaviside_cpu_int8 (__main__.TestDecompCPU) ... ok (0.056s) 2022-11-23T01:37:01.1722756Z test_comprehensive_heaviside_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.056s) 2022-11-23T01:37:01.1722901Z test_comprehensive_histc_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1723042Z test_comprehensive_histc_cpu_float32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1723181Z test_comprehensive_histc_cpu_float64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1723330Z test_comprehensive_histogram_cpu_float32 (__main__.TestDecompCPU) ... ok (0.045s) 2022-11-23T01:37:01.1723478Z test_comprehensive_histogram_cpu_float64 (__main__.TestDecompCPU) ... ok (0.042s) 2022-11-23T01:37:01.1723617Z test_comprehensive_histogramdd_cpu_float32 (__main__.TestDecompCPU) ... ok (0.051s) 2022-11-23T01:37:01.1723770Z test_comprehensive_histogramdd_cpu_float64 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.1723913Z test_comprehensive_hsplit_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1724055Z test_comprehensive_hsplit_cpu_bool (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.1724202Z test_comprehensive_hsplit_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.140s) 2022-11-23T01:37:01.1724351Z test_comprehensive_hsplit_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.065s) 2022-11-23T01:37:01.1724497Z test_comprehensive_hsplit_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.144s) 2022-11-23T01:37:01.1724641Z test_comprehensive_hsplit_cpu_float16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.1724770Z test_comprehensive_hsplit_cpu_float32 (__main__.TestDecompCPU) ... ok (0.082s) 2022-11-23T01:37:01.1724913Z test_comprehensive_hsplit_cpu_float64 (__main__.TestDecompCPU) ... ok (0.081s) 2022-11-23T01:37:01.1725056Z test_comprehensive_hsplit_cpu_int16 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.1725196Z test_comprehensive_hsplit_cpu_int32 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.1725337Z test_comprehensive_hsplit_cpu_int64 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.1725478Z test_comprehensive_hsplit_cpu_int8 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.1725617Z test_comprehensive_hsplit_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.1725765Z test_comprehensive_hstack_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1725889Z test_comprehensive_hstack_cpu_bool (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1726039Z test_comprehensive_hstack_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.058s) 2022-11-23T01:37:01.1726186Z test_comprehensive_hstack_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.1726330Z test_comprehensive_hstack_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.1726474Z test_comprehensive_hstack_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1726616Z test_comprehensive_hstack_cpu_float32 (__main__.TestDecompCPU) ... ok (0.033s) 2022-11-23T01:37:01.1726756Z test_comprehensive_hstack_cpu_float64 (__main__.TestDecompCPU) ... ok (0.032s) 2022-11-23T01:37:01.1726925Z test_comprehensive_hstack_cpu_int16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1727052Z test_comprehensive_hstack_cpu_int32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1727191Z test_comprehensive_hstack_cpu_int64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1727330Z test_comprehensive_hstack_cpu_int8 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1727465Z test_comprehensive_hstack_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1727604Z test_comprehensive_hypot_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.045s) 2022-11-23T01:37:01.1727772Z test_comprehensive_hypot_cpu_float32 (__main__.TestDecompCPU) ... ok (0.859s) 2022-11-23T01:37:01.1727913Z test_comprehensive_hypot_cpu_float64 (__main__.TestDecompCPU) ... ok (0.852s) 2022-11-23T01:37:01.1728049Z test_comprehensive_i0_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1728173Z test_comprehensive_i0_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1728311Z test_comprehensive_i0_cpu_float32 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1728447Z test_comprehensive_i0_cpu_float64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1728581Z test_comprehensive_i0_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1728718Z test_comprehensive_i0_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1728849Z test_comprehensive_i0_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1728983Z test_comprehensive_i0_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1729118Z test_comprehensive_i0_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1729249Z test_comprehensive_igamma_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.1729393Z test_comprehensive_igamma_cpu_float16 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.1729538Z test_comprehensive_igamma_cpu_float32 (__main__.TestDecompCPU) ... ok (0.078s) 2022-11-23T01:37:01.1729680Z test_comprehensive_igamma_cpu_float64 (__main__.TestDecompCPU) ... ok (0.076s) 2022-11-23T01:37:01.1729827Z test_comprehensive_igammac_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.1729970Z test_comprehensive_igammac_cpu_float16 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.1730115Z test_comprehensive_igammac_cpu_float32 (__main__.TestDecompCPU) ... ok (0.077s) 2022-11-23T01:37:01.1730257Z test_comprehensive_igammac_cpu_float64 (__main__.TestDecompCPU) ... ok (0.076s) 2022-11-23T01:37:01.1730388Z test_comprehensive_imag_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1730530Z test_comprehensive_imag_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1730672Z test_comprehensive_imag_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1730822Z test_comprehensive_index_add_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.1730964Z test_comprehensive_index_add_cpu_bool (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1731115Z test_comprehensive_index_add_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.133s) 2022-11-23T01:37:01.1731265Z test_comprehensive_index_add_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.055s) 2022-11-23T01:37:01.1731409Z test_comprehensive_index_add_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.140s) 2022-11-23T01:37:01.1731556Z test_comprehensive_index_add_cpu_float16 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.1731687Z test_comprehensive_index_add_cpu_float32 (__main__.TestDecompCPU) ... ok (0.085s) 2022-11-23T01:37:01.1731827Z test_comprehensive_index_add_cpu_float64 (__main__.TestDecompCPU) ... ok (0.081s) 2022-11-23T01:37:01.1731968Z test_comprehensive_index_add_cpu_int16 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.1732150Z test_comprehensive_index_add_cpu_int32 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.1732293Z test_comprehensive_index_add_cpu_int64 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1732437Z test_comprehensive_index_add_cpu_int8 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.1732579Z test_comprehensive_index_add_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.1732727Z test_comprehensive_index_copy_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1732855Z test_comprehensive_index_copy_cpu_bool (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1733042Z test_comprehensive_index_copy_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.045s) 2022-11-23T01:37:01.1733193Z test_comprehensive_index_copy_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.1733340Z test_comprehensive_index_copy_cpu_float16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1733486Z test_comprehensive_index_copy_cpu_float32 (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.1733628Z test_comprehensive_index_copy_cpu_float64 (__main__.TestDecompCPU) ... ok (0.028s) 2022-11-23T01:37:01.1733775Z test_comprehensive_index_copy_cpu_int16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1733916Z test_comprehensive_index_copy_cpu_int32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1734041Z test_comprehensive_index_copy_cpu_int64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1734182Z test_comprehensive_index_copy_cpu_int8 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1734326Z test_comprehensive_index_copy_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1734475Z test_comprehensive_index_fill_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1734617Z test_comprehensive_index_fill_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1734773Z test_comprehensive_index_fill_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.1734923Z test_comprehensive_index_fill_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.1735069Z test_comprehensive_index_fill_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1735200Z test_comprehensive_index_fill_cpu_float32 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.1735340Z test_comprehensive_index_fill_cpu_float64 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.1735484Z test_comprehensive_index_fill_cpu_int16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1735624Z test_comprehensive_index_fill_cpu_int32 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1735763Z test_comprehensive_index_fill_cpu_int64 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1735904Z test_comprehensive_index_fill_cpu_int8 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1736052Z test_comprehensive_index_fill_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1736196Z test_comprehensive_index_put_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1736341Z test_comprehensive_index_put_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1736480Z test_comprehensive_index_put_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1736629Z test_comprehensive_index_put_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1736776Z test_comprehensive_index_put_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.1736923Z test_comprehensive_index_put_cpu_float16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1737068Z test_comprehensive_index_put_cpu_float32 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.1737212Z test_comprehensive_index_put_cpu_float64 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.1737385Z test_comprehensive_index_put_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1737529Z test_comprehensive_index_put_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1737657Z test_comprehensive_index_put_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1737802Z test_comprehensive_index_put_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1737945Z test_comprehensive_index_put_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1738098Z test_comprehensive_index_reduce_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.450s) 2022-11-23T01:37:01.1738248Z test_comprehensive_index_reduce_cpu_float16 (__main__.TestDecompCPU) ... ok (0.461s) 2022-11-23T01:37:01.1738428Z test_comprehensive_index_reduce_cpu_float32 (__main__.TestDecompCPU) ... ok (2.467s) 2022-11-23T01:37:01.1738578Z test_comprehensive_index_reduce_cpu_float64 (__main__.TestDecompCPU) ... ok (2.665s) 2022-11-23T01:37:01.1738726Z test_comprehensive_index_reduce_cpu_int16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1739007Z test_comprehensive_index_reduce_cpu_int32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1739149Z test_comprehensive_index_reduce_cpu_int64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1739293Z test_comprehensive_index_reduce_cpu_int8 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1739436Z test_comprehensive_index_reduce_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1739588Z test_comprehensive_index_select_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1739735Z test_comprehensive_index_select_cpu_bool (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1739900Z test_comprehensive_index_select_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.033s) 2022-11-23T01:37:01.1740052Z test_comprehensive_index_select_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1740192Z test_comprehensive_index_select_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.035s) 2022-11-23T01:37:01.1740341Z test_comprehensive_index_select_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1740486Z test_comprehensive_index_select_cpu_float32 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.1740630Z test_comprehensive_index_select_cpu_float64 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.1740773Z test_comprehensive_index_select_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1740916Z test_comprehensive_index_select_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1741057Z test_comprehensive_index_select_cpu_int64 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1741199Z test_comprehensive_index_select_cpu_int8 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1741340Z test_comprehensive_index_select_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1741472Z test_comprehensive_inner_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.1741616Z test_comprehensive_inner_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.067s) 2022-11-23T01:37:01.1741761Z test_comprehensive_inner_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.077s) 2022-11-23T01:37:01.1741901Z test_comprehensive_inner_cpu_float32 (__main__.TestDecompCPU) ... ok (0.042s) 2022-11-23T01:37:01.1742043Z test_comprehensive_inner_cpu_float64 (__main__.TestDecompCPU) ... ok (0.042s) 2022-11-23T01:37:01.1742179Z test_comprehensive_inner_cpu_int16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1742315Z test_comprehensive_inner_cpu_int32 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1742455Z test_comprehensive_inner_cpu_int64 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1742581Z test_comprehensive_inner_cpu_int8 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1742715Z test_comprehensive_inner_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1742905Z test_comprehensive_int_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1743041Z test_comprehensive_int_cpu_bool (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1743185Z test_comprehensive_int_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.1743327Z test_comprehensive_int_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.1743465Z test_comprehensive_int_cpu_float16 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.1743603Z test_comprehensive_int_cpu_float32 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.1743766Z test_comprehensive_int_cpu_float64 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1743903Z test_comprehensive_int_cpu_int16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1744037Z test_comprehensive_int_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1744175Z test_comprehensive_int_cpu_int64 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1744313Z test_comprehensive_int_cpu_int8 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1744446Z test_comprehensive_int_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1744592Z test_comprehensive_isclose_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.553s) 2022-11-23T01:37:01.1744734Z test_comprehensive_isclose_cpu_bool (__main__.TestDecompCPU) ... ok (1.334s) 2022-11-23T01:37:01.1744869Z test_comprehensive_isclose_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.579s) 2022-11-23T01:37:01.1745016Z test_comprehensive_isclose_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.596s) 2022-11-23T01:37:01.1745162Z test_comprehensive_isclose_cpu_float16 (__main__.TestDecompCPU) ... ok (0.490s) 2022-11-23T01:37:01.1745307Z test_comprehensive_isclose_cpu_float32 (__main__.TestDecompCPU) ... ok (1.261s) 2022-11-23T01:37:01.1745452Z test_comprehensive_isclose_cpu_float64 (__main__.TestDecompCPU) ... ok (1.218s) 2022-11-23T01:37:01.1745596Z test_comprehensive_isclose_cpu_int16 (__main__.TestDecompCPU) ... ok (1.546s) 2022-11-23T01:37:01.1745738Z test_comprehensive_isclose_cpu_int32 (__main__.TestDecompCPU) ... ok (1.536s) 2022-11-23T01:37:01.1745880Z test_comprehensive_isclose_cpu_int64 (__main__.TestDecompCPU) ... ok (1.558s) 2022-11-23T01:37:01.1746008Z test_comprehensive_isclose_cpu_int8 (__main__.TestDecompCPU) ... ok (1.543s) 2022-11-23T01:37:01.1746149Z test_comprehensive_isclose_cpu_uint8 (__main__.TestDecompCPU) ... ok (1.505s) 2022-11-23T01:37:01.1746298Z test_comprehensive_isfinite_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1746440Z test_comprehensive_isfinite_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1746591Z test_comprehensive_isfinite_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.038s) 2022-11-23T01:37:01.1746741Z test_comprehensive_isfinite_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.043s) 2022-11-23T01:37:01.1746889Z test_comprehensive_isfinite_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.040s) 2022-11-23T01:37:01.1747035Z test_comprehensive_isfinite_cpu_float16 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.1747162Z test_comprehensive_isfinite_cpu_float32 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.1747302Z test_comprehensive_isfinite_cpu_float64 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.1747448Z test_comprehensive_isfinite_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1747591Z test_comprehensive_isfinite_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1747737Z test_comprehensive_isfinite_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1747879Z test_comprehensive_isfinite_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1748019Z test_comprehensive_isfinite_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1748299Z test_comprehensive_isin_cpu_float32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1748431Z test_comprehensive_isin_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1748572Z test_comprehensive_isin_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1748709Z test_comprehensive_isin_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1748844Z test_comprehensive_isin_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1748980Z test_comprehensive_isin_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1749115Z test_comprehensive_isin_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1749290Z test_comprehensive_isinf_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1749424Z test_comprehensive_isinf_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1749570Z test_comprehensive_isinf_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.040s) 2022-11-23T01:37:01.1749705Z test_comprehensive_isinf_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.041s) 2022-11-23T01:37:01.1749850Z test_comprehensive_isinf_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.041s) 2022-11-23T01:37:01.1749992Z test_comprehensive_isinf_cpu_float16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1750133Z test_comprehensive_isinf_cpu_float32 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.1750273Z test_comprehensive_isinf_cpu_float64 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.1750413Z test_comprehensive_isinf_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1750554Z test_comprehensive_isinf_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1750691Z test_comprehensive_isinf_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1750815Z test_comprehensive_isinf_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1750956Z test_comprehensive_isinf_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1751100Z test_comprehensive_isnan_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1751238Z test_comprehensive_isnan_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1751387Z test_comprehensive_isnan_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.039s) 2022-11-23T01:37:01.1751531Z test_comprehensive_isnan_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.039s) 2022-11-23T01:37:01.1751672Z test_comprehensive_isnan_cpu_float16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1751812Z test_comprehensive_isnan_cpu_float32 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.1751941Z test_comprehensive_isnan_cpu_float64 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.1752079Z test_comprehensive_isnan_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1752216Z test_comprehensive_isnan_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1752352Z test_comprehensive_isnan_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1752490Z test_comprehensive_isnan_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1752625Z test_comprehensive_isnan_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1752771Z test_comprehensive_isneginf_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1752909Z test_comprehensive_isneginf_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1753041Z test_comprehensive_isneginf_cpu_float16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1753184Z test_comprehensive_isneginf_cpu_float32 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.1753323Z test_comprehensive_isneginf_cpu_float64 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.1753465Z test_comprehensive_isneginf_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1753635Z test_comprehensive_isneginf_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1753778Z test_comprehensive_isneginf_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1753919Z test_comprehensive_isneginf_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1754057Z test_comprehensive_isneginf_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1754194Z test_comprehensive_isposinf_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1754335Z test_comprehensive_isposinf_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1754507Z test_comprehensive_isposinf_cpu_float16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1754647Z test_comprehensive_isposinf_cpu_float32 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.1754785Z test_comprehensive_isposinf_cpu_float64 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.1754929Z test_comprehensive_isposinf_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1755069Z test_comprehensive_isposinf_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1755205Z test_comprehensive_isposinf_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1755331Z test_comprehensive_isposinf_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1755471Z test_comprehensive_isposinf_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1755614Z test_comprehensive_isreal_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1755754Z test_comprehensive_isreal_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1755901Z test_comprehensive_isreal_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1756046Z test_comprehensive_isreal_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1756189Z test_comprehensive_isreal_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1756331Z test_comprehensive_isreal_cpu_float16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1756458Z test_comprehensive_isreal_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1756597Z test_comprehensive_isreal_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1756735Z test_comprehensive_isreal_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1756873Z test_comprehensive_isreal_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1757009Z test_comprehensive_isreal_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1757148Z test_comprehensive_isreal_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1757284Z test_comprehensive_isreal_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1757426Z test_comprehensive_istft_cpu_complex128 (__main__.TestDecompCPU) ... ok (2.577s) 2022-11-23T01:37:01.1757558Z test_comprehensive_istft_cpu_complex64 (__main__.TestDecompCPU) ... ok (2.504s) 2022-11-23T01:37:01.1757753Z test_comprehensive_jiterator_2inputs_2outputs_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1757939Z test_comprehensive_jiterator_2inputs_2outputs_cpu_bool (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1758129Z test_comprehensive_jiterator_2inputs_2outputs_cpu_complex128 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1758321Z test_comprehensive_jiterator_2inputs_2outputs_cpu_complex64 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1758509Z test_comprehensive_jiterator_2inputs_2outputs_cpu_float16 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1758693Z test_comprehensive_jiterator_2inputs_2outputs_cpu_float32 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1758911Z test_comprehensive_jiterator_2inputs_2outputs_cpu_float64 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1759095Z test_comprehensive_jiterator_2inputs_2outputs_cpu_int16 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1759273Z test_comprehensive_jiterator_2inputs_2outputs_cpu_int32 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1759444Z test_comprehensive_jiterator_2inputs_2outputs_cpu_int64 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1759624Z test_comprehensive_jiterator_2inputs_2outputs_cpu_int8 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1759835Z test_comprehensive_jiterator_2inputs_2outputs_cpu_uint8 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1760029Z test_comprehensive_jiterator_4inputs_with_extra_args_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1760220Z test_comprehensive_jiterator_4inputs_with_extra_args_cpu_bool (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1760418Z test_comprehensive_jiterator_4inputs_with_extra_args_cpu_complex128 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1760611Z test_comprehensive_jiterator_4inputs_with_extra_args_cpu_complex64 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1760805Z test_comprehensive_jiterator_4inputs_with_extra_args_cpu_float16 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1761002Z test_comprehensive_jiterator_4inputs_with_extra_args_cpu_float32 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1761192Z test_comprehensive_jiterator_4inputs_with_extra_args_cpu_float64 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1761371Z test_comprehensive_jiterator_4inputs_with_extra_args_cpu_int16 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1761561Z test_comprehensive_jiterator_4inputs_with_extra_args_cpu_int32 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1761749Z test_comprehensive_jiterator_4inputs_with_extra_args_cpu_int64 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1761934Z test_comprehensive_jiterator_4inputs_with_extra_args_cpu_int8 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1762117Z test_comprehensive_jiterator_4inputs_with_extra_args_cpu_uint8 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1762298Z test_comprehensive_jiterator_binary_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1762474Z test_comprehensive_jiterator_binary_cpu_bool (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1762657Z test_comprehensive_jiterator_binary_cpu_complex128 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1762838Z test_comprehensive_jiterator_binary_cpu_complex64 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1763016Z test_comprehensive_jiterator_binary_cpu_float16 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1763178Z test_comprehensive_jiterator_binary_cpu_float32 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1763354Z test_comprehensive_jiterator_binary_cpu_float64 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1763528Z test_comprehensive_jiterator_binary_cpu_int16 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1763699Z test_comprehensive_jiterator_binary_cpu_int32 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1763896Z test_comprehensive_jiterator_binary_cpu_int64 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1764070Z test_comprehensive_jiterator_binary_cpu_int8 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1764241Z test_comprehensive_jiterator_binary_cpu_uint8 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1764428Z test_comprehensive_jiterator_binary_return_by_ref_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1764614Z test_comprehensive_jiterator_binary_return_by_ref_cpu_bool (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1764823Z test_comprehensive_jiterator_binary_return_by_ref_cpu_complex128 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1765013Z test_comprehensive_jiterator_binary_return_by_ref_cpu_complex64 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1765201Z test_comprehensive_jiterator_binary_return_by_ref_cpu_float16 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1765387Z test_comprehensive_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1765572Z test_comprehensive_jiterator_binary_return_by_ref_cpu_float64 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1765754Z test_comprehensive_jiterator_binary_return_by_ref_cpu_int16 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1765937Z test_comprehensive_jiterator_binary_return_by_ref_cpu_int32 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1766123Z test_comprehensive_jiterator_binary_return_by_ref_cpu_int64 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1766309Z test_comprehensive_jiterator_binary_return_by_ref_cpu_int8 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1766491Z test_comprehensive_jiterator_binary_return_by_ref_cpu_uint8 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1766655Z test_comprehensive_jiterator_unary_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1766830Z test_comprehensive_jiterator_unary_cpu_bool (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1767005Z test_comprehensive_jiterator_unary_cpu_complex128 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1767183Z test_comprehensive_jiterator_unary_cpu_complex64 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1767359Z test_comprehensive_jiterator_unary_cpu_float16 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1767531Z test_comprehensive_jiterator_unary_cpu_float32 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1767705Z test_comprehensive_jiterator_unary_cpu_float64 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1767878Z test_comprehensive_jiterator_unary_cpu_int16 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1768048Z test_comprehensive_jiterator_unary_cpu_int32 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1768205Z test_comprehensive_jiterator_unary_cpu_int64 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1768375Z test_comprehensive_jiterator_unary_cpu_int8 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1768546Z test_comprehensive_jiterator_unary_cpu_uint8 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:37:01.1768692Z test_comprehensive_kron_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.1768830Z test_comprehensive_kron_cpu_bool (__main__.TestDecompCPU) ... ok (0.073s) 2022-11-23T01:37:01.1769013Z test_comprehensive_kron_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.765s) 2022-11-23T01:37:01.1769159Z test_comprehensive_kron_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.769s) 2022-11-23T01:37:01.1769298Z test_comprehensive_kron_cpu_float16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.1769437Z test_comprehensive_kron_cpu_float32 (__main__.TestDecompCPU) ... ok (0.393s) 2022-11-23T01:37:01.1769563Z test_comprehensive_kron_cpu_float64 (__main__.TestDecompCPU) ... ok (0.389s) 2022-11-23T01:37:01.1769699Z test_comprehensive_kron_cpu_int16 (__main__.TestDecompCPU) ... ok (0.073s) 2022-11-23T01:37:01.1769899Z test_comprehensive_kron_cpu_int32 (__main__.TestDecompCPU) ... ok (0.073s) 2022-11-23T01:37:01.1770034Z test_comprehensive_kron_cpu_int64 (__main__.TestDecompCPU) ... ok (0.072s) 2022-11-23T01:37:01.1770167Z test_comprehensive_kron_cpu_int8 (__main__.TestDecompCPU) ... ok (0.073s) 2022-11-23T01:37:01.1770303Z test_comprehensive_kron_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.073s) 2022-11-23T01:37:01.1770449Z test_comprehensive_kthvalue_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1770594Z test_comprehensive_kthvalue_cpu_float32 (__main__.TestDecompCPU) ... ok (0.026s) 2022-11-23T01:37:01.1770729Z test_comprehensive_kthvalue_cpu_float64 (__main__.TestDecompCPU) ... ok (0.025s) 2022-11-23T01:37:01.1770868Z test_comprehensive_kthvalue_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1771009Z test_comprehensive_kthvalue_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1771150Z test_comprehensive_kthvalue_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1771291Z test_comprehensive_kthvalue_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1771430Z test_comprehensive_kthvalue_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1771566Z test_comprehensive_lcm_cpu_int16 (__main__.TestDecompCPU) ... ok (0.051s) 2022-11-23T01:37:01.1771703Z test_comprehensive_lcm_cpu_int32 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.1771822Z test_comprehensive_lcm_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1771959Z test_comprehensive_lcm_cpu_int8 (__main__.TestDecompCPU) ... ok (0.051s) 2022-11-23T01:37:01.1772092Z test_comprehensive_lcm_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.1772232Z test_comprehensive_ldexp_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.050s) 2022-11-23T01:37:01.1772372Z test_comprehensive_ldexp_cpu_bool (__main__.TestDecompCPU) ... ok (0.101s) 2022-11-23T01:37:01.1772521Z test_comprehensive_ldexp_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.313s) 2022-11-23T01:37:01.1772664Z test_comprehensive_ldexp_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.326s) 2022-11-23T01:37:01.1772807Z test_comprehensive_ldexp_cpu_float16 (__main__.TestDecompCPU) ... ok (0.054s) 2022-11-23T01:37:01.1772938Z test_comprehensive_ldexp_cpu_float32 (__main__.TestDecompCPU) ... ok (0.622s) 2022-11-23T01:37:01.1773076Z test_comprehensive_ldexp_cpu_float64 (__main__.TestDecompCPU) ... ok (0.610s) 2022-11-23T01:37:01.1773216Z test_comprehensive_ldexp_cpu_int16 (__main__.TestDecompCPU) ... ok (0.087s) 2022-11-23T01:37:01.1773353Z test_comprehensive_ldexp_cpu_int32 (__main__.TestDecompCPU) ... ok (0.087s) 2022-11-23T01:37:01.1773488Z test_comprehensive_ldexp_cpu_int64 (__main__.TestDecompCPU) ... ok (0.087s) 2022-11-23T01:37:01.1773624Z test_comprehensive_ldexp_cpu_int8 (__main__.TestDecompCPU) ... ok (0.087s) 2022-11-23T01:37:01.1773758Z test_comprehensive_ldexp_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.101s) 2022-11-23T01:37:01.1773895Z test_comprehensive_le_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.042s) 2022-11-23T01:37:01.1774016Z test_comprehensive_le_cpu_bool (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.1774152Z test_comprehensive_le_cpu_float16 (__main__.TestDecompCPU) ... ok (0.044s) 2022-11-23T01:37:01.1774313Z test_comprehensive_le_cpu_float32 (__main__.TestDecompCPU) ... ok (0.077s) 2022-11-23T01:37:01.1774451Z test_comprehensive_le_cpu_float64 (__main__.TestDecompCPU) ... ok (0.074s) 2022-11-23T01:37:01.1774584Z test_comprehensive_le_cpu_int16 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.1774717Z test_comprehensive_le_cpu_int32 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1774851Z test_comprehensive_le_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1774983Z test_comprehensive_le_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1775129Z test_comprehensive_le_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1775269Z test_comprehensive_lerp_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.062s) 2022-11-23T01:37:01.1775413Z test_comprehensive_lerp_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.959s) 2022-11-23T01:37:01.1775560Z test_comprehensive_lerp_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.989s) 2022-11-23T01:37:01.1775700Z test_comprehensive_lerp_cpu_float32 (__main__.TestDecompCPU) ... ok (0.409s) 2022-11-23T01:37:01.1775841Z test_comprehensive_lerp_cpu_float64 (__main__.TestDecompCPU) ... ok (0.396s) 2022-11-23T01:37:01.1775986Z test_comprehensive_lgamma_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1776127Z test_comprehensive_lgamma_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1776256Z test_comprehensive_lgamma_cpu_float32 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1776397Z test_comprehensive_lgamma_cpu_float64 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.1776536Z test_comprehensive_lgamma_cpu_int16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1776676Z test_comprehensive_lgamma_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1776815Z test_comprehensive_lgamma_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1776954Z test_comprehensive_lgamma_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1777089Z test_comprehensive_lgamma_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1777245Z test_comprehensive_linalg_cholesky_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.477s) 2022-11-23T01:37:01.1777390Z test_comprehensive_linalg_cholesky_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.493s) 2022-11-23T01:37:01.1777543Z test_comprehensive_linalg_cholesky_cpu_float32 (__main__.TestDecompCPU) ... ok (0.297s) 2022-11-23T01:37:01.1777693Z test_comprehensive_linalg_cholesky_cpu_float64 (__main__.TestDecompCPU) ... ok (0.287s) 2022-11-23T01:37:01.1777860Z test_comprehensive_linalg_cholesky_ex_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.474s) 2022-11-23T01:37:01.1778018Z test_comprehensive_linalg_cholesky_ex_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.488s) 2022-11-23T01:37:01.1778172Z test_comprehensive_linalg_cholesky_ex_cpu_float32 (__main__.TestDecompCPU) ... ok (0.297s) 2022-11-23T01:37:01.1778326Z test_comprehensive_linalg_cholesky_ex_cpu_float64 (__main__.TestDecompCPU) ... ok (0.285s) 2022-11-23T01:37:01.1778477Z test_comprehensive_linalg_cond_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.170s) 2022-11-23T01:37:01.1778628Z test_comprehensive_linalg_cond_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.178s) 2022-11-23T01:37:01.1778888Z test_comprehensive_linalg_cond_cpu_float32 (__main__.TestDecompCPU) ... ok (0.144s) 2022-11-23T01:37:01.1779036Z test_comprehensive_linalg_cond_cpu_float64 (__main__.TestDecompCPU) ... ok (0.136s) 2022-11-23T01:37:01.1779186Z test_comprehensive_linalg_cross_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1779337Z test_comprehensive_linalg_cross_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.039s) 2022-11-23T01:37:01.1779490Z test_comprehensive_linalg_cross_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.040s) 2022-11-23T01:37:01.1779686Z test_comprehensive_linalg_cross_cpu_float32 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1779833Z test_comprehensive_linalg_cross_cpu_float64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1779978Z test_comprehensive_linalg_cross_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1780109Z test_comprehensive_linalg_cross_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1780247Z test_comprehensive_linalg_cross_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1780395Z test_comprehensive_linalg_cross_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1780572Z test_comprehensive_linalg_cross_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1780722Z test_comprehensive_linalg_det_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.144s) 2022-11-23T01:37:01.1780871Z test_comprehensive_linalg_det_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.151s) 2022-11-23T01:37:01.1781020Z test_comprehensive_linalg_det_cpu_float32 (__main__.TestDecompCPU) ... ok (0.096s) 2022-11-23T01:37:01.1781163Z test_comprehensive_linalg_det_cpu_float64 (__main__.TestDecompCPU) ... ok (0.093s) 2022-11-23T01:37:01.1781314Z test_comprehensive_linalg_det_singular_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.196s) 2022-11-23T01:37:01.1781477Z test_comprehensive_linalg_det_singular_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.241s) 2022-11-23T01:37:01.1781636Z test_comprehensive_linalg_det_singular_cpu_float32 (__main__.TestDecompCPU) ... ok (0.759s) 2022-11-23T01:37:01.1781792Z test_comprehensive_linalg_det_singular_cpu_float64 (__main__.TestDecompCPU) ... ok (0.744s) 2022-11-23T01:37:01.1781945Z test_comprehensive_linalg_eig_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.628s) 2022-11-23T01:37:01.1782091Z test_comprehensive_linalg_eig_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.645s) 2022-11-23T01:37:01.1782237Z test_comprehensive_linalg_eig_cpu_float32 (__main__.TestDecompCPU) ... ok (0.627s) 2022-11-23T01:37:01.1782382Z test_comprehensive_linalg_eig_cpu_float64 (__main__.TestDecompCPU) ... ok (0.617s) 2022-11-23T01:37:01.1782537Z test_comprehensive_linalg_eigh_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.539s) 2022-11-23T01:37:01.1782676Z test_comprehensive_linalg_eigh_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.554s) 2022-11-23T01:37:01.1782826Z test_comprehensive_linalg_eigh_cpu_float32 (__main__.TestDecompCPU) ... ok (0.364s) 2022-11-23T01:37:01.1782973Z test_comprehensive_linalg_eigh_cpu_float64 (__main__.TestDecompCPU) ... ok (0.349s) 2022-11-23T01:37:01.1783128Z test_comprehensive_linalg_eigvals_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.125s) 2022-11-23T01:37:01.1783284Z test_comprehensive_linalg_eigvals_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.129s) 2022-11-23T01:37:01.1783434Z test_comprehensive_linalg_eigvals_cpu_float32 (__main__.TestDecompCPU) ... ok (0.125s) 2022-11-23T01:37:01.1783586Z test_comprehensive_linalg_eigvals_cpu_float64 (__main__.TestDecompCPU) ... ok (0.119s) 2022-11-23T01:37:01.1783740Z test_comprehensive_linalg_eigvalsh_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.129s) 2022-11-23T01:37:01.1783882Z test_comprehensive_linalg_eigvalsh_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.133s) 2022-11-23T01:37:01.1784031Z test_comprehensive_linalg_eigvalsh_cpu_float32 (__main__.TestDecompCPU) ... ok (0.092s) 2022-11-23T01:37:01.1784182Z test_comprehensive_linalg_eigvalsh_cpu_float64 (__main__.TestDecompCPU) ... ok (0.088s) 2022-11-23T01:37:01.1784355Z test_comprehensive_linalg_householder_product_cpu_complex128 (__main__.TestDecompCPU) ... ok (6.736s) 2022-11-23T01:37:01.1784530Z test_comprehensive_linalg_householder_product_cpu_complex64 (__main__.TestDecompCPU) ... ok (7.639s) 2022-11-23T01:37:01.1784700Z test_comprehensive_linalg_householder_product_cpu_float32 (__main__.TestDecompCPU) ... ok (4.300s) 2022-11-23T01:37:01.1784893Z test_comprehensive_linalg_householder_product_cpu_float64 (__main__.TestDecompCPU) ... ok (4.109s) 2022-11-23T01:37:01.1785044Z test_comprehensive_linalg_inv_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.285s) 2022-11-23T01:37:01.1785195Z test_comprehensive_linalg_inv_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.293s) 2022-11-23T01:37:01.1785328Z test_comprehensive_linalg_inv_cpu_float32 (__main__.TestDecompCPU) ... ok (0.182s) 2022-11-23T01:37:01.1785468Z test_comprehensive_linalg_inv_cpu_float64 (__main__.TestDecompCPU) ... ok (0.175s) 2022-11-23T01:37:01.1785621Z test_comprehensive_linalg_inv_ex_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.283s) 2022-11-23T01:37:01.1785772Z test_comprehensive_linalg_inv_ex_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.292s) 2022-11-23T01:37:01.1785945Z test_comprehensive_linalg_inv_ex_cpu_float32 (__main__.TestDecompCPU) ... ok (0.181s) 2022-11-23T01:37:01.1786087Z test_comprehensive_linalg_inv_ex_cpu_float64 (__main__.TestDecompCPU) ... ok (0.174s) 2022-11-23T01:37:01.1786249Z test_comprehensive_linalg_ldl_factor_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1786406Z test_comprehensive_linalg_ldl_factor_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1786548Z test_comprehensive_linalg_ldl_factor_cpu_float32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1786701Z test_comprehensive_linalg_ldl_factor_cpu_float64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1786864Z test_comprehensive_linalg_ldl_factor_ex_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1787026Z test_comprehensive_linalg_ldl_factor_ex_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1787184Z test_comprehensive_linalg_ldl_factor_ex_cpu_float32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1787346Z test_comprehensive_linalg_ldl_factor_ex_cpu_float64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1787501Z test_comprehensive_linalg_ldl_solve_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1787660Z test_comprehensive_linalg_ldl_solve_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1787812Z test_comprehensive_linalg_ldl_solve_cpu_float32 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1787953Z test_comprehensive_linalg_ldl_solve_cpu_float64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1788182Z test_comprehensive_linalg_lstsq_cpu_complex128 (__main__.TestDecompCPU) ... ok (15.659s) 2022-11-23T01:37:01.1788340Z test_comprehensive_linalg_lstsq_cpu_complex64 (__main__.TestDecompCPU) ... ok (13.279s) 2022-11-23T01:37:01.1788492Z test_comprehensive_linalg_lstsq_cpu_float32 (__main__.TestDecompCPU) ... ok (7.458s) 2022-11-23T01:37:01.1788642Z test_comprehensive_linalg_lstsq_cpu_float64 (__main__.TestDecompCPU) ... ok (7.308s) 2022-11-23T01:37:01.1788817Z test_comprehensive_linalg_lstsq_grad_oriented_cpu_complex128 (__main__.TestDecompCPU) ... ok (12.993s) 2022-11-23T01:37:01.1788993Z test_comprehensive_linalg_lstsq_grad_oriented_cpu_complex64 (__main__.TestDecompCPU) ... ok (13.313s) 2022-11-23T01:37:01.1789162Z test_comprehensive_linalg_lstsq_grad_oriented_cpu_float32 (__main__.TestDecompCPU) ... ok (7.490s) 2022-11-23T01:37:01.1789330Z test_comprehensive_linalg_lstsq_grad_oriented_cpu_float64 (__main__.TestDecompCPU) ... ok (7.327s) 2022-11-23T01:37:01.1789467Z test_comprehensive_linalg_lu_cpu_complex128 (__main__.TestDecompCPU) ... ok (3.932s) 2022-11-23T01:37:01.1789617Z test_comprehensive_linalg_lu_cpu_complex64 (__main__.TestDecompCPU) ... ok (3.994s) 2022-11-23T01:37:01.1789766Z test_comprehensive_linalg_lu_cpu_float32 (__main__.TestDecompCPU) ... ok (2.320s) 2022-11-23T01:37:01.1789913Z test_comprehensive_linalg_lu_cpu_float64 (__main__.TestDecompCPU) ... ok (2.270s) 2022-11-23T01:37:01.1790072Z test_comprehensive_linalg_lu_factor_cpu_complex128 (__main__.TestDecompCPU) ... ok (4.312s) 2022-11-23T01:37:01.1790264Z test_comprehensive_linalg_lu_factor_cpu_complex64 (__main__.TestDecompCPU) ... ok (4.394s) 2022-11-23T01:37:01.1790420Z test_comprehensive_linalg_lu_factor_cpu_float32 (__main__.TestDecompCPU) ... ok (2.539s) 2022-11-23T01:37:01.1790570Z test_comprehensive_linalg_lu_factor_cpu_float64 (__main__.TestDecompCPU) ... ok (2.496s) 2022-11-23T01:37:01.1790718Z test_comprehensive_linalg_lu_factor_ex_cpu_complex128 (__main__.TestDecompCPU) ... ok (4.294s) 2022-11-23T01:37:01.1790878Z test_comprehensive_linalg_lu_factor_ex_cpu_complex64 (__main__.TestDecompCPU) ... ok (4.384s) 2022-11-23T01:37:01.1791036Z test_comprehensive_linalg_lu_factor_ex_cpu_float32 (__main__.TestDecompCPU) ... ok (2.540s) 2022-11-23T01:37:01.1791220Z test_comprehensive_linalg_lu_factor_ex_cpu_float64 (__main__.TestDecompCPU) ... ok (2.491s) 2022-11-23T01:37:01.1791373Z test_comprehensive_linalg_lu_solve_cpu_complex128 (__main__.TestDecompCPU) ... ok (6.155s) 2022-11-23T01:37:01.1791531Z test_comprehensive_linalg_lu_solve_cpu_complex64 (__main__.TestDecompCPU) ... ok (6.439s) 2022-11-23T01:37:01.1791685Z test_comprehensive_linalg_lu_solve_cpu_float32 (__main__.TestDecompCPU) ... ok (4.547s) 2022-11-23T01:37:01.1791836Z test_comprehensive_linalg_lu_solve_cpu_float64 (__main__.TestDecompCPU) ... ok (4.339s) 2022-11-23T01:37:01.1791993Z test_comprehensive_linalg_matrix_norm_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.283s) 2022-11-23T01:37:01.1792141Z test_comprehensive_linalg_matrix_norm_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.638s) 2022-11-23T01:37:01.1792301Z test_comprehensive_linalg_matrix_norm_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.745s) 2022-11-23T01:37:01.1792457Z test_comprehensive_linalg_matrix_norm_cpu_float16 (__main__.TestDecompCPU) ... ok (0.282s) 2022-11-23T01:37:01.1792615Z test_comprehensive_linalg_matrix_norm_cpu_float32 (__main__.TestDecompCPU) ... ok (1.407s) 2022-11-23T01:37:01.1792767Z test_comprehensive_linalg_matrix_norm_cpu_float64 (__main__.TestDecompCPU) ... ok (1.336s) 2022-11-23T01:37:01.1792932Z test_comprehensive_linalg_matrix_power_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.784s) 2022-11-23T01:37:01.1793093Z test_comprehensive_linalg_matrix_power_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.750s) 2022-11-23T01:37:01.1793248Z test_comprehensive_linalg_matrix_power_cpu_float32 (__main__.TestDecompCPU) ... ok (0.495s) 2022-11-23T01:37:01.1793391Z test_comprehensive_linalg_matrix_power_cpu_float64 (__main__.TestDecompCPU) ... ok (0.445s) 2022-11-23T01:37:01.1793551Z test_comprehensive_linalg_matrix_rank_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.442s) 2022-11-23T01:37:01.1793707Z test_comprehensive_linalg_matrix_rank_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.499s) 2022-11-23T01:37:01.1793867Z test_comprehensive_linalg_matrix_rank_cpu_float32 (__main__.TestDecompCPU) ... ok (0.487s) 2022-11-23T01:37:01.1794021Z test_comprehensive_linalg_matrix_rank_cpu_float64 (__main__.TestDecompCPU) ... ok (0.452s) 2022-11-23T01:37:01.1794197Z test_comprehensive_linalg_matrix_rank_hermitian_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.055s) 2022-11-23T01:37:01.1794369Z test_comprehensive_linalg_matrix_rank_hermitian_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.058s) 2022-11-23T01:37:01.1794539Z test_comprehensive_linalg_matrix_rank_hermitian_cpu_float32 (__main__.TestDecompCPU) ... ok (0.056s) 2022-11-23T01:37:01.1794706Z test_comprehensive_linalg_matrix_rank_hermitian_cpu_float64 (__main__.TestDecompCPU) ... ok (0.053s) 2022-11-23T01:37:01.1794847Z test_comprehensive_linalg_multi_dot_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.1795002Z test_comprehensive_linalg_multi_dot_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.107s) 2022-11-23T01:37:01.1795161Z test_comprehensive_linalg_multi_dot_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.114s) 2022-11-23T01:37:01.1795314Z test_comprehensive_linalg_multi_dot_cpu_float32 (__main__.TestDecompCPU) ... ok (0.071s) 2022-11-23T01:37:01.1795494Z test_comprehensive_linalg_multi_dot_cpu_float64 (__main__.TestDecompCPU) ... ok (0.069s) 2022-11-23T01:37:01.1795648Z test_comprehensive_linalg_multi_dot_cpu_int16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1795794Z test_comprehensive_linalg_multi_dot_cpu_int32 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1795942Z test_comprehensive_linalg_multi_dot_cpu_int64 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1796078Z test_comprehensive_linalg_multi_dot_cpu_int8 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1796228Z test_comprehensive_linalg_multi_dot_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.1796411Z test_comprehensive_linalg_norm_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.390s) 2022-11-23T01:37:01.1796562Z test_comprehensive_linalg_norm_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.620s) 2022-11-23T01:37:01.1796714Z test_comprehensive_linalg_norm_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.986s) 2022-11-23T01:37:01.1796866Z test_comprehensive_linalg_norm_cpu_float16 (__main__.TestDecompCPU) ... ok (0.493s) 2022-11-23T01:37:01.1797010Z test_comprehensive_linalg_norm_cpu_float32 (__main__.TestDecompCPU) ... ok (1.701s) 2022-11-23T01:37:01.1797157Z test_comprehensive_linalg_norm_cpu_float64 (__main__.TestDecompCPU) ... ok (1.659s) 2022-11-23T01:37:01.1797334Z test_comprehensive_linalg_norm_subgradients_at_zero_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.360s) 2022-11-23T01:37:01.1797501Z test_comprehensive_linalg_norm_subgradients_at_zero_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.005s) 2022-11-23T01:37:01.1797676Z test_comprehensive_linalg_norm_subgradients_at_zero_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.040s) 2022-11-23T01:37:01.1797853Z test_comprehensive_linalg_norm_subgradients_at_zero_cpu_float16 (__main__.TestDecompCPU) ... ok (0.364s) 2022-11-23T01:37:01.1798026Z test_comprehensive_linalg_norm_subgradients_at_zero_cpu_float32 (__main__.TestDecompCPU) ... ok (0.910s) 2022-11-23T01:37:01.1798200Z test_comprehensive_linalg_norm_subgradients_at_zero_cpu_float64 (__main__.TestDecompCPU) ... ok (0.853s) 2022-11-23T01:37:01.1798354Z test_comprehensive_linalg_pinv_cpu_complex128 (__main__.TestDecompCPU) ... ok (2.073s) 2022-11-23T01:37:01.1798505Z test_comprehensive_linalg_pinv_cpu_complex64 (__main__.TestDecompCPU) ... ok (2.035s) 2022-11-23T01:37:01.1798650Z test_comprehensive_linalg_pinv_cpu_float32 (__main__.TestDecompCPU) ... ok (1.219s) 2022-11-23T01:37:01.1798795Z test_comprehensive_linalg_pinv_cpu_float64 (__main__.TestDecompCPU) ... ok (1.415s) 2022-11-23T01:37:01.1798950Z test_comprehensive_linalg_pinv_hermitian_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.923s) 2022-11-23T01:37:01.1799114Z test_comprehensive_linalg_pinv_hermitian_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.888s) 2022-11-23T01:37:01.1799274Z test_comprehensive_linalg_pinv_hermitian_cpu_float32 (__main__.TestDecompCPU) ... ok (0.520s) 2022-11-23T01:37:01.1799437Z test_comprehensive_linalg_pinv_hermitian_cpu_float64 (__main__.TestDecompCPU) ... ok (0.502s) 2022-11-23T01:37:01.1799670Z test_comprehensive_linalg_pinv_singular_cpu_complex128 (__main__.TestDecompCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:37:01.1799900Z test_comprehensive_linalg_pinv_singular_cpu_complex64 (__main__.TestDecompCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:37:01.1800123Z test_comprehensive_linalg_pinv_singular_cpu_float32 (__main__.TestDecompCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:37:01.1800343Z test_comprehensive_linalg_pinv_singular_cpu_float64 (__main__.TestDecompCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:37:01.1800496Z test_comprehensive_linalg_qr_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.510s) 2022-11-23T01:37:01.1800632Z test_comprehensive_linalg_qr_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.581s) 2022-11-23T01:37:01.1800806Z test_comprehensive_linalg_qr_cpu_float32 (__main__.TestDecompCPU) ... ok (1.061s) 2022-11-23T01:37:01.1800950Z test_comprehensive_linalg_qr_cpu_float64 (__main__.TestDecompCPU) ... ok (1.001s) 2022-11-23T01:37:01.1801105Z test_comprehensive_linalg_slogdet_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.155s) 2022-11-23T01:37:01.1801259Z test_comprehensive_linalg_slogdet_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.161s) 2022-11-23T01:37:01.1801408Z test_comprehensive_linalg_slogdet_cpu_float32 (__main__.TestDecompCPU) ... ok (0.057s) 2022-11-23T01:37:01.1801558Z test_comprehensive_linalg_slogdet_cpu_float64 (__main__.TestDecompCPU) ... ok (0.051s) 2022-11-23T01:37:01.1801739Z test_comprehensive_linalg_solve_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.238s) 2022-11-23T01:37:01.1801890Z test_comprehensive_linalg_solve_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.247s) 2022-11-23T01:37:01.1802028Z test_comprehensive_linalg_solve_cpu_float32 (__main__.TestDecompCPU) ... ok (0.171s) 2022-11-23T01:37:01.1802175Z test_comprehensive_linalg_solve_cpu_float64 (__main__.TestDecompCPU) ... ok (0.161s) 2022-11-23T01:37:01.1802328Z test_comprehensive_linalg_solve_ex_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.235s) 2022-11-23T01:37:01.1802482Z test_comprehensive_linalg_solve_ex_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.246s) 2022-11-23T01:37:01.1802632Z test_comprehensive_linalg_solve_ex_cpu_float32 (__main__.TestDecompCPU) ... ok (0.174s) 2022-11-23T01:37:01.1802777Z test_comprehensive_linalg_solve_ex_cpu_float64 (__main__.TestDecompCPU) ... ok (0.173s) 2022-11-23T01:37:01.1802949Z test_comprehensive_linalg_solve_triangular_cpu_complex128 (__main__.TestDecompCPU) ... ok (3.388s) 2022-11-23T01:37:01.1803114Z test_comprehensive_linalg_solve_triangular_cpu_complex64 (__main__.TestDecompCPU) ... ok (3.774s) 2022-11-23T01:37:01.1803263Z test_comprehensive_linalg_solve_triangular_cpu_float32 (__main__.TestDecompCPU) ... ok (2.798s) 2022-11-23T01:37:01.1803428Z test_comprehensive_linalg_solve_triangular_cpu_float64 (__main__.TestDecompCPU) ... ok (2.666s) 2022-11-23T01:37:01.1803578Z test_comprehensive_linalg_svd_cpu_complex128 (__main__.TestDecompCPU) ... ok (20.641s) 2022-11-23T01:37:01.1803729Z test_comprehensive_linalg_svd_cpu_complex64 (__main__.TestDecompCPU) ... ok (16.139s) 2022-11-23T01:37:01.1803873Z test_comprehensive_linalg_svd_cpu_float32 (__main__.TestDecompCPU) ... ok (9.775s) 2022-11-23T01:37:01.1804016Z test_comprehensive_linalg_svd_cpu_float64 (__main__.TestDecompCPU) ... ok (9.486s) 2022-11-23T01:37:01.1804171Z test_comprehensive_linalg_svdvals_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.382s) 2022-11-23T01:37:01.1804329Z test_comprehensive_linalg_svdvals_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.391s) 2022-11-23T01:37:01.1804478Z test_comprehensive_linalg_svdvals_cpu_float32 (__main__.TestDecompCPU) ... ok (0.295s) 2022-11-23T01:37:01.1804617Z test_comprehensive_linalg_svdvals_cpu_float64 (__main__.TestDecompCPU) ... ok (0.283s) 2022-11-23T01:37:01.1804774Z test_comprehensive_linalg_tensorinv_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.252s) 2022-11-23T01:37:01.1804931Z test_comprehensive_linalg_tensorinv_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.276s) 2022-11-23T01:37:01.1805083Z test_comprehensive_linalg_tensorinv_cpu_float32 (__main__.TestDecompCPU) ... ok (0.140s) 2022-11-23T01:37:01.1805234Z test_comprehensive_linalg_tensorinv_cpu_float64 (__main__.TestDecompCPU) ... ok (0.156s) 2022-11-23T01:37:01.1805393Z test_comprehensive_linalg_tensorsolve_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.370s) 2022-11-23T01:37:01.1805556Z test_comprehensive_linalg_tensorsolve_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.394s) 2022-11-23T01:37:01.1805710Z test_comprehensive_linalg_tensorsolve_cpu_float32 (__main__.TestDecompCPU) ... ok (0.226s) 2022-11-23T01:37:01.1805852Z test_comprehensive_linalg_tensorsolve_cpu_float64 (__main__.TestDecompCPU) ... ok (0.201s) 2022-11-23T01:37:01.1806046Z test_comprehensive_linalg_vander_cpu_complex128 (__main__.TestDecompCPU) ... ok (2.098s) 2022-11-23T01:37:01.1806201Z test_comprehensive_linalg_vander_cpu_complex64 (__main__.TestDecompCPU) ... ok (2.198s) 2022-11-23T01:37:01.1806349Z test_comprehensive_linalg_vander_cpu_float32 (__main__.TestDecompCPU) ... ok (1.153s) 2022-11-23T01:37:01.1806500Z test_comprehensive_linalg_vander_cpu_float64 (__main__.TestDecompCPU) ... ok (1.092s) 2022-11-23T01:37:01.1806645Z test_comprehensive_linalg_vander_cpu_int16 (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.1806788Z test_comprehensive_linalg_vander_cpu_int32 (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.1806954Z test_comprehensive_linalg_vander_cpu_int64 (__main__.TestDecompCPU) ... ok (0.059s) 2022-11-23T01:37:01.1807101Z test_comprehensive_linalg_vander_cpu_int8 (__main__.TestDecompCPU) ... ok (0.058s) 2022-11-23T01:37:01.1807229Z test_comprehensive_linalg_vander_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.058s) 2022-11-23T01:37:01.1807384Z test_comprehensive_linalg_vecdot_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.132s) 2022-11-23T01:37:01.1807535Z test_comprehensive_linalg_vecdot_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.821s) 2022-11-23T01:37:01.1807689Z test_comprehensive_linalg_vecdot_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.845s) 2022-11-23T01:37:01.1807840Z test_comprehensive_linalg_vecdot_cpu_float32 (__main__.TestDecompCPU) ... ok (0.414s) 2022-11-23T01:37:01.1807989Z test_comprehensive_linalg_vecdot_cpu_float64 (__main__.TestDecompCPU) ... ok (0.413s) 2022-11-23T01:37:01.1808149Z test_comprehensive_linalg_vector_norm_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (1.188s) 2022-11-23T01:37:01.1808312Z test_comprehensive_linalg_vector_norm_cpu_complex128 (__main__.TestDecompCPU) ... ok (4.515s) 2022-11-23T01:37:01.1808458Z test_comprehensive_linalg_vector_norm_cpu_complex64 (__main__.TestDecompCPU) ... ok (4.329s) 2022-11-23T01:37:01.1808615Z test_comprehensive_linalg_vector_norm_cpu_float16 (__main__.TestDecompCPU) ... ok (1.188s) 2022-11-23T01:37:01.1808767Z test_comprehensive_linalg_vector_norm_cpu_float32 (__main__.TestDecompCPU) ... ok (3.311s) 2022-11-23T01:37:01.1808918Z test_comprehensive_linalg_vector_norm_cpu_float64 (__main__.TestDecompCPU) ... ok (3.151s) 2022-11-23T01:37:01.1809064Z test_comprehensive_linspace_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.1809212Z test_comprehensive_linspace_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.033s) 2022-11-23T01:37:01.1809359Z test_comprehensive_linspace_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.035s) 2022-11-23T01:37:01.1809506Z test_comprehensive_linspace_cpu_float16 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.1809645Z test_comprehensive_linspace_cpu_float32 (__main__.TestDecompCPU) ... ok (0.028s) 2022-11-23T01:37:01.1809771Z test_comprehensive_linspace_cpu_float64 (__main__.TestDecompCPU) ... ok (0.025s) 2022-11-23T01:37:01.1809917Z test_comprehensive_linspace_cpu_int16 (__main__.TestDecompCPU) ... ok (0.031s) 2022-11-23T01:37:01.1810058Z test_comprehensive_linspace_cpu_int32 (__main__.TestDecompCPU) ... ok (0.031s) 2022-11-23T01:37:01.1810200Z test_comprehensive_linspace_cpu_int64 (__main__.TestDecompCPU) ... ok (0.030s) 2022-11-23T01:37:01.1810340Z test_comprehensive_linspace_cpu_int8 (__main__.TestDecompCPU) ... ok (0.031s) 2022-11-23T01:37:01.1810480Z test_comprehensive_linspace_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.025s) 2022-11-23T01:37:01.1810617Z test_comprehensive_log10_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1810755Z test_comprehensive_log10_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1810887Z test_comprehensive_log10_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.035s) 2022-11-23T01:37:01.1811032Z test_comprehensive_log10_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.037s) 2022-11-23T01:37:01.1811198Z test_comprehensive_log10_cpu_float32 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.1811338Z test_comprehensive_log10_cpu_float64 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1811476Z test_comprehensive_log10_cpu_int16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1811612Z test_comprehensive_log10_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1811746Z test_comprehensive_log10_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1811879Z test_comprehensive_log10_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1812000Z test_comprehensive_log10_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1812168Z test_comprehensive_log1p_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1812307Z test_comprehensive_log1p_cpu_bool (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1812445Z test_comprehensive_log1p_cpu_float32 (__main__.TestDecompCPU) ... ok (0.082s) 2022-11-23T01:37:01.1812588Z test_comprehensive_log1p_cpu_float64 (__main__.TestDecompCPU) ... ok (0.079s) 2022-11-23T01:37:01.1812720Z test_comprehensive_log1p_cpu_int16 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1812855Z test_comprehensive_log1p_cpu_int32 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1812986Z test_comprehensive_log1p_cpu_int64 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1813109Z test_comprehensive_log1p_cpu_int8 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1813245Z test_comprehensive_log1p_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1813387Z test_comprehensive_log2_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1813523Z test_comprehensive_log2_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1813666Z test_comprehensive_log2_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.035s) 2022-11-23T01:37:01.1813807Z test_comprehensive_log2_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.037s) 2022-11-23T01:37:01.1813944Z test_comprehensive_log2_cpu_float32 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.1814080Z test_comprehensive_log2_cpu_float64 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1814204Z test_comprehensive_log2_cpu_int16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1814338Z test_comprehensive_log2_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1814471Z test_comprehensive_log2_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1814605Z test_comprehensive_log2_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1814741Z test_comprehensive_log2_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1814877Z test_comprehensive_log_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1815013Z test_comprehensive_log_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1815156Z test_comprehensive_log_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.028s) 2022-11-23T01:37:01.1815284Z test_comprehensive_log_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.1815420Z test_comprehensive_log_cpu_float32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1815556Z test_comprehensive_log_cpu_float64 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.1815688Z test_comprehensive_log_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1815822Z test_comprehensive_log_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1815953Z test_comprehensive_log_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1816088Z test_comprehensive_log_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1816219Z test_comprehensive_log_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1816357Z test_comprehensive_log_softmax_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.1816529Z test_comprehensive_log_softmax_cpu_float32 (__main__.TestDecompCPU) ... ok (0.079s) 2022-11-23T01:37:01.1816673Z test_comprehensive_log_softmax_cpu_float64 (__main__.TestDecompCPU) ... ok (0.076s) 2022-11-23T01:37:01.1816834Z test_comprehensive_log_softmax_with_dtype_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1816994Z test_comprehensive_log_softmax_with_dtype_cpu_bool (__main__.TestDecompCPU) ... ok (0.043s) 2022-11-23T01:37:01.1817159Z test_comprehensive_log_softmax_with_dtype_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.147s) 2022-11-23T01:37:01.1817350Z test_comprehensive_log_softmax_with_dtype_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.074s) 2022-11-23T01:37:01.1817508Z test_comprehensive_log_softmax_with_dtype_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.149s) 2022-11-23T01:37:01.1817668Z test_comprehensive_log_softmax_with_dtype_cpu_float16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1817818Z test_comprehensive_log_softmax_with_dtype_cpu_float32 (__main__.TestDecompCPU) ... ok (0.128s) 2022-11-23T01:37:01.1817979Z test_comprehensive_log_softmax_with_dtype_cpu_float64 (__main__.TestDecompCPU) ... ok (0.077s) 2022-11-23T01:37:01.1818135Z test_comprehensive_log_softmax_with_dtype_cpu_int16 (__main__.TestDecompCPU) ... ok (0.054s) 2022-11-23T01:37:01.1818296Z test_comprehensive_log_softmax_with_dtype_cpu_int32 (__main__.TestDecompCPU) ... ok (0.054s) 2022-11-23T01:37:01.1818450Z test_comprehensive_log_softmax_with_dtype_cpu_int64 (__main__.TestDecompCPU) ... ok (0.054s) 2022-11-23T01:37:01.1818607Z test_comprehensive_log_softmax_with_dtype_cpu_int8 (__main__.TestDecompCPU) ... ok (0.054s) 2022-11-23T01:37:01.1818882Z test_comprehensive_log_softmax_with_dtype_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.055s) 2022-11-23T01:37:01.1819036Z test_comprehensive_logaddexp2_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1819174Z test_comprehensive_logaddexp2_cpu_float32 (__main__.TestDecompCPU) ... ok (0.033s) 2022-11-23T01:37:01.1819318Z test_comprehensive_logaddexp2_cpu_float64 (__main__.TestDecompCPU) ... ok (0.032s) 2022-11-23T01:37:01.1819467Z test_comprehensive_logaddexp_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1819615Z test_comprehensive_logaddexp_cpu_float32 (__main__.TestDecompCPU) ... ok (0.033s) 2022-11-23T01:37:01.1819759Z test_comprehensive_logaddexp_cpu_float64 (__main__.TestDecompCPU) ... ok (0.031s) 2022-11-23T01:37:01.1819914Z test_comprehensive_logcumsumexp_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.080s) 2022-11-23T01:37:01.1820069Z test_comprehensive_logcumsumexp_cpu_float32 (__main__.TestDecompCPU) ... ok (0.882s) 2022-11-23T01:37:01.1820217Z test_comprehensive_logcumsumexp_cpu_float64 (__main__.TestDecompCPU) ... ok (0.853s) 2022-11-23T01:37:01.1820366Z test_comprehensive_logdet_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.231s) 2022-11-23T01:37:01.1820500Z test_comprehensive_logdet_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.245s) 2022-11-23T01:37:01.1820644Z test_comprehensive_logdet_cpu_float32 (__main__.TestDecompCPU) ... ok (0.100s) 2022-11-23T01:37:01.1820785Z test_comprehensive_logdet_cpu_float64 (__main__.TestDecompCPU) ... ok (0.094s) 2022-11-23T01:37:01.1820938Z test_comprehensive_logical_and_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.044s) 2022-11-23T01:37:01.1821085Z test_comprehensive_logical_and_cpu_bool (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1821236Z test_comprehensive_logical_and_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.136s) 2022-11-23T01:37:01.1821390Z test_comprehensive_logical_and_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.138s) 2022-11-23T01:37:01.1821538Z test_comprehensive_logical_and_cpu_float16 (__main__.TestDecompCPU) ... ok (0.045s) 2022-11-23T01:37:01.1821669Z test_comprehensive_logical_and_cpu_float32 (__main__.TestDecompCPU) ... ok (0.078s) 2022-11-23T01:37:01.1821866Z test_comprehensive_logical_and_cpu_float64 (__main__.TestDecompCPU) ... ok (0.075s) 2022-11-23T01:37:01.1822013Z test_comprehensive_logical_and_cpu_int16 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.1822153Z test_comprehensive_logical_and_cpu_int32 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.1822291Z test_comprehensive_logical_and_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1822435Z test_comprehensive_logical_and_cpu_int8 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.1822579Z test_comprehensive_logical_and_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.1822765Z test_comprehensive_logical_not_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1822898Z test_comprehensive_logical_not_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1823050Z test_comprehensive_logical_not_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1823201Z test_comprehensive_logical_not_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1823350Z test_comprehensive_logical_not_cpu_float16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1823492Z test_comprehensive_logical_not_cpu_float32 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1823633Z test_comprehensive_logical_not_cpu_float64 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1823776Z test_comprehensive_logical_not_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1823916Z test_comprehensive_logical_not_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1824048Z test_comprehensive_logical_not_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1824192Z test_comprehensive_logical_not_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1824332Z test_comprehensive_logical_not_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1824486Z test_comprehensive_logical_or_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.044s) 2022-11-23T01:37:01.1824629Z test_comprehensive_logical_or_cpu_bool (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.1824778Z test_comprehensive_logical_or_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.137s) 2022-11-23T01:37:01.1824927Z test_comprehensive_logical_or_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.138s) 2022-11-23T01:37:01.1825072Z test_comprehensive_logical_or_cpu_float16 (__main__.TestDecompCPU) ... ok (0.046s) 2022-11-23T01:37:01.1825214Z test_comprehensive_logical_or_cpu_float32 (__main__.TestDecompCPU) ... ok (0.077s) 2022-11-23T01:37:01.1825342Z test_comprehensive_logical_or_cpu_float64 (__main__.TestDecompCPU) ... ok (0.075s) 2022-11-23T01:37:01.1825484Z test_comprehensive_logical_or_cpu_int16 (__main__.TestDecompCPU) ... ok (0.050s) 2022-11-23T01:37:01.1825622Z test_comprehensive_logical_or_cpu_int32 (__main__.TestDecompCPU) ... ok (0.050s) 2022-11-23T01:37:01.1825767Z test_comprehensive_logical_or_cpu_int64 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.1825909Z test_comprehensive_logical_or_cpu_int8 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.1826051Z test_comprehensive_logical_or_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.050s) 2022-11-23T01:37:01.1826197Z test_comprehensive_logical_xor_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.043s) 2022-11-23T01:37:01.1826339Z test_comprehensive_logical_xor_cpu_bool (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.1826479Z test_comprehensive_logical_xor_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.134s) 2022-11-23T01:37:01.1826630Z test_comprehensive_logical_xor_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.137s) 2022-11-23T01:37:01.1826775Z test_comprehensive_logical_xor_cpu_float16 (__main__.TestDecompCPU) ... ok (0.044s) 2022-11-23T01:37:01.1826915Z test_comprehensive_logical_xor_cpu_float32 (__main__.TestDecompCPU) ... ok (0.076s) 2022-11-23T01:37:01.1827082Z test_comprehensive_logical_xor_cpu_float64 (__main__.TestDecompCPU) ... ok (0.075s) 2022-11-23T01:37:01.1827227Z test_comprehensive_logical_xor_cpu_int16 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1827367Z test_comprehensive_logical_xor_cpu_int32 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.1827511Z test_comprehensive_logical_xor_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1827640Z test_comprehensive_logical_xor_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1827780Z test_comprehensive_logical_xor_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.1827951Z test_comprehensive_logit_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.1828165Z test_comprehensive_logit_cpu_bool (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1828311Z test_comprehensive_logit_cpu_float32 (__main__.TestDecompCPU) ... ok (0.057s) 2022-11-23T01:37:01.1828455Z test_comprehensive_logit_cpu_float64 (__main__.TestDecompCPU) ... ok (0.056s) 2022-11-23T01:37:01.1828593Z test_comprehensive_logit_cpu_int16 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1828732Z test_comprehensive_logit_cpu_int32 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1828855Z test_comprehensive_logit_cpu_int64 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1828992Z test_comprehensive_logit_cpu_int8 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1829127Z test_comprehensive_logit_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1829275Z test_comprehensive_logspace_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.154s) 2022-11-23T01:37:01.1829430Z test_comprehensive_logspace_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.274s) 2022-11-23T01:37:01.1829578Z test_comprehensive_logspace_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.286s) 2022-11-23T01:37:01.1829725Z test_comprehensive_logspace_cpu_float32 (__main__.TestDecompCPU) ... ok (0.253s) 2022-11-23T01:37:01.1829870Z test_comprehensive_logspace_cpu_float64 (__main__.TestDecompCPU) ... ok (0.232s) 2022-11-23T01:37:01.1830015Z test_comprehensive_logspace_cpu_int16 (__main__.TestDecompCPU) ... ok (0.182s) 2022-11-23T01:37:01.1830146Z test_comprehensive_logspace_cpu_int32 (__main__.TestDecompCPU) ... ok (0.182s) 2022-11-23T01:37:01.1830288Z test_comprehensive_logspace_cpu_int64 (__main__.TestDecompCPU) ... ok (0.170s) 2022-11-23T01:37:01.1830427Z test_comprehensive_logspace_cpu_int8 (__main__.TestDecompCPU) ... ok (0.074s) 2022-11-23T01:37:01.1830571Z test_comprehensive_logspace_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.1830723Z test_comprehensive_logsumexp_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.1830865Z test_comprehensive_logsumexp_cpu_bool (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1831010Z test_comprehensive_logsumexp_cpu_float32 (__main__.TestDecompCPU) ... ok (0.227s) 2022-11-23T01:37:01.1831152Z test_comprehensive_logsumexp_cpu_float64 (__main__.TestDecompCPU) ... ok (0.222s) 2022-11-23T01:37:01.1831283Z test_comprehensive_logsumexp_cpu_int16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1831425Z test_comprehensive_logsumexp_cpu_int32 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1831565Z test_comprehensive_logsumexp_cpu_int64 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1831706Z test_comprehensive_logsumexp_cpu_int8 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1831847Z test_comprehensive_logsumexp_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1831990Z test_comprehensive_long_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1832128Z test_comprehensive_long_cpu_bool (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1832268Z test_comprehensive_long_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.1832427Z test_comprehensive_long_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.1832571Z test_comprehensive_long_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.1832713Z test_comprehensive_long_cpu_float16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1832856Z test_comprehensive_long_cpu_float32 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1832996Z test_comprehensive_long_cpu_float64 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.1833135Z test_comprehensive_long_cpu_int16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1833273Z test_comprehensive_long_cpu_int32 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1833437Z test_comprehensive_long_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1833560Z test_comprehensive_long_cpu_int8 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1833699Z test_comprehensive_long_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1833839Z test_comprehensive_lt_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.043s) 2022-11-23T01:37:01.1833978Z test_comprehensive_lt_cpu_bool (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1834114Z test_comprehensive_lt_cpu_float16 (__main__.TestDecompCPU) ... ok (0.045s) 2022-11-23T01:37:01.1834250Z test_comprehensive_lt_cpu_float32 (__main__.TestDecompCPU) ... ok (0.076s) 2022-11-23T01:37:01.1834387Z test_comprehensive_lt_cpu_float64 (__main__.TestDecompCPU) ... ok (0.074s) 2022-11-23T01:37:01.1834524Z test_comprehensive_lt_cpu_int16 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1834649Z test_comprehensive_lt_cpu_int32 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1834781Z test_comprehensive_lt_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1834913Z test_comprehensive_lt_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1835054Z test_comprehensive_lt_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1835200Z test_comprehensive_lu_cpu_complex128 (__main__.TestDecompCPU) ... ok (8.678s) 2022-11-23T01:37:01.1835342Z test_comprehensive_lu_cpu_complex64 (__main__.TestDecompCPU) ... ok (9.732s) 2022-11-23T01:37:01.1835481Z test_comprehensive_lu_cpu_float32 (__main__.TestDecompCPU) ... ok (5.808s) 2022-11-23T01:37:01.1835619Z test_comprehensive_lu_cpu_float64 (__main__.TestDecompCPU) ... ok (5.755s) 2022-11-23T01:37:01.1835754Z test_comprehensive_lu_solve_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.258s) 2022-11-23T01:37:01.1835902Z test_comprehensive_lu_solve_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.316s) 2022-11-23T01:37:01.1836050Z test_comprehensive_lu_solve_cpu_float32 (__main__.TestDecompCPU) ... ok (0.937s) 2022-11-23T01:37:01.1836193Z test_comprehensive_lu_solve_cpu_float64 (__main__.TestDecompCPU) ... ok (0.888s) 2022-11-23T01:37:01.1836344Z test_comprehensive_lu_unpack_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.052s) 2022-11-23T01:37:01.1836493Z test_comprehensive_lu_unpack_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.104s) 2022-11-23T01:37:01.1836641Z test_comprehensive_lu_unpack_cpu_float32 (__main__.TestDecompCPU) ... ok (0.619s) 2022-11-23T01:37:01.1836785Z test_comprehensive_lu_unpack_cpu_float64 (__main__.TestDecompCPU) ... ok (0.595s) 2022-11-23T01:37:01.1836911Z test_comprehensive_mH_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1837046Z test_comprehensive_mH_cpu_bool (__main__.TestDecompCPU) ... ok (0.061s) 2022-11-23T01:37:01.1837191Z test_comprehensive_mH_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.520s) 2022-11-23T01:37:01.1837335Z test_comprehensive_mH_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.159s) 2022-11-23T01:37:01.1837477Z test_comprehensive_mH_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.537s) 2022-11-23T01:37:01.1837618Z test_comprehensive_mH_cpu_float16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1837783Z test_comprehensive_mH_cpu_float32 (__main__.TestDecompCPU) ... ok (0.188s) 2022-11-23T01:37:01.1837923Z test_comprehensive_mH_cpu_float64 (__main__.TestDecompCPU) ... ok (0.185s) 2022-11-23T01:37:01.1838044Z test_comprehensive_mH_cpu_int16 (__main__.TestDecompCPU) ... ok (0.061s) 2022-11-23T01:37:01.1838180Z test_comprehensive_mH_cpu_int32 (__main__.TestDecompCPU) ... ok (0.061s) 2022-11-23T01:37:01.1838312Z test_comprehensive_mH_cpu_int64 (__main__.TestDecompCPU) ... ok (0.066s) 2022-11-23T01:37:01.1838446Z test_comprehensive_mH_cpu_int8 (__main__.TestDecompCPU) ... ok (0.076s) 2022-11-23T01:37:01.1838579Z test_comprehensive_mH_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.076s) 2022-11-23T01:37:01.1838746Z test_comprehensive_mT_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1838877Z test_comprehensive_mT_cpu_bool (__main__.TestDecompCPU) ... ok (0.073s) 2022-11-23T01:37:01.1839017Z test_comprehensive_mT_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.420s) 2022-11-23T01:37:01.1839147Z test_comprehensive_mT_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.197s) 2022-11-23T01:37:01.1839283Z test_comprehensive_mT_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.441s) 2022-11-23T01:37:01.1839420Z test_comprehensive_mT_cpu_float16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1839557Z test_comprehensive_mT_cpu_float32 (__main__.TestDecompCPU) ... ok (0.243s) 2022-11-23T01:37:01.1839689Z test_comprehensive_mT_cpu_float64 (__main__.TestDecompCPU) ... ok (0.230s) 2022-11-23T01:37:01.1839822Z test_comprehensive_mT_cpu_int16 (__main__.TestDecompCPU) ... ok (0.076s) 2022-11-23T01:37:01.1839959Z test_comprehensive_mT_cpu_int32 (__main__.TestDecompCPU) ... ok (0.074s) 2022-11-23T01:37:01.1840089Z test_comprehensive_mT_cpu_int64 (__main__.TestDecompCPU) ... ok (0.076s) 2022-11-23T01:37:01.1840207Z test_comprehensive_mT_cpu_int8 (__main__.TestDecompCPU) ... ok (0.073s) 2022-11-23T01:37:01.1840340Z test_comprehensive_mT_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.076s) 2022-11-23T01:37:01.1840493Z test_comprehensive_masked_amax_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.663s) 2022-11-23T01:37:01.1840640Z test_comprehensive_masked_amax_cpu_float16 (__main__.TestDecompCPU) ... ok (0.684s) 2022-11-23T01:37:01.1840785Z test_comprehensive_masked_amax_cpu_float32 (__main__.TestDecompCPU) ... ok (1.738s) 2022-11-23T01:37:01.1840927Z test_comprehensive_masked_amax_cpu_float64 (__main__.TestDecompCPU) ... ok (1.686s) 2022-11-23T01:37:01.1841072Z test_comprehensive_masked_amax_cpu_int16 (__main__.TestDecompCPU) ... ok (0.381s) 2022-11-23T01:37:01.1841213Z test_comprehensive_masked_amax_cpu_int32 (__main__.TestDecompCPU) ... ok (0.378s) 2022-11-23T01:37:01.1841354Z test_comprehensive_masked_amax_cpu_int64 (__main__.TestDecompCPU) ... ok (0.371s) 2022-11-23T01:37:01.1841485Z test_comprehensive_masked_amax_cpu_int8 (__main__.TestDecompCPU) ... ok (0.379s) 2022-11-23T01:37:01.1841624Z test_comprehensive_masked_amax_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.382s) 2022-11-23T01:37:01.1841772Z test_comprehensive_masked_amin_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.681s) 2022-11-23T01:37:01.1841919Z test_comprehensive_masked_amin_cpu_float16 (__main__.TestDecompCPU) ... ok (0.685s) 2022-11-23T01:37:01.1842063Z test_comprehensive_masked_amin_cpu_float32 (__main__.TestDecompCPU) ... ok (1.808s) 2022-11-23T01:37:01.1842202Z test_comprehensive_masked_amin_cpu_float64 (__main__.TestDecompCPU) ... ok (1.737s) 2022-11-23T01:37:01.1842344Z test_comprehensive_masked_amin_cpu_int16 (__main__.TestDecompCPU) ... ok (0.381s) 2022-11-23T01:37:01.1842481Z test_comprehensive_masked_amin_cpu_int32 (__main__.TestDecompCPU) ... ok (0.384s) 2022-11-23T01:37:01.1842607Z test_comprehensive_masked_amin_cpu_int64 (__main__.TestDecompCPU) ... ok (0.369s) 2022-11-23T01:37:01.1842751Z test_comprehensive_masked_amin_cpu_int8 (__main__.TestDecompCPU) ... ok (0.385s) 2022-11-23T01:37:01.1842893Z test_comprehensive_masked_amin_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.479s) 2022-11-23T01:37:01.1843082Z test_comprehensive_masked_argmax_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.106s) 2022-11-23T01:37:01.1843234Z test_comprehensive_masked_argmax_cpu_float16 (__main__.TestDecompCPU) ... ok (0.104s) 2022-11-23T01:37:01.1843385Z test_comprehensive_masked_argmax_cpu_float32 (__main__.TestDecompCPU) ... ok (0.337s) 2022-11-23T01:37:01.1843531Z test_comprehensive_masked_argmax_cpu_float64 (__main__.TestDecompCPU) ... ok (0.328s) 2022-11-23T01:37:01.1843679Z test_comprehensive_masked_argmax_cpu_int16 (__main__.TestDecompCPU) ... ok (0.209s) 2022-11-23T01:37:01.1843810Z test_comprehensive_masked_argmax_cpu_int32 (__main__.TestDecompCPU) ... ok (0.206s) 2022-11-23T01:37:01.1843982Z test_comprehensive_masked_argmax_cpu_int64 (__main__.TestDecompCPU) ... ok (0.159s) 2022-11-23T01:37:01.1844128Z test_comprehensive_masked_argmax_cpu_int8 (__main__.TestDecompCPU) ... ok (0.207s) 2022-11-23T01:37:01.1844273Z test_comprehensive_masked_argmax_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.207s) 2022-11-23T01:37:01.1844427Z test_comprehensive_masked_argmin_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.106s) 2022-11-23T01:37:01.1844578Z test_comprehensive_masked_argmin_cpu_float16 (__main__.TestDecompCPU) ... ok (0.104s) 2022-11-23T01:37:01.1844729Z test_comprehensive_masked_argmin_cpu_float32 (__main__.TestDecompCPU) ... ok (0.341s) 2022-11-23T01:37:01.1844876Z test_comprehensive_masked_argmin_cpu_float64 (__main__.TestDecompCPU) ... ok (0.324s) 2022-11-23T01:37:01.1845011Z test_comprehensive_masked_argmin_cpu_int16 (__main__.TestDecompCPU) ... ok (0.210s) 2022-11-23T01:37:01.1845156Z test_comprehensive_masked_argmin_cpu_int32 (__main__.TestDecompCPU) ... ok (0.207s) 2022-11-23T01:37:01.1845296Z test_comprehensive_masked_argmin_cpu_int64 (__main__.TestDecompCPU) ... ok (0.159s) 2022-11-23T01:37:01.1845441Z test_comprehensive_masked_argmin_cpu_int8 (__main__.TestDecompCPU) ... ok (0.208s) 2022-11-23T01:37:01.1845585Z test_comprehensive_masked_argmin_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.209s) 2022-11-23T01:37:01.1845740Z test_comprehensive_masked_cumprod_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.346s) 2022-11-23T01:37:01.1845899Z test_comprehensive_masked_cumprod_cpu_complex128 (__main__.TestDecompCPU) ... ok (9.336s) 2022-11-23T01:37:01.1846053Z test_comprehensive_masked_cumprod_cpu_complex64 (__main__.TestDecompCPU) ... ok (7.898s) 2022-11-23T01:37:01.1846203Z test_comprehensive_masked_cumprod_cpu_float32 (__main__.TestDecompCPU) ... ok (4.203s) 2022-11-23T01:37:01.1846343Z test_comprehensive_masked_cumprod_cpu_float64 (__main__.TestDecompCPU) ... ok (4.132s) 2022-11-23T01:37:01.1846494Z test_comprehensive_masked_cumprod_cpu_int16 (__main__.TestDecompCPU) ... ok (0.158s) 2022-11-23T01:37:01.1846643Z test_comprehensive_masked_cumprod_cpu_int32 (__main__.TestDecompCPU) ... ok (0.158s) 2022-11-23T01:37:01.1846787Z test_comprehensive_masked_cumprod_cpu_int64 (__main__.TestDecompCPU) ... ok (0.157s) 2022-11-23T01:37:01.1846937Z test_comprehensive_masked_cumprod_cpu_int8 (__main__.TestDecompCPU) ... ok (0.159s) 2022-11-23T01:37:01.1847085Z test_comprehensive_masked_cumprod_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.158s) 2022-11-23T01:37:01.1847235Z test_comprehensive_masked_cumsum_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.1847389Z test_comprehensive_masked_cumsum_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.188s) 2022-11-23T01:37:01.1847532Z test_comprehensive_masked_cumsum_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.217s) 2022-11-23T01:37:01.1847680Z test_comprehensive_masked_cumsum_cpu_float32 (__main__.TestDecompCPU) ... ok (0.733s) 2022-11-23T01:37:01.1847830Z test_comprehensive_masked_cumsum_cpu_float64 (__main__.TestDecompCPU) ... ok (0.720s) 2022-11-23T01:37:01.1847976Z test_comprehensive_masked_cumsum_cpu_int16 (__main__.TestDecompCPU) ... ok (0.226s) 2022-11-23T01:37:01.1848118Z test_comprehensive_masked_cumsum_cpu_int32 (__main__.TestDecompCPU) ... ok (0.226s) 2022-11-23T01:37:01.1848290Z test_comprehensive_masked_cumsum_cpu_int64 (__main__.TestDecompCPU) ... ok (0.223s) 2022-11-23T01:37:01.1848437Z test_comprehensive_masked_cumsum_cpu_int8 (__main__.TestDecompCPU) ... ok (0.225s) 2022-11-23T01:37:01.1848583Z test_comprehensive_masked_cumsum_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.225s) 2022-11-23T01:37:01.1848732Z test_comprehensive_masked_fill_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.1848866Z test_comprehensive_masked_fill_cpu_bool (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.1849017Z test_comprehensive_masked_fill_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.117s) 2022-11-23T01:37:01.1849194Z test_comprehensive_masked_fill_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.045s) 2022-11-23T01:37:01.1849343Z test_comprehensive_masked_fill_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.123s) 2022-11-23T01:37:01.1849491Z test_comprehensive_masked_fill_cpu_float16 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.1849632Z test_comprehensive_masked_fill_cpu_float32 (__main__.TestDecompCPU) ... ok (0.077s) 2022-11-23T01:37:01.1849773Z test_comprehensive_masked_fill_cpu_float64 (__main__.TestDecompCPU) ... ok (0.075s) 2022-11-23T01:37:01.1849919Z test_comprehensive_masked_fill_cpu_int16 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.1850047Z test_comprehensive_masked_fill_cpu_int32 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.1850185Z test_comprehensive_masked_fill_cpu_int64 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1850328Z test_comprehensive_masked_fill_cpu_int8 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.1850469Z test_comprehensive_masked_fill_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.1850631Z test_comprehensive_masked_log_softmax_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.059s) 2022-11-23T01:37:01.1850787Z test_comprehensive_masked_log_softmax_cpu_float32 (__main__.TestDecompCPU) ... ok (0.669s) 2022-11-23T01:37:01.1850942Z test_comprehensive_masked_log_softmax_cpu_float64 (__main__.TestDecompCPU) ... ok (0.642s) 2022-11-23T01:37:01.1851098Z test_comprehensive_masked_logaddexp_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.122s) 2022-11-23T01:37:01.1851241Z test_comprehensive_masked_logaddexp_cpu_float32 (__main__.TestDecompCPU) ... ok (1.545s) 2022-11-23T01:37:01.1851396Z test_comprehensive_masked_logaddexp_cpu_float64 (__main__.TestDecompCPU) ... ok (1.542s) 2022-11-23T01:37:01.1851571Z test_comprehensive_masked_logsumexp_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:37:01.1851743Z test_comprehensive_masked_logsumexp_cpu_float32 (__main__.TestDecompCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:37:01.1851913Z test_comprehensive_masked_logsumexp_cpu_float64 (__main__.TestDecompCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:37:01.1852079Z test_comprehensive_masked_logsumexp_cpu_int16 (__main__.TestDecompCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:37:01.1852242Z test_comprehensive_masked_logsumexp_cpu_int32 (__main__.TestDecompCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:37:01.1852410Z test_comprehensive_masked_logsumexp_cpu_int64 (__main__.TestDecompCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:37:01.1852576Z test_comprehensive_masked_logsumexp_cpu_int8 (__main__.TestDecompCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:37:01.1852729Z test_comprehensive_masked_logsumexp_cpu_uint8 (__main__.TestDecompCPU) ... skip: Skipped! (0.000s) 2022-11-23T01:37:01.1852881Z test_comprehensive_masked_mean_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.618s) 2022-11-23T01:37:01.1853028Z test_comprehensive_masked_mean_cpu_bool (__main__.TestDecompCPU) ... ok (0.763s) 2022-11-23T01:37:01.1853180Z test_comprehensive_masked_mean_cpu_complex128 (__main__.TestDecompCPU) ... ok (2.230s) 2022-11-23T01:37:01.1853330Z test_comprehensive_masked_mean_cpu_complex64 (__main__.TestDecompCPU) ... ok (2.228s) 2022-11-23T01:37:01.1853525Z test_comprehensive_masked_mean_cpu_float16 (__main__.TestDecompCPU) ... ok (0.606s) 2022-11-23T01:37:01.1853670Z test_comprehensive_masked_mean_cpu_float32 (__main__.TestDecompCPU) ... ok (1.648s) 2022-11-23T01:37:01.1853810Z test_comprehensive_masked_mean_cpu_float64 (__main__.TestDecompCPU) ... ok (1.640s) 2022-11-23T01:37:01.1853954Z test_comprehensive_masked_mean_cpu_int16 (__main__.TestDecompCPU) ... ok (0.768s) 2022-11-23T01:37:01.1854084Z test_comprehensive_masked_mean_cpu_int32 (__main__.TestDecompCPU) ... ok (0.770s) 2022-11-23T01:37:01.1854221Z test_comprehensive_masked_mean_cpu_int64 (__main__.TestDecompCPU) ... ok (0.751s) 2022-11-23T01:37:01.1854392Z test_comprehensive_masked_mean_cpu_int8 (__main__.TestDecompCPU) ... ok (0.776s) 2022-11-23T01:37:01.1854530Z test_comprehensive_masked_mean_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.768s) 2022-11-23T01:37:01.1854682Z test_comprehensive_masked_median_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.066s) 2022-11-23T01:37:01.1854834Z test_comprehensive_masked_median_cpu_float32 (__main__.TestDecompCPU) ... ok (0.393s) 2022-11-23T01:37:01.1854984Z test_comprehensive_masked_median_cpu_float64 (__main__.TestDecompCPU) ... ok (0.382s) 2022-11-23T01:37:01.1855132Z test_comprehensive_masked_norm_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (2.980s) 2022-11-23T01:37:01.1855268Z test_comprehensive_masked_norm_cpu_float16 (__main__.TestDecompCPU) ... ok (3.084s) 2022-11-23T01:37:01.1855410Z test_comprehensive_masked_norm_cpu_float32 (__main__.TestDecompCPU) ... ok (8.913s) 2022-11-23T01:37:01.1855554Z test_comprehensive_masked_norm_cpu_float64 (__main__.TestDecompCPU) ... ok (8.597s) 2022-11-23T01:37:01.1855712Z test_comprehensive_masked_normalize_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.570s) 2022-11-23T01:37:01.1855872Z test_comprehensive_masked_normalize_cpu_complex128 (__main__.TestDecompCPU) ... ok (4.133s) 2022-11-23T01:37:01.1856028Z test_comprehensive_masked_normalize_cpu_complex64 (__main__.TestDecompCPU) ... ok (4.250s) 2022-11-23T01:37:01.1856184Z test_comprehensive_masked_normalize_cpu_float16 (__main__.TestDecompCPU) ... ok (0.600s) 2022-11-23T01:37:01.1856338Z test_comprehensive_masked_normalize_cpu_float32 (__main__.TestDecompCPU) ... ok (2.852s) 2022-11-23T01:37:01.1856479Z test_comprehensive_masked_normalize_cpu_float64 (__main__.TestDecompCPU) ... ok (2.775s) 2022-11-23T01:37:01.1856628Z test_comprehensive_masked_prod_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.862s) 2022-11-23T01:37:01.1856775Z test_comprehensive_masked_prod_cpu_bool (__main__.TestDecompCPU) ... ok (0.461s) 2022-11-23T01:37:01.1856926Z test_comprehensive_masked_prod_cpu_complex128 (__main__.TestDecompCPU) ... ok (5.613s) 2022-11-23T01:37:01.1857077Z test_comprehensive_masked_prod_cpu_complex64 (__main__.TestDecompCPU) ... ok (5.904s) 2022-11-23T01:37:01.1857223Z test_comprehensive_masked_prod_cpu_float32 (__main__.TestDecompCPU) ... ok (3.746s) 2022-11-23T01:37:01.1857370Z test_comprehensive_masked_prod_cpu_float64 (__main__.TestDecompCPU) ... ok (3.596s) 2022-11-23T01:37:01.1857516Z test_comprehensive_masked_prod_cpu_int16 (__main__.TestDecompCPU) ... ok (0.464s) 2022-11-23T01:37:01.1857657Z test_comprehensive_masked_prod_cpu_int32 (__main__.TestDecompCPU) ... ok (0.464s) 2022-11-23T01:37:01.1857784Z test_comprehensive_masked_prod_cpu_int64 (__main__.TestDecompCPU) ... ok (0.371s) 2022-11-23T01:37:01.1857928Z test_comprehensive_masked_prod_cpu_int8 (__main__.TestDecompCPU) ... ok (0.463s) 2022-11-23T01:37:01.1858073Z test_comprehensive_masked_prod_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.463s) 2022-11-23T01:37:01.1858228Z test_comprehensive_masked_scatter_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1858373Z test_comprehensive_masked_scatter_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1858528Z test_comprehensive_masked_scatter_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.055s) 2022-11-23T01:37:01.1858714Z test_comprehensive_masked_scatter_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.062s) 2022-11-23T01:37:01.1858986Z test_comprehensive_masked_scatter_cpu_float16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1859126Z test_comprehensive_masked_scatter_cpu_float32 (__main__.TestDecompCPU) ... ok (0.038s) 2022-11-23T01:37:01.1859276Z test_comprehensive_masked_scatter_cpu_float64 (__main__.TestDecompCPU) ... ok (0.036s) 2022-11-23T01:37:01.1859424Z test_comprehensive_masked_scatter_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1859566Z test_comprehensive_masked_scatter_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1859761Z test_comprehensive_masked_scatter_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1859907Z test_comprehensive_masked_scatter_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1860054Z test_comprehensive_masked_scatter_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1860205Z test_comprehensive_masked_select_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1860340Z test_comprehensive_masked_select_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1860491Z test_comprehensive_masked_select_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.131s) 2022-11-23T01:37:01.1860642Z test_comprehensive_masked_select_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.128s) 2022-11-23T01:37:01.1860792Z test_comprehensive_masked_select_cpu_float16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1860941Z test_comprehensive_masked_select_cpu_float32 (__main__.TestDecompCPU) ... ok (0.078s) 2022-11-23T01:37:01.1861088Z test_comprehensive_masked_select_cpu_float64 (__main__.TestDecompCPU) ... ok (0.068s) 2022-11-23T01:37:01.1861236Z test_comprehensive_masked_select_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1861380Z test_comprehensive_masked_select_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1861523Z test_comprehensive_masked_select_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1861659Z test_comprehensive_masked_select_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1861800Z test_comprehensive_masked_select_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1861953Z test_comprehensive_masked_softmax_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.057s) 2022-11-23T01:37:01.1862104Z test_comprehensive_masked_softmax_cpu_float32 (__main__.TestDecompCPU) ... ok (0.640s) 2022-11-23T01:37:01.1862254Z test_comprehensive_masked_softmax_cpu_float64 (__main__.TestDecompCPU) ... ok (0.607s) 2022-11-23T01:37:01.1862409Z test_comprehensive_masked_softmin_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.077s) 2022-11-23T01:37:01.1862558Z test_comprehensive_masked_softmin_cpu_float32 (__main__.TestDecompCPU) ... ok (0.824s) 2022-11-23T01:37:01.1862705Z test_comprehensive_masked_softmin_cpu_float64 (__main__.TestDecompCPU) ... ok (0.771s) 2022-11-23T01:37:01.1862837Z test_comprehensive_masked_std_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (1.328s) 2022-11-23T01:37:01.1862987Z test_comprehensive_masked_std_cpu_complex128 (__main__.TestDecompCPU) ... ok (7.781s) 2022-11-23T01:37:01.1863135Z test_comprehensive_masked_std_cpu_complex64 (__main__.TestDecompCPU) ... ok (8.079s) 2022-11-23T01:37:01.1863281Z test_comprehensive_masked_std_cpu_float32 (__main__.TestDecompCPU) ... ok (4.672s) 2022-11-23T01:37:01.1863428Z test_comprehensive_masked_std_cpu_float64 (__main__.TestDecompCPU) ... ok (4.773s) 2022-11-23T01:37:01.1863571Z test_comprehensive_masked_std_cpu_int16 (__main__.TestDecompCPU) ... ok (4.214s) 2022-11-23T01:37:01.1863710Z test_comprehensive_masked_std_cpu_int32 (__main__.TestDecompCPU) ... ok (4.196s) 2022-11-23T01:37:01.1863847Z test_comprehensive_masked_std_cpu_int64 (__main__.TestDecompCPU) ... ok (4.258s) 2022-11-23T01:37:01.1864010Z test_comprehensive_masked_std_cpu_int8 (__main__.TestDecompCPU) ... ok (4.195s) 2022-11-23T01:37:01.1864156Z test_comprehensive_masked_std_cpu_uint8 (__main__.TestDecompCPU) ... ok (4.223s) 2022-11-23T01:37:01.1864300Z test_comprehensive_masked_sum_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.262s) 2022-11-23T01:37:01.1864444Z test_comprehensive_masked_sum_cpu_bool (__main__.TestDecompCPU) ... ok (0.329s) 2022-11-23T01:37:01.1864592Z test_comprehensive_masked_sum_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.405s) 2022-11-23T01:37:01.1864739Z test_comprehensive_masked_sum_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.468s) 2022-11-23T01:37:01.1864886Z test_comprehensive_masked_sum_cpu_float16 (__main__.TestDecompCPU) ... ok (0.267s) 2022-11-23T01:37:01.1865055Z test_comprehensive_masked_sum_cpu_float32 (__main__.TestDecompCPU) ... ok (0.984s) 2022-11-23T01:37:01.1865200Z test_comprehensive_masked_sum_cpu_float64 (__main__.TestDecompCPU) ... ok (0.948s) 2022-11-23T01:37:01.1865331Z test_comprehensive_masked_sum_cpu_int16 (__main__.TestDecompCPU) ... ok (0.334s) 2022-11-23T01:37:01.1865471Z test_comprehensive_masked_sum_cpu_int32 (__main__.TestDecompCPU) ... ok (0.332s) 2022-11-23T01:37:01.1865608Z test_comprehensive_masked_sum_cpu_int64 (__main__.TestDecompCPU) ... ok (0.319s) 2022-11-23T01:37:01.1865747Z test_comprehensive_masked_sum_cpu_int8 (__main__.TestDecompCPU) ... ok (0.332s) 2022-11-23T01:37:01.1865889Z test_comprehensive_masked_sum_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.332s) 2022-11-23T01:37:01.1866036Z test_comprehensive_masked_var_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (1.199s) 2022-11-23T01:37:01.1866185Z test_comprehensive_masked_var_cpu_complex128 (__main__.TestDecompCPU) ... ok (7.092s) 2022-11-23T01:37:01.1866335Z test_comprehensive_masked_var_cpu_complex64 (__main__.TestDecompCPU) ... ok (7.268s) 2022-11-23T01:37:01.1866467Z test_comprehensive_masked_var_cpu_float16 (__main__.TestDecompCPU) ... ok (1.278s) 2022-11-23T01:37:01.1866615Z test_comprehensive_masked_var_cpu_float32 (__main__.TestDecompCPU) ... ok (4.262s) 2022-11-23T01:37:01.1866761Z test_comprehensive_masked_var_cpu_float64 (__main__.TestDecompCPU) ... ok (4.359s) 2022-11-23T01:37:01.1866903Z test_comprehensive_masked_var_cpu_int16 (__main__.TestDecompCPU) ... ok (3.952s) 2022-11-23T01:37:01.1867042Z test_comprehensive_masked_var_cpu_int32 (__main__.TestDecompCPU) ... ok (3.952s) 2022-11-23T01:37:01.1867179Z test_comprehensive_masked_var_cpu_int64 (__main__.TestDecompCPU) ... ok (3.948s) 2022-11-23T01:37:01.1867321Z test_comprehensive_masked_var_cpu_int8 (__main__.TestDecompCPU) ... ok (3.957s) 2022-11-23T01:37:01.1867466Z test_comprehensive_masked_var_cpu_uint8 (__main__.TestDecompCPU) ... ok (3.965s) 2022-11-23T01:37:01.1867598Z test_comprehensive_matmul_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.054s) 2022-11-23T01:37:01.1867745Z test_comprehensive_matmul_cpu_complex128 (__main__.TestDecompCPU) ... ok (2.412s) 2022-11-23T01:37:01.1867886Z test_comprehensive_matmul_cpu_complex64 (__main__.TestDecompCPU) ... ok (2.436s) 2022-11-23T01:37:01.1868031Z test_comprehensive_matmul_cpu_float32 (__main__.TestDecompCPU) ... ok (1.262s) 2022-11-23T01:37:01.1868249Z test_comprehensive_matmul_cpu_float64 (__main__.TestDecompCPU) ... ok (1.252s) 2022-11-23T01:37:01.1868393Z test_comprehensive_matmul_cpu_int16 (__main__.TestDecompCPU) ... ok (0.516s) 2022-11-23T01:37:01.1868531Z test_comprehensive_matmul_cpu_int32 (__main__.TestDecompCPU) ... ok (0.517s) 2022-11-23T01:37:01.1868734Z test_comprehensive_matmul_cpu_int64 (__main__.TestDecompCPU) ... ok (0.515s) 2022-11-23T01:37:01.1868860Z test_comprehensive_matmul_cpu_int8 (__main__.TestDecompCPU) ... ok (0.517s) 2022-11-23T01:37:01.1869032Z test_comprehensive_matmul_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.517s) 2022-11-23T01:37:01.1869221Z test_comprehensive_matrix_exp_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.1869405Z test_comprehensive_matrix_exp_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.279s) 2022-11-23T01:37:01.1869617Z test_comprehensive_matrix_exp_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.284s) 2022-11-23T01:37:01.1869779Z test_comprehensive_matrix_exp_cpu_float32 (__main__.TestDecompCPU) ... ok (0.126s) 2022-11-23T01:37:01.1870062Z test_comprehensive_matrix_exp_cpu_float64 (__main__.TestDecompCPU) ... ok (0.123s) 2022-11-23T01:37:01.1870237Z test_comprehensive_max_binary_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.205s) 2022-11-23T01:37:01.1870408Z test_comprehensive_max_binary_cpu_bool (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1870591Z test_comprehensive_max_binary_cpu_float16 (__main__.TestDecompCPU) ... ok (0.213s) 2022-11-23T01:37:01.1870755Z test_comprehensive_max_binary_cpu_float32 (__main__.TestDecompCPU) ... ok (1.165s) 2022-11-23T01:37:01.1870927Z test_comprehensive_max_binary_cpu_float64 (__main__.TestDecompCPU) ... ok (1.150s) 2022-11-23T01:37:01.1871096Z test_comprehensive_max_binary_cpu_int16 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.1871296Z test_comprehensive_max_binary_cpu_int32 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1871461Z test_comprehensive_max_binary_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1871656Z test_comprehensive_max_binary_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1871833Z test_comprehensive_max_binary_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1872041Z test_comprehensive_max_pool2d_with_indices_backward_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (1.410s) 2022-11-23T01:37:01.1872244Z test_comprehensive_max_pool2d_with_indices_backward_cpu_float32 (__main__.TestDecompCPU) ... ok (1.676s) 2022-11-23T01:37:01.1872406Z test_comprehensive_max_pool2d_with_indices_backward_cpu_float64 (__main__.TestDecompCPU) ... ok (1.521s) 2022-11-23T01:37:01.1872598Z test_comprehensive_max_reduction_no_dim_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.032s) 2022-11-23T01:37:01.1872786Z test_comprehensive_max_reduction_no_dim_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1872972Z test_comprehensive_max_reduction_no_dim_cpu_float16 (__main__.TestDecompCPU) ... ok (0.031s) 2022-11-23T01:37:01.1873156Z test_comprehensive_max_reduction_no_dim_cpu_float32 (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.1873368Z test_comprehensive_max_reduction_no_dim_cpu_float64 (__main__.TestDecompCPU) ... ok (0.059s) 2022-11-23T01:37:01.1873552Z test_comprehensive_max_reduction_no_dim_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1873737Z test_comprehensive_max_reduction_no_dim_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1873879Z test_comprehensive_max_reduction_no_dim_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1874057Z test_comprehensive_max_reduction_no_dim_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1874237Z test_comprehensive_max_reduction_no_dim_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1874445Z test_comprehensive_max_reduction_with_dim_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1874629Z test_comprehensive_max_reduction_with_dim_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1874823Z test_comprehensive_max_reduction_with_dim_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1875037Z test_comprehensive_max_reduction_with_dim_cpu_float32 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.1875223Z test_comprehensive_max_reduction_with_dim_cpu_float64 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.1875410Z test_comprehensive_max_reduction_with_dim_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1875553Z test_comprehensive_max_reduction_with_dim_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1896160Z test_comprehensive_max_reduction_with_dim_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1896498Z test_comprehensive_max_reduction_with_dim_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1896659Z test_comprehensive_max_reduction_with_dim_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1896802Z test_comprehensive_maximum_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.206s) 2022-11-23T01:37:01.1896939Z test_comprehensive_maximum_cpu_bool (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1897077Z test_comprehensive_maximum_cpu_float16 (__main__.TestDecompCPU) ... ok (0.213s) 2022-11-23T01:37:01.1897211Z test_comprehensive_maximum_cpu_float32 (__main__.TestDecompCPU) ... ok (1.164s) 2022-11-23T01:37:01.1897388Z test_comprehensive_maximum_cpu_float64 (__main__.TestDecompCPU) ... ok (1.144s) 2022-11-23T01:37:01.1897522Z test_comprehensive_maximum_cpu_int16 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1897655Z test_comprehensive_maximum_cpu_int32 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1897790Z test_comprehensive_maximum_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1897922Z test_comprehensive_maximum_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1898052Z test_comprehensive_maximum_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1898184Z test_comprehensive_mean_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.050s) 2022-11-23T01:37:01.1898315Z test_comprehensive_mean_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.215s) 2022-11-23T01:37:01.1898452Z test_comprehensive_mean_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.228s) 2022-11-23T01:37:01.1898586Z test_comprehensive_mean_cpu_float16 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.1898717Z test_comprehensive_mean_cpu_float32 (__main__.TestDecompCPU) ... ok (0.145s) 2022-11-23T01:37:01.1899018Z test_comprehensive_mean_cpu_float64 (__main__.TestDecompCPU) ... ok (0.137s) 2022-11-23T01:37:01.1899157Z test_comprehensive_median_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.045s) 2022-11-23T01:37:01.1899291Z test_comprehensive_median_cpu_float32 (__main__.TestDecompCPU) ... ok (0.072s) 2022-11-23T01:37:01.1899425Z test_comprehensive_median_cpu_float64 (__main__.TestDecompCPU) ... ok (0.070s) 2022-11-23T01:37:01.1899551Z test_comprehensive_median_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1899683Z test_comprehensive_median_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1899813Z test_comprehensive_median_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1899942Z test_comprehensive_median_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1900075Z test_comprehensive_median_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1900280Z test_comprehensive_meshgrid_list_of_tensors_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: meshgrid in torch.bfloat16 not supported (0.001s) 2022-11-23T01:37:01.1900483Z test_comprehensive_meshgrid_list_of_tensors_cpu_bool (__main__.TestDecompCPU) ... skip: meshgrid in torch.bool not supported (0.001s) 2022-11-23T01:37:01.1900696Z test_comprehensive_meshgrid_list_of_tensors_cpu_complex128 (__main__.TestDecompCPU) ... skip: meshgrid in torch.complex128 not supported (0.001s) 2022-11-23T01:37:01.1900901Z test_comprehensive_meshgrid_list_of_tensors_cpu_complex64 (__main__.TestDecompCPU) ... skip: meshgrid in torch.complex64 not supported (0.001s) 2022-11-23T01:37:01.1901097Z test_comprehensive_meshgrid_list_of_tensors_cpu_float16 (__main__.TestDecompCPU) ... skip: meshgrid in torch.float16 not supported (0.001s) 2022-11-23T01:37:01.1901297Z test_comprehensive_meshgrid_list_of_tensors_cpu_float32 (__main__.TestDecompCPU) ... skip: meshgrid in torch.float32 not supported (0.001s) 2022-11-23T01:37:01.1901489Z test_comprehensive_meshgrid_list_of_tensors_cpu_float64 (__main__.TestDecompCPU) ... skip: meshgrid in torch.float64 not supported (0.001s) 2022-11-23T01:37:01.1901751Z test_comprehensive_meshgrid_list_of_tensors_cpu_int16 (__main__.TestDecompCPU) ... skip: meshgrid in torch.int16 not supported (0.001s) 2022-11-23T01:37:01.1901950Z test_comprehensive_meshgrid_list_of_tensors_cpu_int32 (__main__.TestDecompCPU) ... skip: meshgrid in torch.int32 not supported (0.001s) 2022-11-23T01:37:01.1902143Z test_comprehensive_meshgrid_list_of_tensors_cpu_int64 (__main__.TestDecompCPU) ... skip: meshgrid in torch.int64 not supported (0.001s) 2022-11-23T01:37:01.1902336Z test_comprehensive_meshgrid_list_of_tensors_cpu_int8 (__main__.TestDecompCPU) ... skip: meshgrid in torch.int8 not supported (0.001s) 2022-11-23T01:37:01.1902565Z test_comprehensive_meshgrid_list_of_tensors_cpu_uint8 (__main__.TestDecompCPU) ... skip: meshgrid in torch.uint8 not supported (0.001s) 2022-11-23T01:37:01.1902775Z test_comprehensive_meshgrid_variadic_tensors_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: meshgrid in torch.bfloat16 not supported (0.001s) 2022-11-23T01:37:01.1902975Z test_comprehensive_meshgrid_variadic_tensors_cpu_bool (__main__.TestDecompCPU) ... skip: meshgrid in torch.bool not supported (0.001s) 2022-11-23T01:37:01.1903190Z test_comprehensive_meshgrid_variadic_tensors_cpu_complex128 (__main__.TestDecompCPU) ... skip: meshgrid in torch.complex128 not supported (0.001s) 2022-11-23T01:37:01.1903395Z test_comprehensive_meshgrid_variadic_tensors_cpu_complex64 (__main__.TestDecompCPU) ... skip: meshgrid in torch.complex64 not supported (0.001s) 2022-11-23T01:37:01.1903597Z test_comprehensive_meshgrid_variadic_tensors_cpu_float16 (__main__.TestDecompCPU) ... skip: meshgrid in torch.float16 not supported (0.001s) 2022-11-23T01:37:01.1903801Z test_comprehensive_meshgrid_variadic_tensors_cpu_float32 (__main__.TestDecompCPU) ... skip: meshgrid in torch.float32 not supported (0.001s) 2022-11-23T01:37:01.1904003Z test_comprehensive_meshgrid_variadic_tensors_cpu_float64 (__main__.TestDecompCPU) ... skip: meshgrid in torch.float64 not supported (0.001s) 2022-11-23T01:37:01.1904200Z test_comprehensive_meshgrid_variadic_tensors_cpu_int16 (__main__.TestDecompCPU) ... skip: meshgrid in torch.int16 not supported (0.001s) 2022-11-23T01:37:01.1904395Z test_comprehensive_meshgrid_variadic_tensors_cpu_int32 (__main__.TestDecompCPU) ... skip: meshgrid in torch.int32 not supported (0.001s) 2022-11-23T01:37:01.1904586Z test_comprehensive_meshgrid_variadic_tensors_cpu_int64 (__main__.TestDecompCPU) ... skip: meshgrid in torch.int64 not supported (0.001s) 2022-11-23T01:37:01.1904781Z test_comprehensive_meshgrid_variadic_tensors_cpu_int8 (__main__.TestDecompCPU) ... skip: meshgrid in torch.int8 not supported (0.001s) 2022-11-23T01:37:01.1904983Z test_comprehensive_meshgrid_variadic_tensors_cpu_uint8 (__main__.TestDecompCPU) ... skip: meshgrid in torch.uint8 not supported (0.001s) 2022-11-23T01:37:01.1905124Z test_comprehensive_min_binary_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.204s) 2022-11-23T01:37:01.1905257Z test_comprehensive_min_binary_cpu_bool (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1905398Z test_comprehensive_min_binary_cpu_float16 (__main__.TestDecompCPU) ... ok (0.212s) 2022-11-23T01:37:01.1905533Z test_comprehensive_min_binary_cpu_float32 (__main__.TestDecompCPU) ... ok (1.165s) 2022-11-23T01:37:01.1905665Z test_comprehensive_min_binary_cpu_float64 (__main__.TestDecompCPU) ... ok (1.141s) 2022-11-23T01:37:01.1905800Z test_comprehensive_min_binary_cpu_int16 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1905932Z test_comprehensive_min_binary_cpu_int32 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.1906060Z test_comprehensive_min_binary_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1906195Z test_comprehensive_min_binary_cpu_int8 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.1906329Z test_comprehensive_min_binary_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1906479Z test_comprehensive_min_reduction_no_dim_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.032s) 2022-11-23T01:37:01.1906658Z test_comprehensive_min_reduction_no_dim_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1906810Z test_comprehensive_min_reduction_no_dim_cpu_float16 (__main__.TestDecompCPU) ... ok (0.032s) 2022-11-23T01:37:01.1906959Z test_comprehensive_min_reduction_no_dim_cpu_float32 (__main__.TestDecompCPU) ... ok (0.059s) 2022-11-23T01:37:01.1907107Z test_comprehensive_min_reduction_no_dim_cpu_float64 (__main__.TestDecompCPU) ... ok (0.058s) 2022-11-23T01:37:01.1907253Z test_comprehensive_min_reduction_no_dim_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1907428Z test_comprehensive_min_reduction_no_dim_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1907571Z test_comprehensive_min_reduction_no_dim_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1907711Z test_comprehensive_min_reduction_no_dim_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1907854Z test_comprehensive_min_reduction_no_dim_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1908009Z test_comprehensive_min_reduction_with_dim_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1908238Z test_comprehensive_min_reduction_with_dim_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1908393Z test_comprehensive_min_reduction_with_dim_cpu_float16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1908545Z test_comprehensive_min_reduction_with_dim_cpu_float32 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.1908697Z test_comprehensive_min_reduction_with_dim_cpu_float64 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.1908848Z test_comprehensive_min_reduction_with_dim_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1908994Z test_comprehensive_min_reduction_with_dim_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1909141Z test_comprehensive_min_reduction_with_dim_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1909287Z test_comprehensive_min_reduction_with_dim_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1909432Z test_comprehensive_min_reduction_with_dim_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1909570Z test_comprehensive_minimum_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.204s) 2022-11-23T01:37:01.1909702Z test_comprehensive_minimum_cpu_bool (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1909838Z test_comprehensive_minimum_cpu_float16 (__main__.TestDecompCPU) ... ok (0.212s) 2022-11-23T01:37:01.1909975Z test_comprehensive_minimum_cpu_float32 (__main__.TestDecompCPU) ... ok (1.159s) 2022-11-23T01:37:01.1910109Z test_comprehensive_minimum_cpu_float64 (__main__.TestDecompCPU) ... ok (1.142s) 2022-11-23T01:37:01.1910237Z test_comprehensive_minimum_cpu_int16 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1910373Z test_comprehensive_minimum_cpu_int32 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1910504Z test_comprehensive_minimum_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1910634Z test_comprehensive_minimum_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1910765Z test_comprehensive_minimum_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1910895Z test_comprehensive_mm_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1911026Z test_comprehensive_mm_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.030s) 2022-11-23T01:37:01.1911156Z test_comprehensive_mm_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.031s) 2022-11-23T01:37:01.1911283Z test_comprehensive_mm_cpu_float32 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.1911412Z test_comprehensive_mm_cpu_float64 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.1911540Z test_comprehensive_mm_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1911710Z test_comprehensive_mm_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1911835Z test_comprehensive_mm_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1911959Z test_comprehensive_mm_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1912085Z test_comprehensive_mm_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1912216Z test_comprehensive_mode_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1912340Z test_comprehensive_mode_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1912497Z test_comprehensive_mode_cpu_float16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1912626Z test_comprehensive_mode_cpu_float32 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.1912757Z test_comprehensive_mode_cpu_float64 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1912890Z test_comprehensive_mode_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1913018Z test_comprehensive_mode_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1913145Z test_comprehensive_mode_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1913271Z test_comprehensive_mode_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1913392Z test_comprehensive_mode_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1913530Z test_comprehensive_movedim_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1913662Z test_comprehensive_movedim_cpu_bool (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1913805Z test_comprehensive_movedim_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.1913945Z test_comprehensive_movedim_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.1914078Z test_comprehensive_movedim_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.1914215Z test_comprehensive_movedim_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1914349Z test_comprehensive_movedim_cpu_float32 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1914485Z test_comprehensive_movedim_cpu_float64 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1914613Z test_comprehensive_movedim_cpu_int16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1914744Z test_comprehensive_movedim_cpu_int32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1914875Z test_comprehensive_movedim_cpu_int64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1915010Z test_comprehensive_movedim_cpu_int8 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1915141Z test_comprehensive_movedim_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1915275Z test_comprehensive_msort_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1915407Z test_comprehensive_msort_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.1915535Z test_comprehensive_msort_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1915660Z test_comprehensive_msort_cpu_float32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1915791Z test_comprehensive_msort_cpu_float64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1915921Z test_comprehensive_msort_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1916049Z test_comprehensive_msort_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1916175Z test_comprehensive_msort_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1916304Z test_comprehensive_msort_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1916429Z test_comprehensive_msort_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1916560Z test_comprehensive_mul_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.031s) 2022-11-23T01:37:01.1916711Z test_comprehensive_mul_cpu_bool (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1916850Z test_comprehensive_mul_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.028s) 2022-11-23T01:37:01.1916986Z test_comprehensive_mul_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.145s) 2022-11-23T01:37:01.1917124Z test_comprehensive_mul_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.040s) 2022-11-23T01:37:01.1917259Z test_comprehensive_mul_cpu_float16 (__main__.TestDecompCPU) ... ok (0.034s) 2022-11-23T01:37:01.1917395Z test_comprehensive_mul_cpu_float32 (__main__.TestDecompCPU) ... ok (0.491s) 2022-11-23T01:37:01.1917555Z test_comprehensive_mul_cpu_float64 (__main__.TestDecompCPU) ... ok (0.482s) 2022-11-23T01:37:01.1917690Z test_comprehensive_mul_cpu_int16 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.1917813Z test_comprehensive_mul_cpu_int32 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.1917947Z test_comprehensive_mul_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1918082Z test_comprehensive_mul_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1918212Z test_comprehensive_mul_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1918363Z test_comprehensive_multinomial_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1918512Z test_comprehensive_multinomial_cpu_float32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1918657Z test_comprehensive_multinomial_cpu_float64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1918797Z test_comprehensive_mv_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1918925Z test_comprehensive_mv_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.045s) 2022-11-23T01:37:01.1919064Z test_comprehensive_mv_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.046s) 2022-11-23T01:37:01.1919201Z test_comprehensive_mv_cpu_float32 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.1919341Z test_comprehensive_mv_cpu_float64 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.1919477Z test_comprehensive_mv_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1919609Z test_comprehensive_mv_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1919741Z test_comprehensive_mv_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1919873Z test_comprehensive_mv_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1919993Z test_comprehensive_mv_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1920158Z test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.046s) 2022-11-23T01:37:01.1920324Z test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestDecompCPU) ... ok (0.201s) 2022-11-23T01:37:01.1920487Z test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_float64 (__main__.TestDecompCPU) ... ok (0.194s) 2022-11-23T01:37:01.1920647Z test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_int16 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1920802Z test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_int32 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1920953Z test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_int64 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1921109Z test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_int8 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1921259Z test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1921408Z test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.046s) 2022-11-23T01:37:01.1921568Z test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestDecompCPU) ... ok (0.201s) 2022-11-23T01:37:01.1921728Z test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_float64 (__main__.TestDecompCPU) ... ok (0.194s) 2022-11-23T01:37:01.1921909Z test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_int16 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.1922065Z test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_int32 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1922215Z test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_int64 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1922370Z test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_int8 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1922519Z test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1922669Z test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.046s) 2022-11-23T01:37:01.1922853Z test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestDecompCPU) ... ok (0.202s) 2022-11-23T01:37:01.1923012Z test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_float64 (__main__.TestDecompCPU) ... ok (0.193s) 2022-11-23T01:37:01.1923168Z test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_int16 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1923324Z test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_int32 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1923472Z test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_int64 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1923627Z test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_int8 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1923776Z test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1923922Z test_comprehensive_nan_to_num_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.1924055Z test_comprehensive_nan_to_num_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1924205Z test_comprehensive_nan_to_num_cpu_float16 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.1924345Z test_comprehensive_nan_to_num_cpu_float32 (__main__.TestDecompCPU) ... ok (0.036s) 2022-11-23T01:37:01.1924486Z test_comprehensive_nan_to_num_cpu_float64 (__main__.TestDecompCPU) ... ok (0.035s) 2022-11-23T01:37:01.1924631Z test_comprehensive_nan_to_num_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1924768Z test_comprehensive_nan_to_num_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1924904Z test_comprehensive_nan_to_num_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1925044Z test_comprehensive_nan_to_num_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1925175Z test_comprehensive_nan_to_num_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1925320Z test_comprehensive_nanmean_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.266s) 2022-11-23T01:37:01.1925462Z test_comprehensive_nanmean_cpu_float16 (__main__.TestDecompCPU) ... ok (0.274s) 2022-11-23T01:37:01.1925605Z test_comprehensive_nanmean_cpu_float32 (__main__.TestDecompCPU) ... ok (0.551s) 2022-11-23T01:37:01.1925749Z test_comprehensive_nanmean_cpu_float64 (__main__.TestDecompCPU) ... ok (0.531s) 2022-11-23T01:37:01.1925895Z test_comprehensive_nanmedian_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.044s) 2022-11-23T01:37:01.1926040Z test_comprehensive_nanmedian_cpu_float32 (__main__.TestDecompCPU) ... ok (0.072s) 2022-11-23T01:37:01.1926181Z test_comprehensive_nanmedian_cpu_float64 (__main__.TestDecompCPU) ... ok (0.069s) 2022-11-23T01:37:01.1926309Z test_comprehensive_nanmedian_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1926450Z test_comprehensive_nanmedian_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1926593Z test_comprehensive_nanmedian_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1926737Z test_comprehensive_nanmedian_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1926879Z test_comprehensive_nanmedian_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1927051Z test_comprehensive_nanquantile_cpu_float32 (__main__.TestDecompCPU) ... ok (3.257s) 2022-11-23T01:37:01.1927199Z test_comprehensive_nanquantile_cpu_float64 (__main__.TestDecompCPU) ... ok (3.110s) 2022-11-23T01:37:01.1927339Z test_comprehensive_nansum_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.121s) 2022-11-23T01:37:01.1927480Z test_comprehensive_nansum_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1927611Z test_comprehensive_nansum_cpu_float16 (__main__.TestDecompCPU) ... ok (0.122s) 2022-11-23T01:37:01.1927752Z test_comprehensive_nansum_cpu_float32 (__main__.TestDecompCPU) ... ok (0.273s) 2022-11-23T01:37:01.1927892Z test_comprehensive_nansum_cpu_float64 (__main__.TestDecompCPU) ... ok (0.263s) 2022-11-23T01:37:01.1928059Z test_comprehensive_nansum_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1928197Z test_comprehensive_nansum_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1928334Z test_comprehensive_nansum_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1928477Z test_comprehensive_nansum_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1928614Z test_comprehensive_nansum_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1928751Z test_comprehensive_narrow_copy_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1928899Z test_comprehensive_narrow_copy_cpu_bool (__main__.TestDecompCPU) ... ok (0.027s) 2022-11-23T01:37:01.1929050Z test_comprehensive_narrow_copy_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.072s) 2022-11-23T01:37:01.1929200Z test_comprehensive_narrow_copy_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.074s) 2022-11-23T01:37:01.1929351Z test_comprehensive_narrow_copy_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.073s) 2022-11-23T01:37:01.1929496Z test_comprehensive_narrow_copy_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1929638Z test_comprehensive_narrow_copy_cpu_float32 (__main__.TestDecompCPU) ... ok (0.041s) 2022-11-23T01:37:01.1929779Z test_comprehensive_narrow_copy_cpu_float64 (__main__.TestDecompCPU) ... ok (0.040s) 2022-11-23T01:37:01.1929912Z test_comprehensive_narrow_copy_cpu_int16 (__main__.TestDecompCPU) ... ok (0.027s) 2022-11-23T01:37:01.1930053Z test_comprehensive_narrow_copy_cpu_int32 (__main__.TestDecompCPU) ... ok (0.028s) 2022-11-23T01:37:01.1930191Z test_comprehensive_narrow_copy_cpu_int64 (__main__.TestDecompCPU) ... ok (0.027s) 2022-11-23T01:37:01.1930335Z test_comprehensive_narrow_copy_cpu_int8 (__main__.TestDecompCPU) ... ok (0.027s) 2022-11-23T01:37:01.1930472Z test_comprehensive_narrow_copy_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.027s) 2022-11-23T01:37:01.1930618Z test_comprehensive_narrow_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1930756Z test_comprehensive_narrow_cpu_bool (__main__.TestDecompCPU) ... ok (0.053s) 2022-11-23T01:37:01.1930902Z test_comprehensive_narrow_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.193s) 2022-11-23T01:37:01.1931036Z test_comprehensive_narrow_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.147s) 2022-11-23T01:37:01.1931176Z test_comprehensive_narrow_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.197s) 2022-11-23T01:37:01.1931317Z test_comprehensive_narrow_cpu_float16 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.1931461Z test_comprehensive_narrow_cpu_float32 (__main__.TestDecompCPU) ... ok (0.113s) 2022-11-23T01:37:01.1931601Z test_comprehensive_narrow_cpu_float64 (__main__.TestDecompCPU) ... ok (0.111s) 2022-11-23T01:37:01.1931739Z test_comprehensive_narrow_cpu_int16 (__main__.TestDecompCPU) ... ok (0.053s) 2022-11-23T01:37:01.1931878Z test_comprehensive_narrow_cpu_int32 (__main__.TestDecompCPU) ... ok (0.053s) 2022-11-23T01:37:01.1932015Z test_comprehensive_narrow_cpu_int64 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.1932139Z test_comprehensive_narrow_cpu_int8 (__main__.TestDecompCPU) ... ok (0.053s) 2022-11-23T01:37:01.1932300Z test_comprehensive_narrow_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.053s) 2022-11-23T01:37:01.1932458Z test_comprehensive_native_batch_norm_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.033s) 2022-11-23T01:37:01.1932613Z test_comprehensive_native_batch_norm_cpu_float32 (__main__.TestDecompCPU) ... ok (0.467s) 2022-11-23T01:37:01.1932767Z test_comprehensive_native_batch_norm_cpu_float64 (__main__.TestDecompCPU) ... ok (0.446s) 2022-11-23T01:37:01.1932935Z test_comprehensive_native_dropout_backward_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.026s) 2022-11-23T01:37:01.1933097Z test_comprehensive_native_dropout_backward_cpu_bool (__main__.TestDecompCPU) ... ok (0.150s) 2022-11-23T01:37:01.1933291Z test_comprehensive_native_dropout_backward_cpu_float16 (__main__.TestDecompCPU) ... ok (0.027s) 2022-11-23T01:37:01.1933455Z test_comprehensive_native_dropout_backward_cpu_float32 (__main__.TestDecompCPU) ... ok (0.573s) 2022-11-23T01:37:01.1933607Z test_comprehensive_native_dropout_backward_cpu_float64 (__main__.TestDecompCPU) ... ok (0.553s) 2022-11-23T01:37:01.1933769Z test_comprehensive_native_dropout_backward_cpu_int16 (__main__.TestDecompCPU) ... ok (0.150s) 2022-11-23T01:37:01.1933929Z test_comprehensive_native_dropout_backward_cpu_int32 (__main__.TestDecompCPU) ... ok (0.150s) 2022-11-23T01:37:01.1934090Z test_comprehensive_native_dropout_backward_cpu_int64 (__main__.TestDecompCPU) ... ok (0.150s) 2022-11-23T01:37:01.1934249Z test_comprehensive_native_dropout_backward_cpu_int8 (__main__.TestDecompCPU) ... ok (0.150s) 2022-11-23T01:37:01.1934410Z test_comprehensive_native_dropout_backward_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.150s) 2022-11-23T01:37:01.1934568Z test_comprehensive_native_layer_norm_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.1934723Z test_comprehensive_native_layer_norm_cpu_float32 (__main__.TestDecompCPU) ... ok (0.359s) 2022-11-23T01:37:01.1934862Z test_comprehensive_native_layer_norm_cpu_float64 (__main__.TestDecompCPU) ... ok (0.337s) 2022-11-23T01:37:01.1935002Z test_comprehensive_ne_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.043s) 2022-11-23T01:37:01.1935137Z test_comprehensive_ne_cpu_bool (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1935279Z test_comprehensive_ne_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.134s) 2022-11-23T01:37:01.1935420Z test_comprehensive_ne_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.136s) 2022-11-23T01:37:01.1935559Z test_comprehensive_ne_cpu_float16 (__main__.TestDecompCPU) ... ok (0.044s) 2022-11-23T01:37:01.1935697Z test_comprehensive_ne_cpu_float32 (__main__.TestDecompCPU) ... ok (0.075s) 2022-11-23T01:37:01.1935834Z test_comprehensive_ne_cpu_float64 (__main__.TestDecompCPU) ... ok (0.074s) 2022-11-23T01:37:01.1935969Z test_comprehensive_ne_cpu_int16 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1936091Z test_comprehensive_ne_cpu_int32 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1936223Z test_comprehensive_ne_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1936355Z test_comprehensive_ne_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1936488Z test_comprehensive_ne_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1936626Z test_comprehensive_neg_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1936769Z test_comprehensive_neg_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.077s) 2022-11-23T01:37:01.1936911Z test_comprehensive_neg_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.040s) 2022-11-23T01:37:01.1937056Z test_comprehensive_neg_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.079s) 2022-11-23T01:37:01.1937182Z test_comprehensive_neg_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1937318Z test_comprehensive_neg_cpu_float32 (__main__.TestDecompCPU) ... ok (0.041s) 2022-11-23T01:37:01.1937453Z test_comprehensive_neg_cpu_float64 (__main__.TestDecompCPU) ... ok (0.040s) 2022-11-23T01:37:01.1937610Z test_comprehensive_neg_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1937747Z test_comprehensive_neg_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1937877Z test_comprehensive_neg_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.1938010Z test_comprehensive_neg_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1938139Z test_comprehensive_neg_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1938327Z test_comprehensive_new_empty_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: new_empty in torch.bfloat16 not supported (0.001s) 2022-11-23T01:37:01.1938546Z test_comprehensive_new_empty_cpu_bool (__main__.TestDecompCPU) ... skip: new_empty in torch.bool not supported (0.001s) 2022-11-23T01:37:01.1938878Z test_comprehensive_new_empty_cpu_complex128 (__main__.TestDecompCPU) ... skip: new_empty in torch.complex128 not supported (0.001s) 2022-11-23T01:37:01.1939086Z test_comprehensive_new_empty_cpu_complex32 (__main__.TestDecompCPU) ... skip: new_empty in torch.complex32 not supported (0.001s) 2022-11-23T01:37:01.1939281Z test_comprehensive_new_empty_cpu_complex64 (__main__.TestDecompCPU) ... skip: new_empty in torch.complex64 not supported (0.001s) 2022-11-23T01:37:01.1939473Z test_comprehensive_new_empty_cpu_float16 (__main__.TestDecompCPU) ... skip: new_empty in torch.float16 not supported (0.001s) 2022-11-23T01:37:01.1939669Z test_comprehensive_new_empty_cpu_float32 (__main__.TestDecompCPU) ... skip: new_empty in torch.float32 not supported (0.001s) 2022-11-23T01:37:01.1939861Z test_comprehensive_new_empty_cpu_float64 (__main__.TestDecompCPU) ... skip: new_empty in torch.float64 not supported (0.001s) 2022-11-23T01:37:01.1940053Z test_comprehensive_new_empty_cpu_int16 (__main__.TestDecompCPU) ... skip: new_empty in torch.int16 not supported (0.001s) 2022-11-23T01:37:01.1940240Z test_comprehensive_new_empty_cpu_int32 (__main__.TestDecompCPU) ... skip: new_empty in torch.int32 not supported (0.001s) 2022-11-23T01:37:01.1940412Z test_comprehensive_new_empty_cpu_int64 (__main__.TestDecompCPU) ... skip: new_empty in torch.int64 not supported (0.001s) 2022-11-23T01:37:01.1940599Z test_comprehensive_new_empty_cpu_int8 (__main__.TestDecompCPU) ... skip: new_empty in torch.int8 not supported (0.001s) 2022-11-23T01:37:01.1940785Z test_comprehensive_new_empty_cpu_uint8 (__main__.TestDecompCPU) ... skip: new_empty in torch.uint8 not supported (0.001s) 2022-11-23T01:37:01.1940994Z test_comprehensive_new_empty_strided_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.1941203Z test_comprehensive_new_empty_strided_cpu_bool (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.1941417Z test_comprehensive_new_empty_strided_cpu_complex128 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.1941629Z test_comprehensive_new_empty_strided_cpu_complex32 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.1941842Z test_comprehensive_new_empty_strided_cpu_complex64 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.1942049Z test_comprehensive_new_empty_strided_cpu_float16 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.1942254Z test_comprehensive_new_empty_strided_cpu_float32 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.1942443Z test_comprehensive_new_empty_strided_cpu_float64 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.1942644Z test_comprehensive_new_empty_strided_cpu_int16 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.1942894Z test_comprehensive_new_empty_strided_cpu_int32 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.1943097Z test_comprehensive_new_empty_strided_cpu_int64 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.1943300Z test_comprehensive_new_empty_strided_cpu_int8 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.1943507Z test_comprehensive_new_empty_strided_cpu_uint8 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.1943723Z test_comprehensive_new_full_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1943864Z test_comprehensive_new_full_cpu_bool (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1944013Z test_comprehensive_new_full_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.1944164Z test_comprehensive_new_full_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.1944293Z test_comprehensive_new_full_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.1944438Z test_comprehensive_new_full_cpu_float16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1944584Z test_comprehensive_new_full_cpu_float32 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.1944720Z test_comprehensive_new_full_cpu_float64 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1944862Z test_comprehensive_new_full_cpu_int16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1945006Z test_comprehensive_new_full_cpu_int32 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1945148Z test_comprehensive_new_full_cpu_int64 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1945287Z test_comprehensive_new_full_cpu_int8 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1945414Z test_comprehensive_new_full_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1945561Z test_comprehensive_new_ones_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1945704Z test_comprehensive_new_ones_cpu_bool (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1945855Z test_comprehensive_new_ones_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.1946001Z test_comprehensive_new_ones_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.1946149Z test_comprehensive_new_ones_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.1946291Z test_comprehensive_new_ones_cpu_float16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1946433Z test_comprehensive_new_ones_cpu_float32 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1946557Z test_comprehensive_new_ones_cpu_float64 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1946696Z test_comprehensive_new_ones_cpu_int16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1946839Z test_comprehensive_new_ones_cpu_int32 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1946976Z test_comprehensive_new_ones_cpu_int64 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1947114Z test_comprehensive_new_ones_cpu_int8 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1947253Z test_comprehensive_new_ones_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1947399Z test_comprehensive_new_zeros_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1947536Z test_comprehensive_new_zeros_cpu_bool (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1947677Z test_comprehensive_new_zeros_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.1947824Z test_comprehensive_new_zeros_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.1947966Z test_comprehensive_new_zeros_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.1948233Z test_comprehensive_new_zeros_cpu_float16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1948381Z test_comprehensive_new_zeros_cpu_float32 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.1948520Z test_comprehensive_new_zeros_cpu_float64 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1948662Z test_comprehensive_new_zeros_cpu_int16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1948807Z test_comprehensive_new_zeros_cpu_int32 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1948936Z test_comprehensive_new_zeros_cpu_int64 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1949106Z test_comprehensive_new_zeros_cpu_int8 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1949246Z test_comprehensive_new_zeros_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1949394Z test_comprehensive_nextafter_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1949543Z test_comprehensive_nextafter_cpu_float32 (__main__.TestDecompCPU) ... ok (0.077s) 2022-11-23T01:37:01.1949684Z test_comprehensive_nextafter_cpu_float64 (__main__.TestDecompCPU) ... ok (0.076s) 2022-11-23T01:37:01.1949887Z test_comprehensive_nn_functional__scaled_dot_product_attention_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: Skipped (0.000s) 2022-11-23T01:37:01.1950089Z test_comprehensive_nn_functional__scaled_dot_product_attention_cpu_float32 (__main__.TestDecompCPU) ... skip: Skipped (0.000s) 2022-11-23T01:37:01.1950289Z test_comprehensive_nn_functional__scaled_dot_product_attention_cpu_float64 (__main__.TestDecompCPU) ... skip: Skipped (0.000s) 2022-11-23T01:37:01.1950458Z test_comprehensive_nn_functional_adaptive_avg_pool1d_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.1950633Z test_comprehensive_nn_functional_adaptive_avg_pool1d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.183s) 2022-11-23T01:37:01.1950808Z test_comprehensive_nn_functional_adaptive_avg_pool1d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.180s) 2022-11-23T01:37:01.1950983Z test_comprehensive_nn_functional_adaptive_avg_pool2d_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.1951153Z test_comprehensive_nn_functional_adaptive_avg_pool2d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.164s) 2022-11-23T01:37:01.1951324Z test_comprehensive_nn_functional_adaptive_avg_pool2d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.163s) 2022-11-23T01:37:01.1951494Z test_comprehensive_nn_functional_adaptive_avg_pool3d_cpu_float16 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.1951667Z test_comprehensive_nn_functional_adaptive_avg_pool3d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.155s) 2022-11-23T01:37:01.1951832Z test_comprehensive_nn_functional_adaptive_avg_pool3d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.155s) 2022-11-23T01:37:01.1951992Z test_comprehensive_nn_functional_adaptive_max_pool1d_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.025s) 2022-11-23T01:37:01.1952158Z test_comprehensive_nn_functional_adaptive_max_pool1d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.103s) 2022-11-23T01:37:01.1952325Z test_comprehensive_nn_functional_adaptive_max_pool1d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.100s) 2022-11-23T01:37:01.1952498Z test_comprehensive_nn_functional_adaptive_max_pool2d_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1952666Z test_comprehensive_nn_functional_adaptive_max_pool2d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1952833Z test_comprehensive_nn_functional_adaptive_max_pool2d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1953000Z test_comprehensive_nn_functional_adaptive_max_pool3d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.1953163Z test_comprehensive_nn_functional_adaptive_max_pool3d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.1953362Z test_comprehensive_nn_functional_alpha_dropout_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.027s) 2022-11-23T01:37:01.1953519Z test_comprehensive_nn_functional_alpha_dropout_cpu_float32 (__main__.TestDecompCPU) ... ok (0.076s) 2022-11-23T01:37:01.1953686Z test_comprehensive_nn_functional_alpha_dropout_cpu_float64 (__main__.TestDecompCPU) ... ok (0.073s) 2022-11-23T01:37:01.1953851Z test_comprehensive_nn_functional_avg_pool1d_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.1954015Z test_comprehensive_nn_functional_avg_pool1d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.092s) 2022-11-23T01:37:01.1954175Z test_comprehensive_nn_functional_avg_pool1d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.089s) 2022-11-23T01:37:01.1954363Z test_comprehensive_nn_functional_avg_pool1d_cpu_int64 (__main__.TestDecompCPU) ... ok (0.026s) 2022-11-23T01:37:01.1954528Z test_comprehensive_nn_functional_avg_pool2d_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1954693Z test_comprehensive_nn_functional_avg_pool2d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1954855Z test_comprehensive_nn_functional_avg_pool2d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1955004Z test_comprehensive_nn_functional_avg_pool2d_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1955166Z test_comprehensive_nn_functional_avg_pool3d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1955324Z test_comprehensive_nn_functional_avg_pool3d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1955485Z test_comprehensive_nn_functional_avg_pool3d_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1955653Z test_comprehensive_nn_functional_batch_norm_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.033s) 2022-11-23T01:37:01.1955815Z test_comprehensive_nn_functional_batch_norm_cpu_float32 (__main__.TestDecompCPU) ... ok (0.465s) 2022-11-23T01:37:01.1955973Z test_comprehensive_nn_functional_batch_norm_cpu_float64 (__main__.TestDecompCPU) ... ok (0.441s) 2022-11-23T01:37:01.1956137Z test_comprehensive_nn_functional_bilinear_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.097s) 2022-11-23T01:37:01.1956297Z test_comprehensive_nn_functional_bilinear_cpu_float32 (__main__.TestDecompCPU) ... ok (0.339s) 2022-11-23T01:37:01.1956444Z test_comprehensive_nn_functional_bilinear_cpu_float64 (__main__.TestDecompCPU) ... ok (0.327s) 2022-11-23T01:37:01.1956602Z test_comprehensive_nn_functional_bilinear_cpu_int16 (__main__.TestDecompCPU) ... ok (0.098s) 2022-11-23T01:37:01.1956761Z test_comprehensive_nn_functional_bilinear_cpu_int32 (__main__.TestDecompCPU) ... ok (0.098s) 2022-11-23T01:37:01.1956921Z test_comprehensive_nn_functional_bilinear_cpu_int64 (__main__.TestDecompCPU) ... ok (0.097s) 2022-11-23T01:37:01.1957079Z test_comprehensive_nn_functional_bilinear_cpu_int8 (__main__.TestDecompCPU) ... ok (0.098s) 2022-11-23T01:37:01.1957236Z test_comprehensive_nn_functional_bilinear_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.098s) 2022-11-23T01:37:01.1957411Z test_comprehensive_nn_functional_binary_cross_entropy_cpu_float32 (__main__.TestDecompCPU) ... ok (0.353s) 2022-11-23T01:37:01.1957584Z test_comprehensive_nn_functional_binary_cross_entropy_cpu_float64 (__main__.TestDecompCPU) ... ok (0.338s) 2022-11-23T01:37:01.1957774Z test_comprehensive_nn_functional_binary_cross_entropy_with_logits_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.200s) 2022-11-23T01:37:01.1957948Z test_comprehensive_nn_functional_binary_cross_entropy_with_logits_cpu_float32 (__main__.TestDecompCPU) ... ok (1.098s) 2022-11-23T01:37:01.1958137Z test_comprehensive_nn_functional_binary_cross_entropy_with_logits_cpu_float64 (__main__.TestDecompCPU) ... ok (1.060s) 2022-11-23T01:37:01.1958296Z test_comprehensive_nn_functional_celu_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1958453Z test_comprehensive_nn_functional_celu_cpu_float32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1958635Z test_comprehensive_nn_functional_celu_cpu_float64 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.1958798Z test_comprehensive_nn_functional_conv1d_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.1958960Z test_comprehensive_nn_functional_conv1d_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.992s) 2022-11-23T01:37:01.1959122Z test_comprehensive_nn_functional_conv1d_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.065s) 2022-11-23T01:37:01.1959280Z test_comprehensive_nn_functional_conv1d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.1959453Z test_comprehensive_nn_functional_conv1d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.053s) 2022-11-23T01:37:01.1959608Z test_comprehensive_nn_functional_conv1d_cpu_int64 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.1959769Z test_comprehensive_nn_functional_conv2d_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.066s) 2022-11-23T01:37:01.1959932Z test_comprehensive_nn_functional_conv2d_cpu_complex128 (__main__.TestDecompCPU) ... ok (9.092s) 2022-11-23T01:37:01.1960095Z test_comprehensive_nn_functional_conv2d_cpu_complex64 (__main__.TestDecompCPU) ... ok (11.165s) 2022-11-23T01:37:01.1960253Z test_comprehensive_nn_functional_conv2d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.528s) 2022-11-23T01:37:01.1960409Z test_comprehensive_nn_functional_conv2d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.539s) 2022-11-23T01:37:01.1960562Z test_comprehensive_nn_functional_conv2d_cpu_int64 (__main__.TestDecompCPU) ... ok (0.186s) 2022-11-23T01:37:01.1960726Z test_comprehensive_nn_functional_conv_transpose1d_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.801s) 2022-11-23T01:37:01.1960905Z test_comprehensive_nn_functional_conv_transpose1d_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.857s) 2022-11-23T01:37:01.1961075Z test_comprehensive_nn_functional_conv_transpose1d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.083s) 2022-11-23T01:37:01.1961249Z test_comprehensive_nn_functional_conv_transpose1d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.080s) 2022-11-23T01:37:01.1961417Z test_comprehensive_nn_functional_conv_transpose1d_cpu_int64 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.1961592Z test_comprehensive_nn_functional_conv_transpose2d_cpu_complex128 (__main__.TestDecompCPU) ... ok (5.147s) 2022-11-23T01:37:01.1961765Z test_comprehensive_nn_functional_conv_transpose2d_cpu_complex64 (__main__.TestDecompCPU) ... ok (5.195s) 2022-11-23T01:37:01.1961937Z test_comprehensive_nn_functional_conv_transpose2d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.232s) 2022-11-23T01:37:01.1962110Z test_comprehensive_nn_functional_conv_transpose2d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.229s) 2022-11-23T01:37:01.1962268Z test_comprehensive_nn_functional_conv_transpose2d_cpu_int64 (__main__.TestDecompCPU) ... ok (0.075s) 2022-11-23T01:37:01.1962446Z test_comprehensive_nn_functional_conv_transpose3d_cpu_complex128 (__main__.TestDecompCPU) ... ok (21.219s) 2022-11-23T01:37:01.1962621Z test_comprehensive_nn_functional_conv_transpose3d_cpu_complex64 (__main__.TestDecompCPU) ... ok (21.448s) 2022-11-23T01:37:01.1962791Z test_comprehensive_nn_functional_conv_transpose3d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.888s) 2022-11-23T01:37:01.1962962Z test_comprehensive_nn_functional_conv_transpose3d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.883s) 2022-11-23T01:37:01.1963130Z test_comprehensive_nn_functional_conv_transpose3d_cpu_int64 (__main__.TestDecompCPU) ... ok (0.337s) 2022-11-23T01:37:01.1963312Z test_comprehensive_nn_functional_cosine_embedding_loss_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.236s) 2022-11-23T01:37:01.1963487Z test_comprehensive_nn_functional_cosine_embedding_loss_cpu_bool (__main__.TestDecompCPU) ... ok (0.244s) 2022-11-23T01:37:01.1963663Z test_comprehensive_nn_functional_cosine_embedding_loss_cpu_float32 (__main__.TestDecompCPU) ... ok (1.018s) 2022-11-23T01:37:01.1963854Z test_comprehensive_nn_functional_cosine_embedding_loss_cpu_float64 (__main__.TestDecompCPU) ... ok (0.934s) 2022-11-23T01:37:01.1964028Z test_comprehensive_nn_functional_cosine_embedding_loss_cpu_int16 (__main__.TestDecompCPU) ... ok (0.245s) 2022-11-23T01:37:01.1964201Z test_comprehensive_nn_functional_cosine_embedding_loss_cpu_int32 (__main__.TestDecompCPU) ... ok (0.244s) 2022-11-23T01:37:01.1964368Z test_comprehensive_nn_functional_cosine_embedding_loss_cpu_int64 (__main__.TestDecompCPU) ... ok (0.242s) 2022-11-23T01:37:01.1964538Z test_comprehensive_nn_functional_cosine_embedding_loss_cpu_int8 (__main__.TestDecompCPU) ... ok (0.245s) 2022-11-23T01:37:01.1964741Z test_comprehensive_nn_functional_cosine_embedding_loss_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.251s) 2022-11-23T01:37:01.1964912Z test_comprehensive_nn_functional_cosine_similarity_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.301s) 2022-11-23T01:37:01.1965083Z test_comprehensive_nn_functional_cosine_similarity_cpu_float32 (__main__.TestDecompCPU) ... ok (2.145s) 2022-11-23T01:37:01.1965251Z test_comprehensive_nn_functional_cosine_similarity_cpu_float64 (__main__.TestDecompCPU) ... ok (2.056s) 2022-11-23T01:37:01.1965420Z test_comprehensive_nn_functional_cross_entropy_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.130s) 2022-11-23T01:37:01.1965575Z test_comprehensive_nn_functional_cross_entropy_cpu_float32 (__main__.TestDecompCPU) ... ok (0.574s) 2022-11-23T01:37:01.1965736Z test_comprehensive_nn_functional_cross_entropy_cpu_float64 (__main__.TestDecompCPU) ... ok (0.551s) 2022-11-23T01:37:01.1965900Z test_comprehensive_nn_functional_ctc_loss_cpu_float32 (__main__.TestDecompCPU) ... ok (0.095s) 2022-11-23T01:37:01.1966064Z test_comprehensive_nn_functional_ctc_loss_cpu_float64 (__main__.TestDecompCPU) ... ok (0.093s) 2022-11-23T01:37:01.1966230Z test_comprehensive_nn_functional_dropout2d_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.1966394Z test_comprehensive_nn_functional_dropout2d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.400s) 2022-11-23T01:37:01.1966560Z test_comprehensive_nn_functional_dropout2d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.394s) 2022-11-23T01:37:01.1966725Z test_comprehensive_nn_functional_dropout3d_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.039s) 2022-11-23T01:37:01.1966871Z test_comprehensive_nn_functional_dropout3d_cpu_float32 (__main__.TestDecompCPU) ... ok (2.914s) 2022-11-23T01:37:01.1967033Z test_comprehensive_nn_functional_dropout3d_cpu_float64 (__main__.TestDecompCPU) ... ok (2.911s) 2022-11-23T01:37:01.1967196Z test_comprehensive_nn_functional_dropout_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.1967357Z test_comprehensive_nn_functional_dropout_cpu_float32 (__main__.TestDecompCPU) ... ok (0.072s) 2022-11-23T01:37:01.1967517Z test_comprehensive_nn_functional_dropout_cpu_float64 (__main__.TestDecompCPU) ... ok (0.068s) 2022-11-23T01:37:01.1967675Z test_comprehensive_nn_functional_elu_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1967829Z test_comprehensive_nn_functional_elu_cpu_float32 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.1967983Z test_comprehensive_nn_functional_elu_cpu_float64 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.1968151Z test_comprehensive_nn_functional_embedding_bag_cpu_float16 (__main__.TestDecompCPU) ... ok (0.113s) 2022-11-23T01:37:01.1968301Z test_comprehensive_nn_functional_embedding_bag_cpu_float32 (__main__.TestDecompCPU) ... ok (0.149s) 2022-11-23T01:37:01.1968461Z test_comprehensive_nn_functional_embedding_bag_cpu_float64 (__main__.TestDecompCPU) ... ok (0.079s) 2022-11-23T01:37:01.1968625Z test_comprehensive_nn_functional_embedding_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1968786Z test_comprehensive_nn_functional_embedding_cpu_float16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1968946Z test_comprehensive_nn_functional_embedding_cpu_float32 (__main__.TestDecompCPU) ... ok (0.040s) 2022-11-23T01:37:01.1969133Z test_comprehensive_nn_functional_embedding_cpu_float64 (__main__.TestDecompCPU) ... ok (0.039s) 2022-11-23T01:37:01.1969326Z test_comprehensive_nn_functional_feature_alpha_dropout_with_train_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.1969519Z test_comprehensive_nn_functional_feature_alpha_dropout_with_train_cpu_float32 (__main__.TestDecompCPU) ... ok (1.653s) 2022-11-23T01:37:01.1969705Z test_comprehensive_nn_functional_feature_alpha_dropout_with_train_cpu_float64 (__main__.TestDecompCPU) ... ok (1.650s) 2022-11-23T01:37:01.1969886Z test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1970099Z test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1970297Z test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1970496Z test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1970686Z test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_float16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1970877Z test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_float32 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1971061Z test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_float64 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.1971248Z test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1971433Z test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1971619Z test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1971793Z test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1971976Z test_comprehensive_nn_functional_feature_alpha_dropout_without_train_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1972155Z test_comprehensive_nn_functional_fractional_max_pool2d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.031s) 2022-11-23T01:37:01.1972330Z test_comprehensive_nn_functional_fractional_max_pool2d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.1972505Z test_comprehensive_nn_functional_fractional_max_pool3d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.039s) 2022-11-23T01:37:01.1972678Z test_comprehensive_nn_functional_fractional_max_pool3d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.038s) 2022-11-23T01:37:01.1972852Z test_comprehensive_nn_functional_gaussian_nll_loss_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (7.605s) 2022-11-23T01:37:01.1973028Z test_comprehensive_nn_functional_gaussian_nll_loss_cpu_float32 (__main__.TestDecompCPU) ... ok (55.828s) 2022-11-23T01:37:01.1973195Z test_comprehensive_nn_functional_gaussian_nll_loss_cpu_float64 (__main__.TestDecompCPU) ... ok (54.380s) 2022-11-23T01:37:01.1973341Z test_comprehensive_nn_functional_gelu_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.1973495Z test_comprehensive_nn_functional_gelu_cpu_float32 (__main__.TestDecompCPU) ... ok (0.213s) 2022-11-23T01:37:01.1973650Z test_comprehensive_nn_functional_gelu_cpu_float64 (__main__.TestDecompCPU) ... ok (0.207s) 2022-11-23T01:37:01.1973804Z test_comprehensive_nn_functional_glu_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.101s) 2022-11-23T01:37:01.1973960Z test_comprehensive_nn_functional_glu_cpu_float32 (__main__.TestDecompCPU) ... ok (3.250s) 2022-11-23T01:37:01.1974137Z test_comprehensive_nn_functional_glu_cpu_float64 (__main__.TestDecompCPU) ... ok (3.220s) 2022-11-23T01:37:01.1974304Z test_comprehensive_nn_functional_grid_sample_cpu_float32 (__main__.TestDecompCPU) ... ok (0.569s) 2022-11-23T01:37:01.1974463Z test_comprehensive_nn_functional_grid_sample_cpu_float64 (__main__.TestDecompCPU) ... ok (0.547s) 2022-11-23T01:37:01.1974622Z test_comprehensive_nn_functional_group_norm_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.079s) 2022-11-23T01:37:01.1974773Z test_comprehensive_nn_functional_group_norm_cpu_float32 (__main__.TestDecompCPU) ... ok (0.698s) 2022-11-23T01:37:01.1974930Z test_comprehensive_nn_functional_group_norm_cpu_float64 (__main__.TestDecompCPU) ... ok (0.672s) 2022-11-23T01:37:01.1975118Z test_comprehensive_nn_functional_hardshrink_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1975277Z test_comprehensive_nn_functional_hardshrink_cpu_float32 (__main__.TestDecompCPU) ... ok (0.050s) 2022-11-23T01:37:01.1975437Z test_comprehensive_nn_functional_hardshrink_cpu_float64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.1975604Z test_comprehensive_nn_functional_hardsigmoid_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1975763Z test_comprehensive_nn_functional_hardsigmoid_cpu_float32 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.1975920Z test_comprehensive_nn_functional_hardsigmoid_cpu_float64 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.1976079Z test_comprehensive_nn_functional_hardswish_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.1976227Z test_comprehensive_nn_functional_hardswish_cpu_float32 (__main__.TestDecompCPU) ... ok (0.106s) 2022-11-23T01:37:01.1976389Z test_comprehensive_nn_functional_hardswish_cpu_float64 (__main__.TestDecompCPU) ... ok (0.104s) 2022-11-23T01:37:01.1976550Z test_comprehensive_nn_functional_hardtanh_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.1976715Z test_comprehensive_nn_functional_hardtanh_cpu_float32 (__main__.TestDecompCPU) ... ok (0.050s) 2022-11-23T01:37:01.1976875Z test_comprehensive_nn_functional_hardtanh_cpu_float64 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.1977034Z test_comprehensive_nn_functional_hardtanh_cpu_int16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.1977191Z test_comprehensive_nn_functional_hardtanh_cpu_int32 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.1977350Z test_comprehensive_nn_functional_hardtanh_cpu_int64 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.1977495Z test_comprehensive_nn_functional_hardtanh_cpu_int8 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.1977670Z test_comprehensive_nn_functional_hinge_embedding_loss_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.210s) 2022-11-23T01:37:01.1977846Z test_comprehensive_nn_functional_hinge_embedding_loss_cpu_float32 (__main__.TestDecompCPU) ... ok (1.036s) 2022-11-23T01:37:01.1978021Z test_comprehensive_nn_functional_hinge_embedding_loss_cpu_float64 (__main__.TestDecompCPU) ... ok (1.009s) 2022-11-23T01:37:01.1978186Z test_comprehensive_nn_functional_huber_loss_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.034s) 2022-11-23T01:37:01.1978347Z test_comprehensive_nn_functional_huber_loss_cpu_float16 (__main__.TestDecompCPU) ... ok (0.037s) 2022-11-23T01:37:01.1978504Z test_comprehensive_nn_functional_huber_loss_cpu_float32 (__main__.TestDecompCPU) ... ok (0.342s) 2022-11-23T01:37:01.1978658Z test_comprehensive_nn_functional_huber_loss_cpu_float64 (__main__.TestDecompCPU) ... ok (0.330s) 2022-11-23T01:37:01.1978948Z test_comprehensive_nn_functional_instance_norm_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.097s) 2022-11-23T01:37:01.1979107Z test_comprehensive_nn_functional_instance_norm_cpu_float32 (__main__.TestDecompCPU) ... ok (0.942s) 2022-11-23T01:37:01.1979270Z test_comprehensive_nn_functional_instance_norm_cpu_float64 (__main__.TestDecompCPU) ... ok (0.906s) 2022-11-23T01:37:01.1979487Z test_comprehensive_nn_functional_interpolate_area_cpu_float32 (__main__.TestDecompCPU) ... ok (0.126s) 2022-11-23T01:37:01.1979660Z test_comprehensive_nn_functional_interpolate_area_cpu_float64 (__main__.TestDecompCPU) ... ok (0.122s) 2022-11-23T01:37:01.1979842Z test_comprehensive_nn_functional_interpolate_bicubic_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.093s) 2022-11-23T01:37:01.1980016Z test_comprehensive_nn_functional_interpolate_bicubic_cpu_float32 (__main__.TestDecompCPU) ... ok (0.196s) 2022-11-23T01:37:01.1980190Z test_comprehensive_nn_functional_interpolate_bicubic_cpu_float64 (__main__.TestDecompCPU) ... ok (0.201s) 2022-11-23T01:37:01.1980366Z test_comprehensive_nn_functional_interpolate_bilinear_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.493s) 2022-11-23T01:37:01.1980577Z test_comprehensive_nn_functional_interpolate_bilinear_cpu_float32 (__main__.TestDecompCPU) ... ok (5.323s) 2022-11-23T01:37:01.1980741Z test_comprehensive_nn_functional_interpolate_bilinear_cpu_float64 (__main__.TestDecompCPU) ... ok (5.198s) 2022-11-23T01:37:01.1980918Z test_comprehensive_nn_functional_interpolate_linear_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1981093Z test_comprehensive_nn_functional_interpolate_linear_cpu_float32 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1981264Z test_comprehensive_nn_functional_interpolate_linear_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1981437Z test_comprehensive_nn_functional_interpolate_nearest_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.1981609Z test_comprehensive_nn_functional_interpolate_nearest_cpu_float32 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1981783Z test_comprehensive_nn_functional_interpolate_nearest_cpu_float64 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1981955Z test_comprehensive_nn_functional_interpolate_nearest_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1982134Z test_comprehensive_nn_functional_interpolate_trilinear_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.1982311Z test_comprehensive_nn_functional_interpolate_trilinear_cpu_float32 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1982472Z test_comprehensive_nn_functional_interpolate_trilinear_cpu_float64 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.1982632Z test_comprehensive_nn_functional_kl_div_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.188s) 2022-11-23T01:37:01.1982788Z test_comprehensive_nn_functional_kl_div_cpu_float32 (__main__.TestDecompCPU) ... ok (0.649s) 2022-11-23T01:37:01.1982946Z test_comprehensive_nn_functional_kl_div_cpu_float64 (__main__.TestDecompCPU) ... ok (0.612s) 2022-11-23T01:37:01.1983111Z test_comprehensive_nn_functional_l1_loss_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.037s) 2022-11-23T01:37:01.1983275Z test_comprehensive_nn_functional_l1_loss_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.352s) 2022-11-23T01:37:01.1983438Z test_comprehensive_nn_functional_l1_loss_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.369s) 2022-11-23T01:37:01.1983596Z test_comprehensive_nn_functional_l1_loss_cpu_float16 (__main__.TestDecompCPU) ... ok (0.039s) 2022-11-23T01:37:01.1983741Z test_comprehensive_nn_functional_l1_loss_cpu_float32 (__main__.TestDecompCPU) ... ok (0.217s) 2022-11-23T01:37:01.1983897Z test_comprehensive_nn_functional_l1_loss_cpu_float64 (__main__.TestDecompCPU) ... ok (0.211s) 2022-11-23T01:37:01.1984060Z test_comprehensive_nn_functional_layer_norm_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.1984219Z test_comprehensive_nn_functional_layer_norm_cpu_float32 (__main__.TestDecompCPU) ... ok (0.197s) 2022-11-23T01:37:01.1984377Z test_comprehensive_nn_functional_layer_norm_cpu_float64 (__main__.TestDecompCPU) ... ok (0.186s) 2022-11-23T01:37:01.1984537Z test_comprehensive_nn_functional_leaky_relu_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.1984727Z test_comprehensive_nn_functional_leaky_relu_cpu_float32 (__main__.TestDecompCPU) ... ok (0.233s) 2022-11-23T01:37:01.1984885Z test_comprehensive_nn_functional_leaky_relu_cpu_float64 (__main__.TestDecompCPU) ... ok (0.229s) 2022-11-23T01:37:01.1985043Z test_comprehensive_nn_functional_linear_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.070s) 2022-11-23T01:37:01.1985194Z test_comprehensive_nn_functional_linear_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.902s) 2022-11-23T01:37:01.1985358Z test_comprehensive_nn_functional_linear_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.932s) 2022-11-23T01:37:01.1985513Z test_comprehensive_nn_functional_linear_cpu_float32 (__main__.TestDecompCPU) ... ok (0.524s) 2022-11-23T01:37:01.1985699Z test_comprehensive_nn_functional_linear_cpu_float64 (__main__.TestDecompCPU) ... ok (0.505s) 2022-11-23T01:37:01.1985854Z test_comprehensive_nn_functional_linear_cpu_int16 (__main__.TestDecompCPU) ... ok (0.100s) 2022-11-23T01:37:01.1986008Z test_comprehensive_nn_functional_linear_cpu_int32 (__main__.TestDecompCPU) ... ok (0.100s) 2022-11-23T01:37:01.1986160Z test_comprehensive_nn_functional_linear_cpu_int64 (__main__.TestDecompCPU) ... ok (0.098s) 2022-11-23T01:37:01.1986311Z test_comprehensive_nn_functional_linear_cpu_int8 (__main__.TestDecompCPU) ... ok (0.099s) 2022-11-23T01:37:01.1986462Z test_comprehensive_nn_functional_linear_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.099s) 2022-11-23T01:37:01.1986624Z test_comprehensive_nn_functional_local_response_norm_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.181s) 2022-11-23T01:37:01.1986798Z test_comprehensive_nn_functional_local_response_norm_cpu_float32 (__main__.TestDecompCPU) ... ok (1.108s) 2022-11-23T01:37:01.1986973Z test_comprehensive_nn_functional_local_response_norm_cpu_float64 (__main__.TestDecompCPU) ... ok (1.066s) 2022-11-23T01:37:01.1987143Z test_comprehensive_nn_functional_local_response_norm_cpu_int64 (__main__.TestDecompCPU) ... ok (0.227s) 2022-11-23T01:37:01.1987309Z test_comprehensive_nn_functional_logsigmoid_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.1987471Z test_comprehensive_nn_functional_logsigmoid_cpu_float32 (__main__.TestDecompCPU) ... ok (0.027s) 2022-11-23T01:37:01.1987627Z test_comprehensive_nn_functional_logsigmoid_cpu_float64 (__main__.TestDecompCPU) ... ok (0.026s) 2022-11-23T01:37:01.1987803Z test_comprehensive_nn_functional_margin_ranking_loss_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.235s) 2022-11-23T01:37:01.1987978Z test_comprehensive_nn_functional_margin_ranking_loss_cpu_float32 (__main__.TestDecompCPU) ... ok (1.450s) 2022-11-23T01:37:01.1988199Z test_comprehensive_nn_functional_margin_ranking_loss_cpu_float64 (__main__.TestDecompCPU) ... ok (1.409s) 2022-11-23T01:37:01.1988379Z test_comprehensive_nn_functional_margin_ranking_loss_cpu_int16 (__main__.TestDecompCPU) ... ok (0.560s) 2022-11-23T01:37:01.1988548Z test_comprehensive_nn_functional_margin_ranking_loss_cpu_int32 (__main__.TestDecompCPU) ... ok (0.558s) 2022-11-23T01:37:01.1988719Z test_comprehensive_nn_functional_margin_ranking_loss_cpu_int64 (__main__.TestDecompCPU) ... ok (0.555s) 2022-11-23T01:37:01.1988895Z test_comprehensive_nn_functional_margin_ranking_loss_cpu_int8 (__main__.TestDecompCPU) ... ok (0.559s) 2022-11-23T01:37:01.1989065Z test_comprehensive_nn_functional_margin_ranking_loss_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.631s) 2022-11-23T01:37:01.1989230Z test_comprehensive_nn_functional_max_pool1d_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (2.725s) 2022-11-23T01:37:01.1989395Z test_comprehensive_nn_functional_max_pool1d_cpu_float32 (__main__.TestDecompCPU) ... ok (9.968s) 2022-11-23T01:37:01.1989554Z test_comprehensive_nn_functional_max_pool1d_cpu_float64 (__main__.TestDecompCPU) ... ok (9.518s) 2022-11-23T01:37:01.1989702Z test_comprehensive_nn_functional_max_pool2d_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.790s) 2022-11-23T01:37:01.1989859Z test_comprehensive_nn_functional_max_pool2d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.643s) 2022-11-23T01:37:01.1990050Z test_comprehensive_nn_functional_max_pool2d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.623s) 2022-11-23T01:37:01.1990207Z test_comprehensive_nn_functional_max_pool3d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.288s) 2022-11-23T01:37:01.1990360Z test_comprehensive_nn_functional_max_pool3d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.270s) 2022-11-23T01:37:01.1990528Z test_comprehensive_nn_functional_max_unpool1d_cpu_float32 (__main__.TestDecompCPU) ... ok (2.255s) 2022-11-23T01:37:01.1990691Z test_comprehensive_nn_functional_max_unpool1d_cpu_float64 (__main__.TestDecompCPU) ... ok (2.161s) 2022-11-23T01:37:01.1990896Z test_comprehensive_nn_functional_max_unpool1d_grad_cpu_float32 (__main__.TestDecompCPU) ... ok (0.247s) 2022-11-23T01:37:01.1991066Z test_comprehensive_nn_functional_max_unpool1d_grad_cpu_float64 (__main__.TestDecompCPU) ... ok (0.265s) 2022-11-23T01:37:01.1991219Z test_comprehensive_nn_functional_max_unpool2d_cpu_float32 (__main__.TestDecompCPU) ... ok (3.163s) 2022-11-23T01:37:01.1991383Z test_comprehensive_nn_functional_max_unpool2d_cpu_float64 (__main__.TestDecompCPU) ... ok (3.083s) 2022-11-23T01:37:01.1991557Z test_comprehensive_nn_functional_max_unpool2d_grad_cpu_float32 (__main__.TestDecompCPU) ... ok (0.191s) 2022-11-23T01:37:01.1991725Z test_comprehensive_nn_functional_max_unpool2d_grad_cpu_float64 (__main__.TestDecompCPU) ... ok (0.178s) 2022-11-23T01:37:01.1991886Z test_comprehensive_nn_functional_max_unpool3d_cpu_float32 (__main__.TestDecompCPU) ... ok (3.077s) 2022-11-23T01:37:01.1992045Z test_comprehensive_nn_functional_max_unpool3d_cpu_float64 (__main__.TestDecompCPU) ... ok (3.140s) 2022-11-23T01:37:01.1992216Z test_comprehensive_nn_functional_max_unpool3d_grad_cpu_float32 (__main__.TestDecompCPU) ... ok (0.334s) 2022-11-23T01:37:01.1992384Z test_comprehensive_nn_functional_max_unpool3d_grad_cpu_float64 (__main__.TestDecompCPU) ... ok (0.238s) 2022-11-23T01:37:01.1992530Z test_comprehensive_nn_functional_mish_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1992685Z test_comprehensive_nn_functional_mish_cpu_float32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.1992837Z test_comprehensive_nn_functional_mish_cpu_float64 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.1992997Z test_comprehensive_nn_functional_mse_loss_cpu_float16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.1993156Z test_comprehensive_nn_functional_mse_loss_cpu_float32 (__main__.TestDecompCPU) ... ok (0.107s) 2022-11-23T01:37:01.1993313Z test_comprehensive_nn_functional_mse_loss_cpu_float64 (__main__.TestDecompCPU) ... ok (0.103s) 2022-11-23T01:37:01.1993482Z test_comprehensive_nn_functional_multi_margin_loss_cpu_float32 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1993650Z test_comprehensive_nn_functional_multi_margin_loss_cpu_float64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1993828Z test_comprehensive_nn_functional_multilabel_margin_loss_cpu_float32 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.1993992Z test_comprehensive_nn_functional_multilabel_margin_loss_cpu_float64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.1994174Z test_comprehensive_nn_functional_multilabel_soft_margin_loss_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.062s) 2022-11-23T01:37:01.1994356Z test_comprehensive_nn_functional_multilabel_soft_margin_loss_cpu_float32 (__main__.TestDecompCPU) ... ok (0.291s) 2022-11-23T01:37:01.1994529Z test_comprehensive_nn_functional_multilabel_soft_margin_loss_cpu_float64 (__main__.TestDecompCPU) ... ok (0.279s) 2022-11-23T01:37:01.1994692Z test_comprehensive_nn_functional_nll_loss_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.082s) 2022-11-23T01:37:01.1994852Z test_comprehensive_nn_functional_nll_loss_cpu_float32 (__main__.TestDecompCPU) ... ok (0.499s) 2022-11-23T01:37:01.1995010Z test_comprehensive_nn_functional_nll_loss_cpu_float64 (__main__.TestDecompCPU) ... ok (0.473s) 2022-11-23T01:37:01.1995201Z test_comprehensive_nn_functional_normalize_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.113s) 2022-11-23T01:37:01.1995370Z test_comprehensive_nn_functional_normalize_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.357s) 2022-11-23T01:37:01.1995525Z test_comprehensive_nn_functional_normalize_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.379s) 2022-11-23T01:37:01.1995688Z test_comprehensive_nn_functional_normalize_cpu_float32 (__main__.TestDecompCPU) ... ok (0.900s) 2022-11-23T01:37:01.1995847Z test_comprehensive_nn_functional_normalize_cpu_float64 (__main__.TestDecompCPU) ... ok (0.880s) 2022-11-23T01:37:01.1996028Z test_comprehensive_nn_functional_one_hot_cpu_int64 (__main__.TestDecompCPU) ... ok (0.082s) 2022-11-23T01:37:01.1996249Z test_comprehensive_nn_functional_pad_circular_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.1996469Z test_comprehensive_nn_functional_pad_circular_cpu_bool (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.1996690Z test_comprehensive_nn_functional_pad_circular_cpu_complex128 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.1996911Z test_comprehensive_nn_functional_pad_circular_cpu_complex64 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.1997130Z test_comprehensive_nn_functional_pad_circular_cpu_float16 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.1997342Z test_comprehensive_nn_functional_pad_circular_cpu_float32 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.1997549Z test_comprehensive_nn_functional_pad_circular_cpu_float64 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.1997749Z test_comprehensive_nn_functional_pad_circular_cpu_int16 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.1997957Z test_comprehensive_nn_functional_pad_circular_cpu_int32 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.1998161Z test_comprehensive_nn_functional_pad_circular_cpu_int64 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.1998371Z test_comprehensive_nn_functional_pad_circular_cpu_int8 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.1998577Z test_comprehensive_nn_functional_pad_circular_cpu_uint8 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.1998747Z test_comprehensive_nn_functional_pad_constant_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.066s) 2022-11-23T01:37:01.1998912Z test_comprehensive_nn_functional_pad_constant_cpu_bool (__main__.TestDecompCPU) ... ok (0.139s) 2022-11-23T01:37:01.1999087Z test_comprehensive_nn_functional_pad_constant_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.016s) 2022-11-23T01:37:01.1999255Z test_comprehensive_nn_functional_pad_constant_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.031s) 2022-11-23T01:37:01.1999422Z test_comprehensive_nn_functional_pad_constant_cpu_float16 (__main__.TestDecompCPU) ... ok (0.066s) 2022-11-23T01:37:01.1999570Z test_comprehensive_nn_functional_pad_constant_cpu_float32 (__main__.TestDecompCPU) ... ok (0.583s) 2022-11-23T01:37:01.1999728Z test_comprehensive_nn_functional_pad_constant_cpu_float64 (__main__.TestDecompCPU) ... ok (0.572s) 2022-11-23T01:37:01.1999897Z test_comprehensive_nn_functional_pad_constant_cpu_int16 (__main__.TestDecompCPU) ... ok (0.141s) 2022-11-23T01:37:01.2000056Z test_comprehensive_nn_functional_pad_constant_cpu_int32 (__main__.TestDecompCPU) ... ok (0.140s) 2022-11-23T01:37:01.2000237Z test_comprehensive_nn_functional_pad_constant_cpu_int64 (__main__.TestDecompCPU) ... ok (0.138s) 2022-11-23T01:37:01.2000398Z test_comprehensive_nn_functional_pad_constant_cpu_int8 (__main__.TestDecompCPU) ... ok (0.141s) 2022-11-23T01:37:01.2000561Z test_comprehensive_nn_functional_pad_constant_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.140s) 2022-11-23T01:37:01.2000730Z test_comprehensive_nn_functional_pad_reflect_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2000884Z test_comprehensive_nn_functional_pad_reflect_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2001047Z test_comprehensive_nn_functional_pad_reflect_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2001233Z test_comprehensive_nn_functional_pad_reflect_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2001408Z test_comprehensive_nn_functional_pad_replicate_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2001582Z test_comprehensive_nn_functional_pad_replicate_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2001749Z test_comprehensive_nn_functional_pad_replicate_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2001911Z test_comprehensive_nn_functional_pad_replicate_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2002087Z test_comprehensive_nn_functional_pairwise_distance_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2002261Z test_comprehensive_nn_functional_pairwise_distance_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.185s) 2022-11-23T01:37:01.2002426Z test_comprehensive_nn_functional_pairwise_distance_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.197s) 2022-11-23T01:37:01.2002596Z test_comprehensive_nn_functional_pairwise_distance_cpu_float16 (__main__.TestDecompCPU) ... ok (0.051s) 2022-11-23T01:37:01.2002768Z test_comprehensive_nn_functional_pairwise_distance_cpu_float32 (__main__.TestDecompCPU) ... ok (0.139s) 2022-11-23T01:37:01.2002938Z test_comprehensive_nn_functional_pairwise_distance_cpu_float64 (__main__.TestDecompCPU) ... ok (0.131s) 2022-11-23T01:37:01.2003108Z test_comprehensive_nn_functional_pairwise_distance_cpu_int16 (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.2003275Z test_comprehensive_nn_functional_pairwise_distance_cpu_int32 (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.2003442Z test_comprehensive_nn_functional_pairwise_distance_cpu_int64 (__main__.TestDecompCPU) ... ok (0.028s) 2022-11-23T01:37:01.2003610Z test_comprehensive_nn_functional_pairwise_distance_cpu_int8 (__main__.TestDecompCPU) ... ok (0.028s) 2022-11-23T01:37:01.2003780Z test_comprehensive_nn_functional_pairwise_distance_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.028s) 2022-11-23T01:37:01.2003926Z test_comprehensive_nn_functional_pdist_cpu_float32 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2004085Z test_comprehensive_nn_functional_pdist_cpu_float64 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2004251Z test_comprehensive_nn_functional_pixel_shuffle_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2004418Z test_comprehensive_nn_functional_pixel_shuffle_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2004590Z test_comprehensive_nn_functional_pixel_shuffle_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2004758Z test_comprehensive_nn_functional_pixel_shuffle_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2004924Z test_comprehensive_nn_functional_pixel_shuffle_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2005087Z test_comprehensive_nn_functional_pixel_shuffle_cpu_float32 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2005245Z test_comprehensive_nn_functional_pixel_shuffle_cpu_float64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2005419Z test_comprehensive_nn_functional_pixel_shuffle_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2005582Z test_comprehensive_nn_functional_pixel_shuffle_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2005740Z test_comprehensive_nn_functional_pixel_shuffle_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2005902Z test_comprehensive_nn_functional_pixel_shuffle_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2006059Z test_comprehensive_nn_functional_pixel_shuffle_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2006228Z test_comprehensive_nn_functional_pixel_unshuffle_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2006422Z test_comprehensive_nn_functional_pixel_unshuffle_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2006595Z test_comprehensive_nn_functional_pixel_unshuffle_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2006767Z test_comprehensive_nn_functional_pixel_unshuffle_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2006923Z test_comprehensive_nn_functional_pixel_unshuffle_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2007091Z test_comprehensive_nn_functional_pixel_unshuffle_cpu_float32 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2007259Z test_comprehensive_nn_functional_pixel_unshuffle_cpu_float64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2007425Z test_comprehensive_nn_functional_pixel_unshuffle_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2007589Z test_comprehensive_nn_functional_pixel_unshuffle_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2007748Z test_comprehensive_nn_functional_pixel_unshuffle_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2007914Z test_comprehensive_nn_functional_pixel_unshuffle_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2008075Z test_comprehensive_nn_functional_pixel_unshuffle_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2008244Z test_comprehensive_nn_functional_poisson_nll_loss_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (1.110s) 2022-11-23T01:37:01.2008400Z test_comprehensive_nn_functional_poisson_nll_loss_cpu_float32 (__main__.TestDecompCPU) ... ok (9.542s) 2022-11-23T01:37:01.2008568Z test_comprehensive_nn_functional_poisson_nll_loss_cpu_float64 (__main__.TestDecompCPU) ... ok (9.326s) 2022-11-23T01:37:01.2008736Z test_comprehensive_nn_functional_poisson_nll_loss_cpu_int16 (__main__.TestDecompCPU) ... ok (3.184s) 2022-11-23T01:37:01.2008904Z test_comprehensive_nn_functional_poisson_nll_loss_cpu_int32 (__main__.TestDecompCPU) ... ok (3.185s) 2022-11-23T01:37:01.2009068Z test_comprehensive_nn_functional_poisson_nll_loss_cpu_int64 (__main__.TestDecompCPU) ... ok (3.193s) 2022-11-23T01:37:01.2009236Z test_comprehensive_nn_functional_poisson_nll_loss_cpu_int8 (__main__.TestDecompCPU) ... ok (3.191s) 2022-11-23T01:37:01.2009400Z test_comprehensive_nn_functional_poisson_nll_loss_cpu_uint8 (__main__.TestDecompCPU) ... ok (3.175s) 2022-11-23T01:37:01.2009560Z test_comprehensive_nn_functional_prelu_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2009715Z test_comprehensive_nn_functional_prelu_cpu_float32 (__main__.TestDecompCPU) ... ok (0.584s) 2022-11-23T01:37:01.2009859Z test_comprehensive_nn_functional_prelu_cpu_float64 (__main__.TestDecompCPU) ... ok (0.574s) 2022-11-23T01:37:01.2010085Z test_comprehensive_nn_functional_relu6_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: nn.functional.relu6 in torch.bfloat16 not supported (0.001s) 2022-11-23T01:37:01.2010307Z test_comprehensive_nn_functional_relu6_cpu_float32 (__main__.TestDecompCPU) ... skip: nn.functional.relu6 in torch.float32 not supported (0.001s) 2022-11-23T01:37:01.2010547Z test_comprehensive_nn_functional_relu6_cpu_float64 (__main__.TestDecompCPU) ... skip: nn.functional.relu6 in torch.float64 not supported (0.001s) 2022-11-23T01:37:01.2010757Z test_comprehensive_nn_functional_relu6_cpu_int16 (__main__.TestDecompCPU) ... skip: nn.functional.relu6 in torch.int16 not supported (0.001s) 2022-11-23T01:37:01.2010969Z test_comprehensive_nn_functional_relu6_cpu_int32 (__main__.TestDecompCPU) ... skip: nn.functional.relu6 in torch.int32 not supported (0.001s) 2022-11-23T01:37:01.2011179Z test_comprehensive_nn_functional_relu6_cpu_int64 (__main__.TestDecompCPU) ... skip: nn.functional.relu6 in torch.int64 not supported (0.001s) 2022-11-23T01:37:01.2011392Z test_comprehensive_nn_functional_relu6_cpu_int8 (__main__.TestDecompCPU) ... skip: nn.functional.relu6 in torch.int8 not supported (0.001s) 2022-11-23T01:37:01.2011631Z test_comprehensive_nn_functional_relu6_cpu_uint8 (__main__.TestDecompCPU) ... skip: nn.functional.relu6 in torch.uint8 not supported (0.001s) 2022-11-23T01:37:01.2011789Z test_comprehensive_nn_functional_relu_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2011934Z test_comprehensive_nn_functional_relu_cpu_float32 (__main__.TestDecompCPU) ... ok (0.055s) 2022-11-23T01:37:01.2012089Z test_comprehensive_nn_functional_relu_cpu_float64 (__main__.TestDecompCPU) ... ok (0.054s) 2022-11-23T01:37:01.2012240Z test_comprehensive_nn_functional_relu_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2012394Z test_comprehensive_nn_functional_relu_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2012542Z test_comprehensive_nn_functional_relu_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2012696Z test_comprehensive_nn_functional_relu_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2012846Z test_comprehensive_nn_functional_relu_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2013004Z test_comprehensive_nn_functional_rrelu_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2013161Z test_comprehensive_nn_functional_rrelu_cpu_float32 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2013303Z test_comprehensive_nn_functional_rrelu_cpu_float64 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2013454Z test_comprehensive_nn_functional_selu_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2013608Z test_comprehensive_nn_functional_selu_cpu_float32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2013762Z test_comprehensive_nn_functional_selu_cpu_float64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2013932Z test_comprehensive_nn_functional_silu_complex_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2014102Z test_comprehensive_nn_functional_silu_complex_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2014256Z test_comprehensive_nn_functional_silu_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2014409Z test_comprehensive_nn_functional_silu_cpu_float32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2014547Z test_comprehensive_nn_functional_silu_cpu_float64 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2014712Z test_comprehensive_nn_functional_smooth_l1_loss_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2014876Z test_comprehensive_nn_functional_smooth_l1_loss_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2015042Z test_comprehensive_nn_functional_smooth_l1_loss_cpu_float32 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2015206Z test_comprehensive_nn_functional_smooth_l1_loss_cpu_float64 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2015380Z test_comprehensive_nn_functional_soft_margin_loss_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2015549Z test_comprehensive_nn_functional_soft_margin_loss_cpu_float32 (__main__.TestDecompCPU) ... ok (0.073s) 2022-11-23T01:37:01.2015745Z test_comprehensive_nn_functional_soft_margin_loss_cpu_float64 (__main__.TestDecompCPU) ... ok (0.070s) 2022-11-23T01:37:01.2015912Z test_comprehensive_nn_functional_softmin_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.2016058Z test_comprehensive_nn_functional_softmin_cpu_float32 (__main__.TestDecompCPU) ... ok (0.131s) 2022-11-23T01:37:01.2016216Z test_comprehensive_nn_functional_softmin_cpu_float64 (__main__.TestDecompCPU) ... ok (0.127s) 2022-11-23T01:37:01.2016390Z test_comprehensive_nn_functional_softmin_with_dtype_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2016567Z test_comprehensive_nn_functional_softmin_with_dtype_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.223s) 2022-11-23T01:37:01.2016769Z test_comprehensive_nn_functional_softmin_with_dtype_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.225s) 2022-11-23T01:37:01.2016941Z test_comprehensive_nn_functional_softmin_with_dtype_cpu_float16 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2017114Z test_comprehensive_nn_functional_softmin_with_dtype_cpu_float32 (__main__.TestDecompCPU) ... ok (0.180s) 2022-11-23T01:37:01.2017279Z test_comprehensive_nn_functional_softmin_with_dtype_cpu_float64 (__main__.TestDecompCPU) ... ok (0.127s) 2022-11-23T01:37:01.2017448Z test_comprehensive_nn_functional_softmin_with_dtype_cpu_int16 (__main__.TestDecompCPU) ... ok (0.070s) 2022-11-23T01:37:01.2017605Z test_comprehensive_nn_functional_softmin_with_dtype_cpu_int32 (__main__.TestDecompCPU) ... ok (0.070s) 2022-11-23T01:37:01.2017771Z test_comprehensive_nn_functional_softmin_with_dtype_cpu_int64 (__main__.TestDecompCPU) ... ok (0.069s) 2022-11-23T01:37:01.2017942Z test_comprehensive_nn_functional_softmin_with_dtype_cpu_int8 (__main__.TestDecompCPU) ... ok (0.070s) 2022-11-23T01:37:01.2018107Z test_comprehensive_nn_functional_softmin_with_dtype_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.070s) 2022-11-23T01:37:01.2018276Z test_comprehensive_nn_functional_softplus_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2018437Z test_comprehensive_nn_functional_softplus_cpu_float32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2018596Z test_comprehensive_nn_functional_softplus_cpu_float64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2018910Z test_comprehensive_nn_functional_softshrink_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2019075Z test_comprehensive_nn_functional_softshrink_cpu_float32 (__main__.TestDecompCPU) ... ok (0.032s) 2022-11-23T01:37:01.2019222Z test_comprehensive_nn_functional_softshrink_cpu_float64 (__main__.TestDecompCPU) ... ok (0.031s) 2022-11-23T01:37:01.2019387Z test_comprehensive_nn_functional_softsign_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2019554Z test_comprehensive_nn_functional_softsign_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.108s) 2022-11-23T01:37:01.2019716Z test_comprehensive_nn_functional_softsign_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.114s) 2022-11-23T01:37:01.2019880Z test_comprehensive_nn_functional_softsign_cpu_float16 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.2020039Z test_comprehensive_nn_functional_softsign_cpu_float32 (__main__.TestDecompCPU) ... ok (0.071s) 2022-11-23T01:37:01.2020202Z test_comprehensive_nn_functional_softsign_cpu_float64 (__main__.TestDecompCPU) ... ok (0.068s) 2022-11-23T01:37:01.2020362Z test_comprehensive_nn_functional_softsign_cpu_int16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2020522Z test_comprehensive_nn_functional_softsign_cpu_int32 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2020668Z test_comprehensive_nn_functional_softsign_cpu_int64 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2020826Z test_comprehensive_nn_functional_softsign_cpu_int8 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2020981Z test_comprehensive_nn_functional_softsign_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2021205Z test_comprehensive_nn_functional_tanhshrink_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2021375Z test_comprehensive_nn_functional_tanhshrink_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2021542Z test_comprehensive_nn_functional_tanhshrink_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.055s) 2022-11-23T01:37:01.2021705Z test_comprehensive_nn_functional_tanhshrink_cpu_float32 (__main__.TestDecompCPU) ... ok (0.033s) 2022-11-23T01:37:01.2021862Z test_comprehensive_nn_functional_tanhshrink_cpu_float64 (__main__.TestDecompCPU) ... ok (0.031s) 2022-11-23T01:37:01.2022057Z test_comprehensive_nn_functional_tanhshrink_cpu_int16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2022204Z test_comprehensive_nn_functional_tanhshrink_cpu_int32 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2022363Z test_comprehensive_nn_functional_tanhshrink_cpu_int64 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2022524Z test_comprehensive_nn_functional_tanhshrink_cpu_int8 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2022683Z test_comprehensive_nn_functional_tanhshrink_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2022850Z test_comprehensive_nn_functional_threshold_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2023013Z test_comprehensive_nn_functional_threshold_cpu_float32 (__main__.TestDecompCPU) ... ok (0.042s) 2022-11-23T01:37:01.2023175Z test_comprehensive_nn_functional_threshold_cpu_float64 (__main__.TestDecompCPU) ... ok (0.040s) 2022-11-23T01:37:01.2023337Z test_comprehensive_nn_functional_threshold_cpu_int16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2023482Z test_comprehensive_nn_functional_threshold_cpu_int32 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2023642Z test_comprehensive_nn_functional_threshold_cpu_int64 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2023803Z test_comprehensive_nn_functional_threshold_cpu_int8 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2023959Z test_comprehensive_nn_functional_threshold_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2024135Z test_comprehensive_nn_functional_triplet_margin_loss_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.145s) 2022-11-23T01:37:01.2024313Z test_comprehensive_nn_functional_triplet_margin_loss_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.017s) 2022-11-23T01:37:01.2024489Z test_comprehensive_nn_functional_triplet_margin_loss_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.068s) 2022-11-23T01:37:01.2024663Z test_comprehensive_nn_functional_triplet_margin_loss_cpu_float32 (__main__.TestDecompCPU) ... ok (0.692s) 2022-11-23T01:37:01.2024835Z test_comprehensive_nn_functional_triplet_margin_loss_cpu_float64 (__main__.TestDecompCPU) ... ok (0.667s) 2022-11-23T01:37:01.2024993Z test_comprehensive_nn_functional_triplet_margin_loss_cpu_int16 (__main__.TestDecompCPU) ... ok (0.219s) 2022-11-23T01:37:01.2025163Z test_comprehensive_nn_functional_triplet_margin_loss_cpu_int32 (__main__.TestDecompCPU) ... ok (0.219s) 2022-11-23T01:37:01.2025331Z test_comprehensive_nn_functional_triplet_margin_loss_cpu_int64 (__main__.TestDecompCPU) ... ok (0.217s) 2022-11-23T01:37:01.2025501Z test_comprehensive_nn_functional_triplet_margin_loss_cpu_int8 (__main__.TestDecompCPU) ... ok (0.219s) 2022-11-23T01:37:01.2025669Z test_comprehensive_nn_functional_triplet_margin_loss_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.219s) 2022-11-23T01:37:01.2025860Z test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.148s) 2022-11-23T01:37:01.2026052Z test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.020s) 2022-11-23T01:37:01.2026242Z test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.066s) 2022-11-23T01:37:01.2026469Z test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cpu_float32 (__main__.TestDecompCPU) ... ok (0.699s) 2022-11-23T01:37:01.2026659Z test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cpu_float64 (__main__.TestDecompCPU) ... ok (0.706s) 2022-11-23T01:37:01.2026832Z test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cpu_int16 (__main__.TestDecompCPU) ... ok (0.218s) 2022-11-23T01:37:01.2027016Z test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cpu_int32 (__main__.TestDecompCPU) ... ok (0.218s) 2022-11-23T01:37:01.2027198Z test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cpu_int64 (__main__.TestDecompCPU) ... ok (0.216s) 2022-11-23T01:37:01.2027410Z test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cpu_int8 (__main__.TestDecompCPU) ... ok (0.217s) 2022-11-23T01:37:01.2027595Z test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.257s) 2022-11-23T01:37:01.2027756Z test_comprehensive_nn_functional_unfold_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (1.010s) 2022-11-23T01:37:01.2027920Z test_comprehensive_nn_functional_unfold_cpu_complex128 (__main__.TestDecompCPU) ... ok (10.635s) 2022-11-23T01:37:01.2028143Z test_comprehensive_nn_functional_unfold_cpu_complex64 (__main__.TestDecompCPU) ... ok (10.745s) 2022-11-23T01:37:01.2028306Z test_comprehensive_nn_functional_unfold_cpu_float16 (__main__.TestDecompCPU) ... ok (1.114s) 2022-11-23T01:37:01.2028451Z test_comprehensive_nn_functional_unfold_cpu_float32 (__main__.TestDecompCPU) ... ok (6.105s) 2022-11-23T01:37:01.2028612Z test_comprehensive_nn_functional_unfold_cpu_float64 (__main__.TestDecompCPU) ... ok (5.986s) 2022-11-23T01:37:01.2028791Z test_comprehensive_nn_functional_upsample_bilinear_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.130s) 2022-11-23T01:37:01.2028970Z test_comprehensive_nn_functional_upsample_bilinear_cpu_float32 (__main__.TestDecompCPU) ... ok (1.234s) 2022-11-23T01:37:01.2029144Z test_comprehensive_nn_functional_upsample_bilinear_cpu_float64 (__main__.TestDecompCPU) ... ok (1.365s) 2022-11-23T01:37:01.2029316Z test_comprehensive_nn_functional_upsample_nearest_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2029488Z test_comprehensive_nn_functional_upsample_nearest_cpu_float32 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2029660Z test_comprehensive_nn_functional_upsample_nearest_cpu_float64 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2029831Z test_comprehensive_nn_functional_upsample_nearest_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2029967Z test_comprehensive_nonzero_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.028s) 2022-11-23T01:37:01.2030111Z test_comprehensive_nonzero_cpu_bool (__main__.TestDecompCPU) ... ok (0.033s) 2022-11-23T01:37:01.2030261Z test_comprehensive_nonzero_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.059s) 2022-11-23T01:37:01.2030412Z test_comprehensive_nonzero_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.065s) 2022-11-23T01:37:01.2030554Z test_comprehensive_nonzero_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.064s) 2022-11-23T01:37:01.2030699Z test_comprehensive_nonzero_cpu_float16 (__main__.TestDecompCPU) ... ok (0.028s) 2022-11-23T01:37:01.2030842Z test_comprehensive_nonzero_cpu_float32 (__main__.TestDecompCPU) ... ok (0.053s) 2022-11-23T01:37:01.2030984Z test_comprehensive_nonzero_cpu_float64 (__main__.TestDecompCPU) ... ok (0.062s) 2022-11-23T01:37:01.2031113Z test_comprehensive_nonzero_cpu_int16 (__main__.TestDecompCPU) ... ok (0.050s) 2022-11-23T01:37:01.2031257Z test_comprehensive_nonzero_cpu_int32 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2031397Z test_comprehensive_nonzero_cpu_int64 (__main__.TestDecompCPU) ... ok (0.051s) 2022-11-23T01:37:01.2031539Z test_comprehensive_nonzero_cpu_int8 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2031709Z test_comprehensive_nonzero_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2031901Z test_comprehensive_norm_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: norm in torch.bfloat16 not supported (0.001s) 2022-11-23T01:37:01.2032094Z test_comprehensive_norm_cpu_complex128 (__main__.TestDecompCPU) ... skip: norm in torch.complex128 not supported (0.001s) 2022-11-23T01:37:01.2032285Z test_comprehensive_norm_cpu_complex64 (__main__.TestDecompCPU) ... skip: norm in torch.complex64 not supported (0.001s) 2022-11-23T01:37:01.2032469Z test_comprehensive_norm_cpu_float16 (__main__.TestDecompCPU) ... skip: norm in torch.float16 not supported (0.001s) 2022-11-23T01:37:01.2032663Z test_comprehensive_norm_cpu_float32 (__main__.TestDecompCPU) ... skip: norm in torch.float32 not supported (0.001s) 2022-11-23T01:37:01.2032839Z test_comprehensive_norm_cpu_float64 (__main__.TestDecompCPU) ... skip: norm in torch.float64 not supported (0.001s) 2022-11-23T01:37:01.2033031Z test_comprehensive_norm_fro_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: norm in torch.bfloat16 not supported (0.001s) 2022-11-23T01:37:01.2033228Z test_comprehensive_norm_fro_cpu_complex128 (__main__.TestDecompCPU) ... skip: norm in torch.complex128 not supported (0.001s) 2022-11-23T01:37:01.2033420Z test_comprehensive_norm_fro_cpu_complex64 (__main__.TestDecompCPU) ... skip: norm in torch.complex64 not supported (0.001s) 2022-11-23T01:37:01.2033604Z test_comprehensive_norm_fro_cpu_float16 (__main__.TestDecompCPU) ... skip: norm in torch.float16 not supported (0.001s) 2022-11-23T01:37:01.2033789Z test_comprehensive_norm_fro_cpu_float32 (__main__.TestDecompCPU) ... skip: norm in torch.float32 not supported (0.001s) 2022-11-23T01:37:01.2033974Z test_comprehensive_norm_fro_cpu_float64 (__main__.TestDecompCPU) ... skip: norm in torch.float64 not supported (0.001s) 2022-11-23T01:37:01.2034161Z test_comprehensive_norm_inf_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: norm in torch.bfloat16 not supported (0.001s) 2022-11-23T01:37:01.2034358Z test_comprehensive_norm_inf_cpu_complex128 (__main__.TestDecompCPU) ... skip: norm in torch.complex128 not supported (0.001s) 2022-11-23T01:37:01.2034538Z test_comprehensive_norm_inf_cpu_complex64 (__main__.TestDecompCPU) ... skip: norm in torch.complex64 not supported (0.001s) 2022-11-23T01:37:01.2034720Z test_comprehensive_norm_inf_cpu_float16 (__main__.TestDecompCPU) ... skip: norm in torch.float16 not supported (0.001s) 2022-11-23T01:37:01.2034903Z test_comprehensive_norm_inf_cpu_float32 (__main__.TestDecompCPU) ... skip: norm in torch.float32 not supported (0.001s) 2022-11-23T01:37:01.2035087Z test_comprehensive_norm_inf_cpu_float64 (__main__.TestDecompCPU) ... skip: norm in torch.float64 not supported (0.001s) 2022-11-23T01:37:01.2035277Z test_comprehensive_norm_nuc_cpu_complex128 (__main__.TestDecompCPU) ... skip: norm in torch.complex128 not supported (0.001s) 2022-11-23T01:37:01.2035468Z test_comprehensive_norm_nuc_cpu_complex64 (__main__.TestDecompCPU) ... skip: norm in torch.complex64 not supported (0.001s) 2022-11-23T01:37:01.2035648Z test_comprehensive_norm_nuc_cpu_float32 (__main__.TestDecompCPU) ... skip: norm in torch.float32 not supported (0.001s) 2022-11-23T01:37:01.2035830Z test_comprehensive_norm_nuc_cpu_float64 (__main__.TestDecompCPU) ... skip: norm in torch.float64 not supported (0.001s) 2022-11-23T01:37:01.2035973Z test_comprehensive_normal_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2036104Z test_comprehensive_normal_cpu_float16 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2036248Z test_comprehensive_normal_cpu_float32 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2036392Z test_comprehensive_normal_cpu_float64 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2036550Z test_comprehensive_normal_number_mean_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2036707Z test_comprehensive_normal_number_mean_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2036888Z test_comprehensive_normal_number_mean_cpu_float32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2037039Z test_comprehensive_normal_number_mean_cpu_float64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2037180Z test_comprehensive_ones_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2037318Z test_comprehensive_ones_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2037450Z test_comprehensive_ones_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2037591Z test_comprehensive_ones_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2037760Z test_comprehensive_ones_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2037900Z test_comprehensive_ones_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2038041Z test_comprehensive_ones_cpu_float32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2038181Z test_comprehensive_ones_cpu_float64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2038318Z test_comprehensive_ones_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2038455Z test_comprehensive_ones_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2038578Z test_comprehensive_ones_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2038715Z test_comprehensive_ones_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2038849Z test_comprehensive_ones_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2039000Z test_comprehensive_ones_like_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2039141Z test_comprehensive_ones_like_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2039290Z test_comprehensive_ones_like_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2039441Z test_comprehensive_ones_like_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2039583Z test_comprehensive_ones_like_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2039715Z test_comprehensive_ones_like_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2039856Z test_comprehensive_ones_like_cpu_float32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2040011Z test_comprehensive_ones_like_cpu_float64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2040212Z test_comprehensive_ones_like_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2040407Z test_comprehensive_ones_like_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2040600Z test_comprehensive_ones_like_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2040741Z test_comprehensive_ones_like_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2040885Z test_comprehensive_ones_like_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2041021Z test_comprehensive_ormqr_cpu_complex128 (__main__.TestDecompCPU) ... ok (32.238s) 2022-11-23T01:37:01.2041167Z test_comprehensive_ormqr_cpu_complex64 (__main__.TestDecompCPU) ... ok (37.175s) 2022-11-23T01:37:01.2041308Z test_comprehensive_ormqr_cpu_float32 (__main__.TestDecompCPU) ... ok (17.419s) 2022-11-23T01:37:01.2041448Z test_comprehensive_ormqr_cpu_float64 (__main__.TestDecompCPU) ... ok (16.623s) 2022-11-23T01:37:01.2041590Z test_comprehensive_outer_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2041728Z test_comprehensive_outer_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2041875Z test_comprehensive_outer_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.054s) 2022-11-23T01:37:01.2042018Z test_comprehensive_outer_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.056s) 2022-11-23T01:37:01.2042146Z test_comprehensive_outer_cpu_float16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2042323Z test_comprehensive_outer_cpu_float32 (__main__.TestDecompCPU) ... ok (0.028s) 2022-11-23T01:37:01.2042465Z test_comprehensive_outer_cpu_float64 (__main__.TestDecompCPU) ... ok (0.027s) 2022-11-23T01:37:01.2042602Z test_comprehensive_outer_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2042742Z test_comprehensive_outer_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2042876Z test_comprehensive_outer_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2043013Z test_comprehensive_outer_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2043175Z test_comprehensive_outer_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2043333Z test_comprehensive_pca_lowrank_cpu_float32 (__main__.TestDecompCPU) ... expected failure (0.881s) 2022-11-23T01:37:01.2043493Z test_comprehensive_pca_lowrank_cpu_float64 (__main__.TestDecompCPU) ... expected failure (0.839s) 2022-11-23T01:37:01.2043645Z test_comprehensive_permute_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2043787Z test_comprehensive_permute_cpu_bool (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2043937Z test_comprehensive_permute_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.036s) 2022-11-23T01:37:01.2044083Z test_comprehensive_permute_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.2044225Z test_comprehensive_permute_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.038s) 2022-11-23T01:37:01.2044370Z test_comprehensive_permute_cpu_float16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2044515Z test_comprehensive_permute_cpu_float32 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.2044646Z test_comprehensive_permute_cpu_float64 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.2044788Z test_comprehensive_permute_cpu_int16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2044930Z test_comprehensive_permute_cpu_int32 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2045072Z test_comprehensive_permute_cpu_int64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2045213Z test_comprehensive_permute_cpu_int8 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2045352Z test_comprehensive_permute_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2045502Z test_comprehensive_pinverse_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.868s) 2022-11-23T01:37:01.2045650Z test_comprehensive_pinverse_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.891s) 2022-11-23T01:37:01.2045786Z test_comprehensive_pinverse_cpu_float32 (__main__.TestDecompCPU) ... ok (0.531s) 2022-11-23T01:37:01.2045927Z test_comprehensive_pinverse_cpu_float64 (__main__.TestDecompCPU) ... ok (0.516s) 2022-11-23T01:37:01.2046066Z test_comprehensive_polar_cpu_float32 (__main__.TestDecompCPU) ... ok (1.553s) 2022-11-23T01:37:01.2046240Z test_comprehensive_polar_cpu_float64 (__main__.TestDecompCPU) ... ok (1.539s) 2022-11-23T01:37:01.2046465Z test_comprehensive_polygamma_polygamma_n_0_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2046629Z test_comprehensive_polygamma_polygamma_n_0_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2046794Z test_comprehensive_polygamma_polygamma_n_0_cpu_float32 (__main__.TestDecompCPU) ... ok (0.041s) 2022-11-23T01:37:01.2046959Z test_comprehensive_polygamma_polygamma_n_0_cpu_float64 (__main__.TestDecompCPU) ... ok (0.040s) 2022-11-23T01:37:01.2047107Z test_comprehensive_polygamma_polygamma_n_0_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2047270Z test_comprehensive_polygamma_polygamma_n_0_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2047428Z test_comprehensive_polygamma_polygamma_n_0_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2047618Z test_comprehensive_polygamma_polygamma_n_0_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2047777Z test_comprehensive_polygamma_polygamma_n_0_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2047941Z test_comprehensive_polygamma_polygamma_n_1_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2048098Z test_comprehensive_polygamma_polygamma_n_1_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2048261Z test_comprehensive_polygamma_polygamma_n_1_cpu_float32 (__main__.TestDecompCPU) ... ok (0.041s) 2022-11-23T01:37:01.2048419Z test_comprehensive_polygamma_polygamma_n_1_cpu_float64 (__main__.TestDecompCPU) ... ok (0.039s) 2022-11-23T01:37:01.2048593Z test_comprehensive_polygamma_polygamma_n_1_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2048750Z test_comprehensive_polygamma_polygamma_n_1_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2048910Z test_comprehensive_polygamma_polygamma_n_1_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2049067Z test_comprehensive_polygamma_polygamma_n_1_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2049224Z test_comprehensive_polygamma_polygamma_n_1_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2049386Z test_comprehensive_polygamma_polygamma_n_2_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2049545Z test_comprehensive_polygamma_polygamma_n_2_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2049706Z test_comprehensive_polygamma_polygamma_n_2_cpu_float32 (__main__.TestDecompCPU) ... ok (0.041s) 2022-11-23T01:37:01.2049867Z test_comprehensive_polygamma_polygamma_n_2_cpu_float64 (__main__.TestDecompCPU) ... ok (0.039s) 2022-11-23T01:37:01.2050010Z test_comprehensive_polygamma_polygamma_n_2_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2050167Z test_comprehensive_polygamma_polygamma_n_2_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2050325Z test_comprehensive_polygamma_polygamma_n_2_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2050482Z test_comprehensive_polygamma_polygamma_n_2_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2050636Z test_comprehensive_polygamma_polygamma_n_2_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2050802Z test_comprehensive_polygamma_polygamma_n_3_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2050959Z test_comprehensive_polygamma_polygamma_n_3_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2051123Z test_comprehensive_polygamma_polygamma_n_3_cpu_float32 (__main__.TestDecompCPU) ... ok (0.041s) 2022-11-23T01:37:01.2051269Z test_comprehensive_polygamma_polygamma_n_3_cpu_float64 (__main__.TestDecompCPU) ... ok (0.039s) 2022-11-23T01:37:01.2051423Z test_comprehensive_polygamma_polygamma_n_3_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2051582Z test_comprehensive_polygamma_polygamma_n_3_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2051738Z test_comprehensive_polygamma_polygamma_n_3_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2051894Z test_comprehensive_polygamma_polygamma_n_3_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2052049Z test_comprehensive_polygamma_polygamma_n_3_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2052209Z test_comprehensive_polygamma_polygamma_n_4_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2052367Z test_comprehensive_polygamma_polygamma_n_4_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2052527Z test_comprehensive_polygamma_polygamma_n_4_cpu_float32 (__main__.TestDecompCPU) ... ok (0.041s) 2022-11-23T01:37:01.2052673Z test_comprehensive_polygamma_polygamma_n_4_cpu_float64 (__main__.TestDecompCPU) ... ok (0.040s) 2022-11-23T01:37:01.2052861Z test_comprehensive_polygamma_polygamma_n_4_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2053083Z test_comprehensive_polygamma_polygamma_n_4_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2053244Z test_comprehensive_polygamma_polygamma_n_4_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2053400Z test_comprehensive_polygamma_polygamma_n_4_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2053556Z test_comprehensive_polygamma_polygamma_n_4_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2053705Z test_comprehensive_positive_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2053885Z test_comprehensive_positive_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2054035Z test_comprehensive_positive_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2054169Z test_comprehensive_positive_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2054314Z test_comprehensive_positive_cpu_float16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2054456Z test_comprehensive_positive_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2054594Z test_comprehensive_positive_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2054736Z test_comprehensive_positive_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2054880Z test_comprehensive_positive_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2055022Z test_comprehensive_positive_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2055166Z test_comprehensive_positive_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2055294Z test_comprehensive_positive_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2055435Z test_comprehensive_pow_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.171s) 2022-11-23T01:37:01.2055577Z test_comprehensive_pow_cpu_complex128 (__main__.TestDecompCPU) ... ok (2.961s) 2022-11-23T01:37:01.2055721Z test_comprehensive_pow_cpu_complex64 (__main__.TestDecompCPU) ... ok (2.995s) 2022-11-23T01:37:01.2055859Z test_comprehensive_pow_cpu_float16 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2055996Z test_comprehensive_pow_cpu_float32 (__main__.TestDecompCPU) ... ok (1.482s) 2022-11-23T01:37:01.2056134Z test_comprehensive_pow_cpu_float64 (__main__.TestDecompCPU) ... ok (1.469s) 2022-11-23T01:37:01.2056270Z test_comprehensive_pow_cpu_int16 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2056396Z test_comprehensive_pow_cpu_int32 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2056528Z test_comprehensive_pow_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2056662Z test_comprehensive_pow_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2056797Z test_comprehensive_pow_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2056939Z test_comprehensive_prod_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.185s) 2022-11-23T01:37:01.2057076Z test_comprehensive_prod_cpu_bool (__main__.TestDecompCPU) ... ok (0.129s) 2022-11-23T01:37:01.2057221Z test_comprehensive_prod_cpu_complex128 (__main__.TestDecompCPU) ... ok (3.472s) 2022-11-23T01:37:01.2057363Z test_comprehensive_prod_cpu_complex64 (__main__.TestDecompCPU) ... ok (3.538s) 2022-11-23T01:37:01.2057490Z test_comprehensive_prod_cpu_float32 (__main__.TestDecompCPU) ... ok (1.891s) 2022-11-23T01:37:01.2057631Z test_comprehensive_prod_cpu_float64 (__main__.TestDecompCPU) ... ok (1.900s) 2022-11-23T01:37:01.2057771Z test_comprehensive_prod_cpu_int16 (__main__.TestDecompCPU) ... ok (0.131s) 2022-11-23T01:37:01.2057908Z test_comprehensive_prod_cpu_int32 (__main__.TestDecompCPU) ... ok (0.130s) 2022-11-23T01:37:01.2058044Z test_comprehensive_prod_cpu_int64 (__main__.TestDecompCPU) ... ok (0.126s) 2022-11-23T01:37:01.2058222Z test_comprehensive_prod_cpu_int8 (__main__.TestDecompCPU) ... ok (0.130s) 2022-11-23T01:37:01.2058357Z test_comprehensive_prod_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.130s) 2022-11-23T01:37:01.2058499Z test_comprehensive_put_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.024s) 2022-11-23T01:37:01.2058622Z test_comprehensive_put_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2058884Z test_comprehensive_put_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.064s) 2022-11-23T01:37:01.2059031Z test_comprehensive_put_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.067s) 2022-11-23T01:37:01.2059220Z test_comprehensive_put_cpu_float16 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.2059358Z test_comprehensive_put_cpu_float32 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.2059493Z test_comprehensive_put_cpu_float64 (__main__.TestDecompCPU) ... ok (0.045s) 2022-11-23T01:37:01.2059629Z test_comprehensive_put_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2059764Z test_comprehensive_put_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2059883Z test_comprehensive_put_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2060017Z test_comprehensive_put_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2060150Z test_comprehensive_put_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2060294Z test_comprehensive_qr_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.522s) 2022-11-23T01:37:01.2060436Z test_comprehensive_qr_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.593s) 2022-11-23T01:37:01.2060576Z test_comprehensive_qr_cpu_float32 (__main__.TestDecompCPU) ... ok (1.038s) 2022-11-23T01:37:01.2060717Z test_comprehensive_qr_cpu_float64 (__main__.TestDecompCPU) ... ok (0.993s) 2022-11-23T01:37:01.2060863Z test_comprehensive_quantile_cpu_float32 (__main__.TestDecompCPU) ... ok (3.354s) 2022-11-23T01:37:01.2060995Z test_comprehensive_quantile_cpu_float64 (__main__.TestDecompCPU) ... ok (3.250s) 2022-11-23T01:37:01.2061136Z test_comprehensive_rad2deg_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2061277Z test_comprehensive_rad2deg_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2061422Z test_comprehensive_rad2deg_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2061567Z test_comprehensive_rad2deg_cpu_float32 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2061709Z test_comprehensive_rad2deg_cpu_float64 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2061852Z test_comprehensive_rad2deg_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2061993Z test_comprehensive_rad2deg_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2062120Z test_comprehensive_rad2deg_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2062262Z test_comprehensive_rad2deg_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2062400Z test_comprehensive_rad2deg_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2062548Z test_comprehensive_rand_like_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2062697Z test_comprehensive_rand_like_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2062845Z test_comprehensive_rand_like_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2062987Z test_comprehensive_rand_like_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2063133Z test_comprehensive_rand_like_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2063277Z test_comprehensive_rand_like_cpu_float32 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2063402Z test_comprehensive_rand_like_cpu_float64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2063645Z test_comprehensive_randint_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2063863Z test_comprehensive_randint_cpu_float16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2064048Z test_comprehensive_randint_cpu_float32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2064219Z test_comprehensive_randint_cpu_float64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2064361Z test_comprehensive_randint_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2064501Z test_comprehensive_randint_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2064643Z test_comprehensive_randint_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2064806Z test_comprehensive_randint_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2064947Z test_comprehensive_randint_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2065098Z test_comprehensive_randint_like_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2065249Z test_comprehensive_randint_like_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2065399Z test_comprehensive_randint_like_cpu_float32 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2065548Z test_comprehensive_randint_like_cpu_float64 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2065694Z test_comprehensive_randint_like_cpu_int16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2065838Z test_comprehensive_randint_like_cpu_int32 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2065966Z test_comprehensive_randint_like_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2066110Z test_comprehensive_randint_like_cpu_int8 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2066250Z test_comprehensive_randint_like_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2066415Z test_comprehensive_randn_cpu_bfloat16 (__main__.TestDecompCPU) ... expected failure (0.002s) 2022-11-23T01:37:01.2066583Z test_comprehensive_randn_cpu_complex128 (__main__.TestDecompCPU) ... expected failure (0.003s) 2022-11-23T01:37:01.2066748Z test_comprehensive_randn_cpu_complex32 (__main__.TestDecompCPU) ... expected failure (0.002s) 2022-11-23T01:37:01.2066910Z test_comprehensive_randn_cpu_complex64 (__main__.TestDecompCPU) ... expected failure (0.002s) 2022-11-23T01:37:01.2067069Z test_comprehensive_randn_cpu_float16 (__main__.TestDecompCPU) ... expected failure (0.002s) 2022-11-23T01:37:01.2067213Z test_comprehensive_randn_cpu_float32 (__main__.TestDecompCPU) ... expected failure (0.002s) 2022-11-23T01:37:01.2067369Z test_comprehensive_randn_cpu_float64 (__main__.TestDecompCPU) ... expected failure (0.002s) 2022-11-23T01:37:01.2067516Z test_comprehensive_randn_like_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2067666Z test_comprehensive_randn_like_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2067818Z test_comprehensive_randn_like_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2067967Z test_comprehensive_randn_like_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2068186Z test_comprehensive_randn_like_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2068334Z test_comprehensive_randn_like_cpu_float32 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2068475Z test_comprehensive_randn_like_cpu_float64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2068605Z test_comprehensive_ravel_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2068746Z test_comprehensive_ravel_cpu_bool (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2068895Z test_comprehensive_ravel_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.076s) 2022-11-23T01:37:01.2069040Z test_comprehensive_ravel_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2069212Z test_comprehensive_ravel_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.077s) 2022-11-23T01:37:01.2069356Z test_comprehensive_ravel_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2069496Z test_comprehensive_ravel_cpu_float32 (__main__.TestDecompCPU) ... ok (0.043s) 2022-11-23T01:37:01.2069636Z test_comprehensive_ravel_cpu_float64 (__main__.TestDecompCPU) ... ok (0.042s) 2022-11-23T01:37:01.2069762Z test_comprehensive_ravel_cpu_int16 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2069900Z test_comprehensive_ravel_cpu_int32 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2070065Z test_comprehensive_ravel_cpu_int64 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2070204Z test_comprehensive_ravel_cpu_int8 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2070339Z test_comprehensive_ravel_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2070478Z test_comprehensive_real_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2070616Z test_comprehensive_real_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2070759Z test_comprehensive_real_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2070890Z test_comprehensive_real_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2071033Z test_comprehensive_real_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2071173Z test_comprehensive_real_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2071314Z test_comprehensive_real_cpu_float32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2071455Z test_comprehensive_real_cpu_float64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2071591Z test_comprehensive_real_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2071727Z test_comprehensive_real_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2071862Z test_comprehensive_real_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2071985Z test_comprehensive_real_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2072118Z test_comprehensive_real_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2072268Z test_comprehensive_reciprocal_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2072413Z test_comprehensive_reciprocal_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2072566Z test_comprehensive_reciprocal_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2072718Z test_comprehensive_reciprocal_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.050s) 2022-11-23T01:37:01.2072866Z test_comprehensive_reciprocal_cpu_float16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2073016Z test_comprehensive_reciprocal_cpu_float32 (__main__.TestDecompCPU) ... ok (0.025s) 2022-11-23T01:37:01.2073147Z test_comprehensive_reciprocal_cpu_float64 (__main__.TestDecompCPU) ... ok (0.024s) 2022-11-23T01:37:01.2073294Z test_comprehensive_reciprocal_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2073438Z test_comprehensive_reciprocal_cpu_int32 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2073576Z test_comprehensive_reciprocal_cpu_int64 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2073722Z test_comprehensive_reciprocal_cpu_int8 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2073865Z test_comprehensive_reciprocal_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2074015Z test_comprehensive_remainder_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.072s) 2022-11-23T01:37:01.2074162Z test_comprehensive_remainder_cpu_float16 (__main__.TestDecompCPU) ... ok (0.069s) 2022-11-23T01:37:01.2074304Z test_comprehensive_remainder_cpu_float32 (__main__.TestDecompCPU) ... ok (0.631s) 2022-11-23T01:37:01.2074460Z test_comprehensive_remainder_cpu_float64 (__main__.TestDecompCPU) ... ok (0.625s) 2022-11-23T01:37:01.2074604Z test_comprehensive_remainder_cpu_int16 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2074748Z test_comprehensive_remainder_cpu_int32 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2074893Z test_comprehensive_remainder_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2075037Z test_comprehensive_remainder_cpu_int8 (__main__.TestDecompCPU) ... ok (0.050s) 2022-11-23T01:37:01.2075179Z test_comprehensive_remainder_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2075320Z test_comprehensive_renorm_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.2075506Z test_comprehensive_renorm_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.810s) 2022-11-23T01:37:01.2075637Z test_comprehensive_renorm_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.847s) 2022-11-23T01:37:01.2075814Z test_comprehensive_renorm_cpu_float16 (__main__.TestDecompCPU) ... skip: Inconsistent accuracy (0.000s) 2022-11-23T01:37:01.2075956Z test_comprehensive_renorm_cpu_float32 (__main__.TestDecompCPU) ... ok (0.515s) 2022-11-23T01:37:01.2076102Z test_comprehensive_renorm_cpu_float64 (__main__.TestDecompCPU) ... ok (0.479s) 2022-11-23T01:37:01.2076245Z test_comprehensive_repeat_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.039s) 2022-11-23T01:37:01.2076384Z test_comprehensive_repeat_cpu_bool (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.2076530Z test_comprehensive_repeat_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.158s) 2022-11-23T01:37:01.2076675Z test_comprehensive_repeat_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.164s) 2022-11-23T01:37:01.2076806Z test_comprehensive_repeat_cpu_float16 (__main__.TestDecompCPU) ... ok (0.041s) 2022-11-23T01:37:01.2076950Z test_comprehensive_repeat_cpu_float32 (__main__.TestDecompCPU) ... ok (0.107s) 2022-11-23T01:37:01.2077091Z test_comprehensive_repeat_cpu_float64 (__main__.TestDecompCPU) ... ok (0.102s) 2022-11-23T01:37:01.2077235Z test_comprehensive_repeat_cpu_int16 (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.2077375Z test_comprehensive_repeat_cpu_int32 (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.2077512Z test_comprehensive_repeat_cpu_int64 (__main__.TestDecompCPU) ... ok (0.027s) 2022-11-23T01:37:01.2077650Z test_comprehensive_repeat_cpu_int8 (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.2077787Z test_comprehensive_repeat_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.2077932Z test_comprehensive_repeat_interleave_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2078088Z test_comprehensive_repeat_interleave_cpu_bool (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2078248Z test_comprehensive_repeat_interleave_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.086s) 2022-11-23T01:37:01.2078407Z test_comprehensive_repeat_interleave_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.032s) 2022-11-23T01:37:01.2078569Z test_comprehensive_repeat_interleave_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.089s) 2022-11-23T01:37:01.2078723Z test_comprehensive_repeat_interleave_cpu_float16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2078881Z test_comprehensive_repeat_interleave_cpu_float32 (__main__.TestDecompCPU) ... ok (0.056s) 2022-11-23T01:37:01.2079032Z test_comprehensive_repeat_interleave_cpu_float64 (__main__.TestDecompCPU) ... ok (0.054s) 2022-11-23T01:37:01.2079185Z test_comprehensive_repeat_interleave_cpu_int16 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2079327Z test_comprehensive_repeat_interleave_cpu_int32 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2079479Z test_comprehensive_repeat_interleave_cpu_int64 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2079633Z test_comprehensive_repeat_interleave_cpu_int8 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2079810Z test_comprehensive_repeat_interleave_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2079961Z test_comprehensive_reshape_as_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2080105Z test_comprehensive_reshape_as_cpu_bool (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2080256Z test_comprehensive_reshape_as_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.069s) 2022-11-23T01:37:01.2080406Z test_comprehensive_reshape_as_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.036s) 2022-11-23T01:37:01.2080545Z test_comprehensive_reshape_as_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.071s) 2022-11-23T01:37:01.2080724Z test_comprehensive_reshape_as_cpu_float16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2080868Z test_comprehensive_reshape_as_cpu_float32 (__main__.TestDecompCPU) ... ok (0.040s) 2022-11-23T01:37:01.2081010Z test_comprehensive_reshape_as_cpu_float64 (__main__.TestDecompCPU) ... ok (0.039s) 2022-11-23T01:37:01.2081159Z test_comprehensive_reshape_as_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2081304Z test_comprehensive_reshape_as_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2081446Z test_comprehensive_reshape_as_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2081588Z test_comprehensive_reshape_as_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2081721Z test_comprehensive_reshape_as_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2081864Z test_comprehensive_reshape_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2082010Z test_comprehensive_reshape_cpu_bool (__main__.TestDecompCPU) ... ok (0.028s) 2022-11-23T01:37:01.2082158Z test_comprehensive_reshape_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.155s) 2022-11-23T01:37:01.2082304Z test_comprehensive_reshape_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.080s) 2022-11-23T01:37:01.2082450Z test_comprehensive_reshape_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.157s) 2022-11-23T01:37:01.2082591Z test_comprehensive_reshape_cpu_float16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2082736Z test_comprehensive_reshape_cpu_float32 (__main__.TestDecompCPU) ... ok (0.088s) 2022-11-23T01:37:01.2082878Z test_comprehensive_reshape_cpu_float64 (__main__.TestDecompCPU) ... ok (0.086s) 2022-11-23T01:37:01.2083008Z test_comprehensive_reshape_cpu_int16 (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.2083150Z test_comprehensive_reshape_cpu_int32 (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.2083292Z test_comprehensive_reshape_cpu_int64 (__main__.TestDecompCPU) ... ok (0.028s) 2022-11-23T01:37:01.2083433Z test_comprehensive_reshape_cpu_int8 (__main__.TestDecompCPU) ... ok (0.028s) 2022-11-23T01:37:01.2083574Z test_comprehensive_reshape_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.028s) 2022-11-23T01:37:01.2083720Z test_comprehensive_resize__cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2083858Z test_comprehensive_resize__cpu_bool (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2084004Z test_comprehensive_resize__cpu_complex128 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2084137Z test_comprehensive_resize__cpu_complex64 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2084277Z test_comprehensive_resize__cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2084416Z test_comprehensive_resize__cpu_float32 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2084557Z test_comprehensive_resize__cpu_float64 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2084696Z test_comprehensive_resize__cpu_int16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2084833Z test_comprehensive_resize__cpu_int32 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2084972Z test_comprehensive_resize__cpu_int64 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2085140Z test_comprehensive_resize__cpu_int8 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2085265Z test_comprehensive_resize__cpu_uint8 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2085411Z test_comprehensive_resize_as__cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2085551Z test_comprehensive_resize_as__cpu_bool (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2085701Z test_comprehensive_resize_as__cpu_complex128 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2085851Z test_comprehensive_resize_as__cpu_complex64 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2086022Z test_comprehensive_resize_as__cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2086163Z test_comprehensive_resize_as__cpu_float32 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2086301Z test_comprehensive_resize_as__cpu_float64 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2086432Z test_comprehensive_resize_as__cpu_int16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2086569Z test_comprehensive_resize_as__cpu_int32 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2086705Z test_comprehensive_resize_as__cpu_int64 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2086845Z test_comprehensive_resize_as__cpu_int8 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2086989Z test_comprehensive_resize_as__cpu_uint8 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2087137Z test_comprehensive_resolve_conj_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2087284Z test_comprehensive_resolve_conj_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2087435Z test_comprehensive_resolve_conj_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2087576Z test_comprehensive_resolve_conj_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2087727Z test_comprehensive_resolve_conj_cpu_float16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2087873Z test_comprehensive_resolve_conj_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2088021Z test_comprehensive_resolve_conj_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2088167Z test_comprehensive_resolve_conj_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2088309Z test_comprehensive_resolve_conj_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2088449Z test_comprehensive_resolve_conj_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2088595Z test_comprehensive_resolve_conj_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2088736Z test_comprehensive_resolve_conj_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2088871Z test_comprehensive_resolve_neg_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2089017Z test_comprehensive_resolve_neg_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2089168Z test_comprehensive_resolve_neg_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2089320Z test_comprehensive_resolve_neg_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2089469Z test_comprehensive_resolve_neg_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2089615Z test_comprehensive_resolve_neg_cpu_float16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2089758Z test_comprehensive_resolve_neg_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2089901Z test_comprehensive_resolve_neg_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2090034Z test_comprehensive_resolve_neg_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2090176Z test_comprehensive_resolve_neg_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2090340Z test_comprehensive_resolve_neg_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2090486Z test_comprehensive_resolve_neg_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2090628Z test_comprehensive_resolve_neg_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2090768Z test_comprehensive_roll_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2090906Z test_comprehensive_roll_cpu_bool (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2091050Z test_comprehensive_roll_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.249s) 2022-11-23T01:37:01.2091210Z test_comprehensive_roll_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.126s) 2022-11-23T01:37:01.2091354Z test_comprehensive_roll_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.257s) 2022-11-23T01:37:01.2091494Z test_comprehensive_roll_cpu_float16 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2091636Z test_comprehensive_roll_cpu_float32 (__main__.TestDecompCPU) ... ok (0.145s) 2022-11-23T01:37:01.2091777Z test_comprehensive_roll_cpu_float64 (__main__.TestDecompCPU) ... ok (0.143s) 2022-11-23T01:37:01.2091914Z test_comprehensive_roll_cpu_int16 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2092053Z test_comprehensive_roll_cpu_int32 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2092187Z test_comprehensive_roll_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2092311Z test_comprehensive_roll_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2092445Z test_comprehensive_roll_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2092586Z test_comprehensive_rot90_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.046s) 2022-11-23T01:37:01.2092725Z test_comprehensive_rot90_cpu_bool (__main__.TestDecompCPU) ... ok (0.179s) 2022-11-23T01:37:01.2092873Z test_comprehensive_rot90_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.992s) 2022-11-23T01:37:01.2093015Z test_comprehensive_rot90_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.001s) 2022-11-23T01:37:01.2093154Z test_comprehensive_rot90_cpu_float16 (__main__.TestDecompCPU) ... ok (0.046s) 2022-11-23T01:37:01.2093296Z test_comprehensive_rot90_cpu_float32 (__main__.TestDecompCPU) ... ok (0.561s) 2022-11-23T01:37:01.2093422Z test_comprehensive_rot90_cpu_float64 (__main__.TestDecompCPU) ... ok (0.553s) 2022-11-23T01:37:01.2093562Z test_comprehensive_rot90_cpu_int16 (__main__.TestDecompCPU) ... ok (0.181s) 2022-11-23T01:37:01.2093699Z test_comprehensive_rot90_cpu_int32 (__main__.TestDecompCPU) ... ok (0.181s) 2022-11-23T01:37:01.2093836Z test_comprehensive_rot90_cpu_int64 (__main__.TestDecompCPU) ... ok (0.179s) 2022-11-23T01:37:01.2093971Z test_comprehensive_rot90_cpu_int8 (__main__.TestDecompCPU) ... ok (0.180s) 2022-11-23T01:37:01.2094104Z test_comprehensive_rot90_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.180s) 2022-11-23T01:37:01.2094248Z test_comprehensive_round_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2094386Z test_comprehensive_round_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2094528Z test_comprehensive_round_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2094711Z test_comprehensive_round_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2094889Z test_comprehensive_round_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2095024Z test_comprehensive_round_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2095166Z test_comprehensive_round_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2095301Z test_comprehensive_round_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2095456Z test_comprehensive_round_decimals_0_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2095659Z test_comprehensive_round_decimals_0_cpu_float32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2095814Z test_comprehensive_round_decimals_0_cpu_float64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2095956Z test_comprehensive_round_decimals_3_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2096104Z test_comprehensive_round_decimals_3_cpu_float32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2096252Z test_comprehensive_round_decimals_3_cpu_float64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2096412Z test_comprehensive_round_decimals_neg_3_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2096600Z test_comprehensive_round_decimals_neg_3_cpu_float32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2096757Z test_comprehensive_round_decimals_neg_3_cpu_float64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2096902Z test_comprehensive_rsqrt_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2097043Z test_comprehensive_rsqrt_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2097176Z test_comprehensive_rsqrt_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.043s) 2022-11-23T01:37:01.2097318Z test_comprehensive_rsqrt_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.2097459Z test_comprehensive_rsqrt_cpu_float32 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.2097601Z test_comprehensive_rsqrt_cpu_float64 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.2097738Z test_comprehensive_rsqrt_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2097877Z test_comprehensive_rsqrt_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2098012Z test_comprehensive_rsqrt_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2098150Z test_comprehensive_rsqrt_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2098273Z test_comprehensive_rsqrt_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2098413Z test_comprehensive_rsub_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.024s) 2022-11-23T01:37:01.2098555Z test_comprehensive_rsub_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.626s) 2022-11-23T01:37:01.2098698Z test_comprehensive_rsub_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.643s) 2022-11-23T01:37:01.2098955Z test_comprehensive_rsub_cpu_float16 (__main__.TestDecompCPU) ... ok (0.026s) 2022-11-23T01:37:01.2099095Z test_comprehensive_rsub_cpu_float32 (__main__.TestDecompCPU) ... ok (0.348s) 2022-11-23T01:37:01.2099234Z test_comprehensive_rsub_cpu_float64 (__main__.TestDecompCPU) ... ok (0.345s) 2022-11-23T01:37:01.2099374Z test_comprehensive_rsub_cpu_int16 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2099498Z test_comprehensive_rsub_cpu_int32 (__main__.TestDecompCPU) ... ok (0.053s) 2022-11-23T01:37:01.2099632Z test_comprehensive_rsub_cpu_int64 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2099770Z test_comprehensive_rsub_cpu_int8 (__main__.TestDecompCPU) ... ok (0.053s) 2022-11-23T01:37:01.2099901Z test_comprehensive_rsub_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2100053Z test_comprehensive_scalar_tensor_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2100201Z test_comprehensive_scalar_tensor_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2100356Z test_comprehensive_scalar_tensor_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2100509Z test_comprehensive_scalar_tensor_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2100663Z test_comprehensive_scalar_tensor_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2100799Z test_comprehensive_scalar_tensor_cpu_float16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2100949Z test_comprehensive_scalar_tensor_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2101146Z test_comprehensive_scalar_tensor_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2101294Z test_comprehensive_scalar_tensor_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2101439Z test_comprehensive_scalar_tensor_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2101581Z test_comprehensive_scalar_tensor_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2101728Z test_comprehensive_scalar_tensor_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2101870Z test_comprehensive_scalar_tensor_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2102041Z test_comprehensive_scatter_add_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2102190Z test_comprehensive_scatter_add_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2102345Z test_comprehensive_scatter_add_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2102495Z test_comprehensive_scatter_add_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2102642Z test_comprehensive_scatter_add_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2102784Z test_comprehensive_scatter_add_cpu_float32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2102925Z test_comprehensive_scatter_add_cpu_float64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2103072Z test_comprehensive_scatter_add_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2103201Z test_comprehensive_scatter_add_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2103341Z test_comprehensive_scatter_add_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2103486Z test_comprehensive_scatter_add_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2103627Z test_comprehensive_scatter_add_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2103771Z test_comprehensive_scatter_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2103912Z test_comprehensive_scatter_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2104061Z test_comprehensive_scatter_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2104206Z test_comprehensive_scatter_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2104350Z test_comprehensive_scatter_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2104479Z test_comprehensive_scatter_cpu_float32 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2104623Z test_comprehensive_scatter_cpu_float64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2104763Z test_comprehensive_scatter_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2104903Z test_comprehensive_scatter_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2105043Z test_comprehensive_scatter_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2105185Z test_comprehensive_scatter_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2105385Z test_comprehensive_scatter_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2105608Z test_comprehensive_scatter_reduce_amax_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.345s) 2022-11-23T01:37:01.2105754Z test_comprehensive_scatter_reduce_amax_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2105913Z test_comprehensive_scatter_reduce_amax_cpu_float16 (__main__.TestDecompCPU) ... ok (0.371s) 2022-11-23T01:37:01.2106071Z test_comprehensive_scatter_reduce_amax_cpu_float32 (__main__.TestDecompCPU) ... ok (0.931s) 2022-11-23T01:37:01.2106221Z test_comprehensive_scatter_reduce_amax_cpu_float64 (__main__.TestDecompCPU) ... ok (0.909s) 2022-11-23T01:37:01.2106409Z test_comprehensive_scatter_reduce_amax_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2106564Z test_comprehensive_scatter_reduce_amax_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2106714Z test_comprehensive_scatter_reduce_amax_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2106867Z test_comprehensive_scatter_reduce_amax_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2107002Z test_comprehensive_scatter_reduce_amax_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2107161Z test_comprehensive_scatter_reduce_amin_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.346s) 2022-11-23T01:37:01.2107364Z test_comprehensive_scatter_reduce_amin_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2107522Z test_comprehensive_scatter_reduce_amin_cpu_float16 (__main__.TestDecompCPU) ... ok (0.369s) 2022-11-23T01:37:01.2107677Z test_comprehensive_scatter_reduce_amin_cpu_float32 (__main__.TestDecompCPU) ... ok (0.933s) 2022-11-23T01:37:01.2107833Z test_comprehensive_scatter_reduce_amin_cpu_float64 (__main__.TestDecompCPU) ... ok (0.911s) 2022-11-23T01:37:01.2107986Z test_comprehensive_scatter_reduce_amin_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2108195Z test_comprehensive_scatter_reduce_amin_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2108344Z test_comprehensive_scatter_reduce_amin_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2108486Z test_comprehensive_scatter_reduce_amin_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2108634Z test_comprehensive_scatter_reduce_amin_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2108796Z test_comprehensive_scatter_reduce_mean_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.097s) 2022-11-23T01:37:01.2108951Z test_comprehensive_scatter_reduce_mean_cpu_float16 (__main__.TestDecompCPU) ... ok (0.105s) 2022-11-23T01:37:01.2109108Z test_comprehensive_scatter_reduce_mean_cpu_float32 (__main__.TestDecompCPU) ... ok (0.389s) 2022-11-23T01:37:01.2109258Z test_comprehensive_scatter_reduce_mean_cpu_float64 (__main__.TestDecompCPU) ... ok (0.376s) 2022-11-23T01:37:01.2109411Z test_comprehensive_scatter_reduce_mean_cpu_int16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2109564Z test_comprehensive_scatter_reduce_mean_cpu_int32 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2109699Z test_comprehensive_scatter_reduce_mean_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2109851Z test_comprehensive_scatter_reduce_mean_cpu_int8 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2110001Z test_comprehensive_scatter_reduce_mean_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2110159Z test_comprehensive_scatter_reduce_prod_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.324s) 2022-11-23T01:37:01.2110312Z test_comprehensive_scatter_reduce_prod_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2110471Z test_comprehensive_scatter_reduce_prod_cpu_float16 (__main__.TestDecompCPU) ... ok (0.343s) 2022-11-23T01:37:01.2110626Z test_comprehensive_scatter_reduce_prod_cpu_float32 (__main__.TestDecompCPU) ... ok (1.414s) 2022-11-23T01:37:01.2110779Z test_comprehensive_scatter_reduce_prod_cpu_float64 (__main__.TestDecompCPU) ... ok (1.379s) 2022-11-23T01:37:01.2110928Z test_comprehensive_scatter_reduce_prod_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2111069Z test_comprehensive_scatter_reduce_prod_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2111219Z test_comprehensive_scatter_reduce_prod_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2111370Z test_comprehensive_scatter_reduce_prod_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2111519Z test_comprehensive_scatter_reduce_prod_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2111701Z test_comprehensive_scatter_reduce_sum_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2111855Z test_comprehensive_scatter_reduce_sum_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2112009Z test_comprehensive_scatter_reduce_sum_cpu_float16 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2112164Z test_comprehensive_scatter_reduce_sum_cpu_float32 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2112314Z test_comprehensive_scatter_reduce_sum_cpu_float64 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2112453Z test_comprehensive_scatter_reduce_sum_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2112632Z test_comprehensive_scatter_reduce_sum_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2112781Z test_comprehensive_scatter_reduce_sum_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2112931Z test_comprehensive_scatter_reduce_sum_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2113081Z test_comprehensive_scatter_reduce_sum_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2113235Z test_comprehensive_searchsorted_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2113387Z test_comprehensive_searchsorted_cpu_float16 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2113537Z test_comprehensive_searchsorted_cpu_float32 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2113675Z test_comprehensive_searchsorted_cpu_float64 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2113823Z test_comprehensive_searchsorted_cpu_int16 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2113969Z test_comprehensive_searchsorted_cpu_int32 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2114111Z test_comprehensive_searchsorted_cpu_int64 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2114260Z test_comprehensive_searchsorted_cpu_int8 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2114403Z test_comprehensive_searchsorted_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2114568Z test_comprehensive_segment_reduce_lengths_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.054s) 2022-11-23T01:37:01.2114731Z test_comprehensive_segment_reduce_lengths_cpu_float16 (__main__.TestDecompCPU) ... ok (0.054s) 2022-11-23T01:37:01.2114880Z test_comprehensive_segment_reduce_lengths_cpu_float32 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2115038Z test_comprehensive_segment_reduce_lengths_cpu_float64 (__main__.TestDecompCPU) ... ok (0.046s) 2022-11-23T01:37:01.2115201Z test_comprehensive_segment_reduce_offsets_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.050s) 2022-11-23T01:37:01.2115359Z test_comprehensive_segment_reduce_offsets_cpu_float16 (__main__.TestDecompCPU) ... ok (0.051s) 2022-11-23T01:37:01.2115519Z test_comprehensive_segment_reduce_offsets_cpu_float32 (__main__.TestDecompCPU) ... ok (0.044s) 2022-11-23T01:37:01.2115675Z test_comprehensive_segment_reduce_offsets_cpu_float64 (__main__.TestDecompCPU) ... ok (0.043s) 2022-11-23T01:37:01.2115820Z test_comprehensive_select_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2115962Z test_comprehensive_select_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2116108Z test_comprehensive_select_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.025s) 2022-11-23T01:37:01.2116240Z test_comprehensive_select_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2116380Z test_comprehensive_select_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.025s) 2022-11-23T01:37:01.2116527Z test_comprehensive_select_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2116669Z test_comprehensive_select_cpu_float32 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.2116811Z test_comprehensive_select_cpu_float64 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2116975Z test_comprehensive_select_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2117115Z test_comprehensive_select_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2117254Z test_comprehensive_select_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2117377Z test_comprehensive_select_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2117512Z test_comprehensive_select_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2117664Z test_comprehensive_select_scatter_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2117842Z test_comprehensive_select_scatter_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2117994Z test_comprehensive_select_scatter_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2118146Z test_comprehensive_select_scatter_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2118297Z test_comprehensive_select_scatter_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2118446Z test_comprehensive_select_scatter_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2118581Z test_comprehensive_select_scatter_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2118729Z test_comprehensive_select_scatter_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2118877Z test_comprehensive_select_scatter_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2119021Z test_comprehensive_select_scatter_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2119164Z test_comprehensive_sgn_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2119300Z test_comprehensive_sgn_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2119442Z test_comprehensive_sgn_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.446s) 2022-11-23T01:37:01.2119585Z test_comprehensive_sgn_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.041s) 2022-11-23T01:37:01.2119726Z test_comprehensive_sgn_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.453s) 2022-11-23T01:37:01.2119852Z test_comprehensive_sgn_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2119989Z test_comprehensive_sgn_cpu_float32 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.2120125Z test_comprehensive_sgn_cpu_float64 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2120262Z test_comprehensive_sgn_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2120399Z test_comprehensive_sgn_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2120531Z test_comprehensive_sgn_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2120666Z test_comprehensive_sgn_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2120797Z test_comprehensive_sgn_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2120930Z test_comprehensive_short_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2121067Z test_comprehensive_short_cpu_bool (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2121211Z test_comprehensive_short_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.2121355Z test_comprehensive_short_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.2121495Z test_comprehensive_short_cpu_float16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2121636Z test_comprehensive_short_cpu_float32 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2121776Z test_comprehensive_short_cpu_float64 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2121918Z test_comprehensive_short_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2122042Z test_comprehensive_short_cpu_int32 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2122202Z test_comprehensive_short_cpu_int64 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2122342Z test_comprehensive_short_cpu_int8 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2122477Z test_comprehensive_short_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2122624Z test_comprehensive_sigmoid_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2122764Z test_comprehensive_sigmoid_cpu_bool (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2122913Z test_comprehensive_sigmoid_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.2123088Z test_comprehensive_sigmoid_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.024s) 2022-11-23T01:37:01.2123219Z test_comprehensive_sigmoid_cpu_float32 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2123361Z test_comprehensive_sigmoid_cpu_float64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2123502Z test_comprehensive_sigmoid_cpu_int16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2123643Z test_comprehensive_sigmoid_cpu_int32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2123781Z test_comprehensive_sigmoid_cpu_int64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2123920Z test_comprehensive_sigmoid_cpu_int8 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2124058Z test_comprehensive_sigmoid_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2124193Z test_comprehensive_sign_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2124317Z test_comprehensive_sign_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2124458Z test_comprehensive_sign_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2124595Z test_comprehensive_sign_cpu_float32 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.2124736Z test_comprehensive_sign_cpu_float64 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.2124873Z test_comprehensive_sign_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2125009Z test_comprehensive_sign_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2125142Z test_comprehensive_sign_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2125279Z test_comprehensive_sign_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2125398Z test_comprehensive_sign_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2125559Z test_comprehensive_signal_windows_cosine_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2125741Z test_comprehensive_signal_windows_cosine_cpu_float16 (__main__.TestDecompCPU) ... expected failure (0.010s) 2022-11-23T01:37:01.2125902Z test_comprehensive_signal_windows_cosine_cpu_float32 (__main__.TestDecompCPU) ... ok (0.025s) 2022-11-23T01:37:01.2126063Z test_comprehensive_signal_windows_cosine_cpu_float64 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.2126235Z test_comprehensive_signal_windows_exponential_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.2126422Z test_comprehensive_signal_windows_exponential_cpu_float16 (__main__.TestDecompCPU) ... expected failure (0.011s) 2022-11-23T01:37:01.2126589Z test_comprehensive_signal_windows_exponential_cpu_float32 (__main__.TestDecompCPU) ... ok (0.054s) 2022-11-23T01:37:01.2126751Z test_comprehensive_signal_windows_exponential_cpu_float64 (__main__.TestDecompCPU) ... ok (0.050s) 2022-11-23T01:37:01.2126903Z test_comprehensive_signal_windows_gaussian_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.2127086Z test_comprehensive_signal_windows_gaussian_cpu_float16 (__main__.TestDecompCPU) ... expected failure (0.011s) 2022-11-23T01:37:01.2127248Z test_comprehensive_signal_windows_gaussian_cpu_float32 (__main__.TestDecompCPU) ... ok (0.054s) 2022-11-23T01:37:01.2127437Z test_comprehensive_signal_windows_gaussian_cpu_float64 (__main__.TestDecompCPU) ... ok (0.050s) 2022-11-23T01:37:01.2127600Z test_comprehensive_signal_windows_kaiser_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.026s) 2022-11-23T01:37:01.2127774Z test_comprehensive_signal_windows_kaiser_cpu_float16 (__main__.TestDecompCPU) ... expected failure (0.012s) 2022-11-23T01:37:01.2127932Z test_comprehensive_signal_windows_kaiser_cpu_float32 (__main__.TestDecompCPU) ... ok (0.078s) 2022-11-23T01:37:01.2128087Z test_comprehensive_signal_windows_kaiser_cpu_float64 (__main__.TestDecompCPU) ... ok (0.075s) 2022-11-23T01:37:01.2128233Z test_comprehensive_signbit_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2128389Z test_comprehensive_signbit_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2128533Z test_comprehensive_signbit_cpu_float16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2128676Z test_comprehensive_signbit_cpu_float32 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2128823Z test_comprehensive_signbit_cpu_float64 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2128965Z test_comprehensive_signbit_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2129105Z test_comprehensive_signbit_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2129244Z test_comprehensive_signbit_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2129384Z test_comprehensive_signbit_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2129511Z test_comprehensive_signbit_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2129652Z test_comprehensive_sin_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2129788Z test_comprehensive_sin_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2129931Z test_comprehensive_sin_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.195s) 2022-11-23T01:37:01.2130077Z test_comprehensive_sin_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.199s) 2022-11-23T01:37:01.2130215Z test_comprehensive_sin_cpu_float32 (__main__.TestDecompCPU) ... ok (0.083s) 2022-11-23T01:37:01.2130353Z test_comprehensive_sin_cpu_float64 (__main__.TestDecompCPU) ... ok (0.080s) 2022-11-23T01:37:01.2130488Z test_comprehensive_sin_cpu_int16 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2130611Z test_comprehensive_sin_cpu_int32 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2130742Z test_comprehensive_sin_cpu_int64 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2130876Z test_comprehensive_sin_cpu_int8 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2131010Z test_comprehensive_sin_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2131150Z test_comprehensive_sinc_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.025s) 2022-11-23T01:37:01.2131285Z test_comprehensive_sinc_cpu_bool (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2131431Z test_comprehensive_sinc_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.125s) 2022-11-23T01:37:01.2131575Z test_comprehensive_sinc_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.131s) 2022-11-23T01:37:01.2131701Z test_comprehensive_sinc_cpu_float32 (__main__.TestDecompCPU) ... ok (0.075s) 2022-11-23T01:37:01.2131840Z test_comprehensive_sinc_cpu_float64 (__main__.TestDecompCPU) ... ok (0.072s) 2022-11-23T01:37:01.2131977Z test_comprehensive_sinc_cpu_int16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2132112Z test_comprehensive_sinc_cpu_int32 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2132246Z test_comprehensive_sinc_cpu_int64 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2132380Z test_comprehensive_sinc_cpu_int8 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2132514Z test_comprehensive_sinc_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2132697Z test_comprehensive_sinh_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2132820Z test_comprehensive_sinh_cpu_bool (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2132963Z test_comprehensive_sinh_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.195s) 2022-11-23T01:37:01.2133105Z test_comprehensive_sinh_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.199s) 2022-11-23T01:37:01.2133243Z test_comprehensive_sinh_cpu_float32 (__main__.TestDecompCPU) ... ok (0.083s) 2022-11-23T01:37:01.2133381Z test_comprehensive_sinh_cpu_float64 (__main__.TestDecompCPU) ... ok (0.082s) 2022-11-23T01:37:01.2133517Z test_comprehensive_sinh_cpu_int16 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2133679Z test_comprehensive_sinh_cpu_int32 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2133811Z test_comprehensive_sinh_cpu_int64 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2133932Z test_comprehensive_sinh_cpu_int8 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2134065Z test_comprehensive_sinh_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2134207Z test_comprehensive_slice_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2134344Z test_comprehensive_slice_cpu_bool (__main__.TestDecompCPU) ... ok (0.043s) 2022-11-23T01:37:01.2134491Z test_comprehensive_slice_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.195s) 2022-11-23T01:37:01.2134633Z test_comprehensive_slice_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.104s) 2022-11-23T01:37:01.2134775Z test_comprehensive_slice_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.193s) 2022-11-23T01:37:01.2134919Z test_comprehensive_slice_cpu_float16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2135045Z test_comprehensive_slice_cpu_float32 (__main__.TestDecompCPU) ... ok (0.105s) 2022-11-23T01:37:01.2135185Z test_comprehensive_slice_cpu_float64 (__main__.TestDecompCPU) ... ok (0.106s) 2022-11-23T01:37:01.2135325Z test_comprehensive_slice_cpu_int16 (__main__.TestDecompCPU) ... ok (0.044s) 2022-11-23T01:37:01.2135461Z test_comprehensive_slice_cpu_int32 (__main__.TestDecompCPU) ... ok (0.043s) 2022-11-23T01:37:01.2135596Z test_comprehensive_slice_cpu_int64 (__main__.TestDecompCPU) ... ok (0.053s) 2022-11-23T01:37:01.2135733Z test_comprehensive_slice_cpu_int8 (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.2135868Z test_comprehensive_slice_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.2136020Z test_comprehensive_slice_scatter_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2136155Z test_comprehensive_slice_scatter_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2136307Z test_comprehensive_slice_scatter_cpu_float16 (__main__.TestDecompCPU) ... ok (0.024s) 2022-11-23T01:37:01.2136456Z test_comprehensive_slice_scatter_cpu_float32 (__main__.TestDecompCPU) ... ok (0.231s) 2022-11-23T01:37:01.2136603Z test_comprehensive_slice_scatter_cpu_float64 (__main__.TestDecompCPU) ... ok (0.231s) 2022-11-23T01:37:01.2136753Z test_comprehensive_slice_scatter_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2136897Z test_comprehensive_slice_scatter_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2137038Z test_comprehensive_slice_scatter_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2137185Z test_comprehensive_slice_scatter_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2137314Z test_comprehensive_slice_scatter_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2137458Z test_comprehensive_softmax_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2137603Z test_comprehensive_softmax_cpu_float32 (__main__.TestDecompCPU) ... ok (0.106s) 2022-11-23T01:37:01.2137745Z test_comprehensive_softmax_cpu_float64 (__main__.TestDecompCPU) ... ok (0.104s) 2022-11-23T01:37:01.2137931Z test_comprehensive_softmax_with_dtype_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.2138085Z test_comprehensive_softmax_with_dtype_cpu_bool (__main__.TestDecompCPU) ... ok (0.058s) 2022-11-23T01:37:01.2138246Z test_comprehensive_softmax_with_dtype_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.203s) 2022-11-23T01:37:01.2138406Z test_comprehensive_softmax_with_dtype_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.207s) 2022-11-23T01:37:01.2138561Z test_comprehensive_softmax_with_dtype_cpu_float16 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.2138702Z test_comprehensive_softmax_with_dtype_cpu_float32 (__main__.TestDecompCPU) ... ok (0.176s) 2022-11-23T01:37:01.2139000Z test_comprehensive_softmax_with_dtype_cpu_float64 (__main__.TestDecompCPU) ... ok (0.104s) 2022-11-23T01:37:01.2139153Z test_comprehensive_softmax_with_dtype_cpu_int16 (__main__.TestDecompCPU) ... ok (0.074s) 2022-11-23T01:37:01.2139306Z test_comprehensive_softmax_with_dtype_cpu_int32 (__main__.TestDecompCPU) ... ok (0.074s) 2022-11-23T01:37:01.2139457Z test_comprehensive_softmax_with_dtype_cpu_int64 (__main__.TestDecompCPU) ... ok (0.074s) 2022-11-23T01:37:01.2139607Z test_comprehensive_softmax_with_dtype_cpu_int8 (__main__.TestDecompCPU) ... ok (0.074s) 2022-11-23T01:37:01.2139761Z test_comprehensive_softmax_with_dtype_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.074s) 2022-11-23T01:37:01.2139903Z test_comprehensive_sort_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.061s) 2022-11-23T01:37:01.2140028Z test_comprehensive_sort_cpu_bool (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2140167Z test_comprehensive_sort_cpu_float16 (__main__.TestDecompCPU) ... ok (0.062s) 2022-11-23T01:37:01.2140309Z test_comprehensive_sort_cpu_float32 (__main__.TestDecompCPU) ... ok (0.071s) 2022-11-23T01:37:01.2140451Z test_comprehensive_sort_cpu_float64 (__main__.TestDecompCPU) ... ok (0.067s) 2022-11-23T01:37:01.2140591Z test_comprehensive_sort_cpu_int16 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2140732Z test_comprehensive_sort_cpu_int32 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2140866Z test_comprehensive_sort_cpu_int64 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2141003Z test_comprehensive_sort_cpu_int8 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2141124Z test_comprehensive_sort_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2141292Z test_comprehensive_sparse_sampled_addmm_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.092s) 2022-11-23T01:37:01.2141455Z test_comprehensive_sparse_sampled_addmm_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.093s) 2022-11-23T01:37:01.2141621Z test_comprehensive_sparse_sampled_addmm_cpu_float32 (__main__.TestDecompCPU) ... ok (0.071s) 2022-11-23T01:37:01.2141783Z test_comprehensive_sparse_sampled_addmm_cpu_float64 (__main__.TestDecompCPU) ... ok (0.068s) 2022-11-23T01:37:01.2141936Z test_comprehensive_special_airy_ai_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2142091Z test_comprehensive_special_airy_ai_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2142241Z test_comprehensive_special_airy_ai_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2142392Z test_comprehensive_special_airy_ai_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2142528Z test_comprehensive_special_airy_ai_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2142676Z test_comprehensive_special_airy_ai_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2142825Z test_comprehensive_special_airy_ai_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2142977Z test_comprehensive_special_airy_ai_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2143129Z test_comprehensive_special_bessel_j0_cpu_bool (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2143284Z test_comprehensive_special_bessel_j0_cpu_float32 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2143486Z test_comprehensive_special_bessel_j0_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2143637Z test_comprehensive_special_bessel_j0_cpu_int16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2143772Z test_comprehensive_special_bessel_j0_cpu_int32 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2143920Z test_comprehensive_special_bessel_j0_cpu_int64 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2144069Z test_comprehensive_special_bessel_j0_cpu_int8 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2144217Z test_comprehensive_special_bessel_j0_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2144411Z test_comprehensive_special_bessel_j1_cpu_bool (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2144564Z test_comprehensive_special_bessel_j1_cpu_float32 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2144719Z test_comprehensive_special_bessel_j1_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2144867Z test_comprehensive_special_bessel_j1_cpu_int16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2145015Z test_comprehensive_special_bessel_j1_cpu_int32 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2145148Z test_comprehensive_special_bessel_j1_cpu_int64 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2145297Z test_comprehensive_special_bessel_j1_cpu_int8 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2145443Z test_comprehensive_special_bessel_j1_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2145598Z test_comprehensive_special_bessel_y0_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2145754Z test_comprehensive_special_bessel_y0_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2145907Z test_comprehensive_special_bessel_y0_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2146054Z test_comprehensive_special_bessel_y0_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2146206Z test_comprehensive_special_bessel_y0_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2146338Z test_comprehensive_special_bessel_y0_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2146484Z test_comprehensive_special_bessel_y0_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2146630Z test_comprehensive_special_bessel_y0_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2146780Z test_comprehensive_special_bessel_y1_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2146991Z test_comprehensive_special_bessel_y1_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2147174Z test_comprehensive_special_bessel_y1_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2147323Z test_comprehensive_special_bessel_y1_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2147473Z test_comprehensive_special_bessel_y1_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2147616Z test_comprehensive_special_bessel_y1_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2147751Z test_comprehensive_special_bessel_y1_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2147893Z test_comprehensive_special_bessel_y1_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2148118Z test_comprehensive_special_chebyshev_polynomial_t_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2148301Z test_comprehensive_special_chebyshev_polynomial_t_cpu_float32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2148477Z test_comprehensive_special_chebyshev_polynomial_t_cpu_float64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2148647Z test_comprehensive_special_chebyshev_polynomial_t_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2148851Z test_comprehensive_special_chebyshev_polynomial_t_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2149022Z test_comprehensive_special_chebyshev_polynomial_t_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2149191Z test_comprehensive_special_chebyshev_polynomial_t_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2149345Z test_comprehensive_special_chebyshev_polynomial_t_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2149517Z test_comprehensive_special_chebyshev_polynomial_u_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2149721Z test_comprehensive_special_chebyshev_polynomial_u_cpu_float32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2149895Z test_comprehensive_special_chebyshev_polynomial_u_cpu_float64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2150065Z test_comprehensive_special_chebyshev_polynomial_u_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2150232Z test_comprehensive_special_chebyshev_polynomial_u_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2150401Z test_comprehensive_special_chebyshev_polynomial_u_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2150566Z test_comprehensive_special_chebyshev_polynomial_u_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2150732Z test_comprehensive_special_chebyshev_polynomial_u_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2151178Z test_comprehensive_special_chebyshev_polynomial_v_cpu_bool (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2151532Z test_comprehensive_special_chebyshev_polynomial_v_cpu_float32 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2151892Z test_comprehensive_special_chebyshev_polynomial_v_cpu_float64 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2152242Z test_comprehensive_special_chebyshev_polynomial_v_cpu_int16 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2152580Z test_comprehensive_special_chebyshev_polynomial_v_cpu_int32 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2152912Z test_comprehensive_special_chebyshev_polynomial_v_cpu_int64 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2153253Z test_comprehensive_special_chebyshev_polynomial_v_cpu_int8 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2153589Z test_comprehensive_special_chebyshev_polynomial_v_cpu_uint8 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2153929Z test_comprehensive_special_chebyshev_polynomial_w_cpu_bool (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2154271Z test_comprehensive_special_chebyshev_polynomial_w_cpu_float32 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2154616Z test_comprehensive_special_chebyshev_polynomial_w_cpu_float64 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2154962Z test_comprehensive_special_chebyshev_polynomial_w_cpu_int16 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2155337Z test_comprehensive_special_chebyshev_polynomial_w_cpu_int32 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2155672Z test_comprehensive_special_chebyshev_polynomial_w_cpu_int64 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2156007Z test_comprehensive_special_chebyshev_polynomial_w_cpu_int8 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2156344Z test_comprehensive_special_chebyshev_polynomial_w_cpu_uint8 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2156533Z test_comprehensive_special_entr_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2156683Z test_comprehensive_special_entr_cpu_bool (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2156833Z test_comprehensive_special_entr_cpu_float32 (__main__.TestDecompCPU) ... ok (0.030s) 2022-11-23T01:37:01.2156985Z test_comprehensive_special_entr_cpu_float64 (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.2157131Z test_comprehensive_special_entr_cpu_int16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2157261Z test_comprehensive_special_entr_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2157401Z test_comprehensive_special_entr_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2157544Z test_comprehensive_special_entr_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2157687Z test_comprehensive_special_entr_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2157832Z test_comprehensive_special_erfcx_cpu_bool (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2157981Z test_comprehensive_special_erfcx_cpu_float32 (__main__.TestDecompCPU) ... ok (0.038s) 2022-11-23T01:37:01.2158131Z test_comprehensive_special_erfcx_cpu_float64 (__main__.TestDecompCPU) ... ok (0.036s) 2022-11-23T01:37:01.2158279Z test_comprehensive_special_erfcx_cpu_int16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2158426Z test_comprehensive_special_erfcx_cpu_int32 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2158553Z test_comprehensive_special_erfcx_cpu_int64 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2158700Z test_comprehensive_special_erfcx_cpu_int8 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2158842Z test_comprehensive_special_erfcx_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2159010Z test_comprehensive_special_hermite_polynomial_h_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2159181Z test_comprehensive_special_hermite_polynomial_h_cpu_float32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2159351Z test_comprehensive_special_hermite_polynomial_h_cpu_float64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2159517Z test_comprehensive_special_hermite_polynomial_h_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2159682Z test_comprehensive_special_hermite_polynomial_h_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2159829Z test_comprehensive_special_hermite_polynomial_h_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2159994Z test_comprehensive_special_hermite_polynomial_h_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2160154Z test_comprehensive_special_hermite_polynomial_h_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2160311Z test_comprehensive_special_hermite_polynomial_he_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2160482Z test_comprehensive_special_hermite_polynomial_he_cpu_float32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2160653Z test_comprehensive_special_hermite_polynomial_he_cpu_float64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2160851Z test_comprehensive_special_hermite_polynomial_he_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2161016Z test_comprehensive_special_hermite_polynomial_he_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2161175Z test_comprehensive_special_hermite_polynomial_he_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2161326Z test_comprehensive_special_hermite_polynomial_he_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2161485Z test_comprehensive_special_hermite_polynomial_he_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2161634Z test_comprehensive_special_i0e_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2161820Z test_comprehensive_special_i0e_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2161969Z test_comprehensive_special_i0e_cpu_float32 (__main__.TestDecompCPU) ... ok (0.034s) 2022-11-23T01:37:01.2162109Z test_comprehensive_special_i0e_cpu_float64 (__main__.TestDecompCPU) ... ok (0.031s) 2022-11-23T01:37:01.2162255Z test_comprehensive_special_i0e_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2162397Z test_comprehensive_special_i0e_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2162535Z test_comprehensive_special_i0e_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2162664Z test_comprehensive_special_i0e_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2162802Z test_comprehensive_special_i0e_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2162944Z test_comprehensive_special_i1_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2163091Z test_comprehensive_special_i1_cpu_float32 (__main__.TestDecompCPU) ... ok (0.082s) 2022-11-23T01:37:01.2163231Z test_comprehensive_special_i1_cpu_float64 (__main__.TestDecompCPU) ... ok (0.077s) 2022-11-23T01:37:01.2163375Z test_comprehensive_special_i1_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2163520Z test_comprehensive_special_i1_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2163659Z test_comprehensive_special_i1_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2163788Z test_comprehensive_special_i1_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2163935Z test_comprehensive_special_i1_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2164077Z test_comprehensive_special_i1e_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2164224Z test_comprehensive_special_i1e_cpu_float32 (__main__.TestDecompCPU) ... ok (0.103s) 2022-11-23T01:37:01.2164369Z test_comprehensive_special_i1e_cpu_float64 (__main__.TestDecompCPU) ... ok (0.097s) 2022-11-23T01:37:01.2164515Z test_comprehensive_special_i1e_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2164655Z test_comprehensive_special_i1e_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2164794Z test_comprehensive_special_i1e_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2164925Z test_comprehensive_special_i1e_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2165062Z test_comprehensive_special_i1e_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2165232Z test_comprehensive_special_laguerre_polynomial_l_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2165405Z test_comprehensive_special_laguerre_polynomial_l_cpu_float32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2165578Z test_comprehensive_special_laguerre_polynomial_l_cpu_float64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2165747Z test_comprehensive_special_laguerre_polynomial_l_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2165914Z test_comprehensive_special_laguerre_polynomial_l_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2166102Z test_comprehensive_special_laguerre_polynomial_l_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2166270Z test_comprehensive_special_laguerre_polynomial_l_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2166419Z test_comprehensive_special_laguerre_polynomial_l_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2166771Z test_comprehensive_special_legendre_polynomial_p_cpu_bool (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2167116Z test_comprehensive_special_legendre_polynomial_p_cpu_float32 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2167488Z test_comprehensive_special_legendre_polynomial_p_cpu_float64 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2167834Z test_comprehensive_special_legendre_polynomial_p_cpu_int16 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2168169Z test_comprehensive_special_legendre_polynomial_p_cpu_int32 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2168498Z test_comprehensive_special_legendre_polynomial_p_cpu_int64 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2168832Z test_comprehensive_special_legendre_polynomial_p_cpu_int8 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2169166Z test_comprehensive_special_legendre_polynomial_p_cpu_uint8 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2169316Z test_comprehensive_special_log_ndtr_cpu_bool (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2169473Z test_comprehensive_special_log_ndtr_cpu_float32 (__main__.TestDecompCPU) ... ok (0.057s) 2022-11-23T01:37:01.2169614Z test_comprehensive_special_log_ndtr_cpu_float64 (__main__.TestDecompCPU) ... ok (0.054s) 2022-11-23T01:37:01.2169769Z test_comprehensive_special_log_ndtr_cpu_int16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2169921Z test_comprehensive_special_log_ndtr_cpu_int32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2170070Z test_comprehensive_special_log_ndtr_cpu_int64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2170219Z test_comprehensive_special_log_ndtr_cpu_int8 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2170368Z test_comprehensive_special_log_ndtr_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2170532Z test_comprehensive_special_modified_bessel_i0_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2170702Z test_comprehensive_special_modified_bessel_i0_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2170854Z test_comprehensive_special_modified_bessel_i0_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2171015Z test_comprehensive_special_modified_bessel_i0_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2171174Z test_comprehensive_special_modified_bessel_i0_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2171329Z test_comprehensive_special_modified_bessel_i0_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2171490Z test_comprehensive_special_modified_bessel_i0_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2171656Z test_comprehensive_special_modified_bessel_i0_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2171816Z test_comprehensive_special_modified_bessel_i1_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2172020Z test_comprehensive_special_modified_bessel_i1_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2172185Z test_comprehensive_special_modified_bessel_i1_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2172332Z test_comprehensive_special_modified_bessel_i1_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2172489Z test_comprehensive_special_modified_bessel_i1_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2172643Z test_comprehensive_special_modified_bessel_i1_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2172802Z test_comprehensive_special_modified_bessel_i1_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2172994Z test_comprehensive_special_modified_bessel_i1_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2173153Z test_comprehensive_special_modified_bessel_k0_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2173322Z test_comprehensive_special_modified_bessel_k0_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2173482Z test_comprehensive_special_modified_bessel_k0_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2173640Z test_comprehensive_special_modified_bessel_k0_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2173783Z test_comprehensive_special_modified_bessel_k0_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2173937Z test_comprehensive_special_modified_bessel_k0_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2174094Z test_comprehensive_special_modified_bessel_k0_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2174255Z test_comprehensive_special_modified_bessel_k0_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2174416Z test_comprehensive_special_modified_bessel_k1_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2174581Z test_comprehensive_special_modified_bessel_k1_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2174741Z test_comprehensive_special_modified_bessel_k1_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2174899Z test_comprehensive_special_modified_bessel_k1_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2175053Z test_comprehensive_special_modified_bessel_k1_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2175192Z test_comprehensive_special_modified_bessel_k1_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2175350Z test_comprehensive_special_modified_bessel_k1_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2175512Z test_comprehensive_special_modified_bessel_k1_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2175722Z test_comprehensive_special_ndtr_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: special.ndtr in torch.bfloat16 not supported (0.001s) 2022-11-23T01:37:01.2175928Z test_comprehensive_special_ndtr_cpu_bool (__main__.TestDecompCPU) ... skip: special.ndtr in torch.bool not supported (0.001s) 2022-11-23T01:37:01.2176131Z test_comprehensive_special_ndtr_cpu_float32 (__main__.TestDecompCPU) ... skip: special.ndtr in torch.float32 not supported (0.001s) 2022-11-23T01:37:01.2176329Z test_comprehensive_special_ndtr_cpu_float64 (__main__.TestDecompCPU) ... skip: special.ndtr in torch.float64 not supported (0.001s) 2022-11-23T01:37:01.2176525Z test_comprehensive_special_ndtr_cpu_int16 (__main__.TestDecompCPU) ... skip: special.ndtr in torch.int16 not supported (0.001s) 2022-11-23T01:37:01.2176727Z test_comprehensive_special_ndtr_cpu_int32 (__main__.TestDecompCPU) ... skip: special.ndtr in torch.int32 not supported (0.001s) 2022-11-23T01:37:01.2176917Z test_comprehensive_special_ndtr_cpu_int64 (__main__.TestDecompCPU) ... skip: special.ndtr in torch.int64 not supported (0.001s) 2022-11-23T01:37:01.2177142Z test_comprehensive_special_ndtr_cpu_int8 (__main__.TestDecompCPU) ... skip: special.ndtr in torch.int8 not supported (0.001s) 2022-11-23T01:37:01.2177341Z test_comprehensive_special_ndtr_cpu_uint8 (__main__.TestDecompCPU) ... skip: special.ndtr in torch.uint8 not supported (0.001s) 2022-11-23T01:37:01.2177490Z test_comprehensive_special_ndtri_cpu_bool (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2177642Z test_comprehensive_special_ndtri_cpu_float32 (__main__.TestDecompCPU) ... ok (0.041s) 2022-11-23T01:37:01.2177793Z test_comprehensive_special_ndtri_cpu_float64 (__main__.TestDecompCPU) ... ok (0.038s) 2022-11-23T01:37:01.2177941Z test_comprehensive_special_ndtri_cpu_int16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2178114Z test_comprehensive_special_ndtri_cpu_int32 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2178253Z test_comprehensive_special_ndtri_cpu_int64 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2178388Z test_comprehensive_special_ndtri_cpu_int8 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2178531Z test_comprehensive_special_ndtri_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2178717Z test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2179031Z test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2179216Z test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_float32 (__main__.TestDecompCPU) ... ok (0.053s) 2022-11-23T01:37:01.2179398Z test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_float64 (__main__.TestDecompCPU) ... ok (0.051s) 2022-11-23T01:37:01.2179583Z test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2179762Z test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2179945Z test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2180111Z test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2180290Z test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2180464Z test_comprehensive_special_scaled_modified_bessel_k0_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2180642Z test_comprehensive_special_scaled_modified_bessel_k0_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2180817Z test_comprehensive_special_scaled_modified_bessel_k0_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2180992Z test_comprehensive_special_scaled_modified_bessel_k0_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2181162Z test_comprehensive_special_scaled_modified_bessel_k0_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2181334Z test_comprehensive_special_scaled_modified_bessel_k0_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2181504Z test_comprehensive_special_scaled_modified_bessel_k0_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2181660Z test_comprehensive_special_scaled_modified_bessel_k0_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2181831Z test_comprehensive_special_scaled_modified_bessel_k1_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2182003Z test_comprehensive_special_scaled_modified_bessel_k1_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2182176Z test_comprehensive_special_scaled_modified_bessel_k1_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2182344Z test_comprehensive_special_scaled_modified_bessel_k1_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2182567Z test_comprehensive_special_scaled_modified_bessel_k1_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2182735Z test_comprehensive_special_scaled_modified_bessel_k1_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2182904Z test_comprehensive_special_scaled_modified_bessel_k1_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2183072Z test_comprehensive_special_scaled_modified_bessel_k1_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2183449Z test_comprehensive_special_shifted_chebyshev_polynomial_t_cpu_bool (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2183838Z test_comprehensive_special_shifted_chebyshev_polynomial_t_cpu_float32 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2184203Z test_comprehensive_special_shifted_chebyshev_polynomial_t_cpu_float64 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2184557Z test_comprehensive_special_shifted_chebyshev_polynomial_t_cpu_int16 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2184911Z test_comprehensive_special_shifted_chebyshev_polynomial_t_cpu_int32 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2185262Z test_comprehensive_special_shifted_chebyshev_polynomial_t_cpu_int64 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2185616Z test_comprehensive_special_shifted_chebyshev_polynomial_t_cpu_int8 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2185966Z test_comprehensive_special_shifted_chebyshev_polynomial_t_cpu_uint8 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2186312Z test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_bool (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2186666Z test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_float32 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2187026Z test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_float64 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2187378Z test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_int16 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2187727Z test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_int32 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2188152Z test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_int64 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2188495Z test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_int8 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2188842Z test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_uint8 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2189192Z test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_bool (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2189549Z test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_float32 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2189941Z test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_float64 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2190297Z test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_int16 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2190645Z test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_int32 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2190992Z test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_int64 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2191370Z test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_int8 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2191720Z test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_uint8 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2192065Z test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_bool (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2192419Z test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_float32 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2192781Z test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_float64 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2193122Z test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_int16 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2193477Z test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_int32 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2193830Z test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_int64 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2194180Z test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_int8 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2194527Z test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_uint8 (__main__.TestDecompCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:37:01.2194697Z test_comprehensive_special_spherical_bessel_j0_cpu_bool (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2194866Z test_comprehensive_special_spherical_bessel_j0_cpu_float32 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2195017Z test_comprehensive_special_spherical_bessel_j0_cpu_float64 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2195182Z test_comprehensive_special_spherical_bessel_j0_cpu_int16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2195339Z test_comprehensive_special_spherical_bessel_j0_cpu_int32 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2195493Z test_comprehensive_special_spherical_bessel_j0_cpu_int64 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2195653Z test_comprehensive_special_spherical_bessel_j0_cpu_int8 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2195809Z test_comprehensive_special_spherical_bessel_j0_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2195967Z test_comprehensive_special_xlog1py_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.156s) 2022-11-23T01:37:01.2196118Z test_comprehensive_special_xlog1py_cpu_bool (__main__.TestDecompCPU) ... ok (0.071s) 2022-11-23T01:37:01.2196319Z test_comprehensive_special_xlog1py_cpu_float16 (__main__.TestDecompCPU) ... ok (0.161s) 2022-11-23T01:37:01.2196462Z test_comprehensive_special_xlog1py_cpu_float32 (__main__.TestDecompCPU) ... ok (1.315s) 2022-11-23T01:37:01.2196615Z test_comprehensive_special_xlog1py_cpu_float64 (__main__.TestDecompCPU) ... ok (1.285s) 2022-11-23T01:37:01.2196765Z test_comprehensive_special_xlog1py_cpu_int16 (__main__.TestDecompCPU) ... ok (0.072s) 2022-11-23T01:37:01.2196915Z test_comprehensive_special_xlog1py_cpu_int32 (__main__.TestDecompCPU) ... ok (0.072s) 2022-11-23T01:37:01.2197063Z test_comprehensive_special_xlog1py_cpu_int64 (__main__.TestDecompCPU) ... ok (0.071s) 2022-11-23T01:37:01.2197241Z test_comprehensive_special_xlog1py_cpu_int8 (__main__.TestDecompCPU) ... ok (0.073s) 2022-11-23T01:37:01.2197389Z test_comprehensive_special_xlog1py_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.072s) 2022-11-23T01:37:01.2197543Z test_comprehensive_special_zeta_cpu_bool (__main__.TestDecompCPU) ... ok (0.070s) 2022-11-23T01:37:01.2197690Z test_comprehensive_special_zeta_cpu_float32 (__main__.TestDecompCPU) ... ok (0.106s) 2022-11-23T01:37:01.2197827Z test_comprehensive_special_zeta_cpu_float64 (__main__.TestDecompCPU) ... ok (0.104s) 2022-11-23T01:37:01.2197977Z test_comprehensive_special_zeta_cpu_int16 (__main__.TestDecompCPU) ... ok (0.069s) 2022-11-23T01:37:01.2198120Z test_comprehensive_special_zeta_cpu_int32 (__main__.TestDecompCPU) ... ok (0.069s) 2022-11-23T01:37:01.2198260Z test_comprehensive_special_zeta_cpu_int64 (__main__.TestDecompCPU) ... ok (0.069s) 2022-11-23T01:37:01.2198406Z test_comprehensive_special_zeta_cpu_int8 (__main__.TestDecompCPU) ... ok (0.069s) 2022-11-23T01:37:01.2198552Z test_comprehensive_special_zeta_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.070s) 2022-11-23T01:37:01.2198699Z test_comprehensive_split_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2198844Z test_comprehensive_split_cpu_bool (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.2198983Z test_comprehensive_split_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.126s) 2022-11-23T01:37:01.2199129Z test_comprehensive_split_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.083s) 2022-11-23T01:37:01.2199276Z test_comprehensive_split_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.133s) 2022-11-23T01:37:01.2199418Z test_comprehensive_split_cpu_float16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2199562Z test_comprehensive_split_cpu_float32 (__main__.TestDecompCPU) ... ok (0.071s) 2022-11-23T01:37:01.2199706Z test_comprehensive_split_cpu_float64 (__main__.TestDecompCPU) ... ok (0.069s) 2022-11-23T01:37:01.2199848Z test_comprehensive_split_cpu_int16 (__main__.TestDecompCPU) ... ok (0.030s) 2022-11-23T01:37:01.2199989Z test_comprehensive_split_cpu_int32 (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.2200112Z test_comprehensive_split_cpu_int64 (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.2200257Z test_comprehensive_split_cpu_int8 (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.2200395Z test_comprehensive_split_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.2200551Z test_comprehensive_split_list_args_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2200704Z test_comprehensive_split_list_args_cpu_bool (__main__.TestDecompCPU) ... ok (0.064s) 2022-11-23T01:37:01.2200860Z test_comprehensive_split_list_args_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.255s) 2022-11-23T01:37:01.2201017Z test_comprehensive_split_list_args_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.260s) 2022-11-23T01:37:01.2201171Z test_comprehensive_split_list_args_cpu_float16 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2201310Z test_comprehensive_split_list_args_cpu_float32 (__main__.TestDecompCPU) ... ok (0.143s) 2022-11-23T01:37:01.2201461Z test_comprehensive_split_list_args_cpu_float64 (__main__.TestDecompCPU) ... ok (0.141s) 2022-11-23T01:37:01.2201641Z test_comprehensive_split_list_args_cpu_int16 (__main__.TestDecompCPU) ... ok (0.065s) 2022-11-23T01:37:01.2201792Z test_comprehensive_split_list_args_cpu_int32 (__main__.TestDecompCPU) ... ok (0.065s) 2022-11-23T01:37:01.2201942Z test_comprehensive_split_list_args_cpu_int64 (__main__.TestDecompCPU) ... ok (0.064s) 2022-11-23T01:37:01.2202091Z test_comprehensive_split_list_args_cpu_int8 (__main__.TestDecompCPU) ... ok (0.065s) 2022-11-23T01:37:01.2202239Z test_comprehensive_split_list_args_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.064s) 2022-11-23T01:37:01.2202396Z test_comprehensive_split_with_sizes_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2202573Z test_comprehensive_split_with_sizes_cpu_bool (__main__.TestDecompCPU) ... ok (0.086s) 2022-11-23T01:37:01.2202720Z test_comprehensive_split_with_sizes_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.338s) 2022-11-23T01:37:01.2202881Z test_comprehensive_split_with_sizes_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.243s) 2022-11-23T01:37:01.2203038Z test_comprehensive_split_with_sizes_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.346s) 2022-11-23T01:37:01.2203191Z test_comprehensive_split_with_sizes_cpu_float16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2203345Z test_comprehensive_split_with_sizes_cpu_float32 (__main__.TestDecompCPU) ... ok (0.190s) 2022-11-23T01:37:01.2203494Z test_comprehensive_split_with_sizes_cpu_float64 (__main__.TestDecompCPU) ... ok (0.187s) 2022-11-23T01:37:01.2203644Z test_comprehensive_split_with_sizes_cpu_int16 (__main__.TestDecompCPU) ... ok (0.085s) 2022-11-23T01:37:01.2203796Z test_comprehensive_split_with_sizes_cpu_int32 (__main__.TestDecompCPU) ... ok (0.085s) 2022-11-23T01:37:01.2203932Z test_comprehensive_split_with_sizes_cpu_int64 (__main__.TestDecompCPU) ... ok (0.084s) 2022-11-23T01:37:01.2204080Z test_comprehensive_split_with_sizes_cpu_int8 (__main__.TestDecompCPU) ... ok (0.085s) 2022-11-23T01:37:01.2204232Z test_comprehensive_split_with_sizes_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.084s) 2022-11-23T01:37:01.2204376Z test_comprehensive_sqrt_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2204516Z test_comprehensive_sqrt_cpu_bool (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2204661Z test_comprehensive_sqrt_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.271s) 2022-11-23T01:37:01.2204804Z test_comprehensive_sqrt_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.276s) 2022-11-23T01:37:01.2204950Z test_comprehensive_sqrt_cpu_float32 (__main__.TestDecompCPU) ... ok (0.113s) 2022-11-23T01:37:01.2205080Z test_comprehensive_sqrt_cpu_float64 (__main__.TestDecompCPU) ... ok (0.112s) 2022-11-23T01:37:01.2205220Z test_comprehensive_sqrt_cpu_int16 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2205358Z test_comprehensive_sqrt_cpu_int32 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2205496Z test_comprehensive_sqrt_cpu_int64 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2205632Z test_comprehensive_sqrt_cpu_int8 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2205771Z test_comprehensive_sqrt_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2205912Z test_comprehensive_square_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2206052Z test_comprehensive_square_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2206187Z test_comprehensive_square_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.055s) 2022-11-23T01:37:01.2206338Z test_comprehensive_square_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.057s) 2022-11-23T01:37:01.2206480Z test_comprehensive_square_cpu_float16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2206623Z test_comprehensive_square_cpu_float32 (__main__.TestDecompCPU) ... ok (0.028s) 2022-11-23T01:37:01.2206762Z test_comprehensive_square_cpu_float64 (__main__.TestDecompCPU) ... ok (0.027s) 2022-11-23T01:37:01.2206933Z test_comprehensive_square_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2207070Z test_comprehensive_square_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2207209Z test_comprehensive_square_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2207346Z test_comprehensive_square_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2207470Z test_comprehensive_square_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2207615Z test_comprehensive_squeeze_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2207780Z test_comprehensive_squeeze_cpu_bool (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.2207928Z test_comprehensive_squeeze_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.085s) 2022-11-23T01:37:01.2208072Z test_comprehensive_squeeze_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.2208216Z test_comprehensive_squeeze_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.088s) 2022-11-23T01:37:01.2208357Z test_comprehensive_squeeze_cpu_float16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2208500Z test_comprehensive_squeeze_cpu_float32 (__main__.TestDecompCPU) ... ok (0.055s) 2022-11-23T01:37:01.2208629Z test_comprehensive_squeeze_cpu_float64 (__main__.TestDecompCPU) ... ok (0.053s) 2022-11-23T01:37:01.2208770Z test_comprehensive_squeeze_cpu_int16 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.2208910Z test_comprehensive_squeeze_cpu_int32 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.2209052Z test_comprehensive_squeeze_cpu_int64 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.2209190Z test_comprehensive_squeeze_cpu_int8 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.2209327Z test_comprehensive_squeeze_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.2209474Z test_comprehensive_stack_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2209613Z test_comprehensive_stack_cpu_bool (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.2209747Z test_comprehensive_stack_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.058s) 2022-11-23T01:37:01.2209888Z test_comprehensive_stack_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.2210028Z test_comprehensive_stack_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.061s) 2022-11-23T01:37:01.2210168Z test_comprehensive_stack_cpu_float16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2210309Z test_comprehensive_stack_cpu_float32 (__main__.TestDecompCPU) ... ok (0.036s) 2022-11-23T01:37:01.2210447Z test_comprehensive_stack_cpu_float64 (__main__.TestDecompCPU) ... ok (0.035s) 2022-11-23T01:37:01.2210585Z test_comprehensive_stack_cpu_int16 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.2210722Z test_comprehensive_stack_cpu_int32 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.2210846Z test_comprehensive_stack_cpu_int64 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2210983Z test_comprehensive_stack_cpu_int8 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.2211116Z test_comprehensive_stack_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.2211253Z test_comprehensive_std_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.084s) 2022-11-23T01:37:01.2211400Z test_comprehensive_std_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.850s) 2022-11-23T01:37:01.2211540Z test_comprehensive_std_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.867s) 2022-11-23T01:37:01.2211681Z test_comprehensive_std_cpu_float16 (__main__.TestDecompCPU) ... ok (0.088s) 2022-11-23T01:37:01.2211817Z test_comprehensive_std_cpu_float32 (__main__.TestDecompCPU) ... ok (0.541s) 2022-11-23T01:37:01.2211940Z test_comprehensive_std_cpu_float64 (__main__.TestDecompCPU) ... ok (0.526s) 2022-11-23T01:37:01.2212125Z test_comprehensive_std_mean_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.118s) 2022-11-23T01:37:01.2212274Z test_comprehensive_std_mean_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.566s) 2022-11-23T01:37:01.2212421Z test_comprehensive_std_mean_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.600s) 2022-11-23T01:37:01.2212564Z test_comprehensive_std_mean_cpu_float16 (__main__.TestDecompCPU) ... ok (0.127s) 2022-11-23T01:37:01.2212705Z test_comprehensive_std_mean_cpu_float32 (__main__.TestDecompCPU) ... ok (0.943s) 2022-11-23T01:37:01.2212840Z test_comprehensive_std_mean_cpu_float64 (__main__.TestDecompCPU) ... ok (0.928s) 2022-11-23T01:37:01.2213009Z test_comprehensive_stft_cpu_complex128 (__main__.TestDecompCPU) ... ok (4.068s) 2022-11-23T01:37:01.2213140Z test_comprehensive_stft_cpu_complex64 (__main__.TestDecompCPU) ... ok (4.099s) 2022-11-23T01:37:01.2213279Z test_comprehensive_stft_cpu_float32 (__main__.TestDecompCPU) ... ok (2.953s) 2022-11-23T01:37:01.2213415Z test_comprehensive_stft_cpu_float64 (__main__.TestDecompCPU) ... ok (2.938s) 2022-11-23T01:37:01.2213554Z test_comprehensive_sub_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.034s) 2022-11-23T01:37:01.2213694Z test_comprehensive_sub_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.859s) 2022-11-23T01:37:01.2213834Z test_comprehensive_sub_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.222s) 2022-11-23T01:37:01.2213975Z test_comprehensive_sub_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.866s) 2022-11-23T01:37:01.2214111Z test_comprehensive_sub_cpu_float16 (__main__.TestDecompCPU) ... ok (0.037s) 2022-11-23T01:37:01.2214236Z test_comprehensive_sub_cpu_float32 (__main__.TestDecompCPU) ... ok (0.480s) 2022-11-23T01:37:01.2214373Z test_comprehensive_sub_cpu_float64 (__main__.TestDecompCPU) ... ok (0.471s) 2022-11-23T01:37:01.2214507Z test_comprehensive_sub_cpu_int16 (__main__.TestDecompCPU) ... ok (0.073s) 2022-11-23T01:37:01.2214641Z test_comprehensive_sub_cpu_int32 (__main__.TestDecompCPU) ... ok (0.072s) 2022-11-23T01:37:01.2214778Z test_comprehensive_sub_cpu_int64 (__main__.TestDecompCPU) ... ok (0.071s) 2022-11-23T01:37:01.2214912Z test_comprehensive_sub_cpu_int8 (__main__.TestDecompCPU) ... ok (0.072s) 2022-11-23T01:37:01.2215044Z test_comprehensive_sub_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.072s) 2022-11-23T01:37:01.2215182Z test_comprehensive_sum_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.037s) 2022-11-23T01:37:01.2215304Z test_comprehensive_sum_cpu_bool (__main__.TestDecompCPU) ... ok (0.030s) 2022-11-23T01:37:01.2215446Z test_comprehensive_sum_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.189s) 2022-11-23T01:37:01.2215589Z test_comprehensive_sum_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.200s) 2022-11-23T01:37:01.2215725Z test_comprehensive_sum_cpu_float16 (__main__.TestDecompCPU) ... ok (0.040s) 2022-11-23T01:37:01.2215861Z test_comprehensive_sum_cpu_float32 (__main__.TestDecompCPU) ... ok (0.125s) 2022-11-23T01:37:01.2215992Z test_comprehensive_sum_cpu_float64 (__main__.TestDecompCPU) ... ok (0.117s) 2022-11-23T01:37:01.2216128Z test_comprehensive_sum_cpu_int16 (__main__.TestDecompCPU) ... ok (0.030s) 2022-11-23T01:37:01.2216262Z test_comprehensive_sum_cpu_int32 (__main__.TestDecompCPU) ... ok (0.030s) 2022-11-23T01:37:01.2216381Z test_comprehensive_sum_cpu_int64 (__main__.TestDecompCPU) ... ok (0.027s) 2022-11-23T01:37:01.2216512Z test_comprehensive_sum_cpu_int8 (__main__.TestDecompCPU) ... ok (0.030s) 2022-11-23T01:37:01.2216642Z test_comprehensive_sum_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.030s) 2022-11-23T01:37:01.2216789Z test_comprehensive_sum_to_size_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.2216935Z test_comprehensive_sum_to_size_cpu_bool (__main__.TestDecompCPU) ... ok (0.041s) 2022-11-23T01:37:01.2217086Z test_comprehensive_sum_to_size_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.166s) 2022-11-23T01:37:01.2217233Z test_comprehensive_sum_to_size_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.172s) 2022-11-23T01:37:01.2217406Z test_comprehensive_sum_to_size_cpu_float16 (__main__.TestDecompCPU) ... ok (0.025s) 2022-11-23T01:37:01.2217549Z test_comprehensive_sum_to_size_cpu_float32 (__main__.TestDecompCPU) ... ok (0.100s) 2022-11-23T01:37:01.2217678Z test_comprehensive_sum_to_size_cpu_float64 (__main__.TestDecompCPU) ... ok (0.097s) 2022-11-23T01:37:01.2217822Z test_comprehensive_sum_to_size_cpu_int16 (__main__.TestDecompCPU) ... ok (0.041s) 2022-11-23T01:37:01.2217962Z test_comprehensive_sum_to_size_cpu_int32 (__main__.TestDecompCPU) ... ok (0.041s) 2022-11-23T01:37:01.2218101Z test_comprehensive_sum_to_size_cpu_int64 (__main__.TestDecompCPU) ... ok (0.039s) 2022-11-23T01:37:01.2218270Z test_comprehensive_sum_to_size_cpu_int8 (__main__.TestDecompCPU) ... ok (0.041s) 2022-11-23T01:37:01.2218407Z test_comprehensive_sum_to_size_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.041s) 2022-11-23T01:37:01.2218553Z test_comprehensive_svd_cpu_complex128 (__main__.TestDecompCPU) ... ok (21.000s) 2022-11-23T01:37:01.2218697Z test_comprehensive_svd_cpu_complex64 (__main__.TestDecompCPU) ... ok (20.314s) 2022-11-23T01:37:01.2218939Z test_comprehensive_svd_cpu_float32 (__main__.TestDecompCPU) ... ok (10.633s) 2022-11-23T01:37:01.2219082Z test_comprehensive_svd_cpu_float64 (__main__.TestDecompCPU) ... ok (12.293s) 2022-11-23T01:37:01.2219252Z test_comprehensive_svd_lowrank_cpu_float32 (__main__.TestDecompCPU) ... expected failure (1.112s) 2022-11-23T01:37:01.2219415Z test_comprehensive_svd_lowrank_cpu_float64 (__main__.TestDecompCPU) ... expected failure (1.047s) 2022-11-23T01:37:01.2219561Z test_comprehensive_symeig_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.711s) 2022-11-23T01:37:01.2219708Z test_comprehensive_symeig_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.731s) 2022-11-23T01:37:01.2219852Z test_comprehensive_symeig_cpu_float32 (__main__.TestDecompCPU) ... ok (0.476s) 2022-11-23T01:37:01.2219995Z test_comprehensive_symeig_cpu_float64 (__main__.TestDecompCPU) ... ok (0.458s) 2022-11-23T01:37:01.2220126Z test_comprehensive_t_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2220262Z test_comprehensive_t_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2220401Z test_comprehensive_t_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.2220546Z test_comprehensive_t_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2220682Z test_comprehensive_t_cpu_float16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2220817Z test_comprehensive_t_cpu_float32 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2220952Z test_comprehensive_t_cpu_float64 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2221086Z test_comprehensive_t_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2221205Z test_comprehensive_t_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2221338Z test_comprehensive_t_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2221475Z test_comprehensive_t_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2221608Z test_comprehensive_t_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2221762Z test_comprehensive_take_along_dim_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2221911Z test_comprehensive_take_along_dim_cpu_bool (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.2222068Z test_comprehensive_take_along_dim_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.072s) 2022-11-23T01:37:01.2222221Z test_comprehensive_take_along_dim_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.077s) 2022-11-23T01:37:01.2222362Z test_comprehensive_take_along_dim_cpu_float16 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.2222511Z test_comprehensive_take_along_dim_cpu_float32 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2222660Z test_comprehensive_take_along_dim_cpu_float64 (__main__.TestDecompCPU) ... ok (0.046s) 2022-11-23T01:37:01.2222855Z test_comprehensive_take_along_dim_cpu_int16 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2223006Z test_comprehensive_take_along_dim_cpu_int32 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.2223152Z test_comprehensive_take_along_dim_cpu_int64 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.2223300Z test_comprehensive_take_along_dim_cpu_int8 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.2223447Z test_comprehensive_take_along_dim_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.2223589Z test_comprehensive_take_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2223750Z test_comprehensive_take_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2223896Z test_comprehensive_take_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2224038Z test_comprehensive_take_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2224181Z test_comprehensive_take_cpu_float16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2224323Z test_comprehensive_take_cpu_float32 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2224463Z test_comprehensive_take_cpu_float64 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2224600Z test_comprehensive_take_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2224737Z test_comprehensive_take_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2224861Z test_comprehensive_take_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2224999Z test_comprehensive_take_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2225132Z test_comprehensive_take_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2225270Z test_comprehensive_tan_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2225410Z test_comprehensive_tan_cpu_bool (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2225551Z test_comprehensive_tan_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.329s) 2022-11-23T01:37:01.2225692Z test_comprehensive_tan_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.332s) 2022-11-23T01:37:01.2225830Z test_comprehensive_tan_cpu_float32 (__main__.TestDecompCPU) ... ok (0.143s) 2022-11-23T01:37:01.2225955Z test_comprehensive_tan_cpu_float64 (__main__.TestDecompCPU) ... ok (0.142s) 2022-11-23T01:37:01.2226090Z test_comprehensive_tan_cpu_int16 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2226223Z test_comprehensive_tan_cpu_int32 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2226358Z test_comprehensive_tan_cpu_int64 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2226492Z test_comprehensive_tan_cpu_int8 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2226621Z test_comprehensive_tan_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2226766Z test_comprehensive_tanh_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2226900Z test_comprehensive_tanh_cpu_bool (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.2227031Z test_comprehensive_tanh_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.164s) 2022-11-23T01:37:01.2227173Z test_comprehensive_tanh_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.166s) 2022-11-23T01:37:01.2227309Z test_comprehensive_tanh_cpu_float32 (__main__.TestDecompCPU) ... ok (0.085s) 2022-11-23T01:37:01.2227447Z test_comprehensive_tanh_cpu_float64 (__main__.TestDecompCPU) ... ok (0.084s) 2022-11-23T01:37:01.2227584Z test_comprehensive_tanh_cpu_int16 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2227720Z test_comprehensive_tanh_cpu_int32 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2227852Z test_comprehensive_tanh_cpu_int64 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2228010Z test_comprehensive_tanh_cpu_int8 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2228211Z test_comprehensive_tanh_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.2228368Z test_comprehensive_tensor_split_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.059s) 2022-11-23T01:37:01.2228515Z test_comprehensive_tensor_split_cpu_bool (__main__.TestDecompCPU) ... ok (0.222s) 2022-11-23T01:37:01.2228672Z test_comprehensive_tensor_split_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.335s) 2022-11-23T01:37:01.2228826Z test_comprehensive_tensor_split_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.359s) 2022-11-23T01:37:01.2228976Z test_comprehensive_tensor_split_cpu_float16 (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.2229153Z test_comprehensive_tensor_split_cpu_float32 (__main__.TestDecompCPU) ... ok (0.770s) 2022-11-23T01:37:01.2229302Z test_comprehensive_tensor_split_cpu_float64 (__main__.TestDecompCPU) ... ok (0.758s) 2022-11-23T01:37:01.2229438Z test_comprehensive_tensor_split_cpu_int16 (__main__.TestDecompCPU) ... ok (0.222s) 2022-11-23T01:37:01.2229580Z test_comprehensive_tensor_split_cpu_int32 (__main__.TestDecompCPU) ... ok (0.220s) 2022-11-23T01:37:01.2229719Z test_comprehensive_tensor_split_cpu_int64 (__main__.TestDecompCPU) ... ok (0.219s) 2022-11-23T01:37:01.2229864Z test_comprehensive_tensor_split_cpu_int8 (__main__.TestDecompCPU) ... ok (0.220s) 2022-11-23T01:37:01.2230005Z test_comprehensive_tensor_split_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.219s) 2022-11-23T01:37:01.2230145Z test_comprehensive_tensordot_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2230297Z test_comprehensive_tensordot_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.093s) 2022-11-23T01:37:01.2230447Z test_comprehensive_tensordot_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.099s) 2022-11-23T01:37:01.2230593Z test_comprehensive_tensordot_cpu_float32 (__main__.TestDecompCPU) ... ok (0.061s) 2022-11-23T01:37:01.2230724Z test_comprehensive_tensordot_cpu_float64 (__main__.TestDecompCPU) ... ok (0.058s) 2022-11-23T01:37:01.2230869Z test_comprehensive_tensordot_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2231013Z test_comprehensive_tensordot_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2231161Z test_comprehensive_tensordot_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2231307Z test_comprehensive_tensordot_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2231447Z test_comprehensive_tensordot_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2231589Z test_comprehensive_tile_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2231731Z test_comprehensive_tile_cpu_bool (__main__.TestDecompCPU) ... ok (0.044s) 2022-11-23T01:37:01.2231859Z test_comprehensive_tile_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.213s) 2022-11-23T01:37:01.2232005Z test_comprehensive_tile_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.224s) 2022-11-23T01:37:01.2232146Z test_comprehensive_tile_cpu_float16 (__main__.TestDecompCPU) ... ok (0.051s) 2022-11-23T01:37:01.2232284Z test_comprehensive_tile_cpu_float32 (__main__.TestDecompCPU) ... ok (0.142s) 2022-11-23T01:37:01.2232424Z test_comprehensive_tile_cpu_float64 (__main__.TestDecompCPU) ... ok (0.136s) 2022-11-23T01:37:01.2232562Z test_comprehensive_tile_cpu_int16 (__main__.TestDecompCPU) ... ok (0.044s) 2022-11-23T01:37:01.2232700Z test_comprehensive_tile_cpu_int32 (__main__.TestDecompCPU) ... ok (0.044s) 2022-11-23T01:37:01.2232833Z test_comprehensive_tile_cpu_int64 (__main__.TestDecompCPU) ... ok (0.041s) 2022-11-23T01:37:01.2232958Z test_comprehensive_tile_cpu_int8 (__main__.TestDecompCPU) ... ok (0.044s) 2022-11-23T01:37:01.2233092Z test_comprehensive_tile_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.045s) 2022-11-23T01:37:01.2233230Z test_comprehensive_to_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.044s) 2022-11-23T01:37:01.2233400Z test_comprehensive_to_cpu_bool (__main__.TestDecompCPU) ... ok (0.806s) 2022-11-23T01:37:01.2233543Z test_comprehensive_to_cpu_complex128 (__main__.TestDecompCPU) ... ok (2.767s) 2022-11-23T01:37:01.2233685Z test_comprehensive_to_cpu_complex64 (__main__.TestDecompCPU) ... ok (2.357s) 2022-11-23T01:37:01.2233822Z test_comprehensive_to_cpu_float16 (__main__.TestDecompCPU) ... ok (0.038s) 2022-11-23T01:37:01.2233958Z test_comprehensive_to_cpu_float32 (__main__.TestDecompCPU) ... ok (1.668s) 2022-11-23T01:37:01.2234082Z test_comprehensive_to_cpu_float64 (__main__.TestDecompCPU) ... ok (0.626s) 2022-11-23T01:37:01.2234216Z test_comprehensive_to_cpu_int16 (__main__.TestDecompCPU) ... ok (0.579s) 2022-11-23T01:37:01.2234378Z test_comprehensive_to_cpu_int32 (__main__.TestDecompCPU) ... ok (0.579s) 2022-11-23T01:37:01.2234513Z test_comprehensive_to_cpu_int64 (__main__.TestDecompCPU) ... ok (0.576s) 2022-11-23T01:37:01.2234645Z test_comprehensive_to_cpu_int8 (__main__.TestDecompCPU) ... ok (0.576s) 2022-11-23T01:37:01.2234782Z test_comprehensive_to_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.574s) 2022-11-23T01:37:01.2234928Z test_comprehensive_to_sparse_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2235071Z test_comprehensive_to_sparse_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2235209Z test_comprehensive_to_sparse_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2235360Z test_comprehensive_to_sparse_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2235503Z test_comprehensive_to_sparse_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2235648Z test_comprehensive_to_sparse_cpu_float32 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2235786Z test_comprehensive_to_sparse_cpu_float64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2235928Z test_comprehensive_to_sparse_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2236073Z test_comprehensive_to_sparse_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2236214Z test_comprehensive_to_sparse_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2236345Z test_comprehensive_to_sparse_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2236484Z test_comprehensive_to_sparse_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2236625Z test_comprehensive_topk_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2236765Z test_comprehensive_topk_cpu_float32 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2236907Z test_comprehensive_topk_cpu_float64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2237044Z test_comprehensive_topk_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2237178Z test_comprehensive_topk_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2237310Z test_comprehensive_topk_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2237435Z test_comprehensive_topk_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2237568Z test_comprehensive_topk_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2237713Z test_comprehensive_trace_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2237858Z test_comprehensive_trace_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2237999Z test_comprehensive_trace_cpu_float32 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2238139Z test_comprehensive_trace_cpu_float64 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2238278Z test_comprehensive_trace_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2238415Z test_comprehensive_trace_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2238538Z test_comprehensive_trace_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2238703Z test_comprehensive_trace_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2238838Z test_comprehensive_trace_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2238989Z test_comprehensive_transpose_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2239134Z test_comprehensive_transpose_cpu_bool (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2239285Z test_comprehensive_transpose_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.085s) 2022-11-23T01:37:01.2239433Z test_comprehensive_transpose_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.045s) 2022-11-23T01:37:01.2239605Z test_comprehensive_transpose_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.088s) 2022-11-23T01:37:01.2239741Z test_comprehensive_transpose_cpu_float16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2239883Z test_comprehensive_transpose_cpu_float32 (__main__.TestDecompCPU) ... ok (0.051s) 2022-11-23T01:37:01.2240025Z test_comprehensive_transpose_cpu_float64 (__main__.TestDecompCPU) ... ok (0.050s) 2022-11-23T01:37:01.2240171Z test_comprehensive_transpose_cpu_int16 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2240315Z test_comprehensive_transpose_cpu_int32 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2240458Z test_comprehensive_transpose_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2240602Z test_comprehensive_transpose_cpu_int8 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2240745Z test_comprehensive_transpose_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2240899Z test_comprehensive_trapezoid_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.098s) 2022-11-23T01:37:01.2241037Z test_comprehensive_trapezoid_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.613s) 2022-11-23T01:37:01.2241188Z test_comprehensive_trapezoid_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.660s) 2022-11-23T01:37:01.2241335Z test_comprehensive_trapezoid_cpu_float16 (__main__.TestDecompCPU) ... ok (0.106s) 2022-11-23T01:37:01.2241478Z test_comprehensive_trapezoid_cpu_float32 (__main__.TestDecompCPU) ... ok (0.385s) 2022-11-23T01:37:01.2241621Z test_comprehensive_trapezoid_cpu_float64 (__main__.TestDecompCPU) ... ok (0.358s) 2022-11-23T01:37:01.2241765Z test_comprehensive_trapezoid_cpu_int16 (__main__.TestDecompCPU) ... ok (0.075s) 2022-11-23T01:37:01.2241910Z test_comprehensive_trapezoid_cpu_int32 (__main__.TestDecompCPU) ... ok (0.074s) 2022-11-23T01:37:01.2242054Z test_comprehensive_trapezoid_cpu_int64 (__main__.TestDecompCPU) ... ok (0.071s) 2022-11-23T01:37:01.2242189Z test_comprehensive_trapezoid_cpu_int8 (__main__.TestDecompCPU) ... ok (0.074s) 2022-11-23T01:37:01.2242334Z test_comprehensive_trapezoid_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.074s) 2022-11-23T01:37:01.2242479Z test_comprehensive_trapz_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.096s) 2022-11-23T01:37:01.2242631Z test_comprehensive_trapz_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.608s) 2022-11-23T01:37:01.2242775Z test_comprehensive_trapz_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.656s) 2022-11-23T01:37:01.2242917Z test_comprehensive_trapz_cpu_float16 (__main__.TestDecompCPU) ... ok (0.103s) 2022-11-23T01:37:01.2243064Z test_comprehensive_trapz_cpu_float32 (__main__.TestDecompCPU) ... ok (0.383s) 2022-11-23T01:37:01.2243206Z test_comprehensive_trapz_cpu_float64 (__main__.TestDecompCPU) ... ok (0.356s) 2022-11-23T01:37:01.2243330Z test_comprehensive_trapz_cpu_int16 (__main__.TestDecompCPU) ... ok (0.075s) 2022-11-23T01:37:01.2243470Z test_comprehensive_trapz_cpu_int32 (__main__.TestDecompCPU) ... ok (0.075s) 2022-11-23T01:37:01.2243610Z test_comprehensive_trapz_cpu_int64 (__main__.TestDecompCPU) ... ok (0.072s) 2022-11-23T01:37:01.2243752Z test_comprehensive_trapz_cpu_int8 (__main__.TestDecompCPU) ... ok (0.074s) 2022-11-23T01:37:01.2243888Z test_comprehensive_trapz_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.075s) 2022-11-23T01:37:01.2244097Z test_comprehensive_triangular_solve_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.259s) 2022-11-23T01:37:01.2244259Z test_comprehensive_triangular_solve_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.321s) 2022-11-23T01:37:01.2244417Z test_comprehensive_triangular_solve_cpu_float32 (__main__.TestDecompCPU) ... ok (0.180s) 2022-11-23T01:37:01.2244558Z test_comprehensive_triangular_solve_cpu_float64 (__main__.TestDecompCPU) ... ok (0.173s) 2022-11-23T01:37:01.2244700Z test_comprehensive_tril_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2244840Z test_comprehensive_tril_cpu_bool (__main__.TestDecompCPU) ... ok (0.065s) 2022-11-23T01:37:01.2245013Z test_comprehensive_tril_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.361s) 2022-11-23T01:37:01.2245160Z test_comprehensive_tril_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.363s) 2022-11-23T01:37:01.2245301Z test_comprehensive_tril_cpu_float16 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2245445Z test_comprehensive_tril_cpu_float32 (__main__.TestDecompCPU) ... ok (0.200s) 2022-11-23T01:37:01.2245586Z test_comprehensive_tril_cpu_float64 (__main__.TestDecompCPU) ... ok (0.195s) 2022-11-23T01:37:01.2245710Z test_comprehensive_tril_cpu_int16 (__main__.TestDecompCPU) ... ok (0.064s) 2022-11-23T01:37:01.2245849Z test_comprehensive_tril_cpu_int32 (__main__.TestDecompCPU) ... ok (0.064s) 2022-11-23T01:37:01.2245986Z test_comprehensive_tril_cpu_int64 (__main__.TestDecompCPU) ... ok (0.063s) 2022-11-23T01:37:01.2246124Z test_comprehensive_tril_cpu_int8 (__main__.TestDecompCPU) ... ok (0.064s) 2022-11-23T01:37:01.2246261Z test_comprehensive_tril_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.064s) 2022-11-23T01:37:01.2246411Z test_comprehensive_tril_indices_cpu_int32 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2246556Z test_comprehensive_tril_indices_cpu_int64 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2246701Z test_comprehensive_triu_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2246839Z test_comprehensive_triu_cpu_bool (__main__.TestDecompCPU) ... ok (0.064s) 2022-11-23T01:37:01.2246969Z test_comprehensive_triu_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.361s) 2022-11-23T01:37:01.2247116Z test_comprehensive_triu_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.363s) 2022-11-23T01:37:01.2247256Z test_comprehensive_triu_cpu_float16 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.2247397Z test_comprehensive_triu_cpu_float32 (__main__.TestDecompCPU) ... ok (0.198s) 2022-11-23T01:37:01.2247534Z test_comprehensive_triu_cpu_float64 (__main__.TestDecompCPU) ... ok (0.195s) 2022-11-23T01:37:01.2247673Z test_comprehensive_triu_cpu_int16 (__main__.TestDecompCPU) ... ok (0.064s) 2022-11-23T01:37:01.2247809Z test_comprehensive_triu_cpu_int32 (__main__.TestDecompCPU) ... ok (0.064s) 2022-11-23T01:37:01.2247943Z test_comprehensive_triu_cpu_int64 (__main__.TestDecompCPU) ... ok (0.063s) 2022-11-23T01:37:01.2248067Z test_comprehensive_triu_cpu_int8 (__main__.TestDecompCPU) ... ok (0.064s) 2022-11-23T01:37:01.2248200Z test_comprehensive_triu_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.064s) 2022-11-23T01:37:01.2248344Z test_comprehensive_triu_indices_cpu_int32 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2248486Z test_comprehensive_triu_indices_cpu_int64 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2248637Z test_comprehensive_true_divide_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.059s) 2022-11-23T01:37:01.2248782Z test_comprehensive_true_divide_cpu_bool (__main__.TestDecompCPU) ... ok (0.071s) 2022-11-23T01:37:01.2248935Z test_comprehensive_true_divide_cpu_complex128 (__main__.TestDecompCPU) ... ok (2.438s) 2022-11-23T01:37:01.2249083Z test_comprehensive_true_divide_cpu_complex64 (__main__.TestDecompCPU) ... ok (2.476s) 2022-11-23T01:37:01.2249219Z test_comprehensive_true_divide_cpu_float16 (__main__.TestDecompCPU) ... ok (0.064s) 2022-11-23T01:37:01.2249402Z test_comprehensive_true_divide_cpu_float32 (__main__.TestDecompCPU) ... ok (1.167s) 2022-11-23T01:37:01.2249545Z test_comprehensive_true_divide_cpu_float64 (__main__.TestDecompCPU) ... ok (1.151s) 2022-11-23T01:37:01.2249689Z test_comprehensive_true_divide_cpu_int16 (__main__.TestDecompCPU) ... ok (0.070s) 2022-11-23T01:37:01.2249829Z test_comprehensive_true_divide_cpu_int32 (__main__.TestDecompCPU) ... ok (0.070s) 2022-11-23T01:37:01.2249967Z test_comprehensive_true_divide_cpu_int64 (__main__.TestDecompCPU) ... ok (0.070s) 2022-11-23T01:37:01.2250112Z test_comprehensive_true_divide_cpu_int8 (__main__.TestDecompCPU) ... ok (0.070s) 2022-11-23T01:37:01.2250281Z test_comprehensive_true_divide_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.070s) 2022-11-23T01:37:01.2250411Z test_comprehensive_trunc_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2250550Z test_comprehensive_trunc_cpu_float32 (__main__.TestDecompCPU) ... ok (0.030s) 2022-11-23T01:37:01.2250691Z test_comprehensive_trunc_cpu_float64 (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.2250827Z test_comprehensive_trunc_cpu_int16 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.2250965Z test_comprehensive_trunc_cpu_int32 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.2251101Z test_comprehensive_trunc_cpu_int64 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.2251237Z test_comprehensive_trunc_cpu_int8 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.2251373Z test_comprehensive_trunc_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2251507Z test_comprehensive_unbind_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2251647Z test_comprehensive_unbind_cpu_bool (__main__.TestDecompCPU) ... ok (0.069s) 2022-11-23T01:37:01.2251792Z test_comprehensive_unbind_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.315s) 2022-11-23T01:37:01.2251938Z test_comprehensive_unbind_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.219s) 2022-11-23T01:37:01.2252082Z test_comprehensive_unbind_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.307s) 2022-11-23T01:37:01.2252224Z test_comprehensive_unbind_cpu_float16 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.2252365Z test_comprehensive_unbind_cpu_float32 (__main__.TestDecompCPU) ... ok (0.171s) 2022-11-23T01:37:01.2252506Z test_comprehensive_unbind_cpu_float64 (__main__.TestDecompCPU) ... ok (0.164s) 2022-11-23T01:37:01.2252633Z test_comprehensive_unbind_cpu_int16 (__main__.TestDecompCPU) ... ok (0.069s) 2022-11-23T01:37:01.2252773Z test_comprehensive_unbind_cpu_int32 (__main__.TestDecompCPU) ... ok (0.069s) 2022-11-23T01:37:01.2252913Z test_comprehensive_unbind_cpu_int64 (__main__.TestDecompCPU) ... ok (0.067s) 2022-11-23T01:37:01.2253051Z test_comprehensive_unbind_cpu_int8 (__main__.TestDecompCPU) ... ok (0.069s) 2022-11-23T01:37:01.2253187Z test_comprehensive_unbind_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.069s) 2022-11-23T01:37:01.2253336Z test_comprehensive_unflatten_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2253478Z test_comprehensive_unflatten_cpu_bool (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2253628Z test_comprehensive_unflatten_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.116s) 2022-11-23T01:37:01.2253777Z test_comprehensive_unflatten_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.058s) 2022-11-23T01:37:01.2253909Z test_comprehensive_unflatten_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.120s) 2022-11-23T01:37:01.2254055Z test_comprehensive_unflatten_cpu_float16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2254198Z test_comprehensive_unflatten_cpu_float32 (__main__.TestDecompCPU) ... ok (0.073s) 2022-11-23T01:37:01.2254337Z test_comprehensive_unflatten_cpu_float64 (__main__.TestDecompCPU) ... ok (0.071s) 2022-11-23T01:37:01.2254478Z test_comprehensive_unflatten_cpu_int16 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2254648Z test_comprehensive_unflatten_cpu_int32 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2254790Z test_comprehensive_unflatten_cpu_int64 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2254931Z test_comprehensive_unflatten_cpu_int8 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2255060Z test_comprehensive_unflatten_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2255208Z test_comprehensive_unfold_copy_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.041s) 2022-11-23T01:37:01.2255354Z test_comprehensive_unfold_copy_cpu_bool (__main__.TestDecompCPU) ... ok (0.369s) 2022-11-23T01:37:01.2255533Z test_comprehensive_unfold_copy_cpu_complex128 (__main__.TestDecompCPU) ... ok (2.459s) 2022-11-23T01:37:01.2255684Z test_comprehensive_unfold_copy_cpu_complex32 (__main__.TestDecompCPU) ... ok (1.000s) 2022-11-23T01:37:01.2255835Z test_comprehensive_unfold_copy_cpu_complex64 (__main__.TestDecompCPU) ... ok (2.436s) 2022-11-23T01:37:01.2255985Z test_comprehensive_unfold_copy_cpu_float16 (__main__.TestDecompCPU) ... ok (0.035s) 2022-11-23T01:37:01.2256128Z test_comprehensive_unfold_copy_cpu_float32 (__main__.TestDecompCPU) ... ok (1.337s) 2022-11-23T01:37:01.2256257Z test_comprehensive_unfold_copy_cpu_float64 (__main__.TestDecompCPU) ... ok (1.331s) 2022-11-23T01:37:01.2256402Z test_comprehensive_unfold_copy_cpu_int16 (__main__.TestDecompCPU) ... ok (0.360s) 2022-11-23T01:37:01.2256542Z test_comprehensive_unfold_copy_cpu_int32 (__main__.TestDecompCPU) ... ok (0.360s) 2022-11-23T01:37:01.2256680Z test_comprehensive_unfold_copy_cpu_int64 (__main__.TestDecompCPU) ... ok (0.358s) 2022-11-23T01:37:01.2256826Z test_comprehensive_unfold_copy_cpu_int8 (__main__.TestDecompCPU) ... ok (0.359s) 2022-11-23T01:37:01.2256966Z test_comprehensive_unfold_copy_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.360s) 2022-11-23T01:37:01.2257108Z test_comprehensive_unfold_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.033s) 2022-11-23T01:37:01.2257247Z test_comprehensive_unfold_cpu_bool (__main__.TestDecompCPU) ... ok (0.359s) 2022-11-23T01:37:01.2257381Z test_comprehensive_unfold_cpu_complex128 (__main__.TestDecompCPU) ... ok (3.218s) 2022-11-23T01:37:01.2257523Z test_comprehensive_unfold_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.999s) 2022-11-23T01:37:01.2257666Z test_comprehensive_unfold_cpu_complex64 (__main__.TestDecompCPU) ... ok (2.547s) 2022-11-23T01:37:01.2257809Z test_comprehensive_unfold_cpu_float16 (__main__.TestDecompCPU) ... ok (0.034s) 2022-11-23T01:37:01.2257951Z test_comprehensive_unfold_cpu_float32 (__main__.TestDecompCPU) ... ok (1.365s) 2022-11-23T01:37:01.2258094Z test_comprehensive_unfold_cpu_float64 (__main__.TestDecompCPU) ... ok (1.340s) 2022-11-23T01:37:01.2258232Z test_comprehensive_unfold_cpu_int16 (__main__.TestDecompCPU) ... ok (0.361s) 2022-11-23T01:37:01.2258371Z test_comprehensive_unfold_cpu_int32 (__main__.TestDecompCPU) ... ok (0.359s) 2022-11-23T01:37:01.2258501Z test_comprehensive_unfold_cpu_int64 (__main__.TestDecompCPU) ... ok (0.359s) 2022-11-23T01:37:01.2258638Z test_comprehensive_unfold_cpu_int8 (__main__.TestDecompCPU) ... ok (0.359s) 2022-11-23T01:37:01.2258893Z test_comprehensive_unfold_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.359s) 2022-11-23T01:37:01.2259041Z test_comprehensive_uniform_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2259188Z test_comprehensive_uniform_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2259333Z test_comprehensive_uniform_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2259475Z test_comprehensive_uniform_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2259620Z test_comprehensive_uniform_cpu_float32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2259762Z test_comprehensive_uniform_cpu_float64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2259954Z test_comprehensive_unique_consecutive_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.051s) 2022-11-23T01:37:01.2260110Z test_comprehensive_unique_consecutive_cpu_bool (__main__.TestDecompCPU) ... ok (0.050s) 2022-11-23T01:37:01.2260266Z test_comprehensive_unique_consecutive_cpu_float32 (__main__.TestDecompCPU) ... ok (0.051s) 2022-11-23T01:37:01.2260421Z test_comprehensive_unique_consecutive_cpu_float64 (__main__.TestDecompCPU) ... ok (0.051s) 2022-11-23T01:37:01.2260574Z test_comprehensive_unique_consecutive_cpu_int16 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2260726Z test_comprehensive_unique_consecutive_cpu_int32 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2260913Z test_comprehensive_unique_consecutive_cpu_int64 (__main__.TestDecompCPU) ... ok (0.053s) 2022-11-23T01:37:01.2261065Z test_comprehensive_unique_consecutive_cpu_int8 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2261205Z test_comprehensive_unique_consecutive_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.053s) 2022-11-23T01:37:01.2261351Z test_comprehensive_unique_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.128s) 2022-11-23T01:37:01.2261488Z test_comprehensive_unique_cpu_bool (__main__.TestDecompCPU) ... ok (0.126s) 2022-11-23T01:37:01.2261629Z test_comprehensive_unique_cpu_float32 (__main__.TestDecompCPU) ... ok (0.127s) 2022-11-23T01:37:01.2261770Z test_comprehensive_unique_cpu_float64 (__main__.TestDecompCPU) ... ok (0.129s) 2022-11-23T01:37:01.2261908Z test_comprehensive_unique_cpu_int16 (__main__.TestDecompCPU) ... ok (0.130s) 2022-11-23T01:37:01.2262044Z test_comprehensive_unique_cpu_int32 (__main__.TestDecompCPU) ... ok (0.130s) 2022-11-23T01:37:01.2262182Z test_comprehensive_unique_cpu_int64 (__main__.TestDecompCPU) ... ok (0.131s) 2022-11-23T01:37:01.2262308Z test_comprehensive_unique_cpu_int8 (__main__.TestDecompCPU) ... ok (0.130s) 2022-11-23T01:37:01.2262444Z test_comprehensive_unique_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.130s) 2022-11-23T01:37:01.2262593Z test_comprehensive_unsqueeze_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2262736Z test_comprehensive_unsqueeze_cpu_bool (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2262886Z test_comprehensive_unsqueeze_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.106s) 2022-11-23T01:37:01.2263034Z test_comprehensive_unsqueeze_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.053s) 2022-11-23T01:37:01.2263178Z test_comprehensive_unsqueeze_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.109s) 2022-11-23T01:37:01.2263328Z test_comprehensive_unsqueeze_cpu_float16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2263471Z test_comprehensive_unsqueeze_cpu_float32 (__main__.TestDecompCPU) ... ok (0.065s) 2022-11-23T01:37:01.2263598Z test_comprehensive_unsqueeze_cpu_float64 (__main__.TestDecompCPU) ... ok (0.063s) 2022-11-23T01:37:01.2263739Z test_comprehensive_unsqueeze_cpu_int16 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2263883Z test_comprehensive_unsqueeze_cpu_int32 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2264025Z test_comprehensive_unsqueeze_cpu_int64 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2264167Z test_comprehensive_unsqueeze_cpu_int8 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2264306Z test_comprehensive_unsqueeze_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2264445Z test_comprehensive_var_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.042s) 2022-11-23T01:37:01.2264586Z test_comprehensive_var_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.548s) 2022-11-23T01:37:01.2264716Z test_comprehensive_var_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.561s) 2022-11-23T01:37:01.2264856Z test_comprehensive_var_cpu_float16 (__main__.TestDecompCPU) ... ok (0.046s) 2022-11-23T01:37:01.2264991Z test_comprehensive_var_cpu_float32 (__main__.TestDecompCPU) ... ok (0.328s) 2022-11-23T01:37:01.2265126Z test_comprehensive_var_cpu_float64 (__main__.TestDecompCPU) ... ok (0.320s) 2022-11-23T01:37:01.2265297Z test_comprehensive_var_mean_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.069s) 2022-11-23T01:37:01.2265445Z test_comprehensive_var_mean_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.063s) 2022-11-23T01:37:01.2265592Z test_comprehensive_var_mean_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.091s) 2022-11-23T01:37:01.2265735Z test_comprehensive_var_mean_cpu_float16 (__main__.TestDecompCPU) ... ok (0.074s) 2022-11-23T01:37:01.2265862Z test_comprehensive_var_mean_cpu_float32 (__main__.TestDecompCPU) ... ok (0.624s) 2022-11-23T01:37:01.2265997Z test_comprehensive_var_mean_cpu_float64 (__main__.TestDecompCPU) ... ok (0.608s) 2022-11-23T01:37:01.2266168Z test_comprehensive_vdot_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2266311Z test_comprehensive_vdot_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.2266454Z test_comprehensive_vdot_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.030s) 2022-11-23T01:37:01.2266595Z test_comprehensive_vdot_cpu_float32 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2266732Z test_comprehensive_vdot_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2266870Z test_comprehensive_vdot_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2266995Z test_comprehensive_vdot_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2267129Z test_comprehensive_vdot_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2267264Z test_comprehensive_vdot_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2267400Z test_comprehensive_vdot_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2267555Z test_comprehensive_view_as_complex_cpu_float16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2267705Z test_comprehensive_view_as_complex_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2267857Z test_comprehensive_view_as_complex_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2267999Z test_comprehensive_view_as_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2268202Z test_comprehensive_view_as_cpu_bool (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2268352Z test_comprehensive_view_as_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.068s) 2022-11-23T01:37:01.2268498Z test_comprehensive_view_as_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.036s) 2022-11-23T01:37:01.2268641Z test_comprehensive_view_as_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.071s) 2022-11-23T01:37:01.2268787Z test_comprehensive_view_as_cpu_float16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2268927Z test_comprehensive_view_as_cpu_float32 (__main__.TestDecompCPU) ... ok (0.040s) 2022-11-23T01:37:01.2269069Z test_comprehensive_view_as_cpu_float64 (__main__.TestDecompCPU) ... ok (0.039s) 2022-11-23T01:37:01.2269210Z test_comprehensive_view_as_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2269336Z test_comprehensive_view_as_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2269474Z test_comprehensive_view_as_cpu_int64 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2269614Z test_comprehensive_view_as_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2269750Z test_comprehensive_view_as_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2269901Z test_comprehensive_view_as_real_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2270052Z test_comprehensive_view_as_real_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2270202Z test_comprehensive_view_copy_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2270344Z test_comprehensive_view_copy_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2270489Z test_comprehensive_view_copy_cpu_float16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2270650Z test_comprehensive_view_copy_cpu_float32 (__main__.TestDecompCPU) ... ok (0.045s) 2022-11-23T01:37:01.2270790Z test_comprehensive_view_copy_cpu_float64 (__main__.TestDecompCPU) ... ok (0.044s) 2022-11-23T01:37:01.2270931Z test_comprehensive_view_copy_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2271071Z test_comprehensive_view_copy_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2271211Z test_comprehensive_view_copy_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2271352Z test_comprehensive_view_copy_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2271522Z test_comprehensive_view_copy_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2271662Z test_comprehensive_view_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2271787Z test_comprehensive_view_cpu_bool (__main__.TestDecompCPU) ... ok (0.028s) 2022-11-23T01:37:01.2271926Z test_comprehensive_view_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.154s) 2022-11-23T01:37:01.2272068Z test_comprehensive_view_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.079s) 2022-11-23T01:37:01.2272211Z test_comprehensive_view_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.157s) 2022-11-23T01:37:01.2272350Z test_comprehensive_view_cpu_float16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2272488Z test_comprehensive_view_cpu_float32 (__main__.TestDecompCPU) ... ok (0.087s) 2022-11-23T01:37:01.2272627Z test_comprehensive_view_cpu_float64 (__main__.TestDecompCPU) ... ok (0.087s) 2022-11-23T01:37:01.2272764Z test_comprehensive_view_cpu_int16 (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.2272887Z test_comprehensive_view_cpu_int32 (__main__.TestDecompCPU) ... ok (0.028s) 2022-11-23T01:37:01.2273020Z test_comprehensive_view_cpu_int64 (__main__.TestDecompCPU) ... ok (0.028s) 2022-11-23T01:37:01.2273156Z test_comprehensive_view_cpu_int8 (__main__.TestDecompCPU) ... ok (0.028s) 2022-11-23T01:37:01.2273287Z test_comprehensive_view_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.028s) 2022-11-23T01:37:01.2273429Z test_comprehensive_vsplit_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2273567Z test_comprehensive_vsplit_cpu_bool (__main__.TestDecompCPU) ... ok (0.025s) 2022-11-23T01:37:01.2273713Z test_comprehensive_vsplit_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.151s) 2022-11-23T01:37:01.2273860Z test_comprehensive_vsplit_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.070s) 2022-11-23T01:37:01.2273990Z test_comprehensive_vsplit_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.155s) 2022-11-23T01:37:01.2274134Z test_comprehensive_vsplit_cpu_float16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2274274Z test_comprehensive_vsplit_cpu_float32 (__main__.TestDecompCPU) ... ok (0.088s) 2022-11-23T01:37:01.2274414Z test_comprehensive_vsplit_cpu_float64 (__main__.TestDecompCPU) ... ok (0.087s) 2022-11-23T01:37:01.2274555Z test_comprehensive_vsplit_cpu_int16 (__main__.TestDecompCPU) ... ok (0.025s) 2022-11-23T01:37:01.2274692Z test_comprehensive_vsplit_cpu_int32 (__main__.TestDecompCPU) ... ok (0.025s) 2022-11-23T01:37:01.2274829Z test_comprehensive_vsplit_cpu_int64 (__main__.TestDecompCPU) ... ok (0.025s) 2022-11-23T01:37:01.2274965Z test_comprehensive_vsplit_cpu_int8 (__main__.TestDecompCPU) ... ok (0.025s) 2022-11-23T01:37:01.2275088Z test_comprehensive_vsplit_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.025s) 2022-11-23T01:37:01.2275228Z test_comprehensive_vstack_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2275366Z test_comprehensive_vstack_cpu_bool (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2275514Z test_comprehensive_vstack_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.076s) 2022-11-23T01:37:01.2275657Z test_comprehensive_vstack_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.030s) 2022-11-23T01:37:01.2275825Z test_comprehensive_vstack_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.079s) 2022-11-23T01:37:01.2275967Z test_comprehensive_vstack_cpu_float16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2276108Z test_comprehensive_vstack_cpu_float32 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2276234Z test_comprehensive_vstack_cpu_float64 (__main__.TestDecompCPU) ... ok (0.044s) 2022-11-23T01:37:01.2276371Z test_comprehensive_vstack_cpu_int16 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2276507Z test_comprehensive_vstack_cpu_int32 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2276694Z test_comprehensive_vstack_cpu_int64 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2276830Z test_comprehensive_vstack_cpu_int8 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2276966Z test_comprehensive_vstack_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2277108Z test_comprehensive_where_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2277244Z test_comprehensive_where_cpu_bool (__main__.TestDecompCPU) ... ok (0.044s) 2022-11-23T01:37:01.2277377Z test_comprehensive_where_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.809s) 2022-11-23T01:37:01.2277519Z test_comprehensive_where_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.102s) 2022-11-23T01:37:01.2277658Z test_comprehensive_where_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.820s) 2022-11-23T01:37:01.2277797Z test_comprehensive_where_cpu_float16 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2277939Z test_comprehensive_where_cpu_float32 (__main__.TestDecompCPU) ... ok (0.454s) 2022-11-23T01:37:01.2278079Z test_comprehensive_where_cpu_float64 (__main__.TestDecompCPU) ... ok (0.455s) 2022-11-23T01:37:01.2278216Z test_comprehensive_where_cpu_int16 (__main__.TestDecompCPU) ... ok (0.044s) 2022-11-23T01:37:01.2278352Z test_comprehensive_where_cpu_int32 (__main__.TestDecompCPU) ... ok (0.044s) 2022-11-23T01:37:01.2278486Z test_comprehensive_where_cpu_int64 (__main__.TestDecompCPU) ... ok (0.044s) 2022-11-23T01:37:01.2278610Z test_comprehensive_where_cpu_int8 (__main__.TestDecompCPU) ... ok (0.044s) 2022-11-23T01:37:01.2278744Z test_comprehensive_where_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.044s) 2022-11-23T01:37:01.2278885Z test_comprehensive_xlogy_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.115s) 2022-11-23T01:37:01.2279024Z test_comprehensive_xlogy_cpu_bool (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2279164Z test_comprehensive_xlogy_cpu_float16 (__main__.TestDecompCPU) ... ok (0.118s) 2022-11-23T01:37:01.2279305Z test_comprehensive_xlogy_cpu_float32 (__main__.TestDecompCPU) ... ok (0.902s) 2022-11-23T01:37:01.2279445Z test_comprehensive_xlogy_cpu_float64 (__main__.TestDecompCPU) ... ok (0.886s) 2022-11-23T01:37:01.2279577Z test_comprehensive_xlogy_cpu_int16 (__main__.TestDecompCPU) ... ok (0.053s) 2022-11-23T01:37:01.2279703Z test_comprehensive_xlogy_cpu_int32 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2279835Z test_comprehensive_xlogy_cpu_int64 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2279970Z test_comprehensive_xlogy_cpu_int8 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2280103Z test_comprehensive_xlogy_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2280244Z test_comprehensive_zero__cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2280380Z test_comprehensive_zero__cpu_bool (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2280525Z test_comprehensive_zero__cpu_complex128 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2280667Z test_comprehensive_zero__cpu_complex64 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.2280793Z test_comprehensive_zero__cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2280929Z test_comprehensive_zero__cpu_float32 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2281092Z test_comprehensive_zero__cpu_float64 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2281229Z test_comprehensive_zero__cpu_int16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2281365Z test_comprehensive_zero__cpu_int32 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2281499Z test_comprehensive_zero__cpu_int64 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2281634Z test_comprehensive_zero__cpu_int8 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2281769Z test_comprehensive_zero__cpu_uint8 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2281927Z test_comprehensive_zeros_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2282067Z test_comprehensive_zeros_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2282215Z test_comprehensive_zeros_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2282362Z test_comprehensive_zeros_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2282506Z test_comprehensive_zeros_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2282648Z test_comprehensive_zeros_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2282790Z test_comprehensive_zeros_cpu_float32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2282930Z test_comprehensive_zeros_cpu_float64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2283055Z test_comprehensive_zeros_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2283191Z test_comprehensive_zeros_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2283329Z test_comprehensive_zeros_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2283469Z test_comprehensive_zeros_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2283605Z test_comprehensive_zeros_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2283755Z test_comprehensive_zeros_like_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2283901Z test_comprehensive_zeros_like_cpu_bool (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2284053Z test_comprehensive_zeros_like_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2284191Z test_comprehensive_zeros_like_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2284341Z test_comprehensive_zeros_like_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2284489Z test_comprehensive_zeros_like_cpu_float16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2284635Z test_comprehensive_zeros_like_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2284778Z test_comprehensive_zeros_like_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2284923Z test_comprehensive_zeros_like_cpu_int16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2285067Z test_comprehensive_zeros_like_cpu_int32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2285206Z test_comprehensive_zeros_like_cpu_int64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2285335Z test_comprehensive_zeros_like_cpu_int8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2285479Z test_comprehensive_zeros_like_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2285699Z test_quick__softmax_backward_data_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: _softmax_backward_data in torch.bfloat16 not supported (0.001s) 2022-11-23T01:37:01.2285854Z test_quick__softmax_backward_data_cpu_float32 (__main__.TestDecompCPU) ... ok (0.038s) 2022-11-23T01:37:01.2286007Z test_quick__softmax_backward_data_cpu_float64 (__main__.TestDecompCPU) ... ok (0.038s) 2022-11-23T01:37:01.2286141Z test_quick_abs_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2286313Z test_quick_abs_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.039s) 2022-11-23T01:37:01.2286447Z test_quick_abs_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.041s) 2022-11-23T01:37:01.2286581Z test_quick_abs_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.040s) 2022-11-23T01:37:01.2286698Z test_quick_abs_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2286823Z test_quick_abs_cpu_float32 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.2286945Z test_quick_abs_cpu_float64 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2287071Z test_quick_abs_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2287222Z test_quick_abs_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2287340Z test_quick_abs_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2287465Z test_quick_abs_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2287586Z test_quick_abs_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2287706Z test_quick_acos_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2287831Z test_quick_acos_cpu_bool (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2287966Z test_quick_acos_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2288100Z test_quick_acos_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2288230Z test_quick_acos_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2288360Z test_quick_acos_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2288486Z test_quick_acos_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2288600Z test_quick_acos_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2288721Z test_quick_acos_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2288843Z test_quick_acos_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2288970Z test_quick_acos_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2289103Z test_quick_acosh_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2289229Z test_quick_acosh_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2289363Z test_quick_acosh_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2289498Z test_quick_acosh_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2289615Z test_quick_acosh_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2289746Z test_quick_acosh_cpu_float64 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2289875Z test_quick_acosh_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2289998Z test_quick_acosh_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2290121Z test_quick_acosh_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2290247Z test_quick_acosh_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2290371Z test_quick_acosh_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2290498Z test_quick_add_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2290610Z test_quick_add_cpu_bool (__main__.TestDecompCPU) ... ok (0.054s) 2022-11-23T01:37:01.2290740Z test_quick_add_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.156s) 2022-11-23T01:37:01.2290871Z test_quick_add_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.161s) 2022-11-23T01:37:01.2291002Z test_quick_add_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.158s) 2022-11-23T01:37:01.2291129Z test_quick_add_cpu_float16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2291256Z test_quick_add_cpu_float32 (__main__.TestDecompCPU) ... ok (0.088s) 2022-11-23T01:37:01.2291376Z test_quick_add_cpu_float64 (__main__.TestDecompCPU) ... ok (0.086s) 2022-11-23T01:37:01.2291498Z test_quick_add_cpu_int16 (__main__.TestDecompCPU) ... ok (0.053s) 2022-11-23T01:37:01.2291634Z test_quick_add_cpu_int32 (__main__.TestDecompCPU) ... ok (0.054s) 2022-11-23T01:37:01.2291755Z test_quick_add_cpu_int64 (__main__.TestDecompCPU) ... ok (0.053s) 2022-11-23T01:37:01.2291876Z test_quick_add_cpu_int8 (__main__.TestDecompCPU) ... ok (0.053s) 2022-11-23T01:37:01.2291997Z test_quick_add_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.053s) 2022-11-23T01:37:01.2292130Z test_quick_addcdiv_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2292267Z test_quick_addcdiv_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.110s) 2022-11-23T01:37:01.2292430Z test_quick_addcdiv_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.115s) 2022-11-23T01:37:01.2292563Z test_quick_addcdiv_cpu_float32 (__main__.TestDecompCPU) ... ok (0.066s) 2022-11-23T01:37:01.2292686Z test_quick_addcdiv_cpu_float64 (__main__.TestDecompCPU) ... ok (0.064s) 2022-11-23T01:37:01.2292817Z test_quick_addcmul_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2292957Z test_quick_addcmul_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.111s) 2022-11-23T01:37:01.2293090Z test_quick_addcmul_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.115s) 2022-11-23T01:37:01.2293219Z test_quick_addcmul_cpu_float32 (__main__.TestDecompCPU) ... ok (0.066s) 2022-11-23T01:37:01.2293347Z test_quick_addcmul_cpu_float64 (__main__.TestDecompCPU) ... ok (0.063s) 2022-11-23T01:37:01.2293476Z test_quick_addcmul_cpu_int16 (__main__.TestDecompCPU) ... ok (0.032s) 2022-11-23T01:37:01.2293604Z test_quick_addcmul_cpu_int32 (__main__.TestDecompCPU) ... ok (0.032s) 2022-11-23T01:37:01.2293725Z test_quick_addcmul_cpu_int64 (__main__.TestDecompCPU) ... ok (0.031s) 2022-11-23T01:37:01.2293852Z test_quick_addcmul_cpu_int8 (__main__.TestDecompCPU) ... ok (0.032s) 2022-11-23T01:37:01.2293980Z test_quick_addcmul_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.032s) 2022-11-23T01:37:01.2294114Z test_quick_addmm_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2294250Z test_quick_addmm_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.038s) 2022-11-23T01:37:01.2294381Z test_quick_addmm_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.041s) 2022-11-23T01:37:01.2294511Z test_quick_addmm_cpu_float32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2294636Z test_quick_addmm_cpu_float64 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2294750Z test_quick_addmm_cpu_int16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2294871Z test_quick_addmm_cpu_int32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2294995Z test_quick_addmm_cpu_int64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2295122Z test_quick_addmm_cpu_int8 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2295243Z test_quick_addmm_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2295393Z test_quick_addmm_decomposed_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2295543Z test_quick_addmm_decomposed_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.038s) 2022-11-23T01:37:01.2295679Z test_quick_addmm_decomposed_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.040s) 2022-11-23T01:37:01.2295821Z test_quick_addmm_decomposed_cpu_float32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2295961Z test_quick_addmm_decomposed_cpu_float64 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2296102Z test_quick_addmm_decomposed_cpu_int16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2296243Z test_quick_addmm_decomposed_cpu_int32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2296385Z test_quick_addmm_decomposed_cpu_int64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2296525Z test_quick_addmm_decomposed_cpu_int8 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2296664Z test_quick_addmm_decomposed_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2296819Z test_quick_addr_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2296933Z test_quick_addr_cpu_bool (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2297063Z test_quick_addr_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.038s) 2022-11-23T01:37:01.2297194Z test_quick_addr_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.040s) 2022-11-23T01:37:01.2297322Z test_quick_addr_cpu_float16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2297449Z test_quick_addr_cpu_float32 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.2297577Z test_quick_addr_cpu_float64 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2297733Z test_quick_addr_cpu_int16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2297842Z test_quick_addr_cpu_int32 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2297961Z test_quick_addr_cpu_int64 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2298085Z test_quick_addr_cpu_int8 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2298209Z test_quick_addr_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2298338Z test_quick_all_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.2298461Z test_quick_all_cpu_bool (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2298590Z test_quick_all_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.043s) 2022-11-23T01:37:01.2298721Z test_quick_all_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.045s) 2022-11-23T01:37:01.2299051Z test_quick_all_cpu_float16 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.2299180Z test_quick_all_cpu_float32 (__main__.TestDecompCPU) ... ok (0.030s) 2022-11-23T01:37:01.2299301Z test_quick_all_cpu_float64 (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.2299423Z test_quick_all_cpu_int16 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2299542Z test_quick_all_cpu_int32 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.2299664Z test_quick_all_cpu_int64 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.2299787Z test_quick_all_cpu_int8 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.2299908Z test_quick_all_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2300024Z test_quick_amax_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2300151Z test_quick_amax_cpu_bool (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.2300341Z test_quick_amax_cpu_float16 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.2300504Z test_quick_amax_cpu_float32 (__main__.TestDecompCPU) ... ok (0.044s) 2022-11-23T01:37:01.2300635Z test_quick_amax_cpu_float64 (__main__.TestDecompCPU) ... ok (0.042s) 2022-11-23T01:37:01.2300762Z test_quick_amax_cpu_int16 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.2300884Z test_quick_amax_cpu_int32 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.2301005Z test_quick_amax_cpu_int64 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.2301115Z test_quick_amax_cpu_int8 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.2301236Z test_quick_amax_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.2301363Z test_quick_amin_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2301483Z test_quick_amin_cpu_bool (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.2312231Z test_quick_amin_cpu_float16 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.2312424Z test_quick_amin_cpu_float32 (__main__.TestDecompCPU) ... ok (0.044s) 2022-11-23T01:37:01.2312569Z test_quick_amin_cpu_float64 (__main__.TestDecompCPU) ... ok (0.042s) 2022-11-23T01:37:01.2312701Z test_quick_amin_cpu_int16 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.2312829Z test_quick_amin_cpu_int32 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.2313074Z test_quick_amin_cpu_int64 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.2313188Z test_quick_amin_cpu_int8 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.2313309Z test_quick_amin_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.2313439Z test_quick_any_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2313565Z test_quick_any_cpu_bool (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2313700Z test_quick_any_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.043s) 2022-11-23T01:37:01.2313831Z test_quick_any_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.044s) 2022-11-23T01:37:01.2314005Z test_quick_any_cpu_float16 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2314132Z test_quick_any_cpu_float32 (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.2314242Z test_quick_any_cpu_float64 (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.2314367Z test_quick_any_cpu_int16 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.2314491Z test_quick_any_cpu_int32 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.2314614Z test_quick_any_cpu_int64 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.2314741Z test_quick_any_cpu_int8 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.2314861Z test_quick_any_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.2314996Z test_quick_arange_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2315130Z test_quick_arange_cpu_float16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2315248Z test_quick_arange_cpu_float32 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.2315381Z test_quick_arange_cpu_float64 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.2315512Z test_quick_arange_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2315641Z test_quick_arange_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2315772Z test_quick_arange_cpu_int64 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2315901Z test_quick_arange_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2316028Z test_quick_arange_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2316146Z test_quick_asin_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2316270Z test_quick_asin_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2316403Z test_quick_asin_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.039s) 2022-11-23T01:37:01.2316535Z test_quick_asin_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.040s) 2022-11-23T01:37:01.2316665Z test_quick_asin_cpu_float32 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.2316793Z test_quick_asin_cpu_float64 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2316919Z test_quick_asin_cpu_int16 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2317044Z test_quick_asin_cpu_int32 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2317151Z test_quick_asin_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2317274Z test_quick_asin_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2317394Z test_quick_asin_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2317525Z test_quick_asinh_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2317652Z test_quick_asinh_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2317787Z test_quick_asinh_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.039s) 2022-11-23T01:37:01.2317923Z test_quick_asinh_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.040s) 2022-11-23T01:37:01.2318053Z test_quick_asinh_cpu_float32 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2318169Z test_quick_asinh_cpu_float64 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2318297Z test_quick_asinh_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2318448Z test_quick_asinh_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2318573Z test_quick_asinh_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2318700Z test_quick_asinh_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2318823Z test_quick_asinh_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2318954Z test_quick_atan2_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2319083Z test_quick_atan2_cpu_bool (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2319228Z test_quick_atan2_cpu_float32 (__main__.TestDecompCPU) ... ok (0.078s) 2022-11-23T01:37:01.2319354Z test_quick_atan2_cpu_float64 (__main__.TestDecompCPU) ... ok (0.077s) 2022-11-23T01:37:01.2319482Z test_quick_atan2_cpu_int16 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2319606Z test_quick_atan2_cpu_int32 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2319729Z test_quick_atan2_cpu_int64 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2319856Z test_quick_atan2_cpu_int8 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2319978Z test_quick_atan2_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2320107Z test_quick_atan_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2320219Z test_quick_atan_cpu_bool (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2320352Z test_quick_atan_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.040s) 2022-11-23T01:37:01.2320486Z test_quick_atan_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.040s) 2022-11-23T01:37:01.2320618Z test_quick_atan_cpu_float32 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.2320747Z test_quick_atan_cpu_float64 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2320873Z test_quick_atan_cpu_int16 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2320997Z test_quick_atan_cpu_int32 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2321105Z test_quick_atan_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2321229Z test_quick_atan_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2321351Z test_quick_atan_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2321483Z test_quick_atanh_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2321611Z test_quick_atanh_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2321745Z test_quick_atanh_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.039s) 2022-11-23T01:37:01.2321881Z test_quick_atanh_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.040s) 2022-11-23T01:37:01.2322011Z test_quick_atanh_cpu_float32 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2322127Z test_quick_atanh_cpu_float64 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2322257Z test_quick_atanh_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2322380Z test_quick_atanh_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2322503Z test_quick_atanh_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2322631Z test_quick_atanh_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2322754Z test_quick_atanh_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2322888Z test_quick_bitwise_and_cpu_bool (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2323022Z test_quick_bitwise_and_cpu_int16 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2323144Z test_quick_bitwise_and_cpu_int32 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2323275Z test_quick_bitwise_and_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2323407Z test_quick_bitwise_and_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2323561Z test_quick_bitwise_and_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2323708Z test_quick_bitwise_left_shift_cpu_int16 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2323847Z test_quick_bitwise_left_shift_cpu_int32 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2323981Z test_quick_bitwise_left_shift_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2324120Z test_quick_bitwise_left_shift_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2324249Z test_quick_bitwise_left_shift_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2324380Z test_quick_bitwise_not_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2324540Z test_quick_bitwise_not_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2324673Z test_quick_bitwise_not_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2324803Z test_quick_bitwise_not_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2324937Z test_quick_bitwise_not_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2325066Z test_quick_bitwise_not_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2325197Z test_quick_bitwise_or_cpu_bool (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2325312Z test_quick_bitwise_or_cpu_int16 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2325443Z test_quick_bitwise_or_cpu_int32 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2325571Z test_quick_bitwise_or_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2325704Z test_quick_bitwise_or_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2325833Z test_quick_bitwise_or_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2325980Z test_quick_bitwise_right_shift_cpu_int16 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2326122Z test_quick_bitwise_right_shift_cpu_int32 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2326259Z test_quick_bitwise_right_shift_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2326389Z test_quick_bitwise_right_shift_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2326526Z test_quick_bitwise_right_shift_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2326661Z test_quick_bitwise_xor_cpu_bool (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2326793Z test_quick_bitwise_xor_cpu_int16 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2326925Z test_quick_bitwise_xor_cpu_int32 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2327058Z test_quick_bitwise_xor_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2327188Z test_quick_bitwise_xor_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2327318Z test_quick_bitwise_xor_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2327444Z test_quick_bucketize_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.061s) 2022-11-23T01:37:01.2327576Z test_quick_bucketize_cpu_float16 (__main__.TestDecompCPU) ... ok (0.062s) 2022-11-23T01:37:01.2327707Z test_quick_bucketize_cpu_float32 (__main__.TestDecompCPU) ... ok (0.103s) 2022-11-23T01:37:01.2327836Z test_quick_bucketize_cpu_float64 (__main__.TestDecompCPU) ... ok (0.100s) 2022-11-23T01:37:01.2327968Z test_quick_bucketize_cpu_int16 (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.2328099Z test_quick_bucketize_cpu_int32 (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.2328230Z test_quick_bucketize_cpu_int64 (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.2328364Z test_quick_bucketize_cpu_int8 (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.2328480Z test_quick_bucketize_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.2328611Z test_quick_cat_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2328764Z test_quick_cat_cpu_bool (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2328901Z test_quick_cat_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.054s) 2022-11-23T01:37:01.2329033Z test_quick_cat_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.056s) 2022-11-23T01:37:01.2329164Z test_quick_cat_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.057s) 2022-11-23T01:37:01.2329292Z test_quick_cat_cpu_float16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2329417Z test_quick_cat_cpu_float32 (__main__.TestDecompCPU) ... ok (0.033s) 2022-11-23T01:37:01.2329524Z test_quick_cat_cpu_float64 (__main__.TestDecompCPU) ... ok (0.032s) 2022-11-23T01:37:01.2329680Z test_quick_cat_cpu_int16 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.2329804Z test_quick_cat_cpu_int32 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.2329923Z test_quick_cat_cpu_int64 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2330048Z test_quick_cat_cpu_int8 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2330167Z test_quick_cat_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2330296Z test_quick_ceil_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2330426Z test_quick_ceil_cpu_float32 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.2330541Z test_quick_ceil_cpu_float64 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2330668Z test_quick_ceil_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2330793Z test_quick_ceil_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2330916Z test_quick_ceil_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2331041Z test_quick_ceil_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2331163Z test_quick_ceil_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2331296Z test_quick_clamp_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2331427Z test_quick_clamp_cpu_float32 (__main__.TestDecompCPU) ... ok (0.140s) 2022-11-23T01:37:01.2331544Z test_quick_clamp_cpu_float64 (__main__.TestDecompCPU) ... ok (0.137s) 2022-11-23T01:37:01.2331671Z test_quick_clamp_cpu_int16 (__main__.TestDecompCPU) ... ok (0.093s) 2022-11-23T01:37:01.2331795Z test_quick_clamp_cpu_int32 (__main__.TestDecompCPU) ... ok (0.092s) 2022-11-23T01:37:01.2331916Z test_quick_clamp_cpu_int64 (__main__.TestDecompCPU) ... ok (0.092s) 2022-11-23T01:37:01.2332042Z test_quick_clamp_cpu_int8 (__main__.TestDecompCPU) ... ok (0.092s) 2022-11-23T01:37:01.2332165Z test_quick_clamp_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.091s) 2022-11-23T01:37:01.2332305Z test_quick_clamp_max_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2332435Z test_quick_clamp_max_cpu_bool (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.2332557Z test_quick_clamp_max_cpu_float16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2332693Z test_quick_clamp_max_cpu_float32 (__main__.TestDecompCPU) ... ok (0.077s) 2022-11-23T01:37:01.2332824Z test_quick_clamp_max_cpu_float64 (__main__.TestDecompCPU) ... ok (0.075s) 2022-11-23T01:37:01.2332956Z test_quick_clamp_max_cpu_int16 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.2333087Z test_quick_clamp_max_cpu_int32 (__main__.TestDecompCPU) ... ok (0.046s) 2022-11-23T01:37:01.2333216Z test_quick_clamp_max_cpu_int64 (__main__.TestDecompCPU) ... ok (0.046s) 2022-11-23T01:37:01.2333348Z test_quick_clamp_max_cpu_int8 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.2333479Z test_quick_clamp_max_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.2333603Z test_quick_clamp_min_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2333731Z test_quick_clamp_min_cpu_bool (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.2333865Z test_quick_clamp_min_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2334036Z test_quick_clamp_min_cpu_float32 (__main__.TestDecompCPU) ... ok (0.078s) 2022-11-23T01:37:01.2334168Z test_quick_clamp_min_cpu_float64 (__main__.TestDecompCPU) ... ok (0.075s) 2022-11-23T01:37:01.2334297Z test_quick_clamp_min_cpu_int16 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.2334427Z test_quick_clamp_min_cpu_int32 (__main__.TestDecompCPU) ... ok (0.046s) 2022-11-23T01:37:01.2334556Z test_quick_clamp_min_cpu_int64 (__main__.TestDecompCPU) ... ok (0.046s) 2022-11-23T01:37:01.2334672Z test_quick_clamp_min_cpu_int8 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.2334828Z test_quick_clamp_min_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.2334957Z test_quick_clone_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2335085Z test_quick_clone_cpu_bool (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2335220Z test_quick_clone_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.030s) 2022-11-23T01:37:01.2335352Z test_quick_clone_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.031s) 2022-11-23T01:37:01.2335483Z test_quick_clone_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.031s) 2022-11-23T01:37:01.2335599Z test_quick_clone_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2335728Z test_quick_clone_cpu_float32 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2335857Z test_quick_clone_cpu_float64 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.2335983Z test_quick_clone_cpu_int16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2336109Z test_quick_clone_cpu_int32 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2336230Z test_quick_clone_cpu_int64 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2336356Z test_quick_clone_cpu_int8 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2336479Z test_quick_clone_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2336597Z test_quick_complex_cpu_float16 (__main__.TestDecompCPU) ... ok (0.045s) 2022-11-23T01:37:01.2336728Z test_quick_complex_cpu_float32 (__main__.TestDecompCPU) ... ok (0.078s) 2022-11-23T01:37:01.2336857Z test_quick_complex_cpu_float64 (__main__.TestDecompCPU) ... ok (0.076s) 2022-11-23T01:37:01.2337002Z test_quick_conj_physical_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2337408Z test_quick_conj_physical_cpu_bool (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2337554Z test_quick_conj_physical_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2337880Z test_quick_conj_physical_cpu_complex32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2338028Z test_quick_conj_physical_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2338172Z test_quick_conj_physical_cpu_float16 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2338300Z test_quick_conj_physical_cpu_float32 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2338439Z test_quick_conj_physical_cpu_float64 (__main__.TestDecompCPU) ... ok (0.001s) 2022-11-23T01:37:01.2338878Z test_quick_conj_physical_cpu_int16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2339188Z test_quick_conj_physical_cpu_int32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2339492Z test_quick_conj_physical_cpu_int64 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2339798Z test_quick_conj_physical_cpu_int8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2340140Z test_quick_conj_physical_cpu_uint8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2340289Z test_quick_constant_pad_nd_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.032s) 2022-11-23T01:37:01.2340429Z test_quick_constant_pad_nd_cpu_bool (__main__.TestDecompCPU) ... ok (0.139s) 2022-11-23T01:37:01.2340565Z test_quick_constant_pad_nd_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.358s) 2022-11-23T01:37:01.2340712Z test_quick_constant_pad_nd_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.365s) 2022-11-23T01:37:01.2340853Z test_quick_constant_pad_nd_cpu_float16 (__main__.TestDecompCPU) ... ok (0.032s) 2022-11-23T01:37:01.2341032Z test_quick_constant_pad_nd_cpu_float32 (__main__.TestDecompCPU) ... ok (0.218s) 2022-11-23T01:37:01.2341173Z test_quick_constant_pad_nd_cpu_float64 (__main__.TestDecompCPU) ... ok (0.212s) 2022-11-23T01:37:01.2341314Z test_quick_constant_pad_nd_cpu_int16 (__main__.TestDecompCPU) ... ok (0.140s) 2022-11-23T01:37:01.2341454Z test_quick_constant_pad_nd_cpu_int32 (__main__.TestDecompCPU) ... ok (0.140s) 2022-11-23T01:37:01.2341593Z test_quick_constant_pad_nd_cpu_int64 (__main__.TestDecompCPU) ... ok (0.138s) 2022-11-23T01:37:01.2341720Z test_quick_constant_pad_nd_cpu_int8 (__main__.TestDecompCPU) ... ok (0.140s) 2022-11-23T01:37:01.2341858Z test_quick_constant_pad_nd_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.139s) 2022-11-23T01:37:01.2341993Z test_quick_copysign_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2342124Z test_quick_copysign_cpu_bool (__main__.TestDecompCPU) ... ok (0.055s) 2022-11-23T01:37:01.2342262Z test_quick_copysign_cpu_float16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2342398Z test_quick_copysign_cpu_float32 (__main__.TestDecompCPU) ... ok (0.083s) 2022-11-23T01:37:01.2342529Z test_quick_copysign_cpu_float64 (__main__.TestDecompCPU) ... ok (0.081s) 2022-11-23T01:37:01.2342661Z test_quick_copysign_cpu_int16 (__main__.TestDecompCPU) ... ok (0.056s) 2022-11-23T01:37:01.2342782Z test_quick_copysign_cpu_int32 (__main__.TestDecompCPU) ... ok (0.056s) 2022-11-23T01:37:01.2342915Z test_quick_copysign_cpu_int64 (__main__.TestDecompCPU) ... ok (0.056s) 2022-11-23T01:37:01.2343045Z test_quick_copysign_cpu_int8 (__main__.TestDecompCPU) ... ok (0.056s) 2022-11-23T01:37:01.2343174Z test_quick_copysign_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.056s) 2022-11-23T01:37:01.2343303Z test_quick_cos_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2343430Z test_quick_cos_cpu_bool (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2343560Z test_quick_cos_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2343691Z test_quick_cos_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2343805Z test_quick_cos_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2343929Z test_quick_cos_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2344056Z test_quick_cos_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2344177Z test_quick_cos_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2344298Z test_quick_cos_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2344419Z test_quick_cos_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2344539Z test_quick_cos_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2344669Z test_quick_cosh_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2344780Z test_quick_cosh_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2344914Z test_quick_cosh_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2345045Z test_quick_cosh_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2345174Z test_quick_cosh_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2345336Z test_quick_cosh_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2345467Z test_quick_cosh_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2345591Z test_quick_cosh_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2345711Z test_quick_cosh_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2345822Z test_quick_cosh_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2345945Z test_quick_cosh_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2346079Z test_quick_cumsum_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2346246Z test_quick_cumsum_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.2346381Z test_quick_cumsum_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2346513Z test_quick_cumsum_cpu_float32 (__main__.TestDecompCPU) ... ok (0.027s) 2022-11-23T01:37:01.2346643Z test_quick_cumsum_cpu_float64 (__main__.TestDecompCPU) ... ok (0.027s) 2022-11-23T01:37:01.2346774Z test_quick_cumsum_cpu_int16 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2346890Z test_quick_cumsum_cpu_int32 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2347019Z test_quick_cumsum_cpu_int64 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2347147Z test_quick_cumsum_cpu_int8 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2347277Z test_quick_cumsum_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2347461Z test_quick_diag_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: diag in torch.bfloat16 not supported (0.001s) 2022-11-23T01:37:01.2347637Z test_quick_diag_cpu_bool (__main__.TestDecompCPU) ... skip: diag in torch.bool not supported (0.001s) 2022-11-23T01:37:01.2347823Z test_quick_diag_cpu_complex128 (__main__.TestDecompCPU) ... skip: diag in torch.complex128 not supported (0.001s) 2022-11-23T01:37:01.2348005Z test_quick_diag_cpu_complex64 (__main__.TestDecompCPU) ... skip: diag in torch.complex64 not supported (0.001s) 2022-11-23T01:37:01.2348268Z test_quick_diag_cpu_float16 (__main__.TestDecompCPU) ... skip: diag in torch.float16 not supported (0.001s) 2022-11-23T01:37:01.2348449Z test_quick_diag_cpu_float32 (__main__.TestDecompCPU) ... skip: diag in torch.float32 not supported (0.001s) 2022-11-23T01:37:01.2348618Z test_quick_diag_cpu_float64 (__main__.TestDecompCPU) ... skip: diag in torch.float64 not supported (0.001s) 2022-11-23T01:37:01.2348788Z test_quick_diag_cpu_int16 (__main__.TestDecompCPU) ... skip: diag in torch.int16 not supported (0.001s) 2022-11-23T01:37:01.2348959Z test_quick_diag_cpu_int32 (__main__.TestDecompCPU) ... skip: diag in torch.int32 not supported (0.001s) 2022-11-23T01:37:01.2349129Z test_quick_diag_cpu_int64 (__main__.TestDecompCPU) ... skip: diag in torch.int64 not supported (0.001s) 2022-11-23T01:37:01.2349298Z test_quick_diag_cpu_int8 (__main__.TestDecompCPU) ... skip: diag in torch.int8 not supported (0.001s) 2022-11-23T01:37:01.2349468Z test_quick_diag_cpu_uint8 (__main__.TestDecompCPU) ... skip: diag in torch.uint8 not supported (0.001s) 2022-11-23T01:37:01.2349608Z test_quick_diag_embed_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2349730Z test_quick_diag_embed_cpu_bool (__main__.TestDecompCPU) ... ok (0.035s) 2022-11-23T01:37:01.2349874Z test_quick_diag_embed_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.097s) 2022-11-23T01:37:01.2350014Z test_quick_diag_embed_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.099s) 2022-11-23T01:37:01.2350154Z test_quick_diag_embed_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.100s) 2022-11-23T01:37:01.2350295Z test_quick_diag_embed_cpu_float16 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2350430Z test_quick_diag_embed_cpu_float32 (__main__.TestDecompCPU) ... ok (0.059s) 2022-11-23T01:37:01.2350564Z test_quick_diag_embed_cpu_float64 (__main__.TestDecompCPU) ... ok (0.057s) 2022-11-23T01:37:01.2350736Z test_quick_diag_embed_cpu_int16 (__main__.TestDecompCPU) ... ok (0.036s) 2022-11-23T01:37:01.2350857Z test_quick_diag_embed_cpu_int32 (__main__.TestDecompCPU) ... ok (0.036s) 2022-11-23T01:37:01.2350987Z test_quick_diag_embed_cpu_int64 (__main__.TestDecompCPU) ... ok (0.035s) 2022-11-23T01:37:01.2351118Z test_quick_diag_embed_cpu_int8 (__main__.TestDecompCPU) ... ok (0.035s) 2022-11-23T01:37:01.2351251Z test_quick_diag_embed_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.035s) 2022-11-23T01:37:01.2351396Z test_quick_diagonal_copy_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2351533Z test_quick_diagonal_copy_cpu_bool (__main__.TestDecompCPU) ... ok (0.032s) 2022-11-23T01:37:01.2351707Z test_quick_diagonal_copy_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.092s) 2022-11-23T01:37:01.2351853Z test_quick_diagonal_copy_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.095s) 2022-11-23T01:37:01.2351983Z test_quick_diagonal_copy_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.095s) 2022-11-23T01:37:01.2352125Z test_quick_diagonal_copy_cpu_float16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2352265Z test_quick_diagonal_copy_cpu_float32 (__main__.TestDecompCPU) ... ok (0.055s) 2022-11-23T01:37:01.2352404Z test_quick_diagonal_copy_cpu_float64 (__main__.TestDecompCPU) ... ok (0.053s) 2022-11-23T01:37:01.2352543Z test_quick_diagonal_copy_cpu_int16 (__main__.TestDecompCPU) ... ok (0.033s) 2022-11-23T01:37:01.2352680Z test_quick_diagonal_copy_cpu_int32 (__main__.TestDecompCPU) ... ok (0.033s) 2022-11-23T01:37:01.2352814Z test_quick_diagonal_copy_cpu_int64 (__main__.TestDecompCPU) ... ok (0.032s) 2022-11-23T01:37:01.2352954Z test_quick_diagonal_copy_cpu_int8 (__main__.TestDecompCPU) ... ok (0.033s) 2022-11-23T01:37:01.2353074Z test_quick_diagonal_copy_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.033s) 2022-11-23T01:37:01.2353208Z test_quick_diagonal_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2353342Z test_quick_diagonal_cpu_bool (__main__.TestDecompCPU) ... ok (0.032s) 2022-11-23T01:37:01.2353481Z test_quick_diagonal_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.136s) 2022-11-23T01:37:01.2353618Z test_quick_diagonal_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.095s) 2022-11-23T01:37:01.2353754Z test_quick_diagonal_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.141s) 2022-11-23T01:37:01.2353887Z test_quick_diagonal_cpu_float16 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2354022Z test_quick_diagonal_cpu_float32 (__main__.TestDecompCPU) ... ok (0.084s) 2022-11-23T01:37:01.2354141Z test_quick_diagonal_cpu_float64 (__main__.TestDecompCPU) ... ok (0.081s) 2022-11-23T01:37:01.2354275Z test_quick_diagonal_cpu_int16 (__main__.TestDecompCPU) ... ok (0.032s) 2022-11-23T01:37:01.2354407Z test_quick_diagonal_cpu_int32 (__main__.TestDecompCPU) ... ok (0.032s) 2022-11-23T01:37:01.2354539Z test_quick_diagonal_cpu_int64 (__main__.TestDecompCPU) ... ok (0.031s) 2022-11-23T01:37:01.2354672Z test_quick_diagonal_cpu_int8 (__main__.TestDecompCPU) ... ok (0.032s) 2022-11-23T01:37:01.2354803Z test_quick_diagonal_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.032s) 2022-11-23T01:37:01.2354948Z test_quick_diagonal_scatter_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2355089Z test_quick_diagonal_scatter_cpu_bool (__main__.TestDecompCPU) ... ok (0.138s) 2022-11-23T01:37:01.2355221Z test_quick_diagonal_scatter_cpu_float16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2355360Z test_quick_diagonal_scatter_cpu_float32 (__main__.TestDecompCPU) ... ok (0.224s) 2022-11-23T01:37:01.2355498Z test_quick_diagonal_scatter_cpu_float64 (__main__.TestDecompCPU) ... ok (0.219s) 2022-11-23T01:37:01.2355642Z test_quick_diagonal_scatter_cpu_int16 (__main__.TestDecompCPU) ... ok (0.139s) 2022-11-23T01:37:01.2355784Z test_quick_diagonal_scatter_cpu_int32 (__main__.TestDecompCPU) ... ok (0.139s) 2022-11-23T01:37:01.2355925Z test_quick_diagonal_scatter_cpu_int64 (__main__.TestDecompCPU) ... ok (0.139s) 2022-11-23T01:37:01.2356090Z test_quick_diagonal_scatter_cpu_int8 (__main__.TestDecompCPU) ... ok (0.139s) 2022-11-23T01:37:01.2356232Z test_quick_diagonal_scatter_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.138s) 2022-11-23T01:37:01.2356353Z test_quick_digamma_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2356484Z test_quick_digamma_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2356617Z test_quick_digamma_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2356752Z test_quick_digamma_cpu_float64 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2356912Z test_quick_digamma_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2357044Z test_quick_digamma_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2357173Z test_quick_digamma_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2357302Z test_quick_digamma_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2357421Z test_quick_digamma_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2357571Z test_quick_div_floor_rounding_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.039s) 2022-11-23T01:37:01.2357718Z test_quick_div_floor_rounding_cpu_float16 (__main__.TestDecompCPU) ... ok (0.039s) 2022-11-23T01:37:01.2357859Z test_quick_div_floor_rounding_cpu_float32 (__main__.TestDecompCPU) ... ok (0.108s) 2022-11-23T01:37:01.2357996Z test_quick_div_floor_rounding_cpu_float64 (__main__.TestDecompCPU) ... ok (0.104s) 2022-11-23T01:37:01.2358140Z test_quick_div_floor_rounding_cpu_int16 (__main__.TestDecompCPU) ... ok (0.051s) 2022-11-23T01:37:01.2358281Z test_quick_div_floor_rounding_cpu_int32 (__main__.TestDecompCPU) ... ok (0.051s) 2022-11-23T01:37:01.2358417Z test_quick_div_floor_rounding_cpu_int64 (__main__.TestDecompCPU) ... ok (0.050s) 2022-11-23T01:37:01.2358545Z test_quick_div_floor_rounding_cpu_int8 (__main__.TestDecompCPU) ... ok (0.050s) 2022-11-23T01:37:01.2358689Z test_quick_div_floor_rounding_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2358839Z test_quick_div_no_rounding_mode_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2358984Z test_quick_div_no_rounding_mode_cpu_bool (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2359135Z test_quick_div_no_rounding_mode_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.138s) 2022-11-23T01:37:01.2359286Z test_quick_div_no_rounding_mode_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.141s) 2022-11-23T01:37:01.2359435Z test_quick_div_no_rounding_mode_cpu_float16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2359584Z test_quick_div_no_rounding_mode_cpu_float32 (__main__.TestDecompCPU) ... ok (0.080s) 2022-11-23T01:37:01.2359730Z test_quick_div_no_rounding_mode_cpu_float64 (__main__.TestDecompCPU) ... ok (0.078s) 2022-11-23T01:37:01.2359863Z test_quick_div_no_rounding_mode_cpu_int16 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2360004Z test_quick_div_no_rounding_mode_cpu_int32 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2360142Z test_quick_div_no_rounding_mode_cpu_int64 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2360285Z test_quick_div_no_rounding_mode_cpu_int8 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2360423Z test_quick_div_no_rounding_mode_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2360569Z test_quick_div_trunc_rounding_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2360710Z test_quick_div_trunc_rounding_cpu_float16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2360848Z test_quick_div_trunc_rounding_cpu_float32 (__main__.TestDecompCPU) ... ok (0.081s) 2022-11-23T01:37:01.2360970Z test_quick_div_trunc_rounding_cpu_float64 (__main__.TestDecompCPU) ... ok (0.079s) 2022-11-23T01:37:01.2361113Z test_quick_div_trunc_rounding_cpu_int16 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2361278Z test_quick_div_trunc_rounding_cpu_int32 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2361416Z test_quick_div_trunc_rounding_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2361555Z test_quick_div_trunc_rounding_cpu_int8 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2361695Z test_quick_div_trunc_rounding_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2361823Z test_quick_dot_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2361956Z test_quick_dot_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2362107Z test_quick_dot_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2362237Z test_quick_dot_cpu_float32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2362363Z test_quick_dot_cpu_float64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2362490Z test_quick_dot_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2362611Z test_quick_dot_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2362731Z test_quick_dot_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2362856Z test_quick_dot_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2362977Z test_quick_dot_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2363148Z test_quick_empty_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: empty in torch.bfloat16 not supported (0.001s) 2022-11-23T01:37:01.2363322Z test_quick_empty_cpu_bool (__main__.TestDecompCPU) ... skip: empty in torch.bool not supported (0.001s) 2022-11-23T01:37:01.2363515Z test_quick_empty_cpu_complex128 (__main__.TestDecompCPU) ... skip: empty in torch.complex128 not supported (0.001s) 2022-11-23T01:37:01.2363700Z test_quick_empty_cpu_complex32 (__main__.TestDecompCPU) ... skip: empty in torch.complex32 not supported (0.001s) 2022-11-23T01:37:01.2363881Z test_quick_empty_cpu_complex64 (__main__.TestDecompCPU) ... skip: empty in torch.complex64 not supported (0.001s) 2022-11-23T01:37:01.2364060Z test_quick_empty_cpu_float16 (__main__.TestDecompCPU) ... skip: empty in torch.float16 not supported (0.001s) 2022-11-23T01:37:01.2364237Z test_quick_empty_cpu_float32 (__main__.TestDecompCPU) ... skip: empty in torch.float32 not supported (0.001s) 2022-11-23T01:37:01.2364412Z test_quick_empty_cpu_float64 (__main__.TestDecompCPU) ... skip: empty in torch.float64 not supported (0.001s) 2022-11-23T01:37:01.2364584Z test_quick_empty_cpu_int16 (__main__.TestDecompCPU) ... skip: empty in torch.int16 not supported (0.001s) 2022-11-23T01:37:01.2364745Z test_quick_empty_cpu_int32 (__main__.TestDecompCPU) ... skip: empty in torch.int32 not supported (0.001s) 2022-11-23T01:37:01.2364909Z test_quick_empty_cpu_int64 (__main__.TestDecompCPU) ... skip: empty in torch.int64 not supported (0.001s) 2022-11-23T01:37:01.2365080Z test_quick_empty_cpu_int8 (__main__.TestDecompCPU) ... skip: empty in torch.int8 not supported (0.001s) 2022-11-23T01:37:01.2365250Z test_quick_empty_cpu_uint8 (__main__.TestDecompCPU) ... skip: empty in torch.uint8 not supported (0.001s) 2022-11-23T01:37:01.2365437Z test_quick_empty_like_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: empty_like in torch.bfloat16 not supported (0.001s) 2022-11-23T01:37:01.2365616Z test_quick_empty_like_cpu_bool (__main__.TestDecompCPU) ... skip: empty_like in torch.bool not supported (0.001s) 2022-11-23T01:37:01.2365810Z test_quick_empty_like_cpu_complex128 (__main__.TestDecompCPU) ... skip: empty_like in torch.complex128 not supported (0.001s) 2022-11-23T01:37:01.2366003Z test_quick_empty_like_cpu_complex32 (__main__.TestDecompCPU) ... skip: empty_like in torch.complex32 not supported (0.001s) 2022-11-23T01:37:01.2366194Z test_quick_empty_like_cpu_complex64 (__main__.TestDecompCPU) ... skip: empty_like in torch.complex64 not supported (0.001s) 2022-11-23T01:37:01.2366402Z test_quick_empty_like_cpu_float16 (__main__.TestDecompCPU) ... skip: empty_like in torch.float16 not supported (0.001s) 2022-11-23T01:37:01.2366575Z test_quick_empty_like_cpu_float32 (__main__.TestDecompCPU) ... skip: empty_like in torch.float32 not supported (0.001s) 2022-11-23T01:37:01.2366760Z test_quick_empty_like_cpu_float64 (__main__.TestDecompCPU) ... skip: empty_like in torch.float64 not supported (0.001s) 2022-11-23T01:37:01.2366939Z test_quick_empty_like_cpu_int16 (__main__.TestDecompCPU) ... skip: empty_like in torch.int16 not supported (0.001s) 2022-11-23T01:37:01.2367115Z test_quick_empty_like_cpu_int32 (__main__.TestDecompCPU) ... skip: empty_like in torch.int32 not supported (0.001s) 2022-11-23T01:37:01.2367314Z test_quick_empty_like_cpu_int64 (__main__.TestDecompCPU) ... skip: empty_like in torch.int64 not supported (0.001s) 2022-11-23T01:37:01.2367495Z test_quick_empty_like_cpu_int8 (__main__.TestDecompCPU) ... skip: empty_like in torch.int8 not supported (0.001s) 2022-11-23T01:37:01.2367670Z test_quick_empty_like_cpu_uint8 (__main__.TestDecompCPU) ... skip: empty_like in torch.uint8 not supported (0.001s) 2022-11-23T01:37:01.2367799Z test_quick_eq_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.046s) 2022-11-23T01:37:01.2367922Z test_quick_eq_cpu_bool (__main__.TestDecompCPU) ... ok (0.050s) 2022-11-23T01:37:01.2368041Z test_quick_eq_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.143s) 2022-11-23T01:37:01.2368172Z test_quick_eq_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.147s) 2022-11-23T01:37:01.2368303Z test_quick_eq_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.146s) 2022-11-23T01:37:01.2368431Z test_quick_eq_cpu_float16 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.2368558Z test_quick_eq_cpu_float32 (__main__.TestDecompCPU) ... ok (0.082s) 2022-11-23T01:37:01.2368681Z test_quick_eq_cpu_float64 (__main__.TestDecompCPU) ... ok (0.079s) 2022-11-23T01:37:01.2368804Z test_quick_eq_cpu_int16 (__main__.TestDecompCPU) ... ok (0.051s) 2022-11-23T01:37:01.2368924Z test_quick_eq_cpu_int32 (__main__.TestDecompCPU) ... ok (0.051s) 2022-11-23T01:37:01.2369030Z test_quick_eq_cpu_int64 (__main__.TestDecompCPU) ... ok (0.050s) 2022-11-23T01:37:01.2369152Z test_quick_eq_cpu_int8 (__main__.TestDecompCPU) ... ok (0.051s) 2022-11-23T01:37:01.2369273Z test_quick_eq_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.050s) 2022-11-23T01:37:01.2369400Z test_quick_erf_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2369521Z test_quick_erf_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2369650Z test_quick_erf_cpu_float32 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2369775Z test_quick_erf_cpu_float64 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2369900Z test_quick_erf_cpu_int16 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2370007Z test_quick_erf_cpu_int32 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2370126Z test_quick_erf_cpu_int64 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2370249Z test_quick_erf_cpu_int8 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2370369Z test_quick_erf_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2370499Z test_quick_erfc_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2370623Z test_quick_erfc_cpu_bool (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2370754Z test_quick_erfc_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2370867Z test_quick_erfc_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2370999Z test_quick_erfc_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2371125Z test_quick_erfc_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2371246Z test_quick_erfc_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2371369Z test_quick_erfc_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2371548Z test_quick_erfc_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2371684Z test_quick_erfinv_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2371812Z test_quick_erfinv_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2371930Z test_quick_erfinv_cpu_float32 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.2372060Z test_quick_erfinv_cpu_float64 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2372190Z test_quick_erfinv_cpu_int16 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2372317Z test_quick_erfinv_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2372472Z test_quick_erfinv_cpu_int64 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2372598Z test_quick_erfinv_cpu_int8 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2372725Z test_quick_erfinv_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2372858Z test_quick_exp2_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2372970Z test_quick_exp2_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2373098Z test_quick_exp2_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2373225Z test_quick_exp2_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2373350Z test_quick_exp2_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2373477Z test_quick_exp2_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2373601Z test_quick_exp2_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2373725Z test_quick_exp2_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2373848Z test_quick_exp2_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2373955Z test_quick_exp2_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2374083Z test_quick_exp_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2374209Z test_quick_exp_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2374342Z test_quick_exp_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2374474Z test_quick_exp_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2374601Z test_quick_exp_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2374725Z test_quick_exp_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2374847Z test_quick_exp_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2374956Z test_quick_exp_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2375076Z test_quick_exp_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2375200Z test_quick_exp_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2375320Z test_quick_exp_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2375457Z test_quick_expand_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2375587Z test_quick_expand_cpu_bool (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2375727Z test_quick_expand_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.032s) 2022-11-23T01:37:01.2375851Z test_quick_expand_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.033s) 2022-11-23T01:37:01.2375984Z test_quick_expand_cpu_float16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2376114Z test_quick_expand_cpu_float32 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2376245Z test_quick_expand_cpu_float64 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2376376Z test_quick_expand_cpu_int16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2376504Z test_quick_expand_cpu_int32 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2376632Z test_quick_expand_cpu_int64 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2376787Z test_quick_expand_cpu_int8 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2376904Z test_quick_expand_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2377036Z test_quick_expm1_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2377162Z test_quick_expm1_cpu_bool (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2377291Z test_quick_expm1_cpu_float32 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.2377420Z test_quick_expm1_cpu_float64 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2377547Z test_quick_expm1_cpu_int16 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2377698Z test_quick_expm1_cpu_int32 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2377822Z test_quick_expm1_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2377936Z test_quick_expm1_cpu_int8 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2378060Z test_quick_expm1_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2378184Z test_quick_eye_cpu_bool (__main__.TestDecompCPU) ... ok (0.041s) 2022-11-23T01:37:01.2378314Z test_quick_eye_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.068s) 2022-11-23T01:37:01.2378444Z test_quick_eye_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.070s) 2022-11-23T01:37:01.2378570Z test_quick_eye_cpu_float16 (__main__.TestDecompCPU) ... ok (0.039s) 2022-11-23T01:37:01.2378695Z test_quick_eye_cpu_float32 (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.2378958Z test_quick_eye_cpu_float64 (__main__.TestDecompCPU) ... ok (0.057s) 2022-11-23T01:37:01.2379075Z test_quick_eye_cpu_int16 (__main__.TestDecompCPU) ... ok (0.046s) 2022-11-23T01:37:01.2379197Z test_quick_eye_cpu_int32 (__main__.TestDecompCPU) ... ok (0.046s) 2022-11-23T01:37:01.2379315Z test_quick_eye_cpu_int64 (__main__.TestDecompCPU) ... ok (0.042s) 2022-11-23T01:37:01.2379437Z test_quick_eye_cpu_int8 (__main__.TestDecompCPU) ... ok (0.046s) 2022-11-23T01:37:01.2379558Z test_quick_eye_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.046s) 2022-11-23T01:37:01.2379904Z test_quick_fft_fft2_cpu_bool (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2380043Z test_quick_fft_fft2_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.059s) 2022-11-23T01:37:01.2380179Z test_quick_fft_fft2_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.2380299Z test_quick_fft_fft2_cpu_float32 (__main__.TestDecompCPU) ... ok (0.109s) 2022-11-23T01:37:01.2380431Z test_quick_fft_fft2_cpu_float64 (__main__.TestDecompCPU) ... ok (0.108s) 2022-11-23T01:37:01.2380735Z test_quick_fft_fft2_cpu_int16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2381033Z test_quick_fft_fft2_cpu_int32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2381331Z test_quick_fft_fft2_cpu_int64 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2381629Z test_quick_fft_fft2_cpu_int8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2381927Z test_quick_fft_fft2_cpu_uint8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2382221Z test_quick_fft_fft_cpu_bool (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2382361Z test_quick_fft_fft_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.025s) 2022-11-23T01:37:01.2382484Z test_quick_fft_fft_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.025s) 2022-11-23T01:37:01.2382615Z test_quick_fft_fft_cpu_float32 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2382744Z test_quick_fft_fft_cpu_float64 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2383092Z test_quick_fft_fft_cpu_int16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2383386Z test_quick_fft_fft_cpu_int32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2383668Z test_quick_fft_fft_cpu_int64 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2383957Z test_quick_fft_fft_cpu_int8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2384282Z test_quick_fft_fft_cpu_uint8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2384563Z test_quick_fft_fftn_cpu_bool (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2384704Z test_quick_fft_fftn_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.061s) 2022-11-23T01:37:01.2384828Z test_quick_fft_fftn_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.061s) 2022-11-23T01:37:01.2384961Z test_quick_fft_fftn_cpu_float32 (__main__.TestDecompCPU) ... ok (0.126s) 2022-11-23T01:37:01.2385095Z test_quick_fft_fftn_cpu_float64 (__main__.TestDecompCPU) ... ok (0.124s) 2022-11-23T01:37:01.2385390Z test_quick_fft_fftn_cpu_int16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2385684Z test_quick_fft_fftn_cpu_int32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2385979Z test_quick_fft_fftn_cpu_int64 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2386272Z test_quick_fft_fftn_cpu_int8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2386566Z test_quick_fft_fftn_cpu_uint8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2386856Z test_quick_fft_hfft2_cpu_bool (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2386983Z test_quick_fft_hfft2_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.178s) 2022-11-23T01:37:01.2387121Z test_quick_fft_hfft2_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.180s) 2022-11-23T01:37:01.2387256Z test_quick_fft_hfft2_cpu_float32 (__main__.TestDecompCPU) ... ok (0.212s) 2022-11-23T01:37:01.2387392Z test_quick_fft_hfft2_cpu_float64 (__main__.TestDecompCPU) ... ok (0.209s) 2022-11-23T01:37:01.2387686Z test_quick_fft_hfft2_cpu_int16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2387981Z test_quick_fft_hfft2_cpu_int32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2388368Z test_quick_fft_hfft2_cpu_int64 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2388663Z test_quick_fft_hfft2_cpu_int8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2388956Z test_quick_fft_hfft2_cpu_uint8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2389232Z test_quick_fft_hfft_cpu_bool (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2389375Z test_quick_fft_hfft_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.155s) 2022-11-23T01:37:01.2389512Z test_quick_fft_hfft_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.158s) 2022-11-23T01:37:01.2389680Z test_quick_fft_hfft_cpu_float32 (__main__.TestDecompCPU) ... ok (0.220s) 2022-11-23T01:37:01.2389815Z test_quick_fft_hfft_cpu_float64 (__main__.TestDecompCPU) ... ok (0.232s) 2022-11-23T01:37:01.2390107Z test_quick_fft_hfft_cpu_int16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2390401Z test_quick_fft_hfft_cpu_int32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2390695Z test_quick_fft_hfft_cpu_int64 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2391018Z test_quick_fft_hfft_cpu_int8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2391310Z test_quick_fft_hfft_cpu_uint8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2391590Z test_quick_fft_hfftn_cpu_bool (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2391731Z test_quick_fft_hfftn_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.285s) 2022-11-23T01:37:01.2391871Z test_quick_fft_hfftn_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.294s) 2022-11-23T01:37:01.2392004Z test_quick_fft_hfftn_cpu_float32 (__main__.TestDecompCPU) ... ok (0.323s) 2022-11-23T01:37:01.2392136Z test_quick_fft_hfftn_cpu_float64 (__main__.TestDecompCPU) ... ok (0.231s) 2022-11-23T01:37:01.2392431Z test_quick_fft_hfftn_cpu_int16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2392726Z test_quick_fft_hfftn_cpu_int32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2393017Z test_quick_fft_hfftn_cpu_int64 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2393315Z test_quick_fft_hfftn_cpu_int8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2393594Z test_quick_fft_hfftn_cpu_uint8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2393884Z test_quick_fft_ifft2_cpu_bool (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2394024Z test_quick_fft_ifft2_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.059s) 2022-11-23T01:37:01.2394161Z test_quick_fft_ifft2_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.2394297Z test_quick_fft_ifft2_cpu_float32 (__main__.TestDecompCPU) ... ok (0.110s) 2022-11-23T01:37:01.2394430Z test_quick_fft_ifft2_cpu_float64 (__main__.TestDecompCPU) ... ok (0.108s) 2022-11-23T01:37:01.2394727Z test_quick_fft_ifft2_cpu_int16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2395018Z test_quick_fft_ifft2_cpu_int32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2395313Z test_quick_fft_ifft2_cpu_int64 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2395592Z test_quick_fft_ifft2_cpu_int8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2395884Z test_quick_fft_ifft2_cpu_uint8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2396182Z test_quick_fft_ifft_cpu_bool (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2396320Z test_quick_fft_ifft_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.025s) 2022-11-23T01:37:01.2396487Z test_quick_fft_ifft_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.025s) 2022-11-23T01:37:01.2396622Z test_quick_fft_ifft_cpu_float32 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2396755Z test_quick_fft_ifft_cpu_float64 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2397048Z test_quick_fft_ifft_cpu_int16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2397340Z test_quick_fft_ifft_cpu_int32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2397618Z test_quick_fft_ifft_cpu_int64 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2397935Z test_quick_fft_ifft_cpu_int8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2398231Z test_quick_fft_ifft_cpu_uint8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2398521Z test_quick_fft_ifftn_cpu_bool (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2398662Z test_quick_fft_ifftn_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.059s) 2022-11-23T01:37:01.2398799Z test_quick_fft_ifftn_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.061s) 2022-11-23T01:37:01.2398932Z test_quick_fft_ifftn_cpu_float32 (__main__.TestDecompCPU) ... ok (0.125s) 2022-11-23T01:37:01.2399066Z test_quick_fft_ifftn_cpu_float64 (__main__.TestDecompCPU) ... ok (0.125s) 2022-11-23T01:37:01.2399363Z test_quick_fft_ifftn_cpu_int16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2399662Z test_quick_fft_ifftn_cpu_int32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2399944Z test_quick_fft_ifftn_cpu_int64 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2400236Z test_quick_fft_ifftn_cpu_int8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2400526Z test_quick_fft_ifftn_cpu_uint8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2400819Z test_quick_fft_ihfft2_cpu_bool (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2400961Z test_quick_fft_ihfft2_cpu_float32 (__main__.TestDecompCPU) ... ok (0.035s) 2022-11-23T01:37:01.2401096Z test_quick_fft_ihfft2_cpu_float64 (__main__.TestDecompCPU) ... ok (0.034s) 2022-11-23T01:37:01.2401392Z test_quick_fft_ihfft2_cpu_int16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2401691Z test_quick_fft_ihfft2_cpu_int32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2401988Z test_quick_fft_ihfft2_cpu_int64 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2402269Z test_quick_fft_ihfft2_cpu_int8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2402565Z test_quick_fft_ihfft2_cpu_uint8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2402858Z test_quick_fft_ihfft_cpu_bool (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2402993Z test_quick_fft_ihfft_cpu_float32 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2403129Z test_quick_fft_ihfft_cpu_float64 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2403450Z test_quick_fft_ihfft_cpu_int16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2403744Z test_quick_fft_ihfft_cpu_int32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2404035Z test_quick_fft_ihfft_cpu_int64 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2404326Z test_quick_fft_ihfft_cpu_int8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2404645Z test_quick_fft_ihfft_cpu_uint8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2404922Z test_quick_fft_ihfftn_cpu_bool (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2405061Z test_quick_fft_ihfftn_cpu_float32 (__main__.TestDecompCPU) ... ok (0.035s) 2022-11-23T01:37:01.2405197Z test_quick_fft_ihfftn_cpu_float64 (__main__.TestDecompCPU) ... ok (0.034s) 2022-11-23T01:37:01.2405493Z test_quick_fft_ihfftn_cpu_int16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2405788Z test_quick_fft_ihfftn_cpu_int32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2406084Z test_quick_fft_ihfftn_cpu_int64 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2406379Z test_quick_fft_ihfftn_cpu_int8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2406670Z test_quick_fft_ihfftn_cpu_uint8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2406965Z test_quick_fft_irfft2_cpu_bool (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2407105Z test_quick_fft_irfft2_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.059s) 2022-11-23T01:37:01.2407232Z test_quick_fft_irfft2_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.2407363Z test_quick_fft_irfft2_cpu_float32 (__main__.TestDecompCPU) ... ok (0.110s) 2022-11-23T01:37:01.2407498Z test_quick_fft_irfft2_cpu_float64 (__main__.TestDecompCPU) ... ok (0.108s) 2022-11-23T01:37:01.2407790Z test_quick_fft_irfft2_cpu_int16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2408088Z test_quick_fft_irfft2_cpu_int32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2408385Z test_quick_fft_irfft2_cpu_int64 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2408675Z test_quick_fft_irfft2_cpu_int8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2408965Z test_quick_fft_irfft2_cpu_uint8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2409255Z test_quick_fft_irfft_cpu_bool (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2409382Z test_quick_fft_irfft_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.025s) 2022-11-23T01:37:01.2409522Z test_quick_fft_irfft_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.025s) 2022-11-23T01:37:01.2409656Z test_quick_fft_irfft_cpu_float32 (__main__.TestDecompCPU) ... ok (0.092s) 2022-11-23T01:37:01.2409790Z test_quick_fft_irfft_cpu_float64 (__main__.TestDecompCPU) ... ok (0.090s) 2022-11-23T01:37:01.2410108Z test_quick_fft_irfft_cpu_int16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2410405Z test_quick_fft_irfft_cpu_int32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2410697Z test_quick_fft_irfft_cpu_int64 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2410989Z test_quick_fft_irfft_cpu_int8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2411279Z test_quick_fft_irfft_cpu_uint8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2411585Z test_quick_fft_irfftn_cpu_bool (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2411728Z test_quick_fft_irfftn_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.059s) 2022-11-23T01:37:01.2411869Z test_quick_fft_irfftn_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.061s) 2022-11-23T01:37:01.2412007Z test_quick_fft_irfftn_cpu_float32 (__main__.TestDecompCPU) ... ok (0.125s) 2022-11-23T01:37:01.2412143Z test_quick_fft_irfftn_cpu_float64 (__main__.TestDecompCPU) ... ok (0.123s) 2022-11-23T01:37:01.2412439Z test_quick_fft_irfftn_cpu_int16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2412733Z test_quick_fft_irfftn_cpu_int32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2413030Z test_quick_fft_irfftn_cpu_int64 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2413328Z test_quick_fft_irfftn_cpu_int8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2413625Z test_quick_fft_irfftn_cpu_uint8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2413905Z test_quick_fft_rfft2_cpu_bool (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2414039Z test_quick_fft_rfft2_cpu_float32 (__main__.TestDecompCPU) ... ok (0.033s) 2022-11-23T01:37:01.2414170Z test_quick_fft_rfft2_cpu_float64 (__main__.TestDecompCPU) ... ok (0.033s) 2022-11-23T01:37:01.2414463Z test_quick_fft_rfft2_cpu_int16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2414756Z test_quick_fft_rfft2_cpu_int32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2415048Z test_quick_fft_rfft2_cpu_int64 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2415341Z test_quick_fft_rfft2_cpu_int8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2415630Z test_quick_fft_rfft2_cpu_uint8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2415920Z test_quick_fft_rfft_cpu_bool (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2416041Z test_quick_fft_rfft_cpu_float32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2416175Z test_quick_fft_rfft_cpu_float64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2416468Z test_quick_fft_rfft_cpu_int16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2416760Z test_quick_fft_rfft_cpu_int32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2417087Z test_quick_fft_rfft_cpu_int64 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2417381Z test_quick_fft_rfft_cpu_int8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2417672Z test_quick_fft_rfft_cpu_uint8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2417963Z test_quick_fft_rfftn_cpu_bool (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2418128Z test_quick_fft_rfftn_cpu_float32 (__main__.TestDecompCPU) ... ok (0.034s) 2022-11-23T01:37:01.2418259Z test_quick_fft_rfftn_cpu_float64 (__main__.TestDecompCPU) ... ok (0.034s) 2022-11-23T01:37:01.2418539Z test_quick_fft_rfftn_cpu_int16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2418951Z test_quick_fft_rfftn_cpu_int32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2419244Z test_quick_fft_rfftn_cpu_int64 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2419535Z test_quick_fft_rfftn_cpu_int8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2419826Z test_quick_fft_rfftn_cpu_uint8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2419964Z test_quick_flip_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2420093Z test_quick_flip_cpu_bool (__main__.TestDecompCPU) ... ok (0.053s) 2022-11-23T01:37:01.2420229Z test_quick_flip_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.138s) 2022-11-23T01:37:01.2420363Z test_quick_flip_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.139s) 2022-11-23T01:37:01.2420482Z test_quick_flip_cpu_float16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2420610Z test_quick_flip_cpu_float32 (__main__.TestDecompCPU) ... ok (0.077s) 2022-11-23T01:37:01.2420739Z test_quick_flip_cpu_float64 (__main__.TestDecompCPU) ... ok (0.076s) 2022-11-23T01:37:01.2420867Z test_quick_flip_cpu_int16 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2420992Z test_quick_flip_cpu_int32 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2421113Z test_quick_flip_cpu_int64 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2421240Z test_quick_flip_cpu_int8 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2421362Z test_quick_flip_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2421480Z test_quick_floor_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2421612Z test_quick_floor_cpu_float32 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.2421742Z test_quick_floor_cpu_float64 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2421869Z test_quick_floor_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2421996Z test_quick_floor_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2422118Z test_quick_floor_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2422244Z test_quick_floor_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2422351Z test_quick_floor_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2422491Z test_quick_floor_divide_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.038s) 2022-11-23T01:37:01.2422632Z test_quick_floor_divide_cpu_float16 (__main__.TestDecompCPU) ... ok (0.039s) 2022-11-23T01:37:01.2422770Z test_quick_floor_divide_cpu_float32 (__main__.TestDecompCPU) ... ok (0.108s) 2022-11-23T01:37:01.2422908Z test_quick_floor_divide_cpu_float64 (__main__.TestDecompCPU) ... ok (0.104s) 2022-11-23T01:37:01.2423095Z test_quick_floor_divide_cpu_int16 (__main__.TestDecompCPU) ... ok (0.051s) 2022-11-23T01:37:01.2423236Z test_quick_floor_divide_cpu_int32 (__main__.TestDecompCPU) ... ok (0.051s) 2022-11-23T01:37:01.2423368Z test_quick_floor_divide_cpu_int64 (__main__.TestDecompCPU) ... ok (0.050s) 2022-11-23T01:37:01.2423502Z test_quick_floor_divide_cpu_int8 (__main__.TestDecompCPU) ... ok (0.051s) 2022-11-23T01:37:01.2423619Z test_quick_floor_divide_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2423748Z test_quick_fmax_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2423915Z test_quick_fmax_cpu_bool (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2424045Z test_quick_fmax_cpu_float16 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2424174Z test_quick_fmax_cpu_float32 (__main__.TestDecompCPU) ... ok (0.079s) 2022-11-23T01:37:01.2424302Z test_quick_fmax_cpu_float64 (__main__.TestDecompCPU) ... ok (0.077s) 2022-11-23T01:37:01.2424432Z test_quick_fmax_cpu_int16 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2424543Z test_quick_fmax_cpu_int32 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2424665Z test_quick_fmax_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2424790Z test_quick_fmax_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2424912Z test_quick_fmax_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2425046Z test_quick_fmin_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2425172Z test_quick_fmin_cpu_bool (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2425301Z test_quick_fmin_cpu_float16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2425430Z test_quick_fmin_cpu_float32 (__main__.TestDecompCPU) ... ok (0.078s) 2022-11-23T01:37:01.2425543Z test_quick_fmin_cpu_float64 (__main__.TestDecompCPU) ... ok (0.076s) 2022-11-23T01:37:01.2425667Z test_quick_fmin_cpu_int16 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2425787Z test_quick_fmin_cpu_int32 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2425909Z test_quick_fmin_cpu_int64 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.2426033Z test_quick_fmin_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2426155Z test_quick_fmin_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2426284Z test_quick_fmod_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2426409Z test_quick_fmod_cpu_float16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2426526Z test_quick_fmod_cpu_float32 (__main__.TestDecompCPU) ... ok (0.078s) 2022-11-23T01:37:01.2426650Z test_quick_fmod_cpu_float64 (__main__.TestDecompCPU) ... ok (0.077s) 2022-11-23T01:37:01.2426772Z test_quick_fmod_cpu_int16 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2426894Z test_quick_fmod_cpu_int32 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2427015Z test_quick_fmod_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2427138Z test_quick_fmod_cpu_int8 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2427260Z test_quick_fmod_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2427388Z test_quick_frac_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2427502Z test_quick_frac_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2427630Z test_quick_frac_cpu_float32 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.2427758Z test_quick_frac_cpu_float64 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.2427886Z test_quick_full_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2428012Z test_quick_full_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2428224Z test_quick_full_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2428396Z test_quick_full_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2428530Z test_quick_full_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2428647Z test_quick_full_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2428773Z test_quick_full_cpu_float32 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2428901Z test_quick_full_cpu_float64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2429027Z test_quick_full_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2429152Z test_quick_full_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2429303Z test_quick_full_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2429428Z test_quick_full_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2429538Z test_quick_full_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2429663Z test_quick_gcd_cpu_int16 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2429783Z test_quick_gcd_cpu_int32 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2429900Z test_quick_gcd_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2430024Z test_quick_gcd_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2430144Z test_quick_gcd_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2430271Z test_quick_ge_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.043s) 2022-11-23T01:37:01.2430394Z test_quick_ge_cpu_bool (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2430508Z test_quick_ge_cpu_float16 (__main__.TestDecompCPU) ... ok (0.044s) 2022-11-23T01:37:01.2430633Z test_quick_ge_cpu_float32 (__main__.TestDecompCPU) ... ok (0.075s) 2022-11-23T01:37:01.2430754Z test_quick_ge_cpu_float64 (__main__.TestDecompCPU) ... ok (0.074s) 2022-11-23T01:37:01.2430878Z test_quick_ge_cpu_int16 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2430999Z test_quick_ge_cpu_int32 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2431118Z test_quick_ge_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2431241Z test_quick_ge_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2431365Z test_quick_ge_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2431495Z test_quick_grid_sampler_2d_cpu_float32 (__main__.TestDecompCPU) ... ok (0.785s) 2022-11-23T01:37:01.2431640Z test_quick_grid_sampler_2d_cpu_float64 (__main__.TestDecompCPU) ... ok (0.767s) 2022-11-23T01:37:01.2431769Z test_quick_gt_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.043s) 2022-11-23T01:37:01.2431893Z test_quick_gt_cpu_bool (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2432018Z test_quick_gt_cpu_float16 (__main__.TestDecompCPU) ... ok (0.044s) 2022-11-23T01:37:01.2432143Z test_quick_gt_cpu_float32 (__main__.TestDecompCPU) ... ok (0.076s) 2022-11-23T01:37:01.2432267Z test_quick_gt_cpu_float64 (__main__.TestDecompCPU) ... ok (0.075s) 2022-11-23T01:37:01.2432387Z test_quick_gt_cpu_int16 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2432492Z test_quick_gt_cpu_int32 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2432609Z test_quick_gt_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2432730Z test_quick_gt_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2432853Z test_quick_gt_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2432991Z test_quick_heaviside_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.2433129Z test_quick_heaviside_cpu_bool (__main__.TestDecompCPU) ... ok (0.057s) 2022-11-23T01:37:01.2433267Z test_quick_heaviside_cpu_float16 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.2433403Z test_quick_heaviside_cpu_float32 (__main__.TestDecompCPU) ... ok (0.085s) 2022-11-23T01:37:01.2433549Z test_quick_heaviside_cpu_float64 (__main__.TestDecompCPU) ... ok (0.083s) 2022-11-23T01:37:01.2433685Z test_quick_heaviside_cpu_int16 (__main__.TestDecompCPU) ... ok (0.056s) 2022-11-23T01:37:01.2433818Z test_quick_heaviside_cpu_int32 (__main__.TestDecompCPU) ... ok (0.057s) 2022-11-23T01:37:01.2433950Z test_quick_heaviside_cpu_int64 (__main__.TestDecompCPU) ... ok (0.055s) 2022-11-23T01:37:01.2434084Z test_quick_heaviside_cpu_int8 (__main__.TestDecompCPU) ... ok (0.057s) 2022-11-23T01:37:01.2434215Z test_quick_heaviside_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.057s) 2022-11-23T01:37:01.2434345Z test_quick_hypot_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2434489Z test_quick_hypot_cpu_float32 (__main__.TestDecompCPU) ... ok (0.079s) 2022-11-23T01:37:01.2434621Z test_quick_hypot_cpu_float64 (__main__.TestDecompCPU) ... ok (0.077s) 2022-11-23T01:37:01.2434751Z test_quick_igamma_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2434884Z test_quick_igamma_cpu_float16 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2435016Z test_quick_igamma_cpu_float32 (__main__.TestDecompCPU) ... ok (0.078s) 2022-11-23T01:37:01.2435146Z test_quick_igamma_cpu_float64 (__main__.TestDecompCPU) ... ok (0.076s) 2022-11-23T01:37:01.2435282Z test_quick_igammac_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2435413Z test_quick_igammac_cpu_float16 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2435532Z test_quick_igammac_cpu_float32 (__main__.TestDecompCPU) ... ok (0.078s) 2022-11-23T01:37:01.2435662Z test_quick_igammac_cpu_float64 (__main__.TestDecompCPU) ... ok (0.076s) 2022-11-23T01:37:01.2435802Z test_quick_index_add_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2435931Z test_quick_index_add_cpu_bool (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2436072Z test_quick_index_add_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2436212Z test_quick_index_add_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.055s) 2022-11-23T01:37:01.2436350Z test_quick_index_add_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.055s) 2022-11-23T01:37:01.2436483Z test_quick_index_add_cpu_float16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2436603Z test_quick_index_add_cpu_float32 (__main__.TestDecompCPU) ... ok (0.033s) 2022-11-23T01:37:01.2436734Z test_quick_index_add_cpu_float64 (__main__.TestDecompCPU) ... ok (0.031s) 2022-11-23T01:37:01.2436864Z test_quick_index_add_cpu_int16 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.2436995Z test_quick_index_add_cpu_int32 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.2437130Z test_quick_index_add_cpu_int64 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2437261Z test_quick_index_add_cpu_int8 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.2437389Z test_quick_index_add_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.2437530Z test_quick_index_copy_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2437648Z test_quick_index_copy_cpu_bool (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2437790Z test_quick_index_copy_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2437931Z test_quick_index_copy_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.2438066Z test_quick_index_copy_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2438202Z test_quick_index_copy_cpu_float32 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2438337Z test_quick_index_copy_cpu_float64 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2438471Z test_quick_index_copy_cpu_int16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2438604Z test_quick_index_copy_cpu_int32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2438722Z test_quick_index_copy_cpu_int64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2438886Z test_quick_index_copy_cpu_int8 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2439021Z test_quick_index_copy_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2439157Z test_quick_index_fill_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2439290Z test_quick_index_fill_cpu_bool (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2439429Z test_quick_index_fill_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2439567Z test_quick_index_fill_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2439744Z test_quick_index_fill_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2439864Z test_quick_index_fill_cpu_float32 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2439996Z test_quick_index_fill_cpu_float64 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2440127Z test_quick_index_fill_cpu_int16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2440257Z test_quick_index_fill_cpu_int32 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2440385Z test_quick_index_fill_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2440515Z test_quick_index_fill_cpu_int8 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2440646Z test_quick_index_fill_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2440787Z test_quick_index_select_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2440908Z test_quick_index_select_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2441052Z test_quick_index_select_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2441194Z test_quick_index_select_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2441333Z test_quick_index_select_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2441472Z test_quick_index_select_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2441613Z test_quick_index_select_cpu_float32 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2441751Z test_quick_index_select_cpu_float64 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2441885Z test_quick_index_select_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2442005Z test_quick_index_select_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2442138Z test_quick_index_select_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2442273Z test_quick_index_select_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2442403Z test_quick_index_select_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2442535Z test_quick_isinf_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2442663Z test_quick_isinf_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2442799Z test_quick_isinf_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.040s) 2022-11-23T01:37:01.2442932Z test_quick_isinf_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.042s) 2022-11-23T01:37:01.2443049Z test_quick_isinf_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.042s) 2022-11-23T01:37:01.2443179Z test_quick_isinf_cpu_float16 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2443309Z test_quick_isinf_cpu_float32 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.2443437Z test_quick_isinf_cpu_float64 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2443569Z test_quick_isinf_cpu_int16 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2443693Z test_quick_isinf_cpu_int32 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2443815Z test_quick_isinf_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2443941Z test_quick_isinf_cpu_int8 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2444077Z test_quick_isinf_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2444211Z test_quick_isnan_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2444339Z test_quick_isnan_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2444473Z test_quick_isnan_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.039s) 2022-11-23T01:37:01.2444605Z test_quick_isnan_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.040s) 2022-11-23T01:37:01.2444736Z test_quick_isnan_cpu_float16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2444866Z test_quick_isnan_cpu_float32 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.2445033Z test_quick_isnan_cpu_float64 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2445147Z test_quick_isnan_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2445274Z test_quick_isnan_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2445398Z test_quick_isnan_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2445525Z test_quick_isnan_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2445649Z test_quick_isnan_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.2445784Z test_quick_isneginf_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2445914Z test_quick_isneginf_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2446047Z test_quick_isneginf_cpu_float16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2446167Z test_quick_isneginf_cpu_float32 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2446300Z test_quick_isneginf_cpu_float64 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2446432Z test_quick_isneginf_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2446563Z test_quick_isneginf_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2446695Z test_quick_isneginf_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2446826Z test_quick_isneginf_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2446954Z test_quick_isneginf_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2447090Z test_quick_isposinf_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2447212Z test_quick_isposinf_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2447344Z test_quick_isposinf_cpu_float16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2447475Z test_quick_isposinf_cpu_float32 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2447607Z test_quick_isposinf_cpu_float64 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2447738Z test_quick_isposinf_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2447868Z test_quick_isposinf_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2447998Z test_quick_isposinf_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2448126Z test_quick_isposinf_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2448241Z test_quick_isposinf_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2448371Z test_quick_lcm_cpu_int16 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2448492Z test_quick_lcm_cpu_int32 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2448612Z test_quick_lcm_cpu_int64 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2448736Z test_quick_lcm_cpu_int8 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2448858Z test_quick_lcm_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2448984Z test_quick_le_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.043s) 2022-11-23T01:37:01.2449107Z test_quick_le_cpu_bool (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2449252Z test_quick_le_cpu_float16 (__main__.TestDecompCPU) ... ok (0.044s) 2022-11-23T01:37:01.2449377Z test_quick_le_cpu_float32 (__main__.TestDecompCPU) ... ok (0.076s) 2022-11-23T01:37:01.2449499Z test_quick_le_cpu_float64 (__main__.TestDecompCPU) ... ok (0.074s) 2022-11-23T01:37:01.2449621Z test_quick_le_cpu_int16 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2449741Z test_quick_le_cpu_int32 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2449859Z test_quick_le_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2449979Z test_quick_le_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2450117Z test_quick_le_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2450248Z test_quick_lerp_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2450383Z test_quick_lerp_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.198s) 2022-11-23T01:37:01.2450518Z test_quick_lerp_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.210s) 2022-11-23T01:37:01.2450648Z test_quick_lerp_cpu_float32 (__main__.TestDecompCPU) ... ok (0.083s) 2022-11-23T01:37:01.2450781Z test_quick_lerp_cpu_float64 (__main__.TestDecompCPU) ... ok (0.079s) 2022-11-23T01:37:01.2450912Z test_quick_lgamma_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2451043Z test_quick_lgamma_cpu_bool (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2451160Z test_quick_lgamma_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2451289Z test_quick_lgamma_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2451418Z test_quick_lgamma_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2451549Z test_quick_lgamma_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2451679Z test_quick_lgamma_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2451805Z test_quick_lgamma_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2451934Z test_quick_lgamma_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2452081Z test_quick_linalg_vector_norm_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.146s) 2022-11-23T01:37:01.2452218Z test_quick_linalg_vector_norm_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.604s) 2022-11-23T01:37:01.2452366Z test_quick_linalg_vector_norm_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.629s) 2022-11-23T01:37:01.2452511Z test_quick_linalg_vector_norm_cpu_float16 (__main__.TestDecompCPU) ... ok (0.146s) 2022-11-23T01:37:01.2452654Z test_quick_linalg_vector_norm_cpu_float32 (__main__.TestDecompCPU) ... ok (0.407s) 2022-11-23T01:37:01.2452795Z test_quick_linalg_vector_norm_cpu_float64 (__main__.TestDecompCPU) ... ok (0.394s) 2022-11-23T01:37:01.2452932Z test_quick_linspace_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.2453072Z test_quick_linspace_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.033s) 2022-11-23T01:37:01.2453214Z test_quick_linspace_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.035s) 2022-11-23T01:37:01.2453335Z test_quick_linspace_cpu_float16 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.2453469Z test_quick_linspace_cpu_float32 (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.2453600Z test_quick_linspace_cpu_float64 (__main__.TestDecompCPU) ... ok (0.026s) 2022-11-23T01:37:01.2453731Z test_quick_linspace_cpu_int16 (__main__.TestDecompCPU) ... ok (0.031s) 2022-11-23T01:37:01.2453862Z test_quick_linspace_cpu_int32 (__main__.TestDecompCPU) ... ok (0.031s) 2022-11-23T01:37:01.2453993Z test_quick_linspace_cpu_int64 (__main__.TestDecompCPU) ... ok (0.030s) 2022-11-23T01:37:01.2454127Z test_quick_linspace_cpu_int8 (__main__.TestDecompCPU) ... ok (0.032s) 2022-11-23T01:37:01.2454256Z test_quick_linspace_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.026s) 2022-11-23T01:37:01.2454372Z test_quick_log10_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2454542Z test_quick_log10_cpu_bool (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2454677Z test_quick_log10_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2454810Z test_quick_log10_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2454939Z test_quick_log10_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2455067Z test_quick_log10_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2455193Z test_quick_log10_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2455316Z test_quick_log10_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2455450Z test_quick_log10_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2455579Z test_quick_log10_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2455700Z test_quick_log10_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2455834Z test_quick_log1p_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2455964Z test_quick_log1p_cpu_bool (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2456096Z test_quick_log1p_cpu_float32 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2456225Z test_quick_log1p_cpu_float64 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2456353Z test_quick_log1p_cpu_int16 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2456464Z test_quick_log1p_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2456586Z test_quick_log1p_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2456716Z test_quick_log1p_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2456839Z test_quick_log1p_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2456969Z test_quick_log2_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2457096Z test_quick_log2_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2457231Z test_quick_log2_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2457365Z test_quick_log2_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2457481Z test_quick_log2_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2457608Z test_quick_log2_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2457735Z test_quick_log2_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2457857Z test_quick_log2_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2457975Z test_quick_log2_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2458101Z test_quick_log2_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2458222Z test_quick_log2_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2458336Z test_quick_log_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2458463Z test_quick_log_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2458596Z test_quick_log_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2458726Z test_quick_log_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2458961Z test_quick_log_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2459085Z test_quick_log_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2459209Z test_quick_log_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2459331Z test_quick_log_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2459440Z test_quick_log_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2459564Z test_quick_log_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2459685Z test_quick_log_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2459871Z test_quick_log_softmax_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2460011Z test_quick_log_softmax_cpu_float32 (__main__.TestDecompCPU) ... ok (0.079s) 2022-11-23T01:37:01.2460149Z test_quick_log_softmax_cpu_float64 (__main__.TestDecompCPU) ... ok (0.076s) 2022-11-23T01:37:01.2460289Z test_quick_logical_and_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.043s) 2022-11-23T01:37:01.2460426Z test_quick_logical_and_cpu_bool (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.2460557Z test_quick_logical_and_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.134s) 2022-11-23T01:37:01.2460701Z test_quick_logical_and_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.136s) 2022-11-23T01:37:01.2460909Z test_quick_logical_and_cpu_float16 (__main__.TestDecompCPU) ... ok (0.044s) 2022-11-23T01:37:01.2461046Z test_quick_logical_and_cpu_float32 (__main__.TestDecompCPU) ... ok (0.076s) 2022-11-23T01:37:01.2461179Z test_quick_logical_and_cpu_float64 (__main__.TestDecompCPU) ... ok (0.074s) 2022-11-23T01:37:01.2461316Z test_quick_logical_and_cpu_int16 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2461450Z test_quick_logical_and_cpu_int32 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2461581Z test_quick_logical_and_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2461700Z test_quick_logical_and_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2461831Z test_quick_logical_and_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2461972Z test_quick_logical_not_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2462104Z test_quick_logical_not_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2462246Z test_quick_logical_not_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2462387Z test_quick_logical_not_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2462522Z test_quick_logical_not_cpu_float16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2462659Z test_quick_logical_not_cpu_float32 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2462778Z test_quick_logical_not_cpu_float64 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2462913Z test_quick_logical_not_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2463047Z test_quick_logical_not_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2463179Z test_quick_logical_not_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2463312Z test_quick_logical_not_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2463443Z test_quick_logical_not_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2463577Z test_quick_logical_or_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.044s) 2022-11-23T01:37:01.2463710Z test_quick_logical_or_cpu_bool (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2463839Z test_quick_logical_or_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.136s) 2022-11-23T01:37:01.2463978Z test_quick_logical_or_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.139s) 2022-11-23T01:37:01.2464115Z test_quick_logical_or_cpu_float16 (__main__.TestDecompCPU) ... ok (0.045s) 2022-11-23T01:37:01.2464249Z test_quick_logical_or_cpu_float32 (__main__.TestDecompCPU) ... ok (0.077s) 2022-11-23T01:37:01.2464384Z test_quick_logical_or_cpu_float64 (__main__.TestDecompCPU) ... ok (0.076s) 2022-11-23T01:37:01.2464515Z test_quick_logical_or_cpu_int16 (__main__.TestDecompCPU) ... ok (0.050s) 2022-11-23T01:37:01.2464647Z test_quick_logical_or_cpu_int32 (__main__.TestDecompCPU) ... ok (0.050s) 2022-11-23T01:37:01.2464778Z test_quick_logical_or_cpu_int64 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2464895Z test_quick_logical_or_cpu_int8 (__main__.TestDecompCPU) ... ok (0.050s) 2022-11-23T01:37:01.2465025Z test_quick_logical_or_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2465191Z test_quick_logical_xor_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.043s) 2022-11-23T01:37:01.2465327Z test_quick_logical_xor_cpu_bool (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.2465469Z test_quick_logical_xor_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.135s) 2022-11-23T01:37:01.2465611Z test_quick_logical_xor_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.137s) 2022-11-23T01:37:01.2465744Z test_quick_logical_xor_cpu_float16 (__main__.TestDecompCPU) ... ok (0.044s) 2022-11-23T01:37:01.2465879Z test_quick_logical_xor_cpu_float32 (__main__.TestDecompCPU) ... ok (0.076s) 2022-11-23T01:37:01.2466026Z test_quick_logical_xor_cpu_float64 (__main__.TestDecompCPU) ... ok (0.075s) 2022-11-23T01:37:01.2466159Z test_quick_logical_xor_cpu_int16 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2466291Z test_quick_logical_xor_cpu_int32 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2466420Z test_quick_logical_xor_cpu_int64 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2466553Z test_quick_logical_xor_cpu_int8 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2466683Z test_quick_logical_xor_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2466813Z test_quick_logit_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2466942Z test_quick_logit_cpu_bool (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2467058Z test_quick_logit_cpu_float32 (__main__.TestDecompCPU) ... ok (0.058s) 2022-11-23T01:37:01.2467187Z test_quick_logit_cpu_float64 (__main__.TestDecompCPU) ... ok (0.057s) 2022-11-23T01:37:01.2467319Z test_quick_logit_cpu_int16 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2467442Z test_quick_logit_cpu_int32 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2467564Z test_quick_logit_cpu_int64 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2467692Z test_quick_logit_cpu_int8 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2467818Z test_quick_logit_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2467953Z test_quick_logspace_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.162s) 2022-11-23T01:37:01.2468154Z test_quick_logspace_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.278s) 2022-11-23T01:37:01.2468297Z test_quick_logspace_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.289s) 2022-11-23T01:37:01.2468431Z test_quick_logspace_cpu_float32 (__main__.TestDecompCPU) ... ok (0.258s) 2022-11-23T01:37:01.2468565Z test_quick_logspace_cpu_float64 (__main__.TestDecompCPU) ... ok (0.236s) 2022-11-23T01:37:01.2468701Z test_quick_logspace_cpu_int16 (__main__.TestDecompCPU) ... ok (0.187s) 2022-11-23T01:37:01.2468833Z test_quick_logspace_cpu_int32 (__main__.TestDecompCPU) ... ok (0.188s) 2022-11-23T01:37:01.2468964Z test_quick_logspace_cpu_int64 (__main__.TestDecompCPU) ... ok (0.174s) 2022-11-23T01:37:01.2469098Z test_quick_logspace_cpu_int8 (__main__.TestDecompCPU) ... ok (0.076s) 2022-11-23T01:37:01.2469216Z test_quick_logspace_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.061s) 2022-11-23T01:37:01.2469355Z test_quick_logsumexp_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2469487Z test_quick_logsumexp_cpu_bool (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2469622Z test_quick_logsumexp_cpu_float32 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.2469755Z test_quick_logsumexp_cpu_float64 (__main__.TestDecompCPU) ... ok (0.045s) 2022-11-23T01:37:01.2469888Z test_quick_logsumexp_cpu_int16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2470024Z test_quick_logsumexp_cpu_int32 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2470156Z test_quick_logsumexp_cpu_int64 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2470276Z test_quick_logsumexp_cpu_int8 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2470406Z test_quick_logsumexp_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2470564Z test_quick_lt_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.043s) 2022-11-23T01:37:01.2470693Z test_quick_lt_cpu_bool (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2470824Z test_quick_lt_cpu_float16 (__main__.TestDecompCPU) ... ok (0.044s) 2022-11-23T01:37:01.2470946Z test_quick_lt_cpu_float32 (__main__.TestDecompCPU) ... ok (0.075s) 2022-11-23T01:37:01.2471068Z test_quick_lt_cpu_float64 (__main__.TestDecompCPU) ... ok (0.074s) 2022-11-23T01:37:01.2471190Z test_quick_lt_cpu_int16 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2471296Z test_quick_lt_cpu_int32 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2471440Z test_quick_lt_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2471563Z test_quick_lt_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2471686Z test_quick_lt_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2471826Z test_quick_masked_fill_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2471960Z test_quick_masked_fill_cpu_bool (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.2472106Z test_quick_masked_fill_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.040s) 2022-11-23T01:37:01.2472245Z test_quick_masked_fill_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.042s) 2022-11-23T01:37:01.2472372Z test_quick_masked_fill_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.042s) 2022-11-23T01:37:01.2472509Z test_quick_masked_fill_cpu_float16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2472645Z test_quick_masked_fill_cpu_float32 (__main__.TestDecompCPU) ... ok (0.027s) 2022-11-23T01:37:01.2472781Z test_quick_masked_fill_cpu_float64 (__main__.TestDecompCPU) ... ok (0.026s) 2022-11-23T01:37:01.2472913Z test_quick_masked_fill_cpu_int16 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.2473045Z test_quick_masked_fill_cpu_int32 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.2473177Z test_quick_masked_fill_cpu_int64 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2473310Z test_quick_masked_fill_cpu_int8 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.2473426Z test_quick_masked_fill_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.2473557Z test_quick_maximum_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2473688Z test_quick_maximum_cpu_bool (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2473820Z test_quick_maximum_cpu_float16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2473953Z test_quick_maximum_cpu_float32 (__main__.TestDecompCPU) ... ok (0.078s) 2022-11-23T01:37:01.2474087Z test_quick_maximum_cpu_float64 (__main__.TestDecompCPU) ... ok (0.077s) 2022-11-23T01:37:01.2474216Z test_quick_maximum_cpu_int16 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2474345Z test_quick_maximum_cpu_int32 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2474463Z test_quick_maximum_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2474592Z test_quick_maximum_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2474719Z test_quick_maximum_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2474849Z test_quick_mean_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2474980Z test_quick_mean_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.070s) 2022-11-23T01:37:01.2475112Z test_quick_mean_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.073s) 2022-11-23T01:37:01.2475243Z test_quick_mean_cpu_float16 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2475371Z test_quick_mean_cpu_float32 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2475485Z test_quick_mean_cpu_float64 (__main__.TestDecompCPU) ... ok (0.045s) 2022-11-23T01:37:01.2475718Z test_quick_meshgrid_list_of_tensors_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: meshgrid in torch.bfloat16 not supported (0.001s) 2022-11-23T01:37:01.2475918Z test_quick_meshgrid_list_of_tensors_cpu_bool (__main__.TestDecompCPU) ... skip: meshgrid in torch.bool not supported (0.001s) 2022-11-23T01:37:01.2476128Z test_quick_meshgrid_list_of_tensors_cpu_complex128 (__main__.TestDecompCPU) ... skip: meshgrid in torch.complex128 not supported (0.001s) 2022-11-23T01:37:01.2476336Z test_quick_meshgrid_list_of_tensors_cpu_complex64 (__main__.TestDecompCPU) ... skip: meshgrid in torch.complex64 not supported (0.001s) 2022-11-23T01:37:01.2476536Z test_quick_meshgrid_list_of_tensors_cpu_float16 (__main__.TestDecompCPU) ... skip: meshgrid in torch.float16 not supported (0.001s) 2022-11-23T01:37:01.2476755Z test_quick_meshgrid_list_of_tensors_cpu_float32 (__main__.TestDecompCPU) ... skip: meshgrid in torch.float32 not supported (0.001s) 2022-11-23T01:37:01.2476942Z test_quick_meshgrid_list_of_tensors_cpu_float64 (__main__.TestDecompCPU) ... skip: meshgrid in torch.float64 not supported (0.001s) 2022-11-23T01:37:01.2477135Z test_quick_meshgrid_list_of_tensors_cpu_int16 (__main__.TestDecompCPU) ... skip: meshgrid in torch.int16 not supported (0.001s) 2022-11-23T01:37:01.2477328Z test_quick_meshgrid_list_of_tensors_cpu_int32 (__main__.TestDecompCPU) ... skip: meshgrid in torch.int32 not supported (0.001s) 2022-11-23T01:37:01.2477505Z test_quick_meshgrid_list_of_tensors_cpu_int64 (__main__.TestDecompCPU) ... skip: meshgrid in torch.int64 not supported (0.001s) 2022-11-23T01:37:01.2477698Z test_quick_meshgrid_list_of_tensors_cpu_int8 (__main__.TestDecompCPU) ... skip: meshgrid in torch.int8 not supported (0.001s) 2022-11-23T01:37:01.2477889Z test_quick_meshgrid_list_of_tensors_cpu_uint8 (__main__.TestDecompCPU) ... skip: meshgrid in torch.uint8 not supported (0.001s) 2022-11-23T01:37:01.2478095Z test_quick_meshgrid_variadic_tensors_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: meshgrid in torch.bfloat16 not supported (0.001s) 2022-11-23T01:37:01.2478296Z test_quick_meshgrid_variadic_tensors_cpu_bool (__main__.TestDecompCPU) ... skip: meshgrid in torch.bool not supported (0.001s) 2022-11-23T01:37:01.2478507Z test_quick_meshgrid_variadic_tensors_cpu_complex128 (__main__.TestDecompCPU) ... skip: meshgrid in torch.complex128 not supported (0.001s) 2022-11-23T01:37:01.2478717Z test_quick_meshgrid_variadic_tensors_cpu_complex64 (__main__.TestDecompCPU) ... skip: meshgrid in torch.complex64 not supported (0.001s) 2022-11-23T01:37:01.2478917Z test_quick_meshgrid_variadic_tensors_cpu_float16 (__main__.TestDecompCPU) ... skip: meshgrid in torch.float16 not supported (0.001s) 2022-11-23T01:37:01.2479120Z test_quick_meshgrid_variadic_tensors_cpu_float32 (__main__.TestDecompCPU) ... skip: meshgrid in torch.float32 not supported (0.001s) 2022-11-23T01:37:01.2479321Z test_quick_meshgrid_variadic_tensors_cpu_float64 (__main__.TestDecompCPU) ... skip: meshgrid in torch.float64 not supported (0.001s) 2022-11-23T01:37:01.2479507Z test_quick_meshgrid_variadic_tensors_cpu_int16 (__main__.TestDecompCPU) ... skip: meshgrid in torch.int16 not supported (0.001s) 2022-11-23T01:37:01.2479696Z test_quick_meshgrid_variadic_tensors_cpu_int32 (__main__.TestDecompCPU) ... skip: meshgrid in torch.int32 not supported (0.001s) 2022-11-23T01:37:01.2479880Z test_quick_meshgrid_variadic_tensors_cpu_int64 (__main__.TestDecompCPU) ... skip: meshgrid in torch.int64 not supported (0.001s) 2022-11-23T01:37:01.2480074Z test_quick_meshgrid_variadic_tensors_cpu_int8 (__main__.TestDecompCPU) ... skip: meshgrid in torch.int8 not supported (0.001s) 2022-11-23T01:37:01.2480273Z test_quick_meshgrid_variadic_tensors_cpu_uint8 (__main__.TestDecompCPU) ... skip: meshgrid in torch.uint8 not supported (0.001s) 2022-11-23T01:37:01.2480412Z test_quick_minimum_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2480543Z test_quick_minimum_cpu_bool (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2480675Z test_quick_minimum_cpu_float16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2480834Z test_quick_minimum_cpu_float32 (__main__.TestDecompCPU) ... ok (0.078s) 2022-11-23T01:37:01.2480954Z test_quick_minimum_cpu_float64 (__main__.TestDecompCPU) ... ok (0.077s) 2022-11-23T01:37:01.2481084Z test_quick_minimum_cpu_int16 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2481213Z test_quick_minimum_cpu_int32 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2481342Z test_quick_minimum_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2481473Z test_quick_minimum_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2481602Z test_quick_minimum_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2481756Z test_quick_mul_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2481880Z test_quick_mul_cpu_bool (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2482000Z test_quick_mul_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.139s) 2022-11-23T01:37:01.2482131Z test_quick_mul_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.143s) 2022-11-23T01:37:01.2482261Z test_quick_mul_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.141s) 2022-11-23T01:37:01.2482390Z test_quick_mul_cpu_float16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2482514Z test_quick_mul_cpu_float32 (__main__.TestDecompCPU) ... ok (0.079s) 2022-11-23T01:37:01.2482637Z test_quick_mul_cpu_float64 (__main__.TestDecompCPU) ... ok (0.076s) 2022-11-23T01:37:01.2482760Z test_quick_mul_cpu_int16 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2482880Z test_quick_mul_cpu_int32 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2482987Z test_quick_mul_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2483109Z test_quick_mul_cpu_int8 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2483228Z test_quick_mul_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2483355Z test_quick_mv_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2483484Z test_quick_mv_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2483616Z test_quick_mv_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2483744Z test_quick_mv_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2483854Z test_quick_mv_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2483977Z test_quick_mv_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2484096Z test_quick_mv_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2484215Z test_quick_mv_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2484336Z test_quick_mv_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2484461Z test_quick_mv_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2484615Z test_quick_mvlgamma_mvlgamma_p_1_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2484767Z test_quick_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestDecompCPU) ... ok (0.026s) 2022-11-23T01:37:01.2484904Z test_quick_mvlgamma_mvlgamma_p_1_cpu_float64 (__main__.TestDecompCPU) ... ok (0.025s) 2022-11-23T01:37:01.2485050Z test_quick_mvlgamma_mvlgamma_p_1_cpu_int16 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2485192Z test_quick_mvlgamma_mvlgamma_p_1_cpu_int32 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.2485331Z test_quick_mvlgamma_mvlgamma_p_1_cpu_int64 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2485476Z test_quick_mvlgamma_mvlgamma_p_1_cpu_int8 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2485618Z test_quick_mvlgamma_mvlgamma_p_1_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2485767Z test_quick_mvlgamma_mvlgamma_p_3_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2485943Z test_quick_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestDecompCPU) ... ok (0.026s) 2022-11-23T01:37:01.2486091Z test_quick_mvlgamma_mvlgamma_p_3_cpu_float64 (__main__.TestDecompCPU) ... ok (0.025s) 2022-11-23T01:37:01.2486225Z test_quick_mvlgamma_mvlgamma_p_3_cpu_int16 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2486365Z test_quick_mvlgamma_mvlgamma_p_3_cpu_int32 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2486503Z test_quick_mvlgamma_mvlgamma_p_3_cpu_int64 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2486648Z test_quick_mvlgamma_mvlgamma_p_3_cpu_int8 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2486789Z test_quick_mvlgamma_mvlgamma_p_3_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2486967Z test_quick_mvlgamma_mvlgamma_p_5_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2487113Z test_quick_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestDecompCPU) ... ok (0.026s) 2022-11-23T01:37:01.2487262Z test_quick_mvlgamma_mvlgamma_p_5_cpu_float64 (__main__.TestDecompCPU) ... ok (0.025s) 2022-11-23T01:37:01.2487393Z test_quick_mvlgamma_mvlgamma_p_5_cpu_int16 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2487534Z test_quick_mvlgamma_mvlgamma_p_5_cpu_int32 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2487669Z test_quick_mvlgamma_mvlgamma_p_5_cpu_int64 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2487814Z test_quick_mvlgamma_mvlgamma_p_5_cpu_int8 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2487952Z test_quick_mvlgamma_mvlgamma_p_5_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2488091Z test_quick_nan_to_num_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2488222Z test_quick_nan_to_num_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2488358Z test_quick_nan_to_num_cpu_float16 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2488479Z test_quick_nan_to_num_cpu_float32 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2488613Z test_quick_nan_to_num_cpu_float64 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2488747Z test_quick_nan_to_num_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2488877Z test_quick_nan_to_num_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2489006Z test_quick_nan_to_num_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2489136Z test_quick_nan_to_num_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2489267Z test_quick_nan_to_num_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2489408Z test_quick_narrow_copy_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2489526Z test_quick_narrow_copy_cpu_bool (__main__.TestDecompCPU) ... ok (0.027s) 2022-11-23T01:37:01.2489669Z test_quick_narrow_copy_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.072s) 2022-11-23T01:37:01.2489810Z test_quick_narrow_copy_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.074s) 2022-11-23T01:37:01.2489952Z test_quick_narrow_copy_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.074s) 2022-11-23T01:37:01.2490093Z test_quick_narrow_copy_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2490230Z test_quick_narrow_copy_cpu_float32 (__main__.TestDecompCPU) ... ok (0.041s) 2022-11-23T01:37:01.2490363Z test_quick_narrow_copy_cpu_float64 (__main__.TestDecompCPU) ... ok (0.040s) 2022-11-23T01:37:01.2490497Z test_quick_narrow_copy_cpu_int16 (__main__.TestDecompCPU) ... ok (0.028s) 2022-11-23T01:37:01.2490615Z test_quick_narrow_copy_cpu_int32 (__main__.TestDecompCPU) ... ok (0.028s) 2022-11-23T01:37:01.2490746Z test_quick_narrow_copy_cpu_int64 (__main__.TestDecompCPU) ... ok (0.027s) 2022-11-23T01:37:01.2490878Z test_quick_narrow_copy_cpu_int8 (__main__.TestDecompCPU) ... ok (0.028s) 2022-11-23T01:37:01.2491006Z test_quick_narrow_copy_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.028s) 2022-11-23T01:37:01.2491189Z test_quick_native_batch_norm_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.2491338Z test_quick_native_batch_norm_cpu_float32 (__main__.TestDecompCPU) ... ok (0.194s) 2022-11-23T01:37:01.2491476Z test_quick_native_batch_norm_cpu_float64 (__main__.TestDecompCPU) ... ok (0.186s) 2022-11-23T01:37:01.2491631Z test_quick_native_dropout_backward_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2491769Z test_quick_native_dropout_backward_cpu_bool (__main__.TestDecompCPU) ... ok (0.151s) 2022-11-23T01:37:01.2491922Z test_quick_native_dropout_backward_cpu_float16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2492101Z test_quick_native_dropout_backward_cpu_float32 (__main__.TestDecompCPU) ... ok (0.189s) 2022-11-23T01:37:01.2492252Z test_quick_native_dropout_backward_cpu_float64 (__main__.TestDecompCPU) ... ok (0.184s) 2022-11-23T01:37:01.2492401Z test_quick_native_dropout_backward_cpu_int16 (__main__.TestDecompCPU) ... ok (0.151s) 2022-11-23T01:37:01.2492551Z test_quick_native_dropout_backward_cpu_int32 (__main__.TestDecompCPU) ... ok (0.151s) 2022-11-23T01:37:01.2492699Z test_quick_native_dropout_backward_cpu_int64 (__main__.TestDecompCPU) ... ok (0.151s) 2022-11-23T01:37:01.2492850Z test_quick_native_dropout_backward_cpu_int8 (__main__.TestDecompCPU) ... ok (0.151s) 2022-11-23T01:37:01.2492995Z test_quick_native_dropout_backward_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.151s) 2022-11-23T01:37:01.2493128Z test_quick_native_layer_norm_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.025s) 2022-11-23T01:37:01.2493271Z test_quick_native_layer_norm_cpu_float32 (__main__.TestDecompCPU) ... ok (0.152s) 2022-11-23T01:37:01.2493411Z test_quick_native_layer_norm_cpu_float64 (__main__.TestDecompCPU) ... ok (0.143s) 2022-11-23T01:37:01.2493541Z test_quick_ne_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.043s) 2022-11-23T01:37:01.2493664Z test_quick_ne_cpu_bool (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2493798Z test_quick_ne_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.135s) 2022-11-23T01:37:01.2493930Z test_quick_ne_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.137s) 2022-11-23T01:37:01.2494056Z test_quick_ne_cpu_float16 (__main__.TestDecompCPU) ... ok (0.044s) 2022-11-23T01:37:01.2494165Z test_quick_ne_cpu_float32 (__main__.TestDecompCPU) ... ok (0.076s) 2022-11-23T01:37:01.2494286Z test_quick_ne_cpu_float64 (__main__.TestDecompCPU) ... ok (0.074s) 2022-11-23T01:37:01.2494408Z test_quick_ne_cpu_int16 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2494528Z test_quick_ne_cpu_int32 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2494649Z test_quick_ne_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2494771Z test_quick_ne_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2494895Z test_quick_ne_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2495026Z test_quick_neg_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2495145Z test_quick_neg_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.040s) 2022-11-23T01:37:01.2495276Z test_quick_neg_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.040s) 2022-11-23T01:37:01.2495406Z test_quick_neg_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.040s) 2022-11-23T01:37:01.2495534Z test_quick_neg_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2495657Z test_quick_neg_cpu_float32 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2495779Z test_quick_neg_cpu_float64 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2495906Z test_quick_neg_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2496014Z test_quick_neg_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2496134Z test_quick_neg_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2496255Z test_quick_neg_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2496402Z test_quick_neg_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2496595Z test_quick_new_empty_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: new_empty in torch.bfloat16 not supported (0.001s) 2022-11-23T01:37:01.2496775Z test_quick_new_empty_cpu_bool (__main__.TestDecompCPU) ... skip: new_empty in torch.bool not supported (0.001s) 2022-11-23T01:37:01.2496970Z test_quick_new_empty_cpu_complex128 (__main__.TestDecompCPU) ... skip: new_empty in torch.complex128 not supported (0.001s) 2022-11-23T01:37:01.2497162Z test_quick_new_empty_cpu_complex32 (__main__.TestDecompCPU) ... skip: new_empty in torch.complex32 not supported (0.001s) 2022-11-23T01:37:01.2497376Z test_quick_new_empty_cpu_complex64 (__main__.TestDecompCPU) ... skip: new_empty in torch.complex64 not supported (0.001s) 2022-11-23T01:37:01.2497547Z test_quick_new_empty_cpu_float16 (__main__.TestDecompCPU) ... skip: new_empty in torch.float16 not supported (0.001s) 2022-11-23T01:37:01.2497735Z test_quick_new_empty_cpu_float32 (__main__.TestDecompCPU) ... skip: new_empty in torch.float32 not supported (0.001s) 2022-11-23T01:37:01.2497917Z test_quick_new_empty_cpu_float64 (__main__.TestDecompCPU) ... skip: new_empty in torch.float64 not supported (0.001s) 2022-11-23T01:37:01.2498094Z test_quick_new_empty_cpu_int16 (__main__.TestDecompCPU) ... skip: new_empty in torch.int16 not supported (0.001s) 2022-11-23T01:37:01.2498267Z test_quick_new_empty_cpu_int32 (__main__.TestDecompCPU) ... skip: new_empty in torch.int32 not supported (0.001s) 2022-11-23T01:37:01.2498437Z test_quick_new_empty_cpu_int64 (__main__.TestDecompCPU) ... skip: new_empty in torch.int64 not supported (0.001s) 2022-11-23T01:37:01.2498614Z test_quick_new_empty_cpu_int8 (__main__.TestDecompCPU) ... skip: new_empty in torch.int8 not supported (0.001s) 2022-11-23T01:37:01.2499021Z test_quick_new_empty_cpu_uint8 (__main__.TestDecompCPU) ... skip: new_empty in torch.uint8 not supported (0.001s) 2022-11-23T01:37:01.2499226Z test_quick_new_empty_strided_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.2499422Z test_quick_new_empty_strided_cpu_bool (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.2499613Z test_quick_new_empty_strided_cpu_complex128 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.2499814Z test_quick_new_empty_strided_cpu_complex32 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.2500017Z test_quick_new_empty_strided_cpu_complex64 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.2500217Z test_quick_new_empty_strided_cpu_float16 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.2500413Z test_quick_new_empty_strided_cpu_float32 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.2500603Z test_quick_new_empty_strided_cpu_float64 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.2500796Z test_quick_new_empty_strided_cpu_int16 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.2500986Z test_quick_new_empty_strided_cpu_int32 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.2501173Z test_quick_new_empty_strided_cpu_int64 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.2501367Z test_quick_new_empty_strided_cpu_int8 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.2501547Z test_quick_new_empty_strided_cpu_uint8 (__main__.TestDecompCPU) ... skip: Expected: new_empty_strided is not comparable (0.000s) 2022-11-23T01:37:01.2501728Z test_quick_new_full_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2501862Z test_quick_new_full_cpu_bool (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2502000Z test_quick_new_full_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2502138Z test_quick_new_full_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2502275Z test_quick_new_full_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2502406Z test_quick_new_full_cpu_float16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2502574Z test_quick_new_full_cpu_float32 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2502691Z test_quick_new_full_cpu_float64 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2502822Z test_quick_new_full_cpu_int16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2502955Z test_quick_new_full_cpu_int32 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2503083Z test_quick_new_full_cpu_int64 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2503214Z test_quick_new_full_cpu_int8 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2503343Z test_quick_new_full_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2503477Z test_quick_new_ones_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2503604Z test_quick_new_ones_cpu_bool (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2503729Z test_quick_new_ones_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.2503869Z test_quick_new_ones_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2504008Z test_quick_new_ones_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2504142Z test_quick_new_ones_cpu_float16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2504276Z test_quick_new_ones_cpu_float32 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2504406Z test_quick_new_ones_cpu_float64 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2504535Z test_quick_new_ones_cpu_int16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2504664Z test_quick_new_ones_cpu_int32 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2504779Z test_quick_new_ones_cpu_int64 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2504907Z test_quick_new_ones_cpu_int8 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2505039Z test_quick_new_ones_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2505177Z test_quick_new_zeros_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2505307Z test_quick_new_zeros_cpu_bool (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2505446Z test_quick_new_zeros_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.2505585Z test_quick_new_zeros_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2505721Z test_quick_new_zeros_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2505840Z test_quick_new_zeros_cpu_float16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2505979Z test_quick_new_zeros_cpu_float32 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2506169Z test_quick_new_zeros_cpu_float64 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2506353Z test_quick_new_zeros_cpu_int16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2506507Z test_quick_new_zeros_cpu_int32 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2506640Z test_quick_new_zeros_cpu_int64 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2506769Z test_quick_new_zeros_cpu_int8 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2506898Z test_quick_new_zeros_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2507066Z test_quick_nextafter_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2507203Z test_quick_nextafter_cpu_float32 (__main__.TestDecompCPU) ... ok (0.079s) 2022-11-23T01:37:01.2507340Z test_quick_nextafter_cpu_float64 (__main__.TestDecompCPU) ... ok (0.076s) 2022-11-23T01:37:01.2507506Z test_quick_nn_functional_binary_cross_entropy_cpu_float32 (__main__.TestDecompCPU) ... ok (0.354s) 2022-11-23T01:37:01.2507667Z test_quick_nn_functional_binary_cross_entropy_cpu_float64 (__main__.TestDecompCPU) ... ok (0.340s) 2022-11-23T01:37:01.2507846Z test_quick_nn_functional_binary_cross_entropy_with_logits_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.028s) 2022-11-23T01:37:01.2508050Z test_quick_nn_functional_binary_cross_entropy_with_logits_cpu_float32 (__main__.TestDecompCPU) ... ok (0.170s) 2022-11-23T01:37:01.2508297Z test_quick_nn_functional_binary_cross_entropy_with_logits_cpu_float64 (__main__.TestDecompCPU) ... ok (0.167s) 2022-11-23T01:37:01.2508448Z test_quick_nn_functional_elu_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2508579Z test_quick_nn_functional_elu_cpu_float32 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2508719Z test_quick_nn_functional_elu_cpu_float64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2508873Z test_quick_nn_functional_embedding_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2509024Z test_quick_nn_functional_embedding_cpu_float16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2509176Z test_quick_nn_functional_embedding_cpu_float32 (__main__.TestDecompCPU) ... ok (0.030s) 2022-11-23T01:37:01.2509328Z test_quick_nn_functional_embedding_cpu_float64 (__main__.TestDecompCPU) ... ok (0.030s) 2022-11-23T01:37:01.2509475Z test_quick_nn_functional_gelu_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2509621Z test_quick_nn_functional_gelu_cpu_float32 (__main__.TestDecompCPU) ... ok (0.155s) 2022-11-23T01:37:01.2509751Z test_quick_nn_functional_gelu_cpu_float64 (__main__.TestDecompCPU) ... ok (0.149s) 2022-11-23T01:37:01.2509893Z test_quick_nn_functional_glu_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.037s) 2022-11-23T01:37:01.2510038Z test_quick_nn_functional_glu_cpu_float32 (__main__.TestDecompCPU) ... ok (0.909s) 2022-11-23T01:37:01.2510178Z test_quick_nn_functional_glu_cpu_float64 (__main__.TestDecompCPU) ... ok (0.901s) 2022-11-23T01:37:01.2510335Z test_quick_nn_functional_hardshrink_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2510490Z test_quick_nn_functional_hardshrink_cpu_float32 (__main__.TestDecompCPU) ... ok (0.039s) 2022-11-23T01:37:01.2510647Z test_quick_nn_functional_hardshrink_cpu_float64 (__main__.TestDecompCPU) ... ok (0.037s) 2022-11-23T01:37:01.2510803Z test_quick_nn_functional_hardsigmoid_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2510943Z test_quick_nn_functional_hardsigmoid_cpu_float32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2511104Z test_quick_nn_functional_hardsigmoid_cpu_float64 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2511253Z test_quick_nn_functional_hardswish_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2511402Z test_quick_nn_functional_hardswish_cpu_float32 (__main__.TestDecompCPU) ... ok (0.076s) 2022-11-23T01:37:01.2511552Z test_quick_nn_functional_hardswish_cpu_float64 (__main__.TestDecompCPU) ... ok (0.074s) 2022-11-23T01:37:01.2511702Z test_quick_nn_functional_hardtanh_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2511852Z test_quick_nn_functional_hardtanh_cpu_float32 (__main__.TestDecompCPU) ... ok (0.038s) 2022-11-23T01:37:01.2512003Z test_quick_nn_functional_hardtanh_cpu_float64 (__main__.TestDecompCPU) ... ok (0.036s) 2022-11-23T01:37:01.2512151Z test_quick_nn_functional_hardtanh_cpu_int16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2512318Z test_quick_nn_functional_hardtanh_cpu_int32 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2512467Z test_quick_nn_functional_hardtanh_cpu_int64 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2512613Z test_quick_nn_functional_hardtanh_cpu_int8 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2512767Z test_quick_nn_functional_huber_loss_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.028s) 2022-11-23T01:37:01.2512916Z test_quick_nn_functional_huber_loss_cpu_float16 (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.2513065Z test_quick_nn_functional_huber_loss_cpu_float32 (__main__.TestDecompCPU) ... ok (0.250s) 2022-11-23T01:37:01.2513240Z test_quick_nn_functional_huber_loss_cpu_float64 (__main__.TestDecompCPU) ... ok (0.240s) 2022-11-23T01:37:01.2513388Z test_quick_nn_functional_leaky_relu_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.2513522Z test_quick_nn_functional_leaky_relu_cpu_float32 (__main__.TestDecompCPU) ... ok (0.168s) 2022-11-23T01:37:01.2513669Z test_quick_nn_functional_leaky_relu_cpu_float64 (__main__.TestDecompCPU) ... ok (0.167s) 2022-11-23T01:37:01.2513823Z test_quick_nn_functional_logsigmoid_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2513971Z test_quick_nn_functional_logsigmoid_cpu_float32 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2514117Z test_quick_nn_functional_logsigmoid_cpu_float64 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2514262Z test_quick_nn_functional_mish_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2514408Z test_quick_nn_functional_mish_cpu_float32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2514553Z test_quick_nn_functional_mish_cpu_float64 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2515004Z test_quick_nn_functional_mse_loss_cpu_float16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2515145Z test_quick_nn_functional_mse_loss_cpu_float32 (__main__.TestDecompCPU) ... ok (0.107s) 2022-11-23T01:37:01.2515293Z test_quick_nn_functional_mse_loss_cpu_float64 (__main__.TestDecompCPU) ... ok (0.103s) 2022-11-23T01:37:01.2515450Z test_quick_nn_functional_pad_constant_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.033s) 2022-11-23T01:37:01.2515602Z test_quick_nn_functional_pad_constant_cpu_bool (__main__.TestDecompCPU) ... ok (0.138s) 2022-11-23T01:37:01.2515762Z test_quick_nn_functional_pad_constant_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.360s) 2022-11-23T01:37:01.2515922Z test_quick_nn_functional_pad_constant_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.367s) 2022-11-23T01:37:01.2516080Z test_quick_nn_functional_pad_constant_cpu_float16 (__main__.TestDecompCPU) ... ok (0.033s) 2022-11-23T01:37:01.2516235Z test_quick_nn_functional_pad_constant_cpu_float32 (__main__.TestDecompCPU) ... ok (0.215s) 2022-11-23T01:37:01.2516389Z test_quick_nn_functional_pad_constant_cpu_float64 (__main__.TestDecompCPU) ... ok (0.211s) 2022-11-23T01:37:01.2516528Z test_quick_nn_functional_pad_constant_cpu_int16 (__main__.TestDecompCPU) ... ok (0.139s) 2022-11-23T01:37:01.2516677Z test_quick_nn_functional_pad_constant_cpu_int32 (__main__.TestDecompCPU) ... ok (0.139s) 2022-11-23T01:37:01.2516879Z test_quick_nn_functional_pad_constant_cpu_int64 (__main__.TestDecompCPU) ... ok (0.138s) 2022-11-23T01:37:01.2517088Z test_quick_nn_functional_pad_constant_cpu_int8 (__main__.TestDecompCPU) ... ok (0.140s) 2022-11-23T01:37:01.2517292Z test_quick_nn_functional_pad_constant_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.139s) 2022-11-23T01:37:01.2517446Z test_quick_nn_functional_prelu_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2517593Z test_quick_nn_functional_prelu_cpu_float32 (__main__.TestDecompCPU) ... ok (0.586s) 2022-11-23T01:37:01.2517735Z test_quick_nn_functional_prelu_cpu_float64 (__main__.TestDecompCPU) ... ok (0.575s) 2022-11-23T01:37:01.2517981Z test_quick_nn_functional_relu6_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: nn.functional.relu6 in torch.bfloat16 not supported (0.001s) 2022-11-23T01:37:01.2518199Z test_quick_nn_functional_relu6_cpu_float32 (__main__.TestDecompCPU) ... skip: nn.functional.relu6 in torch.float32 not supported (0.001s) 2022-11-23T01:37:01.2518408Z test_quick_nn_functional_relu6_cpu_float64 (__main__.TestDecompCPU) ... skip: nn.functional.relu6 in torch.float64 not supported (0.001s) 2022-11-23T01:37:01.2518611Z test_quick_nn_functional_relu6_cpu_int16 (__main__.TestDecompCPU) ... skip: nn.functional.relu6 in torch.int16 not supported (0.001s) 2022-11-23T01:37:01.2518844Z test_quick_nn_functional_relu6_cpu_int32 (__main__.TestDecompCPU) ... skip: nn.functional.relu6 in torch.int32 not supported (0.001s) 2022-11-23T01:37:01.2519044Z test_quick_nn_functional_relu6_cpu_int64 (__main__.TestDecompCPU) ... skip: nn.functional.relu6 in torch.int64 not supported (0.001s) 2022-11-23T01:37:01.2519245Z test_quick_nn_functional_relu6_cpu_int8 (__main__.TestDecompCPU) ... skip: nn.functional.relu6 in torch.int8 not supported (0.001s) 2022-11-23T01:37:01.2519446Z test_quick_nn_functional_relu6_cpu_uint8 (__main__.TestDecompCPU) ... skip: nn.functional.relu6 in torch.uint8 not supported (0.001s) 2022-11-23T01:37:01.2519593Z test_quick_nn_functional_relu_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2519741Z test_quick_nn_functional_relu_cpu_float32 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.2519868Z test_quick_nn_functional_relu_cpu_float64 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.2520012Z test_quick_nn_functional_relu_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2520152Z test_quick_nn_functional_relu_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2520288Z test_quick_nn_functional_relu_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2520433Z test_quick_nn_functional_relu_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2520575Z test_quick_nn_functional_relu_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2520724Z test_quick_nn_functional_rrelu_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2520870Z test_quick_nn_functional_rrelu_cpu_float32 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2520997Z test_quick_nn_functional_rrelu_cpu_float64 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2521137Z test_quick_nn_functional_silu_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2521280Z test_quick_nn_functional_silu_cpu_float32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2521423Z test_quick_nn_functional_silu_cpu_float64 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2521575Z test_quick_nn_functional_softplus_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2521729Z test_quick_nn_functional_softplus_cpu_float32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2521878Z test_quick_nn_functional_softplus_cpu_float64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2522032Z test_quick_nn_functional_softshrink_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2522186Z test_quick_nn_functional_softshrink_cpu_float32 (__main__.TestDecompCPU) ... ok (0.033s) 2022-11-23T01:37:01.2522324Z test_quick_nn_functional_softshrink_cpu_float64 (__main__.TestDecompCPU) ... ok (0.031s) 2022-11-23T01:37:01.2522473Z test_quick_nn_functional_unfold_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.535s) 2022-11-23T01:37:01.2522625Z test_quick_nn_functional_unfold_cpu_complex128 (__main__.TestDecompCPU) ... ok (3.760s) 2022-11-23T01:37:01.2522775Z test_quick_nn_functional_unfold_cpu_complex64 (__main__.TestDecompCPU) ... ok (3.561s) 2022-11-23T01:37:01.2522925Z test_quick_nn_functional_unfold_cpu_float16 (__main__.TestDecompCPU) ... ok (0.537s) 2022-11-23T01:37:01.2523100Z test_quick_nn_functional_unfold_cpu_float32 (__main__.TestDecompCPU) ... ok (2.146s) 2022-11-23T01:37:01.2523248Z test_quick_nn_functional_unfold_cpu_float64 (__main__.TestDecompCPU) ... ok (2.099s) 2022-11-23T01:37:01.2523425Z test_quick_norm_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: norm in torch.bfloat16 not supported (0.001s) 2022-11-23T01:37:01.2523594Z test_quick_norm_cpu_complex128 (__main__.TestDecompCPU) ... skip: norm in torch.complex128 not supported (0.001s) 2022-11-23T01:37:01.2523773Z test_quick_norm_cpu_complex64 (__main__.TestDecompCPU) ... skip: norm in torch.complex64 not supported (0.001s) 2022-11-23T01:37:01.2523975Z test_quick_norm_cpu_float16 (__main__.TestDecompCPU) ... skip: norm in torch.float16 not supported (0.001s) 2022-11-23T01:37:01.2524147Z test_quick_norm_cpu_float32 (__main__.TestDecompCPU) ... skip: norm in torch.float32 not supported (0.001s) 2022-11-23T01:37:01.2524314Z test_quick_norm_cpu_float64 (__main__.TestDecompCPU) ... skip: norm in torch.float64 not supported (0.001s) 2022-11-23T01:37:01.2524495Z test_quick_norm_fro_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: norm in torch.bfloat16 not supported (0.001s) 2022-11-23T01:37:01.2524679Z test_quick_norm_fro_cpu_complex128 (__main__.TestDecompCPU) ... skip: norm in torch.complex128 not supported (0.001s) 2022-11-23T01:37:01.2524863Z test_quick_norm_fro_cpu_complex64 (__main__.TestDecompCPU) ... skip: norm in torch.complex64 not supported (0.001s) 2022-11-23T01:37:01.2525039Z test_quick_norm_fro_cpu_float16 (__main__.TestDecompCPU) ... skip: norm in torch.float16 not supported (0.001s) 2022-11-23T01:37:01.2525213Z test_quick_norm_fro_cpu_float32 (__main__.TestDecompCPU) ... skip: norm in torch.float32 not supported (0.001s) 2022-11-23T01:37:01.2525374Z test_quick_norm_fro_cpu_float64 (__main__.TestDecompCPU) ... skip: norm in torch.float64 not supported (0.001s) 2022-11-23T01:37:01.2525553Z test_quick_norm_inf_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: norm in torch.bfloat16 not supported (0.001s) 2022-11-23T01:37:01.2525739Z test_quick_norm_inf_cpu_complex128 (__main__.TestDecompCPU) ... skip: norm in torch.complex128 not supported (0.001s) 2022-11-23T01:37:01.2525920Z test_quick_norm_inf_cpu_complex64 (__main__.TestDecompCPU) ... skip: norm in torch.complex64 not supported (0.001s) 2022-11-23T01:37:01.2526093Z test_quick_norm_inf_cpu_float16 (__main__.TestDecompCPU) ... skip: norm in torch.float16 not supported (0.001s) 2022-11-23T01:37:01.2526268Z test_quick_norm_inf_cpu_float32 (__main__.TestDecompCPU) ... skip: norm in torch.float32 not supported (0.001s) 2022-11-23T01:37:01.2526440Z test_quick_norm_inf_cpu_float64 (__main__.TestDecompCPU) ... skip: norm in torch.float64 not supported (0.001s) 2022-11-23T01:37:01.2526623Z test_quick_norm_nuc_cpu_complex128 (__main__.TestDecompCPU) ... skip: norm in torch.complex128 not supported (0.001s) 2022-11-23T01:37:01.2526805Z test_quick_norm_nuc_cpu_complex64 (__main__.TestDecompCPU) ... skip: norm in torch.complex64 not supported (0.001s) 2022-11-23T01:37:01.2526966Z test_quick_norm_nuc_cpu_float32 (__main__.TestDecompCPU) ... skip: norm in torch.float32 not supported (0.001s) 2022-11-23T01:37:01.2527137Z test_quick_norm_nuc_cpu_float64 (__main__.TestDecompCPU) ... skip: norm in torch.float64 not supported (0.001s) 2022-11-23T01:37:01.2527269Z test_quick_ones_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2527397Z test_quick_ones_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2527530Z test_quick_ones_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2527663Z test_quick_ones_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2527796Z test_quick_ones_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2527924Z test_quick_ones_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2528038Z test_quick_ones_cpu_float32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2528207Z test_quick_ones_cpu_float64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2528336Z test_quick_ones_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2528459Z test_quick_ones_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2528580Z test_quick_ones_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2528708Z test_quick_ones_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2528830Z test_quick_ones_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2528964Z test_quick_permute_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2529109Z test_quick_permute_cpu_bool (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2529250Z test_quick_permute_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2529388Z test_quick_permute_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2529527Z test_quick_permute_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2529659Z test_quick_permute_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2529790Z test_quick_permute_cpu_float32 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2529923Z test_quick_permute_cpu_float64 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2530053Z test_quick_permute_cpu_int16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2530169Z test_quick_permute_cpu_int32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2530297Z test_quick_permute_cpu_int64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2530429Z test_quick_permute_cpu_int8 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2530558Z test_quick_permute_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2530687Z test_quick_pow_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2530823Z test_quick_pow_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.137s) 2022-11-23T01:37:01.2530954Z test_quick_pow_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.140s) 2022-11-23T01:37:01.2531082Z test_quick_pow_cpu_float16 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2531195Z test_quick_pow_cpu_float32 (__main__.TestDecompCPU) ... ok (0.078s) 2022-11-23T01:37:01.2531317Z test_quick_pow_cpu_float64 (__main__.TestDecompCPU) ... ok (0.077s) 2022-11-23T01:37:01.2531440Z test_quick_pow_cpu_int16 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2531561Z test_quick_pow_cpu_int32 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2531683Z test_quick_pow_cpu_int64 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.2531806Z test_quick_pow_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2531926Z test_quick_pow_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2532056Z test_quick_prod_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.2532170Z test_quick_prod_cpu_bool (__main__.TestDecompCPU) ... ok (0.128s) 2022-11-23T01:37:01.2532303Z test_quick_prod_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.329s) 2022-11-23T01:37:01.2532436Z test_quick_prod_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.333s) 2022-11-23T01:37:01.2532567Z test_quick_prod_cpu_float32 (__main__.TestDecompCPU) ... ok (0.190s) 2022-11-23T01:37:01.2532696Z test_quick_prod_cpu_float64 (__main__.TestDecompCPU) ... ok (0.186s) 2022-11-23T01:37:01.2532824Z test_quick_prod_cpu_int16 (__main__.TestDecompCPU) ... ok (0.129s) 2022-11-23T01:37:01.2532949Z test_quick_prod_cpu_int32 (__main__.TestDecompCPU) ... ok (0.129s) 2022-11-23T01:37:01.2533073Z test_quick_prod_cpu_int64 (__main__.TestDecompCPU) ... ok (0.125s) 2022-11-23T01:37:01.2533185Z test_quick_prod_cpu_int8 (__main__.TestDecompCPU) ... ok (0.129s) 2022-11-23T01:37:01.2533305Z test_quick_prod_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.130s) 2022-11-23T01:37:01.2533484Z test_quick_randn_cpu_bfloat16 (__main__.TestDecompCPU) ... expected failure (0.002s) 2022-11-23T01:37:01.2533640Z test_quick_randn_cpu_complex128 (__main__.TestDecompCPU) ... expected failure (0.002s) 2022-11-23T01:37:01.2533791Z test_quick_randn_cpu_complex32 (__main__.TestDecompCPU) ... expected failure (0.002s) 2022-11-23T01:37:01.2533941Z test_quick_randn_cpu_complex64 (__main__.TestDecompCPU) ... expected failure (0.002s) 2022-11-23T01:37:01.2534088Z test_quick_randn_cpu_float16 (__main__.TestDecompCPU) ... expected failure (0.002s) 2022-11-23T01:37:01.2534230Z test_quick_randn_cpu_float32 (__main__.TestDecompCPU) ... expected failure (0.002s) 2022-11-23T01:37:01.2534390Z test_quick_randn_cpu_float64 (__main__.TestDecompCPU) ... expected failure (0.002s) 2022-11-23T01:37:01.2534533Z test_quick_reciprocal_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2534669Z test_quick_reciprocal_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2534814Z test_quick_reciprocal_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2534955Z test_quick_reciprocal_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2535092Z test_quick_reciprocal_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2535229Z test_quick_reciprocal_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2535364Z test_quick_reciprocal_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2535487Z test_quick_reciprocal_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2535622Z test_quick_reciprocal_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2535753Z test_quick_reciprocal_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2535890Z test_quick_reciprocal_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2536025Z test_quick_reciprocal_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2536164Z test_quick_remainder_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2536300Z test_quick_remainder_cpu_float16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2536434Z test_quick_remainder_cpu_float32 (__main__.TestDecompCPU) ... ok (0.079s) 2022-11-23T01:37:01.2536553Z test_quick_remainder_cpu_float64 (__main__.TestDecompCPU) ... ok (0.077s) 2022-11-23T01:37:01.2536686Z test_quick_remainder_cpu_int16 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2536820Z test_quick_remainder_cpu_int32 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2536954Z test_quick_remainder_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2537086Z test_quick_remainder_cpu_int8 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2537217Z test_quick_remainder_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2537347Z test_quick_repeat_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2537478Z test_quick_repeat_cpu_bool (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.2537600Z test_quick_repeat_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.053s) 2022-11-23T01:37:01.2537734Z test_quick_repeat_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.056s) 2022-11-23T01:37:01.2537866Z test_quick_repeat_cpu_float16 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2537995Z test_quick_repeat_cpu_float32 (__main__.TestDecompCPU) ... ok (0.037s) 2022-11-23T01:37:01.2538127Z test_quick_repeat_cpu_float64 (__main__.TestDecompCPU) ... ok (0.035s) 2022-11-23T01:37:01.2538260Z test_quick_repeat_cpu_int16 (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.2538389Z test_quick_repeat_cpu_int32 (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.2538517Z test_quick_repeat_cpu_int64 (__main__.TestDecompCPU) ... ok (0.027s) 2022-11-23T01:37:01.2538632Z test_quick_repeat_cpu_int8 (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.2538944Z test_quick_repeat_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.029s) 2022-11-23T01:37:01.2539080Z test_quick_roll_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2539207Z test_quick_roll_cpu_bool (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2539339Z test_quick_roll_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.123s) 2022-11-23T01:37:01.2539470Z test_quick_roll_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.124s) 2022-11-23T01:37:01.2539600Z test_quick_roll_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.125s) 2022-11-23T01:37:01.2539748Z test_quick_roll_cpu_float16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2539878Z test_quick_roll_cpu_float32 (__main__.TestDecompCPU) ... ok (0.072s) 2022-11-23T01:37:01.2540004Z test_quick_roll_cpu_float64 (__main__.TestDecompCPU) ... ok (0.071s) 2022-11-23T01:37:01.2540131Z test_quick_roll_cpu_int16 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2540256Z test_quick_roll_cpu_int32 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2540378Z test_quick_roll_cpu_int64 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2540503Z test_quick_roll_cpu_int8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2540625Z test_quick_roll_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.048s) 2022-11-23T01:37:01.2540739Z test_quick_rot90_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.2540868Z test_quick_rot90_cpu_bool (__main__.TestDecompCPU) ... ok (0.178s) 2022-11-23T01:37:01.2541000Z test_quick_rot90_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.490s) 2022-11-23T01:37:01.2541132Z test_quick_rot90_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.497s) 2022-11-23T01:37:01.2541261Z test_quick_rot90_cpu_float16 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.2541389Z test_quick_rot90_cpu_float32 (__main__.TestDecompCPU) ... ok (0.276s) 2022-11-23T01:37:01.2541519Z test_quick_rot90_cpu_float64 (__main__.TestDecompCPU) ... ok (0.272s) 2022-11-23T01:37:01.2541644Z test_quick_rot90_cpu_int16 (__main__.TestDecompCPU) ... ok (0.179s) 2022-11-23T01:37:01.2541753Z test_quick_rot90_cpu_int32 (__main__.TestDecompCPU) ... ok (0.179s) 2022-11-23T01:37:01.2541874Z test_quick_rot90_cpu_int64 (__main__.TestDecompCPU) ... ok (0.178s) 2022-11-23T01:37:01.2541996Z test_quick_rot90_cpu_int8 (__main__.TestDecompCPU) ... ok (0.179s) 2022-11-23T01:37:01.2542117Z test_quick_rot90_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.180s) 2022-11-23T01:37:01.2542247Z test_quick_rsqrt_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2542374Z test_quick_rsqrt_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2542509Z test_quick_rsqrt_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2542640Z test_quick_rsqrt_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2542758Z test_quick_rsqrt_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2542886Z test_quick_rsqrt_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2543012Z test_quick_rsqrt_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2543137Z test_quick_rsqrt_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2543260Z test_quick_rsqrt_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2543383Z test_quick_rsqrt_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2543506Z test_quick_rsqrt_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2543636Z test_quick_rsub_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2543753Z test_quick_rsub_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.152s) 2022-11-23T01:37:01.2543883Z test_quick_rsub_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.155s) 2022-11-23T01:37:01.2544012Z test_quick_rsub_cpu_float16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2544188Z test_quick_rsub_cpu_float32 (__main__.TestDecompCPU) ... ok (0.086s) 2022-11-23T01:37:01.2544320Z test_quick_rsub_cpu_float64 (__main__.TestDecompCPU) ... ok (0.084s) 2022-11-23T01:37:01.2544445Z test_quick_rsub_cpu_int16 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2544566Z test_quick_rsub_cpu_int32 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2544686Z test_quick_rsub_cpu_int64 (__main__.TestDecompCPU) ... ok (0.051s) 2022-11-23T01:37:01.2544797Z test_quick_rsub_cpu_int8 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2544947Z test_quick_rsub_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2545079Z test_quick_select_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2545420Z test_quick_select_cpu_bool (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2545562Z test_quick_select_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.024s) 2022-11-23T01:37:01.2545870Z test_quick_select_cpu_complex32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2546008Z test_quick_select_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.025s) 2022-11-23T01:37:01.2546139Z test_quick_select_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2546257Z test_quick_select_cpu_float32 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2546385Z test_quick_select_cpu_float64 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2546685Z test_quick_select_cpu_int16 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2546977Z test_quick_select_cpu_int32 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2547265Z test_quick_select_cpu_int64 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2547555Z test_quick_select_cpu_int8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2547841Z test_quick_select_cpu_uint8 (__main__.TestDecompCPU) ... skip: only backwards is decomposed, but dtype doesn't support AD (0.001s) 2022-11-23T01:37:01.2547971Z test_quick_sgn_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2548170Z test_quick_sgn_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2548297Z test_quick_sgn_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.039s) 2022-11-23T01:37:01.2548430Z test_quick_sgn_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.041s) 2022-11-23T01:37:01.2548560Z test_quick_sgn_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.040s) 2022-11-23T01:37:01.2548692Z test_quick_sgn_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2548819Z test_quick_sgn_cpu_float32 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2548943Z test_quick_sgn_cpu_float64 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2549068Z test_quick_sgn_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2549188Z test_quick_sgn_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2549296Z test_quick_sgn_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2549418Z test_quick_sgn_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2549540Z test_quick_sgn_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2549677Z test_quick_sigmoid_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2549810Z test_quick_sigmoid_cpu_bool (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2549949Z test_quick_sigmoid_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.2550119Z test_quick_sigmoid_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.2550254Z test_quick_sigmoid_cpu_float32 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2550373Z test_quick_sigmoid_cpu_float64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2550503Z test_quick_sigmoid_cpu_int16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2550635Z test_quick_sigmoid_cpu_int32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2550764Z test_quick_sigmoid_cpu_int64 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2550895Z test_quick_sigmoid_cpu_int8 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2551053Z test_quick_sigmoid_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2551182Z test_quick_sign_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2551294Z test_quick_sign_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2551425Z test_quick_sign_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2551552Z test_quick_sign_cpu_float32 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2551682Z test_quick_sign_cpu_float64 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2551810Z test_quick_sign_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2551935Z test_quick_sign_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2552055Z test_quick_sign_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2552180Z test_quick_sign_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2552290Z test_quick_sign_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2552425Z test_quick_signbit_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2552554Z test_quick_signbit_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2552686Z test_quick_signbit_cpu_float16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2552821Z test_quick_signbit_cpu_float32 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2552952Z test_quick_signbit_cpu_float64 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2553082Z test_quick_signbit_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2553210Z test_quick_signbit_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2553326Z test_quick_signbit_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2553455Z test_quick_signbit_cpu_int8 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2553584Z test_quick_signbit_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.2553711Z test_quick_sin_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2553837Z test_quick_sin_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2553970Z test_quick_sin_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.039s) 2022-11-23T01:37:01.2554101Z test_quick_sin_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.040s) 2022-11-23T01:37:01.2554228Z test_quick_sin_cpu_float32 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.2554340Z test_quick_sin_cpu_float64 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2554463Z test_quick_sin_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2554581Z test_quick_sin_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2554699Z test_quick_sin_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2554823Z test_quick_sin_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2554946Z test_quick_sin_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2555078Z test_quick_sinc_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2555202Z test_quick_sinc_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2555350Z test_quick_sinc_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2555484Z test_quick_sinc_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2555614Z test_quick_sinc_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2555745Z test_quick_sinc_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2555873Z test_quick_sinc_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2555998Z test_quick_sinc_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2556120Z test_quick_sinc_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2556273Z test_quick_sinc_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2556384Z test_quick_sinc_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2556514Z test_quick_sinh_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2556643Z test_quick_sinh_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2556777Z test_quick_sinh_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.039s) 2022-11-23T01:37:01.2556910Z test_quick_sinh_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.040s) 2022-11-23T01:37:01.2557038Z test_quick_sinh_cpu_float32 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2557169Z test_quick_sinh_cpu_float64 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2557283Z test_quick_sinh_cpu_int16 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2557405Z test_quick_sinh_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2557528Z test_quick_sinh_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2557653Z test_quick_sinh_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2557776Z test_quick_sinh_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2557909Z test_quick_slice_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2558041Z test_quick_slice_cpu_bool (__main__.TestDecompCPU) ... ok (0.043s) 2022-11-23T01:37:01.2558174Z test_quick_slice_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.099s) 2022-11-23T01:37:01.2558293Z test_quick_slice_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.103s) 2022-11-23T01:37:01.2558430Z test_quick_slice_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.101s) 2022-11-23T01:37:01.2558559Z test_quick_slice_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2558688Z test_quick_slice_cpu_float32 (__main__.TestDecompCPU) ... ok (0.054s) 2022-11-23T01:37:01.2558817Z test_quick_slice_cpu_float64 (__main__.TestDecompCPU) ... ok (0.054s) 2022-11-23T01:37:01.2558949Z test_quick_slice_cpu_int16 (__main__.TestDecompCPU) ... ok (0.043s) 2022-11-23T01:37:01.2559073Z test_quick_slice_cpu_int32 (__main__.TestDecompCPU) ... ok (0.043s) 2022-11-23T01:37:01.2559197Z test_quick_slice_cpu_int64 (__main__.TestDecompCPU) ... ok (0.043s) 2022-11-23T01:37:01.2559310Z test_quick_slice_cpu_int8 (__main__.TestDecompCPU) ... ok (0.043s) 2022-11-23T01:37:01.2559432Z test_quick_slice_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.043s) 2022-11-23T01:37:01.2559569Z test_quick_softmax_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2559701Z test_quick_softmax_cpu_float32 (__main__.TestDecompCPU) ... ok (0.078s) 2022-11-23T01:37:01.2559832Z test_quick_softmax_cpu_float64 (__main__.TestDecompCPU) ... ok (0.077s) 2022-11-23T01:37:01.2559975Z test_quick_special_entr_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2560111Z test_quick_special_entr_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2560251Z test_quick_special_entr_cpu_float32 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2560376Z test_quick_special_entr_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2560514Z test_quick_special_entr_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2560677Z test_quick_special_entr_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2560812Z test_quick_special_entr_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2560946Z test_quick_special_entr_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2561078Z test_quick_special_entr_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2561213Z test_quick_special_erfcx_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2561354Z test_quick_special_erfcx_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2561507Z test_quick_special_erfcx_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2561644Z test_quick_special_erfcx_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2561779Z test_quick_special_erfcx_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2561915Z test_quick_special_erfcx_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2562049Z test_quick_special_erfcx_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2562181Z test_quick_special_erfcx_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2562319Z test_quick_special_i0e_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2562454Z test_quick_special_i0e_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2562577Z test_quick_special_i0e_cpu_float32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2562713Z test_quick_special_i0e_cpu_float64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2562849Z test_quick_special_i0e_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2562983Z test_quick_special_i0e_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2563114Z test_quick_special_i0e_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2563247Z test_quick_special_i0e_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2563376Z test_quick_special_i0e_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2563509Z test_quick_special_i1_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2563629Z test_quick_special_i1_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2563763Z test_quick_special_i1_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2563895Z test_quick_special_i1_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2564025Z test_quick_special_i1_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2564156Z test_quick_special_i1_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2564285Z test_quick_special_i1_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2564415Z test_quick_special_i1_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2564550Z test_quick_special_i1e_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2564673Z test_quick_special_i1e_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2564810Z test_quick_special_i1e_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2564944Z test_quick_special_i1e_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2565075Z test_quick_special_i1e_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2565205Z test_quick_special_i1e_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2565338Z test_quick_special_i1e_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2565467Z test_quick_special_i1e_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2565609Z test_quick_special_log_ndtr_cpu_bool (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2565779Z test_quick_special_log_ndtr_cpu_float32 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2565921Z test_quick_special_log_ndtr_cpu_float64 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2566064Z test_quick_special_log_ndtr_cpu_int16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2566206Z test_quick_special_log_ndtr_cpu_int32 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2566346Z test_quick_special_log_ndtr_cpu_int64 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2566484Z test_quick_special_log_ndtr_cpu_int8 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2566622Z test_quick_special_log_ndtr_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2566850Z test_quick_special_ndtr_cpu_bfloat16 (__main__.TestDecompCPU) ... skip: special.ndtr in torch.bfloat16 not supported (0.001s) 2022-11-23T01:37:01.2567042Z test_quick_special_ndtr_cpu_bool (__main__.TestDecompCPU) ... skip: special.ndtr in torch.bool not supported (0.001s) 2022-11-23T01:37:01.2567224Z test_quick_special_ndtr_cpu_float32 (__main__.TestDecompCPU) ... skip: special.ndtr in torch.float32 not supported (0.001s) 2022-11-23T01:37:01.2567418Z test_quick_special_ndtr_cpu_float64 (__main__.TestDecompCPU) ... skip: special.ndtr in torch.float64 not supported (0.001s) 2022-11-23T01:37:01.2567603Z test_quick_special_ndtr_cpu_int16 (__main__.TestDecompCPU) ... skip: special.ndtr in torch.int16 not supported (0.001s) 2022-11-23T01:37:01.2567790Z test_quick_special_ndtr_cpu_int32 (__main__.TestDecompCPU) ... skip: special.ndtr in torch.int32 not supported (0.001s) 2022-11-23T01:37:01.2567978Z test_quick_special_ndtr_cpu_int64 (__main__.TestDecompCPU) ... skip: special.ndtr in torch.int64 not supported (0.001s) 2022-11-23T01:37:01.2568165Z test_quick_special_ndtr_cpu_int8 (__main__.TestDecompCPU) ... skip: special.ndtr in torch.int8 not supported (0.001s) 2022-11-23T01:37:01.2568351Z test_quick_special_ndtr_cpu_uint8 (__main__.TestDecompCPU) ... skip: special.ndtr in torch.uint8 not supported (0.001s) 2022-11-23T01:37:01.2568492Z test_quick_special_ndtri_cpu_bool (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2568632Z test_quick_special_ndtri_cpu_float32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2568758Z test_quick_special_ndtri_cpu_float64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2568895Z test_quick_special_ndtri_cpu_int16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2569030Z test_quick_special_ndtri_cpu_int32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2569163Z test_quick_special_ndtri_cpu_int64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2569301Z test_quick_special_ndtri_cpu_int8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2569434Z test_quick_special_ndtri_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2569579Z test_quick_special_xlog1py_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2569721Z test_quick_special_xlog1py_cpu_bool (__main__.TestDecompCPU) ... ok (0.053s) 2022-11-23T01:37:01.2569852Z test_quick_special_xlog1py_cpu_float16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2569993Z test_quick_special_xlog1py_cpu_float32 (__main__.TestDecompCPU) ... ok (0.081s) 2022-11-23T01:37:01.2570134Z test_quick_special_xlog1py_cpu_float64 (__main__.TestDecompCPU) ... ok (0.079s) 2022-11-23T01:37:01.2570271Z test_quick_special_xlog1py_cpu_int16 (__main__.TestDecompCPU) ... ok (0.054s) 2022-11-23T01:37:01.2570410Z test_quick_special_xlog1py_cpu_int32 (__main__.TestDecompCPU) ... ok (0.054s) 2022-11-23T01:37:01.2570550Z test_quick_special_xlog1py_cpu_int64 (__main__.TestDecompCPU) ... ok (0.053s) 2022-11-23T01:37:01.2570690Z test_quick_special_xlog1py_cpu_int8 (__main__.TestDecompCPU) ... ok (0.053s) 2022-11-23T01:37:01.2570826Z test_quick_special_xlog1py_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.053s) 2022-11-23T01:37:01.2570976Z test_quick_special_zeta_cpu_bool (__main__.TestDecompCPU) ... ok (0.051s) 2022-11-23T01:37:01.2571116Z test_quick_special_zeta_cpu_float32 (__main__.TestDecompCPU) ... ok (0.078s) 2022-11-23T01:37:01.2571252Z test_quick_special_zeta_cpu_float64 (__main__.TestDecompCPU) ... ok (0.076s) 2022-11-23T01:37:01.2571389Z test_quick_special_zeta_cpu_int16 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2571524Z test_quick_special_zeta_cpu_int32 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2571656Z test_quick_special_zeta_cpu_int64 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2571791Z test_quick_special_zeta_cpu_int8 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2571951Z test_quick_special_zeta_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.052s) 2022-11-23T01:37:01.2572073Z test_quick_split_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2572203Z test_quick_split_cpu_bool (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2572339Z test_quick_split_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.058s) 2022-11-23T01:37:01.2572473Z test_quick_split_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.2572608Z test_quick_split_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.2572739Z test_quick_split_cpu_float16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2572870Z test_quick_split_cpu_float32 (__main__.TestDecompCPU) ... ok (0.032s) 2022-11-23T01:37:01.2572999Z test_quick_split_cpu_float64 (__main__.TestDecompCPU) ... ok (0.032s) 2022-11-23T01:37:01.2573113Z test_quick_split_cpu_int16 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.2573241Z test_quick_split_cpu_int32 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2573364Z test_quick_split_cpu_int64 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2573490Z test_quick_split_cpu_int8 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.2573616Z test_quick_split_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2573760Z test_quick_split_list_args_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2573898Z test_quick_split_list_args_cpu_bool (__main__.TestDecompCPU) ... ok (0.046s) 2022-11-23T01:37:01.2574045Z test_quick_split_list_args_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.127s) 2022-11-23T01:37:01.2574176Z test_quick_split_list_args_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.130s) 2022-11-23T01:37:01.2574316Z test_quick_split_list_args_cpu_float16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2574457Z test_quick_split_list_args_cpu_float32 (__main__.TestDecompCPU) ... ok (0.072s) 2022-11-23T01:37:01.2574598Z test_quick_split_list_args_cpu_float64 (__main__.TestDecompCPU) ... ok (0.070s) 2022-11-23T01:37:01.2574737Z test_quick_split_list_args_cpu_int16 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.2574873Z test_quick_split_list_args_cpu_int32 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.2575011Z test_quick_split_list_args_cpu_int64 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.2575146Z test_quick_split_list_args_cpu_int8 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.2575269Z test_quick_split_list_args_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.2575412Z test_quick_split_with_sizes_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2575547Z test_quick_split_with_sizes_cpu_bool (__main__.TestDecompCPU) ... ok (0.062s) 2022-11-23T01:37:01.2575694Z test_quick_split_with_sizes_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.170s) 2022-11-23T01:37:01.2575841Z test_quick_split_with_sizes_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.175s) 2022-11-23T01:37:01.2575981Z test_quick_split_with_sizes_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.176s) 2022-11-23T01:37:01.2576125Z test_quick_split_with_sizes_cpu_float16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2576295Z test_quick_split_with_sizes_cpu_float32 (__main__.TestDecompCPU) ... ok (0.094s) 2022-11-23T01:37:01.2576419Z test_quick_split_with_sizes_cpu_float64 (__main__.TestDecompCPU) ... ok (0.093s) 2022-11-23T01:37:01.2576560Z test_quick_split_with_sizes_cpu_int16 (__main__.TestDecompCPU) ... ok (0.062s) 2022-11-23T01:37:01.2576697Z test_quick_split_with_sizes_cpu_int32 (__main__.TestDecompCPU) ... ok (0.062s) 2022-11-23T01:37:01.2576836Z test_quick_split_with_sizes_cpu_int64 (__main__.TestDecompCPU) ... ok (0.062s) 2022-11-23T01:37:01.2576970Z test_quick_split_with_sizes_cpu_int8 (__main__.TestDecompCPU) ... ok (0.062s) 2022-11-23T01:37:01.2577135Z test_quick_split_with_sizes_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.062s) 2022-11-23T01:37:01.2577266Z test_quick_sqrt_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2577392Z test_quick_sqrt_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2577515Z test_quick_sqrt_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.040s) 2022-11-23T01:37:01.2577647Z test_quick_sqrt_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.041s) 2022-11-23T01:37:01.2577776Z test_quick_sqrt_cpu_float32 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.2577905Z test_quick_sqrt_cpu_float64 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2578034Z test_quick_sqrt_cpu_int16 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2578156Z test_quick_sqrt_cpu_int32 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2578277Z test_quick_sqrt_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2578402Z test_quick_sqrt_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2578511Z test_quick_sqrt_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2578645Z test_quick_squeeze_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2578899Z test_quick_squeeze_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2579042Z test_quick_squeeze_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.034s) 2022-11-23T01:37:01.2579180Z test_quick_squeeze_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.035s) 2022-11-23T01:37:01.2579315Z test_quick_squeeze_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.035s) 2022-11-23T01:37:01.2579448Z test_quick_squeeze_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2579580Z test_quick_squeeze_cpu_float32 (__main__.TestDecompCPU) ... ok (0.026s) 2022-11-23T01:37:01.2579697Z test_quick_squeeze_cpu_float64 (__main__.TestDecompCPU) ... ok (0.025s) 2022-11-23T01:37:01.2579832Z test_quick_squeeze_cpu_int16 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.2579965Z test_quick_squeeze_cpu_int32 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.2580094Z test_quick_squeeze_cpu_int64 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.2580223Z test_quick_squeeze_cpu_int8 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.2580355Z test_quick_squeeze_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.2580486Z test_quick_stack_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2580614Z test_quick_stack_cpu_bool (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2580736Z test_quick_stack_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.2580871Z test_quick_stack_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.051s) 2022-11-23T01:37:01.2581001Z test_quick_stack_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.049s) 2022-11-23T01:37:01.2581133Z test_quick_stack_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2581263Z test_quick_stack_cpu_float32 (__main__.TestDecompCPU) ... ok (0.026s) 2022-11-23T01:37:01.2581392Z test_quick_stack_cpu_float64 (__main__.TestDecompCPU) ... ok (0.025s) 2022-11-23T01:37:01.2581520Z test_quick_stack_cpu_int16 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2581692Z test_quick_stack_cpu_int32 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2581803Z test_quick_stack_cpu_int64 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2581929Z test_quick_stack_cpu_int8 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2582050Z test_quick_stack_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.013s) 2022-11-23T01:37:01.2582180Z test_quick_std_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2582313Z test_quick_std_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.125s) 2022-11-23T01:37:01.2582441Z test_quick_std_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.127s) 2022-11-23T01:37:01.2582605Z test_quick_std_cpu_float16 (__main__.TestDecompCPU) ... ok (0.010s) 2022-11-23T01:37:01.2582729Z test_quick_std_cpu_float32 (__main__.TestDecompCPU) ... ok (0.072s) 2022-11-23T01:37:01.2582840Z test_quick_std_cpu_float64 (__main__.TestDecompCPU) ... ok (0.071s) 2022-11-23T01:37:01.2582978Z test_quick_std_mean_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.2583115Z test_quick_std_mean_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.247s) 2022-11-23T01:37:01.2583254Z test_quick_std_mean_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.253s) 2022-11-23T01:37:01.2583389Z test_quick_std_mean_cpu_float16 (__main__.TestDecompCPU) ... ok (0.018s) 2022-11-23T01:37:01.2583521Z test_quick_std_mean_cpu_float32 (__main__.TestDecompCPU) ... ok (0.140s) 2022-11-23T01:37:01.2583650Z test_quick_std_mean_cpu_float64 (__main__.TestDecompCPU) ... ok (0.137s) 2022-11-23T01:37:01.2583780Z test_quick_sub_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2583901Z test_quick_sub_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.155s) 2022-11-23T01:37:01.2584031Z test_quick_sub_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.161s) 2022-11-23T01:37:01.2584160Z test_quick_sub_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.158s) 2022-11-23T01:37:01.2584287Z test_quick_sub_cpu_float16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2584412Z test_quick_sub_cpu_float32 (__main__.TestDecompCPU) ... ok (0.088s) 2022-11-23T01:37:01.2584533Z test_quick_sub_cpu_float64 (__main__.TestDecompCPU) ... ok (0.086s) 2022-11-23T01:37:01.2584657Z test_quick_sub_cpu_int16 (__main__.TestDecompCPU) ... ok (0.054s) 2022-11-23T01:37:01.2584778Z test_quick_sub_cpu_int32 (__main__.TestDecompCPU) ... ok (0.054s) 2022-11-23T01:37:01.2584885Z test_quick_sub_cpu_int64 (__main__.TestDecompCPU) ... ok (0.054s) 2022-11-23T01:37:01.2585007Z test_quick_sub_cpu_int8 (__main__.TestDecompCPU) ... ok (0.054s) 2022-11-23T01:37:01.2585130Z test_quick_sub_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.054s) 2022-11-23T01:37:01.2585260Z test_quick_sum_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2585385Z test_quick_sum_cpu_bool (__main__.TestDecompCPU) ... ok (0.024s) 2022-11-23T01:37:01.2585518Z test_quick_sum_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.066s) 2022-11-23T01:37:01.2585648Z test_quick_sum_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.069s) 2022-11-23T01:37:01.2585762Z test_quick_sum_cpu_float16 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.2585885Z test_quick_sum_cpu_float32 (__main__.TestDecompCPU) ... ok (0.044s) 2022-11-23T01:37:01.2586006Z test_quick_sum_cpu_float64 (__main__.TestDecompCPU) ... ok (0.041s) 2022-11-23T01:37:01.2586130Z test_quick_sum_cpu_int16 (__main__.TestDecompCPU) ... ok (0.024s) 2022-11-23T01:37:01.2586251Z test_quick_sum_cpu_int32 (__main__.TestDecompCPU) ... ok (0.027s) 2022-11-23T01:37:01.2586372Z test_quick_sum_cpu_int64 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.2586493Z test_quick_sum_cpu_int8 (__main__.TestDecompCPU) ... ok (0.024s) 2022-11-23T01:37:01.2586603Z test_quick_sum_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.024s) 2022-11-23T01:37:01.2586731Z test_quick_t_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2586888Z test_quick_t_cpu_bool (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2587019Z test_quick_t_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2587144Z test_quick_t_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2587264Z test_quick_t_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2587382Z test_quick_t_cpu_float32 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2587487Z test_quick_t_cpu_float64 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2587608Z test_quick_t_cpu_int16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2587754Z test_quick_t_cpu_int32 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2587875Z test_quick_t_cpu_int64 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2587995Z test_quick_t_cpu_int8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2588192Z test_quick_t_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2588325Z test_quick_tan_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2588448Z test_quick_tan_cpu_bool (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2588567Z test_quick_tan_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.039s) 2022-11-23T01:37:01.2588699Z test_quick_tan_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.040s) 2022-11-23T01:37:01.2588825Z test_quick_tan_cpu_float32 (__main__.TestDecompCPU) ... ok (0.022s) 2022-11-23T01:37:01.2588949Z test_quick_tan_cpu_float64 (__main__.TestDecompCPU) ... ok (0.021s) 2022-11-23T01:37:01.2589075Z test_quick_tan_cpu_int16 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2589197Z test_quick_tan_cpu_int32 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2589318Z test_quick_tan_cpu_int64 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2589439Z test_quick_tan_cpu_int8 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2589548Z test_quick_tan_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2589676Z test_quick_tanh_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.003s) 2022-11-23T01:37:01.2589800Z test_quick_tanh_cpu_bool (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2589936Z test_quick_tanh_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.117s) 2022-11-23T01:37:01.2590068Z test_quick_tanh_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.122s) 2022-11-23T01:37:01.2590199Z test_quick_tanh_cpu_float32 (__main__.TestDecompCPU) ... ok (0.061s) 2022-11-23T01:37:01.2590327Z test_quick_tanh_cpu_float64 (__main__.TestDecompCPU) ... ok (0.061s) 2022-11-23T01:37:01.2590456Z test_quick_tanh_cpu_int16 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2590567Z test_quick_tanh_cpu_int32 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2590689Z test_quick_tanh_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2590815Z test_quick_tanh_cpu_int8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2590940Z test_quick_tanh_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2591074Z test_quick_trace_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2591209Z test_quick_trace_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2591339Z test_quick_trace_cpu_float32 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2591456Z test_quick_trace_cpu_float64 (__main__.TestDecompCPU) ... ok (0.004s) 2022-11-23T01:37:01.2591584Z test_quick_trace_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2591710Z test_quick_trace_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2591834Z test_quick_trace_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2591962Z test_quick_trace_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2592114Z test_quick_trace_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2592258Z test_quick_transpose_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2592392Z test_quick_transpose_cpu_bool (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2592519Z test_quick_transpose_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.043s) 2022-11-23T01:37:01.2592662Z test_quick_transpose_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.045s) 2022-11-23T01:37:01.2592800Z test_quick_transpose_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.045s) 2022-11-23T01:37:01.2592936Z test_quick_transpose_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2593099Z test_quick_transpose_cpu_float32 (__main__.TestDecompCPU) ... ok (0.026s) 2022-11-23T01:37:01.2593232Z test_quick_transpose_cpu_float64 (__main__.TestDecompCPU) ... ok (0.026s) 2022-11-23T01:37:01.2593369Z test_quick_transpose_cpu_int16 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2593503Z test_quick_transpose_cpu_int32 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2593620Z test_quick_transpose_cpu_int64 (__main__.TestDecompCPU) ... ok (0.014s) 2022-11-23T01:37:01.2593753Z test_quick_transpose_cpu_int8 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2593883Z test_quick_transpose_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2594015Z test_quick_tril_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2594142Z test_quick_tril_cpu_bool (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.2594272Z test_quick_tril_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.128s) 2022-11-23T01:37:01.2594406Z test_quick_tril_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.132s) 2022-11-23T01:37:01.2594539Z test_quick_tril_cpu_float16 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2594654Z test_quick_tril_cpu_float32 (__main__.TestDecompCPU) ... ok (0.072s) 2022-11-23T01:37:01.2594785Z test_quick_tril_cpu_float64 (__main__.TestDecompCPU) ... ok (0.071s) 2022-11-23T01:37:01.2594912Z test_quick_tril_cpu_int16 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.2595034Z test_quick_tril_cpu_int32 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.2595158Z test_quick_tril_cpu_int64 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.2595282Z test_quick_tril_cpu_int8 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.2595404Z test_quick_tril_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.047s) 2022-11-23T01:37:01.2595542Z test_quick_tril_indices_cpu_int32 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2595667Z test_quick_tril_indices_cpu_int64 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2595797Z test_quick_triu_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2595925Z test_quick_triu_cpu_bool (__main__.TestDecompCPU) ... ok (0.046s) 2022-11-23T01:37:01.2596057Z test_quick_triu_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.128s) 2022-11-23T01:37:01.2596192Z test_quick_triu_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.130s) 2022-11-23T01:37:01.2596320Z test_quick_triu_cpu_float16 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2596450Z test_quick_triu_cpu_float32 (__main__.TestDecompCPU) ... ok (0.071s) 2022-11-23T01:37:01.2596578Z test_quick_triu_cpu_float64 (__main__.TestDecompCPU) ... ok (0.070s) 2022-11-23T01:37:01.2596692Z test_quick_triu_cpu_int16 (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.2596816Z test_quick_triu_cpu_int32 (__main__.TestDecompCPU) ... ok (0.064s) 2022-11-23T01:37:01.2596937Z test_quick_triu_cpu_int64 (__main__.TestDecompCPU) ... ok (0.064s) 2022-11-23T01:37:01.2597061Z test_quick_triu_cpu_int8 (__main__.TestDecompCPU) ... ok (0.064s) 2022-11-23T01:37:01.2597183Z test_quick_triu_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.076s) 2022-11-23T01:37:01.2597317Z test_quick_triu_indices_cpu_int32 (__main__.TestDecompCPU) ... ok (0.008s) 2022-11-23T01:37:01.2597477Z test_quick_triu_indices_cpu_int64 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T01:37:01.2597607Z test_quick_trunc_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2597723Z test_quick_trunc_cpu_float32 (__main__.TestDecompCPU) ... ok (0.031s) 2022-11-23T01:37:01.2597850Z test_quick_trunc_cpu_float64 (__main__.TestDecompCPU) ... ok (0.030s) 2022-11-23T01:37:01.2597975Z test_quick_trunc_cpu_int16 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.2598096Z test_quick_trunc_cpu_int32 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.2598215Z test_quick_trunc_cpu_int64 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.2598366Z test_quick_trunc_cpu_int8 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.2598487Z test_quick_trunc_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.019s) 2022-11-23T01:37:01.2598604Z test_quick_unbind_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2598735Z test_quick_unbind_cpu_bool (__main__.TestDecompCPU) ... ok (0.069s) 2022-11-23T01:37:01.2598869Z test_quick_unbind_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.209s) 2022-11-23T01:37:01.2599004Z test_quick_unbind_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.218s) 2022-11-23T01:37:01.2599138Z test_quick_unbind_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.216s) 2022-11-23T01:37:01.2599268Z test_quick_unbind_cpu_float16 (__main__.TestDecompCPU) ... ok (0.009s) 2022-11-23T01:37:01.2599398Z test_quick_unbind_cpu_float32 (__main__.TestDecompCPU) ... ok (0.120s) 2022-11-23T01:37:01.2599526Z test_quick_unbind_cpu_float64 (__main__.TestDecompCPU) ... ok (0.118s) 2022-11-23T01:37:01.2599643Z test_quick_unbind_cpu_int16 (__main__.TestDecompCPU) ... ok (0.069s) 2022-11-23T01:37:01.2599770Z test_quick_unbind_cpu_int32 (__main__.TestDecompCPU) ... ok (0.069s) 2022-11-23T01:37:01.2599898Z test_quick_unbind_cpu_int64 (__main__.TestDecompCPU) ... ok (0.067s) 2022-11-23T01:37:01.2600025Z test_quick_unbind_cpu_int8 (__main__.TestDecompCPU) ... ok (0.069s) 2022-11-23T01:37:01.2600154Z test_quick_unbind_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.068s) 2022-11-23T01:37:01.2600293Z test_quick_unfold_copy_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.2600424Z test_quick_unfold_copy_cpu_bool (__main__.TestDecompCPU) ... ok (0.513s) 2022-11-23T01:37:01.2600565Z test_quick_unfold_copy_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.422s) 2022-11-23T01:37:01.2600692Z test_quick_unfold_copy_cpu_complex32 (__main__.TestDecompCPU) ... ok (1.429s) 2022-11-23T01:37:01.2600831Z test_quick_unfold_copy_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.434s) 2022-11-23T01:37:01.2600968Z test_quick_unfold_copy_cpu_float16 (__main__.TestDecompCPU) ... ok (0.016s) 2022-11-23T01:37:01.2601102Z test_quick_unfold_copy_cpu_float32 (__main__.TestDecompCPU) ... ok (0.764s) 2022-11-23T01:37:01.2601234Z test_quick_unfold_copy_cpu_float64 (__main__.TestDecompCPU) ... ok (0.761s) 2022-11-23T01:37:01.2601367Z test_quick_unfold_copy_cpu_int16 (__main__.TestDecompCPU) ... ok (0.504s) 2022-11-23T01:37:01.2601498Z test_quick_unfold_copy_cpu_int32 (__main__.TestDecompCPU) ... ok (0.506s) 2022-11-23T01:37:01.2601629Z test_quick_unfold_copy_cpu_int64 (__main__.TestDecompCPU) ... ok (0.506s) 2022-11-23T01:37:01.2601748Z test_quick_unfold_copy_cpu_int8 (__main__.TestDecompCPU) ... ok (0.508s) 2022-11-23T01:37:01.2601877Z test_quick_unfold_copy_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.508s) 2022-11-23T01:37:01.2602008Z test_quick_unfold_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2602137Z test_quick_unfold_cpu_bool (__main__.TestDecompCPU) ... ok (0.505s) 2022-11-23T01:37:01.2602271Z test_quick_unfold_cpu_complex128 (__main__.TestDecompCPU) ... ok (1.422s) 2022-11-23T01:37:01.2602406Z test_quick_unfold_cpu_complex32 (__main__.TestDecompCPU) ... ok (1.428s) 2022-11-23T01:37:01.2602537Z test_quick_unfold_cpu_complex64 (__main__.TestDecompCPU) ... ok (1.434s) 2022-11-23T01:37:01.2602716Z test_quick_unfold_cpu_float16 (__main__.TestDecompCPU) ... ok (0.015s) 2022-11-23T01:37:01.2602833Z test_quick_unfold_cpu_float32 (__main__.TestDecompCPU) ... ok (0.764s) 2022-11-23T01:37:01.2602960Z test_quick_unfold_cpu_float64 (__main__.TestDecompCPU) ... ok (0.755s) 2022-11-23T01:37:01.2603087Z test_quick_unfold_cpu_int16 (__main__.TestDecompCPU) ... ok (0.509s) 2022-11-23T01:37:01.2603213Z test_quick_unfold_cpu_int32 (__main__.TestDecompCPU) ... ok (0.502s) 2022-11-23T01:37:01.2603341Z test_quick_unfold_cpu_int64 (__main__.TestDecompCPU) ... ok (0.503s) 2022-11-23T01:37:01.2603497Z test_quick_unfold_cpu_int8 (__main__.TestDecompCPU) ... ok (0.504s) 2022-11-23T01:37:01.2603625Z test_quick_unfold_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.502s) 2022-11-23T01:37:01.2603776Z test_quick_uniform_cpu_bfloat16 (__main__.TestDecompCPU) ... expected failure (0.002s) 2022-11-23T01:37:01.2603920Z test_quick_uniform_cpu_complex128 (__main__.TestDecompCPU) ... expected failure (0.001s) 2022-11-23T01:37:01.2604071Z test_quick_uniform_cpu_complex64 (__main__.TestDecompCPU) ... expected failure (0.001s) 2022-11-23T01:37:01.2604219Z test_quick_uniform_cpu_float16 (__main__.TestDecompCPU) ... expected failure (0.001s) 2022-11-23T01:37:01.2604366Z test_quick_uniform_cpu_float32 (__main__.TestDecompCPU) ... expected failure (0.001s) 2022-11-23T01:37:01.2604513Z test_quick_uniform_cpu_float64 (__main__.TestDecompCPU) ... expected failure (0.001s) 2022-11-23T01:37:01.2604649Z test_quick_unsqueeze_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2604784Z test_quick_unsqueeze_cpu_bool (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.2604924Z test_quick_unsqueeze_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.069s) 2022-11-23T01:37:01.2605048Z test_quick_unsqueeze_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.072s) 2022-11-23T01:37:01.2605184Z test_quick_unsqueeze_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.071s) 2022-11-23T01:37:01.2605318Z test_quick_unsqueeze_cpu_float16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2605452Z test_quick_unsqueeze_cpu_float32 (__main__.TestDecompCPU) ... ok (0.041s) 2022-11-23T01:37:01.2605584Z test_quick_unsqueeze_cpu_float64 (__main__.TestDecompCPU) ... ok (0.039s) 2022-11-23T01:37:01.2605716Z test_quick_unsqueeze_cpu_int16 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.2605846Z test_quick_unsqueeze_cpu_int32 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.2605974Z test_quick_unsqueeze_cpu_int64 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.2606096Z test_quick_unsqueeze_cpu_int8 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.2606224Z test_quick_unsqueeze_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.023s) 2022-11-23T01:37:01.2606350Z test_quick_var_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2606486Z test_quick_var_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.171s) 2022-11-23T01:37:01.2606615Z test_quick_var_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.175s) 2022-11-23T01:37:01.2606742Z test_quick_var_cpu_float16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2606866Z test_quick_var_cpu_float32 (__main__.TestDecompCPU) ... ok (0.096s) 2022-11-23T01:37:01.2606987Z test_quick_var_cpu_float64 (__main__.TestDecompCPU) ... ok (0.094s) 2022-11-23T01:37:01.2607109Z test_quick_var_mean_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.017s) 2022-11-23T01:37:01.2607244Z test_quick_var_mean_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.337s) 2022-11-23T01:37:01.2607382Z test_quick_var_mean_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.342s) 2022-11-23T01:37:01.2607515Z test_quick_var_mean_cpu_float16 (__main__.TestDecompCPU) ... ok (0.020s) 2022-11-23T01:37:01.2607645Z test_quick_var_mean_cpu_float32 (__main__.TestDecompCPU) ... ok (0.189s) 2022-11-23T01:37:01.2607805Z test_quick_var_mean_cpu_float64 (__main__.TestDecompCPU) ... ok (0.187s) 2022-11-23T01:37:01.2607935Z test_quick_view_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2608062Z test_quick_view_cpu_bool (__main__.TestDecompCPU) ... ok (0.038s) 2022-11-23T01:37:01.2608181Z test_quick_view_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.107s) 2022-11-23T01:37:01.2608313Z test_quick_view_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.109s) 2022-11-23T01:37:01.2608461Z test_quick_view_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.109s) 2022-11-23T01:37:01.2608638Z test_quick_view_cpu_float16 (__main__.TestDecompCPU) ... ok (0.005s) 2022-11-23T01:37:01.2608832Z test_quick_view_cpu_float32 (__main__.TestDecompCPU) ... ok (0.061s) 2022-11-23T01:37:01.2608959Z test_quick_view_cpu_float64 (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.2609086Z test_quick_view_cpu_int16 (__main__.TestDecompCPU) ... ok (0.038s) 2022-11-23T01:37:01.2609207Z test_quick_view_cpu_int32 (__main__.TestDecompCPU) ... ok (0.038s) 2022-11-23T01:37:01.2609317Z test_quick_view_cpu_int64 (__main__.TestDecompCPU) ... ok (0.038s) 2022-11-23T01:37:01.2609442Z test_quick_view_cpu_int8 (__main__.TestDecompCPU) ... ok (0.038s) 2022-11-23T01:37:01.2609563Z test_quick_view_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.038s) 2022-11-23T01:37:01.2609692Z test_quick_where_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2609819Z test_quick_where_cpu_bool (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.2609952Z test_quick_where_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.137s) 2022-11-23T01:37:01.2610084Z test_quick_where_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.139s) 2022-11-23T01:37:01.2610218Z test_quick_where_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.139s) 2022-11-23T01:37:01.2610336Z test_quick_where_cpu_float16 (__main__.TestDecompCPU) ... ok (0.006s) 2022-11-23T01:37:01.2610463Z test_quick_where_cpu_float32 (__main__.TestDecompCPU) ... ok (0.087s) 2022-11-23T01:37:01.2610593Z test_quick_where_cpu_float64 (__main__.TestDecompCPU) ... ok (0.085s) 2022-11-23T01:37:01.2610719Z test_quick_where_cpu_int16 (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.2610843Z test_quick_where_cpu_int32 (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.2610965Z test_quick_where_cpu_int64 (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.2611090Z test_quick_where_cpu_int8 (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.2611211Z test_quick_where_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.060s) 2022-11-23T01:37:01.2611326Z test_quick_xlogy_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.011s) 2022-11-23T01:37:01.2611455Z test_quick_xlogy_cpu_bool (__main__.TestDecompCPU) ... ok (0.071s) 2022-11-23T01:37:01.2611582Z test_quick_xlogy_cpu_float16 (__main__.TestDecompCPU) ... ok (0.012s) 2022-11-23T01:37:01.2611708Z test_quick_xlogy_cpu_float32 (__main__.TestDecompCPU) ... ok (0.108s) 2022-11-23T01:37:01.2611836Z test_quick_xlogy_cpu_float64 (__main__.TestDecompCPU) ... ok (0.106s) 2022-11-23T01:37:01.2611959Z test_quick_xlogy_cpu_int16 (__main__.TestDecompCPU) ... ok (0.071s) 2022-11-23T01:37:01.2612079Z test_quick_xlogy_cpu_int32 (__main__.TestDecompCPU) ... ok (0.071s) 2022-11-23T01:37:01.2612198Z test_quick_xlogy_cpu_int64 (__main__.TestDecompCPU) ... ok (0.071s) 2022-11-23T01:37:01.2612309Z test_quick_xlogy_cpu_int8 (__main__.TestDecompCPU) ... ok (0.070s) 2022-11-23T01:37:01.2612428Z test_quick_xlogy_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.071s) 2022-11-23T01:37:01.2612555Z test_quick_zeros_cpu_bfloat16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2612680Z test_quick_zeros_cpu_bool (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2612813Z test_quick_zeros_cpu_complex128 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2612942Z test_quick_zeros_cpu_complex32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2613100Z test_quick_zeros_cpu_complex64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2613217Z test_quick_zeros_cpu_float16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2613342Z test_quick_zeros_cpu_float32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2613468Z test_quick_zeros_cpu_float64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2613590Z test_quick_zeros_cpu_int16 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2613709Z test_quick_zeros_cpu_int32 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2613828Z test_quick_zeros_cpu_int64 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2613977Z test_quick_zeros_cpu_int8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2614097Z test_quick_zeros_cpu_uint8 (__main__.TestDecompCPU) ... ok (0.002s) 2022-11-23T01:37:01.2614109Z 2022-11-23T01:37:01.2614346Z ---------------------------------------------------------------------- 2022-11-23T01:37:01.2614415Z Ran 7423 tests in 1887.999s 2022-11-23T01:37:01.2614422Z 2022-11-23T01:37:01.2614520Z OK (skipped=536, expected failures=28) 2022-11-23T01:37:01.2614525Z 2022-11-23T01:37:01.2614610Z Generating XML reports... 2022-11-23T01:37:01.2614939Z Generated XML report: test-reports/python-unittest/test_decomp/TEST-DecompContiguousTestsCPU-20221123010531.xml 2022-11-23T01:37:01.2615217Z Generated XML report: test-reports/python-unittest/test_decomp/TEST-TestDecompCPU-20221123010531.xml 2022-11-23T01:37:01.2615222Z 2022-11-23T01:37:01.2615765Z ##[endgroup] 2022-11-23T01:37:01.2616040Z FINISHED PRINTING LOG FILE of test_decomp (/var/lib/jenkins/workspace/test/test-reports/test_decomp_idxi_14a) 2022-11-23T01:37:01.2616049Z 2022-11-23T01:37:03.0660897Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:37:03.2092562Z Ignoring disabled issues: [] 2022-11-23T01:37:03.2259023Z Running test_jit_fuser_te ... [2022-11-23 01:37:03.225547] 2022-11-23T01:37:03.2260676Z Executing ['/opt/conda/bin/python', '-bb', 'test_jit_fuser_te.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:37:03.225824] 2022-11-23T01:37:54.1396927Z 2022-11-23T01:37:54.1397516Z Expand the folded group to see the log file of inductor/test_torchinductor 2022-11-23T01:37:54.1398585Z ##[group]PRINTING LOG FILE of inductor/test_torchinductor (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_fjjdmudm) 2022-11-23T01:37:54.1496154Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:37:54.1496892Z Test results will be stored in test-reports/python-unittest/inductor.test_torchinductor 2022-11-23T01:37:54.1497208Z 2022-11-23T01:37:54.1497353Z Running tests... 2022-11-23T01:37:54.1578349Z ---------------------------------------------------------------------- 2022-11-23T01:37:54.1579117Z test_auto_simd (__main__.CPUReproTests) ... ok (0.283s) 2022-11-23T01:37:54.1579556Z test_complex_memory_overlap (__main__.CPUReproTests) ... ok (0.002s) 2022-11-23T01:37:54.1580476Z test_conv_stride_constraints (__main__.CPUReproTests) ... [2022-11-23 01:29:10,445] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None 2022-11-23T01:37:54.1581372Z [2022-11-23 01:29:11,873] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7i/c7iyv7dvcolgqlnjpdc2ophj6ebnnoj6h4qsyiajwltoq6gkoyy6.py 2022-11-23T01:37:54.1582209Z [2022-11-23 01:29:11,874] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None 2022-11-23T01:37:54.1582849Z [2022-11-23 01:29:11,883] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None 2022-11-23T01:37:54.1583684Z [2022-11-23 01:29:11,888] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7i/c7itsynl2vkz7jitbl4iklwk2omp6o5ztdmjbaivkv3lhw2d65e4.py 2022-11-23T01:37:54.1584459Z [2022-11-23 01:29:11,888] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None 2022-11-23T01:37:54.1584754Z 2022-11-23T01:37:54.1584898Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.1585412Z import torch 2022-11-23T01:37:54.1585674Z import random 2022-11-23T01:37:54.1585957Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.1586352Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.1586579Z 2022-11-23T01:37:54.1586690Z aten = torch.ops.aten 2022-11-23T01:37:54.1853092Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.1853540Z async_compile = AsyncCompile() 2022-11-23T01:37:54.1853770Z 2022-11-23T01:37:54.1853779Z 2022-11-23T01:37:54.1854102Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.1854860Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.1855199Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.1855445Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.1855633Z { 2022-11-23T01:37:54.1855810Z #pragma omp parallel num_threads(4) 2022-11-23T01:37:54.1856007Z { 2022-11-23T01:37:54.1856189Z #pragma omp for collapse(2) 2022-11-23T01:37:54.1856390Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:54.1856613Z { 2022-11-23T01:37:54.1856806Z for(long i1=0; i1<5; i1+=1) 2022-11-23T01:37:54.1856972Z { 2022-11-23T01:37:54.1857151Z #pragma GCC ivdep 2022-11-23T01:37:54.1857355Z for(long i2=0; i2<256; i2+=1) 2022-11-23T01:37:54.1857526Z { 2022-11-23T01:37:54.1857692Z { 2022-11-23T01:37:54.1857861Z { 2022-11-23T01:37:54.1858076Z auto tmp0 = in_ptr0[i2 + (256*i1) + (1280*i0)]; 2022-11-23T01:37:54.1858311Z out_ptr0[i1 + (5*i2) + (1280*i0)] = tmp0; 2022-11-23T01:37:54.1858513Z } 2022-11-23T01:37:54.1858684Z } 2022-11-23T01:37:54.1859028Z } 2022-11-23T01:37:54.1859328Z } 2022-11-23T01:37:54.1859614Z } 2022-11-23T01:37:54.1859820Z } 2022-11-23T01:37:54.1860072Z } 2022-11-23T01:37:54.1860369Z ''') 2022-11-23T01:37:54.1860488Z 2022-11-23T01:37:54.1860494Z 2022-11-23T01:37:54.1860627Z async_compile.wait(globals()) 2022-11-23T01:37:54.1860938Z del async_compile 2022-11-23T01:37:54.1861111Z 2022-11-23T01:37:54.1861228Z def call(args): 2022-11-23T01:37:54.1861518Z inp_1, weight_1 = args 2022-11-23T01:37:54.1861814Z args.clear() 2022-11-23T01:37:54.1862328Z buf0 = empty_strided((2, 5, 16, 16), (1280, 1, 80, 5), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.1862806Z kernel_cpp_0(c_void_p(inp_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.1863150Z del inp_1 2022-11-23T01:37:54.1863519Z buf1 = aten.convolution(buf0, weight_1, None, (1, 1), (0, 0), (1, 1), False, (0, 0), 1) 2022-11-23T01:37:54.1863940Z assert_size_stride(buf1, (2, 6, 14, 14), (1176, 1, 84, 6)) 2022-11-23T01:37:54.1864234Z del buf0 2022-11-23T01:37:54.1864505Z del weight_1 2022-11-23T01:37:54.1864779Z return (buf1, ) 2022-11-23T01:37:54.1864951Z 2022-11-23T01:37:54.1864958Z 2022-11-23T01:37:54.1865071Z if __name__ == "__main__": 2022-11-23T01:37:54.1865425Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.1865847Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.1866420Z inp_1 = rand_strided((2, 5, 16, 16), (1280, 256, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.1867052Z weight_1 = rand_strided((6, 5, 3, 3), (45, 1, 15, 5), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.1873625Z print_performance(lambda: call([inp_1, weight_1])) 2022-11-23T01:37:54.1873903Z 2022-11-23T01:37:54.1873959Z 2022-11-23T01:37:54.1874108Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.1877804Z import torch 2022-11-23T01:37:54.1878159Z import random 2022-11-23T01:37:54.1878562Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.1879062Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.1879550Z 2022-11-23T01:37:54.1879706Z aten = torch.ops.aten 2022-11-23T01:37:54.1880177Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.1880638Z async_compile = AsyncCompile() 2022-11-23T01:37:54.1880895Z 2022-11-23T01:37:54.1880904Z 2022-11-23T01:37:54.1881092Z async_compile.wait(globals()) 2022-11-23T01:37:54.1881450Z del async_compile 2022-11-23T01:37:54.1881642Z 2022-11-23T01:37:54.1881754Z def call(args): 2022-11-23T01:37:54.1882067Z inp_1, weight_1 = args 2022-11-23T01:37:54.1882484Z args.clear() 2022-11-23T01:37:54.1882892Z buf0 = aten.convolution(inp_1, weight_1, None, (1, 1), (0, 0), (1, 1), False, (0, 0), 1) 2022-11-23T01:37:54.1883249Z assert_size_stride(buf0, (2, 6, 14, 14), (1176, 196, 14, 1)) 2022-11-23T01:37:54.1883459Z del inp_1 2022-11-23T01:37:54.1883631Z del weight_1 2022-11-23T01:37:54.1883795Z return (buf0, ) 2022-11-23T01:37:54.1883904Z 2022-11-23T01:37:54.1883909Z 2022-11-23T01:37:54.1883990Z if __name__ == "__main__": 2022-11-23T01:37:54.1884214Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.1905297Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.1906066Z inp_1 = rand_strided((2, 5, 16, 16), (1280, 256, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.1906684Z weight_1 = rand_strided((6, 5, 3, 3), (45, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.1907194Z print_performance(lambda: call([inp_1, weight_1])) 2022-11-23T01:37:54.1907470Z 2022-11-23T01:37:54.1907589Z ok (1.454s) 2022-11-23T01:37:54.1908466Z test_inplace_add_alpha (__main__.CPUReproTests) ... [2022-11-23 01:29:11,894] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None 2022-11-23T01:37:54.1912363Z [2022-11-23 01:29:13,275] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/m2/cm2jydh6mw6rvyvoewoetthlpwkzvnzjcildf25453ntiighl5mk.py 2022-11-23T01:37:54.1923276Z [2022-11-23 01:29:13,275] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None 2022-11-23T01:37:54.1923648Z 2022-11-23T01:37:54.1923824Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.1924185Z import torch 2022-11-23T01:37:54.1924442Z import random 2022-11-23T01:37:54.1924781Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.1925454Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.1925727Z 2022-11-23T01:37:54.1925868Z aten = torch.ops.aten 2022-11-23T01:37:54.1926313Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.1926709Z async_compile = AsyncCompile() 2022-11-23T01:37:54.1926934Z 2022-11-23T01:37:54.1926944Z 2022-11-23T01:37:54.1927194Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.1927751Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.1928366Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.1928811Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.1929215Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.1929524Z { 2022-11-23T01:37:54.1929708Z #pragma omp parallel num_threads(4) 2022-11-23T01:37:54.1929881Z { 2022-11-23T01:37:54.1930029Z #pragma omp for 2022-11-23T01:37:54.1930202Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:37:54.1930360Z { 2022-11-23T01:37:54.1930587Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:54.1930856Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:54.1931129Z auto tmp2 = at::vec::Vectorized(static_cast(0.55)); 2022-11-23T01:37:54.1931355Z auto tmp3 = tmp1 * tmp2; 2022-11-23T01:37:54.1931633Z auto tmp4 = tmp0 + tmp3; 2022-11-23T01:37:54.1931959Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.1932243Z } 2022-11-23T01:37:54.1932746Z #pragma omp for simd simdlen(4) 2022-11-23T01:37:54.1933108Z for(long i0=8; i0<10; i0+=1) 2022-11-23T01:37:54.1934135Z { 2022-11-23T01:37:54.1934459Z auto tmp0 = out_ptr0[i0]; 2022-11-23T01:37:54.1934819Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:54.1935211Z auto tmp2 = static_cast(0.55); 2022-11-23T01:37:54.1935614Z auto tmp3 = tmp1 * tmp2; 2022-11-23T01:37:54.1935964Z auto tmp4 = tmp0 + tmp3; 2022-11-23T01:37:54.1936275Z out_ptr0[i0] = tmp4; 2022-11-23T01:37:54.1936562Z } 2022-11-23T01:37:54.1936833Z } 2022-11-23T01:37:54.1937165Z } 2022-11-23T01:37:54.1937504Z ''') 2022-11-23T01:37:54.1937657Z 2022-11-23T01:37:54.1937666Z 2022-11-23T01:37:54.1937825Z async_compile.wait(globals()) 2022-11-23T01:37:54.1938124Z del async_compile 2022-11-23T01:37:54.1938297Z 2022-11-23T01:37:54.1938422Z def call(args): 2022-11-23T01:37:54.1938696Z x_1, y_1 = args 2022-11-23T01:37:54.1939283Z args.clear() 2022-11-23T01:37:54.1939716Z kernel_cpp_0(c_void_p(x_1.data_ptr()), c_void_p(y_1.data_ptr()), c_void_p(x_1.data_ptr())) 2022-11-23T01:37:54.1940121Z del y_1 2022-11-23T01:37:54.1940422Z return (x_1, ) 2022-11-23T01:37:54.1940574Z 2022-11-23T01:37:54.1940597Z 2022-11-23T01:37:54.1940726Z if __name__ == "__main__": 2022-11-23T01:37:54.1941140Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.1941633Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.1942262Z x_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.1942895Z y_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.1943376Z print_performance(lambda: call([x_1, y_1])) 2022-11-23T01:37:54.1943637Z 2022-11-23T01:37:54.1943767Z ok (1.387s) 2022-11-23T01:37:54.1944623Z test_inplace_squeeze_needed (__main__.CPUReproTests) ... [2022-11-23 01:29:13,282] torch._dynamo.eval_frame: [DEBUG] skipping __init__ /opt/conda/lib/python3.7/contextlib.py 2022-11-23T01:37:54.1945487Z [2022-11-23 01:29:13,282] torch._dynamo.eval_frame: [DEBUG] skipping __enter__ /opt/conda/lib/python3.7/contextlib.py 2022-11-23T01:37:54.1946339Z [2022-11-23 01:29:13,282] torch._dynamo.eval_frame: [DEBUG] skipping __init__ /opt/conda/lib/python3.7/contextlib.py 2022-11-23T01:37:54.1947186Z [2022-11-23 01:29:13,282] torch._dynamo.eval_frame: [DEBUG] skipping __enter__ /opt/conda/lib/python3.7/contextlib.py 2022-11-23T01:37:54.1947998Z [2022-11-23 01:29:13,282] torch._dynamo.eval_frame: [DEBUG] skipping enable_dynamic /opt/conda/lib/python3.7/site-packages/torch/_dynamo/eval_frame.py 2022-11-23T01:37:54.1948876Z [2022-11-23 01:29:13,284] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:37:54.1949610Z [2022-11-23 01:29:13,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4698 2022-11-23T01:37:54.1950337Z [2022-11-23 01:29:13,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF mod [] 2022-11-23T01:37:54.1951038Z [2022-11-23 01:29:13,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:37:54.1951789Z [2022-11-23 01:29:13,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:37:54.1952510Z [2022-11-23 01:29:13,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.1953172Z [2022-11-23 01:29:13,299] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:37:54.1953869Z [2022-11-23 01:29:13,300] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:37:54.1954558Z [2022-11-23 01:29:13,311] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:37:54.1955157Z [2022-11-23 01:29:13,311] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.1955719Z __compiled_fn_0 .7 opcode, name, target, args, kwargs 2022-11-23T01:37:54.1956115Z placeholder, x, x, (), {} 2022-11-23T01:37:54.1956456Z call_module, mod_0, mod_0, (x,), {} 2022-11-23T01:37:54.1956833Z call_module, mod_1, mod_1, (mod_0,), {} 2022-11-23T01:37:54.1957237Z call_module, mod_2, mod_2, (mod_1,), {} 2022-11-23T01:37:54.1957624Z output, output, output, ((mod_2,),), {} 2022-11-23T01:37:54.1957825Z 2022-11-23T01:37:54.1958276Z [2022-11-23 01:29:13,311] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 4696 2022-11-23T01:37:54.1958721Z 4698 0 LOAD_DEREF 0 (mod) 2022-11-23T01:37:54.1959114Z 2 LOAD_FAST 0 (x) 2022-11-23T01:37:54.1959426Z 4 CALL_FUNCTION 1 2022-11-23T01:37:54.1959711Z 6 RETURN_VALUE 2022-11-23T01:37:54.1959890Z 2022-11-23T01:37:54.1959992Z 2022-11-23T01:37:54.1960556Z [2022-11-23 01:29:13,311] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 4696 2022-11-23T01:37:54.1961041Z 4696 0 LOAD_GLOBAL 0 (__compiled_fn_0) 2022-11-23T01:37:54.1961365Z 2 LOAD_FAST 0 (x) 2022-11-23T01:37:54.1961690Z 4 CALL_FUNCTION 1 2022-11-23T01:37:54.1962016Z 6 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.1962300Z 8 RETURN_VALUE 2022-11-23T01:37:54.1962482Z 2022-11-23T01:37:54.1962583Z 2022-11-23T01:37:54.1963006Z [2022-11-23 01:29:13,428] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.1963319Z - 2022-11-23T01:37:54.1963654Z local 'x' TENSOR_MATCH 2022-11-23T01:37:54.1963934Z { 2022-11-23T01:37:54.1964291Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.1964653Z 'code': None, 2022-11-23T01:37:54.1965150Z 'obj_weakref': 2022-11-23T01:37:54.1965762Z 'guarded_class': 2022-11-23T01:37:54.1966148Z } 2022-11-23T01:37:54.1966394Z 2022-11-23T01:37:54.1966648Z - 2022-11-23T01:37:54.1966955Z local 'mod' NN_MODULE 2022-11-23T01:37:54.1967228Z { 2022-11-23T01:37:54.1967576Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.1967998Z 'code': ['___check_obj_id(mod, 140539441864464)'], 2022-11-23T01:37:54.1968540Z 'obj_weakref': 2022-11-23T01:37:54.1969139Z 'guarded_class': 2022-11-23T01:37:54.1969481Z } 2022-11-23T01:37:54.1969726Z 2022-11-23T01:37:54.1969986Z - 2022-11-23T01:37:54.1970327Z local_nn_module 'mod[0]' NN_MODULE 2022-11-23T01:37:54.1970623Z { 2022-11-23T01:37:54.1970958Z 'guard_types': None, 2022-11-23T01:37:54.1971289Z 'code': None, 2022-11-23T01:37:54.1971639Z 'obj_weakref': None 2022-11-23T01:37:54.1972006Z 'guarded_class': None 2022-11-23T01:37:54.1972278Z } 2022-11-23T01:37:54.1972503Z 2022-11-23T01:37:54.1972762Z - 2022-11-23T01:37:54.1973117Z local_nn_module 'mod[1]' NN_MODULE 2022-11-23T01:37:54.1973393Z { 2022-11-23T01:37:54.1973726Z 'guard_types': None, 2022-11-23T01:37:54.1974066Z 'code': None, 2022-11-23T01:37:54.1974402Z 'obj_weakref': None 2022-11-23T01:37:54.1974763Z 'guarded_class': None 2022-11-23T01:37:54.1975040Z } 2022-11-23T01:37:54.1975265Z 2022-11-23T01:37:54.1975513Z - 2022-11-23T01:37:54.1975865Z local_nn_module 'mod[2]' NN_MODULE 2022-11-23T01:37:54.1976132Z { 2022-11-23T01:37:54.1976474Z 'guard_types': None, 2022-11-23T01:37:54.1976871Z 'code': None, 2022-11-23T01:37:54.1977205Z 'obj_weakref': None 2022-11-23T01:37:54.1977567Z 'guarded_class': None 2022-11-23T01:37:54.1977842Z } 2022-11-23T01:37:54.1978071Z 2022-11-23T01:37:54.1978679Z [2022-11-23 01:29:13,428] torch._dynamo.eval_frame: [DEBUG] skipping _fn /opt/conda/lib/python3.7/site-packages/torch/_dynamo/eval_frame.py 2022-11-23T01:37:54.1979593Z [2022-11-23 01:29:13,428] torch._dynamo.eval_frame: [DEBUG] skipping nothing /opt/conda/lib/python3.7/site-packages/torch/_dynamo/eval_frame.py 2022-11-23T01:37:54.1980329Z [2022-11-23 01:29:13,859] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 0 2022-11-23T01:37:54.1981277Z [2022-11-23 01:29:15,494] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vi/cvinstuwloedhvnuzb46rfcseww2iaiqid3nj2adte4pdaxkeyqd.py 2022-11-23T01:37:54.1982092Z [2022-11-23 01:29:15,495] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 0 2022-11-23T01:37:54.1982782Z [2022-11-23 01:29:15,498] torch._dynamo.eval_frame: [DEBUG] skipping __exit__ /opt/conda/lib/python3.7/contextlib.py 2022-11-23T01:37:54.1983456Z [2022-11-23 01:29:15,498] torch._dynamo.eval_frame: [DEBUG] skipping __exit__ /opt/conda/lib/python3.7/contextlib.py 2022-11-23T01:37:54.1983750Z 2022-11-23T01:37:54.1983879Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.1984179Z import torch 2022-11-23T01:37:54.1984440Z import random 2022-11-23T01:37:54.1984748Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.1985146Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.1985376Z 2022-11-23T01:37:54.1985503Z aten = torch.ops.aten 2022-11-23T01:37:54.1985875Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.1986231Z async_compile = AsyncCompile() 2022-11-23T01:37:54.1986420Z 2022-11-23T01:37:54.1986426Z 2022-11-23T01:37:54.1986642Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.1987156Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.1987643Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:37:54.1988040Z float* __restrict__ in_out_ptr1, 2022-11-23T01:37:54.1988489Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.1988879Z const float* __restrict__ in_ptr2, 2022-11-23T01:37:54.1989233Z const float* __restrict__ in_ptr3, 2022-11-23T01:37:54.1989609Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.1989990Z float* __restrict__ out_ptr2, 2022-11-23T01:37:54.1990340Z float* __restrict__ out_ptr3, 2022-11-23T01:37:54.1990703Z bool* __restrict__ out_ptr4) 2022-11-23T01:37:54.1991009Z { 2022-11-23T01:37:54.1991291Z auto in_ptr0 = in_out_ptr0; 2022-11-23T01:37:54.1991615Z auto out_ptr1 = in_out_ptr1; 2022-11-23T01:37:54.1991914Z { 2022-11-23T01:37:54.1992359Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:37:54.1992816Z float tmp3 = 0; 2022-11-23T01:37:54.1993179Z auto tmp3_vec = at::vec::Vectorized(tmp3); 2022-11-23T01:37:54.1993583Z #pragma omp parallel num_threads(4) 2022-11-23T01:37:54.1993885Z { 2022-11-23T01:37:54.1994214Z #pragma omp for reduction(+:tmp3_vec) 2022-11-23T01:37:54.1994579Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:37:54.1994853Z { 2022-11-23T01:37:54.1995234Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:54.1995713Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:54.1996108Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.1996423Z tmp3_vec += tmp2; 2022-11-23T01:37:54.1996724Z } 2022-11-23T01:37:54.1997303Z tmp3 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp3_vec); 2022-11-23T01:37:54.1997809Z #pragma omp for simd simdlen(4) reduction(+:tmp3) 2022-11-23T01:37:54.1998199Z for(long i0=8; i0<10; i0+=1) 2022-11-23T01:37:54.1998506Z { 2022-11-23T01:37:54.1998796Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.1999131Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:54.1999457Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.1999776Z tmp3 += tmp2; 2022-11-23T01:37:54.2000096Z } 2022-11-23T01:37:54.2000354Z } 2022-11-23T01:37:54.2000647Z out_ptr0[0] = tmp3; 2022-11-23T01:37:54.2000920Z } 2022-11-23T01:37:54.2001177Z { 2022-11-23T01:37:54.2001639Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:37:54.2002081Z float tmp8 = 0; 2022-11-23T01:37:54.2002451Z auto tmp8_vec = at::vec::Vectorized(tmp8); 2022-11-23T01:37:54.2002812Z float tmp9 = 0; 2022-11-23T01:37:54.2003167Z auto tmp9_vec = at::vec::Vectorized(tmp9); 2022-11-23T01:37:54.2003591Z #pragma omp parallel num_threads(4) 2022-11-23T01:37:54.2003918Z { 2022-11-23T01:37:54.2004282Z #pragma omp for reduction(+:tmp8_vec) reduction(+:tmp9_vec) 2022-11-23T01:37:54.2004697Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:37:54.2005005Z { 2022-11-23T01:37:54.2005393Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:54.2005863Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:54.2006329Z auto tmp3 = at::vec::Vectorized(out_ptr0[0]); 2022-11-23T01:37:54.2006721Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.2007130Z auto tmp4 = at::vec::Vectorized(static_cast(10)); 2022-11-23T01:37:54.2007546Z auto tmp5 = tmp3 / tmp4; 2022-11-23T01:37:54.2008028Z auto tmp6 = tmp2 - tmp5; 2022-11-23T01:37:54.2008429Z auto tmp7 = tmp6.pow(2); 2022-11-23T01:37:54.2008793Z tmp8_vec += tmp7; 2022-11-23T01:37:54.2009160Z tmp9_vec += tmp2; 2022-11-23T01:37:54.2009501Z } 2022-11-23T01:37:54.2009986Z tmp8 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp8_vec); 2022-11-23T01:37:54.2010667Z tmp9 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp9_vec); 2022-11-23T01:37:54.2011242Z #pragma omp for simd simdlen(4) reduction(+:tmp8) reduction(+:tmp9) 2022-11-23T01:37:54.2011660Z for(long i0=8; i0<10; i0+=1) 2022-11-23T01:37:54.2011946Z { 2022-11-23T01:37:54.2012264Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.2012625Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:54.2012950Z auto tmp3 = out_ptr0[0]; 2022-11-23T01:37:54.2013308Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.2013683Z auto tmp4 = static_cast(10); 2022-11-23T01:37:54.2014027Z auto tmp5 = tmp3 / tmp4; 2022-11-23T01:37:54.2014470Z auto tmp6 = tmp2 - tmp5; 2022-11-23T01:37:54.2014820Z auto tmp7 = tmp6 * tmp6; 2022-11-23T01:37:54.2015127Z tmp8 += tmp7; 2022-11-23T01:37:54.2015445Z tmp9 += tmp2; 2022-11-23T01:37:54.2015745Z } 2022-11-23T01:37:54.2015993Z } 2022-11-23T01:37:54.2016294Z out_ptr1[0] = tmp8; 2022-11-23T01:37:54.2016605Z out_ptr2[0] = tmp9; 2022-11-23T01:37:54.2016908Z } 2022-11-23T01:37:54.2017218Z #pragma omp parallel num_threads(4) 2022-11-23T01:37:54.2017532Z { 2022-11-23T01:37:54.2017909Z #pragma omp for 2022-11-23T01:37:54.2018214Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:54.2018508Z { 2022-11-23T01:37:54.2018962Z { 2022-11-23T01:37:54.2019191Z { 2022-11-23T01:37:54.2019500Z auto tmp0 = in_out_ptr0[i0]; 2022-11-23T01:37:54.2019850Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:54.2020158Z auto tmp3 = out_ptr2[0]; 2022-11-23T01:37:54.2020481Z auto tmp7 = out_ptr1[0]; 2022-11-23T01:37:54.2020807Z auto tmp14 = in_ptr2[i0]; 2022-11-23T01:37:54.2021112Z auto tmp16 = in_ptr3[i0]; 2022-11-23T01:37:54.2021517Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.2021871Z auto tmp4 = static_cast(10); 2022-11-23T01:37:54.2022201Z auto tmp5 = tmp3 / tmp4; 2022-11-23T01:37:54.2022627Z auto tmp6 = tmp2 - tmp5; 2022-11-23T01:37:54.2022958Z auto tmp8 = tmp7 / tmp4; 2022-11-23T01:37:54.2023399Z auto tmp9 = static_cast(1e-05); 2022-11-23T01:37:54.2023729Z auto tmp10 = tmp8 + tmp9; 2022-11-23T01:37:54.2024071Z auto tmp11 = std::sqrt(tmp10); 2022-11-23T01:37:54.2024413Z auto tmp12 = 1 / tmp11; 2022-11-23T01:37:54.2024728Z auto tmp13 = tmp6 * tmp12; 2022-11-23T01:37:54.2025052Z auto tmp15 = tmp13 * tmp14; 2022-11-23T01:37:54.2025374Z auto tmp17 = tmp15 + tmp16; 2022-11-23T01:37:54.2025678Z auto tmp18 = tmp17 * (tmp17>0); 2022-11-23T01:37:54.2026035Z auto tmp19 = static_cast(0); 2022-11-23T01:37:54.2026370Z auto tmp20 = tmp18 <= tmp19; 2022-11-23T01:37:54.2026666Z in_out_ptr0[i0] = tmp13; 2022-11-23T01:37:54.2026972Z out_ptr3[i0] = tmp18; 2022-11-23T01:37:54.2027270Z out_ptr4[i0] = tmp20; 2022-11-23T01:37:54.2027555Z } 2022-11-23T01:37:54.2027782Z } 2022-11-23T01:37:54.2028024Z } 2022-11-23T01:37:54.2028352Z #pragma omp single 2022-11-23T01:37:54.2028616Z { 2022-11-23T01:37:54.2028878Z { 2022-11-23T01:37:54.2029145Z { 2022-11-23T01:37:54.2029421Z auto tmp0 = out_ptr1[0]; 2022-11-23T01:37:54.2029757Z auto tmp1 = static_cast(10); 2022-11-23T01:37:54.2030107Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:54.2030555Z auto tmp3 = static_cast(1e-05); 2022-11-23T01:37:54.2030920Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:54.2031255Z auto tmp5 = std::sqrt(tmp4); 2022-11-23T01:37:54.2031565Z auto tmp6 = 1 / tmp5; 2022-11-23T01:37:54.2031887Z auto tmp7 = tmp6 / tmp1; 2022-11-23T01:37:54.2032204Z in_out_ptr1[0] = tmp7; 2022-11-23T01:37:54.2032497Z } 2022-11-23T01:37:54.2032737Z } 2022-11-23T01:37:54.2032996Z } 2022-11-23T01:37:54.2033257Z } 2022-11-23T01:37:54.2033474Z } 2022-11-23T01:37:54.2033734Z ''') 2022-11-23T01:37:54.2033880Z 2022-11-23T01:37:54.2033887Z 2022-11-23T01:37:54.2034032Z async_compile.wait(globals()) 2022-11-23T01:37:54.2034312Z del async_compile 2022-11-23T01:37:54.2034478Z 2022-11-23T01:37:54.2034588Z def call(args): 2022-11-23T01:37:54.2034931Z primals_1, primals_2, primals_3, primals_4, primals_5 = args 2022-11-23T01:37:54.2035255Z args.clear() 2022-11-23T01:37:54.2035732Z buf0 = empty_strided((1, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.2036207Z aten.mm.out(as_strided(primals_5, (1, 10), (10, 1)), as_strided(primals_1, (10, 10), (1, 10)), out=buf0) 2022-11-23T01:37:54.2036562Z del primals_1 2022-11-23T01:37:54.2036991Z buf1 = empty_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.2037610Z buf2 = empty_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.2038146Z buf3 = empty_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.2038554Z buf4 = as_strided(buf0, (10, ), (1, )); del buf0 # reuse 2022-11-23T01:37:54.2039046Z buf5 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.2039567Z buf6 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.2039925Z buf7 = buf2; del buf2 # reuse 2022-11-23T01:37:54.2040600Z kernel_cpp_0(c_void_p(buf4.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(primals_3.data_ptr()), c_void_p(primals_4.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr())) 2022-11-23T01:37:54.2041321Z del buf1 2022-11-23T01:37:54.2041572Z del buf3 2022-11-23T01:37:54.2041844Z del primals_2 2022-11-23T01:37:54.2042128Z del primals_4 2022-11-23T01:37:54.2042495Z return (buf5, primals_3, as_strided(primals_5, (1, 10), (10, 1)), buf4, buf6, buf7, ) 2022-11-23T01:37:54.2042754Z 2022-11-23T01:37:54.2042760Z 2022-11-23T01:37:54.2042889Z if __name__ == "__main__": 2022-11-23T01:37:54.2043227Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.2043608Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.2044165Z primals_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.2044717Z primals_2 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.2045266Z primals_3 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.2045791Z primals_4 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.2046333Z primals_5 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.2046807Z print_performance(lambda: call([primals_1, primals_2, primals_3, primals_4, primals_5])) 2022-11-23T01:37:54.2047107Z 2022-11-23T01:37:54.2047218Z ok (2.222s) 2022-11-23T01:37:54.2047853Z test_masked_fill_softmax (__main__.CPUReproTests) ... [2022-11-23 01:29:15,505] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:37:54.2048630Z [2022-11-23 01:29:15,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4853 2022-11-23T01:37:54.2049291Z [2022-11-23 01:29:15,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask [] 2022-11-23T01:37:54.2049890Z [2022-11-23 01:29:15,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable()] 2022-11-23T01:37:54.2050614Z [2022-11-23 01:29:15,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [GetAttrVariable(TensorVariable(), to)] 2022-11-23T01:37:54.2051602Z [2022-11-23 01:29:15,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bool [GetAttrVariable(TensorVariable(), to), TorchVariable()] 2022-11-23T01:37:54.2052529Z [2022-11-23 01:29:15,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), to), ConstantVariable(dtype)] 2022-11-23T01:37:54.2053258Z [2022-11-23 01:29:15,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST mask [TensorVariable()] 2022-11-23T01:37:54.2053954Z [2022-11-23 01:29:15,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4854 2022-11-23T01:37:54.2054607Z [2022-11-23 01:29:15,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.2055455Z [2022-11-23 01:29:15,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill [TorchVariable()] 2022-11-23T01:37:54.2056426Z [2022-11-23 01:29:15,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST value [TorchVariable()] 2022-11-23T01:37:54.2057314Z [2022-11-23 01:29:15,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.2058272Z [2022-11-23 01:29:15,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -33.0 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.2059528Z [2022-11-23 01:29:15,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:37:54.2060426Z [2022-11-23 01:29:15,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.2061131Z [2022-11-23 01:29:15,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4855 2022-11-23T01:37:54.2061759Z [2022-11-23 01:29:15,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.2062589Z [2022-11-23 01:29:15,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TorchVariable()] 2022-11-23T01:37:54.2063492Z [2022-11-23 01:29:15,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:37:54.2064393Z [2022-11-23 01:29:15,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.2065341Z [2022-11-23 01:29:15,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.2066126Z [2022-11-23 01:29:15,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.2066769Z [2022-11-23 01:29:15,515] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:37:54.2067409Z [2022-11-23 01:29:15,516] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:37:54.2068029Z [2022-11-23 01:29:15,522] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:37:54.2068682Z [2022-11-23 01:29:15,522] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.2069122Z __compiled_fn_1 .18 opcode, name, target, args, kwargs 2022-11-23T01:37:54.2069510Z placeholder, value, value, (), {} 2022-11-23T01:37:54.2069818Z placeholder, mask, mask, (), {} 2022-11-23T01:37:54.2070167Z call_method, to, to, (mask, torch.bool), {} 2022-11-23T01:37:54.2070792Z call_function, masked_fill, , (value, to, -33.0), {} 2022-11-23T01:37:54.2071451Z call_function, softmax, , (masked_fill, -1), {} 2022-11-23T01:37:54.2071904Z output, output, output, ((softmax,),), {} 2022-11-23T01:37:54.2072115Z 2022-11-23T01:37:54.2072554Z [2022-11-23 01:29:15,522] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 4852 2022-11-23T01:37:54.2073017Z 4853 0 LOAD_FAST 1 (mask) 2022-11-23T01:37:54.2073329Z 2 LOAD_METHOD 0 (to) 2022-11-23T01:37:54.2073649Z 4 LOAD_GLOBAL 1 (torch) 2022-11-23T01:37:54.2073977Z 6 LOAD_ATTR 2 (bool) 2022-11-23T01:37:54.2074269Z 8 CALL_METHOD 1 2022-11-23T01:37:54.2074595Z 10 STORE_FAST 1 (mask) 2022-11-23T01:37:54.2074790Z 2022-11-23T01:37:54.2074937Z 4854 12 LOAD_GLOBAL 1 (torch) 2022-11-23T01:37:54.2075336Z 14 LOAD_METHOD 3 (masked_fill) 2022-11-23T01:37:54.2075653Z 16 LOAD_FAST 0 (value) 2022-11-23T01:37:54.2075984Z 18 LOAD_FAST 1 (mask) 2022-11-23T01:37:54.2076394Z 20 LOAD_CONST 1 (-33.0) 2022-11-23T01:37:54.2076707Z 22 CALL_METHOD 3 2022-11-23T01:37:54.2077040Z 24 STORE_FAST 2 (x) 2022-11-23T01:37:54.2077228Z 2022-11-23T01:37:54.2077381Z 4855 26 LOAD_GLOBAL 1 (torch) 2022-11-23T01:37:54.2077707Z 28 LOAD_METHOD 4 (softmax) 2022-11-23T01:37:54.2078060Z 30 LOAD_FAST 2 (x) 2022-11-23T01:37:54.2078463Z 32 LOAD_CONST 2 (-1) 2022-11-23T01:37:54.2078786Z 34 CALL_METHOD 2 2022-11-23T01:37:54.2079073Z 36 RETURN_VALUE 2022-11-23T01:37:54.2079257Z 2022-11-23T01:37:54.2079355Z 2022-11-23T01:37:54.2079924Z [2022-11-23 01:29:15,522] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 4852 2022-11-23T01:37:54.2080400Z 4852 0 LOAD_GLOBAL 5 (__compiled_fn_1) 2022-11-23T01:37:54.2080725Z 2 LOAD_FAST 0 (value) 2022-11-23T01:37:54.2081052Z 4 LOAD_FAST 1 (mask) 2022-11-23T01:37:54.2081370Z 6 CALL_FUNCTION 2 2022-11-23T01:37:54.2081683Z 8 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.2081984Z 10 RETURN_VALUE 2022-11-23T01:37:54.2082158Z 2022-11-23T01:37:54.2082252Z 2022-11-23T01:37:54.2082651Z [2022-11-23 01:29:15,523] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.2082998Z - 2022-11-23T01:37:54.2083342Z local 'mask' TENSOR_MATCH 2022-11-23T01:37:54.2083618Z { 2022-11-23T01:37:54.2084000Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.2084367Z 'code': None, 2022-11-23T01:37:54.2084871Z 'obj_weakref': 2022-11-23T01:37:54.2085508Z 'guarded_class': 2022-11-23T01:37:54.2085886Z } 2022-11-23T01:37:54.2086137Z 2022-11-23T01:37:54.2086383Z - 2022-11-23T01:37:54.2086734Z local 'value' TENSOR_MATCH 2022-11-23T01:37:54.2087021Z { 2022-11-23T01:37:54.2087392Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.2087770Z 'code': None, 2022-11-23T01:37:54.2088271Z 'obj_weakref': 2022-11-23T01:37:54.2088882Z 'guarded_class': 2022-11-23T01:37:54.2089269Z } 2022-11-23T01:37:54.2089522Z 2022-11-23T01:37:54.2089777Z - 2022-11-23T01:37:54.2090101Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.2090386Z { 2022-11-23T01:37:54.2090728Z 'guard_types': None, 2022-11-23T01:37:54.2091064Z 'code': None, 2022-11-23T01:37:54.2091410Z 'obj_weakref': None 2022-11-23T01:37:54.2091774Z 'guarded_class': None 2022-11-23T01:37:54.2092037Z } 2022-11-23T01:37:54.2092285Z 2022-11-23T01:37:54.2092551Z - 2022-11-23T01:37:54.2092917Z global 'torch.bool' CONSTANT_MATCH 2022-11-23T01:37:54.2093220Z { 2022-11-23T01:37:54.2093596Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:54.2094030Z 'code': ["str(torch.bool) == 'torch.bool'"], 2022-11-23T01:37:54.2094440Z 'obj_weakref': None 2022-11-23T01:37:54.2094973Z 'guarded_class': 2022-11-23T01:37:54.2095307Z } 2022-11-23T01:37:54.2095622Z 2022-11-23T01:37:54.2096169Z [2022-11-23 01:29:15,536] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 1 2022-11-23T01:37:54.2097075Z [2022-11-23 01:29:17,014] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/e7/ce7orhotzymm3zi74gy3nj22wpvnmmuhfjzifvr4k2kkfzrmafto.py 2022-11-23T01:37:54.2097878Z [2022-11-23 01:29:17,015] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 1 2022-11-23T01:37:54.2098190Z 2022-11-23T01:37:54.2098341Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.2098639Z import torch 2022-11-23T01:37:54.2099082Z import random 2022-11-23T01:37:54.2099421Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.2099841Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.2100075Z 2022-11-23T01:37:54.2100203Z aten = torch.ops.aten 2022-11-23T01:37:54.2100561Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.2100958Z async_compile = AsyncCompile() 2022-11-23T01:37:54.2101155Z 2022-11-23T01:37:54.2101160Z 2022-11-23T01:37:54.2101384Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.2101864Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.2102403Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:37:54.2102800Z const unsigned char* __restrict__ in_ptr0, 2022-11-23T01:37:54.2103176Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.2103516Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.2103872Z float* __restrict__ out_ptr2) 2022-11-23T01:37:54.2104156Z { 2022-11-23T01:37:54.2104411Z auto out_ptr1 = in_out_ptr0; 2022-11-23T01:37:54.2104746Z #pragma omp parallel num_threads(4) 2022-11-23T01:37:54.2105047Z { 2022-11-23T01:37:54.2105295Z #pragma omp for 2022-11-23T01:37:54.2105597Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:54.2105870Z { 2022-11-23T01:37:54.2106108Z { 2022-11-23T01:37:54.2106866Z #pragma omp declare reduction(max:at::vec::Vectorized:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits::infinity()}}) 2022-11-23T01:37:54.2107628Z float tmp5 = -std::numeric_limits::infinity(); 2022-11-23T01:37:54.2108046Z auto tmp5_vec = at::vec::Vectorized(tmp5); 2022-11-23T01:37:54.2108455Z for(long i1=0; i1<2; i1+=1) 2022-11-23T01:37:54.2108751Z { 2022-11-23T01:37:54.2109069Z float g_tmp_buffer_in_ptr0[8] = {0}; 2022-11-23T01:37:54.2109450Z flag_to_float(in_ptr0 + (8*i1) + (17*i0), g_tmp_buffer_in_ptr0, 8); 2022-11-23T01:37:54.2109935Z auto tmp0 = at::vec::Vectorized::loadu(g_tmp_buffer_in_ptr0); 2022-11-23T01:37:54.2110409Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr1 + (8*i1) + (17*i0)); 2022-11-23T01:37:54.2110782Z auto tmp1 = (tmp0); 2022-11-23T01:37:54.2111270Z auto tmp2 = at::vec::Vectorized(static_cast(-33.0)); 2022-11-23T01:37:54.2111725Z auto tmp4 = decltype(tmp2)::blendv(tmp3, tmp2, tmp1); 2022-11-23T01:37:54.2112137Z tmp5_vec = at::vec::maximum(tmp5_vec, tmp4); 2022-11-23T01:37:54.2112451Z } 2022-11-23T01:37:54.2112912Z tmp5 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return at::vec::maximum(x, y);}, tmp5_vec); 2022-11-23T01:37:54.2113428Z #pragma omp simd simdlen(4) reduction(max:tmp5) 2022-11-23T01:37:54.2113788Z for(long i1=16; i1<17; i1+=1) 2022-11-23T01:37:54.2114164Z { 2022-11-23T01:37:54.2114469Z auto tmp0 = in_ptr0[i1 + (17*i0)]; 2022-11-23T01:37:54.2114915Z auto tmp3 = in_ptr1[i1 + (17*i0)]; 2022-11-23T01:37:54.2115278Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:37:54.2115722Z auto tmp2 = static_cast(-33.0); 2022-11-23T01:37:54.2116083Z auto tmp4 = tmp1 ? tmp2 : tmp3; 2022-11-23T01:37:54.2116424Z tmp5 = std::max(tmp5, tmp4); 2022-11-23T01:37:54.2116689Z } 2022-11-23T01:37:54.2116965Z out_ptr0[i0] = tmp5; 2022-11-23T01:37:54.2117250Z } 2022-11-23T01:37:54.2117485Z } 2022-11-23T01:37:54.2117739Z #pragma omp for 2022-11-23T01:37:54.2118093Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:54.2118354Z { 2022-11-23T01:37:54.2118607Z { 2022-11-23T01:37:54.2119037Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:37:54.2119465Z float tmp8 = 0; 2022-11-23T01:37:54.2119812Z auto tmp8_vec = at::vec::Vectorized(tmp8); 2022-11-23T01:37:54.2120173Z for(long i1=0; i1<2; i1+=1) 2022-11-23T01:37:54.2120466Z { 2022-11-23T01:37:54.2120750Z float g_tmp_buffer_in_ptr0[8] = {0}; 2022-11-23T01:37:54.2121145Z flag_to_float(in_ptr0 + (8*i1) + (17*i0), g_tmp_buffer_in_ptr0, 8); 2022-11-23T01:37:54.2121595Z auto tmp0 = at::vec::Vectorized::loadu(g_tmp_buffer_in_ptr0); 2022-11-23T01:37:54.2122061Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr1 + (8*i1) + (17*i0)); 2022-11-23T01:37:54.2122496Z auto tmp5 = at::vec::Vectorized(out_ptr0[i0]); 2022-11-23T01:37:54.2122850Z auto tmp1 = (tmp0); 2022-11-23T01:37:54.2123362Z auto tmp2 = at::vec::Vectorized(static_cast(-33.0)); 2022-11-23T01:37:54.2123774Z auto tmp4 = decltype(tmp2)::blendv(tmp3, tmp2, tmp1); 2022-11-23T01:37:54.2124227Z auto tmp6 = tmp4 - tmp5; 2022-11-23T01:37:54.2124554Z auto tmp7 = tmp6.exp(); 2022-11-23T01:37:54.2124893Z tmp7.store(out_ptr1 + (8*i1) + (17*i0)); 2022-11-23T01:37:54.2125210Z tmp8_vec += tmp7; 2022-11-23T01:37:54.2125485Z } 2022-11-23T01:37:54.2125933Z tmp8 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp8_vec); 2022-11-23T01:37:54.2126420Z #pragma omp simd simdlen(4) reduction(+:tmp8) 2022-11-23T01:37:54.2126790Z for(long i1=16; i1<17; i1+=1) 2022-11-23T01:37:54.2127085Z { 2022-11-23T01:37:54.2127390Z auto tmp0 = in_ptr0[i1 + (17*i0)]; 2022-11-23T01:37:54.2127712Z auto tmp3 = in_ptr1[i1 + (17*i0)]; 2022-11-23T01:37:54.2128047Z auto tmp5 = out_ptr0[i0]; 2022-11-23T01:37:54.2128398Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:37:54.2128862Z auto tmp2 = static_cast(-33.0); 2022-11-23T01:37:54.2129221Z auto tmp4 = tmp1 ? tmp2 : tmp3; 2022-11-23T01:37:54.2129636Z auto tmp6 = tmp4 - tmp5; 2022-11-23T01:37:54.2129951Z auto tmp7 = std::exp(tmp6); 2022-11-23T01:37:54.2130274Z out_ptr1[i1 + (17*i0)] = tmp7; 2022-11-23T01:37:54.2130573Z tmp8 += tmp7; 2022-11-23T01:37:54.2130838Z } 2022-11-23T01:37:54.2131098Z out_ptr2[i0] = tmp8; 2022-11-23T01:37:54.2131371Z } 2022-11-23T01:37:54.2131634Z } 2022-11-23T01:37:54.2131891Z #pragma omp for 2022-11-23T01:37:54.2132195Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:54.2132464Z { 2022-11-23T01:37:54.2132718Z for(long i1=0; i1<2; i1+=1) 2022-11-23T01:37:54.2132997Z { 2022-11-23T01:37:54.2133413Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr1 + (8*i1) + (17*i0)); 2022-11-23T01:37:54.2133837Z auto tmp1 = at::vec::Vectorized(out_ptr2[i0]); 2022-11-23T01:37:54.2134199Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:54.2134545Z tmp2.store(in_out_ptr0 + (8*i1) + (17*i0)); 2022-11-23T01:37:54.2134828Z } 2022-11-23T01:37:54.2135124Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.2135443Z for(long i1=16; i1<17; i1+=1) 2022-11-23T01:37:54.2135726Z { 2022-11-23T01:37:54.2136011Z auto tmp0 = out_ptr1[i1 + (17*i0)]; 2022-11-23T01:37:54.2136394Z auto tmp1 = out_ptr2[i0]; 2022-11-23T01:37:54.2136720Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:54.2137030Z in_out_ptr0[i1 + (17*i0)] = tmp2; 2022-11-23T01:37:54.2137330Z } 2022-11-23T01:37:54.2137578Z } 2022-11-23T01:37:54.2137801Z } 2022-11-23T01:37:54.2138045Z } 2022-11-23T01:37:54.2138316Z ''') 2022-11-23T01:37:54.2138460Z 2022-11-23T01:37:54.2138471Z 2022-11-23T01:37:54.2138591Z async_compile.wait(globals()) 2022-11-23T01:37:54.2139791Z del async_compile 2022-11-23T01:37:54.2139962Z 2022-11-23T01:37:54.2140075Z def call(args): 2022-11-23T01:37:54.2140335Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.2140624Z args.clear() 2022-11-23T01:37:54.2141106Z buf0 = empty_strided((2, 1), (1, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.2141653Z buf1 = empty_strided((2, 17), (17, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.2142181Z buf2 = empty_strided((2, 1), (1, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.2142563Z buf3 = buf1; del buf1 # reuse 2022-11-23T01:37:54.2143066Z kernel_cpp_0(c_void_p(buf3.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:37:54.2143493Z del arg0_1 2022-11-23T01:37:54.2143751Z del arg1_1 2022-11-23T01:37:54.2144015Z return (buf3, ) 2022-11-23T01:37:54.2144188Z 2022-11-23T01:37:54.2144195Z 2022-11-23T01:37:54.2144317Z if __name__ == "__main__": 2022-11-23T01:37:54.2144660Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.2145067Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.2145612Z arg0_1 = rand_strided((2, 17), (17, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.2146140Z arg1_1 = rand_strided((2, 17), (17, 1), device='cpu', dtype=torch.uint8) 2022-11-23T01:37:54.2146573Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.2146791Z 2022-11-23T01:37:54.2146912Z ok (1.517s) 2022-11-23T01:37:54.2147563Z test_no_op_squeeze (__main__.CPUReproTests) ... [2022-11-23 01:29:17,021] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing forward 2022-11-23T01:37:54.2148385Z [2022-11-23 01:29:17,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4726 2022-11-23T01:37:54.2149025Z [2022-11-23 01:29:17,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.2149885Z [2022-11-23 01:29:17,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:37:54.2150714Z [2022-11-23 01:29:17,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:37:54.2203845Z [2022-11-23 01:29:17,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TorchVariable()] 2022-11-23T01:37:54.2207183Z [2022-11-23 01:29:17,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dim [TorchVariable(aten.squeeze)] 2022-11-23T01:37:54.2208683Z [2022-11-23 01:29:17,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg0_1 [TorchVariable(aten.squeeze.dim)] 2022-11-23T01:37:54.2209626Z [2022-11-23 01:29:17,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.squeeze.dim), TensorVariable()] 2022-11-23T01:37:54.2210474Z [2022-11-23 01:29:17,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.squeeze.dim), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.2211236Z [2022-11-23 01:29:17,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.2211882Z [2022-11-23 01:29:17,031] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing forward 2022-11-23T01:37:54.2212536Z [2022-11-23 01:29:17,032] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:37:54.2213247Z [2022-11-23 01:29:17,035] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:37:54.2213813Z [2022-11-23 01:29:17,035] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.2214252Z __compiled_fn_2 .24 opcode, name, target, args, kwargs 2022-11-23T01:37:54.2214626Z placeholder, arg0_1, arg0_1, (), {} 2022-11-23T01:37:54.2215014Z call_function, squeeze_dim, aten.squeeze.dim, (arg0_1, 1), {} 2022-11-23T01:37:54.2215412Z output, output, output, ((squeeze_dim,),), {} 2022-11-23T01:37:54.2215639Z 2022-11-23T01:37:54.2216091Z [2022-11-23 01:29:17,035] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE forward inductor/test_torchinductor.py line 4724 2022-11-23T01:37:54.2216550Z 4726 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.2347630Z 2 LOAD_ATTR 1 (ops) 2022-11-23T01:37:54.2347978Z 4 LOAD_ATTR 2 (aten) 2022-11-23T01:37:54.2348387Z 6 LOAD_ATTR 3 (squeeze) 2022-11-23T01:37:54.2348718Z 8 LOAD_METHOD 4 (dim) 2022-11-23T01:37:54.2349026Z 10 LOAD_FAST 0 (arg0_1) 2022-11-23T01:37:54.2349356Z 12 LOAD_CONST 1 (1) 2022-11-23T01:37:54.2349683Z 14 CALL_METHOD 2 2022-11-23T01:37:54.2349964Z 16 RETURN_VALUE 2022-11-23T01:37:54.2350141Z 2022-11-23T01:37:54.2350243Z 2022-11-23T01:37:54.2350912Z [2022-11-23 01:29:17,036] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE forward inductor/test_torchinductor.py line 4724 2022-11-23T01:37:54.2351380Z 4724 0 LOAD_GLOBAL 5 (__compiled_fn_2) 2022-11-23T01:37:54.2351719Z 2 LOAD_FAST 0 (arg0_1) 2022-11-23T01:37:54.2352045Z 4 CALL_FUNCTION 1 2022-11-23T01:37:54.2352364Z 6 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.2352657Z 8 RETURN_VALUE 2022-11-23T01:37:54.2352830Z 2022-11-23T01:37:54.2352933Z 2022-11-23T01:37:54.2353340Z [2022-11-23 01:29:17,036] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.2353657Z - 2022-11-23T01:37:54.2353989Z local 'arg0_1' TENSOR_MATCH 2022-11-23T01:37:54.2354266Z { 2022-11-23T01:37:54.2354622Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.2354997Z 'code': None, 2022-11-23T01:37:54.2355511Z 'obj_weakref': 2022-11-23T01:37:54.2356162Z 'guarded_class': 2022-11-23T01:37:54.2465812Z } 2022-11-23T01:37:54.2466130Z 2022-11-23T01:37:54.2466505Z - 2022-11-23T01:37:54.2466923Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.2467268Z { 2022-11-23T01:37:54.2467677Z 'guard_types': None, 2022-11-23T01:37:54.2468086Z 'code': None, 2022-11-23T01:37:54.2468555Z 'obj_weakref': None 2022-11-23T01:37:54.2468944Z 'guarded_class': None 2022-11-23T01:37:54.2469263Z } 2022-11-23T01:37:54.2469563Z 2022-11-23T01:37:54.2470224Z [2022-11-23 01:29:17,041] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 2 2022-11-23T01:37:54.2470879Z [2022-11-23 01:29:17,043] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ne/cnelpdaegliu6grtlzcahofdy5sb7fqkjnnenj7zpj6rfe5f4em5.py 2022-11-23T01:37:54.2471433Z [2022-11-23 01:29:17,043] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 2 2022-11-23T01:37:54.2471717Z 2022-11-23T01:37:54.2471813Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.2472055Z import torch 2022-11-23T01:37:54.2472298Z import random 2022-11-23T01:37:54.2472647Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.2473179Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.2473434Z 2022-11-23T01:37:54.2473565Z aten = torch.ops.aten 2022-11-23T01:37:54.2473963Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.2474346Z async_compile = AsyncCompile() 2022-11-23T01:37:54.2474570Z 2022-11-23T01:37:54.2474577Z 2022-11-23T01:37:54.2474734Z async_compile.wait(globals()) 2022-11-23T01:37:54.2475078Z del async_compile 2022-11-23T01:37:54.2475272Z 2022-11-23T01:37:54.2475403Z def call(args): 2022-11-23T01:37:54.2475710Z arg0_1, = args 2022-11-23T01:37:54.2475999Z args.clear() 2022-11-23T01:37:54.2476319Z return (arg0_1, ) 2022-11-23T01:37:54.2476519Z 2022-11-23T01:37:54.2476527Z 2022-11-23T01:37:54.2476666Z if __name__ == "__main__": 2022-11-23T01:37:54.2477048Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.2477524Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.2478131Z arg0_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.2478530Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.2478747Z 2022-11-23T01:37:54.2478854Z ok (0.026s) 2022-11-23T01:37:54.2479624Z test_parallel_num_threads (__main__.CPUReproTests) ... [2022-11-23 01:29:17,046] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:37:54.2480449Z [2022-11-23 01:29:17,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4734 2022-11-23T01:37:54.2481191Z [2022-11-23 01:29:17,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x1 [] 2022-11-23T01:37:54.2492288Z [2022-11-23 01:29:17,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x2 [TensorVariable()] 2022-11-23T01:37:54.2493130Z [2022-11-23 01:29:17,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.2493926Z [2022-11-23 01:29:17,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.2494662Z [2022-11-23 01:29:17,048] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:37:54.2495401Z [2022-11-23 01:29:17,048] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:37:54.2496137Z [2022-11-23 01:29:17,051] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:37:54.2496770Z [2022-11-23 01:29:17,051] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.2497267Z __compiled_fn_3 .30 opcode, name, target, args, kwargs 2022-11-23T01:37:54.2497687Z placeholder, x1, x1, (), {} 2022-11-23T01:37:54.2498034Z placeholder, x2, x2, (), {} 2022-11-23T01:37:54.2509203Z call_function, add, , (x1, x2), {} 2022-11-23T01:37:54.2509638Z output, output, output, ((add,),), {} 2022-11-23T01:37:54.2509864Z 2022-11-23T01:37:54.2510360Z [2022-11-23 01:29:17,051] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 4732 2022-11-23T01:37:54.2510857Z 4734 0 LOAD_FAST 0 (x1) 2022-11-23T01:37:54.2511211Z 2 LOAD_FAST 1 (x2) 2022-11-23T01:37:54.2511535Z 4 BINARY_ADD 2022-11-23T01:37:54.2511849Z 6 RETURN_VALUE 2022-11-23T01:37:54.2512179Z 2022-11-23T01:37:54.2512296Z 2022-11-23T01:37:54.2512955Z [2022-11-23 01:29:17,051] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 4732 2022-11-23T01:37:54.2513486Z 4732 0 LOAD_GLOBAL 0 (__compiled_fn_3) 2022-11-23T01:37:54.2513861Z 2 LOAD_FAST 0 (x1) 2022-11-23T01:37:54.2514210Z 4 LOAD_FAST 1 (x2) 2022-11-23T01:37:54.2514565Z 6 CALL_FUNCTION 2 2022-11-23T01:37:54.2514929Z 8 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.2515254Z 10 RETURN_VALUE 2022-11-23T01:37:54.2515523Z 2022-11-23T01:37:54.2515627Z 2022-11-23T01:37:54.2519846Z [2022-11-23 01:29:17,052] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.2520224Z - 2022-11-23T01:37:54.2520599Z local 'x1' TENSOR_MATCH 2022-11-23T01:37:54.2520881Z { 2022-11-23T01:37:54.2521293Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.2521706Z 'code': None, 2022-11-23T01:37:54.2522233Z 'obj_weakref': 2022-11-23T01:37:54.2522946Z 'guarded_class': 2022-11-23T01:37:54.2523364Z } 2022-11-23T01:37:54.2523644Z 2022-11-23T01:37:54.2523925Z - 2022-11-23T01:37:54.2524313Z local 'x2' TENSOR_MATCH 2022-11-23T01:37:54.2524610Z { 2022-11-23T01:37:54.2525015Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.2525434Z 'code': None, 2022-11-23T01:37:54.2525991Z 'obj_weakref': 2022-11-23T01:37:54.2526660Z 'guarded_class': 2022-11-23T01:37:54.2527085Z } 2022-11-23T01:37:54.2527362Z 2022-11-23T01:37:54.2527951Z [2022-11-23 01:29:17,056] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 3 2022-11-23T01:37:54.2528931Z [2022-11-23 01:29:18,447] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xy/cxybpivj5277dgxkvpdebtu6ue4yc6ss3qeo6zxlmcjuqwy4vyp2.py 2022-11-23T01:37:54.2529858Z [2022-11-23 01:29:18,448] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 3 2022-11-23T01:37:54.2530665Z [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T01:37:54.2531592Z [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T01:37:54.2532068Z 2022-11-23T01:37:54.2532240Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.2532593Z import torch 2022-11-23T01:37:54.2532887Z import random 2022-11-23T01:37:54.2533250Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.2533709Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.2533973Z 2022-11-23T01:37:54.2534115Z aten = torch.ops.aten 2022-11-23T01:37:54.2534526Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.2534958Z async_compile = AsyncCompile() 2022-11-23T01:37:54.2535187Z 2022-11-23T01:37:54.2535195Z 2022-11-23T01:37:54.2535442Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.2535981Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.2536524Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.2536934Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.2537331Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.2537646Z { 2022-11-23T01:37:54.2538020Z for(long i0=0; i0<25; i0+=1) 2022-11-23T01:37:54.2538324Z { 2022-11-23T01:37:54.2538706Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:54.2688752Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:54.2689156Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.2689526Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.2689816Z } 2022-11-23T01:37:54.2690132Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.2690473Z for(long i0=200; i0<200; i0+=1) 2022-11-23T01:37:54.3023005Z { 2022-11-23T01:37:54.3023570Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.3023848Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:54.3024076Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.3024325Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:54.3024598Z } 2022-11-23T01:37:54.3024764Z } 2022-11-23T01:37:54.3025087Z ''') 2022-11-23T01:37:54.3025212Z 2022-11-23T01:37:54.3025216Z 2022-11-23T01:37:54.3025374Z async_compile.wait(globals()) 2022-11-23T01:37:54.3025587Z del async_compile 2022-11-23T01:37:54.3025749Z 2022-11-23T01:37:54.3025851Z def call(args): 2022-11-23T01:37:54.3026095Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.3026292Z args.clear() 2022-11-23T01:37:54.3026674Z buf0 = empty_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3027078Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.3027345Z del arg0_1 2022-11-23T01:37:54.3027577Z del arg1_1 2022-11-23T01:37:54.3027838Z return (buf0, ) 2022-11-23T01:37:54.3027975Z 2022-11-23T01:37:54.3027980Z 2022-11-23T01:37:54.3028086Z if __name__ == "__main__": 2022-11-23T01:37:54.3028443Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.3028782Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.3029205Z arg0_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3029580Z arg1_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3029907Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.3030111Z 2022-11-23T01:37:54.3030213Z ok (1.406s) 2022-11-23T01:37:54.3030674Z test_sign_cpu_only (__main__.CPUReproTests) ... [2022-11-23 01:29:18,457] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None 2022-11-23T01:37:54.3031338Z [2022-11-23 01:29:19,863] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/b4/cb4mnucw4l6r2n56pxgad5c7mnfesw22yylougd4bpg7qmzehkih.py 2022-11-23T01:37:54.3031963Z [2022-11-23 01:29:19,863] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None 2022-11-23T01:37:54.3032200Z 2022-11-23T01:37:54.3032350Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.3032564Z import torch 2022-11-23T01:37:54.3032796Z import random 2022-11-23T01:37:54.3033074Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.3033360Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.3033542Z 2022-11-23T01:37:54.3033668Z aten = torch.ops.aten 2022-11-23T01:37:54.3033969Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.3034301Z async_compile = AsyncCompile() 2022-11-23T01:37:54.3034417Z 2022-11-23T01:37:54.3034471Z 2022-11-23T01:37:54.3034599Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.3034990Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.3035418Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.3035677Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.3035930Z { 2022-11-23T01:37:54.3036156Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:54.3036343Z { 2022-11-23T01:37:54.3036663Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:54.3037169Z auto tmp1 = decltype(tmp0)::blendv(decltype(tmp0)(0), decltype(tmp0)(1), decltype(tmp0)(0) < tmp0); 2022-11-23T01:37:54.3037590Z auto tmp2 = decltype(tmp0)::blendv(decltype(tmp0)(0), decltype(tmp0)(1), tmp0 < decltype(tmp0)(0)); 2022-11-23T01:37:54.3037913Z auto tmp3 = tmp1 - tmp2; 2022-11-23T01:37:54.3038203Z tmp3.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.3038452Z } 2022-11-23T01:37:54.3038647Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.3038908Z for(long i0=16; i0<18; i0+=1) 2022-11-23T01:37:54.3039140Z { 2022-11-23T01:37:54.3039348Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.3039692Z auto tmp1 = tmp0 > 0 ? 1 : 0; 2022-11-23T01:37:54.3039947Z auto tmp2 = tmp0 < 0 ? 1 : 0; 2022-11-23T01:37:54.3040201Z auto tmp3 = tmp1 - tmp2; 2022-11-23T01:37:54.3040464Z out_ptr0[i0] = tmp3; 2022-11-23T01:37:54.3040719Z } 2022-11-23T01:37:54.3040881Z } 2022-11-23T01:37:54.3041102Z ''') 2022-11-23T01:37:54.3041223Z 2022-11-23T01:37:54.3041230Z 2022-11-23T01:37:54.3041355Z async_compile.wait(globals()) 2022-11-23T01:37:54.3041627Z del async_compile 2022-11-23T01:37:54.3041724Z 2022-11-23T01:37:54.3041823Z def call(args): 2022-11-23T01:37:54.3042077Z x_1, = args 2022-11-23T01:37:54.3042308Z args.clear() 2022-11-23T01:37:54.3042625Z buf0 = empty_strided((2, 9), (9, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3043012Z kernel_cpp_0(c_void_p(x_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.3043290Z del x_1 2022-11-23T01:37:54.3043474Z return (buf0, ) 2022-11-23T01:37:54.3043622Z 2022-11-23T01:37:54.3043627Z 2022-11-23T01:37:54.3043731Z if __name__ == "__main__": 2022-11-23T01:37:54.3044010Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.3044310Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.3044740Z x_1 = rand_strided((2, 9), (9, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3045067Z print_performance(lambda: call([x_1])) 2022-11-23T01:37:54.3045236Z 2022-11-23T01:37:54.3045334Z ok (1.414s) 2022-11-23T01:37:54.3045572Z test_timed_cpu_only (__main__.CPUReproTests) ... ok (0.002s) 2022-11-23T01:37:54.3046136Z test_vec_dynamic_shapes (__main__.CPUReproTests) ... [2022-11-23 01:29:19,882] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:37:54.3046709Z [2022-11-23 01:29:19,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4783 2022-11-23T01:37:54.3047151Z [2022-11-23 01:29:19,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.3047768Z [2022-11-23 01:29:19,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TorchVariable()] 2022-11-23T01:37:54.3048436Z [2022-11-23 01:29:19,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:37:54.3049117Z [2022-11-23 01:29:19,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.3049812Z [2022-11-23 01:29:19,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.3050347Z [2022-11-23 01:29:19,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.3050836Z [2022-11-23 01:29:19,924] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:37:54.3051354Z [2022-11-23 01:29:19,925] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:37:54.3051835Z [2022-11-23 01:29:19,929] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:37:54.3052262Z [2022-11-23 01:29:19,929] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.3052608Z __compiled_fn_4 .37 opcode, name, target, args, kwargs 2022-11-23T01:37:54.3052964Z placeholder, x, x, (), {} 2022-11-23T01:37:54.3053334Z call_function, softmax, , (x, -1), {} 2022-11-23T01:37:54.3053674Z output, output, output, ((softmax,),), {} 2022-11-23T01:37:54.3053837Z 2022-11-23T01:37:54.3054152Z [2022-11-23 01:29:19,930] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 4782 2022-11-23T01:37:54.3054557Z 4783 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.3054814Z 2 LOAD_METHOD 1 (softmax) 2022-11-23T01:37:54.3055086Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:54.3055415Z 6 LOAD_CONST 1 (-1) 2022-11-23T01:37:54.3055640Z 8 CALL_METHOD 2 2022-11-23T01:37:54.3055923Z 10 RETURN_VALUE 2022-11-23T01:37:54.3056091Z 2022-11-23T01:37:54.3056183Z 2022-11-23T01:37:54.3056565Z [2022-11-23 01:29:19,930] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 4782 2022-11-23T01:37:54.3056942Z 4782 0 LOAD_GLOBAL 2 (__compiled_fn_4) 2022-11-23T01:37:54.3057221Z 2 LOAD_FAST 0 (x) 2022-11-23T01:37:54.3057506Z 4 CALL_FUNCTION 1 2022-11-23T01:37:54.3057735Z 6 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.3057997Z 8 RETURN_VALUE 2022-11-23T01:37:54.3058142Z 2022-11-23T01:37:54.3058230Z 2022-11-23T01:37:54.3058551Z [2022-11-23 01:29:19,931] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.3059024Z - 2022-11-23T01:37:54.3059533Z 'symbolic_shape_expression' SYMBOL_MATCH 2022-11-23T01:37:54.3059856Z { 2022-11-23T01:37:54.3060141Z 'guard_types': None, 2022-11-23T01:37:54.3060514Z 'code': (Eq(x.stride()[0], 10) and x.stride()[0] == x.size()[1]), 2022-11-23T01:37:54.3060847Z 'obj_weakref': None 2022-11-23T01:37:54.3061143Z 'guarded_class': None 2022-11-23T01:37:54.3061379Z } 2022-11-23T01:37:54.3061553Z 2022-11-23T01:37:54.3061814Z - 2022-11-23T01:37:54.3062104Z local 'x' TENSOR_MATCH 2022-11-23T01:37:54.3062301Z { 2022-11-23T01:37:54.3062596Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.3062898Z 'code': None, 2022-11-23T01:37:54.3063245Z 'obj_weakref': 2022-11-23T01:37:54.3063748Z 'guarded_class': 2022-11-23T01:37:54.3064051Z } 2022-11-23T01:37:54.3064308Z 2022-11-23T01:37:54.3064490Z - 2022-11-23T01:37:54.3064796Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.3065042Z { 2022-11-23T01:37:54.3065276Z 'guard_types': None, 2022-11-23T01:37:54.3065572Z 'code': None, 2022-11-23T01:37:54.3065857Z 'obj_weakref': None 2022-11-23T01:37:54.3066130Z 'guarded_class': None 2022-11-23T01:37:54.3066369Z } 2022-11-23T01:37:54.3066588Z 2022-11-23T01:37:54.3066989Z [2022-11-23 01:29:19,969] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 4 2022-11-23T01:37:54.3067600Z [2022-11-23 01:29:21,527] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vj/cvj25sgc27plx3xc66xfx77molshb7ez6ivov6wbsvl2ctt2lcra.py 2022-11-23T01:37:54.3068300Z [2022-11-23 01:29:21,527] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 4 2022-11-23T01:37:54.3068537Z 2022-11-23T01:37:54.3068661Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.3068873Z import torch 2022-11-23T01:37:54.3069191Z import random 2022-11-23T01:37:54.3069493Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.3069781Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.3069962Z 2022-11-23T01:37:54.3070069Z aten = torch.ops.aten 2022-11-23T01:37:54.3070406Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.3070674Z async_compile = AsyncCompile() 2022-11-23T01:37:54.3070834Z 2022-11-23T01:37:54.3070838Z 2022-11-23T01:37:54.3071041Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.3071433Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.3071890Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:37:54.3072155Z const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.3072450Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.3072754Z float* __restrict__ out_ptr2, 2022-11-23T01:37:54.3072980Z const long ks0, 2022-11-23T01:37:54.3073256Z const long ks1) 2022-11-23T01:37:54.3073492Z { 2022-11-23T01:37:54.3073676Z auto out_ptr1 = in_out_ptr0; 2022-11-23T01:37:54.3073946Z #pragma GCC ivdep 2022-11-23T01:37:54.3074195Z for(long i0=0; i0::infinity(); 2022-11-23T01:37:54.3075550Z for(long i1=0; i10); 2022-11-23T01:37:54.3255078Z auto tmp8 = std::cos(tmp7); 2022-11-23T01:37:54.3255282Z auto tmp9 = std::exp(tmp8); 2022-11-23T01:37:54.3255488Z auto tmp10 = std::sqrt(tmp9); 2022-11-23T01:37:54.3255685Z auto tmp11 = tmp10 + tmp0; 2022-11-23T01:37:54.3256013Z auto tmp13 = tmp11 - tmp12; 2022-11-23T01:37:54.3256208Z auto tmp14 = tmp13 * tmp0; 2022-11-23T01:37:54.3256394Z auto tmp15 = tmp14 / tmp0; 2022-11-23T01:37:54.3256583Z auto tmp16 = tmp15 * tmp15; 2022-11-23T01:37:54.3256767Z auto tmp17 = tmp16 * tmp16; 2022-11-23T01:37:54.3256968Z auto tmp18 = tmp17 * tmp15; 2022-11-23T01:37:54.3257156Z auto tmp19 = tmp18 * tmp18; 2022-11-23T01:37:54.3257345Z auto tmp20 = std::log(tmp19); 2022-11-23T01:37:54.3257550Z auto tmp21 = std::floor(tmp20); 2022-11-23T01:37:54.3257754Z auto tmp22 = std::ceil(tmp21); 2022-11-23T01:37:54.3257955Z auto tmp23 = std::trunc(tmp22); 2022-11-23T01:37:54.3258164Z auto tmp24 = std::lgamma(tmp23); 2022-11-23T01:37:54.3258376Z auto tmp25 = std::fmod(tmp24, tmp12); 2022-11-23T01:37:54.3258579Z auto tmp26 = tmp25 > 0 ? 1 : 0; 2022-11-23T01:37:54.3258915Z auto tmp27 = tmp25 < 0 ? 1 : 0; 2022-11-23T01:37:54.3259249Z auto tmp28 = tmp26 - tmp27; 2022-11-23T01:37:54.3259441Z auto tmp29 = tmp28 + tmp12; 2022-11-23T01:37:54.3259621Z in_out_ptr0[i0] = tmp29; 2022-11-23T01:37:54.3259790Z } 2022-11-23T01:37:54.3259932Z } 2022-11-23T01:37:54.3260064Z } 2022-11-23T01:37:54.3260193Z } 2022-11-23T01:37:54.3260339Z ''') 2022-11-23T01:37:54.3260419Z 2022-11-23T01:37:54.3260424Z 2022-11-23T01:37:54.3260505Z async_compile.wait(globals()) 2022-11-23T01:37:54.3260681Z del async_compile 2022-11-23T01:37:54.3260781Z 2022-11-23T01:37:54.3260842Z def call(args): 2022-11-23T01:37:54.3260993Z x1_1, x2_1 = args 2022-11-23T01:37:54.3261152Z args.clear() 2022-11-23T01:37:54.3261445Z buf0 = empty_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3261670Z buf1 = buf0; del buf0 # reuse 2022-11-23T01:37:54.3261925Z kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(x1_1.data_ptr()), c_void_p(x2_1.data_ptr())) 2022-11-23T01:37:54.3262151Z del x1_1 2022-11-23T01:37:54.3262291Z del x2_1 2022-11-23T01:37:54.3262436Z return (buf1, ) 2022-11-23T01:37:54.3262537Z 2022-11-23T01:37:54.3262541Z 2022-11-23T01:37:54.3262611Z if __name__ == "__main__": 2022-11-23T01:37:54.3262820Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.3263062Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.3263394Z x1_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3263726Z x2_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3264164Z print_performance(lambda: call([x1_1, x2_1])) 2022-11-23T01:37:54.3264301Z 2022-11-23T01:37:54.3264306Z 2022-11-23T01:37:54.3264392Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.3264570Z import torch 2022-11-23T01:37:54.3264723Z import random 2022-11-23T01:37:54.3264915Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.3265158Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.3265303Z 2022-11-23T01:37:54.3265373Z aten = torch.ops.aten 2022-11-23T01:37:54.3265595Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.3265890Z async_compile = AsyncCompile() 2022-11-23T01:37:54.3266009Z 2022-11-23T01:37:54.3266013Z 2022-11-23T01:37:54.3266148Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.3266462Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.3266783Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:37:54.3267014Z const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.3267230Z const float* __restrict__ in_ptr1) 2022-11-23T01:37:54.3267397Z { 2022-11-23T01:37:54.3267545Z for(long i0=0; i0<25; i0+=1) 2022-11-23T01:37:54.3267702Z { 2022-11-23T01:37:54.3267905Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:54.3268263Z auto tmp11 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:54.3268482Z auto tmp1 = tmp0.abs(); 2022-11-23T01:37:54.3268655Z auto tmp2 = tmp1.sin(); 2022-11-23T01:37:54.3268831Z auto tmp3 = tmp2.neg(); 2022-11-23T01:37:54.3269009Z auto tmp4 = tmp3 * tmp3; 2022-11-23T01:37:54.3269235Z auto tmp5 = decltype(tmp4)(1)/(decltype(tmp4)(1) + tmp4.neg().exp()); 2022-11-23T01:37:54.3269500Z auto tmp6 = at::vec::clamp_min(tmp5, decltype(tmp5)(0)); 2022-11-23T01:37:54.3269711Z auto tmp7 = tmp6.cos(); 2022-11-23T01:37:54.3269892Z auto tmp8 = tmp7.exp(); 2022-11-23T01:37:54.3270066Z auto tmp9 = tmp8.sqrt(); 2022-11-23T01:37:54.3270243Z auto tmp10 = tmp9 + tmp0; 2022-11-23T01:37:54.3270472Z auto tmp12 = tmp10 - tmp11; 2022-11-23T01:37:54.3270650Z auto tmp13 = tmp12 * tmp0; 2022-11-23T01:37:54.3270829Z auto tmp14 = tmp13 / tmp0; 2022-11-23T01:37:54.3271007Z auto tmp15 = tmp14 * tmp14; 2022-11-23T01:37:54.3271182Z auto tmp16 = tmp15 * tmp15; 2022-11-23T01:37:54.3271360Z auto tmp17 = tmp16 * tmp14; 2022-11-23T01:37:54.3271535Z auto tmp18 = tmp17 * tmp17; 2022-11-23T01:37:54.3271711Z auto tmp19 = tmp18.log(); 2022-11-23T01:37:54.3271894Z auto tmp20 = tmp19.floor(); 2022-11-23T01:37:54.3272071Z auto tmp21 = tmp20.ceil(); 2022-11-23T01:37:54.3272245Z auto tmp22 = tmp21.trunc(); 2022-11-23T01:37:54.3272427Z auto tmp23 = tmp22.lgamma(); 2022-11-23T01:37:54.3272618Z auto tmp24 = tmp23.fmod(tmp11); 2022-11-23T01:37:54.3272891Z auto tmp25 = decltype(tmp24)::blendv(decltype(tmp24)(0), decltype(tmp24)(1), decltype(tmp24)(0) < tmp24); 2022-11-23T01:37:54.3273234Z auto tmp26 = decltype(tmp24)::blendv(decltype(tmp24)(0), decltype(tmp24)(1), tmp24 < decltype(tmp24)(0)); 2022-11-23T01:37:54.3273531Z auto tmp27 = tmp25 - tmp26; 2022-11-23T01:37:54.3273714Z auto tmp28 = tmp27 + tmp11; 2022-11-23T01:37:54.3273900Z tmp28.store(in_out_ptr0 + 8*i0); 2022-11-23T01:37:54.3274069Z } 2022-11-23T01:37:54.3274229Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.3274407Z for(long i0=200; i0<200; i0+=1) 2022-11-23T01:37:54.3274563Z { 2022-11-23T01:37:54.3274716Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.3274891Z auto tmp12 = in_ptr1[i0]; 2022-11-23T01:37:54.3275074Z auto tmp1 = std::abs(tmp0); 2022-11-23T01:37:54.3275259Z auto tmp2 = std::sin(tmp1); 2022-11-23T01:37:54.3275466Z auto tmp3 = -tmp2; 2022-11-23T01:37:54.3275691Z auto tmp4 = tmp3 * tmp3; 2022-11-23T01:37:54.3275923Z auto tmp5 = std::exp(-tmp4); 2022-11-23T01:37:54.3276102Z auto tmp6 = 1 / (1 + tmp5); 2022-11-23T01:37:54.3276283Z auto tmp7 = tmp6 * (tmp6>0); 2022-11-23T01:37:54.3276470Z auto tmp8 = std::cos(tmp7); 2022-11-23T01:37:54.3276654Z auto tmp9 = std::exp(tmp8); 2022-11-23T01:37:54.3276845Z auto tmp10 = std::sqrt(tmp9); 2022-11-23T01:37:54.3277032Z auto tmp11 = tmp10 + tmp0; 2022-11-23T01:37:54.3277253Z auto tmp13 = tmp11 - tmp12; 2022-11-23T01:37:54.3277428Z auto tmp14 = tmp13 * tmp0; 2022-11-23T01:37:54.3277673Z auto tmp15 = tmp14 / tmp0; 2022-11-23T01:37:54.3277850Z auto tmp16 = tmp15 * tmp15; 2022-11-23T01:37:54.3278024Z auto tmp17 = tmp16 * tmp16; 2022-11-23T01:37:54.3278202Z auto tmp18 = tmp17 * tmp15; 2022-11-23T01:37:54.3278378Z auto tmp19 = tmp18 * tmp18; 2022-11-23T01:37:54.3278558Z auto tmp20 = std::log(tmp19); 2022-11-23T01:37:54.3278754Z auto tmp21 = std::floor(tmp20); 2022-11-23T01:37:54.3278950Z auto tmp22 = std::ceil(tmp21); 2022-11-23T01:37:54.3279139Z auto tmp23 = std::trunc(tmp22); 2022-11-23T01:37:54.3279338Z auto tmp24 = std::lgamma(tmp23); 2022-11-23T01:37:54.3279543Z auto tmp25 = std::fmod(tmp24, tmp12); 2022-11-23T01:37:54.3279731Z auto tmp26 = tmp25 > 0 ? 1 : 0; 2022-11-23T01:37:54.3279910Z auto tmp27 = tmp25 < 0 ? 1 : 0; 2022-11-23T01:37:54.3280133Z auto tmp28 = tmp26 - tmp27; 2022-11-23T01:37:54.3280313Z auto tmp29 = tmp28 + tmp12; 2022-11-23T01:37:54.3280490Z in_out_ptr0[i0] = tmp29; 2022-11-23T01:37:54.3280650Z } 2022-11-23T01:37:54.3280781Z } 2022-11-23T01:37:54.3280924Z ''') 2022-11-23T01:37:54.3281008Z 2022-11-23T01:37:54.3281012Z 2022-11-23T01:37:54.3281093Z async_compile.wait(globals()) 2022-11-23T01:37:54.3281269Z del async_compile 2022-11-23T01:37:54.3281363Z 2022-11-23T01:37:54.3281425Z def call(args): 2022-11-23T01:37:54.3281584Z x1_1, x2_1 = args 2022-11-23T01:37:54.3281740Z args.clear() 2022-11-23T01:37:54.3282025Z buf0 = empty_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3282252Z buf1 = buf0; del buf0 # reuse 2022-11-23T01:37:54.3282506Z kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(x1_1.data_ptr()), c_void_p(x2_1.data_ptr())) 2022-11-23T01:37:54.3282724Z del x1_1 2022-11-23T01:37:54.3282867Z del x2_1 2022-11-23T01:37:54.3283018Z return (buf1, ) 2022-11-23T01:37:54.3283116Z 2022-11-23T01:37:54.3283120Z 2022-11-23T01:37:54.3283187Z if __name__ == "__main__": 2022-11-23T01:37:54.3283389Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.3283635Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.3283963Z x1_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3284288Z x2_1 = rand_strided((10, 20), (20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3284534Z print_performance(lambda: call([x1_1, x2_1])) 2022-11-23T01:37:54.3284665Z 2022-11-23T01:37:54.3284669Z 2022-11-23T01:37:54.3284754Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.3284926Z import torch 2022-11-23T01:37:54.3285084Z import random 2022-11-23T01:37:54.3285284Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.3285526Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.3285666Z 2022-11-23T01:37:54.3285736Z aten = torch.ops.aten 2022-11-23T01:37:54.3285963Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.3286201Z async_compile = AsyncCompile() 2022-11-23T01:37:54.3286313Z 2022-11-23T01:37:54.3286323Z 2022-11-23T01:37:54.3286448Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.3286762Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.3287081Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:37:54.3287346Z const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.3287566Z const float* __restrict__ in_ptr1) 2022-11-23T01:37:54.3287732Z { 2022-11-23T01:37:54.3287884Z auto out_ptr0 = in_out_ptr0; 2022-11-23T01:37:54.3288054Z #pragma GCC ivdep 2022-11-23T01:37:54.3288227Z for(long i0=0; i0<20; i0+=1) 2022-11-23T01:37:54.3288379Z { 2022-11-23T01:37:54.3288521Z #pragma GCC ivdep 2022-11-23T01:37:54.3288693Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:37:54.3288852Z { 2022-11-23T01:37:54.3288985Z { 2022-11-23T01:37:54.3289128Z { 2022-11-23T01:37:54.3289342Z auto tmp0 = in_ptr0[i0 + (20*i1)]; 2022-11-23T01:37:54.3289547Z auto tmp12 = in_ptr1[i1 + (10*i0)]; 2022-11-23T01:37:54.3289755Z auto tmp1 = std::abs(tmp0); 2022-11-23T01:37:54.3289957Z auto tmp2 = std::sin(tmp1); 2022-11-23T01:37:54.3290184Z auto tmp3 = -tmp2; 2022-11-23T01:37:54.3290375Z auto tmp4 = tmp3 * tmp3; 2022-11-23T01:37:54.3290628Z auto tmp5 = std::exp(-tmp4); 2022-11-23T01:37:54.3290821Z auto tmp6 = 1 / (1 + tmp5); 2022-11-23T01:37:54.3291014Z auto tmp7 = tmp6 * (tmp6>0); 2022-11-23T01:37:54.3291216Z auto tmp8 = std::cos(tmp7); 2022-11-23T01:37:54.3291413Z auto tmp9 = std::exp(tmp8); 2022-11-23T01:37:54.3291611Z auto tmp10 = std::sqrt(tmp9); 2022-11-23T01:37:54.3291809Z auto tmp11 = tmp10 + tmp0; 2022-11-23T01:37:54.3292055Z auto tmp13 = tmp11 - tmp12; 2022-11-23T01:37:54.3292245Z auto tmp14 = tmp13 * tmp0; 2022-11-23T01:37:54.3292438Z auto tmp15 = tmp14 / tmp0; 2022-11-23T01:37:54.3292631Z auto tmp16 = tmp15 * tmp15; 2022-11-23T01:37:54.3292819Z auto tmp17 = tmp16 * tmp16; 2022-11-23T01:37:54.3293010Z auto tmp18 = tmp17 * tmp15; 2022-11-23T01:37:54.3293204Z auto tmp19 = tmp18 * tmp18; 2022-11-23T01:37:54.3293392Z out_ptr0[i1 + (10*i0)] = tmp19; 2022-11-23T01:37:54.3293560Z } 2022-11-23T01:37:54.3293704Z } 2022-11-23T01:37:54.3293841Z } 2022-11-23T01:37:54.3293976Z } 2022-11-23T01:37:54.3294126Z for(long i0=0; i0<25; i0+=1) 2022-11-23T01:37:54.3294277Z { 2022-11-23T01:37:54.3294482Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr0 + 8*i0); 2022-11-23T01:37:54.3294751Z auto tmp6 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:54.3294969Z auto tmp1 = tmp0.log(); 2022-11-23T01:37:54.3295145Z auto tmp2 = tmp1.floor(); 2022-11-23T01:37:54.3295328Z auto tmp3 = tmp2.ceil(); 2022-11-23T01:37:54.3295510Z auto tmp4 = tmp3.trunc(); 2022-11-23T01:37:54.3295688Z auto tmp5 = tmp4.lgamma(); 2022-11-23T01:37:54.3295880Z auto tmp7 = tmp5.fmod(tmp6); 2022-11-23T01:37:54.3296152Z auto tmp8 = decltype(tmp7)::blendv(decltype(tmp7)(0), decltype(tmp7)(1), decltype(tmp7)(0) < tmp7); 2022-11-23T01:37:54.3296485Z auto tmp9 = decltype(tmp7)::blendv(decltype(tmp7)(0), decltype(tmp7)(1), tmp7 < decltype(tmp7)(0)); 2022-11-23T01:37:54.3296778Z auto tmp10 = tmp8 - tmp9; 2022-11-23T01:37:54.3296963Z auto tmp11 = tmp10 + tmp6; 2022-11-23T01:37:54.3297156Z tmp11.store(in_out_ptr0 + 8*i0); 2022-11-23T01:37:54.3297321Z } 2022-11-23T01:37:54.3297479Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.3297666Z for(long i0=200; i0<200; i0+=1) 2022-11-23T01:37:54.3297818Z { 2022-11-23T01:37:54.3297973Z auto tmp0 = out_ptr0[i0]; 2022-11-23T01:37:54.3298150Z auto tmp6 = in_ptr1[i0]; 2022-11-23T01:37:54.3298331Z auto tmp1 = std::log(tmp0); 2022-11-23T01:37:54.3298523Z auto tmp2 = std::floor(tmp1); 2022-11-23T01:37:54.3298714Z auto tmp3 = std::ceil(tmp2); 2022-11-23T01:37:54.3299223Z auto tmp4 = std::trunc(tmp3); 2022-11-23T01:37:54.3299438Z auto tmp5 = std::lgamma(tmp4); 2022-11-23T01:37:54.3299641Z auto tmp7 = std::fmod(tmp5, tmp6); 2022-11-23T01:37:54.3299827Z auto tmp8 = tmp7 > 0 ? 1 : 0; 2022-11-23T01:37:54.3300007Z auto tmp9 = tmp7 < 0 ? 1 : 0; 2022-11-23T01:37:54.3300239Z auto tmp10 = tmp8 - tmp9; 2022-11-23T01:37:54.3300416Z auto tmp11 = tmp10 + tmp6; 2022-11-23T01:37:54.3300594Z in_out_ptr0[i0] = tmp11; 2022-11-23T01:37:54.3300752Z } 2022-11-23T01:37:54.3300878Z } 2022-11-23T01:37:54.3301025Z ''') 2022-11-23T01:37:54.3301158Z 2022-11-23T01:37:54.3301163Z 2022-11-23T01:37:54.3301245Z async_compile.wait(globals()) 2022-11-23T01:37:54.3301421Z del async_compile 2022-11-23T01:37:54.3301515Z 2022-11-23T01:37:54.3301579Z def call(args): 2022-11-23T01:37:54.3301736Z x1_1, x2_1 = args 2022-11-23T01:37:54.3301897Z args.clear() 2022-11-23T01:37:54.3302186Z buf0 = empty_strided((20, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3302413Z buf1 = buf0; del buf0 # reuse 2022-11-23T01:37:54.3302670Z kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(x1_1.data_ptr()), c_void_p(x2_1.data_ptr())) 2022-11-23T01:37:54.3302888Z del x1_1 2022-11-23T01:37:54.3303033Z del x2_1 2022-11-23T01:37:54.3303183Z return (buf1, ) 2022-11-23T01:37:54.3303284Z 2022-11-23T01:37:54.3303288Z 2022-11-23T01:37:54.3303351Z if __name__ == "__main__": 2022-11-23T01:37:54.3303556Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.3303803Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.3304137Z x1_1 = rand_strided((20, 10), (1, 20), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3304465Z x2_1 = rand_strided((20, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3304710Z print_performance(lambda: call([x1_1, x2_1])) 2022-11-23T01:37:54.3305205Z [2022-11-23 01:29:25,177] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dz/cdzucobstfyr33k6z6o5iedsvjzvt7x5qosogmssjrysn5daqokz.py 2022-11-23T01:37:54.3305730Z [2022-11-23 01:29:25,177] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None 2022-11-23T01:37:54.3306171Z [2022-11-23 01:29:25,201] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None 2022-11-23T01:37:54.3306711Z [2022-11-23 01:29:26,646] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jj/cjjmquktqvxb2aanibq2qfuuoea35jidlr36bnkcbrloo7be3tjg.py 2022-11-23T01:37:54.3307226Z [2022-11-23 01:29:26,646] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None 2022-11-23T01:37:54.3307423Z 2022-11-23T01:37:54.3307428Z 2022-11-23T01:37:54.3307510Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.3307689Z import torch 2022-11-23T01:37:54.3307842Z import random 2022-11-23T01:37:54.3308034Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.3308400Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.3308546Z 2022-11-23T01:37:54.3308617Z aten = torch.ops.aten 2022-11-23T01:37:54.3308845Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.3309076Z async_compile = AsyncCompile() 2022-11-23T01:37:54.3309194Z 2022-11-23T01:37:54.3309198Z 2022-11-23T01:37:54.3309333Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.3309650Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.3309967Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:37:54.3310200Z const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.3310415Z const float* __restrict__ in_ptr1) 2022-11-23T01:37:54.3310586Z { 2022-11-23T01:37:54.3310727Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:54.3310885Z { 2022-11-23T01:37:54.3311134Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:54.3311406Z auto tmp11 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:54.3311621Z auto tmp1 = tmp0.abs(); 2022-11-23T01:37:54.3311800Z auto tmp2 = tmp1.sin(); 2022-11-23T01:37:54.3311973Z auto tmp3 = tmp2.neg(); 2022-11-23T01:37:54.3312150Z auto tmp4 = tmp3 * tmp3; 2022-11-23T01:37:54.3312387Z auto tmp5 = decltype(tmp4)(1)/(decltype(tmp4)(1) + tmp4.neg().exp()); 2022-11-23T01:37:54.3312645Z auto tmp6 = at::vec::clamp_min(tmp5, decltype(tmp5)(0)); 2022-11-23T01:37:54.3312862Z auto tmp7 = tmp6.cos(); 2022-11-23T01:37:54.3313082Z auto tmp8 = tmp7.exp(); 2022-11-23T01:37:54.3313254Z auto tmp9 = tmp8.sqrt(); 2022-11-23T01:37:54.3313435Z auto tmp10 = tmp9 + tmp0; 2022-11-23T01:37:54.3313663Z auto tmp12 = tmp10 - tmp11; 2022-11-23T01:37:54.3313845Z auto tmp13 = tmp12 * tmp0; 2022-11-23T01:37:54.3314025Z auto tmp14 = tmp13 / tmp0; 2022-11-23T01:37:54.3314206Z auto tmp15 = tmp14 * tmp14; 2022-11-23T01:37:54.3314387Z auto tmp16 = tmp15 * tmp15; 2022-11-23T01:37:54.3314562Z auto tmp17 = tmp16 * tmp14; 2022-11-23T01:37:54.3314739Z auto tmp18 = tmp17 * tmp17; 2022-11-23T01:37:54.3314917Z auto tmp19 = tmp18.log(); 2022-11-23T01:37:54.3315092Z auto tmp20 = tmp19.floor(); 2022-11-23T01:37:54.3315272Z auto tmp21 = tmp20.ceil(); 2022-11-23T01:37:54.3315450Z auto tmp22 = tmp21.trunc(); 2022-11-23T01:37:54.3315626Z auto tmp23 = tmp22.lgamma(); 2022-11-23T01:37:54.3315817Z auto tmp24 = tmp23.fmod(tmp11); 2022-11-23T01:37:54.3316091Z auto tmp25 = decltype(tmp24)::blendv(decltype(tmp24)(0), decltype(tmp24)(1), decltype(tmp24)(0) < tmp24); 2022-11-23T01:37:54.3316427Z auto tmp26 = decltype(tmp24)::blendv(decltype(tmp24)(0), decltype(tmp24)(1), tmp24 < decltype(tmp24)(0)); 2022-11-23T01:37:54.3316726Z auto tmp27 = tmp25 - tmp26; 2022-11-23T01:37:54.3316911Z auto tmp28 = tmp27 + tmp11; 2022-11-23T01:37:54.3316999Z tmp28.store(in_out_ptr0 + 8*i0); 2022-11-23T01:37:54.3317051Z } 2022-11-23T01:37:54.3317127Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.3317199Z for(long i0=64; i0<70; i0+=1) 2022-11-23T01:37:54.3317252Z { 2022-11-23T01:37:54.3317327Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.3317401Z auto tmp12 = in_ptr1[i0]; 2022-11-23T01:37:54.3317481Z auto tmp1 = std::abs(tmp0); 2022-11-23T01:37:54.3317561Z auto tmp2 = std::sin(tmp1); 2022-11-23T01:37:54.3317662Z auto tmp3 = -tmp2; 2022-11-23T01:37:54.3317742Z auto tmp4 = tmp3 * tmp3; 2022-11-23T01:37:54.3317867Z auto tmp5 = std::exp(-tmp4); 2022-11-23T01:37:54.3317938Z auto tmp6 = 1 / (1 + tmp5); 2022-11-23T01:37:54.3318015Z auto tmp7 = tmp6 * (tmp6>0); 2022-11-23T01:37:54.3318092Z auto tmp8 = std::cos(tmp7); 2022-11-23T01:37:54.3318170Z auto tmp9 = std::exp(tmp8); 2022-11-23T01:37:54.3318250Z auto tmp10 = std::sqrt(tmp9); 2022-11-23T01:37:54.3318327Z auto tmp11 = tmp10 + tmp0; 2022-11-23T01:37:54.3318443Z auto tmp13 = tmp11 - tmp12; 2022-11-23T01:37:54.3318518Z auto tmp14 = tmp13 * tmp0; 2022-11-23T01:37:54.3318592Z auto tmp15 = tmp14 / tmp0; 2022-11-23T01:37:54.3318663Z auto tmp16 = tmp15 * tmp15; 2022-11-23T01:37:54.3318735Z auto tmp17 = tmp16 * tmp16; 2022-11-23T01:37:54.3318801Z auto tmp18 = tmp17 * tmp15; 2022-11-23T01:37:54.3318873Z auto tmp19 = tmp18 * tmp18; 2022-11-23T01:37:54.3318953Z auto tmp20 = std::log(tmp19); 2022-11-23T01:37:54.3319040Z auto tmp21 = std::floor(tmp20); 2022-11-23T01:37:54.3319121Z auto tmp22 = std::ceil(tmp21); 2022-11-23T01:37:54.3319203Z auto tmp23 = std::trunc(tmp22); 2022-11-23T01:37:54.3319290Z auto tmp24 = std::lgamma(tmp23); 2022-11-23T01:37:54.3319378Z auto tmp25 = std::fmod(tmp24, tmp12); 2022-11-23T01:37:54.3319490Z auto tmp26 = tmp25 > 0 ? 1 : 0; 2022-11-23T01:37:54.3319569Z auto tmp27 = tmp25 < 0 ? 1 : 0; 2022-11-23T01:37:54.3319688Z auto tmp28 = tmp26 - tmp27; 2022-11-23T01:37:54.3319762Z auto tmp29 = tmp28 + tmp12; 2022-11-23T01:37:54.3319835Z in_out_ptr0[i0] = tmp29; 2022-11-23T01:37:54.3319886Z } 2022-11-23T01:37:54.3319932Z } 2022-11-23T01:37:54.3320004Z ''') 2022-11-23T01:37:54.3320009Z 2022-11-23T01:37:54.3320014Z 2022-11-23T01:37:54.3320097Z async_compile.wait(globals()) 2022-11-23T01:37:54.3320163Z del async_compile 2022-11-23T01:37:54.3320167Z 2022-11-23T01:37:54.3320229Z def call(args): 2022-11-23T01:37:54.3320324Z x1_1, x2_1 = args 2022-11-23T01:37:54.3320388Z args.clear() 2022-11-23T01:37:54.3320585Z buf0 = empty_strided((10, 7), (7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3320658Z buf1 = buf0; del buf0 # reuse 2022-11-23T01:37:54.3320806Z kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(x1_1.data_ptr()), c_void_p(x2_1.data_ptr())) 2022-11-23T01:37:54.3320866Z del x1_1 2022-11-23T01:37:54.3320923Z del x2_1 2022-11-23T01:37:54.3320986Z return (buf1, ) 2022-11-23T01:37:54.3320992Z 2022-11-23T01:37:54.3320996Z 2022-11-23T01:37:54.3321064Z if __name__ == "__main__": 2022-11-23T01:37:54.3321169Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.3321278Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.3321468Z x1_1 = rand_strided((10, 7), (7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3321656Z x2_1 = rand_strided((10, 7), (7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3321759Z print_performance(lambda: call([x1_1, x2_1])) 2022-11-23T01:37:54.3321765Z 2022-11-23T01:37:54.3321824Z ok (5.119s) 2022-11-23T01:37:54.3322119Z test_abs_cpu (__main__.CpuTests) ... [2022-11-23 01:29:26,654] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.3322393Z [2022-11-23 01:29:26,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.3322608Z [2022-11-23 01:29:26,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.3322859Z [2022-11-23 01:29:26,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.3323134Z [2022-11-23 01:29:26,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.3323453Z [2022-11-23 01:29:26,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.3323775Z [2022-11-23 01:29:26,655] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.3323862Z 665 0 LOAD_FAST 0 (a) 2022-11-23T01:37:54.3323948Z 2 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.3324036Z 4 LOAD_METHOD 1 (abs) 2022-11-23T01:37:54.3353523Z 6 LOAD_FAST 0 (a) 2022-11-23T01:37:54.3353611Z 8 CALL_METHOD 1 2022-11-23T01:37:54.3353687Z 10 LOAD_CONST 1 (1) 2022-11-23T01:37:54.3353753Z 12 BINARY_ADD 2022-11-23T01:37:54.3353828Z 14 BINARY_TRUE_DIVIDE 2022-11-23T01:37:54.3353915Z 16 BUILD_TUPLE 1 2022-11-23T01:37:54.3353983Z 18 RETURN_VALUE 2022-11-23T01:37:54.3354037Z 2022-11-23T01:37:54.3354043Z 2022-11-23T01:37:54.3354370Z [2022-11-23 01:29:26,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:665 2022-11-23T01:37:54.3354579Z [2022-11-23 01:29:26,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:54.3354817Z [2022-11-23 01:29:26,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:37:54.3355352Z [2022-11-23 01:29:26,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR abs [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.3355699Z [2022-11-23 01:29:26,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.3356075Z [2022-11-23 01:29:26,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.3356388Z [2022-11-23 01:29:26,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.3356695Z [2022-11-23 01:29:26,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.3356976Z [2022-11-23 01:29:26,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.3357213Z [2022-11-23 01:29:26,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:54.3357458Z [2022-11-23 01:29:26,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.3357783Z [2022-11-23 01:29:26,659] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.3358024Z [2022-11-23 01:29:26,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.3358251Z [2022-11-23 01:29:26,659] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.3358498Z [2022-11-23 01:29:26,660] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.3358745Z [2022-11-23 01:29:26,664] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.3358931Z [2022-11-23 01:29:26,664] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.3359058Z __compiled_fn_5 .47 opcode, name, target, args, kwargs 2022-11-23T01:37:54.3359140Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.3359357Z call_function, abs_1, , (ex_0_,), {} 2022-11-23T01:37:54.3359528Z call_function, add, , (abs_1, 1), {} 2022-11-23T01:37:54.3359705Z call_function, truediv, , (ex_0_, add), {} 2022-11-23T01:37:54.3359803Z output, output, output, ((truediv,),), {} 2022-11-23T01:37:54.3359809Z 2022-11-23T01:37:54.3360081Z [2022-11-23 01:29:26,665] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.3360168Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.3360253Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.3360340Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.3360421Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.3360490Z 8 RETURN_VALUE 2022-11-23T01:37:54.3360495Z 2022-11-23T01:37:54.3360542Z 2022-11-23T01:37:54.3360812Z [2022-11-23 01:29:26,665] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.3360910Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_5) 2022-11-23T01:37:54.3360993Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.3361077Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.3361145Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.3361226Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.3361316Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.3361409Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.3361522Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.3361594Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.3361675Z 18 BUILD_TUPLE 1 2022-11-23T01:37:54.3361743Z 20 RETURN_VALUE 2022-11-23T01:37:54.3361748Z 2022-11-23T01:37:54.3361802Z 2022-11-23T01:37:54.3361981Z [2022-11-23 01:29:26,666] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.3362039Z - 2022-11-23T01:37:54.3362151Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.3362209Z { 2022-11-23T01:37:54.3362345Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.3362562Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.3362678Z 'obj_weakref': None 2022-11-23T01:37:54.3362899Z 'guarded_class': 2022-11-23T01:37:54.3362952Z } 2022-11-23T01:37:54.3363010Z 2022-11-23T01:37:54.3363074Z - 2022-11-23T01:37:54.3363196Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.3363253Z { 2022-11-23T01:37:54.3363390Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.3363485Z 'code': None, 2022-11-23T01:37:54.3363697Z 'obj_weakref': 2022-11-23T01:37:54.3363944Z 'guarded_class': 2022-11-23T01:37:54.3364000Z } 2022-11-23T01:37:54.3364063Z 2022-11-23T01:37:54.3364126Z - 2022-11-23T01:37:54.3364251Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.3364306Z { 2022-11-23T01:37:54.3364427Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.3364590Z 'code': ['___check_obj_id(model, 140539203668880)'], 2022-11-23T01:37:54.3364704Z 'obj_weakref': None 2022-11-23T01:37:54.3364934Z 'guarded_class': 2022-11-23T01:37:54.3364993Z } 2022-11-23T01:37:54.3365048Z 2022-11-23T01:37:54.3365111Z - 2022-11-23T01:37:54.3365220Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.3365277Z { 2022-11-23T01:37:54.3365408Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.3365624Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.3365737Z 'obj_weakref': None 2022-11-23T01:37:54.3365957Z 'guarded_class': 2022-11-23T01:37:54.3366013Z } 2022-11-23T01:37:54.3366062Z 2022-11-23T01:37:54.3366125Z - 2022-11-23T01:37:54.3366253Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.3366310Z { 2022-11-23T01:37:54.3366426Z 'guard_types': None, 2022-11-23T01:37:54.3366528Z 'code': None, 2022-11-23T01:37:54.3366634Z 'obj_weakref': None 2022-11-23T01:37:54.3366751Z 'guarded_class': None 2022-11-23T01:37:54.3366808Z } 2022-11-23T01:37:54.3366863Z 2022-11-23T01:37:54.3367114Z [2022-11-23 01:29:26,672] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 5 2022-11-23T01:37:54.3367475Z [2022-11-23 01:29:28,074] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6q/c6qinlz44eqbfjilrmftzbbsl6773orvoxo4dxx3jgped6krr5dg.py 2022-11-23T01:37:54.3367735Z [2022-11-23 01:29:28,074] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 5 2022-11-23T01:37:54.3367741Z 2022-11-23T01:37:54.3367825Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.3367880Z import torch 2022-11-23T01:37:54.3367941Z import random 2022-11-23T01:37:54.3368048Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.3368195Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.3368201Z 2022-11-23T01:37:54.3368273Z aten = torch.ops.aten 2022-11-23T01:37:54.3368401Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.3368487Z async_compile = AsyncCompile() 2022-11-23T01:37:54.3368492Z 2022-11-23T01:37:54.3368496Z 2022-11-23T01:37:54.3368626Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.3368819Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.3368931Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.3369091Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.3369144Z { 2022-11-23T01:37:54.3369216Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:54.3369269Z { 2022-11-23T01:37:54.3369406Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:54.3369476Z auto tmp1 = tmp0.abs(); 2022-11-23T01:37:54.3369603Z auto tmp2 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:54.3369680Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:37:54.3369754Z auto tmp4 = tmp0 / tmp3; 2022-11-23T01:37:54.3369834Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.3369888Z } 2022-11-23T01:37:54.3369968Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.3370036Z for(long i0=16; i0<17; i0+=1) 2022-11-23T01:37:54.3370091Z { 2022-11-23T01:37:54.3370165Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.3370246Z auto tmp1 = std::abs(tmp0); 2022-11-23T01:37:54.3370336Z auto tmp2 = static_cast(1); 2022-11-23T01:37:54.3370408Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:37:54.3370482Z auto tmp4 = tmp0 / tmp3; 2022-11-23T01:37:54.3370546Z out_ptr0[i0] = tmp4; 2022-11-23T01:37:54.3370599Z } 2022-11-23T01:37:54.3370652Z } 2022-11-23T01:37:54.3370727Z ''') 2022-11-23T01:37:54.3370732Z 2022-11-23T01:37:54.3370736Z 2022-11-23T01:37:54.3370821Z async_compile.wait(globals()) 2022-11-23T01:37:54.3370886Z del async_compile 2022-11-23T01:37:54.3370890Z 2022-11-23T01:37:54.3370954Z def call(args): 2022-11-23T01:37:54.3371015Z arg0_1, = args 2022-11-23T01:37:54.3371073Z args.clear() 2022-11-23T01:37:54.3371265Z buf0 = empty_strided((17, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3371392Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.3371453Z del arg0_1 2022-11-23T01:37:54.3371517Z return (buf0, ) 2022-11-23T01:37:54.3371522Z 2022-11-23T01:37:54.3371528Z 2022-11-23T01:37:54.3371599Z if __name__ == "__main__": 2022-11-23T01:37:54.3371705Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.3371813Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.3372006Z arg0_1 = rand_strided((17, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3372109Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.3372114Z 2022-11-23T01:37:54.3372174Z ok (1.428s) 2022-11-23T01:37:54.3372499Z test_adaptive_avg_pool2d1_cpu (__main__.CpuTests) ... [2022-11-23 01:29:28,082] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.3372762Z [2022-11-23 01:29:28,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.3372976Z [2022-11-23 01:29:28,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.3373226Z [2022-11-23 01:29:28,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.3373514Z [2022-11-23 01:29:28,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.3373826Z [2022-11-23 01:29:28,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.3374179Z [2022-11-23 01:29:28,083] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.3374272Z 1916 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.3374378Z 2 LOAD_METHOD 1 (_adaptive_avg_pool2d) 2022-11-23T01:37:54.3374461Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:54.3374546Z 6 LOAD_CONST 1 ((6, 6)) 2022-11-23T01:37:54.3374628Z 8 CALL_METHOD 2 2022-11-23T01:37:54.3374745Z 10 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.3374843Z 12 LOAD_METHOD 1 (_adaptive_avg_pool2d) 2022-11-23T01:37:54.3374848Z 2022-11-23T01:37:54.3374931Z 1917 14 LOAD_FAST 0 (x) 2022-11-23T01:37:54.3375014Z 16 LOAD_CONST 2 (1) 2022-11-23T01:37:54.3375083Z 18 BINARY_ADD 2022-11-23T01:37:54.3375168Z 20 LOAD_CONST 3 ((2, 5)) 2022-11-23T01:37:54.3375247Z 22 CALL_METHOD 2 2022-11-23T01:37:54.3375327Z 24 BUILD_TUPLE 2 2022-11-23T01:37:54.3375389Z 26 RETURN_VALUE 2022-11-23T01:37:54.3375445Z 2022-11-23T01:37:54.3375450Z 2022-11-23T01:37:54.3375717Z [2022-11-23 01:29:28,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1916 2022-11-23T01:37:54.3375933Z [2022-11-23 01:29:28,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.3376269Z [2022-11-23 01:29:28,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TorchVariable()] 2022-11-23T01:37:54.3376542Z [2022-11-23 01:29:28,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten._adaptive_avg_pool2d)] 2022-11-23T01:37:54.3376855Z [2022-11-23 01:29:28,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (6, 6) [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()] 2022-11-23T01:37:54.3377202Z [2022-11-23 01:29:28,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)] 2022-11-23T01:37:54.3377445Z [2022-11-23 01:29:28,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:54.3377800Z [2022-11-23 01:29:28,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.3378057Z [2022-11-23 01:29:28,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1917 2022-11-23T01:37:54.3378353Z [2022-11-23 01:29:28,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d)] 2022-11-23T01:37:54.3378679Z [2022-11-23 01:29:28,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()] 2022-11-23T01:37:54.3379294Z [2022-11-23 01:29:28,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.3379634Z [2022-11-23 01:29:28,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 5) [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()] 2022-11-23T01:37:54.3380009Z [2022-11-23 01:29:28,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)] 2022-11-23T01:37:54.3380280Z [2022-11-23 01:29:28,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.3380577Z [2022-11-23 01:29:28,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.3380912Z [2022-11-23 01:29:28,099] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.3381153Z [2022-11-23 01:29:28,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.3381384Z [2022-11-23 01:29:28,099] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.3381626Z [2022-11-23 01:29:28,100] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.3381915Z [2022-11-23 01:29:28,104] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.3382099Z [2022-11-23 01:29:28,104] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.3382226Z __compiled_fn_6 .53 opcode, name, target, args, kwargs 2022-11-23T01:37:54.3382313Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.3382453Z call_function, _adaptive_avg_pool2d, aten._adaptive_avg_pool2d, (ex_0_, (6, 6)), {} 2022-11-23T01:37:54.3382621Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:54.3382762Z call_function, _adaptive_avg_pool2d_1, aten._adaptive_avg_pool2d, (add, (2, 5)), {} 2022-11-23T01:37:54.3382892Z output, output, output, ((_adaptive_avg_pool2d, _adaptive_avg_pool2d_1),), {} 2022-11-23T01:37:54.3382903Z 2022-11-23T01:37:54.3383169Z [2022-11-23 01:29:28,104] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.3383261Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.3383346Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.3383430Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.3383513Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.3383582Z 8 RETURN_VALUE 2022-11-23T01:37:54.3383589Z 2022-11-23T01:37:54.3383643Z 2022-11-23T01:37:54.3383910Z [2022-11-23 01:29:28,104] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.3384011Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_6) 2022-11-23T01:37:54.3384094Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.3384177Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.3384247Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.3384328Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.3384424Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.3384521Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.3384597Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.3384669Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.3384763Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.3384846Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:54.3384917Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.3384996Z 24 BUILD_TUPLE 2 2022-11-23T01:37:54.3385064Z 26 RETURN_VALUE 2022-11-23T01:37:54.3385070Z 2022-11-23T01:37:54.3385116Z 2022-11-23T01:37:54.3385295Z [2022-11-23 01:29:28,105] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.3385361Z - 2022-11-23T01:37:54.3385476Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.3385535Z { 2022-11-23T01:37:54.3385671Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.3385860Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.3385969Z 'obj_weakref': None 2022-11-23T01:37:54.3386186Z 'guarded_class': 2022-11-23T01:37:54.3386246Z } 2022-11-23T01:37:54.3386303Z 2022-11-23T01:37:54.3386369Z - 2022-11-23T01:37:54.3386520Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.3386581Z { 2022-11-23T01:37:54.3386714Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.3386818Z 'code': None, 2022-11-23T01:37:54.3387028Z 'obj_weakref': 2022-11-23T01:37:54.3387279Z 'guarded_class': 2022-11-23T01:37:54.3387338Z } 2022-11-23T01:37:54.3387393Z 2022-11-23T01:37:54.3387491Z - 2022-11-23T01:37:54.3387611Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.3387668Z { 2022-11-23T01:37:54.3387798Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.3387966Z 'code': ['___check_obj_id(model, 140539114129312)'], 2022-11-23T01:37:54.3388082Z 'obj_weakref': None 2022-11-23T01:37:54.3388392Z 'guarded_class': 2022-11-23T01:37:54.3388451Z } 2022-11-23T01:37:54.3388500Z 2022-11-23T01:37:54.3388565Z - 2022-11-23T01:37:54.3388684Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.3388740Z { 2022-11-23T01:37:54.3388872Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.3389090Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.3389206Z 'obj_weakref': None 2022-11-23T01:37:54.3389415Z 'guarded_class': 2022-11-23T01:37:54.3389475Z } 2022-11-23T01:37:54.3389532Z 2022-11-23T01:37:54.3389598Z - 2022-11-23T01:37:54.3389725Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.3389782Z { 2022-11-23T01:37:54.3389897Z 'guard_types': None, 2022-11-23T01:37:54.3389996Z 'code': None, 2022-11-23T01:37:54.3390108Z 'obj_weakref': None 2022-11-23T01:37:54.3390225Z 'guarded_class': None 2022-11-23T01:37:54.3390283Z } 2022-11-23T01:37:54.3390340Z 2022-11-23T01:37:54.3390592Z [2022-11-23 01:29:28,112] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 6 2022-11-23T01:37:54.3390828Z [2022-11-23 01:29:28,295] torch._inductor.ir: [WARNING] Using FallbackKernel: aten._adaptive_avg_pool2d 2022-11-23T01:37:54.3390834Z 2022-11-23T01:37:54.3390914Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.3390979Z import torch 2022-11-23T01:37:54.3391042Z import random 2022-11-23T01:37:54.3391151Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.3391266Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.3391271Z 2022-11-23T01:37:54.3391345Z aten = torch.ops.aten 2022-11-23T01:37:54.3391474Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.3391559Z async_compile = AsyncCompile() 2022-11-23T01:37:54.3391564Z 2022-11-23T01:37:54.3391568Z 2022-11-23T01:37:54.3391691Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.3391890Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.3392004Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.3392099Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.3392190Z float* __restrict__ out_ptr1) 2022-11-23T01:37:54.3392243Z { 2022-11-23T01:37:54.3392318Z #pragma GCC ivdep 2022-11-23T01:37:54.3392387Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:54.3392443Z { 2022-11-23T01:37:54.3392515Z #pragma GCC ivdep 2022-11-23T01:37:54.3392590Z for(long i1=0; i1<6; i1+=1) 2022-11-23T01:37:54.3392651Z { 2022-11-23T01:37:54.3392730Z #pragma GCC ivdep 2022-11-23T01:37:54.3392846Z for(long i2=0; i2<6; i2+=1) 2022-11-23T01:37:54.3392898Z { 2022-11-23T01:37:54.3392962Z { 2022-11-23T01:37:54.3393027Z { 2022-11-23T01:37:54.3393141Z auto tmp0 = static_cast(((8*i1) / 3)); 2022-11-23T01:37:54.3393256Z auto tmp1 = static_cast(((21 + (16*i1)) / 6)); 2022-11-23T01:37:54.3393353Z auto tmp2 = tmp0 < tmp1; 2022-11-23T01:37:54.3393466Z auto tmp3 = static_cast(((8*i2) / 3)); 2022-11-23T01:37:54.3393568Z auto tmp4 = static_cast(((21 + (16*i2)) / 6)); 2022-11-23T01:37:54.3393689Z auto tmp5 = tmp3 < tmp4; 2022-11-23T01:37:54.3393783Z auto tmp6 = tmp2 & tmp5; 2022-11-23T01:37:54.3393868Z float tmp7 = 0.0; 2022-11-23T01:37:54.3393941Z if(tmp6) 2022-11-23T01:37:54.3394008Z { 2022-11-23T01:37:54.3394130Z auto tmp8 = in_ptr0[(16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))]; 2022-11-23T01:37:54.3394200Z tmp7 = tmp8; 2022-11-23T01:37:54.3394266Z } 2022-11-23T01:37:54.3394379Z auto tmp9 = static_cast(1 + (((8*i2) / 3))); 2022-11-23T01:37:54.3394471Z auto tmp10 = tmp9 < tmp4; 2022-11-23T01:37:54.3394563Z auto tmp11 = tmp2 & tmp10; 2022-11-23T01:37:54.3394647Z float tmp12 = 0.0; 2022-11-23T01:37:54.3394721Z if(tmp11) 2022-11-23T01:37:54.3394790Z { 2022-11-23T01:37:54.3394900Z auto tmp13 = in_ptr0[1 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))]; 2022-11-23T01:37:54.3394982Z tmp12 = tmp13; 2022-11-23T01:37:54.3395049Z } 2022-11-23T01:37:54.3395143Z auto tmp14 = tmp12 + tmp7; 2022-11-23T01:37:54.3395260Z auto tmp15 = static_cast(2 + (((8*i2) / 3))); 2022-11-23T01:37:54.3395353Z auto tmp16 = tmp15 < tmp4; 2022-11-23T01:37:54.3395443Z auto tmp17 = tmp2 & tmp16; 2022-11-23T01:37:54.3395514Z float tmp18 = 0.0; 2022-11-23T01:37:54.3395588Z if(tmp17) 2022-11-23T01:37:54.3395656Z { 2022-11-23T01:37:54.3395778Z auto tmp19 = in_ptr0[2 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))]; 2022-11-23T01:37:54.3395863Z tmp18 = tmp19; 2022-11-23T01:37:54.3395932Z } 2022-11-23T01:37:54.3396025Z auto tmp20 = tmp18 + tmp14; 2022-11-23T01:37:54.3396127Z auto tmp21 = static_cast(3 + (((8*i2) / 3))); 2022-11-23T01:37:54.3396217Z auto tmp22 = tmp21 < tmp4; 2022-11-23T01:37:54.3396309Z auto tmp23 = tmp2 & tmp22; 2022-11-23T01:37:54.3396393Z float tmp24 = 0.0; 2022-11-23T01:37:54.3396467Z if(tmp23) 2022-11-23T01:37:54.3396531Z { 2022-11-23T01:37:54.3396652Z auto tmp25 = in_ptr0[3 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))]; 2022-11-23T01:37:54.3396732Z tmp24 = tmp25; 2022-11-23T01:37:54.3396787Z } 2022-11-23T01:37:54.3396879Z auto tmp26 = tmp24 + tmp20; 2022-11-23T01:37:54.3396991Z auto tmp27 = static_cast(1 + (((8*i1) / 3))); 2022-11-23T01:37:54.3397086Z auto tmp28 = tmp27 < tmp1; 2022-11-23T01:37:54.3397176Z auto tmp29 = tmp28 & tmp5; 2022-11-23T01:37:54.3397259Z float tmp30 = 0.0; 2022-11-23T01:37:54.3397333Z if(tmp29) 2022-11-23T01:37:54.3397387Z { 2022-11-23T01:37:54.3397595Z auto tmp31 = in_ptr0[16 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))]; 2022-11-23T01:37:54.3397679Z tmp30 = tmp31; 2022-11-23T01:37:54.3397748Z } 2022-11-23T01:37:54.3397840Z auto tmp32 = tmp30 + tmp26; 2022-11-23T01:37:54.3397930Z auto tmp33 = tmp28 & tmp10; 2022-11-23T01:37:54.3398016Z float tmp34 = 0.0; 2022-11-23T01:37:54.3398078Z if(tmp33) 2022-11-23T01:37:54.3398146Z { 2022-11-23T01:37:54.3398299Z auto tmp35 = in_ptr0[17 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))]; 2022-11-23T01:37:54.3398378Z tmp34 = tmp35; 2022-11-23T01:37:54.3398444Z } 2022-11-23T01:37:54.3398535Z auto tmp36 = tmp34 + tmp32; 2022-11-23T01:37:54.3398624Z auto tmp37 = tmp28 & tmp16; 2022-11-23T01:37:54.3398696Z float tmp38 = 0.0; 2022-11-23T01:37:54.3398771Z if(tmp37) 2022-11-23T01:37:54.3398837Z { 2022-11-23T01:37:54.3398960Z auto tmp39 = in_ptr0[18 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))]; 2022-11-23T01:37:54.3399040Z tmp38 = tmp39; 2022-11-23T01:37:54.3399106Z } 2022-11-23T01:37:54.3399197Z auto tmp40 = tmp38 + tmp36; 2022-11-23T01:37:54.3399275Z auto tmp41 = tmp28 & tmp22; 2022-11-23T01:37:54.3399362Z float tmp42 = 0.0; 2022-11-23T01:37:54.3399434Z if(tmp41) 2022-11-23T01:37:54.3399501Z { 2022-11-23T01:37:54.3399620Z auto tmp43 = in_ptr0[19 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))]; 2022-11-23T01:37:54.3399700Z tmp42 = tmp43; 2022-11-23T01:37:54.3399767Z } 2022-11-23T01:37:54.3399858Z auto tmp44 = tmp42 + tmp40; 2022-11-23T01:37:54.3399959Z auto tmp45 = static_cast(2 + (((8*i1) / 3))); 2022-11-23T01:37:54.3400051Z auto tmp46 = tmp45 < tmp1; 2022-11-23T01:37:54.3400143Z auto tmp47 = tmp46 & tmp5; 2022-11-23T01:37:54.3400226Z float tmp48 = 0.0; 2022-11-23T01:37:54.3400300Z if(tmp47) 2022-11-23T01:37:54.3400366Z { 2022-11-23T01:37:54.3400486Z auto tmp49 = in_ptr0[32 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))]; 2022-11-23T01:37:54.3400557Z tmp48 = tmp49; 2022-11-23T01:37:54.3400622Z } 2022-11-23T01:37:54.3400713Z auto tmp50 = tmp48 + tmp44; 2022-11-23T01:37:54.3400802Z auto tmp51 = tmp46 & tmp10; 2022-11-23T01:37:54.3400886Z float tmp52 = 0.0; 2022-11-23T01:37:54.3400959Z if(tmp51) 2022-11-23T01:37:54.3401026Z { 2022-11-23T01:37:54.3401132Z auto tmp53 = in_ptr0[33 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))]; 2022-11-23T01:37:54.3401212Z tmp52 = tmp53; 2022-11-23T01:37:54.3401279Z } 2022-11-23T01:37:54.3401372Z auto tmp54 = tmp52 + tmp50; 2022-11-23T01:37:54.3401462Z auto tmp55 = tmp46 & tmp16; 2022-11-23T01:37:54.3401545Z float tmp56 = 0.0; 2022-11-23T01:37:54.3401621Z if(tmp55) 2022-11-23T01:37:54.3401676Z { 2022-11-23T01:37:54.3401798Z auto tmp57 = in_ptr0[34 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))]; 2022-11-23T01:37:54.3401878Z tmp56 = tmp57; 2022-11-23T01:37:54.3401972Z } 2022-11-23T01:37:54.3402065Z auto tmp58 = tmp56 + tmp54; 2022-11-23T01:37:54.3402156Z auto tmp59 = tmp46 & tmp22; 2022-11-23T01:37:54.3402239Z float tmp60 = 0.0; 2022-11-23T01:37:54.3402312Z if(tmp59) 2022-11-23T01:37:54.3402367Z { 2022-11-23T01:37:54.3402487Z auto tmp61 = in_ptr0[35 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))]; 2022-11-23T01:37:54.3402566Z tmp60 = tmp61; 2022-11-23T01:37:54.3402632Z } 2022-11-23T01:37:54.3402754Z auto tmp62 = tmp60 + tmp58; 2022-11-23T01:37:54.3402866Z auto tmp63 = static_cast(3 + (((8*i1) / 3))); 2022-11-23T01:37:54.3402958Z auto tmp64 = tmp63 < tmp1; 2022-11-23T01:37:54.3403035Z auto tmp65 = tmp64 & tmp5; 2022-11-23T01:37:54.3403120Z float tmp66 = 0.0; 2022-11-23T01:37:54.3403193Z if(tmp65) 2022-11-23T01:37:54.3403262Z { 2022-11-23T01:37:54.3403382Z auto tmp67 = in_ptr0[48 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))]; 2022-11-23T01:37:54.3403462Z tmp66 = tmp67; 2022-11-23T01:37:54.3403529Z } 2022-11-23T01:37:54.3403607Z auto tmp68 = tmp66 + tmp62; 2022-11-23T01:37:54.3403697Z auto tmp69 = tmp64 & tmp10; 2022-11-23T01:37:54.3403780Z float tmp70 = 0.0; 2022-11-23T01:37:54.3403856Z if(tmp69) 2022-11-23T01:37:54.3403922Z { 2022-11-23T01:37:54.3404041Z auto tmp71 = in_ptr0[49 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))]; 2022-11-23T01:37:54.3404120Z tmp70 = tmp71; 2022-11-23T01:37:54.3404174Z } 2022-11-23T01:37:54.3404266Z auto tmp72 = tmp70 + tmp68; 2022-11-23T01:37:54.3404356Z auto tmp73 = tmp64 & tmp16; 2022-11-23T01:37:54.3404442Z float tmp74 = 0.0; 2022-11-23T01:37:54.3404516Z if(tmp73) 2022-11-23T01:37:54.3404582Z { 2022-11-23T01:37:54.3404701Z auto tmp75 = in_ptr0[50 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))]; 2022-11-23T01:37:54.3404782Z tmp74 = tmp75; 2022-11-23T01:37:54.3404837Z } 2022-11-23T01:37:54.3404930Z auto tmp76 = tmp74 + tmp72; 2022-11-23T01:37:54.3405019Z auto tmp77 = tmp64 & tmp22; 2022-11-23T01:37:54.3405101Z float tmp78 = 0.0; 2022-11-23T01:37:54.3405176Z if(tmp77) 2022-11-23T01:37:54.3405243Z { 2022-11-23T01:37:54.3405364Z auto tmp79 = in_ptr0[51 + (16*(((8*i1) / 3))) + (256*i0) + (((8*i2) / 3))]; 2022-11-23T01:37:54.3405433Z tmp78 = tmp79; 2022-11-23T01:37:54.3405499Z } 2022-11-23T01:37:54.3405591Z auto tmp80 = tmp78 + tmp76; 2022-11-23T01:37:54.3405674Z float tmp81 = 0.0; 2022-11-23T01:37:54.3405748Z if(tmp6) 2022-11-23T01:37:54.3405815Z { 2022-11-23T01:37:54.3405926Z auto tmp82 = static_cast(1); 2022-11-23T01:37:54.3405994Z tmp81 = tmp82; 2022-11-23T01:37:54.3406063Z } 2022-11-23T01:37:54.3406145Z float tmp83 = 0.0; 2022-11-23T01:37:54.3406220Z if(tmp11) 2022-11-23T01:37:54.3406287Z { 2022-11-23T01:37:54.3406393Z auto tmp84 = static_cast(1); 2022-11-23T01:37:54.3406473Z tmp83 = tmp84; 2022-11-23T01:37:54.3406558Z } 2022-11-23T01:37:54.3406652Z auto tmp85 = tmp83 + tmp81; 2022-11-23T01:37:54.3406735Z float tmp86 = 0.0; 2022-11-23T01:37:54.3406809Z if(tmp17) 2022-11-23T01:37:54.3406875Z { 2022-11-23T01:37:54.3406981Z auto tmp87 = static_cast(1); 2022-11-23T01:37:54.3407061Z tmp86 = tmp87; 2022-11-23T01:37:54.3407117Z } 2022-11-23T01:37:54.3407208Z auto tmp88 = tmp86 + tmp85; 2022-11-23T01:37:54.3407340Z float tmp89 = 0.0; 2022-11-23T01:37:54.3407415Z if(tmp23) 2022-11-23T01:37:54.3407482Z { 2022-11-23T01:37:54.3407588Z auto tmp90 = static_cast(1); 2022-11-23T01:37:54.3407667Z tmp89 = tmp90; 2022-11-23T01:37:54.3407724Z } 2022-11-23T01:37:54.3407817Z auto tmp91 = tmp89 + tmp88; 2022-11-23T01:37:54.3407900Z float tmp92 = 0.0; 2022-11-23T01:37:54.3407974Z if(tmp29) 2022-11-23T01:37:54.3408041Z { 2022-11-23T01:37:54.3408147Z auto tmp93 = static_cast(1); 2022-11-23T01:37:54.3408227Z tmp92 = tmp93; 2022-11-23T01:37:54.3408280Z } 2022-11-23T01:37:54.3408374Z auto tmp94 = tmp92 + tmp91; 2022-11-23T01:37:54.3408456Z float tmp95 = 0.0; 2022-11-23T01:37:54.3408533Z if(tmp33) 2022-11-23T01:37:54.3408600Z { 2022-11-23T01:37:54.3408706Z auto tmp96 = static_cast(1); 2022-11-23T01:37:54.3408784Z tmp95 = tmp96; 2022-11-23T01:37:54.3408837Z } 2022-11-23T01:37:54.3408930Z auto tmp97 = tmp95 + tmp94; 2022-11-23T01:37:54.3409010Z float tmp98 = 0.0; 2022-11-23T01:37:54.3409083Z if(tmp37) 2022-11-23T01:37:54.3409148Z { 2022-11-23T01:37:54.3409253Z auto tmp99 = static_cast(1); 2022-11-23T01:37:54.3409332Z tmp98 = tmp99; 2022-11-23T01:37:54.3409386Z } 2022-11-23T01:37:54.3409482Z auto tmp100 = tmp98 + tmp97; 2022-11-23T01:37:54.3409567Z float tmp101 = 0.0; 2022-11-23T01:37:54.3409644Z if(tmp41) 2022-11-23T01:37:54.3409709Z { 2022-11-23T01:37:54.3409814Z auto tmp102 = static_cast(1); 2022-11-23T01:37:54.3409899Z tmp101 = tmp102; 2022-11-23T01:37:54.3409952Z } 2022-11-23T01:37:54.3410048Z auto tmp103 = tmp101 + tmp100; 2022-11-23T01:37:54.3410136Z float tmp104 = 0.0; 2022-11-23T01:37:54.3410211Z if(tmp47) 2022-11-23T01:37:54.3410276Z { 2022-11-23T01:37:54.3410380Z auto tmp105 = static_cast(1); 2022-11-23T01:37:54.3410465Z tmp104 = tmp105; 2022-11-23T01:37:54.3410518Z } 2022-11-23T01:37:54.3410615Z auto tmp106 = tmp104 + tmp103; 2022-11-23T01:37:54.3410699Z float tmp107 = 0.0; 2022-11-23T01:37:54.3410775Z if(tmp51) 2022-11-23T01:37:54.3410841Z { 2022-11-23T01:37:54.3410944Z auto tmp108 = static_cast(1); 2022-11-23T01:37:54.3411026Z tmp107 = tmp108; 2022-11-23T01:37:54.3411079Z } 2022-11-23T01:37:54.3411173Z auto tmp109 = tmp107 + tmp106; 2022-11-23T01:37:54.3411287Z float tmp110 = 0.0; 2022-11-23T01:37:54.3411364Z if(tmp55) 2022-11-23T01:37:54.3411431Z { 2022-11-23T01:37:54.3411533Z auto tmp111 = static_cast(1); 2022-11-23T01:37:54.3411616Z tmp110 = tmp111; 2022-11-23T01:37:54.3411671Z } 2022-11-23T01:37:54.3411764Z auto tmp112 = tmp110 + tmp109; 2022-11-23T01:37:54.3411848Z float tmp113 = 0.0; 2022-11-23T01:37:54.3411923Z if(tmp59) 2022-11-23T01:37:54.3412019Z { 2022-11-23T01:37:54.3412125Z auto tmp114 = static_cast(1); 2022-11-23T01:37:54.3412208Z tmp113 = tmp114; 2022-11-23T01:37:54.3412261Z } 2022-11-23T01:37:54.3412354Z auto tmp115 = tmp113 + tmp112; 2022-11-23T01:37:54.3412441Z float tmp116 = 0.0; 2022-11-23T01:37:54.3412515Z if(tmp65) 2022-11-23T01:37:54.3412582Z { 2022-11-23T01:37:54.3412687Z auto tmp117 = static_cast(1); 2022-11-23T01:37:54.3412768Z tmp116 = tmp117; 2022-11-23T01:37:54.3412822Z } 2022-11-23T01:37:54.3412916Z auto tmp118 = tmp116 + tmp115; 2022-11-23T01:37:54.3413002Z float tmp119 = 0.0; 2022-11-23T01:37:54.3413074Z if(tmp69) 2022-11-23T01:37:54.3413143Z { 2022-11-23T01:37:54.3413246Z auto tmp120 = static_cast(1); 2022-11-23T01:37:54.3413327Z tmp119 = tmp120; 2022-11-23T01:37:54.3413381Z } 2022-11-23T01:37:54.3413478Z auto tmp121 = tmp119 + tmp118; 2022-11-23T01:37:54.3413564Z float tmp122 = 0.0; 2022-11-23T01:37:54.3413638Z if(tmp73) 2022-11-23T01:37:54.3413703Z { 2022-11-23T01:37:54.3413811Z auto tmp123 = static_cast(1); 2022-11-23T01:37:54.3413893Z tmp122 = tmp123; 2022-11-23T01:37:54.3413947Z } 2022-11-23T01:37:54.3414041Z auto tmp124 = tmp122 + tmp121; 2022-11-23T01:37:54.3414125Z float tmp125 = 0.0; 2022-11-23T01:37:54.3414197Z if(tmp77) 2022-11-23T01:37:54.3414262Z { 2022-11-23T01:37:54.3414369Z auto tmp126 = static_cast(1); 2022-11-23T01:37:54.3414453Z tmp125 = tmp126; 2022-11-23T01:37:54.3414519Z } 2022-11-23T01:37:54.3414602Z auto tmp127 = tmp125 + tmp124; 2022-11-23T01:37:54.3414699Z auto tmp128 = tmp80 / tmp127; 2022-11-23T01:37:54.3414802Z out_ptr0[i2 + (6*i1) + (36*i0)] = tmp128; 2022-11-23T01:37:54.3414868Z } 2022-11-23T01:37:54.3414932Z } 2022-11-23T01:37:54.3414994Z } 2022-11-23T01:37:54.3415044Z } 2022-11-23T01:37:54.3415104Z } 2022-11-23T01:37:54.3415183Z for(long i0=0; i0<256; i0+=1) 2022-11-23T01:37:54.3415244Z { 2022-11-23T01:37:54.3415389Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:54.3415521Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:54.3415607Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.3415694Z tmp2.store(out_ptr1 + 8*i0); 2022-11-23T01:37:54.3415742Z } 2022-11-23T01:37:54.3415830Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.3415915Z for(long i0=2048; i0<2048; i0+=1) 2022-11-23T01:37:54.3415973Z { 2022-11-23T01:37:54.3416052Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.3416177Z auto tmp1 = static_cast(1); 2022-11-23T01:37:54.3416251Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.3416330Z out_ptr1[i0] = tmp2; 2022-11-23T01:37:54.3416389Z } 2022-11-23T01:37:54.3416446Z } 2022-11-23T01:37:54.3416552Z ''') 2022-11-23T01:37:54.3416559Z 2022-11-23T01:37:54.3416563Z 2022-11-23T01:37:54.3416651Z async_compile.wait(globals()) 2022-11-23T01:37:54.3416723Z del async_compile 2022-11-23T01:37:54.3416727Z 2022-11-23T01:37:54.3416796Z def call(args): 2022-11-23T01:37:54.3416853Z arg0_1, = args 2022-11-23T01:37:54.3416925Z args.clear() 2022-11-23T01:37:54.3417185Z buf0 = empty_strided((2, 4, 6, 6), (144, 36, 6, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3417411Z buf1 = empty_strided((2, 4, 16, 16), (1024, 256, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3417576Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:54.3417643Z del arg0_1 2022-11-23T01:37:54.3417752Z buf2 = aten._adaptive_avg_pool2d(buf1, [2, 5]) 2022-11-23T01:37:54.3417805Z del buf1 2022-11-23T01:37:54.3417874Z buf3 = buf2 2022-11-23T01:37:54.3417977Z assert_size_stride(buf3, (2, 4, 2, 5), (40, 10, 5, 1)) 2022-11-23T01:37:54.3418043Z del buf2 2022-11-23T01:37:54.3418118Z return (buf0, buf3, ) 2022-11-23T01:37:54.3418123Z 2022-11-23T01:37:54.3418127Z 2022-11-23T01:37:54.3418201Z if __name__ == "__main__": 2022-11-23T01:37:54.3418313Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.3418423Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.3418649Z arg0_1 = rand_strided((2, 4, 16, 16), (1024, 256, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3418903Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.3419370Z [2022-11-23 01:29:30,110] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rg/crgp4pxiahpx3gvlahhxcc53vtrtgk4bx76lhznpipdosajfvm3x.py 2022-11-23T01:37:54.3419638Z [2022-11-23 01:29:30,111] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 6 2022-11-23T01:37:54.3419877Z [2022-11-23 01:29:30,116] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.3420149Z [2022-11-23 01:29:30,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.3420368Z [2022-11-23 01:29:30,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.3420625Z [2022-11-23 01:29:30,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.3420902Z [2022-11-23 01:29:30,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.3421227Z [2022-11-23 01:29:30,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.3421556Z [2022-11-23 01:29:30,117] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.3421651Z 1916 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.3421764Z 2 LOAD_METHOD 1 (_adaptive_avg_pool2d) 2022-11-23T01:37:54.3421855Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:54.3421945Z 6 LOAD_CONST 1 ((6, 6)) 2022-11-23T01:37:54.3422033Z 8 CALL_METHOD 2 2022-11-23T01:37:54.3422124Z 10 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.3422223Z 12 LOAD_METHOD 1 (_adaptive_avg_pool2d) 2022-11-23T01:37:54.3422228Z 2022-11-23T01:37:54.3422314Z 1917 14 LOAD_FAST 0 (x) 2022-11-23T01:37:54.3422401Z 16 LOAD_CONST 2 (1) 2022-11-23T01:37:54.3422474Z 18 BINARY_ADD 2022-11-23T01:37:54.3422623Z 20 LOAD_CONST 3 ((2, 5)) 2022-11-23T01:37:54.3422714Z 22 CALL_METHOD 2 2022-11-23T01:37:54.3422802Z 24 BUILD_TUPLE 2 2022-11-23T01:37:54.3422864Z 26 RETURN_VALUE 2022-11-23T01:37:54.3422923Z 2022-11-23T01:37:54.3422927Z 2022-11-23T01:37:54.3423201Z [2022-11-23 01:29:30,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1916 2022-11-23T01:37:54.3423420Z [2022-11-23 01:29:30,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.3423804Z [2022-11-23 01:29:30,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TorchVariable()] 2022-11-23T01:37:54.3424081Z [2022-11-23 01:29:30,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten._adaptive_avg_pool2d)] 2022-11-23T01:37:54.3424391Z [2022-11-23 01:29:30,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (6, 6) [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()] 2022-11-23T01:37:54.3424747Z [2022-11-23 01:29:30,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)] 2022-11-23T01:37:54.3424994Z [2022-11-23 01:29:30,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:54.3425354Z [2022-11-23 01:29:30,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.3425616Z [2022-11-23 01:29:30,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1917 2022-11-23T01:37:54.3425916Z [2022-11-23 01:29:30,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d)] 2022-11-23T01:37:54.3426248Z [2022-11-23 01:29:30,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()] 2022-11-23T01:37:54.3426627Z [2022-11-23 01:29:30,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.3426964Z [2022-11-23 01:29:30,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 5) [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()] 2022-11-23T01:37:54.3427344Z [2022-11-23 01:29:30,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)] 2022-11-23T01:37:54.3427619Z [2022-11-23 01:29:30,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.3427869Z [2022-11-23 01:29:30,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.3428289Z [2022-11-23 01:29:30,133] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.3428542Z [2022-11-23 01:29:30,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.3428781Z [2022-11-23 01:29:30,133] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.3429025Z [2022-11-23 01:29:30,134] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.3429277Z [2022-11-23 01:29:30,138] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.3429467Z [2022-11-23 01:29:30,138] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.3429601Z __compiled_fn_7 .59 opcode, name, target, args, kwargs 2022-11-23T01:37:54.3429724Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.3429874Z call_function, _adaptive_avg_pool2d, aten._adaptive_avg_pool2d, (ex_0_, (6, 6)), {} 2022-11-23T01:37:54.3430049Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:54.3430196Z call_function, _adaptive_avg_pool2d_1, aten._adaptive_avg_pool2d, (add, (2, 5)), {} 2022-11-23T01:37:54.3430325Z output, output, output, ((_adaptive_avg_pool2d, _adaptive_avg_pool2d_1),), {} 2022-11-23T01:37:54.3430330Z 2022-11-23T01:37:54.3430611Z [2022-11-23 01:29:30,139] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.3430742Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.3430833Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.3430925Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.3431013Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.3431089Z 8 RETURN_VALUE 2022-11-23T01:37:54.3431097Z 2022-11-23T01:37:54.3431156Z 2022-11-23T01:37:54.3431423Z [2022-11-23 01:29:30,139] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.3431529Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_7) 2022-11-23T01:37:54.3431618Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.3431707Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.3431783Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.3431872Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.3431974Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.3432065Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.3432155Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.3432232Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.3432330Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.3432419Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:54.3432493Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.3432578Z 24 BUILD_TUPLE 2 2022-11-23T01:37:54.3432639Z 26 RETURN_VALUE 2022-11-23T01:37:54.3432657Z 2022-11-23T01:37:54.3432703Z 2022-11-23T01:37:54.3432889Z [2022-11-23 01:29:30,139] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.3432961Z - 2022-11-23T01:37:54.3433083Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.3433147Z { 2022-11-23T01:37:54.3433290Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.3433479Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.3433590Z 'obj_weakref': None 2022-11-23T01:37:54.3433813Z 'guarded_class': 2022-11-23T01:37:54.3433878Z } 2022-11-23T01:37:54.3433941Z 2022-11-23T01:37:54.3434010Z - 2022-11-23T01:37:54.3434139Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.3434201Z { 2022-11-23T01:37:54.3434333Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.3434441Z 'code': None, 2022-11-23T01:37:54.3434656Z 'obj_weakref': 2022-11-23T01:37:54.3434913Z 'guarded_class': 2022-11-23T01:37:54.3434976Z } 2022-11-23T01:37:54.3435039Z 2022-11-23T01:37:54.3435110Z - 2022-11-23T01:37:54.3435234Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.3435297Z { 2022-11-23T01:37:54.3435432Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.3435603Z 'code': ['___check_obj_id(model, 140539114129312)'], 2022-11-23T01:37:54.3435722Z 'obj_weakref': None 2022-11-23T01:37:54.3435983Z 'guarded_class': 2022-11-23T01:37:54.3436050Z } 2022-11-23T01:37:54.3436099Z 2022-11-23T01:37:54.3436172Z - 2022-11-23T01:37:54.3436296Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.3436359Z { 2022-11-23T01:37:54.3436498Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.3436720Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.3436839Z 'obj_weakref': None 2022-11-23T01:37:54.3437048Z 'guarded_class': 2022-11-23T01:37:54.3437146Z } 2022-11-23T01:37:54.3437209Z 2022-11-23T01:37:54.3437284Z - 2022-11-23T01:37:54.3437416Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.3437479Z { 2022-11-23T01:37:54.3437587Z 'guard_types': None, 2022-11-23T01:37:54.3437699Z 'code': None, 2022-11-23T01:37:54.3437822Z 'obj_weakref': None 2022-11-23T01:37:54.3437945Z 'guarded_class': None 2022-11-23T01:37:54.3438007Z } 2022-11-23T01:37:54.3438069Z 2022-11-23T01:37:54.3438327Z [2022-11-23 01:29:30,146] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 7 2022-11-23T01:37:54.3438332Z 2022-11-23T01:37:54.3438337Z 2022-11-23T01:37:54.3438429Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.3438484Z import torch 2022-11-23T01:37:54.3438552Z import random 2022-11-23T01:37:54.3438664Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.3438788Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.3438794Z 2022-11-23T01:37:54.3438871Z aten = torch.ops.aten 2022-11-23T01:37:54.3439004Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.3439094Z async_compile = AsyncCompile() 2022-11-23T01:37:54.3439099Z 2022-11-23T01:37:54.3439105Z 2022-11-23T01:37:54.3439240Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.3439435Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.3439552Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.3439650Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.3439747Z float* __restrict__ out_ptr1) 2022-11-23T01:37:54.3439806Z { 2022-11-23T01:37:54.3439881Z #pragma GCC ivdep 2022-11-23T01:37:54.3439961Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:54.3440013Z { 2022-11-23T01:37:54.3440089Z #pragma GCC ivdep 2022-11-23T01:37:54.3440171Z for(long i1=0; i1<6; i1+=1) 2022-11-23T01:37:54.3440233Z { 2022-11-23T01:37:54.3440310Z #pragma GCC ivdep 2022-11-23T01:37:54.3440391Z for(long i2=0; i2<6; i2+=1) 2022-11-23T01:37:54.3440452Z { 2022-11-23T01:37:54.3440503Z { 2022-11-23T01:37:54.3440569Z { 2022-11-23T01:37:54.3440676Z auto tmp0 = static_cast((i1 / 2)); 2022-11-23T01:37:54.3440792Z auto tmp1 = static_cast(((8 + (3*i1)) / 6)); 2022-11-23T01:37:54.3440885Z auto tmp2 = tmp0 < tmp1; 2022-11-23T01:37:54.3440992Z auto tmp3 = static_cast((i2 / 2)); 2022-11-23T01:37:54.3441105Z auto tmp4 = static_cast(((8 + (3*i2)) / 6)); 2022-11-23T01:37:54.3441183Z auto tmp5 = tmp3 < tmp4; 2022-11-23T01:37:54.3441275Z auto tmp6 = tmp2 & tmp5; 2022-11-23T01:37:54.3441358Z float tmp7 = 0.0; 2022-11-23T01:37:54.3441432Z if(tmp6) 2022-11-23T01:37:54.3441501Z { 2022-11-23T01:37:54.3441615Z auto tmp8 = in_ptr0[(3*(i1 / 2)) + (9*i0) + (i2 / 2)]; 2022-11-23T01:37:54.3441729Z tmp7 = tmp8; 2022-11-23T01:37:54.3441787Z } 2022-11-23T01:37:54.3441899Z auto tmp9 = static_cast(1 + (i2 / 2)); 2022-11-23T01:37:54.3441994Z auto tmp10 = tmp9 < tmp4; 2022-11-23T01:37:54.3442087Z auto tmp11 = tmp2 & tmp10; 2022-11-23T01:37:54.3442170Z float tmp12 = 0.0; 2022-11-23T01:37:54.3442244Z if(tmp11) 2022-11-23T01:37:54.3442312Z { 2022-11-23T01:37:54.3442415Z auto tmp13 = in_ptr0[1 + (3*(i1 / 2)) + (9*i0) + (i2 / 2)]; 2022-11-23T01:37:54.3442530Z tmp12 = tmp13; 2022-11-23T01:37:54.3442598Z } 2022-11-23T01:37:54.3442691Z auto tmp14 = tmp12 + tmp7; 2022-11-23T01:37:54.3442803Z auto tmp15 = static_cast(1 + (i1 / 2)); 2022-11-23T01:37:54.3442895Z auto tmp16 = tmp15 < tmp1; 2022-11-23T01:37:54.3442985Z auto tmp17 = tmp16 & tmp5; 2022-11-23T01:37:54.3443058Z float tmp18 = 0.0; 2022-11-23T01:37:54.3443133Z if(tmp17) 2022-11-23T01:37:54.3443198Z { 2022-11-23T01:37:54.3443313Z auto tmp19 = in_ptr0[3 + (3*(i1 / 2)) + (9*i0) + (i2 / 2)]; 2022-11-23T01:37:54.3443397Z tmp18 = tmp19; 2022-11-23T01:37:54.3443462Z } 2022-11-23T01:37:54.3443553Z auto tmp20 = tmp18 + tmp14; 2022-11-23T01:37:54.3443644Z auto tmp21 = tmp16 & tmp10; 2022-11-23T01:37:54.3443715Z float tmp22 = 0.0; 2022-11-23T01:37:54.3443789Z if(tmp21) 2022-11-23T01:37:54.3443856Z { 2022-11-23T01:37:54.3443969Z auto tmp23 = in_ptr0[4 + (3*(i1 / 2)) + (9*i0) + (i2 / 2)]; 2022-11-23T01:37:54.3444051Z tmp22 = tmp23; 2022-11-23T01:37:54.3444119Z } 2022-11-23T01:37:54.3444210Z auto tmp24 = tmp22 + tmp20; 2022-11-23T01:37:54.3444280Z float tmp25 = 0.0; 2022-11-23T01:37:54.3444355Z if(tmp6) 2022-11-23T01:37:54.3444421Z { 2022-11-23T01:37:54.3444528Z auto tmp26 = static_cast(1); 2022-11-23T01:37:54.3444608Z tmp25 = tmp26; 2022-11-23T01:37:54.3444673Z } 2022-11-23T01:37:54.3444756Z float tmp27 = 0.0; 2022-11-23T01:37:54.3444821Z if(tmp11) 2022-11-23T01:37:54.3444889Z { 2022-11-23T01:37:54.3444994Z auto tmp28 = static_cast(1); 2022-11-23T01:37:54.3445074Z tmp27 = tmp28; 2022-11-23T01:37:54.3445139Z } 2022-11-23T01:37:54.3445234Z auto tmp29 = tmp27 + tmp25; 2022-11-23T01:37:54.3445318Z float tmp30 = 0.0; 2022-11-23T01:37:54.3445380Z if(tmp17) 2022-11-23T01:37:54.3445445Z { 2022-11-23T01:37:54.3445550Z auto tmp31 = static_cast(1); 2022-11-23T01:37:54.3445630Z tmp30 = tmp31; 2022-11-23T01:37:54.3445697Z } 2022-11-23T01:37:54.3445790Z auto tmp32 = tmp30 + tmp29; 2022-11-23T01:37:54.3445872Z float tmp33 = 0.0; 2022-11-23T01:37:54.3445936Z if(tmp21) 2022-11-23T01:37:54.3446000Z { 2022-11-23T01:37:54.3446104Z auto tmp34 = static_cast(1); 2022-11-23T01:37:54.3446184Z tmp33 = tmp34; 2022-11-23T01:37:54.3446251Z } 2022-11-23T01:37:54.3446342Z auto tmp35 = tmp33 + tmp32; 2022-11-23T01:37:54.3446466Z auto tmp36 = tmp24 / tmp35; 2022-11-23T01:37:54.3446557Z out_ptr0[i2 + (6*i1) + (36*i0)] = tmp36; 2022-11-23T01:37:54.3446624Z } 2022-11-23T01:37:54.3446687Z } 2022-11-23T01:37:54.3446825Z } 2022-11-23T01:37:54.3446920Z } 2022-11-23T01:37:54.3447014Z } 2022-11-23T01:37:54.3447104Z #pragma GCC ivdep 2022-11-23T01:37:54.3447350Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:54.3447444Z { 2022-11-23T01:37:54.3447509Z #pragma GCC ivdep 2022-11-23T01:37:54.3447692Z for(long i1=0; i1<2; i1+=1) 2022-11-23T01:37:54.3447793Z { 2022-11-23T01:37:54.3447902Z #pragma GCC ivdep 2022-11-23T01:37:54.3448015Z for(long i2=0; i2<5; i2+=1) 2022-11-23T01:37:54.3448109Z { 2022-11-23T01:37:54.3448202Z { 2022-11-23T01:37:54.3448255Z { 2022-11-23T01:37:54.3448430Z auto tmp0 = static_cast(((3*i1) / 2)); 2022-11-23T01:37:54.3448576Z auto tmp1 = static_cast(2 + (((3*i1) / 2))); 2022-11-23T01:37:54.3448707Z auto tmp2 = tmp0 < tmp1; 2022-11-23T01:37:54.3448846Z auto tmp3 = static_cast(((3*i2) / 5)); 2022-11-23T01:37:54.3448987Z auto tmp4 = static_cast(((7 + (3*i2)) / 5)); 2022-11-23T01:37:54.3449106Z auto tmp5 = tmp3 < tmp4; 2022-11-23T01:37:54.3449186Z auto tmp6 = tmp2 & tmp5; 2022-11-23T01:37:54.3449298Z float tmp7 = 0.0; 2022-11-23T01:37:54.3449406Z if(tmp6) 2022-11-23T01:37:54.3449527Z { 2022-11-23T01:37:54.3449721Z auto tmp8 = in_ptr0[(3*(((3*i1) / 2))) + (9*i0) + (((3*i2) / 5))]; 2022-11-23T01:37:54.3449861Z auto tmp9 = static_cast(1); 2022-11-23T01:37:54.3449991Z auto tmp10 = tmp8 + tmp9; 2022-11-23T01:37:54.3450061Z tmp7 = tmp10; 2022-11-23T01:37:54.3450157Z } 2022-11-23T01:37:54.3450300Z auto tmp11 = static_cast(1 + (((3*i2) / 5))); 2022-11-23T01:37:54.3450427Z auto tmp12 = tmp11 < tmp4; 2022-11-23T01:37:54.3450549Z auto tmp13 = tmp2 & tmp12; 2022-11-23T01:37:54.3450693Z float tmp14 = 0.0; 2022-11-23T01:37:54.3450802Z if(tmp13) 2022-11-23T01:37:54.3450858Z { 2022-11-23T01:37:54.3451013Z auto tmp15 = in_ptr0[1 + (3*(((3*i1) / 2))) + (9*i0) + (((3*i2) / 5))]; 2022-11-23T01:37:54.3451150Z auto tmp16 = static_cast(1); 2022-11-23T01:37:54.3451278Z auto tmp17 = tmp15 + tmp16; 2022-11-23T01:37:54.3451389Z tmp14 = tmp17; 2022-11-23T01:37:54.3451488Z } 2022-11-23T01:37:54.3451618Z auto tmp18 = tmp14 + tmp7; 2022-11-23T01:37:54.3451784Z auto tmp19 = static_cast(1 + (((3*i1) / 2))); 2022-11-23T01:37:54.3451868Z auto tmp20 = tmp19 < tmp1; 2022-11-23T01:37:54.3452027Z auto tmp21 = tmp20 & tmp5; 2022-11-23T01:37:54.3452143Z float tmp22 = 0.0; 2022-11-23T01:37:54.3452248Z if(tmp21) 2022-11-23T01:37:54.3452345Z { 2022-11-23T01:37:54.3452496Z auto tmp23 = in_ptr0[3 + (3*(((3*i1) / 2))) + (9*i0) + (((3*i2) / 5))]; 2022-11-23T01:37:54.3452643Z auto tmp24 = static_cast(1); 2022-11-23T01:37:54.3452729Z auto tmp25 = tmp23 + tmp24; 2022-11-23T01:37:54.3452839Z tmp22 = tmp25; 2022-11-23T01:37:54.3452957Z } 2022-11-23T01:37:54.3453137Z auto tmp26 = tmp22 + tmp18; 2022-11-23T01:37:54.3453259Z auto tmp27 = tmp20 & tmp12; 2022-11-23T01:37:54.3453372Z float tmp28 = 0.0; 2022-11-23T01:37:54.3453483Z if(tmp27) 2022-11-23T01:37:54.3453539Z { 2022-11-23T01:37:54.3453690Z auto tmp29 = in_ptr0[4 + (3*(((3*i1) / 2))) + (9*i0) + (((3*i2) / 5))]; 2022-11-23T01:37:54.3453826Z auto tmp30 = static_cast(1); 2022-11-23T01:37:54.3453950Z auto tmp31 = tmp29 + tmp30; 2022-11-23T01:37:54.3454144Z tmp28 = tmp31; 2022-11-23T01:37:54.3454244Z } 2022-11-23T01:37:54.3454370Z auto tmp32 = tmp28 + tmp26; 2022-11-23T01:37:54.3454492Z float tmp33 = 0.0; 2022-11-23T01:37:54.3454554Z if(tmp6) 2022-11-23T01:37:54.3454652Z { 2022-11-23T01:37:54.3454790Z auto tmp34 = static_cast(1); 2022-11-23T01:37:54.3454898Z tmp33 = tmp34; 2022-11-23T01:37:54.3454995Z } 2022-11-23T01:37:54.3455128Z float tmp35 = 0.0; 2022-11-23T01:37:54.3455234Z if(tmp13) 2022-11-23T01:37:54.3455289Z { 2022-11-23T01:37:54.3455430Z auto tmp36 = static_cast(1); 2022-11-23T01:37:54.3455537Z tmp35 = tmp36; 2022-11-23T01:37:54.3455633Z } 2022-11-23T01:37:54.3455760Z auto tmp37 = tmp35 + tmp33; 2022-11-23T01:37:54.3455870Z float tmp38 = 0.0; 2022-11-23T01:37:54.3456002Z if(tmp21) 2022-11-23T01:37:54.3456057Z { 2022-11-23T01:37:54.3456209Z auto tmp39 = static_cast(1); 2022-11-23T01:37:54.3456330Z tmp38 = tmp39; 2022-11-23T01:37:54.3456427Z } 2022-11-23T01:37:54.3456550Z auto tmp40 = tmp38 + tmp37; 2022-11-23T01:37:54.3456660Z float tmp41 = 0.0; 2022-11-23T01:37:54.3456763Z if(tmp27) 2022-11-23T01:37:54.3456817Z { 2022-11-23T01:37:54.3456951Z auto tmp42 = static_cast(1); 2022-11-23T01:37:54.3457062Z tmp41 = tmp42; 2022-11-23T01:37:54.3457185Z } 2022-11-23T01:37:54.3457312Z auto tmp43 = tmp41 + tmp40; 2022-11-23T01:37:54.3457432Z auto tmp44 = tmp32 / tmp43; 2022-11-23T01:37:54.3457562Z out_ptr1[i2 + (5*i1) + (10*i0)] = tmp44; 2022-11-23T01:37:54.3457616Z } 2022-11-23T01:37:54.3457709Z } 2022-11-23T01:37:54.3457802Z } 2022-11-23T01:37:54.3457925Z } 2022-11-23T01:37:54.3458025Z } 2022-11-23T01:37:54.3458135Z } 2022-11-23T01:37:54.3458228Z ''') 2022-11-23T01:37:54.3458278Z 2022-11-23T01:37:54.3458283Z 2022-11-23T01:37:54.3458364Z async_compile.wait(globals()) 2022-11-23T01:37:54.3458465Z del async_compile 2022-11-23T01:37:54.3458470Z 2022-11-23T01:37:54.3458573Z def call(args): 2022-11-23T01:37:54.3458670Z arg0_1, = args 2022-11-23T01:37:54.3458957Z args.clear() 2022-11-23T01:37:54.3459292Z buf0 = empty_strided((2, 4, 6, 6), (144, 36, 6, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3459540Z buf1 = empty_strided((2, 4, 2, 5), (40, 10, 5, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3459696Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:54.3459826Z del arg0_1 2022-11-23T01:37:54.3459933Z return (buf0, buf1, ) 2022-11-23T01:37:54.3459937Z 2022-11-23T01:37:54.3459941Z 2022-11-23T01:37:54.3460108Z if __name__ == "__main__": 2022-11-23T01:37:54.3460256Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.3460417Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.3460706Z arg0_1 = rand_strided((2, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3460847Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.3461211Z [2022-11-23 01:29:31,809] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/z4/cz4vbdnv37hgqaivlxppcl534uuhvhjbemdlryziknpzmnpfiela.py 2022-11-23T01:37:54.3461507Z [2022-11-23 01:29:31,809] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 7 2022-11-23T01:37:54.3461856Z [2022-11-23 01:29:31,815] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.3462158Z [2022-11-23 01:29:31,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.3462411Z [2022-11-23 01:29:31,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.3462707Z [2022-11-23 01:29:31,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.3463026Z [2022-11-23 01:29:31,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.3463382Z [2022-11-23 01:29:31,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.3463744Z [2022-11-23 01:29:31,816] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.3463872Z 1916 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.3463973Z 2 LOAD_METHOD 1 (_adaptive_avg_pool2d) 2022-11-23T01:37:54.3464114Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:54.3464240Z 6 LOAD_CONST 1 ((6, 6)) 2022-11-23T01:37:54.3464365Z 8 CALL_METHOD 2 2022-11-23T01:37:54.3464487Z 10 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.3464654Z 12 LOAD_METHOD 1 (_adaptive_avg_pool2d) 2022-11-23T01:37:54.3464660Z 2022-11-23T01:37:54.3464776Z 1917 14 LOAD_FAST 0 (x) 2022-11-23T01:37:54.3464851Z 16 LOAD_CONST 2 (1) 2022-11-23T01:37:54.3464955Z 18 BINARY_ADD 2022-11-23T01:37:54.3465079Z 20 LOAD_CONST 3 ((2, 5)) 2022-11-23T01:37:54.3465220Z 22 CALL_METHOD 2 2022-11-23T01:37:54.3465349Z 24 BUILD_TUPLE 2 2022-11-23T01:37:54.3465454Z 26 RETURN_VALUE 2022-11-23T01:37:54.3465545Z 2022-11-23T01:37:54.3465550Z 2022-11-23T01:37:54.3465854Z [2022-11-23 01:29:31,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1916 2022-11-23T01:37:54.3466062Z [2022-11-23 01:29:31,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.3466427Z [2022-11-23 01:29:31,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TorchVariable()] 2022-11-23T01:37:54.3466735Z [2022-11-23 01:29:31,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten._adaptive_avg_pool2d)] 2022-11-23T01:37:54.3467077Z [2022-11-23 01:29:31,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (6, 6) [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()] 2022-11-23T01:37:54.3467495Z [2022-11-23 01:29:31,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)] 2022-11-23T01:37:54.3467776Z [2022-11-23 01:29:31,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:54.3468288Z [2022-11-23 01:29:31,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.3468630Z [2022-11-23 01:29:31,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1917 2022-11-23T01:37:54.3468965Z [2022-11-23 01:29:31,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d)] 2022-11-23T01:37:54.3469328Z [2022-11-23 01:29:31,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()] 2022-11-23T01:37:54.3469776Z [2022-11-23 01:29:31,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.3470109Z [2022-11-23 01:29:31,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 5) [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()] 2022-11-23T01:37:54.3470526Z [2022-11-23 01:29:31,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)] 2022-11-23T01:37:54.3470853Z [2022-11-23 01:29:31,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.3471141Z [2022-11-23 01:29:31,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.3471512Z [2022-11-23 01:29:31,831] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.3471792Z [2022-11-23 01:29:31,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.3472064Z [2022-11-23 01:29:31,831] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.3472360Z [2022-11-23 01:29:31,833] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.3472641Z [2022-11-23 01:29:31,836] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.3472862Z [2022-11-23 01:29:31,837] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.3472983Z __compiled_fn_8 .65 opcode, name, target, args, kwargs 2022-11-23T01:37:54.3473125Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.3473306Z call_function, _adaptive_avg_pool2d, aten._adaptive_avg_pool2d, (ex_0_, (6, 6)), {} 2022-11-23T01:37:54.3473540Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:54.3473717Z call_function, _adaptive_avg_pool2d_1, aten._adaptive_avg_pool2d, (add, (2, 5)), {} 2022-11-23T01:37:54.3473897Z output, output, output, ((_adaptive_avg_pool2d, _adaptive_avg_pool2d_1),), {} 2022-11-23T01:37:54.3473905Z 2022-11-23T01:37:54.3474214Z [2022-11-23 01:29:31,837] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.3474336Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.3474414Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.3474537Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.3474676Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.3474785Z 8 RETURN_VALUE 2022-11-23T01:37:54.3474791Z 2022-11-23T01:37:54.3474879Z 2022-11-23T01:37:54.3475202Z [2022-11-23 01:29:31,837] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.3475339Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_8) 2022-11-23T01:37:54.3475458Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.3475534Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.3475748Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.3475869Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.3476060Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.3476191Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.3476309Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.3476414Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.3476501Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.3476620Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:54.3476761Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.3476878Z 24 BUILD_TUPLE 2 2022-11-23T01:37:54.3476996Z 26 RETURN_VALUE 2022-11-23T01:37:54.3477001Z 2022-11-23T01:37:54.3477117Z 2022-11-23T01:37:54.3477336Z [2022-11-23 01:29:31,838] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.3477396Z - 2022-11-23T01:37:54.3477548Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.3477641Z { 2022-11-23T01:37:54.3477813Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.3478034Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.3478193Z 'obj_weakref': None 2022-11-23T01:37:54.3478494Z 'guarded_class': 2022-11-23T01:37:54.3478547Z } 2022-11-23T01:37:54.3478663Z 2022-11-23T01:37:54.3478765Z - 2022-11-23T01:37:54.3478921Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.3479017Z { 2022-11-23T01:37:54.3479191Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.3479339Z 'code': None, 2022-11-23T01:37:54.3479544Z 'obj_weakref': 2022-11-23T01:37:54.3479831Z 'guarded_class': 2022-11-23T01:37:54.3479925Z } 2022-11-23T01:37:54.3480040Z 2022-11-23T01:37:54.3480144Z - 2022-11-23T01:37:54.3480307Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.3480401Z { 2022-11-23T01:37:54.3480525Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.3480733Z 'code': ['___check_obj_id(model, 140539114129312)'], 2022-11-23T01:37:54.3480883Z 'obj_weakref': None 2022-11-23T01:37:54.3481149Z 'guarded_class': 2022-11-23T01:37:54.3481271Z } 2022-11-23T01:37:54.3481382Z 2022-11-23T01:37:54.3481485Z - 2022-11-23T01:37:54.3481597Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.3481690Z { 2022-11-23T01:37:54.3481867Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.3482121Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.3482271Z 'obj_weakref': None 2022-11-23T01:37:54.3482524Z 'guarded_class': 2022-11-23T01:37:54.3482617Z } 2022-11-23T01:37:54.3482667Z 2022-11-23T01:37:54.3482787Z - 2022-11-23T01:37:54.3482948Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.3483049Z { 2022-11-23T01:37:54.3483200Z 'guard_types': None, 2022-11-23T01:37:54.3483338Z 'code': None, 2022-11-23T01:37:54.3483491Z 'obj_weakref': None 2022-11-23T01:37:54.3483603Z 'guarded_class': None 2022-11-23T01:37:54.3483728Z } 2022-11-23T01:37:54.3483819Z 2022-11-23T01:37:54.3484130Z [2022-11-23 01:29:31,844] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 8 2022-11-23T01:37:54.3484136Z 2022-11-23T01:37:54.3484140Z 2022-11-23T01:37:54.3484303Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.3484403Z import torch 2022-11-23T01:37:54.3484504Z import random 2022-11-23T01:37:54.3484605Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.3484757Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.3484764Z 2022-11-23T01:37:54.3484870Z aten = torch.ops.aten 2022-11-23T01:37:54.3485035Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.3485164Z async_compile = AsyncCompile() 2022-11-23T01:37:54.3485169Z 2022-11-23T01:37:54.3485174Z 2022-11-23T01:37:54.3485391Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.3485629Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.3485778Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.3485865Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.3485992Z float* __restrict__ out_ptr1) 2022-11-23T01:37:54.3486081Z { 2022-11-23T01:37:54.3486229Z #pragma GCC ivdep 2022-11-23T01:37:54.3486346Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:54.3486434Z { 2022-11-23T01:37:54.3486561Z #pragma GCC ivdep 2022-11-23T01:37:54.3486635Z for(long i1=0; i1<2; i1+=1) 2022-11-23T01:37:54.3486727Z { 2022-11-23T01:37:54.3486837Z #pragma GCC ivdep 2022-11-23T01:37:54.3486951Z for(long i2=0; i2<5; i2+=1) 2022-11-23T01:37:54.3487044Z { 2022-11-23T01:37:54.3487144Z { 2022-11-23T01:37:54.3487239Z { 2022-11-23T01:37:54.3487337Z auto tmp0 = static_cast(3*i1); 2022-11-23T01:37:54.3487477Z auto tmp1 = static_cast(3 + (3*i1)); 2022-11-23T01:37:54.3487619Z auto tmp2 = tmp0 < tmp1; 2022-11-23T01:37:54.3487761Z auto tmp3 = static_cast(((6*i2) / 5)); 2022-11-23T01:37:54.3487906Z auto tmp4 = static_cast(2 + (((6*i2) / 5))); 2022-11-23T01:37:54.3488029Z auto tmp5 = tmp3 < tmp4; 2022-11-23T01:37:54.3488185Z auto tmp6 = tmp2 & tmp5; 2022-11-23T01:37:54.3488257Z float tmp7 = 0.0; 2022-11-23T01:37:54.3488363Z if(tmp6) 2022-11-23T01:37:54.3488459Z { 2022-11-23T01:37:54.3488605Z auto tmp8 = in_ptr0[(18*i1) + (36*i0) + (((6*i2) / 5))]; 2022-11-23T01:37:54.3488763Z auto tmp9 = static_cast(1); 2022-11-23T01:37:54.3488894Z auto tmp10 = tmp8 + tmp9; 2022-11-23T01:37:54.3489004Z tmp7 = tmp10; 2022-11-23T01:37:54.3489059Z } 2022-11-23T01:37:54.3489210Z auto tmp11 = static_cast(1 + (((6*i2) / 5))); 2022-11-23T01:37:54.3489331Z auto tmp12 = tmp11 < tmp4; 2022-11-23T01:37:54.3489454Z auto tmp13 = tmp2 & tmp12; 2022-11-23T01:37:54.3489569Z float tmp14 = 0.0; 2022-11-23T01:37:54.3489675Z if(tmp13) 2022-11-23T01:37:54.3489794Z { 2022-11-23T01:37:54.3489940Z auto tmp15 = in_ptr0[1 + (18*i1) + (36*i0) + (((6*i2) / 5))]; 2022-11-23T01:37:54.3490037Z auto tmp16 = static_cast(1); 2022-11-23T01:37:54.3490168Z auto tmp17 = tmp15 + tmp16; 2022-11-23T01:37:54.3490280Z tmp14 = tmp17; 2022-11-23T01:37:54.3490412Z } 2022-11-23T01:37:54.3490534Z auto tmp18 = tmp14 + tmp7; 2022-11-23T01:37:54.3490671Z auto tmp19 = static_cast(1 + (3*i1)); 2022-11-23T01:37:54.3490794Z auto tmp20 = tmp19 < tmp1; 2022-11-23T01:37:54.3490870Z auto tmp21 = tmp20 & tmp5; 2022-11-23T01:37:54.3491044Z float tmp22 = 0.0; 2022-11-23T01:37:54.3491153Z if(tmp21) 2022-11-23T01:37:54.3491250Z { 2022-11-23T01:37:54.3491395Z auto tmp23 = in_ptr0[6 + (18*i1) + (36*i0) + (((6*i2) / 5))]; 2022-11-23T01:37:54.3491533Z auto tmp24 = static_cast(1); 2022-11-23T01:37:54.3491664Z auto tmp25 = tmp23 + tmp24; 2022-11-23T01:37:54.3491734Z tmp22 = tmp25; 2022-11-23T01:37:54.3491834Z } 2022-11-23T01:37:54.3491996Z auto tmp26 = tmp22 + tmp18; 2022-11-23T01:37:54.3492136Z auto tmp27 = tmp20 & tmp12; 2022-11-23T01:37:54.3492250Z float tmp28 = 0.0; 2022-11-23T01:37:54.3492386Z if(tmp27) 2022-11-23T01:37:54.3492481Z { 2022-11-23T01:37:54.3492586Z auto tmp29 = in_ptr0[7 + (18*i1) + (36*i0) + (((6*i2) / 5))]; 2022-11-23T01:37:54.3492722Z auto tmp30 = static_cast(1); 2022-11-23T01:37:54.3492847Z auto tmp31 = tmp29 + tmp30; 2022-11-23T01:37:54.3492967Z tmp28 = tmp31; 2022-11-23T01:37:54.3493062Z } 2022-11-23T01:37:54.3493204Z auto tmp32 = tmp28 + tmp26; 2022-11-23T01:37:54.3493345Z auto tmp33 = static_cast(2 + (3*i1)); 2022-11-23T01:37:54.3493469Z auto tmp34 = tmp33 < tmp1; 2022-11-23T01:37:54.3493551Z auto tmp35 = tmp34 & tmp5; 2022-11-23T01:37:54.3493664Z float tmp36 = 0.0; 2022-11-23T01:37:54.3493769Z if(tmp35) 2022-11-23T01:37:54.3493873Z { 2022-11-23T01:37:54.3494019Z auto tmp37 = in_ptr0[12 + (18*i1) + (36*i0) + (((6*i2) / 5))]; 2022-11-23T01:37:54.3494156Z auto tmp38 = static_cast(1); 2022-11-23T01:37:54.3494300Z auto tmp39 = tmp37 + tmp38; 2022-11-23T01:37:54.3494371Z tmp36 = tmp39; 2022-11-23T01:37:54.3494468Z } 2022-11-23T01:37:54.3494616Z auto tmp40 = tmp36 + tmp32; 2022-11-23T01:37:54.3494735Z auto tmp41 = tmp34 & tmp12; 2022-11-23T01:37:54.3494857Z float tmp42 = 0.0; 2022-11-23T01:37:54.3494960Z if(tmp41) 2022-11-23T01:37:54.3495056Z { 2022-11-23T01:37:54.3495162Z auto tmp43 = in_ptr0[13 + (18*i1) + (36*i0) + (((6*i2) / 5))]; 2022-11-23T01:37:54.3495299Z auto tmp44 = static_cast(1); 2022-11-23T01:37:54.3495444Z auto tmp45 = tmp43 + tmp44; 2022-11-23T01:37:54.3495556Z tmp42 = tmp45; 2022-11-23T01:37:54.3495657Z } 2022-11-23T01:37:54.3495788Z auto tmp46 = tmp42 + tmp40; 2022-11-23T01:37:54.3495912Z auto tmp47 = tmp1 < tmp1; 2022-11-23T01:37:54.3496034Z auto tmp48 = tmp47 & tmp5; 2022-11-23T01:37:54.3496107Z float tmp49 = 0.0; 2022-11-23T01:37:54.3496211Z if(tmp48) 2022-11-23T01:37:54.3496308Z { 2022-11-23T01:37:54.3496474Z auto tmp50 = in_ptr0[18 + (18*i1) + (36*i0) + (((6*i2) / 5))]; 2022-11-23T01:37:54.3496639Z auto tmp51 = static_cast(1); 2022-11-23T01:37:54.3496776Z auto tmp52 = tmp50 + tmp51; 2022-11-23T01:37:54.3496886Z tmp49 = tmp52; 2022-11-23T01:37:54.3496940Z } 2022-11-23T01:37:54.3497063Z auto tmp53 = tmp49 + tmp46; 2022-11-23T01:37:54.3497213Z auto tmp54 = tmp47 & tmp12; 2022-11-23T01:37:54.3497327Z float tmp55 = 0.0; 2022-11-23T01:37:54.3497431Z if(tmp54) 2022-11-23T01:37:54.3497556Z { 2022-11-23T01:37:54.3497703Z auto tmp56 = in_ptr0[19 + (18*i1) + (36*i0) + (((6*i2) / 5))]; 2022-11-23T01:37:54.3497798Z auto tmp57 = static_cast(1); 2022-11-23T01:37:54.3497926Z auto tmp58 = tmp56 + tmp57; 2022-11-23T01:37:54.3498037Z tmp55 = tmp58; 2022-11-23T01:37:54.3498133Z } 2022-11-23T01:37:54.3498290Z auto tmp59 = tmp55 + tmp53; 2022-11-23T01:37:54.3498403Z float tmp60 = 0.0; 2022-11-23T01:37:54.3498518Z if(tmp6) 2022-11-23T01:37:54.3498574Z { 2022-11-23T01:37:54.3498904Z auto tmp61 = static_cast(1); 2022-11-23T01:37:54.3499090Z tmp60 = tmp61; 2022-11-23T01:37:54.3499198Z } 2022-11-23T01:37:54.3499312Z float tmp62 = 0.0; 2022-11-23T01:37:54.3499417Z if(tmp13) 2022-11-23T01:37:54.3499512Z { 2022-11-23T01:37:54.3499605Z auto tmp63 = static_cast(1); 2022-11-23T01:37:54.3499724Z tmp62 = tmp63; 2022-11-23T01:37:54.3499820Z } 2022-11-23T01:37:54.3499966Z auto tmp64 = tmp62 + tmp60; 2022-11-23T01:37:54.3500082Z float tmp65 = 0.0; 2022-11-23T01:37:54.3500188Z if(tmp21) 2022-11-23T01:37:54.3500283Z { 2022-11-23T01:37:54.3500377Z auto tmp66 = static_cast(1); 2022-11-23T01:37:54.3500486Z tmp65 = tmp66; 2022-11-23T01:37:54.3500589Z } 2022-11-23T01:37:54.3500715Z auto tmp67 = tmp65 + tmp64; 2022-11-23T01:37:54.3500858Z float tmp68 = 0.0; 2022-11-23T01:37:54.3500982Z if(tmp27) 2022-11-23T01:37:54.3501081Z { 2022-11-23T01:37:54.3501173Z auto tmp69 = static_cast(1); 2022-11-23T01:37:54.3501282Z tmp68 = tmp69; 2022-11-23T01:37:54.3501378Z } 2022-11-23T01:37:54.3501509Z auto tmp70 = tmp68 + tmp67; 2022-11-23T01:37:54.3501622Z float tmp71 = 0.0; 2022-11-23T01:37:54.3501728Z if(tmp35) 2022-11-23T01:37:54.3501824Z { 2022-11-23T01:37:54.3501918Z auto tmp72 = static_cast(1); 2022-11-23T01:37:54.3502052Z tmp71 = tmp72; 2022-11-23T01:37:54.3502146Z } 2022-11-23T01:37:54.3502272Z auto tmp73 = tmp71 + tmp70; 2022-11-23T01:37:54.3502390Z float tmp74 = 0.0; 2022-11-23T01:37:54.3502495Z if(tmp41) 2022-11-23T01:37:54.3502591Z { 2022-11-23T01:37:54.3502685Z auto tmp75 = static_cast(1); 2022-11-23T01:37:54.3502792Z tmp74 = tmp75; 2022-11-23T01:37:54.3502916Z } 2022-11-23T01:37:54.3503057Z auto tmp76 = tmp74 + tmp73; 2022-11-23T01:37:54.3503171Z float tmp77 = 0.0; 2022-11-23T01:37:54.3503284Z if(tmp48) 2022-11-23T01:37:54.3503381Z { 2022-11-23T01:37:54.3503473Z auto tmp78 = static_cast(1); 2022-11-23T01:37:54.3503585Z tmp77 = tmp78; 2022-11-23T01:37:54.3503679Z } 2022-11-23T01:37:54.3503804Z auto tmp79 = tmp77 + tmp76; 2022-11-23T01:37:54.3503979Z float tmp80 = 0.0; 2022-11-23T01:37:54.3504112Z if(tmp54) 2022-11-23T01:37:54.3504211Z { 2022-11-23T01:37:54.3504303Z auto tmp81 = static_cast(1); 2022-11-23T01:37:54.3504414Z tmp80 = tmp81; 2022-11-23T01:37:54.3504508Z } 2022-11-23T01:37:54.3504630Z auto tmp82 = tmp80 + tmp79; 2022-11-23T01:37:54.3504753Z auto tmp83 = tmp59 / tmp82; 2022-11-23T01:37:54.3504915Z out_ptr0[i2 + (5*i1) + (10*i0)] = tmp83; 2022-11-23T01:37:54.3505058Z } 2022-11-23T01:37:54.3505171Z } 2022-11-23T01:37:54.3505225Z } 2022-11-23T01:37:54.3505316Z } 2022-11-23T01:37:54.3505408Z } 2022-11-23T01:37:54.3505517Z for(long i0=0; i0<36; i0+=1) 2022-11-23T01:37:54.3505606Z { 2022-11-23T01:37:54.3505787Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:54.3505865Z tmp0.store(out_ptr1 + 8*i0); 2022-11-23T01:37:54.3505962Z } 2022-11-23T01:37:54.3506079Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.3506210Z for(long i0=288; i0<288; i0+=1) 2022-11-23T01:37:54.3506300Z { 2022-11-23T01:37:54.3506408Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.3506512Z out_ptr1[i0] = tmp0; 2022-11-23T01:37:54.3506559Z } 2022-11-23T01:37:54.3506646Z } 2022-11-23T01:37:54.3506824Z ''') 2022-11-23T01:37:54.3506830Z 2022-11-23T01:37:54.3506835Z 2022-11-23T01:37:54.3506956Z async_compile.wait(globals()) 2022-11-23T01:37:54.3507060Z del async_compile 2022-11-23T01:37:54.3507065Z 2022-11-23T01:37:54.3507184Z def call(args): 2022-11-23T01:37:54.3507287Z arg0_1, = args 2022-11-23T01:37:54.3507346Z args.clear() 2022-11-23T01:37:54.3507600Z buf0 = empty_strided((2, 4, 2, 5), (40, 10, 5, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3507848Z buf1 = empty_strided((2, 4, 6, 6), (144, 36, 6, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3508052Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:54.3508245Z del arg0_1 2022-11-23T01:37:54.3508362Z return (buf1, buf0, ) 2022-11-23T01:37:54.3508367Z 2022-11-23T01:37:54.3508372Z 2022-11-23T01:37:54.3508477Z if __name__ == "__main__": 2022-11-23T01:37:54.3508646Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.3508759Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.3509007Z arg0_1 = rand_strided((2, 4, 6, 6), (144, 36, 6, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3509146Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.3509567Z [2022-11-23 01:29:33,429] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xv/cxvitqxsftd3rle7ftijpmceuka6z4mfqw7tz2axskf6exyasykx.py 2022-11-23T01:37:54.3509895Z [2022-11-23 01:29:33,430] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 8 2022-11-23T01:37:54.3509901Z 2022-11-23T01:37:54.3509999Z ok (5.356s) 2022-11-23T01:37:54.3510363Z test_adaptive_avg_pool2d2_cpu (__main__.CpuTests) ... [2022-11-23 01:29:33,437] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.3510668Z [2022-11-23 01:29:33,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.3510946Z [2022-11-23 01:29:33,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.3511194Z [2022-11-23 01:29:33,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.3511517Z [2022-11-23 01:29:33,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.3511918Z [2022-11-23 01:29:33,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.3512279Z [2022-11-23 01:29:33,438] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.3512403Z 1941 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.3512545Z 2 LOAD_METHOD 1 (_adaptive_avg_pool2d) 2022-11-23T01:37:54.3512666Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:54.3512787Z 6 LOAD_CONST 1 ((4, 4)) 2022-11-23T01:37:54.3512935Z 8 CALL_METHOD 2 2022-11-23T01:37:54.3513032Z 10 RETURN_VALUE 2022-11-23T01:37:54.3513122Z 2022-11-23T01:37:54.3513127Z 2022-11-23T01:37:54.3513430Z [2022-11-23 01:29:33,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1941 2022-11-23T01:37:54.3513717Z [2022-11-23 01:29:33,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.3514085Z [2022-11-23 01:29:33,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _adaptive_avg_pool2d [TorchVariable()] 2022-11-23T01:37:54.3514392Z [2022-11-23 01:29:33,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten._adaptive_avg_pool2d)] 2022-11-23T01:37:54.3514734Z [2022-11-23 01:29:33,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (4, 4) [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable()] 2022-11-23T01:37:54.3515126Z [2022-11-23 01:29:33,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten._adaptive_avg_pool2d), TensorVariable(), ConstantVariable(tuple)] 2022-11-23T01:37:54.3515434Z [2022-11-23 01:29:33,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.3515757Z [2022-11-23 01:29:33,445] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.3516036Z [2022-11-23 01:29:33,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.3516300Z [2022-11-23 01:29:33,445] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.3516586Z [2022-11-23 01:29:33,446] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.3516867Z [2022-11-23 01:29:33,449] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.3517093Z [2022-11-23 01:29:33,449] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.3517264Z __compiled_fn_9 .71 opcode, name, target, args, kwargs 2022-11-23T01:37:54.3517382Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.3517583Z call_function, _adaptive_avg_pool2d, aten._adaptive_avg_pool2d, (ex_0_, (4, 4)), {} 2022-11-23T01:37:54.3517694Z output, output, output, ((_adaptive_avg_pool2d,),), {} 2022-11-23T01:37:54.3517700Z 2022-11-23T01:37:54.3518012Z [2022-11-23 01:29:33,449] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.3518161Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.3518279Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.3518399Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.3518525Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.3518630Z 8 RETURN_VALUE 2022-11-23T01:37:54.3518638Z 2022-11-23T01:37:54.3518727Z 2022-11-23T01:37:54.3518992Z [2022-11-23 01:29:33,449] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.3519152Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_9) 2022-11-23T01:37:54.3519271Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.3519419Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.3519537Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.3519655Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.3519777Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.3519840Z 12 RETURN_VALUE 2022-11-23T01:37:54.3519845Z 2022-11-23T01:37:54.3519936Z 2022-11-23T01:37:54.3520171Z [2022-11-23 01:29:33,450] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.3520297Z - 2022-11-23T01:37:54.3520481Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.3520584Z { 2022-11-23T01:37:54.3520793Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.3520972Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.3521124Z 'obj_weakref': None 2022-11-23T01:37:54.3521382Z 'guarded_class': 2022-11-23T01:37:54.3521478Z } 2022-11-23T01:37:54.3521573Z 2022-11-23T01:37:54.3521699Z - 2022-11-23T01:37:54.3521868Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.3521920Z { 2022-11-23T01:37:54.3522097Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.3522237Z 'code': None, 2022-11-23T01:37:54.3522483Z 'obj_weakref': 2022-11-23T01:37:54.3522774Z 'guarded_class': 2022-11-23T01:37:54.3522870Z } 2022-11-23T01:37:54.3522964Z 2022-11-23T01:37:54.3523023Z - 2022-11-23T01:37:54.3523245Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.3523339Z { 2022-11-23T01:37:54.3523505Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.3523710Z 'code': ['___check_obj_id(model, 140539048849488)'], 2022-11-23T01:37:54.3523863Z 'obj_weakref': None 2022-11-23T01:37:54.3524129Z 'guarded_class': 2022-11-23T01:37:54.3524181Z } 2022-11-23T01:37:54.3524274Z 2022-11-23T01:37:54.3524382Z - 2022-11-23T01:37:54.3524556Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.3524650Z { 2022-11-23T01:37:54.3524820Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.3525075Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.3525186Z 'obj_weakref': None 2022-11-23T01:37:54.3525438Z 'guarded_class': 2022-11-23T01:37:54.3525531Z } 2022-11-23T01:37:54.3525630Z 2022-11-23T01:37:54.3525729Z - 2022-11-23T01:37:54.3525943Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.3526038Z { 2022-11-23T01:37:54.3526152Z 'guard_types': None, 2022-11-23T01:37:54.3526290Z 'code': None, 2022-11-23T01:37:54.3526439Z 'obj_weakref': None 2022-11-23T01:37:54.3526593Z 'guarded_class': None 2022-11-23T01:37:54.3526693Z } 2022-11-23T01:37:54.3526784Z 2022-11-23T01:37:54.3527073Z [2022-11-23 01:29:33,455] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 9 2022-11-23T01:37:54.3527307Z [2022-11-23 01:29:33,457] torch._inductor.ir: [WARNING] Using FallbackKernel: aten._adaptive_avg_pool2d 2022-11-23T01:37:54.3527729Z [2022-11-23 01:29:33,460] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4s/c4sf74dyl7kpt6x4hawiicof5w4s36wvhwsoqd24mk7oi7ecao3p.py 2022-11-23T01:37:54.3528021Z [2022-11-23 01:29:33,460] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 9 2022-11-23T01:37:54.3528028Z 2022-11-23T01:37:54.3528180Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.3528290Z import torch 2022-11-23T01:37:54.3528390Z import random 2022-11-23T01:37:54.3528532Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.3528686Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.3528692Z 2022-11-23T01:37:54.3528756Z aten = torch.ops.aten 2022-11-23T01:37:54.3528946Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.3529088Z async_compile = AsyncCompile() 2022-11-23T01:37:54.3529093Z 2022-11-23T01:37:54.3529098Z 2022-11-23T01:37:54.3529215Z async_compile.wait(globals()) 2022-11-23T01:37:54.3529355Z del async_compile 2022-11-23T01:37:54.3529360Z 2022-11-23T01:37:54.3529460Z def call(args): 2022-11-23T01:37:54.3529558Z arg0_1, = args 2022-11-23T01:37:54.3529657Z args.clear() 2022-11-23T01:37:54.3529754Z buf0 = aten._adaptive_avg_pool2d(arg0_1, [4, 4]) 2022-11-23T01:37:54.3529851Z del arg0_1 2022-11-23T01:37:54.3529945Z buf1 = buf0 2022-11-23T01:37:54.3530104Z assert_size_stride(buf1, (2, 4, 4, 4), (64, 16, 4, 1)) 2022-11-23T01:37:54.3530208Z del buf0 2022-11-23T01:37:54.3530307Z return (buf1, ) 2022-11-23T01:37:54.3530312Z 2022-11-23T01:37:54.3530316Z 2022-11-23T01:37:54.3530417Z if __name__ == "__main__": 2022-11-23T01:37:54.3530517Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.3530669Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.3530928Z arg0_1 = rand_strided((2, 4, 21, 21), (1764, 441, 21, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3531102Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.3531110Z 2022-11-23T01:37:54.3531206Z ok (0.028s) 2022-11-23T01:37:54.3531588Z test_add_const_float_cpu (__main__.CpuTests) ... [2022-11-23 01:29:33,463] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.3531896Z [2022-11-23 01:29:33,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.3532148Z [2022-11-23 01:29:33,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.3532434Z [2022-11-23 01:29:33,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.3532713Z [2022-11-23 01:29:33,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.3533070Z [2022-11-23 01:29:33,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.3533429Z [2022-11-23 01:29:33,464] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.3533550Z 650 0 LOAD_FAST 0 (a) 2022-11-23T01:37:54.3533680Z 2 LOAD_CONST 1 (1.5) 2022-11-23T01:37:54.3533804Z 4 BINARY_ADD 2022-11-23T01:37:54.3533928Z 6 BUILD_TUPLE 1 2022-11-23T01:37:54.3534032Z 8 RETURN_VALUE 2022-11-23T01:37:54.3534081Z 2022-11-23T01:37:54.3534086Z 2022-11-23T01:37:54.3534386Z [2022-11-23 01:29:33,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:650 2022-11-23T01:37:54.3534628Z [2022-11-23 01:29:33,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:54.3534933Z [2022-11-23 01:29:33,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.5 [TensorVariable()] 2022-11-23T01:37:54.3535256Z [2022-11-23 01:29:33,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(float)] 2022-11-23T01:37:54.3535531Z [2022-11-23 01:29:33,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:54.3535834Z [2022-11-23 01:29:33,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.3536229Z [2022-11-23 01:29:33,465] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.3536512Z [2022-11-23 01:29:33,465] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.3536737Z [2022-11-23 01:29:33,465] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.3537022Z [2022-11-23 01:29:33,466] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.3537308Z [2022-11-23 01:29:33,468] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.3537561Z [2022-11-23 01:29:33,468] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.3537724Z __compiled_fn_10 .77 opcode, name, target, args, kwargs 2022-11-23T01:37:54.3537840Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.3538071Z call_function, add, , (ex_0_, 1.5), {} 2022-11-23T01:37:54.3538198Z output, output, output, ((add,),), {} 2022-11-23T01:37:54.3538204Z 2022-11-23T01:37:54.3538512Z [2022-11-23 01:29:33,469] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.3538594Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.3538720Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.3539057Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.3539200Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.3539313Z 8 RETURN_VALUE 2022-11-23T01:37:54.3539318Z 2022-11-23T01:37:54.3539406Z 2022-11-23T01:37:54.3539748Z [2022-11-23 01:29:33,469] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.3539845Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_10) 2022-11-23T01:37:54.3539967Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.3540092Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.3540201Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.3540317Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.3540450Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.3540580Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.3540696Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.3540760Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.3540899Z 18 BUILD_TUPLE 1 2022-11-23T01:37:54.3541015Z 20 RETURN_VALUE 2022-11-23T01:37:54.3541021Z 2022-11-23T01:37:54.3541109Z 2022-11-23T01:37:54.3541360Z [2022-11-23 01:29:33,469] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.3541463Z - 2022-11-23T01:37:54.3541617Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.3541670Z { 2022-11-23T01:37:54.3541845Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.3542070Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.3542251Z 'obj_weakref': None 2022-11-23T01:37:54.3542515Z 'guarded_class': 2022-11-23T01:37:54.3542608Z } 2022-11-23T01:37:54.3542702Z 2022-11-23T01:37:54.3542761Z - 2022-11-23T01:37:54.3542919Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.3543012Z { 2022-11-23T01:37:54.3543187Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.3543337Z 'code': None, 2022-11-23T01:37:54.3543601Z 'obj_weakref': 2022-11-23T01:37:54.3543890Z 'guarded_class': 2022-11-23T01:37:54.3543942Z } 2022-11-23T01:37:54.3544120Z 2022-11-23T01:37:54.3544225Z - 2022-11-23T01:37:54.3544392Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.3544494Z { 2022-11-23T01:37:54.3544662Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.3544867Z 'code': ['___check_obj_id(model, 140539203472848)'], 2022-11-23T01:37:54.3544977Z 'obj_weakref': None 2022-11-23T01:37:54.3545263Z 'guarded_class': 2022-11-23T01:37:54.3545357Z } 2022-11-23T01:37:54.3545493Z 2022-11-23T01:37:54.3545596Z - 2022-11-23T01:37:54.3545759Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.3545853Z { 2022-11-23T01:37:54.3545982Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.3546234Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.3546389Z 'obj_weakref': None 2022-11-23T01:37:54.3546667Z 'guarded_class': 2022-11-23T01:37:54.3546793Z } 2022-11-23T01:37:54.3546887Z 2022-11-23T01:37:54.3547188Z [2022-11-23 01:29:33,473] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 10 2022-11-23T01:37:54.3547546Z [2022-11-23 01:29:34,842] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/d4/cd4q3cj56kjld2jzw4mjtbrp22czbdxdu4eu3hfh6ws2emkaoty5.py 2022-11-23T01:37:54.3547841Z [2022-11-23 01:29:34,843] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 10 2022-11-23T01:37:54.3547850Z 2022-11-23T01:37:54.3547980Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.3548079Z import torch 2022-11-23T01:37:54.3548273Z import random 2022-11-23T01:37:54.3548446Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.3548602Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.3548608Z 2022-11-23T01:37:54.3548726Z aten = torch.ops.aten 2022-11-23T01:37:54.3548850Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.3548971Z async_compile = AsyncCompile() 2022-11-23T01:37:54.3548976Z 2022-11-23T01:37:54.3548981Z 2022-11-23T01:37:54.3549150Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.3549385Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.3549533Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.3549664Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.3549779Z { 2022-11-23T01:37:54.3549930Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:54.3549979Z { 2022-11-23T01:37:54.3550148Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:54.3550314Z auto tmp1 = at::vec::Vectorized(static_cast(1.5)); 2022-11-23T01:37:54.3550431Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.3550549Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.3550639Z } 2022-11-23T01:37:54.3550756Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.3550824Z for(long i0=32; i0<32; i0+=1) 2022-11-23T01:37:54.3550942Z { 2022-11-23T01:37:54.3551053Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.3551179Z auto tmp1 = static_cast(1.5); 2022-11-23T01:37:54.3551291Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.3551397Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:54.3551485Z } 2022-11-23T01:37:54.3551534Z } 2022-11-23T01:37:54.3551646Z ''') 2022-11-23T01:37:54.3551652Z 2022-11-23T01:37:54.3551656Z 2022-11-23T01:37:54.3551783Z async_compile.wait(globals()) 2022-11-23T01:37:54.3551936Z del async_compile 2022-11-23T01:37:54.3551941Z 2022-11-23T01:37:54.3552041Z def call(args): 2022-11-23T01:37:54.3552137Z arg0_1, = args 2022-11-23T01:37:54.3552237Z args.clear() 2022-11-23T01:37:54.3552458Z buf0 = empty_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3552625Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.3552729Z del arg0_1 2022-11-23T01:37:54.3552832Z return (buf0, ) 2022-11-23T01:37:54.3552836Z 2022-11-23T01:37:54.3552841Z 2022-11-23T01:37:54.3552944Z if __name__ == "__main__": 2022-11-23T01:37:54.3553106Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.3553260Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.3553493Z arg0_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3553622Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.3553627Z 2022-11-23T01:37:54.3553722Z ok (1.384s) 2022-11-23T01:37:54.3554080Z test_add_const_int_cpu (__main__.CpuTests) ... [2022-11-23 01:29:34,850] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.3554385Z [2022-11-23 01:29:34,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.3554638Z [2022-11-23 01:29:34,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.3554962Z [2022-11-23 01:29:34,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.3555306Z [2022-11-23 01:29:34,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.3555663Z [2022-11-23 01:29:34,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.3556026Z [2022-11-23 01:29:34,850] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.3556106Z 644 0 LOAD_FAST 0 (a) 2022-11-23T01:37:54.3556237Z 2 LOAD_CONST 1 (1) 2022-11-23T01:37:54.3556338Z 4 BINARY_ADD 2022-11-23T01:37:54.3556454Z 6 BUILD_TUPLE 1 2022-11-23T01:37:54.3556559Z 8 RETURN_VALUE 2022-11-23T01:37:54.3556647Z 2022-11-23T01:37:54.3556652Z 2022-11-23T01:37:54.3556976Z [2022-11-23 01:29:34,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:644 2022-11-23T01:37:54.3557223Z [2022-11-23 01:29:34,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:54.3557456Z [2022-11-23 01:29:34,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:37:54.3557779Z [2022-11-23 01:29:34,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.3558055Z [2022-11-23 01:29:34,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:54.3558338Z [2022-11-23 01:29:34,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.3558707Z [2022-11-23 01:29:34,852] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.3559021Z [2022-11-23 01:29:34,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.3559292Z [2022-11-23 01:29:34,852] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.3559603Z [2022-11-23 01:29:34,853] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.3559898Z [2022-11-23 01:29:34,856] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.3560076Z [2022-11-23 01:29:34,856] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.3560242Z __compiled_fn_11 .83 opcode, name, target, args, kwargs 2022-11-23T01:37:54.3560393Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.3560603Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:54.3560727Z output, output, output, ((add,),), {} 2022-11-23T01:37:54.3560733Z 2022-11-23T01:37:54.3561041Z [2022-11-23 01:29:34,857] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.3561171Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.3561312Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.3561394Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.3561544Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.3561649Z 8 RETURN_VALUE 2022-11-23T01:37:54.3561654Z 2022-11-23T01:37:54.3561744Z 2022-11-23T01:37:54.3562055Z [2022-11-23 01:29:34,857] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.3562222Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_11) 2022-11-23T01:37:54.3562349Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.3562466Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.3562530Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.3562667Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.3562802Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.3562932Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.3563049Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.3563157Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.3563281Z 18 BUILD_TUPLE 1 2022-11-23T01:37:54.3563344Z 20 RETURN_VALUE 2022-11-23T01:37:54.3563349Z 2022-11-23T01:37:54.3563437Z 2022-11-23T01:37:54.3563651Z [2022-11-23 01:29:34,857] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.3563778Z - 2022-11-23T01:37:54.3563932Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.3564026Z { 2022-11-23T01:37:54.3564199Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.3564375Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.3564564Z 'obj_weakref': None 2022-11-23T01:37:54.3564823Z 'guarded_class': 2022-11-23T01:37:54.3564917Z } 2022-11-23T01:37:54.3565009Z 2022-11-23T01:37:54.3565130Z - 2022-11-23T01:37:54.3565292Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.3565346Z { 2022-11-23T01:37:54.3565522Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.3565667Z 'code': None, 2022-11-23T01:37:54.3565914Z 'obj_weakref': 2022-11-23T01:37:54.3566203Z 'guarded_class': 2022-11-23T01:37:54.3566300Z } 2022-11-23T01:37:54.3566391Z 2022-11-23T01:37:54.3566448Z - 2022-11-23T01:37:54.3566630Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.3566721Z { 2022-11-23T01:37:54.3566895Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.3567097Z 'code': ['___check_obj_id(model, 140538744832944)'], 2022-11-23T01:37:54.3567280Z 'obj_weakref': None 2022-11-23T01:37:54.3567543Z 'guarded_class': 2022-11-23T01:37:54.3567597Z } 2022-11-23T01:37:54.3567686Z 2022-11-23T01:37:54.3567786Z - 2022-11-23T01:37:54.3567960Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.3568064Z { 2022-11-23T01:37:54.3568235Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.3568516Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.3568627Z 'obj_weakref': None 2022-11-23T01:37:54.3568883Z 'guarded_class': 2022-11-23T01:37:54.3568974Z } 2022-11-23T01:37:54.3569065Z 2022-11-23T01:37:54.3569378Z [2022-11-23 01:29:34,862] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 11 2022-11-23T01:37:54.3569803Z [2022-11-23 01:29:36,230] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vb/cvbwiq6wzzdm22snzcvfjgqrbcfum3vh4gzqaaqxfwbcbyent42v.py 2022-11-23T01:37:54.3570138Z [2022-11-23 01:29:36,231] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 11 2022-11-23T01:37:54.3570145Z 2022-11-23T01:37:54.3570298Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.3570355Z import torch 2022-11-23T01:37:54.3570453Z import random 2022-11-23T01:37:54.3570598Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.3570749Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.3570755Z 2022-11-23T01:37:54.3570870Z aten = torch.ops.aten 2022-11-23T01:37:54.3571035Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.3571181Z async_compile = AsyncCompile() 2022-11-23T01:37:54.3571187Z 2022-11-23T01:37:54.3571191Z 2022-11-23T01:37:54.3571358Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.3571550Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.3571699Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.3571826Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.3571913Z { 2022-11-23T01:37:54.3572028Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:54.3572118Z { 2022-11-23T01:37:54.3572283Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:54.3572474Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:54.3572549Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.3572664Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.3572784Z } 2022-11-23T01:37:54.3572900Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.3573015Z for(long i0=32; i0<32; i0+=1) 2022-11-23T01:37:54.3573107Z { 2022-11-23T01:37:54.3573176Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.3573300Z auto tmp1 = static_cast(1); 2022-11-23T01:37:54.3573409Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.3573536Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:54.3573630Z } 2022-11-23T01:37:54.3573719Z } 2022-11-23T01:37:54.3573837Z ''') 2022-11-23T01:37:54.3573842Z 2022-11-23T01:37:54.3573847Z 2022-11-23T01:37:54.3573922Z async_compile.wait(globals()) 2022-11-23T01:37:54.3574023Z del async_compile 2022-11-23T01:37:54.3574028Z 2022-11-23T01:37:54.3574126Z def call(args): 2022-11-23T01:37:54.3574225Z arg0_1, = args 2022-11-23T01:37:54.3574324Z args.clear() 2022-11-23T01:37:54.3574570Z buf0 = empty_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3574764Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.3574868Z del arg0_1 2022-11-23T01:37:54.3574927Z return (buf0, ) 2022-11-23T01:37:54.3574932Z 2022-11-23T01:37:54.3574936Z 2022-11-23T01:37:54.3575039Z if __name__ == "__main__": 2022-11-23T01:37:54.3575178Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.3575329Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.3575564Z arg0_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3575703Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.3575708Z 2022-11-23T01:37:54.3575823Z ok (1.387s) 2022-11-23T01:37:54.3576237Z test_add_inplace_permuted_cpu (__main__.CpuTests) ... [2022-11-23 01:29:36,239] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.3576501Z [2022-11-23 01:29:36,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.3576752Z [2022-11-23 01:29:36,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.3577036Z [2022-11-23 01:29:36,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.3577355Z [2022-11-23 01:29:36,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.3577746Z [2022-11-23 01:29:36,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.3578106Z [2022-11-23 01:29:36,239] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.3578239Z 656 0 LOAD_FAST 0 (x) 2022-11-23T01:37:54.3578417Z 2 LOAD_METHOD 0 (add_) 2022-11-23T01:37:54.3578541Z 4 LOAD_FAST 1 (y) 2022-11-23T01:37:54.3578615Z 6 CALL_METHOD 1 2022-11-23T01:37:54.3578719Z 8 RETURN_VALUE 2022-11-23T01:37:54.3578964Z 2022-11-23T01:37:54.3578973Z 2022-11-23T01:37:54.3579323Z [2022-11-23 01:29:36,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:656 2022-11-23T01:37:54.3579567Z [2022-11-23 01:29:36,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.3579856Z [2022-11-23 01:29:36,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add_ [TensorVariable()] 2022-11-23T01:37:54.3580170Z [2022-11-23 01:29:36,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add_)] 2022-11-23T01:37:54.3580542Z [2022-11-23 01:29:36,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add_), TensorVariable()] 2022-11-23T01:37:54.3580781Z [2022-11-23 01:29:36,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.3581145Z [2022-11-23 01:29:36,241] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.3581422Z [2022-11-23 01:29:36,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.3581691Z [2022-11-23 01:29:36,241] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.3581980Z [2022-11-23 01:29:36,242] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.3582316Z [2022-11-23 01:29:36,244] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation 2022-11-23T01:37:54.3582614Z [2022-11-23 01:29:36,244] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager 2022-11-23T01:37:54.3582928Z [2022-11-23 01:29:36,244] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.3583178Z [2022-11-23 01:29:36,245] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.3583343Z __compiled_fn_12 .86 opcode, name, target, args, kwargs 2022-11-23T01:37:54.3583422Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.3583539Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.3583670Z call_method, add_, add_, (ex_0_, ex_1_), {} 2022-11-23T01:37:54.3583805Z output, output, output, ((add_,),), {} 2022-11-23T01:37:54.3583810Z 2022-11-23T01:37:54.3584127Z [2022-11-23 01:29:36,245] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.3584254Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.3584432Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.3584515Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.3584660Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.3584765Z 8 RETURN_VALUE 2022-11-23T01:37:54.3584771Z 2022-11-23T01:37:54.3584867Z 2022-11-23T01:37:54.3585178Z [2022-11-23 01:29:36,245] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.3585315Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_12) 2022-11-23T01:37:54.3585433Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.3585625Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.3585689Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.3585806Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.3585944Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.3586058Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.3586177Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.3586297Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.3586402Z 18 RETURN_VALUE 2022-11-23T01:37:54.3586407Z 2022-11-23T01:37:54.3586454Z 2022-11-23T01:37:54.3586669Z [2022-11-23 01:29:36,246] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.3586776Z - 2022-11-23T01:37:54.3586927Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.3587049Z { 2022-11-23T01:37:54.3587223Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.3587444Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.3587556Z 'obj_weakref': None 2022-11-23T01:37:54.3587811Z 'guarded_class': 2022-11-23T01:37:54.3587906Z } 2022-11-23T01:37:54.3588030Z 2022-11-23T01:37:54.3588203Z - 2022-11-23T01:37:54.3588380Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.3588499Z { 2022-11-23T01:37:54.3588637Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.3588774Z 'code': None, 2022-11-23T01:37:54.3589022Z 'obj_weakref': 2022-11-23T01:37:54.3589310Z 'guarded_class': 2022-11-23T01:37:54.3589408Z } 2022-11-23T01:37:54.3589498Z 2022-11-23T01:37:54.3589606Z - 2022-11-23T01:37:54.3589719Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.3589815Z { 2022-11-23T01:37:54.3590010Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.3590151Z 'code': None, 2022-11-23T01:37:54.3590395Z 'obj_weakref': 2022-11-23T01:37:54.3590683Z 'guarded_class': 2022-11-23T01:37:54.3590777Z } 2022-11-23T01:37:54.3590826Z 2022-11-23T01:37:54.3590969Z - 2022-11-23T01:37:54.3591130Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.3591222Z { 2022-11-23T01:37:54.3591410Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.3591615Z 'code': ['___check_obj_id(model, 140538742752896)'], 2022-11-23T01:37:54.3591766Z 'obj_weakref': None 2022-11-23T01:37:54.3591989Z 'guarded_class': 2022-11-23T01:37:54.3592086Z } 2022-11-23T01:37:54.3592185Z 2022-11-23T01:37:54.3592288Z - 2022-11-23T01:37:54.3592442Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.3592533Z { 2022-11-23T01:37:54.3592722Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.3592973Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.3593126Z 'obj_weakref': None 2022-11-23T01:37:54.3593389Z 'guarded_class': 2022-11-23T01:37:54.3593481Z } 2022-11-23T01:37:54.3593600Z 2022-11-23T01:37:54.3593945Z [2022-11-23 01:29:36,246] torch._dynamo.eval_frame: [DEBUG] skipping _call_impl /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py 2022-11-23T01:37:54.3594283Z [2022-11-23 01:29:36,246] torch._dynamo.eval_frame: [DEBUG] skipping forward /opt/conda/lib/python3.7/site-packages/torch/_dynamo/eval_frame.py 2022-11-23T01:37:54.3594660Z [2022-11-23 01:29:36,246] torch._dynamo.eval_frame: [DEBUG] skipping __getattr__ /opt/conda/lib/python3.7/site-packages/torch/_dynamo/eval_frame.py 2022-11-23T01:37:54.3594955Z [2022-11-23 01:29:36,246] torch._dynamo.eval_frame: [DEBUG] skipping __call__ /opt/conda/lib/python3.7/site-packages/torch/_dynamo/eval_frame.py 2022-11-23T01:37:54.3595323Z [2022-11-23 01:29:36,246] torch._dynamo.eval_frame: [DEBUG] skipping innermost_fn /opt/conda/lib/python3.7/site-packages/torch/_dynamo/eval_frame.py 2022-11-23T01:37:54.3595616Z [2022-11-23 01:29:36,246] torch._dynamo.eval_frame: [DEBUG] skipping wraps /opt/conda/lib/python3.7/functools.py 2022-11-23T01:37:54.3595918Z [2022-11-23 01:29:36,246] torch._dynamo.eval_frame: [DEBUG] skipping update_wrapper /opt/conda/lib/python3.7/functools.py 2022-11-23T01:37:54.3596018Z ok (0.014s) 2022-11-23T01:37:54.3596356Z test_addmm_cpu (__main__.CpuTests) ... [2022-11-23 01:29:36,251] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.3596663Z [2022-11-23 01:29:36,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.3596916Z [2022-11-23 01:29:36,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.3597204Z [2022-11-23 01:29:36,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.3597554Z [2022-11-23 01:29:36,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.3597872Z [2022-11-23 01:29:36,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.3598225Z [2022-11-23 01:29:36,251] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.3598352Z 1334 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.3598512Z 2 LOAD_METHOD 1 (addmm) 2022-11-23T01:37:54.3598630Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.3598749Z 6 LOAD_CONST 1 (1) 2022-11-23T01:37:54.3598853Z 8 BINARY_ADD 2022-11-23T01:37:54.3598981Z 10 LOAD_FAST 1 (b) 2022-11-23T01:37:54.3599057Z 12 LOAD_CONST 2 (2) 2022-11-23T01:37:54.3599180Z 14 BINARY_ADD 2022-11-23T01:37:54.3599302Z 16 LOAD_FAST 2 (c) 2022-11-23T01:37:54.3599417Z 18 LOAD_CONST 3 (3) 2022-11-23T01:37:54.3599519Z 20 BINARY_ADD 2022-11-23T01:37:54.3599635Z 22 CALL_METHOD 3 2022-11-23T01:37:54.3599753Z 24 LOAD_CONST 4 (4) 2022-11-23T01:37:54.3599812Z 26 BINARY_ADD 2022-11-23T01:37:54.3599941Z 28 BUILD_TUPLE 1 2022-11-23T01:37:54.3600046Z 30 RETURN_VALUE 2022-11-23T01:37:54.3600155Z 2022-11-23T01:37:54.3600161Z 2022-11-23T01:37:54.3600468Z [2022-11-23 01:29:36,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1334 2022-11-23T01:37:54.3600777Z [2022-11-23 01:29:36,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.3601182Z [2022-11-23 01:29:36,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR addmm [TorchVariable()] 2022-11-23T01:37:54.3601544Z [2022-11-23 01:29:36,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:54.3601886Z [2022-11-23 01:29:36,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.3602346Z [2022-11-23 01:29:36,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.3602727Z [2022-11-23 01:29:36,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.3603139Z [2022-11-23 01:29:36,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.3603614Z [2022-11-23 01:29:36,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.3604020Z [2022-11-23 01:29:36,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.3604464Z [2022-11-23 01:29:36,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.3604951Z [2022-11-23 01:29:36,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.3605399Z [2022-11-23 01:29:36,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.3605673Z [2022-11-23 01:29:36,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable()] 2022-11-23T01:37:54.3605989Z [2022-11-23 01:29:36,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.3606265Z [2022-11-23 01:29:36,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:54.3606567Z [2022-11-23 01:29:36,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.3606963Z [2022-11-23 01:29:36,259] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.3607198Z [2022-11-23 01:29:36,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.3607470Z [2022-11-23 01:29:36,259] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.3607758Z [2022-11-23 01:29:36,260] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.3608041Z [2022-11-23 01:29:36,267] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.3608264Z [2022-11-23 01:29:36,267] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.3608433Z __compiled_fn_13 .92 opcode, name, target, args, kwargs 2022-11-23T01:37:54.3608584Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.3608732Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.3608806Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:37:54.3609016Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:54.3609223Z call_function, add_1, , (ex_1_, 2), {} 2022-11-23T01:37:54.3609428Z call_function, add_2, , (ex_2_, 3), {} 2022-11-23T01:37:54.3609705Z call_function, addmm, , (add, add_1, add_2), {} 2022-11-23T01:37:54.3609914Z call_function, add_3, , (addmm, 4), {} 2022-11-23T01:37:54.3610071Z output, output, output, ((add_3,),), {} 2022-11-23T01:37:54.3610076Z 2022-11-23T01:37:54.3610422Z [2022-11-23 01:29:36,267] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.3610505Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.3610651Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.3610773Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.3610890Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.3610996Z 8 RETURN_VALUE 2022-11-23T01:37:54.3611001Z 2022-11-23T01:37:54.3611090Z 2022-11-23T01:37:54.3611399Z [2022-11-23 01:29:36,268] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.3611542Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_13) 2022-11-23T01:37:54.3611620Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.3611738Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.3611866Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.3611983Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.3612097Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.3612201Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.3612316Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.3612390Z 16 LOAD_CONST 3 (2) 2022-11-23T01:37:54.3612501Z 18 BINARY_SUBSCR 2022-11-23T01:37:54.3612617Z 20 CALL_FUNCTION 3 2022-11-23T01:37:54.3612781Z 22 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.3612931Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.3613047Z 26 LOAD_CONST 1 (0) 2022-11-23T01:37:54.3613152Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.3613228Z 30 BUILD_TUPLE 1 2022-11-23T01:37:54.3613333Z 32 RETURN_VALUE 2022-11-23T01:37:54.3613338Z 2022-11-23T01:37:54.3613433Z 2022-11-23T01:37:54.3613650Z [2022-11-23 01:29:36,268] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.3613753Z - 2022-11-23T01:37:54.3613904Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.3614020Z { 2022-11-23T01:37:54.3614156Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.3614374Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 3'], 2022-11-23T01:37:54.3614526Z 'obj_weakref': None 2022-11-23T01:37:54.3614788Z 'guarded_class': 2022-11-23T01:37:54.3614886Z } 2022-11-23T01:37:54.3614978Z 2022-11-23T01:37:54.3615106Z - 2022-11-23T01:37:54.3615220Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.3615314Z { 2022-11-23T01:37:54.3615512Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.3615656Z 'code': None, 2022-11-23T01:37:54.3615910Z 'obj_weakref': 2022-11-23T01:37:54.3616203Z 'guarded_class': 2022-11-23T01:37:54.3616295Z } 2022-11-23T01:37:54.3616380Z 2022-11-23T01:37:54.3616482Z - 2022-11-23T01:37:54.3616640Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.3616732Z { 2022-11-23T01:37:54.3616937Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.3617076Z 'code': None, 2022-11-23T01:37:54.3617320Z 'obj_weakref': 2022-11-23T01:37:54.3617559Z 'guarded_class': 2022-11-23T01:37:54.3617657Z } 2022-11-23T01:37:54.3617782Z 2022-11-23T01:37:54.3617914Z - 2022-11-23T01:37:54.3618072Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:37:54.3618174Z { 2022-11-23T01:37:54.3618370Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.3618469Z 'code': None, 2022-11-23T01:37:54.3618715Z 'obj_weakref': 2022-11-23T01:37:54.3619218Z 'guarded_class': 2022-11-23T01:37:54.3619314Z } 2022-11-23T01:37:54.3619405Z 2022-11-23T01:37:54.3619508Z - 2022-11-23T01:37:54.3619682Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.3619733Z { 2022-11-23T01:37:54.3619904Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.3620133Z 'code': ['___check_obj_id(model, 140538742391728)'], 2022-11-23T01:37:54.3620288Z 'obj_weakref': None 2022-11-23T01:37:54.3620557Z 'guarded_class': 2022-11-23T01:37:54.3620651Z } 2022-11-23T01:37:54.3620772Z 2022-11-23T01:37:54.3620830Z - 2022-11-23T01:37:54.3620992Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.3621085Z { 2022-11-23T01:37:54.3621256Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.3621535Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.3621687Z 'obj_weakref': None 2022-11-23T01:37:54.3621941Z 'guarded_class': 2022-11-23T01:37:54.3621992Z } 2022-11-23T01:37:54.3622084Z 2022-11-23T01:37:54.3622192Z - 2022-11-23T01:37:54.3622358Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.3622451Z { 2022-11-23T01:37:54.3622622Z 'guard_types': None, 2022-11-23T01:37:54.3622782Z 'code': None, 2022-11-23T01:37:54.3622893Z 'obj_weakref': None 2022-11-23T01:37:54.3623045Z 'guarded_class': None 2022-11-23T01:37:54.3623136Z } 2022-11-23T01:37:54.3623234Z 2022-11-23T01:37:54.3623568Z [2022-11-23 01:29:36,279] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 12 2022-11-23T01:37:54.3623977Z [2022-11-23 01:29:37,727] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5g/c5gltjmjuxzmsxakntigbwdombwpqrtyzwi25nd2sbco7hswepap.py 2022-11-23T01:37:54.3624273Z [2022-11-23 01:29:37,727] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 12 2022-11-23T01:37:54.3624280Z 2022-11-23T01:37:54.3624403Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.3624459Z import torch 2022-11-23T01:37:54.3624583Z import random 2022-11-23T01:37:54.3624727Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.3624888Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.3624894Z 2022-11-23T01:37:54.3625000Z aten = torch.ops.aten 2022-11-23T01:37:54.3625163Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.3625285Z async_compile = AsyncCompile() 2022-11-23T01:37:54.3625290Z 2022-11-23T01:37:54.3625295Z 2022-11-23T01:37:54.3625519Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.3625717Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.3625867Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.3626030Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.3626165Z const float* __restrict__ in_ptr2, 2022-11-23T01:37:54.3626293Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.3626455Z float* __restrict__ out_ptr1, 2022-11-23T01:37:54.3626625Z float* __restrict__ out_ptr2) 2022-11-23T01:37:54.3626673Z { 2022-11-23T01:37:54.3626783Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:54.3626875Z { 2022-11-23T01:37:54.3627058Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:54.3627244Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:54.3627363Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.3627481Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.3627530Z } 2022-11-23T01:37:54.3627645Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.3627756Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:37:54.3627846Z { 2022-11-23T01:37:54.3627962Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.3628085Z auto tmp1 = static_cast(1); 2022-11-23T01:37:54.3628310Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.3628382Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:54.3628472Z } 2022-11-23T01:37:54.3628609Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:54.3628699Z { 2022-11-23T01:37:54.3628862Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:54.3629032Z auto tmp1 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:37:54.3629144Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.3629220Z tmp2.store(out_ptr1 + 8*i0); 2022-11-23T01:37:54.3629313Z } 2022-11-23T01:37:54.3629451Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.3629563Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:37:54.3629653Z { 2022-11-23T01:37:54.3629761Z auto tmp0 = in_ptr1[i0]; 2022-11-23T01:37:54.3629896Z auto tmp1 = static_cast(2); 2022-11-23T01:37:54.3629966Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.3630071Z out_ptr1[i0] = tmp2; 2022-11-23T01:37:54.3630161Z } 2022-11-23T01:37:54.3630269Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:54.3630378Z { 2022-11-23T01:37:54.3630568Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr2 + 8*i0); 2022-11-23T01:37:54.3630731Z auto tmp1 = at::vec::Vectorized(static_cast(3)); 2022-11-23T01:37:54.3630801Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.3630923Z tmp2.store(out_ptr2 + 8*i0); 2022-11-23T01:37:54.3631015Z } 2022-11-23T01:37:54.3631134Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.3631244Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:37:54.3631334Z { 2022-11-23T01:37:54.3631463Z auto tmp0 = in_ptr2[i0]; 2022-11-23T01:37:54.3631549Z auto tmp1 = static_cast(3); 2022-11-23T01:37:54.3631659Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.3631774Z out_ptr2[i0] = tmp2; 2022-11-23T01:37:54.3631864Z } 2022-11-23T01:37:54.3631956Z } 2022-11-23T01:37:54.3632071Z ''') 2022-11-23T01:37:54.3632077Z 2022-11-23T01:37:54.3632082Z 2022-11-23T01:37:54.3632246Z kernel_cpp_1 = async_compile.cpp(''' 2022-11-23T01:37:54.3632442Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.3632591Z extern "C" void kernel(float* __restrict__ in_out_ptr0) 2022-11-23T01:37:54.3632700Z { 2022-11-23T01:37:54.3632846Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:54.3632934Z { 2022-11-23T01:37:54.3633097Z auto tmp0 = at::vec::Vectorized::loadu(in_out_ptr0 + 8*i0); 2022-11-23T01:37:54.3633295Z auto tmp1 = at::vec::Vectorized(static_cast(4)); 2022-11-23T01:37:54.3633367Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.3633486Z tmp2.store(in_out_ptr0 + 8*i0); 2022-11-23T01:37:54.3814624Z } 2022-11-23T01:37:54.3814971Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.3815094Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:37:54.3815171Z { 2022-11-23T01:37:54.3815300Z auto tmp0 = in_out_ptr0[i0]; 2022-11-23T01:37:54.3815439Z auto tmp1 = static_cast(4); 2022-11-23T01:37:54.3815596Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.3816128Z in_out_ptr0[i0] = tmp2; 2022-11-23T01:37:54.3816219Z } 2022-11-23T01:37:54.3816292Z } 2022-11-23T01:37:54.3816469Z ''') 2022-11-23T01:37:54.3816476Z 2022-11-23T01:37:54.3816481Z 2022-11-23T01:37:54.3816568Z async_compile.wait(globals()) 2022-11-23T01:37:54.3816636Z del async_compile 2022-11-23T01:37:54.3816642Z 2022-11-23T01:37:54.3816704Z def call(args): 2022-11-23T01:37:54.3816786Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:54.3816856Z args.clear() 2022-11-23T01:37:54.3817076Z buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3817262Z buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3817448Z buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3817683Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:37:54.3817752Z del arg0_1 2022-11-23T01:37:54.3817810Z del arg1_1 2022-11-23T01:37:54.3817868Z del arg2_1 2022-11-23T01:37:54.3818055Z buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3818172Z aten.addmm.out(buf0, buf1, buf2, beta=1, alpha=1, out=buf3) 2022-11-23T01:37:54.3818225Z del buf0 2022-11-23T01:37:54.3818289Z del buf1 2022-11-23T01:37:54.3818348Z del buf2 2022-11-23T01:37:54.3818430Z buf4 = buf3; del buf3 # reuse 2022-11-23T01:37:54.3818530Z kernel_cpp_1(c_void_p(buf4.data_ptr())) 2022-11-23T01:37:54.3818595Z return (buf4, ) 2022-11-23T01:37:54.3818601Z 2022-11-23T01:37:54.3818605Z 2022-11-23T01:37:54.3818673Z if __name__ == "__main__": 2022-11-23T01:37:54.3818929Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.3819101Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.3819302Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3819499Z arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3819686Z arg2_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3819802Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:54.3819808Z 2022-11-23T01:37:54.3819868Z ok (1.482s) 2022-11-23T01:37:54.3820197Z test_alexnet_prefix_cpu (__main__.CpuTests) ... [2022-11-23 01:29:37,825] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.3820461Z [2022-11-23 01:29:37,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.3820681Z [2022-11-23 01:29:37,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.3820937Z [2022-11-23 01:29:37,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.3821228Z [2022-11-23 01:29:37,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.3821551Z [2022-11-23 01:29:37,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.3821973Z [2022-11-23 01:29:37,826] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.3822069Z 2078 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.3822158Z 2 LOAD_ATTR 1 (ops) 2022-11-23T01:37:54.3822245Z 4 LOAD_ATTR 2 (aten) 2022-11-23T01:37:54.3822337Z 6 LOAD_METHOD 3 (convolution) 2022-11-23T01:37:54.3822342Z 2022-11-23T01:37:54.3822427Z 2079 8 LOAD_FAST 2 (arg16) 2022-11-23T01:37:54.3822510Z 10 LOAD_FAST 1 (arg7) 2022-11-23T01:37:54.3822637Z 12 LOAD_FAST 0 (arg6) 2022-11-23T01:37:54.3822718Z 14 LOAD_CONST 1 (4) 2022-11-23T01:37:54.3822800Z 16 LOAD_CONST 1 (4) 2022-11-23T01:37:54.3822881Z 18 BUILD_LIST 2 2022-11-23T01:37:54.3822961Z 20 LOAD_CONST 2 (2) 2022-11-23T01:37:54.3823037Z 22 LOAD_CONST 2 (2) 2022-11-23T01:37:54.3823116Z 24 BUILD_LIST 2 2022-11-23T01:37:54.3823194Z 26 LOAD_CONST 3 (1) 2022-11-23T01:37:54.3823271Z 28 LOAD_CONST 3 (1) 2022-11-23T01:37:54.3823349Z 30 BUILD_LIST 2 2022-11-23T01:37:54.3823437Z 32 LOAD_CONST 4 (False) 2022-11-23T01:37:54.3823514Z 34 LOAD_CONST 5 (0) 2022-11-23T01:37:54.3823587Z 36 LOAD_CONST 5 (0) 2022-11-23T01:37:54.3823664Z 38 BUILD_LIST 2 2022-11-23T01:37:54.3823744Z 40 LOAD_CONST 3 (1) 2022-11-23T01:37:54.3823822Z 42 CALL_METHOD 9 2022-11-23T01:37:54.3823917Z 44 STORE_FAST 3 (convolution) 2022-11-23T01:37:54.3823922Z 2022-11-23T01:37:54.3824009Z 2081 46 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.3824094Z 48 LOAD_ATTR 1 (ops) 2022-11-23T01:37:54.3824172Z 50 LOAD_ATTR 2 (aten) 2022-11-23T01:37:54.3824255Z 52 LOAD_METHOD 4 (relu) 2022-11-23T01:37:54.3824347Z 54 LOAD_FAST 3 (convolution) 2022-11-23T01:37:54.3824426Z 56 CALL_METHOD 1 2022-11-23T01:37:54.3824510Z 58 STORE_FAST 4 (relu) 2022-11-23T01:37:54.3824515Z 2022-11-23T01:37:54.3824598Z 2082 60 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.3824685Z 62 LOAD_ATTR 1 (ops) 2022-11-23T01:37:54.3824771Z 64 LOAD_ATTR 2 (aten) 2022-11-23T01:37:54.3824875Z 66 LOAD_METHOD 5 (max_pool2d_with_indices) 2022-11-23T01:37:54.3824880Z 2022-11-23T01:37:54.3824961Z 2083 68 LOAD_FAST 4 (relu) 2022-11-23T01:37:54.3825046Z 70 LOAD_CONST 6 (3) 2022-11-23T01:37:54.3825129Z 72 LOAD_CONST 6 (3) 2022-11-23T01:37:54.3825208Z 74 BUILD_LIST 2 2022-11-23T01:37:54.3825287Z 76 LOAD_CONST 2 (2) 2022-11-23T01:37:54.3825366Z 78 LOAD_CONST 2 (2) 2022-11-23T01:37:54.3825440Z 80 BUILD_LIST 2 2022-11-23T01:37:54.3825521Z 82 CALL_METHOD 3 2022-11-23T01:37:54.3825627Z 84 STORE_FAST 5 (max_pool2d_with_indices) 2022-11-23T01:37:54.3825632Z 2022-11-23T01:37:54.3825735Z 2085 86 LOAD_FAST 5 (max_pool2d_with_indices) 2022-11-23T01:37:54.3825818Z 88 LOAD_CONST 5 (0) 2022-11-23T01:37:54.3825891Z 90 BINARY_SUBSCR 2022-11-23T01:37:54.3825979Z 92 STORE_FAST 6 (getitem) 2022-11-23T01:37:54.3825984Z 2022-11-23T01:37:54.3826070Z 2086 94 LOAD_FAST 6 (getitem) 2022-11-23T01:37:54.3826190Z 96 BUILD_TUPLE 1 2022-11-23T01:37:54.3826261Z 98 RETURN_VALUE 2022-11-23T01:37:54.3826314Z 2022-11-23T01:37:54.3826318Z 2022-11-23T01:37:54.3826591Z [2022-11-23 01:29:37,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2078 2022-11-23T01:37:54.3826811Z [2022-11-23 01:29:37,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.3827182Z [2022-11-23 01:29:37,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:37:54.3827535Z [2022-11-23 01:29:37,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:37:54.3827851Z [2022-11-23 01:29:37,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution [TorchVariable()] 2022-11-23T01:37:54.3828212Z [2022-11-23 01:29:37,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2079 2022-11-23T01:37:54.3828483Z [2022-11-23 01:29:37,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg16 [TorchVariable(aten.convolution)] 2022-11-23T01:37:54.3828773Z [2022-11-23 01:29:37,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg7 [TorchVariable(aten.convolution), TensorVariable()] 2022-11-23T01:37:54.3829096Z [2022-11-23 01:29:37,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg6 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.3829446Z [2022-11-23 01:29:37,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.3829830Z [2022-11-23 01:29:37,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.3830254Z [2022-11-23 01:29:37,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.3830627Z [2022-11-23 01:29:37,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:37:54.3831036Z [2022-11-23 01:29:37,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.3831491Z [2022-11-23 01:29:37,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.3831886Z [2022-11-23 01:29:37,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:54.3832314Z [2022-11-23 01:29:37,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.3832783Z [2022-11-23 01:29:37,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.3833213Z [2022-11-23 01:29:37,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:54.3833706Z [2022-11-23 01:29:37,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:37:54.3834203Z [2022-11-23 01:29:37,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int)] 2022-11-23T01:37:54.3834736Z [2022-11-23 01:29:37,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.3835256Z [2022-11-23 01:29:37,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable()] 2022-11-23T01:37:54.3835790Z [2022-11-23 01:29:37,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 9 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.3836038Z [2022-11-23 01:29:37,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST convolution [TensorVariable()] 2022-11-23T01:37:54.3836310Z [2022-11-23 01:29:37,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2081 2022-11-23T01:37:54.3836525Z [2022-11-23 01:29:37,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.3836888Z [2022-11-23 01:29:37,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:37:54.3837180Z [2022-11-23 01:29:37,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:37:54.3837484Z [2022-11-23 01:29:37,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu [TorchVariable()] 2022-11-23T01:37:54.3837749Z [2022-11-23 01:29:37,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convolution [TorchVariable(aten.relu)] 2022-11-23T01:37:54.3838032Z [2022-11-23 01:29:37,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.relu), TensorVariable()] 2022-11-23T01:37:54.3838277Z [2022-11-23 01:29:37,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST relu [TensorVariable()] 2022-11-23T01:37:54.3838542Z [2022-11-23 01:29:37,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2082 2022-11-23T01:37:54.3838753Z [2022-11-23 01:29:37,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.3839116Z [2022-11-23 01:29:37,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:37:54.3839409Z [2022-11-23 01:29:37,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:37:54.3839741Z [2022-11-23 01:29:37,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable()] 2022-11-23T01:37:54.3840006Z [2022-11-23 01:29:37,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2083 2022-11-23T01:37:54.3840286Z [2022-11-23 01:29:37,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST relu [TorchVariable(aten.max_pool2d_with_indices)] 2022-11-23T01:37:54.3840622Z [2022-11-23 01:29:37,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()] 2022-11-23T01:37:54.3840965Z [2022-11-23 01:29:37,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.3841341Z [2022-11-23 01:29:37,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.3841670Z [2022-11-23 01:29:37,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()] 2022-11-23T01:37:54.3842068Z [2022-11-23 01:29:37,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.3842470Z [2022-11-23 01:29:37,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.3842824Z [2022-11-23 01:29:37,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:54.3843087Z [2022-11-23 01:29:37,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST max_pool2d_with_indices [TupleVariable()] 2022-11-23T01:37:54.3843347Z [2022-11-23 01:29:37,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2085 2022-11-23T01:37:54.3843589Z [2022-11-23 01:29:37,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST max_pool2d_with_indices [] 2022-11-23T01:37:54.3843826Z [2022-11-23 01:29:37,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TupleVariable()] 2022-11-23T01:37:54.3844111Z [2022-11-23 01:29:37,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.3844358Z [2022-11-23 01:29:37,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST getitem [TensorVariable()] 2022-11-23T01:37:54.3844625Z [2022-11-23 01:29:37,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2086 2022-11-23T01:37:54.3844840Z [2022-11-23 01:29:37,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST getitem [] 2022-11-23T01:37:54.3845080Z [2022-11-23 01:29:37,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:54.3845319Z [2022-11-23 01:29:37,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.3845651Z [2022-11-23 01:29:37,852] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.3845897Z [2022-11-23 01:29:37,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.3846126Z [2022-11-23 01:29:37,852] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.3846376Z [2022-11-23 01:29:37,854] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.3846623Z [2022-11-23 01:29:37,862] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.3846809Z [2022-11-23 01:29:37,863] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.3846948Z __compiled_fn_14 .98 opcode, name, target, args, kwargs 2022-11-23T01:37:54.3847036Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.3847112Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.3847190Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:37:54.3847374Z call_function, convolution, aten.convolution, (ex_2_, ex_1_, ex_0_, [4, 4], [2, 2], [1, 1], False, [0, 0], 1), {} 2022-11-23T01:37:54.3847486Z call_function, relu, aten.relu, (convolution,), {} 2022-11-23T01:37:54.3847640Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (relu, [3, 3], [2, 2]), {} 2022-11-23T01:37:54.3847862Z call_function, getitem, , (max_pool2d_with_indices, 0), {} 2022-11-23T01:37:54.3847957Z output, output, output, ((getitem,),), {} 2022-11-23T01:37:54.3847964Z 2022-11-23T01:37:54.3848239Z [2022-11-23 01:29:37,863] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.3848357Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.3848445Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.3848532Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.3848616Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.3848686Z 8 RETURN_VALUE 2022-11-23T01:37:54.3848692Z 2022-11-23T01:37:54.3848750Z 2022-11-23T01:37:54.3849026Z [2022-11-23 01:29:37,863] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.3849134Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_14) 2022-11-23T01:37:54.3849211Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.3849298Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.3849376Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.3849458Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.3849539Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.3849613Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.3849696Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.3849769Z 16 LOAD_CONST 3 (2) 2022-11-23T01:37:54.3849839Z 18 BINARY_SUBSCR 2022-11-23T01:37:54.3849924Z 20 CALL_FUNCTION 3 2022-11-23T01:37:54.3850027Z 22 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.3850125Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.3850208Z 26 LOAD_CONST 1 (0) 2022-11-23T01:37:54.3850279Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.3850355Z 30 BUILD_TUPLE 1 2022-11-23T01:37:54.3850426Z 32 RETURN_VALUE 2022-11-23T01:37:54.3850430Z 2022-11-23T01:37:54.3850485Z 2022-11-23T01:37:54.3850664Z [2022-11-23 01:29:37,864] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.3850733Z - 2022-11-23T01:37:54.3850850Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.3850915Z { 2022-11-23T01:37:54.3851047Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.3851232Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 3'], 2022-11-23T01:37:54.3851351Z 'obj_weakref': None 2022-11-23T01:37:54.3851575Z 'guarded_class': 2022-11-23T01:37:54.3851635Z } 2022-11-23T01:37:54.3851695Z 2022-11-23T01:37:54.3851762Z - 2022-11-23T01:37:54.3851877Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.3851939Z { 2022-11-23T01:37:54.3852080Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.3852186Z 'code': None, 2022-11-23T01:37:54.3852398Z 'obj_weakref': 2022-11-23T01:37:54.3852651Z 'guarded_class': 2022-11-23T01:37:54.3852714Z } 2022-11-23T01:37:54.3852766Z 2022-11-23T01:37:54.3852831Z - 2022-11-23T01:37:54.3852956Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.3853016Z { 2022-11-23T01:37:54.3853155Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.3853294Z 'code': None, 2022-11-23T01:37:54.3853507Z 'obj_weakref': 2022-11-23T01:37:54.3853751Z 'guarded_class': 2022-11-23T01:37:54.3853813Z } 2022-11-23T01:37:54.3853870Z 2022-11-23T01:37:54.3853937Z - 2022-11-23T01:37:54.3854057Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:37:54.3854120Z { 2022-11-23T01:37:54.3854260Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.3854356Z 'code': None, 2022-11-23T01:37:54.3854598Z 'obj_weakref': 2022-11-23T01:37:54.3854851Z 'guarded_class': 2022-11-23T01:37:54.3854911Z } 2022-11-23T01:37:54.3854969Z 2022-11-23T01:37:54.3855034Z - 2022-11-23T01:37:54.3855164Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.3855217Z { 2022-11-23T01:37:54.3855358Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.3855527Z 'code': ['___check_obj_id(model, 140538741556720)'], 2022-11-23T01:37:54.3855638Z 'obj_weakref': None 2022-11-23T01:37:54.3855867Z 'guarded_class': 2022-11-23T01:37:54.3855930Z } 2022-11-23T01:37:54.3855988Z 2022-11-23T01:37:54.3856053Z - 2022-11-23T01:37:54.3856176Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.3856237Z { 2022-11-23T01:37:54.3856361Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.3856576Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.3856693Z 'obj_weakref': None 2022-11-23T01:37:54.3856912Z 'guarded_class': 2022-11-23T01:37:54.3856973Z } 2022-11-23T01:37:54.3857030Z 2022-11-23T01:37:54.3857100Z - 2022-11-23T01:37:54.3857222Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.3857281Z { 2022-11-23T01:37:54.3857400Z 'guard_types': None, 2022-11-23T01:37:54.3857504Z 'code': None, 2022-11-23T01:37:54.3857619Z 'obj_weakref': None 2022-11-23T01:37:54.3857737Z 'guarded_class': None 2022-11-23T01:37:54.3857797Z } 2022-11-23T01:37:54.3857850Z 2022-11-23T01:37:54.3858108Z [2022-11-23 01:29:37,875] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 13 2022-11-23T01:37:54.3858316Z [2022-11-23 01:29:37,969] torch._inductor.scheduler: [DEBUG] removed dead node: buf2 2022-11-23T01:37:54.3858690Z [2022-11-23 01:29:39,381] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/oj/cojhsii4z2vlfltbcz3robt6yha6bw7wgazumzfecbj3v2vss53o.py 2022-11-23T01:37:54.3859234Z [2022-11-23 01:29:39,381] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 13 2022-11-23T01:37:54.3859241Z 2022-11-23T01:37:54.3859332Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.3859397Z import torch 2022-11-23T01:37:54.3859462Z import random 2022-11-23T01:37:54.3859566Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.3859682Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.3859688Z 2022-11-23T01:37:54.3859762Z aten = torch.ops.aten 2022-11-23T01:37:54.3859894Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.3859981Z async_compile = AsyncCompile() 2022-11-23T01:37:54.3859986Z 2022-11-23T01:37:54.3859991Z 2022-11-23T01:37:54.3860125Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.3860409Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.3860527Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.3860615Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.3860671Z { 2022-11-23T01:37:54.3860742Z #pragma GCC ivdep 2022-11-23T01:37:54.3860820Z for(long i0=0; i0<1024; i0+=1) 2022-11-23T01:37:54.3860878Z { 2022-11-23T01:37:54.3860952Z #pragma GCC ivdep 2022-11-23T01:37:54.3861031Z for(long i1=0; i1<27; i1+=1) 2022-11-23T01:37:54.3861082Z { 2022-11-23T01:37:54.3861156Z #pragma GCC ivdep 2022-11-23T01:37:54.3861236Z for(long i2=0; i2<27; i2+=1) 2022-11-23T01:37:54.3861339Z { 2022-11-23T01:37:54.3861400Z { 2022-11-23T01:37:54.3861462Z { 2022-11-23T01:37:54.3861568Z auto tmp0 = in_ptr0[(2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:37:54.3861671Z auto tmp3 = in_ptr0[1 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:37:54.3861783Z auto tmp9 = in_ptr0[2 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:37:54.3861894Z auto tmp15 = in_ptr0[55 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:37:54.3862005Z auto tmp21 = in_ptr0[56 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:37:54.3862113Z auto tmp27 = in_ptr0[57 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:37:54.3862226Z auto tmp33 = in_ptr0[110 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:37:54.3862331Z auto tmp39 = in_ptr0[111 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:37:54.3862437Z auto tmp45 = in_ptr0[112 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:37:54.3862522Z auto tmp1 = tmp0 * (tmp0>0); 2022-11-23T01:37:54.3862632Z auto tmp2 = static_cast((2*i2) + (110*i1)); 2022-11-23T01:37:54.3862727Z auto tmp4 = tmp3 * (tmp3>0); 2022-11-23T01:37:54.3862839Z auto tmp5 = static_cast(1 + (2*i2) + (110*i1)); 2022-11-23T01:37:54.3862930Z auto tmp6 = tmp4 > tmp1; 2022-11-23T01:37:54.3863029Z auto tmp7 = tmp6 ? tmp5 : tmp2; 2022-11-23T01:37:54.3863162Z auto tmp8 = std::max(tmp4, tmp1); 2022-11-23T01:37:54.3863258Z auto tmp10 = tmp9 * (tmp9>0); 2022-11-23T01:37:54.3863364Z auto tmp11 = static_cast(2 + (2*i2) + (110*i1)); 2022-11-23T01:37:54.3863456Z auto tmp12 = tmp10 > tmp8; 2022-11-23T01:37:54.3863556Z auto tmp13 = tmp12 ? tmp11 : tmp7; 2022-11-23T01:37:54.3863662Z auto tmp14 = std::max(tmp10, tmp8); 2022-11-23T01:37:54.3863758Z auto tmp16 = tmp15 * (tmp15>0); 2022-11-23T01:37:54.3863871Z auto tmp17 = static_cast(55 + (2*i2) + (110*i1)); 2022-11-23T01:37:54.3863966Z auto tmp18 = tmp16 > tmp14; 2022-11-23T01:37:54.3864056Z auto tmp19 = tmp18 ? tmp17 : tmp13; 2022-11-23T01:37:54.3864162Z auto tmp20 = std::max(tmp16, tmp14); 2022-11-23T01:37:54.3864258Z auto tmp22 = tmp21 * (tmp21>0); 2022-11-23T01:37:54.3864369Z auto tmp23 = static_cast(56 + (2*i2) + (110*i1)); 2022-11-23T01:37:54.3864458Z auto tmp24 = tmp22 > tmp20; 2022-11-23T01:37:54.3864557Z auto tmp25 = tmp24 ? tmp23 : tmp19; 2022-11-23T01:37:54.3864661Z auto tmp26 = std::max(tmp22, tmp20); 2022-11-23T01:37:54.3864756Z auto tmp28 = tmp27 * (tmp27>0); 2022-11-23T01:37:54.3864857Z auto tmp29 = static_cast(57 + (2*i2) + (110*i1)); 2022-11-23T01:37:54.3864945Z auto tmp30 = tmp28 > tmp26; 2022-11-23T01:37:54.3865072Z auto tmp31 = tmp30 ? tmp29 : tmp25; 2022-11-23T01:37:54.3865179Z auto tmp32 = std::max(tmp28, tmp26); 2022-11-23T01:37:54.3865270Z auto tmp34 = tmp33 * (tmp33>0); 2022-11-23T01:37:54.3865386Z auto tmp35 = static_cast(110 + (2*i2) + (110*i1)); 2022-11-23T01:37:54.3865474Z auto tmp36 = tmp34 > tmp32; 2022-11-23T01:37:54.3865570Z auto tmp37 = tmp36 ? tmp35 : tmp31; 2022-11-23T01:37:54.3865663Z auto tmp38 = std::max(tmp34, tmp32); 2022-11-23T01:37:54.3865758Z auto tmp40 = tmp39 * (tmp39>0); 2022-11-23T01:37:54.3865904Z auto tmp41 = static_cast(111 + (2*i2) + (110*i1)); 2022-11-23T01:37:54.3865992Z auto tmp42 = tmp40 > tmp38; 2022-11-23T01:37:54.3866090Z auto tmp43 = tmp42 ? tmp41 : tmp37; 2022-11-23T01:37:54.3866200Z auto tmp44 = std::max(tmp40, tmp38); 2022-11-23T01:37:54.3866293Z auto tmp46 = tmp45 * (tmp45>0); 2022-11-23T01:37:54.3866395Z auto tmp47 = static_cast(112 + (2*i2) + (110*i1)); 2022-11-23T01:37:54.3866483Z auto tmp48 = tmp46 > tmp44; 2022-11-23T01:37:54.3866581Z auto tmp49 = tmp48 ? tmp47 : tmp43; 2022-11-23T01:37:54.3866683Z auto tmp50 = std::max(tmp46, tmp44); 2022-11-23T01:37:54.3866781Z out_ptr0[i2 + (27*i1) + (729*i0)] = tmp50; 2022-11-23T01:37:54.3866845Z } 2022-11-23T01:37:54.3866911Z } 2022-11-23T01:37:54.3866972Z } 2022-11-23T01:37:54.3867022Z } 2022-11-23T01:37:54.3867084Z } 2022-11-23T01:37:54.3867142Z } 2022-11-23T01:37:54.3867221Z ''') 2022-11-23T01:37:54.3867227Z 2022-11-23T01:37:54.3867231Z 2022-11-23T01:37:54.3867316Z async_compile.wait(globals()) 2022-11-23T01:37:54.3867385Z del async_compile 2022-11-23T01:37:54.3867393Z 2022-11-23T01:37:54.3867458Z def call(args): 2022-11-23T01:37:54.3867526Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:54.3867593Z args.clear() 2022-11-23T01:37:54.3867727Z buf0 = aten.convolution(arg2_1, arg1_1, arg0_1, (4, 4), (2, 2), (1, 1), False, (0, 0), 1) 2022-11-23T01:37:54.3867837Z assert_size_stride(buf0, (16, 64, 55, 55), (193600, 3025, 55, 1)) 2022-11-23T01:37:54.3867899Z del arg0_1 2022-11-23T01:37:54.3867964Z del arg1_1 2022-11-23T01:37:54.3868025Z del arg2_1 2022-11-23T01:37:54.3868327Z buf1 = empty_strided((16, 64, 27, 27), (46656, 729, 27, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3868465Z kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:54.3868534Z return (buf1, ) 2022-11-23T01:37:54.3868540Z 2022-11-23T01:37:54.3868544Z 2022-11-23T01:37:54.3868614Z if __name__ == "__main__": 2022-11-23T01:37:54.3868727Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.3868850Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.3869049Z arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3869271Z arg1_1 = rand_strided((64, 3, 11, 11), (363, 121, 11, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3869489Z arg2_1 = rand_strided((16, 3, 224, 224), (150528, 50176, 224, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3869613Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:54.3869618Z 2022-11-23T01:37:54.3869683Z ok (1.732s) 2022-11-23T01:37:54.3869982Z test_any_cpu (__main__.CpuTests) ... [2022-11-23 01:29:39,466] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.3870263Z [2022-11-23 01:29:39,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.3870484Z [2022-11-23 01:29:39,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.3870782Z [2022-11-23 01:29:39,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.3871076Z [2022-11-23 01:29:39,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.3871400Z [2022-11-23 01:29:39,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.3871719Z [2022-11-23 01:29:39,467] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.3871865Z 3384 0 LOAD_FAST 0 (x) 2022-11-23T01:37:54.3871958Z 2 LOAD_METHOD 0 (any) 2022-11-23T01:37:54.3872100Z 4 LOAD_CONST 1 (-1) 2022-11-23T01:37:54.3872188Z 6 CALL_METHOD 1 2022-11-23T01:37:54.3872193Z 2022-11-23T01:37:54.3872284Z 3385 8 LOAD_FAST 0 (x) 2022-11-23T01:37:54.3872380Z 10 LOAD_METHOD 1 (isinf) 2022-11-23T01:37:54.3872466Z 12 CALL_METHOD 0 2022-11-23T01:37:54.3872544Z 14 LOAD_METHOD 0 (any) 2022-11-23T01:37:54.3872629Z 16 CALL_METHOD 0 2022-11-23T01:37:54.3872634Z 2022-11-23T01:37:54.3872725Z 3386 18 LOAD_GLOBAL 2 (torch) 2022-11-23T01:37:54.3872812Z 20 LOAD_ATTR 3 (all) 2022-11-23T01:37:54.3872901Z 22 LOAD_FAST 0 (x) 2022-11-23T01:37:54.3872993Z 24 LOAD_METHOD 1 (isinf) 2022-11-23T01:37:54.3873079Z 26 CALL_METHOD 0 2022-11-23T01:37:54.3873167Z 28 LOAD_CONST 2 (0) 2022-11-23T01:37:54.3873300Z 30 LOAD_CONST 3 (('dim',)) 2022-11-23T01:37:54.3873390Z 32 CALL_FUNCTION_KW 2 2022-11-23T01:37:54.3873398Z 2022-11-23T01:37:54.3873489Z 3387 34 LOAD_GLOBAL 2 (torch) 2022-11-23T01:37:54.3873577Z 36 LOAD_METHOD 3 (all) 2022-11-23T01:37:54.3873668Z 38 LOAD_GLOBAL 2 (torch) 2022-11-23T01:37:54.3873770Z 40 LOAD_METHOD 4 (logical_not) 2022-11-23T01:37:54.3873857Z 42 LOAD_FAST 0 (x) 2022-11-23T01:37:54.3873934Z 44 LOAD_METHOD 1 (isinf) 2022-11-23T01:37:54.3874018Z 46 CALL_METHOD 0 2022-11-23T01:37:54.3874101Z 48 CALL_METHOD 1 2022-11-23T01:37:54.3874190Z 50 CALL_METHOD 1 2022-11-23T01:37:54.3874277Z 52 BUILD_TUPLE 4 2022-11-23T01:37:54.3874354Z 54 RETURN_VALUE 2022-11-23T01:37:54.3874414Z 2022-11-23T01:37:54.3874419Z 2022-11-23T01:37:54.3874693Z [2022-11-23 01:29:39,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3384 2022-11-23T01:37:54.3874893Z [2022-11-23 01:29:39,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.3875138Z [2022-11-23 01:29:39,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable()] 2022-11-23T01:37:54.3875418Z [2022-11-23 01:29:39,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), any)] 2022-11-23T01:37:54.3875733Z [2022-11-23 01:29:39,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), any), ConstantVariable(int)] 2022-11-23T01:37:54.3876005Z [2022-11-23 01:29:39,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3385 2022-11-23T01:37:54.3876245Z [2022-11-23 01:29:39,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()] 2022-11-23T01:37:54.3876552Z [2022-11-23 01:29:39,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.3876864Z [2022-11-23 01:29:39,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), isinf)] 2022-11-23T01:37:54.3877133Z [2022-11-23 01:29:39,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.3877426Z [2022-11-23 01:29:39,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), any)] 2022-11-23T01:37:54.3877694Z [2022-11-23 01:29:39,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3386 2022-11-23T01:37:54.3878003Z [2022-11-23 01:29:39,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.3878436Z [2022-11-23 01:29:39,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.3878817Z [2022-11-23 01:29:39,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.3879230Z [2022-11-23 01:29:39,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.3879678Z [2022-11-23 01:29:39,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TorchVariable(), GetAttrVariable(TensorVariable(), isinf)] 2022-11-23T01:37:54.3880086Z [2022-11-23 01:29:39,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.3880542Z [2022-11-23 01:29:39,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dim',) [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.3881038Z [2022-11-23 01:29:39,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)] 2022-11-23T01:37:54.3881313Z [2022-11-23 01:29:39,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3387 2022-11-23T01:37:54.3881619Z [2022-11-23 01:29:39,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.3882071Z [2022-11-23 01:29:39,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.3882485Z [2022-11-23 01:29:39,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.3883059Z [2022-11-23 01:29:39,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_not [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TorchVariable()] 2022-11-23T01:37:54.3883617Z [2022-11-23 01:29:39,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TorchVariable()] 2022-11-23T01:37:54.3884175Z [2022-11-23 01:29:39,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.3884770Z [2022-11-23 01:29:39,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TorchVariable(), GetAttrVariable(TensorVariable(), isinf)] 2022-11-23T01:37:54.3885353Z [2022-11-23 01:29:39,478] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.3885793Z [2022-11-23 01:29:39,479] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.3886104Z [2022-11-23 01:29:39,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.3886357Z [2022-11-23 01:29:39,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.3886696Z [2022-11-23 01:29:39,480] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.3886946Z [2022-11-23 01:29:39,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.3887184Z [2022-11-23 01:29:39,480] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.3887440Z [2022-11-23 01:29:39,482] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.3887691Z [2022-11-23 01:29:39,489] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.3887883Z [2022-11-23 01:29:39,489] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.3888017Z __compiled_fn_15 .104 opcode, name, target, args, kwargs 2022-11-23T01:37:54.3888093Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.3888233Z call_method, any_1, any, (ex_0_, -1), {} 2022-11-23T01:37:54.3888326Z call_method, isinf, isinf, (ex_0_,), {} 2022-11-23T01:37:54.3888421Z call_method, any_2, any, (isinf,), {} 2022-11-23T01:37:54.3888514Z call_method, isinf_1, isinf, (ex_0_,), {} 2022-11-23T01:37:54.3888761Z call_function, all_1, , (isinf_1,), {'dim': 0} 2022-11-23T01:37:54.3888857Z call_method, isinf_2, isinf, (ex_0_,), {} 2022-11-23T01:37:54.3889113Z call_function, logical_not, , (isinf_2,), {} 2022-11-23T01:37:54.3889334Z call_function, all_2, , (logical_not,), {} 2022-11-23T01:37:54.3889453Z output, output, output, ((any_1, any_2, all_1, all_2),), {} 2022-11-23T01:37:54.3889459Z 2022-11-23T01:37:54.3889740Z [2022-11-23 01:29:39,490] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.3889839Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.3889930Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.3890023Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.3890112Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.3890186Z 8 RETURN_VALUE 2022-11-23T01:37:54.3890192Z 2022-11-23T01:37:54.3890271Z 2022-11-23T01:37:54.3890550Z [2022-11-23 01:29:39,490] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.3890659Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_15) 2022-11-23T01:37:54.3890750Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.3890837Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.3890913Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.3891001Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.3891091Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.3891225Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.3891313Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.3891389Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.3891488Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.3891578Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:54.3891653Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.3891739Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.3891825Z 26 LOAD_CONST 3 (2) 2022-11-23T01:37:54.3891898Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.3891999Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.3892085Z 32 LOAD_CONST 4 (3) 2022-11-23T01:37:54.3892158Z 34 BINARY_SUBSCR 2022-11-23T01:37:54.3892248Z 36 BUILD_TUPLE 4 2022-11-23T01:37:54.3892311Z 38 RETURN_VALUE 2022-11-23T01:37:54.3892328Z 2022-11-23T01:37:54.3892375Z 2022-11-23T01:37:54.3892560Z [2022-11-23 01:29:39,491] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.3892633Z - 2022-11-23T01:37:54.3892754Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.3892820Z { 2022-11-23T01:37:54.3892963Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.3893154Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.3893264Z 'obj_weakref': None 2022-11-23T01:37:54.3893490Z 'guarded_class': 2022-11-23T01:37:54.3893554Z } 2022-11-23T01:37:54.3893617Z 2022-11-23T01:37:54.3893689Z - 2022-11-23T01:37:54.3893820Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.3893870Z { 2022-11-23T01:37:54.3894014Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.3894126Z 'code': None, 2022-11-23T01:37:54.3894341Z 'obj_weakref': 2022-11-23T01:37:54.3894598Z 'guarded_class': 2022-11-23T01:37:54.3894666Z } 2022-11-23T01:37:54.3894727Z 2022-11-23T01:37:54.3894800Z - 2022-11-23T01:37:54.3894920Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.3894983Z { 2022-11-23T01:37:54.3895119Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.3895292Z 'code': ['___check_obj_id(model, 140539303353520)'], 2022-11-23T01:37:54.3895414Z 'obj_weakref': None 2022-11-23T01:37:54.3895647Z 'guarded_class': 2022-11-23T01:37:54.3895710Z } 2022-11-23T01:37:54.3895760Z 2022-11-23T01:37:54.3895831Z - 2022-11-23T01:37:54.3895956Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.3896019Z { 2022-11-23T01:37:54.3896155Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.3896372Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.3896495Z 'obj_weakref': None 2022-11-23T01:37:54.3896736Z 'guarded_class': 2022-11-23T01:37:54.3896803Z } 2022-11-23T01:37:54.3896864Z 2022-11-23T01:37:54.3896935Z - 2022-11-23T01:37:54.3897069Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.3897131Z { 2022-11-23T01:37:54.3897239Z 'guard_types': None, 2022-11-23T01:37:54.3897349Z 'code': None, 2022-11-23T01:37:54.3897469Z 'obj_weakref': None 2022-11-23T01:37:54.3897595Z 'guarded_class': None 2022-11-23T01:37:54.3897698Z } 2022-11-23T01:37:54.3897759Z 2022-11-23T01:37:54.3898025Z [2022-11-23 01:29:39,505] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 14 2022-11-23T01:37:54.3898394Z [2022-11-23 01:29:40,896] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/m5/cm5gm6pwz4ez7inx3eu5osi7tcs2ivjjmdeyzb7zvogwmuu3n3u6.py 2022-11-23T01:37:54.3898651Z [2022-11-23 01:29:40,897] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 14 2022-11-23T01:37:54.3899109Z [2022-11-23 01:29:40,902] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.3899394Z [2022-11-23 01:29:40,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.3899614Z [2022-11-23 01:29:40,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.3899871Z [2022-11-23 01:29:40,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.3900166Z [2022-11-23 01:29:40,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.3900493Z [2022-11-23 01:29:40,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.3900825Z [2022-11-23 01:29:40,903] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.3900920Z 3384 0 LOAD_FAST 0 (x) 2022-11-23T01:37:54.3901001Z 2 LOAD_METHOD 0 (any) 2022-11-23T01:37:54.3901144Z 4 LOAD_CONST 1 (-1) 2022-11-23T01:37:54.3901237Z 6 CALL_METHOD 1 2022-11-23T01:37:54.3901242Z 2022-11-23T01:37:54.3901330Z 3385 8 LOAD_FAST 0 (x) 2022-11-23T01:37:54.3901426Z 10 LOAD_METHOD 1 (isinf) 2022-11-23T01:37:54.3901514Z 12 CALL_METHOD 0 2022-11-23T01:37:54.3901605Z 14 LOAD_METHOD 0 (any) 2022-11-23T01:37:54.3901691Z 16 CALL_METHOD 0 2022-11-23T01:37:54.3901696Z 2022-11-23T01:37:54.3901776Z 3386 18 LOAD_GLOBAL 2 (torch) 2022-11-23T01:37:54.3901867Z 20 LOAD_ATTR 3 (all) 2022-11-23T01:37:54.3901956Z 22 LOAD_FAST 0 (x) 2022-11-23T01:37:54.3902046Z 24 LOAD_METHOD 1 (isinf) 2022-11-23T01:37:54.3902132Z 26 CALL_METHOD 0 2022-11-23T01:37:54.3902218Z 28 LOAD_CONST 2 (0) 2022-11-23T01:37:54.3902366Z 30 LOAD_CONST 3 (('dim',)) 2022-11-23T01:37:54.3902445Z 32 CALL_FUNCTION_KW 2 2022-11-23T01:37:54.3902464Z 2022-11-23T01:37:54.3902543Z 3387 34 LOAD_GLOBAL 2 (torch) 2022-11-23T01:37:54.3902637Z 36 LOAD_METHOD 3 (all) 2022-11-23T01:37:54.3902733Z 38 LOAD_GLOBAL 2 (torch) 2022-11-23T01:37:54.3902836Z 40 LOAD_METHOD 4 (logical_not) 2022-11-23T01:37:54.3902925Z 42 LOAD_FAST 0 (x) 2022-11-23T01:37:54.3903077Z 44 LOAD_METHOD 1 (isinf) 2022-11-23T01:37:54.3903165Z 46 CALL_METHOD 0 2022-11-23T01:37:54.3903240Z 48 CALL_METHOD 1 2022-11-23T01:37:54.3903326Z 50 CALL_METHOD 1 2022-11-23T01:37:54.3903413Z 52 BUILD_TUPLE 4 2022-11-23T01:37:54.3903490Z 54 RETURN_VALUE 2022-11-23T01:37:54.3903553Z 2022-11-23T01:37:54.3903558Z 2022-11-23T01:37:54.3903836Z [2022-11-23 01:29:40,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3384 2022-11-23T01:37:54.3904053Z [2022-11-23 01:29:40,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.3904331Z [2022-11-23 01:29:40,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable()] 2022-11-23T01:37:54.3904615Z [2022-11-23 01:29:40,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), any)] 2022-11-23T01:37:54.3904933Z [2022-11-23 01:29:40,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), any), ConstantVariable(int)] 2022-11-23T01:37:54.3905207Z [2022-11-23 01:29:40,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3385 2022-11-23T01:37:54.3905447Z [2022-11-23 01:29:40,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()] 2022-11-23T01:37:54.3905721Z [2022-11-23 01:29:40,905] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.3906035Z [2022-11-23 01:29:40,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), isinf)] 2022-11-23T01:37:54.3906310Z [2022-11-23 01:29:40,907] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.3906623Z [2022-11-23 01:29:40,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), any)] 2022-11-23T01:37:54.3906891Z [2022-11-23 01:29:40,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3386 2022-11-23T01:37:54.3907169Z [2022-11-23 01:29:40,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.3907584Z [2022-11-23 01:29:40,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.3907965Z [2022-11-23 01:29:40,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.3908475Z [2022-11-23 01:29:40,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.3908927Z [2022-11-23 01:29:40,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TorchVariable(), GetAttrVariable(TensorVariable(), isinf)] 2022-11-23T01:37:54.3909335Z [2022-11-23 01:29:40,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.3909793Z [2022-11-23 01:29:40,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dim',) [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.3910331Z [2022-11-23 01:29:40,910] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)] 2022-11-23T01:37:54.3910605Z [2022-11-23 01:29:40,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3387 2022-11-23T01:37:54.3910915Z [2022-11-23 01:29:40,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.3911368Z [2022-11-23 01:29:40,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.3911858Z [2022-11-23 01:29:40,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.3912435Z [2022-11-23 01:29:40,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_not [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TorchVariable()] 2022-11-23T01:37:54.3912961Z [2022-11-23 01:29:40,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TorchVariable()] 2022-11-23T01:37:54.3913515Z [2022-11-23 01:29:40,912] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.3914118Z [2022-11-23 01:29:40,913] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TorchVariable(), GetAttrVariable(TensorVariable(), isinf)] 2022-11-23T01:37:54.3914672Z [2022-11-23 01:29:40,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.3915110Z [2022-11-23 01:29:40,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.3915444Z [2022-11-23 01:29:40,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.3915697Z [2022-11-23 01:29:40,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.3916016Z [2022-11-23 01:29:40,916] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.3916267Z [2022-11-23 01:29:40,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.3916506Z [2022-11-23 01:29:40,916] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.3916771Z [2022-11-23 01:29:40,917] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.3917030Z [2022-11-23 01:29:40,925] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.3917226Z [2022-11-23 01:29:40,925] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.3917393Z __compiled_fn_16 .110 opcode, name, target, args, kwargs 2022-11-23T01:37:54.3917487Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.3917629Z call_method, any_1, any, (ex_0_, -1), {} 2022-11-23T01:37:54.3917713Z call_method, isinf, isinf, (ex_0_,), {} 2022-11-23T01:37:54.3917806Z call_method, any_2, any, (isinf,), {} 2022-11-23T01:37:54.3917904Z call_method, isinf_1, isinf, (ex_0_,), {} 2022-11-23T01:37:54.3918144Z call_function, all_1, , (isinf_1,), {'dim': 0} 2022-11-23T01:37:54.3918238Z call_method, isinf_2, isinf, (ex_0_,), {} 2022-11-23T01:37:54.3918544Z call_function, logical_not, , (isinf_2,), {} 2022-11-23T01:37:54.3918777Z call_function, all_2, , (logical_not,), {} 2022-11-23T01:37:54.3918882Z output, output, output, ((any_1, any_2, all_1, all_2),), {} 2022-11-23T01:37:54.3918900Z 2022-11-23T01:37:54.3919172Z [2022-11-23 01:29:40,926] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.3919268Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.3919360Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.3919452Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.3919544Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.3919620Z 8 RETURN_VALUE 2022-11-23T01:37:54.3919626Z 2022-11-23T01:37:54.3919685Z 2022-11-23T01:37:54.3919949Z [2022-11-23 01:29:40,926] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.3920060Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_16) 2022-11-23T01:37:54.3920148Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.3920236Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.3920313Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.3920402Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.3920505Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.3920605Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.3920680Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.3920755Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.3920855Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.3920941Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:54.3921014Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.3921115Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.3921201Z 26 LOAD_CONST 3 (2) 2022-11-23T01:37:54.3921263Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.3921363Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.3921448Z 32 LOAD_CONST 4 (3) 2022-11-23T01:37:54.3921523Z 34 BINARY_SUBSCR 2022-11-23T01:37:54.3921610Z 36 BUILD_TUPLE 4 2022-11-23T01:37:54.3921683Z 38 RETURN_VALUE 2022-11-23T01:37:54.3921688Z 2022-11-23T01:37:54.3921747Z 2022-11-23T01:37:54.3921918Z [2022-11-23 01:29:40,927] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.3921990Z - 2022-11-23T01:37:54.3922114Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.3922178Z { 2022-11-23T01:37:54.3922322Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.3922514Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.3922640Z 'obj_weakref': None 2022-11-23T01:37:54.3922855Z 'guarded_class': 2022-11-23T01:37:54.3922919Z } 2022-11-23T01:37:54.3922981Z 2022-11-23T01:37:54.3923053Z - 2022-11-23T01:37:54.3923223Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.3923287Z { 2022-11-23T01:37:54.3923430Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.3923528Z 'code': None, 2022-11-23T01:37:54.3923742Z 'obj_weakref': 2022-11-23T01:37:54.3923998Z 'guarded_class': 2022-11-23T01:37:54.3924062Z } 2022-11-23T01:37:54.3924123Z 2022-11-23T01:37:54.3924197Z - 2022-11-23T01:37:54.3924329Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.3924410Z { 2022-11-23T01:37:54.3924548Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.3924721Z 'code': ['___check_obj_id(model, 140539303353520)'], 2022-11-23T01:37:54.3924844Z 'obj_weakref': None 2022-11-23T01:37:54.3925082Z 'guarded_class': 2022-11-23T01:37:54.3925146Z } 2022-11-23T01:37:54.3925207Z 2022-11-23T01:37:54.3925264Z - 2022-11-23T01:37:54.3925385Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.3925449Z { 2022-11-23T01:37:54.3925588Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.3925806Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.3925927Z 'obj_weakref': None 2022-11-23T01:37:54.3926150Z 'guarded_class': 2022-11-23T01:37:54.3926203Z } 2022-11-23T01:37:54.3926263Z 2022-11-23T01:37:54.3926335Z - 2022-11-23T01:37:54.3926470Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.3926534Z { 2022-11-23T01:37:54.3926657Z 'guard_types': None, 2022-11-23T01:37:54.3926764Z 'code': None, 2022-11-23T01:37:54.3926872Z 'obj_weakref': None 2022-11-23T01:37:54.3926994Z 'guarded_class': None 2022-11-23T01:37:54.3927056Z } 2022-11-23T01:37:54.3927118Z 2022-11-23T01:37:54.3927381Z [2022-11-23 01:29:40,942] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 15 2022-11-23T01:37:54.3927755Z [2022-11-23 01:29:42,357] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4p/c4purdgw75nj4fqjrodcath6vhhc7kwbkgsl56rbkk4rk5tkuajd.py 2022-11-23T01:37:54.3928021Z [2022-11-23 01:29:42,358] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 15 2022-11-23T01:37:54.3928030Z 2022-11-23T01:37:54.3928122Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.3928180Z import torch 2022-11-23T01:37:54.3928250Z import random 2022-11-23T01:37:54.3928364Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.3928484Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.3928491Z 2022-11-23T01:37:54.3928570Z aten = torch.ops.aten 2022-11-23T01:37:54.3928703Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.3928793Z async_compile = AsyncCompile() 2022-11-23T01:37:54.3928798Z 2022-11-23T01:37:54.3928803Z 2022-11-23T01:37:54.3928938Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.3929134Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.3929249Z extern "C" void kernel(bool* __restrict__ in_out_ptr0, 2022-11-23T01:37:54.3929348Z bool* __restrict__ in_out_ptr1, 2022-11-23T01:37:54.3929457Z const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.3929552Z bool* __restrict__ out_ptr0, 2022-11-23T01:37:54.3929643Z bool* __restrict__ out_ptr1) 2022-11-23T01:37:54.3929707Z { 2022-11-23T01:37:54.3929779Z auto out_ptr2 = in_out_ptr0; 2022-11-23T01:37:54.3929895Z auto out_ptr3 = in_out_ptr1; 2022-11-23T01:37:54.3929958Z { 2022-11-23T01:37:54.3930022Z { 2022-11-23T01:37:54.3930098Z bool tmp2 = 0; 2022-11-23T01:37:54.3930171Z bool tmp4 = 0; 2022-11-23T01:37:54.3930242Z bool tmp8 = 0; 2022-11-23T01:37:54.3930306Z bool tmp10 = 0; 2022-11-23T01:37:54.3930391Z for(long i0=0; i0<64; i0+=1) 2022-11-23T01:37:54.3930453Z { 2022-11-23T01:37:54.3930515Z { 2022-11-23T01:37:54.3930606Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.3930710Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:37:54.3930846Z auto tmp3 = std::isinf(tmp0); 2022-11-23T01:37:54.3930934Z auto tmp5 = tmp3 == 0; 2022-11-23T01:37:54.3931039Z auto tmp6 = static_cast(tmp5); 2022-11-23T01:37:54.3931141Z auto tmp7 = static_cast(tmp6); 2022-11-23T01:37:54.3931227Z auto tmp9 = tmp5 == 0; 2022-11-23T01:37:54.3931312Z tmp2 = tmp2 || tmp1; 2022-11-23T01:37:54.3931398Z tmp4 = tmp4 || tmp3; 2022-11-23T01:37:54.3931479Z tmp8 = tmp8 || tmp7; 2022-11-23T01:37:54.3931553Z tmp10 = tmp10 || tmp9; 2022-11-23T01:37:54.3931616Z } 2022-11-23T01:37:54.3931678Z } 2022-11-23T01:37:54.3931755Z out_ptr0[0] = tmp2; 2022-11-23T01:37:54.3931832Z out_ptr1[0] = tmp4; 2022-11-23T01:37:54.3931905Z out_ptr2[0] = tmp8; 2022-11-23T01:37:54.3931969Z out_ptr3[0] = tmp10; 2022-11-23T01:37:54.3932032Z } 2022-11-23T01:37:54.3932092Z } 2022-11-23T01:37:54.3932153Z { 2022-11-23T01:37:54.3932215Z { 2022-11-23T01:37:54.3932298Z auto tmp0 = out_ptr2[0]; 2022-11-23T01:37:54.3932379Z auto tmp1 = tmp0 == 0; 2022-11-23T01:37:54.3932446Z in_out_ptr0[0] = tmp1; 2022-11-23T01:37:54.3932507Z } 2022-11-23T01:37:54.3932570Z } 2022-11-23T01:37:54.3932629Z { 2022-11-23T01:37:54.3932689Z { 2022-11-23T01:37:54.3932772Z auto tmp0 = out_ptr3[0]; 2022-11-23T01:37:54.3932840Z auto tmp1 = tmp0 == 0; 2022-11-23T01:37:54.3932916Z in_out_ptr1[0] = tmp1; 2022-11-23T01:37:54.3932975Z } 2022-11-23T01:37:54.3933035Z } 2022-11-23T01:37:54.3933095Z } 2022-11-23T01:37:54.3933180Z ''') 2022-11-23T01:37:54.3933185Z 2022-11-23T01:37:54.3933189Z 2022-11-23T01:37:54.3933277Z async_compile.wait(globals()) 2022-11-23T01:37:54.3933350Z del async_compile 2022-11-23T01:37:54.3933355Z 2022-11-23T01:37:54.3933414Z def call(args): 2022-11-23T01:37:54.3933482Z arg0_1, = args 2022-11-23T01:37:54.3933553Z args.clear() 2022-11-23T01:37:54.3933737Z buf0 = empty_strided((), (), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.3933917Z buf1 = empty_strided((), (), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.3934099Z buf2 = empty_strided((), (), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.3934274Z buf3 = empty_strided((), (), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.3934344Z buf4 = buf2; del buf2 # reuse 2022-11-23T01:37:54.3934424Z buf5 = buf3; del buf3 # reuse 2022-11-23T01:37:54.3934638Z kernel_cpp_0(c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:54.3934707Z del arg0_1 2022-11-23T01:37:54.3934793Z return (buf0, buf1, buf4, buf5, ) 2022-11-23T01:37:54.3934798Z 2022-11-23T01:37:54.3934802Z 2022-11-23T01:37:54.3934876Z if __name__ == "__main__": 2022-11-23T01:37:54.3934992Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.3935113Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.3935299Z arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3935407Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.3935412Z 2022-11-23T01:37:54.3935452Z 2022-11-23T01:37:54.3935547Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.3935616Z import torch 2022-11-23T01:37:54.3935686Z import random 2022-11-23T01:37:54.3935799Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.3935918Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.3935923Z 2022-11-23T01:37:54.3935999Z aten = torch.ops.aten 2022-11-23T01:37:54.3936122Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.3936215Z async_compile = AsyncCompile() 2022-11-23T01:37:54.3936220Z 2022-11-23T01:37:54.3936259Z 2022-11-23T01:37:54.3936399Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.3936606Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.3936720Z extern "C" void kernel(bool* __restrict__ in_out_ptr0, 2022-11-23T01:37:54.3936819Z bool* __restrict__ in_out_ptr1, 2022-11-23T01:37:54.3936926Z const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.3937021Z bool* __restrict__ out_ptr0, 2022-11-23T01:37:54.3937102Z bool* __restrict__ out_ptr1) 2022-11-23T01:37:54.3937163Z { 2022-11-23T01:37:54.3937247Z auto out_ptr3 = in_out_ptr0; 2022-11-23T01:37:54.3937332Z auto out_ptr2 = in_out_ptr1; 2022-11-23T01:37:54.3937407Z #pragma GCC ivdep 2022-11-23T01:37:54.3937485Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:37:54.3937532Z { 2022-11-23T01:37:54.3937593Z { 2022-11-23T01:37:54.3937654Z { 2022-11-23T01:37:54.3937733Z bool tmp2 = 0; 2022-11-23T01:37:54.3937822Z for(long i1=0; i1<8; i1+=1) 2022-11-23T01:37:54.3937887Z { 2022-11-23T01:37:54.3937952Z { 2022-11-23T01:37:54.3938040Z auto tmp0 = in_ptr0[i1 + (8*i0)]; 2022-11-23T01:37:54.3938146Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:37:54.3938237Z tmp2 = tmp2 || tmp1; 2022-11-23T01:37:54.3938304Z } 2022-11-23T01:37:54.3938369Z } 2022-11-23T01:37:54.3938450Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:54.3938514Z } 2022-11-23T01:37:54.3938562Z } 2022-11-23T01:37:54.3938623Z } 2022-11-23T01:37:54.3938684Z { 2022-11-23T01:37:54.3938887Z { 2022-11-23T01:37:54.3939009Z bool tmp2 = 0; 2022-11-23T01:37:54.3939134Z bool tmp5 = 0; 2022-11-23T01:37:54.3939217Z for(long i0=0; i0<128; i0+=1) 2022-11-23T01:37:54.3939285Z { 2022-11-23T01:37:54.3939348Z { 2022-11-23T01:37:54.3939439Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.3939545Z auto tmp1 = std::isinf(tmp0); 2022-11-23T01:37:54.3939635Z auto tmp3 = tmp1 == 0; 2022-11-23T01:37:54.3939721Z auto tmp4 = tmp3 == 0; 2022-11-23T01:37:54.3939795Z tmp2 = tmp2 || tmp1; 2022-11-23T01:37:54.3939882Z tmp5 = tmp5 || tmp4; 2022-11-23T01:37:54.3939952Z } 2022-11-23T01:37:54.3940016Z } 2022-11-23T01:37:54.3940094Z out_ptr1[0] = tmp2; 2022-11-23T01:37:54.3940170Z out_ptr2[0] = tmp5; 2022-11-23T01:37:54.3940233Z } 2022-11-23T01:37:54.3940282Z } 2022-11-23T01:37:54.3940361Z #pragma GCC ivdep 2022-11-23T01:37:54.3940436Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:54.3940496Z { 2022-11-23T01:37:54.3940558Z { 2022-11-23T01:37:54.3940621Z { 2022-11-23T01:37:54.3940700Z bool tmp5 = 0; 2022-11-23T01:37:54.3940777Z for(long i1=0; i1<16; i1+=1) 2022-11-23T01:37:54.3940840Z { 2022-11-23T01:37:54.3940905Z { 2022-11-23T01:37:54.3941006Z auto tmp0 = in_ptr0[i0 + (8*i1)]; 2022-11-23T01:37:54.3941110Z auto tmp1 = std::isinf(tmp0); 2022-11-23T01:37:54.3941269Z auto tmp2 = tmp1 == 0; 2022-11-23T01:37:54.3941380Z auto tmp3 = static_cast(tmp2); 2022-11-23T01:37:54.3941473Z auto tmp4 = static_cast(tmp3); 2022-11-23T01:37:54.3941559Z tmp5 = tmp5 || tmp4; 2022-11-23T01:37:54.3941627Z } 2022-11-23T01:37:54.3941690Z } 2022-11-23T01:37:54.3941769Z out_ptr3[i0] = tmp5; 2022-11-23T01:37:54.3941833Z } 2022-11-23T01:37:54.3941895Z } 2022-11-23T01:37:54.3941943Z } 2022-11-23T01:37:54.3942066Z #pragma GCC ivdep 2022-11-23T01:37:54.3942147Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:54.3942208Z { 2022-11-23T01:37:54.3942273Z { 2022-11-23T01:37:54.3942338Z { 2022-11-23T01:37:54.3942413Z auto tmp0 = out_ptr3[i0]; 2022-11-23T01:37:54.3942499Z auto tmp1 = tmp0 == 0; 2022-11-23T01:37:54.3942586Z in_out_ptr0[i0] = tmp1; 2022-11-23T01:37:54.3942650Z } 2022-11-23T01:37:54.3942715Z } 2022-11-23T01:37:54.3942781Z } 2022-11-23T01:37:54.3942843Z { 2022-11-23T01:37:54.3942890Z { 2022-11-23T01:37:54.3942974Z auto tmp0 = out_ptr2[0]; 2022-11-23T01:37:54.3943056Z auto tmp1 = tmp0 == 0; 2022-11-23T01:37:54.3943136Z in_out_ptr1[0] = tmp1; 2022-11-23T01:37:54.3943199Z } 2022-11-23T01:37:54.3943261Z } 2022-11-23T01:37:54.3943307Z } 2022-11-23T01:37:54.3943409Z ''') 2022-11-23T01:37:54.3943415Z 2022-11-23T01:37:54.3943419Z 2022-11-23T01:37:54.3943513Z async_compile.wait(globals()) 2022-11-23T01:37:54.3943586Z del async_compile 2022-11-23T01:37:54.3943591Z 2022-11-23T01:37:54.3943661Z def call(args): 2022-11-23T01:37:54.3943732Z arg0_1, = args 2022-11-23T01:37:54.3943803Z args.clear() 2022-11-23T01:37:54.3944002Z buf0 = empty_strided((16, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.3944176Z buf1 = empty_strided((), (), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.3944356Z buf3 = empty_strided((), (), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.3944547Z buf2 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.3944634Z buf4 = buf2; del buf2 # reuse 2022-11-23T01:37:54.3944717Z buf5 = buf3; del buf3 # reuse 2022-11-23T01:37:54.3944932Z kernel_cpp_0(c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:54.3945001Z del arg0_1 2022-11-23T01:37:54.3945080Z return (buf0, buf1, buf4, buf5, ) 2022-11-23T01:37:54.3945099Z 2022-11-23T01:37:54.3945103Z 2022-11-23T01:37:54.3945165Z if __name__ == "__main__": 2022-11-23T01:37:54.3945279Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.3945402Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.3945607Z arg0_1 = rand_strided((16, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3945719Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.3945724Z 2022-11-23T01:37:54.3945792Z ok (2.899s) 2022-11-23T01:37:54.3946109Z test_arange1_cpu (__main__.CpuTests) ... [2022-11-23 01:29:42,365] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.3946387Z [2022-11-23 01:29:42,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.3946598Z [2022-11-23 01:29:42,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.3946861Z [2022-11-23 01:29:42,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.3947154Z [2022-11-23 01:29:42,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.3947518Z [2022-11-23 01:29:42,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.3947855Z [2022-11-23 01:29:42,366] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.3947955Z 879 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.3948048Z 2 LOAD_ATTR 1 (arange) 2022-11-23T01:37:54.3948209Z 4 LOAD_CONST 1 (64) 2022-11-23T01:37:54.3948309Z 6 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.3948392Z 8 LOAD_ATTR 2 (float32) 2022-11-23T01:37:54.3948519Z 10 LOAD_FAST 0 (x) 2022-11-23T01:37:54.3948610Z 12 LOAD_ATTR 3 (device) 2022-11-23T01:37:54.3948779Z 14 LOAD_CONST 2 (('dtype', 'device')) 2022-11-23T01:37:54.3948873Z 16 CALL_FUNCTION_KW 3 2022-11-23T01:37:54.3948972Z 18 LOAD_METHOD 4 (view) 2022-11-23T01:37:54.3949065Z 20 LOAD_CONST 3 (8) 2022-11-23T01:37:54.3949139Z 22 LOAD_CONST 3 (8) 2022-11-23T01:37:54.3949228Z 24 CALL_METHOD 2 2022-11-23T01:37:54.3949324Z 26 STORE_FAST 1 (rng1) 2022-11-23T01:37:54.3949330Z 2022-11-23T01:37:54.3949421Z 880 28 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.3949510Z 30 LOAD_ATTR 1 (arange) 2022-11-23T01:37:54.3949600Z 32 LOAD_CONST 4 (10) 2022-11-23T01:37:54.3949690Z 34 LOAD_CONST 5 (18) 2022-11-23T01:37:54.3949766Z 36 LOAD_FAST 0 (x) 2022-11-23T01:37:54.3949855Z 38 LOAD_ATTR 3 (device) 2022-11-23T01:37:54.3950007Z 40 LOAD_CONST 6 (('device',)) 2022-11-23T01:37:54.3950097Z 42 CALL_FUNCTION_KW 3 2022-11-23T01:37:54.3950190Z 44 STORE_FAST 2 (rng2) 2022-11-23T01:37:54.3950195Z 2022-11-23T01:37:54.3950282Z 881 46 LOAD_FAST 0 (x) 2022-11-23T01:37:54.3950371Z 48 LOAD_FAST 1 (rng1) 2022-11-23T01:37:54.3950450Z 50 BINARY_MULTIPLY 2022-11-23T01:37:54.3950528Z 52 STORE_FAST 3 (tmp) 2022-11-23T01:37:54.3950532Z 2022-11-23T01:37:54.3950621Z 882 54 LOAD_FAST 3 (tmp) 2022-11-23T01:37:54.3950708Z 56 LOAD_FAST 3 (tmp) 2022-11-23T01:37:54.3950794Z 58 LOAD_FAST 2 (rng2) 2022-11-23T01:37:54.3950870Z 60 BINARY_ADD 2022-11-23T01:37:54.3950956Z 62 BUILD_TUPLE 2 2022-11-23T01:37:54.3951029Z 64 RETURN_VALUE 2022-11-23T01:37:54.3951077Z 2022-11-23T01:37:54.3951093Z 2022-11-23T01:37:54.3951357Z [2022-11-23 01:29:42,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:879 2022-11-23T01:37:54.3951580Z [2022-11-23 01:29:42,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.3951953Z [2022-11-23 01:29:42,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TorchVariable()] 2022-11-23T01:37:54.3952283Z [2022-11-23 01:29:42,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [TorchVariable()] 2022-11-23T01:37:54.3952651Z [2022-11-23 01:29:42,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.3953210Z [2022-11-23 01:29:42,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float32 [TorchVariable(), ConstantVariable(int), TorchVariable()] 2022-11-23T01:37:54.3953625Z [2022-11-23 01:29:42,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(), ConstantVariable(int), ConstantVariable(dtype)] 2022-11-23T01:37:54.3954061Z [2022-11-23 01:29:42,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(), ConstantVariable(int), ConstantVariable(dtype), TensorVariable()] 2022-11-23T01:37:54.3954522Z [2022-11-23 01:29:42,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype', 'device') [TorchVariable(), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cpu)] 2022-11-23T01:37:54.3955044Z [2022-11-23 01:29:42,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cpu), ConstantVariable(tuple)] 2022-11-23T01:37:54.3955288Z [2022-11-23 01:29:42,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:37:54.3955565Z [2022-11-23 01:29:42,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:37:54.3955881Z [2022-11-23 01:29:42,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [GetAttrVariable(TensorVariable(), view), ConstantVariable(int)] 2022-11-23T01:37:54.3956219Z [2022-11-23 01:29:42,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [GetAttrVariable(TensorVariable(), view), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.3956472Z [2022-11-23 01:29:42,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST rng1 [TensorVariable()] 2022-11-23T01:37:54.3956743Z [2022-11-23 01:29:42,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:880 2022-11-23T01:37:54.3956965Z [2022-11-23 01:29:42,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.3957332Z [2022-11-23 01:29:42,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TorchVariable()] 2022-11-23T01:37:54.3957658Z [2022-11-23 01:29:42,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable()] 2022-11-23T01:37:54.3958019Z [2022-11-23 01:29:42,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 18 [TorchVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.3958417Z [2022-11-23 01:29:42,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.3958850Z [2022-11-23 01:29:42,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(), ConstantVariable(int), ConstantVariable(int), TensorVariable()] 2022-11-23T01:37:54.3959293Z [2022-11-23 01:29:42,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(), ConstantVariable(int), ConstantVariable(int), TorchVariable(cpu)] 2022-11-23T01:37:54.3959771Z [2022-11-23 01:29:42,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(), ConstantVariable(int), ConstantVariable(int), TorchVariable(cpu), ConstantVariable(tuple)] 2022-11-23T01:37:54.3960021Z [2022-11-23 01:29:42,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST rng2 [TensorVariable()] 2022-11-23T01:37:54.3960315Z [2022-11-23 01:29:42,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:881 2022-11-23T01:37:54.3960529Z [2022-11-23 01:29:42,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.3960774Z [2022-11-23 01:29:42,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rng1 [TensorVariable()] 2022-11-23T01:37:54.3961060Z [2022-11-23 01:29:42,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.3961301Z [2022-11-23 01:29:42,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp [TensorVariable()] 2022-11-23T01:37:54.3961570Z [2022-11-23 01:29:42,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:882 2022-11-23T01:37:54.3961834Z [2022-11-23 01:29:42,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [] 2022-11-23T01:37:54.3962079Z [2022-11-23 01:29:42,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable()] 2022-11-23T01:37:54.3962355Z [2022-11-23 01:29:42,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rng2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.3962658Z [2022-11-23 01:29:42,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.3962917Z [2022-11-23 01:29:42,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.3963165Z [2022-11-23 01:29:42,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.3963497Z [2022-11-23 01:29:42,375] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.3963747Z [2022-11-23 01:29:42,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.3963985Z [2022-11-23 01:29:42,375] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.3964243Z [2022-11-23 01:29:42,376] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.3964496Z [2022-11-23 01:29:42,382] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.3964686Z [2022-11-23 01:29:42,382] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.3964820Z __compiled_fn_17 .116 opcode, name, target, args, kwargs 2022-11-23T01:37:54.3964897Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.3965211Z call_function, arange, , (64,), {'dtype': torch.float32, 'device': device(type='cpu')} 2022-11-23T01:37:54.3965315Z call_method, view, view, (arange, 8, 8), {} 2022-11-23T01:37:54.3965593Z call_function, arange_1, , (10, 18), {'device': device(type='cpu')} 2022-11-23T01:37:54.3965775Z call_function, mul, , (ex_0_, view), {} 2022-11-23T01:37:54.3965960Z call_function, add, , (mul, arange_1), {} 2022-11-23T01:37:54.3966059Z output, output, output, ((mul, add),), {} 2022-11-23T01:37:54.3966064Z 2022-11-23T01:37:54.3966344Z [2022-11-23 01:29:42,382] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.3966427Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.3966516Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.3966607Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.3966697Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.3966773Z 8 RETURN_VALUE 2022-11-23T01:37:54.3966779Z 2022-11-23T01:37:54.3966838Z 2022-11-23T01:37:54.3967111Z [2022-11-23 01:29:42,382] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.3967252Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_17) 2022-11-23T01:37:54.3967330Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.3967422Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.3967499Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.3967586Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.3967691Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.3967791Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.3967878Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.3967942Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.3968079Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.3968165Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:54.3968239Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.3968325Z 24 BUILD_TUPLE 2 2022-11-23T01:37:54.3968399Z 26 RETURN_VALUE 2022-11-23T01:37:54.3968406Z 2022-11-23T01:37:54.3968466Z 2022-11-23T01:37:54.3968638Z [2022-11-23 01:29:42,383] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.3968711Z - 2022-11-23T01:37:54.3968832Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.3968896Z { 2022-11-23T01:37:54.3969039Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.3969230Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.3969356Z 'obj_weakref': None 2022-11-23T01:37:54.3969571Z 'guarded_class': 2022-11-23T01:37:54.3969638Z } 2022-11-23T01:37:54.3969700Z 2022-11-23T01:37:54.3969771Z - 2022-11-23T01:37:54.3969898Z local 'ex[0]' TYPE_MATCH 2022-11-23T01:37:54.3969961Z { 2022-11-23T01:37:54.3970102Z 'guard_types': ['TYPE_MATCH'], 2022-11-23T01:37:54.3970264Z 'code': ['___check_type_id(ex[0], 93851459086816)'], 2022-11-23T01:37:54.3970480Z 'obj_weakref': 2022-11-23T01:37:54.3970737Z 'guarded_class': 2022-11-23T01:37:54.3970800Z } 2022-11-23T01:37:54.3970862Z 2022-11-23T01:37:54.3970933Z - 2022-11-23T01:37:54.3971060Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.3971111Z { 2022-11-23T01:37:54.3971253Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.3971362Z 'code': None, 2022-11-23T01:37:54.3971579Z 'obj_weakref': 2022-11-23T01:37:54.3971834Z 'guarded_class': 2022-11-23T01:37:54.3971896Z } 2022-11-23T01:37:54.3971959Z 2022-11-23T01:37:54.3972018Z - 2022-11-23T01:37:54.3972153Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.3972216Z { 2022-11-23T01:37:54.3972351Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.3972522Z 'code': ['___check_obj_id(model, 140538743809520)'], 2022-11-23T01:37:54.3972641Z 'obj_weakref': None 2022-11-23T01:37:54.3972876Z 'guarded_class': 2022-11-23T01:37:54.3972938Z } 2022-11-23T01:37:54.3972987Z 2022-11-23T01:37:54.3973057Z - 2022-11-23T01:37:54.3973184Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.3973246Z { 2022-11-23T01:37:54.3973385Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.3973603Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.3973711Z 'obj_weakref': None 2022-11-23T01:37:54.3973964Z 'guarded_class': 2022-11-23T01:37:54.3974030Z } 2022-11-23T01:37:54.3974091Z 2022-11-23T01:37:54.3974162Z - 2022-11-23T01:37:54.3974301Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.3974363Z { 2022-11-23T01:37:54.3974473Z 'guard_types': None, 2022-11-23T01:37:54.3974581Z 'code': None, 2022-11-23T01:37:54.3974699Z 'obj_weakref': None 2022-11-23T01:37:54.3974822Z 'guarded_class': None 2022-11-23T01:37:54.3974885Z } 2022-11-23T01:37:54.3974981Z 2022-11-23T01:37:54.3975051Z - 2022-11-23T01:37:54.3975193Z global 'torch.float32' CONSTANT_MATCH 2022-11-23T01:37:54.3975256Z { 2022-11-23T01:37:54.3975400Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:54.3975576Z 'code': ["str(torch.float32) == 'torch.float32'"], 2022-11-23T01:37:54.3975697Z 'obj_weakref': None 2022-11-23T01:37:54.3975924Z 'guarded_class': 2022-11-23T01:37:54.3975986Z } 2022-11-23T01:37:54.3976034Z 2022-11-23T01:37:54.3976300Z [2022-11-23 01:29:42,394] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 16 2022-11-23T01:37:54.3976674Z [2022-11-23 01:29:43,765] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xu/cxu466so2rt3fatkhfyvlrxpsnama4mo4jzgqnedbr3r4gbsq6cz.py 2022-11-23T01:37:54.3976940Z [2022-11-23 01:29:43,766] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 16 2022-11-23T01:37:54.3976949Z 2022-11-23T01:37:54.3977043Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.3977111Z import torch 2022-11-23T01:37:54.3977178Z import random 2022-11-23T01:37:54.3977292Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.3977402Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.3977407Z 2022-11-23T01:37:54.3977484Z aten = torch.ops.aten 2022-11-23T01:37:54.3977617Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.3977708Z async_compile = AsyncCompile() 2022-11-23T01:37:54.3977713Z 2022-11-23T01:37:54.3977717Z 2022-11-23T01:37:54.3977852Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.3978058Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.3978175Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.3978277Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.3978361Z float* __restrict__ out_ptr1) 2022-11-23T01:37:54.3978419Z { 2022-11-23T01:37:54.3978494Z #pragma GCC ivdep 2022-11-23T01:37:54.3978574Z for(long i0=0; i0<64; i0+=1) 2022-11-23T01:37:54.3978634Z { 2022-11-23T01:37:54.3978697Z { 2022-11-23T01:37:54.3978911Z { 2022-11-23T01:37:54.3979040Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.3979181Z auto tmp1 = static_cast(i0); 2022-11-23T01:37:54.3979274Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:54.3979358Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:54.3979421Z } 2022-11-23T01:37:54.3979482Z } 2022-11-23T01:37:54.3979542Z } 2022-11-23T01:37:54.3979604Z #pragma GCC ivdep 2022-11-23T01:37:54.3979685Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:54.3979744Z { 2022-11-23T01:37:54.3979821Z #pragma GCC ivdep 2022-11-23T01:37:54.3979905Z for(long i1=0; i1<8; i1+=1) 2022-11-23T01:37:54.3979966Z { 2022-11-23T01:37:54.3980016Z { 2022-11-23T01:37:54.3980079Z { 2022-11-23T01:37:54.3980181Z auto tmp0 = out_ptr0[i1 + (8*i0)]; 2022-11-23T01:37:54.3980290Z auto tmp1 = static_cast(10 + i1); 2022-11-23T01:37:54.3980460Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:37:54.3980555Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:37:54.3980647Z out_ptr1[i1 + (8*i0)] = tmp3; 2022-11-23T01:37:54.3980698Z } 2022-11-23T01:37:54.3980760Z } 2022-11-23T01:37:54.3980821Z } 2022-11-23T01:37:54.3980881Z } 2022-11-23T01:37:54.3980940Z } 2022-11-23T01:37:54.3981030Z ''') 2022-11-23T01:37:54.3981035Z 2022-11-23T01:37:54.3981040Z 2022-11-23T01:37:54.3981128Z async_compile.wait(globals()) 2022-11-23T01:37:54.3981186Z del async_compile 2022-11-23T01:37:54.3981191Z 2022-11-23T01:37:54.3981320Z def call(args): 2022-11-23T01:37:54.3981389Z arg0_1, = args 2022-11-23T01:37:54.3981459Z args.clear() 2022-11-23T01:37:54.3981659Z buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3981855Z buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3982019Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:54.3982086Z del arg0_1 2022-11-23T01:37:54.3982149Z return (buf0, buf1, ) 2022-11-23T01:37:54.3982154Z 2022-11-23T01:37:54.3982159Z 2022-11-23T01:37:54.3982234Z if __name__ == "__main__": 2022-11-23T01:37:54.3982346Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.3982468Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.3982667Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.3982775Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.3982782Z 2022-11-23T01:37:54.3982850Z ok (1.407s) 2022-11-23T01:37:54.3983158Z test_arange2_cpu (__main__.CpuTests) ... [2022-11-23 01:29:43,772] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.3983418Z [2022-11-23 01:29:43,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.3983639Z [2022-11-23 01:29:43,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.3983898Z [2022-11-23 01:29:43,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.3984188Z [2022-11-23 01:29:43,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.3984514Z [2022-11-23 01:29:43,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.3984847Z [2022-11-23 01:29:43,773] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.3984943Z 888 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.3985033Z 2 LOAD_ATTR 1 (arange) 2022-11-23T01:37:54.3985121Z 4 LOAD_CONST 1 (8) 2022-11-23T01:37:54.3985200Z 6 LOAD_FAST 0 (x) 2022-11-23T01:37:54.3985290Z 8 LOAD_ATTR 2 (device) 2022-11-23T01:37:54.3985446Z 10 LOAD_CONST 2 (('device',)) 2022-11-23T01:37:54.3985540Z 12 CALL_FUNCTION_KW 2 2022-11-23T01:37:54.3985635Z 14 STORE_FAST 1 (rng1) 2022-11-23T01:37:54.3985640Z 2022-11-23T01:37:54.3985730Z 889 16 LOAD_FAST 0 (x) 2022-11-23T01:37:54.3985822Z 18 LOAD_FAST 1 (rng1) 2022-11-23T01:37:54.3985883Z 20 BINARY_ADD 2022-11-23T01:37:54.3985974Z 22 BUILD_TUPLE 1 2022-11-23T01:37:54.3986051Z 24 RETURN_VALUE 2022-11-23T01:37:54.3986113Z 2022-11-23T01:37:54.3986118Z 2022-11-23T01:37:54.3986390Z [2022-11-23 01:29:43,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:888 2022-11-23T01:37:54.3986650Z [2022-11-23 01:29:43,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.3987029Z [2022-11-23 01:29:43,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TorchVariable()] 2022-11-23T01:37:54.3987357Z [2022-11-23 01:29:43,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TorchVariable()] 2022-11-23T01:37:54.3987720Z [2022-11-23 01:29:43,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.3988217Z [2022-11-23 01:29:43,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:37:54.3988627Z [2022-11-23 01:29:43,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(), ConstantVariable(int), TorchVariable(cpu)] 2022-11-23T01:37:54.3989076Z [2022-11-23 01:29:43,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(), ConstantVariable(int), TorchVariable(cpu), ConstantVariable(tuple)] 2022-11-23T01:37:54.3989324Z [2022-11-23 01:29:43,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST rng1 [TensorVariable()] 2022-11-23T01:37:54.3989594Z [2022-11-23 01:29:43,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:889 2022-11-23T01:37:54.3989808Z [2022-11-23 01:29:43,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.3990055Z [2022-11-23 01:29:43,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rng1 [TensorVariable()] 2022-11-23T01:37:54.3990335Z [2022-11-23 01:29:43,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.3990583Z [2022-11-23 01:29:43,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:54.3990833Z [2022-11-23 01:29:43,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.3991169Z [2022-11-23 01:29:43,777] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.3991406Z [2022-11-23 01:29:43,777] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.3991650Z [2022-11-23 01:29:43,777] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.3991907Z [2022-11-23 01:29:43,778] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.3992164Z [2022-11-23 01:29:43,781] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.3992360Z [2022-11-23 01:29:43,782] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.3992497Z __compiled_fn_18 .122 opcode, name, target, args, kwargs 2022-11-23T01:37:54.3992590Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.3992865Z call_function, arange, , (8,), {'device': device(type='cpu')} 2022-11-23T01:37:54.3993050Z call_function, add, , (ex_0_, arange), {} 2022-11-23T01:37:54.3993134Z output, output, output, ((add,),), {} 2022-11-23T01:37:54.3993141Z 2022-11-23T01:37:54.3993423Z [2022-11-23 01:29:43,782] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.3993520Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.3993612Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.3993747Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.3993844Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.3993922Z 8 RETURN_VALUE 2022-11-23T01:37:54.3993927Z 2022-11-23T01:37:54.3993991Z 2022-11-23T01:37:54.3994256Z [2022-11-23 01:29:43,782] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.3994369Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_18) 2022-11-23T01:37:54.3994460Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.3994548Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.3994660Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.3994751Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.3994858Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.3994947Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.3995039Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.3995121Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.3995212Z 18 BUILD_TUPLE 1 2022-11-23T01:37:54.3995290Z 20 RETURN_VALUE 2022-11-23T01:37:54.3995295Z 2022-11-23T01:37:54.3995355Z 2022-11-23T01:37:54.3995541Z [2022-11-23 01:29:43,783] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.3995600Z - 2022-11-23T01:37:54.3995720Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.3995787Z { 2022-11-23T01:37:54.3995932Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.3996119Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.3996245Z 'obj_weakref': None 2022-11-23T01:37:54.3996472Z 'guarded_class': 2022-11-23T01:37:54.3996524Z } 2022-11-23T01:37:54.3996586Z 2022-11-23T01:37:54.3996655Z - 2022-11-23T01:37:54.3996782Z local 'ex[0]' TYPE_MATCH 2022-11-23T01:37:54.3996846Z { 2022-11-23T01:37:54.3996987Z 'guard_types': ['TYPE_MATCH'], 2022-11-23T01:37:54.3997159Z 'code': ['___check_type_id(ex[0], 93851459086816)'], 2022-11-23T01:37:54.3997364Z 'obj_weakref': 2022-11-23T01:37:54.3997620Z 'guarded_class': 2022-11-23T01:37:54.3997684Z } 2022-11-23T01:37:54.3997747Z 2022-11-23T01:37:54.3997816Z - 2022-11-23T01:37:54.3997944Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.3998007Z { 2022-11-23T01:37:54.3998137Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.3998247Z 'code': None, 2022-11-23T01:37:54.3998461Z 'obj_weakref': 2022-11-23T01:37:54.3998717Z 'guarded_class': 2022-11-23T01:37:54.3998781Z } 2022-11-23T01:37:54.3998844Z 2022-11-23T01:37:54.3998915Z - 2022-11-23T01:37:54.3999035Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.3999096Z { 2022-11-23T01:37:54.3999232Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.3999405Z 'code': ['___check_obj_id(model, 140538731334112)'], 2022-11-23T01:37:54.3999526Z 'obj_weakref': None 2022-11-23T01:37:54.3999760Z 'guarded_class': 2022-11-23T01:37:54.3999827Z } 2022-11-23T01:37:54.3999878Z 2022-11-23T01:37:54.3999948Z - 2022-11-23T01:37:54.4000070Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.4000134Z { 2022-11-23T01:37:54.4000272Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.4000526Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.4000649Z 'obj_weakref': None 2022-11-23T01:37:54.4000860Z 'guarded_class': 2022-11-23T01:37:54.4000922Z } 2022-11-23T01:37:54.4000984Z 2022-11-23T01:37:54.4001055Z - 2022-11-23T01:37:54.4001189Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.4001251Z { 2022-11-23T01:37:54.4001371Z 'guard_types': None, 2022-11-23T01:37:54.4001502Z 'code': None, 2022-11-23T01:37:54.4001620Z 'obj_weakref': None 2022-11-23T01:37:54.4001741Z 'guarded_class': None 2022-11-23T01:37:54.4001803Z } 2022-11-23T01:37:54.4001865Z 2022-11-23T01:37:54.4002126Z [2022-11-23 01:29:43,789] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 17 2022-11-23T01:37:54.4002494Z [2022-11-23 01:29:45,162] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hy/chy42nroiukf47yqt67jw5zypgarjm5m5dahnweldfaul3srfffp.py 2022-11-23T01:37:54.4002758Z [2022-11-23 01:29:45,162] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 17 2022-11-23T01:37:54.4002765Z 2022-11-23T01:37:54.4002846Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.4002914Z import torch 2022-11-23T01:37:54.4002982Z import random 2022-11-23T01:37:54.4003096Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.4003214Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.4003222Z 2022-11-23T01:37:54.4003299Z aten = torch.ops.aten 2022-11-23T01:37:54.4003431Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.4003511Z async_compile = AsyncCompile() 2022-11-23T01:37:54.4003527Z 2022-11-23T01:37:54.4003532Z 2022-11-23T01:37:54.4003652Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.4003858Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.4003976Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:37:54.4004071Z long* __restrict__ out_ptr0) 2022-11-23T01:37:54.4004131Z { 2022-11-23T01:37:54.4004205Z #pragma GCC ivdep 2022-11-23T01:37:54.4004284Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:54.4004331Z { 2022-11-23T01:37:54.4004409Z #pragma GCC ivdep 2022-11-23T01:37:54.4004489Z for(long i1=0; i1<8; i1+=1) 2022-11-23T01:37:54.4004552Z { 2022-11-23T01:37:54.4004616Z { 2022-11-23T01:37:54.4004680Z { 2022-11-23T01:37:54.4004779Z auto tmp0 = in_ptr0[i1 + (8*i0)]; 2022-11-23T01:37:54.4004869Z auto tmp1 = static_cast(i1); 2022-11-23T01:37:54.4004960Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.4005054Z out_ptr0[i1 + (8*i0)] = tmp2; 2022-11-23T01:37:54.4005120Z } 2022-11-23T01:37:54.4005183Z } 2022-11-23T01:37:54.4005243Z } 2022-11-23T01:37:54.4005291Z } 2022-11-23T01:37:54.4005348Z } 2022-11-23T01:37:54.4005429Z ''') 2022-11-23T01:37:54.4005434Z 2022-11-23T01:37:54.4005439Z 2022-11-23T01:37:54.4005527Z async_compile.wait(globals()) 2022-11-23T01:37:54.4005599Z del async_compile 2022-11-23T01:37:54.4005603Z 2022-11-23T01:37:54.4005672Z def call(args): 2022-11-23T01:37:54.4005744Z arg0_1, = args 2022-11-23T01:37:54.4005814Z args.clear() 2022-11-23T01:37:54.4005995Z buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.4006130Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.4006196Z del arg0_1 2022-11-23T01:37:54.4006267Z return (buf0, ) 2022-11-23T01:37:54.4006272Z 2022-11-23T01:37:54.4006276Z 2022-11-23T01:37:54.4006350Z if __name__ == "__main__": 2022-11-23T01:37:54.4006496Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.4006620Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.4006804Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.4006912Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.4006916Z 2022-11-23T01:37:54.4006982Z ok (1.396s) 2022-11-23T01:37:54.4007290Z test_arange3_cpu (__main__.CpuTests) ... [2022-11-23 01:29:45,169] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.4007564Z [2022-11-23 01:29:45,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.4007835Z [2022-11-23 01:29:45,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.4008092Z [2022-11-23 01:29:45,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.4008385Z [2022-11-23 01:29:45,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.4008712Z [2022-11-23 01:29:45,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.4009041Z [2022-11-23 01:29:45,170] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.4009121Z 895 0 LOAD_FAST 0 (x) 2022-11-23T01:37:54.4009215Z 2 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.4009309Z 4 LOAD_ATTR 1 (ops) 2022-11-23T01:37:54.4009397Z 6 LOAD_ATTR 2 (aten) 2022-11-23T01:37:54.4009487Z 8 LOAD_ATTR 3 (arange) 2022-11-23T01:37:54.4009584Z 10 LOAD_ATTR 4 (start_step) 2022-11-23T01:37:54.4009589Z 2022-11-23T01:37:54.4009679Z 896 12 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4009755Z 14 LOAD_CONST 2 (53) 2022-11-23T01:37:54.4009843Z 16 LOAD_CONST 3 (4) 2022-11-23T01:37:54.4009934Z 18 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.4010021Z 20 LOAD_ATTR 5 (int64) 2022-11-23T01:37:54.4010107Z 22 LOAD_FAST 0 (x) 2022-11-23T01:37:54.4010195Z 24 LOAD_ATTR 6 (device) 2022-11-23T01:37:54.4010361Z 26 LOAD_CONST 4 (('dtype', 'device')) 2022-11-23T01:37:54.4010455Z 28 CALL_FUNCTION_KW 5 2022-11-23T01:37:54.4010516Z 30 BINARY_ADD 2022-11-23T01:37:54.4010590Z 32 RETURN_VALUE 2022-11-23T01:37:54.4010649Z 2022-11-23T01:37:54.4010654Z 2022-11-23T01:37:54.4010929Z [2022-11-23 01:29:45,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:895 2022-11-23T01:37:54.4011145Z [2022-11-23 01:29:45,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.4011397Z [2022-11-23 01:29:45,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:37:54.4011793Z [2022-11-23 01:29:45,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4012113Z [2022-11-23 01:29:45,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4012456Z [2022-11-23 01:29:45,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4012740Z [2022-11-23 01:29:45,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR start_step [TensorVariable(), TorchVariable(aten.arange)] 2022-11-23T01:37:54.4013074Z [2022-11-23 01:29:45,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:896 2022-11-23T01:37:54.4013382Z [2022-11-23 01:29:45,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.arange.start_step)] 2022-11-23T01:37:54.4013724Z [2022-11-23 01:29:45,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 53 [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int)] 2022-11-23T01:37:54.4014104Z [2022-11-23 01:29:45,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4014567Z [2022-11-23 01:29:45,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4015143Z [2022-11-23 01:29:45,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR int64 [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), TorchVariable()] 2022-11-23T01:37:54.4015596Z [2022-11-23 01:29:45,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype)] 2022-11-23T01:37:54.4016088Z [2022-11-23 01:29:45,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TensorVariable()] 2022-11-23T01:37:54.4016605Z [2022-11-23 01:29:45,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype', 'device') [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cpu)] 2022-11-23T01:37:54.4017147Z [2022-11-23 01:29:45,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TensorVariable(), TorchVariable(aten.arange.start_step), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cpu), ConstantVariable(tuple)] 2022-11-23T01:37:54.4017431Z [2022-11-23 01:29:45,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4017684Z [2022-11-23 01:29:45,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.4018020Z [2022-11-23 01:29:45,181] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.4018260Z [2022-11-23 01:29:45,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.4018498Z [2022-11-23 01:29:45,181] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.4018907Z [2022-11-23 01:29:45,182] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.4019240Z [2022-11-23 01:29:45,185] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.4019442Z [2022-11-23 01:29:45,186] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.4019579Z __compiled_fn_19 .128 opcode, name, target, args, kwargs 2022-11-23T01:37:54.4019675Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.4019955Z call_function, arange_start_step, aten.arange.start_step, (0, 53, 4), {'dtype': torch.int64, 'device': device(type='cpu')} 2022-11-23T01:37:54.4020160Z call_function, add, , (ex_0_, arange_start_step), {} 2022-11-23T01:37:54.4020300Z output, output, output, ((add,),), {} 2022-11-23T01:37:54.4020309Z 2022-11-23T01:37:54.4020591Z [2022-11-23 01:29:45,186] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4020684Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.4020774Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4020867Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.4020957Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.4021033Z 8 RETURN_VALUE 2022-11-23T01:37:54.4021038Z 2022-11-23T01:37:54.4021099Z 2022-11-23T01:37:54.4021402Z [2022-11-23 01:29:45,186] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4021510Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_19) 2022-11-23T01:37:54.4021599Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4021687Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4021766Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.4021855Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.4021945Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.4022007Z 12 RETURN_VALUE 2022-11-23T01:37:54.4022012Z 2022-11-23T01:37:54.4022071Z 2022-11-23T01:37:54.4022258Z [2022-11-23 01:29:45,187] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.4022329Z - 2022-11-23T01:37:54.4022450Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.4022513Z { 2022-11-23T01:37:54.4022656Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.4022838Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.4022960Z 'obj_weakref': None 2022-11-23T01:37:54.4023185Z 'guarded_class': 2022-11-23T01:37:54.4023251Z } 2022-11-23T01:37:54.4023314Z 2022-11-23T01:37:54.4023386Z - 2022-11-23T01:37:54.4023512Z local 'ex[0]' TYPE_MATCH 2022-11-23T01:37:54.4023563Z { 2022-11-23T01:37:54.4023703Z 'guard_types': ['TYPE_MATCH'], 2022-11-23T01:37:54.4023876Z 'code': ['___check_type_id(ex[0], 93851459086816)'], 2022-11-23T01:37:54.4024096Z 'obj_weakref': 2022-11-23T01:37:54.4024354Z 'guarded_class': 2022-11-23T01:37:54.4024419Z } 2022-11-23T01:37:54.4024484Z 2022-11-23T01:37:54.4024541Z - 2022-11-23T01:37:54.4024665Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.4024727Z { 2022-11-23T01:37:54.4024874Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4024984Z 'code': None, 2022-11-23T01:37:54.4025201Z 'obj_weakref': 2022-11-23T01:37:54.4025456Z 'guarded_class': 2022-11-23T01:37:54.4025520Z } 2022-11-23T01:37:54.4025572Z 2022-11-23T01:37:54.4025642Z - 2022-11-23T01:37:54.4025774Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.4025836Z { 2022-11-23T01:37:54.4025972Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.4026143Z 'code': ['___check_obj_id(model, 140538731082096)'], 2022-11-23T01:37:54.4026251Z 'obj_weakref': None 2022-11-23T01:37:54.4026483Z 'guarded_class': 2022-11-23T01:37:54.4026547Z } 2022-11-23T01:37:54.4026611Z 2022-11-23T01:37:54.4026680Z - 2022-11-23T01:37:54.4026801Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.4026864Z { 2022-11-23T01:37:54.4027026Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.4027247Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.4027368Z 'obj_weakref': None 2022-11-23T01:37:54.4027590Z 'guarded_class': 2022-11-23T01:37:54.4027651Z } 2022-11-23T01:37:54.4027712Z 2022-11-23T01:37:54.4027782Z - 2022-11-23T01:37:54.4027903Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.4027966Z { 2022-11-23T01:37:54.4028185Z 'guard_types': None, 2022-11-23T01:37:54.4028305Z 'code': None, 2022-11-23T01:37:54.4028426Z 'obj_weakref': None 2022-11-23T01:37:54.4028548Z 'guarded_class': None 2022-11-23T01:37:54.4028610Z } 2022-11-23T01:37:54.4028659Z 2022-11-23T01:37:54.4028729Z - 2022-11-23T01:37:54.4028880Z global 'torch.int64' CONSTANT_MATCH 2022-11-23T01:37:54.4028945Z { 2022-11-23T01:37:54.4029089Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:54.4029258Z 'code': ["str(torch.int64) == 'torch.int64'"], 2022-11-23T01:37:54.4029379Z 'obj_weakref': None 2022-11-23T01:37:54.4029594Z 'guarded_class': 2022-11-23T01:37:54.4029659Z } 2022-11-23T01:37:54.4029722Z 2022-11-23T01:37:54.4029989Z [2022-11-23 01:29:45,193] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 18 2022-11-23T01:37:54.4030366Z [2022-11-23 01:29:46,565] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xu/cxuc7m7sighjy265dvod5y4r4vlwkuk2ns3szjklstgyrcfpvyqy.py 2022-11-23T01:37:54.4030634Z [2022-11-23 01:29:46,565] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 18 2022-11-23T01:37:54.4030641Z 2022-11-23T01:37:54.4030740Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.4030811Z import torch 2022-11-23T01:37:54.4030867Z import random 2022-11-23T01:37:54.4030984Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.4031106Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.4031111Z 2022-11-23T01:37:54.4031190Z aten = torch.ops.aten 2022-11-23T01:37:54.4031325Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.4031418Z async_compile = AsyncCompile() 2022-11-23T01:37:54.4031423Z 2022-11-23T01:37:54.4031427Z 2022-11-23T01:37:54.4031569Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.4031779Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.4031887Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.4031987Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.4032049Z { 2022-11-23T01:37:54.4032130Z #pragma GCC ivdep 2022-11-23T01:37:54.4032214Z for(long i0=0; i0<14; i0+=1) 2022-11-23T01:37:54.4032278Z { 2022-11-23T01:37:54.4032344Z { 2022-11-23T01:37:54.4032394Z { 2022-11-23T01:37:54.4032483Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.4032587Z auto tmp1 = static_cast(4*i0); 2022-11-23T01:37:54.4032693Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:37:54.4032781Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:37:54.4032867Z out_ptr0[i0] = tmp3; 2022-11-23T01:37:54.4032933Z } 2022-11-23T01:37:54.4032985Z } 2022-11-23T01:37:54.4033047Z } 2022-11-23T01:37:54.4033108Z } 2022-11-23T01:37:54.4033191Z ''') 2022-11-23T01:37:54.4033196Z 2022-11-23T01:37:54.4033200Z 2022-11-23T01:37:54.4033292Z async_compile.wait(globals()) 2022-11-23T01:37:54.4033365Z del async_compile 2022-11-23T01:37:54.4033370Z 2022-11-23T01:37:54.4033440Z def call(args): 2022-11-23T01:37:54.4033531Z arg0_1, = args 2022-11-23T01:37:54.4033606Z args.clear() 2022-11-23T01:37:54.4033805Z buf0 = empty_strided((14, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4033941Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.4034012Z del arg0_1 2022-11-23T01:37:54.4034084Z return (buf0, ) 2022-11-23T01:37:54.4034089Z 2022-11-23T01:37:54.4034093Z 2022-11-23T01:37:54.4034170Z if __name__ == "__main__": 2022-11-23T01:37:54.4034272Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.4034396Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.4034632Z arg0_1 = rand_strided((14, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4034741Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.4034746Z 2022-11-23T01:37:54.4034814Z ok (1.403s) 2022-11-23T01:37:54.4035126Z test_arange4_cpu (__main__.CpuTests) ... [2022-11-23 01:29:46,572] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.4035403Z [2022-11-23 01:29:46,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.4035626Z [2022-11-23 01:29:46,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.4035886Z [2022-11-23 01:29:46,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.4036162Z [2022-11-23 01:29:46,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.4036494Z [2022-11-23 01:29:46,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.4036824Z [2022-11-23 01:29:46,573] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.4036920Z 903 0 LOAD_FAST 0 (x) 2022-11-23T01:37:54.4037015Z 2 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.4037108Z 4 LOAD_ATTR 1 (arange) 2022-11-23T01:37:54.4037197Z 6 LOAD_CONST 1 (512) 2022-11-23T01:37:54.4037339Z 8 LOAD_CONST 2 (-512) 2022-11-23T01:37:54.4037466Z 10 LOAD_CONST 3 (-1.0) 2022-11-23T01:37:54.4037560Z 12 LOAD_FAST 0 (x) 2022-11-23T01:37:54.4037649Z 14 LOAD_ATTR 2 (device) 2022-11-23T01:37:54.4037801Z 16 LOAD_CONST 4 (('device',)) 2022-11-23T01:37:54.4037891Z 18 CALL_FUNCTION_KW 4 2022-11-23T01:37:54.4037969Z 20 BINARY_SUBTRACT 2022-11-23T01:37:54.4038042Z 22 RETURN_VALUE 2022-11-23T01:37:54.4038088Z 2022-11-23T01:37:54.4038104Z 2022-11-23T01:37:54.4038365Z [2022-11-23 01:29:46,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:903 2022-11-23T01:37:54.4038576Z [2022-11-23 01:29:46,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.4038828Z [2022-11-23 01:29:46,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:37:54.4039231Z [2022-11-23 01:29:46,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4039588Z [2022-11-23 01:29:46,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 512 [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4039989Z [2022-11-23 01:29:46,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -512 [TensorVariable(), TorchVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4040450Z [2022-11-23 01:29:46,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1.0 [TensorVariable(), TorchVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4040922Z [2022-11-23 01:29:46,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(float)] 2022-11-23T01:37:54.4041429Z [2022-11-23 01:29:46,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(float), TensorVariable()] 2022-11-23T01:37:54.4041978Z [2022-11-23 01:29:46,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TorchVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(float), TorchVariable(cpu)] 2022-11-23T01:37:54.4042528Z [2022-11-23 01:29:46,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 4 [TensorVariable(), TorchVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(float), TorchVariable(cpu), ConstantVariable(tuple)] 2022-11-23T01:37:54.4042813Z [2022-11-23 01:29:46,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4043064Z [2022-11-23 01:29:46,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.4043385Z [2022-11-23 01:29:46,576] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.4043635Z [2022-11-23 01:29:46,576] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.4043874Z [2022-11-23 01:29:46,577] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.4044128Z [2022-11-23 01:29:46,578] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.4044380Z [2022-11-23 01:29:46,581] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.4044570Z [2022-11-23 01:29:46,581] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.4044705Z __compiled_fn_20 .134 opcode, name, target, args, kwargs 2022-11-23T01:37:54.4044798Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.4045088Z call_function, arange, , (512, -512, -1.0), {'device': device(type='cpu')} 2022-11-23T01:37:54.4045256Z call_function, sub, , (ex_0_, arange), {} 2022-11-23T01:37:54.4045350Z output, output, output, ((sub,),), {} 2022-11-23T01:37:54.4045360Z 2022-11-23T01:37:54.4045638Z [2022-11-23 01:29:46,581] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4045731Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.4045821Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4045912Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.4046001Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.4046075Z 8 RETURN_VALUE 2022-11-23T01:37:54.4046081Z 2022-11-23T01:37:54.4046128Z 2022-11-23T01:37:54.4046404Z [2022-11-23 01:29:46,582] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4046511Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_20) 2022-11-23T01:37:54.4046599Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4046687Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4046794Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.4046883Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.4046961Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.4047034Z 12 RETURN_VALUE 2022-11-23T01:37:54.4047040Z 2022-11-23T01:37:54.4047098Z 2022-11-23T01:37:54.4047285Z [2022-11-23 01:29:46,582] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.4047357Z - 2022-11-23T01:37:54.4047477Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.4047543Z { 2022-11-23T01:37:54.4047674Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.4047897Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.4048020Z 'obj_weakref': None 2022-11-23T01:37:54.4048246Z 'guarded_class': 2022-11-23T01:37:54.4048311Z } 2022-11-23T01:37:54.4048374Z 2022-11-23T01:37:54.4048446Z - 2022-11-23T01:37:54.4048571Z local 'ex[0]' TYPE_MATCH 2022-11-23T01:37:54.4048622Z { 2022-11-23T01:37:54.4048764Z 'guard_types': ['TYPE_MATCH'], 2022-11-23T01:37:54.4048935Z 'code': ['___check_type_id(ex[0], 93851459086816)'], 2022-11-23T01:37:54.4049153Z 'obj_weakref': 2022-11-23T01:37:54.4049411Z 'guarded_class': 2022-11-23T01:37:54.4049475Z } 2022-11-23T01:37:54.4049538Z 2022-11-23T01:37:54.4049595Z - 2022-11-23T01:37:54.4049720Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.4049783Z { 2022-11-23T01:37:54.4049929Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4050036Z 'code': None, 2022-11-23T01:37:54.4050254Z 'obj_weakref': 2022-11-23T01:37:54.4050511Z 'guarded_class': 2022-11-23T01:37:54.4050562Z } 2022-11-23T01:37:54.4050622Z 2022-11-23T01:37:54.4050695Z - 2022-11-23T01:37:54.4050827Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.4050889Z { 2022-11-23T01:37:54.4051026Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.4051198Z 'code': ['___check_obj_id(model, 140538730928176)'], 2022-11-23T01:37:54.4051306Z 'obj_weakref': None 2022-11-23T01:37:54.4051540Z 'guarded_class': 2022-11-23T01:37:54.4051603Z } 2022-11-23T01:37:54.4051665Z 2022-11-23T01:37:54.4051735Z - 2022-11-23T01:37:54.4051859Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.4051920Z { 2022-11-23T01:37:54.4052048Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.4052267Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.4052386Z 'obj_weakref': None 2022-11-23T01:37:54.4052608Z 'guarded_class': 2022-11-23T01:37:54.4052669Z } 2022-11-23T01:37:54.4052729Z 2022-11-23T01:37:54.4052798Z - 2022-11-23T01:37:54.4052920Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.4052983Z { 2022-11-23T01:37:54.4053107Z 'guard_types': None, 2022-11-23T01:37:54.4053216Z 'code': None, 2022-11-23T01:37:54.4053334Z 'obj_weakref': None 2022-11-23T01:37:54.4053457Z 'guarded_class': None 2022-11-23T01:37:54.4053507Z } 2022-11-23T01:37:54.4053567Z 2022-11-23T01:37:54.4053862Z [2022-11-23 01:29:46,588] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 19 2022-11-23T01:37:54.4054236Z [2022-11-23 01:29:47,951] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tc/ctc5x7dlds6mv2cnq72kwr4pbzdtggnbi2gviu4zdng5exc6v5kc.py 2022-11-23T01:37:54.4054502Z [2022-11-23 01:29:47,952] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 19 2022-11-23T01:37:54.4054508Z 2022-11-23T01:37:54.4054600Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.4054668Z import torch 2022-11-23T01:37:54.4054737Z import random 2022-11-23T01:37:54.4054840Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.4055008Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.4055014Z 2022-11-23T01:37:54.4055093Z aten = torch.ops.aten 2022-11-23T01:37:54.4055225Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.4055317Z async_compile = AsyncCompile() 2022-11-23T01:37:54.4055322Z 2022-11-23T01:37:54.4055327Z 2022-11-23T01:37:54.4055465Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.4055672Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.4055792Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.4055892Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.4055940Z { 2022-11-23T01:37:54.4056015Z #pragma GCC ivdep 2022-11-23T01:37:54.4056096Z for(long i0=0; i0<1024; i0+=1) 2022-11-23T01:37:54.4056155Z { 2022-11-23T01:37:54.4056218Z { 2022-11-23T01:37:54.4056279Z { 2022-11-23T01:37:54.4056355Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.4056522Z auto tmp1 = static_cast(512 + ((-1)*i0)); 2022-11-23T01:37:54.4056627Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:37:54.4056759Z auto tmp3 = tmp0 - tmp2; 2022-11-23T01:37:54.4056841Z out_ptr0[i0] = tmp3; 2022-11-23T01:37:54.4056909Z } 2022-11-23T01:37:54.4056970Z } 2022-11-23T01:37:54.4057017Z } 2022-11-23T01:37:54.4057077Z } 2022-11-23T01:37:54.4057157Z ''') 2022-11-23T01:37:54.4057162Z 2022-11-23T01:37:54.4057166Z 2022-11-23T01:37:54.4057255Z async_compile.wait(globals()) 2022-11-23T01:37:54.4057328Z del async_compile 2022-11-23T01:37:54.4057333Z 2022-11-23T01:37:54.4057401Z def call(args): 2022-11-23T01:37:54.4057468Z arg0_1, = args 2022-11-23T01:37:54.4057526Z args.clear() 2022-11-23T01:37:54.4057726Z buf0 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4057861Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.4057931Z del arg0_1 2022-11-23T01:37:54.4058001Z return (buf0, ) 2022-11-23T01:37:54.4058005Z 2022-11-23T01:37:54.4058009Z 2022-11-23T01:37:54.4058085Z if __name__ == "__main__": 2022-11-23T01:37:54.4058197Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.4058320Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.4058507Z arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4058613Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.4058618Z 2022-11-23T01:37:54.4058684Z ok (1.387s) 2022-11-23T01:37:54.4059219Z test_argmax_argmin1_cpu (__main__.CpuTests) ... [2022-11-23 01:29:47,966] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.4059498Z [2022-11-23 01:29:47,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.4059724Z [2022-11-23 01:29:47,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.4059982Z [2022-11-23 01:29:47,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.4060336Z [2022-11-23 01:29:47,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.4060668Z [2022-11-23 01:29:47,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.4060985Z [2022-11-23 01:29:47,966] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.4061083Z 4248 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.4061179Z 2 LOAD_METHOD 1 (argmax) 2022-11-23T01:37:54.4061270Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:54.4061404Z 6 CALL_METHOD 1 2022-11-23T01:37:54.4061496Z 8 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.4061588Z 10 LOAD_METHOD 2 (argmin) 2022-11-23T01:37:54.4061676Z 12 LOAD_FAST 0 (x) 2022-11-23T01:37:54.4061752Z 14 CALL_METHOD 1 2022-11-23T01:37:54.4061841Z 16 BUILD_TUPLE 2 2022-11-23T01:37:54.4061917Z 18 RETURN_VALUE 2022-11-23T01:37:54.4061976Z 2022-11-23T01:37:54.4061981Z 2022-11-23T01:37:54.4062253Z [2022-11-23 01:29:47,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4248 2022-11-23T01:37:54.4062471Z [2022-11-23 01:29:47,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.4062782Z [2022-11-23 01:29:47,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TorchVariable()] 2022-11-23T01:37:54.4063042Z [2022-11-23 01:29:47,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.argmax)] 2022-11-23T01:37:54.4063322Z [2022-11-23 01:29:47,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.argmax), TensorVariable()] 2022-11-23T01:37:54.4063572Z [2022-11-23 01:29:47,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:54.4063907Z [2022-11-23 01:29:47,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4064192Z [2022-11-23 01:29:47,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.argmin)] 2022-11-23T01:37:54.4064510Z [2022-11-23 01:29:47,979] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.argmin), TensorVariable()] 2022-11-23T01:37:54.4064784Z [2022-11-23 01:29:47,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4065033Z [2022-11-23 01:29:47,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.4065373Z [2022-11-23 01:29:47,980] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.4065621Z [2022-11-23 01:29:47,980] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.4065859Z [2022-11-23 01:29:47,980] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.4066101Z [2022-11-23 01:29:47,982] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.4066352Z [2022-11-23 01:29:47,985] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.4066545Z [2022-11-23 01:29:47,985] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.4066681Z __compiled_fn_21 .140 opcode, name, target, args, kwargs 2022-11-23T01:37:54.4066769Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.4066878Z call_function, argmax, aten.argmax, (ex_0_,), {} 2022-11-23T01:37:54.4067023Z call_function, argmin, aten.argmin, (ex_0_,), {} 2022-11-23T01:37:54.4067134Z output, output, output, ((argmax, argmin),), {} 2022-11-23T01:37:54.4067139Z 2022-11-23T01:37:54.4067407Z [2022-11-23 01:29:47,985] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4067500Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.4067588Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4067678Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.4067766Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.4067841Z 8 RETURN_VALUE 2022-11-23T01:37:54.4067877Z 2022-11-23T01:37:54.4067936Z 2022-11-23T01:37:54.4068294Z [2022-11-23 01:29:47,986] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4068393Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_21) 2022-11-23T01:37:54.4068483Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4068576Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4068652Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.4068741Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.4068844Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4068947Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4069023Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4069099Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.4069201Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4069293Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:54.4069369Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.4069456Z 24 BUILD_TUPLE 2 2022-11-23T01:37:54.4069531Z 26 RETURN_VALUE 2022-11-23T01:37:54.4069536Z 2022-11-23T01:37:54.4069583Z 2022-11-23T01:37:54.4069773Z [2022-11-23 01:29:47,986] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.4069844Z - 2022-11-23T01:37:54.4069966Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.4070031Z { 2022-11-23T01:37:54.4070175Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.4070365Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.4070476Z 'obj_weakref': None 2022-11-23T01:37:54.4070701Z 'guarded_class': 2022-11-23T01:37:54.4070766Z } 2022-11-23T01:37:54.4070828Z 2022-11-23T01:37:54.4070901Z - 2022-11-23T01:37:54.4071026Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.4071089Z { 2022-11-23T01:37:54.4071221Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4071330Z 'code': None, 2022-11-23T01:37:54.4071541Z 'obj_weakref': 2022-11-23T01:37:54.4071800Z 'guarded_class': 2022-11-23T01:37:54.4071864Z } 2022-11-23T01:37:54.4071925Z 2022-11-23T01:37:54.4071996Z - 2022-11-23T01:37:54.4072117Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.4072180Z { 2022-11-23T01:37:54.4072318Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.4072488Z 'code': ['___check_obj_id(model, 140538741740752)'], 2022-11-23T01:37:54.4072612Z 'obj_weakref': None 2022-11-23T01:37:54.4072849Z 'guarded_class': 2022-11-23T01:37:54.4072915Z } 2022-11-23T01:37:54.4072979Z 2022-11-23T01:37:54.4073038Z - 2022-11-23T01:37:54.4073163Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.4073227Z { 2022-11-23T01:37:54.4073408Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.4073632Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.4073758Z 'obj_weakref': None 2022-11-23T01:37:54.4073981Z 'guarded_class': 2022-11-23T01:37:54.4074031Z } 2022-11-23T01:37:54.4074094Z 2022-11-23T01:37:54.4074168Z - 2022-11-23T01:37:54.4074303Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.4074368Z { 2022-11-23T01:37:54.4074491Z 'guard_types': None, 2022-11-23T01:37:54.4074627Z 'code': None, 2022-11-23T01:37:54.4074748Z 'obj_weakref': None 2022-11-23T01:37:54.4074874Z 'guarded_class': None 2022-11-23T01:37:54.4074938Z } 2022-11-23T01:37:54.4075001Z 2022-11-23T01:37:54.4075267Z [2022-11-23 01:29:47,992] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 20 2022-11-23T01:37:54.4075633Z [2022-11-23 01:29:49,374] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/u6/cu64ipfwn4266n7b6n7pknisyn2sawf3zy3sevbznicsfrztcyme.py 2022-11-23T01:37:54.4075900Z [2022-11-23 01:29:49,375] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 20 2022-11-23T01:37:54.4075905Z 2022-11-23T01:37:54.4075988Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.4076058Z import torch 2022-11-23T01:37:54.4076129Z import random 2022-11-23T01:37:54.4076244Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.4076371Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.4076376Z 2022-11-23T01:37:54.4076455Z aten = torch.ops.aten 2022-11-23T01:37:54.4076590Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.4076670Z async_compile = AsyncCompile() 2022-11-23T01:37:54.4076689Z 2022-11-23T01:37:54.4076693Z 2022-11-23T01:37:54.4076819Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.4077029Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.4077151Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.4077250Z long* __restrict__ out_ptr0, 2022-11-23T01:37:54.4077346Z long* __restrict__ out_ptr1) 2022-11-23T01:37:54.4077409Z { 2022-11-23T01:37:54.4077471Z { 2022-11-23T01:37:54.4077522Z { 2022-11-23T01:37:54.4077646Z struct IndexValue_1 {size_t index; float value;}; 2022-11-23T01:37:54.4077925Z IndexValue_1 tmp1{0, -std::numeric_limits::infinity()}; 2022-11-23T01:37:54.4078064Z #pragma omp declare reduction(argmax : struct IndexValue_1 :\ 2022-11-23T01:37:54.4078213Z omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\ 2022-11-23T01:37:54.4078360Z omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\ 2022-11-23T01:37:54.4078600Z initializer(omp_priv = {0, -std::numeric_limits::infinity()}) 2022-11-23T01:37:54.4078718Z struct IndexValue_2 {size_t index; float value;}; 2022-11-23T01:37:54.4078839Z IndexValue_2 tmp2{0, std::numeric_limits::infinity()}; 2022-11-23T01:37:54.4078977Z #pragma omp declare reduction(argmin : struct IndexValue_2 :\ 2022-11-23T01:37:54.4079125Z omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\ 2022-11-23T01:37:54.4079271Z omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\ 2022-11-23T01:37:54.4079417Z initializer(omp_priv = {0, std::numeric_limits::infinity()}) 2022-11-23T01:37:54.4079508Z for(long i0=0; i0<524288; i0+=1) 2022-11-23T01:37:54.4079570Z { 2022-11-23T01:37:54.4079636Z { 2022-11-23T01:37:54.4079715Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.4079839Z if (tmp1.value < tmp0) { 2022-11-23T01:37:54.4079953Z tmp1.index = i0; tmp1.value = tmp0; 2022-11-23T01:37:54.4080019Z } 2022-11-23T01:37:54.4080111Z if (tmp2.value > tmp0) { 2022-11-23T01:37:54.4080215Z tmp2.index = i0; tmp2.value = tmp0; 2022-11-23T01:37:54.4080279Z } 2022-11-23T01:37:54.4080330Z } 2022-11-23T01:37:54.4080391Z } 2022-11-23T01:37:54.4080476Z out_ptr0[0] = tmp1.index; 2022-11-23T01:37:54.4080556Z out_ptr1[0] = tmp2.index; 2022-11-23T01:37:54.4080649Z } 2022-11-23T01:37:54.4080708Z } 2022-11-23T01:37:54.4080767Z } 2022-11-23T01:37:54.4080835Z ''') 2022-11-23T01:37:54.4080840Z 2022-11-23T01:37:54.4080844Z 2022-11-23T01:37:54.4080935Z async_compile.wait(globals()) 2022-11-23T01:37:54.4081006Z del async_compile 2022-11-23T01:37:54.4081010Z 2022-11-23T01:37:54.4081082Z def call(args): 2022-11-23T01:37:54.4081151Z arg0_1, = args 2022-11-23T01:37:54.4081219Z args.clear() 2022-11-23T01:37:54.4081405Z buf0 = empty_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.4081574Z buf1 = empty_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.4081738Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:54.4081806Z del arg0_1 2022-11-23T01:37:54.4081882Z return (buf0, buf1, ) 2022-11-23T01:37:54.4081887Z 2022-11-23T01:37:54.4081892Z 2022-11-23T01:37:54.4081966Z if __name__ == "__main__": 2022-11-23T01:37:54.4082083Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.4082205Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.4082424Z arg0_1 = rand_strided((8, 256, 256), (65536, 256, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4082518Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.4082536Z 2022-11-23T01:37:54.4082590Z ok (1.424s) 2022-11-23T01:37:54.4082911Z test_argmax_argmin2_cpu (__main__.CpuTests) ... [2022-11-23 01:29:49,384] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.4083188Z [2022-11-23 01:29:49,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.4083408Z [2022-11-23 01:29:49,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.4083662Z [2022-11-23 01:29:49,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.4083957Z [2022-11-23 01:29:49,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.4084280Z [2022-11-23 01:29:49,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.4084613Z [2022-11-23 01:29:49,385] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.4084709Z 4260 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.4084793Z 2 LOAD_METHOD 1 (argmax) 2022-11-23T01:37:54.4084881Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:54.4084971Z 6 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4085059Z 8 CALL_METHOD 2 2022-11-23T01:37:54.4085064Z 2022-11-23T01:37:54.4085157Z 4261 10 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.4085256Z 12 LOAD_METHOD 2 (argmin) 2022-11-23T01:37:54.4085344Z 14 LOAD_FAST 0 (x) 2022-11-23T01:37:54.4085421Z 16 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4085508Z 18 CALL_METHOD 2 2022-11-23T01:37:54.4085515Z 2022-11-23T01:37:54.4085637Z 4262 20 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.4085731Z 22 LOAD_METHOD 1 (argmax) 2022-11-23T01:37:54.4085819Z 24 LOAD_FAST 0 (x) 2022-11-23T01:37:54.4085904Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:54.4085992Z 28 CALL_METHOD 2 2022-11-23T01:37:54.4085997Z 2022-11-23T01:37:54.4086086Z 4263 30 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.4086165Z 32 LOAD_METHOD 2 (argmin) 2022-11-23T01:37:54.4086249Z 34 LOAD_FAST 0 (x) 2022-11-23T01:37:54.4086365Z 36 LOAD_CONST 2 (1) 2022-11-23T01:37:54.4086449Z 38 CALL_METHOD 2 2022-11-23T01:37:54.4086536Z 40 BUILD_TUPLE 4 2022-11-23T01:37:54.4086610Z 42 RETURN_VALUE 2022-11-23T01:37:54.4086670Z 2022-11-23T01:37:54.4086675Z 2022-11-23T01:37:54.4086937Z [2022-11-23 01:29:49,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4260 2022-11-23T01:37:54.4087158Z [2022-11-23 01:29:49,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.4087468Z [2022-11-23 01:29:49,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TorchVariable()] 2022-11-23T01:37:54.4087724Z [2022-11-23 01:29:49,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.argmax)] 2022-11-23T01:37:54.4088010Z [2022-11-23 01:29:49,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.argmax), TensorVariable()] 2022-11-23T01:37:54.4088341Z [2022-11-23 01:29:49,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.argmax), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4088609Z [2022-11-23 01:29:49,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4261 2022-11-23T01:37:54.4088856Z [2022-11-23 01:29:49,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:54.4089193Z [2022-11-23 01:29:49,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4089476Z [2022-11-23 01:29:49,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.argmin)] 2022-11-23T01:37:54.4089774Z [2022-11-23 01:29:49,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.argmin), TensorVariable()] 2022-11-23T01:37:54.4090131Z [2022-11-23 01:29:49,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.argmin), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4090399Z [2022-11-23 01:29:49,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4262 2022-11-23T01:37:54.4090676Z [2022-11-23 01:29:49,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4091042Z [2022-11-23 01:29:49,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4091353Z [2022-11-23 01:29:49,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(aten.argmax)] 2022-11-23T01:37:54.4091690Z [2022-11-23 01:29:49,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(aten.argmax), TensorVariable()] 2022-11-23T01:37:54.4092076Z [2022-11-23 01:29:49,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.argmax), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4092375Z [2022-11-23 01:29:49,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4263 2022-11-23T01:37:54.4092681Z [2022-11-23 01:29:49,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4093076Z [2022-11-23 01:29:49,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4093411Z [2022-11-23 01:29:49,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.argmin)] 2022-11-23T01:37:54.4093797Z [2022-11-23 01:29:49,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.argmin), TensorVariable()] 2022-11-23T01:37:54.4094209Z [2022-11-23 01:29:49,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.argmin), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4094533Z [2022-11-23 01:29:49,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4094783Z [2022-11-23 01:29:49,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.4095117Z [2022-11-23 01:29:49,412] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.4095368Z [2022-11-23 01:29:49,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.4095605Z [2022-11-23 01:29:49,412] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.4095863Z [2022-11-23 01:29:49,413] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.4096113Z [2022-11-23 01:29:49,417] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.4096304Z [2022-11-23 01:29:49,418] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.4096427Z __compiled_fn_22 .146 opcode, name, target, args, kwargs 2022-11-23T01:37:54.4096515Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.4096623Z call_function, argmax, aten.argmax, (ex_0_, 0), {} 2022-11-23T01:37:54.4096728Z call_function, argmin, aten.argmin, (ex_0_, 0), {} 2022-11-23T01:37:54.4096841Z call_function, argmax_1, aten.argmax, (ex_0_, 1), {} 2022-11-23T01:37:54.4096946Z call_function, argmin_1, aten.argmin, (ex_0_, 1), {} 2022-11-23T01:37:54.4097075Z output, output, output, ((argmax, argmin, argmax_1, argmin_1),), {} 2022-11-23T01:37:54.4097081Z 2022-11-23T01:37:54.4097362Z [2022-11-23 01:29:49,418] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4097443Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.4097532Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4097622Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.4097711Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.4097789Z 8 RETURN_VALUE 2022-11-23T01:37:54.4097795Z 2022-11-23T01:37:54.4097855Z 2022-11-23T01:37:54.4098130Z [2022-11-23 01:29:49,418] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4098242Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_22) 2022-11-23T01:37:54.4098319Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4098407Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4098481Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.4098569Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.4098703Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4098978Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4099120Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4099191Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.4099294Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4099383Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:54.4099458Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.4099558Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4099648Z 26 LOAD_CONST 3 (2) 2022-11-23T01:37:54.4099796Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.4099886Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4099973Z 32 LOAD_CONST 4 (3) 2022-11-23T01:37:54.4100048Z 34 BINARY_SUBSCR 2022-11-23T01:37:54.4100137Z 36 BUILD_TUPLE 4 2022-11-23T01:37:54.4100214Z 38 RETURN_VALUE 2022-11-23T01:37:54.4100219Z 2022-11-23T01:37:54.4100283Z 2022-11-23T01:37:54.4100479Z [2022-11-23 01:29:49,419] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.4100541Z - 2022-11-23T01:37:54.4100665Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.4100729Z { 2022-11-23T01:37:54.4100874Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.4101063Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.4101187Z 'obj_weakref': None 2022-11-23T01:37:54.4101420Z 'guarded_class': 2022-11-23T01:37:54.4101484Z } 2022-11-23T01:37:54.4101534Z 2022-11-23T01:37:54.4101604Z - 2022-11-23T01:37:54.4101731Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.4101793Z { 2022-11-23T01:37:54.4101941Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4102051Z 'code': None, 2022-11-23T01:37:54.4102254Z 'obj_weakref': 2022-11-23T01:37:54.4102510Z 'guarded_class': 2022-11-23T01:37:54.4102576Z } 2022-11-23T01:37:54.4102639Z 2022-11-23T01:37:54.4102709Z - 2022-11-23T01:37:54.4102842Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.4102906Z { 2022-11-23T01:37:54.4103029Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.4103204Z 'code': ['___check_obj_id(model, 140538745349472)'], 2022-11-23T01:37:54.4103323Z 'obj_weakref': None 2022-11-23T01:37:54.4103557Z 'guarded_class': 2022-11-23T01:37:54.4103621Z } 2022-11-23T01:37:54.4103683Z 2022-11-23T01:37:54.4103755Z - 2022-11-23T01:37:54.4103866Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.4103929Z { 2022-11-23T01:37:54.4104064Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.4104282Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.4104405Z 'obj_weakref': None 2022-11-23T01:37:54.4104628Z 'guarded_class': 2022-11-23T01:37:54.4104691Z } 2022-11-23T01:37:54.4104753Z 2022-11-23T01:37:54.4104816Z - 2022-11-23T01:37:54.4104946Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.4105009Z { 2022-11-23T01:37:54.4105129Z 'guard_types': None, 2022-11-23T01:37:54.4105237Z 'code': None, 2022-11-23T01:37:54.4105356Z 'obj_weakref': None 2022-11-23T01:37:54.4105466Z 'guarded_class': None 2022-11-23T01:37:54.4105570Z } 2022-11-23T01:37:54.4105635Z 2022-11-23T01:37:54.4105896Z [2022-11-23 01:29:49,426] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 21 2022-11-23T01:37:54.4106271Z [2022-11-23 01:29:50,825] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ff/cff6jcrscvydyxkerifooskvhj2r2oa4f6urrno2cdmykbx7byjf.py 2022-11-23T01:37:54.4106538Z [2022-11-23 01:29:50,825] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 21 2022-11-23T01:37:54.4106544Z 2022-11-23T01:37:54.4106637Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.4106740Z import torch 2022-11-23T01:37:54.4106797Z import random 2022-11-23T01:37:54.4106911Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.4107033Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.4107038Z 2022-11-23T01:37:54.4107117Z aten = torch.ops.aten 2022-11-23T01:37:54.4107252Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.4107343Z async_compile = AsyncCompile() 2022-11-23T01:37:54.4107347Z 2022-11-23T01:37:54.4107351Z 2022-11-23T01:37:54.4107488Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.4107699Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.4107805Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.4107901Z long* __restrict__ out_ptr0, 2022-11-23T01:37:54.4107994Z long* __restrict__ out_ptr1, 2022-11-23T01:37:54.4108090Z long* __restrict__ out_ptr2, 2022-11-23T01:37:54.4108255Z long* __restrict__ out_ptr3) 2022-11-23T01:37:54.4108318Z { 2022-11-23T01:37:54.4108395Z #pragma GCC ivdep 2022-11-23T01:37:54.4108463Z for(long i0=0; i0<144; i0+=1) 2022-11-23T01:37:54.4108525Z { 2022-11-23T01:37:54.4108587Z { 2022-11-23T01:37:54.4108653Z { 2022-11-23T01:37:54.4108774Z struct IndexValue_3 {size_t index; float value;}; 2022-11-23T01:37:54.4109028Z IndexValue_3 tmp1{0, -std::numeric_limits::infinity()}; 2022-11-23T01:37:54.4109170Z #pragma omp declare reduction(argmax : struct IndexValue_3 :\ 2022-11-23T01:37:54.4109306Z omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\ 2022-11-23T01:37:54.4109452Z omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\ 2022-11-23T01:37:54.4109692Z initializer(omp_priv = {0, -std::numeric_limits::infinity()}) 2022-11-23T01:37:54.4109813Z struct IndexValue_4 {size_t index; float value;}; 2022-11-23T01:37:54.4109948Z IndexValue_4 tmp2{0, std::numeric_limits::infinity()}; 2022-11-23T01:37:54.4110084Z #pragma omp declare reduction(argmin : struct IndexValue_4 :\ 2022-11-23T01:37:54.4110231Z omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\ 2022-11-23T01:37:54.4110374Z omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\ 2022-11-23T01:37:54.4110518Z initializer(omp_priv = {0, std::numeric_limits::infinity()}) 2022-11-23T01:37:54.4110596Z for(long i1=0; i1<144; i1+=1) 2022-11-23T01:37:54.4110660Z { 2022-11-23T01:37:54.4110726Z { 2022-11-23T01:37:54.4110828Z auto tmp0 = in_ptr0[i0 + (144*i1)]; 2022-11-23T01:37:54.4110925Z if (tmp1.value < tmp0) { 2022-11-23T01:37:54.4111036Z tmp1.index = i1; tmp1.value = tmp0; 2022-11-23T01:37:54.4111103Z } 2022-11-23T01:37:54.4111184Z if (tmp2.value > tmp0) { 2022-11-23T01:37:54.4111291Z tmp2.index = i1; tmp2.value = tmp0; 2022-11-23T01:37:54.4111395Z } 2022-11-23T01:37:54.4111465Z } 2022-11-23T01:37:54.4111529Z } 2022-11-23T01:37:54.4111622Z out_ptr0[i0] = tmp1.index; 2022-11-23T01:37:54.4111710Z out_ptr1[i0] = tmp2.index; 2022-11-23T01:37:54.4111760Z } 2022-11-23T01:37:54.4111824Z } 2022-11-23T01:37:54.4111885Z } 2022-11-23T01:37:54.4111960Z #pragma GCC ivdep 2022-11-23T01:37:54.4112041Z for(long i0=0; i0<144; i0+=1) 2022-11-23T01:37:54.4112101Z { 2022-11-23T01:37:54.4112161Z { 2022-11-23T01:37:54.4112211Z { 2022-11-23T01:37:54.4112395Z struct IndexValue_5 {size_t index; float value;}; 2022-11-23T01:37:54.4112632Z IndexValue_5 tmp1{0, -std::numeric_limits::infinity()}; 2022-11-23T01:37:54.4112771Z #pragma omp declare reduction(argmax : struct IndexValue_5 :\ 2022-11-23T01:37:54.4112921Z omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\ 2022-11-23T01:37:54.4113066Z omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\ 2022-11-23T01:37:54.4113308Z initializer(omp_priv = {0, -std::numeric_limits::infinity()}) 2022-11-23T01:37:54.4113428Z struct IndexValue_6 {size_t index; float value;}; 2022-11-23T01:37:54.4113551Z IndexValue_6 tmp2{0, std::numeric_limits::infinity()}; 2022-11-23T01:37:54.4113691Z #pragma omp declare reduction(argmin : struct IndexValue_6 :\ 2022-11-23T01:37:54.4113840Z omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\ 2022-11-23T01:37:54.4113987Z omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\ 2022-11-23T01:37:54.4114132Z initializer(omp_priv = {0, std::numeric_limits::infinity()}) 2022-11-23T01:37:54.4114224Z for(long i1=0; i1<144; i1+=1) 2022-11-23T01:37:54.4114292Z { 2022-11-23T01:37:54.4114361Z { 2022-11-23T01:37:54.4114452Z auto tmp0 = in_ptr0[i1 + (144*i0)]; 2022-11-23T01:37:54.4114549Z if (tmp1.value < tmp0) { 2022-11-23T01:37:54.4114659Z tmp1.index = i1; tmp1.value = tmp0; 2022-11-23T01:37:54.4114729Z } 2022-11-23T01:37:54.4114824Z if (tmp2.value > tmp0) { 2022-11-23T01:37:54.4114933Z tmp2.index = i1; tmp2.value = tmp0; 2022-11-23T01:37:54.4115002Z } 2022-11-23T01:37:54.4115057Z } 2022-11-23T01:37:54.4115122Z } 2022-11-23T01:37:54.4115216Z out_ptr2[i0] = tmp1.index; 2022-11-23T01:37:54.4115305Z out_ptr3[i0] = tmp2.index; 2022-11-23T01:37:54.4115370Z } 2022-11-23T01:37:54.4115434Z } 2022-11-23T01:37:54.4115496Z } 2022-11-23T01:37:54.4115541Z } 2022-11-23T01:37:54.4115628Z ''') 2022-11-23T01:37:54.4115634Z 2022-11-23T01:37:54.4115638Z 2022-11-23T01:37:54.4115730Z async_compile.wait(globals()) 2022-11-23T01:37:54.4115804Z del async_compile 2022-11-23T01:37:54.4115809Z 2022-11-23T01:37:54.4115881Z def call(args): 2022-11-23T01:37:54.4115951Z arg0_1, = args 2022-11-23T01:37:54.4116022Z args.clear() 2022-11-23T01:37:54.4116203Z buf0 = empty_strided((144, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.4116396Z buf1 = empty_strided((144, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.4116590Z buf2 = empty_strided((144, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.4116787Z buf3 = empty_strided((144, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.4117002Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr())) 2022-11-23T01:37:54.4117073Z del arg0_1 2022-11-23T01:37:54.4117193Z return (buf0, buf1, buf2, buf3, ) 2022-11-23T01:37:54.4117199Z 2022-11-23T01:37:54.4117204Z 2022-11-23T01:37:54.4117282Z if __name__ == "__main__": 2022-11-23T01:37:54.4117384Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.4117509Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.4117720Z arg0_1 = rand_strided((144, 144), (144, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4117829Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.4117834Z 2022-11-23T01:37:54.4117902Z ok (1.449s) 2022-11-23T01:37:54.4118022Z test_argmax_argmin3_cpu (__main__.CpuTests) ... skip: 2022-11-23T01:37:54.4118213Z FIXME: In the case of having equally max/min elements, our implementation returns 2022-11-23T01:37:54.4118319Z the last index instead of the first one 2022-11-23T01:37:54.4118373Z (0.001s) 2022-11-23T01:37:54.4118695Z test_as_strided_cpu (__main__.CpuTests) ... [2022-11-23 01:29:50,834] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.4118972Z [2022-11-23 01:29:50,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.4119192Z [2022-11-23 01:29:50,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.4119449Z [2022-11-23 01:29:50,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.4119737Z [2022-11-23 01:29:50,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.4120065Z [2022-11-23 01:29:50,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.4120397Z [2022-11-23 01:29:50,834] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.4120494Z 3607 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.4120582Z 2 LOAD_METHOD 1 (as_strided) 2022-11-23T01:37:54.4120673Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:54.4120767Z 6 LOAD_CONST 1 ((8, 8, 64)) 2022-11-23T01:37:54.4120863Z 8 LOAD_CONST 2 ((512, 64, 1)) 2022-11-23T01:37:54.4120949Z 10 LOAD_CONST 3 (0) 2022-11-23T01:37:54.4121039Z 12 CALL_METHOD 4 2022-11-23T01:37:54.4121044Z 2022-11-23T01:37:54.4121135Z 3608 14 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.4121235Z 16 LOAD_METHOD 1 (as_strided) 2022-11-23T01:37:54.4121311Z 18 LOAD_FAST 0 (x) 2022-11-23T01:37:54.4121398Z 20 LOAD_CONST 4 (1) 2022-11-23T01:37:54.4121471Z 22 BINARY_ADD 2022-11-23T01:37:54.4121567Z 24 LOAD_CONST 1 ((8, 8, 64)) 2022-11-23T01:37:54.4121663Z 26 LOAD_CONST 2 ((512, 64, 1)) 2022-11-23T01:37:54.4121751Z 28 LOAD_CONST 3 (0) 2022-11-23T01:37:54.4121838Z 30 CALL_METHOD 4 2022-11-23T01:37:54.4121914Z 32 LOAD_CONST 5 (2) 2022-11-23T01:37:54.4121987Z 34 BINARY_ADD 2022-11-23T01:37:54.4122074Z 36 BUILD_TUPLE 2 2022-11-23T01:37:54.4122150Z 38 RETURN_VALUE 2022-11-23T01:37:54.4122210Z 2022-11-23T01:37:54.4122215Z 2022-11-23T01:37:54.4122489Z [2022-11-23 01:29:50,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3607 2022-11-23T01:37:54.4122712Z [2022-11-23 01:29:50,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.4123058Z [2022-11-23 01:29:50,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR as_strided [TorchVariable()] 2022-11-23T01:37:54.4123310Z [2022-11-23 01:29:50,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.as_strided)] 2022-11-23T01:37:54.4123614Z [2022-11-23 01:29:50,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (8, 8, 64) [TorchVariable(aten.as_strided), TensorVariable()] 2022-11-23T01:37:54.4123957Z [2022-11-23 01:29:50,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (512, 64, 1) [TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple)] 2022-11-23T01:37:54.4124330Z [2022-11-23 01:29:50,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple), ConstantVariable(tuple)] 2022-11-23T01:37:54.4124783Z [2022-11-23 01:29:50,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple), ConstantVariable(tuple), ConstantVariable(int)] 2022-11-23T01:37:54.4125056Z [2022-11-23 01:29:50,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3608 2022-11-23T01:37:54.4125301Z [2022-11-23 01:29:50,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:54.4125643Z [2022-11-23 01:29:50,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR as_strided [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4125933Z [2022-11-23 01:29:50,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.as_strided)] 2022-11-23T01:37:54.4126253Z [2022-11-23 01:29:50,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable()] 2022-11-23T01:37:54.4126616Z [2022-11-23 01:29:50,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4126941Z [2022-11-23 01:29:50,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (8, 8, 64) [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable()] 2022-11-23T01:37:54.4127298Z [2022-11-23 01:29:50,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (512, 64, 1) [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple)] 2022-11-23T01:37:54.4127702Z [2022-11-23 01:29:50,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple), ConstantVariable(tuple)] 2022-11-23T01:37:54.4128150Z [2022-11-23 01:29:50,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), TorchVariable(aten.as_strided), TensorVariable(), ConstantVariable(tuple), ConstantVariable(tuple), ConstantVariable(int)] 2022-11-23T01:37:54.4128421Z [2022-11-23 01:29:50,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4128734Z [2022-11-23 01:29:50,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4129005Z [2022-11-23 01:29:50,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4129254Z [2022-11-23 01:29:50,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.4129590Z [2022-11-23 01:29:50,852] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.4129842Z [2022-11-23 01:29:50,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.4130081Z [2022-11-23 01:29:50,852] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.4130373Z [2022-11-23 01:29:50,853] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.4130616Z [2022-11-23 01:29:50,858] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.4130808Z [2022-11-23 01:29:50,858] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.4130943Z __compiled_fn_23 .152 opcode, name, target, args, kwargs 2022-11-23T01:37:54.4131032Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.4131166Z call_function, as_strided, aten.as_strided, (ex_0_, (8, 8, 64), (512, 64, 1), 0), {} 2022-11-23T01:37:54.4131338Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:54.4131504Z call_function, as_strided_1, aten.as_strided, (add, (8, 8, 64), (512, 64, 1), 0), {} 2022-11-23T01:37:54.4131693Z call_function, add_1, , (as_strided_1, 2), {} 2022-11-23T01:37:54.4131792Z output, output, output, ((as_strided, add_1),), {} 2022-11-23T01:37:54.4131798Z 2022-11-23T01:37:54.4132079Z [2022-11-23 01:29:50,858] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4132172Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.4132261Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4132355Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.4132444Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.4132519Z 8 RETURN_VALUE 2022-11-23T01:37:54.4132525Z 2022-11-23T01:37:54.4132586Z 2022-11-23T01:37:54.4132848Z [2022-11-23 01:29:50,858] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4132960Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_23) 2022-11-23T01:37:54.4133048Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4133136Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4133211Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.4133301Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.4133405Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4133493Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4133582Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4133657Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.4133761Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4133848Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:54.4133922Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.4134010Z 24 BUILD_TUPLE 2 2022-11-23T01:37:54.4134071Z 26 RETURN_VALUE 2022-11-23T01:37:54.4134087Z 2022-11-23T01:37:54.4134135Z 2022-11-23T01:37:54.4134319Z [2022-11-23 01:29:50,859] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.4134391Z - 2022-11-23T01:37:54.4134512Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.4134579Z { 2022-11-23T01:37:54.4134723Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.4134899Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.4135023Z 'obj_weakref': None 2022-11-23T01:37:54.4135248Z 'guarded_class': 2022-11-23T01:37:54.4135315Z } 2022-11-23T01:37:54.4135378Z 2022-11-23T01:37:54.4135448Z - 2022-11-23T01:37:54.4135574Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.4135626Z { 2022-11-23T01:37:54.4135773Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4135883Z 'code': None, 2022-11-23T01:37:54.4136099Z 'obj_weakref': 2022-11-23T01:37:54.4136357Z 'guarded_class': 2022-11-23T01:37:54.4136451Z } 2022-11-23T01:37:54.4136516Z 2022-11-23T01:37:54.4136574Z - 2022-11-23T01:37:54.4136707Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.4136771Z { 2022-11-23T01:37:54.4136907Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.4137078Z 'code': ['___check_obj_id(model, 140538741302768)'], 2022-11-23T01:37:54.4137199Z 'obj_weakref': None 2022-11-23T01:37:54.4137432Z 'guarded_class': 2022-11-23T01:37:54.4137526Z } 2022-11-23T01:37:54.4137577Z 2022-11-23T01:37:54.4137647Z - 2022-11-23T01:37:54.4137770Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.4137832Z { 2022-11-23T01:37:54.4137971Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.4138190Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.4138301Z 'obj_weakref': None 2022-11-23T01:37:54.4138524Z 'guarded_class': 2022-11-23T01:37:54.4138587Z } 2022-11-23T01:37:54.4138649Z 2022-11-23T01:37:54.4138719Z - 2022-11-23T01:37:54.4139077Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.4139151Z { 2022-11-23T01:37:54.4139265Z 'guard_types': None, 2022-11-23T01:37:54.4139373Z 'code': None, 2022-11-23T01:37:54.4139494Z 'obj_weakref': None 2022-11-23T01:37:54.4139619Z 'guarded_class': None 2022-11-23T01:37:54.4139685Z } 2022-11-23T01:37:54.4139752Z 2022-11-23T01:37:54.4140013Z [2022-11-23 01:29:50,867] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 22 2022-11-23T01:37:54.4140378Z [2022-11-23 01:29:52,252] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fn/cfnikwjufyqpe7xygthe42drawig34ab5y46pd6llf3czwcucmgx.py 2022-11-23T01:37:54.4140646Z [2022-11-23 01:29:52,252] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 22 2022-11-23T01:37:54.4140652Z 2022-11-23T01:37:54.4140747Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.4140818Z import torch 2022-11-23T01:37:54.4140887Z import random 2022-11-23T01:37:54.4141000Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.4141121Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.4141127Z 2022-11-23T01:37:54.4141205Z aten = torch.ops.aten 2022-11-23T01:37:54.4141329Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.4141420Z async_compile = AsyncCompile() 2022-11-23T01:37:54.4141425Z 2022-11-23T01:37:54.4141430Z 2022-11-23T01:37:54.4141566Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.4141775Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.4141893Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:37:54.4141998Z const float* __restrict__ in_ptr0) 2022-11-23T01:37:54.4142059Z { 2022-11-23T01:37:54.4142140Z for(long i0=0; i0<512; i0+=1) 2022-11-23T01:37:54.4142188Z { 2022-11-23T01:37:54.4142327Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:54.4142458Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:54.4142541Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.4142667Z auto tmp3 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:37:54.4142752Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:54.4142840Z tmp4.store(in_out_ptr0 + 8*i0); 2022-11-23T01:37:54.4142901Z } 2022-11-23T01:37:54.4142976Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.4143056Z for(long i0=4096; i0<4096; i0+=1) 2022-11-23T01:37:54.4143116Z { 2022-11-23T01:37:54.4143256Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.4143354Z auto tmp1 = static_cast(1); 2022-11-23T01:37:54.4143434Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.4143515Z auto tmp3 = static_cast(2); 2022-11-23T01:37:54.4143597Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:54.4143678Z in_out_ptr0[i0] = tmp4; 2022-11-23T01:37:54.4143739Z } 2022-11-23T01:37:54.4143798Z } 2022-11-23T01:37:54.4143885Z ''') 2022-11-23T01:37:54.4143891Z 2022-11-23T01:37:54.4143895Z 2022-11-23T01:37:54.4143984Z async_compile.wait(globals()) 2022-11-23T01:37:54.4144044Z del async_compile 2022-11-23T01:37:54.4144120Z 2022-11-23T01:37:54.4144179Z def call(args): 2022-11-23T01:37:54.4144248Z arg0_1, = args 2022-11-23T01:37:54.4144318Z args.clear() 2022-11-23T01:37:54.4144523Z buf0 = empty_strided((64, 64), (64, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4144637Z buf1 = as_strided(buf0, (8, 8, 64), (512, 64, 1)); del buf0 # reuse 2022-11-23T01:37:54.4144770Z kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg0_1.data_ptr())) 2022-11-23T01:37:54.4144877Z return (as_strided(arg0_1, (8, 8, 64), (512, 64, 1)), buf1, ) 2022-11-23T01:37:54.4144882Z 2022-11-23T01:37:54.4144887Z 2022-11-23T01:37:54.4144961Z if __name__ == "__main__": 2022-11-23T01:37:54.4145062Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.4145182Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.4145387Z arg0_1 = rand_strided((64, 64), (64, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4145495Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.4145502Z 2022-11-23T01:37:54.4145568Z ok (1.426s) 2022-11-23T01:37:54.4145895Z test_as_strided_scatter_cpu (__main__.CpuTests) ... [2022-11-23 01:29:52,260] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.4146169Z [2022-11-23 01:29:52,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.4146392Z [2022-11-23 01:29:52,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.4146635Z [2022-11-23 01:29:52,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.4146923Z [2022-11-23 01:29:52,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.4147247Z [2022-11-23 01:29:52,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.4147583Z [2022-11-23 01:29:52,261] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.4147677Z 3615 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.4147783Z 2 LOAD_ATTR 1 (as_strided_scatter) 2022-11-23T01:37:54.4147791Z 2022-11-23T01:37:54.4147882Z 3616 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.4147973Z 6 LOAD_CONST 1 (8) 2022-11-23T01:37:54.4148055Z 8 BINARY_MULTIPLY 2022-11-23T01:37:54.4148213Z 10 LOAD_CONST 2 (10) 2022-11-23T01:37:54.4148295Z 12 BINARY_ADD 2022-11-23T01:37:54.4148300Z 2022-11-23T01:37:54.4148390Z 3617 14 LOAD_FAST 1 (b) 2022-11-23T01:37:54.4148477Z 16 LOAD_CONST 3 (2) 2022-11-23T01:37:54.4148557Z 18 BINARY_MULTIPLY 2022-11-23T01:37:54.4148646Z 20 LOAD_CONST 4 (4) 2022-11-23T01:37:54.4148723Z 22 BINARY_SUBTRACT 2022-11-23T01:37:54.4148727Z 2022-11-23T01:37:54.4148801Z 3618 24 LOAD_FAST 0 (a) 2022-11-23T01:37:54.4148893Z 26 LOAD_ATTR 2 (shape) 2022-11-23T01:37:54.4148979Z 28 LOAD_CONST 5 (0) 2022-11-23T01:37:54.4149091Z 30 BINARY_SUBSCR 2022-11-23T01:37:54.4149181Z 32 LOAD_FAST 0 (a) 2022-11-23T01:37:54.4149272Z 34 LOAD_ATTR 2 (shape) 2022-11-23T01:37:54.4149359Z 36 LOAD_CONST 6 (1) 2022-11-23T01:37:54.4149424Z 38 BINARY_SUBSCR 2022-11-23T01:37:54.4149511Z 40 LOAD_CONST 3 (2) 2022-11-23T01:37:54.4149594Z 42 BINARY_FLOOR_DIVIDE 2022-11-23T01:37:54.4149683Z 44 BUILD_TUPLE 2 2022-11-23T01:37:54.4149689Z 2022-11-23T01:37:54.4149773Z 3619 46 LOAD_FAST 0 (a) 2022-11-23T01:37:54.4149895Z 48 LOAD_ATTR 2 (shape) 2022-11-23T01:37:54.4149980Z 50 LOAD_CONST 6 (1) 2022-11-23T01:37:54.4150055Z 52 BINARY_SUBSCR 2022-11-23T01:37:54.4150127Z 54 LOAD_CONST 3 (2) 2022-11-23T01:37:54.4150217Z 56 BUILD_TUPLE 2 2022-11-23T01:37:54.4150222Z 2022-11-23T01:37:54.4150305Z 3620 58 LOAD_CONST 5 (0) 2022-11-23T01:37:54.4150503Z 60 LOAD_CONST 7 (('size', 'stride', 'storage_offset')) 2022-11-23T01:37:54.4150595Z 62 CALL_FUNCTION_KW 5 2022-11-23T01:37:54.4150670Z 64 RETURN_VALUE 2022-11-23T01:37:54.4150730Z 2022-11-23T01:37:54.4150735Z 2022-11-23T01:37:54.4151007Z [2022-11-23 01:29:52,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3615 2022-11-23T01:37:54.4151212Z [2022-11-23 01:29:52,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.4151543Z [2022-11-23 01:29:52,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR as_strided_scatter [TorchVariable()] 2022-11-23T01:37:54.4151814Z [2022-11-23 01:29:52,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3616 2022-11-23T01:37:54.4152085Z [2022-11-23 01:29:52,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.as_strided_scatter)] 2022-11-23T01:37:54.4152390Z [2022-11-23 01:29:52,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TorchVariable(aten.as_strided_scatter), TensorVariable()] 2022-11-23T01:37:54.4152748Z [2022-11-23 01:29:52,267] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TorchVariable(aten.as_strided_scatter), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4153051Z [2022-11-23 01:29:52,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(aten.as_strided_scatter), TensorVariable()] 2022-11-23T01:37:54.4153398Z [2022-11-23 01:29:52,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.as_strided_scatter), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4153669Z [2022-11-23 01:29:52,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3617 2022-11-23T01:37:54.4153968Z [2022-11-23 01:29:52,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.as_strided_scatter), TensorVariable()] 2022-11-23T01:37:54.4154285Z [2022-11-23 01:29:52,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4154671Z [2022-11-23 01:29:52,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4155003Z [2022-11-23 01:29:52,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4155421Z [2022-11-23 01:29:52,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4155693Z [2022-11-23 01:29:52,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3618 2022-11-23T01:37:54.4156020Z [2022-11-23 01:29:52,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4156381Z [2022-11-23 01:29:52,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shape [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4156736Z [2022-11-23 01:29:52,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ShapeVariable()] 2022-11-23T01:37:54.4157175Z [2022-11-23 01:29:52,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ShapeVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4157541Z [2022-11-23 01:29:52,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4157944Z [2022-11-23 01:29:52,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shape [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:37:54.4158339Z [2022-11-23 01:29:52,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ShapeVariable()] 2022-11-23T01:37:54.4158786Z [2022-11-23 01:29:52,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ShapeVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4159193Z [2022-11-23 01:29:52,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4159643Z [2022-11-23 01:29:52,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4160056Z [2022-11-23 01:29:52,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4160332Z [2022-11-23 01:29:52,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3619 2022-11-23T01:37:54.4160689Z [2022-11-23 01:29:52,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:54.4161083Z [2022-11-23 01:29:52,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR shape [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), TensorVariable()] 2022-11-23T01:37:54.4161466Z [2022-11-23 01:29:52,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), ShapeVariable()] 2022-11-23T01:37:54.4161896Z [2022-11-23 01:29:52,273] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), ShapeVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4162291Z [2022-11-23 01:29:52,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4162761Z [2022-11-23 01:29:52,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4163035Z [2022-11-23 01:29:52,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3620 2022-11-23T01:37:54.4163419Z [2022-11-23 01:29:52,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), TupleVariable()] 2022-11-23T01:37:54.4163896Z [2022-11-23 01:29:52,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('size', 'stride', 'storage_offset') [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4164414Z [2022-11-23 01:29:52,274] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(aten.as_strided_scatter), TensorVariable(), TensorVariable(), TupleVariable(), TupleVariable(), ConstantVariable(int), ConstantVariable(tuple)] 2022-11-23T01:37:54.4164669Z [2022-11-23 01:29:52,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.4165011Z [2022-11-23 01:29:52,275] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.4165248Z [2022-11-23 01:29:52,275] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.4165488Z [2022-11-23 01:29:52,275] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.4165749Z [2022-11-23 01:29:52,277] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.4166002Z [2022-11-23 01:29:52,281] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.4166197Z [2022-11-23 01:29:52,282] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.4166332Z __compiled_fn_24 .158 opcode, name, target, args, kwargs 2022-11-23T01:37:54.4166424Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.4166512Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.4166675Z call_function, mul, , (ex_0_, 8), {} 2022-11-23T01:37:54.4166849Z call_function, add, , (mul, 10), {} 2022-11-23T01:37:54.4167026Z call_function, mul_1, , (ex_1_, 2), {} 2022-11-23T01:37:54.4167201Z call_function, sub, , (mul_1, 4), {} 2022-11-23T01:37:54.4167494Z call_function, as_strided_scatter, aten.as_strided_scatter, (add, sub), {'size': (10, 512), 'stride': (1024, 2), 'storage_offset': 0} 2022-11-23T01:37:54.4167612Z output, output, output, ((as_strided_scatter,),), {} 2022-11-23T01:37:54.4167618Z 2022-11-23T01:37:54.4167902Z [2022-11-23 01:29:52,282] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4168000Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.4168079Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4168173Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.4168263Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.4168339Z 8 RETURN_VALUE 2022-11-23T01:37:54.4168344Z 2022-11-23T01:37:54.4168406Z 2022-11-23T01:37:54.4168680Z [2022-11-23 01:29:52,282] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4168794Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_24) 2022-11-23T01:37:54.4168885Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4168961Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4169039Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.4169129Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4169250Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.4169328Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.4169418Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.4169510Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.4169574Z 18 RETURN_VALUE 2022-11-23T01:37:54.4169579Z 2022-11-23T01:37:54.4169640Z 2022-11-23T01:37:54.4169828Z [2022-11-23 01:29:52,283] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.4169901Z - 2022-11-23T01:37:54.4170023Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.4170086Z { 2022-11-23T01:37:54.4170228Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.4170438Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.4170559Z 'obj_weakref': None 2022-11-23T01:37:54.4170785Z 'guarded_class': 2022-11-23T01:37:54.4170850Z } 2022-11-23T01:37:54.4170914Z 2022-11-23T01:37:54.4170986Z - 2022-11-23T01:37:54.4171113Z local 'ex[0]' TYPE_MATCH 2022-11-23T01:37:54.4171165Z { 2022-11-23T01:37:54.4171306Z 'guard_types': ['TYPE_MATCH'], 2022-11-23T01:37:54.4171478Z 'code': ['___check_type_id(ex[0], 93851459086816)'], 2022-11-23T01:37:54.4171693Z 'obj_weakref': 2022-11-23T01:37:54.4171950Z 'guarded_class': 2022-11-23T01:37:54.4172016Z } 2022-11-23T01:37:54.4172080Z 2022-11-23T01:37:54.4172139Z - 2022-11-23T01:37:54.4172264Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.4172327Z { 2022-11-23T01:37:54.4172470Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4172580Z 'code': None, 2022-11-23T01:37:54.4172798Z 'obj_weakref': 2022-11-23T01:37:54.4173052Z 'guarded_class': 2022-11-23T01:37:54.4173115Z } 2022-11-23T01:37:54.4173165Z 2022-11-23T01:37:54.4173234Z - 2022-11-23T01:37:54.4173358Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.4173421Z { 2022-11-23T01:37:54.4173564Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4173672Z 'code': None, 2022-11-23T01:37:54.4173871Z 'obj_weakref': 2022-11-23T01:37:54.4174126Z 'guarded_class': 2022-11-23T01:37:54.4174189Z } 2022-11-23T01:37:54.4174254Z 2022-11-23T01:37:54.4174324Z - 2022-11-23T01:37:54.4174456Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.4174520Z { 2022-11-23T01:37:54.4174646Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.4174815Z 'code': ['___check_obj_id(model, 140538741602928)'], 2022-11-23T01:37:54.4174937Z 'obj_weakref': None 2022-11-23T01:37:54.4175169Z 'guarded_class': 2022-11-23T01:37:54.4175233Z } 2022-11-23T01:37:54.4175295Z 2022-11-23T01:37:54.4175365Z - 2022-11-23T01:37:54.4175476Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.4175546Z { 2022-11-23T01:37:54.4175684Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.4175902Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.4176024Z 'obj_weakref': None 2022-11-23T01:37:54.4176273Z 'guarded_class': 2022-11-23T01:37:54.4176337Z } 2022-11-23T01:37:54.4176386Z 2022-11-23T01:37:54.4176455Z - 2022-11-23T01:37:54.4176588Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.4176652Z { 2022-11-23T01:37:54.4176774Z 'guard_types': None, 2022-11-23T01:37:54.4176882Z 'code': None, 2022-11-23T01:37:54.4177001Z 'obj_weakref': None 2022-11-23T01:37:54.4177110Z 'guarded_class': None 2022-11-23T01:37:54.4177171Z } 2022-11-23T01:37:54.4177232Z 2022-11-23T01:37:54.4177491Z [2022-11-23 01:29:52,292] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 23 2022-11-23T01:37:54.4177899Z [2022-11-23 01:29:53,667] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nz/cnzuqj7swuyafi7qrukn6pbx6nrzol3zbwuf2iilequuxkgtugdm.py 2022-11-23T01:37:54.4178170Z [2022-11-23 01:29:53,668] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 23 2022-11-23T01:37:54.4178176Z 2022-11-23T01:37:54.4178270Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.4178338Z import torch 2022-11-23T01:37:54.4178393Z import random 2022-11-23T01:37:54.4178508Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.4178627Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.4178632Z 2022-11-23T01:37:54.4178709Z aten = torch.ops.aten 2022-11-23T01:37:54.4179048Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.4179152Z async_compile = AsyncCompile() 2022-11-23T01:37:54.4179160Z 2022-11-23T01:37:54.4179164Z 2022-11-23T01:37:54.4179306Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.4179513Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.4179620Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.4179725Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.4179826Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.4179887Z { 2022-11-23T01:37:54.4179968Z for(long i0=0; i0<1280; i0+=1) 2022-11-23T01:37:54.4180030Z { 2022-11-23T01:37:54.4180170Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:54.4180290Z auto tmp1 = at::vec::Vectorized(static_cast(8)); 2022-11-23T01:37:54.4180375Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:54.4180505Z auto tmp3 = at::vec::Vectorized(static_cast(10)); 2022-11-23T01:37:54.4180586Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:54.4180676Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.4180737Z } 2022-11-23T01:37:54.4180824Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.4180895Z for(long i0=10240; i0<10240; i0+=1) 2022-11-23T01:37:54.4180959Z { 2022-11-23T01:37:54.4181038Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.4181136Z auto tmp1 = static_cast(8); 2022-11-23T01:37:54.4181215Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:54.4181311Z auto tmp3 = static_cast(10); 2022-11-23T01:37:54.4181391Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:54.4181455Z out_ptr0[i0] = tmp4; 2022-11-23T01:37:54.4181514Z } 2022-11-23T01:37:54.4181589Z #pragma GCC ivdep 2022-11-23T01:37:54.4181669Z for(long i0=0; i0<5120; i0+=1) 2022-11-23T01:37:54.4181729Z { 2022-11-23T01:37:54.4181793Z { 2022-11-23T01:37:54.4181856Z { 2022-11-23T01:37:54.4181931Z auto tmp0 = in_ptr1[i0]; 2022-11-23T01:37:54.4182034Z auto tmp1 = static_cast(2); 2022-11-23T01:37:54.4182120Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:54.4182219Z auto tmp3 = static_cast(4); 2022-11-23T01:37:54.4182350Z auto tmp4 = tmp2 - tmp3; 2022-11-23T01:37:54.4182432Z out_ptr0[2*i0] = tmp4; 2022-11-23T01:37:54.4182494Z } 2022-11-23T01:37:54.4182613Z } 2022-11-23T01:37:54.4182677Z } 2022-11-23T01:37:54.4182736Z } 2022-11-23T01:37:54.4182817Z ''') 2022-11-23T01:37:54.4182823Z 2022-11-23T01:37:54.4182827Z 2022-11-23T01:37:54.4182916Z async_compile.wait(globals()) 2022-11-23T01:37:54.4182988Z del async_compile 2022-11-23T01:37:54.4182993Z 2022-11-23T01:37:54.4183062Z def call(args): 2022-11-23T01:37:54.4183125Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.4183195Z args.clear() 2022-11-23T01:37:54.4183403Z buf0 = empty_strided((10, 1024), (1024, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4183617Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.4183686Z del arg0_1 2022-11-23T01:37:54.4183751Z del arg1_1 2022-11-23T01:37:54.4183822Z return (buf0, ) 2022-11-23T01:37:54.4183827Z 2022-11-23T01:37:54.4183831Z 2022-11-23T01:37:54.4183905Z if __name__ == "__main__": 2022-11-23T01:37:54.4184007Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.4184128Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.4184340Z arg0_1 = rand_strided((10, 1024), (1024, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4184543Z arg1_1 = rand_strided((10, 512), (512, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4184657Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.4184662Z 2022-11-23T01:37:54.4184729Z ok (1.415s) 2022-11-23T01:37:54.4185044Z test_avg_pool2d1_cpu (__main__.CpuTests) ... [2022-11-23 01:29:53,675] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.4185320Z [2022-11-23 01:29:53,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.4185530Z [2022-11-23 01:29:53,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.4185789Z [2022-11-23 01:29:53,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.4186079Z [2022-11-23 01:29:53,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.4186406Z [2022-11-23 01:29:53,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.4186736Z [2022-11-23 01:29:53,676] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.4186832Z 2012 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.4186935Z 2 LOAD_METHOD 1 (avg_pool2d) 2022-11-23T01:37:54.4187024Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:54.4187112Z 6 LOAD_CONST 1 (3) 2022-11-23T01:37:54.4187187Z 8 LOAD_CONST 1 (3) 2022-11-23T01:37:54.4187275Z 10 BUILD_LIST 2 2022-11-23T01:37:54.4187362Z 12 LOAD_CONST 2 (2) 2022-11-23T01:37:54.4187448Z 14 LOAD_CONST 2 (2) 2022-11-23T01:37:54.4187531Z 16 BUILD_LIST 2 2022-11-23T01:37:54.4187618Z 18 CALL_METHOD 3 2022-11-23T01:37:54.4187693Z 20 RETURN_VALUE 2022-11-23T01:37:54.4187740Z 2022-11-23T01:37:54.4187745Z 2022-11-23T01:37:54.4188015Z [2022-11-23 01:29:53,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2012 2022-11-23T01:37:54.4188322Z [2022-11-23 01:29:53,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.4188648Z [2022-11-23 01:29:53,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable()] 2022-11-23T01:37:54.4188955Z [2022-11-23 01:29:53,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)] 2022-11-23T01:37:54.4189251Z [2022-11-23 01:29:53,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()] 2022-11-23T01:37:54.4189584Z [2022-11-23 01:29:53,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4189955Z [2022-11-23 01:29:53,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4190323Z [2022-11-23 01:29:53,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()] 2022-11-23T01:37:54.4190676Z [2022-11-23 01:29:53,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4191051Z [2022-11-23 01:29:53,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4191397Z [2022-11-23 01:29:53,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:54.4191647Z [2022-11-23 01:29:53,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.4191980Z [2022-11-23 01:29:53,684] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.4192234Z [2022-11-23 01:29:53,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.4192471Z [2022-11-23 01:29:53,684] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.4192730Z [2022-11-23 01:29:53,685] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.4192983Z [2022-11-23 01:29:53,687] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.4193173Z [2022-11-23 01:29:53,688] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.4193308Z __compiled_fn_25 .164 opcode, name, target, args, kwargs 2022-11-23T01:37:54.4193385Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.4193512Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2]), {} 2022-11-23T01:37:54.4193619Z output, output, output, ((avg_pool2d,),), {} 2022-11-23T01:37:54.4193625Z 2022-11-23T01:37:54.4193905Z [2022-11-23 01:29:53,688] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4193998Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.4194087Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4194183Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.4194274Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.4194336Z 8 RETURN_VALUE 2022-11-23T01:37:54.4194342Z 2022-11-23T01:37:54.4194401Z 2022-11-23T01:37:54.4194677Z [2022-11-23 01:29:53,688] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4194783Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_25) 2022-11-23T01:37:54.4194871Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4194963Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4195038Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.4195114Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.4195203Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.4195276Z 12 RETURN_VALUE 2022-11-23T01:37:54.4195281Z 2022-11-23T01:37:54.4195339Z 2022-11-23T01:37:54.4195558Z [2022-11-23 01:29:53,689] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.4195633Z - 2022-11-23T01:37:54.4195757Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.4195808Z { 2022-11-23T01:37:54.4195952Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.4196140Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.4196263Z 'obj_weakref': None 2022-11-23T01:37:54.4196491Z 'guarded_class': 2022-11-23T01:37:54.4196554Z } 2022-11-23T01:37:54.4196647Z 2022-11-23T01:37:54.4196705Z - 2022-11-23T01:37:54.4196833Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.4196895Z { 2022-11-23T01:37:54.4197040Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4197155Z 'code': None, 2022-11-23T01:37:54.4197371Z 'obj_weakref': 2022-11-23T01:37:54.4197628Z 'guarded_class': 2022-11-23T01:37:54.4197692Z } 2022-11-23T01:37:54.4197742Z 2022-11-23T01:37:54.4197811Z - 2022-11-23T01:37:54.4197943Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.4198005Z { 2022-11-23T01:37:54.4198140Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.4198310Z 'code': ['___check_obj_id(model, 140539048778064)'], 2022-11-23T01:37:54.4198423Z 'obj_weakref': None 2022-11-23T01:37:54.4198656Z 'guarded_class': 2022-11-23T01:37:54.4198722Z } 2022-11-23T01:37:54.4198784Z 2022-11-23T01:37:54.4198854Z - 2022-11-23T01:37:54.4198977Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.4199040Z { 2022-11-23T01:37:54.4199168Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.4199386Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.4199507Z 'obj_weakref': None 2022-11-23T01:37:54.4199728Z 'guarded_class': 2022-11-23T01:37:54.4199791Z } 2022-11-23T01:37:54.4199851Z 2022-11-23T01:37:54.4199922Z - 2022-11-23T01:37:54.4200043Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.4200106Z { 2022-11-23T01:37:54.4200229Z 'guard_types': None, 2022-11-23T01:37:54.4200338Z 'code': None, 2022-11-23T01:37:54.4200457Z 'obj_weakref': None 2022-11-23T01:37:54.4200579Z 'guarded_class': None 2022-11-23T01:37:54.4200642Z } 2022-11-23T01:37:54.4200691Z 2022-11-23T01:37:54.4200953Z [2022-11-23 01:29:53,694] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 24 2022-11-23T01:37:54.4201330Z [2022-11-23 01:29:55,126] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hk/chkkxuhn75addufhnaeuui4hflpiuawal5pq3zqrtbxxohzig4r2.py 2022-11-23T01:37:54.4201597Z [2022-11-23 01:29:55,127] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 24 2022-11-23T01:37:54.4201603Z 2022-11-23T01:37:54.4201699Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.4201768Z import torch 2022-11-23T01:37:54.4201841Z import random 2022-11-23T01:37:54.4201957Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.4202067Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.4202073Z 2022-11-23T01:37:54.4202152Z aten = torch.ops.aten 2022-11-23T01:37:54.4202287Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.4202379Z async_compile = AsyncCompile() 2022-11-23T01:37:54.4202384Z 2022-11-23T01:37:54.4202420Z 2022-11-23T01:37:54.4202560Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.4202768Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.4202889Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.4202985Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.4209148Z { 2022-11-23T01:37:54.4209270Z #pragma GCC ivdep 2022-11-23T01:37:54.4209354Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:54.4209418Z { 2022-11-23T01:37:54.4209486Z #pragma GCC ivdep 2022-11-23T01:37:54.4209647Z for(long i1=0; i1<7; i1+=1) 2022-11-23T01:37:54.4209711Z { 2022-11-23T01:37:54.4209793Z #pragma GCC ivdep 2022-11-23T01:37:54.4209879Z for(long i2=0; i2<7; i2+=1) 2022-11-23T01:37:54.4209943Z { 2022-11-23T01:37:54.4209995Z { 2022-11-23T01:37:54.4210062Z { 2022-11-23T01:37:54.4210181Z auto tmp0 = in_ptr0[(2*i2) + (32*i1) + (256*i0)]; 2022-11-23T01:37:54.4210298Z auto tmp1 = in_ptr0[1 + (2*i2) + (32*i1) + (256*i0)]; 2022-11-23T01:37:54.4210410Z auto tmp3 = in_ptr0[2 + (2*i2) + (32*i1) + (256*i0)]; 2022-11-23T01:37:54.4210523Z auto tmp5 = in_ptr0[16 + (2*i2) + (32*i1) + (256*i0)]; 2022-11-23T01:37:54.4210633Z auto tmp7 = in_ptr0[17 + (2*i2) + (32*i1) + (256*i0)]; 2022-11-23T01:37:54.4210742Z auto tmp9 = in_ptr0[18 + (2*i2) + (32*i1) + (256*i0)]; 2022-11-23T01:37:54.4210846Z auto tmp11 = in_ptr0[32 + (2*i2) + (32*i1) + (256*i0)]; 2022-11-23T01:37:54.4210964Z auto tmp13 = in_ptr0[33 + (2*i2) + (32*i1) + (256*i0)]; 2022-11-23T01:37:54.4211073Z auto tmp15 = in_ptr0[34 + (2*i2) + (32*i1) + (256*i0)]; 2022-11-23T01:37:54.4211168Z auto tmp2 = tmp1 + tmp0; 2022-11-23T01:37:54.4211262Z auto tmp4 = tmp3 + tmp2; 2022-11-23T01:37:54.4211352Z auto tmp6 = tmp5 + tmp4; 2022-11-23T01:37:54.4211446Z auto tmp8 = tmp7 + tmp6; 2022-11-23T01:37:54.4211539Z auto tmp10 = tmp9 + tmp8; 2022-11-23T01:37:54.4211622Z auto tmp12 = tmp11 + tmp10; 2022-11-23T01:37:54.4211713Z auto tmp14 = tmp13 + tmp12; 2022-11-23T01:37:54.4211802Z auto tmp16 = tmp15 + tmp14; 2022-11-23T01:37:54.4211920Z auto tmp17 = static_cast(0.1111111111111111); 2022-11-23T01:37:54.4212015Z auto tmp18 = tmp16 * tmp17; 2022-11-23T01:37:54.4212115Z out_ptr0[i2 + (7*i1) + (49*i0)] = tmp18; 2022-11-23T01:37:54.4212181Z } 2022-11-23T01:37:54.4212233Z } 2022-11-23T01:37:54.4212295Z } 2022-11-23T01:37:54.4212356Z } 2022-11-23T01:37:54.4212417Z } 2022-11-23T01:37:54.4212476Z } 2022-11-23T01:37:54.4212594Z ''') 2022-11-23T01:37:54.4212602Z 2022-11-23T01:37:54.4212606Z 2022-11-23T01:37:54.4212696Z async_compile.wait(globals()) 2022-11-23T01:37:54.4212755Z del async_compile 2022-11-23T01:37:54.4212759Z 2022-11-23T01:37:54.4212826Z def call(args): 2022-11-23T01:37:54.4212894Z arg0_1, = args 2022-11-23T01:37:54.4212964Z args.clear() 2022-11-23T01:37:54.4213189Z buf0 = empty_strided((2, 4, 7, 7), (196, 49, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4213327Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.4213398Z del arg0_1 2022-11-23T01:37:54.4213455Z return (buf0, ) 2022-11-23T01:37:54.4213460Z 2022-11-23T01:37:54.4213477Z 2022-11-23T01:37:54.4213539Z if __name__ == "__main__": 2022-11-23T01:37:54.4213654Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.4213776Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.4214041Z arg0_1 = rand_strided((2, 4, 16, 16), (1024, 256, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4214152Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.4214156Z 2022-11-23T01:37:54.4214224Z ok (1.458s) 2022-11-23T01:37:54.4214544Z test_avg_pool2d2_cpu (__main__.CpuTests) ... [2022-11-23 01:29:55,178] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.4214808Z [2022-11-23 01:29:55,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.4215035Z [2022-11-23 01:29:55,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.4215328Z [2022-11-23 01:29:55,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.4215618Z [2022-11-23 01:29:55,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.4215951Z [2022-11-23 01:29:55,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.4216279Z [2022-11-23 01:29:55,179] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.4216378Z 2021 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.4216482Z 2 LOAD_METHOD 1 (avg_pool2d) 2022-11-23T01:37:54.4216573Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:54.4216652Z 6 LOAD_CONST 1 (3) 2022-11-23T01:37:54.4216740Z 8 LOAD_CONST 1 (3) 2022-11-23T01:37:54.4216827Z 10 BUILD_LIST 2 2022-11-23T01:37:54.4216913Z 12 LOAD_CONST 2 (2) 2022-11-23T01:37:54.4216999Z 14 LOAD_CONST 2 (2) 2022-11-23T01:37:54.4217087Z 16 BUILD_LIST 2 2022-11-23T01:37:54.4217172Z 18 CALL_METHOD 3 2022-11-23T01:37:54.4217235Z 20 RETURN_VALUE 2022-11-23T01:37:54.4217295Z 2022-11-23T01:37:54.4217300Z 2022-11-23T01:37:54.4217573Z [2022-11-23 01:29:55,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2021 2022-11-23T01:37:54.4217794Z [2022-11-23 01:29:55,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.4218115Z [2022-11-23 01:29:55,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable()] 2022-11-23T01:37:54.4218385Z [2022-11-23 01:29:55,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)] 2022-11-23T01:37:54.4218678Z [2022-11-23 01:29:55,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()] 2022-11-23T01:37:54.4219252Z [2022-11-23 01:29:55,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4219622Z [2022-11-23 01:29:55,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4219942Z [2022-11-23 01:29:55,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()] 2022-11-23T01:37:54.4220298Z [2022-11-23 01:29:55,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4220677Z [2022-11-23 01:29:55,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4221123Z [2022-11-23 01:29:55,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:54.4221379Z [2022-11-23 01:29:55,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.4221717Z [2022-11-23 01:29:55,187] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.4221969Z [2022-11-23 01:29:55,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.4222250Z [2022-11-23 01:29:55,187] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.4222515Z [2022-11-23 01:29:55,189] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.4222776Z [2022-11-23 01:29:55,192] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.4222970Z [2022-11-23 01:29:55,193] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.4223108Z __compiled_fn_26 .170 opcode, name, target, args, kwargs 2022-11-23T01:37:54.4223186Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.4223316Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2]), {} 2022-11-23T01:37:54.4223422Z output, output, output, ((avg_pool2d,),), {} 2022-11-23T01:37:54.4223427Z 2022-11-23T01:37:54.4223707Z [2022-11-23 01:29:55,193] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4223803Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.4223893Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4223990Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.4224066Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.4224141Z 8 RETURN_VALUE 2022-11-23T01:37:54.4224148Z 2022-11-23T01:37:54.4224209Z 2022-11-23T01:37:54.4224480Z [2022-11-23 01:29:55,193] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4224587Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_26) 2022-11-23T01:37:54.4224678Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4224766Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4224843Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.4224920Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.4225008Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.4225086Z 12 RETURN_VALUE 2022-11-23T01:37:54.4225090Z 2022-11-23T01:37:54.4225151Z 2022-11-23T01:37:54.4225334Z [2022-11-23 01:29:55,194] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.4225407Z - 2022-11-23T01:37:54.4225528Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.4225580Z { 2022-11-23T01:37:54.4225727Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.4225919Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.4226043Z 'obj_weakref': None 2022-11-23T01:37:54.4226273Z 'guarded_class': 2022-11-23T01:37:54.4226338Z } 2022-11-23T01:37:54.4226400Z 2022-11-23T01:37:54.4226457Z - 2022-11-23T01:37:54.4226581Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.4226644Z { 2022-11-23T01:37:54.4226790Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4226903Z 'code': None, 2022-11-23T01:37:54.4227123Z 'obj_weakref': 2022-11-23T01:37:54.4227379Z 'guarded_class': 2022-11-23T01:37:54.4227433Z } 2022-11-23T01:37:54.4227528Z 2022-11-23T01:37:54.4227603Z - 2022-11-23T01:37:54.4227733Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.4227796Z { 2022-11-23T01:37:54.4227931Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.4228181Z 'code': ['___check_obj_id(model, 140538742055712)'], 2022-11-23T01:37:54.4228297Z 'obj_weakref': None 2022-11-23T01:37:54.4228530Z 'guarded_class': 2022-11-23T01:37:54.4228596Z } 2022-11-23T01:37:54.4228699Z 2022-11-23T01:37:54.4228774Z - 2022-11-23T01:37:54.4228898Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.4228962Z { 2022-11-23T01:37:54.4229090Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.4229310Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.4229436Z 'obj_weakref': None 2022-11-23T01:37:54.4229661Z 'guarded_class': 2022-11-23T01:37:54.4229725Z } 2022-11-23T01:37:54.4229786Z 2022-11-23T01:37:54.4229859Z - 2022-11-23T01:37:54.4229978Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.4230041Z { 2022-11-23T01:37:54.4230163Z 'guard_types': None, 2022-11-23T01:37:54.4230273Z 'code': None, 2022-11-23T01:37:54.4230394Z 'obj_weakref': None 2022-11-23T01:37:54.4230518Z 'guarded_class': None 2022-11-23T01:37:54.4230583Z } 2022-11-23T01:37:54.4230632Z 2022-11-23T01:37:54.4230895Z [2022-11-23 01:29:55,199] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 25 2022-11-23T01:37:54.4231269Z [2022-11-23 01:29:56,622] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gc/cgceeh34lvcd22onwtzzmxnirajmvaztz5ub2v6r5oenorm6ccn7.py 2022-11-23T01:37:54.4231539Z [2022-11-23 01:29:56,622] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 25 2022-11-23T01:37:54.4231545Z 2022-11-23T01:37:54.4231638Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.4231704Z import torch 2022-11-23T01:37:54.4231773Z import random 2022-11-23T01:37:54.4231889Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.4231997Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.4232002Z 2022-11-23T01:37:54.4232078Z aten = torch.ops.aten 2022-11-23T01:37:54.4232215Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.4232308Z async_compile = AsyncCompile() 2022-11-23T01:37:54.4232313Z 2022-11-23T01:37:54.4232318Z 2022-11-23T01:37:54.4232452Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.4232658Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.4232779Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.4232878Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.4232925Z { 2022-11-23T01:37:54.4233002Z #pragma GCC ivdep 2022-11-23T01:37:54.4233081Z for(long i0=0; i0<1024; i0+=1) 2022-11-23T01:37:54.4233142Z { 2022-11-23T01:37:54.4233218Z #pragma GCC ivdep 2022-11-23T01:37:54.4233299Z for(long i1=0; i1<27; i1+=1) 2022-11-23T01:37:54.4233350Z { 2022-11-23T01:37:54.4233426Z #pragma GCC ivdep 2022-11-23T01:37:54.4233512Z for(long i2=0; i2<27; i2+=1) 2022-11-23T01:37:54.4233579Z { 2022-11-23T01:37:54.4233642Z { 2022-11-23T01:37:54.4233712Z { 2022-11-23T01:37:54.4233824Z auto tmp0 = in_ptr0[(2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:37:54.4233926Z auto tmp1 = in_ptr0[1 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:37:54.4234068Z auto tmp3 = in_ptr0[2 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:37:54.4234185Z auto tmp5 = in_ptr0[55 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:37:54.4234297Z auto tmp7 = in_ptr0[56 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:37:54.4234406Z auto tmp9 = in_ptr0[57 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:37:54.4234520Z auto tmp11 = in_ptr0[110 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:37:54.4234630Z auto tmp13 = in_ptr0[111 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:37:54.4234771Z auto tmp15 = in_ptr0[112 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:37:54.4234854Z auto tmp2 = tmp1 + tmp0; 2022-11-23T01:37:54.4234946Z auto tmp4 = tmp3 + tmp2; 2022-11-23T01:37:54.4235038Z auto tmp6 = tmp5 + tmp4; 2022-11-23T01:37:54.4235133Z auto tmp8 = tmp7 + tmp6; 2022-11-23T01:37:54.4235226Z auto tmp10 = tmp9 + tmp8; 2022-11-23T01:37:54.4235320Z auto tmp12 = tmp11 + tmp10; 2022-11-23T01:37:54.4235410Z auto tmp14 = tmp13 + tmp12; 2022-11-23T01:37:54.4235498Z auto tmp16 = tmp15 + tmp14; 2022-11-23T01:37:54.4235602Z auto tmp17 = static_cast(0.1111111111111111); 2022-11-23T01:37:54.4235694Z auto tmp18 = tmp16 * tmp17; 2022-11-23T01:37:54.4235795Z out_ptr0[i2 + (27*i1) + (729*i0)] = tmp18; 2022-11-23T01:37:54.4235865Z } 2022-11-23T01:37:54.4235927Z } 2022-11-23T01:37:54.4235990Z } 2022-11-23T01:37:54.4236052Z } 2022-11-23T01:37:54.4236100Z } 2022-11-23T01:37:54.4236160Z } 2022-11-23T01:37:54.4236245Z ''') 2022-11-23T01:37:54.4236250Z 2022-11-23T01:37:54.4236254Z 2022-11-23T01:37:54.4236346Z async_compile.wait(globals()) 2022-11-23T01:37:54.4236420Z del async_compile 2022-11-23T01:37:54.4236425Z 2022-11-23T01:37:54.4236493Z def call(args): 2022-11-23T01:37:54.4236563Z arg0_1, = args 2022-11-23T01:37:54.4236620Z args.clear() 2022-11-23T01:37:54.4236846Z buf0 = empty_strided((16, 64, 27, 27), (46656, 729, 27, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4236980Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.4237048Z del arg0_1 2022-11-23T01:37:54.4237119Z return (buf0, ) 2022-11-23T01:37:54.4237124Z 2022-11-23T01:37:54.4237128Z 2022-11-23T01:37:54.4237202Z if __name__ == "__main__": 2022-11-23T01:37:54.4237317Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.4237438Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.4237658Z arg0_1 = rand_strided((16, 64, 55, 55), (193600, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4237766Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.4237773Z 2022-11-23T01:37:54.4237842Z ok (1.540s) 2022-11-23T01:37:54.4238154Z test_avg_pool2d3_cpu (__main__.CpuTests) ... [2022-11-23 01:29:56,676] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.4238432Z [2022-11-23 01:29:56,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.4238651Z [2022-11-23 01:29:56,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.4238908Z [2022-11-23 01:29:56,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.4239204Z [2022-11-23 01:29:56,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.4239528Z [2022-11-23 01:29:56,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.4239882Z [2022-11-23 01:29:56,677] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.4239979Z 2030 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.4240080Z 2 LOAD_METHOD 1 (avg_pool2d) 2022-11-23T01:37:54.4240172Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:54.4240262Z 6 LOAD_CONST 1 (3) 2022-11-23T01:37:54.4240350Z 8 LOAD_CONST 1 (3) 2022-11-23T01:37:54.4240431Z 10 BUILD_LIST 2 2022-11-23T01:37:54.4240568Z 12 LOAD_CONST 2 (2) 2022-11-23T01:37:54.4240654Z 14 LOAD_CONST 2 (2) 2022-11-23T01:37:54.4240738Z 16 BUILD_LIST 2 2022-11-23T01:37:54.4240823Z 18 LOAD_CONST 3 (1) 2022-11-23T01:37:54.4240896Z 20 LOAD_CONST 3 (1) 2022-11-23T01:37:54.4240980Z 22 BUILD_LIST 2 2022-11-23T01:37:54.4241066Z 24 CALL_METHOD 4 2022-11-23T01:37:54.4241140Z 26 RETURN_VALUE 2022-11-23T01:37:54.4241199Z 2022-11-23T01:37:54.4241205Z 2022-11-23T01:37:54.4241482Z [2022-11-23 01:29:56,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2030 2022-11-23T01:37:54.4241702Z [2022-11-23 01:29:56,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.4242023Z [2022-11-23 01:29:56,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable()] 2022-11-23T01:37:54.4242276Z [2022-11-23 01:29:56,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)] 2022-11-23T01:37:54.4242567Z [2022-11-23 01:29:56,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()] 2022-11-23T01:37:54.4242901Z [2022-11-23 01:29:56,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4243269Z [2022-11-23 01:29:56,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4243585Z [2022-11-23 01:29:56,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()] 2022-11-23T01:37:54.4243935Z [2022-11-23 01:29:56,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4244328Z [2022-11-23 01:29:56,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4244665Z [2022-11-23 01:29:56,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:54.4245036Z [2022-11-23 01:29:56,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4245447Z [2022-11-23 01:29:56,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4245813Z [2022-11-23 01:29:56,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:54.4246065Z [2022-11-23 01:29:56,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.4246415Z [2022-11-23 01:29:56,686] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.4246668Z [2022-11-23 01:29:56,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.4246906Z [2022-11-23 01:29:56,688] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.4247162Z [2022-11-23 01:29:56,689] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.4247416Z [2022-11-23 01:29:56,692] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.4247645Z [2022-11-23 01:29:56,692] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.4247778Z __compiled_fn_27 .176 opcode, name, target, args, kwargs 2022-11-23T01:37:54.4247872Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.4248009Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2], [1, 1]), {} 2022-11-23T01:37:54.4248103Z output, output, output, ((avg_pool2d,),), {} 2022-11-23T01:37:54.4248108Z 2022-11-23T01:37:54.4248389Z [2022-11-23 01:29:56,692] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4248484Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.4248578Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4248670Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.4248763Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.4248844Z 8 RETURN_VALUE 2022-11-23T01:37:54.4248850Z 2022-11-23T01:37:54.4248912Z 2022-11-23T01:37:54.4249175Z [2022-11-23 01:29:56,693] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4249285Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_27) 2022-11-23T01:37:54.4249379Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4249470Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4249549Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.4249640Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.4249733Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.4249794Z 12 RETURN_VALUE 2022-11-23T01:37:54.4249799Z 2022-11-23T01:37:54.4249859Z 2022-11-23T01:37:54.4250046Z [2022-11-23 01:29:56,693] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.4250119Z - 2022-11-23T01:37:54.4250242Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.4250310Z { 2022-11-23T01:37:54.4250458Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.4250636Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.4250764Z 'obj_weakref': None 2022-11-23T01:37:54.4250994Z 'guarded_class': 2022-11-23T01:37:54.4251062Z } 2022-11-23T01:37:54.4251126Z 2022-11-23T01:37:54.4251199Z - 2022-11-23T01:37:54.4251328Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.4251379Z { 2022-11-23T01:37:54.4251523Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4251633Z 'code': None, 2022-11-23T01:37:54.4251850Z 'obj_weakref': 2022-11-23T01:37:54.4252109Z 'guarded_class': 2022-11-23T01:37:54.4252177Z } 2022-11-23T01:37:54.4252243Z 2022-11-23T01:37:54.4252301Z - 2022-11-23T01:37:54.4252434Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.4252499Z { 2022-11-23T01:37:54.4252636Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.4252843Z 'code': ['___check_obj_id(model, 140538742442608)'], 2022-11-23T01:37:54.4252970Z 'obj_weakref': None 2022-11-23T01:37:54.4253206Z 'guarded_class': 2022-11-23T01:37:54.4253257Z } 2022-11-23T01:37:54.4253318Z 2022-11-23T01:37:54.4253390Z - 2022-11-23T01:37:54.4253515Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.4253577Z { 2022-11-23T01:37:54.4253715Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.4253937Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.4254077Z 'obj_weakref': None 2022-11-23T01:37:54.4254300Z 'guarded_class': 2022-11-23T01:37:54.4254364Z } 2022-11-23T01:37:54.4254426Z 2022-11-23T01:37:54.4254497Z - 2022-11-23T01:37:54.4254632Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.4254694Z { 2022-11-23T01:37:54.4254802Z 'guard_types': None, 2022-11-23T01:37:54.4254910Z 'code': None, 2022-11-23T01:37:54.4255030Z 'obj_weakref': None 2022-11-23T01:37:54.4255154Z 'guarded_class': None 2022-11-23T01:37:54.4255215Z } 2022-11-23T01:37:54.4255276Z 2022-11-23T01:37:54.4255534Z [2022-11-23 01:29:56,698] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 26 2022-11-23T01:37:54.4255896Z [2022-11-23 01:29:58,160] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6g/c6gtg7uz7wsf5opfwulpfqolztxkzad3edq4iutqskrsfxa3c4hj.py 2022-11-23T01:37:54.4256163Z [2022-11-23 01:29:58,161] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 26 2022-11-23T01:37:54.4256168Z 2022-11-23T01:37:54.4256261Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.4256330Z import torch 2022-11-23T01:37:54.4256402Z import random 2022-11-23T01:37:54.4256515Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.4256634Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.4256640Z 2022-11-23T01:37:54.4256715Z aten = torch.ops.aten 2022-11-23T01:37:54.4256835Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.4256926Z async_compile = AsyncCompile() 2022-11-23T01:37:54.4256932Z 2022-11-23T01:37:54.4256936Z 2022-11-23T01:37:54.4257073Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.4257276Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.4257398Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.4257496Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.4257556Z { 2022-11-23T01:37:54.4257632Z #pragma GCC ivdep 2022-11-23T01:37:54.4257699Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:54.4257762Z { 2022-11-23T01:37:54.4257838Z #pragma GCC ivdep 2022-11-23T01:37:54.4257918Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:37:54.4257980Z { 2022-11-23T01:37:54.4258041Z { 2022-11-23T01:37:54.4258092Z { 2022-11-23T01:37:54.4258259Z auto tmp0 = static_cast((-1) + (2*i0)); 2022-11-23T01:37:54.4258361Z auto tmp1 = static_cast(0); 2022-11-23T01:37:54.4258451Z auto tmp2 = tmp0 >= tmp1; 2022-11-23T01:37:54.4258550Z auto tmp3 = static_cast(8); 2022-11-23T01:37:54.4258642Z auto tmp4 = tmp0 < tmp3; 2022-11-23T01:37:54.4258867Z auto tmp5 = tmp2 & tmp4; 2022-11-23T01:37:54.4259126Z auto tmp6 = static_cast((-1) + (2*i1)); 2022-11-23T01:37:54.4259211Z auto tmp7 = tmp6 >= tmp1; 2022-11-23T01:37:54.4259304Z auto tmp8 = tmp6 < tmp3; 2022-11-23T01:37:54.4259455Z auto tmp9 = tmp7 & tmp8; 2022-11-23T01:37:54.4259549Z auto tmp10 = tmp5 & tmp9; 2022-11-23T01:37:54.4259631Z float tmp11 = 0.0; 2022-11-23T01:37:54.4259704Z if(tmp10) 2022-11-23T01:37:54.4259769Z { 2022-11-23T01:37:54.4259935Z auto tmp12 = in_ptr0[(-9) + (2*i1) + (16*i0)]; 2022-11-23T01:37:54.4260017Z tmp11 = tmp12; 2022-11-23T01:37:54.4260084Z } 2022-11-23T01:37:54.4260190Z auto tmp13 = static_cast(2*i1); 2022-11-23T01:37:54.4260329Z auto tmp14 = tmp13 >= tmp1; 2022-11-23T01:37:54.4260424Z auto tmp15 = tmp13 < tmp3; 2022-11-23T01:37:54.4260517Z auto tmp16 = tmp14 & tmp15; 2022-11-23T01:37:54.4260597Z auto tmp17 = tmp5 & tmp16; 2022-11-23T01:37:54.4260680Z float tmp18 = 0.0; 2022-11-23T01:37:54.4260758Z if(tmp17) 2022-11-23T01:37:54.4260823Z { 2022-11-23T01:37:54.4260997Z auto tmp19 = in_ptr0[(-8) + (2*i1) + (16*i0)]; 2022-11-23T01:37:54.4261076Z tmp18 = tmp19; 2022-11-23T01:37:54.4261141Z } 2022-11-23T01:37:54.4261222Z auto tmp20 = tmp18 + tmp11; 2022-11-23T01:37:54.4261330Z auto tmp21 = static_cast(1 + (2*i1)); 2022-11-23T01:37:54.4261421Z auto tmp22 = tmp21 >= tmp1; 2022-11-23T01:37:54.4261515Z auto tmp23 = tmp21 < tmp3; 2022-11-23T01:37:54.4261608Z auto tmp24 = tmp22 & tmp23; 2022-11-23T01:37:54.4261700Z auto tmp25 = tmp5 & tmp24; 2022-11-23T01:37:54.4261784Z float tmp26 = 0.0; 2022-11-23T01:37:54.4261845Z if(tmp25) 2022-11-23T01:37:54.4261910Z { 2022-11-23T01:37:54.4262085Z auto tmp27 = in_ptr0[(-7) + (2*i1) + (16*i0)]; 2022-11-23T01:37:54.4262164Z tmp26 = tmp27; 2022-11-23T01:37:54.4262229Z } 2022-11-23T01:37:54.4262319Z auto tmp28 = tmp26 + tmp20; 2022-11-23T01:37:54.4262425Z auto tmp29 = static_cast(2*i0); 2022-11-23T01:37:54.4262502Z auto tmp30 = tmp29 >= tmp1; 2022-11-23T01:37:54.4262593Z auto tmp31 = tmp29 < tmp3; 2022-11-23T01:37:54.4262683Z auto tmp32 = tmp30 & tmp31; 2022-11-23T01:37:54.4262773Z auto tmp33 = tmp32 & tmp9; 2022-11-23T01:37:54.4262857Z float tmp34 = 0.0; 2022-11-23T01:37:54.4262929Z if(tmp33) 2022-11-23T01:37:54.4262993Z { 2022-11-23T01:37:54.4263152Z auto tmp35 = in_ptr0[(-1) + (2*i1) + (16*i0)]; 2022-11-23T01:37:54.4263229Z tmp34 = tmp35; 2022-11-23T01:37:54.4263293Z } 2022-11-23T01:37:54.4263384Z auto tmp36 = tmp34 + tmp28; 2022-11-23T01:37:54.4263473Z auto tmp37 = tmp32 & tmp16; 2022-11-23T01:37:54.4263552Z float tmp38 = 0.0; 2022-11-23T01:37:54.4263626Z if(tmp37) 2022-11-23T01:37:54.4263680Z { 2022-11-23T01:37:54.4263784Z auto tmp39 = in_ptr0[(2*i1) + (16*i0)]; 2022-11-23T01:37:54.4263861Z tmp38 = tmp39; 2022-11-23T01:37:54.4263927Z } 2022-11-23T01:37:54.4264015Z auto tmp40 = tmp38 + tmp36; 2022-11-23T01:37:54.4264107Z auto tmp41 = tmp32 & tmp24; 2022-11-23T01:37:54.4264185Z float tmp42 = 0.0; 2022-11-23T01:37:54.4264245Z if(tmp41) 2022-11-23T01:37:54.4264309Z { 2022-11-23T01:37:54.4264414Z auto tmp43 = in_ptr0[1 + (2*i1) + (16*i0)]; 2022-11-23T01:37:54.4264490Z tmp42 = tmp43; 2022-11-23T01:37:54.4264585Z } 2022-11-23T01:37:54.4264676Z auto tmp44 = tmp42 + tmp40; 2022-11-23T01:37:54.4264786Z auto tmp45 = static_cast(1 + (2*i0)); 2022-11-23T01:37:54.4264865Z auto tmp46 = tmp45 >= tmp1; 2022-11-23T01:37:54.4264953Z auto tmp47 = tmp45 < tmp3; 2022-11-23T01:37:54.4265041Z auto tmp48 = tmp46 & tmp47; 2022-11-23T01:37:54.4265130Z auto tmp49 = tmp48 & tmp9; 2022-11-23T01:37:54.4265210Z float tmp50 = 0.0; 2022-11-23T01:37:54.4265281Z if(tmp49) 2022-11-23T01:37:54.4265379Z { 2022-11-23T01:37:54.4265487Z auto tmp51 = in_ptr0[7 + (2*i1) + (16*i0)]; 2022-11-23T01:37:54.4265552Z tmp50 = tmp51; 2022-11-23T01:37:54.4265618Z } 2022-11-23T01:37:54.4265708Z auto tmp52 = tmp50 + tmp44; 2022-11-23T01:37:54.4265798Z auto tmp53 = tmp48 & tmp16; 2022-11-23T01:37:54.4265876Z float tmp54 = 0.0; 2022-11-23T01:37:54.4265947Z if(tmp53) 2022-11-23T01:37:54.4266011Z { 2022-11-23T01:37:54.4266102Z auto tmp55 = in_ptr0[8 + (2*i1) + (16*i0)]; 2022-11-23T01:37:54.4266179Z tmp54 = tmp55; 2022-11-23T01:37:54.4266243Z } 2022-11-23T01:37:54.4266331Z auto tmp56 = tmp54 + tmp52; 2022-11-23T01:37:54.4266421Z auto tmp57 = tmp48 & tmp24; 2022-11-23T01:37:54.4266499Z float tmp58 = 0.0; 2022-11-23T01:37:54.4266571Z if(tmp57) 2022-11-23T01:37:54.4266623Z { 2022-11-23T01:37:54.4266730Z auto tmp59 = in_ptr0[9 + (2*i1) + (16*i0)]; 2022-11-23T01:37:54.4266807Z tmp58 = tmp59; 2022-11-23T01:37:54.4266874Z } 2022-11-23T01:37:54.4266965Z auto tmp60 = tmp58 + tmp56; 2022-11-23T01:37:54.4267081Z auto tmp61 = static_cast(0.1111111111111111); 2022-11-23T01:37:54.4267169Z auto tmp62 = tmp60 * tmp61; 2022-11-23T01:37:54.4267250Z out_ptr0[i1 + (4*i0)] = tmp62; 2022-11-23T01:37:54.4267314Z } 2022-11-23T01:37:54.4267377Z } 2022-11-23T01:37:54.4267441Z } 2022-11-23T01:37:54.4267501Z } 2022-11-23T01:37:54.4267560Z } 2022-11-23T01:37:54.4267629Z ''') 2022-11-23T01:37:54.4267635Z 2022-11-23T01:37:54.4267651Z 2022-11-23T01:37:54.4267728Z async_compile.wait(globals()) 2022-11-23T01:37:54.4267801Z del async_compile 2022-11-23T01:37:54.4267806Z 2022-11-23T01:37:54.4267874Z def call(args): 2022-11-23T01:37:54.4267941Z arg0_1, = args 2022-11-23T01:37:54.4268013Z args.clear() 2022-11-23T01:37:54.4268305Z buf0 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4268448Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.4268502Z del arg0_1 2022-11-23T01:37:54.4268576Z return (buf0, ) 2022-11-23T01:37:54.4268580Z 2022-11-23T01:37:54.4268585Z 2022-11-23T01:37:54.4268661Z if __name__ == "__main__": 2022-11-23T01:37:54.4268774Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.4268897Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.4269117Z arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4269224Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.4269231Z 2022-11-23T01:37:54.4269299Z ok (1.494s) 2022-11-23T01:37:54.4269599Z test_avg_pool2d4_cpu (__main__.CpuTests) ... [2022-11-23 01:29:58,170] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.4269872Z [2022-11-23 01:29:58,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.4270133Z [2022-11-23 01:29:58,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.4270393Z [2022-11-23 01:29:58,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.4270681Z [2022-11-23 01:29:58,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.4271007Z [2022-11-23 01:29:58,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.4271371Z [2022-11-23 01:29:58,171] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.4271466Z 2039 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.4271567Z 2 LOAD_METHOD 1 (avg_pool2d) 2022-11-23T01:37:54.4271649Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:54.4271737Z 6 LOAD_CONST 1 (3) 2022-11-23T01:37:54.4271825Z 8 LOAD_CONST 1 (3) 2022-11-23T01:37:54.4271913Z 10 BUILD_LIST 2 2022-11-23T01:37:54.4271999Z 12 LOAD_CONST 2 (2) 2022-11-23T01:37:54.4272086Z 14 LOAD_CONST 2 (2) 2022-11-23T01:37:54.4272170Z 16 BUILD_LIST 2 2022-11-23T01:37:54.4272244Z 18 LOAD_CONST 3 (0) 2022-11-23T01:37:54.4272329Z 20 LOAD_CONST 3 (0) 2022-11-23T01:37:54.4272418Z 22 BUILD_LIST 2 2022-11-23T01:37:54.4272509Z 24 LOAD_CONST 4 (True) 2022-11-23T01:37:54.4272594Z 26 CALL_METHOD 5 2022-11-23T01:37:54.4272669Z 28 RETURN_VALUE 2022-11-23T01:37:54.4272730Z 2022-11-23T01:37:54.4272735Z 2022-11-23T01:37:54.4273008Z [2022-11-23 01:29:58,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2039 2022-11-23T01:37:54.4273217Z [2022-11-23 01:29:58,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.4273534Z [2022-11-23 01:29:58,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable()] 2022-11-23T01:37:54.4273797Z [2022-11-23 01:29:58,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)] 2022-11-23T01:37:54.4274089Z [2022-11-23 01:29:58,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()] 2022-11-23T01:37:54.4274422Z [2022-11-23 01:29:58,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4274789Z [2022-11-23 01:29:58,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4275104Z [2022-11-23 01:29:58,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()] 2022-11-23T01:37:54.4275455Z [2022-11-23 01:29:58,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4275844Z [2022-11-23 01:29:58,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4276185Z [2022-11-23 01:29:58,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:54.4276587Z [2022-11-23 01:29:58,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4276998Z [2022-11-23 01:29:58,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4277355Z [2022-11-23 01:29:58,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:54.4277763Z [2022-11-23 01:29:58,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:37:54.4278046Z [2022-11-23 01:29:58,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.4278385Z [2022-11-23 01:29:58,179] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.4278636Z [2022-11-23 01:29:58,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.4278873Z [2022-11-23 01:29:58,179] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.4279130Z [2022-11-23 01:29:58,180] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.4279381Z [2022-11-23 01:29:58,183] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.4279577Z [2022-11-23 01:29:58,183] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.4279711Z __compiled_fn_28 .182 opcode, name, target, args, kwargs 2022-11-23T01:37:54.4279789Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.4279928Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2], [0, 0], True), {} 2022-11-23T01:37:54.4280035Z output, output, output, ((avg_pool2d,),), {} 2022-11-23T01:37:54.4280041Z 2022-11-23T01:37:54.4280321Z [2022-11-23 01:29:58,184] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4280417Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.4280506Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4280599Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.4280686Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.4280750Z 8 RETURN_VALUE 2022-11-23T01:37:54.4280761Z 2022-11-23T01:37:54.4280820Z 2022-11-23T01:37:54.4281097Z [2022-11-23 01:29:58,184] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4281206Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_28) 2022-11-23T01:37:54.4281295Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4281384Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4281459Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.4281533Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.4281622Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.4281697Z 12 RETURN_VALUE 2022-11-23T01:37:54.4281702Z 2022-11-23T01:37:54.4281761Z 2022-11-23T01:37:54.4281946Z [2022-11-23 01:29:58,184] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.4282019Z - 2022-11-23T01:37:54.4282138Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.4282190Z { 2022-11-23T01:37:54.4282335Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.4282526Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.4282648Z 'obj_weakref': None 2022-11-23T01:37:54.4282873Z 'guarded_class': 2022-11-23T01:37:54.4282966Z } 2022-11-23T01:37:54.4283031Z 2022-11-23T01:37:54.4283090Z - 2022-11-23T01:37:54.4283216Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.4283279Z { 2022-11-23T01:37:54.4283423Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4283533Z 'code': None, 2022-11-23T01:37:54.4283751Z 'obj_weakref': 2022-11-23T01:37:54.4284010Z 'guarded_class': 2022-11-23T01:37:54.4284125Z } 2022-11-23T01:37:54.4284175Z 2022-11-23T01:37:54.4284247Z - 2022-11-23T01:37:54.4284384Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.4284450Z { 2022-11-23T01:37:54.4284588Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.4284764Z 'code': ['___check_obj_id(model, 140538741426080)'], 2022-11-23T01:37:54.4284878Z 'obj_weakref': None 2022-11-23T01:37:54.4285115Z 'guarded_class': 2022-11-23T01:37:54.4285182Z } 2022-11-23T01:37:54.4285247Z 2022-11-23T01:37:54.4285320Z - 2022-11-23T01:37:54.4285447Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.4285515Z { 2022-11-23T01:37:54.4285641Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.4285862Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.4285988Z 'obj_weakref': None 2022-11-23T01:37:54.4286216Z 'guarded_class': 2022-11-23T01:37:54.4286282Z } 2022-11-23T01:37:54.4286346Z 2022-11-23T01:37:54.4286419Z - 2022-11-23T01:37:54.4286541Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.4286609Z { 2022-11-23T01:37:54.4286735Z 'guard_types': None, 2022-11-23T01:37:54.4286847Z 'code': None, 2022-11-23T01:37:54.4286968Z 'obj_weakref': None 2022-11-23T01:37:54.4287094Z 'guarded_class': None 2022-11-23T01:37:54.4287159Z } 2022-11-23T01:37:54.4287210Z 2022-11-23T01:37:54.4287475Z [2022-11-23 01:29:58,190] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 27 2022-11-23T01:37:54.4287857Z [2022-11-23 01:29:59,663] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/s6/cs6p6inghz2xikki4edhl7hprowvjsyhvggykncvi7le3dufjbi3.py 2022-11-23T01:37:54.4288126Z [2022-11-23 01:29:59,663] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 27 2022-11-23T01:37:54.4288132Z 2022-11-23T01:37:54.4288228Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.4288300Z import torch 2022-11-23T01:37:54.4288373Z import random 2022-11-23T01:37:54.4288490Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.4288600Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.4288605Z 2022-11-23T01:37:54.4288684Z aten = torch.ops.aten 2022-11-23T01:37:54.4288821Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.4288913Z async_compile = AsyncCompile() 2022-11-23T01:37:54.4288919Z 2022-11-23T01:37:54.4288923Z 2022-11-23T01:37:54.4289061Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.4289265Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.4289388Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.4289490Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.4289538Z { 2022-11-23T01:37:54.4289617Z #pragma GCC ivdep 2022-11-23T01:37:54.4289699Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:37:54.4289759Z { 2022-11-23T01:37:54.4289838Z #pragma GCC ivdep 2022-11-23T01:37:54.4289955Z for(long i1=0; i1<55; i1+=1) 2022-11-23T01:37:54.4290021Z { 2022-11-23T01:37:54.4290088Z #pragma GCC ivdep 2022-11-23T01:37:54.4290170Z for(long i2=0; i2<55; i2+=1) 2022-11-23T01:37:54.4290240Z { 2022-11-23T01:37:54.4290303Z { 2022-11-23T01:37:54.4290368Z { 2022-11-23T01:37:54.4290480Z auto tmp0 = in_ptr0[(2*i2) + (222*i1) + (12321*i0)]; 2022-11-23T01:37:54.4290597Z auto tmp1 = in_ptr0[1 + (2*i2) + (222*i1) + (12321*i0)]; 2022-11-23T01:37:54.4290728Z auto tmp3 = in_ptr0[2 + (2*i2) + (222*i1) + (12321*i0)]; 2022-11-23T01:37:54.4290844Z auto tmp5 = in_ptr0[111 + (2*i2) + (222*i1) + (12321*i0)]; 2022-11-23T01:37:54.4290954Z auto tmp7 = in_ptr0[112 + (2*i2) + (222*i1) + (12321*i0)]; 2022-11-23T01:37:54.4291064Z auto tmp9 = in_ptr0[113 + (2*i2) + (222*i1) + (12321*i0)]; 2022-11-23T01:37:54.4291177Z auto tmp11 = in_ptr0[222 + (2*i2) + (222*i1) + (12321*i0)]; 2022-11-23T01:37:54.4291286Z auto tmp13 = in_ptr0[223 + (2*i2) + (222*i1) + (12321*i0)]; 2022-11-23T01:37:54.4291394Z auto tmp15 = in_ptr0[224 + (2*i2) + (222*i1) + (12321*i0)]; 2022-11-23T01:37:54.4291490Z auto tmp2 = tmp1 + tmp0; 2022-11-23T01:37:54.4291571Z auto tmp4 = tmp3 + tmp2; 2022-11-23T01:37:54.4291662Z auto tmp6 = tmp5 + tmp4; 2022-11-23T01:37:54.4291752Z auto tmp8 = tmp7 + tmp6; 2022-11-23T01:37:54.4291847Z auto tmp10 = tmp9 + tmp8; 2022-11-23T01:37:54.4291942Z auto tmp12 = tmp11 + tmp10; 2022-11-23T01:37:54.4292034Z auto tmp14 = tmp13 + tmp12; 2022-11-23T01:37:54.4292124Z auto tmp16 = tmp15 + tmp14; 2022-11-23T01:37:54.4292230Z auto tmp17 = static_cast(0.1111111111111111); 2022-11-23T01:37:54.4292322Z auto tmp18 = tmp16 * tmp17; 2022-11-23T01:37:54.4292424Z out_ptr0[i2 + (55*i1) + (3025*i0)] = tmp18; 2022-11-23T01:37:54.4292491Z } 2022-11-23T01:37:54.4292555Z } 2022-11-23T01:37:54.4292616Z } 2022-11-23T01:37:54.4292679Z } 2022-11-23T01:37:54.4292727Z } 2022-11-23T01:37:54.4292784Z } 2022-11-23T01:37:54.4292864Z ''') 2022-11-23T01:37:54.4292870Z 2022-11-23T01:37:54.4292874Z 2022-11-23T01:37:54.4292963Z async_compile.wait(globals()) 2022-11-23T01:37:54.4293037Z del async_compile 2022-11-23T01:37:54.4293042Z 2022-11-23T01:37:54.4293110Z def call(args): 2022-11-23T01:37:54.4293178Z arg0_1, = args 2022-11-23T01:37:54.4293236Z args.clear() 2022-11-23T01:37:54.4293461Z buf0 = empty_strided((2, 8, 55, 55), (24200, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4293594Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.4293663Z del arg0_1 2022-11-23T01:37:54.4293735Z return (buf0, ) 2022-11-23T01:37:54.4293740Z 2022-11-23T01:37:54.4293744Z 2022-11-23T01:37:54.4293819Z if __name__ == "__main__": 2022-11-23T01:37:54.4293930Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.4294052Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.4294271Z arg0_1 = rand_strided((2, 8, 111, 111), (98568, 12321, 111, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4294378Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.4294386Z 2022-11-23T01:37:54.4294452Z ok (1.504s) 2022-11-23T01:37:54.4294766Z test_avg_pool2d5_cpu (__main__.CpuTests) ... [2022-11-23 01:29:59,672] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.4295073Z [2022-11-23 01:29:59,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.4295299Z [2022-11-23 01:29:59,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.4295557Z [2022-11-23 01:29:59,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.4295847Z [2022-11-23 01:29:59,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.4296174Z [2022-11-23 01:29:59,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.4296526Z [2022-11-23 01:29:59,673] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.4296623Z 2048 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.4296722Z 2 LOAD_ATTR 1 (avg_pool2d) 2022-11-23T01:37:54.4296815Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:54.4296903Z 6 LOAD_CONST 1 (3) 2022-11-23T01:37:54.4296989Z 8 LOAD_CONST 1 (3) 2022-11-23T01:37:54.4297077Z 10 BUILD_LIST 2 2022-11-23T01:37:54.4297167Z 12 LOAD_CONST 2 (2) 2022-11-23T01:37:54.4297241Z 14 LOAD_CONST 2 (2) 2022-11-23T01:37:54.4297327Z 16 BUILD_LIST 2 2022-11-23T01:37:54.4297412Z 18 LOAD_CONST 3 (1) 2022-11-23T01:37:54.4297496Z 20 LOAD_CONST 3 (1) 2022-11-23T01:37:54.4297583Z 22 BUILD_LIST 2 2022-11-23T01:37:54.4297674Z 24 LOAD_CONST 4 (False) 2022-11-23T01:37:54.4297847Z 26 LOAD_CONST 5 (('count_include_pad',)) 2022-11-23T01:37:54.4297927Z 28 CALL_FUNCTION_KW 5 2022-11-23T01:37:54.4298004Z 30 RETURN_VALUE 2022-11-23T01:37:54.4298064Z 2022-11-23T01:37:54.4298070Z 2022-11-23T01:37:54.4298342Z [2022-11-23 01:29:59,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2048 2022-11-23T01:37:54.4298561Z [2022-11-23 01:29:59,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.4299095Z [2022-11-23 01:29:59,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable()] 2022-11-23T01:37:54.4299372Z [2022-11-23 01:29:59,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)] 2022-11-23T01:37:54.4299668Z [2022-11-23 01:29:59,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()] 2022-11-23T01:37:54.4299998Z [2022-11-23 01:29:59,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4300351Z [2022-11-23 01:29:59,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4300666Z [2022-11-23 01:29:59,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()] 2022-11-23T01:37:54.4301016Z [2022-11-23 01:29:59,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4301401Z [2022-11-23 01:29:59,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4301740Z [2022-11-23 01:29:59,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:54.4302170Z [2022-11-23 01:29:59,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4302587Z [2022-11-23 01:29:59,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4302954Z [2022-11-23 01:29:59,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:54.4303441Z [2022-11-23 01:29:59,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('count_include_pad',) [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:37:54.4303901Z [2022-11-23 01:29:59,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(tuple)] 2022-11-23T01:37:54.4304154Z [2022-11-23 01:29:59,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.4304494Z [2022-11-23 01:29:59,682] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.4304744Z [2022-11-23 01:29:59,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.4304971Z [2022-11-23 01:29:59,682] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.4305230Z [2022-11-23 01:29:59,683] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.4305481Z [2022-11-23 01:29:59,685] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.4305674Z [2022-11-23 01:29:59,686] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.4305807Z __compiled_fn_29 .188 opcode, name, target, args, kwargs 2022-11-23T01:37:54.4305899Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.4306140Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2], [1, 1]), {'count_include_pad': False} 2022-11-23T01:37:54.4306247Z output, output, output, ((avg_pool2d,),), {} 2022-11-23T01:37:54.4306252Z 2022-11-23T01:37:54.4306531Z [2022-11-23 01:29:59,686] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4306616Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.4306708Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4306801Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.4306890Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.4306968Z 8 RETURN_VALUE 2022-11-23T01:37:54.4306973Z 2022-11-23T01:37:54.4307033Z 2022-11-23T01:37:54.4307311Z [2022-11-23 01:29:59,686] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4307420Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_29) 2022-11-23T01:37:54.4307496Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4307585Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4307661Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.4307748Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.4307841Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.4307915Z 12 RETURN_VALUE 2022-11-23T01:37:54.4307920Z 2022-11-23T01:37:54.4307979Z 2022-11-23T01:37:54.4308237Z [2022-11-23 01:29:59,687] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.4308317Z - 2022-11-23T01:37:54.4308439Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.4308537Z { 2022-11-23T01:37:54.4308688Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.4308878Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.4309002Z 'obj_weakref': None 2022-11-23T01:37:54.4309215Z 'guarded_class': 2022-11-23T01:37:54.4309282Z } 2022-11-23T01:37:54.4309345Z 2022-11-23T01:37:54.4309417Z - 2022-11-23T01:37:54.4309544Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.4309641Z { 2022-11-23T01:37:54.4309786Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4309883Z 'code': None, 2022-11-23T01:37:54.4310097Z 'obj_weakref': 2022-11-23T01:37:54.4310357Z 'guarded_class': 2022-11-23T01:37:54.4310422Z } 2022-11-23T01:37:54.4310486Z 2022-11-23T01:37:54.4310558Z - 2022-11-23T01:37:54.4310690Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.4310740Z { 2022-11-23T01:37:54.4310877Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.4311048Z 'code': ['___check_obj_id(model, 140538741703168)'], 2022-11-23T01:37:54.4311172Z 'obj_weakref': None 2022-11-23T01:37:54.4311404Z 'guarded_class': 2022-11-23T01:37:54.4311469Z } 2022-11-23T01:37:54.4311530Z 2022-11-23T01:37:54.4311588Z - 2022-11-23T01:37:54.4311710Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.4311771Z { 2022-11-23T01:37:54.4311910Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.4312133Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.4312254Z 'obj_weakref': None 2022-11-23T01:37:54.4312478Z 'guarded_class': 2022-11-23T01:37:54.4312529Z } 2022-11-23T01:37:54.4312589Z 2022-11-23T01:37:54.4312659Z - 2022-11-23T01:37:54.4312791Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.4312853Z { 2022-11-23T01:37:54.4312974Z 'guard_types': None, 2022-11-23T01:37:54.4313082Z 'code': None, 2022-11-23T01:37:54.4313188Z 'obj_weakref': None 2022-11-23T01:37:54.4313314Z 'guarded_class': None 2022-11-23T01:37:54.4313376Z } 2022-11-23T01:37:54.4313436Z 2022-11-23T01:37:54.4313696Z [2022-11-23 01:29:59,692] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 28 2022-11-23T01:37:54.4314059Z [2022-11-23 01:30:01,172] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kz/ckzh32vu6i75jtyv67dkyfnz75rt24ot3yopzo4xuqu3uv6vwvjc.py 2022-11-23T01:37:54.4314325Z [2022-11-23 01:30:01,173] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 28 2022-11-23T01:37:54.4314331Z 2022-11-23T01:37:54.4314423Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.4314478Z import torch 2022-11-23T01:37:54.4314546Z import random 2022-11-23T01:37:54.4314660Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.4314778Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.4314783Z 2022-11-23T01:37:54.4314863Z aten = torch.ops.aten 2022-11-23T01:37:54.4314996Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.4315086Z async_compile = AsyncCompile() 2022-11-23T01:37:54.4315092Z 2022-11-23T01:37:54.4315096Z 2022-11-23T01:37:54.4315217Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.4315450Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.4315573Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.4315673Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.4315733Z { 2022-11-23T01:37:54.4315809Z #pragma GCC ivdep 2022-11-23T01:37:54.4315887Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:54.4315936Z { 2022-11-23T01:37:54.4316013Z #pragma GCC ivdep 2022-11-23T01:37:54.4316092Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:37:54.4316153Z { 2022-11-23T01:37:54.4316215Z { 2022-11-23T01:37:54.4316279Z { 2022-11-23T01:37:54.4316520Z auto tmp0 = static_cast((-1) + (2*i0)); 2022-11-23T01:37:54.4316611Z auto tmp1 = static_cast(0); 2022-11-23T01:37:54.4316703Z auto tmp2 = tmp0 >= tmp1; 2022-11-23T01:37:54.4316803Z auto tmp3 = static_cast(8); 2022-11-23T01:37:54.4316895Z auto tmp4 = tmp0 < tmp3; 2022-11-23T01:37:54.4316986Z auto tmp5 = tmp2 & tmp4; 2022-11-23T01:37:54.4317156Z auto tmp6 = static_cast((-1) + (2*i1)); 2022-11-23T01:37:54.4317249Z auto tmp7 = tmp6 >= tmp1; 2022-11-23T01:37:54.4317325Z auto tmp8 = tmp6 < tmp3; 2022-11-23T01:37:54.4317414Z auto tmp9 = tmp7 & tmp8; 2022-11-23T01:37:54.4317504Z auto tmp10 = tmp5 & tmp9; 2022-11-23T01:37:54.4317586Z float tmp11 = 0.0; 2022-11-23T01:37:54.4317659Z if(tmp10) 2022-11-23T01:37:54.4317729Z { 2022-11-23T01:37:54.4317903Z auto tmp12 = in_ptr0[(-9) + (2*i1) + (16*i0)]; 2022-11-23T01:37:54.4317972Z tmp11 = tmp12; 2022-11-23T01:37:54.4318037Z } 2022-11-23T01:37:54.4318141Z auto tmp13 = static_cast(2*i1); 2022-11-23T01:37:54.4318240Z auto tmp14 = tmp13 >= tmp1; 2022-11-23T01:37:54.4318330Z auto tmp15 = tmp13 < tmp3; 2022-11-23T01:37:54.4318420Z auto tmp16 = tmp14 & tmp15; 2022-11-23T01:37:54.4318511Z auto tmp17 = tmp5 & tmp16; 2022-11-23T01:37:54.4318592Z float tmp18 = 0.0; 2022-11-23T01:37:54.4318653Z if(tmp17) 2022-11-23T01:37:54.4318718Z { 2022-11-23T01:37:54.4318890Z auto tmp19 = in_ptr0[(-8) + (2*i1) + (16*i0)]; 2022-11-23T01:37:54.4318969Z tmp18 = tmp19; 2022-11-23T01:37:54.4319035Z } 2022-11-23T01:37:54.4319125Z auto tmp20 = tmp18 + tmp11; 2022-11-23T01:37:54.4319234Z auto tmp21 = static_cast(1 + (2*i1)); 2022-11-23T01:37:54.4319314Z auto tmp22 = tmp21 >= tmp1; 2022-11-23T01:37:54.4319404Z auto tmp23 = tmp21 < tmp3; 2022-11-23T01:37:54.4319495Z auto tmp24 = tmp22 & tmp23; 2022-11-23T01:37:54.4319586Z auto tmp25 = tmp5 & tmp24; 2022-11-23T01:37:54.4319666Z float tmp26 = 0.0; 2022-11-23T01:37:54.4319738Z if(tmp25) 2022-11-23T01:37:54.4319802Z { 2022-11-23T01:37:54.4319960Z auto tmp27 = in_ptr0[(-7) + (2*i1) + (16*i0)]; 2022-11-23T01:37:54.4320041Z tmp26 = tmp27; 2022-11-23T01:37:54.4320106Z } 2022-11-23T01:37:54.4320196Z auto tmp28 = tmp26 + tmp20; 2022-11-23T01:37:54.4320300Z auto tmp29 = static_cast(2*i0); 2022-11-23T01:37:54.4320393Z auto tmp30 = tmp29 >= tmp1; 2022-11-23T01:37:54.4320483Z auto tmp31 = tmp29 < tmp3; 2022-11-23T01:37:54.4320560Z auto tmp32 = tmp30 & tmp31; 2022-11-23T01:37:54.4320649Z auto tmp33 = tmp32 & tmp9; 2022-11-23T01:37:54.4320760Z float tmp34 = 0.0; 2022-11-23T01:37:54.4320835Z if(tmp33) 2022-11-23T01:37:54.4320899Z { 2022-11-23T01:37:54.4321071Z auto tmp35 = in_ptr0[(-1) + (2*i1) + (16*i0)]; 2022-11-23T01:37:54.4321150Z tmp34 = tmp35; 2022-11-23T01:37:54.4321202Z } 2022-11-23T01:37:54.4321291Z auto tmp36 = tmp34 + tmp28; 2022-11-23T01:37:54.4321381Z auto tmp37 = tmp32 & tmp16; 2022-11-23T01:37:54.4321461Z float tmp38 = 0.0; 2022-11-23T01:37:54.4321532Z if(tmp37) 2022-11-23T01:37:54.4321627Z { 2022-11-23T01:37:54.4321730Z auto tmp39 = in_ptr0[(2*i1) + (16*i0)]; 2022-11-23T01:37:54.4321796Z tmp38 = tmp39; 2022-11-23T01:37:54.4321861Z } 2022-11-23T01:37:54.4321954Z auto tmp40 = tmp38 + tmp36; 2022-11-23T01:37:54.4322046Z auto tmp41 = tmp32 & tmp24; 2022-11-23T01:37:54.4322129Z float tmp42 = 0.0; 2022-11-23T01:37:54.4322205Z if(tmp41) 2022-11-23T01:37:54.4322271Z { 2022-11-23T01:37:54.4322365Z auto tmp43 = in_ptr0[1 + (2*i1) + (16*i0)]; 2022-11-23T01:37:54.4322445Z tmp42 = tmp43; 2022-11-23T01:37:54.4322512Z } 2022-11-23T01:37:54.4322604Z auto tmp44 = tmp42 + tmp40; 2022-11-23T01:37:54.4322714Z auto tmp45 = static_cast(1 + (2*i0)); 2022-11-23T01:37:54.4322805Z auto tmp46 = tmp45 >= tmp1; 2022-11-23T01:37:54.4322900Z auto tmp47 = tmp45 < tmp3; 2022-11-23T01:37:54.4322975Z auto tmp48 = tmp46 & tmp47; 2022-11-23T01:37:54.4323066Z auto tmp49 = tmp48 & tmp9; 2022-11-23T01:37:54.4323149Z float tmp50 = 0.0; 2022-11-23T01:37:54.4323224Z if(tmp49) 2022-11-23T01:37:54.4323294Z { 2022-11-23T01:37:54.4323400Z auto tmp51 = in_ptr0[7 + (2*i1) + (16*i0)]; 2022-11-23T01:37:54.4323478Z tmp50 = tmp51; 2022-11-23T01:37:54.4323531Z } 2022-11-23T01:37:54.4323621Z auto tmp52 = tmp50 + tmp44; 2022-11-23T01:37:54.4323713Z auto tmp53 = tmp48 & tmp16; 2022-11-23T01:37:54.4323794Z float tmp54 = 0.0; 2022-11-23T01:37:54.4323867Z if(tmp53) 2022-11-23T01:37:54.4323934Z { 2022-11-23T01:37:54.4324041Z auto tmp55 = in_ptr0[8 + (2*i1) + (16*i0)]; 2022-11-23T01:37:54.4324108Z tmp54 = tmp55; 2022-11-23T01:37:54.4324174Z } 2022-11-23T01:37:54.4324266Z auto tmp56 = tmp54 + tmp52; 2022-11-23T01:37:54.4324356Z auto tmp57 = tmp48 & tmp24; 2022-11-23T01:37:54.4324441Z float tmp58 = 0.0; 2022-11-23T01:37:54.4324516Z if(tmp57) 2022-11-23T01:37:54.4324586Z { 2022-11-23T01:37:54.4324677Z auto tmp59 = in_ptr0[9 + (2*i1) + (16*i0)]; 2022-11-23T01:37:54.4324755Z tmp58 = tmp59; 2022-11-23T01:37:54.4324822Z } 2022-11-23T01:37:54.4324913Z auto tmp60 = tmp58 + tmp56; 2022-11-23T01:37:54.4324994Z float tmp61 = 0.0; 2022-11-23T01:37:54.4325068Z if(tmp10) 2022-11-23T01:37:54.4325135Z { 2022-11-23T01:37:54.4325228Z auto tmp62 = static_cast(1); 2022-11-23T01:37:54.4325306Z tmp61 = tmp62; 2022-11-23T01:37:54.4325370Z } 2022-11-23T01:37:54.4325452Z float tmp63 = 0.0; 2022-11-23T01:37:54.4325525Z if(tmp17) 2022-11-23T01:37:54.4325591Z { 2022-11-23T01:37:54.4325725Z auto tmp64 = static_cast(1); 2022-11-23T01:37:54.4325793Z tmp63 = tmp64; 2022-11-23T01:37:54.4325859Z } 2022-11-23T01:37:54.4325951Z auto tmp65 = tmp63 + tmp61; 2022-11-23T01:37:54.4326032Z float tmp66 = 0.0; 2022-11-23T01:37:54.4326106Z if(tmp25) 2022-11-23T01:37:54.4326168Z { 2022-11-23T01:37:54.4326271Z auto tmp67 = static_cast(1); 2022-11-23T01:37:54.4326335Z tmp66 = tmp67; 2022-11-23T01:37:54.4326398Z } 2022-11-23T01:37:54.4326528Z auto tmp68 = tmp66 + tmp65; 2022-11-23T01:37:54.4326606Z float tmp69 = 0.0; 2022-11-23T01:37:54.4326676Z if(tmp33) 2022-11-23T01:37:54.4326739Z { 2022-11-23T01:37:54.4326844Z auto tmp70 = static_cast(1); 2022-11-23T01:37:54.4326908Z tmp69 = tmp70; 2022-11-23T01:37:54.4326975Z } 2022-11-23T01:37:54.4327065Z auto tmp71 = tmp69 + tmp68; 2022-11-23T01:37:54.4327143Z float tmp72 = 0.0; 2022-11-23T01:37:54.4327214Z if(tmp37) 2022-11-23T01:37:54.4327277Z { 2022-11-23T01:37:54.4327380Z auto tmp73 = static_cast(1); 2022-11-23T01:37:54.4327444Z tmp72 = tmp73; 2022-11-23T01:37:54.4327508Z } 2022-11-23T01:37:54.4327598Z auto tmp74 = tmp72 + tmp71; 2022-11-23T01:37:54.4327680Z float tmp75 = 0.0; 2022-11-23T01:37:54.4327752Z if(tmp41) 2022-11-23T01:37:54.4327818Z { 2022-11-23T01:37:54.4327923Z auto tmp76 = static_cast(1); 2022-11-23T01:37:54.4327986Z tmp75 = tmp76; 2022-11-23T01:37:54.4328051Z } 2022-11-23T01:37:54.4328147Z auto tmp77 = tmp75 + tmp74; 2022-11-23T01:37:54.4328227Z float tmp78 = 0.0; 2022-11-23T01:37:54.4328298Z if(tmp49) 2022-11-23T01:37:54.4328362Z { 2022-11-23T01:37:54.4328464Z auto tmp79 = static_cast(1); 2022-11-23T01:37:54.4328527Z tmp78 = tmp79; 2022-11-23T01:37:54.4328594Z } 2022-11-23T01:37:54.4328684Z auto tmp80 = tmp78 + tmp77; 2022-11-23T01:37:54.4328763Z float tmp81 = 0.0; 2022-11-23T01:37:54.4328833Z if(tmp53) 2022-11-23T01:37:54.4328900Z { 2022-11-23T01:37:54.4329002Z auto tmp82 = static_cast(1); 2022-11-23T01:37:54.4329067Z tmp81 = tmp82; 2022-11-23T01:37:54.4329130Z } 2022-11-23T01:37:54.4329219Z auto tmp83 = tmp81 + tmp80; 2022-11-23T01:37:54.4329301Z float tmp84 = 0.0; 2022-11-23T01:37:54.4329375Z if(tmp57) 2022-11-23T01:37:54.4329441Z { 2022-11-23T01:37:54.4329543Z auto tmp85 = static_cast(1); 2022-11-23T01:37:54.4329607Z tmp84 = tmp85; 2022-11-23T01:37:54.4329671Z } 2022-11-23T01:37:54.4329762Z auto tmp86 = tmp84 + tmp83; 2022-11-23T01:37:54.4329851Z auto tmp87 = tmp60 / tmp86; 2022-11-23T01:37:54.4329943Z out_ptr0[i1 + (4*i0)] = tmp87; 2022-11-23T01:37:54.4330007Z } 2022-11-23T01:37:54.4330071Z } 2022-11-23T01:37:54.4330121Z } 2022-11-23T01:37:54.4330181Z } 2022-11-23T01:37:54.4330239Z } 2022-11-23T01:37:54.4330326Z ''') 2022-11-23T01:37:54.4330333Z 2022-11-23T01:37:54.4330338Z 2022-11-23T01:37:54.4330425Z async_compile.wait(globals()) 2022-11-23T01:37:54.4330496Z del async_compile 2022-11-23T01:37:54.4330501Z 2022-11-23T01:37:54.4330568Z def call(args): 2022-11-23T01:37:54.4330650Z arg0_1, = args 2022-11-23T01:37:54.4330723Z args.clear() 2022-11-23T01:37:54.4330942Z buf0 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4331075Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.4331142Z del arg0_1 2022-11-23T01:37:54.4331211Z return (buf0, ) 2022-11-23T01:37:54.4331216Z 2022-11-23T01:37:54.4331220Z 2022-11-23T01:37:54.4331294Z if __name__ == "__main__": 2022-11-23T01:37:54.4331394Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.4331549Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.4331768Z arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4331876Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.4331880Z 2022-11-23T01:37:54.4331947Z ok (1.507s) 2022-11-23T01:37:54.4332266Z test_avg_pool2d6_cpu (__main__.CpuTests) ... [2022-11-23 01:30:01,179] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.4332541Z [2022-11-23 01:30:01,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.4332765Z [2022-11-23 01:30:01,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.4333023Z [2022-11-23 01:30:01,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.4333302Z [2022-11-23 01:30:01,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.4333633Z [2022-11-23 01:30:01,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.4333965Z [2022-11-23 01:30:01,180] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.4334060Z 2057 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.4334160Z 2 LOAD_ATTR 1 (avg_pool2d) 2022-11-23T01:37:54.4334249Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:54.4334336Z 6 LOAD_CONST 1 (3) 2022-11-23T01:37:54.4334424Z 8 LOAD_CONST 1 (3) 2022-11-23T01:37:54.4334499Z 10 BUILD_LIST 2 2022-11-23T01:37:54.4334586Z 12 LOAD_CONST 2 (2) 2022-11-23T01:37:54.4334671Z 14 LOAD_CONST 2 (2) 2022-11-23T01:37:54.4334757Z 16 BUILD_LIST 2 2022-11-23T01:37:54.4334842Z 18 LOAD_CONST 3 (1) 2022-11-23T01:37:54.4334928Z 20 LOAD_CONST 3 (1) 2022-11-23T01:37:54.4335011Z 22 BUILD_LIST 2 2022-11-23T01:37:54.4335082Z 24 LOAD_CONST 1 (3) 2022-11-23T01:37:54.4335256Z 26 LOAD_CONST 4 (('divisor_override',)) 2022-11-23T01:37:54.4335348Z 28 CALL_FUNCTION_KW 5 2022-11-23T01:37:54.4335422Z 30 RETURN_VALUE 2022-11-23T01:37:54.4335481Z 2022-11-23T01:37:54.4335486Z 2022-11-23T01:37:54.4335757Z [2022-11-23 01:30:01,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2057 2022-11-23T01:37:54.4335978Z [2022-11-23 01:30:01,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.4336298Z [2022-11-23 01:30:01,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable()] 2022-11-23T01:37:54.4336562Z [2022-11-23 01:30:01,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)] 2022-11-23T01:37:54.4336876Z [2022-11-23 01:30:01,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable()] 2022-11-23T01:37:54.4337209Z [2022-11-23 01:30:01,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4337574Z [2022-11-23 01:30:01,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4337887Z [2022-11-23 01:30:01,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()] 2022-11-23T01:37:54.4338271Z [2022-11-23 01:30:01,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4338659Z [2022-11-23 01:30:01,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4339222Z [2022-11-23 01:30:01,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:54.4339604Z [2022-11-23 01:30:01,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4340019Z [2022-11-23 01:30:01,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4340383Z [2022-11-23 01:30:01,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:54.4340814Z [2022-11-23 01:30:01,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('divisor_override',) [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4341274Z [2022-11-23 01:30:01,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(tuple)] 2022-11-23T01:37:54.4341527Z [2022-11-23 01:30:01,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.4341847Z [2022-11-23 01:30:01,188] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.4342099Z [2022-11-23 01:30:01,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.4342336Z [2022-11-23 01:30:01,189] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.4342596Z [2022-11-23 01:30:01,190] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.4342851Z [2022-11-23 01:30:01,192] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.4343044Z [2022-11-23 01:30:01,193] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.4343181Z __compiled_fn_30 .194 opcode, name, target, args, kwargs 2022-11-23T01:37:54.4343271Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.4343504Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [3, 3], [2, 2], [1, 1]), {'divisor_override': 3} 2022-11-23T01:37:54.4343601Z output, output, output, ((avg_pool2d,),), {} 2022-11-23T01:37:54.4343606Z 2022-11-23T01:37:54.4343883Z [2022-11-23 01:30:01,193] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4343976Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.4344121Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4344218Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.4344308Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.4344385Z 8 RETURN_VALUE 2022-11-23T01:37:54.4344390Z 2022-11-23T01:37:54.4344451Z 2022-11-23T01:37:54.4344716Z [2022-11-23 01:30:01,193] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4344824Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_30) 2022-11-23T01:37:54.4344913Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4345042Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4345118Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.4345206Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.4345297Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.4345359Z 12 RETURN_VALUE 2022-11-23T01:37:54.4345364Z 2022-11-23T01:37:54.4345423Z 2022-11-23T01:37:54.4345610Z [2022-11-23 01:30:01,194] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.4345681Z - 2022-11-23T01:37:54.4345801Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.4345866Z { 2022-11-23T01:37:54.4346009Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.4346185Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.4346307Z 'obj_weakref': None 2022-11-23T01:37:54.4346533Z 'guarded_class': 2022-11-23T01:37:54.4346599Z } 2022-11-23T01:37:54.4346661Z 2022-11-23T01:37:54.4346732Z - 2022-11-23T01:37:54.4346861Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.4346913Z { 2022-11-23T01:37:54.4347055Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4347164Z 'code': None, 2022-11-23T01:37:54.4347379Z 'obj_weakref': 2022-11-23T01:37:54.4347635Z 'guarded_class': 2022-11-23T01:37:54.4347698Z } 2022-11-23T01:37:54.4347759Z 2022-11-23T01:37:54.4347817Z - 2022-11-23T01:37:54.4347948Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.4348012Z { 2022-11-23T01:37:54.4348224Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.4348407Z 'code': ['___check_obj_id(model, 140538741559168)'], 2022-11-23T01:37:54.4348532Z 'obj_weakref': None 2022-11-23T01:37:54.4348769Z 'guarded_class': 2022-11-23T01:37:54.4348821Z } 2022-11-23T01:37:54.4348887Z 2022-11-23T01:37:54.4348957Z - 2022-11-23T01:37:54.4349082Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.4349149Z { 2022-11-23T01:37:54.4349287Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.4349507Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.4349616Z 'obj_weakref': None 2022-11-23T01:37:54.4349839Z 'guarded_class': 2022-11-23T01:37:54.4349904Z } 2022-11-23T01:37:54.4349968Z 2022-11-23T01:37:54.4350040Z - 2022-11-23T01:37:54.4350174Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.4350242Z { 2022-11-23T01:37:54.4350351Z 'guard_types': None, 2022-11-23T01:37:54.4350459Z 'code': None, 2022-11-23T01:37:54.4350580Z 'obj_weakref': None 2022-11-23T01:37:54.4350706Z 'guarded_class': None 2022-11-23T01:37:54.4350769Z } 2022-11-23T01:37:54.4350833Z 2022-11-23T01:37:54.4351133Z [2022-11-23 01:30:01,200] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 29 2022-11-23T01:37:54.4351497Z [2022-11-23 01:30:02,643] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ki/ckiyxj7melq6eapbu5x53cba7jovjoiesdpxuji4cv2aqasibof6.py 2022-11-23T01:37:54.4351766Z [2022-11-23 01:30:02,644] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 29 2022-11-23T01:37:54.4351772Z 2022-11-23T01:37:54.4351865Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.4351933Z import torch 2022-11-23T01:37:54.4352003Z import random 2022-11-23T01:37:54.4352150Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.4352270Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.4352276Z 2022-11-23T01:37:54.4352352Z aten = torch.ops.aten 2022-11-23T01:37:54.4352474Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.4352563Z async_compile = AsyncCompile() 2022-11-23T01:37:54.4352570Z 2022-11-23T01:37:54.4352574Z 2022-11-23T01:37:54.4352712Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.4352918Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.4353037Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.4353136Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.4353198Z { 2022-11-23T01:37:54.4353275Z #pragma GCC ivdep 2022-11-23T01:37:54.4353342Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:54.4353403Z { 2022-11-23T01:37:54.4353483Z #pragma GCC ivdep 2022-11-23T01:37:54.4353566Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:37:54.4353628Z { 2022-11-23T01:37:54.4353689Z { 2022-11-23T01:37:54.4353740Z { 2022-11-23T01:37:54.4353910Z auto tmp0 = static_cast((-1) + (2*i0)); 2022-11-23T01:37:54.4354016Z auto tmp1 = static_cast(0); 2022-11-23T01:37:54.4354109Z auto tmp2 = tmp0 >= tmp1; 2022-11-23T01:37:54.4354209Z auto tmp3 = static_cast(8); 2022-11-23T01:37:54.4354298Z auto tmp4 = tmp0 < tmp3; 2022-11-23T01:37:54.4354389Z auto tmp5 = tmp2 & tmp4; 2022-11-23T01:37:54.4354558Z auto tmp6 = static_cast((-1) + (2*i1)); 2022-11-23T01:37:54.4354638Z auto tmp7 = tmp6 >= tmp1; 2022-11-23T01:37:54.4354724Z auto tmp8 = tmp6 < tmp3; 2022-11-23T01:37:54.4354813Z auto tmp9 = tmp7 & tmp8; 2022-11-23T01:37:54.4354905Z auto tmp10 = tmp5 & tmp9; 2022-11-23T01:37:54.4354987Z float tmp11 = 0.0; 2022-11-23T01:37:54.4355061Z if(tmp10) 2022-11-23T01:37:54.4355126Z { 2022-11-23T01:37:54.4355289Z auto tmp12 = in_ptr0[(-9) + (2*i1) + (16*i0)]; 2022-11-23T01:37:54.4355371Z tmp11 = tmp12; 2022-11-23T01:37:54.4355437Z } 2022-11-23T01:37:54.4355540Z auto tmp13 = static_cast(2*i1); 2022-11-23T01:37:54.4355635Z auto tmp14 = tmp13 >= tmp1; 2022-11-23T01:37:54.4355726Z auto tmp15 = tmp13 < tmp3; 2022-11-23T01:37:54.4355818Z auto tmp16 = tmp14 & tmp15; 2022-11-23T01:37:54.4355896Z auto tmp17 = tmp5 & tmp16; 2022-11-23T01:37:54.4355976Z float tmp18 = 0.0; 2022-11-23T01:37:54.4356048Z if(tmp17) 2022-11-23T01:37:54.4356115Z { 2022-11-23T01:37:54.4356288Z auto tmp19 = in_ptr0[(-8) + (2*i1) + (16*i0)]; 2022-11-23T01:37:54.4356366Z tmp18 = tmp19; 2022-11-23T01:37:54.4356432Z } 2022-11-23T01:37:54.4356513Z auto tmp20 = tmp18 + tmp11; 2022-11-23T01:37:54.4356652Z auto tmp21 = static_cast(1 + (2*i1)); 2022-11-23T01:37:54.4356746Z auto tmp22 = tmp21 >= tmp1; 2022-11-23T01:37:54.4356837Z auto tmp23 = tmp21 < tmp3; 2022-11-23T01:37:54.4356925Z auto tmp24 = tmp22 & tmp23; 2022-11-23T01:37:54.4357014Z auto tmp25 = tmp5 & tmp24; 2022-11-23T01:37:54.4357096Z float tmp26 = 0.0; 2022-11-23T01:37:54.4357156Z if(tmp25) 2022-11-23T01:37:54.4357220Z { 2022-11-23T01:37:54.4357395Z auto tmp27 = in_ptr0[(-7) + (2*i1) + (16*i0)]; 2022-11-23T01:37:54.4357509Z tmp26 = tmp27; 2022-11-23T01:37:54.4357575Z } 2022-11-23T01:37:54.4357669Z auto tmp28 = tmp26 + tmp20; 2022-11-23T01:37:54.4357779Z auto tmp29 = static_cast(2*i0); 2022-11-23T01:37:54.4357858Z auto tmp30 = tmp29 >= tmp1; 2022-11-23T01:37:54.4357951Z auto tmp31 = tmp29 < tmp3; 2022-11-23T01:37:54.4358046Z auto tmp32 = tmp30 & tmp31; 2022-11-23T01:37:54.4358137Z auto tmp33 = tmp32 & tmp9; 2022-11-23T01:37:54.4358220Z float tmp34 = 0.0; 2022-11-23T01:37:54.4358294Z if(tmp33) 2022-11-23T01:37:54.4358361Z { 2022-11-23T01:37:54.4358521Z auto tmp35 = in_ptr0[(-1) + (2*i1) + (16*i0)]; 2022-11-23T01:37:54.4358602Z tmp34 = tmp35; 2022-11-23T01:37:54.4358669Z } 2022-11-23T01:37:54.4358763Z auto tmp36 = tmp34 + tmp28; 2022-11-23T01:37:54.4358857Z auto tmp37 = tmp32 & tmp16; 2022-11-23T01:37:54.4358935Z float tmp38 = 0.0; 2022-11-23T01:37:54.4359010Z if(tmp37) 2022-11-23T01:37:54.4359062Z { 2022-11-23T01:37:54.4359168Z auto tmp39 = in_ptr0[(2*i1) + (16*i0)]; 2022-11-23T01:37:54.4359249Z tmp38 = tmp39; 2022-11-23T01:37:54.4359316Z } 2022-11-23T01:37:54.4359408Z auto tmp40 = tmp38 + tmp36; 2022-11-23T01:37:54.4359499Z auto tmp41 = tmp32 & tmp24; 2022-11-23T01:37:54.4359580Z float tmp42 = 0.0; 2022-11-23T01:37:54.4359640Z if(tmp41) 2022-11-23T01:37:54.4359705Z { 2022-11-23T01:37:54.4359812Z auto tmp43 = in_ptr0[1 + (2*i1) + (16*i0)]; 2022-11-23T01:37:54.4359891Z tmp42 = tmp43; 2022-11-23T01:37:54.4359957Z } 2022-11-23T01:37:54.4360050Z auto tmp44 = tmp42 + tmp40; 2022-11-23T01:37:54.4360159Z auto tmp45 = static_cast(1 + (2*i0)); 2022-11-23T01:37:54.4360238Z auto tmp46 = tmp45 >= tmp1; 2022-11-23T01:37:54.4360331Z auto tmp47 = tmp45 < tmp3; 2022-11-23T01:37:54.4360422Z auto tmp48 = tmp46 & tmp47; 2022-11-23T01:37:54.4360516Z auto tmp49 = tmp48 & tmp9; 2022-11-23T01:37:54.4360598Z float tmp50 = 0.0; 2022-11-23T01:37:54.4360673Z if(tmp49) 2022-11-23T01:37:54.4360738Z { 2022-11-23T01:37:54.4360833Z auto tmp51 = in_ptr0[7 + (2*i1) + (16*i0)]; 2022-11-23T01:37:54.4360911Z tmp50 = tmp51; 2022-11-23T01:37:54.4360978Z } 2022-11-23T01:37:54.4361069Z auto tmp52 = tmp50 + tmp44; 2022-11-23T01:37:54.4361160Z auto tmp53 = tmp48 & tmp16; 2022-11-23T01:37:54.4361243Z float tmp54 = 0.0; 2022-11-23T01:37:54.4361316Z if(tmp53) 2022-11-23T01:37:54.4361368Z { 2022-11-23T01:37:54.4361474Z auto tmp55 = in_ptr0[8 + (2*i1) + (16*i0)]; 2022-11-23T01:37:54.4361551Z tmp54 = tmp55; 2022-11-23T01:37:54.4361621Z } 2022-11-23T01:37:54.4361742Z auto tmp56 = tmp54 + tmp52; 2022-11-23T01:37:54.4361835Z auto tmp57 = tmp48 & tmp24; 2022-11-23T01:37:54.4361917Z float tmp58 = 0.0; 2022-11-23T01:37:54.4361978Z if(tmp57) 2022-11-23T01:37:54.4362044Z { 2022-11-23T01:37:54.4362150Z auto tmp59 = in_ptr0[9 + (2*i1) + (16*i0)]; 2022-11-23T01:37:54.4362226Z tmp58 = tmp59; 2022-11-23T01:37:54.4362289Z } 2022-11-23T01:37:54.4362377Z auto tmp60 = tmp58 + tmp56; 2022-11-23T01:37:54.4362523Z auto tmp61 = static_cast(0.3333333333333333); 2022-11-23T01:37:54.4362601Z auto tmp62 = tmp60 * tmp61; 2022-11-23T01:37:54.4362694Z out_ptr0[i1 + (4*i0)] = tmp62; 2022-11-23T01:37:54.4362756Z } 2022-11-23T01:37:54.4362818Z } 2022-11-23T01:37:54.4362880Z } 2022-11-23T01:37:54.4362941Z } 2022-11-23T01:37:54.4362997Z } 2022-11-23T01:37:54.4363066Z ''') 2022-11-23T01:37:54.4363072Z 2022-11-23T01:37:54.4363091Z 2022-11-23T01:37:54.4363168Z async_compile.wait(globals()) 2022-11-23T01:37:54.4363239Z del async_compile 2022-11-23T01:37:54.4363243Z 2022-11-23T01:37:54.4363313Z def call(args): 2022-11-23T01:37:54.4363380Z arg0_1, = args 2022-11-23T01:37:54.4363452Z args.clear() 2022-11-23T01:37:54.4363668Z buf0 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4363803Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.4363861Z del arg0_1 2022-11-23T01:37:54.4363930Z return (buf0, ) 2022-11-23T01:37:54.4363935Z 2022-11-23T01:37:54.4363939Z 2022-11-23T01:37:54.4364013Z if __name__ == "__main__": 2022-11-23T01:37:54.4364125Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.4364247Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.4364465Z arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4364572Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.4364577Z 2022-11-23T01:37:54.4364643Z ok (1.471s) 2022-11-23T01:37:54.4364949Z test_avg_pool2d7_cpu (__main__.CpuTests) ... [2022-11-23 01:30:02,651] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.4365223Z [2022-11-23 01:30:02,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.4365449Z [2022-11-23 01:30:02,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.4365709Z [2022-11-23 01:30:02,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.4365998Z [2022-11-23 01:30:02,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.4366328Z [2022-11-23 01:30:02,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.4366659Z [2022-11-23 01:30:02,651] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.4366756Z 2067 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.4366856Z 2 LOAD_METHOD 1 (avg_pool2d) 2022-11-23T01:37:54.4366936Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:54.4367028Z 6 LOAD_CONST 1 (13) 2022-11-23T01:37:54.4367117Z 8 LOAD_CONST 1 (13) 2022-11-23T01:37:54.4367203Z 10 BUILD_LIST 2 2022-11-23T01:37:54.4367289Z 12 LOAD_CONST 2 (1) 2022-11-23T01:37:54.4367375Z 14 LOAD_CONST 2 (1) 2022-11-23T01:37:54.4367490Z 16 BUILD_LIST 2 2022-11-23T01:37:54.4367566Z 18 LOAD_CONST 3 (0) 2022-11-23T01:37:54.4367651Z 20 LOAD_CONST 3 (0) 2022-11-23T01:37:54.4367735Z 22 BUILD_LIST 2 2022-11-23T01:37:54.4367820Z 24 CALL_METHOD 4 2022-11-23T01:37:54.4367895Z 26 RETURN_VALUE 2022-11-23T01:37:54.4367953Z 2022-11-23T01:37:54.4367958Z 2022-11-23T01:37:54.4368231Z [2022-11-23 01:30:02,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2067 2022-11-23T01:37:54.4368498Z [2022-11-23 01:30:02,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.4368808Z [2022-11-23 01:30:02,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d [TorchVariable()] 2022-11-23T01:37:54.4369073Z [2022-11-23 01:30:02,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.avg_pool2d)] 2022-11-23T01:37:54.4369366Z [2022-11-23 01:30:02,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.avg_pool2d), TensorVariable()] 2022-11-23T01:37:54.4369698Z [2022-11-23 01:30:02,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4370061Z [2022-11-23 01:30:02,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4370375Z [2022-11-23 01:30:02,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable()] 2022-11-23T01:37:54.4370727Z [2022-11-23 01:30:02,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4371120Z [2022-11-23 01:30:02,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4371457Z [2022-11-23 01:30:02,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:54.4371832Z [2022-11-23 01:30:02,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4372240Z [2022-11-23 01:30:02,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4372609Z [2022-11-23 01:30:02,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.avg_pool2d), TensorVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:54.4372848Z [2022-11-23 01:30:02,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.4373179Z [2022-11-23 01:30:02,660] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.4373424Z [2022-11-23 01:30:02,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.4373663Z [2022-11-23 01:30:02,660] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.4373927Z [2022-11-23 01:30:02,661] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.4374180Z [2022-11-23 01:30:02,663] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.4374372Z [2022-11-23 01:30:02,664] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.4374538Z __compiled_fn_31 .200 opcode, name, target, args, kwargs 2022-11-23T01:37:54.4374630Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.4374751Z call_function, avg_pool2d, aten.avg_pool2d, (ex_0_, [13, 13], [1, 1], [0, 0]), {} 2022-11-23T01:37:54.4374856Z output, output, output, ((avg_pool2d,),), {} 2022-11-23T01:37:54.4374861Z 2022-11-23T01:37:54.4375143Z [2022-11-23 01:30:02,664] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4375236Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.4375358Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4375453Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.4375542Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.4375617Z 8 RETURN_VALUE 2022-11-23T01:37:54.4375622Z 2022-11-23T01:37:54.4375670Z 2022-11-23T01:37:54.4375949Z [2022-11-23 01:30:02,664] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4376057Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_31) 2022-11-23T01:37:54.4376147Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4376235Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4376311Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.4376399Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.4376477Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.4376551Z 12 RETURN_VALUE 2022-11-23T01:37:54.4376556Z 2022-11-23T01:37:54.4376617Z 2022-11-23T01:37:54.4376803Z [2022-11-23 01:30:02,665] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.4376875Z - 2022-11-23T01:37:54.4376994Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.4377057Z { 2022-11-23T01:37:54.4377188Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.4377379Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.4377501Z 'obj_weakref': None 2022-11-23T01:37:54.4377727Z 'guarded_class': 2022-11-23T01:37:54.4377791Z } 2022-11-23T01:37:54.4377853Z 2022-11-23T01:37:54.4377925Z - 2022-11-23T01:37:54.4378041Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.4378103Z { 2022-11-23T01:37:54.4378246Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4378358Z 'code': None, 2022-11-23T01:37:54.4378576Z 'obj_weakref': 2022-11-23T01:37:54.4379024Z 'guarded_class': 2022-11-23T01:37:54.4379108Z } 2022-11-23T01:37:54.4379171Z 2022-11-23T01:37:54.4379231Z - 2022-11-23T01:37:54.4379367Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.4379431Z { 2022-11-23T01:37:54.4379568Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.4379740Z 'code': ['___check_obj_id(model, 140538730929760)'], 2022-11-23T01:37:54.4379862Z 'obj_weakref': None 2022-11-23T01:37:54.4380097Z 'guarded_class': 2022-11-23T01:37:54.4380148Z } 2022-11-23T01:37:54.4380211Z 2022-11-23T01:37:54.4380283Z - 2022-11-23T01:37:54.4380409Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.4380475Z { 2022-11-23T01:37:54.4380613Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.4380820Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.4380941Z 'obj_weakref': None 2022-11-23T01:37:54.4381222Z 'guarded_class': 2022-11-23T01:37:54.4381289Z } 2022-11-23T01:37:54.4381353Z 2022-11-23T01:37:54.4381427Z - 2022-11-23T01:37:54.4381560Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.4381612Z { 2022-11-23T01:37:54.4381734Z 'guard_types': None, 2022-11-23T01:37:54.4381842Z 'code': None, 2022-11-23T01:37:54.4381962Z 'obj_weakref': None 2022-11-23T01:37:54.4382086Z 'guarded_class': None 2022-11-23T01:37:54.4382148Z } 2022-11-23T01:37:54.4382209Z 2022-11-23T01:37:54.4382503Z [2022-11-23 01:30:02,671] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 30 2022-11-23T01:37:54.4382735Z [2022-11-23 01:30:02,673] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.avg_pool2d 2022-11-23T01:37:54.4383101Z [2022-11-23 01:30:02,676] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/oo/coo2kvp2yli52xzhpsykr6iii2r6x3qgu2yq2ovdi2n3fzfirbs5.py 2022-11-23T01:37:54.4383367Z [2022-11-23 01:30:02,676] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 30 2022-11-23T01:37:54.4383373Z 2022-11-23T01:37:54.4383465Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.4383532Z import torch 2022-11-23T01:37:54.4383600Z import random 2022-11-23T01:37:54.4383715Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.4383823Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.4383839Z 2022-11-23T01:37:54.4383903Z aten = torch.ops.aten 2022-11-23T01:37:54.4384039Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.4384129Z async_compile = AsyncCompile() 2022-11-23T01:37:54.4384134Z 2022-11-23T01:37:54.4384138Z 2022-11-23T01:37:54.4384225Z async_compile.wait(globals()) 2022-11-23T01:37:54.4384295Z del async_compile 2022-11-23T01:37:54.4384299Z 2022-11-23T01:37:54.4384367Z def call(args): 2022-11-23T01:37:54.4384436Z arg0_1, = args 2022-11-23T01:37:54.4384493Z args.clear() 2022-11-23T01:37:54.4384619Z buf0 = aten.avg_pool2d(arg0_1, [13, 13], [1, 1], [0, 0], False, True, None) 2022-11-23T01:37:54.4384688Z del arg0_1 2022-11-23T01:37:54.4384755Z buf1 = buf0 2022-11-23T01:37:54.4384862Z assert_size_stride(buf1, (1, 1, 12, 12), (144, 144, 12, 1)) 2022-11-23T01:37:54.4384927Z del buf0 2022-11-23T01:37:54.4384996Z return (buf1, ) 2022-11-23T01:37:54.4385001Z 2022-11-23T01:37:54.4385005Z 2022-11-23T01:37:54.4385079Z if __name__ == "__main__": 2022-11-23T01:37:54.4385179Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.4385300Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.4385523Z arg0_1 = rand_strided((1, 1, 24, 24), (576, 576, 24, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4385629Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.4385634Z 2022-11-23T01:37:54.4385701Z ok (0.031s) 2022-11-23T01:37:54.4386029Z test_avg_pool2d_backward2_cpu (__main__.CpuTests) ... [2022-11-23 01:30:02,680] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.4386300Z [2022-11-23 01:30:02,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.4386522Z [2022-11-23 01:30:02,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.4386765Z [2022-11-23 01:30:02,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.4387053Z [2022-11-23 01:30:02,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.4387383Z [2022-11-23 01:30:02,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.4387745Z [2022-11-23 01:30:02,681] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.4387843Z 4058 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.4387954Z 2 LOAD_METHOD 1 (avg_pool2d_backward) 2022-11-23T01:37:54.4387960Z 2022-11-23T01:37:54.4388049Z 4059 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.4388054Z 2022-11-23T01:37:54.4388234Z 4060 6 LOAD_FAST 1 (b) 2022-11-23T01:37:54.4388240Z 2022-11-23T01:37:54.4388334Z 4061 8 LOAD_CONST 1 (3) 2022-11-23T01:37:54.4388410Z 10 LOAD_CONST 1 (3) 2022-11-23T01:37:54.4388532Z 12 BUILD_LIST 2 2022-11-23T01:37:54.4388537Z 2022-11-23T01:37:54.4388626Z 4062 14 LOAD_CONST 2 (1) 2022-11-23T01:37:54.4388712Z 16 LOAD_CONST 2 (1) 2022-11-23T01:37:54.4388800Z 18 BUILD_LIST 2 2022-11-23T01:37:54.4388805Z 2022-11-23T01:37:54.4388892Z 4063 20 LOAD_CONST 2 (1) 2022-11-23T01:37:54.4388975Z 22 LOAD_CONST 2 (1) 2022-11-23T01:37:54.4389061Z 24 BUILD_LIST 2 2022-11-23T01:37:54.4389065Z 2022-11-23T01:37:54.4389159Z 4064 26 LOAD_CONST 3 (True) 2022-11-23T01:37:54.4389164Z 2022-11-23T01:37:54.4389243Z 4065 28 LOAD_CONST 4 (False) 2022-11-23T01:37:54.4389247Z 2022-11-23T01:37:54.4389335Z 4066 30 LOAD_CONST 0 (None) 2022-11-23T01:37:54.4389422Z 32 CALL_METHOD 8 2022-11-23T01:37:54.4389498Z 34 RETURN_VALUE 2022-11-23T01:37:54.4389556Z 2022-11-23T01:37:54.4389561Z 2022-11-23T01:37:54.4389840Z [2022-11-23 01:30:02,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4058 2022-11-23T01:37:54.4390059Z [2022-11-23 01:30:02,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.4390393Z [2022-11-23 01:30:02,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d_backward [TorchVariable()] 2022-11-23T01:37:54.4390650Z [2022-11-23 01:30:02,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4059 2022-11-23T01:37:54.4390922Z [2022-11-23 01:30:02,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.avg_pool2d_backward)] 2022-11-23T01:37:54.4391189Z [2022-11-23 01:30:02,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4060 2022-11-23T01:37:54.4391496Z [2022-11-23 01:30:02,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.avg_pool2d_backward), TensorVariable()] 2022-11-23T01:37:54.4391761Z [2022-11-23 01:30:02,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4061 2022-11-23T01:37:54.4392098Z [2022-11-23 01:30:02,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4392468Z [2022-11-23 01:30:02,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4392878Z [2022-11-23 01:30:02,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4393146Z [2022-11-23 01:30:02,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4062 2022-11-23T01:37:54.4393508Z [2022-11-23 01:30:02,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:37:54.4393933Z [2022-11-23 01:30:02,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4394370Z [2022-11-23 01:30:02,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4394626Z [2022-11-23 01:30:02,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4063 2022-11-23T01:37:54.4395006Z [2022-11-23 01:30:02,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:54.4395470Z [2022-11-23 01:30:02,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4395931Z [2022-11-23 01:30:02,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4396202Z [2022-11-23 01:30:02,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4064 2022-11-23T01:37:54.4396610Z [2022-11-23 01:30:02,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:54.4396880Z [2022-11-23 01:30:02,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4065 2022-11-23T01:37:54.4397335Z [2022-11-23 01:30:02,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:37:54.4397600Z [2022-11-23 01:30:02,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4066 2022-11-23T01:37:54.4398093Z [2022-11-23 01:30:02,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool)] 2022-11-23T01:37:54.4398628Z [2022-11-23 01:30:02,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(NoneType)] 2022-11-23T01:37:54.4398883Z [2022-11-23 01:30:02,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.4399221Z [2022-11-23 01:30:02,689] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.4399470Z [2022-11-23 01:30:02,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.4399695Z [2022-11-23 01:30:02,689] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.4399948Z [2022-11-23 01:30:02,690] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.4400200Z [2022-11-23 01:30:02,692] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.4400394Z [2022-11-23 01:30:02,693] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.4400529Z __compiled_fn_32 .206 opcode, name, target, args, kwargs 2022-11-23T01:37:54.4400619Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.4400705Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.4400909Z call_function, avg_pool2d_backward, aten.avg_pool2d_backward, (ex_0_, ex_1_, [3, 3], [1, 1], [1, 1], True, False, None), {} 2022-11-23T01:37:54.4401016Z output, output, output, ((avg_pool2d_backward,),), {} 2022-11-23T01:37:54.4401033Z 2022-11-23T01:37:54.4401297Z [2022-11-23 01:30:02,693] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4401391Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.4401481Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4401574Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.4401696Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.4401771Z 8 RETURN_VALUE 2022-11-23T01:37:54.4401776Z 2022-11-23T01:37:54.4401838Z 2022-11-23T01:37:54.4402102Z [2022-11-23 01:30:02,693] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4402216Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_32) 2022-11-23T01:37:54.4402309Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4402398Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4402474Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.4402563Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4402652Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.4402714Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.4402802Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.4402895Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.4402974Z 18 RETURN_VALUE 2022-11-23T01:37:54.4402979Z 2022-11-23T01:37:54.4403039Z 2022-11-23T01:37:54.4403227Z [2022-11-23 01:30:02,694] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.4403302Z - 2022-11-23T01:37:54.4403424Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.4403476Z { 2022-11-23T01:37:54.4403623Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.4403814Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.4403940Z 'obj_weakref': None 2022-11-23T01:37:54.4404170Z 'guarded_class': 2022-11-23T01:37:54.4404236Z } 2022-11-23T01:37:54.4404299Z 2022-11-23T01:37:54.4404357Z - 2022-11-23T01:37:54.4404485Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.4404550Z { 2022-11-23T01:37:54.4404699Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4404813Z 'code': None, 2022-11-23T01:37:54.4405030Z 'obj_weakref': 2022-11-23T01:37:54.4405289Z 'guarded_class': 2022-11-23T01:37:54.4405339Z } 2022-11-23T01:37:54.4405405Z 2022-11-23T01:37:54.4405479Z - 2022-11-23T01:37:54.4405606Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.4405671Z { 2022-11-23T01:37:54.4405818Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4405928Z 'code': None, 2022-11-23T01:37:54.4406131Z 'obj_weakref': 2022-11-23T01:37:54.4406389Z 'guarded_class': 2022-11-23T01:37:54.4406454Z } 2022-11-23T01:37:54.4406521Z 2022-11-23T01:37:54.4406593Z - 2022-11-23T01:37:54.4406726Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.4406790Z { 2022-11-23T01:37:54.4406915Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.4407090Z 'code': ['___check_obj_id(model, 140538742141296)'], 2022-11-23T01:37:54.4407214Z 'obj_weakref': None 2022-11-23T01:37:54.4407480Z 'guarded_class': 2022-11-23T01:37:54.4407546Z } 2022-11-23T01:37:54.4407609Z 2022-11-23T01:37:54.4407681Z - 2022-11-23T01:37:54.4407792Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.4407859Z { 2022-11-23T01:37:54.4407999Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.4408219Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.4408343Z 'obj_weakref': None 2022-11-23T01:37:54.4408600Z 'guarded_class': 2022-11-23T01:37:54.4408661Z } 2022-11-23T01:37:54.4408710Z 2022-11-23T01:37:54.4408779Z - 2022-11-23T01:37:54.4408910Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.4408972Z { 2022-11-23T01:37:54.4409094Z 'guard_types': None, 2022-11-23T01:37:54.4409204Z 'code': None, 2022-11-23T01:37:54.4409310Z 'obj_weakref': None 2022-11-23T01:37:54.4409432Z 'guarded_class': None 2022-11-23T01:37:54.4409495Z } 2022-11-23T01:37:54.4409556Z 2022-11-23T01:37:54.4409816Z [2022-11-23 01:30:02,698] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 31 2022-11-23T01:37:54.4409822Z 2022-11-23T01:37:54.4409914Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.4409981Z import torch 2022-11-23T01:37:54.4410049Z import random 2022-11-23T01:37:54.4410154Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.4410273Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.4410278Z 2022-11-23T01:37:54.4410356Z aten = torch.ops.aten 2022-11-23T01:37:54.4410493Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.4410582Z async_compile = AsyncCompile() 2022-11-23T01:37:54.4410589Z 2022-11-23T01:37:54.4410593Z 2022-11-23T01:37:54.4410730Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.4410936Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.4411052Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.4411139Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.4411197Z { 2022-11-23T01:37:54.4411269Z #pragma GCC ivdep 2022-11-23T01:37:54.4411351Z for(long i0=0; i0<20; i0+=1) 2022-11-23T01:37:54.4411411Z { 2022-11-23T01:37:54.4411491Z #pragma GCC ivdep 2022-11-23T01:37:54.4411561Z for(long i1=0; i1<15; i1+=1) 2022-11-23T01:37:54.4411622Z { 2022-11-23T01:37:54.4411682Z { 2022-11-23T01:37:54.4411744Z { 2022-11-23T01:37:54.4411910Z auto tmp0 = static_cast((-1) + i0); 2022-11-23T01:37:54.4412073Z auto tmp1 = static_cast((-1) + i1); 2022-11-23T01:37:54.4412181Z auto tmp2 = static_cast(2 + i0); 2022-11-23T01:37:54.4412274Z auto tmp3 = static_cast(2 + i1); 2022-11-23T01:37:54.4412375Z auto tmp4 = static_cast(0); 2022-11-23T01:37:54.4412493Z auto tmp5 = std::max(tmp0, tmp4); 2022-11-23T01:37:54.4412595Z auto tmp6 = std::max(tmp1, tmp4); 2022-11-23T01:37:54.4412694Z auto tmp7 = static_cast(20); 2022-11-23T01:37:54.4412790Z auto tmp8 = std::min(tmp2, tmp7); 2022-11-23T01:37:54.4412884Z auto tmp9 = static_cast(15); 2022-11-23T01:37:54.4412991Z auto tmp10 = std::min(tmp3, tmp9); 2022-11-23T01:37:54.4413073Z auto tmp11 = tmp5 + tmp4; 2022-11-23T01:37:54.4413162Z auto tmp12 = tmp6 + tmp4; 2022-11-23T01:37:54.4413261Z auto tmp13 = static_cast(1); 2022-11-23T01:37:54.4413420Z auto tmp14 = static_cast(3); 2022-11-23T01:37:54.4413515Z auto tmp15 = tmp11 * tmp13; 2022-11-23T01:37:54.4413660Z auto tmp16 = tmp15 - tmp13; 2022-11-23T01:37:54.4413756Z auto tmp17 = tmp12 * tmp13; 2022-11-23T01:37:54.4413885Z auto tmp18 = tmp17 - tmp13; 2022-11-23T01:37:54.4413977Z auto tmp19 = tmp16 + tmp14; 2022-11-23T01:37:54.4414069Z auto tmp20 = tmp7 + tmp13; 2022-11-23T01:37:54.4414178Z auto tmp21 = std::min(tmp19, tmp20); 2022-11-23T01:37:54.4414319Z auto tmp22 = tmp18 + tmp14; 2022-11-23T01:37:54.4414410Z auto tmp23 = tmp9 + tmp13; 2022-11-23T01:37:54.4414518Z auto tmp24 = std::min(tmp22, tmp23); 2022-11-23T01:37:54.4414625Z auto tmp25 = std::max(tmp16, tmp4); 2022-11-23T01:37:54.4414717Z auto tmp26 = std::max(tmp18, tmp4); 2022-11-23T01:37:54.4414821Z auto tmp27 = std::min(tmp21, tmp7); 2022-11-23T01:37:54.4414925Z auto tmp28 = std::min(tmp24, tmp9); 2022-11-23T01:37:54.4415069Z auto tmp29 = tmp27 - tmp25; 2022-11-23T01:37:54.4415209Z auto tmp30 = tmp28 - tmp26; 2022-11-23T01:37:54.4415299Z auto tmp31 = tmp29 * tmp30; 2022-11-23T01:37:54.4415438Z auto tmp32 = tmp8 - tmp13; 2022-11-23T01:37:54.4415544Z auto tmp33 = std::min(tmp11, tmp32); 2022-11-23T01:37:54.4415672Z auto tmp34 = tmp10 - tmp13; 2022-11-23T01:37:54.4415778Z auto tmp35 = std::min(tmp12, tmp34); 2022-11-23T01:37:54.4415886Z auto tmp36 = in_ptr0[tmp35 + (15*tmp33)]; 2022-11-23T01:37:54.4415976Z auto tmp37 = tmp36 / tmp31; 2022-11-23T01:37:54.4416066Z auto tmp38 = tmp11 < tmp8; 2022-11-23T01:37:54.4416157Z auto tmp39 = tmp12 < tmp10; 2022-11-23T01:37:54.4416248Z auto tmp40 = tmp38 & tmp39; 2022-11-23T01:37:54.4416341Z auto tmp41 = static_cast(0.0); 2022-11-23T01:37:54.4416440Z auto tmp42 = tmp40 ? tmp37 : tmp41; 2022-11-23T01:37:54.4416529Z auto tmp43 = tmp6 + tmp13; 2022-11-23T01:37:54.4416618Z auto tmp44 = tmp43 * tmp13; 2022-11-23T01:37:54.4416755Z auto tmp45 = tmp44 - tmp13; 2022-11-23T01:37:54.4416842Z auto tmp46 = tmp45 + tmp14; 2022-11-23T01:37:54.4416947Z auto tmp47 = std::min(tmp46, tmp23); 2022-11-23T01:37:54.4417041Z auto tmp48 = std::max(tmp45, tmp4); 2022-11-23T01:37:54.4417142Z auto tmp49 = std::min(tmp47, tmp9); 2022-11-23T01:37:54.4417281Z auto tmp50 = tmp49 - tmp48; 2022-11-23T01:37:54.4417370Z auto tmp51 = tmp29 * tmp50; 2022-11-23T01:37:54.4417478Z auto tmp52 = std::min(tmp43, tmp34); 2022-11-23T01:37:54.4417585Z auto tmp53 = in_ptr0[tmp52 + (15*tmp33)]; 2022-11-23T01:37:54.4417675Z auto tmp54 = tmp53 / tmp51; 2022-11-23T01:37:54.4417764Z auto tmp55 = tmp43 < tmp10; 2022-11-23T01:37:54.4417840Z auto tmp56 = tmp38 & tmp55; 2022-11-23T01:37:54.4417933Z auto tmp57 = tmp42 + tmp54; 2022-11-23T01:37:54.4418029Z auto tmp58 = tmp56 ? tmp57 : tmp42; 2022-11-23T01:37:54.4418128Z auto tmp59 = static_cast(2); 2022-11-23T01:37:54.4418219Z auto tmp60 = tmp6 + tmp59; 2022-11-23T01:37:54.4418307Z auto tmp61 = tmp60 * tmp13; 2022-11-23T01:37:54.4418444Z auto tmp62 = tmp61 - tmp13; 2022-11-23T01:37:54.4418520Z auto tmp63 = tmp62 + tmp14; 2022-11-23T01:37:54.4418625Z auto tmp64 = std::min(tmp63, tmp23); 2022-11-23T01:37:54.4418928Z auto tmp65 = std::max(tmp62, tmp4); 2022-11-23T01:37:54.4419105Z auto tmp66 = std::min(tmp64, tmp9); 2022-11-23T01:37:54.4419277Z auto tmp67 = tmp66 - tmp65; 2022-11-23T01:37:54.4419369Z auto tmp68 = tmp29 * tmp67; 2022-11-23T01:37:54.4419473Z auto tmp69 = std::min(tmp60, tmp34); 2022-11-23T01:37:54.4419581Z auto tmp70 = in_ptr0[tmp69 + (15*tmp33)]; 2022-11-23T01:37:54.4419659Z auto tmp71 = tmp70 / tmp68; 2022-11-23T01:37:54.4419747Z auto tmp72 = tmp60 < tmp10; 2022-11-23T01:37:54.4419885Z auto tmp73 = tmp38 & tmp72; 2022-11-23T01:37:54.4419974Z auto tmp74 = tmp58 + tmp71; 2022-11-23T01:37:54.4420071Z auto tmp75 = tmp73 ? tmp74 : tmp58; 2022-11-23T01:37:54.4420162Z auto tmp76 = tmp5 + tmp13; 2022-11-23T01:37:54.4420251Z auto tmp77 = tmp76 * tmp13; 2022-11-23T01:37:54.4420380Z auto tmp78 = tmp77 - tmp13; 2022-11-23T01:37:54.4420470Z auto tmp79 = tmp78 + tmp14; 2022-11-23T01:37:54.4420577Z auto tmp80 = std::min(tmp79, tmp20); 2022-11-23T01:37:54.4420681Z auto tmp81 = std::max(tmp78, tmp4); 2022-11-23T01:37:54.4420785Z auto tmp82 = std::min(tmp80, tmp7); 2022-11-23T01:37:54.4420925Z auto tmp83 = tmp82 - tmp81; 2022-11-23T01:37:54.4421014Z auto tmp84 = tmp83 * tmp30; 2022-11-23T01:37:54.4421118Z auto tmp85 = std::min(tmp76, tmp32); 2022-11-23T01:37:54.4421216Z auto tmp86 = in_ptr0[tmp35 + (15*tmp85)]; 2022-11-23T01:37:54.4421304Z auto tmp87 = tmp86 / tmp84; 2022-11-23T01:37:54.4421394Z auto tmp88 = tmp76 < tmp8; 2022-11-23T01:37:54.4421482Z auto tmp89 = tmp88 & tmp39; 2022-11-23T01:37:54.4421572Z auto tmp90 = tmp75 + tmp87; 2022-11-23T01:37:54.4421669Z auto tmp91 = tmp89 ? tmp90 : tmp75; 2022-11-23T01:37:54.4421757Z auto tmp92 = tmp83 * tmp50; 2022-11-23T01:37:54.4421850Z auto tmp93 = in_ptr0[tmp52 + (15*tmp85)]; 2022-11-23T01:37:54.4421936Z auto tmp94 = tmp93 / tmp92; 2022-11-23T01:37:54.4422022Z auto tmp95 = tmp88 & tmp55; 2022-11-23T01:37:54.4422110Z auto tmp96 = tmp91 + tmp94; 2022-11-23T01:37:54.4422207Z auto tmp97 = tmp95 ? tmp96 : tmp91; 2022-11-23T01:37:54.4422294Z auto tmp98 = tmp83 * tmp67; 2022-11-23T01:37:54.4422400Z auto tmp99 = in_ptr0[tmp69 + (15*tmp85)]; 2022-11-23T01:37:54.4422481Z auto tmp100 = tmp99 / tmp98; 2022-11-23T01:37:54.4422571Z auto tmp101 = tmp88 & tmp72; 2022-11-23T01:37:54.4422664Z auto tmp102 = tmp97 + tmp100; 2022-11-23T01:37:54.4422768Z auto tmp103 = tmp101 ? tmp102 : tmp97; 2022-11-23T01:37:54.4422858Z auto tmp104 = tmp5 + tmp59; 2022-11-23T01:37:54.4422949Z auto tmp105 = tmp104 * tmp13; 2022-11-23T01:37:54.4423095Z auto tmp106 = tmp105 - tmp13; 2022-11-23T01:37:54.4423186Z auto tmp107 = tmp106 + tmp14; 2022-11-23T01:37:54.4423282Z auto tmp108 = std::min(tmp107, tmp20); 2022-11-23T01:37:54.4423387Z auto tmp109 = std::max(tmp106, tmp4); 2022-11-23T01:37:54.4423491Z auto tmp110 = std::min(tmp108, tmp7); 2022-11-23T01:37:54.4423641Z auto tmp111 = tmp110 - tmp109; 2022-11-23T01:37:54.4423733Z auto tmp112 = tmp111 * tmp30; 2022-11-23T01:37:54.4423840Z auto tmp113 = std::min(tmp104, tmp32); 2022-11-23T01:37:54.4423949Z auto tmp114 = in_ptr0[tmp35 + (15*tmp113)]; 2022-11-23T01:37:54.4424060Z auto tmp115 = tmp114 / tmp112; 2022-11-23T01:37:54.4424155Z auto tmp116 = tmp104 < tmp8; 2022-11-23T01:37:54.4424245Z auto tmp117 = tmp116 & tmp39; 2022-11-23T01:37:54.4424337Z auto tmp118 = tmp103 + tmp115; 2022-11-23T01:37:54.4424437Z auto tmp119 = tmp117 ? tmp118 : tmp103; 2022-11-23T01:37:54.4424527Z auto tmp120 = tmp111 * tmp50; 2022-11-23T01:37:54.4424635Z auto tmp121 = in_ptr0[tmp52 + (15*tmp113)]; 2022-11-23T01:37:54.4424727Z auto tmp122 = tmp121 / tmp120; 2022-11-23T01:37:54.4424835Z auto tmp123 = tmp116 & tmp55; 2022-11-23T01:37:54.4424927Z auto tmp124 = tmp119 + tmp122; 2022-11-23T01:37:54.4425026Z auto tmp125 = tmp123 ? tmp124 : tmp119; 2022-11-23T01:37:54.4425116Z auto tmp126 = tmp111 * tmp67; 2022-11-23T01:37:54.4425222Z auto tmp127 = in_ptr0[tmp69 + (15*tmp113)]; 2022-11-23T01:37:54.4425315Z auto tmp128 = tmp127 / tmp126; 2022-11-23T01:37:54.4425404Z auto tmp129 = tmp116 & tmp72; 2022-11-23T01:37:54.4425484Z auto tmp130 = tmp125 + tmp128; 2022-11-23T01:37:54.4425585Z auto tmp131 = tmp129 ? tmp130 : tmp125; 2022-11-23T01:37:54.4425679Z out_ptr0[i1 + (15*i0)] = tmp131; 2022-11-23T01:37:54.4425745Z } 2022-11-23T01:37:54.4425807Z } 2022-11-23T01:37:54.4425868Z } 2022-11-23T01:37:54.4425931Z } 2022-11-23T01:37:54.4425977Z } 2022-11-23T01:37:54.4426059Z ''') 2022-11-23T01:37:54.4426068Z 2022-11-23T01:37:54.4426072Z 2022-11-23T01:37:54.4426161Z async_compile.wait(globals()) 2022-11-23T01:37:54.4426230Z del async_compile 2022-11-23T01:37:54.4426234Z 2022-11-23T01:37:54.4426302Z def call(args): 2022-11-23T01:37:54.4426376Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.4426447Z args.clear() 2022-11-23T01:37:54.4426661Z buf0 = empty_strided((1, 1, 20, 15), (300, 300, 15, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4426797Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.4426864Z del arg0_1 2022-11-23T01:37:54.4426934Z return (buf0, ) 2022-11-23T01:37:54.4426939Z 2022-11-23T01:37:54.4426943Z 2022-11-23T01:37:54.4427017Z if __name__ == "__main__": 2022-11-23T01:37:54.4427127Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.4427251Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.4427474Z arg0_1 = rand_strided((1, 1, 20, 15), (300, 300, 15, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4427688Z arg1_1 = rand_strided((1, 1, 20, 15), (300, 300, 15, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4427803Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.4428254Z [2022-11-23 01:30:04,361] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pb/cpbgwtao4ksr7nctb6gmlso67r7ezospxlo2tfnppidlw5hysx4p.py 2022-11-23T01:37:54.4428530Z [2022-11-23 01:30:04,362] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 31 2022-11-23T01:37:54.4428536Z 2022-11-23T01:37:54.4428604Z ok (1.687s) 2022-11-23T01:37:54.4428931Z test_avg_pool2d_backward3_cpu (__main__.CpuTests) ... [2022-11-23 01:30:04,385] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.4429204Z [2022-11-23 01:30:04,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.4429427Z [2022-11-23 01:30:04,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.4429684Z [2022-11-23 01:30:04,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.4429974Z [2022-11-23 01:30:04,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.4430325Z [2022-11-23 01:30:04,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.4430663Z [2022-11-23 01:30:04,385] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.4430758Z 4079 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.4430870Z 2 LOAD_METHOD 1 (avg_pool2d_backward) 2022-11-23T01:37:54.4430876Z 2022-11-23T01:37:54.4430963Z 4080 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.4430999Z 2022-11-23T01:37:54.4431090Z 4081 6 LOAD_FAST 1 (b) 2022-11-23T01:37:54.4431095Z 2022-11-23T01:37:54.4431185Z 4082 8 LOAD_CONST 1 (1) 2022-11-23T01:37:54.4431273Z 10 LOAD_CONST 1 (1) 2022-11-23T01:37:54.4431359Z 12 BUILD_LIST 2 2022-11-23T01:37:54.4431367Z 2022-11-23T01:37:54.4431441Z 4083 14 LOAD_CONST 2 (2) 2022-11-23T01:37:54.4431524Z 16 LOAD_CONST 2 (2) 2022-11-23T01:37:54.4431607Z 18 BUILD_LIST 2 2022-11-23T01:37:54.4431611Z 2022-11-23T01:37:54.4431695Z 4084 20 LOAD_CONST 3 (0) 2022-11-23T01:37:54.4431779Z 22 LOAD_CONST 3 (0) 2022-11-23T01:37:54.4431862Z 24 BUILD_LIST 2 2022-11-23T01:37:54.4431870Z 2022-11-23T01:37:54.4431960Z 4085 26 LOAD_CONST 4 (False) 2022-11-23T01:37:54.4431966Z 2022-11-23T01:37:54.4432056Z 4086 28 LOAD_CONST 4 (False) 2022-11-23T01:37:54.4432061Z 2022-11-23T01:37:54.4432138Z 4087 30 LOAD_CONST 0 (None) 2022-11-23T01:37:54.4432224Z 32 CALL_METHOD 8 2022-11-23T01:37:54.4432297Z 34 RETURN_VALUE 2022-11-23T01:37:54.4432356Z 2022-11-23T01:37:54.4432362Z 2022-11-23T01:37:54.4432636Z [2022-11-23 01:30:04,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4079 2022-11-23T01:37:54.4432857Z [2022-11-23 01:30:04,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.4433191Z [2022-11-23 01:30:04,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d_backward [TorchVariable()] 2022-11-23T01:37:54.4433458Z [2022-11-23 01:30:04,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4080 2022-11-23T01:37:54.4433734Z [2022-11-23 01:30:04,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.avg_pool2d_backward)] 2022-11-23T01:37:54.4433992Z [2022-11-23 01:30:04,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4081 2022-11-23T01:37:54.4434293Z [2022-11-23 01:30:04,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.avg_pool2d_backward), TensorVariable()] 2022-11-23T01:37:54.4434561Z [2022-11-23 01:30:04,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4082 2022-11-23T01:37:54.4434894Z [2022-11-23 01:30:04,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4435261Z [2022-11-23 01:30:04,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4435673Z [2022-11-23 01:30:04,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4435941Z [2022-11-23 01:30:04,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4083 2022-11-23T01:37:54.4436331Z [2022-11-23 01:30:04,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:37:54.4436726Z [2022-11-23 01:30:04,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4437162Z [2022-11-23 01:30:04,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4437463Z [2022-11-23 01:30:04,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4084 2022-11-23T01:37:54.4437842Z [2022-11-23 01:30:04,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:54.4438245Z [2022-11-23 01:30:04,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4438703Z [2022-11-23 01:30:04,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4438971Z [2022-11-23 01:30:04,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4085 2022-11-23T01:37:54.4439384Z [2022-11-23 01:30:04,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:54.4439651Z [2022-11-23 01:30:04,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4086 2022-11-23T01:37:54.4440111Z [2022-11-23 01:30:04,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:37:54.4440378Z [2022-11-23 01:30:04,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4087 2022-11-23T01:37:54.4440875Z [2022-11-23 01:30:04,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool)] 2022-11-23T01:37:54.4441418Z [2022-11-23 01:30:04,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(NoneType)] 2022-11-23T01:37:54.4441672Z [2022-11-23 01:30:04,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.4442006Z [2022-11-23 01:30:04,394] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.4442256Z [2022-11-23 01:30:04,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.4442500Z [2022-11-23 01:30:04,394] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.4442747Z [2022-11-23 01:30:04,395] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.4443004Z [2022-11-23 01:30:04,398] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.4443224Z [2022-11-23 01:30:04,399] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.4443363Z __compiled_fn_33 .212 opcode, name, target, args, kwargs 2022-11-23T01:37:54.4443455Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.4443543Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.4443720Z call_function, avg_pool2d_backward, aten.avg_pool2d_backward, (ex_0_, ex_1_, [1, 1], [2, 2], [0, 0], False, False, None), {} 2022-11-23T01:37:54.4443834Z output, output, output, ((avg_pool2d_backward,),), {} 2022-11-23T01:37:54.4443839Z 2022-11-23T01:37:54.4444120Z [2022-11-23 01:30:04,399] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4444234Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.4444326Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4444420Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.4444513Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.4444596Z 8 RETURN_VALUE 2022-11-23T01:37:54.4444601Z 2022-11-23T01:37:54.4444662Z 2022-11-23T01:37:54.4444939Z [2022-11-23 01:30:04,399] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4445037Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_33) 2022-11-23T01:37:54.4445129Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4445219Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4445297Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.4445385Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4445476Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.4445553Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.4445640Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.4445719Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.4445793Z 18 RETURN_VALUE 2022-11-23T01:37:54.4445798Z 2022-11-23T01:37:54.4445860Z 2022-11-23T01:37:54.4446050Z [2022-11-23 01:30:04,400] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.4446125Z - 2022-11-23T01:37:54.4446247Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.4446312Z { 2022-11-23T01:37:54.4446443Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.4446633Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.4446758Z 'obj_weakref': None 2022-11-23T01:37:54.4446989Z 'guarded_class': 2022-11-23T01:37:54.4447060Z } 2022-11-23T01:37:54.4447121Z 2022-11-23T01:37:54.4447194Z - 2022-11-23T01:37:54.4447308Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.4447371Z { 2022-11-23T01:37:54.4447515Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4447623Z 'code': None, 2022-11-23T01:37:54.4447839Z 'obj_weakref': 2022-11-23T01:37:54.4448098Z 'guarded_class': 2022-11-23T01:37:54.4448163Z } 2022-11-23T01:37:54.4448213Z 2022-11-23T01:37:54.4448282Z - 2022-11-23T01:37:54.4448409Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.4448471Z { 2022-11-23T01:37:54.4448615Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4448725Z 'code': None, 2022-11-23T01:37:54.4448940Z 'obj_weakref': 2022-11-23T01:37:54.4449183Z 'guarded_class': 2022-11-23T01:37:54.4449245Z } 2022-11-23T01:37:54.4449307Z 2022-11-23T01:37:54.4449376Z - 2022-11-23T01:37:54.4449536Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.4449601Z { 2022-11-23T01:37:54.4449738Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.4449897Z 'code': ['___check_obj_id(model, 140538741424928)'], 2022-11-23T01:37:54.4450018Z 'obj_weakref': None 2022-11-23T01:37:54.4450249Z 'guarded_class': 2022-11-23T01:37:54.4450313Z } 2022-11-23T01:37:54.4450373Z 2022-11-23T01:37:54.4450443Z - 2022-11-23T01:37:54.4450567Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.4450648Z { 2022-11-23T01:37:54.4450787Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.4451008Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.4451129Z 'obj_weakref': None 2022-11-23T01:37:54.4451354Z 'guarded_class': 2022-11-23T01:37:54.4451417Z } 2022-11-23T01:37:54.4451478Z 2022-11-23T01:37:54.4451535Z - 2022-11-23T01:37:54.4451666Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.4451729Z { 2022-11-23T01:37:54.4451850Z 'guard_types': None, 2022-11-23T01:37:54.4451959Z 'code': None, 2022-11-23T01:37:54.4452080Z 'obj_weakref': None 2022-11-23T01:37:54.4452204Z 'guarded_class': None 2022-11-23T01:37:54.4452255Z } 2022-11-23T01:37:54.4452317Z 2022-11-23T01:37:54.4452581Z [2022-11-23 01:30:04,405] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 32 2022-11-23T01:37:54.4452954Z [2022-11-23 01:30:05,833] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ix/cix4imbgbzazwo7ee2cjq3xbqi5phla3lj2yugyur2jjc73qx7lr.py 2022-11-23T01:37:54.4453220Z [2022-11-23 01:30:05,833] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 32 2022-11-23T01:37:54.4453226Z 2022-11-23T01:37:54.4453320Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.4453391Z import torch 2022-11-23T01:37:54.4453447Z import random 2022-11-23T01:37:54.4453560Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.4453679Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.4453684Z 2022-11-23T01:37:54.4453761Z aten = torch.ops.aten 2022-11-23T01:37:54.4453895Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.4453985Z async_compile = AsyncCompile() 2022-11-23T01:37:54.4453992Z 2022-11-23T01:37:54.4453997Z 2022-11-23T01:37:54.4454133Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.4454336Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.4454456Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.4454544Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.4454605Z { 2022-11-23T01:37:54.4454680Z #pragma GCC ivdep 2022-11-23T01:37:54.4454760Z for(long i0=0; i0<2016; i0+=1) 2022-11-23T01:37:54.4454819Z { 2022-11-23T01:37:54.4454895Z #pragma GCC ivdep 2022-11-23T01:37:54.4454965Z for(long i1=0; i1<21; i1+=1) 2022-11-23T01:37:54.4455027Z { 2022-11-23T01:37:54.4455104Z #pragma GCC ivdep 2022-11-23T01:37:54.4455189Z for(long i2=0; i2<21; i2+=1) 2022-11-23T01:37:54.4455250Z { 2022-11-23T01:37:54.4455312Z { 2022-11-23T01:37:54.4455377Z { 2022-11-23T01:37:54.4455481Z auto tmp0 = static_cast(((1 + i1) / 2)); 2022-11-23T01:37:54.4455590Z auto tmp1 = static_cast(((1 + i2) / 2)); 2022-11-23T01:37:54.4455699Z auto tmp2 = static_cast(1 + (i1 / 2)); 2022-11-23T01:37:54.4455806Z auto tmp3 = static_cast(1 + (i2 / 2)); 2022-11-23T01:37:54.4455936Z auto tmp4 = static_cast(0); 2022-11-23T01:37:54.4456052Z auto tmp5 = std::max(tmp0, tmp4); 2022-11-23T01:37:54.4456156Z auto tmp6 = std::max(tmp1, tmp4); 2022-11-23T01:37:54.4456258Z auto tmp7 = static_cast(11); 2022-11-23T01:37:54.4456351Z auto tmp8 = std::min(tmp2, tmp7); 2022-11-23T01:37:54.4456450Z auto tmp9 = std::min(tmp3, tmp7); 2022-11-23T01:37:54.4456544Z auto tmp10 = tmp5 + tmp4; 2022-11-23T01:37:54.4456634Z auto tmp11 = tmp6 + tmp4; 2022-11-23T01:37:54.4456783Z auto tmp12 = static_cast(1); 2022-11-23T01:37:54.4456929Z auto tmp13 = tmp8 - tmp12; 2022-11-23T01:37:54.4457039Z auto tmp14 = std::min(tmp10, tmp13); 2022-11-23T01:37:54.4457170Z auto tmp15 = tmp9 - tmp12; 2022-11-23T01:37:54.4457280Z auto tmp16 = std::min(tmp11, tmp15); 2022-11-23T01:37:54.4457395Z auto tmp17 = in_ptr0[tmp16 + (11*tmp14) + (121*i0)]; 2022-11-23T01:37:54.4457486Z auto tmp18 = tmp17 / 1; 2022-11-23T01:37:54.4457578Z auto tmp19 = tmp10 < tmp8; 2022-11-23T01:37:54.4457668Z auto tmp20 = tmp11 < tmp9; 2022-11-23T01:37:54.4457760Z auto tmp21 = tmp19 & tmp20; 2022-11-23T01:37:54.4457867Z auto tmp22 = static_cast(0.0); 2022-11-23T01:37:54.4457956Z auto tmp23 = tmp21 ? tmp18 : tmp22; 2022-11-23T01:37:54.4458060Z out_ptr0[i2 + (21*i1) + (441*i0)] = tmp23; 2022-11-23T01:37:54.4458125Z } 2022-11-23T01:37:54.4458188Z } 2022-11-23T01:37:54.4458251Z } 2022-11-23T01:37:54.4458313Z } 2022-11-23T01:37:54.4458374Z } 2022-11-23T01:37:54.4458420Z } 2022-11-23T01:37:54.4458503Z ''') 2022-11-23T01:37:54.4458509Z 2022-11-23T01:37:54.4458514Z 2022-11-23T01:37:54.4458603Z async_compile.wait(globals()) 2022-11-23T01:37:54.4458675Z del async_compile 2022-11-23T01:37:54.4458680Z 2022-11-23T01:37:54.4458977Z def call(args): 2022-11-23T01:37:54.4459089Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.4459165Z args.clear() 2022-11-23T01:37:54.4459385Z buf0 = empty_strided((1, 2016, 21, 21), (889056, 441, 21, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4459519Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.4459591Z del arg0_1 2022-11-23T01:37:54.4459662Z return (buf0, ) 2022-11-23T01:37:54.4459667Z 2022-11-23T01:37:54.4459671Z 2022-11-23T01:37:54.4459746Z if __name__ == "__main__": 2022-11-23T01:37:54.4459857Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.4459980Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.4460211Z arg0_1 = rand_strided((1, 2016, 11, 11), (243936, 121, 11, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4460422Z arg1_1 = rand_strided((1, 2016, 21, 21), (889056, 441, 21, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4460538Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.4460543Z 2022-11-23T01:37:54.4460608Z ok (1.506s) 2022-11-23T01:37:54.4460940Z test_avg_pool2d_backward4_cpu (__main__.CpuTests) ... [2022-11-23 01:30:05,876] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.4461214Z [2022-11-23 01:30:05,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.4461439Z [2022-11-23 01:30:05,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.4461695Z [2022-11-23 01:30:05,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.4462042Z [2022-11-23 01:30:05,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.4462371Z [2022-11-23 01:30:05,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.4462688Z [2022-11-23 01:30:05,877] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.4462783Z 4102 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.4462894Z 2 LOAD_METHOD 1 (avg_pool2d_backward) 2022-11-23T01:37:54.4462937Z 2022-11-23T01:37:54.4463030Z 4103 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.4463034Z 2022-11-23T01:37:54.4463123Z 4104 6 LOAD_FAST 1 (b) 2022-11-23T01:37:54.4463127Z 2022-11-23T01:37:54.4463220Z 4105 8 LOAD_CONST 1 (13) 2022-11-23T01:37:54.4463312Z 10 LOAD_CONST 1 (13) 2022-11-23T01:37:54.4463400Z 12 BUILD_LIST 2 2022-11-23T01:37:54.4463405Z 2022-11-23T01:37:54.4463494Z 4106 14 LOAD_CONST 2 (1) 2022-11-23T01:37:54.4463569Z 16 LOAD_CONST 2 (1) 2022-11-23T01:37:54.4463659Z 18 BUILD_LIST 2 2022-11-23T01:37:54.4463664Z 2022-11-23T01:37:54.4463750Z 4107 20 LOAD_CONST 3 (0) 2022-11-23T01:37:54.4463836Z 22 LOAD_CONST 3 (0) 2022-11-23T01:37:54.4463922Z 24 BUILD_LIST 2 2022-11-23T01:37:54.4463929Z 2022-11-23T01:37:54.4464021Z 4108 26 LOAD_CONST 4 (True) 2022-11-23T01:37:54.4464026Z 2022-11-23T01:37:54.4464116Z 4109 28 LOAD_CONST 5 (False) 2022-11-23T01:37:54.4464120Z 2022-11-23T01:37:54.4464211Z 4110 30 LOAD_CONST 0 (None) 2022-11-23T01:37:54.4464296Z 32 CALL_METHOD 8 2022-11-23T01:37:54.4464361Z 34 RETURN_VALUE 2022-11-23T01:37:54.4464421Z 2022-11-23T01:37:54.4464426Z 2022-11-23T01:37:54.4464699Z [2022-11-23 01:30:05,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4102 2022-11-23T01:37:54.4464920Z [2022-11-23 01:30:05,877] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.4465254Z [2022-11-23 01:30:05,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d_backward [TorchVariable()] 2022-11-23T01:37:54.4465525Z [2022-11-23 01:30:05,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4103 2022-11-23T01:37:54.4465802Z [2022-11-23 01:30:05,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.avg_pool2d_backward)] 2022-11-23T01:37:54.4466068Z [2022-11-23 01:30:05,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4104 2022-11-23T01:37:54.4466372Z [2022-11-23 01:30:05,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.avg_pool2d_backward), TensorVariable()] 2022-11-23T01:37:54.4466622Z [2022-11-23 01:30:05,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4105 2022-11-23T01:37:54.4466956Z [2022-11-23 01:30:05,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4467325Z [2022-11-23 01:30:05,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4467740Z [2022-11-23 01:30:05,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4468045Z [2022-11-23 01:30:05,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4106 2022-11-23T01:37:54.4468493Z [2022-11-23 01:30:05,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:37:54.4468888Z [2022-11-23 01:30:05,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4469322Z [2022-11-23 01:30:05,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4469635Z [2022-11-23 01:30:05,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4107 2022-11-23T01:37:54.4470015Z [2022-11-23 01:30:05,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:54.4470438Z [2022-11-23 01:30:05,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4470899Z [2022-11-23 01:30:05,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4471170Z [2022-11-23 01:30:05,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4108 2022-11-23T01:37:54.4471571Z [2022-11-23 01:30:05,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:54.4471839Z [2022-11-23 01:30:05,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4109 2022-11-23T01:37:54.4472292Z [2022-11-23 01:30:05,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:37:54.4472558Z [2022-11-23 01:30:05,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4110 2022-11-23T01:37:54.4473047Z [2022-11-23 01:30:05,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool)] 2022-11-23T01:37:54.4473590Z [2022-11-23 01:30:05,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(NoneType)] 2022-11-23T01:37:54.4473842Z [2022-11-23 01:30:05,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.4474172Z [2022-11-23 01:30:05,885] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.4474424Z [2022-11-23 01:30:05,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.4474663Z [2022-11-23 01:30:05,886] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.4474921Z [2022-11-23 01:30:05,887] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.4475203Z [2022-11-23 01:30:05,890] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.4475385Z [2022-11-23 01:30:05,890] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.4475519Z __compiled_fn_34 .218 opcode, name, target, args, kwargs 2022-11-23T01:37:54.4475608Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.4475693Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.4475870Z call_function, avg_pool2d_backward, aten.avg_pool2d_backward, (ex_0_, ex_1_, [13, 13], [1, 1], [0, 0], True, False, None), {} 2022-11-23T01:37:54.4475986Z output, output, output, ((avg_pool2d_backward,),), {} 2022-11-23T01:37:54.4476021Z 2022-11-23T01:37:54.4476302Z [2022-11-23 01:30:05,891] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4476395Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.4476474Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4476565Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.4476656Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.4476734Z 8 RETURN_VALUE 2022-11-23T01:37:54.4476739Z 2022-11-23T01:37:54.4476800Z 2022-11-23T01:37:54.4477075Z [2022-11-23 01:30:05,891] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4477182Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_34) 2022-11-23T01:37:54.4477272Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4477349Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4477424Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.4477513Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4477598Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.4477672Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.4477759Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.4477848Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.4477912Z 18 RETURN_VALUE 2022-11-23T01:37:54.4477917Z 2022-11-23T01:37:54.4477977Z 2022-11-23T01:37:54.4478161Z [2022-11-23 01:30:05,891] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.4478233Z - 2022-11-23T01:37:54.4478356Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.4478419Z { 2022-11-23T01:37:54.4478562Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.4478737Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.4478857Z 'obj_weakref': None 2022-11-23T01:37:54.4479081Z 'guarded_class': 2022-11-23T01:37:54.4479148Z } 2022-11-23T01:37:54.4479209Z 2022-11-23T01:37:54.4479279Z - 2022-11-23T01:37:54.4479405Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.4479454Z { 2022-11-23T01:37:54.4479598Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4479712Z 'code': None, 2022-11-23T01:37:54.4479929Z 'obj_weakref': 2022-11-23T01:37:54.4480185Z 'guarded_class': 2022-11-23T01:37:54.4480248Z } 2022-11-23T01:37:54.4480311Z 2022-11-23T01:37:54.4480368Z - 2022-11-23T01:37:54.4480495Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.4480557Z { 2022-11-23T01:37:54.4480701Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4480816Z 'code': None, 2022-11-23T01:37:54.4481026Z 'obj_weakref': 2022-11-23T01:37:54.4481283Z 'guarded_class': 2022-11-23T01:37:54.4481333Z } 2022-11-23T01:37:54.4481422Z 2022-11-23T01:37:54.4481495Z - 2022-11-23T01:37:54.4481629Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.4481689Z { 2022-11-23T01:37:54.4481823Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.4481993Z 'code': ['___check_obj_id(model, 140538741425072)'], 2022-11-23T01:37:54.4482102Z 'obj_weakref': None 2022-11-23T01:37:54.4482334Z 'guarded_class': 2022-11-23T01:37:54.4482398Z } 2022-11-23T01:37:54.4482460Z 2022-11-23T01:37:54.4482567Z - 2022-11-23T01:37:54.4482689Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.4482751Z { 2022-11-23T01:37:54.4482875Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.4483092Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.4483212Z 'obj_weakref': None 2022-11-23T01:37:54.4483436Z 'guarded_class': 2022-11-23T01:37:54.4483498Z } 2022-11-23T01:37:54.4483561Z 2022-11-23T01:37:54.4483632Z - 2022-11-23T01:37:54.4483754Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.4483819Z { 2022-11-23T01:37:54.4483942Z 'guard_types': None, 2022-11-23T01:37:54.4484056Z 'code': None, 2022-11-23T01:37:54.4484177Z 'obj_weakref': None 2022-11-23T01:37:54.4484301Z 'guarded_class': None 2022-11-23T01:37:54.4484367Z } 2022-11-23T01:37:54.4484416Z 2022-11-23T01:37:54.4484679Z [2022-11-23 01:30:05,897] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 33 2022-11-23T01:37:54.4484927Z [2022-11-23 01:30:05,900] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.avg_pool2d_backward 2022-11-23T01:37:54.4485296Z [2022-11-23 01:30:05,903] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/37/c37phnzohstu2bnctx63h2ybszr3lpto2zu2sicmt5a64t35h3aw.py 2022-11-23T01:37:54.4485564Z [2022-11-23 01:30:05,903] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 33 2022-11-23T01:37:54.4485570Z 2022-11-23T01:37:54.4485664Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.4485736Z import torch 2022-11-23T01:37:54.4485805Z import random 2022-11-23T01:37:54.4485906Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.4486027Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.4486035Z 2022-11-23T01:37:54.4486116Z aten = torch.ops.aten 2022-11-23T01:37:54.4486252Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.4486344Z async_compile = AsyncCompile() 2022-11-23T01:37:54.4486349Z 2022-11-23T01:37:54.4486353Z 2022-11-23T01:37:54.4486440Z async_compile.wait(globals()) 2022-11-23T01:37:54.4486514Z del async_compile 2022-11-23T01:37:54.4486521Z 2022-11-23T01:37:54.4486593Z def call(args): 2022-11-23T01:37:54.4486654Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.4486726Z args.clear() 2022-11-23T01:37:54.4486872Z buf0 = aten.avg_pool2d_backward(arg0_1, arg1_1, [13, 13], [1, 1], [0, 0], True, False, None) 2022-11-23T01:37:54.4486941Z del arg0_1 2022-11-23T01:37:54.4487009Z del arg1_1 2022-11-23T01:37:54.4487076Z buf1 = buf0 2022-11-23T01:37:54.4487185Z assert_size_stride(buf1, (1, 16, 24, 24), (9216, 576, 24, 1)) 2022-11-23T01:37:54.4487237Z del buf0 2022-11-23T01:37:54.4487309Z return (buf1, ) 2022-11-23T01:37:54.4487316Z 2022-11-23T01:37:54.4487320Z 2022-11-23T01:37:54.4487400Z if __name__ == "__main__": 2022-11-23T01:37:54.4487513Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.4487636Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.4487862Z arg0_1 = rand_strided((1, 16, 12, 12), (2304, 144, 12, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4488117Z arg1_1 = rand_strided((1, 16, 24, 24), (9216, 576, 24, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4488235Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.4488240Z 2022-11-23T01:37:54.4488294Z ok (0.034s) 2022-11-23T01:37:54.4488625Z test_avg_pool2d_backward_cpu (__main__.CpuTests) ... [2022-11-23 01:30:05,908] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.4488902Z [2022-11-23 01:30:05,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.4489164Z [2022-11-23 01:30:05,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.4489423Z [2022-11-23 01:30:05,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.4489720Z [2022-11-23 01:30:05,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.4490052Z [2022-11-23 01:30:05,908] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.4490386Z [2022-11-23 01:30:05,908] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.4490486Z 4037 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.4490585Z 2 LOAD_METHOD 1 (avg_pool2d_backward) 2022-11-23T01:37:54.4490603Z 2022-11-23T01:37:54.4490683Z 4038 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.4490690Z 2022-11-23T01:37:54.4490779Z 4039 6 LOAD_FAST 1 (b) 2022-11-23T01:37:54.4490784Z 2022-11-23T01:37:54.4490874Z 4040 8 LOAD_CONST 1 (2) 2022-11-23T01:37:54.4490960Z 10 LOAD_CONST 1 (2) 2022-11-23T01:37:54.4491047Z 12 BUILD_LIST 2 2022-11-23T01:37:54.4491054Z 2022-11-23T01:37:54.4491139Z 4041 14 LOAD_CONST 1 (2) 2022-11-23T01:37:54.4491224Z 16 LOAD_CONST 1 (2) 2022-11-23T01:37:54.4491308Z 18 BUILD_LIST 2 2022-11-23T01:37:54.4491314Z 2022-11-23T01:37:54.4491385Z 4042 20 LOAD_CONST 2 (0) 2022-11-23T01:37:54.4491472Z 22 LOAD_CONST 2 (0) 2022-11-23T01:37:54.4491555Z 24 BUILD_LIST 2 2022-11-23T01:37:54.4491560Z 2022-11-23T01:37:54.4491650Z 4043 26 LOAD_CONST 3 (True) 2022-11-23T01:37:54.4491657Z 2022-11-23T01:37:54.4491747Z 4044 28 LOAD_CONST 4 (False) 2022-11-23T01:37:54.4491752Z 2022-11-23T01:37:54.4491840Z 4045 30 LOAD_CONST 0 (None) 2022-11-23T01:37:54.4491927Z 32 CALL_METHOD 8 2022-11-23T01:37:54.4492003Z 34 RETURN_VALUE 2022-11-23T01:37:54.4492050Z 2022-11-23T01:37:54.4492057Z 2022-11-23T01:37:54.4492329Z [2022-11-23 01:30:05,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4037 2022-11-23T01:37:54.4492549Z [2022-11-23 01:30:05,909] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.4492882Z [2022-11-23 01:30:05,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR avg_pool2d_backward [TorchVariable()] 2022-11-23T01:37:54.4493153Z [2022-11-23 01:30:05,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4038 2022-11-23T01:37:54.4493431Z [2022-11-23 01:30:05,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.avg_pool2d_backward)] 2022-11-23T01:37:54.4493699Z [2022-11-23 01:30:05,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4039 2022-11-23T01:37:54.4494034Z [2022-11-23 01:30:05,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.avg_pool2d_backward), TensorVariable()] 2022-11-23T01:37:54.4494299Z [2022-11-23 01:30:05,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4040 2022-11-23T01:37:54.4494635Z [2022-11-23 01:30:05,914] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4494989Z [2022-11-23 01:30:05,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4495430Z [2022-11-23 01:30:05,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4495700Z [2022-11-23 01:30:05,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4041 2022-11-23T01:37:54.4496054Z [2022-11-23 01:30:05,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:37:54.4496443Z [2022-11-23 01:30:05,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4496880Z [2022-11-23 01:30:05,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4497149Z [2022-11-23 01:30:05,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4042 2022-11-23T01:37:54.4497529Z [2022-11-23 01:30:05,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:54.4497946Z [2022-11-23 01:30:05,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4498402Z [2022-11-23 01:30:05,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4498673Z [2022-11-23 01:30:05,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4043 2022-11-23T01:37:54.4499319Z [2022-11-23 01:30:05,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:54.4499592Z [2022-11-23 01:30:05,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4044 2022-11-23T01:37:54.4500050Z [2022-11-23 01:30:05,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:37:54.4500301Z [2022-11-23 01:30:05,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4045 2022-11-23T01:37:54.4500794Z [2022-11-23 01:30:05,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool)] 2022-11-23T01:37:54.4501385Z [2022-11-23 01:30:05,915] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.avg_pool2d_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(NoneType)] 2022-11-23T01:37:54.4501644Z [2022-11-23 01:30:05,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.4501978Z [2022-11-23 01:30:05,916] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.4502228Z [2022-11-23 01:30:05,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.4502465Z [2022-11-23 01:30:05,916] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.4502779Z [2022-11-23 01:30:05,917] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.4503034Z [2022-11-23 01:30:05,922] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.4503232Z [2022-11-23 01:30:05,922] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.4503370Z __compiled_fn_35 .224 opcode, name, target, args, kwargs 2022-11-23T01:37:54.4503446Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.4503533Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.4503708Z call_function, avg_pool2d_backward, aten.avg_pool2d_backward, (ex_0_, ex_1_, [2, 2], [2, 2], [0, 0], True, False, None), {} 2022-11-23T01:37:54.4503824Z output, output, output, ((avg_pool2d_backward,),), {} 2022-11-23T01:37:54.4503831Z 2022-11-23T01:37:54.4504111Z [2022-11-23 01:30:05,923] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4504206Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.4504300Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4504392Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.4504470Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.4504545Z 8 RETURN_VALUE 2022-11-23T01:37:54.4504550Z 2022-11-23T01:37:54.4504611Z 2022-11-23T01:37:54.4504888Z [2022-11-23 01:30:05,923] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4504995Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_35) 2022-11-23T01:37:54.4505084Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4505171Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4505234Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.4505319Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4505411Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.4505483Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.4505570Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.4505660Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.4505733Z 18 RETURN_VALUE 2022-11-23T01:37:54.4505738Z 2022-11-23T01:37:54.4505785Z 2022-11-23T01:37:54.4505971Z [2022-11-23 01:30:05,923] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.4506041Z - 2022-11-23T01:37:54.4506162Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.4506226Z { 2022-11-23T01:37:54.4506369Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.4506556Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.4506665Z 'obj_weakref': None 2022-11-23T01:37:54.4506889Z 'guarded_class': 2022-11-23T01:37:54.4506956Z } 2022-11-23T01:37:54.4507018Z 2022-11-23T01:37:54.4507089Z - 2022-11-23T01:37:54.4507215Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.4507277Z { 2022-11-23T01:37:54.4507408Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4507515Z 'code': None, 2022-11-23T01:37:54.4507756Z 'obj_weakref': 2022-11-23T01:37:54.4508015Z 'guarded_class': 2022-11-23T01:37:54.4508078Z } 2022-11-23T01:37:54.4508229Z 2022-11-23T01:37:54.4508307Z - 2022-11-23T01:37:54.4508420Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.4508483Z { 2022-11-23T01:37:54.4508629Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4508738Z 'code': None, 2022-11-23T01:37:54.4509024Z 'obj_weakref': 2022-11-23T01:37:54.4509279Z 'guarded_class': 2022-11-23T01:37:54.4509342Z } 2022-11-23T01:37:54.4509403Z 2022-11-23T01:37:54.4509462Z - 2022-11-23T01:37:54.4509596Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.4509660Z { 2022-11-23T01:37:54.4509934Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.4510107Z 'code': ['___check_obj_id(model, 140538731015488)'], 2022-11-23T01:37:54.4510230Z 'obj_weakref': None 2022-11-23T01:37:54.4510454Z 'guarded_class': 2022-11-23T01:37:54.4510517Z } 2022-11-23T01:37:54.4510579Z 2022-11-23T01:37:54.4510653Z - 2022-11-23T01:37:54.4510777Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.4510841Z { 2022-11-23T01:37:54.4510980Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.4511190Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.4511312Z 'obj_weakref': None 2022-11-23T01:37:54.4511537Z 'guarded_class': 2022-11-23T01:37:54.4511601Z } 2022-11-23T01:37:54.4511662Z 2022-11-23T01:37:54.4511731Z - 2022-11-23T01:37:54.4511865Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.4511914Z { 2022-11-23T01:37:54.4512037Z 'guard_types': None, 2022-11-23T01:37:54.4512146Z 'code': None, 2022-11-23T01:37:54.4512264Z 'obj_weakref': None 2022-11-23T01:37:54.4512387Z 'guarded_class': None 2022-11-23T01:37:54.4512449Z } 2022-11-23T01:37:54.4512509Z 2022-11-23T01:37:54.4512762Z [2022-11-23 01:30:05,928] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 34 2022-11-23T01:37:54.4513131Z [2022-11-23 01:30:07,340] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tw/ctwwp3l2twhkhcxzbnzp5yunv6g6ty6jrp5cekxzf2aj2gjyffdg.py 2022-11-23T01:37:54.4513396Z [2022-11-23 01:30:07,341] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 34 2022-11-23T01:37:54.4513403Z 2022-11-23T01:37:54.4513497Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.4513568Z import torch 2022-11-23T01:37:54.4513636Z import random 2022-11-23T01:37:54.4513750Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.4513870Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.4513875Z 2022-11-23T01:37:54.4513941Z aten = torch.ops.aten 2022-11-23T01:37:54.4514071Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.4514163Z async_compile = AsyncCompile() 2022-11-23T01:37:54.4514169Z 2022-11-23T01:37:54.4514174Z 2022-11-23T01:37:54.4514311Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.4514516Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.4514637Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.4514769Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.4514833Z { 2022-11-23T01:37:54.4514898Z #pragma GCC ivdep 2022-11-23T01:37:54.4514977Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:54.4515040Z { 2022-11-23T01:37:54.4515117Z #pragma GCC ivdep 2022-11-23T01:37:54.4515198Z for(long i1=0; i1<14; i1+=1) 2022-11-23T01:37:54.4515259Z { 2022-11-23T01:37:54.4515336Z #pragma GCC ivdep 2022-11-23T01:37:54.4515409Z for(long i2=0; i2<14; i2+=1) 2022-11-23T01:37:54.4515471Z { 2022-11-23T01:37:54.4515534Z { 2022-11-23T01:37:54.4515597Z { 2022-11-23T01:37:54.4515735Z auto tmp0 = static_cast((i1 / 2)); 2022-11-23T01:37:54.4515841Z auto tmp1 = static_cast((i2 / 2)); 2022-11-23T01:37:54.4515949Z auto tmp2 = static_cast(1 + (i1 / 2)); 2022-11-23T01:37:54.4516044Z auto tmp3 = static_cast(1 + (i2 / 2)); 2022-11-23T01:37:54.4516153Z auto tmp4 = static_cast(0); 2022-11-23T01:37:54.4516269Z auto tmp5 = std::max(tmp0, tmp4); 2022-11-23T01:37:54.4516374Z auto tmp6 = std::max(tmp1, tmp4); 2022-11-23T01:37:54.4516477Z auto tmp7 = static_cast(7); 2022-11-23T01:37:54.4516581Z auto tmp8 = std::min(tmp2, tmp7); 2022-11-23T01:37:54.4516684Z auto tmp9 = std::min(tmp3, tmp7); 2022-11-23T01:37:54.4516777Z auto tmp10 = tmp5 + tmp4; 2022-11-23T01:37:54.4516857Z auto tmp11 = tmp6 + tmp4; 2022-11-23T01:37:54.4516958Z auto tmp12 = static_cast(1); 2022-11-23T01:37:54.4517105Z auto tmp13 = tmp8 - tmp12; 2022-11-23T01:37:54.4517212Z auto tmp14 = std::min(tmp10, tmp13); 2022-11-23T01:37:54.4517357Z auto tmp15 = tmp9 - tmp12; 2022-11-23T01:37:54.4517470Z auto tmp16 = std::min(tmp11, tmp15); 2022-11-23T01:37:54.4517588Z auto tmp17 = in_ptr0[tmp16 + (7*tmp14) + (49*i0)]; 2022-11-23T01:37:54.4517669Z auto tmp18 = tmp17 / 4; 2022-11-23T01:37:54.4517760Z auto tmp19 = tmp10 < tmp8; 2022-11-23T01:37:54.4517850Z auto tmp20 = tmp11 < tmp9; 2022-11-23T01:37:54.4517944Z auto tmp21 = tmp19 & tmp20; 2022-11-23T01:37:54.4518052Z auto tmp22 = static_cast(0.0); 2022-11-23T01:37:54.4518153Z auto tmp23 = tmp21 ? tmp18 : tmp22; 2022-11-23T01:37:54.4518258Z out_ptr0[i2 + (14*i1) + (196*i0)] = tmp23; 2022-11-23T01:37:54.4518323Z } 2022-11-23T01:37:54.4518375Z } 2022-11-23T01:37:54.4518437Z } 2022-11-23T01:37:54.4518499Z } 2022-11-23T01:37:54.4518561Z } 2022-11-23T01:37:54.4518621Z } 2022-11-23T01:37:54.4518706Z ''') 2022-11-23T01:37:54.4518712Z 2022-11-23T01:37:54.4518716Z 2022-11-23T01:37:54.4518793Z async_compile.wait(globals()) 2022-11-23T01:37:54.4518863Z del async_compile 2022-11-23T01:37:54.4518868Z 2022-11-23T01:37:54.4518939Z def call(args): 2022-11-23T01:37:54.4519013Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.4519082Z args.clear() 2022-11-23T01:37:54.4519302Z buf0 = empty_strided((2, 4, 14, 14), (784, 196, 14, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4519439Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.4519506Z del arg0_1 2022-11-23T01:37:54.4519566Z return (buf0, ) 2022-11-23T01:37:54.4519570Z 2022-11-23T01:37:54.4519574Z 2022-11-23T01:37:54.4519647Z if __name__ == "__main__": 2022-11-23T01:37:54.4519759Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.4519879Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.4520128Z arg0_1 = rand_strided((2, 4, 7, 7), (196, 49, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4520354Z arg1_1 = rand_strided((2, 4, 14, 14), (784, 196, 14, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4520466Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.4520472Z 2022-11-23T01:37:54.4520537Z ok (1.439s) 2022-11-23T01:37:54.4520834Z test_baddbmm_cpu (__main__.CpuTests) ... [2022-11-23 01:30:07,352] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.4521108Z [2022-11-23 01:30:07,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.4521364Z [2022-11-23 01:30:07,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.4521620Z [2022-11-23 01:30:07,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.4521912Z [2022-11-23 01:30:07,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.4522237Z [2022-11-23 01:30:07,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.4522571Z [2022-11-23 01:30:07,353] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.4522667Z 3410 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.4522761Z 2 LOAD_METHOD 1 (baddbmm) 2022-11-23T01:37:54.4522841Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.4522930Z 6 LOAD_FAST 1 (b) 2022-11-23T01:37:54.4523015Z 8 LOAD_FAST 2 (c) 2022-11-23T01:37:54.4523107Z 10 CALL_METHOD 3 2022-11-23T01:37:54.4523183Z 12 RETURN_VALUE 2022-11-23T01:37:54.4523242Z 2022-11-23T01:37:54.4523247Z 2022-11-23T01:37:54.4523522Z [2022-11-23 01:30:07,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3410 2022-11-23T01:37:54.4523741Z [2022-11-23 01:30:07,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.4524044Z [2022-11-23 01:30:07,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR baddbmm [TorchVariable()] 2022-11-23T01:37:54.4524300Z [2022-11-23 01:30:07,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.baddbmm)] 2022-11-23T01:37:54.4524586Z [2022-11-23 01:30:07,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.baddbmm), TensorVariable()] 2022-11-23T01:37:54.4524903Z [2022-11-23 01:30:07,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.baddbmm), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4525251Z [2022-11-23 01:30:07,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.baddbmm), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4525499Z [2022-11-23 01:30:07,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.4525830Z [2022-11-23 01:30:07,361] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.4526079Z [2022-11-23 01:30:07,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.4526314Z [2022-11-23 01:30:07,361] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.4526574Z [2022-11-23 01:30:07,362] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.4526814Z [2022-11-23 01:30:07,365] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.4527036Z [2022-11-23 01:30:07,365] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.4527171Z __compiled_fn_36 .230 opcode, name, target, args, kwargs 2022-11-23T01:37:54.4527259Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.4527349Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.4527431Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:37:54.4527556Z call_function, baddbmm, aten.baddbmm, (ex_0_, ex_1_, ex_2_), {} 2022-11-23T01:37:54.4527654Z output, output, output, ((baddbmm,),), {} 2022-11-23T01:37:54.4527660Z 2022-11-23T01:37:54.4527925Z [2022-11-23 01:30:07,366] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4528049Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.4528141Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4528233Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.4528324Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.4528403Z 8 RETURN_VALUE 2022-11-23T01:37:54.4528408Z 2022-11-23T01:37:54.4528470Z 2022-11-23T01:37:54.4528733Z [2022-11-23 01:30:07,366] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4528844Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_36) 2022-11-23T01:37:54.4528933Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4529022Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4529099Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.4529189Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4529282Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.4529358Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.4529433Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4529520Z 16 LOAD_CONST 3 (2) 2022-11-23T01:37:54.4529595Z 18 BINARY_SUBSCR 2022-11-23T01:37:54.4529686Z 20 CALL_FUNCTION 3 2022-11-23T01:37:54.4529777Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.4529854Z 24 RETURN_VALUE 2022-11-23T01:37:54.4529859Z 2022-11-23T01:37:54.4529917Z 2022-11-23T01:37:54.4530089Z [2022-11-23 01:30:07,367] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.4530162Z - 2022-11-23T01:37:54.4530282Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.4530347Z { 2022-11-23T01:37:54.4530493Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.4530688Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 3'], 2022-11-23T01:37:54.4530814Z 'obj_weakref': None 2022-11-23T01:37:54.4531030Z 'guarded_class': 2022-11-23T01:37:54.4531096Z } 2022-11-23T01:37:54.4531162Z 2022-11-23T01:37:54.4531237Z - 2022-11-23T01:37:54.4531366Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.4531431Z { 2022-11-23T01:37:54.4531580Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4531678Z 'code': None, 2022-11-23T01:37:54.4531893Z 'obj_weakref': 2022-11-23T01:37:54.4532151Z 'guarded_class': 2022-11-23T01:37:54.4532217Z } 2022-11-23T01:37:54.4532280Z 2022-11-23T01:37:54.4532352Z - 2022-11-23T01:37:54.4532480Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.4532534Z { 2022-11-23T01:37:54.4532680Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4532788Z 'code': None, 2022-11-23T01:37:54.4533003Z 'obj_weakref': 2022-11-23T01:37:54.4533292Z 'guarded_class': 2022-11-23T01:37:54.4533359Z } 2022-11-23T01:37:54.4533418Z 2022-11-23T01:37:54.4533477Z - 2022-11-23T01:37:54.4533604Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:37:54.4533669Z { 2022-11-23T01:37:54.4533815Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4533925Z 'code': None, 2022-11-23T01:37:54.4534143Z 'obj_weakref': 2022-11-23T01:37:54.4534400Z 'guarded_class': 2022-11-23T01:37:54.4534480Z } 2022-11-23T01:37:54.4534544Z 2022-11-23T01:37:54.4534615Z - 2022-11-23T01:37:54.4534748Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.4534810Z { 2022-11-23T01:37:54.4534943Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.4535118Z 'code': ['___check_obj_id(model, 140538741427952)'], 2022-11-23T01:37:54.4535229Z 'obj_weakref': None 2022-11-23T01:37:54.4535461Z 'guarded_class': 2022-11-23T01:37:54.4535523Z } 2022-11-23T01:37:54.4535583Z 2022-11-23T01:37:54.4535656Z - 2022-11-23T01:37:54.4535777Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.4535839Z { 2022-11-23T01:37:54.4535965Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.4536183Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.4536306Z 'obj_weakref': None 2022-11-23T01:37:54.4536527Z 'guarded_class': 2022-11-23T01:37:54.4536591Z } 2022-11-23T01:37:54.4536651Z 2022-11-23T01:37:54.4536721Z - 2022-11-23T01:37:54.4536842Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.4536904Z { 2022-11-23T01:37:54.4537025Z 'guard_types': None, 2022-11-23T01:37:54.4537133Z 'code': None, 2022-11-23T01:37:54.4537251Z 'obj_weakref': None 2022-11-23T01:37:54.4537372Z 'guarded_class': None 2022-11-23T01:37:54.4537433Z } 2022-11-23T01:37:54.4537483Z 2022-11-23T01:37:54.4537742Z [2022-11-23 01:30:07,374] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 35 2022-11-23T01:37:54.4538124Z [2022-11-23 01:30:08,913] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ps/cpspappcykorgzwa2i5fze4rqma6ofhx3qrmkreebmad2zarsudx.py 2022-11-23T01:37:54.4538392Z [2022-11-23 01:30:08,913] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 35 2022-11-23T01:37:54.4538399Z 2022-11-23T01:37:54.4538490Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.4538561Z import torch 2022-11-23T01:37:54.4538628Z import random 2022-11-23T01:37:54.4538887Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.4539058Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.4539066Z 2022-11-23T01:37:54.4539150Z aten = torch.ops.aten 2022-11-23T01:37:54.4539285Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.4539377Z async_compile = AsyncCompile() 2022-11-23T01:37:54.4539383Z 2022-11-23T01:37:54.4539387Z 2022-11-23T01:37:54.4539527Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.4539731Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.4539852Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:37:54.4539958Z const float* __restrict__ in_ptr0) 2022-11-23T01:37:54.4540005Z { 2022-11-23T01:37:54.4540082Z #pragma GCC ivdep 2022-11-23T01:37:54.4540160Z for(long i0=0; i0<6; i0+=1) 2022-11-23T01:37:54.4540289Z { 2022-11-23T01:37:54.4540370Z #pragma GCC ivdep 2022-11-23T01:37:54.4540454Z for(long i1=0; i1<128; i1+=1) 2022-11-23T01:37:54.4540505Z { 2022-11-23T01:37:54.4540590Z for(long i2=0; i2<12; i2+=1) 2022-11-23T01:37:54.4540652Z { 2022-11-23T01:37:54.4540801Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i2) + (100*i0)); 2022-11-23T01:37:54.4540955Z auto tmp1 = at::vec::Vectorized::loadu(in_out_ptr0 + (8*i2) + (100*i1) + (12800*i0)); 2022-11-23T01:37:54.4541042Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.4541195Z tmp2.store(in_out_ptr0 + (8*i2) + (100*i1) + (12800*i0)); 2022-11-23T01:37:54.4541258Z } 2022-11-23T01:37:54.4541338Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.4541423Z for(long i2=96; i2<100; i2+=1) 2022-11-23T01:37:54.4541486Z { 2022-11-23T01:37:54.4541582Z auto tmp0 = in_ptr0[i2 + (100*i0)]; 2022-11-23T01:37:54.4541690Z auto tmp1 = in_out_ptr0[i2 + (100*i1) + (12800*i0)]; 2022-11-23T01:37:54.4541775Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.4541877Z in_out_ptr0[i2 + (100*i1) + (12800*i0)] = tmp2; 2022-11-23T01:37:54.4541928Z } 2022-11-23T01:37:54.4541990Z } 2022-11-23T01:37:54.4542051Z } 2022-11-23T01:37:54.4542111Z } 2022-11-23T01:37:54.4542192Z ''') 2022-11-23T01:37:54.4542197Z 2022-11-23T01:37:54.4542201Z 2022-11-23T01:37:54.4542290Z async_compile.wait(globals()) 2022-11-23T01:37:54.4542360Z del async_compile 2022-11-23T01:37:54.4542367Z 2022-11-23T01:37:54.4542425Z def call(args): 2022-11-23T01:37:54.4542509Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:54.4542578Z args.clear() 2022-11-23T01:37:54.4542797Z buf0 = empty_strided((6, 128, 100), (12800, 100, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4542892Z aten.bmm.out(arg1_1, arg2_1, out=buf0) 2022-11-23T01:37:54.4542963Z del arg1_1 2022-11-23T01:37:54.4543032Z del arg2_1 2022-11-23T01:37:54.4543104Z buf1 = buf0; del buf0 # reuse 2022-11-23T01:37:54.4543234Z kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg0_1.data_ptr())) 2022-11-23T01:37:54.4543301Z del arg0_1 2022-11-23T01:37:54.4543373Z return (buf1, ) 2022-11-23T01:37:54.4543378Z 2022-11-23T01:37:54.4543382Z 2022-11-23T01:37:54.4543456Z if __name__ == "__main__": 2022-11-23T01:37:54.4543568Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.4543693Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.4543909Z arg0_1 = rand_strided((6, 1, 100), (100, 100, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4544111Z arg1_1 = rand_strided((6, 128, 64), (8192, 64, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4544324Z arg2_1 = rand_strided((6, 64, 100), (6400, 100, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4544447Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:54.4544452Z 2022-11-23T01:37:54.4544520Z ok (1.575s) 2022-11-23T01:37:54.4544835Z test_batch_norm_2d_cpu (__main__.CpuTests) ... [2022-11-23 01:30:08,924] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.4545109Z [2022-11-23 01:30:08,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.4545330Z [2022-11-23 01:30:08,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.4545576Z [2022-11-23 01:30:08,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.4545859Z [2022-11-23 01:30:08,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.4546164Z [2022-11-23 01:30:08,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.4546441Z [2022-11-23 01:30:08,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.4546681Z [2022-11-23 01:30:08,940] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.4546935Z [2022-11-23 01:30:08,941] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.4547187Z [2022-11-23 01:30:08,953] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.4547379Z [2022-11-23 01:30:08,954] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.4547556Z __compiled_fn_37 .236 opcode, name, target, args, kwargs 2022-11-23T01:37:54.4547644Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.4547741Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.4547831Z call_module, model_1, model_1, (model_0,), {} 2022-11-23T01:37:54.4547929Z output, output, output, ((model_1,),), {} 2022-11-23T01:37:54.4547935Z 2022-11-23T01:37:54.4548295Z [2022-11-23 01:30:08,954] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4548392Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.4548482Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4548572Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.4548663Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.4548725Z 8 RETURN_VALUE 2022-11-23T01:37:54.4548743Z 2022-11-23T01:37:54.4548793Z 2022-11-23T01:37:54.4549076Z [2022-11-23 01:30:08,954] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4549183Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_37) 2022-11-23T01:37:54.4549275Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4549363Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4549440Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.4549528Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.4549605Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.4549682Z 12 RETURN_VALUE 2022-11-23T01:37:54.4549688Z 2022-11-23T01:37:54.4549745Z 2022-11-23T01:37:54.4549930Z [2022-11-23 01:30:08,955] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.4550002Z - 2022-11-23T01:37:54.4550125Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.4550189Z { 2022-11-23T01:37:54.4550318Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.4550508Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.4550630Z 'obj_weakref': None 2022-11-23T01:37:54.4550856Z 'guarded_class': 2022-11-23T01:37:54.4550921Z } 2022-11-23T01:37:54.4550985Z 2022-11-23T01:37:54.4551056Z - 2022-11-23T01:37:54.4551170Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.4551231Z { 2022-11-23T01:37:54.4551374Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4551482Z 'code': None, 2022-11-23T01:37:54.4551696Z 'obj_weakref': 2022-11-23T01:37:54.4551953Z 'guarded_class': 2022-11-23T01:37:54.4552016Z } 2022-11-23T01:37:54.4552069Z 2022-11-23T01:37:54.4552138Z - 2022-11-23T01:37:54.4552258Z local 'model' NN_MODULE 2022-11-23T01:37:54.4552319Z { 2022-11-23T01:37:54.4552456Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.4552628Z 'code': ['___check_obj_id(model, 140538737437072)'], 2022-11-23T01:37:54.4552889Z 'obj_weakref': 2022-11-23T01:37:54.4553121Z 'guarded_class': 2022-11-23T01:37:54.4553185Z } 2022-11-23T01:37:54.4553247Z 2022-11-23T01:37:54.4553318Z - 2022-11-23T01:37:54.4553441Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.4553503Z { 2022-11-23T01:37:54.4553640Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.4553849Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.4554001Z 'obj_weakref': None 2022-11-23T01:37:54.4554220Z 'guarded_class': 2022-11-23T01:37:54.4554283Z } 2022-11-23T01:37:54.4554342Z 2022-11-23T01:37:54.4554410Z - 2022-11-23T01:37:54.4554557Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.4554610Z { 2022-11-23T01:37:54.4554731Z 'guard_types': None, 2022-11-23T01:37:54.4554839Z 'code': None, 2022-11-23T01:37:54.4554957Z 'obj_weakref': None 2022-11-23T01:37:54.4555079Z 'guarded_class': None 2022-11-23T01:37:54.4555141Z } 2022-11-23T01:37:54.4555202Z 2022-11-23T01:37:54.4555258Z - 2022-11-23T01:37:54.4555403Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.4555465Z { 2022-11-23T01:37:54.4555586Z 'guard_types': None, 2022-11-23T01:37:54.4555693Z 'code': None, 2022-11-23T01:37:54.4555815Z 'obj_weakref': None 2022-11-23T01:37:54.4555938Z 'guarded_class': None 2022-11-23T01:37:54.4555989Z } 2022-11-23T01:37:54.4556052Z 2022-11-23T01:37:54.4556312Z [2022-11-23 01:30:09,043] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 36 2022-11-23T01:37:54.4556684Z [2022-11-23 01:30:10,470] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kl/cklbtxzfqoqjm467hxnmoww7p5ox2x6qy6f4ngddvsciyadcbfyz.py 2022-11-23T01:37:54.4556951Z [2022-11-23 01:30:10,470] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 36 2022-11-23T01:37:54.4557189Z [2022-11-23 01:30:10,476] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.4557461Z [2022-11-23 01:30:10,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.4557681Z [2022-11-23 01:30:10,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.4557916Z [2022-11-23 01:30:10,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.4558193Z [2022-11-23 01:30:10,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.4558511Z [2022-11-23 01:30:10,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.4558760Z [2022-11-23 01:30:10,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.4558995Z [2022-11-23 01:30:10,491] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.4559251Z [2022-11-23 01:30:10,492] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.4559502Z [2022-11-23 01:30:10,505] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.4559696Z [2022-11-23 01:30:10,505] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.4559831Z __compiled_fn_38 .247 opcode, name, target, args, kwargs 2022-11-23T01:37:54.4559907Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.4560031Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.4560135Z call_module, model_1, model_1, (model_0,), {} 2022-11-23T01:37:54.4560233Z output, output, output, ((model_1,),), {} 2022-11-23T01:37:54.4560238Z 2022-11-23T01:37:54.4560517Z [2022-11-23 01:30:10,505] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4560609Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.4560698Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4560788Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.4560866Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.4560971Z 8 RETURN_VALUE 2022-11-23T01:37:54.4560976Z 2022-11-23T01:37:54.4561036Z 2022-11-23T01:37:54.4561314Z [2022-11-23 01:30:10,506] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4561420Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_38) 2022-11-23T01:37:54.4561509Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4561595Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4561658Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.4561744Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.4561832Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.4561906Z 12 RETURN_VALUE 2022-11-23T01:37:54.4561911Z 2022-11-23T01:37:54.4561969Z 2022-11-23T01:37:54.4562152Z [2022-11-23 01:30:10,506] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.4562224Z - 2022-11-23T01:37:54.4562346Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.4562397Z { 2022-11-23T01:37:54.4562538Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.4562728Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.4562850Z 'obj_weakref': None 2022-11-23T01:37:54.4563076Z 'guarded_class': 2022-11-23T01:37:54.4563140Z } 2022-11-23T01:37:54.4563199Z 2022-11-23T01:37:54.4563257Z - 2022-11-23T01:37:54.4563381Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.4563444Z { 2022-11-23T01:37:54.4563588Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4563698Z 'code': None, 2022-11-23T01:37:54.4563910Z 'obj_weakref': 2022-11-23T01:37:54.4564166Z 'guarded_class': 2022-11-23T01:37:54.4564221Z } 2022-11-23T01:37:54.4564281Z 2022-11-23T01:37:54.4564349Z - 2022-11-23T01:37:54.4564469Z local 'model' NN_MODULE 2022-11-23T01:37:54.4564530Z { 2022-11-23T01:37:54.4564663Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.4564836Z 'code': ['___check_obj_id(model, 140538737437072)'], 2022-11-23T01:37:54.4565047Z 'obj_weakref': 2022-11-23T01:37:54.4565285Z 'guarded_class': 2022-11-23T01:37:54.4565350Z } 2022-11-23T01:37:54.4565411Z 2022-11-23T01:37:54.4565483Z - 2022-11-23T01:37:54.4565604Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.4565668Z { 2022-11-23T01:37:54.4565795Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.4566019Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.4566142Z 'obj_weakref': None 2022-11-23T01:37:54.4566365Z 'guarded_class': 2022-11-23T01:37:54.4566430Z } 2022-11-23T01:37:54.4566521Z 2022-11-23T01:37:54.4566594Z - 2022-11-23T01:37:54.4566731Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.4566796Z { 2022-11-23T01:37:54.4572762Z 'guard_types': None, 2022-11-23T01:37:54.4572928Z 'code': None, 2022-11-23T01:37:54.4573056Z 'obj_weakref': None 2022-11-23T01:37:54.4573185Z 'guarded_class': None 2022-11-23T01:37:54.4573250Z } 2022-11-23T01:37:54.4573313Z 2022-11-23T01:37:54.4573386Z - 2022-11-23T01:37:54.4573541Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.4573669Z { 2022-11-23T01:37:54.4573796Z 'guard_types': None, 2022-11-23T01:37:54.4573907Z 'code': None, 2022-11-23T01:37:54.4574030Z 'obj_weakref': None 2022-11-23T01:37:54.4574154Z 'guarded_class': None 2022-11-23T01:37:54.4574217Z } 2022-11-23T01:37:54.4574277Z 2022-11-23T01:37:54.4574542Z [2022-11-23 01:30:10,595] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 37 2022-11-23T01:37:54.4574549Z 2022-11-23T01:37:54.4574644Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.4574711Z import torch 2022-11-23T01:37:54.4574779Z import random 2022-11-23T01:37:54.4574893Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.4575015Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.4575020Z 2022-11-23T01:37:54.4575098Z aten = torch.ops.aten 2022-11-23T01:37:54.4575219Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.4575318Z async_compile = AsyncCompile() 2022-11-23T01:37:54.4575324Z 2022-11-23T01:37:54.4575329Z 2022-11-23T01:37:54.4575466Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.4575672Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.4575791Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.4575896Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.4575999Z const float* __restrict__ in_ptr2, 2022-11-23T01:37:54.4576099Z const float* __restrict__ in_ptr3, 2022-11-23T01:37:54.4576186Z const float* __restrict__ in_ptr4, 2022-11-23T01:37:54.4576285Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.4576378Z bool* __restrict__ out_ptr1) 2022-11-23T01:37:54.4576439Z { 2022-11-23T01:37:54.4576516Z #pragma GCC ivdep 2022-11-23T01:37:54.4576601Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:54.4576660Z { 2022-11-23T01:37:54.4576724Z #pragma GCC ivdep 2022-11-23T01:37:54.4576807Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:37:54.4576868Z { 2022-11-23T01:37:54.4576950Z for(long i2=0; i2<8; i2+=1) 2022-11-23T01:37:54.4577012Z { 2022-11-23T01:37:54.4577172Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i2) + (64*i1) + (640*i0)); 2022-11-23T01:37:54.4577301Z auto tmp1 = at::vec::Vectorized(in_ptr1[i1]); 2022-11-23T01:37:54.4577423Z auto tmp3 = at::vec::Vectorized(in_ptr2[i1]); 2022-11-23T01:37:54.4577535Z auto tmp11 = at::vec::Vectorized(in_ptr3[i1]); 2022-11-23T01:37:54.4577653Z auto tmp13 = at::vec::Vectorized(in_ptr4[i1]); 2022-11-23T01:37:54.4577788Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:37:54.4578000Z auto tmp4 = at::vec::Vectorized(static_cast(1e-05)); 2022-11-23T01:37:54.4578091Z auto tmp5 = tmp3 + tmp4; 2022-11-23T01:37:54.4578176Z auto tmp6 = tmp5.sqrt(); 2022-11-23T01:37:54.4578275Z auto tmp7 = tmp6.reciprocal(); 2022-11-23T01:37:54.4578412Z auto tmp8 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:54.4578523Z auto tmp9 = tmp7 * tmp8; 2022-11-23T01:37:54.4578616Z auto tmp10 = tmp2 * tmp9; 2022-11-23T01:37:54.4578706Z auto tmp12 = tmp10 * tmp11; 2022-11-23T01:37:54.4578980Z auto tmp14 = tmp12 + tmp13; 2022-11-23T01:37:54.4579158Z auto tmp15 = at::vec::clamp_min(tmp14, decltype(tmp14)(0)); 2022-11-23T01:37:54.4579275Z tmp15.store(out_ptr0 + (8*i2) + (64*i1) + (640*i0)); 2022-11-23T01:37:54.4579338Z } 2022-11-23T01:37:54.4579418Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.4579504Z for(long i2=64; i2<64; i2+=1) 2022-11-23T01:37:54.4579632Z { 2022-11-23T01:37:54.4579736Z auto tmp0 = in_ptr0[i2 + (64*i1) + (640*i0)]; 2022-11-23T01:37:54.4579821Z auto tmp1 = in_ptr1[i1]; 2022-11-23T01:37:54.4579906Z auto tmp3 = in_ptr2[i1]; 2022-11-23T01:37:54.4579993Z auto tmp11 = in_ptr3[i1]; 2022-11-23T01:37:54.4580069Z auto tmp13 = in_ptr4[i1]; 2022-11-23T01:37:54.4580205Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:37:54.4580363Z auto tmp4 = static_cast(1e-05); 2022-11-23T01:37:54.4580447Z auto tmp5 = tmp3 + tmp4; 2022-11-23T01:37:54.4580544Z auto tmp6 = std::sqrt(tmp5); 2022-11-23T01:37:54.4580626Z auto tmp7 = 1 / tmp6; 2022-11-23T01:37:54.4580727Z auto tmp8 = static_cast(1); 2022-11-23T01:37:54.4580799Z auto tmp9 = tmp7 * tmp8; 2022-11-23T01:37:54.4580885Z auto tmp10 = tmp2 * tmp9; 2022-11-23T01:37:54.4580978Z auto tmp12 = tmp10 * tmp11; 2022-11-23T01:37:54.4581069Z auto tmp14 = tmp12 + tmp13; 2022-11-23T01:37:54.4581161Z auto tmp15 = tmp14 * (tmp14>0); 2022-11-23T01:37:54.4581260Z out_ptr0[i2 + (64*i1) + (640*i0)] = tmp15; 2022-11-23T01:37:54.4581323Z } 2022-11-23T01:37:54.4581373Z } 2022-11-23T01:37:54.4581435Z } 2022-11-23T01:37:54.4581512Z #pragma GCC ivdep 2022-11-23T01:37:54.4581592Z for(long i0=0; i0<1280; i0+=1) 2022-11-23T01:37:54.4581653Z { 2022-11-23T01:37:54.4581715Z { 2022-11-23T01:37:54.4581775Z { 2022-11-23T01:37:54.4581850Z auto tmp0 = out_ptr0[i0]; 2022-11-23T01:37:54.4581948Z auto tmp1 = static_cast(0); 2022-11-23T01:37:54.4582034Z auto tmp2 = tmp0 <= tmp1; 2022-11-23T01:37:54.4582114Z out_ptr1[i0] = tmp2; 2022-11-23T01:37:54.4582174Z } 2022-11-23T01:37:54.4582239Z } 2022-11-23T01:37:54.4582301Z } 2022-11-23T01:37:54.4582348Z } 2022-11-23T01:37:54.4582426Z ''') 2022-11-23T01:37:54.4582432Z 2022-11-23T01:37:54.4582437Z 2022-11-23T01:37:54.4582524Z async_compile.wait(globals()) 2022-11-23T01:37:54.4582594Z del async_compile 2022-11-23T01:37:54.4582598Z 2022-11-23T01:37:54.4582667Z def call(args): 2022-11-23T01:37:54.4582806Z primals_1, primals_2, primals_3, primals_4, primals_5, primals_6 = args 2022-11-23T01:37:54.4582876Z args.clear() 2022-11-23T01:37:54.4583080Z buf0 = empty_strided((2, 10, 8, 8), (640, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4583292Z buf1 = empty_strided((2, 10, 8, 8), (640, 64, 8, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.4583574Z kernel_cpp_0(c_void_p(primals_6.data_ptr()), c_void_p(primals_3.data_ptr()), c_void_p(primals_4.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:54.4583645Z del primals_1 2022-11-23T01:37:54.4583716Z del primals_2 2022-11-23T01:37:54.4583832Z return (buf0, primals_3, primals_4, primals_6, buf1, ) 2022-11-23T01:37:54.4583838Z 2022-11-23T01:37:54.4583842Z 2022-11-23T01:37:54.4583915Z if __name__ == "__main__": 2022-11-23T01:37:54.4584029Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.4584196Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.4584392Z primals_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4584595Z primals_2 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4584794Z primals_3 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4584995Z primals_4 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4585184Z primals_5 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.4585406Z primals_6 = rand_strided((2, 10, 8, 8), (640, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4585613Z print_performance(lambda: call([primals_1, primals_2, primals_3, primals_4, primals_5, primals_6])) 2022-11-23T01:37:54.4585619Z 2022-11-23T01:37:54.4585623Z 2022-11-23T01:37:54.4585717Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.4585774Z import torch 2022-11-23T01:37:54.4585843Z import random 2022-11-23T01:37:54.4585961Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.4586083Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.4586088Z 2022-11-23T01:37:54.4586165Z aten = torch.ops.aten 2022-11-23T01:37:54.4586302Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.4586394Z async_compile = AsyncCompile() 2022-11-23T01:37:54.4586399Z 2022-11-23T01:37:54.4586403Z 2022-11-23T01:37:54.4586537Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.4586729Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.4586850Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.4586951Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.4587052Z const float* __restrict__ in_ptr2, 2022-11-23T01:37:54.4587153Z const float* __restrict__ in_ptr3, 2022-11-23T01:37:54.4587253Z const float* __restrict__ in_ptr4, 2022-11-23T01:37:54.4587351Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.4587443Z bool* __restrict__ out_ptr1) 2022-11-23T01:37:54.4587491Z { 2022-11-23T01:37:54.4587561Z #pragma GCC ivdep 2022-11-23T01:37:54.4587640Z for(long i0=0; i0<3; i0+=1) 2022-11-23T01:37:54.4587702Z { 2022-11-23T01:37:54.4587780Z #pragma GCC ivdep 2022-11-23T01:37:54.4587865Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:37:54.4587914Z { 2022-11-23T01:37:54.4587997Z for(long i2=0; i2<32; i2+=1) 2022-11-23T01:37:54.4588060Z { 2022-11-23T01:37:54.4588297Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i2) + (256*i1) + (2560*i0)); 2022-11-23T01:37:54.4588429Z auto tmp1 = at::vec::Vectorized(in_ptr1[i1]); 2022-11-23T01:37:54.4588552Z auto tmp3 = at::vec::Vectorized(in_ptr2[i1]); 2022-11-23T01:37:54.4588679Z auto tmp11 = at::vec::Vectorized(in_ptr3[i1]); 2022-11-23T01:37:54.4588798Z auto tmp13 = at::vec::Vectorized(in_ptr4[i1]); 2022-11-23T01:37:54.4588922Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:37:54.4589132Z auto tmp4 = at::vec::Vectorized(static_cast(1e-05)); 2022-11-23T01:37:54.4589221Z auto tmp5 = tmp3 + tmp4; 2022-11-23T01:37:54.4589310Z auto tmp6 = tmp5.sqrt(); 2022-11-23T01:37:54.4589409Z auto tmp7 = tmp6.reciprocal(); 2022-11-23T01:37:54.4589541Z auto tmp8 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:54.4589631Z auto tmp9 = tmp7 * tmp8; 2022-11-23T01:37:54.4589719Z auto tmp10 = tmp2 * tmp9; 2022-11-23T01:37:54.4589799Z auto tmp12 = tmp10 * tmp11; 2022-11-23T01:37:54.4589890Z auto tmp14 = tmp12 + tmp13; 2022-11-23T01:37:54.4590058Z auto tmp15 = at::vec::clamp_min(tmp14, decltype(tmp14)(0)); 2022-11-23T01:37:54.4590175Z tmp15.store(out_ptr0 + (8*i2) + (256*i1) + (2560*i0)); 2022-11-23T01:37:54.4590238Z } 2022-11-23T01:37:54.4590329Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.4590415Z for(long i2=256; i2<256; i2+=1) 2022-11-23T01:37:54.4590465Z { 2022-11-23T01:37:54.4590568Z auto tmp0 = in_ptr0[i2 + (256*i1) + (2560*i0)]; 2022-11-23T01:37:54.4590652Z auto tmp1 = in_ptr1[i1]; 2022-11-23T01:37:54.4590735Z auto tmp3 = in_ptr2[i1]; 2022-11-23T01:37:54.4590855Z auto tmp11 = in_ptr3[i1]; 2022-11-23T01:37:54.4590944Z auto tmp13 = in_ptr4[i1]; 2022-11-23T01:37:54.4591075Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:37:54.4591221Z auto tmp4 = static_cast(1e-05); 2022-11-23T01:37:54.4591308Z auto tmp5 = tmp3 + tmp4; 2022-11-23T01:37:54.4591408Z auto tmp6 = std::sqrt(tmp5); 2022-11-23T01:37:54.4591489Z auto tmp7 = 1 / tmp6; 2022-11-23T01:37:54.4591589Z auto tmp8 = static_cast(1); 2022-11-23T01:37:54.4591671Z auto tmp9 = tmp7 * tmp8; 2022-11-23T01:37:54.4591759Z auto tmp10 = tmp2 * tmp9; 2022-11-23T01:37:54.4591835Z auto tmp12 = tmp10 * tmp11; 2022-11-23T01:37:54.4591923Z auto tmp14 = tmp12 + tmp13; 2022-11-23T01:37:54.4592016Z auto tmp15 = tmp14 * (tmp14>0); 2022-11-23T01:37:54.4592115Z out_ptr0[i2 + (256*i1) + (2560*i0)] = tmp15; 2022-11-23T01:37:54.4592182Z } 2022-11-23T01:37:54.4592243Z } 2022-11-23T01:37:54.4592305Z } 2022-11-23T01:37:54.4592368Z #pragma GCC ivdep 2022-11-23T01:37:54.4592448Z for(long i0=0; i0<7680; i0+=1) 2022-11-23T01:37:54.4592508Z { 2022-11-23T01:37:54.4592570Z { 2022-11-23T01:37:54.4592633Z { 2022-11-23T01:37:54.4592720Z auto tmp0 = out_ptr0[i0]; 2022-11-23T01:37:54.4592821Z auto tmp1 = static_cast(0); 2022-11-23T01:37:54.4592894Z auto tmp2 = tmp0 <= tmp1; 2022-11-23T01:37:54.4592974Z out_ptr1[i0] = tmp2; 2022-11-23T01:37:54.4593038Z } 2022-11-23T01:37:54.4593100Z } 2022-11-23T01:37:54.4593162Z } 2022-11-23T01:37:54.4593220Z } 2022-11-23T01:37:54.4593288Z ''') 2022-11-23T01:37:54.4593306Z 2022-11-23T01:37:54.4593310Z 2022-11-23T01:37:54.4593386Z async_compile.wait(globals()) 2022-11-23T01:37:54.4593457Z del async_compile 2022-11-23T01:37:54.4593462Z 2022-11-23T01:37:54.4593533Z def call(args): 2022-11-23T01:37:54.4593672Z primals_1, primals_2, primals_3, primals_4, primals_5, primals_6 = args 2022-11-23T01:37:54.4593743Z args.clear() 2022-11-23T01:37:54.4593968Z buf0 = empty_strided((3, 10, 16, 16), (2560, 256, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4594189Z buf1 = empty_strided((3, 10, 16, 16), (2560, 256, 16, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.4594465Z kernel_cpp_0(c_void_p(primals_6.data_ptr()), c_void_p(primals_3.data_ptr()), c_void_p(primals_4.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:54.4594526Z del primals_1 2022-11-23T01:37:54.4594596Z del primals_2 2022-11-23T01:37:54.4594713Z return (buf0, primals_3, primals_4, primals_6, buf1, ) 2022-11-23T01:37:54.4594719Z 2022-11-23T01:37:54.4594723Z 2022-11-23T01:37:54.4594797Z if __name__ == "__main__": 2022-11-23T01:37:54.4594911Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.4595035Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.4595238Z primals_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4595439Z primals_2 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4595666Z primals_3 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4595870Z primals_4 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4596060Z primals_5 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.4596288Z primals_6 = rand_strided((3, 10, 16, 16), (2560, 256, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4596461Z print_performance(lambda: call([primals_1, primals_2, primals_3, primals_4, primals_5, primals_6])) 2022-11-23T01:37:54.4596844Z [2022-11-23 01:30:12,156] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/un/cunv3dmzqdiympjwcuxmbm3ifjlbvfkp3b3z4v7drwoeznjxc7wt.py 2022-11-23T01:37:54.4597162Z [2022-11-23 01:30:12,157] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 37 2022-11-23T01:37:54.4597168Z 2022-11-23T01:37:54.4597237Z ok (3.241s) 2022-11-23T01:37:54.4597555Z test_bernoulli1_cpu (__main__.CpuTests) ... [2022-11-23 01:30:12,165] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.4597817Z [2022-11-23 01:30:12,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.4598043Z [2022-11-23 01:30:12,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.4598300Z [2022-11-23 01:30:12,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.4598591Z [2022-11-23 01:30:12,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.4598921Z [2022-11-23 01:30:12,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.4599250Z [2022-11-23 01:30:12,165] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.4599349Z 3579 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.4599450Z 2 LOAD_METHOD 1 (empty_like) 2022-11-23T01:37:54.4599541Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.4599616Z 6 CALL_METHOD 1 2022-11-23T01:37:54.4599706Z 8 STORE_FAST 1 (b) 2022-11-23T01:37:54.4599711Z 2022-11-23T01:37:54.4599802Z 3580 10 LOAD_GLOBAL 2 (aten) 2022-11-23T01:37:54.4599904Z 12 LOAD_METHOD 3 (bernoulli_) 2022-11-23T01:37:54.4599993Z 14 LOAD_FAST 1 (b) 2022-11-23T01:37:54.4600082Z 16 CALL_METHOD 1 2022-11-23T01:37:54.4600163Z 18 LOAD_FAST 1 (b) 2022-11-23T01:37:54.4600255Z 20 BUILD_TUPLE 2 2022-11-23T01:37:54.4600334Z 22 RETURN_VALUE 2022-11-23T01:37:54.4600392Z 2022-11-23T01:37:54.4600398Z 2022-11-23T01:37:54.4600671Z [2022-11-23 01:30:12,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3579 2022-11-23T01:37:54.4600883Z [2022-11-23 01:30:12,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.4601261Z [2022-11-23 01:30:12,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR empty_like [TorchVariable()] 2022-11-23T01:37:54.4601593Z [2022-11-23 01:30:12,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:54.4601959Z [2022-11-23 01:30:12,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.4602203Z [2022-11-23 01:30:12,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()] 2022-11-23T01:37:54.4602506Z [2022-11-23 01:30:12,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3580 2022-11-23T01:37:54.4602728Z [2022-11-23 01:30:12,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.4603045Z [2022-11-23 01:30:12,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bernoulli_ [TorchVariable()] 2022-11-23T01:37:54.4603305Z [2022-11-23 01:30:12,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.bernoulli_)] 2022-11-23T01:37:54.4603601Z [2022-11-23 01:30:12,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.bernoulli_), TensorVariable()] 2022-11-23T01:37:54.4603874Z [2022-11-23 01:30:12,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:54.4604135Z [2022-11-23 01:30:12,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4604385Z [2022-11-23 01:30:12,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.4604718Z [2022-11-23 01:30:12,174] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.4604965Z [2022-11-23 01:30:12,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.4605201Z [2022-11-23 01:30:12,174] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.4605459Z [2022-11-23 01:30:12,176] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.4605712Z [2022-11-23 01:30:12,179] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.4605902Z [2022-11-23 01:30:12,179] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.4606036Z __compiled_fn_39 .258 opcode, name, target, args, kwargs 2022-11-23T01:37:54.4606113Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.4606362Z call_function, empty_like, , (ex_0_,), {} 2022-11-23T01:37:54.4606490Z call_function, bernoulli_, aten.bernoulli_, (empty_like,), {} 2022-11-23T01:37:54.4606609Z output, output, output, ((bernoulli_, empty_like),), {} 2022-11-23T01:37:54.4606614Z 2022-11-23T01:37:54.4606896Z [2022-11-23 01:30:12,180] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4606995Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.4607085Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4607177Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.4607254Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.4607331Z 8 RETURN_VALUE 2022-11-23T01:37:54.4607337Z 2022-11-23T01:37:54.4607399Z 2022-11-23T01:37:54.4607677Z [2022-11-23 01:30:12,180] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4607786Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_39) 2022-11-23T01:37:54.4607877Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4607970Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4608034Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.4608123Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.4608226Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4608331Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4608423Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4608499Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.4608604Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4608723Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:54.4608788Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.4608877Z 24 BUILD_TUPLE 2 2022-11-23T01:37:54.4608953Z 26 RETURN_VALUE 2022-11-23T01:37:54.4608958Z 2022-11-23T01:37:54.4609020Z 2022-11-23T01:37:54.4609208Z [2022-11-23 01:30:12,180] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.4609282Z - 2022-11-23T01:37:54.4609404Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.4609455Z { 2022-11-23T01:37:54.4609598Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.4609789Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.4609945Z 'obj_weakref': None 2022-11-23T01:37:54.4610174Z 'guarded_class': 2022-11-23T01:37:54.4610241Z } 2022-11-23T01:37:54.4610303Z 2022-11-23T01:37:54.4610360Z - 2022-11-23T01:37:54.4610490Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.4610556Z { 2022-11-23T01:37:54.4610702Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4610812Z 'code': None, 2022-11-23T01:37:54.4611031Z 'obj_weakref': 2022-11-23T01:37:54.4611289Z 'guarded_class': 2022-11-23T01:37:54.4611341Z } 2022-11-23T01:37:54.4611403Z 2022-11-23T01:37:54.4611473Z - 2022-11-23T01:37:54.4611610Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.4611675Z { 2022-11-23T01:37:54.4611811Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.4611985Z 'code': ['___check_obj_id(model, 140538741383680)'], 2022-11-23T01:37:54.4612093Z 'obj_weakref': None 2022-11-23T01:37:54.4612330Z 'guarded_class': 2022-11-23T01:37:54.4612393Z } 2022-11-23T01:37:54.4612456Z 2022-11-23T01:37:54.4612528Z - 2022-11-23T01:37:54.4612653Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.4612719Z { 2022-11-23T01:37:54.4612844Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.4613062Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.4613183Z 'obj_weakref': None 2022-11-23T01:37:54.4613406Z 'guarded_class': 2022-11-23T01:37:54.4613470Z } 2022-11-23T01:37:54.4613530Z 2022-11-23T01:37:54.4613599Z - 2022-11-23T01:37:54.4613719Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.4613779Z { 2022-11-23T01:37:54.4613900Z 'guard_types': None, 2022-11-23T01:37:54.4614012Z 'code': None, 2022-11-23T01:37:54.4614130Z 'obj_weakref': None 2022-11-23T01:37:54.4614253Z 'guarded_class': None 2022-11-23T01:37:54.4614313Z } 2022-11-23T01:37:54.4614362Z 2022-11-23T01:37:54.4614431Z - 2022-11-23T01:37:54.4614565Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.4614628Z { 2022-11-23T01:37:54.4614750Z 'guard_types': None, 2022-11-23T01:37:54.4614857Z 'code': None, 2022-11-23T01:37:54.4614964Z 'obj_weakref': None 2022-11-23T01:37:54.4615084Z 'guarded_class': None 2022-11-23T01:37:54.4615149Z } 2022-11-23T01:37:54.4615212Z 2022-11-23T01:37:54.4615471Z [2022-11-23 01:30:12,186] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 38 2022-11-23T01:37:54.4615911Z [2022-11-23 01:30:13,693] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qh/cqhdj62uxlqhrr55gago5ajlvai5x52uqufo7kfftzuq2twm5e2g.py 2022-11-23T01:37:54.4616181Z [2022-11-23 01:30:13,693] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 38 2022-11-23T01:37:54.4616187Z 2022-11-23T01:37:54.4616283Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.4616341Z import torch 2022-11-23T01:37:54.4616408Z import random 2022-11-23T01:37:54.4616523Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.4616642Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.4616647Z 2022-11-23T01:37:54.4616724Z aten = torch.ops.aten 2022-11-23T01:37:54.4616858Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.4616986Z async_compile = AsyncCompile() 2022-11-23T01:37:54.4616991Z 2022-11-23T01:37:54.4616996Z 2022-11-23T01:37:54.4617134Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.4617329Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.4617444Z extern "C" void kernel(float* __restrict__ out_ptr0) 2022-11-23T01:37:54.4617505Z { 2022-11-23T01:37:54.4617586Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:37:54.4617651Z { 2022-11-23T01:37:54.4617790Z auto tmp0 = at::vec::Vectorized(static_cast(0)); 2022-11-23T01:37:54.4617879Z tmp0.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.4617927Z } 2022-11-23T01:37:54.4618015Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.4618094Z for(long i0=96; i0<100; i0+=1) 2022-11-23T01:37:54.4618154Z { 2022-11-23T01:37:54.4618249Z auto tmp0 = static_cast(0); 2022-11-23T01:37:54.4618328Z out_ptr0[i0] = tmp0; 2022-11-23T01:37:54.4618388Z } 2022-11-23T01:37:54.4618434Z } 2022-11-23T01:37:54.4618515Z ''') 2022-11-23T01:37:54.4618520Z 2022-11-23T01:37:54.4618524Z 2022-11-23T01:37:54.4618611Z async_compile.wait(globals()) 2022-11-23T01:37:54.4618683Z del async_compile 2022-11-23T01:37:54.4618688Z 2022-11-23T01:37:54.4618894Z def call(args): 2022-11-23T01:37:54.4619018Z arg0_1, = args 2022-11-23T01:37:54.4619120Z args.clear() 2022-11-23T01:37:54.4619312Z buf0 = empty_strided((100, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4619416Z kernel_cpp_0(c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.4619500Z aten.bernoulli_(buf0, ) 2022-11-23T01:37:54.4619577Z return (buf0, buf0, ) 2022-11-23T01:37:54.4619582Z 2022-11-23T01:37:54.4619586Z 2022-11-23T01:37:54.4619661Z if __name__ == "__main__": 2022-11-23T01:37:54.4619775Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.4619898Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.4620103Z arg0_1 = rand_strided((100, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4620197Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.4620202Z 2022-11-23T01:37:54.4620268Z ok (1.536s) 2022-11-23T01:37:54.4620584Z test_bernoulli2_cpu (__main__.CpuTests) ... [2022-11-23 01:30:13,700] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.4620858Z [2022-11-23 01:30:13,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.4621080Z [2022-11-23 01:30:13,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.4621337Z [2022-11-23 01:30:13,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.4621625Z [2022-11-23 01:30:13,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.4621952Z [2022-11-23 01:30:13,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.4622283Z [2022-11-23 01:30:13,701] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.4622432Z 3591 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.4622535Z 2 LOAD_METHOD 1 (bernoulli) 2022-11-23T01:37:54.4622626Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.4622713Z 6 CALL_METHOD 1 2022-11-23T01:37:54.4622789Z 8 RETURN_VALUE 2022-11-23T01:37:54.4622849Z 2022-11-23T01:37:54.4622854Z 2022-11-23T01:37:54.4623127Z [2022-11-23 01:30:13,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3591 2022-11-23T01:37:54.4623347Z [2022-11-23 01:30:13,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.4623694Z [2022-11-23 01:30:13,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bernoulli [TorchVariable()] 2022-11-23T01:37:54.4623960Z [2022-11-23 01:30:13,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.bernoulli)] 2022-11-23T01:37:54.4624257Z [2022-11-23 01:30:13,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.bernoulli), TensorVariable()] 2022-11-23T01:37:54.4624509Z [2022-11-23 01:30:13,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.4624843Z [2022-11-23 01:30:13,708] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.4625093Z [2022-11-23 01:30:13,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.4625337Z [2022-11-23 01:30:13,708] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.4625596Z [2022-11-23 01:30:13,709] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.4625849Z [2022-11-23 01:30:13,712] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.4626040Z [2022-11-23 01:30:13,712] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.4626162Z __compiled_fn_40 .264 opcode, name, target, args, kwargs 2022-11-23T01:37:54.4626251Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.4626368Z call_function, bernoulli, aten.bernoulli, (ex_0_,), {} 2022-11-23T01:37:54.4626471Z output, output, output, ((bernoulli,),), {} 2022-11-23T01:37:54.4626476Z 2022-11-23T01:37:54.4626755Z [2022-11-23 01:30:13,713] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4626851Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.4626944Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4627025Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.4627112Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.4627187Z 8 RETURN_VALUE 2022-11-23T01:37:54.4627192Z 2022-11-23T01:37:54.4627255Z 2022-11-23T01:37:54.4627535Z [2022-11-23 01:30:13,713] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4627641Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_40) 2022-11-23T01:37:54.4627730Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4627819Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4627883Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.4627968Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.4628056Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.4628216Z 12 RETURN_VALUE 2022-11-23T01:37:54.4628222Z 2022-11-23T01:37:54.4628287Z 2022-11-23T01:37:54.4628476Z [2022-11-23 01:30:13,714] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.4628547Z - 2022-11-23T01:37:54.4628655Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.4628718Z { 2022-11-23T01:37:54.4628901Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.4629095Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.4629219Z 'obj_weakref': None 2022-11-23T01:37:54.4629449Z 'guarded_class': 2022-11-23T01:37:54.4629515Z } 2022-11-23T01:37:54.4629565Z 2022-11-23T01:37:54.4629636Z - 2022-11-23T01:37:54.4629767Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.4629829Z { 2022-11-23T01:37:54.4629978Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4630123Z 'code': None, 2022-11-23T01:37:54.4630341Z 'obj_weakref': 2022-11-23T01:37:54.4630587Z 'guarded_class': 2022-11-23T01:37:54.4630651Z } 2022-11-23T01:37:54.4630718Z 2022-11-23T01:37:54.4630788Z - 2022-11-23T01:37:54.4630921Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.4630983Z { 2022-11-23T01:37:54.4631118Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.4631278Z 'code': ['___check_obj_id(model, 140538731015200)'], 2022-11-23T01:37:54.4631401Z 'obj_weakref': None 2022-11-23T01:37:54.4631632Z 'guarded_class': 2022-11-23T01:37:54.4631695Z } 2022-11-23T01:37:54.4631758Z 2022-11-23T01:37:54.4631831Z - 2022-11-23T01:37:54.4631952Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.4632003Z { 2022-11-23T01:37:54.4632142Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.4632359Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.4632482Z 'obj_weakref': None 2022-11-23T01:37:54.4632702Z 'guarded_class': 2022-11-23T01:37:54.4632764Z } 2022-11-23T01:37:54.4632825Z 2022-11-23T01:37:54.4632884Z - 2022-11-23T01:37:54.4633017Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.4633078Z { 2022-11-23T01:37:54.4633198Z 'guard_types': None, 2022-11-23T01:37:54.4633306Z 'code': None, 2022-11-23T01:37:54.4633425Z 'obj_weakref': None 2022-11-23T01:37:54.4633548Z 'guarded_class': None 2022-11-23T01:37:54.4633600Z } 2022-11-23T01:37:54.4633660Z 2022-11-23T01:37:54.4633917Z [2022-11-23 01:30:13,720] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 39 2022-11-23T01:37:54.4634176Z [2022-11-23 01:30:13,720] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager 2022-11-23T01:37:54.4634553Z [2022-11-23 01:30:15,087] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/de/cdelhlsey7otxdmyk2wn4fppuemodze4ebjjxhe6bordsivsfzv6.py 2022-11-23T01:37:54.4634817Z [2022-11-23 01:30:15,087] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 39 2022-11-23T01:37:54.4634823Z 2022-11-23T01:37:54.4634916Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.4634984Z import torch 2022-11-23T01:37:54.4635039Z import random 2022-11-23T01:37:54.4635152Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.4635272Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.4635280Z 2022-11-23T01:37:54.4635357Z aten = torch.ops.aten 2022-11-23T01:37:54.4635488Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.4635579Z async_compile = AsyncCompile() 2022-11-23T01:37:54.4635740Z seed_cpu_None = None # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce 2022-11-23T01:37:54.4635745Z 2022-11-23T01:37:54.4635785Z 2022-11-23T01:37:54.4635922Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.4636120Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.4636238Z extern "C" void kernel(const long* __restrict__ seed0, 2022-11-23T01:37:54.4636343Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.4636440Z bool* __restrict__ out_ptr0) 2022-11-23T01:37:54.4636500Z { 2022-11-23T01:37:54.4636576Z #pragma GCC ivdep 2022-11-23T01:37:54.4636655Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:54.4636736Z { 2022-11-23T01:37:54.4636798Z { 2022-11-23T01:37:54.4636860Z { 2022-11-23T01:37:54.4636943Z auto tmp0 = seed0[0]; 2022-11-23T01:37:54.4637028Z auto tmp5 = in_ptr1[i0]; 2022-11-23T01:37:54.4637128Z auto tmp1 = static_cast(65535); 2022-11-23T01:37:54.4637215Z auto tmp2 = tmp0 ^ tmp1; 2022-11-23T01:37:54.4637303Z auto tmp3 = static_cast(i0); 2022-11-23T01:37:54.4637438Z auto tmp4 = static_cast(normalized_rand_cpu(tmp2, tmp3));; 2022-11-23T01:37:54.4637525Z auto tmp6 = tmp4 < tmp5; 2022-11-23T01:37:54.4637605Z out_ptr0[i0] = tmp6; 2022-11-23T01:37:54.4637669Z } 2022-11-23T01:37:54.4637730Z } 2022-11-23T01:37:54.4637790Z } 2022-11-23T01:37:54.4637837Z } 2022-11-23T01:37:54.4637917Z ''') 2022-11-23T01:37:54.4637922Z 2022-11-23T01:37:54.4637926Z 2022-11-23T01:37:54.4638014Z async_compile.wait(globals()) 2022-11-23T01:37:54.4638089Z del async_compile 2022-11-23T01:37:54.4638094Z 2022-11-23T01:37:54.4638163Z def call(args): 2022-11-23T01:37:54.4638232Z arg0_1, = args 2022-11-23T01:37:54.4638304Z args.clear() 2022-11-23T01:37:54.4638423Z torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None) 2022-11-23T01:37:54.4638612Z buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.4638785Z kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.4638854Z del arg0_1 2022-11-23T01:37:54.4638925Z return (buf0, ) 2022-11-23T01:37:54.4638930Z 2022-11-23T01:37:54.4638934Z 2022-11-23T01:37:54.4639009Z if __name__ == "__main__": 2022-11-23T01:37:54.4639120Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.4639242Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.4639428Z seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.4639625Z arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4639731Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.4639736Z 2022-11-23T01:37:54.4639801Z ok (1.393s) 2022-11-23T01:37:54.4640111Z test_bitwise2_cpu (__main__.CpuTests) ... [2022-11-23 01:30:15,095] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.4640384Z [2022-11-23 01:30:15,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.4640605Z [2022-11-23 01:30:15,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.4640865Z [2022-11-23 01:30:15,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.4641154Z [2022-11-23 01:30:15,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.4641470Z [2022-11-23 01:30:15,095] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.4641799Z [2022-11-23 01:30:15,095] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.4641932Z 2738 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.4642036Z 2 LOAD_METHOD 1 (bitwise_not) 2022-11-23T01:37:54.4642127Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:54.4642216Z 6 CALL_METHOD 1 2022-11-23T01:37:54.4642222Z 2022-11-23T01:37:54.4642314Z 2739 8 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.4642412Z 10 LOAD_METHOD 2 (bitwise_or) 2022-11-23T01:37:54.4642490Z 12 LOAD_FAST 0 (x) 2022-11-23T01:37:54.4642578Z 14 LOAD_FAST 1 (y) 2022-11-23T01:37:54.4642713Z 16 CALL_METHOD 2 2022-11-23T01:37:54.4642718Z 2022-11-23T01:37:54.4642811Z 2740 18 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.4642910Z 20 LOAD_METHOD 3 (bitwise_xor) 2022-11-23T01:37:54.4642998Z 22 LOAD_FAST 0 (x) 2022-11-23T01:37:54.4643087Z 24 LOAD_FAST 1 (y) 2022-11-23T01:37:54.4643173Z 26 CALL_METHOD 2 2022-11-23T01:37:54.4643178Z 2022-11-23T01:37:54.4643257Z 2741 28 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.4643353Z 30 LOAD_METHOD 4 (bitwise_and) 2022-11-23T01:37:54.4643442Z 32 LOAD_FAST 0 (x) 2022-11-23T01:37:54.4643527Z 34 LOAD_FAST 1 (y) 2022-11-23T01:37:54.4643613Z 36 CALL_METHOD 2 2022-11-23T01:37:54.4643700Z 38 BUILD_TUPLE 4 2022-11-23T01:37:54.4643776Z 40 RETURN_VALUE 2022-11-23T01:37:54.4643824Z 2022-11-23T01:37:54.4643842Z 2022-11-23T01:37:54.4644104Z [2022-11-23 01:30:15,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2738 2022-11-23T01:37:54.4644329Z [2022-11-23 01:30:15,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.4644711Z [2022-11-23 01:30:15,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_not [TorchVariable()] 2022-11-23T01:37:54.4645047Z [2022-11-23 01:30:15,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:37:54.4645411Z [2022-11-23 01:30:15,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.4645685Z [2022-11-23 01:30:15,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2739 2022-11-23T01:37:54.4645937Z [2022-11-23 01:30:15,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:37:54.4646342Z [2022-11-23 01:30:15,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_or [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4646702Z [2022-11-23 01:30:15,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4647085Z [2022-11-23 01:30:15,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.4647508Z [2022-11-23 01:30:15,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4647767Z [2022-11-23 01:30:15,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2740 2022-11-23T01:37:54.4648091Z [2022-11-23 01:30:15,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4648530Z [2022-11-23 01:30:15,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_xor [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4648922Z [2022-11-23 01:30:15,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4649340Z [2022-11-23 01:30:15,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.4649834Z [2022-11-23 01:30:15,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4650105Z [2022-11-23 01:30:15,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2741 2022-11-23T01:37:54.4650414Z [2022-11-23 01:30:15,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4650876Z [2022-11-23 01:30:15,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_and [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4651300Z [2022-11-23 01:30:15,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4651747Z [2022-11-23 01:30:15,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.4652229Z [2022-11-23 01:30:15,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4652561Z [2022-11-23 01:30:15,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4652818Z [2022-11-23 01:30:15,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.4653138Z [2022-11-23 01:30:15,103] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.4653391Z [2022-11-23 01:30:15,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.4653628Z [2022-11-23 01:30:15,103] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.4653886Z [2022-11-23 01:30:15,104] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.4654139Z [2022-11-23 01:30:15,108] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.4654333Z [2022-11-23 01:30:15,109] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.4654468Z __compiled_fn_41 .270 opcode, name, target, args, kwargs 2022-11-23T01:37:54.4654562Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.4654650Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.4654887Z call_function, bitwise_not, , (ex_0_,), {} 2022-11-23T01:37:54.4655171Z call_function, bitwise_or, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.4655433Z call_function, bitwise_xor, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.4655691Z call_function, bitwise_and, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.4655840Z output, output, output, ((bitwise_not, bitwise_or, bitwise_xor, bitwise_and),), {} 2022-11-23T01:37:54.4655845Z 2022-11-23T01:37:54.4656122Z [2022-11-23 01:30:15,109] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4656249Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.4656344Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4656439Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.4656517Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.4656595Z 8 RETURN_VALUE 2022-11-23T01:37:54.4656600Z 2022-11-23T01:37:54.4656660Z 2022-11-23T01:37:54.4656941Z [2022-11-23 01:30:15,109] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4657050Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_41) 2022-11-23T01:37:54.4657139Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4657227Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4657292Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.4657381Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4657467Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.4657546Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.4657632Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.4657734Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4657834Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4657909Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4657986Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.4658085Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4658172Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:54.4658246Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.4658344Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4658429Z 32 LOAD_CONST 3 (2) 2022-11-23T01:37:54.4658491Z 34 BINARY_SUBSCR 2022-11-23T01:37:54.4658590Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4658675Z 38 LOAD_CONST 4 (3) 2022-11-23T01:37:54.4658912Z 40 BINARY_SUBSCR 2022-11-23T01:37:54.4659057Z 42 BUILD_TUPLE 4 2022-11-23T01:37:54.4659150Z 44 RETURN_VALUE 2022-11-23T01:37:54.4659157Z 2022-11-23T01:37:54.4659218Z 2022-11-23T01:37:54.4659408Z [2022-11-23 01:30:15,110] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.4659470Z - 2022-11-23T01:37:54.4659593Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.4659656Z { 2022-11-23T01:37:54.4659804Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.4659995Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.4660118Z 'obj_weakref': None 2022-11-23T01:37:54.4660346Z 'guarded_class': 2022-11-23T01:37:54.4660397Z } 2022-11-23T01:37:54.4660459Z 2022-11-23T01:37:54.4660533Z - 2022-11-23T01:37:54.4660661Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.4660723Z { 2022-11-23T01:37:54.4660868Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4660966Z 'code': None, 2022-11-23T01:37:54.4661182Z 'obj_weakref': 2022-11-23T01:37:54.4661495Z 'guarded_class': 2022-11-23T01:37:54.4661561Z } 2022-11-23T01:37:54.4661623Z 2022-11-23T01:37:54.4661696Z - 2022-11-23T01:37:54.4661823Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.4661887Z { 2022-11-23T01:37:54.4662020Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4662131Z 'code': None, 2022-11-23T01:37:54.4662347Z 'obj_weakref': 2022-11-23T01:37:54.4662643Z 'guarded_class': 2022-11-23T01:37:54.4662706Z } 2022-11-23T01:37:54.4662770Z 2022-11-23T01:37:54.4662842Z - 2022-11-23T01:37:54.4662961Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.4663023Z { 2022-11-23T01:37:54.4663163Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.4663335Z 'code': ['___check_obj_id(model, 140538744433984)'], 2022-11-23T01:37:54.4663457Z 'obj_weakref': None 2022-11-23T01:37:54.4663689Z 'guarded_class': 2022-11-23T01:37:54.4663753Z } 2022-11-23T01:37:54.4663803Z 2022-11-23T01:37:54.4663873Z - 2022-11-23T01:37:54.4663997Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.4664061Z { 2022-11-23T01:37:54.4664197Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.4664421Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.4664541Z 'obj_weakref': None 2022-11-23T01:37:54.4664750Z 'guarded_class': 2022-11-23T01:37:54.4664813Z } 2022-11-23T01:37:54.4664875Z 2022-11-23T01:37:54.4664947Z - 2022-11-23T01:37:54.4665084Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.4665146Z { 2022-11-23T01:37:54.4665255Z 'guard_types': None, 2022-11-23T01:37:54.4665363Z 'code': None, 2022-11-23T01:37:54.4665480Z 'obj_weakref': None 2022-11-23T01:37:54.4665602Z 'guarded_class': None 2022-11-23T01:37:54.4665664Z } 2022-11-23T01:37:54.4665724Z 2022-11-23T01:37:54.4665987Z [2022-11-23 01:30:15,120] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 40 2022-11-23T01:37:54.4666357Z [2022-11-23 01:30:16,631] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/q5/cq5ml6v2ak76w7zk6svsh5kpdlpld7ymk2r2eitraxekh6jigos2.py 2022-11-23T01:37:54.4666610Z [2022-11-23 01:30:16,631] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 40 2022-11-23T01:37:54.4666629Z 2022-11-23T01:37:54.4666714Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.4666782Z import torch 2022-11-23T01:37:54.4666851Z import random 2022-11-23T01:37:54.4666965Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.4667084Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.4667090Z 2022-11-23T01:37:54.4667165Z aten = torch.ops.aten 2022-11-23T01:37:54.4667297Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.4667375Z async_compile = AsyncCompile() 2022-11-23T01:37:54.4667380Z 2022-11-23T01:37:54.4667384Z 2022-11-23T01:37:54.4667521Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.4667727Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.4667843Z extern "C" void kernel(const bool* __restrict__ in_ptr0, 2022-11-23T01:37:54.4667946Z const bool* __restrict__ in_ptr1, 2022-11-23T01:37:54.4668043Z bool* __restrict__ out_ptr0, 2022-11-23T01:37:54.4668251Z bool* __restrict__ out_ptr1, 2022-11-23T01:37:54.4668353Z bool* __restrict__ out_ptr2, 2022-11-23T01:37:54.4668431Z bool* __restrict__ out_ptr3) 2022-11-23T01:37:54.4668490Z { 2022-11-23T01:37:54.4668569Z #pragma GCC ivdep 2022-11-23T01:37:54.4668650Z for(long i0=0; i0<40; i0+=1) 2022-11-23T01:37:54.4668710Z { 2022-11-23T01:37:54.4668772Z { 2022-11-23T01:37:54.4668821Z { 2022-11-23T01:37:54.4668908Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.4668996Z auto tmp2 = in_ptr1[i0]; 2022-11-23T01:37:54.4669114Z auto tmp1 = tmp0 == 0; 2022-11-23T01:37:54.4669200Z auto tmp3 = tmp0 | tmp2; 2022-11-23T01:37:54.4669285Z auto tmp4 = tmp0 ^ tmp2; 2022-11-23T01:37:54.4669368Z auto tmp5 = tmp0 & tmp2; 2022-11-23T01:37:54.4669437Z out_ptr0[i0] = tmp1; 2022-11-23T01:37:54.4669518Z out_ptr1[i0] = tmp3; 2022-11-23T01:37:54.4669595Z out_ptr2[i0] = tmp4; 2022-11-23T01:37:54.4669671Z out_ptr3[i0] = tmp5; 2022-11-23T01:37:54.4669733Z } 2022-11-23T01:37:54.4669793Z } 2022-11-23T01:37:54.4669852Z } 2022-11-23T01:37:54.4669899Z } 2022-11-23T01:37:54.4669981Z ''') 2022-11-23T01:37:54.4669987Z 2022-11-23T01:37:54.4669991Z 2022-11-23T01:37:54.4670078Z async_compile.wait(globals()) 2022-11-23T01:37:54.4670150Z del async_compile 2022-11-23T01:37:54.4670155Z 2022-11-23T01:37:54.4670225Z def call(args): 2022-11-23T01:37:54.4670298Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.4670372Z args.clear() 2022-11-23T01:37:54.4670556Z buf0 = empty_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.4670747Z buf1 = empty_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.4670936Z buf2 = empty_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.4671126Z buf3 = empty_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.4671363Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr())) 2022-11-23T01:37:54.4671433Z del arg0_1 2022-11-23T01:37:54.4671497Z del arg1_1 2022-11-23T01:37:54.4671584Z return (buf0, buf1, buf2, buf3, ) 2022-11-23T01:37:54.4671589Z 2022-11-23T01:37:54.4671592Z 2022-11-23T01:37:54.4671666Z if __name__ == "__main__": 2022-11-23T01:37:54.4671767Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.4671891Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.4672085Z arg0_1 = rand_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.4672279Z arg1_1 = rand_strided((2, 20), (20, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.4672394Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.4672402Z 2022-11-23T01:37:54.4672466Z ok (1.544s) 2022-11-23T01:37:54.4672775Z test_bitwise_cpu (__main__.CpuTests) ... [2022-11-23 01:30:16,639] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.4673051Z [2022-11-23 01:30:16,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.4673259Z [2022-11-23 01:30:16,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.4673516Z [2022-11-23 01:30:16,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.4673807Z [2022-11-23 01:30:16,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.4674131Z [2022-11-23 01:30:16,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.4674496Z [2022-11-23 01:30:16,640] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.4674595Z 2720 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.4674695Z 2 LOAD_METHOD 1 (bitwise_not) 2022-11-23T01:37:54.4674785Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:54.4674862Z 6 CALL_METHOD 1 2022-11-23T01:37:54.4674879Z 2022-11-23T01:37:54.4674959Z 2721 8 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.4675058Z 10 LOAD_METHOD 2 (bitwise_or) 2022-11-23T01:37:54.4675180Z 12 LOAD_FAST 0 (x) 2022-11-23T01:37:54.4675267Z 14 LOAD_FAST 1 (y) 2022-11-23T01:37:54.4675356Z 16 CALL_METHOD 2 2022-11-23T01:37:54.4675360Z 2022-11-23T01:37:54.4675452Z 2722 18 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.4675553Z 20 LOAD_METHOD 3 (bitwise_xor) 2022-11-23T01:37:54.4675630Z 22 LOAD_FAST 0 (x) 2022-11-23T01:37:54.4675717Z 24 LOAD_FAST 1 (y) 2022-11-23T01:37:54.4675803Z 26 CALL_METHOD 2 2022-11-23T01:37:54.4675808Z 2022-11-23T01:37:54.4675898Z 2723 28 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.4675998Z 30 LOAD_METHOD 4 (bitwise_and) 2022-11-23T01:37:54.4676084Z 32 LOAD_FAST 0 (x) 2022-11-23T01:37:54.4676171Z 34 LOAD_FAST 1 (y) 2022-11-23T01:37:54.4676258Z 36 CALL_METHOD 2 2022-11-23T01:37:54.4676334Z 38 BUILD_TUPLE 4 2022-11-23T01:37:54.4676409Z 40 RETURN_VALUE 2022-11-23T01:37:54.4676469Z 2022-11-23T01:37:54.4676474Z 2022-11-23T01:37:54.4676749Z [2022-11-23 01:30:16,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2720 2022-11-23T01:37:54.4676974Z [2022-11-23 01:30:16,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.4677355Z [2022-11-23 01:30:16,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_not [TorchVariable()] 2022-11-23T01:37:54.4677689Z [2022-11-23 01:30:16,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:37:54.4678052Z [2022-11-23 01:30:16,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.4678326Z [2022-11-23 01:30:16,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2721 2022-11-23T01:37:54.4678566Z [2022-11-23 01:30:16,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:37:54.4678971Z [2022-11-23 01:30:16,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_or [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4679331Z [2022-11-23 01:30:16,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4679714Z [2022-11-23 01:30:16,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.4680136Z [2022-11-23 01:30:16,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4680437Z [2022-11-23 01:30:16,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2722 2022-11-23T01:37:54.4680715Z [2022-11-23 01:30:16,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4681151Z [2022-11-23 01:30:16,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_xor [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4681541Z [2022-11-23 01:30:16,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4681993Z [2022-11-23 01:30:16,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.4682448Z [2022-11-23 01:30:16,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4682718Z [2022-11-23 01:30:16,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2723 2022-11-23T01:37:54.4683025Z [2022-11-23 01:30:16,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4683488Z [2022-11-23 01:30:16,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bitwise_and [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4683891Z [2022-11-23 01:30:16,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4684336Z [2022-11-23 01:30:16,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.4684817Z [2022-11-23 01:30:16,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4685148Z [2022-11-23 01:30:16,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4685397Z [2022-11-23 01:30:16,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.4685733Z [2022-11-23 01:30:16,646] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.4685981Z [2022-11-23 01:30:16,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.4686218Z [2022-11-23 01:30:16,646] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.4686476Z [2022-11-23 01:30:16,648] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.4686729Z [2022-11-23 01:30:16,652] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.4686924Z [2022-11-23 01:30:16,652] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.4687045Z __compiled_fn_42 .276 opcode, name, target, args, kwargs 2022-11-23T01:37:54.4687134Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.4687218Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.4687497Z call_function, bitwise_not, , (ex_0_,), {} 2022-11-23T01:37:54.4687757Z call_function, bitwise_or, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.4688010Z call_function, bitwise_xor, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.4688262Z call_function, bitwise_and, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.4688410Z output, output, output, ((bitwise_not, bitwise_or, bitwise_xor, bitwise_and),), {} 2022-11-23T01:37:54.4688459Z 2022-11-23T01:37:54.4688741Z [2022-11-23 01:30:16,653] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4688824Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.4688913Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4689010Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.4689099Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.4689174Z 8 RETURN_VALUE 2022-11-23T01:37:54.4689180Z 2022-11-23T01:37:54.4689240Z 2022-11-23T01:37:54.4689516Z [2022-11-23 01:30:16,653] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4689628Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_42) 2022-11-23T01:37:54.4689704Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4689793Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4689872Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.4689959Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4690044Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.4690117Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.4690208Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.4690301Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4690400Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4690488Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4690564Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.4690664Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4690751Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:54.4690825Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.4690913Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4690999Z 32 LOAD_CONST 3 (2) 2022-11-23T01:37:54.4691076Z 34 BINARY_SUBSCR 2022-11-23T01:37:54.4691174Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4691260Z 38 LOAD_CONST 4 (3) 2022-11-23T01:37:54.4691334Z 40 BINARY_SUBSCR 2022-11-23T01:37:54.4691422Z 42 BUILD_TUPLE 4 2022-11-23T01:37:54.4691485Z 44 RETURN_VALUE 2022-11-23T01:37:54.4691490Z 2022-11-23T01:37:54.4691549Z 2022-11-23T01:37:54.4691734Z [2022-11-23 01:30:16,654] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.4691806Z - 2022-11-23T01:37:54.4691926Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.4691990Z { 2022-11-23T01:37:54.4692131Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.4692310Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.4692433Z 'obj_weakref': None 2022-11-23T01:37:54.4692664Z 'guarded_class': 2022-11-23T01:37:54.4692734Z } 2022-11-23T01:37:54.4692798Z 2022-11-23T01:37:54.4692870Z - 2022-11-23T01:37:54.4693001Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.4693051Z { 2022-11-23T01:37:54.4693198Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4693341Z 'code': None, 2022-11-23T01:37:54.4693561Z 'obj_weakref': 2022-11-23T01:37:54.4693819Z 'guarded_class': 2022-11-23T01:37:54.4693884Z } 2022-11-23T01:37:54.4693948Z 2022-11-23T01:37:54.4694005Z - 2022-11-23T01:37:54.4694130Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.4694195Z { 2022-11-23T01:37:54.4694346Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4694491Z 'code': None, 2022-11-23T01:37:54.4694706Z 'obj_weakref': 2022-11-23T01:37:54.4694964Z 'guarded_class': 2022-11-23T01:37:54.4695016Z } 2022-11-23T01:37:54.4695082Z 2022-11-23T01:37:54.4695158Z - 2022-11-23T01:37:54.4695293Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.4695359Z { 2022-11-23T01:37:54.4695497Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.4695671Z 'code': ['___check_obj_id(model, 140538744156672)'], 2022-11-23T01:37:54.4695781Z 'obj_weakref': None 2022-11-23T01:37:54.4696015Z 'guarded_class': 2022-11-23T01:37:54.4696080Z } 2022-11-23T01:37:54.4696145Z 2022-11-23T01:37:54.4696221Z - 2022-11-23T01:37:54.4696346Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.4696410Z { 2022-11-23T01:37:54.4696536Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.4696756Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.4696880Z 'obj_weakref': None 2022-11-23T01:37:54.4697105Z 'guarded_class': 2022-11-23T01:37:54.4697171Z } 2022-11-23T01:37:54.4697234Z 2022-11-23T01:37:54.4697306Z - 2022-11-23T01:37:54.4697431Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.4697495Z { 2022-11-23T01:37:54.4697616Z 'guard_types': None, 2022-11-23T01:37:54.4697726Z 'code': None, 2022-11-23T01:37:54.4697849Z 'obj_weakref': None 2022-11-23T01:37:54.4697977Z 'guarded_class': None 2022-11-23T01:37:54.4698044Z } 2022-11-23T01:37:54.4698094Z 2022-11-23T01:37:54.4698357Z [2022-11-23 01:30:16,662] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 41 2022-11-23T01:37:54.4698877Z [2022-11-23 01:30:18,037] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xm/cxmunjpjuj4ahf5j7wgblj7vzktkbsxpwbehojqbud6oe4ubtxgi.py 2022-11-23T01:37:54.4699226Z [2022-11-23 01:30:18,038] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 41 2022-11-23T01:37:54.4699232Z 2022-11-23T01:37:54.4699327Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.4699397Z import torch 2022-11-23T01:37:54.4699468Z import random 2022-11-23T01:37:54.4699586Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.4699695Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.4699701Z 2022-11-23T01:37:54.4699780Z aten = torch.ops.aten 2022-11-23T01:37:54.4699915Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.4700008Z async_compile = AsyncCompile() 2022-11-23T01:37:54.4700014Z 2022-11-23T01:37:54.4700018Z 2022-11-23T01:37:54.4700155Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.4700364Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.4700547Z extern "C" void kernel(const int* __restrict__ in_ptr0, 2022-11-23T01:37:54.4700653Z const int* __restrict__ in_ptr1, 2022-11-23T01:37:54.4700736Z int* __restrict__ out_ptr0, 2022-11-23T01:37:54.4700828Z int* __restrict__ out_ptr1, 2022-11-23T01:37:54.4700917Z int* __restrict__ out_ptr2, 2022-11-23T01:37:54.4701006Z int* __restrict__ out_ptr3) 2022-11-23T01:37:54.4701066Z { 2022-11-23T01:37:54.4701143Z #pragma GCC ivdep 2022-11-23T01:37:54.4701224Z for(long i0=0; i0<64; i0+=1) 2022-11-23T01:37:54.4701272Z { 2022-11-23T01:37:54.4701371Z { 2022-11-23T01:37:54.4701436Z { 2022-11-23T01:37:54.4701524Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.4701611Z auto tmp2 = in_ptr1[i0]; 2022-11-23T01:37:54.4701694Z auto tmp1 = ~tmp0; 2022-11-23T01:37:54.4701781Z auto tmp3 = tmp0 | tmp2; 2022-11-23T01:37:54.4701855Z auto tmp4 = tmp0 ^ tmp2; 2022-11-23T01:37:54.4701941Z auto tmp5 = tmp0 & tmp2; 2022-11-23T01:37:54.4702022Z out_ptr0[i0] = tmp1; 2022-11-23T01:37:54.4702101Z out_ptr1[i0] = tmp3; 2022-11-23T01:37:54.4702181Z out_ptr2[i0] = tmp4; 2022-11-23T01:37:54.4702257Z out_ptr3[i0] = tmp5; 2022-11-23T01:37:54.4702320Z } 2022-11-23T01:37:54.4702371Z } 2022-11-23T01:37:54.4702431Z } 2022-11-23T01:37:54.4702489Z } 2022-11-23T01:37:54.4702572Z ''') 2022-11-23T01:37:54.4702577Z 2022-11-23T01:37:54.4702581Z 2022-11-23T01:37:54.4702671Z async_compile.wait(globals()) 2022-11-23T01:37:54.4702744Z del async_compile 2022-11-23T01:37:54.4702750Z 2022-11-23T01:37:54.4702825Z def call(args): 2022-11-23T01:37:54.4702886Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.4702957Z args.clear() 2022-11-23T01:37:54.4703153Z buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:37:54.4703350Z buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:37:54.4703540Z buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:37:54.4703729Z buf3 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:37:54.4703967Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr())) 2022-11-23T01:37:54.4704022Z del arg0_1 2022-11-23T01:37:54.4704087Z del arg1_1 2022-11-23T01:37:54.4704174Z return (buf0, buf1, buf2, buf3, ) 2022-11-23T01:37:54.4704182Z 2022-11-23T01:37:54.4704186Z 2022-11-23T01:37:54.4704263Z if __name__ == "__main__": 2022-11-23T01:37:54.4704378Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.4704500Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.4704695Z arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:37:54.4704890Z arg1_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:37:54.4704993Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.4705010Z 2022-11-23T01:37:54.4705063Z ok (1.406s) 2022-11-23T01:37:54.4705365Z test_bmm1_cpu (__main__.CpuTests) ... [2022-11-23 01:30:18,046] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.4705638Z [2022-11-23 01:30:18,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.4705859Z [2022-11-23 01:30:18,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.4706119Z [2022-11-23 01:30:18,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.4706405Z [2022-11-23 01:30:18,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.4706764Z [2022-11-23 01:30:18,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.4707097Z [2022-11-23 01:30:18,046] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.4707194Z 1369 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.4707274Z 2 LOAD_METHOD 1 (bmm) 2022-11-23T01:37:54.4707363Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.4707453Z 6 LOAD_FAST 1 (b) 2022-11-23T01:37:54.4707578Z 8 CALL_METHOD 2 2022-11-23T01:37:54.4707583Z 2022-11-23T01:37:54.4707678Z 1370 10 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.4707770Z 12 LOAD_METHOD 1 (bmm) 2022-11-23T01:37:54.4707857Z 14 LOAD_FAST 0 (a) 2022-11-23T01:37:54.4707934Z 16 LOAD_CONST 1 (1) 2022-11-23T01:37:54.4708006Z 18 BINARY_ADD 2022-11-23T01:37:54.4708093Z 20 LOAD_FAST 1 (b) 2022-11-23T01:37:54.4708264Z 22 LOAD_CONST 2 (2) 2022-11-23T01:37:54.4708339Z 24 BINARY_ADD 2022-11-23T01:37:54.4708426Z 26 CALL_METHOD 2 2022-11-23T01:37:54.4708514Z 28 LOAD_CONST 3 (3) 2022-11-23T01:37:54.4708572Z 30 BINARY_ADD 2022-11-23T01:37:54.4708660Z 32 BUILD_TUPLE 2 2022-11-23T01:37:54.4708735Z 34 RETURN_VALUE 2022-11-23T01:37:54.4708799Z 2022-11-23T01:37:54.4708805Z 2022-11-23T01:37:54.4709081Z [2022-11-23 01:30:18,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1369 2022-11-23T01:37:54.4709306Z [2022-11-23 01:30:18,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.4709678Z [2022-11-23 01:30:18,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bmm [TorchVariable()] 2022-11-23T01:37:54.4710002Z [2022-11-23 01:30:18,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:54.4710350Z [2022-11-23 01:30:18,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.4710718Z [2022-11-23 01:30:18,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4710989Z [2022-11-23 01:30:18,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1370 2022-11-23T01:37:54.4711242Z [2022-11-23 01:30:18,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:37:54.4711637Z [2022-11-23 01:30:18,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bmm [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4711984Z [2022-11-23 01:30:18,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4712364Z [2022-11-23 01:30:18,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.4712788Z [2022-11-23 01:30:18,049] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4713194Z [2022-11-23 01:30:18,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.4713603Z [2022-11-23 01:30:18,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4714050Z [2022-11-23 01:30:18,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4714527Z [2022-11-23 01:30:18,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4714798Z [2022-11-23 01:30:18,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4715113Z [2022-11-23 01:30:18,052] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4715382Z [2022-11-23 01:30:18,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4715618Z [2022-11-23 01:30:18,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.4715951Z [2022-11-23 01:30:18,053] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.4716202Z [2022-11-23 01:30:18,053] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.4716440Z [2022-11-23 01:30:18,053] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.4716701Z [2022-11-23 01:30:18,054] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.4716954Z [2022-11-23 01:30:18,059] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.4717148Z [2022-11-23 01:30:18,059] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.4717285Z __compiled_fn_43 .282 opcode, name, target, args, kwargs 2022-11-23T01:37:54.4717375Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.4717448Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.4717679Z call_function, bmm, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.4717858Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:54.4718036Z call_function, add_1, , (ex_1_, 2), {} 2022-11-23T01:37:54.4718265Z call_function, bmm_1, , (add, add_1), {} 2022-11-23T01:37:54.4718444Z call_function, add_2, , (bmm_1, 3), {} 2022-11-23T01:37:54.4718547Z output, output, output, ((bmm, add_2),), {} 2022-11-23T01:37:54.4718552Z 2022-11-23T01:37:54.4718829Z [2022-11-23 01:30:18,060] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4718911Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.4719002Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4719092Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.4719182Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.4719256Z 8 RETURN_VALUE 2022-11-23T01:37:54.4719264Z 2022-11-23T01:37:54.4719322Z 2022-11-23T01:37:54.4719599Z [2022-11-23 01:30:18,060] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4719694Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_43) 2022-11-23T01:37:54.4719782Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4719900Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4719979Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.4720068Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4720154Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.4720227Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.4720304Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.4720405Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4720505Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4720621Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4720697Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.4720797Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4720883Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:54.4720957Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.4721034Z 30 BUILD_TUPLE 2 2022-11-23T01:37:54.4721109Z 32 RETURN_VALUE 2022-11-23T01:37:54.4721115Z 2022-11-23T01:37:54.4721174Z 2022-11-23T01:37:54.4721362Z [2022-11-23 01:30:18,061] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.4721433Z - 2022-11-23T01:37:54.4721554Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.4721616Z { 2022-11-23T01:37:54.4721745Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.4721933Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.4722054Z 'obj_weakref': None 2022-11-23T01:37:54.4722283Z 'guarded_class': 2022-11-23T01:37:54.4722346Z } 2022-11-23T01:37:54.4722407Z 2022-11-23T01:37:54.4722476Z - 2022-11-23T01:37:54.4722589Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.4722652Z { 2022-11-23T01:37:54.4722798Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4722908Z 'code': None, 2022-11-23T01:37:54.4723123Z 'obj_weakref': 2022-11-23T01:37:54.4723377Z 'guarded_class': 2022-11-23T01:37:54.4723440Z } 2022-11-23T01:37:54.4723490Z 2022-11-23T01:37:54.4723558Z - 2022-11-23T01:37:54.4723681Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.4723744Z { 2022-11-23T01:37:54.4723888Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4723999Z 'code': None, 2022-11-23T01:37:54.4724210Z 'obj_weakref': 2022-11-23T01:37:54.4724453Z 'guarded_class': 2022-11-23T01:37:54.4724516Z } 2022-11-23T01:37:54.4724579Z 2022-11-23T01:37:54.4724648Z - 2022-11-23T01:37:54.4724781Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.4724843Z { 2022-11-23T01:37:54.4724980Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.4725138Z 'code': ['___check_obj_id(model, 140538747166944)'], 2022-11-23T01:37:54.4725259Z 'obj_weakref': None 2022-11-23T01:37:54.4725490Z 'guarded_class': 2022-11-23T01:37:54.4725553Z } 2022-11-23T01:37:54.4725617Z 2022-11-23T01:37:54.4725687Z - 2022-11-23T01:37:54.4725812Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.4725863Z { 2022-11-23T01:37:54.4726003Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.4726222Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.4726370Z 'obj_weakref': None 2022-11-23T01:37:54.4726596Z 'guarded_class': 2022-11-23T01:37:54.4726658Z } 2022-11-23T01:37:54.4726718Z 2022-11-23T01:37:54.4726776Z - 2022-11-23T01:37:54.4726910Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.4726971Z { 2022-11-23T01:37:54.4727091Z 'guard_types': None, 2022-11-23T01:37:54.4727199Z 'code': None, 2022-11-23T01:37:54.4727318Z 'obj_weakref': None 2022-11-23T01:37:54.4727441Z 'guarded_class': None 2022-11-23T01:37:54.4727526Z } 2022-11-23T01:37:54.4727590Z 2022-11-23T01:37:54.4727850Z [2022-11-23 01:30:18,069] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 42 2022-11-23T01:37:54.4728222Z [2022-11-23 01:30:19,571] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/td/ctd6a6kahf4rjl4radwviys25r4etyelt6sscqldxsoeoqw3qurb.py 2022-11-23T01:37:54.4728488Z [2022-11-23 01:30:19,572] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 42 2022-11-23T01:37:54.4728731Z [2022-11-23 01:30:19,578] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.4729000Z [2022-11-23 01:30:19,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.4729221Z [2022-11-23 01:30:19,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.4729465Z [2022-11-23 01:30:19,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.4729755Z [2022-11-23 01:30:19,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.4730083Z [2022-11-23 01:30:19,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.4730412Z [2022-11-23 01:30:19,579] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.4730509Z 1369 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.4730602Z 2 LOAD_METHOD 1 (bmm) 2022-11-23T01:37:54.4730694Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.4730782Z 6 LOAD_FAST 1 (b) 2022-11-23T01:37:54.4730858Z 8 CALL_METHOD 2 2022-11-23T01:37:54.4730878Z 2022-11-23T01:37:54.4730958Z 1370 10 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.4731048Z 12 LOAD_METHOD 1 (bmm) 2022-11-23T01:37:54.4731135Z 14 LOAD_FAST 0 (a) 2022-11-23T01:37:54.4731222Z 16 LOAD_CONST 1 (1) 2022-11-23T01:37:54.4731293Z 18 BINARY_ADD 2022-11-23T01:37:54.4731382Z 20 LOAD_FAST 1 (b) 2022-11-23T01:37:54.4731466Z 22 LOAD_CONST 2 (2) 2022-11-23T01:37:54.4731525Z 24 BINARY_ADD 2022-11-23T01:37:54.4731612Z 26 CALL_METHOD 2 2022-11-23T01:37:54.4731699Z 28 LOAD_CONST 3 (3) 2022-11-23T01:37:54.4731772Z 30 BINARY_ADD 2022-11-23T01:37:54.4731860Z 32 BUILD_TUPLE 2 2022-11-23T01:37:54.4731939Z 34 RETURN_VALUE 2022-11-23T01:37:54.4731999Z 2022-11-23T01:37:54.4732004Z 2022-11-23T01:37:54.4732265Z [2022-11-23 01:30:19,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1369 2022-11-23T01:37:54.4732486Z [2022-11-23 01:30:19,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.4732877Z [2022-11-23 01:30:19,579] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bmm [TorchVariable()] 2022-11-23T01:37:54.4733200Z [2022-11-23 01:30:19,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:54.4733546Z [2022-11-23 01:30:19,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.4733926Z [2022-11-23 01:30:19,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4734246Z [2022-11-23 01:30:19,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1370 2022-11-23T01:37:54.4734502Z [2022-11-23 01:30:19,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:37:54.4734897Z [2022-11-23 01:30:19,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bmm [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4735240Z [2022-11-23 01:30:19,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4735619Z [2022-11-23 01:30:19,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.4736037Z [2022-11-23 01:30:19,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4736403Z [2022-11-23 01:30:19,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.4736807Z [2022-11-23 01:30:19,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4737257Z [2022-11-23 01:30:19,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4737668Z [2022-11-23 01:30:19,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4737942Z [2022-11-23 01:30:19,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4738255Z [2022-11-23 01:30:19,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4738528Z [2022-11-23 01:30:19,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4738929Z [2022-11-23 01:30:19,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.4739338Z [2022-11-23 01:30:19,585] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.4739589Z [2022-11-23 01:30:19,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.4739832Z [2022-11-23 01:30:19,585] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.4740090Z [2022-11-23 01:30:19,587] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.4740382Z [2022-11-23 01:30:19,593] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.4740579Z [2022-11-23 01:30:19,594] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.4740714Z __compiled_fn_44 .288 opcode, name, target, args, kwargs 2022-11-23T01:37:54.4740804Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.4740891Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.4741124Z call_function, bmm, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.4741299Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:54.4741508Z call_function, add_1, , (ex_1_, 2), {} 2022-11-23T01:37:54.4741741Z call_function, bmm_1, , (add, add_1), {} 2022-11-23T01:37:54.4741918Z call_function, add_2, , (bmm_1, 3), {} 2022-11-23T01:37:54.4742023Z output, output, output, ((bmm, add_2),), {} 2022-11-23T01:37:54.4742030Z 2022-11-23T01:37:54.4742315Z [2022-11-23 01:30:19,594] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4742410Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.4742501Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4742596Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.4742674Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.4742752Z 8 RETURN_VALUE 2022-11-23T01:37:54.4742757Z 2022-11-23T01:37:54.4742820Z 2022-11-23T01:37:54.4743100Z [2022-11-23 01:30:19,594] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4743209Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_44) 2022-11-23T01:37:54.4743299Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4743389Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4743470Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.4743547Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4743634Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.4743710Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.4743800Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.4743904Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4744005Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4744094Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4744157Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.4744261Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4744350Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:54.4744426Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.4744514Z 30 BUILD_TUPLE 2 2022-11-23T01:37:54.4744592Z 32 RETURN_VALUE 2022-11-23T01:37:54.4744597Z 2022-11-23T01:37:54.4744660Z 2022-11-23T01:37:54.4744833Z [2022-11-23 01:30:19,595] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.4744905Z - 2022-11-23T01:37:54.4745023Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.4745089Z { 2022-11-23T01:37:54.4745234Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.4745426Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.4745549Z 'obj_weakref': None 2022-11-23T01:37:54.4745780Z 'guarded_class': 2022-11-23T01:37:54.4745837Z } 2022-11-23T01:37:54.4745898Z 2022-11-23T01:37:54.4745970Z - 2022-11-23T01:37:54.4746096Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.4746158Z { 2022-11-23T01:37:54.4746301Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4746397Z 'code': None, 2022-11-23T01:37:54.4746640Z 'obj_weakref': 2022-11-23T01:37:54.4746900Z 'guarded_class': 2022-11-23T01:37:54.4746964Z } 2022-11-23T01:37:54.4747027Z 2022-11-23T01:37:54.4747097Z - 2022-11-23T01:37:54.4747226Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.4747278Z { 2022-11-23T01:37:54.4747422Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4747530Z 'code': None, 2022-11-23T01:37:54.4747786Z 'obj_weakref': 2022-11-23T01:37:54.4748040Z 'guarded_class': 2022-11-23T01:37:54.4748180Z } 2022-11-23T01:37:54.4748251Z 2022-11-23T01:37:54.4748312Z - 2022-11-23T01:37:54.4748447Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.4748511Z { 2022-11-23T01:37:54.4748649Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.4748823Z 'code': ['___check_obj_id(model, 140538747166944)'], 2022-11-23T01:37:54.4748945Z 'obj_weakref': None 2022-11-23T01:37:54.4749181Z 'guarded_class': 2022-11-23T01:37:54.4749246Z } 2022-11-23T01:37:54.4749298Z 2022-11-23T01:37:54.4749369Z - 2022-11-23T01:37:54.4749493Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.4749562Z { 2022-11-23T01:37:54.4749703Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.4749927Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.4750035Z 'obj_weakref': None 2022-11-23T01:37:54.4750262Z 'guarded_class': 2022-11-23T01:37:54.4750326Z } 2022-11-23T01:37:54.4750391Z 2022-11-23T01:37:54.4750462Z - 2022-11-23T01:37:54.4750598Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.4750662Z { 2022-11-23T01:37:54.4750772Z 'guard_types': None, 2022-11-23T01:37:54.4750880Z 'code': None, 2022-11-23T01:37:54.4750999Z 'obj_weakref': None 2022-11-23T01:37:54.4751121Z 'guarded_class': None 2022-11-23T01:37:54.4751184Z } 2022-11-23T01:37:54.4751249Z 2022-11-23T01:37:54.4751515Z [2022-11-23 01:30:19,604] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 43 2022-11-23T01:37:54.4751879Z [2022-11-23 01:30:21,174] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/a4/ca4pcfwprngjqo35rkes7sodt6swekhdvmjnst7npthnbza4iu2z.py 2022-11-23T01:37:54.4752146Z [2022-11-23 01:30:21,174] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 43 2022-11-23T01:37:54.4752153Z 2022-11-23T01:37:54.4752246Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.4752314Z import torch 2022-11-23T01:37:54.4752382Z import random 2022-11-23T01:37:54.4752495Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.4752616Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.4752622Z 2022-11-23T01:37:54.4752699Z aten = torch.ops.aten 2022-11-23T01:37:54.4752821Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.4752912Z async_compile = AsyncCompile() 2022-11-23T01:37:54.4752920Z 2022-11-23T01:37:54.4752925Z 2022-11-23T01:37:54.4753060Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.4753264Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.4753382Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.4753533Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.4753635Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.4753729Z float* __restrict__ out_ptr1) 2022-11-23T01:37:54.4753777Z { 2022-11-23T01:37:54.4753857Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:37:54.4753916Z { 2022-11-23T01:37:54.4754062Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:54.4754192Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:54.4754275Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.4754394Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.4754446Z } 2022-11-23T01:37:54.4754531Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.4754611Z for(long i0=128; i0<128; i0+=1) 2022-11-23T01:37:54.4754672Z { 2022-11-23T01:37:54.4754752Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.4754849Z auto tmp1 = static_cast(1); 2022-11-23T01:37:54.4754931Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.4754995Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:54.4755055Z } 2022-11-23T01:37:54.4755130Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:37:54.4755189Z { 2022-11-23T01:37:54.4755317Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:54.4755448Z auto tmp1 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:37:54.4755528Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.4755601Z tmp2.store(out_ptr1 + 8*i0); 2022-11-23T01:37:54.4755660Z } 2022-11-23T01:37:54.4755748Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.4755830Z for(long i0=128; i0<128; i0+=1) 2022-11-23T01:37:54.4755889Z { 2022-11-23T01:37:54.4755970Z auto tmp0 = in_ptr1[i0]; 2022-11-23T01:37:54.4756066Z auto tmp1 = static_cast(2); 2022-11-23T01:37:54.4756135Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.4756210Z out_ptr1[i0] = tmp2; 2022-11-23T01:37:54.4756271Z } 2022-11-23T01:37:54.4756335Z } 2022-11-23T01:37:54.4756416Z ''') 2022-11-23T01:37:54.4756422Z 2022-11-23T01:37:54.4756426Z 2022-11-23T01:37:54.4756560Z kernel_cpp_1 = async_compile.cpp(''' 2022-11-23T01:37:54.4756767Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.4756871Z extern "C" void kernel(float* __restrict__ in_out_ptr0) 2022-11-23T01:37:54.4756930Z { 2022-11-23T01:37:54.4757007Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:37:54.4757069Z { 2022-11-23T01:37:54.4757203Z auto tmp0 = at::vec::Vectorized::loadu(in_out_ptr0 + 8*i0); 2022-11-23T01:37:54.4757337Z auto tmp1 = at::vec::Vectorized(static_cast(3)); 2022-11-23T01:37:54.4757417Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.4757504Z tmp2.store(in_out_ptr0 + 8*i0); 2022-11-23T01:37:54.4757551Z } 2022-11-23T01:37:54.4757637Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.4757717Z for(long i0=128; i0<128; i0+=1) 2022-11-23T01:37:54.4757777Z { 2022-11-23T01:37:54.4757860Z auto tmp0 = in_out_ptr0[i0]; 2022-11-23T01:37:54.4757955Z auto tmp1 = static_cast(3); 2022-11-23T01:37:54.4758022Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.4758102Z in_out_ptr0[i0] = tmp2; 2022-11-23T01:37:54.4758161Z } 2022-11-23T01:37:54.4758220Z } 2022-11-23T01:37:54.4758300Z ''') 2022-11-23T01:37:54.4758305Z 2022-11-23T01:37:54.4758310Z 2022-11-23T01:37:54.4758397Z async_compile.wait(globals()) 2022-11-23T01:37:54.4758468Z del async_compile 2022-11-23T01:37:54.4758473Z 2022-11-23T01:37:54.4758545Z def call(args): 2022-11-23T01:37:54.4758606Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.4758676Z args.clear() 2022-11-23T01:37:54.4758881Z buf0 = empty_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4758976Z aten.bmm.out(arg0_1, arg1_1, out=buf0) 2022-11-23T01:37:54.4759211Z buf1 = empty_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4759414Z buf2 = empty_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4759604Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:37:54.4759659Z del arg0_1 2022-11-23T01:37:54.4759724Z del arg1_1 2022-11-23T01:37:54.4759928Z buf3 = empty_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4760021Z aten.bmm.out(buf1, buf2, out=buf3) 2022-11-23T01:37:54.4760086Z del buf1 2022-11-23T01:37:54.4760181Z del buf2 2022-11-23T01:37:54.4760267Z buf4 = buf3; del buf3 # reuse 2022-11-23T01:37:54.4760362Z kernel_cpp_1(c_void_p(buf4.data_ptr())) 2022-11-23T01:37:54.4760440Z return (buf0, buf4, ) 2022-11-23T01:37:54.4760445Z 2022-11-23T01:37:54.4760449Z 2022-11-23T01:37:54.4760524Z if __name__ == "__main__": 2022-11-23T01:37:54.4760640Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.4760762Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.4760971Z arg0_1 = rand_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4761173Z arg1_1 = rand_strided((2, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4761288Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.4761293Z 2022-11-23T01:37:54.4761297Z 2022-11-23T01:37:54.4761388Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.4761444Z import torch 2022-11-23T01:37:54.4761512Z import random 2022-11-23T01:37:54.4761627Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.4761747Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.4761752Z 2022-11-23T01:37:54.4761828Z aten = torch.ops.aten 2022-11-23T01:37:54.4761961Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.4762050Z async_compile = AsyncCompile() 2022-11-23T01:37:54.4762057Z 2022-11-23T01:37:54.4762061Z 2022-11-23T01:37:54.4762183Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.4762388Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.4762507Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.4762609Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.4762709Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.4762804Z float* __restrict__ out_ptr1) 2022-11-23T01:37:54.4762863Z { 2022-11-23T01:37:54.4762948Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:37:54.4762995Z { 2022-11-23T01:37:54.4763128Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:54.4763258Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:54.4763343Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.4763431Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.4763492Z } 2022-11-23T01:37:54.4763580Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.4763648Z for(long i0=128; i0<128; i0+=1) 2022-11-23T01:37:54.4763708Z { 2022-11-23T01:37:54.4763787Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.4763882Z auto tmp1 = static_cast(1); 2022-11-23T01:37:54.4763960Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.4764036Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:54.4764095Z } 2022-11-23T01:37:54.4764160Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:54.4764220Z { 2022-11-23T01:37:54.4764349Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:54.4764482Z auto tmp1 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:37:54.4764562Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.4764648Z tmp2.store(out_ptr1 + 8*i0); 2022-11-23T01:37:54.4764706Z } 2022-11-23T01:37:54.4764779Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.4764892Z for(long i0=80; i0<80; i0+=1) 2022-11-23T01:37:54.4764953Z { 2022-11-23T01:37:54.4765033Z auto tmp0 = in_ptr1[i0]; 2022-11-23T01:37:54.4765127Z auto tmp1 = static_cast(2); 2022-11-23T01:37:54.4765206Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.4765282Z out_ptr1[i0] = tmp2; 2022-11-23T01:37:54.4765329Z } 2022-11-23T01:37:54.4765388Z } 2022-11-23T01:37:54.4765468Z ''') 2022-11-23T01:37:54.4765473Z 2022-11-23T01:37:54.4765477Z 2022-11-23T01:37:54.4765612Z kernel_cpp_1 = async_compile.cpp(''' 2022-11-23T01:37:54.4765818Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.4765967Z extern "C" void kernel(float* __restrict__ in_out_ptr0) 2022-11-23T01:37:54.4766025Z { 2022-11-23T01:37:54.4766092Z for(long i0=0; i0<20; i0+=1) 2022-11-23T01:37:54.4766152Z { 2022-11-23T01:37:54.4766285Z auto tmp0 = at::vec::Vectorized::loadu(in_out_ptr0 + 8*i0); 2022-11-23T01:37:54.4766417Z auto tmp1 = at::vec::Vectorized(static_cast(3)); 2022-11-23T01:37:54.4766499Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.4766588Z tmp2.store(in_out_ptr0 + 8*i0); 2022-11-23T01:37:54.4766647Z } 2022-11-23T01:37:54.4766720Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.4766800Z for(long i0=160; i0<160; i0+=1) 2022-11-23T01:37:54.4766860Z { 2022-11-23T01:37:54.4766944Z auto tmp0 = in_out_ptr0[i0]; 2022-11-23T01:37:54.4767039Z auto tmp1 = static_cast(3); 2022-11-23T01:37:54.4767120Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.4767203Z in_out_ptr0[i0] = tmp2; 2022-11-23T01:37:54.4767250Z } 2022-11-23T01:37:54.4767308Z } 2022-11-23T01:37:54.4767387Z ''') 2022-11-23T01:37:54.4767392Z 2022-11-23T01:37:54.4767397Z 2022-11-23T01:37:54.4767483Z async_compile.wait(globals()) 2022-11-23T01:37:54.4767557Z del async_compile 2022-11-23T01:37:54.4767561Z 2022-11-23T01:37:54.4767632Z def call(args): 2022-11-23T01:37:54.4767708Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.4767766Z args.clear() 2022-11-23T01:37:54.4767977Z buf0 = empty_strided((1, 16, 10), (160, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4768141Z aten.mm.out(as_strided(arg0_1, (16, 8), (8, 1)), as_strided(arg1_1, (8, 10), (10, 1)), out=as_strided(buf0, (16, 10), (10, 1))) 2022-11-23T01:37:54.4768350Z buf1 = empty_strided((1, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4768555Z buf2 = empty_strided((1, 8, 10), (80, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4768745Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:37:54.4768811Z del arg0_1 2022-11-23T01:37:54.4768877Z del arg1_1 2022-11-23T01:37:54.4769073Z buf3 = empty_strided((1, 16, 10), (160, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4769237Z aten.mm.out(as_strided(buf1, (16, 8), (8, 1)), as_strided(buf2, (8, 10), (10, 1)), out=as_strided(buf3, (16, 10), (10, 1))) 2022-11-23T01:37:54.4769303Z del buf1 2022-11-23T01:37:54.4769365Z del buf2 2022-11-23T01:37:54.4769449Z buf4 = buf3; del buf3 # reuse 2022-11-23T01:37:54.4769550Z kernel_cpp_1(c_void_p(buf4.data_ptr())) 2022-11-23T01:37:54.4769625Z return (buf0, buf4, ) 2022-11-23T01:37:54.4769630Z 2022-11-23T01:37:54.4769634Z 2022-11-23T01:37:54.4769708Z if __name__ == "__main__": 2022-11-23T01:37:54.4769808Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.4769929Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.4770139Z arg0_1 = rand_strided((1, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4770340Z arg1_1 = rand_strided((1, 8, 10), (80, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4770456Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.4770461Z 2022-11-23T01:37:54.4770557Z ok (3.137s) 2022-11-23T01:37:54.4770867Z test_bmm2_cpu (__main__.CpuTests) ... [2022-11-23 01:30:21,183] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.4771142Z [2022-11-23 01:30:21,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.4771353Z [2022-11-23 01:30:21,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.4771615Z [2022-11-23 01:30:21,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.4771943Z [2022-11-23 01:30:21,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.4772274Z [2022-11-23 01:30:21,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.4772610Z [2022-11-23 01:30:21,183] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.4772709Z 1392 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.4772804Z 2 LOAD_METHOD 1 (bmm) 2022-11-23T01:37:54.4772896Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.4773001Z 6 LOAD_METHOD 2 (permute) 2022-11-23T01:37:54.4773078Z 8 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4773168Z 10 LOAD_CONST 2 (2) 2022-11-23T01:37:54.4773257Z 12 LOAD_CONST 3 (1) 2022-11-23T01:37:54.4773350Z 14 CALL_METHOD 3 2022-11-23T01:37:54.4773439Z 16 LOAD_FAST 1 (b) 2022-11-23T01:37:54.4773527Z 18 CALL_METHOD 2 2022-11-23T01:37:54.4773605Z 20 RETURN_VALUE 2022-11-23T01:37:54.4773652Z 2022-11-23T01:37:54.4773657Z 2022-11-23T01:37:54.4773933Z [2022-11-23 01:30:21,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1392 2022-11-23T01:37:54.4774157Z [2022-11-23 01:30:21,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.4774526Z [2022-11-23 01:30:21,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bmm [TorchVariable()] 2022-11-23T01:37:54.4774851Z [2022-11-23 01:30:21,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:54.4775215Z [2022-11-23 01:30:21,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR permute [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.4775609Z [2022-11-23 01:30:21,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(), GetAttrVariable(TensorVariable(), permute)] 2022-11-23T01:37:54.4776044Z [2022-11-23 01:30:21,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(), GetAttrVariable(TensorVariable(), permute), ConstantVariable(int)] 2022-11-23T01:37:54.4776510Z [2022-11-23 01:30:21,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(), GetAttrVariable(TensorVariable(), permute), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4777019Z [2022-11-23 01:30:21,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(), GetAttrVariable(TensorVariable(), permute), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4777401Z [2022-11-23 01:30:21,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.4777787Z [2022-11-23 01:30:21,186] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4778039Z [2022-11-23 01:30:21,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.4778357Z [2022-11-23 01:30:21,187] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.4778658Z [2022-11-23 01:30:21,187] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.4779107Z [2022-11-23 01:30:21,187] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.4779378Z [2022-11-23 01:30:21,188] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.4779634Z [2022-11-23 01:30:21,191] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.4779826Z [2022-11-23 01:30:21,192] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.4779962Z __compiled_fn_45 .294 opcode, name, target, args, kwargs 2022-11-23T01:37:54.4780054Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.4780128Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.4780240Z call_method, permute, permute, (ex_0_, 0, 2, 1), {} 2022-11-23T01:37:54.4780477Z call_function, bmm, , (permute, ex_1_), {} 2022-11-23T01:37:54.4780578Z output, output, output, ((bmm,),), {} 2022-11-23T01:37:54.4780583Z 2022-11-23T01:37:54.4780866Z [2022-11-23 01:30:21,192] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4780962Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.4781058Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4781153Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.4781230Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.4781308Z 8 RETURN_VALUE 2022-11-23T01:37:54.4781314Z 2022-11-23T01:37:54.4781375Z 2022-11-23T01:37:54.4781652Z [2022-11-23 01:30:21,192] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4781764Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_45) 2022-11-23T01:37:54.4781855Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4781947Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4782021Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.4782096Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4782181Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.4782255Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.4782344Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.4782434Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.4782506Z 18 RETURN_VALUE 2022-11-23T01:37:54.4782511Z 2022-11-23T01:37:54.4782568Z 2022-11-23T01:37:54.4782739Z [2022-11-23 01:30:21,193] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.4782810Z - 2022-11-23T01:37:54.4782929Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.4782996Z { 2022-11-23T01:37:54.4783138Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.4783327Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.4783451Z 'obj_weakref': None 2022-11-23T01:37:54.4783664Z 'guarded_class': 2022-11-23T01:37:54.4783727Z } 2022-11-23T01:37:54.4783789Z 2022-11-23T01:37:54.4783859Z - 2022-11-23T01:37:54.4784043Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.4784108Z { 2022-11-23T01:37:54.4784255Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4784351Z 'code': None, 2022-11-23T01:37:54.4784565Z 'obj_weakref': 2022-11-23T01:37:54.4784821Z 'guarded_class': 2022-11-23T01:37:54.4784886Z } 2022-11-23T01:37:54.4784948Z 2022-11-23T01:37:54.4785019Z - 2022-11-23T01:37:54.4785188Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.4785239Z { 2022-11-23T01:37:54.4785386Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4785496Z 'code': None, 2022-11-23T01:37:54.4785710Z 'obj_weakref': 2022-11-23T01:37:54.4785967Z 'guarded_class': 2022-11-23T01:37:54.4786032Z } 2022-11-23T01:37:54.4786094Z 2022-11-23T01:37:54.4786153Z - 2022-11-23T01:37:54.4786284Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.4786346Z { 2022-11-23T01:37:54.4786481Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.4786652Z 'code': ['___check_obj_id(model, 140538747169536)'], 2022-11-23T01:37:54.4786773Z 'obj_weakref': None 2022-11-23T01:37:54.4787007Z 'guarded_class': 2022-11-23T01:37:54.4787059Z } 2022-11-23T01:37:54.4787121Z 2022-11-23T01:37:54.4787192Z - 2022-11-23T01:37:54.4787316Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.4787379Z { 2022-11-23T01:37:54.4787519Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.4787741Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.4787849Z 'obj_weakref': None 2022-11-23T01:37:54.4788070Z 'guarded_class': 2022-11-23T01:37:54.4788207Z } 2022-11-23T01:37:54.4788277Z 2022-11-23T01:37:54.4788352Z - 2022-11-23T01:37:54.4788489Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.4788553Z { 2022-11-23T01:37:54.4788664Z 'guard_types': None, 2022-11-23T01:37:54.4788772Z 'code': None, 2022-11-23T01:37:54.4788896Z 'obj_weakref': None 2022-11-23T01:37:54.4789019Z 'guarded_class': None 2022-11-23T01:37:54.4789083Z } 2022-11-23T01:37:54.4789147Z 2022-11-23T01:37:54.4789409Z [2022-11-23 01:30:21,199] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 44 2022-11-23T01:37:54.4789771Z [2022-11-23 01:30:21,202] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/d3/cd3gwhzvxithzo666ro2erxgfvvearf4fkggfxxaauv2nzqvov2f.py 2022-11-23T01:37:54.4790040Z [2022-11-23 01:30:21,203] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 44 2022-11-23T01:37:54.4790047Z 2022-11-23T01:37:54.4790144Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.4790214Z import torch 2022-11-23T01:37:54.4790284Z import random 2022-11-23T01:37:54.4790398Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.4790519Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.4790526Z 2022-11-23T01:37:54.4790605Z aten = torch.ops.aten 2022-11-23T01:37:54.4790726Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.4790817Z async_compile = AsyncCompile() 2022-11-23T01:37:54.4790823Z 2022-11-23T01:37:54.4790827Z 2022-11-23T01:37:54.4790914Z async_compile.wait(globals()) 2022-11-23T01:37:54.4791025Z del async_compile 2022-11-23T01:37:54.4791031Z 2022-11-23T01:37:54.4791105Z def call(args): 2022-11-23T01:37:54.4791181Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.4791251Z args.clear() 2022-11-23T01:37:54.4791458Z buf0 = empty_strided((1, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4791608Z aten.mm.out(as_strided(arg0_1, (8, 8), (1, 8)), as_strided(arg1_1, (8, 8), (8, 1)), out=as_strided(buf0, (8, 8), (8, 1))) 2022-11-23T01:37:54.4791675Z del arg0_1 2022-11-23T01:37:54.4791741Z del arg1_1 2022-11-23T01:37:54.4791810Z return (buf0, ) 2022-11-23T01:37:54.4791849Z 2022-11-23T01:37:54.4791853Z 2022-11-23T01:37:54.4791932Z if __name__ == "__main__": 2022-11-23T01:37:54.4792046Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.4792167Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.4792379Z arg0_1 = rand_strided((1, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4792570Z arg1_1 = rand_strided((1, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4792691Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.4792696Z 2022-11-23T01:37:54.4792763Z ok (0.026s) 2022-11-23T01:37:54.4793065Z test_bool_cpu (__main__.CpuTests) ... [2022-11-23 01:30:21,207] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.4793340Z [2022-11-23 01:30:21,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.4793561Z [2022-11-23 01:30:21,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.4793820Z [2022-11-23 01:30:21,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.4794110Z [2022-11-23 01:30:21,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.4794440Z [2022-11-23 01:30:21,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.4794759Z [2022-11-23 01:30:21,208] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.4794850Z 623 0 LOAD_FAST 0 (a) 2022-11-23T01:37:54.4794939Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:54.4795012Z 4 BINARY_ADD 2022-11-23T01:37:54.4795016Z 2022-11-23T01:37:54.4795102Z 624 6 LOAD_FAST 0 (a) 2022-11-23T01:37:54.4795191Z 8 LOAD_FAST 1 (b) 2022-11-23T01:37:54.4795273Z 10 BINARY_MULTIPLY 2022-11-23T01:37:54.4795278Z 2022-11-23T01:37:54.4795365Z 625 12 LOAD_FAST 0 (a) 2022-11-23T01:37:54.4795437Z 14 LOAD_FAST 1 (b) 2022-11-23T01:37:54.4795509Z 16 BINARY_AND 2022-11-23T01:37:54.4795515Z 2022-11-23T01:37:54.4795598Z 626 18 LOAD_FAST 0 (a) 2022-11-23T01:37:54.4795682Z 20 LOAD_FAST 1 (b) 2022-11-23T01:37:54.4795751Z 22 BINARY_OR 2022-11-23T01:37:54.4795757Z 2022-11-23T01:37:54.4795840Z 627 24 LOAD_FAST 0 (a) 2022-11-23T01:37:54.4795925Z 26 LOAD_FAST 1 (b) 2022-11-23T01:37:54.4795985Z 28 BINARY_XOR 2022-11-23T01:37:54.4796000Z 2022-11-23T01:37:54.4796081Z 628 30 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.4796180Z 32 LOAD_METHOD 1 (logical_and) 2022-11-23T01:37:54.4796269Z 34 LOAD_FAST 0 (a) 2022-11-23T01:37:54.4796352Z 36 LOAD_FAST 1 (b) 2022-11-23T01:37:54.4796437Z 38 CALL_METHOD 2 2022-11-23T01:37:54.4796441Z 2022-11-23T01:37:54.4796533Z 629 40 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.4796661Z 42 LOAD_METHOD 2 (logical_or) 2022-11-23T01:37:54.4796738Z 44 LOAD_FAST 0 (a) 2022-11-23T01:37:54.4796823Z 46 LOAD_FAST 1 (b) 2022-11-23T01:37:54.4796911Z 48 CALL_METHOD 2 2022-11-23T01:37:54.4796917Z 2022-11-23T01:37:54.4797009Z 630 50 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.4797109Z 52 LOAD_METHOD 3 (logical_not) 2022-11-23T01:37:54.4797195Z 54 LOAD_FAST 0 (a) 2022-11-23T01:37:54.4797280Z 56 CALL_METHOD 1 2022-11-23T01:37:54.4797314Z 2022-11-23T01:37:54.4797405Z 631 58 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.4797482Z 60 LOAD_METHOD 4 (sign) 2022-11-23T01:37:54.4797566Z 62 LOAD_FAST 1 (b) 2022-11-23T01:37:54.4797650Z 64 CALL_METHOD 1 2022-11-23T01:37:54.4797736Z 66 BUILD_TUPLE 9 2022-11-23T01:37:54.4797810Z 68 RETURN_VALUE 2022-11-23T01:37:54.4797870Z 2022-11-23T01:37:54.4797875Z 2022-11-23T01:37:54.4798149Z [2022-11-23 01:30:21,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:623 2022-11-23T01:37:54.4798362Z [2022-11-23 01:30:21,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:54.4798593Z [2022-11-23 01:30:21,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:54.4798868Z [2022-11-23 01:30:21,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4799139Z [2022-11-23 01:30:21,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:624 2022-11-23T01:37:54.4799376Z [2022-11-23 01:30:21,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()] 2022-11-23T01:37:54.4799643Z [2022-11-23 01:30:21,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4799959Z [2022-11-23 01:30:21,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4800224Z [2022-11-23 01:30:21,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:625 2022-11-23T01:37:54.4800489Z [2022-11-23 01:30:21,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4800783Z [2022-11-23 01:30:21,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4801103Z [2022-11-23 01:30:21,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_AND None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4801374Z [2022-11-23 01:30:21,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:626 2022-11-23T01:37:54.4801669Z [2022-11-23 01:30:21,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4801988Z [2022-11-23 01:30:21,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4802344Z [2022-11-23 01:30:21,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_OR None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4802610Z [2022-11-23 01:30:21,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:627 2022-11-23T01:37:54.4802930Z [2022-11-23 01:30:21,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4803310Z [2022-11-23 01:30:21,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4803702Z [2022-11-23 01:30:21,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_XOR None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4803968Z [2022-11-23 01:30:21,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:628 2022-11-23T01:37:54.4804327Z [2022-11-23 01:30:21,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4804885Z [2022-11-23 01:30:21,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_and [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4805361Z [2022-11-23 01:30:21,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4805863Z [2022-11-23 01:30:21,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.4806385Z [2022-11-23 01:30:21,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4806658Z [2022-11-23 01:30:21,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:629 2022-11-23T01:37:54.4807042Z [2022-11-23 01:30:21,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4807592Z [2022-11-23 01:30:21,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_or [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4808095Z [2022-11-23 01:30:21,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4808627Z [2022-11-23 01:30:21,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.4809190Z [2022-11-23 01:30:21,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4809458Z [2022-11-23 01:30:21,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:630 2022-11-23T01:37:54.4809876Z [2022-11-23 01:30:21,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4810484Z [2022-11-23 01:30:21,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_not [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4811012Z [2022-11-23 01:30:21,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4811574Z [2022-11-23 01:30:21,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.4811883Z [2022-11-23 01:30:21,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:631 2022-11-23T01:37:54.4812326Z [2022-11-23 01:30:21,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4812920Z [2022-11-23 01:30:21,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sign [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4813463Z [2022-11-23 01:30:21,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4814049Z [2022-11-23 01:30:21,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.4814517Z [2022-11-23 01:30:21,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 9 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4814768Z [2022-11-23 01:30:21,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.4815103Z [2022-11-23 01:30:21,220] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.4815355Z [2022-11-23 01:30:21,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.4815581Z [2022-11-23 01:30:21,220] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.4815839Z [2022-11-23 01:30:21,222] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.4816090Z [2022-11-23 01:30:21,229] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.4816288Z [2022-11-23 01:30:21,229] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.4816423Z __compiled_fn_46 .300 opcode, name, target, args, kwargs 2022-11-23T01:37:54.4816517Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.4816603Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.4816784Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.4816950Z call_function, mul, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.4817202Z call_function, and_, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.4817380Z call_function, or_, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.4817556Z call_function, xor, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.4817815Z call_function, logical_and, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.4818070Z call_function, logical_or, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.4818320Z call_function, logical_not, , (ex_0_,), {} 2022-11-23T01:37:54.4818578Z call_function, sign, , (ex_1_,), {} 2022-11-23T01:37:54.4818728Z output, output, output, ((add, mul, and_, or_, xor, logical_and, logical_or, logical_not, sign),), {} 2022-11-23T01:37:54.4818921Z 2022-11-23T01:37:54.4819262Z [2022-11-23 01:30:21,230] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4819357Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.4819448Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4819542Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.4819633Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.4819710Z 8 RETURN_VALUE 2022-11-23T01:37:54.4819716Z 2022-11-23T01:37:54.4819776Z 2022-11-23T01:37:54.4820054Z [2022-11-23 01:30:21,230] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4820152Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_46) 2022-11-23T01:37:54.4820246Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4820335Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4820412Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.4820500Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4820589Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.4820664Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.4820741Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.4820845Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4820947Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4821035Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4821111Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.4821210Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4821297Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:54.4821362Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.4821461Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4821548Z 32 LOAD_CONST 3 (2) 2022-11-23T01:37:54.4821624Z 34 BINARY_SUBSCR 2022-11-23T01:37:54.4821722Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4821809Z 38 LOAD_CONST 4 (3) 2022-11-23T01:37:54.4821881Z 40 BINARY_SUBSCR 2022-11-23T01:37:54.4821968Z 42 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4822052Z 44 LOAD_CONST 5 (4) 2022-11-23T01:37:54.4822125Z 46 BINARY_SUBSCR 2022-11-23T01:37:54.4822225Z 48 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4822310Z 50 LOAD_CONST 6 (5) 2022-11-23T01:37:54.4822383Z 52 BINARY_SUBSCR 2022-11-23T01:37:54.4822480Z 54 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4822555Z 56 LOAD_CONST 7 (6) 2022-11-23T01:37:54.4822629Z 58 BINARY_SUBSCR 2022-11-23T01:37:54.4822727Z 60 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4822813Z 62 LOAD_CONST 8 (7) 2022-11-23T01:37:54.4822885Z 64 BINARY_SUBSCR 2022-11-23T01:37:54.4823035Z 66 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4823123Z 68 LOAD_CONST 9 (8) 2022-11-23T01:37:54.4823198Z 70 BINARY_SUBSCR 2022-11-23T01:37:54.4823275Z 72 BUILD_TUPLE 9 2022-11-23T01:37:54.4823351Z 74 RETURN_VALUE 2022-11-23T01:37:54.4823356Z 2022-11-23T01:37:54.4823418Z 2022-11-23T01:37:54.4823608Z [2022-11-23 01:30:21,231] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.4823682Z - 2022-11-23T01:37:54.4823806Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.4823921Z { 2022-11-23T01:37:54.4824057Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.4824248Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.4824375Z 'obj_weakref': None 2022-11-23T01:37:54.4824604Z 'guarded_class': 2022-11-23T01:37:54.4824670Z } 2022-11-23T01:37:54.4824735Z 2022-11-23T01:37:54.4824807Z - 2022-11-23T01:37:54.4824922Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.4824988Z { 2022-11-23T01:37:54.4825136Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4825247Z 'code': None, 2022-11-23T01:37:54.4825463Z 'obj_weakref': 2022-11-23T01:37:54.4825719Z 'guarded_class': 2022-11-23T01:37:54.4825787Z } 2022-11-23T01:37:54.4825837Z 2022-11-23T01:37:54.4825910Z - 2022-11-23T01:37:54.4826035Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.4826100Z { 2022-11-23T01:37:54.4826248Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4826358Z 'code': None, 2022-11-23T01:37:54.4826574Z 'obj_weakref': 2022-11-23T01:37:54.4826821Z 'guarded_class': 2022-11-23T01:37:54.4826888Z } 2022-11-23T01:37:54.4826954Z 2022-11-23T01:37:54.4827028Z - 2022-11-23T01:37:54.4827162Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.4827226Z { 2022-11-23T01:37:54.4827365Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.4827525Z 'code': ['___check_obj_id(model, 140538741741040)'], 2022-11-23T01:37:54.4827650Z 'obj_weakref': None 2022-11-23T01:37:54.4827884Z 'guarded_class': 2022-11-23T01:37:54.4827951Z } 2022-11-23T01:37:54.4828015Z 2022-11-23T01:37:54.4828087Z - 2022-11-23T01:37:54.4828285Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.4828340Z { 2022-11-23T01:37:54.4828480Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.4828702Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.4828824Z 'obj_weakref': None 2022-11-23T01:37:54.4829047Z 'guarded_class': 2022-11-23T01:37:54.4829112Z } 2022-11-23T01:37:54.4829174Z 2022-11-23T01:37:54.4829231Z - 2022-11-23T01:37:54.4829366Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.4829432Z { 2022-11-23T01:37:54.4829554Z 'guard_types': None, 2022-11-23T01:37:54.4829665Z 'code': None, 2022-11-23T01:37:54.4829785Z 'obj_weakref': None 2022-11-23T01:37:54.4829895Z 'guarded_class': None 2022-11-23T01:37:54.4829959Z } 2022-11-23T01:37:54.4830022Z 2022-11-23T01:37:54.4830321Z [2022-11-23 01:30:21,242] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 45 2022-11-23T01:37:54.4830697Z [2022-11-23 01:30:22,648] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/d7/cd7v4bf77xcjo4exe7shhumqqvmrfaabtgggd4aba3vd26w4y5xf.py 2022-11-23T01:37:54.4830963Z [2022-11-23 01:30:22,648] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 45 2022-11-23T01:37:54.4830969Z 2022-11-23T01:37:54.4831064Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.4831132Z import torch 2022-11-23T01:37:54.4831220Z import random 2022-11-23T01:37:54.4831333Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.4831453Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.4831458Z 2022-11-23T01:37:54.4831534Z aten = torch.ops.aten 2022-11-23T01:37:54.4831665Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.4831760Z async_compile = AsyncCompile() 2022-11-23T01:37:54.4831765Z 2022-11-23T01:37:54.4831770Z 2022-11-23T01:37:54.4831906Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.4832115Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.4832219Z extern "C" void kernel(const bool* __restrict__ in_ptr0, 2022-11-23T01:37:54.4832324Z const bool* __restrict__ in_ptr1, 2022-11-23T01:37:54.4832420Z bool* __restrict__ out_ptr0, 2022-11-23T01:37:54.4832514Z bool* __restrict__ out_ptr1, 2022-11-23T01:37:54.4832608Z bool* __restrict__ out_ptr2, 2022-11-23T01:37:54.4832698Z bool* __restrict__ out_ptr3, 2022-11-23T01:37:54.4832787Z bool* __restrict__ out_ptr4, 2022-11-23T01:37:54.4832876Z bool* __restrict__ out_ptr5, 2022-11-23T01:37:54.4832952Z bool* __restrict__ out_ptr6, 2022-11-23T01:37:54.4833043Z bool* __restrict__ out_ptr7, 2022-11-23T01:37:54.4833131Z bool* __restrict__ out_ptr8) 2022-11-23T01:37:54.4833191Z { 2022-11-23T01:37:54.4833267Z #pragma GCC ivdep 2022-11-23T01:37:54.4833346Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:54.4833407Z { 2022-11-23T01:37:54.4833456Z { 2022-11-23T01:37:54.4833519Z { 2022-11-23T01:37:54.4833606Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.4833695Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:54.4833782Z auto tmp2 = tmp0 || tmp1; 2022-11-23T01:37:54.4833872Z auto tmp3 = tmp0 && tmp1; 2022-11-23T01:37:54.4833946Z auto tmp4 = tmp0 & tmp1; 2022-11-23T01:37:54.4834028Z auto tmp5 = tmp0 | tmp1; 2022-11-23T01:37:54.4834112Z auto tmp6 = tmp0 ^ tmp1; 2022-11-23T01:37:54.4834193Z auto tmp7 = tmp0 == 0; 2022-11-23T01:37:54.4834275Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:54.4834354Z out_ptr1[i0] = tmp3; 2022-11-23T01:37:54.4834431Z out_ptr2[i0] = tmp4; 2022-11-23T01:37:54.4834495Z out_ptr3[i0] = tmp5; 2022-11-23T01:37:54.4834573Z out_ptr4[i0] = tmp6; 2022-11-23T01:37:54.4834651Z out_ptr5[i0] = tmp3; 2022-11-23T01:37:54.4834727Z out_ptr6[i0] = tmp2; 2022-11-23T01:37:54.4834803Z out_ptr7[i0] = tmp7; 2022-11-23T01:37:54.4834877Z out_ptr8[i0] = tmp1; 2022-11-23T01:37:54.4834939Z } 2022-11-23T01:37:54.4834987Z } 2022-11-23T01:37:54.4835049Z } 2022-11-23T01:37:54.4835106Z } 2022-11-23T01:37:54.4835186Z ''') 2022-11-23T01:37:54.4835191Z 2022-11-23T01:37:54.4835196Z 2022-11-23T01:37:54.4835283Z async_compile.wait(globals()) 2022-11-23T01:37:54.4835355Z del async_compile 2022-11-23T01:37:54.4835359Z 2022-11-23T01:37:54.4835427Z def call(args): 2022-11-23T01:37:54.4835489Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.4835593Z args.clear() 2022-11-23T01:37:54.4835786Z buf0 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.4835977Z buf1 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.4836163Z buf2 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.4836345Z buf3 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.4836527Z buf4 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.4836708Z buf5 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.4836912Z buf6 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.4837091Z buf7 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.4837274Z buf8 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.4837629Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr())) 2022-11-23T01:37:54.4837699Z del arg0_1 2022-11-23T01:37:54.4837766Z del arg1_1 2022-11-23T01:37:54.4837883Z return (buf0, buf1, buf2, buf3, buf4, buf5, buf6, buf7, buf8, ) 2022-11-23T01:37:54.4837888Z 2022-11-23T01:37:54.4837893Z 2022-11-23T01:37:54.4837966Z if __name__ == "__main__": 2022-11-23T01:37:54.4838079Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.4838191Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.4838379Z arg0_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.4838566Z arg1_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.4838681Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.4838688Z 2022-11-23T01:37:54.4838754Z ok (1.448s) 2022-11-23T01:37:54.4839073Z test_both_scalars_cpu (__main__.CpuTests) ... [2022-11-23 01:30:22,655] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.4839343Z [2022-11-23 01:30:22,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.4839565Z [2022-11-23 01:30:22,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.4839808Z [2022-11-23 01:30:22,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.4840099Z [2022-11-23 01:30:22,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.4840425Z [2022-11-23 01:30:22,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.4840756Z [2022-11-23 01:30:22,656] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.4840853Z 1213 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.4840945Z 2 LOAD_METHOD 1 (add) 2022-11-23T01:37:54.4841034Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.4841123Z 6 LOAD_FAST 1 (b) 2022-11-23T01:37:54.4841210Z 8 CALL_METHOD 2 2022-11-23T01:37:54.4841216Z 2022-11-23T01:37:54.4841295Z 1214 10 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.4841387Z 12 LOAD_METHOD 1 (add) 2022-11-23T01:37:54.4841475Z 14 LOAD_FAST 1 (b) 2022-11-23T01:37:54.4841560Z 16 LOAD_FAST 0 (a) 2022-11-23T01:37:54.4841648Z 18 CALL_METHOD 2 2022-11-23T01:37:54.4841653Z 2022-11-23T01:37:54.4841774Z 1215 20 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.4841867Z 22 LOAD_METHOD 2 (sub) 2022-11-23T01:37:54.4841944Z 24 LOAD_FAST 0 (a) 2022-11-23T01:37:54.4842030Z 26 LOAD_FAST 1 (b) 2022-11-23T01:37:54.4842115Z 28 CALL_METHOD 2 2022-11-23T01:37:54.4842120Z 2022-11-23T01:37:54.4842210Z 1216 30 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.4842298Z 32 LOAD_METHOD 2 (sub) 2022-11-23T01:37:54.4842385Z 34 LOAD_FAST 1 (b) 2022-11-23T01:37:54.4842499Z 36 LOAD_FAST 0 (a) 2022-11-23T01:37:54.4842585Z 38 CALL_METHOD 2 2022-11-23T01:37:54.4842590Z 2022-11-23T01:37:54.4842669Z 1217 40 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.4842759Z 42 LOAD_METHOD 3 (mul) 2022-11-23T01:37:54.4842845Z 44 LOAD_FAST 0 (a) 2022-11-23T01:37:54.4842933Z 46 LOAD_FAST 1 (b) 2022-11-23T01:37:54.4843020Z 48 CALL_METHOD 2 2022-11-23T01:37:54.4843025Z 2022-11-23T01:37:54.4843115Z 1218 50 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.4843204Z 52 LOAD_METHOD 3 (mul) 2022-11-23T01:37:54.4843291Z 54 LOAD_FAST 1 (b) 2022-11-23T01:37:54.4843364Z 56 LOAD_FAST 0 (a) 2022-11-23T01:37:54.4843449Z 58 CALL_METHOD 2 2022-11-23T01:37:54.4843537Z 60 BUILD_TUPLE 6 2022-11-23T01:37:54.4843614Z 62 RETURN_VALUE 2022-11-23T01:37:54.4843673Z 2022-11-23T01:37:54.4843679Z 2022-11-23T01:37:54.4843952Z [2022-11-23 01:30:22,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1213 2022-11-23T01:37:54.4844176Z [2022-11-23 01:30:22,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.4844488Z [2022-11-23 01:30:22,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable()] 2022-11-23T01:37:54.4844730Z [2022-11-23 01:30:22,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.add)] 2022-11-23T01:37:54.4845017Z [2022-11-23 01:30:22,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.add), ConstantVariable(int)] 2022-11-23T01:37:54.4845349Z [2022-11-23 01:30:22,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.add), ConstantVariable(int), ConstantVariable(float)] 2022-11-23T01:37:54.4845621Z [2022-11-23 01:30:22,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1214 2022-11-23T01:37:54.4845867Z [2022-11-23 01:30:22,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:54.4846201Z [2022-11-23 01:30:22,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4846480Z [2022-11-23 01:30:22,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.add)] 2022-11-23T01:37:54.4846798Z [2022-11-23 01:30:22,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.add), ConstantVariable(float)] 2022-11-23T01:37:54.4847159Z [2022-11-23 01:30:22,670] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.add), ConstantVariable(float), ConstantVariable(int)] 2022-11-23T01:37:54.4847429Z [2022-11-23 01:30:22,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1215 2022-11-23T01:37:54.4847693Z [2022-11-23 01:30:22,671] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4848081Z [2022-11-23 01:30:22,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4848389Z [2022-11-23 01:30:22,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.sub)] 2022-11-23T01:37:54.4848731Z [2022-11-23 01:30:22,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.sub), ConstantVariable(int)] 2022-11-23T01:37:54.4849121Z [2022-11-23 01:30:22,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.sub), ConstantVariable(int), ConstantVariable(float)] 2022-11-23T01:37:54.4849420Z [2022-11-23 01:30:22,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1216 2022-11-23T01:37:54.4849723Z [2022-11-23 01:30:22,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4850108Z [2022-11-23 01:30:22,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4850437Z [2022-11-23 01:30:22,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.sub)] 2022-11-23T01:37:54.4850806Z [2022-11-23 01:30:22,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.sub), ConstantVariable(float)] 2022-11-23T01:37:54.4851227Z [2022-11-23 01:30:22,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.sub), ConstantVariable(float), ConstantVariable(int)] 2022-11-23T01:37:54.4851499Z [2022-11-23 01:30:22,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1217 2022-11-23T01:37:54.4851828Z [2022-11-23 01:30:22,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4852232Z [2022-11-23 01:30:22,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4852595Z [2022-11-23 01:30:22,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul)] 2022-11-23T01:37:54.4852999Z [2022-11-23 01:30:22,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul), ConstantVariable(int)] 2022-11-23T01:37:54.4853456Z [2022-11-23 01:30:22,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul), ConstantVariable(int), ConstantVariable(float)] 2022-11-23T01:37:54.4853725Z [2022-11-23 01:30:22,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1218 2022-11-23T01:37:54.4854087Z [2022-11-23 01:30:22,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4854536Z [2022-11-23 01:30:22,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4854959Z [2022-11-23 01:30:22,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul)] 2022-11-23T01:37:54.4855393Z [2022-11-23 01:30:22,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul), ConstantVariable(float)] 2022-11-23T01:37:54.4855875Z [2022-11-23 01:30:22,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.mul), ConstantVariable(float), ConstantVariable(int)] 2022-11-23T01:37:54.4856259Z [2022-11-23 01:30:22,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 6 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4856542Z [2022-11-23 01:30:22,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.4856879Z [2022-11-23 01:30:22,699] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.4857130Z [2022-11-23 01:30:22,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.4857354Z [2022-11-23 01:30:22,699] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.4857608Z [2022-11-23 01:30:22,701] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.4857859Z [2022-11-23 01:30:22,706] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.4858054Z [2022-11-23 01:30:22,707] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.4858189Z __compiled_fn_47 .306 opcode, name, target, args, kwargs 2022-11-23T01:37:54.4858289Z call_function, add, aten.add, (4, 3.3), {} 2022-11-23T01:37:54.4858389Z call_function, add_1, aten.add, (3.3, 4), {} 2022-11-23T01:37:54.4858487Z call_function, sub, aten.sub, (4, 3.3), {} 2022-11-23T01:37:54.4858573Z call_function, sub_1, aten.sub, (3.3, 4), {} 2022-11-23T01:37:54.4858669Z call_function, mul, aten.mul, (4, 3.3), {} 2022-11-23T01:37:54.4858931Z call_function, mul_1, aten.mul, (3.3, 4), {} 2022-11-23T01:37:54.4859104Z output, output, output, ((add, add_1, sub, sub_1, mul, mul_1),), {} 2022-11-23T01:37:54.4859111Z 2022-11-23T01:37:54.4859397Z [2022-11-23 01:30:22,707] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4859493Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.4859588Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4859682Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.4859759Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.4859836Z 8 RETURN_VALUE 2022-11-23T01:37:54.4859841Z 2022-11-23T01:37:54.4859903Z 2022-11-23T01:37:54.4860182Z [2022-11-23 01:30:22,707] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4860292Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_47) 2022-11-23T01:37:54.4860381Z 2 CALL_FUNCTION 0 2022-11-23T01:37:54.4860485Z 4 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4860575Z 6 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4860666Z 8 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4860742Z 10 BINARY_SUBSCR 2022-11-23T01:37:54.4860844Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4860935Z 14 LOAD_CONST 2 (1) 2022-11-23T01:37:54.4861010Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.4861109Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4861186Z 20 LOAD_CONST 3 (2) 2022-11-23T01:37:54.4861261Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.4861415Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4861507Z 26 LOAD_CONST 4 (3) 2022-11-23T01:37:54.4861581Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.4861680Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4861768Z 32 LOAD_CONST 5 (4) 2022-11-23T01:37:54.4861843Z 34 BINARY_SUBSCR 2022-11-23T01:37:54.4861929Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4862015Z 38 LOAD_CONST 6 (5) 2022-11-23T01:37:54.4862136Z 40 BINARY_SUBSCR 2022-11-23T01:37:54.4862224Z 42 BUILD_TUPLE 6 2022-11-23T01:37:54.4862298Z 44 RETURN_VALUE 2022-11-23T01:37:54.4862304Z 2022-11-23T01:37:54.4862362Z 2022-11-23T01:37:54.4862548Z [2022-11-23 01:30:22,708] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.4862607Z - 2022-11-23T01:37:54.4862730Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.4862795Z { 2022-11-23T01:37:54.4862939Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.4863127Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.4863251Z 'obj_weakref': None 2022-11-23T01:37:54.4863476Z 'guarded_class': 2022-11-23T01:37:54.4863528Z } 2022-11-23T01:37:54.4863590Z 2022-11-23T01:37:54.4863661Z - 2022-11-23T01:37:54.4863794Z local 'ex[0]' CONSTANT_MATCH 2022-11-23T01:37:54.4863863Z { 2022-11-23T01:37:54.4864007Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:54.4864197Z 'code': ['___check_type_id(ex[0], 93851402553120)', 'ex[0] == 4'], 2022-11-23T01:37:54.4864304Z 'obj_weakref': None 2022-11-23T01:37:54.4864531Z 'guarded_class': 2022-11-23T01:37:54.4864596Z } 2022-11-23T01:37:54.4864657Z 2022-11-23T01:37:54.4864726Z - 2022-11-23T01:37:54.4864858Z local 'ex[1]' CONSTANT_MATCH 2022-11-23T01:37:54.4864920Z { 2022-11-23T01:37:54.4865052Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:54.4865242Z 'code': ['___check_type_id(ex[1], 93851402560064)', 'ex[1] == 3.3'], 2022-11-23T01:37:54.4865364Z 'obj_weakref': None 2022-11-23T01:37:54.4865587Z 'guarded_class': 2022-11-23T01:37:54.4865655Z } 2022-11-23T01:37:54.4865716Z 2022-11-23T01:37:54.4865785Z - 2022-11-23T01:37:54.4865903Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.4865967Z { 2022-11-23T01:37:54.4866103Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.4866277Z 'code': ['___check_obj_id(model, 140539203472128)'], 2022-11-23T01:37:54.4866400Z 'obj_weakref': None 2022-11-23T01:37:54.4866636Z 'guarded_class': 2022-11-23T01:37:54.4866699Z } 2022-11-23T01:37:54.4866748Z 2022-11-23T01:37:54.4866818Z - 2022-11-23T01:37:54.4866945Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.4867012Z { 2022-11-23T01:37:54.4867151Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.4867372Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.4867498Z 'obj_weakref': None 2022-11-23T01:37:54.4867709Z 'guarded_class': 2022-11-23T01:37:54.4867775Z } 2022-11-23T01:37:54.4867839Z 2022-11-23T01:37:54.4867911Z - 2022-11-23T01:37:54.4868078Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.4868227Z { 2022-11-23T01:37:54.4868343Z 'guard_types': None, 2022-11-23T01:37:54.4868455Z 'code': None, 2022-11-23T01:37:54.4868574Z 'obj_weakref': None 2022-11-23T01:37:54.4868699Z 'guarded_class': None 2022-11-23T01:37:54.4868764Z } 2022-11-23T01:37:54.4868827Z 2022-11-23T01:37:54.4869095Z [2022-11-23 01:30:22,718] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 46 2022-11-23T01:37:54.4869474Z [2022-11-23 01:30:24,101] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dc/cdcffw6ibuvqyqttn5z6fbona4tlfzxg344nzv5rulpzccbtg335.py 2022-11-23T01:37:54.4869780Z [2022-11-23 01:30:24,102] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 46 2022-11-23T01:37:54.4869786Z 2022-11-23T01:37:54.4869882Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.4869953Z import torch 2022-11-23T01:37:54.4870025Z import random 2022-11-23T01:37:54.4870142Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.4870265Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.4870271Z 2022-11-23T01:37:54.4870350Z aten = torch.ops.aten 2022-11-23T01:37:54.4870483Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.4870564Z async_compile = AsyncCompile() 2022-11-23T01:37:54.4870569Z 2022-11-23T01:37:54.4870573Z 2022-11-23T01:37:54.4870712Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.4870919Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.4871039Z extern "C" void kernel(float* __restrict__ out_ptr0, 2022-11-23T01:37:54.4871137Z float* __restrict__ out_ptr1, 2022-11-23T01:37:54.4871231Z float* __restrict__ out_ptr2, 2022-11-23T01:37:54.4871327Z float* __restrict__ out_ptr3, 2022-11-23T01:37:54.4871421Z float* __restrict__ out_ptr4, 2022-11-23T01:37:54.4871502Z float* __restrict__ out_ptr5) 2022-11-23T01:37:54.4871565Z { 2022-11-23T01:37:54.4871628Z { 2022-11-23T01:37:54.4871692Z { 2022-11-23T01:37:54.4871792Z auto tmp0 = static_cast(4); 2022-11-23T01:37:54.4871896Z auto tmp1 = static_cast(3.3); 2022-11-23T01:37:54.4871969Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.4872047Z out_ptr0[0] = tmp2; 2022-11-23T01:37:54.4872111Z } 2022-11-23T01:37:54.4872174Z } 2022-11-23T01:37:54.4872239Z { 2022-11-23T01:37:54.4872301Z { 2022-11-23T01:37:54.4872402Z auto tmp0 = static_cast(3.3); 2022-11-23T01:37:54.4872488Z auto tmp1 = static_cast(4); 2022-11-23T01:37:54.4872573Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.4872652Z out_ptr1[0] = tmp2; 2022-11-23T01:37:54.4872716Z } 2022-11-23T01:37:54.4872779Z } 2022-11-23T01:37:54.4872840Z { 2022-11-23T01:37:54.4872903Z { 2022-11-23T01:37:54.4872987Z auto tmp0 = static_cast(4); 2022-11-23T01:37:54.4873085Z auto tmp1 = static_cast(3.3); 2022-11-23T01:37:54.4873214Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:37:54.4873290Z out_ptr2[0] = tmp2; 2022-11-23T01:37:54.4873351Z } 2022-11-23T01:37:54.4873411Z } 2022-11-23T01:37:54.4873458Z { 2022-11-23T01:37:54.4873519Z { 2022-11-23T01:37:54.4873616Z auto tmp0 = static_cast(3.3); 2022-11-23T01:37:54.4873713Z auto tmp1 = static_cast(4); 2022-11-23T01:37:54.4873840Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:37:54.4873917Z out_ptr3[0] = tmp2; 2022-11-23T01:37:54.4873978Z } 2022-11-23T01:37:54.4874025Z } 2022-11-23T01:37:54.4874084Z { 2022-11-23T01:37:54.4874144Z { 2022-11-23T01:37:54.4874239Z auto tmp0 = static_cast(4); 2022-11-23T01:37:54.4874371Z auto tmp1 = static_cast(3.3); 2022-11-23T01:37:54.4874457Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:54.4874532Z out_ptr4[0] = tmp2; 2022-11-23T01:37:54.4874580Z } 2022-11-23T01:37:54.4874638Z } 2022-11-23T01:37:54.4874699Z { 2022-11-23T01:37:54.4874761Z { 2022-11-23T01:37:54.4874858Z auto tmp0 = static_cast(3.3); 2022-11-23T01:37:54.4874955Z auto tmp1 = static_cast(4); 2022-11-23T01:37:54.4875027Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:54.4875102Z out_ptr5[0] = tmp2; 2022-11-23T01:37:54.4875194Z } 2022-11-23T01:37:54.4875253Z } 2022-11-23T01:37:54.4875310Z } 2022-11-23T01:37:54.4875392Z ''') 2022-11-23T01:37:54.4875397Z 2022-11-23T01:37:54.4875401Z 2022-11-23T01:37:54.4875490Z async_compile.wait(globals()) 2022-11-23T01:37:54.4875549Z del async_compile 2022-11-23T01:37:54.4875565Z 2022-11-23T01:37:54.4875621Z def call(args): 2022-11-23T01:37:54.4875813Z buf0 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4875997Z buf1 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4876178Z buf2 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4876355Z buf3 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4876532Z buf4 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4876709Z buf5 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4876933Z kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr())) 2022-11-23T01:37:54.4877038Z return (buf0, buf1, buf2, buf3, buf4, buf5, ) 2022-11-23T01:37:54.4877044Z 2022-11-23T01:37:54.4877048Z 2022-11-23T01:37:54.4877124Z if __name__ == "__main__": 2022-11-23T01:37:54.4877238Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.4877361Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.4877458Z print_performance(lambda: call([])) 2022-11-23T01:37:54.4877462Z 2022-11-23T01:37:54.4877528Z ok (1.453s) 2022-11-23T01:37:54.4877831Z test_cat_cpu (__main__.CpuTests) ... [2022-11-23 01:30:24,110] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.4878106Z [2022-11-23 01:30:24,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.4878316Z [2022-11-23 01:30:24,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.4878576Z [2022-11-23 01:30:24,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.4878870Z [2022-11-23 01:30:24,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.4879199Z [2022-11-23 01:30:24,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.4879530Z [2022-11-23 01:30:24,111] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.4879623Z 2554 0 LOAD_FAST 0 (a) 2022-11-23T01:37:54.4879712Z 2 LOAD_CONST 1 (2) 2022-11-23T01:37:54.4879794Z 4 BINARY_MULTIPLY 2022-11-23T01:37:54.4879888Z 6 STORE_FAST 1 (tmp) 2022-11-23T01:37:54.4879896Z 2022-11-23T01:37:54.4879977Z 2556 8 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.4880066Z 10 LOAD_METHOD 1 (cat) 2022-11-23T01:37:54.4880153Z 12 LOAD_FAST 0 (a) 2022-11-23T01:37:54.4880241Z 14 LOAD_FAST 0 (a) 2022-11-23T01:37:54.4880365Z 16 LOAD_CONST 0 (None) 2022-11-23T01:37:54.4880453Z 18 LOAD_CONST 0 (None) 2022-11-23T01:37:54.4880538Z 20 BUILD_SLICE 2 2022-11-23T01:37:54.4880614Z 22 LOAD_CONST 0 (None) 2022-11-23T01:37:54.4880701Z 24 LOAD_CONST 2 (4) 2022-11-23T01:37:54.4880788Z 26 BUILD_SLICE 2 2022-11-23T01:37:54.4880874Z 28 BUILD_TUPLE 2 2022-11-23T01:37:54.4880951Z 30 BINARY_SUBSCR 2022-11-23T01:37:54.4881040Z 32 LOAD_CONST 3 (1) 2022-11-23T01:37:54.4881142Z 34 BINARY_ADD 2022-11-23T01:37:54.4881218Z 36 LOAD_FAST 0 (a) 2022-11-23T01:37:54.4881301Z 38 LOAD_CONST 1 (2) 2022-11-23T01:37:54.4881372Z 40 BINARY_ADD 2022-11-23T01:37:54.4881457Z 42 BUILD_TUPLE 3 2022-11-23T01:37:54.4881603Z 44 LOAD_CONST 4 (-1) 2022-11-23T01:37:54.4881691Z 46 CALL_METHOD 2 2022-11-23T01:37:54.4881697Z 2022-11-23T01:37:54.4881788Z 2557 48 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.4881877Z 50 LOAD_METHOD 1 (cat) 2022-11-23T01:37:54.4881957Z 52 LOAD_FAST 1 (tmp) 2022-11-23T01:37:54.4882046Z 54 LOAD_FAST 1 (tmp) 2022-11-23T01:37:54.4882132Z 56 BUILD_TUPLE 2 2022-11-23T01:37:54.4882221Z 58 LOAD_CONST 5 (0) 2022-11-23T01:37:54.4882304Z 60 CALL_METHOD 2 2022-11-23T01:37:54.4882311Z 2022-11-23T01:37:54.4882402Z 2558 62 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.4882492Z 64 LOAD_METHOD 1 (cat) 2022-11-23T01:37:54.4882567Z 66 LOAD_FAST 1 (tmp) 2022-11-23T01:37:54.4882655Z 68 LOAD_FAST 1 (tmp) 2022-11-23T01:37:54.4882751Z 70 LOAD_METHOD 2 (double) 2022-11-23T01:37:54.4882838Z 72 CALL_METHOD 0 2022-11-23T01:37:54.4882924Z 74 BUILD_TUPLE 2 2022-11-23T01:37:54.4883010Z 76 LOAD_CONST 5 (0) 2022-11-23T01:37:54.4883096Z 78 CALL_METHOD 2 2022-11-23T01:37:54.4883169Z 80 BUILD_TUPLE 3 2022-11-23T01:37:54.4883243Z 82 RETURN_VALUE 2022-11-23T01:37:54.4883301Z 2022-11-23T01:37:54.4883306Z 2022-11-23T01:37:54.4883579Z [2022-11-23 01:30:24,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2554 2022-11-23T01:37:54.4883798Z [2022-11-23 01:30:24,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:54.4884041Z [2022-11-23 01:30:24,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:37:54.4884338Z [2022-11-23 01:30:24,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4884582Z [2022-11-23 01:30:24,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp [TensorVariable()] 2022-11-23T01:37:54.4884853Z [2022-11-23 01:30:24,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2556 2022-11-23T01:37:54.4885062Z [2022-11-23 01:30:24,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.4885427Z [2022-11-23 01:30:24,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cat [TorchVariable()] 2022-11-23T01:37:54.4885751Z [2022-11-23 01:30:24,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:54.4886135Z [2022-11-23 01:30:24,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.4886517Z [2022-11-23 01:30:24,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4886942Z [2022-11-23 01:30:24,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:54.4887412Z [2022-11-23 01:30:24,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TorchVariable(), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)] 2022-11-23T01:37:54.4887852Z [2022-11-23 01:30:24,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(), TensorVariable(), TensorVariable(), SliceVariable()] 2022-11-23T01:37:54.4888299Z [2022-11-23 01:30:24,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:54.4888784Z [2022-11-23 01:30:24,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TorchVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(int)] 2022-11-23T01:37:54.4889215Z [2022-11-23 01:30:24,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TorchVariable(), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()] 2022-11-23T01:37:54.4889628Z [2022-11-23 01:30:24,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TorchVariable(), TensorVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:54.4890006Z [2022-11-23 01:30:24,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4890423Z [2022-11-23 01:30:24,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4890796Z [2022-11-23 01:30:24,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4891201Z [2022-11-23 01:30:24,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4891635Z [2022-11-23 01:30:24,116] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4892041Z [2022-11-23 01:30:24,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TorchVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4892386Z [2022-11-23 01:30:24,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(), TupleVariable()] 2022-11-23T01:37:54.4892775Z [2022-11-23 01:30:24,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4893076Z [2022-11-23 01:30:24,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2557 2022-11-23T01:37:54.4893328Z [2022-11-23 01:30:24,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:37:54.4893722Z [2022-11-23 01:30:24,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cat [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4894074Z [2022-11-23 01:30:24,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4894484Z [2022-11-23 01:30:24,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.4894893Z [2022-11-23 01:30:24,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4895265Z [2022-11-23 01:30:24,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(), TupleVariable()] 2022-11-23T01:37:54.4895681Z [2022-11-23 01:30:24,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4895955Z [2022-11-23 01:30:24,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2558 2022-11-23T01:37:54.4896223Z [2022-11-23 01:30:24,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4896646Z [2022-11-23 01:30:24,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cat [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4897026Z [2022-11-23 01:30:24,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.4897432Z [2022-11-23 01:30:24,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.4897871Z [2022-11-23 01:30:24,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR double [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4898356Z [2022-11-23 01:30:24,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), double)] 2022-11-23T01:37:54.4898951Z [2022-11-23 01:30:24,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4899411Z [2022-11-23 01:30:24,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TorchVariable(), TupleVariable()] 2022-11-23T01:37:54.4899864Z [2022-11-23 01:30:24,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4900171Z [2022-11-23 01:30:24,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4900480Z [2022-11-23 01:30:24,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.4900818Z [2022-11-23 01:30:24,124] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.4901066Z [2022-11-23 01:30:24,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.4901306Z [2022-11-23 01:30:24,124] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.4901553Z [2022-11-23 01:30:24,126] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.4901851Z [2022-11-23 01:30:24,134] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.4902043Z [2022-11-23 01:30:24,134] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.4902181Z __compiled_fn_48 .312 opcode, name, target, args, kwargs 2022-11-23T01:37:54.4902273Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.4902448Z call_function, mul, , (ex_0_, 2), {} 2022-11-23T01:37:54.4902707Z call_function, getitem, , (ex_0_, (slice(None, None, None), slice(None, 4, None))), {} 2022-11-23T01:37:54.4902889Z call_function, add, , (getitem, 1), {} 2022-11-23T01:37:54.4903051Z call_function, add_1, , (ex_0_, 2), {} 2022-11-23T01:37:54.4903301Z call_function, cat, , ((ex_0_, add, add_1), -1), {} 2022-11-23T01:37:54.4903534Z call_function, cat_1, , ((mul, mul), 0), {} 2022-11-23T01:37:54.4903631Z call_method, double, double, (mul,), {} 2022-11-23T01:37:54.4903871Z call_function, cat_2, , ((mul, double), 0), {} 2022-11-23T01:37:54.4903981Z output, output, output, ((cat, cat_1, cat_2),), {} 2022-11-23T01:37:54.4903987Z 2022-11-23T01:37:54.4904267Z [2022-11-23 01:30:24,135] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4904359Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.4904448Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4904527Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.4904616Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.4904691Z 8 RETURN_VALUE 2022-11-23T01:37:54.4904696Z 2022-11-23T01:37:54.4904759Z 2022-11-23T01:37:54.4905033Z [2022-11-23 01:30:24,135] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4905140Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_48) 2022-11-23T01:37:54.4905228Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4905305Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4905380Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.4905467Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.4905568Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4905669Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4905756Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4905833Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.4905920Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4906008Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:54.4906085Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.4906182Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4906269Z 26 LOAD_CONST 3 (2) 2022-11-23T01:37:54.4906342Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.4906431Z 30 BUILD_TUPLE 3 2022-11-23T01:37:54.4906524Z 32 RETURN_VALUE 2022-11-23T01:37:54.4906542Z 2022-11-23T01:37:54.4906592Z 2022-11-23T01:37:54.4906778Z [2022-11-23 01:30:24,136] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.4906851Z - 2022-11-23T01:37:54.4906970Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.4907035Z { 2022-11-23T01:37:54.4907180Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.4907368Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.4907477Z 'obj_weakref': None 2022-11-23T01:37:54.4907703Z 'guarded_class': 2022-11-23T01:37:54.4907800Z } 2022-11-23T01:37:54.4907860Z 2022-11-23T01:37:54.4907932Z - 2022-11-23T01:37:54.4908060Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.4908201Z { 2022-11-23T01:37:54.4908343Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4908455Z 'code': None, 2022-11-23T01:37:54.4908673Z 'obj_weakref': 2022-11-23T01:37:54.4908930Z 'guarded_class': 2022-11-23T01:37:54.4908995Z } 2022-11-23T01:37:54.4909056Z 2022-11-23T01:37:54.4909128Z - 2022-11-23T01:37:54.4909248Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.4909312Z { 2022-11-23T01:37:54.4909449Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.4909624Z 'code': ['___check_obj_id(model, 140538742058304)'], 2022-11-23T01:37:54.4909746Z 'obj_weakref': None 2022-11-23T01:37:54.4909981Z 'guarded_class': 2022-11-23T01:37:54.4910045Z } 2022-11-23T01:37:54.4910094Z 2022-11-23T01:37:54.4910165Z - 2022-11-23T01:37:54.4910294Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.4910357Z { 2022-11-23T01:37:54.4910493Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.4910714Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.4910833Z 'obj_weakref': None 2022-11-23T01:37:54.4911042Z 'guarded_class': 2022-11-23T01:37:54.4911106Z } 2022-11-23T01:37:54.4911167Z 2022-11-23T01:37:54.4911237Z - 2022-11-23T01:37:54.4911375Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.4911437Z { 2022-11-23T01:37:54.4911545Z 'guard_types': None, 2022-11-23T01:37:54.4911652Z 'code': None, 2022-11-23T01:37:54.4911769Z 'obj_weakref': None 2022-11-23T01:37:54.4911892Z 'guarded_class': None 2022-11-23T01:37:54.4911954Z } 2022-11-23T01:37:54.4912019Z 2022-11-23T01:37:54.4912280Z [2022-11-23 01:30:24,149] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 47 2022-11-23T01:37:54.4912654Z [2022-11-23 01:30:25,600] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/js/cjstc3ic5bkzs2j7rjcqsdopplj5wlkokb3wksjvglizh2ekquuo.py 2022-11-23T01:37:54.4912907Z [2022-11-23 01:30:25,601] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 47 2022-11-23T01:37:54.4912913Z 2022-11-23T01:37:54.4913008Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.4913081Z import torch 2022-11-23T01:37:54.4913151Z import random 2022-11-23T01:37:54.4913266Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.4913387Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.4913393Z 2022-11-23T01:37:54.4913472Z aten = torch.ops.aten 2022-11-23T01:37:54.4913605Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.4913721Z async_compile = AsyncCompile() 2022-11-23T01:37:54.4913727Z 2022-11-23T01:37:54.4913731Z 2022-11-23T01:37:54.4913872Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.4914082Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.4914203Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.4914304Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.4914403Z float* __restrict__ out_ptr1, 2022-11-23T01:37:54.4914497Z float* __restrict__ out_ptr2, 2022-11-23T01:37:54.4914672Z float* __restrict__ out_ptr3, 2022-11-23T01:37:54.4914752Z float* __restrict__ out_ptr4, 2022-11-23T01:37:54.4914852Z double* __restrict__ out_ptr5, 2022-11-23T01:37:54.4914949Z double* __restrict__ out_ptr6) 2022-11-23T01:37:54.4915011Z { 2022-11-23T01:37:54.4915092Z #pragma GCC ivdep 2022-11-23T01:37:54.4915174Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:54.4915222Z { 2022-11-23T01:37:54.4915302Z for(long i1=0; i1<2; i1+=1) 2022-11-23T01:37:54.4915367Z { 2022-11-23T01:37:54.4915529Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (16*i0)); 2022-11-23T01:37:54.4915666Z auto tmp1 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:37:54.4915753Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.4915857Z tmp0.store(out_ptr0 + (8*i1) + (36*i0)); 2022-11-23T01:37:54.4915957Z tmp2.store(out_ptr1 + (8*i1) + (36*i0)); 2022-11-23T01:37:54.4916008Z } 2022-11-23T01:37:54.4916099Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.4916182Z for(long i1=16; i1<16; i1+=1) 2022-11-23T01:37:54.4916247Z { 2022-11-23T01:37:54.4916343Z auto tmp0 = in_ptr0[i1 + (16*i0)]; 2022-11-23T01:37:54.4916444Z auto tmp1 = static_cast(2); 2022-11-23T01:37:54.4916530Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.4916607Z out_ptr0[i1 + (36*i0)] = tmp0; 2022-11-23T01:37:54.4916694Z out_ptr1[i1 + (36*i0)] = tmp2; 2022-11-23T01:37:54.4916756Z } 2022-11-23T01:37:54.4916819Z } 2022-11-23T01:37:54.4916895Z #pragma GCC ivdep 2022-11-23T01:37:54.4916975Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:54.4917022Z { 2022-11-23T01:37:54.4917100Z #pragma GCC ivdep 2022-11-23T01:37:54.4917182Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:37:54.4917247Z { 2022-11-23T01:37:54.4917314Z { 2022-11-23T01:37:54.4917380Z { 2022-11-23T01:37:54.4917481Z auto tmp0 = in_ptr0[i1 + (16*i0)]; 2022-11-23T01:37:54.4917572Z auto tmp1 = static_cast(1); 2022-11-23T01:37:54.4917665Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.4917757Z out_ptr2[i1 + (36*i0)] = tmp2; 2022-11-23T01:37:54.4917822Z } 2022-11-23T01:37:54.4917888Z } 2022-11-23T01:37:54.4917950Z } 2022-11-23T01:37:54.4918010Z } 2022-11-23T01:37:54.4918071Z #pragma GCC ivdep 2022-11-23T01:37:54.4918149Z for(long i0=0; i0<128; i0+=1) 2022-11-23T01:37:54.4918212Z { 2022-11-23T01:37:54.4918273Z { 2022-11-23T01:37:54.4918333Z { 2022-11-23T01:37:54.4918419Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.4918517Z auto tmp1 = static_cast(2); 2022-11-23T01:37:54.4918591Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:54.4918701Z auto tmp3 = static_cast(tmp2); 2022-11-23T01:37:54.4918782Z out_ptr3[i0] = tmp2; 2022-11-23T01:37:54.4918859Z out_ptr4[i0] = tmp2; 2022-11-23T01:37:54.4918935Z out_ptr5[i0] = tmp3; 2022-11-23T01:37:54.4919011Z out_ptr6[i0] = tmp3; 2022-11-23T01:37:54.4919072Z } 2022-11-23T01:37:54.4919148Z } 2022-11-23T01:37:54.4919208Z } 2022-11-23T01:37:54.4919267Z } 2022-11-23T01:37:54.4919350Z ''') 2022-11-23T01:37:54.4919355Z 2022-11-23T01:37:54.4919360Z 2022-11-23T01:37:54.4919447Z async_compile.wait(globals()) 2022-11-23T01:37:54.4919518Z del async_compile 2022-11-23T01:37:54.4919523Z 2022-11-23T01:37:54.4919593Z def call(args): 2022-11-23T01:37:54.4919651Z arg0_1, = args 2022-11-23T01:37:54.4919720Z args.clear() 2022-11-23T01:37:54.4919921Z buf3 = empty_strided((8, 36), (36, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4920020Z buf0 = as_strided(buf3, (8, 16), (36, 1)) # alias 2022-11-23T01:37:54.4920154Z buf2 = as_strided(buf3, (8, 16), (36, 1), 20) # alias 2022-11-23T01:37:54.4920255Z buf1 = as_strided(buf3, (8, 4), (36, 1), 16) # alias 2022-11-23T01:37:54.4920457Z buf6 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4920543Z buf4 = as_strided(buf6, (8, 16), (16, 1)) # alias 2022-11-23T01:37:54.4920646Z buf5 = as_strided(buf6, (8, 16), (16, 1), 128) # alias 2022-11-23T01:37:54.4920846Z buf9 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:37:54.4920945Z buf7 = as_strided(buf9, (8, 16), (16, 1)) # alias 2022-11-23T01:37:54.4921048Z buf8 = as_strided(buf9, (8, 16), (16, 1), 128) # alias 2022-11-23T01:37:54.4921330Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr())) 2022-11-23T01:37:54.4921400Z del arg0_1 2022-11-23T01:37:54.4921482Z return (buf3, buf6, buf9, ) 2022-11-23T01:37:54.4921487Z 2022-11-23T01:37:54.4921491Z 2022-11-23T01:37:54.4921566Z if __name__ == "__main__": 2022-11-23T01:37:54.4921666Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.4921785Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.4921988Z arg0_1 = rand_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4922095Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.4922100Z 2022-11-23T01:37:54.4922166Z ok (1.499s) 2022-11-23T01:37:54.4922491Z test_cat_extern_kernel_cpu (__main__.CpuTests) ... [2022-11-23 01:30:25,639] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.4922763Z [2022-11-23 01:30:25,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.4922988Z [2022-11-23 01:30:25,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.4923238Z [2022-11-23 01:30:25,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.4923523Z [2022-11-23 01:30:25,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.4923853Z [2022-11-23 01:30:25,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.4924183Z [2022-11-23 01:30:25,640] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.4924280Z 2581 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.4924373Z 2 LOAD_METHOD 1 (mm) 2022-11-23T01:37:54.4924463Z 4 LOAD_FAST 1 (x2) 2022-11-23T01:37:54.4924551Z 6 LOAD_FAST 2 (x3) 2022-11-23T01:37:54.4924629Z 8 CALL_METHOD 2 2022-11-23T01:37:54.4924721Z 10 STORE_FAST 4 (x) 2022-11-23T01:37:54.4924726Z 2022-11-23T01:37:54.4924817Z 2582 12 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.4924911Z 14 LOAD_METHOD 2 (narrow) 2022-11-23T01:37:54.4925035Z 16 LOAD_FAST 4 (x) 2022-11-23T01:37:54.4925124Z 18 LOAD_CONST 1 (1) 2022-11-23T01:37:54.4925211Z 20 LOAD_CONST 2 (0) 2022-11-23T01:37:54.4925300Z 22 LOAD_CONST 3 (100) 2022-11-23T01:37:54.4925375Z 24 CALL_METHOD 4 2022-11-23T01:37:54.4925462Z 26 STORE_FAST 5 (s) 2022-11-23T01:37:54.4925467Z 2022-11-23T01:37:54.4925559Z 2583 28 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.4925649Z 30 LOAD_METHOD 1 (mm) 2022-11-23T01:37:54.4925769Z 32 LOAD_FAST 5 (s) 2022-11-23T01:37:54.4925855Z 34 LOAD_FAST 3 (x4) 2022-11-23T01:37:54.4925939Z 36 CALL_METHOD 2 2022-11-23T01:37:54.4926013Z 38 STORE_FAST 4 (x) 2022-11-23T01:37:54.4926032Z 2022-11-23T01:37:54.4926113Z 2584 40 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.4926200Z 42 LOAD_METHOD 3 (cat) 2022-11-23T01:37:54.4926288Z 44 LOAD_FAST 4 (x) 2022-11-23T01:37:54.4926375Z 46 LOAD_FAST 0 (x1) 2022-11-23T01:37:54.4926468Z 48 BUILD_TUPLE 2 2022-11-23T01:37:54.4926553Z 50 LOAD_CONST 1 (1) 2022-11-23T01:37:54.4926638Z 52 CALL_METHOD 2 2022-11-23T01:37:54.4926714Z 54 STORE_FAST 6 (c) 2022-11-23T01:37:54.4926719Z 2022-11-23T01:37:54.4926802Z 2585 56 LOAD_FAST 6 (c) 2022-11-23T01:37:54.4926890Z 58 BUILD_TUPLE 1 2022-11-23T01:37:54.4926964Z 60 RETURN_VALUE 2022-11-23T01:37:54.4927023Z 2022-11-23T01:37:54.4927028Z 2022-11-23T01:37:54.4927302Z [2022-11-23 01:30:25,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2581 2022-11-23T01:37:54.4927527Z [2022-11-23 01:30:25,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.4927896Z [2022-11-23 01:30:25,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mm [TorchVariable()] 2022-11-23T01:37:54.4928203Z [2022-11-23 01:30:25,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x2 [TorchVariable()] 2022-11-23T01:37:54.4928545Z [2022-11-23 01:30:25,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x3 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.4928926Z [2022-11-23 01:30:25,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4929168Z [2022-11-23 01:30:25,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.4929440Z [2022-11-23 01:30:25,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2582 2022-11-23T01:37:54.4929659Z [2022-11-23 01:30:25,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.4930026Z [2022-11-23 01:30:25,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR narrow [TorchVariable()] 2022-11-23T01:37:54.4930346Z [2022-11-23 01:30:25,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:37:54.4930700Z [2022-11-23 01:30:25,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.4931119Z [2022-11-23 01:30:25,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4931552Z [2022-11-23 01:30:25,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 100 [TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4932022Z [2022-11-23 01:30:25,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.4932296Z [2022-11-23 01:30:25,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST s [TensorVariable()] 2022-11-23T01:37:54.4932554Z [2022-11-23 01:30:25,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2583 2022-11-23T01:37:54.4932775Z [2022-11-23 01:30:25,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.4933135Z [2022-11-23 01:30:25,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mm [TorchVariable()] 2022-11-23T01:37:54.4933451Z [2022-11-23 01:30:25,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST s [TorchVariable()] 2022-11-23T01:37:54.4933793Z [2022-11-23 01:30:25,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x4 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.4934173Z [2022-11-23 01:30:25,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4934414Z [2022-11-23 01:30:25,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.4934687Z [2022-11-23 01:30:25,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2584 2022-11-23T01:37:54.4934904Z [2022-11-23 01:30:25,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.4935265Z [2022-11-23 01:30:25,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cat [TorchVariable()] 2022-11-23T01:37:54.4935580Z [2022-11-23 01:30:25,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:37:54.4935916Z [2022-11-23 01:30:25,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.4936297Z [2022-11-23 01:30:25,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4936642Z [2022-11-23 01:30:25,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(), TupleVariable()] 2022-11-23T01:37:54.4937025Z [2022-11-23 01:30:25,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4937268Z [2022-11-23 01:30:25,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()] 2022-11-23T01:37:54.4937538Z [2022-11-23 01:30:25,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2585 2022-11-23T01:37:54.4937751Z [2022-11-23 01:30:25,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [] 2022-11-23T01:37:54.4937994Z [2022-11-23 01:30:25,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:54.4938271Z [2022-11-23 01:30:25,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.4938606Z [2022-11-23 01:30:25,648] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.4939050Z [2022-11-23 01:30:25,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.4939305Z [2022-11-23 01:30:25,648] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.4939563Z [2022-11-23 01:30:25,649] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.4939875Z [2022-11-23 01:30:25,655] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.4940066Z [2022-11-23 01:30:25,655] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.4940205Z __compiled_fn_49 .318 opcode, name, target, args, kwargs 2022-11-23T01:37:54.4940295Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.4940381Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.4940452Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:37:54.4940535Z placeholder, ex_3_, ex_3_, (), {} 2022-11-23T01:37:54.4940764Z call_function, mm, , (ex_1_, ex_2_), {} 2022-11-23T01:37:54.4941008Z call_function, narrow, , (mm, 1, 0, 100), {} 2022-11-23T01:37:54.4941243Z call_function, mm_1, , (narrow, ex_3_), {} 2022-11-23T01:37:54.4941486Z call_function, cat, , ((mm_1, ex_0_), 1), {} 2022-11-23T01:37:54.4941581Z output, output, output, ((cat,),), {} 2022-11-23T01:37:54.4941588Z 2022-11-23T01:37:54.4941872Z [2022-11-23 01:30:25,655] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4941968Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.4942048Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4942141Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.4942232Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.4942307Z 8 RETURN_VALUE 2022-11-23T01:37:54.4942313Z 2022-11-23T01:37:54.4942375Z 2022-11-23T01:37:54.4942651Z [2022-11-23 01:30:25,656] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4942763Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_49) 2022-11-23T01:37:54.4942840Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4942927Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4943003Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.4943091Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4943180Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.4943253Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.4943338Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4943422Z 16 LOAD_CONST 3 (2) 2022-11-23T01:37:54.4943484Z 18 BINARY_SUBSCR 2022-11-23T01:37:54.4943568Z 20 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4943652Z 22 LOAD_CONST 4 (3) 2022-11-23T01:37:54.4943727Z 24 BINARY_SUBSCR 2022-11-23T01:37:54.4943815Z 26 CALL_FUNCTION 4 2022-11-23T01:37:54.4943920Z 28 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4944019Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4944095Z 32 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4944168Z 34 BINARY_SUBSCR 2022-11-23T01:37:54.4944254Z 36 BUILD_TUPLE 1 2022-11-23T01:37:54.4944366Z 38 RETURN_VALUE 2022-11-23T01:37:54.4944372Z 2022-11-23T01:37:54.4944432Z 2022-11-23T01:37:54.4944620Z [2022-11-23 01:30:25,656] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.4944693Z - 2022-11-23T01:37:54.4944803Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.4944865Z { 2022-11-23T01:37:54.4945009Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.4945199Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 4'], 2022-11-23T01:37:54.4945320Z 'obj_weakref': None 2022-11-23T01:37:54.4945547Z 'guarded_class': 2022-11-23T01:37:54.4945643Z } 2022-11-23T01:37:54.4945692Z 2022-11-23T01:37:54.4945762Z - 2022-11-23T01:37:54.4945890Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.4945951Z { 2022-11-23T01:37:54.4946095Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4946208Z 'code': None, 2022-11-23T01:37:54.4946423Z 'obj_weakref': 2022-11-23T01:37:54.4946666Z 'guarded_class': 2022-11-23T01:37:54.4946729Z } 2022-11-23T01:37:54.4946792Z 2022-11-23T01:37:54.4946862Z - 2022-11-23T01:37:54.4946988Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.4947051Z { 2022-11-23T01:37:54.4947195Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4947294Z 'code': None, 2022-11-23T01:37:54.4947506Z 'obj_weakref': 2022-11-23T01:37:54.4947762Z 'guarded_class': 2022-11-23T01:37:54.4947826Z } 2022-11-23T01:37:54.4947888Z 2022-11-23T01:37:54.4947960Z - 2022-11-23T01:37:54.4948087Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:37:54.4948220Z { 2022-11-23T01:37:54.4948373Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4948485Z 'code': None, 2022-11-23T01:37:54.4948701Z 'obj_weakref': 2022-11-23T01:37:54.4948955Z 'guarded_class': 2022-11-23T01:37:54.4949021Z } 2022-11-23T01:37:54.4949083Z 2022-11-23T01:37:54.4949144Z - 2022-11-23T01:37:54.4949272Z local 'ex[3]' TENSOR_MATCH 2022-11-23T01:37:54.4949338Z { 2022-11-23T01:37:54.4949483Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4949592Z 'code': None, 2022-11-23T01:37:54.4949802Z 'obj_weakref': 2022-11-23T01:37:54.4950059Z 'guarded_class': 2022-11-23T01:37:54.4950111Z } 2022-11-23T01:37:54.4950171Z 2022-11-23T01:37:54.4950241Z - 2022-11-23T01:37:54.4950374Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.4950436Z { 2022-11-23T01:37:54.4950571Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.4950742Z 'code': ['___check_obj_id(model, 140538745741040)'], 2022-11-23T01:37:54.4950850Z 'obj_weakref': None 2022-11-23T01:37:54.4951082Z 'guarded_class': 2022-11-23T01:37:54.4951149Z } 2022-11-23T01:37:54.4951209Z 2022-11-23T01:37:54.4951280Z - 2022-11-23T01:37:54.4951406Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.4951469Z { 2022-11-23T01:37:54.4951627Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.4951854Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.4951975Z 'obj_weakref': None 2022-11-23T01:37:54.4952195Z 'guarded_class': 2022-11-23T01:37:54.4952258Z } 2022-11-23T01:37:54.4952318Z 2022-11-23T01:37:54.4952388Z - 2022-11-23T01:37:54.4952510Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.4952574Z { 2022-11-23T01:37:54.4952695Z 'guard_types': None, 2022-11-23T01:37:54.4952834Z 'code': None, 2022-11-23T01:37:54.4952952Z 'obj_weakref': None 2022-11-23T01:37:54.4953076Z 'guarded_class': None 2022-11-23T01:37:54.4953142Z } 2022-11-23T01:37:54.4953190Z 2022-11-23T01:37:54.4953455Z [2022-11-23 01:30:25,666] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 48 2022-11-23T01:37:54.4953833Z [2022-11-23 01:30:27,056] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/px/cpxw2xzkfsehntoc4r2ut3z2waonqbaavfjtlxlkabf3uxxnsugt.py 2022-11-23T01:37:54.4954102Z [2022-11-23 01:30:27,056] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 48 2022-11-23T01:37:54.4954109Z 2022-11-23T01:37:54.4954205Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.4954276Z import torch 2022-11-23T01:37:54.4954346Z import random 2022-11-23T01:37:54.4954464Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.4954577Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.4954582Z 2022-11-23T01:37:54.4954661Z aten = torch.ops.aten 2022-11-23T01:37:54.4954795Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.4954887Z async_compile = AsyncCompile() 2022-11-23T01:37:54.4954893Z 2022-11-23T01:37:54.4954897Z 2022-11-23T01:37:54.4955031Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.4961136Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.4961273Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.4961376Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.4961439Z { 2022-11-23T01:37:54.4961517Z #pragma GCC ivdep 2022-11-23T01:37:54.4961598Z for(long i0=0; i0<256; i0+=1) 2022-11-23T01:37:54.4961648Z { 2022-11-23T01:37:54.4961732Z for(long i1=0; i1<32; i1+=1) 2022-11-23T01:37:54.4961796Z { 2022-11-23T01:37:54.4961956Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (256*i0)); 2022-11-23T01:37:54.4962058Z tmp0.store(out_ptr0 + (8*i1) + (512*i0)); 2022-11-23T01:37:54.4962119Z } 2022-11-23T01:37:54.4962208Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.4962278Z for(long i1=256; i1<256; i1+=1) 2022-11-23T01:37:54.4962337Z { 2022-11-23T01:37:54.4962437Z auto tmp0 = in_ptr0[i1 + (256*i0)]; 2022-11-23T01:37:54.4962530Z out_ptr0[i1 + (512*i0)] = tmp0; 2022-11-23T01:37:54.4962592Z } 2022-11-23T01:37:54.4962655Z } 2022-11-23T01:37:54.4962716Z } 2022-11-23T01:37:54.4962805Z ''') 2022-11-23T01:37:54.4962810Z 2022-11-23T01:37:54.4962815Z 2022-11-23T01:37:54.4962903Z async_compile.wait(globals()) 2022-11-23T01:37:54.4962977Z del async_compile 2022-11-23T01:37:54.4962983Z 2022-11-23T01:37:54.4963051Z def call(args): 2022-11-23T01:37:54.4963139Z arg0_1, arg1_1, arg2_1, arg3_1 = args 2022-11-23T01:37:54.4963216Z args.clear() 2022-11-23T01:37:54.4963430Z buf0 = empty_strided((256, 1600), (1600, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4963511Z aten.mm.out(arg1_1, arg2_1, out=buf0) 2022-11-23T01:37:54.4963580Z del arg1_1 2022-11-23T01:37:54.4963644Z del arg2_1 2022-11-23T01:37:54.4963926Z buf3 = empty_strided((256, 512), (512, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4964035Z buf1 = as_strided(buf3, (256, 256), (512, 1)) # alias 2022-11-23T01:37:54.4964159Z aten.mm.out(as_strided(buf0, (256, 100), (1600, 1)), arg3_1, out=buf1) 2022-11-23T01:37:54.4964226Z del arg3_1 2022-11-23T01:37:54.4964290Z del buf0 2022-11-23T01:37:54.4964384Z buf2 = as_strided(buf3, (256, 256), (512, 1), 256) # alias 2022-11-23T01:37:54.4964519Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:37:54.4964588Z del arg0_1 2022-11-23T01:37:54.4964658Z return (buf3, ) 2022-11-23T01:37:54.4964664Z 2022-11-23T01:37:54.4964724Z 2022-11-23T01:37:54.4964801Z if __name__ == "__main__": 2022-11-23T01:37:54.4964919Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.4965043Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.4965242Z arg0_1 = rand_strided((256, 256), (256, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4965456Z arg1_1 = rand_strided((256, 1024), (1024, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4965665Z arg2_1 = rand_strided((1024, 1600), (1600, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4965867Z arg3_1 = rand_strided((100, 256), (256, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4965998Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1])) 2022-11-23T01:37:54.4966003Z 2022-11-23T01:37:54.4966073Z ok (1.467s) 2022-11-23T01:37:54.4966397Z test_cat_upcasting_cpu (__main__.CpuTests) ... [2022-11-23 01:30:27,076] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.4966680Z [2022-11-23 01:30:27,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.4966902Z [2022-11-23 01:30:27,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.4967148Z [2022-11-23 01:30:27,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.4967435Z [2022-11-23 01:30:27,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.4967762Z [2022-11-23 01:30:27,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.4968099Z [2022-11-23 01:30:27,077] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.4968194Z 2568 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.4968290Z 2 LOAD_ATTR 1 (cat) 2022-11-23T01:37:54.4968387Z 4 LOAD_METHOD 2 (default) 2022-11-23T01:37:54.4968480Z 6 LOAD_FAST 0 (arg4_1) 2022-11-23T01:37:54.4968558Z 8 LOAD_FAST 1 (slice_7) 2022-11-23T01:37:54.4968647Z 10 BUILD_LIST 2 2022-11-23T01:37:54.4968736Z 12 LOAD_CONST 1 (1) 2022-11-23T01:37:54.4968824Z 14 CALL_METHOD 2 2022-11-23T01:37:54.4968916Z 16 STORE_FAST 2 (cat_1) 2022-11-23T01:37:54.4968921Z 2022-11-23T01:37:54.4969009Z 2569 18 LOAD_FAST 2 (cat_1) 2022-11-23T01:37:54.4969097Z 20 BUILD_TUPLE 1 2022-11-23T01:37:54.4969172Z 22 RETURN_VALUE 2022-11-23T01:37:54.4969219Z 2022-11-23T01:37:54.4969224Z 2022-11-23T01:37:54.4969497Z [2022-11-23 01:30:27,077] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2568 2022-11-23T01:37:54.4969720Z [2022-11-23 01:30:27,077] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.4970024Z [2022-11-23 01:30:27,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cat [TorchVariable()] 2022-11-23T01:37:54.4970318Z [2022-11-23 01:30:27,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.cat)] 2022-11-23T01:37:54.4970593Z [2022-11-23 01:30:27,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg4_1 [TorchVariable(aten.cat.default)] 2022-11-23T01:37:54.4970893Z [2022-11-23 01:30:27,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_7 [TorchVariable(aten.cat.default), TensorVariable()] 2022-11-23T01:37:54.4971217Z [2022-11-23 01:30:27,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.cat.default), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4971539Z [2022-11-23 01:30:27,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.cat.default), ListVariable()] 2022-11-23T01:37:54.4971872Z [2022-11-23 01:30:27,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.cat.default), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4972110Z [2022-11-23 01:30:27,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST cat_1 [TensorVariable()] 2022-11-23T01:37:54.4972379Z [2022-11-23 01:30:27,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2569 2022-11-23T01:37:54.4972595Z [2022-11-23 01:30:27,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST cat_1 [] 2022-11-23T01:37:54.4972837Z [2022-11-23 01:30:27,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:54.4973083Z [2022-11-23 01:30:27,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.4973420Z [2022-11-23 01:30:27,085] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.4973664Z [2022-11-23 01:30:27,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.4973904Z [2022-11-23 01:30:27,086] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.4974158Z [2022-11-23 01:30:27,087] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.4974399Z [2022-11-23 01:30:27,090] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.4974591Z [2022-11-23 01:30:27,091] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.4974726Z __compiled_fn_50 .324 opcode, name, target, args, kwargs 2022-11-23T01:37:54.4974816Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.4974908Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.4975040Z call_function, cat_default, aten.cat.default, ([ex_0_, ex_1_], 1), {} 2022-11-23T01:37:54.4975145Z output, output, output, ((cat_default,),), {} 2022-11-23T01:37:54.4975150Z 2022-11-23T01:37:54.4975431Z [2022-11-23 01:30:27,091] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4975513Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.4975602Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4975694Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.4975784Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.4975860Z 8 RETURN_VALUE 2022-11-23T01:37:54.4975865Z 2022-11-23T01:37:54.4975925Z 2022-11-23T01:37:54.4976201Z [2022-11-23 01:30:27,091] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.4976311Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_50) 2022-11-23T01:37:54.4976388Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4976479Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4976555Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.4976642Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.4976758Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.4976834Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.4976923Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.4977013Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4977114Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.4977200Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:54.4977278Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.4977364Z 24 BUILD_TUPLE 1 2022-11-23T01:37:54.4977436Z 26 RETURN_VALUE 2022-11-23T01:37:54.4977470Z 2022-11-23T01:37:54.4977530Z 2022-11-23T01:37:54.4977704Z [2022-11-23 01:30:27,092] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.4977776Z - 2022-11-23T01:37:54.4977894Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.4977961Z { 2022-11-23T01:37:54.4978101Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.4978295Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.4978417Z 'obj_weakref': None 2022-11-23T01:37:54.4978630Z 'guarded_class': 2022-11-23T01:37:54.4978696Z } 2022-11-23T01:37:54.4978965Z 2022-11-23T01:37:54.4979091Z - 2022-11-23T01:37:54.4979263Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.4979327Z { 2022-11-23T01:37:54.4979473Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4979569Z 'code': None, 2022-11-23T01:37:54.4979795Z 'obj_weakref': 2022-11-23T01:37:54.4980054Z 'guarded_class': 2022-11-23T01:37:54.4980119Z } 2022-11-23T01:37:54.4980182Z 2022-11-23T01:37:54.4980254Z - 2022-11-23T01:37:54.4980385Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.4980437Z { 2022-11-23T01:37:54.4980582Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.4980691Z 'code': None, 2022-11-23T01:37:54.4980907Z 'obj_weakref': 2022-11-23T01:37:54.4981166Z 'guarded_class': 2022-11-23T01:37:54.4981233Z } 2022-11-23T01:37:54.4981296Z 2022-11-23T01:37:54.4981353Z - 2022-11-23T01:37:54.4981489Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.4981558Z { 2022-11-23T01:37:54.4981697Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.4981872Z 'code': ['___check_obj_id(model, 140539441497296)'], 2022-11-23T01:37:54.4981995Z 'obj_weakref': None 2022-11-23T01:37:54.4982229Z 'guarded_class': 2022-11-23T01:37:54.4982293Z } 2022-11-23T01:37:54.4982342Z 2022-11-23T01:37:54.4982411Z - 2022-11-23T01:37:54.4982535Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.4982600Z { 2022-11-23T01:37:54.4982738Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.4982956Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.4983063Z 'obj_weakref': None 2022-11-23T01:37:54.4983285Z 'guarded_class': 2022-11-23T01:37:54.4983350Z } 2022-11-23T01:37:54.4983411Z 2022-11-23T01:37:54.4983480Z - 2022-11-23T01:37:54.4983616Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.4983677Z { 2022-11-23T01:37:54.4983784Z 'guard_types': None, 2022-11-23T01:37:54.4983960Z 'code': None, 2022-11-23T01:37:54.4984086Z 'obj_weakref': None 2022-11-23T01:37:54.4984210Z 'guarded_class': None 2022-11-23T01:37:54.4984275Z } 2022-11-23T01:37:54.4984341Z 2022-11-23T01:37:54.4984606Z [2022-11-23 01:30:27,098] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 49 2022-11-23T01:37:54.4984967Z [2022-11-23 01:30:28,520] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/po/cpou7yhqmmxi57yre3eu327elbuz4ev3wdfp32qdz7p547eeac4b.py 2022-11-23T01:37:54.4985233Z [2022-11-23 01:30:28,520] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 49 2022-11-23T01:37:54.4985281Z 2022-11-23T01:37:54.4985378Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.4985447Z import torch 2022-11-23T01:37:54.4985517Z import random 2022-11-23T01:37:54.4985631Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.4985752Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.4985758Z 2022-11-23T01:37:54.4985835Z aten = torch.ops.aten 2022-11-23T01:37:54.4985957Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.4986047Z async_compile = AsyncCompile() 2022-11-23T01:37:54.4986052Z 2022-11-23T01:37:54.4986057Z 2022-11-23T01:37:54.4986196Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.4986403Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.4986526Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.4986632Z const half* __restrict__ in_ptr1, 2022-11-23T01:37:54.4986730Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.4986829Z float* __restrict__ out_ptr1) 2022-11-23T01:37:54.4986876Z { 2022-11-23T01:37:54.4986953Z #pragma GCC ivdep 2022-11-23T01:37:54.4987033Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:54.4987096Z { 2022-11-23T01:37:54.4987179Z for(long i1=0; i1<2; i1+=1) 2022-11-23T01:37:54.4987243Z { 2022-11-23T01:37:54.4987396Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (16*i0)); 2022-11-23T01:37:54.4987483Z tmp0.store(out_ptr0 + (8*i1) + (36*i0)); 2022-11-23T01:37:54.4987547Z } 2022-11-23T01:37:54.4987634Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.4987715Z for(long i1=16; i1<16; i1+=1) 2022-11-23T01:37:54.4987776Z { 2022-11-23T01:37:54.4987871Z auto tmp0 = in_ptr0[i1 + (16*i0)]; 2022-11-23T01:37:54.4987960Z out_ptr0[i1 + (36*i0)] = tmp0; 2022-11-23T01:37:54.4988011Z } 2022-11-23T01:37:54.4988071Z } 2022-11-23T01:37:54.4988220Z #pragma GCC ivdep 2022-11-23T01:37:54.4988306Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:54.4988367Z { 2022-11-23T01:37:54.4988442Z #pragma GCC ivdep 2022-11-23T01:37:54.4988525Z for(long i1=0; i1<20; i1+=1) 2022-11-23T01:37:54.4988577Z { 2022-11-23T01:37:54.4988640Z { 2022-11-23T01:37:54.4988704Z { 2022-11-23T01:37:54.4988825Z auto tmp0 = static_cast(in_ptr1[i1 + (20*i0)]); 2022-11-23T01:37:54.4988933Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:37:54.4989030Z out_ptr1[i1 + (36*i0)] = tmp1; 2022-11-23T01:37:54.4989094Z } 2022-11-23T01:37:54.4989145Z } 2022-11-23T01:37:54.4989207Z } 2022-11-23T01:37:54.4989268Z } 2022-11-23T01:37:54.4989326Z } 2022-11-23T01:37:54.4989410Z ''') 2022-11-23T01:37:54.4989418Z 2022-11-23T01:37:54.4989422Z 2022-11-23T01:37:54.4989512Z async_compile.wait(globals()) 2022-11-23T01:37:54.4989584Z del async_compile 2022-11-23T01:37:54.4989589Z 2022-11-23T01:37:54.4989645Z def call(args): 2022-11-23T01:37:54.4989720Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.4989792Z args.clear() 2022-11-23T01:37:54.4990030Z buf2 = empty_strided((8, 36), (36, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4990135Z buf0 = as_strided(buf2, (8, 16), (36, 1)) # alias 2022-11-23T01:37:54.4990238Z buf1 = as_strided(buf2, (8, 20), (36, 1), 16) # alias 2022-11-23T01:37:54.4990428Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:54.4990484Z del arg0_1 2022-11-23T01:37:54.4990550Z del arg1_1 2022-11-23T01:37:54.4990620Z return (buf2, ) 2022-11-23T01:37:54.4990624Z 2022-11-23T01:37:54.4990629Z 2022-11-23T01:37:54.4990703Z if __name__ == "__main__": 2022-11-23T01:37:54.4990853Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.4990979Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.4991182Z arg0_1 = rand_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.4991381Z arg1_1 = rand_strided((8, 20), (20, 1), device='cpu', dtype=torch.float16) 2022-11-23T01:37:54.4991486Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.4991491Z 2022-11-23T01:37:54.4991568Z ok (1.452s) 2022-11-23T01:37:54.4991877Z test_cauchy_cpu (__main__.CpuTests) ... [2022-11-23 01:30:28,528] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.4992150Z [2022-11-23 01:30:28,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.4992360Z [2022-11-23 01:30:28,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.4992617Z [2022-11-23 01:30:28,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.4992907Z [2022-11-23 01:30:28,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.4993236Z [2022-11-23 01:30:28,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.4993568Z [2022-11-23 01:30:28,529] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.4993665Z 2358 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.4993757Z 2 LOAD_METHOD 1 (sum) 2022-11-23T01:37:54.4993845Z 4 LOAD_CONST 1 (1) 2022-11-23T01:37:54.4993940Z 6 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.4994026Z 8 LOAD_METHOD 2 (unsqueeze) 2022-11-23T01:37:54.4994116Z 10 LOAD_FAST 0 (x) 2022-11-23T01:37:54.4994256Z 12 LOAD_CONST 2 (-1) 2022-11-23T01:37:54.4994344Z 14 CALL_METHOD 2 2022-11-23T01:37:54.4994431Z 16 LOAD_FAST 1 (y) 2022-11-23T01:37:54.4994511Z 18 BINARY_SUBTRACT 2022-11-23T01:37:54.4994596Z 20 BINARY_TRUE_DIVIDE 2022-11-23T01:37:54.4994672Z 22 CALL_METHOD 1 2022-11-23T01:37:54.4994746Z 24 RETURN_VALUE 2022-11-23T01:37:54.4994808Z 2022-11-23T01:37:54.4994813Z 2022-11-23T01:37:54.4995083Z [2022-11-23 01:30:28,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2358 2022-11-23T01:37:54.4995306Z [2022-11-23 01:30:28,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.4995670Z [2022-11-23 01:30:28,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TorchVariable()] 2022-11-23T01:37:54.4995996Z [2022-11-23 01:30:28,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable()] 2022-11-23T01:37:54.4996393Z [2022-11-23 01:30:28,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4996926Z [2022-11-23 01:30:28,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [TorchVariable(), ConstantVariable(int), TorchVariable()] 2022-11-23T01:37:54.4997402Z [2022-11-23 01:30:28,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(), ConstantVariable(int), TorchVariable()] 2022-11-23T01:37:54.4997940Z [2022-11-23 01:30:28,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(), ConstantVariable(int), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.4998485Z [2022-11-23 01:30:28,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), ConstantVariable(int), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.4998853Z [2022-11-23 01:30:28,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:37:54.4999283Z [2022-11-23 01:30:28,531] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TorchVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.4999691Z [2022-11-23 01:30:28,532] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TorchVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:37:54.5000046Z [2022-11-23 01:30:28,534] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.5000305Z [2022-11-23 01:30:28,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.5000639Z [2022-11-23 01:30:28,535] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.5000889Z [2022-11-23 01:30:28,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.5001133Z [2022-11-23 01:30:28,535] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5001392Z [2022-11-23 01:30:28,536] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5001648Z [2022-11-23 01:30:28,541] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5001843Z [2022-11-23 01:30:28,542] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5001965Z __compiled_fn_51 .330 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5002056Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5002145Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.5002400Z call_function, unsqueeze, , (ex_0_, -1), {} 2022-11-23T01:37:54.5002590Z call_function, sub, , (unsqueeze, ex_1_), {} 2022-11-23T01:37:54.5002781Z call_function, truediv, , (1, sub), {} 2022-11-23T01:37:54.5003010Z call_function, sum_1, , (truediv,), {} 2022-11-23T01:37:54.5003110Z output, output, output, ((sum_1,),), {} 2022-11-23T01:37:54.5003116Z 2022-11-23T01:37:54.5003411Z [2022-11-23 01:30:28,542] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5003508Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5003599Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5003694Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5003786Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5003863Z 8 RETURN_VALUE 2022-11-23T01:37:54.5003868Z 2022-11-23T01:37:54.5003930Z 2022-11-23T01:37:54.5004207Z [2022-11-23 01:30:28,542] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5004333Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_51) 2022-11-23T01:37:54.5004423Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5004515Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5004593Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5004685Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5004779Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.5004857Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.5004933Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.5005025Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.5005099Z 18 RETURN_VALUE 2022-11-23T01:37:54.5005104Z 2022-11-23T01:37:54.5005166Z 2022-11-23T01:37:54.5005356Z [2022-11-23 01:30:28,543] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5005431Z - 2022-11-23T01:37:54.5005554Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5005606Z { 2022-11-23T01:37:54.5005754Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5005945Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.5006070Z 'obj_weakref': None 2022-11-23T01:37:54.5006301Z 'guarded_class': 2022-11-23T01:37:54.5006370Z } 2022-11-23T01:37:54.5006434Z 2022-11-23T01:37:54.5006494Z - 2022-11-23T01:37:54.5006624Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5006686Z { 2022-11-23T01:37:54.5006832Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5006944Z 'code': None, 2022-11-23T01:37:54.5007160Z 'obj_weakref': 2022-11-23T01:37:54.5007418Z 'guarded_class': 2022-11-23T01:37:54.5007473Z } 2022-11-23T01:37:54.5007534Z 2022-11-23T01:37:54.5007603Z - 2022-11-23T01:37:54.5007730Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.5007793Z { 2022-11-23T01:37:54.5007940Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5008049Z 'code': None, 2022-11-23T01:37:54.5008253Z 'obj_weakref': 2022-11-23T01:37:54.5008505Z 'guarded_class': 2022-11-23T01:37:54.5008568Z } 2022-11-23T01:37:54.5008632Z 2022-11-23T01:37:54.5008702Z - 2022-11-23T01:37:54.5008833Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.5008899Z { 2022-11-23T01:37:54.5009023Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5009192Z 'code': ['___check_obj_id(model, 140538745894384)'], 2022-11-23T01:37:54.5009318Z 'obj_weakref': None 2022-11-23T01:37:54.5009548Z 'guarded_class': 2022-11-23T01:37:54.5009611Z } 2022-11-23T01:37:54.5009672Z 2022-11-23T01:37:54.5009743Z - 2022-11-23T01:37:54.5009854Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5009945Z { 2022-11-23T01:37:54.5010086Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5010306Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5010427Z 'obj_weakref': None 2022-11-23T01:37:54.5010646Z 'guarded_class': 2022-11-23T01:37:54.5010708Z } 2022-11-23T01:37:54.5010757Z 2022-11-23T01:37:54.5010827Z - 2022-11-23T01:37:54.5010962Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.5011067Z { 2022-11-23T01:37:54.5011193Z 'guard_types': None, 2022-11-23T01:37:54.5011302Z 'code': None, 2022-11-23T01:37:54.5011421Z 'obj_weakref': None 2022-11-23T01:37:54.5011531Z 'guarded_class': None 2022-11-23T01:37:54.5011594Z } 2022-11-23T01:37:54.5011655Z 2022-11-23T01:37:54.5011919Z [2022-11-23 01:30:28,552] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 50 2022-11-23T01:37:54.5012294Z [2022-11-23 01:30:29,949] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mq/cmqutdj3welwc45xpkgkbiv7rn6tqufcbcxsdes3zzz3fou2ll76.py 2022-11-23T01:37:54.5012561Z [2022-11-23 01:30:29,950] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 50 2022-11-23T01:37:54.5012568Z 2022-11-23T01:37:54.5012663Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5012731Z import torch 2022-11-23T01:37:54.5012787Z import random 2022-11-23T01:37:54.5012906Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5013027Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5013032Z 2022-11-23T01:37:54.5013108Z aten = torch.ops.aten 2022-11-23T01:37:54.5013241Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5013331Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5013339Z 2022-11-23T01:37:54.5013343Z 2022-11-23T01:37:54.5013478Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.5013684Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.5013792Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.5013895Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.5013994Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.5014055Z { 2022-11-23T01:37:54.5014117Z { 2022-11-23T01:37:54.5014309Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:37:54.5014386Z float tmp6 = 0; 2022-11-23T01:37:54.5014490Z auto tmp6_vec = at::vec::Vectorized(tmp6); 2022-11-23T01:37:54.5014572Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:37:54.5014633Z { 2022-11-23T01:37:54.5014715Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:37:54.5014780Z { 2022-11-23T01:37:54.5014905Z auto tmp0 = at::vec::Vectorized(in_ptr0[i0]); 2022-11-23T01:37:54.5015038Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i1); 2022-11-23T01:37:54.5015172Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:37:54.5015261Z auto tmp3 = tmp2.reciprocal(); 2022-11-23T01:37:54.5015395Z auto tmp4 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:54.5015481Z auto tmp5 = tmp3 * tmp4; 2022-11-23T01:37:54.5015560Z tmp6_vec += tmp5; 2022-11-23T01:37:54.5015628Z } 2022-11-23T01:37:54.5015821Z tmp6 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp6_vec); 2022-11-23T01:37:54.5015940Z #pragma omp simd simdlen(4) reduction(+:tmp6) 2022-11-23T01:37:54.5016027Z for(long i1=32; i1<32; i1+=1) 2022-11-23T01:37:54.5016121Z { 2022-11-23T01:37:54.5016209Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.5016293Z auto tmp1 = in_ptr1[i1]; 2022-11-23T01:37:54.5016425Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:37:54.5016507Z auto tmp3 = 1 / tmp2; 2022-11-23T01:37:54.5016611Z auto tmp4 = static_cast(1); 2022-11-23T01:37:54.5016694Z auto tmp5 = tmp3 * tmp4; 2022-11-23T01:37:54.5016756Z tmp6 += tmp5; 2022-11-23T01:37:54.5016819Z } 2022-11-23T01:37:54.5016881Z } 2022-11-23T01:37:54.5016990Z out_ptr0[0] = tmp6; 2022-11-23T01:37:54.5017051Z } 2022-11-23T01:37:54.5017111Z } 2022-11-23T01:37:54.5017178Z ''') 2022-11-23T01:37:54.5017182Z 2022-11-23T01:37:54.5017200Z 2022-11-23T01:37:54.5017276Z async_compile.wait(globals()) 2022-11-23T01:37:54.5017350Z del async_compile 2022-11-23T01:37:54.5017355Z 2022-11-23T01:37:54.5017425Z def call(args): 2022-11-23T01:37:54.5017501Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.5017572Z args.clear() 2022-11-23T01:37:54.5017762Z buf0 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5017923Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.5017978Z del arg0_1 2022-11-23T01:37:54.5018042Z del arg1_1 2022-11-23T01:37:54.5018113Z return (buf0, ) 2022-11-23T01:37:54.5018118Z 2022-11-23T01:37:54.5018122Z 2022-11-23T01:37:54.5018196Z if __name__ == "__main__": 2022-11-23T01:37:54.5018310Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5018435Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5018634Z arg0_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5018990Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5019151Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.5019161Z 2022-11-23T01:37:54.5019232Z ok (1.429s) 2022-11-23T01:37:54.5019546Z test_clamp_cpu (__main__.CpuTests) ... [2022-11-23 01:30:29,958] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5019820Z [2022-11-23 01:30:29,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5020044Z [2022-11-23 01:30:29,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5020300Z [2022-11-23 01:30:29,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.5020599Z [2022-11-23 01:30:29,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.5020928Z [2022-11-23 01:30:29,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5021260Z [2022-11-23 01:30:29,958] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.5021339Z 873 0 LOAD_FAST 0 (a) 2022-11-23T01:37:54.5021435Z 2 LOAD_METHOD 0 (clamp) 2022-11-23T01:37:54.5021578Z 4 LOAD_CONST 1 (-0.1) 2022-11-23T01:37:54.5021670Z 6 LOAD_CONST 2 (0.1) 2022-11-23T01:37:54.5021758Z 8 CALL_METHOD 2 2022-11-23T01:37:54.5021846Z 10 LOAD_FAST 1 (b) 2022-11-23T01:37:54.5021942Z 12 LOAD_METHOD 0 (clamp) 2022-11-23T01:37:54.5022017Z 14 LOAD_CONST 3 (0) 2022-11-23T01:37:54.5022103Z 16 CALL_METHOD 1 2022-11-23T01:37:54.5022195Z 18 LOAD_GLOBAL 1 (torch) 2022-11-23T01:37:54.5022281Z 20 LOAD_ATTR 0 (clamp) 2022-11-23T01:37:54.5022464Z 22 LOAD_FAST 0 (a) 2022-11-23T01:37:54.5022553Z 24 LOAD_FAST 1 (b) 2022-11-23T01:37:54.5022632Z 26 BINARY_ADD 2022-11-23T01:37:54.5022706Z 28 LOAD_CONST 3 (0) 2022-11-23T01:37:54.5022853Z 30 LOAD_CONST 4 (('max',)) 2022-11-23T01:37:54.5022945Z 32 CALL_FUNCTION_KW 2 2022-11-23T01:37:54.5023032Z 34 BUILD_TUPLE 3 2022-11-23T01:37:54.5023108Z 36 RETURN_VALUE 2022-11-23T01:37:54.5023168Z 2022-11-23T01:37:54.5023174Z 2022-11-23T01:37:54.5023491Z [2022-11-23 01:30:29,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:873 2022-11-23T01:37:54.5023706Z [2022-11-23 01:30:29,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:54.5023942Z [2022-11-23 01:30:29,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clamp [TensorVariable()] 2022-11-23T01:37:54.5024232Z [2022-11-23 01:30:29,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -0.1 [GetAttrVariable(TensorVariable(), clamp)] 2022-11-23T01:37:54.5024554Z [2022-11-23 01:30:29,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.1 [GetAttrVariable(TensorVariable(), clamp), ConstantVariable(float)] 2022-11-23T01:37:54.5024922Z [2022-11-23 01:30:29,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [GetAttrVariable(TensorVariable(), clamp), ConstantVariable(float), ConstantVariable(float)] 2022-11-23T01:37:54.5025162Z [2022-11-23 01:30:29,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:54.5025441Z [2022-11-23 01:30:29,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clamp [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.5025747Z [2022-11-23 01:30:29,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), GetAttrVariable(TensorVariable(), clamp)] 2022-11-23T01:37:54.5026098Z [2022-11-23 01:30:29,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), clamp), ConstantVariable(int)] 2022-11-23T01:37:54.5026374Z [2022-11-23 01:30:29,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.5026804Z [2022-11-23 01:30:29,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clamp [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.5027185Z [2022-11-23 01:30:29,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.5027582Z [2022-11-23 01:30:29,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.5028026Z [2022-11-23 01:30:29,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.5028531Z [2022-11-23 01:30:29,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.5028986Z [2022-11-23 01:30:29,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('max',) [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.5029529Z [2022-11-23 01:30:29,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)] 2022-11-23T01:37:54.5029836Z [2022-11-23 01:30:29,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.5030089Z [2022-11-23 01:30:29,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.5030422Z [2022-11-23 01:30:29,970] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.5030672Z [2022-11-23 01:30:29,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.5030944Z [2022-11-23 01:30:29,970] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5031202Z [2022-11-23 01:30:29,971] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5031457Z [2022-11-23 01:30:29,978] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5031636Z [2022-11-23 01:30:29,978] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5031773Z __compiled_fn_52 .336 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5031863Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5031947Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.5032102Z call_method, clamp, clamp, (ex_0_, -0.1, 0.1), {} 2022-11-23T01:37:54.5032203Z call_method, clamp_1, clamp, (ex_1_, 0), {} 2022-11-23T01:37:54.5032384Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.5032632Z call_function, clamp_2, , (add,), {'max': 0} 2022-11-23T01:37:54.5032739Z output, output, output, ((clamp, clamp_1, clamp_2),), {} 2022-11-23T01:37:54.5032746Z 2022-11-23T01:37:54.5033025Z [2022-11-23 01:30:29,979] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5033117Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5033205Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5033300Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5033389Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5033463Z 8 RETURN_VALUE 2022-11-23T01:37:54.5033468Z 2022-11-23T01:37:54.5033527Z 2022-11-23T01:37:54.5033789Z [2022-11-23 01:30:29,979] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5033900Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_52) 2022-11-23T01:37:54.5033990Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5034078Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5034153Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5034239Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5034327Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.5034390Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.5034477Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.5034579Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5034680Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5034767Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5034840Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.5034941Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5035016Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:54.5035093Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.5035192Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5035277Z 32 LOAD_CONST 3 (2) 2022-11-23T01:37:54.5035351Z 34 BINARY_SUBSCR 2022-11-23T01:37:54.5035436Z 36 BUILD_TUPLE 3 2022-11-23T01:37:54.5035538Z 38 RETURN_VALUE 2022-11-23T01:37:54.5035544Z 2022-11-23T01:37:54.5035603Z 2022-11-23T01:37:54.5035776Z [2022-11-23 01:30:29,980] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5035848Z - 2022-11-23T01:37:54.5035968Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5036033Z { 2022-11-23T01:37:54.5036177Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5036367Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.5036490Z 'obj_weakref': None 2022-11-23T01:37:54.5036736Z 'guarded_class': 2022-11-23T01:37:54.5036802Z } 2022-11-23T01:37:54.5036864Z 2022-11-23T01:37:54.5036933Z - 2022-11-23T01:37:54.5037061Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5037123Z { 2022-11-23T01:37:54.5037268Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5037365Z 'code': None, 2022-11-23T01:37:54.5037583Z 'obj_weakref': 2022-11-23T01:37:54.5037837Z 'guarded_class': 2022-11-23T01:37:54.5037902Z } 2022-11-23T01:37:54.5037964Z 2022-11-23T01:37:54.5038033Z - 2022-11-23T01:37:54.5038157Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.5038208Z { 2022-11-23T01:37:54.5038354Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5038466Z 'code': None, 2022-11-23T01:37:54.5038679Z 'obj_weakref': 2022-11-23T01:37:54.5038937Z 'guarded_class': 2022-11-23T01:37:54.5038999Z } 2022-11-23T01:37:54.5039062Z 2022-11-23T01:37:54.5039119Z - 2022-11-23T01:37:54.5039249Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.5039312Z { 2022-11-23T01:37:54.5039448Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5039619Z 'code': ['___check_obj_id(model, 140539203472992)'], 2022-11-23T01:37:54.5039740Z 'obj_weakref': None 2022-11-23T01:37:54.5039970Z 'guarded_class': 2022-11-23T01:37:54.5040021Z } 2022-11-23T01:37:54.5040082Z 2022-11-23T01:37:54.5040154Z - 2022-11-23T01:37:54.5040281Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5040344Z { 2022-11-23T01:37:54.5040487Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5040707Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5040816Z 'obj_weakref': None 2022-11-23T01:37:54.5041039Z 'guarded_class': 2022-11-23T01:37:54.5041103Z } 2022-11-23T01:37:54.5041166Z 2022-11-23T01:37:54.5041238Z - 2022-11-23T01:37:54.5041374Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.5041440Z { 2022-11-23T01:37:54.5041550Z 'guard_types': None, 2022-11-23T01:37:54.5041660Z 'code': None, 2022-11-23T01:37:54.5041781Z 'obj_weakref': None 2022-11-23T01:37:54.5041906Z 'guarded_class': None 2022-11-23T01:37:54.5041973Z } 2022-11-23T01:37:54.5042041Z 2022-11-23T01:37:54.5042289Z [2022-11-23 01:30:29,994] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 51 2022-11-23T01:37:54.5042698Z [2022-11-23 01:30:31,398] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lg/clgwfiniyptkqwpsax44x5cmojgblcbv2er2kfiumdztju3knumq.py 2022-11-23T01:37:54.5042969Z [2022-11-23 01:30:31,399] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 51 2022-11-23T01:37:54.5042976Z 2022-11-23T01:37:54.5043072Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5043143Z import torch 2022-11-23T01:37:54.5043214Z import random 2022-11-23T01:37:54.5043330Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5043454Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5043459Z 2022-11-23T01:37:54.5043538Z aten = torch.ops.aten 2022-11-23T01:37:54.5043660Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5043787Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5043792Z 2022-11-23T01:37:54.5043797Z 2022-11-23T01:37:54.5043940Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.5044149Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.5044274Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.5044381Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.5044483Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.5044584Z float* __restrict__ out_ptr1, 2022-11-23T01:37:54.5044666Z float* __restrict__ out_ptr2) 2022-11-23T01:37:54.5044729Z { 2022-11-23T01:37:54.5044810Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:54.5044874Z { 2022-11-23T01:37:54.5045016Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:54.5045150Z auto tmp5 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:54.5045375Z auto tmp1 = at::vec::Vectorized(static_cast(-0.10000000149011612)); 2022-11-23T01:37:54.5045469Z auto tmp2 = at::vec::maximum(tmp0, tmp1); 2022-11-23T01:37:54.5045611Z auto tmp3 = at::vec::Vectorized(static_cast(0.10000000149011612)); 2022-11-23T01:37:54.5045718Z auto tmp4 = at::vec::minimum(tmp2, tmp3); 2022-11-23T01:37:54.5045851Z auto tmp6 = at::vec::Vectorized(static_cast(0.0)); 2022-11-23T01:37:54.5045954Z auto tmp7 = at::vec::maximum(tmp5, tmp6); 2022-11-23T01:37:54.5046040Z auto tmp8 = tmp0 + tmp5; 2022-11-23T01:37:54.5046145Z auto tmp9 = at::vec::minimum(tmp8, tmp6); 2022-11-23T01:37:54.5046235Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.5046307Z tmp7.store(out_ptr1 + 8*i0); 2022-11-23T01:37:54.5046389Z tmp9.store(out_ptr2 + 8*i0); 2022-11-23T01:37:54.5046453Z } 2022-11-23T01:37:54.5046544Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.5046626Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:37:54.5046689Z { 2022-11-23T01:37:54.5046770Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.5046838Z auto tmp5 = in_ptr1[i0]; 2022-11-23T01:37:54.5047010Z auto tmp1 = static_cast(-0.10000000149011612); 2022-11-23T01:37:54.5047110Z auto tmp2 = std::max(tmp0, tmp1); 2022-11-23T01:37:54.5047225Z auto tmp3 = static_cast(0.10000000149011612); 2022-11-23T01:37:54.5047318Z auto tmp4 = std::min(tmp2, tmp3); 2022-11-23T01:37:54.5047416Z auto tmp6 = static_cast(0.0); 2022-11-23T01:37:54.5047511Z auto tmp7 = std::max(tmp5, tmp6); 2022-11-23T01:37:54.5047583Z auto tmp8 = tmp0 + tmp5; 2022-11-23T01:37:54.5047671Z auto tmp9 = std::min(tmp8, tmp6); 2022-11-23T01:37:54.5047751Z out_ptr0[i0] = tmp4; 2022-11-23T01:37:54.5047826Z out_ptr1[i0] = tmp7; 2022-11-23T01:37:54.5047908Z out_ptr2[i0] = tmp9; 2022-11-23T01:37:54.5047968Z } 2022-11-23T01:37:54.5048029Z } 2022-11-23T01:37:54.5048095Z ''') 2022-11-23T01:37:54.5048100Z 2022-11-23T01:37:54.5048117Z 2022-11-23T01:37:54.5048194Z async_compile.wait(globals()) 2022-11-23T01:37:54.5048265Z del async_compile 2022-11-23T01:37:54.5048270Z 2022-11-23T01:37:54.5048337Z def call(args): 2022-11-23T01:37:54.5048442Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.5048517Z args.clear() 2022-11-23T01:37:54.5048717Z buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5048914Z buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5049094Z buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5049306Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:37:54.5049376Z del arg0_1 2022-11-23T01:37:54.5049475Z del arg1_1 2022-11-23T01:37:54.5049557Z return (buf0, buf1, buf2, ) 2022-11-23T01:37:54.5049562Z 2022-11-23T01:37:54.5049566Z 2022-11-23T01:37:54.5049642Z if __name__ == "__main__": 2022-11-23T01:37:54.5049757Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5049879Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5050066Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5050262Z arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5050376Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.5050381Z 2022-11-23T01:37:54.5050447Z ok (1.449s) 2022-11-23T01:37:54.5050751Z test_clone_cpu (__main__.CpuTests) ... [2022-11-23 01:30:31,406] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5051025Z [2022-11-23 01:30:31,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5051249Z [2022-11-23 01:30:31,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5051508Z [2022-11-23 01:30:31,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.5051789Z [2022-11-23 01:30:31,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.5052114Z [2022-11-23 01:30:31,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5052445Z [2022-11-23 01:30:31,407] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.5052542Z 2448 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.5052634Z 2 LOAD_METHOD 1 (clone) 2022-11-23T01:37:54.5052726Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:54.5052816Z 6 CALL_METHOD 1 2022-11-23T01:37:54.5052906Z 8 LOAD_CONST 1 (2) 2022-11-23T01:37:54.5052979Z 10 BINARY_ADD 2022-11-23T01:37:54.5053060Z 12 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.5053154Z 14 LOAD_METHOD 1 (clone) 2022-11-23T01:37:54.5053242Z 16 LOAD_FAST 0 (x) 2022-11-23T01:37:54.5053332Z 18 LOAD_CONST 2 (1) 2022-11-23T01:37:54.5053403Z 20 BINARY_ADD 2022-11-23T01:37:54.5053489Z 22 CALL_METHOD 1 2022-11-23T01:37:54.5053576Z 24 BUILD_TUPLE 2 2022-11-23T01:37:54.5053639Z 26 RETURN_VALUE 2022-11-23T01:37:54.5053697Z 2022-11-23T01:37:54.5053702Z 2022-11-23T01:37:54.5053974Z [2022-11-23 01:30:31,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2448 2022-11-23T01:37:54.5054195Z [2022-11-23 01:30:31,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.5054508Z [2022-11-23 01:30:31,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TorchVariable()] 2022-11-23T01:37:54.5054790Z [2022-11-23 01:30:31,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.clone)] 2022-11-23T01:37:54.5055083Z [2022-11-23 01:30:31,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.clone), TensorVariable()] 2022-11-23T01:37:54.5055323Z [2022-11-23 01:30:31,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:37:54.5055604Z [2022-11-23 01:30:31,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.5055839Z [2022-11-23 01:30:31,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:54.5056226Z [2022-11-23 01:30:31,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.5056507Z [2022-11-23 01:30:31,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.clone)] 2022-11-23T01:37:54.5056820Z [2022-11-23 01:30:31,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.clone), TensorVariable()] 2022-11-23T01:37:54.5057174Z [2022-11-23 01:30:31,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.clone), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.5057493Z [2022-11-23 01:30:31,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.clone), TensorVariable()] 2022-11-23T01:37:54.5057761Z [2022-11-23 01:30:31,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.5058013Z [2022-11-23 01:30:31,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.5058350Z [2022-11-23 01:30:31,423] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.5058596Z [2022-11-23 01:30:31,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.5059015Z [2022-11-23 01:30:31,423] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5059295Z [2022-11-23 01:30:31,425] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5059547Z [2022-11-23 01:30:31,429] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5059740Z [2022-11-23 01:30:31,429] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5059876Z __compiled_fn_53 .342 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5059966Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5060075Z call_function, clone, aten.clone, (ex_0_,), {} 2022-11-23T01:37:54.5060254Z call_function, add, , (clone, 2), {} 2022-11-23T01:37:54.5060420Z call_function, add_1, , (ex_0_, 1), {} 2022-11-23T01:37:54.5060527Z call_function, clone_1, aten.clone, (add_1,), {} 2022-11-23T01:37:54.5060631Z output, output, output, ((add, clone_1),), {} 2022-11-23T01:37:54.5060636Z 2022-11-23T01:37:54.5060918Z [2022-11-23 01:30:31,430] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5061012Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5061102Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5061193Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5061287Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5061350Z 8 RETURN_VALUE 2022-11-23T01:37:54.5061356Z 2022-11-23T01:37:54.5061413Z 2022-11-23T01:37:54.5061690Z [2022-11-23 01:30:31,430] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5061851Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_53) 2022-11-23T01:37:54.5061946Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5062034Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5062110Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5062185Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5062288Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5062387Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5062475Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5062590Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.5062690Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5062778Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:54.5062853Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.5062927Z 24 BUILD_TUPLE 2 2022-11-23T01:37:54.5063002Z 26 RETURN_VALUE 2022-11-23T01:37:54.5063009Z 2022-11-23T01:37:54.5063069Z 2022-11-23T01:37:54.5063258Z [2022-11-23 01:30:31,431] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5063332Z - 2022-11-23T01:37:54.5063453Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5063517Z { 2022-11-23T01:37:54.5063644Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5063833Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5063956Z 'obj_weakref': None 2022-11-23T01:37:54.5064181Z 'guarded_class': 2022-11-23T01:37:54.5064249Z } 2022-11-23T01:37:54.5064311Z 2022-11-23T01:37:54.5064382Z - 2022-11-23T01:37:54.5064495Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5064557Z { 2022-11-23T01:37:54.5064701Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5064815Z 'code': None, 2022-11-23T01:37:54.5065031Z 'obj_weakref': 2022-11-23T01:37:54.5065287Z 'guarded_class': 2022-11-23T01:37:54.5065349Z } 2022-11-23T01:37:54.5065398Z 2022-11-23T01:37:54.5065467Z - 2022-11-23T01:37:54.5065598Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.5065660Z { 2022-11-23T01:37:54.5065795Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5065966Z 'code': ['___check_obj_id(model, 140539098193504)'], 2022-11-23T01:37:54.5066089Z 'obj_weakref': None 2022-11-23T01:37:54.5066306Z 'guarded_class': 2022-11-23T01:37:54.5066368Z } 2022-11-23T01:37:54.5066429Z 2022-11-23T01:37:54.5066499Z - 2022-11-23T01:37:54.5066623Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5066687Z { 2022-11-23T01:37:54.5066824Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5067027Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5067148Z 'obj_weakref': None 2022-11-23T01:37:54.5067367Z 'guarded_class': 2022-11-23T01:37:54.5067430Z } 2022-11-23T01:37:54.5067491Z 2022-11-23T01:37:54.5067561Z - 2022-11-23T01:37:54.5067694Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.5067747Z { 2022-11-23T01:37:54.5067867Z 'guard_types': None, 2022-11-23T01:37:54.5067975Z 'code': None, 2022-11-23T01:37:54.5068171Z 'obj_weakref': None 2022-11-23T01:37:54.5068308Z 'guarded_class': None 2022-11-23T01:37:54.5068371Z } 2022-11-23T01:37:54.5068465Z 2022-11-23T01:37:54.5068730Z [2022-11-23 01:30:31,438] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 52 2022-11-23T01:37:54.5069099Z [2022-11-23 01:30:32,828] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7f/c7f4tcofkqcs445gfhg632qcaeyqx4plvicrzdoj2d2mxclwmm6b.py 2022-11-23T01:37:54.5069367Z [2022-11-23 01:30:32,828] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 52 2022-11-23T01:37:54.5069373Z 2022-11-23T01:37:54.5069465Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5069533Z import torch 2022-11-23T01:37:54.5069634Z import random 2022-11-23T01:37:54.5069747Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5069855Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5069874Z 2022-11-23T01:37:54.5069938Z aten = torch.ops.aten 2022-11-23T01:37:54.5070073Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5070166Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5070171Z 2022-11-23T01:37:54.5070175Z 2022-11-23T01:37:54.5070315Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.5070524Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.5070644Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.5070746Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.5070844Z float* __restrict__ out_ptr1) 2022-11-23T01:37:54.5070891Z { 2022-11-23T01:37:54.5070972Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:37:54.5071036Z { 2022-11-23T01:37:54.5071174Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:54.5071306Z auto tmp1 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:37:54.5071389Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.5071515Z auto tmp3 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:54.5071587Z auto tmp4 = tmp0 + tmp3; 2022-11-23T01:37:54.5071675Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.5071759Z tmp4.store(out_ptr1 + 8*i0); 2022-11-23T01:37:54.5071819Z } 2022-11-23T01:37:54.5071904Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.5071986Z for(long i0=256; i0<256; i0+=1) 2022-11-23T01:37:54.5072044Z { 2022-11-23T01:37:54.5072112Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.5072209Z auto tmp1 = static_cast(2); 2022-11-23T01:37:54.5072290Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.5072384Z auto tmp3 = static_cast(1); 2022-11-23T01:37:54.5072466Z auto tmp4 = tmp0 + tmp3; 2022-11-23T01:37:54.5072543Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:54.5072617Z out_ptr1[i0] = tmp4; 2022-11-23T01:37:54.5072664Z } 2022-11-23T01:37:54.5072721Z } 2022-11-23T01:37:54.5072799Z ''') 2022-11-23T01:37:54.5072804Z 2022-11-23T01:37:54.5072808Z 2022-11-23T01:37:54.5072899Z async_compile.wait(globals()) 2022-11-23T01:37:54.5072969Z del async_compile 2022-11-23T01:37:54.5072974Z 2022-11-23T01:37:54.5073044Z def call(args): 2022-11-23T01:37:54.5073112Z arg0_1, = args 2022-11-23T01:37:54.5073170Z args.clear() 2022-11-23T01:37:54.5073373Z buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5073574Z buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5073743Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:54.5073814Z del arg0_1 2022-11-23T01:37:54.5073890Z return (buf0, buf1, ) 2022-11-23T01:37:54.5073895Z 2022-11-23T01:37:54.5073899Z 2022-11-23T01:37:54.5073974Z if __name__ == "__main__": 2022-11-23T01:37:54.5074086Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5074198Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5074431Z arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5074542Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.5074547Z 2022-11-23T01:37:54.5074613Z ok (1.429s) 2022-11-23T01:37:54.5074934Z test_constant_pad_1d_cpu (__main__.CpuTests) ... [2022-11-23 01:30:32,836] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5075207Z [2022-11-23 01:30:32,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5075430Z [2022-11-23 01:30:32,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5075721Z [2022-11-23 01:30:32,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.5075997Z [2022-11-23 01:30:32,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.5076325Z [2022-11-23 01:30:32,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5076656Z [2022-11-23 01:30:32,836] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.5076752Z 3118 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.5076858Z 2 LOAD_METHOD 1 (constant_pad_nd) 2022-11-23T01:37:54.5076948Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.5077035Z 6 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5077125Z 8 LOAD_CONST 2 (1) 2022-11-23T01:37:54.5077211Z 10 BUILD_LIST 2 2022-11-23T01:37:54.5077288Z 12 LOAD_CONST 3 (6.0) 2022-11-23T01:37:54.5077375Z 14 CALL_METHOD 3 2022-11-23T01:37:54.5077380Z 2022-11-23T01:37:54.5077475Z 3119 16 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.5077579Z 18 LOAD_METHOD 1 (constant_pad_nd) 2022-11-23T01:37:54.5077667Z 20 LOAD_FAST 0 (a) 2022-11-23T01:37:54.5077752Z 22 LOAD_CONST 4 (2) 2022-11-23T01:37:54.5077838Z 24 LOAD_CONST 5 (3) 2022-11-23T01:37:54.5077912Z 26 BUILD_LIST 2 2022-11-23T01:37:54.5078002Z 28 LOAD_CONST 6 (99.0) 2022-11-23T01:37:54.5078090Z 30 CALL_METHOD 3 2022-11-23T01:37:54.5078176Z 32 BUILD_TUPLE 2 2022-11-23T01:37:54.5078253Z 34 RETURN_VALUE 2022-11-23T01:37:54.5078312Z 2022-11-23T01:37:54.5078317Z 2022-11-23T01:37:54.5078592Z [2022-11-23 01:30:32,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3118 2022-11-23T01:37:54.5078814Z [2022-11-23 01:30:32,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.5079129Z [2022-11-23 01:30:32,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TorchVariable()] 2022-11-23T01:37:54.5079397Z [2022-11-23 01:30:32,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.constant_pad_nd)] 2022-11-23T01:37:54.5079700Z [2022-11-23 01:30:32,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.constant_pad_nd), TensorVariable()] 2022-11-23T01:37:54.5080038Z [2022-11-23 01:30:32,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.5080415Z [2022-11-23 01:30:32,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.5080773Z [2022-11-23 01:30:32,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6.0 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()] 2022-11-23T01:37:54.5081149Z [2022-11-23 01:30:32,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)] 2022-11-23T01:37:54.5081421Z [2022-11-23 01:30:32,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3119 2022-11-23T01:37:54.5081672Z [2022-11-23 01:30:32,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:54.5082029Z [2022-11-23 01:30:32,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.5082362Z [2022-11-23 01:30:32,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.constant_pad_nd)] 2022-11-23T01:37:54.5082677Z [2022-11-23 01:30:32,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable()] 2022-11-23T01:37:54.5083042Z [2022-11-23 01:30:32,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.5083448Z [2022-11-23 01:30:32,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.5083802Z [2022-11-23 01:30:32,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 99.0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()] 2022-11-23T01:37:54.5084205Z [2022-11-23 01:30:32,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)] 2022-11-23T01:37:54.5084482Z [2022-11-23 01:30:32,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.5084732Z [2022-11-23 01:30:32,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.5085070Z [2022-11-23 01:30:32,852] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.5085320Z [2022-11-23 01:30:32,852] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.5085563Z [2022-11-23 01:30:32,852] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5085821Z [2022-11-23 01:30:32,853] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5086061Z [2022-11-23 01:30:32,857] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5086257Z [2022-11-23 01:30:32,857] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5086394Z __compiled_fn_54 .348 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5086487Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5086628Z call_function, constant_pad_nd, aten.constant_pad_nd, (ex_0_, [0, 1], 6.0), {} 2022-11-23T01:37:54.5086769Z call_function, constant_pad_nd_1, aten.constant_pad_nd, (ex_0_, [2, 3], 99.0), {} 2022-11-23T01:37:54.5086903Z output, output, output, ((constant_pad_nd, constant_pad_nd_1),), {} 2022-11-23T01:37:54.5086908Z 2022-11-23T01:37:54.5087192Z [2022-11-23 01:30:32,857] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5087288Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5087367Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5087459Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5087578Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5087659Z 8 RETURN_VALUE 2022-11-23T01:37:54.5087664Z 2022-11-23T01:37:54.5087726Z 2022-11-23T01:37:54.5088002Z [2022-11-23 01:30:32,858] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5088113Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_54) 2022-11-23T01:37:54.5088189Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5088283Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5088361Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5088483Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5088589Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5088691Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5088781Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5088844Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.5088950Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5089037Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:54.5089114Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.5089203Z 24 BUILD_TUPLE 2 2022-11-23T01:37:54.5089276Z 26 RETURN_VALUE 2022-11-23T01:37:54.5089281Z 2022-11-23T01:37:54.5089343Z 2022-11-23T01:37:54.5089531Z [2022-11-23 01:30:32,858] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5089593Z - 2022-11-23T01:37:54.5089714Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5089780Z { 2022-11-23T01:37:54.5089923Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5090112Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5090237Z 'obj_weakref': None 2022-11-23T01:37:54.5090465Z 'guarded_class': 2022-11-23T01:37:54.5090520Z } 2022-11-23T01:37:54.5090585Z 2022-11-23T01:37:54.5090655Z - 2022-11-23T01:37:54.5090781Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5090843Z { 2022-11-23T01:37:54.5090987Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5091084Z 'code': None, 2022-11-23T01:37:54.5091300Z 'obj_weakref': 2022-11-23T01:37:54.5091554Z 'guarded_class': 2022-11-23T01:37:54.5091620Z } 2022-11-23T01:37:54.5091682Z 2022-11-23T01:37:54.5091756Z - 2022-11-23T01:37:54.5091889Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.5091950Z { 2022-11-23T01:37:54.5092073Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5092246Z 'code': ['___check_obj_id(model, 140538744433696)'], 2022-11-23T01:37:54.5092370Z 'obj_weakref': None 2022-11-23T01:37:54.5092605Z 'guarded_class': 2022-11-23T01:37:54.5092668Z } 2022-11-23T01:37:54.5092729Z 2022-11-23T01:37:54.5092798Z - 2022-11-23T01:37:54.5092908Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5092970Z { 2022-11-23T01:37:54.5093108Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5093327Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5093448Z 'obj_weakref': None 2022-11-23T01:37:54.5093672Z 'guarded_class': 2022-11-23T01:37:54.5093735Z } 2022-11-23T01:37:54.5093783Z 2022-11-23T01:37:54.5093852Z - 2022-11-23T01:37:54.5093985Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.5094077Z { 2022-11-23T01:37:54.5094202Z 'guard_types': None, 2022-11-23T01:37:54.5094312Z 'code': None, 2022-11-23T01:37:54.5094418Z 'obj_weakref': None 2022-11-23T01:37:54.5094540Z 'guarded_class': None 2022-11-23T01:37:54.5094604Z } 2022-11-23T01:37:54.5094665Z 2022-11-23T01:37:54.5094926Z [2022-11-23 01:30:32,864] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 53 2022-11-23T01:37:54.5095299Z [2022-11-23 01:30:34,277] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rw/crworaixqxzwmjd65jjtwil5jqvi6rxphnikqumnx7syyiexpal3.py 2022-11-23T01:37:54.5095601Z [2022-11-23 01:30:34,277] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 53 2022-11-23T01:37:54.5095607Z 2022-11-23T01:37:54.5095698Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5095755Z import torch 2022-11-23T01:37:54.5095822Z import random 2022-11-23T01:37:54.5095938Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5096060Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5096065Z 2022-11-23T01:37:54.5096143Z aten = torch.ops.aten 2022-11-23T01:37:54.5096277Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5096370Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5096375Z 2022-11-23T01:37:54.5096380Z 2022-11-23T01:37:54.5096513Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.5096705Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.5096829Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.5096927Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.5097023Z float* __restrict__ out_ptr1) 2022-11-23T01:37:54.5097084Z { 2022-11-23T01:37:54.5097160Z #pragma GCC ivdep 2022-11-23T01:37:54.5097243Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:37:54.5097291Z { 2022-11-23T01:37:54.5097368Z #pragma GCC ivdep 2022-11-23T01:37:54.5097448Z for(long i1=0; i1<32; i1+=1) 2022-11-23T01:37:54.5097509Z { 2022-11-23T01:37:54.5097572Z { 2022-11-23T01:37:54.5097635Z { 2022-11-23T01:37:54.5097739Z auto tmp0 = static_cast(i1); 2022-11-23T01:37:54.5097828Z auto tmp1 = static_cast(31); 2022-11-23T01:37:54.5097917Z auto tmp2 = tmp0 < tmp1; 2022-11-23T01:37:54.5097999Z float tmp3 = 6.0; 2022-11-23T01:37:54.5098071Z if(tmp2) 2022-11-23T01:37:54.5098137Z { 2022-11-23T01:37:54.5098239Z auto tmp4 = in_ptr0[i1 + (31*i0)]; 2022-11-23T01:37:54.5098315Z tmp3 = tmp4; 2022-11-23T01:37:54.5098368Z } 2022-11-23T01:37:54.5098459Z out_ptr0[i1 + (32*i0)] = tmp3; 2022-11-23T01:37:54.5098524Z } 2022-11-23T01:37:54.5098587Z } 2022-11-23T01:37:54.5098649Z } 2022-11-23T01:37:54.5098709Z } 2022-11-23T01:37:54.5098950Z #pragma GCC ivdep 2022-11-23T01:37:54.5099072Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:37:54.5099149Z { 2022-11-23T01:37:54.5099229Z #pragma GCC ivdep 2022-11-23T01:37:54.5099315Z for(long i1=0; i1<36; i1+=1) 2022-11-23T01:37:54.5099380Z { 2022-11-23T01:37:54.5099442Z { 2022-11-23T01:37:54.5099494Z { 2022-11-23T01:37:54.5099667Z auto tmp0 = static_cast((-2) + i1); 2022-11-23T01:37:54.5099771Z auto tmp1 = static_cast(0); 2022-11-23T01:37:54.5099863Z auto tmp2 = tmp0 >= tmp1; 2022-11-23T01:37:54.5099964Z auto tmp3 = static_cast(31); 2022-11-23T01:37:54.5100056Z auto tmp4 = tmp0 < tmp3; 2022-11-23T01:37:54.5100149Z auto tmp5 = tmp2 & tmp4; 2022-11-23T01:37:54.5100280Z float tmp6 = 99.0; 2022-11-23T01:37:54.5100354Z if(tmp5) 2022-11-23T01:37:54.5100419Z { 2022-11-23T01:37:54.5100589Z auto tmp7 = in_ptr0[(-2) + i1 + (31*i0)]; 2022-11-23T01:37:54.5100668Z tmp6 = tmp7; 2022-11-23T01:37:54.5100733Z } 2022-11-23T01:37:54.5100825Z out_ptr1[i1 + (36*i0)] = tmp6; 2022-11-23T01:37:54.5100876Z } 2022-11-23T01:37:54.5100938Z } 2022-11-23T01:37:54.5100999Z } 2022-11-23T01:37:54.5101119Z } 2022-11-23T01:37:54.5101178Z } 2022-11-23T01:37:54.5101260Z ''') 2022-11-23T01:37:54.5101267Z 2022-11-23T01:37:54.5101272Z 2022-11-23T01:37:54.5101361Z async_compile.wait(globals()) 2022-11-23T01:37:54.5101421Z del async_compile 2022-11-23T01:37:54.5101438Z 2022-11-23T01:37:54.5101495Z def call(args): 2022-11-23T01:37:54.5101563Z arg0_1, = args 2022-11-23T01:37:54.5101636Z args.clear() 2022-11-23T01:37:54.5101850Z buf0 = empty_strided((2, 16, 32), (512, 32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5102061Z buf1 = empty_strided((2, 16, 36), (576, 36, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5102228Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:54.5102295Z del arg0_1 2022-11-23T01:37:54.5102359Z return (buf0, buf1, ) 2022-11-23T01:37:54.5102364Z 2022-11-23T01:37:54.5102369Z 2022-11-23T01:37:54.5102444Z if __name__ == "__main__": 2022-11-23T01:37:54.5102557Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5102681Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5102893Z arg0_1 = rand_strided((2, 16, 31), (496, 31, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5103002Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.5103006Z 2022-11-23T01:37:54.5103072Z ok (1.449s) 2022-11-23T01:37:54.5103393Z test_constant_pad_2d_cpu (__main__.CpuTests) ... [2022-11-23 01:30:34,285] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5103656Z [2022-11-23 01:30:34,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5103878Z [2022-11-23 01:30:34,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5104132Z [2022-11-23 01:30:34,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.5104420Z [2022-11-23 01:30:34,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.5104747Z [2022-11-23 01:30:34,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5105080Z [2022-11-23 01:30:34,285] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.5105175Z 3127 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.5105281Z 2 LOAD_METHOD 1 (constant_pad_nd) 2022-11-23T01:37:54.5105371Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.5105448Z 6 LOAD_CONST 1 (1) 2022-11-23T01:37:54.5105534Z 8 LOAD_CONST 1 (1) 2022-11-23T01:37:54.5105619Z 10 LOAD_CONST 1 (1) 2022-11-23T01:37:54.5105704Z 12 LOAD_CONST 1 (1) 2022-11-23T01:37:54.5105795Z 14 BUILD_LIST 4 2022-11-23T01:37:54.5105885Z 16 LOAD_CONST 2 (6.0) 2022-11-23T01:37:54.5105972Z 18 CALL_METHOD 3 2022-11-23T01:37:54.5105977Z 2022-11-23T01:37:54.5106056Z 3128 20 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.5106192Z 22 LOAD_METHOD 1 (constant_pad_nd) 2022-11-23T01:37:54.5106281Z 24 LOAD_FAST 0 (a) 2022-11-23T01:37:54.5106368Z 26 LOAD_CONST 1 (1) 2022-11-23T01:37:54.5106452Z 28 LOAD_CONST 3 (2) 2022-11-23T01:37:54.5106537Z 30 LOAD_CONST 4 (3) 2022-11-23T01:37:54.5106624Z 32 LOAD_CONST 5 (4) 2022-11-23T01:37:54.5106711Z 34 BUILD_LIST 4 2022-11-23T01:37:54.5106789Z 36 LOAD_CONST 6 (99.0) 2022-11-23T01:37:54.5106875Z 38 CALL_METHOD 3 2022-11-23T01:37:54.5106993Z 40 BUILD_TUPLE 2 2022-11-23T01:37:54.5107069Z 42 RETURN_VALUE 2022-11-23T01:37:54.5107130Z 2022-11-23T01:37:54.5107135Z 2022-11-23T01:37:54.5107409Z [2022-11-23 01:30:34,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3127 2022-11-23T01:37:54.5107635Z [2022-11-23 01:30:34,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.5107963Z [2022-11-23 01:30:34,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TorchVariable()] 2022-11-23T01:37:54.5108328Z [2022-11-23 01:30:34,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.constant_pad_nd)] 2022-11-23T01:37:54.5108638Z [2022-11-23 01:30:34,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.constant_pad_nd), TensorVariable()] 2022-11-23T01:37:54.5108978Z [2022-11-23 01:30:34,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.5109353Z [2022-11-23 01:30:34,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.5109767Z [2022-11-23 01:30:34,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.5110217Z [2022-11-23 01:30:34,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 4 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.5110551Z [2022-11-23 01:30:34,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6.0 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()] 2022-11-23T01:37:54.5110924Z [2022-11-23 01:30:34,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)] 2022-11-23T01:37:54.5111197Z [2022-11-23 01:30:34,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3128 2022-11-23T01:37:54.5111448Z [2022-11-23 01:30:34,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:54.5111799Z [2022-11-23 01:30:34,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.5112098Z [2022-11-23 01:30:34,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.constant_pad_nd)] 2022-11-23T01:37:54.5112411Z [2022-11-23 01:30:34,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable()] 2022-11-23T01:37:54.5112775Z [2022-11-23 01:30:34,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.5113213Z [2022-11-23 01:30:34,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.5113661Z [2022-11-23 01:30:34,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.5114134Z [2022-11-23 01:30:34,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 4 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.5114523Z [2022-11-23 01:30:34,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 99.0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()] 2022-11-23T01:37:54.5114926Z [2022-11-23 01:30:34,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)] 2022-11-23T01:37:54.5115201Z [2022-11-23 01:30:34,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.5115451Z [2022-11-23 01:30:34,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.5115788Z [2022-11-23 01:30:34,301] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.5116036Z [2022-11-23 01:30:34,301] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.5116281Z [2022-11-23 01:30:34,301] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5116525Z [2022-11-23 01:30:34,303] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5116780Z [2022-11-23 01:30:34,309] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5116973Z [2022-11-23 01:30:34,309] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5117110Z __compiled_fn_55 .354 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5117199Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5117342Z call_function, constant_pad_nd, aten.constant_pad_nd, (ex_0_, [1, 1, 1, 1], 6.0), {} 2022-11-23T01:37:54.5117483Z call_function, constant_pad_nd_1, aten.constant_pad_nd, (ex_0_, [1, 2, 3, 4], 99.0), {} 2022-11-23T01:37:54.5117618Z output, output, output, ((constant_pad_nd, constant_pad_nd_1),), {} 2022-11-23T01:37:54.5117625Z 2022-11-23T01:37:54.5117905Z [2022-11-23 01:30:34,310] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5117987Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5118079Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5118171Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5118260Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5118335Z 8 RETURN_VALUE 2022-11-23T01:37:54.5118340Z 2022-11-23T01:37:54.5118398Z 2022-11-23T01:37:54.5118676Z [2022-11-23 01:30:34,310] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5118770Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_55) 2022-11-23T01:37:54.5118860Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5118951Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5119026Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5119120Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5119221Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5119322Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5119438Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5119504Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.5119603Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5119689Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:54.5119764Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.5119848Z 24 BUILD_TUPLE 2 2022-11-23T01:37:54.5119922Z 26 RETURN_VALUE 2022-11-23T01:37:54.5119928Z 2022-11-23T01:37:54.5119986Z 2022-11-23T01:37:54.5120159Z [2022-11-23 01:30:34,310] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5120300Z - 2022-11-23T01:37:54.5120422Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5120485Z { 2022-11-23T01:37:54.5120627Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5120819Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5120943Z 'obj_weakref': None 2022-11-23T01:37:54.5121159Z 'guarded_class': 2022-11-23T01:37:54.5121225Z } 2022-11-23T01:37:54.5121288Z 2022-11-23T01:37:54.5121360Z - 2022-11-23T01:37:54.5121492Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5121555Z { 2022-11-23T01:37:54.5121700Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5121795Z 'code': None, 2022-11-23T01:37:54.5122011Z 'obj_weakref': 2022-11-23T01:37:54.5122273Z 'guarded_class': 2022-11-23T01:37:54.5122336Z } 2022-11-23T01:37:54.5122399Z 2022-11-23T01:37:54.5122474Z - 2022-11-23T01:37:54.5122607Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.5122657Z { 2022-11-23T01:37:54.5122794Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5122965Z 'code': ['___check_obj_id(model, 140539072861968)'], 2022-11-23T01:37:54.5123086Z 'obj_weakref': None 2022-11-23T01:37:54.5123317Z 'guarded_class': 2022-11-23T01:37:54.5123379Z } 2022-11-23T01:37:54.5123442Z 2022-11-23T01:37:54.5123499Z - 2022-11-23T01:37:54.5123622Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5123688Z { 2022-11-23T01:37:54.5123828Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5124050Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5124177Z 'obj_weakref': None 2022-11-23T01:37:54.5124400Z 'guarded_class': 2022-11-23T01:37:54.5124451Z } 2022-11-23T01:37:54.5124513Z 2022-11-23T01:37:54.5124588Z - 2022-11-23T01:37:54.5124721Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.5124786Z { 2022-11-23T01:37:54.5124909Z 'guard_types': None, 2022-11-23T01:37:54.5125021Z 'code': None, 2022-11-23T01:37:54.5125127Z 'obj_weakref': None 2022-11-23T01:37:54.5125251Z 'guarded_class': None 2022-11-23T01:37:54.5125317Z } 2022-11-23T01:37:54.5125380Z 2022-11-23T01:37:54.5125643Z [2022-11-23 01:30:34,316] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 54 2022-11-23T01:37:54.5126019Z [2022-11-23 01:30:35,910] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2a/c2ay4ulitctquwflsedyur34ion2lexb3ks724enjdo3jtrhu5qy.py 2022-11-23T01:37:54.5126290Z [2022-11-23 01:30:35,910] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 54 2022-11-23T01:37:54.5126296Z 2022-11-23T01:37:54.5126420Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5126478Z import torch 2022-11-23T01:37:54.5126551Z import random 2022-11-23T01:37:54.5126668Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5126791Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5126796Z 2022-11-23T01:37:54.5126874Z aten = torch.ops.aten 2022-11-23T01:37:54.5127011Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5127103Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5127108Z 2022-11-23T01:37:54.5127113Z 2022-11-23T01:37:54.5127236Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.5127475Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.5127596Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.5127698Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.5127798Z float* __restrict__ out_ptr1) 2022-11-23T01:37:54.5127862Z { 2022-11-23T01:37:54.5127943Z #pragma GCC ivdep 2022-11-23T01:37:54.5128012Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:54.5128075Z { 2022-11-23T01:37:54.5128152Z #pragma GCC ivdep 2022-11-23T01:37:54.5128236Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:37:54.5128302Z { 2022-11-23T01:37:54.5128367Z { 2022-11-23T01:37:54.5128432Z { 2022-11-23T01:37:54.5128588Z auto tmp0 = static_cast((-1) + i0); 2022-11-23T01:37:54.5128693Z auto tmp1 = static_cast(0); 2022-11-23T01:37:54.5128789Z auto tmp2 = tmp0 >= tmp1; 2022-11-23T01:37:54.5128895Z auto tmp3 = static_cast(8); 2022-11-23T01:37:54.5128984Z auto tmp4 = tmp0 < tmp3; 2022-11-23T01:37:54.5129151Z auto tmp5 = static_cast((-1) + i1); 2022-11-23T01:37:54.5129243Z auto tmp6 = tmp5 >= tmp1; 2022-11-23T01:37:54.5129323Z auto tmp7 = tmp5 < tmp3; 2022-11-23T01:37:54.5129414Z auto tmp8 = tmp2 & tmp4; 2022-11-23T01:37:54.5129501Z auto tmp9 = tmp8 & tmp6; 2022-11-23T01:37:54.5129591Z auto tmp10 = tmp9 & tmp7; 2022-11-23T01:37:54.5129676Z float tmp11 = 6.0; 2022-11-23T01:37:54.5129751Z if(tmp10) 2022-11-23T01:37:54.5129818Z { 2022-11-23T01:37:54.5129973Z auto tmp12 = in_ptr0[(-9) + i1 + (8*i0)]; 2022-11-23T01:37:54.5130053Z tmp11 = tmp12; 2022-11-23T01:37:54.5130120Z } 2022-11-23T01:37:54.5130214Z out_ptr0[i1 + (10*i0)] = tmp11; 2022-11-23T01:37:54.5130278Z } 2022-11-23T01:37:54.5130340Z } 2022-11-23T01:37:54.5130401Z } 2022-11-23T01:37:54.5130449Z } 2022-11-23T01:37:54.5130521Z #pragma GCC ivdep 2022-11-23T01:37:54.5130600Z for(long i0=0; i0<15; i0+=1) 2022-11-23T01:37:54.5130662Z { 2022-11-23T01:37:54.5130739Z #pragma GCC ivdep 2022-11-23T01:37:54.5130819Z for(long i1=0; i1<11; i1+=1) 2022-11-23T01:37:54.5130880Z { 2022-11-23T01:37:54.5130929Z { 2022-11-23T01:37:54.5130993Z { 2022-11-23T01:37:54.5131159Z auto tmp0 = static_cast((-3) + i0); 2022-11-23T01:37:54.5131259Z auto tmp1 = static_cast(0); 2022-11-23T01:37:54.5131350Z auto tmp2 = tmp0 >= tmp1; 2022-11-23T01:37:54.5131449Z auto tmp3 = static_cast(8); 2022-11-23T01:37:54.5131541Z auto tmp4 = tmp0 < tmp3; 2022-11-23T01:37:54.5131693Z auto tmp5 = static_cast((-1) + i1); 2022-11-23T01:37:54.5131784Z auto tmp6 = tmp5 >= tmp1; 2022-11-23T01:37:54.5131873Z auto tmp7 = tmp5 < tmp3; 2022-11-23T01:37:54.5131960Z auto tmp8 = tmp2 & tmp4; 2022-11-23T01:37:54.5132073Z auto tmp9 = tmp8 & tmp6; 2022-11-23T01:37:54.5132163Z auto tmp10 = tmp9 & tmp7; 2022-11-23T01:37:54.5132245Z float tmp11 = 99.0; 2022-11-23T01:37:54.5132306Z if(tmp10) 2022-11-23T01:37:54.5132372Z { 2022-11-23T01:37:54.5132540Z auto tmp12 = in_ptr0[(-25) + i1 + (8*i0)]; 2022-11-23T01:37:54.5132618Z tmp11 = tmp12; 2022-11-23T01:37:54.5132683Z } 2022-11-23T01:37:54.5132775Z out_ptr1[i1 + (11*i0)] = tmp11; 2022-11-23T01:37:54.5132838Z } 2022-11-23T01:37:54.5132919Z } 2022-11-23T01:37:54.5132980Z } 2022-11-23T01:37:54.5133039Z } 2022-11-23T01:37:54.5133098Z } 2022-11-23T01:37:54.5133177Z ''') 2022-11-23T01:37:54.5133182Z 2022-11-23T01:37:54.5133186Z 2022-11-23T01:37:54.5133273Z async_compile.wait(globals()) 2022-11-23T01:37:54.5133342Z del async_compile 2022-11-23T01:37:54.5133347Z 2022-11-23T01:37:54.5133406Z def call(args): 2022-11-23T01:37:54.5133474Z arg0_1, = args 2022-11-23T01:37:54.5133544Z args.clear() 2022-11-23T01:37:54.5133769Z buf0 = empty_strided((1, 1, 10, 10), (100, 100, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5133989Z buf1 = empty_strided((1, 1, 15, 11), (165, 165, 11, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5134153Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:54.5134221Z del arg0_1 2022-11-23T01:37:54.5134288Z return (buf0, buf1, ) 2022-11-23T01:37:54.5134307Z 2022-11-23T01:37:54.5134311Z 2022-11-23T01:37:54.5134374Z if __name__ == "__main__": 2022-11-23T01:37:54.5134486Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5134608Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5134823Z arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5134932Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.5134937Z 2022-11-23T01:37:54.5135003Z ok (1.633s) 2022-11-23T01:37:54.5135323Z test_constant_pad_3d_cpu (__main__.CpuTests) ... [2022-11-23 01:30:35,918] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5135601Z [2022-11-23 01:30:35,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5135809Z [2022-11-23 01:30:35,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5136063Z [2022-11-23 01:30:35,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.5136353Z [2022-11-23 01:30:35,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.5136682Z [2022-11-23 01:30:35,918] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5137012Z [2022-11-23 01:30:35,918] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.5137107Z 3138 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.5137215Z 2 LOAD_METHOD 1 (constant_pad_nd) 2022-11-23T01:37:54.5137306Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.5137396Z 6 LOAD_CONST 1 (1) 2022-11-23T01:37:54.5137471Z 8 LOAD_CONST 2 (2) 2022-11-23T01:37:54.5137560Z 10 LOAD_CONST 3 (3) 2022-11-23T01:37:54.5137644Z 12 LOAD_CONST 4 (4) 2022-11-23T01:37:54.5137730Z 14 LOAD_CONST 5 (5) 2022-11-23T01:37:54.5137814Z 16 LOAD_CONST 6 (6) 2022-11-23T01:37:54.5137900Z 18 BUILD_LIST 6 2022-11-23T01:37:54.5138020Z 20 LOAD_CONST 7 (6.0) 2022-11-23T01:37:54.5138098Z 22 CALL_METHOD 3 2022-11-23T01:37:54.5138103Z 2022-11-23T01:37:54.5138195Z 3139 24 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.5138299Z 26 LOAD_METHOD 1 (constant_pad_nd) 2022-11-23T01:37:54.5138387Z 28 LOAD_FAST 0 (a) 2022-11-23T01:37:54.5138473Z 30 LOAD_CONST 8 (0) 2022-11-23T01:37:54.5138558Z 32 LOAD_CONST 8 (0) 2022-11-23T01:37:54.5138643Z 34 LOAD_CONST 3 (3) 2022-11-23T01:37:54.5138911Z 36 LOAD_CONST 4 (4) 2022-11-23T01:37:54.5139037Z 38 LOAD_CONST 8 (0) 2022-11-23T01:37:54.5139129Z 40 LOAD_CONST 8 (0) 2022-11-23T01:37:54.5139217Z 42 BUILD_LIST 6 2022-11-23T01:37:54.5139310Z 44 LOAD_CONST 7 (6.0) 2022-11-23T01:37:54.5139397Z 46 CALL_METHOD 3 2022-11-23T01:37:54.5139487Z 48 BUILD_TUPLE 2 2022-11-23T01:37:54.5139563Z 50 RETURN_VALUE 2022-11-23T01:37:54.5139610Z 2022-11-23T01:37:54.5139615Z 2022-11-23T01:37:54.5139893Z [2022-11-23 01:30:35,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3138 2022-11-23T01:37:54.5140113Z [2022-11-23 01:30:35,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.5140440Z [2022-11-23 01:30:35,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TorchVariable()] 2022-11-23T01:37:54.5140714Z [2022-11-23 01:30:35,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.constant_pad_nd)] 2022-11-23T01:37:54.5141020Z [2022-11-23 01:30:35,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.constant_pad_nd), TensorVariable()] 2022-11-23T01:37:54.5141362Z [2022-11-23 01:30:35,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.5141733Z [2022-11-23 01:30:35,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.5142146Z [2022-11-23 01:30:35,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.5142598Z [2022-11-23 01:30:35,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.5143083Z [2022-11-23 01:30:35,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.5143603Z [2022-11-23 01:30:35,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 6 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.5143916Z [2022-11-23 01:30:35,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6.0 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()] 2022-11-23T01:37:54.5144288Z [2022-11-23 01:30:35,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)] 2022-11-23T01:37:54.5144616Z [2022-11-23 01:30:35,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3139 2022-11-23T01:37:54.5144871Z [2022-11-23 01:30:35,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:54.5145223Z [2022-11-23 01:30:35,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR constant_pad_nd [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.5145522Z [2022-11-23 01:30:35,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.constant_pad_nd)] 2022-11-23T01:37:54.5145846Z [2022-11-23 01:30:35,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable()] 2022-11-23T01:37:54.5146263Z [2022-11-23 01:30:35,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.5146669Z [2022-11-23 01:30:35,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.5147109Z [2022-11-23 01:30:35,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.5147583Z [2022-11-23 01:30:35,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.5148152Z [2022-11-23 01:30:35,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.5148726Z [2022-11-23 01:30:35,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 6 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.5149078Z [2022-11-23 01:30:35,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6.0 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable()] 2022-11-23T01:37:54.5149478Z [2022-11-23 01:30:35,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.constant_pad_nd), TensorVariable(), ListVariable(), ConstantVariable(float)] 2022-11-23T01:37:54.5149744Z [2022-11-23 01:30:35,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.5149993Z [2022-11-23 01:30:35,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.5150333Z [2022-11-23 01:30:35,935] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.5150582Z [2022-11-23 01:30:35,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.5150821Z [2022-11-23 01:30:35,935] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5151082Z [2022-11-23 01:30:35,936] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5151338Z [2022-11-23 01:30:35,940] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5151531Z [2022-11-23 01:30:35,940] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5151668Z __compiled_fn_56 .360 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5151745Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5151922Z call_function, constant_pad_nd, aten.constant_pad_nd, (ex_0_, [1, 2, 3, 4, 5, 6], 6.0), {} 2022-11-23T01:37:54.5152069Z call_function, constant_pad_nd_1, aten.constant_pad_nd, (ex_0_, [0, 0, 3, 4, 0, 0], 6.0), {} 2022-11-23T01:37:54.5152202Z output, output, output, ((constant_pad_nd, constant_pad_nd_1),), {} 2022-11-23T01:37:54.5152207Z 2022-11-23T01:37:54.5152487Z [2022-11-23 01:30:35,940] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5152581Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5152707Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5152798Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5152876Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5152950Z 8 RETURN_VALUE 2022-11-23T01:37:54.5152956Z 2022-11-23T01:37:54.5153015Z 2022-11-23T01:37:54.5153299Z [2022-11-23 01:30:35,941] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5153406Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_56) 2022-11-23T01:37:54.5153495Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5153583Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5153657Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5153734Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5153836Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5153936Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5154026Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5154102Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.5154203Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5154289Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:54.5154351Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.5154440Z 24 BUILD_TUPLE 2 2022-11-23T01:37:54.5154514Z 26 RETURN_VALUE 2022-11-23T01:37:54.5154519Z 2022-11-23T01:37:54.5154577Z 2022-11-23T01:37:54.5154763Z [2022-11-23 01:30:35,941] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5154837Z - 2022-11-23T01:37:54.5154958Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5155010Z { 2022-11-23T01:37:54.5155152Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5155341Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5155463Z 'obj_weakref': None 2022-11-23T01:37:54.5155697Z 'guarded_class': 2022-11-23T01:37:54.5155763Z } 2022-11-23T01:37:54.5155824Z 2022-11-23T01:37:54.5155882Z - 2022-11-23T01:37:54.5156008Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5156072Z { 2022-11-23T01:37:54.5156219Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5156328Z 'code': None, 2022-11-23T01:37:54.5156547Z 'obj_weakref': 2022-11-23T01:37:54.5156803Z 'guarded_class': 2022-11-23T01:37:54.5156854Z } 2022-11-23T01:37:54.5156919Z 2022-11-23T01:37:54.5156991Z - 2022-11-23T01:37:54.5157125Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.5157189Z { 2022-11-23T01:37:54.5157329Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5157502Z 'code': ['___check_obj_id(model, 140538741703168)'], 2022-11-23T01:37:54.5157612Z 'obj_weakref': None 2022-11-23T01:37:54.5157844Z 'guarded_class': 2022-11-23T01:37:54.5157907Z } 2022-11-23T01:37:54.5158003Z 2022-11-23T01:37:54.5158077Z - 2022-11-23T01:37:54.5158201Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5158263Z { 2022-11-23T01:37:54.5158388Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5158606Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5158727Z 'obj_weakref': None 2022-11-23T01:37:54.5158948Z 'guarded_class': 2022-11-23T01:37:54.5159012Z } 2022-11-23T01:37:54.5159104Z 2022-11-23T01:37:54.5159174Z - 2022-11-23T01:37:54.5159294Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.5159356Z { 2022-11-23T01:37:54.5159477Z 'guard_types': None, 2022-11-23T01:37:54.5159586Z 'code': None, 2022-11-23T01:37:54.5159706Z 'obj_weakref': None 2022-11-23T01:37:54.5159831Z 'guarded_class': None 2022-11-23T01:37:54.5159893Z } 2022-11-23T01:37:54.5159942Z 2022-11-23T01:37:54.5160201Z [2022-11-23 01:30:35,948] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 55 2022-11-23T01:37:54.5160570Z [2022-11-23 01:30:37,522] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hn/chnvucsph3dx2irnrrdbg35mw5k4f5oje4r223egwft5mc752bxu.py 2022-11-23T01:37:54.5160836Z [2022-11-23 01:30:37,523] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 55 2022-11-23T01:37:54.5160842Z 2022-11-23T01:37:54.5160937Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5161006Z import torch 2022-11-23T01:37:54.5161074Z import random 2022-11-23T01:37:54.5161187Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5161294Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5161299Z 2022-11-23T01:37:54.5161377Z aten = torch.ops.aten 2022-11-23T01:37:54.5161512Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5161604Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5161609Z 2022-11-23T01:37:54.5161613Z 2022-11-23T01:37:54.5161748Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.5161953Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.5162072Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.5162172Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.5162257Z float* __restrict__ out_ptr1) 2022-11-23T01:37:54.5162321Z { 2022-11-23T01:37:54.5162396Z #pragma GCC ivdep 2022-11-23T01:37:54.5162475Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:54.5162536Z { 2022-11-23T01:37:54.5162612Z #pragma GCC ivdep 2022-11-23T01:37:54.5162682Z for(long i1=0; i1<15; i1+=1) 2022-11-23T01:37:54.5162745Z { 2022-11-23T01:37:54.5162825Z #pragma GCC ivdep 2022-11-23T01:37:54.5162910Z for(long i2=0; i2<11; i2+=1) 2022-11-23T01:37:54.5162973Z { 2022-11-23T01:37:54.5163052Z #pragma GCC ivdep 2022-11-23T01:37:54.5163141Z for(long i3=0; i3<7; i3+=1) 2022-11-23T01:37:54.5163193Z { 2022-11-23T01:37:54.5163258Z { 2022-11-23T01:37:54.5163324Z { 2022-11-23T01:37:54.5163499Z auto tmp0 = static_cast((-5) + i1); 2022-11-23T01:37:54.5163606Z auto tmp1 = static_cast(0); 2022-11-23T01:37:54.5163703Z auto tmp2 = tmp0 >= tmp1; 2022-11-23T01:37:54.5163807Z auto tmp3 = static_cast(4); 2022-11-23T01:37:54.5163891Z auto tmp4 = tmp0 < tmp3; 2022-11-23T01:37:54.5164060Z auto tmp5 = static_cast((-3) + i2); 2022-11-23T01:37:54.5164187Z auto tmp6 = tmp5 >= tmp1; 2022-11-23T01:37:54.5164282Z auto tmp7 = tmp5 < tmp3; 2022-11-23T01:37:54.5164453Z auto tmp8 = static_cast((-1) + i3); 2022-11-23T01:37:54.5164546Z auto tmp9 = tmp8 >= tmp1; 2022-11-23T01:37:54.5164638Z auto tmp10 = tmp8 < tmp3; 2022-11-23T01:37:54.5164731Z auto tmp11 = tmp2 & tmp4; 2022-11-23T01:37:54.5164815Z auto tmp12 = tmp11 & tmp6; 2022-11-23T01:37:54.5164912Z auto tmp13 = tmp12 & tmp7; 2022-11-23T01:37:54.5165041Z auto tmp14 = tmp13 & tmp9; 2022-11-23T01:37:54.5165135Z auto tmp15 = tmp14 & tmp10; 2022-11-23T01:37:54.5165226Z float tmp16 = 6.0; 2022-11-23T01:37:54.5165304Z if(tmp15) 2022-11-23T01:37:54.5165376Z { 2022-11-23T01:37:54.5165571Z auto tmp17 = in_ptr0[(-93) + i3 + (4*i2) + (16*i1) + (64*i0)]; 2022-11-23T01:37:54.5165662Z tmp16 = tmp17; 2022-11-23T01:37:54.5165732Z } 2022-11-23T01:37:54.5165846Z out_ptr0[i3 + (7*i2) + (77*i1) + (1155*i0)] = tmp16; 2022-11-23T01:37:54.5165915Z } 2022-11-23T01:37:54.5165984Z } 2022-11-23T01:37:54.5166053Z } 2022-11-23T01:37:54.5166105Z } 2022-11-23T01:37:54.5166171Z } 2022-11-23T01:37:54.5166234Z } 2022-11-23T01:37:54.5166315Z #pragma GCC ivdep 2022-11-23T01:37:54.5166397Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:54.5166461Z { 2022-11-23T01:37:54.5166539Z #pragma GCC ivdep 2022-11-23T01:37:54.5166609Z for(long i1=0; i1<11; i1+=1) 2022-11-23T01:37:54.5166672Z { 2022-11-23T01:37:54.5166750Z #pragma GCC ivdep 2022-11-23T01:37:54.5166837Z for(long i2=0; i2<4; i2+=1) 2022-11-23T01:37:54.5166902Z { 2022-11-23T01:37:54.5166968Z { 2022-11-23T01:37:54.5167023Z { 2022-11-23T01:37:54.5167195Z auto tmp0 = static_cast((-3) + i1); 2022-11-23T01:37:54.5167301Z auto tmp1 = static_cast(0); 2022-11-23T01:37:54.5167397Z auto tmp2 = tmp0 >= tmp1; 2022-11-23T01:37:54.5167501Z auto tmp3 = static_cast(4); 2022-11-23T01:37:54.5167595Z auto tmp4 = tmp0 < tmp3; 2022-11-23T01:37:54.5167689Z auto tmp5 = tmp2 & tmp4; 2022-11-23T01:37:54.5167778Z float tmp6 = 6.0; 2022-11-23T01:37:54.5167841Z if(tmp5) 2022-11-23T01:37:54.5167912Z { 2022-11-23T01:37:54.5168099Z auto tmp7 = in_ptr0[(-12) + i2 + (4*i1) + (16*i0)]; 2022-11-23T01:37:54.5168183Z tmp6 = tmp7; 2022-11-23T01:37:54.5168256Z } 2022-11-23T01:37:54.5168359Z out_ptr1[i2 + (4*i1) + (44*i0)] = tmp6; 2022-11-23T01:37:54.5168429Z } 2022-11-23T01:37:54.5168482Z } 2022-11-23T01:37:54.5168545Z } 2022-11-23T01:37:54.5168609Z } 2022-11-23T01:37:54.5168672Z } 2022-11-23T01:37:54.5168734Z } 2022-11-23T01:37:54.5168815Z ''') 2022-11-23T01:37:54.5168820Z 2022-11-23T01:37:54.5168824Z 2022-11-23T01:37:54.5168916Z async_compile.wait(globals()) 2022-11-23T01:37:54.5168974Z del async_compile 2022-11-23T01:37:54.5168981Z 2022-11-23T01:37:54.5169053Z def call(args): 2022-11-23T01:37:54.5169124Z arg0_1, = args 2022-11-23T01:37:54.5169193Z args.clear() 2022-11-23T01:37:54.5169414Z buf0 = empty_strided((2, 15, 11, 7), (1155, 77, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5169631Z buf1 = empty_strided((2, 4, 11, 4), (176, 44, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5169831Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:54.5169890Z del arg0_1 2022-11-23T01:37:54.5169965Z return (buf0, buf1, ) 2022-11-23T01:37:54.5169970Z 2022-11-23T01:37:54.5169975Z 2022-11-23T01:37:54.5170048Z if __name__ == "__main__": 2022-11-23T01:37:54.5170161Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5170285Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5170501Z arg0_1 = rand_strided((2, 4, 4, 4), (64, 16, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5170640Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.5170645Z 2022-11-23T01:37:54.5170710Z ok (1.612s) 2022-11-23T01:37:54.5171044Z test_conv2d_backward_channels_last_cpu (__main__.CpuTests) ... [2022-11-23 01:30:37,547] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5171321Z [2022-11-23 01:30:37,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5171545Z [2022-11-23 01:30:37,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5171801Z [2022-11-23 01:30:37,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.5172089Z [2022-11-23 01:30:37,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.5172415Z [2022-11-23 01:30:37,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5172752Z [2022-11-23 01:30:37,548] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.5172848Z 1866 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.5172942Z 2 LOAD_ATTR 1 (ops) 2022-11-23T01:37:54.5173034Z 4 LOAD_ATTR 2 (aten) 2022-11-23T01:37:54.5173132Z 6 LOAD_ATTR 3 (convolution_backward) 2022-11-23T01:37:54.5173227Z 8 LOAD_METHOD 4 (default) 2022-11-23T01:37:54.5173232Z 2022-11-23T01:37:54.5173330Z 1867 10 LOAD_FAST 0 (grad_output) 2022-11-23T01:37:54.5173336Z 2022-11-23T01:37:54.5173425Z 1868 12 LOAD_FAST 1 (inp) 2022-11-23T01:37:54.5173430Z 2022-11-23T01:37:54.5173526Z 1869 14 LOAD_FAST 2 (weight) 2022-11-23T01:37:54.5173533Z 2022-11-23T01:37:54.5173622Z 1870 16 LOAD_CONST 1 (320) 2022-11-23T01:37:54.5173709Z 18 BUILD_LIST 1 2022-11-23T01:37:54.5173715Z 2022-11-23T01:37:54.5173805Z 1871 20 LOAD_CONST 2 (1) 2022-11-23T01:37:54.5173882Z 22 LOAD_CONST 2 (1) 2022-11-23T01:37:54.5173969Z 24 BUILD_LIST 2 2022-11-23T01:37:54.5173973Z 2022-11-23T01:37:54.5174058Z 1872 26 LOAD_CONST 3 (0) 2022-11-23T01:37:54.5174143Z 28 LOAD_CONST 3 (0) 2022-11-23T01:37:54.5174227Z 30 BUILD_LIST 2 2022-11-23T01:37:54.5174232Z 2022-11-23T01:37:54.5174316Z 1873 32 LOAD_CONST 2 (1) 2022-11-23T01:37:54.5174399Z 34 LOAD_CONST 2 (1) 2022-11-23T01:37:54.5174484Z 36 BUILD_LIST 2 2022-11-23T01:37:54.5174489Z 2022-11-23T01:37:54.5174581Z 1874 38 LOAD_CONST 4 (False) 2022-11-23T01:37:54.5174588Z 2022-11-23T01:37:54.5174660Z 1875 40 LOAD_CONST 3 (0) 2022-11-23T01:37:54.5174744Z 42 LOAD_CONST 3 (0) 2022-11-23T01:37:54.5174828Z 44 BUILD_LIST 2 2022-11-23T01:37:54.5174832Z 2022-11-23T01:37:54.5174915Z 1876 46 LOAD_CONST 2 (1) 2022-11-23T01:37:54.5174948Z 2022-11-23T01:37:54.5175041Z 1877 48 LOAD_CONST 5 (True) 2022-11-23T01:37:54.5175129Z 50 LOAD_CONST 5 (True) 2022-11-23T01:37:54.5175215Z 52 LOAD_CONST 5 (True) 2022-11-23T01:37:54.5175299Z 54 BUILD_LIST 3 2022-11-23T01:37:54.5175374Z 56 CALL_METHOD 11 2022-11-23T01:37:54.5175490Z 58 STORE_FAST 3 (convolution_backward_8) 2022-11-23T01:37:54.5175495Z 2022-11-23T01:37:54.5175606Z 1879 60 LOAD_FAST 3 (convolution_backward_8) 2022-11-23T01:37:54.5175713Z 62 RETURN_VALUE 2022-11-23T01:37:54.5175773Z 2022-11-23T01:37:54.5175778Z 2022-11-23T01:37:54.5176055Z [2022-11-23 01:30:37,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1866 2022-11-23T01:37:54.5176277Z [2022-11-23 01:30:37,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.5176647Z [2022-11-23 01:30:37,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:37:54.5176932Z [2022-11-23 01:30:37,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:37:54.5177265Z [2022-11-23 01:30:37,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution_backward [TorchVariable()] 2022-11-23T01:37:54.5177553Z [2022-11-23 01:30:37,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.convolution_backward)] 2022-11-23T01:37:54.5177822Z [2022-11-23 01:30:37,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1867 2022-11-23T01:37:54.5178136Z [2022-11-23 01:30:37,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST grad_output [TorchVariable(aten.convolution_backward.default)] 2022-11-23T01:37:54.5178402Z [2022-11-23 01:30:37,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1868 2022-11-23T01:37:54.5178727Z [2022-11-23 01:30:37,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST inp [TorchVariable(aten.convolution_backward.default), TensorVariable()] 2022-11-23T01:37:54.5179244Z [2022-11-23 01:30:37,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1869 2022-11-23T01:37:54.5179608Z [2022-11-23 01:30:37,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST weight [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.5179878Z [2022-11-23 01:30:37,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1870 2022-11-23T01:37:54.5180260Z [2022-11-23 01:30:37,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 320 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.5180665Z [2022-11-23 01:30:37,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.5180929Z [2022-11-23 01:30:37,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1871 2022-11-23T01:37:54.5181330Z [2022-11-23 01:30:37,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:37:54.5181776Z [2022-11-23 01:30:37,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.5182314Z [2022-11-23 01:30:37,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.5182586Z [2022-11-23 01:30:37,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1872 2022-11-23T01:37:54.5183017Z [2022-11-23 01:30:37,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:54.5183529Z [2022-11-23 01:30:37,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.5184037Z [2022-11-23 01:30:37,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.5184307Z [2022-11-23 01:30:37,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1873 2022-11-23T01:37:54.5184758Z [2022-11-23 01:30:37,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:54.5185253Z [2022-11-23 01:30:37,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.5185789Z [2022-11-23 01:30:37,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.5186058Z [2022-11-23 01:30:37,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1874 2022-11-23T01:37:54.5186545Z [2022-11-23 01:30:37,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:54.5186809Z [2022-11-23 01:30:37,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1875 2022-11-23T01:37:54.5187329Z [2022-11-23 01:30:37,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:37:54.5187868Z [2022-11-23 01:30:37,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int)] 2022-11-23T01:37:54.5188543Z [2022-11-23 01:30:37,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.5188821Z [2022-11-23 01:30:37,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1876 2022-11-23T01:37:54.5189397Z [2022-11-23 01:30:37,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable()] 2022-11-23T01:37:54.5189670Z [2022-11-23 01:30:37,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1877 2022-11-23T01:37:54.5190253Z [2022-11-23 01:30:37,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.5190931Z [2022-11-23 01:30:37,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ConstantVariable(bool)] 2022-11-23T01:37:54.5191591Z [2022-11-23 01:30:37,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(bool)] 2022-11-23T01:37:54.5192283Z [2022-11-23 01:30:37,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(bool)] 2022-11-23T01:37:54.5192897Z [2022-11-23 01:30:37,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 11 [TorchVariable(aten.convolution_backward.default), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ListVariable()] 2022-11-23T01:37:54.5193175Z [2022-11-23 01:30:37,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST convolution_backward_8 [TupleVariable()] 2022-11-23T01:37:54.5193443Z [2022-11-23 01:30:37,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1879 2022-11-23T01:37:54.5193691Z [2022-11-23 01:30:37,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convolution_backward_8 [] 2022-11-23T01:37:54.5193945Z [2022-11-23 01:30:37,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.5194276Z [2022-11-23 01:30:37,561] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.5194524Z [2022-11-23 01:30:37,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.5194762Z [2022-11-23 01:30:37,561] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5195020Z [2022-11-23 01:30:37,563] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5195259Z [2022-11-23 01:30:37,567] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5195449Z [2022-11-23 01:30:37,567] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5195586Z __compiled_fn_57 .366 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5195678Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5195763Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.5195847Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:37:54.5196101Z call_function, convolution_backward_default, aten.convolution_backward.default, (ex_0_, ex_1_, ex_2_, [320], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {} 2022-11-23T01:37:54.5196336Z call_function, getitem, , (convolution_backward_default, 0), {} 2022-11-23T01:37:54.5196557Z call_function, getitem_1, , (convolution_backward_default, 1), {} 2022-11-23T01:37:54.5196785Z call_function, getitem_2, , (convolution_backward_default, 2), {} 2022-11-23T01:37:54.5196911Z output, output, output, ((getitem, getitem_1, getitem_2),), {} 2022-11-23T01:37:54.5196918Z 2022-11-23T01:37:54.5197198Z [2022-11-23 01:30:37,568] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5197323Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5197413Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5197506Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5197595Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5197661Z 8 RETURN_VALUE 2022-11-23T01:37:54.5197666Z 2022-11-23T01:37:54.5197725Z 2022-11-23T01:37:54.5198003Z [2022-11-23 01:30:37,568] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5198110Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_57) 2022-11-23T01:37:54.5198199Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5198285Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5198360Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5198447Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5198524Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.5198597Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.5198682Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5198766Z 16 LOAD_CONST 3 (2) 2022-11-23T01:37:54.5198839Z 18 BINARY_SUBSCR 2022-11-23T01:37:54.5198925Z 20 CALL_FUNCTION 3 2022-11-23T01:37:54.5199029Z 22 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5199118Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5199206Z 26 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5199281Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.5199380Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5199466Z 32 LOAD_CONST 2 (1) 2022-11-23T01:37:54.5199539Z 34 BINARY_SUBSCR 2022-11-23T01:37:54.5199635Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5199712Z 38 LOAD_CONST 3 (2) 2022-11-23T01:37:54.5199787Z 40 BINARY_SUBSCR 2022-11-23T01:37:54.5199873Z 42 BUILD_TUPLE 3 2022-11-23T01:37:54.5199948Z 44 RETURN_VALUE 2022-11-23T01:37:54.5199953Z 2022-11-23T01:37:54.5200012Z 2022-11-23T01:37:54.5200200Z [2022-11-23 01:30:37,569] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5200273Z - 2022-11-23T01:37:54.5200383Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5200446Z { 2022-11-23T01:37:54.5200589Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5200778Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 3'], 2022-11-23T01:37:54.5200898Z 'obj_weakref': None 2022-11-23T01:37:54.5201125Z 'guarded_class': 2022-11-23T01:37:54.5201188Z } 2022-11-23T01:37:54.5201237Z 2022-11-23T01:37:54.5201310Z - 2022-11-23T01:37:54.5201436Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5201498Z { 2022-11-23T01:37:54.5201644Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5201752Z 'code': None, 2022-11-23T01:37:54.5201996Z 'obj_weakref': 2022-11-23T01:37:54.5202240Z 'guarded_class': 2022-11-23T01:37:54.5202305Z } 2022-11-23T01:37:54.5202366Z 2022-11-23T01:37:54.5202436Z - 2022-11-23T01:37:54.5202562Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.5202624Z { 2022-11-23T01:37:54.5202770Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5202866Z 'code': None, 2022-11-23T01:37:54.5203079Z 'obj_weakref': 2022-11-23T01:37:54.5203366Z 'guarded_class': 2022-11-23T01:37:54.5203433Z } 2022-11-23T01:37:54.5203493Z 2022-11-23T01:37:54.5203564Z - 2022-11-23T01:37:54.5203689Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:37:54.5203740Z { 2022-11-23T01:37:54.5203886Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5203994Z 'code': None, 2022-11-23T01:37:54.5204209Z 'obj_weakref': 2022-11-23T01:37:54.5204465Z 'guarded_class': 2022-11-23T01:37:54.5204532Z } 2022-11-23T01:37:54.5204593Z 2022-11-23T01:37:54.5204650Z - 2022-11-23T01:37:54.5204782Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.5204850Z { 2022-11-23T01:37:54.5204988Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5205159Z 'code': ['___check_obj_id(model, 140539203585232)'], 2022-11-23T01:37:54.5205282Z 'obj_weakref': None 2022-11-23T01:37:54.5205514Z 'guarded_class': 2022-11-23T01:37:54.5205566Z } 2022-11-23T01:37:54.5205629Z 2022-11-23T01:37:54.5205699Z - 2022-11-23T01:37:54.5205823Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5205886Z { 2022-11-23T01:37:54.5206023Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5206243Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5206350Z 'obj_weakref': None 2022-11-23T01:37:54.5206570Z 'guarded_class': 2022-11-23T01:37:54.5206632Z } 2022-11-23T01:37:54.5206696Z 2022-11-23T01:37:54.5206765Z - 2022-11-23T01:37:54.5206899Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.5206962Z { 2022-11-23T01:37:54.5207072Z 'guard_types': None, 2022-11-23T01:37:54.5207178Z 'code': None, 2022-11-23T01:37:54.5207298Z 'obj_weakref': None 2022-11-23T01:37:54.5207423Z 'guarded_class': None 2022-11-23T01:37:54.5207485Z } 2022-11-23T01:37:54.5207547Z 2022-11-23T01:37:54.5207808Z [2022-11-23 01:30:37,577] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 56 2022-11-23T01:37:54.5208167Z [2022-11-23 01:30:39,168] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sb/csb6h7zfnii3wwasxscki4okfiunlzz23aav3qqi6a2xwnpvxuxw.py 2022-11-23T01:37:54.5208433Z [2022-11-23 01:30:39,169] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 56 2022-11-23T01:37:54.5208441Z 2022-11-23T01:37:54.5208536Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5208604Z import torch 2022-11-23T01:37:54.5208671Z import random 2022-11-23T01:37:54.5208785Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5208905Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5208910Z 2022-11-23T01:37:54.5208988Z aten = torch.ops.aten 2022-11-23T01:37:54.5209138Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5209232Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5209237Z 2022-11-23T01:37:54.5209241Z 2022-11-23T01:37:54.5209377Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.5209582Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.5209700Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.5209804Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.5209901Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.5210030Z float* __restrict__ out_ptr1) 2022-11-23T01:37:54.5210079Z { 2022-11-23T01:37:54.5210154Z #pragma GCC ivdep 2022-11-23T01:37:54.5210234Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:54.5210294Z { 2022-11-23T01:37:54.5210372Z #pragma GCC ivdep 2022-11-23T01:37:54.5210456Z for(long i1=0; i1<320; i1+=1) 2022-11-23T01:37:54.5210517Z { 2022-11-23T01:37:54.5210582Z #pragma GCC ivdep 2022-11-23T01:37:54.5210664Z for(long i2=0; i2<64; i2+=1) 2022-11-23T01:37:54.5210728Z { 2022-11-23T01:37:54.5210791Z { 2022-11-23T01:37:54.5210856Z { 2022-11-23T01:37:54.5210966Z auto tmp0 = in_ptr0[i2 + (64*i1) + (20480*i0)]; 2022-11-23T01:37:54.5211061Z out_ptr0[i1 + (320*i2) + (20480*i0)] = tmp0; 2022-11-23T01:37:54.5211130Z } 2022-11-23T01:37:54.5211194Z } 2022-11-23T01:37:54.5211261Z } 2022-11-23T01:37:54.5211324Z } 2022-11-23T01:37:54.5211385Z } 2022-11-23T01:37:54.5211460Z #pragma GCC ivdep 2022-11-23T01:37:54.5211527Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:54.5211587Z { 2022-11-23T01:37:54.5211666Z #pragma GCC ivdep 2022-11-23T01:37:54.5211751Z for(long i1=0; i1<2048; i1+=1) 2022-11-23T01:37:54.5211815Z { 2022-11-23T01:37:54.5211893Z #pragma GCC ivdep 2022-11-23T01:37:54.5211978Z for(long i2=0; i2<64; i2+=1) 2022-11-23T01:37:54.5212027Z { 2022-11-23T01:37:54.5212092Z { 2022-11-23T01:37:54.5212158Z { 2022-11-23T01:37:54.5212270Z auto tmp0 = in_ptr1[i2 + (64*i1) + (131072*i0)]; 2022-11-23T01:37:54.5212378Z out_ptr1[i1 + (2048*i2) + (131072*i0)] = tmp0; 2022-11-23T01:37:54.5212447Z } 2022-11-23T01:37:54.5212511Z } 2022-11-23T01:37:54.5212563Z } 2022-11-23T01:37:54.5212625Z } 2022-11-23T01:37:54.5212688Z } 2022-11-23T01:37:54.5212749Z } 2022-11-23T01:37:54.5212832Z ''') 2022-11-23T01:37:54.5212837Z 2022-11-23T01:37:54.5212841Z 2022-11-23T01:37:54.5212931Z async_compile.wait(globals()) 2022-11-23T01:37:54.5213003Z del async_compile 2022-11-23T01:37:54.5213008Z 2022-11-23T01:37:54.5213065Z def call(args): 2022-11-23T01:37:54.5213152Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:54.5213224Z args.clear() 2022-11-23T01:37:54.5213455Z buf0 = empty_strided((2, 320, 8, 8), (20480, 1, 2560, 320), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5213688Z buf1 = empty_strided((2, 2048, 8, 8), (131072, 1, 16384, 2048), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5213881Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:54.5213951Z del arg0_1 2022-11-23T01:37:54.5214006Z del arg1_1 2022-11-23T01:37:54.5214175Z buf2 = aten.convolution_backward(buf0, buf1, arg2_1, [320], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]) 2022-11-23T01:37:54.5214243Z del arg2_1 2022-11-23T01:37:54.5214311Z del buf0 2022-11-23T01:37:54.5214375Z del buf1 2022-11-23T01:37:54.5214446Z buf3 = buf2[0] 2022-11-23T01:37:54.5214591Z assert_size_stride(buf3, (2, 2048, 8, 8), (131072, 1, 16384, 2048)) 2022-11-23T01:37:54.5214648Z buf4 = buf2[1] 2022-11-23T01:37:54.5214761Z assert_size_stride(buf4, (320, 2048, 1, 1), (2048, 1, 2048, 2048)) 2022-11-23T01:37:54.5214830Z buf5 = buf2[2] 2022-11-23T01:37:54.5214928Z assert_size_stride(buf5, (320, ), (1, )) 2022-11-23T01:37:54.5214996Z del buf2 2022-11-23T01:37:54.5215081Z return (buf3, buf4, buf5, ) 2022-11-23T01:37:54.5215086Z 2022-11-23T01:37:54.5215091Z 2022-11-23T01:37:54.5215168Z if __name__ == "__main__": 2022-11-23T01:37:54.5215283Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5215392Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5215649Z arg0_1 = rand_strided((2, 320, 8, 8), (20480, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5215874Z arg1_1 = rand_strided((2, 2048, 8, 8), (131072, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5216105Z arg2_1 = rand_strided((320, 2048, 1, 1), (2048, 1, 2048, 2048), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5216227Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:54.5216233Z 2022-11-23T01:37:54.5216302Z ok (1.691s) 2022-11-23T01:37:54.5216491Z test_conv2d_binary_cpu (__main__.CpuTests) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s) 2022-11-23T01:37:54.5216823Z test_conv2d_channels_last_cpu (__main__.CpuTests) ... [2022-11-23 01:30:39,224] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5217095Z [2022-11-23 01:30:39,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5217307Z [2022-11-23 01:30:39,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5217553Z [2022-11-23 01:30:39,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.5217832Z [2022-11-23 01:30:39,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.5218150Z [2022-11-23 01:30:39,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5218487Z [2022-11-23 01:30:39,229] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.5218581Z 170 0 LOAD_FAST 1 (x) 2022-11-23T01:37:54.5218671Z 2 BUILD_TUPLE 1 2022-11-23T01:37:54.5218893Z 4 RETURN_VALUE 2022-11-23T01:37:54.5218979Z 2022-11-23T01:37:54.5218987Z 2022-11-23T01:37:54.5219286Z [2022-11-23 01:30:39,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:170 2022-11-23T01:37:54.5219500Z [2022-11-23 01:30:39,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.5219748Z [2022-11-23 01:30:39,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:54.5219998Z [2022-11-23 01:30:39,229] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.5220339Z [2022-11-23 01:30:39,229] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.5220589Z [2022-11-23 01:30:39,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.5220829Z [2022-11-23 01:30:39,230] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5221092Z [2022-11-23 01:30:39,231] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5221344Z [2022-11-23 01:30:39,236] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5221612Z [2022-11-23 01:30:39,236] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5221750Z __compiled_fn_58 .372 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5221841Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5221940Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.5222039Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.5222044Z 2022-11-23T01:37:54.5222329Z [2022-11-23 01:30:39,237] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5222425Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5222553Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5222632Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5222722Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5222798Z 8 RETURN_VALUE 2022-11-23T01:37:54.5222803Z 2022-11-23T01:37:54.5222866Z 2022-11-23T01:37:54.5223147Z [2022-11-23 01:30:39,237] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5223259Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_58) 2022-11-23T01:37:54.5223350Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5223426Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5223503Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5223589Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5223691Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5223794Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5223883Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5223957Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.5224032Z 18 BUILD_TUPLE 1 2022-11-23T01:37:54.5224106Z 20 RETURN_VALUE 2022-11-23T01:37:54.5224110Z 2022-11-23T01:37:54.5224169Z 2022-11-23T01:37:54.5224357Z [2022-11-23 01:30:39,238] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5224429Z - 2022-11-23T01:37:54.5224548Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5224611Z { 2022-11-23T01:37:54.5224742Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5224931Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5225052Z 'obj_weakref': None 2022-11-23T01:37:54.5225277Z 'guarded_class': 2022-11-23T01:37:54.5225342Z } 2022-11-23T01:37:54.5225406Z 2022-11-23T01:37:54.5225477Z - 2022-11-23T01:37:54.5225591Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5225654Z { 2022-11-23T01:37:54.5225797Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5225906Z 'code': None, 2022-11-23T01:37:54.5226126Z 'obj_weakref': 2022-11-23T01:37:54.5226384Z 'guarded_class': 2022-11-23T01:37:54.5226446Z } 2022-11-23T01:37:54.5226506Z 2022-11-23T01:37:54.5226564Z - 2022-11-23T01:37:54.5226686Z local 'model' NN_MODULE 2022-11-23T01:37:54.5226749Z { 2022-11-23T01:37:54.5226885Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5227059Z 'code': ['___check_obj_id(model, 140538743472592)'], 2022-11-23T01:37:54.5227284Z 'obj_weakref': 2022-11-23T01:37:54.5227523Z 'guarded_class': 2022-11-23T01:37:54.5227575Z } 2022-11-23T01:37:54.5227637Z 2022-11-23T01:37:54.5227709Z - 2022-11-23T01:37:54.5227832Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5227932Z { 2022-11-23T01:37:54.5228074Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5228379Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5228485Z 'obj_weakref': None 2022-11-23T01:37:54.5228706Z 'guarded_class': 2022-11-23T01:37:54.5228771Z } 2022-11-23T01:37:54.5228835Z 2022-11-23T01:37:54.5228906Z - 2022-11-23T01:37:54.5229055Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.5229160Z { 2022-11-23T01:37:54.5229284Z 'guard_types': None, 2022-11-23T01:37:54.5229390Z 'code': None, 2022-11-23T01:37:54.5229510Z 'obj_weakref': None 2022-11-23T01:37:54.5229637Z 'guarded_class': None 2022-11-23T01:37:54.5229699Z } 2022-11-23T01:37:54.5229759Z 2022-11-23T01:37:54.5229818Z - 2022-11-23T01:37:54.5229964Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.5230025Z { 2022-11-23T01:37:54.5230144Z 'guard_types': None, 2022-11-23T01:37:54.5230252Z 'code': None, 2022-11-23T01:37:54.5230371Z 'obj_weakref': None 2022-11-23T01:37:54.5230495Z 'guarded_class': None 2022-11-23T01:37:54.5230544Z } 2022-11-23T01:37:54.5230606Z 2022-11-23T01:37:54.5230868Z [2022-11-23 01:30:39,258] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 57 2022-11-23T01:37:54.5231243Z [2022-11-23 01:30:40,790] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/im/cimulcip3pnldwnqvuyuk66jx6gic5aigbtu4kxjzpqj6qlhkyko.py 2022-11-23T01:37:54.5231511Z [2022-11-23 01:30:40,790] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 57 2022-11-23T01:37:54.5231754Z [2022-11-23 01:30:40,796] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5232025Z [2022-11-23 01:30:40,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5232245Z [2022-11-23 01:30:40,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5232476Z [2022-11-23 01:30:40,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.5232754Z [2022-11-23 01:30:40,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.5233073Z [2022-11-23 01:30:40,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5233406Z [2022-11-23 01:30:40,801] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.5233502Z 170 0 LOAD_FAST 1 (x) 2022-11-23T01:37:54.5233592Z 2 BUILD_TUPLE 1 2022-11-23T01:37:54.5233668Z 4 RETURN_VALUE 2022-11-23T01:37:54.5233727Z 2022-11-23T01:37:54.5233732Z 2022-11-23T01:37:54.5234002Z [2022-11-23 01:30:40,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:170 2022-11-23T01:37:54.5234202Z [2022-11-23 01:30:40,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.5234446Z [2022-11-23 01:30:40,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:54.5234696Z [2022-11-23 01:30:40,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.5235033Z [2022-11-23 01:30:40,802] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.5235311Z [2022-11-23 01:30:40,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.5235551Z [2022-11-23 01:30:40,802] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5235809Z [2022-11-23 01:30:40,803] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5236060Z [2022-11-23 01:30:40,808] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5236251Z [2022-11-23 01:30:40,808] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5236423Z __compiled_fn_59 .383 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5236516Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5236614Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.5236711Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.5236716Z 2022-11-23T01:37:54.5236998Z [2022-11-23 01:30:40,809] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5237090Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5237181Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5237274Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5237350Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5237425Z 8 RETURN_VALUE 2022-11-23T01:37:54.5237430Z 2022-11-23T01:37:54.5237490Z 2022-11-23T01:37:54.5237767Z [2022-11-23 01:30:40,809] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5237876Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_59) 2022-11-23T01:37:54.5237966Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5238057Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5238132Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5238209Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5238311Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5238410Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5238497Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5238572Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.5238662Z 18 BUILD_TUPLE 1 2022-11-23T01:37:54.5238735Z 20 RETURN_VALUE 2022-11-23T01:37:54.5238739Z 2022-11-23T01:37:54.5238785Z 2022-11-23T01:37:54.5238970Z [2022-11-23 01:30:40,810] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5239047Z - 2022-11-23T01:37:54.5239167Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5239231Z { 2022-11-23T01:37:54.5239373Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5239562Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5239674Z 'obj_weakref': None 2022-11-23T01:37:54.5239902Z 'guarded_class': 2022-11-23T01:37:54.5239969Z } 2022-11-23T01:37:54.5240029Z 2022-11-23T01:37:54.5240099Z - 2022-11-23T01:37:54.5240225Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5240287Z { 2022-11-23T01:37:54.5240420Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5240528Z 'code': None, 2022-11-23T01:37:54.5240744Z 'obj_weakref': 2022-11-23T01:37:54.5240999Z 'guarded_class': 2022-11-23T01:37:54.5241066Z } 2022-11-23T01:37:54.5241127Z 2022-11-23T01:37:54.5241197Z - 2022-11-23T01:37:54.5241304Z local 'model' NN_MODULE 2022-11-23T01:37:54.5241367Z { 2022-11-23T01:37:54.5241533Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5241708Z 'code': ['___check_obj_id(model, 140538743472592)'], 2022-11-23T01:37:54.5241930Z 'obj_weakref': 2022-11-23T01:37:54.5242170Z 'guarded_class': 2022-11-23T01:37:54.5242235Z } 2022-11-23T01:37:54.5242284Z 2022-11-23T01:37:54.5242353Z - 2022-11-23T01:37:54.5242474Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5242536Z { 2022-11-23T01:37:54.5242673Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5242926Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5243048Z 'obj_weakref': None 2022-11-23T01:37:54.5243259Z 'guarded_class': 2022-11-23T01:37:54.5243321Z } 2022-11-23T01:37:54.5243384Z 2022-11-23T01:37:54.5243454Z - 2022-11-23T01:37:54.5243602Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.5243664Z { 2022-11-23T01:37:54.5243784Z 'guard_types': None, 2022-11-23T01:37:54.5243880Z 'code': None, 2022-11-23T01:37:54.5243999Z 'obj_weakref': None 2022-11-23T01:37:54.5244121Z 'guarded_class': None 2022-11-23T01:37:54.5244184Z } 2022-11-23T01:37:54.5244246Z 2022-11-23T01:37:54.5244314Z - 2022-11-23T01:37:54.5244459Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.5244512Z { 2022-11-23T01:37:54.5244632Z 'guard_types': None, 2022-11-23T01:37:54.5244740Z 'code': None, 2022-11-23T01:37:54.5244857Z 'obj_weakref': None 2022-11-23T01:37:54.5244978Z 'guarded_class': None 2022-11-23T01:37:54.5245041Z } 2022-11-23T01:37:54.5245093Z 2022-11-23T01:37:54.5245352Z [2022-11-23 01:30:40,830] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 58 2022-11-23T01:37:54.5245726Z [2022-11-23 01:30:40,835] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xb/cxbj3hirr7xylvclh7isjhyntuhkerp4gp7njbdfg5mg3vqew5ky.py 2022-11-23T01:37:54.5245988Z [2022-11-23 01:30:40,835] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 58 2022-11-23T01:37:54.5246228Z [2022-11-23 01:30:40,838] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5246500Z [2022-11-23 01:30:40,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5246719Z [2022-11-23 01:30:40,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5246965Z [2022-11-23 01:30:40,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.5247247Z [2022-11-23 01:30:40,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.5247562Z [2022-11-23 01:30:40,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5247881Z [2022-11-23 01:30:40,842] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.5247973Z 170 0 LOAD_FAST 1 (x) 2022-11-23T01:37:54.5248064Z 2 BUILD_TUPLE 1 2022-11-23T01:37:54.5248140Z 4 RETURN_VALUE 2022-11-23T01:37:54.5248201Z 2022-11-23T01:37:54.5248207Z 2022-11-23T01:37:54.5248477Z [2022-11-23 01:30:40,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:170 2022-11-23T01:37:54.5248719Z [2022-11-23 01:30:40,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.5248966Z [2022-11-23 01:30:40,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:54.5249202Z [2022-11-23 01:30:40,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.5249540Z [2022-11-23 01:30:40,843] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.5249787Z [2022-11-23 01:30:40,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.5250064Z [2022-11-23 01:30:40,843] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5250320Z [2022-11-23 01:30:40,844] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5250574Z [2022-11-23 01:30:40,848] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5250765Z [2022-11-23 01:30:40,848] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5250898Z __compiled_fn_60 .394 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5250987Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5251073Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.5251173Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.5251178Z 2022-11-23T01:37:54.5251455Z [2022-11-23 01:30:40,849] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5251552Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5251643Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5251737Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5251826Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5251901Z 8 RETURN_VALUE 2022-11-23T01:37:54.5251906Z 2022-11-23T01:37:54.5251957Z 2022-11-23T01:37:54.5252231Z [2022-11-23 01:30:40,849] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5252341Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_60) 2022-11-23T01:37:54.5252431Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5252520Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5252598Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5252686Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5252777Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5252885Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5252975Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5253051Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.5253140Z 18 BUILD_TUPLE 1 2022-11-23T01:37:54.5253216Z 20 RETURN_VALUE 2022-11-23T01:37:54.5253223Z 2022-11-23T01:37:54.5253285Z 2022-11-23T01:37:54.5253457Z [2022-11-23 01:30:40,849] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5253533Z - 2022-11-23T01:37:54.5253654Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5253720Z { 2022-11-23T01:37:54.5253864Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5254054Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5254177Z 'obj_weakref': None 2022-11-23T01:37:54.5254406Z 'guarded_class': 2022-11-23T01:37:54.5254462Z } 2022-11-23T01:37:54.5254526Z 2022-11-23T01:37:54.5254599Z - 2022-11-23T01:37:54.5254727Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5254794Z { 2022-11-23T01:37:54.5254940Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5255035Z 'code': None, 2022-11-23T01:37:54.5255286Z 'obj_weakref': 2022-11-23T01:37:54.5255548Z 'guarded_class': 2022-11-23T01:37:54.5255617Z } 2022-11-23T01:37:54.5255681Z 2022-11-23T01:37:54.5255755Z - 2022-11-23T01:37:54.5255878Z local 'model' NN_MODULE 2022-11-23T01:37:54.5255928Z { 2022-11-23T01:37:54.5256065Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5256238Z 'code': ['___check_obj_id(model, 140538743472592)'], 2022-11-23T01:37:54.5256498Z 'obj_weakref': 2022-11-23T01:37:54.5256740Z 'guarded_class': 2022-11-23T01:37:54.5256805Z } 2022-11-23T01:37:54.5256872Z 2022-11-23T01:37:54.5256947Z - 2022-11-23T01:37:54.5257058Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5257123Z { 2022-11-23T01:37:54.5257263Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5257487Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5257611Z 'obj_weakref': None 2022-11-23T01:37:54.5257839Z 'guarded_class': 2022-11-23T01:37:54.5257904Z } 2022-11-23T01:37:54.5257954Z 2022-11-23T01:37:54.5258027Z - 2022-11-23T01:37:54.5258175Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.5258237Z { 2022-11-23T01:37:54.5258361Z 'guard_types': None, 2022-11-23T01:37:54.5258472Z 'code': None, 2022-11-23T01:37:54.5258580Z 'obj_weakref': None 2022-11-23T01:37:54.5258702Z 'guarded_class': None 2022-11-23T01:37:54.5258928Z } 2022-11-23T01:37:54.5259040Z 2022-11-23T01:37:54.5259136Z - 2022-11-23T01:37:54.5259290Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.5259353Z { 2022-11-23T01:37:54.5259461Z 'guard_types': None, 2022-11-23T01:37:54.5259568Z 'code': None, 2022-11-23T01:37:54.5259687Z 'obj_weakref': None 2022-11-23T01:37:54.5259810Z 'guarded_class': None 2022-11-23T01:37:54.5259875Z } 2022-11-23T01:37:54.5259937Z 2022-11-23T01:37:54.5260201Z [2022-11-23 01:30:40,867] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 59 2022-11-23T01:37:54.5260566Z [2022-11-23 01:30:40,872] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xb/cxbj3hirr7xylvclh7isjhyntuhkerp4gp7njbdfg5mg3vqew5ky.py 2022-11-23T01:37:54.5260837Z [2022-11-23 01:30:40,872] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 59 2022-11-23T01:37:54.5260844Z 2022-11-23T01:37:54.5260938Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5261007Z import torch 2022-11-23T01:37:54.5261075Z import random 2022-11-23T01:37:54.5261190Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5261314Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5261319Z 2022-11-23T01:37:54.5261397Z aten = torch.ops.aten 2022-11-23T01:37:54.5261519Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5261609Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5261614Z 2022-11-23T01:37:54.5261621Z 2022-11-23T01:37:54.5261758Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.5261963Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.5262083Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.5262182Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.5262306Z { 2022-11-23T01:37:54.5262386Z #pragma GCC ivdep 2022-11-23T01:37:54.5262454Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:54.5262515Z { 2022-11-23T01:37:54.5262592Z #pragma GCC ivdep 2022-11-23T01:37:54.5262675Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:37:54.5262737Z { 2022-11-23T01:37:54.5262815Z #pragma GCC ivdep 2022-11-23T01:37:54.5262901Z for(long i2=0; i2<256; i2+=1) 2022-11-23T01:37:54.5262952Z { 2022-11-23T01:37:54.5263017Z { 2022-11-23T01:37:54.5263084Z { 2022-11-23T01:37:54.5263241Z auto tmp0 = in_ptr0[i2 + (256*i1) + (768*i0)]; 2022-11-23T01:37:54.5263345Z out_ptr0[i1 + (3*i2) + (768*i0)] = tmp0; 2022-11-23T01:37:54.5263415Z } 2022-11-23T01:37:54.5263467Z } 2022-11-23T01:37:54.5263528Z } 2022-11-23T01:37:54.5263588Z } 2022-11-23T01:37:54.5263647Z } 2022-11-23T01:37:54.5263707Z } 2022-11-23T01:37:54.5263792Z ''') 2022-11-23T01:37:54.5263797Z 2022-11-23T01:37:54.5263801Z 2022-11-23T01:37:54.5263892Z async_compile.wait(globals()) 2022-11-23T01:37:54.5263950Z del async_compile 2022-11-23T01:37:54.5263966Z 2022-11-23T01:37:54.5264023Z def call(args): 2022-11-23T01:37:54.5264122Z primals_1, primals_2, primals_3 = args 2022-11-23T01:37:54.5264193Z args.clear() 2022-11-23T01:37:54.5264413Z buf0 = empty_strided((2, 3, 16, 16), (768, 1, 48, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5264550Z kernel_cpp_0(c_void_p(primals_3.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.5264701Z buf1 = aten.convolution(buf0, primals_1, primals_2, (1, 1), (0, 0), (1, 1), False, (0, 0), 1) 2022-11-23T01:37:54.5264808Z assert_size_stride(buf1, (2, 3, 16, 16), (768, 1, 48, 3)) 2022-11-23T01:37:54.5264862Z del buf0 2022-11-23T01:37:54.5264931Z del primals_2 2022-11-23T01:37:54.5265027Z return (buf1, primals_1, primals_3, ) 2022-11-23T01:37:54.5265034Z 2022-11-23T01:37:54.5265038Z 2022-11-23T01:37:54.5265112Z if __name__ == "__main__": 2022-11-23T01:37:54.5265223Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5265344Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5265564Z primals_1 = rand_strided((3, 3, 1, 1), (3, 1, 3, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5265766Z primals_2 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5265977Z primals_3 = rand_strided((2, 3, 16, 16), (768, 256, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5266117Z print_performance(lambda: call([primals_1, primals_2, primals_3])) 2022-11-23T01:37:54.5266122Z 2022-11-23T01:37:54.5266126Z 2022-11-23T01:37:54.5266217Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5266285Z import torch 2022-11-23T01:37:54.5266353Z import random 2022-11-23T01:37:54.5266468Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5266593Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5266598Z 2022-11-23T01:37:54.5266673Z aten = torch.ops.aten 2022-11-23T01:37:54.5266793Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5266881Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5266888Z 2022-11-23T01:37:54.5266892Z 2022-11-23T01:37:54.5266980Z async_compile.wait(globals()) 2022-11-23T01:37:54.5267050Z del async_compile 2022-11-23T01:37:54.5267055Z 2022-11-23T01:37:54.5267122Z def call(args): 2022-11-23T01:37:54.5267221Z primals_1, primals_2, primals_3 = args 2022-11-23T01:37:54.5267293Z args.clear() 2022-11-23T01:37:54.5267445Z buf0 = aten.convolution(primals_3, primals_1, primals_2, (1, 1), (0, 0), (1, 1), False, (0, 0), 1) 2022-11-23T01:37:54.5267539Z assert_size_stride(buf0, (2, 3, 16, 16), (768, 1, 48, 3)) 2022-11-23T01:37:54.5267608Z del primals_2 2022-11-23T01:37:54.5267705Z return (buf0, primals_1, primals_3, ) 2022-11-23T01:37:54.5267741Z 2022-11-23T01:37:54.5267746Z 2022-11-23T01:37:54.5267822Z if __name__ == "__main__": 2022-11-23T01:37:54.5267932Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5268052Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5268355Z primals_1 = rand_strided((3, 3, 1, 1), (3, 1, 3, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5268556Z primals_2 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5268766Z primals_3 = rand_strided((2, 3, 16, 16), (768, 1, 48, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5268945Z print_performance(lambda: call([primals_1, primals_2, primals_3])) 2022-11-23T01:37:54.5268950Z 2022-11-23T01:37:54.5268955Z 2022-11-23T01:37:54.5269047Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5269118Z import torch 2022-11-23T01:37:54.5269188Z import random 2022-11-23T01:37:54.5269303Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5269425Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5269430Z 2022-11-23T01:37:54.5269507Z aten = torch.ops.aten 2022-11-23T01:37:54.5269625Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5269715Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5269719Z 2022-11-23T01:37:54.5269724Z 2022-11-23T01:37:54.5269810Z async_compile.wait(globals()) 2022-11-23T01:37:54.5269882Z del async_compile 2022-11-23T01:37:54.5269886Z 2022-11-23T01:37:54.5269956Z def call(args): 2022-11-23T01:37:54.5270055Z primals_1, primals_2, primals_3 = args 2022-11-23T01:37:54.5270127Z args.clear() 2022-11-23T01:37:54.5270276Z buf0 = aten.convolution(primals_3, primals_1, primals_2, (1, 1), (0, 0), (1, 1), False, (0, 0), 1) 2022-11-23T01:37:54.5270370Z assert_size_stride(buf0, (2, 3, 16, 16), (768, 1, 48, 3)) 2022-11-23T01:37:54.5270439Z del primals_2 2022-11-23T01:37:54.5270537Z return (buf0, primals_1, primals_3, ) 2022-11-23T01:37:54.5270542Z 2022-11-23T01:37:54.5270548Z 2022-11-23T01:37:54.5270622Z if __name__ == "__main__": 2022-11-23T01:37:54.5270733Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5270853Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5271070Z primals_1 = rand_strided((3, 3, 1, 1), (3, 1, 3, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5271270Z primals_2 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5271478Z primals_3 = rand_strided((2, 3, 16, 16), (768, 1, 48, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5271618Z print_performance(lambda: call([primals_1, primals_2, primals_3])) 2022-11-23T01:37:54.5271624Z 2022-11-23T01:37:54.5271689Z ok (1.654s) 2022-11-23T01:37:54.5271876Z test_conv2d_unary_cpu (__main__.CpuTests) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:37:54.5272208Z test_conv3d_channels_last_cpu (__main__.CpuTests) ... [2022-11-23 01:30:40,878] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5272483Z [2022-11-23 01:30:40,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5272701Z [2022-11-23 01:30:40,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5272947Z [2022-11-23 01:30:40,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.5273225Z [2022-11-23 01:30:40,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.5273534Z [2022-11-23 01:30:40,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5273866Z [2022-11-23 01:30:40,882] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.5273995Z 170 0 LOAD_FAST 1 (x) 2022-11-23T01:37:54.5274085Z 2 BUILD_TUPLE 1 2022-11-23T01:37:54.5274162Z 4 RETURN_VALUE 2022-11-23T01:37:54.5274224Z 2022-11-23T01:37:54.5274230Z 2022-11-23T01:37:54.5274498Z [2022-11-23 01:30:40,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:170 2022-11-23T01:37:54.5274711Z [2022-11-23 01:30:40,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.5274944Z [2022-11-23 01:30:40,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:54.5275228Z [2022-11-23 01:30:40,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.5275567Z [2022-11-23 01:30:40,882] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.5275816Z [2022-11-23 01:30:40,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.5276053Z [2022-11-23 01:30:40,882] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5276310Z [2022-11-23 01:30:40,883] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5276563Z [2022-11-23 01:30:40,888] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5276755Z [2022-11-23 01:30:40,888] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5276892Z __compiled_fn_61 .405 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5276969Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5277067Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.5277165Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.5277170Z 2022-11-23T01:37:54.5277450Z [2022-11-23 01:30:40,888] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5277543Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5277636Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5277727Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5277816Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5277879Z 8 RETURN_VALUE 2022-11-23T01:37:54.5277884Z 2022-11-23T01:37:54.5277944Z 2022-11-23T01:37:54.5278220Z [2022-11-23 01:30:40,888] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5278331Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_61) 2022-11-23T01:37:54.5278419Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5278507Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5278582Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5278670Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5278760Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5278859Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5278947Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5279023Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.5279110Z 18 BUILD_TUPLE 1 2022-11-23T01:37:54.5279185Z 20 RETURN_VALUE 2022-11-23T01:37:54.5279189Z 2022-11-23T01:37:54.5279246Z 2022-11-23T01:37:54.5279416Z [2022-11-23 01:30:40,889] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5279489Z - 2022-11-23T01:37:54.5279610Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5279673Z { 2022-11-23T01:37:54.5279815Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5280004Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5280157Z 'obj_weakref': None 2022-11-23T01:37:54.5280374Z 'guarded_class': 2022-11-23T01:37:54.5280439Z } 2022-11-23T01:37:54.5280501Z 2022-11-23T01:37:54.5280571Z - 2022-11-23T01:37:54.5280698Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5280760Z { 2022-11-23T01:37:54.5280904Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5281002Z 'code': None, 2022-11-23T01:37:54.5281216Z 'obj_weakref': 2022-11-23T01:37:54.5281520Z 'guarded_class': 2022-11-23T01:37:54.5281584Z } 2022-11-23T01:37:54.5281645Z 2022-11-23T01:37:54.5281714Z - 2022-11-23T01:37:54.5281836Z local 'model' NN_MODULE 2022-11-23T01:37:54.5281886Z { 2022-11-23T01:37:54.5282024Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5282196Z 'code': ['___check_obj_id(model, 140538744139472)'], 2022-11-23T01:37:54.5282418Z 'obj_weakref': 2022-11-23T01:37:54.5282656Z 'guarded_class': 2022-11-23T01:37:54.5282720Z } 2022-11-23T01:37:54.5282781Z 2022-11-23T01:37:54.5282838Z - 2022-11-23T01:37:54.5282960Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5283023Z { 2022-11-23T01:37:54.5283166Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5283388Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5283510Z 'obj_weakref': None 2022-11-23T01:37:54.5283733Z 'guarded_class': 2022-11-23T01:37:54.5283786Z } 2022-11-23T01:37:54.5283847Z 2022-11-23T01:37:54.5283916Z - 2022-11-23T01:37:54.5284065Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.5284126Z { 2022-11-23T01:37:54.5284245Z 'guard_types': None, 2022-11-23T01:37:54.5284356Z 'code': None, 2022-11-23T01:37:54.5284462Z 'obj_weakref': None 2022-11-23T01:37:54.5284588Z 'guarded_class': None 2022-11-23T01:37:54.5284650Z } 2022-11-23T01:37:54.5284711Z 2022-11-23T01:37:54.5284784Z - 2022-11-23T01:37:54.5284934Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.5284996Z { 2022-11-23T01:37:54.5285105Z 'guard_types': None, 2022-11-23T01:37:54.5285210Z 'code': None, 2022-11-23T01:37:54.5285330Z 'obj_weakref': None 2022-11-23T01:37:54.5285452Z 'guarded_class': None 2022-11-23T01:37:54.5285514Z } 2022-11-23T01:37:54.5285576Z 2022-11-23T01:37:54.5285827Z [2022-11-23 01:30:40,908] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 60 2022-11-23T01:37:54.5286202Z [2022-11-23 01:30:42,276] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/oq/coqro4o42msm7qlojxvpahbiinzcaevhjr6ydo2lkdw6vqswjdfg.py 2022-11-23T01:37:54.5286467Z [2022-11-23 01:30:42,277] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 60 2022-11-23T01:37:54.5286708Z [2022-11-23 01:30:42,284] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5286980Z [2022-11-23 01:30:42,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5287202Z [2022-11-23 01:30:42,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5287479Z [2022-11-23 01:30:42,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.5287761Z [2022-11-23 01:30:42,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.5288080Z [2022-11-23 01:30:42,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5288414Z [2022-11-23 01:30:42,288] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.5288497Z 170 0 LOAD_FAST 1 (x) 2022-11-23T01:37:54.5288618Z 2 BUILD_TUPLE 1 2022-11-23T01:37:54.5288694Z 4 RETURN_VALUE 2022-11-23T01:37:54.5288755Z 2022-11-23T01:37:54.5288761Z 2022-11-23T01:37:54.5289033Z [2022-11-23 01:30:42,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:170 2022-11-23T01:37:54.5289251Z [2022-11-23 01:30:42,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.5289499Z [2022-11-23 01:30:42,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:54.5289747Z [2022-11-23 01:30:42,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.5290076Z [2022-11-23 01:30:42,289] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.5290327Z [2022-11-23 01:30:42,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.5290568Z [2022-11-23 01:30:42,289] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5290825Z [2022-11-23 01:30:42,290] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5291079Z [2022-11-23 01:30:42,295] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5291274Z [2022-11-23 01:30:42,295] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5291410Z __compiled_fn_62 .416 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5291502Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5291602Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.5291687Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.5291692Z 2022-11-23T01:37:54.5291972Z [2022-11-23 01:30:42,296] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5292071Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5292163Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5292256Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5292352Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5292430Z 8 RETURN_VALUE 2022-11-23T01:37:54.5292437Z 2022-11-23T01:37:54.5292499Z 2022-11-23T01:37:54.5292762Z [2022-11-23 01:30:42,296] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5292872Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_62) 2022-11-23T01:37:54.5292964Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5293056Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5293134Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5293223Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5293328Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5293421Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5293514Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5293592Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.5293682Z 18 BUILD_TUPLE 1 2022-11-23T01:37:54.5293792Z 20 RETURN_VALUE 2022-11-23T01:37:54.5293798Z 2022-11-23T01:37:54.5293861Z 2022-11-23T01:37:54.5294051Z [2022-11-23 01:30:42,297] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5294111Z - 2022-11-23T01:37:54.5294234Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5294302Z { 2022-11-23T01:37:54.5294447Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5294638Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5294762Z 'obj_weakref': None 2022-11-23T01:37:54.5294991Z 'guarded_class': 2022-11-23T01:37:54.5295088Z } 2022-11-23T01:37:54.5295139Z 2022-11-23T01:37:54.5295213Z - 2022-11-23T01:37:54.5295342Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5295408Z { 2022-11-23T01:37:54.5295555Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5295668Z 'code': None, 2022-11-23T01:37:54.5295873Z 'obj_weakref': 2022-11-23T01:37:54.5296132Z 'guarded_class': 2022-11-23T01:37:54.5296198Z } 2022-11-23T01:37:54.5296262Z 2022-11-23T01:37:54.5296335Z - 2022-11-23T01:37:54.5296458Z local 'model' NN_MODULE 2022-11-23T01:37:54.5296524Z { 2022-11-23T01:37:54.5296649Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5296824Z 'code': ['___check_obj_id(model, 140538744139472)'], 2022-11-23T01:37:54.5297051Z 'obj_weakref': 2022-11-23T01:37:54.5297294Z 'guarded_class': 2022-11-23T01:37:54.5297361Z } 2022-11-23T01:37:54.5297426Z 2022-11-23T01:37:54.5297501Z - 2022-11-23T01:37:54.5297622Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5297673Z { 2022-11-23T01:37:54.5297809Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5298030Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5298151Z 'obj_weakref': None 2022-11-23T01:37:54.5298374Z 'guarded_class': 2022-11-23T01:37:54.5298439Z } 2022-11-23T01:37:54.5298501Z 2022-11-23T01:37:54.5298561Z - 2022-11-23T01:37:54.5298708Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.5298928Z { 2022-11-23T01:37:54.5299102Z 'guard_types': None, 2022-11-23T01:37:54.5299215Z 'code': None, 2022-11-23T01:37:54.5299336Z 'obj_weakref': None 2022-11-23T01:37:54.5299448Z 'guarded_class': None 2022-11-23T01:37:54.5299514Z } 2022-11-23T01:37:54.5299575Z 2022-11-23T01:37:54.5299648Z - 2022-11-23T01:37:54.5299797Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.5299860Z { 2022-11-23T01:37:54.5299983Z 'guard_types': None, 2022-11-23T01:37:54.5300079Z 'code': None, 2022-11-23T01:37:54.5300198Z 'obj_weakref': None 2022-11-23T01:37:54.5300322Z 'guarded_class': None 2022-11-23T01:37:54.5300384Z } 2022-11-23T01:37:54.5300446Z 2022-11-23T01:37:54.5300711Z [2022-11-23 01:30:42,316] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 61 2022-11-23T01:37:54.5301083Z [2022-11-23 01:30:43,860] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zk/czk7k3q4zhduvlgijjthjxotg6jexbenxjq3y3tddqviup7d6uoq.py 2022-11-23T01:37:54.5301415Z [2022-11-23 01:30:43,860] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 61 2022-11-23T01:37:54.5301649Z [2022-11-23 01:30:43,868] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5301920Z [2022-11-23 01:30:43,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5302143Z [2022-11-23 01:30:43,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5302390Z [2022-11-23 01:30:43,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.5302672Z [2022-11-23 01:30:43,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.5303028Z [2022-11-23 01:30:43,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5303367Z [2022-11-23 01:30:43,873] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.5303462Z 170 0 LOAD_FAST 1 (x) 2022-11-23T01:37:54.5303553Z 2 BUILD_TUPLE 1 2022-11-23T01:37:54.5303618Z 4 RETURN_VALUE 2022-11-23T01:37:54.5303681Z 2022-11-23T01:37:54.5303688Z 2022-11-23T01:37:54.5303953Z [2022-11-23 01:30:43,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:170 2022-11-23T01:37:54.5304168Z [2022-11-23 01:30:43,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.5304413Z [2022-11-23 01:30:43,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:54.5304662Z [2022-11-23 01:30:43,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.5305004Z [2022-11-23 01:30:43,873] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.5305254Z [2022-11-23 01:30:43,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.5305490Z [2022-11-23 01:30:43,873] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5305733Z [2022-11-23 01:30:43,874] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5305984Z [2022-11-23 01:30:43,879] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5306176Z [2022-11-23 01:30:43,879] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5306309Z __compiled_fn_63 .427 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5306397Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5306495Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.5306592Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.5306600Z 2022-11-23T01:37:54.5306877Z [2022-11-23 01:30:43,880] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5306957Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5307046Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5307137Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5307226Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5307300Z 8 RETURN_VALUE 2022-11-23T01:37:54.5307305Z 2022-11-23T01:37:54.5307365Z 2022-11-23T01:37:54.5307647Z [2022-11-23 01:30:43,880] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5307754Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_63) 2022-11-23T01:37:54.5307830Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5307921Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5308027Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5308196Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5308308Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5308410Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5308500Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5308563Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.5308654Z 18 BUILD_TUPLE 1 2022-11-23T01:37:54.5308730Z 20 RETURN_VALUE 2022-11-23T01:37:54.5308735Z 2022-11-23T01:37:54.5308796Z 2022-11-23T01:37:54.5309023Z [2022-11-23 01:30:43,881] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5309096Z - 2022-11-23T01:37:54.5309220Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5309272Z { 2022-11-23T01:37:54.5309416Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5309608Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5309730Z 'obj_weakref': None 2022-11-23T01:37:54.5309957Z 'guarded_class': 2022-11-23T01:37:54.5310019Z } 2022-11-23T01:37:54.5310082Z 2022-11-23T01:37:54.5310139Z - 2022-11-23T01:37:54.5310264Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5310326Z { 2022-11-23T01:37:54.5310473Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5310581Z 'code': None, 2022-11-23T01:37:54.5310797Z 'obj_weakref': 2022-11-23T01:37:54.5311054Z 'guarded_class': 2022-11-23T01:37:54.5311104Z } 2022-11-23T01:37:54.5311166Z 2022-11-23T01:37:54.5311236Z - 2022-11-23T01:37:54.5311357Z local 'model' NN_MODULE 2022-11-23T01:37:54.5311421Z { 2022-11-23T01:37:54.5311556Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5311728Z 'code': ['___check_obj_id(model, 140538744139472)'], 2022-11-23T01:37:54.5311938Z 'obj_weakref': 2022-11-23T01:37:54.5312176Z 'guarded_class': 2022-11-23T01:37:54.5312239Z } 2022-11-23T01:37:54.5312300Z 2022-11-23T01:37:54.5312369Z - 2022-11-23T01:37:54.5312493Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5312558Z { 2022-11-23T01:37:54.5312684Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5312901Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5313022Z 'obj_weakref': None 2022-11-23T01:37:54.5313245Z 'guarded_class': 2022-11-23T01:37:54.5313309Z } 2022-11-23T01:37:54.5313371Z 2022-11-23T01:37:54.5313442Z - 2022-11-23T01:37:54.5313576Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.5313641Z { 2022-11-23T01:37:54.5313761Z 'guard_types': None, 2022-11-23T01:37:54.5313871Z 'code': None, 2022-11-23T01:37:54.5313989Z 'obj_weakref': None 2022-11-23T01:37:54.5314111Z 'guarded_class': None 2022-11-23T01:37:54.5314172Z } 2022-11-23T01:37:54.5314225Z 2022-11-23T01:37:54.5314294Z - 2022-11-23T01:37:54.5314438Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.5314501Z { 2022-11-23T01:37:54.5314622Z 'guard_types': None, 2022-11-23T01:37:54.5314728Z 'code': None, 2022-11-23T01:37:54.5314834Z 'obj_weakref': None 2022-11-23T01:37:54.5314988Z 'guarded_class': None 2022-11-23T01:37:54.5315052Z } 2022-11-23T01:37:54.5315112Z 2022-11-23T01:37:54.5315375Z [2022-11-23 01:30:43,900] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 62 2022-11-23T01:37:54.5315747Z [2022-11-23 01:30:43,920] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zk/czk7k3q4zhduvlgijjthjxotg6jexbenxjq3y3tddqviup7d6uoq.py 2022-11-23T01:37:54.5316012Z [2022-11-23 01:30:43,920] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 62 2022-11-23T01:37:54.5316047Z 2022-11-23T01:37:54.5316145Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5316201Z import torch 2022-11-23T01:37:54.5316269Z import random 2022-11-23T01:37:54.5316382Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5316502Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5316507Z 2022-11-23T01:37:54.5316584Z aten = torch.ops.aten 2022-11-23T01:37:54.5316718Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5316809Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5316814Z 2022-11-23T01:37:54.5316818Z 2022-11-23T01:37:54.5316954Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.5317146Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.5317265Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.5317364Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.5317425Z { 2022-11-23T01:37:54.5317506Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:37:54.5317567Z { 2022-11-23T01:37:54.5317722Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:54.5317807Z tmp0.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.5317854Z } 2022-11-23T01:37:54.5317942Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.5318018Z for(long i0=8; i0<9; i0+=1) 2022-11-23T01:37:54.5318081Z { 2022-11-23T01:37:54.5318164Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.5318240Z out_ptr0[i0] = tmp0; 2022-11-23T01:37:54.5318288Z } 2022-11-23T01:37:54.5318346Z } 2022-11-23T01:37:54.5318425Z ''') 2022-11-23T01:37:54.5318430Z 2022-11-23T01:37:54.5318435Z 2022-11-23T01:37:54.5318522Z async_compile.wait(globals()) 2022-11-23T01:37:54.5318594Z del async_compile 2022-11-23T01:37:54.5318599Z 2022-11-23T01:37:54.5318667Z def call(args): 2022-11-23T01:37:54.5318766Z primals_1, primals_2, primals_3 = args 2022-11-23T01:37:54.5318824Z args.clear() 2022-11-23T01:37:54.5319042Z buf0 = empty_strided((3, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5319182Z kernel_cpp_0(c_void_p(primals_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.5319332Z buf1 = aten.convolution(primals_3, buf0, primals_2, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1) 2022-11-23T01:37:54.5319446Z assert_size_stride(buf1, (2, 3, 16, 16, 16), (12288, 4096, 256, 16, 1)) 2022-11-23T01:37:54.5319511Z del buf0 2022-11-23T01:37:54.5319582Z del primals_2 2022-11-23T01:37:54.5319679Z return (buf1, primals_1, primals_3, ) 2022-11-23T01:37:54.5319685Z 2022-11-23T01:37:54.5319688Z 2022-11-23T01:37:54.5319762Z if __name__ == "__main__": 2022-11-23T01:37:54.5319862Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5319981Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5320206Z primals_1 = rand_strided((3, 3, 1, 1, 1), (3, 1, 3, 3, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5320412Z primals_2 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5320652Z primals_3 = rand_strided((2, 3, 16, 16, 16), (12288, 4096, 256, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5320790Z print_performance(lambda: call([primals_1, primals_2, primals_3])) 2022-11-23T01:37:54.5320796Z 2022-11-23T01:37:54.5320800Z 2022-11-23T01:37:54.5320923Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5320995Z import torch 2022-11-23T01:37:54.5321052Z import random 2022-11-23T01:37:54.5321167Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5321286Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5321291Z 2022-11-23T01:37:54.5321367Z aten = torch.ops.aten 2022-11-23T01:37:54.5321500Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5321590Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5321595Z 2022-11-23T01:37:54.5321599Z 2022-11-23T01:37:54.5321801Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.5322005Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.5322112Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.5322217Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.5322318Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.5322416Z float* __restrict__ out_ptr1) 2022-11-23T01:37:54.5322476Z { 2022-11-23T01:37:54.5322555Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:37:54.5322617Z { 2022-11-23T01:37:54.5322739Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:54.5322828Z tmp0.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.5322890Z } 2022-11-23T01:37:54.5322978Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.5323058Z for(long i0=8; i0<9; i0+=1) 2022-11-23T01:37:54.5323120Z { 2022-11-23T01:37:54.5323205Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.5323269Z out_ptr0[i0] = tmp0; 2022-11-23T01:37:54.5323331Z } 2022-11-23T01:37:54.5323410Z #pragma GCC ivdep 2022-11-23T01:37:54.5323487Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:54.5323549Z { 2022-11-23T01:37:54.5323627Z #pragma GCC ivdep 2022-11-23T01:37:54.5323695Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:37:54.5323761Z { 2022-11-23T01:37:54.5323839Z #pragma GCC ivdep 2022-11-23T01:37:54.5323925Z for(long i2=0; i2<4096; i2+=1) 2022-11-23T01:37:54.5323988Z { 2022-11-23T01:37:54.5324052Z { 2022-11-23T01:37:54.5324119Z { 2022-11-23T01:37:54.5324218Z auto tmp0 = in_ptr1[i1 + (3*i2) + (12288*i0)]; 2022-11-23T01:37:54.5324321Z out_ptr1[i2 + (4096*i1) + (12288*i0)] = tmp0; 2022-11-23T01:37:54.5324387Z } 2022-11-23T01:37:54.5324451Z } 2022-11-23T01:37:54.5324516Z } 2022-11-23T01:37:54.5324576Z } 2022-11-23T01:37:54.5324637Z } 2022-11-23T01:37:54.5324685Z } 2022-11-23T01:37:54.5324765Z ''') 2022-11-23T01:37:54.5324771Z 2022-11-23T01:37:54.5324776Z 2022-11-23T01:37:54.5324864Z async_compile.wait(globals()) 2022-11-23T01:37:54.5324935Z del async_compile 2022-11-23T01:37:54.5324940Z 2022-11-23T01:37:54.5325011Z def call(args): 2022-11-23T01:37:54.5325115Z primals_1, primals_2, primals_3 = args 2022-11-23T01:37:54.5325185Z args.clear() 2022-11-23T01:37:54.5325391Z buf0 = empty_strided((3, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5325626Z buf1 = empty_strided((2, 3, 16, 16, 16), (12288, 4096, 256, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5325826Z kernel_cpp_0(c_void_p(primals_1.data_ptr()), c_void_p(primals_3.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:54.5325971Z buf2 = aten.convolution(buf1, buf0, primals_2, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1) 2022-11-23T01:37:54.5326087Z assert_size_stride(buf2, (2, 3, 16, 16, 16), (12288, 4096, 256, 16, 1)) 2022-11-23T01:37:54.5326152Z del buf0 2022-11-23T01:37:54.5326216Z del buf1 2022-11-23T01:37:54.5326287Z del primals_2 2022-11-23T01:37:54.5326373Z return (buf2, primals_1, primals_3, ) 2022-11-23T01:37:54.5326378Z 2022-11-23T01:37:54.5326447Z 2022-11-23T01:37:54.5326512Z if __name__ == "__main__": 2022-11-23T01:37:54.5326627Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5326750Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5326977Z primals_1 = rand_strided((3, 3, 1, 1, 1), (3, 1, 3, 3, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5327178Z primals_2 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5327415Z primals_3 = rand_strided((2, 3, 16, 16, 16), (12288, 1, 768, 48, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5327601Z print_performance(lambda: call([primals_1, primals_2, primals_3])) 2022-11-23T01:37:54.5327606Z 2022-11-23T01:37:54.5327610Z 2022-11-23T01:37:54.5327705Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5327760Z import torch 2022-11-23T01:37:54.5327832Z import random 2022-11-23T01:37:54.5327949Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5328072Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5328076Z 2022-11-23T01:37:54.5328155Z aten = torch.ops.aten 2022-11-23T01:37:54.5328288Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5328375Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5328380Z 2022-11-23T01:37:54.5328384Z 2022-11-23T01:37:54.5334380Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.5334621Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.5334747Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.5334860Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.5334963Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.5335048Z float* __restrict__ out_ptr1) 2022-11-23T01:37:54.5335111Z { 2022-11-23T01:37:54.5335195Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:37:54.5335259Z { 2022-11-23T01:37:54.5335408Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:54.5335502Z tmp0.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.5335567Z } 2022-11-23T01:37:54.5335642Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.5335722Z for(long i0=8; i0<9; i0+=1) 2022-11-23T01:37:54.5335785Z { 2022-11-23T01:37:54.5335869Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.5335948Z out_ptr0[i0] = tmp0; 2022-11-23T01:37:54.5336009Z } 2022-11-23T01:37:54.5336072Z #pragma GCC ivdep 2022-11-23T01:37:54.5336153Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:54.5336218Z { 2022-11-23T01:37:54.5336299Z #pragma GCC ivdep 2022-11-23T01:37:54.5336383Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:37:54.5336448Z { 2022-11-23T01:37:54.5336527Z #pragma GCC ivdep 2022-11-23T01:37:54.5336602Z for(long i2=0; i2<4096; i2+=1) 2022-11-23T01:37:54.5336667Z { 2022-11-23T01:37:54.5336736Z { 2022-11-23T01:37:54.5336804Z { 2022-11-23T01:37:54.5336920Z auto tmp0 = in_ptr1[i1 + (3*i2) + (12288*i0)]; 2022-11-23T01:37:54.5337026Z out_ptr1[i2 + (4096*i1) + (12288*i0)] = tmp0; 2022-11-23T01:37:54.5337093Z } 2022-11-23T01:37:54.5337143Z } 2022-11-23T01:37:54.5337207Z } 2022-11-23T01:37:54.5337270Z } 2022-11-23T01:37:54.5337331Z } 2022-11-23T01:37:54.5337392Z } 2022-11-23T01:37:54.5337496Z ''') 2022-11-23T01:37:54.5337502Z 2022-11-23T01:37:54.5337506Z 2022-11-23T01:37:54.5337602Z async_compile.wait(globals()) 2022-11-23T01:37:54.5337662Z del async_compile 2022-11-23T01:37:54.5337667Z 2022-11-23T01:37:54.5337739Z def call(args): 2022-11-23T01:37:54.5337842Z primals_1, primals_2, primals_3 = args 2022-11-23T01:37:54.5337915Z args.clear() 2022-11-23T01:37:54.5338141Z buf0 = empty_strided((3, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5338468Z buf1 = empty_strided((2, 3, 16, 16, 16), (12288, 4096, 256, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5338676Z kernel_cpp_0(c_void_p(primals_1.data_ptr()), c_void_p(primals_3.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:54.5339063Z buf2 = aten.convolution(buf1, buf0, primals_2, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1) 2022-11-23T01:37:54.5339174Z assert_size_stride(buf2, (2, 3, 16, 16, 16), (12288, 4096, 256, 16, 1)) 2022-11-23T01:37:54.5339243Z del buf0 2022-11-23T01:37:54.5339311Z del buf1 2022-11-23T01:37:54.5339468Z del primals_2 2022-11-23T01:37:54.5339570Z return (buf2, primals_1, primals_3, ) 2022-11-23T01:37:54.5339576Z 2022-11-23T01:37:54.5339580Z 2022-11-23T01:37:54.5339658Z if __name__ == "__main__": 2022-11-23T01:37:54.5339773Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5339882Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5340121Z primals_1 = rand_strided((3, 3, 1, 1, 1), (3, 1, 3, 3, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5340325Z primals_2 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5340565Z primals_3 = rand_strided((2, 3, 16, 16, 16), (12288, 1, 768, 48, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5340706Z print_performance(lambda: call([primals_1, primals_2, primals_3])) 2022-11-23T01:37:54.5340711Z 2022-11-23T01:37:54.5340779Z ok (3.047s) 2022-11-23T01:37:54.5340920Z test_conv_autotune_cpu (__main__.CpuTests) ... skip: requires cuda (0.001s) 2022-11-23T01:37:54.5341248Z test_conv_backward_cpu (__main__.CpuTests) ... [2022-11-23 01:30:43,933] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5341529Z [2022-11-23 01:30:43,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5341740Z [2022-11-23 01:30:43,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5342000Z [2022-11-23 01:30:43,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.5342294Z [2022-11-23 01:30:43,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.5342623Z [2022-11-23 01:30:43,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5342959Z [2022-11-23 01:30:43,934] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.5343064Z 4281 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.5343179Z 2 LOAD_ATTR 1 (convolution_backward) 2022-11-23T01:37:54.5343185Z 2022-11-23T01:37:54.5343292Z 4282 4 LOAD_FAST 0 (rank4_inps) 2022-11-23T01:37:54.5343297Z 2022-11-23T01:37:54.5343390Z 4283 6 LOAD_DEREF 0 (C) 2022-11-23T01:37:54.5343467Z 8 BUILD_LIST 1 2022-11-23T01:37:54.5343486Z 2022-11-23T01:37:54.5343562Z 4284 10 LOAD_CONST 1 (1) 2022-11-23T01:37:54.5343653Z 12 LOAD_CONST 1 (1) 2022-11-23T01:37:54.5343739Z 14 BUILD_LIST 2 2022-11-23T01:37:54.5343744Z 2022-11-23T01:37:54.5343834Z 4285 16 LOAD_CONST 2 (0) 2022-11-23T01:37:54.5343921Z 18 LOAD_CONST 2 (0) 2022-11-23T01:37:54.5344009Z 20 BUILD_LIST 2 2022-11-23T01:37:54.5344014Z 2022-11-23T01:37:54.5344100Z 4286 22 LOAD_CONST 1 (1) 2022-11-23T01:37:54.5344173Z 24 LOAD_CONST 1 (1) 2022-11-23T01:37:54.5344260Z 26 BUILD_LIST 2 2022-11-23T01:37:54.5344264Z 2022-11-23T01:37:54.5344399Z 4287 28 LOAD_CONST 3 (False) 2022-11-23T01:37:54.5344405Z 2022-11-23T01:37:54.5344494Z 4288 30 LOAD_CONST 2 (0) 2022-11-23T01:37:54.5344580Z 32 LOAD_CONST 2 (0) 2022-11-23T01:37:54.5344664Z 34 BUILD_LIST 2 2022-11-23T01:37:54.5344669Z 2022-11-23T01:37:54.5344755Z 4289 36 LOAD_CONST 1 (1) 2022-11-23T01:37:54.5344759Z 2022-11-23T01:37:54.5344851Z 4290 38 LOAD_CONST 4 (True) 2022-11-23T01:37:54.5344942Z 40 LOAD_CONST 4 (True) 2022-11-23T01:37:54.5345046Z 42 LOAD_CONST 4 (True) 2022-11-23T01:37:54.5345133Z 44 BUILD_LIST 3 2022-11-23T01:37:54.5345223Z 46 BUILD_TUPLE 8 2022-11-23T01:37:54.5345328Z 48 BUILD_TUPLE_UNPACK_WITH_CALL 2 2022-11-23T01:37:54.5345418Z 50 CALL_FUNCTION_EX 0 2022-11-23T01:37:54.5345513Z 52 STORE_FAST 3 (out1) 2022-11-23T01:37:54.5345518Z 2022-11-23T01:37:54.5345609Z 4292 54 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.5345710Z 56 LOAD_ATTR 1 (convolution_backward) 2022-11-23T01:37:54.5345729Z 2022-11-23T01:37:54.5345816Z 4293 58 LOAD_FAST 0 (rank4_inps) 2022-11-23T01:37:54.5345821Z 2022-11-23T01:37:54.5345914Z 4294 60 LOAD_DEREF 0 (C) 2022-11-23T01:37:54.5346003Z 62 BUILD_LIST 1 2022-11-23T01:37:54.5346008Z 2022-11-23T01:37:54.5346097Z 4295 64 LOAD_CONST 1 (1) 2022-11-23T01:37:54.5346188Z 66 LOAD_CONST 1 (1) 2022-11-23T01:37:54.5346275Z 68 BUILD_LIST 2 2022-11-23T01:37:54.5346280Z 2022-11-23T01:37:54.5346366Z 4296 70 LOAD_CONST 2 (0) 2022-11-23T01:37:54.5346452Z 72 LOAD_CONST 2 (0) 2022-11-23T01:37:54.5346526Z 74 BUILD_LIST 2 2022-11-23T01:37:54.5346530Z 2022-11-23T01:37:54.5346615Z 4297 76 LOAD_CONST 1 (1) 2022-11-23T01:37:54.5346701Z 78 LOAD_CONST 1 (1) 2022-11-23T01:37:54.5346786Z 80 BUILD_LIST 2 2022-11-23T01:37:54.5346791Z 2022-11-23T01:37:54.5346883Z 4298 82 LOAD_CONST 3 (False) 2022-11-23T01:37:54.5346888Z 2022-11-23T01:37:54.5346975Z 4299 84 LOAD_CONST 2 (0) 2022-11-23T01:37:54.5347063Z 86 LOAD_CONST 2 (0) 2022-11-23T01:37:54.5347151Z 88 BUILD_LIST 2 2022-11-23T01:37:54.5347157Z 2022-11-23T01:37:54.5347229Z 4300 90 LOAD_CONST 1 (1) 2022-11-23T01:37:54.5347234Z 2022-11-23T01:37:54.5347326Z 4301 92 LOAD_CONST 4 (True) 2022-11-23T01:37:54.5347417Z 94 LOAD_CONST 3 (False) 2022-11-23T01:37:54.5347511Z 96 LOAD_CONST 3 (False) 2022-11-23T01:37:54.5347597Z 98 BUILD_LIST 3 2022-11-23T01:37:54.5347686Z 100 BUILD_TUPLE 8 2022-11-23T01:37:54.5347792Z 102 BUILD_TUPLE_UNPACK_WITH_CALL 2 2022-11-23T01:37:54.5347883Z 104 CALL_FUNCTION_EX 0 2022-11-23T01:37:54.5347963Z 106 STORE_FAST 4 (out2) 2022-11-23T01:37:54.5347968Z 2022-11-23T01:37:54.5348058Z 4303 108 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.5348250Z 110 LOAD_ATTR 1 (convolution_backward) 2022-11-23T01:37:54.5348260Z 2022-11-23T01:37:54.5348362Z 4304 112 LOAD_FAST 1 (rank3_inps) 2022-11-23T01:37:54.5348367Z 2022-11-23T01:37:54.5348459Z 4305 114 LOAD_DEREF 0 (C) 2022-11-23T01:37:54.5348547Z 116 BUILD_LIST 1 2022-11-23T01:37:54.5348551Z 2022-11-23T01:37:54.5348638Z 4306 118 LOAD_CONST 1 (1) 2022-11-23T01:37:54.5348758Z 120 BUILD_LIST 1 2022-11-23T01:37:54.5348764Z 2022-11-23T01:37:54.5348838Z 4307 122 LOAD_CONST 2 (0) 2022-11-23T01:37:54.5348925Z 124 BUILD_LIST 1 2022-11-23T01:37:54.5348930Z 2022-11-23T01:37:54.5349017Z 4308 126 LOAD_CONST 1 (1) 2022-11-23T01:37:54.5349104Z 128 BUILD_LIST 1 2022-11-23T01:37:54.5349108Z 2022-11-23T01:37:54.5349200Z 4309 130 LOAD_CONST 3 (False) 2022-11-23T01:37:54.5349204Z 2022-11-23T01:37:54.5349292Z 4310 132 LOAD_CONST 2 (0) 2022-11-23T01:37:54.5349409Z 134 BUILD_LIST 1 2022-11-23T01:37:54.5349414Z 2022-11-23T01:37:54.5349502Z 4311 136 LOAD_CONST 1 (1) 2022-11-23T01:37:54.5349506Z 2022-11-23T01:37:54.5349597Z 4312 138 LOAD_CONST 4 (True) 2022-11-23T01:37:54.5349673Z 140 LOAD_CONST 4 (True) 2022-11-23T01:37:54.5349762Z 142 LOAD_CONST 4 (True) 2022-11-23T01:37:54.5349849Z 144 BUILD_LIST 3 2022-11-23T01:37:54.5349939Z 146 BUILD_TUPLE 8 2022-11-23T01:37:54.5350042Z 148 BUILD_TUPLE_UNPACK_WITH_CALL 2 2022-11-23T01:37:54.5350133Z 150 CALL_FUNCTION_EX 0 2022-11-23T01:37:54.5350225Z 152 STORE_FAST 5 (out3) 2022-11-23T01:37:54.5350230Z 2022-11-23T01:37:54.5350319Z 4314 154 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.5350420Z 156 LOAD_ATTR 1 (convolution_backward) 2022-11-23T01:37:54.5350427Z 2022-11-23T01:37:54.5350528Z 4315 158 LOAD_FAST 2 (rank5_inps) 2022-11-23T01:37:54.5350533Z 2022-11-23T01:37:54.5350622Z 4316 160 LOAD_DEREF 0 (C) 2022-11-23T01:37:54.5350707Z 162 BUILD_LIST 1 2022-11-23T01:37:54.5350712Z 2022-11-23T01:37:54.5350801Z 4317 164 LOAD_CONST 1 (1) 2022-11-23T01:37:54.5350887Z 166 LOAD_CONST 1 (1) 2022-11-23T01:37:54.5350974Z 168 LOAD_CONST 1 (1) 2022-11-23T01:37:54.5351060Z 170 BUILD_LIST 3 2022-11-23T01:37:54.5351065Z 2022-11-23T01:37:54.5351137Z 4318 172 LOAD_CONST 2 (0) 2022-11-23T01:37:54.5351225Z 174 LOAD_CONST 2 (0) 2022-11-23T01:37:54.5351311Z 176 LOAD_CONST 2 (0) 2022-11-23T01:37:54.5351396Z 178 BUILD_LIST 3 2022-11-23T01:37:54.5351401Z 2022-11-23T01:37:54.5351488Z 4319 180 LOAD_CONST 1 (1) 2022-11-23T01:37:54.5351573Z 182 LOAD_CONST 1 (1) 2022-11-23T01:37:54.5351660Z 184 LOAD_CONST 1 (1) 2022-11-23T01:37:54.5351746Z 186 BUILD_LIST 3 2022-11-23T01:37:54.5351751Z 2022-11-23T01:37:54.5351829Z 4320 188 LOAD_CONST 3 (False) 2022-11-23T01:37:54.5351835Z 2022-11-23T01:37:54.5351922Z 4321 190 LOAD_CONST 2 (0) 2022-11-23T01:37:54.5352007Z 192 LOAD_CONST 2 (0) 2022-11-23T01:37:54.5352091Z 194 LOAD_CONST 2 (0) 2022-11-23T01:37:54.5352176Z 196 BUILD_LIST 3 2022-11-23T01:37:54.5352181Z 2022-11-23T01:37:54.5352265Z 4322 198 LOAD_CONST 1 (1) 2022-11-23T01:37:54.5352270Z 2022-11-23T01:37:54.5352361Z 4323 200 LOAD_CONST 4 (True) 2022-11-23T01:37:54.5352451Z 202 LOAD_CONST 4 (True) 2022-11-23T01:37:54.5352530Z 204 LOAD_CONST 4 (True) 2022-11-23T01:37:54.5352616Z 206 BUILD_LIST 3 2022-11-23T01:37:54.5352705Z 208 BUILD_TUPLE 8 2022-11-23T01:37:54.5352808Z 210 BUILD_TUPLE_UNPACK_WITH_CALL 2 2022-11-23T01:37:54.5352898Z 212 CALL_FUNCTION_EX 0 2022-11-23T01:37:54.5353017Z 214 STORE_FAST 6 (out4) 2022-11-23T01:37:54.5353022Z 2022-11-23T01:37:54.5353111Z 4325 216 LOAD_FAST 3 (out1) 2022-11-23T01:37:54.5353199Z 218 LOAD_FAST 4 (out2) 2022-11-23T01:37:54.5353272Z 220 LOAD_FAST 5 (out3) 2022-11-23T01:37:54.5353357Z 222 LOAD_FAST 6 (out4) 2022-11-23T01:37:54.5353447Z 224 BUILD_TUPLE 4 2022-11-23T01:37:54.5353524Z 226 RETURN_VALUE 2022-11-23T01:37:54.5353590Z 2022-11-23T01:37:54.5353594Z 2022-11-23T01:37:54.5353920Z [2022-11-23 01:30:43,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4281 2022-11-23T01:37:54.5354148Z [2022-11-23 01:30:43,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.5354476Z [2022-11-23 01:30:43,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution_backward [TorchVariable()] 2022-11-23T01:37:54.5354751Z [2022-11-23 01:30:43,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4282 2022-11-23T01:37:54.5355046Z [2022-11-23 01:30:43,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rank4_inps [TorchVariable(aten.convolution_backward)] 2022-11-23T01:37:54.5355316Z [2022-11-23 01:30:43,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4283 2022-11-23T01:37:54.5355625Z [2022-11-23 01:30:43,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF C [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:37:54.5355972Z [2022-11-23 01:30:43,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.5356245Z [2022-11-23 01:30:43,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4284 2022-11-23T01:37:54.5356580Z [2022-11-23 01:30:43,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()] 2022-11-23T01:37:54.5356948Z [2022-11-23 01:30:43,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.5357355Z [2022-11-23 01:30:43,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.5357631Z [2022-11-23 01:30:43,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4285 2022-11-23T01:37:54.5357984Z [2022-11-23 01:30:43,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:54.5358365Z [2022-11-23 01:30:43,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.5358796Z [2022-11-23 01:30:43,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.5359064Z [2022-11-23 01:30:43,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4286 2022-11-23T01:37:54.5359446Z [2022-11-23 01:30:43,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:54.5359891Z [2022-11-23 01:30:43,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.5360349Z [2022-11-23 01:30:43,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.5360620Z [2022-11-23 01:30:43,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4287 2022-11-23T01:37:54.5361031Z [2022-11-23 01:30:43,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:54.5361334Z [2022-11-23 01:30:43,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4288 2022-11-23T01:37:54.5361780Z [2022-11-23 01:30:43,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:37:54.5362264Z [2022-11-23 01:30:43,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int)] 2022-11-23T01:37:54.5362779Z [2022-11-23 01:30:43,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.5363054Z [2022-11-23 01:30:43,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4289 2022-11-23T01:37:54.5363526Z [2022-11-23 01:30:43,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable()] 2022-11-23T01:37:54.5363795Z [2022-11-23 01:30:43,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4290 2022-11-23T01:37:54.5364288Z [2022-11-23 01:30:43,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.5364837Z [2022-11-23 01:30:43,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ConstantVariable(bool)] 2022-11-23T01:37:54.5365421Z [2022-11-23 01:30:43,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(bool)] 2022-11-23T01:37:54.5366043Z [2022-11-23 01:30:43,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(bool)] 2022-11-23T01:37:54.5366575Z [2022-11-23 01:30:43,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 8 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ListVariable()] 2022-11-23T01:37:54.5366970Z [2022-11-23 01:30:43,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE_UNPACK_WITH_CALL 2 [TorchVariable(aten.convolution_backward), ListVariable(), TupleVariable()] 2022-11-23T01:37:54.5367297Z [2022-11-23 01:30:43,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.convolution_backward), TupleVariable()] 2022-11-23T01:37:54.5367545Z [2022-11-23 01:30:43,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST out1 [TupleVariable()] 2022-11-23T01:37:54.5367818Z [2022-11-23 01:30:43,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4292 2022-11-23T01:37:54.5368040Z [2022-11-23 01:30:43,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.5368408Z [2022-11-23 01:30:43,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution_backward [TorchVariable()] 2022-11-23T01:37:54.5368679Z [2022-11-23 01:30:43,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4293 2022-11-23T01:37:54.5368979Z [2022-11-23 01:30:43,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rank4_inps [TorchVariable(aten.convolution_backward)] 2022-11-23T01:37:54.5369252Z [2022-11-23 01:30:43,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4294 2022-11-23T01:37:54.5369543Z [2022-11-23 01:30:43,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF C [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:37:54.5369885Z [2022-11-23 01:30:43,950] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.5370158Z [2022-11-23 01:30:43,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4295 2022-11-23T01:37:54.5370491Z [2022-11-23 01:30:43,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()] 2022-11-23T01:37:54.5370859Z [2022-11-23 01:30:43,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.5371266Z [2022-11-23 01:30:43,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.5371536Z [2022-11-23 01:30:43,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4296 2022-11-23T01:37:54.5371888Z [2022-11-23 01:30:43,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:54.5372275Z [2022-11-23 01:30:43,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.5372708Z [2022-11-23 01:30:43,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.5372979Z [2022-11-23 01:30:43,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4297 2022-11-23T01:37:54.5373354Z [2022-11-23 01:30:43,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:54.5373767Z [2022-11-23 01:30:43,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.5374253Z [2022-11-23 01:30:43,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.5374524Z [2022-11-23 01:30:43,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4298 2022-11-23T01:37:54.5374932Z [2022-11-23 01:30:43,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:54.5375199Z [2022-11-23 01:30:43,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4299 2022-11-23T01:37:54.5375681Z [2022-11-23 01:30:43,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:37:54.5376162Z [2022-11-23 01:30:43,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int)] 2022-11-23T01:37:54.5376672Z [2022-11-23 01:30:43,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.5376939Z [2022-11-23 01:30:43,951] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4300 2022-11-23T01:37:54.5377388Z [2022-11-23 01:30:43,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable()] 2022-11-23T01:37:54.5377658Z [2022-11-23 01:30:43,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4301 2022-11-23T01:37:54.5378168Z [2022-11-23 01:30:43,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.5378717Z [2022-11-23 01:30:43,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ConstantVariable(bool)] 2022-11-23T01:37:54.5379534Z [2022-11-23 01:30:43,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(bool)] 2022-11-23T01:37:54.5380155Z [2022-11-23 01:30:43,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(bool)] 2022-11-23T01:37:54.5380688Z [2022-11-23 01:30:43,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 8 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ListVariable()] 2022-11-23T01:37:54.5381059Z [2022-11-23 01:30:43,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE_UNPACK_WITH_CALL 2 [TorchVariable(aten.convolution_backward), ListVariable(), TupleVariable()] 2022-11-23T01:37:54.5381381Z [2022-11-23 01:30:43,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.convolution_backward), TupleVariable()] 2022-11-23T01:37:54.5381684Z [2022-11-23 01:30:43,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST out2 [TupleVariable()] 2022-11-23T01:37:54.5381958Z [2022-11-23 01:30:43,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4303 2022-11-23T01:37:54.5382183Z [2022-11-23 01:30:43,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.5382518Z [2022-11-23 01:30:43,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution_backward [TorchVariable()] 2022-11-23T01:37:54.5382789Z [2022-11-23 01:30:43,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4304 2022-11-23T01:37:54.5383128Z [2022-11-23 01:30:43,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rank3_inps [TorchVariable(aten.convolution_backward)] 2022-11-23T01:37:54.5383387Z [2022-11-23 01:30:43,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4305 2022-11-23T01:37:54.5383693Z [2022-11-23 01:30:43,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF C [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:37:54.5384036Z [2022-11-23 01:30:43,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.5384306Z [2022-11-23 01:30:43,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4306 2022-11-23T01:37:54.5384636Z [2022-11-23 01:30:43,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()] 2022-11-23T01:37:54.5385006Z [2022-11-23 01:30:43,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.5385275Z [2022-11-23 01:30:43,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4307 2022-11-23T01:37:54.5385629Z [2022-11-23 01:30:43,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:54.5386020Z [2022-11-23 01:30:43,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.5386288Z [2022-11-23 01:30:43,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4308 2022-11-23T01:37:54.5386672Z [2022-11-23 01:30:43,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:54.5387077Z [2022-11-23 01:30:43,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.5387347Z [2022-11-23 01:30:43,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4309 2022-11-23T01:37:54.5387758Z [2022-11-23 01:30:43,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:54.5388026Z [2022-11-23 01:30:43,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4310 2022-11-23T01:37:54.5388560Z [2022-11-23 01:30:43,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:37:54.5389074Z [2022-11-23 01:30:43,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int)] 2022-11-23T01:37:54.5389345Z [2022-11-23 01:30:43,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4311 2022-11-23T01:37:54.5389807Z [2022-11-23 01:30:43,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable()] 2022-11-23T01:37:54.5390076Z [2022-11-23 01:30:43,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4312 2022-11-23T01:37:54.5390628Z [2022-11-23 01:30:43,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.5391180Z [2022-11-23 01:30:43,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ConstantVariable(bool)] 2022-11-23T01:37:54.5391764Z [2022-11-23 01:30:43,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(bool)] 2022-11-23T01:37:54.5392392Z [2022-11-23 01:30:43,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(bool)] 2022-11-23T01:37:54.5392923Z [2022-11-23 01:30:43,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 8 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ListVariable()] 2022-11-23T01:37:54.5393290Z [2022-11-23 01:30:43,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE_UNPACK_WITH_CALL 2 [TorchVariable(aten.convolution_backward), ListVariable(), TupleVariable()] 2022-11-23T01:37:54.5393610Z [2022-11-23 01:30:43,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.convolution_backward), TupleVariable()] 2022-11-23T01:37:54.5393862Z [2022-11-23 01:30:43,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST out3 [TupleVariable()] 2022-11-23T01:37:54.5394121Z [2022-11-23 01:30:43,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4314 2022-11-23T01:37:54.5394346Z [2022-11-23 01:30:43,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.5394682Z [2022-11-23 01:30:43,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution_backward [TorchVariable()] 2022-11-23T01:37:54.5394955Z [2022-11-23 01:30:43,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4315 2022-11-23T01:37:54.5395248Z [2022-11-23 01:30:43,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST rank5_inps [TorchVariable(aten.convolution_backward)] 2022-11-23T01:37:54.5395521Z [2022-11-23 01:30:43,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4316 2022-11-23T01:37:54.5395825Z [2022-11-23 01:30:43,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF C [TorchVariable(aten.convolution_backward), ListVariable()] 2022-11-23T01:37:54.5396197Z [2022-11-23 01:30:43,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.5396469Z [2022-11-23 01:30:43,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4317 2022-11-23T01:37:54.5396798Z [2022-11-23 01:30:43,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable()] 2022-11-23T01:37:54.5397161Z [2022-11-23 01:30:43,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.5397584Z [2022-11-23 01:30:43,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.5398030Z [2022-11-23 01:30:43,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.5398298Z [2022-11-23 01:30:43,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4318 2022-11-23T01:37:54.5398651Z [2022-11-23 01:30:43,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:54.5399040Z [2022-11-23 01:30:43,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.5399468Z [2022-11-23 01:30:43,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.5399935Z [2022-11-23 01:30:43,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.5400203Z [2022-11-23 01:30:43,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4319 2022-11-23T01:37:54.5400579Z [2022-11-23 01:30:43,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:54.5400995Z [2022-11-23 01:30:43,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.5401452Z [2022-11-23 01:30:43,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.5401945Z [2022-11-23 01:30:43,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.5402214Z [2022-11-23 01:30:43,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4320 2022-11-23T01:37:54.5402621Z [2022-11-23 01:30:43,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:54.5402887Z [2022-11-23 01:30:43,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4321 2022-11-23T01:37:54.5403341Z [2022-11-23 01:30:43,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:37:54.5403823Z [2022-11-23 01:30:43,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int)] 2022-11-23T01:37:54.5404335Z [2022-11-23 01:30:43,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.5404915Z [2022-11-23 01:30:43,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.5405184Z [2022-11-23 01:30:43,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4322 2022-11-23T01:37:54.5405644Z [2022-11-23 01:30:43,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable()] 2022-11-23T01:37:54.5405909Z [2022-11-23 01:30:43,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4323 2022-11-23T01:37:54.5406416Z [2022-11-23 01:30:43,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.5406965Z [2022-11-23 01:30:43,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ConstantVariable(bool)] 2022-11-23T01:37:54.5407554Z [2022-11-23 01:30:43,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(bool)] 2022-11-23T01:37:54.5408173Z [2022-11-23 01:30:43,970] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(bool)] 2022-11-23T01:37:54.5408708Z [2022-11-23 01:30:43,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 8 [TorchVariable(aten.convolution_backward), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int), ListVariable()] 2022-11-23T01:37:54.5409073Z [2022-11-23 01:30:43,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE_UNPACK_WITH_CALL 2 [TorchVariable(aten.convolution_backward), ListVariable(), TupleVariable()] 2022-11-23T01:37:54.5409392Z [2022-11-23 01:30:43,971] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.convolution_backward), TupleVariable()] 2022-11-23T01:37:54.5409640Z [2022-11-23 01:30:43,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST out4 [TupleVariable()] 2022-11-23T01:37:54.5409910Z [2022-11-23 01:30:43,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4325 2022-11-23T01:37:54.5410159Z [2022-11-23 01:30:43,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST out1 [] 2022-11-23T01:37:54.5410393Z [2022-11-23 01:30:43,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST out2 [TupleVariable()] 2022-11-23T01:37:54.5410661Z [2022-11-23 01:30:43,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST out3 [TupleVariable(), TupleVariable()] 2022-11-23T01:37:54.5410954Z [2022-11-23 01:30:43,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST out4 [TupleVariable(), TupleVariable(), TupleVariable()] 2022-11-23T01:37:54.5411272Z [2022-11-23 01:30:43,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TupleVariable(), TupleVariable(), TupleVariable(), TupleVariable()] 2022-11-23T01:37:54.5411556Z [2022-11-23 01:30:43,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.5411888Z [2022-11-23 01:30:43,973] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.5412137Z [2022-11-23 01:30:43,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.5412374Z [2022-11-23 01:30:43,973] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5412630Z [2022-11-23 01:30:43,977] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5412883Z [2022-11-23 01:30:43,986] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5413060Z [2022-11-23 01:30:43,987] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5413199Z __compiled_fn_64 .438 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5413292Z placeholder, ex_0_0_, ex_0_0_, (), {} 2022-11-23T01:37:54.5413378Z placeholder, ex_0_1_, ex_0_1_, (), {} 2022-11-23T01:37:54.5413464Z placeholder, ex_0_2_, ex_0_2_, (), {} 2022-11-23T01:37:54.5413546Z placeholder, ex_1_0_, ex_1_0_, (), {} 2022-11-23T01:37:54.5413631Z placeholder, ex_1_1_, ex_1_1_, (), {} 2022-11-23T01:37:54.5413704Z placeholder, ex_1_2_, ex_1_2_, (), {} 2022-11-23T01:37:54.5413786Z placeholder, ex_2_0_, ex_2_0_, (), {} 2022-11-23T01:37:54.5413869Z placeholder, ex_2_1_, ex_2_1_, (), {} 2022-11-23T01:37:54.5413951Z placeholder, ex_2_2_, ex_2_2_, (), {} 2022-11-23T01:37:54.5414150Z call_function, convolution_backward, aten.convolution_backward, (ex_0_0_, ex_0_1_, ex_0_2_, [4], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]), {} 2022-11-23T01:37:54.5414369Z call_function, getitem, , (convolution_backward, 0), {} 2022-11-23T01:37:54.5414590Z call_function, getitem_1, , (convolution_backward, 1), {} 2022-11-23T01:37:54.5414806Z call_function, getitem_2, , (convolution_backward, 2), {} 2022-11-23T01:37:54.5414995Z call_function, convolution_backward_1, aten.convolution_backward, (ex_0_0_, ex_0_1_, ex_0_2_, [4], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, False, False]), {} 2022-11-23T01:37:54.5415220Z call_function, getitem_3, , (convolution_backward_1, 0), {} 2022-11-23T01:37:54.5415415Z call_function, convolution_backward_2, aten.convolution_backward, (ex_1_0_, ex_1_1_, ex_1_2_, [4], [1], [0], [1], False, [0], 1, [True, True, True]), {} 2022-11-23T01:37:54.5415638Z call_function, getitem_4, , (convolution_backward_2, 0), {} 2022-11-23T01:37:54.5415858Z call_function, getitem_5, , (convolution_backward_2, 1), {} 2022-11-23T01:37:54.5416076Z call_function, getitem_6, , (convolution_backward_2, 2), {} 2022-11-23T01:37:54.5416281Z call_function, convolution_backward_3, aten.convolution_backward, (ex_2_0_, ex_2_1_, ex_2_2_, [4], [1, 1, 1], [0, 0, 0], [1, 1, 1], False, [0, 0, 0], 1, [True, True, True]), {} 2022-11-23T01:37:54.5416497Z call_function, getitem_7, , (convolution_backward_3, 0), {} 2022-11-23T01:37:54.5416748Z call_function, getitem_8, , (convolution_backward_3, 1), {} 2022-11-23T01:37:54.5416968Z call_function, getitem_9, , (convolution_backward_3, 2), {} 2022-11-23T01:37:54.5417153Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3, getitem_4, getitem_5, getitem_6, getitem_7, getitem_8, getitem_9),), {} 2022-11-23T01:37:54.5417164Z 2022-11-23T01:37:54.5417443Z [2022-11-23 01:30:43,988] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5417535Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5417659Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5417754Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5417841Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5417916Z 8 RETURN_VALUE 2022-11-23T01:37:54.5417921Z 2022-11-23T01:37:54.5417981Z 2022-11-23T01:37:54.5418247Z [2022-11-23 01:30:43,988] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5418355Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_64) 2022-11-23T01:37:54.5418444Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5418533Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5418609Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5418697Z 8 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5418887Z 10 BINARY_SUBSCR 2022-11-23T01:37:54.5419016Z 12 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5419167Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5419250Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.5419337Z 18 LOAD_CONST 2 (1) 2022-11-23T01:37:54.5419412Z 20 BINARY_SUBSCR 2022-11-23T01:37:54.5419499Z 22 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5419585Z 24 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5419648Z 26 BINARY_SUBSCR 2022-11-23T01:37:54.5419734Z 28 LOAD_CONST 3 (2) 2022-11-23T01:37:54.5419809Z 30 BINARY_SUBSCR 2022-11-23T01:37:54.5419898Z 32 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5419983Z 34 LOAD_CONST 2 (1) 2022-11-23T01:37:54.5420058Z 36 BINARY_SUBSCR 2022-11-23T01:37:54.5420145Z 38 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5420207Z 40 BINARY_SUBSCR 2022-11-23T01:37:54.5420295Z 42 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5420386Z 44 LOAD_CONST 2 (1) 2022-11-23T01:37:54.5420460Z 46 BINARY_SUBSCR 2022-11-23T01:37:54.5420546Z 48 LOAD_CONST 2 (1) 2022-11-23T01:37:54.5420621Z 50 BINARY_SUBSCR 2022-11-23T01:37:54.5420709Z 52 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5420783Z 54 LOAD_CONST 2 (1) 2022-11-23T01:37:54.5420858Z 56 BINARY_SUBSCR 2022-11-23T01:37:54.5420944Z 58 LOAD_CONST 3 (2) 2022-11-23T01:37:54.5421016Z 60 BINARY_SUBSCR 2022-11-23T01:37:54.5421102Z 62 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5421186Z 64 LOAD_CONST 3 (2) 2022-11-23T01:37:54.5421258Z 66 BINARY_SUBSCR 2022-11-23T01:37:54.5421330Z 68 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5421404Z 70 BINARY_SUBSCR 2022-11-23T01:37:54.5421491Z 72 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5421580Z 74 LOAD_CONST 3 (2) 2022-11-23T01:37:54.5421652Z 76 BINARY_SUBSCR 2022-11-23T01:37:54.5421736Z 78 LOAD_CONST 2 (1) 2022-11-23T01:37:54.5421808Z 80 BINARY_SUBSCR 2022-11-23T01:37:54.5421883Z 82 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5422020Z 84 LOAD_CONST 3 (2) 2022-11-23T01:37:54.5422096Z 86 BINARY_SUBSCR 2022-11-23T01:37:54.5422180Z 88 LOAD_CONST 3 (2) 2022-11-23T01:37:54.5422254Z 90 BINARY_SUBSCR 2022-11-23T01:37:54.5422343Z 92 CALL_FUNCTION 9 2022-11-23T01:37:54.5422449Z 94 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5422578Z 96 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:54.5422661Z 98 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:54.5422750Z 100 CALL_FUNCTION 0 2022-11-23T01:37:54.5422895Z 102 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:54.5422999Z 104 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5423086Z 106 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5423160Z 108 BINARY_SUBSCR 2022-11-23T01:37:54.5423262Z 110 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5423335Z 112 LOAD_CONST 2 (1) 2022-11-23T01:37:54.5423409Z 114 BINARY_SUBSCR 2022-11-23T01:37:54.5423508Z 116 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5423594Z 118 LOAD_CONST 3 (2) 2022-11-23T01:37:54.5423669Z 120 BINARY_SUBSCR 2022-11-23T01:37:54.5423756Z 122 BUILD_TUPLE 3 2022-11-23T01:37:54.5423862Z 124 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5423935Z 126 LOAD_CONST 4 (3) 2022-11-23T01:37:54.5424013Z 128 BINARY_SUBSCR 2022-11-23T01:37:54.5424105Z 130 LOAD_CONST 0 (None) 2022-11-23T01:37:54.5424196Z 132 LOAD_CONST 0 (None) 2022-11-23T01:37:54.5424284Z 134 BUILD_TUPLE 3 2022-11-23T01:37:54.5424383Z 136 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5424472Z 138 LOAD_CONST 5 (4) 2022-11-23T01:37:54.5424533Z 140 BINARY_SUBSCR 2022-11-23T01:37:54.5424634Z 142 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5424719Z 144 LOAD_CONST 6 (5) 2022-11-23T01:37:54.5424794Z 146 BINARY_SUBSCR 2022-11-23T01:37:54.5424893Z 148 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5424978Z 150 LOAD_CONST 7 (6) 2022-11-23T01:37:54.5425051Z 152 BINARY_SUBSCR 2022-11-23T01:37:54.5425126Z 154 BUILD_TUPLE 3 2022-11-23T01:37:54.5425225Z 156 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5425310Z 158 LOAD_CONST 8 (7) 2022-11-23T01:37:54.5425385Z 160 BINARY_SUBSCR 2022-11-23T01:37:54.5425482Z 162 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5425569Z 164 LOAD_CONST 9 (8) 2022-11-23T01:37:54.5425644Z 166 BINARY_SUBSCR 2022-11-23T01:37:54.5425730Z 168 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.5425815Z 170 LOAD_CONST 10 (9) 2022-11-23T01:37:54.5425888Z 172 BINARY_SUBSCR 2022-11-23T01:37:54.5425973Z 174 BUILD_TUPLE 3 2022-11-23T01:37:54.5426061Z 176 BUILD_TUPLE 4 2022-11-23T01:37:54.5426152Z 178 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5426250Z 180 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:54.5426338Z 182 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5426404Z 184 BINARY_SUBSCR 2022-11-23T01:37:54.5426502Z 186 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:54.5426592Z 188 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5426688Z 190 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:54.5426827Z 192 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5426904Z 194 BINARY_SUBSCR 2022-11-23T01:37:54.5427006Z 196 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:54.5427068Z 198 RETURN_VALUE 2022-11-23T01:37:54.5427077Z 2022-11-23T01:37:54.5427138Z 2022-11-23T01:37:54.5427344Z [2022-11-23 01:30:43,989] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5427416Z - 2022-11-23T01:37:54.5427536Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5427603Z { 2022-11-23T01:37:54.5427745Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5427957Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 3'], 2022-11-23T01:37:54.5428078Z 'obj_weakref': None 2022-11-23T01:37:54.5428399Z 'guarded_class': 2022-11-23T01:37:54.5428468Z } 2022-11-23T01:37:54.5428531Z 2022-11-23T01:37:54.5428601Z - 2022-11-23T01:37:54.5428730Z local 'ex[0]' LIST_LENGTH 2022-11-23T01:37:54.5428781Z { 2022-11-23T01:37:54.5428922Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5429120Z 'code': ['___check_type_id(ex[0], 93851402555296)', 'len(ex[0]) == 3'], 2022-11-23T01:37:54.5429244Z 'obj_weakref': None 2022-11-23T01:37:54.5429471Z 'guarded_class': 2022-11-23T01:37:54.5429536Z } 2022-11-23T01:37:54.5429598Z 2022-11-23T01:37:54.5429655Z - 2022-11-23T01:37:54.5429781Z local 'ex[1]' LIST_LENGTH 2022-11-23T01:37:54.5429844Z { 2022-11-23T01:37:54.5429988Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5430184Z 'code': ['___check_type_id(ex[1], 93851402555296)', 'len(ex[1]) == 3'], 2022-11-23T01:37:54.5430306Z 'obj_weakref': None 2022-11-23T01:37:54.5430531Z 'guarded_class': 2022-11-23T01:37:54.5430584Z } 2022-11-23T01:37:54.5430645Z 2022-11-23T01:37:54.5430714Z - 2022-11-23T01:37:54.5430838Z local 'ex[2]' LIST_LENGTH 2022-11-23T01:37:54.5430900Z { 2022-11-23T01:37:54.5431043Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5431239Z 'code': ['___check_type_id(ex[2], 93851402555296)', 'len(ex[2]) == 3'], 2022-11-23T01:37:54.5431346Z 'obj_weakref': None 2022-11-23T01:37:54.5431569Z 'guarded_class': 2022-11-23T01:37:54.5431634Z } 2022-11-23T01:37:54.5431697Z 2022-11-23T01:37:54.5431766Z - 2022-11-23T01:37:54.5431897Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.5431958Z { 2022-11-23T01:37:54.5432082Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5432256Z 'code': ['___check_obj_id(model, 140539049203760)'], 2022-11-23T01:37:54.5432375Z 'obj_weakref': None 2022-11-23T01:37:54.5432606Z 'guarded_class': 2022-11-23T01:37:54.5432668Z } 2022-11-23T01:37:54.5432729Z 2022-11-23T01:37:54.5432799Z - 2022-11-23T01:37:54.5432908Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5432973Z { 2022-11-23T01:37:54.5433111Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5433327Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5433450Z 'obj_weakref': None 2022-11-23T01:37:54.5433670Z 'guarded_class': 2022-11-23T01:37:54.5433733Z } 2022-11-23T01:37:54.5433781Z 2022-11-23T01:37:54.5433851Z - 2022-11-23T01:37:54.5434028Z local 'ex[0][0]' TENSOR_MATCH 2022-11-23T01:37:54.5434095Z { 2022-11-23T01:37:54.5434239Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5434347Z 'code': None, 2022-11-23T01:37:54.5434564Z 'obj_weakref': 2022-11-23T01:37:54.5434807Z 'guarded_class': 2022-11-23T01:37:54.5434871Z } 2022-11-23T01:37:54.5434934Z 2022-11-23T01:37:54.5435040Z - 2022-11-23T01:37:54.5435172Z local 'ex[0][1]' TENSOR_MATCH 2022-11-23T01:37:54.5435239Z { 2022-11-23T01:37:54.5435386Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5435481Z 'code': None, 2022-11-23T01:37:54.5435696Z 'obj_weakref': 2022-11-23T01:37:54.5435954Z 'guarded_class': 2022-11-23T01:37:54.5436020Z } 2022-11-23T01:37:54.5436083Z 2022-11-23T01:37:54.5436156Z - 2022-11-23T01:37:54.5436288Z local 'ex[0][2]' TENSOR_MATCH 2022-11-23T01:37:54.5436340Z { 2022-11-23T01:37:54.5436487Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5436601Z 'code': None, 2022-11-23T01:37:54.5436818Z 'obj_weakref': 2022-11-23T01:37:54.5437080Z 'guarded_class': 2022-11-23T01:37:54.5437146Z } 2022-11-23T01:37:54.5437211Z 2022-11-23T01:37:54.5437270Z - 2022-11-23T01:37:54.5437401Z local 'ex[1][0]' TENSOR_MATCH 2022-11-23T01:37:54.5437468Z { 2022-11-23T01:37:54.5437615Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5437726Z 'code': None, 2022-11-23T01:37:54.5437942Z 'obj_weakref': 2022-11-23T01:37:54.5438196Z 'guarded_class': 2022-11-23T01:37:54.5438248Z } 2022-11-23T01:37:54.5438312Z 2022-11-23T01:37:54.5438384Z - 2022-11-23T01:37:54.5438518Z local 'ex[1][1]' TENSOR_MATCH 2022-11-23T01:37:54.5438582Z { 2022-11-23T01:37:54.5438728Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5438842Z 'code': None, 2022-11-23T01:37:54.5439042Z 'obj_weakref': 2022-11-23T01:37:54.5439294Z 'guarded_class': 2022-11-23T01:37:54.5439361Z } 2022-11-23T01:37:54.5439426Z 2022-11-23T01:37:54.5439499Z - 2022-11-23T01:37:54.5439631Z local 'ex[1][2]' TENSOR_MATCH 2022-11-23T01:37:54.5439697Z { 2022-11-23T01:37:54.5439828Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5439937Z 'code': None, 2022-11-23T01:37:54.5440149Z 'obj_weakref': 2022-11-23T01:37:54.5440403Z 'guarded_class': 2022-11-23T01:37:54.5440473Z } 2022-11-23T01:37:54.5440537Z 2022-11-23T01:37:54.5440611Z - 2022-11-23T01:37:54.5440728Z local 'ex[2][0]' TENSOR_MATCH 2022-11-23T01:37:54.5440795Z { 2022-11-23T01:37:54.5440939Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5441049Z 'code': None, 2022-11-23T01:37:54.5441289Z 'obj_weakref': 2022-11-23T01:37:54.5441544Z 'guarded_class': 2022-11-23T01:37:54.5441612Z } 2022-11-23T01:37:54.5441665Z 2022-11-23T01:37:54.5441737Z - 2022-11-23T01:37:54.5441867Z local 'ex[2][1]' TENSOR_MATCH 2022-11-23T01:37:54.5441933Z { 2022-11-23T01:37:54.5442075Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5442187Z 'code': None, 2022-11-23T01:37:54.5442400Z 'obj_weakref': 2022-11-23T01:37:54.5442674Z 'guarded_class': 2022-11-23T01:37:54.5442738Z } 2022-11-23T01:37:54.5442802Z 2022-11-23T01:37:54.5442873Z - 2022-11-23T01:37:54.5443005Z local 'ex[2][2]' TENSOR_MATCH 2022-11-23T01:37:54.5443073Z { 2022-11-23T01:37:54.5443217Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5443312Z 'code': None, 2022-11-23T01:37:54.5443520Z 'obj_weakref': 2022-11-23T01:37:54.5443770Z 'guarded_class': 2022-11-23T01:37:54.5443832Z } 2022-11-23T01:37:54.5443896Z 2022-11-23T01:37:54.5443965Z - 2022-11-23T01:37:54.5444148Z local 'model.__closure__[0].cell_contents' CONSTANT_MATCH 2022-11-23T01:37:54.5444201Z { 2022-11-23T01:37:54.5444342Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:54.5444621Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93851402553120)', 'model.__closure__[0].cell_contents == 4'], 2022-11-23T01:37:54.5444743Z 'obj_weakref': None 2022-11-23T01:37:54.5444967Z 'guarded_class': 2022-11-23T01:37:54.5445031Z } 2022-11-23T01:37:54.5445092Z 2022-11-23T01:37:54.5445160Z - 2022-11-23T01:37:54.5445280Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.5445343Z { 2022-11-23T01:37:54.5445464Z 'guard_types': None, 2022-11-23T01:37:54.5445574Z 'code': None, 2022-11-23T01:37:54.5445692Z 'obj_weakref': None 2022-11-23T01:37:54.5445814Z 'guarded_class': None 2022-11-23T01:37:54.5445868Z } 2022-11-23T01:37:54.5445929Z 2022-11-23T01:37:54.5446191Z [2022-11-23 01:30:44,007] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 63 2022-11-23T01:37:54.5446568Z [2022-11-23 01:30:44,037] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jn/cjn2gdsbses4sdmgogfc6zh2ujfoinqq4jl2szxufhey4yyxneg7.py 2022-11-23T01:37:54.5446840Z [2022-11-23 01:30:44,037] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 63 2022-11-23T01:37:54.5447147Z [2022-11-23 01:30:44,038] torch._dynamo.eval_frame: [DEBUG] skipping make_cell /opt/conda/lib/python3.7/site-packages/torch/_dynamo/utils.py 2022-11-23T01:37:54.5447156Z 2022-11-23T01:37:54.5447250Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5447319Z import torch 2022-11-23T01:37:54.5447386Z import random 2022-11-23T01:37:54.5447489Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5447608Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5447616Z 2022-11-23T01:37:54.5447694Z aten = torch.ops.aten 2022-11-23T01:37:54.5447826Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5447917Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5447922Z 2022-11-23T01:37:54.5447926Z 2022-11-23T01:37:54.5448012Z async_compile.wait(globals()) 2022-11-23T01:37:54.5448115Z del async_compile 2022-11-23T01:37:54.5448121Z 2022-11-23T01:37:54.5448192Z def call(args): 2022-11-23T01:37:54.5448307Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1, arg8_1 = args 2022-11-23T01:37:54.5448378Z args.clear() 2022-11-23T01:37:54.5448539Z buf0 = aten.convolution_backward(arg0_1, arg1_1, arg2_1, [4], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, True, True]) 2022-11-23T01:37:54.5448607Z buf1 = buf0[0] 2022-11-23T01:37:54.5448714Z assert_size_stride(buf1, (3, 4, 5, 5), (100, 25, 5, 1)) 2022-11-23T01:37:54.5448781Z buf2 = buf0[1] 2022-11-23T01:37:54.5448916Z assert_size_stride(buf2, (4, 4, 3, 3), (36, 9, 3, 1)) 2022-11-23T01:37:54.5448971Z buf3 = buf0[2] 2022-11-23T01:37:54.5449064Z assert_size_stride(buf3, (4, ), (1, )) 2022-11-23T01:37:54.5449128Z del buf0 2022-11-23T01:37:54.5449292Z buf4 = aten.convolution_backward(arg0_1, arg1_1, arg2_1, [4], [1, 1], [0, 0], [1, 1], False, [0, 0], 1, [True, False, False]) 2022-11-23T01:37:54.5449361Z del arg0_1 2022-11-23T01:37:54.5449427Z del arg1_1 2022-11-23T01:37:54.5449492Z del arg2_1 2022-11-23T01:37:54.5449546Z buf5 = buf4[0] 2022-11-23T01:37:54.5449652Z assert_size_stride(buf5, (3, 4, 5, 5), (100, 25, 5, 1)) 2022-11-23T01:37:54.5449717Z del buf4 2022-11-23T01:37:54.5449876Z buf6 = aten.convolution_backward(arg3_1, arg4_1, arg5_1, [4], [1], [0], [1], False, [0], 1, [True, True, True]) 2022-11-23T01:37:54.5449942Z del arg3_1 2022-11-23T01:37:54.5450010Z del arg4_1 2022-11-23T01:37:54.5450074Z del arg5_1 2022-11-23T01:37:54.5450128Z buf7 = buf6[0] 2022-11-23T01:37:54.5450235Z assert_size_stride(buf7, (3, 4, 5, 5), (100, 25, 5, 1)) 2022-11-23T01:37:54.5450303Z buf8 = buf6[1] 2022-11-23T01:37:54.5450404Z assert_size_stride(buf8, (4, 4, 3, 3), (36, 9, 3, 1)) 2022-11-23T01:37:54.5450470Z buf9 = buf6[2] 2022-11-23T01:37:54.5450563Z assert_size_stride(buf9, (4, ), (1, )) 2022-11-23T01:37:54.5450626Z del buf6 2022-11-23T01:37:54.5450788Z buf10 = aten.convolution_backward(arg6_1, arg7_1, arg8_1, [4], [1, 1, 1], [0, 0, 0], [1, 1, 1], False, [0, 0, 0], 1, [True, True, True]) 2022-11-23T01:37:54.5450853Z del arg6_1 2022-11-23T01:37:54.5450918Z del arg7_1 2022-11-23T01:37:54.5450983Z del arg8_1 2022-11-23T01:37:54.5451050Z buf11 = buf10[0] 2022-11-23T01:37:54.5451165Z assert_size_stride(buf11, (3, 4, 5, 5, 5), (500, 125, 25, 5, 1)) 2022-11-23T01:37:54.5451235Z buf12 = buf10[1] 2022-11-23T01:37:54.5451332Z assert_size_stride(buf12, (4, 4, 3, 3, 3), (108, 27, 9, 3, 1)) 2022-11-23T01:37:54.5451398Z buf13 = buf10[2] 2022-11-23T01:37:54.5451493Z assert_size_stride(buf13, (4, ), (1, )) 2022-11-23T01:37:54.5451556Z del buf10 2022-11-23T01:37:54.5451683Z return (buf1, buf2, buf3, buf5, buf7, buf8, buf9, buf11, buf12, buf13, ) 2022-11-23T01:37:54.5451688Z 2022-11-23T01:37:54.5451692Z 2022-11-23T01:37:54.5451765Z if __name__ == "__main__": 2022-11-23T01:37:54.5451880Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5451989Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5452208Z arg0_1 = rand_strided((3, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5452420Z arg1_1 = rand_strided((3, 4, 5, 5), (100, 25, 5, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5452632Z arg2_1 = rand_strided((4, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5452840Z arg3_1 = rand_strided((3, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5453048Z arg4_1 = rand_strided((3, 4, 5, 5), (100, 25, 5, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5453258Z arg5_1 = rand_strided((4, 4, 3, 3), (36, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5453478Z arg6_1 = rand_strided((3, 4, 3, 3, 3), (108, 27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5453731Z arg7_1 = rand_strided((3, 4, 5, 5, 5), (500, 125, 25, 5, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5453940Z arg8_1 = rand_strided((4, 4, 3, 3, 3), (108, 27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5454102Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1, arg8_1])) 2022-11-23T01:37:54.5454108Z 2022-11-23T01:37:54.5454173Z ok (0.117s) 2022-11-23T01:37:54.5454491Z test_conv_bn_fuse_cpu (__main__.CpuTests) ... [2022-11-23 01:30:44,045] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5454768Z [2022-11-23 01:30:44,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5455030Z [2022-11-23 01:30:44,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5455277Z [2022-11-23 01:30:44,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.5455561Z [2022-11-23 01:30:44,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.5455881Z [2022-11-23 01:30:44,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5456117Z [2022-11-23 01:30:44,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.5456354Z [2022-11-23 01:30:44,059] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5456611Z [2022-11-23 01:30:44,060] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5456864Z [2022-11-23 01:30:44,075] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5457057Z [2022-11-23 01:30:44,075] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5457194Z __compiled_fn_65 .449 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5457284Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5457385Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.5457483Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.5457489Z 2022-11-23T01:37:54.5457756Z [2022-11-23 01:30:44,075] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5457853Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5457944Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5458036Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5458127Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5458202Z 8 RETURN_VALUE 2022-11-23T01:37:54.5458207Z 2022-11-23T01:37:54.5458266Z 2022-11-23T01:37:54.5458527Z [2022-11-23 01:30:44,076] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5458637Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_65) 2022-11-23T01:37:54.5458852Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5458999Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5459109Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5459202Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5459292Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.5459367Z 12 RETURN_VALUE 2022-11-23T01:37:54.5459372Z 2022-11-23T01:37:54.5459418Z 2022-11-23T01:37:54.5459605Z [2022-11-23 01:30:44,076] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5459683Z - 2022-11-23T01:37:54.5459804Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5459869Z { 2022-11-23T01:37:54.5460012Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5460203Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5460313Z 'obj_weakref': None 2022-11-23T01:37:54.5460599Z 'guarded_class': 2022-11-23T01:37:54.5460669Z } 2022-11-23T01:37:54.5460732Z 2022-11-23T01:37:54.5460805Z - 2022-11-23T01:37:54.5460933Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5460996Z { 2022-11-23T01:37:54.5461127Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5461237Z 'code': None, 2022-11-23T01:37:54.5461454Z 'obj_weakref': 2022-11-23T01:37:54.5461753Z 'guarded_class': 2022-11-23T01:37:54.5461819Z } 2022-11-23T01:37:54.5461881Z 2022-11-23T01:37:54.5461952Z - 2022-11-23T01:37:54.5462061Z local 'model' NN_MODULE 2022-11-23T01:37:54.5462127Z { 2022-11-23T01:37:54.5462267Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5462441Z 'code': ['___check_obj_id(model, 140538744847632)'], 2022-11-23T01:37:54.5462667Z 'obj_weakref': 2022-11-23T01:37:54.5462905Z 'guarded_class': 2022-11-23T01:37:54.5462968Z } 2022-11-23T01:37:54.5463019Z 2022-11-23T01:37:54.5463088Z - 2022-11-23T01:37:54.5463211Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5463275Z { 2022-11-23T01:37:54.5463415Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5463636Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5463758Z 'obj_weakref': None 2022-11-23T01:37:54.5463967Z 'guarded_class': 2022-11-23T01:37:54.5464034Z } 2022-11-23T01:37:54.5464097Z 2022-11-23T01:37:54.5464169Z - 2022-11-23T01:37:54.5464316Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.5464377Z { 2022-11-23T01:37:54.5464502Z 'guard_types': None, 2022-11-23T01:37:54.5464598Z 'code': None, 2022-11-23T01:37:54.5464717Z 'obj_weakref': None 2022-11-23T01:37:54.5464840Z 'guarded_class': None 2022-11-23T01:37:54.5464904Z } 2022-11-23T01:37:54.5464965Z 2022-11-23T01:37:54.5465035Z - 2022-11-23T01:37:54.5465184Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.5465234Z { 2022-11-23T01:37:54.5465354Z 'guard_types': None, 2022-11-23T01:37:54.5465461Z 'code': None, 2022-11-23T01:37:54.5465579Z 'obj_weakref': None 2022-11-23T01:37:54.5465702Z 'guarded_class': None 2022-11-23T01:37:54.5465764Z } 2022-11-23T01:37:54.5465816Z 2022-11-23T01:37:54.5466074Z [2022-11-23 01:30:44,085] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 64 2022-11-23T01:37:54.5466446Z [2022-11-23 01:30:44,091] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/t2/ct2jtuochcqvhw6lznbzsdg7zqps7ewyrsuaidc6orxynyzhcfyc.py 2022-11-23T01:37:54.5466711Z [2022-11-23 01:30:44,091] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 64 2022-11-23T01:37:54.5466955Z [2022-11-23 01:30:44,094] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5467232Z [2022-11-23 01:30:44,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5467452Z [2022-11-23 01:30:44,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5467727Z [2022-11-23 01:30:44,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.5468009Z [2022-11-23 01:30:44,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.5468418Z [2022-11-23 01:30:44,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5468654Z [2022-11-23 01:30:44,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.5468890Z [2022-11-23 01:30:44,107] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5469200Z [2022-11-23 01:30:44,108] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5469455Z [2022-11-23 01:30:44,123] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5469646Z [2022-11-23 01:30:44,123] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5469784Z __compiled_fn_66 .460 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5469875Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5469972Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.5470057Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.5470063Z 2022-11-23T01:37:54.5470343Z [2022-11-23 01:30:44,124] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5470439Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5470530Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5470625Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5470717Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5470792Z 8 RETURN_VALUE 2022-11-23T01:37:54.5470798Z 2022-11-23T01:37:54.5470859Z 2022-11-23T01:37:54.5471127Z [2022-11-23 01:30:44,124] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5471237Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_66) 2022-11-23T01:37:54.5471328Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5471417Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5471494Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5471581Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5471673Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.5471735Z 12 RETURN_VALUE 2022-11-23T01:37:54.5471751Z 2022-11-23T01:37:54.5471799Z 2022-11-23T01:37:54.5471986Z [2022-11-23 01:30:44,125] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5472059Z - 2022-11-23T01:37:54.5472179Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5472244Z { 2022-11-23T01:37:54.5472387Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5472565Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5472687Z 'obj_weakref': None 2022-11-23T01:37:54.5472908Z 'guarded_class': 2022-11-23T01:37:54.5472974Z } 2022-11-23T01:37:54.5473037Z 2022-11-23T01:37:54.5473107Z - 2022-11-23T01:37:54.5473233Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5473283Z { 2022-11-23T01:37:54.5473426Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5473534Z 'code': None, 2022-11-23T01:37:54.5473750Z 'obj_weakref': 2022-11-23T01:37:54.5474009Z 'guarded_class': 2022-11-23T01:37:54.5474075Z } 2022-11-23T01:37:54.5474138Z 2022-11-23T01:37:54.5474196Z - 2022-11-23T01:37:54.5474317Z local 'model' NN_MODULE 2022-11-23T01:37:54.5474408Z { 2022-11-23T01:37:54.5474547Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5474719Z 'code': ['___check_obj_id(model, 140538741776336)'], 2022-11-23T01:37:54.5474941Z 'obj_weakref': 2022-11-23T01:37:54.5475181Z 'guarded_class': 2022-11-23T01:37:54.5475249Z } 2022-11-23T01:37:54.5475300Z 2022-11-23T01:37:54.5475371Z - 2022-11-23T01:37:54.5475497Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5475591Z { 2022-11-23T01:37:54.5475733Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5475954Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5476078Z 'obj_weakref': None 2022-11-23T01:37:54.5476289Z 'guarded_class': 2022-11-23T01:37:54.5476354Z } 2022-11-23T01:37:54.5476421Z 2022-11-23T01:37:54.5476494Z - 2022-11-23T01:37:54.5476644Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.5476710Z { 2022-11-23T01:37:54.5476819Z 'guard_types': None, 2022-11-23T01:37:54.5476931Z 'code': None, 2022-11-23T01:37:54.5477051Z 'obj_weakref': None 2022-11-23T01:37:54.5477175Z 'guarded_class': None 2022-11-23T01:37:54.5477240Z } 2022-11-23T01:37:54.5477307Z 2022-11-23T01:37:54.5477379Z - 2022-11-23T01:37:54.5477513Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.5477577Z { 2022-11-23T01:37:54.5477700Z 'guard_types': None, 2022-11-23T01:37:54.5477809Z 'code': None, 2022-11-23T01:37:54.5477931Z 'obj_weakref': None 2022-11-23T01:37:54.5478058Z 'guarded_class': None 2022-11-23T01:37:54.5478123Z } 2022-11-23T01:37:54.5478172Z 2022-11-23T01:37:54.5478439Z [2022-11-23 01:30:44,135] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 65 2022-11-23T01:37:54.5478814Z [2022-11-23 01:30:44,140] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rb/crbgo6zg3hxep6ucflulhnkxcskunsqhdf2vi3axeohkbnjducvt.py 2022-11-23T01:37:54.5479079Z [2022-11-23 01:30:44,140] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 65 2022-11-23T01:37:54.5479320Z [2022-11-23 01:30:44,143] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5479597Z [2022-11-23 01:30:44,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5479818Z [2022-11-23 01:30:44,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5480067Z [2022-11-23 01:30:44,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.5480349Z [2022-11-23 01:30:44,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.5480655Z [2022-11-23 01:30:44,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5480904Z [2022-11-23 01:30:44,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.5481141Z [2022-11-23 01:30:44,157] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5481400Z [2022-11-23 01:30:44,157] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5481652Z [2022-11-23 01:30:44,172] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5481873Z [2022-11-23 01:30:44,173] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5482012Z __compiled_fn_67 .471 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5482102Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5482187Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.5482285Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.5482290Z 2022-11-23T01:37:54.5482572Z [2022-11-23 01:30:44,173] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5482667Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5482792Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5482883Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5482975Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5483052Z 8 RETURN_VALUE 2022-11-23T01:37:54.5483057Z 2022-11-23T01:37:54.5483106Z 2022-11-23T01:37:54.5483381Z [2022-11-23 01:30:44,173] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5483489Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_67) 2022-11-23T01:37:54.5483581Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5483670Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5483747Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5483838Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5483929Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.5483992Z 12 RETURN_VALUE 2022-11-23T01:37:54.5483999Z 2022-11-23T01:37:54.5484057Z 2022-11-23T01:37:54.5484243Z [2022-11-23 01:30:44,174] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5484314Z - 2022-11-23T01:37:54.5484434Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5484497Z { 2022-11-23T01:37:54.5484639Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5484818Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5484939Z 'obj_weakref': None 2022-11-23T01:37:54.5485164Z 'guarded_class': 2022-11-23T01:37:54.5485229Z } 2022-11-23T01:37:54.5485290Z 2022-11-23T01:37:54.5485360Z - 2022-11-23T01:37:54.5485488Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5485539Z { 2022-11-23T01:37:54.5485681Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5485790Z 'code': None, 2022-11-23T01:37:54.5486008Z 'obj_weakref': 2022-11-23T01:37:54.5486264Z 'guarded_class': 2022-11-23T01:37:54.5486327Z } 2022-11-23T01:37:54.5486389Z 2022-11-23T01:37:54.5486446Z - 2022-11-23T01:37:54.5486569Z local 'model' NN_MODULE 2022-11-23T01:37:54.5486632Z { 2022-11-23T01:37:54.5486768Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5486939Z 'code': ['___check_obj_id(model, 140538745313744)'], 2022-11-23T01:37:54.5487162Z 'obj_weakref': 2022-11-23T01:37:54.5487397Z 'guarded_class': 2022-11-23T01:37:54.5487449Z } 2022-11-23T01:37:54.5487511Z 2022-11-23T01:37:54.5487585Z - 2022-11-23T01:37:54.5487708Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5487770Z { 2022-11-23T01:37:54.5487908Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5488132Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5488240Z 'obj_weakref': None 2022-11-23T01:37:54.5488500Z 'guarded_class': 2022-11-23T01:37:54.5488568Z } 2022-11-23T01:37:54.5488630Z 2022-11-23T01:37:54.5488703Z - 2022-11-23T01:37:54.5488851Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.5488913Z { 2022-11-23T01:37:54.5489022Z 'guard_types': None, 2022-11-23T01:37:54.5489131Z 'code': None, 2022-11-23T01:37:54.5489251Z 'obj_weakref': None 2022-11-23T01:37:54.5489373Z 'guarded_class': None 2022-11-23T01:37:54.5489468Z } 2022-11-23T01:37:54.5489529Z 2022-11-23T01:37:54.5489600Z - 2022-11-23T01:37:54.5489733Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.5489795Z { 2022-11-23T01:37:54.5489915Z 'guard_types': None, 2022-11-23T01:37:54.5490023Z 'code': None, 2022-11-23T01:37:54.5490144Z 'obj_weakref': None 2022-11-23T01:37:54.5490265Z 'guarded_class': None 2022-11-23T01:37:54.5490315Z } 2022-11-23T01:37:54.5490376Z 2022-11-23T01:37:54.5490633Z [2022-11-23 01:30:44,183] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 66 2022-11-23T01:37:54.5490994Z [2022-11-23 01:30:44,188] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5b/c5bkvzfu766vcb2szu6f362egmjy4ou2m7jmfo3t3cl63jpoblyo.py 2022-11-23T01:37:54.5491259Z [2022-11-23 01:30:44,188] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 66 2022-11-23T01:37:54.5491501Z [2022-11-23 01:30:44,228] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5491774Z [2022-11-23 01:30:44,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5491997Z [2022-11-23 01:30:44,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5492242Z [2022-11-23 01:30:44,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.5492509Z [2022-11-23 01:30:44,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.5492827Z [2022-11-23 01:30:44,228] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5493073Z [2022-11-23 01:30:44,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.5493314Z [2022-11-23 01:30:44,242] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5493571Z [2022-11-23 01:30:44,243] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5493825Z [2022-11-23 01:30:44,258] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5494017Z [2022-11-23 01:30:44,259] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5494155Z __compiled_fn_68 .482 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5494243Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5494329Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.5494427Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.5494433Z 2022-11-23T01:37:54.5494714Z [2022-11-23 01:30:44,259] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5494808Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5494900Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5494991Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5495084Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5495159Z 8 RETURN_VALUE 2022-11-23T01:37:54.5495165Z 2022-11-23T01:37:54.5495242Z 2022-11-23T01:37:54.5495522Z [2022-11-23 01:30:44,259] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5495629Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_68) 2022-11-23T01:37:54.5495717Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5495805Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5495880Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5495968Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5496046Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.5496153Z 12 RETURN_VALUE 2022-11-23T01:37:54.5496158Z 2022-11-23T01:37:54.5496216Z 2022-11-23T01:37:54.5496399Z [2022-11-23 01:30:44,260] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5496471Z - 2022-11-23T01:37:54.5496591Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5496653Z { 2022-11-23T01:37:54.5496785Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5496973Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5497096Z 'obj_weakref': None 2022-11-23T01:37:54.5497320Z 'guarded_class': 2022-11-23T01:37:54.5497384Z } 2022-11-23T01:37:54.5497444Z 2022-11-23T01:37:54.5497514Z - 2022-11-23T01:37:54.5497629Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5497691Z { 2022-11-23T01:37:54.5497834Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5497947Z 'code': None, 2022-11-23T01:37:54.5498163Z 'obj_weakref': 2022-11-23T01:37:54.5498419Z 'guarded_class': 2022-11-23T01:37:54.5498481Z } 2022-11-23T01:37:54.5498535Z 2022-11-23T01:37:54.5498604Z - 2022-11-23T01:37:54.5498726Z local 'model' NN_MODULE 2022-11-23T01:37:54.5498941Z { 2022-11-23T01:37:54.5499124Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5499298Z 'code': ['___check_obj_id(model, 140538745786640)'], 2022-11-23T01:37:54.5499523Z 'obj_weakref': 2022-11-23T01:37:54.5499761Z 'guarded_class': 2022-11-23T01:37:54.5499816Z } 2022-11-23T01:37:54.5499879Z 2022-11-23T01:37:54.5499951Z - 2022-11-23T01:37:54.5500075Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5500139Z { 2022-11-23T01:37:54.5500278Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5500485Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5500609Z 'obj_weakref': None 2022-11-23T01:37:54.5500833Z 'guarded_class': 2022-11-23T01:37:54.5500896Z } 2022-11-23T01:37:54.5500958Z 2022-11-23T01:37:54.5501030Z - 2022-11-23T01:37:54.5501179Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.5501230Z { 2022-11-23T01:37:54.5501351Z 'guard_types': None, 2022-11-23T01:37:54.5501458Z 'code': None, 2022-11-23T01:37:54.5501578Z 'obj_weakref': None 2022-11-23T01:37:54.5501704Z 'guarded_class': None 2022-11-23T01:37:54.5501765Z } 2022-11-23T01:37:54.5501825Z 2022-11-23T01:37:54.5501883Z - 2022-11-23T01:37:54.5502029Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.5502092Z { 2022-11-23T01:37:54.5502213Z 'guard_types': None, 2022-11-23T01:37:54.5502379Z 'code': None, 2022-11-23T01:37:54.5502504Z 'obj_weakref': None 2022-11-23T01:37:54.5502629Z 'guarded_class': None 2022-11-23T01:37:54.5502679Z } 2022-11-23T01:37:54.5502739Z 2022-11-23T01:37:54.5503001Z [2022-11-23 01:30:44,269] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 67 2022-11-23T01:37:54.5503376Z [2022-11-23 01:30:44,275] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/il/cilond3i4c23ecbqnj5uhp2h2rvopswcllvrvwhmv5nxksf65kvx.py 2022-11-23T01:37:54.5503646Z [2022-11-23 01:30:44,275] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 67 2022-11-23T01:37:54.5503932Z [2022-11-23 01:30:44,278] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5504205Z [2022-11-23 01:30:44,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5504428Z [2022-11-23 01:30:44,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5504661Z [2022-11-23 01:30:44,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.5504941Z [2022-11-23 01:30:44,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.5505258Z [2022-11-23 01:30:44,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5505508Z [2022-11-23 01:30:44,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.5505747Z [2022-11-23 01:30:44,292] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5506002Z [2022-11-23 01:30:44,293] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5506258Z [2022-11-23 01:30:44,308] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5506449Z [2022-11-23 01:30:44,308] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5506582Z __compiled_fn_69 .493 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5506658Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5506755Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.5506852Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.5506858Z 2022-11-23T01:37:54.5507136Z [2022-11-23 01:30:44,308] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5507232Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5507321Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5507411Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5507501Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5507567Z 8 RETURN_VALUE 2022-11-23T01:37:54.5507572Z 2022-11-23T01:37:54.5507631Z 2022-11-23T01:37:54.5507906Z [2022-11-23 01:30:44,308] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5508015Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_69) 2022-11-23T01:37:54.5508181Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5508292Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5508373Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5508463Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5508543Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.5508618Z 12 RETURN_VALUE 2022-11-23T01:37:54.5508624Z 2022-11-23T01:37:54.5508683Z 2022-11-23T01:37:54.5508871Z [2022-11-23 01:30:44,309] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5508943Z - 2022-11-23T01:37:54.5509064Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5509161Z { 2022-11-23T01:37:54.5509297Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5509487Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5509610Z 'obj_weakref': None 2022-11-23T01:37:54.5509835Z 'guarded_class': 2022-11-23T01:37:54.5509898Z } 2022-11-23T01:37:54.5509960Z 2022-11-23T01:37:54.5510029Z - 2022-11-23T01:37:54.5510143Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5510239Z { 2022-11-23T01:37:54.5510387Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5510499Z 'code': None, 2022-11-23T01:37:54.5510715Z 'obj_weakref': 2022-11-23T01:37:54.5510974Z 'guarded_class': 2022-11-23T01:37:54.5511037Z } 2022-11-23T01:37:54.5511087Z 2022-11-23T01:37:54.5511157Z - 2022-11-23T01:37:54.5511277Z local 'model' NN_MODULE 2022-11-23T01:37:54.5511338Z { 2022-11-23T01:37:54.5511474Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5511646Z 'code': ['___check_obj_id(model, 140538745789136)'], 2022-11-23T01:37:54.5511866Z 'obj_weakref': 2022-11-23T01:37:54.5512091Z 'guarded_class': 2022-11-23T01:37:54.5512158Z } 2022-11-23T01:37:54.5512221Z 2022-11-23T01:37:54.5512292Z - 2022-11-23T01:37:54.5512414Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5512477Z { 2022-11-23T01:37:54.5512614Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5512824Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5512944Z 'obj_weakref': None 2022-11-23T01:37:54.5513165Z 'guarded_class': 2022-11-23T01:37:54.5513228Z } 2022-11-23T01:37:54.5513291Z 2022-11-23T01:37:54.5513361Z - 2022-11-23T01:37:54.5513507Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.5513556Z { 2022-11-23T01:37:54.5513676Z 'guard_types': None, 2022-11-23T01:37:54.5513785Z 'code': None, 2022-11-23T01:37:54.5513908Z 'obj_weakref': None 2022-11-23T01:37:54.5514032Z 'guarded_class': None 2022-11-23T01:37:54.5514093Z } 2022-11-23T01:37:54.5514153Z 2022-11-23T01:37:54.5514210Z - 2022-11-23T01:37:54.5514356Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.5514418Z { 2022-11-23T01:37:54.5514541Z 'guard_types': None, 2022-11-23T01:37:54.5514650Z 'code': None, 2022-11-23T01:37:54.5514769Z 'obj_weakref': None 2022-11-23T01:37:54.5514878Z 'guarded_class': None 2022-11-23T01:37:54.5514943Z } 2022-11-23T01:37:54.5515004Z 2022-11-23T01:37:54.5515263Z [2022-11-23 01:30:44,318] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 68 2022-11-23T01:37:54.5515631Z [2022-11-23 01:30:44,324] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jk/cjkqk26t3q4kjfdd3rtbmmgj5ioxyn3zlnwn2iywex62ojktidei.py 2022-11-23T01:37:54.5515901Z [2022-11-23 01:30:44,324] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 68 2022-11-23T01:37:54.5516146Z [2022-11-23 01:30:44,327] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5516447Z [2022-11-23 01:30:44,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5516672Z [2022-11-23 01:30:44,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5516906Z [2022-11-23 01:30:44,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.5517185Z [2022-11-23 01:30:44,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.5517503Z [2022-11-23 01:30:44,327] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5517805Z [2022-11-23 01:30:44,340] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.5518046Z [2022-11-23 01:30:44,340] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5518305Z [2022-11-23 01:30:44,341] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5518560Z [2022-11-23 01:30:44,356] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5518751Z [2022-11-23 01:30:44,357] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5518889Z __compiled_fn_70 .504 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5518967Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5519067Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.5519167Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.5519173Z 2022-11-23T01:37:54.5519454Z [2022-11-23 01:30:44,357] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5519549Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5519640Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5519733Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5519825Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5519892Z 8 RETURN_VALUE 2022-11-23T01:37:54.5519897Z 2022-11-23T01:37:54.5519960Z 2022-11-23T01:37:54.5520239Z [2022-11-23 01:30:44,357] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5520347Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_70) 2022-11-23T01:37:54.5520438Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5520528Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5520608Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5520686Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5520776Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.5520852Z 12 RETURN_VALUE 2022-11-23T01:37:54.5520857Z 2022-11-23T01:37:54.5520917Z 2022-11-23T01:37:54.5521104Z [2022-11-23 01:30:44,358] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5521177Z - 2022-11-23T01:37:54.5521303Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5521356Z { 2022-11-23T01:37:54.5521502Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5521692Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5521815Z 'obj_weakref': None 2022-11-23T01:37:54.5522041Z 'guarded_class': 2022-11-23T01:37:54.5522108Z } 2022-11-23T01:37:54.5522171Z 2022-11-23T01:37:54.5522231Z - 2022-11-23T01:37:54.5522362Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5522428Z { 2022-11-23T01:37:54.5522575Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5522685Z 'code': None, 2022-11-23T01:37:54.5522900Z 'obj_weakref': 2022-11-23T01:37:54.5523186Z 'guarded_class': 2022-11-23T01:37:54.5523239Z } 2022-11-23T01:37:54.5523302Z 2022-11-23T01:37:54.5523372Z - 2022-11-23T01:37:54.5523498Z local 'model' NN_MODULE 2022-11-23T01:37:54.5523561Z { 2022-11-23T01:37:54.5523699Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5523871Z 'code': ['___check_obj_id(model, 140538743739728)'], 2022-11-23T01:37:54.5524081Z 'obj_weakref': 2022-11-23T01:37:54.5524355Z 'guarded_class': 2022-11-23T01:37:54.5524422Z } 2022-11-23T01:37:54.5524484Z 2022-11-23T01:37:54.5524553Z - 2022-11-23T01:37:54.5524677Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5524739Z { 2022-11-23T01:37:54.5524868Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5525087Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5525208Z 'obj_weakref': None 2022-11-23T01:37:54.5525429Z 'guarded_class': 2022-11-23T01:37:54.5525491Z } 2022-11-23T01:37:54.5525553Z 2022-11-23T01:37:54.5525622Z - 2022-11-23T01:37:54.5525758Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.5525820Z { 2022-11-23T01:37:54.5525943Z 'guard_types': None, 2022-11-23T01:37:54.5526057Z 'code': None, 2022-11-23T01:37:54.5526175Z 'obj_weakref': None 2022-11-23T01:37:54.5526295Z 'guarded_class': None 2022-11-23T01:37:54.5526356Z } 2022-11-23T01:37:54.5526405Z 2022-11-23T01:37:54.5526474Z - 2022-11-23T01:37:54.5526618Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.5526686Z { 2022-11-23T01:37:54.5526805Z 'guard_types': None, 2022-11-23T01:37:54.5526916Z 'code': None, 2022-11-23T01:37:54.5527035Z 'obj_weakref': None 2022-11-23T01:37:54.5527145Z 'guarded_class': None 2022-11-23T01:37:54.5527207Z } 2022-11-23T01:37:54.5527268Z 2022-11-23T01:37:54.5527526Z [2022-11-23 01:30:44,367] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 69 2022-11-23T01:37:54.5527532Z 2022-11-23T01:37:54.5527624Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5527694Z import torch 2022-11-23T01:37:54.5527762Z import random 2022-11-23T01:37:54.5527864Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5527984Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5527988Z 2022-11-23T01:37:54.5528065Z aten = torch.ops.aten 2022-11-23T01:37:54.5528200Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5528293Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5528298Z 2022-11-23T01:37:54.5528302Z 2022-11-23T01:37:54.5528387Z async_compile.wait(globals()) 2022-11-23T01:37:54.5528459Z del async_compile 2022-11-23T01:37:54.5528463Z 2022-11-23T01:37:54.5528533Z def call(args): 2022-11-23T01:37:54.5528639Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.5528709Z args.clear() 2022-11-23T01:37:54.5528840Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 1) 2022-11-23T01:37:54.5528943Z assert_size_stride(buf0, (1, 32, 112), (3584, 112, 1)) 2022-11-23T01:37:54.5529011Z del arg0_1 2022-11-23T01:37:54.5529076Z del arg1_1 2022-11-23T01:37:54.5529140Z del arg7_1 2022-11-23T01:37:54.5529197Z return (buf0, ) 2022-11-23T01:37:54.5529202Z 2022-11-23T01:37:54.5529217Z 2022-11-23T01:37:54.5529280Z if __name__ == "__main__": 2022-11-23T01:37:54.5529422Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5529545Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5529755Z arg0_1 = rand_strided((32, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5529956Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5530151Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5530340Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5530516Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5530774Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5530957Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.5531168Z arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5531327Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.5531333Z 2022-11-23T01:37:54.5531337Z 2022-11-23T01:37:54.5531430Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5531499Z import torch 2022-11-23T01:37:54.5531569Z import random 2022-11-23T01:37:54.5531673Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5531792Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5531797Z 2022-11-23T01:37:54.5531874Z aten = torch.ops.aten 2022-11-23T01:37:54.5532007Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5532100Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5532105Z 2022-11-23T01:37:54.5532109Z 2022-11-23T01:37:54.5532197Z async_compile.wait(globals()) 2022-11-23T01:37:54.5532271Z del async_compile 2022-11-23T01:37:54.5532276Z 2022-11-23T01:37:54.5532344Z def call(args): 2022-11-23T01:37:54.5532449Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.5532522Z args.clear() 2022-11-23T01:37:54.5532652Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 4) 2022-11-23T01:37:54.5532759Z assert_size_stride(buf0, (1, 128, 112), (14336, 112, 1)) 2022-11-23T01:37:54.5532826Z del arg0_1 2022-11-23T01:37:54.5532894Z del arg1_1 2022-11-23T01:37:54.5532956Z del arg7_1 2022-11-23T01:37:54.5533014Z return (buf0, ) 2022-11-23T01:37:54.5533030Z 2022-11-23T01:37:54.5533034Z 2022-11-23T01:37:54.5533096Z if __name__ == "__main__": 2022-11-23T01:37:54.5533208Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5533334Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5533543Z arg0_1 = rand_strided((128, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5533741Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5533938Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5534129Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5534309Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5534497Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5534679Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.5534892Z arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5535045Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.5535053Z 2022-11-23T01:37:54.5535057Z 2022-11-23T01:37:54.5535152Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5535219Z import torch 2022-11-23T01:37:54.5535287Z import random 2022-11-23T01:37:54.5535401Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5535537Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5535543Z 2022-11-23T01:37:54.5535620Z aten = torch.ops.aten 2022-11-23T01:37:54.5535751Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5535842Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5535847Z 2022-11-23T01:37:54.5535851Z 2022-11-23T01:37:54.5535938Z async_compile.wait(globals()) 2022-11-23T01:37:54.5536009Z del async_compile 2022-11-23T01:37:54.5536014Z 2022-11-23T01:37:54.5536081Z def call(args): 2022-11-23T01:37:54.5536198Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.5536287Z args.clear() 2022-11-23T01:37:54.5536417Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 1) 2022-11-23T01:37:54.5536522Z assert_size_stride(buf0, (1, 32, 112), (3584, 112, 1)) 2022-11-23T01:37:54.5536591Z del arg0_1 2022-11-23T01:37:54.5536658Z del arg1_1 2022-11-23T01:37:54.5536722Z del arg7_1 2022-11-23T01:37:54.5536794Z return (buf0, ) 2022-11-23T01:37:54.5536799Z 2022-11-23T01:37:54.5536803Z 2022-11-23T01:37:54.5536865Z if __name__ == "__main__": 2022-11-23T01:37:54.5536977Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5537100Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5537309Z arg0_1 = rand_strided((32, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5537505Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5537698Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5537890Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5538079Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5538253Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5538432Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.5538644Z arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5538983Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.5538991Z 2022-11-23T01:37:54.5538996Z 2022-11-23T01:37:54.5539151Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5539230Z import torch 2022-11-23T01:37:54.5539300Z import random 2022-11-23T01:37:54.5539415Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5539524Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5539532Z 2022-11-23T01:37:54.5539610Z aten = torch.ops.aten 2022-11-23T01:37:54.5539744Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5539835Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5539840Z 2022-11-23T01:37:54.5539844Z 2022-11-23T01:37:54.5539932Z async_compile.wait(globals()) 2022-11-23T01:37:54.5540005Z del async_compile 2022-11-23T01:37:54.5540012Z 2022-11-23T01:37:54.5540082Z def call(args): 2022-11-23T01:37:54.5540201Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.5540261Z args.clear() 2022-11-23T01:37:54.5540389Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 4) 2022-11-23T01:37:54.5540496Z assert_size_stride(buf0, (1, 128, 112), (14336, 112, 1)) 2022-11-23T01:37:54.5540566Z del arg0_1 2022-11-23T01:37:54.5540632Z del arg1_1 2022-11-23T01:37:54.5540698Z del arg7_1 2022-11-23T01:37:54.5540768Z return (buf0, ) 2022-11-23T01:37:54.5540775Z 2022-11-23T01:37:54.5540778Z 2022-11-23T01:37:54.5540841Z if __name__ == "__main__": 2022-11-23T01:37:54.5540954Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5541076Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5541289Z arg0_1 = rand_strided((128, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5541550Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5541752Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5541944Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5542138Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5542315Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5542498Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.5542754Z arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5542910Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.5542915Z 2022-11-23T01:37:54.5542919Z 2022-11-23T01:37:54.5543013Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5543082Z import torch 2022-11-23T01:37:54.5543154Z import random 2022-11-23T01:37:54.5543269Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5543377Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5543396Z 2022-11-23T01:37:54.5543460Z aten = torch.ops.aten 2022-11-23T01:37:54.5543591Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5543681Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5543686Z 2022-11-23T01:37:54.5543690Z 2022-11-23T01:37:54.5543778Z async_compile.wait(globals()) 2022-11-23T01:37:54.5543847Z del async_compile 2022-11-23T01:37:54.5543855Z 2022-11-23T01:37:54.5543923Z def call(args): 2022-11-23T01:37:54.5544040Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.5544096Z args.clear() 2022-11-23T01:37:54.5544223Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 1) 2022-11-23T01:37:54.5544327Z assert_size_stride(buf0, (1, 32, 110), (3520, 110, 1)) 2022-11-23T01:37:54.5544397Z del arg0_1 2022-11-23T01:37:54.5544462Z del arg1_1 2022-11-23T01:37:54.5544527Z del arg7_1 2022-11-23T01:37:54.5544596Z return (buf0, ) 2022-11-23T01:37:54.5544601Z 2022-11-23T01:37:54.5544605Z 2022-11-23T01:37:54.5544681Z if __name__ == "__main__": 2022-11-23T01:37:54.5544782Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5544904Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5545111Z arg0_1 = rand_strided((32, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5545303Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5545498Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5545687Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5545876Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5546066Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5546234Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.5546443Z arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5546597Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.5546602Z 2022-11-23T01:37:54.5546606Z 2022-11-23T01:37:54.5546698Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5546766Z import torch 2022-11-23T01:37:54.5546835Z import random 2022-11-23T01:37:54.5546953Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5547072Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5547077Z 2022-11-23T01:37:54.5547143Z aten = torch.ops.aten 2022-11-23T01:37:54.5547275Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5547363Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5547400Z 2022-11-23T01:37:54.5547405Z 2022-11-23T01:37:54.5547495Z async_compile.wait(globals()) 2022-11-23T01:37:54.5547566Z del async_compile 2022-11-23T01:37:54.5547571Z 2022-11-23T01:37:54.5547641Z def call(args): 2022-11-23T01:37:54.5547756Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.5547826Z args.clear() 2022-11-23T01:37:54.5547944Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 4) 2022-11-23T01:37:54.5548050Z assert_size_stride(buf0, (1, 128, 110), (14080, 110, 1)) 2022-11-23T01:37:54.5548225Z del arg0_1 2022-11-23T01:37:54.5548296Z del arg1_1 2022-11-23T01:37:54.5548362Z del arg7_1 2022-11-23T01:37:54.5548436Z return (buf0, ) 2022-11-23T01:37:54.5548441Z 2022-11-23T01:37:54.5548445Z 2022-11-23T01:37:54.5548519Z if __name__ == "__main__": 2022-11-23T01:37:54.5548622Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5548747Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5548961Z arg0_1 = rand_strided((128, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5549159Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5549362Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5549556Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5549747Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5549939Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5550110Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.5550322Z arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5550477Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.5550859Z [2022-11-23 01:30:44,372] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hv/chvacu23sujoub7knlimjkkablr24auqimctyvztouh2gaprik4g.py 2022-11-23T01:37:54.5551130Z [2022-11-23 01:30:44,372] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 69 2022-11-23T01:37:54.5551376Z [2022-11-23 01:30:44,375] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5551647Z [2022-11-23 01:30:44,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5551873Z [2022-11-23 01:30:44,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5552119Z [2022-11-23 01:30:44,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.5552385Z [2022-11-23 01:30:44,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.5552704Z [2022-11-23 01:30:44,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5552954Z [2022-11-23 01:30:44,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.5553191Z [2022-11-23 01:30:44,389] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5553446Z [2022-11-23 01:30:44,390] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5553698Z [2022-11-23 01:30:44,406] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5553894Z [2022-11-23 01:30:44,406] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5554030Z __compiled_fn_71 .515 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5554118Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5554245Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.5554346Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.5554351Z 2022-11-23T01:37:54.5554631Z [2022-11-23 01:30:44,407] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5554725Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5554820Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5554915Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5555006Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5555118Z 8 RETURN_VALUE 2022-11-23T01:37:54.5555123Z 2022-11-23T01:37:54.5555172Z 2022-11-23T01:37:54.5555447Z [2022-11-23 01:30:44,407] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5555557Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_71) 2022-11-23T01:37:54.5555653Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5555744Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5555822Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5555911Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5555989Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.5556065Z 12 RETURN_VALUE 2022-11-23T01:37:54.5556070Z 2022-11-23T01:37:54.5556131Z 2022-11-23T01:37:54.5556319Z [2022-11-23 01:30:44,407] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5556392Z - 2022-11-23T01:37:54.5556515Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5556583Z { 2022-11-23T01:37:54.5556714Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5556906Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5557030Z 'obj_weakref': None 2022-11-23T01:37:54.5557262Z 'guarded_class': 2022-11-23T01:37:54.5557329Z } 2022-11-23T01:37:54.5557394Z 2022-11-23T01:37:54.5557470Z - 2022-11-23T01:37:54.5557583Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5557648Z { 2022-11-23T01:37:54.5557796Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5557908Z 'code': None, 2022-11-23T01:37:54.5558126Z 'obj_weakref': 2022-11-23T01:37:54.5558383Z 'guarded_class': 2022-11-23T01:37:54.5558451Z } 2022-11-23T01:37:54.5558502Z 2022-11-23T01:37:54.5558573Z - 2022-11-23T01:37:54.5558696Z local 'model' NN_MODULE 2022-11-23T01:37:54.5558761Z { 2022-11-23T01:37:54.5558900Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5559077Z 'code': ['___check_obj_id(model, 140538739170704)'], 2022-11-23T01:37:54.5559305Z 'obj_weakref': 2022-11-23T01:37:54.5559548Z 'guarded_class': 2022-11-23T01:37:54.5559599Z } 2022-11-23T01:37:54.5559663Z 2022-11-23T01:37:54.5559736Z - 2022-11-23T01:37:54.5559862Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5559927Z { 2022-11-23T01:37:54.5560068Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5560277Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5560405Z 'obj_weakref': None 2022-11-23T01:37:54.5560630Z 'guarded_class': 2022-11-23T01:37:54.5560696Z } 2022-11-23T01:37:54.5560760Z 2022-11-23T01:37:54.5560832Z - 2022-11-23T01:37:54.5561014Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.5561067Z { 2022-11-23T01:37:54.5561190Z 'guard_types': None, 2022-11-23T01:37:54.5561300Z 'code': None, 2022-11-23T01:37:54.5561422Z 'obj_weakref': None 2022-11-23T01:37:54.5561546Z 'guarded_class': None 2022-11-23T01:37:54.5561608Z } 2022-11-23T01:37:54.5561668Z 2022-11-23T01:37:54.5561725Z - 2022-11-23T01:37:54.5561871Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.5561932Z { 2022-11-23T01:37:54.5562106Z 'guard_types': None, 2022-11-23T01:37:54.5562214Z 'code': None, 2022-11-23T01:37:54.5562333Z 'obj_weakref': None 2022-11-23T01:37:54.5562457Z 'guarded_class': None 2022-11-23T01:37:54.5562506Z } 2022-11-23T01:37:54.5562565Z 2022-11-23T01:37:54.5562827Z [2022-11-23 01:30:44,418] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 70 2022-11-23T01:37:54.5563195Z [2022-11-23 01:30:44,423] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jc/cjcycmpbaay4knv4m4j2m23rs7nm7x6au56hvyzsuyku5hrxfcoz.py 2022-11-23T01:37:54.5563460Z [2022-11-23 01:30:44,423] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 70 2022-11-23T01:37:54.5563699Z [2022-11-23 01:30:44,426] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5563969Z [2022-11-23 01:30:44,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5564197Z [2022-11-23 01:30:44,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5564431Z [2022-11-23 01:30:44,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.5564713Z [2022-11-23 01:30:44,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.5565029Z [2022-11-23 01:30:44,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5565279Z [2022-11-23 01:30:44,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.5565517Z [2022-11-23 01:30:44,439] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5565774Z [2022-11-23 01:30:44,440] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5566028Z [2022-11-23 01:30:44,456] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5566221Z [2022-11-23 01:30:44,456] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5566357Z __compiled_fn_72 .526 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5566436Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5566534Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.5566631Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.5566638Z 2022-11-23T01:37:54.5566918Z [2022-11-23 01:30:44,456] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5567012Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5567101Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5567191Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5567282Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5567345Z 8 RETURN_VALUE 2022-11-23T01:37:54.5567350Z 2022-11-23T01:37:54.5567410Z 2022-11-23T01:37:54.5567687Z [2022-11-23 01:30:44,456] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5567823Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_72) 2022-11-23T01:37:54.5567915Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5568002Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5568079Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5568165Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5568243Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.5568318Z 12 RETURN_VALUE 2022-11-23T01:37:54.5568323Z 2022-11-23T01:37:54.5568383Z 2022-11-23T01:37:54.5568569Z [2022-11-23 01:30:44,457] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5568675Z - 2022-11-23T01:37:54.5568797Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5568860Z { 2022-11-23T01:37:54.5568993Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5569180Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5569303Z 'obj_weakref': None 2022-11-23T01:37:54.5569534Z 'guarded_class': 2022-11-23T01:37:54.5569600Z } 2022-11-23T01:37:54.5569661Z 2022-11-23T01:37:54.5569730Z - 2022-11-23T01:37:54.5569844Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5569908Z { 2022-11-23T01:37:54.5570052Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5570161Z 'code': None, 2022-11-23T01:37:54.5570376Z 'obj_weakref': 2022-11-23T01:37:54.5570633Z 'guarded_class': 2022-11-23T01:37:54.5570699Z } 2022-11-23T01:37:54.5570750Z 2022-11-23T01:37:54.5570819Z - 2022-11-23T01:37:54.5570941Z local 'model' NN_MODULE 2022-11-23T01:37:54.5571004Z { 2022-11-23T01:37:54.5571139Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5571313Z 'code': ['___check_obj_id(model, 140538743894096)'], 2022-11-23T01:37:54.5571536Z 'obj_weakref': 2022-11-23T01:37:54.5571761Z 'guarded_class': 2022-11-23T01:37:54.5571826Z } 2022-11-23T01:37:54.5571888Z 2022-11-23T01:37:54.5571961Z - 2022-11-23T01:37:54.5572085Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5572148Z { 2022-11-23T01:37:54.5572287Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5572499Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5572617Z 'obj_weakref': None 2022-11-23T01:37:54.5572839Z 'guarded_class': 2022-11-23T01:37:54.5572901Z } 2022-11-23T01:37:54.5572966Z 2022-11-23T01:37:54.5573036Z - 2022-11-23T01:37:54.5573184Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.5573233Z { 2022-11-23T01:37:54.5573354Z 'guard_types': None, 2022-11-23T01:37:54.5573462Z 'code': None, 2022-11-23T01:37:54.5573582Z 'obj_weakref': None 2022-11-23T01:37:54.5573703Z 'guarded_class': None 2022-11-23T01:37:54.5573766Z } 2022-11-23T01:37:54.5573827Z 2022-11-23T01:37:54.5573885Z - 2022-11-23T01:37:54.5574030Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.5574095Z { 2022-11-23T01:37:54.5574218Z 'guard_types': None, 2022-11-23T01:37:54.5574327Z 'code': None, 2022-11-23T01:37:54.5574448Z 'obj_weakref': None 2022-11-23T01:37:54.5574558Z 'guarded_class': None 2022-11-23T01:37:54.5574619Z } 2022-11-23T01:37:54.5574681Z 2022-11-23T01:37:54.5574972Z [2022-11-23 01:30:44,466] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 71 2022-11-23T01:37:54.5575348Z [2022-11-23 01:30:44,471] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/al/calrwpzvq6bxx6miwie35wa7n3h3aoan2uifrzrgaog7dufzizw2.py 2022-11-23T01:37:54.5575615Z [2022-11-23 01:30:44,471] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 71 2022-11-23T01:37:54.5575856Z [2022-11-23 01:30:44,475] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5576160Z [2022-11-23 01:30:44,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5576380Z [2022-11-23 01:30:44,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5576614Z [2022-11-23 01:30:44,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.5576894Z [2022-11-23 01:30:44,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.5577212Z [2022-11-23 01:30:44,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5577460Z [2022-11-23 01:30:44,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.5577697Z [2022-11-23 01:30:44,487] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5577954Z [2022-11-23 01:30:44,488] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5578209Z [2022-11-23 01:30:44,502] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5578400Z [2022-11-23 01:30:44,503] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5578536Z __compiled_fn_73 .537 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5578613Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5578710Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.5578999Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.5579009Z 2022-11-23T01:37:54.5579322Z [2022-11-23 01:30:44,503] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5579417Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5579508Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5579606Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5579683Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5579759Z 8 RETURN_VALUE 2022-11-23T01:37:54.5579764Z 2022-11-23T01:37:54.5579824Z 2022-11-23T01:37:54.5580102Z [2022-11-23 01:30:44,503] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5580211Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_73) 2022-11-23T01:37:54.5580304Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5580395Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5580472Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5580547Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5580636Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.5580711Z 12 RETURN_VALUE 2022-11-23T01:37:54.5580716Z 2022-11-23T01:37:54.5580775Z 2022-11-23T01:37:54.5580959Z [2022-11-23 01:30:44,504] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5581034Z - 2022-11-23T01:37:54.5581155Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5581208Z { 2022-11-23T01:37:54.5581350Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5581539Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5581717Z 'obj_weakref': None 2022-11-23T01:37:54.5581948Z 'guarded_class': 2022-11-23T01:37:54.5582014Z } 2022-11-23T01:37:54.5582076Z 2022-11-23T01:37:54.5582133Z - 2022-11-23T01:37:54.5582263Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5582327Z { 2022-11-23T01:37:54.5582473Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5582582Z 'code': None, 2022-11-23T01:37:54.5582801Z 'obj_weakref': 2022-11-23T01:37:54.5583111Z 'guarded_class': 2022-11-23T01:37:54.5583162Z } 2022-11-23T01:37:54.5583222Z 2022-11-23T01:37:54.5583292Z - 2022-11-23T01:37:54.5583415Z local 'model' NN_MODULE 2022-11-23T01:37:54.5583478Z { 2022-11-23T01:37:54.5583616Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5583788Z 'code': ['___check_obj_id(model, 140538743942288)'], 2022-11-23T01:37:54.5583998Z 'obj_weakref': 2022-11-23T01:37:54.5584236Z 'guarded_class': 2022-11-23T01:37:54.5584298Z } 2022-11-23T01:37:54.5584360Z 2022-11-23T01:37:54.5584430Z - 2022-11-23T01:37:54.5584555Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5584621Z { 2022-11-23T01:37:54.5584748Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5584968Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5585093Z 'obj_weakref': None 2022-11-23T01:37:54.5585320Z 'guarded_class': 2022-11-23T01:37:54.5585383Z } 2022-11-23T01:37:54.5585444Z 2022-11-23T01:37:54.5585515Z - 2022-11-23T01:37:54.5585650Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.5585712Z { 2022-11-23T01:37:54.5585833Z 'guard_types': None, 2022-11-23T01:37:54.5585941Z 'code': None, 2022-11-23T01:37:54.5586059Z 'obj_weakref': None 2022-11-23T01:37:54.5586180Z 'guarded_class': None 2022-11-23T01:37:54.5586242Z } 2022-11-23T01:37:54.5586291Z 2022-11-23T01:37:54.5586363Z - 2022-11-23T01:37:54.5586509Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.5586573Z { 2022-11-23T01:37:54.5586693Z 'guard_types': None, 2022-11-23T01:37:54.5586801Z 'code': None, 2022-11-23T01:37:54.5586920Z 'obj_weakref': None 2022-11-23T01:37:54.5587029Z 'guarded_class': None 2022-11-23T01:37:54.5587093Z } 2022-11-23T01:37:54.5587156Z 2022-11-23T01:37:54.5587415Z [2022-11-23 01:30:44,513] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 72 2022-11-23T01:37:54.5587789Z [2022-11-23 01:30:44,517] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/t2/ct2jtuochcqvhw6lznbzsdg7zqps7ewyrsuaidc6orxynyzhcfyc.py 2022-11-23T01:37:54.5588053Z [2022-11-23 01:30:44,517] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 72 2022-11-23T01:37:54.5588384Z [2022-11-23 01:30:44,520] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5588657Z [2022-11-23 01:30:44,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5588862Z [2022-11-23 01:30:44,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5589142Z [2022-11-23 01:30:44,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.5589425Z [2022-11-23 01:30:44,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.5589748Z [2022-11-23 01:30:44,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5589998Z [2022-11-23 01:30:44,533] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.5590237Z [2022-11-23 01:30:44,533] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5590532Z [2022-11-23 01:30:44,533] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5590784Z [2022-11-23 01:30:44,548] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5590978Z [2022-11-23 01:30:44,548] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5591102Z __compiled_fn_74 .548 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5591191Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5591289Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.5591386Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.5591391Z 2022-11-23T01:37:54.5591667Z [2022-11-23 01:30:44,548] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5591759Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5591851Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5591943Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5592021Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5592096Z 8 RETURN_VALUE 2022-11-23T01:37:54.5592101Z 2022-11-23T01:37:54.5592160Z 2022-11-23T01:37:54.5592436Z [2022-11-23 01:30:44,548] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5592543Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_74) 2022-11-23T01:37:54.5592631Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5592720Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5592783Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5592869Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5592961Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.5593035Z 12 RETURN_VALUE 2022-11-23T01:37:54.5593040Z 2022-11-23T01:37:54.5593101Z 2022-11-23T01:37:54.5593283Z [2022-11-23 01:30:44,549] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5593353Z - 2022-11-23T01:37:54.5593474Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5593526Z { 2022-11-23T01:37:54.5593667Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5593857Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5593981Z 'obj_weakref': None 2022-11-23T01:37:54.5594206Z 'guarded_class': 2022-11-23T01:37:54.5594269Z } 2022-11-23T01:37:54.5594331Z 2022-11-23T01:37:54.5594388Z - 2022-11-23T01:37:54.5594513Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5594574Z { 2022-11-23T01:37:54.5594717Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5594827Z 'code': None, 2022-11-23T01:37:54.5595050Z 'obj_weakref': 2022-11-23T01:37:54.5595306Z 'guarded_class': 2022-11-23T01:37:54.5595357Z } 2022-11-23T01:37:54.5595422Z 2022-11-23T01:37:54.5595495Z - 2022-11-23T01:37:54.5595654Z local 'model' NN_MODULE 2022-11-23T01:37:54.5595721Z { 2022-11-23T01:37:54.5595863Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5596037Z 'code': ['___check_obj_id(model, 140538742346704)'], 2022-11-23T01:37:54.5596246Z 'obj_weakref': 2022-11-23T01:37:54.5596485Z 'guarded_class': 2022-11-23T01:37:54.5596551Z } 2022-11-23T01:37:54.5596614Z 2022-11-23T01:37:54.5596685Z - 2022-11-23T01:37:54.5596847Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5596912Z { 2022-11-23T01:37:54.5597040Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5597262Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5597385Z 'obj_weakref': None 2022-11-23T01:37:54.5597610Z 'guarded_class': 2022-11-23T01:37:54.5597675Z } 2022-11-23T01:37:54.5597739Z 2022-11-23T01:37:54.5597813Z - 2022-11-23T01:37:54.5597948Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.5598014Z { 2022-11-23T01:37:54.5598137Z 'guard_types': None, 2022-11-23T01:37:54.5598250Z 'code': None, 2022-11-23T01:37:54.5598371Z 'obj_weakref': None 2022-11-23T01:37:54.5598496Z 'guarded_class': None 2022-11-23T01:37:54.5598561Z } 2022-11-23T01:37:54.5598614Z 2022-11-23T01:37:54.5598685Z - 2022-11-23T01:37:54.5598834Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.5598899Z { 2022-11-23T01:37:54.5599022Z 'guard_types': None, 2022-11-23T01:37:54.5599133Z 'code': None, 2022-11-23T01:37:54.5599240Z 'obj_weakref': None 2022-11-23T01:37:54.5599366Z 'guarded_class': None 2022-11-23T01:37:54.5599432Z } 2022-11-23T01:37:54.5599496Z 2022-11-23T01:37:54.5599756Z [2022-11-23 01:30:44,558] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 73 2022-11-23T01:37:54.5600132Z [2022-11-23 01:30:44,562] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rb/crbgo6zg3hxep6ucflulhnkxcskunsqhdf2vi3axeohkbnjducvt.py 2022-11-23T01:37:54.5600398Z [2022-11-23 01:30:44,563] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 73 2022-11-23T01:37:54.5600644Z [2022-11-23 01:30:44,566] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5600902Z [2022-11-23 01:30:44,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5601124Z [2022-11-23 01:30:44,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5601372Z [2022-11-23 01:30:44,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.5601656Z [2022-11-23 01:30:44,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.5601977Z [2022-11-23 01:30:44,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5602229Z [2022-11-23 01:30:44,578] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.5602471Z [2022-11-23 01:30:44,579] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5602730Z [2022-11-23 01:30:44,579] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5602980Z [2022-11-23 01:30:44,594] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5603190Z [2022-11-23 01:30:44,594] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5603331Z __compiled_fn_75 .559 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5603420Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5603516Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.5603613Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.5603619Z 2022-11-23T01:37:54.5603901Z [2022-11-23 01:30:44,594] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5603995Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5604121Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5604201Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5604291Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5604365Z 8 RETURN_VALUE 2022-11-23T01:37:54.5604371Z 2022-11-23T01:37:54.5604431Z 2022-11-23T01:37:54.5604714Z [2022-11-23 01:30:44,594] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5604820Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_75) 2022-11-23T01:37:54.5604917Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5605006Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5605069Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5605155Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5605246Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.5605319Z 12 RETURN_VALUE 2022-11-23T01:37:54.5605327Z 2022-11-23T01:37:54.5605386Z 2022-11-23T01:37:54.5605570Z [2022-11-23 01:30:44,595] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5605642Z - 2022-11-23T01:37:54.5605749Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5605812Z { 2022-11-23T01:37:54.5605956Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5606145Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5606270Z 'obj_weakref': None 2022-11-23T01:37:54.5606495Z 'guarded_class': 2022-11-23T01:37:54.5606559Z } 2022-11-23T01:37:54.5606609Z 2022-11-23T01:37:54.5606678Z - 2022-11-23T01:37:54.5606802Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5606865Z { 2022-11-23T01:37:54.5607008Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5607120Z 'code': None, 2022-11-23T01:37:54.5607338Z 'obj_weakref': 2022-11-23T01:37:54.5607584Z 'guarded_class': 2022-11-23T01:37:54.5607647Z } 2022-11-23T01:37:54.5607708Z 2022-11-23T01:37:54.5607782Z - 2022-11-23T01:37:54.5607904Z local 'model' NN_MODULE 2022-11-23T01:37:54.5607966Z { 2022-11-23T01:37:54.5608102Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5608259Z 'code': ['___check_obj_id(model, 140538744197456)'], 2022-11-23T01:37:54.5608478Z 'obj_weakref': 2022-11-23T01:37:54.5608717Z 'guarded_class': 2022-11-23T01:37:54.5608780Z } 2022-11-23T01:37:54.5608847Z 2022-11-23T01:37:54.5608918Z - 2022-11-23T01:37:54.5609041Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5609092Z { 2022-11-23T01:37:54.5609229Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5609448Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5609604Z 'obj_weakref': None 2022-11-23T01:37:54.5609832Z 'guarded_class': 2022-11-23T01:37:54.5609894Z } 2022-11-23T01:37:54.5609956Z 2022-11-23T01:37:54.5610014Z - 2022-11-23T01:37:54.5610161Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.5610223Z { 2022-11-23T01:37:54.5610343Z 'guard_types': None, 2022-11-23T01:37:54.5610451Z 'code': None, 2022-11-23T01:37:54.5610570Z 'obj_weakref': None 2022-11-23T01:37:54.5610692Z 'guarded_class': None 2022-11-23T01:37:54.5610788Z } 2022-11-23T01:37:54.5610848Z 2022-11-23T01:37:54.5610917Z - 2022-11-23T01:37:54.5611063Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.5611126Z { 2022-11-23T01:37:54.5611246Z 'guard_types': None, 2022-11-23T01:37:54.5611355Z 'code': None, 2022-11-23T01:37:54.5611463Z 'obj_weakref': None 2022-11-23T01:37:54.5611584Z 'guarded_class': None 2022-11-23T01:37:54.5611647Z } 2022-11-23T01:37:54.5611708Z 2022-11-23T01:37:54.5611970Z [2022-11-23 01:30:44,604] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 74 2022-11-23T01:37:54.5612329Z [2022-11-23 01:30:44,608] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5b/c5bkvzfu766vcb2szu6f362egmjy4ou2m7jmfo3t3cl63jpoblyo.py 2022-11-23T01:37:54.5612595Z [2022-11-23 01:30:44,608] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 74 2022-11-23T01:37:54.5612827Z [2022-11-23 01:30:44,612] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5613100Z [2022-11-23 01:30:44,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5613319Z [2022-11-23 01:30:44,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5613563Z [2022-11-23 01:30:44,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.5613841Z [2022-11-23 01:30:44,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.5614159Z [2022-11-23 01:30:44,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5614406Z [2022-11-23 01:30:44,624] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.5614644Z [2022-11-23 01:30:44,624] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5614899Z [2022-11-23 01:30:44,625] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5615153Z [2022-11-23 01:30:44,639] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5615331Z [2022-11-23 01:30:44,640] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5615465Z __compiled_fn_76 .570 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5615553Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5615650Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.5615747Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.5615754Z 2022-11-23T01:37:54.5616032Z [2022-11-23 01:30:44,640] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5616128Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5616217Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5616296Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5616384Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5616459Z 8 RETURN_VALUE 2022-11-23T01:37:54.5616495Z 2022-11-23T01:37:54.5616555Z 2022-11-23T01:37:54.5616836Z [2022-11-23 01:30:44,640] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5616943Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_76) 2022-11-23T01:37:54.5617032Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5617110Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5617185Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5617272Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5617361Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.5617463Z 12 RETURN_VALUE 2022-11-23T01:37:54.5617468Z 2022-11-23T01:37:54.5617525Z 2022-11-23T01:37:54.5617712Z [2022-11-23 01:30:44,641] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5617784Z - 2022-11-23T01:37:54.5617891Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5617955Z { 2022-11-23T01:37:54.5618101Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5618291Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5618413Z 'obj_weakref': None 2022-11-23T01:37:54.5618640Z 'guarded_class': 2022-11-23T01:37:54.5618702Z } 2022-11-23T01:37:54.5618888Z 2022-11-23T01:37:54.5619009Z - 2022-11-23T01:37:54.5619168Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5619232Z { 2022-11-23T01:37:54.5619383Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5619495Z 'code': None, 2022-11-23T01:37:54.5619698Z 'obj_weakref': 2022-11-23T01:37:54.5619956Z 'guarded_class': 2022-11-23T01:37:54.5620021Z } 2022-11-23T01:37:54.5620084Z 2022-11-23T01:37:54.5620155Z - 2022-11-23T01:37:54.5620277Z local 'model' NN_MODULE 2022-11-23T01:37:54.5620341Z { 2022-11-23T01:37:54.5620466Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5620638Z 'code': ['___check_obj_id(model, 140538745581200)'], 2022-11-23T01:37:54.5620861Z 'obj_weakref': 2022-11-23T01:37:54.5621103Z 'guarded_class': 2022-11-23T01:37:54.5621170Z } 2022-11-23T01:37:54.5621233Z 2022-11-23T01:37:54.5621304Z - 2022-11-23T01:37:54.5621429Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5621479Z { 2022-11-23T01:37:54.5621617Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5621839Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5621960Z 'obj_weakref': None 2022-11-23T01:37:54.5622182Z 'guarded_class': 2022-11-23T01:37:54.5622244Z } 2022-11-23T01:37:54.5622306Z 2022-11-23T01:37:54.5622364Z - 2022-11-23T01:37:54.5622509Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.5622571Z { 2022-11-23T01:37:54.5622691Z 'guard_types': None, 2022-11-23T01:37:54.5622800Z 'code': None, 2022-11-23T01:37:54.5622924Z 'obj_weakref': None 2022-11-23T01:37:54.5623035Z 'guarded_class': None 2022-11-23T01:37:54.5623100Z } 2022-11-23T01:37:54.5623161Z 2022-11-23T01:37:54.5623231Z - 2022-11-23T01:37:54.5623378Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.5623439Z { 2022-11-23T01:37:54.5623615Z 'guard_types': None, 2022-11-23T01:37:54.5623714Z 'code': None, 2022-11-23T01:37:54.5623834Z 'obj_weakref': None 2022-11-23T01:37:54.5623957Z 'guarded_class': None 2022-11-23T01:37:54.5624019Z } 2022-11-23T01:37:54.5624082Z 2022-11-23T01:37:54.5624344Z [2022-11-23 01:30:44,657] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 75 2022-11-23T01:37:54.5624350Z 2022-11-23T01:37:54.5624355Z 2022-11-23T01:37:54.5624447Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5624516Z import torch 2022-11-23T01:37:54.5624573Z import random 2022-11-23T01:37:54.5624730Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5624851Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5624856Z 2022-11-23T01:37:54.5624934Z aten = torch.ops.aten 2022-11-23T01:37:54.5625068Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5625160Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5625168Z 2022-11-23T01:37:54.5625172Z 2022-11-23T01:37:54.5625260Z async_compile.wait(globals()) 2022-11-23T01:37:54.5625320Z del async_compile 2022-11-23T01:37:54.5625336Z 2022-11-23T01:37:54.5625394Z def call(args): 2022-11-23T01:37:54.5625514Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.5625585Z args.clear() 2022-11-23T01:37:54.5625714Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 1) 2022-11-23T01:37:54.5625818Z assert_size_stride(buf0, (1, 32, 108), (3456, 108, 1)) 2022-11-23T01:37:54.5625889Z del arg0_1 2022-11-23T01:37:54.5625954Z del arg1_1 2022-11-23T01:37:54.5626008Z del arg7_1 2022-11-23T01:37:54.5626080Z return (buf0, ) 2022-11-23T01:37:54.5626085Z 2022-11-23T01:37:54.5626089Z 2022-11-23T01:37:54.5626163Z if __name__ == "__main__": 2022-11-23T01:37:54.5626274Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5626397Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5626610Z arg0_1 = rand_strided((32, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5626805Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5626999Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5627174Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5627360Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5627548Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5627733Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.5627943Z arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5628180Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.5628190Z 2022-11-23T01:37:54.5628194Z 2022-11-23T01:37:54.5628297Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5628367Z import torch 2022-11-23T01:37:54.5628424Z import random 2022-11-23T01:37:54.5628542Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5628660Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5628665Z 2022-11-23T01:37:54.5628741Z aten = torch.ops.aten 2022-11-23T01:37:54.5628875Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5628965Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5628972Z 2022-11-23T01:37:54.5628976Z 2022-11-23T01:37:54.5629063Z async_compile.wait(globals()) 2022-11-23T01:37:54.5629134Z del async_compile 2022-11-23T01:37:54.5629139Z 2022-11-23T01:37:54.5629196Z def call(args): 2022-11-23T01:37:54.5629314Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.5629386Z args.clear() 2022-11-23T01:37:54.5629550Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 4) 2022-11-23T01:37:54.5629658Z assert_size_stride(buf0, (1, 128, 108), (13824, 108, 1)) 2022-11-23T01:37:54.5629725Z del arg0_1 2022-11-23T01:37:54.5629790Z del arg1_1 2022-11-23T01:37:54.5629843Z del arg7_1 2022-11-23T01:37:54.5629913Z return (buf0, ) 2022-11-23T01:37:54.5629918Z 2022-11-23T01:37:54.5629923Z 2022-11-23T01:37:54.5629998Z if __name__ == "__main__": 2022-11-23T01:37:54.5630111Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5630232Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5630472Z arg0_1 = rand_strided((128, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5630669Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5630867Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5631048Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5631240Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5631428Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5631610Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.5631819Z arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5631972Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.5631979Z 2022-11-23T01:37:54.5631984Z 2022-11-23T01:37:54.5632076Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5632145Z import torch 2022-11-23T01:37:54.5632203Z import random 2022-11-23T01:37:54.5632317Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5632435Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5632440Z 2022-11-23T01:37:54.5632518Z aten = torch.ops.aten 2022-11-23T01:37:54.5632650Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5632739Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5632744Z 2022-11-23T01:37:54.5632748Z 2022-11-23T01:37:54.5632835Z async_compile.wait(globals()) 2022-11-23T01:37:54.5632906Z del async_compile 2022-11-23T01:37:54.5632911Z 2022-11-23T01:37:54.5632968Z def call(args): 2022-11-23T01:37:54.5633083Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.5633152Z args.clear() 2022-11-23T01:37:54.5633282Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 1) 2022-11-23T01:37:54.5633389Z assert_size_stride(buf0, (1, 32, 112), (3584, 112, 1)) 2022-11-23T01:37:54.5633459Z del arg0_1 2022-11-23T01:37:54.5633526Z del arg1_1 2022-11-23T01:37:54.5633579Z del arg7_1 2022-11-23T01:37:54.5633650Z return (buf0, ) 2022-11-23T01:37:54.5633655Z 2022-11-23T01:37:54.5633659Z 2022-11-23T01:37:54.5633737Z if __name__ == "__main__": 2022-11-23T01:37:54.5633851Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5633974Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5634183Z arg0_1 = rand_strided((32, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5634381Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5634579Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5634758Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5634953Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5635141Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5635325Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.5635599Z arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5635756Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.5635762Z 2022-11-23T01:37:54.5635766Z 2022-11-23T01:37:54.5635862Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5635933Z import torch 2022-11-23T01:37:54.5635991Z import random 2022-11-23T01:37:54.5636107Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5636228Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5636232Z 2022-11-23T01:37:54.5636311Z aten = torch.ops.aten 2022-11-23T01:37:54.5636475Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5636567Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5636572Z 2022-11-23T01:37:54.5636577Z 2022-11-23T01:37:54.5636665Z async_compile.wait(globals()) 2022-11-23T01:37:54.5636737Z del async_compile 2022-11-23T01:37:54.5636742Z 2022-11-23T01:37:54.5636812Z def call(args): 2022-11-23T01:37:54.5636917Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.5636990Z args.clear() 2022-11-23T01:37:54.5637122Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 4) 2022-11-23T01:37:54.5637232Z assert_size_stride(buf0, (1, 128, 112), (14336, 112, 1)) 2022-11-23T01:37:54.5637301Z del arg0_1 2022-11-23T01:37:54.5637370Z del arg1_1 2022-11-23T01:37:54.5637437Z del arg7_1 2022-11-23T01:37:54.5637495Z return (buf0, ) 2022-11-23T01:37:54.5637500Z 2022-11-23T01:37:54.5637504Z 2022-11-23T01:37:54.5637579Z if __name__ == "__main__": 2022-11-23T01:37:54.5637696Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5637824Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5638035Z arg0_1 = rand_strided((128, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5638233Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5638431Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5638627Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5638807Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5638997Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5639179Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.5639392Z arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5639549Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.5639555Z 2022-11-23T01:37:54.5639559Z 2022-11-23T01:37:54.5639654Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5639725Z import torch 2022-11-23T01:37:54.5639794Z import random 2022-11-23T01:37:54.5639898Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5640021Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5640026Z 2022-11-23T01:37:54.5640103Z aten = torch.ops.aten 2022-11-23T01:37:54.5640233Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5640322Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5640327Z 2022-11-23T01:37:54.5640331Z 2022-11-23T01:37:54.5640418Z async_compile.wait(globals()) 2022-11-23T01:37:54.5640490Z del async_compile 2022-11-23T01:37:54.5640495Z 2022-11-23T01:37:54.5640565Z def call(args): 2022-11-23T01:37:54.5640672Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.5640741Z args.clear() 2022-11-23T01:37:54.5640870Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 1) 2022-11-23T01:37:54.5640973Z assert_size_stride(buf0, (1, 32, 112), (3584, 112, 1)) 2022-11-23T01:37:54.5641039Z del arg0_1 2022-11-23T01:37:54.5641133Z del arg1_1 2022-11-23T01:37:54.5641198Z del arg7_1 2022-11-23T01:37:54.5641256Z return (buf0, ) 2022-11-23T01:37:54.5641261Z 2022-11-23T01:37:54.5641265Z 2022-11-23T01:37:54.5641339Z if __name__ == "__main__": 2022-11-23T01:37:54.5641451Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5641571Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5641779Z arg0_1 = rand_strided((32, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5641972Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5642197Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5642388Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5642565Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5642750Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5642932Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.5643141Z arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5643296Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.5643300Z 2022-11-23T01:37:54.5643305Z 2022-11-23T01:37:54.5643396Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5643468Z import torch 2022-11-23T01:37:54.5643537Z import random 2022-11-23T01:37:54.5643638Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5643759Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5643764Z 2022-11-23T01:37:54.5643840Z aten = torch.ops.aten 2022-11-23T01:37:54.5643973Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5644060Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5644065Z 2022-11-23T01:37:54.5644069Z 2022-11-23T01:37:54.5644158Z async_compile.wait(globals()) 2022-11-23T01:37:54.5644230Z del async_compile 2022-11-23T01:37:54.5644234Z 2022-11-23T01:37:54.5644302Z def call(args): 2022-11-23T01:37:54.5644406Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.5644475Z args.clear() 2022-11-23T01:37:54.5644603Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 4) 2022-11-23T01:37:54.5644708Z assert_size_stride(buf0, (1, 128, 112), (14336, 112, 1)) 2022-11-23T01:37:54.5644776Z del arg0_1 2022-11-23T01:37:54.5644842Z del arg1_1 2022-11-23T01:37:54.5644908Z del arg7_1 2022-11-23T01:37:54.5644965Z return (buf0, ) 2022-11-23T01:37:54.5644971Z 2022-11-23T01:37:54.5644986Z 2022-11-23T01:37:54.5645049Z if __name__ == "__main__": 2022-11-23T01:37:54.5645160Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5645281Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5645491Z arg0_1 = rand_strided((128, 3, 1), (3, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5645688Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5645883Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5646075Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5646252Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5646440Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5646622Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.5646834Z arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5646988Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.5647391Z [2022-11-23 01:30:44,664] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/il/cilond3i4c23ecbqnj5uhp2h2rvopswcllvrvwhmv5nxksf65kvx.py 2022-11-23T01:37:54.5647662Z [2022-11-23 01:30:44,664] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 75 2022-11-23T01:37:54.5647902Z [2022-11-23 01:30:44,669] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5648174Z [2022-11-23 01:30:44,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5648381Z [2022-11-23 01:30:44,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5648659Z [2022-11-23 01:30:44,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.5648940Z [2022-11-23 01:30:44,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.5649258Z [2022-11-23 01:30:44,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5649506Z [2022-11-23 01:30:44,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.5649742Z [2022-11-23 01:30:44,682] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5649996Z [2022-11-23 01:30:44,683] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5650245Z [2022-11-23 01:30:44,698] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5650440Z [2022-11-23 01:30:44,698] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5650563Z __compiled_fn_77 .581 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5650651Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5650752Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.5650852Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.5650857Z 2022-11-23T01:37:54.5651134Z [2022-11-23 01:30:44,698] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5651228Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5651318Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5651411Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5651488Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5651561Z 8 RETURN_VALUE 2022-11-23T01:37:54.5651569Z 2022-11-23T01:37:54.5651628Z 2022-11-23T01:37:54.5651903Z [2022-11-23 01:30:44,699] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5652013Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_77) 2022-11-23T01:37:54.5652103Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5652198Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5652274Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5652351Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5652440Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.5652517Z 12 RETURN_VALUE 2022-11-23T01:37:54.5652522Z 2022-11-23T01:37:54.5652580Z 2022-11-23T01:37:54.5652766Z [2022-11-23 01:30:44,699] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5652838Z - 2022-11-23T01:37:54.5652958Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5653010Z { 2022-11-23T01:37:54.5653152Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5653345Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5653470Z 'obj_weakref': None 2022-11-23T01:37:54.5653696Z 'guarded_class': 2022-11-23T01:37:54.5653760Z } 2022-11-23T01:37:54.5653854Z 2022-11-23T01:37:54.5653915Z - 2022-11-23T01:37:54.5654041Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5654103Z { 2022-11-23T01:37:54.5654247Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5654356Z 'code': None, 2022-11-23T01:37:54.5654569Z 'obj_weakref': 2022-11-23T01:37:54.5654823Z 'guarded_class': 2022-11-23T01:37:54.5654873Z } 2022-11-23T01:37:54.5654991Z 2022-11-23T01:37:54.5655062Z - 2022-11-23T01:37:54.5655182Z local 'model' NN_MODULE 2022-11-23T01:37:54.5655245Z { 2022-11-23T01:37:54.5655383Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5655555Z 'code': ['___check_obj_id(model, 140538744479440)'], 2022-11-23T01:37:54.5655769Z 'obj_weakref': 2022-11-23T01:37:54.5656010Z 'guarded_class': 2022-11-23T01:37:54.5656074Z } 2022-11-23T01:37:54.5656138Z 2022-11-23T01:37:54.5656208Z - 2022-11-23T01:37:54.5656332Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5656395Z { 2022-11-23T01:37:54.5656522Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5656743Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5656870Z 'obj_weakref': None 2022-11-23T01:37:54.5657092Z 'guarded_class': 2022-11-23T01:37:54.5657155Z } 2022-11-23T01:37:54.5657218Z 2022-11-23T01:37:54.5657290Z - 2022-11-23T01:37:54.5657426Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.5657492Z { 2022-11-23T01:37:54.5657615Z 'guard_types': None, 2022-11-23T01:37:54.5657723Z 'code': None, 2022-11-23T01:37:54.5657842Z 'obj_weakref': None 2022-11-23T01:37:54.5657964Z 'guarded_class': None 2022-11-23T01:37:54.5658025Z } 2022-11-23T01:37:54.5658075Z 2022-11-23T01:37:54.5658144Z - 2022-11-23T01:37:54.5658290Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.5658353Z { 2022-11-23T01:37:54.5658472Z 'guard_types': None, 2022-11-23T01:37:54.5658583Z 'code': None, 2022-11-23T01:37:54.5658691Z 'obj_weakref': None 2022-11-23T01:37:54.5658999Z 'guarded_class': None 2022-11-23T01:37:54.5659079Z } 2022-11-23T01:37:54.5659141Z 2022-11-23T01:37:54.5659405Z [2022-11-23 01:30:44,708] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 76 2022-11-23T01:37:54.5659779Z [2022-11-23 01:30:44,713] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jk/cjkqk26t3q4kjfdd3rtbmmgj5ioxyn3zlnwn2iywex62ojktidei.py 2022-11-23T01:37:54.5660048Z [2022-11-23 01:30:44,713] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 76 2022-11-23T01:37:54.5660288Z [2022-11-23 01:30:44,717] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5660545Z [2022-11-23 01:30:44,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5660770Z [2022-11-23 01:30:44,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5661016Z [2022-11-23 01:30:44,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.5661296Z [2022-11-23 01:30:44,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.5661679Z [2022-11-23 01:30:44,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5661935Z [2022-11-23 01:30:44,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.5662175Z [2022-11-23 01:30:44,729] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5662431Z [2022-11-23 01:30:44,730] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5662682Z [2022-11-23 01:30:44,745] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5662915Z [2022-11-23 01:30:44,745] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5663037Z __compiled_fn_78 .592 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5663128Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5663228Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.5663326Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.5663333Z 2022-11-23T01:37:54.5663613Z [2022-11-23 01:30:44,745] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5663712Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5663803Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5663893Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5663971Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5664049Z 8 RETURN_VALUE 2022-11-23T01:37:54.5664054Z 2022-11-23T01:37:54.5664115Z 2022-11-23T01:37:54.5664393Z [2022-11-23 01:30:44,745] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5664501Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_78) 2022-11-23T01:37:54.5664592Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5664679Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5664742Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5664828Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5664919Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.5664993Z 12 RETURN_VALUE 2022-11-23T01:37:54.5664998Z 2022-11-23T01:37:54.5665058Z 2022-11-23T01:37:54.5665244Z [2022-11-23 01:30:44,746] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5665316Z - 2022-11-23T01:37:54.5665423Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5665489Z { 2022-11-23T01:37:54.5665631Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5665821Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5665945Z 'obj_weakref': None 2022-11-23T01:37:54.5666172Z 'guarded_class': 2022-11-23T01:37:54.5666239Z } 2022-11-23T01:37:54.5666289Z 2022-11-23T01:37:54.5666358Z - 2022-11-23T01:37:54.5666484Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5666547Z { 2022-11-23T01:37:54.5666693Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5666804Z 'code': None, 2022-11-23T01:37:54.5667020Z 'obj_weakref': 2022-11-23T01:37:54.5667266Z 'guarded_class': 2022-11-23T01:37:54.5667333Z } 2022-11-23T01:37:54.5667395Z 2022-11-23T01:37:54.5667465Z - 2022-11-23T01:37:54.5667586Z local 'model' NN_MODULE 2022-11-23T01:37:54.5667647Z { 2022-11-23T01:37:54.5667783Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5667974Z 'code': ['___check_obj_id(model, 140538745965072)'], 2022-11-23T01:37:54.5668287Z 'obj_weakref': 2022-11-23T01:37:54.5668534Z 'guarded_class': 2022-11-23T01:37:54.5668598Z } 2022-11-23T01:37:54.5668661Z 2022-11-23T01:37:54.5668731Z - 2022-11-23T01:37:54.5668855Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5668905Z { 2022-11-23T01:37:54.5669045Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5669266Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5669427Z 'obj_weakref': None 2022-11-23T01:37:54.5669654Z 'guarded_class': 2022-11-23T01:37:54.5669717Z } 2022-11-23T01:37:54.5669780Z 2022-11-23T01:37:54.5669838Z - 2022-11-23T01:37:54.5669989Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.5670053Z { 2022-11-23T01:37:54.5670174Z 'guard_types': None, 2022-11-23T01:37:54.5670284Z 'code': None, 2022-11-23T01:37:54.5670405Z 'obj_weakref': None 2022-11-23T01:37:54.5670530Z 'guarded_class': None 2022-11-23T01:37:54.5670579Z } 2022-11-23T01:37:54.5670640Z 2022-11-23T01:37:54.5670710Z - 2022-11-23T01:37:54.5670857Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.5670921Z { 2022-11-23T01:37:54.5671046Z 'guard_types': None, 2022-11-23T01:37:54.5671153Z 'code': None, 2022-11-23T01:37:54.5671260Z 'obj_weakref': None 2022-11-23T01:37:54.5671381Z 'guarded_class': None 2022-11-23T01:37:54.5671444Z } 2022-11-23T01:37:54.5671505Z 2022-11-23T01:37:54.5671769Z [2022-11-23 01:30:44,755] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 77 2022-11-23T01:37:54.5672141Z [2022-11-23 01:30:44,760] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hv/chvacu23sujoub7knlimjkkablr24auqimctyvztouh2gaprik4g.py 2022-11-23T01:37:54.5672406Z [2022-11-23 01:30:44,760] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 77 2022-11-23T01:37:54.5672648Z [2022-11-23 01:30:44,764] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5672907Z [2022-11-23 01:30:44,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5673129Z [2022-11-23 01:30:44,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5673375Z [2022-11-23 01:30:44,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.5673658Z [2022-11-23 01:30:44,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.5673974Z [2022-11-23 01:30:44,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5674227Z [2022-11-23 01:30:44,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.5674469Z [2022-11-23 01:30:44,776] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5674728Z [2022-11-23 01:30:44,777] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5674984Z [2022-11-23 01:30:44,792] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5675163Z [2022-11-23 01:30:44,792] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5675298Z __compiled_fn_79 .603 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5675422Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5675526Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.5675628Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.5675633Z 2022-11-23T01:37:54.5675915Z [2022-11-23 01:30:44,792] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5676012Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5676103Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5676183Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5676312Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5676389Z 8 RETURN_VALUE 2022-11-23T01:37:54.5676394Z 2022-11-23T01:37:54.5676456Z 2022-11-23T01:37:54.5676735Z [2022-11-23 01:30:44,792] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5676845Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_79) 2022-11-23T01:37:54.5676938Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5677027Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5677090Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5677179Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5677269Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.5677344Z 12 RETURN_VALUE 2022-11-23T01:37:54.5677349Z 2022-11-23T01:37:54.5677410Z 2022-11-23T01:37:54.5677595Z [2022-11-23 01:30:44,793] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5677669Z - 2022-11-23T01:37:54.5677780Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5677850Z { 2022-11-23T01:37:54.5677995Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5678187Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5678311Z 'obj_weakref': None 2022-11-23T01:37:54.5678539Z 'guarded_class': 2022-11-23T01:37:54.5678606Z } 2022-11-23T01:37:54.5678655Z 2022-11-23T01:37:54.5678728Z - 2022-11-23T01:37:54.5678857Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5678923Z { 2022-11-23T01:37:54.5679069Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5679180Z 'code': None, 2022-11-23T01:37:54.5679393Z 'obj_weakref': 2022-11-23T01:37:54.5679635Z 'guarded_class': 2022-11-23T01:37:54.5679704Z } 2022-11-23T01:37:54.5679770Z 2022-11-23T01:37:54.5679842Z - 2022-11-23T01:37:54.5679967Z local 'model' NN_MODULE 2022-11-23T01:37:54.5680034Z { 2022-11-23T01:37:54.5680173Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5680335Z 'code': ['___check_obj_id(model, 140538745669072)'], 2022-11-23T01:37:54.5680561Z 'obj_weakref': 2022-11-23T01:37:54.5680801Z 'guarded_class': 2022-11-23T01:37:54.5680868Z } 2022-11-23T01:37:54.5680931Z 2022-11-23T01:37:54.5681003Z - 2022-11-23T01:37:54.5681129Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5681180Z { 2022-11-23T01:37:54.5681319Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5681547Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5681670Z 'obj_weakref': None 2022-11-23T01:37:54.5681892Z 'guarded_class': 2022-11-23T01:37:54.5681955Z } 2022-11-23T01:37:54.5682049Z 2022-11-23T01:37:54.5682109Z - 2022-11-23T01:37:54.5682257Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.5682320Z { 2022-11-23T01:37:54.5682442Z 'guard_types': None, 2022-11-23T01:37:54.5682550Z 'code': None, 2022-11-23T01:37:54.5682670Z 'obj_weakref': None 2022-11-23T01:37:54.5682791Z 'guarded_class': None 2022-11-23T01:37:54.5682841Z } 2022-11-23T01:37:54.5682903Z 2022-11-23T01:37:54.5682972Z - 2022-11-23T01:37:54.5683122Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.5683216Z { 2022-11-23T01:37:54.5683338Z 'guard_types': None, 2022-11-23T01:37:54.5683434Z 'code': None, 2022-11-23T01:37:54.5683551Z 'obj_weakref': None 2022-11-23T01:37:54.5683672Z 'guarded_class': None 2022-11-23T01:37:54.5683734Z } 2022-11-23T01:37:54.5683795Z 2022-11-23T01:37:54.5684054Z [2022-11-23 01:30:44,802] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 78 2022-11-23T01:37:54.5684422Z [2022-11-23 01:30:44,807] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jc/cjcycmpbaay4knv4m4j2m23rs7nm7x6au56hvyzsuyku5hrxfcoz.py 2022-11-23T01:37:54.5684687Z [2022-11-23 01:30:44,807] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 78 2022-11-23T01:37:54.5684997Z [2022-11-23 01:30:44,811] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5685279Z [2022-11-23 01:30:44,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5685498Z [2022-11-23 01:30:44,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5685744Z [2022-11-23 01:30:44,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.5686025Z [2022-11-23 01:30:44,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.5686342Z [2022-11-23 01:30:44,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5686592Z [2022-11-23 01:30:44,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.5686830Z [2022-11-23 01:30:44,823] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5687084Z [2022-11-23 01:30:44,824] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5687326Z [2022-11-23 01:30:44,839] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5687518Z [2022-11-23 01:30:44,839] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5687655Z __compiled_fn_80 .614 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5687744Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5687842Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.5687941Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.5687946Z 2022-11-23T01:37:54.5688224Z [2022-11-23 01:30:44,840] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5688316Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5688394Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5688488Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5688577Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5688653Z 8 RETURN_VALUE 2022-11-23T01:37:54.5688658Z 2022-11-23T01:37:54.5688716Z 2022-11-23T01:37:54.5688995Z [2022-11-23 01:30:44,840] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5689139Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_80) 2022-11-23T01:37:54.5689231Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5689307Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5689384Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5689470Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5689559Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.5689633Z 12 RETURN_VALUE 2022-11-23T01:37:54.5689638Z 2022-11-23T01:37:54.5689698Z 2022-11-23T01:37:54.5689882Z [2022-11-23 01:30:44,840] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5690084Z - 2022-11-23T01:37:54.5690209Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5690274Z { 2022-11-23T01:37:54.5690420Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5690612Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5690739Z 'obj_weakref': None 2022-11-23T01:37:54.5690964Z 'guarded_class': 2022-11-23T01:37:54.5691016Z } 2022-11-23T01:37:54.5691078Z 2022-11-23T01:37:54.5691147Z - 2022-11-23T01:37:54.5691275Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5691339Z { 2022-11-23T01:37:54.5691483Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5691592Z 'code': None, 2022-11-23T01:37:54.5691795Z 'obj_weakref': 2022-11-23T01:37:54.5692054Z 'guarded_class': 2022-11-23T01:37:54.5692117Z } 2022-11-23T01:37:54.5692179Z 2022-11-23T01:37:54.5692251Z - 2022-11-23T01:37:54.5692372Z local 'model' NN_MODULE 2022-11-23T01:37:54.5692433Z { 2022-11-23T01:37:54.5692559Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5692730Z 'code': ['___check_obj_id(model, 140538743981456)'], 2022-11-23T01:37:54.5692956Z 'obj_weakref': 2022-11-23T01:37:54.5693192Z 'guarded_class': 2022-11-23T01:37:54.5693254Z } 2022-11-23T01:37:54.5693314Z 2022-11-23T01:37:54.5693384Z - 2022-11-23T01:37:54.5693497Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5693561Z { 2022-11-23T01:37:54.5693698Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5693918Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5694038Z 'obj_weakref': None 2022-11-23T01:37:54.5694262Z 'guarded_class': 2022-11-23T01:37:54.5694326Z } 2022-11-23T01:37:54.5694376Z 2022-11-23T01:37:54.5694445Z - 2022-11-23T01:37:54.5694591Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.5694652Z { 2022-11-23T01:37:54.5694773Z 'guard_types': None, 2022-11-23T01:37:54.5694880Z 'code': None, 2022-11-23T01:37:54.5694999Z 'obj_weakref': None 2022-11-23T01:37:54.5695108Z 'guarded_class': None 2022-11-23T01:37:54.5695171Z } 2022-11-23T01:37:54.5695234Z 2022-11-23T01:37:54.5695307Z - 2022-11-23T01:37:54.5695454Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.5695515Z { 2022-11-23T01:37:54.5695636Z 'guard_types': None, 2022-11-23T01:37:54.5695730Z 'code': None, 2022-11-23T01:37:54.5695848Z 'obj_weakref': None 2022-11-23T01:37:54.5695971Z 'guarded_class': None 2022-11-23T01:37:54.5696067Z } 2022-11-23T01:37:54.5696129Z 2022-11-23T01:37:54.5696393Z [2022-11-23 01:30:44,850] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 79 2022-11-23T01:37:54.5696764Z [2022-11-23 01:30:44,854] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/al/calrwpzvq6bxx6miwie35wa7n3h3aoan2uifrzrgaog7dufzizw2.py 2022-11-23T01:37:54.5697017Z [2022-11-23 01:30:44,854] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 79 2022-11-23T01:37:54.5697258Z [2022-11-23 01:30:44,860] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5697560Z [2022-11-23 01:30:44,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5697780Z [2022-11-23 01:30:44,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5698028Z [2022-11-23 01:30:44,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.5698308Z [2022-11-23 01:30:44,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.5698626Z [2022-11-23 01:30:44,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5699094Z [2022-11-23 01:30:44,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.5699343Z [2022-11-23 01:30:44,875] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5699602Z [2022-11-23 01:30:44,876] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5699840Z [2022-11-23 01:30:44,892] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5700033Z [2022-11-23 01:30:44,892] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5700167Z __compiled_fn_81 .625 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5700257Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5700356Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.5700457Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.5700464Z 2022-11-23T01:37:54.5700743Z [2022-11-23 01:30:44,893] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5700837Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5700915Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5701012Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5701102Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5701180Z 8 RETURN_VALUE 2022-11-23T01:37:54.5701185Z 2022-11-23T01:37:54.5701248Z 2022-11-23T01:37:54.5701527Z [2022-11-23 01:30:44,893] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5701635Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_81) 2022-11-23T01:37:54.5701713Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5701801Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5701878Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5701965Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5702055Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.5702128Z 12 RETURN_VALUE 2022-11-23T01:37:54.5702133Z 2022-11-23T01:37:54.5702193Z 2022-11-23T01:37:54.5702377Z [2022-11-23 01:30:44,893] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5702436Z - 2022-11-23T01:37:54.5702556Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5702620Z { 2022-11-23T01:37:54.5702761Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5703012Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5703137Z 'obj_weakref': None 2022-11-23T01:37:54.5703363Z 'guarded_class': 2022-11-23T01:37:54.5703416Z } 2022-11-23T01:37:54.5703479Z 2022-11-23T01:37:54.5703550Z - 2022-11-23T01:37:54.5703676Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5703740Z { 2022-11-23T01:37:54.5703887Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5703997Z 'code': None, 2022-11-23T01:37:54.5704252Z 'obj_weakref': 2022-11-23T01:37:54.5704507Z 'guarded_class': 2022-11-23T01:37:54.5704571Z } 2022-11-23T01:37:54.5704633Z 2022-11-23T01:37:54.5704704Z - 2022-11-23T01:37:54.5704828Z local 'model' NN_MODULE 2022-11-23T01:37:54.5704891Z { 2022-11-23T01:37:54.5705013Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5705184Z 'code': ['___check_obj_id(model, 140538742843664)'], 2022-11-23T01:37:54.5705408Z 'obj_weakref': 2022-11-23T01:37:54.5705649Z 'guarded_class': 2022-11-23T01:37:54.5705715Z } 2022-11-23T01:37:54.5705778Z 2022-11-23T01:37:54.5705849Z - 2022-11-23T01:37:54.5705966Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5706033Z { 2022-11-23T01:37:54.5706171Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5706396Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5706518Z 'obj_weakref': None 2022-11-23T01:37:54.5706743Z 'guarded_class': 2022-11-23T01:37:54.5706807Z } 2022-11-23T01:37:54.5706856Z 2022-11-23T01:37:54.5706925Z - 2022-11-23T01:37:54.5707071Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.5707132Z { 2022-11-23T01:37:54.5707254Z 'guard_types': None, 2022-11-23T01:37:54.5707361Z 'code': None, 2022-11-23T01:37:54.5707480Z 'obj_weakref': None 2022-11-23T01:37:54.5707590Z 'guarded_class': None 2022-11-23T01:37:54.5707655Z } 2022-11-23T01:37:54.5707719Z 2022-11-23T01:37:54.5707790Z - 2022-11-23T01:37:54.5707938Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.5708002Z { 2022-11-23T01:37:54.5708214Z 'guard_types': None, 2022-11-23T01:37:54.5708334Z 'code': None, 2022-11-23T01:37:54.5708454Z 'obj_weakref': None 2022-11-23T01:37:54.5708580Z 'guarded_class': None 2022-11-23T01:37:54.5708644Z } 2022-11-23T01:37:54.5708706Z 2022-11-23T01:37:54.5708968Z [2022-11-23 01:30:44,904] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 80 2022-11-23T01:37:54.5709324Z [2022-11-23 01:30:44,910] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jq/cjqyf3e42uy33krhq5tma6obphrb2bnewratrzle2id7k6lqwpxu.py 2022-11-23T01:37:54.5709589Z [2022-11-23 01:30:44,910] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 80 2022-11-23T01:37:54.5709829Z [2022-11-23 01:30:44,932] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5710104Z [2022-11-23 01:30:44,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5710325Z [2022-11-23 01:30:44,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5710609Z [2022-11-23 01:30:44,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.5710891Z [2022-11-23 01:30:44,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.5711209Z [2022-11-23 01:30:44,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5711460Z [2022-11-23 01:30:44,948] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.5711695Z [2022-11-23 01:30:44,948] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5711971Z [2022-11-23 01:30:44,949] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5712223Z [2022-11-23 01:30:44,966] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5712415Z [2022-11-23 01:30:44,966] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5712550Z __compiled_fn_82 .636 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5712638Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5712736Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.5712834Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.5712841Z 2022-11-23T01:37:54.5713120Z [2022-11-23 01:30:44,966] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5713202Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5713295Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5713384Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5713474Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5713549Z 8 RETURN_VALUE 2022-11-23T01:37:54.5713554Z 2022-11-23T01:37:54.5713614Z 2022-11-23T01:37:54.5713894Z [2022-11-23 01:30:44,966] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5714001Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_82) 2022-11-23T01:37:54.5714077Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5714165Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5714241Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5714327Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5714415Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.5714490Z 12 RETURN_VALUE 2022-11-23T01:37:54.5714497Z 2022-11-23T01:37:54.5714556Z 2022-11-23T01:37:54.5714728Z [2022-11-23 01:30:44,967] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5714798Z - 2022-11-23T01:37:54.5714919Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5714982Z { 2022-11-23T01:37:54.5715127Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5715319Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5715443Z 'obj_weakref': None 2022-11-23T01:37:54.5715655Z 'guarded_class': 2022-11-23T01:37:54.5715723Z } 2022-11-23T01:37:54.5715787Z 2022-11-23T01:37:54.5715861Z - 2022-11-23T01:37:54.5715990Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5716055Z { 2022-11-23T01:37:54.5716197Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5722133Z 'code': None, 2022-11-23T01:37:54.5722410Z 'obj_weakref': 2022-11-23T01:37:54.5722675Z 'guarded_class': 2022-11-23T01:37:54.5722743Z } 2022-11-23T01:37:54.5722794Z 2022-11-23T01:37:54.5722941Z - 2022-11-23T01:37:54.5723073Z local 'model' NN_MODULE 2022-11-23T01:37:54.5723142Z { 2022-11-23T01:37:54.5723286Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5723464Z 'code': ['___check_obj_id(model, 140538742843664)'], 2022-11-23T01:37:54.5723691Z 'obj_weakref': 2022-11-23T01:37:54.5723922Z 'guarded_class': 2022-11-23T01:37:54.5723990Z } 2022-11-23T01:37:54.5724097Z 2022-11-23T01:37:54.5724170Z - 2022-11-23T01:37:54.5724298Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5724362Z { 2022-11-23T01:37:54.5724504Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5724713Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5724843Z 'obj_weakref': None 2022-11-23T01:37:54.5725068Z 'guarded_class': 2022-11-23T01:37:54.5725132Z } 2022-11-23T01:37:54.5725194Z 2022-11-23T01:37:54.5725266Z - 2022-11-23T01:37:54.5725417Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.5725469Z { 2022-11-23T01:37:54.5725591Z 'guard_types': None, 2022-11-23T01:37:54.5725702Z 'code': None, 2022-11-23T01:37:54.5725825Z 'obj_weakref': None 2022-11-23T01:37:54.5725951Z 'guarded_class': None 2022-11-23T01:37:54.5726018Z } 2022-11-23T01:37:54.5726068Z 2022-11-23T01:37:54.5726143Z - 2022-11-23T01:37:54.5726355Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.5726444Z { 2022-11-23T01:37:54.5726623Z 'guard_types': None, 2022-11-23T01:37:54.5726791Z 'code': None, 2022-11-23T01:37:54.5726974Z 'obj_weakref': None 2022-11-23T01:37:54.5727126Z 'guarded_class': None 2022-11-23T01:37:54.5727216Z } 2022-11-23T01:37:54.5727319Z 2022-11-23T01:37:54.5727706Z [2022-11-23 01:30:44,977] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 81 2022-11-23T01:37:54.5727719Z 2022-11-23T01:37:54.5727725Z 2022-11-23T01:37:54.5727851Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5727951Z import torch 2022-11-23T01:37:54.5728046Z import random 2022-11-23T01:37:54.5728215Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5728370Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5728379Z 2022-11-23T01:37:54.5728489Z aten = torch.ops.aten 2022-11-23T01:37:54.5728671Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5728833Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5728844Z 2022-11-23T01:37:54.5728850Z 2022-11-23T01:37:54.5729038Z async_compile.wait(globals()) 2022-11-23T01:37:54.5729185Z del async_compile 2022-11-23T01:37:54.5729194Z 2022-11-23T01:37:54.5729289Z def call(args): 2022-11-23T01:37:54.5729473Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.5729565Z args.clear() 2022-11-23T01:37:54.5729765Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 1) 2022-11-23T01:37:54.5729918Z assert_size_stride(buf0, (1, 32, 110), (3520, 110, 1)) 2022-11-23T01:37:54.5730011Z del arg0_1 2022-11-23T01:37:54.5730104Z del arg1_1 2022-11-23T01:37:54.5730198Z del arg7_1 2022-11-23T01:37:54.5730311Z return (buf0, ) 2022-11-23T01:37:54.5730320Z 2022-11-23T01:37:54.5730326Z 2022-11-23T01:37:54.5730407Z if __name__ == "__main__": 2022-11-23T01:37:54.5730523Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5730648Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5730978Z arg0_1 = rand_strided((32, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5731183Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5731382Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5731577Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5731769Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5731944Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5732167Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.5732379Z arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5732539Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.5732546Z 2022-11-23T01:37:54.5732550Z 2022-11-23T01:37:54.5732647Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5732717Z import torch 2022-11-23T01:37:54.5732786Z import random 2022-11-23T01:37:54.5732902Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5733010Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5733015Z 2022-11-23T01:37:54.5733095Z aten = torch.ops.aten 2022-11-23T01:37:54.5733229Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5733320Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5733325Z 2022-11-23T01:37:54.5733329Z 2022-11-23T01:37:54.5733417Z async_compile.wait(globals()) 2022-11-23T01:37:54.5733494Z del async_compile 2022-11-23T01:37:54.5733499Z 2022-11-23T01:37:54.5733572Z def call(args): 2022-11-23T01:37:54.5733693Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.5733752Z args.clear() 2022-11-23T01:37:54.5733883Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (1,), False, (0,), 4) 2022-11-23T01:37:54.5733993Z assert_size_stride(buf0, (1, 128, 110), (14080, 110, 1)) 2022-11-23T01:37:54.5734063Z del arg0_1 2022-11-23T01:37:54.5734133Z del arg1_1 2022-11-23T01:37:54.5734198Z del arg7_1 2022-11-23T01:37:54.5734269Z return (buf0, ) 2022-11-23T01:37:54.5734273Z 2022-11-23T01:37:54.5734277Z 2022-11-23T01:37:54.5734352Z if __name__ == "__main__": 2022-11-23T01:37:54.5734453Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5734575Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5734788Z arg0_1 = rand_strided((128, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5734990Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5735189Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5735384Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5735580Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5735756Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5735936Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.5736146Z arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5736301Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.5736306Z 2022-11-23T01:37:54.5736310Z 2022-11-23T01:37:54.5736404Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5736477Z import torch 2022-11-23T01:37:54.5736548Z import random 2022-11-23T01:37:54.5736664Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5736773Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5736792Z 2022-11-23T01:37:54.5736857Z aten = torch.ops.aten 2022-11-23T01:37:54.5737026Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5737120Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5737125Z 2022-11-23T01:37:54.5737129Z 2022-11-23T01:37:54.5737216Z async_compile.wait(globals()) 2022-11-23T01:37:54.5737288Z del async_compile 2022-11-23T01:37:54.5737293Z 2022-11-23T01:37:54.5737362Z def call(args): 2022-11-23T01:37:54.5737482Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.5737554Z args.clear() 2022-11-23T01:37:54.5737671Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 1) 2022-11-23T01:37:54.5737811Z assert_size_stride(buf0, (1, 32, 108), (3456, 108, 1)) 2022-11-23T01:37:54.5737881Z del arg0_1 2022-11-23T01:37:54.5737947Z del arg1_1 2022-11-23T01:37:54.5738014Z del arg7_1 2022-11-23T01:37:54.5738087Z return (buf0, ) 2022-11-23T01:37:54.5738093Z 2022-11-23T01:37:54.5738097Z 2022-11-23T01:37:54.5738174Z if __name__ == "__main__": 2022-11-23T01:37:54.5738277Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5738399Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5738611Z arg0_1 = rand_strided((32, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5739077Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5739282Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5739476Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5739668Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5739863Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5740031Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.5740242Z arg7_1 = rand_strided((1, 3, 112), (336, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5740403Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.5740409Z 2022-11-23T01:37:54.5740413Z 2022-11-23T01:37:54.5740510Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5740580Z import torch 2022-11-23T01:37:54.5740654Z import random 2022-11-23T01:37:54.5740773Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5740895Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5740900Z 2022-11-23T01:37:54.5740965Z aten = torch.ops.aten 2022-11-23T01:37:54.5741099Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5741194Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5741199Z 2022-11-23T01:37:54.5741203Z 2022-11-23T01:37:54.5741295Z async_compile.wait(globals()) 2022-11-23T01:37:54.5741369Z del async_compile 2022-11-23T01:37:54.5741374Z 2022-11-23T01:37:54.5741445Z def call(args): 2022-11-23T01:37:54.5741566Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.5741637Z args.clear() 2022-11-23T01:37:54.5741754Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1,), (0,), (2,), False, (0,), 4) 2022-11-23T01:37:54.5741863Z assert_size_stride(buf0, (1, 128, 108), (13824, 108, 1)) 2022-11-23T01:37:54.5741931Z del arg0_1 2022-11-23T01:37:54.5741999Z del arg1_1 2022-11-23T01:37:54.5742066Z del arg7_1 2022-11-23T01:37:54.5742139Z return (buf0, ) 2022-11-23T01:37:54.5742144Z 2022-11-23T01:37:54.5742148Z 2022-11-23T01:37:54.5742224Z if __name__ == "__main__": 2022-11-23T01:37:54.5742324Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5742448Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5742658Z arg0_1 = rand_strided((128, 3, 3), (9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5742857Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5743140Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5743369Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5743639Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5743834Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5744045Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.5744287Z arg7_1 = rand_strided((1, 12, 112), (1344, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5744444Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.5744540Z 2022-11-23T01:37:54.5744545Z 2022-11-23T01:37:54.5744641Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5744711Z import torch 2022-11-23T01:37:54.5744782Z import random 2022-11-23T01:37:54.5744899Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5745025Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5745030Z 2022-11-23T01:37:54.5745094Z aten = torch.ops.aten 2022-11-23T01:37:54.5745228Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5745320Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5745325Z 2022-11-23T01:37:54.5745329Z 2022-11-23T01:37:54.5745415Z async_compile.wait(globals()) 2022-11-23T01:37:54.5745489Z del async_compile 2022-11-23T01:37:54.5745494Z 2022-11-23T01:37:54.5745573Z def call(args): 2022-11-23T01:37:54.5745695Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.5745770Z args.clear() 2022-11-23T01:37:54.5745893Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 1) 2022-11-23T01:37:54.5746006Z assert_size_stride(buf0, (1, 32, 112, 112), (401408, 12544, 112, 1)) 2022-11-23T01:37:54.5746074Z del arg0_1 2022-11-23T01:37:54.5746141Z del arg1_1 2022-11-23T01:37:54.5746206Z del arg7_1 2022-11-23T01:37:54.5746279Z return (buf0, ) 2022-11-23T01:37:54.5746284Z 2022-11-23T01:37:54.5746287Z 2022-11-23T01:37:54.5746364Z if __name__ == "__main__": 2022-11-23T01:37:54.5746476Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5746586Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5746805Z arg0_1 = rand_strided((32, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5747002Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5747199Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5747394Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5747583Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5747772Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5747959Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.5748247Z arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5748410Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.5748415Z 2022-11-23T01:37:54.5748419Z 2022-11-23T01:37:54.5748516Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5748588Z import torch 2022-11-23T01:37:54.5748659Z import random 2022-11-23T01:37:54.5748774Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5748900Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5748904Z 2022-11-23T01:37:54.5748984Z aten = torch.ops.aten 2022-11-23T01:37:54.5749104Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5749195Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5749200Z 2022-11-23T01:37:54.5749204Z 2022-11-23T01:37:54.5749329Z async_compile.wait(globals()) 2022-11-23T01:37:54.5749407Z del async_compile 2022-11-23T01:37:54.5749411Z 2022-11-23T01:37:54.5749487Z def call(args): 2022-11-23T01:37:54.5749608Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.5749678Z args.clear() 2022-11-23T01:37:54.5749815Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 1) 2022-11-23T01:37:54.5749916Z assert_size_stride(buf0, (1, 32, 112, 112), (401408, 1, 3584, 32)) 2022-11-23T01:37:54.5749984Z del arg0_1 2022-11-23T01:37:54.5750053Z del arg1_1 2022-11-23T01:37:54.5750151Z del arg7_1 2022-11-23T01:37:54.5750223Z return (buf0, ) 2022-11-23T01:37:54.5750228Z 2022-11-23T01:37:54.5750232Z 2022-11-23T01:37:54.5750307Z if __name__ == "__main__": 2022-11-23T01:37:54.5750420Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5750530Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5750754Z arg0_1 = rand_strided((32, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5750953Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5751150Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5751341Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5751533Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5751725Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5751908Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.5752121Z arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5752278Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.5752663Z [2022-11-23 01:30:44,983] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5p/c5prxerzath5veg7zvjocivp2rmk5qlzyrvbpy3lfr2hcvfquhzd.py 2022-11-23T01:37:54.5752935Z [2022-11-23 01:30:44,983] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 81 2022-11-23T01:37:54.5753178Z [2022-11-23 01:30:45,000] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5753452Z [2022-11-23 01:30:45,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5753668Z [2022-11-23 01:30:45,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5753923Z [2022-11-23 01:30:45,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.5754204Z [2022-11-23 01:30:45,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.5754525Z [2022-11-23 01:30:45,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5754775Z [2022-11-23 01:30:45,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.5755012Z [2022-11-23 01:30:45,016] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5755267Z [2022-11-23 01:30:45,017] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5755520Z [2022-11-23 01:30:45,037] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5755700Z [2022-11-23 01:30:45,037] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5755836Z __compiled_fn_83 .647 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5755925Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5756023Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.5756159Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.5756165Z 2022-11-23T01:37:54.5756446Z [2022-11-23 01:30:45,037] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5756539Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5756631Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5756711Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5756799Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5756874Z 8 RETURN_VALUE 2022-11-23T01:37:54.5756879Z 2022-11-23T01:37:54.5756989Z 2022-11-23T01:37:54.5757265Z [2022-11-23 01:30:45,038] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5757372Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_83) 2022-11-23T01:37:54.5757460Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5757550Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5757616Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5757703Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5757792Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.5757867Z 12 RETURN_VALUE 2022-11-23T01:37:54.5757872Z 2022-11-23T01:37:54.5757934Z 2022-11-23T01:37:54.5758121Z [2022-11-23 01:30:45,038] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5758194Z - 2022-11-23T01:37:54.5758303Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5758368Z { 2022-11-23T01:37:54.5758516Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5758712Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5758836Z 'obj_weakref': None 2022-11-23T01:37:54.5759064Z 'guarded_class': 2022-11-23T01:37:54.5759130Z } 2022-11-23T01:37:54.5759185Z 2022-11-23T01:37:54.5759257Z - 2022-11-23T01:37:54.5759385Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5759448Z { 2022-11-23T01:37:54.5759597Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5759710Z 'code': None, 2022-11-23T01:37:54.5759928Z 'obj_weakref': 2022-11-23T01:37:54.5760174Z 'guarded_class': 2022-11-23T01:37:54.5760239Z } 2022-11-23T01:37:54.5760308Z 2022-11-23T01:37:54.5760383Z - 2022-11-23T01:37:54.5760506Z local 'model' NN_MODULE 2022-11-23T01:37:54.5760572Z { 2022-11-23T01:37:54.5760709Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5760867Z 'code': ['___check_obj_id(model, 140538739832144)'], 2022-11-23T01:37:54.5761090Z 'obj_weakref': 2022-11-23T01:37:54.5761334Z 'guarded_class': 2022-11-23T01:37:54.5761399Z } 2022-11-23T01:37:54.5761463Z 2022-11-23T01:37:54.5761536Z - 2022-11-23T01:37:54.5761661Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5761711Z { 2022-11-23T01:37:54.5761849Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5762071Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5762198Z 'obj_weakref': None 2022-11-23T01:37:54.5762423Z 'guarded_class': 2022-11-23T01:37:54.5762489Z } 2022-11-23T01:37:54.5762552Z 2022-11-23T01:37:54.5762611Z - 2022-11-23T01:37:54.5762762Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.5762859Z { 2022-11-23T01:37:54.5762986Z 'guard_types': None, 2022-11-23T01:37:54.5763098Z 'code': None, 2022-11-23T01:37:54.5763218Z 'obj_weakref': None 2022-11-23T01:37:54.5763344Z 'guarded_class': None 2022-11-23T01:37:54.5763394Z } 2022-11-23T01:37:54.5763456Z 2022-11-23T01:37:54.5763529Z - 2022-11-23T01:37:54.5763677Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.5763742Z { 2022-11-23T01:37:54.5763864Z 'guard_types': None, 2022-11-23T01:37:54.5763991Z 'code': None, 2022-11-23T01:37:54.5764112Z 'obj_weakref': None 2022-11-23T01:37:54.5764233Z 'guarded_class': None 2022-11-23T01:37:54.5764297Z } 2022-11-23T01:37:54.5764360Z 2022-11-23T01:37:54.5764624Z [2022-11-23 01:30:45,048] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 82 2022-11-23T01:37:54.5765004Z [2022-11-23 01:30:45,054] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/or/corlpjgxuxz6dsfs7yuccyybs2nj6kku2ewgi6byzmvph5fzxc2k.py 2022-11-23T01:37:54.5765269Z [2022-11-23 01:30:45,054] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 82 2022-11-23T01:37:54.5765496Z [2022-11-23 01:30:45,139] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5765769Z [2022-11-23 01:30:45,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5765990Z [2022-11-23 01:30:45,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5766235Z [2022-11-23 01:30:45,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.5766516Z [2022-11-23 01:30:45,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.5766927Z [2022-11-23 01:30:45,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5767221Z [2022-11-23 01:30:45,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.5767475Z [2022-11-23 01:30:45,155] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5767731Z [2022-11-23 01:30:45,156] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5767982Z [2022-11-23 01:30:45,174] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5768163Z [2022-11-23 01:30:45,174] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5768300Z __compiled_fn_84 .658 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5768392Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5768493Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.5768593Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.5768599Z 2022-11-23T01:37:54.5768880Z [2022-11-23 01:30:45,175] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5768973Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5769063Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5769142Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5769230Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5769308Z 8 RETURN_VALUE 2022-11-23T01:37:54.5769313Z 2022-11-23T01:37:54.5769373Z 2022-11-23T01:37:54.5769649Z [2022-11-23 01:30:45,175] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5769755Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_84) 2022-11-23T01:37:54.5769881Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5769960Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5770036Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5770123Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5770214Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.5770289Z 12 RETURN_VALUE 2022-11-23T01:37:54.5770294Z 2022-11-23T01:37:54.5770351Z 2022-11-23T01:37:54.5770539Z [2022-11-23 01:30:45,176] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5770596Z - 2022-11-23T01:37:54.5770716Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5770815Z { 2022-11-23T01:37:54.5770960Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5771148Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5771270Z 'obj_weakref': None 2022-11-23T01:37:54.5771499Z 'guarded_class': 2022-11-23T01:37:54.5771563Z } 2022-11-23T01:37:54.5771613Z 2022-11-23T01:37:54.5771681Z - 2022-11-23T01:37:54.5771806Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5771871Z { 2022-11-23T01:37:54.5772015Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5772124Z 'code': None, 2022-11-23T01:37:54.5772328Z 'obj_weakref': 2022-11-23T01:37:54.5772589Z 'guarded_class': 2022-11-23T01:37:54.5772657Z } 2022-11-23T01:37:54.5772719Z 2022-11-23T01:37:54.5772788Z - 2022-11-23T01:37:54.5772908Z local 'model' NN_MODULE 2022-11-23T01:37:54.5772970Z { 2022-11-23T01:37:54.5773094Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5773267Z 'code': ['___check_obj_id(model, 140538739832144)'], 2022-11-23T01:37:54.5773491Z 'obj_weakref': 2022-11-23T01:37:54.5773729Z 'guarded_class': 2022-11-23T01:37:54.5773793Z } 2022-11-23T01:37:54.5773857Z 2022-11-23T01:37:54.5773926Z - 2022-11-23T01:37:54.5774037Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5774099Z { 2022-11-23T01:37:54.5774237Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5774459Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5774582Z 'obj_weakref': None 2022-11-23T01:37:54.5774803Z 'guarded_class': 2022-11-23T01:37:54.5774865Z } 2022-11-23T01:37:54.5774927Z 2022-11-23T01:37:54.5774984Z - 2022-11-23T01:37:54.5775134Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.5775196Z { 2022-11-23T01:37:54.5775317Z 'guard_types': None, 2022-11-23T01:37:54.5775426Z 'code': None, 2022-11-23T01:37:54.5775547Z 'obj_weakref': None 2022-11-23T01:37:54.5775657Z 'guarded_class': None 2022-11-23T01:37:54.5775719Z } 2022-11-23T01:37:54.5775782Z 2022-11-23T01:37:54.5775850Z - 2022-11-23T01:37:54.5775996Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.5776058Z { 2022-11-23T01:37:54.5776185Z 'guard_types': None, 2022-11-23T01:37:54.5776282Z 'code': None, 2022-11-23T01:37:54.5776399Z 'obj_weakref': None 2022-11-23T01:37:54.5776521Z 'guarded_class': None 2022-11-23T01:37:54.5776583Z } 2022-11-23T01:37:54.5776643Z 2022-11-23T01:37:54.5776941Z [2022-11-23 01:30:45,185] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 83 2022-11-23T01:37:54.5777314Z [2022-11-23 01:30:45,191] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ij/cijnfux3uansbazibtw345rwikdm4tlxknsq7f4h3gzzzyxnzqeu.py 2022-11-23T01:37:54.5777570Z [2022-11-23 01:30:45,191] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 83 2022-11-23T01:37:54.5777812Z [2022-11-23 01:30:45,271] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5778080Z [2022-11-23 01:30:45,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5778340Z [2022-11-23 01:30:45,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5778587Z [2022-11-23 01:30:45,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.5779085Z [2022-11-23 01:30:45,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.5779419Z [2022-11-23 01:30:45,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5779669Z [2022-11-23 01:30:45,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.5779909Z [2022-11-23 01:30:45,286] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5780164Z [2022-11-23 01:30:45,286] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5780406Z [2022-11-23 01:30:45,303] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5780596Z [2022-11-23 01:30:45,303] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5780731Z __compiled_fn_85 .669 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5780823Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5780922Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.5781022Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.5781028Z 2022-11-23T01:37:54.5781307Z [2022-11-23 01:30:45,304] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5781402Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5781481Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5781572Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5781666Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5781742Z 8 RETURN_VALUE 2022-11-23T01:37:54.5781748Z 2022-11-23T01:37:54.5781808Z 2022-11-23T01:37:54.5782083Z [2022-11-23 01:30:45,304] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5782193Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_85) 2022-11-23T01:37:54.5782282Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5782360Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5782435Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5782521Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5782613Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.5782688Z 12 RETURN_VALUE 2022-11-23T01:37:54.5782694Z 2022-11-23T01:37:54.5782752Z 2022-11-23T01:37:54.5782938Z [2022-11-23 01:30:45,305] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5782999Z - 2022-11-23T01:37:54.5783126Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5783191Z { 2022-11-23T01:37:54.5783334Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5783522Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5783644Z 'obj_weakref': None 2022-11-23T01:37:54.5783938Z 'guarded_class': 2022-11-23T01:37:54.5783994Z } 2022-11-23T01:37:54.5784058Z 2022-11-23T01:37:54.5784131Z - 2022-11-23T01:37:54.5784259Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5784323Z { 2022-11-23T01:37:54.5784468Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5784579Z 'code': None, 2022-11-23T01:37:54.5784781Z 'obj_weakref': 2022-11-23T01:37:54.5785035Z 'guarded_class': 2022-11-23T01:37:54.5785142Z } 2022-11-23T01:37:54.5785205Z 2022-11-23T01:37:54.5785276Z - 2022-11-23T01:37:54.5785400Z local 'model' NN_MODULE 2022-11-23T01:37:54.5785466Z { 2022-11-23T01:37:54.5785589Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5785763Z 'code': ['___check_obj_id(model, 140538742611920)'], 2022-11-23T01:37:54.5785988Z 'obj_weakref': 2022-11-23T01:37:54.5786229Z 'guarded_class': 2022-11-23T01:37:54.5786294Z } 2022-11-23T01:37:54.5786355Z 2022-11-23T01:37:54.5786426Z - 2022-11-23T01:37:54.5786538Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5786602Z { 2022-11-23T01:37:54.5786740Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5786963Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5787085Z 'obj_weakref': None 2022-11-23T01:37:54.5787308Z 'guarded_class': 2022-11-23T01:37:54.5787371Z } 2022-11-23T01:37:54.5787423Z 2022-11-23T01:37:54.5787493Z - 2022-11-23T01:37:54.5787640Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.5787702Z { 2022-11-23T01:37:54.5787823Z 'guard_types': None, 2022-11-23T01:37:54.5787930Z 'code': None, 2022-11-23T01:37:54.5788048Z 'obj_weakref': None 2022-11-23T01:37:54.5788240Z 'guarded_class': None 2022-11-23T01:37:54.5788307Z } 2022-11-23T01:37:54.5788369Z 2022-11-23T01:37:54.5788441Z - 2022-11-23T01:37:54.5788593Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.5788662Z { 2022-11-23T01:37:54.5788771Z 'guard_types': None, 2022-11-23T01:37:54.5788878Z 'code': None, 2022-11-23T01:37:54.5788996Z 'obj_weakref': None 2022-11-23T01:37:54.5789118Z 'guarded_class': None 2022-11-23T01:37:54.5789182Z } 2022-11-23T01:37:54.5789244Z 2022-11-23T01:37:54.5789508Z [2022-11-23 01:30:45,314] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 84 2022-11-23T01:37:54.5789884Z [2022-11-23 01:30:45,319] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/m7/cm72mgnroaydldfhwsnwrfwyqmzgsgmpxazzx54i4symsnfd7j2s.py 2022-11-23T01:37:54.5790137Z [2022-11-23 01:30:45,320] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 84 2022-11-23T01:37:54.5790377Z [2022-11-23 01:30:45,333] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5790651Z [2022-11-23 01:30:45,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5790873Z [2022-11-23 01:30:45,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5791122Z [2022-11-23 01:30:45,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.5791436Z [2022-11-23 01:30:45,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.5791757Z [2022-11-23 01:30:45,333] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5792007Z [2022-11-23 01:30:45,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.5792246Z [2022-11-23 01:30:45,348] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5792491Z [2022-11-23 01:30:45,349] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5792778Z [2022-11-23 01:30:45,365] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5792969Z [2022-11-23 01:30:45,366] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5793105Z __compiled_fn_86 .680 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5793194Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5793291Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.5793389Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.5793394Z 2022-11-23T01:37:54.5793677Z [2022-11-23 01:30:45,366] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5793759Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5793851Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5793943Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5794035Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5794110Z 8 RETURN_VALUE 2022-11-23T01:37:54.5794115Z 2022-11-23T01:37:54.5794176Z 2022-11-23T01:37:54.5794453Z [2022-11-23 01:30:45,366] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5794562Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_86) 2022-11-23T01:37:54.5794640Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5794728Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5794803Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5794890Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5794980Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.5795053Z 12 RETURN_VALUE 2022-11-23T01:37:54.5795058Z 2022-11-23T01:37:54.5795117Z 2022-11-23T01:37:54.5795291Z [2022-11-23 01:30:45,367] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5795366Z - 2022-11-23T01:37:54.5795487Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5795553Z { 2022-11-23T01:37:54.5795695Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5795885Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5796010Z 'obj_weakref': None 2022-11-23T01:37:54.5796223Z 'guarded_class': 2022-11-23T01:37:54.5796287Z } 2022-11-23T01:37:54.5796350Z 2022-11-23T01:37:54.5796421Z - 2022-11-23T01:37:54.5796546Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5796609Z { 2022-11-23T01:37:54.5796754Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5796850Z 'code': None, 2022-11-23T01:37:54.5797066Z 'obj_weakref': 2022-11-23T01:37:54.5797325Z 'guarded_class': 2022-11-23T01:37:54.5797387Z } 2022-11-23T01:37:54.5797449Z 2022-11-23T01:37:54.5797520Z - 2022-11-23T01:37:54.5797643Z local 'model' NN_MODULE 2022-11-23T01:37:54.5797692Z { 2022-11-23T01:37:54.5797856Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5798030Z 'code': ['___check_obj_id(model, 140538742611920)'], 2022-11-23T01:37:54.5798253Z 'obj_weakref': 2022-11-23T01:37:54.5798493Z 'guarded_class': 2022-11-23T01:37:54.5798559Z } 2022-11-23T01:37:54.5798622Z 2022-11-23T01:37:54.5798680Z - 2022-11-23T01:37:54.5798806Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5798871Z { 2022-11-23T01:37:54.5799049Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5799272Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5799398Z 'obj_weakref': None 2022-11-23T01:37:54.5799627Z 'guarded_class': 2022-11-23T01:37:54.5799692Z } 2022-11-23T01:37:54.5799743Z 2022-11-23T01:37:54.5799816Z - 2022-11-23T01:37:54.5799967Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.5800031Z { 2022-11-23T01:37:54.5800154Z 'guard_types': None, 2022-11-23T01:37:54.5800265Z 'code': None, 2022-11-23T01:37:54.5800372Z 'obj_weakref': None 2022-11-23T01:37:54.5800497Z 'guarded_class': None 2022-11-23T01:37:54.5800563Z } 2022-11-23T01:37:54.5800626Z 2022-11-23T01:37:54.5800699Z - 2022-11-23T01:37:54.5800855Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.5800920Z { 2022-11-23T01:37:54.5801028Z 'guard_types': None, 2022-11-23T01:37:54.5801137Z 'code': None, 2022-11-23T01:37:54.5801261Z 'obj_weakref': None 2022-11-23T01:37:54.5801386Z 'guarded_class': None 2022-11-23T01:37:54.5801453Z } 2022-11-23T01:37:54.5801517Z 2022-11-23T01:37:54.5801780Z [2022-11-23 01:30:45,378] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 85 2022-11-23T01:37:54.5802135Z [2022-11-23 01:30:45,383] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/d5/cd5hne224xqpmbz2iwctwmn3ftlihzfntp675knd3uggo3gsrfrp.py 2022-11-23T01:37:54.5802404Z [2022-11-23 01:30:45,383] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 85 2022-11-23T01:37:54.5802646Z [2022-11-23 01:30:45,399] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5802920Z [2022-11-23 01:30:45,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5803142Z [2022-11-23 01:30:45,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5803392Z [2022-11-23 01:30:45,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.5803674Z [2022-11-23 01:30:45,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.5803994Z [2022-11-23 01:30:45,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5804248Z [2022-11-23 01:30:45,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.5804473Z [2022-11-23 01:30:45,414] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5804734Z [2022-11-23 01:30:45,415] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5804985Z [2022-11-23 01:30:45,433] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5805212Z [2022-11-23 01:30:45,433] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5805350Z __compiled_fn_87 .691 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5805439Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5805539Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.5805638Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.5805644Z 2022-11-23T01:37:54.5805925Z [2022-11-23 01:30:45,434] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5806007Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5806100Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5806240Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5806332Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5806411Z 8 RETURN_VALUE 2022-11-23T01:37:54.5806416Z 2022-11-23T01:37:54.5806478Z 2022-11-23T01:37:54.5806758Z [2022-11-23 01:30:45,434] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5806854Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_87) 2022-11-23T01:37:54.5806947Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5807038Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5807117Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5807204Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5807292Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.5807370Z 12 RETURN_VALUE 2022-11-23T01:37:54.5807375Z 2022-11-23T01:37:54.5807437Z 2022-11-23T01:37:54.5807609Z [2022-11-23 01:30:45,434] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5807680Z - 2022-11-23T01:37:54.5807801Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5807865Z { 2022-11-23T01:37:54.5808011Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5808203Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5808325Z 'obj_weakref': None 2022-11-23T01:37:54.5808537Z 'guarded_class': 2022-11-23T01:37:54.5808603Z } 2022-11-23T01:37:54.5808666Z 2022-11-23T01:37:54.5808737Z - 2022-11-23T01:37:54.5808864Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5808929Z { 2022-11-23T01:37:54.5809074Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5809169Z 'code': None, 2022-11-23T01:37:54.5809386Z 'obj_weakref': 2022-11-23T01:37:54.5809644Z 'guarded_class': 2022-11-23T01:37:54.5809707Z } 2022-11-23T01:37:54.5809772Z 2022-11-23T01:37:54.5809842Z - 2022-11-23T01:37:54.5809964Z local 'model' NN_MODULE 2022-11-23T01:37:54.5810015Z { 2022-11-23T01:37:54.5810151Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5810325Z 'code': ['___check_obj_id(model, 140538745533136)'], 2022-11-23T01:37:54.5810551Z 'obj_weakref': 2022-11-23T01:37:54.5810791Z 'guarded_class': 2022-11-23T01:37:54.5810854Z } 2022-11-23T01:37:54.5810916Z 2022-11-23T01:37:54.5810973Z - 2022-11-23T01:37:54.5811100Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5811163Z { 2022-11-23T01:37:54.5811304Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5811524Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5811645Z 'obj_weakref': None 2022-11-23T01:37:54.5811898Z 'guarded_class': 2022-11-23T01:37:54.5811950Z } 2022-11-23T01:37:54.5812011Z 2022-11-23T01:37:54.5812081Z - 2022-11-23T01:37:54.5812228Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.5812292Z { 2022-11-23T01:37:54.5812413Z 'guard_types': None, 2022-11-23T01:37:54.5812523Z 'code': None, 2022-11-23T01:37:54.5812630Z 'obj_weakref': None 2022-11-23T01:37:54.5812750Z 'guarded_class': None 2022-11-23T01:37:54.5812812Z } 2022-11-23T01:37:54.5812909Z 2022-11-23T01:37:54.5812980Z - 2022-11-23T01:37:54.5813129Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.5813179Z { 2022-11-23T01:37:54.5813301Z 'guard_types': None, 2022-11-23T01:37:54.5813407Z 'code': None, 2022-11-23T01:37:54.5813527Z 'obj_weakref': None 2022-11-23T01:37:54.5813655Z 'guarded_class': None 2022-11-23T01:37:54.5813719Z } 2022-11-23T01:37:54.5813782Z 2022-11-23T01:37:54.5814029Z [2022-11-23 01:30:45,444] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 86 2022-11-23T01:37:54.5814399Z [2022-11-23 01:30:45,449] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i2/ci2yxxcymttmoi3aus43srazullzlsf5zsjiog5ovwktdn2orvqr.py 2022-11-23T01:37:54.5814664Z [2022-11-23 01:30:45,449] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 86 2022-11-23T01:37:54.5814905Z [2022-11-23 01:30:45,493] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5815178Z [2022-11-23 01:30:45,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5815398Z [2022-11-23 01:30:45,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5815645Z [2022-11-23 01:30:45,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.5815926Z [2022-11-23 01:30:45,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.5816245Z [2022-11-23 01:30:45,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5816492Z [2022-11-23 01:30:45,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.5816715Z [2022-11-23 01:30:45,508] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5816971Z [2022-11-23 01:30:45,509] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5817221Z [2022-11-23 01:30:45,526] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5817415Z [2022-11-23 01:30:45,527] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5817550Z __compiled_fn_88 .702 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5817641Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5817738Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.5817835Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.5817841Z 2022-11-23T01:37:54.5818107Z [2022-11-23 01:30:45,527] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5818200Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5818294Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5818385Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5818474Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5818550Z 8 RETURN_VALUE 2022-11-23T01:37:54.5818555Z 2022-11-23T01:37:54.5818614Z 2022-11-23T01:37:54.5819153Z [2022-11-23 01:30:45,527] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5819258Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_88) 2022-11-23T01:37:54.5819345Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5819434Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5819512Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5819599Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5819688Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.5819763Z 12 RETURN_VALUE 2022-11-23T01:37:54.5819806Z 2022-11-23T01:37:54.5819853Z 2022-11-23T01:37:54.5820048Z [2022-11-23 01:30:45,528] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5820117Z - 2022-11-23T01:37:54.5820238Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5820301Z { 2022-11-23T01:37:54.5820443Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5820635Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5820744Z 'obj_weakref': None 2022-11-23T01:37:54.5820967Z 'guarded_class': 2022-11-23T01:37:54.5821031Z } 2022-11-23T01:37:54.5821094Z 2022-11-23T01:37:54.5821163Z - 2022-11-23T01:37:54.5821291Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5821352Z { 2022-11-23T01:37:54.5821485Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5821598Z 'code': None, 2022-11-23T01:37:54.5821816Z 'obj_weakref': 2022-11-23T01:37:54.5822074Z 'guarded_class': 2022-11-23T01:37:54.5822139Z } 2022-11-23T01:37:54.5822204Z 2022-11-23T01:37:54.5822277Z - 2022-11-23T01:37:54.5822387Z local 'model' NN_MODULE 2022-11-23T01:37:54.5822451Z { 2022-11-23T01:37:54.5822585Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5822756Z 'code': ['___check_obj_id(model, 140538745533136)'], 2022-11-23T01:37:54.5822979Z 'obj_weakref': 2022-11-23T01:37:54.5823218Z 'guarded_class': 2022-11-23T01:37:54.5823282Z } 2022-11-23T01:37:54.5823332Z 2022-11-23T01:37:54.5823404Z - 2022-11-23T01:37:54.5823527Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5823589Z { 2022-11-23T01:37:54.5823725Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5823947Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5824069Z 'obj_weakref': None 2022-11-23T01:37:54.5824275Z 'guarded_class': 2022-11-23T01:37:54.5824338Z } 2022-11-23T01:37:54.5824401Z 2022-11-23T01:37:54.5824472Z - 2022-11-23T01:37:54.5824620Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.5824683Z { 2022-11-23T01:37:54.5824805Z 'guard_types': None, 2022-11-23T01:37:54.5824900Z 'code': None, 2022-11-23T01:37:54.5825018Z 'obj_weakref': None 2022-11-23T01:37:54.5825140Z 'guarded_class': None 2022-11-23T01:37:54.5825203Z } 2022-11-23T01:37:54.5825265Z 2022-11-23T01:37:54.5825335Z - 2022-11-23T01:37:54.5825480Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.5825532Z { 2022-11-23T01:37:54.5825652Z 'guard_types': None, 2022-11-23T01:37:54.5825759Z 'code': None, 2022-11-23T01:37:54.5825909Z 'obj_weakref': None 2022-11-23T01:37:54.5826034Z 'guarded_class': None 2022-11-23T01:37:54.5826096Z } 2022-11-23T01:37:54.5826156Z 2022-11-23T01:37:54.5826404Z [2022-11-23 01:30:45,537] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 87 2022-11-23T01:37:54.5826409Z 2022-11-23T01:37:54.5826413Z 2022-11-23T01:37:54.5826506Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5826574Z import torch 2022-11-23T01:37:54.5826640Z import random 2022-11-23T01:37:54.5826754Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5826908Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5826913Z 2022-11-23T01:37:54.5826990Z aten = torch.ops.aten 2022-11-23T01:37:54.5827123Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5827203Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5827207Z 2022-11-23T01:37:54.5827212Z 2022-11-23T01:37:54.5827300Z async_compile.wait(globals()) 2022-11-23T01:37:54.5827371Z del async_compile 2022-11-23T01:37:54.5827376Z 2022-11-23T01:37:54.5827444Z def call(args): 2022-11-23T01:37:54.5827562Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.5827631Z args.clear() 2022-11-23T01:37:54.5827764Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 4) 2022-11-23T01:37:54.5827877Z assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 12544, 112, 1)) 2022-11-23T01:37:54.5827933Z del arg0_1 2022-11-23T01:37:54.5827999Z del arg1_1 2022-11-23T01:37:54.5828068Z del arg7_1 2022-11-23T01:37:54.5828210Z return (buf0, ) 2022-11-23T01:37:54.5828216Z 2022-11-23T01:37:54.5828220Z 2022-11-23T01:37:54.5828299Z if __name__ == "__main__": 2022-11-23T01:37:54.5828414Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5828538Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5828746Z arg0_1 = rand_strided((128, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5828952Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5829150Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5829343Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5829535Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5829726Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5829911Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.5830144Z arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5830290Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.5830307Z 2022-11-23T01:37:54.5830314Z 2022-11-23T01:37:54.5830396Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5830465Z import torch 2022-11-23T01:37:54.5830537Z import random 2022-11-23T01:37:54.5830652Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5830774Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5830779Z 2022-11-23T01:37:54.5830856Z aten = torch.ops.aten 2022-11-23T01:37:54.5830989Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5831067Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5831072Z 2022-11-23T01:37:54.5831090Z 2022-11-23T01:37:54.5831165Z async_compile.wait(globals()) 2022-11-23T01:37:54.5831236Z del async_compile 2022-11-23T01:37:54.5831240Z 2022-11-23T01:37:54.5831308Z def call(args): 2022-11-23T01:37:54.5831426Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.5831497Z args.clear() 2022-11-23T01:37:54.5831666Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 4) 2022-11-23T01:37:54.5831780Z assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 1, 14336, 128)) 2022-11-23T01:37:54.5831835Z del arg0_1 2022-11-23T01:37:54.5831900Z del arg1_1 2022-11-23T01:37:54.5831963Z del arg7_1 2022-11-23T01:37:54.5832035Z return (buf0, ) 2022-11-23T01:37:54.5832040Z 2022-11-23T01:37:54.5832044Z 2022-11-23T01:37:54.5832119Z if __name__ == "__main__": 2022-11-23T01:37:54.5832231Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5832351Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5832587Z arg0_1 = rand_strided((128, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5832783Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5832978Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5833178Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5833372Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5833561Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5833743Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.5833970Z arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5834123Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.5834131Z 2022-11-23T01:37:54.5834135Z 2022-11-23T01:37:54.5834216Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5834285Z import torch 2022-11-23T01:37:54.5834355Z import random 2022-11-23T01:37:54.5834470Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5834591Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5834595Z 2022-11-23T01:37:54.5834673Z aten = torch.ops.aten 2022-11-23T01:37:54.5834806Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5834895Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5834900Z 2022-11-23T01:37:54.5834904Z 2022-11-23T01:37:54.5834978Z async_compile.wait(globals()) 2022-11-23T01:37:54.5835047Z del async_compile 2022-11-23T01:37:54.5835052Z 2022-11-23T01:37:54.5835122Z def call(args): 2022-11-23T01:37:54.5835238Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.5835308Z args.clear() 2022-11-23T01:37:54.5835440Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 1) 2022-11-23T01:37:54.5835554Z assert_size_stride(buf0, (1, 32, 112, 112), (401408, 12544, 112, 1)) 2022-11-23T01:37:54.5835608Z del arg0_1 2022-11-23T01:37:54.5835676Z del arg1_1 2022-11-23T01:37:54.5835741Z del arg7_1 2022-11-23T01:37:54.5835812Z return (buf0, ) 2022-11-23T01:37:54.5835817Z 2022-11-23T01:37:54.5835823Z 2022-11-23T01:37:54.5835897Z if __name__ == "__main__": 2022-11-23T01:37:54.5836009Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5836130Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5836342Z arg0_1 = rand_strided((32, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5836524Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5836715Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5836905Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5837096Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5837283Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5837466Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.5837727Z arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5837887Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.5837892Z 2022-11-23T01:37:54.5837896Z 2022-11-23T01:37:54.5837993Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5838051Z import torch 2022-11-23T01:37:54.5838121Z import random 2022-11-23T01:37:54.5838239Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5838362Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5838367Z 2022-11-23T01:37:54.5838476Z aten = torch.ops.aten 2022-11-23T01:37:54.5838610Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5838702Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5838707Z 2022-11-23T01:37:54.5838712Z 2022-11-23T01:37:54.5838800Z async_compile.wait(globals()) 2022-11-23T01:37:54.5838862Z del async_compile 2022-11-23T01:37:54.5838866Z 2022-11-23T01:37:54.5838939Z def call(args): 2022-11-23T01:37:54.5839058Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.5839130Z args.clear() 2022-11-23T01:37:54.5839265Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 1) 2022-11-23T01:37:54.5839380Z assert_size_stride(buf0, (1, 32, 112, 112), (401408, 1, 3584, 32)) 2022-11-23T01:37:54.5839453Z del arg0_1 2022-11-23T01:37:54.5839507Z del arg1_1 2022-11-23T01:37:54.5839573Z del arg7_1 2022-11-23T01:37:54.5839647Z return (buf0, ) 2022-11-23T01:37:54.5839654Z 2022-11-23T01:37:54.5839658Z 2022-11-23T01:37:54.5839734Z if __name__ == "__main__": 2022-11-23T01:37:54.5839853Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5839975Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5840191Z arg0_1 = rand_strided((32, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5840391Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5840571Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5840762Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5840952Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5841143Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5841326Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.5841553Z arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5841708Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.5841713Z 2022-11-23T01:37:54.5841718Z 2022-11-23T01:37:54.5841812Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5841869Z import torch 2022-11-23T01:37:54.5841942Z import random 2022-11-23T01:37:54.5842058Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5842179Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5842184Z 2022-11-23T01:37:54.5842263Z aten = torch.ops.aten 2022-11-23T01:37:54.5842397Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5842489Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5842494Z 2022-11-23T01:37:54.5842498Z 2022-11-23T01:37:54.5842585Z async_compile.wait(globals()) 2022-11-23T01:37:54.5842644Z del async_compile 2022-11-23T01:37:54.5842651Z 2022-11-23T01:37:54.5842722Z def call(args): 2022-11-23T01:37:54.5842841Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.5842913Z args.clear() 2022-11-23T01:37:54.5843046Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 4) 2022-11-23T01:37:54.5843193Z assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 12544, 112, 1)) 2022-11-23T01:37:54.5843265Z del arg0_1 2022-11-23T01:37:54.5843319Z del arg1_1 2022-11-23T01:37:54.5843382Z del arg7_1 2022-11-23T01:37:54.5843454Z return (buf0, ) 2022-11-23T01:37:54.5843459Z 2022-11-23T01:37:54.5843463Z 2022-11-23T01:37:54.5843537Z if __name__ == "__main__": 2022-11-23T01:37:54.5843650Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5843771Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5843986Z arg0_1 = rand_strided((128, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5844217Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5844400Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5844593Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5844787Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5844977Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5845160Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.5845387Z arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5845541Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.5845547Z 2022-11-23T01:37:54.5845551Z 2022-11-23T01:37:54.5845644Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5845714Z import torch 2022-11-23T01:37:54.5845771Z import random 2022-11-23T01:37:54.5845884Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5846010Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5846014Z 2022-11-23T01:37:54.5846090Z aten = torch.ops.aten 2022-11-23T01:37:54.5846220Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5846312Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5846317Z 2022-11-23T01:37:54.5846321Z 2022-11-23T01:37:54.5846408Z async_compile.wait(globals()) 2022-11-23T01:37:54.5846466Z del async_compile 2022-11-23T01:37:54.5846482Z 2022-11-23T01:37:54.5846538Z def call(args): 2022-11-23T01:37:54.5846653Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.5846724Z args.clear() 2022-11-23T01:37:54.5846857Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 4) 2022-11-23T01:37:54.5846968Z assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 1, 14336, 128)) 2022-11-23T01:37:54.5847034Z del arg0_1 2022-11-23T01:37:54.5847100Z del arg1_1 2022-11-23T01:37:54.5847152Z del arg7_1 2022-11-23T01:37:54.5847222Z return (buf0, ) 2022-11-23T01:37:54.5847228Z 2022-11-23T01:37:54.5847232Z 2022-11-23T01:37:54.5847304Z if __name__ == "__main__": 2022-11-23T01:37:54.5847418Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5847539Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5847755Z arg0_1 = rand_strided((128, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5847950Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5848143Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5848321Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5848510Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5848703Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5848884Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.5849110Z arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5849326Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.5849704Z [2022-11-23 01:30:45,543] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/px/cpx3xs33qdv33dvpqv2ac2ttf5hpsz7rbvfdrbfaz744dtzrdsln.py 2022-11-23T01:37:54.5849974Z [2022-11-23 01:30:45,543] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 87 2022-11-23T01:37:54.5850201Z [2022-11-23 01:30:45,584] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5850477Z [2022-11-23 01:30:45,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5850743Z [2022-11-23 01:30:45,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5850991Z [2022-11-23 01:30:45,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.5851273Z [2022-11-23 01:30:45,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.5851590Z [2022-11-23 01:30:45,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5851839Z [2022-11-23 01:30:45,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.5852075Z [2022-11-23 01:30:45,600] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5852329Z [2022-11-23 01:30:45,600] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5852584Z [2022-11-23 01:30:45,617] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5852764Z [2022-11-23 01:30:45,617] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5852899Z __compiled_fn_89 .713 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5852991Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5853089Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.5853186Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.5853192Z 2022-11-23T01:37:54.5853470Z [2022-11-23 01:30:45,617] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5853563Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5853655Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5853736Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5853827Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5853904Z 8 RETURN_VALUE 2022-11-23T01:37:54.5853909Z 2022-11-23T01:37:54.5853969Z 2022-11-23T01:37:54.5854246Z [2022-11-23 01:30:45,618] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5854357Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_89) 2022-11-23T01:37:54.5854446Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5854524Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5854599Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5854687Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5854777Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.5854852Z 12 RETURN_VALUE 2022-11-23T01:37:54.5854857Z 2022-11-23T01:37:54.5854917Z 2022-11-23T01:37:54.5855101Z [2022-11-23 01:30:45,618] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5855163Z - 2022-11-23T01:37:54.5855283Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5855348Z { 2022-11-23T01:37:54.5855491Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5855681Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5855803Z 'obj_weakref': None 2022-11-23T01:37:54.5856060Z 'guarded_class': 2022-11-23T01:37:54.5856127Z } 2022-11-23T01:37:54.5856178Z 2022-11-23T01:37:54.5856250Z - 2022-11-23T01:37:54.5856378Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5856443Z { 2022-11-23T01:37:54.5856586Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5856697Z 'code': None, 2022-11-23T01:37:54.5856901Z 'obj_weakref': 2022-11-23T01:37:54.5857188Z 'guarded_class': 2022-11-23T01:37:54.5857252Z } 2022-11-23T01:37:54.5857315Z 2022-11-23T01:37:54.5857385Z - 2022-11-23T01:37:54.5857505Z local 'model' NN_MODULE 2022-11-23T01:37:54.5857566Z { 2022-11-23T01:37:54.5857691Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5857863Z 'code': ['___check_obj_id(model, 140538741604560)'], 2022-11-23T01:37:54.5858085Z 'obj_weakref': 2022-11-23T01:37:54.5858323Z 'guarded_class': 2022-11-23T01:37:54.5858385Z } 2022-11-23T01:37:54.5858448Z 2022-11-23T01:37:54.5858517Z - 2022-11-23T01:37:54.5858628Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5858690Z { 2022-11-23T01:37:54.5859008Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5859255Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5859376Z 'obj_weakref': None 2022-11-23T01:37:54.5859599Z 'guarded_class': 2022-11-23T01:37:54.5859665Z } 2022-11-23T01:37:54.5859728Z 2022-11-23T01:37:54.5859786Z - 2022-11-23T01:37:54.5859934Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.5859997Z { 2022-11-23T01:37:54.5860119Z 'guard_types': None, 2022-11-23T01:37:54.5860229Z 'code': None, 2022-11-23T01:37:54.5860349Z 'obj_weakref': None 2022-11-23T01:37:54.5860458Z 'guarded_class': None 2022-11-23T01:37:54.5860521Z } 2022-11-23T01:37:54.5860582Z 2022-11-23T01:37:54.5860652Z - 2022-11-23T01:37:54.5860801Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.5860865Z { 2022-11-23T01:37:54.5860987Z 'guard_types': None, 2022-11-23T01:37:54.5861083Z 'code': None, 2022-11-23T01:37:54.5861201Z 'obj_weakref': None 2022-11-23T01:37:54.5861325Z 'guarded_class': None 2022-11-23T01:37:54.5861388Z } 2022-11-23T01:37:54.5861452Z 2022-11-23T01:37:54.5861714Z [2022-11-23 01:30:45,628] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 88 2022-11-23T01:37:54.5862084Z [2022-11-23 01:30:45,633] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/k6/ck6a3llsuycpro74cwmvio5agzgr3qjpmqljw63plljk2db4kgpx.py 2022-11-23T01:37:54.5862353Z [2022-11-23 01:30:45,634] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 88 2022-11-23T01:37:54.5862581Z [2022-11-23 01:30:45,646] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5862854Z [2022-11-23 01:30:45,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5863073Z [2022-11-23 01:30:45,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5863375Z [2022-11-23 01:30:45,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.5863663Z [2022-11-23 01:30:45,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.5863981Z [2022-11-23 01:30:45,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5864233Z [2022-11-23 01:30:45,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.5864473Z [2022-11-23 01:30:45,661] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5864774Z [2022-11-23 01:30:45,662] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5865013Z [2022-11-23 01:30:45,679] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5865204Z [2022-11-23 01:30:45,679] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5865342Z __compiled_fn_90 .724 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5865434Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5865534Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.5865633Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.5865638Z 2022-11-23T01:37:54.5865919Z [2022-11-23 01:30:45,680] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5866012Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5866091Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5866184Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5866274Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5866349Z 8 RETURN_VALUE 2022-11-23T01:37:54.5866354Z 2022-11-23T01:37:54.5866413Z 2022-11-23T01:37:54.5866688Z [2022-11-23 01:30:45,680] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5866796Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_90) 2022-11-23T01:37:54.5866884Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5866961Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5867036Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5867123Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5867215Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.5867289Z 12 RETURN_VALUE 2022-11-23T01:37:54.5867295Z 2022-11-23T01:37:54.5867352Z 2022-11-23T01:37:54.5867537Z [2022-11-23 01:30:45,680] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5867598Z - 2022-11-23T01:37:54.5867718Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5867786Z { 2022-11-23T01:37:54.5867928Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5868196Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5868341Z 'obj_weakref': None 2022-11-23T01:37:54.5868651Z 'guarded_class': 2022-11-23T01:37:54.5868709Z } 2022-11-23T01:37:54.5868771Z 2022-11-23T01:37:54.5868843Z - 2022-11-23T01:37:54.5869006Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5869091Z { 2022-11-23T01:37:54.5869242Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5869351Z 'code': None, 2022-11-23T01:37:54.5869555Z 'obj_weakref': 2022-11-23T01:37:54.5869814Z 'guarded_class': 2022-11-23T01:37:54.5869877Z } 2022-11-23T01:37:54.5869939Z 2022-11-23T01:37:54.5870007Z - 2022-11-23T01:37:54.5870129Z local 'model' NN_MODULE 2022-11-23T01:37:54.5870246Z { 2022-11-23T01:37:54.5870374Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5870544Z 'code': ['___check_obj_id(model, 140538741604560)'], 2022-11-23T01:37:54.5870767Z 'obj_weakref': 2022-11-23T01:37:54.5871005Z 'guarded_class': 2022-11-23T01:37:54.5871069Z } 2022-11-23T01:37:54.5871128Z 2022-11-23T01:37:54.5871198Z - 2022-11-23T01:37:54.5871310Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5871413Z { 2022-11-23T01:37:54.5871556Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5871778Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5871901Z 'obj_weakref': None 2022-11-23T01:37:54.5872128Z 'guarded_class': 2022-11-23T01:37:54.5872192Z } 2022-11-23T01:37:54.5872242Z 2022-11-23T01:37:54.5872310Z - 2022-11-23T01:37:54.5872456Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.5872519Z { 2022-11-23T01:37:54.5872641Z 'guard_types': None, 2022-11-23T01:37:54.5872749Z 'code': None, 2022-11-23T01:37:54.5872871Z 'obj_weakref': None 2022-11-23T01:37:54.5872982Z 'guarded_class': None 2022-11-23T01:37:54.5873043Z } 2022-11-23T01:37:54.5873103Z 2022-11-23T01:37:54.5873174Z - 2022-11-23T01:37:54.5873320Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.5873382Z { 2022-11-23T01:37:54.5873491Z 'guard_types': None, 2022-11-23T01:37:54.5873598Z 'code': None, 2022-11-23T01:37:54.5873716Z 'obj_weakref': None 2022-11-23T01:37:54.5873841Z 'guarded_class': None 2022-11-23T01:37:54.5873906Z } 2022-11-23T01:37:54.5873967Z 2022-11-23T01:37:54.5874229Z [2022-11-23 01:30:45,690] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 89 2022-11-23T01:37:54.5874601Z [2022-11-23 01:30:47,093] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/oq/coqflkwxoxf6l2w67ibbd2znydcusnpjb3iwshwcflyaftn4vmsp.py 2022-11-23T01:37:54.5874853Z [2022-11-23 01:30:47,094] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 89 2022-11-23T01:37:54.5875089Z [2022-11-23 01:30:47,123] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5875364Z [2022-11-23 01:30:47,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5875585Z [2022-11-23 01:30:47,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5875831Z [2022-11-23 01:30:47,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.5876110Z [2022-11-23 01:30:47,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.5876427Z [2022-11-23 01:30:47,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5876675Z [2022-11-23 01:30:47,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.5876910Z [2022-11-23 01:30:47,139] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5877156Z [2022-11-23 01:30:47,140] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5877406Z [2022-11-23 01:30:47,163] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5877625Z [2022-11-23 01:30:47,164] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5877763Z __compiled_fn_91 .735 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5877852Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5877949Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.5878056Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.5878061Z 2022-11-23T01:37:54.5878344Z [2022-11-23 01:30:47,164] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5878440Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5878550Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5878644Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5878735Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5878812Z 8 RETURN_VALUE 2022-11-23T01:37:54.5878818Z 2022-11-23T01:37:54.5878882Z 2022-11-23T01:37:54.5879167Z [2022-11-23 01:30:47,164] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5879278Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_91) 2022-11-23T01:37:54.5879355Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5879447Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5879524Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5879610Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5879701Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.5879779Z 12 RETURN_VALUE 2022-11-23T01:37:54.5879786Z 2022-11-23T01:37:54.5879849Z 2022-11-23T01:37:54.5880022Z [2022-11-23 01:30:47,165] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5880095Z - 2022-11-23T01:37:54.5880217Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5880282Z { 2022-11-23T01:37:54.5880426Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5880620Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5880745Z 'obj_weakref': None 2022-11-23T01:37:54.5880959Z 'guarded_class': 2022-11-23T01:37:54.5881026Z } 2022-11-23T01:37:54.5881090Z 2022-11-23T01:37:54.5881162Z - 2022-11-23T01:37:54.5881291Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5881356Z { 2022-11-23T01:37:54.5881502Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5881598Z 'code': None, 2022-11-23T01:37:54.5881818Z 'obj_weakref': 2022-11-23T01:37:54.5882077Z 'guarded_class': 2022-11-23T01:37:54.5882143Z } 2022-11-23T01:37:54.5882207Z 2022-11-23T01:37:54.5882280Z - 2022-11-23T01:37:54.5882409Z local 'model' NN_MODULE 2022-11-23T01:37:54.5882459Z { 2022-11-23T01:37:54.5882596Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5882771Z 'code': ['___check_obj_id(model, 140538743940368)'], 2022-11-23T01:37:54.5882999Z 'obj_weakref': 2022-11-23T01:37:54.5883239Z 'guarded_class': 2022-11-23T01:37:54.5883304Z } 2022-11-23T01:37:54.5883368Z 2022-11-23T01:37:54.5883439Z - 2022-11-23T01:37:54.5883550Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5883619Z { 2022-11-23T01:37:54.5883759Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5883983Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5884106Z 'obj_weakref': None 2022-11-23T01:37:54.5884502Z 'guarded_class': 2022-11-23T01:37:54.5884569Z } 2022-11-23T01:37:54.5884619Z 2022-11-23T01:37:54.5884690Z - 2022-11-23T01:37:54.5884839Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.5884901Z { 2022-11-23T01:37:54.5885025Z 'guard_types': None, 2022-11-23T01:37:54.5885136Z 'code': None, 2022-11-23T01:37:54.5885243Z 'obj_weakref': None 2022-11-23T01:37:54.5885367Z 'guarded_class': None 2022-11-23T01:37:54.5885466Z } 2022-11-23T01:37:54.5885528Z 2022-11-23T01:37:54.5885599Z - 2022-11-23T01:37:54.5885748Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.5885810Z { 2022-11-23T01:37:54.5885919Z 'guard_types': None, 2022-11-23T01:37:54.5886030Z 'code': None, 2022-11-23T01:37:54.5886152Z 'obj_weakref': None 2022-11-23T01:37:54.5886280Z 'guarded_class': None 2022-11-23T01:37:54.5886345Z } 2022-11-23T01:37:54.5886407Z 2022-11-23T01:37:54.5886670Z [2022-11-23 01:30:47,176] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 90 2022-11-23T01:37:54.5887027Z [2022-11-23 01:30:47,182] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yq/cyq2a3jz6qrsoqaxohd2lqiyihb2bppaqnwzzyqz5vlunxalcepq.py 2022-11-23T01:37:54.5887294Z [2022-11-23 01:30:47,182] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 90 2022-11-23T01:37:54.5887538Z [2022-11-23 01:30:47,249] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5887809Z [2022-11-23 01:30:47,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5888031Z [2022-11-23 01:30:47,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5888279Z [2022-11-23 01:30:47,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.5888561Z [2022-11-23 01:30:47,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.5888880Z [2022-11-23 01:30:47,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5889129Z [2022-11-23 01:30:47,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.5889368Z [2022-11-23 01:30:47,264] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5889610Z [2022-11-23 01:30:47,265] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5889862Z [2022-11-23 01:30:47,283] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5890053Z [2022-11-23 01:30:47,283] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5890187Z __compiled_fn_92 .746 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5890276Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5890376Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.5890474Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.5890481Z 2022-11-23T01:37:54.5890761Z [2022-11-23 01:30:47,284] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5890843Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5890931Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5891021Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5891109Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5891185Z 8 RETURN_VALUE 2022-11-23T01:37:54.5891191Z 2022-11-23T01:37:54.5891279Z 2022-11-23T01:37:54.5891557Z [2022-11-23 01:30:47,284] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5891664Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_92) 2022-11-23T01:37:54.5891741Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5891828Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5891904Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5891992Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5892081Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.5892186Z 12 RETURN_VALUE 2022-11-23T01:37:54.5892191Z 2022-11-23T01:37:54.5892249Z 2022-11-23T01:37:54.5892422Z [2022-11-23 01:30:47,285] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5892494Z - 2022-11-23T01:37:54.5892612Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5892676Z { 2022-11-23T01:37:54.5892819Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5893008Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5893129Z 'obj_weakref': None 2022-11-23T01:37:54.5893342Z 'guarded_class': 2022-11-23T01:37:54.5893406Z } 2022-11-23T01:37:54.5893469Z 2022-11-23T01:37:54.5893540Z - 2022-11-23T01:37:54.5893666Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5893728Z { 2022-11-23T01:37:54.5893871Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5893971Z 'code': None, 2022-11-23T01:37:54.5894186Z 'obj_weakref': 2022-11-23T01:37:54.5894446Z 'guarded_class': 2022-11-23T01:37:54.5894510Z } 2022-11-23T01:37:54.5894573Z 2022-11-23T01:37:54.5894647Z - 2022-11-23T01:37:54.5894769Z local 'model' NN_MODULE 2022-11-23T01:37:54.5894820Z { 2022-11-23T01:37:54.5894954Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5895124Z 'code': ['___check_obj_id(model, 140538743940368)'], 2022-11-23T01:37:54.5895347Z 'obj_weakref': 2022-11-23T01:37:54.5895584Z 'guarded_class': 2022-11-23T01:37:54.5895647Z } 2022-11-23T01:37:54.5895713Z 2022-11-23T01:37:54.5895770Z - 2022-11-23T01:37:54.5895894Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5895956Z { 2022-11-23T01:37:54.5896095Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5896314Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5896436Z 'obj_weakref': None 2022-11-23T01:37:54.5896657Z 'guarded_class': 2022-11-23T01:37:54.5896708Z } 2022-11-23T01:37:54.5896768Z 2022-11-23T01:37:54.5896840Z - 2022-11-23T01:37:54.5896988Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.5897051Z { 2022-11-23T01:37:54.5897171Z 'guard_types': None, 2022-11-23T01:37:54.5897280Z 'code': None, 2022-11-23T01:37:54.5897386Z 'obj_weakref': None 2022-11-23T01:37:54.5897511Z 'guarded_class': None 2022-11-23T01:37:54.5897574Z } 2022-11-23T01:37:54.5897635Z 2022-11-23T01:37:54.5897706Z - 2022-11-23T01:37:54.5897852Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.5897902Z { 2022-11-23T01:37:54.5898023Z 'guard_types': None, 2022-11-23T01:37:54.5898163Z 'code': None, 2022-11-23T01:37:54.5898285Z 'obj_weakref': None 2022-11-23T01:37:54.5898407Z 'guarded_class': None 2022-11-23T01:37:54.5898469Z } 2022-11-23T01:37:54.5898530Z 2022-11-23T01:37:54.5898911Z [2022-11-23 01:30:47,294] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 91 2022-11-23T01:37:54.5899351Z [2022-11-23 01:30:48,674] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/x7/cx7l74usiut2vfxxrmr65wyflijclccjpik2t7gatmck7ssylq2r.py 2022-11-23T01:37:54.5899615Z [2022-11-23 01:30:48,675] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 91 2022-11-23T01:37:54.5899938Z [2022-11-23 01:30:48,744] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5900211Z [2022-11-23 01:30:48,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5900432Z [2022-11-23 01:30:48,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5900678Z [2022-11-23 01:30:48,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.5900959Z [2022-11-23 01:30:48,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.5901277Z [2022-11-23 01:30:48,744] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5901528Z [2022-11-23 01:30:48,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.5901756Z [2022-11-23 01:30:48,760] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5902010Z [2022-11-23 01:30:48,761] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5902263Z [2022-11-23 01:30:48,779] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5902454Z [2022-11-23 01:30:48,779] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5902590Z __compiled_fn_93 .757 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5902683Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5902781Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.5902878Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.5902884Z 2022-11-23T01:37:54.5903150Z [2022-11-23 01:30:48,780] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5903246Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5903337Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5903428Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5903517Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5903594Z 8 RETURN_VALUE 2022-11-23T01:37:54.5903600Z 2022-11-23T01:37:54.5903661Z 2022-11-23T01:37:54.5903938Z [2022-11-23 01:30:48,780] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5904033Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_93) 2022-11-23T01:37:54.5904121Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5904211Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5904288Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5904375Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5904466Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.5904539Z 12 RETURN_VALUE 2022-11-23T01:37:54.5904543Z 2022-11-23T01:37:54.5904590Z 2022-11-23T01:37:54.5904775Z [2022-11-23 01:30:48,781] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5904845Z - 2022-11-23T01:37:54.5904965Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5905066Z { 2022-11-23T01:37:54.5905214Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5905404Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5905513Z 'obj_weakref': None 2022-11-23T01:37:54.5905740Z 'guarded_class': 2022-11-23T01:37:54.5905804Z } 2022-11-23T01:37:54.5905865Z 2022-11-23T01:37:54.5905935Z - 2022-11-23T01:37:54.5906064Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5906126Z { 2022-11-23T01:37:54.5906294Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5906403Z 'code': None, 2022-11-23T01:37:54.5906618Z 'obj_weakref': 2022-11-23T01:37:54.5906875Z 'guarded_class': 2022-11-23T01:37:54.5906941Z } 2022-11-23T01:37:54.5907005Z 2022-11-23T01:37:54.5907075Z - 2022-11-23T01:37:54.5907184Z local 'model' NN_MODULE 2022-11-23T01:37:54.5907247Z { 2022-11-23T01:37:54.5907386Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5907560Z 'code': ['___check_obj_id(model, 140538746349200)'], 2022-11-23T01:37:54.5907784Z 'obj_weakref': 2022-11-23T01:37:54.5908024Z 'guarded_class': 2022-11-23T01:37:54.5908089Z } 2022-11-23T01:37:54.5908231Z 2022-11-23T01:37:54.5908292Z - 2022-11-23T01:37:54.5908419Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5908483Z { 2022-11-23T01:37:54.5908622Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5908846Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5908967Z 'obj_weakref': None 2022-11-23T01:37:54.5909190Z 'guarded_class': 2022-11-23T01:37:54.5909241Z } 2022-11-23T01:37:54.5909303Z 2022-11-23T01:37:54.5909374Z - 2022-11-23T01:37:54.5909522Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.5909586Z { 2022-11-23T01:37:54.5909708Z 'guard_types': None, 2022-11-23T01:37:54.5909806Z 'code': None, 2022-11-23T01:37:54.5909931Z 'obj_weakref': None 2022-11-23T01:37:54.5910052Z 'guarded_class': None 2022-11-23T01:37:54.5910120Z } 2022-11-23T01:37:54.5910181Z 2022-11-23T01:37:54.5910251Z - 2022-11-23T01:37:54.5910399Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.5910449Z { 2022-11-23T01:37:54.5910572Z 'guard_types': None, 2022-11-23T01:37:54.5910681Z 'code': None, 2022-11-23T01:37:54.5910805Z 'obj_weakref': None 2022-11-23T01:37:54.5910927Z 'guarded_class': None 2022-11-23T01:37:54.5910990Z } 2022-11-23T01:37:54.5911050Z 2022-11-23T01:37:54.5911297Z [2022-11-23 01:30:48,791] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 92 2022-11-23T01:37:54.5911303Z 2022-11-23T01:37:54.5911319Z 2022-11-23T01:37:54.5911400Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5911468Z import torch 2022-11-23T01:37:54.5911539Z import random 2022-11-23T01:37:54.5911653Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5911774Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5911779Z 2022-11-23T01:37:54.5911855Z aten = torch.ops.aten 2022-11-23T01:37:54.5911988Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5912104Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5912109Z 2022-11-23T01:37:54.5912114Z 2022-11-23T01:37:54.5912201Z async_compile.wait(globals()) 2022-11-23T01:37:54.5912272Z del async_compile 2022-11-23T01:37:54.5912277Z 2022-11-23T01:37:54.5912345Z def call(args): 2022-11-23T01:37:54.5912464Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.5912534Z args.clear() 2022-11-23T01:37:54.5912668Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 1) 2022-11-23T01:37:54.5912780Z assert_size_stride(buf0, (1, 32, 110, 110), (387200, 12100, 110, 1)) 2022-11-23T01:37:54.5912866Z del arg0_1 2022-11-23T01:37:54.5912932Z del arg1_1 2022-11-23T01:37:54.5912999Z del arg7_1 2022-11-23T01:37:54.5913068Z return (buf0, ) 2022-11-23T01:37:54.5913073Z 2022-11-23T01:37:54.5913077Z 2022-11-23T01:37:54.5913151Z if __name__ == "__main__": 2022-11-23T01:37:54.5913262Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5913389Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5913594Z arg0_1 = rand_strided((32, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5913790Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5913990Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5914181Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5914372Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5914566Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5914748Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.5914977Z arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5915123Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.5915140Z 2022-11-23T01:37:54.5915144Z 2022-11-23T01:37:54.5915226Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5915296Z import torch 2022-11-23T01:37:54.5915366Z import random 2022-11-23T01:37:54.5915479Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5915598Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5915603Z 2022-11-23T01:37:54.5915678Z aten = torch.ops.aten 2022-11-23T01:37:54.5915810Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5915889Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5915894Z 2022-11-23T01:37:54.5915910Z 2022-11-23T01:37:54.5916033Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.5916238Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.5916359Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.5916461Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.5916524Z { 2022-11-23T01:37:54.5916602Z #pragma GCC ivdep 2022-11-23T01:37:54.5916683Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:37:54.5916731Z { 2022-11-23T01:37:54.5916809Z #pragma GCC ivdep 2022-11-23T01:37:54.5916892Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:37:54.5916957Z { 2022-11-23T01:37:54.5917037Z #pragma GCC ivdep 2022-11-23T01:37:54.5917120Z for(long i2=0; i2<9; i2+=1) 2022-11-23T01:37:54.5917170Z { 2022-11-23T01:37:54.5917236Z { 2022-11-23T01:37:54.5917305Z { 2022-11-23T01:37:54.5917414Z auto tmp0 = in_ptr0[i2 + (9*i1) + (27*i0)]; 2022-11-23T01:37:54.5917516Z out_ptr0[i1 + (3*i2) + (27*i0)] = tmp0; 2022-11-23T01:37:54.5917584Z } 2022-11-23T01:37:54.5917649Z } 2022-11-23T01:37:54.5917700Z } 2022-11-23T01:37:54.5917794Z } 2022-11-23T01:37:54.5917862Z } 2022-11-23T01:37:54.5917922Z } 2022-11-23T01:37:54.5918006Z ''') 2022-11-23T01:37:54.5918011Z 2022-11-23T01:37:54.5918016Z 2022-11-23T01:37:54.5918106Z async_compile.wait(globals()) 2022-11-23T01:37:54.5918178Z del async_compile 2022-11-23T01:37:54.5918182Z 2022-11-23T01:37:54.5918253Z def call(args): 2022-11-23T01:37:54.5918359Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.5918430Z args.clear() 2022-11-23T01:37:54.5918646Z buf0 = empty_strided((32, 3, 3, 3), (27, 1, 9, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5918815Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.5918885Z del arg0_1 2022-11-23T01:37:54.5919021Z buf1 = aten.convolution(arg7_1, buf0, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 1) 2022-11-23T01:37:54.5919131Z assert_size_stride(buf1, (1, 32, 110, 110), (387200, 1, 3520, 32)) 2022-11-23T01:37:54.5919188Z del arg1_1 2022-11-23T01:37:54.5919257Z del arg7_1 2022-11-23T01:37:54.5919329Z return (buf1, ) 2022-11-23T01:37:54.5919334Z 2022-11-23T01:37:54.5919338Z 2022-11-23T01:37:54.5919414Z if __name__ == "__main__": 2022-11-23T01:37:54.5919528Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5919651Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5919870Z arg0_1 = rand_strided((32, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5920071Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5920257Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5920446Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5920637Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5920827Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5921012Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.5921236Z arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5921396Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.5921401Z 2022-11-23T01:37:54.5921406Z 2022-11-23T01:37:54.5921501Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5921558Z import torch 2022-11-23T01:37:54.5921628Z import random 2022-11-23T01:37:54.5921745Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5921870Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5921876Z 2022-11-23T01:37:54.5921954Z aten = torch.ops.aten 2022-11-23T01:37:54.5922085Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5922176Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5922181Z 2022-11-23T01:37:54.5922185Z 2022-11-23T01:37:54.5922275Z async_compile.wait(globals()) 2022-11-23T01:37:54.5922333Z del async_compile 2022-11-23T01:37:54.5922338Z 2022-11-23T01:37:54.5922405Z def call(args): 2022-11-23T01:37:54.5922521Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.5922591Z args.clear() 2022-11-23T01:37:54.5922724Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 4) 2022-11-23T01:37:54.5922836Z assert_size_stride(buf0, (1, 128, 110, 110), (1548800, 12100, 110, 1)) 2022-11-23T01:37:54.5922902Z del arg0_1 2022-11-23T01:37:54.5922958Z del arg1_1 2022-11-23T01:37:54.5923022Z del arg7_1 2022-11-23T01:37:54.5923090Z return (buf0, ) 2022-11-23T01:37:54.5923095Z 2022-11-23T01:37:54.5923099Z 2022-11-23T01:37:54.5923174Z if __name__ == "__main__": 2022-11-23T01:37:54.5923285Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5923405Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5923653Z arg0_1 = rand_strided((128, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5923854Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5924037Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5924227Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5924422Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5924613Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5924825Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.5925056Z arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5925209Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.5925217Z 2022-11-23T01:37:54.5925221Z 2022-11-23T01:37:54.5925314Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5925386Z import torch 2022-11-23T01:37:54.5925442Z import random 2022-11-23T01:37:54.5925556Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5925674Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5925679Z 2022-11-23T01:37:54.5925757Z aten = torch.ops.aten 2022-11-23T01:37:54.5925889Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5925981Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5925986Z 2022-11-23T01:37:54.5925992Z 2022-11-23T01:37:54.5926128Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.5926338Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.5926444Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.5926543Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.5926607Z { 2022-11-23T01:37:54.5926684Z #pragma GCC ivdep 2022-11-23T01:37:54.5926764Z for(long i0=0; i0<128; i0+=1) 2022-11-23T01:37:54.5926825Z { 2022-11-23T01:37:54.5926901Z #pragma GCC ivdep 2022-11-23T01:37:54.5926970Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:37:54.5927031Z { 2022-11-23T01:37:54.5927109Z #pragma GCC ivdep 2022-11-23T01:37:54.5927191Z for(long i2=0; i2<9; i2+=1) 2022-11-23T01:37:54.5927255Z { 2022-11-23T01:37:54.5927319Z { 2022-11-23T01:37:54.5927374Z { 2022-11-23T01:37:54.5927486Z auto tmp0 = in_ptr0[i2 + (9*i1) + (27*i0)]; 2022-11-23T01:37:54.5927586Z out_ptr0[i1 + (3*i2) + (27*i0)] = tmp0; 2022-11-23T01:37:54.5927652Z } 2022-11-23T01:37:54.5927715Z } 2022-11-23T01:37:54.5927779Z } 2022-11-23T01:37:54.5927842Z } 2022-11-23T01:37:54.5927891Z } 2022-11-23T01:37:54.5927950Z } 2022-11-23T01:37:54.5928033Z ''') 2022-11-23T01:37:54.5928039Z 2022-11-23T01:37:54.5928042Z 2022-11-23T01:37:54.5928131Z async_compile.wait(globals()) 2022-11-23T01:37:54.5928201Z del async_compile 2022-11-23T01:37:54.5928206Z 2022-11-23T01:37:54.5928275Z def call(args): 2022-11-23T01:37:54.5928392Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.5928451Z args.clear() 2022-11-23T01:37:54.5928664Z buf0 = empty_strided((128, 3, 3, 3), (27, 1, 9, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5928795Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.5928866Z del arg0_1 2022-11-23T01:37:54.5929000Z buf1 = aten.convolution(arg7_1, buf0, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 4) 2022-11-23T01:37:54.5929111Z assert_size_stride(buf1, (1, 128, 110, 110), (1548800, 1, 14080, 128)) 2022-11-23T01:37:54.5929177Z del arg1_1 2022-11-23T01:37:54.5929241Z del arg7_1 2022-11-23T01:37:54.5929329Z return (buf1, ) 2022-11-23T01:37:54.5929335Z 2022-11-23T01:37:54.5929339Z 2022-11-23T01:37:54.5929416Z if __name__ == "__main__": 2022-11-23T01:37:54.5929527Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5929651Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5929871Z arg0_1 = rand_strided((128, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5930069Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5930266Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5930490Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5930670Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5930860Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5931043Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.5931270Z arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5931426Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.5931431Z 2022-11-23T01:37:54.5931436Z 2022-11-23T01:37:54.5931528Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5931599Z import torch 2022-11-23T01:37:54.5931667Z import random 2022-11-23T01:37:54.5931770Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5931889Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5931897Z 2022-11-23T01:37:54.5931972Z aten = torch.ops.aten 2022-11-23T01:37:54.5932106Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5932196Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5932201Z 2022-11-23T01:37:54.5932205Z 2022-11-23T01:37:54.5932291Z async_compile.wait(globals()) 2022-11-23T01:37:54.5932362Z del async_compile 2022-11-23T01:37:54.5932368Z 2022-11-23T01:37:54.5932437Z def call(args): 2022-11-23T01:37:54.5932541Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.5932609Z args.clear() 2022-11-23T01:37:54.5932741Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 1) 2022-11-23T01:37:54.5932852Z assert_size_stride(buf0, (1, 32, 108, 108), (373248, 11664, 108, 1)) 2022-11-23T01:37:54.5932919Z del arg0_1 2022-11-23T01:37:54.5932984Z del arg1_1 2022-11-23T01:37:54.5933048Z del arg7_1 2022-11-23T01:37:54.5933109Z return (buf0, ) 2022-11-23T01:37:54.5933116Z 2022-11-23T01:37:54.5933132Z 2022-11-23T01:37:54.5933194Z if __name__ == "__main__": 2022-11-23T01:37:54.5933308Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.5933429Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.5933648Z arg0_1 = rand_strided((32, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5933844Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5934035Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5934227Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5934404Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5934593Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5934774Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.5935004Z arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.5935159Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.5935564Z [2022-11-23 01:30:48,797] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/po/cpofneny2ajd45ioooxtnvui67q6i5li2x7zvcb7t5jcd6wj47fn.py 2022-11-23T01:37:54.5935834Z [2022-11-23 01:30:48,797] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 92 2022-11-23T01:37:54.5936074Z [2022-11-23 01:30:48,812] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5936345Z [2022-11-23 01:30:48,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5936550Z [2022-11-23 01:30:48,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5936828Z [2022-11-23 01:30:48,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.5937107Z [2022-11-23 01:30:48,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.5937427Z [2022-11-23 01:30:48,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5937680Z [2022-11-23 01:30:48,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.5937915Z [2022-11-23 01:30:48,827] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5938170Z [2022-11-23 01:30:48,828] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5938421Z [2022-11-23 01:30:48,844] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5938615Z [2022-11-23 01:30:48,845] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5938886Z __compiled_fn_94 .768 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5939024Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5939131Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.5939233Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.5939239Z 2022-11-23T01:37:54.5939525Z [2022-11-23 01:30:48,845] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5939619Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5939709Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5939800Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5939877Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5939953Z 8 RETURN_VALUE 2022-11-23T01:37:54.5939959Z 2022-11-23T01:37:54.5940023Z 2022-11-23T01:37:54.5940299Z [2022-11-23 01:30:48,845] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5940409Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_94) 2022-11-23T01:37:54.5940500Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5940591Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5940669Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5940745Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5940836Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.5940910Z 12 RETURN_VALUE 2022-11-23T01:37:54.5940915Z 2022-11-23T01:37:54.5940974Z 2022-11-23T01:37:54.5941160Z [2022-11-23 01:30:48,846] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5941231Z - 2022-11-23T01:37:54.5941351Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5941401Z { 2022-11-23T01:37:54.5941544Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5941735Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5941857Z 'obj_weakref': None 2022-11-23T01:37:54.5942082Z 'guarded_class': 2022-11-23T01:37:54.5942147Z } 2022-11-23T01:37:54.5942266Z 2022-11-23T01:37:54.5942332Z - 2022-11-23T01:37:54.5942460Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5942527Z { 2022-11-23T01:37:54.5942670Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5942779Z 'code': None, 2022-11-23T01:37:54.5942998Z 'obj_weakref': 2022-11-23T01:37:54.5943256Z 'guarded_class': 2022-11-23T01:37:54.5943306Z } 2022-11-23T01:37:54.5943419Z 2022-11-23T01:37:54.5943490Z - 2022-11-23T01:37:54.5943614Z local 'model' NN_MODULE 2022-11-23T01:37:54.5943676Z { 2022-11-23T01:37:54.5943813Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5943986Z 'code': ['___check_obj_id(model, 140538746349200)'], 2022-11-23T01:37:54.5944200Z 'obj_weakref': 2022-11-23T01:37:54.5944438Z 'guarded_class': 2022-11-23T01:37:54.5944503Z } 2022-11-23T01:37:54.5944567Z 2022-11-23T01:37:54.5944638Z - 2022-11-23T01:37:54.5944764Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5944829Z { 2022-11-23T01:37:54.5944955Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5945179Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5945303Z 'obj_weakref': None 2022-11-23T01:37:54.5945528Z 'guarded_class': 2022-11-23T01:37:54.5945597Z } 2022-11-23T01:37:54.5945659Z 2022-11-23T01:37:54.5945729Z - 2022-11-23T01:37:54.5945863Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.5945934Z { 2022-11-23T01:37:54.5946057Z 'guard_types': None, 2022-11-23T01:37:54.5946167Z 'code': None, 2022-11-23T01:37:54.5946286Z 'obj_weakref': None 2022-11-23T01:37:54.5946408Z 'guarded_class': None 2022-11-23T01:37:54.5946470Z } 2022-11-23T01:37:54.5946519Z 2022-11-23T01:37:54.5946589Z - 2022-11-23T01:37:54.5946736Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.5946798Z { 2022-11-23T01:37:54.5946918Z 'guard_types': None, 2022-11-23T01:37:54.5947025Z 'code': None, 2022-11-23T01:37:54.5947134Z 'obj_weakref': None 2022-11-23T01:37:54.5947256Z 'guarded_class': None 2022-11-23T01:37:54.5947318Z } 2022-11-23T01:37:54.5947380Z 2022-11-23T01:37:54.5947645Z [2022-11-23 01:30:48,855] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 93 2022-11-23T01:37:54.5948030Z [2022-11-23 01:30:48,869] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vl/cvlgxidiqjqwpkqhgkfabehaeik3wlcd3akl65wwnqk7trbnomjj.py 2022-11-23T01:37:54.5948384Z [2022-11-23 01:30:48,869] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 93 2022-11-23T01:37:54.5948626Z [2022-11-23 01:30:48,885] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5948898Z [2022-11-23 01:30:48,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5949111Z [2022-11-23 01:30:48,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5949355Z [2022-11-23 01:30:48,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.5949635Z [2022-11-23 01:30:48,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.5949989Z [2022-11-23 01:30:48,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5950243Z [2022-11-23 01:30:48,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.5950480Z [2022-11-23 01:30:48,900] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5950737Z [2022-11-23 01:30:48,901] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5950990Z [2022-11-23 01:30:48,922] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5951246Z [2022-11-23 01:30:48,922] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5951368Z __compiled_fn_95 .779 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5951457Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5951559Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.5951659Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.5951665Z 2022-11-23T01:37:54.5951943Z [2022-11-23 01:30:48,922] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5952037Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5952130Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5952221Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5952299Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5952376Z 8 RETURN_VALUE 2022-11-23T01:37:54.5952382Z 2022-11-23T01:37:54.5952441Z 2022-11-23T01:37:54.5952721Z [2022-11-23 01:30:48,922] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5952829Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_95) 2022-11-23T01:37:54.5952920Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5953010Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5953073Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5953160Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5953250Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.5953325Z 12 RETURN_VALUE 2022-11-23T01:37:54.5953330Z 2022-11-23T01:37:54.5953390Z 2022-11-23T01:37:54.5953575Z [2022-11-23 01:30:48,923] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5953646Z - 2022-11-23T01:37:54.5953755Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5953822Z { 2022-11-23T01:37:54.5953963Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5954154Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5954278Z 'obj_weakref': None 2022-11-23T01:37:54.5954508Z 'guarded_class': 2022-11-23T01:37:54.5954578Z } 2022-11-23T01:37:54.5954628Z 2022-11-23T01:37:54.5954700Z - 2022-11-23T01:37:54.5954828Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5954897Z { 2022-11-23T01:37:54.5955042Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5955153Z 'code': None, 2022-11-23T01:37:54.5955375Z 'obj_weakref': 2022-11-23T01:37:54.5955633Z 'guarded_class': 2022-11-23T01:37:54.5955691Z } 2022-11-23T01:37:54.5955756Z 2022-11-23T01:37:54.5955829Z - 2022-11-23T01:37:54.5955951Z local 'model' NN_MODULE 2022-11-23T01:37:54.5956016Z { 2022-11-23T01:37:54.5956153Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5956342Z 'code': ['___check_obj_id(model, 140538741103440)'], 2022-11-23T01:37:54.5956569Z 'obj_weakref': 2022-11-23T01:37:54.5956811Z 'guarded_class': 2022-11-23T01:37:54.5956876Z } 2022-11-23T01:37:54.5956939Z 2022-11-23T01:37:54.5957013Z - 2022-11-23T01:37:54.5957139Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5957190Z { 2022-11-23T01:37:54.5957332Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5957555Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5957714Z 'obj_weakref': None 2022-11-23T01:37:54.5957943Z 'guarded_class': 2022-11-23T01:37:54.5958008Z } 2022-11-23T01:37:54.5958071Z 2022-11-23T01:37:54.5958142Z - 2022-11-23T01:37:54.5958281Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.5958349Z { 2022-11-23T01:37:54.5958472Z 'guard_types': None, 2022-11-23T01:37:54.5958582Z 'code': None, 2022-11-23T01:37:54.5958705Z 'obj_weakref': None 2022-11-23T01:37:54.5958830Z 'guarded_class': None 2022-11-23T01:37:54.5958882Z } 2022-11-23T01:37:54.5958945Z 2022-11-23T01:37:54.5959016Z - 2022-11-23T01:37:54.5959164Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.5959228Z { 2022-11-23T01:37:54.5959353Z 'guard_types': None, 2022-11-23T01:37:54.5959465Z 'code': None, 2022-11-23T01:37:54.5959572Z 'obj_weakref': None 2022-11-23T01:37:54.5959698Z 'guarded_class': None 2022-11-23T01:37:54.5959763Z } 2022-11-23T01:37:54.5959826Z 2022-11-23T01:37:54.5960091Z [2022-11-23 01:30:48,933] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 94 2022-11-23T01:37:54.5960459Z [2022-11-23 01:30:48,938] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xe/cxec6yir6b6x6lsmc4vmbpkgi5lynb4y3cbnvny5x3v6ltg4pidv.py 2022-11-23T01:37:54.5960729Z [2022-11-23 01:30:48,938] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 94 2022-11-23T01:37:54.5960972Z [2022-11-23 01:30:48,982] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5961230Z [2022-11-23 01:30:48,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5961450Z [2022-11-23 01:30:48,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5961697Z [2022-11-23 01:30:48,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.5961981Z [2022-11-23 01:30:48,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.5962296Z [2022-11-23 01:30:48,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5962544Z [2022-11-23 01:30:48,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.5962779Z [2022-11-23 01:30:48,999] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5963034Z [2022-11-23 01:30:49,000] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5963290Z [2022-11-23 01:30:49,018] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5963468Z [2022-11-23 01:30:49,018] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5963607Z __compiled_fn_96 .790 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5963724Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5963826Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.5963928Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.5963933Z 2022-11-23T01:37:54.5964212Z [2022-11-23 01:30:49,019] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5964306Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5964395Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5964475Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5964564Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5964671Z 8 RETURN_VALUE 2022-11-23T01:37:54.5964676Z 2022-11-23T01:37:54.5964737Z 2022-11-23T01:37:54.5965012Z [2022-11-23 01:30:49,019] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5965119Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_96) 2022-11-23T01:37:54.5965210Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5965297Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5965362Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5965451Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5965539Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.5965612Z 12 RETURN_VALUE 2022-11-23T01:37:54.5965617Z 2022-11-23T01:37:54.5965676Z 2022-11-23T01:37:54.5965862Z [2022-11-23 01:30:49,019] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5965933Z - 2022-11-23T01:37:54.5966044Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5966106Z { 2022-11-23T01:37:54.5966249Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5966435Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5966557Z 'obj_weakref': None 2022-11-23T01:37:54.5966786Z 'guarded_class': 2022-11-23T01:37:54.5966850Z } 2022-11-23T01:37:54.5966901Z 2022-11-23T01:37:54.5966970Z - 2022-11-23T01:37:54.5967095Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5967157Z { 2022-11-23T01:37:54.5967301Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5967411Z 'code': None, 2022-11-23T01:37:54.5967628Z 'obj_weakref': 2022-11-23T01:37:54.5967870Z 'guarded_class': 2022-11-23T01:37:54.5967939Z } 2022-11-23T01:37:54.5968003Z 2022-11-23T01:37:54.5968073Z - 2022-11-23T01:37:54.5968194Z local 'model' NN_MODULE 2022-11-23T01:37:54.5968255Z { 2022-11-23T01:37:54.5968390Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5968549Z 'code': ['___check_obj_id(model, 140538741103440)'], 2022-11-23T01:37:54.5968771Z 'obj_weakref': 2022-11-23T01:37:54.5969008Z 'guarded_class': 2022-11-23T01:37:54.5969073Z } 2022-11-23T01:37:54.5969136Z 2022-11-23T01:37:54.5969206Z - 2022-11-23T01:37:54.5969326Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5969376Z { 2022-11-23T01:37:54.5969517Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5969739Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5969862Z 'obj_weakref': None 2022-11-23T01:37:54.5970083Z 'guarded_class': 2022-11-23T01:37:54.5970147Z } 2022-11-23T01:37:54.5970238Z 2022-11-23T01:37:54.5970297Z - 2022-11-23T01:37:54.5970446Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.5970507Z { 2022-11-23T01:37:54.5970628Z 'guard_types': None, 2022-11-23T01:37:54.5970736Z 'code': None, 2022-11-23T01:37:54.5970856Z 'obj_weakref': None 2022-11-23T01:37:54.5970977Z 'guarded_class': None 2022-11-23T01:37:54.5971027Z } 2022-11-23T01:37:54.5971087Z 2022-11-23T01:37:54.5971157Z - 2022-11-23T01:37:54.5971302Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.5971399Z { 2022-11-23T01:37:54.5971522Z 'guard_types': None, 2022-11-23T01:37:54.5971618Z 'code': None, 2022-11-23T01:37:54.5971736Z 'obj_weakref': None 2022-11-23T01:37:54.5971857Z 'guarded_class': None 2022-11-23T01:37:54.5971919Z } 2022-11-23T01:37:54.5971980Z 2022-11-23T01:37:54.5972241Z [2022-11-23 01:30:49,029] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 95 2022-11-23T01:37:54.5972615Z [2022-11-23 01:30:49,042] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/y5/cy5kl6ecxzvx6fidodsbnmwxaloqq74mn7vcghtmodoadin2kox2.py 2022-11-23T01:37:54.5972879Z [2022-11-23 01:30:49,042] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 95 2022-11-23T01:37:54.5973106Z [2022-11-23 01:30:49,080] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5973376Z [2022-11-23 01:30:49,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5973598Z [2022-11-23 01:30:49,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5973843Z [2022-11-23 01:30:49,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.5974122Z [2022-11-23 01:30:49,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.5974440Z [2022-11-23 01:30:49,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5974691Z [2022-11-23 01:30:49,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.5974926Z [2022-11-23 01:30:49,094] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5975183Z [2022-11-23 01:30:49,095] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5975437Z [2022-11-23 01:30:49,111] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5975616Z [2022-11-23 01:30:49,111] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5975752Z __compiled_fn_97 .801 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5975842Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5975939Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.5976035Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.5976040Z 2022-11-23T01:37:54.5976319Z [2022-11-23 01:30:49,111] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5976413Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5976504Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5976584Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5976676Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5976751Z 8 RETURN_VALUE 2022-11-23T01:37:54.5976756Z 2022-11-23T01:37:54.5976816Z 2022-11-23T01:37:54.5977092Z [2022-11-23 01:30:49,112] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5977229Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_97) 2022-11-23T01:37:54.5977322Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5977399Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5977475Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5977562Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5977653Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.5977726Z 12 RETURN_VALUE 2022-11-23T01:37:54.5977730Z 2022-11-23T01:37:54.5977789Z 2022-11-23T01:37:54.5977974Z [2022-11-23 01:30:49,112] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5978063Z - 2022-11-23T01:37:54.5978189Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5978254Z { 2022-11-23T01:37:54.5978395Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5978582Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5978707Z 'obj_weakref': None 2022-11-23T01:37:54.5979134Z 'guarded_class': 2022-11-23T01:37:54.5979189Z } 2022-11-23T01:37:54.5979253Z 2022-11-23T01:37:54.5979325Z - 2022-11-23T01:37:54.5979452Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5979516Z { 2022-11-23T01:37:54.5979660Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5979771Z 'code': None, 2022-11-23T01:37:54.5979974Z 'obj_weakref': 2022-11-23T01:37:54.5980234Z 'guarded_class': 2022-11-23T01:37:54.5980297Z } 2022-11-23T01:37:54.5980361Z 2022-11-23T01:37:54.5980431Z - 2022-11-23T01:37:54.5980553Z local 'model' NN_MODULE 2022-11-23T01:37:54.5980616Z { 2022-11-23T01:37:54.5980741Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5980913Z 'code': ['___check_obj_id(model, 140538745536336)'], 2022-11-23T01:37:54.5981140Z 'obj_weakref': 2022-11-23T01:37:54.5981379Z 'guarded_class': 2022-11-23T01:37:54.5981444Z } 2022-11-23T01:37:54.5981508Z 2022-11-23T01:37:54.5981579Z - 2022-11-23T01:37:54.5981690Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5981751Z { 2022-11-23T01:37:54.5981892Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5982115Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5982235Z 'obj_weakref': None 2022-11-23T01:37:54.5982457Z 'guarded_class': 2022-11-23T01:37:54.5982522Z } 2022-11-23T01:37:54.5982583Z 2022-11-23T01:37:54.5982640Z - 2022-11-23T01:37:54.5982787Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.5982851Z { 2022-11-23T01:37:54.5982972Z 'guard_types': None, 2022-11-23T01:37:54.5983079Z 'code': None, 2022-11-23T01:37:54.5983199Z 'obj_weakref': None 2022-11-23T01:37:54.5983310Z 'guarded_class': None 2022-11-23T01:37:54.5983372Z } 2022-11-23T01:37:54.5983436Z 2022-11-23T01:37:54.5983505Z - 2022-11-23T01:37:54.5983654Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.5983717Z { 2022-11-23T01:37:54.5983839Z 'guard_types': None, 2022-11-23T01:37:54.5983936Z 'code': None, 2022-11-23T01:37:54.5984057Z 'obj_weakref': None 2022-11-23T01:37:54.5984179Z 'guarded_class': None 2022-11-23T01:37:54.5984307Z } 2022-11-23T01:37:54.5984372Z 2022-11-23T01:37:54.5984636Z [2022-11-23 01:30:49,122] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 96 2022-11-23T01:37:54.5985008Z [2022-11-23 01:30:49,127] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jq/cjqyf3e42uy33krhq5tma6obphrb2bnewratrzle2id7k6lqwpxu.py 2022-11-23T01:37:54.5985262Z [2022-11-23 01:30:49,127] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 96 2022-11-23T01:37:54.5985504Z [2022-11-23 01:30:49,139] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.5985814Z [2022-11-23 01:30:49,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.5986036Z [2022-11-23 01:30:49,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.5986286Z [2022-11-23 01:30:49,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.5986565Z [2022-11-23 01:30:49,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.5986883Z [2022-11-23 01:30:49,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.5987134Z [2022-11-23 01:30:49,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.5987373Z [2022-11-23 01:30:49,153] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.5987633Z [2022-11-23 01:30:49,154] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.5987869Z [2022-11-23 01:30:49,170] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.5988059Z [2022-11-23 01:30:49,170] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.5988276Z __compiled_fn_98 .812 opcode, name, target, args, kwargs 2022-11-23T01:37:54.5988371Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.5988470Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.5988568Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.5988575Z 2022-11-23T01:37:54.5988859Z [2022-11-23 01:30:49,170] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5988955Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.5989033Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5989127Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.5989218Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.5989295Z 8 RETURN_VALUE 2022-11-23T01:37:54.5989300Z 2022-11-23T01:37:54.5989362Z 2022-11-23T01:37:54.5989643Z [2022-11-23 01:30:49,170] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.5989753Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_98) 2022-11-23T01:37:54.5989843Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.5989919Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.5989996Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.5990089Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.5990181Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.5990256Z 12 RETURN_VALUE 2022-11-23T01:37:54.5990261Z 2022-11-23T01:37:54.5990321Z 2022-11-23T01:37:54.5990513Z [2022-11-23 01:30:49,171] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.5990572Z - 2022-11-23T01:37:54.5990692Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.5990757Z { 2022-11-23T01:37:54.5990899Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.5991124Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.5991250Z 'obj_weakref': None 2022-11-23T01:37:54.5991477Z 'guarded_class': 2022-11-23T01:37:54.5991527Z } 2022-11-23T01:37:54.5991588Z 2022-11-23T01:37:54.5991656Z - 2022-11-23T01:37:54.5991782Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.5991846Z { 2022-11-23T01:37:54.5991989Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.5992099Z 'code': None, 2022-11-23T01:37:54.5992300Z 'obj_weakref': 2022-11-23T01:37:54.5992604Z 'guarded_class': 2022-11-23T01:37:54.5992668Z } 2022-11-23T01:37:54.5992730Z 2022-11-23T01:37:54.5992801Z - 2022-11-23T01:37:54.5992922Z local 'model' NN_MODULE 2022-11-23T01:37:54.5992986Z { 2022-11-23T01:37:54.5993111Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.5993280Z 'code': ['___check_obj_id(model, 140538745536336)'], 2022-11-23T01:37:54.5993506Z 'obj_weakref': 2022-11-23T01:37:54.5993747Z 'guarded_class': 2022-11-23T01:37:54.5993811Z } 2022-11-23T01:37:54.5993871Z 2022-11-23T01:37:54.5993942Z - 2022-11-23T01:37:54.5994054Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.5994121Z { 2022-11-23T01:37:54.5994261Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.5994485Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.5994607Z 'obj_weakref': None 2022-11-23T01:37:54.5994834Z 'guarded_class': 2022-11-23T01:37:54.5994899Z } 2022-11-23T01:37:54.5994949Z 2022-11-23T01:37:54.5995020Z - 2022-11-23T01:37:54.5995171Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.5995236Z { 2022-11-23T01:37:54.5995359Z 'guard_types': None, 2022-11-23T01:37:54.5995471Z 'code': None, 2022-11-23T01:37:54.5995592Z 'obj_weakref': None 2022-11-23T01:37:54.5995703Z 'guarded_class': None 2022-11-23T01:37:54.5995768Z } 2022-11-23T01:37:54.5995837Z 2022-11-23T01:37:54.5995910Z - 2022-11-23T01:37:54.5996060Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.5996125Z { 2022-11-23T01:37:54.5996233Z 'guard_types': None, 2022-11-23T01:37:54.5996345Z 'code': None, 2022-11-23T01:37:54.5996465Z 'obj_weakref': None 2022-11-23T01:37:54.5996593Z 'guarded_class': None 2022-11-23T01:37:54.5996661Z } 2022-11-23T01:37:54.5996725Z 2022-11-23T01:37:54.5996986Z [2022-11-23 01:30:49,181] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 97 2022-11-23T01:37:54.5996992Z 2022-11-23T01:37:54.5996996Z 2022-11-23T01:37:54.5997092Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.5997149Z import torch 2022-11-23T01:37:54.5997221Z import random 2022-11-23T01:37:54.5997340Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.5997465Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.5997472Z 2022-11-23T01:37:54.5997554Z aten = torch.ops.aten 2022-11-23T01:37:54.5997690Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.5997786Z async_compile = AsyncCompile() 2022-11-23T01:37:54.5997791Z 2022-11-23T01:37:54.5997795Z 2022-11-23T01:37:54.5997934Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.5998164Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.5998287Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.5998388Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.5998452Z { 2022-11-23T01:37:54.5998530Z #pragma GCC ivdep 2022-11-23T01:37:54.5998612Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:37:54.5998675Z { 2022-11-23T01:37:54.5998742Z #pragma GCC ivdep 2022-11-23T01:37:54.5998828Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:37:54.5998894Z { 2022-11-23T01:37:54.5999006Z #pragma GCC ivdep 2022-11-23T01:37:54.5999091Z for(long i2=0; i2<9; i2+=1) 2022-11-23T01:37:54.5999155Z { 2022-11-23T01:37:54.5999208Z { 2022-11-23T01:37:54.5999276Z { 2022-11-23T01:37:54.5999385Z auto tmp0 = in_ptr0[i2 + (9*i1) + (27*i0)]; 2022-11-23T01:37:54.5999491Z out_ptr0[i1 + (3*i2) + (27*i0)] = tmp0; 2022-11-23T01:37:54.5999559Z } 2022-11-23T01:37:54.5999625Z } 2022-11-23T01:37:54.5999689Z } 2022-11-23T01:37:54.5999739Z } 2022-11-23T01:37:54.5999801Z } 2022-11-23T01:37:54.5999860Z } 2022-11-23T01:37:54.5999944Z ''') 2022-11-23T01:37:54.5999951Z 2022-11-23T01:37:54.5999955Z 2022-11-23T01:37:54.6000044Z async_compile.wait(globals()) 2022-11-23T01:37:54.6000115Z del async_compile 2022-11-23T01:37:54.6000119Z 2022-11-23T01:37:54.6000190Z def call(args): 2022-11-23T01:37:54.6000310Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6000373Z args.clear() 2022-11-23T01:37:54.6000586Z buf0 = empty_strided((32, 3, 3, 3), (27, 1, 9, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6000721Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.6000791Z del arg0_1 2022-11-23T01:37:54.6000927Z buf1 = aten.convolution(arg7_1, buf0, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 1) 2022-11-23T01:37:54.6001039Z assert_size_stride(buf1, (1, 32, 108, 108), (373248, 1, 3456, 32)) 2022-11-23T01:37:54.6001106Z del arg1_1 2022-11-23T01:37:54.6001160Z del arg7_1 2022-11-23T01:37:54.6001231Z return (buf1, ) 2022-11-23T01:37:54.6001235Z 2022-11-23T01:37:54.6001240Z 2022-11-23T01:37:54.6001313Z if __name__ == "__main__": 2022-11-23T01:37:54.6001427Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6001549Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6001764Z arg0_1 = rand_strided((32, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6001965Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6002160Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6002337Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6002528Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6002716Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6002898Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6003122Z arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6003281Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6003286Z 2022-11-23T01:37:54.6003292Z 2022-11-23T01:37:54.6003388Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6003458Z import torch 2022-11-23T01:37:54.6003514Z import random 2022-11-23T01:37:54.6003633Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6003753Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6003758Z 2022-11-23T01:37:54.6003837Z aten = torch.ops.aten 2022-11-23T01:37:54.6003999Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6004096Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6004101Z 2022-11-23T01:37:54.6004105Z 2022-11-23T01:37:54.6004191Z async_compile.wait(globals()) 2022-11-23T01:37:54.6004262Z del async_compile 2022-11-23T01:37:54.6004266Z 2022-11-23T01:37:54.6004324Z def call(args): 2022-11-23T01:37:54.6004439Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6004512Z args.clear() 2022-11-23T01:37:54.6004648Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 4) 2022-11-23T01:37:54.6004793Z assert_size_stride(buf0, (1, 128, 108, 108), (1492992, 11664, 108, 1)) 2022-11-23T01:37:54.6004861Z del arg0_1 2022-11-23T01:37:54.6004926Z del arg1_1 2022-11-23T01:37:54.6004979Z del arg7_1 2022-11-23T01:37:54.6005047Z return (buf0, ) 2022-11-23T01:37:54.6005052Z 2022-11-23T01:37:54.6005057Z 2022-11-23T01:37:54.6005132Z if __name__ == "__main__": 2022-11-23T01:37:54.6005244Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6005365Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6005588Z arg0_1 = rand_strided((128, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6005789Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6005986Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6006168Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6006364Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6006552Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6006738Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6006969Z arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6007129Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6007134Z 2022-11-23T01:37:54.6007138Z 2022-11-23T01:37:54.6007232Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6007300Z import torch 2022-11-23T01:37:54.6007368Z import random 2022-11-23T01:37:54.6007469Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6007588Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6007593Z 2022-11-23T01:37:54.6007668Z aten = torch.ops.aten 2022-11-23T01:37:54.6007803Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6007894Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6007900Z 2022-11-23T01:37:54.6007904Z 2022-11-23T01:37:54.6008040Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.6008246Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.6008363Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.6008449Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.6008508Z { 2022-11-23T01:37:54.6008583Z #pragma GCC ivdep 2022-11-23T01:37:54.6008664Z for(long i0=0; i0<128; i0+=1) 2022-11-23T01:37:54.6008724Z { 2022-11-23T01:37:54.6008801Z #pragma GCC ivdep 2022-11-23T01:37:54.6008881Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:37:54.6008930Z { 2022-11-23T01:37:54.6009009Z #pragma GCC ivdep 2022-11-23T01:37:54.6009092Z for(long i2=0; i2<9; i2+=1) 2022-11-23T01:37:54.6009158Z { 2022-11-23T01:37:54.6009221Z { 2022-11-23T01:37:54.6009286Z { 2022-11-23T01:37:54.6009380Z auto tmp0 = in_ptr0[i2 + (9*i1) + (27*i0)]; 2022-11-23T01:37:54.6009477Z out_ptr0[i1 + (3*i2) + (27*i0)] = tmp0; 2022-11-23T01:37:54.6009574Z } 2022-11-23T01:37:54.6009639Z } 2022-11-23T01:37:54.6009700Z } 2022-11-23T01:37:54.6009761Z } 2022-11-23T01:37:54.6009819Z } 2022-11-23T01:37:54.6009865Z } 2022-11-23T01:37:54.6009944Z ''') 2022-11-23T01:37:54.6009949Z 2022-11-23T01:37:54.6009953Z 2022-11-23T01:37:54.6010040Z async_compile.wait(globals()) 2022-11-23T01:37:54.6010110Z del async_compile 2022-11-23T01:37:54.6010115Z 2022-11-23T01:37:54.6010183Z def call(args): 2022-11-23T01:37:54.6010300Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6010371Z args.clear() 2022-11-23T01:37:54.6010623Z buf0 = empty_strided((128, 3, 3, 3), (27, 1, 9, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6010745Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.6010811Z del arg0_1 2022-11-23T01:37:54.6010947Z buf1 = aten.convolution(arg7_1, buf0, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 4) 2022-11-23T01:37:54.6011059Z assert_size_stride(buf1, (1, 128, 108, 108), (1492992, 1, 13824, 128)) 2022-11-23T01:37:54.6011126Z del arg1_1 2022-11-23T01:37:54.6011193Z del arg7_1 2022-11-23T01:37:54.6011263Z return (buf1, ) 2022-11-23T01:37:54.6011267Z 2022-11-23T01:37:54.6011271Z 2022-11-23T01:37:54.6011334Z if __name__ == "__main__": 2022-11-23T01:37:54.6011445Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6011564Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6011780Z arg0_1 = rand_strided((128, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6011981Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6012179Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6012373Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6012566Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6012743Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6012923Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6013151Z arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6013309Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6013314Z 2022-11-23T01:37:54.6013319Z 2022-11-23T01:37:54.6013411Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6013482Z import torch 2022-11-23T01:37:54.6013549Z import random 2022-11-23T01:37:54.6013663Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6013770Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6013775Z 2022-11-23T01:37:54.6013850Z aten = torch.ops.aten 2022-11-23T01:37:54.6013984Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6014073Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6014078Z 2022-11-23T01:37:54.6014082Z 2022-11-23T01:37:54.6014168Z async_compile.wait(globals()) 2022-11-23T01:37:54.6014243Z del async_compile 2022-11-23T01:37:54.6014248Z 2022-11-23T01:37:54.6014316Z def call(args): 2022-11-23T01:37:54.6014435Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6014493Z args.clear() 2022-11-23T01:37:54.6014625Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 1) 2022-11-23T01:37:54.6014738Z assert_size_stride(buf0, (1, 32, 112, 112), (401408, 12544, 112, 1)) 2022-11-23T01:37:54.6014806Z del arg0_1 2022-11-23T01:37:54.6014874Z del arg1_1 2022-11-23T01:37:54.6014937Z del arg7_1 2022-11-23T01:37:54.6015007Z return (buf0, ) 2022-11-23T01:37:54.6015012Z 2022-11-23T01:37:54.6015016Z 2022-11-23T01:37:54.6015092Z if __name__ == "__main__": 2022-11-23T01:37:54.6015225Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6015348Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6015562Z arg0_1 = rand_strided((32, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6015758Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6015952Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6016142Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6016335Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6016556Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6016725Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6016953Z arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6017113Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6017119Z 2022-11-23T01:37:54.6017123Z 2022-11-23T01:37:54.6017216Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6017284Z import torch 2022-11-23T01:37:54.6017354Z import random 2022-11-23T01:37:54.6017467Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6017586Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6017591Z 2022-11-23T01:37:54.6017656Z aten = torch.ops.aten 2022-11-23T01:37:54.6017786Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6017880Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6017885Z 2022-11-23T01:37:54.6017888Z 2022-11-23T01:37:54.6017976Z async_compile.wait(globals()) 2022-11-23T01:37:54.6018046Z del async_compile 2022-11-23T01:37:54.6018051Z 2022-11-23T01:37:54.6018118Z def call(args): 2022-11-23T01:37:54.6018236Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6018307Z args.clear() 2022-11-23T01:37:54.6018428Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 1) 2022-11-23T01:37:54.6018537Z assert_size_stride(buf0, (1, 32, 112, 112), (401408, 1, 3584, 32)) 2022-11-23T01:37:54.6018603Z del arg0_1 2022-11-23T01:37:54.6018669Z del arg1_1 2022-11-23T01:37:54.6018857Z del arg7_1 2022-11-23T01:37:54.6018978Z return (buf0, ) 2022-11-23T01:37:54.6018987Z 2022-11-23T01:37:54.6018993Z 2022-11-23T01:37:54.6019090Z if __name__ == "__main__": 2022-11-23T01:37:54.6019198Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6019320Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6019539Z arg0_1 = rand_strided((32, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6019737Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6019935Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6020128Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6020317Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6020506Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6020674Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6020899Z arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6021057Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6021440Z [2022-11-23 01:30:49,186] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5p/c5prxerzath5veg7zvjocivp2rmk5qlzyrvbpy3lfr2hcvfquhzd.py 2022-11-23T01:37:54.6021775Z [2022-11-23 01:30:49,186] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 97 2022-11-23T01:37:54.6022023Z [2022-11-23 01:30:49,202] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6022297Z [2022-11-23 01:30:49,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6022518Z [2022-11-23 01:30:49,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6022765Z [2022-11-23 01:30:49,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6023033Z [2022-11-23 01:30:49,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6023395Z [2022-11-23 01:30:49,202] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6023650Z [2022-11-23 01:30:49,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6023889Z [2022-11-23 01:30:49,216] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6024145Z [2022-11-23 01:30:49,217] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6024398Z [2022-11-23 01:30:49,234] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6024591Z [2022-11-23 01:30:49,234] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6024726Z __compiled_fn_99 .823 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6024820Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6024906Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6025003Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6025008Z 2022-11-23T01:37:54.6025289Z [2022-11-23 01:30:49,235] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6025382Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6025473Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6025566Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6025656Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6025730Z 8 RETURN_VALUE 2022-11-23T01:37:54.6025736Z 2022-11-23T01:37:54.6025783Z 2022-11-23T01:37:54.6026062Z [2022-11-23 01:30:49,235] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6026174Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_99) 2022-11-23T01:37:54.6026265Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6026354Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6026429Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6026517Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6026597Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6026671Z 12 RETURN_VALUE 2022-11-23T01:37:54.6026676Z 2022-11-23T01:37:54.6026735Z 2022-11-23T01:37:54.6026921Z [2022-11-23 01:30:49,236] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6026995Z - 2022-11-23T01:37:54.6027115Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6027179Z { 2022-11-23T01:37:54.6027310Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6027495Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6027617Z 'obj_weakref': None 2022-11-23T01:37:54.6027847Z 'guarded_class': 2022-11-23T01:37:54.6027910Z } 2022-11-23T01:37:54.6027974Z 2022-11-23T01:37:54.6028045Z - 2022-11-23T01:37:54.6028227Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6028295Z { 2022-11-23T01:37:54.6028482Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6028600Z 'code': None, 2022-11-23T01:37:54.6028820Z 'obj_weakref': 2022-11-23T01:37:54.6029077Z 'guarded_class': 2022-11-23T01:37:54.6029141Z } 2022-11-23T01:37:54.6029204Z 2022-11-23T01:37:54.6029263Z - 2022-11-23T01:37:54.6029384Z local 'model' NN_MODULE 2022-11-23T01:37:54.6029447Z { 2022-11-23T01:37:54.6029620Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6029793Z 'code': ['___check_obj_id(model, 140538744479440)'], 2022-11-23T01:37:54.6030015Z 'obj_weakref': 2022-11-23T01:37:54.6030253Z 'guarded_class': 2022-11-23T01:37:54.6030307Z } 2022-11-23T01:37:54.6030370Z 2022-11-23T01:37:54.6030440Z - 2022-11-23T01:37:54.6030565Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6030626Z { 2022-11-23T01:37:54.6030767Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6030978Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6031100Z 'obj_weakref': None 2022-11-23T01:37:54.6031326Z 'guarded_class': 2022-11-23T01:37:54.6031396Z } 2022-11-23T01:37:54.6031461Z 2022-11-23T01:37:54.6031535Z - 2022-11-23T01:37:54.6031685Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6031735Z { 2022-11-23T01:37:54.6031860Z 'guard_types': None, 2022-11-23T01:37:54.6031973Z 'code': None, 2022-11-23T01:37:54.6032097Z 'obj_weakref': None 2022-11-23T01:37:54.6032224Z 'guarded_class': None 2022-11-23T01:37:54.6032287Z } 2022-11-23T01:37:54.6032350Z 2022-11-23T01:37:54.6032408Z - 2022-11-23T01:37:54.6032560Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6032626Z { 2022-11-23T01:37:54.6032749Z 'guard_types': None, 2022-11-23T01:37:54.6032860Z 'code': None, 2022-11-23T01:37:54.6032981Z 'obj_weakref': None 2022-11-23T01:37:54.6033107Z 'guarded_class': None 2022-11-23T01:37:54.6033160Z } 2022-11-23T01:37:54.6033223Z 2022-11-23T01:37:54.6033485Z [2022-11-23 01:30:49,245] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 98 2022-11-23T01:37:54.6033865Z [2022-11-23 01:30:49,250] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/or/corlpjgxuxz6dsfs7yuccyybs2nj6kku2ewgi6byzmvph5fzxc2k.py 2022-11-23T01:37:54.6034135Z [2022-11-23 01:30:49,251] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 98 2022-11-23T01:37:54.6034378Z [2022-11-23 01:30:49,294] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6034650Z [2022-11-23 01:30:49,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6034874Z [2022-11-23 01:30:49,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6035107Z [2022-11-23 01:30:49,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6035392Z [2022-11-23 01:30:49,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6035709Z [2022-11-23 01:30:49,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6035992Z [2022-11-23 01:30:49,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6036235Z [2022-11-23 01:30:49,309] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6036497Z [2022-11-23 01:30:49,310] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6036751Z [2022-11-23 01:30:49,328] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6036945Z [2022-11-23 01:30:49,328] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6037126Z __compiled_fn_100 .834 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6037204Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6037306Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6037402Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6037408Z 2022-11-23T01:37:54.6037693Z [2022-11-23 01:30:49,328] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6037789Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6037882Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6037978Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6038070Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6038133Z 8 RETURN_VALUE 2022-11-23T01:37:54.6038138Z 2022-11-23T01:37:54.6038203Z 2022-11-23T01:37:54.6038480Z [2022-11-23 01:30:49,328] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6038593Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_100) 2022-11-23T01:37:54.6038685Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6038776Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6038854Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6038943Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6039021Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6039095Z 12 RETURN_VALUE 2022-11-23T01:37:54.6039100Z 2022-11-23T01:37:54.6039159Z 2022-11-23T01:37:54.6039344Z [2022-11-23 01:30:49,329] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6039414Z - 2022-11-23T01:37:54.6039535Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6039598Z { 2022-11-23T01:37:54.6039729Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6039921Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6040047Z 'obj_weakref': None 2022-11-23T01:37:54.6040274Z 'guarded_class': 2022-11-23T01:37:54.6040338Z } 2022-11-23T01:37:54.6040402Z 2022-11-23T01:37:54.6040473Z - 2022-11-23T01:37:54.6040587Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6040652Z { 2022-11-23T01:37:54.6040795Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6040904Z 'code': None, 2022-11-23T01:37:54.6041119Z 'obj_weakref': 2022-11-23T01:37:54.6041380Z 'guarded_class': 2022-11-23T01:37:54.6041443Z } 2022-11-23T01:37:54.6041493Z 2022-11-23T01:37:54.6041563Z - 2022-11-23T01:37:54.6041683Z local 'model' NN_MODULE 2022-11-23T01:37:54.6041748Z { 2022-11-23T01:37:54.6041884Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6042055Z 'code': ['___check_obj_id(model, 140538744479440)'], 2022-11-23T01:37:54.6042277Z 'obj_weakref': 2022-11-23T01:37:54.6042534Z 'guarded_class': 2022-11-23T01:37:54.6042605Z } 2022-11-23T01:37:54.6042669Z 2022-11-23T01:37:54.6042740Z - 2022-11-23T01:37:54.6042863Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6042924Z { 2022-11-23T01:37:54.6043064Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6043271Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6043392Z 'obj_weakref': None 2022-11-23T01:37:54.6043615Z 'guarded_class': 2022-11-23T01:37:54.6043709Z } 2022-11-23T01:37:54.6043769Z 2022-11-23T01:37:54.6043840Z - 2022-11-23T01:37:54.6043989Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6044039Z { 2022-11-23T01:37:54.6044160Z 'guard_types': None, 2022-11-23T01:37:54.6044271Z 'code': None, 2022-11-23T01:37:54.6044391Z 'obj_weakref': None 2022-11-23T01:37:54.6044540Z 'guarded_class': None 2022-11-23T01:37:54.6044637Z } 2022-11-23T01:37:54.6044731Z 2022-11-23T01:37:54.6044795Z - 2022-11-23T01:37:54.6044940Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6045005Z { 2022-11-23T01:37:54.6045126Z 'guard_types': None, 2022-11-23T01:37:54.6045235Z 'code': None, 2022-11-23T01:37:54.6045354Z 'obj_weakref': None 2022-11-23T01:37:54.6045467Z 'guarded_class': None 2022-11-23T01:37:54.6045529Z } 2022-11-23T01:37:54.6045592Z 2022-11-23T01:37:54.6045856Z [2022-11-23 01:30:49,340] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 99 2022-11-23T01:37:54.6046236Z [2022-11-23 01:30:49,345] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ij/cijnfux3uansbazibtw345rwikdm4tlxknsq7f4h3gzzzyxnzqeu.py 2022-11-23T01:37:54.6046504Z [2022-11-23 01:30:49,345] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 99 2022-11-23T01:37:54.6046744Z [2022-11-23 01:30:49,388] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6047013Z [2022-11-23 01:30:49,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6047233Z [2022-11-23 01:30:49,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6047469Z [2022-11-23 01:30:49,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6047745Z [2022-11-23 01:30:49,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6048067Z [2022-11-23 01:30:49,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6048320Z [2022-11-23 01:30:49,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6048561Z [2022-11-23 01:30:49,402] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6048819Z [2022-11-23 01:30:49,403] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6049070Z [2022-11-23 01:30:49,419] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6049266Z [2022-11-23 01:30:49,420] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6049397Z __compiled_fn_101 .845 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6049474Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6049571Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6049670Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6049714Z 2022-11-23T01:37:54.6049999Z [2022-11-23 01:30:49,420] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6050095Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6050186Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6050281Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6050371Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6050435Z 8 RETURN_VALUE 2022-11-23T01:37:54.6050441Z 2022-11-23T01:37:54.6050500Z 2022-11-23T01:37:54.6050813Z [2022-11-23 01:30:49,420] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6050925Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_101) 2022-11-23T01:37:54.6051013Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6051102Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6051180Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6051256Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6051349Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6051423Z 12 RETURN_VALUE 2022-11-23T01:37:54.6051427Z 2022-11-23T01:37:54.6051486Z 2022-11-23T01:37:54.6051673Z [2022-11-23 01:30:49,421] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6051749Z - 2022-11-23T01:37:54.6051870Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6051921Z { 2022-11-23T01:37:54.6052065Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6052256Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6052381Z 'obj_weakref': None 2022-11-23T01:37:54.6052608Z 'guarded_class': 2022-11-23T01:37:54.6052674Z } 2022-11-23T01:37:54.6052734Z 2022-11-23T01:37:54.6052792Z - 2022-11-23T01:37:54.6052921Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6052985Z { 2022-11-23T01:37:54.6053128Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6053238Z 'code': None, 2022-11-23T01:37:54.6053455Z 'obj_weakref': 2022-11-23T01:37:54.6053710Z 'guarded_class': 2022-11-23T01:37:54.6053771Z } 2022-11-23T01:37:54.6053820Z 2022-11-23T01:37:54.6053894Z - 2022-11-23T01:37:54.6054016Z local 'model' NN_MODULE 2022-11-23T01:37:54.6054080Z { 2022-11-23T01:37:54.6054215Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6054385Z 'code': ['___check_obj_id(model, 140538913465488)'], 2022-11-23T01:37:54.6054603Z 'obj_weakref': 2022-11-23T01:37:54.6054842Z 'guarded_class': 2022-11-23T01:37:54.6054905Z } 2022-11-23T01:37:54.6054968Z 2022-11-23T01:37:54.6055041Z - 2022-11-23T01:37:54.6055220Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6055320Z { 2022-11-23T01:37:54.6055497Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6055785Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6055917Z 'obj_weakref': None 2022-11-23T01:37:54.6056144Z 'guarded_class': 2022-11-23T01:37:54.6056208Z } 2022-11-23T01:37:54.6056272Z 2022-11-23T01:37:54.6056342Z - 2022-11-23T01:37:54.6056476Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6056541Z { 2022-11-23T01:37:54.6056734Z 'guard_types': None, 2022-11-23T01:37:54.6056848Z 'code': None, 2022-11-23T01:37:54.6056969Z 'obj_weakref': None 2022-11-23T01:37:54.6057093Z 'guarded_class': None 2022-11-23T01:37:54.6057155Z } 2022-11-23T01:37:54.6057204Z 2022-11-23T01:37:54.6057273Z - 2022-11-23T01:37:54.6057421Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6057486Z { 2022-11-23T01:37:54.6057608Z 'guard_types': None, 2022-11-23T01:37:54.6057715Z 'code': None, 2022-11-23T01:37:54.6057869Z 'obj_weakref': None 2022-11-23T01:37:54.6057978Z 'guarded_class': None 2022-11-23T01:37:54.6058041Z } 2022-11-23T01:37:54.6058104Z 2022-11-23T01:37:54.6058374Z [2022-11-23 01:30:49,430] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 100 2022-11-23T01:37:54.6058894Z [2022-11-23 01:30:49,435] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/m7/cm72mgnroaydldfhwsnwrfwyqmzgsgmpxazzx54i4symsnfd7j2s.py 2022-11-23T01:37:54.6059222Z [2022-11-23 01:30:49,436] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 100 2022-11-23T01:37:54.6059464Z [2022-11-23 01:30:49,449] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6059738Z [2022-11-23 01:30:49,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6059946Z [2022-11-23 01:30:49,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6060198Z [2022-11-23 01:30:49,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6060479Z [2022-11-23 01:30:49,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6060800Z [2022-11-23 01:30:49,449] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6061051Z [2022-11-23 01:30:49,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6061290Z [2022-11-23 01:30:49,463] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6061550Z [2022-11-23 01:30:49,464] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6061802Z [2022-11-23 01:30:49,480] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6061998Z [2022-11-23 01:30:49,480] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6062120Z __compiled_fn_102 .856 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6062212Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6062309Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6062412Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6062417Z 2022-11-23T01:37:54.6062702Z [2022-11-23 01:30:49,480] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6062798Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6062890Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6062985Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6063062Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6063136Z 8 RETURN_VALUE 2022-11-23T01:37:54.6063144Z 2022-11-23T01:37:54.6063203Z 2022-11-23T01:37:54.6063477Z [2022-11-23 01:30:49,481] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6063586Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_102) 2022-11-23T01:37:54.6063675Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6063826Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6063907Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6063982Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6064075Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6064150Z 12 RETURN_VALUE 2022-11-23T01:37:54.6064155Z 2022-11-23T01:37:54.6064215Z 2022-11-23T01:37:54.6064403Z [2022-11-23 01:30:49,481] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6064474Z - 2022-11-23T01:37:54.6064596Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6064647Z { 2022-11-23T01:37:54.6064834Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6065024Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6065146Z 'obj_weakref': None 2022-11-23T01:37:54.6065371Z 'guarded_class': 2022-11-23T01:37:54.6065434Z } 2022-11-23T01:37:54.6065498Z 2022-11-23T01:37:54.6065555Z - 2022-11-23T01:37:54.6065681Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6065744Z { 2022-11-23T01:37:54.6065889Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6065998Z 'code': None, 2022-11-23T01:37:54.6066212Z 'obj_weakref': 2022-11-23T01:37:54.6066580Z 'guarded_class': 2022-11-23T01:37:54.6066637Z } 2022-11-23T01:37:54.6066730Z 2022-11-23T01:37:54.6066847Z - 2022-11-23T01:37:54.6067005Z local 'model' NN_MODULE 2022-11-23T01:37:54.6067069Z { 2022-11-23T01:37:54.6067208Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6067379Z 'code': ['___check_obj_id(model, 140538913465488)'], 2022-11-23T01:37:54.6067594Z 'obj_weakref': 2022-11-23T01:37:54.6067832Z 'guarded_class': 2022-11-23T01:37:54.6067897Z } 2022-11-23T01:37:54.6067958Z 2022-11-23T01:37:54.6068028Z - 2022-11-23T01:37:54.6068230Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6068299Z { 2022-11-23T01:37:54.6068429Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6068650Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6068778Z 'obj_weakref': None 2022-11-23T01:37:54.6069001Z 'guarded_class': 2022-11-23T01:37:54.6069071Z } 2022-11-23T01:37:54.6069136Z 2022-11-23T01:37:54.6069213Z - 2022-11-23T01:37:54.6069351Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6069418Z { 2022-11-23T01:37:54.6069540Z 'guard_types': None, 2022-11-23T01:37:54.6069653Z 'code': None, 2022-11-23T01:37:54.6069773Z 'obj_weakref': None 2022-11-23T01:37:54.6069898Z 'guarded_class': None 2022-11-23T01:37:54.6069964Z } 2022-11-23T01:37:54.6070014Z 2022-11-23T01:37:54.6070085Z - 2022-11-23T01:37:54.6070232Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6070296Z { 2022-11-23T01:37:54.6070416Z 'guard_types': None, 2022-11-23T01:37:54.6070528Z 'code': None, 2022-11-23T01:37:54.6070635Z 'obj_weakref': None 2022-11-23T01:37:54.6070757Z 'guarded_class': None 2022-11-23T01:37:54.6070820Z } 2022-11-23T01:37:54.6070883Z 2022-11-23T01:37:54.6071196Z [2022-11-23 01:30:49,491] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 101 2022-11-23T01:37:54.6071573Z [2022-11-23 01:30:49,496] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/d5/cd5hne224xqpmbz2iwctwmn3ftlihzfntp675knd3uggo3gsrfrp.py 2022-11-23T01:37:54.6071845Z [2022-11-23 01:30:49,496] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 101 2022-11-23T01:37:54.6072086Z [2022-11-23 01:30:49,511] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6072344Z [2022-11-23 01:30:49,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6072595Z [2022-11-23 01:30:49,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6072845Z [2022-11-23 01:30:49,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6073129Z [2022-11-23 01:30:49,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6073450Z [2022-11-23 01:30:49,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6073701Z [2022-11-23 01:30:49,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6073941Z [2022-11-23 01:30:49,526] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6074197Z [2022-11-23 01:30:49,526] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6074453Z [2022-11-23 01:30:49,543] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6074647Z [2022-11-23 01:30:49,544] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6074769Z __compiled_fn_103 .867 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6081560Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6081737Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6081831Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6081853Z 2022-11-23T01:37:54.6082166Z [2022-11-23 01:30:49,544] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6082264Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6082356Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6082449Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6082539Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6082623Z 8 RETURN_VALUE 2022-11-23T01:37:54.6082629Z 2022-11-23T01:37:54.6082690Z 2022-11-23T01:37:54.6082962Z [2022-11-23 01:30:49,544] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6083074Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_103) 2022-11-23T01:37:54.6083167Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6083259Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6083336Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6083425Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6083514Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6083590Z 12 RETURN_VALUE 2022-11-23T01:37:54.6083595Z 2022-11-23T01:37:54.6083642Z 2022-11-23T01:37:54.6083833Z [2022-11-23 01:30:49,545] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6083908Z - 2022-11-23T01:37:54.6084033Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6084099Z { 2022-11-23T01:37:54.6084247Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6084437Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6084547Z 'obj_weakref': None 2022-11-23T01:37:54.6084856Z 'guarded_class': 2022-11-23T01:37:54.6084926Z } 2022-11-23T01:37:54.6084992Z 2022-11-23T01:37:54.6085068Z - 2022-11-23T01:37:54.6085188Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6085252Z { 2022-11-23T01:37:54.6085386Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6085496Z 'code': None, 2022-11-23T01:37:54.6085715Z 'obj_weakref': 2022-11-23T01:37:54.6085972Z 'guarded_class': 2022-11-23T01:37:54.6086077Z } 2022-11-23T01:37:54.6086139Z 2022-11-23T01:37:54.6086214Z - 2022-11-23T01:37:54.6086324Z local 'model' NN_MODULE 2022-11-23T01:37:54.6086387Z { 2022-11-23T01:37:54.6086523Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6086700Z 'code': ['___check_obj_id(model, 140538743733456)'], 2022-11-23T01:37:54.6086918Z 'obj_weakref': 2022-11-23T01:37:54.6087157Z 'guarded_class': 2022-11-23T01:37:54.6087222Z } 2022-11-23T01:37:54.6087271Z 2022-11-23T01:37:54.6087344Z - 2022-11-23T01:37:54.6087468Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6087531Z { 2022-11-23T01:37:54.6087671Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6087894Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6088016Z 'obj_weakref': None 2022-11-23T01:37:54.6088224Z 'guarded_class': 2022-11-23T01:37:54.6088288Z } 2022-11-23T01:37:54.6088352Z 2022-11-23T01:37:54.6088426Z - 2022-11-23T01:37:54.6088578Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6088642Z { 2022-11-23T01:37:54.6088763Z 'guard_types': None, 2022-11-23T01:37:54.6088859Z 'code': None, 2022-11-23T01:37:54.6088977Z 'obj_weakref': None 2022-11-23T01:37:54.6089100Z 'guarded_class': None 2022-11-23T01:37:54.6089165Z } 2022-11-23T01:37:54.6089229Z 2022-11-23T01:37:54.6089304Z - 2022-11-23T01:37:54.6089437Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6089504Z { 2022-11-23T01:37:54.6089629Z 'guard_types': None, 2022-11-23T01:37:54.6089737Z 'code': None, 2022-11-23T01:37:54.6089857Z 'obj_weakref': None 2022-11-23T01:37:54.6089982Z 'guarded_class': None 2022-11-23T01:37:54.6090050Z } 2022-11-23T01:37:54.6090099Z 2022-11-23T01:37:54.6090366Z [2022-11-23 01:30:49,555] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 102 2022-11-23T01:37:54.6090748Z [2022-11-23 01:30:49,560] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i2/ci2yxxcymttmoi3aus43srazullzlsf5zsjiog5ovwktdn2orvqr.py 2022-11-23T01:37:54.6091020Z [2022-11-23 01:30:49,560] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 102 2022-11-23T01:37:54.6091260Z [2022-11-23 01:30:49,608] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6091534Z [2022-11-23 01:30:49,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6091756Z [2022-11-23 01:30:49,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6092002Z [2022-11-23 01:30:49,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6092318Z [2022-11-23 01:30:49,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6092627Z [2022-11-23 01:30:49,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6092881Z [2022-11-23 01:30:49,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6093116Z [2022-11-23 01:30:49,622] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6093374Z [2022-11-23 01:30:49,623] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6093689Z [2022-11-23 01:30:49,640] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6093884Z [2022-11-23 01:30:49,641] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6094017Z __compiled_fn_104 .878 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6094112Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6094212Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6094299Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6094304Z 2022-11-23T01:37:54.6094588Z [2022-11-23 01:30:49,641] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6094681Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6094772Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6094866Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6094960Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6095038Z 8 RETURN_VALUE 2022-11-23T01:37:54.6095043Z 2022-11-23T01:37:54.6095103Z 2022-11-23T01:37:54.6095365Z [2022-11-23 01:30:49,641] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6095478Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_104) 2022-11-23T01:37:54.6095569Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6095658Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6095736Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6095824Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6095916Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6095978Z 12 RETURN_VALUE 2022-11-23T01:37:54.6095983Z 2022-11-23T01:37:54.6096046Z 2022-11-23T01:37:54.6096229Z [2022-11-23 01:30:49,642] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6096305Z - 2022-11-23T01:37:54.6096430Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6096495Z { 2022-11-23T01:37:54.6096642Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6096820Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6096943Z 'obj_weakref': None 2022-11-23T01:37:54.6097171Z 'guarded_class': 2022-11-23T01:37:54.6097237Z } 2022-11-23T01:37:54.6097302Z 2022-11-23T01:37:54.6097372Z - 2022-11-23T01:37:54.6097498Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6097549Z { 2022-11-23T01:37:54.6097693Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6097805Z 'code': None, 2022-11-23T01:37:54.6098020Z 'obj_weakref': 2022-11-23T01:37:54.6098281Z 'guarded_class': 2022-11-23T01:37:54.6098366Z } 2022-11-23T01:37:54.6098472Z 2022-11-23T01:37:54.6098572Z - 2022-11-23T01:37:54.6098714Z local 'model' NN_MODULE 2022-11-23T01:37:54.6098931Z { 2022-11-23T01:37:54.6099218Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6099403Z 'code': ['___check_obj_id(model, 140538743733456)'], 2022-11-23T01:37:54.6099631Z 'obj_weakref': 2022-11-23T01:37:54.6099875Z 'guarded_class': 2022-11-23T01:37:54.6099939Z } 2022-11-23T01:37:54.6099988Z 2022-11-23T01:37:54.6100060Z - 2022-11-23T01:37:54.6100184Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6100249Z { 2022-11-23T01:37:54.6100447Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6100675Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6100784Z 'obj_weakref': None 2022-11-23T01:37:54.6101006Z 'guarded_class': 2022-11-23T01:37:54.6101072Z } 2022-11-23T01:37:54.6101136Z 2022-11-23T01:37:54.6101206Z - 2022-11-23T01:37:54.6101356Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6101424Z { 2022-11-23T01:37:54.6101535Z 'guard_types': None, 2022-11-23T01:37:54.6101646Z 'code': None, 2022-11-23T01:37:54.6101767Z 'obj_weakref': None 2022-11-23T01:37:54.6101890Z 'guarded_class': None 2022-11-23T01:37:54.6101956Z } 2022-11-23T01:37:54.6102017Z 2022-11-23T01:37:54.6102090Z - 2022-11-23T01:37:54.6102224Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6102294Z { 2022-11-23T01:37:54.6102419Z 'guard_types': None, 2022-11-23T01:37:54.6102528Z 'code': None, 2022-11-23T01:37:54.6102646Z 'obj_weakref': None 2022-11-23T01:37:54.6102771Z 'guarded_class': None 2022-11-23T01:37:54.6102835Z } 2022-11-23T01:37:54.6102886Z 2022-11-23T01:37:54.6103149Z [2022-11-23 01:30:49,651] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 103 2022-11-23T01:37:54.6103155Z 2022-11-23T01:37:54.6103160Z 2022-11-23T01:37:54.6103257Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6103326Z import torch 2022-11-23T01:37:54.6103399Z import random 2022-11-23T01:37:54.6103513Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6103635Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6103640Z 2022-11-23T01:37:54.6103717Z aten = torch.ops.aten 2022-11-23T01:37:54.6103841Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6103932Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6103937Z 2022-11-23T01:37:54.6103941Z 2022-11-23T01:37:54.6104027Z async_compile.wait(globals()) 2022-11-23T01:37:54.6104098Z del async_compile 2022-11-23T01:37:54.6104102Z 2022-11-23T01:37:54.6104171Z def call(args): 2022-11-23T01:37:54.6104296Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6104368Z args.clear() 2022-11-23T01:37:54.6104494Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 4) 2022-11-23T01:37:54.6104607Z assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 12544, 112, 1)) 2022-11-23T01:37:54.6104675Z del arg0_1 2022-11-23T01:37:54.6104739Z del arg1_1 2022-11-23T01:37:54.6104807Z del arg7_1 2022-11-23T01:37:54.6104877Z return (buf0, ) 2022-11-23T01:37:54.6104882Z 2022-11-23T01:37:54.6104886Z 2022-11-23T01:37:54.6104966Z if __name__ == "__main__": 2022-11-23T01:37:54.6105080Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6105190Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6105408Z arg0_1 = rand_strided((128, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6105641Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6105841Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6106036Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6106227Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6106419Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6106601Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6106818Z arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6107016Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6107022Z 2022-11-23T01:37:54.6107026Z 2022-11-23T01:37:54.6107120Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6107192Z import torch 2022-11-23T01:37:54.6107261Z import random 2022-11-23T01:37:54.6107378Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6107499Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6107504Z 2022-11-23T01:37:54.6107581Z aten = torch.ops.aten 2022-11-23T01:37:54.6107703Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6107796Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6107801Z 2022-11-23T01:37:54.6107805Z 2022-11-23T01:37:54.6107893Z async_compile.wait(globals()) 2022-11-23T01:37:54.6107965Z del async_compile 2022-11-23T01:37:54.6107970Z 2022-11-23T01:37:54.6108041Z def call(args): 2022-11-23T01:37:54.6108243Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6108319Z args.clear() 2022-11-23T01:37:54.6108453Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 4) 2022-11-23T01:37:54.6108553Z assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 1, 14336, 128)) 2022-11-23T01:37:54.6108622Z del arg0_1 2022-11-23T01:37:54.6108690Z del arg1_1 2022-11-23T01:37:54.6108756Z del arg7_1 2022-11-23T01:37:54.6108827Z return (buf0, ) 2022-11-23T01:37:54.6108831Z 2022-11-23T01:37:54.6108835Z 2022-11-23T01:37:54.6108911Z if __name__ == "__main__": 2022-11-23T01:37:54.6109025Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6109134Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6109356Z arg0_1 = rand_strided((128, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6109554Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6109756Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6109953Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6110146Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6110342Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6110527Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6110743Z arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6110901Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6110906Z 2022-11-23T01:37:54.6110911Z 2022-11-23T01:37:54.6111004Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6111073Z import torch 2022-11-23T01:37:54.6111149Z import random 2022-11-23T01:37:54.6111264Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6111382Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6111387Z 2022-11-23T01:37:54.6111460Z aten = torch.ops.aten 2022-11-23T01:37:54.6111598Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6111726Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6111732Z 2022-11-23T01:37:54.6111736Z 2022-11-23T01:37:54.6111824Z async_compile.wait(globals()) 2022-11-23T01:37:54.6111899Z del async_compile 2022-11-23T01:37:54.6111904Z 2022-11-23T01:37:54.6111972Z def call(args): 2022-11-23T01:37:54.6112077Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6112146Z args.clear() 2022-11-23T01:37:54.6112279Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 1) 2022-11-23T01:37:54.6112392Z assert_size_stride(buf0, (1, 32, 112, 112), (401408, 12544, 112, 1)) 2022-11-23T01:37:54.6112495Z del arg0_1 2022-11-23T01:37:54.6112559Z del arg1_1 2022-11-23T01:37:54.6112623Z del arg7_1 2022-11-23T01:37:54.6112683Z return (buf0, ) 2022-11-23T01:37:54.6112688Z 2022-11-23T01:37:54.6112704Z 2022-11-23T01:37:54.6112766Z if __name__ == "__main__": 2022-11-23T01:37:54.6112883Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6113009Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6113227Z arg0_1 = rand_strided((32, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6113423Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6113617Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6113810Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6113988Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6114180Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6114361Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6114588Z arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6114749Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6114755Z 2022-11-23T01:37:54.6114759Z 2022-11-23T01:37:54.6114854Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6114923Z import torch 2022-11-23T01:37:54.6114996Z import random 2022-11-23T01:37:54.6115100Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6115224Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6115228Z 2022-11-23T01:37:54.6115308Z aten = torch.ops.aten 2022-11-23T01:37:54.6115444Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6115537Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6115545Z 2022-11-23T01:37:54.6115549Z 2022-11-23T01:37:54.6115638Z async_compile.wait(globals()) 2022-11-23T01:37:54.6115710Z del async_compile 2022-11-23T01:37:54.6115715Z 2022-11-23T01:37:54.6115787Z def call(args): 2022-11-23T01:37:54.6115894Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6115968Z args.clear() 2022-11-23T01:37:54.6116104Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 1) 2022-11-23T01:37:54.6116219Z assert_size_stride(buf0, (1, 32, 112, 112), (401408, 1, 3584, 32)) 2022-11-23T01:37:54.6116288Z del arg0_1 2022-11-23T01:37:54.6116358Z del arg1_1 2022-11-23T01:37:54.6116428Z del arg7_1 2022-11-23T01:37:54.6116486Z return (buf0, ) 2022-11-23T01:37:54.6116504Z 2022-11-23T01:37:54.6116508Z 2022-11-23T01:37:54.6116569Z if __name__ == "__main__": 2022-11-23T01:37:54.6116683Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6116808Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6117023Z arg0_1 = rand_strided((32, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6117221Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6117416Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6117638Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6117831Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6118006Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6118188Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6118413Z arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6118571Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6118604Z 2022-11-23T01:37:54.6118608Z 2022-11-23T01:37:54.6118706Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6118775Z import torch 2022-11-23T01:37:54.6118849Z import random 2022-11-23T01:37:54.6118966Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6119075Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6119080Z 2022-11-23T01:37:54.6119159Z aten = torch.ops.aten 2022-11-23T01:37:54.6119295Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6119386Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6119392Z 2022-11-23T01:37:54.6119396Z 2022-11-23T01:37:54.6119491Z async_compile.wait(globals()) 2022-11-23T01:37:54.6119567Z del async_compile 2022-11-23T01:37:54.6119572Z 2022-11-23T01:37:54.6119643Z def call(args): 2022-11-23T01:37:54.6119762Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6119822Z args.clear() 2022-11-23T01:37:54.6119958Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 4) 2022-11-23T01:37:54.6120073Z assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 12544, 112, 1)) 2022-11-23T01:37:54.6120142Z del arg0_1 2022-11-23T01:37:54.6120211Z del arg1_1 2022-11-23T01:37:54.6120278Z del arg7_1 2022-11-23T01:37:54.6120354Z return (buf0, ) 2022-11-23T01:37:54.6120359Z 2022-11-23T01:37:54.6120362Z 2022-11-23T01:37:54.6120426Z if __name__ == "__main__": 2022-11-23T01:37:54.6120540Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6120663Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6120881Z arg0_1 = rand_strided((128, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6121077Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6121274Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6121467Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6121658Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6121835Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6122017Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6122244Z arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6122399Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6122404Z 2022-11-23T01:37:54.6122408Z 2022-11-23T01:37:54.6122503Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6122572Z import torch 2022-11-23T01:37:54.6122639Z import random 2022-11-23T01:37:54.6122751Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6122858Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6122876Z 2022-11-23T01:37:54.6122943Z aten = torch.ops.aten 2022-11-23T01:37:54.6123074Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6123164Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6123169Z 2022-11-23T01:37:54.6123173Z 2022-11-23T01:37:54.6123257Z async_compile.wait(globals()) 2022-11-23T01:37:54.6123359Z del async_compile 2022-11-23T01:37:54.6123364Z 2022-11-23T01:37:54.6123438Z def call(args): 2022-11-23T01:37:54.6123557Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6123617Z args.clear() 2022-11-23T01:37:54.6123752Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 4) 2022-11-23T01:37:54.6123863Z assert_size_stride(buf0, (1, 128, 112, 112), (1605632, 1, 14336, 128)) 2022-11-23T01:37:54.6123929Z del arg0_1 2022-11-23T01:37:54.6123993Z del arg1_1 2022-11-23T01:37:54.6124057Z del arg7_1 2022-11-23T01:37:54.6124164Z return (buf0, ) 2022-11-23T01:37:54.6124169Z 2022-11-23T01:37:54.6124173Z 2022-11-23T01:37:54.6124246Z if __name__ == "__main__": 2022-11-23T01:37:54.6124346Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6124467Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6124685Z arg0_1 = rand_strided((128, 3, 1, 1), (3, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6124880Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6125074Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6125264Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6125458Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6125649Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6125816Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6126043Z arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6126198Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6126574Z [2022-11-23 01:30:49,656] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/px/cpx3xs33qdv33dvpqv2ac2ttf5hpsz7rbvfdrbfaz744dtzrdsln.py 2022-11-23T01:37:54.6126845Z [2022-11-23 01:30:49,656] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 103 2022-11-23T01:37:54.6127088Z [2022-11-23 01:30:49,711] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6127360Z [2022-11-23 01:30:49,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6127581Z [2022-11-23 01:30:49,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6127829Z [2022-11-23 01:30:49,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6128094Z [2022-11-23 01:30:49,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6128412Z [2022-11-23 01:30:49,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6128661Z [2022-11-23 01:30:49,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6128899Z [2022-11-23 01:30:49,725] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6129152Z [2022-11-23 01:30:49,726] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6129406Z [2022-11-23 01:30:49,741] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6129599Z [2022-11-23 01:30:49,742] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6129733Z __compiled_fn_105 .889 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6129820Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6129908Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6130039Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6130046Z 2022-11-23T01:37:54.6130326Z [2022-11-23 01:30:49,742] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6130419Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6130509Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6130600Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6130689Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6130753Z 8 RETURN_VALUE 2022-11-23T01:37:54.6130771Z 2022-11-23T01:37:54.6130848Z 2022-11-23T01:37:54.6131128Z [2022-11-23 01:30:49,742] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6131236Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_105) 2022-11-23T01:37:54.6131325Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6131415Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6131492Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6131580Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6131657Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6131731Z 12 RETURN_VALUE 2022-11-23T01:37:54.6131736Z 2022-11-23T01:37:54.6131793Z 2022-11-23T01:37:54.6131977Z [2022-11-23 01:30:49,743] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6132047Z - 2022-11-23T01:37:54.6132168Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6132232Z { 2022-11-23T01:37:54.6132363Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6132554Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6132677Z 'obj_weakref': None 2022-11-23T01:37:54.6132903Z 'guarded_class': 2022-11-23T01:37:54.6132966Z } 2022-11-23T01:37:54.6133031Z 2022-11-23T01:37:54.6133102Z - 2022-11-23T01:37:54.6133216Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6133278Z { 2022-11-23T01:37:54.6133422Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6133532Z 'code': None, 2022-11-23T01:37:54.6133748Z 'obj_weakref': 2022-11-23T01:37:54.6134004Z 'guarded_class': 2022-11-23T01:37:54.6134067Z } 2022-11-23T01:37:54.6134120Z 2022-11-23T01:37:54.6134189Z - 2022-11-23T01:37:54.6134310Z local 'model' NN_MODULE 2022-11-23T01:37:54.6134372Z { 2022-11-23T01:37:54.6134505Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6134677Z 'code': ['___check_obj_id(model, 140538746537552)'], 2022-11-23T01:37:54.6134907Z 'obj_weakref': 2022-11-23T01:37:54.6135132Z 'guarded_class': 2022-11-23T01:37:54.6135195Z } 2022-11-23T01:37:54.6135259Z 2022-11-23T01:37:54.6135330Z - 2022-11-23T01:37:54.6135452Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6135514Z { 2022-11-23T01:37:54.6135651Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6135859Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6135983Z 'obj_weakref': None 2022-11-23T01:37:54.6136207Z 'guarded_class': 2022-11-23T01:37:54.6136270Z } 2022-11-23T01:37:54.6136332Z 2022-11-23T01:37:54.6136400Z - 2022-11-23T01:37:54.6136549Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6136629Z { 2022-11-23T01:37:54.6136753Z 'guard_types': None, 2022-11-23T01:37:54.6136861Z 'code': None, 2022-11-23T01:37:54.6136981Z 'obj_weakref': None 2022-11-23T01:37:54.6137105Z 'guarded_class': None 2022-11-23T01:37:54.6137166Z } 2022-11-23T01:37:54.6137226Z 2022-11-23T01:37:54.6137284Z - 2022-11-23T01:37:54.6137429Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6137490Z { 2022-11-23T01:37:54.6137611Z 'guard_types': None, 2022-11-23T01:37:54.6137766Z 'code': None, 2022-11-23T01:37:54.6137886Z 'obj_weakref': None 2022-11-23T01:37:54.6138009Z 'guarded_class': None 2022-11-23T01:37:54.6138059Z } 2022-11-23T01:37:54.6138118Z 2022-11-23T01:37:54.6138379Z [2022-11-23 01:30:49,752] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 104 2022-11-23T01:37:54.6138888Z [2022-11-23 01:30:49,757] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/k6/ck6a3llsuycpro74cwmvio5agzgr3qjpmqljw63plljk2db4kgpx.py 2022-11-23T01:37:54.6139237Z [2022-11-23 01:30:49,757] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 104 2022-11-23T01:37:54.6139478Z [2022-11-23 01:30:49,770] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6139751Z [2022-11-23 01:30:49,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6139975Z [2022-11-23 01:30:49,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6140211Z [2022-11-23 01:30:49,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6140491Z [2022-11-23 01:30:49,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6140811Z [2022-11-23 01:30:49,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6141061Z [2022-11-23 01:30:49,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6141300Z [2022-11-23 01:30:49,785] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6141559Z [2022-11-23 01:30:49,786] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6141814Z [2022-11-23 01:30:49,802] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6142009Z [2022-11-23 01:30:49,802] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6142143Z __compiled_fn_106 .900 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6142222Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6142322Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6142421Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6142427Z 2022-11-23T01:37:54.6142708Z [2022-11-23 01:30:49,802] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6142807Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6142898Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6142990Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6143079Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6143146Z 8 RETURN_VALUE 2022-11-23T01:37:54.6143151Z 2022-11-23T01:37:54.6143210Z 2022-11-23T01:37:54.6143485Z [2022-11-23 01:30:49,802] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6143596Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_106) 2022-11-23T01:37:54.6143758Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6143849Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6143925Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6144001Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6144092Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6144166Z 12 RETURN_VALUE 2022-11-23T01:37:54.6144170Z 2022-11-23T01:37:54.6144232Z 2022-11-23T01:37:54.6144420Z [2022-11-23 01:30:49,803] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6144493Z - 2022-11-23T01:37:54.6144617Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6144712Z { 2022-11-23T01:37:54.6144858Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6145049Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6145171Z 'obj_weakref': None 2022-11-23T01:37:54.6145398Z 'guarded_class': 2022-11-23T01:37:54.6145464Z } 2022-11-23T01:37:54.6145526Z 2022-11-23T01:37:54.6145596Z - 2022-11-23T01:37:54.6145710Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6145774Z { 2022-11-23T01:37:54.6145917Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6146029Z 'code': None, 2022-11-23T01:37:54.6146246Z 'obj_weakref': 2022-11-23T01:37:54.6146501Z 'guarded_class': 2022-11-23T01:37:54.6146569Z } 2022-11-23T01:37:54.6146621Z 2022-11-23T01:37:54.6146693Z - 2022-11-23T01:37:54.6146815Z local 'model' NN_MODULE 2022-11-23T01:37:54.6146876Z { 2022-11-23T01:37:54.6147017Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6147192Z 'code': ['___check_obj_id(model, 140538746537552)'], 2022-11-23T01:37:54.6147415Z 'obj_weakref': 2022-11-23T01:37:54.6147639Z 'guarded_class': 2022-11-23T01:37:54.6147704Z } 2022-11-23T01:37:54.6147766Z 2022-11-23T01:37:54.6147836Z - 2022-11-23T01:37:54.6147960Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6148022Z { 2022-11-23T01:37:54.6148241Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6148456Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6148581Z 'obj_weakref': None 2022-11-23T01:37:54.6148804Z 'guarded_class': 2022-11-23T01:37:54.6148867Z } 2022-11-23T01:37:54.6148930Z 2022-11-23T01:37:54.6149002Z - 2022-11-23T01:37:54.6149152Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6149202Z { 2022-11-23T01:37:54.6149327Z 'guard_types': None, 2022-11-23T01:37:54.6149436Z 'code': None, 2022-11-23T01:37:54.6149557Z 'obj_weakref': None 2022-11-23T01:37:54.6149682Z 'guarded_class': None 2022-11-23T01:37:54.6149744Z } 2022-11-23T01:37:54.6149794Z 2022-11-23T01:37:54.6149864Z - 2022-11-23T01:37:54.6150010Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6150072Z { 2022-11-23T01:37:54.6150197Z 'guard_types': None, 2022-11-23T01:37:54.6150307Z 'code': None, 2022-11-23T01:37:54.6150428Z 'obj_weakref': None 2022-11-23T01:37:54.6150537Z 'guarded_class': None 2022-11-23T01:37:54.6150599Z } 2022-11-23T01:37:54.6150661Z 2022-11-23T01:37:54.6150961Z [2022-11-23 01:30:49,813] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 105 2022-11-23T01:37:54.6151337Z [2022-11-23 01:30:49,824] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/oq/coqflkwxoxf6l2w67ibbd2znydcusnpjb3iwshwcflyaftn4vmsp.py 2022-11-23T01:37:54.6151606Z [2022-11-23 01:30:49,824] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 105 2022-11-23T01:37:54.6151845Z [2022-11-23 01:30:49,841] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6152115Z [2022-11-23 01:30:49,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6152357Z [2022-11-23 01:30:49,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6152604Z [2022-11-23 01:30:49,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6152882Z [2022-11-23 01:30:49,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6153202Z [2022-11-23 01:30:49,841] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6153453Z [2022-11-23 01:30:49,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6153691Z [2022-11-23 01:30:49,855] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6153945Z [2022-11-23 01:30:49,856] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6154202Z [2022-11-23 01:30:49,875] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6154396Z [2022-11-23 01:30:49,876] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6154527Z __compiled_fn_107 .911 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6154607Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6154707Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6154807Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6154812Z 2022-11-23T01:37:54.6155091Z [2022-11-23 01:30:49,876] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6155184Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6155273Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6155364Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6155444Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6155518Z 8 RETURN_VALUE 2022-11-23T01:37:54.6155524Z 2022-11-23T01:37:54.6155583Z 2022-11-23T01:37:54.6155864Z [2022-11-23 01:30:49,876] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6155973Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_107) 2022-11-23T01:37:54.6156066Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6156157Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6156234Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6156311Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6156407Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6156482Z 12 RETURN_VALUE 2022-11-23T01:37:54.6156488Z 2022-11-23T01:37:54.6156548Z 2022-11-23T01:37:54.6156733Z [2022-11-23 01:30:49,877] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6156808Z - 2022-11-23T01:37:54.6156933Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6156986Z { 2022-11-23T01:37:54.6157131Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6157327Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6157451Z 'obj_weakref': None 2022-11-23T01:37:54.6157706Z 'guarded_class': 2022-11-23T01:37:54.6157777Z } 2022-11-23T01:37:54.6157842Z 2022-11-23T01:37:54.6157901Z - 2022-11-23T01:37:54.6158030Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6158096Z { 2022-11-23T01:37:54.6158242Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6158353Z 'code': None, 2022-11-23T01:37:54.6158571Z 'obj_weakref': 2022-11-23T01:37:54.6158829Z 'guarded_class': 2022-11-23T01:37:54.6158910Z } 2022-11-23T01:37:54.6158975Z 2022-11-23T01:37:54.6159048Z - 2022-11-23T01:37:54.6159172Z local 'model' NN_MODULE 2022-11-23T01:37:54.6159239Z { 2022-11-23T01:37:54.6159377Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6159553Z 'code': ['___check_obj_id(model, 140538743731536)'], 2022-11-23T01:37:54.6159765Z 'obj_weakref': 2022-11-23T01:37:54.6160006Z 'guarded_class': 2022-11-23T01:37:54.6160073Z } 2022-11-23T01:37:54.6160138Z 2022-11-23T01:37:54.6160209Z - 2022-11-23T01:37:54.6160337Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6160404Z { 2022-11-23T01:37:54.6160530Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6160754Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6160876Z 'obj_weakref': None 2022-11-23T01:37:54.6161101Z 'guarded_class': 2022-11-23T01:37:54.6161167Z } 2022-11-23T01:37:54.6161234Z 2022-11-23T01:37:54.6161309Z - 2022-11-23T01:37:54.6161444Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6161508Z { 2022-11-23T01:37:54.6161633Z 'guard_types': None, 2022-11-23T01:37:54.6161745Z 'code': None, 2022-11-23T01:37:54.6161867Z 'obj_weakref': None 2022-11-23T01:37:54.6161992Z 'guarded_class': None 2022-11-23T01:37:54.6162057Z } 2022-11-23T01:37:54.6162106Z 2022-11-23T01:37:54.6162178Z - 2022-11-23T01:37:54.6162328Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6162394Z { 2022-11-23T01:37:54.6162519Z 'guard_types': None, 2022-11-23T01:37:54.6162627Z 'code': None, 2022-11-23T01:37:54.6162745Z 'obj_weakref': None 2022-11-23T01:37:54.6162855Z 'guarded_class': None 2022-11-23T01:37:54.6162916Z } 2022-11-23T01:37:54.6162976Z 2022-11-23T01:37:54.6163239Z [2022-11-23 01:30:49,887] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 106 2022-11-23T01:37:54.6163612Z [2022-11-23 01:30:49,892] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yq/cyq2a3jz6qrsoqaxohd2lqiyihb2bppaqnwzzyqz5vlunxalcepq.py 2022-11-23T01:37:54.6163879Z [2022-11-23 01:30:49,892] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 106 2022-11-23T01:37:54.6164119Z [2022-11-23 01:30:49,938] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6164396Z [2022-11-23 01:30:49,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6164604Z [2022-11-23 01:30:49,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6164847Z [2022-11-23 01:30:49,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6165153Z [2022-11-23 01:30:49,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6165474Z [2022-11-23 01:30:49,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6165723Z [2022-11-23 01:30:49,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6165957Z [2022-11-23 01:30:49,952] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6166215Z [2022-11-23 01:30:49,953] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6166522Z [2022-11-23 01:30:49,971] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6166717Z [2022-11-23 01:30:49,971] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6166840Z __compiled_fn_108 .922 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6166929Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6167027Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6167125Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6167131Z 2022-11-23T01:37:54.6167412Z [2022-11-23 01:30:49,972] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6167507Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6167598Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6167694Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6167773Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6167848Z 8 RETURN_VALUE 2022-11-23T01:37:54.6167853Z 2022-11-23T01:37:54.6167917Z 2022-11-23T01:37:54.6168193Z [2022-11-23 01:30:49,972] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6168303Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_108) 2022-11-23T01:37:54.6168394Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6168483Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6168546Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6168634Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6168725Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6168799Z 12 RETURN_VALUE 2022-11-23T01:37:54.6168804Z 2022-11-23T01:37:54.6168865Z 2022-11-23T01:37:54.6169049Z [2022-11-23 01:30:49,972] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6169123Z - 2022-11-23T01:37:54.6169231Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6169294Z { 2022-11-23T01:37:54.6169435Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6169622Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6169747Z 'obj_weakref': None 2022-11-23T01:37:54.6170039Z 'guarded_class': 2022-11-23T01:37:54.6170137Z } 2022-11-23T01:37:54.6170203Z 2022-11-23T01:37:54.6170264Z - 2022-11-23T01:37:54.6170389Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6170452Z { 2022-11-23T01:37:54.6170598Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6170708Z 'code': None, 2022-11-23T01:37:54.6170922Z 'obj_weakref': 2022-11-23T01:37:54.6171184Z 'guarded_class': 2022-11-23T01:37:54.6171235Z } 2022-11-23T01:37:54.6171295Z 2022-11-23T01:37:54.6171366Z - 2022-11-23T01:37:54.6171487Z local 'model' NN_MODULE 2022-11-23T01:37:54.6171550Z { 2022-11-23T01:37:54.6171727Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6171891Z 'code': ['___check_obj_id(model, 140538743731536)'], 2022-11-23T01:37:54.6172116Z 'obj_weakref': 2022-11-23T01:37:54.6172352Z 'guarded_class': 2022-11-23T01:37:54.6172414Z } 2022-11-23T01:37:54.6172476Z 2022-11-23T01:37:54.6172547Z - 2022-11-23T01:37:54.6172671Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6172764Z { 2022-11-23T01:37:54.6172892Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6173111Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6173231Z 'obj_weakref': None 2022-11-23T01:37:54.6173454Z 'guarded_class': 2022-11-23T01:37:54.6173519Z } 2022-11-23T01:37:54.6173580Z 2022-11-23T01:37:54.6173650Z - 2022-11-23T01:37:54.6173786Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6173848Z { 2022-11-23T01:37:54.6173969Z 'guard_types': None, 2022-11-23T01:37:54.6174078Z 'code': None, 2022-11-23T01:37:54.6174197Z 'obj_weakref': None 2022-11-23T01:37:54.6174320Z 'guarded_class': None 2022-11-23T01:37:54.6174371Z } 2022-11-23T01:37:54.6174430Z 2022-11-23T01:37:54.6174502Z - 2022-11-23T01:37:54.6174653Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6174715Z { 2022-11-23T01:37:54.6174840Z 'guard_types': None, 2022-11-23T01:37:54.6174946Z 'code': None, 2022-11-23T01:37:54.6175052Z 'obj_weakref': None 2022-11-23T01:37:54.6175171Z 'guarded_class': None 2022-11-23T01:37:54.6175235Z } 2022-11-23T01:37:54.6175298Z 2022-11-23T01:37:54.6175556Z [2022-11-23 01:30:49,982] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 107 2022-11-23T01:37:54.6175924Z [2022-11-23 01:30:49,994] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/x7/cx7l74usiut2vfxxrmr65wyflijclccjpik2t7gatmck7ssylq2r.py 2022-11-23T01:37:54.6176193Z [2022-11-23 01:30:49,994] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 107 2022-11-23T01:37:54.6176432Z [2022-11-23 01:30:50,034] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6176691Z [2022-11-23 01:30:50,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6176911Z [2022-11-23 01:30:50,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6177160Z [2022-11-23 01:30:50,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6177437Z [2022-11-23 01:30:50,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6177753Z [2022-11-23 01:30:50,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6178001Z [2022-11-23 01:30:50,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6178236Z [2022-11-23 01:30:50,048] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6178494Z [2022-11-23 01:30:50,049] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6178876Z [2022-11-23 01:30:50,065] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6179174Z [2022-11-23 01:30:50,066] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6179315Z __compiled_fn_109 .933 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6179404Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6179504Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6179602Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6179608Z 2022-11-23T01:37:54.6179891Z [2022-11-23 01:30:50,066] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6179986Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6180121Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6180200Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6180290Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6180366Z 8 RETURN_VALUE 2022-11-23T01:37:54.6180371Z 2022-11-23T01:37:54.6180432Z 2022-11-23T01:37:54.6180846Z [2022-11-23 01:30:50,066] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6181025Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_109) 2022-11-23T01:37:54.6181124Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6181215Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6181279Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6181369Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6181460Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6181535Z 12 RETURN_VALUE 2022-11-23T01:37:54.6181540Z 2022-11-23T01:37:54.6181601Z 2022-11-23T01:37:54.6181794Z [2022-11-23 01:30:50,067] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6181867Z - 2022-11-23T01:37:54.6181975Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6182039Z { 2022-11-23T01:37:54.6182184Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6182376Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6182500Z 'obj_weakref': None 2022-11-23T01:37:54.6182725Z 'guarded_class': 2022-11-23T01:37:54.6182788Z } 2022-11-23T01:37:54.6182838Z 2022-11-23T01:37:54.6182907Z - 2022-11-23T01:37:54.6183032Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6183093Z { 2022-11-23T01:37:54.6183238Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6183347Z 'code': None, 2022-11-23T01:37:54.6183564Z 'obj_weakref': 2022-11-23T01:37:54.6183808Z 'guarded_class': 2022-11-23T01:37:54.6183871Z } 2022-11-23T01:37:54.6183933Z 2022-11-23T01:37:54.6184004Z - 2022-11-23T01:37:54.6184127Z local 'model' NN_MODULE 2022-11-23T01:37:54.6184191Z { 2022-11-23T01:37:54.6184328Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6184488Z 'code': ['___check_obj_id(model, 140538744927888)'], 2022-11-23T01:37:54.6184711Z 'obj_weakref': 2022-11-23T01:37:54.6184948Z 'guarded_class': 2022-11-23T01:37:54.6185010Z } 2022-11-23T01:37:54.6185070Z 2022-11-23T01:37:54.6185140Z - 2022-11-23T01:37:54.6185266Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6185315Z { 2022-11-23T01:37:54.6185455Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6185675Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6185795Z 'obj_weakref': None 2022-11-23T01:37:54.6186059Z 'guarded_class': 2022-11-23T01:37:54.6186124Z } 2022-11-23T01:37:54.6186185Z 2022-11-23T01:37:54.6186243Z - 2022-11-23T01:37:54.6186391Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6186453Z { 2022-11-23T01:37:54.6186574Z 'guard_types': None, 2022-11-23T01:37:54.6186683Z 'code': None, 2022-11-23T01:37:54.6186801Z 'obj_weakref': None 2022-11-23T01:37:54.6186924Z 'guarded_class': None 2022-11-23T01:37:54.6186973Z } 2022-11-23T01:37:54.6187085Z 2022-11-23T01:37:54.6187154Z - 2022-11-23T01:37:54.6187301Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6187362Z { 2022-11-23T01:37:54.6187484Z 'guard_types': None, 2022-11-23T01:37:54.6187591Z 'code': None, 2022-11-23T01:37:54.6187697Z 'obj_weakref': None 2022-11-23T01:37:54.6187820Z 'guarded_class': None 2022-11-23T01:37:54.6187883Z } 2022-11-23T01:37:54.6187944Z 2022-11-23T01:37:54.6188285Z [2022-11-23 01:30:50,077] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 108 2022-11-23T01:37:54.6188292Z 2022-11-23T01:37:54.6188296Z 2022-11-23T01:37:54.6188393Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6188462Z import torch 2022-11-23T01:37:54.6188518Z import random 2022-11-23T01:37:54.6188636Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6188759Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6188767Z 2022-11-23T01:37:54.6188844Z aten = torch.ops.aten 2022-11-23T01:37:54.6188977Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6189069Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6189074Z 2022-11-23T01:37:54.6189078Z 2022-11-23T01:37:54.6189165Z async_compile.wait(globals()) 2022-11-23T01:37:54.6189239Z del async_compile 2022-11-23T01:37:54.6189244Z 2022-11-23T01:37:54.6189302Z def call(args): 2022-11-23T01:37:54.6189420Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6189492Z args.clear() 2022-11-23T01:37:54.6189627Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 1) 2022-11-23T01:37:54.6189742Z assert_size_stride(buf0, (1, 32, 110, 110), (387200, 12100, 110, 1)) 2022-11-23T01:37:54.6189809Z del arg0_1 2022-11-23T01:37:54.6189874Z del arg1_1 2022-11-23T01:37:54.6189925Z del arg7_1 2022-11-23T01:37:54.6189997Z return (buf0, ) 2022-11-23T01:37:54.6190002Z 2022-11-23T01:37:54.6190006Z 2022-11-23T01:37:54.6190083Z if __name__ == "__main__": 2022-11-23T01:37:54.6190195Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6190321Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6190541Z arg0_1 = rand_strided((32, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6190739Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6190931Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6191107Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6191294Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6191480Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6191662Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6191890Z arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6192045Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6192050Z 2022-11-23T01:37:54.6192054Z 2022-11-23T01:37:54.6192180Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6192251Z import torch 2022-11-23T01:37:54.6192308Z import random 2022-11-23T01:37:54.6192421Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6192540Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6192545Z 2022-11-23T01:37:54.6192620Z aten = torch.ops.aten 2022-11-23T01:37:54.6192754Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6192844Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6192849Z 2022-11-23T01:37:54.6192854Z 2022-11-23T01:37:54.6192988Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.6193228Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.6193346Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.6193434Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.6193496Z { 2022-11-23T01:37:54.6193572Z #pragma GCC ivdep 2022-11-23T01:37:54.6193655Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:37:54.6193716Z { 2022-11-23T01:37:54.6193794Z #pragma GCC ivdep 2022-11-23T01:37:54.6193864Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:37:54.6193924Z { 2022-11-23T01:37:54.6194000Z #pragma GCC ivdep 2022-11-23T01:37:54.6194082Z for(long i2=0; i2<9; i2+=1) 2022-11-23T01:37:54.6194148Z { 2022-11-23T01:37:54.6194210Z { 2022-11-23T01:37:54.6194275Z { 2022-11-23T01:37:54.6194372Z auto tmp0 = in_ptr0[i2 + (9*i1) + (27*i0)]; 2022-11-23T01:37:54.6194476Z out_ptr0[i1 + (3*i2) + (27*i0)] = tmp0; 2022-11-23T01:37:54.6194541Z } 2022-11-23T01:37:54.6194609Z } 2022-11-23T01:37:54.6194671Z } 2022-11-23T01:37:54.6194733Z } 2022-11-23T01:37:54.6194796Z } 2022-11-23T01:37:54.6194844Z } 2022-11-23T01:37:54.6194928Z ''') 2022-11-23T01:37:54.6194933Z 2022-11-23T01:37:54.6194940Z 2022-11-23T01:37:54.6195029Z async_compile.wait(globals()) 2022-11-23T01:37:54.6195103Z del async_compile 2022-11-23T01:37:54.6195108Z 2022-11-23T01:37:54.6195178Z def call(args): 2022-11-23T01:37:54.6195299Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6195373Z args.clear() 2022-11-23T01:37:54.6195575Z buf0 = empty_strided((32, 3, 3, 3), (27, 1, 9, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6195712Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.6195779Z del arg0_1 2022-11-23T01:37:54.6195918Z buf1 = aten.convolution(arg7_1, buf0, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 1) 2022-11-23T01:37:54.6196030Z assert_size_stride(buf1, (1, 32, 110, 110), (387200, 1, 3520, 32)) 2022-11-23T01:37:54.6196099Z del arg1_1 2022-11-23T01:37:54.6196167Z del arg7_1 2022-11-23T01:37:54.6196225Z return (buf1, ) 2022-11-23T01:37:54.6196244Z 2022-11-23T01:37:54.6196248Z 2022-11-23T01:37:54.6196312Z if __name__ == "__main__": 2022-11-23T01:37:54.6196426Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6196549Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6196764Z arg0_1 = rand_strided((32, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6196962Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6197156Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6197348Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6197544Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6197720Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6197904Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6198159Z arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6198320Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6198325Z 2022-11-23T01:37:54.6198330Z 2022-11-23T01:37:54.6198428Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6198498Z import torch 2022-11-23T01:37:54.6198569Z import random 2022-11-23T01:37:54.6198685Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6198794Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6198799Z 2022-11-23T01:37:54.6198910Z aten = torch.ops.aten 2022-11-23T01:37:54.6199046Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6199138Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6199143Z 2022-11-23T01:37:54.6199148Z 2022-11-23T01:37:54.6199238Z async_compile.wait(globals()) 2022-11-23T01:37:54.6199312Z del async_compile 2022-11-23T01:37:54.6199317Z 2022-11-23T01:37:54.6199390Z def call(args): 2022-11-23T01:37:54.6199511Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6199569Z args.clear() 2022-11-23T01:37:54.6199706Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 4) 2022-11-23T01:37:54.6199820Z assert_size_stride(buf0, (1, 128, 110, 110), (1548800, 12100, 110, 1)) 2022-11-23T01:37:54.6199890Z del arg0_1 2022-11-23T01:37:54.6199957Z del arg1_1 2022-11-23T01:37:54.6200026Z del arg7_1 2022-11-23T01:37:54.6200100Z return (buf0, ) 2022-11-23T01:37:54.6200105Z 2022-11-23T01:37:54.6200111Z 2022-11-23T01:37:54.6200174Z if __name__ == "__main__": 2022-11-23T01:37:54.6200285Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6200406Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6200621Z arg0_1 = rand_strided((128, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6200820Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6201017Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6201210Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6201400Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6201576Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6201757Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6201987Z arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6202146Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6202152Z 2022-11-23T01:37:54.6202156Z 2022-11-23T01:37:54.6202251Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6202320Z import torch 2022-11-23T01:37:54.6202392Z import random 2022-11-23T01:37:54.6202506Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6202614Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6202630Z 2022-11-23T01:37:54.6202694Z aten = torch.ops.aten 2022-11-23T01:37:54.6202827Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6202918Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6202923Z 2022-11-23T01:37:54.6202927Z 2022-11-23T01:37:54.6203065Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.6203269Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.6203388Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.6203488Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.6203536Z { 2022-11-23T01:37:54.6203610Z #pragma GCC ivdep 2022-11-23T01:37:54.6203689Z for(long i0=0; i0<128; i0+=1) 2022-11-23T01:37:54.6203750Z { 2022-11-23T01:37:54.6203863Z #pragma GCC ivdep 2022-11-23T01:37:54.6203947Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:37:54.6204009Z { 2022-11-23T01:37:54.6204075Z #pragma GCC ivdep 2022-11-23T01:37:54.6204157Z for(long i2=0; i2<9; i2+=1) 2022-11-23T01:37:54.6204218Z { 2022-11-23T01:37:54.6204281Z { 2022-11-23T01:37:54.6204348Z { 2022-11-23T01:37:54.6204455Z auto tmp0 = in_ptr0[i2 + (9*i1) + (27*i0)]; 2022-11-23T01:37:54.6204555Z out_ptr0[i1 + (3*i2) + (27*i0)] = tmp0; 2022-11-23T01:37:54.6204637Z } 2022-11-23T01:37:54.6204700Z } 2022-11-23T01:37:54.6204764Z } 2022-11-23T01:37:54.6204825Z } 2022-11-23T01:37:54.6204884Z } 2022-11-23T01:37:54.6204943Z } 2022-11-23T01:37:54.6205012Z ''') 2022-11-23T01:37:54.6205029Z 2022-11-23T01:37:54.6205033Z 2022-11-23T01:37:54.6205110Z async_compile.wait(globals()) 2022-11-23T01:37:54.6205183Z del async_compile 2022-11-23T01:37:54.6205187Z 2022-11-23T01:37:54.6205256Z def call(args): 2022-11-23T01:37:54.6205374Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6205445Z args.clear() 2022-11-23T01:37:54.6205659Z buf0 = empty_strided((128, 3, 3, 3), (27, 1, 9, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6205791Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.6205845Z del arg0_1 2022-11-23T01:37:54.6205978Z buf1 = aten.convolution(arg7_1, buf0, arg1_1, (1, 1), (0, 0), (1, 1), False, (0, 0), 4) 2022-11-23T01:37:54.6206092Z assert_size_stride(buf1, (1, 128, 110, 110), (1548800, 1, 14080, 128)) 2022-11-23T01:37:54.6206159Z del arg1_1 2022-11-23T01:37:54.6206224Z del arg7_1 2022-11-23T01:37:54.6206295Z return (buf1, ) 2022-11-23T01:37:54.6206300Z 2022-11-23T01:37:54.6206303Z 2022-11-23T01:37:54.6206378Z if __name__ == "__main__": 2022-11-23T01:37:54.6206493Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6206604Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6206819Z arg0_1 = rand_strided((128, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6207018Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6207214Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6207405Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6207601Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6207791Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6207973Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6208189Z arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6208343Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6208349Z 2022-11-23T01:37:54.6208353Z 2022-11-23T01:37:54.6208447Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6208517Z import torch 2022-11-23T01:37:54.6208585Z import random 2022-11-23T01:37:54.6208700Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6208819Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6208824Z 2022-11-23T01:37:54.6208900Z aten = torch.ops.aten 2022-11-23T01:37:54.6209023Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6209113Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6209118Z 2022-11-23T01:37:54.6209122Z 2022-11-23T01:37:54.6209208Z async_compile.wait(globals()) 2022-11-23T01:37:54.6209277Z del async_compile 2022-11-23T01:37:54.6209282Z 2022-11-23T01:37:54.6209349Z def call(args): 2022-11-23T01:37:54.6209498Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6209569Z args.clear() 2022-11-23T01:37:54.6209703Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 1) 2022-11-23T01:37:54.6209803Z assert_size_stride(buf0, (1, 32, 108, 108), (373248, 11664, 108, 1)) 2022-11-23T01:37:54.6209871Z del arg0_1 2022-11-23T01:37:54.6209937Z del arg1_1 2022-11-23T01:37:54.6210000Z del arg7_1 2022-11-23T01:37:54.6210073Z return (buf0, ) 2022-11-23T01:37:54.6210078Z 2022-11-23T01:37:54.6210082Z 2022-11-23T01:37:54.6210155Z if __name__ == "__main__": 2022-11-23T01:37:54.6210297Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6210409Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6210621Z arg0_1 = rand_strided((32, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6210815Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6211008Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6211197Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6211386Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6211572Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6211754Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6211966Z arg7_1 = rand_strided((1, 3, 112, 112), (37632, 12544, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6212124Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6212497Z [2022-11-23 01:30:50,082] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/po/cpofneny2ajd45ioooxtnvui67q6i5li2x7zvcb7t5jcd6wj47fn.py 2022-11-23T01:37:54.6212767Z [2022-11-23 01:30:50,082] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 108 2022-11-23T01:37:54.6213009Z [2022-11-23 01:30:50,094] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6213278Z [2022-11-23 01:30:50,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6213498Z [2022-11-23 01:30:50,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6213744Z [2022-11-23 01:30:50,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6214028Z [2022-11-23 01:30:50,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6214344Z [2022-11-23 01:30:50,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6214584Z [2022-11-23 01:30:50,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6214822Z [2022-11-23 01:30:50,108] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6215079Z [2022-11-23 01:30:50,109] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6215331Z [2022-11-23 01:30:50,125] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6215523Z [2022-11-23 01:30:50,125] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6215658Z __compiled_fn_110 .944 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6215752Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6215851Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6215937Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6215953Z 2022-11-23T01:37:54.6216260Z [2022-11-23 01:30:50,126] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6216357Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6216449Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6216541Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6216631Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6216707Z 8 RETURN_VALUE 2022-11-23T01:37:54.6216712Z 2022-11-23T01:37:54.6216773Z 2022-11-23T01:37:54.6217036Z [2022-11-23 01:30:50,126] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6217178Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_110) 2022-11-23T01:37:54.6217268Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6217357Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6217434Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6217521Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6217614Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6217678Z 12 RETURN_VALUE 2022-11-23T01:37:54.6217695Z 2022-11-23T01:37:54.6217742Z 2022-11-23T01:37:54.6217930Z [2022-11-23 01:30:50,127] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6218005Z - 2022-11-23T01:37:54.6218126Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6218192Z { 2022-11-23T01:37:54.6218335Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6218522Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6218636Z 'obj_weakref': None 2022-11-23T01:37:54.6219045Z 'guarded_class': 2022-11-23T01:37:54.6219115Z } 2022-11-23T01:37:54.6219178Z 2022-11-23T01:37:54.6219254Z - 2022-11-23T01:37:54.6219384Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6219438Z { 2022-11-23T01:37:54.6219583Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6219690Z 'code': None, 2022-11-23T01:37:54.6219906Z 'obj_weakref': 2022-11-23T01:37:54.6220163Z 'guarded_class': 2022-11-23T01:37:54.6220226Z } 2022-11-23T01:37:54.6220290Z 2022-11-23T01:37:54.6220359Z - 2022-11-23T01:37:54.6220467Z local 'model' NN_MODULE 2022-11-23T01:37:54.6220531Z { 2022-11-23T01:37:54.6220671Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6220845Z 'code': ['___check_obj_id(model, 140538744927888)'], 2022-11-23T01:37:54.6221070Z 'obj_weakref': 2022-11-23T01:37:54.6221311Z 'guarded_class': 2022-11-23T01:37:54.6221375Z } 2022-11-23T01:37:54.6221424Z 2022-11-23T01:37:54.6221494Z - 2022-11-23T01:37:54.6221617Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6221678Z { 2022-11-23T01:37:54.6221816Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6222036Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6222157Z 'obj_weakref': None 2022-11-23T01:37:54.6222367Z 'guarded_class': 2022-11-23T01:37:54.6222433Z } 2022-11-23T01:37:54.6222495Z 2022-11-23T01:37:54.6222564Z - 2022-11-23T01:37:54.6222713Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6222774Z { 2022-11-23T01:37:54.6222893Z 'guard_types': None, 2022-11-23T01:37:54.6222989Z 'code': None, 2022-11-23T01:37:54.6223169Z 'obj_weakref': None 2022-11-23T01:37:54.6223296Z 'guarded_class': None 2022-11-23T01:37:54.6223359Z } 2022-11-23T01:37:54.6223421Z 2022-11-23T01:37:54.6223490Z - 2022-11-23T01:37:54.6223624Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6223688Z { 2022-11-23T01:37:54.6223808Z 'guard_types': None, 2022-11-23T01:37:54.6223916Z 'code': None, 2022-11-23T01:37:54.6224035Z 'obj_weakref': None 2022-11-23T01:37:54.6224158Z 'guarded_class': None 2022-11-23T01:37:54.6224261Z } 2022-11-23T01:37:54.6224311Z 2022-11-23T01:37:54.6224581Z [2022-11-23 01:30:50,137] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 109 2022-11-23T01:37:54.6224962Z [2022-11-23 01:30:50,149] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vl/cvlgxidiqjqwpkqhgkfabehaeik3wlcd3akl65wwnqk7trbnomjj.py 2022-11-23T01:37:54.6225230Z [2022-11-23 01:30:50,149] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 109 2022-11-23T01:37:54.6225469Z [2022-11-23 01:30:50,164] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6225739Z [2022-11-23 01:30:50,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6225959Z [2022-11-23 01:30:50,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6226205Z [2022-11-23 01:30:50,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6226491Z [2022-11-23 01:30:50,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6226795Z [2022-11-23 01:30:50,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6227048Z [2022-11-23 01:30:50,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6227281Z [2022-11-23 01:30:50,179] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6227538Z [2022-11-23 01:30:50,180] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6227791Z [2022-11-23 01:30:50,199] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6227982Z [2022-11-23 01:30:50,199] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6228188Z __compiled_fn_111 .955 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6228286Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6228388Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6228475Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6228481Z 2022-11-23T01:37:54.6228766Z [2022-11-23 01:30:50,199] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6228860Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6228949Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6229042Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6229132Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6229211Z 8 RETURN_VALUE 2022-11-23T01:37:54.6229216Z 2022-11-23T01:37:54.6229275Z 2022-11-23T01:37:54.6229534Z [2022-11-23 01:30:50,199] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6229646Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_111) 2022-11-23T01:37:54.6229737Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6229826Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6229902Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6230027Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6230120Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6230183Z 12 RETURN_VALUE 2022-11-23T01:37:54.6230188Z 2022-11-23T01:37:54.6230247Z 2022-11-23T01:37:54.6230432Z [2022-11-23 01:30:50,200] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6230505Z - 2022-11-23T01:37:54.6230624Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6230688Z { 2022-11-23T01:37:54.6230830Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6231007Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6231173Z 'obj_weakref': None 2022-11-23T01:37:54.6231398Z 'guarded_class': 2022-11-23T01:37:54.6231461Z } 2022-11-23T01:37:54.6231522Z 2022-11-23T01:37:54.6231593Z - 2022-11-23T01:37:54.6231722Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6231773Z { 2022-11-23T01:37:54.6231919Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6232028Z 'code': None, 2022-11-23T01:37:54.6232244Z 'obj_weakref': 2022-11-23T01:37:54.6232504Z 'guarded_class': 2022-11-23T01:37:54.6232571Z } 2022-11-23T01:37:54.6232632Z 2022-11-23T01:37:54.6232690Z - 2022-11-23T01:37:54.6232816Z local 'model' NN_MODULE 2022-11-23T01:37:54.6232883Z { 2022-11-23T01:37:54.6233022Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6233195Z 'code': ['___check_obj_id(model, 140538743741968)'], 2022-11-23T01:37:54.6233425Z 'obj_weakref': 2022-11-23T01:37:54.6233668Z 'guarded_class': 2022-11-23T01:37:54.6233720Z } 2022-11-23T01:37:54.6233786Z 2022-11-23T01:37:54.6233858Z - 2022-11-23T01:37:54.6233985Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6234049Z { 2022-11-23T01:37:54.6234188Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6234409Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6234517Z 'obj_weakref': None 2022-11-23T01:37:54.6234744Z 'guarded_class': 2022-11-23T01:37:54.6234811Z } 2022-11-23T01:37:54.6234877Z 2022-11-23T01:37:54.6234948Z - 2022-11-23T01:37:54.6235098Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6235164Z { 2022-11-23T01:37:54.6235275Z 'guard_types': None, 2022-11-23T01:37:54.6235385Z 'code': None, 2022-11-23T01:37:54.6235505Z 'obj_weakref': None 2022-11-23T01:37:54.6235629Z 'guarded_class': None 2022-11-23T01:37:54.6235693Z } 2022-11-23T01:37:54.6235758Z 2022-11-23T01:37:54.6235830Z - 2022-11-23T01:37:54.6235961Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6236026Z { 2022-11-23T01:37:54.6236149Z 'guard_types': None, 2022-11-23T01:37:54.6236258Z 'code': None, 2022-11-23T01:37:54.6236379Z 'obj_weakref': None 2022-11-23T01:37:54.6236508Z 'guarded_class': None 2022-11-23T01:37:54.6236572Z } 2022-11-23T01:37:54.6236621Z 2022-11-23T01:37:54.6236882Z [2022-11-23 01:30:50,210] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 110 2022-11-23T01:37:54.6237280Z [2022-11-23 01:30:50,215] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xe/cxec6yir6b6x6lsmc4vmbpkgi5lynb4y3cbnvny5x3v6ltg4pidv.py 2022-11-23T01:37:54.6237553Z [2022-11-23 01:30:50,215] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 110 2022-11-23T01:37:54.6237793Z [2022-11-23 01:30:50,257] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6238066Z [2022-11-23 01:30:50,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6238289Z [2022-11-23 01:30:50,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6238570Z [2022-11-23 01:30:50,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6238840Z [2022-11-23 01:30:50,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6239163Z [2022-11-23 01:30:50,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6239416Z [2022-11-23 01:30:50,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6239653Z [2022-11-23 01:30:50,271] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6239908Z [2022-11-23 01:30:50,272] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6240163Z [2022-11-23 01:30:50,290] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6240360Z [2022-11-23 01:30:50,290] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6240494Z __compiled_fn_112 .966 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6240585Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6240671Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6240774Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6240780Z 2022-11-23T01:37:54.6241061Z [2022-11-23 01:30:50,290] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6241157Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6241250Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6241341Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6241431Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6241506Z 8 RETURN_VALUE 2022-11-23T01:37:54.6241512Z 2022-11-23T01:37:54.6241561Z 2022-11-23T01:37:54.6241838Z [2022-11-23 01:30:50,291] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6241947Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_112) 2022-11-23T01:37:54.6242036Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6242127Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6242205Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6242292Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6242369Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6242443Z 12 RETURN_VALUE 2022-11-23T01:37:54.6242448Z 2022-11-23T01:37:54.6242507Z 2022-11-23T01:37:54.6242689Z [2022-11-23 01:30:50,291] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6242761Z - 2022-11-23T01:37:54.6242881Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6242944Z { 2022-11-23T01:37:54.6243073Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6243263Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6243382Z 'obj_weakref': None 2022-11-23T01:37:54.6243606Z 'guarded_class': 2022-11-23T01:37:54.6243670Z } 2022-11-23T01:37:54.6243765Z 2022-11-23T01:37:54.6243838Z - 2022-11-23T01:37:54.6243952Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6244017Z { 2022-11-23T01:37:54.6244159Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6244268Z 'code': None, 2022-11-23T01:37:54.6244482Z 'obj_weakref': 2022-11-23T01:37:54.6244738Z 'guarded_class': 2022-11-23T01:37:54.6244802Z } 2022-11-23T01:37:54.6244894Z 2022-11-23T01:37:54.6244953Z - 2022-11-23T01:37:54.6245074Z local 'model' NN_MODULE 2022-11-23T01:37:54.6245136Z { 2022-11-23T01:37:54.6245271Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6245442Z 'code': ['___check_obj_id(model, 140538743741968)'], 2022-11-23T01:37:54.6245673Z 'obj_weakref': 2022-11-23T01:37:54.6245915Z 'guarded_class': 2022-11-23T01:37:54.6245965Z } 2022-11-23T01:37:54.6246028Z 2022-11-23T01:37:54.6246099Z - 2022-11-23T01:37:54.6246223Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6246286Z { 2022-11-23T01:37:54.6246424Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6246643Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6246755Z 'obj_weakref': None 2022-11-23T01:37:54.6246976Z 'guarded_class': 2022-11-23T01:37:54.6247038Z } 2022-11-23T01:37:54.6247099Z 2022-11-23T01:37:54.6247170Z - 2022-11-23T01:37:54.6247317Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6247380Z { 2022-11-23T01:37:54.6247489Z 'guard_types': None, 2022-11-23T01:37:54.6247597Z 'code': None, 2022-11-23T01:37:54.6247716Z 'obj_weakref': None 2022-11-23T01:37:54.6247837Z 'guarded_class': None 2022-11-23T01:37:54.6247900Z } 2022-11-23T01:37:54.6247961Z 2022-11-23T01:37:54.6248018Z - 2022-11-23T01:37:54.6248165Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6248227Z { 2022-11-23T01:37:54.6248347Z 'guard_types': None, 2022-11-23T01:37:54.6248455Z 'code': None, 2022-11-23T01:37:54.6248578Z 'obj_weakref': None 2022-11-23T01:37:54.6248701Z 'guarded_class': None 2022-11-23T01:37:54.6248752Z } 2022-11-23T01:37:54.6248812Z 2022-11-23T01:37:54.6249074Z [2022-11-23 01:30:50,301] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 111 2022-11-23T01:37:54.6249450Z [2022-11-23 01:30:50,312] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/y5/cy5kl6ecxzvx6fidodsbnmwxaloqq74mn7vcghtmodoadin2kox2.py 2022-11-23T01:37:54.6249725Z [2022-11-23 01:30:50,313] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 111 2022-11-23T01:37:54.6249967Z [2022-11-23 01:30:50,364] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6250238Z [2022-11-23 01:30:50,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6250459Z [2022-11-23 01:30:50,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6250709Z [2022-11-23 01:30:50,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6250975Z [2022-11-23 01:30:50,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6251331Z [2022-11-23 01:30:50,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6251582Z [2022-11-23 01:30:50,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6251818Z [2022-11-23 01:30:50,380] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6252071Z [2022-11-23 01:30:50,381] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6252324Z [2022-11-23 01:30:50,404] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6252550Z [2022-11-23 01:30:50,404] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6252684Z __compiled_fn_113 .977 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6252773Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6252862Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6252959Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6252964Z 2022-11-23T01:37:54.6253245Z [2022-11-23 01:30:50,405] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6253341Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6253430Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6253522Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6253614Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6253678Z 8 RETURN_VALUE 2022-11-23T01:37:54.6253700Z 2022-11-23T01:37:54.6253749Z 2022-11-23T01:37:54.6254021Z [2022-11-23 01:30:50,405] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6254128Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_113) 2022-11-23T01:37:54.6254218Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6254306Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6254383Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6254470Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6254548Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6254621Z 12 RETURN_VALUE 2022-11-23T01:37:54.6254626Z 2022-11-23T01:37:54.6254686Z 2022-11-23T01:37:54.6254870Z [2022-11-23 01:30:50,406] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6254941Z - 2022-11-23T01:37:54.6255061Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6255127Z { 2022-11-23T01:37:54.6255255Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6255442Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6255563Z 'obj_weakref': None 2022-11-23T01:37:54.6255786Z 'guarded_class': 2022-11-23T01:37:54.6255853Z } 2022-11-23T01:37:54.6255915Z 2022-11-23T01:37:54.6255984Z - 2022-11-23T01:37:54.6256099Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6256161Z { 2022-11-23T01:37:54.6256304Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6256412Z 'code': None, 2022-11-23T01:37:54.6256627Z 'obj_weakref': 2022-11-23T01:37:54.6256885Z 'guarded_class': 2022-11-23T01:37:54.6256950Z } 2022-11-23T01:37:54.6257000Z 2022-11-23T01:37:54.6257069Z - 2022-11-23T01:37:54.6257190Z local 'model' NN_MODULE 2022-11-23T01:37:54.6257252Z { 2022-11-23T01:37:54.6257389Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6257559Z 'code': ['___check_obj_id(model, 140538743940368)'], 2022-11-23T01:37:54.6257818Z 'obj_weakref': 2022-11-23T01:37:54.6258048Z 'guarded_class': 2022-11-23T01:37:54.6258112Z } 2022-11-23T01:37:54.6258175Z 2022-11-23T01:37:54.6258245Z - 2022-11-23T01:37:54.6258367Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6258430Z { 2022-11-23T01:37:54.6258568Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6258904Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6259142Z 'obj_weakref': None 2022-11-23T01:37:54.6259367Z 'guarded_class': 2022-11-23T01:37:54.6259432Z } 2022-11-23T01:37:54.6259496Z 2022-11-23T01:37:54.6259567Z - 2022-11-23T01:37:54.6259719Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6259769Z { 2022-11-23T01:37:54.6259890Z 'guard_types': None, 2022-11-23T01:37:54.6259999Z 'code': None, 2022-11-23T01:37:54.6260119Z 'obj_weakref': None 2022-11-23T01:37:54.6260243Z 'guarded_class': None 2022-11-23T01:37:54.6260306Z } 2022-11-23T01:37:54.6260367Z 2022-11-23T01:37:54.6260424Z - 2022-11-23T01:37:54.6260572Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6260632Z { 2022-11-23T01:37:54.6260755Z 'guard_types': None, 2022-11-23T01:37:54.6260868Z 'code': None, 2022-11-23T01:37:54.6260987Z 'obj_weakref': None 2022-11-23T01:37:54.6261115Z 'guarded_class': None 2022-11-23T01:37:54.6261165Z } 2022-11-23T01:37:54.6261227Z 2022-11-23T01:37:54.6261492Z [2022-11-23 01:30:50,415] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 112 2022-11-23T01:37:54.6261876Z [2022-11-23 01:30:50,421] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gh/cgh3iyyxa3iigurde7dsrbh6zfffru6hndv4r4lpimbdqdceqb75.py 2022-11-23T01:37:54.6262140Z [2022-11-23 01:30:50,421] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 112 2022-11-23T01:37:54.6262379Z [2022-11-23 01:30:50,699] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6262650Z [2022-11-23 01:30:50,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6262874Z [2022-11-23 01:30:50,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6263106Z [2022-11-23 01:30:50,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6263387Z [2022-11-23 01:30:50,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6263706Z [2022-11-23 01:30:50,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6263956Z [2022-11-23 01:30:50,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6264192Z [2022-11-23 01:30:50,715] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6264449Z [2022-11-23 01:30:50,716] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6264703Z [2022-11-23 01:30:50,741] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6264894Z [2022-11-23 01:30:50,741] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6265026Z __compiled_fn_114 .988 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6265144Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6265245Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6265344Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6265350Z 2022-11-23T01:37:54.6265630Z [2022-11-23 01:30:50,741] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6265725Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6265815Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6265905Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6265994Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6266092Z 8 RETURN_VALUE 2022-11-23T01:37:54.6266098Z 2022-11-23T01:37:54.6266157Z 2022-11-23T01:37:54.6266434Z [2022-11-23 01:30:50,742] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6266539Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_114) 2022-11-23T01:37:54.6266631Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6266720Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6266796Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6266872Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6266960Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6267034Z 12 RETURN_VALUE 2022-11-23T01:37:54.6267039Z 2022-11-23T01:37:54.6267097Z 2022-11-23T01:37:54.6267282Z [2022-11-23 01:30:50,742] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6267354Z - 2022-11-23T01:37:54.6267480Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6267534Z { 2022-11-23T01:37:54.6267675Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6267864Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6267986Z 'obj_weakref': None 2022-11-23T01:37:54.6268287Z 'guarded_class': 2022-11-23T01:37:54.6268356Z } 2022-11-23T01:37:54.6268419Z 2022-11-23T01:37:54.6268479Z - 2022-11-23T01:37:54.6268605Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6268671Z { 2022-11-23T01:37:54.6268815Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6268925Z 'code': None, 2022-11-23T01:37:54.6269141Z 'obj_weakref': 2022-11-23T01:37:54.6269398Z 'guarded_class': 2022-11-23T01:37:54.6269465Z } 2022-11-23T01:37:54.6269516Z 2022-11-23T01:37:54.6269586Z - 2022-11-23T01:37:54.6269707Z local 'model' NN_MODULE 2022-11-23T01:37:54.6269771Z { 2022-11-23T01:37:54.6269908Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6270082Z 'code': ['___check_obj_id(model, 140538743940368)'], 2022-11-23T01:37:54.6270305Z 'obj_weakref': 2022-11-23T01:37:54.6270529Z 'guarded_class': 2022-11-23T01:37:54.6270595Z } 2022-11-23T01:37:54.6270658Z 2022-11-23T01:37:54.6270728Z - 2022-11-23T01:37:54.6270852Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6270914Z { 2022-11-23T01:37:54.6271040Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6271261Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6271382Z 'obj_weakref': None 2022-11-23T01:37:54.6271605Z 'guarded_class': 2022-11-23T01:37:54.6271669Z } 2022-11-23T01:37:54.6271793Z 2022-11-23T01:37:54.6271866Z - 2022-11-23T01:37:54.6272014Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6272064Z { 2022-11-23T01:37:54.6272187Z 'guard_types': None, 2022-11-23T01:37:54.6272296Z 'code': None, 2022-11-23T01:37:54.6272415Z 'obj_weakref': None 2022-11-23T01:37:54.6272539Z 'guarded_class': None 2022-11-23T01:37:54.6272602Z } 2022-11-23T01:37:54.6272651Z 2022-11-23T01:37:54.6272720Z - 2022-11-23T01:37:54.6272867Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6272965Z { 2022-11-23T01:37:54.6273089Z 'guard_types': None, 2022-11-23T01:37:54.6273201Z 'code': None, 2022-11-23T01:37:54.6273323Z 'obj_weakref': None 2022-11-23T01:37:54.6273433Z 'guarded_class': None 2022-11-23T01:37:54.6273497Z } 2022-11-23T01:37:54.6273558Z 2022-11-23T01:37:54.6273824Z [2022-11-23 01:30:50,752] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 113 2022-11-23T01:37:54.6273830Z 2022-11-23T01:37:54.6273835Z 2022-11-23T01:37:54.6273930Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6274000Z import torch 2022-11-23T01:37:54.6274071Z import random 2022-11-23T01:37:54.6274186Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6274296Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6274301Z 2022-11-23T01:37:54.6274380Z aten = torch.ops.aten 2022-11-23T01:37:54.6274514Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6274609Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6274614Z 2022-11-23T01:37:54.6274618Z 2022-11-23T01:37:54.6274754Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.6274963Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.6275085Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.6275189Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.6275238Z { 2022-11-23T01:37:54.6275316Z #pragma GCC ivdep 2022-11-23T01:37:54.6275399Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:37:54.6275462Z { 2022-11-23T01:37:54.6275540Z #pragma GCC ivdep 2022-11-23T01:37:54.6275624Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:37:54.6275674Z { 2022-11-23T01:37:54.6275753Z #pragma GCC ivdep 2022-11-23T01:37:54.6275838Z for(long i2=0; i2<9; i2+=1) 2022-11-23T01:37:54.6275903Z { 2022-11-23T01:37:54.6275972Z { 2022-11-23T01:37:54.6276039Z { 2022-11-23T01:37:54.6276150Z auto tmp0 = in_ptr0[i2 + (9*i1) + (27*i0)]; 2022-11-23T01:37:54.6276238Z out_ptr0[i1 + (3*i2) + (27*i0)] = tmp0; 2022-11-23T01:37:54.6276305Z } 2022-11-23T01:37:54.6276369Z } 2022-11-23T01:37:54.6276436Z } 2022-11-23T01:37:54.6276500Z } 2022-11-23T01:37:54.6276563Z } 2022-11-23T01:37:54.6276625Z } 2022-11-23T01:37:54.6276692Z ''') 2022-11-23T01:37:54.6276697Z 2022-11-23T01:37:54.6276701Z 2022-11-23T01:37:54.6276792Z async_compile.wait(globals()) 2022-11-23T01:37:54.6276864Z del async_compile 2022-11-23T01:37:54.6276869Z 2022-11-23T01:37:54.6276941Z def call(args): 2022-11-23T01:37:54.6277062Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6277133Z args.clear() 2022-11-23T01:37:54.6277349Z buf0 = empty_strided((32, 3, 3, 3), (27, 1, 9, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6277485Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.6277541Z del arg0_1 2022-11-23T01:37:54.6277676Z buf1 = aten.convolution(arg7_1, buf0, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 1) 2022-11-23T01:37:54.6277818Z assert_size_stride(buf1, (1, 32, 108, 108), (373248, 1, 3456, 32)) 2022-11-23T01:37:54.6277888Z del arg1_1 2022-11-23T01:37:54.6277956Z del arg7_1 2022-11-23T01:37:54.6278029Z return (buf1, ) 2022-11-23T01:37:54.6278033Z 2022-11-23T01:37:54.6278037Z 2022-11-23T01:37:54.6278111Z if __name__ == "__main__": 2022-11-23T01:37:54.6278212Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6278333Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6278549Z arg0_1 = rand_strided((32, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6278745Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6278982Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6279172Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6279364Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6279553Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6279722Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6279944Z arg7_1 = rand_strided((1, 3, 112, 112), (37632, 1, 336, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6280100Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6280105Z 2022-11-23T01:37:54.6280109Z 2022-11-23T01:37:54.6280202Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6280271Z import torch 2022-11-23T01:37:54.6280340Z import random 2022-11-23T01:37:54.6280459Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6280577Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6280582Z 2022-11-23T01:37:54.6280646Z aten = torch.ops.aten 2022-11-23T01:37:54.6280778Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6280868Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6280875Z 2022-11-23T01:37:54.6280879Z 2022-11-23T01:37:54.6280965Z async_compile.wait(globals()) 2022-11-23T01:37:54.6281038Z del async_compile 2022-11-23T01:37:54.6281043Z 2022-11-23T01:37:54.6281112Z def call(args): 2022-11-23T01:37:54.6281230Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6281303Z args.clear() 2022-11-23T01:37:54.6281424Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 4) 2022-11-23T01:37:54.6281536Z assert_size_stride(buf0, (1, 128, 108, 108), (1492992, 11664, 108, 1)) 2022-11-23T01:37:54.6281606Z del arg0_1 2022-11-23T01:37:54.6281673Z del arg1_1 2022-11-23T01:37:54.6281737Z del arg7_1 2022-11-23T01:37:54.6281807Z return (buf0, ) 2022-11-23T01:37:54.6281812Z 2022-11-23T01:37:54.6281816Z 2022-11-23T01:37:54.6281889Z if __name__ == "__main__": 2022-11-23T01:37:54.6282002Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6282112Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6282328Z arg0_1 = rand_strided((128, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6282527Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6282724Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6282915Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6283105Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6283298Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6283469Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6283696Z arg7_1 = rand_strided((1, 12, 112, 112), (150528, 12544, 112, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6283882Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6283888Z 2022-11-23T01:37:54.6283893Z 2022-11-23T01:37:54.6283988Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6284058Z import torch 2022-11-23T01:37:54.6284128Z import random 2022-11-23T01:37:54.6284241Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6284359Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6284364Z 2022-11-23T01:37:54.6284441Z aten = torch.ops.aten 2022-11-23T01:37:54.6284562Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6284684Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6284689Z 2022-11-23T01:37:54.6284693Z 2022-11-23T01:37:54.6284827Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.6285032Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.6285152Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.6285254Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.6285315Z { 2022-11-23T01:37:54.6285378Z #pragma GCC ivdep 2022-11-23T01:37:54.6285457Z for(long i0=0; i0<128; i0+=1) 2022-11-23T01:37:54.6285517Z { 2022-11-23T01:37:54.6285593Z #pragma GCC ivdep 2022-11-23T01:37:54.6285673Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:37:54.6285735Z { 2022-11-23T01:37:54.6285812Z #pragma GCC ivdep 2022-11-23T01:37:54.6285880Z for(long i2=0; i2<9; i2+=1) 2022-11-23T01:37:54.6285942Z { 2022-11-23T01:37:54.6286004Z { 2022-11-23T01:37:54.6286071Z { 2022-11-23T01:37:54.6286180Z auto tmp0 = in_ptr0[i2 + (9*i1) + (27*i0)]; 2022-11-23T01:37:54.6286281Z out_ptr0[i1 + (3*i2) + (27*i0)] = tmp0; 2022-11-23T01:37:54.6286346Z } 2022-11-23T01:37:54.6286398Z } 2022-11-23T01:37:54.6286460Z } 2022-11-23T01:37:54.6286523Z } 2022-11-23T01:37:54.6286585Z } 2022-11-23T01:37:54.6286647Z } 2022-11-23T01:37:54.6286728Z ''') 2022-11-23T01:37:54.6286733Z 2022-11-23T01:37:54.6286737Z 2022-11-23T01:37:54.6286825Z async_compile.wait(globals()) 2022-11-23T01:37:54.6286884Z del async_compile 2022-11-23T01:37:54.6286889Z 2022-11-23T01:37:54.6286958Z def call(args): 2022-11-23T01:37:54.6287076Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6287146Z args.clear() 2022-11-23T01:37:54.6287361Z buf0 = empty_strided((128, 3, 3, 3), (27, 1, 9, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6287495Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.6287564Z del arg0_1 2022-11-23T01:37:54.6287685Z buf1 = aten.convolution(arg7_1, buf0, arg1_1, (1, 1), (0, 0), (2, 2), False, (0, 0), 4) 2022-11-23T01:37:54.6287796Z assert_size_stride(buf1, (1, 128, 108, 108), (1492992, 1, 13824, 128)) 2022-11-23T01:37:54.6287864Z del arg1_1 2022-11-23T01:37:54.6287932Z del arg7_1 2022-11-23T01:37:54.6288003Z return (buf1, ) 2022-11-23T01:37:54.6288008Z 2022-11-23T01:37:54.6288012Z 2022-11-23T01:37:54.6288086Z if __name__ == "__main__": 2022-11-23T01:37:54.6288199Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6288322Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6288524Z arg0_1 = rand_strided((128, 3, 3, 3), (27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6288721Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6288921Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6289114Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6289309Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6289499Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6289711Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6289941Z arg7_1 = rand_strided((1, 12, 112, 112), (150528, 1, 1344, 12), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6290087Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6290104Z 2022-11-23T01:37:54.6290108Z 2022-11-23T01:37:54.6290188Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6290256Z import torch 2022-11-23T01:37:54.6290325Z import random 2022-11-23T01:37:54.6290439Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6290592Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6290597Z 2022-11-23T01:37:54.6290672Z aten = torch.ops.aten 2022-11-23T01:37:54.6290806Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6290885Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6290901Z 2022-11-23T01:37:54.6290905Z 2022-11-23T01:37:54.6290981Z async_compile.wait(globals()) 2022-11-23T01:37:54.6291052Z del async_compile 2022-11-23T01:37:54.6291057Z 2022-11-23T01:37:54.6291127Z def call(args): 2022-11-23T01:37:54.6291284Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6291383Z args.clear() 2022-11-23T01:37:54.6291577Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1) 2022-11-23T01:37:54.6291726Z assert_size_stride(buf0, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1)) 2022-11-23T01:37:54.6291785Z del arg0_1 2022-11-23T01:37:54.6291852Z del arg1_1 2022-11-23T01:37:54.6291915Z del arg7_1 2022-11-23T01:37:54.6291984Z return (buf0, ) 2022-11-23T01:37:54.6291989Z 2022-11-23T01:37:54.6291993Z 2022-11-23T01:37:54.6292067Z if __name__ == "__main__": 2022-11-23T01:37:54.6292210Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6292389Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6292630Z arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6292814Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6293006Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6293195Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6293423Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6293619Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6293805Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6294042Z arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6294201Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6294207Z 2022-11-23T01:37:54.6294211Z 2022-11-23T01:37:54.6294306Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6294363Z import torch 2022-11-23T01:37:54.6294435Z import random 2022-11-23T01:37:54.6294548Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6294669Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6294674Z 2022-11-23T01:37:54.6294750Z aten = torch.ops.aten 2022-11-23T01:37:54.6294883Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6294976Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6294983Z 2022-11-23T01:37:54.6294987Z 2022-11-23T01:37:54.6295124Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.6295316Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.6295438Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.6295581Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.6295645Z { 2022-11-23T01:37:54.6295723Z #pragma GCC ivdep 2022-11-23T01:37:54.6295800Z for(long i0=0; i0<3; i0+=1) 2022-11-23T01:37:54.6295860Z { 2022-11-23T01:37:54.6295925Z #pragma GCC ivdep 2022-11-23T01:37:54.6296015Z for(long i1=0; i1<166375; i1+=1) 2022-11-23T01:37:54.6296077Z { 2022-11-23T01:37:54.6296142Z { 2022-11-23T01:37:54.6296208Z { 2022-11-23T01:37:54.6296352Z auto tmp0 = in_ptr0[i0 + (3*i1)]; 2022-11-23T01:37:54.6296452Z out_ptr0[i1 + (166375*i0)] = tmp0; 2022-11-23T01:37:54.6296533Z } 2022-11-23T01:37:54.6296595Z } 2022-11-23T01:37:54.6296660Z } 2022-11-23T01:37:54.6296718Z } 2022-11-23T01:37:54.6296778Z } 2022-11-23T01:37:54.6296862Z ''') 2022-11-23T01:37:54.6296868Z 2022-11-23T01:37:54.6296872Z 2022-11-23T01:37:54.6296960Z async_compile.wait(globals()) 2022-11-23T01:37:54.6297018Z del async_compile 2022-11-23T01:37:54.6297026Z 2022-11-23T01:37:54.6297099Z def call(args): 2022-11-23T01:37:54.6297218Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6297290Z args.clear() 2022-11-23T01:37:54.6297532Z buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6297670Z kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.6297739Z del arg7_1 2022-11-23T01:37:54.6297884Z buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1) 2022-11-23T01:37:54.6298027Z assert_size_stride(buf1, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1)) 2022-11-23T01:37:54.6298085Z del arg0_1 2022-11-23T01:37:54.6298151Z del arg1_1 2022-11-23T01:37:54.6298220Z return (buf1, ) 2022-11-23T01:37:54.6298224Z 2022-11-23T01:37:54.6298229Z 2022-11-23T01:37:54.6298304Z if __name__ == "__main__": 2022-11-23T01:37:54.6298419Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6298538Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6298900Z arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6299131Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6299312Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6299500Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6299690Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6299879Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6300063Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6300296Z arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6300456Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6300840Z [2022-11-23 01:30:52,145] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/od/codnzteqxhl4vgdpqd4lwraivzxq54uae5q2mvyyrzyv27wxp57l.py 2022-11-23T01:37:54.6301095Z [2022-11-23 01:30:52,146] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 113 2022-11-23T01:37:54.6301337Z [2022-11-23 01:30:52,551] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6301609Z [2022-11-23 01:30:52,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6301832Z [2022-11-23 01:30:52,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6302078Z [2022-11-23 01:30:52,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6302425Z [2022-11-23 01:30:52,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6302747Z [2022-11-23 01:30:52,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6302998Z [2022-11-23 01:30:52,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6303235Z [2022-11-23 01:30:52,568] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6303491Z [2022-11-23 01:30:52,569] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6303772Z [2022-11-23 01:30:52,653] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6303962Z [2022-11-23 01:30:52,654] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6304097Z __compiled_fn_115 .999 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6304187Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6304287Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6304385Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6304391Z 2022-11-23T01:37:54.6304668Z [2022-11-23 01:30:52,654] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6304762Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6304839Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6304933Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6305024Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6305101Z 8 RETURN_VALUE 2022-11-23T01:37:54.6305106Z 2022-11-23T01:37:54.6305165Z 2022-11-23T01:37:54.6305439Z [2022-11-23 01:30:52,654] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6305549Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_115) 2022-11-23T01:37:54.6305626Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6305714Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6305789Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6305876Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6305968Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6306041Z 12 RETURN_VALUE 2022-11-23T01:37:54.6306046Z 2022-11-23T01:37:54.6306103Z 2022-11-23T01:37:54.6306286Z [2022-11-23 01:30:52,655] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6306349Z - 2022-11-23T01:37:54.6306473Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6306541Z { 2022-11-23T01:37:54.6306686Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6306878Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6307004Z 'obj_weakref': None 2022-11-23T01:37:54.6307232Z 'guarded_class': 2022-11-23T01:37:54.6307286Z } 2022-11-23T01:37:54.6307349Z 2022-11-23T01:37:54.6307422Z - 2022-11-23T01:37:54.6307551Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6307616Z { 2022-11-23T01:37:54.6307761Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6307858Z 'code': None, 2022-11-23T01:37:54.6308077Z 'obj_weakref': 2022-11-23T01:37:54.6308444Z 'guarded_class': 2022-11-23T01:37:54.6308511Z } 2022-11-23T01:37:54.6308575Z 2022-11-23T01:37:54.6308647Z - 2022-11-23T01:37:54.6308772Z local 'model' NN_MODULE 2022-11-23T01:37:54.6308824Z { 2022-11-23T01:37:54.6309001Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6309179Z 'code': ['___check_obj_id(model, 140538744784208)'], 2022-11-23T01:37:54.6309405Z 'obj_weakref': 2022-11-23T01:37:54.6309646Z 'guarded_class': 2022-11-23T01:37:54.6309713Z } 2022-11-23T01:37:54.6309778Z 2022-11-23T01:37:54.6309850Z - 2022-11-23T01:37:54.6309962Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6310027Z { 2022-11-23T01:37:54.6310203Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6310428Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6310552Z 'obj_weakref': None 2022-11-23T01:37:54.6310779Z 'guarded_class': 2022-11-23T01:37:54.6310845Z } 2022-11-23T01:37:54.6310896Z 2022-11-23T01:37:54.6310972Z - 2022-11-23T01:37:54.6311123Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6311188Z { 2022-11-23T01:37:54.6311312Z 'guard_types': None, 2022-11-23T01:37:54.6311423Z 'code': None, 2022-11-23T01:37:54.6311544Z 'obj_weakref': None 2022-11-23T01:37:54.6311655Z 'guarded_class': None 2022-11-23T01:37:54.6311721Z } 2022-11-23T01:37:54.6311786Z 2022-11-23T01:37:54.6311858Z - 2022-11-23T01:37:54.6312010Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6312074Z { 2022-11-23T01:37:54.6312184Z 'guard_types': None, 2022-11-23T01:37:54.6312292Z 'code': None, 2022-11-23T01:37:54.6312413Z 'obj_weakref': None 2022-11-23T01:37:54.6312538Z 'guarded_class': None 2022-11-23T01:37:54.6312602Z } 2022-11-23T01:37:54.6312663Z 2022-11-23T01:37:54.6312925Z [2022-11-23 01:30:52,666] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 114 2022-11-23T01:37:54.6313288Z [2022-11-23 01:30:52,673] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ry/cryxfqnfrvvljbyhb57zmd6c2mrrbdcvtbgtjp553v6jzx5sciq3.py 2022-11-23T01:37:54.6313558Z [2022-11-23 01:30:52,673] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 114 2022-11-23T01:37:54.6313796Z [2022-11-23 01:30:53,902] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6314075Z [2022-11-23 01:30:53,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6314297Z [2022-11-23 01:30:53,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6314546Z [2022-11-23 01:30:53,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6314826Z [2022-11-23 01:30:53,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6315145Z [2022-11-23 01:30:53,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6315396Z [2022-11-23 01:30:53,919] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6315633Z [2022-11-23 01:30:53,919] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6315881Z [2022-11-23 01:30:53,920] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6316132Z [2022-11-23 01:30:54,005] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6316325Z [2022-11-23 01:30:54,005] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6316488Z __compiled_fn_116 .1010 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6316584Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6316684Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6316782Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6316788Z 2022-11-23T01:37:54.6317067Z [2022-11-23 01:30:54,006] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6317148Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6317237Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6317361Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6317450Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6317525Z 8 RETURN_VALUE 2022-11-23T01:37:54.6317530Z 2022-11-23T01:37:54.6317589Z 2022-11-23T01:37:54.6317872Z [2022-11-23 01:30:54,006] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6317986Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_116) 2022-11-23T01:37:54.6318064Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6318152Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6318228Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6318315Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6318403Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6318476Z 12 RETURN_VALUE 2022-11-23T01:37:54.6318481Z 2022-11-23T01:37:54.6318541Z 2022-11-23T01:37:54.6318713Z [2022-11-23 01:30:54,006] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6318782Z - 2022-11-23T01:37:54.6318902Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6318964Z { 2022-11-23T01:37:54.6319104Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6319295Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6319418Z 'obj_weakref': None 2022-11-23T01:37:54.6319630Z 'guarded_class': 2022-11-23T01:37:54.6319694Z } 2022-11-23T01:37:54.6319756Z 2022-11-23T01:37:54.6319826Z - 2022-11-23T01:37:54.6319953Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6320013Z { 2022-11-23T01:37:54.6320158Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6320255Z 'code': None, 2022-11-23T01:37:54.6320468Z 'obj_weakref': 2022-11-23T01:37:54.6320726Z 'guarded_class': 2022-11-23T01:37:54.6320788Z } 2022-11-23T01:37:54.6320851Z 2022-11-23T01:37:54.6320921Z - 2022-11-23T01:37:54.6321044Z local 'model' NN_MODULE 2022-11-23T01:37:54.6321094Z { 2022-11-23T01:37:54.6321228Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6321397Z 'code': ['___check_obj_id(model, 140538744784208)'], 2022-11-23T01:37:54.6321618Z 'obj_weakref': 2022-11-23T01:37:54.6321856Z 'guarded_class': 2022-11-23T01:37:54.6321918Z } 2022-11-23T01:37:54.6321979Z 2022-11-23T01:37:54.6322036Z - 2022-11-23T01:37:54.6322163Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6322225Z { 2022-11-23T01:37:54.6322364Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6322586Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6322706Z 'obj_weakref': None 2022-11-23T01:37:54.6322955Z 'guarded_class': 2022-11-23T01:37:54.6323008Z } 2022-11-23T01:37:54.6323070Z 2022-11-23T01:37:54.6323140Z - 2022-11-23T01:37:54.6323287Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6323349Z { 2022-11-23T01:37:54.6323470Z 'guard_types': None, 2022-11-23T01:37:54.6323579Z 'code': None, 2022-11-23T01:37:54.6323687Z 'obj_weakref': None 2022-11-23T01:37:54.6323809Z 'guarded_class': None 2022-11-23T01:37:54.6323872Z } 2022-11-23T01:37:54.6323979Z 2022-11-23T01:37:54.6324053Z - 2022-11-23T01:37:54.6324198Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6324259Z { 2022-11-23T01:37:54.6324368Z 'guard_types': None, 2022-11-23T01:37:54.6324472Z 'code': None, 2022-11-23T01:37:54.6324591Z 'obj_weakref': None 2022-11-23T01:37:54.6324718Z 'guarded_class': None 2022-11-23T01:37:54.6324780Z } 2022-11-23T01:37:54.6324840Z 2022-11-23T01:37:54.6325102Z [2022-11-23 01:30:54,017] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 115 2022-11-23T01:37:54.6325465Z [2022-11-23 01:30:55,397] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/j3/cj3pldfbgbqfnnllg6uzqlrnjupwre3br7uqkb6bokn2wynpqxtj.py 2022-11-23T01:37:54.6325730Z [2022-11-23 01:30:55,397] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 115 2022-11-23T01:37:54.6325975Z [2022-11-23 01:30:56,523] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6326247Z [2022-11-23 01:30:56,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6326471Z [2022-11-23 01:30:56,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6326720Z [2022-11-23 01:30:56,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6327001Z [2022-11-23 01:30:56,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6327319Z [2022-11-23 01:30:56,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6327570Z [2022-11-23 01:30:56,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6327795Z [2022-11-23 01:30:56,540] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6328055Z [2022-11-23 01:30:56,541] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6328305Z [2022-11-23 01:30:56,566] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6328497Z [2022-11-23 01:30:56,567] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6328631Z __compiled_fn_117 .1021 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6328718Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6328815Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6328912Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6328919Z 2022-11-23T01:37:54.6329199Z [2022-11-23 01:30:56,567] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6329279Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6329371Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6329463Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6329550Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6329624Z 8 RETURN_VALUE 2022-11-23T01:37:54.6329630Z 2022-11-23T01:37:54.6329689Z 2022-11-23T01:37:54.6329994Z [2022-11-23 01:30:56,567] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6330092Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_117) 2022-11-23T01:37:54.6330182Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6330272Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6330348Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6330435Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6330522Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6330595Z 12 RETURN_VALUE 2022-11-23T01:37:54.6330628Z 2022-11-23T01:37:54.6330691Z 2022-11-23T01:37:54.6330865Z [2022-11-23 01:30:56,568] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6330935Z - 2022-11-23T01:37:54.6331056Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6331119Z { 2022-11-23T01:37:54.6331262Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6331453Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6331575Z 'obj_weakref': None 2022-11-23T01:37:54.6331789Z 'guarded_class': 2022-11-23T01:37:54.6331853Z } 2022-11-23T01:37:54.6331915Z 2022-11-23T01:37:54.6331985Z - 2022-11-23T01:37:54.6332111Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6332172Z { 2022-11-23T01:37:54.6332304Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6332416Z 'code': None, 2022-11-23T01:37:54.6332631Z 'obj_weakref': 2022-11-23T01:37:54.6332887Z 'guarded_class': 2022-11-23T01:37:54.6332950Z } 2022-11-23T01:37:54.6333012Z 2022-11-23T01:37:54.6333085Z - 2022-11-23T01:37:54.6333193Z local 'model' NN_MODULE 2022-11-23T01:37:54.6333256Z { 2022-11-23T01:37:54.6333389Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6333561Z 'code': ['___check_obj_id(model, 140538746791952)'], 2022-11-23T01:37:54.6333784Z 'obj_weakref': 2022-11-23T01:37:54.6334023Z 'guarded_class': 2022-11-23T01:37:54.6334085Z } 2022-11-23T01:37:54.6334148Z 2022-11-23T01:37:54.6334207Z - 2022-11-23T01:37:54.6334329Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6334391Z { 2022-11-23T01:37:54.6334532Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6334751Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6334872Z 'obj_weakref': None 2022-11-23T01:37:54.6335091Z 'guarded_class': 2022-11-23T01:37:54.6335142Z } 2022-11-23T01:37:54.6335202Z 2022-11-23T01:37:54.6335273Z - 2022-11-23T01:37:54.6335420Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6335482Z { 2022-11-23T01:37:54.6335601Z 'guard_types': None, 2022-11-23T01:37:54.6335710Z 'code': None, 2022-11-23T01:37:54.6335815Z 'obj_weakref': None 2022-11-23T01:37:54.6335936Z 'guarded_class': None 2022-11-23T01:37:54.6336001Z } 2022-11-23T01:37:54.6336061Z 2022-11-23T01:37:54.6336131Z - 2022-11-23T01:37:54.6336277Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6336328Z { 2022-11-23T01:37:54.6336447Z 'guard_types': None, 2022-11-23T01:37:54.6336555Z 'code': None, 2022-11-23T01:37:54.6336703Z 'obj_weakref': None 2022-11-23T01:37:54.6336829Z 'guarded_class': None 2022-11-23T01:37:54.6336890Z } 2022-11-23T01:37:54.6336951Z 2022-11-23T01:37:54.6337200Z [2022-11-23 01:30:56,579] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 116 2022-11-23T01:37:54.6337563Z [2022-11-23 01:30:56,585] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/56/c56bzkbo6uvsrmfq7sjekl5f3rm4hxpjwquogqr6h3sm2w7deh66.py 2022-11-23T01:37:54.6337827Z [2022-11-23 01:30:56,585] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 116 2022-11-23T01:37:54.6338099Z [2022-11-23 01:30:56,867] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6338372Z [2022-11-23 01:30:56,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6338592Z [2022-11-23 01:30:56,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6338985Z [2022-11-23 01:30:56,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6339307Z [2022-11-23 01:30:56,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6339630Z [2022-11-23 01:30:56,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6339869Z [2022-11-23 01:30:56,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6340112Z [2022-11-23 01:30:56,883] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6340368Z [2022-11-23 01:30:56,884] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6340622Z [2022-11-23 01:30:56,908] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6340817Z [2022-11-23 01:30:56,909] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6340952Z __compiled_fn_118 .1032 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6341041Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6341140Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6341238Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6341243Z 2022-11-23T01:37:54.6341509Z [2022-11-23 01:30:56,909] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6341606Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6341696Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6341789Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6341879Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6341954Z 8 RETURN_VALUE 2022-11-23T01:37:54.6341961Z 2022-11-23T01:37:54.6342022Z 2022-11-23T01:37:54.6342297Z [2022-11-23 01:30:56,909] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6342394Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_118) 2022-11-23T01:37:54.6342483Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6342571Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6342646Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6342734Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6342827Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6342904Z 12 RETURN_VALUE 2022-11-23T01:37:54.6342909Z 2022-11-23T01:37:54.6342955Z 2022-11-23T01:37:54.6343139Z [2022-11-23 01:30:56,910] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6343209Z - 2022-11-23T01:37:54.6343329Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6343392Z { 2022-11-23T01:37:54.6343590Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6343784Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6343891Z 'obj_weakref': None 2022-11-23T01:37:54.6344113Z 'guarded_class': 2022-11-23T01:37:54.6344179Z } 2022-11-23T01:37:54.6344243Z 2022-11-23T01:37:54.6344315Z - 2022-11-23T01:37:54.6344440Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6344503Z { 2022-11-23T01:37:54.6344673Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6344782Z 'code': None, 2022-11-23T01:37:54.6344999Z 'obj_weakref': 2022-11-23T01:37:54.6345255Z 'guarded_class': 2022-11-23T01:37:54.6345321Z } 2022-11-23T01:37:54.6345384Z 2022-11-23T01:37:54.6345454Z - 2022-11-23T01:37:54.6345562Z local 'model' NN_MODULE 2022-11-23T01:37:54.6345625Z { 2022-11-23T01:37:54.6345760Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6345933Z 'code': ['___check_obj_id(model, 140538746791952)'], 2022-11-23T01:37:54.6346156Z 'obj_weakref': 2022-11-23T01:37:54.6346395Z 'guarded_class': 2022-11-23T01:37:54.6346461Z } 2022-11-23T01:37:54.6346510Z 2022-11-23T01:37:54.6346581Z - 2022-11-23T01:37:54.6346703Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6346766Z { 2022-11-23T01:37:54.6346904Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6347129Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6347252Z 'obj_weakref': None 2022-11-23T01:37:54.6347463Z 'guarded_class': 2022-11-23T01:37:54.6347528Z } 2022-11-23T01:37:54.6347593Z 2022-11-23T01:37:54.6347664Z - 2022-11-23T01:37:54.6347814Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6347878Z { 2022-11-23T01:37:54.6348001Z 'guard_types': None, 2022-11-23T01:37:54.6348179Z 'code': None, 2022-11-23T01:37:54.6348311Z 'obj_weakref': None 2022-11-23T01:37:54.6348438Z 'guarded_class': None 2022-11-23T01:37:54.6348504Z } 2022-11-23T01:37:54.6348567Z 2022-11-23T01:37:54.6348639Z - 2022-11-23T01:37:54.6348790Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6348840Z { 2022-11-23T01:37:54.6348966Z 'guard_types': None, 2022-11-23T01:37:54.6349080Z 'code': None, 2022-11-23T01:37:54.6349203Z 'obj_weakref': None 2022-11-23T01:37:54.6349332Z 'guarded_class': None 2022-11-23T01:37:54.6349397Z } 2022-11-23T01:37:54.6349448Z 2022-11-23T01:37:54.6349712Z [2022-11-23 01:30:56,920] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 117 2022-11-23T01:37:54.6350081Z [2022-11-23 01:30:56,933] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ic/cic65wla657rcviuvyecm34bpcfudzruebxfxliurryvqdag56i2.py 2022-11-23T01:37:54.6350352Z [2022-11-23 01:30:56,933] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 117 2022-11-23T01:37:54.6350595Z [2022-11-23 01:30:57,368] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6350904Z [2022-11-23 01:30:57,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6351131Z [2022-11-23 01:30:57,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6351378Z [2022-11-23 01:30:57,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6351658Z [2022-11-23 01:30:57,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6351976Z [2022-11-23 01:30:57,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6352244Z [2022-11-23 01:30:57,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6352482Z [2022-11-23 01:30:57,384] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6352738Z [2022-11-23 01:30:57,385] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6352995Z [2022-11-23 01:30:57,507] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6353191Z [2022-11-23 01:30:57,507] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6353328Z __compiled_fn_119 .1043 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6353420Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6353520Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6353608Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6353614Z 2022-11-23T01:37:54.6353894Z [2022-11-23 01:30:57,508] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6353995Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6354088Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6354180Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6354273Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6354353Z 8 RETURN_VALUE 2022-11-23T01:37:54.6354359Z 2022-11-23T01:37:54.6354421Z 2022-11-23T01:37:54.6354681Z [2022-11-23 01:30:57,508] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6354790Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_119) 2022-11-23T01:37:54.6354880Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6354970Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6355049Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6355140Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6355236Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6355300Z 12 RETURN_VALUE 2022-11-23T01:37:54.6355319Z 2022-11-23T01:37:54.6355366Z 2022-11-23T01:37:54.6355552Z [2022-11-23 01:30:57,509] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6355625Z - 2022-11-23T01:37:54.6355748Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6355814Z { 2022-11-23T01:37:54.6355961Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6356138Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6356261Z 'obj_weakref': None 2022-11-23T01:37:54.6356486Z 'guarded_class': 2022-11-23T01:37:54.6356552Z } 2022-11-23T01:37:54.6356615Z 2022-11-23T01:37:54.6356689Z - 2022-11-23T01:37:54.6356815Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6356871Z { 2022-11-23T01:37:54.6357014Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6357122Z 'code': None, 2022-11-23T01:37:54.6357340Z 'obj_weakref': 2022-11-23T01:37:54.6357630Z 'guarded_class': 2022-11-23T01:37:54.6357697Z } 2022-11-23T01:37:54.6357766Z 2022-11-23T01:37:54.6357826Z - 2022-11-23T01:37:54.6357951Z local 'model' NN_MODULE 2022-11-23T01:37:54.6358018Z { 2022-11-23T01:37:54.6358159Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6358332Z 'code': ['___check_obj_id(model, 140538741280016)'], 2022-11-23T01:37:54.6358556Z 'obj_weakref': 2022-11-23T01:37:54.6358794Z 'guarded_class': 2022-11-23T01:37:54.6358889Z } 2022-11-23T01:37:54.6358940Z 2022-11-23T01:37:54.6359011Z - 2022-11-23T01:37:54.6359137Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6359200Z { 2022-11-23T01:37:54.6359339Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6359561Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6359682Z 'obj_weakref': None 2022-11-23T01:37:54.6359895Z 'guarded_class': 2022-11-23T01:37:54.6359959Z } 2022-11-23T01:37:54.6360023Z 2022-11-23T01:37:54.6360092Z - 2022-11-23T01:37:54.6360241Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6360304Z { 2022-11-23T01:37:54.6360414Z 'guard_types': None, 2022-11-23T01:37:54.6360525Z 'code': None, 2022-11-23T01:37:54.6360643Z 'obj_weakref': None 2022-11-23T01:37:54.6360766Z 'guarded_class': None 2022-11-23T01:37:54.6360828Z } 2022-11-23T01:37:54.6360890Z 2022-11-23T01:37:54.6360960Z - 2022-11-23T01:37:54.6361093Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6361158Z { 2022-11-23T01:37:54.6361280Z 'guard_types': None, 2022-11-23T01:37:54.6361390Z 'code': None, 2022-11-23T01:37:54.6361510Z 'obj_weakref': None 2022-11-23T01:37:54.6361631Z 'guarded_class': None 2022-11-23T01:37:54.6361693Z } 2022-11-23T01:37:54.6361743Z 2022-11-23T01:37:54.6362004Z [2022-11-23 01:30:57,520] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 118 2022-11-23T01:37:54.6362009Z 2022-11-23T01:37:54.6362013Z 2022-11-23T01:37:54.6362106Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6362176Z import torch 2022-11-23T01:37:54.6362244Z import random 2022-11-23T01:37:54.6362358Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6362477Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6362482Z 2022-11-23T01:37:54.6362559Z aten = torch.ops.aten 2022-11-23T01:37:54.6362680Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6362771Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6362776Z 2022-11-23T01:37:54.6362780Z 2022-11-23T01:37:54.6362864Z async_compile.wait(globals()) 2022-11-23T01:37:54.6362935Z del async_compile 2022-11-23T01:37:54.6362940Z 2022-11-23T01:37:54.6363011Z def call(args): 2022-11-23T01:37:54.6363128Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6363200Z args.clear() 2022-11-23T01:37:54.6363339Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4) 2022-11-23T01:37:54.6363448Z assert_size_stride(buf0, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1)) 2022-11-23T01:37:54.6363514Z del arg0_1 2022-11-23T01:37:54.6363581Z del arg1_1 2022-11-23T01:37:54.6363644Z del arg7_1 2022-11-23T01:37:54.6363713Z return (buf0, ) 2022-11-23T01:37:54.6363718Z 2022-11-23T01:37:54.6363722Z 2022-11-23T01:37:54.6363796Z if __name__ == "__main__": 2022-11-23T01:37:54.6363936Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6364048Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6364272Z arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6364472Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6364670Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6364863Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6365087Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6365278Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6365460Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6365689Z arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6365845Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6365850Z 2022-11-23T01:37:54.6365855Z 2022-11-23T01:37:54.6365947Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6366015Z import torch 2022-11-23T01:37:54.6366085Z import random 2022-11-23T01:37:54.6366198Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6366318Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6366323Z 2022-11-23T01:37:54.6366399Z aten = torch.ops.aten 2022-11-23T01:37:54.6366521Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6366611Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6366616Z 2022-11-23T01:37:54.6366620Z 2022-11-23T01:37:54.6366755Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.6366958Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.6367078Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.6367178Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.6367238Z { 2022-11-23T01:37:54.6367314Z #pragma GCC ivdep 2022-11-23T01:37:54.6367383Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:37:54.6367442Z { 2022-11-23T01:37:54.6367518Z #pragma GCC ivdep 2022-11-23T01:37:54.6367602Z for(long i1=0; i1<166375; i1+=1) 2022-11-23T01:37:54.6367663Z { 2022-11-23T01:37:54.6367725Z { 2022-11-23T01:37:54.6367787Z { 2022-11-23T01:37:54.6367876Z auto tmp0 = in_ptr0[i0 + (12*i1)]; 2022-11-23T01:37:54.6367974Z out_ptr0[i1 + (166375*i0)] = tmp0; 2022-11-23T01:37:54.6368037Z } 2022-11-23T01:37:54.6368101Z } 2022-11-23T01:37:54.6368162Z } 2022-11-23T01:37:54.6368222Z } 2022-11-23T01:37:54.6368268Z } 2022-11-23T01:37:54.6368347Z ''') 2022-11-23T01:37:54.6368352Z 2022-11-23T01:37:54.6368358Z 2022-11-23T01:37:54.6368447Z async_compile.wait(globals()) 2022-11-23T01:37:54.6368518Z del async_compile 2022-11-23T01:37:54.6368523Z 2022-11-23T01:37:54.6368591Z def call(args): 2022-11-23T01:37:54.6368708Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6368777Z args.clear() 2022-11-23T01:37:54.6369014Z buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6369136Z kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.6369205Z del arg7_1 2022-11-23T01:37:54.6369343Z buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4) 2022-11-23T01:37:54.6369461Z assert_size_stride(buf1, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1)) 2022-11-23T01:37:54.6369527Z del arg0_1 2022-11-23T01:37:54.6369592Z del arg1_1 2022-11-23T01:37:54.6369662Z return (buf1, ) 2022-11-23T01:37:54.6369696Z 2022-11-23T01:37:54.6369701Z 2022-11-23T01:37:54.6369780Z if __name__ == "__main__": 2022-11-23T01:37:54.6369881Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6370003Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6370224Z arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6370421Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6370621Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6370880Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6371074Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6371264Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6371434Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6371671Z arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6371828Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6371833Z 2022-11-23T01:37:54.6371837Z 2022-11-23T01:37:54.6371931Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6372000Z import torch 2022-11-23T01:37:54.6372070Z import random 2022-11-23T01:37:54.6372187Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6372310Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6372317Z 2022-11-23T01:37:54.6372384Z aten = torch.ops.aten 2022-11-23T01:37:54.6372516Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6372610Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6372615Z 2022-11-23T01:37:54.6372619Z 2022-11-23T01:37:54.6372706Z async_compile.wait(globals()) 2022-11-23T01:37:54.6372780Z del async_compile 2022-11-23T01:37:54.6372785Z 2022-11-23T01:37:54.6372854Z def call(args): 2022-11-23T01:37:54.6372971Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6373042Z args.clear() 2022-11-23T01:37:54.6373171Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1) 2022-11-23T01:37:54.6373289Z assert_size_stride(buf0, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1)) 2022-11-23T01:37:54.6373356Z del arg0_1 2022-11-23T01:37:54.6373421Z del arg1_1 2022-11-23T01:37:54.6373484Z del arg7_1 2022-11-23T01:37:54.6373556Z return (buf0, ) 2022-11-23T01:37:54.6373561Z 2022-11-23T01:37:54.6373565Z 2022-11-23T01:37:54.6373638Z if __name__ == "__main__": 2022-11-23T01:37:54.6373738Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6373858Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6374077Z arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6374272Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6374464Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6374654Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6374841Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6375026Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6375192Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6375430Z arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6375584Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6375590Z 2022-11-23T01:37:54.6375594Z 2022-11-23T01:37:54.6375715Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6375787Z import torch 2022-11-23T01:37:54.6375856Z import random 2022-11-23T01:37:54.6375968Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6376087Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6376092Z 2022-11-23T01:37:54.6376172Z aten = torch.ops.aten 2022-11-23T01:37:54.6376291Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6376381Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6376386Z 2022-11-23T01:37:54.6376390Z 2022-11-23T01:37:54.6376556Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.6376764Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.6376881Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.6376980Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.6377040Z { 2022-11-23T01:37:54.6377108Z #pragma GCC ivdep 2022-11-23T01:37:54.6377187Z for(long i0=0; i0<3; i0+=1) 2022-11-23T01:37:54.6377247Z { 2022-11-23T01:37:54.6377323Z #pragma GCC ivdep 2022-11-23T01:37:54.6377408Z for(long i1=0; i1<166375; i1+=1) 2022-11-23T01:37:54.6377469Z { 2022-11-23T01:37:54.6377531Z { 2022-11-23T01:37:54.6377583Z { 2022-11-23T01:37:54.6377681Z auto tmp0 = in_ptr0[i0 + (3*i1)]; 2022-11-23T01:37:54.6377774Z out_ptr0[i1 + (166375*i0)] = tmp0; 2022-11-23T01:37:54.6377836Z } 2022-11-23T01:37:54.6377898Z } 2022-11-23T01:37:54.6377962Z } 2022-11-23T01:37:54.6378023Z } 2022-11-23T01:37:54.6378070Z } 2022-11-23T01:37:54.6378149Z ''') 2022-11-23T01:37:54.6378154Z 2022-11-23T01:37:54.6378159Z 2022-11-23T01:37:54.6378246Z async_compile.wait(globals()) 2022-11-23T01:37:54.6378318Z del async_compile 2022-11-23T01:37:54.6378323Z 2022-11-23T01:37:54.6378391Z def call(args): 2022-11-23T01:37:54.6378513Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6378582Z args.clear() 2022-11-23T01:37:54.6378991Z buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6379141Z kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.6379210Z del arg7_1 2022-11-23T01:37:54.6379350Z buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1) 2022-11-23T01:37:54.6379468Z assert_size_stride(buf1, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1)) 2022-11-23T01:37:54.6379539Z del arg0_1 2022-11-23T01:37:54.6379606Z del arg1_1 2022-11-23T01:37:54.6379678Z return (buf1, ) 2022-11-23T01:37:54.6379683Z 2022-11-23T01:37:54.6379687Z 2022-11-23T01:37:54.6379749Z if __name__ == "__main__": 2022-11-23T01:37:54.6379860Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6379983Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6380208Z arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6380403Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6380600Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6380791Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6380981Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6381158Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6381338Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6381569Z arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6381781Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6381787Z 2022-11-23T01:37:54.6381792Z 2022-11-23T01:37:54.6381886Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6381956Z import torch 2022-11-23T01:37:54.6382025Z import random 2022-11-23T01:37:54.6382140Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6382249Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6382254Z 2022-11-23T01:37:54.6382330Z aten = torch.ops.aten 2022-11-23T01:37:54.6382462Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6382554Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6382593Z 2022-11-23T01:37:54.6382597Z 2022-11-23T01:37:54.6382687Z async_compile.wait(globals()) 2022-11-23T01:37:54.6382760Z del async_compile 2022-11-23T01:37:54.6382765Z 2022-11-23T01:37:54.6382835Z def call(args): 2022-11-23T01:37:54.6382956Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6383018Z args.clear() 2022-11-23T01:37:54.6383160Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4) 2022-11-23T01:37:54.6383282Z assert_size_stride(buf0, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1)) 2022-11-23T01:37:54.6383351Z del arg0_1 2022-11-23T01:37:54.6383418Z del arg1_1 2022-11-23T01:37:54.6383485Z del arg7_1 2022-11-23T01:37:54.6383556Z return (buf0, ) 2022-11-23T01:37:54.6383561Z 2022-11-23T01:37:54.6383566Z 2022-11-23T01:37:54.6383641Z if __name__ == "__main__": 2022-11-23T01:37:54.6383742Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6383868Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6384092Z arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6384295Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6384494Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6384688Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6384884Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6385075Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6385244Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6385481Z arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6385637Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6386023Z [2022-11-23 01:30:57,526] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mo/cmosqlnk7cqasnwwejgosx6scyzawgxxb2pev5kvplvmeihyx457.py 2022-11-23T01:37:54.6386296Z [2022-11-23 01:30:57,527] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 118 2022-11-23T01:37:54.6386540Z [2022-11-23 01:30:58,831] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6386813Z [2022-11-23 01:30:58,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6387037Z [2022-11-23 01:30:58,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6387283Z [2022-11-23 01:30:58,831] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6387551Z [2022-11-23 01:30:58,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6387871Z [2022-11-23 01:30:58,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6388219Z [2022-11-23 01:30:58,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6388466Z [2022-11-23 01:30:58,848] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6388721Z [2022-11-23 01:30:58,849] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6388973Z [2022-11-23 01:30:58,976] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6389170Z [2022-11-23 01:30:58,976] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6389307Z __compiled_fn_120 .1054 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6389434Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6389523Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6389622Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6389627Z 2022-11-23T01:37:54.6389908Z [2022-11-23 01:30:58,977] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6390007Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6390099Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6390193Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6390285Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6390349Z 8 RETURN_VALUE 2022-11-23T01:37:54.6390366Z 2022-11-23T01:37:54.6390413Z 2022-11-23T01:37:54.6390691Z [2022-11-23 01:30:58,977] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6390803Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_120) 2022-11-23T01:37:54.6390895Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6390985Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6391064Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6391150Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6391231Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6391307Z 12 RETURN_VALUE 2022-11-23T01:37:54.6391312Z 2022-11-23T01:37:54.6391373Z 2022-11-23T01:37:54.6391562Z [2022-11-23 01:30:58,977] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6391635Z - 2022-11-23T01:37:54.6391758Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6391822Z { 2022-11-23T01:37:54.6391951Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6392140Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6392267Z 'obj_weakref': None 2022-11-23T01:37:54.6392498Z 'guarded_class': 2022-11-23T01:37:54.6392561Z } 2022-11-23T01:37:54.6392624Z 2022-11-23T01:37:54.6392693Z - 2022-11-23T01:37:54.6392807Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6392870Z { 2022-11-23T01:37:54.6393014Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6393122Z 'code': None, 2022-11-23T01:37:54.6393334Z 'obj_weakref': 2022-11-23T01:37:54.6393589Z 'guarded_class': 2022-11-23T01:37:54.6393654Z } 2022-11-23T01:37:54.6393704Z 2022-11-23T01:37:54.6393773Z - 2022-11-23T01:37:54.6393893Z local 'model' NN_MODULE 2022-11-23T01:37:54.6393956Z { 2022-11-23T01:37:54.6394090Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6394264Z 'code': ['___check_obj_id(model, 140538741280016)'], 2022-11-23T01:37:54.6394486Z 'obj_weakref': 2022-11-23T01:37:54.6394713Z 'guarded_class': 2022-11-23T01:37:54.6394804Z } 2022-11-23T01:37:54.6394869Z 2022-11-23T01:37:54.6394939Z - 2022-11-23T01:37:54.6395062Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6395123Z { 2022-11-23T01:37:54.6395262Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6395470Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6395592Z 'obj_weakref': None 2022-11-23T01:37:54.6395813Z 'guarded_class': 2022-11-23T01:37:54.6395906Z } 2022-11-23T01:37:54.6395966Z 2022-11-23T01:37:54.6396036Z - 2022-11-23T01:37:54.6396182Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6396233Z { 2022-11-23T01:37:54.6396356Z 'guard_types': None, 2022-11-23T01:37:54.6396463Z 'code': None, 2022-11-23T01:37:54.6396583Z 'obj_weakref': None 2022-11-23T01:37:54.6396705Z 'guarded_class': None 2022-11-23T01:37:54.6396767Z } 2022-11-23T01:37:54.6396830Z 2022-11-23T01:37:54.6396889Z - 2022-11-23T01:37:54.6397034Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6397096Z { 2022-11-23T01:37:54.6397216Z 'guard_types': None, 2022-11-23T01:37:54.6397323Z 'code': None, 2022-11-23T01:37:54.6397443Z 'obj_weakref': None 2022-11-23T01:37:54.6397564Z 'guarded_class': None 2022-11-23T01:37:54.6397615Z } 2022-11-23T01:37:54.6397678Z 2022-11-23T01:37:54.6397942Z [2022-11-23 01:30:58,988] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 119 2022-11-23T01:37:54.6398305Z [2022-11-23 01:30:59,000] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vm/cvmicyg3xwwl74gb4w67x6cm46zbopia7ew7u27y4bomfajtkajl.py 2022-11-23T01:37:54.6398573Z [2022-11-23 01:30:59,000] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 119 2022-11-23T01:37:54.6398811Z [2022-11-23 01:31:00,193] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6399083Z [2022-11-23 01:31:00,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6399302Z [2022-11-23 01:31:00,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6399535Z [2022-11-23 01:31:00,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6399816Z [2022-11-23 01:31:00,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6400132Z [2022-11-23 01:31:00,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6400383Z [2022-11-23 01:31:00,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6400620Z [2022-11-23 01:31:00,209] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6400874Z [2022-11-23 01:31:00,210] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6401124Z [2022-11-23 01:31:00,271] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6401313Z [2022-11-23 01:31:00,271] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6401450Z __compiled_fn_121 .1065 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6401527Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6401624Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6401720Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6401725Z 2022-11-23T01:37:54.6402035Z [2022-11-23 01:31:00,272] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6402133Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6402222Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6402313Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6402402Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6402466Z 8 RETURN_VALUE 2022-11-23T01:37:54.6402471Z 2022-11-23T01:37:54.6402530Z 2022-11-23T01:37:54.6402805Z [2022-11-23 01:31:00,272] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6402945Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_121) 2022-11-23T01:37:54.6403032Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6403118Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6403193Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6403271Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6403362Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6403435Z 12 RETURN_VALUE 2022-11-23T01:37:54.6403440Z 2022-11-23T01:37:54.6403499Z 2022-11-23T01:37:54.6403684Z [2022-11-23 01:31:00,273] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6403755Z - 2022-11-23T01:37:54.6403875Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6403926Z { 2022-11-23T01:37:54.6404066Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6404255Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6404378Z 'obj_weakref': None 2022-11-23T01:37:54.6404604Z 'guarded_class': 2022-11-23T01:37:54.6404668Z } 2022-11-23T01:37:54.6404729Z 2022-11-23T01:37:54.6404787Z - 2022-11-23T01:37:54.6404913Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6404978Z { 2022-11-23T01:37:54.6405123Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6405230Z 'code': None, 2022-11-23T01:37:54.6405442Z 'obj_weakref': 2022-11-23T01:37:54.6405696Z 'guarded_class': 2022-11-23T01:37:54.6405758Z } 2022-11-23T01:37:54.6405807Z 2022-11-23T01:37:54.6405876Z - 2022-11-23T01:37:54.6405998Z local 'model' NN_MODULE 2022-11-23T01:37:54.6406062Z { 2022-11-23T01:37:54.6406198Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6406370Z 'code': ['___check_obj_id(model, 140538914318096)'], 2022-11-23T01:37:54.6406594Z 'obj_weakref': 2022-11-23T01:37:54.6406819Z 'guarded_class': 2022-11-23T01:37:54.6406883Z } 2022-11-23T01:37:54.6406945Z 2022-11-23T01:37:54.6407014Z - 2022-11-23T01:37:54.6407136Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6407198Z { 2022-11-23T01:37:54.6407323Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6407540Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6407659Z 'obj_weakref': None 2022-11-23T01:37:54.6407881Z 'guarded_class': 2022-11-23T01:37:54.6407947Z } 2022-11-23T01:37:54.6408007Z 2022-11-23T01:37:54.6408077Z - 2022-11-23T01:37:54.6408224Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6408276Z { 2022-11-23T01:37:54.6408396Z 'guard_types': None, 2022-11-23T01:37:54.6408534Z 'code': None, 2022-11-23T01:37:54.6408656Z 'obj_weakref': None 2022-11-23T01:37:54.6408778Z 'guarded_class': None 2022-11-23T01:37:54.6408843Z } 2022-11-23T01:37:54.6408891Z 2022-11-23T01:37:54.6408959Z - 2022-11-23T01:37:54.6409105Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6409167Z { 2022-11-23T01:37:54.6409286Z 'guard_types': None, 2022-11-23T01:37:54.6409395Z 'code': None, 2022-11-23T01:37:54.6409514Z 'obj_weakref': None 2022-11-23T01:37:54.6409623Z 'guarded_class': None 2022-11-23T01:37:54.6409716Z } 2022-11-23T01:37:54.6409776Z 2022-11-23T01:37:54.6410038Z [2022-11-23 01:31:00,283] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 120 2022-11-23T01:37:54.6410418Z [2022-11-23 01:31:00,289] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ps/cps2wgjnzsis5cucfgvykq4vtngasrlhca36hb5lbgqitxhadpif.py 2022-11-23T01:37:54.6410683Z [2022-11-23 01:31:00,289] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 120 2022-11-23T01:37:54.6410922Z [2022-11-23 01:31:00,599] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6411192Z [2022-11-23 01:31:00,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6411398Z [2022-11-23 01:31:00,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6411643Z [2022-11-23 01:31:00,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6411923Z [2022-11-23 01:31:00,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6412242Z [2022-11-23 01:31:00,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6412491Z [2022-11-23 01:31:00,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6412726Z [2022-11-23 01:31:00,615] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6412980Z [2022-11-23 01:31:00,616] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6413231Z [2022-11-23 01:31:00,677] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6413422Z [2022-11-23 01:31:00,678] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6413547Z __compiled_fn_122 .1076 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6413634Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6413733Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6413830Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6413835Z 2022-11-23T01:37:54.6414118Z [2022-11-23 01:31:00,678] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6414212Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6414301Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6414394Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6414470Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6414544Z 8 RETURN_VALUE 2022-11-23T01:37:54.6414549Z 2022-11-23T01:37:54.6414608Z 2022-11-23T01:37:54.6414883Z [2022-11-23 01:31:00,678] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6414993Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_122) 2022-11-23T01:37:54.6415084Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6415172Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6415276Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6415353Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6415442Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6415516Z 12 RETURN_VALUE 2022-11-23T01:37:54.6415521Z 2022-11-23T01:37:54.6415578Z 2022-11-23T01:37:54.6415766Z [2022-11-23 01:31:00,679] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6415838Z - 2022-11-23T01:37:54.6415962Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6416014Z { 2022-11-23T01:37:54.6416156Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6416392Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6416516Z 'obj_weakref': None 2022-11-23T01:37:54.6416743Z 'guarded_class': 2022-11-23T01:37:54.6416807Z } 2022-11-23T01:37:54.6416868Z 2022-11-23T01:37:54.6416926Z - 2022-11-23T01:37:54.6417055Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6417119Z { 2022-11-23T01:37:54.6417264Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6417374Z 'code': None, 2022-11-23T01:37:54.6417591Z 'obj_weakref': 2022-11-23T01:37:54.6417850Z 'guarded_class': 2022-11-23T01:37:54.6417901Z } 2022-11-23T01:37:54.6417964Z 2022-11-23T01:37:54.6418036Z - 2022-11-23T01:37:54.6418162Z local 'model' NN_MODULE 2022-11-23T01:37:54.6418225Z { 2022-11-23T01:37:54.6418363Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6418534Z 'code': ['___check_obj_id(model, 140538914318096)'], 2022-11-23T01:37:54.6418908Z 'obj_weakref': 2022-11-23T01:37:54.6419211Z 'guarded_class': 2022-11-23T01:37:54.6419276Z } 2022-11-23T01:37:54.6419337Z 2022-11-23T01:37:54.6419408Z - 2022-11-23T01:37:54.6419532Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6419596Z { 2022-11-23T01:37:54.6419722Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6419940Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6420062Z 'obj_weakref': None 2022-11-23T01:37:54.6420289Z 'guarded_class': 2022-11-23T01:37:54.6420351Z } 2022-11-23T01:37:54.6420414Z 2022-11-23T01:37:54.6420487Z - 2022-11-23T01:37:54.6420624Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6420687Z { 2022-11-23T01:37:54.6420811Z 'guard_types': None, 2022-11-23T01:37:54.6420920Z 'code': None, 2022-11-23T01:37:54.6421041Z 'obj_weakref': None 2022-11-23T01:37:54.6421163Z 'guarded_class': None 2022-11-23T01:37:54.6421227Z } 2022-11-23T01:37:54.6421276Z 2022-11-23T01:37:54.6421349Z - 2022-11-23T01:37:54.6421496Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6421560Z { 2022-11-23T01:37:54.6421682Z 'guard_types': None, 2022-11-23T01:37:54.6421790Z 'code': None, 2022-11-23T01:37:54.6421909Z 'obj_weakref': None 2022-11-23T01:37:54.6422021Z 'guarded_class': None 2022-11-23T01:37:54.6422083Z } 2022-11-23T01:37:54.6422143Z 2022-11-23T01:37:54.6422406Z [2022-11-23 01:31:00,689] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 121 2022-11-23T01:37:54.6422832Z [2022-11-23 01:31:00,701] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bf/cbfiaj4poi6npqfyvzc5mt3phy2odhsgnghhqvo5r4qlbuzyvdvh.py 2022-11-23T01:37:54.6423105Z [2022-11-23 01:31:00,701] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 121 2022-11-23T01:37:54.6423342Z [2022-11-23 01:31:01,190] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6423611Z [2022-11-23 01:31:01,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6423817Z [2022-11-23 01:31:01,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6424103Z [2022-11-23 01:31:01,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6424382Z [2022-11-23 01:31:01,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6424703Z [2022-11-23 01:31:01,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6424956Z [2022-11-23 01:31:01,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6425195Z [2022-11-23 01:31:01,206] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6425454Z [2022-11-23 01:31:01,207] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6425708Z [2022-11-23 01:31:01,400] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6425905Z [2022-11-23 01:31:01,400] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6426029Z __compiled_fn_123 .1087 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6426118Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6426218Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6426322Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6426328Z 2022-11-23T01:37:54.6426608Z [2022-11-23 01:31:01,401] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6426705Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6426804Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6426897Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6426975Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6427053Z 8 RETURN_VALUE 2022-11-23T01:37:54.6427062Z 2022-11-23T01:37:54.6427126Z 2022-11-23T01:37:54.6427403Z [2022-11-23 01:31:01,401] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6427516Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_123) 2022-11-23T01:37:54.6427607Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6434289Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6434413Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6434494Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6434590Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6434666Z 12 RETURN_VALUE 2022-11-23T01:37:54.6434672Z 2022-11-23T01:37:54.6434735Z 2022-11-23T01:37:54.6434958Z [2022-11-23 01:31:01,401] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6435032Z - 2022-11-23T01:37:54.6435153Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6435207Z { 2022-11-23T01:37:54.6435354Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6435548Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6435669Z 'obj_weakref': None 2022-11-23T01:37:54.6435899Z 'guarded_class': 2022-11-23T01:37:54.6435961Z } 2022-11-23T01:37:54.6436102Z 2022-11-23T01:37:54.6436164Z - 2022-11-23T01:37:54.6436292Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6436356Z { 2022-11-23T01:37:54.6436503Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6436613Z 'code': None, 2022-11-23T01:37:54.6436831Z 'obj_weakref': 2022-11-23T01:37:54.6437088Z 'guarded_class': 2022-11-23T01:37:54.6437140Z } 2022-11-23T01:37:54.6437240Z 2022-11-23T01:37:54.6437311Z - 2022-11-23T01:37:54.6437432Z local 'model' NN_MODULE 2022-11-23T01:37:54.6437497Z { 2022-11-23T01:37:54.6437633Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6437806Z 'code': ['___check_obj_id(model, 140538914267472)'], 2022-11-23T01:37:54.6438019Z 'obj_weakref': 2022-11-23T01:37:54.6438257Z 'guarded_class': 2022-11-23T01:37:54.6438320Z } 2022-11-23T01:37:54.6438380Z 2022-11-23T01:37:54.6438447Z - 2022-11-23T01:37:54.6438573Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6438635Z { 2022-11-23T01:37:54.6438762Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6438984Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6439108Z 'obj_weakref': None 2022-11-23T01:37:54.6439331Z 'guarded_class': 2022-11-23T01:37:54.6439393Z } 2022-11-23T01:37:54.6439453Z 2022-11-23T01:37:54.6439524Z - 2022-11-23T01:37:54.6439658Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6439723Z { 2022-11-23T01:37:54.6439843Z 'guard_types': None, 2022-11-23T01:37:54.6439951Z 'code': None, 2022-11-23T01:37:54.6440069Z 'obj_weakref': None 2022-11-23T01:37:54.6440189Z 'guarded_class': None 2022-11-23T01:37:54.6440250Z } 2022-11-23T01:37:54.6440299Z 2022-11-23T01:37:54.6440369Z - 2022-11-23T01:37:54.6440514Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6440575Z { 2022-11-23T01:37:54.6440694Z 'guard_types': None, 2022-11-23T01:37:54.6440805Z 'code': None, 2022-11-23T01:37:54.6440911Z 'obj_weakref': None 2022-11-23T01:37:54.6441031Z 'guarded_class': None 2022-11-23T01:37:54.6441091Z } 2022-11-23T01:37:54.6441153Z 2022-11-23T01:37:54.6441414Z [2022-11-23 01:31:01,412] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 122 2022-11-23T01:37:54.6441793Z [2022-11-23 01:31:01,417] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fi/cfiiz3sw7ji5ibt2tuewxyatbmckziut6z4qnguzegvb5mquwmvm.py 2022-11-23T01:37:54.6442060Z [2022-11-23 01:31:01,418] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 122 2022-11-23T01:37:54.6442299Z [2022-11-23 01:31:02,748] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6442558Z [2022-11-23 01:31:02,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6442784Z [2022-11-23 01:31:02,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6443029Z [2022-11-23 01:31:02,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6443306Z [2022-11-23 01:31:02,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6443656Z [2022-11-23 01:31:02,748] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6443909Z [2022-11-23 01:31:02,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6444145Z [2022-11-23 01:31:02,764] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6444400Z [2022-11-23 01:31:02,765] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6444649Z [2022-11-23 01:31:02,963] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6444875Z [2022-11-23 01:31:02,963] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6444999Z __compiled_fn_124 .1098 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6445088Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6445189Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6445286Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6445292Z 2022-11-23T01:37:54.6445568Z [2022-11-23 01:31:02,964] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6445659Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6445751Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6445831Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6445918Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6445997Z 8 RETURN_VALUE 2022-11-23T01:37:54.6446002Z 2022-11-23T01:37:54.6446059Z 2022-11-23T01:37:54.6446336Z [2022-11-23 01:31:02,964] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6446446Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_124) 2022-11-23T01:37:54.6446538Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6446628Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6446690Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6446775Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6446866Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6446939Z 12 RETURN_VALUE 2022-11-23T01:37:54.6446944Z 2022-11-23T01:37:54.6447001Z 2022-11-23T01:37:54.6447185Z [2022-11-23 01:31:02,964] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6447254Z - 2022-11-23T01:37:54.6447361Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6447426Z { 2022-11-23T01:37:54.6447568Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6447757Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6447877Z 'obj_weakref': None 2022-11-23T01:37:54.6448106Z 'guarded_class': 2022-11-23T01:37:54.6448171Z } 2022-11-23T01:37:54.6448221Z 2022-11-23T01:37:54.6448290Z - 2022-11-23T01:37:54.6448413Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6448475Z { 2022-11-23T01:37:54.6448619Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6448727Z 'code': None, 2022-11-23T01:37:54.6448942Z 'obj_weakref': 2022-11-23T01:37:54.6449186Z 'guarded_class': 2022-11-23T01:37:54.6449253Z } 2022-11-23T01:37:54.6449314Z 2022-11-23T01:37:54.6449383Z - 2022-11-23T01:37:54.6449504Z local 'model' NN_MODULE 2022-11-23T01:37:54.6449565Z { 2022-11-23T01:37:54.6449700Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6449892Z 'code': ['___check_obj_id(model, 140538914267472)'], 2022-11-23T01:37:54.6450117Z 'obj_weakref': 2022-11-23T01:37:54.6450353Z 'guarded_class': 2022-11-23T01:37:54.6450416Z } 2022-11-23T01:37:54.6450475Z 2022-11-23T01:37:54.6450543Z - 2022-11-23T01:37:54.6450665Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6450715Z { 2022-11-23T01:37:54.6450851Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6451072Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6451228Z 'obj_weakref': None 2022-11-23T01:37:54.6451451Z 'guarded_class': 2022-11-23T01:37:54.6451514Z } 2022-11-23T01:37:54.6451575Z 2022-11-23T01:37:54.6451632Z - 2022-11-23T01:37:54.6451782Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6451844Z { 2022-11-23T01:37:54.6451965Z 'guard_types': None, 2022-11-23T01:37:54.6452074Z 'code': None, 2022-11-23T01:37:54.6452191Z 'obj_weakref': None 2022-11-23T01:37:54.6452312Z 'guarded_class': None 2022-11-23T01:37:54.6452362Z } 2022-11-23T01:37:54.6452422Z 2022-11-23T01:37:54.6452489Z - 2022-11-23T01:37:54.6452637Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6452699Z { 2022-11-23T01:37:54.6452824Z 'guard_types': None, 2022-11-23T01:37:54.6452931Z 'code': None, 2022-11-23T01:37:54.6453037Z 'obj_weakref': None 2022-11-23T01:37:54.6453160Z 'guarded_class': None 2022-11-23T01:37:54.6453220Z } 2022-11-23T01:37:54.6453280Z 2022-11-23T01:37:54.6453546Z [2022-11-23 01:31:02,977] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 123 2022-11-23T01:37:54.6453552Z 2022-11-23T01:37:54.6453557Z 2022-11-23T01:37:54.6453649Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6453713Z import torch 2022-11-23T01:37:54.6453769Z import random 2022-11-23T01:37:54.6453880Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6453999Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6454005Z 2022-11-23T01:37:54.6454082Z aten = torch.ops.aten 2022-11-23T01:37:54.6454214Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6454307Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6454312Z 2022-11-23T01:37:54.6454316Z 2022-11-23T01:37:54.6454450Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.6454657Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.6454762Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.6454864Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.6454923Z { 2022-11-23T01:37:54.6455001Z #pragma GCC ivdep 2022-11-23T01:37:54.6455079Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:37:54.6455139Z { 2022-11-23T01:37:54.6455215Z #pragma GCC ivdep 2022-11-23T01:37:54.6455286Z for(long i1=0; i1<166375; i1+=1) 2022-11-23T01:37:54.6455345Z { 2022-11-23T01:37:54.6455407Z { 2022-11-23T01:37:54.6455468Z { 2022-11-23T01:37:54.6455566Z auto tmp0 = in_ptr0[i0 + (12*i1)]; 2022-11-23T01:37:54.6455658Z out_ptr0[i1 + (166375*i0)] = tmp0; 2022-11-23T01:37:54.6455723Z } 2022-11-23T01:37:54.6455773Z } 2022-11-23T01:37:54.6455833Z } 2022-11-23T01:37:54.6455894Z } 2022-11-23T01:37:54.6455951Z } 2022-11-23T01:37:54.6456029Z ''') 2022-11-23T01:37:54.6456035Z 2022-11-23T01:37:54.6456039Z 2022-11-23T01:37:54.6456125Z async_compile.wait(globals()) 2022-11-23T01:37:54.6456231Z del async_compile 2022-11-23T01:37:54.6456237Z 2022-11-23T01:37:54.6456296Z def call(args): 2022-11-23T01:37:54.6456414Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6456484Z args.clear() 2022-11-23T01:37:54.6456726Z buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6456861Z kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.6456927Z del arg7_1 2022-11-23T01:37:54.6457066Z buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4) 2022-11-23T01:37:54.6457216Z assert_size_stride(buf1, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1)) 2022-11-23T01:37:54.6457272Z del arg0_1 2022-11-23T01:37:54.6457336Z del arg1_1 2022-11-23T01:37:54.6457404Z return (buf1, ) 2022-11-23T01:37:54.6457409Z 2022-11-23T01:37:54.6457414Z 2022-11-23T01:37:54.6457488Z if __name__ == "__main__": 2022-11-23T01:37:54.6457602Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6457723Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6457946Z arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6458133Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6458330Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6458519Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6458715Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6459159Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6459347Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6459588Z arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6459747Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6459752Z 2022-11-23T01:37:54.6459756Z 2022-11-23T01:37:54.6459849Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6459906Z import torch 2022-11-23T01:37:54.6459975Z import random 2022-11-23T01:37:54.6460088Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6460207Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6460212Z 2022-11-23T01:37:54.6460292Z aten = torch.ops.aten 2022-11-23T01:37:54.6460428Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6460517Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6460521Z 2022-11-23T01:37:54.6460526Z 2022-11-23T01:37:54.6460612Z async_compile.wait(globals()) 2022-11-23T01:37:54.6460671Z del async_compile 2022-11-23T01:37:54.6460676Z 2022-11-23T01:37:54.6460746Z def call(args): 2022-11-23T01:37:54.6460861Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6460931Z args.clear() 2022-11-23T01:37:54.6461070Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1) 2022-11-23T01:37:54.6461186Z assert_size_stride(buf0, (1, 32, 53, 53, 53), (4764064, 148877, 2809, 53, 1)) 2022-11-23T01:37:54.6461252Z del arg0_1 2022-11-23T01:37:54.6461305Z del arg1_1 2022-11-23T01:37:54.6461367Z del arg7_1 2022-11-23T01:37:54.6461436Z return (buf0, ) 2022-11-23T01:37:54.6461443Z 2022-11-23T01:37:54.6461447Z 2022-11-23T01:37:54.6461525Z if __name__ == "__main__": 2022-11-23T01:37:54.6461635Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6461755Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6461975Z arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6462235Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6462421Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6462610Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6462808Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6462994Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6463176Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6463445Z arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6463603Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6463609Z 2022-11-23T01:37:54.6463613Z 2022-11-23T01:37:54.6463707Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6463778Z import torch 2022-11-23T01:37:54.6463850Z import random 2022-11-23T01:37:54.6463965Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6464087Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6464092Z 2022-11-23T01:37:54.6464169Z aten = torch.ops.aten 2022-11-23T01:37:54.6464288Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6464377Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6464381Z 2022-11-23T01:37:54.6464385Z 2022-11-23T01:37:54.6464521Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.6464723Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.6464844Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.6464943Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.6465002Z { 2022-11-23T01:37:54.6465076Z #pragma GCC ivdep 2022-11-23T01:37:54.6465143Z for(long i0=0; i0<3; i0+=1) 2022-11-23T01:37:54.6465208Z { 2022-11-23T01:37:54.6465285Z #pragma GCC ivdep 2022-11-23T01:37:54.6465369Z for(long i1=0; i1<166375; i1+=1) 2022-11-23T01:37:54.6465430Z { 2022-11-23T01:37:54.6465492Z { 2022-11-23T01:37:54.6465543Z { 2022-11-23T01:37:54.6465643Z auto tmp0 = in_ptr0[i0 + (3*i1)]; 2022-11-23T01:37:54.6465735Z out_ptr0[i1 + (166375*i0)] = tmp0; 2022-11-23T01:37:54.6465801Z } 2022-11-23T01:37:54.6465865Z } 2022-11-23T01:37:54.6465928Z } 2022-11-23T01:37:54.6465992Z } 2022-11-23T01:37:54.6466041Z } 2022-11-23T01:37:54.6466122Z ''') 2022-11-23T01:37:54.6466128Z 2022-11-23T01:37:54.6466132Z 2022-11-23T01:37:54.6466218Z async_compile.wait(globals()) 2022-11-23T01:37:54.6466291Z del async_compile 2022-11-23T01:37:54.6466296Z 2022-11-23T01:37:54.6466367Z def call(args): 2022-11-23T01:37:54.6466487Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6466561Z args.clear() 2022-11-23T01:37:54.6466798Z buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6466921Z kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.6466987Z del arg7_1 2022-11-23T01:37:54.6467128Z buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1) 2022-11-23T01:37:54.6467244Z assert_size_stride(buf1, (1, 32, 53, 53, 53), (4764064, 148877, 2809, 53, 1)) 2022-11-23T01:37:54.6467313Z del arg0_1 2022-11-23T01:37:54.6467384Z del arg1_1 2022-11-23T01:37:54.6467456Z return (buf1, ) 2022-11-23T01:37:54.6467461Z 2022-11-23T01:37:54.6467465Z 2022-11-23T01:37:54.6467540Z if __name__ == "__main__": 2022-11-23T01:37:54.6467640Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6467763Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6468020Z arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6468295Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6468493Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6468685Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6468875Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6469050Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6469285Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6469520Z arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6469677Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6469682Z 2022-11-23T01:37:54.6469689Z 2022-11-23T01:37:54.6469785Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6469855Z import torch 2022-11-23T01:37:54.6469927Z import random 2022-11-23T01:37:54.6470043Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6470151Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6470169Z 2022-11-23T01:37:54.6470234Z aten = torch.ops.aten 2022-11-23T01:37:54.6470366Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6470458Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6470463Z 2022-11-23T01:37:54.6470469Z 2022-11-23T01:37:54.6470558Z async_compile.wait(globals()) 2022-11-23T01:37:54.6470630Z del async_compile 2022-11-23T01:37:54.6470635Z 2022-11-23T01:37:54.6470704Z def call(args): 2022-11-23T01:37:54.6470820Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6470878Z args.clear() 2022-11-23T01:37:54.6471022Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4) 2022-11-23T01:37:54.6471139Z assert_size_stride(buf0, (1, 128, 53, 53, 53), (19056256, 148877, 2809, 53, 1)) 2022-11-23T01:37:54.6471206Z del arg0_1 2022-11-23T01:37:54.6471271Z del arg1_1 2022-11-23T01:37:54.6471335Z del arg7_1 2022-11-23T01:37:54.6471405Z return (buf0, ) 2022-11-23T01:37:54.6471409Z 2022-11-23T01:37:54.6471413Z 2022-11-23T01:37:54.6471488Z if __name__ == "__main__": 2022-11-23T01:37:54.6471588Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6471710Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6471939Z arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6472135Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6472333Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6472527Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6472721Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6472910Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6473079Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6473317Z arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6473475Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6473483Z 2022-11-23T01:37:54.6473488Z 2022-11-23T01:37:54.6473580Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6473649Z import torch 2022-11-23T01:37:54.6473719Z import random 2022-11-23T01:37:54.6473830Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6473948Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6473981Z 2022-11-23T01:37:54.6474048Z aten = torch.ops.aten 2022-11-23T01:37:54.6474180Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6474270Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6474274Z 2022-11-23T01:37:54.6474278Z 2022-11-23T01:37:54.6474415Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.6474617Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.6474734Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.6474833Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.6474925Z { 2022-11-23T01:37:54.6474988Z #pragma GCC ivdep 2022-11-23T01:37:54.6475067Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:37:54.6475125Z { 2022-11-23T01:37:54.6475201Z #pragma GCC ivdep 2022-11-23T01:37:54.6475285Z for(long i1=0; i1<166375; i1+=1) 2022-11-23T01:37:54.6475346Z { 2022-11-23T01:37:54.6475411Z { 2022-11-23T01:37:54.6475463Z { 2022-11-23T01:37:54.6475564Z auto tmp0 = in_ptr0[i0 + (12*i1)]; 2022-11-23T01:37:54.6475658Z out_ptr0[i1 + (166375*i0)] = tmp0; 2022-11-23T01:37:54.6475722Z } 2022-11-23T01:37:54.6475783Z } 2022-11-23T01:37:54.6475843Z } 2022-11-23T01:37:54.6475891Z } 2022-11-23T01:37:54.6475948Z } 2022-11-23T01:37:54.6476028Z ''') 2022-11-23T01:37:54.6476033Z 2022-11-23T01:37:54.6476037Z 2022-11-23T01:37:54.6476125Z async_compile.wait(globals()) 2022-11-23T01:37:54.6476196Z del async_compile 2022-11-23T01:37:54.6476203Z 2022-11-23T01:37:54.6476270Z def call(args): 2022-11-23T01:37:54.6476386Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6476454Z args.clear() 2022-11-23T01:37:54.6476682Z buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6476813Z kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.6476883Z del arg7_1 2022-11-23T01:37:54.6477022Z buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4) 2022-11-23T01:37:54.6477137Z assert_size_stride(buf1, (1, 128, 53, 53, 53), (19056256, 148877, 2809, 53, 1)) 2022-11-23T01:37:54.6477205Z del arg0_1 2022-11-23T01:37:54.6477269Z del arg1_1 2022-11-23T01:37:54.6477327Z return (buf1, ) 2022-11-23T01:37:54.6477341Z 2022-11-23T01:37:54.6477346Z 2022-11-23T01:37:54.6477408Z if __name__ == "__main__": 2022-11-23T01:37:54.6477523Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6477642Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6477865Z arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6478062Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6478260Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6478454Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6478634Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6478822Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6479001Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6479238Z arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6479395Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6479776Z [2022-11-23 01:31:02,990] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/p4/cp4g25fghpn4dtrtfqpsdvciz44gr2yoiynbavqtc4lozex4vxde.py 2022-11-23T01:37:54.6480098Z [2022-11-23 01:31:02,990] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 123 2022-11-23T01:37:54.6480340Z [2022-11-23 01:31:04,148] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6480610Z [2022-11-23 01:31:04,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6480820Z [2022-11-23 01:31:04,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6481071Z [2022-11-23 01:31:04,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6481389Z [2022-11-23 01:31:04,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6481711Z [2022-11-23 01:31:04,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6481967Z [2022-11-23 01:31:04,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6482209Z [2022-11-23 01:31:04,164] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6482468Z [2022-11-23 01:31:04,165] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6482718Z [2022-11-23 01:31:04,228] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6482911Z [2022-11-23 01:31:04,228] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6483045Z __compiled_fn_125 .1109 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6483125Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6483223Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6483320Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6483326Z 2022-11-23T01:37:54.6483606Z [2022-11-23 01:31:04,229] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6483696Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6483785Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6483876Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6483954Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6484029Z 8 RETURN_VALUE 2022-11-23T01:37:54.6484034Z 2022-11-23T01:37:54.6484093Z 2022-11-23T01:37:54.6484369Z [2022-11-23 01:31:04,229] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6484478Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_125) 2022-11-23T01:37:54.6484567Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6484654Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6484732Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6484807Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6484897Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6484970Z 12 RETURN_VALUE 2022-11-23T01:37:54.6484974Z 2022-11-23T01:37:54.6485031Z 2022-11-23T01:37:54.6485217Z [2022-11-23 01:31:04,230] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6485287Z - 2022-11-23T01:37:54.6485407Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6485459Z { 2022-11-23T01:37:54.6485600Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6485787Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6485907Z 'obj_weakref': None 2022-11-23T01:37:54.6486131Z 'guarded_class': 2022-11-23T01:37:54.6486195Z } 2022-11-23T01:37:54.6486256Z 2022-11-23T01:37:54.6486314Z - 2022-11-23T01:37:54.6486439Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6486500Z { 2022-11-23T01:37:54.6486682Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6486794Z 'code': None, 2022-11-23T01:37:54.6487012Z 'obj_weakref': 2022-11-23T01:37:54.6487268Z 'guarded_class': 2022-11-23T01:37:54.6487319Z } 2022-11-23T01:37:54.6487380Z 2022-11-23T01:37:54.6487448Z - 2022-11-23T01:37:54.6487568Z local 'model' NN_MODULE 2022-11-23T01:37:54.6487631Z { 2022-11-23T01:37:54.6487798Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6487969Z 'code': ['___check_obj_id(model, 140538913788304)'], 2022-11-23T01:37:54.6488179Z 'obj_weakref': 2022-11-23T01:37:54.6488420Z 'guarded_class': 2022-11-23T01:37:54.6488485Z } 2022-11-23T01:37:54.6488546Z 2022-11-23T01:37:54.6488615Z - 2022-11-23T01:37:54.6488736Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6488798Z { 2022-11-23T01:37:54.6488924Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6489146Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6489268Z 'obj_weakref': None 2022-11-23T01:37:54.6489489Z 'guarded_class': 2022-11-23T01:37:54.6489556Z } 2022-11-23T01:37:54.6489615Z 2022-11-23T01:37:54.6489684Z - 2022-11-23T01:37:54.6489819Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6489880Z { 2022-11-23T01:37:54.6490000Z 'guard_types': None, 2022-11-23T01:37:54.6490110Z 'code': None, 2022-11-23T01:37:54.6490230Z 'obj_weakref': None 2022-11-23T01:37:54.6490358Z 'guarded_class': None 2022-11-23T01:37:54.6490420Z } 2022-11-23T01:37:54.6490470Z 2022-11-23T01:37:54.6490539Z - 2022-11-23T01:37:54.6490685Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6490746Z { 2022-11-23T01:37:54.6490866Z 'guard_types': None, 2022-11-23T01:37:54.6490972Z 'code': None, 2022-11-23T01:37:54.6491089Z 'obj_weakref': None 2022-11-23T01:37:54.6491199Z 'guarded_class': None 2022-11-23T01:37:54.6491262Z } 2022-11-23T01:37:54.6491324Z 2022-11-23T01:37:54.6491589Z [2022-11-23 01:31:04,240] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 124 2022-11-23T01:37:54.6491958Z [2022-11-23 01:31:04,246] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2d/c2dny33z2ywgm7ehimowpu726zvfz73i6tpu5kcqgyvqvi33v4ip.py 2022-11-23T01:37:54.6492224Z [2022-11-23 01:31:04,246] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 124 2022-11-23T01:37:54.6492461Z [2022-11-23 01:31:04,548] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6492731Z [2022-11-23 01:31:04,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6492937Z [2022-11-23 01:31:04,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6493180Z [2022-11-23 01:31:04,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6493461Z [2022-11-23 01:31:04,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6493779Z [2022-11-23 01:31:04,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6494057Z [2022-11-23 01:31:04,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6494295Z [2022-11-23 01:31:04,564] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6494551Z [2022-11-23 01:31:04,565] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6494804Z [2022-11-23 01:31:04,628] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6494996Z [2022-11-23 01:31:04,628] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6495149Z __compiled_fn_126 .1120 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6495237Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6495335Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6495432Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6495437Z 2022-11-23T01:37:54.6495719Z [2022-11-23 01:31:04,629] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6495810Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6495899Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6495990Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6496067Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6496140Z 8 RETURN_VALUE 2022-11-23T01:37:54.6496145Z 2022-11-23T01:37:54.6496206Z 2022-11-23T01:37:54.6496480Z [2022-11-23 01:31:04,629] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6496590Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_126) 2022-11-23T01:37:54.6496678Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6496767Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6496831Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6496916Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6497005Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6497077Z 12 RETURN_VALUE 2022-11-23T01:37:54.6497081Z 2022-11-23T01:37:54.6497140Z 2022-11-23T01:37:54.6497322Z [2022-11-23 01:31:04,630] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6497395Z - 2022-11-23T01:37:54.6497514Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6497565Z { 2022-11-23T01:37:54.6497707Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6497897Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6498021Z 'obj_weakref': None 2022-11-23T01:37:54.6498245Z 'guarded_class': 2022-11-23T01:37:54.6498308Z } 2022-11-23T01:37:54.6498369Z 2022-11-23T01:37:54.6498427Z - 2022-11-23T01:37:54.6498554Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6498617Z { 2022-11-23T01:37:54.6498982Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6499143Z 'code': None, 2022-11-23T01:37:54.6499367Z 'obj_weakref': 2022-11-23T01:37:54.6499623Z 'guarded_class': 2022-11-23T01:37:54.6499675Z } 2022-11-23T01:37:54.6499737Z 2022-11-23T01:37:54.6499812Z - 2022-11-23T01:37:54.6499939Z local 'model' NN_MODULE 2022-11-23T01:37:54.6500002Z { 2022-11-23T01:37:54.6500138Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6500297Z 'code': ['___check_obj_id(model, 140538913788304)'], 2022-11-23T01:37:54.6500519Z 'obj_weakref': 2022-11-23T01:37:54.6500813Z 'guarded_class': 2022-11-23T01:37:54.6500880Z } 2022-11-23T01:37:54.6500943Z 2022-11-23T01:37:54.6501015Z - 2022-11-23T01:37:54.6501139Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6501202Z { 2022-11-23T01:37:54.6501328Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6501548Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6501670Z 'obj_weakref': None 2022-11-23T01:37:54.6501939Z 'guarded_class': 2022-11-23T01:37:54.6502002Z } 2022-11-23T01:37:54.6502063Z 2022-11-23T01:37:54.6502132Z - 2022-11-23T01:37:54.6502267Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6502330Z { 2022-11-23T01:37:54.6502453Z 'guard_types': None, 2022-11-23T01:37:54.6502564Z 'code': None, 2022-11-23T01:37:54.6502680Z 'obj_weakref': None 2022-11-23T01:37:54.6502803Z 'guarded_class': None 2022-11-23T01:37:54.6502855Z } 2022-11-23T01:37:54.6502914Z 2022-11-23T01:37:54.6502983Z - 2022-11-23T01:37:54.6503130Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6503193Z { 2022-11-23T01:37:54.6503314Z 'guard_types': None, 2022-11-23T01:37:54.6503421Z 'code': None, 2022-11-23T01:37:54.6503527Z 'obj_weakref': None 2022-11-23T01:37:54.6503650Z 'guarded_class': None 2022-11-23T01:37:54.6503714Z } 2022-11-23T01:37:54.6503775Z 2022-11-23T01:37:54.6504036Z [2022-11-23 01:31:04,640] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 125 2022-11-23T01:37:54.6504414Z [2022-11-23 01:31:04,652] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fw/cfwu7ivod6ajkweuaigt6jmrkkdcdek2gx2wzfgmahbka5hj5tqa.py 2022-11-23T01:37:54.6504686Z [2022-11-23 01:31:04,652] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 125 2022-11-23T01:37:54.6504929Z [2022-11-23 01:31:05,111] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6505188Z [2022-11-23 01:31:05,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6505412Z [2022-11-23 01:31:05,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6505664Z [2022-11-23 01:31:05,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6505945Z [2022-11-23 01:31:05,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6506265Z [2022-11-23 01:31:05,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6506518Z [2022-11-23 01:31:05,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6506762Z [2022-11-23 01:31:05,127] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6507019Z [2022-11-23 01:31:05,128] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6507275Z [2022-11-23 01:31:05,302] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6507456Z [2022-11-23 01:31:05,303] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6507594Z __compiled_fn_127 .1131 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6507683Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6507783Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6507915Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6507922Z 2022-11-23T01:37:54.6508297Z [2022-11-23 01:31:05,303] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6508396Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6508488Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6508569Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6508659Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6508735Z 8 RETURN_VALUE 2022-11-23T01:37:54.6508740Z 2022-11-23T01:37:54.6508837Z 2022-11-23T01:37:54.6509118Z [2022-11-23 01:31:05,303] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6509228Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_127) 2022-11-23T01:37:54.6509318Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6509407Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6509474Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6509562Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6509652Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6509728Z 12 RETURN_VALUE 2022-11-23T01:37:54.6509733Z 2022-11-23T01:37:54.6509794Z 2022-11-23T01:37:54.6509981Z [2022-11-23 01:31:05,304] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6510053Z - 2022-11-23T01:37:54.6510162Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6510226Z { 2022-11-23T01:37:54.6510371Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6510565Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6510689Z 'obj_weakref': None 2022-11-23T01:37:54.6510915Z 'guarded_class': 2022-11-23T01:37:54.6510980Z } 2022-11-23T01:37:54.6511033Z 2022-11-23T01:37:54.6511102Z - 2022-11-23T01:37:54.6511229Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6511293Z { 2022-11-23T01:37:54.6511440Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6511550Z 'code': None, 2022-11-23T01:37:54.6511770Z 'obj_weakref': 2022-11-23T01:37:54.6512015Z 'guarded_class': 2022-11-23T01:37:54.6512081Z } 2022-11-23T01:37:54.6512151Z 2022-11-23T01:37:54.6512226Z - 2022-11-23T01:37:54.6512348Z local 'model' NN_MODULE 2022-11-23T01:37:54.6512413Z { 2022-11-23T01:37:54.6512545Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6512704Z 'code': ['___check_obj_id(model, 140539204484944)'], 2022-11-23T01:37:54.6512928Z 'obj_weakref': 2022-11-23T01:37:54.6513165Z 'guarded_class': 2022-11-23T01:37:54.6513227Z } 2022-11-23T01:37:54.6513291Z 2022-11-23T01:37:54.6513359Z - 2022-11-23T01:37:54.6513481Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6513530Z { 2022-11-23T01:37:54.6513665Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6513887Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6514010Z 'obj_weakref': None 2022-11-23T01:37:54.6514231Z 'guarded_class': 2022-11-23T01:37:54.6514293Z } 2022-11-23T01:37:54.6514355Z 2022-11-23T01:37:54.6514412Z - 2022-11-23T01:37:54.6514560Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6514650Z { 2022-11-23T01:37:54.6514773Z 'guard_types': None, 2022-11-23T01:37:54.6514881Z 'code': None, 2022-11-23T01:37:54.6515001Z 'obj_weakref': None 2022-11-23T01:37:54.6515123Z 'guarded_class': None 2022-11-23T01:37:54.6515173Z } 2022-11-23T01:37:54.6515234Z 2022-11-23T01:37:54.6515305Z - 2022-11-23T01:37:54.6515451Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6515512Z { 2022-11-23T01:37:54.6515633Z 'guard_types': None, 2022-11-23T01:37:54.6515738Z 'code': None, 2022-11-23T01:37:54.6515890Z 'obj_weakref': None 2022-11-23T01:37:54.6516013Z 'guarded_class': None 2022-11-23T01:37:54.6516075Z } 2022-11-23T01:37:54.6516135Z 2022-11-23T01:37:54.6516398Z [2022-11-23 01:31:05,314] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 126 2022-11-23T01:37:54.6516772Z [2022-11-23 01:31:05,320] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tq/ctqzpig3sjl3xvzyap6wdlrf42a7khowpaaq37r5xtpqtzayznvq.py 2022-11-23T01:37:54.6517040Z [2022-11-23 01:31:05,320] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 126 2022-11-23T01:37:54.6517269Z [2022-11-23 01:31:06,499] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6517538Z [2022-11-23 01:31:06,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6517758Z [2022-11-23 01:31:06,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6518010Z [2022-11-23 01:31:06,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6518287Z [2022-11-23 01:31:06,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6518609Z [2022-11-23 01:31:06,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6518861Z [2022-11-23 01:31:06,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6519101Z [2022-11-23 01:31:06,516] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6519357Z [2022-11-23 01:31:06,517] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6519605Z [2022-11-23 01:31:06,697] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6519787Z [2022-11-23 01:31:06,697] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6519923Z __compiled_fn_128 .1142 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6520013Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6520112Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6520208Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6520213Z 2022-11-23T01:37:54.6520491Z [2022-11-23 01:31:06,697] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6520582Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6520671Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6520752Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6520839Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6520913Z 8 RETURN_VALUE 2022-11-23T01:37:54.6520921Z 2022-11-23T01:37:54.6520982Z 2022-11-23T01:37:54.6521258Z [2022-11-23 01:31:06,697] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6521366Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_128) 2022-11-23T01:37:54.6521454Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6521559Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6521634Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6521720Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6521810Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6521883Z 12 RETURN_VALUE 2022-11-23T01:37:54.6521889Z 2022-11-23T01:37:54.6521948Z 2022-11-23T01:37:54.6522133Z [2022-11-23 01:31:06,698] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6522204Z - 2022-11-23T01:37:54.6522312Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6522413Z { 2022-11-23T01:37:54.6522554Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6522744Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6522864Z 'obj_weakref': None 2022-11-23T01:37:54.6523092Z 'guarded_class': 2022-11-23T01:37:54.6523156Z } 2022-11-23T01:37:54.6523206Z 2022-11-23T01:37:54.6523275Z - 2022-11-23T01:37:54.6523403Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6523464Z { 2022-11-23T01:37:54.6523607Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6523717Z 'code': None, 2022-11-23T01:37:54.6523918Z 'obj_weakref': 2022-11-23T01:37:54.6524173Z 'guarded_class': 2022-11-23T01:37:54.6524238Z } 2022-11-23T01:37:54.6524300Z 2022-11-23T01:37:54.6524368Z - 2022-11-23T01:37:54.6524490Z local 'model' NN_MODULE 2022-11-23T01:37:54.6524552Z { 2022-11-23T01:37:54.6524673Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6524843Z 'code': ['___check_obj_id(model, 140539204484944)'], 2022-11-23T01:37:54.6525070Z 'obj_weakref': 2022-11-23T01:37:54.6525308Z 'guarded_class': 2022-11-23T01:37:54.6525371Z } 2022-11-23T01:37:54.6525433Z 2022-11-23T01:37:54.6525503Z - 2022-11-23T01:37:54.6525624Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6525676Z { 2022-11-23T01:37:54.6525812Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6526030Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6526154Z 'obj_weakref': None 2022-11-23T01:37:54.6526377Z 'guarded_class': 2022-11-23T01:37:54.6526439Z } 2022-11-23T01:37:54.6526499Z 2022-11-23T01:37:54.6526556Z - 2022-11-23T01:37:54.6526702Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6526766Z { 2022-11-23T01:37:54.6526885Z 'guard_types': None, 2022-11-23T01:37:54.6526990Z 'code': None, 2022-11-23T01:37:54.6527108Z 'obj_weakref': None 2022-11-23T01:37:54.6527220Z 'guarded_class': None 2022-11-23T01:37:54.6527282Z } 2022-11-23T01:37:54.6527343Z 2022-11-23T01:37:54.6527416Z - 2022-11-23T01:37:54.6527562Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6527622Z { 2022-11-23T01:37:54.6527741Z 'guard_types': None, 2022-11-23T01:37:54.6527840Z 'code': None, 2022-11-23T01:37:54.6527956Z 'obj_weakref': None 2022-11-23T01:37:54.6528077Z 'guarded_class': None 2022-11-23T01:37:54.6528139Z } 2022-11-23T01:37:54.6528199Z 2022-11-23T01:37:54.6528491Z [2022-11-23 01:31:06,708] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 127 2022-11-23T01:37:54.6528860Z [2022-11-23 01:31:06,721] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/66/c66q6ydwv2sumfz2kr7cgham6vqogra2wq63mmt6ajxuxonmqhc7.py 2022-11-23T01:37:54.6529125Z [2022-11-23 01:31:06,721] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 127 2022-11-23T01:37:54.6529352Z [2022-11-23 01:31:07,700] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6529623Z [2022-11-23 01:31:07,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6529885Z [2022-11-23 01:31:07,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6530130Z [2022-11-23 01:31:07,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6530411Z [2022-11-23 01:31:07,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6530729Z [2022-11-23 01:31:07,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6530975Z [2022-11-23 01:31:07,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6531210Z [2022-11-23 01:31:07,715] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6531463Z [2022-11-23 01:31:07,716] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6531705Z [2022-11-23 01:31:07,741] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6531895Z [2022-11-23 01:31:07,741] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6532029Z __compiled_fn_129 .1153 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6532119Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6532216Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6532313Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6532318Z 2022-11-23T01:37:54.6532599Z [2022-11-23 01:31:07,742] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6532693Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6532771Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6532861Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6532950Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6533027Z 8 RETURN_VALUE 2022-11-23T01:37:54.6533032Z 2022-11-23T01:37:54.6533092Z 2022-11-23T01:37:54.6533367Z [2022-11-23 01:31:07,742] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6533475Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_129) 2022-11-23T01:37:54.6533569Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6533648Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6533722Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6533808Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6533896Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6533970Z 12 RETURN_VALUE 2022-11-23T01:37:54.6533975Z 2022-11-23T01:37:54.6534032Z 2022-11-23T01:37:54.6534218Z [2022-11-23 01:31:07,743] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6534277Z - 2022-11-23T01:37:54.6534399Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6534465Z { 2022-11-23T01:37:54.6534608Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6534796Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6534919Z 'obj_weakref': None 2022-11-23T01:37:54.6535176Z 'guarded_class': 2022-11-23T01:37:54.6535229Z } 2022-11-23T01:37:54.6535290Z 2022-11-23T01:37:54.6535359Z - 2022-11-23T01:37:54.6535484Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6535547Z { 2022-11-23T01:37:54.6535693Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6535800Z 'code': None, 2022-11-23T01:37:54.6536003Z 'obj_weakref': 2022-11-23T01:37:54.6536256Z 'guarded_class': 2022-11-23T01:37:54.6536351Z } 2022-11-23T01:37:54.6536414Z 2022-11-23T01:37:54.6536483Z - 2022-11-23T01:37:54.6536604Z local 'model' NN_MODULE 2022-11-23T01:37:54.6536667Z { 2022-11-23T01:37:54.6536790Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6536963Z 'code': ['___check_obj_id(model, 140538746750288)'], 2022-11-23T01:37:54.6537188Z 'obj_weakref': 2022-11-23T01:37:54.6537425Z 'guarded_class': 2022-11-23T01:37:54.6537487Z } 2022-11-23T01:37:54.6537547Z 2022-11-23T01:37:54.6537618Z - 2022-11-23T01:37:54.6537731Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6537793Z { 2022-11-23T01:37:54.6537929Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6538152Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6538273Z 'obj_weakref': None 2022-11-23T01:37:54.6538496Z 'guarded_class': 2022-11-23T01:37:54.6538558Z } 2022-11-23T01:37:54.6538609Z 2022-11-23T01:37:54.6538677Z - 2022-11-23T01:37:54.6539019Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6539103Z { 2022-11-23T01:37:54.6539234Z 'guard_types': None, 2022-11-23T01:37:54.6539344Z 'code': None, 2022-11-23T01:37:54.6539464Z 'obj_weakref': None 2022-11-23T01:37:54.6539574Z 'guarded_class': None 2022-11-23T01:37:54.6539636Z } 2022-11-23T01:37:54.6539697Z 2022-11-23T01:37:54.6539766Z - 2022-11-23T01:37:54.6539912Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6539977Z { 2022-11-23T01:37:54.6540098Z 'guard_types': None, 2022-11-23T01:37:54.6540193Z 'code': None, 2022-11-23T01:37:54.6540313Z 'obj_weakref': None 2022-11-23T01:37:54.6540437Z 'guarded_class': None 2022-11-23T01:37:54.6540498Z } 2022-11-23T01:37:54.6540559Z 2022-11-23T01:37:54.6540822Z [2022-11-23 01:31:07,752] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 128 2022-11-23T01:37:54.6540828Z 2022-11-23T01:37:54.6540832Z 2022-11-23T01:37:54.6540925Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6540980Z import torch 2022-11-23T01:37:54.6541046Z import random 2022-11-23T01:37:54.6541160Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6541280Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6541285Z 2022-11-23T01:37:54.6541362Z aten = torch.ops.aten 2022-11-23T01:37:54.6541495Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6541586Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6541591Z 2022-11-23T01:37:54.6541595Z 2022-11-23T01:37:54.6541680Z async_compile.wait(globals()) 2022-11-23T01:37:54.6541738Z del async_compile 2022-11-23T01:37:54.6541743Z 2022-11-23T01:37:54.6541810Z def call(args): 2022-11-23T01:37:54.6541988Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6542063Z args.clear() 2022-11-23T01:37:54.6542203Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1) 2022-11-23T01:37:54.6542321Z assert_size_stride(buf0, (1, 32, 51, 51, 51), (4244832, 132651, 2601, 51, 1)) 2022-11-23T01:37:54.6542390Z del arg0_1 2022-11-23T01:37:54.6542443Z del arg1_1 2022-11-23T01:37:54.6542507Z del arg7_1 2022-11-23T01:37:54.6542578Z return (buf0, ) 2022-11-23T01:37:54.6542583Z 2022-11-23T01:37:54.6542587Z 2022-11-23T01:37:54.6542661Z if __name__ == "__main__": 2022-11-23T01:37:54.6542812Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6542937Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6543165Z arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6543365Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6543547Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6543737Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6543927Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6544117Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6544299Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6544538Z arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6544698Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6544703Z 2022-11-23T01:37:54.6544708Z 2022-11-23T01:37:54.6544803Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6544874Z import torch 2022-11-23T01:37:54.6544931Z import random 2022-11-23T01:37:54.6545048Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6545171Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6545176Z 2022-11-23T01:37:54.6545254Z aten = torch.ops.aten 2022-11-23T01:37:54.6545388Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6545480Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6545485Z 2022-11-23T01:37:54.6545489Z 2022-11-23T01:37:54.6545627Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.6545834Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.6545945Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.6546045Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.6546106Z { 2022-11-23T01:37:54.6546183Z #pragma GCC ivdep 2022-11-23T01:37:54.6546264Z for(long i0=0; i0<3; i0+=1) 2022-11-23T01:37:54.6546326Z { 2022-11-23T01:37:54.6546393Z #pragma GCC ivdep 2022-11-23T01:37:54.6546485Z for(long i1=0; i1<166375; i1+=1) 2022-11-23T01:37:54.6546550Z { 2022-11-23T01:37:54.6546614Z { 2022-11-23T01:37:54.6546679Z { 2022-11-23T01:37:54.6546779Z auto tmp0 = in_ptr0[i0 + (3*i1)]; 2022-11-23T01:37:54.6546878Z out_ptr0[i1 + (166375*i0)] = tmp0; 2022-11-23T01:37:54.6546932Z } 2022-11-23T01:37:54.6546994Z } 2022-11-23T01:37:54.6547057Z } 2022-11-23T01:37:54.6547116Z } 2022-11-23T01:37:54.6547177Z } 2022-11-23T01:37:54.6547258Z ''') 2022-11-23T01:37:54.6547266Z 2022-11-23T01:37:54.6547270Z 2022-11-23T01:37:54.6547361Z async_compile.wait(globals()) 2022-11-23T01:37:54.6547420Z del async_compile 2022-11-23T01:37:54.6547438Z 2022-11-23T01:37:54.6547496Z def call(args): 2022-11-23T01:37:54.6547616Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6547688Z args.clear() 2022-11-23T01:37:54.6547957Z buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6548156Z kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.6548239Z del arg7_1 2022-11-23T01:37:54.6548383Z buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1) 2022-11-23T01:37:54.6548486Z assert_size_stride(buf1, (1, 32, 51, 51, 51), (4244832, 132651, 2601, 51, 1)) 2022-11-23T01:37:54.6548553Z del arg0_1 2022-11-23T01:37:54.6548621Z del arg1_1 2022-11-23T01:37:54.6548692Z return (buf1, ) 2022-11-23T01:37:54.6548729Z 2022-11-23T01:37:54.6548733Z 2022-11-23T01:37:54.6548812Z if __name__ == "__main__": 2022-11-23T01:37:54.6548925Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6549048Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6549277Z arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6549462Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6549656Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6549851Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6550042Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6550232Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6550416Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6550651Z arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6550806Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6550812Z 2022-11-23T01:37:54.6550816Z 2022-11-23T01:37:54.6550900Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6550972Z import torch 2022-11-23T01:37:54.6551044Z import random 2022-11-23T01:37:54.6551159Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6551278Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6551283Z 2022-11-23T01:37:54.6551358Z aten = torch.ops.aten 2022-11-23T01:37:54.6551521Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6551664Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6551672Z 2022-11-23T01:37:54.6551678Z 2022-11-23T01:37:54.6551804Z async_compile.wait(globals()) 2022-11-23T01:37:54.6551890Z del async_compile 2022-11-23T01:37:54.6551895Z 2022-11-23T01:37:54.6551966Z def call(args): 2022-11-23T01:37:54.6552084Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6552155Z args.clear() 2022-11-23T01:37:54.6552293Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4) 2022-11-23T01:37:54.6552411Z assert_size_stride(buf0, (1, 128, 51, 51, 51), (16979328, 132651, 2601, 51, 1)) 2022-11-23T01:37:54.6552477Z del arg0_1 2022-11-23T01:37:54.6552530Z del arg1_1 2022-11-23T01:37:54.6552594Z del arg7_1 2022-11-23T01:37:54.6552667Z return (buf0, ) 2022-11-23T01:37:54.6552671Z 2022-11-23T01:37:54.6552675Z 2022-11-23T01:37:54.6552749Z if __name__ == "__main__": 2022-11-23T01:37:54.6552860Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6552979Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6553208Z arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6553394Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6553591Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6553781Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6554008Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6554204Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6554385Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6554628Z arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6554785Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6554791Z 2022-11-23T01:37:54.6554826Z 2022-11-23T01:37:54.6554923Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6554980Z import torch 2022-11-23T01:37:54.6555048Z import random 2022-11-23T01:37:54.6555159Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6555274Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6555279Z 2022-11-23T01:37:54.6555355Z aten = torch.ops.aten 2022-11-23T01:37:54.6555488Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6555578Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6555583Z 2022-11-23T01:37:54.6555587Z 2022-11-23T01:37:54.6555723Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.6555918Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.6556040Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.6556138Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.6556199Z { 2022-11-23T01:37:54.6556276Z #pragma GCC ivdep 2022-11-23T01:37:54.6556357Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:37:54.6556417Z { 2022-11-23T01:37:54.6556483Z #pragma GCC ivdep 2022-11-23T01:37:54.6556569Z for(long i1=0; i1<166375; i1+=1) 2022-11-23T01:37:54.6556633Z { 2022-11-23T01:37:54.6556695Z { 2022-11-23T01:37:54.6556757Z { 2022-11-23T01:37:54.6556860Z auto tmp0 = in_ptr0[i0 + (12*i1)]; 2022-11-23T01:37:54.6556958Z out_ptr0[i1 + (166375*i0)] = tmp0; 2022-11-23T01:37:54.6557008Z } 2022-11-23T01:37:54.6557069Z } 2022-11-23T01:37:54.6557132Z } 2022-11-23T01:37:54.6557191Z } 2022-11-23T01:37:54.6557250Z } 2022-11-23T01:37:54.6557328Z ''') 2022-11-23T01:37:54.6557333Z 2022-11-23T01:37:54.6557337Z 2022-11-23T01:37:54.6557425Z async_compile.wait(globals()) 2022-11-23T01:37:54.6557484Z del async_compile 2022-11-23T01:37:54.6557489Z 2022-11-23T01:37:54.6557556Z def call(args): 2022-11-23T01:37:54.6557675Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6557744Z args.clear() 2022-11-23T01:37:54.6557989Z buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6558122Z kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.6558190Z del arg7_1 2022-11-23T01:37:54.6558320Z buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4) 2022-11-23T01:37:54.6558435Z assert_size_stride(buf1, (1, 128, 51, 51, 51), (16979328, 132651, 2601, 51, 1)) 2022-11-23T01:37:54.6558502Z del arg0_1 2022-11-23T01:37:54.6558568Z del arg1_1 2022-11-23T01:37:54.6558638Z return (buf1, ) 2022-11-23T01:37:54.6558643Z 2022-11-23T01:37:54.6558647Z 2022-11-23T01:37:54.6558718Z if __name__ == "__main__": 2022-11-23T01:37:54.6558831Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6558954Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6559164Z arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6559359Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6559584Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6559777Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6559972Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6560163Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6560344Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6560577Z arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6560721Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6560788Z 2022-11-23T01:37:54.6560793Z 2022-11-23T01:37:54.6560877Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6560947Z import torch 2022-11-23T01:37:54.6561012Z import random 2022-11-23T01:37:54.6561125Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6561245Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6561250Z 2022-11-23T01:37:54.6561329Z aten = torch.ops.aten 2022-11-23T01:37:54.6561461Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6561539Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6561543Z 2022-11-23T01:37:54.6561558Z 2022-11-23T01:37:54.6561631Z async_compile.wait(globals()) 2022-11-23T01:37:54.6561702Z del async_compile 2022-11-23T01:37:54.6561707Z 2022-11-23T01:37:54.6561776Z def call(args): 2022-11-23T01:37:54.6561893Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6561966Z args.clear() 2022-11-23T01:37:54.6562106Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1) 2022-11-23T01:37:54.6562243Z assert_size_stride(buf0, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1)) 2022-11-23T01:37:54.6562341Z del arg0_1 2022-11-23T01:37:54.6562448Z del arg1_1 2022-11-23T01:37:54.6562559Z del arg7_1 2022-11-23T01:37:54.6562663Z return (buf0, ) 2022-11-23T01:37:54.6562670Z 2022-11-23T01:37:54.6562674Z 2022-11-23T01:37:54.6562756Z if __name__ == "__main__": 2022-11-23T01:37:54.6562868Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6562988Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6563198Z arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6563397Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6563589Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6563784Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6563972Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6564157Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6564341Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6564580Z arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6564735Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6565109Z [2022-11-23 01:31:07,757] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gh/cgh3iyyxa3iigurde7dsrbh6zfffru6hndv4r4lpimbdqdceqb75.py 2022-11-23T01:37:54.6565378Z [2022-11-23 01:31:07,757] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 128 2022-11-23T01:37:54.6565619Z [2022-11-23 01:31:08,031] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6565890Z [2022-11-23 01:31:08,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6566148Z [2022-11-23 01:31:08,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6566393Z [2022-11-23 01:31:08,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6566672Z [2022-11-23 01:31:08,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6566986Z [2022-11-23 01:31:08,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6567236Z [2022-11-23 01:31:08,046] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6567491Z [2022-11-23 01:31:08,046] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6567747Z [2022-11-23 01:31:08,047] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6568000Z [2022-11-23 01:31:08,071] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6568191Z [2022-11-23 01:31:08,072] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6568325Z __compiled_fn_130 .1164 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6568414Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6568511Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6568611Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6568616Z 2022-11-23T01:37:54.6568895Z [2022-11-23 01:31:08,072] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6568980Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6569069Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6569161Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6569250Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6569326Z 8 RETURN_VALUE 2022-11-23T01:37:54.6569333Z 2022-11-23T01:37:54.6569395Z 2022-11-23T01:37:54.6569669Z [2022-11-23 01:31:08,072] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6569766Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_130) 2022-11-23T01:37:54.6569854Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6569940Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6570016Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6570103Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6570191Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6570268Z 12 RETURN_VALUE 2022-11-23T01:37:54.6570273Z 2022-11-23T01:37:54.6570329Z 2022-11-23T01:37:54.6570500Z [2022-11-23 01:31:08,073] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6570569Z - 2022-11-23T01:37:54.6570689Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6570752Z { 2022-11-23T01:37:54.6570894Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6571083Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6571204Z 'obj_weakref': None 2022-11-23T01:37:54.6571416Z 'guarded_class': 2022-11-23T01:37:54.6571479Z } 2022-11-23T01:37:54.6571540Z 2022-11-23T01:37:54.6571610Z - 2022-11-23T01:37:54.6571735Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6571796Z { 2022-11-23T01:37:54.6571931Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6572039Z 'code': None, 2022-11-23T01:37:54.6572254Z 'obj_weakref': 2022-11-23T01:37:54.6572510Z 'guarded_class': 2022-11-23T01:37:54.6572609Z } 2022-11-23T01:37:54.6572672Z 2022-11-23T01:37:54.6572742Z - 2022-11-23T01:37:54.6572863Z local 'model' NN_MODULE 2022-11-23T01:37:54.6572915Z { 2022-11-23T01:37:54.6573049Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6573220Z 'code': ['___check_obj_id(model, 140538746750288)'], 2022-11-23T01:37:54.6573445Z 'obj_weakref': 2022-11-23T01:37:54.6573682Z 'guarded_class': 2022-11-23T01:37:54.6573777Z } 2022-11-23T01:37:54.6573840Z 2022-11-23T01:37:54.6573901Z - 2022-11-23T01:37:54.6574024Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6574086Z { 2022-11-23T01:37:54.6574224Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6574446Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6574565Z 'obj_weakref': None 2022-11-23T01:37:54.6574788Z 'guarded_class': 2022-11-23T01:37:54.6574838Z } 2022-11-23T01:37:54.6574899Z 2022-11-23T01:37:54.6574969Z - 2022-11-23T01:37:54.6575117Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6575180Z { 2022-11-23T01:37:54.6575301Z 'guard_types': None, 2022-11-23T01:37:54.6575408Z 'code': None, 2022-11-23T01:37:54.6575515Z 'obj_weakref': None 2022-11-23T01:37:54.6575639Z 'guarded_class': None 2022-11-23T01:37:54.6575700Z } 2022-11-23T01:37:54.6575763Z 2022-11-23T01:37:54.6575832Z - 2022-11-23T01:37:54.6575977Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6576028Z { 2022-11-23T01:37:54.6576148Z 'guard_types': None, 2022-11-23T01:37:54.6576258Z 'code': None, 2022-11-23T01:37:54.6576376Z 'obj_weakref': None 2022-11-23T01:37:54.6576495Z 'guarded_class': None 2022-11-23T01:37:54.6576559Z } 2022-11-23T01:37:54.6576624Z 2022-11-23T01:37:54.6576873Z [2022-11-23 01:31:08,083] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 129 2022-11-23T01:37:54.6577248Z [2022-11-23 01:31:08,094] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/od/codnzteqxhl4vgdpqd4lwraivzxq54uae5q2mvyyrzyv27wxp57l.py 2022-11-23T01:37:54.6577518Z [2022-11-23 01:31:08,094] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 129 2022-11-23T01:37:54.6577756Z [2022-11-23 01:31:08,477] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6578028Z [2022-11-23 01:31:08,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6578248Z [2022-11-23 01:31:08,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6578492Z [2022-11-23 01:31:08,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6578924Z [2022-11-23 01:31:08,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6579304Z [2022-11-23 01:31:08,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6579561Z [2022-11-23 01:31:08,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6579784Z [2022-11-23 01:31:08,492] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6580038Z [2022-11-23 01:31:08,493] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6580353Z [2022-11-23 01:31:08,572] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6580549Z [2022-11-23 01:31:08,572] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6580683Z __compiled_fn_131 .1175 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6580772Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6580872Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6580970Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6580976Z 2022-11-23T01:37:54.6581243Z [2022-11-23 01:31:08,573] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6581405Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6581494Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6581584Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6581675Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6581750Z 8 RETURN_VALUE 2022-11-23T01:37:54.6581755Z 2022-11-23T01:37:54.6581815Z 2022-11-23T01:37:54.6582092Z [2022-11-23 01:31:08,573] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6582190Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_131) 2022-11-23T01:37:54.6582281Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6582369Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6582445Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6582533Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6582630Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6582704Z 12 RETURN_VALUE 2022-11-23T01:37:54.6582709Z 2022-11-23T01:37:54.6582755Z 2022-11-23T01:37:54.6582940Z [2022-11-23 01:31:08,574] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6583011Z - 2022-11-23T01:37:54.6583137Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6583204Z { 2022-11-23T01:37:54.6583349Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6583542Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6583653Z 'obj_weakref': None 2022-11-23T01:37:54.6583876Z 'guarded_class': 2022-11-23T01:37:54.6583941Z } 2022-11-23T01:37:54.6584005Z 2022-11-23T01:37:54.6584078Z - 2022-11-23T01:37:54.6584206Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6584275Z { 2022-11-23T01:37:54.6584406Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6584514Z 'code': None, 2022-11-23T01:37:54.6584730Z 'obj_weakref': 2022-11-23T01:37:54.6584990Z 'guarded_class': 2022-11-23T01:37:54.6585054Z } 2022-11-23T01:37:54.6585118Z 2022-11-23T01:37:54.6585191Z - 2022-11-23T01:37:54.6585300Z local 'model' NN_MODULE 2022-11-23T01:37:54.6585365Z { 2022-11-23T01:37:54.6585499Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6585671Z 'code': ['___check_obj_id(model, 140539098226960)'], 2022-11-23T01:37:54.6585897Z 'obj_weakref': 2022-11-23T01:37:54.6586142Z 'guarded_class': 2022-11-23T01:37:54.6586209Z } 2022-11-23T01:37:54.6586259Z 2022-11-23T01:37:54.6586330Z - 2022-11-23T01:37:54.6586453Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6586519Z { 2022-11-23T01:37:54.6586658Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6586909Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6587034Z 'obj_weakref': None 2022-11-23T01:37:54.6587244Z 'guarded_class': 2022-11-23T01:37:54.6587309Z } 2022-11-23T01:37:54.6587372Z 2022-11-23T01:37:54.6587443Z - 2022-11-23T01:37:54.6587591Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6587656Z { 2022-11-23T01:37:54.6587782Z 'guard_types': None, 2022-11-23T01:37:54.6587908Z 'code': None, 2022-11-23T01:37:54.6588027Z 'obj_weakref': None 2022-11-23T01:37:54.6588217Z 'guarded_class': None 2022-11-23T01:37:54.6588283Z } 2022-11-23T01:37:54.6588342Z 2022-11-23T01:37:54.6588416Z - 2022-11-23T01:37:54.6588565Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6588621Z { 2022-11-23T01:37:54.6588743Z 'guard_types': None, 2022-11-23T01:37:54.6588853Z 'code': None, 2022-11-23T01:37:54.6588975Z 'obj_weakref': None 2022-11-23T01:37:54.6589098Z 'guarded_class': None 2022-11-23T01:37:54.6589161Z } 2022-11-23T01:37:54.6589210Z 2022-11-23T01:37:54.6589477Z [2022-11-23 01:31:08,584] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 130 2022-11-23T01:37:54.6589851Z [2022-11-23 01:31:08,589] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ry/cryxfqnfrvvljbyhb57zmd6c2mrrbdcvtbgtjp553v6jzx5sciq3.py 2022-11-23T01:37:54.6590122Z [2022-11-23 01:31:08,589] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 130 2022-11-23T01:37:54.6590361Z [2022-11-23 01:31:09,804] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6590634Z [2022-11-23 01:31:09,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6590856Z [2022-11-23 01:31:09,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6591103Z [2022-11-23 01:31:09,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6591384Z [2022-11-23 01:31:09,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6591704Z [2022-11-23 01:31:09,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6591945Z [2022-11-23 01:31:09,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6592185Z [2022-11-23 01:31:09,819] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6592439Z [2022-11-23 01:31:09,820] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6592691Z [2022-11-23 01:31:09,905] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6592882Z [2022-11-23 01:31:09,905] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6593015Z __compiled_fn_132 .1186 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6593104Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6593204Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6593292Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6593299Z 2022-11-23T01:37:54.6593578Z [2022-11-23 01:31:09,905] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6593675Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6593766Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6593890Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6593981Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6594055Z 8 RETURN_VALUE 2022-11-23T01:37:54.6594061Z 2022-11-23T01:37:54.6594119Z 2022-11-23T01:37:54.6594380Z [2022-11-23 01:31:09,905] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6594488Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_132) 2022-11-23T01:37:54.6594574Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6594663Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6594773Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6594861Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6594951Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6595015Z 12 RETURN_VALUE 2022-11-23T01:37:54.6595030Z 2022-11-23T01:37:54.6595077Z 2022-11-23T01:37:54.6595263Z [2022-11-23 01:31:09,906] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6595337Z - 2022-11-23T01:37:54.6595460Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6595525Z { 2022-11-23T01:37:54.6595667Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6595846Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6595967Z 'obj_weakref': None 2022-11-23T01:37:54.6596188Z 'guarded_class': 2022-11-23T01:37:54.6596254Z } 2022-11-23T01:37:54.6596317Z 2022-11-23T01:37:54.6596388Z - 2022-11-23T01:37:54.6596514Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6596565Z { 2022-11-23T01:37:54.6596705Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6596810Z 'code': None, 2022-11-23T01:37:54.6597025Z 'obj_weakref': 2022-11-23T01:37:54.6597282Z 'guarded_class': 2022-11-23T01:37:54.6597345Z } 2022-11-23T01:37:54.6597408Z 2022-11-23T01:37:54.6597476Z - 2022-11-23T01:37:54.6597584Z local 'model' NN_MODULE 2022-11-23T01:37:54.6597645Z { 2022-11-23T01:37:54.6597780Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6597951Z 'code': ['___check_obj_id(model, 140539098226960)'], 2022-11-23T01:37:54.6598175Z 'obj_weakref': 2022-11-23T01:37:54.6598415Z 'guarded_class': 2022-11-23T01:37:54.6598479Z } 2022-11-23T01:37:54.6598529Z 2022-11-23T01:37:54.6598598Z - 2022-11-23T01:37:54.6598721Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6598782Z { 2022-11-23T01:37:54.6598922Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6599140Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6599260Z 'obj_weakref': None 2022-11-23T01:37:54.6599469Z 'guarded_class': 2022-11-23T01:37:54.6599533Z } 2022-11-23T01:37:54.6599595Z 2022-11-23T01:37:54.6599664Z - 2022-11-23T01:37:54.6599810Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6599872Z { 2022-11-23T01:37:54.6599995Z 'guard_types': None, 2022-11-23T01:37:54.6600090Z 'code': None, 2022-11-23T01:37:54.6600207Z 'obj_weakref': None 2022-11-23T01:37:54.6600329Z 'guarded_class': None 2022-11-23T01:37:54.6600393Z } 2022-11-23T01:37:54.6600456Z 2022-11-23T01:37:54.6600526Z - 2022-11-23T01:37:54.6600692Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6600754Z { 2022-11-23T01:37:54.6600875Z 'guard_types': None, 2022-11-23T01:37:54.6600983Z 'code': None, 2022-11-23T01:37:54.6601100Z 'obj_weakref': None 2022-11-23T01:37:54.6601223Z 'guarded_class': None 2022-11-23T01:37:54.6601284Z } 2022-11-23T01:37:54.6601333Z 2022-11-23T01:37:54.6601594Z [2022-11-23 01:31:09,916] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 131 2022-11-23T01:37:54.6601972Z [2022-11-23 01:31:09,928] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/j3/cj3pldfbgbqfnnllg6uzqlrnjupwre3br7uqkb6bokn2wynpqxtj.py 2022-11-23T01:37:54.6602272Z [2022-11-23 01:31:09,928] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 131 2022-11-23T01:37:54.6602515Z [2022-11-23 01:31:11,039] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6602787Z [2022-11-23 01:31:11,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6603006Z [2022-11-23 01:31:11,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6603252Z [2022-11-23 01:31:11,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6603531Z [2022-11-23 01:31:11,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6603839Z [2022-11-23 01:31:11,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6604089Z [2022-11-23 01:31:11,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6604323Z [2022-11-23 01:31:11,054] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6604580Z [2022-11-23 01:31:11,055] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6604835Z [2022-11-23 01:31:11,079] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6605026Z [2022-11-23 01:31:11,079] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6605161Z __compiled_fn_133 .1197 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6605249Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6605347Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6605436Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6605442Z 2022-11-23T01:37:54.6605721Z [2022-11-23 01:31:11,080] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6605814Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6605906Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6605999Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6606088Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6606164Z 8 RETURN_VALUE 2022-11-23T01:37:54.6606169Z 2022-11-23T01:37:54.6606218Z 2022-11-23T01:37:54.6606492Z [2022-11-23 01:31:11,080] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6606600Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_133) 2022-11-23T01:37:54.6606688Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6606779Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6606854Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6606940Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6607029Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6607091Z 12 RETURN_VALUE 2022-11-23T01:37:54.6607096Z 2022-11-23T01:37:54.6607153Z 2022-11-23T01:37:54.6607371Z [2022-11-23 01:31:11,080] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6607444Z - 2022-11-23T01:37:54.6607564Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6607626Z { 2022-11-23T01:37:54.6607769Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6607945Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6608063Z 'obj_weakref': None 2022-11-23T01:37:54.6608287Z 'guarded_class': 2022-11-23T01:37:54.6608393Z } 2022-11-23T01:37:54.6608455Z 2022-11-23T01:37:54.6608526Z - 2022-11-23T01:37:54.6608653Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6608703Z { 2022-11-23T01:37:54.6608846Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6608952Z 'code': None, 2022-11-23T01:37:54.6609167Z 'obj_weakref': 2022-11-23T01:37:54.6609422Z 'guarded_class': 2022-11-23T01:37:54.6609484Z } 2022-11-23T01:37:54.6609545Z 2022-11-23T01:37:54.6609602Z - 2022-11-23T01:37:54.6609722Z local 'model' NN_MODULE 2022-11-23T01:37:54.6609786Z { 2022-11-23T01:37:54.6609922Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6610094Z 'code': ['___check_obj_id(model, 140539050127312)'], 2022-11-23T01:37:54.6610323Z 'obj_weakref': 2022-11-23T01:37:54.6610565Z 'guarded_class': 2022-11-23T01:37:54.6610616Z } 2022-11-23T01:37:54.6610678Z 2022-11-23T01:37:54.6610751Z - 2022-11-23T01:37:54.6610878Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6610942Z { 2022-11-23T01:37:54.6611078Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6611297Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6611406Z 'obj_weakref': None 2022-11-23T01:37:54.6611627Z 'guarded_class': 2022-11-23T01:37:54.6611690Z } 2022-11-23T01:37:54.6611753Z 2022-11-23T01:37:54.6611823Z - 2022-11-23T01:37:54.6611972Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6612035Z { 2022-11-23T01:37:54.6612146Z 'guard_types': None, 2022-11-23T01:37:54.6612253Z 'code': None, 2022-11-23T01:37:54.6612371Z 'obj_weakref': None 2022-11-23T01:37:54.6612492Z 'guarded_class': None 2022-11-23T01:37:54.6612556Z } 2022-11-23T01:37:54.6612618Z 2022-11-23T01:37:54.6612687Z - 2022-11-23T01:37:54.6612822Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6612884Z { 2022-11-23T01:37:54.6613005Z 'guard_types': None, 2022-11-23T01:37:54.6613161Z 'code': None, 2022-11-23T01:37:54.6613354Z 'obj_weakref': None 2022-11-23T01:37:54.6613489Z 'guarded_class': None 2022-11-23T01:37:54.6613550Z } 2022-11-23T01:37:54.6613599Z 2022-11-23T01:37:54.6613863Z [2022-11-23 01:31:11,090] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 132 2022-11-23T01:37:54.6614235Z [2022-11-23 01:31:11,096] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/56/c56bzkbo6uvsrmfq7sjekl5f3rm4hxpjwquogqr6h3sm2w7deh66.py 2022-11-23T01:37:54.6614500Z [2022-11-23 01:31:11,096] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 132 2022-11-23T01:37:54.6614784Z [2022-11-23 01:31:11,376] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6615061Z [2022-11-23 01:31:11,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6615281Z [2022-11-23 01:31:11,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6615528Z [2022-11-23 01:31:11,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6615795Z [2022-11-23 01:31:11,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6616152Z [2022-11-23 01:31:11,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6616404Z [2022-11-23 01:31:11,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6616642Z [2022-11-23 01:31:11,391] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6616898Z [2022-11-23 01:31:11,392] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6617150Z [2022-11-23 01:31:11,418] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6617348Z [2022-11-23 01:31:11,418] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6617483Z __compiled_fn_134 .1208 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6617572Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6617665Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6617763Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6617769Z 2022-11-23T01:37:54.6618047Z [2022-11-23 01:31:11,419] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6618140Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6618233Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6618325Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6618418Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6618493Z 8 RETURN_VALUE 2022-11-23T01:37:54.6618499Z 2022-11-23T01:37:54.6618546Z 2022-11-23T01:37:54.6618959Z [2022-11-23 01:31:11,419] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6619125Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_134) 2022-11-23T01:37:54.6619223Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6619312Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6619390Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6619477Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6619555Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6619630Z 12 RETURN_VALUE 2022-11-23T01:37:54.6619637Z 2022-11-23T01:37:54.6619696Z 2022-11-23T01:37:54.6619885Z [2022-11-23 01:31:11,419] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6619956Z - 2022-11-23T01:37:54.6620078Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6620141Z { 2022-11-23T01:37:54.6620273Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6620462Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6620583Z 'obj_weakref': None 2022-11-23T01:37:54.6620808Z 'guarded_class': 2022-11-23T01:37:54.6620875Z } 2022-11-23T01:37:54.6620941Z 2022-11-23T01:37:54.6621010Z - 2022-11-23T01:37:54.6621124Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6621187Z { 2022-11-23T01:37:54.6621329Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6621497Z 'code': None, 2022-11-23T01:37:54.6621717Z 'obj_weakref': 2022-11-23T01:37:54.6621976Z 'guarded_class': 2022-11-23T01:37:54.6622039Z } 2022-11-23T01:37:54.6622100Z 2022-11-23T01:37:54.6622158Z - 2022-11-23T01:37:54.6622278Z local 'model' NN_MODULE 2022-11-23T01:37:54.6622340Z { 2022-11-23T01:37:54.6622477Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6622650Z 'code': ['___check_obj_id(model, 140539050127312)'], 2022-11-23T01:37:54.6622920Z 'obj_weakref': 2022-11-23T01:37:54.6623156Z 'guarded_class': 2022-11-23T01:37:54.6623207Z } 2022-11-23T01:37:54.6623269Z 2022-11-23T01:37:54.6623344Z - 2022-11-23T01:37:54.6623471Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6623532Z { 2022-11-23T01:37:54.6623673Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6623973Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6624137Z 'obj_weakref': None 2022-11-23T01:37:54.6624403Z 'guarded_class': 2022-11-23T01:37:54.6624469Z } 2022-11-23T01:37:54.6624530Z 2022-11-23T01:37:54.6624606Z - 2022-11-23T01:37:54.6624757Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6624823Z { 2022-11-23T01:37:54.6624933Z 'guard_types': None, 2022-11-23T01:37:54.6625041Z 'code': None, 2022-11-23T01:37:54.6625162Z 'obj_weakref': None 2022-11-23T01:37:54.6625287Z 'guarded_class': None 2022-11-23T01:37:54.6625354Z } 2022-11-23T01:37:54.6625420Z 2022-11-23T01:37:54.6625478Z - 2022-11-23T01:37:54.6625624Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6625689Z { 2022-11-23T01:37:54.6625810Z 'guard_types': None, 2022-11-23T01:37:54.6625921Z 'code': None, 2022-11-23T01:37:54.6626043Z 'obj_weakref': None 2022-11-23T01:37:54.6626166Z 'guarded_class': None 2022-11-23T01:37:54.6626216Z } 2022-11-23T01:37:54.6626277Z 2022-11-23T01:37:54.6626542Z [2022-11-23 01:31:11,429] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 133 2022-11-23T01:37:54.6626551Z 2022-11-23T01:37:54.6626555Z 2022-11-23T01:37:54.6626650Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6626718Z import torch 2022-11-23T01:37:54.6626787Z import random 2022-11-23T01:37:54.6626904Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6627030Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6627035Z 2022-11-23T01:37:54.6627101Z aten = torch.ops.aten 2022-11-23T01:37:54.6627235Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6627331Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6627336Z 2022-11-23T01:37:54.6627341Z 2022-11-23T01:37:54.6627479Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.6627685Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.6627804Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.6627909Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.6627970Z { 2022-11-23T01:37:54.6628035Z #pragma GCC ivdep 2022-11-23T01:37:54.6628194Z for(long i0=0; i0<3; i0+=1) 2022-11-23T01:37:54.6628262Z { 2022-11-23T01:37:54.6628343Z #pragma GCC ivdep 2022-11-23T01:37:54.6628433Z for(long i1=0; i1<166375; i1+=1) 2022-11-23T01:37:54.6628552Z { 2022-11-23T01:37:54.6628605Z { 2022-11-23T01:37:54.6628670Z { 2022-11-23T01:37:54.6628772Z auto tmp0 = in_ptr0[i0 + (3*i1)]; 2022-11-23T01:37:54.6628868Z out_ptr0[i1 + (166375*i0)] = tmp0; 2022-11-23T01:37:54.6628935Z } 2022-11-23T01:37:54.6628999Z } 2022-11-23T01:37:54.6629062Z } 2022-11-23T01:37:54.6629109Z } 2022-11-23T01:37:54.6629169Z } 2022-11-23T01:37:54.6629254Z ''') 2022-11-23T01:37:54.6629259Z 2022-11-23T01:37:54.6629264Z 2022-11-23T01:37:54.6629351Z async_compile.wait(globals()) 2022-11-23T01:37:54.6629460Z del async_compile 2022-11-23T01:37:54.6629465Z 2022-11-23T01:37:54.6629537Z def call(args): 2022-11-23T01:37:54.6629656Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6629713Z args.clear() 2022-11-23T01:37:54.6629959Z buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6630097Z kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.6630163Z del arg7_1 2022-11-23T01:37:54.6630304Z buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1) 2022-11-23T01:37:54.6630417Z assert_size_stride(buf1, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1)) 2022-11-23T01:37:54.6630483Z del arg0_1 2022-11-23T01:37:54.6630548Z del arg1_1 2022-11-23T01:37:54.6630605Z return (buf1, ) 2022-11-23T01:37:54.6630610Z 2022-11-23T01:37:54.6630614Z 2022-11-23T01:37:54.6630691Z if __name__ == "__main__": 2022-11-23T01:37:54.6630803Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6630924Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6631142Z arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6631341Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6631536Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6631726Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6631904Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6632091Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6632276Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6632510Z arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6632669Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6632674Z 2022-11-23T01:37:54.6632679Z 2022-11-23T01:37:54.6632771Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6632839Z import torch 2022-11-23T01:37:54.6632911Z import random 2022-11-23T01:37:54.6633013Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6633133Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6633138Z 2022-11-23T01:37:54.6633216Z aten = torch.ops.aten 2022-11-23T01:37:54.6633347Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6633439Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6633445Z 2022-11-23T01:37:54.6633448Z 2022-11-23T01:37:54.6633534Z async_compile.wait(globals()) 2022-11-23T01:37:54.6633605Z del async_compile 2022-11-23T01:37:54.6633610Z 2022-11-23T01:37:54.6633682Z def call(args): 2022-11-23T01:37:54.6633788Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6633856Z args.clear() 2022-11-23T01:37:54.6633995Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4) 2022-11-23T01:37:54.6634144Z assert_size_stride(buf0, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1)) 2022-11-23T01:37:54.6634212Z del arg0_1 2022-11-23T01:37:54.6634276Z del arg1_1 2022-11-23T01:37:54.6634342Z del arg7_1 2022-11-23T01:37:54.6634401Z return (buf0, ) 2022-11-23T01:37:54.6634417Z 2022-11-23T01:37:54.6634421Z 2022-11-23T01:37:54.6634482Z if __name__ == "__main__": 2022-11-23T01:37:54.6634594Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6634716Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6634940Z arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6635171Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6635369Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6635561Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6635754Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6635934Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6636114Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6636351Z arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6636505Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6636511Z 2022-11-23T01:37:54.6636515Z 2022-11-23T01:37:54.6636607Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6636680Z import torch 2022-11-23T01:37:54.6636748Z import random 2022-11-23T01:37:54.6636859Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6636965Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6636970Z 2022-11-23T01:37:54.6637050Z aten = torch.ops.aten 2022-11-23T01:37:54.6637187Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6637277Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6637281Z 2022-11-23T01:37:54.6637286Z 2022-11-23T01:37:54.6637422Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.6637627Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.6637747Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.6637847Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.6637894Z { 2022-11-23T01:37:54.6637968Z #pragma GCC ivdep 2022-11-23T01:37:54.6638046Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:37:54.6638109Z { 2022-11-23T01:37:54.6638184Z #pragma GCC ivdep 2022-11-23T01:37:54.6638266Z for(long i1=0; i1<166375; i1+=1) 2022-11-23T01:37:54.6638327Z { 2022-11-23T01:37:54.6638378Z { 2022-11-23T01:37:54.6638441Z { 2022-11-23T01:37:54.6638539Z auto tmp0 = in_ptr0[i0 + (12*i1)]; 2022-11-23T01:37:54.6638635Z out_ptr0[i1 + (166375*i0)] = tmp0; 2022-11-23T01:37:54.6638698Z } 2022-11-23T01:37:54.6638757Z } 2022-11-23T01:37:54.6638806Z } 2022-11-23T01:37:54.6638865Z } 2022-11-23T01:37:54.6638921Z } 2022-11-23T01:37:54.6638999Z ''') 2022-11-23T01:37:54.6639004Z 2022-11-23T01:37:54.6639008Z 2022-11-23T01:37:54.6639096Z async_compile.wait(globals()) 2022-11-23T01:37:54.6639167Z del async_compile 2022-11-23T01:37:54.6639171Z 2022-11-23T01:37:54.6639239Z def call(args): 2022-11-23T01:37:54.6639353Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6639414Z args.clear() 2022-11-23T01:37:54.6639653Z buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6639786Z kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.6639853Z del arg7_1 2022-11-23T01:37:54.6640021Z buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4) 2022-11-23T01:37:54.6640141Z assert_size_stride(buf1, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1)) 2022-11-23T01:37:54.6640209Z del arg0_1 2022-11-23T01:37:54.6640263Z del arg1_1 2022-11-23T01:37:54.6640331Z return (buf1, ) 2022-11-23T01:37:54.6640337Z 2022-11-23T01:37:54.6640341Z 2022-11-23T01:37:54.6640412Z if __name__ == "__main__": 2022-11-23T01:37:54.6640523Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6640643Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6640898Z arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6641097Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6641293Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6641476Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6641667Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6641859Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6642039Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6642274Z arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6642428Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6642436Z 2022-11-23T01:37:54.6642440Z 2022-11-23T01:37:54.6642535Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6642603Z import torch 2022-11-23T01:37:54.6642659Z import random 2022-11-23T01:37:54.6642770Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6642886Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6642891Z 2022-11-23T01:37:54.6642969Z aten = torch.ops.aten 2022-11-23T01:37:54.6643102Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6643191Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6643196Z 2022-11-23T01:37:54.6643200Z 2022-11-23T01:37:54.6643287Z async_compile.wait(globals()) 2022-11-23T01:37:54.6643357Z del async_compile 2022-11-23T01:37:54.6643362Z 2022-11-23T01:37:54.6643428Z def call(args): 2022-11-23T01:37:54.6643537Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6643607Z args.clear() 2022-11-23T01:37:54.6643746Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1) 2022-11-23T01:37:54.6643868Z assert_size_stride(buf0, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1)) 2022-11-23T01:37:54.6643938Z del arg0_1 2022-11-23T01:37:54.6644003Z del arg1_1 2022-11-23T01:37:54.6644067Z del arg7_1 2022-11-23T01:37:54.6644126Z return (buf0, ) 2022-11-23T01:37:54.6644133Z 2022-11-23T01:37:54.6644137Z 2022-11-23T01:37:54.6644208Z if __name__ == "__main__": 2022-11-23T01:37:54.6644319Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6644439Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6644657Z arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6644853Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6645046Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6645240Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6645420Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6645607Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6645789Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6646060Z arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6646221Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6646226Z 2022-11-23T01:37:54.6646231Z 2022-11-23T01:37:54.6646328Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6646396Z import torch 2022-11-23T01:37:54.6646466Z import random 2022-11-23T01:37:54.6646569Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6646687Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6646722Z 2022-11-23T01:37:54.6646801Z aten = torch.ops.aten 2022-11-23T01:37:54.6646934Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6647024Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6647029Z 2022-11-23T01:37:54.6647033Z 2022-11-23T01:37:54.6647171Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.6647378Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.6647498Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.6647586Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.6647644Z { 2022-11-23T01:37:54.6647719Z #pragma GCC ivdep 2022-11-23T01:37:54.6647801Z for(long i0=0; i0<3; i0+=1) 2022-11-23T01:37:54.6647861Z { 2022-11-23T01:37:54.6647936Z #pragma GCC ivdep 2022-11-23T01:37:54.6648021Z for(long i1=0; i1<166375; i1+=1) 2022-11-23T01:37:54.6648071Z { 2022-11-23T01:37:54.6648135Z { 2022-11-23T01:37:54.6648196Z { 2022-11-23T01:37:54.6648295Z auto tmp0 = in_ptr0[i0 + (3*i1)]; 2022-11-23T01:37:54.6648389Z out_ptr0[i1 + (166375*i0)] = tmp0; 2022-11-23T01:37:54.6648452Z } 2022-11-23T01:37:54.6648516Z } 2022-11-23T01:37:54.6648564Z } 2022-11-23T01:37:54.6648624Z } 2022-11-23T01:37:54.6648690Z } 2022-11-23T01:37:54.6648770Z ''') 2022-11-23T01:37:54.6648776Z 2022-11-23T01:37:54.6648780Z 2022-11-23T01:37:54.6648871Z async_compile.wait(globals()) 2022-11-23T01:37:54.6648941Z del async_compile 2022-11-23T01:37:54.6648946Z 2022-11-23T01:37:54.6649014Z def call(args): 2022-11-23T01:37:54.6649119Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6649187Z args.clear() 2022-11-23T01:37:54.6649423Z buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6649567Z kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.6649635Z del arg7_1 2022-11-23T01:37:54.6649774Z buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1) 2022-11-23T01:37:54.6649888Z assert_size_stride(buf1, (1, 32, 55, 55, 55), (5324000, 166375, 3025, 55, 1)) 2022-11-23T01:37:54.6649946Z del arg0_1 2022-11-23T01:37:54.6650012Z del arg1_1 2022-11-23T01:37:54.6650080Z return (buf1, ) 2022-11-23T01:37:54.6650085Z 2022-11-23T01:37:54.6650089Z 2022-11-23T01:37:54.6650167Z if __name__ == "__main__": 2022-11-23T01:37:54.6650287Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6650407Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6650626Z arg0_1 = rand_strided((32, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6650824Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6651008Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6651200Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6651393Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6651612Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6651798Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6652030Z arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6652184Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6652556Z [2022-11-23 01:31:11,441] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ic/cic65wla657rcviuvyecm34bpcfudzruebxfxliurryvqdag56i2.py 2022-11-23T01:37:54.6652824Z [2022-11-23 01:31:11,441] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 133 2022-11-23T01:37:54.6653098Z [2022-11-23 01:31:11,872] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6653368Z [2022-11-23 01:31:11,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6653591Z [2022-11-23 01:31:11,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6653836Z [2022-11-23 01:31:11,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6654116Z [2022-11-23 01:31:11,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6654431Z [2022-11-23 01:31:11,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6654681Z [2022-11-23 01:31:11,887] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6654922Z [2022-11-23 01:31:11,887] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6655180Z [2022-11-23 01:31:11,888] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6655423Z [2022-11-23 01:31:12,011] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6655614Z [2022-11-23 01:31:12,011] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6655749Z __compiled_fn_135 .1219 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6655838Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6655936Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6656031Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6656037Z 2022-11-23T01:37:54.6656319Z [2022-11-23 01:31:12,011] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6656413Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6656491Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6656582Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6656670Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6656746Z 8 RETURN_VALUE 2022-11-23T01:37:54.6656751Z 2022-11-23T01:37:54.6656809Z 2022-11-23T01:37:54.6657086Z [2022-11-23 01:31:12,011] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6657191Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_135) 2022-11-23T01:37:54.6657279Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6657356Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6657430Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6657518Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6657611Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6657687Z 12 RETURN_VALUE 2022-11-23T01:37:54.6657692Z 2022-11-23T01:37:54.6657752Z 2022-11-23T01:37:54.6657936Z [2022-11-23 01:31:12,012] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6657995Z - 2022-11-23T01:37:54.6658115Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6658214Z { 2022-11-23T01:37:54.6658360Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6658551Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6658677Z 'obj_weakref': None 2022-11-23T01:37:54.6659140Z 'guarded_class': 2022-11-23T01:37:54.6659198Z } 2022-11-23T01:37:54.6659264Z 2022-11-23T01:37:54.6659338Z - 2022-11-23T01:37:54.6659467Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6659530Z { 2022-11-23T01:37:54.6659754Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6659866Z 'code': None, 2022-11-23T01:37:54.6660070Z 'obj_weakref': 2022-11-23T01:37:54.6660331Z 'guarded_class': 2022-11-23T01:37:54.6660398Z } 2022-11-23T01:37:54.6660462Z 2022-11-23T01:37:54.6660533Z - 2022-11-23T01:37:54.6660655Z local 'model' NN_MODULE 2022-11-23T01:37:54.6660720Z { 2022-11-23T01:37:54.6660844Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6661021Z 'code': ['___check_obj_id(model, 140538746670992)'], 2022-11-23T01:37:54.6661247Z 'obj_weakref': 2022-11-23T01:37:54.6661488Z 'guarded_class': 2022-11-23T01:37:54.6661556Z } 2022-11-23T01:37:54.6661621Z 2022-11-23T01:37:54.6661693Z - 2022-11-23T01:37:54.6661804Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6661869Z { 2022-11-23T01:37:54.6662010Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6662234Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6662358Z 'obj_weakref': None 2022-11-23T01:37:54.6662586Z 'guarded_class': 2022-11-23T01:37:54.6662651Z } 2022-11-23T01:37:54.6662701Z 2022-11-23T01:37:54.6662771Z - 2022-11-23T01:37:54.6662920Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6662986Z { 2022-11-23T01:37:54.6663107Z 'guard_types': None, 2022-11-23T01:37:54.6663221Z 'code': None, 2022-11-23T01:37:54.6663347Z 'obj_weakref': None 2022-11-23T01:37:54.6663458Z 'guarded_class': None 2022-11-23T01:37:54.6663523Z } 2022-11-23T01:37:54.6663585Z 2022-11-23T01:37:54.6663655Z - 2022-11-23T01:37:54.6663805Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6663869Z { 2022-11-23T01:37:54.6663996Z 'guard_types': None, 2022-11-23T01:37:54.6664093Z 'code': None, 2022-11-23T01:37:54.6664213Z 'obj_weakref': None 2022-11-23T01:37:54.6664336Z 'guarded_class': None 2022-11-23T01:37:54.6664400Z } 2022-11-23T01:37:54.6664463Z 2022-11-23T01:37:54.6664730Z [2022-11-23 01:31:12,022] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 134 2022-11-23T01:37:54.6665109Z [2022-11-23 01:31:12,028] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mo/cmosqlnk7cqasnwwejgosx6scyzawgxxb2pev5kvplvmeihyx457.py 2022-11-23T01:37:54.6665369Z [2022-11-23 01:31:12,028] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 134 2022-11-23T01:37:54.6665613Z [2022-11-23 01:31:13,337] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6665933Z [2022-11-23 01:31:13,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6666163Z [2022-11-23 01:31:13,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6666414Z [2022-11-23 01:31:13,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6666695Z [2022-11-23 01:31:13,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6667016Z [2022-11-23 01:31:13,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6667300Z [2022-11-23 01:31:13,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6667539Z [2022-11-23 01:31:13,352] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6667801Z [2022-11-23 01:31:13,353] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6668040Z [2022-11-23 01:31:13,479] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6668313Z [2022-11-23 01:31:13,479] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6668449Z __compiled_fn_136 .1230 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6668537Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6668637Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6668734Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6668740Z 2022-11-23T01:37:54.6669026Z [2022-11-23 01:31:13,480] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6669120Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6669197Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6669289Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6669379Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6669456Z 8 RETURN_VALUE 2022-11-23T01:37:54.6669461Z 2022-11-23T01:37:54.6669522Z 2022-11-23T01:37:54.6669797Z [2022-11-23 01:31:13,480] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6669906Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_136) 2022-11-23T01:37:54.6669983Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6670072Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6670148Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6670239Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6670328Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6670402Z 12 RETURN_VALUE 2022-11-23T01:37:54.6670408Z 2022-11-23T01:37:54.6670468Z 2022-11-23T01:37:54.6670651Z [2022-11-23 01:31:13,481] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6670709Z - 2022-11-23T01:37:54.6670831Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6670894Z { 2022-11-23T01:37:54.6671037Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6671228Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6671348Z 'obj_weakref': None 2022-11-23T01:37:54.6671573Z 'guarded_class': 2022-11-23T01:37:54.6671628Z } 2022-11-23T01:37:54.6671688Z 2022-11-23T01:37:54.6671757Z - 2022-11-23T01:37:54.6671883Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6671951Z { 2022-11-23T01:37:54.6672094Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6672192Z 'code': None, 2022-11-23T01:37:54.6672409Z 'obj_weakref': 2022-11-23T01:37:54.6672697Z 'guarded_class': 2022-11-23T01:37:54.6672767Z } 2022-11-23T01:37:54.6672828Z 2022-11-23T01:37:54.6672898Z - 2022-11-23T01:37:54.6673024Z local 'model' NN_MODULE 2022-11-23T01:37:54.6673077Z { 2022-11-23T01:37:54.6673211Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6673382Z 'code': ['___check_obj_id(model, 140538746670992)'], 2022-11-23T01:37:54.6673608Z 'obj_weakref': 2022-11-23T01:37:54.6673882Z 'guarded_class': 2022-11-23T01:37:54.6673946Z } 2022-11-23T01:37:54.6674006Z 2022-11-23T01:37:54.6674077Z - 2022-11-23T01:37:54.6674188Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6674251Z { 2022-11-23T01:37:54.6674391Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6674615Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6674735Z 'obj_weakref': None 2022-11-23T01:37:54.6674957Z 'guarded_class': 2022-11-23T01:37:54.6675020Z } 2022-11-23T01:37:54.6675071Z 2022-11-23T01:37:54.6675139Z - 2022-11-23T01:37:54.6675286Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6675347Z { 2022-11-23T01:37:54.6675468Z 'guard_types': None, 2022-11-23T01:37:54.6675581Z 'code': None, 2022-11-23T01:37:54.6675701Z 'obj_weakref': None 2022-11-23T01:37:54.6675810Z 'guarded_class': None 2022-11-23T01:37:54.6675872Z } 2022-11-23T01:37:54.6675934Z 2022-11-23T01:37:54.6676002Z - 2022-11-23T01:37:54.6676148Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6676215Z { 2022-11-23T01:37:54.6676326Z 'guard_types': None, 2022-11-23T01:37:54.6676432Z 'code': None, 2022-11-23T01:37:54.6676551Z 'obj_weakref': None 2022-11-23T01:37:54.6676672Z 'guarded_class': None 2022-11-23T01:37:54.6676732Z } 2022-11-23T01:37:54.6676795Z 2022-11-23T01:37:54.6677055Z [2022-11-23 01:31:13,491] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 135 2022-11-23T01:37:54.6677408Z [2022-11-23 01:31:13,502] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vm/cvmicyg3xwwl74gb4w67x6cm46zbopia7ew7u27y4bomfajtkajl.py 2022-11-23T01:37:54.6677682Z [2022-11-23 01:31:13,502] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 135 2022-11-23T01:37:54.6677919Z [2022-11-23 01:31:14,702] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6678189Z [2022-11-23 01:31:14,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6678411Z [2022-11-23 01:31:14,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6678656Z [2022-11-23 01:31:14,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6678934Z [2022-11-23 01:31:14,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6679252Z [2022-11-23 01:31:14,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6679503Z [2022-11-23 01:31:14,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6679740Z [2022-11-23 01:31:14,718] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6680030Z [2022-11-23 01:31:14,719] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6680282Z [2022-11-23 01:31:14,778] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6680473Z [2022-11-23 01:31:14,779] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6680607Z __compiled_fn_137 .1241 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6680696Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6680793Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6680891Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6680931Z 2022-11-23T01:37:54.6681215Z [2022-11-23 01:31:14,779] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6681296Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6681385Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6681478Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6681568Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6681643Z 8 RETURN_VALUE 2022-11-23T01:37:54.6681648Z 2022-11-23T01:37:54.6681710Z 2022-11-23T01:37:54.6681988Z [2022-11-23 01:31:14,779] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6682098Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_137) 2022-11-23T01:37:54.6682174Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6682262Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6682343Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6682430Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6682518Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6682591Z 12 RETURN_VALUE 2022-11-23T01:37:54.6682596Z 2022-11-23T01:37:54.6682653Z 2022-11-23T01:37:54.6682827Z [2022-11-23 01:31:14,780] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6682897Z - 2022-11-23T01:37:54.6683017Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6683079Z { 2022-11-23T01:37:54.6683221Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6683406Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6683527Z 'obj_weakref': None 2022-11-23T01:37:54.6683740Z 'guarded_class': 2022-11-23T01:37:54.6683804Z } 2022-11-23T01:37:54.6683864Z 2022-11-23T01:37:54.6683935Z - 2022-11-23T01:37:54.6684061Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6684123Z { 2022-11-23T01:37:54.6684266Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6684362Z 'code': None, 2022-11-23T01:37:54.6684577Z 'obj_weakref': 2022-11-23T01:37:54.6684835Z 'guarded_class': 2022-11-23T01:37:54.6684900Z } 2022-11-23T01:37:54.6684961Z 2022-11-23T01:37:54.6685032Z - 2022-11-23T01:37:54.6685154Z local 'model' NN_MODULE 2022-11-23T01:37:54.6685205Z { 2022-11-23T01:37:54.6685341Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6685511Z 'code': ['___check_obj_id(model, 140539205187728)'], 2022-11-23T01:37:54.6685850Z 'obj_weakref': 2022-11-23T01:37:54.6686111Z 'guarded_class': 2022-11-23T01:37:54.6686172Z } 2022-11-23T01:37:54.6686233Z 2022-11-23T01:37:54.6686289Z - 2022-11-23T01:37:54.6686412Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6686546Z { 2022-11-23T01:37:54.6686689Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6686910Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6687032Z 'obj_weakref': None 2022-11-23T01:37:54.6687257Z 'guarded_class': 2022-11-23T01:37:54.6687307Z } 2022-11-23T01:37:54.6687369Z 2022-11-23T01:37:54.6687439Z - 2022-11-23T01:37:54.6687587Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6687689Z { 2022-11-23T01:37:54.6687813Z 'guard_types': None, 2022-11-23T01:37:54.6687923Z 'code': None, 2022-11-23T01:37:54.6688032Z 'obj_weakref': None 2022-11-23T01:37:54.6688155Z 'guarded_class': None 2022-11-23T01:37:54.6688217Z } 2022-11-23T01:37:54.6688278Z 2022-11-23T01:37:54.6688348Z - 2022-11-23T01:37:54.6688496Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6688558Z { 2022-11-23T01:37:54.6688666Z 'guard_types': None, 2022-11-23T01:37:54.6688772Z 'code': None, 2022-11-23T01:37:54.6688891Z 'obj_weakref': None 2022-11-23T01:37:54.6689014Z 'guarded_class': None 2022-11-23T01:37:54.6689075Z } 2022-11-23T01:37:54.6689137Z 2022-11-23T01:37:54.6689398Z [2022-11-23 01:31:14,790] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 136 2022-11-23T01:37:54.6689761Z [2022-11-23 01:31:14,795] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ps/cps2wgjnzsis5cucfgvykq4vtngasrlhca36hb5lbgqitxhadpif.py 2022-11-23T01:37:54.6690028Z [2022-11-23 01:31:14,795] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 136 2022-11-23T01:37:54.6690270Z [2022-11-23 01:31:15,103] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6690541Z [2022-11-23 01:31:15,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6690763Z [2022-11-23 01:31:15,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6691009Z [2022-11-23 01:31:15,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6691288Z [2022-11-23 01:31:15,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6691609Z [2022-11-23 01:31:15,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6691857Z [2022-11-23 01:31:15,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6692084Z [2022-11-23 01:31:15,119] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6692341Z [2022-11-23 01:31:15,120] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6692590Z [2022-11-23 01:31:15,180] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6692782Z [2022-11-23 01:31:15,180] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6692915Z __compiled_fn_138 .1252 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6693003Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6693101Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6693201Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6693207Z 2022-11-23T01:37:54.6693485Z [2022-11-23 01:31:15,181] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6693567Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6693684Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6693779Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6693867Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6693942Z 8 RETURN_VALUE 2022-11-23T01:37:54.6693948Z 2022-11-23T01:37:54.6694007Z 2022-11-23T01:37:54.6694283Z [2022-11-23 01:31:15,181] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6694379Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_138) 2022-11-23T01:37:54.6694469Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6694585Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6694660Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6694747Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6694838Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6694912Z 12 RETURN_VALUE 2022-11-23T01:37:54.6694918Z 2022-11-23T01:37:54.6694975Z 2022-11-23T01:37:54.6695151Z [2022-11-23 01:31:15,182] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6695220Z - 2022-11-23T01:37:54.6695340Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6695402Z { 2022-11-23T01:37:54.6695544Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6695735Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6695856Z 'obj_weakref': None 2022-11-23T01:37:54.6696068Z 'guarded_class': 2022-11-23T01:37:54.6696134Z } 2022-11-23T01:37:54.6696195Z 2022-11-23T01:37:54.6696266Z - 2022-11-23T01:37:54.6696392Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6696455Z { 2022-11-23T01:37:54.6696586Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6696695Z 'code': None, 2022-11-23T01:37:54.6696911Z 'obj_weakref': 2022-11-23T01:37:54.6697167Z 'guarded_class': 2022-11-23T01:37:54.6697229Z } 2022-11-23T01:37:54.6697289Z 2022-11-23T01:37:54.6697358Z - 2022-11-23T01:37:54.6697467Z local 'model' NN_MODULE 2022-11-23T01:37:54.6697528Z { 2022-11-23T01:37:54.6697661Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6697832Z 'code': ['___check_obj_id(model, 140539205187728)'], 2022-11-23T01:37:54.6698058Z 'obj_weakref': 2022-11-23T01:37:54.6698296Z 'guarded_class': 2022-11-23T01:37:54.6698359Z } 2022-11-23T01:37:54.6698420Z 2022-11-23T01:37:54.6698476Z - 2022-11-23T01:37:54.6698600Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6698662Z { 2022-11-23T01:37:54.6698971Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6699250Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6699373Z 'obj_weakref': None 2022-11-23T01:37:54.6699599Z 'guarded_class': 2022-11-23T01:37:54.6699649Z } 2022-11-23T01:37:54.6699711Z 2022-11-23T01:37:54.6699781Z - 2022-11-23T01:37:54.6699936Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6699999Z { 2022-11-23T01:37:54.6700120Z 'guard_types': None, 2022-11-23T01:37:54.6700228Z 'code': None, 2022-11-23T01:37:54.6700335Z 'obj_weakref': None 2022-11-23T01:37:54.6700460Z 'guarded_class': None 2022-11-23T01:37:54.6700523Z } 2022-11-23T01:37:54.6700647Z 2022-11-23T01:37:54.6700726Z - 2022-11-23T01:37:54.6700876Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6700926Z { 2022-11-23T01:37:54.6701049Z 'guard_types': None, 2022-11-23T01:37:54.6701159Z 'code': None, 2022-11-23T01:37:54.6701279Z 'obj_weakref': None 2022-11-23T01:37:54.6701405Z 'guarded_class': None 2022-11-23T01:37:54.6701468Z } 2022-11-23T01:37:54.6701531Z 2022-11-23T01:37:54.6701783Z [2022-11-23 01:31:15,192] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 137 2022-11-23T01:37:54.6702215Z [2022-11-23 01:31:15,205] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bf/cbfiaj4poi6npqfyvzc5mt3phy2odhsgnghhqvo5r4qlbuzyvdvh.py 2022-11-23T01:37:54.6702483Z [2022-11-23 01:31:15,205] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 137 2022-11-23T01:37:54.6702729Z [2022-11-23 01:31:15,688] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6703005Z [2022-11-23 01:31:15,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6703227Z [2022-11-23 01:31:15,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6703475Z [2022-11-23 01:31:15,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6703756Z [2022-11-23 01:31:15,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6704081Z [2022-11-23 01:31:15,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6704333Z [2022-11-23 01:31:15,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6704559Z [2022-11-23 01:31:15,704] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6704816Z [2022-11-23 01:31:15,705] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6705071Z [2022-11-23 01:31:15,897] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6705265Z [2022-11-23 01:31:15,897] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6705402Z __compiled_fn_139 .1263 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6705493Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6705596Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6705695Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6705701Z 2022-11-23T01:37:54.6705970Z [2022-11-23 01:31:15,897] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6706068Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6706160Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6706253Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6706344Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6706422Z 8 RETURN_VALUE 2022-11-23T01:37:54.6706427Z 2022-11-23T01:37:54.6706489Z 2022-11-23T01:37:54.6706767Z [2022-11-23 01:31:15,898] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6706863Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_139) 2022-11-23T01:37:54.6706956Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6707045Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6707124Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6707212Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6707303Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6707408Z 12 RETURN_VALUE 2022-11-23T01:37:54.6707413Z 2022-11-23T01:37:54.6707461Z 2022-11-23T01:37:54.6707652Z [2022-11-23 01:31:15,898] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6707725Z - 2022-11-23T01:37:54.6707845Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6707911Z { 2022-11-23T01:37:54.6708056Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6708341Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6708453Z 'obj_weakref': None 2022-11-23T01:37:54.6708679Z 'guarded_class': 2022-11-23T01:37:54.6708787Z } 2022-11-23T01:37:54.6708851Z 2022-11-23T01:37:54.6708923Z - 2022-11-23T01:37:54.6709057Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6709119Z { 2022-11-23T01:37:54.6709252Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6709363Z 'code': None, 2022-11-23T01:37:54.6709578Z 'obj_weakref': 2022-11-23T01:37:54.6709834Z 'guarded_class': 2022-11-23T01:37:54.6709898Z } 2022-11-23T01:37:54.6709961Z 2022-11-23T01:37:54.6710032Z - 2022-11-23T01:37:54.6710141Z local 'model' NN_MODULE 2022-11-23T01:37:54.6710205Z { 2022-11-23T01:37:54.6710341Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6710518Z 'code': ['___check_obj_id(model, 140539049773456)'], 2022-11-23T01:37:54.6710746Z 'obj_weakref': 2022-11-23T01:37:54.6710986Z 'guarded_class': 2022-11-23T01:37:54.6711049Z } 2022-11-23T01:37:54.6711102Z 2022-11-23T01:37:54.6711172Z - 2022-11-23T01:37:54.6711298Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6711359Z { 2022-11-23T01:37:54.6711497Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6711719Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6711841Z 'obj_weakref': None 2022-11-23T01:37:54.6712050Z 'guarded_class': 2022-11-23T01:37:54.6712114Z } 2022-11-23T01:37:54.6712178Z 2022-11-23T01:37:54.6712249Z - 2022-11-23T01:37:54.6712397Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6712458Z { 2022-11-23T01:37:54.6712580Z 'guard_types': None, 2022-11-23T01:37:54.6712676Z 'code': None, 2022-11-23T01:37:54.6712794Z 'obj_weakref': None 2022-11-23T01:37:54.6712919Z 'guarded_class': None 2022-11-23T01:37:54.6712982Z } 2022-11-23T01:37:54.6713042Z 2022-11-23T01:37:54.6713111Z - 2022-11-23T01:37:54.6713257Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6713306Z { 2022-11-23T01:37:54.6713425Z 'guard_types': None, 2022-11-23T01:37:54.6713534Z 'code': None, 2022-11-23T01:37:54.6713653Z 'obj_weakref': None 2022-11-23T01:37:54.6713774Z 'guarded_class': None 2022-11-23T01:37:54.6713837Z } 2022-11-23T01:37:54.6713886Z 2022-11-23T01:37:54.6714146Z [2022-11-23 01:31:15,909] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 138 2022-11-23T01:37:54.6714151Z 2022-11-23T01:37:54.6714156Z 2022-11-23T01:37:54.6714248Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6714314Z import torch 2022-11-23T01:37:54.6714381Z import random 2022-11-23T01:37:54.6714523Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6714645Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6714650Z 2022-11-23T01:37:54.6714726Z aten = torch.ops.aten 2022-11-23T01:37:54.6714846Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6714940Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6714945Z 2022-11-23T01:37:54.6714949Z 2022-11-23T01:37:54.6715038Z async_compile.wait(globals()) 2022-11-23T01:37:54.6715110Z del async_compile 2022-11-23T01:37:54.6715115Z 2022-11-23T01:37:54.6715185Z def call(args): 2022-11-23T01:37:54.6715306Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6715409Z args.clear() 2022-11-23T01:37:54.6715551Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4) 2022-11-23T01:37:54.6715658Z assert_size_stride(buf0, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1)) 2022-11-23T01:37:54.6715724Z del arg0_1 2022-11-23T01:37:54.6715791Z del arg1_1 2022-11-23T01:37:54.6715857Z del arg7_1 2022-11-23T01:37:54.6715928Z return (buf0, ) 2022-11-23T01:37:54.6715933Z 2022-11-23T01:37:54.6715937Z 2022-11-23T01:37:54.6716010Z if __name__ == "__main__": 2022-11-23T01:37:54.6716124Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6716248Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6716458Z arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6716655Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6716855Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6717047Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6717240Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6717433Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6717615Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6717852Z arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6717997Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6718014Z 2022-11-23T01:37:54.6718018Z 2022-11-23T01:37:54.6718100Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6718169Z import torch 2022-11-23T01:37:54.6718237Z import random 2022-11-23T01:37:54.6718355Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6718476Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6718481Z 2022-11-23T01:37:54.6718559Z aten = torch.ops.aten 2022-11-23T01:37:54.6718691Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6718770Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6718777Z 2022-11-23T01:37:54.6718792Z 2022-11-23T01:37:54.6718917Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.6719121Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.6719239Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.6719339Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.6719400Z { 2022-11-23T01:37:54.6719476Z #pragma GCC ivdep 2022-11-23T01:37:54.6719557Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:37:54.6719607Z { 2022-11-23T01:37:54.6719682Z #pragma GCC ivdep 2022-11-23T01:37:54.6719769Z for(long i1=0; i1<166375; i1+=1) 2022-11-23T01:37:54.6719829Z { 2022-11-23T01:37:54.6719890Z { 2022-11-23T01:37:54.6719953Z { 2022-11-23T01:37:54.6720040Z auto tmp0 = in_ptr0[i0 + (12*i1)]; 2022-11-23T01:37:54.6720134Z out_ptr0[i1 + (166375*i0)] = tmp0; 2022-11-23T01:37:54.6720224Z } 2022-11-23T01:37:54.6720289Z } 2022-11-23T01:37:54.6720350Z } 2022-11-23T01:37:54.6720410Z } 2022-11-23T01:37:54.6720471Z } 2022-11-23T01:37:54.6720537Z ''') 2022-11-23T01:37:54.6720543Z 2022-11-23T01:37:54.6720547Z 2022-11-23T01:37:54.6720639Z async_compile.wait(globals()) 2022-11-23T01:37:54.6720711Z del async_compile 2022-11-23T01:37:54.6720716Z 2022-11-23T01:37:54.6720786Z def call(args): 2022-11-23T01:37:54.6720904Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6720975Z args.clear() 2022-11-23T01:37:54.6721254Z buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6721387Z kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.6721441Z del arg7_1 2022-11-23T01:37:54.6721581Z buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4) 2022-11-23T01:37:54.6721700Z assert_size_stride(buf1, (1, 128, 55, 55, 55), (21296000, 166375, 3025, 55, 1)) 2022-11-23T01:37:54.6721766Z del arg0_1 2022-11-23T01:37:54.6721831Z del arg1_1 2022-11-23T01:37:54.6721901Z return (buf1, ) 2022-11-23T01:37:54.6721906Z 2022-11-23T01:37:54.6721909Z 2022-11-23T01:37:54.6721985Z if __name__ == "__main__": 2022-11-23T01:37:54.6722086Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6722206Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6722425Z arg0_1 = rand_strided((128, 3, 1, 1, 1), (3, 1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6722625Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6722824Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6723015Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6723207Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6723395Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6723564Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6723802Z arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6723956Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6723961Z 2022-11-23T01:37:54.6723965Z 2022-11-23T01:37:54.6724060Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6724131Z import torch 2022-11-23T01:37:54.6724199Z import random 2022-11-23T01:37:54.6724313Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6724433Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6724437Z 2022-11-23T01:37:54.6724514Z aten = torch.ops.aten 2022-11-23T01:37:54.6724637Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6724728Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6724733Z 2022-11-23T01:37:54.6724737Z 2022-11-23T01:37:54.6724823Z async_compile.wait(globals()) 2022-11-23T01:37:54.6724894Z del async_compile 2022-11-23T01:37:54.6724899Z 2022-11-23T01:37:54.6724968Z def call(args): 2022-11-23T01:37:54.6725084Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6725153Z args.clear() 2022-11-23T01:37:54.6725293Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1) 2022-11-23T01:37:54.6725397Z assert_size_stride(buf0, (1, 32, 53, 53, 53), (4764064, 148877, 2809, 53, 1)) 2022-11-23T01:37:54.6725464Z del arg0_1 2022-11-23T01:37:54.6725532Z del arg1_1 2022-11-23T01:37:54.6725596Z del arg7_1 2022-11-23T01:37:54.6725666Z return (buf0, ) 2022-11-23T01:37:54.6725670Z 2022-11-23T01:37:54.6725674Z 2022-11-23T01:37:54.6725782Z if __name__ == "__main__": 2022-11-23T01:37:54.6725896Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6726006Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6726228Z arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6726419Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6726613Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6726803Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6727024Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6727212Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6727394Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6727621Z arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6727773Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6727779Z 2022-11-23T01:37:54.6727783Z 2022-11-23T01:37:54.6727877Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6727946Z import torch 2022-11-23T01:37:54.6728013Z import random 2022-11-23T01:37:54.6728126Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6728246Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6728251Z 2022-11-23T01:37:54.6728326Z aten = torch.ops.aten 2022-11-23T01:37:54.6728448Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6728538Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6728543Z 2022-11-23T01:37:54.6728548Z 2022-11-23T01:37:54.6728682Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.6728888Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.6729007Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.6729107Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.6729166Z { 2022-11-23T01:37:54.6729243Z #pragma GCC ivdep 2022-11-23T01:37:54.6729310Z for(long i0=0; i0<3; i0+=1) 2022-11-23T01:37:54.6729370Z { 2022-11-23T01:37:54.6729447Z #pragma GCC ivdep 2022-11-23T01:37:54.6729531Z for(long i1=0; i1<166375; i1+=1) 2022-11-23T01:37:54.6729594Z { 2022-11-23T01:37:54.6729656Z { 2022-11-23T01:37:54.6729719Z { 2022-11-23T01:37:54.6729809Z auto tmp0 = in_ptr0[i0 + (3*i1)]; 2022-11-23T01:37:54.6729904Z out_ptr0[i1 + (166375*i0)] = tmp0; 2022-11-23T01:37:54.6729967Z } 2022-11-23T01:37:54.6730028Z } 2022-11-23T01:37:54.6730089Z } 2022-11-23T01:37:54.6730149Z } 2022-11-23T01:37:54.6730196Z } 2022-11-23T01:37:54.6730275Z ''') 2022-11-23T01:37:54.6730283Z 2022-11-23T01:37:54.6730287Z 2022-11-23T01:37:54.6730374Z async_compile.wait(globals()) 2022-11-23T01:37:54.6730445Z del async_compile 2022-11-23T01:37:54.6730450Z 2022-11-23T01:37:54.6730521Z def call(args): 2022-11-23T01:37:54.6730637Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6730706Z args.clear() 2022-11-23T01:37:54.6730942Z buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6731064Z kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.6731133Z del arg7_1 2022-11-23T01:37:54.6731271Z buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 1) 2022-11-23T01:37:54.6731386Z assert_size_stride(buf1, (1, 32, 53, 53, 53), (4764064, 148877, 2809, 53, 1)) 2022-11-23T01:37:54.6731452Z del arg0_1 2022-11-23T01:37:54.6731519Z del arg1_1 2022-11-23T01:37:54.6731632Z return (buf1, ) 2022-11-23T01:37:54.6731638Z 2022-11-23T01:37:54.6731642Z 2022-11-23T01:37:54.6731717Z if __name__ == "__main__": 2022-11-23T01:37:54.6731818Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6731938Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6732159Z arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6732354Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6732545Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6732764Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6732953Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6733140Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6733310Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6733540Z arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6733692Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6733697Z 2022-11-23T01:37:54.6733701Z 2022-11-23T01:37:54.6733793Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6733861Z import torch 2022-11-23T01:37:54.6733931Z import random 2022-11-23T01:37:54.6734044Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6734162Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6734170Z 2022-11-23T01:37:54.6734235Z aten = torch.ops.aten 2022-11-23T01:37:54.6734370Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6734459Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6734464Z 2022-11-23T01:37:54.6734468Z 2022-11-23T01:37:54.6734555Z async_compile.wait(globals()) 2022-11-23T01:37:54.6734627Z del async_compile 2022-11-23T01:37:54.6734632Z 2022-11-23T01:37:54.6734700Z def call(args): 2022-11-23T01:37:54.6734816Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6734886Z args.clear() 2022-11-23T01:37:54.6735015Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4) 2022-11-23T01:37:54.6735132Z assert_size_stride(buf0, (1, 128, 53, 53, 53), (19056256, 148877, 2809, 53, 1)) 2022-11-23T01:37:54.6735198Z del arg0_1 2022-11-23T01:37:54.6735262Z del arg1_1 2022-11-23T01:37:54.6735327Z del arg7_1 2022-11-23T01:37:54.6735397Z return (buf0, ) 2022-11-23T01:37:54.6735401Z 2022-11-23T01:37:54.6735405Z 2022-11-23T01:37:54.6735478Z if __name__ == "__main__": 2022-11-23T01:37:54.6735581Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6735702Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6735923Z arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6736123Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6736322Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6736514Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6736705Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6736894Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6737067Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6737307Z arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6737463Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6737869Z [2022-11-23 01:31:15,914] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fi/cfiiz3sw7ji5ibt2tuewxyatbmckziut6z4qnguzegvb5mquwmvm.py 2022-11-23T01:37:54.6738146Z [2022-11-23 01:31:15,915] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 138 2022-11-23T01:37:54.6738391Z [2022-11-23 01:31:17,236] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6738666Z [2022-11-23 01:31:17,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6739100Z [2022-11-23 01:31:17,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6739422Z [2022-11-23 01:31:17,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6739692Z [2022-11-23 01:31:17,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6740015Z [2022-11-23 01:31:17,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6740266Z [2022-11-23 01:31:17,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6740504Z [2022-11-23 01:31:17,251] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6740761Z [2022-11-23 01:31:17,252] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6741012Z [2022-11-23 01:31:17,448] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6741210Z [2022-11-23 01:31:17,449] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6741345Z __compiled_fn_140 .1274 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6741433Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6741522Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6741623Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6741628Z 2022-11-23T01:37:54.6741909Z [2022-11-23 01:31:17,449] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6742004Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6742096Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6742189Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6742278Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6742357Z 8 RETURN_VALUE 2022-11-23T01:37:54.6742365Z 2022-11-23T01:37:54.6742414Z 2022-11-23T01:37:54.6742693Z [2022-11-23 01:31:17,449] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6742803Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_140) 2022-11-23T01:37:54.6742894Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6742987Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6743066Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6743156Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6743233Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6743309Z 12 RETURN_VALUE 2022-11-23T01:37:54.6743314Z 2022-11-23T01:37:54.6743374Z 2022-11-23T01:37:54.6743561Z [2022-11-23 01:31:17,450] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6743634Z - 2022-11-23T01:37:54.6743756Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6743821Z { 2022-11-23T01:37:54.6743955Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6744147Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6744269Z 'obj_weakref': None 2022-11-23T01:37:54.6744496Z 'guarded_class': 2022-11-23T01:37:54.6744601Z } 2022-11-23T01:37:54.6744669Z 2022-11-23T01:37:54.6744741Z - 2022-11-23T01:37:54.6744869Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6744920Z { 2022-11-23T01:37:54.6745068Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6745177Z 'code': None, 2022-11-23T01:37:54.6745392Z 'obj_weakref': 2022-11-23T01:37:54.6745649Z 'guarded_class': 2022-11-23T01:37:54.6745758Z } 2022-11-23T01:37:54.6745819Z 2022-11-23T01:37:54.6745877Z - 2022-11-23T01:37:54.6745998Z local 'model' NN_MODULE 2022-11-23T01:37:54.6746063Z { 2022-11-23T01:37:54.6746198Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6746369Z 'code': ['___check_obj_id(model, 140539049773456)'], 2022-11-23T01:37:54.6746595Z 'obj_weakref': 2022-11-23T01:37:54.6746832Z 'guarded_class': 2022-11-23T01:37:54.6746883Z } 2022-11-23T01:37:54.6746943Z 2022-11-23T01:37:54.6747011Z - 2022-11-23T01:37:54.6747133Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6747196Z { 2022-11-23T01:37:54.6747335Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6747554Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6747665Z 'obj_weakref': None 2022-11-23T01:37:54.6747886Z 'guarded_class': 2022-11-23T01:37:54.6747948Z } 2022-11-23T01:37:54.6748010Z 2022-11-23T01:37:54.6748082Z - 2022-11-23T01:37:54.6748316Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6748382Z { 2022-11-23T01:37:54.6748490Z 'guard_types': None, 2022-11-23T01:37:54.6748595Z 'code': None, 2022-11-23T01:37:54.6748717Z 'obj_weakref': None 2022-11-23T01:37:54.6748840Z 'guarded_class': None 2022-11-23T01:37:54.6748902Z } 2022-11-23T01:37:54.6748962Z 2022-11-23T01:37:54.6749019Z - 2022-11-23T01:37:54.6749165Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6749228Z { 2022-11-23T01:37:54.6749350Z 'guard_types': None, 2022-11-23T01:37:54.6749462Z 'code': None, 2022-11-23T01:37:54.6749582Z 'obj_weakref': None 2022-11-23T01:37:54.6749707Z 'guarded_class': None 2022-11-23T01:37:54.6749757Z } 2022-11-23T01:37:54.6749818Z 2022-11-23T01:37:54.6750084Z [2022-11-23 01:31:17,460] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 139 2022-11-23T01:37:54.6750460Z [2022-11-23 01:31:17,472] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/p4/cp4g25fghpn4dtrtfqpsdvciz44gr2yoiynbavqtc4lozex4vxde.py 2022-11-23T01:37:54.6750728Z [2022-11-23 01:31:17,472] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 139 2022-11-23T01:37:54.6750969Z [2022-11-23 01:31:18,608] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6751240Z [2022-11-23 01:31:18,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6751465Z [2022-11-23 01:31:18,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6751711Z [2022-11-23 01:31:18,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6752013Z [2022-11-23 01:31:18,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6752333Z [2022-11-23 01:31:18,608] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6752583Z [2022-11-23 01:31:18,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6752822Z [2022-11-23 01:31:18,623] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6753078Z [2022-11-23 01:31:18,624] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6753360Z [2022-11-23 01:31:18,685] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6753551Z [2022-11-23 01:31:18,685] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6753684Z __compiled_fn_141 .1285 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6753772Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6753863Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6753961Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6753966Z 2022-11-23T01:37:54.6754242Z [2022-11-23 01:31:18,686] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6754334Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6754423Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6754513Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6754602Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6754668Z 8 RETURN_VALUE 2022-11-23T01:37:54.6754684Z 2022-11-23T01:37:54.6754734Z 2022-11-23T01:37:54.6755010Z [2022-11-23 01:31:18,686] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6755119Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_141) 2022-11-23T01:37:54.6755208Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6755295Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6755372Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6755457Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6755536Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6755610Z 12 RETURN_VALUE 2022-11-23T01:37:54.6755615Z 2022-11-23T01:37:54.6755673Z 2022-11-23T01:37:54.6755857Z [2022-11-23 01:31:18,687] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6755930Z - 2022-11-23T01:37:54.6756051Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6756117Z { 2022-11-23T01:37:54.6756246Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6756434Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6756555Z 'obj_weakref': None 2022-11-23T01:37:54.6756782Z 'guarded_class': 2022-11-23T01:37:54.6756847Z } 2022-11-23T01:37:54.6756909Z 2022-11-23T01:37:54.6756978Z - 2022-11-23T01:37:54.6757092Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6757154Z { 2022-11-23T01:37:54.6757301Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6757411Z 'code': None, 2022-11-23T01:37:54.6757625Z 'obj_weakref': 2022-11-23T01:37:54.6757881Z 'guarded_class': 2022-11-23T01:37:54.6757945Z } 2022-11-23T01:37:54.6757996Z 2022-11-23T01:37:54.6758064Z - 2022-11-23T01:37:54.6758183Z local 'model' NN_MODULE 2022-11-23T01:37:54.6758245Z { 2022-11-23T01:37:54.6758380Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6758580Z 'code': ['___check_obj_id(model, 140538746556560)'], 2022-11-23T01:37:54.6758809Z 'obj_weakref': 2022-11-23T01:37:54.6759039Z 'guarded_class': 2022-11-23T01:37:54.6759102Z } 2022-11-23T01:37:54.6759168Z 2022-11-23T01:37:54.6759237Z - 2022-11-23T01:37:54.6759359Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6759422Z { 2022-11-23T01:37:54.6759558Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6759799Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6759919Z 'obj_weakref': None 2022-11-23T01:37:54.6760139Z 'guarded_class': 2022-11-23T01:37:54.6760201Z } 2022-11-23T01:37:54.6760263Z 2022-11-23T01:37:54.6760333Z - 2022-11-23T01:37:54.6760483Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6760533Z { 2022-11-23T01:37:54.6760654Z 'guard_types': None, 2022-11-23T01:37:54.6760761Z 'code': None, 2022-11-23T01:37:54.6760881Z 'obj_weakref': None 2022-11-23T01:37:54.6761003Z 'guarded_class': None 2022-11-23T01:37:54.6761065Z } 2022-11-23T01:37:54.6761124Z 2022-11-23T01:37:54.6761182Z - 2022-11-23T01:37:54.6761327Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6761392Z { 2022-11-23T01:37:54.6761513Z 'guard_types': None, 2022-11-23T01:37:54.6761621Z 'code': None, 2022-11-23T01:37:54.6761741Z 'obj_weakref': None 2022-11-23T01:37:54.6761863Z 'guarded_class': None 2022-11-23T01:37:54.6761913Z } 2022-11-23T01:37:54.6761973Z 2022-11-23T01:37:54.6762236Z [2022-11-23 01:31:18,697] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 140 2022-11-23T01:37:54.6762603Z [2022-11-23 01:31:18,702] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2d/c2dny33z2ywgm7ehimowpu726zvfz73i6tpu5kcqgyvqvi33v4ip.py 2022-11-23T01:37:54.6762868Z [2022-11-23 01:31:18,702] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 140 2022-11-23T01:37:54.6763110Z [2022-11-23 01:31:19,002] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6763379Z [2022-11-23 01:31:19,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6763602Z [2022-11-23 01:31:19,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6763834Z [2022-11-23 01:31:19,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6764112Z [2022-11-23 01:31:19,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6764429Z [2022-11-23 01:31:19,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6764679Z [2022-11-23 01:31:19,017] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6764915Z [2022-11-23 01:31:19,017] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6765170Z [2022-11-23 01:31:19,018] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6765425Z [2022-11-23 01:31:19,080] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6765616Z [2022-11-23 01:31:19,080] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6765784Z __compiled_fn_142 .1296 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6765863Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6765963Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6766060Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6766065Z 2022-11-23T01:37:54.6766344Z [2022-11-23 01:31:19,080] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6766437Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6766526Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6766617Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6766746Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6766810Z 8 RETURN_VALUE 2022-11-23T01:37:54.6766816Z 2022-11-23T01:37:54.6766876Z 2022-11-23T01:37:54.6767153Z [2022-11-23 01:31:19,080] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6767262Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_142) 2022-11-23T01:37:54.6767352Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6767441Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6767517Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6767591Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6767681Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6767755Z 12 RETURN_VALUE 2022-11-23T01:37:54.6767760Z 2022-11-23T01:37:54.6767818Z 2022-11-23T01:37:54.6768003Z [2022-11-23 01:31:19,081] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6768080Z - 2022-11-23T01:37:54.6768201Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6768253Z { 2022-11-23T01:37:54.6768395Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6768582Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6768704Z 'obj_weakref': None 2022-11-23T01:37:54.6768934Z 'guarded_class': 2022-11-23T01:37:54.6768999Z } 2022-11-23T01:37:54.6769063Z 2022-11-23T01:37:54.6769133Z - 2022-11-23T01:37:54.6769247Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6769310Z { 2022-11-23T01:37:54.6769455Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6769564Z 'code': None, 2022-11-23T01:37:54.6769776Z 'obj_weakref': 2022-11-23T01:37:54.6770037Z 'guarded_class': 2022-11-23T01:37:54.6770100Z } 2022-11-23T01:37:54.6770150Z 2022-11-23T01:37:54.6770219Z - 2022-11-23T01:37:54.6770339Z local 'model' NN_MODULE 2022-11-23T01:37:54.6770402Z { 2022-11-23T01:37:54.6770541Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6770713Z 'code': ['___check_obj_id(model, 140538746556560)'], 2022-11-23T01:37:54.6770939Z 'obj_weakref': 2022-11-23T01:37:54.6771165Z 'guarded_class': 2022-11-23T01:37:54.6771228Z } 2022-11-23T01:37:54.6771289Z 2022-11-23T01:37:54.6771359Z - 2022-11-23T01:37:54.6771481Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6771544Z { 2022-11-23T01:37:54.6771684Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6771892Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6772012Z 'obj_weakref': None 2022-11-23T01:37:54.6772234Z 'guarded_class': 2022-11-23T01:37:54.6772330Z } 2022-11-23T01:37:54.6772394Z 2022-11-23T01:37:54.6772466Z - 2022-11-23T01:37:54.6772612Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6772663Z { 2022-11-23T01:37:54.6772785Z 'guard_types': None, 2022-11-23T01:37:54.6772892Z 'code': None, 2022-11-23T01:37:54.6773010Z 'obj_weakref': None 2022-11-23T01:37:54.6773132Z 'guarded_class': None 2022-11-23T01:37:54.6773194Z } 2022-11-23T01:37:54.6773245Z 2022-11-23T01:37:54.6773313Z - 2022-11-23T01:37:54.6773492Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6773553Z { 2022-11-23T01:37:54.6773674Z 'guard_types': None, 2022-11-23T01:37:54.6773782Z 'code': None, 2022-11-23T01:37:54.6773900Z 'obj_weakref': None 2022-11-23T01:37:54.6774010Z 'guarded_class': None 2022-11-23T01:37:54.6774074Z } 2022-11-23T01:37:54.6774136Z 2022-11-23T01:37:54.6774400Z [2022-11-23 01:31:19,091] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 141 2022-11-23T01:37:54.6774772Z [2022-11-23 01:31:19,103] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fw/cfwu7ivod6ajkweuaigt6jmrkkdcdek2gx2wzfgmahbka5hj5tqa.py 2022-11-23T01:37:54.6775037Z [2022-11-23 01:31:19,103] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 141 2022-11-23T01:37:54.6775275Z [2022-11-23 01:31:19,557] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6775548Z [2022-11-23 01:31:19,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6775754Z [2022-11-23 01:31:19,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6776003Z [2022-11-23 01:31:19,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6776279Z [2022-11-23 01:31:19,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6776595Z [2022-11-23 01:31:19,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6776846Z [2022-11-23 01:31:19,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6777082Z [2022-11-23 01:31:19,573] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6777342Z [2022-11-23 01:31:19,574] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6777593Z [2022-11-23 01:31:19,746] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6777785Z [2022-11-23 01:31:19,747] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6777921Z __compiled_fn_143 .1307 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6777999Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6778095Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6778192Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6778197Z 2022-11-23T01:37:54.6778473Z [2022-11-23 01:31:19,747] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6778566Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6778656Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6778923Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6779050Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6779142Z 8 RETURN_VALUE 2022-11-23T01:37:54.6779147Z 2022-11-23T01:37:54.6779209Z 2022-11-23T01:37:54.6779552Z [2022-11-23 01:31:19,747] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6779664Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_143) 2022-11-23T01:37:54.6779756Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6779846Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6779925Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6779999Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6780091Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6780167Z 12 RETURN_VALUE 2022-11-23T01:37:54.6780172Z 2022-11-23T01:37:54.6780232Z 2022-11-23T01:37:54.6780462Z [2022-11-23 01:31:19,748] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6780536Z - 2022-11-23T01:37:54.6780658Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6780710Z { 2022-11-23T01:37:54.6780855Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6781049Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6781171Z 'obj_weakref': None 2022-11-23T01:37:54.6787550Z 'guarded_class': 2022-11-23T01:37:54.6787634Z } 2022-11-23T01:37:54.6787698Z 2022-11-23T01:37:54.6787786Z - 2022-11-23T01:37:54.6787926Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6787989Z { 2022-11-23T01:37:54.6788215Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6788336Z 'code': None, 2022-11-23T01:37:54.6788557Z 'obj_weakref': 2022-11-23T01:37:54.6788821Z 'guarded_class': 2022-11-23T01:37:54.6788885Z } 2022-11-23T01:37:54.6788947Z 2022-11-23T01:37:54.6789017Z - 2022-11-23T01:37:54.6789132Z local 'model' NN_MODULE 2022-11-23T01:37:54.6789200Z { 2022-11-23T01:37:54.6789340Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6789517Z 'code': ['___check_obj_id(model, 140538913352080)'], 2022-11-23T01:37:54.6789743Z 'obj_weakref': 2022-11-23T01:37:54.6789982Z 'guarded_class': 2022-11-23T01:37:54.6790048Z } 2022-11-23T01:37:54.6790098Z 2022-11-23T01:37:54.6790171Z - 2022-11-23T01:37:54.6790298Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6790364Z { 2022-11-23T01:37:54.6790505Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6790726Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6790847Z 'obj_weakref': None 2022-11-23T01:37:54.6791061Z 'guarded_class': 2022-11-23T01:37:54.6791128Z } 2022-11-23T01:37:54.6791190Z 2022-11-23T01:37:54.6791260Z - 2022-11-23T01:37:54.6791409Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6791473Z { 2022-11-23T01:37:54.6791597Z 'guard_types': None, 2022-11-23T01:37:54.6791694Z 'code': None, 2022-11-23T01:37:54.6791812Z 'obj_weakref': None 2022-11-23T01:37:54.6791934Z 'guarded_class': None 2022-11-23T01:37:54.6791997Z } 2022-11-23T01:37:54.6792063Z 2022-11-23T01:37:54.6792133Z - 2022-11-23T01:37:54.6792280Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6792331Z { 2022-11-23T01:37:54.6792451Z 'guard_types': None, 2022-11-23T01:37:54.6792560Z 'code': None, 2022-11-23T01:37:54.6792680Z 'obj_weakref': None 2022-11-23T01:37:54.6792900Z 'guarded_class': None 2022-11-23T01:37:54.6792966Z } 2022-11-23T01:37:54.6793017Z 2022-11-23T01:37:54.6793286Z [2022-11-23 01:31:19,760] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 142 2022-11-23T01:37:54.6793659Z [2022-11-23 01:31:19,765] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tq/ctqzpig3sjl3xvzyap6wdlrf42a7khowpaaq37r5xtpqtzayznvq.py 2022-11-23T01:37:54.6793930Z [2022-11-23 01:31:19,765] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 142 2022-11-23T01:37:54.6794173Z [2022-11-23 01:31:20,939] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6794522Z [2022-11-23 01:31:20,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6794744Z [2022-11-23 01:31:20,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6794998Z [2022-11-23 01:31:20,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6795280Z [2022-11-23 01:31:20,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6795598Z [2022-11-23 01:31:20,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6795836Z [2022-11-23 01:31:20,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.6796072Z [2022-11-23 01:31:20,954] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6796328Z [2022-11-23 01:31:20,955] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6796580Z [2022-11-23 01:31:21,132] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6796774Z [2022-11-23 01:31:21,133] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6796909Z __compiled_fn_144 .1318 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6796997Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6797096Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6797182Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.6797193Z 2022-11-23T01:37:54.6797473Z [2022-11-23 01:31:21,133] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6797564Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6797656Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6797748Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6797836Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6797911Z 8 RETURN_VALUE 2022-11-23T01:37:54.6797916Z 2022-11-23T01:37:54.6797975Z 2022-11-23T01:37:54.6798242Z [2022-11-23 01:31:21,133] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6798351Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_144) 2022-11-23T01:37:54.6798441Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6798529Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6798606Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6798691Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6798780Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.6798841Z 12 RETURN_VALUE 2022-11-23T01:37:54.6798848Z 2022-11-23T01:37:54.6798907Z 2022-11-23T01:37:54.6799093Z [2022-11-23 01:31:21,134] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6799178Z - 2022-11-23T01:37:54.6799297Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6799359Z { 2022-11-23T01:37:54.6799502Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6799710Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6799835Z 'obj_weakref': None 2022-11-23T01:37:54.6800060Z 'guarded_class': 2022-11-23T01:37:54.6800126Z } 2022-11-23T01:37:54.6800188Z 2022-11-23T01:37:54.6800259Z - 2022-11-23T01:37:54.6800385Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6800436Z { 2022-11-23T01:37:54.6800579Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6800687Z 'code': None, 2022-11-23T01:37:54.6800951Z 'obj_weakref': 2022-11-23T01:37:54.6801211Z 'guarded_class': 2022-11-23T01:37:54.6801275Z } 2022-11-23T01:37:54.6801335Z 2022-11-23T01:37:54.6801394Z - 2022-11-23T01:37:54.6801518Z local 'model' NN_MODULE 2022-11-23T01:37:54.6801582Z { 2022-11-23T01:37:54.6801719Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6801890Z 'code': ['___check_obj_id(model, 140538913352080)'], 2022-11-23T01:37:54.6802115Z 'obj_weakref': 2022-11-23T01:37:54.6802355Z 'guarded_class': 2022-11-23T01:37:54.6802417Z } 2022-11-23T01:37:54.6802467Z 2022-11-23T01:37:54.6802539Z - 2022-11-23T01:37:54.6802664Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6802726Z { 2022-11-23T01:37:54.6802864Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6803088Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6803211Z 'obj_weakref': None 2022-11-23T01:37:54.6803422Z 'guarded_class': 2022-11-23T01:37:54.6803485Z } 2022-11-23T01:37:54.6803548Z 2022-11-23T01:37:54.6803618Z - 2022-11-23T01:37:54.6803767Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6803829Z { 2022-11-23T01:37:54.6803939Z 'guard_types': None, 2022-11-23T01:37:54.6804048Z 'code': None, 2022-11-23T01:37:54.6804166Z 'obj_weakref': None 2022-11-23T01:37:54.6804289Z 'guarded_class': None 2022-11-23T01:37:54.6804353Z } 2022-11-23T01:37:54.6804415Z 2022-11-23T01:37:54.6804487Z - 2022-11-23T01:37:54.6804620Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6804684Z { 2022-11-23T01:37:54.6804808Z 'guard_types': None, 2022-11-23T01:37:54.6804916Z 'code': None, 2022-11-23T01:37:54.6805038Z 'obj_weakref': None 2022-11-23T01:37:54.6805160Z 'guarded_class': None 2022-11-23T01:37:54.6805222Z } 2022-11-23T01:37:54.6805270Z 2022-11-23T01:37:54.6805534Z [2022-11-23 01:31:21,144] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 143 2022-11-23T01:37:54.6805539Z 2022-11-23T01:37:54.6805544Z 2022-11-23T01:37:54.6805637Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6805706Z import torch 2022-11-23T01:37:54.6805773Z import random 2022-11-23T01:37:54.6805889Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6806015Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6806020Z 2022-11-23T01:37:54.6806096Z aten = torch.ops.aten 2022-11-23T01:37:54.6806217Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6806307Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6806312Z 2022-11-23T01:37:54.6806317Z 2022-11-23T01:37:54.6806491Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.6806699Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.6806818Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.6806916Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.6806978Z { 2022-11-23T01:37:54.6807041Z #pragma GCC ivdep 2022-11-23T01:37:54.6807124Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:37:54.6807183Z { 2022-11-23T01:37:54.6807262Z #pragma GCC ivdep 2022-11-23T01:37:54.6807348Z for(long i1=0; i1<166375; i1+=1) 2022-11-23T01:37:54.6807441Z { 2022-11-23T01:37:54.6807503Z { 2022-11-23T01:37:54.6807553Z { 2022-11-23T01:37:54.6807652Z auto tmp0 = in_ptr0[i0 + (12*i1)]; 2022-11-23T01:37:54.6807746Z out_ptr0[i1 + (166375*i0)] = tmp0; 2022-11-23T01:37:54.6807808Z } 2022-11-23T01:37:54.6807870Z } 2022-11-23T01:37:54.6807934Z } 2022-11-23T01:37:54.6807994Z } 2022-11-23T01:37:54.6808040Z } 2022-11-23T01:37:54.6808122Z ''') 2022-11-23T01:37:54.6808127Z 2022-11-23T01:37:54.6808131Z 2022-11-23T01:37:54.6808219Z async_compile.wait(globals()) 2022-11-23T01:37:54.6808289Z del async_compile 2022-11-23T01:37:54.6808294Z 2022-11-23T01:37:54.6808362Z def call(args): 2022-11-23T01:37:54.6808482Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6808551Z args.clear() 2022-11-23T01:37:54.6808781Z buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6808917Z kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.6808984Z del arg7_1 2022-11-23T01:37:54.6809124Z buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (1, 1, 1), False, (0, 0, 0), 4) 2022-11-23T01:37:54.6809245Z assert_size_stride(buf1, (1, 128, 53, 53, 53), (19056256, 148877, 2809, 53, 1)) 2022-11-23T01:37:54.6809312Z del arg0_1 2022-11-23T01:37:54.6809377Z del arg1_1 2022-11-23T01:37:54.6809446Z return (buf1, ) 2022-11-23T01:37:54.6809450Z 2022-11-23T01:37:54.6809454Z 2022-11-23T01:37:54.6809518Z if __name__ == "__main__": 2022-11-23T01:37:54.6809630Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6809752Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6809978Z arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6810177Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6810379Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6810572Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6810764Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6810942Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6811123Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6811362Z arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6811519Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6811525Z 2022-11-23T01:37:54.6811529Z 2022-11-23T01:37:54.6811623Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6811692Z import torch 2022-11-23T01:37:54.6811765Z import random 2022-11-23T01:37:54.6811879Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6811987Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6811991Z 2022-11-23T01:37:54.6812069Z aten = torch.ops.aten 2022-11-23T01:37:54.6812202Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6812321Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6812327Z 2022-11-23T01:37:54.6812331Z 2022-11-23T01:37:54.6812420Z async_compile.wait(globals()) 2022-11-23T01:37:54.6812490Z del async_compile 2022-11-23T01:37:54.6812495Z 2022-11-23T01:37:54.6812564Z def call(args): 2022-11-23T01:37:54.6812681Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6812738Z args.clear() 2022-11-23T01:37:54.6812878Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1) 2022-11-23T01:37:54.6812995Z assert_size_stride(buf0, (1, 32, 51, 51, 51), (4244832, 132651, 2601, 51, 1)) 2022-11-23T01:37:54.6813093Z del arg0_1 2022-11-23T01:37:54.6813161Z del arg1_1 2022-11-23T01:37:54.6813225Z del arg7_1 2022-11-23T01:37:54.6813295Z return (buf0, ) 2022-11-23T01:37:54.6813300Z 2022-11-23T01:37:54.6813304Z 2022-11-23T01:37:54.6813379Z if __name__ == "__main__": 2022-11-23T01:37:54.6813482Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6813603Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6813826Z arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6814024Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6814223Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6814416Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6814604Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6814793Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6814963Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6815198Z arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6815357Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6815362Z 2022-11-23T01:37:54.6815366Z 2022-11-23T01:37:54.6815461Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6815529Z import torch 2022-11-23T01:37:54.6815599Z import random 2022-11-23T01:37:54.6815715Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6815834Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6815839Z 2022-11-23T01:37:54.6815904Z aten = torch.ops.aten 2022-11-23T01:37:54.6816035Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6816136Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6816141Z 2022-11-23T01:37:54.6816145Z 2022-11-23T01:37:54.6816278Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.6816480Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.6816589Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.6816689Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.6816748Z { 2022-11-23T01:37:54.6816822Z #pragma GCC ivdep 2022-11-23T01:37:54.6816901Z for(long i0=0; i0<3; i0+=1) 2022-11-23T01:37:54.6816962Z { 2022-11-23T01:37:54.6817039Z #pragma GCC ivdep 2022-11-23T01:37:54.6817113Z for(long i1=0; i1<166375; i1+=1) 2022-11-23T01:37:54.6817173Z { 2022-11-23T01:37:54.6817235Z { 2022-11-23T01:37:54.6817299Z { 2022-11-23T01:37:54.6817396Z auto tmp0 = in_ptr0[i0 + (3*i1)]; 2022-11-23T01:37:54.6817493Z out_ptr0[i1 + (166375*i0)] = tmp0; 2022-11-23T01:37:54.6817555Z } 2022-11-23T01:37:54.6817604Z } 2022-11-23T01:37:54.6817665Z } 2022-11-23T01:37:54.6817726Z } 2022-11-23T01:37:54.6817783Z } 2022-11-23T01:37:54.6817864Z ''') 2022-11-23T01:37:54.6817869Z 2022-11-23T01:37:54.6817873Z 2022-11-23T01:37:54.6817993Z async_compile.wait(globals()) 2022-11-23T01:37:54.6818067Z del async_compile 2022-11-23T01:37:54.6818072Z 2022-11-23T01:37:54.6818131Z def call(args): 2022-11-23T01:37:54.6818248Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6818318Z args.clear() 2022-11-23T01:37:54.6818557Z buf0 = empty_strided((1, 3, 55, 55, 55), (499125, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6818692Z kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.6818939Z del arg7_1 2022-11-23T01:37:54.6819152Z buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 1) 2022-11-23T01:37:54.6819324Z assert_size_stride(buf1, (1, 32, 51, 51, 51), (4244832, 132651, 2601, 51, 1)) 2022-11-23T01:37:54.6819391Z del arg0_1 2022-11-23T01:37:54.6819458Z del arg1_1 2022-11-23T01:37:54.6819530Z return (buf1, ) 2022-11-23T01:37:54.6819536Z 2022-11-23T01:37:54.6819541Z 2022-11-23T01:37:54.6819621Z if __name__ == "__main__": 2022-11-23T01:37:54.6819735Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6819856Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6820088Z arg0_1 = rand_strided((32, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6820273Z arg1_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6820466Z arg2_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6820658Z arg3_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6820851Z arg4_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6821041Z arg5_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6821227Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6821463Z arg7_1 = rand_strided((1, 3, 55, 55, 55), (499125, 1, 9075, 165, 3), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6821623Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6821627Z 2022-11-23T01:37:54.6821632Z 2022-11-23T01:37:54.6821731Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6821787Z import torch 2022-11-23T01:37:54.6821858Z import random 2022-11-23T01:37:54.6821973Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6822094Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6822100Z 2022-11-23T01:37:54.6822182Z aten = torch.ops.aten 2022-11-23T01:37:54.6822313Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6822405Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6822411Z 2022-11-23T01:37:54.6822415Z 2022-11-23T01:37:54.6822501Z async_compile.wait(globals()) 2022-11-23T01:37:54.6822561Z del async_compile 2022-11-23T01:37:54.6822566Z 2022-11-23T01:37:54.6822639Z def call(args): 2022-11-23T01:37:54.6822758Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6822830Z args.clear() 2022-11-23T01:37:54.6822971Z buf0 = aten.convolution(arg7_1, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4) 2022-11-23T01:37:54.6823092Z assert_size_stride(buf0, (1, 128, 51, 51, 51), (16979328, 132651, 2601, 51, 1)) 2022-11-23T01:37:54.6823163Z del arg0_1 2022-11-23T01:37:54.6823216Z del arg1_1 2022-11-23T01:37:54.6823282Z del arg7_1 2022-11-23T01:37:54.6823355Z return (buf0, ) 2022-11-23T01:37:54.6823362Z 2022-11-23T01:37:54.6823366Z 2022-11-23T01:37:54.6823444Z if __name__ == "__main__": 2022-11-23T01:37:54.6823558Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6823681Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6823905Z arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6824149Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6824338Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6824533Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6824727Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6824920Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6825102Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6825378Z arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6825535Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6825540Z 2022-11-23T01:37:54.6825544Z 2022-11-23T01:37:54.6825642Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6825702Z import torch 2022-11-23T01:37:54.6825773Z import random 2022-11-23T01:37:54.6825888Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6826010Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6826015Z 2022-11-23T01:37:54.6826094Z aten = torch.ops.aten 2022-11-23T01:37:54.6826224Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6826314Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6826319Z 2022-11-23T01:37:54.6826323Z 2022-11-23T01:37:54.6826459Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.6826653Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.6826772Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.6826870Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.6826929Z { 2022-11-23T01:37:54.6827004Z #pragma GCC ivdep 2022-11-23T01:37:54.6827087Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:37:54.6827148Z { 2022-11-23T01:37:54.6827214Z #pragma GCC ivdep 2022-11-23T01:37:54.6827296Z for(long i1=0; i1<166375; i1+=1) 2022-11-23T01:37:54.6827357Z { 2022-11-23T01:37:54.6827419Z { 2022-11-23T01:37:54.6827482Z { 2022-11-23T01:37:54.6827579Z auto tmp0 = in_ptr0[i0 + (12*i1)]; 2022-11-23T01:37:54.6827673Z out_ptr0[i1 + (166375*i0)] = tmp0; 2022-11-23T01:37:54.6827724Z } 2022-11-23T01:37:54.6827785Z } 2022-11-23T01:37:54.6827844Z } 2022-11-23T01:37:54.6827906Z } 2022-11-23T01:37:54.6827964Z } 2022-11-23T01:37:54.6828043Z ''') 2022-11-23T01:37:54.6828048Z 2022-11-23T01:37:54.6828052Z 2022-11-23T01:37:54.6828231Z async_compile.wait(globals()) 2022-11-23T01:37:54.6828296Z del async_compile 2022-11-23T01:37:54.6828301Z 2022-11-23T01:37:54.6828370Z def call(args): 2022-11-23T01:37:54.6828489Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1 = args 2022-11-23T01:37:54.6828561Z args.clear() 2022-11-23T01:37:54.6828804Z buf0 = empty_strided((1, 12, 55, 55, 55), (1996500, 166375, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6828942Z kernel_cpp_0(c_void_p(arg7_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.6829009Z del arg7_1 2022-11-23T01:37:54.6829137Z buf1 = aten.convolution(buf0, arg0_1, arg1_1, (1, 1, 1), (0, 0, 0), (2, 2, 2), False, (0, 0, 0), 4) 2022-11-23T01:37:54.6829253Z assert_size_stride(buf1, (1, 128, 51, 51, 51), (16979328, 132651, 2601, 51, 1)) 2022-11-23T01:37:54.6829322Z del arg0_1 2022-11-23T01:37:54.6829388Z del arg1_1 2022-11-23T01:37:54.6829460Z return (buf1, ) 2022-11-23T01:37:54.6829464Z 2022-11-23T01:37:54.6829468Z 2022-11-23T01:37:54.6829545Z if __name__ == "__main__": 2022-11-23T01:37:54.6829657Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6829780Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6830029Z arg0_1 = rand_strided((128, 3, 3, 3, 3), (81, 27, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6830229Z arg1_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6830423Z arg2_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6830615Z arg3_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6830806Z arg4_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6830996Z arg5_1 = rand_strided((128, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6831212Z arg6_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6831450Z arg7_1 = rand_strided((1, 12, 55, 55, 55), (1996500, 1, 36300, 660, 12), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6831594Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1])) 2022-11-23T01:37:54.6831966Z [2022-11-23 01:31:21,155] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/66/c66q6ydwv2sumfz2kr7cgham6vqogra2wq63mmt6ajxuxonmqhc7.py 2022-11-23T01:37:54.6832236Z [2022-11-23 01:31:21,155] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 143 2022-11-23T01:37:54.6832242Z 2022-11-23T01:37:54.6832310Z ok (38.082s) 2022-11-23T01:37:54.6832624Z test_convolution1_cpu (__main__.CpuTests) ... [2022-11-23 01:31:22,127] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6832896Z [2022-11-23 01:31:22,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6833118Z [2022-11-23 01:31:22,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6833365Z [2022-11-23 01:31:22,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.6833647Z [2022-11-23 01:31:22,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.6833965Z [2022-11-23 01:31:22,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6834286Z [2022-11-23 01:31:22,132] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.6834378Z 170 0 LOAD_FAST 1 (x) 2022-11-23T01:37:54.6834468Z 2 BUILD_TUPLE 1 2022-11-23T01:37:54.6834548Z 4 RETURN_VALUE 2022-11-23T01:37:54.6834607Z 2022-11-23T01:37:54.6834613Z 2022-11-23T01:37:54.6834879Z [2022-11-23 01:31:22,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:170 2022-11-23T01:37:54.6835090Z [2022-11-23 01:31:22,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.6835335Z [2022-11-23 01:31:22,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:54.6835572Z [2022-11-23 01:31:22,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.6835911Z [2022-11-23 01:31:22,132] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.6836156Z [2022-11-23 01:31:22,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.6836398Z [2022-11-23 01:31:22,133] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6836654Z [2022-11-23 01:31:22,134] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6836905Z [2022-11-23 01:31:22,140] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6837127Z [2022-11-23 01:31:22,140] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6837263Z __compiled_fn_145 .1324 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6837352Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6837440Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.6837540Z call_module, model_1, model_1, (model_0,), {} 2022-11-23T01:37:54.6837637Z output, output, output, ((model_1,),), {} 2022-11-23T01:37:54.6837642Z 2022-11-23T01:37:54.6837922Z [2022-11-23 01:31:22,140] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6838044Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6838134Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6838226Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6838314Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6838379Z 8 RETURN_VALUE 2022-11-23T01:37:54.6838384Z 2022-11-23T01:37:54.6838442Z 2022-11-23T01:37:54.6838720Z [2022-11-23 01:31:22,140] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6838827Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_145) 2022-11-23T01:37:54.6838916Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6839005Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6839082Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6839157Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6839263Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.6839362Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.6839449Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6839524Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.6839609Z 18 BUILD_TUPLE 1 2022-11-23T01:37:54.6839684Z 20 RETURN_VALUE 2022-11-23T01:37:54.6839690Z 2022-11-23T01:37:54.6839747Z 2022-11-23T01:37:54.6839918Z [2022-11-23 01:31:22,141] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6839989Z - 2022-11-23T01:37:54.6840107Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6840172Z { 2022-11-23T01:37:54.6840313Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6840503Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6840625Z 'obj_weakref': None 2022-11-23T01:37:54.6840840Z 'guarded_class': 2022-11-23T01:37:54.6840907Z } 2022-11-23T01:37:54.6840969Z 2022-11-23T01:37:54.6841039Z - 2022-11-23T01:37:54.6841164Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6841226Z { 2022-11-23T01:37:54.6841368Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6841467Z 'code': None, 2022-11-23T01:37:54.6841682Z 'obj_weakref': 2022-11-23T01:37:54.6841938Z 'guarded_class': 2022-11-23T01:37:54.6842000Z } 2022-11-23T01:37:54.6842062Z 2022-11-23T01:37:54.6842132Z - 2022-11-23T01:37:54.6842252Z local 'model' NN_MODULE 2022-11-23T01:37:54.6842301Z { 2022-11-23T01:37:54.6842439Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6842615Z 'code': ['___check_obj_id(model, 140539203571664)'], 2022-11-23T01:37:54.6842838Z 'obj_weakref': 2022-11-23T01:37:54.6843077Z 'guarded_class': 2022-11-23T01:37:54.6843139Z } 2022-11-23T01:37:54.6843234Z 2022-11-23T01:37:54.6843294Z - 2022-11-23T01:37:54.6843417Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6843482Z { 2022-11-23T01:37:54.6843621Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6843840Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6843960Z 'obj_weakref': None 2022-11-23T01:37:54.6844183Z 'guarded_class': 2022-11-23T01:37:54.6844233Z } 2022-11-23T01:37:54.6844335Z 2022-11-23T01:37:54.6844406Z - 2022-11-23T01:37:54.6844552Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.6844614Z { 2022-11-23T01:37:54.6844734Z 'guard_types': None, 2022-11-23T01:37:54.6844842Z 'code': None, 2022-11-23T01:37:54.6844949Z 'obj_weakref': None 2022-11-23T01:37:54.6845074Z 'guarded_class': None 2022-11-23T01:37:54.6845135Z } 2022-11-23T01:37:54.6845197Z 2022-11-23T01:37:54.6845268Z - 2022-11-23T01:37:54.6845415Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.6845464Z { 2022-11-23T01:37:54.6845585Z 'guard_types': None, 2022-11-23T01:37:54.6845692Z 'code': None, 2022-11-23T01:37:54.6845812Z 'obj_weakref': None 2022-11-23T01:37:54.6845935Z 'guarded_class': None 2022-11-23T01:37:54.6845998Z } 2022-11-23T01:37:54.6846059Z 2022-11-23T01:37:54.6846119Z - 2022-11-23T01:37:54.6846263Z local_nn_module 'model[2]' NN_MODULE 2022-11-23T01:37:54.6846326Z { 2022-11-23T01:37:54.6846446Z 'guard_types': None, 2022-11-23T01:37:54.6846553Z 'code': None, 2022-11-23T01:37:54.6846672Z 'obj_weakref': None 2022-11-23T01:37:54.6846793Z 'guarded_class': None 2022-11-23T01:37:54.6846845Z } 2022-11-23T01:37:54.6846904Z 2022-11-23T01:37:54.6847167Z [2022-11-23 01:31:22,167] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 144 2022-11-23T01:37:54.6847542Z [2022-11-23 01:31:23,547] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hw/chwnsrfdyhyovbjvinqulenvry7ly56k3v7bbh4euk5mtbyw32uj.py 2022-11-23T01:37:54.6847809Z [2022-11-23 01:31:23,547] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 144 2022-11-23T01:37:54.6847815Z 2022-11-23T01:37:54.6847910Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6847980Z import torch 2022-11-23T01:37:54.6848047Z import random 2022-11-23T01:37:54.6848150Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6848270Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6848275Z 2022-11-23T01:37:54.6848351Z aten = torch.ops.aten 2022-11-23T01:37:54.6848485Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6848575Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6848580Z 2022-11-23T01:37:54.6848585Z 2022-11-23T01:37:54.6848719Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.6848924Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.6849039Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:37:54.6849124Z bool* __restrict__ out_ptr0) 2022-11-23T01:37:54.6849183Z { 2022-11-23T01:37:54.6849258Z #pragma GCC ivdep 2022-11-23T01:37:54.6849341Z for(long i0=0; i0<2352; i0+=1) 2022-11-23T01:37:54.6849401Z { 2022-11-23T01:37:54.6849462Z { 2022-11-23T01:37:54.6849522Z { 2022-11-23T01:37:54.6849604Z auto tmp0 = in_out_ptr0[i0]; 2022-11-23T01:37:54.6849694Z auto tmp1 = tmp0 * (tmp0>0); 2022-11-23T01:37:54.6849793Z auto tmp2 = static_cast(0); 2022-11-23T01:37:54.6849908Z auto tmp3 = tmp1 <= tmp2; 2022-11-23T01:37:54.6849993Z in_out_ptr0[i0] = tmp1; 2022-11-23T01:37:54.6850076Z out_ptr0[i0] = tmp3; 2022-11-23T01:37:54.6850125Z } 2022-11-23T01:37:54.6850185Z } 2022-11-23T01:37:54.6850245Z } 2022-11-23T01:37:54.6850303Z } 2022-11-23T01:37:54.6850382Z ''') 2022-11-23T01:37:54.6850387Z 2022-11-23T01:37:54.6850391Z 2022-11-23T01:37:54.6850480Z async_compile.wait(globals()) 2022-11-23T01:37:54.6850552Z del async_compile 2022-11-23T01:37:54.6850557Z 2022-11-23T01:37:54.6850626Z def call(args): 2022-11-23T01:37:54.6850745Z primals_1, primals_2, primals_3 = args 2022-11-23T01:37:54.6850820Z args.clear() 2022-11-23T01:37:54.6850976Z buf0 = aten.convolution(primals_3, primals_1, primals_2, (1, 1), (0, 0), (1, 1), False, (0, 0), 1) 2022-11-23T01:37:54.6851082Z assert_size_stride(buf0, (2, 6, 14, 14), (1176, 196, 14, 1)) 2022-11-23T01:37:54.6851153Z del primals_2 2022-11-23T01:37:54.6851274Z buf1 = as_strided(buf0, (2, 6, 14, 14), (1176, 196, 14, 1)); del buf0 # reuse 2022-11-23T01:37:54.6851493Z buf2 = empty_strided((2, 6, 14, 14), (1176, 196, 14, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.6851614Z kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:37:54.6851717Z return (buf1, primals_1, primals_3, buf2, ) 2022-11-23T01:37:54.6851722Z 2022-11-23T01:37:54.6851726Z 2022-11-23T01:37:54.6851800Z if __name__ == "__main__": 2022-11-23T01:37:54.6851911Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6852036Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6852260Z primals_1 = rand_strided((6, 5, 3, 3), (45, 9, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6852464Z primals_2 = rand_strided((6, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6852694Z primals_3 = rand_strided((2, 5, 16, 16), (1280, 256, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6852831Z print_performance(lambda: call([primals_1, primals_2, primals_3])) 2022-11-23T01:37:54.6852836Z 2022-11-23T01:37:54.6852890Z ok (1.428s) 2022-11-23T01:37:54.6853209Z test_convolution2_cpu (__main__.CpuTests) ... [2022-11-23 01:31:23,556] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6853480Z [2022-11-23 01:31:23,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6853703Z [2022-11-23 01:31:23,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6853964Z [2022-11-23 01:31:23,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.6854251Z [2022-11-23 01:31:23,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.6854577Z [2022-11-23 01:31:23,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6854907Z [2022-11-23 01:31:23,557] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.6855002Z 1827 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.6855093Z 2 LOAD_METHOD 1 (convolution) 2022-11-23T01:37:54.6855182Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:54.6855273Z 6 LOAD_FAST 1 (w) 2022-11-23T01:37:54.6855362Z 8 LOAD_FAST 2 (b) 2022-11-23T01:37:54.6855448Z 10 LOAD_CONST 1 (4) 2022-11-23T01:37:54.6855534Z 12 BUILD_LIST 1 2022-11-23T01:37:54.6855622Z 14 LOAD_CONST 2 (0) 2022-11-23T01:37:54.6855695Z 16 BUILD_LIST 1 2022-11-23T01:37:54.6855810Z 18 LOAD_CONST 3 (1) 2022-11-23T01:37:54.6855899Z 20 BUILD_LIST 1 2022-11-23T01:37:54.6855990Z 22 LOAD_CONST 4 (True) 2022-11-23T01:37:54.6856079Z 24 LOAD_CONST 2 (0) 2022-11-23T01:37:54.6856164Z 26 BUILD_LIST 1 2022-11-23T01:37:54.6856249Z 28 LOAD_CONST 3 (1) 2022-11-23T01:37:54.6856325Z 30 CALL_METHOD 9 2022-11-23T01:37:54.6856410Z 32 BUILD_TUPLE 1 2022-11-23T01:37:54.6856485Z 34 RETURN_VALUE 2022-11-23T01:37:54.6856573Z 2022-11-23T01:37:54.6856578Z 2022-11-23T01:37:54.6856853Z [2022-11-23 01:31:23,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1827 2022-11-23T01:37:54.6857075Z [2022-11-23 01:31:23,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.6857399Z [2022-11-23 01:31:23,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convolution [TorchVariable()] 2022-11-23T01:37:54.6857667Z [2022-11-23 01:31:23,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.convolution)] 2022-11-23T01:37:54.6857961Z [2022-11-23 01:31:23,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST w [TorchVariable(aten.convolution), TensorVariable()] 2022-11-23T01:37:54.6858272Z [2022-11-23 01:31:23,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.convolution), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.6858628Z [2022-11-23 01:31:23,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.6859238Z [2022-11-23 01:31:23,563] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.6859621Z [2022-11-23 01:31:23,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:37:54.6860037Z [2022-11-23 01:31:23,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.6860438Z [2022-11-23 01:31:23,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:54.6860878Z [2022-11-23 01:31:23,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.6861307Z [2022-11-23 01:31:23,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:54.6861773Z [2022-11-23 01:31:23,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:37:54.6862283Z [2022-11-23 01:31:23,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(int)] 2022-11-23T01:37:54.6862839Z [2022-11-23 01:31:23,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable()] 2022-11-23T01:37:54.6863379Z [2022-11-23 01:31:23,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 9 [TorchVariable(aten.convolution), TensorVariable(), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.6863628Z [2022-11-23 01:31:23,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:54.6863879Z [2022-11-23 01:31:23,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.6864261Z [2022-11-23 01:31:23,566] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.6864499Z [2022-11-23 01:31:23,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.6864744Z [2022-11-23 01:31:23,566] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6865001Z [2022-11-23 01:31:23,567] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6865259Z [2022-11-23 01:31:23,571] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6865453Z [2022-11-23 01:31:23,571] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6865590Z __compiled_fn_146 .1335 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6865683Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6865774Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.6865847Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:37:54.6866004Z call_function, convolution, aten.convolution, (ex_0_, ex_1_, ex_2_, [4], [0], [1], True, [0], 1), {} 2022-11-23T01:37:54.6866113Z output, output, output, ((convolution,),), {} 2022-11-23T01:37:54.6866119Z 2022-11-23T01:37:54.6866401Z [2022-11-23 01:31:23,572] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6866497Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6866589Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6866684Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6866777Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6866841Z 8 RETURN_VALUE 2022-11-23T01:37:54.6866860Z 2022-11-23T01:37:54.6866907Z 2022-11-23T01:37:54.6867184Z [2022-11-23 01:31:23,572] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6867297Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_146) 2022-11-23T01:37:54.6867386Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6867475Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6867552Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6867644Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6867718Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.6867795Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.6867882Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6867969Z 16 LOAD_CONST 3 (2) 2022-11-23T01:37:54.6868042Z 18 BINARY_SUBSCR 2022-11-23T01:37:54.6868210Z 20 CALL_FUNCTION 3 2022-11-23T01:37:54.6868324Z 22 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.6868414Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.6868506Z 26 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6868582Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.6868670Z 30 BUILD_TUPLE 1 2022-11-23T01:37:54.6868746Z 32 RETURN_VALUE 2022-11-23T01:37:54.6868750Z 2022-11-23T01:37:54.6868810Z 2022-11-23T01:37:54.6869041Z [2022-11-23 01:31:23,573] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6869104Z - 2022-11-23T01:37:54.6869226Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6869290Z { 2022-11-23T01:37:54.6869433Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6869626Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 3'], 2022-11-23T01:37:54.6869752Z 'obj_weakref': None 2022-11-23T01:37:54.6869979Z 'guarded_class': 2022-11-23T01:37:54.6870032Z } 2022-11-23T01:37:54.6870125Z 2022-11-23T01:37:54.6870196Z - 2022-11-23T01:37:54.6870327Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6870396Z { 2022-11-23T01:37:54.6870539Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6870648Z 'code': None, 2022-11-23T01:37:54.6870851Z 'obj_weakref': 2022-11-23T01:37:54.6871104Z 'guarded_class': 2022-11-23T01:37:54.6871167Z } 2022-11-23T01:37:54.6871230Z 2022-11-23T01:37:54.6871301Z - 2022-11-23T01:37:54.6871429Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.6871491Z { 2022-11-23T01:37:54.6871622Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6871728Z 'code': None, 2022-11-23T01:37:54.6871940Z 'obj_weakref': 2022-11-23T01:37:54.6872196Z 'guarded_class': 2022-11-23T01:37:54.6872260Z } 2022-11-23T01:37:54.6872322Z 2022-11-23T01:37:54.6872392Z - 2022-11-23T01:37:54.6872504Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:37:54.6872566Z { 2022-11-23T01:37:54.6872713Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6872821Z 'code': None, 2022-11-23T01:37:54.6873033Z 'obj_weakref': 2022-11-23T01:37:54.6873289Z 'guarded_class': 2022-11-23T01:37:54.6873353Z } 2022-11-23T01:37:54.6873403Z 2022-11-23T01:37:54.6873471Z - 2022-11-23T01:37:54.6873603Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.6873665Z { 2022-11-23T01:37:54.6873804Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6873975Z 'code': ['___check_obj_id(model, 140538738516048)'], 2022-11-23T01:37:54.6874096Z 'obj_weakref': None 2022-11-23T01:37:54.6874315Z 'guarded_class': 2022-11-23T01:37:54.6874380Z } 2022-11-23T01:37:54.6874440Z 2022-11-23T01:37:54.6874512Z - 2022-11-23T01:37:54.6874634Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6874698Z { 2022-11-23T01:37:54.6874835Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6875040Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6875161Z 'obj_weakref': None 2022-11-23T01:37:54.6875382Z 'guarded_class': 2022-11-23T01:37:54.6875446Z } 2022-11-23T01:37:54.6875510Z 2022-11-23T01:37:54.6875579Z - 2022-11-23T01:37:54.6875714Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.6875765Z { 2022-11-23T01:37:54.6875885Z 'guard_types': None, 2022-11-23T01:37:54.6875994Z 'code': None, 2022-11-23T01:37:54.6876112Z 'obj_weakref': None 2022-11-23T01:37:54.6876266Z 'guarded_class': None 2022-11-23T01:37:54.6876331Z } 2022-11-23T01:37:54.6876393Z 2022-11-23T01:37:54.6876643Z [2022-11-23 01:31:23,579] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 145 2022-11-23T01:37:54.6877019Z [2022-11-23 01:31:23,585] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/an/can4luaqoribuwvqliywjj22mjwxxrd634ntqyssizp6uqsgxutc.py 2022-11-23T01:37:54.6877287Z [2022-11-23 01:31:23,585] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 145 2022-11-23T01:37:54.6877325Z 2022-11-23T01:37:54.6877423Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6877491Z import torch 2022-11-23T01:37:54.6877558Z import random 2022-11-23T01:37:54.6877672Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6877792Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6877797Z 2022-11-23T01:37:54.6877865Z aten = torch.ops.aten 2022-11-23T01:37:54.6877997Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6878087Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6878092Z 2022-11-23T01:37:54.6878096Z 2022-11-23T01:37:54.6878182Z async_compile.wait(globals()) 2022-11-23T01:37:54.6878252Z del async_compile 2022-11-23T01:37:54.6878257Z 2022-11-23T01:37:54.6878324Z def call(args): 2022-11-23T01:37:54.6878404Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:54.6878474Z args.clear() 2022-11-23T01:37:54.6878591Z buf0 = aten.convolution(arg0_1, arg1_1, arg2_1, (4,), (0,), (1,), True, (0,), 1) 2022-11-23T01:37:54.6878699Z assert_size_stride(buf0, (2, 16, 364), (5824, 364, 1)) 2022-11-23T01:37:54.6878765Z del arg0_1 2022-11-23T01:37:54.6878830Z del arg1_1 2022-11-23T01:37:54.6878892Z del arg2_1 2022-11-23T01:37:54.6878960Z return (buf0, ) 2022-11-23T01:37:54.6878965Z 2022-11-23T01:37:54.6878969Z 2022-11-23T01:37:54.6879043Z if __name__ == "__main__": 2022-11-23T01:37:54.6879146Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6879267Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6879481Z arg0_1 = rand_strided((2, 32, 90), (2880, 90, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6879693Z arg1_1 = rand_strided((32, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6879888Z arg2_1 = rand_strided((16, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6880011Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:54.6880016Z 2022-11-23T01:37:54.6880085Z ok (0.036s) 2022-11-23T01:37:54.6880386Z test_cos_cpu (__main__.CpuTests) ... [2022-11-23 01:31:23,589] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6880658Z [2022-11-23 01:31:23,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6880866Z [2022-11-23 01:31:23,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6881121Z [2022-11-23 01:31:23,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.6881411Z [2022-11-23 01:31:23,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.6881739Z [2022-11-23 01:31:23,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6882066Z [2022-11-23 01:31:23,590] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.6882165Z 2135 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.6882257Z 2 LOAD_METHOD 1 (cos) 2022-11-23T01:37:54.6882346Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:54.6882456Z 6 CALL_METHOD 1 2022-11-23T01:37:54.6882546Z 8 LOAD_CONST 1 (2) 2022-11-23T01:37:54.6882618Z 10 BINARY_ADD 2022-11-23T01:37:54.6882711Z 12 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.6882802Z 14 LOAD_METHOD 1 (cos) 2022-11-23T01:37:54.6882888Z 16 LOAD_FAST 0 (x) 2022-11-23T01:37:54.6882974Z 18 LOAD_CONST 2 (1) 2022-11-23T01:37:54.6883045Z 20 BINARY_ADD 2022-11-23T01:37:54.6883121Z 22 CALL_METHOD 1 2022-11-23T01:37:54.6883237Z 24 BUILD_TUPLE 2 2022-11-23T01:37:54.6883311Z 26 RETURN_VALUE 2022-11-23T01:37:54.6883372Z 2022-11-23T01:37:54.6883377Z 2022-11-23T01:37:54.6883647Z [2022-11-23 01:31:23,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2135 2022-11-23T01:37:54.6883869Z [2022-11-23 01:31:23,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.6884176Z [2022-11-23 01:31:23,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cos [TorchVariable()] 2022-11-23T01:37:54.6884426Z [2022-11-23 01:31:23,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.cos)] 2022-11-23T01:37:54.6884696Z [2022-11-23 01:31:23,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.cos), TensorVariable()] 2022-11-23T01:37:54.6884935Z [2022-11-23 01:31:23,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:37:54.6885221Z [2022-11-23 01:31:23,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.6885468Z [2022-11-23 01:31:23,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:54.6885803Z [2022-11-23 01:31:23,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cos [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.6886082Z [2022-11-23 01:31:23,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.cos)] 2022-11-23T01:37:54.6886390Z [2022-11-23 01:31:23,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.cos), TensorVariable()] 2022-11-23T01:37:54.6886744Z [2022-11-23 01:31:23,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.cos), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.6887061Z [2022-11-23 01:31:23,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.cos), TensorVariable()] 2022-11-23T01:37:54.6887333Z [2022-11-23 01:31:23,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.6887572Z [2022-11-23 01:31:23,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.6887901Z [2022-11-23 01:31:23,605] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.6888147Z [2022-11-23 01:31:23,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.6888385Z [2022-11-23 01:31:23,606] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6888640Z [2022-11-23 01:31:23,607] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6888896Z [2022-11-23 01:31:23,610] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6889090Z [2022-11-23 01:31:23,611] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6889255Z __compiled_fn_147 .1341 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6889347Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6889435Z call_function, cos, aten.cos, (ex_0_,), {} 2022-11-23T01:37:54.6889608Z call_function, add, , (cos, 2), {} 2022-11-23T01:37:54.6889784Z call_function, add_1, , (ex_0_, 1), {} 2022-11-23T01:37:54.6889884Z call_function, cos_1, aten.cos, (add_1,), {} 2022-11-23T01:37:54.6889985Z output, output, output, ((add, cos_1),), {} 2022-11-23T01:37:54.6889991Z 2022-11-23T01:37:54.6890269Z [2022-11-23 01:31:23,611] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6890403Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6890492Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6890572Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6890660Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6890737Z 8 RETURN_VALUE 2022-11-23T01:37:54.6890742Z 2022-11-23T01:37:54.6890803Z 2022-11-23T01:37:54.6891080Z [2022-11-23 01:31:23,611] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6891188Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_147) 2022-11-23T01:37:54.6891277Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6891354Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6891429Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6891516Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.6891622Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.6891721Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.6891808Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6891884Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.6891972Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.6892061Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:54.6892136Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.6892223Z 24 BUILD_TUPLE 2 2022-11-23T01:37:54.6892297Z 26 RETURN_VALUE 2022-11-23T01:37:54.6892302Z 2022-11-23T01:37:54.6892362Z 2022-11-23T01:37:54.6892546Z [2022-11-23 01:31:23,612] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6892617Z - 2022-11-23T01:37:54.6892726Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6892789Z { 2022-11-23T01:37:54.6892932Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6893126Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.6893245Z 'obj_weakref': None 2022-11-23T01:37:54.6893469Z 'guarded_class': 2022-11-23T01:37:54.6893532Z } 2022-11-23T01:37:54.6893583Z 2022-11-23T01:37:54.6893654Z - 2022-11-23T01:37:54.6893782Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6893844Z { 2022-11-23T01:37:54.6893986Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6894095Z 'code': None, 2022-11-23T01:37:54.6894311Z 'obj_weakref': 2022-11-23T01:37:54.6894555Z 'guarded_class': 2022-11-23T01:37:54.6894618Z } 2022-11-23T01:37:54.6894680Z 2022-11-23T01:37:54.6894754Z - 2022-11-23T01:37:54.6894885Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.6894948Z { 2022-11-23T01:37:54.6895083Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6895243Z 'code': ['___check_obj_id(model, 140538738726960)'], 2022-11-23T01:37:54.6895363Z 'obj_weakref': None 2022-11-23T01:37:54.6895659Z 'guarded_class': 2022-11-23T01:37:54.6895723Z } 2022-11-23T01:37:54.6895784Z 2022-11-23T01:37:54.6895855Z - 2022-11-23T01:37:54.6895981Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6896032Z { 2022-11-23T01:37:54.6896168Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6896391Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6896517Z 'obj_weakref': None 2022-11-23T01:37:54.6896779Z 'guarded_class': 2022-11-23T01:37:54.6896842Z } 2022-11-23T01:37:54.6896903Z 2022-11-23T01:37:54.6896960Z - 2022-11-23T01:37:54.6897096Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.6897162Z { 2022-11-23T01:37:54.6897283Z 'guard_types': None, 2022-11-23T01:37:54.6897395Z 'code': None, 2022-11-23T01:37:54.6897515Z 'obj_weakref': None 2022-11-23T01:37:54.6897626Z 'guarded_class': None 2022-11-23T01:37:54.6897687Z } 2022-11-23T01:37:54.6897749Z 2022-11-23T01:37:54.6898013Z [2022-11-23 01:31:23,618] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 146 2022-11-23T01:37:54.6898383Z [2022-11-23 01:31:25,099] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yx/cyxxlcf6g2ii5e6rnyeszz7rpoml6qf3kcvklbta7swfmb5xigsn.py 2022-11-23T01:37:54.6898653Z [2022-11-23 01:31:25,100] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 146 2022-11-23T01:37:54.6898659Z 2022-11-23T01:37:54.6898896Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6899012Z import torch 2022-11-23T01:37:54.6899098Z import random 2022-11-23T01:37:54.6899223Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6899347Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6899352Z 2022-11-23T01:37:54.6899430Z aten = torch.ops.aten 2022-11-23T01:37:54.6899564Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6899656Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6899661Z 2022-11-23T01:37:54.6899666Z 2022-11-23T01:37:54.6899808Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.6900014Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.6900121Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.6900224Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.6900322Z float* __restrict__ out_ptr1) 2022-11-23T01:37:54.6900382Z { 2022-11-23T01:37:54.6900463Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:37:54.6900524Z { 2022-11-23T01:37:54.6900688Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:54.6900761Z auto tmp1 = tmp0.cos(); 2022-11-23T01:37:54.6900890Z auto tmp2 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:37:54.6900973Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:37:54.6901097Z auto tmp4 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:54.6901181Z auto tmp5 = tmp0 + tmp4; 2022-11-23T01:37:54.6901262Z auto tmp6 = tmp5.cos(); 2022-11-23T01:37:54.6901354Z tmp3.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.6901441Z tmp6.store(out_ptr1 + 8*i0); 2022-11-23T01:37:54.6901490Z } 2022-11-23T01:37:54.6901584Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.6901668Z for(long i0=256; i0<256; i0+=1) 2022-11-23T01:37:54.6901730Z { 2022-11-23T01:37:54.6901814Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.6901906Z auto tmp1 = std::cos(tmp0); 2022-11-23T01:37:54.6902002Z auto tmp2 = static_cast(2); 2022-11-23T01:37:54.6902129Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:37:54.6902228Z auto tmp4 = static_cast(1); 2022-11-23T01:37:54.6902313Z auto tmp5 = tmp0 + tmp4; 2022-11-23T01:37:54.6902401Z auto tmp6 = std::cos(tmp5); 2022-11-23T01:37:54.6902479Z out_ptr0[i0] = tmp3; 2022-11-23T01:37:54.6902555Z out_ptr1[i0] = tmp6; 2022-11-23T01:37:54.6902603Z } 2022-11-23T01:37:54.6902663Z } 2022-11-23T01:37:54.6902749Z ''') 2022-11-23T01:37:54.6902755Z 2022-11-23T01:37:54.6902759Z 2022-11-23T01:37:54.6902850Z async_compile.wait(globals()) 2022-11-23T01:37:54.6902923Z del async_compile 2022-11-23T01:37:54.6902969Z 2022-11-23T01:37:54.6903043Z def call(args): 2022-11-23T01:37:54.6903113Z arg0_1, = args 2022-11-23T01:37:54.6903184Z args.clear() 2022-11-23T01:37:54.6903378Z buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6903580Z buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6903748Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:54.6903819Z del arg0_1 2022-11-23T01:37:54.6903898Z return (buf0, buf1, ) 2022-11-23T01:37:54.6903902Z 2022-11-23T01:37:54.6903906Z 2022-11-23T01:37:54.6903983Z if __name__ == "__main__": 2022-11-23T01:37:54.6904099Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6904222Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6904413Z arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6904523Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.6904530Z 2022-11-23T01:37:54.6904600Z ok (1.516s) 2022-11-23T01:37:54.6904735Z test_cudnn_rnn_cpu (__main__.CpuTests) ... skip: requires CUDA (0.003s) 2022-11-23T01:37:54.6904946Z test_dense_mask_index_cpu (__main__.CpuTests) ... skip: https://github.com/pytorch/torchdynamo/issues/1697 (0.001s) 2022-11-23T01:37:54.6905252Z test_div1_cpu (__main__.CpuTests) ... [2022-11-23 01:31:25,111] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6905528Z [2022-11-23 01:31:25,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6905754Z [2022-11-23 01:31:25,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6905996Z [2022-11-23 01:31:25,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.6906289Z [2022-11-23 01:31:25,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.6906617Z [2022-11-23 01:31:25,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6906955Z [2022-11-23 01:31:25,112] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.6907053Z 1063 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.6907145Z 2 LOAD_ATTR 1 (div) 2022-11-23T01:37:54.6907238Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.6907327Z 6 LOAD_FAST 1 (b) 2022-11-23T01:37:54.6907424Z 8 LOAD_CONST 0 (None) 2022-11-23T01:37:54.6907579Z 10 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:37:54.6907674Z 12 CALL_FUNCTION_KW 3 2022-11-23T01:37:54.6907682Z 2022-11-23T01:37:54.6907773Z 1064 14 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.6907862Z 16 LOAD_ATTR 1 (div) 2022-11-23T01:37:54.6907948Z 18 LOAD_FAST 0 (a) 2022-11-23T01:37:54.6908036Z 20 LOAD_FAST 1 (b) 2022-11-23T01:37:54.6908270Z 22 LOAD_CONST 2 ('floor') 2022-11-23T01:37:54.6908464Z 24 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:37:54.6908561Z 26 CALL_FUNCTION_KW 3 2022-11-23T01:37:54.6908566Z 2022-11-23T01:37:54.6908659Z 1065 28 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.6908746Z 30 LOAD_ATTR 1 (div) 2022-11-23T01:37:54.6908832Z 32 LOAD_FAST 0 (a) 2022-11-23T01:37:54.6908919Z 34 LOAD_FAST 1 (b) 2022-11-23T01:37:54.6909067Z 36 LOAD_CONST 3 ('trunc') 2022-11-23T01:37:54.6909232Z 38 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:37:54.6909343Z 40 CALL_FUNCTION_KW 3 2022-11-23T01:37:54.6909347Z 2022-11-23T01:37:54.6909433Z 1066 42 LOAD_FAST 0 (a) 2022-11-23T01:37:54.6909518Z 44 LOAD_FAST 1 (b) 2022-11-23T01:37:54.6909599Z 46 BINARY_TRUE_DIVIDE 2022-11-23T01:37:54.6909606Z 2022-11-23T01:37:54.6909691Z 1067 48 LOAD_FAST 0 (a) 2022-11-23T01:37:54.6909776Z 50 LOAD_FAST 1 (b) 2022-11-23T01:37:54.6909859Z 52 BINARY_FLOOR_DIVIDE 2022-11-23T01:37:54.6909947Z 54 BUILD_TUPLE 5 2022-11-23T01:37:54.6910009Z 56 RETURN_VALUE 2022-11-23T01:37:54.6910070Z 2022-11-23T01:37:54.6910074Z 2022-11-23T01:37:54.6910350Z [2022-11-23 01:31:25,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1063 2022-11-23T01:37:54.6910571Z [2022-11-23 01:31:25,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.6910883Z [2022-11-23 01:31:25,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable()] 2022-11-23T01:37:54.6911137Z [2022-11-23 01:31:25,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)] 2022-11-23T01:37:54.6911418Z [2022-11-23 01:31:25,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:37:54.6911730Z [2022-11-23 01:31:25,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.6912109Z [2022-11-23 01:31:25,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:54.6912500Z [2022-11-23 01:31:25,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)] 2022-11-23T01:37:54.6912774Z [2022-11-23 01:31:25,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1064 2022-11-23T01:37:54.6913022Z [2022-11-23 01:31:25,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:54.6913355Z [2022-11-23 01:31:25,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.6913634Z [2022-11-23 01:31:25,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:37:54.6913943Z [2022-11-23 01:31:25,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:37:54.6914286Z [2022-11-23 01:31:25,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.6914688Z [2022-11-23 01:31:25,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:37:54.6915144Z [2022-11-23 01:31:25,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:37:54.6915420Z [2022-11-23 01:31:25,130] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1065 2022-11-23T01:37:54.6915698Z [2022-11-23 01:31:25,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.6916059Z [2022-11-23 01:31:25,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.6916383Z [2022-11-23 01:31:25,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:37:54.6916716Z [2022-11-23 01:31:25,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:37:54.6917084Z [2022-11-23 01:31:25,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.6917509Z [2022-11-23 01:31:25,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:37:54.6917965Z [2022-11-23 01:31:25,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:37:54.6918240Z [2022-11-23 01:31:25,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1066 2022-11-23T01:37:54.6918536Z [2022-11-23 01:31:25,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.6918856Z [2022-11-23 01:31:25,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.6919222Z [2022-11-23 01:31:25,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.6919490Z [2022-11-23 01:31:25,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1067 2022-11-23T01:37:54.6919816Z [2022-11-23 01:31:25,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.6920169Z [2022-11-23 01:31:25,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.6920564Z [2022-11-23 01:31:25,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.6920902Z [2022-11-23 01:31:25,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.6921151Z [2022-11-23 01:31:25,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.6921486Z [2022-11-23 01:31:25,143] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.6921733Z [2022-11-23 01:31:25,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.6922000Z [2022-11-23 01:31:25,143] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6922260Z [2022-11-23 01:31:25,145] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6922512Z [2022-11-23 01:31:25,156] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6922704Z [2022-11-23 01:31:25,156] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6922838Z __compiled_fn_148 .1347 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6922914Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6923030Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.6923221Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None} 2022-11-23T01:37:54.6923417Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'} 2022-11-23T01:37:54.6923610Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'} 2022-11-23T01:37:54.6923806Z call_function, truediv, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.6924006Z call_function, floordiv, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.6924136Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {} 2022-11-23T01:37:54.6924141Z 2022-11-23T01:37:54.6924410Z [2022-11-23 01:31:25,156] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6924504Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6924596Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6924690Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6924782Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6924857Z 8 RETURN_VALUE 2022-11-23T01:37:54.6924862Z 2022-11-23T01:37:54.6924922Z 2022-11-23T01:37:54.6925198Z [2022-11-23 01:31:25,157] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6925296Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_148) 2022-11-23T01:37:54.6925386Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6925475Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6925550Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6925639Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6925725Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.6925800Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.6925877Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.6925980Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.6926083Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.6926170Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6926246Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.6926346Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.6926435Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:54.6926498Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.6926595Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.6926682Z 32 LOAD_CONST 3 (2) 2022-11-23T01:37:54.6926756Z 34 BINARY_SUBSCR 2022-11-23T01:37:54.6926854Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.6926940Z 38 LOAD_CONST 4 (3) 2022-11-23T01:37:54.6927013Z 40 BINARY_SUBSCR 2022-11-23T01:37:54.6927099Z 42 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.6927188Z 44 LOAD_CONST 5 (4) 2022-11-23T01:37:54.6927262Z 46 BINARY_SUBSCR 2022-11-23T01:37:54.6927350Z 48 BUILD_TUPLE 5 2022-11-23T01:37:54.6927423Z 50 RETURN_VALUE 2022-11-23T01:37:54.6927428Z 2022-11-23T01:37:54.6927486Z 2022-11-23T01:37:54.6927703Z [2022-11-23 01:31:25,157] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6927777Z - 2022-11-23T01:37:54.6927886Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6927948Z { 2022-11-23T01:37:54.6928091Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6928280Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.6928402Z 'obj_weakref': None 2022-11-23T01:37:54.6928628Z 'guarded_class': 2022-11-23T01:37:54.6928692Z } 2022-11-23T01:37:54.6928741Z 2022-11-23T01:37:54.6928844Z - 2022-11-23T01:37:54.6928973Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6929035Z { 2022-11-23T01:37:54.6929179Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6929289Z 'code': None, 2022-11-23T01:37:54.6929505Z 'obj_weakref': 2022-11-23T01:37:54.6929749Z 'guarded_class': 2022-11-23T01:37:54.6929813Z } 2022-11-23T01:37:54.6929872Z 2022-11-23T01:37:54.6929942Z - 2022-11-23T01:37:54.6930067Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.6930130Z { 2022-11-23T01:37:54.6930273Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6930369Z 'code': None, 2022-11-23T01:37:54.6930583Z 'obj_weakref': 2022-11-23T01:37:54.6930842Z 'guarded_class': 2022-11-23T01:37:54.6930904Z } 2022-11-23T01:37:54.6930964Z 2022-11-23T01:37:54.6931036Z - 2022-11-23T01:37:54.6931167Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.6931218Z { 2022-11-23T01:37:54.6931354Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6931527Z 'code': ['___check_obj_id(model, 140539097526640)'], 2022-11-23T01:37:54.6931649Z 'obj_weakref': None 2022-11-23T01:37:54.6931880Z 'guarded_class': 2022-11-23T01:37:54.6931942Z } 2022-11-23T01:37:54.6932003Z 2022-11-23T01:37:54.6932060Z - 2022-11-23T01:37:54.6932183Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6932245Z { 2022-11-23T01:37:54.6932383Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6932604Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6932726Z 'obj_weakref': None 2022-11-23T01:37:54.6932949Z 'guarded_class': 2022-11-23T01:37:54.6932999Z } 2022-11-23T01:37:54.6933062Z 2022-11-23T01:37:54.6933130Z - 2022-11-23T01:37:54.6933263Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.6933326Z { 2022-11-23T01:37:54.6933447Z 'guard_types': None, 2022-11-23T01:37:54.6933542Z 'code': None, 2022-11-23T01:37:54.6933660Z 'obj_weakref': None 2022-11-23T01:37:54.6933781Z 'guarded_class': None 2022-11-23T01:37:54.6933844Z } 2022-11-23T01:37:54.6933904Z 2022-11-23T01:37:54.6934167Z [2022-11-23 01:31:25,172] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 147 2022-11-23T01:37:54.6934549Z [2022-11-23 01:31:26,582] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sb/csbgokgnrd3pquav2uyjxk7set4nc5tpz6q2ifng5deq2pedj5ud.py 2022-11-23T01:37:54.6934815Z [2022-11-23 01:31:26,583] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 147 2022-11-23T01:37:54.6934821Z 2022-11-23T01:37:54.6934934Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6935004Z import torch 2022-11-23T01:37:54.6935071Z import random 2022-11-23T01:37:54.6935186Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6935307Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6935313Z 2022-11-23T01:37:54.6935390Z aten = torch.ops.aten 2022-11-23T01:37:54.6935525Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6935615Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6935620Z 2022-11-23T01:37:54.6935624Z 2022-11-23T01:37:54.6935791Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.6935997Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.6936115Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.6936219Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.6936321Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.6936416Z float* __restrict__ out_ptr1, 2022-11-23T01:37:54.6936507Z float* __restrict__ out_ptr2, 2022-11-23T01:37:54.6936600Z float* __restrict__ out_ptr3, 2022-11-23T01:37:54.6936679Z float* __restrict__ out_ptr4) 2022-11-23T01:37:54.6936738Z { 2022-11-23T01:37:54.6936818Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:54.6936877Z { 2022-11-23T01:37:54.6937019Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:54.6937149Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:54.6937234Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:54.6937305Z auto tmp3 = tmp2.floor(); 2022-11-23T01:37:54.6937385Z auto tmp4 = tmp2.trunc(); 2022-11-23T01:37:54.6937470Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.6937553Z tmp3.store(out_ptr1 + 8*i0); 2022-11-23T01:37:54.6937639Z tmp4.store(out_ptr2 + 8*i0); 2022-11-23T01:37:54.6937720Z tmp2.store(out_ptr3 + 8*i0); 2022-11-23T01:37:54.6937801Z tmp3.store(out_ptr4 + 8*i0); 2022-11-23T01:37:54.6937849Z } 2022-11-23T01:37:54.6937936Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.6938014Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:37:54.6938074Z { 2022-11-23T01:37:54.6938152Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.6938231Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:54.6938298Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:54.6938386Z auto tmp3 = std::floor(tmp2); 2022-11-23T01:37:54.6938474Z auto tmp4 = std::trunc(tmp2); 2022-11-23T01:37:54.6938550Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:54.6938626Z out_ptr1[i0] = tmp3; 2022-11-23T01:37:54.6938700Z out_ptr2[i0] = tmp4; 2022-11-23T01:37:54.6938928Z out_ptr3[i0] = tmp2; 2022-11-23T01:37:54.6939039Z out_ptr4[i0] = tmp3; 2022-11-23T01:37:54.6939122Z } 2022-11-23T01:37:54.6939191Z } 2022-11-23T01:37:54.6939275Z ''') 2022-11-23T01:37:54.6939281Z 2022-11-23T01:37:54.6939285Z 2022-11-23T01:37:54.6939376Z async_compile.wait(globals()) 2022-11-23T01:37:54.6939448Z del async_compile 2022-11-23T01:37:54.6939453Z 2022-11-23T01:37:54.6939523Z def call(args): 2022-11-23T01:37:54.6939598Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.6939655Z args.clear() 2022-11-23T01:37:54.6939853Z buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6940052Z buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6940248Z buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6940440Z buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6940629Z buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6940950Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr())) 2022-11-23T01:37:54.6941022Z del arg0_1 2022-11-23T01:37:54.6941077Z del arg1_1 2022-11-23T01:37:54.6941172Z return (buf0, buf1, buf2, buf3, buf4, ) 2022-11-23T01:37:54.6941178Z 2022-11-23T01:37:54.6941183Z 2022-11-23T01:37:54.6941258Z if __name__ == "__main__": 2022-11-23T01:37:54.6941372Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6941494Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6941693Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6941939Z arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6942057Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.6942062Z 2022-11-23T01:37:54.6942115Z ok (1.479s) 2022-11-23T01:37:54.6942422Z test_div2_cpu (__main__.CpuTests) ... [2022-11-23 01:31:26,591] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6942695Z [2022-11-23 01:31:26,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6942916Z [2022-11-23 01:31:26,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6943174Z [2022-11-23 01:31:26,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.6943463Z [2022-11-23 01:31:26,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.6943791Z [2022-11-23 01:31:26,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6944126Z [2022-11-23 01:31:26,592] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.6944223Z 1075 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.6944301Z 2 LOAD_ATTR 1 (div) 2022-11-23T01:37:54.6944393Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.6944482Z 6 LOAD_FAST 1 (b) 2022-11-23T01:37:54.6944578Z 8 LOAD_CONST 0 (None) 2022-11-23T01:37:54.6944745Z 10 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:37:54.6944839Z 12 CALL_FUNCTION_KW 3 2022-11-23T01:37:54.6944845Z 2022-11-23T01:37:54.6944944Z 1076 14 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.6945033Z 16 LOAD_ATTR 1 (div) 2022-11-23T01:37:54.6945111Z 18 LOAD_FAST 0 (a) 2022-11-23T01:37:54.6945199Z 20 LOAD_FAST 1 (b) 2022-11-23T01:37:54.6945346Z 22 LOAD_CONST 2 ('floor') 2022-11-23T01:37:54.6945513Z 24 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:37:54.6945607Z 26 CALL_FUNCTION_KW 3 2022-11-23T01:37:54.6945611Z 2022-11-23T01:37:54.6945709Z 1077 28 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.6945797Z 30 LOAD_ATTR 1 (div) 2022-11-23T01:37:54.6945872Z 32 LOAD_FAST 0 (a) 2022-11-23T01:37:54.6945959Z 34 LOAD_FAST 1 (b) 2022-11-23T01:37:54.6946106Z 36 LOAD_CONST 3 ('trunc') 2022-11-23T01:37:54.6946268Z 38 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:37:54.6946363Z 40 CALL_FUNCTION_KW 3 2022-11-23T01:37:54.6946368Z 2022-11-23T01:37:54.6946455Z 1078 42 LOAD_FAST 0 (a) 2022-11-23T01:37:54.6946543Z 44 LOAD_FAST 1 (b) 2022-11-23T01:37:54.6946627Z 46 BINARY_TRUE_DIVIDE 2022-11-23T01:37:54.6946632Z 2022-11-23T01:37:54.6946736Z 1079 48 LOAD_FAST 0 (a) 2022-11-23T01:37:54.6946825Z 50 LOAD_FAST 1 (b) 2022-11-23T01:37:54.6946912Z 52 BINARY_FLOOR_DIVIDE 2022-11-23T01:37:54.6947002Z 54 BUILD_TUPLE 5 2022-11-23T01:37:54.6947079Z 56 RETURN_VALUE 2022-11-23T01:37:54.6947140Z 2022-11-23T01:37:54.6947145Z 2022-11-23T01:37:54.6947423Z [2022-11-23 01:31:26,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1075 2022-11-23T01:37:54.6947646Z [2022-11-23 01:31:26,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.6947969Z [2022-11-23 01:31:26,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable()] 2022-11-23T01:37:54.6948306Z [2022-11-23 01:31:26,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)] 2022-11-23T01:37:54.6948595Z [2022-11-23 01:31:26,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:37:54.6948915Z [2022-11-23 01:31:26,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.6949298Z [2022-11-23 01:31:26,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:54.6949707Z [2022-11-23 01:31:26,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)] 2022-11-23T01:37:54.6949983Z [2022-11-23 01:31:26,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1076 2022-11-23T01:37:54.6950235Z [2022-11-23 01:31:26,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:54.6950571Z [2022-11-23 01:31:26,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.6950851Z [2022-11-23 01:31:26,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:37:54.6951144Z [2022-11-23 01:31:26,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:37:54.6951485Z [2022-11-23 01:31:26,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.6951887Z [2022-11-23 01:31:26,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:37:54.6952318Z [2022-11-23 01:31:26,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:37:54.6952590Z [2022-11-23 01:31:26,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1077 2022-11-23T01:37:54.6952867Z [2022-11-23 01:31:26,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.6953228Z [2022-11-23 01:31:26,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.6953535Z [2022-11-23 01:31:26,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:37:54.6953909Z [2022-11-23 01:31:26,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:37:54.6954284Z [2022-11-23 01:31:26,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.6954710Z [2022-11-23 01:31:26,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:37:54.6955166Z [2022-11-23 01:31:26,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:37:54.6955480Z [2022-11-23 01:31:26,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1078 2022-11-23T01:37:54.6955767Z [2022-11-23 01:31:26,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.6956094Z [2022-11-23 01:31:26,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.6956460Z [2022-11-23 01:31:26,617] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.6956730Z [2022-11-23 01:31:26,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1079 2022-11-23T01:37:54.6957056Z [2022-11-23 01:31:26,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.6957403Z [2022-11-23 01:31:26,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.6957803Z [2022-11-23 01:31:26,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.6958155Z [2022-11-23 01:31:26,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.6958402Z [2022-11-23 01:31:26,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.6958736Z [2022-11-23 01:31:26,622] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.6958986Z [2022-11-23 01:31:26,622] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.6959225Z [2022-11-23 01:31:26,622] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6959469Z [2022-11-23 01:31:26,624] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6959721Z [2022-11-23 01:31:26,635] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6959912Z [2022-11-23 01:31:26,635] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6960047Z __compiled_fn_149 .1353 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6960137Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6960223Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.6960417Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None} 2022-11-23T01:37:54.6960612Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'} 2022-11-23T01:37:54.6960791Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'} 2022-11-23T01:37:54.6961015Z call_function, truediv, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.6961215Z call_function, floordiv, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.6961346Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {} 2022-11-23T01:37:54.6961351Z 2022-11-23T01:37:54.6961634Z [2022-11-23 01:31:26,636] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6961727Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6961820Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6961912Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6962020Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6962096Z 8 RETURN_VALUE 2022-11-23T01:37:54.6962101Z 2022-11-23T01:37:54.6962160Z 2022-11-23T01:37:54.6962437Z [2022-11-23 01:31:26,636] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6962547Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_149) 2022-11-23T01:37:54.6962636Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6962725Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6962789Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6962876Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6962962Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.6963035Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.6963121Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.6963224Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.6963327Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.6963414Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6963476Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.6963575Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.6963664Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:54.6963738Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.6963840Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.6963926Z 32 LOAD_CONST 3 (2) 2022-11-23T01:37:54.6964000Z 34 BINARY_SUBSCR 2022-11-23T01:37:54.6964086Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.6964171Z 38 LOAD_CONST 4 (3) 2022-11-23T01:37:54.6964246Z 40 BINARY_SUBSCR 2022-11-23T01:37:54.6964343Z 42 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.6964430Z 44 LOAD_CONST 5 (4) 2022-11-23T01:37:54.6964503Z 46 BINARY_SUBSCR 2022-11-23T01:37:54.6964590Z 48 BUILD_TUPLE 5 2022-11-23T01:37:54.6964651Z 50 RETURN_VALUE 2022-11-23T01:37:54.6964657Z 2022-11-23T01:37:54.6964715Z 2022-11-23T01:37:54.6964900Z [2022-11-23 01:31:26,636] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.6964974Z - 2022-11-23T01:37:54.6965095Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.6965158Z { 2022-11-23T01:37:54.6965300Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.6965477Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.6965598Z 'obj_weakref': None 2022-11-23T01:37:54.6965829Z 'guarded_class': 2022-11-23T01:37:54.6965893Z } 2022-11-23T01:37:54.6965954Z 2022-11-23T01:37:54.6966028Z - 2022-11-23T01:37:54.6966159Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.6966210Z { 2022-11-23T01:37:54.6966355Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6966462Z 'code': None, 2022-11-23T01:37:54.6966680Z 'obj_weakref': 2022-11-23T01:37:54.6966962Z 'guarded_class': 2022-11-23T01:37:54.6967027Z } 2022-11-23T01:37:54.6967088Z 2022-11-23T01:37:54.6967146Z - 2022-11-23T01:37:54.6967270Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.6967332Z { 2022-11-23T01:37:54.6967476Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.6967584Z 'code': None, 2022-11-23T01:37:54.6967800Z 'obj_weakref': 2022-11-23T01:37:54.6968086Z 'guarded_class': 2022-11-23T01:37:54.6968137Z } 2022-11-23T01:37:54.6968198Z 2022-11-23T01:37:54.6968269Z - 2022-11-23T01:37:54.6968401Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.6968463Z { 2022-11-23T01:37:54.6968601Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.6968773Z 'code': ['___check_obj_id(model, 140538738394032)'], 2022-11-23T01:37:54.6968883Z 'obj_weakref': None 2022-11-23T01:37:54.6969115Z 'guarded_class': 2022-11-23T01:37:54.6969177Z } 2022-11-23T01:37:54.6969237Z 2022-11-23T01:37:54.6969307Z - 2022-11-23T01:37:54.6969431Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.6969493Z { 2022-11-23T01:37:54.6969620Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.6969841Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.6969961Z 'obj_weakref': None 2022-11-23T01:37:54.6970186Z 'guarded_class': 2022-11-23T01:37:54.6970247Z } 2022-11-23T01:37:54.6970312Z 2022-11-23T01:37:54.6970383Z - 2022-11-23T01:37:54.6970502Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.6970565Z { 2022-11-23T01:37:54.6970685Z 'guard_types': None, 2022-11-23T01:37:54.6970793Z 'code': None, 2022-11-23T01:37:54.6970915Z 'obj_weakref': None 2022-11-23T01:37:54.6971037Z 'guarded_class': None 2022-11-23T01:37:54.6971099Z } 2022-11-23T01:37:54.6971148Z 2022-11-23T01:37:54.6971411Z [2022-11-23 01:31:26,651] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 148 2022-11-23T01:37:54.6971786Z [2022-11-23 01:31:28,073] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qx/cqxo2j6cr4cmi5ipxplmajnfztrtwk52myvxgmxy2takrg73qa33.py 2022-11-23T01:37:54.6972054Z [2022-11-23 01:31:28,074] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 148 2022-11-23T01:37:54.6972060Z 2022-11-23T01:37:54.6972156Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.6972223Z import torch 2022-11-23T01:37:54.6972291Z import random 2022-11-23T01:37:54.6972406Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.6972515Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.6972521Z 2022-11-23T01:37:54.6972596Z aten = torch.ops.aten 2022-11-23T01:37:54.6972733Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.6972824Z async_compile = AsyncCompile() 2022-11-23T01:37:54.6972829Z 2022-11-23T01:37:54.6972833Z 2022-11-23T01:37:54.6972968Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.6973177Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.6973293Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:37:54.6973397Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.6973514Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.6973612Z float* __restrict__ out_ptr1, 2022-11-23T01:37:54.6973706Z float* __restrict__ out_ptr2, 2022-11-23T01:37:54.6973798Z float* __restrict__ out_ptr3, 2022-11-23T01:37:54.6973890Z float* __restrict__ out_ptr4) 2022-11-23T01:37:54.6973953Z { 2022-11-23T01:37:54.6974027Z #pragma GCC ivdep 2022-11-23T01:37:54.6974096Z for(long i0=0; i0<64; i0+=1) 2022-11-23T01:37:54.6974155Z { 2022-11-23T01:37:54.6974217Z { 2022-11-23T01:37:54.6974280Z { 2022-11-23T01:37:54.6974401Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.6974488Z auto tmp2 = in_ptr1[i0]; 2022-11-23T01:37:54.6974592Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:37:54.6974666Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:37:54.6974770Z auto tmp4 = std::floor(tmp3); 2022-11-23T01:37:54.6974869Z auto tmp5 = std::trunc(tmp3); 2022-11-23T01:37:54.6974949Z out_ptr0[i0] = tmp3; 2022-11-23T01:37:54.6975028Z out_ptr1[i0] = tmp4; 2022-11-23T01:37:54.6975106Z out_ptr2[i0] = tmp5; 2022-11-23T01:37:54.6975184Z out_ptr3[i0] = tmp3; 2022-11-23T01:37:54.6975248Z out_ptr4[i0] = tmp4; 2022-11-23T01:37:54.6975309Z } 2022-11-23T01:37:54.6975369Z } 2022-11-23T01:37:54.6975429Z } 2022-11-23T01:37:54.6975485Z } 2022-11-23T01:37:54.6975565Z ''') 2022-11-23T01:37:54.6975571Z 2022-11-23T01:37:54.6975575Z 2022-11-23T01:37:54.6975663Z async_compile.wait(globals()) 2022-11-23T01:37:54.6975724Z del async_compile 2022-11-23T01:37:54.6975729Z 2022-11-23T01:37:54.6975799Z def call(args): 2022-11-23T01:37:54.6975872Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.6975941Z args.clear() 2022-11-23T01:37:54.6976139Z buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6976340Z buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6976532Z buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6976711Z buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6976896Z buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6977157Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr())) 2022-11-23T01:37:54.6977231Z del arg0_1 2022-11-23T01:37:54.6977296Z del arg1_1 2022-11-23T01:37:54.6977391Z return (buf0, buf1, buf2, buf3, buf4, ) 2022-11-23T01:37:54.6977396Z 2022-11-23T01:37:54.6977400Z 2022-11-23T01:37:54.6977474Z if __name__ == "__main__": 2022-11-23T01:37:54.6977587Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.6977700Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.6977896Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.6978094Z arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.6978208Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.6978213Z 2022-11-23T01:37:54.6978280Z ok (1.491s) 2022-11-23T01:37:54.6978586Z test_div3_cpu (__main__.CpuTests) ... [2022-11-23 01:31:28,082] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.6979039Z [2022-11-23 01:31:28,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.6979313Z [2022-11-23 01:31:28,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.6979571Z [2022-11-23 01:31:28,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.6979907Z [2022-11-23 01:31:28,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.6980244Z [2022-11-23 01:31:28,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.6980575Z [2022-11-23 01:31:28,083] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.6980674Z 1087 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.6980768Z 2 LOAD_ATTR 1 (div) 2022-11-23T01:37:54.6980911Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.6980999Z 6 LOAD_FAST 1 (b) 2022-11-23T01:37:54.6981091Z 8 LOAD_CONST 0 (None) 2022-11-23T01:37:54.6981244Z 10 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:37:54.6981342Z 12 CALL_FUNCTION_KW 3 2022-11-23T01:37:54.6981347Z 2022-11-23T01:37:54.6981439Z 1088 14 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.6981529Z 16 LOAD_ATTR 1 (div) 2022-11-23T01:37:54.6981617Z 18 LOAD_FAST 0 (a) 2022-11-23T01:37:54.6981705Z 20 LOAD_FAST 1 (b) 2022-11-23T01:37:54.6981851Z 22 LOAD_CONST 2 ('floor') 2022-11-23T01:37:54.6982015Z 24 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:37:54.6982096Z 26 CALL_FUNCTION_KW 3 2022-11-23T01:37:54.6982103Z 2022-11-23T01:37:54.6982195Z 1089 28 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.6982282Z 30 LOAD_ATTR 1 (div) 2022-11-23T01:37:54.6982368Z 32 LOAD_FAST 0 (a) 2022-11-23T01:37:54.6982454Z 34 LOAD_FAST 1 (b) 2022-11-23T01:37:54.6982601Z 36 LOAD_CONST 3 ('trunc') 2022-11-23T01:37:54.6982763Z 38 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:37:54.6982852Z 40 CALL_FUNCTION_KW 3 2022-11-23T01:37:54.6982858Z 2022-11-23T01:37:54.6982932Z 1090 42 LOAD_FAST 0 (a) 2022-11-23T01:37:54.6983016Z 44 LOAD_FAST 1 (b) 2022-11-23T01:37:54.6983102Z 46 BINARY_TRUE_DIVIDE 2022-11-23T01:37:54.6983106Z 2022-11-23T01:37:54.6983194Z 1091 48 LOAD_FAST 0 (a) 2022-11-23T01:37:54.6983279Z 50 LOAD_FAST 1 (b) 2022-11-23T01:37:54.6983365Z 52 BINARY_FLOOR_DIVIDE 2022-11-23T01:37:54.6983455Z 54 BUILD_TUPLE 5 2022-11-23T01:37:54.6983518Z 56 RETURN_VALUE 2022-11-23T01:37:54.6983578Z 2022-11-23T01:37:54.6983583Z 2022-11-23T01:37:54.6983855Z [2022-11-23 01:31:28,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1087 2022-11-23T01:37:54.6984078Z [2022-11-23 01:31:28,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.6984386Z [2022-11-23 01:31:28,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable()] 2022-11-23T01:37:54.6984638Z [2022-11-23 01:31:28,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)] 2022-11-23T01:37:54.6984916Z [2022-11-23 01:31:28,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:37:54.6985227Z [2022-11-23 01:31:28,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.6985610Z [2022-11-23 01:31:28,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:54.6986048Z [2022-11-23 01:31:28,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)] 2022-11-23T01:37:54.6986307Z [2022-11-23 01:31:28,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1088 2022-11-23T01:37:54.6986554Z [2022-11-23 01:31:28,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:54.6986886Z [2022-11-23 01:31:28,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.6987193Z [2022-11-23 01:31:28,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:37:54.6987493Z [2022-11-23 01:31:28,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:37:54.6987836Z [2022-11-23 01:31:28,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.6988313Z [2022-11-23 01:31:28,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:37:54.6988750Z [2022-11-23 01:31:28,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:37:54.6989027Z [2022-11-23 01:31:28,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1089 2022-11-23T01:37:54.6989303Z [2022-11-23 01:31:28,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.6989668Z [2022-11-23 01:31:28,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.6989975Z [2022-11-23 01:31:28,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:37:54.6990291Z [2022-11-23 01:31:28,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:37:54.6990661Z [2022-11-23 01:31:28,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.6991090Z [2022-11-23 01:31:28,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:37:54.6991551Z [2022-11-23 01:31:28,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:37:54.6991821Z [2022-11-23 01:31:28,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1090 2022-11-23T01:37:54.6992115Z [2022-11-23 01:31:28,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.6992440Z [2022-11-23 01:31:28,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.6992816Z [2022-11-23 01:31:28,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.6993119Z [2022-11-23 01:31:28,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1091 2022-11-23T01:37:54.6993446Z [2022-11-23 01:31:28,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.6993800Z [2022-11-23 01:31:28,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.6994202Z [2022-11-23 01:31:28,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.6994619Z [2022-11-23 01:31:28,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.6994859Z [2022-11-23 01:31:28,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.6995196Z [2022-11-23 01:31:28,110] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.6995448Z [2022-11-23 01:31:28,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.6995688Z [2022-11-23 01:31:28,110] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.6995950Z [2022-11-23 01:31:28,111] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.6996213Z [2022-11-23 01:31:28,119] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.6996407Z [2022-11-23 01:31:28,119] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.6996546Z __compiled_fn_150 .1359 opcode, name, target, args, kwargs 2022-11-23T01:37:54.6996639Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.6996714Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.6996907Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None} 2022-11-23T01:37:54.6997104Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'} 2022-11-23T01:37:54.6997297Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'} 2022-11-23T01:37:54.6997494Z call_function, truediv, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.6997692Z call_function, floordiv, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.6997824Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {} 2022-11-23T01:37:54.6997832Z 2022-11-23T01:37:54.6998115Z [2022-11-23 01:31:28,120] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6998199Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.6998291Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6998386Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.6998479Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.6998556Z 8 RETURN_VALUE 2022-11-23T01:37:54.6998561Z 2022-11-23T01:37:54.6998623Z 2022-11-23T01:37:54.6998902Z [2022-11-23 01:31:28,120] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.6998998Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_150) 2022-11-23T01:37:54.6999092Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6999185Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.6999264Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.6999355Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.6999441Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.6999518Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.6999607Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.6999729Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.6999834Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.6999922Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7000001Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.7000104Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7000193Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7000270Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.7000360Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7000478Z 32 LOAD_CONST 3 (2) 2022-11-23T01:37:54.7000552Z 34 BINARY_SUBSCR 2022-11-23T01:37:54.7000654Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7000743Z 38 LOAD_CONST 4 (3) 2022-11-23T01:37:54.7000816Z 40 BINARY_SUBSCR 2022-11-23T01:37:54.7000917Z 42 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7000992Z 44 LOAD_CONST 5 (4) 2022-11-23T01:37:54.7001067Z 46 BINARY_SUBSCR 2022-11-23T01:37:54.7001153Z 48 BUILD_TUPLE 5 2022-11-23T01:37:54.7001226Z 50 RETURN_VALUE 2022-11-23T01:37:54.7001231Z 2022-11-23T01:37:54.7001291Z 2022-11-23T01:37:54.7001478Z [2022-11-23 01:31:28,121] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.7001551Z - 2022-11-23T01:37:54.7001659Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.7001723Z { 2022-11-23T01:37:54.7001869Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.7002059Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.7002179Z 'obj_weakref': None 2022-11-23T01:37:54.7002406Z 'guarded_class': 2022-11-23T01:37:54.7002471Z } 2022-11-23T01:37:54.7002523Z 2022-11-23T01:37:54.7002593Z - 2022-11-23T01:37:54.7002720Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.7002783Z { 2022-11-23T01:37:54.7002926Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7003043Z 'code': None, 2022-11-23T01:37:54.7003260Z 'obj_weakref': 2022-11-23T01:37:54.7003503Z 'guarded_class': 2022-11-23T01:37:54.7003569Z } 2022-11-23T01:37:54.7003634Z 2022-11-23T01:37:54.7003704Z - 2022-11-23T01:37:54.7003829Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.7003892Z { 2022-11-23T01:37:54.7004034Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7004130Z 'code': None, 2022-11-23T01:37:54.7004341Z 'obj_weakref': 2022-11-23T01:37:54.7004596Z 'guarded_class': 2022-11-23T01:37:54.7004660Z } 2022-11-23T01:37:54.7004720Z 2022-11-23T01:37:54.7004791Z - 2022-11-23T01:37:54.7004922Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.7004973Z { 2022-11-23T01:37:54.7005108Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.7005279Z 'code': ['___check_obj_id(model, 140538743814624)'], 2022-11-23T01:37:54.7005405Z 'obj_weakref': None 2022-11-23T01:37:54.7005639Z 'guarded_class': 2022-11-23T01:37:54.7005702Z } 2022-11-23T01:37:54.7005762Z 2022-11-23T01:37:54.7005819Z - 2022-11-23T01:37:54.7005941Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.7006002Z { 2022-11-23T01:37:54.7006174Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.7006395Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.7006515Z 'obj_weakref': None 2022-11-23T01:37:54.7006738Z 'guarded_class': 2022-11-23T01:37:54.7006788Z } 2022-11-23T01:37:54.7006848Z 2022-11-23T01:37:54.7006917Z - 2022-11-23T01:37:54.7007049Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.7007111Z { 2022-11-23T01:37:54.7007264Z 'guard_types': None, 2022-11-23T01:37:54.7007373Z 'code': None, 2022-11-23T01:37:54.7007479Z 'obj_weakref': None 2022-11-23T01:37:54.7007601Z 'guarded_class': None 2022-11-23T01:37:54.7007663Z } 2022-11-23T01:37:54.7007723Z 2022-11-23T01:37:54.7007990Z [2022-11-23 01:31:28,132] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 149 2022-11-23T01:37:54.7008365Z [2022-11-23 01:31:29,665] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bp/cbpi2lyzatn2clk7zzcrsrg4ahx662ollvq66ijikgayheecngnq.py 2022-11-23T01:37:54.7008629Z [2022-11-23 01:31:29,665] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 149 2022-11-23T01:37:54.7008635Z 2022-11-23T01:37:54.7008730Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.7008787Z import torch 2022-11-23T01:37:54.7008855Z import random 2022-11-23T01:37:54.7008972Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.7009091Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.7009096Z 2022-11-23T01:37:54.7009173Z aten = torch.ops.aten 2022-11-23T01:37:54.7009305Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.7009394Z async_compile = AsyncCompile() 2022-11-23T01:37:54.7009399Z 2022-11-23T01:37:54.7009405Z 2022-11-23T01:37:54.7009541Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.7009736Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.7009853Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:37:54.7009956Z const long* __restrict__ in_ptr1, 2022-11-23T01:37:54.7010053Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.7010148Z long* __restrict__ out_ptr1, 2022-11-23T01:37:54.7010240Z long* __restrict__ out_ptr2, 2022-11-23T01:37:54.7010337Z float* __restrict__ out_ptr3, 2022-11-23T01:37:54.7010416Z long* __restrict__ out_ptr4) 2022-11-23T01:37:54.7010478Z { 2022-11-23T01:37:54.7010554Z #pragma GCC ivdep 2022-11-23T01:37:54.7010634Z for(long i0=0; i0<64; i0+=1) 2022-11-23T01:37:54.7010695Z { 2022-11-23T01:37:54.7010755Z { 2022-11-23T01:37:54.7010819Z { 2022-11-23T01:37:54.7010895Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.7010981Z auto tmp2 = in_ptr1[i0]; 2022-11-23T01:37:54.7011084Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:37:54.7011185Z auto tmp3 = static_cast(tmp2); 2022-11-23T01:37:54.7011271Z auto tmp4 = tmp1 / tmp3; 2022-11-23T01:37:54.7011520Z auto tmp5 = ((tmp0 < 0) != (tmp2 < 0) ? (tmp0 % tmp2 != 0 ? tmp0 / tmp2 - 1 : tmp0 / tmp2) : tmp0 / tmp2); 2022-11-23T01:37:54.7011605Z auto tmp6 = tmp0 / tmp2; 2022-11-23T01:37:54.7011677Z out_ptr0[i0] = tmp4; 2022-11-23T01:37:54.7011758Z out_ptr1[i0] = tmp5; 2022-11-23T01:37:54.7011834Z out_ptr2[i0] = tmp6; 2022-11-23T01:37:54.7011910Z out_ptr3[i0] = tmp4; 2022-11-23T01:37:54.7011985Z out_ptr4[i0] = tmp5; 2022-11-23T01:37:54.7012047Z } 2022-11-23T01:37:54.7012137Z } 2022-11-23T01:37:54.7012186Z } 2022-11-23T01:37:54.7012245Z } 2022-11-23T01:37:54.7012322Z ''') 2022-11-23T01:37:54.7012327Z 2022-11-23T01:37:54.7012332Z 2022-11-23T01:37:54.7012421Z async_compile.wait(globals()) 2022-11-23T01:37:54.7012492Z del async_compile 2022-11-23T01:37:54.7012497Z 2022-11-23T01:37:54.7012564Z def call(args): 2022-11-23T01:37:54.7012639Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.7012696Z args.clear() 2022-11-23T01:37:54.7012892Z buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7013086Z buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7013311Z buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7013502Z buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7013688Z buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7013950Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr())) 2022-11-23T01:37:54.7014019Z del arg0_1 2022-11-23T01:37:54.7014071Z del arg1_1 2022-11-23T01:37:54.7014166Z return (buf0, buf1, buf2, buf3, buf4, ) 2022-11-23T01:37:54.7014172Z 2022-11-23T01:37:54.7014176Z 2022-11-23T01:37:54.7014251Z if __name__ == "__main__": 2022-11-23T01:37:54.7014365Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.7014486Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.7014682Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7014874Z arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7014989Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.7014994Z 2022-11-23T01:37:54.7015047Z ok (1.591s) 2022-11-23T01:37:54.7015354Z test_div4_cpu (__main__.CpuTests) ... [2022-11-23 01:31:29,673] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.7015627Z [2022-11-23 01:31:29,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.7015850Z [2022-11-23 01:31:29,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.7016107Z [2022-11-23 01:31:29,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.7016395Z [2022-11-23 01:31:29,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.7016727Z [2022-11-23 01:31:29,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.7017061Z [2022-11-23 01:31:29,674] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.7017158Z 1100 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.7017238Z 2 LOAD_ATTR 1 (div) 2022-11-23T01:37:54.7017328Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7017415Z 6 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7017505Z 8 LOAD_CONST 0 (None) 2022-11-23T01:37:54.7017672Z 10 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:37:54.7017763Z 12 CALL_FUNCTION_KW 3 2022-11-23T01:37:54.7017772Z 2022-11-23T01:37:54.7017863Z 1101 14 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.7017951Z 16 LOAD_ATTR 1 (div) 2022-11-23T01:37:54.7018027Z 18 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7018113Z 20 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7018286Z 22 LOAD_CONST 2 ('floor') 2022-11-23T01:37:54.7018450Z 24 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:37:54.7018541Z 26 CALL_FUNCTION_KW 3 2022-11-23T01:37:54.7018546Z 2022-11-23T01:37:54.7018637Z 1102 28 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.7018725Z 30 LOAD_ATTR 1 (div) 2022-11-23T01:37:54.7019070Z 32 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7019154Z 34 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7019307Z 36 LOAD_CONST 3 ('trunc') 2022-11-23T01:37:54.7019540Z 38 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:37:54.7019634Z 40 CALL_FUNCTION_KW 3 2022-11-23T01:37:54.7019638Z 2022-11-23T01:37:54.7019724Z 1103 42 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7019809Z 44 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7019898Z 46 BINARY_TRUE_DIVIDE 2022-11-23T01:37:54.7019903Z 2022-11-23T01:37:54.7019977Z 1104 48 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7020062Z 50 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7020145Z 52 BINARY_FLOOR_DIVIDE 2022-11-23T01:37:54.7020235Z 54 BUILD_TUPLE 5 2022-11-23T01:37:54.7020311Z 56 RETURN_VALUE 2022-11-23T01:37:54.7020371Z 2022-11-23T01:37:54.7020376Z 2022-11-23T01:37:54.7020650Z [2022-11-23 01:31:29,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1100 2022-11-23T01:37:54.7020879Z [2022-11-23 01:31:29,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.7021175Z [2022-11-23 01:31:29,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable()] 2022-11-23T01:37:54.7021431Z [2022-11-23 01:31:29,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)] 2022-11-23T01:37:54.7021709Z [2022-11-23 01:31:29,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:37:54.7022023Z [2022-11-23 01:31:29,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7022407Z [2022-11-23 01:31:29,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:54.7022813Z [2022-11-23 01:31:29,680] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)] 2022-11-23T01:37:54.7023085Z [2022-11-23 01:31:29,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1101 2022-11-23T01:37:54.7023334Z [2022-11-23 01:31:29,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:54.7023665Z [2022-11-23 01:31:29,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.7023943Z [2022-11-23 01:31:29,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:37:54.7024245Z [2022-11-23 01:31:29,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:37:54.7024576Z [2022-11-23 01:31:29,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7024973Z [2022-11-23 01:31:29,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:37:54.7025434Z [2022-11-23 01:31:29,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:37:54.7025709Z [2022-11-23 01:31:29,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1102 2022-11-23T01:37:54.7025982Z [2022-11-23 01:31:29,691] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7026342Z [2022-11-23 01:31:29,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.7026695Z [2022-11-23 01:31:29,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:37:54.7027031Z [2022-11-23 01:31:29,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:37:54.7027400Z [2022-11-23 01:31:29,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7027824Z [2022-11-23 01:31:29,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:37:54.7028367Z [2022-11-23 01:31:29,697] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:37:54.7028648Z [2022-11-23 01:31:29,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1103 2022-11-23T01:37:54.7028944Z [2022-11-23 01:31:29,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7029255Z [2022-11-23 01:31:29,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7029627Z [2022-11-23 01:31:29,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7029897Z [2022-11-23 01:31:29,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1104 2022-11-23T01:37:54.7030226Z [2022-11-23 01:31:29,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7030578Z [2022-11-23 01:31:29,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7030972Z [2022-11-23 01:31:29,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7031323Z [2022-11-23 01:31:29,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7031576Z [2022-11-23 01:31:29,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7031914Z [2022-11-23 01:31:29,701] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.7032163Z [2022-11-23 01:31:29,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7032433Z [2022-11-23 01:31:29,701] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.7032681Z [2022-11-23 01:31:29,703] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.7032932Z [2022-11-23 01:31:29,710] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.7033124Z [2022-11-23 01:31:29,711] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.7033258Z __compiled_fn_151 .1365 opcode, name, target, args, kwargs 2022-11-23T01:37:54.7033347Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.7033463Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.7033655Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None} 2022-11-23T01:37:54.7033850Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'} 2022-11-23T01:37:54.7034031Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'} 2022-11-23T01:37:54.7034225Z call_function, truediv, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.7034424Z call_function, floordiv, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.7034554Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {} 2022-11-23T01:37:54.7034561Z 2022-11-23T01:37:54.7034840Z [2022-11-23 01:31:29,711] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7034933Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.7035022Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7035117Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.7035194Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.7035267Z 8 RETURN_VALUE 2022-11-23T01:37:54.7035272Z 2022-11-23T01:37:54.7035331Z 2022-11-23T01:37:54.7035609Z [2022-11-23 01:31:29,711] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7035717Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_151) 2022-11-23T01:37:54.7035806Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7035895Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7035971Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.7036046Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7036131Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7036204Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.7036291Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.7036396Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7036495Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7036582Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7036644Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.7036743Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7036831Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7036903Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.7037002Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7037090Z 32 LOAD_CONST 3 (2) 2022-11-23T01:37:54.7037163Z 34 BINARY_SUBSCR 2022-11-23T01:37:54.7037250Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7037335Z 38 LOAD_CONST 4 (3) 2022-11-23T01:37:54.7037408Z 40 BINARY_SUBSCR 2022-11-23T01:37:54.7037508Z 42 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7037597Z 44 LOAD_CONST 5 (4) 2022-11-23T01:37:54.7037672Z 46 BINARY_SUBSCR 2022-11-23T01:37:54.7037763Z 48 BUILD_TUPLE 5 2022-11-23T01:37:54.7037824Z 50 RETURN_VALUE 2022-11-23T01:37:54.7037843Z 2022-11-23T01:37:54.7037889Z 2022-11-23T01:37:54.7038106Z [2022-11-23 01:31:29,712] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.7038181Z - 2022-11-23T01:37:54.7038302Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.7038367Z { 2022-11-23T01:37:54.7038512Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.7038691Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.7038815Z 'obj_weakref': None 2022-11-23T01:37:54.7039040Z 'guarded_class': 2022-11-23T01:37:54.7039107Z } 2022-11-23T01:37:54.7039204Z 2022-11-23T01:37:54.7039278Z - 2022-11-23T01:37:54.7039410Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.7039460Z { 2022-11-23T01:37:54.7039607Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7039718Z 'code': None, 2022-11-23T01:37:54.7039935Z 'obj_weakref': 2022-11-23T01:37:54.7040194Z 'guarded_class': 2022-11-23T01:37:54.7040259Z } 2022-11-23T01:37:54.7040323Z 2022-11-23T01:37:54.7040381Z - 2022-11-23T01:37:54.7040508Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.7040574Z { 2022-11-23T01:37:54.7040718Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7040833Z 'code': None, 2022-11-23T01:37:54.7041051Z 'obj_weakref': 2022-11-23T01:37:54.7041312Z 'guarded_class': 2022-11-23T01:37:54.7041379Z } 2022-11-23T01:37:54.7041430Z 2022-11-23T01:37:54.7041504Z - 2022-11-23T01:37:54.7041637Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.7041704Z { 2022-11-23T01:37:54.7041842Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.7042017Z 'code': ['___check_obj_id(model, 140538741785088)'], 2022-11-23T01:37:54.7042127Z 'obj_weakref': None 2022-11-23T01:37:54.7042364Z 'guarded_class': 2022-11-23T01:37:54.7042430Z } 2022-11-23T01:37:54.7042492Z 2022-11-23T01:37:54.7042564Z - 2022-11-23T01:37:54.7042687Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.7042752Z { 2022-11-23T01:37:54.7042882Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.7043102Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.7043224Z 'obj_weakref': None 2022-11-23T01:37:54.7043448Z 'guarded_class': 2022-11-23T01:37:54.7043513Z } 2022-11-23T01:37:54.7043577Z 2022-11-23T01:37:54.7043647Z - 2022-11-23T01:37:54.7043766Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.7043826Z { 2022-11-23T01:37:54.7043946Z 'guard_types': None, 2022-11-23T01:37:54.7044058Z 'code': None, 2022-11-23T01:37:54.7044177Z 'obj_weakref': None 2022-11-23T01:37:54.7044298Z 'guarded_class': None 2022-11-23T01:37:54.7044358Z } 2022-11-23T01:37:54.7044407Z 2022-11-23T01:37:54.7044666Z [2022-11-23 01:31:29,724] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 150 2022-11-23T01:37:54.7045041Z [2022-11-23 01:31:29,748] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bp/cbpi2lyzatn2clk7zzcrsrg4ahx662ollvq66ijikgayheecngnq.py 2022-11-23T01:37:54.7045308Z [2022-11-23 01:31:29,748] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 150 2022-11-23T01:37:54.7045344Z 2022-11-23T01:37:54.7045443Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.7045512Z import torch 2022-11-23T01:37:54.7045581Z import random 2022-11-23T01:37:54.7045694Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.7045802Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.7045807Z 2022-11-23T01:37:54.7045883Z aten = torch.ops.aten 2022-11-23T01:37:54.7046015Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.7046105Z async_compile = AsyncCompile() 2022-11-23T01:37:54.7046110Z 2022-11-23T01:37:54.7046144Z 2022-11-23T01:37:54.7046281Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.7046484Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.7046603Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:37:54.7046705Z const long* __restrict__ in_ptr1, 2022-11-23T01:37:54.7046793Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.7046885Z long* __restrict__ out_ptr1, 2022-11-23T01:37:54.7046978Z long* __restrict__ out_ptr2, 2022-11-23T01:37:54.7047071Z float* __restrict__ out_ptr3, 2022-11-23T01:37:54.7047161Z long* __restrict__ out_ptr4) 2022-11-23T01:37:54.7047221Z { 2022-11-23T01:37:54.7047305Z #pragma GCC ivdep 2022-11-23T01:37:54.7047415Z for(long i0=0; i0<64; i0+=1) 2022-11-23T01:37:54.7047505Z { 2022-11-23T01:37:54.7047601Z { 2022-11-23T01:37:54.7047710Z { 2022-11-23T01:37:54.7047852Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.7047990Z auto tmp2 = in_ptr1[i0]; 2022-11-23T01:37:54.7048100Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:37:54.7048189Z auto tmp3 = static_cast(tmp2); 2022-11-23T01:37:54.7048272Z auto tmp4 = tmp1 / tmp3; 2022-11-23T01:37:54.7048528Z auto tmp5 = ((tmp0 < 0) != (tmp2 < 0) ? (tmp0 % tmp2 != 0 ? tmp0 / tmp2 - 1 : tmp0 / tmp2) : tmp0 / tmp2); 2022-11-23T01:37:54.7048614Z auto tmp6 = tmp0 / tmp2; 2022-11-23T01:37:54.7048693Z out_ptr0[i0] = tmp4; 2022-11-23T01:37:54.7048773Z out_ptr1[i0] = tmp5; 2022-11-23T01:37:54.7048850Z out_ptr2[i0] = tmp6; 2022-11-23T01:37:54.7048915Z out_ptr3[i0] = tmp4; 2022-11-23T01:37:54.7048989Z out_ptr4[i0] = tmp5; 2022-11-23T01:37:54.7049052Z } 2022-11-23T01:37:54.7049114Z } 2022-11-23T01:37:54.7049176Z } 2022-11-23T01:37:54.7049239Z } 2022-11-23T01:37:54.7049319Z ''') 2022-11-23T01:37:54.7049324Z 2022-11-23T01:37:54.7049329Z 2022-11-23T01:37:54.7049405Z async_compile.wait(globals()) 2022-11-23T01:37:54.7049474Z del async_compile 2022-11-23T01:37:54.7049479Z 2022-11-23T01:37:54.7049547Z def call(args): 2022-11-23T01:37:54.7049621Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.7049694Z args.clear() 2022-11-23T01:37:54.7049893Z buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7050086Z buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7050278Z buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7050458Z buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7050644Z buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7050902Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr())) 2022-11-23T01:37:54.7050975Z del arg0_1 2022-11-23T01:37:54.7051038Z del arg1_1 2022-11-23T01:37:54.7051133Z return (buf0, buf1, buf2, buf3, buf4, ) 2022-11-23T01:37:54.7051138Z 2022-11-23T01:37:54.7051142Z 2022-11-23T01:37:54.7051259Z if __name__ == "__main__": 2022-11-23T01:37:54.7051375Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.7051487Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.7051681Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7051873Z arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7051986Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.7051991Z 2022-11-23T01:37:54.7052056Z ok (0.081s) 2022-11-23T01:37:54.7052360Z test_div5_cpu (__main__.CpuTests) ... [2022-11-23 01:31:29,752] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.7052668Z [2022-11-23 01:31:29,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.7052892Z [2022-11-23 01:31:29,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.7053140Z [2022-11-23 01:31:29,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.7053432Z [2022-11-23 01:31:29,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.7053756Z [2022-11-23 01:31:29,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.7054085Z [2022-11-23 01:31:29,753] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.7054183Z 1115 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.7054274Z 2 LOAD_ATTR 1 (div) 2022-11-23T01:37:54.7054364Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7054452Z 6 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7054545Z 8 LOAD_CONST 0 (None) 2022-11-23T01:37:54.7054696Z 10 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:37:54.7054789Z 12 CALL_FUNCTION_KW 3 2022-11-23T01:37:54.7054794Z 2022-11-23T01:37:54.7054884Z 1116 14 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.7054972Z 16 LOAD_ATTR 1 (div) 2022-11-23T01:37:54.7055058Z 18 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7055144Z 20 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7055288Z 22 LOAD_CONST 2 ('floor') 2022-11-23T01:37:54.7055443Z 24 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:37:54.7055536Z 26 CALL_FUNCTION_KW 3 2022-11-23T01:37:54.7055541Z 2022-11-23T01:37:54.7055631Z 1117 28 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.7055717Z 30 LOAD_ATTR 1 (div) 2022-11-23T01:37:54.7055807Z 32 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7055893Z 34 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7056038Z 36 LOAD_CONST 3 ('trunc') 2022-11-23T01:37:54.7056199Z 38 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:37:54.7056278Z 40 CALL_FUNCTION_KW 3 2022-11-23T01:37:54.7056282Z 2022-11-23T01:37:54.7056368Z 1118 42 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7056453Z 44 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7056535Z 46 BINARY_TRUE_DIVIDE 2022-11-23T01:37:54.7056543Z 2022-11-23T01:37:54.7056629Z 1119 48 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7056716Z 50 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7056799Z 52 BINARY_FLOOR_DIVIDE 2022-11-23T01:37:54.7056887Z 54 BUILD_TUPLE 5 2022-11-23T01:37:54.7056949Z 56 RETURN_VALUE 2022-11-23T01:37:54.7057037Z 2022-11-23T01:37:54.7057043Z 2022-11-23T01:37:54.7057318Z [2022-11-23 01:31:29,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1115 2022-11-23T01:37:54.7057540Z [2022-11-23 01:31:29,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.7057849Z [2022-11-23 01:31:29,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable()] 2022-11-23T01:37:54.7058103Z [2022-11-23 01:31:29,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)] 2022-11-23T01:37:54.7058416Z [2022-11-23 01:31:29,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:37:54.7058906Z [2022-11-23 01:31:29,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.7059440Z [2022-11-23 01:31:29,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType)] 2022-11-23T01:37:54.7059855Z [2022-11-23 01:31:29,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(tuple)] 2022-11-23T01:37:54.7060123Z [2022-11-23 01:31:29,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1116 2022-11-23T01:37:54.7060372Z [2022-11-23 01:31:29,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:54.7060708Z [2022-11-23 01:31:29,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.7060986Z [2022-11-23 01:31:29,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:37:54.7061292Z [2022-11-23 01:31:29,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:37:54.7061644Z [2022-11-23 01:31:29,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.7062051Z [2022-11-23 01:31:29,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(str)] 2022-11-23T01:37:54.7062489Z [2022-11-23 01:31:29,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:37:54.7062762Z [2022-11-23 01:31:29,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1117 2022-11-23T01:37:54.7063036Z [2022-11-23 01:31:29,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7063399Z [2022-11-23 01:31:29,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.7063693Z [2022-11-23 01:31:29,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:37:54.7064025Z [2022-11-23 01:31:29,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:37:54.7064406Z [2022-11-23 01:31:29,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.7064901Z [2022-11-23 01:31:29,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(str)] 2022-11-23T01:37:54.7065368Z [2022-11-23 01:31:29,774] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:37:54.7065638Z [2022-11-23 01:31:29,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1118 2022-11-23T01:37:54.7065973Z [2022-11-23 01:31:29,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7066294Z [2022-11-23 01:31:29,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7066674Z [2022-11-23 01:31:29,775] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.7066944Z [2022-11-23 01:31:29,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1119 2022-11-23T01:37:54.7067264Z [2022-11-23 01:31:29,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7067613Z [2022-11-23 01:31:29,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7068028Z [2022-11-23 01:31:29,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.7068454Z [2022-11-23 01:31:29,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7068705Z [2022-11-23 01:31:29,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7069040Z [2022-11-23 01:31:29,778] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.7069290Z [2022-11-23 01:31:29,778] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7069531Z [2022-11-23 01:31:29,778] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.7069787Z [2022-11-23 01:31:29,780] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.7070040Z [2022-11-23 01:31:29,786] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.7070236Z [2022-11-23 01:31:29,787] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.7070374Z __compiled_fn_152 .1371 opcode, name, target, args, kwargs 2022-11-23T01:37:54.7070453Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.7070636Z call_function, div, aten.div, (ex_0_, 16), {'rounding_mode': None} 2022-11-23T01:37:54.7070825Z call_function, div_1, aten.div, (ex_0_, 16), {'rounding_mode': 'floor'} 2022-11-23T01:37:54.7071014Z call_function, div_2, aten.div, (ex_0_, 16), {'rounding_mode': 'trunc'} 2022-11-23T01:37:54.7071206Z call_function, truediv, , (ex_0_, 16), {} 2022-11-23T01:37:54.7071404Z call_function, floordiv, , (ex_0_, 16), {} 2022-11-23T01:37:54.7071536Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {} 2022-11-23T01:37:54.7071541Z 2022-11-23T01:37:54.7071856Z [2022-11-23 01:31:29,787] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7071955Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.7072033Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7072125Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.7072214Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.7072292Z 8 RETURN_VALUE 2022-11-23T01:37:54.7072297Z 2022-11-23T01:37:54.7072356Z 2022-11-23T01:37:54.7072634Z [2022-11-23 01:31:29,787] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7072790Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_152) 2022-11-23T01:37:54.7072867Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7072955Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7073030Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.7073115Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.7073217Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7073317Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7073404Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7073469Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.7073567Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7073653Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7073731Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.7073828Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7073913Z 26 LOAD_CONST 3 (2) 2022-11-23T01:37:54.7073988Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.7074086Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7074161Z 32 LOAD_CONST 4 (3) 2022-11-23T01:37:54.7074235Z 34 BINARY_SUBSCR 2022-11-23T01:37:54.7074332Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7074420Z 38 LOAD_CONST 5 (4) 2022-11-23T01:37:54.7074494Z 40 BINARY_SUBSCR 2022-11-23T01:37:54.7074580Z 42 BUILD_TUPLE 5 2022-11-23T01:37:54.7074652Z 44 RETURN_VALUE 2022-11-23T01:37:54.7074658Z 2022-11-23T01:37:54.7074705Z 2022-11-23T01:37:54.7074890Z [2022-11-23 01:31:29,788] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.7074961Z - 2022-11-23T01:37:54.7075081Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.7075144Z { 2022-11-23T01:37:54.7075287Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.7075478Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.7075592Z 'obj_weakref': None 2022-11-23T01:37:54.7075818Z 'guarded_class': 2022-11-23T01:37:54.7075883Z } 2022-11-23T01:37:54.7075947Z 2022-11-23T01:37:54.7076017Z - 2022-11-23T01:37:54.7076145Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.7076207Z { 2022-11-23T01:37:54.7076341Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7076448Z 'code': None, 2022-11-23T01:37:54.7076664Z 'obj_weakref': 2022-11-23T01:37:54.7076922Z 'guarded_class': 2022-11-23T01:37:54.7076988Z } 2022-11-23T01:37:54.7077053Z 2022-11-23T01:37:54.7077123Z - 2022-11-23T01:37:54.7077244Z local 'ex[1]' CONSTANT_MATCH 2022-11-23T01:37:54.7077306Z { 2022-11-23T01:37:54.7077449Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:54.7077639Z 'code': ['___check_type_id(ex[1], 93851402553120)', 'ex[1] == 16'], 2022-11-23T01:37:54.7077790Z 'obj_weakref': None 2022-11-23T01:37:54.7078015Z 'guarded_class': 2022-11-23T01:37:54.7078079Z } 2022-11-23T01:37:54.7078128Z 2022-11-23T01:37:54.7078197Z - 2022-11-23T01:37:54.7078328Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.7078390Z { 2022-11-23T01:37:54.7078525Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.7078697Z 'code': ['___check_obj_id(model, 140538746031568)'], 2022-11-23T01:37:54.7078817Z 'obj_weakref': None 2022-11-23T01:37:54.7079070Z 'guarded_class': 2022-11-23T01:37:54.7079134Z } 2022-11-23T01:37:54.7079199Z 2022-11-23T01:37:54.7079269Z - 2022-11-23T01:37:54.7079390Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.7079451Z { 2022-11-23T01:37:54.7079590Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.7079797Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.7079915Z 'obj_weakref': None 2022-11-23T01:37:54.7080137Z 'guarded_class': 2022-11-23T01:37:54.7080200Z } 2022-11-23T01:37:54.7080263Z 2022-11-23T01:37:54.7080333Z - 2022-11-23T01:37:54.7080463Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.7080515Z { 2022-11-23T01:37:54.7080635Z 'guard_types': None, 2022-11-23T01:37:54.7080749Z 'code': None, 2022-11-23T01:37:54.7080867Z 'obj_weakref': None 2022-11-23T01:37:54.7080993Z 'guarded_class': None 2022-11-23T01:37:54.7081058Z } 2022-11-23T01:37:54.7081108Z 2022-11-23T01:37:54.7081374Z [2022-11-23 01:31:29,799] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 151 2022-11-23T01:37:54.7081751Z [2022-11-23 01:31:31,204] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gg/cggjxmki2ug63llknazmcil5boapmbwodcmukzvzdkm5p7cxctdt.py 2022-11-23T01:37:54.7082020Z [2022-11-23 01:31:31,204] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 151 2022-11-23T01:37:54.7082025Z 2022-11-23T01:37:54.7082121Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.7082189Z import torch 2022-11-23T01:37:54.7082257Z import random 2022-11-23T01:37:54.7082372Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.7082485Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.7082504Z 2022-11-23T01:37:54.7082569Z aten = torch.ops.aten 2022-11-23T01:37:54.7082700Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.7082792Z async_compile = AsyncCompile() 2022-11-23T01:37:54.7082797Z 2022-11-23T01:37:54.7082802Z 2022-11-23T01:37:54.7082941Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.7083145Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.7083264Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:37:54.7083362Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.7083456Z long* __restrict__ out_ptr1, 2022-11-23T01:37:54.7083537Z long* __restrict__ out_ptr2, 2022-11-23T01:37:54.7083632Z float* __restrict__ out_ptr3, 2022-11-23T01:37:54.7083720Z long* __restrict__ out_ptr4) 2022-11-23T01:37:54.7083782Z { 2022-11-23T01:37:54.7083863Z #pragma GCC ivdep 2022-11-23T01:37:54.7083947Z for(long i0=0; i0<64; i0+=1) 2022-11-23T01:37:54.7083996Z { 2022-11-23T01:37:54.7084060Z { 2022-11-23T01:37:54.7084124Z { 2022-11-23T01:37:54.7084213Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.7084346Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:37:54.7084447Z auto tmp2 = static_cast(16); 2022-11-23T01:37:54.7084533Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:37:54.7084621Z auto tmp4 = static_cast(16); 2022-11-23T01:37:54.7084875Z auto tmp5 = ((tmp0 < 0) != (tmp4 < 0) ? (tmp0 % tmp4 != 0 ? tmp0 / tmp4 - 1 : tmp0 / tmp4) : tmp0 / tmp4); 2022-11-23T01:37:54.7084967Z auto tmp6 = tmp0 / tmp4; 2022-11-23T01:37:54.7085049Z out_ptr0[i0] = tmp3; 2022-11-23T01:37:54.7085137Z out_ptr1[i0] = tmp5; 2022-11-23T01:37:54.7085246Z out_ptr2[i0] = tmp6; 2022-11-23T01:37:54.7085327Z out_ptr3[i0] = tmp3; 2022-11-23T01:37:54.7085406Z out_ptr4[i0] = tmp5; 2022-11-23T01:37:54.7085456Z } 2022-11-23T01:37:54.7085519Z } 2022-11-23T01:37:54.7085580Z } 2022-11-23T01:37:54.7085641Z } 2022-11-23T01:37:54.7085726Z ''') 2022-11-23T01:37:54.7085734Z 2022-11-23T01:37:54.7085738Z 2022-11-23T01:37:54.7085826Z async_compile.wait(globals()) 2022-11-23T01:37:54.7085899Z del async_compile 2022-11-23T01:37:54.7085903Z 2022-11-23T01:37:54.7085962Z def call(args): 2022-11-23T01:37:54.7086031Z arg0_1, = args 2022-11-23T01:37:54.7086102Z args.clear() 2022-11-23T01:37:54.7086302Z buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7086497Z buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7086689Z buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7086890Z buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7087066Z buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7087307Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr())) 2022-11-23T01:37:54.7087377Z del arg0_1 2022-11-23T01:37:54.7087473Z return (buf0, buf1, buf2, buf3, buf4, ) 2022-11-23T01:37:54.7087478Z 2022-11-23T01:37:54.7087483Z 2022-11-23T01:37:54.7087557Z if __name__ == "__main__": 2022-11-23T01:37:54.7087668Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.7087788Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.7087981Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7088076Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.7088096Z 2022-11-23T01:37:54.7088149Z ok (1.458s) 2022-11-23T01:37:54.7088457Z test_div6_cpu (__main__.CpuTests) ... [2022-11-23 01:31:31,212] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.7088730Z [2022-11-23 01:31:31,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.7088953Z [2022-11-23 01:31:31,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.7089209Z [2022-11-23 01:31:31,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.7089498Z [2022-11-23 01:31:31,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.7089825Z [2022-11-23 01:31:31,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.7090156Z [2022-11-23 01:31:31,213] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.7090251Z 1128 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.7090330Z 2 LOAD_ATTR 1 (div) 2022-11-23T01:37:54.7090419Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7090534Z 6 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7090627Z 8 LOAD_CONST 0 (None) 2022-11-23T01:37:54.7090793Z 10 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:37:54.7090886Z 12 CALL_FUNCTION_KW 3 2022-11-23T01:37:54.7090891Z 2022-11-23T01:37:54.7090982Z 1129 14 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.7091058Z 16 LOAD_ATTR 1 (div) 2022-11-23T01:37:54.7091143Z 18 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7091229Z 20 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7091409Z 22 LOAD_CONST 2 ('floor') 2022-11-23T01:37:54.7091573Z 24 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:37:54.7091663Z 26 CALL_FUNCTION_KW 3 2022-11-23T01:37:54.7091669Z 2022-11-23T01:37:54.7091757Z 1130 28 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.7091846Z 30 LOAD_ATTR 1 (div) 2022-11-23T01:37:54.7091921Z 32 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7092007Z 34 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7092152Z 36 LOAD_CONST 3 ('trunc') 2022-11-23T01:37:54.7092313Z 38 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:37:54.7092402Z 40 CALL_FUNCTION_KW 3 2022-11-23T01:37:54.7092406Z 2022-11-23T01:37:54.7092492Z 1131 42 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7092578Z 44 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7092653Z 46 BINARY_TRUE_DIVIDE 2022-11-23T01:37:54.7092669Z 2022-11-23T01:37:54.7092743Z 1132 48 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7092826Z 50 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7092909Z 52 BINARY_FLOOR_DIVIDE 2022-11-23T01:37:54.7092998Z 54 BUILD_TUPLE 5 2022-11-23T01:37:54.7093072Z 56 RETURN_VALUE 2022-11-23T01:37:54.7093130Z 2022-11-23T01:37:54.7093135Z 2022-11-23T01:37:54.7093405Z [2022-11-23 01:31:31,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1128 2022-11-23T01:37:54.7093614Z [2022-11-23 01:31:31,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.7093920Z [2022-11-23 01:31:31,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable()] 2022-11-23T01:37:54.7094172Z [2022-11-23 01:31:31,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)] 2022-11-23T01:37:54.7094455Z [2022-11-23 01:31:31,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:37:54.7094769Z [2022-11-23 01:31:31,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7095150Z [2022-11-23 01:31:31,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:54.7095556Z [2022-11-23 01:31:31,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)] 2022-11-23T01:37:54.7095826Z [2022-11-23 01:31:31,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1129 2022-11-23T01:37:54.7096076Z [2022-11-23 01:31:31,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:54.7096407Z [2022-11-23 01:31:31,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.7096742Z [2022-11-23 01:31:31,227] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:37:54.7097037Z [2022-11-23 01:31:31,227] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:37:54.7097378Z [2022-11-23 01:31:31,227] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7097774Z [2022-11-23 01:31:31,227] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:37:54.7098233Z [2022-11-23 01:31:31,227] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:37:54.7098507Z [2022-11-23 01:31:31,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1130 2022-11-23T01:37:54.7098933Z [2022-11-23 01:31:31,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7099372Z [2022-11-23 01:31:31,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.7099678Z [2022-11-23 01:31:31,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:37:54.7100019Z [2022-11-23 01:31:31,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:37:54.7100392Z [2022-11-23 01:31:31,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7100823Z [2022-11-23 01:31:31,235] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:37:54.7101279Z [2022-11-23 01:31:31,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:37:54.7101550Z [2022-11-23 01:31:31,236] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1131 2022-11-23T01:37:54.7101834Z [2022-11-23 01:31:31,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7102156Z [2022-11-23 01:31:31,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7102524Z [2022-11-23 01:31:31,237] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7102792Z [2022-11-23 01:31:31,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1132 2022-11-23T01:37:54.7103112Z [2022-11-23 01:31:31,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7103461Z [2022-11-23 01:31:31,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7103869Z [2022-11-23 01:31:31,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7104284Z [2022-11-23 01:31:31,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7104539Z [2022-11-23 01:31:31,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7104872Z [2022-11-23 01:31:31,240] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.7105122Z [2022-11-23 01:31:31,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7105390Z [2022-11-23 01:31:31,240] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.7105648Z [2022-11-23 01:31:31,242] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.7105902Z [2022-11-23 01:31:31,249] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.7106096Z [2022-11-23 01:31:31,249] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.7106230Z __compiled_fn_153 .1377 opcode, name, target, args, kwargs 2022-11-23T01:37:54.7106320Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.7106407Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.7106597Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None} 2022-11-23T01:37:54.7106776Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'} 2022-11-23T01:37:54.7106970Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'} 2022-11-23T01:37:54.7107167Z call_function, truediv, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.7107363Z call_function, floordiv, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.7107491Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {} 2022-11-23T01:37:54.7107497Z 2022-11-23T01:37:54.7107778Z [2022-11-23 01:31:31,250] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7107874Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.7107964Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7108055Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.7108210Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.7108296Z 8 RETURN_VALUE 2022-11-23T01:37:54.7108302Z 2022-11-23T01:37:54.7108362Z 2022-11-23T01:37:54.7108643Z [2022-11-23 01:31:31,250] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7108754Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_153) 2022-11-23T01:37:54.7108842Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7108931Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7108995Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.7109085Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7109173Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7109246Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.7109333Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.7109435Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7109536Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7109612Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7109687Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.7109786Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7109875Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7109950Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.7110051Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7110136Z 32 LOAD_CONST 3 (2) 2022-11-23T01:37:54.7110232Z 34 BINARY_SUBSCR 2022-11-23T01:37:54.7110333Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7110418Z 38 LOAD_CONST 4 (3) 2022-11-23T01:37:54.7110491Z 40 BINARY_SUBSCR 2022-11-23T01:37:54.7110588Z 42 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7110671Z 44 LOAD_CONST 5 (4) 2022-11-23T01:37:54.7110744Z 46 BINARY_SUBSCR 2022-11-23T01:37:54.7110831Z 48 BUILD_TUPLE 5 2022-11-23T01:37:54.7110893Z 50 RETURN_VALUE 2022-11-23T01:37:54.7110898Z 2022-11-23T01:37:54.7110987Z 2022-11-23T01:37:54.7111173Z [2022-11-23 01:31:31,251] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.7111246Z - 2022-11-23T01:37:54.7111365Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.7111427Z { 2022-11-23T01:37:54.7111571Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.7111749Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.7111871Z 'obj_weakref': None 2022-11-23T01:37:54.7112098Z 'guarded_class': 2022-11-23T01:37:54.7112162Z } 2022-11-23T01:37:54.7112223Z 2022-11-23T01:37:54.7112292Z - 2022-11-23T01:37:54.7112419Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.7112470Z { 2022-11-23T01:37:54.7112613Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7112720Z 'code': None, 2022-11-23T01:37:54.7112940Z 'obj_weakref': 2022-11-23T01:37:54.7113198Z 'guarded_class': 2022-11-23T01:37:54.7113260Z } 2022-11-23T01:37:54.7113322Z 2022-11-23T01:37:54.7113379Z - 2022-11-23T01:37:54.7113505Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.7113568Z { 2022-11-23T01:37:54.7113712Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7113819Z 'code': None, 2022-11-23T01:37:54.7114031Z 'obj_weakref': 2022-11-23T01:37:54.7114289Z 'guarded_class': 2022-11-23T01:37:54.7114340Z } 2022-11-23T01:37:54.7114400Z 2022-11-23T01:37:54.7114469Z - 2022-11-23T01:37:54.7114603Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.7114665Z { 2022-11-23T01:37:54.7114802Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.7114972Z 'code': ['___check_obj_id(model, 140538739050400)'], 2022-11-23T01:37:54.7115081Z 'obj_weakref': None 2022-11-23T01:37:54.7115314Z 'guarded_class': 2022-11-23T01:37:54.7115377Z } 2022-11-23T01:37:54.7115439Z 2022-11-23T01:37:54.7115507Z - 2022-11-23T01:37:54.7115630Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.7115691Z { 2022-11-23T01:37:54.7115817Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.7116034Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.7116153Z 'obj_weakref': None 2022-11-23T01:37:54.7116372Z 'guarded_class': 2022-11-23T01:37:54.7116438Z } 2022-11-23T01:37:54.7116497Z 2022-11-23T01:37:54.7116565Z - 2022-11-23T01:37:54.7116685Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.7116747Z { 2022-11-23T01:37:54.7116866Z 'guard_types': None, 2022-11-23T01:37:54.7117016Z 'code': None, 2022-11-23T01:37:54.7117139Z 'obj_weakref': None 2022-11-23T01:37:54.7117261Z 'guarded_class': None 2022-11-23T01:37:54.7117311Z } 2022-11-23T01:37:54.7117373Z 2022-11-23T01:37:54.7117632Z [2022-11-23 01:31:31,262] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 152 2022-11-23T01:37:54.7118010Z [2022-11-23 01:31:32,800] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vs/cvsgfnasyiu4y4pistfqi4pb5l7blvlf7hywghlhysgsjwdb7eyf.py 2022-11-23T01:37:54.7118282Z [2022-11-23 01:31:32,800] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 152 2022-11-23T01:37:54.7118339Z 2022-11-23T01:37:54.7118433Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.7118502Z import torch 2022-11-23T01:37:54.7118572Z import random 2022-11-23T01:37:54.7118674Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.7118796Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.7118802Z 2022-11-23T01:37:54.7118880Z aten = torch.ops.aten 2022-11-23T01:37:54.7119013Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.7119101Z async_compile = AsyncCompile() 2022-11-23T01:37:54.7119106Z 2022-11-23T01:37:54.7119110Z 2022-11-23T01:37:54.7119245Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.7119451Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.7119569Z extern "C" void kernel(const bool* __restrict__ in_ptr0, 2022-11-23T01:37:54.7119673Z const long* __restrict__ in_ptr1, 2022-11-23T01:37:54.7119760Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.7119854Z long* __restrict__ out_ptr1, 2022-11-23T01:37:54.7119946Z long* __restrict__ out_ptr2, 2022-11-23T01:37:54.7120041Z float* __restrict__ out_ptr3, 2022-11-23T01:37:54.7120137Z long* __restrict__ out_ptr4) 2022-11-23T01:37:54.7120196Z { 2022-11-23T01:37:54.7120273Z #pragma GCC ivdep 2022-11-23T01:37:54.7120341Z for(long i0=0; i0<64; i0+=1) 2022-11-23T01:37:54.7120402Z { 2022-11-23T01:37:54.7120463Z { 2022-11-23T01:37:54.7120525Z { 2022-11-23T01:37:54.7120610Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.7120696Z auto tmp3 = in_ptr1[i0]; 2022-11-23T01:37:54.7120787Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:37:54.7120889Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:37:54.7120993Z auto tmp4 = static_cast(tmp3); 2022-11-23T01:37:54.7121079Z auto tmp5 = tmp2 / tmp4; 2022-11-23T01:37:54.7121327Z auto tmp6 = ((tmp1 < 0) != (tmp3 < 0) ? (tmp1 % tmp3 != 0 ? tmp1 / tmp3 - 1 : tmp1 / tmp3) : tmp1 / tmp3); 2022-11-23T01:37:54.7121413Z auto tmp7 = tmp1 / tmp3; 2022-11-23T01:37:54.7121517Z auto tmp8 = static_cast(tmp0); 2022-11-23T01:37:54.7121602Z auto tmp9 = tmp8 / tmp4; 2022-11-23T01:37:54.7121673Z out_ptr0[i0] = tmp5; 2022-11-23T01:37:54.7121754Z out_ptr1[i0] = tmp6; 2022-11-23T01:37:54.7121832Z out_ptr2[i0] = tmp7; 2022-11-23T01:37:54.7121909Z out_ptr3[i0] = tmp9; 2022-11-23T01:37:54.7121983Z out_ptr4[i0] = tmp6; 2022-11-23T01:37:54.7122046Z } 2022-11-23T01:37:54.7122107Z } 2022-11-23T01:37:54.7122157Z } 2022-11-23T01:37:54.7122217Z } 2022-11-23T01:37:54.7122300Z ''') 2022-11-23T01:37:54.7122305Z 2022-11-23T01:37:54.7122310Z 2022-11-23T01:37:54.7122398Z async_compile.wait(globals()) 2022-11-23T01:37:54.7122469Z del async_compile 2022-11-23T01:37:54.7122475Z 2022-11-23T01:37:54.7122545Z def call(args): 2022-11-23T01:37:54.7122618Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.7122677Z args.clear() 2022-11-23T01:37:54.7122904Z buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7123105Z buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7123297Z buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7123493Z buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7123682Z buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7123945Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr())) 2022-11-23T01:37:54.7124046Z del arg0_1 2022-11-23T01:37:54.7124101Z del arg1_1 2022-11-23T01:37:54.7124195Z return (buf0, buf1, buf2, buf3, buf4, ) 2022-11-23T01:37:54.7124201Z 2022-11-23T01:37:54.7124205Z 2022-11-23T01:37:54.7124284Z if __name__ == "__main__": 2022-11-23T01:37:54.7124401Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.7124525Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.7124720Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.7124916Z arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7125031Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.7125036Z 2022-11-23T01:37:54.7125089Z ok (1.596s) 2022-11-23T01:37:54.7125397Z test_div7_cpu (__main__.CpuTests) ... [2022-11-23 01:31:32,809] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.7125672Z [2022-11-23 01:31:32,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.7125895Z [2022-11-23 01:31:32,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.7126156Z [2022-11-23 01:31:32,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.7126451Z [2022-11-23 01:31:32,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.7126780Z [2022-11-23 01:31:32,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.7127112Z [2022-11-23 01:31:32,810] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.7127209Z 1144 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.7127291Z 2 LOAD_ATTR 1 (div) 2022-11-23T01:37:54.7127383Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7127472Z 6 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7127565Z 8 LOAD_CONST 0 (None) 2022-11-23T01:37:54.7127733Z 10 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:37:54.7127828Z 12 CALL_FUNCTION_KW 3 2022-11-23T01:37:54.7127833Z 2022-11-23T01:37:54.7127926Z 1145 14 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.7128017Z 16 LOAD_ATTR 1 (div) 2022-11-23T01:37:54.7128093Z 18 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7128180Z 20 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7128326Z 22 LOAD_CONST 2 ('floor') 2022-11-23T01:37:54.7128491Z 24 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:37:54.7128587Z 26 CALL_FUNCTION_KW 3 2022-11-23T01:37:54.7128592Z 2022-11-23T01:37:54.7128684Z 1146 28 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.7128772Z 30 LOAD_ATTR 1 (div) 2022-11-23T01:37:54.7128848Z 32 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7128964Z 34 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7129114Z 36 LOAD_CONST 3 ('trunc') 2022-11-23T01:37:54.7129278Z 38 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:37:54.7129370Z 40 CALL_FUNCTION_KW 3 2022-11-23T01:37:54.7129375Z 2022-11-23T01:37:54.7129463Z 1147 42 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7129549Z 44 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7129633Z 46 BINARY_TRUE_DIVIDE 2022-11-23T01:37:54.7129639Z 2022-11-23T01:37:54.7129710Z 1148 48 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7129824Z 50 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7129909Z 52 BINARY_FLOOR_DIVIDE 2022-11-23T01:37:54.7130000Z 54 BUILD_TUPLE 5 2022-11-23T01:37:54.7130076Z 56 RETURN_VALUE 2022-11-23T01:37:54.7130138Z 2022-11-23T01:37:54.7130143Z 2022-11-23T01:37:54.7130422Z [2022-11-23 01:31:32,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1144 2022-11-23T01:37:54.7130648Z [2022-11-23 01:31:32,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.7130946Z [2022-11-23 01:31:32,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable()] 2022-11-23T01:37:54.7131198Z [2022-11-23 01:31:32,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)] 2022-11-23T01:37:54.7131475Z [2022-11-23 01:31:32,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:37:54.7131788Z [2022-11-23 01:31:32,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7132167Z [2022-11-23 01:31:32,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:54.7132571Z [2022-11-23 01:31:32,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)] 2022-11-23T01:37:54.7132840Z [2022-11-23 01:31:32,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1145 2022-11-23T01:37:54.7133087Z [2022-11-23 01:31:32,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:54.7133420Z [2022-11-23 01:31:32,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.7133699Z [2022-11-23 01:31:32,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:37:54.7134005Z [2022-11-23 01:31:32,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:37:54.7134336Z [2022-11-23 01:31:32,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7134732Z [2022-11-23 01:31:32,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:37:54.7135156Z [2022-11-23 01:31:32,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:37:54.7135427Z [2022-11-23 01:31:32,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1146 2022-11-23T01:37:54.7135730Z [2022-11-23 01:31:32,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7136094Z [2022-11-23 01:31:32,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.7136400Z [2022-11-23 01:31:32,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:37:54.7136731Z [2022-11-23 01:31:32,836] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:37:54.7137133Z [2022-11-23 01:31:32,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7137559Z [2022-11-23 01:31:32,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:37:54.7138016Z [2022-11-23 01:31:32,837] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:37:54.7138284Z [2022-11-23 01:31:32,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1147 2022-11-23T01:37:54.7138577Z [2022-11-23 01:31:32,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7139108Z [2022-11-23 01:31:32,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7139493Z [2022-11-23 01:31:32,838] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7139764Z [2022-11-23 01:31:32,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1148 2022-11-23T01:37:54.7140085Z [2022-11-23 01:31:32,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7140437Z [2022-11-23 01:31:32,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7140836Z [2022-11-23 01:31:32,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7141193Z [2022-11-23 01:31:32,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7141444Z [2022-11-23 01:31:32,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7141777Z [2022-11-23 01:31:32,842] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.7142024Z [2022-11-23 01:31:32,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7142263Z [2022-11-23 01:31:32,843] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.7142507Z [2022-11-23 01:31:32,845] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.7142762Z [2022-11-23 01:31:32,855] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.7142954Z [2022-11-23 01:31:32,855] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.7143148Z __compiled_fn_154 .1383 opcode, name, target, args, kwargs 2022-11-23T01:37:54.7143241Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.7143326Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.7143519Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None} 2022-11-23T01:37:54.7143714Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'} 2022-11-23T01:37:54.7143896Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'} 2022-11-23T01:37:54.7144089Z call_function, truediv, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.7144287Z call_function, floordiv, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.7144459Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {} 2022-11-23T01:37:54.7144465Z 2022-11-23T01:37:54.7144748Z [2022-11-23 01:31:32,856] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7144841Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.7144932Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7145025Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.7145102Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.7145176Z 8 RETURN_VALUE 2022-11-23T01:37:54.7145182Z 2022-11-23T01:37:54.7145240Z 2022-11-23T01:37:54.7145516Z [2022-11-23 01:31:32,856] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7145623Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_154) 2022-11-23T01:37:54.7145715Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7145803Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7145876Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.7145951Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7146035Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7146112Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.7146199Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.7146302Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7146403Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7146490Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7146552Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.7146651Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7146736Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7146811Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.7146911Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7146997Z 32 LOAD_CONST 3 (2) 2022-11-23T01:37:54.7147070Z 34 BINARY_SUBSCR 2022-11-23T01:37:54.7147157Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7147242Z 38 LOAD_CONST 4 (3) 2022-11-23T01:37:54.7147318Z 40 BINARY_SUBSCR 2022-11-23T01:37:54.7147415Z 42 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7147499Z 44 LOAD_CONST 5 (4) 2022-11-23T01:37:54.7147571Z 46 BINARY_SUBSCR 2022-11-23T01:37:54.7147658Z 48 BUILD_TUPLE 5 2022-11-23T01:37:54.7147720Z 50 RETURN_VALUE 2022-11-23T01:37:54.7147725Z 2022-11-23T01:37:54.7147783Z 2022-11-23T01:37:54.7147968Z [2022-11-23 01:31:32,857] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.7148039Z - 2022-11-23T01:37:54.7148242Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.7148310Z { 2022-11-23T01:37:54.7148456Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.7148632Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.7148754Z 'obj_weakref': None 2022-11-23T01:37:54.7149021Z 'guarded_class': 2022-11-23T01:37:54.7149091Z } 2022-11-23T01:37:54.7149155Z 2022-11-23T01:37:54.7149227Z - 2022-11-23T01:37:54.7149356Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.7149408Z { 2022-11-23T01:37:54.7149552Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7149661Z 'code': None, 2022-11-23T01:37:54.7149881Z 'obj_weakref': 2022-11-23T01:37:54.7150138Z 'guarded_class': 2022-11-23T01:37:54.7150234Z } 2022-11-23T01:37:54.7150294Z 2022-11-23T01:37:54.7150353Z - 2022-11-23T01:37:54.7150478Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.7150540Z { 2022-11-23T01:37:54.7150684Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7150795Z 'code': None, 2022-11-23T01:37:54.7151009Z 'obj_weakref': 2022-11-23T01:37:54.7151262Z 'guarded_class': 2022-11-23T01:37:54.7151313Z } 2022-11-23T01:37:54.7151373Z 2022-11-23T01:37:54.7151442Z - 2022-11-23T01:37:54.7151573Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.7151638Z { 2022-11-23T01:37:54.7151773Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.7151948Z 'code': ['___check_obj_id(model, 140538738725088)'], 2022-11-23T01:37:54.7152057Z 'obj_weakref': None 2022-11-23T01:37:54.7152292Z 'guarded_class': 2022-11-23T01:37:54.7152354Z } 2022-11-23T01:37:54.7152418Z 2022-11-23T01:37:54.7152487Z - 2022-11-23T01:37:54.7152611Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.7152673Z { 2022-11-23T01:37:54.7152800Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.7153017Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.7153137Z 'obj_weakref': None 2022-11-23T01:37:54.7153358Z 'guarded_class': 2022-11-23T01:37:54.7153419Z } 2022-11-23T01:37:54.7153479Z 2022-11-23T01:37:54.7153548Z - 2022-11-23T01:37:54.7153671Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.7153733Z { 2022-11-23T01:37:54.7153854Z 'guard_types': None, 2022-11-23T01:37:54.7153962Z 'code': None, 2022-11-23T01:37:54.7154081Z 'obj_weakref': None 2022-11-23T01:37:54.7154203Z 'guarded_class': None 2022-11-23T01:37:54.7154264Z } 2022-11-23T01:37:54.7154315Z 2022-11-23T01:37:54.7154576Z [2022-11-23 01:31:32,869] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 153 2022-11-23T01:37:54.7154943Z [2022-11-23 01:31:34,254] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4c/c4c43liznrimxmwk7nrx526or4swqyxz3hacvk2rurb27pijt6r3.py 2022-11-23T01:37:54.7155209Z [2022-11-23 01:31:34,255] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 153 2022-11-23T01:37:54.7155215Z 2022-11-23T01:37:54.7155309Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.7155379Z import torch 2022-11-23T01:37:54.7155449Z import random 2022-11-23T01:37:54.7155562Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.7155670Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.7155675Z 2022-11-23T01:37:54.7155750Z aten = torch.ops.aten 2022-11-23T01:37:54.7155928Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.7156020Z async_compile = AsyncCompile() 2022-11-23T01:37:54.7156025Z 2022-11-23T01:37:54.7156029Z 2022-11-23T01:37:54.7156163Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.7156366Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.7156484Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:37:54.7156586Z const long* __restrict__ in_ptr1, 2022-11-23T01:37:54.7156671Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.7156763Z long* __restrict__ out_ptr1, 2022-11-23T01:37:54.7156892Z long* __restrict__ out_ptr2, 2022-11-23T01:37:54.7156986Z float* __restrict__ out_ptr3, 2022-11-23T01:37:54.7157076Z long* __restrict__ out_ptr4) 2022-11-23T01:37:54.7157135Z { 2022-11-23T01:37:54.7157211Z #pragma GCC ivdep 2022-11-23T01:37:54.7157283Z for(long i0=0; i0<10000; i0+=1) 2022-11-23T01:37:54.7157344Z { 2022-11-23T01:37:54.7157404Z { 2022-11-23T01:37:54.7157467Z { 2022-11-23T01:37:54.7157554Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.7157640Z auto tmp2 = in_ptr1[i0]; 2022-11-23T01:37:54.7157744Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:37:54.7157833Z auto tmp3 = static_cast(tmp2); 2022-11-23T01:37:54.7157916Z auto tmp4 = tmp1 / tmp3; 2022-11-23T01:37:54.7158164Z auto tmp5 = ((tmp0 < 0) != (tmp2 < 0) ? (tmp0 % tmp2 != 0 ? tmp0 / tmp2 - 1 : tmp0 / tmp2) : tmp0 / tmp2); 2022-11-23T01:37:54.7158253Z auto tmp6 = tmp0 / tmp2; 2022-11-23T01:37:54.7158334Z out_ptr0[i0] = tmp4; 2022-11-23T01:37:54.7158410Z out_ptr1[i0] = tmp5; 2022-11-23T01:37:54.7158486Z out_ptr2[i0] = tmp6; 2022-11-23T01:37:54.7158550Z out_ptr3[i0] = tmp4; 2022-11-23T01:37:54.7158629Z out_ptr4[i0] = tmp5; 2022-11-23T01:37:54.7158690Z } 2022-11-23T01:37:54.7158750Z } 2022-11-23T01:37:54.7158810Z } 2022-11-23T01:37:54.7158869Z } 2022-11-23T01:37:54.7158947Z ''') 2022-11-23T01:37:54.7158953Z 2022-11-23T01:37:54.7158957Z 2022-11-23T01:37:54.7159034Z async_compile.wait(globals()) 2022-11-23T01:37:54.7159102Z del async_compile 2022-11-23T01:37:54.7159107Z 2022-11-23T01:37:54.7159175Z def call(args): 2022-11-23T01:37:54.7159249Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.7159319Z args.clear() 2022-11-23T01:37:54.7159526Z buf0 = empty_strided((100, 100), (100, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7159731Z buf1 = empty_strided((100, 100), (100, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7159919Z buf2 = empty_strided((100, 100), (100, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7160122Z buf3 = empty_strided((100, 100), (100, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7160324Z buf4 = empty_strided((100, 100), (100, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7160581Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr())) 2022-11-23T01:37:54.7160650Z del arg0_1 2022-11-23T01:37:54.7160714Z del arg1_1 2022-11-23T01:37:54.7160807Z return (buf0, buf1, buf2, buf3, buf4, ) 2022-11-23T01:37:54.7160813Z 2022-11-23T01:37:54.7160818Z 2022-11-23T01:37:54.7160892Z if __name__ == "__main__": 2022-11-23T01:37:54.7161007Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.7161117Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.7161318Z arg0_1 = rand_strided((100, 100), (100, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7161518Z arg1_1 = rand_strided((100, 100), (100, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7161665Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.7161671Z 2022-11-23T01:37:54.7161738Z ok (1.456s) 2022-11-23T01:37:54.7162042Z test_div8_cpu (__main__.CpuTests) ... [2022-11-23 01:31:34,263] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.7162313Z [2022-11-23 01:31:34,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.7162534Z [2022-11-23 01:31:34,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.7162778Z [2022-11-23 01:31:34,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.7163111Z [2022-11-23 01:31:34,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.7163435Z [2022-11-23 01:31:34,263] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.7163770Z [2022-11-23 01:31:34,263] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.7163865Z 1162 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.7163954Z 2 LOAD_ATTR 1 (div) 2022-11-23T01:37:54.7164043Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7164131Z 6 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7164223Z 8 LOAD_CONST 0 (None) 2022-11-23T01:37:54.7164378Z 10 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:37:54.7164470Z 12 CALL_FUNCTION_KW 3 2022-11-23T01:37:54.7164476Z 2022-11-23T01:37:54.7164568Z 1163 14 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.7164656Z 16 LOAD_ATTR 1 (div) 2022-11-23T01:37:54.7164746Z 18 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7164834Z 20 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7164979Z 22 LOAD_CONST 2 ('floor') 2022-11-23T01:37:54.7165129Z 24 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:37:54.7165222Z 26 CALL_FUNCTION_KW 3 2022-11-23T01:37:54.7165227Z 2022-11-23T01:37:54.7165315Z 1164 28 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.7165401Z 30 LOAD_ATTR 1 (div) 2022-11-23T01:37:54.7165486Z 32 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7165573Z 34 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7165718Z 36 LOAD_CONST 3 ('trunc') 2022-11-23T01:37:54.7165881Z 38 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:37:54.7165959Z 40 CALL_FUNCTION_KW 3 2022-11-23T01:37:54.7165964Z 2022-11-23T01:37:54.7166051Z 1165 42 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7166138Z 44 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7166220Z 46 BINARY_TRUE_DIVIDE 2022-11-23T01:37:54.7166225Z 2022-11-23T01:37:54.7166313Z 1166 48 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7166394Z 50 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7166476Z 52 BINARY_FLOOR_DIVIDE 2022-11-23T01:37:54.7166562Z 54 BUILD_TUPLE 5 2022-11-23T01:37:54.7166624Z 56 RETURN_VALUE 2022-11-23T01:37:54.7166685Z 2022-11-23T01:37:54.7166690Z 2022-11-23T01:37:54.7166966Z [2022-11-23 01:31:34,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1162 2022-11-23T01:37:54.7167187Z [2022-11-23 01:31:34,264] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.7167523Z [2022-11-23 01:31:34,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable()] 2022-11-23T01:37:54.7167780Z [2022-11-23 01:31:34,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)] 2022-11-23T01:37:54.7168072Z [2022-11-23 01:31:34,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), ConstantVariable(int)] 2022-11-23T01:37:54.7168407Z [2022-11-23 01:31:34,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.7168805Z [2022-11-23 01:31:34,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(NoneType)] 2022-11-23T01:37:54.7169250Z [2022-11-23 01:31:34,270] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(tuple)] 2022-11-23T01:37:54.7169524Z [2022-11-23 01:31:34,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1163 2022-11-23T01:37:54.7169774Z [2022-11-23 01:31:34,272] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:54.7170109Z [2022-11-23 01:31:34,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.7170388Z [2022-11-23 01:31:34,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:37:54.7170706Z [2022-11-23 01:31:34,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), ConstantVariable(int)] 2022-11-23T01:37:54.7171067Z [2022-11-23 01:31:34,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.7171486Z [2022-11-23 01:31:34,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(str)] 2022-11-23T01:37:54.7171932Z [2022-11-23 01:31:34,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:37:54.7172205Z [2022-11-23 01:31:34,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1164 2022-11-23T01:37:54.7172486Z [2022-11-23 01:31:34,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7172845Z [2022-11-23 01:31:34,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.7179487Z [2022-11-23 01:31:34,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:37:54.7179931Z [2022-11-23 01:31:34,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), ConstantVariable(int)] 2022-11-23T01:37:54.7180336Z [2022-11-23 01:31:34,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.7180786Z [2022-11-23 01:31:34,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(str)] 2022-11-23T01:37:54.7181379Z [2022-11-23 01:31:34,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), ConstantVariable(int), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:37:54.7181663Z [2022-11-23 01:31:34,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1165 2022-11-23T01:37:54.7181951Z [2022-11-23 01:31:34,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7182279Z [2022-11-23 01:31:34,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.7182667Z [2022-11-23 01:31:34,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.7182988Z [2022-11-23 01:31:34,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1166 2022-11-23T01:37:54.7183328Z [2022-11-23 01:31:34,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:37:54.7183698Z [2022-11-23 01:31:34,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int)] 2022-11-23T01:37:54.7184125Z [2022-11-23 01:31:34,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.7184503Z [2022-11-23 01:31:34,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int)] 2022-11-23T01:37:54.7184758Z [2022-11-23 01:31:34,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7185096Z [2022-11-23 01:31:34,288] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.7185344Z [2022-11-23 01:31:34,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7185569Z [2022-11-23 01:31:34,288] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.7185829Z [2022-11-23 01:31:34,289] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.7186080Z [2022-11-23 01:31:34,294] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.7186276Z [2022-11-23 01:31:34,294] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.7186413Z __compiled_fn_155 .1389 opcode, name, target, args, kwargs 2022-11-23T01:37:54.7186599Z call_function, div, aten.div, (1024, 100), {'rounding_mode': None} 2022-11-23T01:37:54.7186789Z call_function, div_1, aten.div, (1024, 100), {'rounding_mode': 'floor'} 2022-11-23T01:37:54.7186976Z call_function, div_2, aten.div, (1024, 100), {'rounding_mode': 'trunc'} 2022-11-23T01:37:54.7187082Z output, output, output, ((div, div_1, div_2),), {} 2022-11-23T01:37:54.7187090Z 2022-11-23T01:37:54.7187358Z [2022-11-23 01:31:34,294] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7187453Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.7187543Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7187633Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.7187724Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.7187797Z 8 RETURN_VALUE 2022-11-23T01:37:54.7187803Z 2022-11-23T01:37:54.7187861Z 2022-11-23T01:37:54.7188213Z [2022-11-23 01:31:34,294] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7188352Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_155) 2022-11-23T01:37:54.7188445Z 2 CALL_FUNCTION 0 2022-11-23T01:37:54.7188548Z 4 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7188647Z 6 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7188734Z 8 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7188810Z 10 BINARY_SUBSCR 2022-11-23T01:37:54.7188912Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7188987Z 14 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7189096Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.7189194Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7189279Z 20 LOAD_CONST 3 (2) 2022-11-23T01:37:54.7189354Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.7189443Z 24 LOAD_CONST 4 (10.24) 2022-11-23T01:37:54.7189532Z 26 LOAD_CONST 5 (10) 2022-11-23T01:37:54.7189608Z 28 BUILD_TUPLE 5 2022-11-23T01:37:54.7189682Z 30 RETURN_VALUE 2022-11-23T01:37:54.7189687Z 2022-11-23T01:37:54.7189744Z 2022-11-23T01:37:54.7189935Z [2022-11-23 01:31:34,295] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.7190005Z - 2022-11-23T01:37:54.7190127Z local 'ex' EQUALS_MATCH 2022-11-23T01:37:54.7190190Z { 2022-11-23T01:37:54.7190349Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:37:54.7190684Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2', '___check_type_id(ex[0], 93851402553120)', '___check_type_id(ex[1], 93851402553120)', 'ex == (1024, 100)'], 2022-11-23T01:37:54.7190884Z 'obj_weakref': None 2022-11-23T01:37:54.7191157Z 'guarded_class': 2022-11-23T01:37:54.7191221Z } 2022-11-23T01:37:54.7191288Z 2022-11-23T01:37:54.7191357Z - 2022-11-23T01:37:54.7191488Z local 'ex[0]' CONSTANT_MATCH 2022-11-23T01:37:54.7191540Z { 2022-11-23T01:37:54.7191682Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:54.7191876Z 'code': ['___check_type_id(ex[0], 93851402553120)', 'ex[0] == 1024'], 2022-11-23T01:37:54.7192001Z 'obj_weakref': None 2022-11-23T01:37:54.7192224Z 'guarded_class': 2022-11-23T01:37:54.7192287Z } 2022-11-23T01:37:54.7192352Z 2022-11-23T01:37:54.7192410Z - 2022-11-23T01:37:54.7192544Z local 'ex[1]' CONSTANT_MATCH 2022-11-23T01:37:54.7192605Z { 2022-11-23T01:37:54.7192752Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:54.7192945Z 'code': ['___check_type_id(ex[1], 93851402553120)', 'ex[1] == 100'], 2022-11-23T01:37:54.7193067Z 'obj_weakref': None 2022-11-23T01:37:54.7193291Z 'guarded_class': 2022-11-23T01:37:54.7193343Z } 2022-11-23T01:37:54.7193404Z 2022-11-23T01:37:54.7193472Z - 2022-11-23T01:37:54.7193603Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.7193664Z { 2022-11-23T01:37:54.7193798Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.7193970Z 'code': ['___check_obj_id(model, 140538739949440)'], 2022-11-23T01:37:54.7194078Z 'obj_weakref': None 2022-11-23T01:37:54.7194308Z 'guarded_class': 2022-11-23T01:37:54.7194370Z } 2022-11-23T01:37:54.7194432Z 2022-11-23T01:37:54.7194502Z - 2022-11-23T01:37:54.7194625Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.7194687Z { 2022-11-23T01:37:54.7194851Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.7195074Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.7195195Z 'obj_weakref': None 2022-11-23T01:37:54.7195417Z 'guarded_class': 2022-11-23T01:37:54.7195479Z } 2022-11-23T01:37:54.7195540Z 2022-11-23T01:37:54.7195609Z - 2022-11-23T01:37:54.7195729Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.7195791Z { 2022-11-23T01:37:54.7195911Z 'guard_types': None, 2022-11-23T01:37:54.7196057Z 'code': None, 2022-11-23T01:37:54.7196177Z 'obj_weakref': None 2022-11-23T01:37:54.7196297Z 'guarded_class': None 2022-11-23T01:37:54.7196347Z } 2022-11-23T01:37:54.7196405Z 2022-11-23T01:37:54.7196668Z [2022-11-23 01:31:34,303] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 154 2022-11-23T01:37:54.7197043Z [2022-11-23 01:31:35,806] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/t3/ct3rcykxbr22hviahpp2pahfhco4zrxvgbfpvqte43b2ixijilnf.py 2022-11-23T01:37:54.7197310Z [2022-11-23 01:31:35,807] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 154 2022-11-23T01:37:54.7197317Z 2022-11-23T01:37:54.7197410Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.7197478Z import torch 2022-11-23T01:37:54.7197545Z import random 2022-11-23T01:37:54.7197647Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.7197770Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.7197775Z 2022-11-23T01:37:54.7197852Z aten = torch.ops.aten 2022-11-23T01:37:54.7197983Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.7198074Z async_compile = AsyncCompile() 2022-11-23T01:37:54.7198079Z 2022-11-23T01:37:54.7198083Z 2022-11-23T01:37:54.7198220Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.7198426Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.7198535Z extern "C" void kernel(long* __restrict__ out_ptr0, 2022-11-23T01:37:54.7198616Z long* __restrict__ out_ptr1, 2022-11-23T01:37:54.7198705Z long* __restrict__ out_ptr2) 2022-11-23T01:37:54.7198762Z { 2022-11-23T01:37:54.7198824Z { 2022-11-23T01:37:54.7198885Z { 2022-11-23T01:37:54.7198988Z auto tmp0 = static_cast(1024); 2022-11-23T01:37:54.7199085Z auto tmp1 = static_cast(100); 2022-11-23T01:37:54.7199159Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:54.7199236Z out_ptr0[0] = tmp2; 2022-11-23T01:37:54.7199295Z } 2022-11-23T01:37:54.7199354Z } 2022-11-23T01:37:54.7199413Z { 2022-11-23T01:37:54.7199471Z { 2022-11-23T01:37:54.7199568Z auto tmp0 = static_cast(1024); 2022-11-23T01:37:54.7199655Z auto tmp1 = static_cast(100); 2022-11-23T01:37:54.7199900Z auto tmp2 = ((tmp0 < 0) != (tmp1 < 0) ? (tmp0 % tmp1 != 0 ? tmp0 / tmp1 - 1 : tmp0 / tmp1) : tmp0 / tmp1); 2022-11-23T01:37:54.7199979Z out_ptr1[0] = tmp2; 2022-11-23T01:37:54.7200042Z } 2022-11-23T01:37:54.7200102Z } 2022-11-23T01:37:54.7200159Z { 2022-11-23T01:37:54.7200217Z { 2022-11-23T01:37:54.7200303Z auto tmp0 = static_cast(1024); 2022-11-23T01:37:54.7200399Z auto tmp1 = static_cast(100); 2022-11-23T01:37:54.7200480Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:54.7200557Z out_ptr2[0] = tmp2; 2022-11-23T01:37:54.7200618Z } 2022-11-23T01:37:54.7200675Z } 2022-11-23T01:37:54.7200722Z } 2022-11-23T01:37:54.7200801Z ''') 2022-11-23T01:37:54.7200806Z 2022-11-23T01:37:54.7200811Z 2022-11-23T01:37:54.7200903Z async_compile.wait(globals()) 2022-11-23T01:37:54.7200972Z del async_compile 2022-11-23T01:37:54.7201011Z 2022-11-23T01:37:54.7201081Z def call(args): 2022-11-23T01:37:54.7201265Z buf0 = empty_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7201447Z buf1 = empty_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7201626Z buf2 = empty_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7201774Z kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:37:54.7201856Z return (buf0, buf1, buf2, ) 2022-11-23T01:37:54.7201861Z 2022-11-23T01:37:54.7201865Z 2022-11-23T01:37:54.7201996Z if __name__ == "__main__": 2022-11-23T01:37:54.7202109Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.7202229Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.7202328Z print_performance(lambda: call([])) 2022-11-23T01:37:54.7202333Z 2022-11-23T01:37:54.7202397Z ok (1.551s) 2022-11-23T01:37:54.7202711Z test_div_prim_cpu (__main__.CpuTests) ... [2022-11-23 01:31:35,815] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.7202983Z [2022-11-23 01:31:35,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.7203190Z [2022-11-23 01:31:35,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.7203446Z [2022-11-23 01:31:35,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.7203736Z [2022-11-23 01:31:35,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.7204065Z [2022-11-23 01:31:35,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.7204398Z [2022-11-23 01:31:35,816] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.7204496Z 1199 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.7204587Z 2 LOAD_ATTR 1 (ops) 2022-11-23T01:37:54.7204679Z 4 LOAD_ATTR 2 (prims) 2022-11-23T01:37:54.7204769Z 6 LOAD_METHOD 3 (div) 2022-11-23T01:37:54.7204847Z 8 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7204937Z 10 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7205025Z 12 CALL_METHOD 2 2022-11-23T01:37:54.7205112Z 14 BUILD_TUPLE 1 2022-11-23T01:37:54.7205189Z 16 RETURN_VALUE 2022-11-23T01:37:54.7205249Z 2022-11-23T01:37:54.7205254Z 2022-11-23T01:37:54.7205525Z [2022-11-23 01:31:35,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1199 2022-11-23T01:37:54.7205736Z [2022-11-23 01:31:35,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.7206104Z [2022-11-23 01:31:35,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:37:54.7206404Z [2022-11-23 01:31:35,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable()] 2022-11-23T01:37:54.7206712Z [2022-11-23 01:31:35,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable()] 2022-11-23T01:37:54.7206965Z [2022-11-23 01:31:35,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(prims.div)] 2022-11-23T01:37:54.7207250Z [2022-11-23 01:31:35,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(prims.div), TensorVariable()] 2022-11-23T01:37:54.7207592Z [2022-11-23 01:31:35,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(prims.div), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7207839Z [2022-11-23 01:31:35,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:54.7208088Z [2022-11-23 01:31:35,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7208421Z [2022-11-23 01:31:35,825] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.7208657Z [2022-11-23 01:31:35,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7208924Z [2022-11-23 01:31:35,825] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.7209181Z [2022-11-23 01:31:35,826] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.7209436Z [2022-11-23 01:31:35,829] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.7209625Z [2022-11-23 01:31:35,829] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.7209758Z __compiled_fn_156 .1395 opcode, name, target, args, kwargs 2022-11-23T01:37:54.7209846Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.7209932Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.7210027Z call_function, div, prims.div, (ex_0_, ex_1_), {} 2022-11-23T01:37:54.7210118Z output, output, output, ((div,),), {} 2022-11-23T01:37:54.7210124Z 2022-11-23T01:37:54.7210403Z [2022-11-23 01:31:35,830] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7210499Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.7210589Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7210679Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.7210767Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.7210843Z 8 RETURN_VALUE 2022-11-23T01:37:54.7210848Z 2022-11-23T01:37:54.7210895Z 2022-11-23T01:37:54.7211168Z [2022-11-23 01:31:35,830] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7211275Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_156) 2022-11-23T01:37:54.7211365Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7211452Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7211528Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.7211615Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7211702Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7211764Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.7211849Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.7211952Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7212053Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7212141Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7212215Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.7212301Z 24 BUILD_TUPLE 1 2022-11-23T01:37:54.7212363Z 26 RETURN_VALUE 2022-11-23T01:37:54.7212367Z 2022-11-23T01:37:54.7212426Z 2022-11-23T01:37:54.7212608Z [2022-11-23 01:31:35,831] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.7212679Z - 2022-11-23T01:37:54.7212799Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.7212862Z { 2022-11-23T01:37:54.7212999Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.7213179Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.7213306Z 'obj_weakref': None 2022-11-23T01:37:54.7213531Z 'guarded_class': 2022-11-23T01:37:54.7213593Z } 2022-11-23T01:37:54.7213655Z 2022-11-23T01:37:54.7213746Z - 2022-11-23T01:37:54.7213875Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.7213938Z { 2022-11-23T01:37:54.7214082Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7214190Z 'code': None, 2022-11-23T01:37:54.7214408Z 'obj_weakref': 2022-11-23T01:37:54.7214664Z 'guarded_class': 2022-11-23T01:37:54.7214716Z } 2022-11-23T01:37:54.7214782Z 2022-11-23T01:37:54.7214900Z - 2022-11-23T01:37:54.7215024Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.7215088Z { 2022-11-23T01:37:54.7215234Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7215328Z 'code': None, 2022-11-23T01:37:54.7215542Z 'obj_weakref': 2022-11-23T01:37:54.7215799Z 'guarded_class': 2022-11-23T01:37:54.7215863Z } 2022-11-23T01:37:54.7215925Z 2022-11-23T01:37:54.7215994Z - 2022-11-23T01:37:54.7216128Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.7216179Z { 2022-11-23T01:37:54.7216314Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.7216485Z 'code': ['___check_obj_id(model, 140538745162496)'], 2022-11-23T01:37:54.7216607Z 'obj_weakref': None 2022-11-23T01:37:54.7216846Z 'guarded_class': 2022-11-23T01:37:54.7216909Z } 2022-11-23T01:37:54.7216971Z 2022-11-23T01:37:54.7217043Z - 2022-11-23T01:37:54.7217155Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.7217219Z { 2022-11-23T01:37:54.7217362Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.7217583Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.7217704Z 'obj_weakref': None 2022-11-23T01:37:54.7217926Z 'guarded_class': 2022-11-23T01:37:54.7217989Z } 2022-11-23T01:37:54.7218039Z 2022-11-23T01:37:54.7218111Z - 2022-11-23T01:37:54.7218247Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.7218311Z { 2022-11-23T01:37:54.7218435Z 'guard_types': None, 2022-11-23T01:37:54.7218550Z 'code': None, 2022-11-23T01:37:54.7218659Z 'obj_weakref': None 2022-11-23T01:37:54.7218964Z 'guarded_class': None 2022-11-23T01:37:54.7219071Z } 2022-11-23T01:37:54.7219162Z 2022-11-23T01:37:54.7219442Z [2022-11-23 01:31:35,837] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 155 2022-11-23T01:37:54.7219826Z [2022-11-23 01:31:37,225] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/em/cemndekekxg5dnyxhfpgizbv7df5jpq2uxjbhblsyk2tdeyd6wxp.py 2022-11-23T01:37:54.7220096Z [2022-11-23 01:31:37,225] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 155 2022-11-23T01:37:54.7220337Z [2022-11-23 01:31:37,232] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.7220595Z [2022-11-23 01:31:37,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.7220821Z [2022-11-23 01:31:37,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.7221076Z [2022-11-23 01:31:37,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.7221431Z [2022-11-23 01:31:37,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.7221763Z [2022-11-23 01:31:37,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.7222094Z [2022-11-23 01:31:37,232] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.7222193Z 1199 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.7222287Z 2 LOAD_ATTR 1 (ops) 2022-11-23T01:37:54.7222382Z 4 LOAD_ATTR 2 (prims) 2022-11-23T01:37:54.7222501Z 6 LOAD_METHOD 3 (div) 2022-11-23T01:37:54.7222593Z 8 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7222682Z 10 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7222771Z 12 CALL_METHOD 2 2022-11-23T01:37:54.7222861Z 14 BUILD_TUPLE 1 2022-11-23T01:37:54.7222944Z 16 RETURN_VALUE 2022-11-23T01:37:54.7223006Z 2022-11-23T01:37:54.7223012Z 2022-11-23T01:37:54.7223285Z [2022-11-23 01:31:37,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1199 2022-11-23T01:37:54.7223492Z [2022-11-23 01:31:37,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.7223856Z [2022-11-23 01:31:37,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:37:54.7224158Z [2022-11-23 01:31:37,233] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable()] 2022-11-23T01:37:54.7224471Z [2022-11-23 01:31:37,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable()] 2022-11-23T01:37:54.7224730Z [2022-11-23 01:31:37,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(prims.div)] 2022-11-23T01:37:54.7225013Z [2022-11-23 01:31:37,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(prims.div), TensorVariable()] 2022-11-23T01:37:54.7225330Z [2022-11-23 01:31:37,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(prims.div), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7225571Z [2022-11-23 01:31:37,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:54.7225821Z [2022-11-23 01:31:37,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7226154Z [2022-11-23 01:31:37,241] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.7226389Z [2022-11-23 01:31:37,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7226627Z [2022-11-23 01:31:37,241] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.7226884Z [2022-11-23 01:31:37,242] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.7227136Z [2022-11-23 01:31:37,245] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.7227329Z [2022-11-23 01:31:37,246] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.7227461Z __compiled_fn_157 .1401 opcode, name, target, args, kwargs 2022-11-23T01:37:54.7227555Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.7227641Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.7227737Z call_function, div, prims.div, (ex_0_, ex_1_), {} 2022-11-23T01:37:54.7227830Z output, output, output, ((div,),), {} 2022-11-23T01:37:54.7227835Z 2022-11-23T01:37:54.7228232Z [2022-11-23 01:31:37,246] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7228335Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.7228430Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7228521Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.7228609Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.7228691Z 8 RETURN_VALUE 2022-11-23T01:37:54.7228696Z 2022-11-23T01:37:54.7228744Z 2022-11-23T01:37:54.7229027Z [2022-11-23 01:31:37,246] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7229167Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_157) 2022-11-23T01:37:54.7229255Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7229344Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7229420Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.7229507Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7229585Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7229660Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.7229746Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.7229849Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7229949Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7230037Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7230112Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.7230199Z 24 BUILD_TUPLE 1 2022-11-23T01:37:54.7230261Z 26 RETURN_VALUE 2022-11-23T01:37:54.7230268Z 2022-11-23T01:37:54.7230328Z 2022-11-23T01:37:54.7230514Z [2022-11-23 01:31:37,247] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.7230586Z - 2022-11-23T01:37:54.7230707Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.7230769Z { 2022-11-23T01:37:54.7230909Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.7231090Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.7231214Z 'obj_weakref': None 2022-11-23T01:37:54.7231440Z 'guarded_class': 2022-11-23T01:37:54.7231504Z } 2022-11-23T01:37:54.7231565Z 2022-11-23T01:37:54.7231632Z - 2022-11-23T01:37:54.7231758Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.7231808Z { 2022-11-23T01:37:54.7231950Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7232058Z 'code': None, 2022-11-23T01:37:54.7232275Z 'obj_weakref': 2022-11-23T01:37:54.7232536Z 'guarded_class': 2022-11-23T01:37:54.7232598Z } 2022-11-23T01:37:54.7232659Z 2022-11-23T01:37:54.7232718Z - 2022-11-23T01:37:54.7232844Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.7232906Z { 2022-11-23T01:37:54.7233051Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7233158Z 'code': None, 2022-11-23T01:37:54.7233370Z 'obj_weakref': 2022-11-23T01:37:54.7233620Z 'guarded_class': 2022-11-23T01:37:54.7233670Z } 2022-11-23T01:37:54.7233731Z 2022-11-23T01:37:54.7233803Z - 2022-11-23T01:37:54.7233935Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.7233998Z { 2022-11-23T01:37:54.7234132Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.7234304Z 'code': ['___check_obj_id(model, 140538745162496)'], 2022-11-23T01:37:54.7234412Z 'obj_weakref': None 2022-11-23T01:37:54.7234672Z 'guarded_class': 2022-11-23T01:37:54.7234738Z } 2022-11-23T01:37:54.7234797Z 2022-11-23T01:37:54.7234867Z - 2022-11-23T01:37:54.7234988Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.7235050Z { 2022-11-23T01:37:54.7235176Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.7235392Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.7235511Z 'obj_weakref': None 2022-11-23T01:37:54.7235733Z 'guarded_class': 2022-11-23T01:37:54.7235827Z } 2022-11-23T01:37:54.7235888Z 2022-11-23T01:37:54.7235957Z - 2022-11-23T01:37:54.7236081Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.7236141Z { 2022-11-23T01:37:54.7236263Z 'guard_types': None, 2022-11-23T01:37:54.7236373Z 'code': None, 2022-11-23T01:37:54.7236492Z 'obj_weakref': None 2022-11-23T01:37:54.7236614Z 'guarded_class': None 2022-11-23T01:37:54.7236664Z } 2022-11-23T01:37:54.7236727Z 2022-11-23T01:37:54.7236988Z [2022-11-23 01:31:37,252] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 156 2022-11-23T01:37:54.7237353Z [2022-11-23 01:31:38,629] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vk/cvkl25faaomc5ki5wrnx2fij2iw7jthbgizq6le752vkr4tnsfyg.py 2022-11-23T01:37:54.7237622Z [2022-11-23 01:31:38,630] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 156 2022-11-23T01:37:54.7237630Z 2022-11-23T01:37:54.7237724Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.7237791Z import torch 2022-11-23T01:37:54.7237859Z import random 2022-11-23T01:37:54.7237961Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.7238080Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.7238086Z 2022-11-23T01:37:54.7238163Z aten = torch.ops.aten 2022-11-23T01:37:54.7238295Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.7238386Z async_compile = AsyncCompile() 2022-11-23T01:37:54.7238391Z 2022-11-23T01:37:54.7238396Z 2022-11-23T01:37:54.7238531Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.7238736Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.7238855Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.7238959Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.7239046Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.7239106Z { 2022-11-23T01:37:54.7239188Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:37:54.7239247Z { 2022-11-23T01:37:54.7239394Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:54.7239525Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:54.7239609Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:54.7239684Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.7239744Z } 2022-11-23T01:37:54.7239830Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.7239910Z for(long i0=96; i0<100; i0+=1) 2022-11-23T01:37:54.7239970Z { 2022-11-23T01:37:54.7240049Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.7240116Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:54.7240193Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:54.7240270Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:54.7240329Z } 2022-11-23T01:37:54.7240389Z } 2022-11-23T01:37:54.7240467Z ''') 2022-11-23T01:37:54.7240472Z 2022-11-23T01:37:54.7240477Z 2022-11-23T01:37:54.7240564Z async_compile.wait(globals()) 2022-11-23T01:37:54.7240635Z del async_compile 2022-11-23T01:37:54.7240640Z 2022-11-23T01:37:54.7240697Z def call(args): 2022-11-23T01:37:54.7240808Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.7240879Z args.clear() 2022-11-23T01:37:54.7241079Z buf0 = empty_strided((100, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7241243Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.7241309Z del arg0_1 2022-11-23T01:37:54.7241375Z del arg1_1 2022-11-23T01:37:54.7241433Z return (buf0, ) 2022-11-23T01:37:54.7241438Z 2022-11-23T01:37:54.7241442Z 2022-11-23T01:37:54.7241515Z if __name__ == "__main__": 2022-11-23T01:37:54.7241627Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.7241782Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.7241986Z arg0_1 = rand_strided((100, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7242182Z arg1_1 = rand_strided((100, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7242298Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.7242303Z 2022-11-23T01:37:54.7242307Z 2022-11-23T01:37:54.7242400Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.7242456Z import torch 2022-11-23T01:37:54.7242523Z import random 2022-11-23T01:37:54.7242634Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.7242751Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.7242756Z 2022-11-23T01:37:54.7242831Z aten = torch.ops.aten 2022-11-23T01:37:54.7242964Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.7243054Z async_compile = AsyncCompile() 2022-11-23T01:37:54.7243061Z 2022-11-23T01:37:54.7243065Z 2022-11-23T01:37:54.7243201Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.7243394Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.7243512Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:37:54.7243616Z const long* __restrict__ in_ptr1, 2022-11-23T01:37:54.7243712Z long* __restrict__ out_ptr0) 2022-11-23T01:37:54.7243772Z { 2022-11-23T01:37:54.7243846Z #pragma GCC ivdep 2022-11-23T01:37:54.7243926Z for(long i0=0; i0<100; i0+=1) 2022-11-23T01:37:54.7243973Z { 2022-11-23T01:37:54.7244037Z { 2022-11-23T01:37:54.7244097Z { 2022-11-23T01:37:54.7244184Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.7244271Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:54.7244357Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:54.7244438Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:54.7244491Z } 2022-11-23T01:37:54.7244552Z } 2022-11-23T01:37:54.7244610Z } 2022-11-23T01:37:54.7244669Z } 2022-11-23T01:37:54.7244750Z ''') 2022-11-23T01:37:54.7244755Z 2022-11-23T01:37:54.7244759Z 2022-11-23T01:37:54.7244847Z async_compile.wait(globals()) 2022-11-23T01:37:54.7244917Z del async_compile 2022-11-23T01:37:54.7244922Z 2022-11-23T01:37:54.7244980Z def call(args): 2022-11-23T01:37:54.7245053Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.7245123Z args.clear() 2022-11-23T01:37:54.7245314Z buf0 = empty_strided((100, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7245476Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.7245543Z del arg0_1 2022-11-23T01:37:54.7245607Z del arg1_1 2022-11-23T01:37:54.7245664Z return (buf0, ) 2022-11-23T01:37:54.7245669Z 2022-11-23T01:37:54.7245684Z 2022-11-23T01:37:54.7245745Z if __name__ == "__main__": 2022-11-23T01:37:54.7245860Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.7245982Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.7246175Z arg0_1 = rand_strided((100, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7246367Z arg1_1 = rand_strided((100, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7246511Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.7246517Z 2022-11-23T01:37:54.7246585Z ok (2.822s) 2022-11-23T01:37:54.7246890Z test_div_zero_dim_cpu (__main__.CpuTests) ... [2022-11-23 01:31:38,638] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.7247163Z [2022-11-23 01:31:38,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.7247381Z [2022-11-23 01:31:38,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.7247639Z [2022-11-23 01:31:38,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.7247961Z [2022-11-23 01:31:38,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.7248288Z [2022-11-23 01:31:38,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.7248616Z [2022-11-23 01:31:38,639] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.7248711Z 1174 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.7248801Z 2 LOAD_ATTR 1 (div) 2022-11-23T01:37:54.7248879Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7248967Z 6 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7249059Z 8 LOAD_CONST 0 (None) 2022-11-23T01:37:54.7249228Z 10 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:37:54.7249320Z 12 CALL_FUNCTION_KW 3 2022-11-23T01:37:54.7249325Z 2022-11-23T01:37:54.7249415Z 1175 14 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.7249503Z 16 LOAD_ATTR 1 (div) 2022-11-23T01:37:54.7249592Z 18 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7249668Z 20 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7249813Z 22 LOAD_CONST 2 ('floor') 2022-11-23T01:37:54.7249975Z 24 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:37:54.7250064Z 26 CALL_FUNCTION_KW 3 2022-11-23T01:37:54.7250068Z 2022-11-23T01:37:54.7250158Z 1176 28 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.7250244Z 30 LOAD_ATTR 1 (div) 2022-11-23T01:37:54.7250332Z 32 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7250419Z 34 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7250552Z 36 LOAD_CONST 3 ('trunc') 2022-11-23T01:37:54.7250712Z 38 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:37:54.7250802Z 40 CALL_FUNCTION_KW 3 2022-11-23T01:37:54.7250806Z 2022-11-23T01:37:54.7250893Z 1177 42 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7250979Z 44 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7251061Z 46 BINARY_TRUE_DIVIDE 2022-11-23T01:37:54.7251066Z 2022-11-23T01:37:54.7251152Z 1178 48 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7251227Z 50 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7251310Z 52 BINARY_FLOOR_DIVIDE 2022-11-23T01:37:54.7251398Z 54 BUILD_TUPLE 5 2022-11-23T01:37:54.7251472Z 56 RETURN_VALUE 2022-11-23T01:37:54.7251530Z 2022-11-23T01:37:54.7251535Z 2022-11-23T01:37:54.7251809Z [2022-11-23 01:31:38,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1174 2022-11-23T01:37:54.7252031Z [2022-11-23 01:31:38,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.7252366Z [2022-11-23 01:31:38,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable()] 2022-11-23T01:37:54.7252620Z [2022-11-23 01:31:38,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)] 2022-11-23T01:37:54.7252884Z [2022-11-23 01:31:38,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:37:54.7253193Z [2022-11-23 01:31:38,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7253571Z [2022-11-23 01:31:38,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:54.7254012Z [2022-11-23 01:31:38,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)] 2022-11-23T01:37:54.7254285Z [2022-11-23 01:31:38,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1175 2022-11-23T01:37:54.7254533Z [2022-11-23 01:31:38,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:54.7254864Z [2022-11-23 01:31:38,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.7255139Z [2022-11-23 01:31:38,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:37:54.7255442Z [2022-11-23 01:31:38,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:37:54.7255787Z [2022-11-23 01:31:38,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7256188Z [2022-11-23 01:31:38,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:37:54.7256603Z [2022-11-23 01:31:38,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:37:54.7256873Z [2022-11-23 01:31:38,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1176 2022-11-23T01:37:54.7257143Z [2022-11-23 01:31:38,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7257505Z [2022-11-23 01:31:38,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.7257811Z [2022-11-23 01:31:38,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:37:54.7258148Z [2022-11-23 01:31:38,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:37:54.7258519Z [2022-11-23 01:31:38,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7259156Z [2022-11-23 01:31:38,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:37:54.7259624Z [2022-11-23 01:31:38,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:37:54.7259949Z [2022-11-23 01:31:38,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1177 2022-11-23T01:37:54.7260246Z [2022-11-23 01:31:38,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7260568Z [2022-11-23 01:31:38,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7260940Z [2022-11-23 01:31:38,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7261254Z [2022-11-23 01:31:38,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1178 2022-11-23T01:37:54.7261574Z [2022-11-23 01:31:38,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7261926Z [2022-11-23 01:31:38,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7262329Z [2022-11-23 01:31:38,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7262685Z [2022-11-23 01:31:38,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7262940Z [2022-11-23 01:31:38,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7263279Z [2022-11-23 01:31:38,669] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.7263530Z [2022-11-23 01:31:38,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7263771Z [2022-11-23 01:31:38,669] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.7264027Z [2022-11-23 01:31:38,670] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.7264268Z [2022-11-23 01:31:38,680] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.7264463Z [2022-11-23 01:31:38,680] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.7264604Z __compiled_fn_158 .1407 opcode, name, target, args, kwargs 2022-11-23T01:37:54.7264696Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.7264784Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.7264975Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None} 2022-11-23T01:37:54.7265173Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'} 2022-11-23T01:37:54.7265370Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'} 2022-11-23T01:37:54.7265551Z call_function, truediv, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.7265751Z call_function, floordiv, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.7265883Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {} 2022-11-23T01:37:54.7265889Z 2022-11-23T01:37:54.7266174Z [2022-11-23 01:31:38,681] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7266273Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.7266365Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7266459Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.7266549Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.7266611Z 8 RETURN_VALUE 2022-11-23T01:37:54.7266630Z 2022-11-23T01:37:54.7266710Z 2022-11-23T01:37:54.7266990Z [2022-11-23 01:31:38,681] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7267103Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_158) 2022-11-23T01:37:54.7267193Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7267281Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7267359Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.7267449Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7267525Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7267637Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.7267725Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.7267831Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7267934Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7268023Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7268163Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.7268260Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7268349Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7268425Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.7268527Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7268615Z 32 LOAD_CONST 3 (2) 2022-11-23T01:37:54.7268690Z 34 BINARY_SUBSCR 2022-11-23T01:37:54.7268791Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7268866Z 38 LOAD_CONST 4 (3) 2022-11-23T01:37:54.7268943Z 40 BINARY_SUBSCR 2022-11-23T01:37:54.7269043Z 42 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7269131Z 44 LOAD_CONST 5 (4) 2022-11-23T01:37:54.7269203Z 46 BINARY_SUBSCR 2022-11-23T01:37:54.7269294Z 48 BUILD_TUPLE 5 2022-11-23T01:37:54.7269370Z 50 RETURN_VALUE 2022-11-23T01:37:54.7269376Z 2022-11-23T01:37:54.7269423Z 2022-11-23T01:37:54.7269611Z [2022-11-23 01:31:38,682] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.7269683Z - 2022-11-23T01:37:54.7269804Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.7269867Z { 2022-11-23T01:37:54.7270010Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.7270201Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.7270310Z 'obj_weakref': None 2022-11-23T01:37:54.7270540Z 'guarded_class': 2022-11-23T01:37:54.7270607Z } 2022-11-23T01:37:54.7270666Z 2022-11-23T01:37:54.7270736Z - 2022-11-23T01:37:54.7270863Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.7270926Z { 2022-11-23T01:37:54.7271061Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7271169Z 'code': None, 2022-11-23T01:37:54.7271383Z 'obj_weakref': 2022-11-23T01:37:54.7271643Z 'guarded_class': 2022-11-23T01:37:54.7271706Z } 2022-11-23T01:37:54.7271766Z 2022-11-23T01:37:54.7271836Z - 2022-11-23T01:37:54.7271949Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.7272013Z { 2022-11-23T01:37:54.7272157Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7272268Z 'code': None, 2022-11-23T01:37:54.7272481Z 'obj_weakref': 2022-11-23T01:37:54.7272735Z 'guarded_class': 2022-11-23T01:37:54.7272798Z } 2022-11-23T01:37:54.7272893Z 2022-11-23T01:37:54.7272953Z - 2022-11-23T01:37:54.7273085Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.7273150Z { 2022-11-23T01:37:54.7273286Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.7273458Z 'code': ['___check_obj_id(model, 140538737480480)'], 2022-11-23T01:37:54.7273579Z 'obj_weakref': None 2022-11-23T01:37:54.7273802Z 'guarded_class': 2022-11-23T01:37:54.7273865Z } 2022-11-23T01:37:54.7273925Z 2022-11-23T01:37:54.7274024Z - 2022-11-23T01:37:54.7274148Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.7274211Z { 2022-11-23T01:37:54.7274346Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.7274551Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.7274675Z 'obj_weakref': None 2022-11-23T01:37:54.7274895Z 'guarded_class': 2022-11-23T01:37:54.7274957Z } 2022-11-23T01:37:54.7275017Z 2022-11-23T01:37:54.7275085Z - 2022-11-23T01:37:54.7275219Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.7275269Z { 2022-11-23T01:37:54.7275389Z 'guard_types': None, 2022-11-23T01:37:54.7275496Z 'code': None, 2022-11-23T01:37:54.7275615Z 'obj_weakref': None 2022-11-23T01:37:54.7275737Z 'guarded_class': None 2022-11-23T01:37:54.7275801Z } 2022-11-23T01:37:54.7275861Z 2022-11-23T01:37:54.7276112Z [2022-11-23 01:31:38,697] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 157 2022-11-23T01:37:54.7276480Z [2022-11-23 01:31:40,151] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zt/cztddbem34nuydujjyzua43gg7flak3x37dej6v4ui2doyfolxzb.py 2022-11-23T01:37:54.7276745Z [2022-11-23 01:31:40,152] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 157 2022-11-23T01:37:54.7276983Z [2022-11-23 01:31:40,158] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.7277255Z [2022-11-23 01:31:40,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.7277476Z [2022-11-23 01:31:40,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.7277730Z [2022-11-23 01:31:40,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.7278017Z [2022-11-23 01:31:40,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.7278346Z [2022-11-23 01:31:40,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.7278680Z [2022-11-23 01:31:40,159] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.7278763Z 1174 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.7278852Z 2 LOAD_ATTR 1 (div) 2022-11-23T01:37:54.7278942Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7279030Z 6 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7279122Z 8 LOAD_CONST 0 (None) 2022-11-23T01:37:54.7279291Z 10 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:37:54.7279383Z 12 CALL_FUNCTION_KW 3 2022-11-23T01:37:54.7279389Z 2022-11-23T01:37:54.7279469Z 1175 14 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.7279556Z 16 LOAD_ATTR 1 (div) 2022-11-23T01:37:54.7279674Z 18 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7279761Z 20 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7279909Z 22 LOAD_CONST 2 ('floor') 2022-11-23T01:37:54.7280072Z 24 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:37:54.7280163Z 26 CALL_FUNCTION_KW 3 2022-11-23T01:37:54.7280167Z 2022-11-23T01:37:54.7280257Z 1176 28 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.7280333Z 30 LOAD_ATTR 1 (div) 2022-11-23T01:37:54.7280420Z 32 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7280541Z 34 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7280685Z 36 LOAD_CONST 3 ('trunc') 2022-11-23T01:37:54.7280845Z 38 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:37:54.7280935Z 40 CALL_FUNCTION_KW 3 2022-11-23T01:37:54.7280940Z 2022-11-23T01:37:54.7281026Z 1177 42 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7281113Z 44 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7281185Z 46 BINARY_TRUE_DIVIDE 2022-11-23T01:37:54.7281189Z 2022-11-23T01:37:54.7281273Z 1178 48 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7281357Z 50 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7281439Z 52 BINARY_FLOOR_DIVIDE 2022-11-23T01:37:54.7281526Z 54 BUILD_TUPLE 5 2022-11-23T01:37:54.7281601Z 56 RETURN_VALUE 2022-11-23T01:37:54.7281660Z 2022-11-23T01:37:54.7281665Z 2022-11-23T01:37:54.7281929Z [2022-11-23 01:31:40,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1174 2022-11-23T01:37:54.7282147Z [2022-11-23 01:31:40,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.7282452Z [2022-11-23 01:31:40,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable()] 2022-11-23T01:37:54.7282704Z [2022-11-23 01:31:40,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)] 2022-11-23T01:37:54.7282982Z [2022-11-23 01:31:40,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:37:54.7283292Z [2022-11-23 01:31:40,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7283672Z [2022-11-23 01:31:40,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:54.7284078Z [2022-11-23 01:31:40,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)] 2022-11-23T01:37:54.7284347Z [2022-11-23 01:31:40,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1175 2022-11-23T01:37:54.7284593Z [2022-11-23 01:31:40,167] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:54.7284923Z [2022-11-23 01:31:40,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.7285187Z [2022-11-23 01:31:40,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:37:54.7285490Z [2022-11-23 01:31:40,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:37:54.7285834Z [2022-11-23 01:31:40,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7286260Z [2022-11-23 01:31:40,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:37:54.7286686Z [2022-11-23 01:31:40,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:37:54.7286953Z [2022-11-23 01:31:40,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1176 2022-11-23T01:37:54.7287229Z [2022-11-23 01:31:40,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7287619Z [2022-11-23 01:31:40,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.7287926Z [2022-11-23 01:31:40,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:37:54.7288257Z [2022-11-23 01:31:40,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:37:54.7288625Z [2022-11-23 01:31:40,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7289053Z [2022-11-23 01:31:40,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:37:54.7289498Z [2022-11-23 01:31:40,183] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:37:54.7289769Z [2022-11-23 01:31:40,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1177 2022-11-23T01:37:54.7290061Z [2022-11-23 01:31:40,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7290380Z [2022-11-23 01:31:40,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7290749Z [2022-11-23 01:31:40,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7291019Z [2022-11-23 01:31:40,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1178 2022-11-23T01:37:54.7291341Z [2022-11-23 01:31:40,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7291690Z [2022-11-23 01:31:40,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7292086Z [2022-11-23 01:31:40,185] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7292439Z [2022-11-23 01:31:40,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7292690Z [2022-11-23 01:31:40,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7293023Z [2022-11-23 01:31:40,189] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.7293288Z [2022-11-23 01:31:40,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7293529Z [2022-11-23 01:31:40,190] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.7293784Z [2022-11-23 01:31:40,191] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.7294035Z [2022-11-23 01:31:40,201] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.7294226Z [2022-11-23 01:31:40,201] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.7294394Z __compiled_fn_159 .1413 opcode, name, target, args, kwargs 2022-11-23T01:37:54.7294482Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.7294567Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.7294744Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None} 2022-11-23T01:37:54.7294934Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'} 2022-11-23T01:37:54.7295130Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'} 2022-11-23T01:37:54.7295322Z call_function, truediv, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.7295517Z call_function, floordiv, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.7295647Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {} 2022-11-23T01:37:54.7295652Z 2022-11-23T01:37:54.7295933Z [2022-11-23 01:31:40,202] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7296031Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.7296120Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7296200Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.7296289Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.7296363Z 8 RETURN_VALUE 2022-11-23T01:37:54.7296368Z 2022-11-23T01:37:54.7296428Z 2022-11-23T01:37:54.7296708Z [2022-11-23 01:31:40,202] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7296816Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_159) 2022-11-23T01:37:54.7296904Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7296981Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7297056Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.7297142Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7297230Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7297306Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.7297394Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.7297498Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7297587Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7297674Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7297749Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.7297848Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7297934Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7298007Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.7298103Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7298188Z 32 LOAD_CONST 3 (2) 2022-11-23T01:37:54.7298250Z 34 BINARY_SUBSCR 2022-11-23T01:37:54.7298348Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7298432Z 38 LOAD_CONST 4 (3) 2022-11-23T01:37:54.7298509Z 40 BINARY_SUBSCR 2022-11-23T01:37:54.7298605Z 42 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7298690Z 44 LOAD_CONST 5 (4) 2022-11-23T01:37:54.7298920Z 46 BINARY_SUBSCR 2022-11-23T01:37:54.7299047Z 48 BUILD_TUPLE 5 2022-11-23T01:37:54.7299196Z 50 RETURN_VALUE 2022-11-23T01:37:54.7299203Z 2022-11-23T01:37:54.7299263Z 2022-11-23T01:37:54.7299458Z [2022-11-23 01:31:40,203] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.7299531Z - 2022-11-23T01:37:54.7299651Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.7299714Z { 2022-11-23T01:37:54.7299844Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.7300034Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.7300157Z 'obj_weakref': None 2022-11-23T01:37:54.7300384Z 'guarded_class': 2022-11-23T01:37:54.7300492Z } 2022-11-23T01:37:54.7300553Z 2022-11-23T01:37:54.7300627Z - 2022-11-23T01:37:54.7300742Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.7300806Z { 2022-11-23T01:37:54.7300950Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7301061Z 'code': None, 2022-11-23T01:37:54.7301276Z 'obj_weakref': 2022-11-23T01:37:54.7301532Z 'guarded_class': 2022-11-23T01:37:54.7301594Z } 2022-11-23T01:37:54.7301643Z 2022-11-23T01:37:54.7301712Z - 2022-11-23T01:37:54.7301837Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.7301900Z { 2022-11-23T01:37:54.7302042Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7302153Z 'code': None, 2022-11-23T01:37:54.7302369Z 'obj_weakref': 2022-11-23T01:37:54.7302611Z 'guarded_class': 2022-11-23T01:37:54.7302676Z } 2022-11-23T01:37:54.7302744Z 2022-11-23T01:37:54.7302819Z - 2022-11-23T01:37:54.7302953Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.7303018Z { 2022-11-23T01:37:54.7303154Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.7303315Z 'code': ['___check_obj_id(model, 140538737480480)'], 2022-11-23T01:37:54.7303435Z 'obj_weakref': None 2022-11-23T01:37:54.7303666Z 'guarded_class': 2022-11-23T01:37:54.7303729Z } 2022-11-23T01:37:54.7303790Z 2022-11-23T01:37:54.7303864Z - 2022-11-23T01:37:54.7303988Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.7304038Z { 2022-11-23T01:37:54.7304174Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.7304393Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.7304513Z 'obj_weakref': None 2022-11-23T01:37:54.7304738Z 'guarded_class': 2022-11-23T01:37:54.7304803Z } 2022-11-23T01:37:54.7304864Z 2022-11-23T01:37:54.7304921Z - 2022-11-23T01:37:54.7305054Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.7305115Z { 2022-11-23T01:37:54.7305235Z 'guard_types': None, 2022-11-23T01:37:54.7305342Z 'code': None, 2022-11-23T01:37:54.7305462Z 'obj_weakref': None 2022-11-23T01:37:54.7305588Z 'guarded_class': None 2022-11-23T01:37:54.7305643Z } 2022-11-23T01:37:54.7305706Z 2022-11-23T01:37:54.7305968Z [2022-11-23 01:31:40,217] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 158 2022-11-23T01:37:54.7306341Z [2022-11-23 01:31:41,621] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ee/cee2lhsygnjc5o6lixdb6nalkwd4mb7oe4tpno4ncs6q7petavwc.py 2022-11-23T01:37:54.7306673Z [2022-11-23 01:31:41,622] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 158 2022-11-23T01:37:54.7306917Z [2022-11-23 01:31:41,629] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.7307191Z [2022-11-23 01:31:41,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.7307413Z [2022-11-23 01:31:41,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.7307652Z [2022-11-23 01:31:41,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.7307988Z [2022-11-23 01:31:41,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.7308409Z [2022-11-23 01:31:41,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.7308754Z [2022-11-23 01:31:41,629] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.7308853Z 1174 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.7308946Z 2 LOAD_ATTR 1 (div) 2022-11-23T01:37:54.7309039Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7309128Z 6 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7309221Z 8 LOAD_CONST 0 (None) 2022-11-23T01:37:54.7309374Z 10 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:37:54.7309471Z 12 CALL_FUNCTION_KW 3 2022-11-23T01:37:54.7309478Z 2022-11-23T01:37:54.7309570Z 1175 14 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.7309659Z 16 LOAD_ATTR 1 (div) 2022-11-23T01:37:54.7309749Z 18 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7309838Z 20 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7309985Z 22 LOAD_CONST 2 ('floor') 2022-11-23T01:37:54.7310139Z 24 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:37:54.7310232Z 26 CALL_FUNCTION_KW 3 2022-11-23T01:37:54.7310238Z 2022-11-23T01:37:54.7310329Z 1176 28 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.7310419Z 30 LOAD_ATTR 1 (div) 2022-11-23T01:37:54.7310509Z 32 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7310597Z 34 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7310748Z 36 LOAD_CONST 3 ('trunc') 2022-11-23T01:37:54.7310913Z 38 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:37:54.7310992Z 40 CALL_FUNCTION_KW 3 2022-11-23T01:37:54.7310997Z 2022-11-23T01:37:54.7311082Z 1177 42 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7311175Z 44 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7311261Z 46 BINARY_TRUE_DIVIDE 2022-11-23T01:37:54.7311266Z 2022-11-23T01:37:54.7311354Z 1178 48 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7311441Z 50 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7311525Z 52 BINARY_FLOOR_DIVIDE 2022-11-23T01:37:54.7311615Z 54 BUILD_TUPLE 5 2022-11-23T01:37:54.7311678Z 56 RETURN_VALUE 2022-11-23T01:37:54.7311738Z 2022-11-23T01:37:54.7311743Z 2022-11-23T01:37:54.7312019Z [2022-11-23 01:31:41,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1174 2022-11-23T01:37:54.7312244Z [2022-11-23 01:31:41,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.7312553Z [2022-11-23 01:31:41,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable()] 2022-11-23T01:37:54.7312843Z [2022-11-23 01:31:41,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)] 2022-11-23T01:37:54.7313124Z [2022-11-23 01:31:41,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:37:54.7313439Z [2022-11-23 01:31:41,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7313819Z [2022-11-23 01:31:41,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:54.7314247Z [2022-11-23 01:31:41,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)] 2022-11-23T01:37:54.7314519Z [2022-11-23 01:31:41,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1175 2022-11-23T01:37:54.7314766Z [2022-11-23 01:31:41,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:54.7315100Z [2022-11-23 01:31:41,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.7315377Z [2022-11-23 01:31:41,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:37:54.7315681Z [2022-11-23 01:31:41,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:37:54.7316026Z [2022-11-23 01:31:41,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7316429Z [2022-11-23 01:31:41,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:37:54.7316855Z [2022-11-23 01:31:41,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:37:54.7317124Z [2022-11-23 01:31:41,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1176 2022-11-23T01:37:54.7317395Z [2022-11-23 01:31:41,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7317756Z [2022-11-23 01:31:41,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.7318048Z [2022-11-23 01:31:41,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:37:54.7318378Z [2022-11-23 01:31:41,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:37:54.7318750Z [2022-11-23 01:31:41,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7319176Z [2022-11-23 01:31:41,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:37:54.7319633Z [2022-11-23 01:31:41,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:37:54.7319937Z [2022-11-23 01:31:41,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1177 2022-11-23T01:37:54.7320234Z [2022-11-23 01:31:41,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7320553Z [2022-11-23 01:31:41,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7320919Z [2022-11-23 01:31:41,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7321225Z [2022-11-23 01:31:41,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1178 2022-11-23T01:37:54.7321550Z [2022-11-23 01:31:41,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7321897Z [2022-11-23 01:31:41,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7322285Z [2022-11-23 01:31:41,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7322639Z [2022-11-23 01:31:41,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7322888Z [2022-11-23 01:31:41,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7323218Z [2022-11-23 01:31:41,656] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.7323471Z [2022-11-23 01:31:41,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7323707Z [2022-11-23 01:31:41,656] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.7323964Z [2022-11-23 01:31:41,657] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.7324214Z [2022-11-23 01:31:41,664] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.7324404Z [2022-11-23 01:31:41,665] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.7324538Z __compiled_fn_160 .1419 opcode, name, target, args, kwargs 2022-11-23T01:37:54.7324619Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.7324703Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.7324893Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None} 2022-11-23T01:37:54.7325085Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'} 2022-11-23T01:37:54.7325277Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'} 2022-11-23T01:37:54.7325469Z call_function, truediv, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.7325668Z call_function, floordiv, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.7325798Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {} 2022-11-23T01:37:54.7325803Z 2022-11-23T01:37:54.7326070Z [2022-11-23 01:31:41,665] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7326163Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.7326255Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7326348Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.7326436Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.7326511Z 8 RETURN_VALUE 2022-11-23T01:37:54.7326516Z 2022-11-23T01:37:54.7326575Z 2022-11-23T01:37:54.7326877Z [2022-11-23 01:31:41,665] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7326976Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_160) 2022-11-23T01:37:54.7327065Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7327152Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7327227Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.7327316Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7327399Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7327498Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.7327573Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.7327677Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7327778Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7327866Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7327944Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.7328043Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7328129Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7328191Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.7328288Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7328374Z 32 LOAD_CONST 3 (2) 2022-11-23T01:37:54.7328446Z 34 BINARY_SUBSCR 2022-11-23T01:37:54.7328545Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7328631Z 38 LOAD_CONST 4 (3) 2022-11-23T01:37:54.7328707Z 40 BINARY_SUBSCR 2022-11-23T01:37:54.7328793Z 42 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7328877Z 44 LOAD_CONST 5 (4) 2022-11-23T01:37:54.7328950Z 46 BINARY_SUBSCR 2022-11-23T01:37:54.7329035Z 48 BUILD_TUPLE 5 2022-11-23T01:37:54.7329110Z 50 RETURN_VALUE 2022-11-23T01:37:54.7329117Z 2022-11-23T01:37:54.7329179Z 2022-11-23T01:37:54.7329367Z [2022-11-23 01:31:41,666] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.7329426Z - 2022-11-23T01:37:54.7329547Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.7329610Z { 2022-11-23T01:37:54.7329749Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.7329938Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.7330060Z 'obj_weakref': None 2022-11-23T01:37:54.7330287Z 'guarded_class': 2022-11-23T01:37:54.7330352Z } 2022-11-23T01:37:54.7330402Z 2022-11-23T01:37:54.7330470Z - 2022-11-23T01:37:54.7330595Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.7330658Z { 2022-11-23T01:37:54.7330801Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7330913Z 'code': None, 2022-11-23T01:37:54.7331116Z 'obj_weakref': 2022-11-23T01:37:54.7331372Z 'guarded_class': 2022-11-23T01:37:54.7331435Z } 2022-11-23T01:37:54.7331497Z 2022-11-23T01:37:54.7331568Z - 2022-11-23T01:37:54.7331694Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.7331758Z { 2022-11-23T01:37:54.7331889Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7332002Z 'code': None, 2022-11-23T01:37:54.7332215Z 'obj_weakref': 2022-11-23T01:37:54.7332466Z 'guarded_class': 2022-11-23T01:37:54.7332528Z } 2022-11-23T01:37:54.7332586Z 2022-11-23T01:37:54.7332684Z - 2022-11-23T01:37:54.7332808Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.7332869Z { 2022-11-23T01:37:54.7333006Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.7333177Z 'code': ['___check_obj_id(model, 140538737480480)'], 2022-11-23T01:37:54.7333296Z 'obj_weakref': None 2022-11-23T01:37:54.7333528Z 'guarded_class': 2022-11-23T01:37:54.7333589Z } 2022-11-23T01:37:54.7333649Z 2022-11-23T01:37:54.7333707Z - 2022-11-23T01:37:54.7333863Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.7333925Z { 2022-11-23T01:37:54.7334061Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.7334279Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.7334399Z 'obj_weakref': None 2022-11-23T01:37:54.7334623Z 'guarded_class': 2022-11-23T01:37:54.7334673Z } 2022-11-23T01:37:54.7334732Z 2022-11-23T01:37:54.7334803Z - 2022-11-23T01:37:54.7334936Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.7334996Z { 2022-11-23T01:37:54.7335117Z 'guard_types': None, 2022-11-23T01:37:54.7335213Z 'code': None, 2022-11-23T01:37:54.7335329Z 'obj_weakref': None 2022-11-23T01:37:54.7335451Z 'guarded_class': None 2022-11-23T01:37:54.7335515Z } 2022-11-23T01:37:54.7335574Z 2022-11-23T01:37:54.7335835Z [2022-11-23 01:31:41,679] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 159 2022-11-23T01:37:54.7336204Z [2022-11-23 01:31:43,070] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4k/c4kdlgq6nx5oecr72ihitxpmev22hmcq5qmtur6sl5ppycqr5mc4.py 2022-11-23T01:37:54.7336473Z [2022-11-23 01:31:43,070] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 159 2022-11-23T01:37:54.7336701Z [2022-11-23 01:31:43,077] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.7336970Z [2022-11-23 01:31:43,077] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.7337189Z [2022-11-23 01:31:43,077] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.7337446Z [2022-11-23 01:31:43,077] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.7337738Z [2022-11-23 01:31:43,077] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.7338061Z [2022-11-23 01:31:43,077] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.7338393Z [2022-11-23 01:31:43,078] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.7338489Z 1174 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.7338580Z 2 LOAD_ATTR 1 (div) 2022-11-23T01:37:54.7338659Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7338887Z 6 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7339032Z 8 LOAD_CONST 0 (None) 2022-11-23T01:37:54.7339208Z 10 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:37:54.7339307Z 12 CALL_FUNCTION_KW 3 2022-11-23T01:37:54.7339313Z 2022-11-23T01:37:54.7339404Z 1175 14 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.7339492Z 16 LOAD_ATTR 1 (div) 2022-11-23T01:37:54.7339580Z 18 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7339713Z 20 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7339863Z 22 LOAD_CONST 2 ('floor') 2022-11-23T01:37:54.7340029Z 24 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:37:54.7340121Z 26 CALL_FUNCTION_KW 3 2022-11-23T01:37:54.7340126Z 2022-11-23T01:37:54.7340218Z 1176 28 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.7340306Z 30 LOAD_ATTR 1 (div) 2022-11-23T01:37:54.7340395Z 32 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7340469Z 34 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7340652Z 36 LOAD_CONST 3 ('trunc') 2022-11-23T01:37:54.7340815Z 38 LOAD_CONST 1 (('rounding_mode',)) 2022-11-23T01:37:54.7340907Z 40 CALL_FUNCTION_KW 3 2022-11-23T01:37:54.7340912Z 2022-11-23T01:37:54.7340997Z 1177 42 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7341084Z 44 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7341167Z 46 BINARY_TRUE_DIVIDE 2022-11-23T01:37:54.7341172Z 2022-11-23T01:37:54.7341261Z 1178 48 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7341336Z 50 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7341419Z 52 BINARY_FLOOR_DIVIDE 2022-11-23T01:37:54.7341506Z 54 BUILD_TUPLE 5 2022-11-23T01:37:54.7341581Z 56 RETURN_VALUE 2022-11-23T01:37:54.7341640Z 2022-11-23T01:37:54.7341645Z 2022-11-23T01:37:54.7341920Z [2022-11-23 01:31:43,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1174 2022-11-23T01:37:54.7342145Z [2022-11-23 01:31:43,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.7342450Z [2022-11-23 01:31:43,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TorchVariable()] 2022-11-23T01:37:54.7342692Z [2022-11-23 01:31:43,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.div)] 2022-11-23T01:37:54.7342971Z [2022-11-23 01:31:43,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:37:54.7343286Z [2022-11-23 01:31:43,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7343666Z [2022-11-23 01:31:43,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:54.7344075Z [2022-11-23 01:31:43,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(tuple)] 2022-11-23T01:37:54.7344343Z [2022-11-23 01:31:43,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1175 2022-11-23T01:37:54.7344592Z [2022-11-23 01:31:43,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:54.7344927Z [2022-11-23 01:31:43,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.7345207Z [2022-11-23 01:31:43,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:37:54.7345512Z [2022-11-23 01:31:43,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:37:54.7345857Z [2022-11-23 01:31:43,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST floor [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7346270Z [2022-11-23 01:31:43,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:37:54.7346700Z [2022-11-23 01:31:43,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:37:54.7346968Z [2022-11-23 01:31:43,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1176 2022-11-23T01:37:54.7347240Z [2022-11-23 01:31:43,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7347635Z [2022-11-23 01:31:43,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR div [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.7347942Z [2022-11-23 01:31:43,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.div)] 2022-11-23T01:37:54.7348358Z [2022-11-23 01:31:43,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable()] 2022-11-23T01:37:54.7348732Z [2022-11-23 01:31:43,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST trunc [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7349158Z [2022-11-23 01:31:43,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('rounding_mode',) [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:37:54.7349618Z [2022-11-23 01:31:43,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.div), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:37:54.7349892Z [2022-11-23 01:31:43,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1177 2022-11-23T01:37:54.7350189Z [2022-11-23 01:31:43,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7350513Z [2022-11-23 01:31:43,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7350870Z [2022-11-23 01:31:43,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7351142Z [2022-11-23 01:31:43,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1178 2022-11-23T01:37:54.7351464Z [2022-11-23 01:31:43,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7351810Z [2022-11-23 01:31:43,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7352210Z [2022-11-23 01:31:43,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_FLOOR_DIVIDE None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7352561Z [2022-11-23 01:31:43,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7352814Z [2022-11-23 01:31:43,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7353147Z [2022-11-23 01:31:43,104] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.7353424Z [2022-11-23 01:31:43,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7353663Z [2022-11-23 01:31:43,105] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.7353918Z [2022-11-23 01:31:43,106] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.7354157Z [2022-11-23 01:31:43,113] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.7354348Z [2022-11-23 01:31:43,113] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.7354482Z __compiled_fn_161 .1425 opcode, name, target, args, kwargs 2022-11-23T01:37:54.7354618Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.7354705Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.7354897Z call_function, div, aten.div, (ex_0_, ex_1_), {'rounding_mode': None} 2022-11-23T01:37:54.7355092Z call_function, div_1, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'floor'} 2022-11-23T01:37:54.7355284Z call_function, div_2, aten.div, (ex_0_, ex_1_), {'rounding_mode': 'trunc'} 2022-11-23T01:37:54.7355465Z call_function, truediv, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.7355661Z call_function, floordiv, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.7355795Z output, output, output, ((div, div_1, div_2, truediv, floordiv),), {} 2022-11-23T01:37:54.7355800Z 2022-11-23T01:37:54.7356081Z [2022-11-23 01:31:43,114] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7356174Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.7356265Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7356357Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.7356446Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.7356509Z 8 RETURN_VALUE 2022-11-23T01:37:54.7356515Z 2022-11-23T01:37:54.7356574Z 2022-11-23T01:37:54.7356850Z [2022-11-23 01:31:43,114] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7356955Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_161) 2022-11-23T01:37:54.7357043Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7357131Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7357206Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.7357283Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7357369Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7357442Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.7357532Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.7357634Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7357733Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7357820Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7357892Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.7357983Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7358072Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7358148Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.7358248Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7358336Z 32 LOAD_CONST 3 (2) 2022-11-23T01:37:54.7358413Z 34 BINARY_SUBSCR 2022-11-23T01:37:54.7358515Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7358590Z 38 LOAD_CONST 4 (3) 2022-11-23T01:37:54.7358668Z 40 BINARY_SUBSCR 2022-11-23T01:37:54.7358768Z 42 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7358855Z 44 LOAD_CONST 5 (4) 2022-11-23T01:37:54.7358931Z 46 BINARY_SUBSCR 2022-11-23T01:37:54.7359020Z 48 BUILD_TUPLE 5 2022-11-23T01:37:54.7359100Z 50 RETURN_VALUE 2022-11-23T01:37:54.7359133Z 2022-11-23T01:37:54.7359182Z 2022-11-23T01:37:54.7359373Z [2022-11-23 01:31:43,115] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.7359444Z - 2022-11-23T01:37:54.7359567Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.7359629Z { 2022-11-23T01:37:54.7359775Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.7359965Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.7360075Z 'obj_weakref': None 2022-11-23T01:37:54.7360300Z 'guarded_class': 2022-11-23T01:37:54.7360398Z } 2022-11-23T01:37:54.7360461Z 2022-11-23T01:37:54.7360533Z - 2022-11-23T01:37:54.7360661Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.7360725Z { 2022-11-23T01:37:54.7360859Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7360972Z 'code': None, 2022-11-23T01:37:54.7361190Z 'obj_weakref': 2022-11-23T01:37:54.7361449Z 'guarded_class': 2022-11-23T01:37:54.7361514Z } 2022-11-23T01:37:54.7361578Z 2022-11-23T01:37:54.7361652Z - 2022-11-23T01:37:54.7361764Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.7361829Z { 2022-11-23T01:37:54.7361975Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7362090Z 'code': None, 2022-11-23T01:37:54.7362304Z 'obj_weakref': 2022-11-23T01:37:54.7362562Z 'guarded_class': 2022-11-23T01:37:54.7362626Z } 2022-11-23T01:37:54.7362676Z 2022-11-23T01:37:54.7362749Z - 2022-11-23T01:37:54.7362883Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.7362948Z { 2022-11-23T01:37:54.7363084Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.7363257Z 'code': ['___check_obj_id(model, 140538737480480)'], 2022-11-23T01:37:54.7363381Z 'obj_weakref': None 2022-11-23T01:37:54.7363602Z 'guarded_class': 2022-11-23T01:37:54.7363664Z } 2022-11-23T01:37:54.7363727Z 2022-11-23T01:37:54.7363799Z - 2022-11-23T01:37:54.7363926Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.7363989Z { 2022-11-23T01:37:54.7364130Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.7364338Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.7364455Z 'obj_weakref': None 2022-11-23T01:37:54.7364681Z 'guarded_class': 2022-11-23T01:37:54.7364743Z } 2022-11-23T01:37:54.7364803Z 2022-11-23T01:37:54.7364873Z - 2022-11-23T01:37:54.7365004Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.7365054Z { 2022-11-23T01:37:54.7365172Z 'guard_types': None, 2022-11-23T01:37:54.7365282Z 'code': None, 2022-11-23T01:37:54.7365400Z 'obj_weakref': None 2022-11-23T01:37:54.7365522Z 'guarded_class': None 2022-11-23T01:37:54.7365582Z } 2022-11-23T01:37:54.7365643Z 2022-11-23T01:37:54.7365894Z [2022-11-23 01:31:43,126] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 160 2022-11-23T01:37:54.7365900Z 2022-11-23T01:37:54.7365992Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.7366059Z import torch 2022-11-23T01:37:54.7366125Z import random 2022-11-23T01:37:54.7366272Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.7366395Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.7366400Z 2022-11-23T01:37:54.7366476Z aten = torch.ops.aten 2022-11-23T01:37:54.7366597Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.7366687Z async_compile = AsyncCompile() 2022-11-23T01:37:54.7366691Z 2022-11-23T01:37:54.7366696Z 2022-11-23T01:37:54.7366832Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.7367035Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.7367185Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.7367287Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.7367384Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.7367477Z float* __restrict__ out_ptr1, 2022-11-23T01:37:54.7367558Z float* __restrict__ out_ptr2, 2022-11-23T01:37:54.7367655Z float* __restrict__ out_ptr3, 2022-11-23T01:37:54.7367746Z float* __restrict__ out_ptr4) 2022-11-23T01:37:54.7367808Z { 2022-11-23T01:37:54.7367886Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:37:54.7367945Z { 2022-11-23T01:37:54.7368091Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:54.7368209Z auto tmp1 = at::vec::Vectorized(in_ptr1[0]); 2022-11-23T01:37:54.7368281Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:54.7368365Z auto tmp3 = tmp2.floor(); 2022-11-23T01:37:54.7368450Z auto tmp4 = tmp2.trunc(); 2022-11-23T01:37:54.7368536Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.7368619Z tmp3.store(out_ptr1 + 8*i0); 2022-11-23T01:37:54.7368699Z tmp4.store(out_ptr2 + 8*i0); 2022-11-23T01:37:54.7368768Z tmp2.store(out_ptr3 + 8*i0); 2022-11-23T01:37:54.7368848Z tmp3.store(out_ptr4 + 8*i0); 2022-11-23T01:37:54.7368909Z } 2022-11-23T01:37:54.7368999Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.7369077Z for(long i0=8; i0<10; i0+=1) 2022-11-23T01:37:54.7369136Z { 2022-11-23T01:37:54.7369214Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.7369282Z auto tmp1 = in_ptr1[0]; 2022-11-23T01:37:54.7369360Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:54.7369450Z auto tmp3 = std::floor(tmp2); 2022-11-23T01:37:54.7369536Z auto tmp4 = std::trunc(tmp2); 2022-11-23T01:37:54.7369612Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:54.7369686Z out_ptr1[i0] = tmp3; 2022-11-23T01:37:54.7369761Z out_ptr2[i0] = tmp4; 2022-11-23T01:37:54.7369822Z out_ptr3[i0] = tmp2; 2022-11-23T01:37:54.7369892Z out_ptr4[i0] = tmp3; 2022-11-23T01:37:54.7369950Z } 2022-11-23T01:37:54.7370009Z } 2022-11-23T01:37:54.7370089Z ''') 2022-11-23T01:37:54.7370094Z 2022-11-23T01:37:54.7370098Z 2022-11-23T01:37:54.7370186Z async_compile.wait(globals()) 2022-11-23T01:37:54.7370258Z del async_compile 2022-11-23T01:37:54.7370263Z 2022-11-23T01:37:54.7370320Z def call(args): 2022-11-23T01:37:54.7370392Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.7370461Z args.clear() 2022-11-23T01:37:54.7370660Z buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7370854Z buf1 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7371042Z buf2 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7371230Z buf3 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7371422Z buf4 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7371672Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr())) 2022-11-23T01:37:54.7371739Z del arg0_1 2022-11-23T01:37:54.7371836Z del arg1_1 2022-11-23T01:37:54.7371935Z return (buf0, buf1, buf2, buf3, buf4, ) 2022-11-23T01:37:54.7371941Z 2022-11-23T01:37:54.7371945Z 2022-11-23T01:37:54.7372019Z if __name__ == "__main__": 2022-11-23T01:37:54.7372133Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.7372254Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.7372450Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7372623Z arg1_1 = rand_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7372740Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.7372776Z 2022-11-23T01:37:54.7372780Z 2022-11-23T01:37:54.7372873Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.7372944Z import torch 2022-11-23T01:37:54.7373012Z import random 2022-11-23T01:37:54.7373124Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.7373247Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.7373251Z 2022-11-23T01:37:54.7373327Z aten = torch.ops.aten 2022-11-23T01:37:54.7373447Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.7373537Z async_compile = AsyncCompile() 2022-11-23T01:37:54.7373542Z 2022-11-23T01:37:54.7373546Z 2022-11-23T01:37:54.7373682Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.7373884Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.7374001Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.7374102Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.7374203Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.7374297Z float* __restrict__ out_ptr1, 2022-11-23T01:37:54.7374377Z float* __restrict__ out_ptr2, 2022-11-23T01:37:54.7374467Z float* __restrict__ out_ptr3, 2022-11-23T01:37:54.7374559Z float* __restrict__ out_ptr4) 2022-11-23T01:37:54.7374617Z { 2022-11-23T01:37:54.7374695Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:37:54.7374754Z { 2022-11-23T01:37:54.7374876Z auto tmp0 = at::vec::Vectorized(in_ptr0[0]); 2022-11-23T01:37:54.7374996Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:54.7375080Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:54.7375163Z auto tmp3 = tmp2.floor(); 2022-11-23T01:37:54.7375245Z auto tmp4 = tmp2.trunc(); 2022-11-23T01:37:54.7375331Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.7375422Z tmp3.store(out_ptr1 + 8*i0); 2022-11-23T01:37:54.7375503Z tmp4.store(out_ptr2 + 8*i0); 2022-11-23T01:37:54.7375573Z tmp2.store(out_ptr3 + 8*i0); 2022-11-23T01:37:54.7375654Z tmp3.store(out_ptr4 + 8*i0); 2022-11-23T01:37:54.7375715Z } 2022-11-23T01:37:54.7375801Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.7375879Z for(long i0=8; i0<10; i0+=1) 2022-11-23T01:37:54.7375939Z { 2022-11-23T01:37:54.7376016Z auto tmp0 = in_ptr0[0]; 2022-11-23T01:37:54.7376083Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:54.7376161Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:54.7376249Z auto tmp3 = std::floor(tmp2); 2022-11-23T01:37:54.7376336Z auto tmp4 = std::trunc(tmp2); 2022-11-23T01:37:54.7376413Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:54.7376487Z out_ptr1[i0] = tmp3; 2022-11-23T01:37:54.7376559Z out_ptr2[i0] = tmp4; 2022-11-23T01:37:54.7376620Z out_ptr3[i0] = tmp2; 2022-11-23T01:37:54.7376693Z out_ptr4[i0] = tmp3; 2022-11-23T01:37:54.7376751Z } 2022-11-23T01:37:54.7376809Z } 2022-11-23T01:37:54.7376886Z ''') 2022-11-23T01:37:54.7376892Z 2022-11-23T01:37:54.7376896Z 2022-11-23T01:37:54.7376983Z async_compile.wait(globals()) 2022-11-23T01:37:54.7377055Z del async_compile 2022-11-23T01:37:54.7377060Z 2022-11-23T01:37:54.7377116Z def call(args): 2022-11-23T01:37:54.7377218Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.7377291Z args.clear() 2022-11-23T01:37:54.7377490Z buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7377687Z buf1 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7377878Z buf2 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7378066Z buf3 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7378241Z buf4 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7378544Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr())) 2022-11-23T01:37:54.7378613Z del arg0_1 2022-11-23T01:37:54.7378678Z del arg1_1 2022-11-23T01:37:54.7378927Z return (buf0, buf1, buf2, buf3, buf4, ) 2022-11-23T01:37:54.7378941Z 2022-11-23T01:37:54.7378948Z 2022-11-23T01:37:54.7379070Z if __name__ == "__main__": 2022-11-23T01:37:54.7379192Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.7379314Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.7379508Z arg0_1 = rand_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7379689Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7379805Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.7379810Z 2022-11-23T01:37:54.7379814Z 2022-11-23T01:37:54.7379910Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.7379980Z import torch 2022-11-23T01:37:54.7380050Z import random 2022-11-23T01:37:54.7380170Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.7380289Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.7380294Z 2022-11-23T01:37:54.7380370Z aten = torch.ops.aten 2022-11-23T01:37:54.7380491Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.7380585Z async_compile = AsyncCompile() 2022-11-23T01:37:54.7380590Z 2022-11-23T01:37:54.7380594Z 2022-11-23T01:37:54.7380731Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.7380935Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.7381054Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:37:54.7381155Z const long* __restrict__ in_ptr1, 2022-11-23T01:37:54.7381257Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.7381343Z long* __restrict__ out_ptr1, 2022-11-23T01:37:54.7381431Z long* __restrict__ out_ptr2, 2022-11-23T01:37:54.7381523Z float* __restrict__ out_ptr3, 2022-11-23T01:37:54.7381613Z long* __restrict__ out_ptr4) 2022-11-23T01:37:54.7381673Z { 2022-11-23T01:37:54.7381752Z #pragma GCC ivdep 2022-11-23T01:37:54.7381831Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:54.7381879Z { 2022-11-23T01:37:54.7381940Z { 2022-11-23T01:37:54.7382003Z { 2022-11-23T01:37:54.7382089Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.7382170Z auto tmp2 = in_ptr1[0]; 2022-11-23T01:37:54.7382273Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:37:54.7382376Z auto tmp3 = static_cast(tmp2); 2022-11-23T01:37:54.7382450Z auto tmp4 = tmp1 / tmp3; 2022-11-23T01:37:54.7382700Z auto tmp5 = ((tmp0 < 0) != (tmp2 < 0) ? (tmp0 % tmp2 != 0 ? tmp0 / tmp2 - 1 : tmp0 / tmp2) : tmp0 / tmp2); 2022-11-23T01:37:54.7382788Z auto tmp6 = tmp0 / tmp2; 2022-11-23T01:37:54.7382868Z out_ptr0[i0] = tmp4; 2022-11-23T01:37:54.7382944Z out_ptr1[i0] = tmp5; 2022-11-23T01:37:54.7383020Z out_ptr2[i0] = tmp6; 2022-11-23T01:37:54.7383160Z out_ptr3[i0] = tmp4; 2022-11-23T01:37:54.7383227Z out_ptr4[i0] = tmp5; 2022-11-23T01:37:54.7383291Z } 2022-11-23T01:37:54.7383354Z } 2022-11-23T01:37:54.7383416Z } 2022-11-23T01:37:54.7383475Z } 2022-11-23T01:37:54.7383557Z ''') 2022-11-23T01:37:54.7383562Z 2022-11-23T01:37:54.7383566Z 2022-11-23T01:37:54.7383654Z async_compile.wait(globals()) 2022-11-23T01:37:54.7383715Z del async_compile 2022-11-23T01:37:54.7383731Z 2022-11-23T01:37:54.7383788Z def call(args): 2022-11-23T01:37:54.7383862Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.7383937Z args.clear() 2022-11-23T01:37:54.7384174Z buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7384368Z buf1 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7384554Z buf2 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7384749Z buf3 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7384923Z buf4 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7385182Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr())) 2022-11-23T01:37:54.7385252Z del arg0_1 2022-11-23T01:37:54.7385318Z del arg1_1 2022-11-23T01:37:54.7385413Z return (buf0, buf1, buf2, buf3, buf4, ) 2022-11-23T01:37:54.7385418Z 2022-11-23T01:37:54.7385422Z 2022-11-23T01:37:54.7385496Z if __name__ == "__main__": 2022-11-23T01:37:54.7385611Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.7385734Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.7385915Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7386096Z arg1_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7386213Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.7386218Z 2022-11-23T01:37:54.7386222Z 2022-11-23T01:37:54.7386314Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.7386383Z import torch 2022-11-23T01:37:54.7386454Z import random 2022-11-23T01:37:54.7386566Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.7386686Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.7386691Z 2022-11-23T01:37:54.7386756Z aten = torch.ops.aten 2022-11-23T01:37:54.7386888Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.7386980Z async_compile = AsyncCompile() 2022-11-23T01:37:54.7386985Z 2022-11-23T01:37:54.7386990Z 2022-11-23T01:37:54.7387125Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.7387330Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.7387447Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:37:54.7387550Z const long* __restrict__ in_ptr1, 2022-11-23T01:37:54.7387646Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.7387728Z long* __restrict__ out_ptr1, 2022-11-23T01:37:54.7387817Z long* __restrict__ out_ptr2, 2022-11-23T01:37:54.7387910Z float* __restrict__ out_ptr3, 2022-11-23T01:37:54.7387999Z long* __restrict__ out_ptr4) 2022-11-23T01:37:54.7388060Z { 2022-11-23T01:37:54.7388206Z #pragma GCC ivdep 2022-11-23T01:37:54.7388293Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:54.7388344Z { 2022-11-23T01:37:54.7388406Z { 2022-11-23T01:37:54.7388467Z { 2022-11-23T01:37:54.7388552Z auto tmp0 = in_ptr0[0]; 2022-11-23T01:37:54.7388639Z auto tmp2 = in_ptr1[i0]; 2022-11-23T01:37:54.7388742Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:37:54.7388842Z auto tmp3 = static_cast(tmp2); 2022-11-23T01:37:54.7388949Z auto tmp4 = tmp1 / tmp3; 2022-11-23T01:37:54.7389209Z auto tmp5 = ((tmp0 < 0) != (tmp2 < 0) ? (tmp0 % tmp2 != 0 ? tmp0 / tmp2 - 1 : tmp0 / tmp2) : tmp0 / tmp2); 2022-11-23T01:37:54.7389294Z auto tmp6 = tmp0 / tmp2; 2022-11-23T01:37:54.7389375Z out_ptr0[i0] = tmp4; 2022-11-23T01:37:54.7389457Z out_ptr1[i0] = tmp5; 2022-11-23T01:37:54.7389536Z out_ptr2[i0] = tmp6; 2022-11-23T01:37:54.7389614Z out_ptr3[i0] = tmp4; 2022-11-23T01:37:54.7389677Z out_ptr4[i0] = tmp5; 2022-11-23T01:37:54.7389772Z } 2022-11-23T01:37:54.7389833Z } 2022-11-23T01:37:54.7389892Z } 2022-11-23T01:37:54.7389951Z } 2022-11-23T01:37:54.7390035Z ''') 2022-11-23T01:37:54.7390041Z 2022-11-23T01:37:54.7390045Z 2022-11-23T01:37:54.7390136Z async_compile.wait(globals()) 2022-11-23T01:37:54.7390195Z del async_compile 2022-11-23T01:37:54.7390200Z 2022-11-23T01:37:54.7390274Z def call(args): 2022-11-23T01:37:54.7390348Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.7390419Z args.clear() 2022-11-23T01:37:54.7390615Z buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7390808Z buf1 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7390999Z buf2 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7391176Z buf3 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7391362Z buf4 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7391623Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr())) 2022-11-23T01:37:54.7391694Z del arg0_1 2022-11-23T01:37:54.7391765Z del arg1_1 2022-11-23T01:37:54.7391863Z return (buf0, buf1, buf2, buf3, buf4, ) 2022-11-23T01:37:54.7391869Z 2022-11-23T01:37:54.7391873Z 2022-11-23T01:37:54.7391948Z if __name__ == "__main__": 2022-11-23T01:37:54.7392063Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.7392187Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.7392358Z arg0_1 = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7392547Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7392662Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.7393037Z [2022-11-23 01:31:44,532] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ck/cckqe4w2gbwb3pzrotm6qos2fijkwa35wu3m2sgoi72uneq35hrj.py 2022-11-23T01:37:54.7393312Z [2022-11-23 01:31:44,532] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 160 2022-11-23T01:37:54.7393318Z 2022-11-23T01:37:54.7393386Z ok (5.903s) 2022-11-23T01:37:54.7393695Z test_dropout_cpu (__main__.CpuTests) ... [2022-11-23 01:31:44,540] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn1 2022-11-23T01:37:54.7393974Z [2022-11-23 01:31:44,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3825 2022-11-23T01:37:54.7394201Z [2022-11-23 01:31:44,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.7394555Z [2022-11-23 01:31:44,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable()] 2022-11-23T01:37:54.7394942Z [2022-11-23 01:31:44,540] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable()] 2022-11-23T01:37:54.7395379Z [2022-11-23 01:31:44,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable()] 2022-11-23T01:37:54.7395681Z [2022-11-23 01:31:44,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:54.7396011Z [2022-11-23 01:31:44,541] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.7396265Z [2022-11-23 01:31:44,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.7396508Z [2022-11-23 01:31:44,543] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn1 2022-11-23T01:37:54.7396799Z [2022-11-23 01:31:44,544] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:37:54.7397046Z [2022-11-23 01:31:44,548] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:37:54.7397245Z [2022-11-23 01:31:44,548] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.7397370Z __compiled_fn_162 .1431 opcode, name, target, args, kwargs 2022-11-23T01:37:54.7397455Z placeholder, a, a, (), {} 2022-11-23T01:37:54.7397605Z call_function, lowmem_dropout, , (a,), {} 2022-11-23T01:37:54.7397716Z output, output, output, ((lowmem_dropout,),), {} 2022-11-23T01:37:54.7397722Z 2022-11-23T01:37:54.7397999Z [2022-11-23 01:31:44,548] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn1 inductor/test_torchinductor.py line 3823 2022-11-23T01:37:54.7398094Z 3825 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.7398186Z 2 LOAD_ATTR 1 (nn) 2022-11-23T01:37:54.7398287Z 4 LOAD_ATTR 2 (functional) 2022-11-23T01:37:54.7398372Z 6 LOAD_METHOD 3 (dropout) 2022-11-23T01:37:54.7398459Z 8 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7398548Z 10 CALL_METHOD 1 2022-11-23T01:37:54.7398626Z 12 RETURN_VALUE 2022-11-23T01:37:54.7398631Z 2022-11-23T01:37:54.7398691Z 2022-11-23T01:37:54.7398970Z [2022-11-23 01:31:44,549] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn1 inductor/test_torchinductor.py line 3823 2022-11-23T01:37:54.7399080Z 3823 0 LOAD_GLOBAL 4 (__compiled_fn_162) 2022-11-23T01:37:54.7399169Z 2 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7399246Z 4 CALL_FUNCTION 1 2022-11-23T01:37:54.7399336Z 6 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.7399413Z 8 RETURN_VALUE 2022-11-23T01:37:54.7399417Z 2022-11-23T01:37:54.7399475Z 2022-11-23T01:37:54.7399660Z [2022-11-23 01:31:44,549] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.7399731Z - 2022-11-23T01:37:54.7399851Z local 'a' TENSOR_MATCH 2022-11-23T01:37:54.7399903Z { 2022-11-23T01:37:54.7400048Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7400158Z 'code': None, 2022-11-23T01:37:54.7400373Z 'obj_weakref': 2022-11-23T01:37:54.7400629Z 'guarded_class': 2022-11-23T01:37:54.7400692Z } 2022-11-23T01:37:54.7400754Z 2022-11-23T01:37:54.7400813Z - 2022-11-23T01:37:54.7400944Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.7401006Z { 2022-11-23T01:37:54.7401127Z 'guard_types': None, 2022-11-23T01:37:54.7401237Z 'code': None, 2022-11-23T01:37:54.7401356Z 'obj_weakref': None 2022-11-23T01:37:54.7401477Z 'guarded_class': None 2022-11-23T01:37:54.7401526Z } 2022-11-23T01:37:54.7401586Z 2022-11-23T01:37:54.7401875Z [2022-11-23 01:31:44,560] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 161 2022-11-23T01:37:54.7402134Z [2022-11-23 01:31:44,560] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager 2022-11-23T01:37:54.7402501Z [2022-11-23 01:31:45,941] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/45/c45jmjlj3s6tt5ifhd6tcqdfswpysxctudhmcjplnes2x7wooifr.py 2022-11-23T01:37:54.7402772Z [2022-11-23 01:31:45,941] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 161 2022-11-23T01:37:54.7403013Z [2022-11-23 01:31:45,945] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn2 2022-11-23T01:37:54.7403348Z [2022-11-23 01:31:45,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3837 2022-11-23T01:37:54.7403557Z [2022-11-23 01:31:45,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.7403923Z [2022-11-23 01:31:45,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable()] 2022-11-23T01:37:54.7404305Z [2022-11-23 01:31:45,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable()] 2022-11-23T01:37:54.7404715Z [2022-11-23 01:31:45,946] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable()] 2022-11-23T01:37:54.7405008Z [2022-11-23 01:31:45,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:54.7405335Z [2022-11-23 01:31:45,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.5 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.7405703Z [2022-11-23 01:31:45,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:37:54.7406107Z [2022-11-23 01:31:45,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(bool)] 2022-11-23T01:37:54.7406359Z [2022-11-23 01:31:45,949] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.7406597Z [2022-11-23 01:31:45,949] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn2 2022-11-23T01:37:54.7406846Z [2022-11-23 01:31:45,953] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:37:54.7407084Z [2022-11-23 01:31:45,956] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:37:54.7407263Z [2022-11-23 01:31:45,956] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.7407400Z __compiled_fn_163 .1437 opcode, name, target, args, kwargs 2022-11-23T01:37:54.7407483Z placeholder, a, a, (), {} 2022-11-23T01:37:54.7407641Z call_function, lowmem_dropout, , (a, 0.5, True), {} 2022-11-23T01:37:54.7407752Z output, output, output, ((lowmem_dropout,),), {} 2022-11-23T01:37:54.7407757Z 2022-11-23T01:37:54.7408036Z [2022-11-23 01:31:45,957] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn2 inductor/test_torchinductor.py line 3835 2022-11-23T01:37:54.7408133Z 3837 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.7408223Z 2 LOAD_ATTR 1 (nn) 2022-11-23T01:37:54.7408314Z 4 LOAD_ATTR 2 (functional) 2022-11-23T01:37:54.7408412Z 6 LOAD_METHOD 3 (dropout) 2022-11-23T01:37:54.7408500Z 8 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7408592Z 10 LOAD_CONST 1 (0.5) 2022-11-23T01:37:54.7408708Z 12 LOAD_CONST 2 (True) 2022-11-23T01:37:54.7408796Z 14 CALL_METHOD 3 2022-11-23T01:37:54.7408871Z 16 RETURN_VALUE 2022-11-23T01:37:54.7408876Z 2022-11-23T01:37:54.7408923Z 2022-11-23T01:37:54.7409208Z [2022-11-23 01:31:45,957] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn2 inductor/test_torchinductor.py line 3835 2022-11-23T01:37:54.7409317Z 3835 0 LOAD_GLOBAL 4 (__compiled_fn_163) 2022-11-23T01:37:54.7409404Z 2 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7409493Z 4 CALL_FUNCTION 1 2022-11-23T01:37:54.7409613Z 6 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.7409687Z 8 RETURN_VALUE 2022-11-23T01:37:54.7409691Z 2022-11-23T01:37:54.7409749Z 2022-11-23T01:37:54.7409922Z [2022-11-23 01:31:45,957] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.7409992Z - 2022-11-23T01:37:54.7410112Z local 'a' TENSOR_MATCH 2022-11-23T01:37:54.7410178Z { 2022-11-23T01:37:54.7410322Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7410430Z 'code': None, 2022-11-23T01:37:54.7410641Z 'obj_weakref': 2022-11-23T01:37:54.7410885Z 'guarded_class': 2022-11-23T01:37:54.7410951Z } 2022-11-23T01:37:54.7411013Z 2022-11-23T01:37:54.7411083Z - 2022-11-23T01:37:54.7411215Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.7411280Z { 2022-11-23T01:37:54.7411402Z 'guard_types': None, 2022-11-23T01:37:54.7411497Z 'code': None, 2022-11-23T01:37:54.7411613Z 'obj_weakref': None 2022-11-23T01:37:54.7411736Z 'guarded_class': None 2022-11-23T01:37:54.7411799Z } 2022-11-23T01:37:54.7411860Z 2022-11-23T01:37:54.7412122Z [2022-11-23 01:31:45,968] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 162 2022-11-23T01:37:54.7412379Z [2022-11-23 01:31:45,969] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager 2022-11-23T01:37:54.7412732Z [2022-11-23 01:31:45,979] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/45/c45jmjlj3s6tt5ifhd6tcqdfswpysxctudhmcjplnes2x7wooifr.py 2022-11-23T01:37:54.7412995Z [2022-11-23 01:31:45,979] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 162 2022-11-23T01:37:54.7413004Z 2022-11-23T01:37:54.7413099Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.7413170Z import torch 2022-11-23T01:37:54.7413238Z import random 2022-11-23T01:37:54.7413351Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.7413469Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.7413475Z 2022-11-23T01:37:54.7413549Z aten = torch.ops.aten 2022-11-23T01:37:54.7413672Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.7413761Z async_compile = AsyncCompile() 2022-11-23T01:37:54.7413920Z seed_cpu_None = None # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce 2022-11-23T01:37:54.7413925Z 2022-11-23T01:37:54.7413929Z 2022-11-23T01:37:54.7414064Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.7414269Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.7414381Z extern "C" void kernel(const long* __restrict__ seed0, 2022-11-23T01:37:54.7414488Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.7414586Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.7414635Z { 2022-11-23T01:37:54.7414710Z #pragma GCC ivdep 2022-11-23T01:37:54.7414790Z for(long i0=0; i0<1000; i0+=1) 2022-11-23T01:37:54.7414849Z { 2022-11-23T01:37:54.7414910Z { 2022-11-23T01:37:54.7414997Z { 2022-11-23T01:37:54.7415082Z auto tmp0 = seed0[0]; 2022-11-23T01:37:54.7415159Z auto tmp6 = in_ptr1[i0]; 2022-11-23T01:37:54.7415258Z auto tmp1 = static_cast(i0); 2022-11-23T01:37:54.7415393Z auto tmp2 = static_cast(normalized_rand_cpu(tmp0, tmp1));; 2022-11-23T01:37:54.7415496Z auto tmp3 = static_cast(0.5); 2022-11-23T01:37:54.7415581Z auto tmp4 = tmp2 > tmp3; 2022-11-23T01:37:54.7415684Z auto tmp5 = static_cast(tmp4); 2022-11-23T01:37:54.7415768Z auto tmp7 = tmp5 * tmp6; 2022-11-23T01:37:54.7415887Z auto tmp8 = static_cast(2.0); 2022-11-23T01:37:54.7415972Z auto tmp9 = tmp7 * tmp8; 2022-11-23T01:37:54.7416052Z out_ptr0[i0] = tmp9; 2022-11-23T01:37:54.7416114Z } 2022-11-23T01:37:54.7416175Z } 2022-11-23T01:37:54.7416236Z } 2022-11-23T01:37:54.7416293Z } 2022-11-23T01:37:54.7416363Z ''') 2022-11-23T01:37:54.7416368Z 2022-11-23T01:37:54.7416373Z 2022-11-23T01:37:54.7416460Z async_compile.wait(globals()) 2022-11-23T01:37:54.7416531Z del async_compile 2022-11-23T01:37:54.7416536Z 2022-11-23T01:37:54.7416604Z def call(args): 2022-11-23T01:37:54.7416670Z arg0_1, = args 2022-11-23T01:37:54.7416739Z args.clear() 2022-11-23T01:37:54.7416869Z torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None) 2022-11-23T01:37:54.7417056Z buf0 = empty_strided((1000, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7417228Z kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.7417297Z del arg0_1 2022-11-23T01:37:54.7417367Z return (buf0, ) 2022-11-23T01:37:54.7417372Z 2022-11-23T01:37:54.7417376Z 2022-11-23T01:37:54.7417451Z if __name__ == "__main__": 2022-11-23T01:37:54.7417564Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.7417687Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.7417882Z seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7418069Z arg0_1 = rand_strided((1000, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7418176Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.7418182Z 2022-11-23T01:37:54.7418186Z 2022-11-23T01:37:54.7418277Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.7418342Z import torch 2022-11-23T01:37:54.7418410Z import random 2022-11-23T01:37:54.7418522Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.7418646Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.7418650Z 2022-11-23T01:37:54.7418726Z aten = torch.ops.aten 2022-11-23T01:37:54.7419035Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.7419135Z async_compile = AsyncCompile() 2022-11-23T01:37:54.7419297Z seed_cpu_None = None # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce 2022-11-23T01:37:54.7419303Z 2022-11-23T01:37:54.7419307Z 2022-11-23T01:37:54.7419448Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.7419656Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.7419771Z extern "C" void kernel(const long* __restrict__ seed0, 2022-11-23T01:37:54.7419877Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.7419976Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.7420024Z { 2022-11-23T01:37:54.7420098Z #pragma GCC ivdep 2022-11-23T01:37:54.7420180Z for(long i0=0; i0<1000; i0+=1) 2022-11-23T01:37:54.7420240Z { 2022-11-23T01:37:54.7420303Z { 2022-11-23T01:37:54.7420366Z { 2022-11-23T01:37:54.7420447Z auto tmp0 = seed0[0]; 2022-11-23T01:37:54.7420522Z auto tmp6 = in_ptr1[i0]; 2022-11-23T01:37:54.7420626Z auto tmp1 = static_cast(i0); 2022-11-23T01:37:54.7420817Z auto tmp2 = static_cast(normalized_rand_cpu(tmp0, tmp1));; 2022-11-23T01:37:54.7420922Z auto tmp3 = static_cast(0.5); 2022-11-23T01:37:54.7421008Z auto tmp4 = tmp2 > tmp3; 2022-11-23T01:37:54.7421110Z auto tmp5 = static_cast(tmp4); 2022-11-23T01:37:54.7421194Z auto tmp7 = tmp5 * tmp6; 2022-11-23T01:37:54.7421283Z auto tmp8 = static_cast(2.0); 2022-11-23T01:37:54.7421367Z auto tmp9 = tmp7 * tmp8; 2022-11-23T01:37:54.7421454Z out_ptr0[i0] = tmp9; 2022-11-23T01:37:54.7421557Z } 2022-11-23T01:37:54.7421619Z } 2022-11-23T01:37:54.7421679Z } 2022-11-23T01:37:54.7421738Z } 2022-11-23T01:37:54.7421805Z ''') 2022-11-23T01:37:54.7421810Z 2022-11-23T01:37:54.7421814Z 2022-11-23T01:37:54.7421905Z async_compile.wait(globals()) 2022-11-23T01:37:54.7421977Z del async_compile 2022-11-23T01:37:54.7421982Z 2022-11-23T01:37:54.7422053Z def call(args): 2022-11-23T01:37:54.7422120Z arg0_1, = args 2022-11-23T01:37:54.7422191Z args.clear() 2022-11-23T01:37:54.7422321Z torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None) 2022-11-23T01:37:54.7422509Z buf0 = empty_strided((1000, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7422684Z kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.7422751Z del arg0_1 2022-11-23T01:37:54.7422819Z return (buf0, ) 2022-11-23T01:37:54.7422824Z 2022-11-23T01:37:54.7422828Z 2022-11-23T01:37:54.7422905Z if __name__ == "__main__": 2022-11-23T01:37:54.7423017Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.7423138Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.7423335Z seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7423524Z arg0_1 = rand_strided((1000, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7423630Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.7423636Z 2022-11-23T01:37:54.7423702Z ok (1.444s) 2022-11-23T01:37:54.7424033Z test_dropout_deterministic_cpu (__main__.CpuTests) ... [2022-11-23 01:31:45,983] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:37:54.7424305Z [2022-11-23 01:31:45,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3846 2022-11-23T01:37:54.7424524Z [2022-11-23 01:31:45,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.7424890Z [2022-11-23 01:31:45,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable()] 2022-11-23T01:37:54.7425275Z [2022-11-23 01:31:45,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable()] 2022-11-23T01:37:54.7425684Z [2022-11-23 01:31:45,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable()] 2022-11-23T01:37:54.7425978Z [2022-11-23 01:31:45,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:54.7426290Z [2022-11-23 01:31:45,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.55 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.7426660Z [2022-11-23 01:31:45,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:37:54.7427094Z [2022-11-23 01:31:45,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(bool)] 2022-11-23T01:37:54.7427347Z [2022-11-23 01:31:45,986] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.7427584Z [2022-11-23 01:31:45,986] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:37:54.7427827Z [2022-11-23 01:31:45,986] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:37:54.7428066Z [2022-11-23 01:31:45,989] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:37:54.7428367Z [2022-11-23 01:31:45,989] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.7428503Z __compiled_fn_164 .1443 opcode, name, target, args, kwargs 2022-11-23T01:37:54.7428586Z placeholder, a, a, (), {} 2022-11-23T01:37:54.7428732Z call_function, lowmem_dropout, , (a, 0.55, True), {} 2022-11-23T01:37:54.7428847Z output, output, output, ((lowmem_dropout,),), {} 2022-11-23T01:37:54.7428854Z 2022-11-23T01:37:54.7429132Z [2022-11-23 01:31:45,990] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 3844 2022-11-23T01:37:54.7429229Z 3846 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.7429318Z 2 LOAD_ATTR 1 (nn) 2022-11-23T01:37:54.7429419Z 4 LOAD_ATTR 2 (functional) 2022-11-23T01:37:54.7429516Z 6 LOAD_METHOD 3 (dropout) 2022-11-23T01:37:54.7429607Z 8 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7429688Z 10 LOAD_CONST 1 (0.55) 2022-11-23T01:37:54.7429776Z 12 LOAD_CONST 2 (True) 2022-11-23T01:37:54.7429861Z 14 CALL_METHOD 3 2022-11-23T01:37:54.7429936Z 16 RETURN_VALUE 2022-11-23T01:37:54.7429941Z 2022-11-23T01:37:54.7429998Z 2022-11-23T01:37:54.7430279Z [2022-11-23 01:31:45,990] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 3844 2022-11-23T01:37:54.7430389Z 3844 0 LOAD_GLOBAL 4 (__compiled_fn_164) 2022-11-23T01:37:54.7430466Z 2 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7430556Z 4 CALL_FUNCTION 1 2022-11-23T01:37:54.7430645Z 6 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.7430719Z 8 RETURN_VALUE 2022-11-23T01:37:54.7430724Z 2022-11-23T01:37:54.7430783Z 2022-11-23T01:37:54.7430967Z [2022-11-23 01:31:45,990] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.7431042Z - 2022-11-23T01:37:54.7431150Z local 'a' TENSOR_MATCH 2022-11-23T01:37:54.7431214Z { 2022-11-23T01:37:54.7431357Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7431470Z 'code': None, 2022-11-23T01:37:54.7431692Z 'obj_weakref': 2022-11-23T01:37:54.7431952Z 'guarded_class': 2022-11-23T01:37:54.7432019Z } 2022-11-23T01:37:54.7432083Z 2022-11-23T01:37:54.7432140Z - 2022-11-23T01:37:54.7432276Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.7432338Z { 2022-11-23T01:37:54.7432463Z 'guard_types': None, 2022-11-23T01:37:54.7432573Z 'code': None, 2022-11-23T01:37:54.7432694Z 'obj_weakref': None 2022-11-23T01:37:54.7432806Z 'guarded_class': None 2022-11-23T01:37:54.7432872Z } 2022-11-23T01:37:54.7432937Z 2022-11-23T01:37:54.7433197Z [2022-11-23 01:31:46,000] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 163 2022-11-23T01:37:54.7433455Z [2022-11-23 01:31:46,000] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager 2022-11-23T01:37:54.7433862Z [2022-11-23 01:31:47,420] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/za/czak3y4bsd5qpwdvzg4nj6qzpxoszcrdghe3hyp45x3wc7il7eud.py 2022-11-23T01:37:54.7434135Z [2022-11-23 01:31:47,420] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 163 2022-11-23T01:37:54.7434373Z [2022-11-23 01:31:47,424] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:37:54.7434644Z [2022-11-23 01:31:47,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3846 2022-11-23T01:37:54.7434885Z [2022-11-23 01:31:47,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.7435247Z [2022-11-23 01:31:47,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable()] 2022-11-23T01:37:54.7435636Z [2022-11-23 01:31:47,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable()] 2022-11-23T01:37:54.7436049Z [2022-11-23 01:31:47,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable()] 2022-11-23T01:37:54.7436341Z [2022-11-23 01:31:47,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:54.7436666Z [2022-11-23 01:31:47,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.55 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.7437038Z [2022-11-23 01:31:47,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:37:54.7437446Z [2022-11-23 01:31:47,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(bool)] 2022-11-23T01:37:54.7437696Z [2022-11-23 01:31:47,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.7437932Z [2022-11-23 01:31:47,428] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:37:54.7438179Z [2022-11-23 01:31:47,429] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:37:54.7438406Z [2022-11-23 01:31:47,433] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:37:54.7438601Z [2022-11-23 01:31:47,433] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.7438738Z __compiled_fn_165 .1449 opcode, name, target, args, kwargs 2022-11-23T01:37:54.7438824Z placeholder, a, a, (), {} 2022-11-23T01:37:54.7438985Z call_function, lowmem_dropout, , (a, 0.55, True), {} 2022-11-23T01:37:54.7439097Z output, output, output, ((lowmem_dropout,),), {} 2022-11-23T01:37:54.7439103Z 2022-11-23T01:37:54.7439385Z [2022-11-23 01:31:47,433] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 3844 2022-11-23T01:37:54.7439481Z 3846 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.7439558Z 2 LOAD_ATTR 1 (nn) 2022-11-23T01:37:54.7439659Z 4 LOAD_ATTR 2 (functional) 2022-11-23T01:37:54.7439754Z 6 LOAD_METHOD 3 (dropout) 2022-11-23T01:37:54.7439850Z 8 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7439942Z 10 LOAD_CONST 1 (0.55) 2022-11-23T01:37:54.7440031Z 12 LOAD_CONST 2 (True) 2022-11-23T01:37:54.7440121Z 14 CALL_METHOD 3 2022-11-23T01:37:54.7440195Z 16 RETURN_VALUE 2022-11-23T01:37:54.7440231Z 2022-11-23T01:37:54.7440279Z 2022-11-23T01:37:54.7440557Z [2022-11-23 01:31:47,433] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 3844 2022-11-23T01:37:54.7440668Z 3844 0 LOAD_GLOBAL 4 (__compiled_fn_165) 2022-11-23T01:37:54.7440758Z 2 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7440848Z 4 CALL_FUNCTION 1 2022-11-23T01:37:54.7440937Z 6 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.7441012Z 8 RETURN_VALUE 2022-11-23T01:37:54.7441016Z 2022-11-23T01:37:54.7441105Z 2022-11-23T01:37:54.7441289Z [2022-11-23 01:31:47,434] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.7441359Z - 2022-11-23T01:37:54.7441480Z local 'a' TENSOR_MATCH 2022-11-23T01:37:54.7441545Z { 2022-11-23T01:37:54.7441689Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7441797Z 'code': None, 2022-11-23T01:37:54.7442004Z 'obj_weakref': 2022-11-23T01:37:54.7442259Z 'guarded_class': 2022-11-23T01:37:54.7442327Z } 2022-11-23T01:37:54.7442390Z 2022-11-23T01:37:54.7442459Z - 2022-11-23T01:37:54.7442592Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.7442654Z { 2022-11-23T01:37:54.7442763Z 'guard_types': None, 2022-11-23T01:37:54.7442869Z 'code': None, 2022-11-23T01:37:54.7442993Z 'obj_weakref': None 2022-11-23T01:37:54.7443114Z 'guarded_class': None 2022-11-23T01:37:54.7443175Z } 2022-11-23T01:37:54.7443236Z 2022-11-23T01:37:54.7443496Z [2022-11-23 01:31:47,445] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 164 2022-11-23T01:37:54.7443741Z [2022-11-23 01:31:47,446] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager 2022-11-23T01:37:54.7444110Z [2022-11-23 01:31:47,456] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/za/czak3y4bsd5qpwdvzg4nj6qzpxoszcrdghe3hyp45x3wc7il7eud.py 2022-11-23T01:37:54.7444375Z [2022-11-23 01:31:47,456] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 164 2022-11-23T01:37:54.7444380Z 2022-11-23T01:37:54.7444472Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.7444540Z import torch 2022-11-23T01:37:54.7444606Z import random 2022-11-23T01:37:54.7444722Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.7444842Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.7444847Z 2022-11-23T01:37:54.7444926Z aten = torch.ops.aten 2022-11-23T01:37:54.7445047Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.7445137Z async_compile = AsyncCompile() 2022-11-23T01:37:54.7445298Z seed_cpu_None = None # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce 2022-11-23T01:37:54.7445303Z 2022-11-23T01:37:54.7445307Z 2022-11-23T01:37:54.7445445Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.7445648Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.7445762Z extern "C" void kernel(const long* __restrict__ seed0, 2022-11-23T01:37:54.7445867Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.7445965Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.7446016Z { 2022-11-23T01:37:54.7446093Z #pragma GCC ivdep 2022-11-23T01:37:54.7446173Z for(long i0=0; i0<1024; i0+=1) 2022-11-23T01:37:54.7446231Z { 2022-11-23T01:37:54.7446292Z { 2022-11-23T01:37:54.7446352Z { 2022-11-23T01:37:54.7446422Z auto tmp0 = seed0[0]; 2022-11-23T01:37:54.7446507Z auto tmp6 = in_ptr1[i0]; 2022-11-23T01:37:54.7446632Z auto tmp1 = static_cast(i0); 2022-11-23T01:37:54.7446769Z auto tmp2 = static_cast(normalized_rand_cpu(tmp0, tmp1));; 2022-11-23T01:37:54.7446871Z auto tmp3 = static_cast(0.55); 2022-11-23T01:37:54.7446955Z auto tmp4 = tmp2 > tmp3; 2022-11-23T01:37:54.7447057Z auto tmp5 = static_cast(tmp4); 2022-11-23T01:37:54.7447143Z auto tmp7 = tmp5 * tmp6; 2022-11-23T01:37:54.7447242Z auto tmp8 = static_cast(2.2222222222222223); 2022-11-23T01:37:54.7447326Z auto tmp9 = tmp7 * tmp8; 2022-11-23T01:37:54.7447436Z out_ptr0[i0] = tmp9; 2022-11-23T01:37:54.7447496Z } 2022-11-23T01:37:54.7447559Z } 2022-11-23T01:37:54.7447619Z } 2022-11-23T01:37:54.7447665Z } 2022-11-23T01:37:54.7447744Z ''') 2022-11-23T01:37:54.7447749Z 2022-11-23T01:37:54.7447753Z 2022-11-23T01:37:54.7447839Z async_compile.wait(globals()) 2022-11-23T01:37:54.7447910Z del async_compile 2022-11-23T01:37:54.7447915Z 2022-11-23T01:37:54.7447983Z def call(args): 2022-11-23T01:37:54.7448050Z arg0_1, = args 2022-11-23T01:37:54.7448119Z args.clear() 2022-11-23T01:37:54.7448248Z torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None) 2022-11-23T01:37:54.7448437Z buf0 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7448611Z kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.7448678Z del arg0_1 2022-11-23T01:37:54.7448751Z return (buf0, ) 2022-11-23T01:37:54.7448759Z 2022-11-23T01:37:54.7448763Z 2022-11-23T01:37:54.7448838Z if __name__ == "__main__": 2022-11-23T01:37:54.7448950Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.7449072Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.7449265Z seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7449456Z arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7449565Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.7449570Z 2022-11-23T01:37:54.7449574Z 2022-11-23T01:37:54.7449667Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.7449735Z import torch 2022-11-23T01:37:54.7449804Z import random 2022-11-23T01:37:54.7449916Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.7450034Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.7450039Z 2022-11-23T01:37:54.7450117Z aten = torch.ops.aten 2022-11-23T01:37:54.7450239Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.7450332Z async_compile = AsyncCompile() 2022-11-23T01:37:54.7450491Z seed_cpu_None = None # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce 2022-11-23T01:37:54.7450497Z 2022-11-23T01:37:54.7450501Z 2022-11-23T01:37:54.7450636Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.7450843Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.7450955Z extern "C" void kernel(const long* __restrict__ seed0, 2022-11-23T01:37:54.7451058Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.7451155Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.7451206Z { 2022-11-23T01:37:54.7451284Z #pragma GCC ivdep 2022-11-23T01:37:54.7451364Z for(long i0=0; i0<1024; i0+=1) 2022-11-23T01:37:54.7451426Z { 2022-11-23T01:37:54.7451490Z { 2022-11-23T01:37:54.7451554Z { 2022-11-23T01:37:54.7451626Z auto tmp0 = seed0[0]; 2022-11-23T01:37:54.7451712Z auto tmp6 = in_ptr1[i0]; 2022-11-23T01:37:54.7451809Z auto tmp1 = static_cast(i0); 2022-11-23T01:37:54.7451944Z auto tmp2 = static_cast(normalized_rand_cpu(tmp0, tmp1));; 2022-11-23T01:37:54.7452075Z auto tmp3 = static_cast(0.55); 2022-11-23T01:37:54.7452163Z auto tmp4 = tmp2 > tmp3; 2022-11-23T01:37:54.7452268Z auto tmp5 = static_cast(tmp4); 2022-11-23T01:37:54.7452354Z auto tmp7 = tmp5 * tmp6; 2022-11-23T01:37:54.7452454Z auto tmp8 = static_cast(2.2222222222222223); 2022-11-23T01:37:54.7452537Z auto tmp9 = tmp7 * tmp8; 2022-11-23T01:37:54.7452617Z out_ptr0[i0] = tmp9; 2022-11-23T01:37:54.7452682Z } 2022-11-23T01:37:54.7452743Z } 2022-11-23T01:37:54.7452802Z } 2022-11-23T01:37:54.7452879Z } 2022-11-23T01:37:54.7452959Z ''') 2022-11-23T01:37:54.7452964Z 2022-11-23T01:37:54.7452968Z 2022-11-23T01:37:54.7453057Z async_compile.wait(globals()) 2022-11-23T01:37:54.7453127Z del async_compile 2022-11-23T01:37:54.7453132Z 2022-11-23T01:37:54.7453199Z def call(args): 2022-11-23T01:37:54.7453266Z arg0_1, = args 2022-11-23T01:37:54.7453333Z args.clear() 2022-11-23T01:37:54.7453465Z torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None) 2022-11-23T01:37:54.7453652Z buf0 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7453823Z kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.7453889Z del arg0_1 2022-11-23T01:37:54.7453960Z return (buf0, ) 2022-11-23T01:37:54.7453965Z 2022-11-23T01:37:54.7453969Z 2022-11-23T01:37:54.7454042Z if __name__ == "__main__": 2022-11-23T01:37:54.7454153Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.7454276Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.7454470Z seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7454657Z arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7454766Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.7454771Z 2022-11-23T01:37:54.7454838Z ok (1.478s) 2022-11-23T01:37:54.7455167Z test_dtype_mismatch_issue_cpu (__main__.CpuTests) ... [2022-11-23 01:31:47,463] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:37:54.7455440Z [2022-11-23 01:31:47,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4613 2022-11-23T01:37:54.7455664Z [2022-11-23 01:31:47,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.7456024Z [2022-11-23 01:31:47,463] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable()] 2022-11-23T01:37:54.7456410Z [2022-11-23 01:31:47,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable()] 2022-11-23T01:37:54.7456809Z [2022-11-23 01:31:47,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pad [TorchVariable()] 2022-11-23T01:37:54.7457082Z [2022-11-23 01:31:47,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:37:54.7457372Z [2022-11-23 01:31:47,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.7457710Z [2022-11-23 01:31:47,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.7458089Z [2022-11-23 01:31:47,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.7458448Z [2022-11-23 01:31:47,464] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:37:54.7458697Z [2022-11-23 01:31:47,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST attn [TensorVariable()] 2022-11-23T01:37:54.7459176Z [2022-11-23 01:31:47,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4614 2022-11-23T01:37:54.7459398Z [2022-11-23 01:31:47,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST attn [] 2022-11-23T01:37:54.7459648Z [2022-11-23 01:31:47,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TensorVariable()] 2022-11-23T01:37:54.7459936Z [2022-11-23 01:31:47,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), softmax)] 2022-11-23T01:37:54.7460320Z [2022-11-23 01:31:47,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dim',) [GetAttrVariable(TensorVariable(), softmax), ConstantVariable(int)] 2022-11-23T01:37:54.7460680Z [2022-11-23 01:31:47,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 1 [GetAttrVariable(TensorVariable(), softmax), ConstantVariable(int), ConstantVariable(tuple)] 2022-11-23T01:37:54.7460929Z [2022-11-23 01:31:47,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.7461163Z [2022-11-23 01:31:47,469] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:37:54.7461408Z [2022-11-23 01:31:47,470] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:37:54.7461648Z [2022-11-23 01:31:47,474] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:37:54.7461845Z [2022-11-23 01:31:47,475] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.7461980Z __compiled_fn_166 .1455 opcode, name, target, args, kwargs 2022-11-23T01:37:54.7462063Z placeholder, x, x, (), {} 2022-11-23T01:37:54.7462244Z call_function, pad, , (x, [0, 1]), {} 2022-11-23T01:37:54.7462393Z call_method, softmax, softmax, (pad,), {'dim': -1} 2022-11-23T01:37:54.7462492Z output, output, output, ((softmax,),), {} 2022-11-23T01:37:54.7462498Z 2022-11-23T01:37:54.7462775Z [2022-11-23 01:31:47,475] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 4612 2022-11-23T01:37:54.7462874Z 4613 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.7462966Z 2 LOAD_ATTR 1 (nn) 2022-11-23T01:37:54.7463067Z 4 LOAD_ATTR 2 (functional) 2022-11-23T01:37:54.7463161Z 6 LOAD_METHOD 3 (pad) 2022-11-23T01:37:54.7463252Z 8 LOAD_FAST 0 (x) 2022-11-23T01:37:54.7463329Z 10 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7463415Z 12 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7463502Z 14 BUILD_LIST 2 2022-11-23T01:37:54.7463591Z 16 CALL_METHOD 2 2022-11-23T01:37:54.7463683Z 18 STORE_FAST 1 (attn) 2022-11-23T01:37:54.7463688Z 2022-11-23T01:37:54.7463776Z 4614 20 LOAD_FAST 1 (attn) 2022-11-23T01:37:54.7463869Z 22 LOAD_ATTR 4 (softmax) 2022-11-23T01:37:54.7463996Z 24 LOAD_CONST 3 (-1) 2022-11-23T01:37:54.7464141Z 26 LOAD_CONST 4 (('dim',)) 2022-11-23T01:37:54.7464231Z 28 CALL_FUNCTION_KW 1 2022-11-23T01:37:54.7464306Z 30 RETURN_VALUE 2022-11-23T01:37:54.7464311Z 2022-11-23T01:37:54.7464370Z 2022-11-23T01:37:54.7464654Z [2022-11-23 01:31:47,475] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 4612 2022-11-23T01:37:54.7464761Z 4612 0 LOAD_GLOBAL 5 (__compiled_fn_166) 2022-11-23T01:37:54.7464848Z 2 LOAD_FAST 0 (x) 2022-11-23T01:37:54.7464924Z 4 CALL_FUNCTION 1 2022-11-23T01:37:54.7465060Z 6 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.7465137Z 8 RETURN_VALUE 2022-11-23T01:37:54.7465142Z 2022-11-23T01:37:54.7465200Z 2022-11-23T01:37:54.7465386Z [2022-11-23 01:31:47,475] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.7465457Z - 2022-11-23T01:37:54.7465578Z local 'x' TENSOR_MATCH 2022-11-23T01:37:54.7465632Z { 2022-11-23T01:37:54.7465776Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7465884Z 'code': None, 2022-11-23T01:37:54.7466101Z 'obj_weakref': 2022-11-23T01:37:54.7466390Z 'guarded_class': 2022-11-23T01:37:54.7466454Z } 2022-11-23T01:37:54.7466515Z 2022-11-23T01:37:54.7466573Z - 2022-11-23T01:37:54.7466705Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.7466770Z { 2022-11-23T01:37:54.7466894Z 'guard_types': None, 2022-11-23T01:37:54.7467002Z 'code': None, 2022-11-23T01:37:54.7467124Z 'obj_weakref': None 2022-11-23T01:37:54.7467246Z 'guarded_class': None 2022-11-23T01:37:54.7467296Z } 2022-11-23T01:37:54.7467355Z 2022-11-23T01:37:54.7467615Z [2022-11-23 01:31:47,484] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 165 2022-11-23T01:37:54.7467986Z [2022-11-23 01:31:48,910] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lu/clue4f24laezccbmok2gxhoobdovaalqcwucvoxrrlmx26p3vyj3.py 2022-11-23T01:37:54.7468347Z [2022-11-23 01:31:48,911] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 165 2022-11-23T01:37:54.7468354Z 2022-11-23T01:37:54.7468450Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.7468519Z import torch 2022-11-23T01:37:54.7468586Z import random 2022-11-23T01:37:54.7468692Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.7468812Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.7468817Z 2022-11-23T01:37:54.7468895Z aten = torch.ops.aten 2022-11-23T01:37:54.7469028Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.7469124Z async_compile = AsyncCompile() 2022-11-23T01:37:54.7469129Z 2022-11-23T01:37:54.7469133Z 2022-11-23T01:37:54.7469277Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.7469481Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.7469601Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:37:54.7469694Z const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.7469792Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.7469887Z float* __restrict__ out_ptr2) 2022-11-23T01:37:54.7469950Z { 2022-11-23T01:37:54.7470037Z auto out_ptr1 = in_out_ptr0; 2022-11-23T01:37:54.7470112Z #pragma GCC ivdep 2022-11-23T01:37:54.7470194Z for(long i0=0; i0<4096; i0+=1) 2022-11-23T01:37:54.7470243Z { 2022-11-23T01:37:54.7470304Z { 2022-11-23T01:37:54.7470366Z { 2022-11-23T01:37:54.7470615Z float tmp5 = -std::numeric_limits::infinity(); 2022-11-23T01:37:54.7470704Z for(long i1=0; i1<64; i1+=1) 2022-11-23T01:37:54.7470767Z { 2022-11-23T01:37:54.7470831Z { 2022-11-23T01:37:54.7470924Z auto tmp0 = static_cast(i1); 2022-11-23T01:37:54.7471029Z auto tmp1 = static_cast(63); 2022-11-23T01:37:54.7471121Z auto tmp2 = tmp0 < tmp1; 2022-11-23T01:37:54.7471206Z float tmp3 = 0.0; 2022-11-23T01:37:54.7471280Z if(tmp2) 2022-11-23T01:37:54.7471349Z { 2022-11-23T01:37:54.7471485Z auto tmp4 = in_ptr0[i1 + (63*i0)]; 2022-11-23T01:37:54.7471556Z tmp3 = tmp4; 2022-11-23T01:37:54.7471624Z } 2022-11-23T01:37:54.7471726Z tmp5 = std::max(tmp5, tmp3); 2022-11-23T01:37:54.7471793Z } 2022-11-23T01:37:54.7471858Z } 2022-11-23T01:37:54.7471941Z out_ptr0[i0] = tmp5; 2022-11-23T01:37:54.7472003Z } 2022-11-23T01:37:54.7472053Z } 2022-11-23T01:37:54.7472115Z } 2022-11-23T01:37:54.7472190Z #pragma GCC ivdep 2022-11-23T01:37:54.7472309Z for(long i0=0; i0<4096; i0+=1) 2022-11-23T01:37:54.7472372Z { 2022-11-23T01:37:54.7472435Z { 2022-11-23T01:37:54.7472485Z { 2022-11-23T01:37:54.7472564Z float tmp8 = 0; 2022-11-23T01:37:54.7472654Z for(long i1=0; i1<64; i1+=1) 2022-11-23T01:37:54.7472720Z { 2022-11-23T01:37:54.7472787Z { 2022-11-23T01:37:54.7472884Z auto tmp5 = out_ptr0[i0]; 2022-11-23T01:37:54.7472990Z auto tmp0 = static_cast(i1); 2022-11-23T01:37:54.7473082Z auto tmp1 = static_cast(63); 2022-11-23T01:37:54.7473175Z auto tmp2 = tmp0 < tmp1; 2022-11-23T01:37:54.7473262Z float tmp3 = 0.0; 2022-11-23T01:37:54.7473338Z if(tmp2) 2022-11-23T01:37:54.7473410Z { 2022-11-23T01:37:54.7473514Z auto tmp4 = in_ptr0[i1 + (63*i0)]; 2022-11-23T01:37:54.7473598Z tmp3 = tmp4; 2022-11-23T01:37:54.7473653Z } 2022-11-23T01:37:54.7473802Z auto tmp6 = tmp3 - tmp5; 2022-11-23T01:37:54.7473906Z auto tmp7 = std::exp(tmp6); 2022-11-23T01:37:54.7474001Z out_ptr1[i1 + (64*i0)] = tmp7; 2022-11-23T01:37:54.7474085Z tmp8 += tmp7; 2022-11-23T01:37:54.7474153Z } 2022-11-23T01:37:54.7474219Z } 2022-11-23T01:37:54.7474288Z out_ptr2[i0] = tmp8; 2022-11-23T01:37:54.7474352Z } 2022-11-23T01:37:54.7474416Z } 2022-11-23T01:37:54.7474477Z } 2022-11-23T01:37:54.7474554Z #pragma GCC ivdep 2022-11-23T01:37:54.7474634Z for(long i0=0; i0<4096; i0+=1) 2022-11-23T01:37:54.7474696Z { 2022-11-23T01:37:54.7474763Z for(long i1=0; i1<8; i1+=1) 2022-11-23T01:37:54.7474826Z { 2022-11-23T01:37:54.7474970Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr1 + (8*i1) + (64*i0)); 2022-11-23T01:37:54.7475099Z auto tmp1 = at::vec::Vectorized(out_ptr2[i0]); 2022-11-23T01:37:54.7475185Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:54.7475288Z tmp2.store(in_out_ptr0 + (8*i1) + (64*i0)); 2022-11-23T01:37:54.7475351Z } 2022-11-23T01:37:54.7475427Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.7475510Z for(long i1=64; i1<64; i1+=1) 2022-11-23T01:37:54.7475575Z { 2022-11-23T01:37:54.7475672Z auto tmp0 = out_ptr1[i1 + (64*i0)]; 2022-11-23T01:37:54.7475755Z auto tmp1 = out_ptr2[i0]; 2022-11-23T01:37:54.7475840Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:54.7475933Z in_out_ptr0[i1 + (64*i0)] = tmp2; 2022-11-23T01:37:54.7475981Z } 2022-11-23T01:37:54.7476043Z } 2022-11-23T01:37:54.7476103Z } 2022-11-23T01:37:54.7476184Z ''') 2022-11-23T01:37:54.7476190Z 2022-11-23T01:37:54.7476194Z 2022-11-23T01:37:54.7476282Z async_compile.wait(globals()) 2022-11-23T01:37:54.7476357Z del async_compile 2022-11-23T01:37:54.7476362Z 2022-11-23T01:37:54.7476430Z def call(args): 2022-11-23T01:37:54.7476486Z arg0_1, = args 2022-11-23T01:37:54.7476555Z args.clear() 2022-11-23T01:37:54.7476773Z buf0 = empty_strided((128, 32, 1), (32, 1, 4096), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7477017Z buf1 = empty_strided((128, 32, 64), (2048, 64, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7477232Z buf2 = empty_strided((128, 32, 1), (32, 1, 4096), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7477315Z buf3 = buf1; del buf1 # reuse 2022-11-23T01:37:54.7477504Z kernel_cpp_0(c_void_p(buf3.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:37:54.7477570Z del arg0_1 2022-11-23T01:37:54.7477629Z return (buf3, ) 2022-11-23T01:37:54.7477634Z 2022-11-23T01:37:54.7477638Z 2022-11-23T01:37:54.7477712Z if __name__ == "__main__": 2022-11-23T01:37:54.7477856Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.7477977Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.7478194Z arg0_1 = rand_strided((128, 32, 63), (2016, 63, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7478301Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.7478306Z 2022-11-23T01:37:54.7478374Z ok (1.465s) 2022-11-23T01:37:54.7478680Z test_elu_cpu (__main__.CpuTests) ... [2022-11-23 01:31:48,927] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.7478942Z [2022-11-23 01:31:48,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.7479164Z [2022-11-23 01:31:48,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.7479420Z [2022-11-23 01:31:48,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.7479715Z [2022-11-23 01:31:48,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.7480044Z [2022-11-23 01:31:48,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.7480378Z [2022-11-23 01:31:48,928] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.7480472Z 2106 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.7480563Z 2 LOAD_METHOD 1 (elu) 2022-11-23T01:37:54.7480655Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:54.7480743Z 6 LOAD_CONST 1 (1.6732632423543772) 2022-11-23T01:37:54.7480840Z 8 LOAD_CONST 2 (1.0507009873554805) 2022-11-23T01:37:54.7480928Z 10 CALL_METHOD 3 2022-11-23T01:37:54.7481018Z 12 LOAD_CONST 3 (2) 2022-11-23T01:37:54.7481089Z 14 BINARY_ADD 2022-11-23T01:37:54.7481180Z 16 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.7481270Z 18 LOAD_METHOD 1 (elu) 2022-11-23T01:37:54.7481275Z 2022-11-23T01:37:54.7481360Z 2107 20 LOAD_FAST 0 (x) 2022-11-23T01:37:54.7481437Z 22 LOAD_CONST 4 (1) 2022-11-23T01:37:54.7481509Z 24 BINARY_ADD 2022-11-23T01:37:54.7481593Z 26 LOAD_CONST 3 (2) 2022-11-23T01:37:54.7481680Z 28 LOAD_CONST 5 (3) 2022-11-23T01:37:54.7481763Z 30 LOAD_CONST 6 (4) 2022-11-23T01:37:54.7481848Z 32 CALL_METHOD 4 2022-11-23T01:37:54.7481933Z 34 BUILD_TUPLE 2 2022-11-23T01:37:54.7481996Z 36 RETURN_VALUE 2022-11-23T01:37:54.7482054Z 2022-11-23T01:37:54.7482061Z 2022-11-23T01:37:54.7482334Z [2022-11-23 01:31:48,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2106 2022-11-23T01:37:54.7482554Z [2022-11-23 01:31:48,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.7482889Z [2022-11-23 01:31:48,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR elu [TorchVariable()] 2022-11-23T01:37:54.7483147Z [2022-11-23 01:31:48,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.elu)] 2022-11-23T01:37:54.7483445Z [2022-11-23 01:31:48,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.6732632423543772 [TorchVariable(aten.elu), TensorVariable()] 2022-11-23T01:37:54.7483781Z [2022-11-23 01:31:48,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0507009873554805 [TorchVariable(aten.elu), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:37:54.7484146Z [2022-11-23 01:31:48,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.elu), TensorVariable(), ConstantVariable(float), ConstantVariable(float)] 2022-11-23T01:37:54.7484418Z [2022-11-23 01:31:48,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:37:54.7484703Z [2022-11-23 01:31:48,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.7484947Z [2022-11-23 01:31:48,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:54.7485283Z [2022-11-23 01:31:48,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR elu [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.7485550Z [2022-11-23 01:31:48,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2107 2022-11-23T01:37:54.7485828Z [2022-11-23 01:31:48,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.elu)] 2022-11-23T01:37:54.7486135Z [2022-11-23 01:31:48,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.elu), TensorVariable()] 2022-11-23T01:37:54.7486487Z [2022-11-23 01:31:48,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.elu), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.7486794Z [2022-11-23 01:31:48,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.elu), TensorVariable()] 2022-11-23T01:37:54.7487139Z [2022-11-23 01:31:48,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(aten.elu), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.7487521Z [2022-11-23 01:31:48,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable(), TorchVariable(aten.elu), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.7487940Z [2022-11-23 01:31:48,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), TorchVariable(aten.elu), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.7488211Z [2022-11-23 01:31:48,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7488460Z [2022-11-23 01:31:48,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7488788Z [2022-11-23 01:31:48,947] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.7489035Z [2022-11-23 01:31:48,947] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7489270Z [2022-11-23 01:31:48,947] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.7489531Z [2022-11-23 01:31:48,948] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.7489782Z [2022-11-23 01:31:48,954] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.7489974Z [2022-11-23 01:31:48,954] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.7490136Z __compiled_fn_167 .1461 opcode, name, target, args, kwargs 2022-11-23T01:37:54.7490217Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.7490339Z call_function, elu, aten.elu, (ex_0_, 1.6732632423543772, 1.0507009873554805), {} 2022-11-23T01:37:54.7490510Z call_function, add, , (elu, 2), {} 2022-11-23T01:37:54.7490686Z call_function, add_1, , (ex_0_, 1), {} 2022-11-23T01:37:54.7490791Z call_function, elu_1, aten.elu, (add_1, 2, 3, 4), {} 2022-11-23T01:37:54.7490891Z output, output, output, ((add, elu_1),), {} 2022-11-23T01:37:54.7490896Z 2022-11-23T01:37:54.7491208Z [2022-11-23 01:31:48,955] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7491302Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.7491380Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7491468Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.7491558Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.7491633Z 8 RETURN_VALUE 2022-11-23T01:37:54.7491638Z 2022-11-23T01:37:54.7491697Z 2022-11-23T01:37:54.7491972Z [2022-11-23 01:31:48,955] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7492079Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_167) 2022-11-23T01:37:54.7492157Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7492245Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7492320Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.7492408Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.7492510Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7492609Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7492695Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7492767Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.7492857Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7492944Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7493017Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.7493102Z 24 BUILD_TUPLE 2 2022-11-23T01:37:54.7493174Z 26 RETURN_VALUE 2022-11-23T01:37:54.7493179Z 2022-11-23T01:37:54.7493237Z 2022-11-23T01:37:54.7493422Z [2022-11-23 01:31:48,956] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.7493485Z - 2022-11-23T01:37:54.7493604Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.7493667Z { 2022-11-23T01:37:54.7493812Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.7494000Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.7494122Z 'obj_weakref': None 2022-11-23T01:37:54.7494346Z 'guarded_class': 2022-11-23T01:37:54.7494400Z } 2022-11-23T01:37:54.7494463Z 2022-11-23T01:37:54.7494532Z - 2022-11-23T01:37:54.7494657Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.7494717Z { 2022-11-23T01:37:54.7494861Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7494967Z 'code': None, 2022-11-23T01:37:54.7495172Z 'obj_weakref': 2022-11-23T01:37:54.7495426Z 'guarded_class': 2022-11-23T01:37:54.7495492Z } 2022-11-23T01:37:54.7495554Z 2022-11-23T01:37:54.7495624Z - 2022-11-23T01:37:54.7495754Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.7495817Z { 2022-11-23T01:37:54.7495939Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.7496112Z 'code': ['___check_obj_id(model, 140538743814624)'], 2022-11-23T01:37:54.7496261Z 'obj_weakref': None 2022-11-23T01:37:54.7496493Z 'guarded_class': 2022-11-23T01:37:54.7496555Z } 2022-11-23T01:37:54.7496616Z 2022-11-23T01:37:54.7496685Z - 2022-11-23T01:37:54.7496796Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.7496858Z { 2022-11-23T01:37:54.7496996Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.7497214Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.7497370Z 'obj_weakref': None 2022-11-23T01:37:54.7497595Z 'guarded_class': 2022-11-23T01:37:54.7497658Z } 2022-11-23T01:37:54.7497706Z 2022-11-23T01:37:54.7497775Z - 2022-11-23T01:37:54.7497907Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.7497971Z { 2022-11-23T01:37:54.7498090Z 'guard_types': None, 2022-11-23T01:37:54.7498198Z 'code': None, 2022-11-23T01:37:54.7498318Z 'obj_weakref': None 2022-11-23T01:37:54.7498429Z 'guarded_class': None 2022-11-23T01:37:54.7498490Z } 2022-11-23T01:37:54.7498551Z 2022-11-23T01:37:54.7498998Z [2022-11-23 01:31:48,972] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 166 2022-11-23T01:37:54.7499244Z [2022-11-23 01:31:48,976] torch._inductor.graph: [WARNING] Creating implicit fallback for: 2022-11-23T01:37:54.7499337Z target: aten.expm1.default 2022-11-23T01:37:54.7499426Z args[0]: TensorBox(StorageBox( 2022-11-23T01:37:54.7499484Z Pointwise( 2022-11-23T01:37:54.7499572Z 'cpu', 2022-11-23T01:37:54.7499645Z torch.float32, 2022-11-23T01:37:54.7499764Z load(arg0_1, i1 + 16 * i0) * constant(1.0, torch.float32), 2022-11-23T01:37:54.7499837Z ranges=[16, 16], 2022-11-23T01:37:54.7499921Z origins={mul_1, arg0_1} 2022-11-23T01:37:54.7499969Z ) 2022-11-23T01:37:54.7500030Z )) 2022-11-23T01:37:54.7500342Z [2022-11-23 01:31:48,977] torch._inductor.lowering: [WARNING] make_fallback(aten.expm1.default): a decomposition exists, we should switch to it 2022-11-23T01:37:54.7500603Z [2022-11-23 01:31:48,980] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten.expm1.default 2022-11-23T01:37:54.7500859Z [2022-11-23 01:31:48,986] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten.expm1.default 2022-11-23T01:37:54.7501224Z [2022-11-23 01:31:50,549] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xk/cxkszxyucqkc4leuj2j66lfswemjw5vtg2dmaw2qo7lbpi65jrwh.py 2022-11-23T01:37:54.7501493Z [2022-11-23 01:31:50,549] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 166 2022-11-23T01:37:54.7501499Z 2022-11-23T01:37:54.7501591Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.7501662Z import torch 2022-11-23T01:37:54.7501721Z import random 2022-11-23T01:37:54.7501835Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.7501954Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.7501959Z 2022-11-23T01:37:54.7502034Z aten = torch.ops.aten 2022-11-23T01:37:54.7502162Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.7502255Z async_compile = AsyncCompile() 2022-11-23T01:37:54.7502260Z 2022-11-23T01:37:54.7502264Z 2022-11-23T01:37:54.7502400Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.7502606Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.7502717Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.7502815Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.7502909Z float* __restrict__ out_ptr1) 2022-11-23T01:37:54.7502969Z { 2022-11-23T01:37:54.7503135Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:37:54.7503199Z { 2022-11-23T01:37:54.7503336Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:54.7503457Z auto tmp1 = at::vec::Vectorized(static_cast(1.0)); 2022-11-23T01:37:54.7503541Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:54.7503669Z auto tmp3 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:54.7503753Z auto tmp4 = tmp0 + tmp3; 2022-11-23T01:37:54.7503879Z auto tmp5 = at::vec::Vectorized(static_cast(4)); 2022-11-23T01:37:54.7503958Z auto tmp6 = tmp4 * tmp5; 2022-11-23T01:37:54.7504084Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.7504167Z tmp6.store(out_ptr1 + 8*i0); 2022-11-23T01:37:54.7504216Z } 2022-11-23T01:37:54.7504302Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.7504381Z for(long i0=256; i0<256; i0+=1) 2022-11-23T01:37:54.7504441Z { 2022-11-23T01:37:54.7504523Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.7504621Z auto tmp1 = static_cast(1.0); 2022-11-23T01:37:54.7504689Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:54.7504782Z auto tmp3 = static_cast(1); 2022-11-23T01:37:54.7504859Z auto tmp4 = tmp0 + tmp3; 2022-11-23T01:37:54.7504951Z auto tmp5 = static_cast(4); 2022-11-23T01:37:54.7505031Z auto tmp6 = tmp4 * tmp5; 2022-11-23T01:37:54.7505106Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:54.7505180Z out_ptr1[i0] = tmp6; 2022-11-23T01:37:54.7505228Z } 2022-11-23T01:37:54.7505289Z } 2022-11-23T01:37:54.7505374Z ''') 2022-11-23T01:37:54.7505379Z 2022-11-23T01:37:54.7505383Z 2022-11-23T01:37:54.7505517Z kernel_cpp_1 = async_compile.cpp(''' 2022-11-23T01:37:54.7505722Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.7505839Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:37:54.7505943Z float* __restrict__ in_out_ptr1, 2022-11-23T01:37:54.7506046Z const float* __restrict__ in_ptr0) 2022-11-23T01:37:54.7506093Z { 2022-11-23T01:37:54.7506167Z #pragma GCC ivdep 2022-11-23T01:37:54.7506246Z for(long i0=0; i0<256; i0+=1) 2022-11-23T01:37:54.7506305Z { 2022-11-23T01:37:54.7506365Z { 2022-11-23T01:37:54.7506428Z { 2022-11-23T01:37:54.7506502Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.7506600Z auto tmp5 = in_out_ptr0[i0]; 2022-11-23T01:37:54.7506691Z auto tmp16 = in_out_ptr1[i0]; 2022-11-23T01:37:54.7506792Z auto tmp1 = static_cast(0); 2022-11-23T01:37:54.7506877Z auto tmp2 = tmp0 > tmp1; 2022-11-23T01:37:54.7506987Z auto tmp3 = static_cast(1.0507009873554805); 2022-11-23T01:37:54.7507078Z auto tmp4 = tmp0 * tmp3; 2022-11-23T01:37:54.7507189Z auto tmp6 = static_cast(1.7580993408473766); 2022-11-23T01:37:54.7507265Z auto tmp7 = tmp5 * tmp6; 2022-11-23T01:37:54.7507358Z auto tmp8 = tmp2 ? tmp4 : tmp7; 2022-11-23T01:37:54.7507455Z auto tmp9 = static_cast(2); 2022-11-23T01:37:54.7507541Z auto tmp10 = tmp8 + tmp9; 2022-11-23T01:37:54.7507638Z auto tmp11 = static_cast(1); 2022-11-23T01:37:54.7507725Z auto tmp12 = tmp0 + tmp11; 2022-11-23T01:37:54.7507810Z auto tmp13 = tmp12 > tmp1; 2022-11-23T01:37:54.7507896Z auto tmp14 = static_cast(3); 2022-11-23T01:37:54.7507988Z auto tmp15 = tmp12 * tmp14; 2022-11-23T01:37:54.7508084Z auto tmp17 = static_cast(6); 2022-11-23T01:37:54.7508282Z auto tmp18 = tmp16 * tmp17; 2022-11-23T01:37:54.7508379Z auto tmp19 = tmp13 ? tmp15 : tmp18; 2022-11-23T01:37:54.7508463Z in_out_ptr0[i0] = tmp10; 2022-11-23T01:37:54.7508583Z in_out_ptr1[i0] = tmp19; 2022-11-23T01:37:54.7508636Z } 2022-11-23T01:37:54.7508698Z } 2022-11-23T01:37:54.7508760Z } 2022-11-23T01:37:54.7508818Z } 2022-11-23T01:37:54.7508902Z ''') 2022-11-23T01:37:54.7508907Z 2022-11-23T01:37:54.7508911Z 2022-11-23T01:37:54.7509001Z async_compile.wait(globals()) 2022-11-23T01:37:54.7509073Z del async_compile 2022-11-23T01:37:54.7509078Z 2022-11-23T01:37:54.7509134Z def call(args): 2022-11-23T01:37:54.7509203Z arg0_1, = args 2022-11-23T01:37:54.7509274Z args.clear() 2022-11-23T01:37:54.7509481Z buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7509717Z buf3 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7509883Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf3.data_ptr())) 2022-11-23T01:37:54.7509999Z buf1 = torch.ops.aten.expm1.default(buf0) 2022-11-23T01:37:54.7510054Z del buf0 2022-11-23T01:37:54.7510127Z buf2 = buf1 2022-11-23T01:37:54.7510227Z assert_size_stride(buf2, (16, 16), (16, 1)) 2022-11-23T01:37:54.7510293Z del buf1 2022-11-23T01:37:54.7510407Z buf4 = torch.ops.aten.expm1.default(buf3) 2022-11-23T01:37:54.7510472Z del buf3 2022-11-23T01:37:54.7510538Z buf5 = buf4 2022-11-23T01:37:54.7510621Z assert_size_stride(buf5, (16, 16), (16, 1)) 2022-11-23T01:37:54.7510685Z del buf4 2022-11-23T01:37:54.7510769Z buf6 = buf2; del buf2 # reuse 2022-11-23T01:37:54.7510851Z buf7 = buf5; del buf5 # reuse 2022-11-23T01:37:54.7511008Z kernel_cpp_1(c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(arg0_1.data_ptr())) 2022-11-23T01:37:54.7511080Z del arg0_1 2022-11-23T01:37:54.7511159Z return (buf6, buf7, ) 2022-11-23T01:37:54.7511164Z 2022-11-23T01:37:54.7511167Z 2022-11-23T01:37:54.7511245Z if __name__ == "__main__": 2022-11-23T01:37:54.7511346Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.7511475Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.7511679Z arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7511787Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.7511791Z 2022-11-23T01:37:54.7511860Z ok (1.630s) 2022-11-23T01:37:54.7512182Z test_embedding_bag_cpu (__main__.CpuTests) ... [2022-11-23 01:31:50,558] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.7512460Z [2022-11-23 01:31:50,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.7512685Z [2022-11-23 01:31:50,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.7512931Z [2022-11-23 01:31:50,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.7513223Z [2022-11-23 01:31:50,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.7513549Z [2022-11-23 01:31:50,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.7513881Z [2022-11-23 01:31:50,558] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.7513978Z 2304 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.7514084Z 2 LOAD_METHOD 1 (_embedding_bag) 2022-11-23T01:37:54.7514176Z 4 LOAD_FAST 0 (w) 2022-11-23T01:37:54.7514269Z 6 LOAD_FAST 1 (i) 2022-11-23T01:37:54.7514343Z 8 LOAD_FAST 2 (o) 2022-11-23T01:37:54.7514438Z 10 LOAD_CONST 1 (False) 2022-11-23T01:37:54.7514527Z 12 LOAD_CONST 2 (0) 2022-11-23T01:37:54.7514620Z 14 LOAD_CONST 1 (False) 2022-11-23T01:37:54.7514743Z 16 LOAD_CONST 0 (None) 2022-11-23T01:37:54.7514831Z 18 CALL_METHOD 7 2022-11-23T01:37:54.7514910Z 20 RETURN_VALUE 2022-11-23T01:37:54.7514961Z 2022-11-23T01:37:54.7514979Z 2022-11-23T01:37:54.7515240Z [2022-11-23 01:31:50,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2304 2022-11-23T01:37:54.7515460Z [2022-11-23 01:31:50,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.7515786Z [2022-11-23 01:31:50,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _embedding_bag [TorchVariable()] 2022-11-23T01:37:54.7516086Z [2022-11-23 01:31:50,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST w [TorchVariable(aten._embedding_bag)] 2022-11-23T01:37:54.7516383Z [2022-11-23 01:31:50,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [TorchVariable(aten._embedding_bag), TensorVariable()] 2022-11-23T01:37:54.7516707Z [2022-11-23 01:31:50,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST o [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7517067Z [2022-11-23 01:31:50,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7517464Z [2022-11-23 01:31:50,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool)] 2022-11-23T01:37:54.7517905Z [2022-11-23 01:31:50,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), ConstantVariable(int)] 2022-11-23T01:37:54.7518388Z [2022-11-23 01:31:50,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), ConstantVariable(int), ConstantVariable(bool)] 2022-11-23T01:37:54.7518912Z [2022-11-23 01:31:50,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 7 [TorchVariable(aten._embedding_bag), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(bool), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(NoneType)] 2022-11-23T01:37:54.7519159Z [2022-11-23 01:31:50,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7519479Z [2022-11-23 01:31:50,567] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.7519725Z [2022-11-23 01:31:50,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7519963Z [2022-11-23 01:31:50,567] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.7520217Z [2022-11-23 01:31:50,569] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.7520471Z [2022-11-23 01:31:50,573] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.7520662Z [2022-11-23 01:31:50,573] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.7520797Z __compiled_fn_168 .1467 opcode, name, target, args, kwargs 2022-11-23T01:37:54.7520885Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.7520971Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.7521045Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:37:54.7521207Z call_function, _embedding_bag, aten._embedding_bag, (ex_0_, ex_1_, ex_2_, False, 0, False, None), {} 2022-11-23T01:37:54.7521414Z call_function, getitem, , (_embedding_bag, 0), {} 2022-11-23T01:37:54.7521658Z call_function, getitem_1, , (_embedding_bag, 1), {} 2022-11-23T01:37:54.7521866Z call_function, getitem_2, , (_embedding_bag, 2), {} 2022-11-23T01:37:54.7522072Z call_function, getitem_3, , (_embedding_bag, 3), {} 2022-11-23T01:37:54.7522208Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3),), {} 2022-11-23T01:37:54.7522213Z 2022-11-23T01:37:54.7522495Z [2022-11-23 01:31:50,574] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7522576Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.7522696Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7522791Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.7522877Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.7522952Z 8 RETURN_VALUE 2022-11-23T01:37:54.7522957Z 2022-11-23T01:37:54.7523018Z 2022-11-23T01:37:54.7523297Z [2022-11-23 01:31:50,574] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7523403Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_168) 2022-11-23T01:37:54.7523481Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7523571Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7523646Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.7523734Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7523820Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7523895Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.7523981Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7524053Z 16 LOAD_CONST 3 (2) 2022-11-23T01:37:54.7524125Z 18 BINARY_SUBSCR 2022-11-23T01:37:54.7524211Z 20 CALL_FUNCTION 3 2022-11-23T01:37:54.7524313Z 22 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7524417Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7524503Z 26 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7524577Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.7524664Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7524749Z 32 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7524822Z 34 BINARY_SUBSCR 2022-11-23T01:37:54.7524921Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7525005Z 38 LOAD_CONST 3 (2) 2022-11-23T01:37:54.7525077Z 40 BINARY_SUBSCR 2022-11-23T01:37:54.7525177Z 42 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7525251Z 44 LOAD_CONST 4 (3) 2022-11-23T01:37:54.7525324Z 46 BINARY_SUBSCR 2022-11-23T01:37:54.7525409Z 48 BUILD_TUPLE 4 2022-11-23T01:37:54.7525482Z 50 RETURN_VALUE 2022-11-23T01:37:54.7525487Z 2022-11-23T01:37:54.7525547Z 2022-11-23T01:37:54.7525734Z [2022-11-23 01:31:50,575] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.7525806Z - 2022-11-23T01:37:54.7525917Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.7525980Z { 2022-11-23T01:37:54.7526121Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.7526309Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 3'], 2022-11-23T01:37:54.7526430Z 'obj_weakref': None 2022-11-23T01:37:54.7526656Z 'guarded_class': 2022-11-23T01:37:54.7526721Z } 2022-11-23T01:37:54.7526770Z 2022-11-23T01:37:54.7526842Z - 2022-11-23T01:37:54.7526969Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.7527032Z { 2022-11-23T01:37:54.7527176Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7527286Z 'code': None, 2022-11-23T01:37:54.7527531Z 'obj_weakref': 2022-11-23T01:37:54.7527779Z 'guarded_class': 2022-11-23T01:37:54.7527841Z } 2022-11-23T01:37:54.7527906Z 2022-11-23T01:37:54.7527974Z - 2022-11-23T01:37:54.7528100Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.7528161Z { 2022-11-23T01:37:54.7528306Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7528401Z 'code': None, 2022-11-23T01:37:54.7528663Z 'obj_weakref': 2022-11-23T01:37:54.7528919Z 'guarded_class': 2022-11-23T01:37:54.7528981Z } 2022-11-23T01:37:54.7529043Z 2022-11-23T01:37:54.7529111Z - 2022-11-23T01:37:54.7529239Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:37:54.7529290Z { 2022-11-23T01:37:54.7529432Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7529536Z 'code': None, 2022-11-23T01:37:54.7529750Z 'obj_weakref': 2022-11-23T01:37:54.7530003Z 'guarded_class': 2022-11-23T01:37:54.7530065Z } 2022-11-23T01:37:54.7530127Z 2022-11-23T01:37:54.7530184Z - 2022-11-23T01:37:54.7530318Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.7530379Z { 2022-11-23T01:37:54.7530513Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.7530685Z 'code': ['___check_obj_id(model, 140538739070448)'], 2022-11-23T01:37:54.7530810Z 'obj_weakref': None 2022-11-23T01:37:54.7531046Z 'guarded_class': 2022-11-23T01:37:54.7531097Z } 2022-11-23T01:37:54.7531157Z 2022-11-23T01:37:54.7531226Z - 2022-11-23T01:37:54.7531347Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.7531408Z { 2022-11-23T01:37:54.7531545Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.7531764Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.7531872Z 'obj_weakref': None 2022-11-23T01:37:54.7532095Z 'guarded_class': 2022-11-23T01:37:54.7532159Z } 2022-11-23T01:37:54.7532219Z 2022-11-23T01:37:54.7532287Z - 2022-11-23T01:37:54.7532417Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.7532479Z { 2022-11-23T01:37:54.7532585Z 'guard_types': None, 2022-11-23T01:37:54.7532694Z 'code': None, 2022-11-23T01:37:54.7532812Z 'obj_weakref': None 2022-11-23T01:37:54.7532934Z 'guarded_class': None 2022-11-23T01:37:54.7532997Z } 2022-11-23T01:37:54.7533061Z 2022-11-23T01:37:54.7533325Z [2022-11-23 01:31:50,583] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 167 2022-11-23T01:37:54.7533548Z [2022-11-23 01:31:50,586] torch._inductor.ir: [WARNING] Using FallbackKernel: aten._embedding_bag 2022-11-23T01:37:54.7533924Z [2022-11-23 01:31:50,588] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i5/ci5acztwicuxzag22xkote3ktqanke7teylb5er5jz3r5t5ybjuf.py 2022-11-23T01:37:54.7534188Z [2022-11-23 01:31:50,589] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 167 2022-11-23T01:37:54.7534194Z 2022-11-23T01:37:54.7534285Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.7534351Z import torch 2022-11-23T01:37:54.7534420Z import random 2022-11-23T01:37:54.7534561Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.7534683Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.7534688Z 2022-11-23T01:37:54.7534751Z aten = torch.ops.aten 2022-11-23T01:37:54.7534884Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.7534974Z async_compile = AsyncCompile() 2022-11-23T01:37:54.7534979Z 2022-11-23T01:37:54.7534983Z 2022-11-23T01:37:54.7535069Z async_compile.wait(globals()) 2022-11-23T01:37:54.7535139Z del async_compile 2022-11-23T01:37:54.7535144Z 2022-11-23T01:37:54.7535212Z def call(args): 2022-11-23T01:37:54.7535324Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:54.7535394Z args.clear() 2022-11-23T01:37:54.7535488Z buf0 = aten._embedding_bag(arg0_1, arg1_1, arg2_1) 2022-11-23T01:37:54.7535553Z del arg0_1 2022-11-23T01:37:54.7535619Z del arg1_1 2022-11-23T01:37:54.7535683Z del arg2_1 2022-11-23T01:37:54.7535749Z buf1 = buf0[0] 2022-11-23T01:37:54.7535845Z assert_size_stride(buf1, (3, 4), (4, 1)) 2022-11-23T01:37:54.7535911Z buf2 = buf0[1] 2022-11-23T01:37:54.7535991Z assert_size_stride(buf2, (0, ), (1, )) 2022-11-23T01:37:54.7536056Z buf3 = buf0[2] 2022-11-23T01:37:54.7536146Z assert_size_stride(buf3, (3, ), (1, )) 2022-11-23T01:37:54.7536212Z buf4 = buf0[3] 2022-11-23T01:37:54.7536300Z assert_size_stride(buf4, (3, ), (1, )) 2022-11-23T01:37:54.7536363Z del buf0 2022-11-23T01:37:54.7536450Z return (buf1, buf2, buf3, buf4, ) 2022-11-23T01:37:54.7536455Z 2022-11-23T01:37:54.7536459Z 2022-11-23T01:37:54.7536520Z if __name__ == "__main__": 2022-11-23T01:37:54.7536633Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.7536753Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.7536959Z arg0_1 = rand_strided((10, 4), (4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7537153Z arg1_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7537347Z arg2_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7537468Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:54.7537473Z 2022-11-23T01:37:54.7537538Z ok (0.038s) 2022-11-23T01:37:54.7537841Z test_embedding_cpu (__main__.CpuTests) ... [2022-11-23 01:31:50,593] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.7538112Z [2022-11-23 01:31:50,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.7538332Z [2022-11-23 01:31:50,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.7538581Z [2022-11-23 01:31:50,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.7539065Z [2022-11-23 01:31:50,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.7539399Z [2022-11-23 01:31:50,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.7539733Z [2022-11-23 01:31:50,597] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.7539825Z 170 0 LOAD_FAST 1 (x) 2022-11-23T01:37:54.7539914Z 2 BUILD_TUPLE 1 2022-11-23T01:37:54.7539977Z 4 RETURN_VALUE 2022-11-23T01:37:54.7540044Z 2022-11-23T01:37:54.7540050Z 2022-11-23T01:37:54.7540318Z [2022-11-23 01:31:50,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:170 2022-11-23T01:37:54.7540532Z [2022-11-23 01:31:50,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.7540777Z [2022-11-23 01:31:50,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:54.7541078Z [2022-11-23 01:31:50,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7541419Z [2022-11-23 01:31:50,598] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.7541668Z [2022-11-23 01:31:50,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7541903Z [2022-11-23 01:31:50,598] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.7542146Z [2022-11-23 01:31:50,599] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.7542445Z [2022-11-23 01:31:50,603] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.7542634Z [2022-11-23 01:31:50,604] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.7542769Z __compiled_fn_169 .1473 opcode, name, target, args, kwargs 2022-11-23T01:37:54.7542860Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.7542963Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.7543064Z call_module, model_1, model_1, (model_0,), {} 2022-11-23T01:37:54.7543162Z output, output, output, ((model_1,),), {} 2022-11-23T01:37:54.7543167Z 2022-11-23T01:37:54.7543433Z [2022-11-23 01:31:50,604] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7543526Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.7543617Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7543710Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.7543796Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.7543871Z 8 RETURN_VALUE 2022-11-23T01:37:54.7543876Z 2022-11-23T01:37:54.7543935Z 2022-11-23T01:37:54.7544211Z [2022-11-23 01:31:50,604] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7544307Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_169) 2022-11-23T01:37:54.7544395Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7544483Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7544558Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.7544642Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.7544744Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7544843Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7544921Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7544994Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.7545080Z 18 BUILD_TUPLE 1 2022-11-23T01:37:54.7545153Z 20 RETURN_VALUE 2022-11-23T01:37:54.7545158Z 2022-11-23T01:37:54.7545215Z 2022-11-23T01:37:54.7545405Z [2022-11-23 01:31:50,605] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.7545477Z - 2022-11-23T01:37:54.7545584Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.7545646Z { 2022-11-23T01:37:54.7545788Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.7545977Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.7546100Z 'obj_weakref': None 2022-11-23T01:37:54.7546326Z 'guarded_class': 2022-11-23T01:37:54.7546388Z } 2022-11-23T01:37:54.7546439Z 2022-11-23T01:37:54.7546511Z - 2022-11-23T01:37:54.7546637Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.7546698Z { 2022-11-23T01:37:54.7546841Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7546949Z 'code': None, 2022-11-23T01:37:54.7547193Z 'obj_weakref': 2022-11-23T01:37:54.7547438Z 'guarded_class': 2022-11-23T01:37:54.7547499Z } 2022-11-23T01:37:54.7547560Z 2022-11-23T01:37:54.7547631Z - 2022-11-23T01:37:54.7547751Z local 'model' NN_MODULE 2022-11-23T01:37:54.7547813Z { 2022-11-23T01:37:54.7547948Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.7548188Z 'code': ['___check_obj_id(model, 140539072818960)'], 2022-11-23T01:37:54.7548422Z 'obj_weakref': 2022-11-23T01:37:54.7548702Z 'guarded_class': 2022-11-23T01:37:54.7548766Z } 2022-11-23T01:37:54.7548829Z 2022-11-23T01:37:54.7548900Z - 2022-11-23T01:37:54.7549026Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.7549078Z { 2022-11-23T01:37:54.7549216Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.7549437Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.7549559Z 'obj_weakref': None 2022-11-23T01:37:54.7549784Z 'guarded_class': 2022-11-23T01:37:54.7549849Z } 2022-11-23T01:37:54.7549912Z 2022-11-23T01:37:54.7549969Z - 2022-11-23T01:37:54.7550118Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.7550188Z { 2022-11-23T01:37:54.7550311Z 'guard_types': None, 2022-11-23T01:37:54.7550422Z 'code': None, 2022-11-23T01:37:54.7550543Z 'obj_weakref': None 2022-11-23T01:37:54.7550668Z 'guarded_class': None 2022-11-23T01:37:54.7550719Z } 2022-11-23T01:37:54.7550782Z 2022-11-23T01:37:54.7550852Z - 2022-11-23T01:37:54.7551002Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.7551065Z { 2022-11-23T01:37:54.7551187Z 'guard_types': None, 2022-11-23T01:37:54.7551292Z 'code': None, 2022-11-23T01:37:54.7557410Z 'obj_weakref': None 2022-11-23T01:37:54.7557587Z 'guarded_class': None 2022-11-23T01:37:54.7557641Z } 2022-11-23T01:37:54.7557701Z 2022-11-23T01:37:54.7557772Z - 2022-11-23T01:37:54.7557925Z local_nn_module 'model[2]' NN_MODULE 2022-11-23T01:37:54.7557989Z { 2022-11-23T01:37:54.7558120Z 'guard_types': None, 2022-11-23T01:37:54.7558229Z 'code': None, 2022-11-23T01:37:54.7558336Z 'obj_weakref': None 2022-11-23T01:37:54.7558459Z 'guarded_class': None 2022-11-23T01:37:54.7558520Z } 2022-11-23T01:37:54.7558581Z 2022-11-23T01:37:54.7558855Z [2022-11-23 01:31:50,644] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 168 2022-11-23T01:37:54.7559236Z [2022-11-23 01:31:52,068] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yi/cyiafvmqlzrtsm4idwknybhi6vzeczxchde36glpneow5ceaigg6.py 2022-11-23T01:37:54.7559507Z [2022-11-23 01:31:52,069] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 168 2022-11-23T01:37:54.7559515Z 2022-11-23T01:37:54.7559607Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.7559663Z import torch 2022-11-23T01:37:54.7559730Z import random 2022-11-23T01:37:54.7559844Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.7559968Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.7559974Z 2022-11-23T01:37:54.7560051Z aten = torch.ops.aten 2022-11-23T01:37:54.7560184Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.7560275Z async_compile = AsyncCompile() 2022-11-23T01:37:54.7560280Z 2022-11-23T01:37:54.7560350Z 2022-11-23T01:37:54.7560492Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.7560685Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.7560804Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:37:54.7560908Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.7561009Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.7561105Z bool* __restrict__ out_ptr1, 2022-11-23T01:37:54.7561197Z long* __restrict__ out_ptr2) 2022-11-23T01:37:54.7561294Z { 2022-11-23T01:37:54.7561361Z #pragma GCC ivdep 2022-11-23T01:37:54.7561441Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:37:54.7561498Z { 2022-11-23T01:37:54.7561574Z #pragma GCC ivdep 2022-11-23T01:37:54.7561657Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:37:54.7561720Z { 2022-11-23T01:37:54.7561780Z { 2022-11-23T01:37:54.7561833Z { 2022-11-23T01:37:54.7561927Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.7562028Z auto tmp1 = in_ptr1[i1 + (4*tmp0)]; 2022-11-23T01:37:54.7562120Z auto tmp2 = tmp1 * (tmp1>0); 2022-11-23T01:37:54.7562211Z out_ptr0[i1 + (4*i0)] = tmp2; 2022-11-23T01:37:54.7562276Z } 2022-11-23T01:37:54.7562325Z } 2022-11-23T01:37:54.7562387Z } 2022-11-23T01:37:54.7562447Z } 2022-11-23T01:37:54.7562520Z #pragma GCC ivdep 2022-11-23T01:37:54.7562598Z for(long i0=0; i0<64; i0+=1) 2022-11-23T01:37:54.7562659Z { 2022-11-23T01:37:54.7562719Z { 2022-11-23T01:37:54.7562768Z { 2022-11-23T01:37:54.7562858Z auto tmp0 = out_ptr0[i0]; 2022-11-23T01:37:54.7562954Z auto tmp1 = static_cast(0); 2022-11-23T01:37:54.7563040Z auto tmp2 = tmp0 <= tmp1; 2022-11-23T01:37:54.7563119Z out_ptr1[i0] = tmp2; 2022-11-23T01:37:54.7563181Z } 2022-11-23T01:37:54.7563242Z } 2022-11-23T01:37:54.7563289Z } 2022-11-23T01:37:54.7563360Z #pragma GCC ivdep 2022-11-23T01:37:54.7563437Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:37:54.7563496Z { 2022-11-23T01:37:54.7563555Z { 2022-11-23T01:37:54.7563616Z { 2022-11-23T01:37:54.7563690Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.7563793Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:37:54.7563893Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:37:54.7563972Z out_ptr2[i0] = tmp2; 2022-11-23T01:37:54.7564037Z } 2022-11-23T01:37:54.7564096Z } 2022-11-23T01:37:54.7564155Z } 2022-11-23T01:37:54.7564201Z } 2022-11-23T01:37:54.7564280Z ''') 2022-11-23T01:37:54.7564286Z 2022-11-23T01:37:54.7564290Z 2022-11-23T01:37:54.7564378Z async_compile.wait(globals()) 2022-11-23T01:37:54.7564450Z del async_compile 2022-11-23T01:37:54.7564455Z 2022-11-23T01:37:54.7564524Z def call(args): 2022-11-23T01:37:54.7564609Z primals_1, primals_2 = args 2022-11-23T01:37:54.7564678Z args.clear() 2022-11-23T01:37:54.7564871Z buf0 = empty_strided((2, 8, 4), (32, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7565068Z buf1 = empty_strided((2, 8, 4), (32, 4, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.7565258Z buf2 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7565479Z kernel_cpp_0(c_void_p(primals_2.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:37:54.7565556Z del primals_1 2022-11-23T01:37:54.7565626Z del primals_2 2022-11-23T01:37:54.7565705Z return (buf0, buf1, buf2, ) 2022-11-23T01:37:54.7565710Z 2022-11-23T01:37:54.7565714Z 2022-11-23T01:37:54.7565788Z if __name__ == "__main__": 2022-11-23T01:37:54.7565900Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.7566041Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.7566251Z primals_1 = rand_strided((10, 4), (4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7566453Z primals_2 = rand_strided((2, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7566579Z print_performance(lambda: call([primals_1, primals_2])) 2022-11-23T01:37:54.7566585Z 2022-11-23T01:37:54.7566651Z ok (1.481s) 2022-11-23T01:37:54.7566950Z test_exp_cpu (__main__.CpuTests) ... [2022-11-23 01:31:52,076] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.7567258Z [2022-11-23 01:31:52,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.7567479Z [2022-11-23 01:31:52,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.7567728Z [2022-11-23 01:31:52,077] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.7568017Z [2022-11-23 01:31:52,077] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.7568341Z [2022-11-23 01:31:52,077] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.7568673Z [2022-11-23 01:31:52,077] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.7568770Z 1001 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.7568866Z 2 LOAD_METHOD 1 (exp) 2022-11-23T01:37:54.7568956Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7569045Z 6 CALL_METHOD 1 2022-11-23T01:37:54.7569136Z 8 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.7569215Z 10 LOAD_METHOD 1 (exp) 2022-11-23T01:37:54.7569304Z 12 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7569393Z 14 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7569465Z 16 BINARY_ADD 2022-11-23T01:37:54.7569552Z 18 CALL_METHOD 1 2022-11-23T01:37:54.7569640Z 20 BUILD_TUPLE 2 2022-11-23T01:37:54.7569713Z 22 RETURN_VALUE 2022-11-23T01:37:54.7569761Z 2022-11-23T01:37:54.7569766Z 2022-11-23T01:37:54.7570036Z [2022-11-23 01:31:52,077] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1001 2022-11-23T01:37:54.7570258Z [2022-11-23 01:31:52,077] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.7570629Z [2022-11-23 01:31:52,077] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR exp [TorchVariable()] 2022-11-23T01:37:54.7570952Z [2022-11-23 01:31:52,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:54.7571306Z [2022-11-23 01:31:52,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.7571556Z [2022-11-23 01:31:52,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:37:54.7571951Z [2022-11-23 01:31:52,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR exp [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.7572302Z [2022-11-23 01:31:52,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.7572822Z [2022-11-23 01:31:52,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.7573276Z [2022-11-23 01:31:52,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7573644Z [2022-11-23 01:31:52,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.7573915Z [2022-11-23 01:31:52,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7574204Z [2022-11-23 01:31:52,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7574540Z [2022-11-23 01:31:52,081] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.7574789Z [2022-11-23 01:31:52,081] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7575025Z [2022-11-23 01:31:52,081] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.7575283Z [2022-11-23 01:31:52,083] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.7575535Z [2022-11-23 01:31:52,087] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.7575725Z [2022-11-23 01:31:52,087] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.7575859Z __compiled_fn_170 .1484 opcode, name, target, args, kwargs 2022-11-23T01:37:54.7575937Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.7576020Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.7576244Z call_function, exp, , (ex_0_,), {} 2022-11-23T01:37:54.7576429Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.7576650Z call_function, exp_1, , (add,), {} 2022-11-23T01:37:54.7576752Z output, output, output, ((exp, exp_1),), {} 2022-11-23T01:37:54.7576758Z 2022-11-23T01:37:54.7577039Z [2022-11-23 01:31:52,088] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7577132Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.7577209Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7577303Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.7577392Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.7577467Z 8 RETURN_VALUE 2022-11-23T01:37:54.7577472Z 2022-11-23T01:37:54.7577530Z 2022-11-23T01:37:54.7577807Z [2022-11-23 01:31:52,088] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7577917Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_170) 2022-11-23T01:37:54.7577994Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7578082Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7578155Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.7578241Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7578326Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7578398Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.7578485Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.7578576Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7578678Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7578937Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7579044Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.7579149Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7579304Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7579377Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.7579452Z 30 BUILD_TUPLE 2 2022-11-23T01:37:54.7579527Z 32 RETURN_VALUE 2022-11-23T01:37:54.7579532Z 2022-11-23T01:37:54.7579589Z 2022-11-23T01:37:54.7579777Z [2022-11-23 01:31:52,089] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.7579851Z - 2022-11-23T01:37:54.7579969Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.7580032Z { 2022-11-23T01:37:54.7580170Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.7580404Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.7580524Z 'obj_weakref': None 2022-11-23T01:37:54.7580751Z 'guarded_class': 2022-11-23T01:37:54.7580814Z } 2022-11-23T01:37:54.7580877Z 2022-11-23T01:37:54.7580950Z - 2022-11-23T01:37:54.7581075Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.7581126Z { 2022-11-23T01:37:54.7581268Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7581377Z 'code': None, 2022-11-23T01:37:54.7581592Z 'obj_weakref': 2022-11-23T01:37:54.7581849Z 'guarded_class': 2022-11-23T01:37:54.7581912Z } 2022-11-23T01:37:54.7581972Z 2022-11-23T01:37:54.7582031Z - 2022-11-23T01:37:54.7582156Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.7582219Z { 2022-11-23T01:37:54.7582361Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7582469Z 'code': None, 2022-11-23T01:37:54.7582683Z 'obj_weakref': 2022-11-23T01:37:54.7582938Z 'guarded_class': 2022-11-23T01:37:54.7582990Z } 2022-11-23T01:37:54.7583051Z 2022-11-23T01:37:54.7583120Z - 2022-11-23T01:37:54.7583252Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.7583313Z { 2022-11-23T01:37:54.7583451Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.7583621Z 'code': ['___check_obj_id(model, 140538913406416)'], 2022-11-23T01:37:54.7583729Z 'obj_weakref': None 2022-11-23T01:37:54.7583964Z 'guarded_class': 2022-11-23T01:37:54.7584026Z } 2022-11-23T01:37:54.7584088Z 2022-11-23T01:37:54.7584157Z - 2022-11-23T01:37:54.7584281Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.7584342Z { 2022-11-23T01:37:54.7584469Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.7584688Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.7584809Z 'obj_weakref': None 2022-11-23T01:37:54.7585028Z 'guarded_class': 2022-11-23T01:37:54.7585091Z } 2022-11-23T01:37:54.7585152Z 2022-11-23T01:37:54.7585220Z - 2022-11-23T01:37:54.7585341Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.7585404Z { 2022-11-23T01:37:54.7585524Z 'guard_types': None, 2022-11-23T01:37:54.7585635Z 'code': None, 2022-11-23T01:37:54.7585754Z 'obj_weakref': None 2022-11-23T01:37:54.7585874Z 'guarded_class': None 2022-11-23T01:37:54.7585923Z } 2022-11-23T01:37:54.7585984Z 2022-11-23T01:37:54.7586274Z [2022-11-23 01:31:52,096] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 169 2022-11-23T01:37:54.7586653Z [2022-11-23 01:31:53,557] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ci/ccirniawhzyb533d3jvn7ftmftfd5nb2cnlo2p5hxye3hrok7nke.py 2022-11-23T01:37:54.7586919Z [2022-11-23 01:31:53,558] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 169 2022-11-23T01:37:54.7586925Z 2022-11-23T01:37:54.7587020Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.7587089Z import torch 2022-11-23T01:37:54.7587157Z import random 2022-11-23T01:37:54.7587259Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.7587410Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.7587415Z 2022-11-23T01:37:54.7587492Z aten = torch.ops.aten 2022-11-23T01:37:54.7587618Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.7587719Z async_compile = AsyncCompile() 2022-11-23T01:37:54.7587724Z 2022-11-23T01:37:54.7587728Z 2022-11-23T01:37:54.7587867Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.7588064Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.7588270Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.7588382Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.7588483Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.7588579Z float* __restrict__ out_ptr1) 2022-11-23T01:37:54.7588639Z { 2022-11-23T01:37:54.7588720Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:54.7588770Z { 2022-11-23T01:37:54.7588914Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:54.7589044Z auto tmp2 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:54.7589125Z auto tmp1 = tmp0.exp(); 2022-11-23T01:37:54.7589208Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:37:54.7589287Z auto tmp4 = tmp3.exp(); 2022-11-23T01:37:54.7589376Z tmp1.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.7589449Z tmp4.store(out_ptr1 + 8*i0); 2022-11-23T01:37:54.7589511Z } 2022-11-23T01:37:54.7589598Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.7589679Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:37:54.7589740Z { 2022-11-23T01:37:54.7589820Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.7589899Z auto tmp2 = in_ptr1[i0]; 2022-11-23T01:37:54.7589975Z auto tmp1 = std::exp(tmp0); 2022-11-23T01:37:54.7590056Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:37:54.7590140Z auto tmp4 = std::exp(tmp3); 2022-11-23T01:37:54.7590219Z out_ptr0[i0] = tmp1; 2022-11-23T01:37:54.7590293Z out_ptr1[i0] = tmp4; 2022-11-23T01:37:54.7590356Z } 2022-11-23T01:37:54.7590416Z } 2022-11-23T01:37:54.7590490Z ''') 2022-11-23T01:37:54.7590495Z 2022-11-23T01:37:54.7590499Z 2022-11-23T01:37:54.7590591Z async_compile.wait(globals()) 2022-11-23T01:37:54.7590664Z del async_compile 2022-11-23T01:37:54.7590671Z 2022-11-23T01:37:54.7590743Z def call(args): 2022-11-23T01:37:54.7590820Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.7590891Z args.clear() 2022-11-23T01:37:54.7591093Z buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7591279Z buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7591473Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:54.7591542Z del arg0_1 2022-11-23T01:37:54.7591610Z del arg1_1 2022-11-23T01:37:54.7591690Z return (buf0, buf1, ) 2022-11-23T01:37:54.7591695Z 2022-11-23T01:37:54.7591700Z 2022-11-23T01:37:54.7591776Z if __name__ == "__main__": 2022-11-23T01:37:54.7591894Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.7592017Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.7592238Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7592439Z arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7592555Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.7592561Z 2022-11-23T01:37:54.7592628Z ok (1.489s) 2022-11-23T01:37:54.7592942Z test_expand_as_cpu (__main__.CpuTests) ... [2022-11-23 01:31:53,566] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.7593218Z [2022-11-23 01:31:53,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.7593474Z [2022-11-23 01:31:53,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.7593732Z [2022-11-23 01:31:53,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.7594024Z [2022-11-23 01:31:53,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.7594339Z [2022-11-23 01:31:53,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.7594674Z [2022-11-23 01:31:53,567] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.7594770Z 3437 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.7594871Z 2 LOAD_METHOD 1 (expand_as) 2022-11-23T01:37:54.7594963Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7595054Z 6 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7595143Z 8 CALL_METHOD 2 2022-11-23T01:37:54.7595234Z 10 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.7595319Z 12 LOAD_METHOD 1 (expand_as) 2022-11-23T01:37:54.7595408Z 14 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7595498Z 16 LOAD_CONST 1 (1) 2022-11-23T01:37:54.7595575Z 18 BINARY_ADD 2022-11-23T01:37:54.7595662Z 20 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7595748Z 22 LOAD_CONST 1 (1) 2022-11-23T01:37:54.7595819Z 24 BINARY_ADD 2022-11-23T01:37:54.7595894Z 26 CALL_METHOD 2 2022-11-23T01:37:54.7595979Z 28 LOAD_CONST 1 (1) 2022-11-23T01:37:54.7596051Z 30 BINARY_ADD 2022-11-23T01:37:54.7596140Z 32 BUILD_TUPLE 2 2022-11-23T01:37:54.7596219Z 34 RETURN_VALUE 2022-11-23T01:37:54.7596282Z 2022-11-23T01:37:54.7596287Z 2022-11-23T01:37:54.7596562Z [2022-11-23 01:31:53,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3437 2022-11-23T01:37:54.7596783Z [2022-11-23 01:31:53,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.7597089Z [2022-11-23 01:31:53,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand_as [TorchVariable()] 2022-11-23T01:37:54.7597352Z [2022-11-23 01:31:53,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.expand_as)] 2022-11-23T01:37:54.7597637Z [2022-11-23 01:31:53,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.expand_as), TensorVariable()] 2022-11-23T01:37:54.7597957Z [2022-11-23 01:31:53,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.expand_as), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7598211Z [2022-11-23 01:31:53,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:54.7598557Z [2022-11-23 01:31:53,580] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand_as [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.7598878Z [2022-11-23 01:31:53,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.expand_as)] 2022-11-23T01:37:54.7599200Z [2022-11-23 01:31:53,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable()] 2022-11-23T01:37:54.7599567Z [2022-11-23 01:31:53,581] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.7599885Z [2022-11-23 01:31:53,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable()] 2022-11-23T01:37:54.7600272Z [2022-11-23 01:31:53,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7600655Z [2022-11-23 01:31:53,582] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.7601006Z [2022-11-23 01:31:53,583] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.expand_as), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7601272Z [2022-11-23 01:31:53,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7601581Z [2022-11-23 01:31:53,584] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.7601852Z [2022-11-23 01:31:53,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7602096Z [2022-11-23 01:31:53,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7602433Z [2022-11-23 01:31:53,585] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.7602678Z [2022-11-23 01:31:53,585] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7602915Z [2022-11-23 01:31:53,585] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.7603171Z [2022-11-23 01:31:53,586] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.7603410Z [2022-11-23 01:31:53,592] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.7603603Z [2022-11-23 01:31:53,592] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.7603737Z __compiled_fn_171 .1490 opcode, name, target, args, kwargs 2022-11-23T01:37:54.7603827Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.7603911Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.7604034Z call_function, expand_as, aten.expand_as, (ex_0_, ex_1_), {} 2022-11-23T01:37:54.7604210Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:54.7604386Z call_function, add_1, , (ex_1_, 1), {} 2022-11-23T01:37:54.7604496Z call_function, expand_as_1, aten.expand_as, (add, add_1), {} 2022-11-23T01:37:54.7604681Z call_function, add_2, , (expand_as_1, 1), {} 2022-11-23T01:37:54.7604789Z output, output, output, ((expand_as, add_2),), {} 2022-11-23T01:37:54.7604795Z 2022-11-23T01:37:54.7605073Z [2022-11-23 01:31:53,592] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7605167Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.7605255Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7605346Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.7605434Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.7605530Z 8 RETURN_VALUE 2022-11-23T01:37:54.7605536Z 2022-11-23T01:37:54.7605595Z 2022-11-23T01:37:54.7605871Z [2022-11-23 01:31:53,593] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7605977Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_171) 2022-11-23T01:37:54.7606065Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7606153Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7606228Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.7606303Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7606427Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7606497Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.7606583Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.7606686Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7606785Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7606874Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7606940Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.7607040Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7607125Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7607199Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.7607286Z 30 BUILD_TUPLE 2 2022-11-23T01:37:54.7607360Z 32 RETURN_VALUE 2022-11-23T01:37:54.7607364Z 2022-11-23T01:37:54.7607425Z 2022-11-23T01:37:54.7607614Z [2022-11-23 01:31:53,593] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.7607676Z - 2022-11-23T01:37:54.7607797Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.7607862Z { 2022-11-23T01:37:54.7608005Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.7608195Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.7608320Z 'obj_weakref': None 2022-11-23T01:37:54.7608544Z 'guarded_class': 2022-11-23T01:37:54.7608597Z } 2022-11-23T01:37:54.7608658Z 2022-11-23T01:37:54.7608729Z - 2022-11-23T01:37:54.7608854Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.7608916Z { 2022-11-23T01:37:54.7609058Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7609155Z 'code': None, 2022-11-23T01:37:54.7609371Z 'obj_weakref': 2022-11-23T01:37:54.7609630Z 'guarded_class': 2022-11-23T01:37:54.7609692Z } 2022-11-23T01:37:54.7609754Z 2022-11-23T01:37:54.7609823Z - 2022-11-23T01:37:54.7609946Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.7609996Z { 2022-11-23T01:37:54.7610139Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7610245Z 'code': None, 2022-11-23T01:37:54.7610457Z 'obj_weakref': 2022-11-23T01:37:54.7610704Z 'guarded_class': 2022-11-23T01:37:54.7610768Z } 2022-11-23T01:37:54.7610827Z 2022-11-23T01:37:54.7610896Z - 2022-11-23T01:37:54.7611017Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.7611078Z { 2022-11-23T01:37:54.7611216Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.7611388Z 'code': ['___check_obj_id(model, 140538743087616)'], 2022-11-23T01:37:54.7611507Z 'obj_weakref': None 2022-11-23T01:37:54.7611736Z 'guarded_class': 2022-11-23T01:37:54.7611798Z } 2022-11-23T01:37:54.7611868Z 2022-11-23T01:37:54.7611941Z - 2022-11-23T01:37:54.7612063Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.7612123Z { 2022-11-23T01:37:54.7612260Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.7612478Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.7612598Z 'obj_weakref': None 2022-11-23T01:37:54.7612806Z 'guarded_class': 2022-11-23T01:37:54.7612868Z } 2022-11-23T01:37:54.7612954Z 2022-11-23T01:37:54.7613024Z - 2022-11-23T01:37:54.7613155Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.7613217Z { 2022-11-23T01:37:54.7613326Z 'guard_types': None, 2022-11-23T01:37:54.7613434Z 'code': None, 2022-11-23T01:37:54.7613551Z 'obj_weakref': None 2022-11-23T01:37:54.7613679Z 'guarded_class': None 2022-11-23T01:37:54.7613742Z } 2022-11-23T01:37:54.7613802Z 2022-11-23T01:37:54.7614063Z [2022-11-23 01:31:53,603] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 170 2022-11-23T01:37:54.7614430Z [2022-11-23 01:31:55,139] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/uy/cuy3734ztfdmfzyrxn7hnryyymngrnvvfl7w5ltdyiaammw54zku.py 2022-11-23T01:37:54.7614683Z [2022-11-23 01:31:55,139] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 170 2022-11-23T01:37:54.7614689Z 2022-11-23T01:37:54.7614787Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.7614855Z import torch 2022-11-23T01:37:54.7614922Z import random 2022-11-23T01:37:54.7615034Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.7615153Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.7615158Z 2022-11-23T01:37:54.7615233Z aten = torch.ops.aten 2022-11-23T01:37:54.7615365Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.7615444Z async_compile = AsyncCompile() 2022-11-23T01:37:54.7615449Z 2022-11-23T01:37:54.7615453Z 2022-11-23T01:37:54.7615589Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.7615792Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.7615912Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.7616010Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.7616069Z { 2022-11-23T01:37:54.7616144Z #pragma GCC ivdep 2022-11-23T01:37:54.7616214Z for(long i0=0; i0<6; i0+=1) 2022-11-23T01:37:54.7616273Z { 2022-11-23T01:37:54.7616349Z #pragma GCC ivdep 2022-11-23T01:37:54.7616430Z for(long i1=0; i1<128; i1+=1) 2022-11-23T01:37:54.7616490Z { 2022-11-23T01:37:54.7616574Z for(long i2=0; i2<12; i2+=1) 2022-11-23T01:37:54.7616636Z { 2022-11-23T01:37:54.7616772Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i2) + (100*i0)); 2022-11-23T01:37:54.7616908Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:54.7616993Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.7617077Z auto tmp3 = tmp2 + tmp1; 2022-11-23T01:37:54.7617188Z tmp3.store(out_ptr0 + (8*i2) + (100*i1) + (12800*i0)); 2022-11-23T01:37:54.7617250Z } 2022-11-23T01:37:54.7617341Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.7617426Z for(long i2=96; i2<100; i2+=1) 2022-11-23T01:37:54.7617480Z { 2022-11-23T01:37:54.7617575Z auto tmp0 = in_ptr0[i2 + (100*i0)]; 2022-11-23T01:37:54.7617672Z auto tmp1 = static_cast(1); 2022-11-23T01:37:54.7617757Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.7617843Z auto tmp3 = tmp2 + tmp1; 2022-11-23T01:37:54.7617964Z out_ptr0[i2 + (100*i1) + (12800*i0)] = tmp3; 2022-11-23T01:37:54.7618026Z } 2022-11-23T01:37:54.7618075Z } 2022-11-23T01:37:54.7618135Z } 2022-11-23T01:37:54.7618194Z } 2022-11-23T01:37:54.7618273Z ''') 2022-11-23T01:37:54.7618279Z 2022-11-23T01:37:54.7618283Z 2022-11-23T01:37:54.7618370Z async_compile.wait(globals()) 2022-11-23T01:37:54.7618441Z del async_compile 2022-11-23T01:37:54.7618446Z 2022-11-23T01:37:54.7618513Z def call(args): 2022-11-23T01:37:54.7618574Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.7618643Z args.clear() 2022-11-23T01:37:54.7619069Z buf0 = empty_strided((6, 128, 100), (12800, 100, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7619264Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.7619373Z return (as_strided(arg0_1, (6, 128, 100), (100, 0, 1)), buf0, ) 2022-11-23T01:37:54.7619378Z 2022-11-23T01:37:54.7619382Z 2022-11-23T01:37:54.7619455Z if __name__ == "__main__": 2022-11-23T01:37:54.7619570Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.7619692Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.7619896Z arg0_1 = rand_strided((6, 1, 100), (100, 100, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7620113Z arg1_1 = rand_strided((6, 128, 100), (12800, 100, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7620227Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.7620232Z 2022-11-23T01:37:54.7620298Z ok (1.586s) 2022-11-23T01:37:54.7620607Z test_expand_cpu (__main__.CpuTests) ... [2022-11-23 01:31:55,151] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.7620885Z [2022-11-23 01:31:55,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.7621106Z [2022-11-23 01:31:55,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.7621365Z [2022-11-23 01:31:55,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.7621643Z [2022-11-23 01:31:55,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.7621975Z [2022-11-23 01:31:55,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.7622303Z [2022-11-23 01:31:55,152] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.7622399Z 1262 0 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7622487Z 2 LOAD_CONST 1 (1) 2022-11-23T01:37:54.7622559Z 4 BINARY_ADD 2022-11-23T01:37:54.7622655Z 6 LOAD_METHOD 0 (expand) 2022-11-23T01:37:54.7622744Z 8 LOAD_CONST 2 (3) 2022-11-23T01:37:54.7622821Z 10 LOAD_CONST 3 (4) 2022-11-23T01:37:54.7622906Z 12 LOAD_CONST 4 (2) 2022-11-23T01:37:54.7622989Z 14 LOAD_CONST 2 (3) 2022-11-23T01:37:54.7623072Z 16 LOAD_CONST 4 (2) 2022-11-23T01:37:54.7623161Z 18 CALL_METHOD 5 2022-11-23T01:37:54.7623246Z 20 LOAD_CONST 4 (2) 2022-11-23T01:37:54.7623318Z 22 BINARY_ADD 2022-11-23T01:37:54.7623323Z 2022-11-23T01:37:54.7623408Z 1263 24 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7623493Z 26 LOAD_METHOD 0 (expand) 2022-11-23T01:37:54.7623576Z 28 LOAD_CONST 4 (2) 2022-11-23T01:37:54.7623660Z 30 LOAD_CONST 1 (1) 2022-11-23T01:37:54.7623742Z 32 LOAD_CONST 4 (2) 2022-11-23T01:37:54.7623826Z 34 LOAD_CONST 2 (3) 2022-11-23T01:37:54.7623942Z 36 LOAD_CONST 4 (2) 2022-11-23T01:37:54.7624031Z 38 CALL_METHOD 5 2022-11-23T01:37:54.7624103Z 40 LOAD_CONST 4 (2) 2022-11-23T01:37:54.7624174Z 42 BINARY_ADD 2022-11-23T01:37:54.7624260Z 44 BUILD_TUPLE 2 2022-11-23T01:37:54.7624265Z 2022-11-23T01:37:54.7624350Z 1264 46 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7624443Z 48 LOAD_METHOD 0 (expand) 2022-11-23T01:37:54.7624530Z 50 LOAD_CONST 4 (2) 2022-11-23T01:37:54.7624672Z 52 LOAD_CONST 5 (-1) 2022-11-23T01:37:54.7624798Z 54 LOAD_CONST 6 (5) 2022-11-23T01:37:54.7624924Z 56 LOAD_CONST 5 (-1) 2022-11-23T01:37:54.7625011Z 58 CALL_METHOD 4 2022-11-23T01:37:54.7625099Z 60 BUILD_TUPLE 2 2022-11-23T01:37:54.7625176Z 62 RETURN_VALUE 2022-11-23T01:37:54.7625237Z 2022-11-23T01:37:54.7625242Z 2022-11-23T01:37:54.7625515Z [2022-11-23 01:31:55,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1262 2022-11-23T01:37:54.7625730Z [2022-11-23 01:31:55,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:54.7625960Z [2022-11-23 01:31:55,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:37:54.7626242Z [2022-11-23 01:31:55,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.7626492Z [2022-11-23 01:31:55,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TensorVariable()] 2022-11-23T01:37:54.7626773Z [2022-11-23 01:31:55,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [GetAttrVariable(TensorVariable(), expand)] 2022-11-23T01:37:54.7627093Z [2022-11-23 01:31:55,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)] 2022-11-23T01:37:54.7627445Z [2022-11-23 01:31:55,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.7627836Z [2022-11-23 01:31:55,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.7628344Z [2022-11-23 01:31:55,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.7628831Z [2022-11-23 01:31:55,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.7629076Z [2022-11-23 01:31:55,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:37:54.7629360Z [2022-11-23 01:31:55,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.7629628Z [2022-11-23 01:31:55,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1263 2022-11-23T01:37:54.7629853Z [2022-11-23 01:31:55,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()] 2022-11-23T01:37:54.7630127Z [2022-11-23 01:31:55,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7630439Z [2022-11-23 01:31:55,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), GetAttrVariable(TensorVariable(), expand)] 2022-11-23T01:37:54.7630816Z [2022-11-23 01:31:55,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)] 2022-11-23T01:37:54.7631202Z [2022-11-23 01:31:55,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.7631625Z [2022-11-23 01:31:55,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.7632084Z [2022-11-23 01:31:55,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.7632616Z [2022-11-23 01:31:55,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.7632883Z [2022-11-23 01:31:55,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7633193Z [2022-11-23 01:31:55,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.7633464Z [2022-11-23 01:31:55,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7633733Z [2022-11-23 01:31:55,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1264 2022-11-23T01:37:54.7633960Z [2022-11-23 01:31:55,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TupleVariable()] 2022-11-23T01:37:54.7634232Z [2022-11-23 01:31:55,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TupleVariable(), TensorVariable()] 2022-11-23T01:37:54.7634536Z [2022-11-23 01:31:55,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TupleVariable(), GetAttrVariable(TensorVariable(), expand)] 2022-11-23T01:37:54.7634884Z [2022-11-23 01:31:55,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TupleVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)] 2022-11-23T01:37:54.7635261Z [2022-11-23 01:31:55,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TupleVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.7635683Z [2022-11-23 01:31:55,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TupleVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.7636154Z [2022-11-23 01:31:55,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TupleVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.7636425Z [2022-11-23 01:31:55,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TupleVariable(), TensorVariable()] 2022-11-23T01:37:54.7636677Z [2022-11-23 01:31:55,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7637013Z [2022-11-23 01:31:55,160] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.7637265Z [2022-11-23 01:31:55,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7637493Z [2022-11-23 01:31:55,160] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.7637753Z [2022-11-23 01:31:55,162] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.7638026Z [2022-11-23 01:31:55,167] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.7638225Z [2022-11-23 01:31:55,167] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.7638362Z __compiled_fn_172 .1496 opcode, name, target, args, kwargs 2022-11-23T01:37:54.7638454Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.7638630Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:54.7638741Z call_method, expand, expand, (add, 3, 4, 2, 3, 2), {} 2022-11-23T01:37:54.7638908Z call_function, add_1, , (expand, 2), {} 2022-11-23T01:37:54.7639047Z call_method, expand_1, expand, (ex_0_, 2, 1, 2, 3, 2), {} 2022-11-23T01:37:54.7639231Z call_function, add_2, , (expand_1, 2), {} 2022-11-23T01:37:54.7639400Z call_method, expand_2, expand, (ex_0_, 2, -1, 5, -1), {} 2022-11-23T01:37:54.7639512Z output, output, output, ((add_1, add_2, expand_2),), {} 2022-11-23T01:37:54.7639518Z 2022-11-23T01:37:54.7639802Z [2022-11-23 01:31:55,168] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7639900Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.7639992Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7640072Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.7640163Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.7640238Z 8 RETURN_VALUE 2022-11-23T01:37:54.7640243Z 2022-11-23T01:37:54.7640305Z 2022-11-23T01:37:54.7640584Z [2022-11-23 01:31:55,168] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7640698Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_172) 2022-11-23T01:37:54.7640789Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7640877Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7640940Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.7641030Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.7641135Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7641236Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7641326Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7641402Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.7641501Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7641577Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7641652Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.7641742Z 24 BUILD_TUPLE 2 2022-11-23T01:37:54.7641841Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7641927Z 28 LOAD_CONST 3 (2) 2022-11-23T01:37:54.7642002Z 30 BINARY_SUBSCR 2022-11-23T01:37:54.7642087Z 32 BUILD_TUPLE 2 2022-11-23T01:37:54.7642148Z 34 RETURN_VALUE 2022-11-23T01:37:54.7642155Z 2022-11-23T01:37:54.7642215Z 2022-11-23T01:37:54.7642403Z [2022-11-23 01:31:55,169] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.7642479Z - 2022-11-23T01:37:54.7642602Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.7642666Z { 2022-11-23T01:37:54.7642808Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.7642986Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.7643111Z 'obj_weakref': None 2022-11-23T01:37:54.7643339Z 'guarded_class': 2022-11-23T01:37:54.7643408Z } 2022-11-23T01:37:54.7643470Z 2022-11-23T01:37:54.7643542Z - 2022-11-23T01:37:54.7643674Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.7643726Z { 2022-11-23T01:37:54.7643870Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7644003Z 'code': None, 2022-11-23T01:37:54.7644229Z 'obj_weakref': 2022-11-23T01:37:54.7644486Z 'guarded_class': 2022-11-23T01:37:54.7644549Z } 2022-11-23T01:37:54.7644610Z 2022-11-23T01:37:54.7644666Z - 2022-11-23T01:37:54.7644797Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.7644860Z { 2022-11-23T01:37:54.7644993Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.7645166Z 'code': ['___check_obj_id(model, 140538913615456)'], 2022-11-23T01:37:54.7645313Z 'obj_weakref': None 2022-11-23T01:37:54.7645542Z 'guarded_class': 2022-11-23T01:37:54.7645593Z } 2022-11-23T01:37:54.7645653Z 2022-11-23T01:37:54.7645722Z - 2022-11-23T01:37:54.7645847Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.7645910Z { 2022-11-23T01:37:54.7646047Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.7646264Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.7646373Z 'obj_weakref': None 2022-11-23T01:37:54.7646594Z 'guarded_class': 2022-11-23T01:37:54.7646659Z } 2022-11-23T01:37:54.7646721Z 2022-11-23T01:37:54.7646981Z [2022-11-23 01:31:55,181] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 171 2022-11-23T01:37:54.7647360Z [2022-11-23 01:31:56,746] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wk/cwkppxokicnvqyt64nuqtav4mnomwcuz2tgncgvo6s7hmof2hvlm.py 2022-11-23T01:37:54.7647629Z [2022-11-23 01:31:56,747] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 171 2022-11-23T01:37:54.7647635Z 2022-11-23T01:37:54.7647729Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.7647785Z import torch 2022-11-23T01:37:54.7647855Z import random 2022-11-23T01:37:54.7647970Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.7648091Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.7648096Z 2022-11-23T01:37:54.7648172Z aten = torch.ops.aten 2022-11-23T01:37:54.7648303Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.7648394Z async_compile = AsyncCompile() 2022-11-23T01:37:54.7648399Z 2022-11-23T01:37:54.7648406Z 2022-11-23T01:37:54.7648543Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.7648735Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.7648853Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.7648952Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.7649048Z float* __restrict__ out_ptr1) 2022-11-23T01:37:54.7649106Z { 2022-11-23T01:37:54.7649179Z #pragma GCC ivdep 2022-11-23T01:37:54.7649257Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:37:54.7649305Z { 2022-11-23T01:37:54.7649380Z #pragma GCC ivdep 2022-11-23T01:37:54.7649461Z for(long i1=0; i1<2; i1+=1) 2022-11-23T01:37:54.7649520Z { 2022-11-23T01:37:54.7649595Z #pragma GCC ivdep 2022-11-23T01:37:54.7649675Z for(long i2=0; i2<3; i2+=1) 2022-11-23T01:37:54.7649736Z { 2022-11-23T01:37:54.7649803Z #pragma GCC ivdep 2022-11-23T01:37:54.7649892Z for(long i3=0; i3<2; i3+=1) 2022-11-23T01:37:54.7649954Z { 2022-11-23T01:37:54.7650018Z { 2022-11-23T01:37:54.7650088Z { 2022-11-23T01:37:54.7650189Z auto tmp0 = in_ptr0[i3 + (2*i1)]; 2022-11-23T01:37:54.7650321Z auto tmp1 = static_cast(1); 2022-11-23T01:37:54.7650406Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.7650512Z auto tmp3 = static_cast(2); 2022-11-23T01:37:54.7650605Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:54.7650711Z out_ptr0[i3 + (2*i2) + (6*i1) + (12*i0)] = tmp4; 2022-11-23T01:37:54.7650777Z } 2022-11-23T01:37:54.7650841Z } 2022-11-23T01:37:54.7650904Z } 2022-11-23T01:37:54.7650955Z } 2022-11-23T01:37:54.7651013Z } 2022-11-23T01:37:54.7651096Z } 2022-11-23T01:37:54.7651167Z #pragma GCC ivdep 2022-11-23T01:37:54.7651244Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:54.7651304Z { 2022-11-23T01:37:54.7651377Z #pragma GCC ivdep 2022-11-23T01:37:54.7651444Z for(long i1=0; i1<2; i1+=1) 2022-11-23T01:37:54.7651505Z { 2022-11-23T01:37:54.7651582Z #pragma GCC ivdep 2022-11-23T01:37:54.7651664Z for(long i2=0; i2<3; i2+=1) 2022-11-23T01:37:54.7651724Z { 2022-11-23T01:37:54.7651803Z #pragma GCC ivdep 2022-11-23T01:37:54.7651880Z for(long i3=0; i3<2; i3+=1) 2022-11-23T01:37:54.7651943Z { 2022-11-23T01:37:54.7652007Z { 2022-11-23T01:37:54.7652072Z { 2022-11-23T01:37:54.7652174Z auto tmp0 = in_ptr0[i3 + (2*i1)]; 2022-11-23T01:37:54.7652278Z auto tmp1 = static_cast(2); 2022-11-23T01:37:54.7652370Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.7652467Z out_ptr1[i3 + (2*i2) + (6*i1) + (12*i0)] = tmp2; 2022-11-23T01:37:54.7652533Z } 2022-11-23T01:37:54.7652595Z } 2022-11-23T01:37:54.7652656Z } 2022-11-23T01:37:54.7652716Z } 2022-11-23T01:37:54.7652777Z } 2022-11-23T01:37:54.7652838Z } 2022-11-23T01:37:54.7652885Z } 2022-11-23T01:37:54.7652966Z ''') 2022-11-23T01:37:54.7652973Z 2022-11-23T01:37:54.7652977Z 2022-11-23T01:37:54.7653063Z async_compile.wait(globals()) 2022-11-23T01:37:54.7653135Z del async_compile 2022-11-23T01:37:54.7653140Z 2022-11-23T01:37:54.7653208Z def call(args): 2022-11-23T01:37:54.7653276Z arg0_1, = args 2022-11-23T01:37:54.7653346Z args.clear() 2022-11-23T01:37:54.7653556Z buf0 = empty_strided((3, 4, 2, 3, 2), (48, 12, 6, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7653774Z buf1 = empty_strided((2, 1, 2, 3, 2), (12, 24, 6, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7653941Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:54.7654056Z return (buf0, buf1, as_strided(arg0_1, (2, 2, 5, 2), (0, 2, 0, 1)), ) 2022-11-23T01:37:54.7654061Z 2022-11-23T01:37:54.7654065Z 2022-11-23T01:37:54.7654138Z if __name__ == "__main__": 2022-11-23T01:37:54.7654251Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.7654373Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.7654576Z arg0_1 = rand_strided((2, 1, 2), (2, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7654681Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.7654688Z 2022-11-23T01:37:54.7654743Z ok (1.603s) 2022-11-23T01:37:54.7655405Z test_expanded_reduction_cpu (__main__.CpuTests) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/87157 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:37:54.7655714Z test_fill1_cpu (__main__.CpuTests) ... [2022-11-23 01:31:56,755] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.7656014Z [2022-11-23 01:31:56,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.7656240Z [2022-11-23 01:31:56,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.7656497Z [2022-11-23 01:31:56,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.7656788Z [2022-11-23 01:31:56,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.7657114Z [2022-11-23 01:31:56,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.7657475Z [2022-11-23 01:31:56,756] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.7657571Z 2491 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.7657660Z 2 LOAD_METHOD 1 (ones_like) 2022-11-23T01:37:54.7657750Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:54.7657838Z 6 CALL_METHOD 1 2022-11-23T01:37:54.7657929Z 8 STORE_FAST 1 (tmp) 2022-11-23T01:37:54.7657934Z 2022-11-23T01:37:54.7658021Z 2492 10 LOAD_FAST 1 (tmp) 2022-11-23T01:37:54.7658109Z 12 LOAD_GLOBAL 2 (aten) 2022-11-23T01:37:54.7658196Z 14 LOAD_ATTR 3 (fill) 2022-11-23T01:37:54.7658289Z 16 LOAD_METHOD 4 (Scalar) 2022-11-23T01:37:54.7658369Z 18 LOAD_FAST 1 (tmp) 2022-11-23T01:37:54.7658456Z 20 LOAD_CONST 1 (2) 2022-11-23T01:37:54.7658541Z 22 CALL_METHOD 2 2022-11-23T01:37:54.7658627Z 24 BUILD_TUPLE 2 2022-11-23T01:37:54.7658700Z 26 RETURN_VALUE 2022-11-23T01:37:54.7658902Z 2022-11-23T01:37:54.7658915Z 2022-11-23T01:37:54.7659241Z [2022-11-23 01:31:56,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2491 2022-11-23T01:37:54.7659465Z [2022-11-23 01:31:56,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.7659831Z [2022-11-23 01:31:56,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ones_like [TorchVariable()] 2022-11-23T01:37:54.7660162Z [2022-11-23 01:31:56,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:37:54.7660527Z [2022-11-23 01:31:56,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.7660779Z [2022-11-23 01:31:56,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp [TensorVariable()] 2022-11-23T01:37:54.7661050Z [2022-11-23 01:31:56,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2492 2022-11-23T01:37:54.7661265Z [2022-11-23 01:31:56,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [] 2022-11-23T01:37:54.7661511Z [2022-11-23 01:31:56,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:54.7661846Z [2022-11-23 01:31:56,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fill [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.7662137Z [2022-11-23 01:31:56,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Scalar [TensorVariable(), TorchVariable(aten.fill)] 2022-11-23T01:37:54.7662438Z [2022-11-23 01:31:56,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TorchVariable(aten.fill.Scalar)] 2022-11-23T01:37:54.7662796Z [2022-11-23 01:31:56,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.fill.Scalar), TensorVariable()] 2022-11-23T01:37:54.7663168Z [2022-11-23 01:31:56,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.fill.Scalar), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.7663438Z [2022-11-23 01:31:56,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7663689Z [2022-11-23 01:31:56,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7664059Z [2022-11-23 01:31:56,765] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.7664305Z [2022-11-23 01:31:56,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7664545Z [2022-11-23 01:31:56,766] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.7664802Z [2022-11-23 01:31:56,767] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.7665056Z [2022-11-23 01:31:56,770] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.7665253Z [2022-11-23 01:31:56,770] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.7665375Z __compiled_fn_173 .1502 opcode, name, target, args, kwargs 2022-11-23T01:37:54.7665465Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.7665713Z call_function, ones_like, , (ex_0_,), {} 2022-11-23T01:37:54.7665850Z call_function, fill_scalar, aten.fill.Scalar, (ones_like, 2), {} 2022-11-23T01:37:54.7665966Z output, output, output, ((ones_like, fill_scalar),), {} 2022-11-23T01:37:54.7665971Z 2022-11-23T01:37:54.7666252Z [2022-11-23 01:31:56,771] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7666345Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.7666435Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7666514Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.7666602Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.7666677Z 8 RETURN_VALUE 2022-11-23T01:37:54.7666682Z 2022-11-23T01:37:54.7666743Z 2022-11-23T01:37:54.7667018Z [2022-11-23 01:31:56,771] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7667128Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_173) 2022-11-23T01:37:54.7667216Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7667304Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7667367Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.7667454Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.7667559Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7667659Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7667746Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7667820Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.7667916Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7667991Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7668063Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.7668223Z 24 BUILD_TUPLE 2 2022-11-23T01:37:54.7668307Z 26 RETURN_VALUE 2022-11-23T01:37:54.7668312Z 2022-11-23T01:37:54.7668369Z 2022-11-23T01:37:54.7668558Z [2022-11-23 01:31:56,771] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.7668629Z - 2022-11-23T01:37:54.7668736Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.7668800Z { 2022-11-23T01:37:54.7668973Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.7669168Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.7669292Z 'obj_weakref': None 2022-11-23T01:37:54.7669520Z 'guarded_class': 2022-11-23T01:37:54.7669584Z } 2022-11-23T01:37:54.7669634Z 2022-11-23T01:37:54.7669702Z - 2022-11-23T01:37:54.7669830Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.7669894Z { 2022-11-23T01:37:54.7670036Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7670184Z 'code': None, 2022-11-23T01:37:54.7670398Z 'obj_weakref': 2022-11-23T01:37:54.7670644Z 'guarded_class': 2022-11-23T01:37:54.7670707Z } 2022-11-23T01:37:54.7670770Z 2022-11-23T01:37:54.7670840Z - 2022-11-23T01:37:54.7670970Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.7671031Z { 2022-11-23T01:37:54.7671164Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.7671324Z 'code': ['___check_obj_id(model, 140538745522944)'], 2022-11-23T01:37:54.7671446Z 'obj_weakref': None 2022-11-23T01:37:54.7671678Z 'guarded_class': 2022-11-23T01:37:54.7671740Z } 2022-11-23T01:37:54.7671800Z 2022-11-23T01:37:54.7671869Z - 2022-11-23T01:37:54.7671989Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.7672040Z { 2022-11-23T01:37:54.7672175Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.7672393Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.7672513Z 'obj_weakref': None 2022-11-23T01:37:54.7672738Z 'guarded_class': 2022-11-23T01:37:54.7672801Z } 2022-11-23T01:37:54.7672861Z 2022-11-23T01:37:54.7672918Z - 2022-11-23T01:37:54.7673051Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.7673115Z { 2022-11-23T01:37:54.7673235Z 'guard_types': None, 2022-11-23T01:37:54.7673341Z 'code': None, 2022-11-23T01:37:54.7673458Z 'obj_weakref': None 2022-11-23T01:37:54.7673577Z 'guarded_class': None 2022-11-23T01:37:54.7673630Z } 2022-11-23T01:37:54.7673690Z 2022-11-23T01:37:54.7673758Z - 2022-11-23T01:37:54.7673892Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.7673955Z { 2022-11-23T01:37:54.7674075Z 'guard_types': None, 2022-11-23T01:37:54.7674169Z 'code': None, 2022-11-23T01:37:54.7674289Z 'obj_weakref': None 2022-11-23T01:37:54.7674409Z 'guarded_class': None 2022-11-23T01:37:54.7674469Z } 2022-11-23T01:37:54.7674529Z 2022-11-23T01:37:54.7674792Z [2022-11-23 01:31:56,778] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 172 2022-11-23T01:37:54.7675164Z [2022-11-23 01:31:58,173] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4k/c4k3x4vostnatnjfdzdz3uou5ooiau7jqdgdgkjyf6263ex2ocuy.py 2022-11-23T01:37:54.7675435Z [2022-11-23 01:31:58,174] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 172 2022-11-23T01:37:54.7675443Z 2022-11-23T01:37:54.7675524Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.7675594Z import torch 2022-11-23T01:37:54.7675663Z import random 2022-11-23T01:37:54.7675779Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.7675902Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.7675907Z 2022-11-23T01:37:54.7676009Z aten = torch.ops.aten 2022-11-23T01:37:54.7676145Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.7676236Z async_compile = AsyncCompile() 2022-11-23T01:37:54.7676242Z 2022-11-23T01:37:54.7676246Z 2022-11-23T01:37:54.7676370Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.7676578Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.7676693Z extern "C" void kernel(float* __restrict__ out_ptr0, 2022-11-23T01:37:54.7676790Z float* __restrict__ out_ptr1) 2022-11-23T01:37:54.7676877Z { 2022-11-23T01:37:54.7676961Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:37:54.7677022Z { 2022-11-23T01:37:54.7677151Z auto tmp0 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:54.7677239Z tmp0.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.7677298Z } 2022-11-23T01:37:54.7677388Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.7677474Z for(long i0=256; i0<256; i0+=1) 2022-11-23T01:37:54.7677535Z { 2022-11-23T01:37:54.7677629Z auto tmp0 = static_cast(1); 2022-11-23T01:37:54.7677695Z out_ptr0[i0] = tmp0; 2022-11-23T01:37:54.7677754Z } 2022-11-23T01:37:54.7677832Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:37:54.7677892Z { 2022-11-23T01:37:54.7678028Z auto tmp0 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:37:54.7678115Z tmp0.store(out_ptr1 + 8*i0); 2022-11-23T01:37:54.7678178Z } 2022-11-23T01:37:54.7678252Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.7678331Z for(long i0=256; i0<256; i0+=1) 2022-11-23T01:37:54.7678396Z { 2022-11-23T01:37:54.7678491Z auto tmp0 = static_cast(2); 2022-11-23T01:37:54.7678569Z out_ptr1[i0] = tmp0; 2022-11-23T01:37:54.7678629Z } 2022-11-23T01:37:54.7678690Z } 2022-11-23T01:37:54.7678759Z ''') 2022-11-23T01:37:54.7678764Z 2022-11-23T01:37:54.7678768Z 2022-11-23T01:37:54.7678862Z async_compile.wait(globals()) 2022-11-23T01:37:54.7678937Z del async_compile 2022-11-23T01:37:54.7678942Z 2022-11-23T01:37:54.7679012Z def call(args): 2022-11-23T01:37:54.7679081Z arg0_1, = args 2022-11-23T01:37:54.7679153Z args.clear() 2022-11-23T01:37:54.7679358Z buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7679546Z buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7679680Z kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:54.7679758Z return (buf0, buf1, ) 2022-11-23T01:37:54.7679765Z 2022-11-23T01:37:54.7679770Z 2022-11-23T01:37:54.7679849Z if __name__ == "__main__": 2022-11-23T01:37:54.7679963Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.7680086Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.7680288Z arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7680396Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.7680402Z 2022-11-23T01:37:54.7680455Z ok (1.425s) 2022-11-23T01:37:54.7680763Z test_fill2_cpu (__main__.CpuTests) ... [2022-11-23 01:31:58,181] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.7681034Z [2022-11-23 01:31:58,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.7681255Z [2022-11-23 01:31:58,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.7681508Z [2022-11-23 01:31:58,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.7681798Z [2022-11-23 01:31:58,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.7682154Z [2022-11-23 01:31:58,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.7682489Z [2022-11-23 01:31:58,181] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.7682584Z 2501 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.7682680Z 2 LOAD_METHOD 1 (ones_like) 2022-11-23T01:37:54.7682758Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:54.7682849Z 6 CALL_METHOD 1 2022-11-23T01:37:54.7682941Z 8 STORE_FAST 1 (tmp) 2022-11-23T01:37:54.7682972Z 2022-11-23T01:37:54.7683066Z 2502 10 LOAD_FAST 1 (tmp) 2022-11-23T01:37:54.7683157Z 12 LOAD_GLOBAL 2 (aten) 2022-11-23T01:37:54.7683247Z 14 LOAD_ATTR 3 (fill) 2022-11-23T01:37:54.7683340Z 16 LOAD_METHOD 4 (Tensor) 2022-11-23T01:37:54.7683417Z 18 LOAD_FAST 1 (tmp) 2022-11-23T01:37:54.7683511Z 20 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.7683603Z 22 LOAD_METHOD 5 (tensor) 2022-11-23T01:37:54.7683685Z 24 LOAD_CONST 1 (3.0) 2022-11-23T01:37:54.7683775Z 26 CALL_METHOD 1 2022-11-23T01:37:54.7683861Z 28 CALL_METHOD 2 2022-11-23T01:37:54.7683944Z 30 BUILD_TUPLE 2 2022-11-23T01:37:54.7684007Z 32 RETURN_VALUE 2022-11-23T01:37:54.7684066Z 2022-11-23T01:37:54.7684071Z 2022-11-23T01:37:54.7684344Z [2022-11-23 01:31:58,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2501 2022-11-23T01:37:54.7684569Z [2022-11-23 01:31:58,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.7684945Z [2022-11-23 01:31:58,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ones_like [TorchVariable()] 2022-11-23T01:37:54.7685270Z [2022-11-23 01:31:58,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:37:54.7685629Z [2022-11-23 01:31:58,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.7685875Z [2022-11-23 01:31:58,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp [TensorVariable()] 2022-11-23T01:37:54.7686144Z [2022-11-23 01:31:58,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2502 2022-11-23T01:37:54.7686362Z [2022-11-23 01:31:58,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [] 2022-11-23T01:37:54.7686597Z [2022-11-23 01:31:58,184] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:54.7686931Z [2022-11-23 01:31:58,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fill [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.7687220Z [2022-11-23 01:31:58,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TensorVariable(), TorchVariable(aten.fill)] 2022-11-23T01:37:54.7687515Z [2022-11-23 01:31:58,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp [TensorVariable(), TorchVariable(aten.fill.Tensor)] 2022-11-23T01:37:54.7687846Z [2022-11-23 01:31:58,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TorchVariable(aten.fill.Tensor), TensorVariable()] 2022-11-23T01:37:54.7688327Z [2022-11-23 01:31:58,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TensorVariable(), TorchVariable(aten.fill.Tensor), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.7688799Z [2022-11-23 01:31:58,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.0 [TensorVariable(), TorchVariable(aten.fill.Tensor), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.7689279Z [2022-11-23 01:31:58,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.fill.Tensor), TensorVariable(), TorchVariable(), ConstantVariable(float)] 2022-11-23T01:37:54.7689635Z [2022-11-23 01:31:58,191] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.fill.Tensor), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7689935Z [2022-11-23 01:31:58,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7690184Z [2022-11-23 01:31:58,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7690518Z [2022-11-23 01:31:58,192] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.7690752Z [2022-11-23 01:31:58,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7690989Z [2022-11-23 01:31:58,192] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.7691242Z [2022-11-23 01:31:58,194] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.7691495Z [2022-11-23 01:31:58,198] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.7691690Z [2022-11-23 01:31:58,198] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.7691826Z __compiled_fn_174 .1508 opcode, name, target, args, kwargs 2022-11-23T01:37:54.7691914Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.7692161Z call_function, ones_like, , (ex_0_,), {} 2022-11-23T01:37:54.7692389Z call_function, tensor, , (3.0,), {} 2022-11-23T01:37:54.7692515Z call_function, fill_tensor, aten.fill.Tensor, (ones_like, tensor), {} 2022-11-23T01:37:54.7692629Z output, output, output, ((ones_like, fill_tensor),), {} 2022-11-23T01:37:54.7692634Z 2022-11-23T01:37:54.7692916Z [2022-11-23 01:31:58,198] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7693009Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.7693100Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7693191Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.7693279Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.7693351Z 8 RETURN_VALUE 2022-11-23T01:37:54.7693356Z 2022-11-23T01:37:54.7693404Z 2022-11-23T01:37:54.7693681Z [2022-11-23 01:31:58,199] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7693788Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_174) 2022-11-23T01:37:54.7693876Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7693964Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7694038Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.7694126Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.7694216Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7694323Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7694457Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7694576Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.7694696Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7694785Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7694899Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.7694976Z 24 BUILD_TUPLE 2 2022-11-23T01:37:54.7695052Z 26 RETURN_VALUE 2022-11-23T01:37:54.7695057Z 2022-11-23T01:37:54.7695114Z 2022-11-23T01:37:54.7695307Z [2022-11-23 01:31:58,199] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.7695377Z - 2022-11-23T01:37:54.7695497Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.7695559Z { 2022-11-23T01:37:54.7695688Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.7695874Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.7696025Z 'obj_weakref': None 2022-11-23T01:37:54.7696254Z 'guarded_class': 2022-11-23T01:37:54.7696319Z } 2022-11-23T01:37:54.7696380Z 2022-11-23T01:37:54.7696448Z - 2022-11-23T01:37:54.7696574Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.7696630Z { 2022-11-23T01:37:54.7696772Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7696881Z 'code': None, 2022-11-23T01:37:54.7697099Z 'obj_weakref': 2022-11-23T01:37:54.7697357Z 'guarded_class': 2022-11-23T01:37:54.7697420Z } 2022-11-23T01:37:54.7697480Z 2022-11-23T01:37:54.7697537Z - 2022-11-23T01:37:54.7697668Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.7697732Z { 2022-11-23T01:37:54.7697867Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.7698038Z 'code': ['___check_obj_id(model, 140539050157408)'], 2022-11-23T01:37:54.7698157Z 'obj_weakref': None 2022-11-23T01:37:54.7698390Z 'guarded_class': 2022-11-23T01:37:54.7698440Z } 2022-11-23T01:37:54.7698499Z 2022-11-23T01:37:54.7698569Z - 2022-11-23T01:37:54.7698691Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.7698892Z { 2022-11-23T01:37:54.7699111Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.7699323Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.7699447Z 'obj_weakref': None 2022-11-23T01:37:54.7699666Z 'guarded_class': 2022-11-23T01:37:54.7699733Z } 2022-11-23T01:37:54.7699794Z 2022-11-23T01:37:54.7699864Z - 2022-11-23T01:37:54.7700000Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.7700050Z { 2022-11-23T01:37:54.7700169Z 'guard_types': None, 2022-11-23T01:37:54.7700276Z 'code': None, 2022-11-23T01:37:54.7700398Z 'obj_weakref': None 2022-11-23T01:37:54.7700523Z 'guarded_class': None 2022-11-23T01:37:54.7700584Z } 2022-11-23T01:37:54.7700643Z 2022-11-23T01:37:54.7700699Z - 2022-11-23T01:37:54.7700831Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.7700892Z { 2022-11-23T01:37:54.7701011Z 'guard_types': None, 2022-11-23T01:37:54.7701119Z 'code': None, 2022-11-23T01:37:54.7701237Z 'obj_weakref': None 2022-11-23T01:37:54.7701361Z 'guarded_class': None 2022-11-23T01:37:54.7701412Z } 2022-11-23T01:37:54.7701474Z 2022-11-23T01:37:54.7701737Z [2022-11-23 01:31:58,207] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 173 2022-11-23T01:37:54.7702110Z [2022-11-23 01:31:59,584] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yo/cyoeekg4ctfukcy66rpozvgr7nc24uipcyhgh7dzwavemjtaiyzj.py 2022-11-23T01:37:54.7702426Z [2022-11-23 01:31:59,585] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 173 2022-11-23T01:37:54.7702434Z 2022-11-23T01:37:54.7702528Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.7702596Z import torch 2022-11-23T01:37:54.7702663Z import random 2022-11-23T01:37:54.7702765Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.7702886Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.7702891Z 2022-11-23T01:37:54.7702967Z aten = torch.ops.aten 2022-11-23T01:37:54.7703100Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.7703227Z async_compile = AsyncCompile() 2022-11-23T01:37:54.7703233Z 2022-11-23T01:37:54.7703237Z 2022-11-23T01:37:54.7703374Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.7703584Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.7703696Z extern "C" void kernel(float* __restrict__ out_ptr0, 2022-11-23T01:37:54.7703783Z float* __restrict__ out_ptr1) 2022-11-23T01:37:54.7703843Z { 2022-11-23T01:37:54.7703924Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:37:54.7703986Z { 2022-11-23T01:37:54.7704126Z auto tmp0 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:54.7704213Z tmp0.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.7704273Z } 2022-11-23T01:37:54.7704347Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.7704427Z for(long i0=256; i0<256; i0+=1) 2022-11-23T01:37:54.7704485Z { 2022-11-23T01:37:54.7704579Z auto tmp0 = static_cast(1); 2022-11-23T01:37:54.7704660Z out_ptr0[i0] = tmp0; 2022-11-23T01:37:54.7704719Z } 2022-11-23T01:37:54.7704784Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:37:54.7704842Z { 2022-11-23T01:37:54.7704974Z auto tmp0 = at::vec::Vectorized(static_cast(3.0)); 2022-11-23T01:37:54.7705059Z tmp0.store(out_ptr1 + 8*i0); 2022-11-23T01:37:54.7705120Z } 2022-11-23T01:37:54.7705204Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.7705285Z for(long i0=256; i0<256; i0+=1) 2022-11-23T01:37:54.7705332Z { 2022-11-23T01:37:54.7705427Z auto tmp0 = static_cast(3.0); 2022-11-23T01:37:54.7705502Z out_ptr1[i0] = tmp0; 2022-11-23T01:37:54.7705561Z } 2022-11-23T01:37:54.7705618Z } 2022-11-23T01:37:54.7705696Z ''') 2022-11-23T01:37:54.7705702Z 2022-11-23T01:37:54.7705706Z 2022-11-23T01:37:54.7705793Z async_compile.wait(globals()) 2022-11-23T01:37:54.7705851Z del async_compile 2022-11-23T01:37:54.7705866Z 2022-11-23T01:37:54.7705926Z def call(args): 2022-11-23T01:37:54.7705994Z arg0_1, = args 2022-11-23T01:37:54.7706063Z args.clear() 2022-11-23T01:37:54.7706266Z buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7706463Z buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7706598Z kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:54.7706673Z return (buf0, buf1, ) 2022-11-23T01:37:54.7706679Z 2022-11-23T01:37:54.7706683Z 2022-11-23T01:37:54.7706744Z if __name__ == "__main__": 2022-11-23T01:37:54.7706855Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.7706976Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.7707177Z arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7707283Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.7707287Z 2022-11-23T01:37:54.7707352Z ok (1.411s) 2022-11-23T01:37:54.7707656Z test_flip_cpu (__main__.CpuTests) ... [2022-11-23 01:31:59,592] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.7707931Z [2022-11-23 01:31:59,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.7708298Z [2022-11-23 01:31:59,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.7708551Z [2022-11-23 01:31:59,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.7708840Z [2022-11-23 01:31:59,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.7709165Z [2022-11-23 01:31:59,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.7709496Z [2022-11-23 01:31:59,592] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.7709626Z 2648 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.7709719Z 2 LOAD_METHOD 1 (flip) 2022-11-23T01:37:54.7709807Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:54.7709954Z 6 LOAD_CONST 1 ((-1,)) 2022-11-23T01:37:54.7710029Z 8 CALL_METHOD 2 2022-11-23T01:37:54.7710124Z 10 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.7710216Z 12 LOAD_METHOD 1 (flip) 2022-11-23T01:37:54.7710304Z 14 LOAD_FAST 0 (x) 2022-11-23T01:37:54.7710394Z 16 LOAD_CONST 2 ((0, 2)) 2022-11-23T01:37:54.7710480Z 18 CALL_METHOD 2 2022-11-23T01:37:54.7710567Z 20 LOAD_CONST 3 (2) 2022-11-23T01:37:54.7710635Z 22 BINARY_SUBTRACT 2022-11-23T01:37:54.7710726Z 24 BUILD_TUPLE 2 2022-11-23T01:37:54.7710800Z 26 RETURN_VALUE 2022-11-23T01:37:54.7710859Z 2022-11-23T01:37:54.7710863Z 2022-11-23T01:37:54.7711139Z [2022-11-23 01:31:59,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2648 2022-11-23T01:37:54.7711363Z [2022-11-23 01:31:59,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.7711732Z [2022-11-23 01:31:59,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR flip [TorchVariable()] 2022-11-23T01:37:54.7712056Z [2022-11-23 01:31:59,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:37:54.7712414Z [2022-11-23 01:31:59,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (-1,) [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.7712810Z [2022-11-23 01:31:59,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), ConstantVariable(tuple)] 2022-11-23T01:37:54.7713051Z [2022-11-23 01:31:59,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:37:54.7713442Z [2022-11-23 01:31:59,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR flip [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.7713789Z [2022-11-23 01:31:59,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.7714174Z [2022-11-23 01:31:59,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (0, 2) [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.7714599Z [2022-11-23 01:31:59,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(tuple)] 2022-11-23T01:37:54.7714895Z [2022-11-23 01:31:59,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7715215Z [2022-11-23 01:31:59,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.7715485Z [2022-11-23 01:31:59,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7715732Z [2022-11-23 01:31:59,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7716063Z [2022-11-23 01:31:59,598] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.7716353Z [2022-11-23 01:31:59,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7716581Z [2022-11-23 01:31:59,598] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.7716839Z [2022-11-23 01:31:59,599] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.7717090Z [2022-11-23 01:31:59,603] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.7717282Z [2022-11-23 01:31:59,603] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.7717414Z __compiled_fn_175 .1514 opcode, name, target, args, kwargs 2022-11-23T01:37:54.7717501Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.7717735Z call_function, flip, , (ex_0_, (-1,)), {} 2022-11-23T01:37:54.7717976Z call_function, flip_1, , (ex_0_, (0, 2)), {} 2022-11-23T01:37:54.7718140Z call_function, sub, , (flip_1, 2), {} 2022-11-23T01:37:54.7718240Z output, output, output, ((flip, sub),), {} 2022-11-23T01:37:54.7718245Z 2022-11-23T01:37:54.7718527Z [2022-11-23 01:31:59,603] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7718618Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.7718709Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7718804Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.7718894Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.7718971Z 8 RETURN_VALUE 2022-11-23T01:37:54.7718976Z 2022-11-23T01:37:54.7719025Z 2022-11-23T01:37:54.7719300Z [2022-11-23 01:31:59,603] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7719412Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_175) 2022-11-23T01:37:54.7719503Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7719593Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7719671Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.7719763Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.7719870Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7719960Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7720051Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7720126Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.7720226Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7720316Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7720393Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.7720478Z 24 BUILD_TUPLE 2 2022-11-23T01:37:54.7720543Z 26 RETURN_VALUE 2022-11-23T01:37:54.7720548Z 2022-11-23T01:37:54.7720611Z 2022-11-23T01:37:54.7720797Z [2022-11-23 01:31:59,604] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.7720870Z - 2022-11-23T01:37:54.7720993Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.7721061Z { 2022-11-23T01:37:54.7721238Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.7721418Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.7721544Z 'obj_weakref': None 2022-11-23T01:37:54.7721772Z 'guarded_class': 2022-11-23T01:37:54.7721840Z } 2022-11-23T01:37:54.7721909Z 2022-11-23T01:37:54.7721982Z - 2022-11-23T01:37:54.7722113Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.7722164Z { 2022-11-23T01:37:54.7722311Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7722455Z 'code': None, 2022-11-23T01:37:54.7722675Z 'obj_weakref': 2022-11-23T01:37:54.7722935Z 'guarded_class': 2022-11-23T01:37:54.7723001Z } 2022-11-23T01:37:54.7723068Z 2022-11-23T01:37:54.7723128Z - 2022-11-23T01:37:54.7723262Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.7723326Z { 2022-11-23T01:37:54.7723466Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.7723642Z 'code': ['___check_obj_id(model, 140539049007296)'], 2022-11-23T01:37:54.7723765Z 'obj_weakref': None 2022-11-23T01:37:54.7723998Z 'guarded_class': 2022-11-23T01:37:54.7724049Z } 2022-11-23T01:37:54.7724113Z 2022-11-23T01:37:54.7724189Z - 2022-11-23T01:37:54.7724314Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.7724379Z { 2022-11-23T01:37:54.7724518Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.7724738Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.7724849Z 'obj_weakref': None 2022-11-23T01:37:54.7725072Z 'guarded_class': 2022-11-23T01:37:54.7725136Z } 2022-11-23T01:37:54.7725197Z 2022-11-23T01:37:54.7725267Z - 2022-11-23T01:37:54.7725402Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.7725464Z { 2022-11-23T01:37:54.7725572Z 'guard_types': None, 2022-11-23T01:37:54.7725686Z 'code': None, 2022-11-23T01:37:54.7725805Z 'obj_weakref': None 2022-11-23T01:37:54.7725926Z 'guarded_class': None 2022-11-23T01:37:54.7725991Z } 2022-11-23T01:37:54.7726051Z 2022-11-23T01:37:54.7726312Z [2022-11-23 01:31:59,613] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 174 2022-11-23T01:37:54.7726673Z [2022-11-23 01:32:01,019] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zo/czoa5lfjwubwfyhvu7zaodxfb4ci5x3ihwv3q5jz62qmcpgeqiv4.py 2022-11-23T01:37:54.7726941Z [2022-11-23 01:32:01,019] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 174 2022-11-23T01:37:54.7726947Z 2022-11-23T01:37:54.7727041Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.7727108Z import torch 2022-11-23T01:37:54.7727177Z import random 2022-11-23T01:37:54.7727288Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.7727409Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.7727414Z 2022-11-23T01:37:54.7727490Z aten = torch.ops.aten 2022-11-23T01:37:54.7727613Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.7727702Z async_compile = AsyncCompile() 2022-11-23T01:37:54.7727707Z 2022-11-23T01:37:54.7727711Z 2022-11-23T01:37:54.7727845Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.7728051Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.7728196Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.7728298Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.7728394Z float* __restrict__ out_ptr1) 2022-11-23T01:37:54.7728455Z { 2022-11-23T01:37:54.7728519Z #pragma GCC ivdep 2022-11-23T01:37:54.7728597Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:37:54.7728657Z { 2022-11-23T01:37:54.7728735Z #pragma GCC ivdep 2022-11-23T01:37:54.7728814Z for(long i1=0; i1<6; i1+=1) 2022-11-23T01:37:54.7728876Z { 2022-11-23T01:37:54.7728926Z { 2022-11-23T01:37:54.7729017Z { 2022-11-23T01:37:54.7729186Z auto tmp0 = in_ptr0[5 + ((-1)*i1) + (6*i0)]; 2022-11-23T01:37:54.7729279Z out_ptr0[i1 + (6*i0)] = tmp0; 2022-11-23T01:37:54.7729343Z } 2022-11-23T01:37:54.7729404Z } 2022-11-23T01:37:54.7729465Z } 2022-11-23T01:37:54.7729512Z } 2022-11-23T01:37:54.7729587Z #pragma GCC ivdep 2022-11-23T01:37:54.7729664Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:54.7729723Z { 2022-11-23T01:37:54.7729797Z #pragma GCC ivdep 2022-11-23T01:37:54.7729876Z for(long i1=0; i1<6; i1+=1) 2022-11-23T01:37:54.7729936Z { 2022-11-23T01:37:54.7730002Z #pragma GCC ivdep 2022-11-23T01:37:54.7730081Z for(long i2=0; i2<6; i2+=1) 2022-11-23T01:37:54.7730142Z { 2022-11-23T01:37:54.7730203Z { 2022-11-23T01:37:54.7730267Z { 2022-11-23T01:37:54.7730445Z auto tmp0 = in_ptr0[30 + i1 + ((-6)*i2) + (36*i0)]; 2022-11-23T01:37:54.7730552Z auto tmp1 = static_cast(2); 2022-11-23T01:37:54.7730683Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:37:54.7730785Z out_ptr1[i2 + (6*i1) + (36*i0)] = tmp2; 2022-11-23T01:37:54.7730850Z } 2022-11-23T01:37:54.7730911Z } 2022-11-23T01:37:54.7730974Z } 2022-11-23T01:37:54.7731035Z } 2022-11-23T01:37:54.7731083Z } 2022-11-23T01:37:54.7731140Z } 2022-11-23T01:37:54.7731217Z ''') 2022-11-23T01:37:54.7731222Z 2022-11-23T01:37:54.7731227Z 2022-11-23T01:37:54.7731314Z async_compile.wait(globals()) 2022-11-23T01:37:54.7731384Z del async_compile 2022-11-23T01:37:54.7731389Z 2022-11-23T01:37:54.7731456Z def call(args): 2022-11-23T01:37:54.7731522Z arg0_1, = args 2022-11-23T01:37:54.7731589Z args.clear() 2022-11-23T01:37:54.7731791Z buf0 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7732005Z buf1 = empty_strided((1, 2, 6, 6), (72, 36, 1, 6), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7732168Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:54.7732237Z del arg0_1 2022-11-23T01:37:54.7732312Z return (buf0, buf1, ) 2022-11-23T01:37:54.7732318Z 2022-11-23T01:37:54.7732322Z 2022-11-23T01:37:54.7732397Z if __name__ == "__main__": 2022-11-23T01:37:54.7732510Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.7732630Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.7732830Z arg0_1 = rand_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7732936Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.7732940Z 2022-11-23T01:37:54.7733004Z ok (1.435s) 2022-11-23T01:37:54.7733310Z test_fmod_cpu (__main__.CpuTests) ... [2022-11-23 01:32:01,027] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.7733585Z [2022-11-23 01:32:01,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.7733804Z [2022-11-23 01:32:01,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.7734093Z [2022-11-23 01:32:01,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.7734388Z [2022-11-23 01:32:01,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.7734715Z [2022-11-23 01:32:01,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.7735036Z [2022-11-23 01:32:01,028] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.7735133Z 2666 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.7735258Z 2 LOAD_METHOD 1 (fmod) 2022-11-23T01:37:54.7735347Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7735435Z 6 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7735521Z 8 CALL_METHOD 2 2022-11-23T01:37:54.7735616Z 10 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.7735706Z 12 LOAD_METHOD 1 (fmod) 2022-11-23T01:37:54.7735782Z 14 LOAD_CONST 1 (3.0) 2022-11-23T01:37:54.7735870Z 16 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7735950Z 18 BINARY_MULTIPLY 2022-11-23T01:37:54.7736036Z 20 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7736122Z 22 CALL_METHOD 2 2022-11-23T01:37:54.7736212Z 24 LOAD_CONST 2 (2.0) 2022-11-23T01:37:54.7736290Z 26 BINARY_SUBTRACT 2022-11-23T01:37:54.7736367Z 28 BUILD_TUPLE 2 2022-11-23T01:37:54.7736445Z 30 RETURN_VALUE 2022-11-23T01:37:54.7736505Z 2022-11-23T01:37:54.7736510Z 2022-11-23T01:37:54.7736781Z [2022-11-23 01:32:01,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2666 2022-11-23T01:37:54.7737004Z [2022-11-23 01:32:01,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.7737374Z [2022-11-23 01:32:01,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fmod [TorchVariable()] 2022-11-23T01:37:54.7737693Z [2022-11-23 01:32:01,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:54.7738037Z [2022-11-23 01:32:01,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.7738422Z [2022-11-23 01:32:01,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7738658Z [2022-11-23 01:32:01,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:37:54.7739266Z [2022-11-23 01:32:01,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fmod [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.7739624Z [2022-11-23 01:32:01,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.0 [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.7740013Z [2022-11-23 01:32:01,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(), ConstantVariable(float)] 2022-11-23T01:37:54.7740452Z [2022-11-23 01:32:01,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TorchVariable(), ConstantVariable(float), TensorVariable()] 2022-11-23T01:37:54.7740887Z [2022-11-23 01:32:01,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.7741301Z [2022-11-23 01:32:01,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7741577Z [2022-11-23 01:32:01,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7741901Z [2022-11-23 01:32:01,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:37:54.7742214Z [2022-11-23 01:32:01,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7742465Z [2022-11-23 01:32:01,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7742802Z [2022-11-23 01:32:01,034] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.7743051Z [2022-11-23 01:32:01,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7743277Z [2022-11-23 01:32:01,034] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.7743534Z [2022-11-23 01:32:01,035] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.7743788Z [2022-11-23 01:32:01,040] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.7743981Z [2022-11-23 01:32:01,040] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.7744114Z __compiled_fn_176 .1520 opcode, name, target, args, kwargs 2022-11-23T01:37:54.7744201Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.7744290Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.7744527Z call_function, fmod, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.7744693Z call_function, mul, , (3.0, ex_0_), {} 2022-11-23T01:37:54.7744926Z call_function, fmod_1, , (mul, ex_1_), {} 2022-11-23T01:37:54.7745106Z call_function, sub, , (fmod_1, 2.0), {} 2022-11-23T01:37:54.7745210Z output, output, output, ((fmod, sub),), {} 2022-11-23T01:37:54.7745216Z 2022-11-23T01:37:54.7745494Z [2022-11-23 01:32:01,040] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7745587Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.7745676Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7745768Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.7745844Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.7745920Z 8 RETURN_VALUE 2022-11-23T01:37:54.7745925Z 2022-11-23T01:37:54.7745982Z 2022-11-23T01:37:54.7746261Z [2022-11-23 01:32:01,041] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7746366Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_176) 2022-11-23T01:37:54.7746453Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7746539Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7746603Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.7746689Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7746778Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7746851Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.7746938Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.7747039Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7747167Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7747254Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7747316Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.7747415Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7747500Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7747574Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.7747659Z 30 BUILD_TUPLE 2 2022-11-23T01:37:54.7747731Z 32 RETURN_VALUE 2022-11-23T01:37:54.7747736Z 2022-11-23T01:37:54.7747794Z 2022-11-23T01:37:54.7747967Z [2022-11-23 01:32:01,041] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.7748066Z - 2022-11-23T01:37:54.7748279Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.7748344Z { 2022-11-23T01:37:54.7748493Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.7748683Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.7748808Z 'obj_weakref': None 2022-11-23T01:37:54.7749020Z 'guarded_class': 2022-11-23T01:37:54.7749085Z } 2022-11-23T01:37:54.7749150Z 2022-11-23T01:37:54.7749222Z - 2022-11-23T01:37:54.7749349Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.7749413Z { 2022-11-23T01:37:54.7749555Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7749651Z 'code': None, 2022-11-23T01:37:54.7749868Z 'obj_weakref': 2022-11-23T01:37:54.7750127Z 'guarded_class': 2022-11-23T01:37:54.7750190Z } 2022-11-23T01:37:54.7750252Z 2022-11-23T01:37:54.7750322Z - 2022-11-23T01:37:54.7750449Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.7750499Z { 2022-11-23T01:37:54.7750646Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7750757Z 'code': None, 2022-11-23T01:37:54.7750971Z 'obj_weakref': 2022-11-23T01:37:54.7751228Z 'guarded_class': 2022-11-23T01:37:54.7751292Z } 2022-11-23T01:37:54.7751355Z 2022-11-23T01:37:54.7751413Z - 2022-11-23T01:37:54.7751545Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.7751606Z { 2022-11-23T01:37:54.7751743Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.7751914Z 'code': ['___check_obj_id(model, 140539205001584)'], 2022-11-23T01:37:54.7752035Z 'obj_weakref': None 2022-11-23T01:37:54.7752265Z 'guarded_class': 2022-11-23T01:37:54.7752316Z } 2022-11-23T01:37:54.7752376Z 2022-11-23T01:37:54.7752445Z - 2022-11-23T01:37:54.7752568Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.7752630Z { 2022-11-23T01:37:54.7752768Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.7752983Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.7753094Z 'obj_weakref': None 2022-11-23T01:37:54.7753313Z 'guarded_class': 2022-11-23T01:37:54.7753376Z } 2022-11-23T01:37:54.7753439Z 2022-11-23T01:37:54.7753509Z - 2022-11-23T01:37:54.7753645Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.7753707Z { 2022-11-23T01:37:54.7753815Z 'guard_types': None, 2022-11-23T01:37:54.7753921Z 'code': None, 2022-11-23T01:37:54.7754040Z 'obj_weakref': None 2022-11-23T01:37:54.7754195Z 'guarded_class': None 2022-11-23T01:37:54.7754260Z } 2022-11-23T01:37:54.7754321Z 2022-11-23T01:37:54.7754585Z [2022-11-23 01:32:01,050] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 175 2022-11-23T01:37:54.7754949Z [2022-11-23 01:32:02,457] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bg/cbgbn7hhfvq4blcbxrebfxhmfzn4cegftjh64gtml6sbrppqktzh.py 2022-11-23T01:37:54.7755212Z [2022-11-23 01:32:02,458] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 175 2022-11-23T01:37:54.7755246Z 2022-11-23T01:37:54.7755341Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.7755409Z import torch 2022-11-23T01:37:54.7755477Z import random 2022-11-23T01:37:54.7755590Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.7755711Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.7755716Z 2022-11-23T01:37:54.7755792Z aten = torch.ops.aten 2022-11-23T01:37:54.7755916Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.7756005Z async_compile = AsyncCompile() 2022-11-23T01:37:54.7756010Z 2022-11-23T01:37:54.7756015Z 2022-11-23T01:37:54.7756151Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.7756354Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.7756472Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.7756574Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.7756672Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.7756771Z float* __restrict__ out_ptr1) 2022-11-23T01:37:54.7756820Z { 2022-11-23T01:37:54.7756898Z for(long i0=0; i0<9; i0+=1) 2022-11-23T01:37:54.7756958Z { 2022-11-23T01:37:54.7757098Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:54.7757229Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:54.7757317Z auto tmp2 = tmp0.fmod(tmp1); 2022-11-23T01:37:54.7757449Z auto tmp3 = at::vec::Vectorized(static_cast(3.0)); 2022-11-23T01:37:54.7757519Z auto tmp4 = tmp0 * tmp3; 2022-11-23T01:37:54.7757607Z auto tmp5 = tmp4.fmod(tmp1); 2022-11-23T01:37:54.7757736Z auto tmp6 = at::vec::Vectorized(static_cast(2.0)); 2022-11-23T01:37:54.7757857Z auto tmp7 = tmp5 - tmp6; 2022-11-23T01:37:54.7757945Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.7758029Z tmp7.store(out_ptr1 + 8*i0); 2022-11-23T01:37:54.7758094Z } 2022-11-23T01:37:54.7758167Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.7758248Z for(long i0=72; i0<72; i0+=1) 2022-11-23T01:37:54.7758312Z { 2022-11-23T01:37:54.7758393Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.7758477Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:54.7758580Z auto tmp2 = std::fmod(tmp0, tmp1); 2022-11-23T01:37:54.7758680Z auto tmp3 = static_cast(3.0); 2022-11-23T01:37:54.7758748Z auto tmp4 = tmp0 * tmp3; 2022-11-23T01:37:54.7758847Z auto tmp5 = std::fmod(tmp4, tmp1); 2022-11-23T01:37:54.7758944Z auto tmp6 = static_cast(2.0); 2022-11-23T01:37:54.7759066Z auto tmp7 = tmp5 - tmp6; 2022-11-23T01:37:54.7759144Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:54.7759220Z out_ptr1[i0] = tmp7; 2022-11-23T01:37:54.7759283Z } 2022-11-23T01:37:54.7759329Z } 2022-11-23T01:37:54.7759409Z ''') 2022-11-23T01:37:54.7759414Z 2022-11-23T01:37:54.7759420Z 2022-11-23T01:37:54.7759510Z async_compile.wait(globals()) 2022-11-23T01:37:54.7759582Z del async_compile 2022-11-23T01:37:54.7759587Z 2022-11-23T01:37:54.7759654Z def call(args): 2022-11-23T01:37:54.7759730Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.7759800Z args.clear() 2022-11-23T01:37:54.7760000Z buf0 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7760242Z buf1 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7760438Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:54.7760508Z del arg0_1 2022-11-23T01:37:54.7760574Z del arg1_1 2022-11-23T01:37:54.7760650Z return (buf0, buf1, ) 2022-11-23T01:37:54.7760656Z 2022-11-23T01:37:54.7760660Z 2022-11-23T01:37:54.7760736Z if __name__ == "__main__": 2022-11-23T01:37:54.7760851Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.7761006Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.7761223Z arg0_1 = rand_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7761435Z arg1_1 = rand_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7761552Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.7761559Z 2022-11-23T01:37:54.7761629Z ok (1.438s) 2022-11-23T01:37:54.7761946Z test_fmod_zero_dim_cpu (__main__.CpuTests) ... [2022-11-23 01:32:02,466] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.7762219Z [2022-11-23 01:32:02,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.7762441Z [2022-11-23 01:32:02,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.7762699Z [2022-11-23 01:32:02,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.7762978Z [2022-11-23 01:32:02,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.7763305Z [2022-11-23 01:32:02,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.7763639Z [2022-11-23 01:32:02,466] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.7763738Z 2673 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.7763829Z 2 LOAD_METHOD 1 (fmod) 2022-11-23T01:37:54.7763919Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7764012Z 6 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7764104Z 8 CALL_METHOD 2 2022-11-23T01:37:54.7764179Z 10 BUILD_TUPLE 1 2022-11-23T01:37:54.7764259Z 12 RETURN_VALUE 2022-11-23T01:37:54.7764321Z 2022-11-23T01:37:54.7764326Z 2022-11-23T01:37:54.7764601Z [2022-11-23 01:32:02,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2673 2022-11-23T01:37:54.7764823Z [2022-11-23 01:32:02,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.7765190Z [2022-11-23 01:32:02,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fmod [TorchVariable()] 2022-11-23T01:37:54.7765514Z [2022-11-23 01:32:02,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:54.7765860Z [2022-11-23 01:32:02,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.7766246Z [2022-11-23 01:32:02,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7766492Z [2022-11-23 01:32:02,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:54.7766759Z [2022-11-23 01:32:02,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7767095Z [2022-11-23 01:32:02,468] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.7767345Z [2022-11-23 01:32:02,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7767581Z [2022-11-23 01:32:02,469] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.7767835Z [2022-11-23 01:32:02,470] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.7768118Z [2022-11-23 01:32:02,473] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.7768310Z [2022-11-23 01:32:02,473] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.7768446Z __compiled_fn_177 .1526 opcode, name, target, args, kwargs 2022-11-23T01:37:54.7768535Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.7768609Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.7768846Z call_function, fmod, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.7768945Z output, output, output, ((fmod,),), {} 2022-11-23T01:37:54.7768951Z 2022-11-23T01:37:54.7769227Z [2022-11-23 01:32:02,474] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7769321Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.7769413Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7769504Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.7769592Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.7769654Z 8 RETURN_VALUE 2022-11-23T01:37:54.7769659Z 2022-11-23T01:37:54.7769717Z 2022-11-23T01:37:54.7769997Z [2022-11-23 01:32:02,474] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7770103Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_177) 2022-11-23T01:37:54.7770191Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7770277Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7770353Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.7770428Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7770514Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7770588Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.7770670Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.7770776Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7770875Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7770960Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7771022Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.7771109Z 24 BUILD_TUPLE 1 2022-11-23T01:37:54.7771185Z 26 RETURN_VALUE 2022-11-23T01:37:54.7771189Z 2022-11-23T01:37:54.7771248Z 2022-11-23T01:37:54.7771430Z [2022-11-23 01:32:02,474] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.7771499Z - 2022-11-23T01:37:54.7771620Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.7771683Z { 2022-11-23T01:37:54.7771811Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.7771999Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.7772120Z 'obj_weakref': None 2022-11-23T01:37:54.7772348Z 'guarded_class': 2022-11-23T01:37:54.7772412Z } 2022-11-23T01:37:54.7772474Z 2022-11-23T01:37:54.7772542Z - 2022-11-23T01:37:54.7772658Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.7772720Z { 2022-11-23T01:37:54.7772893Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7773004Z 'code': None, 2022-11-23T01:37:54.7773217Z 'obj_weakref': 2022-11-23T01:37:54.7773471Z 'guarded_class': 2022-11-23T01:37:54.7773535Z } 2022-11-23T01:37:54.7773584Z 2022-11-23T01:37:54.7773653Z - 2022-11-23T01:37:54.7773775Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.7773836Z { 2022-11-23T01:37:54.7774012Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7774120Z 'code': None, 2022-11-23T01:37:54.7774333Z 'obj_weakref': 2022-11-23T01:37:54.7774575Z 'guarded_class': 2022-11-23T01:37:54.7774640Z } 2022-11-23T01:37:54.7774702Z 2022-11-23T01:37:54.7774770Z - 2022-11-23T01:37:54.7774901Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.7774962Z { 2022-11-23T01:37:54.7775095Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.7775254Z 'code': ['___check_obj_id(model, 140539204816624)'], 2022-11-23T01:37:54.7775374Z 'obj_weakref': None 2022-11-23T01:37:54.7775604Z 'guarded_class': 2022-11-23T01:37:54.7775668Z } 2022-11-23T01:37:54.7775732Z 2022-11-23T01:37:54.7775803Z - 2022-11-23T01:37:54.7775925Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.7775975Z { 2022-11-23T01:37:54.7776110Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.7776328Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.7776449Z 'obj_weakref': None 2022-11-23T01:37:54.7776671Z 'guarded_class': 2022-11-23T01:37:54.7776735Z } 2022-11-23T01:37:54.7776797Z 2022-11-23T01:37:54.7776854Z - 2022-11-23T01:37:54.7776986Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.7777049Z { 2022-11-23T01:37:54.7777167Z 'guard_types': None, 2022-11-23T01:37:54.7777276Z 'code': None, 2022-11-23T01:37:54.7777395Z 'obj_weakref': None 2022-11-23T01:37:54.7777504Z 'guarded_class': None 2022-11-23T01:37:54.7777569Z } 2022-11-23T01:37:54.7777629Z 2022-11-23T01:37:54.7777890Z [2022-11-23 01:32:02,480] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 176 2022-11-23T01:37:54.7778263Z [2022-11-23 01:32:03,866] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jq/cjqoxb4yxgiva63ew7b5kfkffz5ypdgb2xzc4vewqafjcxiyzhb4.py 2022-11-23T01:37:54.7778530Z [2022-11-23 01:32:03,866] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 176 2022-11-23T01:37:54.7778917Z [2022-11-23 01:32:03,872] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.7779284Z [2022-11-23 01:32:03,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.7779509Z [2022-11-23 01:32:03,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.7779752Z [2022-11-23 01:32:03,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.7780047Z [2022-11-23 01:32:03,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.7780445Z [2022-11-23 01:32:03,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.7780780Z [2022-11-23 01:32:03,873] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.7780878Z 2673 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.7780973Z 2 LOAD_METHOD 1 (fmod) 2022-11-23T01:37:54.7781063Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7781154Z 6 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7781230Z 8 CALL_METHOD 2 2022-11-23T01:37:54.7781361Z 10 BUILD_TUPLE 1 2022-11-23T01:37:54.7781437Z 12 RETURN_VALUE 2022-11-23T01:37:54.7781497Z 2022-11-23T01:37:54.7781502Z 2022-11-23T01:37:54.7781776Z [2022-11-23 01:32:03,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2673 2022-11-23T01:37:54.7782002Z [2022-11-23 01:32:03,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.7782370Z [2022-11-23 01:32:03,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fmod [TorchVariable()] 2022-11-23T01:37:54.7782690Z [2022-11-23 01:32:03,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:54.7783035Z [2022-11-23 01:32:03,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.7783420Z [2022-11-23 01:32:03,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7783654Z [2022-11-23 01:32:03,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:54.7783903Z [2022-11-23 01:32:03,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7784236Z [2022-11-23 01:32:03,876] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.7784485Z [2022-11-23 01:32:03,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7784726Z [2022-11-23 01:32:03,876] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.7784986Z [2022-11-23 01:32:03,877] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.7785236Z [2022-11-23 01:32:03,880] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.7785429Z [2022-11-23 01:32:03,880] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.7785566Z __compiled_fn_178 .1532 opcode, name, target, args, kwargs 2022-11-23T01:37:54.7785643Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.7785728Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.7785966Z call_function, fmod, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.7786061Z output, output, output, ((fmod,),), {} 2022-11-23T01:37:54.7786066Z 2022-11-23T01:37:54.7786344Z [2022-11-23 01:32:03,880] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7786438Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.7786529Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7786623Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.7786701Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.7786776Z 8 RETURN_VALUE 2022-11-23T01:37:54.7786782Z 2022-11-23T01:37:54.7786841Z 2022-11-23T01:37:54.7787148Z [2022-11-23 01:32:03,880] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7787258Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_178) 2022-11-23T01:37:54.7787350Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7787437Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7787501Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.7787588Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7787674Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7787749Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.7787865Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.7787969Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7788070Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7788213Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7788299Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.7788387Z 24 BUILD_TUPLE 1 2022-11-23T01:37:54.7788465Z 26 RETURN_VALUE 2022-11-23T01:37:54.7788471Z 2022-11-23T01:37:54.7788532Z 2022-11-23T01:37:54.7788721Z [2022-11-23 01:32:03,881] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.7788794Z - 2022-11-23T01:37:54.7788915Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.7788967Z { 2022-11-23T01:37:54.7789108Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.7789298Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.7789424Z 'obj_weakref': None 2022-11-23T01:37:54.7789650Z 'guarded_class': 2022-11-23T01:37:54.7789718Z } 2022-11-23T01:37:54.7789780Z 2022-11-23T01:37:54.7789837Z - 2022-11-23T01:37:54.7789964Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.7790030Z { 2022-11-23T01:37:54.7790179Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7790286Z 'code': None, 2022-11-23T01:37:54.7790502Z 'obj_weakref': 2022-11-23T01:37:54.7790757Z 'guarded_class': 2022-11-23T01:37:54.7790810Z } 2022-11-23T01:37:54.7790873Z 2022-11-23T01:37:54.7790943Z - 2022-11-23T01:37:54.7791068Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.7791131Z { 2022-11-23T01:37:54.7791276Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7791384Z 'code': None, 2022-11-23T01:37:54.7791585Z 'obj_weakref': 2022-11-23T01:37:54.7791841Z 'guarded_class': 2022-11-23T01:37:54.7791902Z } 2022-11-23T01:37:54.7791966Z 2022-11-23T01:37:54.7792035Z - 2022-11-23T01:37:54.7792165Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.7792226Z { 2022-11-23T01:37:54.7792347Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.7792518Z 'code': ['___check_obj_id(model, 140539204816624)'], 2022-11-23T01:37:54.7792637Z 'obj_weakref': None 2022-11-23T01:37:54.7792867Z 'guarded_class': 2022-11-23T01:37:54.7792932Z } 2022-11-23T01:37:54.7792994Z 2022-11-23T01:37:54.7793063Z - 2022-11-23T01:37:54.7793173Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.7793236Z { 2022-11-23T01:37:54.7793372Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.7793621Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.7793743Z 'obj_weakref': None 2022-11-23T01:37:54.7793965Z 'guarded_class': 2022-11-23T01:37:54.7794028Z } 2022-11-23T01:37:54.7794077Z 2022-11-23T01:37:54.7794148Z - 2022-11-23T01:37:54.7794282Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.7794344Z { 2022-11-23T01:37:54.7794463Z 'guard_types': None, 2022-11-23T01:37:54.7794570Z 'code': None, 2022-11-23T01:37:54.7794677Z 'obj_weakref': None 2022-11-23T01:37:54.7794839Z 'guarded_class': None 2022-11-23T01:37:54.7794900Z } 2022-11-23T01:37:54.7794961Z 2022-11-23T01:37:54.7795222Z [2022-11-23 01:32:03,887] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 177 2022-11-23T01:37:54.7795601Z [2022-11-23 01:32:05,274] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vd/cvdl5de5viddptmwzusuqdqi5ixmapsyk67mp2z4gqaxpqx25qvq.py 2022-11-23T01:37:54.7795926Z [2022-11-23 01:32:05,275] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 177 2022-11-23T01:37:54.7795935Z 2022-11-23T01:37:54.7796063Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.7796124Z import torch 2022-11-23T01:37:54.7796191Z import random 2022-11-23T01:37:54.7796305Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.7796424Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.7796429Z 2022-11-23T01:37:54.7796508Z aten = torch.ops.aten 2022-11-23T01:37:54.7796641Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.7796730Z async_compile = AsyncCompile() 2022-11-23T01:37:54.7796735Z 2022-11-23T01:37:54.7796739Z 2022-11-23T01:37:54.7796875Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.7797072Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.7797191Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.7797294Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.7797393Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.7797452Z { 2022-11-23T01:37:54.7797531Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:37:54.7797592Z { 2022-11-23T01:37:54.7797717Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:54.7797836Z auto tmp1 = at::vec::Vectorized(in_ptr1[0]); 2022-11-23T01:37:54.7797925Z auto tmp2 = tmp0.fmod(tmp1); 2022-11-23T01:37:54.7798009Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.7798067Z } 2022-11-23T01:37:54.7798154Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.7798232Z for(long i0=8; i0<10; i0+=1) 2022-11-23T01:37:54.7798280Z { 2022-11-23T01:37:54.7798358Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.7798443Z auto tmp1 = in_ptr1[0]; 2022-11-23T01:37:54.7798540Z auto tmp2 = std::fmod(tmp0, tmp1); 2022-11-23T01:37:54.7798619Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:54.7798680Z } 2022-11-23T01:37:54.7798741Z } 2022-11-23T01:37:54.7798809Z ''') 2022-11-23T01:37:54.7798813Z 2022-11-23T01:37:54.7798833Z 2022-11-23T01:37:54.7798910Z async_compile.wait(globals()) 2022-11-23T01:37:54.7798984Z del async_compile 2022-11-23T01:37:54.7798989Z 2022-11-23T01:37:54.7799062Z def call(args): 2022-11-23T01:37:54.7799138Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.7799209Z args.clear() 2022-11-23T01:37:54.7799411Z buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7799576Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.7799631Z del arg0_1 2022-11-23T01:37:54.7799699Z del arg1_1 2022-11-23T01:37:54.7799770Z return (buf0, ) 2022-11-23T01:37:54.7799774Z 2022-11-23T01:37:54.7799820Z 2022-11-23T01:37:54.7799902Z if __name__ == "__main__": 2022-11-23T01:37:54.7800014Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.7800136Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.7800339Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7800530Z arg1_1 = rand_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7800634Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.7800639Z 2022-11-23T01:37:54.7800643Z 2022-11-23T01:37:54.7800769Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.7800840Z import torch 2022-11-23T01:37:54.7800910Z import random 2022-11-23T01:37:54.7801026Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.7801145Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.7801149Z 2022-11-23T01:37:54.7801228Z aten = torch.ops.aten 2022-11-23T01:37:54.7801352Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.7801444Z async_compile = AsyncCompile() 2022-11-23T01:37:54.7801449Z 2022-11-23T01:37:54.7801453Z 2022-11-23T01:37:54.7801590Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.7801794Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.7801913Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.7802018Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.7802119Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.7802184Z { 2022-11-23T01:37:54.7802250Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:37:54.7802312Z { 2022-11-23T01:37:54.7802435Z auto tmp0 = at::vec::Vectorized(in_ptr0[0]); 2022-11-23T01:37:54.7802568Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:54.7802657Z auto tmp2 = tmp0.fmod(tmp1); 2022-11-23T01:37:54.7802749Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.7802810Z } 2022-11-23T01:37:54.7802886Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.7802965Z for(long i0=8; i0<10; i0+=1) 2022-11-23T01:37:54.7803023Z { 2022-11-23T01:37:54.7803107Z auto tmp0 = in_ptr0[0]; 2022-11-23T01:37:54.7803189Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:54.7803288Z auto tmp2 = std::fmod(tmp0, tmp1); 2022-11-23T01:37:54.7803366Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:54.7803413Z } 2022-11-23T01:37:54.7803474Z } 2022-11-23T01:37:54.7803555Z ''') 2022-11-23T01:37:54.7803563Z 2022-11-23T01:37:54.7803567Z 2022-11-23T01:37:54.7803657Z async_compile.wait(globals()) 2022-11-23T01:37:54.7803730Z del async_compile 2022-11-23T01:37:54.7803734Z 2022-11-23T01:37:54.7803806Z def call(args): 2022-11-23T01:37:54.7803882Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.7803939Z args.clear() 2022-11-23T01:37:54.7804137Z buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7804300Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.7804366Z del arg0_1 2022-11-23T01:37:54.7804431Z del arg1_1 2022-11-23T01:37:54.7804501Z return (buf0, ) 2022-11-23T01:37:54.7804506Z 2022-11-23T01:37:54.7804510Z 2022-11-23T01:37:54.7804583Z if __name__ == "__main__": 2022-11-23T01:37:54.7804695Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.7804804Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.7804993Z arg0_1 = rand_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7805189Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7805301Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.7805306Z 2022-11-23T01:37:54.7805370Z ok (2.817s) 2022-11-23T01:37:54.7805711Z test_full_like_cpu (__main__.CpuTests) ... [2022-11-23 01:32:05,282] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.7805987Z [2022-11-23 01:32:05,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.7806211Z [2022-11-23 01:32:05,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.7806469Z [2022-11-23 01:32:05,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.7806746Z [2022-11-23 01:32:05,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.7807145Z [2022-11-23 01:32:05,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.7807471Z [2022-11-23 01:32:05,282] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.7807573Z 2807 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.7807672Z 2 LOAD_METHOD 1 (full_like) 2022-11-23T01:37:54.7807762Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7807852Z 6 LOAD_CONST 1 (7.777) 2022-11-23T01:37:54.7807940Z 8 CALL_METHOD 2 2022-11-23T01:37:54.7808016Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7808096Z 12 BINARY_SUBTRACT 2022-11-23T01:37:54.7808170Z 14 RETURN_VALUE 2022-11-23T01:37:54.7808231Z 2022-11-23T01:37:54.7808238Z 2022-11-23T01:37:54.7808509Z [2022-11-23 01:32:05,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2807 2022-11-23T01:37:54.7808733Z [2022-11-23 01:32:05,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.7809118Z [2022-11-23 01:32:05,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR full_like [TorchVariable()] 2022-11-23T01:37:54.7809448Z [2022-11-23 01:32:05,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:54.7809807Z [2022-11-23 01:32:05,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 7.777 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.7810196Z [2022-11-23 01:32:05,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:37:54.7810440Z [2022-11-23 01:32:05,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:37:54.7810737Z [2022-11-23 01:32:05,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.7810986Z [2022-11-23 01:32:05,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.7811316Z [2022-11-23 01:32:05,286] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.7811564Z [2022-11-23 01:32:05,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.7811800Z [2022-11-23 01:32:05,286] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.7812058Z [2022-11-23 01:32:05,287] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.7812309Z [2022-11-23 01:32:05,290] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.7812499Z [2022-11-23 01:32:05,290] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.7812650Z __compiled_fn_179 .1538 opcode, name, target, args, kwargs 2022-11-23T01:37:54.7812742Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.7812993Z call_function, full_like, , (ex_0_, 7.777), {} 2022-11-23T01:37:54.7813179Z call_function, sub, , (full_like, 1), {} 2022-11-23T01:37:54.7813274Z output, output, output, ((sub,),), {} 2022-11-23T01:37:54.7813280Z 2022-11-23T01:37:54.7813555Z [2022-11-23 01:32:05,291] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7813678Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.7813770Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7813850Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.7813938Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.7814014Z 8 RETURN_VALUE 2022-11-23T01:37:54.7814021Z 2022-11-23T01:37:54.7814078Z 2022-11-23T01:37:54.7814355Z [2022-11-23 01:32:05,291] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7814461Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_179) 2022-11-23T01:37:54.7814549Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7814636Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7814699Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.7814784Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.7814874Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.7814950Z 12 RETURN_VALUE 2022-11-23T01:37:54.7814955Z 2022-11-23T01:37:54.7815012Z 2022-11-23T01:37:54.7815196Z [2022-11-23 01:32:05,292] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.7815266Z - 2022-11-23T01:37:54.7815375Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.7815437Z { 2022-11-23T01:37:54.7815580Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.7815767Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.7815888Z 'obj_weakref': None 2022-11-23T01:37:54.7816110Z 'guarded_class': 2022-11-23T01:37:54.7816173Z } 2022-11-23T01:37:54.7816224Z 2022-11-23T01:37:54.7816294Z - 2022-11-23T01:37:54.7816419Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.7816480Z { 2022-11-23T01:37:54.7816625Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7816738Z 'code': None, 2022-11-23T01:37:54.7816951Z 'obj_weakref': 2022-11-23T01:37:54.7817193Z 'guarded_class': 2022-11-23T01:37:54.7817260Z } 2022-11-23T01:37:54.7817321Z 2022-11-23T01:37:54.7817391Z - 2022-11-23T01:37:54.7817520Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.7817582Z { 2022-11-23T01:37:54.7817718Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.7817877Z 'code': ['___check_obj_id(model, 140538744815200)'], 2022-11-23T01:37:54.7817997Z 'obj_weakref': None 2022-11-23T01:37:54.7818226Z 'guarded_class': 2022-11-23T01:37:54.7818287Z } 2022-11-23T01:37:54.7818349Z 2022-11-23T01:37:54.7818419Z - 2022-11-23T01:37:54.7818540Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.7818591Z { 2022-11-23T01:37:54.7818727Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.7819168Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.7819354Z 'obj_weakref': None 2022-11-23T01:37:54.7819584Z 'guarded_class': 2022-11-23T01:37:54.7819647Z } 2022-11-23T01:37:54.7819710Z 2022-11-23T01:37:54.7819768Z - 2022-11-23T01:37:54.7819903Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.7819964Z { 2022-11-23T01:37:54.7820087Z 'guard_types': None, 2022-11-23T01:37:54.7820197Z 'code': None, 2022-11-23T01:37:54.7820317Z 'obj_weakref': None 2022-11-23T01:37:54.7820428Z 'guarded_class': None 2022-11-23T01:37:54.7820532Z } 2022-11-23T01:37:54.7820594Z 2022-11-23T01:37:54.7820858Z [2022-11-23 01:32:05,298] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 178 2022-11-23T01:37:54.7821233Z [2022-11-23 01:32:06,676] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lw/clwzsl5qzf4rwtzgfmmsvnthjd4zd5zcjb7zgyggbfpwsxj3uwqe.py 2022-11-23T01:37:54.7821497Z [2022-11-23 01:32:06,677] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 178 2022-11-23T01:37:54.7821503Z 2022-11-23T01:37:54.7821595Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.7821663Z import torch 2022-11-23T01:37:54.7821718Z import random 2022-11-23T01:37:54.7821829Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.7821948Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.7821953Z 2022-11-23T01:37:54.7822030Z aten = torch.ops.aten 2022-11-23T01:37:54.7822165Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.7822256Z async_compile = AsyncCompile() 2022-11-23T01:37:54.7822261Z 2022-11-23T01:37:54.7822265Z 2022-11-23T01:37:54.7822399Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.7822605Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.7822708Z extern "C" void kernel(float* __restrict__ out_ptr0) 2022-11-23T01:37:54.7822769Z { 2022-11-23T01:37:54.7822847Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:37:54.7822909Z { 2022-11-23T01:37:54.7823049Z auto tmp0 = at::vec::Vectorized(static_cast(7.777)); 2022-11-23T01:37:54.7823180Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:54.7823302Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:37:54.7823387Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.7823435Z } 2022-11-23T01:37:54.7823521Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.7823601Z for(long i0=8; i0<8; i0+=1) 2022-11-23T01:37:54.7823658Z { 2022-11-23T01:37:54.7823758Z auto tmp0 = static_cast(7.777); 2022-11-23T01:37:54.7823852Z auto tmp1 = static_cast(1); 2022-11-23T01:37:54.7823960Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:37:54.7824037Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:54.7824096Z } 2022-11-23T01:37:54.7824156Z } 2022-11-23T01:37:54.7824233Z ''') 2022-11-23T01:37:54.7824239Z 2022-11-23T01:37:54.7824243Z 2022-11-23T01:37:54.7824332Z async_compile.wait(globals()) 2022-11-23T01:37:54.7824402Z del async_compile 2022-11-23T01:37:54.7824407Z 2022-11-23T01:37:54.7824475Z def call(args): 2022-11-23T01:37:54.7824531Z arg0_1, = args 2022-11-23T01:37:54.7824599Z args.clear() 2022-11-23T01:37:54.7824793Z buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7824895Z kernel_cpp_0(c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.7824964Z return (buf0, ) 2022-11-23T01:37:54.7824971Z 2022-11-23T01:37:54.7824975Z 2022-11-23T01:37:54.7825049Z if __name__ == "__main__": 2022-11-23T01:37:54.7825159Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.7825268Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.7825465Z arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7825601Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.7825606Z 2022-11-23T01:37:54.7825675Z ok (1.402s) 2022-11-23T01:37:54.7825988Z test_fuse_tiled_cpu (__main__.CpuTests) ... [2022-11-23 01:32:06,685] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.7826261Z [2022-11-23 01:32:06,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.7826481Z [2022-11-23 01:32:06,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.7826740Z [2022-11-23 01:32:06,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.7827061Z [2022-11-23 01:32:06,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.7827378Z [2022-11-23 01:32:06,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.7827709Z [2022-11-23 01:32:06,686] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.7827807Z 3429 0 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7827897Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7827968Z 4 BINARY_ADD 2022-11-23T01:37:54.7828057Z 6 LOAD_FAST 2 (c) 2022-11-23T01:37:54.7828232Z 8 LOAD_CONST 1 (1) 2022-11-23T01:37:54.7828309Z 10 BINARY_ADD 2022-11-23T01:37:54.7828389Z 12 BUILD_TUPLE 2 2022-11-23T01:37:54.7828464Z 14 RETURN_VALUE 2022-11-23T01:37:54.7828525Z 2022-11-23T01:37:54.7828530Z 2022-11-23T01:37:54.7828805Z [2022-11-23 01:32:06,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3429 2022-11-23T01:37:54.7829021Z [2022-11-23 01:32:06,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:54.7829260Z [2022-11-23 01:32:06,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:54.7829539Z [2022-11-23 01:32:06,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7829784Z [2022-11-23 01:32:06,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable()] 2022-11-23T01:37:54.7830039Z [2022-11-23 01:32:06,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7830356Z [2022-11-23 01:32:06,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.7830629Z [2022-11-23 01:32:06,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7830881Z [2022-11-23 01:32:06,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7831220Z [2022-11-23 01:32:06,689] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.7831470Z [2022-11-23 01:32:06,689] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7831707Z [2022-11-23 01:32:06,689] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.7831968Z [2022-11-23 01:32:06,692] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.7832225Z [2022-11-23 01:32:06,696] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.7832418Z [2022-11-23 01:32:06,696] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.7832575Z __compiled_fn_180 .1544 opcode, name, target, args, kwargs 2022-11-23T01:37:54.7832666Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.7832753Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.7832836Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:37:54.7833016Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.7833192Z call_function, add_1, , (ex_2_, 1), {} 2022-11-23T01:37:54.7833293Z output, output, output, ((add, add_1),), {} 2022-11-23T01:37:54.7833299Z 2022-11-23T01:37:54.7833564Z [2022-11-23 01:32:06,697] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7833685Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.7833774Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7833866Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.7833954Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.7834030Z 8 RETURN_VALUE 2022-11-23T01:37:54.7834037Z 2022-11-23T01:37:54.7834096Z 2022-11-23T01:37:54.7834376Z [2022-11-23 01:32:06,697] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7834471Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_180) 2022-11-23T01:37:54.7834558Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7834645Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7834720Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.7834806Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7834892Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7834969Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.7835042Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7835126Z 16 LOAD_CONST 3 (2) 2022-11-23T01:37:54.7835197Z 18 BINARY_SUBSCR 2022-11-23T01:37:54.7835282Z 20 CALL_FUNCTION 3 2022-11-23T01:37:54.7835386Z 22 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7835487Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7835572Z 26 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7835634Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.7835733Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7835821Z 32 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7835897Z 34 BINARY_SUBSCR 2022-11-23T01:37:54.7835983Z 36 BUILD_TUPLE 2 2022-11-23T01:37:54.7836058Z 38 RETURN_VALUE 2022-11-23T01:37:54.7836064Z 2022-11-23T01:37:54.7836122Z 2022-11-23T01:37:54.7836307Z [2022-11-23 01:32:06,698] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.7836366Z - 2022-11-23T01:37:54.7836484Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.7836548Z { 2022-11-23T01:37:54.7836695Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.7836888Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 3'], 2022-11-23T01:37:54.7837010Z 'obj_weakref': None 2022-11-23T01:37:54.7837236Z 'guarded_class': 2022-11-23T01:37:54.7837288Z } 2022-11-23T01:37:54.7837349Z 2022-11-23T01:37:54.7837419Z - 2022-11-23T01:37:54.7837546Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.7837609Z { 2022-11-23T01:37:54.7837754Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7837867Z 'code': None, 2022-11-23T01:37:54.7838071Z 'obj_weakref': 2022-11-23T01:37:54.7838326Z 'guarded_class': 2022-11-23T01:37:54.7838391Z } 2022-11-23T01:37:54.7838456Z 2022-11-23T01:37:54.7838564Z - 2022-11-23T01:37:54.7838695Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.7838759Z { 2022-11-23T01:37:54.7838889Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7838999Z 'code': None, 2022-11-23T01:37:54.7839216Z 'obj_weakref': 2022-11-23T01:37:54.7839473Z 'guarded_class': 2022-11-23T01:37:54.7839538Z } 2022-11-23T01:37:54.7839601Z 2022-11-23T01:37:54.7839709Z - 2022-11-23T01:37:54.7839822Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:37:54.7839887Z { 2022-11-23T01:37:54.7840034Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7840147Z 'code': None, 2022-11-23T01:37:54.7840359Z 'obj_weakref': 2022-11-23T01:37:54.7840616Z 'guarded_class': 2022-11-23T01:37:54.7840681Z } 2022-11-23T01:37:54.7840733Z 2022-11-23T01:37:54.7840805Z - 2022-11-23T01:37:54.7840938Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.7841002Z { 2022-11-23T01:37:54.7841140Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.7841316Z 'code': ['___check_obj_id(model, 140539203586096)'], 2022-11-23T01:37:54.7841442Z 'obj_weakref': None 2022-11-23T01:37:54.7841665Z 'guarded_class': 2022-11-23T01:37:54.7841733Z } 2022-11-23T01:37:54.7841797Z 2022-11-23T01:37:54.7841870Z - 2022-11-23T01:37:54.7841994Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.7842058Z { 2022-11-23T01:37:54.7842198Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.7842409Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.7842531Z 'obj_weakref': None 2022-11-23T01:37:54.7842754Z 'guarded_class': 2022-11-23T01:37:54.7842822Z } 2022-11-23T01:37:54.7842886Z 2022-11-23T01:37:54.7843152Z [2022-11-23 01:32:06,704] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 179 2022-11-23T01:37:54.7843523Z [2022-11-23 01:32:08,110] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sq/csqazz4azr3pp7udp65l47tlvt42s5hc55mqvlphrxvsv3x7vegc.py 2022-11-23T01:37:54.7843798Z [2022-11-23 01:32:08,111] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 179 2022-11-23T01:37:54.7843804Z 2022-11-23T01:37:54.7843886Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.7843957Z import torch 2022-11-23T01:37:54.7844028Z import random 2022-11-23T01:37:54.7844142Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.7844265Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.7844270Z 2022-11-23T01:37:54.7844348Z aten = torch.ops.aten 2022-11-23T01:37:54.7844482Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.7844561Z async_compile = AsyncCompile() 2022-11-23T01:37:54.7844566Z 2022-11-23T01:37:54.7844582Z 2022-11-23T01:37:54.7844704Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.7844914Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.7845038Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.7845143Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.7845243Z const float* __restrict__ in_ptr2, 2022-11-23T01:37:54.7845368Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.7845466Z float* __restrict__ out_ptr1) 2022-11-23T01:37:54.7845515Z { 2022-11-23T01:37:54.7845588Z #pragma GCC ivdep 2022-11-23T01:37:54.7845667Z for(long i0=0; i0<128; i0+=1) 2022-11-23T01:37:54.7845727Z { 2022-11-23T01:37:54.7845808Z for(long i1=0; i1<16; i1+=1) 2022-11-23T01:37:54.7845870Z { 2022-11-23T01:37:54.7845999Z auto tmp0 = at::vec::Vectorized(in_ptr0[i0]); 2022-11-23T01:37:54.7846119Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i1); 2022-11-23T01:37:54.7846203Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.7846335Z tmp2.store(out_ptr0 + (8*i1) + (128*i0)); 2022-11-23T01:37:54.7846397Z } 2022-11-23T01:37:54.7846485Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.7846565Z for(long i1=128; i1<128; i1+=1) 2022-11-23T01:37:54.7846627Z { 2022-11-23T01:37:54.7846699Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.7846781Z auto tmp1 = in_ptr1[i1]; 2022-11-23T01:37:54.7846861Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.7846950Z out_ptr0[i1 + (128*i0)] = tmp2; 2022-11-23T01:37:54.7847011Z } 2022-11-23T01:37:54.7847069Z } 2022-11-23T01:37:54.7847146Z for(long i0=0; i0<2048; i0+=1) 2022-11-23T01:37:54.7847195Z { 2022-11-23T01:37:54.7847326Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr2 + 8*i0); 2022-11-23T01:37:54.7847455Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:54.7847537Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.7847625Z tmp2.store(out_ptr1 + 8*i0); 2022-11-23T01:37:54.7847683Z } 2022-11-23T01:37:54.7847771Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.7847841Z for(long i0=16384; i0<16384; i0+=1) 2022-11-23T01:37:54.7847899Z { 2022-11-23T01:37:54.7847978Z auto tmp0 = in_ptr2[i0]; 2022-11-23T01:37:54.7848076Z auto tmp1 = static_cast(1); 2022-11-23T01:37:54.7848157Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.7848234Z out_ptr1[i0] = tmp2; 2022-11-23T01:37:54.7848294Z } 2022-11-23T01:37:54.7848341Z } 2022-11-23T01:37:54.7848424Z ''') 2022-11-23T01:37:54.7848429Z 2022-11-23T01:37:54.7848433Z 2022-11-23T01:37:54.7848524Z async_compile.wait(globals()) 2022-11-23T01:37:54.7848595Z del async_compile 2022-11-23T01:37:54.7848599Z 2022-11-23T01:37:54.7848670Z def call(args): 2022-11-23T01:37:54.7848751Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:54.7848823Z args.clear() 2022-11-23T01:37:54.7849017Z buf0 = empty_strided((128, 128), (128, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7849226Z buf1 = empty_strided((128, 128), (128, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7849439Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:54.7849508Z del arg0_1 2022-11-23T01:37:54.7849573Z del arg1_1 2022-11-23T01:37:54.7849635Z del arg2_1 2022-11-23T01:37:54.7849711Z return (buf0, buf1, ) 2022-11-23T01:37:54.7849716Z 2022-11-23T01:37:54.7849720Z 2022-11-23T01:37:54.7849793Z if __name__ == "__main__": 2022-11-23T01:37:54.7849894Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.7850015Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.7850217Z arg0_1 = rand_strided((128, 1), (1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7850420Z arg1_1 = rand_strided((1, 128), (128, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7850626Z arg2_1 = rand_strided((128, 128), (128, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7850751Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:54.7850756Z 2022-11-23T01:37:54.7850820Z ok (1.435s) 2022-11-23T01:37:54.7851155Z test_gather1_cpu (__main__.CpuTests) ... [2022-11-23 01:32:08,119] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.7851420Z [2022-11-23 01:32:08,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.7851640Z [2022-11-23 01:32:08,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.7851893Z [2022-11-23 01:32:08,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.7852182Z [2022-11-23 01:32:08,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.7852551Z [2022-11-23 01:32:08,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.7852879Z [2022-11-23 01:32:08,120] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.7852975Z 1651 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.7853072Z 2 LOAD_METHOD 1 (gather) 2022-11-23T01:37:54.7853161Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7853241Z 6 LOAD_METHOD 2 (expand) 2022-11-23T01:37:54.7853328Z 8 LOAD_CONST 1 (4) 2022-11-23T01:37:54.7853412Z 10 LOAD_CONST 2 (5) 2022-11-23T01:37:54.7853503Z 12 LOAD_CONST 3 (10) 2022-11-23T01:37:54.7853588Z 14 LOAD_CONST 4 (6) 2022-11-23T01:37:54.7853678Z 16 BUILD_LIST 4 2022-11-23T01:37:54.7853763Z 18 CALL_METHOD 1 2022-11-23T01:37:54.7853839Z 20 LOAD_CONST 5 (3) 2022-11-23T01:37:54.7853920Z 22 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7854005Z 24 LOAD_CONST 6 (1) 2022-11-23T01:37:54.7854080Z 26 BINARY_ADD 2022-11-23T01:37:54.7854167Z 28 CALL_METHOD 3 2022-11-23T01:37:54.7854172Z 2022-11-23T01:37:54.7854264Z 1652 30 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.7854357Z 32 LOAD_METHOD 1 (gather) 2022-11-23T01:37:54.7854443Z 34 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7854526Z 36 LOAD_METHOD 2 (expand) 2022-11-23T01:37:54.7854612Z 38 LOAD_CONST 1 (4) 2022-11-23T01:37:54.7854697Z 40 LOAD_CONST 2 (5) 2022-11-23T01:37:54.7854789Z 42 LOAD_CONST 3 (10) 2022-11-23T01:37:54.7854874Z 44 LOAD_CONST 4 (6) 2022-11-23T01:37:54.7854959Z 46 BUILD_LIST 4 2022-11-23T01:37:54.7855045Z 48 CALL_METHOD 1 2022-11-23T01:37:54.7855174Z 50 LOAD_CONST 7 (-1) 2022-11-23T01:37:54.7855265Z 52 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7855351Z 54 LOAD_CONST 6 (1) 2022-11-23T01:37:54.7855424Z 56 BINARY_ADD 2022-11-23T01:37:54.7855508Z 58 CALL_METHOD 3 2022-11-23T01:37:54.7855595Z 60 BUILD_TUPLE 2 2022-11-23T01:37:54.7855671Z 62 RETURN_VALUE 2022-11-23T01:37:54.7855720Z 2022-11-23T01:37:54.7855725Z 2022-11-23T01:37:54.7855999Z [2022-11-23 01:32:08,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1651 2022-11-23T01:37:54.7856227Z [2022-11-23 01:32:08,120] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.7856598Z [2022-11-23 01:32:08,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gather [TorchVariable()] 2022-11-23T01:37:54.7856956Z [2022-11-23 01:32:08,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:54.7857319Z [2022-11-23 01:32:08,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.7857716Z [2022-11-23 01:32:08,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(), GetAttrVariable(TensorVariable(), expand)] 2022-11-23T01:37:54.7858152Z [2022-11-23 01:32:08,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TorchVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)] 2022-11-23T01:37:54.7858656Z [2022-11-23 01:32:08,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.7859415Z [2022-11-23 01:32:08,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TorchVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.7859960Z [2022-11-23 01:32:08,121] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 4 [TorchVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.7860390Z [2022-11-23 01:32:08,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), GetAttrVariable(TensorVariable(), expand), ListVariable()] 2022-11-23T01:37:54.7860746Z [2022-11-23 01:32:08,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.7861133Z [2022-11-23 01:32:08,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.7861541Z [2022-11-23 01:32:08,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:37:54.7862000Z [2022-11-23 01:32:08,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.7862430Z [2022-11-23 01:32:08,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:37:54.7862702Z [2022-11-23 01:32:08,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1652 2022-11-23T01:37:54.7862955Z [2022-11-23 01:32:08,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:37:54.7863359Z [2022-11-23 01:32:08,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gather [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.7863712Z [2022-11-23 01:32:08,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.7864153Z [2022-11-23 01:32:08,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.7864577Z [2022-11-23 01:32:08,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable(), TorchVariable(), GetAttrVariable(TensorVariable(), expand)] 2022-11-23T01:37:54.7865040Z [2022-11-23 01:32:08,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TensorVariable(), TorchVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)] 2022-11-23T01:37:54.7865534Z [2022-11-23 01:32:08,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TorchVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.7866110Z [2022-11-23 01:32:08,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TorchVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.7866686Z [2022-11-23 01:32:08,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 4 [TensorVariable(), TorchVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.7867141Z [2022-11-23 01:32:08,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(), GetAttrVariable(TensorVariable(), expand), ListVariable()] 2022-11-23T01:37:54.7867525Z [2022-11-23 01:32:08,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.7867941Z [2022-11-23 01:32:08,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.7868476Z [2022-11-23 01:32:08,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:37:54.7868969Z [2022-11-23 01:32:08,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.7869429Z [2022-11-23 01:32:08,128] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:37:54.7869692Z [2022-11-23 01:32:08,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7869943Z [2022-11-23 01:32:08,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7870281Z [2022-11-23 01:32:08,129] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.7870531Z [2022-11-23 01:32:08,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7870771Z [2022-11-23 01:32:08,129] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.7871028Z [2022-11-23 01:32:08,131] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.7871280Z [2022-11-23 01:32:08,136] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.7871507Z [2022-11-23 01:32:08,136] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.7871644Z __compiled_fn_181 .1550 opcode, name, target, args, kwargs 2022-11-23T01:37:54.7871722Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.7871808Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.7871915Z call_method, expand, expand, (ex_0_, [4, 5, 10, 6]), {} 2022-11-23T01:37:54.7872090Z call_function, add, , (ex_1_, 1), {} 2022-11-23T01:37:54.7872338Z call_function, gather, , (expand, 3, add), {} 2022-11-23T01:37:54.7872482Z call_method, expand_1, expand, (ex_0_, [4, 5, 10, 6]), {} 2022-11-23T01:37:54.7872659Z call_function, add_1, , (ex_1_, 1), {} 2022-11-23T01:37:54.7872912Z call_function, gather_1, , (expand_1, -1, add_1), {} 2022-11-23T01:37:54.7873012Z output, output, output, ((gather, gather_1),), {} 2022-11-23T01:37:54.7873018Z 2022-11-23T01:37:54.7873298Z [2022-11-23 01:32:08,137] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7873390Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.7873479Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7873570Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.7873659Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.7873734Z 8 RETURN_VALUE 2022-11-23T01:37:54.7873740Z 2022-11-23T01:37:54.7873800Z 2022-11-23T01:37:54.7874068Z [2022-11-23 01:32:08,137] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7874172Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_181) 2022-11-23T01:37:54.7874263Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7874351Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7874429Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.7874515Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7874600Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7874663Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.7874750Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.7874852Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7874951Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7875038Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7875116Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.7875215Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7875291Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7875365Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.7875451Z 30 BUILD_TUPLE 2 2022-11-23T01:37:54.7875526Z 32 RETURN_VALUE 2022-11-23T01:37:54.7875533Z 2022-11-23T01:37:54.7875593Z 2022-11-23T01:37:54.7875779Z [2022-11-23 01:32:08,138] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.7875851Z - 2022-11-23T01:37:54.7875971Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.7876023Z { 2022-11-23T01:37:54.7876164Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.7876356Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.7876477Z 'obj_weakref': None 2022-11-23T01:37:54.7876703Z 'guarded_class': 2022-11-23T01:37:54.7876769Z } 2022-11-23T01:37:54.7876831Z 2022-11-23T01:37:54.7876889Z - 2022-11-23T01:37:54.7877017Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.7877083Z { 2022-11-23T01:37:54.7877228Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7877367Z 'code': None, 2022-11-23T01:37:54.7877585Z 'obj_weakref': 2022-11-23T01:37:54.7877842Z 'guarded_class': 2022-11-23T01:37:54.7877895Z } 2022-11-23T01:37:54.7877958Z 2022-11-23T01:37:54.7878027Z - 2022-11-23T01:37:54.7878154Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.7878216Z { 2022-11-23T01:37:54.7878361Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7878460Z 'code': None, 2022-11-23T01:37:54.7878704Z 'obj_weakref': 2022-11-23T01:37:54.7878953Z 'guarded_class': 2022-11-23T01:37:54.7879016Z } 2022-11-23T01:37:54.7879076Z 2022-11-23T01:37:54.7879147Z - 2022-11-23T01:37:54.7879285Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.7879346Z { 2022-11-23T01:37:54.7879469Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.7879640Z 'code': ['___check_obj_id(model, 140539049006432)'], 2022-11-23T01:37:54.7879761Z 'obj_weakref': None 2022-11-23T01:37:54.7879994Z 'guarded_class': 2022-11-23T01:37:54.7880055Z } 2022-11-23T01:37:54.7880117Z 2022-11-23T01:37:54.7880186Z - 2022-11-23T01:37:54.7880299Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.7880362Z { 2022-11-23T01:37:54.7880498Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.7880716Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.7880836Z 'obj_weakref': None 2022-11-23T01:37:54.7881060Z 'guarded_class': 2022-11-23T01:37:54.7881123Z } 2022-11-23T01:37:54.7881172Z 2022-11-23T01:37:54.7881243Z - 2022-11-23T01:37:54.7881377Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.7881439Z { 2022-11-23T01:37:54.7881557Z 'guard_types': None, 2022-11-23T01:37:54.7881664Z 'code': None, 2022-11-23T01:37:54.7881771Z 'obj_weakref': None 2022-11-23T01:37:54.7881895Z 'guarded_class': None 2022-11-23T01:37:54.7881957Z } 2022-11-23T01:37:54.7882022Z 2022-11-23T01:37:54.7882285Z [2022-11-23 01:32:08,148] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 180 2022-11-23T01:37:54.7882663Z [2022-11-23 01:32:09,535] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ql/cqldctdqgy7b3ghuts3766nrsjbzmzclzgyrrdcjpjeb2tgaajep.py 2022-11-23T01:37:54.7882935Z [2022-11-23 01:32:09,535] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 180 2022-11-23T01:37:54.7882941Z 2022-11-23T01:37:54.7883035Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.7883090Z import torch 2022-11-23T01:37:54.7883158Z import random 2022-11-23T01:37:54.7883274Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.7883395Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.7883400Z 2022-11-23T01:37:54.7883478Z aten = torch.ops.aten 2022-11-23T01:37:54.7883614Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.7883708Z async_compile = AsyncCompile() 2022-11-23T01:37:54.7883714Z 2022-11-23T01:37:54.7883718Z 2022-11-23T01:37:54.7883854Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.7884049Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.7884172Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:37:54.7884309Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.7884412Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.7884509Z float* __restrict__ out_ptr1) 2022-11-23T01:37:54.7884572Z { 2022-11-23T01:37:54.7884650Z #pragma GCC ivdep 2022-11-23T01:37:54.7884718Z for(long i0=0; i0<20; i0+=1) 2022-11-23T01:37:54.7884781Z { 2022-11-23T01:37:54.7884860Z #pragma GCC ivdep 2022-11-23T01:37:54.7884944Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:37:54.7885007Z { 2022-11-23T01:37:54.7885071Z { 2022-11-23T01:37:54.7885166Z { 2022-11-23T01:37:54.7885253Z auto tmp0 = in_ptr0[i1 + (10*i0)]; 2022-11-23T01:37:54.7885355Z auto tmp1 = static_cast(1); 2022-11-23T01:37:54.7885447Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.7885547Z auto tmp3 = in_ptr1[tmp2 + (6*i1)]; 2022-11-23T01:37:54.7885642Z out_ptr0[i1 + (10*i0)] = tmp3; 2022-11-23T01:37:54.7885731Z out_ptr1[i1 + (10*i0)] = tmp3; 2022-11-23T01:37:54.7885797Z } 2022-11-23T01:37:54.7885847Z } 2022-11-23T01:37:54.7885912Z } 2022-11-23T01:37:54.7885973Z } 2022-11-23T01:37:54.7886033Z } 2022-11-23T01:37:54.7886116Z ''') 2022-11-23T01:37:54.7886121Z 2022-11-23T01:37:54.7886125Z 2022-11-23T01:37:54.7886216Z async_compile.wait(globals()) 2022-11-23T01:37:54.7886287Z del async_compile 2022-11-23T01:37:54.7886293Z 2022-11-23T01:37:54.7886350Z def call(args): 2022-11-23T01:37:54.7886430Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.7886501Z args.clear() 2022-11-23T01:37:54.7886720Z buf0 = empty_strided((4, 5, 10, 1), (50, 10, 1, 200), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7886940Z buf1 = empty_strided((4, 5, 10, 1), (50, 10, 1, 200), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7887133Z kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:54.7887201Z del arg0_1 2022-11-23T01:37:54.7887268Z del arg1_1 2022-11-23T01:37:54.7887332Z return (buf0, buf1, ) 2022-11-23T01:37:54.7887337Z 2022-11-23T01:37:54.7887342Z 2022-11-23T01:37:54.7887418Z if __name__ == "__main__": 2022-11-23T01:37:54.7887532Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.7887654Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.7887873Z arg0_1 = rand_strided((1, 1, 10, 6), (60, 60, 6, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7888091Z arg1_1 = rand_strided((4, 5, 10, 1), (50, 10, 1, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7888206Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.7888211Z 2022-11-23T01:37:54.7888278Z ok (1.424s) 2022-11-23T01:37:54.7888379Z test_gather2_cpu (__main__.CpuTests) ... ok (0.002s) 2022-11-23T01:37:54.7888706Z test_gather_scatter_cpu (__main__.CpuTests) ... [2022-11-23 01:32:09,545] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.7888983Z [2022-11-23 01:32:09,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.7889205Z [2022-11-23 01:32:09,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.7889462Z [2022-11-23 01:32:09,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.7889749Z [2022-11-23 01:32:09,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.7890077Z [2022-11-23 01:32:09,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.7890439Z [2022-11-23 01:32:09,546] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.7890542Z 2377 0 LOAD_FAST 0 (node_feat) 2022-11-23T01:37:54.7890629Z 2 LOAD_FAST 1 (edge_index) 2022-11-23T01:37:54.7890717Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7890791Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.7890867Z 8 BINARY_SUBSCR 2022-11-23T01:37:54.7890970Z 10 STORE_FAST 2 (src_node_feat) 2022-11-23T01:37:54.7890975Z 2022-11-23T01:37:54.7891069Z 2378 12 LOAD_FAST 0 (node_feat) 2022-11-23T01:37:54.7891195Z 14 LOAD_FAST 1 (edge_index) 2022-11-23T01:37:54.7891284Z 16 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7891348Z 18 BINARY_SUBSCR 2022-11-23T01:37:54.7891421Z 20 BINARY_SUBSCR 2022-11-23T01:37:54.7891521Z 22 STORE_FAST 3 (dst_node_feat) 2022-11-23T01:37:54.7891526Z 2022-11-23T01:37:54.7891627Z 2379 24 LOAD_FAST 2 (src_node_feat) 2022-11-23T01:37:54.7891724Z 26 LOAD_FAST 3 (dst_node_feat) 2022-11-23T01:37:54.7891803Z 28 BINARY_SUBTRACT 2022-11-23T01:37:54.7891891Z 30 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7891951Z 32 BINARY_ADD 2022-11-23T01:37:54.7892046Z 34 STORE_FAST 4 (edge_feat) 2022-11-23T01:37:54.7892050Z 2022-11-23T01:37:54.7892142Z 2380 36 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.7892238Z 38 LOAD_METHOD 1 (zeros_like) 2022-11-23T01:37:54.7892333Z 40 LOAD_FAST 0 (node_feat) 2022-11-23T01:37:54.7892418Z 42 CALL_METHOD 1 2022-11-23T01:37:54.7892517Z 44 STORE_FAST 5 (new_node_feat) 2022-11-23T01:37:54.7892522Z 2022-11-23T01:37:54.7892618Z 2381 46 LOAD_FAST 5 (new_node_feat) 2022-11-23T01:37:54.7892710Z 48 LOAD_METHOD 2 (scatter_add_) 2022-11-23T01:37:54.7892714Z 2022-11-23T01:37:54.7892802Z 2382 50 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7892897Z 52 LOAD_FAST 1 (edge_index) 2022-11-23T01:37:54.7892983Z 54 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7893059Z 56 BINARY_SUBSCR 2022-11-23T01:37:54.7893156Z 58 LOAD_METHOD 3 (unsqueeze) 2022-11-23T01:37:54.7893297Z 60 LOAD_CONST 3 (-1) 2022-11-23T01:37:54.7893386Z 62 CALL_METHOD 1 2022-11-23T01:37:54.7893476Z 64 LOAD_METHOD 4 (expand_as) 2022-11-23T01:37:54.7893572Z 66 LOAD_FAST 4 (edge_feat) 2022-11-23T01:37:54.7893658Z 68 CALL_METHOD 1 2022-11-23T01:37:54.7893749Z 70 LOAD_FAST 4 (edge_feat) 2022-11-23T01:37:54.7893840Z 72 CALL_METHOD 3 2022-11-23T01:37:54.7893913Z 74 POP_TOP 2022-11-23T01:37:54.7893917Z 2022-11-23T01:37:54.7894015Z 2384 76 LOAD_FAST 5 (new_node_feat) 2022-11-23T01:37:54.7894078Z 78 RETURN_VALUE 2022-11-23T01:37:54.7894137Z 2022-11-23T01:37:54.7894142Z 2022-11-23T01:37:54.7894416Z [2022-11-23 01:32:09,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2377 2022-11-23T01:37:54.7894641Z [2022-11-23 01:32:09,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST node_feat [] 2022-11-23T01:37:54.7894899Z [2022-11-23 01:32:09,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST edge_index [TensorVariable()] 2022-11-23T01:37:54.7895168Z [2022-11-23 01:32:09,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7895518Z [2022-11-23 01:32:09,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.7895802Z [2022-11-23 01:32:09,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7896061Z [2022-11-23 01:32:09,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST src_node_feat [TensorVariable()] 2022-11-23T01:37:54.7896316Z [2022-11-23 01:32:09,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2378 2022-11-23T01:37:54.7896536Z [2022-11-23 01:32:09,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST node_feat [] 2022-11-23T01:37:54.7896832Z [2022-11-23 01:32:09,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST edge_index [TensorVariable()] 2022-11-23T01:37:54.7897098Z [2022-11-23 01:32:09,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7897414Z [2022-11-23 01:32:09,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.7897691Z [2022-11-23 01:32:09,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7897951Z [2022-11-23 01:32:09,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST dst_node_feat [TensorVariable()] 2022-11-23T01:37:54.7898218Z [2022-11-23 01:32:09,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2379 2022-11-23T01:37:54.7898448Z [2022-11-23 01:32:09,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST src_node_feat [] 2022-11-23T01:37:54.7898703Z [2022-11-23 01:32:09,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dst_node_feat [TensorVariable()] 2022-11-23T01:37:54.7899179Z [2022-11-23 01:32:09,551] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7899429Z [2022-11-23 01:32:09,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:37:54.7899711Z [2022-11-23 01:32:09,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.7899962Z [2022-11-23 01:32:09,552] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST edge_feat [TensorVariable()] 2022-11-23T01:37:54.7900232Z [2022-11-23 01:32:09,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2380 2022-11-23T01:37:54.7900450Z [2022-11-23 01:32:09,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.7900825Z [2022-11-23 01:32:09,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros_like [TorchVariable()] 2022-11-23T01:37:54.7901174Z [2022-11-23 01:32:09,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST node_feat [TorchVariable()] 2022-11-23T01:37:54.7901539Z [2022-11-23 01:32:09,553] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.7901799Z [2022-11-23 01:32:09,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST new_node_feat [TensorVariable()] 2022-11-23T01:37:54.7902054Z [2022-11-23 01:32:09,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2381 2022-11-23T01:37:54.7902283Z [2022-11-23 01:32:09,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST new_node_feat [] 2022-11-23T01:37:54.7902539Z [2022-11-23 01:32:09,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter_add_ [TensorVariable()] 2022-11-23T01:37:54.7902805Z [2022-11-23 01:32:09,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2382 2022-11-23T01:37:54.7903154Z [2022-11-23 01:32:09,554] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [GetAttrVariable(TensorVariable(), scatter_add_)] 2022-11-23T01:37:54.7903495Z [2022-11-23 01:32:09,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST edge_index [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int)] 2022-11-23T01:37:54.7903849Z [2022-11-23 01:32:09,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable()] 2022-11-23T01:37:54.7904252Z [2022-11-23 01:32:09,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.7904657Z [2022-11-23 01:32:09,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable()] 2022-11-23T01:37:54.7905064Z [2022-11-23 01:32:09,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), GetAttrVariable(TensorVariable(), unsqueeze)] 2022-11-23T01:37:54.7905508Z [2022-11-23 01:32:09,556] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), GetAttrVariable(TensorVariable(), unsqueeze), ConstantVariable(int)] 2022-11-23T01:37:54.7905874Z [2022-11-23 01:32:09,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand_as [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable()] 2022-11-23T01:37:54.7906275Z [2022-11-23 01:32:09,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST edge_feat [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), GetAttrVariable(TensorVariable(), expand_as)] 2022-11-23T01:37:54.7906713Z [2022-11-23 01:32:09,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), GetAttrVariable(TensorVariable(), expand_as), TensorVariable()] 2022-11-23T01:37:54.7907074Z [2022-11-23 01:32:09,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST edge_feat [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable()] 2022-11-23T01:37:54.7907459Z [2022-11-23 01:32:09,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [GetAttrVariable(TensorVariable(), scatter_add_), ConstantVariable(int), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7907703Z [2022-11-23 01:32:09,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()] 2022-11-23T01:37:54.7907975Z [2022-11-23 01:32:09,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2384 2022-11-23T01:37:54.7908291Z [2022-11-23 01:32:09,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST new_node_feat [] 2022-11-23T01:37:54.7908552Z [2022-11-23 01:32:09,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.7908887Z [2022-11-23 01:32:09,559] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.7909138Z [2022-11-23 01:32:09,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.7909373Z [2022-11-23 01:32:09,559] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.7909616Z [2022-11-23 01:32:09,560] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.7909872Z [2022-11-23 01:32:09,568] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.7910063Z [2022-11-23 01:32:09,568] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.7910197Z __compiled_fn_182 .1556 opcode, name, target, args, kwargs 2022-11-23T01:37:54.7910356Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.7910447Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.7910636Z call_function, getitem, , (ex_1_, 0), {} 2022-11-23T01:37:54.7910835Z call_function, getitem_1, , (ex_0_, getitem), {} 2022-11-23T01:37:54.7911012Z call_function, getitem_2, , (ex_1_, 1), {} 2022-11-23T01:37:54.7911217Z call_function, getitem_3, , (ex_0_, getitem_2), {} 2022-11-23T01:37:54.7911410Z call_function, sub, , (getitem_1, getitem_3), {} 2022-11-23T01:37:54.7911612Z call_function, add, , (sub, 1), {} 2022-11-23T01:37:54.7911863Z call_function, zeros_like, , (ex_0_,), {} 2022-11-23T01:37:54.7912051Z call_function, getitem_4, , (ex_1_, 1), {} 2022-11-23T01:37:54.7912220Z call_method, unsqueeze, unsqueeze, (getitem_4, -1), {} 2022-11-23T01:37:54.7912343Z call_method, expand_as, expand_as, (unsqueeze, add), {} 2022-11-23T01:37:54.7912470Z call_method, scatter_add_, scatter_add_, (zeros_like, 0, expand_as, add), {} 2022-11-23T01:37:54.7912574Z output, output, output, ((zeros_like,),), {} 2022-11-23T01:37:54.7912580Z 2022-11-23T01:37:54.7912860Z [2022-11-23 01:32:09,569] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7912953Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.7913043Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7913138Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.7913229Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.7913307Z 8 RETURN_VALUE 2022-11-23T01:37:54.7913312Z 2022-11-23T01:37:54.7913362Z 2022-11-23T01:37:54.7913640Z [2022-11-23 01:32:09,569] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7913746Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_182) 2022-11-23T01:37:54.7913833Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7913920Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7913994Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.7914079Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7914153Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7914230Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.7914317Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.7914408Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.7914480Z 18 RETURN_VALUE 2022-11-23T01:37:54.7914485Z 2022-11-23T01:37:54.7914543Z 2022-11-23T01:37:54.7914725Z [2022-11-23 01:32:09,569] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.7914783Z - 2022-11-23T01:37:54.7914904Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.7914967Z { 2022-11-23T01:37:54.7915109Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.7915300Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.7915419Z 'obj_weakref': None 2022-11-23T01:37:54.7915645Z 'guarded_class': 2022-11-23T01:37:54.7915708Z } 2022-11-23T01:37:54.7915757Z 2022-11-23T01:37:54.7915826Z - 2022-11-23T01:37:54.7915952Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.7916014Z { 2022-11-23T01:37:54.7916161Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7916269Z 'code': None, 2022-11-23T01:37:54.7916470Z 'obj_weakref': 2022-11-23T01:37:54.7916729Z 'guarded_class': 2022-11-23T01:37:54.7916824Z } 2022-11-23T01:37:54.7916889Z 2022-11-23T01:37:54.7916959Z - 2022-11-23T01:37:54.7917083Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.7917145Z { 2022-11-23T01:37:54.7917277Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7917387Z 'code': None, 2022-11-23T01:37:54.7917600Z 'obj_weakref': 2022-11-23T01:37:54.7917856Z 'guarded_class': 2022-11-23T01:37:54.7917948Z } 2022-11-23T01:37:54.7918010Z 2022-11-23T01:37:54.7918079Z - 2022-11-23T01:37:54.7918199Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.7918261Z { 2022-11-23T01:37:54.7918396Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.7918566Z 'code': ['___check_obj_id(model, 140539049006432)'], 2022-11-23T01:37:54.7918687Z 'obj_weakref': None 2022-11-23T01:37:54.7918916Z 'guarded_class': 2022-11-23T01:37:54.7918977Z } 2022-11-23T01:37:54.7919037Z 2022-11-23T01:37:54.7919094Z - 2022-11-23T01:37:54.7919214Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.7919275Z { 2022-11-23T01:37:54.7919411Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.7919633Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.7919756Z 'obj_weakref': None 2022-11-23T01:37:54.7919978Z 'guarded_class': 2022-11-23T01:37:54.7920031Z } 2022-11-23T01:37:54.7920093Z 2022-11-23T01:37:54.7920163Z - 2022-11-23T01:37:54.7920297Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.7920364Z { 2022-11-23T01:37:54.7920486Z 'guard_types': None, 2022-11-23T01:37:54.7920581Z 'code': None, 2022-11-23T01:37:54.7920698Z 'obj_weakref': None 2022-11-23T01:37:54.7920820Z 'guarded_class': None 2022-11-23T01:37:54.7920884Z } 2022-11-23T01:37:54.7920946Z 2022-11-23T01:37:54.7921208Z [2022-11-23 01:32:09,583] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 181 2022-11-23T01:37:54.7921582Z [2022-11-23 01:32:11,004] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lc/clcjwknrkgbwljk6i4mm2kh6zybebuny5hmkmkzgpcrwujc5chgc.py 2022-11-23T01:37:54.7921850Z [2022-11-23 01:32:11,004] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 181 2022-11-23T01:37:54.7921855Z 2022-11-23T01:37:54.7921935Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.7922003Z import torch 2022-11-23T01:37:54.7922071Z import random 2022-11-23T01:37:54.7922187Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.7922306Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.7922312Z 2022-11-23T01:37:54.7922387Z aten = torch.ops.aten 2022-11-23T01:37:54.7922519Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.7922599Z async_compile = AsyncCompile() 2022-11-23T01:37:54.7922616Z 2022-11-23T01:37:54.7922621Z 2022-11-23T01:37:54.7922745Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.7922949Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.7923069Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:37:54.7923172Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.7923270Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.7923331Z { 2022-11-23T01:37:54.7923411Z for(long i0=0; i0<64; i0+=1) 2022-11-23T01:37:54.7923459Z { 2022-11-23T01:37:54.7923629Z auto tmp0 = at::vec::Vectorized(static_cast(0)); 2022-11-23T01:37:54.7923721Z tmp0.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.7923782Z } 2022-11-23T01:37:54.7923869Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.7923948Z for(long i0=512; i0<512; i0+=1) 2022-11-23T01:37:54.7924007Z { 2022-11-23T01:37:54.7924090Z auto tmp0 = static_cast(0); 2022-11-23T01:37:54.7924167Z out_ptr0[i0] = tmp0; 2022-11-23T01:37:54.7924226Z } 2022-11-23T01:37:54.7924300Z #pragma GCC ivdep 2022-11-23T01:37:54.7924377Z for(long i0=0; i0<80; i0+=1) 2022-11-23T01:37:54.7924466Z { 2022-11-23T01:37:54.7924541Z #pragma GCC ivdep 2022-11-23T01:37:54.7924609Z for(long i1=0; i1<32; i1+=1) 2022-11-23T01:37:54.7924670Z { 2022-11-23T01:37:54.7924732Z { 2022-11-23T01:37:54.7924794Z { 2022-11-23T01:37:54.7924887Z auto tmp0 = in_ptr0[80 + i0]; 2022-11-23T01:37:54.7924978Z auto tmp1 = in_ptr0[i0]; 2022-11-23T01:37:54.7925077Z auto tmp2 = in_ptr1[i1 + (32*tmp1)]; 2022-11-23T01:37:54.7925163Z auto tmp3 = in_ptr1[i1 + (32*tmp0)]; 2022-11-23T01:37:54.7925300Z auto tmp4 = tmp2 - tmp3; 2022-11-23T01:37:54.7925402Z auto tmp5 = static_cast(1); 2022-11-23T01:37:54.7925489Z auto tmp6 = tmp4 + tmp5; 2022-11-23T01:37:54.7925585Z out_ptr0[i1 + (32*tmp0)] += tmp6; 2022-11-23T01:37:54.7925648Z } 2022-11-23T01:37:54.7925709Z } 2022-11-23T01:37:54.7925761Z } 2022-11-23T01:37:54.7925823Z } 2022-11-23T01:37:54.7925881Z } 2022-11-23T01:37:54.7925960Z ''') 2022-11-23T01:37:54.7925965Z 2022-11-23T01:37:54.7925969Z 2022-11-23T01:37:54.7926060Z async_compile.wait(globals()) 2022-11-23T01:37:54.7926129Z del async_compile 2022-11-23T01:37:54.7926134Z 2022-11-23T01:37:54.7926204Z def call(args): 2022-11-23T01:37:54.7926270Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.7926341Z args.clear() 2022-11-23T01:37:54.7926544Z buf0 = empty_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7926710Z kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.7926779Z del arg0_1 2022-11-23T01:37:54.7926846Z del arg1_1 2022-11-23T01:37:54.7926917Z return (buf0, ) 2022-11-23T01:37:54.7926921Z 2022-11-23T01:37:54.7926925Z 2022-11-23T01:37:54.7926988Z if __name__ == "__main__": 2022-11-23T01:37:54.7927104Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.7927232Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.7927439Z arg0_1 = rand_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7927640Z arg1_1 = rand_strided((2, 80), (80, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.7927762Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.7927767Z 2022-11-23T01:37:54.7927834Z ok (1.467s) 2022-11-23T01:37:54.7928141Z test_gelu_cpu (__main__.CpuTests) ... [2022-11-23 01:32:11,012] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.7928400Z [2022-11-23 01:32:11,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.7928628Z [2022-11-23 01:32:11,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.7928884Z [2022-11-23 01:32:11,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.7929177Z [2022-11-23 01:32:11,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.7935614Z [2022-11-23 01:32:11,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.7936025Z [2022-11-23 01:32:11,013] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.7936127Z 2439 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.7936221Z 2 LOAD_METHOD 1 (gelu) 2022-11-23T01:37:54.7936310Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:54.7936400Z 6 CALL_METHOD 1 2022-11-23T01:37:54.7936488Z 8 LOAD_CONST 1 (2) 2022-11-23T01:37:54.7936562Z 10 BINARY_ADD 2022-11-23T01:37:54.7936681Z 12 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.7936770Z 14 LOAD_METHOD 1 (gelu) 2022-11-23T01:37:54.7936859Z 16 LOAD_FAST 0 (x) 2022-11-23T01:37:54.7936947Z 18 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7937018Z 20 BINARY_ADD 2022-11-23T01:37:54.7937108Z 22 CALL_METHOD 1 2022-11-23T01:37:54.7937195Z 24 BUILD_TUPLE 2 2022-11-23T01:37:54.7937258Z 26 RETURN_VALUE 2022-11-23T01:37:54.7937318Z 2022-11-23T01:37:54.7937324Z 2022-11-23T01:37:54.7937602Z [2022-11-23 01:32:11,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2439 2022-11-23T01:37:54.7937824Z [2022-11-23 01:32:11,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.7938135Z [2022-11-23 01:32:11,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gelu [TorchVariable()] 2022-11-23T01:37:54.7938396Z [2022-11-23 01:32:11,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.gelu)] 2022-11-23T01:37:54.7938687Z [2022-11-23 01:32:11,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.gelu), TensorVariable()] 2022-11-23T01:37:54.7939162Z [2022-11-23 01:32:11,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:37:54.7939454Z [2022-11-23 01:32:11,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.7939690Z [2022-11-23 01:32:11,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:54.7940023Z [2022-11-23 01:32:11,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gelu [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.7940303Z [2022-11-23 01:32:11,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.gelu)] 2022-11-23T01:37:54.7940617Z [2022-11-23 01:32:11,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.gelu), TensorVariable()] 2022-11-23T01:37:54.7940974Z [2022-11-23 01:32:11,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.gelu), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.7941291Z [2022-11-23 01:32:11,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.gelu), TensorVariable()] 2022-11-23T01:37:54.7941560Z [2022-11-23 01:32:11,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7941807Z [2022-11-23 01:32:11,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7942142Z [2022-11-23 01:32:11,031] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.7942393Z [2022-11-23 01:32:11,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7942619Z [2022-11-23 01:32:11,031] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.7942935Z [2022-11-23 01:32:11,032] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.7943196Z [2022-11-23 01:32:11,037] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.7943387Z [2022-11-23 01:32:11,038] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.7943523Z __compiled_fn_183 .1562 opcode, name, target, args, kwargs 2022-11-23T01:37:54.7943614Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.7943718Z call_function, gelu, aten.gelu, (ex_0_,), {} 2022-11-23T01:37:54.7943938Z call_function, add, , (gelu, 2), {} 2022-11-23T01:37:54.7944103Z call_function, add_1, , (ex_0_, 1), {} 2022-11-23T01:37:54.7944207Z call_function, gelu_1, aten.gelu, (add_1,), {} 2022-11-23T01:37:54.7944311Z output, output, output, ((add, gelu_1),), {} 2022-11-23T01:37:54.7944316Z 2022-11-23T01:37:54.7944601Z [2022-11-23 01:32:11,038] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7944695Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.7944785Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7944876Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.7944964Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.7945027Z 8 RETURN_VALUE 2022-11-23T01:37:54.7945033Z 2022-11-23T01:37:54.7945094Z 2022-11-23T01:37:54.7945372Z [2022-11-23 01:32:11,038] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7945483Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_183) 2022-11-23T01:37:54.7945573Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7945661Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7945737Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.7945814Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.7945919Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7946019Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7946111Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7946185Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.7946284Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7946371Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7946446Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.7946520Z 24 BUILD_TUPLE 2 2022-11-23T01:37:54.7946596Z 26 RETURN_VALUE 2022-11-23T01:37:54.7946601Z 2022-11-23T01:37:54.7946660Z 2022-11-23T01:37:54.7946845Z [2022-11-23 01:32:11,039] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.7946917Z - 2022-11-23T01:37:54.7947037Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.7947102Z { 2022-11-23T01:37:54.7947235Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.7947425Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.7947545Z 'obj_weakref': None 2022-11-23T01:37:54.7947770Z 'guarded_class': 2022-11-23T01:37:54.7947834Z } 2022-11-23T01:37:54.7947894Z 2022-11-23T01:37:54.7947964Z - 2022-11-23T01:37:54.7948078Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.7948221Z { 2022-11-23T01:37:54.7948378Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7948489Z 'code': None, 2022-11-23T01:37:54.7948706Z 'obj_weakref': 2022-11-23T01:37:54.7948964Z 'guarded_class': 2022-11-23T01:37:54.7949063Z } 2022-11-23T01:37:54.7949116Z 2022-11-23T01:37:54.7949187Z - 2022-11-23T01:37:54.7949321Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.7949385Z { 2022-11-23T01:37:54.7949522Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.7949694Z 'code': ['___check_obj_id(model, 140539049022960)'], 2022-11-23T01:37:54.7949818Z 'obj_weakref': None 2022-11-23T01:37:54.7950036Z 'guarded_class': 2022-11-23T01:37:54.7950098Z } 2022-11-23T01:37:54.7950207Z 2022-11-23T01:37:54.7950279Z - 2022-11-23T01:37:54.7950402Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.7950464Z { 2022-11-23T01:37:54.7950600Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.7950806Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.7950928Z 'obj_weakref': None 2022-11-23T01:37:54.7951152Z 'guarded_class': 2022-11-23T01:37:54.7951215Z } 2022-11-23T01:37:54.7951277Z 2022-11-23T01:37:54.7951348Z - 2022-11-23T01:37:54.7951481Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.7951532Z { 2022-11-23T01:37:54.7951653Z 'guard_types': None, 2022-11-23T01:37:54.7951763Z 'code': None, 2022-11-23T01:37:54.7951882Z 'obj_weakref': None 2022-11-23T01:37:54.7952008Z 'guarded_class': None 2022-11-23T01:37:54.7952071Z } 2022-11-23T01:37:54.7952122Z 2022-11-23T01:37:54.7952386Z [2022-11-23 01:32:11,054] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 182 2022-11-23T01:37:54.7952762Z [2022-11-23 01:32:12,420] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gc/cgctcpef276qf2lsmwkjw6klo7z46djkhdmymt6ehu6am5myuieh.py 2022-11-23T01:37:54.7953032Z [2022-11-23 01:32:12,420] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 182 2022-11-23T01:37:54.7953039Z 2022-11-23T01:37:54.7953135Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.7953204Z import torch 2022-11-23T01:37:54.7953273Z import random 2022-11-23T01:37:54.7953386Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.7953494Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.7953511Z 2022-11-23T01:37:54.7953575Z aten = torch.ops.aten 2022-11-23T01:37:54.7953711Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.7953801Z async_compile = AsyncCompile() 2022-11-23T01:37:54.7953806Z 2022-11-23T01:37:54.7953810Z 2022-11-23T01:37:54.7953946Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.7954151Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.7954271Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.7954370Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.7954465Z float* __restrict__ out_ptr1) 2022-11-23T01:37:54.7954513Z { 2022-11-23T01:37:54.7954589Z #pragma GCC ivdep 2022-11-23T01:37:54.7954670Z for(long i0=0; i0<256; i0+=1) 2022-11-23T01:37:54.7954732Z { 2022-11-23T01:37:54.7954794Z { 2022-11-23T01:37:54.7954856Z { 2022-11-23T01:37:54.7954931Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.7955032Z auto tmp1 = static_cast(0.5); 2022-11-23T01:37:54.7955121Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:54.7955232Z auto tmp3 = static_cast(0.7071067811865476); 2022-11-23T01:37:54.7955318Z auto tmp4 = tmp0 * tmp3; 2022-11-23T01:37:54.7955424Z auto tmp5 = std::erf(tmp4); 2022-11-23T01:37:54.7955557Z auto tmp6 = static_cast(1); 2022-11-23T01:37:54.7955632Z auto tmp7 = tmp5 + tmp6; 2022-11-23T01:37:54.7955718Z auto tmp8 = tmp2 * tmp7; 2022-11-23T01:37:54.7955816Z auto tmp9 = static_cast(2); 2022-11-23T01:37:54.7955899Z auto tmp10 = tmp8 + tmp9; 2022-11-23T01:37:54.7955986Z auto tmp11 = tmp0 + tmp6; 2022-11-23T01:37:54.7956074Z auto tmp12 = tmp11 * tmp1; 2022-11-23T01:37:54.7956162Z auto tmp13 = tmp11 * tmp3; 2022-11-23T01:37:54.7956257Z auto tmp14 = std::erf(tmp13); 2022-11-23T01:37:54.7956364Z auto tmp15 = tmp14 + tmp6; 2022-11-23T01:37:54.7956452Z auto tmp16 = tmp12 * tmp15; 2022-11-23T01:37:54.7956534Z out_ptr0[i0] = tmp10; 2022-11-23T01:37:54.7956614Z out_ptr1[i0] = tmp16; 2022-11-23T01:37:54.7956676Z } 2022-11-23T01:37:54.7956738Z } 2022-11-23T01:37:54.7956786Z } 2022-11-23T01:37:54.7956845Z } 2022-11-23T01:37:54.7956925Z ''') 2022-11-23T01:37:54.7956931Z 2022-11-23T01:37:54.7956935Z 2022-11-23T01:37:54.7957022Z async_compile.wait(globals()) 2022-11-23T01:37:54.7957092Z del async_compile 2022-11-23T01:37:54.7957097Z 2022-11-23T01:37:54.7957166Z def call(args): 2022-11-23T01:37:54.7957234Z arg0_1, = args 2022-11-23T01:37:54.7957303Z args.clear() 2022-11-23T01:37:54.7957494Z buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7957691Z buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7957862Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:54.7957931Z del arg0_1 2022-11-23T01:37:54.7958004Z return (buf0, buf1, ) 2022-11-23T01:37:54.7958009Z 2022-11-23T01:37:54.7958014Z 2022-11-23T01:37:54.7958089Z if __name__ == "__main__": 2022-11-23T01:37:54.7958200Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.7958323Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.7958512Z arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7958624Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.7958629Z 2022-11-23T01:37:54.7958694Z ok (1.416s) 2022-11-23T01:37:54.7958996Z test_glu_cpu (__main__.CpuTests) ... [2022-11-23 01:32:12,428] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.7959271Z [2022-11-23 01:32:12,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.7959494Z [2022-11-23 01:32:12,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.7959751Z [2022-11-23 01:32:12,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.7960043Z [2022-11-23 01:32:12,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.7960368Z [2022-11-23 01:32:12,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.7960687Z [2022-11-23 01:32:12,428] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.7960785Z 2545 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.7960878Z 2 LOAD_METHOD 1 (glu) 2022-11-23T01:37:54.7960968Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:54.7961111Z 6 LOAD_CONST 1 (-1) 2022-11-23T01:37:54.7961200Z 8 CALL_METHOD 2 2022-11-23T01:37:54.7961290Z 10 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.7961367Z 12 LOAD_METHOD 1 (glu) 2022-11-23T01:37:54.7961484Z 14 LOAD_FAST 0 (x) 2022-11-23T01:37:54.7961574Z 16 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7961662Z 18 CALL_METHOD 2 2022-11-23T01:37:54.7961752Z 20 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.7961839Z 22 LOAD_METHOD 1 (glu) 2022-11-23T01:37:54.7961926Z 24 LOAD_FAST 0 (x) 2022-11-23T01:37:54.7962011Z 26 LOAD_CONST 3 (2) 2022-11-23T01:37:54.7962086Z 28 CALL_METHOD 2 2022-11-23T01:37:54.7962172Z 30 BUILD_TUPLE 3 2022-11-23T01:37:54.7962279Z 32 RETURN_VALUE 2022-11-23T01:37:54.7962339Z 2022-11-23T01:37:54.7962344Z 2022-11-23T01:37:54.7962621Z [2022-11-23 01:32:12,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2545 2022-11-23T01:37:54.7962842Z [2022-11-23 01:32:12,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.7963152Z [2022-11-23 01:32:12,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR glu [TorchVariable()] 2022-11-23T01:37:54.7963407Z [2022-11-23 01:32:12,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.glu)] 2022-11-23T01:37:54.7963679Z [2022-11-23 01:32:12,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(aten.glu), TensorVariable()] 2022-11-23T01:37:54.7963999Z [2022-11-23 01:32:12,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.glu), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.7964249Z [2022-11-23 01:32:12,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:54.7964580Z [2022-11-23 01:32:12,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR glu [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.7964857Z [2022-11-23 01:32:12,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.glu)] 2022-11-23T01:37:54.7965166Z [2022-11-23 01:32:12,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.glu), TensorVariable()] 2022-11-23T01:37:54.7965517Z [2022-11-23 01:32:12,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.glu), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.7965794Z [2022-11-23 01:32:12,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7966156Z [2022-11-23 01:32:12,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR glu [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.7966459Z [2022-11-23 01:32:12,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(aten.glu)] 2022-11-23T01:37:54.7966794Z [2022-11-23 01:32:12,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.glu), TensorVariable()] 2022-11-23T01:37:54.7967159Z [2022-11-23 01:32:12,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.glu), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.7967459Z [2022-11-23 01:32:12,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7967711Z [2022-11-23 01:32:12,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7968047Z [2022-11-23 01:32:12,452] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.7968326Z [2022-11-23 01:32:12,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7968566Z [2022-11-23 01:32:12,452] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.7968824Z [2022-11-23 01:32:12,453] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.7969078Z [2022-11-23 01:32:12,459] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.7969269Z [2022-11-23 01:32:12,459] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.7969407Z __compiled_fn_184 .1568 opcode, name, target, args, kwargs 2022-11-23T01:37:54.7969515Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.7969664Z call_function, glu, aten.glu, (ex_0_, -1), {} 2022-11-23T01:37:54.7969773Z call_function, glu_1, aten.glu, (ex_0_, 1), {} 2022-11-23T01:37:54.7969873Z call_function, glu_2, aten.glu, (ex_0_, 2), {} 2022-11-23T01:37:54.7969971Z output, output, output, ((glu, glu_1, glu_2),), {} 2022-11-23T01:37:54.7969988Z 2022-11-23T01:37:54.7970255Z [2022-11-23 01:32:12,459] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7970349Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.7970437Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7970528Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.7970616Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.7970691Z 8 RETURN_VALUE 2022-11-23T01:37:54.7970696Z 2022-11-23T01:37:54.7970759Z 2022-11-23T01:37:54.7971023Z [2022-11-23 01:32:12,459] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.7971132Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_184) 2022-11-23T01:37:54.7971218Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.7971305Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7971381Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.7971467Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.7971570Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7971670Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7971746Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7971820Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.7971918Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7972004Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:54.7972080Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.7972177Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.7972266Z 26 LOAD_CONST 3 (2) 2022-11-23T01:37:54.7972328Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.7972416Z 30 BUILD_TUPLE 3 2022-11-23T01:37:54.7972489Z 32 RETURN_VALUE 2022-11-23T01:37:54.7972497Z 2022-11-23T01:37:54.7972559Z 2022-11-23T01:37:54.7972749Z [2022-11-23 01:32:12,460] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.7972823Z - 2022-11-23T01:37:54.7972947Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.7972999Z { 2022-11-23T01:37:54.7973145Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.7973341Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.7973464Z 'obj_weakref': None 2022-11-23T01:37:54.7973692Z 'guarded_class': 2022-11-23T01:37:54.7973760Z } 2022-11-23T01:37:54.7973823Z 2022-11-23T01:37:54.7973881Z - 2022-11-23T01:37:54.7974009Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.7974073Z { 2022-11-23T01:37:54.7974219Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.7974358Z 'code': None, 2022-11-23T01:37:54.7974578Z 'obj_weakref': 2022-11-23T01:37:54.7974838Z 'guarded_class': 2022-11-23T01:37:54.7974890Z } 2022-11-23T01:37:54.7974954Z 2022-11-23T01:37:54.7975025Z - 2022-11-23T01:37:54.7975159Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.7975223Z { 2022-11-23T01:37:54.7975360Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.7975532Z 'code': ['___check_obj_id(model, 140539097684880)'], 2022-11-23T01:37:54.7975672Z 'obj_weakref': None 2022-11-23T01:37:54.7975906Z 'guarded_class': 2022-11-23T01:37:54.7975971Z } 2022-11-23T01:37:54.7976036Z 2022-11-23T01:37:54.7976108Z - 2022-11-23T01:37:54.7976235Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.7976299Z { 2022-11-23T01:37:54.7976426Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.7976646Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.7976767Z 'obj_weakref': None 2022-11-23T01:37:54.7976991Z 'guarded_class': 2022-11-23T01:37:54.7977057Z } 2022-11-23T01:37:54.7977121Z 2022-11-23T01:37:54.7977194Z - 2022-11-23T01:37:54.7977319Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.7977385Z { 2022-11-23T01:37:54.7977508Z 'guard_types': None, 2022-11-23T01:37:54.7977618Z 'code': None, 2022-11-23T01:37:54.7977739Z 'obj_weakref': None 2022-11-23T01:37:54.7977861Z 'guarded_class': None 2022-11-23T01:37:54.7977924Z } 2022-11-23T01:37:54.7977975Z 2022-11-23T01:37:54.7978240Z [2022-11-23 01:32:12,468] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 183 2022-11-23T01:37:54.7978614Z [2022-11-23 01:32:13,905] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dh/cdhwfxhdld3su5ky3oeji6zwljwd3yds625hq755acvqbock6znb.py 2022-11-23T01:37:54.7979099Z [2022-11-23 01:32:13,906] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 183 2022-11-23T01:37:54.7979107Z 2022-11-23T01:37:54.7979208Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.7979281Z import torch 2022-11-23T01:37:54.7979350Z import random 2022-11-23T01:37:54.7979465Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.7979573Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.7979579Z 2022-11-23T01:37:54.7979656Z aten = torch.ops.aten 2022-11-23T01:37:54.7979790Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.7979882Z async_compile = AsyncCompile() 2022-11-23T01:37:54.7979887Z 2022-11-23T01:37:54.7979892Z 2022-11-23T01:37:54.7980030Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.7980231Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.7980351Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.7980449Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.7980533Z float* __restrict__ out_ptr1, 2022-11-23T01:37:54.7980625Z float* __restrict__ out_ptr2) 2022-11-23T01:37:54.7980689Z { 2022-11-23T01:37:54.7980765Z #pragma GCC ivdep 2022-11-23T01:37:54.7980845Z for(long i0=0; i0<1024; i0+=1) 2022-11-23T01:37:54.7980906Z { 2022-11-23T01:37:54.7980983Z #pragma GCC ivdep 2022-11-23T01:37:54.7981053Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:37:54.7981114Z { 2022-11-23T01:37:54.7981177Z { 2022-11-23T01:37:54.7981294Z { 2022-11-23T01:37:54.7981396Z auto tmp0 = in_ptr0[i1 + (8*i0)]; 2022-11-23T01:37:54.7981496Z auto tmp1 = in_ptr0[4 + i1 + (8*i0)]; 2022-11-23T01:37:54.7981642Z auto tmp2 = std::exp(-tmp1); 2022-11-23T01:37:54.7981733Z auto tmp3 = 1 / (1 + tmp2); 2022-11-23T01:37:54.7981822Z auto tmp4 = tmp0 * tmp3; 2022-11-23T01:37:54.7981913Z out_ptr0[i1 + (4*i0)] = tmp4; 2022-11-23T01:37:54.7981977Z } 2022-11-23T01:37:54.7982040Z } 2022-11-23T01:37:54.7982142Z } 2022-11-23T01:37:54.7982191Z } 2022-11-23T01:37:54.7982263Z #pragma GCC ivdep 2022-11-23T01:37:54.7982341Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:54.7982400Z { 2022-11-23T01:37:54.7982480Z for(long i1=0; i1<64; i1+=1) 2022-11-23T01:37:54.7982540Z { 2022-11-23T01:37:54.7982683Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (1024*i0)); 2022-11-23T01:37:54.7982818Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr0 + 512 + (8*i1) + (1024*i0)); 2022-11-23T01:37:54.7982951Z auto tmp2 = decltype(tmp1)(1)/(decltype(tmp1)(1) + tmp1.neg().exp()); 2022-11-23T01:37:54.7983033Z auto tmp3 = tmp0 * tmp2; 2022-11-23T01:37:54.7983134Z tmp3.store(out_ptr1 + (8*i1) + (512*i0)); 2022-11-23T01:37:54.7983195Z } 2022-11-23T01:37:54.7983282Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.7983365Z for(long i1=512; i1<512; i1+=1) 2022-11-23T01:37:54.7983427Z { 2022-11-23T01:37:54.7983512Z auto tmp0 = in_ptr0[i1 + (1024*i0)]; 2022-11-23T01:37:54.7983611Z auto tmp1 = in_ptr0[512 + i1 + (1024*i0)]; 2022-11-23T01:37:54.7983749Z auto tmp2 = std::exp(-tmp1); 2022-11-23T01:37:54.7983830Z auto tmp3 = 1 / (1 + tmp2); 2022-11-23T01:37:54.7983914Z auto tmp4 = tmp0 * tmp3; 2022-11-23T01:37:54.7984004Z out_ptr1[i1 + (512*i0)] = tmp4; 2022-11-23T01:37:54.7984067Z } 2022-11-23T01:37:54.7984115Z } 2022-11-23T01:37:54.7984188Z #pragma GCC ivdep 2022-11-23T01:37:54.7984267Z for(long i0=0; i0<128; i0+=1) 2022-11-23T01:37:54.7984326Z { 2022-11-23T01:37:54.7984404Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:37:54.7984463Z { 2022-11-23T01:37:54.7984590Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (64*i0)); 2022-11-23T01:37:54.7984729Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr0 + 32 + (8*i1) + (64*i0)); 2022-11-23T01:37:54.7984864Z auto tmp2 = decltype(tmp1)(1)/(decltype(tmp1)(1) + tmp1.neg().exp()); 2022-11-23T01:37:54.7984947Z auto tmp3 = tmp0 * tmp2; 2022-11-23T01:37:54.7985043Z tmp3.store(out_ptr2 + (8*i1) + (32*i0)); 2022-11-23T01:37:54.7985103Z } 2022-11-23T01:37:54.7985190Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.7985270Z for(long i1=32; i1<32; i1+=1) 2022-11-23T01:37:54.7985318Z { 2022-11-23T01:37:54.7985411Z auto tmp0 = in_ptr0[i1 + (64*i0)]; 2022-11-23T01:37:54.7985508Z auto tmp1 = in_ptr0[32 + i1 + (64*i0)]; 2022-11-23T01:37:54.7985645Z auto tmp2 = std::exp(-tmp1); 2022-11-23T01:37:54.7985724Z auto tmp3 = 1 / (1 + tmp2); 2022-11-23T01:37:54.7985806Z auto tmp4 = tmp0 * tmp3; 2022-11-23T01:37:54.7985892Z out_ptr2[i1 + (32*i0)] = tmp4; 2022-11-23T01:37:54.7985941Z } 2022-11-23T01:37:54.7986000Z } 2022-11-23T01:37:54.7986056Z } 2022-11-23T01:37:54.7986135Z ''') 2022-11-23T01:37:54.7986143Z 2022-11-23T01:37:54.7986147Z 2022-11-23T01:37:54.7986233Z async_compile.wait(globals()) 2022-11-23T01:37:54.7986304Z del async_compile 2022-11-23T01:37:54.7986309Z 2022-11-23T01:37:54.7986378Z def call(args): 2022-11-23T01:37:54.7986434Z arg0_1, = args 2022-11-23T01:37:54.7986503Z args.clear() 2022-11-23T01:37:54.7986749Z buf0 = empty_strided((8, 16, 8, 4), (512, 32, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7986965Z buf1 = empty_strided((8, 8, 8, 8), (512, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7987177Z buf2 = empty_strided((8, 16, 4, 8), (512, 32, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7987366Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:37:54.7987433Z del arg0_1 2022-11-23T01:37:54.7987517Z return (buf0, buf1, buf2, ) 2022-11-23T01:37:54.7987522Z 2022-11-23T01:37:54.7987526Z 2022-11-23T01:37:54.7987619Z if __name__ == "__main__": 2022-11-23T01:37:54.7987733Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.7987855Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.7988073Z arg0_1 = rand_strided((8, 16, 8, 8), (1024, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.7988259Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.7988265Z 2022-11-23T01:37:54.7988333Z ok (1.486s) 2022-11-23T01:37:54.7988660Z test_grid_sampler_2d_cpu (__main__.CpuTests) ... [2022-11-23 01:32:13,985] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.7988936Z [2022-11-23 01:32:13,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.7989157Z [2022-11-23 01:32:13,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.7989398Z [2022-11-23 01:32:13,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.7989688Z [2022-11-23 01:32:13,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.7990013Z [2022-11-23 01:32:13,985] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.7990348Z [2022-11-23 01:32:13,986] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.7990444Z 3055 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.7990551Z 2 LOAD_METHOD 1 (grid_sampler_2d) 2022-11-23T01:37:54.7990639Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7990726Z 6 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7990801Z 8 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7990889Z 10 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7990983Z 12 LOAD_CONST 2 (True) 2022-11-23T01:37:54.7991069Z 14 CALL_METHOD 5 2022-11-23T01:37:54.7991075Z 2022-11-23T01:37:54.7991165Z 3056 16 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.7991269Z 18 LOAD_METHOD 1 (grid_sampler_2d) 2022-11-23T01:37:54.7991356Z 20 LOAD_FAST 0 (a) 2022-11-23T01:37:54.7991441Z 22 LOAD_FAST 1 (b) 2022-11-23T01:37:54.7991515Z 24 LOAD_CONST 1 (0) 2022-11-23T01:37:54.7991598Z 26 LOAD_CONST 3 (1) 2022-11-23T01:37:54.7991689Z 28 LOAD_CONST 4 (False) 2022-11-23T01:37:54.7991776Z 30 CALL_METHOD 5 2022-11-23T01:37:54.7991862Z 32 BUILD_TUPLE 2 2022-11-23T01:37:54.7991936Z 34 RETURN_VALUE 2022-11-23T01:37:54.7991996Z 2022-11-23T01:37:54.7992003Z 2022-11-23T01:37:54.7992263Z [2022-11-23 01:32:13,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3055 2022-11-23T01:37:54.7992483Z [2022-11-23 01:32:13,987] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.7992842Z [2022-11-23 01:32:13,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR grid_sampler_2d [TorchVariable()] 2022-11-23T01:37:54.7993118Z [2022-11-23 01:32:13,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.grid_sampler_2d)] 2022-11-23T01:37:54.7993416Z [2022-11-23 01:32:13,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.grid_sampler_2d), TensorVariable()] 2022-11-23T01:37:54.7993743Z [2022-11-23 01:32:13,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7994104Z [2022-11-23 01:32:13,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.7994558Z [2022-11-23 01:32:13,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.7995004Z [2022-11-23 01:32:13,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool)] 2022-11-23T01:37:54.7995274Z [2022-11-23 01:32:14,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3056 2022-11-23T01:37:54.7995521Z [2022-11-23 01:32:14,045] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:54.7995859Z [2022-11-23 01:32:14,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR grid_sampler_2d [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.7996160Z [2022-11-23 01:32:14,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.grid_sampler_2d)] 2022-11-23T01:37:54.7996482Z [2022-11-23 01:32:14,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.grid_sampler_2d), TensorVariable()] 2022-11-23T01:37:54.7996836Z [2022-11-23 01:32:14,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7997228Z [2022-11-23 01:32:14,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.7997665Z [2022-11-23 01:32:14,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.7998143Z [2022-11-23 01:32:14,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TensorVariable(), TorchVariable(aten.grid_sampler_2d), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool)] 2022-11-23T01:37:54.7998416Z [2022-11-23 01:32:14,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.7998662Z [2022-11-23 01:32:14,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7998994Z [2022-11-23 01:32:14,104] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.7999242Z [2022-11-23 01:32:14,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.7999483Z [2022-11-23 01:32:14,104] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.7999725Z [2022-11-23 01:32:14,106] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.8000020Z [2022-11-23 01:32:14,201] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.8000214Z [2022-11-23 01:32:14,201] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.8000347Z __compiled_fn_185 .1574 opcode, name, target, args, kwargs 2022-11-23T01:37:54.8000434Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.8000520Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.8000668Z call_function, grid_sampler_2d, aten.grid_sampler_2d, (ex_0_, ex_1_, 0, 0, True), {} 2022-11-23T01:37:54.8000815Z call_function, grid_sampler_2d_1, aten.grid_sampler_2d, (ex_0_, ex_1_, 0, 1, False), {} 2022-11-23T01:37:54.8000966Z output, output, output, ((grid_sampler_2d, grid_sampler_2d_1),), {} 2022-11-23T01:37:54.8000983Z 2022-11-23T01:37:54.8001254Z [2022-11-23 01:32:14,202] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8001349Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.8001444Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8001535Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.8001624Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.8001698Z 8 RETURN_VALUE 2022-11-23T01:37:54.8001703Z 2022-11-23T01:37:54.8001762Z 2022-11-23T01:37:54.8002024Z [2022-11-23 01:32:14,202] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8002132Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_185) 2022-11-23T01:37:54.8002220Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8002309Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8002382Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.8002468Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8002554Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.8002626Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.8002703Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.8002807Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8002906Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8002992Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8003064Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.8003166Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8003251Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:54.8003313Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.8003400Z 30 BUILD_TUPLE 2 2022-11-23T01:37:54.8003474Z 32 RETURN_VALUE 2022-11-23T01:37:54.8003479Z 2022-11-23T01:37:54.8003537Z 2022-11-23T01:37:54.8003721Z [2022-11-23 01:32:14,203] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.8003791Z - 2022-11-23T01:37:54.8003912Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.8003963Z { 2022-11-23T01:37:54.8004106Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.8004295Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.8004416Z 'obj_weakref': None 2022-11-23T01:37:54.8004641Z 'guarded_class': 2022-11-23T01:37:54.8004704Z } 2022-11-23T01:37:54.8004767Z 2022-11-23T01:37:54.8004825Z - 2022-11-23T01:37:54.8004949Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.8005011Z { 2022-11-23T01:37:54.8005154Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8005269Z 'code': None, 2022-11-23T01:37:54.8005485Z 'obj_weakref': 2022-11-23T01:37:54.8005740Z 'guarded_class': 2022-11-23T01:37:54.8005792Z } 2022-11-23T01:37:54.8005880Z 2022-11-23T01:37:54.8005953Z - 2022-11-23T01:37:54.8006080Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.8006142Z { 2022-11-23T01:37:54.8006284Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8006392Z 'code': None, 2022-11-23T01:37:54.8006594Z 'obj_weakref': 2022-11-23T01:37:54.8006847Z 'guarded_class': 2022-11-23T01:37:54.8006909Z } 2022-11-23T01:37:54.8007000Z 2022-11-23T01:37:54.8007070Z - 2022-11-23T01:37:54.8007201Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.8007262Z { 2022-11-23T01:37:54.8007385Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.8007555Z 'code': ['___check_obj_id(model, 140539441119312)'], 2022-11-23T01:37:54.8007675Z 'obj_weakref': None 2022-11-23T01:37:54.8007906Z 'guarded_class': 2022-11-23T01:37:54.8007971Z } 2022-11-23T01:37:54.8008033Z 2022-11-23T01:37:54.8008102Z - 2022-11-23T01:37:54.8008214Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.8008276Z { 2022-11-23T01:37:54.8008415Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.8008633Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.8008754Z 'obj_weakref': None 2022-11-23T01:37:54.8008980Z 'guarded_class': 2022-11-23T01:37:54.8009041Z } 2022-11-23T01:37:54.8009090Z 2022-11-23T01:37:54.8009158Z - 2022-11-23T01:37:54.8009290Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.8009352Z { 2022-11-23T01:37:54.8009475Z 'guard_types': None, 2022-11-23T01:37:54.8009583Z 'code': None, 2022-11-23T01:37:54.8009702Z 'obj_weakref': None 2022-11-23T01:37:54.8009812Z 'guarded_class': None 2022-11-23T01:37:54.8009874Z } 2022-11-23T01:37:54.8009935Z 2022-11-23T01:37:54.8010196Z [2022-11-23 01:32:14,414] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 184 2022-11-23T01:37:54.8010406Z [2022-11-23 01:32:15,102] torch._inductor.scheduler: [DEBUG] remove_buffer('buf5') 2022-11-23T01:37:54.8010607Z [2022-11-23 01:32:15,102] torch._inductor.scheduler: [DEBUG] remove_buffer('buf7') 2022-11-23T01:37:54.8010814Z [2022-11-23 01:32:15,102] torch._inductor.scheduler: [DEBUG] remove_buffer('buf8') 2022-11-23T01:37:54.8011002Z [2022-11-23 01:32:15,102] torch._inductor.scheduler: [DEBUG] remove_buffer('buf0') 2022-11-23T01:37:54.8011200Z [2022-11-23 01:32:15,102] torch._inductor.scheduler: [DEBUG] remove_buffer('buf2') 2022-11-23T01:37:54.8011397Z [2022-11-23 01:32:15,102] torch._inductor.scheduler: [DEBUG] remove_buffer('buf1') 2022-11-23T01:37:54.8011403Z 2022-11-23T01:37:54.8011496Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.8011566Z import torch 2022-11-23T01:37:54.8011637Z import random 2022-11-23T01:37:54.8011752Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.8011872Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.8011878Z 2022-11-23T01:37:54.8011943Z aten = torch.ops.aten 2022-11-23T01:37:54.8012077Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.8012172Z async_compile = AsyncCompile() 2022-11-23T01:37:54.8012178Z 2022-11-23T01:37:54.8012182Z 2022-11-23T01:37:54.8012318Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.8012525Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.8012643Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:37:54.8012775Z float* __restrict__ in_out_ptr1, 2022-11-23T01:37:54.8012883Z const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.8012975Z const float* __restrict__ in_ptr1) 2022-11-23T01:37:54.8013036Z { 2022-11-23T01:37:54.8013113Z #pragma GCC ivdep 2022-11-23T01:37:54.8013193Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:54.8013253Z { 2022-11-23T01:37:54.8013333Z #pragma GCC ivdep 2022-11-23T01:37:54.8013413Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:37:54.8013462Z { 2022-11-23T01:37:54.8013604Z #pragma GCC ivdep 2022-11-23T01:37:54.8013695Z for(long i2=0; i2<123904; i2+=1) 2022-11-23T01:37:54.8013758Z { 2022-11-23T01:37:54.8013824Z { 2022-11-23T01:37:54.8013890Z { 2022-11-23T01:37:54.8013983Z auto tmp2 = in_ptr0[(2*i2) + (247808*i0)]; 2022-11-23T01:37:54.8014095Z auto tmp11 = in_ptr0[1 + (2*i2) + (247808*i0)]; 2022-11-23T01:37:54.8014201Z auto tmp0 = static_cast(i0); 2022-11-23T01:37:54.8014306Z auto tmp1 = static_cast(i1); 2022-11-23T01:37:54.8014414Z auto tmp3 = static_cast(175.5); 2022-11-23T01:37:54.8014510Z auto tmp4 = tmp2 * tmp3; 2022-11-23T01:37:54.8014604Z auto tmp5 = tmp4 + tmp3; 2022-11-23T01:37:54.8014717Z auto tmp6 = std::floor(tmp5); 2022-11-23T01:37:54.8014808Z auto tmp7 = static_cast(0); 2022-11-23T01:37:54.8014904Z auto tmp8 = tmp6 >= tmp7; 2022-11-23T01:37:54.8015012Z auto tmp9 = static_cast(352); 2022-11-23T01:37:54.8015108Z auto tmp10 = tmp6 < tmp9; 2022-11-23T01:37:54.8015202Z auto tmp12 = tmp11 * tmp3; 2022-11-23T01:37:54.8015296Z auto tmp13 = tmp12 + tmp3; 2022-11-23T01:37:54.8015400Z auto tmp14 = std::floor(tmp13); 2022-11-23T01:37:54.8015482Z auto tmp15 = tmp14 >= tmp7; 2022-11-23T01:37:54.8015576Z auto tmp16 = tmp14 < tmp9; 2022-11-23T01:37:54.8015673Z auto tmp17 = tmp15 && tmp16; 2022-11-23T01:37:54.8015767Z auto tmp18 = tmp10 && tmp17; 2022-11-23T01:37:54.8015860Z auto tmp19 = tmp8 && tmp18; 2022-11-23T01:37:54.8015969Z auto tmp20 = static_cast(tmp14); 2022-11-23T01:37:54.8016077Z auto tmp21 = static_cast(0); 2022-11-23T01:37:54.8016181Z auto tmp22 = tmp19 ? tmp20 : tmp21; 2022-11-23T01:37:54.8016277Z auto tmp23 = static_cast(tmp6); 2022-11-23T01:37:54.8016377Z auto tmp24 = tmp19 ? tmp23 : tmp21; 2022-11-23T01:37:54.8016507Z auto tmp25 = in_ptr1[tmp24 + (352*tmp22) + (123904*tmp1) + (371712*tmp0)]; 2022-11-23T01:37:54.8016612Z auto tmp26 = static_cast(1); 2022-11-23T01:37:54.8016704Z auto tmp27 = tmp6 + tmp26; 2022-11-23T01:37:54.8016849Z auto tmp28 = tmp27 - tmp5; 2022-11-23T01:37:54.8016942Z auto tmp29 = tmp14 + tmp26; 2022-11-23T01:37:54.8017072Z auto tmp30 = tmp29 - tmp13; 2022-11-23T01:37:54.8017165Z auto tmp31 = tmp28 * tmp30; 2022-11-23T01:37:54.8017265Z auto tmp32 = tmp19 ? tmp31 : tmp7; 2022-11-23T01:37:54.8017361Z auto tmp33 = tmp25 * tmp32; 2022-11-23T01:37:54.8017452Z auto tmp34 = tmp27 >= tmp7; 2022-11-23T01:37:54.8017540Z auto tmp35 = tmp27 < tmp9; 2022-11-23T01:37:54.8017634Z auto tmp36 = tmp35 && tmp17; 2022-11-23T01:37:54.8017752Z auto tmp37 = tmp34 && tmp36; 2022-11-23T01:37:54.8017841Z auto tmp38 = tmp37 ? tmp20 : tmp21; 2022-11-23T01:37:54.8017948Z auto tmp39 = static_cast(tmp27); 2022-11-23T01:37:54.8018048Z auto tmp40 = tmp37 ? tmp39 : tmp21; 2022-11-23T01:37:54.8018176Z auto tmp41 = in_ptr1[tmp40 + (352*tmp38) + (123904*tmp1) + (371712*tmp0)]; 2022-11-23T01:37:54.8018321Z auto tmp42 = tmp5 - tmp6; 2022-11-23T01:37:54.8018412Z auto tmp43 = tmp42 * tmp30; 2022-11-23T01:37:54.8018511Z auto tmp44 = tmp37 ? tmp43 : tmp7; 2022-11-23T01:37:54.8018620Z auto tmp45 = tmp41 * tmp44; 2022-11-23T01:37:54.8018709Z auto tmp46 = tmp29 >= tmp7; 2022-11-23T01:37:54.8018974Z auto tmp47 = tmp29 < tmp9; 2022-11-23T01:37:54.8019110Z auto tmp48 = tmp46 && tmp47; 2022-11-23T01:37:54.8019213Z auto tmp49 = tmp10 && tmp48; 2022-11-23T01:37:54.8019304Z auto tmp50 = tmp8 && tmp49; 2022-11-23T01:37:54.8019411Z auto tmp51 = static_cast(tmp29); 2022-11-23T01:37:54.8019513Z auto tmp52 = tmp50 ? tmp51 : tmp21; 2022-11-23T01:37:54.8019602Z auto tmp53 = tmp50 ? tmp23 : tmp21; 2022-11-23T01:37:54.8019729Z auto tmp54 = in_ptr1[tmp53 + (352*tmp52) + (123904*tmp1) + (371712*tmp0)]; 2022-11-23T01:37:54.8019883Z auto tmp55 = tmp13 - tmp14; 2022-11-23T01:37:54.8019978Z auto tmp56 = tmp28 * tmp55; 2022-11-23T01:37:54.8020080Z auto tmp57 = tmp50 ? tmp56 : tmp7; 2022-11-23T01:37:54.8020170Z auto tmp58 = tmp54 * tmp57; 2022-11-23T01:37:54.8020262Z auto tmp59 = tmp35 && tmp48; 2022-11-23T01:37:54.8020345Z auto tmp60 = tmp34 && tmp59; 2022-11-23T01:37:54.8020445Z auto tmp61 = tmp60 ? tmp51 : tmp21; 2022-11-23T01:37:54.8020545Z auto tmp62 = tmp60 ? tmp39 : tmp21; 2022-11-23T01:37:54.8020675Z auto tmp63 = in_ptr1[tmp62 + (352*tmp61) + (123904*tmp1) + (371712*tmp0)]; 2022-11-23T01:37:54.8020769Z auto tmp64 = tmp33 + tmp45; 2022-11-23T01:37:54.8020859Z auto tmp65 = tmp64 + tmp58; 2022-11-23T01:37:54.8020949Z auto tmp66 = tmp42 * tmp55; 2022-11-23T01:37:54.8021049Z auto tmp67 = tmp60 ? tmp66 : tmp7; 2022-11-23T01:37:54.8021132Z auto tmp68 = tmp63 * tmp67; 2022-11-23T01:37:54.8021220Z auto tmp69 = tmp65 + tmp68; 2022-11-23T01:37:54.8021328Z auto tmp70 = static_cast(176.0); 2022-11-23T01:37:54.8021420Z auto tmp71 = tmp2 * tmp70; 2022-11-23T01:37:54.8021511Z auto tmp72 = tmp71 + tmp3; 2022-11-23T01:37:54.8021621Z auto tmp73 = static_cast(0.0); 2022-11-23T01:37:54.8021734Z auto tmp74 = std::max(tmp72, tmp73); 2022-11-23T01:37:54.8021832Z auto tmp75 = static_cast(351.0); 2022-11-23T01:37:54.8021938Z auto tmp76 = std::min(tmp74, tmp75); 2022-11-23T01:37:54.8022041Z auto tmp77 = std::floor(tmp76); 2022-11-23T01:37:54.8022133Z auto tmp78 = tmp77 >= tmp7; 2022-11-23T01:37:54.8022226Z auto tmp79 = tmp77 < tmp9; 2022-11-23T01:37:54.8022319Z auto tmp80 = tmp11 * tmp70; 2022-11-23T01:37:54.8022410Z auto tmp81 = tmp80 + tmp3; 2022-11-23T01:37:54.8022516Z auto tmp82 = std::max(tmp81, tmp73); 2022-11-23T01:37:54.8022611Z auto tmp83 = std::min(tmp82, tmp75); 2022-11-23T01:37:54.8022766Z auto tmp84 = std::floor(tmp83); 2022-11-23T01:37:54.8022864Z auto tmp85 = tmp84 >= tmp7; 2022-11-23T01:37:54.8022955Z auto tmp86 = tmp84 < tmp9; 2022-11-23T01:37:54.8023050Z auto tmp87 = tmp85 && tmp86; 2022-11-23T01:37:54.8023143Z auto tmp88 = tmp79 && tmp87; 2022-11-23T01:37:54.8023233Z auto tmp89 = tmp78 && tmp88; 2022-11-23T01:37:54.8023328Z auto tmp90 = static_cast(tmp84); 2022-11-23T01:37:54.8023428Z auto tmp91 = tmp89 ? tmp90 : tmp21; 2022-11-23T01:37:54.8023573Z auto tmp92 = static_cast(tmp77); 2022-11-23T01:37:54.8023674Z auto tmp93 = tmp89 ? tmp92 : tmp21; 2022-11-23T01:37:54.8023803Z auto tmp94 = in_ptr1[tmp93 + (352*tmp91) + (123904*tmp1) + (371712*tmp0)]; 2022-11-23T01:37:54.8023896Z auto tmp95 = tmp77 + tmp26; 2022-11-23T01:37:54.8023989Z auto tmp96 = tmp95 >= tmp7; 2022-11-23T01:37:54.8024081Z auto tmp97 = tmp95 < tmp9; 2022-11-23T01:37:54.8024163Z auto tmp98 = tmp97 && tmp87; 2022-11-23T01:37:54.8024254Z auto tmp99 = tmp96 && tmp98; 2022-11-23T01:37:54.8024357Z auto tmp100 = tmp99 ? tmp90 : tmp21; 2022-11-23T01:37:54.8024464Z auto tmp101 = static_cast(tmp95); 2022-11-23T01:37:54.8024567Z auto tmp102 = tmp99 ? tmp101 : tmp21; 2022-11-23T01:37:54.8024699Z auto tmp103 = in_ptr1[tmp102 + (352*tmp100) + (123904*tmp1) + (371712*tmp0)]; 2022-11-23T01:37:54.8024849Z auto tmp104 = tmp95 - tmp76; 2022-11-23T01:37:54.8024942Z auto tmp105 = tmp84 + tmp26; 2022-11-23T01:37:54.8025078Z auto tmp106 = tmp105 - tmp83; 2022-11-23T01:37:54.8025178Z auto tmp107 = tmp104 * tmp106; 2022-11-23T01:37:54.8025280Z auto tmp108 = tmp89 ? tmp107 : tmp7; 2022-11-23T01:37:54.8025374Z auto tmp109 = tmp94 * tmp108; 2022-11-23T01:37:54.8025521Z auto tmp110 = tmp76 - tmp77; 2022-11-23T01:37:54.8025616Z auto tmp111 = tmp110 * tmp106; 2022-11-23T01:37:54.8025719Z auto tmp112 = tmp99 ? tmp111 : tmp7; 2022-11-23T01:37:54.8025803Z auto tmp113 = tmp103 * tmp112; 2022-11-23T01:37:54.8025896Z auto tmp114 = tmp109 + tmp113; 2022-11-23T01:37:54.8025992Z auto tmp115 = tmp105 >= tmp7; 2022-11-23T01:37:54.8026084Z auto tmp116 = tmp105 < tmp9; 2022-11-23T01:37:54.8026178Z auto tmp117 = tmp115 && tmp116; 2022-11-23T01:37:54.8026272Z auto tmp118 = tmp79 && tmp117; 2022-11-23T01:37:54.8026367Z auto tmp119 = tmp78 && tmp118; 2022-11-23T01:37:54.8026465Z auto tmp120 = static_cast(tmp105); 2022-11-23T01:37:54.8026568Z auto tmp121 = tmp119 ? tmp120 : tmp21; 2022-11-23T01:37:54.8026672Z auto tmp122 = tmp119 ? tmp92 : tmp21; 2022-11-23T01:37:54.8026802Z auto tmp123 = in_ptr1[tmp122 + (352*tmp121) + (123904*tmp1) + (371712*tmp0)]; 2022-11-23T01:37:54.8026896Z auto tmp124 = tmp97 && tmp117; 2022-11-23T01:37:54.8026988Z auto tmp125 = tmp96 && tmp124; 2022-11-23T01:37:54.8027092Z auto tmp126 = tmp125 ? tmp120 : tmp21; 2022-11-23T01:37:54.8027194Z auto tmp127 = tmp125 ? tmp101 : tmp21; 2022-11-23T01:37:54.8027308Z auto tmp128 = in_ptr1[tmp127 + (352*tmp126) + (123904*tmp1) + (371712*tmp0)]; 2022-11-23T01:37:54.8027455Z auto tmp129 = tmp83 - tmp84; 2022-11-23T01:37:54.8027579Z auto tmp130 = tmp104 * tmp129; 2022-11-23T01:37:54.8027686Z auto tmp131 = tmp119 ? tmp130 : tmp7; 2022-11-23T01:37:54.8027778Z auto tmp132 = tmp123 * tmp131; 2022-11-23T01:37:54.8027869Z auto tmp133 = tmp114 + tmp132; 2022-11-23T01:37:54.8027962Z auto tmp134 = tmp110 * tmp129; 2022-11-23T01:37:54.8028061Z auto tmp135 = tmp125 ? tmp134 : tmp7; 2022-11-23T01:37:54.8028226Z auto tmp136 = tmp128 * tmp135; 2022-11-23T01:37:54.8028328Z auto tmp137 = tmp133 + tmp136; 2022-11-23T01:37:54.8028475Z in_out_ptr0[i2 + (123904*i1) + (371712*i0)] = tmp69; 2022-11-23T01:37:54.8028583Z in_out_ptr1[i2 + (123904*i1) + (371712*i0)] = tmp137; 2022-11-23T01:37:54.8028649Z } 2022-11-23T01:37:54.8028714Z } 2022-11-23T01:37:54.8028775Z } 2022-11-23T01:37:54.8028827Z } 2022-11-23T01:37:54.8028888Z } 2022-11-23T01:37:54.8028948Z } 2022-11-23T01:37:54.8029031Z ''') 2022-11-23T01:37:54.8029036Z 2022-11-23T01:37:54.8029041Z 2022-11-23T01:37:54.8029131Z async_compile.wait(globals()) 2022-11-23T01:37:54.8029202Z del async_compile 2022-11-23T01:37:54.8029207Z 2022-11-23T01:37:54.8029275Z def call(args): 2022-11-23T01:37:54.8029338Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.8029411Z args.clear() 2022-11-23T01:37:54.8029646Z buf3 = empty_strided((4, 3, 352, 352), (371712, 123904, 352, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8029737Z buf10 = buf3; del buf3 # reuse 2022-11-23T01:37:54.8029967Z buf4 = empty_strided((4, 3, 352, 352), (371712, 123904, 352, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8030051Z buf6 = buf4; del buf4 # reuse 2022-11-23T01:37:54.8030132Z buf9 = buf6; del buf6 # reuse 2022-11-23T01:37:54.8030323Z kernel_cpp_0(c_void_p(buf10.data_ptr()), c_void_p(buf9.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr())) 2022-11-23T01:37:54.8030380Z del arg0_1 2022-11-23T01:37:54.8030445Z del arg1_1 2022-11-23T01:37:54.8030521Z return (buf10, buf9, ) 2022-11-23T01:37:54.8030526Z 2022-11-23T01:37:54.8030530Z 2022-11-23T01:37:54.8030603Z if __name__ == "__main__": 2022-11-23T01:37:54.8030716Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.8030838Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.8031070Z arg0_1 = rand_strided((4, 3, 352, 352), (371712, 123904, 352, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8031297Z arg1_1 = rand_strided((4, 352, 352, 2), (247808, 704, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8031401Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.8031773Z [2022-11-23 01:32:16,509] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ul/culyrepco4yov5x5hd2rs2cykwfpzx5sgpb7vqs52ru6vsg3l5oo.py 2022-11-23T01:37:54.8032044Z [2022-11-23 01:32:16,510] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 184 2022-11-23T01:37:54.8032050Z 2022-11-23T01:37:54.8032118Z ok (2.727s) 2022-11-23T01:37:54.8032430Z test_hardsigmoid_cpu (__main__.CpuTests) ... [2022-11-23 01:32:16,641] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.8032701Z [2022-11-23 01:32:16,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.8032923Z [2022-11-23 01:32:16,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.8033183Z [2022-11-23 01:32:16,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.8033475Z [2022-11-23 01:32:16,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.8033819Z [2022-11-23 01:32:16,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.8034151Z [2022-11-23 01:32:16,642] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.8034248Z 2621 0 LOAD_GLOBAL 0 (F) 2022-11-23T01:37:54.8034352Z 2 LOAD_METHOD 1 (hardsigmoid) 2022-11-23T01:37:54.8034441Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:54.8034529Z 6 CALL_METHOD 1 2022-11-23T01:37:54.8034663Z 8 LOAD_GLOBAL 0 (F) 2022-11-23T01:37:54.8034763Z 10 LOAD_METHOD 1 (hardsigmoid) 2022-11-23T01:37:54.8034838Z 12 LOAD_FAST 0 (x) 2022-11-23T01:37:54.8034922Z 14 LOAD_CONST 1 (3) 2022-11-23T01:37:54.8034993Z 16 BINARY_ADD 2022-11-23T01:37:54.8035082Z 18 CALL_METHOD 1 2022-11-23T01:37:54.8035168Z 20 LOAD_GLOBAL 0 (F) 2022-11-23T01:37:54.8035268Z 22 LOAD_METHOD 1 (hardsigmoid) 2022-11-23T01:37:54.8035354Z 24 LOAD_FAST 0 (x) 2022-11-23T01:37:54.8035428Z 26 LOAD_CONST 1 (3) 2022-11-23T01:37:54.8035506Z 28 BINARY_SUBTRACT 2022-11-23T01:37:54.8035592Z 30 CALL_METHOD 1 2022-11-23T01:37:54.8035679Z 32 BUILD_TUPLE 3 2022-11-23T01:37:54.8035754Z 34 RETURN_VALUE 2022-11-23T01:37:54.8035813Z 2022-11-23T01:37:54.8035819Z 2022-11-23T01:37:54.8036094Z [2022-11-23 01:32:16,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2621 2022-11-23T01:37:54.8036312Z [2022-11-23 01:32:16,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [] 2022-11-23T01:37:54.8036856Z [2022-11-23 01:32:16,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardsigmoid [TorchVariable()] 2022-11-23T01:37:54.8037167Z [2022-11-23 01:32:16,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:37:54.8037499Z [2022-11-23 01:32:16,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.8037743Z [2022-11-23 01:32:16,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable()] 2022-11-23T01:37:54.8038195Z [2022-11-23 01:32:16,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardsigmoid [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.8038524Z [2022-11-23 01:32:16,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.8038879Z [2022-11-23 01:32:16,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.8039278Z [2022-11-23 01:32:16,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8039639Z [2022-11-23 01:32:16,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.8039914Z [2022-11-23 01:32:16,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8040427Z [2022-11-23 01:32:16,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardsigmoid [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.8040781Z [2022-11-23 01:32:16,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.8041165Z [2022-11-23 01:32:16,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.8041587Z [2022-11-23 01:32:16,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8042008Z [2022-11-23 01:32:16,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.8042307Z [2022-11-23 01:32:16,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8042557Z [2022-11-23 01:32:16,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.8042888Z [2022-11-23 01:32:16,656] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.8043134Z [2022-11-23 01:32:16,656] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.8043375Z [2022-11-23 01:32:16,656] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.8043631Z [2022-11-23 01:32:16,657] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.8043885Z [2022-11-23 01:32:16,671] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.8044079Z [2022-11-23 01:32:16,672] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.8044201Z __compiled_fn_186 .1580 opcode, name, target, args, kwargs 2022-11-23T01:37:54.8044288Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.8044436Z call_function, hardsigmoid, , (ex_0_,), {} 2022-11-23T01:37:54.8044609Z call_function, add, , (ex_0_, 3), {} 2022-11-23T01:37:54.8044757Z call_function, hardsigmoid_1, , (add,), {} 2022-11-23T01:37:54.8044932Z call_function, sub, , (ex_0_, 3), {} 2022-11-23T01:37:54.8045076Z call_function, hardsigmoid_2, , (sub,), {} 2022-11-23T01:37:54.8045215Z output, output, output, ((hardsigmoid, hardsigmoid_1, hardsigmoid_2),), {} 2022-11-23T01:37:54.8045221Z 2022-11-23T01:37:54.8045489Z [2022-11-23 01:32:16,672] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8045584Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.8045672Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8045764Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.8045853Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.8045928Z 8 RETURN_VALUE 2022-11-23T01:37:54.8045934Z 2022-11-23T01:37:54.8045993Z 2022-11-23T01:37:54.8046266Z [2022-11-23 01:32:16,672] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8046364Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_186) 2022-11-23T01:37:54.8046451Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8046539Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8046615Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.8046734Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.8046838Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8046938Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8047016Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8047091Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.8047218Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8047359Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:54.8047476Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.8047668Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8047807Z 26 LOAD_CONST 3 (2) 2022-11-23T01:37:54.8047922Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.8048060Z 30 BUILD_TUPLE 3 2022-11-23T01:37:54.8048144Z 32 RETURN_VALUE 2022-11-23T01:37:54.8048150Z 2022-11-23T01:37:54.8048210Z 2022-11-23T01:37:54.8048411Z [2022-11-23 01:32:16,673] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.8048485Z - 2022-11-23T01:37:54.8048607Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.8048670Z { 2022-11-23T01:37:54.8048801Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.8048990Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.8049112Z 'obj_weakref': None 2022-11-23T01:37:54.8049338Z 'guarded_class': 2022-11-23T01:37:54.8049405Z } 2022-11-23T01:37:54.8049466Z 2022-11-23T01:37:54.8049535Z - 2022-11-23T01:37:54.8049648Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.8049711Z { 2022-11-23T01:37:54.8049854Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8049962Z 'code': None, 2022-11-23T01:37:54.8050177Z 'obj_weakref': 2022-11-23T01:37:54.8050436Z 'guarded_class': 2022-11-23T01:37:54.8050500Z } 2022-11-23T01:37:54.8050551Z 2022-11-23T01:37:54.8050622Z - 2022-11-23T01:37:54.8050756Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.8050821Z { 2022-11-23T01:37:54.8050957Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.8051133Z 'code': ['___check_obj_id(model, 140538731015776)'], 2022-11-23T01:37:54.8051259Z 'obj_weakref': None 2022-11-23T01:37:54.8051479Z 'guarded_class': 2022-11-23T01:37:54.8051547Z } 2022-11-23T01:37:54.8051613Z 2022-11-23T01:37:54.8051686Z - 2022-11-23T01:37:54.8051810Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.8051877Z { 2022-11-23T01:37:54.8052004Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.8052226Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.8052346Z 'obj_weakref': None 2022-11-23T01:37:54.8052570Z 'guarded_class': 2022-11-23T01:37:54.8052638Z } 2022-11-23T01:37:54.8052702Z 2022-11-23T01:37:54.8052775Z - 2022-11-23T01:37:54.8052903Z global 'F' FUNCTION_MATCH 2022-11-23T01:37:54.8052957Z { 2022-11-23T01:37:54.8053079Z 'guard_types': None, 2022-11-23T01:37:54.8053190Z 'code': None, 2022-11-23T01:37:54.8053312Z 'obj_weakref': None 2022-11-23T01:37:54.8053436Z 'guarded_class': None 2022-11-23T01:37:54.8053501Z } 2022-11-23T01:37:54.8053552Z 2022-11-23T01:37:54.8053858Z [2022-11-23 01:32:16,696] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 185 2022-11-23T01:37:54.8054236Z [2022-11-23 01:32:18,089] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3h/c3hythlneo27qlptiw4qmocto2jgfzygscmrvsiqshfmqwnqcwrx.py 2022-11-23T01:37:54.8054506Z [2022-11-23 01:32:18,090] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 185 2022-11-23T01:37:54.8054512Z 2022-11-23T01:37:54.8054608Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.8054678Z import torch 2022-11-23T01:37:54.8054749Z import random 2022-11-23T01:37:54.8054897Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.8055007Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.8055022Z 2022-11-23T01:37:54.8055089Z aten = torch.ops.aten 2022-11-23T01:37:54.8055226Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.8055318Z async_compile = AsyncCompile() 2022-11-23T01:37:54.8055326Z 2022-11-23T01:37:54.8055331Z 2022-11-23T01:37:54.8055470Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.8055677Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.8055797Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.8055898Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.8055983Z float* __restrict__ out_ptr1, 2022-11-23T01:37:54.8056076Z float* __restrict__ out_ptr2) 2022-11-23T01:37:54.8056140Z { 2022-11-23T01:37:54.8056224Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:54.8056284Z { 2022-11-23T01:37:54.8056424Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:54.8056555Z auto tmp1 = at::vec::Vectorized(static_cast(3)); 2022-11-23T01:37:54.8056640Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.8056763Z auto tmp3 = at::vec::Vectorized(static_cast(0.0)); 2022-11-23T01:37:54.8056868Z auto tmp4 = at::vec::maximum(tmp2, tmp3); 2022-11-23T01:37:54.8056994Z auto tmp5 = at::vec::Vectorized(static_cast(6.0)); 2022-11-23T01:37:54.8057098Z auto tmp6 = at::vec::minimum(tmp4, tmp5); 2022-11-23T01:37:54.8057227Z auto tmp7 = at::vec::Vectorized(static_cast(6)); 2022-11-23T01:37:54.8057311Z auto tmp8 = tmp6 / tmp7; 2022-11-23T01:37:54.8057392Z auto tmp9 = tmp2 + tmp1; 2022-11-23T01:37:54.8057495Z auto tmp10 = at::vec::maximum(tmp9, tmp3); 2022-11-23T01:37:54.8057592Z auto tmp11 = at::vec::minimum(tmp10, tmp5); 2022-11-23T01:37:54.8057677Z auto tmp12 = tmp11 / tmp7; 2022-11-23T01:37:54.8057800Z auto tmp13 = tmp0 - tmp1; 2022-11-23T01:37:54.8057882Z auto tmp14 = tmp13 + tmp1; 2022-11-23T01:37:54.8057988Z auto tmp15 = at::vec::maximum(tmp14, tmp3); 2022-11-23T01:37:54.8058091Z auto tmp16 = at::vec::minimum(tmp15, tmp5); 2022-11-23T01:37:54.8058172Z auto tmp17 = tmp16 / tmp7; 2022-11-23T01:37:54.8058247Z tmp8.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.8058332Z tmp12.store(out_ptr1 + 8*i0); 2022-11-23T01:37:54.8058417Z tmp17.store(out_ptr2 + 8*i0); 2022-11-23T01:37:54.8058497Z } 2022-11-23T01:37:54.8058641Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.8058878Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:37:54.8058979Z { 2022-11-23T01:37:54.8059066Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.8059183Z auto tmp1 = static_cast(3); 2022-11-23T01:37:54.8059334Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.8059444Z auto tmp3 = static_cast(0.0); 2022-11-23T01:37:54.8059540Z auto tmp4 = std::max(tmp2, tmp3); 2022-11-23T01:37:54.8059638Z auto tmp5 = static_cast(6.0); 2022-11-23T01:37:54.8059730Z auto tmp6 = std::min(tmp4, tmp5); 2022-11-23T01:37:54.8059811Z auto tmp7 = static_cast(6); 2022-11-23T01:37:54.8059962Z auto tmp8 = tmp6 / tmp7; 2022-11-23T01:37:54.8060045Z auto tmp9 = tmp2 + tmp1; 2022-11-23T01:37:54.8060140Z auto tmp10 = std::max(tmp9, tmp3); 2022-11-23T01:37:54.8060237Z auto tmp11 = std::min(tmp10, tmp5); 2022-11-23T01:37:54.8060322Z auto tmp12 = tmp11 / tmp7; 2022-11-23T01:37:54.8060458Z auto tmp13 = tmp0 - tmp1; 2022-11-23T01:37:54.8060530Z auto tmp14 = tmp13 + tmp1; 2022-11-23T01:37:54.8060625Z auto tmp15 = std::max(tmp14, tmp3); 2022-11-23T01:37:54.8060719Z auto tmp16 = std::min(tmp15, tmp5); 2022-11-23T01:37:54.8060847Z auto tmp17 = tmp16 / tmp7; 2022-11-23T01:37:54.8060926Z out_ptr0[i0] = tmp8; 2022-11-23T01:37:54.8061003Z out_ptr1[i0] = tmp12; 2022-11-23T01:37:54.8061079Z out_ptr2[i0] = tmp17; 2022-11-23T01:37:54.8061127Z } 2022-11-23T01:37:54.8061187Z } 2022-11-23T01:37:54.8061266Z ''') 2022-11-23T01:37:54.8061272Z 2022-11-23T01:37:54.8061276Z 2022-11-23T01:37:54.8061366Z async_compile.wait(globals()) 2022-11-23T01:37:54.8061438Z del async_compile 2022-11-23T01:37:54.8061442Z 2022-11-23T01:37:54.8061510Z def call(args): 2022-11-23T01:37:54.8061578Z arg0_1, = args 2022-11-23T01:37:54.8061636Z args.clear() 2022-11-23T01:37:54.8061835Z buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8062030Z buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8062221Z buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8062413Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:37:54.8062484Z del arg0_1 2022-11-23T01:37:54.8062564Z return (buf0, buf1, buf2, ) 2022-11-23T01:37:54.8062569Z 2022-11-23T01:37:54.8062573Z 2022-11-23T01:37:54.8062648Z if __name__ == "__main__": 2022-11-23T01:37:54.8062748Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.8062873Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.8063070Z arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8063176Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.8063181Z 2022-11-23T01:37:54.8063246Z ok (1.456s) 2022-11-23T01:37:54.8063562Z test_hardswish_cpu (__main__.CpuTests) ... [2022-11-23 01:32:18,097] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.8063835Z [2022-11-23 01:32:18,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.8064058Z [2022-11-23 01:32:18,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.8064314Z [2022-11-23 01:32:18,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.8064590Z [2022-11-23 01:32:18,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.8064918Z [2022-11-23 01:32:18,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.8065248Z [2022-11-23 01:32:18,098] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.8065342Z 2630 0 LOAD_GLOBAL 0 (F) 2022-11-23T01:37:54.8065442Z 2 LOAD_METHOD 1 (hardswish) 2022-11-23T01:37:54.8065534Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:54.8065621Z 6 CALL_METHOD 1 2022-11-23T01:37:54.8065715Z 8 LOAD_GLOBAL 0 (F) 2022-11-23T01:37:54.8065800Z 10 LOAD_METHOD 1 (hardswish) 2022-11-23T01:37:54.8065888Z 12 LOAD_FAST 0 (x) 2022-11-23T01:37:54.8066001Z 14 LOAD_CONST 1 (3) 2022-11-23T01:37:54.8066076Z 16 BINARY_ADD 2022-11-23T01:37:54.8066162Z 18 CALL_METHOD 1 2022-11-23T01:37:54.8066249Z 20 LOAD_GLOBAL 0 (F) 2022-11-23T01:37:54.8066345Z 22 LOAD_METHOD 1 (hardswish) 2022-11-23T01:37:54.8066419Z 24 LOAD_FAST 0 (x) 2022-11-23T01:37:54.8066505Z 26 LOAD_CONST 1 (3) 2022-11-23T01:37:54.8066582Z 28 BINARY_SUBTRACT 2022-11-23T01:37:54.8066667Z 30 CALL_METHOD 1 2022-11-23T01:37:54.8066785Z 32 BUILD_TUPLE 3 2022-11-23T01:37:54.8066859Z 34 RETURN_VALUE 2022-11-23T01:37:54.8066919Z 2022-11-23T01:37:54.8066924Z 2022-11-23T01:37:54.8067196Z [2022-11-23 01:32:18,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2630 2022-11-23T01:37:54.8067401Z [2022-11-23 01:32:18,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [] 2022-11-23T01:37:54.8067815Z [2022-11-23 01:32:18,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardswish [TorchVariable()] 2022-11-23T01:37:54.8068186Z [2022-11-23 01:32:18,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:37:54.8068524Z [2022-11-23 01:32:18,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.8068773Z [2022-11-23 01:32:18,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable()] 2022-11-23T01:37:54.8069219Z [2022-11-23 01:32:18,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardswish [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.8069541Z [2022-11-23 01:32:18,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.8069896Z [2022-11-23 01:32:18,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.8070293Z [2022-11-23 01:32:18,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8070654Z [2022-11-23 01:32:18,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.8070927Z [2022-11-23 01:32:18,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8071399Z [2022-11-23 01:32:18,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardswish [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.8071735Z [2022-11-23 01:32:18,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.8072120Z [2022-11-23 01:32:18,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.8072554Z [2022-11-23 01:32:18,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8072972Z [2022-11-23 01:32:18,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.8073280Z [2022-11-23 01:32:18,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8073529Z [2022-11-23 01:32:18,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.8073863Z [2022-11-23 01:32:18,113] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.8074147Z [2022-11-23 01:32:18,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.8074381Z [2022-11-23 01:32:18,114] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.8074641Z [2022-11-23 01:32:18,115] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.8074893Z [2022-11-23 01:32:18,127] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.8075073Z [2022-11-23 01:32:18,128] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.8075207Z __compiled_fn_187 .1586 opcode, name, target, args, kwargs 2022-11-23T01:37:54.8075294Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.8075436Z call_function, hardswish, , (ex_0_,), {} 2022-11-23T01:37:54.8075609Z call_function, add, , (ex_0_, 3), {} 2022-11-23T01:37:54.8075751Z call_function, hardswish_1, , (add,), {} 2022-11-23T01:37:54.8075924Z call_function, sub, , (ex_0_, 3), {} 2022-11-23T01:37:54.8076062Z call_function, hardswish_2, , (sub,), {} 2022-11-23T01:37:54.8076186Z output, output, output, ((hardswish, hardswish_1, hardswish_2),), {} 2022-11-23T01:37:54.8076203Z 2022-11-23T01:37:54.8076470Z [2022-11-23 01:32:18,128] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8076563Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.8076652Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8076743Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.8076831Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.8076906Z 8 RETURN_VALUE 2022-11-23T01:37:54.8076911Z 2022-11-23T01:37:54.8076971Z 2022-11-23T01:37:54.8077233Z [2022-11-23 01:32:18,128] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8077339Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_187) 2022-11-23T01:37:54.8077429Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8077515Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8077593Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.8077681Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.8077783Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8077873Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8077960Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8078034Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.8078133Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8078221Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:54.8078298Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.8078397Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8078481Z 26 LOAD_CONST 3 (2) 2022-11-23T01:37:54.8078543Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.8078630Z 30 BUILD_TUPLE 3 2022-11-23T01:37:54.8078706Z 32 RETURN_VALUE 2022-11-23T01:37:54.8078740Z 2022-11-23T01:37:54.8078800Z 2022-11-23T01:37:54.8078985Z [2022-11-23 01:32:18,129] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.8079056Z - 2022-11-23T01:37:54.8079176Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.8079227Z { 2022-11-23T01:37:54.8079367Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.8079555Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.8079676Z 'obj_weakref': None 2022-11-23T01:37:54.8079903Z 'guarded_class': 2022-11-23T01:37:54.8080010Z } 2022-11-23T01:37:54.8080070Z 2022-11-23T01:37:54.8080128Z - 2022-11-23T01:37:54.8080254Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.8080315Z { 2022-11-23T01:37:54.8080461Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8080572Z 'code': None, 2022-11-23T01:37:54.8080788Z 'obj_weakref': 2022-11-23T01:37:54.8081046Z 'guarded_class': 2022-11-23T01:37:54.8081097Z } 2022-11-23T01:37:54.8081158Z 2022-11-23T01:37:54.8081227Z - 2022-11-23T01:37:54.8081360Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.8081421Z { 2022-11-23T01:37:54.8081555Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.8081727Z 'code': ['___check_obj_id(model, 140539098654480)'], 2022-11-23T01:37:54.8081839Z 'obj_weakref': None 2022-11-23T01:37:54.8082070Z 'guarded_class': 2022-11-23T01:37:54.8082133Z } 2022-11-23T01:37:54.8082191Z 2022-11-23T01:37:54.8082262Z - 2022-11-23T01:37:54.8082385Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.8082447Z { 2022-11-23T01:37:54.8082572Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.8082787Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.8082907Z 'obj_weakref': None 2022-11-23T01:37:54.8083127Z 'guarded_class': 2022-11-23T01:37:54.8083187Z } 2022-11-23T01:37:54.8083247Z 2022-11-23T01:37:54.8083316Z - 2022-11-23T01:37:54.8083433Z global 'F' FUNCTION_MATCH 2022-11-23T01:37:54.8083496Z { 2022-11-23T01:37:54.8083617Z 'guard_types': None, 2022-11-23T01:37:54.8083724Z 'code': None, 2022-11-23T01:37:54.8083841Z 'obj_weakref': None 2022-11-23T01:37:54.8083961Z 'guarded_class': None 2022-11-23T01:37:54.8084022Z } 2022-11-23T01:37:54.8084073Z 2022-11-23T01:37:54.8084339Z [2022-11-23 01:32:18,155] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 186 2022-11-23T01:37:54.8084708Z [2022-11-23 01:32:19,580] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/of/cofzh3m44k2y6pn7rolg7s2klwkfeaqb3pgkqptfsr5icmrbnzvb.py 2022-11-23T01:37:54.8084974Z [2022-11-23 01:32:19,580] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 186 2022-11-23T01:37:54.8084981Z 2022-11-23T01:37:54.8085073Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.8085144Z import torch 2022-11-23T01:37:54.8085210Z import random 2022-11-23T01:37:54.8085313Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.8085433Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.8085438Z 2022-11-23T01:37:54.8085514Z aten = torch.ops.aten 2022-11-23T01:37:54.8085645Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.8085766Z async_compile = AsyncCompile() 2022-11-23T01:37:54.8085771Z 2022-11-23T01:37:54.8085776Z 2022-11-23T01:37:54.8085913Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.8086118Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.8086234Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.8086332Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.8086416Z float* __restrict__ out_ptr1, 2022-11-23T01:37:54.8086507Z float* __restrict__ out_ptr2) 2022-11-23T01:37:54.8086602Z { 2022-11-23T01:37:54.8086681Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:54.8086738Z { 2022-11-23T01:37:54.8086875Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:54.8087007Z auto tmp1 = at::vec::Vectorized(static_cast(3)); 2022-11-23T01:37:54.8087077Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.8087209Z auto tmp3 = at::vec::Vectorized(static_cast(0.0)); 2022-11-23T01:37:54.8087312Z auto tmp4 = at::vec::maximum(tmp2, tmp3); 2022-11-23T01:37:54.8087441Z auto tmp5 = at::vec::Vectorized(static_cast(6.0)); 2022-11-23T01:37:54.8087542Z auto tmp6 = at::vec::minimum(tmp4, tmp5); 2022-11-23T01:37:54.8087623Z auto tmp7 = tmp0 * tmp6; 2022-11-23T01:37:54.8087749Z auto tmp8 = at::vec::Vectorized(static_cast(6)); 2022-11-23T01:37:54.8087828Z auto tmp9 = tmp7 / tmp8; 2022-11-23T01:37:54.8087898Z auto tmp10 = tmp2 + tmp1; 2022-11-23T01:37:54.8088006Z auto tmp11 = at::vec::maximum(tmp10, tmp3); 2022-11-23T01:37:54.8088109Z auto tmp12 = at::vec::minimum(tmp11, tmp5); 2022-11-23T01:37:54.8088190Z auto tmp13 = tmp2 * tmp12; 2022-11-23T01:37:54.8088270Z auto tmp14 = tmp13 / tmp8; 2022-11-23T01:37:54.8088393Z auto tmp15 = tmp0 - tmp1; 2022-11-23T01:37:54.8088476Z auto tmp16 = tmp15 + tmp1; 2022-11-23T01:37:54.8088569Z auto tmp17 = at::vec::maximum(tmp16, tmp3); 2022-11-23T01:37:54.8088669Z auto tmp18 = at::vec::minimum(tmp17, tmp5); 2022-11-23T01:37:54.8088753Z auto tmp19 = tmp15 * tmp18; 2022-11-23T01:37:54.8088832Z auto tmp20 = tmp19 / tmp8; 2022-11-23T01:37:54.8088919Z tmp9.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.8089003Z tmp14.store(out_ptr1 + 8*i0); 2022-11-23T01:37:54.8089086Z tmp20.store(out_ptr2 + 8*i0); 2022-11-23T01:37:54.8089135Z } 2022-11-23T01:37:54.8089221Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.8089302Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:37:54.8089362Z { 2022-11-23T01:37:54.8089445Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.8089541Z auto tmp1 = static_cast(3); 2022-11-23T01:37:54.8089623Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.8089709Z auto tmp3 = static_cast(0.0); 2022-11-23T01:37:54.8089806Z auto tmp4 = std::max(tmp2, tmp3); 2022-11-23T01:37:54.8089904Z auto tmp5 = static_cast(6.0); 2022-11-23T01:37:54.8089999Z auto tmp6 = std::min(tmp4, tmp5); 2022-11-23T01:37:54.8090082Z auto tmp7 = tmp0 * tmp6; 2022-11-23T01:37:54.8090176Z auto tmp8 = static_cast(6); 2022-11-23T01:37:54.8090258Z auto tmp9 = tmp7 / tmp8; 2022-11-23T01:37:54.8090327Z auto tmp10 = tmp2 + tmp1; 2022-11-23T01:37:54.8090425Z auto tmp11 = std::max(tmp10, tmp3); 2022-11-23T01:37:54.8090522Z auto tmp12 = std::min(tmp11, tmp5); 2022-11-23T01:37:54.8090611Z auto tmp13 = tmp2 * tmp12; 2022-11-23T01:37:54.8090693Z auto tmp14 = tmp13 / tmp8; 2022-11-23T01:37:54.8090816Z auto tmp15 = tmp0 - tmp1; 2022-11-23T01:37:54.8090900Z auto tmp16 = tmp15 + tmp1; 2022-11-23T01:37:54.8090983Z auto tmp17 = std::max(tmp16, tmp3); 2022-11-23T01:37:54.8091076Z auto tmp18 = std::min(tmp17, tmp5); 2022-11-23T01:37:54.8091194Z auto tmp19 = tmp15 * tmp18; 2022-11-23T01:37:54.8091280Z auto tmp20 = tmp19 / tmp8; 2022-11-23T01:37:54.8091358Z out_ptr0[i0] = tmp9; 2022-11-23T01:37:54.8091438Z out_ptr1[i0] = tmp14; 2022-11-23T01:37:54.8091514Z out_ptr2[i0] = tmp20; 2022-11-23T01:37:54.8091561Z } 2022-11-23T01:37:54.8091620Z } 2022-11-23T01:37:54.8091703Z ''') 2022-11-23T01:37:54.8091708Z 2022-11-23T01:37:54.8091712Z 2022-11-23T01:37:54.8091804Z async_compile.wait(globals()) 2022-11-23T01:37:54.8091879Z del async_compile 2022-11-23T01:37:54.8091884Z 2022-11-23T01:37:54.8091954Z def call(args): 2022-11-23T01:37:54.8092059Z arg0_1, = args 2022-11-23T01:37:54.8092119Z args.clear() 2022-11-23T01:37:54.8092320Z buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8092518Z buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8092711Z buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8092906Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:37:54.8092975Z del arg0_1 2022-11-23T01:37:54.8093061Z return (buf0, buf1, buf2, ) 2022-11-23T01:37:54.8093065Z 2022-11-23T01:37:54.8093069Z 2022-11-23T01:37:54.8093146Z if __name__ == "__main__": 2022-11-23T01:37:54.8093259Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.8093370Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.8093568Z arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8093681Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.8093686Z 2022-11-23T01:37:54.8093753Z ok (1.490s) 2022-11-23T01:37:54.8094067Z test_hardtanh_cpu (__main__.CpuTests) ... [2022-11-23 01:32:19,588] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.8094348Z [2022-11-23 01:32:19,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.8094570Z [2022-11-23 01:32:19,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.8094830Z [2022-11-23 01:32:19,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.8095107Z [2022-11-23 01:32:19,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.8095432Z [2022-11-23 01:32:19,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.8095767Z [2022-11-23 01:32:19,588] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.8095862Z 2612 0 LOAD_GLOBAL 0 (F) 2022-11-23T01:37:54.8095964Z 2 LOAD_METHOD 1 (hardtanh) 2022-11-23T01:37:54.8096053Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:54.8096142Z 6 CALL_METHOD 1 2022-11-23T01:37:54.8096234Z 8 LOAD_GLOBAL 0 (F) 2022-11-23T01:37:54.8096319Z 10 LOAD_METHOD 1 (hardtanh) 2022-11-23T01:37:54.8096406Z 12 LOAD_FAST 0 (x) 2022-11-23T01:37:54.8096491Z 14 LOAD_CONST 1 (1) 2022-11-23T01:37:54.8096562Z 16 BINARY_ADD 2022-11-23T01:37:54.8096649Z 18 CALL_METHOD 1 2022-11-23T01:37:54.8096739Z 20 LOAD_GLOBAL 0 (F) 2022-11-23T01:37:54.8096837Z 22 LOAD_METHOD 1 (hardtanh) 2022-11-23T01:37:54.8096911Z 24 LOAD_FAST 0 (x) 2022-11-23T01:37:54.8096997Z 26 LOAD_CONST 1 (1) 2022-11-23T01:37:54.8097074Z 28 BINARY_SUBTRACT 2022-11-23T01:37:54.8097191Z 30 CALL_METHOD 1 2022-11-23T01:37:54.8097279Z 32 BUILD_TUPLE 3 2022-11-23T01:37:54.8097353Z 34 RETURN_VALUE 2022-11-23T01:37:54.8097413Z 2022-11-23T01:37:54.8097418Z 2022-11-23T01:37:54.8097688Z [2022-11-23 01:32:19,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2612 2022-11-23T01:37:54.8097893Z [2022-11-23 01:32:19,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [] 2022-11-23T01:37:54.8098309Z [2022-11-23 01:32:19,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardtanh [TorchVariable()] 2022-11-23T01:37:54.8098637Z [2022-11-23 01:32:19,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:37:54.8099207Z [2022-11-23 01:32:19,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.8099462Z [2022-11-23 01:32:19,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable()] 2022-11-23T01:37:54.8099908Z [2022-11-23 01:32:19,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardtanh [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.8100231Z [2022-11-23 01:32:19,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.8100590Z [2022-11-23 01:32:19,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.8100984Z [2022-11-23 01:32:19,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8101341Z [2022-11-23 01:32:19,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.8101613Z [2022-11-23 01:32:19,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8102085Z [2022-11-23 01:32:19,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardtanh [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.8102422Z [2022-11-23 01:32:19,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.8102802Z [2022-11-23 01:32:19,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.8103236Z [2022-11-23 01:32:19,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8103618Z [2022-11-23 01:32:19,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.8103918Z [2022-11-23 01:32:19,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8104171Z [2022-11-23 01:32:19,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.8104560Z [2022-11-23 01:32:19,598] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.8104813Z [2022-11-23 01:32:19,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.8105052Z [2022-11-23 01:32:19,598] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.8105309Z [2022-11-23 01:32:19,600] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.8105562Z [2022-11-23 01:32:19,610] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.8105780Z [2022-11-23 01:32:19,610] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.8105916Z __compiled_fn_188 .1592 opcode, name, target, args, kwargs 2022-11-23T01:37:54.8106005Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.8106146Z call_function, hardtanh, , (ex_0_,), {} 2022-11-23T01:37:54.8106322Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:54.8106459Z call_function, hardtanh_1, , (add,), {} 2022-11-23T01:37:54.8106628Z call_function, sub, , (ex_0_, 1), {} 2022-11-23T01:37:54.8106766Z call_function, hardtanh_2, , (sub,), {} 2022-11-23T01:37:54.8106883Z output, output, output, ((hardtanh, hardtanh_1, hardtanh_2),), {} 2022-11-23T01:37:54.8106889Z 2022-11-23T01:37:54.8107168Z [2022-11-23 01:32:19,611] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8107268Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.8107358Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8107448Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.8107539Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.8107613Z 8 RETURN_VALUE 2022-11-23T01:37:54.8107618Z 2022-11-23T01:37:54.8107680Z 2022-11-23T01:37:54.8107942Z [2022-11-23 01:32:19,611] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8108050Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_188) 2022-11-23T01:37:54.8108233Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8108330Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8108409Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.8108496Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.8108600Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8108690Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8108780Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8108857Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.8108957Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8109046Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:54.8109120Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.8109218Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8109304Z 26 LOAD_CONST 3 (2) 2022-11-23T01:37:54.8109366Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.8109453Z 30 BUILD_TUPLE 3 2022-11-23T01:37:54.8109527Z 32 RETURN_VALUE 2022-11-23T01:37:54.8109532Z 2022-11-23T01:37:54.8109593Z 2022-11-23T01:37:54.8109781Z [2022-11-23 01:32:19,612] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.8109853Z - 2022-11-23T01:37:54.8109977Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.8110027Z { 2022-11-23T01:37:54.8110170Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.8110366Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.8110488Z 'obj_weakref': None 2022-11-23T01:37:54.8110780Z 'guarded_class': 2022-11-23T01:37:54.8110846Z } 2022-11-23T01:37:54.8110907Z 2022-11-23T01:37:54.8110966Z - 2022-11-23T01:37:54.8111091Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.8111154Z { 2022-11-23T01:37:54.8111302Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8111412Z 'code': None, 2022-11-23T01:37:54.8111627Z 'obj_weakref': 2022-11-23T01:37:54.8111883Z 'guarded_class': 2022-11-23T01:37:54.8111965Z } 2022-11-23T01:37:54.8112029Z 2022-11-23T01:37:54.8112100Z - 2022-11-23T01:37:54.8112231Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.8112296Z { 2022-11-23T01:37:54.8112432Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.8112605Z 'code': ['___check_obj_id(model, 140539049008304)'], 2022-11-23T01:37:54.8112713Z 'obj_weakref': None 2022-11-23T01:37:54.8112947Z 'guarded_class': 2022-11-23T01:37:54.8113011Z } 2022-11-23T01:37:54.8113072Z 2022-11-23T01:37:54.8113141Z - 2022-11-23T01:37:54.8113261Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.8113322Z { 2022-11-23T01:37:54.8113449Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.8113666Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.8113788Z 'obj_weakref': None 2022-11-23T01:37:54.8114009Z 'guarded_class': 2022-11-23T01:37:54.8114069Z } 2022-11-23T01:37:54.8114129Z 2022-11-23T01:37:54.8114198Z - 2022-11-23T01:37:54.8114315Z global 'F' FUNCTION_MATCH 2022-11-23T01:37:54.8114376Z { 2022-11-23T01:37:54.8114497Z 'guard_types': None, 2022-11-23T01:37:54.8114603Z 'code': None, 2022-11-23T01:37:54.8114721Z 'obj_weakref': None 2022-11-23T01:37:54.8114842Z 'guarded_class': None 2022-11-23T01:37:54.8114892Z } 2022-11-23T01:37:54.8114952Z 2022-11-23T01:37:54.8115214Z [2022-11-23 01:32:19,629] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 187 2022-11-23T01:37:54.8115587Z [2022-11-23 01:32:21,015] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2v/c2vylk3hy5vj4zibkhoqjocxaa5thgw3t33durmnok4wlqdl5gjm.py 2022-11-23T01:37:54.8115854Z [2022-11-23 01:32:21,015] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 187 2022-11-23T01:37:54.8115860Z 2022-11-23T01:37:54.8115952Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.8116020Z import torch 2022-11-23T01:37:54.8116087Z import random 2022-11-23T01:37:54.8116189Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.8116308Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.8116313Z 2022-11-23T01:37:54.8116387Z aten = torch.ops.aten 2022-11-23T01:37:54.8116519Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.8116609Z async_compile = AsyncCompile() 2022-11-23T01:37:54.8116615Z 2022-11-23T01:37:54.8116619Z 2022-11-23T01:37:54.8116755Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.8116963Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.8117087Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.8117188Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.8117272Z float* __restrict__ out_ptr1, 2022-11-23T01:37:54.8117392Z float* __restrict__ out_ptr2) 2022-11-23T01:37:54.8117453Z { 2022-11-23T01:37:54.8117535Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:54.8117596Z { 2022-11-23T01:37:54.8117733Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:54.8117935Z auto tmp1 = at::vec::Vectorized(static_cast(-1.0)); 2022-11-23T01:37:54.8118031Z auto tmp2 = at::vec::maximum(tmp0, tmp1); 2022-11-23T01:37:54.8118165Z auto tmp3 = at::vec::Vectorized(static_cast(1.0)); 2022-11-23T01:37:54.8118270Z auto tmp4 = at::vec::minimum(tmp2, tmp3); 2022-11-23T01:37:54.8118432Z auto tmp5 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:54.8118515Z auto tmp6 = tmp0 + tmp5; 2022-11-23T01:37:54.8118618Z auto tmp7 = at::vec::maximum(tmp6, tmp1); 2022-11-23T01:37:54.8118720Z auto tmp8 = at::vec::minimum(tmp7, tmp3); 2022-11-23T01:37:54.8118845Z auto tmp9 = tmp0 - tmp5; 2022-11-23T01:37:54.8118941Z auto tmp10 = at::vec::maximum(tmp9, tmp1); 2022-11-23T01:37:54.8119046Z auto tmp11 = at::vec::minimum(tmp10, tmp3); 2022-11-23T01:37:54.8119134Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.8119218Z tmp8.store(out_ptr1 + 8*i0); 2022-11-23T01:37:54.8119308Z tmp11.store(out_ptr2 + 8*i0); 2022-11-23T01:37:54.8119369Z } 2022-11-23T01:37:54.8119457Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.8119526Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:37:54.8119586Z { 2022-11-23T01:37:54.8119665Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.8119814Z auto tmp1 = static_cast(-1.0); 2022-11-23T01:37:54.8119908Z auto tmp2 = std::max(tmp0, tmp1); 2022-11-23T01:37:54.8120005Z auto tmp3 = static_cast(1.0); 2022-11-23T01:37:54.8120098Z auto tmp4 = std::min(tmp2, tmp3); 2022-11-23T01:37:54.8120182Z auto tmp5 = static_cast(1); 2022-11-23T01:37:54.8120260Z auto tmp6 = tmp0 + tmp5; 2022-11-23T01:37:54.8120355Z auto tmp7 = std::max(tmp6, tmp1); 2022-11-23T01:37:54.8120445Z auto tmp8 = std::min(tmp7, tmp3); 2022-11-23T01:37:54.8120568Z auto tmp9 = tmp0 - tmp5; 2022-11-23T01:37:54.8120662Z auto tmp10 = std::max(tmp9, tmp1); 2022-11-23T01:37:54.8120760Z auto tmp11 = std::min(tmp10, tmp3); 2022-11-23T01:37:54.8120825Z out_ptr0[i0] = tmp4; 2022-11-23T01:37:54.8120901Z out_ptr1[i0] = tmp8; 2022-11-23T01:37:54.8120975Z out_ptr2[i0] = tmp11; 2022-11-23T01:37:54.8121034Z } 2022-11-23T01:37:54.8121093Z } 2022-11-23T01:37:54.8121174Z ''') 2022-11-23T01:37:54.8121179Z 2022-11-23T01:37:54.8121183Z 2022-11-23T01:37:54.8121270Z async_compile.wait(globals()) 2022-11-23T01:37:54.8121330Z del async_compile 2022-11-23T01:37:54.8121345Z 2022-11-23T01:37:54.8121402Z def call(args): 2022-11-23T01:37:54.8121470Z arg0_1, = args 2022-11-23T01:37:54.8121539Z args.clear() 2022-11-23T01:37:54.8121736Z buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8121931Z buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8122119Z buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8122309Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:37:54.8122365Z del arg0_1 2022-11-23T01:37:54.8122444Z return (buf0, buf1, buf2, ) 2022-11-23T01:37:54.8122448Z 2022-11-23T01:37:54.8122452Z 2022-11-23T01:37:54.8122527Z if __name__ == "__main__": 2022-11-23T01:37:54.8122642Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.8122765Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.8122959Z arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8123065Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.8123070Z 2022-11-23T01:37:54.8123162Z ok (1.435s) 2022-11-23T01:37:54.8123479Z test_horizonal_fusion1_cpu (__main__.CpuTests) ... [2022-11-23 01:32:21,024] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.8123755Z [2022-11-23 01:32:21,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.8123974Z [2022-11-23 01:32:21,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.8124231Z [2022-11-23 01:32:21,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.8124571Z [2022-11-23 01:32:21,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.8124895Z [2022-11-23 01:32:21,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.8125226Z [2022-11-23 01:32:21,024] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.8125316Z 689 0 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8125407Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:54.8125468Z 4 BINARY_ADD 2022-11-23T01:37:54.8125555Z 6 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8125639Z 8 LOAD_FAST 2 (c) 2022-11-23T01:37:54.8125717Z 10 BINARY_SUBTRACT 2022-11-23T01:37:54.8125800Z 12 LOAD_FAST 1 (b) 2022-11-23T01:37:54.8125886Z 14 LOAD_FAST 2 (c) 2022-11-23T01:37:54.8125965Z 16 BINARY_MULTIPLY 2022-11-23T01:37:54.8126039Z 18 BUILD_TUPLE 3 2022-11-23T01:37:54.8126113Z 20 RETURN_VALUE 2022-11-23T01:37:54.8126172Z 2022-11-23T01:37:54.8126177Z 2022-11-23T01:37:54.8126452Z [2022-11-23 01:32:21,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:689 2022-11-23T01:37:54.8126665Z [2022-11-23 01:32:21,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:54.8126907Z [2022-11-23 01:32:21,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:54.8127184Z [2022-11-23 01:32:21,025] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8127423Z [2022-11-23 01:32:21,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()] 2022-11-23T01:37:54.8127695Z [2022-11-23 01:32:21,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8127991Z [2022-11-23 01:32:21,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8128256Z [2022-11-23 01:32:21,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8128551Z [2022-11-23 01:32:21,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8128892Z [2022-11-23 01:32:21,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8129192Z [2022-11-23 01:32:21,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8129442Z [2022-11-23 01:32:21,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.8129773Z [2022-11-23 01:32:21,028] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.8130054Z [2022-11-23 01:32:21,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.8130293Z [2022-11-23 01:32:21,028] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.8130548Z [2022-11-23 01:32:21,030] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.8130789Z [2022-11-23 01:32:21,034] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.8130979Z [2022-11-23 01:32:21,035] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.8131111Z __compiled_fn_189 .1598 opcode, name, target, args, kwargs 2022-11-23T01:37:54.8131233Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.8131318Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.8131400Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:37:54.8131582Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.8131765Z call_function, sub, , (ex_0_, ex_2_), {} 2022-11-23T01:37:54.8131928Z call_function, mul, , (ex_1_, ex_2_), {} 2022-11-23T01:37:54.8132036Z output, output, output, ((add, sub, mul),), {} 2022-11-23T01:37:54.8132041Z 2022-11-23T01:37:54.8132319Z [2022-11-23 01:32:21,035] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8132416Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.8132507Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8132601Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.8132692Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.8132755Z 8 RETURN_VALUE 2022-11-23T01:37:54.8132773Z 2022-11-23T01:37:54.8132822Z 2022-11-23T01:37:54.8133098Z [2022-11-23 01:32:21,035] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8133209Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_189) 2022-11-23T01:37:54.8133302Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8133391Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8133468Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.8133556Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8133630Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.8133711Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.8133797Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8133883Z 16 LOAD_CONST 3 (2) 2022-11-23T01:37:54.8133958Z 18 BINARY_SUBSCR 2022-11-23T01:37:54.8134051Z 20 CALL_FUNCTION 3 2022-11-23T01:37:54.8134157Z 22 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8134246Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8134335Z 26 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8134413Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.8134514Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8134601Z 32 LOAD_CONST 2 (1) 2022-11-23T01:37:54.8134675Z 34 BINARY_SUBSCR 2022-11-23T01:37:54.8134772Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8134846Z 38 LOAD_CONST 3 (2) 2022-11-23T01:37:54.8134921Z 40 BINARY_SUBSCR 2022-11-23T01:37:54.8135012Z 42 BUILD_TUPLE 3 2022-11-23T01:37:54.8135088Z 44 RETURN_VALUE 2022-11-23T01:37:54.8135093Z 2022-11-23T01:37:54.8135155Z 2022-11-23T01:37:54.8135344Z [2022-11-23 01:32:21,036] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.8135417Z - 2022-11-23T01:37:54.8135526Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.8135592Z { 2022-11-23T01:37:54.8135736Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.8135957Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 3'], 2022-11-23T01:37:54.8136084Z 'obj_weakref': None 2022-11-23T01:37:54.8136314Z 'guarded_class': 2022-11-23T01:37:54.8136379Z } 2022-11-23T01:37:54.8136429Z 2022-11-23T01:37:54.8136502Z - 2022-11-23T01:37:54.8136630Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.8136694Z { 2022-11-23T01:37:54.8136837Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8136948Z 'code': None, 2022-11-23T01:37:54.8137198Z 'obj_weakref': 2022-11-23T01:37:54.8137455Z 'guarded_class': 2022-11-23T01:37:54.8137506Z } 2022-11-23T01:37:54.8137574Z 2022-11-23T01:37:54.8137650Z - 2022-11-23T01:37:54.8137780Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.8137841Z { 2022-11-23T01:37:54.8137987Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8138084Z 'code': None, 2022-11-23T01:37:54.8138297Z 'obj_weakref': 2022-11-23T01:37:54.8138556Z 'guarded_class': 2022-11-23T01:37:54.8138618Z } 2022-11-23T01:37:54.8138680Z 2022-11-23T01:37:54.8138891Z - 2022-11-23T01:37:54.8139092Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:37:54.8139146Z { 2022-11-23T01:37:54.8139292Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8139399Z 'code': None, 2022-11-23T01:37:54.8139615Z 'obj_weakref': 2022-11-23T01:37:54.8139871Z 'guarded_class': 2022-11-23T01:37:54.8139935Z } 2022-11-23T01:37:54.8139996Z 2022-11-23T01:37:54.8140054Z - 2022-11-23T01:37:54.8140187Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.8140249Z { 2022-11-23T01:37:54.8140385Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.8140558Z 'code': ['___check_obj_id(model, 140538744296368)'], 2022-11-23T01:37:54.8140682Z 'obj_weakref': None 2022-11-23T01:37:54.8140915Z 'guarded_class': 2022-11-23T01:37:54.8140981Z } 2022-11-23T01:37:54.8141030Z 2022-11-23T01:37:54.8141101Z - 2022-11-23T01:37:54.8141226Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.8141288Z { 2022-11-23T01:37:54.8141426Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.8141646Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.8141755Z 'obj_weakref': None 2022-11-23T01:37:54.8141979Z 'guarded_class': 2022-11-23T01:37:54.8142042Z } 2022-11-23T01:37:54.8142104Z 2022-11-23T01:37:54.8142366Z [2022-11-23 01:32:21,044] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 188 2022-11-23T01:37:54.8142748Z [2022-11-23 01:32:22,434] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ig/cigiatwwewoacxtjcsyhtsspdwieslep7oudxjqv2flfpd5hne22.py 2022-11-23T01:37:54.8143020Z [2022-11-23 01:32:22,435] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 188 2022-11-23T01:37:54.8143026Z 2022-11-23T01:37:54.8143117Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.8143184Z import torch 2022-11-23T01:37:54.8143239Z import random 2022-11-23T01:37:54.8143409Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.8143535Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.8143540Z 2022-11-23T01:37:54.8143617Z aten = torch.ops.aten 2022-11-23T01:37:54.8143750Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.8143840Z async_compile = AsyncCompile() 2022-11-23T01:37:54.8143845Z 2022-11-23T01:37:54.8143850Z 2022-11-23T01:37:54.8143986Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.8144190Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.8144337Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.8144444Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.8144544Z const float* __restrict__ in_ptr2, 2022-11-23T01:37:54.8144643Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.8144742Z float* __restrict__ out_ptr1, 2022-11-23T01:37:54.8144837Z float* __restrict__ out_ptr2) 2022-11-23T01:37:54.8144898Z { 2022-11-23T01:37:54.8144968Z for(long i0=0; i0<256; i0+=1) 2022-11-23T01:37:54.8145029Z { 2022-11-23T01:37:54.8145167Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:54.8145295Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:54.8145377Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.8145464Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.8145522Z } 2022-11-23T01:37:54.8145600Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.8145681Z for(long i0=2048; i0<2048; i0+=1) 2022-11-23T01:37:54.8145740Z { 2022-11-23T01:37:54.8145820Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.8145898Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:54.8145975Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.8146052Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:54.8146101Z } 2022-11-23T01:37:54.8146175Z #pragma GCC ivdep 2022-11-23T01:37:54.8146255Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:54.8146313Z { 2022-11-23T01:37:54.8146388Z #pragma GCC ivdep 2022-11-23T01:37:54.8146468Z for(long i1=0; i1<16; i1+=1) 2022-11-23T01:37:54.8146518Z { 2022-11-23T01:37:54.8146597Z for(long i2=0; i2<2; i2+=1) 2022-11-23T01:37:54.8146659Z { 2022-11-23T01:37:54.8146806Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i2) + (16*i1) + (256*i0)); 2022-11-23T01:37:54.8146930Z auto tmp1 = at::vec::Vectorized(in_ptr2[i1]); 2022-11-23T01:37:54.8147072Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr1 + (8*i2) + (16*i1) + (256*i0)); 2022-11-23T01:37:54.8147205Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:37:54.8147291Z auto tmp4 = tmp3 * tmp1; 2022-11-23T01:37:54.8147389Z tmp2.store(out_ptr1 + (8*i2) + (16*i1) + (256*i0)); 2022-11-23T01:37:54.8147491Z tmp4.store(out_ptr2 + (8*i2) + (16*i1) + (256*i0)); 2022-11-23T01:37:54.8147552Z } 2022-11-23T01:37:54.8147642Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.8147727Z for(long i2=16; i2<16; i2+=1) 2022-11-23T01:37:54.8147787Z { 2022-11-23T01:37:54.8147889Z auto tmp0 = in_ptr0[i2 + (16*i1) + (256*i0)]; 2022-11-23T01:37:54.8147962Z auto tmp1 = in_ptr2[i1]; 2022-11-23T01:37:54.8148066Z auto tmp3 = in_ptr1[i2 + (16*i1) + (256*i0)]; 2022-11-23T01:37:54.8148290Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:37:54.8148376Z auto tmp4 = tmp3 * tmp1; 2022-11-23T01:37:54.8148472Z out_ptr1[i2 + (16*i1) + (256*i0)] = tmp2; 2022-11-23T01:37:54.8148567Z out_ptr2[i2 + (16*i1) + (256*i0)] = tmp4; 2022-11-23T01:37:54.8148630Z } 2022-11-23T01:37:54.8148679Z } 2022-11-23T01:37:54.8148739Z } 2022-11-23T01:37:54.8148834Z } 2022-11-23T01:37:54.8148918Z ''') 2022-11-23T01:37:54.8148924Z 2022-11-23T01:37:54.8148928Z 2022-11-23T01:37:54.8149017Z async_compile.wait(globals()) 2022-11-23T01:37:54.8149088Z del async_compile 2022-11-23T01:37:54.8149093Z 2022-11-23T01:37:54.8149160Z def call(args): 2022-11-23T01:37:54.8149239Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:54.8149297Z args.clear() 2022-11-23T01:37:54.8149509Z buf0 = empty_strided((8, 16, 16), (256, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8149720Z buf1 = empty_strided((8, 16, 16), (256, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8149962Z buf2 = empty_strided((8, 16, 16), (256, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8150199Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:37:54.8150268Z del arg0_1 2022-11-23T01:37:54.8150336Z del arg1_1 2022-11-23T01:37:54.8150389Z del arg2_1 2022-11-23T01:37:54.8150472Z return (buf0, buf1, buf2, ) 2022-11-23T01:37:54.8150477Z 2022-11-23T01:37:54.8150481Z 2022-11-23T01:37:54.8150558Z if __name__ == "__main__": 2022-11-23T01:37:54.8150671Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.8150791Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.8151000Z arg0_1 = rand_strided((8, 16, 16), (256, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8151211Z arg1_1 = rand_strided((8, 16, 16), (256, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8151419Z arg2_1 = rand_strided((1, 16, 1), (16, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8151530Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:54.8151546Z 2022-11-23T01:37:54.8151600Z ok (1.420s) 2022-11-23T01:37:54.8151925Z test_horizonal_fusion2_cpu (__main__.CpuTests) ... [2022-11-23 01:32:22,444] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.8152195Z [2022-11-23 01:32:22,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.8152417Z [2022-11-23 01:32:22,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.8152672Z [2022-11-23 01:32:22,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.8152961Z [2022-11-23 01:32:22,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.8153291Z [2022-11-23 01:32:22,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.8153623Z [2022-11-23 01:32:22,444] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.8153716Z 697 0 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8153794Z 2 LOAD_CONST 1 (1) 2022-11-23T01:37:54.8153865Z 4 BINARY_ADD 2022-11-23T01:37:54.8153952Z 6 LOAD_FAST 1 (b) 2022-11-23T01:37:54.8154037Z 8 LOAD_CONST 2 (2) 2022-11-23T01:37:54.8154104Z 10 BINARY_ADD 2022-11-23T01:37:54.8154191Z 12 LOAD_FAST 2 (c) 2022-11-23T01:37:54.8154274Z 14 LOAD_CONST 3 (3) 2022-11-23T01:37:54.8154332Z 16 BINARY_ADD 2022-11-23T01:37:54.8154420Z 18 BUILD_TUPLE 3 2022-11-23T01:37:54.8154494Z 20 RETURN_VALUE 2022-11-23T01:37:54.8154554Z 2022-11-23T01:37:54.8154559Z 2022-11-23T01:37:54.8154826Z [2022-11-23 01:32:22,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:697 2022-11-23T01:37:54.8155068Z [2022-11-23 01:32:22,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:54.8155314Z [2022-11-23 01:32:22,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:37:54.8155599Z [2022-11-23 01:32:22,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8155824Z [2022-11-23 01:32:22,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:54.8156092Z [2022-11-23 01:32:22,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8156439Z [2022-11-23 01:32:22,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8156704Z [2022-11-23 01:32:22,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8157001Z [2022-11-23 01:32:22,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8157339Z [2022-11-23 01:32:22,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8157636Z [2022-11-23 01:32:22,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8157883Z [2022-11-23 01:32:22,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.8158218Z [2022-11-23 01:32:22,448] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.8158467Z [2022-11-23 01:32:22,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.8158694Z [2022-11-23 01:32:22,448] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.8158951Z [2022-11-23 01:32:22,449] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.8159201Z [2022-11-23 01:32:22,454] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.8159394Z [2022-11-23 01:32:22,454] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.8159528Z __compiled_fn_190 .1604 opcode, name, target, args, kwargs 2022-11-23T01:37:54.8159617Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.8159705Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.8159787Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:37:54.8159950Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:54.8160125Z call_function, add_1, , (ex_1_, 2), {} 2022-11-23T01:37:54.8160299Z call_function, add_2, , (ex_2_, 3), {} 2022-11-23T01:37:54.8160410Z output, output, output, ((add, add_1, add_2),), {} 2022-11-23T01:37:54.8160415Z 2022-11-23T01:37:54.8160696Z [2022-11-23 01:32:22,454] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8160788Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.8160880Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8160971Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.8161048Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.8161123Z 8 RETURN_VALUE 2022-11-23T01:37:54.8161130Z 2022-11-23T01:37:54.8161188Z 2022-11-23T01:37:54.8161463Z [2022-11-23 01:32:22,455] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8161569Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_190) 2022-11-23T01:37:54.8161656Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8161773Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8161849Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.8161927Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8162014Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.8162088Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.8162174Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8162258Z 16 LOAD_CONST 3 (2) 2022-11-23T01:37:54.8162331Z 18 BINARY_SUBSCR 2022-11-23T01:37:54.8162417Z 20 CALL_FUNCTION 3 2022-11-23T01:37:54.8162535Z 22 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8162636Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8162723Z 26 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8162796Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.8162896Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8162983Z 32 LOAD_CONST 2 (1) 2022-11-23T01:37:54.8163057Z 34 BINARY_SUBSCR 2022-11-23T01:37:54.8163142Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8163227Z 38 LOAD_CONST 3 (2) 2022-11-23T01:37:54.8163300Z 40 BINARY_SUBSCR 2022-11-23T01:37:54.8163386Z 42 BUILD_TUPLE 3 2022-11-23T01:37:54.8163460Z 44 RETURN_VALUE 2022-11-23T01:37:54.8163465Z 2022-11-23T01:37:54.8163523Z 2022-11-23T01:37:54.8163709Z [2022-11-23 01:32:22,455] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.8163771Z - 2022-11-23T01:37:54.8163891Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.8163954Z { 2022-11-23T01:37:54.8164094Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.8164283Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 3'], 2022-11-23T01:37:54.8164406Z 'obj_weakref': None 2022-11-23T01:37:54.8164634Z 'guarded_class': 2022-11-23T01:37:54.8164687Z } 2022-11-23T01:37:54.8164749Z 2022-11-23T01:37:54.8164818Z - 2022-11-23T01:37:54.8164947Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.8165010Z { 2022-11-23T01:37:54.8165152Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8165261Z 'code': None, 2022-11-23T01:37:54.8165463Z 'obj_weakref': 2022-11-23T01:37:54.8165722Z 'guarded_class': 2022-11-23T01:37:54.8165786Z } 2022-11-23T01:37:54.8165848Z 2022-11-23T01:37:54.8165916Z - 2022-11-23T01:37:54.8166041Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.8166104Z { 2022-11-23T01:37:54.8166239Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8166346Z 'code': None, 2022-11-23T01:37:54.8166558Z 'obj_weakref': 2022-11-23T01:37:54.8166814Z 'guarded_class': 2022-11-23T01:37:54.8166879Z } 2022-11-23T01:37:54.8166938Z 2022-11-23T01:37:54.8167007Z - 2022-11-23T01:37:54.8167118Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:37:54.8167180Z { 2022-11-23T01:37:54.8167326Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8167434Z 'code': None, 2022-11-23T01:37:54.8167645Z 'obj_weakref': 2022-11-23T01:37:54.8167903Z 'guarded_class': 2022-11-23T01:37:54.8167999Z } 2022-11-23T01:37:54.8168052Z 2022-11-23T01:37:54.8168122Z - 2022-11-23T01:37:54.8168252Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.8168315Z { 2022-11-23T01:37:54.8168451Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.8168621Z 'code': ['___check_obj_id(model, 140538744207408)'], 2022-11-23T01:37:54.8168743Z 'obj_weakref': None 2022-11-23T01:37:54.8168962Z 'guarded_class': 2022-11-23T01:37:54.8169024Z } 2022-11-23T01:37:54.8169135Z 2022-11-23T01:37:54.8169209Z - 2022-11-23T01:37:54.8169337Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.8169401Z { 2022-11-23T01:37:54.8169539Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.8169745Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.8169870Z 'obj_weakref': None 2022-11-23T01:37:54.8170094Z 'guarded_class': 2022-11-23T01:37:54.8170161Z } 2022-11-23T01:37:54.8170225Z 2022-11-23T01:37:54.8170490Z [2022-11-23 01:32:22,463] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 189 2022-11-23T01:37:54.8170864Z [2022-11-23 01:32:23,862] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/uh/cuhaenl2i2at2ntxbntqkdolqt5p4uowgbpqx6zt7mlfgx5ddq5c.py 2022-11-23T01:37:54.8171131Z [2022-11-23 01:32:23,863] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 189 2022-11-23T01:37:54.8171139Z 2022-11-23T01:37:54.8171220Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.8171290Z import torch 2022-11-23T01:37:54.8171359Z import random 2022-11-23T01:37:54.8171474Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.8171599Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.8171604Z 2022-11-23T01:37:54.8171685Z aten = torch.ops.aten 2022-11-23T01:37:54.8171818Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.8171912Z async_compile = AsyncCompile() 2022-11-23T01:37:54.8171917Z 2022-11-23T01:37:54.8171921Z 2022-11-23T01:37:54.8172045Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.8172256Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.8172376Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.8172484Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.8172588Z const float* __restrict__ in_ptr2, 2022-11-23T01:37:54.8172687Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.8172785Z float* __restrict__ out_ptr1, 2022-11-23T01:37:54.8172883Z float* __restrict__ out_ptr2) 2022-11-23T01:37:54.8172930Z { 2022-11-23T01:37:54.8173012Z for(long i0=0; i0<128; i0+=1) 2022-11-23T01:37:54.8173073Z { 2022-11-23T01:37:54.8173214Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:54.8173347Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:54.8173431Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.8173520Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.8173569Z } 2022-11-23T01:37:54.8173658Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.8173740Z for(long i0=1024; i0<1024; i0+=1) 2022-11-23T01:37:54.8173804Z { 2022-11-23T01:37:54.8173888Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.8173984Z auto tmp1 = static_cast(1); 2022-11-23T01:37:54.8174066Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.8174130Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:54.8174190Z } 2022-11-23T01:37:54.8174266Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:37:54.8174359Z { 2022-11-23T01:37:54.8174490Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:54.8174622Z auto tmp1 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:37:54.8174702Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.8174775Z tmp2.store(out_ptr1 + 8*i0); 2022-11-23T01:37:54.8174836Z } 2022-11-23T01:37:54.8174924Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.8175006Z for(long i0=128; i0<128; i0+=1) 2022-11-23T01:37:54.8175063Z { 2022-11-23T01:37:54.8175142Z auto tmp0 = in_ptr1[i0]; 2022-11-23T01:37:54.8175255Z auto tmp1 = static_cast(2); 2022-11-23T01:37:54.8175334Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.8175408Z out_ptr1[i0] = tmp2; 2022-11-23T01:37:54.8175468Z } 2022-11-23T01:37:54.8175547Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:37:54.8175604Z { 2022-11-23T01:37:54.8175733Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr2 + 8*i0); 2022-11-23T01:37:54.8175862Z auto tmp1 = at::vec::Vectorized(static_cast(3)); 2022-11-23T01:37:54.8175931Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.8176016Z tmp2.store(out_ptr2 + 8*i0); 2022-11-23T01:37:54.8176073Z } 2022-11-23T01:37:54.8176157Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.8176234Z for(long i0=128; i0<128; i0+=1) 2022-11-23T01:37:54.8176292Z { 2022-11-23T01:37:54.8176359Z auto tmp0 = in_ptr2[i0]; 2022-11-23T01:37:54.8176451Z auto tmp1 = static_cast(3); 2022-11-23T01:37:54.8176529Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.8176607Z out_ptr2[i0] = tmp2; 2022-11-23T01:37:54.8176666Z } 2022-11-23T01:37:54.8176724Z } 2022-11-23T01:37:54.8176805Z ''') 2022-11-23T01:37:54.8176811Z 2022-11-23T01:37:54.8176815Z 2022-11-23T01:37:54.8176889Z async_compile.wait(globals()) 2022-11-23T01:37:54.8176959Z del async_compile 2022-11-23T01:37:54.8176964Z 2022-11-23T01:37:54.8177035Z def call(args): 2022-11-23T01:37:54.8177115Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:54.8177183Z args.clear() 2022-11-23T01:37:54.8177391Z buf0 = empty_strided((8, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8177590Z buf1 = empty_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8177788Z buf2 = empty_strided((16, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8178011Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:37:54.8178081Z del arg0_1 2022-11-23T01:37:54.8178145Z del arg1_1 2022-11-23T01:37:54.8178209Z del arg2_1 2022-11-23T01:37:54.8178289Z return (buf0, buf1, buf2, ) 2022-11-23T01:37:54.8178294Z 2022-11-23T01:37:54.8178298Z 2022-11-23T01:37:54.8178373Z if __name__ == "__main__": 2022-11-23T01:37:54.8178487Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.8178608Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.8178977Z arg0_1 = rand_strided((8, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8179233Z arg1_1 = rand_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8179434Z arg2_1 = rand_strided((16, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8179556Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:54.8179561Z 2022-11-23T01:37:54.8179627Z ok (1.428s) 2022-11-23T01:37:54.8179940Z test_index1_cpu (__main__.CpuTests) ... [2022-11-23 01:32:23,872] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.8180214Z [2022-11-23 01:32:23,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.8180495Z [2022-11-23 01:32:23,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.8180744Z [2022-11-23 01:32:23,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.8181034Z [2022-11-23 01:32:23,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.8181360Z [2022-11-23 01:32:23,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.8181691Z [2022-11-23 01:32:23,872] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.8181826Z 2813 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.8181918Z 2 LOAD_METHOD 1 (index) 2022-11-23T01:37:54.8182007Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8182096Z 6 LOAD_FAST 1 (b) 2022-11-23T01:37:54.8182185Z 8 LOAD_FAST 2 (c) 2022-11-23T01:37:54.8182262Z 10 BUILD_LIST 2 2022-11-23T01:37:54.8182347Z 12 CALL_METHOD 2 2022-11-23T01:37:54.8182421Z 14 RETURN_VALUE 2022-11-23T01:37:54.8182480Z 2022-11-23T01:37:54.8182485Z 2022-11-23T01:37:54.8182761Z [2022-11-23 01:32:23,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2813 2022-11-23T01:37:54.8182981Z [2022-11-23 01:32:23,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.8183293Z [2022-11-23 01:32:23,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index [TorchVariable()] 2022-11-23T01:37:54.8183546Z [2022-11-23 01:32:23,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index)] 2022-11-23T01:37:54.8183817Z [2022-11-23 01:32:23,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index), TensorVariable()] 2022-11-23T01:37:54.8184127Z [2022-11-23 01:32:23,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8184465Z [2022-11-23 01:32:23,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.index), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8184777Z [2022-11-23 01:32:23,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.index), TensorVariable(), ListVariable()] 2022-11-23T01:37:54.8185029Z [2022-11-23 01:32:23,880] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.8185358Z [2022-11-23 01:32:23,880] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.8185610Z [2022-11-23 01:32:23,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.8185847Z [2022-11-23 01:32:23,881] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.8186102Z [2022-11-23 01:32:23,882] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.8186352Z [2022-11-23 01:32:23,885] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.8186531Z [2022-11-23 01:32:23,885] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.8186667Z __compiled_fn_191 .1610 opcode, name, target, args, kwargs 2022-11-23T01:37:54.8186757Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.8186842Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.8186924Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:37:54.8187043Z call_function, index, aten.index, (ex_0_, [ex_1_, ex_2_]), {} 2022-11-23T01:37:54.8187138Z output, output, output, ((index,),), {} 2022-11-23T01:37:54.8187174Z 2022-11-23T01:37:54.8187454Z [2022-11-23 01:32:23,886] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8187536Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.8187626Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8187716Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.8187804Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.8187879Z 8 RETURN_VALUE 2022-11-23T01:37:54.8187884Z 2022-11-23T01:37:54.8187942Z 2022-11-23T01:37:54.8188322Z [2022-11-23 01:32:23,886] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8188433Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_191) 2022-11-23T01:37:54.8188510Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8188599Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8188679Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.8188768Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8188854Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.8188928Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.8189012Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8189087Z 16 LOAD_CONST 3 (2) 2022-11-23T01:37:54.8189162Z 18 BINARY_SUBSCR 2022-11-23T01:37:54.8189250Z 20 CALL_FUNCTION 3 2022-11-23T01:37:54.8189341Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.8189417Z 24 RETURN_VALUE 2022-11-23T01:37:54.8189422Z 2022-11-23T01:37:54.8189482Z 2022-11-23T01:37:54.8189670Z [2022-11-23 01:32:23,887] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.8189731Z - 2022-11-23T01:37:54.8189913Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.8190013Z { 2022-11-23T01:37:54.8190197Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.8190389Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 3'], 2022-11-23T01:37:54.8190510Z 'obj_weakref': None 2022-11-23T01:37:54.8190737Z 'guarded_class': 2022-11-23T01:37:54.8190790Z } 2022-11-23T01:37:54.8190851Z 2022-11-23T01:37:54.8190919Z - 2022-11-23T01:37:54.8191045Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.8191107Z { 2022-11-23T01:37:54.8191250Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8191363Z 'code': None, 2022-11-23T01:37:54.8191563Z 'obj_weakref': 2022-11-23T01:37:54.8191817Z 'guarded_class': 2022-11-23T01:37:54.8191884Z } 2022-11-23T01:37:54.8191949Z 2022-11-23T01:37:54.8192019Z - 2022-11-23T01:37:54.8192144Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.8192207Z { 2022-11-23T01:37:54.8192337Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8192442Z 'code': None, 2022-11-23T01:37:54.8192651Z 'obj_weakref': 2022-11-23T01:37:54.8192901Z 'guarded_class': 2022-11-23T01:37:54.8192966Z } 2022-11-23T01:37:54.8193029Z 2022-11-23T01:37:54.8193098Z - 2022-11-23T01:37:54.8193212Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:37:54.8193272Z { 2022-11-23T01:37:54.8193414Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8193523Z 'code': None, 2022-11-23T01:37:54.8193778Z 'obj_weakref': 2022-11-23T01:37:54.8194033Z 'guarded_class': 2022-11-23T01:37:54.8194095Z } 2022-11-23T01:37:54.8194143Z 2022-11-23T01:37:54.8194211Z - 2022-11-23T01:37:54.8194341Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.8194401Z { 2022-11-23T01:37:54.8194535Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.8194710Z 'code': ['___check_obj_id(model, 140538739208704)'], 2022-11-23T01:37:54.8194832Z 'obj_weakref': None 2022-11-23T01:37:54.8195088Z 'guarded_class': 2022-11-23T01:37:54.8195152Z } 2022-11-23T01:37:54.8195213Z 2022-11-23T01:37:54.8195284Z - 2022-11-23T01:37:54.8195407Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.8195469Z { 2022-11-23T01:37:54.8195608Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.8195815Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.8195934Z 'obj_weakref': None 2022-11-23T01:37:54.8196157Z 'guarded_class': 2022-11-23T01:37:54.8196220Z } 2022-11-23T01:37:54.8196282Z 2022-11-23T01:37:54.8196350Z - 2022-11-23T01:37:54.8196484Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.8196534Z { 2022-11-23T01:37:54.8196658Z 'guard_types': None, 2022-11-23T01:37:54.8196766Z 'code': None, 2022-11-23T01:37:54.8196884Z 'obj_weakref': None 2022-11-23T01:37:54.8197006Z 'guarded_class': None 2022-11-23T01:37:54.8197068Z } 2022-11-23T01:37:54.8197126Z 2022-11-23T01:37:54.8197379Z [2022-11-23 01:32:23,893] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 190 2022-11-23T01:37:54.8197743Z [2022-11-23 01:32:25,274] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5m/c5mx2g7y22ue73em6lstfph6s6gerv6hzhghxf7ezp7ab44pozxz.py 2022-11-23T01:37:54.8198009Z [2022-11-23 01:32:25,275] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 190 2022-11-23T01:37:54.8198250Z [2022-11-23 01:32:25,281] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.8198521Z [2022-11-23 01:32:25,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.8198745Z [2022-11-23 01:32:25,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.8199000Z [2022-11-23 01:32:25,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.8199290Z [2022-11-23 01:32:25,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.8199616Z [2022-11-23 01:32:25,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.8199936Z [2022-11-23 01:32:25,282] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.8200033Z 2813 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.8200125Z 2 LOAD_METHOD 1 (index) 2022-11-23T01:37:54.8200218Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8200304Z 6 LOAD_FAST 1 (b) 2022-11-23T01:37:54.8200390Z 8 LOAD_FAST 2 (c) 2022-11-23T01:37:54.8200476Z 10 BUILD_LIST 2 2022-11-23T01:37:54.8200619Z 12 CALL_METHOD 2 2022-11-23T01:37:54.8200724Z 14 RETURN_VALUE 2022-11-23T01:37:54.8200867Z 2022-11-23T01:37:54.8200878Z 2022-11-23T01:37:54.8201238Z [2022-11-23 01:32:25,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2813 2022-11-23T01:37:54.8201465Z [2022-11-23 01:32:25,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.8201772Z [2022-11-23 01:32:25,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index [TorchVariable()] 2022-11-23T01:37:54.8202026Z [2022-11-23 01:32:25,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index)] 2022-11-23T01:37:54.8202346Z [2022-11-23 01:32:25,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index), TensorVariable()] 2022-11-23T01:37:54.8202656Z [2022-11-23 01:32:25,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8202996Z [2022-11-23 01:32:25,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.index), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8203298Z [2022-11-23 01:32:25,289] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.index), TensorVariable(), ListVariable()] 2022-11-23T01:37:54.8203549Z [2022-11-23 01:32:25,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.8203878Z [2022-11-23 01:32:25,290] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.8204129Z [2022-11-23 01:32:25,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.8204372Z [2022-11-23 01:32:25,290] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.8204632Z [2022-11-23 01:32:25,291] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.8204885Z [2022-11-23 01:32:25,295] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.8205075Z [2022-11-23 01:32:25,295] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.8205210Z __compiled_fn_192 .1616 opcode, name, target, args, kwargs 2022-11-23T01:37:54.8205287Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.8205373Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.8205457Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:37:54.8205579Z call_function, index, aten.index, (ex_0_, [ex_1_, ex_2_]), {} 2022-11-23T01:37:54.8205673Z output, output, output, ((index,),), {} 2022-11-23T01:37:54.8205678Z 2022-11-23T01:37:54.8205957Z [2022-11-23 01:32:25,296] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8206051Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.8206142Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8206222Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.8206311Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.8206388Z 8 RETURN_VALUE 2022-11-23T01:37:54.8206393Z 2022-11-23T01:37:54.8206454Z 2022-11-23T01:37:54.8206730Z [2022-11-23 01:32:25,296] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8206839Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_192) 2022-11-23T01:37:54.8206927Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8207006Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8207081Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.8207169Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8207254Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.8207326Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.8207438Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8207524Z 16 LOAD_CONST 3 (2) 2022-11-23T01:37:54.8207588Z 18 BINARY_SUBSCR 2022-11-23T01:37:54.8207674Z 20 CALL_FUNCTION 3 2022-11-23T01:37:54.8207762Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.8207835Z 24 RETURN_VALUE 2022-11-23T01:37:54.8207839Z 2022-11-23T01:37:54.8207897Z 2022-11-23T01:37:54.8208082Z [2022-11-23 01:32:25,297] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.8208154Z - 2022-11-23T01:37:54.8208355Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.8208407Z { 2022-11-23T01:37:54.8208549Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.8208739Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 3'], 2022-11-23T01:37:54.8208863Z 'obj_weakref': None 2022-11-23T01:37:54.8209093Z 'guarded_class': 2022-11-23T01:37:54.8209158Z } 2022-11-23T01:37:54.8209220Z 2022-11-23T01:37:54.8209276Z - 2022-11-23T01:37:54.8209403Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.8209468Z { 2022-11-23T01:37:54.8209614Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8209724Z 'code': None, 2022-11-23T01:37:54.8209943Z 'obj_weakref': 2022-11-23T01:37:54.8210200Z 'guarded_class': 2022-11-23T01:37:54.8210255Z } 2022-11-23T01:37:54.8210318Z 2022-11-23T01:37:54.8210391Z - 2022-11-23T01:37:54.8210516Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.8210585Z { 2022-11-23T01:37:54.8210731Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8210844Z 'code': None, 2022-11-23T01:37:54.8211044Z 'obj_weakref': 2022-11-23T01:37:54.8211300Z 'guarded_class': 2022-11-23T01:37:54.8211366Z } 2022-11-23T01:37:54.8211430Z 2022-11-23T01:37:54.8211501Z - 2022-11-23T01:37:54.8211638Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:37:54.8211740Z { 2022-11-23T01:37:54.8211927Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8212046Z 'code': None, 2022-11-23T01:37:54.8212261Z 'obj_weakref': 2022-11-23T01:37:54.8212515Z 'guarded_class': 2022-11-23T01:37:54.8212581Z } 2022-11-23T01:37:54.8212647Z 2022-11-23T01:37:54.8212721Z - 2022-11-23T01:37:54.8212842Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.8212905Z { 2022-11-23T01:37:54.8213045Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.8213220Z 'code': ['___check_obj_id(model, 140538739208704)'], 2022-11-23T01:37:54.8213341Z 'obj_weakref': None 2022-11-23T01:37:54.8213575Z 'guarded_class': 2022-11-23T01:37:54.8213639Z } 2022-11-23T01:37:54.8213688Z 2022-11-23T01:37:54.8213758Z - 2022-11-23T01:37:54.8213888Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.8213952Z { 2022-11-23T01:37:54.8214092Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.8214314Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.8214437Z 'obj_weakref': None 2022-11-23T01:37:54.8214682Z 'guarded_class': 2022-11-23T01:37:54.8214751Z } 2022-11-23T01:37:54.8214815Z 2022-11-23T01:37:54.8214885Z - 2022-11-23T01:37:54.8215020Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.8215084Z { 2022-11-23T01:37:54.8215206Z 'guard_types': None, 2022-11-23T01:37:54.8215303Z 'code': None, 2022-11-23T01:37:54.8215422Z 'obj_weakref': None 2022-11-23T01:37:54.8215546Z 'guarded_class': None 2022-11-23T01:37:54.8215609Z } 2022-11-23T01:37:54.8215716Z 2022-11-23T01:37:54.8215977Z [2022-11-23 01:32:25,303] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 191 2022-11-23T01:37:54.8216349Z [2022-11-23 01:32:26,697] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/d7/cd7jbojbph3y7fi252m5nq55hammcuyqdvlkfuiznwhhhiflpuur.py 2022-11-23T01:37:54.8216608Z [2022-11-23 01:32:26,697] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 191 2022-11-23T01:37:54.8216626Z 2022-11-23T01:37:54.8216708Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.8216776Z import torch 2022-11-23T01:37:54.8216844Z import random 2022-11-23T01:37:54.8216959Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.8217078Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.8217083Z 2022-11-23T01:37:54.8217157Z aten = torch.ops.aten 2022-11-23T01:37:54.8217290Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.8217371Z async_compile = AsyncCompile() 2022-11-23T01:37:54.8217376Z 2022-11-23T01:37:54.8217380Z 2022-11-23T01:37:54.8217515Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.8217719Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.8217837Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:37:54.8217942Z const long* __restrict__ in_ptr1, 2022-11-23T01:37:54.8218051Z const float* __restrict__ in_ptr2, 2022-11-23T01:37:54.8218150Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.8218214Z { 2022-11-23T01:37:54.8218277Z #pragma GCC ivdep 2022-11-23T01:37:54.8218356Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:54.8218416Z { 2022-11-23T01:37:54.8218494Z #pragma GCC ivdep 2022-11-23T01:37:54.8218574Z for(long i1=0; i1<12; i1+=1) 2022-11-23T01:37:54.8218636Z { 2022-11-23T01:37:54.8218689Z { 2022-11-23T01:37:54.8218890Z { 2022-11-23T01:37:54.8219035Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.8219132Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:54.8219242Z auto tmp2 = in_ptr2[i1 + (12*tmp1) + (96*tmp0)]; 2022-11-23T01:37:54.8219333Z out_ptr0[i1 + (12*i0)] = tmp2; 2022-11-23T01:37:54.8219399Z } 2022-11-23T01:37:54.8219450Z } 2022-11-23T01:37:54.8219511Z } 2022-11-23T01:37:54.8219572Z } 2022-11-23T01:37:54.8219629Z } 2022-11-23T01:37:54.8219711Z ''') 2022-11-23T01:37:54.8219717Z 2022-11-23T01:37:54.8219721Z 2022-11-23T01:37:54.8219809Z async_compile.wait(globals()) 2022-11-23T01:37:54.8219880Z del async_compile 2022-11-23T01:37:54.8219885Z 2022-11-23T01:37:54.8219941Z def call(args): 2022-11-23T01:37:54.8220021Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:54.8220091Z args.clear() 2022-11-23T01:37:54.8220294Z buf0 = empty_strided((4, 12), (12, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8220486Z kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.8220554Z del arg0_1 2022-11-23T01:37:54.8220618Z del arg1_1 2022-11-23T01:37:54.8220671Z del arg2_1 2022-11-23T01:37:54.8220740Z return (buf0, ) 2022-11-23T01:37:54.8220804Z 2022-11-23T01:37:54.8220810Z 2022-11-23T01:37:54.8220887Z if __name__ == "__main__": 2022-11-23T01:37:54.8221000Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.8221125Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.8221339Z arg0_1 = rand_strided((8, 8, 12), (96, 12, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8221531Z arg1_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.8221723Z arg2_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.8221872Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:54.8221890Z 2022-11-23T01:37:54.8221894Z 2022-11-23T01:37:54.8221975Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.8222044Z import torch 2022-11-23T01:37:54.8222113Z import random 2022-11-23T01:37:54.8222227Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.8222409Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.8222416Z 2022-11-23T01:37:54.8222534Z aten = torch.ops.aten 2022-11-23T01:37:54.8222743Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.8222883Z async_compile = AsyncCompile() 2022-11-23T01:37:54.8222903Z 2022-11-23T01:37:54.8222908Z 2022-11-23T01:37:54.8223042Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.8223249Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.8223366Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:37:54.8223471Z const long* __restrict__ in_ptr1, 2022-11-23T01:37:54.8223575Z const float* __restrict__ in_ptr2, 2022-11-23T01:37:54.8223674Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.8223734Z { 2022-11-23T01:37:54.8223798Z #pragma GCC ivdep 2022-11-23T01:37:54.8223876Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:54.8223937Z { 2022-11-23T01:37:54.8224013Z #pragma GCC ivdep 2022-11-23T01:37:54.8224095Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:37:54.8224155Z { 2022-11-23T01:37:54.8224230Z #pragma GCC ivdep 2022-11-23T01:37:54.8224302Z for(long i2=0; i2<12; i2+=1) 2022-11-23T01:37:54.8224368Z { 2022-11-23T01:37:54.8224432Z { 2022-11-23T01:37:54.8224497Z { 2022-11-23T01:37:54.8224589Z auto tmp0 = in_ptr0[i1]; 2022-11-23T01:37:54.8224681Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:54.8224793Z auto tmp2 = in_ptr2[i2 + (12*tmp1) + (96*tmp0)]; 2022-11-23T01:37:54.8224882Z out_ptr0[i2 + (12*i1) + (48*i0)] = tmp2; 2022-11-23T01:37:54.8224946Z } 2022-11-23T01:37:54.8225009Z } 2022-11-23T01:37:54.8225071Z } 2022-11-23T01:37:54.8225132Z } 2022-11-23T01:37:54.8225191Z } 2022-11-23T01:37:54.8225240Z } 2022-11-23T01:37:54.8225319Z ''') 2022-11-23T01:37:54.8225324Z 2022-11-23T01:37:54.8225328Z 2022-11-23T01:37:54.8225415Z async_compile.wait(globals()) 2022-11-23T01:37:54.8225486Z del async_compile 2022-11-23T01:37:54.8225491Z 2022-11-23T01:37:54.8225559Z def call(args): 2022-11-23T01:37:54.8225637Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:54.8225706Z args.clear() 2022-11-23T01:37:54.8225911Z buf0 = empty_strided((4, 4, 12), (48, 12, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8226086Z kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.8226158Z del arg0_1 2022-11-23T01:37:54.8226223Z del arg1_1 2022-11-23T01:37:54.8226285Z del arg2_1 2022-11-23T01:37:54.8226354Z return (buf0, ) 2022-11-23T01:37:54.8226359Z 2022-11-23T01:37:54.8226363Z 2022-11-23T01:37:54.8226436Z if __name__ == "__main__": 2022-11-23T01:37:54.8226591Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.8226704Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.8226911Z arg0_1 = rand_strided((8, 8, 12), (96, 12, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8227104Z arg1_1 = rand_strided((1, 4), (4, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.8227297Z arg2_1 = rand_strided((4, 1), (1, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.8227417Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:54.8227422Z 2022-11-23T01:37:54.8227486Z ok (2.834s) 2022-11-23T01:37:54.8227828Z test_index2_cpu (__main__.CpuTests) ... [2022-11-23 01:32:26,705] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.8228177Z [2022-11-23 01:32:26,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.8228413Z [2022-11-23 01:32:26,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.8228660Z [2022-11-23 01:32:26,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.8228949Z [2022-11-23 01:32:26,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.8229276Z [2022-11-23 01:32:26,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.8229610Z [2022-11-23 01:32:26,706] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.8229707Z 2835 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.8229799Z 2 LOAD_METHOD 1 (index) 2022-11-23T01:37:54.8229887Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8229976Z 6 LOAD_FAST 1 (b) 2022-11-23T01:37:54.8230053Z 8 BUILD_LIST 1 2022-11-23T01:37:54.8230141Z 10 CALL_METHOD 2 2022-11-23T01:37:54.8230146Z 2022-11-23T01:37:54.8230239Z 2836 12 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.8230330Z 14 LOAD_METHOD 1 (index) 2022-11-23T01:37:54.8230417Z 16 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8230508Z 18 LOAD_CONST 0 (None) 2022-11-23T01:37:54.8230595Z 20 LOAD_FAST 1 (b) 2022-11-23T01:37:54.8230678Z 22 BUILD_LIST 2 2022-11-23T01:37:54.8230754Z 24 CALL_METHOD 2 2022-11-23T01:37:54.8230838Z 26 BUILD_TUPLE 2 2022-11-23T01:37:54.8230912Z 28 RETURN_VALUE 2022-11-23T01:37:54.8230971Z 2022-11-23T01:37:54.8230976Z 2022-11-23T01:37:54.8231247Z [2022-11-23 01:32:26,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2835 2022-11-23T01:37:54.8231468Z [2022-11-23 01:32:26,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.8231774Z [2022-11-23 01:32:26,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index [TorchVariable()] 2022-11-23T01:37:54.8232027Z [2022-11-23 01:32:26,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index)] 2022-11-23T01:37:54.8232297Z [2022-11-23 01:32:26,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index), TensorVariable()] 2022-11-23T01:37:54.8232612Z [2022-11-23 01:32:26,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8232920Z [2022-11-23 01:32:26,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.index), TensorVariable(), ListVariable()] 2022-11-23T01:37:54.8233219Z [2022-11-23 01:32:26,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2836 2022-11-23T01:37:54.8233473Z [2022-11-23 01:32:26,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:54.8233807Z [2022-11-23 01:32:26,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.8234086Z [2022-11-23 01:32:26,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.index)] 2022-11-23T01:37:54.8234402Z [2022-11-23 01:32:26,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.index), TensorVariable()] 2022-11-23T01:37:54.8234794Z [2022-11-23 01:32:26,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.index), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:54.8235183Z [2022-11-23 01:32:26,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(aten.index), TensorVariable(), ConstantVariable(NoneType), TensorVariable()] 2022-11-23T01:37:54.8235522Z [2022-11-23 01:32:26,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.index), TensorVariable(), ListVariable()] 2022-11-23T01:37:54.8235779Z [2022-11-23 01:32:26,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8236026Z [2022-11-23 01:32:26,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.8236361Z [2022-11-23 01:32:26,721] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.8236608Z [2022-11-23 01:32:26,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.8236845Z [2022-11-23 01:32:26,721] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.8237100Z [2022-11-23 01:32:26,722] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.8237354Z [2022-11-23 01:32:26,726] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.8237543Z [2022-11-23 01:32:26,726] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.8237676Z __compiled_fn_193 .1622 opcode, name, target, args, kwargs 2022-11-23T01:37:54.8237753Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.8237841Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.8237952Z call_function, index, aten.index, (ex_0_, [ex_1_]), {} 2022-11-23T01:37:54.8238072Z call_function, index_1, aten.index, (ex_0_, [None, ex_1_]), {} 2022-11-23T01:37:54.8238177Z output, output, output, ((index, index_1),), {} 2022-11-23T01:37:54.8238183Z 2022-11-23T01:37:54.8238463Z [2022-11-23 01:32:26,726] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8238555Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.8238642Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8238721Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.8238810Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.8238885Z 8 RETURN_VALUE 2022-11-23T01:37:54.8238891Z 2022-11-23T01:37:54.8238948Z 2022-11-23T01:37:54.8239226Z [2022-11-23 01:32:26,726] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8239332Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_193) 2022-11-23T01:37:54.8239423Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8239511Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8239575Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.8239689Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8239777Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.8239849Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.8239937Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.8240039Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8240141Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8240217Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8240291Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.8240390Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8240506Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:54.8240580Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.8240666Z 30 BUILD_TUPLE 2 2022-11-23T01:37:54.8240742Z 32 RETURN_VALUE 2022-11-23T01:37:54.8240747Z 2022-11-23T01:37:54.8240794Z 2022-11-23T01:37:54.8240983Z [2022-11-23 01:32:26,727] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.8241054Z - 2022-11-23T01:37:54.8241175Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.8241236Z { 2022-11-23T01:37:54.8241380Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.8241569Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.8241678Z 'obj_weakref': None 2022-11-23T01:37:54.8241901Z 'guarded_class': 2022-11-23T01:37:54.8241968Z } 2022-11-23T01:37:54.8242029Z 2022-11-23T01:37:54.8242097Z - 2022-11-23T01:37:54.8242222Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.8242283Z { 2022-11-23T01:37:54.8242414Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8242520Z 'code': None, 2022-11-23T01:37:54.8242740Z 'obj_weakref': 2022-11-23T01:37:54.8242998Z 'guarded_class': 2022-11-23T01:37:54.8243059Z } 2022-11-23T01:37:54.8243121Z 2022-11-23T01:37:54.8243192Z - 2022-11-23T01:37:54.8243304Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.8243366Z { 2022-11-23T01:37:54.8243510Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8243619Z 'code': None, 2022-11-23T01:37:54.8243833Z 'obj_weakref': 2022-11-23T01:37:54.8244090Z 'guarded_class': 2022-11-23T01:37:54.8244153Z } 2022-11-23T01:37:54.8244203Z 2022-11-23T01:37:54.8244272Z - 2022-11-23T01:37:54.8244404Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.8244467Z { 2022-11-23T01:37:54.8244601Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.8244771Z 'code': ['___check_obj_id(model, 140538745520352)'], 2022-11-23T01:37:54.8244891Z 'obj_weakref': None 2022-11-23T01:37:54.8245109Z 'guarded_class': 2022-11-23T01:37:54.8245171Z } 2022-11-23T01:37:54.8245233Z 2022-11-23T01:37:54.8245303Z - 2022-11-23T01:37:54.8245426Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.8245487Z { 2022-11-23T01:37:54.8245626Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.8245831Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.8245950Z 'obj_weakref': None 2022-11-23T01:37:54.8246170Z 'guarded_class': 2022-11-23T01:37:54.8246260Z } 2022-11-23T01:37:54.8246324Z 2022-11-23T01:37:54.8246394Z - 2022-11-23T01:37:54.8246526Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.8246575Z { 2022-11-23T01:37:54.8246694Z 'guard_types': None, 2022-11-23T01:37:54.8246801Z 'code': None, 2022-11-23T01:37:54.8246918Z 'obj_weakref': None 2022-11-23T01:37:54.8247040Z 'guarded_class': None 2022-11-23T01:37:54.8247102Z } 2022-11-23T01:37:54.8247162Z 2022-11-23T01:37:54.8247411Z [2022-11-23 01:32:26,734] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 192 2022-11-23T01:37:54.8247829Z [2022-11-23 01:32:28,137] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/oj/cojffubdp3k2bwzssmyydm4skshjfju63zajuxyvlfmdf4wi67gy.py 2022-11-23T01:37:54.8248101Z [2022-11-23 01:32:28,137] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 192 2022-11-23T01:37:54.8248107Z 2022-11-23T01:37:54.8248202Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.8248273Z import torch 2022-11-23T01:37:54.8248342Z import random 2022-11-23T01:37:54.8248456Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.8248579Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.8248584Z 2022-11-23T01:37:54.8248649Z aten = torch.ops.aten 2022-11-23T01:37:54.8248784Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.8248877Z async_compile = AsyncCompile() 2022-11-23T01:37:54.8248884Z 2022-11-23T01:37:54.8248889Z 2022-11-23T01:37:54.8249027Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.8249235Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.8249354Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:37:54.8249459Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.8249563Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.8249648Z float* __restrict__ out_ptr1) 2022-11-23T01:37:54.8249709Z { 2022-11-23T01:37:54.8249788Z #pragma GCC ivdep 2022-11-23T01:37:54.8249866Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:54.8249928Z { 2022-11-23T01:37:54.8250008Z #pragma GCC ivdep 2022-11-23T01:37:54.8250092Z for(long i1=0; i1<64; i1+=1) 2022-11-23T01:37:54.8250142Z { 2022-11-23T01:37:54.8250205Z { 2022-11-23T01:37:54.8250270Z { 2022-11-23T01:37:54.8250362Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.8250465Z auto tmp1 = in_ptr1[i1 + (64*tmp0)]; 2022-11-23T01:37:54.8250561Z out_ptr0[i1 + (64*i0)] = tmp1; 2022-11-23T01:37:54.8250627Z } 2022-11-23T01:37:54.8250677Z } 2022-11-23T01:37:54.8250739Z } 2022-11-23T01:37:54.8250802Z } 2022-11-23T01:37:54.8250879Z #pragma GCC ivdep 2022-11-23T01:37:54.8250959Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:54.8251020Z { 2022-11-23T01:37:54.8251084Z #pragma GCC ivdep 2022-11-23T01:37:54.8251164Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:37:54.8251230Z { 2022-11-23T01:37:54.8251309Z #pragma GCC ivdep 2022-11-23T01:37:54.8251392Z for(long i2=0; i2<8; i2+=1) 2022-11-23T01:37:54.8251453Z { 2022-11-23T01:37:54.8251519Z { 2022-11-23T01:37:54.8251574Z { 2022-11-23T01:37:54.8251668Z auto tmp0 = in_ptr0[i1]; 2022-11-23T01:37:54.8251782Z auto tmp1 = in_ptr1[i2 + (8*tmp0) + (64*i0)]; 2022-11-23T01:37:54.8251884Z out_ptr1[i2 + (8*i1) + (32*i0)] = tmp1; 2022-11-23T01:37:54.8251950Z } 2022-11-23T01:37:54.8252016Z } 2022-11-23T01:37:54.8252077Z } 2022-11-23T01:37:54.8252126Z } 2022-11-23T01:37:54.8252188Z } 2022-11-23T01:37:54.8252282Z } 2022-11-23T01:37:54.8252365Z ''') 2022-11-23T01:37:54.8252370Z 2022-11-23T01:37:54.8252376Z 2022-11-23T01:37:54.8252467Z async_compile.wait(globals()) 2022-11-23T01:37:54.8252540Z del async_compile 2022-11-23T01:37:54.8252545Z 2022-11-23T01:37:54.8252613Z def call(args): 2022-11-23T01:37:54.8252676Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.8252746Z args.clear() 2022-11-23T01:37:54.8252962Z buf0 = empty_strided((1, 4, 8, 8), (256, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8253179Z buf1 = empty_strided((8, 1, 4, 8), (32, 256, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8253400Z kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:54.8253470Z del arg0_1 2022-11-23T01:37:54.8253539Z del arg1_1 2022-11-23T01:37:54.8253602Z return (buf0, buf1, ) 2022-11-23T01:37:54.8253620Z 2022-11-23T01:37:54.8253624Z 2022-11-23T01:37:54.8253690Z if __name__ == "__main__": 2022-11-23T01:37:54.8253804Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.8253926Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.8254135Z arg0_1 = rand_strided((8, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8254329Z arg1_1 = rand_strided((1, 4), (4, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.8254442Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.8254447Z 2022-11-23T01:37:54.8254513Z ok (1.440s) 2022-11-23T01:37:54.8254823Z test_index_put1_cpu (__main__.CpuTests) ... [2022-11-23 01:32:28,410] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.8255087Z [2022-11-23 01:32:28,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.8255307Z [2022-11-23 01:32:28,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.8255564Z [2022-11-23 01:32:28,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.8255853Z [2022-11-23 01:32:28,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.8256179Z [2022-11-23 01:32:28,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.8256508Z [2022-11-23 01:32:28,411] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.8256606Z 3450 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.8256705Z 2 LOAD_METHOD 1 (index_put) 2022-11-23T01:37:54.8256793Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8256870Z 6 LOAD_FAST 1 (b) 2022-11-23T01:37:54.8256957Z 8 BUILD_LIST 1 2022-11-23T01:37:54.8257046Z 10 LOAD_FAST 2 (c) 2022-11-23T01:37:54.8257132Z 12 CALL_METHOD 3 2022-11-23T01:37:54.8257137Z 2022-11-23T01:37:54.8257229Z 3451 14 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.8257329Z 16 LOAD_METHOD 2 (index_put_) 2022-11-23T01:37:54.8257414Z 18 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8257490Z 20 LOAD_CONST 1 (1) 2022-11-23T01:37:54.8257562Z 22 BINARY_ADD 2022-11-23T01:37:54.8257649Z 24 LOAD_FAST 1 (b) 2022-11-23T01:37:54.8257733Z 26 LOAD_CONST 1 (1) 2022-11-23T01:37:54.8257805Z 28 BINARY_ADD 2022-11-23T01:37:54.8257891Z 30 BUILD_LIST 1 2022-11-23T01:37:54.8257975Z 32 LOAD_FAST 2 (c) 2022-11-23T01:37:54.8258078Z 34 LOAD_CONST 1 (1) 2022-11-23T01:37:54.8258151Z 36 BINARY_ADD 2022-11-23T01:37:54.8258235Z 38 CALL_METHOD 3 2022-11-23T01:37:54.8258319Z 40 LOAD_CONST 1 (1) 2022-11-23T01:37:54.8258389Z 42 BINARY_ADD 2022-11-23T01:37:54.8258476Z 44 BUILD_TUPLE 2 2022-11-23T01:37:54.8258550Z 46 RETURN_VALUE 2022-11-23T01:37:54.8258599Z 2022-11-23T01:37:54.8258604Z 2022-11-23T01:37:54.8259102Z [2022-11-23 01:32:28,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3450 2022-11-23T01:37:54.8259415Z [2022-11-23 01:32:28,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.8259796Z [2022-11-23 01:32:28,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put [TorchVariable()] 2022-11-23T01:37:54.8260128Z [2022-11-23 01:32:28,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:54.8260485Z [2022-11-23 01:32:28,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.8260871Z [2022-11-23 01:32:28,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8261247Z [2022-11-23 01:32:28,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:37:54.8261669Z [2022-11-23 01:32:28,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(), TensorVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:37:54.8261942Z [2022-11-23 01:32:28,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3451 2022-11-23T01:37:54.8262194Z [2022-11-23 01:32:28,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:37:54.8262596Z [2022-11-23 01:32:28,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.8262943Z [2022-11-23 01:32:28,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.8263334Z [2022-11-23 01:32:28,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.8263767Z [2022-11-23 01:32:28,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8264152Z [2022-11-23 01:32:28,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.8264568Z [2022-11-23 01:32:28,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8265028Z [2022-11-23 01:32:28,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8265477Z [2022-11-23 01:32:28,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8265891Z [2022-11-23 01:32:28,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TorchVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:37:54.8266331Z [2022-11-23 01:32:28,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:37:54.8266849Z [2022-11-23 01:32:28,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8267295Z [2022-11-23 01:32:28,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(), TensorVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:37:54.8267563Z [2022-11-23 01:32:28,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8267875Z [2022-11-23 01:32:28,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8268227Z [2022-11-23 01:32:28,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8268488Z [2022-11-23 01:32:28,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.8268810Z [2022-11-23 01:32:28,419] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.8269059Z [2022-11-23 01:32:28,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.8269295Z [2022-11-23 01:32:28,419] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.8269551Z [2022-11-23 01:32:28,422] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.8269806Z [2022-11-23 01:32:28,428] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.8269999Z [2022-11-23 01:32:28,429] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.8270136Z __compiled_fn_194 .1628 opcode, name, target, args, kwargs 2022-11-23T01:37:54.8270229Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.8270316Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.8270388Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:37:54.8270652Z call_function, index_put, , (ex_0_, [ex_1_], ex_2_), {} 2022-11-23T01:37:54.8270828Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:54.8271004Z call_function, add_1, , (ex_1_, 1), {} 2022-11-23T01:37:54.8271179Z call_function, add_2, , (ex_2_, 1), {} 2022-11-23T01:37:54.8271442Z call_function, index_put_, , (add, [add_1], add_2), {} 2022-11-23T01:37:54.8271625Z call_function, add_3, , (index_put_, 1), {} 2022-11-23T01:37:54.8271733Z output, output, output, ((index_put, add_3),), {} 2022-11-23T01:37:54.8271742Z 2022-11-23T01:37:54.8272013Z [2022-11-23 01:32:28,429] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8272106Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.8272196Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8272323Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.8272414Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.8272489Z 8 RETURN_VALUE 2022-11-23T01:37:54.8272494Z 2022-11-23T01:37:54.8272555Z 2022-11-23T01:37:54.8272831Z [2022-11-23 01:32:28,429] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8272928Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_194) 2022-11-23T01:37:54.8273017Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8273104Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8273213Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.8273298Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8273382Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.8273457Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.8273529Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8273615Z 16 LOAD_CONST 3 (2) 2022-11-23T01:37:54.8273688Z 18 BINARY_SUBSCR 2022-11-23T01:37:54.8273777Z 20 CALL_FUNCTION 3 2022-11-23T01:37:54.8273880Z 22 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8273980Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8274069Z 26 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8274131Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.8274231Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8274317Z 32 LOAD_CONST 2 (1) 2022-11-23T01:37:54.8274392Z 34 BINARY_SUBSCR 2022-11-23T01:37:54.8274480Z 36 BUILD_TUPLE 2 2022-11-23T01:37:54.8274554Z 38 RETURN_VALUE 2022-11-23T01:37:54.8274559Z 2022-11-23T01:37:54.8274617Z 2022-11-23T01:37:54.8274790Z [2022-11-23 01:32:28,430] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.8274862Z - 2022-11-23T01:37:54.8274983Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.8275048Z { 2022-11-23T01:37:54.8275191Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.8275379Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 3'], 2022-11-23T01:37:54.8275501Z 'obj_weakref': None 2022-11-23T01:37:54.8275714Z 'guarded_class': 2022-11-23T01:37:54.8275779Z } 2022-11-23T01:37:54.8275842Z 2022-11-23T01:37:54.8275916Z - 2022-11-23T01:37:54.8276040Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.8276100Z { 2022-11-23T01:37:54.8276242Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8276338Z 'code': None, 2022-11-23T01:37:54.8276550Z 'obj_weakref': 2022-11-23T01:37:54.8276806Z 'guarded_class': 2022-11-23T01:37:54.8276871Z } 2022-11-23T01:37:54.8276931Z 2022-11-23T01:37:54.8277001Z - 2022-11-23T01:37:54.8277125Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.8277175Z { 2022-11-23T01:37:54.8277319Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8277427Z 'code': None, 2022-11-23T01:37:54.8277638Z 'obj_weakref': 2022-11-23T01:37:54.8277895Z 'guarded_class': 2022-11-23T01:37:54.8277957Z } 2022-11-23T01:37:54.8278020Z 2022-11-23T01:37:54.8278077Z - 2022-11-23T01:37:54.8278201Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:37:54.8278261Z { 2022-11-23T01:37:54.8278437Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8278548Z 'code': None, 2022-11-23T01:37:54.8278760Z 'obj_weakref': 2022-11-23T01:37:54.8279014Z 'guarded_class': 2022-11-23T01:37:54.8279076Z } 2022-11-23T01:37:54.8279128Z 2022-11-23T01:37:54.8279198Z - 2022-11-23T01:37:54.8279329Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.8279390Z { 2022-11-23T01:37:54.8279527Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.8279729Z 'code': ['___check_obj_id(model, 140539203305200)'], 2022-11-23T01:37:54.8279839Z 'obj_weakref': None 2022-11-23T01:37:54.8280072Z 'guarded_class': 2022-11-23T01:37:54.8280136Z } 2022-11-23T01:37:54.8280197Z 2022-11-23T01:37:54.8280268Z - 2022-11-23T01:37:54.8280391Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.8280452Z { 2022-11-23T01:37:54.8280576Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.8280796Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.8280916Z 'obj_weakref': None 2022-11-23T01:37:54.8281139Z 'guarded_class': 2022-11-23T01:37:54.8281201Z } 2022-11-23T01:37:54.8281261Z 2022-11-23T01:37:54.8281334Z - 2022-11-23T01:37:54.8281455Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.8281517Z { 2022-11-23T01:37:54.8281637Z 'guard_types': None, 2022-11-23T01:37:54.8281744Z 'code': None, 2022-11-23T01:37:54.8281862Z 'obj_weakref': None 2022-11-23T01:37:54.8281987Z 'guarded_class': None 2022-11-23T01:37:54.8282049Z } 2022-11-23T01:37:54.8282098Z 2022-11-23T01:37:54.8282362Z [2022-11-23 01:32:28,441] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 193 2022-11-23T01:37:54.8282737Z [2022-11-23 01:32:29,882] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dp/cdpy5mz4uxxwcvgy33z2ddijilimv2n35z6irdgdccqqcnss3yru.py 2022-11-23T01:37:54.8283003Z [2022-11-23 01:32:29,882] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 193 2022-11-23T01:37:54.8283243Z [2022-11-23 01:32:30,929] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.8283516Z [2022-11-23 01:32:30,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.8283735Z [2022-11-23 01:32:30,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.8283991Z [2022-11-23 01:32:30,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.8284277Z [2022-11-23 01:32:30,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.8284586Z [2022-11-23 01:32:30,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.8284916Z [2022-11-23 01:32:30,930] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.8285016Z 3450 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.8285114Z 2 LOAD_METHOD 1 (index_put) 2022-11-23T01:37:54.8285203Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8285289Z 6 LOAD_FAST 1 (b) 2022-11-23T01:37:54.8285375Z 8 BUILD_LIST 1 2022-11-23T01:37:54.8285492Z 10 LOAD_FAST 2 (c) 2022-11-23T01:37:54.8285569Z 12 CALL_METHOD 3 2022-11-23T01:37:54.8285574Z 2022-11-23T01:37:54.8285667Z 3451 14 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.8285767Z 16 LOAD_METHOD 2 (index_put_) 2022-11-23T01:37:54.8285853Z 18 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8285939Z 20 LOAD_CONST 1 (1) 2022-11-23T01:37:54.8286012Z 22 BINARY_ADD 2022-11-23T01:37:54.8286099Z 24 LOAD_FAST 1 (b) 2022-11-23T01:37:54.8286205Z 26 LOAD_CONST 1 (1) 2022-11-23T01:37:54.8286277Z 28 BINARY_ADD 2022-11-23T01:37:54.8286362Z 30 BUILD_LIST 1 2022-11-23T01:37:54.8286447Z 32 LOAD_FAST 2 (c) 2022-11-23T01:37:54.8286532Z 34 LOAD_CONST 1 (1) 2022-11-23T01:37:54.8286606Z 36 BINARY_ADD 2022-11-23T01:37:54.8286692Z 38 CALL_METHOD 3 2022-11-23T01:37:54.8286765Z 40 LOAD_CONST 1 (1) 2022-11-23T01:37:54.8286836Z 42 BINARY_ADD 2022-11-23T01:37:54.8286922Z 44 BUILD_TUPLE 2 2022-11-23T01:37:54.8286997Z 46 RETURN_VALUE 2022-11-23T01:37:54.8287054Z 2022-11-23T01:37:54.8287060Z 2022-11-23T01:37:54.8287336Z [2022-11-23 01:32:30,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3450 2022-11-23T01:37:54.8287562Z [2022-11-23 01:32:30,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.8287941Z [2022-11-23 01:32:30,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put [TorchVariable()] 2022-11-23T01:37:54.8288268Z [2022-11-23 01:32:30,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:54.8288612Z [2022-11-23 01:32:30,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.8288997Z [2022-11-23 01:32:30,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8289373Z [2022-11-23 01:32:30,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:37:54.8289789Z [2022-11-23 01:32:30,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(), TensorVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:37:54.8290061Z [2022-11-23 01:32:30,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3451 2022-11-23T01:37:54.8290309Z [2022-11-23 01:32:30,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:37:54.8290711Z [2022-11-23 01:32:30,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.8291066Z [2022-11-23 01:32:30,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.8291453Z [2022-11-23 01:32:30,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.8291918Z [2022-11-23 01:32:30,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8292304Z [2022-11-23 01:32:30,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.8292718Z [2022-11-23 01:32:30,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8293210Z [2022-11-23 01:32:30,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8293627Z [2022-11-23 01:32:30,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8294040Z [2022-11-23 01:32:30,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TorchVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:37:54.8294470Z [2022-11-23 01:32:30,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:37:54.8294955Z [2022-11-23 01:32:30,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8295402Z [2022-11-23 01:32:30,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(), TensorVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:37:54.8295672Z [2022-11-23 01:32:30,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8295985Z [2022-11-23 01:32:30,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8296259Z [2022-11-23 01:32:30,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8296515Z [2022-11-23 01:32:30,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.8296852Z [2022-11-23 01:32:30,938] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.8297106Z [2022-11-23 01:32:30,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.8297347Z [2022-11-23 01:32:30,938] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.8297609Z [2022-11-23 01:32:30,939] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.8297849Z [2022-11-23 01:32:30,946] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.8298045Z [2022-11-23 01:32:30,946] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.8298185Z __compiled_fn_195 .1634 opcode, name, target, args, kwargs 2022-11-23T01:37:54.8298277Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.8298364Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.8298448Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:37:54.8298933Z call_function, index_put, , (ex_0_, [ex_1_], ex_2_), {} 2022-11-23T01:37:54.8305276Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:54.8305509Z call_function, add_1, , (ex_1_, 1), {} 2022-11-23T01:37:54.8305690Z call_function, add_2, , (ex_2_, 1), {} 2022-11-23T01:37:54.8305960Z call_function, index_put_, , (add, [add_1], add_2), {} 2022-11-23T01:37:54.8306133Z call_function, add_3, , (index_put_, 1), {} 2022-11-23T01:37:54.8306246Z output, output, output, ((index_put, add_3),), {} 2022-11-23T01:37:54.8306345Z 2022-11-23T01:37:54.8306641Z [2022-11-23 01:32:30,946] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8306736Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.8306825Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8306919Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.8307012Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.8307089Z 8 RETURN_VALUE 2022-11-23T01:37:54.8307095Z 2022-11-23T01:37:54.8307142Z 2022-11-23T01:37:54.8307422Z [2022-11-23 01:32:30,947] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8307530Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_195) 2022-11-23T01:37:54.8307620Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8307710Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8307790Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.8307878Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8307953Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.8308029Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.8308207Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8308299Z 16 LOAD_CONST 3 (2) 2022-11-23T01:37:54.8308376Z 18 BINARY_SUBSCR 2022-11-23T01:37:54.8308464Z 20 CALL_FUNCTION 3 2022-11-23T01:37:54.8308569Z 22 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8308657Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8308744Z 26 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8308820Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.8308922Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8309008Z 32 LOAD_CONST 2 (1) 2022-11-23T01:37:54.8309083Z 34 BINARY_SUBSCR 2022-11-23T01:37:54.8309171Z 36 BUILD_TUPLE 2 2022-11-23T01:37:54.8309243Z 38 RETURN_VALUE 2022-11-23T01:37:54.8309249Z 2022-11-23T01:37:54.8309295Z 2022-11-23T01:37:54.8309485Z [2022-11-23 01:32:30,947] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.8309557Z - 2022-11-23T01:37:54.8309682Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.8309747Z { 2022-11-23T01:37:54.8309891Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.8310083Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 3'], 2022-11-23T01:37:54.8310193Z 'obj_weakref': None 2022-11-23T01:37:54.8310420Z 'guarded_class': 2022-11-23T01:37:54.8310487Z } 2022-11-23T01:37:54.8310549Z 2022-11-23T01:37:54.8310620Z - 2022-11-23T01:37:54.8310747Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.8310813Z { 2022-11-23T01:37:54.8310945Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8311052Z 'code': None, 2022-11-23T01:37:54.8311269Z 'obj_weakref': 2022-11-23T01:37:54.8311580Z 'guarded_class': 2022-11-23T01:37:54.8311648Z } 2022-11-23T01:37:54.8311709Z 2022-11-23T01:37:54.8311781Z - 2022-11-23T01:37:54.8311895Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.8311962Z { 2022-11-23T01:37:54.8312107Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8312216Z 'code': None, 2022-11-23T01:37:54.8312432Z 'obj_weakref': 2022-11-23T01:37:54.8312687Z 'guarded_class': 2022-11-23T01:37:54.8312801Z } 2022-11-23T01:37:54.8312850Z 2022-11-23T01:37:54.8312922Z - 2022-11-23T01:37:54.8313048Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:37:54.8313111Z { 2022-11-23T01:37:54.8313256Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8313367Z 'code': None, 2022-11-23T01:37:54.8313580Z 'obj_weakref': 2022-11-23T01:37:54.8313822Z 'guarded_class': 2022-11-23T01:37:54.8313886Z } 2022-11-23T01:37:54.8313949Z 2022-11-23T01:37:54.8314022Z - 2022-11-23T01:37:54.8314155Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.8314220Z { 2022-11-23T01:37:54.8314355Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.8314517Z 'code': ['___check_obj_id(model, 140539203305200)'], 2022-11-23T01:37:54.8314641Z 'obj_weakref': None 2022-11-23T01:37:54.8314874Z 'guarded_class': 2022-11-23T01:37:54.8314938Z } 2022-11-23T01:37:54.8314998Z 2022-11-23T01:37:54.8315068Z - 2022-11-23T01:37:54.8315193Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.8315244Z { 2022-11-23T01:37:54.8315383Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.8315605Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.8315726Z 'obj_weakref': None 2022-11-23T01:37:54.8315948Z 'guarded_class': 2022-11-23T01:37:54.8316011Z } 2022-11-23T01:37:54.8316075Z 2022-11-23T01:37:54.8316132Z - 2022-11-23T01:37:54.8316269Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.8316331Z { 2022-11-23T01:37:54.8316454Z 'guard_types': None, 2022-11-23T01:37:54.8316562Z 'code': None, 2022-11-23T01:37:54.8316681Z 'obj_weakref': None 2022-11-23T01:37:54.8316807Z 'guarded_class': None 2022-11-23T01:37:54.8316857Z } 2022-11-23T01:37:54.8316921Z 2022-11-23T01:37:54.8317186Z [2022-11-23 01:32:30,958] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 194 2022-11-23T01:37:54.8317564Z [2022-11-23 01:32:32,375] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bp/cbp6q3xi6rexaustuz2whqjcq6tkpwx7cyi5kv2kbe5mides3m7e.py 2022-11-23T01:37:54.8317834Z [2022-11-23 01:32:32,375] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 194 2022-11-23T01:37:54.8317840Z 2022-11-23T01:37:54.8317935Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.8318007Z import torch 2022-11-23T01:37:54.8318064Z import random 2022-11-23T01:37:54.8318178Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.8318299Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.8318304Z 2022-11-23T01:37:54.8318380Z aten = torch.ops.aten 2022-11-23T01:37:54.8318513Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.8318668Z async_compile = AsyncCompile() 2022-11-23T01:37:54.8318675Z 2022-11-23T01:37:54.8318679Z 2022-11-23T01:37:54.8318818Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.8319025Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.8319144Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.8319236Z const long* __restrict__ in_ptr1, 2022-11-23T01:37:54.8319340Z const float* __restrict__ in_ptr2, 2022-11-23T01:37:54.8319439Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.8319566Z float* __restrict__ out_ptr1, 2022-11-23T01:37:54.8319663Z float* __restrict__ out_ptr2) 2022-11-23T01:37:54.8319724Z { 2022-11-23T01:37:54.8319809Z for(long i0=0; i0<1254400; i0+=1) 2022-11-23T01:37:54.8319857Z { 2022-11-23T01:37:54.8320002Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:54.8320134Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:54.8320217Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.8320305Z tmp0.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.8320390Z tmp2.store(out_ptr1 + 8*i0); 2022-11-23T01:37:54.8320450Z } 2022-11-23T01:37:54.8320526Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.8320616Z for(long i0=10035200; i0<10035200; i0+=1) 2022-11-23T01:37:54.8320677Z { 2022-11-23T01:37:54.8320759Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.8320853Z auto tmp1 = static_cast(1); 2022-11-23T01:37:54.8320937Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.8321014Z out_ptr0[i0] = tmp0; 2022-11-23T01:37:54.8321077Z out_ptr1[i0] = tmp2; 2022-11-23T01:37:54.8321136Z } 2022-11-23T01:37:54.8321212Z #pragma GCC ivdep 2022-11-23T01:37:54.8321292Z for(long i0=0; i0<601; i0+=1) 2022-11-23T01:37:54.8321353Z { 2022-11-23T01:37:54.8321432Z #pragma GCC ivdep 2022-11-23T01:37:54.8321505Z for(long i1=0; i1<12544; i1+=1) 2022-11-23T01:37:54.8321567Z { 2022-11-23T01:37:54.8321629Z { 2022-11-23T01:37:54.8321692Z { 2022-11-23T01:37:54.8321782Z auto tmp0 = in_ptr1[i0]; 2022-11-23T01:37:54.8321881Z auto tmp1 = in_ptr2[i1 + (12544*i0)]; 2022-11-23T01:37:54.8321982Z auto tmp2 = static_cast(1); 2022-11-23T01:37:54.8322059Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:37:54.8322157Z auto tmp4 = static_cast(1); 2022-11-23T01:37:54.8322249Z auto tmp5 = tmp1 + tmp4; 2022-11-23T01:37:54.8322351Z out_ptr0[i1 + (12544*tmp0)] = tmp1; 2022-11-23T01:37:54.8322445Z out_ptr1[i1 + (12544*tmp3)] = tmp5; 2022-11-23T01:37:54.8322508Z } 2022-11-23T01:37:54.8322570Z } 2022-11-23T01:37:54.8322619Z } 2022-11-23T01:37:54.8322682Z } 2022-11-23T01:37:54.8322764Z for(long i0=0; i0<1254400; i0+=1) 2022-11-23T01:37:54.8322826Z { 2022-11-23T01:37:54.8322960Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr1 + 8*i0); 2022-11-23T01:37:54.8323091Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:54.8323172Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.8323247Z tmp2.store(out_ptr2 + 8*i0); 2022-11-23T01:37:54.8323309Z } 2022-11-23T01:37:54.8323395Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.8323486Z for(long i0=10035200; i0<10035200; i0+=1) 2022-11-23T01:37:54.8323551Z { 2022-11-23T01:37:54.8323632Z auto tmp0 = out_ptr1[i0]; 2022-11-23T01:37:54.8323728Z auto tmp1 = static_cast(1); 2022-11-23T01:37:54.8323798Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.8323875Z out_ptr2[i0] = tmp2; 2022-11-23T01:37:54.8323936Z } 2022-11-23T01:37:54.8323994Z } 2022-11-23T01:37:54.8324081Z ''') 2022-11-23T01:37:54.8324116Z 2022-11-23T01:37:54.8324122Z 2022-11-23T01:37:54.8324212Z async_compile.wait(globals()) 2022-11-23T01:37:54.8324285Z del async_compile 2022-11-23T01:37:54.8324290Z 2022-11-23T01:37:54.8324347Z def call(args): 2022-11-23T01:37:54.8324428Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:54.8324500Z args.clear() 2022-11-23T01:37:54.8324728Z buf0 = empty_strided((800, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8324953Z buf2 = empty_strided((800, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8325209Z buf4 = empty_strided((800, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8325444Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf4.data_ptr())) 2022-11-23T01:37:54.8325513Z del arg0_1 2022-11-23T01:37:54.8325569Z del arg1_1 2022-11-23T01:37:54.8325634Z del arg2_1 2022-11-23T01:37:54.8325710Z return (buf0, buf4, ) 2022-11-23T01:37:54.8325716Z 2022-11-23T01:37:54.8325720Z 2022-11-23T01:37:54.8325797Z if __name__ == "__main__": 2022-11-23T01:37:54.8325912Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.8326035Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.8326259Z arg0_1 = rand_strided((800, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8326455Z arg1_1 = rand_strided((601, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.8326669Z arg2_1 = rand_strided((601, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8326790Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:54.8326795Z 2022-11-23T01:37:54.8326800Z 2022-11-23T01:37:54.8326893Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.8326962Z import torch 2022-11-23T01:37:54.8327035Z import random 2022-11-23T01:37:54.8327150Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.8327270Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.8327275Z 2022-11-23T01:37:54.8327351Z aten = torch.ops.aten 2022-11-23T01:37:54.8327470Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.8327565Z async_compile = AsyncCompile() 2022-11-23T01:37:54.8327570Z 2022-11-23T01:37:54.8327574Z 2022-11-23T01:37:54.8327710Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.8327917Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.8328039Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.8328144Z const long* __restrict__ in_ptr1, 2022-11-23T01:37:54.8328247Z const float* __restrict__ in_ptr2, 2022-11-23T01:37:54.8328345Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.8328430Z float* __restrict__ out_ptr1, 2022-11-23T01:37:54.8328522Z float* __restrict__ out_ptr2) 2022-11-23T01:37:54.8328582Z { 2022-11-23T01:37:54.8328665Z for(long i0=0; i0<1024; i0+=1) 2022-11-23T01:37:54.8328725Z { 2022-11-23T01:37:54.8328861Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:54.8328992Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:54.8329063Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.8329150Z tmp0.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.8329237Z tmp2.store(out_ptr1 + 8*i0); 2022-11-23T01:37:54.8329300Z } 2022-11-23T01:37:54.8329387Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.8329470Z for(long i0=8192; i0<8192; i0+=1) 2022-11-23T01:37:54.8329533Z { 2022-11-23T01:37:54.8329600Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.8329695Z auto tmp1 = static_cast(1); 2022-11-23T01:37:54.8329805Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.8329885Z out_ptr0[i0] = tmp0; 2022-11-23T01:37:54.8329962Z out_ptr1[i0] = tmp2; 2022-11-23T01:37:54.8330021Z } 2022-11-23T01:37:54.8330095Z #pragma GCC ivdep 2022-11-23T01:37:54.8330162Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:54.8330221Z { 2022-11-23T01:37:54.8330294Z #pragma GCC ivdep 2022-11-23T01:37:54.8330380Z for(long i1=0; i1<8; i1+=1) 2022-11-23T01:37:54.8330430Z { 2022-11-23T01:37:54.8330490Z { 2022-11-23T01:37:54.8330551Z { 2022-11-23T01:37:54.8330673Z auto tmp0 = in_ptr1[i0]; 2022-11-23T01:37:54.8330762Z auto tmp1 = in_ptr2[i0]; 2022-11-23T01:37:54.8330862Z auto tmp2 = static_cast(1); 2022-11-23T01:37:54.8330950Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:37:54.8331038Z auto tmp4 = static_cast(1); 2022-11-23T01:37:54.8331130Z auto tmp5 = tmp1 + tmp4; 2022-11-23T01:37:54.8331226Z out_ptr0[i1 + (8*tmp0)] = tmp1; 2022-11-23T01:37:54.8331318Z out_ptr1[i1 + (8*tmp3)] = tmp5; 2022-11-23T01:37:54.8331381Z } 2022-11-23T01:37:54.8331443Z } 2022-11-23T01:37:54.8331502Z } 2022-11-23T01:37:54.8331549Z } 2022-11-23T01:37:54.8331628Z for(long i0=0; i0<1024; i0+=1) 2022-11-23T01:37:54.8331686Z { 2022-11-23T01:37:54.8331817Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr1 + 8*i0); 2022-11-23T01:37:54.8331950Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:54.8332034Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.8332119Z tmp2.store(out_ptr2 + 8*i0); 2022-11-23T01:37:54.8332167Z } 2022-11-23T01:37:54.8332252Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.8332333Z for(long i0=8192; i0<8192; i0+=1) 2022-11-23T01:37:54.8332392Z { 2022-11-23T01:37:54.8332477Z auto tmp0 = out_ptr1[i0]; 2022-11-23T01:37:54.8332572Z auto tmp1 = static_cast(1); 2022-11-23T01:37:54.8332655Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.8332720Z out_ptr2[i0] = tmp2; 2022-11-23T01:37:54.8332780Z } 2022-11-23T01:37:54.8332841Z } 2022-11-23T01:37:54.8332925Z ''') 2022-11-23T01:37:54.8332930Z 2022-11-23T01:37:54.8332934Z 2022-11-23T01:37:54.8333023Z async_compile.wait(globals()) 2022-11-23T01:37:54.8333096Z del async_compile 2022-11-23T01:37:54.8333101Z 2022-11-23T01:37:54.8333171Z def call(args): 2022-11-23T01:37:54.8333240Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:54.8333313Z args.clear() 2022-11-23T01:37:54.8333525Z buf0 = empty_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8333734Z buf2 = empty_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8333936Z buf4 = empty_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8334178Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf4.data_ptr())) 2022-11-23T01:37:54.8334249Z del arg0_1 2022-11-23T01:37:54.8334318Z del arg1_1 2022-11-23T01:37:54.8334371Z del arg2_1 2022-11-23T01:37:54.8334447Z return (buf0, buf4, ) 2022-11-23T01:37:54.8334452Z 2022-11-23T01:37:54.8334456Z 2022-11-23T01:37:54.8334532Z if __name__ == "__main__": 2022-11-23T01:37:54.8334649Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.8334773Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.8334985Z arg0_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8335178Z arg1_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.8335385Z arg2_1 = rand_strided((4, 1, 1), (1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8335529Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:54.8335535Z 2022-11-23T01:37:54.8335601Z ok (4.238s) 2022-11-23T01:37:54.8335916Z test_index_put2_cpu (__main__.CpuTests) ... [2022-11-23 01:32:32,472] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.8336192Z [2022-11-23 01:32:32,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.8336417Z [2022-11-23 01:32:32,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.8336676Z [2022-11-23 01:32:32,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.8337000Z [2022-11-23 01:32:32,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.8337332Z [2022-11-23 01:32:32,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.8337668Z [2022-11-23 01:32:32,473] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.8337754Z 3468 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.8337856Z 2 LOAD_METHOD 1 (index_put) 2022-11-23T01:37:54.8337947Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8338039Z 6 LOAD_FAST 1 (b) 2022-11-23T01:37:54.8338127Z 8 BUILD_LIST 1 2022-11-23T01:37:54.8338219Z 10 LOAD_FAST 2 (c) 2022-11-23T01:37:54.8338312Z 12 LOAD_CONST 1 (True) 2022-11-23T01:37:54.8338402Z 14 CALL_METHOD 4 2022-11-23T01:37:54.8338466Z 16 RETURN_VALUE 2022-11-23T01:37:54.8338528Z 2022-11-23T01:37:54.8338533Z 2022-11-23T01:37:54.8339004Z [2022-11-23 01:32:32,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3468 2022-11-23T01:37:54.8339286Z [2022-11-23 01:32:32,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.8339666Z [2022-11-23 01:32:32,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put [TorchVariable()] 2022-11-23T01:37:54.8340000Z [2022-11-23 01:32:32,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:54.8340360Z [2022-11-23 01:32:32,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.8340751Z [2022-11-23 01:32:32,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8341134Z [2022-11-23 01:32:32,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:37:54.8341551Z [2022-11-23 01:32:32,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(), TensorVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:37:54.8342008Z [2022-11-23 01:32:32,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)] 2022-11-23T01:37:54.8342253Z [2022-11-23 01:32:32,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.8342651Z [2022-11-23 01:32:32,475] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.8342907Z [2022-11-23 01:32:32,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.8343148Z [2022-11-23 01:32:32,475] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.8343409Z [2022-11-23 01:32:32,477] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.8343661Z [2022-11-23 01:32:32,480] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.8343898Z [2022-11-23 01:32:32,480] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.8344032Z __compiled_fn_196 .1640 opcode, name, target, args, kwargs 2022-11-23T01:37:54.8344121Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.8344195Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.8344280Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:37:54.8344554Z call_function, index_put, , (ex_0_, [ex_1_], ex_2_, True), {} 2022-11-23T01:37:54.8344661Z output, output, output, ((index_put,),), {} 2022-11-23T01:37:54.8344666Z 2022-11-23T01:37:54.8344947Z [2022-11-23 01:32:32,481] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8345039Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.8345129Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8345221Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.8345300Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.8345375Z 8 RETURN_VALUE 2022-11-23T01:37:54.8345381Z 2022-11-23T01:37:54.8345439Z 2022-11-23T01:37:54.8345712Z [2022-11-23 01:32:32,481] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8345822Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_196) 2022-11-23T01:37:54.8345910Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8345998Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8346061Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.8346148Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8346234Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.8346307Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.8346391Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8346472Z 16 LOAD_CONST 3 (2) 2022-11-23T01:37:54.8346547Z 18 BINARY_SUBSCR 2022-11-23T01:37:54.8346622Z 20 CALL_FUNCTION 3 2022-11-23T01:37:54.8346711Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.8346783Z 24 RETURN_VALUE 2022-11-23T01:37:54.8346788Z 2022-11-23T01:37:54.8346847Z 2022-11-23T01:37:54.8347031Z [2022-11-23 01:32:32,482] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.8347101Z - 2022-11-23T01:37:54.8347220Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.8347272Z { 2022-11-23T01:37:54.8347417Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.8347606Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 3'], 2022-11-23T01:37:54.8347726Z 'obj_weakref': None 2022-11-23T01:37:54.8347952Z 'guarded_class': 2022-11-23T01:37:54.8348013Z } 2022-11-23T01:37:54.8348077Z 2022-11-23T01:37:54.8348240Z - 2022-11-23T01:37:54.8348360Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.8348424Z { 2022-11-23T01:37:54.8348569Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8348679Z 'code': None, 2022-11-23T01:37:54.8348939Z 'obj_weakref': 2022-11-23T01:37:54.8349201Z 'guarded_class': 2022-11-23T01:37:54.8349266Z } 2022-11-23T01:37:54.8349316Z 2022-11-23T01:37:54.8349386Z - 2022-11-23T01:37:54.8349510Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.8349573Z { 2022-11-23T01:37:54.8349717Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8349827Z 'code': None, 2022-11-23T01:37:54.8350042Z 'obj_weakref': 2022-11-23T01:37:54.8350318Z 'guarded_class': 2022-11-23T01:37:54.8350383Z } 2022-11-23T01:37:54.8350445Z 2022-11-23T01:37:54.8350519Z - 2022-11-23T01:37:54.8350643Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:37:54.8350706Z { 2022-11-23T01:37:54.8350839Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8350947Z 'code': None, 2022-11-23T01:37:54.8351160Z 'obj_weakref': 2022-11-23T01:37:54.8351413Z 'guarded_class': 2022-11-23T01:37:54.8351476Z } 2022-11-23T01:37:54.8351537Z 2022-11-23T01:37:54.8351606Z - 2022-11-23T01:37:54.8351737Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.8351790Z { 2022-11-23T01:37:54.8351925Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.8352095Z 'code': ['___check_obj_id(model, 140538746353280)'], 2022-11-23T01:37:54.8352218Z 'obj_weakref': None 2022-11-23T01:37:54.8352451Z 'guarded_class': 2022-11-23T01:37:54.8352516Z } 2022-11-23T01:37:54.8352577Z 2022-11-23T01:37:54.8352633Z - 2022-11-23T01:37:54.8352754Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.8352816Z { 2022-11-23T01:37:54.8352952Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.8353173Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.8353293Z 'obj_weakref': None 2022-11-23T01:37:54.8353514Z 'guarded_class': 2022-11-23T01:37:54.8353570Z } 2022-11-23T01:37:54.8353629Z 2022-11-23T01:37:54.8353697Z - 2022-11-23T01:37:54.8353831Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.8353893Z { 2022-11-23T01:37:54.8354012Z 'guard_types': None, 2022-11-23T01:37:54.8354109Z 'code': None, 2022-11-23T01:37:54.8354226Z 'obj_weakref': None 2022-11-23T01:37:54.8354349Z 'guarded_class': None 2022-11-23T01:37:54.8354412Z } 2022-11-23T01:37:54.8354472Z 2022-11-23T01:37:54.8354733Z [2022-11-23 01:32:32,488] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 195 2022-11-23T01:37:54.8355103Z [2022-11-23 01:32:33,862] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/iy/ciy3dotgf5o4tlbb34o33sqlya3oydtplrcz3r2mgaefr4lilfgb.py 2022-11-23T01:37:54.8355368Z [2022-11-23 01:32:33,863] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 195 2022-11-23T01:37:54.8355377Z 2022-11-23T01:37:54.8355458Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.8355525Z import torch 2022-11-23T01:37:54.8355590Z import random 2022-11-23T01:37:54.8355703Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.8355821Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.8355826Z 2022-11-23T01:37:54.8355930Z aten = torch.ops.aten 2022-11-23T01:37:54.8356065Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.8356156Z async_compile = AsyncCompile() 2022-11-23T01:37:54.8356161Z 2022-11-23T01:37:54.8356166Z 2022-11-23T01:37:54.8356289Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.8356495Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.8356617Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.8356721Z const long* __restrict__ in_ptr1, 2022-11-23T01:37:54.8356875Z const float* __restrict__ in_ptr2, 2022-11-23T01:37:54.8356973Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.8357032Z { 2022-11-23T01:37:54.8357103Z for(long i0=0; i0<156800; i0+=1) 2022-11-23T01:37:54.8357163Z { 2022-11-23T01:37:54.8357301Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:54.8357390Z tmp0.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.8357450Z } 2022-11-23T01:37:54.8357535Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.8357625Z for(long i0=1254400; i0<1254400; i0+=1) 2022-11-23T01:37:54.8357673Z { 2022-11-23T01:37:54.8357756Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.8357832Z out_ptr0[i0] = tmp0; 2022-11-23T01:37:54.8357891Z } 2022-11-23T01:37:54.8357965Z #pragma GCC ivdep 2022-11-23T01:37:54.8358044Z for(long i0=0; i0<600; i0+=1) 2022-11-23T01:37:54.8358103Z { 2022-11-23T01:37:54.8358167Z #pragma GCC ivdep 2022-11-23T01:37:54.8358250Z for(long i1=0; i1<12544; i1+=1) 2022-11-23T01:37:54.8358311Z { 2022-11-23T01:37:54.8358372Z { 2022-11-23T01:37:54.8358435Z { 2022-11-23T01:37:54.8358525Z auto tmp0 = in_ptr1[i0]; 2022-11-23T01:37:54.8358624Z auto tmp1 = in_ptr2[i1 + (12544*i0)]; 2022-11-23T01:37:54.8358713Z out_ptr0[i1 + (12544*tmp0)] += tmp1; 2022-11-23T01:37:54.8358776Z } 2022-11-23T01:37:54.8358838Z } 2022-11-23T01:37:54.8358898Z } 2022-11-23T01:37:54.8358957Z } 2022-11-23T01:37:54.8359015Z } 2022-11-23T01:37:54.8359081Z ''') 2022-11-23T01:37:54.8359100Z 2022-11-23T01:37:54.8359104Z 2022-11-23T01:37:54.8359180Z async_compile.wait(globals()) 2022-11-23T01:37:54.8359248Z del async_compile 2022-11-23T01:37:54.8359253Z 2022-11-23T01:37:54.8359320Z def call(args): 2022-11-23T01:37:54.8359401Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:54.8359470Z args.clear() 2022-11-23T01:37:54.8359696Z buf0 = empty_strided((100, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8359885Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.8359940Z del arg0_1 2022-11-23T01:37:54.8360004Z del arg1_1 2022-11-23T01:37:54.8360067Z del arg2_1 2022-11-23T01:37:54.8360139Z return (buf0, ) 2022-11-23T01:37:54.8360144Z 2022-11-23T01:37:54.8360149Z 2022-11-23T01:37:54.8360223Z if __name__ == "__main__": 2022-11-23T01:37:54.8360335Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.8360455Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.8360681Z arg0_1 = rand_strided((100, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8360864Z arg1_1 = rand_strided((600, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.8361085Z arg2_1 = rand_strided((600, 256, 7, 7), (12544, 49, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8361212Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:54.8361217Z 2022-11-23T01:37:54.8361282Z ok (1.538s) 2022-11-23T01:37:54.8361629Z test_index_put3_cpu (__main__.CpuTests) ... [2022-11-23 01:32:33,923] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.8361905Z [2022-11-23 01:32:33,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.8362127Z [2022-11-23 01:32:33,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.8362384Z [2022-11-23 01:32:33,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.8362673Z [2022-11-23 01:32:33,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.8362988Z [2022-11-23 01:32:33,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.8363349Z [2022-11-23 01:32:33,924] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.8363444Z 3483 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.8363537Z 2 LOAD_ATTR 1 (ops) 2022-11-23T01:37:54.8363629Z 4 LOAD_ATTR 2 (aten) 2022-11-23T01:37:54.8363727Z 6 LOAD_METHOD 3 (index_put_) 2022-11-23T01:37:54.8363816Z 8 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8363906Z 10 LOAD_CONST 0 (None) 2022-11-23T01:37:54.8363982Z 12 LOAD_FAST 1 (b) 2022-11-23T01:37:54.8364072Z 14 LOAD_CONST 0 (None) 2022-11-23T01:37:54.8364160Z 16 BUILD_TUPLE 3 2022-11-23T01:37:54.8364250Z 18 LOAD_FAST 2 (c) 2022-11-23T01:37:54.8364337Z 20 CALL_METHOD 3 2022-11-23T01:37:54.8364410Z 22 POP_TOP 2022-11-23T01:37:54.8364415Z 2022-11-23T01:37:54.8364501Z 3484 24 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8364577Z 26 LOAD_CONST 1 (1) 2022-11-23T01:37:54.8364651Z 28 BINARY_ADD 2022-11-23T01:37:54.8364741Z 30 STORE_FAST 3 (a1) 2022-11-23T01:37:54.8364745Z 2022-11-23T01:37:54.8364837Z 3485 32 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.8364926Z 34 LOAD_ATTR 1 (ops) 2022-11-23T01:37:54.8365017Z 36 LOAD_ATTR 2 (aten) 2022-11-23T01:37:54.8365114Z 38 LOAD_METHOD 3 (index_put_) 2022-11-23T01:37:54.8365203Z 40 LOAD_FAST 3 (a1) 2022-11-23T01:37:54.8365280Z 42 LOAD_CONST 0 (None) 2022-11-23T01:37:54.8365368Z 44 LOAD_FAST 1 (b) 2022-11-23T01:37:54.8365453Z 46 LOAD_CONST 1 (1) 2022-11-23T01:37:54.8365524Z 48 BINARY_ADD 2022-11-23T01:37:54.8365611Z 50 LOAD_CONST 0 (None) 2022-11-23T01:37:54.8365698Z 52 BUILD_TUPLE 3 2022-11-23T01:37:54.8365787Z 54 LOAD_FAST 2 (c) 2022-11-23T01:37:54.8365862Z 56 LOAD_CONST 1 (1) 2022-11-23T01:37:54.8365932Z 58 BINARY_ADD 2022-11-23T01:37:54.8366017Z 60 CALL_METHOD 3 2022-11-23T01:37:54.8366087Z 62 POP_TOP 2022-11-23T01:37:54.8366093Z 2022-11-23T01:37:54.8366177Z 3486 64 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8366264Z 66 LOAD_FAST 3 (a1) 2022-11-23T01:37:54.8366351Z 68 BUILD_TUPLE 2 2022-11-23T01:37:54.8366414Z 70 RETURN_VALUE 2022-11-23T01:37:54.8366476Z 2022-11-23T01:37:54.8366481Z 2022-11-23T01:37:54.8366752Z [2022-11-23 01:32:33,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3483 2022-11-23T01:37:54.8366976Z [2022-11-23 01:32:33,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.8367370Z [2022-11-23 01:32:33,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:37:54.8367669Z [2022-11-23 01:32:33,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:37:54.8367982Z [2022-11-23 01:32:33,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable()] 2022-11-23T01:37:54.8368246Z [2022-11-23 01:32:33,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)] 2022-11-23T01:37:54.8368571Z [2022-11-23 01:32:33,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable()] 2022-11-23T01:37:54.8368903Z [2022-11-23 01:32:33,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:54.8369261Z [2022-11-23 01:32:33,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable()] 2022-11-23T01:37:54.8369676Z [2022-11-23 01:32:33,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:54.8369988Z [2022-11-23 01:32:33,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable()] 2022-11-23T01:37:54.8370341Z [2022-11-23 01:32:33,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable(), TensorVariable()] 2022-11-23T01:37:54.8370587Z [2022-11-23 01:32:33,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()] 2022-11-23T01:37:54.8370860Z [2022-11-23 01:32:33,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3484 2022-11-23T01:37:54.8371074Z [2022-11-23 01:32:33,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:54.8371315Z [2022-11-23 01:32:33,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:37:54.8371601Z [2022-11-23 01:32:33,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8371848Z [2022-11-23 01:32:33,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a1 [TensorVariable()] 2022-11-23T01:37:54.8372106Z [2022-11-23 01:32:33,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3485 2022-11-23T01:37:54.8372326Z [2022-11-23 01:32:33,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.8372691Z [2022-11-23 01:32:33,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:37:54.8372986Z [2022-11-23 01:32:33,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:37:54.8373302Z [2022-11-23 01:32:33,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable()] 2022-11-23T01:37:54.8373567Z [2022-11-23 01:32:33,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a1 [TorchVariable(aten.index_put_)] 2022-11-23T01:37:54.8373865Z [2022-11-23 01:32:33,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable()] 2022-11-23T01:37:54.8374198Z [2022-11-23 01:32:33,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:54.8374593Z [2022-11-23 01:32:33,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable()] 2022-11-23T01:37:54.8375005Z [2022-11-23 01:32:33,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8375372Z [2022-11-23 01:32:33,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable()] 2022-11-23T01:37:54.8375819Z [2022-11-23 01:32:33,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:54.8376121Z [2022-11-23 01:32:33,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable()] 2022-11-23T01:37:54.8376465Z [2022-11-23 01:32:33,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable(), TensorVariable()] 2022-11-23T01:37:54.8376852Z [2022-11-23 01:32:33,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8377197Z [2022-11-23 01:32:33,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.index_put_), TensorVariable(), TupleVariable(), TensorVariable()] 2022-11-23T01:37:54.8377449Z [2022-11-23 01:32:33,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()] 2022-11-23T01:37:54.8377723Z [2022-11-23 01:32:33,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3486 2022-11-23T01:37:54.8377937Z [2022-11-23 01:32:33,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:54.8378182Z [2022-11-23 01:32:33,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a1 [TensorVariable()] 2022-11-23T01:37:54.8378456Z [2022-11-23 01:32:33,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8378709Z [2022-11-23 01:32:33,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.8379289Z [2022-11-23 01:32:33,944] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.8379531Z [2022-11-23 01:32:33,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.8379768Z [2022-11-23 01:32:33,944] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.8380030Z [2022-11-23 01:32:33,945] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.8380339Z [2022-11-23 01:32:33,949] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation 2022-11-23T01:37:54.8380609Z [2022-11-23 01:32:33,950] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager 2022-11-23T01:37:54.8380864Z [2022-11-23 01:32:33,950] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.8381059Z [2022-11-23 01:32:33,950] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.8381196Z __compiled_fn_197 .1643 opcode, name, target, args, kwargs 2022-11-23T01:37:54.8381293Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.8381366Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.8381453Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:37:54.8381599Z call_function, index_put_, aten.index_put_, (ex_0_, (None, ex_1_, None), ex_2_), {} 2022-11-23T01:37:54.8381834Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:54.8382017Z call_function, add_1, , (ex_1_, 1), {} 2022-11-23T01:37:54.8382191Z call_function, add_2, , (ex_2_, 1), {} 2022-11-23T01:37:54.8382338Z call_function, index_put__1, aten.index_put_, (add, (None, add_1, None), add_2), {} 2022-11-23T01:37:54.8382420Z output, output, output, ((add,),), {} 2022-11-23T01:37:54.8382440Z 2022-11-23T01:37:54.8382708Z [2022-11-23 01:32:33,950] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8382803Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.8382937Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8383034Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.8383125Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.8383203Z 8 RETURN_VALUE 2022-11-23T01:37:54.8383208Z 2022-11-23T01:37:54.8383270Z 2022-11-23T01:37:54.8383542Z [2022-11-23 01:32:33,951] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8383653Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_197) 2022-11-23T01:37:54.8383744Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8383837Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8383915Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.8384005Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8384095Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.8384157Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.8384248Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8384334Z 16 LOAD_CONST 3 (2) 2022-11-23T01:37:54.8384410Z 18 BINARY_SUBSCR 2022-11-23T01:37:54.8384497Z 20 CALL_FUNCTION 3 2022-11-23T01:37:54.8384604Z 22 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8384694Z 24 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8384781Z 26 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8384845Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.8384950Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8385040Z 32 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8385117Z 34 BINARY_SUBSCR 2022-11-23T01:37:54.8385205Z 36 BUILD_TUPLE 2 2022-11-23T01:37:54.8385280Z 38 RETURN_VALUE 2022-11-23T01:37:54.8385285Z 2022-11-23T01:37:54.8385346Z 2022-11-23T01:37:54.8385518Z [2022-11-23 01:32:33,951] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.8385591Z - 2022-11-23T01:37:54.8385715Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.8385777Z { 2022-11-23T01:37:54.8385917Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.8386108Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 3'], 2022-11-23T01:37:54.8386230Z 'obj_weakref': None 2022-11-23T01:37:54.8386445Z 'guarded_class': 2022-11-23T01:37:54.8386508Z } 2022-11-23T01:37:54.8386571Z 2022-11-23T01:37:54.8386642Z - 2022-11-23T01:37:54.8386768Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.8386828Z { 2022-11-23T01:37:54.8386971Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8387065Z 'code': None, 2022-11-23T01:37:54.8387280Z 'obj_weakref': 2022-11-23T01:37:54.8387539Z 'guarded_class': 2022-11-23T01:37:54.8387604Z } 2022-11-23T01:37:54.8387664Z 2022-11-23T01:37:54.8387733Z - 2022-11-23T01:37:54.8387886Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.8387940Z { 2022-11-23T01:37:54.8388085Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8388279Z 'code': None, 2022-11-23T01:37:54.8388496Z 'obj_weakref': 2022-11-23T01:37:54.8388753Z 'guarded_class': 2022-11-23T01:37:54.8388818Z } 2022-11-23T01:37:54.8388880Z 2022-11-23T01:37:54.8388937Z - 2022-11-23T01:37:54.8389065Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:37:54.8389166Z { 2022-11-23T01:37:54.8389313Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8389422Z 'code': None, 2022-11-23T01:37:54.8389638Z 'obj_weakref': 2022-11-23T01:37:54.8389900Z 'guarded_class': 2022-11-23T01:37:54.8389952Z } 2022-11-23T01:37:54.8390014Z 2022-11-23T01:37:54.8390085Z - 2022-11-23T01:37:54.8390217Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.8390280Z { 2022-11-23T01:37:54.8390414Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.8390586Z 'code': ['___check_obj_id(model, 140538744298960)'], 2022-11-23T01:37:54.8390695Z 'obj_weakref': None 2022-11-23T01:37:54.8390927Z 'guarded_class': 2022-11-23T01:37:54.8390992Z } 2022-11-23T01:37:54.8391054Z 2022-11-23T01:37:54.8391125Z - 2022-11-23T01:37:54.8391247Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.8391311Z { 2022-11-23T01:37:54.8391436Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.8391655Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.8391776Z 'obj_weakref': None 2022-11-23T01:37:54.8391999Z 'guarded_class': 2022-11-23T01:37:54.8392062Z } 2022-11-23T01:37:54.8392123Z 2022-11-23T01:37:54.8392194Z - 2022-11-23T01:37:54.8392317Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.8392380Z { 2022-11-23T01:37:54.8392501Z 'guard_types': None, 2022-11-23T01:37:54.8392612Z 'code': None, 2022-11-23T01:37:54.8392733Z 'obj_weakref': None 2022-11-23T01:37:54.8392856Z 'guarded_class': None 2022-11-23T01:37:54.8392917Z } 2022-11-23T01:37:54.8392968Z 2022-11-23T01:37:54.8393033Z ok (0.036s) 2022-11-23T01:37:54.8393373Z test_index_put_as_masked_fill_cpu (__main__.CpuTests) ... [2022-11-23 01:32:33,957] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.8393644Z [2022-11-23 01:32:33,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.8393865Z [2022-11-23 01:32:33,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.8394121Z [2022-11-23 01:32:33,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.8394411Z [2022-11-23 01:32:33,957] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.8394742Z [2022-11-23 01:32:33,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.8395061Z [2022-11-23 01:32:33,958] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.8395189Z 3499 0 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8395286Z 2 LOAD_METHOD 0 (clone) 2022-11-23T01:37:54.8395374Z 4 CALL_METHOD 0 2022-11-23T01:37:54.8395464Z 6 STORE_FAST 0 (a) 2022-11-23T01:37:54.8395469Z 2022-11-23T01:37:54.8395561Z 3500 8 LOAD_GLOBAL 1 (torch) 2022-11-23T01:37:54.8395651Z 10 LOAD_ATTR 2 (ops) 2022-11-23T01:37:54.8395741Z 12 LOAD_ATTR 3 (aten) 2022-11-23T01:37:54.8395828Z 14 LOAD_METHOD 4 (index_put_) 2022-11-23T01:37:54.8395954Z 16 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8396040Z 18 LOAD_FAST 1 (b) 2022-11-23T01:37:54.8396126Z 20 BUILD_LIST 1 2022-11-23T01:37:54.8396212Z 22 LOAD_FAST 2 (c) 2022-11-23T01:37:54.8396297Z 24 LOAD_FAST 3 (d) 2022-11-23T01:37:54.8396385Z 26 CALL_METHOD 4 2022-11-23T01:37:54.8396445Z 28 POP_TOP 2022-11-23T01:37:54.8396461Z 2022-11-23T01:37:54.8396535Z 3501 30 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8396608Z 32 RETURN_VALUE 2022-11-23T01:37:54.8396667Z 2022-11-23T01:37:54.8396671Z 2022-11-23T01:37:54.8396942Z [2022-11-23 01:32:33,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3499 2022-11-23T01:37:54.8397160Z [2022-11-23 01:32:33,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:54.8397411Z [2022-11-23 01:32:33,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()] 2022-11-23T01:37:54.8397693Z [2022-11-23 01:32:33,958] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)] 2022-11-23T01:37:54.8397933Z [2022-11-23 01:32:33,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()] 2022-11-23T01:37:54.8398193Z [2022-11-23 01:32:33,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3500 2022-11-23T01:37:54.8398412Z [2022-11-23 01:32:33,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.8398781Z [2022-11-23 01:32:33,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:37:54.8399078Z [2022-11-23 01:32:33,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:37:54.8399398Z [2022-11-23 01:32:33,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable()] 2022-11-23T01:37:54.8399660Z [2022-11-23 01:32:33,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)] 2022-11-23T01:37:54.8399949Z [2022-11-23 01:32:33,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable()] 2022-11-23T01:37:54.8400268Z [2022-11-23 01:32:33,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index_put_), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8400581Z [2022-11-23 01:32:33,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()] 2022-11-23T01:37:54.8400921Z [2022-11-23 01:32:33,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:37:54.8401307Z [2022-11-23 01:32:33,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)] 2022-11-23T01:37:54.8401568Z [2022-11-23 01:32:33,966] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()] 2022-11-23T01:37:54.8401839Z [2022-11-23 01:32:33,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3501 2022-11-23T01:37:54.8402050Z [2022-11-23 01:32:33,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:54.8402301Z [2022-11-23 01:32:33,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.8402635Z [2022-11-23 01:32:33,967] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.8402935Z [2022-11-23 01:32:33,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.8403173Z [2022-11-23 01:32:33,967] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.8403428Z [2022-11-23 01:32:33,968] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.8403681Z [2022-11-23 01:32:33,971] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.8403861Z [2022-11-23 01:32:33,971] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.8403995Z __compiled_fn_198 .1649 opcode, name, target, args, kwargs 2022-11-23T01:37:54.8404084Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.8404169Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.8404253Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:37:54.8404345Z call_method, clone, clone, (ex_0_,), {} 2022-11-23T01:37:54.8404487Z call_function, index_put_, aten.index_put_, (clone, [ex_1_], ex_2_, False), {} 2022-11-23T01:37:54.8404570Z output, output, output, ((clone,),), {} 2022-11-23T01:37:54.8404587Z 2022-11-23T01:37:54.8404852Z [2022-11-23 01:32:33,971] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8404947Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.8405036Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8405131Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.8405221Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.8405297Z 8 RETURN_VALUE 2022-11-23T01:37:54.8405303Z 2022-11-23T01:37:54.8405362Z 2022-11-23T01:37:54.8405628Z [2022-11-23 01:32:33,971] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8405735Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_198) 2022-11-23T01:37:54.8405825Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8405911Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8405988Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.8406075Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8406159Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.8406234Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.8406307Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8406391Z 16 LOAD_CONST 3 (2) 2022-11-23T01:37:54.8406465Z 18 BINARY_SUBSCR 2022-11-23T01:37:54.8406552Z 20 CALL_FUNCTION 3 2022-11-23T01:37:54.8406641Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.8406713Z 24 RETURN_VALUE 2022-11-23T01:37:54.8406718Z 2022-11-23T01:37:54.8406776Z 2022-11-23T01:37:54.8406949Z [2022-11-23 01:32:33,972] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.8407019Z - 2022-11-23T01:37:54.8407141Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.8407204Z { 2022-11-23T01:37:54.8407345Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.8407534Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 4'], 2022-11-23T01:37:54.8407659Z 'obj_weakref': None 2022-11-23T01:37:54.8407898Z 'guarded_class': 2022-11-23T01:37:54.8407964Z } 2022-11-23T01:37:54.8408026Z 2022-11-23T01:37:54.8408101Z - 2022-11-23T01:37:54.8408227Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.8408290Z { 2022-11-23T01:37:54.8408434Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8408529Z 'code': None, 2022-11-23T01:37:54.8408746Z 'obj_weakref': 2022-11-23T01:37:54.8409002Z 'guarded_class': 2022-11-23T01:37:54.8409096Z } 2022-11-23T01:37:54.8409157Z 2022-11-23T01:37:54.8409227Z - 2022-11-23T01:37:54.8409351Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.8409400Z { 2022-11-23T01:37:54.8409541Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8409652Z 'code': None, 2022-11-23T01:37:54.8409864Z 'obj_weakref': 2022-11-23T01:37:54.8410120Z 'guarded_class': 2022-11-23T01:37:54.8410184Z } 2022-11-23T01:37:54.8410246Z 2022-11-23T01:37:54.8410303Z - 2022-11-23T01:37:54.8410425Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:37:54.8410487Z { 2022-11-23T01:37:54.8410629Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8410741Z 'code': None, 2022-11-23T01:37:54.8410954Z 'obj_weakref': 2022-11-23T01:37:54.8411207Z 'guarded_class': 2022-11-23T01:37:54.8411257Z } 2022-11-23T01:37:54.8411318Z 2022-11-23T01:37:54.8411388Z - 2022-11-23T01:37:54.8411520Z local 'ex[3]' CONSTANT_MATCH 2022-11-23T01:37:54.8411583Z { 2022-11-23T01:37:54.8411722Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.8411893Z 'code': ['___check_obj_id(ex[3], 93851402592992)'], 2022-11-23T01:37:54.8412000Z 'obj_weakref': None 2022-11-23T01:37:54.8412222Z 'guarded_class': 2022-11-23T01:37:54.8412283Z } 2022-11-23T01:37:54.8412345Z 2022-11-23T01:37:54.8412418Z - 2022-11-23T01:37:54.8412547Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.8412609Z { 2022-11-23T01:37:54.8412731Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.8412898Z 'code': ['___check_obj_id(model, 140538741325552)'], 2022-11-23T01:37:54.8413019Z 'obj_weakref': None 2022-11-23T01:37:54.8413254Z 'guarded_class': 2022-11-23T01:37:54.8413321Z } 2022-11-23T01:37:54.8413380Z 2022-11-23T01:37:54.8413456Z - 2022-11-23T01:37:54.8413568Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.8413633Z { 2022-11-23T01:37:54.8413769Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.8413987Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.8414106Z 'obj_weakref': None 2022-11-23T01:37:54.8414325Z 'guarded_class': 2022-11-23T01:37:54.8414396Z } 2022-11-23T01:37:54.8414445Z 2022-11-23T01:37:54.8414513Z - 2022-11-23T01:37:54.8414649Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.8414710Z { 2022-11-23T01:37:54.8414831Z 'guard_types': None, 2022-11-23T01:37:54.8414979Z 'code': None, 2022-11-23T01:37:54.8415101Z 'obj_weakref': None 2022-11-23T01:37:54.8415211Z 'guarded_class': None 2022-11-23T01:37:54.8415274Z } 2022-11-23T01:37:54.8415335Z 2022-11-23T01:37:54.8415598Z [2022-11-23 01:32:33,979] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 196 2022-11-23T01:37:54.8415967Z [2022-11-23 01:32:35,375] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/t5/ct5cqaasay7fz7f4g4ckoarl4m5snfbkjm4qojkowasfj4qhaohj.py 2022-11-23T01:37:54.8416235Z [2022-11-23 01:32:35,376] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 196 2022-11-23T01:37:54.8416546Z [2022-11-23 01:32:35,383] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.8416815Z [2022-11-23 01:32:35,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.8417025Z [2022-11-23 01:32:35,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.8417278Z [2022-11-23 01:32:35,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.8417563Z [2022-11-23 01:32:35,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.8417891Z [2022-11-23 01:32:35,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.8418229Z [2022-11-23 01:32:35,384] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.8418322Z 3499 0 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8418417Z 2 LOAD_METHOD 0 (clone) 2022-11-23T01:37:54.8418507Z 4 CALL_METHOD 0 2022-11-23T01:37:54.8418600Z 6 STORE_FAST 0 (a) 2022-11-23T01:37:54.8418606Z 2022-11-23T01:37:54.8418686Z 3500 8 LOAD_GLOBAL 1 (torch) 2022-11-23T01:37:54.8418935Z 10 LOAD_ATTR 2 (ops) 2022-11-23T01:37:54.8419083Z 12 LOAD_ATTR 3 (aten) 2022-11-23T01:37:54.8419203Z 14 LOAD_METHOD 4 (index_put_) 2022-11-23T01:37:54.8419293Z 16 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8419381Z 18 LOAD_FAST 1 (b) 2022-11-23T01:37:54.8419470Z 20 BUILD_LIST 1 2022-11-23T01:37:54.8419547Z 22 LOAD_FAST 2 (c) 2022-11-23T01:37:54.8419632Z 24 LOAD_FAST 3 (d) 2022-11-23T01:37:54.8419719Z 26 CALL_METHOD 4 2022-11-23T01:37:54.8419797Z 28 POP_TOP 2022-11-23T01:37:54.8419802Z 2022-11-23T01:37:54.8419893Z 3501 30 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8419971Z 32 RETURN_VALUE 2022-11-23T01:37:54.8420034Z 2022-11-23T01:37:54.8420039Z 2022-11-23T01:37:54.8420319Z [2022-11-23 01:32:35,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3499 2022-11-23T01:37:54.8420522Z [2022-11-23 01:32:35,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:54.8420771Z [2022-11-23 01:32:35,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()] 2022-11-23T01:37:54.8421058Z [2022-11-23 01:32:35,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)] 2022-11-23T01:37:54.8421302Z [2022-11-23 01:32:35,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()] 2022-11-23T01:37:54.8421576Z [2022-11-23 01:32:35,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3500 2022-11-23T01:37:54.8421851Z [2022-11-23 01:32:35,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.8422223Z [2022-11-23 01:32:35,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:37:54.8422524Z [2022-11-23 01:32:35,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:37:54.8422848Z [2022-11-23 01:32:35,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable()] 2022-11-23T01:37:54.8423153Z [2022-11-23 01:32:35,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)] 2022-11-23T01:37:54.8423432Z [2022-11-23 01:32:35,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable()] 2022-11-23T01:37:54.8423753Z [2022-11-23 01:32:35,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index_put_), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8424070Z [2022-11-23 01:32:35,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()] 2022-11-23T01:37:54.8424415Z [2022-11-23 01:32:35,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:37:54.8424802Z [2022-11-23 01:32:35,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)] 2022-11-23T01:37:54.8425051Z [2022-11-23 01:32:35,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()] 2022-11-23T01:37:54.8425327Z [2022-11-23 01:32:35,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3501 2022-11-23T01:37:54.8425544Z [2022-11-23 01:32:35,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:54.8425798Z [2022-11-23 01:32:35,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.8426134Z [2022-11-23 01:32:35,393] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.8426369Z [2022-11-23 01:32:35,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.8426608Z [2022-11-23 01:32:35,393] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.8426869Z [2022-11-23 01:32:35,394] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.8427127Z [2022-11-23 01:32:35,398] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.8427322Z [2022-11-23 01:32:35,399] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.8427459Z __compiled_fn_199 .1655 opcode, name, target, args, kwargs 2022-11-23T01:37:54.8427551Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.8427639Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.8427711Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:37:54.8427807Z call_method, clone, clone, (ex_0_,), {} 2022-11-23T01:37:54.8427945Z call_function, index_put_, aten.index_put_, (clone, [ex_1_], ex_2_, True), {} 2022-11-23T01:37:54.8428043Z output, output, output, ((clone,),), {} 2022-11-23T01:37:54.8428049Z 2022-11-23T01:37:54.8428420Z [2022-11-23 01:32:35,399] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8428516Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.8428609Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8428704Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.8428817Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.8428896Z 8 RETURN_VALUE 2022-11-23T01:37:54.8428902Z 2022-11-23T01:37:54.8428965Z 2022-11-23T01:37:54.8429243Z [2022-11-23 01:32:35,399] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8429353Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_199) 2022-11-23T01:37:54.8429443Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8429534Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8429612Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.8429720Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8429807Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.8429882Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.8429969Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8430053Z 16 LOAD_CONST 3 (2) 2022-11-23T01:37:54.8430132Z 18 BINARY_SUBSCR 2022-11-23T01:37:54.8430225Z 20 CALL_FUNCTION 3 2022-11-23T01:37:54.8430304Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.8430380Z 24 RETURN_VALUE 2022-11-23T01:37:54.8430385Z 2022-11-23T01:37:54.8430447Z 2022-11-23T01:37:54.8430634Z [2022-11-23 01:32:35,400] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.8430705Z - 2022-11-23T01:37:54.8430828Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.8430891Z { 2022-11-23T01:37:54.8431022Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.8431214Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 4'], 2022-11-23T01:37:54.8431335Z 'obj_weakref': None 2022-11-23T01:37:54.8431560Z 'guarded_class': 2022-11-23T01:37:54.8431627Z } 2022-11-23T01:37:54.8431688Z 2022-11-23T01:37:54.8431761Z - 2022-11-23T01:37:54.8431875Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.8431937Z { 2022-11-23T01:37:54.8432080Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8432188Z 'code': None, 2022-11-23T01:37:54.8432405Z 'obj_weakref': 2022-11-23T01:37:54.8432660Z 'guarded_class': 2022-11-23T01:37:54.8432723Z } 2022-11-23T01:37:54.8432772Z 2022-11-23T01:37:54.8432842Z - 2022-11-23T01:37:54.8432968Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.8433030Z { 2022-11-23T01:37:54.8433174Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8433283Z 'code': None, 2022-11-23T01:37:54.8433496Z 'obj_weakref': 2022-11-23T01:37:54.8433739Z 'guarded_class': 2022-11-23T01:37:54.8433804Z } 2022-11-23T01:37:54.8433866Z 2022-11-23T01:37:54.8433937Z - 2022-11-23T01:37:54.8434061Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:37:54.8434122Z { 2022-11-23T01:37:54.8434263Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8434359Z 'code': None, 2022-11-23T01:37:54.8434571Z 'obj_weakref': 2022-11-23T01:37:54.8434828Z 'guarded_class': 2022-11-23T01:37:54.8434892Z } 2022-11-23T01:37:54.8434953Z 2022-11-23T01:37:54.8435023Z - 2022-11-23T01:37:54.8435155Z local 'ex[3]' CONSTANT_MATCH 2022-11-23T01:37:54.8435204Z { 2022-11-23T01:37:54.8435369Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.8435540Z 'code': ['___check_obj_id(ex[3], 93851402593024)'], 2022-11-23T01:37:54.8435661Z 'obj_weakref': None 2022-11-23T01:37:54.8435882Z 'guarded_class': 2022-11-23T01:37:54.8435944Z } 2022-11-23T01:37:54.8436004Z 2022-11-23T01:37:54.8436061Z - 2022-11-23T01:37:54.8436191Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.8436252Z { 2022-11-23T01:37:54.8436386Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.8436589Z 'code': ['___check_obj_id(model, 140538741325552)'], 2022-11-23T01:37:54.8436711Z 'obj_weakref': None 2022-11-23T01:37:54.8436945Z 'guarded_class': 2022-11-23T01:37:54.8436995Z } 2022-11-23T01:37:54.8437056Z 2022-11-23T01:37:54.8437128Z - 2022-11-23T01:37:54.8437254Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.8437316Z { 2022-11-23T01:37:54.8437454Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.8437671Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.8437779Z 'obj_weakref': None 2022-11-23T01:37:54.8438000Z 'guarded_class': 2022-11-23T01:37:54.8438062Z } 2022-11-23T01:37:54.8438124Z 2022-11-23T01:37:54.8438197Z - 2022-11-23T01:37:54.8438330Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.8438393Z { 2022-11-23T01:37:54.8438502Z 'guard_types': None, 2022-11-23T01:37:54.8438610Z 'code': None, 2022-11-23T01:37:54.8438728Z 'obj_weakref': None 2022-11-23T01:37:54.8438853Z 'guarded_class': None 2022-11-23T01:37:54.8438918Z } 2022-11-23T01:37:54.8438979Z 2022-11-23T01:37:54.8439226Z [2022-11-23 01:32:35,407] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 197 2022-11-23T01:37:54.8439604Z [2022-11-23 01:32:36,788] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xl/cxluwreuqyionuzgirz74pwbb3yan5lp6wbw5xamoluqc5pg3aia.py 2022-11-23T01:37:54.8439866Z [2022-11-23 01:32:36,789] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 197 2022-11-23T01:37:54.8439873Z 2022-11-23T01:37:54.8439969Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.8440039Z import torch 2022-11-23T01:37:54.8440106Z import random 2022-11-23T01:37:54.8440220Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.8440342Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.8440348Z 2022-11-23T01:37:54.8440424Z aten = torch.ops.aten 2022-11-23T01:37:54.8440547Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.8440637Z async_compile = AsyncCompile() 2022-11-23T01:37:54.8440642Z 2022-11-23T01:37:54.8440647Z 2022-11-23T01:37:54.8440780Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.8440984Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.8441101Z extern "C" void kernel(const bool* __restrict__ in_ptr0, 2022-11-23T01:37:54.8441204Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.8441306Z const float* __restrict__ in_ptr2, 2022-11-23T01:37:54.8441405Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.8441453Z { 2022-11-23T01:37:54.8441533Z for(long i0=0; i0<1024; i0+=1) 2022-11-23T01:37:54.8441594Z { 2022-11-23T01:37:54.8441691Z float g_tmp_buffer_in_ptr0[8] = {0}; 2022-11-23T01:37:54.8441807Z flag_to_float(in_ptr0 + 8*i0, g_tmp_buffer_in_ptr0, 8); 2022-11-23T01:37:54.8441983Z auto tmp0 = at::vec::Vectorized::loadu(g_tmp_buffer_in_ptr0); 2022-11-23T01:37:54.8442104Z auto tmp1 = at::vec::Vectorized(in_ptr1[0]); 2022-11-23T01:37:54.8442221Z auto tmp2 = at::vec::Vectorized::loadu(in_ptr2 + 8*i0); 2022-11-23T01:37:54.8442341Z auto tmp3 = decltype(tmp1)::blendv(tmp2, tmp1, tmp0); 2022-11-23T01:37:54.8442429Z tmp3.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.8442491Z } 2022-11-23T01:37:54.8442580Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.8442661Z for(long i0=8192; i0<8192; i0+=1) 2022-11-23T01:37:54.8442721Z { 2022-11-23T01:37:54.8442819Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.8442899Z auto tmp1 = in_ptr1[0]; 2022-11-23T01:37:54.8442977Z auto tmp2 = in_ptr2[i0]; 2022-11-23T01:37:54.8443064Z auto tmp3 = tmp0 ? tmp1 : tmp2; 2022-11-23T01:37:54.8443140Z out_ptr0[i0] = tmp3; 2022-11-23T01:37:54.8443199Z } 2022-11-23T01:37:54.8443258Z } 2022-11-23T01:37:54.8443326Z ''') 2022-11-23T01:37:54.8443333Z 2022-11-23T01:37:54.8443338Z 2022-11-23T01:37:54.8443428Z async_compile.wait(globals()) 2022-11-23T01:37:54.8443501Z del async_compile 2022-11-23T01:37:54.8443506Z 2022-11-23T01:37:54.8443575Z def call(args): 2022-11-23T01:37:54.8443659Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:54.8443728Z args.clear() 2022-11-23T01:37:54.8443935Z buf0 = empty_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8444124Z kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.8444183Z del arg0_1 2022-11-23T01:37:54.8444247Z del arg1_1 2022-11-23T01:37:54.8444310Z del arg2_1 2022-11-23T01:37:54.8444378Z return (buf0, ) 2022-11-23T01:37:54.8444384Z 2022-11-23T01:37:54.8444387Z 2022-11-23T01:37:54.8444461Z if __name__ == "__main__": 2022-11-23T01:37:54.8444574Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.8444699Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.8444898Z arg0_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8445098Z arg1_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.8445283Z arg2_1 = rand_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8445404Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:54.8445409Z 2022-11-23T01:37:54.8445413Z 2022-11-23T01:37:54.8445504Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.8445574Z import torch 2022-11-23T01:37:54.8445643Z import random 2022-11-23T01:37:54.8445755Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.8445863Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.8445868Z 2022-11-23T01:37:54.8445945Z aten = torch.ops.aten 2022-11-23T01:37:54.8446077Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.8446168Z async_compile = AsyncCompile() 2022-11-23T01:37:54.8446173Z 2022-11-23T01:37:54.8446177Z 2022-11-23T01:37:54.8446311Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.8446515Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.8446632Z extern "C" void kernel(const bool* __restrict__ in_ptr0, 2022-11-23T01:37:54.8446735Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.8446825Z const float* __restrict__ in_ptr2, 2022-11-23T01:37:54.8446921Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.8446984Z { 2022-11-23T01:37:54.8447064Z for(long i0=0; i0<1024; i0+=1) 2022-11-23T01:37:54.8447123Z { 2022-11-23T01:37:54.8447219Z float g_tmp_buffer_in_ptr0[8] = {0}; 2022-11-23T01:37:54.8447336Z flag_to_float(in_ptr0 + 8*i0, g_tmp_buffer_in_ptr0, 8); 2022-11-23T01:37:54.8447494Z auto tmp0 = at::vec::Vectorized::loadu(g_tmp_buffer_in_ptr0); 2022-11-23T01:37:54.8447626Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:54.8447745Z auto tmp2 = at::vec::Vectorized(in_ptr2[0]); 2022-11-23T01:37:54.8447827Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:37:54.8447949Z auto tmp4 = decltype(tmp3)::blendv(tmp1, tmp3, tmp0); 2022-11-23T01:37:54.8448037Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.8448097Z } 2022-11-23T01:37:54.8448184Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.8448253Z for(long i0=8192; i0<8192; i0+=1) 2022-11-23T01:37:54.8448356Z { 2022-11-23T01:37:54.8448437Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.8448516Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:54.8448594Z auto tmp2 = in_ptr2[0]; 2022-11-23T01:37:54.8448672Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:37:54.8448757Z auto tmp4 = tmp0 ? tmp3 : tmp1; 2022-11-23T01:37:54.8448821Z out_ptr0[i0] = tmp4; 2022-11-23T01:37:54.8448881Z } 2022-11-23T01:37:54.8448942Z } 2022-11-23T01:37:54.8449022Z ''') 2022-11-23T01:37:54.8449028Z 2022-11-23T01:37:54.8449033Z 2022-11-23T01:37:54.8449121Z async_compile.wait(globals()) 2022-11-23T01:37:54.8449192Z del async_compile 2022-11-23T01:37:54.8449197Z 2022-11-23T01:37:54.8449266Z def call(args): 2022-11-23T01:37:54.8449335Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:54.8449405Z args.clear() 2022-11-23T01:37:54.8449613Z buf0 = empty_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8449801Z kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.8449871Z del arg0_1 2022-11-23T01:37:54.8449935Z del arg1_1 2022-11-23T01:37:54.8450000Z del arg2_1 2022-11-23T01:37:54.8450057Z return (buf0, ) 2022-11-23T01:37:54.8450062Z 2022-11-23T01:37:54.8450077Z 2022-11-23T01:37:54.8450139Z if __name__ == "__main__": 2022-11-23T01:37:54.8450253Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.8450373Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.8450583Z arg0_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8450785Z arg1_1 = rand_strided((1024, 4, 2), (8, 2, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.8450973Z arg2_1 = rand_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8451092Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:54.8451097Z 2022-11-23T01:37:54.8451153Z ok (2.838s) 2022-11-23T01:37:54.8451479Z test_index_put_fallback1_cpu (__main__.CpuTests) ... [2022-11-23 01:32:36,798] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.8451748Z [2022-11-23 01:32:36,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.8451971Z [2022-11-23 01:32:36,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.8452229Z [2022-11-23 01:32:36,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.8452517Z [2022-11-23 01:32:36,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.8452844Z [2022-11-23 01:32:36,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.8453178Z [2022-11-23 01:32:36,798] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.8453273Z 3525 0 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8453365Z 2 LOAD_METHOD 0 (clone) 2022-11-23T01:37:54.8453441Z 4 CALL_METHOD 0 2022-11-23T01:37:54.8453560Z 6 STORE_FAST 0 (a) 2022-11-23T01:37:54.8453566Z 2022-11-23T01:37:54.8453660Z 3526 8 LOAD_GLOBAL 1 (torch) 2022-11-23T01:37:54.8453753Z 10 LOAD_ATTR 2 (ops) 2022-11-23T01:37:54.8453842Z 12 LOAD_ATTR 3 (aten) 2022-11-23T01:37:54.8453940Z 14 LOAD_METHOD 4 (index_put_) 2022-11-23T01:37:54.8454028Z 16 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8454103Z 18 LOAD_FAST 1 (b) 2022-11-23T01:37:54.8454189Z 20 BUILD_LIST 1 2022-11-23T01:37:54.8454311Z 22 LOAD_FAST 2 (c) 2022-11-23T01:37:54.8454397Z 24 LOAD_FAST 3 (d) 2022-11-23T01:37:54.8454481Z 26 CALL_METHOD 4 2022-11-23T01:37:54.8454553Z 28 POP_TOP 2022-11-23T01:37:54.8454558Z 2022-11-23T01:37:54.8454645Z 3527 30 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8454721Z 32 RETURN_VALUE 2022-11-23T01:37:54.8454770Z 2022-11-23T01:37:54.8454774Z 2022-11-23T01:37:54.8455046Z [2022-11-23 01:32:36,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3525 2022-11-23T01:37:54.8455261Z [2022-11-23 01:32:36,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:54.8455507Z [2022-11-23 01:32:36,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()] 2022-11-23T01:37:54.8455790Z [2022-11-23 01:32:36,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)] 2022-11-23T01:37:54.8456036Z [2022-11-23 01:32:36,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()] 2022-11-23T01:37:54.8456305Z [2022-11-23 01:32:36,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3526 2022-11-23T01:37:54.8456526Z [2022-11-23 01:32:36,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.8456891Z [2022-11-23 01:32:36,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:37:54.8457175Z [2022-11-23 01:32:36,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:37:54.8457490Z [2022-11-23 01:32:36,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable()] 2022-11-23T01:37:54.8457756Z [2022-11-23 01:32:36,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)] 2022-11-23T01:37:54.8458042Z [2022-11-23 01:32:36,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable()] 2022-11-23T01:37:54.8458362Z [2022-11-23 01:32:36,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index_put_), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8458675Z [2022-11-23 01:32:36,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()] 2022-11-23T01:37:54.8459240Z [2022-11-23 01:32:36,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:37:54.8459634Z [2022-11-23 01:32:36,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)] 2022-11-23T01:37:54.8459885Z [2022-11-23 01:32:36,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()] 2022-11-23T01:37:54.8460158Z [2022-11-23 01:32:36,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3527 2022-11-23T01:37:54.8460413Z [2022-11-23 01:32:36,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:54.8460668Z [2022-11-23 01:32:36,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.8461004Z [2022-11-23 01:32:36,808] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.8461254Z [2022-11-23 01:32:36,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.8461493Z [2022-11-23 01:32:36,808] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.8461794Z [2022-11-23 01:32:36,809] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.8462048Z [2022-11-23 01:32:36,813] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.8462244Z [2022-11-23 01:32:36,813] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.8462380Z __compiled_fn_200 .1661 opcode, name, target, args, kwargs 2022-11-23T01:37:54.8462458Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.8462544Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.8462632Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:37:54.8462727Z call_method, clone, clone, (ex_0_,), {} 2022-11-23T01:37:54.8462865Z call_function, index_put_, aten.index_put_, (clone, [ex_1_], ex_2_, False), {} 2022-11-23T01:37:54.8462963Z output, output, output, ((clone,),), {} 2022-11-23T01:37:54.8462968Z 2022-11-23T01:37:54.8463249Z [2022-11-23 01:32:36,813] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8463347Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.8463425Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8463519Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.8463612Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.8463689Z 8 RETURN_VALUE 2022-11-23T01:37:54.8463694Z 2022-11-23T01:37:54.8463755Z 2022-11-23T01:37:54.8464028Z [2022-11-23 01:32:36,813] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8464138Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_200) 2022-11-23T01:37:54.8464229Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8464306Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8464383Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.8464475Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8464562Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.8464638Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.8464725Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8464811Z 16 LOAD_CONST 3 (2) 2022-11-23T01:37:54.8464874Z 18 BINARY_SUBSCR 2022-11-23T01:37:54.8464965Z 20 CALL_FUNCTION 3 2022-11-23T01:37:54.8465055Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.8465131Z 24 RETURN_VALUE 2022-11-23T01:37:54.8465136Z 2022-11-23T01:37:54.8465196Z 2022-11-23T01:37:54.8465384Z [2022-11-23 01:32:36,814] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.8465459Z - 2022-11-23T01:37:54.8465567Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.8465633Z { 2022-11-23T01:37:54.8465779Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.8465971Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 4'], 2022-11-23T01:37:54.8466099Z 'obj_weakref': None 2022-11-23T01:37:54.8466326Z 'guarded_class': 2022-11-23T01:37:54.8466393Z } 2022-11-23T01:37:54.8466443Z 2022-11-23T01:37:54.8466516Z - 2022-11-23T01:37:54.8466679Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.8466746Z { 2022-11-23T01:37:54.8466890Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8467003Z 'code': None, 2022-11-23T01:37:54.8467222Z 'obj_weakref': 2022-11-23T01:37:54.8467467Z 'guarded_class': 2022-11-23T01:37:54.8467531Z } 2022-11-23T01:37:54.8467596Z 2022-11-23T01:37:54.8467670Z - 2022-11-23T01:37:54.8467831Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.8467895Z { 2022-11-23T01:37:54.8468043Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8468214Z 'code': None, 2022-11-23T01:37:54.8468436Z 'obj_weakref': 2022-11-23T01:37:54.8468694Z 'guarded_class': 2022-11-23T01:37:54.8468759Z } 2022-11-23T01:37:54.8468821Z 2022-11-23T01:37:54.8468890Z - 2022-11-23T01:37:54.8469016Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:37:54.8469068Z { 2022-11-23T01:37:54.8469211Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8469319Z 'code': None, 2022-11-23T01:37:54.8469530Z 'obj_weakref': 2022-11-23T01:37:54.8469786Z 'guarded_class': 2022-11-23T01:37:54.8469851Z } 2022-11-23T01:37:54.8469916Z 2022-11-23T01:37:54.8469974Z - 2022-11-23T01:37:54.8470105Z local 'ex[3]' CONSTANT_MATCH 2022-11-23T01:37:54.8470167Z { 2022-11-23T01:37:54.8470301Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.8470470Z 'code': ['___check_obj_id(ex[3], 93851402592992)'], 2022-11-23T01:37:54.8470592Z 'obj_weakref': None 2022-11-23T01:37:54.8470818Z 'guarded_class': 2022-11-23T01:37:54.8470869Z } 2022-11-23T01:37:54.8470930Z 2022-11-23T01:37:54.8470998Z - 2022-11-23T01:37:54.8471130Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.8471191Z { 2022-11-23T01:37:54.8471323Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.8471492Z 'code': ['___check_obj_id(model, 140538741323104)'], 2022-11-23T01:37:54.8471602Z 'obj_weakref': None 2022-11-23T01:37:54.8471834Z 'guarded_class': 2022-11-23T01:37:54.8471897Z } 2022-11-23T01:37:54.8471960Z 2022-11-23T01:37:54.8472030Z - 2022-11-23T01:37:54.8472152Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.8472214Z { 2022-11-23T01:37:54.8472338Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.8472557Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.8472677Z 'obj_weakref': None 2022-11-23T01:37:54.8472896Z 'guarded_class': 2022-11-23T01:37:54.8472958Z } 2022-11-23T01:37:54.8473017Z 2022-11-23T01:37:54.8473085Z - 2022-11-23T01:37:54.8473211Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.8473274Z { 2022-11-23T01:37:54.8473397Z 'guard_types': None, 2022-11-23T01:37:54.8473504Z 'code': None, 2022-11-23T01:37:54.8473623Z 'obj_weakref': None 2022-11-23T01:37:54.8473745Z 'guarded_class': None 2022-11-23T01:37:54.8473805Z } 2022-11-23T01:37:54.8473894Z 2022-11-23T01:37:54.8474157Z [2022-11-23 01:32:36,823] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 198 2022-11-23T01:37:54.8474535Z [2022-11-23 01:32:38,200] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pj/cpjlmlm3xpt3sqnzhwajyrns5npln4kctkqmbidlrvchyu56l6io.py 2022-11-23T01:37:54.8474802Z [2022-11-23 01:32:38,200] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 198 2022-11-23T01:37:54.8475041Z [2022-11-23 01:32:38,207] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.8475344Z [2022-11-23 01:32:38,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.8475562Z [2022-11-23 01:32:38,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.8475818Z [2022-11-23 01:32:38,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.8476094Z [2022-11-23 01:32:38,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.8476417Z [2022-11-23 01:32:38,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.8476749Z [2022-11-23 01:32:38,208] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.8476843Z 3525 0 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8476941Z 2 LOAD_METHOD 0 (clone) 2022-11-23T01:37:54.8477031Z 4 CALL_METHOD 0 2022-11-23T01:37:54.8477120Z 6 STORE_FAST 0 (a) 2022-11-23T01:37:54.8477126Z 2022-11-23T01:37:54.8477218Z 3526 8 LOAD_GLOBAL 1 (torch) 2022-11-23T01:37:54.8477310Z 10 LOAD_ATTR 2 (ops) 2022-11-23T01:37:54.8477389Z 12 LOAD_ATTR 3 (aten) 2022-11-23T01:37:54.8477489Z 14 LOAD_METHOD 4 (index_put_) 2022-11-23T01:37:54.8477579Z 16 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8477666Z 18 LOAD_FAST 1 (b) 2022-11-23T01:37:54.8477752Z 20 BUILD_LIST 1 2022-11-23T01:37:54.8477838Z 22 LOAD_FAST 2 (c) 2022-11-23T01:37:54.8477922Z 24 LOAD_FAST 3 (d) 2022-11-23T01:37:54.8477996Z 26 CALL_METHOD 4 2022-11-23T01:37:54.8478069Z 28 POP_TOP 2022-11-23T01:37:54.8478074Z 2022-11-23T01:37:54.8478160Z 3527 30 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8478234Z 32 RETURN_VALUE 2022-11-23T01:37:54.8478292Z 2022-11-23T01:37:54.8478297Z 2022-11-23T01:37:54.8478570Z [2022-11-23 01:32:38,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3525 2022-11-23T01:37:54.8478782Z [2022-11-23 01:32:38,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:54.8479032Z [2022-11-23 01:32:38,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()] 2022-11-23T01:37:54.8479303Z [2022-11-23 01:32:38,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)] 2022-11-23T01:37:54.8479546Z [2022-11-23 01:32:38,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()] 2022-11-23T01:37:54.8479818Z [2022-11-23 01:32:38,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3526 2022-11-23T01:37:54.8480039Z [2022-11-23 01:32:38,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.8480441Z [2022-11-23 01:32:38,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:37:54.8480738Z [2022-11-23 01:32:38,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:37:54.8481053Z [2022-11-23 01:32:38,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable()] 2022-11-23T01:37:54.8481314Z [2022-11-23 01:32:38,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)] 2022-11-23T01:37:54.8481605Z [2022-11-23 01:32:38,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable()] 2022-11-23T01:37:54.8481956Z [2022-11-23 01:32:38,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index_put_), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8482271Z [2022-11-23 01:32:38,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()] 2022-11-23T01:37:54.8482596Z [2022-11-23 01:32:38,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:37:54.8482979Z [2022-11-23 01:32:38,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)] 2022-11-23T01:37:54.8483222Z [2022-11-23 01:32:38,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()] 2022-11-23T01:37:54.8483495Z [2022-11-23 01:32:38,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3527 2022-11-23T01:37:54.8483706Z [2022-11-23 01:32:38,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:54.8483954Z [2022-11-23 01:32:38,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.8484287Z [2022-11-23 01:32:38,217] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.8484536Z [2022-11-23 01:32:38,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.8484770Z [2022-11-23 01:32:38,218] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.8485025Z [2022-11-23 01:32:38,219] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.8485267Z [2022-11-23 01:32:38,222] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.8485456Z [2022-11-23 01:32:38,223] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.8485592Z __compiled_fn_201 .1667 opcode, name, target, args, kwargs 2022-11-23T01:37:54.8485680Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.8485766Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.8485848Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:37:54.8485940Z call_method, clone, clone, (ex_0_,), {} 2022-11-23T01:37:54.8486064Z call_function, index_put_, aten.index_put_, (clone, [ex_1_], ex_2_, True), {} 2022-11-23T01:37:54.8486157Z output, output, output, ((clone,),), {} 2022-11-23T01:37:54.8486163Z 2022-11-23T01:37:54.8486439Z [2022-11-23 01:32:38,223] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8486531Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.8486626Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8486719Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.8486808Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.8486882Z 8 RETURN_VALUE 2022-11-23T01:37:54.8486888Z 2022-11-23T01:37:54.8486935Z 2022-11-23T01:37:54.8487243Z [2022-11-23 01:32:38,223] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8487354Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_201) 2022-11-23T01:37:54.8487443Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8487531Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8487607Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.8487694Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8487779Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.8487842Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.8487956Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8488041Z 16 LOAD_CONST 3 (2) 2022-11-23T01:37:54.8488115Z 18 BINARY_SUBSCR 2022-11-23T01:37:54.8488201Z 20 CALL_FUNCTION 3 2022-11-23T01:37:54.8488290Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.8488365Z 24 RETURN_VALUE 2022-11-23T01:37:54.8488370Z 2022-11-23T01:37:54.8488418Z 2022-11-23T01:37:54.8488602Z [2022-11-23 01:32:38,224] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.8488676Z - 2022-11-23T01:37:54.8488797Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.8488861Z { 2022-11-23T01:37:54.8489002Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.8489190Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 4'], 2022-11-23T01:37:54.8489299Z 'obj_weakref': None 2022-11-23T01:37:54.8489522Z 'guarded_class': 2022-11-23T01:37:54.8489591Z } 2022-11-23T01:37:54.8489652Z 2022-11-23T01:37:54.8489723Z - 2022-11-23T01:37:54.8489849Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.8489910Z { 2022-11-23T01:37:54.8490040Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8490150Z 'code': None, 2022-11-23T01:37:54.8490364Z 'obj_weakref': 2022-11-23T01:37:54.8490618Z 'guarded_class': 2022-11-23T01:37:54.8490681Z } 2022-11-23T01:37:54.8490742Z 2022-11-23T01:37:54.8490810Z - 2022-11-23T01:37:54.8490922Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.8490984Z { 2022-11-23T01:37:54.8491128Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8491240Z 'code': None, 2022-11-23T01:37:54.8491454Z 'obj_weakref': 2022-11-23T01:37:54.8491710Z 'guarded_class': 2022-11-23T01:37:54.8491772Z } 2022-11-23T01:37:54.8491821Z 2022-11-23T01:37:54.8491892Z - 2022-11-23T01:37:54.8492016Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:37:54.8492079Z { 2022-11-23T01:37:54.8492224Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8492331Z 'code': None, 2022-11-23T01:37:54.8492544Z 'obj_weakref': 2022-11-23T01:37:54.8492785Z 'guarded_class': 2022-11-23T01:37:54.8492848Z } 2022-11-23T01:37:54.8492909Z 2022-11-23T01:37:54.8492983Z - 2022-11-23T01:37:54.8493113Z local 'ex[3]' CONSTANT_MATCH 2022-11-23T01:37:54.8493177Z { 2022-11-23T01:37:54.8493311Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.8493465Z 'code': ['___check_obj_id(ex[3], 93851402593024)'], 2022-11-23T01:37:54.8493585Z 'obj_weakref': None 2022-11-23T01:37:54.8493838Z 'guarded_class': 2022-11-23T01:37:54.8493902Z } 2022-11-23T01:37:54.8493964Z 2022-11-23T01:37:54.8494033Z - 2022-11-23T01:37:54.8494163Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.8494213Z { 2022-11-23T01:37:54.8494346Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.8494515Z 'code': ['___check_obj_id(model, 140538741323104)'], 2022-11-23T01:37:54.8494635Z 'obj_weakref': None 2022-11-23T01:37:54.8494869Z 'guarded_class': 2022-11-23T01:37:54.8494977Z } 2022-11-23T01:37:54.8495036Z 2022-11-23T01:37:54.8495095Z - 2022-11-23T01:37:54.8495217Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.8495279Z { 2022-11-23T01:37:54.8495416Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.8495634Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.8495754Z 'obj_weakref': None 2022-11-23T01:37:54.8495973Z 'guarded_class': 2022-11-23T01:37:54.8496025Z } 2022-11-23T01:37:54.8496085Z 2022-11-23T01:37:54.8496155Z - 2022-11-23T01:37:54.8496289Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.8496351Z { 2022-11-23T01:37:54.8496470Z 'guard_types': None, 2022-11-23T01:37:54.8496577Z 'code': None, 2022-11-23T01:37:54.8496686Z 'obj_weakref': None 2022-11-23T01:37:54.8496807Z 'guarded_class': None 2022-11-23T01:37:54.8496871Z } 2022-11-23T01:37:54.8496932Z 2022-11-23T01:37:54.8497193Z [2022-11-23 01:32:38,231] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 199 2022-11-23T01:37:54.8497567Z [2022-11-23 01:32:38,239] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ha/chaa7sbv67ccoxbg5jmfujdd7ebo2blwagj3ldwunpbxi7xyikm6.py 2022-11-23T01:37:54.8497833Z [2022-11-23 01:32:38,239] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 199 2022-11-23T01:37:54.8497838Z 2022-11-23T01:37:54.8497929Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.8497985Z import torch 2022-11-23T01:37:54.8498052Z import random 2022-11-23T01:37:54.8498168Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.8498288Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.8498296Z 2022-11-23T01:37:54.8498372Z aten = torch.ops.aten 2022-11-23T01:37:54.8498504Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.8498595Z async_compile = AsyncCompile() 2022-11-23T01:37:54.8498601Z 2022-11-23T01:37:54.8498605Z 2022-11-23T01:37:54.8498862Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.8499159Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.8499288Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.8499388Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.8499448Z { 2022-11-23T01:37:54.8499526Z #pragma GCC ivdep 2022-11-23T01:37:54.8499607Z for(long i0=0; i0<3; i0+=1) 2022-11-23T01:37:54.8499655Z { 2022-11-23T01:37:54.8499717Z { 2022-11-23T01:37:54.8499779Z { 2022-11-23T01:37:54.8499865Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.8499949Z out_ptr0[i0] = tmp0; 2022-11-23T01:37:54.8500011Z } 2022-11-23T01:37:54.8500072Z } 2022-11-23T01:37:54.8500118Z } 2022-11-23T01:37:54.8500177Z } 2022-11-23T01:37:54.8500261Z ''') 2022-11-23T01:37:54.8500266Z 2022-11-23T01:37:54.8500270Z 2022-11-23T01:37:54.8500357Z async_compile.wait(globals()) 2022-11-23T01:37:54.8500427Z del async_compile 2022-11-23T01:37:54.8500492Z 2022-11-23T01:37:54.8500565Z def call(args): 2022-11-23T01:37:54.8500649Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:54.8500708Z args.clear() 2022-11-23T01:37:54.8500905Z buf0 = empty_strided((3, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8501039Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.8501109Z del arg0_1 2022-11-23T01:37:54.8501218Z aten.index_put_(buf0, [arg1_1], arg2_1, False) 2022-11-23T01:37:54.8501286Z del arg1_1 2022-11-23T01:37:54.8501353Z del arg2_1 2022-11-23T01:37:54.8501453Z return (buf0, ) 2022-11-23T01:37:54.8501459Z 2022-11-23T01:37:54.8501477Z 2022-11-23T01:37:54.8501540Z if __name__ == "__main__": 2022-11-23T01:37:54.8501654Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.8501780Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.8501982Z arg0_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8502172Z arg1_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.8502366Z arg2_1 = rand_strided((2, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8502492Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:54.8502496Z 2022-11-23T01:37:54.8502500Z 2022-11-23T01:37:54.8502594Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.8502650Z import torch 2022-11-23T01:37:54.8502720Z import random 2022-11-23T01:37:54.8502835Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.8502958Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.8502963Z 2022-11-23T01:37:54.8503040Z aten = torch.ops.aten 2022-11-23T01:37:54.8503174Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.8503267Z async_compile = AsyncCompile() 2022-11-23T01:37:54.8503271Z 2022-11-23T01:37:54.8503275Z 2022-11-23T01:37:54.8503412Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.8503607Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.8503727Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.8503828Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.8503890Z { 2022-11-23T01:37:54.8503966Z #pragma GCC ivdep 2022-11-23T01:37:54.8504046Z for(long i0=0; i0<3; i0+=1) 2022-11-23T01:37:54.8504106Z { 2022-11-23T01:37:54.8504158Z { 2022-11-23T01:37:54.8504223Z { 2022-11-23T01:37:54.8504311Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.8504396Z out_ptr0[i0] = tmp0; 2022-11-23T01:37:54.8504458Z } 2022-11-23T01:37:54.8504521Z } 2022-11-23T01:37:54.8504569Z } 2022-11-23T01:37:54.8504628Z } 2022-11-23T01:37:54.8504708Z ''') 2022-11-23T01:37:54.8504713Z 2022-11-23T01:37:54.8504717Z 2022-11-23T01:37:54.8504805Z async_compile.wait(globals()) 2022-11-23T01:37:54.8504880Z del async_compile 2022-11-23T01:37:54.8504885Z 2022-11-23T01:37:54.8504956Z def call(args): 2022-11-23T01:37:54.8505038Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:54.8505095Z args.clear() 2022-11-23T01:37:54.8505288Z buf0 = empty_strided((3, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8505423Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.8505493Z del arg0_1 2022-11-23T01:37:54.8505596Z aten.index_put_(buf0, [arg1_1], arg2_1, True) 2022-11-23T01:37:54.8505665Z del arg1_1 2022-11-23T01:37:54.8505731Z del arg2_1 2022-11-23T01:37:54.8505791Z return (buf0, ) 2022-11-23T01:37:54.8505810Z 2022-11-23T01:37:54.8505814Z 2022-11-23T01:37:54.8505877Z if __name__ == "__main__": 2022-11-23T01:37:54.8505991Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.8506113Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.8506343Z arg0_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8506532Z arg1_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.8506726Z arg2_1 = rand_strided((2, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8506847Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:54.8506852Z 2022-11-23T01:37:54.8506918Z ok (1.449s) 2022-11-23T01:37:54.8507236Z test_index_put_fallback2_cpu (__main__.CpuTests) ... [2022-11-23 01:32:38,245] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.8507546Z [2022-11-23 01:32:38,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.8507766Z [2022-11-23 01:32:38,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.8508023Z [2022-11-23 01:32:38,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.8508408Z [2022-11-23 01:32:38,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.8508735Z [2022-11-23 01:32:38,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.8509073Z [2022-11-23 01:32:38,246] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.8509167Z 3551 0 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8509263Z 2 LOAD_METHOD 0 (clone) 2022-11-23T01:37:54.8509343Z 4 CALL_METHOD 0 2022-11-23T01:37:54.8509433Z 6 STORE_FAST 0 (a) 2022-11-23T01:37:54.8509438Z 2022-11-23T01:37:54.8509531Z 3552 8 LOAD_GLOBAL 1 (torch) 2022-11-23T01:37:54.8509621Z 10 LOAD_ATTR 2 (ops) 2022-11-23T01:37:54.8509713Z 12 LOAD_ATTR 3 (aten) 2022-11-23T01:37:54.8509814Z 14 LOAD_METHOD 4 (index_put_) 2022-11-23T01:37:54.8509903Z 16 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8509981Z 18 LOAD_CONST 0 (None) 2022-11-23T01:37:54.8510070Z 20 LOAD_FAST 1 (b) 2022-11-23T01:37:54.8510158Z 22 LOAD_FAST 2 (c) 2022-11-23T01:37:54.8510242Z 24 BUILD_LIST 3 2022-11-23T01:37:54.8510332Z 26 LOAD_FAST 3 (d) 2022-11-23T01:37:54.8510419Z 28 LOAD_FAST 4 (e) 2022-11-23T01:37:54.8510505Z 30 CALL_METHOD 4 2022-11-23T01:37:54.8510574Z 32 POP_TOP 2022-11-23T01:37:54.8510579Z 2022-11-23T01:37:54.8510652Z 3553 34 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8510728Z 36 RETURN_VALUE 2022-11-23T01:37:54.8510787Z 2022-11-23T01:37:54.8510794Z 2022-11-23T01:37:54.8511066Z [2022-11-23 01:32:38,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3551 2022-11-23T01:37:54.8511279Z [2022-11-23 01:32:38,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:54.8511526Z [2022-11-23 01:32:38,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()] 2022-11-23T01:37:54.8511809Z [2022-11-23 01:32:38,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)] 2022-11-23T01:37:54.8512052Z [2022-11-23 01:32:38,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()] 2022-11-23T01:37:54.8512313Z [2022-11-23 01:32:38,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3552 2022-11-23T01:37:54.8512533Z [2022-11-23 01:32:38,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.8512930Z [2022-11-23 01:32:38,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:37:54.8513231Z [2022-11-23 01:32:38,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:37:54.8513548Z [2022-11-23 01:32:38,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable()] 2022-11-23T01:37:54.8513808Z [2022-11-23 01:32:38,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)] 2022-11-23T01:37:54.8514132Z [2022-11-23 01:32:38,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable()] 2022-11-23T01:37:54.8514466Z [2022-11-23 01:32:38,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:54.8514829Z [2022-11-23 01:32:38,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable()] 2022-11-23T01:37:54.8515217Z [2022-11-23 01:32:38,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8515529Z [2022-11-23 01:32:38,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()] 2022-11-23T01:37:54.8515873Z [2022-11-23 01:32:38,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:37:54.8516248Z [2022-11-23 01:32:38,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)] 2022-11-23T01:37:54.8516495Z [2022-11-23 01:32:38,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()] 2022-11-23T01:37:54.8516764Z [2022-11-23 01:32:38,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3553 2022-11-23T01:37:54.8516978Z [2022-11-23 01:32:38,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:54.8517226Z [2022-11-23 01:32:38,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.8517560Z [2022-11-23 01:32:38,255] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.8517809Z [2022-11-23 01:32:38,255] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.8518042Z [2022-11-23 01:32:38,255] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.8518299Z [2022-11-23 01:32:38,256] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.8518541Z [2022-11-23 01:32:38,259] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.8518730Z [2022-11-23 01:32:38,260] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.8518863Z __compiled_fn_202 .1673 opcode, name, target, args, kwargs 2022-11-23T01:37:54.8518951Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.8519037Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.8519122Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:37:54.8519204Z placeholder, ex_3_, ex_3_, (), {} 2022-11-23T01:37:54.8519296Z call_method, clone, clone, (ex_0_,), {} 2022-11-23T01:37:54.8519434Z call_function, index_put_, aten.index_put_, (clone, [None, ex_1_, ex_2_], ex_3_, False), {} 2022-11-23T01:37:54.8519529Z output, output, output, ((clone,),), {} 2022-11-23T01:37:54.8519598Z 2022-11-23T01:37:54.8519880Z [2022-11-23 01:32:38,260] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8519973Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.8520062Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8520152Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.8520242Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.8520317Z 8 RETURN_VALUE 2022-11-23T01:37:54.8520322Z 2022-11-23T01:37:54.8520369Z 2022-11-23T01:37:54.8520677Z [2022-11-23 01:32:38,260] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8520787Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_202) 2022-11-23T01:37:54.8520876Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8520964Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8521042Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.8521129Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8521203Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.8521280Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.8521366Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8521451Z 16 LOAD_CONST 3 (2) 2022-11-23T01:37:54.8521524Z 18 BINARY_SUBSCR 2022-11-23T01:37:54.8521608Z 20 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8521691Z 22 LOAD_CONST 4 (3) 2022-11-23T01:37:54.8521755Z 24 BINARY_SUBSCR 2022-11-23T01:37:54.8521839Z 26 CALL_FUNCTION 4 2022-11-23T01:37:54.8521927Z 28 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.8522000Z 30 RETURN_VALUE 2022-11-23T01:37:54.8522005Z 2022-11-23T01:37:54.8522062Z 2022-11-23T01:37:54.8522245Z [2022-11-23 01:32:38,261] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.8522319Z - 2022-11-23T01:37:54.8522428Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.8522494Z { 2022-11-23T01:37:54.8522634Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.8522823Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 5'], 2022-11-23T01:37:54.8522947Z 'obj_weakref': None 2022-11-23T01:37:54.8523174Z 'guarded_class': 2022-11-23T01:37:54.8523237Z } 2022-11-23T01:37:54.8523288Z 2022-11-23T01:37:54.8523359Z - 2022-11-23T01:37:54.8523486Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.8523548Z { 2022-11-23T01:37:54.8523693Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8523801Z 'code': None, 2022-11-23T01:37:54.8524015Z 'obj_weakref': 2022-11-23T01:37:54.8524275Z 'guarded_class': 2022-11-23T01:37:54.8524328Z } 2022-11-23T01:37:54.8524390Z 2022-11-23T01:37:54.8524463Z - 2022-11-23T01:37:54.8524587Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.8524650Z { 2022-11-23T01:37:54.8524793Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8524891Z 'code': None, 2022-11-23T01:37:54.8525104Z 'obj_weakref': 2022-11-23T01:37:54.8525360Z 'guarded_class': 2022-11-23T01:37:54.8525424Z } 2022-11-23T01:37:54.8525486Z 2022-11-23T01:37:54.8525557Z - 2022-11-23T01:37:54.8525683Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:37:54.8525734Z { 2022-11-23T01:37:54.8525906Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8526019Z 'code': None, 2022-11-23T01:37:54.8526230Z 'obj_weakref': 2022-11-23T01:37:54.8526484Z 'guarded_class': 2022-11-23T01:37:54.8526548Z } 2022-11-23T01:37:54.8526609Z 2022-11-23T01:37:54.8526679Z - 2022-11-23T01:37:54.8526791Z local 'ex[3]' TENSOR_MATCH 2022-11-23T01:37:54.8526854Z { 2022-11-23T01:37:54.8526996Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8527137Z 'code': None, 2022-11-23T01:37:54.8527350Z 'obj_weakref': 2022-11-23T01:37:54.8527604Z 'guarded_class': 2022-11-23T01:37:54.8527670Z } 2022-11-23T01:37:54.8527722Z 2022-11-23T01:37:54.8527793Z - 2022-11-23T01:37:54.8527925Z local 'ex[4]' CONSTANT_MATCH 2022-11-23T01:37:54.8527992Z { 2022-11-23T01:37:54.8528128Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.8528297Z 'code': ['___check_obj_id(ex[4], 93851402592992)'], 2022-11-23T01:37:54.8528418Z 'obj_weakref': None 2022-11-23T01:37:54.8528630Z 'guarded_class': 2022-11-23T01:37:54.8528693Z } 2022-11-23T01:37:54.8528760Z 2022-11-23T01:37:54.8528831Z - 2022-11-23T01:37:54.8528960Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.8529021Z { 2022-11-23T01:37:54.8529144Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.8529314Z 'code': ['___check_obj_id(model, 140538744169536)'], 2022-11-23T01:37:54.8529435Z 'obj_weakref': None 2022-11-23T01:37:54.8529668Z 'guarded_class': 2022-11-23T01:37:54.8529730Z } 2022-11-23T01:37:54.8529791Z 2022-11-23T01:37:54.8529861Z - 2022-11-23T01:37:54.8529971Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.8530033Z { 2022-11-23T01:37:54.8530170Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.8530387Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.8530506Z 'obj_weakref': None 2022-11-23T01:37:54.8530728Z 'guarded_class': 2022-11-23T01:37:54.8530789Z } 2022-11-23T01:37:54.8530838Z 2022-11-23T01:37:54.8530907Z - 2022-11-23T01:37:54.8531044Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.8531106Z { 2022-11-23T01:37:54.8531231Z 'guard_types': None, 2022-11-23T01:37:54.8531340Z 'code': None, 2022-11-23T01:37:54.8531460Z 'obj_weakref': None 2022-11-23T01:37:54.8531570Z 'guarded_class': None 2022-11-23T01:37:54.8531634Z } 2022-11-23T01:37:54.8531696Z 2022-11-23T01:37:54.8531958Z [2022-11-23 01:32:38,267] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 200 2022-11-23T01:37:54.8532334Z [2022-11-23 01:32:39,627] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/eg/ceghigx3mrjy7kzsqqgbr3rzvhgbz4aitxcldayq4fm5ufr3a5cr.py 2022-11-23T01:37:54.8532602Z [2022-11-23 01:32:39,627] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 200 2022-11-23T01:37:54.8532841Z [2022-11-23 01:32:39,634] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.8533143Z [2022-11-23 01:32:39,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.8533352Z [2022-11-23 01:32:39,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.8533607Z [2022-11-23 01:32:39,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.8533893Z [2022-11-23 01:32:39,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.8534218Z [2022-11-23 01:32:39,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.8534583Z [2022-11-23 01:32:39,635] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.8534675Z 3551 0 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8534770Z 2 LOAD_METHOD 0 (clone) 2022-11-23T01:37:54.8534861Z 4 CALL_METHOD 0 2022-11-23T01:37:54.8534951Z 6 STORE_FAST 0 (a) 2022-11-23T01:37:54.8534956Z 2022-11-23T01:37:54.8535042Z 3552 8 LOAD_GLOBAL 1 (torch) 2022-11-23T01:37:54.8535130Z 10 LOAD_ATTR 2 (ops) 2022-11-23T01:37:54.8535221Z 12 LOAD_ATTR 3 (aten) 2022-11-23T01:37:54.8535319Z 14 LOAD_METHOD 4 (index_put_) 2022-11-23T01:37:54.8535406Z 16 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8535494Z 18 LOAD_CONST 0 (None) 2022-11-23T01:37:54.8535584Z 20 LOAD_FAST 1 (b) 2022-11-23T01:37:54.8535673Z 22 LOAD_FAST 2 (c) 2022-11-23T01:37:54.8535748Z 24 BUILD_LIST 3 2022-11-23T01:37:54.8535832Z 26 LOAD_FAST 3 (d) 2022-11-23T01:37:54.8535916Z 28 LOAD_FAST 4 (e) 2022-11-23T01:37:54.8536003Z 30 CALL_METHOD 4 2022-11-23T01:37:54.8536074Z 32 POP_TOP 2022-11-23T01:37:54.8536079Z 2022-11-23T01:37:54.8536162Z 3553 34 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8536237Z 36 RETURN_VALUE 2022-11-23T01:37:54.8536284Z 2022-11-23T01:37:54.8536289Z 2022-11-23T01:37:54.8536562Z [2022-11-23 01:32:39,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3551 2022-11-23T01:37:54.8536776Z [2022-11-23 01:32:39,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:54.8537028Z [2022-11-23 01:32:39,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TensorVariable()] 2022-11-23T01:37:54.8537311Z [2022-11-23 01:32:39,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), clone)] 2022-11-23T01:37:54.8537553Z [2022-11-23 01:32:39,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()] 2022-11-23T01:37:54.8537822Z [2022-11-23 01:32:39,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3552 2022-11-23T01:37:54.8538041Z [2022-11-23 01:32:39,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.8538403Z [2022-11-23 01:32:39,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:37:54.8538685Z [2022-11-23 01:32:39,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:37:54.8539218Z [2022-11-23 01:32:39,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_put_ [TorchVariable()] 2022-11-23T01:37:54.8539485Z [2022-11-23 01:32:39,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.index_put_)] 2022-11-23T01:37:54.8539833Z [2022-11-23 01:32:39,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.index_put_), TensorVariable()] 2022-11-23T01:37:54.8540173Z [2022-11-23 01:32:39,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:54.8540537Z [2022-11-23 01:32:39,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable()] 2022-11-23T01:37:54.8540933Z [2022-11-23 01:32:39,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.index_put_), TensorVariable(), ConstantVariable(NoneType), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8541304Z [2022-11-23 01:32:39,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TorchVariable(aten.index_put_), TensorVariable(), ListVariable()] 2022-11-23T01:37:54.8541647Z [2022-11-23 01:32:39,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:37:54.8542036Z [2022-11-23 01:32:39,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.index_put_), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(bool)] 2022-11-23T01:37:54.8542279Z [2022-11-23 01:32:39,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()] 2022-11-23T01:37:54.8542548Z [2022-11-23 01:32:39,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3553 2022-11-23T01:37:54.8542752Z [2022-11-23 01:32:39,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:54.8542997Z [2022-11-23 01:32:39,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.8543328Z [2022-11-23 01:32:39,645] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.8543575Z [2022-11-23 01:32:39,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.8543812Z [2022-11-23 01:32:39,645] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.8544070Z [2022-11-23 01:32:39,646] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.8544325Z [2022-11-23 01:32:39,650] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.8544518Z [2022-11-23 01:32:39,650] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.8544653Z __compiled_fn_203 .1679 opcode, name, target, args, kwargs 2022-11-23T01:37:54.8544729Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.8544815Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.8544899Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:37:54.8544984Z placeholder, ex_3_, ex_3_, (), {} 2022-11-23T01:37:54.8545078Z call_method, clone, clone, (ex_0_,), {} 2022-11-23T01:37:54.8545226Z call_function, index_put_, aten.index_put_, (clone, [None, ex_1_, ex_2_], ex_3_, True), {} 2022-11-23T01:37:54.8545322Z output, output, output, ((clone,),), {} 2022-11-23T01:37:54.8545328Z 2022-11-23T01:37:54.8545594Z [2022-11-23 01:32:39,651] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8545691Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.8545782Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8545879Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.8545970Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.8546047Z 8 RETURN_VALUE 2022-11-23T01:37:54.8546053Z 2022-11-23T01:37:54.8546121Z 2022-11-23T01:37:54.8546434Z [2022-11-23 01:32:39,651] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8546534Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_203) 2022-11-23T01:37:54.8546626Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8546716Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8546795Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.8546885Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8546974Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.8547050Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.8547125Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8547243Z 16 LOAD_CONST 3 (2) 2022-11-23T01:37:54.8547323Z 18 BINARY_SUBSCR 2022-11-23T01:37:54.8547410Z 20 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8547500Z 22 LOAD_CONST 4 (3) 2022-11-23T01:37:54.8547576Z 24 BINARY_SUBSCR 2022-11-23T01:37:54.8547671Z 26 CALL_FUNCTION 4 2022-11-23T01:37:54.8547750Z 28 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.8547826Z 30 RETURN_VALUE 2022-11-23T01:37:54.8547831Z 2022-11-23T01:37:54.8547889Z 2022-11-23T01:37:54.8548079Z [2022-11-23 01:32:39,652] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.8548225Z - 2022-11-23T01:37:54.8548355Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.8548421Z { 2022-11-23T01:37:54.8548553Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.8548744Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 5'], 2022-11-23T01:37:54.8548871Z 'obj_weakref': None 2022-11-23T01:37:54.8549100Z 'guarded_class': 2022-11-23T01:37:54.8549167Z } 2022-11-23T01:37:54.8549232Z 2022-11-23T01:37:54.8549305Z - 2022-11-23T01:37:54.8549419Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.8549487Z { 2022-11-23T01:37:54.8549634Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8549745Z 'code': None, 2022-11-23T01:37:54.8549965Z 'obj_weakref': 2022-11-23T01:37:54.8550224Z 'guarded_class': 2022-11-23T01:37:54.8550290Z } 2022-11-23T01:37:54.8550353Z 2022-11-23T01:37:54.8550411Z - 2022-11-23T01:37:54.8550537Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.8550604Z { 2022-11-23T01:37:54.8550751Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8550859Z 'code': None, 2022-11-23T01:37:54.8551075Z 'obj_weakref': 2022-11-23T01:37:54.8551333Z 'guarded_class': 2022-11-23T01:37:54.8551385Z } 2022-11-23T01:37:54.8551449Z 2022-11-23T01:37:54.8551522Z - 2022-11-23T01:37:54.8551648Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:37:54.8551713Z { 2022-11-23T01:37:54.8551858Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8551954Z 'code': None, 2022-11-23T01:37:54.8552167Z 'obj_weakref': 2022-11-23T01:37:54.8552417Z 'guarded_class': 2022-11-23T01:37:54.8552485Z } 2022-11-23T01:37:54.8552549Z 2022-11-23T01:37:54.8552618Z - 2022-11-23T01:37:54.8552742Z local 'ex[3]' TENSOR_MATCH 2022-11-23T01:37:54.8552802Z { 2022-11-23T01:37:54.8552932Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8553076Z 'code': None, 2022-11-23T01:37:54.8553291Z 'obj_weakref': 2022-11-23T01:37:54.8553545Z 'guarded_class': 2022-11-23T01:37:54.8553608Z } 2022-11-23T01:37:54.8553668Z 2022-11-23T01:37:54.8553736Z - 2022-11-23T01:37:54.8553855Z local 'ex[4]' CONSTANT_MATCH 2022-11-23T01:37:54.8553916Z { 2022-11-23T01:37:54.8554055Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.8554222Z 'code': ['___check_obj_id(ex[4], 93851402593024)'], 2022-11-23T01:37:54.8554376Z 'obj_weakref': None 2022-11-23T01:37:54.8554597Z 'guarded_class': 2022-11-23T01:37:54.8554663Z } 2022-11-23T01:37:54.8554712Z 2022-11-23T01:37:54.8554784Z - 2022-11-23T01:37:54.8554918Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.8554981Z { 2022-11-23T01:37:54.8555116Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.8555286Z 'code': ['___check_obj_id(model, 140538744169536)'], 2022-11-23T01:37:54.8555407Z 'obj_weakref': None 2022-11-23T01:37:54.8555627Z 'guarded_class': 2022-11-23T01:37:54.8555690Z } 2022-11-23T01:37:54.8555750Z 2022-11-23T01:37:54.8555819Z - 2022-11-23T01:37:54.8555943Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.8556007Z { 2022-11-23T01:37:54.8556131Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.8556348Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.8556468Z 'obj_weakref': None 2022-11-23T01:37:54.8556691Z 'guarded_class': 2022-11-23T01:37:54.8556754Z } 2022-11-23T01:37:54.8556814Z 2022-11-23T01:37:54.8556884Z - 2022-11-23T01:37:54.8557004Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.8557065Z { 2022-11-23T01:37:54.8557184Z 'guard_types': None, 2022-11-23T01:37:54.8557295Z 'code': None, 2022-11-23T01:37:54.8557413Z 'obj_weakref': None 2022-11-23T01:37:54.8557535Z 'guarded_class': None 2022-11-23T01:37:54.8557596Z } 2022-11-23T01:37:54.8557644Z 2022-11-23T01:37:54.8557911Z [2022-11-23 01:32:39,659] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 201 2022-11-23T01:37:54.8558292Z [2022-11-23 01:32:39,668] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sk/csk6vr7gsfengpokzwrfxgldw4rjb6vncpbnkrcchd6lzoppf4y5.py 2022-11-23T01:37:54.8558562Z [2022-11-23 01:32:39,668] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 201 2022-11-23T01:37:54.8558568Z 2022-11-23T01:37:54.8558663Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.8558730Z import torch 2022-11-23T01:37:54.8558801Z import random 2022-11-23T01:37:54.8558914Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.8559022Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.8559038Z 2022-11-23T01:37:54.8559103Z aten = torch.ops.aten 2022-11-23T01:37:54.8559233Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.8559325Z async_compile = AsyncCompile() 2022-11-23T01:37:54.8559332Z 2022-11-23T01:37:54.8559337Z 2022-11-23T01:37:54.8559472Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.8559676Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.8559798Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.8559930Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.8559980Z { 2022-11-23T01:37:54.8560054Z #pragma GCC ivdep 2022-11-23T01:37:54.8560133Z for(long i0=0; i0<6; i0+=1) 2022-11-23T01:37:54.8560193Z { 2022-11-23T01:37:54.8560254Z { 2022-11-23T01:37:54.8560316Z { 2022-11-23T01:37:54.8560401Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.8560471Z out_ptr0[i0] = tmp0; 2022-11-23T01:37:54.8560532Z } 2022-11-23T01:37:54.8560592Z } 2022-11-23T01:37:54.8560651Z } 2022-11-23T01:37:54.8560708Z } 2022-11-23T01:37:54.8560786Z ''') 2022-11-23T01:37:54.8560821Z 2022-11-23T01:37:54.8560825Z 2022-11-23T01:37:54.8560917Z async_compile.wait(globals()) 2022-11-23T01:37:54.8560977Z del async_compile 2022-11-23T01:37:54.8560981Z 2022-11-23T01:37:54.8561048Z def call(args): 2022-11-23T01:37:54.8561138Z arg0_1, arg1_1, arg2_1, arg3_1 = args 2022-11-23T01:37:54.8561207Z args.clear() 2022-11-23T01:37:54.8561414Z buf0 = empty_strided((1, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8561547Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.8561616Z del arg0_1 2022-11-23T01:37:54.8561722Z aten.index_put_(buf0, [None,arg1_1,arg2_1], arg3_1, False) 2022-11-23T01:37:54.8561786Z del arg1_1 2022-11-23T01:37:54.8561849Z del arg2_1 2022-11-23T01:37:54.8561912Z del arg3_1 2022-11-23T01:37:54.8561981Z return (buf0, ) 2022-11-23T01:37:54.8561987Z 2022-11-23T01:37:54.8561991Z 2022-11-23T01:37:54.8562065Z if __name__ == "__main__": 2022-11-23T01:37:54.8562177Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.8562289Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.8562494Z arg0_1 = rand_strided((1, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8562683Z arg1_1 = rand_strided((2, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.8562872Z arg2_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.8563061Z arg3_1 = rand_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8563188Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1])) 2022-11-23T01:37:54.8563193Z 2022-11-23T01:37:54.8563197Z 2022-11-23T01:37:54.8563289Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.8563356Z import torch 2022-11-23T01:37:54.8563424Z import random 2022-11-23T01:37:54.8563525Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.8563643Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.8563651Z 2022-11-23T01:37:54.8563727Z aten = torch.ops.aten 2022-11-23T01:37:54.8563858Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.8563947Z async_compile = AsyncCompile() 2022-11-23T01:37:54.8563952Z 2022-11-23T01:37:54.8563957Z 2022-11-23T01:37:54.8564091Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.8564298Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.8564417Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.8564503Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.8564564Z { 2022-11-23T01:37:54.8564639Z #pragma GCC ivdep 2022-11-23T01:37:54.8564717Z for(long i0=0; i0<6; i0+=1) 2022-11-23T01:37:54.8564776Z { 2022-11-23T01:37:54.8564838Z { 2022-11-23T01:37:54.8564888Z { 2022-11-23T01:37:54.8564973Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.8565054Z out_ptr0[i0] = tmp0; 2022-11-23T01:37:54.8565119Z } 2022-11-23T01:37:54.8565181Z } 2022-11-23T01:37:54.8565241Z } 2022-11-23T01:37:54.8565301Z } 2022-11-23T01:37:54.8565367Z ''') 2022-11-23T01:37:54.8565372Z 2022-11-23T01:37:54.8565376Z 2022-11-23T01:37:54.8565463Z async_compile.wait(globals()) 2022-11-23T01:37:54.8565532Z del async_compile 2022-11-23T01:37:54.8565537Z 2022-11-23T01:37:54.8565636Z def call(args): 2022-11-23T01:37:54.8565725Z arg0_1, arg1_1, arg2_1, arg3_1 = args 2022-11-23T01:37:54.8565795Z args.clear() 2022-11-23T01:37:54.8565998Z buf0 = empty_strided((1, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8566132Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.8566187Z del arg0_1 2022-11-23T01:37:54.8566302Z aten.index_put_(buf0, [None,arg1_1,arg2_1], arg3_1, True) 2022-11-23T01:37:54.8566369Z del arg1_1 2022-11-23T01:37:54.8566432Z del arg2_1 2022-11-23T01:37:54.8566528Z del arg3_1 2022-11-23T01:37:54.8566598Z return (buf0, ) 2022-11-23T01:37:54.8566602Z 2022-11-23T01:37:54.8566606Z 2022-11-23T01:37:54.8566680Z if __name__ == "__main__": 2022-11-23T01:37:54.8566781Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.8566902Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.8567110Z arg0_1 = rand_strided((1, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8567300Z arg1_1 = rand_strided((2, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.8567487Z arg2_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.8567673Z arg3_1 = rand_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8567799Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1])) 2022-11-23T01:37:54.8567805Z 2022-11-23T01:37:54.8567870Z ok (1.428s) 2022-11-23T01:37:54.8568176Z test_index_select_cpu (__main__.CpuTests) ... [2022-11-23 01:32:39,673] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.8568450Z [2022-11-23 01:32:39,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.8568672Z [2022-11-23 01:32:39,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.8568931Z [2022-11-23 01:32:39,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.8569222Z [2022-11-23 01:32:39,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.8569547Z [2022-11-23 01:32:39,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.8569881Z [2022-11-23 01:32:39,673] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.8569983Z 2850 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.8570084Z 2 LOAD_METHOD 1 (index_select) 2022-11-23T01:37:54.8570163Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8570251Z 6 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8570338Z 8 LOAD_FAST 1 (b) 2022-11-23T01:37:54.8570428Z 10 CALL_METHOD 3 2022-11-23T01:37:54.8570433Z 2022-11-23T01:37:54.8570526Z 2851 12 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.8570625Z 14 LOAD_METHOD 1 (index_select) 2022-11-23T01:37:54.8570712Z 16 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8570787Z 18 LOAD_CONST 2 (1) 2022-11-23T01:37:54.8570873Z 20 LOAD_FAST 1 (b) 2022-11-23T01:37:54.8570959Z 22 CALL_METHOD 3 2022-11-23T01:37:54.8570964Z 2022-11-23T01:37:54.8571058Z 2852 24 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.8571157Z 26 LOAD_METHOD 1 (index_select) 2022-11-23T01:37:54.8571247Z 28 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.8571345Z 30 LOAD_METHOD 1 (index_select) 2022-11-23T01:37:54.8571431Z 32 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8571538Z 34 LOAD_CONST 3 (2) 2022-11-23T01:37:54.8571625Z 36 LOAD_FAST 1 (b) 2022-11-23T01:37:54.8571712Z 38 CALL_METHOD 3 2022-11-23T01:37:54.8571797Z 40 LOAD_CONST 2 (1) 2022-11-23T01:37:54.8571880Z 42 LOAD_FAST 1 (b) 2022-11-23T01:37:54.8571966Z 44 CALL_METHOD 3 2022-11-23T01:37:54.8572053Z 46 BUILD_TUPLE 3 2022-11-23T01:37:54.8572118Z 48 RETURN_VALUE 2022-11-23T01:37:54.8572176Z 2022-11-23T01:37:54.8572209Z 2022-11-23T01:37:54.8572487Z [2022-11-23 01:32:39,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2850 2022-11-23T01:37:54.8572711Z [2022-11-23 01:32:39,673] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.8573094Z [2022-11-23 01:32:39,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TorchVariable()] 2022-11-23T01:37:54.8573429Z [2022-11-23 01:32:39,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:54.8573790Z [2022-11-23 01:32:39,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.8574186Z [2022-11-23 01:32:39,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8574624Z [2022-11-23 01:32:39,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:37:54.8574895Z [2022-11-23 01:32:39,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2851 2022-11-23T01:37:54.8575144Z [2022-11-23 01:32:39,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:37:54.8575538Z [2022-11-23 01:32:39,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.8575903Z [2022-11-23 01:32:39,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.8576301Z [2022-11-23 01:32:39,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.8576733Z [2022-11-23 01:32:39,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8577195Z [2022-11-23 01:32:39,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:37:54.8577463Z [2022-11-23 01:32:39,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2852 2022-11-23T01:37:54.8577744Z [2022-11-23 01:32:39,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8578181Z [2022-11-23 01:32:39,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.8578606Z [2022-11-23 01:32:39,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.8579393Z [2022-11-23 01:32:39,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TensorVariable(), TorchVariable(), TorchVariable()] 2022-11-23T01:37:54.8579909Z [2022-11-23 01:32:39,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(), TorchVariable()] 2022-11-23T01:37:54.8580525Z [2022-11-23 01:32:39,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.8581104Z [2022-11-23 01:32:39,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8581710Z [2022-11-23 01:32:39,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:37:54.8582133Z [2022-11-23 01:32:39,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.8582589Z [2022-11-23 01:32:39,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8583080Z [2022-11-23 01:32:39,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:37:54.8583385Z [2022-11-23 01:32:39,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8583638Z [2022-11-23 01:32:39,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.8583960Z [2022-11-23 01:32:39,679] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.8584211Z [2022-11-23 01:32:39,679] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.8584450Z [2022-11-23 01:32:39,679] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.8584707Z [2022-11-23 01:32:39,680] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.8584963Z [2022-11-23 01:32:39,684] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.8585159Z [2022-11-23 01:32:39,684] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.8585295Z __compiled_fn_204 .1685 opcode, name, target, args, kwargs 2022-11-23T01:37:54.8585383Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.8585512Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.8585773Z call_function, index_select, , (ex_0_, 0, ex_1_), {} 2022-11-23T01:37:54.8586037Z call_function, index_select_1, , (ex_0_, 1, ex_1_), {} 2022-11-23T01:37:54.8586294Z call_function, index_select_2, , (ex_0_, 2, ex_1_), {} 2022-11-23T01:37:54.8586573Z call_function, index_select_3, , (index_select_2, 1, ex_1_), {} 2022-11-23T01:37:54.8586760Z output, output, output, ((index_select, index_select_1, index_select_3),), {} 2022-11-23T01:37:54.8586766Z 2022-11-23T01:37:54.8587046Z [2022-11-23 01:32:39,684] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8587140Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.8587232Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8587326Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.8587403Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.8587478Z 8 RETURN_VALUE 2022-11-23T01:37:54.8587484Z 2022-11-23T01:37:54.8587544Z 2022-11-23T01:37:54.8587823Z [2022-11-23 01:32:39,685] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8587931Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_204) 2022-11-23T01:37:54.8588020Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8588195Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8588265Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.8588352Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8588438Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.8588514Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.8588605Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.8588712Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8588815Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8588892Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8588968Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.8589071Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8589159Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:54.8589235Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.8589334Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8589427Z 32 LOAD_CONST 3 (2) 2022-11-23T01:37:54.8589490Z 34 BINARY_SUBSCR 2022-11-23T01:37:54.8589580Z 36 BUILD_TUPLE 3 2022-11-23T01:37:54.8589655Z 38 RETURN_VALUE 2022-11-23T01:37:54.8589660Z 2022-11-23T01:37:54.8589720Z 2022-11-23T01:37:54.8589915Z [2022-11-23 01:32:39,685] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.8589990Z - 2022-11-23T01:37:54.8590116Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.8590167Z { 2022-11-23T01:37:54.8590313Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.8590505Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.8590629Z 'obj_weakref': None 2022-11-23T01:37:54.8590857Z 'guarded_class': 2022-11-23T01:37:54.8590926Z } 2022-11-23T01:37:54.8590990Z 2022-11-23T01:37:54.8591063Z - 2022-11-23T01:37:54.8591179Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.8591250Z { 2022-11-23T01:37:54.8591398Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8591510Z 'code': None, 2022-11-23T01:37:54.8591764Z 'obj_weakref': 2022-11-23T01:37:54.8592026Z 'guarded_class': 2022-11-23T01:37:54.8592093Z } 2022-11-23T01:37:54.8592144Z 2022-11-23T01:37:54.8592217Z - 2022-11-23T01:37:54.8592344Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.8592412Z { 2022-11-23T01:37:54.8592560Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8592672Z 'code': None, 2022-11-23T01:37:54.8592888Z 'obj_weakref': 2022-11-23T01:37:54.8593166Z 'guarded_class': 2022-11-23T01:37:54.8593231Z } 2022-11-23T01:37:54.8593297Z 2022-11-23T01:37:54.8593371Z - 2022-11-23T01:37:54.8593506Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.8593575Z { 2022-11-23T01:37:54.8593714Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.8593876Z 'code': ['___check_obj_id(model, 140538744297232)'], 2022-11-23T01:37:54.8593998Z 'obj_weakref': None 2022-11-23T01:37:54.8594235Z 'guarded_class': 2022-11-23T01:37:54.8594302Z } 2022-11-23T01:37:54.8594367Z 2022-11-23T01:37:54.8594438Z - 2022-11-23T01:37:54.8594550Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.8594616Z { 2022-11-23T01:37:54.8594760Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.8594979Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.8595101Z 'obj_weakref': None 2022-11-23T01:37:54.8595324Z 'guarded_class': 2022-11-23T01:37:54.8595390Z } 2022-11-23T01:37:54.8595456Z 2022-11-23T01:37:54.8595514Z - 2022-11-23T01:37:54.8595647Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.8595710Z { 2022-11-23T01:37:54.8595831Z 'guard_types': None, 2022-11-23T01:37:54.8595938Z 'code': None, 2022-11-23T01:37:54.8596058Z 'obj_weakref': None 2022-11-23T01:37:54.8596169Z 'guarded_class': None 2022-11-23T01:37:54.8596232Z } 2022-11-23T01:37:54.8596292Z 2022-11-23T01:37:54.8596556Z [2022-11-23 01:32:39,698] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 202 2022-11-23T01:37:54.8596926Z [2022-11-23 01:32:41,145] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dx/cdxu6z64gnjrx5aw4nsyj545vwoyaeeqmzgikmhk6a463snx2dtz.py 2022-11-23T01:37:54.8597195Z [2022-11-23 01:32:41,146] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 202 2022-11-23T01:37:54.8597434Z [2022-11-23 01:32:41,152] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.8597706Z [2022-11-23 01:32:41,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.8597924Z [2022-11-23 01:32:41,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.8598167Z [2022-11-23 01:32:41,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.8598454Z [2022-11-23 01:32:41,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.8598782Z [2022-11-23 01:32:41,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.8599141Z [2022-11-23 01:32:41,153] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.8599244Z 2850 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.8599349Z 2 LOAD_METHOD 1 (index_select) 2022-11-23T01:37:54.8599441Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8599528Z 6 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8599603Z 8 LOAD_FAST 1 (b) 2022-11-23T01:37:54.8599693Z 10 CALL_METHOD 3 2022-11-23T01:37:54.8599698Z 2022-11-23T01:37:54.8599793Z 2851 12 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.8599922Z 14 LOAD_METHOD 1 (index_select) 2022-11-23T01:37:54.8600009Z 16 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8600097Z 18 LOAD_CONST 2 (1) 2022-11-23T01:37:54.8600182Z 20 LOAD_FAST 1 (b) 2022-11-23T01:37:54.8600274Z 22 CALL_METHOD 3 2022-11-23T01:37:54.8600279Z 2022-11-23T01:37:54.8600359Z 2852 24 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.8600457Z 26 LOAD_METHOD 1 (index_select) 2022-11-23T01:37:54.8600549Z 28 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.8600646Z 30 LOAD_METHOD 1 (index_select) 2022-11-23T01:37:54.8600732Z 32 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8600819Z 34 LOAD_CONST 3 (2) 2022-11-23T01:37:54.8600904Z 36 LOAD_FAST 1 (b) 2022-11-23T01:37:54.8600980Z 38 CALL_METHOD 3 2022-11-23T01:37:54.8601065Z 40 LOAD_CONST 2 (1) 2022-11-23T01:37:54.8601148Z 42 LOAD_FAST 1 (b) 2022-11-23T01:37:54.8601236Z 44 CALL_METHOD 3 2022-11-23T01:37:54.8601323Z 46 BUILD_TUPLE 3 2022-11-23T01:37:54.8601399Z 48 RETURN_VALUE 2022-11-23T01:37:54.8601463Z 2022-11-23T01:37:54.8601468Z 2022-11-23T01:37:54.8601739Z [2022-11-23 01:32:41,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2850 2022-11-23T01:37:54.8601949Z [2022-11-23 01:32:41,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.8602331Z [2022-11-23 01:32:41,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TorchVariable()] 2022-11-23T01:37:54.8602668Z [2022-11-23 01:32:41,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:54.8603036Z [2022-11-23 01:32:41,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.8603437Z [2022-11-23 01:32:41,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8603874Z [2022-11-23 01:32:41,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:37:54.8604142Z [2022-11-23 01:32:41,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2851 2022-11-23T01:37:54.8604395Z [2022-11-23 01:32:41,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:37:54.8604799Z [2022-11-23 01:32:41,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.8605189Z [2022-11-23 01:32:41,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.8605585Z [2022-11-23 01:32:41,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.8606011Z [2022-11-23 01:32:41,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8606504Z [2022-11-23 01:32:41,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:37:54.8606761Z [2022-11-23 01:32:41,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2852 2022-11-23T01:37:54.8607039Z [2022-11-23 01:32:41,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8607475Z [2022-11-23 01:32:41,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.8607871Z [2022-11-23 01:32:41,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.8608434Z [2022-11-23 01:32:41,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index_select [TensorVariable(), TensorVariable(), TorchVariable(), TorchVariable()] 2022-11-23T01:37:54.8608942Z [2022-11-23 01:32:41,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(), TorchVariable()] 2022-11-23T01:37:54.8609485Z [2022-11-23 01:32:41,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.8610063Z [2022-11-23 01:32:41,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8610672Z [2022-11-23 01:32:41,157] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:37:54.8611092Z [2022-11-23 01:32:41,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.8611551Z [2022-11-23 01:32:41,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8612068Z [2022-11-23 01:32:41,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:37:54.8612369Z [2022-11-23 01:32:41,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8612619Z [2022-11-23 01:32:41,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.8612954Z [2022-11-23 01:32:41,159] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.8613237Z [2022-11-23 01:32:41,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.8613476Z [2022-11-23 01:32:41,159] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.8613723Z [2022-11-23 01:32:41,160] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.8613975Z [2022-11-23 01:32:41,165] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.8614166Z [2022-11-23 01:32:41,165] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.8614299Z __compiled_fn_205 .1691 opcode, name, target, args, kwargs 2022-11-23T01:37:54.8614386Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.8614471Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.8614736Z call_function, index_select, , (ex_0_, 0, ex_1_), {} 2022-11-23T01:37:54.8615005Z call_function, index_select_1, , (ex_0_, 1, ex_1_), {} 2022-11-23T01:37:54.8615262Z call_function, index_select_2, , (ex_0_, 2, ex_1_), {} 2022-11-23T01:37:54.8615527Z call_function, index_select_3, , (index_select_2, 1, ex_1_), {} 2022-11-23T01:37:54.8615668Z output, output, output, ((index_select, index_select_1, index_select_3),), {} 2022-11-23T01:37:54.8615674Z 2022-11-23T01:37:54.8615953Z [2022-11-23 01:32:41,166] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8616046Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.8616136Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8616227Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.8616317Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.8616392Z 8 RETURN_VALUE 2022-11-23T01:37:54.8616397Z 2022-11-23T01:37:54.8616444Z 2022-11-23T01:37:54.8616720Z [2022-11-23 01:32:41,166] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8616830Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_205) 2022-11-23T01:37:54.8616919Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8617008Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8617084Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.8617169Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8617244Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.8617317Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.8617403Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.8617505Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8617608Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8617695Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8617771Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.8617870Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8617945Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:54.8618046Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.8618148Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8618233Z 32 LOAD_CONST 3 (2) 2022-11-23T01:37:54.8618306Z 34 BINARY_SUBSCR 2022-11-23T01:37:54.8618394Z 36 BUILD_TUPLE 3 2022-11-23T01:37:54.8618469Z 38 RETURN_VALUE 2022-11-23T01:37:54.8618474Z 2022-11-23T01:37:54.8618521Z 2022-11-23T01:37:54.8618708Z [2022-11-23 01:32:41,167] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.8618937Z - 2022-11-23T01:37:54.8619112Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.8619273Z { 2022-11-23T01:37:54.8619419Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.8619610Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.8619720Z 'obj_weakref': None 2022-11-23T01:37:54.8619948Z 'guarded_class': 2022-11-23T01:37:54.8620014Z } 2022-11-23T01:37:54.8620077Z 2022-11-23T01:37:54.8620147Z - 2022-11-23T01:37:54.8620275Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.8620338Z { 2022-11-23T01:37:54.8620471Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8620579Z 'code': None, 2022-11-23T01:37:54.8620794Z 'obj_weakref': 2022-11-23T01:37:54.8621048Z 'guarded_class': 2022-11-23T01:37:54.8621117Z } 2022-11-23T01:37:54.8621181Z 2022-11-23T01:37:54.8621252Z - 2022-11-23T01:37:54.8621363Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.8621425Z { 2022-11-23T01:37:54.8621568Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8621680Z 'code': None, 2022-11-23T01:37:54.8621894Z 'obj_weakref': 2022-11-23T01:37:54.8622150Z 'guarded_class': 2022-11-23T01:37:54.8622214Z } 2022-11-23T01:37:54.8622266Z 2022-11-23T01:37:54.8622335Z - 2022-11-23T01:37:54.8622466Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.8622528Z { 2022-11-23T01:37:54.8622665Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.8622836Z 'code': ['___check_obj_id(model, 140538744297232)'], 2022-11-23T01:37:54.8622959Z 'obj_weakref': None 2022-11-23T01:37:54.8623177Z 'guarded_class': 2022-11-23T01:37:54.8623241Z } 2022-11-23T01:37:54.8623303Z 2022-11-23T01:37:54.8623374Z - 2022-11-23T01:37:54.8623498Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.8623559Z { 2022-11-23T01:37:54.8623696Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.8623905Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.8624025Z 'obj_weakref': None 2022-11-23T01:37:54.8624248Z 'guarded_class': 2022-11-23T01:37:54.8624311Z } 2022-11-23T01:37:54.8624373Z 2022-11-23T01:37:54.8624443Z - 2022-11-23T01:37:54.8624585Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.8624636Z { 2022-11-23T01:37:54.8624757Z 'guard_types': None, 2022-11-23T01:37:54.8624864Z 'code': None, 2022-11-23T01:37:54.8624981Z 'obj_weakref': None 2022-11-23T01:37:54.8625102Z 'guarded_class': None 2022-11-23T01:37:54.8625163Z } 2022-11-23T01:37:54.8625263Z 2022-11-23T01:37:54.8625518Z [2022-11-23 01:32:41,179] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 203 2022-11-23T01:37:54.8625887Z [2022-11-23 01:32:42,604] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wh/cwhffh4o47rn74j5filk4c6gsyefauht3wbzdmvpcyyoxtemxe4o.py 2022-11-23T01:37:54.8626154Z [2022-11-23 01:32:42,605] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 203 2022-11-23T01:37:54.8626161Z 2022-11-23T01:37:54.8626253Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.8626352Z import torch 2022-11-23T01:37:54.8626420Z import random 2022-11-23T01:37:54.8626534Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.8626653Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.8626659Z 2022-11-23T01:37:54.8626724Z aten = torch.ops.aten 2022-11-23T01:37:54.8626856Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.8626948Z async_compile = AsyncCompile() 2022-11-23T01:37:54.8626953Z 2022-11-23T01:37:54.8626958Z 2022-11-23T01:37:54.8627094Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.8627300Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.8627416Z extern "C" void kernel(const int* __restrict__ in_ptr0, 2022-11-23T01:37:54.8627523Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.8627621Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.8627704Z float* __restrict__ out_ptr1, 2022-11-23T01:37:54.8627800Z float* __restrict__ out_ptr2) 2022-11-23T01:37:54.8627860Z { 2022-11-23T01:37:54.8627936Z #pragma GCC ivdep 2022-11-23T01:37:54.8628015Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:54.8628075Z { 2022-11-23T01:37:54.8628232Z #pragma GCC ivdep 2022-11-23T01:37:54.8628306Z for(long i1=0; i1<64; i1+=1) 2022-11-23T01:37:54.8628371Z { 2022-11-23T01:37:54.8628434Z { 2022-11-23T01:37:54.8628499Z { 2022-11-23T01:37:54.8628591Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.8628694Z auto tmp1 = in_ptr1[i1 + (64*tmp0)]; 2022-11-23T01:37:54.8628775Z out_ptr0[i1 + (64*i0)] = tmp1; 2022-11-23T01:37:54.8628838Z } 2022-11-23T01:37:54.8628900Z } 2022-11-23T01:37:54.8628961Z } 2022-11-23T01:37:54.8629021Z } 2022-11-23T01:37:54.8629095Z #pragma GCC ivdep 2022-11-23T01:37:54.8629173Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:54.8629223Z { 2022-11-23T01:37:54.8629307Z #pragma GCC ivdep 2022-11-23T01:37:54.8629387Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:37:54.8629453Z { 2022-11-23T01:37:54.8629531Z #pragma GCC ivdep 2022-11-23T01:37:54.8629612Z for(long i2=0; i2<8; i2+=1) 2022-11-23T01:37:54.8629673Z { 2022-11-23T01:37:54.8629726Z { 2022-11-23T01:37:54.8629790Z { 2022-11-23T01:37:54.8629883Z auto tmp0 = in_ptr0[i1]; 2022-11-23T01:37:54.8629993Z auto tmp1 = in_ptr1[i2 + (8*tmp0) + (64*i0)]; 2022-11-23T01:37:54.8630093Z out_ptr1[i2 + (8*i1) + (32*i0)] = tmp1; 2022-11-23T01:37:54.8630158Z } 2022-11-23T01:37:54.8630219Z } 2022-11-23T01:37:54.8630269Z } 2022-11-23T01:37:54.8630329Z } 2022-11-23T01:37:54.8630388Z } 2022-11-23T01:37:54.8630462Z #pragma GCC ivdep 2022-11-23T01:37:54.8630539Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:54.8630598Z { 2022-11-23T01:37:54.8630661Z #pragma GCC ivdep 2022-11-23T01:37:54.8630739Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:37:54.8630799Z { 2022-11-23T01:37:54.8630876Z #pragma GCC ivdep 2022-11-23T01:37:54.8630955Z for(long i2=0; i2<4; i2+=1) 2022-11-23T01:37:54.8631050Z { 2022-11-23T01:37:54.8631114Z { 2022-11-23T01:37:54.8631169Z { 2022-11-23T01:37:54.8631262Z auto tmp0 = in_ptr0[i1]; 2022-11-23T01:37:54.8631355Z auto tmp1 = in_ptr0[i2]; 2022-11-23T01:37:54.8631471Z auto tmp2 = in_ptr1[tmp1 + (8*tmp0) + (64*i0)]; 2022-11-23T01:37:54.8631574Z out_ptr2[i2 + (4*i1) + (16*i0)] = tmp2; 2022-11-23T01:37:54.8631642Z } 2022-11-23T01:37:54.8631707Z } 2022-11-23T01:37:54.8631757Z } 2022-11-23T01:37:54.8631874Z } 2022-11-23T01:37:54.8631936Z } 2022-11-23T01:37:54.8631997Z } 2022-11-23T01:37:54.8632084Z ''') 2022-11-23T01:37:54.8632090Z 2022-11-23T01:37:54.8632094Z 2022-11-23T01:37:54.8632187Z async_compile.wait(globals()) 2022-11-23T01:37:54.8632261Z del async_compile 2022-11-23T01:37:54.8632266Z 2022-11-23T01:37:54.8632322Z def call(args): 2022-11-23T01:37:54.8632400Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.8632472Z args.clear() 2022-11-23T01:37:54.8632682Z buf0 = empty_strided((4, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8632888Z buf1 = empty_strided((8, 4, 8), (32, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8633087Z buf2 = empty_strided((8, 4, 4), (16, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8633305Z kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:37:54.8633376Z del arg0_1 2022-11-23T01:37:54.8633434Z del arg1_1 2022-11-23T01:37:54.8633517Z return (buf0, buf1, buf2, ) 2022-11-23T01:37:54.8633522Z 2022-11-23T01:37:54.8633526Z 2022-11-23T01:37:54.8633604Z if __name__ == "__main__": 2022-11-23T01:37:54.8633719Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.8633845Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.8634057Z arg0_1 = rand_strided((8, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8634249Z arg1_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:37:54.8634354Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.8634373Z 2022-11-23T01:37:54.8634377Z 2022-11-23T01:37:54.8634458Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.8634528Z import torch 2022-11-23T01:37:54.8634599Z import random 2022-11-23T01:37:54.8634713Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.8634836Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.8634843Z 2022-11-23T01:37:54.8634922Z aten = torch.ops.aten 2022-11-23T01:37:54.8635057Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.8635135Z async_compile = AsyncCompile() 2022-11-23T01:37:54.8635154Z 2022-11-23T01:37:54.8635158Z 2022-11-23T01:37:54.8635280Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.8635489Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.8635610Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:37:54.8635715Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.8635814Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.8635911Z float* __restrict__ out_ptr1, 2022-11-23T01:37:54.8636007Z float* __restrict__ out_ptr2) 2022-11-23T01:37:54.8636054Z { 2022-11-23T01:37:54.8636131Z #pragma GCC ivdep 2022-11-23T01:37:54.8636212Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:54.8636276Z { 2022-11-23T01:37:54.8636353Z #pragma GCC ivdep 2022-11-23T01:37:54.8636435Z for(long i1=0; i1<64; i1+=1) 2022-11-23T01:37:54.8636500Z { 2022-11-23T01:37:54.8636550Z { 2022-11-23T01:37:54.8636615Z { 2022-11-23T01:37:54.8636742Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.8636848Z auto tmp1 = in_ptr1[i1 + (64*tmp0)]; 2022-11-23T01:37:54.8636939Z out_ptr0[i1 + (64*i0)] = tmp1; 2022-11-23T01:37:54.8637003Z } 2022-11-23T01:37:54.8637064Z } 2022-11-23T01:37:54.8637112Z } 2022-11-23T01:37:54.8637171Z } 2022-11-23T01:37:54.8637244Z #pragma GCC ivdep 2022-11-23T01:37:54.8637320Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:54.8637382Z { 2022-11-23T01:37:54.8637459Z #pragma GCC ivdep 2022-11-23T01:37:54.8637526Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:37:54.8637615Z { 2022-11-23T01:37:54.8637693Z #pragma GCC ivdep 2022-11-23T01:37:54.8637773Z for(long i2=0; i2<8; i2+=1) 2022-11-23T01:37:54.8637834Z { 2022-11-23T01:37:54.8637895Z { 2022-11-23T01:37:54.8637960Z { 2022-11-23T01:37:54.8638041Z auto tmp0 = in_ptr0[i1]; 2022-11-23T01:37:54.8638153Z auto tmp1 = in_ptr1[i2 + (8*tmp0) + (64*i0)]; 2022-11-23T01:37:54.8638254Z out_ptr1[i2 + (8*i1) + (32*i0)] = tmp1; 2022-11-23T01:37:54.8638319Z } 2022-11-23T01:37:54.8638383Z } 2022-11-23T01:37:54.8638443Z } 2022-11-23T01:37:54.8638502Z } 2022-11-23T01:37:54.8638549Z } 2022-11-23T01:37:54.8638622Z #pragma GCC ivdep 2022-11-23T01:37:54.8638698Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:54.8638756Z { 2022-11-23T01:37:54.8638830Z #pragma GCC ivdep 2022-11-23T01:37:54.8638908Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:37:54.8638959Z { 2022-11-23T01:37:54.8639037Z #pragma GCC ivdep 2022-11-23T01:37:54.8639116Z for(long i2=0; i2<4; i2+=1) 2022-11-23T01:37:54.8639179Z { 2022-11-23T01:37:54.8639241Z { 2022-11-23T01:37:54.8639305Z { 2022-11-23T01:37:54.8639401Z auto tmp0 = in_ptr0[i1]; 2022-11-23T01:37:54.8639482Z auto tmp1 = in_ptr0[i2]; 2022-11-23T01:37:54.8639594Z auto tmp2 = in_ptr1[tmp1 + (8*tmp0) + (64*i0)]; 2022-11-23T01:37:54.8639694Z out_ptr2[i2 + (4*i1) + (16*i0)] = tmp2; 2022-11-23T01:37:54.8639759Z } 2022-11-23T01:37:54.8639822Z } 2022-11-23T01:37:54.8639883Z } 2022-11-23T01:37:54.8639943Z } 2022-11-23T01:37:54.8639990Z } 2022-11-23T01:37:54.8640049Z } 2022-11-23T01:37:54.8640131Z ''') 2022-11-23T01:37:54.8640137Z 2022-11-23T01:37:54.8640144Z 2022-11-23T01:37:54.8640233Z async_compile.wait(globals()) 2022-11-23T01:37:54.8640302Z del async_compile 2022-11-23T01:37:54.8640307Z 2022-11-23T01:37:54.8640379Z def call(args): 2022-11-23T01:37:54.8640453Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.8640511Z args.clear() 2022-11-23T01:37:54.8640717Z buf0 = empty_strided((4, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8640920Z buf1 = empty_strided((8, 4, 8), (32, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8641116Z buf2 = empty_strided((8, 4, 4), (16, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8641331Z kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:37:54.8641399Z del arg0_1 2022-11-23T01:37:54.8641464Z del arg1_1 2022-11-23T01:37:54.8641544Z return (buf0, buf1, buf2, ) 2022-11-23T01:37:54.8641550Z 2022-11-23T01:37:54.8641554Z 2022-11-23T01:37:54.8641620Z if __name__ == "__main__": 2022-11-23T01:37:54.8641733Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.8641854Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.8642059Z arg0_1 = rand_strided((8, 8, 8), (64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8642281Z arg1_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.8642399Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.8642404Z 2022-11-23T01:37:54.8642470Z ok (2.938s) 2022-11-23T01:37:54.8642807Z test_indirect_load_broadcast_cpu (__main__.CpuTests) ... [2022-11-23 01:32:42,660] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.8643067Z [2022-11-23 01:32:42,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.8643287Z [2022-11-23 01:32:42,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.8643581Z [2022-11-23 01:32:42,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.8643868Z [2022-11-23 01:32:42,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.8644198Z [2022-11-23 01:32:42,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.8644526Z [2022-11-23 01:32:42,660] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.8644622Z 3317 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.8644713Z 2 LOAD_METHOD 1 (gather) 2022-11-23T01:37:54.8644806Z 4 LOAD_FAST 1 (in_ptr1) 2022-11-23T01:37:54.8644884Z 6 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8644979Z 8 LOAD_FAST 2 (in_ptr2) 2022-11-23T01:37:54.8645065Z 10 CALL_METHOD 3 2022-11-23T01:37:54.8645159Z 12 LOAD_FAST 0 (in_ptr0) 2022-11-23T01:37:54.8645236Z 14 BINARY_ADD 2022-11-23T01:37:54.8645309Z 16 RETURN_VALUE 2022-11-23T01:37:54.8645370Z 2022-11-23T01:37:54.8645375Z 2022-11-23T01:37:54.8645649Z [2022-11-23 01:32:42,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3317 2022-11-23T01:37:54.8645859Z [2022-11-23 01:32:42,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.8646229Z [2022-11-23 01:32:42,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gather [TorchVariable()] 2022-11-23T01:37:54.8646563Z [2022-11-23 01:32:42,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST in_ptr1 [TorchVariable()] 2022-11-23T01:37:54.8646918Z [2022-11-23 01:32:42,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.8647316Z [2022-11-23 01:32:42,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST in_ptr2 [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8647746Z [2022-11-23 01:32:42,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:37:54.8647999Z [2022-11-23 01:32:42,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST in_ptr0 [TensorVariable()] 2022-11-23T01:37:54.8648275Z [2022-11-23 01:32:42,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8648526Z [2022-11-23 01:32:42,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.8648856Z [2022-11-23 01:32:42,663] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.8649133Z [2022-11-23 01:32:42,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.8649361Z [2022-11-23 01:32:42,663] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.8649615Z [2022-11-23 01:32:42,665] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.8649868Z [2022-11-23 01:32:42,669] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.8650059Z [2022-11-23 01:32:42,670] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.8650224Z __compiled_fn_206 .1697 opcode, name, target, args, kwargs 2022-11-23T01:37:54.8650311Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.8650395Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.8650478Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:37:54.8650717Z call_function, gather, , (ex_1_, 0, ex_2_), {} 2022-11-23T01:37:54.8650898Z call_function, add, , (gather, ex_0_), {} 2022-11-23T01:37:54.8650993Z output, output, output, ((add,),), {} 2022-11-23T01:37:54.8650998Z 2022-11-23T01:37:54.8651278Z [2022-11-23 01:32:42,670] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8651371Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.8651460Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8651553Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.8651642Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.8651708Z 8 RETURN_VALUE 2022-11-23T01:37:54.8651713Z 2022-11-23T01:37:54.8651772Z 2022-11-23T01:37:54.8652048Z [2022-11-23 01:32:42,670] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8652156Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_206) 2022-11-23T01:37:54.8652247Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8652335Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8652410Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.8652487Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8652572Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.8652645Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.8652729Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8652814Z 16 LOAD_CONST 3 (2) 2022-11-23T01:37:54.8652889Z 18 BINARY_SUBSCR 2022-11-23T01:37:54.8652978Z 20 CALL_FUNCTION 3 2022-11-23T01:37:54.8653056Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.8653130Z 24 RETURN_VALUE 2022-11-23T01:37:54.8653135Z 2022-11-23T01:37:54.8653193Z 2022-11-23T01:37:54.8653378Z [2022-11-23 01:32:42,671] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.8653451Z - 2022-11-23T01:37:54.8653571Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.8653634Z { 2022-11-23T01:37:54.8653777Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.8653954Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 3'], 2022-11-23T01:37:54.8654075Z 'obj_weakref': None 2022-11-23T01:37:54.8654301Z 'guarded_class': 2022-11-23T01:37:54.8654364Z } 2022-11-23T01:37:54.8654425Z 2022-11-23T01:37:54.8654495Z - 2022-11-23T01:37:54.8654623Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.8654674Z { 2022-11-23T01:37:54.8654820Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8654929Z 'code': None, 2022-11-23T01:37:54.8655146Z 'obj_weakref': 2022-11-23T01:37:54.8655433Z 'guarded_class': 2022-11-23T01:37:54.8655498Z } 2022-11-23T01:37:54.8655561Z 2022-11-23T01:37:54.8655619Z - 2022-11-23T01:37:54.8655743Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.8655806Z { 2022-11-23T01:37:54.8655951Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8656060Z 'code': None, 2022-11-23T01:37:54.8656275Z 'obj_weakref': 2022-11-23T01:37:54.8656529Z 'guarded_class': 2022-11-23T01:37:54.8656612Z } 2022-11-23T01:37:54.8656673Z 2022-11-23T01:37:54.8656743Z - 2022-11-23T01:37:54.8656869Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:37:54.8656931Z { 2022-11-23T01:37:54.8657077Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8657186Z 'code': None, 2022-11-23T01:37:54.8657383Z 'obj_weakref': 2022-11-23T01:37:54.8657637Z 'guarded_class': 2022-11-23T01:37:54.8657701Z } 2022-11-23T01:37:54.8657763Z 2022-11-23T01:37:54.8657834Z - 2022-11-23T01:37:54.8657966Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.8658029Z { 2022-11-23T01:37:54.8658154Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.8658328Z 'code': ['___check_obj_id(model, 140538741323104)'], 2022-11-23T01:37:54.8658449Z 'obj_weakref': None 2022-11-23T01:37:54.8658682Z 'guarded_class': 2022-11-23T01:37:54.8658907Z } 2022-11-23T01:37:54.8659014Z 2022-11-23T01:37:54.8659123Z - 2022-11-23T01:37:54.8659240Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.8659304Z { 2022-11-23T01:37:54.8659445Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.8659665Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.8659785Z 'obj_weakref': None 2022-11-23T01:37:54.8660008Z 'guarded_class': 2022-11-23T01:37:54.8660072Z } 2022-11-23T01:37:54.8660122Z 2022-11-23T01:37:54.8660195Z - 2022-11-23T01:37:54.8660333Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.8660397Z { 2022-11-23T01:37:54.8660519Z 'guard_types': None, 2022-11-23T01:37:54.8660628Z 'code': None, 2022-11-23T01:37:54.8660736Z 'obj_weakref': None 2022-11-23T01:37:54.8660861Z 'guarded_class': None 2022-11-23T01:37:54.8660927Z } 2022-11-23T01:37:54.8660990Z 2022-11-23T01:37:54.8661253Z [2022-11-23 01:32:42,679] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 204 2022-11-23T01:37:54.8661621Z [2022-11-23 01:32:44,068] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2g/c2gk6mzsr3tt7quxhlohjifp4f3zmu4q65gbud4wolbd6vs35nvr.py 2022-11-23T01:37:54.8661889Z [2022-11-23 01:32:44,068] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 204 2022-11-23T01:37:54.8661895Z 2022-11-23T01:37:54.8661989Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.8662049Z import torch 2022-11-23T01:37:54.8662117Z import random 2022-11-23T01:37:54.8662231Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.8662350Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.8662355Z 2022-11-23T01:37:54.8662431Z aten = torch.ops.aten 2022-11-23T01:37:54.8662623Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.8662719Z async_compile = AsyncCompile() 2022-11-23T01:37:54.8662724Z 2022-11-23T01:37:54.8662728Z 2022-11-23T01:37:54.8662867Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.8663063Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.8663181Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:37:54.8663296Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.8663457Z const float* __restrict__ in_ptr2, 2022-11-23T01:37:54.8663666Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.8663748Z { 2022-11-23T01:37:54.8663829Z #pragma GCC ivdep 2022-11-23T01:37:54.8663898Z for(long i0=0; i0<21; i0+=1) 2022-11-23T01:37:54.8663960Z { 2022-11-23T01:37:54.8664037Z #pragma GCC ivdep 2022-11-23T01:37:54.8664118Z for(long i1=0; i1<32; i1+=1) 2022-11-23T01:37:54.8664184Z { 2022-11-23T01:37:54.8664246Z { 2022-11-23T01:37:54.8664311Z { 2022-11-23T01:37:54.8664399Z auto tmp0 = in_ptr0[i1 + (32*i0)]; 2022-11-23T01:37:54.8664490Z auto tmp2 = in_ptr2[i1]; 2022-11-23T01:37:54.8664588Z auto tmp1 = in_ptr1[i0 + (512*tmp0)]; 2022-11-23T01:37:54.8664679Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:37:54.8664772Z out_ptr0[i1 + (32*i0)] = tmp3; 2022-11-23T01:37:54.8664836Z } 2022-11-23T01:37:54.8664898Z } 2022-11-23T01:37:54.8664949Z } 2022-11-23T01:37:54.8665010Z } 2022-11-23T01:37:54.8665067Z } 2022-11-23T01:37:54.8665157Z ''') 2022-11-23T01:37:54.8665162Z 2022-11-23T01:37:54.8665166Z 2022-11-23T01:37:54.8665254Z async_compile.wait(globals()) 2022-11-23T01:37:54.8665326Z del async_compile 2022-11-23T01:37:54.8665331Z 2022-11-23T01:37:54.8665400Z def call(args): 2022-11-23T01:37:54.8665469Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:54.8665540Z args.clear() 2022-11-23T01:37:54.8665744Z buf0 = empty_strided((32, 21), (1, 32), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8665931Z kernel_cpp_0(c_void_p(arg2_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.8665999Z del arg0_1 2022-11-23T01:37:54.8666062Z del arg1_1 2022-11-23T01:37:54.8666128Z del arg2_1 2022-11-23T01:37:54.8666186Z return (buf0, ) 2022-11-23T01:37:54.8666201Z 2022-11-23T01:37:54.8666205Z 2022-11-23T01:37:54.8666269Z if __name__ == "__main__": 2022-11-23T01:37:54.8666383Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.8666502Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.8666705Z arg0_1 = rand_strided((32, 1), (1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8666917Z arg1_1 = rand_strided((9521, 512), (512, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8667119Z arg2_1 = rand_strided((32, 21), (1, 32), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.8667241Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:54.8667246Z 2022-11-23T01:37:54.8667313Z ok (1.463s) 2022-11-23T01:37:54.8667599Z test_inf_cpu (__main__.CpuTests) ... [2022-11-23 01:32:44,075] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.8667873Z [2022-11-23 01:32:44,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.8668175Z [2022-11-23 01:32:44,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.8668448Z [2022-11-23 01:32:44,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.8668741Z [2022-11-23 01:32:44,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.8669107Z [2022-11-23 01:32:44,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.8669448Z [2022-11-23 01:32:44,076] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.8669544Z 2754 0 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8669641Z 2 LOAD_GLOBAL 0 (float) 2022-11-23T01:37:54.8669772Z 4 LOAD_CONST 1 ('inf') 2022-11-23T01:37:54.8669865Z 6 CALL_FUNCTION 1 2022-11-23T01:37:54.8669978Z 8 BINARY_ADD 2022-11-23T01:37:54.8670067Z 10 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8670158Z 12 LOAD_GLOBAL 0 (float) 2022-11-23T01:37:54.8676564Z 14 LOAD_CONST 2 ('-inf') 2022-11-23T01:37:54.8676708Z 16 CALL_FUNCTION 1 2022-11-23T01:37:54.8676793Z 18 BINARY_ADD 2022-11-23T01:37:54.8676886Z 20 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8676970Z 22 LOAD_GLOBAL 0 (float) 2022-11-23T01:37:54.8677148Z 24 LOAD_CONST 1 ('inf') 2022-11-23T01:37:54.8677240Z 26 CALL_FUNCTION 1 2022-11-23T01:37:54.8677318Z 28 UNARY_NEGATIVE 2022-11-23T01:37:54.8677401Z 30 BINARY_MULTIPLY 2022-11-23T01:37:54.8677489Z 32 BUILD_TUPLE 3 2022-11-23T01:37:54.8677564Z 34 RETURN_VALUE 2022-11-23T01:37:54.8677615Z 2022-11-23T01:37:54.8677633Z 2022-11-23T01:37:54.8677904Z [2022-11-23 01:32:44,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2754 2022-11-23T01:37:54.8678119Z [2022-11-23 01:32:44,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:54.8678377Z [2022-11-23 01:32:44,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TensorVariable()] 2022-11-23T01:37:54.8678662Z [2022-11-23 01:32:44,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST inf [TensorVariable(), BuiltinVariable(float)] 2022-11-23T01:37:54.8678985Z [2022-11-23 01:32:44,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), BuiltinVariable(float), ConstantVariable(str)] 2022-11-23T01:37:54.8679271Z [2022-11-23 01:32:44,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(float)] 2022-11-23T01:37:54.8679511Z [2022-11-23 01:32:44,077] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()] 2022-11-23T01:37:54.8679789Z [2022-11-23 01:32:44,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8680104Z [2022-11-23 01:32:44,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -inf [TensorVariable(), TensorVariable(), BuiltinVariable(float)] 2022-11-23T01:37:54.8680440Z [2022-11-23 01:32:44,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), BuiltinVariable(float), ConstantVariable(str)] 2022-11-23T01:37:54.8680755Z [2022-11-23 01:32:44,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:37:54.8681022Z [2022-11-23 01:32:44,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8681325Z [2022-11-23 01:32:44,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8681664Z [2022-11-23 01:32:44,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST inf [TensorVariable(), TensorVariable(), TensorVariable(), BuiltinVariable(float)] 2022-11-23T01:37:54.8682131Z [2022-11-23 01:32:44,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), BuiltinVariable(float), ConstantVariable(str)] 2022-11-23T01:37:54.8682484Z [2022-11-23 01:32:44,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNARY_NEGATIVE None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:37:54.8682841Z [2022-11-23 01:32:44,079] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:37:54.8683143Z [2022-11-23 01:32:44,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8683451Z [2022-11-23 01:32:44,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.8683786Z [2022-11-23 01:32:44,080] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.8684038Z [2022-11-23 01:32:44,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.8684263Z [2022-11-23 01:32:44,080] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.8684521Z [2022-11-23 01:32:44,081] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.8684773Z [2022-11-23 01:32:44,088] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.8684967Z [2022-11-23 01:32:44,088] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.8685105Z __compiled_fn_207 .1703 opcode, name, target, args, kwargs 2022-11-23T01:37:54.8685195Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.8685376Z call_function, add, , (ex_0_, inf), {} 2022-11-23T01:37:54.8685559Z call_function, add_1, , (ex_0_, -inf), {} 2022-11-23T01:37:54.8685726Z call_function, mul, , (ex_0_, -inf), {} 2022-11-23T01:37:54.8685837Z output, output, output, ((add, add_1, mul),), {} 2022-11-23T01:37:54.8685843Z 2022-11-23T01:37:54.8686123Z [2022-11-23 01:32:44,089] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8686218Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.8686312Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8686406Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.8686496Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.8686573Z 8 RETURN_VALUE 2022-11-23T01:37:54.8686579Z 2022-11-23T01:37:54.8686627Z 2022-11-23T01:37:54.8686902Z [2022-11-23 01:32:44,089] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8687009Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_207) 2022-11-23T01:37:54.8687100Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8687188Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8687263Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.8687349Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.8687439Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8687539Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8687626Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8687699Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.8687799Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8687888Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:54.8687964Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.8688050Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8688138Z 26 LOAD_CONST 3 (2) 2022-11-23T01:37:54.8688211Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.8688328Z 30 BUILD_TUPLE 3 2022-11-23T01:37:54.8688406Z 32 RETURN_VALUE 2022-11-23T01:37:54.8688411Z 2022-11-23T01:37:54.8688470Z 2022-11-23T01:37:54.8688656Z [2022-11-23 01:32:44,090] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.8688725Z - 2022-11-23T01:37:54.8688834Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.8688898Z { 2022-11-23T01:37:54.8689043Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.8689233Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.8689389Z 'obj_weakref': None 2022-11-23T01:37:54.8689616Z 'guarded_class': 2022-11-23T01:37:54.8689680Z } 2022-11-23T01:37:54.8689729Z 2022-11-23T01:37:54.8689797Z - 2022-11-23T01:37:54.8689923Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.8689987Z { 2022-11-23T01:37:54.8690134Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8690244Z 'code': None, 2022-11-23T01:37:54.8690459Z 'obj_weakref': 2022-11-23T01:37:54.8690703Z 'guarded_class': 2022-11-23T01:37:54.8690767Z } 2022-11-23T01:37:54.8690830Z 2022-11-23T01:37:54.8690900Z - 2022-11-23T01:37:54.8691034Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.8691098Z { 2022-11-23T01:37:54.8691222Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.8691394Z 'code': ['___check_obj_id(model, 140538744485504)'], 2022-11-23T01:37:54.8691513Z 'obj_weakref': None 2022-11-23T01:37:54.8691743Z 'guarded_class': 2022-11-23T01:37:54.8691809Z } 2022-11-23T01:37:54.8691872Z 2022-11-23T01:37:54.8691940Z - 2022-11-23T01:37:54.8692050Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.8692112Z { 2022-11-23T01:37:54.8692248Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.8692465Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.8692584Z 'obj_weakref': None 2022-11-23T01:37:54.8692806Z 'guarded_class': 2022-11-23T01:37:54.8692872Z } 2022-11-23T01:37:54.8692933Z 2022-11-23T01:37:54.8692991Z - 2022-11-23T01:37:54.8693120Z global 'float' BUILTIN_MATCH 2022-11-23T01:37:54.8693183Z { 2022-11-23T01:37:54.8693305Z 'guard_types': None, 2022-11-23T01:37:54.8693413Z 'code': None, 2022-11-23T01:37:54.8693531Z 'obj_weakref': None 2022-11-23T01:37:54.8693645Z 'guarded_class': None 2022-11-23T01:37:54.8693707Z } 2022-11-23T01:37:54.8693768Z 2022-11-23T01:37:54.8694030Z [2022-11-23 01:32:44,096] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 205 2022-11-23T01:37:54.8694407Z [2022-11-23 01:32:45,477] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pv/cpv5balewkeykdmuah3quqrih35bwqteuepynruz62ev2kbjdr32.py 2022-11-23T01:37:54.8694676Z [2022-11-23 01:32:45,478] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 205 2022-11-23T01:37:54.8694684Z 2022-11-23T01:37:54.8694778Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.8694847Z import torch 2022-11-23T01:37:54.8694905Z import random 2022-11-23T01:37:54.8695023Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.8695210Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.8695222Z 2022-11-23T01:37:54.8695390Z aten = torch.ops.aten 2022-11-23T01:37:54.8695533Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.8695626Z async_compile = AsyncCompile() 2022-11-23T01:37:54.8695631Z 2022-11-23T01:37:54.8695635Z 2022-11-23T01:37:54.8695776Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.8695985Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.8696094Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.8696191Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.8696321Z float* __restrict__ out_ptr1, 2022-11-23T01:37:54.8696415Z float* __restrict__ out_ptr2) 2022-11-23T01:37:54.8696475Z { 2022-11-23T01:37:54.8696556Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:37:54.8696616Z { 2022-11-23T01:37:54.8696758Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:54.8696911Z auto tmp1 = at::vec::Vectorized(std::numeric_limits::infinity()); 2022-11-23T01:37:54.8696996Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.8697222Z auto tmp3 = at::vec::Vectorized(-std::numeric_limits::infinity()); 2022-11-23T01:37:54.8697305Z auto tmp4 = tmp0 + tmp3; 2022-11-23T01:37:54.8697386Z auto tmp5 = tmp0 * tmp3; 2022-11-23T01:37:54.8697473Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.8697557Z tmp4.store(out_ptr1 + 8*i0); 2022-11-23T01:37:54.8697627Z tmp5.store(out_ptr2 + 8*i0); 2022-11-23T01:37:54.8697687Z } 2022-11-23T01:37:54.8697777Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.8697855Z for(long i0=8; i0<8; i0+=1) 2022-11-23T01:37:54.8697916Z { 2022-11-23T01:37:54.8697996Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.8698115Z auto tmp1 = std::numeric_limits::infinity(); 2022-11-23T01:37:54.8698184Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.8698408Z auto tmp3 = -std::numeric_limits::infinity(); 2022-11-23T01:37:54.8698489Z auto tmp4 = tmp0 + tmp3; 2022-11-23T01:37:54.8698567Z auto tmp5 = tmp0 * tmp3; 2022-11-23T01:37:54.8698642Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:54.8698714Z out_ptr1[i0] = tmp4; 2022-11-23T01:37:54.8698963Z out_ptr2[i0] = tmp5; 2022-11-23T01:37:54.8699049Z } 2022-11-23T01:37:54.8699114Z } 2022-11-23T01:37:54.8699198Z ''') 2022-11-23T01:37:54.8699204Z 2022-11-23T01:37:54.8699208Z 2022-11-23T01:37:54.8699299Z async_compile.wait(globals()) 2022-11-23T01:37:54.8699370Z del async_compile 2022-11-23T01:37:54.8699378Z 2022-11-23T01:37:54.8699449Z def call(args): 2022-11-23T01:37:54.8699519Z arg0_1, = args 2022-11-23T01:37:54.8699577Z args.clear() 2022-11-23T01:37:54.8699775Z buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8699969Z buf1 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8700163Z buf2 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8700355Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:37:54.8700422Z del arg0_1 2022-11-23T01:37:54.8700505Z return (buf0, buf1, buf2, ) 2022-11-23T01:37:54.8700510Z 2022-11-23T01:37:54.8700514Z 2022-11-23T01:37:54.8700589Z if __name__ == "__main__": 2022-11-23T01:37:54.8700692Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.8700814Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.8701009Z arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8701118Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.8701124Z 2022-11-23T01:37:54.8701191Z ok (1.410s) 2022-11-23T01:37:54.8701585Z test_inplace_activations_cpu (__main__.CpuTests) ... [2022-11-23 01:32:45,486] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.8701865Z [2022-11-23 01:32:45,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.8702088Z [2022-11-23 01:32:45,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.8702348Z [2022-11-23 01:32:45,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.8702623Z [2022-11-23 01:32:45,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.8702995Z [2022-11-23 01:32:45,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.8703327Z [2022-11-23 01:32:45,486] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.8703425Z 3397 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.8703528Z 2 LOAD_METHOD 1 (hardswish_) 2022-11-23T01:37:54.8703622Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:54.8703709Z 6 LOAD_CONST 1 (1) 2022-11-23T01:37:54.8703781Z 8 BINARY_ADD 2022-11-23T01:37:54.8703857Z 10 CALL_METHOD 1 2022-11-23T01:37:54.8703947Z 12 STORE_FAST 1 (a) 2022-11-23T01:37:54.8703953Z 2022-11-23T01:37:54.8704046Z 3398 14 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.8704145Z 16 LOAD_METHOD 2 (hardtanh_) 2022-11-23T01:37:54.8704239Z 18 LOAD_FAST 0 (x) 2022-11-23T01:37:54.8704326Z 20 LOAD_CONST 1 (1) 2022-11-23T01:37:54.8704397Z 22 BINARY_ADD 2022-11-23T01:37:54.8704472Z 24 CALL_METHOD 1 2022-11-23T01:37:54.8704561Z 26 STORE_FAST 2 (b) 2022-11-23T01:37:54.8704567Z 2022-11-23T01:37:54.8704660Z 3399 28 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.8704762Z 30 LOAD_METHOD 3 (leaky_relu_) 2022-11-23T01:37:54.8704849Z 32 LOAD_FAST 0 (x) 2022-11-23T01:37:54.8704937Z 34 LOAD_CONST 1 (1) 2022-11-23T01:37:54.8705010Z 36 BINARY_ADD 2022-11-23T01:37:54.8705098Z 38 CALL_METHOD 1 2022-11-23T01:37:54.8705174Z 40 STORE_FAST 3 (c) 2022-11-23T01:37:54.8705179Z 2022-11-23T01:37:54.8705272Z 3400 42 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.8705366Z 44 LOAD_METHOD 4 (silu_) 2022-11-23T01:37:54.8705453Z 46 LOAD_FAST 0 (x) 2022-11-23T01:37:54.8705539Z 48 LOAD_CONST 1 (1) 2022-11-23T01:37:54.8705610Z 50 BINARY_ADD 2022-11-23T01:37:54.8705698Z 52 CALL_METHOD 1 2022-11-23T01:37:54.8705803Z 54 STORE_FAST 4 (d) 2022-11-23T01:37:54.8705826Z 2022-11-23T01:37:54.8705957Z 3401 56 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.8706109Z 58 LOAD_METHOD 5 (log1p) 2022-11-23T01:37:54.8706221Z 60 LOAD_FAST 0 (x) 2022-11-23T01:37:54.8706362Z 62 LOAD_CONST 1 (1) 2022-11-23T01:37:54.8706459Z 64 BINARY_ADD 2022-11-23T01:37:54.8706549Z 66 CALL_METHOD 1 2022-11-23T01:37:54.8706636Z 68 STORE_FAST 5 (e) 2022-11-23T01:37:54.8706645Z 2022-11-23T01:37:54.8706725Z 3402 70 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.8706828Z 72 LOAD_METHOD 6 (masked_fill_) 2022-11-23T01:37:54.8706913Z 74 LOAD_FAST 0 (x) 2022-11-23T01:37:54.8706998Z 76 LOAD_CONST 1 (1) 2022-11-23T01:37:54.8707113Z 78 BINARY_ADD 2022-11-23T01:37:54.8707208Z 80 LOAD_GLOBAL 7 (torch) 2022-11-23T01:37:54.8707306Z 82 LOAD_ATTR 8 (zeros_like) 2022-11-23T01:37:54.8707380Z 84 LOAD_FAST 0 (x) 2022-11-23T01:37:54.8707471Z 86 LOAD_GLOBAL 7 (torch) 2022-11-23T01:37:54.8707557Z 88 LOAD_ATTR 9 (bool) 2022-11-23T01:37:54.8707725Z 90 LOAD_CONST 2 (('dtype',)) 2022-11-23T01:37:54.8707816Z 92 CALL_FUNCTION_KW 2 2022-11-23T01:37:54.8707894Z 94 LOAD_CONST 3 (99.0) 2022-11-23T01:37:54.8708010Z 96 CALL_METHOD 3 2022-11-23T01:37:54.8708186Z 98 STORE_FAST 6 (f) 2022-11-23T01:37:54.8708193Z 2022-11-23T01:37:54.8708290Z 3403 100 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.8708390Z 102 LOAD_METHOD 6 (masked_fill_) 2022-11-23T01:37:54.8708479Z 104 LOAD_FAST 0 (x) 2022-11-23T01:37:54.8708566Z 106 LOAD_CONST 1 (1) 2022-11-23T01:37:54.8708639Z 108 BINARY_ADD 2022-11-23T01:37:54.8708719Z 110 LOAD_GLOBAL 7 (torch) 2022-11-23T01:37:54.8708813Z 112 LOAD_ATTR 10 (ones_like) 2022-11-23T01:37:54.8708900Z 114 LOAD_FAST 0 (x) 2022-11-23T01:37:54.8708989Z 116 LOAD_GLOBAL 7 (torch) 2022-11-23T01:37:54.8709077Z 118 LOAD_ATTR 9 (bool) 2022-11-23T01:37:54.8709241Z 120 LOAD_CONST 2 (('dtype',)) 2022-11-23T01:37:54.8709334Z 122 CALL_FUNCTION_KW 2 2022-11-23T01:37:54.8709410Z 124 LOAD_CONST 3 (99.0) 2022-11-23T01:37:54.8709496Z 126 CALL_METHOD 3 2022-11-23T01:37:54.8709585Z 128 STORE_FAST 7 (h) 2022-11-23T01:37:54.8709590Z 2022-11-23T01:37:54.8709680Z 3404 130 LOAD_FAST 1 (a) 2022-11-23T01:37:54.8709769Z 132 LOAD_FAST 2 (b) 2022-11-23T01:37:54.8709854Z 134 LOAD_FAST 3 (c) 2022-11-23T01:37:54.8709938Z 136 LOAD_FAST 4 (d) 2022-11-23T01:37:54.8710011Z 138 LOAD_FAST 5 (e) 2022-11-23T01:37:54.8710094Z 140 LOAD_FAST 6 (f) 2022-11-23T01:37:54.8710179Z 142 LOAD_FAST 7 (h) 2022-11-23T01:37:54.8710265Z 144 BUILD_TUPLE 7 2022-11-23T01:37:54.8710346Z 146 RETURN_VALUE 2022-11-23T01:37:54.8710408Z 2022-11-23T01:37:54.8710413Z 2022-11-23T01:37:54.8710690Z [2022-11-23 01:32:45,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3397 2022-11-23T01:37:54.8710918Z [2022-11-23 01:32:45,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.8711226Z [2022-11-23 01:32:45,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardswish_ [TorchVariable()] 2022-11-23T01:37:54.8711494Z [2022-11-23 01:32:45,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.hardswish_)] 2022-11-23T01:37:54.8711787Z [2022-11-23 01:32:45,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.hardswish_), TensorVariable()] 2022-11-23T01:37:54.8712125Z [2022-11-23 01:32:45,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.hardswish_), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8712428Z [2022-11-23 01:32:45,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.hardswish_), TensorVariable()] 2022-11-23T01:37:54.8712675Z [2022-11-23 01:32:45,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()] 2022-11-23T01:37:54.8712984Z [2022-11-23 01:32:45,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3398 2022-11-23T01:37:54.8713209Z [2022-11-23 01:32:45,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.8713530Z [2022-11-23 01:32:45,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR hardtanh_ [TorchVariable()] 2022-11-23T01:37:54.8713797Z [2022-11-23 01:32:45,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.hardtanh_)] 2022-11-23T01:37:54.8714076Z [2022-11-23 01:32:45,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.hardtanh_), TensorVariable()] 2022-11-23T01:37:54.8714445Z [2022-11-23 01:32:45,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.hardtanh_), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8714744Z [2022-11-23 01:32:45,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.hardtanh_), TensorVariable()] 2022-11-23T01:37:54.8714987Z [2022-11-23 01:32:45,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()] 2022-11-23T01:37:54.8715260Z [2022-11-23 01:32:45,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3399 2022-11-23T01:37:54.8715483Z [2022-11-23 01:32:45,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.8715802Z [2022-11-23 01:32:45,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR leaky_relu_ [TorchVariable()] 2022-11-23T01:37:54.8716067Z [2022-11-23 01:32:45,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.leaky_relu_)] 2022-11-23T01:37:54.8716361Z [2022-11-23 01:32:45,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.leaky_relu_), TensorVariable()] 2022-11-23T01:37:54.8716701Z [2022-11-23 01:32:45,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.leaky_relu_), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8716987Z [2022-11-23 01:32:45,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.leaky_relu_), TensorVariable()] 2022-11-23T01:37:54.8717230Z [2022-11-23 01:32:45,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()] 2022-11-23T01:37:54.8717498Z [2022-11-23 01:32:45,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3400 2022-11-23T01:37:54.8717719Z [2022-11-23 01:32:45,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.8718032Z [2022-11-23 01:32:45,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR silu_ [TorchVariable()] 2022-11-23T01:37:54.8718286Z [2022-11-23 01:32:45,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.silu_)] 2022-11-23T01:37:54.8718574Z [2022-11-23 01:32:45,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.silu_), TensorVariable()] 2022-11-23T01:37:54.8718903Z [2022-11-23 01:32:45,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.silu_), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8719192Z [2022-11-23 01:32:45,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.silu_), TensorVariable()] 2022-11-23T01:37:54.8719434Z [2022-11-23 01:32:45,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST d [TensorVariable()] 2022-11-23T01:37:54.8719694Z [2022-11-23 01:32:45,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3401 2022-11-23T01:37:54.8719914Z [2022-11-23 01:32:45,523] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.8720251Z [2022-11-23 01:32:45,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log1p [TorchVariable()] 2022-11-23T01:37:54.8720510Z [2022-11-23 01:32:45,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.log1p)] 2022-11-23T01:37:54.8720797Z [2022-11-23 01:32:45,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.log1p), TensorVariable()] 2022-11-23T01:37:54.8721127Z [2022-11-23 01:32:45,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.log1p), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8721419Z [2022-11-23 01:32:45,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.log1p), TensorVariable()] 2022-11-23T01:37:54.8721698Z [2022-11-23 01:32:45,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [TensorVariable()] 2022-11-23T01:37:54.8721970Z [2022-11-23 01:32:45,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3402 2022-11-23T01:37:54.8722193Z [2022-11-23 01:32:45,530] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.8722499Z [2022-11-23 01:32:45,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill_ [TorchVariable()] 2022-11-23T01:37:54.8722768Z [2022-11-23 01:32:45,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.masked_fill_)] 2022-11-23T01:37:54.8723060Z [2022-11-23 01:32:45,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.masked_fill_), TensorVariable()] 2022-11-23T01:37:54.8723403Z [2022-11-23 01:32:45,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.masked_fill_), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8723709Z [2022-11-23 01:32:45,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill_), TensorVariable()] 2022-11-23T01:37:54.8724176Z [2022-11-23 01:32:45,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros_like [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.8724589Z [2022-11-23 01:32:45,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.8725041Z [2022-11-23 01:32:45,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.8725644Z [2022-11-23 01:32:45,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bool [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.8726144Z [2022-11-23 01:32:45,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(dtype)] 2022-11-23T01:37:54.8726673Z [2022-11-23 01:32:45,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(dtype), ConstantVariable(tuple)] 2022-11-23T01:37:54.8727005Z [2022-11-23 01:32:45,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 99.0 [TorchVariable(aten.masked_fill_), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8727437Z [2022-11-23 01:32:45,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.masked_fill_), TensorVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:37:54.8727682Z [2022-11-23 01:32:45,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST f [TensorVariable()] 2022-11-23T01:37:54.8727953Z [2022-11-23 01:32:45,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3403 2022-11-23T01:37:54.8728161Z [2022-11-23 01:32:45,539] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.8728479Z [2022-11-23 01:32:45,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill_ [TorchVariable()] 2022-11-23T01:37:54.8728791Z [2022-11-23 01:32:45,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.masked_fill_)] 2022-11-23T01:37:54.8729085Z [2022-11-23 01:32:45,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.masked_fill_), TensorVariable()] 2022-11-23T01:37:54.8729426Z [2022-11-23 01:32:45,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.masked_fill_), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8729729Z [2022-11-23 01:32:45,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill_), TensorVariable()] 2022-11-23T01:37:54.8730188Z [2022-11-23 01:32:45,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ones_like [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.8730598Z [2022-11-23 01:32:45,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.8731051Z [2022-11-23 01:32:45,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.8731644Z [2022-11-23 01:32:45,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bool [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.8732141Z [2022-11-23 01:32:45,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(dtype)] 2022-11-23T01:37:54.8732681Z [2022-11-23 01:32:45,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(aten.masked_fill_), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(dtype), ConstantVariable(tuple)] 2022-11-23T01:37:54.8733006Z [2022-11-23 01:32:45,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 99.0 [TorchVariable(aten.masked_fill_), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8733368Z [2022-11-23 01:32:45,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.masked_fill_), TensorVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:37:54.8733599Z [2022-11-23 01:32:45,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST h [TensorVariable()] 2022-11-23T01:37:54.8733869Z [2022-11-23 01:32:45,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3404 2022-11-23T01:37:54.8734082Z [2022-11-23 01:32:45,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:54.8734323Z [2022-11-23 01:32:45,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:54.8734638Z [2022-11-23 01:32:45,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8734938Z [2022-11-23 01:32:45,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8735259Z [2022-11-23 01:32:45,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8735605Z [2022-11-23 01:32:45,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST f [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8735980Z [2022-11-23 01:32:45,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST h [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8736425Z [2022-11-23 01:32:45,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 7 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8736675Z [2022-11-23 01:32:45,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.8737000Z [2022-11-23 01:32:45,549] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.8737249Z [2022-11-23 01:32:45,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.8737485Z [2022-11-23 01:32:45,549] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.8737745Z [2022-11-23 01:32:45,551] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.8737998Z [2022-11-23 01:32:45,564] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.8738189Z [2022-11-23 01:32:45,565] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.8738324Z __compiled_fn_208 .1709 opcode, name, target, args, kwargs 2022-11-23T01:37:54.8738414Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.8738589Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:54.8738698Z call_function, hardswish_, aten.hardswish_, (add,), {} 2022-11-23T01:37:54.8739098Z call_function, add_1, , (ex_0_, 1), {} 2022-11-23T01:37:54.8739221Z call_function, hardtanh_, aten.hardtanh_, (add_1,), {} 2022-11-23T01:37:54.8739399Z call_function, add_2, , (ex_0_, 1), {} 2022-11-23T01:37:54.8739520Z call_function, leaky_relu_, aten.leaky_relu_, (add_2,), {} 2022-11-23T01:37:54.8739697Z call_function, add_3, , (ex_0_, 1), {} 2022-11-23T01:37:54.8739800Z call_function, silu_, aten.silu_, (add_3,), {} 2022-11-23T01:37:54.8739959Z call_function, add_4, , (ex_0_, 1), {} 2022-11-23T01:37:54.8740067Z call_function, log1p, aten.log1p, (add_4,), {} 2022-11-23T01:37:54.8740243Z call_function, add_5, , (ex_0_, 1), {} 2022-11-23T01:37:54.8740520Z call_function, zeros_like, , (ex_0_,), {'dtype': torch.bool} 2022-11-23T01:37:54.8740661Z call_function, masked_fill_, aten.masked_fill_, (add_5, zeros_like, 99.0), {} 2022-11-23T01:37:54.8740837Z call_function, add_6, , (ex_0_, 1), {} 2022-11-23T01:37:54.8741108Z call_function, ones_like, , (ex_0_,), {'dtype': torch.bool} 2022-11-23T01:37:54.8741249Z call_function, masked_fill__1, aten.masked_fill_, (add_6, ones_like, 99.0), {} 2022-11-23T01:37:54.8741413Z output, output, output, ((hardswish_, hardtanh_, leaky_relu_, silu_, log1p, masked_fill_, masked_fill__1),), {} 2022-11-23T01:37:54.8741431Z 2022-11-23T01:37:54.8741700Z [2022-11-23 01:32:45,565] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8741852Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.8741949Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8742042Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.8742130Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.8742207Z 8 RETURN_VALUE 2022-11-23T01:37:54.8742213Z 2022-11-23T01:37:54.8742273Z 2022-11-23T01:37:54.8742540Z [2022-11-23 01:32:45,565] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8742649Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_208) 2022-11-23T01:37:54.8742786Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8742876Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8742952Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.8743040Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.8743146Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8743244Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8743320Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8743395Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.8743495Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8743582Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:54.8743658Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.8743754Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8743840Z 26 LOAD_CONST 3 (2) 2022-11-23T01:37:54.8743905Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.8744004Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8744090Z 32 LOAD_CONST 4 (3) 2022-11-23T01:37:54.8744163Z 34 BINARY_SUBSCR 2022-11-23T01:37:54.8744260Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8744348Z 38 LOAD_CONST 5 (4) 2022-11-23T01:37:54.8744421Z 40 BINARY_SUBSCR 2022-11-23T01:37:54.8744507Z 42 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8744592Z 44 LOAD_CONST 6 (5) 2022-11-23T01:37:54.8744670Z 46 BINARY_SUBSCR 2022-11-23T01:37:54.8744767Z 48 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8744853Z 50 LOAD_CONST 7 (6) 2022-11-23T01:37:54.8744929Z 52 BINARY_SUBSCR 2022-11-23T01:37:54.8745016Z 54 BUILD_TUPLE 7 2022-11-23T01:37:54.8745079Z 56 RETURN_VALUE 2022-11-23T01:37:54.8745083Z 2022-11-23T01:37:54.8745142Z 2022-11-23T01:37:54.8745329Z [2022-11-23 01:32:45,566] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.8745400Z - 2022-11-23T01:37:54.8745521Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.8745584Z { 2022-11-23T01:37:54.8745731Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.8745910Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.8746034Z 'obj_weakref': None 2022-11-23T01:37:54.8746259Z 'guarded_class': 2022-11-23T01:37:54.8746324Z } 2022-11-23T01:37:54.8746385Z 2022-11-23T01:37:54.8746455Z - 2022-11-23T01:37:54.8746582Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.8746632Z { 2022-11-23T01:37:54.8746776Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8746887Z 'code': None, 2022-11-23T01:37:54.8747105Z 'obj_weakref': 2022-11-23T01:37:54.8747361Z 'guarded_class': 2022-11-23T01:37:54.8747423Z } 2022-11-23T01:37:54.8747512Z 2022-11-23T01:37:54.8747572Z - 2022-11-23T01:37:54.8747703Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.8747765Z { 2022-11-23T01:37:54.8747901Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.8748073Z 'code': ['___check_obj_id(model, 140538740213808)'], 2022-11-23T01:37:54.8748290Z 'obj_weakref': None 2022-11-23T01:37:54.8748526Z 'guarded_class': 2022-11-23T01:37:54.8748576Z } 2022-11-23T01:37:54.8748637Z 2022-11-23T01:37:54.8748746Z - 2022-11-23T01:37:54.8748870Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.8748933Z { 2022-11-23T01:37:54.8749076Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.8749296Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.8749407Z 'obj_weakref': None 2022-11-23T01:37:54.8749630Z 'guarded_class': 2022-11-23T01:37:54.8749695Z } 2022-11-23T01:37:54.8749757Z 2022-11-23T01:37:54.8749827Z - 2022-11-23T01:37:54.8749960Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.8750023Z { 2022-11-23T01:37:54.8750133Z 'guard_types': None, 2022-11-23T01:37:54.8750241Z 'code': None, 2022-11-23T01:37:54.8750361Z 'obj_weakref': None 2022-11-23T01:37:54.8750485Z 'guarded_class': None 2022-11-23T01:37:54.8750551Z } 2022-11-23T01:37:54.8750611Z 2022-11-23T01:37:54.8750679Z - 2022-11-23T01:37:54.8750800Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.8750862Z { 2022-11-23T01:37:54.8750985Z 'guard_types': None, 2022-11-23T01:37:54.8751092Z 'code': None, 2022-11-23T01:37:54.8751215Z 'obj_weakref': None 2022-11-23T01:37:54.8751337Z 'guarded_class': None 2022-11-23T01:37:54.8751400Z } 2022-11-23T01:37:54.8751448Z 2022-11-23T01:37:54.8751515Z - 2022-11-23T01:37:54.8751661Z global 'torch.bool' CONSTANT_MATCH 2022-11-23T01:37:54.8751722Z { 2022-11-23T01:37:54.8751865Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:54.8752029Z 'code': ["str(torch.bool) == 'torch.bool'"], 2022-11-23T01:37:54.8752137Z 'obj_weakref': None 2022-11-23T01:37:54.8752362Z 'guarded_class': 2022-11-23T01:37:54.8752430Z } 2022-11-23T01:37:54.8752491Z 2022-11-23T01:37:54.8752753Z [2022-11-23 01:32:45,605] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 206 2022-11-23T01:37:54.8753128Z [2022-11-23 01:32:47,034] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qy/cqyex3ogxtqc4gedg45ihq444jzw3esnq3oeaztcengghv5wabq4.py 2022-11-23T01:37:54.8753394Z [2022-11-23 01:32:47,034] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 206 2022-11-23T01:37:54.8753400Z 2022-11-23T01:37:54.8753492Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.8753548Z import torch 2022-11-23T01:37:54.8753615Z import random 2022-11-23T01:37:54.8753729Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.8753850Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.8753855Z 2022-11-23T01:37:54.8753934Z aten = torch.ops.aten 2022-11-23T01:37:54.8754066Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.8754155Z async_compile = AsyncCompile() 2022-11-23T01:37:54.8754160Z 2022-11-23T01:37:54.8754165Z 2022-11-23T01:37:54.8754300Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.8754523Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.8754646Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.8754743Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.8754839Z float* __restrict__ out_ptr1, 2022-11-23T01:37:54.8754931Z float* __restrict__ out_ptr2, 2022-11-23T01:37:54.8755023Z float* __restrict__ out_ptr3, 2022-11-23T01:37:54.8755113Z float* __restrict__ out_ptr4, 2022-11-23T01:37:54.8755202Z float* __restrict__ out_ptr5, 2022-11-23T01:37:54.8755310Z float* __restrict__ out_ptr6) 2022-11-23T01:37:54.8755370Z { 2022-11-23T01:37:54.8755446Z #pragma GCC ivdep 2022-11-23T01:37:54.8755527Z for(long i0=0; i0<64; i0+=1) 2022-11-23T01:37:54.8755587Z { 2022-11-23T01:37:54.8755648Z { 2022-11-23T01:37:54.8755699Z { 2022-11-23T01:37:54.8755784Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.8755884Z auto tmp1 = static_cast(1); 2022-11-23T01:37:54.8755970Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:54.8756069Z auto tmp3 = static_cast(3); 2022-11-23T01:37:54.8756154Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:54.8756252Z auto tmp5 = static_cast(0.0); 2022-11-23T01:37:54.8756368Z auto tmp6 = std::max(tmp4, tmp5); 2022-11-23T01:37:54.8756456Z auto tmp7 = static_cast(6.0); 2022-11-23T01:37:54.8756556Z auto tmp8 = std::min(tmp6, tmp7); 2022-11-23T01:37:54.8756644Z auto tmp9 = tmp2 * tmp8; 2022-11-23T01:37:54.8756743Z auto tmp10 = static_cast(6); 2022-11-23T01:37:54.8756831Z auto tmp11 = tmp9 / tmp10; 2022-11-23T01:37:54.8756992Z auto tmp12 = static_cast(-1.0); 2022-11-23T01:37:54.8757094Z auto tmp13 = std::max(tmp2, tmp12); 2022-11-23T01:37:54.8757185Z auto tmp14 = static_cast(1.0); 2022-11-23T01:37:54.8757285Z auto tmp15 = std::min(tmp13, tmp14); 2022-11-23T01:37:54.8757382Z auto tmp16 = static_cast(0); 2022-11-23T01:37:54.8757469Z auto tmp17 = tmp2 > tmp16; 2022-11-23T01:37:54.8757570Z auto tmp18 = static_cast(0.01); 2022-11-23T01:37:54.8757656Z auto tmp19 = tmp2 * tmp18; 2022-11-23T01:37:54.8757751Z auto tmp20 = tmp17 ? tmp2 : tmp19; 2022-11-23T01:37:54.8757883Z auto tmp21 = std::exp(-tmp2); 2022-11-23T01:37:54.8757975Z auto tmp22 = 1 / (1 + tmp21); 2022-11-23T01:37:54.8758064Z auto tmp23 = tmp2 * tmp22; 2022-11-23T01:37:54.8758163Z auto tmp24 = static_cast(0); 2022-11-23T01:37:54.8758266Z auto tmp25 = static_cast(99.0); 2022-11-23T01:37:54.8758361Z auto tmp26 = tmp24 ? tmp25 : tmp2; 2022-11-23T01:37:54.8758458Z auto tmp27 = static_cast(1); 2022-11-23T01:37:54.8758549Z auto tmp28 = tmp27 ? tmp25 : tmp2; 2022-11-23T01:37:54.8758624Z auto tmp29 = tmp2 + tmp1; 2022-11-23T01:37:54.8758721Z auto tmp30 = std::log(tmp29); 2022-11-23T01:37:54.8758802Z out_ptr0[i0] = tmp11; 2022-11-23T01:37:54.8758879Z out_ptr1[i0] = tmp15; 2022-11-23T01:37:54.8758956Z out_ptr2[i0] = tmp20; 2022-11-23T01:37:54.8759032Z out_ptr3[i0] = tmp23; 2022-11-23T01:37:54.8759108Z out_ptr4[i0] = tmp26; 2022-11-23T01:37:54.8759175Z out_ptr5[i0] = tmp28; 2022-11-23T01:37:54.8759250Z out_ptr6[i0] = tmp30; 2022-11-23T01:37:54.8759311Z } 2022-11-23T01:37:54.8759371Z } 2022-11-23T01:37:54.8759431Z } 2022-11-23T01:37:54.8759490Z } 2022-11-23T01:37:54.8759556Z ''') 2022-11-23T01:37:54.8759573Z 2022-11-23T01:37:54.8759578Z 2022-11-23T01:37:54.8759687Z async_compile.wait(globals()) 2022-11-23T01:37:54.8759761Z del async_compile 2022-11-23T01:37:54.8759766Z 2022-11-23T01:37:54.8759837Z def call(args): 2022-11-23T01:37:54.8759903Z arg0_1, = args 2022-11-23T01:37:54.8759972Z args.clear() 2022-11-23T01:37:54.8760170Z buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8760364Z buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8760542Z buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8760730Z buf3 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8760952Z buf4 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8761136Z buf5 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8761324Z buf6 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8761609Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr())) 2022-11-23T01:37:54.8761680Z del arg0_1 2022-11-23T01:37:54.8761793Z return (buf0, buf1, buf2, buf3, buf6, buf4, buf5, ) 2022-11-23T01:37:54.8761798Z 2022-11-23T01:37:54.8761802Z 2022-11-23T01:37:54.8761878Z if __name__ == "__main__": 2022-11-23T01:37:54.8761981Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.8762106Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.8762308Z arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8762417Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.8762422Z 2022-11-23T01:37:54.8762491Z ok (1.557s) 2022-11-23T01:37:54.8762810Z test_inplace_add_cpu (__main__.CpuTests) ... [2022-11-23 01:32:47,043] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:37:54.8763088Z [2022-11-23 01:32:47,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3174 2022-11-23T01:37:54.8763302Z [2022-11-23 01:32:47,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.8763537Z [2022-11-23 01:32:47,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add_ [TensorVariable()] 2022-11-23T01:37:54.8763820Z [2022-11-23 01:32:47,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add_)] 2022-11-23T01:37:54.8764134Z [2022-11-23 01:32:47,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add_), TensorVariable()] 2022-11-23T01:37:54.8764389Z [2022-11-23 01:32:47,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.8764630Z [2022-11-23 01:32:47,044] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:37:54.8764879Z [2022-11-23 01:32:47,045] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:37:54.8765179Z [2022-11-23 01:32:47,048] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation 2022-11-23T01:37:54.8765445Z [2022-11-23 01:32:47,048] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager 2022-11-23T01:37:54.8765689Z [2022-11-23 01:32:47,048] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:37:54.8765868Z [2022-11-23 01:32:47,048] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.8766009Z __compiled_fn_209 .1712 opcode, name, target, args, kwargs 2022-11-23T01:37:54.8766095Z placeholder, x, x, (), {} 2022-11-23T01:37:54.8766176Z placeholder, y, y, (), {} 2022-11-23T01:37:54.8766265Z call_method, add_, add_, (x, y), {} 2022-11-23T01:37:54.8766391Z output, output, output, ((add_,),), {} 2022-11-23T01:37:54.8766397Z 2022-11-23T01:37:54.8766679Z [2022-11-23 01:32:47,049] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 3172 2022-11-23T01:37:54.8766779Z 3174 0 LOAD_FAST 0 (x) 2022-11-23T01:37:54.8766861Z 2 LOAD_METHOD 0 (add_) 2022-11-23T01:37:54.8766951Z 4 LOAD_FAST 1 (y) 2022-11-23T01:37:54.8767044Z 6 CALL_METHOD 1 2022-11-23T01:37:54.8767121Z 8 RETURN_VALUE 2022-11-23T01:37:54.8767126Z 2022-11-23T01:37:54.8767186Z 2022-11-23T01:37:54.8767501Z [2022-11-23 01:32:47,049] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 3172 2022-11-23T01:37:54.8767611Z 3172 0 LOAD_GLOBAL 1 (__compiled_fn_209) 2022-11-23T01:37:54.8767703Z 2 LOAD_FAST 0 (x) 2022-11-23T01:37:54.8767779Z 4 LOAD_FAST 1 (y) 2022-11-23T01:37:54.8767872Z 6 CALL_FUNCTION 2 2022-11-23T01:37:54.8767965Z 8 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.8768043Z 10 RETURN_VALUE 2022-11-23T01:37:54.8768047Z 2022-11-23T01:37:54.8768107Z 2022-11-23T01:37:54.8768292Z [2022-11-23 01:32:47,049] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.8768365Z - 2022-11-23T01:37:54.8768475Z local 'x' TENSOR_MATCH 2022-11-23T01:37:54.8768544Z { 2022-11-23T01:37:54.8768689Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8768801Z 'code': None, 2022-11-23T01:37:54.8769024Z 'obj_weakref': 2022-11-23T01:37:54.8769283Z 'guarded_class': 2022-11-23T01:37:54.8769350Z } 2022-11-23T01:37:54.8769401Z 2022-11-23T01:37:54.8769472Z - 2022-11-23T01:37:54.8769595Z local 'y' TENSOR_MATCH 2022-11-23T01:37:54.8769661Z { 2022-11-23T01:37:54.8769801Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8769911Z 'code': None, 2022-11-23T01:37:54.8770125Z 'obj_weakref': 2022-11-23T01:37:54.8770363Z 'guarded_class': 2022-11-23T01:37:54.8770427Z } 2022-11-23T01:37:54.8770488Z 2022-11-23T01:37:54.8770552Z ok (0.012s) 2022-11-23T01:37:54.8770891Z test_inplace_mixed_dtype_ops_cpu (__main__.CpuTests) ... [2022-11-23 01:32:47,054] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:37:54.8771163Z [2022-11-23 01:32:47,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3188 2022-11-23T01:37:54.8771378Z [2022-11-23 01:32:47,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.8771621Z [2022-11-23 01:32:47,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:37:54.8771882Z [2022-11-23 01:32:47,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8772191Z [2022-11-23 01:32:47,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), float)] 2022-11-23T01:37:54.8772463Z [2022-11-23 01:32:47,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8772705Z [2022-11-23 01:32:47,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST z [TensorVariable()] 2022-11-23T01:37:54.8772972Z [2022-11-23 01:32:47,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3189 2022-11-23T01:37:54.8773210Z [2022-11-23 01:32:47,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST z [] 2022-11-23T01:37:54.8773458Z [2022-11-23 01:32:47,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add_ [TensorVariable()] 2022-11-23T01:37:54.8773731Z [2022-11-23 01:32:47,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add_)] 2022-11-23T01:37:54.8774040Z [2022-11-23 01:32:47,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add_), TensorVariable()] 2022-11-23T01:37:54.8774282Z [2022-11-23 01:32:47,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST w [TensorVariable()] 2022-11-23T01:37:54.8774588Z [2022-11-23 01:32:47,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3190 2022-11-23T01:37:54.8774796Z [2022-11-23 01:32:47,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST w [] 2022-11-23T01:37:54.8775041Z [2022-11-23 01:32:47,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul_ [TensorVariable()] 2022-11-23T01:37:54.8775317Z [2022-11-23 01:32:47,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), mul_)] 2022-11-23T01:37:54.8775625Z [2022-11-23 01:32:47,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), mul_), TensorVariable()] 2022-11-23T01:37:54.8775872Z [2022-11-23 01:32:47,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.8776106Z [2022-11-23 01:32:47,059] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:37:54.8776351Z [2022-11-23 01:32:47,060] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:37:54.8776593Z [2022-11-23 01:32:47,064] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:37:54.8776771Z [2022-11-23 01:32:47,065] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.8776907Z __compiled_fn_210 .1718 opcode, name, target, args, kwargs 2022-11-23T01:37:54.8776991Z placeholder, x, x, (), {} 2022-11-23T01:37:54.8777070Z placeholder, y, y, (), {} 2022-11-23T01:37:54.8777162Z call_method, float_1, float, (y,), {} 2022-11-23T01:37:54.8777343Z call_function, add, , (x, float_1), {} 2022-11-23T01:37:54.8777432Z call_method, add_, add_, (add, y), {} 2022-11-23T01:37:54.8777508Z call_method, mul_, mul_, (add_, y), {} 2022-11-23T01:37:54.8777601Z output, output, output, ((mul_,),), {} 2022-11-23T01:37:54.8777606Z 2022-11-23T01:37:54.8777885Z [2022-11-23 01:32:47,065] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 3186 2022-11-23T01:37:54.8777980Z 3188 0 LOAD_FAST 0 (x) 2022-11-23T01:37:54.8778068Z 2 LOAD_FAST 1 (y) 2022-11-23T01:37:54.8778161Z 4 LOAD_METHOD 0 (float) 2022-11-23T01:37:54.8778252Z 6 CALL_METHOD 0 2022-11-23T01:37:54.8778324Z 8 BINARY_ADD 2022-11-23T01:37:54.8778401Z 10 STORE_FAST 2 (z) 2022-11-23T01:37:54.8778407Z 2022-11-23T01:37:54.8778494Z 3189 12 LOAD_FAST 2 (z) 2022-11-23T01:37:54.8778585Z 14 LOAD_METHOD 1 (add_) 2022-11-23T01:37:54.8778675Z 16 LOAD_FAST 1 (y) 2022-11-23T01:37:54.8778896Z 18 CALL_METHOD 1 2022-11-23T01:37:54.8779042Z 20 STORE_FAST 3 (w) 2022-11-23T01:37:54.8779051Z 2022-11-23T01:37:54.8779166Z 3190 22 LOAD_FAST 3 (w) 2022-11-23T01:37:54.8779262Z 24 LOAD_METHOD 2 (mul_) 2022-11-23T01:37:54.8779334Z 26 LOAD_FAST 1 (y) 2022-11-23T01:37:54.8779420Z 28 CALL_METHOD 1 2022-11-23T01:37:54.8779496Z 30 RETURN_VALUE 2022-11-23T01:37:54.8779501Z 2022-11-23T01:37:54.8779562Z 2022-11-23T01:37:54.8779905Z [2022-11-23 01:32:47,065] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 3186 2022-11-23T01:37:54.8780017Z 3186 0 LOAD_GLOBAL 3 (__compiled_fn_210) 2022-11-23T01:37:54.8780103Z 2 LOAD_FAST 0 (x) 2022-11-23T01:37:54.8780177Z 4 LOAD_FAST 1 (y) 2022-11-23T01:37:54.8780265Z 6 CALL_FUNCTION 2 2022-11-23T01:37:54.8780356Z 8 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.8780432Z 10 RETURN_VALUE 2022-11-23T01:37:54.8780474Z 2022-11-23T01:37:54.8780536Z 2022-11-23T01:37:54.8780723Z [2022-11-23 01:32:47,065] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.8780794Z - 2022-11-23T01:37:54.8780917Z local 'x' TENSOR_MATCH 2022-11-23T01:37:54.8780971Z { 2022-11-23T01:37:54.8781115Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8781229Z 'code': None, 2022-11-23T01:37:54.8781448Z 'obj_weakref': 2022-11-23T01:37:54.8781710Z 'guarded_class': 2022-11-23T01:37:54.8781775Z } 2022-11-23T01:37:54.8781836Z 2022-11-23T01:37:54.8781893Z - 2022-11-23T01:37:54.8782015Z local 'y' TENSOR_MATCH 2022-11-23T01:37:54.8782078Z { 2022-11-23T01:37:54.8782219Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8782328Z 'code': None, 2022-11-23T01:37:54.8782543Z 'obj_weakref': 2022-11-23T01:37:54.8782794Z 'guarded_class': 2022-11-23T01:37:54.8782847Z } 2022-11-23T01:37:54.8782909Z 2022-11-23T01:37:54.8783175Z [2022-11-23 01:32:47,074] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 207 2022-11-23T01:37:54.8783555Z [2022-11-23 01:32:48,448] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yw/cywi5dfaagfbsmgx5vznu3qsekohtue6mfyrepb2ct7sg6axb6yz.py 2022-11-23T01:37:54.8783823Z [2022-11-23 01:32:48,449] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 207 2022-11-23T01:37:54.8783829Z 2022-11-23T01:37:54.8783924Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.8783991Z import torch 2022-11-23T01:37:54.8784058Z import random 2022-11-23T01:37:54.8784164Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.8784283Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.8784288Z 2022-11-23T01:37:54.8784364Z aten = torch.ops.aten 2022-11-23T01:37:54.8784496Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.8784588Z async_compile = AsyncCompile() 2022-11-23T01:37:54.8784595Z 2022-11-23T01:37:54.8784599Z 2022-11-23T01:37:54.8784733Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.8784940Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.8785058Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:37:54.8785151Z const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.8785257Z const double* __restrict__ in_ptr1) 2022-11-23T01:37:54.8785318Z { 2022-11-23T01:37:54.8785393Z #pragma GCC ivdep 2022-11-23T01:37:54.8785474Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:37:54.8785537Z { 2022-11-23T01:37:54.8785599Z { 2022-11-23T01:37:54.8785649Z { 2022-11-23T01:37:54.8785734Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.8785819Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:54.8785924Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:37:54.8786048Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:37:54.8786156Z auto tmp4 = static_cast(tmp3); 2022-11-23T01:37:54.8786238Z auto tmp5 = tmp4 + tmp1; 2022-11-23T01:37:54.8786330Z auto tmp6 = static_cast(tmp5); 2022-11-23T01:37:54.8786432Z auto tmp7 = static_cast(tmp6); 2022-11-23T01:37:54.8786517Z auto tmp8 = tmp7 * tmp1; 2022-11-23T01:37:54.8786618Z auto tmp9 = static_cast(tmp8); 2022-11-23T01:37:54.8786702Z in_out_ptr0[i0] = tmp9; 2022-11-23T01:37:54.8786764Z } 2022-11-23T01:37:54.8786853Z } 2022-11-23T01:37:54.8786902Z } 2022-11-23T01:37:54.8786959Z } 2022-11-23T01:37:54.8787039Z ''') 2022-11-23T01:37:54.8787045Z 2022-11-23T01:37:54.8787049Z 2022-11-23T01:37:54.8787137Z async_compile.wait(globals()) 2022-11-23T01:37:54.8787208Z del async_compile 2022-11-23T01:37:54.8787213Z 2022-11-23T01:37:54.8787282Z def call(args): 2022-11-23T01:37:54.8787362Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.8787420Z args.clear() 2022-11-23T01:37:54.8787619Z buf0 = empty_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8787708Z buf1 = buf0; del buf0 # reuse 2022-11-23T01:37:54.8787867Z kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr())) 2022-11-23T01:37:54.8787935Z del arg0_1 2022-11-23T01:37:54.8788001Z del arg1_1 2022-11-23T01:37:54.8788070Z return (buf1, ) 2022-11-23T01:37:54.8788074Z 2022-11-23T01:37:54.8788078Z 2022-11-23T01:37:54.8788207Z if __name__ == "__main__": 2022-11-23T01:37:54.8788329Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.8788450Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.8788656Z arg0_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8788857Z arg1_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:37:54.8788976Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.8788981Z 2022-11-23T01:37:54.8789049Z ok (1.401s) 2022-11-23T01:37:54.8789369Z test_input_mutation1_cpu (__main__.CpuTests) ... [2022-11-23 01:32:48,455] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:37:54.8789646Z [2022-11-23 01:32:48,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3216 2022-11-23T01:37:54.8789847Z [2022-11-23 01:32:48,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:54.8790089Z [2022-11-23 01:32:48,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:37:54.8790378Z [2022-11-23 01:32:48,456] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8790620Z [2022-11-23 01:32:48,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()] 2022-11-23T01:37:54.8790895Z [2022-11-23 01:32:48,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3217 2022-11-23T01:37:54.8791109Z [2022-11-23 01:32:48,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:54.8791355Z [2022-11-23 01:32:48,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR copy_ [TensorVariable()] 2022-11-23T01:37:54.8791630Z [2022-11-23 01:32:48,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [GetAttrVariable(TensorVariable(), copy_)] 2022-11-23T01:37:54.8791945Z [2022-11-23 01:32:48,457] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), copy_), TensorVariable()] 2022-11-23T01:37:54.8792178Z [2022-11-23 01:32:48,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()] 2022-11-23T01:37:54.8792442Z [2022-11-23 01:32:48,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3218 2022-11-23T01:37:54.8792689Z [2022-11-23 01:32:48,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:54.8792934Z [2022-11-23 01:32:48,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:37:54.8793216Z [2022-11-23 01:32:48,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8793451Z [2022-11-23 01:32:48,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()] 2022-11-23T01:37:54.8793717Z [2022-11-23 01:32:48,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3219 2022-11-23T01:37:54.8793959Z [2022-11-23 01:32:48,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:54.8794198Z [2022-11-23 01:32:48,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:54.8794473Z [2022-11-23 01:32:48,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8794712Z [2022-11-23 01:32:48,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable()] 2022-11-23T01:37:54.8794999Z [2022-11-23 01:32:48,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8795246Z [2022-11-23 01:32:48,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.8795480Z [2022-11-23 01:32:48,461] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:37:54.8795727Z [2022-11-23 01:32:48,462] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:37:54.8796024Z [2022-11-23 01:32:48,466] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation 2022-11-23T01:37:54.8796293Z [2022-11-23 01:32:48,466] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager 2022-11-23T01:37:54.8796533Z [2022-11-23 01:32:48,466] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:37:54.8796713Z [2022-11-23 01:32:48,466] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.8796847Z __compiled_fn_211 .1721 opcode, name, target, args, kwargs 2022-11-23T01:37:54.8796930Z placeholder, a, a, (), {} 2022-11-23T01:37:54.8797098Z call_function, add, , (a, 1), {} 2022-11-23T01:37:54.8797193Z call_method, copy_, copy_, (a, add), {} 2022-11-23T01:37:54.8797363Z call_function, add_1, , (a, 2), {} 2022-11-23T01:37:54.8797534Z call_function, mul, , (a, add), {} 2022-11-23T01:37:54.8797727Z call_function, truediv, , (mul, add_1), {} 2022-11-23T01:37:54.8797816Z output, output, output, ((truediv,),), {} 2022-11-23T01:37:54.8797821Z 2022-11-23T01:37:54.8798103Z [2022-11-23 01:32:48,467] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 3215 2022-11-23T01:37:54.8798194Z 3216 0 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8798284Z 2 LOAD_CONST 1 (1) 2022-11-23T01:37:54.8798357Z 4 BINARY_ADD 2022-11-23T01:37:54.8798445Z 6 STORE_FAST 1 (b) 2022-11-23T01:37:54.8798451Z 2022-11-23T01:37:54.8798538Z 3217 8 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8798634Z 10 LOAD_METHOD 0 (copy_) 2022-11-23T01:37:54.8798709Z 12 LOAD_FAST 1 (b) 2022-11-23T01:37:54.8798800Z 14 CALL_METHOD 1 2022-11-23T01:37:54.8798872Z 16 POP_TOP 2022-11-23T01:37:54.8798877Z 2022-11-23T01:37:54.8798965Z 3218 18 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8799051Z 20 LOAD_CONST 2 (2) 2022-11-23T01:37:54.8799124Z 22 BINARY_ADD 2022-11-23T01:37:54.8799243Z 24 STORE_FAST 2 (c) 2022-11-23T01:37:54.8799248Z 2022-11-23T01:37:54.8799323Z 3219 26 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8799409Z 28 LOAD_FAST 1 (b) 2022-11-23T01:37:54.8799490Z 30 BINARY_MULTIPLY 2022-11-23T01:37:54.8799574Z 32 LOAD_FAST 2 (c) 2022-11-23T01:37:54.8799655Z 34 BINARY_TRUE_DIVIDE 2022-11-23T01:37:54.8799729Z 36 RETURN_VALUE 2022-11-23T01:37:54.8799734Z 2022-11-23T01:37:54.8799793Z 2022-11-23T01:37:54.8800073Z [2022-11-23 01:32:48,467] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 3215 2022-11-23T01:37:54.8800208Z 3215 0 LOAD_GLOBAL 1 (__compiled_fn_211) 2022-11-23T01:37:54.8800295Z 2 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8800383Z 4 CALL_FUNCTION 1 2022-11-23T01:37:54.8800480Z 6 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.8800556Z 8 RETURN_VALUE 2022-11-23T01:37:54.8800561Z 2022-11-23T01:37:54.8800620Z 2022-11-23T01:37:54.8800805Z [2022-11-23 01:32:48,467] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.8800865Z - 2022-11-23T01:37:54.8800987Z local 'a' TENSOR_MATCH 2022-11-23T01:37:54.8801054Z { 2022-11-23T01:37:54.8801198Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8801307Z 'code': None, 2022-11-23T01:37:54.8801523Z 'obj_weakref': 2022-11-23T01:37:54.8801785Z 'guarded_class': 2022-11-23T01:37:54.8801838Z } 2022-11-23T01:37:54.8801900Z 2022-11-23T01:37:54.8801966Z ok (0.017s) 2022-11-23T01:37:54.8802287Z test_input_mutation2_cpu (__main__.CpuTests) ... [2022-11-23 01:32:48,471] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:37:54.8802559Z [2022-11-23 01:32:48,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3239 2022-11-23T01:37:54.8802772Z [2022-11-23 01:32:48,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:54.8803015Z [2022-11-23 01:32:48,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:37:54.8803299Z [2022-11-23 01:32:48,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8803538Z [2022-11-23 01:32:48,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()] 2022-11-23T01:37:54.8803793Z [2022-11-23 01:32:48,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3240 2022-11-23T01:37:54.8804000Z [2022-11-23 01:32:48,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:54.8804246Z [2022-11-23 01:32:48,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:37:54.8804525Z [2022-11-23 01:32:48,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:37:54.8804843Z [2022-11-23 01:32:48,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ConstantVariable(int)] 2022-11-23T01:37:54.8805089Z [2022-11-23 01:32:48,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR copy_ [TensorVariable()] 2022-11-23T01:37:54.8805379Z [2022-11-23 01:32:48,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [GetAttrVariable(TensorVariable(), copy_)] 2022-11-23T01:37:54.8805815Z [2022-11-23 01:32:48,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [GetAttrVariable(TensorVariable(), copy_), TorchVariable()] 2022-11-23T01:37:54.8806240Z [2022-11-23 01:32:48,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 66.0 [GetAttrVariable(TensorVariable(), copy_), TorchVariable()] 2022-11-23T01:37:54.8806670Z [2022-11-23 01:32:48,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [GetAttrVariable(TensorVariable(), copy_), TorchVariable(), ConstantVariable(float)] 2022-11-23T01:37:54.8807084Z [2022-11-23 01:32:48,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [GetAttrVariable(TensorVariable(), copy_), TorchVariable(), ListVariable()] 2022-11-23T01:37:54.8807572Z [2022-11-23 01:32:48,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [GetAttrVariable(TensorVariable(), copy_), TorchVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:37:54.8808023Z [2022-11-23 01:32:48,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [GetAttrVariable(TensorVariable(), copy_), TorchVariable(), ListVariable(), TorchVariable(cpu)] 2022-11-23T01:37:54.8808534Z [2022-11-23 01:32:48,474] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [GetAttrVariable(TensorVariable(), copy_), TorchVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)] 2022-11-23T01:37:54.8808850Z [2022-11-23 01:32:48,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), copy_), TensorVariable()] 2022-11-23T01:37:54.8809097Z [2022-11-23 01:32:48,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()] 2022-11-23T01:37:54.8809368Z [2022-11-23 01:32:48,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3241 2022-11-23T01:37:54.8809587Z [2022-11-23 01:32:48,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:54.8809830Z [2022-11-23 01:32:48,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:37:54.8810114Z [2022-11-23 01:32:48,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8810355Z [2022-11-23 01:32:48,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()] 2022-11-23T01:37:54.8810625Z [2022-11-23 01:32:48,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3242 2022-11-23T01:37:54.8810827Z [2022-11-23 01:32:48,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [] 2022-11-23T01:37:54.8811075Z [2022-11-23 01:32:48,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable()] 2022-11-23T01:37:54.8811348Z [2022-11-23 01:32:48,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8811596Z [2022-11-23 01:32:48,477] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.8811833Z [2022-11-23 01:32:48,477] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:37:54.8812077Z [2022-11-23 01:32:48,478] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:37:54.8812379Z [2022-11-23 01:32:48,481] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation 2022-11-23T01:37:54.8812650Z [2022-11-23 01:32:48,481] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager 2022-11-23T01:37:54.8812892Z [2022-11-23 01:32:48,481] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:37:54.8813086Z [2022-11-23 01:32:48,481] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.8813239Z __compiled_fn_212 .1724 opcode, name, target, args, kwargs 2022-11-23T01:37:54.8813326Z placeholder, a, a, (), {} 2022-11-23T01:37:54.8813495Z call_function, add, , (a, 1), {} 2022-11-23T01:37:54.8813587Z call_method, view, view, (a, 64), {} 2022-11-23T01:37:54.8813863Z call_function, tensor, , ([66.0],), {'device': device(type='cpu')} 2022-11-23T01:37:54.8813970Z call_method, copy_, copy_, (view, tensor), {} 2022-11-23T01:37:54.8814141Z call_function, add_1, , (a, 2), {} 2022-11-23T01:37:54.8814264Z output, output, output, ((add, add_1),), {} 2022-11-23T01:37:54.8814283Z 2022-11-23T01:37:54.8814553Z [2022-11-23 01:32:48,482] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 3238 2022-11-23T01:37:54.8814651Z 3239 0 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8814744Z 2 LOAD_CONST 1 (1) 2022-11-23T01:37:54.8814822Z 4 BINARY_ADD 2022-11-23T01:37:54.8814912Z 6 STORE_FAST 1 (b) 2022-11-23T01:37:54.8814917Z 2022-11-23T01:37:54.8815006Z 3240 8 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8815101Z 10 LOAD_METHOD 0 (view) 2022-11-23T01:37:54.8815178Z 12 LOAD_CONST 2 (64) 2022-11-23T01:37:54.8815268Z 14 CALL_METHOD 1 2022-11-23T01:37:54.8815362Z 16 LOAD_METHOD 1 (copy_) 2022-11-23T01:37:54.8815455Z 18 LOAD_GLOBAL 2 (torch) 2022-11-23T01:37:54.8815552Z 20 LOAD_ATTR 3 (tensor) 2022-11-23T01:37:54.8815643Z 22 LOAD_CONST 3 (66.0) 2022-11-23T01:37:54.8815732Z 24 BUILD_LIST 1 2022-11-23T01:37:54.8815808Z 26 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8815904Z 28 LOAD_ATTR 4 (device) 2022-11-23T01:37:54.8816061Z 30 LOAD_CONST 4 (('device',)) 2022-11-23T01:37:54.8816154Z 32 CALL_FUNCTION_KW 2 2022-11-23T01:37:54.8816242Z 34 CALL_METHOD 1 2022-11-23T01:37:54.8816319Z 36 POP_TOP 2022-11-23T01:37:54.8816324Z 2022-11-23T01:37:54.8816414Z 3241 38 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8816505Z 40 LOAD_CONST 5 (2) 2022-11-23T01:37:54.8816566Z 42 BINARY_ADD 2022-11-23T01:37:54.8816656Z 44 STORE_FAST 2 (c) 2022-11-23T01:37:54.8816663Z 2022-11-23T01:37:54.8816749Z 3242 46 LOAD_FAST 1 (b) 2022-11-23T01:37:54.8816833Z 48 LOAD_FAST 2 (c) 2022-11-23T01:37:54.8816925Z 50 BUILD_TUPLE 2 2022-11-23T01:37:54.8816999Z 52 RETURN_VALUE 2022-11-23T01:37:54.8817004Z 2022-11-23T01:37:54.8817064Z 2022-11-23T01:37:54.8817335Z [2022-11-23 01:32:48,482] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 3238 2022-11-23T01:37:54.8817446Z 3238 0 LOAD_GLOBAL 5 (__compiled_fn_212) 2022-11-23T01:37:54.8817534Z 2 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8817623Z 4 CALL_FUNCTION 1 2022-11-23T01:37:54.8817726Z 6 STORE_FAST 3 (___graph_out_0) 2022-11-23T01:37:54.8817826Z 8 LOAD_FAST 3 (___graph_out_0) 2022-11-23T01:37:54.8817914Z 10 LOAD_CONST 6 (0) 2022-11-23T01:37:54.8817991Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.8818079Z 14 LOAD_FAST 3 (___graph_out_0) 2022-11-23T01:37:54.8818165Z 16 LOAD_CONST 1 (1) 2022-11-23T01:37:54.8818240Z 18 BINARY_SUBSCR 2022-11-23T01:37:54.8818327Z 20 BUILD_TUPLE 2 2022-11-23T01:37:54.8818401Z 22 RETURN_VALUE 2022-11-23T01:37:54.8818439Z 2022-11-23T01:37:54.8818498Z 2022-11-23T01:37:54.8818686Z [2022-11-23 01:32:48,483] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.8818884Z - 2022-11-23T01:37:54.8819072Z local 'a' TYPE_MATCH 2022-11-23T01:37:54.8819141Z { 2022-11-23T01:37:54.8819287Z 'guard_types': ['TYPE_MATCH'], 2022-11-23T01:37:54.8819454Z 'code': ['___check_type_id(a, 93851459086816)'], 2022-11-23T01:37:54.8819673Z 'obj_weakref': 2022-11-23T01:37:54.8819932Z 'guarded_class': 2022-11-23T01:37:54.8820057Z } 2022-11-23T01:37:54.8820121Z 2022-11-23T01:37:54.8820193Z - 2022-11-23T01:37:54.8820314Z local 'a' TENSOR_MATCH 2022-11-23T01:37:54.8820377Z { 2022-11-23T01:37:54.8820526Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8820637Z 'code': None, 2022-11-23T01:37:54.8820834Z 'obj_weakref': 2022-11-23T01:37:54.8821087Z 'guarded_class': 2022-11-23T01:37:54.8821153Z } 2022-11-23T01:37:54.8821217Z 2022-11-23T01:37:54.8821287Z - 2022-11-23T01:37:54.8821422Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.8821485Z { 2022-11-23T01:37:54.8821595Z 'guard_types': None, 2022-11-23T01:37:54.8821707Z 'code': None, 2022-11-23T01:37:54.8821826Z 'obj_weakref': None 2022-11-23T01:37:54.8821951Z 'guarded_class': None 2022-11-23T01:37:54.8822015Z } 2022-11-23T01:37:54.8822078Z 2022-11-23T01:37:54.8822143Z ok (0.015s) 2022-11-23T01:37:54.8822451Z test_input_mutation3_cpu (__main__.CpuTests) ... [2022-11-23 01:32:48,486] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:37:54.8822724Z [2022-11-23 01:32:48,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3256 2022-11-23T01:37:54.8822938Z [2022-11-23 01:32:48,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:54.8823181Z [2022-11-23 01:32:48,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:37:54.8823468Z [2022-11-23 01:32:48,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE INPLACE_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8823711Z [2022-11-23 01:32:48,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()] 2022-11-23T01:37:54.8823977Z [2022-11-23 01:32:48,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3257 2022-11-23T01:37:54.8824188Z [2022-11-23 01:32:48,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:54.8824426Z [2022-11-23 01:32:48,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:37:54.8824711Z [2022-11-23 01:32:48,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE INPLACE_MULTIPLY None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8824951Z [2022-11-23 01:32:48,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()] 2022-11-23T01:37:54.8825220Z [2022-11-23 01:32:48,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3258 2022-11-23T01:37:54.8825441Z [2022-11-23 01:32:48,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.8825752Z [2022-11-23 01:32:48,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sigmoid_ [TorchVariable()] 2022-11-23T01:37:54.8826048Z [2022-11-23 01:32:48,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.sigmoid_)] 2022-11-23T01:37:54.8826343Z [2022-11-23 01:32:48,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.sigmoid_), TensorVariable()] 2022-11-23T01:37:54.8826587Z [2022-11-23 01:32:48,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()] 2022-11-23T01:37:54.8826855Z [2022-11-23 01:32:48,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3259 2022-11-23T01:37:54.8827066Z [2022-11-23 01:32:48,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:54.8827363Z [2022-11-23 01:32:48,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:37:54.8827641Z [2022-11-23 01:32:48,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:37:54.8827962Z [2022-11-23 01:32:48,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ConstantVariable(int)] 2022-11-23T01:37:54.8828281Z [2022-11-23 01:32:48,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()] 2022-11-23T01:37:54.8828557Z [2022-11-23 01:32:48,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3260 2022-11-23T01:37:54.8828765Z [2022-11-23 01:32:48,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:54.8829006Z [2022-11-23 01:32:48,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable()] 2022-11-23T01:37:54.8829291Z [2022-11-23 01:32:48,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE INPLACE_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8829536Z [2022-11-23 01:32:48,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()] 2022-11-23T01:37:54.8829792Z [2022-11-23 01:32:48,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3261 2022-11-23T01:37:54.8830006Z [2022-11-23 01:32:48,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:54.8830247Z [2022-11-23 01:32:48,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable()] 2022-11-23T01:37:54.8830542Z [2022-11-23 01:32:48,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE INPLACE_MULTIPLY None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8830783Z [2022-11-23 01:32:48,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST a [TensorVariable()] 2022-11-23T01:37:54.8831051Z [2022-11-23 01:32:48,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3262 2022-11-23T01:37:54.8831275Z [2022-11-23 01:32:48,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.8831586Z [2022-11-23 01:32:48,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu_ [TorchVariable()] 2022-11-23T01:37:54.8831842Z [2022-11-23 01:32:48,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.relu_)] 2022-11-23T01:37:54.8832116Z [2022-11-23 01:32:48,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.relu_), TensorVariable()] 2022-11-23T01:37:54.8832359Z [2022-11-23 01:32:48,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()] 2022-11-23T01:37:54.8832625Z [2022-11-23 01:32:48,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3263 2022-11-23T01:37:54.8832833Z [2022-11-23 01:32:48,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:54.8833085Z [2022-11-23 01:32:48,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.8833320Z [2022-11-23 01:32:48,503] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:37:54.8833599Z [2022-11-23 01:32:48,504] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:37:54.8833901Z [2022-11-23 01:32:48,508] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation 2022-11-23T01:37:54.8834164Z [2022-11-23 01:32:48,508] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager 2022-11-23T01:37:54.8834407Z [2022-11-23 01:32:48,508] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:37:54.8834586Z [2022-11-23 01:32:48,508] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.8834753Z __compiled_fn_213 .1727 opcode, name, target, args, kwargs 2022-11-23T01:37:54.8834838Z placeholder, a, a, (), {} 2022-11-23T01:37:54.8835010Z call_function, iadd, , (a, 1), {} 2022-11-23T01:37:54.8835188Z call_function, imul, , (iadd, 2), {} 2022-11-23T01:37:54.8835301Z call_function, sigmoid_, aten.sigmoid_, (imul,), {} 2022-11-23T01:37:54.8835394Z call_method, view, view, (imul, 64), {} 2022-11-23T01:37:54.8835561Z call_function, iadd_1, , (view, 3), {} 2022-11-23T01:37:54.8835741Z call_function, imul_1, , (iadd_1, 4), {} 2022-11-23T01:37:54.8835845Z call_function, relu_, aten.relu_, (imul_1,), {} 2022-11-23T01:37:54.8835942Z output, output, output, ((imul_1,),), {} 2022-11-23T01:37:54.8835949Z 2022-11-23T01:37:54.8836227Z [2022-11-23 01:32:48,508] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 3255 2022-11-23T01:37:54.8836316Z 3256 0 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8836407Z 2 LOAD_CONST 1 (1) 2022-11-23T01:37:54.8836483Z 4 INPLACE_ADD 2022-11-23T01:37:54.8836560Z 6 STORE_FAST 0 (a) 2022-11-23T01:37:54.8836565Z 2022-11-23T01:37:54.8836649Z 3257 8 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8836736Z 10 LOAD_CONST 2 (2) 2022-11-23T01:37:54.8836817Z 12 INPLACE_MULTIPLY 2022-11-23T01:37:54.8836903Z 14 STORE_FAST 0 (a) 2022-11-23T01:37:54.8836908Z 2022-11-23T01:37:54.8837000Z 3258 16 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.8837097Z 18 LOAD_METHOD 1 (sigmoid_) 2022-11-23T01:37:54.8837183Z 20 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8837259Z 22 CALL_METHOD 1 2022-11-23T01:37:54.8837330Z 24 POP_TOP 2022-11-23T01:37:54.8837335Z 2022-11-23T01:37:54.8837423Z 3259 26 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8837513Z 28 LOAD_METHOD 2 (view) 2022-11-23T01:37:54.8837601Z 30 LOAD_CONST 3 (64) 2022-11-23T01:37:54.8837687Z 32 CALL_METHOD 1 2022-11-23T01:37:54.8837773Z 34 STORE_FAST 0 (a) 2022-11-23T01:37:54.8837778Z 2022-11-23T01:37:54.8837853Z 3260 36 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8837938Z 38 LOAD_CONST 4 (3) 2022-11-23T01:37:54.8838011Z 40 INPLACE_ADD 2022-11-23T01:37:54.8838096Z 42 STORE_FAST 0 (a) 2022-11-23T01:37:54.8838100Z 2022-11-23T01:37:54.8838183Z 3261 44 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8838269Z 46 LOAD_CONST 5 (4) 2022-11-23T01:37:54.8838349Z 48 INPLACE_MULTIPLY 2022-11-23T01:37:54.8838435Z 50 STORE_FAST 0 (a) 2022-11-23T01:37:54.8838442Z 2022-11-23T01:37:54.8838523Z 3262 52 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.8838614Z 54 LOAD_METHOD 3 (relu_) 2022-11-23T01:37:54.8838698Z 56 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8838783Z 58 CALL_METHOD 1 2022-11-23T01:37:54.8838853Z 60 POP_TOP 2022-11-23T01:37:54.8838857Z 2022-11-23T01:37:54.8838980Z 3263 62 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8839056Z 64 RETURN_VALUE 2022-11-23T01:37:54.8839061Z 2022-11-23T01:37:54.8839119Z 2022-11-23T01:37:54.8839386Z [2022-11-23 01:32:48,508] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 3255 2022-11-23T01:37:54.8839498Z 3255 0 LOAD_GLOBAL 4 (__compiled_fn_213) 2022-11-23T01:37:54.8839585Z 2 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8839673Z 4 CALL_FUNCTION 1 2022-11-23T01:37:54.8839794Z 6 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.8839867Z 8 RETURN_VALUE 2022-11-23T01:37:54.8839872Z 2022-11-23T01:37:54.8839931Z 2022-11-23T01:37:54.8840107Z [2022-11-23 01:32:48,509] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.8840178Z - 2022-11-23T01:37:54.8840300Z local 'a' TENSOR_MATCH 2022-11-23T01:37:54.8840367Z { 2022-11-23T01:37:54.8840516Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8840625Z 'code': None, 2022-11-23T01:37:54.8840843Z 'obj_weakref': 2022-11-23T01:37:54.8841090Z 'guarded_class': 2022-11-23T01:37:54.8841157Z } 2022-11-23T01:37:54.8841218Z 2022-11-23T01:37:54.8841290Z - 2022-11-23T01:37:54.8841424Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.8841486Z { 2022-11-23T01:37:54.8841611Z 'guard_types': None, 2022-11-23T01:37:54.8841706Z 'code': None, 2022-11-23T01:37:54.8841824Z 'obj_weakref': None 2022-11-23T01:37:54.8841946Z 'guarded_class': None 2022-11-23T01:37:54.8842008Z } 2022-11-23T01:37:54.8842068Z 2022-11-23T01:37:54.8842132Z ok (0.026s) 2022-11-23T01:37:54.8842453Z test_input_mutation4_cpu (__main__.CpuTests) ... [2022-11-23 01:32:48,512] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:37:54.8842714Z [2022-11-23 01:32:48,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3276 2022-11-23T01:37:54.8842936Z [2022-11-23 01:32:48,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.8843306Z [2022-11-23 01:32:48,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu_ [TorchVariable()] 2022-11-23T01:37:54.8843633Z [2022-11-23 01:32:48,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:54.8843988Z [2022-11-23 01:32:48,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.8844233Z [2022-11-23 01:32:48,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()] 2022-11-23T01:37:54.8844501Z [2022-11-23 01:32:48,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3277 2022-11-23T01:37:54.8844713Z [2022-11-23 01:32:48,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:54.8844965Z [2022-11-23 01:32:48,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.8845200Z [2022-11-23 01:32:48,513] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:37:54.8845435Z [2022-11-23 01:32:48,513] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:37:54.8845734Z [2022-11-23 01:32:48,515] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation 2022-11-23T01:37:54.8846031Z [2022-11-23 01:32:48,515] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager 2022-11-23T01:37:54.8846275Z [2022-11-23 01:32:48,515] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:37:54.8846467Z [2022-11-23 01:32:48,515] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.8846605Z __compiled_fn_214 .1730 opcode, name, target, args, kwargs 2022-11-23T01:37:54.8846686Z placeholder, a, a, (), {} 2022-11-23T01:37:54.8846907Z call_function, relu_, , (a,), {} 2022-11-23T01:37:54.8847019Z output, output, output, ((a,),), {} 2022-11-23T01:37:54.8847036Z 2022-11-23T01:37:54.8847303Z [2022-11-23 01:32:48,515] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 3275 2022-11-23T01:37:54.8847398Z 3276 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.8847491Z 2 LOAD_METHOD 1 (relu_) 2022-11-23T01:37:54.8847580Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8847669Z 6 CALL_METHOD 1 2022-11-23T01:37:54.8847740Z 8 POP_TOP 2022-11-23T01:37:54.8847745Z 2022-11-23T01:37:54.8847835Z 3277 10 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8847898Z 12 RETURN_VALUE 2022-11-23T01:37:54.8847914Z 2022-11-23T01:37:54.8847961Z 2022-11-23T01:37:54.8848234Z [2022-11-23 01:32:48,515] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 3275 2022-11-23T01:37:54.8848347Z 3275 0 LOAD_GLOBAL 2 (__compiled_fn_214) 2022-11-23T01:37:54.8848433Z 2 LOAD_FAST 0 (a) 2022-11-23T01:37:54.8848522Z 4 CALL_FUNCTION 1 2022-11-23T01:37:54.8848613Z 6 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.8848686Z 8 RETURN_VALUE 2022-11-23T01:37:54.8848692Z 2022-11-23T01:37:54.8848739Z 2022-11-23T01:37:54.8848924Z [2022-11-23 01:32:48,515] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.8848993Z - 2022-11-23T01:37:54.8849114Z local 'a' TENSOR_MATCH 2022-11-23T01:37:54.8849179Z { 2022-11-23T01:37:54.8849323Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8849431Z 'code': None, 2022-11-23T01:37:54.8849633Z 'obj_weakref': 2022-11-23T01:37:54.8849891Z 'guarded_class': 2022-11-23T01:37:54.8849957Z } 2022-11-23T01:37:54.8850019Z 2022-11-23T01:37:54.8850092Z - 2022-11-23T01:37:54.8850227Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.8850290Z { 2022-11-23T01:37:54.8850399Z 'guard_types': None, 2022-11-23T01:37:54.8850504Z 'code': None, 2022-11-23T01:37:54.8850626Z 'obj_weakref': None 2022-11-23T01:37:54.8850748Z 'guarded_class': None 2022-11-23T01:37:54.8850811Z } 2022-11-23T01:37:54.8850872Z 2022-11-23T01:37:54.8850937Z ok (0.007s) 2022-11-23T01:37:54.8851255Z test_invalid_operand_issue1_cpu (__main__.CpuTests) ... [2022-11-23 01:32:48,952] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.8851524Z [2022-11-23 01:32:48,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.8851744Z [2022-11-23 01:32:48,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.8852003Z [2022-11-23 01:32:48,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.8852290Z [2022-11-23 01:32:48,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.8852642Z [2022-11-23 01:32:48,952] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.8852984Z [2022-11-23 01:32:48,953] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.8853081Z 4467 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.8853173Z 2 LOAD_ATTR 1 (ops) 2022-11-23T01:37:54.8853251Z 4 LOAD_ATTR 2 (aten) 2022-11-23T01:37:54.8853384Z 6 LOAD_ATTR 3 (slice_scatter) 2022-11-23T01:37:54.8853480Z 8 LOAD_METHOD 4 (default) 2022-11-23T01:37:54.8853486Z 2022-11-23T01:37:54.8853577Z 4468 10 LOAD_FAST 5 (slice_1) 2022-11-23T01:37:54.8853667Z 12 LOAD_FAST 2 (arg3_1) 2022-11-23T01:37:54.8853757Z 14 LOAD_CONST 1 (1) 2022-11-23T01:37:54.8853845Z 16 LOAD_CONST 1 (1) 2022-11-23T01:37:54.8853943Z 18 LOAD_CONST 2 (9223372036854775807) 2022-11-23T01:37:54.8854020Z 20 CALL_METHOD 5 2022-11-23T01:37:54.8854120Z 22 STORE_FAST 6 (slice_scatter) 2022-11-23T01:37:54.8854126Z 2022-11-23T01:37:54.8854220Z 4470 24 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.8854315Z 26 LOAD_ATTR 1 (ops) 2022-11-23T01:37:54.8854406Z 28 LOAD_ATTR 2 (aten) 2022-11-23T01:37:54.8854509Z 30 LOAD_ATTR 3 (slice_scatter) 2022-11-23T01:37:54.8854606Z 32 LOAD_METHOD 4 (default) 2022-11-23T01:37:54.8854611Z 2022-11-23T01:37:54.8854704Z 4471 34 LOAD_FAST 1 (arg1_1) 2022-11-23T01:37:54.8854792Z 36 LOAD_FAST 6 (slice_scatter) 2022-11-23T01:37:54.8854882Z 38 LOAD_CONST 3 (0) 2022-11-23T01:37:54.8854972Z 40 LOAD_CONST 3 (0) 2022-11-23T01:37:54.8855073Z 42 LOAD_CONST 2 (9223372036854775807) 2022-11-23T01:37:54.8855163Z 44 CALL_METHOD 5 2022-11-23T01:37:54.8855269Z 46 STORE_FAST 7 (slice_scatter_1) 2022-11-23T01:37:54.8855274Z 2022-11-23T01:37:54.8855367Z 4473 48 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.8855446Z 50 LOAD_ATTR 1 (ops) 2022-11-23T01:37:54.8855538Z 52 LOAD_ATTR 2 (aten) 2022-11-23T01:37:54.8855632Z 54 LOAD_ATTR 5 (slice) 2022-11-23T01:37:54.8855726Z 56 LOAD_METHOD 6 (Tensor) 2022-11-23T01:37:54.8855730Z 2022-11-23T01:37:54.8855833Z 4474 58 LOAD_FAST 7 (slice_scatter_1) 2022-11-23T01:37:54.8855924Z 60 LOAD_CONST 3 (0) 2022-11-23T01:37:54.8856015Z 62 LOAD_CONST 3 (0) 2022-11-23T01:37:54.8856114Z 64 LOAD_CONST 2 (9223372036854775807) 2022-11-23T01:37:54.8856189Z 66 CALL_METHOD 4 2022-11-23T01:37:54.8856284Z 68 STORE_FAST 8 (slice_2) 2022-11-23T01:37:54.8856289Z 2022-11-23T01:37:54.8856381Z 4476 70 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.8856472Z 72 LOAD_ATTR 1 (ops) 2022-11-23T01:37:54.8856563Z 74 LOAD_ATTR 2 (aten) 2022-11-23T01:37:54.8856666Z 76 LOAD_ATTR 7 (select_scatter) 2022-11-23T01:37:54.8856763Z 78 LOAD_METHOD 4 (default) 2022-11-23T01:37:54.8856769Z 2022-11-23T01:37:54.8856859Z 4477 80 LOAD_FAST 8 (slice_2) 2022-11-23T01:37:54.8856934Z 82 LOAD_FAST 3 (squeeze) 2022-11-23T01:37:54.8857050Z 84 LOAD_CONST 1 (1) 2022-11-23T01:37:54.8857143Z 86 LOAD_CONST 3 (0) 2022-11-23T01:37:54.8857230Z 88 CALL_METHOD 4 2022-11-23T01:37:54.8857335Z 90 STORE_FAST 9 (select_scatter) 2022-11-23T01:37:54.8857341Z 2022-11-23T01:37:54.8857435Z 4479 92 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.8857526Z 94 LOAD_ATTR 1 (ops) 2022-11-23T01:37:54.8857618Z 96 LOAD_ATTR 2 (aten) 2022-11-23T01:37:54.8857706Z 98 LOAD_ATTR 3 (slice_scatter) 2022-11-23T01:37:54.8857832Z 100 LOAD_METHOD 4 (default) 2022-11-23T01:37:54.8857837Z 2022-11-23T01:37:54.8857941Z 4480 102 LOAD_FAST 7 (slice_scatter_1) 2022-11-23T01:37:54.8858044Z 104 LOAD_FAST 9 (select_scatter) 2022-11-23T01:37:54.8858134Z 106 LOAD_CONST 3 (0) 2022-11-23T01:37:54.8858225Z 108 LOAD_CONST 3 (0) 2022-11-23T01:37:54.8858327Z 110 LOAD_CONST 2 (9223372036854775807) 2022-11-23T01:37:54.8858401Z 112 CALL_METHOD 5 2022-11-23T01:37:54.8858503Z 114 STORE_FAST 10 (slice_scatter_2) 2022-11-23T01:37:54.8858509Z 2022-11-23T01:37:54.8858602Z 4482 116 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.8858694Z 118 LOAD_ATTR 1 (ops) 2022-11-23T01:37:54.8858948Z 120 LOAD_ATTR 2 (aten) 2022-11-23T01:37:54.8859082Z 122 LOAD_ATTR 8 (view) 2022-11-23T01:37:54.8859184Z 124 LOAD_METHOD 4 (default) 2022-11-23T01:37:54.8859288Z 126 LOAD_FAST 10 (slice_scatter_2) 2022-11-23T01:37:54.8859423Z 128 LOAD_CONST 4 (-1) 2022-11-23T01:37:54.8859514Z 130 LOAD_CONST 5 (128) 2022-11-23T01:37:54.8859605Z 132 BUILD_LIST 2 2022-11-23T01:37:54.8859696Z 134 CALL_METHOD 2 2022-11-23T01:37:54.8859787Z 136 STORE_FAST 11 (view) 2022-11-23T01:37:54.8859792Z 2022-11-23T01:37:54.8859882Z 4483 138 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.8859972Z 140 LOAD_ATTR 1 (ops) 2022-11-23T01:37:54.8860062Z 142 LOAD_ATTR 2 (aten) 2022-11-23T01:37:54.8860149Z 144 LOAD_ATTR 9 (embedding) 2022-11-23T01:37:54.8860245Z 146 LOAD_METHOD 4 (default) 2022-11-23T01:37:54.8860341Z 148 LOAD_FAST 0 (arg0_1) 2022-11-23T01:37:54.8860431Z 150 LOAD_FAST 11 (view) 2022-11-23T01:37:54.8860520Z 152 LOAD_CONST 1 (1) 2022-11-23T01:37:54.8860606Z 154 CALL_METHOD 3 2022-11-23T01:37:54.8860707Z 156 STORE_FAST 12 (embedding) 2022-11-23T01:37:54.8860714Z 2022-11-23T01:37:54.8860798Z 4484 158 LOAD_FAST 12 (embedding) 2022-11-23T01:37:54.8860890Z 160 LOAD_FAST 4 (view_1) 2022-11-23T01:37:54.8860975Z 162 BUILD_LIST 2 2022-11-23T01:37:54.8861050Z 164 RETURN_VALUE 2022-11-23T01:37:54.8861110Z 2022-11-23T01:37:54.8861115Z 2022-11-23T01:37:54.8861395Z [2022-11-23 01:32:48,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4467 2022-11-23T01:37:54.8861619Z [2022-11-23 01:32:48,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.8861987Z [2022-11-23 01:32:48,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:37:54.8862345Z [2022-11-23 01:32:48,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:37:54.8862658Z [2022-11-23 01:32:48,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TorchVariable()] 2022-11-23T01:37:54.8862931Z [2022-11-23 01:32:48,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.slice_scatter)] 2022-11-23T01:37:54.8863200Z [2022-11-23 01:32:48,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4468 2022-11-23T01:37:54.8863491Z [2022-11-23 01:32:48,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_1 [TorchVariable(aten.slice_scatter.default)] 2022-11-23T01:37:54.8863861Z [2022-11-23 01:32:48,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg3_1 [TorchVariable(aten.slice_scatter.default), TensorVariable()] 2022-11-23T01:37:54.8864206Z [2022-11-23 01:32:48,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8864580Z [2022-11-23 01:32:48,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8865013Z [2022-11-23 01:32:48,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9223372036854775807 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.8865468Z [2022-11-23 01:32:48,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.8865734Z [2022-11-23 01:32:48,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST slice_scatter [TensorVariable()] 2022-11-23T01:37:54.8866005Z [2022-11-23 01:32:48,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4470 2022-11-23T01:37:54.8866212Z [2022-11-23 01:32:48,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.8866574Z [2022-11-23 01:32:48,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:37:54.8866867Z [2022-11-23 01:32:48,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:37:54.8867188Z [2022-11-23 01:32:48,967] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TorchVariable()] 2022-11-23T01:37:54.8867469Z [2022-11-23 01:32:48,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.slice_scatter)] 2022-11-23T01:37:54.8867739Z [2022-11-23 01:32:48,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4471 2022-11-23T01:37:54.8868030Z [2022-11-23 01:32:48,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg1_1 [TorchVariable(aten.slice_scatter.default)] 2022-11-23T01:37:54.8868434Z [2022-11-23 01:32:48,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_scatter [TorchVariable(aten.slice_scatter.default), TensorVariable()] 2022-11-23T01:37:54.8868776Z [2022-11-23 01:32:48,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8869149Z [2022-11-23 01:32:48,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8869587Z [2022-11-23 01:32:48,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9223372036854775807 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.8870084Z [2022-11-23 01:32:48,968] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.8870338Z [2022-11-23 01:32:48,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST slice_scatter_1 [TensorVariable()] 2022-11-23T01:37:54.8870608Z [2022-11-23 01:32:48,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4473 2022-11-23T01:37:54.8870828Z [2022-11-23 01:32:48,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.8871226Z [2022-11-23 01:32:48,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:37:54.8871522Z [2022-11-23 01:32:48,969] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:37:54.8871826Z [2022-11-23 01:32:48,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice [TorchVariable()] 2022-11-23T01:37:54.8872085Z [2022-11-23 01:32:48,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.slice)] 2022-11-23T01:37:54.8872353Z [2022-11-23 01:32:48,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4474 2022-11-23T01:37:54.8872642Z [2022-11-23 01:32:48,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_scatter_1 [TorchVariable(aten.slice.Tensor)] 2022-11-23T01:37:54.8872941Z [2022-11-23 01:32:48,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice.Tensor), TensorVariable()] 2022-11-23T01:37:54.8873263Z [2022-11-23 01:32:48,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice.Tensor), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8873654Z [2022-11-23 01:32:48,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9223372036854775807 [TorchVariable(aten.slice.Tensor), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.8874064Z [2022-11-23 01:32:48,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.slice.Tensor), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.8874313Z [2022-11-23 01:32:48,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST slice_2 [TensorVariable()] 2022-11-23T01:37:54.8874583Z [2022-11-23 01:32:48,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4476 2022-11-23T01:37:54.8874800Z [2022-11-23 01:32:48,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.8875160Z [2022-11-23 01:32:48,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:37:54.8875454Z [2022-11-23 01:32:48,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:37:54.8875776Z [2022-11-23 01:32:48,982] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR select_scatter [TorchVariable()] 2022-11-23T01:37:54.8876052Z [2022-11-23 01:32:48,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.select_scatter)] 2022-11-23T01:37:54.8876321Z [2022-11-23 01:32:48,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4477 2022-11-23T01:37:54.8876602Z [2022-11-23 01:32:48,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_2 [TorchVariable(aten.select_scatter.default)] 2022-11-23T01:37:54.8876948Z [2022-11-23 01:32:48,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST squeeze [TorchVariable(aten.select_scatter.default), TensorVariable()] 2022-11-23T01:37:54.8877289Z [2022-11-23 01:32:48,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.select_scatter.default), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8877665Z [2022-11-23 01:32:48,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.select_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8878088Z [2022-11-23 01:32:48,983] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.select_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.8878383Z [2022-11-23 01:32:48,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST select_scatter [TensorVariable()] 2022-11-23T01:37:54.8878648Z [2022-11-23 01:32:48,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4479 2022-11-23T01:37:54.8878871Z [2022-11-23 01:32:48,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.8879233Z [2022-11-23 01:32:48,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:37:54.8879526Z [2022-11-23 01:32:48,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:37:54.8879843Z [2022-11-23 01:32:48,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TorchVariable()] 2022-11-23T01:37:54.8880118Z [2022-11-23 01:32:48,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.slice_scatter)] 2022-11-23T01:37:54.8880370Z [2022-11-23 01:32:48,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4480 2022-11-23T01:37:54.8880671Z [2022-11-23 01:32:48,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_scatter_1 [TorchVariable(aten.slice_scatter.default)] 2022-11-23T01:37:54.8881000Z [2022-11-23 01:32:48,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST select_scatter [TorchVariable(aten.slice_scatter.default), TensorVariable()] 2022-11-23T01:37:54.8881336Z [2022-11-23 01:32:48,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8881706Z [2022-11-23 01:32:48,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8882142Z [2022-11-23 01:32:48,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9223372036854775807 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.8882601Z [2022-11-23 01:32:48,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.slice_scatter.default), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.8882863Z [2022-11-23 01:32:48,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST slice_scatter_2 [TensorVariable()] 2022-11-23T01:37:54.8883128Z [2022-11-23 01:32:48,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4482 2022-11-23T01:37:54.8883347Z [2022-11-23 01:32:48,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.8883712Z [2022-11-23 01:32:48,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:37:54.8883992Z [2022-11-23 01:32:48,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:37:54.8884326Z [2022-11-23 01:32:48,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TorchVariable()] 2022-11-23T01:37:54.8884590Z [2022-11-23 01:32:48,998] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.view)] 2022-11-23T01:37:54.8884876Z [2022-11-23 01:32:48,998] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST slice_scatter_2 [TorchVariable(aten.view.default)] 2022-11-23T01:37:54.8885174Z [2022-11-23 01:32:48,998] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(aten.view.default), TensorVariable()] 2022-11-23T01:37:54.8885542Z [2022-11-23 01:32:48,998] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 128 [TorchVariable(aten.view.default), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8885913Z [2022-11-23 01:32:48,998] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.view.default), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.8886242Z [2022-11-23 01:32:48,998] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.view.default), TensorVariable(), ListVariable()] 2022-11-23T01:37:54.8886489Z [2022-11-23 01:32:48,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST view [TensorVariable()] 2022-11-23T01:37:54.8886758Z [2022-11-23 01:32:48,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4483 2022-11-23T01:37:54.8886979Z [2022-11-23 01:32:48,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.8887331Z [2022-11-23 01:32:48,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:37:54.8887626Z [2022-11-23 01:32:49,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:37:54.8887941Z [2022-11-23 01:32:49,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR embedding [TorchVariable()] 2022-11-23T01:37:54.8888211Z [2022-11-23 01:32:49,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.embedding)] 2022-11-23T01:37:54.8888498Z [2022-11-23 01:32:49,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg0_1 [TorchVariable(aten.embedding.default)] 2022-11-23T01:37:54.8888808Z [2022-11-23 01:32:49,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST view [TorchVariable(aten.embedding.default), TensorVariable()] 2022-11-23T01:37:54.8889146Z [2022-11-23 01:32:49,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.embedding.default), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8889523Z [2022-11-23 01:32:49,006] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.embedding.default), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8889778Z [2022-11-23 01:32:49,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST embedding [TensorVariable()] 2022-11-23T01:37:54.8890048Z [2022-11-23 01:32:49,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4484 2022-11-23T01:37:54.8890269Z [2022-11-23 01:32:49,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST embedding [] 2022-11-23T01:37:54.8890501Z [2022-11-23 01:32:49,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST view_1 [TensorVariable()] 2022-11-23T01:37:54.8890768Z [2022-11-23 01:32:49,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8891016Z [2022-11-23 01:32:49,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()] 2022-11-23T01:37:54.8891394Z [2022-11-23 01:32:49,007] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.8891643Z [2022-11-23 01:32:49,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()] 2022-11-23T01:37:54.8891881Z [2022-11-23 01:32:49,007] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.8892136Z [2022-11-23 01:32:49,014] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.8892388Z [2022-11-23 01:32:49,023] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.8892581Z [2022-11-23 01:32:49,023] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.8892737Z __compiled_fn_215 .1736 opcode, name, target, args, kwargs 2022-11-23T01:37:54.8892826Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.8892910Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.8892992Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:37:54.8893078Z placeholder, ex_3_, ex_3_, (), {} 2022-11-23T01:37:54.8893160Z placeholder, ex_5_, ex_5_, (), {} 2022-11-23T01:37:54.8893325Z call_function, slice_scatter_default, aten.slice_scatter.default, (ex_5_, ex_2_, 1, 1, 9223372036854775807), {} 2022-11-23T01:37:54.8893501Z call_function, slice_scatter_default_1, aten.slice_scatter.default, (ex_1_, slice_scatter_default, 0, 0, 9223372036854775807), {} 2022-11-23T01:37:54.8893665Z call_function, slice_tensor, aten.slice.Tensor, (slice_scatter_default_1, 0, 0, 9223372036854775807), {} 2022-11-23T01:37:54.8893832Z call_function, select_scatter_default, aten.select_scatter.default, (slice_tensor, ex_3_, 1, 0), {} 2022-11-23T01:37:54.8894042Z call_function, slice_scatter_default_2, aten.slice_scatter.default, (slice_scatter_default_1, select_scatter_default, 0, 0, 9223372036854775807), {} 2022-11-23T01:37:54.8894273Z call_function, view_default, aten.view.default, (slice_scatter_default_2, [-1, 128]), {} 2022-11-23T01:37:54.8894435Z call_function, embedding_default, aten.embedding.default, (ex_0_, view_default, 1), {} 2022-11-23T01:37:54.8894547Z output, output, output, ((embedding_default,),), {} 2022-11-23T01:37:54.8894554Z 2022-11-23T01:37:54.8894832Z [2022-11-23 01:32:49,024] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8894928Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.8895005Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8895097Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.8895187Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.8895264Z 8 RETURN_VALUE 2022-11-23T01:37:54.8895269Z 2022-11-23T01:37:54.8895328Z 2022-11-23T01:37:54.8895605Z [2022-11-23 01:32:49,024] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8895713Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_215) 2022-11-23T01:37:54.8895806Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8895883Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8895958Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.8896044Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8896130Z 10 LOAD_CONST 3 (1) 2022-11-23T01:37:54.8896204Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.8896288Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8896372Z 16 LOAD_CONST 4 (2) 2022-11-23T01:37:54.8896433Z 18 BINARY_SUBSCR 2022-11-23T01:37:54.8896516Z 20 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8896603Z 22 LOAD_CONST 5 (3) 2022-11-23T01:37:54.8896676Z 24 BINARY_SUBSCR 2022-11-23T01:37:54.8896759Z 26 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8896843Z 28 LOAD_CONST 6 (5) 2022-11-23T01:37:54.8896916Z 30 BINARY_SUBSCR 2022-11-23T01:37:54.8897022Z 32 CALL_FUNCTION 5 2022-11-23T01:37:54.8897126Z 34 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8897225Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8897314Z 38 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8897389Z 40 BINARY_SUBSCR 2022-11-23T01:37:54.8897476Z 42 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8897561Z 44 LOAD_CONST 2 (4) 2022-11-23T01:37:54.8897623Z 46 BINARY_SUBSCR 2022-11-23T01:37:54.8897706Z 48 BUILD_LIST 2 2022-11-23T01:37:54.8897808Z 50 RETURN_VALUE 2022-11-23T01:37:54.8897813Z 2022-11-23T01:37:54.8897872Z 2022-11-23T01:37:54.8898059Z [2022-11-23 01:32:49,025] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.8898130Z - 2022-11-23T01:37:54.8898251Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.8898305Z { 2022-11-23T01:37:54.8898448Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.8898638Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 6'], 2022-11-23T01:37:54.8898915Z 'obj_weakref': None 2022-11-23T01:37:54.8899230Z 'guarded_class': 2022-11-23T01:37:54.8899304Z } 2022-11-23T01:37:54.8899368Z 2022-11-23T01:37:54.8899427Z - 2022-11-23T01:37:54.8899556Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.8899622Z { 2022-11-23T01:37:54.8899773Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8899884Z 'code': None, 2022-11-23T01:37:54.8900102Z 'obj_weakref': 2022-11-23T01:37:54.8900359Z 'guarded_class': 2022-11-23T01:37:54.8900425Z } 2022-11-23T01:37:54.8900476Z 2022-11-23T01:37:54.8900546Z - 2022-11-23T01:37:54.8900671Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.8900735Z { 2022-11-23T01:37:54.8900882Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8900993Z 'code': None, 2022-11-23T01:37:54.8901194Z 'obj_weakref': 2022-11-23T01:37:54.8901450Z 'guarded_class': 2022-11-23T01:37:54.8901518Z } 2022-11-23T01:37:54.8901581Z 2022-11-23T01:37:54.8901651Z - 2022-11-23T01:37:54.8901776Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:37:54.8901837Z { 2022-11-23T01:37:54.8901969Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8902077Z 'code': None, 2022-11-23T01:37:54.8902290Z 'obj_weakref': 2022-11-23T01:37:54.8902544Z 'guarded_class': 2022-11-23T01:37:54.8902608Z } 2022-11-23T01:37:54.8902668Z 2022-11-23T01:37:54.8902738Z - 2022-11-23T01:37:54.8902850Z local 'ex[3]' TENSOR_MATCH 2022-11-23T01:37:54.8902912Z { 2022-11-23T01:37:54.8903056Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8903164Z 'code': None, 2022-11-23T01:37:54.8903376Z 'obj_weakref': 2022-11-23T01:37:54.8903631Z 'guarded_class': 2022-11-23T01:37:54.8903694Z } 2022-11-23T01:37:54.8903757Z 2022-11-23T01:37:54.8903813Z - 2022-11-23T01:37:54.8903936Z local 'ex[4]' TENSOR_MATCH 2022-11-23T01:37:54.8904072Z { 2022-11-23T01:37:54.8904223Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8904333Z 'code': None, 2022-11-23T01:37:54.8904548Z 'obj_weakref': 2022-11-23T01:37:54.8904803Z 'guarded_class': 2022-11-23T01:37:54.8904854Z } 2022-11-23T01:37:54.8904915Z 2022-11-23T01:37:54.8904986Z - 2022-11-23T01:37:54.8905112Z local 'ex[5]' TENSOR_MATCH 2022-11-23T01:37:54.8905223Z { 2022-11-23T01:37:54.8905370Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8905466Z 'code': None, 2022-11-23T01:37:54.8905679Z 'obj_weakref': 2022-11-23T01:37:54.8905933Z 'guarded_class': 2022-11-23T01:37:54.8905997Z } 2022-11-23T01:37:54.8906060Z 2022-11-23T01:37:54.8906132Z - 2022-11-23T01:37:54.8906267Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.8906330Z { 2022-11-23T01:37:54.8906454Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.8906627Z 'code': ['___check_obj_id(model, 140538744183120)'], 2022-11-23T01:37:54.8906751Z 'obj_weakref': None 2022-11-23T01:37:54.8906986Z 'guarded_class': 2022-11-23T01:37:54.8907053Z } 2022-11-23T01:37:54.8907117Z 2022-11-23T01:37:54.8907189Z - 2022-11-23T01:37:54.8907302Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.8907366Z { 2022-11-23T01:37:54.8907505Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.8907730Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.8907853Z 'obj_weakref': None 2022-11-23T01:37:54.8908077Z 'guarded_class': 2022-11-23T01:37:54.8908224Z } 2022-11-23T01:37:54.8908278Z 2022-11-23T01:37:54.8908352Z - 2022-11-23T01:37:54.8908491Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.8908556Z { 2022-11-23T01:37:54.8908680Z 'guard_types': None, 2022-11-23T01:37:54.8908792Z 'code': None, 2022-11-23T01:37:54.8908904Z 'obj_weakref': None 2022-11-23T01:37:54.8909030Z 'guarded_class': None 2022-11-23T01:37:54.8909097Z } 2022-11-23T01:37:54.8909160Z 2022-11-23T01:37:54.8909427Z [2022-11-23 01:32:49,039] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 208 2022-11-23T01:37:54.8909810Z [2022-11-23 01:32:50,446] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sw/cswt7trvyo2jggxgnmptukahbusp65rrvap7ygwvwfadjamkjvtd.py 2022-11-23T01:37:54.8910077Z [2022-11-23 01:32:50,447] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 208 2022-11-23T01:37:54.8910085Z 2022-11-23T01:37:54.8910181Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.8910238Z import torch 2022-11-23T01:37:54.8910309Z import random 2022-11-23T01:37:54.8910426Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.8910548Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.8910556Z 2022-11-23T01:37:54.8910636Z aten = torch.ops.aten 2022-11-23T01:37:54.8910771Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.8910864Z async_compile = AsyncCompile() 2022-11-23T01:37:54.8910870Z 2022-11-23T01:37:54.8910874Z 2022-11-23T01:37:54.8911011Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.8911240Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.8911365Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:37:54.8911470Z const long* __restrict__ in_ptr1, 2022-11-23T01:37:54.8911573Z const long* __restrict__ in_ptr2, 2022-11-23T01:37:54.8911679Z const float* __restrict__ in_ptr3, 2022-11-23T01:37:54.8911779Z float* __restrict__ out_ptr0) 2022-11-23T01:37:54.8911843Z { 2022-11-23T01:37:54.8911906Z #pragma GCC ivdep 2022-11-23T01:37:54.8911988Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:54.8912096Z { 2022-11-23T01:37:54.8912174Z #pragma GCC ivdep 2022-11-23T01:37:54.8912259Z for(long i1=0; i1<128; i1+=1) 2022-11-23T01:37:54.8912327Z { 2022-11-23T01:37:54.8912407Z #pragma GCC ivdep 2022-11-23T01:37:54.8912480Z for(long i2=0; i2<768; i2+=1) 2022-11-23T01:37:54.8912544Z { 2022-11-23T01:37:54.8912610Z { 2022-11-23T01:37:54.8912678Z { 2022-11-23T01:37:54.8912772Z auto tmp3 = in_ptr0[i0]; 2022-11-23T01:37:54.8912878Z auto tmp8 = in_ptr2[i1 + (128*i0)]; 2022-11-23T01:37:54.8912982Z auto tmp0 = static_cast(i1); 2022-11-23T01:37:54.8913072Z auto tmp1 = static_cast(0); 2022-11-23T01:37:54.8913168Z auto tmp2 = tmp0 == tmp1; 2022-11-23T01:37:54.8913267Z auto tmp4 = static_cast(1); 2022-11-23T01:37:54.8913360Z auto tmp5 = tmp0 >= tmp4; 2022-11-23T01:37:54.8913442Z auto tmp6 = 0; 2022-11-23T01:37:54.8913515Z if(tmp5) 2022-11-23T01:37:54.8913585Z { 2022-11-23T01:37:54.8913747Z auto tmp7 = in_ptr1[(-1) + i1 + (127*i0)]; 2022-11-23T01:37:54.8913831Z tmp6 = tmp7; 2022-11-23T01:37:54.8913901Z } 2022-11-23T01:37:54.8914001Z auto tmp9 = tmp5 ? tmp6 : tmp8; 2022-11-23T01:37:54.8914103Z auto tmp10 = tmp2 ? tmp3 : tmp9; 2022-11-23T01:37:54.8914208Z auto tmp11 = in_ptr3[i2 + (768*tmp10)]; 2022-11-23T01:37:54.8914312Z out_ptr0[i2 + (768*i1) + (98304*i0)] = tmp11; 2022-11-23T01:37:54.8914377Z } 2022-11-23T01:37:54.8914429Z } 2022-11-23T01:37:54.8914490Z } 2022-11-23T01:37:54.8914550Z } 2022-11-23T01:37:54.8914611Z } 2022-11-23T01:37:54.8914672Z } 2022-11-23T01:37:54.8914753Z ''') 2022-11-23T01:37:54.8914758Z 2022-11-23T01:37:54.8914762Z 2022-11-23T01:37:54.8914839Z async_compile.wait(globals()) 2022-11-23T01:37:54.8914909Z del async_compile 2022-11-23T01:37:54.8914914Z 2022-11-23T01:37:54.8914982Z def call(args): 2022-11-23T01:37:54.8915080Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1 = args 2022-11-23T01:37:54.8915153Z args.clear() 2022-11-23T01:37:54.8915373Z buf0 = empty_strided((8, 128, 768), (98304, 768, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8915590Z kernel_cpp_0(c_void_p(arg3_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.8915658Z del arg0_1 2022-11-23T01:37:54.8915711Z del arg2_1 2022-11-23T01:37:54.8915776Z del arg3_1 2022-11-23T01:37:54.8915841Z del arg4_1 2022-11-23T01:37:54.8915911Z return (buf0, ) 2022-11-23T01:37:54.8915916Z 2022-11-23T01:37:54.8915922Z 2022-11-23T01:37:54.8915998Z if __name__ == "__main__": 2022-11-23T01:37:54.8916112Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.8916234Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.8916432Z arg0_1 = rand_strided((50005, 768), (768, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8916665Z arg1_1 = rand_strided((8, 128), (128, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.8916864Z arg2_1 = rand_strided((8, 127), (127, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.8917059Z arg3_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.8917252Z arg4_1 = rand_strided((8, 128), (128, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:54.8917387Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1])) 2022-11-23T01:37:54.8917392Z 2022-11-23T01:37:54.8917458Z ok (1.968s) 2022-11-23T01:37:54.8917763Z test_isinf2_cpu (__main__.CpuTests) ... [2022-11-23 01:32:50,489] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.8918081Z [2022-11-23 01:32:50,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.8918291Z [2022-11-23 01:32:50,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.8918549Z [2022-11-23 01:32:50,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.8918838Z [2022-11-23 01:32:50,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.8919167Z [2022-11-23 01:32:50,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.8919499Z [2022-11-23 01:32:50,490] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.8919598Z 3372 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.8919689Z 2 LOAD_ATTR 1 (tensor) 2022-11-23T01:37:54.8919694Z 2022-11-23T01:37:54.8919783Z 3373 4 LOAD_CONST 1 (1) 2022-11-23T01:37:54.8919874Z 6 LOAD_GLOBAL 2 (float) 2022-11-23T01:37:54.8920004Z 8 LOAD_CONST 2 ('inf') 2022-11-23T01:37:54.8920095Z 10 CALL_FUNCTION 1 2022-11-23T01:37:54.8920185Z 12 LOAD_CONST 3 (2) 2022-11-23T01:37:54.8920279Z 14 LOAD_GLOBAL 2 (float) 2022-11-23T01:37:54.8920420Z 16 LOAD_CONST 4 ('-inf') 2022-11-23T01:37:54.8920509Z 18 CALL_FUNCTION 1 2022-11-23T01:37:54.8920601Z 20 LOAD_GLOBAL 2 (float) 2022-11-23T01:37:54.8920726Z 22 LOAD_CONST 5 ('nan') 2022-11-23T01:37:54.8920815Z 24 CALL_FUNCTION 1 2022-11-23T01:37:54.8920902Z 26 BUILD_LIST 5 2022-11-23T01:37:54.8920994Z 28 LOAD_DEREF 0 (self) 2022-11-23T01:37:54.8921086Z 30 LOAD_ATTR 3 (device) 2022-11-23T01:37:54.8921237Z 32 LOAD_CONST 6 (('device',)) 2022-11-23T01:37:54.8921329Z 34 CALL_FUNCTION_KW 2 2022-11-23T01:37:54.8921407Z 36 STORE_FAST 1 (y) 2022-11-23T01:37:54.8921423Z 2022-11-23T01:37:54.8921499Z 3375 38 LOAD_FAST 0 (x) 2022-11-23T01:37:54.8921585Z 40 LOAD_FAST 1 (y) 2022-11-23T01:37:54.8921678Z 42 COMPARE_OP 2 (==) 2022-11-23T01:37:54.8921755Z 44 RETURN_VALUE 2022-11-23T01:37:54.8921814Z 2022-11-23T01:37:54.8921819Z 2022-11-23T01:37:54.8922091Z [2022-11-23 01:32:50,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3372 2022-11-23T01:37:54.8922316Z [2022-11-23 01:32:50,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.8922685Z [2022-11-23 01:32:50,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable()] 2022-11-23T01:37:54.8922974Z [2022-11-23 01:32:50,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3373 2022-11-23T01:37:54.8923304Z [2022-11-23 01:32:50,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable()] 2022-11-23T01:37:54.8923671Z [2022-11-23 01:32:50,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TorchVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8924072Z [2022-11-23 01:32:50,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST inf [TorchVariable(), ConstantVariable(int), BuiltinVariable(float)] 2022-11-23T01:37:54.8924552Z [2022-11-23 01:32:50,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), ConstantVariable(int), BuiltinVariable(float), ConstantVariable(str)] 2022-11-23T01:37:54.8924954Z [2022-11-23 01:32:50,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(), ConstantVariable(int), ConstantVariable(float)] 2022-11-23T01:37:54.8925399Z [2022-11-23 01:32:50,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TorchVariable(), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int)] 2022-11-23T01:37:54.8925883Z [2022-11-23 01:32:50,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -inf [TorchVariable(), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), BuiltinVariable(float)] 2022-11-23T01:37:54.8926403Z [2022-11-23 01:32:50,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), BuiltinVariable(float), ConstantVariable(str)] 2022-11-23T01:37:54.8926888Z [2022-11-23 01:32:50,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL float [TorchVariable(), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), ConstantVariable(float)] 2022-11-23T01:37:54.8927405Z [2022-11-23 01:32:50,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST nan [TorchVariable(), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), ConstantVariable(float), BuiltinVariable(float)] 2022-11-23T01:37:54.8927964Z [2022-11-23 01:32:50,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), ConstantVariable(float), BuiltinVariable(float), ConstantVariable(str)] 2022-11-23T01:37:54.8928483Z [2022-11-23 01:32:50,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 5 [TorchVariable(), ConstantVariable(int), ConstantVariable(float), ConstantVariable(int), ConstantVariable(float), ConstantVariable(float)] 2022-11-23T01:37:54.8928832Z [2022-11-23 01:32:50,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF self [TorchVariable(), ListVariable()] 2022-11-23T01:37:54.8929254Z [2022-11-23 01:32:50,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(), ListVariable(), UserDefinedObjectVariable(CpuTests)] 2022-11-23T01:37:54.8929655Z [2022-11-23 01:32:50,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(), ListVariable(), ConstantVariable(str)] 2022-11-23T01:37:54.8930150Z [2022-11-23 01:32:50,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(), ListVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:37:54.8930394Z [2022-11-23 01:32:50,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST y [TensorVariable()] 2022-11-23T01:37:54.8930652Z [2022-11-23 01:32:50,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3375 2022-11-23T01:37:54.8930864Z [2022-11-23 01:32:50,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.8931140Z [2022-11-23 01:32:50,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:37:54.8931411Z [2022-11-23 01:32:50,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP == [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8931659Z [2022-11-23 01:32:50,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.8931992Z [2022-11-23 01:32:50,495] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.8932239Z [2022-11-23 01:32:50,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.8932477Z [2022-11-23 01:32:50,495] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.8932736Z [2022-11-23 01:32:50,497] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.8932981Z [2022-11-23 01:32:50,500] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.8933171Z [2022-11-23 01:32:50,500] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.8933307Z __compiled_fn_216 .1742 opcode, name, target, args, kwargs 2022-11-23T01:37:54.8933397Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.8933676Z call_function, tensor, , ([1, inf, 2, -inf, nan],), {'device': 'cpu'} 2022-11-23T01:37:54.8933854Z call_function, eq, , (ex_0_, tensor), {} 2022-11-23T01:37:54.8933949Z output, output, output, ((eq,),), {} 2022-11-23T01:37:54.8933954Z 2022-11-23T01:37:54.8934230Z [2022-11-23 01:32:50,501] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8934324Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.8934402Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8934497Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.8934584Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.8934659Z 8 RETURN_VALUE 2022-11-23T01:37:54.8934665Z 2022-11-23T01:37:54.8934725Z 2022-11-23T01:37:54.8935003Z [2022-11-23 01:32:50,501] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8935110Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_216) 2022-11-23T01:37:54.8935189Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8935278Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8935353Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.8935439Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.8935543Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8935668Z 12 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:54.8935765Z 14 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:54.8935851Z 16 CALL_FUNCTION 0 2022-11-23T01:37:54.8935935Z 18 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:54.8936036Z 20 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8936150Z 22 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8936228Z 24 BINARY_SUBSCR 2022-11-23T01:37:54.8936319Z 26 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.8936416Z 28 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:54.8936503Z 30 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8936566Z 32 BINARY_SUBSCR 2022-11-23T01:37:54.8936669Z 34 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:54.8936757Z 36 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.8936852Z 38 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:54.8936968Z 40 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8937041Z 42 BINARY_SUBSCR 2022-11-23T01:37:54.8937142Z 44 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:54.8937204Z 46 RETURN_VALUE 2022-11-23T01:37:54.8937210Z 2022-11-23T01:37:54.8937269Z 2022-11-23T01:37:54.8937460Z [2022-11-23 01:32:50,502] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.8937534Z - 2022-11-23T01:37:54.8937655Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.8937718Z { 2022-11-23T01:37:54.8937862Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.8938039Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.8938162Z 'obj_weakref': None 2022-11-23T01:37:54.8938387Z 'guarded_class': 2022-11-23T01:37:54.8938452Z } 2022-11-23T01:37:54.8938518Z 2022-11-23T01:37:54.8938589Z - 2022-11-23T01:37:54.8938715Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.8938923Z { 2022-11-23T01:37:54.8939145Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8939261Z 'code': None, 2022-11-23T01:37:54.8939481Z 'obj_weakref': 2022-11-23T01:37:54.8939742Z 'guarded_class': 2022-11-23T01:37:54.8939808Z } 2022-11-23T01:37:54.8939870Z 2022-11-23T01:37:54.8939928Z - 2022-11-23T01:37:54.8940061Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.8940124Z { 2022-11-23T01:37:54.8940260Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.8940432Z 'code': ['___check_obj_id(model, 140538744908832)'], 2022-11-23T01:37:54.8940553Z 'obj_weakref': None 2022-11-23T01:37:54.8940789Z 'guarded_class': 2022-11-23T01:37:54.8940839Z } 2022-11-23T01:37:54.8940901Z 2022-11-23T01:37:54.8940975Z - 2022-11-23T01:37:54.8941098Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.8941161Z { 2022-11-23T01:37:54.8941300Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.8941517Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.8941627Z 'obj_weakref': None 2022-11-23T01:37:54.8941849Z 'guarded_class': 2022-11-23T01:37:54.8941911Z } 2022-11-23T01:37:54.8941973Z 2022-11-23T01:37:54.8942042Z - 2022-11-23T01:37:54.8942219Z local 'model.__closure__[0].cell_contents' TYPE_MATCH 2022-11-23T01:37:54.8942281Z { 2022-11-23T01:37:54.8942412Z 'guard_types': ['TYPE_MATCH'], 2022-11-23T01:37:54.8942628Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93851493874160)'], 2022-11-23T01:37:54.8942850Z 'obj_weakref': 2022-11-23T01:37:54.8943135Z 'guarded_class': 2022-11-23T01:37:54.8943202Z } 2022-11-23T01:37:54.8943264Z 2022-11-23T01:37:54.8943335Z - 2022-11-23T01:37:54.8943535Z local 'model.__closure__[0].cell_contents.device' CONSTANT_MATCH 2022-11-23T01:37:54.8943587Z { 2022-11-23T01:37:54.8943730Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:54.8944042Z 'code': ['___check_type_id(model.__closure__[0].cell_contents.device, 93851402519360)', "model.__closure__[0].cell_contents.device == 'cpu'"], 2022-11-23T01:37:54.8944164Z 'obj_weakref': None 2022-11-23T01:37:54.8944430Z 'guarded_class': 2022-11-23T01:37:54.8944494Z } 2022-11-23T01:37:54.8944556Z 2022-11-23T01:37:54.8944613Z - 2022-11-23T01:37:54.8944746Z global 'float' BUILTIN_MATCH 2022-11-23T01:37:54.8944810Z { 2022-11-23T01:37:54.8944935Z 'guard_types': None, 2022-11-23T01:37:54.8945046Z 'code': None, 2022-11-23T01:37:54.8945166Z 'obj_weakref': None 2022-11-23T01:37:54.8945288Z 'guarded_class': None 2022-11-23T01:37:54.8945338Z } 2022-11-23T01:37:54.8945401Z 2022-11-23T01:37:54.8945470Z - 2022-11-23T01:37:54.8945604Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.8945666Z { 2022-11-23T01:37:54.8945785Z 'guard_types': None, 2022-11-23T01:37:54.8945881Z 'code': None, 2022-11-23T01:37:54.8946003Z 'obj_weakref': None 2022-11-23T01:37:54.8946123Z 'guarded_class': None 2022-11-23T01:37:54.8946185Z } 2022-11-23T01:37:54.8946245Z 2022-11-23T01:37:54.8946508Z [2022-11-23 01:32:50,508] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 209 2022-11-23T01:37:54.8946886Z [2022-11-23 01:32:51,892] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yp/cypsk6j7eqnvtawwxzxrv5vxcqlu3kdpbxsvl7coiwybt2xndcwq.py 2022-11-23T01:37:54.8947154Z [2022-11-23 01:32:51,893] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 209 2022-11-23T01:37:54.8947160Z 2022-11-23T01:37:54.8947240Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.8947306Z import torch 2022-11-23T01:37:54.8947373Z import random 2022-11-23T01:37:54.8947484Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.8947606Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.8947614Z 2022-11-23T01:37:54.8947690Z aten = torch.ops.aten 2022-11-23T01:37:54.8947824Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.8947904Z async_compile = AsyncCompile() 2022-11-23T01:37:54.8947920Z 2022-11-23T01:37:54.8947925Z 2022-11-23T01:37:54.8948047Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.8948337Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.8948463Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.8948560Z bool* __restrict__ out_ptr0) 2022-11-23T01:37:54.8948621Z { 2022-11-23T01:37:54.8948697Z #pragma GCC ivdep 2022-11-23T01:37:54.8948776Z for(long i0=0; i0<5; i0+=1) 2022-11-23T01:37:54.8948824Z { 2022-11-23T01:37:54.8948886Z { 2022-11-23T01:37:54.8948948Z { 2022-11-23T01:37:54.8949040Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.8949141Z auto tmp1 = static_cast(i0); 2022-11-23T01:37:54.8949243Z auto tmp2 = static_cast(2); 2022-11-23T01:37:54.8949333Z auto tmp3 = tmp1 < tmp2; 2022-11-23T01:37:54.8949417Z auto tmp4 = static_cast(1); 2022-11-23T01:37:54.8949503Z auto tmp5 = tmp1 < tmp4; 2022-11-23T01:37:54.8949609Z auto tmp6 = static_cast(1.0); 2022-11-23T01:37:54.8949789Z auto tmp7 = std::numeric_limits::infinity(); 2022-11-23T01:37:54.8949889Z auto tmp8 = tmp5 ? tmp6 : tmp7; 2022-11-23T01:37:54.8949988Z auto tmp9 = static_cast(3); 2022-11-23T01:37:54.8950080Z auto tmp10 = tmp1 < tmp9; 2022-11-23T01:37:54.8950171Z auto tmp11 = static_cast(2.0); 2022-11-23T01:37:54.8950271Z auto tmp12 = static_cast(4); 2022-11-23T01:37:54.8950361Z auto tmp13 = tmp1 < tmp12; 2022-11-23T01:37:54.8950610Z auto tmp14 = -std::numeric_limits::infinity(); 2022-11-23T01:37:54.8950773Z auto tmp15 = std::numeric_limits::quiet_NaN(); 2022-11-23T01:37:54.8950874Z auto tmp16 = tmp13 ? tmp14 : tmp15; 2022-11-23T01:37:54.8950970Z auto tmp17 = tmp10 ? tmp11 : tmp16; 2022-11-23T01:37:54.8951067Z auto tmp18 = tmp3 ? tmp8 : tmp17; 2022-11-23T01:37:54.8951147Z auto tmp19 = tmp0 == tmp18; 2022-11-23T01:37:54.8951230Z out_ptr0[i0] = tmp19; 2022-11-23T01:37:54.8951296Z } 2022-11-23T01:37:54.8951364Z } 2022-11-23T01:37:54.8951426Z } 2022-11-23T01:37:54.8951487Z } 2022-11-23T01:37:54.8951556Z ''') 2022-11-23T01:37:54.8951577Z 2022-11-23T01:37:54.8951581Z 2022-11-23T01:37:54.8951657Z async_compile.wait(globals()) 2022-11-23T01:37:54.8951730Z del async_compile 2022-11-23T01:37:54.8951735Z 2022-11-23T01:37:54.8951805Z def call(args): 2022-11-23T01:37:54.8951876Z arg0_1, = args 2022-11-23T01:37:54.8951949Z args.clear() 2022-11-23T01:37:54.8952145Z buf0 = empty_strided((5, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.8952284Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:54.8952339Z del arg0_1 2022-11-23T01:37:54.8952411Z return (buf0, ) 2022-11-23T01:37:54.8952416Z 2022-11-23T01:37:54.8952420Z 2022-11-23T01:37:54.8952499Z if __name__ == "__main__": 2022-11-23T01:37:54.8952617Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.8952740Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.8952938Z arg0_1 = rand_strided((5, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8953051Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.8953056Z 2022-11-23T01:37:54.8953124Z ok (1.411s) 2022-11-23T01:37:54.8953415Z test_isinf_cpu (__main__.CpuTests) ... [2022-11-23 01:32:51,900] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.8953694Z [2022-11-23 01:32:51,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.8953919Z [2022-11-23 01:32:51,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.8954180Z [2022-11-23 01:32:51,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.8954473Z [2022-11-23 01:32:51,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.8954802Z [2022-11-23 01:32:51,900] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.8955131Z [2022-11-23 01:32:51,900] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.8955226Z 3355 0 LOAD_FAST 0 (x) 2022-11-23T01:37:54.8955325Z 2 LOAD_METHOD 0 (isinf) 2022-11-23T01:37:54.8955401Z 4 CALL_METHOD 0 2022-11-23T01:37:54.8955489Z 6 LOAD_FAST 0 (x) 2022-11-23T01:37:54.8955582Z 8 LOAD_METHOD 1 (isnan) 2022-11-23T01:37:54.8955671Z 10 CALL_METHOD 0 2022-11-23T01:37:54.8955788Z 12 BUILD_TUPLE 2 2022-11-23T01:37:54.8955866Z 14 RETURN_VALUE 2022-11-23T01:37:54.8955927Z 2022-11-23T01:37:54.8955932Z 2022-11-23T01:37:54.8956202Z [2022-11-23 01:32:51,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3355 2022-11-23T01:37:54.8956400Z [2022-11-23 01:32:51,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.8956645Z [2022-11-23 01:32:51,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable()] 2022-11-23T01:37:54.8956932Z [2022-11-23 01:32:51,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), isinf)] 2022-11-23T01:37:54.8957220Z [2022-11-23 01:32:51,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()] 2022-11-23T01:37:54.8957493Z [2022-11-23 01:32:51,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isnan [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8957810Z [2022-11-23 01:32:51,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), isnan)] 2022-11-23T01:37:54.8958083Z [2022-11-23 01:32:51,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8958331Z [2022-11-23 01:32:51,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.8958663Z [2022-11-23 01:32:51,904] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.8958902Z [2022-11-23 01:32:51,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.8959141Z [2022-11-23 01:32:51,904] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.8959399Z [2022-11-23 01:32:51,906] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.8959650Z [2022-11-23 01:32:51,909] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.8959841Z [2022-11-23 01:32:51,909] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.8959978Z __compiled_fn_217 .1748 opcode, name, target, args, kwargs 2022-11-23T01:37:54.8960067Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.8960163Z call_method, isinf, isinf, (ex_0_,), {} 2022-11-23T01:37:54.8960254Z call_method, isnan, isnan, (ex_0_,), {} 2022-11-23T01:37:54.8960349Z output, output, output, ((isinf, isnan),), {} 2022-11-23T01:37:54.8960356Z 2022-11-23T01:37:54.8960634Z [2022-11-23 01:32:51,910] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8960727Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.8960817Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8960910Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.8961001Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.8961076Z 8 RETURN_VALUE 2022-11-23T01:37:54.8961081Z 2022-11-23T01:37:54.8961128Z 2022-11-23T01:37:54.8961405Z [2022-11-23 01:32:51,910] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8961512Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_217) 2022-11-23T01:37:54.8961601Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8961689Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8961766Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.8961853Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.8961958Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8962046Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8962133Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8962240Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.8962344Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8962429Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:54.8962504Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.8962589Z 24 BUILD_TUPLE 2 2022-11-23T01:37:54.8962651Z 26 RETURN_VALUE 2022-11-23T01:37:54.8962656Z 2022-11-23T01:37:54.8962715Z 2022-11-23T01:37:54.8962899Z [2022-11-23 01:32:51,910] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.8962970Z - 2022-11-23T01:37:54.8963125Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.8963188Z { 2022-11-23T01:37:54.8963331Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.8963506Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.8963628Z 'obj_weakref': None 2022-11-23T01:37:54.8963858Z 'guarded_class': 2022-11-23T01:37:54.8963921Z } 2022-11-23T01:37:54.8963983Z 2022-11-23T01:37:54.8964053Z - 2022-11-23T01:37:54.8964178Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.8964229Z { 2022-11-23T01:37:54.8964373Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8964486Z 'code': None, 2022-11-23T01:37:54.8964704Z 'obj_weakref': 2022-11-23T01:37:54.8964959Z 'guarded_class': 2022-11-23T01:37:54.8965026Z } 2022-11-23T01:37:54.8965087Z 2022-11-23T01:37:54.8965145Z - 2022-11-23T01:37:54.8965276Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.8965338Z { 2022-11-23T01:37:54.8965473Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.8965646Z 'code': ['___check_obj_id(model, 140539049116592)'], 2022-11-23T01:37:54.8965767Z 'obj_weakref': None 2022-11-23T01:37:54.8966001Z 'guarded_class': 2022-11-23T01:37:54.8966052Z } 2022-11-23T01:37:54.8966113Z 2022-11-23T01:37:54.8966183Z - 2022-11-23T01:37:54.8966305Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.8966366Z { 2022-11-23T01:37:54.8966502Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.8966721Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.8966832Z 'obj_weakref': None 2022-11-23T01:37:54.8967055Z 'guarded_class': 2022-11-23T01:37:54.8967117Z } 2022-11-23T01:37:54.8967181Z 2022-11-23T01:37:54.8967443Z [2022-11-23 01:32:51,916] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 210 2022-11-23T01:37:54.8967820Z [2022-11-23 01:32:53,281] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rc/crcavuoitozqy4hynlcjkxtejjaz655iss2z76m7sjlon3asnrty.py 2022-11-23T01:37:54.8968086Z [2022-11-23 01:32:53,282] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 210 2022-11-23T01:37:54.8968327Z [2022-11-23 01:32:53,287] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.8968584Z [2022-11-23 01:32:53,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.8968806Z [2022-11-23 01:32:53,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.8969059Z [2022-11-23 01:32:53,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.8969376Z [2022-11-23 01:32:53,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.8969704Z [2022-11-23 01:32:53,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.8970031Z [2022-11-23 01:32:53,288] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.8970124Z 3355 0 LOAD_FAST 0 (x) 2022-11-23T01:37:54.8970218Z 2 LOAD_METHOD 0 (isinf) 2022-11-23T01:37:54.8970345Z 4 CALL_METHOD 0 2022-11-23T01:37:54.8970423Z 6 LOAD_FAST 0 (x) 2022-11-23T01:37:54.8970515Z 8 LOAD_METHOD 1 (isnan) 2022-11-23T01:37:54.8970600Z 10 CALL_METHOD 0 2022-11-23T01:37:54.8970687Z 12 BUILD_TUPLE 2 2022-11-23T01:37:54.8970763Z 14 RETURN_VALUE 2022-11-23T01:37:54.8970822Z 2022-11-23T01:37:54.8970827Z 2022-11-23T01:37:54.8971098Z [2022-11-23 01:32:53,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3355 2022-11-23T01:37:54.8971310Z [2022-11-23 01:32:53,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.8971544Z [2022-11-23 01:32:53,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isinf [TensorVariable()] 2022-11-23T01:37:54.8971824Z [2022-11-23 01:32:53,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), isinf)] 2022-11-23T01:37:54.8972066Z [2022-11-23 01:32:53,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()] 2022-11-23T01:37:54.8972342Z [2022-11-23 01:32:53,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR isnan [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8972658Z [2022-11-23 01:32:53,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), isnan)] 2022-11-23T01:37:54.8972929Z [2022-11-23 01:32:53,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.8973175Z [2022-11-23 01:32:53,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.8973506Z [2022-11-23 01:32:53,291] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.8973753Z [2022-11-23 01:32:53,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.8973992Z [2022-11-23 01:32:53,291] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.8974235Z [2022-11-23 01:32:53,292] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.8974486Z [2022-11-23 01:32:53,296] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.8974676Z [2022-11-23 01:32:53,296] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.8974808Z __compiled_fn_218 .1754 opcode, name, target, args, kwargs 2022-11-23T01:37:54.8974896Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.8974989Z call_method, isinf, isinf, (ex_0_,), {} 2022-11-23T01:37:54.8975080Z call_method, isnan, isnan, (ex_0_,), {} 2022-11-23T01:37:54.8975174Z output, output, output, ((isinf, isnan),), {} 2022-11-23T01:37:54.8975196Z 2022-11-23T01:37:54.8975461Z [2022-11-23 01:32:53,297] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8975555Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.8975645Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8975735Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.8975852Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.8975930Z 8 RETURN_VALUE 2022-11-23T01:37:54.8975936Z 2022-11-23T01:37:54.8975994Z 2022-11-23T01:37:54.8976256Z [2022-11-23 01:32:53,297] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.8976365Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_218) 2022-11-23T01:37:54.8976455Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.8976541Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8976616Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.8976735Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.8976837Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8976938Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8977014Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.8977088Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.8977189Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.8977275Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:54.8977348Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.8977433Z 24 BUILD_TUPLE 2 2022-11-23T01:37:54.8977512Z 26 RETURN_VALUE 2022-11-23T01:37:54.8977517Z 2022-11-23T01:37:54.8977564Z 2022-11-23T01:37:54.8977749Z [2022-11-23 01:32:53,297] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.8977819Z - 2022-11-23T01:37:54.8977939Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.8978006Z { 2022-11-23T01:37:54.8978148Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.8978336Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.8978446Z 'obj_weakref': None 2022-11-23T01:37:54.8978672Z 'guarded_class': 2022-11-23T01:37:54.8978873Z } 2022-11-23T01:37:54.8978973Z 2022-11-23T01:37:54.8979096Z - 2022-11-23T01:37:54.8979236Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.8979299Z { 2022-11-23T01:37:54.8979430Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.8979538Z 'code': None, 2022-11-23T01:37:54.8979754Z 'obj_weakref': 2022-11-23T01:37:54.8980011Z 'guarded_class': 2022-11-23T01:37:54.8980078Z } 2022-11-23T01:37:54.8980141Z 2022-11-23T01:37:54.8980212Z - 2022-11-23T01:37:54.8980330Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.8980398Z { 2022-11-23T01:37:54.8980534Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.8980710Z 'code': ['___check_obj_id(model, 140539049116592)'], 2022-11-23T01:37:54.8980832Z 'obj_weakref': None 2022-11-23T01:37:54.8981065Z 'guarded_class': 2022-11-23T01:37:54.8981129Z } 2022-11-23T01:37:54.8981179Z 2022-11-23T01:37:54.8981248Z - 2022-11-23T01:37:54.8981372Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.8981436Z { 2022-11-23T01:37:54.8981573Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.8981793Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.8981919Z 'obj_weakref': None 2022-11-23T01:37:54.8982128Z 'guarded_class': 2022-11-23T01:37:54.8982192Z } 2022-11-23T01:37:54.8982254Z 2022-11-23T01:37:54.8982577Z [2022-11-23 01:32:53,303] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 211 2022-11-23T01:37:54.8982956Z [2022-11-23 01:32:54,674] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/a7/ca7n5hynogyzlkowfiicdwg4lagmssggiq4i74ujd6rsojj3rj5o.py 2022-11-23T01:37:54.8983225Z [2022-11-23 01:32:54,674] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 211 2022-11-23T01:37:54.8983231Z 2022-11-23T01:37:54.8983327Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.8983396Z import torch 2022-11-23T01:37:54.8983452Z import random 2022-11-23T01:37:54.8983567Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.8983732Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.8983737Z 2022-11-23T01:37:54.8983816Z aten = torch.ops.aten 2022-11-23T01:37:54.8983951Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.8984043Z async_compile = AsyncCompile() 2022-11-23T01:37:54.8984048Z 2022-11-23T01:37:54.8984052Z 2022-11-23T01:37:54.8984190Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.8984398Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.8984505Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.8984601Z bool* __restrict__ out_ptr0, 2022-11-23T01:37:54.8984693Z bool* __restrict__ out_ptr1) 2022-11-23T01:37:54.8984752Z { 2022-11-23T01:37:54.8984827Z #pragma GCC ivdep 2022-11-23T01:37:54.8984906Z for(long i0=0; i0<5; i0+=1) 2022-11-23T01:37:54.8984966Z { 2022-11-23T01:37:54.8985018Z { 2022-11-23T01:37:54.8985080Z { 2022-11-23T01:37:54.8985168Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.8985278Z auto tmp1 = std::isinf(tmp0); 2022-11-23T01:37:54.8985374Z auto tmp2 = std::isnan(tmp0); 2022-11-23T01:37:54.8985456Z out_ptr0[i0] = tmp1; 2022-11-23T01:37:54.8985535Z out_ptr1[i0] = tmp2; 2022-11-23T01:37:54.8985586Z } 2022-11-23T01:37:54.8985646Z } 2022-11-23T01:37:54.8985705Z } 2022-11-23T01:37:54.8985763Z } 2022-11-23T01:37:54.8985842Z ''') 2022-11-23T01:37:54.8985848Z 2022-11-23T01:37:54.8985852Z 2022-11-23T01:37:54.8985938Z async_compile.wait(globals()) 2022-11-23T01:37:54.8986009Z del async_compile 2022-11-23T01:37:54.8986014Z 2022-11-23T01:37:54.8986071Z def call(args): 2022-11-23T01:37:54.8986137Z arg0_1, = args 2022-11-23T01:37:54.8986207Z args.clear() 2022-11-23T01:37:54.8986397Z buf0 = empty_strided((5, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.8986586Z buf1 = empty_strided((5, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.8986749Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:54.8986817Z del arg0_1 2022-11-23T01:37:54.8986881Z return (buf0, buf1, ) 2022-11-23T01:37:54.8986897Z 2022-11-23T01:37:54.8986901Z 2022-11-23T01:37:54.8986967Z if __name__ == "__main__": 2022-11-23T01:37:54.8987078Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.8987199Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.8987392Z arg0_1 = rand_strided((5, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.8987498Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.8987503Z 2022-11-23T01:37:54.8987507Z 2022-11-23T01:37:54.8987599Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.8987667Z import torch 2022-11-23T01:37:54.8987724Z import random 2022-11-23T01:37:54.8987841Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.8987958Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.8987963Z 2022-11-23T01:37:54.8988041Z aten = torch.ops.aten 2022-11-23T01:37:54.8988253Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.8988349Z async_compile = AsyncCompile() 2022-11-23T01:37:54.8988354Z 2022-11-23T01:37:54.8988397Z 2022-11-23T01:37:54.8988540Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.8988747Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.8988867Z extern "C" void kernel(const double* __restrict__ in_ptr0, 2022-11-23T01:37:54.8988950Z bool* __restrict__ out_ptr0, 2022-11-23T01:37:54.8989045Z bool* __restrict__ out_ptr1) 2022-11-23T01:37:54.8989108Z { 2022-11-23T01:37:54.8989184Z #pragma GCC ivdep 2022-11-23T01:37:54.8989266Z for(long i0=0; i0<5; i0+=1) 2022-11-23T01:37:54.8989362Z { 2022-11-23T01:37:54.8989412Z { 2022-11-23T01:37:54.8989474Z { 2022-11-23T01:37:54.8989565Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.8989670Z auto tmp1 = std::isinf(tmp0); 2022-11-23T01:37:54.8989770Z auto tmp2 = std::isnan(tmp0); 2022-11-23T01:37:54.8989854Z out_ptr0[i0] = tmp1; 2022-11-23T01:37:54.8989937Z out_ptr1[i0] = tmp2; 2022-11-23T01:37:54.8989988Z } 2022-11-23T01:37:54.8990055Z } 2022-11-23T01:37:54.8990116Z } 2022-11-23T01:37:54.8990176Z } 2022-11-23T01:37:54.8990257Z ''') 2022-11-23T01:37:54.8990263Z 2022-11-23T01:37:54.8990267Z 2022-11-23T01:37:54.8990359Z async_compile.wait(globals()) 2022-11-23T01:37:54.8990433Z del async_compile 2022-11-23T01:37:54.8990438Z 2022-11-23T01:37:54.8990509Z def call(args): 2022-11-23T01:37:54.8990566Z arg0_1, = args 2022-11-23T01:37:54.8990638Z args.clear() 2022-11-23T01:37:54.8990830Z buf0 = empty_strided((5, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.8991023Z buf1 = empty_strided((5, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.8991188Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:54.8991257Z del arg0_1 2022-11-23T01:37:54.8991338Z return (buf0, buf1, ) 2022-11-23T01:37:54.8991346Z 2022-11-23T01:37:54.8991350Z 2022-11-23T01:37:54.8991413Z if __name__ == "__main__": 2022-11-23T01:37:54.8991529Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.8991651Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.8991847Z arg0_1 = rand_strided((5, ), (1, ), device='cpu', dtype=torch.float64) 2022-11-23T01:37:54.8991955Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.8991960Z 2022-11-23T01:37:54.8992027Z ok (2.781s) 2022-11-23T01:37:54.8992340Z test_kwargs_cpu (__main__.CpuTests) ... [2022-11-23 01:32:54,682] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.8992620Z [2022-11-23 01:32:54,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.8992829Z [2022-11-23 01:32:54,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.8993092Z [2022-11-23 01:32:54,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.8993382Z [2022-11-23 01:32:54,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.8993711Z [2022-11-23 01:32:54,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.8994046Z [2022-11-23 01:32:54,683] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.8994146Z 4624 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.8994250Z 2 LOAD_ATTR 1 (histogramdd) 2022-11-23T01:37:54.8994255Z 2022-11-23T01:37:54.8994347Z 4625 4 LOAD_FAST 0 (x) 2022-11-23T01:37:54.8994351Z 2022-11-23T01:37:54.8994444Z 4626 6 LOAD_CONST 1 (3) 2022-11-23T01:37:54.8994569Z 8 LOAD_CONST 1 (3) 2022-11-23T01:37:54.8994647Z 10 BUILD_LIST 2 2022-11-23T01:37:54.8994651Z 2022-11-23T01:37:54.8994740Z 4627 12 LOAD_FAST 1 (y) 2022-11-23T01:37:54.8994911Z 14 LOAD_CONST 2 (('bins', 'weight')) 2022-11-23T01:37:54.8995004Z 16 CALL_FUNCTION_KW 3 2022-11-23T01:37:54.8995079Z 18 RETURN_VALUE 2022-11-23T01:37:54.8995141Z 2022-11-23T01:37:54.8995146Z 2022-11-23T01:37:54.8995420Z [2022-11-23 01:32:54,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4624 2022-11-23T01:37:54.8995679Z [2022-11-23 01:32:54,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.8996049Z [2022-11-23 01:32:54,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR histogramdd [TorchVariable()] 2022-11-23T01:37:54.8996323Z [2022-11-23 01:32:54,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4625 2022-11-23T01:37:54.8996657Z [2022-11-23 01:32:54,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:37:54.8996925Z [2022-11-23 01:32:54,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4626 2022-11-23T01:37:54.8997289Z [2022-11-23 01:32:54,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.8997695Z [2022-11-23 01:32:54,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.8998138Z [2022-11-23 01:32:54,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:54.8998406Z [2022-11-23 01:32:54,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4627 2022-11-23T01:37:54.8998792Z [2022-11-23 01:32:54,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:37:54.8999231Z [2022-11-23 01:32:54,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('bins', 'weight') [TorchVariable(), TensorVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:37:54.8999703Z [2022-11-23 01:32:54,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(), TensorVariable(), ListVariable(), TensorVariable(), ConstantVariable(tuple)] 2022-11-23T01:37:54.8999967Z [2022-11-23 01:32:54,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()] 2022-11-23T01:37:54.9000300Z [2022-11-23 01:32:54,688] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.9000547Z [2022-11-23 01:32:54,688] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()] 2022-11-23T01:37:54.9000780Z [2022-11-23 01:32:54,688] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.9001039Z [2022-11-23 01:32:54,690] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.9001292Z [2022-11-23 01:32:54,708] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.9001512Z [2022-11-23 01:32:54,708] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.9001652Z __compiled_fn_219 .1760 opcode, name, target, args, kwargs 2022-11-23T01:37:54.9001742Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.9001828Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.9002111Z call_function, histogramdd, , (ex_0_,), {'bins': [3, 3], 'weight': ex_1_} 2022-11-23T01:37:54.9002313Z call_function, getitem, , (histogramdd, 0), {} 2022-11-23T01:37:54.9002517Z call_function, getitem_1, , (histogramdd, 1), {} 2022-11-23T01:37:54.9002761Z call_function, getitem_2, , (getitem_1, 0), {} 2022-11-23T01:37:54.9002958Z call_function, getitem_3, , (getitem_1, 1), {} 2022-11-23T01:37:54.9003082Z output, output, output, ((getitem, getitem_2, getitem_3),), {} 2022-11-23T01:37:54.9003088Z 2022-11-23T01:37:54.9003371Z [2022-11-23 01:32:54,708] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9003467Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.9003547Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9003637Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.9003724Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.9003801Z 8 RETURN_VALUE 2022-11-23T01:37:54.9003807Z 2022-11-23T01:37:54.9003865Z 2022-11-23T01:37:54.9004141Z [2022-11-23 01:32:54,709] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9004251Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_219) 2022-11-23T01:37:54.9004340Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9004417Z 4 LOAD_CONST 2 (0) 2022-11-23T01:37:54.9004493Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.9004583Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9004672Z 10 LOAD_CONST 3 (1) 2022-11-23T01:37:54.9004746Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.9004832Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.9004937Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.9005133Z 18 LOAD_CONST 1 () 2022-11-23T01:37:54.9005236Z 20 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.9005323Z 22 LOAD_CONST 2 (0) 2022-11-23T01:37:54.9005401Z 24 BINARY_SUBSCR 2022-11-23T01:37:54.9005506Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.9005592Z 28 LOAD_CONST 3 (1) 2022-11-23T01:37:54.9005666Z 30 BINARY_SUBSCR 2022-11-23T01:37:54.9005752Z 32 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.9005839Z 34 LOAD_CONST 4 (2) 2022-11-23T01:37:54.9005913Z 36 BINARY_SUBSCR 2022-11-23T01:37:54.9005999Z 38 BUILD_TUPLE 2 2022-11-23T01:37:54.9006084Z 40 BUILD_TUPLE 2 2022-11-23T01:37:54.9006170Z 42 CALL_FUNCTION 1 2022-11-23T01:37:54.9006244Z 44 RETURN_VALUE 2022-11-23T01:37:54.9006249Z 2022-11-23T01:37:54.9006308Z 2022-11-23T01:37:54.9006481Z [2022-11-23 01:32:54,709] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.9006552Z - 2022-11-23T01:37:54.9006672Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.9006738Z { 2022-11-23T01:37:54.9006879Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.9007067Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.9007192Z 'obj_weakref': None 2022-11-23T01:37:54.9007406Z 'guarded_class': 2022-11-23T01:37:54.9007499Z } 2022-11-23T01:37:54.9007566Z 2022-11-23T01:37:54.9007637Z - 2022-11-23T01:37:54.9007764Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.9007827Z { 2022-11-23T01:37:54.9007971Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9008068Z 'code': None, 2022-11-23T01:37:54.9008283Z 'obj_weakref': 2022-11-23T01:37:54.9008541Z 'guarded_class': 2022-11-23T01:37:54.9008641Z } 2022-11-23T01:37:54.9008704Z 2022-11-23T01:37:54.9008774Z - 2022-11-23T01:37:54.9008900Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.9008951Z { 2022-11-23T01:37:54.9009095Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9009205Z 'code': None, 2022-11-23T01:37:54.9009420Z 'obj_weakref': 2022-11-23T01:37:54.9009675Z 'guarded_class': 2022-11-23T01:37:54.9009737Z } 2022-11-23T01:37:54.9009797Z 2022-11-23T01:37:54.9009855Z - 2022-11-23T01:37:54.9009987Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.9010049Z { 2022-11-23T01:37:54.9010185Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.9010356Z 'code': ['___check_obj_id(model, 140538744672624)'], 2022-11-23T01:37:54.9010481Z 'obj_weakref': None 2022-11-23T01:37:54.9010713Z 'guarded_class': 2022-11-23T01:37:54.9010765Z } 2022-11-23T01:37:54.9010825Z 2022-11-23T01:37:54.9010894Z - 2022-11-23T01:37:54.9011014Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.9011079Z { 2022-11-23T01:37:54.9011216Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.9011433Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.9011541Z 'obj_weakref': None 2022-11-23T01:37:54.9011763Z 'guarded_class': 2022-11-23T01:37:54.9011828Z } 2022-11-23T01:37:54.9011890Z 2022-11-23T01:37:54.9011959Z - 2022-11-23T01:37:54.9012095Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.9012160Z { 2022-11-23T01:37:54.9012269Z 'guard_types': None, 2022-11-23T01:37:54.9012376Z 'code': None, 2022-11-23T01:37:54.9012496Z 'obj_weakref': None 2022-11-23T01:37:54.9012617Z 'guarded_class': None 2022-11-23T01:37:54.9012680Z } 2022-11-23T01:37:54.9012742Z 2022-11-23T01:37:54.9012992Z [2022-11-23 01:32:54,734] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 212 2022-11-23T01:37:54.9013219Z [2022-11-23 01:32:54,736] torch._inductor.graph: [WARNING] Creating implicit fallback for: 2022-11-23T01:37:54.9013329Z target: aten._histogramdd_bin_edges.default 2022-11-23T01:37:54.9013423Z args[0]: TensorBox(StorageBox( 2022-11-23T01:37:54.9013666Z InputBuffer(name='arg0_1', layout=FixedLayout('cpu', torch.float32, size=[4, 2], stride=[2, 1])) 2022-11-23T01:37:54.9013726Z )) 2022-11-23T01:37:54.9013793Z args[1]: [3, 3] 2022-11-23T01:37:54.9013940Z kwargs: {'weight': TensorBox(StorageBox( 2022-11-23T01:37:54.9014164Z InputBuffer(name='arg1_1', layout=FixedLayout('cpu', torch.float32, size=[4], stride=[1])) 2022-11-23T01:37:54.9014226Z ))} 2022-11-23T01:37:54.9014504Z [2022-11-23 01:32:54,743] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten._histogramdd_bin_edges.default 2022-11-23T01:37:54.9014762Z [2022-11-23 01:32:54,744] torch._inductor.graph: [WARNING] Creating implicit fallback for: 2022-11-23T01:37:54.9014874Z target: aten._histogramdd_from_bin_cts.default 2022-11-23T01:37:54.9014961Z args[0]: TensorBox(StorageBox( 2022-11-23T01:37:54.9015203Z InputBuffer(name='arg0_1', layout=FixedLayout('cpu', torch.float32, size=[4, 2], stride=[2, 1])) 2022-11-23T01:37:54.9015252Z )) 2022-11-23T01:37:54.9015318Z args[1]: [3, 3] 2022-11-23T01:37:54.9015462Z kwargs: {'weight': TensorBox(StorageBox( 2022-11-23T01:37:54.9015695Z InputBuffer(name='arg1_1', layout=FixedLayout('cpu', torch.float32, size=[4], stride=[1])) 2022-11-23T01:37:54.9015788Z ))} 2022-11-23T01:37:54.9016070Z [2022-11-23 01:32:54,751] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten._histogramdd_from_bin_cts.default 2022-11-23T01:37:54.9016447Z [2022-11-23 01:32:54,754] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yj/cyj2k5u3wllhqvofhcsxymbxgpjllqngqwqzuk2ta3vgsnjg3kwl.py 2022-11-23T01:37:54.9016717Z [2022-11-23 01:32:54,754] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 212 2022-11-23T01:37:54.9016723Z 2022-11-23T01:37:54.9016816Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.9016871Z import torch 2022-11-23T01:37:54.9016939Z import random 2022-11-23T01:37:54.9017053Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.9017173Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.9017179Z 2022-11-23T01:37:54.9017256Z aten = torch.ops.aten 2022-11-23T01:37:54.9017389Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.9017483Z async_compile = AsyncCompile() 2022-11-23T01:37:54.9017488Z 2022-11-23T01:37:54.9017492Z 2022-11-23T01:37:54.9017566Z async_compile.wait(globals()) 2022-11-23T01:37:54.9017637Z del async_compile 2022-11-23T01:37:54.9017642Z 2022-11-23T01:37:54.9017710Z def call(args): 2022-11-23T01:37:54.9017785Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.9017857Z args.clear() 2022-11-23T01:37:54.9018010Z buf0 = torch.ops.aten._histogramdd_bin_edges.default(arg0_1, [3, 3], weight=arg1_1) 2022-11-23T01:37:54.9018078Z buf1 = buf0[0] 2022-11-23T01:37:54.9018171Z assert_size_stride(buf1, (4, ), (1, )) 2022-11-23T01:37:54.9018226Z buf2 = buf0[1] 2022-11-23T01:37:54.9018317Z assert_size_stride(buf2, (4, ), (1, )) 2022-11-23T01:37:54.9018380Z del buf0 2022-11-23T01:37:54.9018531Z buf3 = torch.ops.aten._histogramdd_from_bin_cts.default(arg0_1, [3, 3], weight=arg1_1) 2022-11-23T01:37:54.9018597Z del arg0_1 2022-11-23T01:37:54.9018661Z del arg1_1 2022-11-23T01:37:54.9018718Z buf4 = buf3 2022-11-23T01:37:54.9019033Z assert_size_stride(buf4, (3, 3), (3, 1)) 2022-11-23T01:37:54.9019125Z del buf3 2022-11-23T01:37:54.9019214Z return (buf4, buf1, buf2, ) 2022-11-23T01:37:54.9019219Z 2022-11-23T01:37:54.9019223Z 2022-11-23T01:37:54.9019299Z if __name__ == "__main__": 2022-11-23T01:37:54.9019415Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.9019536Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.9019742Z arg0_1 = rand_strided((4, 2), (2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.9019928Z arg1_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.9020043Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.9020048Z 2022-11-23T01:37:54.9020114Z ok (0.079s) 2022-11-23T01:37:54.9020423Z test_l1_loss_cpu (__main__.CpuTests) ... [2022-11-23 01:32:54,759] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.9020701Z [2022-11-23 01:32:54,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.9020923Z [2022-11-23 01:32:54,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.9021244Z [2022-11-23 01:32:54,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.9021539Z [2022-11-23 01:32:54,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.9021866Z [2022-11-23 01:32:54,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.9022180Z [2022-11-23 01:32:54,759] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.9022279Z 3148 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.9022416Z 2 LOAD_ATTR 1 (nn) 2022-11-23T01:37:54.9022520Z 4 LOAD_ATTR 2 (functional) 2022-11-23T01:37:54.9022617Z 6 LOAD_METHOD 3 (l1_loss) 2022-11-23T01:37:54.9022707Z 8 LOAD_FAST 0 (a) 2022-11-23T01:37:54.9022798Z 10 LOAD_FAST 1 (b) 2022-11-23T01:37:54.9022888Z 12 CALL_METHOD 2 2022-11-23T01:37:54.9022968Z 14 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.9023056Z 16 LOAD_ATTR 1 (nn) 2022-11-23T01:37:54.9023156Z 18 LOAD_ATTR 2 (functional) 2022-11-23T01:37:54.9023251Z 20 LOAD_METHOD 4 (mse_loss) 2022-11-23T01:37:54.9023339Z 22 LOAD_FAST 0 (a) 2022-11-23T01:37:54.9023425Z 24 LOAD_FAST 1 (b) 2022-11-23T01:37:54.9023514Z 26 CALL_METHOD 2 2022-11-23T01:37:54.9023593Z 28 BUILD_TUPLE 2 2022-11-23T01:37:54.9023666Z 30 RETURN_VALUE 2022-11-23T01:37:54.9023726Z 2022-11-23T01:37:54.9023731Z 2022-11-23T01:37:54.9024007Z [2022-11-23 01:32:54,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3148 2022-11-23T01:37:54.9024233Z [2022-11-23 01:32:54,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.9024597Z [2022-11-23 01:32:54,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable()] 2022-11-23T01:37:54.9024983Z [2022-11-23 01:32:54,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable()] 2022-11-23T01:37:54.9025389Z [2022-11-23 01:32:54,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR l1_loss [TorchVariable()] 2022-11-23T01:37:54.9025686Z [2022-11-23 01:32:54,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:54.9026009Z [2022-11-23 01:32:54,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.9026349Z [2022-11-23 01:32:54,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9026601Z [2022-11-23 01:32:54,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:37:54.9026990Z [2022-11-23 01:32:54,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.9027408Z [2022-11-23 01:32:54,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.9027873Z [2022-11-23 01:32:54,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mse_loss [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.9028280Z [2022-11-23 01:32:54,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.9028633Z [2022-11-23 01:32:54,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.9029016Z [2022-11-23 01:32:54,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9029360Z [2022-11-23 01:32:54,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9029614Z [2022-11-23 01:32:54,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.9029946Z [2022-11-23 01:32:54,766] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.9030193Z [2022-11-23 01:32:54,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.9030419Z [2022-11-23 01:32:54,767] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.9030674Z [2022-11-23 01:32:54,768] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.9030931Z [2022-11-23 01:32:54,772] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.9031124Z [2022-11-23 01:32:54,773] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.9031258Z __compiled_fn_220 .1766 opcode, name, target, args, kwargs 2022-11-23T01:37:54.9031347Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.9031437Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.9031576Z call_function, l1_loss, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.9031703Z call_function, mse_loss, , (ex_0_, ex_1_), {} 2022-11-23T01:37:54.9031813Z output, output, output, ((l1_loss, mse_loss),), {} 2022-11-23T01:37:54.9031819Z 2022-11-23T01:37:54.9032098Z [2022-11-23 01:32:54,773] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9032192Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.9032286Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9032379Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.9032468Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.9032544Z 8 RETURN_VALUE 2022-11-23T01:37:54.9032550Z 2022-11-23T01:37:54.9032598Z 2022-11-23T01:37:54.9032874Z [2022-11-23 01:32:54,773] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9032983Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_220) 2022-11-23T01:37:54.9033071Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9033160Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9033235Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.9033321Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9033407Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.9033471Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.9033559Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.9033663Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.9033767Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.9033857Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9033939Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.9034070Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.9034147Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:54.9034223Z 28 BINARY_SUBSCR 2022-11-23T01:37:54.9034312Z 30 BUILD_TUPLE 2 2022-11-23T01:37:54.9034388Z 32 RETURN_VALUE 2022-11-23T01:37:54.9034393Z 2022-11-23T01:37:54.9034454Z 2022-11-23T01:37:54.9034643Z [2022-11-23 01:32:54,774] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.9034718Z - 2022-11-23T01:37:54.9034828Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.9034925Z { 2022-11-23T01:37:54.9035072Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.9035263Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.9035388Z 'obj_weakref': None 2022-11-23T01:37:54.9035616Z 'guarded_class': 2022-11-23T01:37:54.9035683Z } 2022-11-23T01:37:54.9035734Z 2022-11-23T01:37:54.9035807Z - 2022-11-23T01:37:54.9035938Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.9036003Z { 2022-11-23T01:37:54.9036149Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9036261Z 'code': None, 2022-11-23T01:37:54.9036481Z 'obj_weakref': 2022-11-23T01:37:54.9036725Z 'guarded_class': 2022-11-23T01:37:54.9036793Z } 2022-11-23T01:37:54.9036886Z 2022-11-23T01:37:54.9036999Z - 2022-11-23T01:37:54.9037193Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.9037288Z { 2022-11-23T01:37:54.9037444Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9037541Z 'code': None, 2022-11-23T01:37:54.9037756Z 'obj_weakref': 2022-11-23T01:37:54.9038013Z 'guarded_class': 2022-11-23T01:37:54.9038080Z } 2022-11-23T01:37:54.9038145Z 2022-11-23T01:37:54.9038218Z - 2022-11-23T01:37:54.9038352Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.9038402Z { 2022-11-23T01:37:54.9038538Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.9038711Z 'code': ['___check_obj_id(model, 140539049204624)'], 2022-11-23T01:37:54.9038837Z 'obj_weakref': None 2022-11-23T01:37:54.9039072Z 'guarded_class': 2022-11-23T01:37:54.9039138Z } 2022-11-23T01:37:54.9039201Z 2022-11-23T01:37:54.9039258Z - 2022-11-23T01:37:54.9039389Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.9039455Z { 2022-11-23T01:37:54.9039596Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.9039818Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.9039940Z 'obj_weakref': None 2022-11-23T01:37:54.9040165Z 'guarded_class': 2022-11-23T01:37:54.9040215Z } 2022-11-23T01:37:54.9040278Z 2022-11-23T01:37:54.9040349Z - 2022-11-23T01:37:54.9040484Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.9040549Z { 2022-11-23T01:37:54.9040673Z 'guard_types': None, 2022-11-23T01:37:54.9040781Z 'code': None, 2022-11-23T01:37:54.9040887Z 'obj_weakref': None 2022-11-23T01:37:54.9041008Z 'guarded_class': None 2022-11-23T01:37:54.9041072Z } 2022-11-23T01:37:54.9041134Z 2022-11-23T01:37:54.9041437Z [2022-11-23 01:32:54,783] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 213 2022-11-23T01:37:54.9041820Z [2022-11-23 01:32:56,185] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xo/cxod523scg2exwb4aoxulbrxpir4mtgmvtlqxllndobucvwslum5.py 2022-11-23T01:37:54.9042087Z [2022-11-23 01:32:56,185] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 213 2022-11-23T01:37:54.9042093Z 2022-11-23T01:37:54.9042187Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.9042243Z import torch 2022-11-23T01:37:54.9042311Z import random 2022-11-23T01:37:54.9042457Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.9042582Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.9042587Z 2022-11-23T01:37:54.9042664Z aten = torch.ops.aten 2022-11-23T01:37:54.9042797Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.9042889Z async_compile = AsyncCompile() 2022-11-23T01:37:54.9042896Z 2022-11-23T01:37:54.9042901Z 2022-11-23T01:37:54.9043026Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.9043233Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.9043354Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:37:54.9043454Z float* __restrict__ in_out_ptr1, 2022-11-23T01:37:54.9043557Z const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.9043661Z const float* __restrict__ in_ptr1) 2022-11-23T01:37:54.9043724Z { 2022-11-23T01:37:54.9043809Z auto out_ptr0 = in_out_ptr0; 2022-11-23T01:37:54.9043879Z auto out_ptr1 = in_out_ptr1; 2022-11-23T01:37:54.9043940Z { 2022-11-23T01:37:54.9044134Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:37:54.9044209Z float tmp4 = 0; 2022-11-23T01:37:54.9044326Z auto tmp4_vec = at::vec::Vectorized(tmp4); 2022-11-23T01:37:54.9044402Z float tmp6 = 0; 2022-11-23T01:37:54.9044516Z auto tmp6_vec = at::vec::Vectorized(tmp6); 2022-11-23T01:37:54.9044586Z for(long i0=0; i0<192; i0+=1) 2022-11-23T01:37:54.9044647Z { 2022-11-23T01:37:54.9044777Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:54.9044908Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:54.9045038Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:37:54.9045122Z auto tmp3 = tmp2.abs(); 2022-11-23T01:37:54.9045205Z auto tmp5 = tmp2 * tmp2; 2022-11-23T01:37:54.9045278Z tmp4_vec += tmp3; 2022-11-23T01:37:54.9045342Z tmp6_vec += tmp5; 2022-11-23T01:37:54.9045401Z } 2022-11-23T01:37:54.9045594Z tmp4 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp4_vec); 2022-11-23T01:37:54.9045789Z tmp6 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp6_vec); 2022-11-23T01:37:54.9045924Z #pragma omp simd simdlen(4) reduction(+:tmp4) reduction(+:tmp6) 2022-11-23T01:37:54.9046010Z for(long i0=1536; i0<1536; i0+=1) 2022-11-23T01:37:54.9046071Z { 2022-11-23T01:37:54.9046152Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.9046221Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:54.9046346Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:37:54.9046436Z auto tmp3 = std::abs(tmp2); 2022-11-23T01:37:54.9046520Z auto tmp5 = tmp2 * tmp2; 2022-11-23T01:37:54.9046590Z tmp4 += tmp3; 2022-11-23T01:37:54.9046661Z tmp6 += tmp5; 2022-11-23T01:37:54.9046722Z } 2022-11-23T01:37:54.9046785Z out_ptr0[0] = tmp4; 2022-11-23T01:37:54.9046857Z out_ptr1[0] = tmp6; 2022-11-23T01:37:54.9046918Z } 2022-11-23T01:37:54.9047006Z { 2022-11-23T01:37:54.9047069Z { 2022-11-23T01:37:54.9047151Z auto tmp0 = out_ptr0[0]; 2022-11-23T01:37:54.9047241Z auto tmp1 = static_cast(1536); 2022-11-23T01:37:54.9047321Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:54.9047402Z in_out_ptr0[0] = tmp2; 2022-11-23T01:37:54.9047463Z } 2022-11-23T01:37:54.9047526Z } 2022-11-23T01:37:54.9047595Z { 2022-11-23T01:37:54.9047696Z { 2022-11-23T01:37:54.9047805Z auto tmp0 = out_ptr1[0]; 2022-11-23T01:37:54.9047962Z auto tmp1 = static_cast(1536); 2022-11-23T01:37:54.9048126Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:54.9048205Z in_out_ptr1[0] = tmp2; 2022-11-23T01:37:54.9048268Z } 2022-11-23T01:37:54.9048328Z } 2022-11-23T01:37:54.9048402Z } 2022-11-23T01:37:54.9048545Z ''') 2022-11-23T01:37:54.9048552Z 2022-11-23T01:37:54.9048557Z 2022-11-23T01:37:54.9048656Z async_compile.wait(globals()) 2022-11-23T01:37:54.9048730Z del async_compile 2022-11-23T01:37:54.9048735Z 2022-11-23T01:37:54.9048804Z def call(args): 2022-11-23T01:37:54.9048876Z arg0_1, arg1_1 = args 2022-11-23T01:37:54.9048945Z args.clear() 2022-11-23T01:37:54.9049137Z buf0 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.9049306Z buf1 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.9049390Z buf2 = buf0; del buf0 # reuse 2022-11-23T01:37:54.9049470Z buf3 = buf1; del buf1 # reuse 2022-11-23T01:37:54.9049656Z kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr())) 2022-11-23T01:37:54.9049726Z del arg0_1 2022-11-23T01:37:54.9049793Z del arg1_1 2022-11-23T01:37:54.9049869Z return (buf2, buf3, ) 2022-11-23T01:37:54.9049873Z 2022-11-23T01:37:54.9049878Z 2022-11-23T01:37:54.9049951Z if __name__ == "__main__": 2022-11-23T01:37:54.9050053Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.9050178Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.9050400Z arg0_1 = rand_strided((2, 3, 16, 16), (768, 256, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.9050619Z arg1_1 = rand_strided((2, 3, 16, 16), (768, 256, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.9050735Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:54.9050740Z 2022-11-23T01:37:54.9050805Z ok (1.432s) 2022-11-23T01:37:54.9051120Z test_layer_norm_cpu (__main__.CpuTests) ... [2022-11-23 01:32:56,193] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.9051399Z [2022-11-23 01:32:56,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.9051607Z [2022-11-23 01:32:56,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.9051854Z [2022-11-23 01:32:56,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.9052135Z [2022-11-23 01:32:56,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.9052452Z [2022-11-23 01:32:56,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.9052700Z [2022-11-23 01:32:56,200] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9052937Z [2022-11-23 01:32:56,200] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.9053195Z [2022-11-23 01:32:56,201] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.9053449Z [2022-11-23 01:32:56,208] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.9053678Z [2022-11-23 01:32:56,208] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.9053803Z __compiled_fn_221 .1772 opcode, name, target, args, kwargs 2022-11-23T01:37:54.9053895Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.9053993Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.9054093Z call_module, model_1, model_1, (model_0,), {} 2022-11-23T01:37:54.9054189Z output, output, output, ((model_1,),), {} 2022-11-23T01:37:54.9054194Z 2022-11-23T01:37:54.9054474Z [2022-11-23 01:32:56,208] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9054568Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.9054702Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9054781Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.9054868Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.9054942Z 8 RETURN_VALUE 2022-11-23T01:37:54.9054948Z 2022-11-23T01:37:54.9055008Z 2022-11-23T01:37:54.9055287Z [2022-11-23 01:32:56,208] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9055397Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_221) 2022-11-23T01:37:54.9055485Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9055573Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9055636Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.9055722Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.9055811Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.9055889Z 12 RETURN_VALUE 2022-11-23T01:37:54.9055893Z 2022-11-23T01:37:54.9055953Z 2022-11-23T01:37:54.9056141Z [2022-11-23 01:32:56,209] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.9056214Z - 2022-11-23T01:37:54.9056322Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.9056386Z { 2022-11-23T01:37:54.9056529Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.9056719Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.9056840Z 'obj_weakref': None 2022-11-23T01:37:54.9057067Z 'guarded_class': 2022-11-23T01:37:54.9057131Z } 2022-11-23T01:37:54.9057181Z 2022-11-23T01:37:54.9057250Z - 2022-11-23T01:37:54.9057375Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.9057438Z { 2022-11-23T01:37:54.9057584Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9057696Z 'code': None, 2022-11-23T01:37:54.9057910Z 'obj_weakref': 2022-11-23T01:37:54.9058154Z 'guarded_class': 2022-11-23T01:37:54.9058218Z } 2022-11-23T01:37:54.9058282Z 2022-11-23T01:37:54.9058357Z - 2022-11-23T01:37:54.9058479Z local 'model' NN_MODULE 2022-11-23T01:37:54.9058540Z { 2022-11-23T01:37:54.9058677Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.9059027Z 'code': ['___check_obj_id(model, 140539097821520)'], 2022-11-23T01:37:54.9059391Z 'obj_weakref': 2022-11-23T01:37:54.9059649Z 'guarded_class': 2022-11-23T01:37:54.9059715Z } 2022-11-23T01:37:54.9059781Z 2022-11-23T01:37:54.9059853Z - 2022-11-23T01:37:54.9059977Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.9060027Z { 2022-11-23T01:37:54.9060164Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.9060386Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.9060578Z 'obj_weakref': None 2022-11-23T01:37:54.9060804Z 'guarded_class': 2022-11-23T01:37:54.9060868Z } 2022-11-23T01:37:54.9060932Z 2022-11-23T01:37:54.9060992Z - 2022-11-23T01:37:54.9061143Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.9061207Z { 2022-11-23T01:37:54.9061329Z 'guard_types': None, 2022-11-23T01:37:54.9061438Z 'code': None, 2022-11-23T01:37:54.9061566Z 'obj_weakref': None 2022-11-23T01:37:54.9061748Z 'guarded_class': None 2022-11-23T01:37:54.9061799Z } 2022-11-23T01:37:54.9061859Z 2022-11-23T01:37:54.9061930Z - 2022-11-23T01:37:54.9062076Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.9062140Z { 2022-11-23T01:37:54.9062261Z 'guard_types': None, 2022-11-23T01:37:54.9062359Z 'code': None, 2022-11-23T01:37:54.9062480Z 'obj_weakref': None 2022-11-23T01:37:54.9062604Z 'guarded_class': None 2022-11-23T01:37:54.9062668Z } 2022-11-23T01:37:54.9062729Z 2022-11-23T01:37:54.9062992Z [2022-11-23 01:32:56,260] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 214 2022-11-23T01:37:54.9063370Z [2022-11-23 01:32:57,703] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/co/cconvk7rpprqo5g6rjhxvcwubkctgr65wpbbjuqe4rb4b7pwxe42.py 2022-11-23T01:37:54.9063638Z [2022-11-23 01:32:57,703] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 214 2022-11-23T01:37:54.9063648Z 2022-11-23T01:37:54.9063729Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.9063798Z import torch 2022-11-23T01:37:54.9063868Z import random 2022-11-23T01:37:54.9063980Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.9064100Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.9064107Z 2022-11-23T01:37:54.9064184Z aten = torch.ops.aten 2022-11-23T01:37:54.9064319Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.9064401Z async_compile = AsyncCompile() 2022-11-23T01:37:54.9064417Z 2022-11-23T01:37:54.9064422Z 2022-11-23T01:37:54.9064543Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.9064747Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.9064864Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:37:54.9064967Z float* __restrict__ in_out_ptr1, 2022-11-23T01:37:54.9065074Z const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.9065178Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:54.9065278Z const float* __restrict__ in_ptr2, 2022-11-23T01:37:54.9065376Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.9065462Z float* __restrict__ out_ptr3) 2022-11-23T01:37:54.9065522Z { 2022-11-23T01:37:54.9065607Z auto out_ptr2 = in_out_ptr0; 2022-11-23T01:37:54.9065688Z auto out_ptr1 = in_out_ptr1; 2022-11-23T01:37:54.9065762Z #pragma GCC ivdep 2022-11-23T01:37:54.9065842Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:37:54.9065890Z { 2022-11-23T01:37:54.9065955Z { 2022-11-23T01:37:54.9066145Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:37:54.9066223Z float tmp1 = 0; 2022-11-23T01:37:54.9066345Z auto tmp1_vec = at::vec::Vectorized(tmp1); 2022-11-23T01:37:54.9066427Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:37:54.9066489Z { 2022-11-23T01:37:54.9066627Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (32*i0)); 2022-11-23T01:37:54.9066695Z tmp1_vec += tmp0; 2022-11-23T01:37:54.9066790Z } 2022-11-23T01:37:54.9066989Z tmp1 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp1_vec); 2022-11-23T01:37:54.9067105Z #pragma omp simd simdlen(4) reduction(+:tmp1) 2022-11-23T01:37:54.9067189Z for(long i1=32; i1<32; i1+=1) 2022-11-23T01:37:54.9067252Z { 2022-11-23T01:37:54.9067346Z auto tmp0 = in_ptr0[i1 + (32*i0)]; 2022-11-23T01:37:54.9067419Z tmp1 += tmp0; 2022-11-23T01:37:54.9067469Z } 2022-11-23T01:37:54.9067547Z out_ptr0[i0] = tmp1; 2022-11-23T01:37:54.9067639Z } 2022-11-23T01:37:54.9067698Z } 2022-11-23T01:37:54.9067772Z #pragma GCC ivdep 2022-11-23T01:37:54.9067850Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:37:54.9067899Z { 2022-11-23T01:37:54.9067959Z { 2022-11-23T01:37:54.9068232Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:37:54.9068318Z float tmp6 = 0; 2022-11-23T01:37:54.9068442Z auto tmp6_vec = at::vec::Vectorized(tmp6); 2022-11-23T01:37:54.9068518Z float tmp7 = 0; 2022-11-23T01:37:54.9068634Z auto tmp7_vec = at::vec::Vectorized(tmp7); 2022-11-23T01:37:54.9068716Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:37:54.9068767Z { 2022-11-23T01:37:54.9068910Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (32*i0)); 2022-11-23T01:37:54.9069042Z auto tmp1 = at::vec::Vectorized(out_ptr0[i0]); 2022-11-23T01:37:54.9069184Z auto tmp2 = at::vec::Vectorized(static_cast(32)); 2022-11-23T01:37:54.9069274Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:37:54.9069415Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:37:54.9069506Z auto tmp5 = tmp4.pow(2); 2022-11-23T01:37:54.9069571Z tmp6_vec += tmp5; 2022-11-23T01:37:54.9069654Z tmp7_vec += tmp0; 2022-11-23T01:37:54.9069720Z } 2022-11-23T01:37:54.9069916Z tmp6 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp6_vec); 2022-11-23T01:37:54.9070111Z tmp7 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp7_vec); 2022-11-23T01:37:54.9070251Z #pragma omp simd simdlen(4) reduction(+:tmp6) reduction(+:tmp7) 2022-11-23T01:37:54.9070337Z for(long i1=32; i1<32; i1+=1) 2022-11-23T01:37:54.9070404Z { 2022-11-23T01:37:54.9070505Z auto tmp0 = in_ptr0[i1 + (32*i0)]; 2022-11-23T01:37:54.9070580Z auto tmp1 = out_ptr0[i0]; 2022-11-23T01:37:54.9070684Z auto tmp2 = static_cast(32); 2022-11-23T01:37:54.9070769Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:37:54.9076919Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:37:54.9077030Z auto tmp5 = tmp4 * tmp4; 2022-11-23T01:37:54.9077110Z tmp6 += tmp5; 2022-11-23T01:37:54.9077184Z tmp7 += tmp0; 2022-11-23T01:37:54.9077248Z } 2022-11-23T01:37:54.9077330Z out_ptr1[i0] = tmp6; 2022-11-23T01:37:54.9077395Z out_ptr2[i0] = tmp7; 2022-11-23T01:37:54.9077458Z } 2022-11-23T01:37:54.9077521Z } 2022-11-23T01:37:54.9077602Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:54.9077663Z { 2022-11-23T01:37:54.9077806Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr2 + 8*i0); 2022-11-23T01:37:54.9077946Z auto tmp1 = at::vec::Vectorized(static_cast(32)); 2022-11-23T01:37:54.9078017Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:54.9078107Z tmp2.store(in_out_ptr0 + 8*i0); 2022-11-23T01:37:54.9078167Z } 2022-11-23T01:37:54.9078256Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.9078409Z for(long i0=16; i0<16; i0+=1) 2022-11-23T01:37:54.9078475Z { 2022-11-23T01:37:54.9078559Z auto tmp0 = out_ptr2[i0]; 2022-11-23T01:37:54.9078644Z auto tmp1 = static_cast(32); 2022-11-23T01:37:54.9078726Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:54.9078806Z in_out_ptr0[i0] = tmp2; 2022-11-23T01:37:54.9078866Z } 2022-11-23T01:37:54.9078944Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:54.9079004Z { 2022-11-23T01:37:54.9079122Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr1 + 8*i0); 2022-11-23T01:37:54.9079255Z auto tmp1 = at::vec::Vectorized(static_cast(32)); 2022-11-23T01:37:54.9079376Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:54.9079606Z auto tmp3 = at::vec::Vectorized(static_cast(1e-05)); 2022-11-23T01:37:54.9079689Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:54.9079768Z auto tmp5 = tmp4.sqrt(); 2022-11-23T01:37:54.9079859Z auto tmp6 = tmp5.reciprocal(); 2022-11-23T01:37:54.9079954Z tmp6.store(in_out_ptr1 + 8*i0); 2022-11-23T01:37:54.9080003Z } 2022-11-23T01:37:54.9080089Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.9080169Z for(long i0=16; i0<16; i0+=1) 2022-11-23T01:37:54.9080231Z { 2022-11-23T01:37:54.9080312Z auto tmp0 = out_ptr1[i0]; 2022-11-23T01:37:54.9080410Z auto tmp1 = static_cast(32); 2022-11-23T01:37:54.9080491Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:54.9080630Z auto tmp3 = static_cast(1e-05); 2022-11-23T01:37:54.9080711Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:54.9080800Z auto tmp5 = std::sqrt(tmp4); 2022-11-23T01:37:54.9080881Z auto tmp6 = 1 / tmp5; 2022-11-23T01:37:54.9080962Z in_out_ptr1[i0] = tmp6; 2022-11-23T01:37:54.9081023Z } 2022-11-23T01:37:54.9081085Z #pragma GCC ivdep 2022-11-23T01:37:54.9081164Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:37:54.9081225Z { 2022-11-23T01:37:54.9081308Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:37:54.9081372Z { 2022-11-23T01:37:54.9081516Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (32*i0)); 2022-11-23T01:37:54.9081649Z auto tmp1 = at::vec::Vectorized(in_out_ptr0[i0]); 2022-11-23T01:37:54.9081775Z auto tmp3 = at::vec::Vectorized(in_out_ptr1[i0]); 2022-11-23T01:37:54.9081893Z auto tmp5 = at::vec::Vectorized::loadu(in_ptr1 + 8*i1); 2022-11-23T01:37:54.9082022Z auto tmp7 = at::vec::Vectorized::loadu(in_ptr2 + 8*i1); 2022-11-23T01:37:54.9082152Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:37:54.9082243Z auto tmp4 = tmp2 * tmp3; 2022-11-23T01:37:54.9082327Z auto tmp6 = tmp4 * tmp5; 2022-11-23T01:37:54.9082412Z auto tmp8 = tmp6 + tmp7; 2022-11-23T01:37:54.9082537Z auto tmp9 = at::vec::clamp_min(tmp8, decltype(tmp8)(0)); 2022-11-23T01:37:54.9082640Z tmp9.store(out_ptr3 + (8*i1) + (32*i0)); 2022-11-23T01:37:54.9082690Z } 2022-11-23T01:37:54.9082783Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.9082866Z for(long i1=32; i1<32; i1+=1) 2022-11-23T01:37:54.9082929Z { 2022-11-23T01:37:54.9083024Z auto tmp0 = in_ptr0[i1 + (32*i0)]; 2022-11-23T01:37:54.9083113Z auto tmp1 = in_out_ptr0[i0]; 2022-11-23T01:37:54.9083188Z auto tmp3 = in_out_ptr1[i0]; 2022-11-23T01:37:54.9083271Z auto tmp5 = in_ptr1[i1]; 2022-11-23T01:37:54.9083353Z auto tmp7 = in_ptr2[i1]; 2022-11-23T01:37:54.9083481Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:37:54.9083565Z auto tmp4 = tmp2 * tmp3; 2022-11-23T01:37:54.9083651Z auto tmp6 = tmp4 * tmp5; 2022-11-23T01:37:54.9083731Z auto tmp8 = tmp6 + tmp7; 2022-11-23T01:37:54.9083804Z auto tmp9 = tmp8 * (tmp8>0); 2022-11-23T01:37:54.9083892Z out_ptr3[i1 + (32*i0)] = tmp9; 2022-11-23T01:37:54.9083953Z } 2022-11-23T01:37:54.9084015Z } 2022-11-23T01:37:54.9084075Z } 2022-11-23T01:37:54.9084187Z ''') 2022-11-23T01:37:54.9084196Z 2022-11-23T01:37:54.9084200Z 2022-11-23T01:37:54.9084291Z async_compile.wait(globals()) 2022-11-23T01:37:54.9084352Z del async_compile 2022-11-23T01:37:54.9084370Z 2022-11-23T01:37:54.9084427Z def call(args): 2022-11-23T01:37:54.9084529Z primals_1, primals_2, primals_3 = args 2022-11-23T01:37:54.9084600Z args.clear() 2022-11-23T01:37:54.9084807Z buf0 = empty_strided((16, 1), (1, 16), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.9085007Z buf1 = empty_strided((16, 1), (1, 16), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.9085239Z buf2 = empty_strided((16, 1), (1, 16), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.9085330Z buf3 = buf2; del buf2 # reuse 2022-11-23T01:37:54.9085400Z buf4 = buf1; del buf1 # reuse 2022-11-23T01:37:54.9085603Z buf5 = empty_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.9085883Z kernel_cpp_0(c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(primals_3.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf5.data_ptr())) 2022-11-23T01:37:54.9086011Z return (buf5, primals_1, primals_2, primals_3, buf3, buf4, ) 2022-11-23T01:37:54.9086015Z 2022-11-23T01:37:54.9086020Z 2022-11-23T01:37:54.9086097Z if __name__ == "__main__": 2022-11-23T01:37:54.9086214Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.9086337Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.9086542Z primals_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.9086746Z primals_2 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.9086940Z primals_3 = rand_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.9087077Z print_performance(lambda: call([primals_1, primals_2, primals_3])) 2022-11-23T01:37:54.9087082Z 2022-11-23T01:37:54.9087151Z ok (1.518s) 2022-11-23T01:37:54.9087468Z test_leaky_relu_cpu (__main__.CpuTests) ... [2022-11-23 01:32:57,711] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.9087746Z [2022-11-23 01:32:57,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.9087969Z [2022-11-23 01:32:57,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.9088228Z [2022-11-23 01:32:57,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.9088522Z [2022-11-23 01:32:57,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.9088851Z [2022-11-23 01:32:57,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.9089173Z [2022-11-23 01:32:57,711] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.9089270Z 2430 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.9089371Z 2 LOAD_METHOD 1 (leaky_relu) 2022-11-23T01:37:54.9089463Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:54.9089552Z 6 LOAD_CONST 1 (0.2) 2022-11-23T01:37:54.9089642Z 8 CALL_METHOD 2 2022-11-23T01:37:54.9089731Z 10 LOAD_CONST 2 (2) 2022-11-23T01:37:54.9089793Z 12 BINARY_ADD 2022-11-23T01:37:54.9089887Z 14 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.9089987Z 16 LOAD_METHOD 1 (leaky_relu) 2022-11-23T01:37:54.9090077Z 18 LOAD_FAST 0 (x) 2022-11-23T01:37:54.9090166Z 20 LOAD_CONST 3 (1) 2022-11-23T01:37:54.9090270Z 22 BINARY_ADD 2022-11-23T01:37:54.9090360Z 24 CALL_METHOD 1 2022-11-23T01:37:54.9090449Z 26 BUILD_TUPLE 2 2022-11-23T01:37:54.9090514Z 28 RETURN_VALUE 2022-11-23T01:37:54.9090574Z 2022-11-23T01:37:54.9090579Z 2022-11-23T01:37:54.9090857Z [2022-11-23 01:32:57,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2430 2022-11-23T01:37:54.9091079Z [2022-11-23 01:32:57,711] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.9091399Z [2022-11-23 01:32:57,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR leaky_relu [TorchVariable()] 2022-11-23T01:37:54.9091702Z [2022-11-23 01:32:57,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.leaky_relu)] 2022-11-23T01:37:54.9091996Z [2022-11-23 01:32:57,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.2 [TorchVariable(aten.leaky_relu), TensorVariable()] 2022-11-23T01:37:54.9092332Z [2022-11-23 01:32:57,718] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.leaky_relu), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:37:54.9092572Z [2022-11-23 01:32:57,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:37:54.9092845Z [2022-11-23 01:32:57,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.9093093Z [2022-11-23 01:32:57,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:54.9093440Z [2022-11-23 01:32:57,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR leaky_relu [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.9093730Z [2022-11-23 01:32:57,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.leaky_relu)] 2022-11-23T01:37:54.9094053Z [2022-11-23 01:32:57,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.leaky_relu), TensorVariable()] 2022-11-23T01:37:54.9094416Z [2022-11-23 01:32:57,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.leaky_relu), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.9094739Z [2022-11-23 01:32:57,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.leaky_relu), TensorVariable()] 2022-11-23T01:37:54.9095011Z [2022-11-23 01:32:57,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9095264Z [2022-11-23 01:32:57,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.9095603Z [2022-11-23 01:32:57,729] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.9095836Z [2022-11-23 01:32:57,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.9096074Z [2022-11-23 01:32:57,729] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.9096331Z [2022-11-23 01:32:57,730] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.9096586Z [2022-11-23 01:32:57,735] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.9096777Z [2022-11-23 01:32:57,736] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.9096918Z __compiled_fn_222 .1783 opcode, name, target, args, kwargs 2022-11-23T01:37:54.9097008Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.9097131Z call_function, leaky_relu, aten.leaky_relu, (ex_0_, 0.2), {} 2022-11-23T01:37:54.9097313Z call_function, add, , (leaky_relu, 2), {} 2022-11-23T01:37:54.9097508Z call_function, add_1, , (ex_0_, 1), {} 2022-11-23T01:37:54.9097632Z call_function, leaky_relu_1, aten.leaky_relu, (add_1,), {} 2022-11-23T01:37:54.9097743Z output, output, output, ((add, leaky_relu_1),), {} 2022-11-23T01:37:54.9097748Z 2022-11-23T01:37:54.9098032Z [2022-11-23 01:32:57,736] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9098125Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.9098215Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9098353Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.9098444Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.9098507Z 8 RETURN_VALUE 2022-11-23T01:37:54.9098513Z 2022-11-23T01:37:54.9098574Z 2022-11-23T01:37:54.9099054Z [2022-11-23 01:32:57,736] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9099202Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_222) 2022-11-23T01:37:54.9099296Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9099386Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9099466Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.9099543Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.9099648Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.9099748Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.9099836Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9099915Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.9100016Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.9100103Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:54.9100167Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.9100256Z 24 BUILD_TUPLE 2 2022-11-23T01:37:54.9100332Z 26 RETURN_VALUE 2022-11-23T01:37:54.9100337Z 2022-11-23T01:37:54.9100397Z 2022-11-23T01:37:54.9100588Z [2022-11-23 01:32:57,737] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.9100661Z - 2022-11-23T01:37:54.9100783Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.9100835Z { 2022-11-23T01:37:54.9100978Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.9101167Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.9101291Z 'obj_weakref': None 2022-11-23T01:37:54.9101523Z 'guarded_class': 2022-11-23T01:37:54.9101590Z } 2022-11-23T01:37:54.9101653Z 2022-11-23T01:37:54.9101710Z - 2022-11-23T01:37:54.9101836Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.9101902Z { 2022-11-23T01:37:54.9102050Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9102164Z 'code': None, 2022-11-23T01:37:54.9102381Z 'obj_weakref': 2022-11-23T01:37:54.9102640Z 'guarded_class': 2022-11-23T01:37:54.9102705Z } 2022-11-23T01:37:54.9102753Z 2022-11-23T01:37:54.9102824Z - 2022-11-23T01:37:54.9102959Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.9103023Z { 2022-11-23T01:37:54.9103159Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.9103335Z 'code': ['___check_obj_id(model, 140538747175136)'], 2022-11-23T01:37:54.9103443Z 'obj_weakref': None 2022-11-23T01:37:54.9103675Z 'guarded_class': 2022-11-23T01:37:54.9103740Z } 2022-11-23T01:37:54.9103803Z 2022-11-23T01:37:54.9103873Z - 2022-11-23T01:37:54.9104067Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.9104134Z { 2022-11-23T01:37:54.9104261Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.9104480Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.9104600Z 'obj_weakref': None 2022-11-23T01:37:54.9104824Z 'guarded_class': 2022-11-23T01:37:54.9104888Z } 2022-11-23T01:37:54.9104952Z 2022-11-23T01:37:54.9105022Z - 2022-11-23T01:37:54.9105189Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.9105252Z { 2022-11-23T01:37:54.9105375Z 'guard_types': None, 2022-11-23T01:37:54.9105488Z 'code': None, 2022-11-23T01:37:54.9105610Z 'obj_weakref': None 2022-11-23T01:37:54.9105734Z 'guarded_class': None 2022-11-23T01:37:54.9105797Z } 2022-11-23T01:37:54.9105849Z 2022-11-23T01:37:54.9106116Z [2022-11-23 01:32:57,748] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 215 2022-11-23T01:37:54.9106492Z [2022-11-23 01:32:59,125] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5v/c5vcofl6vkb6tfmi6csrvgudnhr5sd4peyzwkchbbtjhiadhss6w.py 2022-11-23T01:37:54.9106762Z [2022-11-23 01:32:59,126] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 215 2022-11-23T01:37:54.9106768Z 2022-11-23T01:37:54.9106863Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.9106932Z import torch 2022-11-23T01:37:54.9106993Z import random 2022-11-23T01:37:54.9107116Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.9107237Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.9107241Z 2022-11-23T01:37:54.9107318Z aten = torch.ops.aten 2022-11-23T01:37:54.9107452Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.9107544Z async_compile = AsyncCompile() 2022-11-23T01:37:54.9107549Z 2022-11-23T01:37:54.9107553Z 2022-11-23T01:37:54.9107688Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.9107893Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.9108001Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.9108186Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.9108309Z float* __restrict__ out_ptr1) 2022-11-23T01:37:54.9108372Z { 2022-11-23T01:37:54.9108453Z #pragma GCC ivdep 2022-11-23T01:37:54.9108533Z for(long i0=0; i0<256; i0+=1) 2022-11-23T01:37:54.9108595Z { 2022-11-23T01:37:54.9108645Z { 2022-11-23T01:37:54.9108707Z { 2022-11-23T01:37:54.9108794Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.9108895Z auto tmp1 = static_cast(0); 2022-11-23T01:37:54.9108986Z auto tmp2 = tmp0 > tmp1; 2022-11-23T01:37:54.9109087Z auto tmp3 = static_cast(0.2); 2022-11-23T01:37:54.9109175Z auto tmp4 = tmp0 * tmp3; 2022-11-23T01:37:54.9109259Z auto tmp5 = tmp2 ? tmp0 : tmp4; 2022-11-23T01:37:54.9109358Z auto tmp6 = static_cast(2); 2022-11-23T01:37:54.9109443Z auto tmp7 = tmp5 + tmp6; 2022-11-23T01:37:54.9109543Z auto tmp8 = static_cast(1); 2022-11-23T01:37:54.9109628Z auto tmp9 = tmp0 + tmp8; 2022-11-23T01:37:54.9109714Z auto tmp10 = tmp9 > tmp1; 2022-11-23T01:37:54.9109822Z auto tmp11 = static_cast(0.01); 2022-11-23T01:37:54.9109899Z auto tmp12 = tmp9 * tmp11; 2022-11-23T01:37:54.9109998Z auto tmp13 = tmp10 ? tmp9 : tmp12; 2022-11-23T01:37:54.9110085Z out_ptr0[i0] = tmp7; 2022-11-23T01:37:54.9110168Z out_ptr1[i0] = tmp13; 2022-11-23T01:37:54.9110269Z } 2022-11-23T01:37:54.9110339Z } 2022-11-23T01:37:54.9110402Z } 2022-11-23T01:37:54.9110449Z } 2022-11-23T01:37:54.9110535Z ''') 2022-11-23T01:37:54.9110540Z 2022-11-23T01:37:54.9110544Z 2022-11-23T01:37:54.9110638Z async_compile.wait(globals()) 2022-11-23T01:37:54.9110711Z del async_compile 2022-11-23T01:37:54.9110716Z 2022-11-23T01:37:54.9110787Z def call(args): 2022-11-23T01:37:54.9110860Z arg0_1, = args 2022-11-23T01:37:54.9110934Z args.clear() 2022-11-23T01:37:54.9111127Z buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.9111365Z buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.9111534Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:54.9111605Z del arg0_1 2022-11-23T01:37:54.9111684Z return (buf0, buf1, ) 2022-11-23T01:37:54.9111690Z 2022-11-23T01:37:54.9111694Z 2022-11-23T01:37:54.9111772Z if __name__ == "__main__": 2022-11-23T01:37:54.9111889Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.9112015Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.9112205Z arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.9112316Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.9112321Z 2022-11-23T01:37:54.9112389Z ok (1.422s) 2022-11-23T01:37:54.9112702Z test_lgamma_cpu (__main__.CpuTests) ... [2022-11-23 01:32:59,133] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.9112981Z [2022-11-23 01:32:59,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.9113205Z [2022-11-23 01:32:59,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.9113465Z [2022-11-23 01:32:59,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:54.9113757Z [2022-11-23 01:32:59,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:54.9114084Z [2022-11-23 01:32:59,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.9114400Z [2022-11-23 01:32:59,134] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.9114497Z 2126 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.9114597Z 2 LOAD_METHOD 1 (lgamma) 2022-11-23T01:37:54.9114690Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:54.9114779Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9114870Z 8 LOAD_CONST 1 (2) 2022-11-23T01:37:54.9114944Z 10 BINARY_ADD 2022-11-23T01:37:54.9115039Z 12 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:54.9115119Z 14 LOAD_METHOD 2 (cos) 2022-11-23T01:37:54.9115208Z 16 LOAD_FAST 0 (x) 2022-11-23T01:37:54.9115297Z 18 LOAD_CONST 2 (1) 2022-11-23T01:37:54.9115370Z 20 BINARY_ADD 2022-11-23T01:37:54.9115461Z 22 CALL_METHOD 1 2022-11-23T01:37:54.9115550Z 24 BUILD_TUPLE 2 2022-11-23T01:37:54.9115626Z 26 RETURN_VALUE 2022-11-23T01:37:54.9115676Z 2022-11-23T01:37:54.9115681Z 2022-11-23T01:37:54.9115958Z [2022-11-23 01:32:59,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2126 2022-11-23T01:37:54.9116183Z [2022-11-23 01:32:59,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:54.9116531Z [2022-11-23 01:32:59,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR lgamma [TorchVariable()] 2022-11-23T01:37:54.9116796Z [2022-11-23 01:32:59,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.lgamma)] 2022-11-23T01:37:54.9117087Z [2022-11-23 01:32:59,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.lgamma), TensorVariable()] 2022-11-23T01:37:54.9117333Z [2022-11-23 01:32:59,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:37:54.9117619Z [2022-11-23 01:32:59,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.9117902Z [2022-11-23 01:32:59,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:54.9118223Z [2022-11-23 01:32:59,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR cos [TensorVariable(), TorchVariable()] 2022-11-23T01:37:54.9118506Z [2022-11-23 01:32:59,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.cos)] 2022-11-23T01:37:54.9118816Z [2022-11-23 01:32:59,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.cos), TensorVariable()] 2022-11-23T01:37:54.9119168Z [2022-11-23 01:32:59,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.cos), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:54.9119481Z [2022-11-23 01:32:59,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.cos), TensorVariable()] 2022-11-23T01:37:54.9119755Z [2022-11-23 01:32:59,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9120122Z [2022-11-23 01:32:59,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.9120466Z [2022-11-23 01:32:59,150] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.9120716Z [2022-11-23 01:32:59,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.9120953Z [2022-11-23 01:32:59,150] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.9121194Z [2022-11-23 01:32:59,152] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.9121445Z [2022-11-23 01:32:59,156] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.9121639Z [2022-11-23 01:32:59,156] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.9121774Z __compiled_fn_223 .1789 opcode, name, target, args, kwargs 2022-11-23T01:37:54.9121863Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.9121970Z call_function, lgamma, aten.lgamma, (ex_0_,), {} 2022-11-23T01:37:54.9122151Z call_function, add, , (lgamma, 2), {} 2022-11-23T01:37:54.9122330Z call_function, add_1, , (ex_0_, 1), {} 2022-11-23T01:37:54.9122418Z call_function, cos, aten.cos, (add_1,), {} 2022-11-23T01:37:54.9122513Z output, output, output, ((add, cos),), {} 2022-11-23T01:37:54.9122519Z 2022-11-23T01:37:54.9122797Z [2022-11-23 01:32:59,156] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9122890Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.9122978Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9123071Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.9123160Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.9123234Z 8 RETURN_VALUE 2022-11-23T01:37:54.9123239Z 2022-11-23T01:37:54.9123289Z 2022-11-23T01:37:54.9123605Z [2022-11-23 01:32:59,156] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9123716Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_223) 2022-11-23T01:37:54.9123805Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9123894Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9123970Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.9124059Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.9124150Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.9124253Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.9124371Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9124447Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.9124548Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.9124635Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:54.9124708Z 22 BINARY_SUBSCR 2022-11-23T01:37:54.9124794Z 24 BUILD_TUPLE 2 2022-11-23T01:37:54.9124858Z 26 RETURN_VALUE 2022-11-23T01:37:54.9124864Z 2022-11-23T01:37:54.9124922Z 2022-11-23T01:37:54.9125107Z [2022-11-23 01:32:59,157] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.9125181Z - 2022-11-23T01:37:54.9125302Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.9125366Z { 2022-11-23T01:37:54.9125507Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.9125683Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.9125804Z 'obj_weakref': None 2022-11-23T01:37:54.9126032Z 'guarded_class': 2022-11-23T01:37:54.9126099Z } 2022-11-23T01:37:54.9126160Z 2022-11-23T01:37:54.9126233Z - 2022-11-23T01:37:54.9126360Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.9126411Z { 2022-11-23T01:37:54.9126556Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9126666Z 'code': None, 2022-11-23T01:37:54.9126882Z 'obj_weakref': 2022-11-23T01:37:54.9127138Z 'guarded_class': 2022-11-23T01:37:54.9127203Z } 2022-11-23T01:37:54.9127264Z 2022-11-23T01:37:54.9127322Z - 2022-11-23T01:37:54.9127456Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:54.9127518Z { 2022-11-23T01:37:54.9127654Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.9127827Z 'code': ['___check_obj_id(model, 140538738413792)'], 2022-11-23T01:37:54.9127949Z 'obj_weakref': None 2022-11-23T01:37:54.9128178Z 'guarded_class': 2022-11-23T01:37:54.9128228Z } 2022-11-23T01:37:54.9128288Z 2022-11-23T01:37:54.9128361Z - 2022-11-23T01:37:54.9128484Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.9128545Z { 2022-11-23T01:37:54.9128684Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.9128904Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.9129013Z 'obj_weakref': None 2022-11-23T01:37:54.9129233Z 'guarded_class': 2022-11-23T01:37:54.9129294Z } 2022-11-23T01:37:54.9129355Z 2022-11-23T01:37:54.9129427Z - 2022-11-23T01:37:54.9129561Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:54.9129622Z { 2022-11-23T01:37:54.9129730Z 'guard_types': None, 2022-11-23T01:37:54.9129838Z 'code': None, 2022-11-23T01:37:54.9129956Z 'obj_weakref': None 2022-11-23T01:37:54.9130078Z 'guarded_class': None 2022-11-23T01:37:54.9130172Z } 2022-11-23T01:37:54.9130235Z 2022-11-23T01:37:54.9130488Z [2022-11-23 01:32:59,165] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 216 2022-11-23T01:37:54.9131034Z [2022-11-23 01:33:00,536] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vo/cvosbjmbsrsdrs5motr7xp3bj2jmw3oai73p7xbuntv4agebinpq.py 2022-11-23T01:37:54.9131316Z [2022-11-23 01:33:00,537] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 216 2022-11-23T01:37:54.9131322Z 2022-11-23T01:37:54.9131417Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.9131529Z import torch 2022-11-23T01:37:54.9131599Z import random 2022-11-23T01:37:54.9131715Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.9131837Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.9131842Z 2022-11-23T01:37:54.9131918Z aten = torch.ops.aten 2022-11-23T01:37:54.9132043Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.9132135Z async_compile = AsyncCompile() 2022-11-23T01:37:54.9132140Z 2022-11-23T01:37:54.9132144Z 2022-11-23T01:37:54.9132281Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.9132489Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.9132608Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:54.9132709Z float* __restrict__ out_ptr0, 2022-11-23T01:37:54.9132805Z float* __restrict__ out_ptr1) 2022-11-23T01:37:54.9132868Z { 2022-11-23T01:37:54.9132938Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:37:54.9132997Z { 2022-11-23T01:37:54.9133139Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:54.9133225Z auto tmp1 = tmp0.lgamma(); 2022-11-23T01:37:54.9133357Z auto tmp2 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:37:54.9133441Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:37:54.9133568Z auto tmp4 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:54.9133636Z auto tmp5 = tmp0 + tmp4; 2022-11-23T01:37:54.9133716Z auto tmp6 = tmp5.cos(); 2022-11-23T01:37:54.9133803Z tmp3.store(out_ptr0 + 8*i0); 2022-11-23T01:37:54.9133888Z tmp6.store(out_ptr1 + 8*i0); 2022-11-23T01:37:54.9133948Z } 2022-11-23T01:37:54.9134033Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.9134114Z for(long i0=256; i0<256; i0+=1) 2022-11-23T01:37:54.9134165Z { 2022-11-23T01:37:54.9134247Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:54.9134336Z auto tmp1 = std::lgamma(tmp0); 2022-11-23T01:37:54.9134431Z auto tmp2 = static_cast(2); 2022-11-23T01:37:54.9134510Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:37:54.9134604Z auto tmp4 = static_cast(1); 2022-11-23T01:37:54.9134684Z auto tmp5 = tmp0 + tmp4; 2022-11-23T01:37:54.9134760Z auto tmp6 = std::cos(tmp5); 2022-11-23T01:37:54.9134836Z out_ptr0[i0] = tmp3; 2022-11-23T01:37:54.9134910Z out_ptr1[i0] = tmp6; 2022-11-23T01:37:54.9134970Z } 2022-11-23T01:37:54.9135033Z } 2022-11-23T01:37:54.9135113Z ''') 2022-11-23T01:37:54.9135119Z 2022-11-23T01:37:54.9135123Z 2022-11-23T01:37:54.9135210Z async_compile.wait(globals()) 2022-11-23T01:37:54.9135271Z del async_compile 2022-11-23T01:37:54.9135275Z 2022-11-23T01:37:54.9135348Z def call(args): 2022-11-23T01:37:54.9135417Z arg0_1, = args 2022-11-23T01:37:54.9135487Z args.clear() 2022-11-23T01:37:54.9135693Z buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.9135897Z buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.9136061Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:54.9136119Z del arg0_1 2022-11-23T01:37:54.9136194Z return (buf0, buf1, ) 2022-11-23T01:37:54.9136261Z 2022-11-23T01:37:54.9136266Z 2022-11-23T01:37:54.9136343Z if __name__ == "__main__": 2022-11-23T01:37:54.9136456Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.9136578Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.9136783Z arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.9136891Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:54.9136896Z 2022-11-23T01:37:54.9136964Z ok (1.411s) 2022-11-23T01:37:54.9137261Z test_linear1_cpu (__main__.CpuTests) ... [2022-11-23 01:33:00,547] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.9137570Z [2022-11-23 01:33:00,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.9137794Z [2022-11-23 01:33:00,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.9138046Z [2022-11-23 01:33:00,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.9138326Z [2022-11-23 01:33:00,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.9138644Z [2022-11-23 01:33:00,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.9139199Z [2022-11-23 01:33:00,554] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.9139298Z 170 0 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9139388Z 2 BUILD_TUPLE 1 2022-11-23T01:37:54.9139451Z 4 RETURN_VALUE 2022-11-23T01:37:54.9139512Z 2022-11-23T01:37:54.9139517Z 2022-11-23T01:37:54.9139796Z [2022-11-23 01:33:00,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:170 2022-11-23T01:37:54.9140010Z [2022-11-23 01:33:00,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9140255Z [2022-11-23 01:33:00,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:54.9140506Z [2022-11-23 01:33:00,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.9140847Z [2022-11-23 01:33:00,555] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.9141102Z [2022-11-23 01:33:00,555] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:54.9141342Z [2022-11-23 01:33:00,555] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.9141587Z [2022-11-23 01:33:00,556] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.9141844Z [2022-11-23 01:33:00,563] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.9142038Z [2022-11-23 01:33:00,563] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.9142171Z __compiled_fn_224 .1795 opcode, name, target, args, kwargs 2022-11-23T01:37:54.9142260Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.9142359Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.9142460Z call_module, model_1, model_1, (model_0,), {} 2022-11-23T01:37:54.9142559Z output, output, output, ((model_1,),), {} 2022-11-23T01:37:54.9142566Z 2022-11-23T01:37:54.9142848Z [2022-11-23 01:33:00,564] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9142930Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.9143019Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9143175Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.9143270Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.9143347Z 8 RETURN_VALUE 2022-11-23T01:37:54.9143352Z 2022-11-23T01:37:54.9143412Z 2022-11-23T01:37:54.9143692Z [2022-11-23 01:33:00,564] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9143788Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_224) 2022-11-23T01:37:54.9143878Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9143967Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9144096Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.9144183Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.9144285Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.9144386Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:54.9144473Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9144539Z 16 BINARY_SUBSCR 2022-11-23T01:37:54.9144624Z 18 BUILD_TUPLE 1 2022-11-23T01:37:54.9144698Z 20 RETURN_VALUE 2022-11-23T01:37:54.9144703Z 2022-11-23T01:37:54.9144764Z 2022-11-23T01:37:54.9144952Z [2022-11-23 01:33:00,564] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.9145026Z - 2022-11-23T01:37:54.9145148Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.9145200Z { 2022-11-23T01:37:54.9145343Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.9145533Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.9145659Z 'obj_weakref': None 2022-11-23T01:37:54.9145886Z 'guarded_class': 2022-11-23T01:37:54.9145951Z } 2022-11-23T01:37:54.9146015Z 2022-11-23T01:37:54.9146072Z - 2022-11-23T01:37:54.9146198Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.9146264Z { 2022-11-23T01:37:54.9146411Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9146522Z 'code': None, 2022-11-23T01:37:54.9146739Z 'obj_weakref': 2022-11-23T01:37:54.9146992Z 'guarded_class': 2022-11-23T01:37:54.9147045Z } 2022-11-23T01:37:54.9147106Z 2022-11-23T01:37:54.9147177Z - 2022-11-23T01:37:54.9147297Z local 'model' NN_MODULE 2022-11-23T01:37:54.9147362Z { 2022-11-23T01:37:54.9147499Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.9147672Z 'code': ['___check_obj_id(model, 140538440759568)'], 2022-11-23T01:37:54.9147883Z 'obj_weakref': 2022-11-23T01:37:54.9148204Z 'guarded_class': 2022-11-23T01:37:54.9148277Z } 2022-11-23T01:37:54.9148339Z 2022-11-23T01:37:54.9148413Z - 2022-11-23T01:37:54.9148539Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.9148603Z { 2022-11-23T01:37:54.9148728Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.9148948Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.9149069Z 'obj_weakref': None 2022-11-23T01:37:54.9149291Z 'guarded_class': 2022-11-23T01:37:54.9149358Z } 2022-11-23T01:37:54.9149420Z 2022-11-23T01:37:54.9149492Z - 2022-11-23T01:37:54.9149627Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.9149691Z { 2022-11-23T01:37:54.9149812Z 'guard_types': None, 2022-11-23T01:37:54.9149964Z 'code': None, 2022-11-23T01:37:54.9150086Z 'obj_weakref': None 2022-11-23T01:37:54.9150211Z 'guarded_class': None 2022-11-23T01:37:54.9150275Z } 2022-11-23T01:37:54.9150326Z 2022-11-23T01:37:54.9150397Z - 2022-11-23T01:37:54.9150547Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.9150611Z { 2022-11-23T01:37:54.9150735Z 'guard_types': None, 2022-11-23T01:37:54.9150845Z 'code': None, 2022-11-23T01:37:54.9150954Z 'obj_weakref': None 2022-11-23T01:37:54.9151110Z 'guarded_class': None 2022-11-23T01:37:54.9151177Z } 2022-11-23T01:37:54.9151241Z 2022-11-23T01:37:54.9151313Z - 2022-11-23T01:37:54.9151463Z local_nn_module 'model[2]' NN_MODULE 2022-11-23T01:37:54.9151526Z { 2022-11-23T01:37:54.9151636Z 'guard_types': None, 2022-11-23T01:37:54.9151744Z 'code': None, 2022-11-23T01:37:54.9151868Z 'obj_weakref': None 2022-11-23T01:37:54.9151994Z 'guarded_class': None 2022-11-23T01:37:54.9152059Z } 2022-11-23T01:37:54.9152123Z 2022-11-23T01:37:54.9152390Z [2022-11-23 01:33:00,601] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 217 2022-11-23T01:37:54.9152753Z [2022-11-23 01:33:01,990] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/s3/cs3hhv6vnzgs2pftikvjdrq3moxsa7nkeyz7jbtfv724mhfgnvd3.py 2022-11-23T01:37:54.9153024Z [2022-11-23 01:33:01,991] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 217 2022-11-23T01:37:54.9153032Z 2022-11-23T01:37:54.9153128Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.9153197Z import torch 2022-11-23T01:37:54.9153267Z import random 2022-11-23T01:37:54.9153384Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.9153509Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.9153514Z 2022-11-23T01:37:54.9153594Z aten = torch.ops.aten 2022-11-23T01:37:54.9153717Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.9153811Z async_compile = AsyncCompile() 2022-11-23T01:37:54.9153816Z 2022-11-23T01:37:54.9153820Z 2022-11-23T01:37:54.9153959Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.9154172Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.9154289Z extern "C" void kernel(float* __restrict__ in_out_ptr0) 2022-11-23T01:37:54.9154351Z { 2022-11-23T01:37:54.9154437Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:54.9154499Z { 2022-11-23T01:37:54.9154628Z auto tmp0 = at::vec::Vectorized::loadu(in_out_ptr0 + 8*i0); 2022-11-23T01:37:54.9154765Z auto tmp1 = decltype(tmp0)(1)/(decltype(tmp0)(1) + tmp0.neg().exp()); 2022-11-23T01:37:54.9154858Z tmp1.store(in_out_ptr0 + 8*i0); 2022-11-23T01:37:54.9154925Z } 2022-11-23T01:37:54.9155017Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.9155100Z for(long i0=32; i0<32; i0+=1) 2022-11-23T01:37:54.9155162Z { 2022-11-23T01:37:54.9155235Z auto tmp0 = in_out_ptr0[i0]; 2022-11-23T01:37:54.9155371Z auto tmp1 = std::exp(-tmp0); 2022-11-23T01:37:54.9155455Z auto tmp2 = 1 / (1 + tmp1); 2022-11-23T01:37:54.9155539Z in_out_ptr0[i0] = tmp2; 2022-11-23T01:37:54.9155599Z } 2022-11-23T01:37:54.9155660Z } 2022-11-23T01:37:54.9155726Z ''') 2022-11-23T01:37:54.9155746Z 2022-11-23T01:37:54.9155750Z 2022-11-23T01:37:54.9155825Z async_compile.wait(globals()) 2022-11-23T01:37:54.9155903Z del async_compile 2022-11-23T01:37:54.9155908Z 2022-11-23T01:37:54.9155981Z def call(args): 2022-11-23T01:37:54.9156084Z primals_1, primals_2, primals_3 = args 2022-11-23T01:37:54.9156156Z args.clear() 2022-11-23T01:37:54.9156359Z buf0 = empty_strided((2, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.9156559Z aten.addmm.out(primals_2, primals_3, as_strided(primals_1, (8, 16), (1, 8)), beta=1, alpha=1, out=buf0) 2022-11-23T01:37:54.9156621Z del primals_1 2022-11-23T01:37:54.9156693Z del primals_2 2022-11-23T01:37:54.9156776Z buf1 = buf0; del buf0 # reuse 2022-11-23T01:37:54.9156878Z kernel_cpp_0(c_void_p(buf1.data_ptr())) 2022-11-23T01:37:54.9156966Z return (buf1, primals_3, buf1, ) 2022-11-23T01:37:54.9156971Z 2022-11-23T01:37:54.9156976Z 2022-11-23T01:37:54.9157052Z if __name__ == "__main__": 2022-11-23T01:37:54.9157163Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.9157282Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.9157517Z primals_1 = rand_strided((16, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.9157718Z primals_2 = rand_strided((16, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.9157921Z primals_3 = rand_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.9158062Z print_performance(lambda: call([primals_1, primals_2, primals_3])) 2022-11-23T01:37:54.9158067Z 2022-11-23T01:37:54.9158132Z ok (1.454s) 2022-11-23T01:37:54.9158444Z test_linear2_cpu (__main__.CpuTests) ... [2022-11-23 01:33:01,999] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.9158719Z [2022-11-23 01:33:01,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.9158942Z [2022-11-23 01:33:01,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.9159178Z [2022-11-23 01:33:01,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.9159461Z [2022-11-23 01:33:01,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.9159781Z [2022-11-23 01:33:01,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.9160034Z [2022-11-23 01:33:02,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9160272Z [2022-11-23 01:33:02,024] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.9160528Z [2022-11-23 01:33:02,026] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.9160780Z [2022-11-23 01:33:02,048] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.9160973Z [2022-11-23 01:33:02,049] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.9161109Z __compiled_fn_225 .1806 opcode, name, target, args, kwargs 2022-11-23T01:37:54.9161187Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.9161287Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.9161386Z call_module, model_1, model_1, (model_0,), {} 2022-11-23T01:37:54.9161488Z call_module, model_2, model_2, (model_1,), {} 2022-11-23T01:37:54.9161585Z call_module, model_3, model_3, (model_2,), {} 2022-11-23T01:37:54.9161682Z call_module, model_4, model_4, (model_3,), {} 2022-11-23T01:37:54.9161777Z call_module, model_5, model_5, (model_4,), {} 2022-11-23T01:37:54.9161872Z call_module, model_6, model_6, (model_5,), {} 2022-11-23T01:37:54.9161954Z call_module, model_7, model_7, (model_6,), {} 2022-11-23T01:37:54.9162051Z output, output, output, ((model_7,),), {} 2022-11-23T01:37:54.9162056Z 2022-11-23T01:37:54.9162336Z [2022-11-23 01:33:02,049] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9162431Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.9162522Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9162614Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.9162702Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.9162796Z 8 RETURN_VALUE 2022-11-23T01:37:54.9162814Z 2022-11-23T01:37:54.9162862Z 2022-11-23T01:37:54.9163139Z [2022-11-23 01:33:02,049] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9163246Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_225) 2022-11-23T01:37:54.9163335Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9163422Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9163496Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.9163586Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.9163695Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.9163771Z 12 RETURN_VALUE 2022-11-23T01:37:54.9163776Z 2022-11-23T01:37:54.9163834Z 2022-11-23T01:37:54.9164019Z [2022-11-23 01:33:02,050] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.9164091Z - 2022-11-23T01:37:54.9164211Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.9164277Z { 2022-11-23T01:37:54.9164408Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.9164600Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.9164722Z 'obj_weakref': None 2022-11-23T01:37:54.9164948Z 'guarded_class': 2022-11-23T01:37:54.9165012Z } 2022-11-23T01:37:54.9165074Z 2022-11-23T01:37:54.9165145Z - 2022-11-23T01:37:54.9165259Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.9165323Z { 2022-11-23T01:37:54.9165469Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9165578Z 'code': None, 2022-11-23T01:37:54.9165792Z 'obj_weakref': 2022-11-23T01:37:54.9166052Z 'guarded_class': 2022-11-23T01:37:54.9166116Z } 2022-11-23T01:37:54.9166167Z 2022-11-23T01:37:54.9166236Z - 2022-11-23T01:37:54.9166355Z local 'model' NN_MODULE 2022-11-23T01:37:54.9166418Z { 2022-11-23T01:37:54.9166552Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.9166722Z 'code': ['___check_obj_id(model, 140538440562000)'], 2022-11-23T01:37:54.9166945Z 'obj_weakref': 2022-11-23T01:37:54.9167170Z 'guarded_class': 2022-11-23T01:37:54.9167237Z } 2022-11-23T01:37:54.9167299Z 2022-11-23T01:37:54.9167369Z - 2022-11-23T01:37:54.9167497Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.9167559Z { 2022-11-23T01:37:54.9167699Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.9167911Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.9168030Z 'obj_weakref': None 2022-11-23T01:37:54.9168253Z 'guarded_class': 2022-11-23T01:37:54.9168316Z } 2022-11-23T01:37:54.9168380Z 2022-11-23T01:37:54.9168450Z - 2022-11-23T01:37:54.9168597Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.9168647Z { 2022-11-23T01:37:54.9168768Z 'guard_types': None, 2022-11-23T01:37:54.9168875Z 'code': None, 2022-11-23T01:37:54.9168997Z 'obj_weakref': None 2022-11-23T01:37:54.9169120Z 'guarded_class': None 2022-11-23T01:37:54.9169182Z } 2022-11-23T01:37:54.9169243Z 2022-11-23T01:37:54.9169300Z - 2022-11-23T01:37:54.9169446Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.9169509Z { 2022-11-23T01:37:54.9169668Z 'guard_types': None, 2022-11-23T01:37:54.9169778Z 'code': None, 2022-11-23T01:37:54.9169897Z 'obj_weakref': None 2022-11-23T01:37:54.9170019Z 'guarded_class': None 2022-11-23T01:37:54.9170069Z } 2022-11-23T01:37:54.9170128Z 2022-11-23T01:37:54.9170197Z - 2022-11-23T01:37:54.9170343Z local_nn_module 'model[2]' NN_MODULE 2022-11-23T01:37:54.9170404Z { 2022-11-23T01:37:54.9170525Z 'guard_types': None, 2022-11-23T01:37:54.9170620Z 'code': None, 2022-11-23T01:37:54.9170770Z 'obj_weakref': None 2022-11-23T01:37:54.9170894Z 'guarded_class': None 2022-11-23T01:37:54.9170955Z } 2022-11-23T01:37:54.9171016Z 2022-11-23T01:37:54.9171085Z - 2022-11-23T01:37:54.9171234Z local_nn_module 'model[3]' NN_MODULE 2022-11-23T01:37:54.9171283Z { 2022-11-23T01:37:54.9171407Z 'guard_types': None, 2022-11-23T01:37:54.9171516Z 'code': None, 2022-11-23T01:37:54.9171636Z 'obj_weakref': None 2022-11-23T01:37:54.9171757Z 'guarded_class': None 2022-11-23T01:37:54.9171818Z } 2022-11-23T01:37:54.9171877Z 2022-11-23T01:37:54.9171934Z - 2022-11-23T01:37:54.9172077Z local_nn_module 'model[4]' NN_MODULE 2022-11-23T01:37:54.9172140Z { 2022-11-23T01:37:54.9172262Z 'guard_types': None, 2022-11-23T01:37:54.9172370Z 'code': None, 2022-11-23T01:37:54.9172491Z 'obj_weakref': None 2022-11-23T01:37:54.9172603Z 'guarded_class': None 2022-11-23T01:37:54.9172664Z } 2022-11-23T01:37:54.9172726Z 2022-11-23T01:37:54.9172794Z - 2022-11-23T01:37:54.9172937Z local_nn_module 'model[5]' NN_MODULE 2022-11-23T01:37:54.9173000Z { 2022-11-23T01:37:54.9173119Z 'guard_types': None, 2022-11-23T01:37:54.9173215Z 'code': None, 2022-11-23T01:37:54.9173334Z 'obj_weakref': None 2022-11-23T01:37:54.9173454Z 'guarded_class': None 2022-11-23T01:37:54.9173516Z } 2022-11-23T01:37:54.9173577Z 2022-11-23T01:37:54.9173646Z - 2022-11-23T01:37:54.9173790Z local_nn_module 'model[6]' NN_MODULE 2022-11-23T01:37:54.9173840Z { 2022-11-23T01:37:54.9173959Z 'guard_types': None, 2022-11-23T01:37:54.9174066Z 'code': None, 2022-11-23T01:37:54.9174185Z 'obj_weakref': None 2022-11-23T01:37:54.9174308Z 'guarded_class': None 2022-11-23T01:37:54.9174369Z } 2022-11-23T01:37:54.9174419Z 2022-11-23T01:37:54.9174486Z - 2022-11-23T01:37:54.9174630Z local_nn_module 'model[7]' NN_MODULE 2022-11-23T01:37:54.9174691Z { 2022-11-23T01:37:54.9174810Z 'guard_types': None, 2022-11-23T01:37:54.9174919Z 'code': None, 2022-11-23T01:37:54.9175039Z 'obj_weakref': None 2022-11-23T01:37:54.9175149Z 'guarded_class': None 2022-11-23T01:37:54.9175211Z } 2022-11-23T01:37:54.9175272Z 2022-11-23T01:37:54.9175535Z [2022-11-23 01:33:02,167] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 218 2022-11-23T01:37:54.9175903Z [2022-11-23 01:33:03,610] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ue/cue2jpk2eu65jxgpli2o7r42gjrgs42ndrj5tudt7zs2pfpjnvwk.py 2022-11-23T01:37:54.9176173Z [2022-11-23 01:33:03,610] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 218 2022-11-23T01:37:54.9176181Z 2022-11-23T01:37:54.9176273Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.9176340Z import torch 2022-11-23T01:37:54.9176396Z import random 2022-11-23T01:37:54.9176509Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.9176663Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.9176669Z 2022-11-23T01:37:54.9176747Z aten = torch.ops.aten 2022-11-23T01:37:54.9176879Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.9176972Z async_compile = AsyncCompile() 2022-11-23T01:37:54.9176976Z 2022-11-23T01:37:54.9176982Z 2022-11-23T01:37:54.9177117Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:54.9177322Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.9177426Z extern "C" void kernel(float* __restrict__ in_out_ptr0) 2022-11-23T01:37:54.9177487Z { 2022-11-23T01:37:54.9177598Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:54.9177658Z { 2022-11-23T01:37:54.9177798Z auto tmp0 = at::vec::Vectorized::loadu(in_out_ptr0 + 8*i0); 2022-11-23T01:37:54.9177926Z auto tmp1 = at::vec::clamp_min(tmp0, decltype(tmp0)(0)); 2022-11-23T01:37:54.9178019Z tmp1.store(in_out_ptr0 + 8*i0); 2022-11-23T01:37:54.9178067Z } 2022-11-23T01:37:54.9178158Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.9178237Z for(long i0=16; i0<16; i0+=1) 2022-11-23T01:37:54.9178298Z { 2022-11-23T01:37:54.9178384Z auto tmp0 = in_out_ptr0[i0]; 2022-11-23T01:37:54.9178467Z auto tmp1 = tmp0 * (tmp0>0); 2022-11-23T01:37:54.9178546Z in_out_ptr0[i0] = tmp1; 2022-11-23T01:37:54.9178594Z } 2022-11-23T01:37:54.9178653Z } 2022-11-23T01:37:54.9178882Z ''') 2022-11-23T01:37:54.9178892Z 2022-11-23T01:37:54.9178898Z 2022-11-23T01:37:54.9179105Z kernel_cpp_1 = async_compile.cpp(''' 2022-11-23T01:37:54.9179314Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.9179432Z extern "C" void kernel(float* __restrict__ in_out_ptr0) 2022-11-23T01:37:54.9179492Z { 2022-11-23T01:37:54.9179558Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:54.9179618Z { 2022-11-23T01:37:54.9179755Z auto tmp0 = at::vec::Vectorized::loadu(in_out_ptr0 + 8*i0); 2022-11-23T01:37:54.9179880Z auto tmp1 = at::vec::clamp_min(tmp0, decltype(tmp0)(0)); 2022-11-23T01:37:54.9179971Z tmp1.store(in_out_ptr0 + 8*i0); 2022-11-23T01:37:54.9180032Z } 2022-11-23T01:37:54.9180121Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.9180188Z for(long i0=16; i0<16; i0+=1) 2022-11-23T01:37:54.9180247Z { 2022-11-23T01:37:54.9180332Z auto tmp0 = in_out_ptr0[i0]; 2022-11-23T01:37:54.9180415Z auto tmp1 = tmp0 * (tmp0>0); 2022-11-23T01:37:54.9180495Z in_out_ptr0[i0] = tmp1; 2022-11-23T01:37:54.9180556Z } 2022-11-23T01:37:54.9180616Z } 2022-11-23T01:37:54.9180688Z ''') 2022-11-23T01:37:54.9180692Z 2022-11-23T01:37:54.9180709Z 2022-11-23T01:37:54.9180829Z kernel_cpp_2 = async_compile.cpp(''' 2022-11-23T01:37:54.9181032Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.9181147Z extern "C" void kernel(float* __restrict__ in_out_ptr0) 2022-11-23T01:37:54.9181208Z { 2022-11-23T01:37:54.9181287Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:54.9181347Z { 2022-11-23T01:37:54.9181479Z auto tmp0 = at::vec::Vectorized::loadu(in_out_ptr0 + 8*i0); 2022-11-23T01:37:54.9181591Z auto tmp1 = at::vec::clamp_min(tmp0, decltype(tmp0)(0)); 2022-11-23T01:37:54.9181680Z tmp1.store(in_out_ptr0 + 8*i0); 2022-11-23T01:37:54.9181742Z } 2022-11-23T01:37:54.9181827Z #pragma omp simd simdlen(4) 2022-11-23T01:37:54.9181907Z for(long i0=16; i0<16; i0+=1) 2022-11-23T01:37:54.9181970Z { 2022-11-23T01:37:54.9182053Z auto tmp0 = in_out_ptr0[i0]; 2022-11-23T01:37:54.9182127Z auto tmp1 = tmp0 * (tmp0>0); 2022-11-23T01:37:54.9182204Z in_out_ptr0[i0] = tmp1; 2022-11-23T01:37:54.9182262Z } 2022-11-23T01:37:54.9182321Z } 2022-11-23T01:37:54.9182400Z ''') 2022-11-23T01:37:54.9182405Z 2022-11-23T01:37:54.9182410Z 2022-11-23T01:37:54.9182544Z kernel_cpp_3 = async_compile.cpp(''' 2022-11-23T01:37:54.9182807Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:54.9182913Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:37:54.9183012Z bool* __restrict__ out_ptr0) 2022-11-23T01:37:54.9183076Z { 2022-11-23T01:37:54.9183154Z #pragma GCC ivdep 2022-11-23T01:37:54.9183233Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:37:54.9183294Z { 2022-11-23T01:37:54.9183358Z { 2022-11-23T01:37:54.9183408Z { 2022-11-23T01:37:54.9183504Z auto tmp0 = in_out_ptr0[i0]; 2022-11-23T01:37:54.9183595Z auto tmp1 = tmp0 * (tmp0>0); 2022-11-23T01:37:54.9183737Z auto tmp2 = static_cast(0); 2022-11-23T01:37:54.9183824Z auto tmp3 = tmp1 <= tmp2; 2022-11-23T01:37:54.9183910Z in_out_ptr0[i0] = tmp1; 2022-11-23T01:37:54.9183992Z out_ptr0[i0] = tmp3; 2022-11-23T01:37:54.9184042Z } 2022-11-23T01:37:54.9184108Z } 2022-11-23T01:37:54.9184170Z } 2022-11-23T01:37:54.9184232Z } 2022-11-23T01:37:54.9184315Z ''') 2022-11-23T01:37:54.9184320Z 2022-11-23T01:37:54.9184324Z 2022-11-23T01:37:54.9184415Z async_compile.wait(globals()) 2022-11-23T01:37:54.9184492Z del async_compile 2022-11-23T01:37:54.9184497Z 2022-11-23T01:37:54.9184555Z def call(args): 2022-11-23T01:37:54.9184728Z primals_1, primals_2, primals_3, primals_4, primals_5, primals_6, primals_7, primals_8, primals_9 = args 2022-11-23T01:37:54.9184803Z args.clear() 2022-11-23T01:37:54.9185004Z buf0 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.9185173Z aten.addmm.out(primals_2, primals_9, as_strided(primals_1, (8, 8), (1, 8)), beta=1, alpha=1, out=buf0) 2022-11-23T01:37:54.9185247Z del primals_1 2022-11-23T01:37:54.9185320Z del primals_2 2022-11-23T01:37:54.9185393Z buf1 = buf0; del buf0 # reuse 2022-11-23T01:37:54.9185497Z kernel_cpp_0(c_void_p(buf1.data_ptr())) 2022-11-23T01:37:54.9185697Z buf2 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.9185854Z aten.addmm.out(primals_4, buf1, as_strided(primals_3, (8, 8), (1, 8)), beta=1, alpha=1, out=buf2) 2022-11-23T01:37:54.9185927Z del primals_4 2022-11-23T01:37:54.9186011Z buf3 = buf2; del buf2 # reuse 2022-11-23T01:37:54.9186116Z kernel_cpp_1(c_void_p(buf3.data_ptr())) 2022-11-23T01:37:54.9186315Z buf4 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.9186460Z aten.addmm.out(primals_6, buf3, as_strided(primals_5, (8, 8), (1, 8)), beta=1, alpha=1, out=buf4) 2022-11-23T01:37:54.9186536Z del primals_6 2022-11-23T01:37:54.9186621Z buf5 = buf4; del buf4 # reuse 2022-11-23T01:37:54.9186723Z kernel_cpp_2(c_void_p(buf5.data_ptr())) 2022-11-23T01:37:54.9186923Z buf6 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.9187079Z aten.addmm.out(primals_8, buf5, as_strided(primals_7, (8, 8), (1, 8)), beta=1, alpha=1, out=buf6) 2022-11-23T01:37:54.9187154Z del primals_8 2022-11-23T01:37:54.9187226Z buf7 = buf6; del buf6 # reuse 2022-11-23T01:37:54.9187421Z buf8 = empty_strided((2, 8), (8, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:37:54.9187555Z kernel_cpp_3(c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr())) 2022-11-23T01:37:54.9187758Z return (buf7, primals_9, buf1, buf3, buf5, buf8, as_strided(primals_7, (8, 8), (8, 1)), as_strided(primals_5, (8, 8), (8, 1)), as_strided(primals_3, (8, 8), (8, 1)), ) 2022-11-23T01:37:54.9187764Z 2022-11-23T01:37:54.9187768Z 2022-11-23T01:37:54.9187847Z if __name__ == "__main__": 2022-11-23T01:37:54.9187966Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.9188090Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.9188393Z primals_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.9188595Z primals_2 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.9188819Z primals_3 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.9189021Z primals_4 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.9189224Z primals_5 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.9189425Z primals_6 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.9189629Z primals_7 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.9189827Z primals_8 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.9190081Z primals_9 = rand_strided((2, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:54.9190290Z print_performance(lambda: call([primals_1, primals_2, primals_3, primals_4, primals_5, primals_6, primals_7, primals_8, primals_9])) 2022-11-23T01:37:54.9190297Z 2022-11-23T01:37:54.9190351Z ok (1.619s) 2022-11-23T01:37:54.9190670Z test_linear_binary_cpu (__main__.CpuTests) ... [2022-11-23 01:33:03,642] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.9190949Z [2022-11-23 01:33:03,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.9191173Z [2022-11-23 01:33:03,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.9191424Z [2022-11-23 01:33:03,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.9191709Z [2022-11-23 01:33:03,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.9192031Z [2022-11-23 01:33:03,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.9192373Z [2022-11-23 01:33:03,643] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.9192467Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9192549Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:37:54.9192641Z 4 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9192727Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9192819Z 8 STORE_FAST 1 (x) 2022-11-23T01:37:54.9192825Z 2022-11-23T01:37:54.9192915Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9193010Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:37:54.9193099Z 14 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9193185Z 16 LOAD_FAST 2 (y) 2022-11-23T01:37:54.9193262Z 18 CALL_METHOD 2 2022-11-23T01:37:54.9193347Z 20 STORE_FAST 1 (x) 2022-11-23T01:37:54.9193352Z 2022-11-23T01:37:54.9193437Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9193513Z 24 RETURN_VALUE 2022-11-23T01:37:54.9193573Z 2022-11-23T01:37:54.9193578Z 2022-11-23T01:37:54.9193852Z [2022-11-23 01:33:03,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630 2022-11-23T01:37:54.9194066Z [2022-11-23 01:33:03,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9194318Z [2022-11-23 01:33:03,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:37:54.9194549Z [2022-11-23 01:33:03,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:37:54.9194831Z [2022-11-23 01:33:03,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:37:54.9195075Z [2022-11-23 01:33:03,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9195375Z [2022-11-23 01:33:03,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631 2022-11-23T01:37:54.9195591Z [2022-11-23 01:33:03,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9195847Z [2022-11-23 01:33:03,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:37:54.9196100Z [2022-11-23 01:33:03,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:37:54.9196381Z [2022-11-23 01:33:03,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:37:54.9196726Z [2022-11-23 01:33:03,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9197062Z [2022-11-23 01:33:03,653] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd2372c4d20, file "inductor/test_torchinductor.py", line 106> 2022-11-23T01:37:54.9197149Z 106 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.9197242Z 2 LOAD_METHOD 1 (add) 2022-11-23T01:37:54.9197330Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:54.9197418Z 6 LOAD_FAST 1 (y) 2022-11-23T01:37:54.9197507Z 8 CALL_METHOD 2 2022-11-23T01:37:54.9197584Z 10 RETURN_VALUE 2022-11-23T01:37:54.9197645Z 2022-11-23T01:37:54.9197650Z 2022-11-23T01:37:54.9197860Z [2022-11-23 01:33:03,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.9198231Z [2022-11-23 01:33:03,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable()] 2022-11-23T01:37:54.9198551Z [2022-11-23 01:33:03,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:37:54.9198899Z [2022-11-23 01:33:03,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.9199283Z [2022-11-23 01:33:03,654] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9199534Z [2022-11-23 01:33:03,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9199874Z [2022-11-23 01:33:03,655] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd2372c4d20, file "inductor/test_torchinductor.py", line 106> 2022-11-23T01:37:54.9200120Z [2022-11-23 01:33:03,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9200391Z [2022-11-23 01:33:03,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632 2022-11-23T01:37:54.9200603Z [2022-11-23 01:33:03,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9200850Z [2022-11-23 01:33:03,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9201176Z [2022-11-23 01:33:03,655] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.9201425Z [2022-11-23 01:33:03,655] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9201664Z [2022-11-23 01:33:03,655] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.9201922Z [2022-11-23 01:33:03,656] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.9202174Z [2022-11-23 01:33:03,668] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.9202399Z [2022-11-23 01:33:03,669] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.9202534Z __compiled_fn_226 .1822 opcode, name, target, args, kwargs 2022-11-23T01:37:54.9202623Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.9202696Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.9202817Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:37:54.9202923Z output, output, output, ((model_linear,),), {} 2022-11-23T01:37:54.9202928Z 2022-11-23T01:37:54.9203207Z [2022-11-23 01:33:03,669] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9203334Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.9203425Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9203515Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.9203606Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.9203673Z 8 RETURN_VALUE 2022-11-23T01:37:54.9203689Z 2022-11-23T01:37:54.9203738Z 2022-11-23T01:37:54.9204015Z [2022-11-23 01:33:03,669] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9204123Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_226) 2022-11-23T01:37:54.9204214Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9204302Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9204379Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.9204468Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9204548Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.9204621Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.9204708Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.9204798Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.9204873Z 18 RETURN_VALUE 2022-11-23T01:37:54.9204879Z 2022-11-23T01:37:54.9204939Z 2022-11-23T01:37:54.9205125Z [2022-11-23 01:33:03,670] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.9205187Z - 2022-11-23T01:37:54.9205309Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.9205373Z { 2022-11-23T01:37:54.9205517Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.9205708Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.9205830Z 'obj_weakref': None 2022-11-23T01:37:54.9206055Z 'guarded_class': 2022-11-23T01:37:54.9206112Z } 2022-11-23T01:37:54.9206173Z 2022-11-23T01:37:54.9206244Z - 2022-11-23T01:37:54.9206371Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.9206435Z { 2022-11-23T01:37:54.9206580Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9206687Z 'code': None, 2022-11-23T01:37:54.9206893Z 'obj_weakref': 2022-11-23T01:37:54.9207150Z 'guarded_class': 2022-11-23T01:37:54.9207214Z } 2022-11-23T01:37:54.9207276Z 2022-11-23T01:37:54.9207347Z - 2022-11-23T01:37:54.9207472Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.9207534Z { 2022-11-23T01:37:54.9207667Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9207774Z 'code': None, 2022-11-23T01:37:54.9207988Z 'obj_weakref': 2022-11-23T01:37:54.9208246Z 'guarded_class': 2022-11-23T01:37:54.9208309Z } 2022-11-23T01:37:54.9208371Z 2022-11-23T01:37:54.9208441Z - 2022-11-23T01:37:54.9208551Z local 'model' NN_MODULE 2022-11-23T01:37:54.9208654Z { 2022-11-23T01:37:54.9208794Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.9208967Z 'code': ['___check_obj_id(model, 140538913618640)'], 2022-11-23T01:37:54.9209176Z 'obj_weakref': 2022-11-23T01:37:54.9209395Z 'guarded_class': 2022-11-23T01:37:54.9209458Z } 2022-11-23T01:37:54.9209506Z 2022-11-23T01:37:54.9209577Z - 2022-11-23T01:37:54.9209698Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.9209794Z { 2022-11-23T01:37:54.9209933Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.9210155Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.9210277Z 'obj_weakref': None 2022-11-23T01:37:54.9210490Z 'guarded_class': 2022-11-23T01:37:54.9210554Z } 2022-11-23T01:37:54.9210615Z 2022-11-23T01:37:54.9210684Z - 2022-11-23T01:37:54.9210821Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.9210885Z { 2022-11-23T01:37:54.9211007Z 'guard_types': None, 2022-11-23T01:37:54.9211102Z 'code': None, 2022-11-23T01:37:54.9211222Z 'obj_weakref': None 2022-11-23T01:37:54.9211345Z 'guarded_class': None 2022-11-23T01:37:54.9211406Z } 2022-11-23T01:37:54.9211468Z 2022-11-23T01:37:54.9211540Z - 2022-11-23T01:37:54.9211696Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:37:54.9211746Z { 2022-11-23T01:37:54.9211866Z 'guard_types': None, 2022-11-23T01:37:54.9211973Z 'code': None, 2022-11-23T01:37:54.9212092Z 'obj_weakref': None 2022-11-23T01:37:54.9212215Z 'guarded_class': None 2022-11-23T01:37:54.9212285Z } 2022-11-23T01:37:54.9212367Z 2022-11-23T01:37:54.9212479Z - 2022-11-23T01:37:54.9212691Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:37:54.9212756Z { 2022-11-23T01:37:54.9212877Z 'guard_types': None, 2022-11-23T01:37:54.9212986Z 'code': None, 2022-11-23T01:37:54.9213106Z 'obj_weakref': None 2022-11-23T01:37:54.9213215Z 'guarded_class': None 2022-11-23T01:37:54.9213276Z } 2022-11-23T01:37:54.9213339Z 2022-11-23T01:37:54.9213608Z [2022-11-23 01:33:03,688] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 219 2022-11-23T01:37:54.9213975Z [2022-11-23 01:33:03,691] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5d/c5dsv3el7c6fgq7kbbkwdeckk6lcht45aln7aokul6q54loivrir.py 2022-11-23T01:37:54.9214245Z [2022-11-23 01:33:03,691] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 219 2022-11-23T01:37:54.9214483Z [2022-11-23 01:33:03,695] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.9214753Z [2022-11-23 01:33:03,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.9214960Z [2022-11-23 01:33:03,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.9215205Z [2022-11-23 01:33:03,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.9215481Z [2022-11-23 01:33:03,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.9215801Z [2022-11-23 01:33:03,695] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.9216173Z [2022-11-23 01:33:03,695] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.9216269Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9216366Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:37:54.9216455Z 4 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9216545Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9216623Z 8 STORE_FAST 1 (x) 2022-11-23T01:37:54.9216628Z 2022-11-23T01:37:54.9216719Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9216845Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:37:54.9216934Z 14 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9217022Z 16 LOAD_FAST 2 (y) 2022-11-23T01:37:54.9217110Z 18 CALL_METHOD 2 2022-11-23T01:37:54.9217196Z 20 STORE_FAST 1 (x) 2022-11-23T01:37:54.9217201Z 2022-11-23T01:37:54.9217287Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9217351Z 24 RETURN_VALUE 2022-11-23T01:37:54.9217410Z 2022-11-23T01:37:54.9217415Z 2022-11-23T01:37:54.9217691Z [2022-11-23 01:33:03,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630 2022-11-23T01:37:54.9217909Z [2022-11-23 01:33:03,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9218163Z [2022-11-23 01:33:03,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:37:54.9218413Z [2022-11-23 01:33:03,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:37:54.9218690Z [2022-11-23 01:33:03,696] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:37:54.9219146Z [2022-11-23 01:33:03,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9219424Z [2022-11-23 01:33:03,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631 2022-11-23T01:37:54.9219628Z [2022-11-23 01:33:03,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9219880Z [2022-11-23 01:33:03,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:37:54.9220133Z [2022-11-23 01:33:03,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:37:54.9220413Z [2022-11-23 01:33:03,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:37:54.9220733Z [2022-11-23 01:33:03,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9221074Z [2022-11-23 01:33:03,699] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd2372c4d20, file "inductor/test_torchinductor.py", line 106> 2022-11-23T01:37:54.9221170Z 106 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.9221263Z 2 LOAD_METHOD 1 (add) 2022-11-23T01:37:54.9221354Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:54.9221433Z 6 LOAD_FAST 1 (y) 2022-11-23T01:37:54.9221519Z 8 CALL_METHOD 2 2022-11-23T01:37:54.9221594Z 10 RETURN_VALUE 2022-11-23T01:37:54.9221654Z 2022-11-23T01:37:54.9221660Z 2022-11-23T01:37:54.9221880Z [2022-11-23 01:33:03,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.9222250Z [2022-11-23 01:33:03,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable()] 2022-11-23T01:37:54.9222632Z [2022-11-23 01:33:03,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:37:54.9222983Z [2022-11-23 01:33:03,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.9223363Z [2022-11-23 01:33:03,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9223599Z [2022-11-23 01:33:03,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9223980Z [2022-11-23 01:33:03,701] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd2372c4d20, file "inductor/test_torchinductor.py", line 106> 2022-11-23T01:37:54.9224224Z [2022-11-23 01:33:03,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9224497Z [2022-11-23 01:33:03,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632 2022-11-23T01:37:54.9224710Z [2022-11-23 01:33:03,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9224960Z [2022-11-23 01:33:03,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9225300Z [2022-11-23 01:33:03,701] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.9225550Z [2022-11-23 01:33:03,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9225791Z [2022-11-23 01:33:03,702] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.9226036Z [2022-11-23 01:33:03,702] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.9226292Z [2022-11-23 01:33:03,709] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.9226483Z [2022-11-23 01:33:03,709] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.9226619Z __compiled_fn_227 .1833 opcode, name, target, args, kwargs 2022-11-23T01:37:54.9226707Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.9226791Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.9226913Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:37:54.9227022Z output, output, output, ((model_linear,),), {} 2022-11-23T01:37:54.9227027Z 2022-11-23T01:37:54.9227295Z [2022-11-23 01:33:03,710] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9227393Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.9227481Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9227573Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.9227664Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.9227739Z 8 RETURN_VALUE 2022-11-23T01:37:54.9227744Z 2022-11-23T01:37:54.9227801Z 2022-11-23T01:37:54.9228076Z [2022-11-23 01:33:03,710] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9228247Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_227) 2022-11-23T01:37:54.9228343Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9228436Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9228511Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.9228599Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9228690Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.9228764Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.9228839Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.9228929Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.9229003Z 18 RETURN_VALUE 2022-11-23T01:37:54.9229045Z 2022-11-23T01:37:54.9229108Z 2022-11-23T01:37:54.9229303Z [2022-11-23 01:33:03,711] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.9229377Z - 2022-11-23T01:37:54.9229500Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.9229552Z { 2022-11-23T01:37:54.9229697Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.9229888Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.9230013Z 'obj_weakref': None 2022-11-23T01:37:54.9230242Z 'guarded_class': 2022-11-23T01:37:54.9230340Z } 2022-11-23T01:37:54.9230405Z 2022-11-23T01:37:54.9230464Z - 2022-11-23T01:37:54.9230593Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.9230659Z { 2022-11-23T01:37:54.9230806Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9230918Z 'code': None, 2022-11-23T01:37:54.9231142Z 'obj_weakref': 2022-11-23T01:37:54.9231402Z 'guarded_class': 2022-11-23T01:37:54.9231468Z } 2022-11-23T01:37:54.9231519Z 2022-11-23T01:37:54.9231591Z - 2022-11-23T01:37:54.9231719Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.9231784Z { 2022-11-23T01:37:54.9231931Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9232046Z 'code': None, 2022-11-23T01:37:54.9232251Z 'obj_weakref': 2022-11-23T01:37:54.9232511Z 'guarded_class': 2022-11-23T01:37:54.9232578Z } 2022-11-23T01:37:54.9232644Z 2022-11-23T01:37:54.9232718Z - 2022-11-23T01:37:54.9232849Z local 'model' NN_MODULE 2022-11-23T01:37:54.9232913Z { 2022-11-23T01:37:54.9233038Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.9233213Z 'code': ['___check_obj_id(model, 140538440564624)'], 2022-11-23T01:37:54.9233418Z 'obj_weakref': 2022-11-23T01:37:54.9233638Z 'guarded_class': 2022-11-23T01:37:54.9233706Z } 2022-11-23T01:37:54.9233769Z 2022-11-23T01:37:54.9233843Z - 2022-11-23T01:37:54.9233972Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.9234025Z { 2022-11-23T01:37:54.9234165Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.9234388Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.9234513Z 'obj_weakref': None 2022-11-23T01:37:54.9234739Z 'guarded_class': 2022-11-23T01:37:54.9234806Z } 2022-11-23T01:37:54.9234867Z 2022-11-23T01:37:54.9234924Z - 2022-11-23T01:37:54.9235060Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.9235127Z { 2022-11-23T01:37:54.9235249Z 'guard_types': None, 2022-11-23T01:37:54.9235358Z 'code': None, 2022-11-23T01:37:54.9235480Z 'obj_weakref': None 2022-11-23T01:37:54.9235590Z 'guarded_class': None 2022-11-23T01:37:54.9235658Z } 2022-11-23T01:37:54.9235724Z 2022-11-23T01:37:54.9235796Z - 2022-11-23T01:37:54.9235954Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:37:54.9236022Z { 2022-11-23T01:37:54.9236145Z 'guard_types': None, 2022-11-23T01:37:54.9236241Z 'code': None, 2022-11-23T01:37:54.9236357Z 'obj_weakref': None 2022-11-23T01:37:54.9236516Z 'guarded_class': None 2022-11-23T01:37:54.9236579Z } 2022-11-23T01:37:54.9236641Z 2022-11-23T01:37:54.9236711Z - 2022-11-23T01:37:54.9236881Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:37:54.9236931Z { 2022-11-23T01:37:54.9237050Z 'guard_types': None, 2022-11-23T01:37:54.9237156Z 'code': None, 2022-11-23T01:37:54.9237276Z 'obj_weakref': None 2022-11-23T01:37:54.9237396Z 'guarded_class': None 2022-11-23T01:37:54.9237459Z } 2022-11-23T01:37:54.9237601Z 2022-11-23T01:37:54.9237855Z [2022-11-23 01:33:03,722] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 220 2022-11-23T01:37:54.9238228Z [2022-11-23 01:33:03,724] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qu/cquma5ybkv6g6jlcntdqvhs4w2ymqqjsrfexd35ykh6iiq2xlyjg.py 2022-11-23T01:37:54.9238501Z [2022-11-23 01:33:03,724] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 220 2022-11-23T01:37:54.9238742Z [2022-11-23 01:33:03,727] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.9239010Z [2022-11-23 01:33:03,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.9239232Z [2022-11-23 01:33:03,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.9239477Z [2022-11-23 01:33:03,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.9239758Z [2022-11-23 01:33:03,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.9240078Z [2022-11-23 01:33:03,727] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.9240403Z [2022-11-23 01:33:03,728] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.9240499Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9240595Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:37:54.9240684Z 4 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9240773Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9240863Z 8 STORE_FAST 1 (x) 2022-11-23T01:37:54.9240868Z 2022-11-23T01:37:54.9240959Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9241057Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:37:54.9241133Z 14 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9241219Z 16 LOAD_FAST 2 (y) 2022-11-23T01:37:54.9241306Z 18 CALL_METHOD 2 2022-11-23T01:37:54.9241393Z 20 STORE_FAST 1 (x) 2022-11-23T01:37:54.9241398Z 2022-11-23T01:37:54.9241482Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9241556Z 24 RETURN_VALUE 2022-11-23T01:37:54.9241617Z 2022-11-23T01:37:54.9241622Z 2022-11-23T01:37:54.9241896Z [2022-11-23 01:33:03,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630 2022-11-23T01:37:54.9242098Z [2022-11-23 01:33:03,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9242349Z [2022-11-23 01:33:03,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:37:54.9242596Z [2022-11-23 01:33:03,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:37:54.9242878Z [2022-11-23 01:33:03,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:37:54.9243151Z [2022-11-23 01:33:03,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9243425Z [2022-11-23 01:33:03,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631 2022-11-23T01:37:54.9243638Z [2022-11-23 01:33:03,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9243896Z [2022-11-23 01:33:03,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:37:54.9244148Z [2022-11-23 01:33:03,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:37:54.9244415Z [2022-11-23 01:33:03,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:37:54.9244761Z [2022-11-23 01:33:03,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9245100Z [2022-11-23 01:33:03,736] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd2372c4d20, file "inductor/test_torchinductor.py", line 106> 2022-11-23T01:37:54.9245197Z 106 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.9245291Z 2 LOAD_METHOD 1 (add) 2022-11-23T01:37:54.9245381Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:54.9245471Z 6 LOAD_FAST 1 (y) 2022-11-23T01:37:54.9245559Z 8 CALL_METHOD 2 2022-11-23T01:37:54.9245622Z 10 RETURN_VALUE 2022-11-23T01:37:54.9245682Z 2022-11-23T01:37:54.9245687Z 2022-11-23T01:37:54.9245913Z [2022-11-23 01:33:03,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.9246281Z [2022-11-23 01:33:03,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable()] 2022-11-23T01:37:54.9246604Z [2022-11-23 01:33:03,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:37:54.9246949Z [2022-11-23 01:33:03,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.9247328Z [2022-11-23 01:33:03,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9247574Z [2022-11-23 01:33:03,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9247917Z [2022-11-23 01:33:03,738] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd2372c4d20, file "inductor/test_torchinductor.py", line 106> 2022-11-23T01:37:54.9248160Z [2022-11-23 01:33:03,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9248419Z [2022-11-23 01:33:03,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632 2022-11-23T01:37:54.9248631Z [2022-11-23 01:33:03,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9248880Z [2022-11-23 01:33:03,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9249217Z [2022-11-23 01:33:03,738] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.9249465Z [2022-11-23 01:33:03,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9249706Z [2022-11-23 01:33:03,738] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.9249961Z [2022-11-23 01:33:03,739] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.9250240Z [2022-11-23 01:33:03,750] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.9250436Z [2022-11-23 01:33:03,750] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.9250557Z __compiled_fn_228 .1844 opcode, name, target, args, kwargs 2022-11-23T01:37:54.9250646Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.9250733Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.9250854Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:37:54.9250959Z output, output, output, ((model_linear,),), {} 2022-11-23T01:37:54.9251008Z 2022-11-23T01:37:54.9251290Z [2022-11-23 01:33:03,750] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9251382Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.9251472Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9251552Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.9251643Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.9251720Z 8 RETURN_VALUE 2022-11-23T01:37:54.9251725Z 2022-11-23T01:37:54.9251786Z 2022-11-23T01:37:54.9252064Z [2022-11-23 01:33:03,750] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9252173Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_228) 2022-11-23T01:37:54.9252262Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9252349Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9252413Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.9252503Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9252588Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.9252663Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.9252751Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.9252841Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.9252919Z 18 RETURN_VALUE 2022-11-23T01:37:54.9252924Z 2022-11-23T01:37:54.9252971Z 2022-11-23T01:37:54.9253156Z [2022-11-23 01:33:03,751] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.9253226Z - 2022-11-23T01:37:54.9253347Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.9253411Z { 2022-11-23T01:37:54.9253554Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.9253743Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.9253851Z 'obj_weakref': None 2022-11-23T01:37:54.9254076Z 'guarded_class': 2022-11-23T01:37:54.9254143Z } 2022-11-23T01:37:54.9254206Z 2022-11-23T01:37:54.9254275Z - 2022-11-23T01:37:54.9254400Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.9254461Z { 2022-11-23T01:37:54.9254594Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9254704Z 'code': None, 2022-11-23T01:37:54.9254920Z 'obj_weakref': 2022-11-23T01:37:54.9255176Z 'guarded_class': 2022-11-23T01:37:54.9255242Z } 2022-11-23T01:37:54.9255304Z 2022-11-23T01:37:54.9255373Z - 2022-11-23T01:37:54.9255487Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.9255549Z { 2022-11-23T01:37:54.9255693Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9255806Z 'code': None, 2022-11-23T01:37:54.9256020Z 'obj_weakref': 2022-11-23T01:37:54.9256273Z 'guarded_class': 2022-11-23T01:37:54.9256336Z } 2022-11-23T01:37:54.9256416Z 2022-11-23T01:37:54.9256489Z - 2022-11-23T01:37:54.9256611Z local 'model' NN_MODULE 2022-11-23T01:37:54.9256672Z { 2022-11-23T01:37:54.9256809Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.9256981Z 'code': ['___check_obj_id(model, 140538740491408)'], 2022-11-23T01:37:54.9257187Z 'obj_weakref': 2022-11-23T01:37:54.9257390Z 'guarded_class': 2022-11-23T01:37:54.9257456Z } 2022-11-23T01:37:54.9257552Z 2022-11-23T01:37:54.9257623Z - 2022-11-23T01:37:54.9257746Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.9257809Z { 2022-11-23T01:37:54.9257947Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.9258155Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.9258278Z 'obj_weakref': None 2022-11-23T01:37:54.9258500Z 'guarded_class': 2022-11-23T01:37:54.9258563Z } 2022-11-23T01:37:54.9258625Z 2022-11-23T01:37:54.9258694Z - 2022-11-23T01:37:54.9259018Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.9259112Z { 2022-11-23T01:37:54.9259244Z 'guard_types': None, 2022-11-23T01:37:54.9259352Z 'code': None, 2022-11-23T01:37:54.9259470Z 'obj_weakref': None 2022-11-23T01:37:54.9259594Z 'guarded_class': None 2022-11-23T01:37:54.9259659Z } 2022-11-23T01:37:54.9259722Z 2022-11-23T01:37:54.9259780Z - 2022-11-23T01:37:54.9259940Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:37:54.9260006Z { 2022-11-23T01:37:54.9260127Z 'guard_types': None, 2022-11-23T01:37:54.9260236Z 'code': None, 2022-11-23T01:37:54.9260357Z 'obj_weakref': None 2022-11-23T01:37:54.9260480Z 'guarded_class': None 2022-11-23T01:37:54.9260532Z } 2022-11-23T01:37:54.9260592Z 2022-11-23T01:37:54.9260664Z - 2022-11-23T01:37:54.9260833Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:37:54.9260895Z { 2022-11-23T01:37:54.9261013Z 'guard_types': None, 2022-11-23T01:37:54.9261107Z 'code': None, 2022-11-23T01:37:54.9261224Z 'obj_weakref': None 2022-11-23T01:37:54.9261345Z 'guarded_class': None 2022-11-23T01:37:54.9261410Z } 2022-11-23T01:37:54.9261471Z 2022-11-23T01:37:54.9261735Z [2022-11-23 01:33:03,762] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 221 2022-11-23T01:37:54.9262105Z [2022-11-23 01:33:03,764] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/g7/cg7to27trjjhu55dlkqkntb6q5dznx7eohp57zne2hp5rrqocksh.py 2022-11-23T01:37:54.9262376Z [2022-11-23 01:33:03,764] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 221 2022-11-23T01:37:54.9262604Z [2022-11-23 01:33:03,767] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.9262874Z [2022-11-23 01:33:03,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.9263095Z [2022-11-23 01:33:03,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.9263342Z [2022-11-23 01:33:03,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.9263624Z [2022-11-23 01:33:03,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.9264014Z [2022-11-23 01:33:03,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.9264354Z [2022-11-23 01:33:03,768] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.9264451Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9264546Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:37:54.9264625Z 4 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9264713Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9264803Z 8 STORE_FAST 1 (x) 2022-11-23T01:37:54.9264808Z 2022-11-23T01:37:54.9264942Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9265039Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:37:54.9265127Z 14 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9265215Z 16 LOAD_FAST 2 (y) 2022-11-23T01:37:54.9265289Z 18 CALL_METHOD 2 2022-11-23T01:37:54.9265379Z 20 STORE_FAST 1 (x) 2022-11-23T01:37:54.9265383Z 2022-11-23T01:37:54.9265468Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9265542Z 24 RETURN_VALUE 2022-11-23T01:37:54.9265601Z 2022-11-23T01:37:54.9265606Z 2022-11-23T01:37:54.9265882Z [2022-11-23 01:33:03,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630 2022-11-23T01:37:54.9266099Z [2022-11-23 01:33:03,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9266351Z [2022-11-23 01:33:03,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:37:54.9266597Z [2022-11-23 01:33:03,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:37:54.9266867Z [2022-11-23 01:33:03,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:37:54.9267109Z [2022-11-23 01:33:03,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9267382Z [2022-11-23 01:33:03,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631 2022-11-23T01:37:54.9267596Z [2022-11-23 01:33:03,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9267851Z [2022-11-23 01:33:03,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:37:54.9268178Z [2022-11-23 01:33:03,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:37:54.9268471Z [2022-11-23 01:33:03,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:37:54.9268788Z [2022-11-23 01:33:03,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9269132Z [2022-11-23 01:33:03,771] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd2372c4d20, file "inductor/test_torchinductor.py", line 106> 2022-11-23T01:37:54.9269216Z 106 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.9269310Z 2 LOAD_METHOD 1 (add) 2022-11-23T01:37:54.9269401Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:54.9269488Z 6 LOAD_FAST 1 (y) 2022-11-23T01:37:54.9269575Z 8 CALL_METHOD 2 2022-11-23T01:37:54.9269650Z 10 RETURN_VALUE 2022-11-23T01:37:54.9269710Z 2022-11-23T01:37:54.9269718Z 2022-11-23T01:37:54.9269939Z [2022-11-23 01:33:03,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.9270292Z [2022-11-23 01:33:03,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable()] 2022-11-23T01:37:54.9270653Z [2022-11-23 01:33:03,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:37:54.9271003Z [2022-11-23 01:33:03,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.9271383Z [2022-11-23 01:33:03,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9271629Z [2022-11-23 01:33:03,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9272001Z [2022-11-23 01:33:03,773] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd2372c4d20, file "inductor/test_torchinductor.py", line 106> 2022-11-23T01:37:54.9272246Z [2022-11-23 01:33:03,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9272517Z [2022-11-23 01:33:03,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632 2022-11-23T01:37:54.9272729Z [2022-11-23 01:33:03,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9272980Z [2022-11-23 01:33:03,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9273316Z [2022-11-23 01:33:03,773] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.9273556Z [2022-11-23 01:33:03,773] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9273793Z [2022-11-23 01:33:03,773] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.9274051Z [2022-11-23 01:33:03,774] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.9274303Z [2022-11-23 01:33:03,780] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.9274497Z [2022-11-23 01:33:03,780] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.9274633Z __compiled_fn_229 .1855 opcode, name, target, args, kwargs 2022-11-23T01:37:54.9274723Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.9274811Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.9274920Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:37:54.9275029Z output, output, output, ((model_linear,),), {} 2022-11-23T01:37:54.9275037Z 2022-11-23T01:37:54.9275319Z [2022-11-23 01:33:03,781] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9275415Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.9275511Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9275608Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.9275700Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.9275778Z 8 RETURN_VALUE 2022-11-23T01:37:54.9275783Z 2022-11-23T01:37:54.9275831Z 2022-11-23T01:37:54.9276114Z [2022-11-23 01:33:03,781] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9276225Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_229) 2022-11-23T01:37:54.9276314Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9276405Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9276485Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.9276576Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9276649Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.9276727Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.9276816Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.9276939Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.9277020Z 18 RETURN_VALUE 2022-11-23T01:37:54.9277024Z 2022-11-23T01:37:54.9277087Z 2022-11-23T01:37:54.9277275Z [2022-11-23 01:33:03,781] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.9277334Z - 2022-11-23T01:37:54.9277456Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.9277524Z { 2022-11-23T01:37:54.9277669Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.9277861Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.9277986Z 'obj_weakref': None 2022-11-23T01:37:54.9278251Z 'guarded_class': 2022-11-23T01:37:54.9278316Z } 2022-11-23T01:37:54.9278366Z 2022-11-23T01:37:54.9278440Z - 2022-11-23T01:37:54.9278568Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.9278632Z { 2022-11-23T01:37:54.9278781Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9278892Z 'code': None, 2022-11-23T01:37:54.9279096Z 'obj_weakref': 2022-11-23T01:37:54.9279354Z 'guarded_class': 2022-11-23T01:37:54.9279421Z } 2022-11-23T01:37:54.9279486Z 2022-11-23T01:37:54.9279560Z - 2022-11-23T01:37:54.9279686Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.9279750Z { 2022-11-23T01:37:54.9279884Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9279998Z 'code': None, 2022-11-23T01:37:54.9280214Z 'obj_weakref': 2022-11-23T01:37:54.9280471Z 'guarded_class': 2022-11-23T01:37:54.9280542Z } 2022-11-23T01:37:54.9280607Z 2022-11-23T01:37:54.9280681Z - 2022-11-23T01:37:54.9280790Z local 'model' NN_MODULE 2022-11-23T01:37:54.9280855Z { 2022-11-23T01:37:54.9280992Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.9281164Z 'code': ['___check_obj_id(model, 140538441453264)'], 2022-11-23T01:37:54.9281373Z 'obj_weakref': 2022-11-23T01:37:54.9281590Z 'guarded_class': 2022-11-23T01:37:54.9281659Z } 2022-11-23T01:37:54.9281726Z 2022-11-23T01:37:54.9281785Z - 2022-11-23T01:37:54.9281906Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.9281968Z { 2022-11-23T01:37:54.9282103Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.9282330Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.9282451Z 'obj_weakref': None 2022-11-23T01:37:54.9282672Z 'guarded_class': 2022-11-23T01:37:54.9282724Z } 2022-11-23T01:37:54.9282784Z 2022-11-23T01:37:54.9282853Z - 2022-11-23T01:37:54.9282989Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.9283050Z { 2022-11-23T01:37:54.9283171Z 'guard_types': None, 2022-11-23T01:37:54.9283267Z 'code': None, 2022-11-23T01:37:54.9283385Z 'obj_weakref': None 2022-11-23T01:37:54.9283509Z 'guarded_class': None 2022-11-23T01:37:54.9283574Z } 2022-11-23T01:37:54.9283635Z 2022-11-23T01:37:54.9283704Z - 2022-11-23T01:37:54.9283861Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:37:54.9283912Z { 2022-11-23T01:37:54.9284032Z 'guard_types': None, 2022-11-23T01:37:54.9284176Z 'code': None, 2022-11-23T01:37:54.9284300Z 'obj_weakref': None 2022-11-23T01:37:54.9284421Z 'guarded_class': None 2022-11-23T01:37:54.9284490Z } 2022-11-23T01:37:54.9284550Z 2022-11-23T01:37:54.9284607Z - 2022-11-23T01:37:54.9284776Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:37:54.9284837Z { 2022-11-23T01:37:54.9284957Z 'guard_types': None, 2022-11-23T01:37:54.9285066Z 'code': None, 2022-11-23T01:37:54.9285184Z 'obj_weakref': None 2022-11-23T01:37:54.9285355Z 'guarded_class': None 2022-11-23T01:37:54.9285405Z } 2022-11-23T01:37:54.9285466Z 2022-11-23T01:37:54.9285727Z [2022-11-23 01:33:03,791] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 222 2022-11-23T01:37:54.9286101Z [2022-11-23 01:33:03,793] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6j/c6jpbqlpntl5z65iza4pnyoty5gi5rnxnoamuwfiu2ymwxediekh.py 2022-11-23T01:37:54.9286371Z [2022-11-23 01:33:03,793] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 222 2022-11-23T01:37:54.9286613Z [2022-11-23 01:33:03,797] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.9286880Z [2022-11-23 01:33:03,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.9287099Z [2022-11-23 01:33:03,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.9287336Z [2022-11-23 01:33:03,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.9287614Z [2022-11-23 01:33:03,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.9287935Z [2022-11-23 01:33:03,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.9288270Z [2022-11-23 01:33:03,797] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.9288365Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9288461Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:37:54.9288552Z 4 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9288643Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9288735Z 8 STORE_FAST 1 (x) 2022-11-23T01:37:54.9288745Z 2022-11-23T01:37:54.9288825Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9288921Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:37:54.9289010Z 14 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9289099Z 16 LOAD_FAST 2 (y) 2022-11-23T01:37:54.9289189Z 18 CALL_METHOD 2 2022-11-23T01:37:54.9289278Z 20 STORE_FAST 1 (x) 2022-11-23T01:37:54.9289282Z 2022-11-23T01:37:54.9289365Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9289429Z 24 RETURN_VALUE 2022-11-23T01:37:54.9289488Z 2022-11-23T01:37:54.9289492Z 2022-11-23T01:37:54.9289764Z [2022-11-23 01:33:03,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630 2022-11-23T01:37:54.9289985Z [2022-11-23 01:33:03,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9290241Z [2022-11-23 01:33:03,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:37:54.9290486Z [2022-11-23 01:33:03,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:37:54.9290799Z [2022-11-23 01:33:03,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:37:54.9291043Z [2022-11-23 01:33:03,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9291309Z [2022-11-23 01:33:03,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631 2022-11-23T01:37:54.9291509Z [2022-11-23 01:33:03,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9291762Z [2022-11-23 01:33:03,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:37:54.9292012Z [2022-11-23 01:33:03,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:37:54.9292328Z [2022-11-23 01:33:03,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:37:54.9292650Z [2022-11-23 01:33:03,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9292987Z [2022-11-23 01:33:03,806] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd2372c4810, file "inductor/test_torchinductor.py", line 107> 2022-11-23T01:37:54.9293082Z 107 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.9293174Z 2 LOAD_METHOD 1 (add) 2022-11-23T01:37:54.9293263Z 4 LOAD_FAST 1 (y) 2022-11-23T01:37:54.9293340Z 6 LOAD_FAST 0 (x) 2022-11-23T01:37:54.9293429Z 8 CALL_METHOD 2 2022-11-23T01:37:54.9293503Z 10 RETURN_VALUE 2022-11-23T01:37:54.9293567Z 2022-11-23T01:37:54.9293572Z 2022-11-23T01:37:54.9293792Z [2022-11-23 01:33:03,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.9294162Z [2022-11-23 01:33:03,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable()] 2022-11-23T01:37:54.9294482Z [2022-11-23 01:33:03,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable()] 2022-11-23T01:37:54.9294825Z [2022-11-23 01:33:03,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.9295207Z [2022-11-23 01:33:03,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9295446Z [2022-11-23 01:33:03,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9295788Z [2022-11-23 01:33:03,808] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd2372c4810, file "inductor/test_torchinductor.py", line 107> 2022-11-23T01:37:54.9296030Z [2022-11-23 01:33:03,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9296299Z [2022-11-23 01:33:03,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632 2022-11-23T01:37:54.9296510Z [2022-11-23 01:33:03,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9296759Z [2022-11-23 01:33:03,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9297095Z [2022-11-23 01:33:03,808] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.9297345Z [2022-11-23 01:33:03,808] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9297580Z [2022-11-23 01:33:03,809] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.9297866Z [2022-11-23 01:33:03,809] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.9298110Z [2022-11-23 01:33:03,821] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.9298300Z [2022-11-23 01:33:03,821] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.9298437Z __compiled_fn_230 .1866 opcode, name, target, args, kwargs 2022-11-23T01:37:54.9298526Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.9298609Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.9298866Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:37:54.9299097Z output, output, output, ((model_linear,),), {} 2022-11-23T01:37:54.9299104Z 2022-11-23T01:37:54.9299395Z [2022-11-23 01:33:03,821] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9299475Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.9299568Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9299659Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.9299751Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.9299829Z 8 RETURN_VALUE 2022-11-23T01:37:54.9299834Z 2022-11-23T01:37:54.9299895Z 2022-11-23T01:37:54.9300173Z [2022-11-23 01:33:03,822] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9300280Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_230) 2022-11-23T01:37:54.9300357Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9300450Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9300525Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.9300613Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9300700Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.9300775Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.9300867Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.9300944Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.9301018Z 18 RETURN_VALUE 2022-11-23T01:37:54.9301023Z 2022-11-23T01:37:54.9301082Z 2022-11-23T01:37:54.9301269Z [2022-11-23 01:33:03,822] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.9301340Z - 2022-11-23T01:37:54.9301461Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.9301524Z { 2022-11-23T01:37:54.9301654Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.9301844Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.9301967Z 'obj_weakref': None 2022-11-23T01:37:54.9302192Z 'guarded_class': 2022-11-23T01:37:54.9302256Z } 2022-11-23T01:37:54.9302318Z 2022-11-23T01:37:54.9302388Z - 2022-11-23T01:37:54.9302501Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.9302566Z { 2022-11-23T01:37:54.9302710Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9302820Z 'code': None, 2022-11-23T01:37:54.9303036Z 'obj_weakref': 2022-11-23T01:37:54.9303291Z 'guarded_class': 2022-11-23T01:37:54.9303354Z } 2022-11-23T01:37:54.9303403Z 2022-11-23T01:37:54.9303473Z - 2022-11-23T01:37:54.9303598Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.9303665Z { 2022-11-23T01:37:54.9303808Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9303918Z 'code': None, 2022-11-23T01:37:54.9304132Z 'obj_weakref': 2022-11-23T01:37:54.9304420Z 'guarded_class': 2022-11-23T01:37:54.9304487Z } 2022-11-23T01:37:54.9304549Z 2022-11-23T01:37:54.9304619Z - 2022-11-23T01:37:54.9304741Z local 'model' NN_MODULE 2022-11-23T01:37:54.9304804Z { 2022-11-23T01:37:54.9304941Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.9305101Z 'code': ['___check_obj_id(model, 140539049247440)'], 2022-11-23T01:37:54.9305309Z 'obj_weakref': 2022-11-23T01:37:54.9305527Z 'guarded_class': 2022-11-23T01:37:54.9305627Z } 2022-11-23T01:37:54.9305689Z 2022-11-23T01:37:54.9305761Z - 2022-11-23T01:37:54.9305883Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.9305933Z { 2022-11-23T01:37:54.9306073Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.9306297Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.9306421Z 'obj_weakref': None 2022-11-23T01:37:54.9306644Z 'guarded_class': 2022-11-23T01:37:54.9306708Z } 2022-11-23T01:37:54.9306769Z 2022-11-23T01:37:54.9306827Z - 2022-11-23T01:37:54.9306961Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.9307026Z { 2022-11-23T01:37:54.9307148Z 'guard_types': None, 2022-11-23T01:37:54.9307257Z 'code': None, 2022-11-23T01:37:54.9307383Z 'obj_weakref': None 2022-11-23T01:37:54.9307507Z 'guarded_class': None 2022-11-23T01:37:54.9307557Z } 2022-11-23T01:37:54.9307616Z 2022-11-23T01:37:54.9307687Z - 2022-11-23T01:37:54.9307844Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:37:54.9307906Z { 2022-11-23T01:37:54.9308027Z 'guard_types': None, 2022-11-23T01:37:54.9308233Z 'code': None, 2022-11-23T01:37:54.9308347Z 'obj_weakref': None 2022-11-23T01:37:54.9308469Z 'guarded_class': None 2022-11-23T01:37:54.9308532Z } 2022-11-23T01:37:54.9308593Z 2022-11-23T01:37:54.9308664Z - 2022-11-23T01:37:54.9308835Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:37:54.9308886Z { 2022-11-23T01:37:54.9309009Z 'guard_types': None, 2022-11-23T01:37:54.9309119Z 'code': None, 2022-11-23T01:37:54.9309242Z 'obj_weakref': None 2022-11-23T01:37:54.9309364Z 'guarded_class': None 2022-11-23T01:37:54.9309427Z } 2022-11-23T01:37:54.9309494Z 2022-11-23T01:37:54.9309744Z [2022-11-23 01:33:03,833] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 223 2022-11-23T01:37:54.9310111Z [2022-11-23 01:33:03,835] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5d/c5dsv3el7c6fgq7kbbkwdeckk6lcht45aln7aokul6q54loivrir.py 2022-11-23T01:37:54.9310382Z [2022-11-23 01:33:03,835] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 223 2022-11-23T01:37:54.9310624Z [2022-11-23 01:33:03,839] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.9310894Z [2022-11-23 01:33:03,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.9311116Z [2022-11-23 01:33:03,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.9311365Z [2022-11-23 01:33:03,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.9311647Z [2022-11-23 01:33:03,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.9312002Z [2022-11-23 01:33:03,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.9312344Z [2022-11-23 01:33:03,839] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.9312426Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9312520Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:37:54.9312610Z 4 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9312697Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9312820Z 8 STORE_FAST 1 (x) 2022-11-23T01:37:54.9312825Z 2022-11-23T01:37:54.9312916Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9313011Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:37:54.9313088Z 14 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9313177Z 16 LOAD_FAST 2 (y) 2022-11-23T01:37:54.9313264Z 18 CALL_METHOD 2 2022-11-23T01:37:54.9313351Z 20 STORE_FAST 1 (x) 2022-11-23T01:37:54.9313355Z 2022-11-23T01:37:54.9313441Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9313515Z 24 RETURN_VALUE 2022-11-23T01:37:54.9313573Z 2022-11-23T01:37:54.9313578Z 2022-11-23T01:37:54.9313850Z [2022-11-23 01:33:03,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630 2022-11-23T01:37:54.9314055Z [2022-11-23 01:33:03,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9314311Z [2022-11-23 01:33:03,839] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:37:54.9314555Z [2022-11-23 01:33:03,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:37:54.9314835Z [2022-11-23 01:33:03,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:37:54.9315076Z [2022-11-23 01:33:03,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9315343Z [2022-11-23 01:33:03,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631 2022-11-23T01:37:54.9315558Z [2022-11-23 01:33:03,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9315812Z [2022-11-23 01:33:03,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:37:54.9316070Z [2022-11-23 01:33:03,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:37:54.9316337Z [2022-11-23 01:33:03,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:37:54.9316654Z [2022-11-23 01:33:03,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9316988Z [2022-11-23 01:33:03,844] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd2372c4810, file "inductor/test_torchinductor.py", line 107> 2022-11-23T01:37:54.9317083Z 107 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.9317178Z 2 LOAD_METHOD 1 (add) 2022-11-23T01:37:54.9317267Z 4 LOAD_FAST 1 (y) 2022-11-23T01:37:54.9317356Z 6 LOAD_FAST 0 (x) 2022-11-23T01:37:54.9317444Z 8 CALL_METHOD 2 2022-11-23T01:37:54.9317523Z 10 RETURN_VALUE 2022-11-23T01:37:54.9317572Z 2022-11-23T01:37:54.9317578Z 2022-11-23T01:37:54.9317800Z [2022-11-23 01:33:03,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.9318212Z [2022-11-23 01:33:03,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable()] 2022-11-23T01:37:54.9318539Z [2022-11-23 01:33:03,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable()] 2022-11-23T01:37:54.9318889Z [2022-11-23 01:33:03,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.9319274Z [2022-11-23 01:33:03,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9319559Z [2022-11-23 01:33:03,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9319905Z [2022-11-23 01:33:03,846] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd2372c4810, file "inductor/test_torchinductor.py", line 107> 2022-11-23T01:37:54.9320152Z [2022-11-23 01:33:03,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9320428Z [2022-11-23 01:33:03,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632 2022-11-23T01:37:54.9320629Z [2022-11-23 01:33:03,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9320882Z [2022-11-23 01:33:03,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9321227Z [2022-11-23 01:33:03,847] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.9321480Z [2022-11-23 01:33:03,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9321720Z [2022-11-23 01:33:03,847] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.9321983Z [2022-11-23 01:33:03,848] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.9322238Z [2022-11-23 01:33:03,859] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.9322433Z [2022-11-23 01:33:03,859] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.9322571Z __compiled_fn_231 .1877 opcode, name, target, args, kwargs 2022-11-23T01:37:54.9322648Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.9322734Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.9322857Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:37:54.9322969Z output, output, output, ((model_linear,),), {} 2022-11-23T01:37:54.9322974Z 2022-11-23T01:37:54.9323255Z [2022-11-23 01:33:03,860] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9323349Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.9323443Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9323537Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.9323616Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.9323693Z 8 RETURN_VALUE 2022-11-23T01:37:54.9323698Z 2022-11-23T01:37:54.9323761Z 2022-11-23T01:37:54.9324040Z [2022-11-23 01:33:03,860] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9324148Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_231) 2022-11-23T01:37:54.9324240Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9324334Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9324397Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.9324486Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9324576Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.9324653Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.9324773Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.9324868Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.9324946Z 18 RETURN_VALUE 2022-11-23T01:37:54.9324950Z 2022-11-23T01:37:54.9325011Z 2022-11-23T01:37:54.9325186Z [2022-11-23 01:33:03,861] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.9325260Z - 2022-11-23T01:37:54.9325382Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.9325450Z { 2022-11-23T01:37:54.9325593Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.9325783Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.9325924Z 'obj_weakref': None 2022-11-23T01:37:54.9326152Z 'guarded_class': 2022-11-23T01:37:54.9326220Z } 2022-11-23T01:37:54.9326286Z 2022-11-23T01:37:54.9326358Z - 2022-11-23T01:37:54.9326487Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.9326549Z { 2022-11-23T01:37:54.9326681Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9326787Z 'code': None, 2022-11-23T01:37:54.9327002Z 'obj_weakref': 2022-11-23T01:37:54.9327259Z 'guarded_class': 2022-11-23T01:37:54.9327327Z } 2022-11-23T01:37:54.9327388Z 2022-11-23T01:37:54.9327456Z - 2022-11-23T01:37:54.9327573Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.9327635Z { 2022-11-23T01:37:54.9327778Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9327886Z 'code': None, 2022-11-23T01:37:54.9328099Z 'obj_weakref': 2022-11-23T01:37:54.9328355Z 'guarded_class': 2022-11-23T01:37:54.9328418Z } 2022-11-23T01:37:54.9328479Z 2022-11-23T01:37:54.9328537Z - 2022-11-23T01:37:54.9328657Z local 'model' NN_MODULE 2022-11-23T01:37:54.9328719Z { 2022-11-23T01:37:54.9328855Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.9329028Z 'code': ['___check_obj_id(model, 140539048739152)'], 2022-11-23T01:37:54.9329240Z 'obj_weakref': 2022-11-23T01:37:54.9329463Z 'guarded_class': 2022-11-23T01:37:54.9329517Z } 2022-11-23T01:37:54.9329579Z 2022-11-23T01:37:54.9329650Z - 2022-11-23T01:37:54.9329772Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.9329836Z { 2022-11-23T01:37:54.9329973Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.9330199Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.9330309Z 'obj_weakref': None 2022-11-23T01:37:54.9330531Z 'guarded_class': 2022-11-23T01:37:54.9330595Z } 2022-11-23T01:37:54.9330656Z 2022-11-23T01:37:54.9330725Z - 2022-11-23T01:37:54.9330862Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.9330927Z { 2022-11-23T01:37:54.9331037Z 'guard_types': None, 2022-11-23T01:37:54.9331150Z 'code': None, 2022-11-23T01:37:54.9331269Z 'obj_weakref': None 2022-11-23T01:37:54.9331393Z 'guarded_class': None 2022-11-23T01:37:54.9331455Z } 2022-11-23T01:37:54.9331515Z 2022-11-23T01:37:54.9331571Z - 2022-11-23T01:37:54.9331730Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:37:54.9331824Z { 2022-11-23T01:37:54.9331947Z 'guard_types': None, 2022-11-23T01:37:54.9332055Z 'code': None, 2022-11-23T01:37:54.9332175Z 'obj_weakref': None 2022-11-23T01:37:54.9332297Z 'guarded_class': None 2022-11-23T01:37:54.9332347Z } 2022-11-23T01:37:54.9332407Z 2022-11-23T01:37:54.9332475Z - 2022-11-23T01:37:54.9332644Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:37:54.9332706Z { 2022-11-23T01:37:54.9332825Z 'guard_types': None, 2022-11-23T01:37:54.9332978Z 'code': None, 2022-11-23T01:37:54.9333085Z 'obj_weakref': None 2022-11-23T01:37:54.9333206Z 'guarded_class': None 2022-11-23T01:37:54.9333269Z } 2022-11-23T01:37:54.9333330Z 2022-11-23T01:37:54.9333596Z [2022-11-23 01:33:03,874] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 224 2022-11-23T01:37:54.9333974Z [2022-11-23 01:33:03,876] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qu/cquma5ybkv6g6jlcntdqvhs4w2ymqqjsrfexd35ykh6iiq2xlyjg.py 2022-11-23T01:37:54.9334240Z [2022-11-23 01:33:03,876] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 224 2022-11-23T01:37:54.9334468Z [2022-11-23 01:33:03,881] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.9334735Z [2022-11-23 01:33:03,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.9334958Z [2022-11-23 01:33:03,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.9335203Z [2022-11-23 01:33:03,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.9335482Z [2022-11-23 01:33:03,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.9335803Z [2022-11-23 01:33:03,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.9336141Z [2022-11-23 01:33:03,882] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.9336234Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9336331Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:37:54.9336410Z 4 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9336501Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9336591Z 8 STORE_FAST 1 (x) 2022-11-23T01:37:54.9336597Z 2022-11-23T01:37:54.9336686Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9336780Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:37:54.9336869Z 14 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9336956Z 16 LOAD_FAST 2 (y) 2022-11-23T01:37:54.9337044Z 18 CALL_METHOD 2 2022-11-23T01:37:54.9337118Z 20 STORE_FAST 1 (x) 2022-11-23T01:37:54.9337122Z 2022-11-23T01:37:54.9337205Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9337279Z 24 RETURN_VALUE 2022-11-23T01:37:54.9337341Z 2022-11-23T01:37:54.9337346Z 2022-11-23T01:37:54.9337616Z [2022-11-23 01:33:03,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630 2022-11-23T01:37:54.9337837Z [2022-11-23 01:33:03,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9338091Z [2022-11-23 01:33:03,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:37:54.9338334Z [2022-11-23 01:33:03,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:37:54.9338643Z [2022-11-23 01:33:03,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:37:54.9339076Z [2022-11-23 01:33:03,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9339356Z [2022-11-23 01:33:03,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631 2022-11-23T01:37:54.9339568Z [2022-11-23 01:33:03,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9339822Z [2022-11-23 01:33:03,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:37:54.9340136Z [2022-11-23 01:33:03,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:37:54.9340417Z [2022-11-23 01:33:03,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:37:54.9340735Z [2022-11-23 01:33:03,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9341072Z [2022-11-23 01:33:03,891] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd2372c4810, file "inductor/test_torchinductor.py", line 107> 2022-11-23T01:37:54.9341168Z 107 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.9341250Z 2 LOAD_METHOD 1 (add) 2022-11-23T01:37:54.9341340Z 4 LOAD_FAST 1 (y) 2022-11-23T01:37:54.9341429Z 6 LOAD_FAST 0 (x) 2022-11-23T01:37:54.9341522Z 8 CALL_METHOD 2 2022-11-23T01:37:54.9341598Z 10 RETURN_VALUE 2022-11-23T01:37:54.9341659Z 2022-11-23T01:37:54.9341664Z 2022-11-23T01:37:54.9341886Z [2022-11-23 01:33:03,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.9342257Z [2022-11-23 01:33:03,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable()] 2022-11-23T01:37:54.9342564Z [2022-11-23 01:33:03,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable()] 2022-11-23T01:37:54.9342912Z [2022-11-23 01:33:03,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.9343292Z [2022-11-23 01:33:03,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9343543Z [2022-11-23 01:33:03,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9343885Z [2022-11-23 01:33:03,893] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd2372c4810, file "inductor/test_torchinductor.py", line 107> 2022-11-23T01:37:54.9344128Z [2022-11-23 01:33:03,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9344397Z [2022-11-23 01:33:03,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632 2022-11-23T01:37:54.9344611Z [2022-11-23 01:33:03,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9344866Z [2022-11-23 01:33:03,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9345210Z [2022-11-23 01:33:03,893] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.9345451Z [2022-11-23 01:33:03,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9345758Z [2022-11-23 01:33:03,893] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.9346022Z [2022-11-23 01:33:03,894] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.9346275Z [2022-11-23 01:33:03,905] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.9346469Z [2022-11-23 01:33:03,905] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.9346604Z __compiled_fn_232 .1888 opcode, name, target, args, kwargs 2022-11-23T01:37:54.9346694Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.9346780Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.9346921Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:37:54.9347032Z output, output, output, ((model_linear,),), {} 2022-11-23T01:37:54.9347038Z 2022-11-23T01:37:54.9347325Z [2022-11-23 01:33:03,906] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9347422Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.9347517Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9347611Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.9347699Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.9347776Z 8 RETURN_VALUE 2022-11-23T01:37:54.9347781Z 2022-11-23T01:37:54.9347827Z 2022-11-23T01:37:54.9348184Z [2022-11-23 01:33:03,906] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9348300Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_232) 2022-11-23T01:37:54.9348393Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9348481Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9348557Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.9348644Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9348730Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.9348796Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.9348886Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.9348978Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.9349052Z 18 RETURN_VALUE 2022-11-23T01:37:54.9349058Z 2022-11-23T01:37:54.9349121Z 2022-11-23T01:37:54.9349310Z [2022-11-23 01:33:03,906] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.9349382Z - 2022-11-23T01:37:54.9349491Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.9349558Z { 2022-11-23T01:37:54.9349702Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.9349898Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.9350019Z 'obj_weakref': None 2022-11-23T01:37:54.9350246Z 'guarded_class': 2022-11-23T01:37:54.9350310Z } 2022-11-23T01:37:54.9350361Z 2022-11-23T01:37:54.9350432Z - 2022-11-23T01:37:54.9350560Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.9350623Z { 2022-11-23T01:37:54.9350767Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9350876Z 'code': None, 2022-11-23T01:37:54.9351091Z 'obj_weakref': 2022-11-23T01:37:54.9351336Z 'guarded_class': 2022-11-23T01:37:54.9351400Z } 2022-11-23T01:37:54.9351462Z 2022-11-23T01:37:54.9351533Z - 2022-11-23T01:37:54.9351658Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.9351721Z { 2022-11-23T01:37:54.9351864Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9351959Z 'code': None, 2022-11-23T01:37:54.9352170Z 'obj_weakref': 2022-11-23T01:37:54.9352459Z 'guarded_class': 2022-11-23T01:37:54.9352526Z } 2022-11-23T01:37:54.9352589Z 2022-11-23T01:37:54.9352660Z - 2022-11-23T01:37:54.9352784Z local 'model' NN_MODULE 2022-11-23T01:37:54.9352835Z { 2022-11-23T01:37:54.9352970Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.9353142Z 'code': ['___check_obj_id(model, 140538913618640)'], 2022-11-23T01:37:54.9353349Z 'obj_weakref': 2022-11-23T01:37:54.9353603Z 'guarded_class': 2022-11-23T01:37:54.9353666Z } 2022-11-23T01:37:54.9353726Z 2022-11-23T01:37:54.9353783Z - 2022-11-23T01:37:54.9353906Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.9353968Z { 2022-11-23T01:37:54.9354109Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.9354331Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.9354454Z 'obj_weakref': None 2022-11-23T01:37:54.9354679Z 'guarded_class': 2022-11-23T01:37:54.9354729Z } 2022-11-23T01:37:54.9354789Z 2022-11-23T01:37:54.9354858Z - 2022-11-23T01:37:54.9354993Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.9355055Z { 2022-11-23T01:37:54.9355179Z 'guard_types': None, 2022-11-23T01:37:54.9355288Z 'code': None, 2022-11-23T01:37:54.9355396Z 'obj_weakref': None 2022-11-23T01:37:54.9355516Z 'guarded_class': None 2022-11-23T01:37:54.9355577Z } 2022-11-23T01:37:54.9355638Z 2022-11-23T01:37:54.9355710Z - 2022-11-23T01:37:54.9355871Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:37:54.9355932Z { 2022-11-23T01:37:54.9356041Z 'guard_types': None, 2022-11-23T01:37:54.9356147Z 'code': None, 2022-11-23T01:37:54.9356267Z 'obj_weakref': None 2022-11-23T01:37:54.9356387Z 'guarded_class': None 2022-11-23T01:37:54.9356448Z } 2022-11-23T01:37:54.9356508Z 2022-11-23T01:37:54.9356565Z - 2022-11-23T01:37:54.9356734Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:37:54.9356796Z { 2022-11-23T01:37:54.9356917Z 'guard_types': None, 2022-11-23T01:37:54.9357027Z 'code': None, 2022-11-23T01:37:54.9357146Z 'obj_weakref': None 2022-11-23T01:37:54.9357268Z 'guarded_class': None 2022-11-23T01:37:54.9357317Z } 2022-11-23T01:37:54.9357377Z 2022-11-23T01:37:54.9357644Z [2022-11-23 01:33:03,918] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 225 2022-11-23T01:37:54.9358012Z [2022-11-23 01:33:03,919] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/g7/cg7to27trjjhu55dlkqkntb6q5dznx7eohp57zne2hp5rrqocksh.py 2022-11-23T01:37:54.9358280Z [2022-11-23 01:33:03,919] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 225 2022-11-23T01:37:54.9358521Z [2022-11-23 01:33:03,923] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.9358793Z [2022-11-23 01:33:03,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.9359015Z [2022-11-23 01:33:03,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.9359260Z [2022-11-23 01:33:03,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.9359558Z [2022-11-23 01:33:03,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.9359877Z [2022-11-23 01:33:03,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.9360212Z [2022-11-23 01:33:03,923] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.9360306Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9360401Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:37:54.9360490Z 4 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9360610Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9360702Z 8 STORE_FAST 1 (x) 2022-11-23T01:37:54.9360707Z 2022-11-23T01:37:54.9360786Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9360880Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:37:54.9360970Z 14 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9361056Z 16 LOAD_FAST 2 (y) 2022-11-23T01:37:54.9361143Z 18 CALL_METHOD 2 2022-11-23T01:37:54.9361233Z 20 STORE_FAST 1 (x) 2022-11-23T01:37:54.9361237Z 2022-11-23T01:37:54.9361324Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9361401Z 24 RETURN_VALUE 2022-11-23T01:37:54.9361449Z 2022-11-23T01:37:54.9361453Z 2022-11-23T01:37:54.9361729Z [2022-11-23 01:33:03,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630 2022-11-23T01:37:54.9361949Z [2022-11-23 01:33:03,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9362210Z [2022-11-23 01:33:03,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:37:54.9362462Z [2022-11-23 01:33:03,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:37:54.9362744Z [2022-11-23 01:33:03,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:37:54.9362991Z [2022-11-23 01:33:03,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9363262Z [2022-11-23 01:33:03,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631 2022-11-23T01:37:54.9363482Z [2022-11-23 01:33:03,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9363724Z [2022-11-23 01:33:03,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:37:54.9363983Z [2022-11-23 01:33:03,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:37:54.9364266Z [2022-11-23 01:33:03,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:37:54.9364588Z [2022-11-23 01:33:03,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9364925Z [2022-11-23 01:33:03,927] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd2372c4810, file "inductor/test_torchinductor.py", line 107> 2022-11-23T01:37:54.9365022Z 107 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.9365116Z 2 LOAD_METHOD 1 (add) 2022-11-23T01:37:54.9365211Z 4 LOAD_FAST 1 (y) 2022-11-23T01:37:54.9365305Z 6 LOAD_FAST 0 (x) 2022-11-23T01:37:54.9365380Z 8 CALL_METHOD 2 2022-11-23T01:37:54.9365460Z 10 RETURN_VALUE 2022-11-23T01:37:54.9365524Z 2022-11-23T01:37:54.9365529Z 2022-11-23T01:37:54.9365752Z [2022-11-23 01:33:03,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.9366150Z [2022-11-23 01:33:03,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable()] 2022-11-23T01:37:54.9366478Z [2022-11-23 01:33:03,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable()] 2022-11-23T01:37:54.9366826Z [2022-11-23 01:33:03,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.9367210Z [2022-11-23 01:33:03,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9367494Z [2022-11-23 01:33:03,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9367822Z [2022-11-23 01:33:03,929] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd2372c4810, file "inductor/test_torchinductor.py", line 107> 2022-11-23T01:37:54.9368069Z [2022-11-23 01:33:03,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9368339Z [2022-11-23 01:33:03,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632 2022-11-23T01:37:54.9368556Z [2022-11-23 01:33:03,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9368809Z [2022-11-23 01:33:03,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9369154Z [2022-11-23 01:33:03,929] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.9369405Z [2022-11-23 01:33:03,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9369650Z [2022-11-23 01:33:03,929] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.9369910Z [2022-11-23 01:33:03,930] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.9370167Z [2022-11-23 01:33:03,936] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.9370347Z [2022-11-23 01:33:03,936] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.9370486Z __compiled_fn_233 .1899 opcode, name, target, args, kwargs 2022-11-23T01:37:54.9370578Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.9370671Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.9370795Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:37:54.9370904Z output, output, output, ((model_linear,),), {} 2022-11-23T01:37:54.9370909Z 2022-11-23T01:37:54.9371194Z [2022-11-23 01:33:03,937] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9371290Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.9371369Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9371463Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.9371551Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.9371629Z 8 RETURN_VALUE 2022-11-23T01:37:54.9371635Z 2022-11-23T01:37:54.9371695Z 2022-11-23T01:37:54.9371973Z [2022-11-23 01:33:03,937] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9372083Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_233) 2022-11-23T01:37:54.9372159Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9372250Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9372325Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.9372414Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9372530Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.9372606Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.9372693Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.9372770Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.9372843Z 18 RETURN_VALUE 2022-11-23T01:37:54.9372849Z 2022-11-23T01:37:54.9372910Z 2022-11-23T01:37:54.9373094Z [2022-11-23 01:33:03,937] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.9373166Z - 2022-11-23T01:37:54.9373286Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.9373350Z { 2022-11-23T01:37:54.9373516Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.9373705Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.9373827Z 'obj_weakref': None 2022-11-23T01:37:54.9374053Z 'guarded_class': 2022-11-23T01:37:54.9374118Z } 2022-11-23T01:37:54.9374183Z 2022-11-23T01:37:54.9374254Z - 2022-11-23T01:37:54.9374367Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.9374429Z { 2022-11-23T01:37:54.9374575Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9374685Z 'code': None, 2022-11-23T01:37:54.9374900Z 'obj_weakref': 2022-11-23T01:37:54.9375159Z 'guarded_class': 2022-11-23T01:37:54.9375221Z } 2022-11-23T01:37:54.9375286Z 2022-11-23T01:37:54.9375344Z - 2022-11-23T01:37:54.9375467Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.9375529Z { 2022-11-23T01:37:54.9375671Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9375779Z 'code': None, 2022-11-23T01:37:54.9375995Z 'obj_weakref': 2022-11-23T01:37:54.9376250Z 'guarded_class': 2022-11-23T01:37:54.9376301Z } 2022-11-23T01:37:54.9376362Z 2022-11-23T01:37:54.9376434Z - 2022-11-23T01:37:54.9376555Z local 'model' NN_MODULE 2022-11-23T01:37:54.9376617Z { 2022-11-23T01:37:54.9376756Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.9376915Z 'code': ['___check_obj_id(model, 140538440796624)'], 2022-11-23T01:37:54.9377125Z 'obj_weakref': 2022-11-23T01:37:54.9377347Z 'guarded_class': 2022-11-23T01:37:54.9377415Z } 2022-11-23T01:37:54.9377479Z 2022-11-23T01:37:54.9377551Z - 2022-11-23T01:37:54.9377674Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.9377726Z { 2022-11-23T01:37:54.9377863Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.9378083Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.9378204Z 'obj_weakref': None 2022-11-23T01:37:54.9378433Z 'guarded_class': 2022-11-23T01:37:54.9378496Z } 2022-11-23T01:37:54.9378556Z 2022-11-23T01:37:54.9378626Z - 2022-11-23T01:37:54.9378865Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.9378974Z { 2022-11-23T01:37:54.9379153Z 'guard_types': None, 2022-11-23T01:37:54.9379266Z 'code': None, 2022-11-23T01:37:54.9379387Z 'obj_weakref': None 2022-11-23T01:37:54.9379511Z 'guarded_class': None 2022-11-23T01:37:54.9379562Z } 2022-11-23T01:37:54.9379623Z 2022-11-23T01:37:54.9379692Z - 2022-11-23T01:37:54.9379908Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:37:54.9379974Z { 2022-11-23T01:37:54.9380096Z 'guard_types': None, 2022-11-23T01:37:54.9380203Z 'code': None, 2022-11-23T01:37:54.9380308Z 'obj_weakref': None 2022-11-23T01:37:54.9380428Z 'guarded_class': None 2022-11-23T01:37:54.9380491Z } 2022-11-23T01:37:54.9380552Z 2022-11-23T01:37:54.9380623Z - 2022-11-23T01:37:54.9380793Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:37:54.9380909Z { 2022-11-23T01:37:54.9381018Z 'guard_types': None, 2022-11-23T01:37:54.9381123Z 'code': None, 2022-11-23T01:37:54.9381241Z 'obj_weakref': None 2022-11-23T01:37:54.9381364Z 'guarded_class': None 2022-11-23T01:37:54.9381425Z } 2022-11-23T01:37:54.9381487Z 2022-11-23T01:37:54.9381755Z [2022-11-23 01:33:03,948] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 226 2022-11-23T01:37:54.9381762Z 2022-11-23T01:37:54.9381842Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.9381910Z import torch 2022-11-23T01:37:54.9381979Z import random 2022-11-23T01:37:54.9382094Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.9382214Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.9382220Z 2022-11-23T01:37:54.9382299Z aten = torch.ops.aten 2022-11-23T01:37:54.9382436Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.9382517Z async_compile = AsyncCompile() 2022-11-23T01:37:54.9382534Z 2022-11-23T01:37:54.9382538Z 2022-11-23T01:37:54.9382611Z async_compile.wait(globals()) 2022-11-23T01:37:54.9382682Z del async_compile 2022-11-23T01:37:54.9382687Z 2022-11-23T01:37:54.9382759Z def call(args): 2022-11-23T01:37:54.9382851Z arg0_1, arg1_1, arg2_1, arg3_1 = args 2022-11-23T01:37:54.9382923Z args.clear() 2022-11-23T01:37:54.9383159Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'add') 2022-11-23T01:37:54.9383227Z del arg0_1 2022-11-23T01:37:54.9383278Z del arg1_1 2022-11-23T01:37:54.9383341Z del arg2_1 2022-11-23T01:37:54.9383404Z del arg3_1 2022-11-23T01:37:54.9383474Z return (buf0, ) 2022-11-23T01:37:54.9383479Z 2022-11-23T01:37:54.9383483Z 2022-11-23T01:37:54.9383560Z if __name__ == "__main__": 2022-11-23T01:37:54.9383674Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.9383796Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.9383992Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9384194Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9384401Z arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9384609Z arg3_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9384739Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1])) 2022-11-23T01:37:54.9384745Z 2022-11-23T01:37:54.9384749Z 2022-11-23T01:37:54.9384841Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.9384910Z import torch 2022-11-23T01:37:54.9384981Z import random 2022-11-23T01:37:54.9385083Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.9385202Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.9385207Z 2022-11-23T01:37:54.9385283Z aten = torch.ops.aten 2022-11-23T01:37:54.9385419Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.9385510Z async_compile = AsyncCompile() 2022-11-23T01:37:54.9385515Z 2022-11-23T01:37:54.9385519Z 2022-11-23T01:37:54.9385606Z async_compile.wait(globals()) 2022-11-23T01:37:54.9385676Z del async_compile 2022-11-23T01:37:54.9385680Z 2022-11-23T01:37:54.9385748Z def call(args): 2022-11-23T01:37:54.9385845Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:54.9385916Z args.clear() 2022-11-23T01:37:54.9386144Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'add') 2022-11-23T01:37:54.9386213Z del arg0_1 2022-11-23T01:37:54.9386280Z del arg1_1 2022-11-23T01:37:54.9386344Z del arg2_1 2022-11-23T01:37:54.9386414Z return (buf0, ) 2022-11-23T01:37:54.9386418Z 2022-11-23T01:37:54.9386423Z 2022-11-23T01:37:54.9386496Z if __name__ == "__main__": 2022-11-23T01:37:54.9386596Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.9386717Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.9386953Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9387164Z arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9387373Z arg2_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9387496Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:54.9387501Z 2022-11-23T01:37:54.9387506Z 2022-11-23T01:37:54.9387598Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.9387665Z import torch 2022-11-23T01:37:54.9387722Z import random 2022-11-23T01:37:54.9387834Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.9387952Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.9387956Z 2022-11-23T01:37:54.9388032Z aten = torch.ops.aten 2022-11-23T01:37:54.9388248Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.9388345Z async_compile = AsyncCompile() 2022-11-23T01:37:54.9388350Z 2022-11-23T01:37:54.9388354Z 2022-11-23T01:37:54.9388440Z async_compile.wait(globals()) 2022-11-23T01:37:54.9388513Z del async_compile 2022-11-23T01:37:54.9388518Z 2022-11-23T01:37:54.9388575Z def call(args): 2022-11-23T01:37:54.9388663Z arg0_1, arg1_1, arg2_1, arg3_1 = args 2022-11-23T01:37:54.9388736Z args.clear() 2022-11-23T01:37:54.9388969Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'add') 2022-11-23T01:37:54.9389038Z del arg0_1 2022-11-23T01:37:54.9389103Z del arg1_1 2022-11-23T01:37:54.9389169Z del arg2_1 2022-11-23T01:37:54.9389220Z del arg3_1 2022-11-23T01:37:54.9389292Z return (buf0, ) 2022-11-23T01:37:54.9389297Z 2022-11-23T01:37:54.9389301Z 2022-11-23T01:37:54.9389375Z if __name__ == "__main__": 2022-11-23T01:37:54.9389488Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.9389608Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.9389820Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9390022Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9390209Z arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9390411Z arg3_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9390542Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1])) 2022-11-23T01:37:54.9390547Z 2022-11-23T01:37:54.9390551Z 2022-11-23T01:37:54.9390647Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.9390716Z import torch 2022-11-23T01:37:54.9390785Z import random 2022-11-23T01:37:54.9390897Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.9391016Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.9391021Z 2022-11-23T01:37:54.9391097Z aten = torch.ops.aten 2022-11-23T01:37:54.9391220Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.9391309Z async_compile = AsyncCompile() 2022-11-23T01:37:54.9391314Z 2022-11-23T01:37:54.9391318Z 2022-11-23T01:37:54.9391404Z async_compile.wait(globals()) 2022-11-23T01:37:54.9391475Z del async_compile 2022-11-23T01:37:54.9391480Z 2022-11-23T01:37:54.9391548Z def call(args): 2022-11-23T01:37:54.9391660Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:54.9391732Z args.clear() 2022-11-23T01:37:54.9391948Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'add') 2022-11-23T01:37:54.9392017Z del arg0_1 2022-11-23T01:37:54.9392081Z del arg1_1 2022-11-23T01:37:54.9392145Z del arg2_1 2022-11-23T01:37:54.9392214Z return (buf0, ) 2022-11-23T01:37:54.9392219Z 2022-11-23T01:37:54.9392223Z 2022-11-23T01:37:54.9392298Z if __name__ == "__main__": 2022-11-23T01:37:54.9392411Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.9392530Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.9392752Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9392954Z arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9393154Z arg2_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9393276Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:54.9393281Z 2022-11-23T01:37:54.9393285Z 2022-11-23T01:37:54.9393377Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.9393447Z import torch 2022-11-23T01:37:54.9393515Z import random 2022-11-23T01:37:54.9393627Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.9393733Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.9393738Z 2022-11-23T01:37:54.9393814Z aten = torch.ops.aten 2022-11-23T01:37:54.9393944Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.9394039Z async_compile = AsyncCompile() 2022-11-23T01:37:54.9394044Z 2022-11-23T01:37:54.9394048Z 2022-11-23T01:37:54.9394133Z async_compile.wait(globals()) 2022-11-23T01:37:54.9394203Z del async_compile 2022-11-23T01:37:54.9394208Z 2022-11-23T01:37:54.9394275Z def call(args): 2022-11-23T01:37:54.9394362Z arg0_1, arg1_1, arg2_1, arg3_1 = args 2022-11-23T01:37:54.9394419Z args.clear() 2022-11-23T01:37:54.9394650Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'add') 2022-11-23T01:37:54.9394716Z del arg0_1 2022-11-23T01:37:54.9394781Z del arg1_1 2022-11-23T01:37:54.9394847Z del arg2_1 2022-11-23T01:37:54.9394911Z del arg3_1 2022-11-23T01:37:54.9394968Z return (buf0, ) 2022-11-23T01:37:54.9394984Z 2022-11-23T01:37:54.9394988Z 2022-11-23T01:37:54.9395048Z if __name__ == "__main__": 2022-11-23T01:37:54.9395159Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.9395279Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.9395486Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9395684Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9395891Z arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9396106Z arg3_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9396234Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1])) 2022-11-23T01:37:54.9396239Z 2022-11-23T01:37:54.9396243Z 2022-11-23T01:37:54.9396323Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.9396391Z import torch 2022-11-23T01:37:54.9396458Z import random 2022-11-23T01:37:54.9396571Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.9396689Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.9396694Z 2022-11-23T01:37:54.9396770Z aten = torch.ops.aten 2022-11-23T01:37:54.9396904Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.9396982Z async_compile = AsyncCompile() 2022-11-23T01:37:54.9396999Z 2022-11-23T01:37:54.9397003Z 2022-11-23T01:37:54.9397077Z async_compile.wait(globals()) 2022-11-23T01:37:54.9397149Z del async_compile 2022-11-23T01:37:54.9397154Z 2022-11-23T01:37:54.9397221Z def call(args): 2022-11-23T01:37:54.9397329Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:54.9397400Z args.clear() 2022-11-23T01:37:54.9397632Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'add') 2022-11-23T01:37:54.9397699Z del arg0_1 2022-11-23T01:37:54.9397753Z del arg1_1 2022-11-23T01:37:54.9397818Z del arg2_1 2022-11-23T01:37:54.9397888Z return (buf0, ) 2022-11-23T01:37:54.9397893Z 2022-11-23T01:37:54.9397897Z 2022-11-23T01:37:54.9397971Z if __name__ == "__main__": 2022-11-23T01:37:54.9398080Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.9398201Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.9398436Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9398644Z arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9398840Z arg2_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9398966Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:54.9398971Z 2022-11-23T01:37:54.9398975Z 2022-11-23T01:37:54.9399069Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.9399143Z import torch 2022-11-23T01:37:54.9399214Z import random 2022-11-23T01:37:54.9399328Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.9399448Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.9399453Z 2022-11-23T01:37:54.9399532Z aten = torch.ops.aten 2022-11-23T01:37:54.9399651Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.9399747Z async_compile = AsyncCompile() 2022-11-23T01:37:54.9399752Z 2022-11-23T01:37:54.9399756Z 2022-11-23T01:37:54.9399843Z async_compile.wait(globals()) 2022-11-23T01:37:54.9399918Z del async_compile 2022-11-23T01:37:54.9399923Z 2022-11-23T01:37:54.9399995Z def call(args): 2022-11-23T01:37:54.9400084Z arg0_1, arg1_1, arg2_1, arg3_1 = args 2022-11-23T01:37:54.9400155Z args.clear() 2022-11-23T01:37:54.9400390Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'add') 2022-11-23T01:37:54.9400449Z del arg0_1 2022-11-23T01:37:54.9400517Z del arg1_1 2022-11-23T01:37:54.9400584Z del arg2_1 2022-11-23T01:37:54.9400650Z del arg3_1 2022-11-23T01:37:54.9400723Z return (buf0, ) 2022-11-23T01:37:54.9400727Z 2022-11-23T01:37:54.9400731Z 2022-11-23T01:37:54.9400807Z if __name__ == "__main__": 2022-11-23T01:37:54.9400922Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.9401032Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.9401241Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9401441Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9401645Z arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9401848Z arg3_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9401977Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1])) 2022-11-23T01:37:54.9401982Z 2022-11-23T01:37:54.9401987Z 2022-11-23T01:37:54.9402081Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.9402153Z import torch 2022-11-23T01:37:54.9402211Z import random 2022-11-23T01:37:54.9402326Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.9402446Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.9402451Z 2022-11-23T01:37:54.9402530Z aten = torch.ops.aten 2022-11-23T01:37:54.9402666Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.9402759Z async_compile = AsyncCompile() 2022-11-23T01:37:54.9402764Z 2022-11-23T01:37:54.9402768Z 2022-11-23T01:37:54.9402856Z async_compile.wait(globals()) 2022-11-23T01:37:54.9402930Z del async_compile 2022-11-23T01:37:54.9402935Z 2022-11-23T01:37:54.9402993Z def call(args): 2022-11-23T01:37:54.9403108Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:54.9403180Z args.clear() 2022-11-23T01:37:54.9403408Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'add') 2022-11-23T01:37:54.9403478Z del arg0_1 2022-11-23T01:37:54.9403545Z del arg1_1 2022-11-23T01:37:54.9403611Z del arg2_1 2022-11-23T01:37:54.9403669Z return (buf0, ) 2022-11-23T01:37:54.9403674Z 2022-11-23T01:37:54.9403678Z 2022-11-23T01:37:54.9403754Z if __name__ == "__main__": 2022-11-23T01:37:54.9403869Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.9403992Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.9404236Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9404440Z arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9404639Z arg2_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9404767Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:54.9405136Z [2022-11-23 01:33:03,950] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6j/c6jpbqlpntl5z65iza4pnyoty5gi5rnxnoamuwfiu2ymwxediekh.py 2022-11-23T01:37:54.9405407Z [2022-11-23 01:33:03,950] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 226 2022-11-23T01:37:54.9405648Z [2022-11-23 01:33:03,953] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.9405918Z [2022-11-23 01:33:03,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.9406142Z [2022-11-23 01:33:03,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.9406388Z [2022-11-23 01:33:03,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.9406672Z [2022-11-23 01:33:03,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.9406996Z [2022-11-23 01:33:03,953] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.9407335Z [2022-11-23 01:33:03,954] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.9407429Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9407513Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:37:54.9407604Z 4 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9407697Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9407786Z 8 STORE_FAST 1 (x) 2022-11-23T01:37:54.9407791Z 2022-11-23T01:37:54.9407880Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9407976Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:37:54.9408064Z 14 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9408140Z 16 LOAD_FAST 2 (y) 2022-11-23T01:37:54.9408227Z 18 CALL_METHOD 2 2022-11-23T01:37:54.9408316Z 20 STORE_FAST 1 (x) 2022-11-23T01:37:54.9408321Z 2022-11-23T01:37:54.9408405Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9408481Z 24 RETURN_VALUE 2022-11-23T01:37:54.9408541Z 2022-11-23T01:37:54.9408546Z 2022-11-23T01:37:54.9408816Z [2022-11-23 01:33:03,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630 2022-11-23T01:37:54.9409039Z [2022-11-23 01:33:03,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9409280Z [2022-11-23 01:33:03,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:37:54.9409553Z [2022-11-23 01:33:03,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:37:54.9409837Z [2022-11-23 01:33:03,954] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:37:54.9410078Z [2022-11-23 01:33:03,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9410348Z [2022-11-23 01:33:03,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631 2022-11-23T01:37:54.9410562Z [2022-11-23 01:33:03,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9410821Z [2022-11-23 01:33:03,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:37:54.9411107Z [2022-11-23 01:33:03,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:37:54.9411389Z [2022-11-23 01:33:03,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:37:54.9411697Z [2022-11-23 01:33:03,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9412035Z [2022-11-23 01:33:03,963] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd2372c4c90, file "inductor/test_torchinductor.py", line 108> 2022-11-23T01:37:54.9412129Z 108 0 LOAD_FAST 0 (x) 2022-11-23T01:37:54.9412223Z 2 LOAD_METHOD 0 (add) 2022-11-23T01:37:54.9412313Z 4 LOAD_FAST 1 (y) 2022-11-23T01:37:54.9412407Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9412484Z 8 RETURN_VALUE 2022-11-23T01:37:54.9412546Z 2022-11-23T01:37:54.9412551Z 2022-11-23T01:37:54.9412751Z [2022-11-23 01:33:03,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9412997Z [2022-11-23 01:33:03,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TensorVariable()] 2022-11-23T01:37:54.9413274Z [2022-11-23 01:33:03,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add)] 2022-11-23T01:37:54.9413586Z [2022-11-23 01:33:03,963] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add), TensorVariable()] 2022-11-23T01:37:54.9413833Z [2022-11-23 01:33:03,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9414176Z [2022-11-23 01:33:03,964] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd2372c4c90, file "inductor/test_torchinductor.py", line 108> 2022-11-23T01:37:54.9414420Z [2022-11-23 01:33:03,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9414692Z [2022-11-23 01:33:03,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632 2022-11-23T01:37:54.9414905Z [2022-11-23 01:33:03,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9415156Z [2022-11-23 01:33:03,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9415484Z [2022-11-23 01:33:03,965] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.9415732Z [2022-11-23 01:33:03,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9415969Z [2022-11-23 01:33:03,965] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.9416229Z [2022-11-23 01:33:03,966] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.9416482Z [2022-11-23 01:33:03,977] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.9416712Z [2022-11-23 01:33:03,977] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.9416847Z __compiled_fn_234 .1910 opcode, name, target, args, kwargs 2022-11-23T01:37:54.9416937Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.9417021Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.9417130Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:37:54.9417237Z output, output, output, ((model_linear,),), {} 2022-11-23T01:37:54.9417242Z 2022-11-23T01:37:54.9417521Z [2022-11-23 01:33:03,978] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9417645Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.9417736Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9417828Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.9417916Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.9417980Z 8 RETURN_VALUE 2022-11-23T01:37:54.9417996Z 2022-11-23T01:37:54.9418045Z 2022-11-23T01:37:54.9418321Z [2022-11-23 01:33:03,978] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9418429Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_234) 2022-11-23T01:37:54.9418520Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9418609Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9418683Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.9418923Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9419056Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.9419154Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.9419241Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.9419331Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.9419406Z 18 RETURN_VALUE 2022-11-23T01:37:54.9419411Z 2022-11-23T01:37:54.9419471Z 2022-11-23T01:37:54.9419662Z [2022-11-23 01:33:03,978] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.9419721Z - 2022-11-23T01:37:54.9419841Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.9419907Z { 2022-11-23T01:37:54.9420052Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.9420241Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.9420364Z 'obj_weakref': None 2022-11-23T01:37:54.9420593Z 'guarded_class': 2022-11-23T01:37:54.9420645Z } 2022-11-23T01:37:54.9420707Z 2022-11-23T01:37:54.9420780Z - 2022-11-23T01:37:54.9420907Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.9420969Z { 2022-11-23T01:37:54.9421115Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9421225Z 'code': None, 2022-11-23T01:37:54.9421427Z 'obj_weakref': 2022-11-23T01:37:54.9421685Z 'guarded_class': 2022-11-23T01:37:54.9421748Z } 2022-11-23T01:37:54.9421809Z 2022-11-23T01:37:54.9421881Z - 2022-11-23T01:37:54.9422004Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.9422066Z { 2022-11-23T01:37:54.9422197Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9422307Z 'code': None, 2022-11-23T01:37:54.9422521Z 'obj_weakref': 2022-11-23T01:37:54.9422781Z 'guarded_class': 2022-11-23T01:37:54.9422843Z } 2022-11-23T01:37:54.9422903Z 2022-11-23T01:37:54.9422972Z - 2022-11-23T01:37:54.9423082Z local 'model' NN_MODULE 2022-11-23T01:37:54.9423145Z { 2022-11-23T01:37:54.9423345Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.9423525Z 'code': ['___check_obj_id(model, 140538442131408)'], 2022-11-23T01:37:54.9423730Z 'obj_weakref': 2022-11-23T01:37:54.9423949Z 'guarded_class': 2022-11-23T01:37:54.9424012Z } 2022-11-23T01:37:54.9424061Z 2022-11-23T01:37:54.9424130Z - 2022-11-23T01:37:54.9424253Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.9424315Z { 2022-11-23T01:37:54.9424511Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.9424737Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.9424858Z 'obj_weakref': None 2022-11-23T01:37:54.9425068Z 'guarded_class': 2022-11-23T01:37:54.9425133Z } 2022-11-23T01:37:54.9425193Z 2022-11-23T01:37:54.9425264Z - 2022-11-23T01:37:54.9425421Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:37:54.9425483Z { 2022-11-23T01:37:54.9425605Z 'guard_types': None, 2022-11-23T01:37:54.9425701Z 'code': None, 2022-11-23T01:37:54.9425820Z 'obj_weakref': None 2022-11-23T01:37:54.9425944Z 'guarded_class': None 2022-11-23T01:37:54.9426007Z } 2022-11-23T01:37:54.9426070Z 2022-11-23T01:37:54.9426141Z - 2022-11-23T01:37:54.9426315Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:37:54.9426365Z { 2022-11-23T01:37:54.9426486Z 'guard_types': None, 2022-11-23T01:37:54.9426595Z 'code': None, 2022-11-23T01:37:54.9426714Z 'obj_weakref': None 2022-11-23T01:37:54.9426839Z 'guarded_class': None 2022-11-23T01:37:54.9426902Z } 2022-11-23T01:37:54.9426966Z 2022-11-23T01:37:54.9427215Z [2022-11-23 01:33:03,990] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 227 2022-11-23T01:37:54.9427581Z [2022-11-23 01:33:03,991] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5d/c5dsv3el7c6fgq7kbbkwdeckk6lcht45aln7aokul6q54loivrir.py 2022-11-23T01:37:54.9427847Z [2022-11-23 01:33:03,992] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 227 2022-11-23T01:37:54.9428085Z [2022-11-23 01:33:03,995] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.9428456Z [2022-11-23 01:33:03,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.9428677Z [2022-11-23 01:33:03,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.9428925Z [2022-11-23 01:33:03,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.9429209Z [2022-11-23 01:33:03,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.9429527Z [2022-11-23 01:33:03,995] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.9429852Z [2022-11-23 01:33:03,996] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.9429949Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9430046Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:37:54.9430136Z 4 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9430225Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9430316Z 8 STORE_FAST 1 (x) 2022-11-23T01:37:54.9430324Z 2022-11-23T01:37:54.9430452Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9430551Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:37:54.9430625Z 14 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9430712Z 16 LOAD_FAST 2 (y) 2022-11-23T01:37:54.9430798Z 18 CALL_METHOD 2 2022-11-23T01:37:54.9430885Z 20 STORE_FAST 1 (x) 2022-11-23T01:37:54.9430890Z 2022-11-23T01:37:54.9430976Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9431051Z 24 RETURN_VALUE 2022-11-23T01:37:54.9431110Z 2022-11-23T01:37:54.9431144Z 2022-11-23T01:37:54.9431419Z [2022-11-23 01:33:03,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630 2022-11-23T01:37:54.9431623Z [2022-11-23 01:33:03,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9431874Z [2022-11-23 01:33:03,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:37:54.9432117Z [2022-11-23 01:33:03,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:37:54.9432397Z [2022-11-23 01:33:03,996] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:37:54.9432638Z [2022-11-23 01:33:03,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9432906Z [2022-11-23 01:33:03,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631 2022-11-23T01:37:54.9433123Z [2022-11-23 01:33:03,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9433377Z [2022-11-23 01:33:03,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:37:54.9433631Z [2022-11-23 01:33:04,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:37:54.9433901Z [2022-11-23 01:33:04,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:37:54.9434216Z [2022-11-23 01:33:04,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9434553Z [2022-11-23 01:33:04,000] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd2372c4c90, file "inductor/test_torchinductor.py", line 108> 2022-11-23T01:37:54.9434644Z 108 0 LOAD_FAST 0 (x) 2022-11-23T01:37:54.9434737Z 2 LOAD_METHOD 0 (add) 2022-11-23T01:37:54.9434829Z 4 LOAD_FAST 1 (y) 2022-11-23T01:37:54.9434916Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9434992Z 8 RETURN_VALUE 2022-11-23T01:37:54.9435040Z 2022-11-23T01:37:54.9435045Z 2022-11-23T01:37:54.9435257Z [2022-11-23 01:33:04,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9435499Z [2022-11-23 01:33:04,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TensorVariable()] 2022-11-23T01:37:54.9435777Z [2022-11-23 01:33:04,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add)] 2022-11-23T01:37:54.9436085Z [2022-11-23 01:33:04,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add), TensorVariable()] 2022-11-23T01:37:54.9436334Z [2022-11-23 01:33:04,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9436681Z [2022-11-23 01:33:04,002] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd2372c4c90, file "inductor/test_torchinductor.py", line 108> 2022-11-23T01:37:54.9436923Z [2022-11-23 01:33:04,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9437223Z [2022-11-23 01:33:04,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632 2022-11-23T01:37:54.9437425Z [2022-11-23 01:33:04,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9437675Z [2022-11-23 01:33:04,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9438012Z [2022-11-23 01:33:04,002] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.9438259Z [2022-11-23 01:33:04,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9438528Z [2022-11-23 01:33:04,002] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.9438783Z [2022-11-23 01:33:04,003] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.9439040Z [2022-11-23 01:33:04,009] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.9439233Z [2022-11-23 01:33:04,010] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.9439369Z __compiled_fn_235 .1921 opcode, name, target, args, kwargs 2022-11-23T01:37:54.9439447Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.9439530Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.9439651Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:37:54.9439757Z output, output, output, ((model_linear,),), {} 2022-11-23T01:37:54.9439767Z 2022-11-23T01:37:54.9440047Z [2022-11-23 01:33:04,010] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9440142Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.9440232Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9440322Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.9440401Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.9440477Z 8 RETURN_VALUE 2022-11-23T01:37:54.9440482Z 2022-11-23T01:37:54.9440541Z 2022-11-23T01:37:54.9440817Z [2022-11-23 01:33:04,010] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9440924Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_235) 2022-11-23T01:37:54.9441011Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9441100Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9441174Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.9441253Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9441338Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.9441413Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.9441500Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.9441589Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.9441662Z 18 RETURN_VALUE 2022-11-23T01:37:54.9441669Z 2022-11-23T01:37:54.9441727Z 2022-11-23T01:37:54.9441899Z [2022-11-23 01:33:04,011] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.9441970Z - 2022-11-23T01:37:54.9442089Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.9442154Z { 2022-11-23T01:37:54.9442296Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.9442484Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.9442606Z 'obj_weakref': None 2022-11-23T01:37:54.9442819Z 'guarded_class': 2022-11-23T01:37:54.9442887Z } 2022-11-23T01:37:54.9442949Z 2022-11-23T01:37:54.9443018Z - 2022-11-23T01:37:54.9443145Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.9443207Z { 2022-11-23T01:37:54.9443352Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9443481Z 'code': None, 2022-11-23T01:37:54.9443702Z 'obj_weakref': 2022-11-23T01:37:54.9443960Z 'guarded_class': 2022-11-23T01:37:54.9444024Z } 2022-11-23T01:37:54.9444089Z 2022-11-23T01:37:54.9444164Z - 2022-11-23T01:37:54.9444293Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.9444346Z { 2022-11-23T01:37:54.9444490Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9444601Z 'code': None, 2022-11-23T01:37:54.9444877Z 'obj_weakref': 2022-11-23T01:37:54.9445133Z 'guarded_class': 2022-11-23T01:37:54.9445199Z } 2022-11-23T01:37:54.9445262Z 2022-11-23T01:37:54.9445319Z - 2022-11-23T01:37:54.9445445Z local 'model' NN_MODULE 2022-11-23T01:37:54.9445511Z { 2022-11-23T01:37:54.9445651Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.9445822Z 'code': ['___check_obj_id(model, 140538741552656)'], 2022-11-23T01:37:54.9452301Z 'obj_weakref': 2022-11-23T01:37:54.9452576Z 'guarded_class': 2022-11-23T01:37:54.9452644Z } 2022-11-23T01:37:54.9452707Z 2022-11-23T01:37:54.9452773Z - 2022-11-23T01:37:54.9452900Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.9452965Z { 2022-11-23T01:37:54.9453108Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.9453334Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.9453458Z 'obj_weakref': None 2022-11-23T01:37:54.9453688Z 'guarded_class': 2022-11-23T01:37:54.9453738Z } 2022-11-23T01:37:54.9453803Z 2022-11-23T01:37:54.9453874Z - 2022-11-23T01:37:54.9454033Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:37:54.9454098Z { 2022-11-23T01:37:54.9454225Z 'guard_types': None, 2022-11-23T01:37:54.9454334Z 'code': None, 2022-11-23T01:37:54.9454443Z 'obj_weakref': None 2022-11-23T01:37:54.9454568Z 'guarded_class': None 2022-11-23T01:37:54.9454635Z } 2022-11-23T01:37:54.9454698Z 2022-11-23T01:37:54.9454769Z - 2022-11-23T01:37:54.9454941Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:37:54.9455006Z { 2022-11-23T01:37:54.9455113Z 'guard_types': None, 2022-11-23T01:37:54.9455221Z 'code': None, 2022-11-23T01:37:54.9455343Z 'obj_weakref': None 2022-11-23T01:37:54.9455468Z 'guarded_class': None 2022-11-23T01:37:54.9455534Z } 2022-11-23T01:37:54.9455597Z 2022-11-23T01:37:54.9455865Z [2022-11-23 01:33:04,021] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 228 2022-11-23T01:37:54.9456226Z [2022-11-23 01:33:04,022] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qu/cquma5ybkv6g6jlcntdqvhs4w2ymqqjsrfexd35ykh6iiq2xlyjg.py 2022-11-23T01:37:54.9456494Z [2022-11-23 01:33:04,023] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 228 2022-11-23T01:37:54.9456737Z [2022-11-23 01:33:04,026] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.9457010Z [2022-11-23 01:33:04,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.9457320Z [2022-11-23 01:33:04,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.9457573Z [2022-11-23 01:33:04,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.9457853Z [2022-11-23 01:33:04,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.9458174Z [2022-11-23 01:33:04,026] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.9458514Z [2022-11-23 01:33:04,027] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.9458637Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9458878Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:37:54.9459031Z 4 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9459175Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9459285Z 8 STORE_FAST 1 (x) 2022-11-23T01:37:54.9459292Z 2022-11-23T01:37:54.9459385Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9459483Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:37:54.9459570Z 14 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9459645Z 16 LOAD_FAST 2 (y) 2022-11-23T01:37:54.9459732Z 18 CALL_METHOD 2 2022-11-23T01:37:54.9459822Z 20 STORE_FAST 1 (x) 2022-11-23T01:37:54.9459827Z 2022-11-23T01:37:54.9459916Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9459993Z 24 RETURN_VALUE 2022-11-23T01:37:54.9460054Z 2022-11-23T01:37:54.9460059Z 2022-11-23T01:37:54.9460343Z [2022-11-23 01:33:04,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630 2022-11-23T01:37:54.9460565Z [2022-11-23 01:33:04,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9460807Z [2022-11-23 01:33:04,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:37:54.9461054Z [2022-11-23 01:33:04,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:37:54.9461334Z [2022-11-23 01:33:04,027] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:37:54.9461575Z [2022-11-23 01:33:04,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9461851Z [2022-11-23 01:33:04,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631 2022-11-23T01:37:54.9462066Z [2022-11-23 01:33:04,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9462320Z [2022-11-23 01:33:04,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:37:54.9462581Z [2022-11-23 01:33:04,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:37:54.9462863Z [2022-11-23 01:33:04,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:37:54.9463168Z [2022-11-23 01:33:04,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9463506Z [2022-11-23 01:33:04,035] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd2372c4c90, file "inductor/test_torchinductor.py", line 108> 2022-11-23T01:37:54.9463602Z 108 0 LOAD_FAST 0 (x) 2022-11-23T01:37:54.9463698Z 2 LOAD_METHOD 0 (add) 2022-11-23T01:37:54.9463791Z 4 LOAD_FAST 1 (y) 2022-11-23T01:37:54.9463880Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9463957Z 8 RETURN_VALUE 2022-11-23T01:37:54.9464087Z 2022-11-23T01:37:54.9464094Z 2022-11-23T01:37:54.9464294Z [2022-11-23 01:33:04,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9464538Z [2022-11-23 01:33:04,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TensorVariable()] 2022-11-23T01:37:54.9464812Z [2022-11-23 01:33:04,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add)] 2022-11-23T01:37:54.9465120Z [2022-11-23 01:33:04,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add), TensorVariable()] 2022-11-23T01:37:54.9465412Z [2022-11-23 01:33:04,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9465755Z [2022-11-23 01:33:04,037] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd2372c4c90, file "inductor/test_torchinductor.py", line 108> 2022-11-23T01:37:54.9466002Z [2022-11-23 01:33:04,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9466275Z [2022-11-23 01:33:04,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632 2022-11-23T01:37:54.9466487Z [2022-11-23 01:33:04,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9466738Z [2022-11-23 01:33:04,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9467066Z [2022-11-23 01:33:04,037] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.9467319Z [2022-11-23 01:33:04,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9467557Z [2022-11-23 01:33:04,037] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.9467817Z [2022-11-23 01:33:04,038] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.9468070Z [2022-11-23 01:33:04,049] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.9468359Z [2022-11-23 01:33:04,049] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.9468494Z __compiled_fn_236 .1932 opcode, name, target, args, kwargs 2022-11-23T01:37:54.9468586Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.9468661Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.9468785Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:37:54.9468895Z output, output, output, ((model_linear,),), {} 2022-11-23T01:37:54.9468900Z 2022-11-23T01:37:54.9469182Z [2022-11-23 01:33:04,049] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9469278Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.9469371Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9469464Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.9469553Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.9469617Z 8 RETURN_VALUE 2022-11-23T01:37:54.9469635Z 2022-11-23T01:37:54.9469684Z 2022-11-23T01:37:54.9469964Z [2022-11-23 01:33:04,050] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9470074Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_236) 2022-11-23T01:37:54.9470165Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9470258Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9470336Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.9470427Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9470501Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.9470577Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.9470702Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.9470796Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.9470873Z 18 RETURN_VALUE 2022-11-23T01:37:54.9470878Z 2022-11-23T01:37:54.9470938Z 2022-11-23T01:37:54.9471126Z [2022-11-23 01:33:04,050] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.9471185Z - 2022-11-23T01:37:54.9471305Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.9471371Z { 2022-11-23T01:37:54.9471515Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.9471705Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.9471864Z 'obj_weakref': None 2022-11-23T01:37:54.9472094Z 'guarded_class': 2022-11-23T01:37:54.9472145Z } 2022-11-23T01:37:54.9472207Z 2022-11-23T01:37:54.9472278Z - 2022-11-23T01:37:54.9472405Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.9472470Z { 2022-11-23T01:37:54.9472617Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9472728Z 'code': None, 2022-11-23T01:37:54.9472933Z 'obj_weakref': 2022-11-23T01:37:54.9473189Z 'guarded_class': 2022-11-23T01:37:54.9473254Z } 2022-11-23T01:37:54.9473320Z 2022-11-23T01:37:54.9473392Z - 2022-11-23T01:37:54.9473517Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.9473586Z { 2022-11-23T01:37:54.9473718Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9473828Z 'code': None, 2022-11-23T01:37:54.9474041Z 'obj_weakref': 2022-11-23T01:37:54.9474302Z 'guarded_class': 2022-11-23T01:37:54.9474367Z } 2022-11-23T01:37:54.9474429Z 2022-11-23T01:37:54.9474500Z - 2022-11-23T01:37:54.9474610Z local 'model' NN_MODULE 2022-11-23T01:37:54.9474675Z { 2022-11-23T01:37:54.9474811Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.9474984Z 'code': ['___check_obj_id(model, 140538442188752)'], 2022-11-23T01:37:54.9475191Z 'obj_weakref': 2022-11-23T01:37:54.9475412Z 'guarded_class': 2022-11-23T01:37:54.9475479Z } 2022-11-23T01:37:54.9475529Z 2022-11-23T01:37:54.9475599Z - 2022-11-23T01:37:54.9475722Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.9475788Z { 2022-11-23T01:37:54.9475926Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.9476151Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.9476274Z 'obj_weakref': None 2022-11-23T01:37:54.9476483Z 'guarded_class': 2022-11-23T01:37:54.9476548Z } 2022-11-23T01:37:54.9476610Z 2022-11-23T01:37:54.9476682Z - 2022-11-23T01:37:54.9476842Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:37:54.9476906Z { 2022-11-23T01:37:54.9477028Z 'guard_types': None, 2022-11-23T01:37:54.9477122Z 'code': None, 2022-11-23T01:37:54.9477245Z 'obj_weakref': None 2022-11-23T01:37:54.9477369Z 'guarded_class': None 2022-11-23T01:37:54.9477432Z } 2022-11-23T01:37:54.9477495Z 2022-11-23T01:37:54.9477566Z - 2022-11-23T01:37:54.9477738Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:37:54.9477789Z { 2022-11-23T01:37:54.9477940Z 'guard_types': None, 2022-11-23T01:37:54.9478053Z 'code': None, 2022-11-23T01:37:54.9478173Z 'obj_weakref': None 2022-11-23T01:37:54.9478301Z 'guarded_class': None 2022-11-23T01:37:54.9478364Z } 2022-11-23T01:37:54.9478413Z 2022-11-23T01:37:54.9478676Z [2022-11-23 01:33:04,061] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 229 2022-11-23T01:37:54.9479046Z [2022-11-23 01:33:04,063] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/g7/cg7to27trjjhu55dlkqkntb6q5dznx7eohp57zne2hp5rrqocksh.py 2022-11-23T01:37:54.9479363Z [2022-11-23 01:33:04,063] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 229 2022-11-23T01:37:54.9479607Z [2022-11-23 01:33:04,067] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.9479881Z [2022-11-23 01:33:04,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.9480104Z [2022-11-23 01:33:04,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.9480353Z [2022-11-23 01:33:04,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.9480633Z [2022-11-23 01:33:04,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.9480956Z [2022-11-23 01:33:04,067] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.9481285Z [2022-11-23 01:33:04,067] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.9481381Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9481478Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:37:54.9481571Z 4 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9481664Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9481757Z 8 STORE_FAST 1 (x) 2022-11-23T01:37:54.9481763Z 2022-11-23T01:37:54.9481854Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9481951Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:37:54.9482026Z 14 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9482113Z 16 LOAD_FAST 2 (y) 2022-11-23T01:37:54.9482202Z 18 CALL_METHOD 2 2022-11-23T01:37:54.9482292Z 20 STORE_FAST 1 (x) 2022-11-23T01:37:54.9482296Z 2022-11-23T01:37:54.9482383Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9482460Z 24 RETURN_VALUE 2022-11-23T01:37:54.9482520Z 2022-11-23T01:37:54.9482525Z 2022-11-23T01:37:54.9482800Z [2022-11-23 01:33:04,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630 2022-11-23T01:37:54.9483003Z [2022-11-23 01:33:04,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9483256Z [2022-11-23 01:33:04,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:37:54.9483503Z [2022-11-23 01:33:04,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:37:54.9483781Z [2022-11-23 01:33:04,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:37:54.9484026Z [2022-11-23 01:33:04,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9484294Z [2022-11-23 01:33:04,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631 2022-11-23T01:37:54.9484508Z [2022-11-23 01:33:04,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9484796Z [2022-11-23 01:33:04,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:37:54.9485054Z [2022-11-23 01:33:04,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:37:54.9485320Z [2022-11-23 01:33:04,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:37:54.9485637Z [2022-11-23 01:33:04,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9486008Z [2022-11-23 01:33:04,071] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd2372c4c90, file "inductor/test_torchinductor.py", line 108> 2022-11-23T01:37:54.9486102Z 108 0 LOAD_FAST 0 (x) 2022-11-23T01:37:54.9486202Z 2 LOAD_METHOD 0 (add) 2022-11-23T01:37:54.9486293Z 4 LOAD_FAST 1 (y) 2022-11-23T01:37:54.9486385Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9486464Z 8 RETURN_VALUE 2022-11-23T01:37:54.9486513Z 2022-11-23T01:37:54.9486518Z 2022-11-23T01:37:54.9486731Z [2022-11-23 01:33:04,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9486976Z [2022-11-23 01:33:04,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TensorVariable()] 2022-11-23T01:37:54.9487250Z [2022-11-23 01:33:04,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add)] 2022-11-23T01:37:54.9487559Z [2022-11-23 01:33:04,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add), TensorVariable()] 2022-11-23T01:37:54.9487809Z [2022-11-23 01:33:04,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9488153Z [2022-11-23 01:33:04,073] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd2372c4c90, file "inductor/test_torchinductor.py", line 108> 2022-11-23T01:37:54.9488396Z [2022-11-23 01:33:04,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9488654Z [2022-11-23 01:33:04,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632 2022-11-23T01:37:54.9488871Z [2022-11-23 01:33:04,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9489121Z [2022-11-23 01:33:04,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9489459Z [2022-11-23 01:33:04,073] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.9489708Z [2022-11-23 01:33:04,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9489947Z [2022-11-23 01:33:04,073] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.9490204Z [2022-11-23 01:33:04,074] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.9490458Z [2022-11-23 01:33:04,080] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.9490637Z [2022-11-23 01:33:04,080] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.9490774Z __compiled_fn_237 .1943 opcode, name, target, args, kwargs 2022-11-23T01:37:54.9490865Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.9490954Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.9491075Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:37:54.9491181Z output, output, output, ((model_linear,),), {} 2022-11-23T01:37:54.9491186Z 2022-11-23T01:37:54.9491463Z [2022-11-23 01:33:04,081] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9491586Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.9491665Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9491756Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.9491844Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.9491922Z 8 RETURN_VALUE 2022-11-23T01:37:54.9491927Z 2022-11-23T01:37:54.9491986Z 2022-11-23T01:37:54.9492264Z [2022-11-23 01:33:04,081] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9492372Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_237) 2022-11-23T01:37:54.9492510Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9492587Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9492661Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.9492748Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9492837Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.9492914Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.9493003Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.9493096Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.9493157Z 18 RETURN_VALUE 2022-11-23T01:37:54.9493162Z 2022-11-23T01:37:54.9493222Z 2022-11-23T01:37:54.9493411Z [2022-11-23 01:33:04,081] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.9493485Z - 2022-11-23T01:37:54.9493607Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.9493672Z { 2022-11-23T01:37:54.9493817Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.9493996Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.9494119Z 'obj_weakref': None 2022-11-23T01:37:54.9494348Z 'guarded_class': 2022-11-23T01:37:54.9494414Z } 2022-11-23T01:37:54.9494480Z 2022-11-23T01:37:54.9494554Z - 2022-11-23T01:37:54.9494684Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.9494735Z { 2022-11-23T01:37:54.9494881Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9494992Z 'code': None, 2022-11-23T01:37:54.9495210Z 'obj_weakref': 2022-11-23T01:37:54.9495472Z 'guarded_class': 2022-11-23T01:37:54.9495537Z } 2022-11-23T01:37:54.9495604Z 2022-11-23T01:37:54.9495663Z - 2022-11-23T01:37:54.9495789Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.9495855Z { 2022-11-23T01:37:54.9496001Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9496112Z 'code': None, 2022-11-23T01:37:54.9496329Z 'obj_weakref': 2022-11-23T01:37:54.9496588Z 'guarded_class': 2022-11-23T01:37:54.9496640Z } 2022-11-23T01:37:54.9496702Z 2022-11-23T01:37:54.9496773Z - 2022-11-23T01:37:54.9496897Z local 'model' NN_MODULE 2022-11-23T01:37:54.9496962Z { 2022-11-23T01:37:54.9497098Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.9497273Z 'code': ['___check_obj_id(model, 140538746546192)'], 2022-11-23T01:37:54.9497471Z 'obj_weakref': 2022-11-23T01:37:54.9497692Z 'guarded_class': 2022-11-23T01:37:54.9497757Z } 2022-11-23T01:37:54.9497822Z 2022-11-23T01:37:54.9497895Z - 2022-11-23T01:37:54.9498021Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.9498085Z { 2022-11-23T01:37:54.9498248Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.9498475Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.9498598Z 'obj_weakref': None 2022-11-23T01:37:54.9498995Z 'guarded_class': 2022-11-23T01:37:54.9499094Z } 2022-11-23T01:37:54.9499164Z 2022-11-23T01:37:54.9499237Z - 2022-11-23T01:37:54.9499382Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:37:54.9499511Z { 2022-11-23T01:37:54.9499637Z 'guard_types': None, 2022-11-23T01:37:54.9499748Z 'code': None, 2022-11-23T01:37:54.9499871Z 'obj_weakref': None 2022-11-23T01:37:54.9499994Z 'guarded_class': None 2022-11-23T01:37:54.9500058Z } 2022-11-23T01:37:54.9500107Z 2022-11-23T01:37:54.9500181Z - 2022-11-23T01:37:54.9500353Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:37:54.9500419Z { 2022-11-23T01:37:54.9500541Z 'guard_types': None, 2022-11-23T01:37:54.9500650Z 'code': None, 2022-11-23T01:37:54.9500758Z 'obj_weakref': None 2022-11-23T01:37:54.9500884Z 'guarded_class': None 2022-11-23T01:37:54.9500950Z } 2022-11-23T01:37:54.9501013Z 2022-11-23T01:37:54.9501275Z [2022-11-23 01:33:04,092] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 230 2022-11-23T01:37:54.9501648Z [2022-11-23 01:33:04,093] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6j/c6jpbqlpntl5z65iza4pnyoty5gi5rnxnoamuwfiu2ymwxediekh.py 2022-11-23T01:37:54.9501915Z [2022-11-23 01:33:04,093] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 230 2022-11-23T01:37:54.9502155Z [2022-11-23 01:33:04,097] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.9502425Z [2022-11-23 01:33:04,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.9502631Z [2022-11-23 01:33:04,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.9502876Z [2022-11-23 01:33:04,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.9503155Z [2022-11-23 01:33:04,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.9503476Z [2022-11-23 01:33:04,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.9503809Z [2022-11-23 01:33:04,097] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.9503904Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9503998Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:37:54.9504086Z 4 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9504164Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9504253Z 8 STORE_FAST 1 (x) 2022-11-23T01:37:54.9504259Z 2022-11-23T01:37:54.9504349Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9504443Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:37:54.9504530Z 14 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9504618Z 16 LOAD_FAST 2 (y) 2022-11-23T01:37:54.9504704Z 18 CALL_METHOD 2 2022-11-23T01:37:54.9504792Z 20 STORE_FAST 1 (x) 2022-11-23T01:37:54.9504797Z 2022-11-23T01:37:54.9504870Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9504943Z 24 RETURN_VALUE 2022-11-23T01:37:54.9505042Z 2022-11-23T01:37:54.9505048Z 2022-11-23T01:37:54.9505323Z [2022-11-23 01:33:04,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630 2022-11-23T01:37:54.9505541Z [2022-11-23 01:33:04,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9505794Z [2022-11-23 01:33:04,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:37:54.9506040Z [2022-11-23 01:33:04,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:37:54.9506317Z [2022-11-23 01:33:04,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:37:54.9506591Z [2022-11-23 01:33:04,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9506847Z [2022-11-23 01:33:04,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631 2022-11-23T01:37:54.9507062Z [2022-11-23 01:33:04,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9507317Z [2022-11-23 01:33:04,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:37:54.9507568Z [2022-11-23 01:33:04,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:37:54.9507848Z [2022-11-23 01:33:04,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:37:54.9508265Z [2022-11-23 01:33:04,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9508613Z [2022-11-23 01:33:04,106] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd23725ae40, file "inductor/test_torchinductor.py", line 109> 2022-11-23T01:37:54.9508704Z 109 0 LOAD_FAST 0 (x) 2022-11-23T01:37:54.9508801Z 2 LOAD_METHOD 0 (add_) 2022-11-23T01:37:54.9508880Z 4 LOAD_FAST 1 (y) 2022-11-23T01:37:54.9508967Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9509043Z 8 RETURN_VALUE 2022-11-23T01:37:54.9509104Z 2022-11-23T01:37:54.9509109Z 2022-11-23T01:37:54.9509320Z [2022-11-23 01:33:04,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9509566Z [2022-11-23 01:33:04,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add_ [TensorVariable()] 2022-11-23T01:37:54.9509843Z [2022-11-23 01:33:04,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add_)] 2022-11-23T01:37:54.9510158Z [2022-11-23 01:33:04,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add_), TensorVariable()] 2022-11-23T01:37:54.9510395Z [2022-11-23 01:33:04,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9510736Z [2022-11-23 01:33:04,107] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd23725ae40, file "inductor/test_torchinductor.py", line 109> 2022-11-23T01:37:54.9510978Z [2022-11-23 01:33:04,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9511249Z [2022-11-23 01:33:04,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632 2022-11-23T01:37:54.9511463Z [2022-11-23 01:33:04,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9511722Z [2022-11-23 01:33:04,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9512062Z [2022-11-23 01:33:04,108] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.9512347Z [2022-11-23 01:33:04,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9512588Z [2022-11-23 01:33:04,108] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.9512843Z [2022-11-23 01:33:04,109] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.9513079Z [2022-11-23 01:33:04,120] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.9513271Z [2022-11-23 01:33:04,120] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.9513403Z __compiled_fn_238 .1954 opcode, name, target, args, kwargs 2022-11-23T01:37:54.9513525Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.9513610Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.9513732Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:37:54.9513837Z output, output, output, ((model_linear,),), {} 2022-11-23T01:37:54.9513842Z 2022-11-23T01:37:54.9514123Z [2022-11-23 01:33:04,120] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9514206Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.9514293Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9514384Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.9514473Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.9514550Z 8 RETURN_VALUE 2022-11-23T01:37:54.9514555Z 2022-11-23T01:37:54.9514614Z 2022-11-23T01:37:54.9514887Z [2022-11-23 01:33:04,120] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9514986Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_238) 2022-11-23T01:37:54.9515073Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9515166Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9515242Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.9515329Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9515414Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.9515489Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.9515576Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.9515654Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.9515727Z 18 RETURN_VALUE 2022-11-23T01:37:54.9515732Z 2022-11-23T01:37:54.9515792Z 2022-11-23T01:37:54.9515979Z [2022-11-23 01:33:04,121] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.9516049Z - 2022-11-23T01:37:54.9516175Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.9516237Z { 2022-11-23T01:37:54.9516367Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.9516555Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.9516675Z 'obj_weakref': None 2022-11-23T01:37:54.9516904Z 'guarded_class': 2022-11-23T01:37:54.9516967Z } 2022-11-23T01:37:54.9517029Z 2022-11-23T01:37:54.9517097Z - 2022-11-23T01:37:54.9517213Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.9517276Z { 2022-11-23T01:37:54.9517420Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9517532Z 'code': None, 2022-11-23T01:37:54.9517748Z 'obj_weakref': 2022-11-23T01:37:54.9518005Z 'guarded_class': 2022-11-23T01:37:54.9518070Z } 2022-11-23T01:37:54.9518120Z 2022-11-23T01:37:54.9518189Z - 2022-11-23T01:37:54.9518314Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.9518375Z { 2022-11-23T01:37:54.9518518Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9518662Z 'code': None, 2022-11-23T01:37:54.9518877Z 'obj_weakref': 2022-11-23T01:37:54.9519121Z 'guarded_class': 2022-11-23T01:37:54.9519184Z } 2022-11-23T01:37:54.9519245Z 2022-11-23T01:37:54.9519315Z - 2022-11-23T01:37:54.9519436Z local 'model' NN_MODULE 2022-11-23T01:37:54.9519498Z { 2022-11-23T01:37:54.9519631Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.9519824Z 'code': ['___check_obj_id(model, 140538441542224)'], 2022-11-23T01:37:54.9520029Z 'obj_weakref': 2022-11-23T01:37:54.9520245Z 'guarded_class': 2022-11-23T01:37:54.9520307Z } 2022-11-23T01:37:54.9520370Z 2022-11-23T01:37:54.9520441Z - 2022-11-23T01:37:54.9520564Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.9520614Z { 2022-11-23T01:37:54.9520751Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.9520971Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.9521092Z 'obj_weakref': None 2022-11-23T01:37:54.9521314Z 'guarded_class': 2022-11-23T01:37:54.9521376Z } 2022-11-23T01:37:54.9521439Z 2022-11-23T01:37:54.9521499Z - 2022-11-23T01:37:54.9521654Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:37:54.9521717Z { 2022-11-23T01:37:54.9521836Z 'guard_types': None, 2022-11-23T01:37:54.9521944Z 'code': None, 2022-11-23T01:37:54.9522063Z 'obj_weakref': None 2022-11-23T01:37:54.9522189Z 'guarded_class': None 2022-11-23T01:37:54.9522239Z } 2022-11-23T01:37:54.9522301Z 2022-11-23T01:37:54.9522371Z - 2022-11-23T01:37:54.9522540Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:37:54.9522602Z { 2022-11-23T01:37:54.9522722Z 'guard_types': None, 2022-11-23T01:37:54.9522817Z 'code': None, 2022-11-23T01:37:54.9522936Z 'obj_weakref': None 2022-11-23T01:37:54.9523059Z 'guarded_class': None 2022-11-23T01:37:54.9523125Z } 2022-11-23T01:37:54.9523185Z 2022-11-23T01:37:54.9523451Z [2022-11-23 01:33:04,132] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 231 2022-11-23T01:37:54.9523818Z [2022-11-23 01:33:04,134] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5d/c5dsv3el7c6fgq7kbbkwdeckk6lcht45aln7aokul6q54loivrir.py 2022-11-23T01:37:54.9524085Z [2022-11-23 01:33:04,134] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 231 2022-11-23T01:37:54.9524313Z [2022-11-23 01:33:04,138] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.9524583Z [2022-11-23 01:33:04,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.9524802Z [2022-11-23 01:33:04,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.9525046Z [2022-11-23 01:33:04,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.9525331Z [2022-11-23 01:33:04,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.9525647Z [2022-11-23 01:33:04,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.9526011Z [2022-11-23 01:33:04,138] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.9526106Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9526202Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:37:54.9526277Z 4 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9526365Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9526457Z 8 STORE_FAST 1 (x) 2022-11-23T01:37:54.9526462Z 2022-11-23T01:37:54.9526553Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9526694Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:37:54.9526781Z 14 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9526868Z 16 LOAD_FAST 2 (y) 2022-11-23T01:37:54.9526955Z 18 CALL_METHOD 2 2022-11-23T01:37:54.9527031Z 20 STORE_FAST 1 (x) 2022-11-23T01:37:54.9527036Z 2022-11-23T01:37:54.9527123Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9527199Z 24 RETURN_VALUE 2022-11-23T01:37:54.9527258Z 2022-11-23T01:37:54.9527263Z 2022-11-23T01:37:54.9527536Z [2022-11-23 01:33:04,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630 2022-11-23T01:37:54.9527753Z [2022-11-23 01:33:04,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9528004Z [2022-11-23 01:33:04,138] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:37:54.9528253Z [2022-11-23 01:33:04,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:37:54.9528518Z [2022-11-23 01:33:04,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:37:54.9528758Z [2022-11-23 01:33:04,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9529028Z [2022-11-23 01:33:04,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631 2022-11-23T01:37:54.9529242Z [2022-11-23 01:33:04,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9529495Z [2022-11-23 01:33:04,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:37:54.9529748Z [2022-11-23 01:33:04,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:37:54.9530028Z [2022-11-23 01:33:04,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:37:54.9530345Z [2022-11-23 01:33:04,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9530681Z [2022-11-23 01:33:04,142] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd23725ae40, file "inductor/test_torchinductor.py", line 109> 2022-11-23T01:37:54.9530774Z 109 0 LOAD_FAST 0 (x) 2022-11-23T01:37:54.9530856Z 2 LOAD_METHOD 0 (add_) 2022-11-23T01:37:54.9530945Z 4 LOAD_FAST 1 (y) 2022-11-23T01:37:54.9531033Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9531108Z 8 RETURN_VALUE 2022-11-23T01:37:54.9531169Z 2022-11-23T01:37:54.9531174Z 2022-11-23T01:37:54.9531388Z [2022-11-23 01:33:04,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9531631Z [2022-11-23 01:33:04,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add_ [TensorVariable()] 2022-11-23T01:37:54.9531897Z [2022-11-23 01:33:04,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add_)] 2022-11-23T01:37:54.9532235Z [2022-11-23 01:33:04,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add_), TensorVariable()] 2022-11-23T01:37:54.9532485Z [2022-11-23 01:33:04,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9532824Z [2022-11-23 01:33:04,144] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd23725ae40, file "inductor/test_torchinductor.py", line 109> 2022-11-23T01:37:54.9533067Z [2022-11-23 01:33:04,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9533336Z [2022-11-23 01:33:04,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632 2022-11-23T01:37:54.9533582Z [2022-11-23 01:33:04,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9533827Z [2022-11-23 01:33:04,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9534167Z [2022-11-23 01:33:04,144] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.9534417Z [2022-11-23 01:33:04,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9534642Z [2022-11-23 01:33:04,144] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.9534898Z [2022-11-23 01:33:04,145] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.9535147Z [2022-11-23 01:33:04,151] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.9535342Z [2022-11-23 01:33:04,151] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.9535476Z __compiled_fn_239 .1965 opcode, name, target, args, kwargs 2022-11-23T01:37:54.9535566Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.9535651Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.9535774Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:37:54.9535868Z output, output, output, ((model_linear,),), {} 2022-11-23T01:37:54.9535884Z 2022-11-23T01:37:54.9536151Z [2022-11-23 01:33:04,152] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9536244Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.9536334Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9536425Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.9536514Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.9536591Z 8 RETURN_VALUE 2022-11-23T01:37:54.9536597Z 2022-11-23T01:37:54.9536656Z 2022-11-23T01:37:54.9536918Z [2022-11-23 01:33:04,152] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9537027Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_239) 2022-11-23T01:37:54.9537117Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9537205Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9537282Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.9537370Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9537457Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.9537519Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.9537610Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.9537701Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.9537783Z 18 RETURN_VALUE 2022-11-23T01:37:54.9537788Z 2022-11-23T01:37:54.9537852Z 2022-11-23T01:37:54.9538038Z [2022-11-23 01:33:04,152] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.9538112Z - 2022-11-23T01:37:54.9538233Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.9538284Z { 2022-11-23T01:37:54.9538429Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.9538658Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.9538973Z 'obj_weakref': None 2022-11-23T01:37:54.9539258Z 'guarded_class': 2022-11-23T01:37:54.9539325Z } 2022-11-23T01:37:54.9539388Z 2022-11-23T01:37:54.9539446Z - 2022-11-23T01:37:54.9539574Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.9539640Z { 2022-11-23T01:37:54.9539786Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9539900Z 'code': None, 2022-11-23T01:37:54.9540115Z 'obj_weakref': 2022-11-23T01:37:54.9540435Z 'guarded_class': 2022-11-23T01:37:54.9540488Z } 2022-11-23T01:37:54.9540551Z 2022-11-23T01:37:54.9540622Z - 2022-11-23T01:37:54.9540751Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.9540816Z { 2022-11-23T01:37:54.9540963Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9541075Z 'code': None, 2022-11-23T01:37:54.9541276Z 'obj_weakref': 2022-11-23T01:37:54.9541531Z 'guarded_class': 2022-11-23T01:37:54.9541601Z } 2022-11-23T01:37:54.9541666Z 2022-11-23T01:37:54.9541741Z - 2022-11-23T01:37:54.9541867Z local 'model' NN_MODULE 2022-11-23T01:37:54.9541935Z { 2022-11-23T01:37:54.9542058Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.9542230Z 'code': ['___check_obj_id(model, 140538746948304)'], 2022-11-23T01:37:54.9542441Z 'obj_weakref': 2022-11-23T01:37:54.9542664Z 'guarded_class': 2022-11-23T01:37:54.9542730Z } 2022-11-23T01:37:54.9542794Z 2022-11-23T01:37:54.9542870Z - 2022-11-23T01:37:54.9542981Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.9543042Z { 2022-11-23T01:37:54.9543182Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.9543405Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.9543530Z 'obj_weakref': None 2022-11-23T01:37:54.9543751Z 'guarded_class': 2022-11-23T01:37:54.9543818Z } 2022-11-23T01:37:54.9543868Z 2022-11-23T01:37:54.9543939Z - 2022-11-23T01:37:54.9544097Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:37:54.9544158Z { 2022-11-23T01:37:54.9544281Z 'guard_types': None, 2022-11-23T01:37:54.9544391Z 'code': None, 2022-11-23T01:37:54.9544513Z 'obj_weakref': None 2022-11-23T01:37:54.9544624Z 'guarded_class': None 2022-11-23T01:37:54.9544686Z } 2022-11-23T01:37:54.9544747Z 2022-11-23T01:37:54.9544814Z - 2022-11-23T01:37:54.9544982Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:37:54.9545047Z { 2022-11-23T01:37:54.9545153Z 'guard_types': None, 2022-11-23T01:37:54.9545260Z 'code': None, 2022-11-23T01:37:54.9545376Z 'obj_weakref': None 2022-11-23T01:37:54.9545502Z 'guarded_class': None 2022-11-23T01:37:54.9545563Z } 2022-11-23T01:37:54.9545624Z 2022-11-23T01:37:54.9545889Z [2022-11-23 01:33:04,163] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 232 2022-11-23T01:37:54.9546302Z [2022-11-23 01:33:04,165] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qu/cquma5ybkv6g6jlcntdqvhs4w2ymqqjsrfexd35ykh6iiq2xlyjg.py 2022-11-23T01:37:54.9546561Z [2022-11-23 01:33:04,165] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 232 2022-11-23T01:37:54.9546801Z [2022-11-23 01:33:04,169] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.9547069Z [2022-11-23 01:33:04,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.9547287Z [2022-11-23 01:33:04,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.9547565Z [2022-11-23 01:33:04,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.9547842Z [2022-11-23 01:33:04,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.9548242Z [2022-11-23 01:33:04,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.9548586Z [2022-11-23 01:33:04,169] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.9548681Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9548765Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:37:54.9548856Z 4 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9548944Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9549034Z 8 STORE_FAST 1 (x) 2022-11-23T01:37:54.9549042Z 2022-11-23T01:37:54.9549133Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9549229Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:37:54.9549316Z 14 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9549403Z 16 LOAD_FAST 2 (y) 2022-11-23T01:37:54.9549481Z 18 CALL_METHOD 2 2022-11-23T01:37:54.9549568Z 20 STORE_FAST 1 (x) 2022-11-23T01:37:54.9549573Z 2022-11-23T01:37:54.9549658Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9549732Z 24 RETURN_VALUE 2022-11-23T01:37:54.9549793Z 2022-11-23T01:37:54.9549798Z 2022-11-23T01:37:54.9550073Z [2022-11-23 01:33:04,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630 2022-11-23T01:37:54.9550289Z [2022-11-23 01:33:04,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9550545Z [2022-11-23 01:33:04,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:37:54.9550777Z [2022-11-23 01:33:04,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:37:54.9551055Z [2022-11-23 01:33:04,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:37:54.9551296Z [2022-11-23 01:33:04,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9551564Z [2022-11-23 01:33:04,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631 2022-11-23T01:37:54.9551778Z [2022-11-23 01:33:04,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9552031Z [2022-11-23 01:33:04,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:37:54.9552285Z [2022-11-23 01:33:04,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:37:54.9552570Z [2022-11-23 01:33:04,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:37:54.9552885Z [2022-11-23 01:33:04,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9553241Z [2022-11-23 01:33:04,178] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd23725ae40, file "inductor/test_torchinductor.py", line 109> 2022-11-23T01:37:54.9553340Z 109 0 LOAD_FAST 0 (x) 2022-11-23T01:37:54.9553433Z 2 LOAD_METHOD 0 (add_) 2022-11-23T01:37:54.9553521Z 4 LOAD_FAST 1 (y) 2022-11-23T01:37:54.9553609Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9553685Z 8 RETURN_VALUE 2022-11-23T01:37:54.9553745Z 2022-11-23T01:37:54.9553750Z 2022-11-23T01:37:54.9553993Z [2022-11-23 01:33:04,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9554224Z [2022-11-23 01:33:04,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add_ [TensorVariable()] 2022-11-23T01:37:54.9554497Z [2022-11-23 01:33:04,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add_)] 2022-11-23T01:37:54.9554807Z [2022-11-23 01:33:04,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add_), TensorVariable()] 2022-11-23T01:37:54.9555055Z [2022-11-23 01:33:04,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9555394Z [2022-11-23 01:33:04,179] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd23725ae40, file "inductor/test_torchinductor.py", line 109> 2022-11-23T01:37:54.9555636Z [2022-11-23 01:33:04,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9555906Z [2022-11-23 01:33:04,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632 2022-11-23T01:37:54.9556120Z [2022-11-23 01:33:04,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9556369Z [2022-11-23 01:33:04,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9556706Z [2022-11-23 01:33:04,179] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.9556942Z [2022-11-23 01:33:04,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9557179Z [2022-11-23 01:33:04,179] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.9557434Z [2022-11-23 01:33:04,180] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.9557689Z [2022-11-23 01:33:04,191] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.9557883Z [2022-11-23 01:33:04,191] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.9558017Z __compiled_fn_240 .1976 opcode, name, target, args, kwargs 2022-11-23T01:37:54.9558107Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.9558195Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.9558303Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:37:54.9558408Z output, output, output, ((model_linear,),), {} 2022-11-23T01:37:54.9558414Z 2022-11-23T01:37:54.9558692Z [2022-11-23 01:33:04,191] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9558785Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.9558874Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9558965Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.9559058Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.9559132Z 8 RETURN_VALUE 2022-11-23T01:37:54.9559138Z 2022-11-23T01:37:54.9559186Z 2022-11-23T01:37:54.9559458Z [2022-11-23 01:33:04,191] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9559634Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_240) 2022-11-23T01:37:54.9559725Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9559816Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9559892Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.9559979Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9560053Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.9560129Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.9560217Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.9560308Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.9560416Z 18 RETURN_VALUE 2022-11-23T01:37:54.9560421Z 2022-11-23T01:37:54.9560480Z 2022-11-23T01:37:54.9560669Z [2022-11-23 01:33:04,192] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.9560738Z - 2022-11-23T01:37:54.9560846Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.9560910Z { 2022-11-23T01:37:54.9561056Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.9561249Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.9561371Z 'obj_weakref': None 2022-11-23T01:37:54.9561596Z 'guarded_class': 2022-11-23T01:37:54.9561659Z } 2022-11-23T01:37:54.9561708Z 2022-11-23T01:37:54.9561778Z - 2022-11-23T01:37:54.9561905Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.9561967Z { 2022-11-23T01:37:54.9562114Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9562227Z 'code': None, 2022-11-23T01:37:54.9562430Z 'obj_weakref': 2022-11-23T01:37:54.9562687Z 'guarded_class': 2022-11-23T01:37:54.9562753Z } 2022-11-23T01:37:54.9562815Z 2022-11-23T01:37:54.9562885Z - 2022-11-23T01:37:54.9563012Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.9563074Z { 2022-11-23T01:37:54.9563203Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9563312Z 'code': None, 2022-11-23T01:37:54.9563525Z 'obj_weakref': 2022-11-23T01:37:54.9563778Z 'guarded_class': 2022-11-23T01:37:54.9563842Z } 2022-11-23T01:37:54.9563904Z 2022-11-23T01:37:54.9563974Z - 2022-11-23T01:37:54.9564097Z local 'model' NN_MODULE 2022-11-23T01:37:54.9564147Z { 2022-11-23T01:37:54.9564281Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.9564454Z 'code': ['___check_obj_id(model, 140538743485328)'], 2022-11-23T01:37:54.9564664Z 'obj_weakref': 2022-11-23T01:37:54.9564879Z 'guarded_class': 2022-11-23T01:37:54.9564943Z } 2022-11-23T01:37:54.9565003Z 2022-11-23T01:37:54.9565059Z - 2022-11-23T01:37:54.9565181Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.9565244Z { 2022-11-23T01:37:54.9565384Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.9565604Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.9565728Z 'obj_weakref': None 2022-11-23T01:37:54.9565950Z 'guarded_class': 2022-11-23T01:37:54.9566000Z } 2022-11-23T01:37:54.9566060Z 2022-11-23T01:37:54.9566129Z - 2022-11-23T01:37:54.9566314Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:37:54.9566378Z { 2022-11-23T01:37:54.9566501Z 'guard_types': None, 2022-11-23T01:37:54.9566608Z 'code': None, 2022-11-23T01:37:54.9566715Z 'obj_weakref': None 2022-11-23T01:37:54.9566837Z 'guarded_class': None 2022-11-23T01:37:54.9566900Z } 2022-11-23T01:37:54.9566961Z 2022-11-23T01:37:54.9567029Z - 2022-11-23T01:37:54.9567198Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:37:54.9567248Z { 2022-11-23T01:37:54.9567367Z 'guard_types': None, 2022-11-23T01:37:54.9567506Z 'code': None, 2022-11-23T01:37:54.9567625Z 'obj_weakref': None 2022-11-23T01:37:54.9567747Z 'guarded_class': None 2022-11-23T01:37:54.9567808Z } 2022-11-23T01:37:54.9567868Z 2022-11-23T01:37:54.9568122Z [2022-11-23 01:33:04,203] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 233 2022-11-23T01:37:54.9568490Z [2022-11-23 01:33:04,205] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/g7/cg7to27trjjhu55dlkqkntb6q5dznx7eohp57zne2hp5rrqocksh.py 2022-11-23T01:37:54.9568757Z [2022-11-23 01:33:04,205] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 233 2022-11-23T01:37:54.9568995Z [2022-11-23 01:33:04,208] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.9569267Z [2022-11-23 01:33:04,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.9569490Z [2022-11-23 01:33:04,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.9569734Z [2022-11-23 01:33:04,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.9570016Z [2022-11-23 01:33:04,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.9570333Z [2022-11-23 01:33:04,208] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.9570668Z [2022-11-23 01:33:04,209] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.9570751Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9570848Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:37:54.9570939Z 4 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9571031Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9571120Z 8 STORE_FAST 1 (x) 2022-11-23T01:37:54.9571125Z 2022-11-23T01:37:54.9571215Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9571311Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:37:54.9571388Z 14 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9571474Z 16 LOAD_FAST 2 (y) 2022-11-23T01:37:54.9571560Z 18 CALL_METHOD 2 2022-11-23T01:37:54.9571645Z 20 STORE_FAST 1 (x) 2022-11-23T01:37:54.9571650Z 2022-11-23T01:37:54.9571735Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9571809Z 24 RETURN_VALUE 2022-11-23T01:37:54.9571869Z 2022-11-23T01:37:54.9571874Z 2022-11-23T01:37:54.9572148Z [2022-11-23 01:33:04,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630 2022-11-23T01:37:54.9572355Z [2022-11-23 01:33:04,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9572610Z [2022-11-23 01:33:04,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:37:54.9572852Z [2022-11-23 01:33:04,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:37:54.9573169Z [2022-11-23 01:33:04,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:37:54.9573413Z [2022-11-23 01:33:04,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9573678Z [2022-11-23 01:33:04,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631 2022-11-23T01:37:54.9573893Z [2022-11-23 01:33:04,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9574146Z [2022-11-23 01:33:04,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:37:54.9574447Z [2022-11-23 01:33:04,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:37:54.9574716Z [2022-11-23 01:33:04,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:37:54.9575033Z [2022-11-23 01:33:04,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9575372Z [2022-11-23 01:33:04,212] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd23725ae40, file "inductor/test_torchinductor.py", line 109> 2022-11-23T01:37:54.9575465Z 109 0 LOAD_FAST 0 (x) 2022-11-23T01:37:54.9575559Z 2 LOAD_METHOD 0 (add_) 2022-11-23T01:37:54.9575649Z 4 LOAD_FAST 1 (y) 2022-11-23T01:37:54.9575737Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9575815Z 8 RETURN_VALUE 2022-11-23T01:37:54.9575864Z 2022-11-23T01:37:54.9575881Z 2022-11-23T01:37:54.9576079Z [2022-11-23 01:33:04,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9576325Z [2022-11-23 01:33:04,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add_ [TensorVariable()] 2022-11-23T01:37:54.9576600Z [2022-11-23 01:33:04,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), add_)] 2022-11-23T01:37:54.9576911Z [2022-11-23 01:33:04,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), add_), TensorVariable()] 2022-11-23T01:37:54.9577160Z [2022-11-23 01:33:04,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9577497Z [2022-11-23 01:33:04,213] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd23725ae40, file "inductor/test_torchinductor.py", line 109> 2022-11-23T01:37:54.9577742Z [2022-11-23 01:33:04,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9578009Z [2022-11-23 01:33:04,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632 2022-11-23T01:37:54.9578223Z [2022-11-23 01:33:04,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9578458Z [2022-11-23 01:33:04,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9579049Z [2022-11-23 01:33:04,214] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.9579320Z [2022-11-23 01:33:04,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9579556Z [2022-11-23 01:33:04,214] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.9579817Z [2022-11-23 01:33:04,215] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.9580070Z [2022-11-23 01:33:04,220] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.9580261Z [2022-11-23 01:33:04,221] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.9580455Z __compiled_fn_241 .1987 opcode, name, target, args, kwargs 2022-11-23T01:37:54.9580548Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.9580623Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.9580744Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:37:54.9580851Z output, output, output, ((model_linear,),), {} 2022-11-23T01:37:54.9580856Z 2022-11-23T01:37:54.9581139Z [2022-11-23 01:33:04,221] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9581232Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.9581366Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9581457Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.9581547Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.9581611Z 8 RETURN_VALUE 2022-11-23T01:37:54.9581616Z 2022-11-23T01:37:54.9581676Z 2022-11-23T01:37:54.9581959Z [2022-11-23 01:33:04,221] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9582067Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_241) 2022-11-23T01:37:54.9582156Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9582244Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9582320Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.9582394Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9582481Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.9582555Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.9582649Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.9582740Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.9582818Z 18 RETURN_VALUE 2022-11-23T01:37:54.9582823Z 2022-11-23T01:37:54.9582884Z 2022-11-23T01:37:54.9583057Z [2022-11-23 01:33:04,222] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.9583133Z - 2022-11-23T01:37:54.9583257Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.9583325Z { 2022-11-23T01:37:54.9583471Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.9583666Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.9583789Z 'obj_weakref': None 2022-11-23T01:37:54.9584019Z 'guarded_class': 2022-11-23T01:37:54.9584071Z } 2022-11-23T01:37:54.9584135Z 2022-11-23T01:37:54.9584211Z - 2022-11-23T01:37:54.9584342Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.9584408Z { 2022-11-23T01:37:54.9584555Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9584652Z 'code': None, 2022-11-23T01:37:54.9584871Z 'obj_weakref': 2022-11-23T01:37:54.9585134Z 'guarded_class': 2022-11-23T01:37:54.9585201Z } 2022-11-23T01:37:54.9585265Z 2022-11-23T01:37:54.9585338Z - 2022-11-23T01:37:54.9585468Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.9585519Z { 2022-11-23T01:37:54.9585668Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9585777Z 'code': None, 2022-11-23T01:37:54.9585994Z 'obj_weakref': 2022-11-23T01:37:54.9586254Z 'guarded_class': 2022-11-23T01:37:54.9586321Z } 2022-11-23T01:37:54.9586386Z 2022-11-23T01:37:54.9586459Z - 2022-11-23T01:37:54.9586569Z local 'model' NN_MODULE 2022-11-23T01:37:54.9586633Z { 2022-11-23T01:37:54.9586801Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.9586981Z 'code': ['___check_obj_id(model, 140538440185360)'], 2022-11-23T01:37:54.9587192Z 'obj_weakref': 2022-11-23T01:37:54.9587412Z 'guarded_class': 2022-11-23T01:37:54.9587478Z } 2022-11-23T01:37:54.9587527Z 2022-11-23T01:37:54.9587599Z - 2022-11-23T01:37:54.9587725Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.9587790Z { 2022-11-23T01:37:54.9587929Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.9588269Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.9588398Z 'obj_weakref': None 2022-11-23T01:37:54.9588609Z 'guarded_class': 2022-11-23T01:37:54.9588674Z } 2022-11-23T01:37:54.9588740Z 2022-11-23T01:37:54.9588813Z - 2022-11-23T01:37:54.9588972Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:37:54.9589035Z { 2022-11-23T01:37:54.9589144Z 'guard_types': None, 2022-11-23T01:37:54.9589252Z 'code': None, 2022-11-23T01:37:54.9589372Z 'obj_weakref': None 2022-11-23T01:37:54.9589498Z 'guarded_class': None 2022-11-23T01:37:54.9589563Z } 2022-11-23T01:37:54.9589627Z 2022-11-23T01:37:54.9589699Z - 2022-11-23T01:37:54.9589855Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:37:54.9589923Z { 2022-11-23T01:37:54.9590045Z 'guard_types': None, 2022-11-23T01:37:54.9590153Z 'code': None, 2022-11-23T01:37:54.9590272Z 'obj_weakref': None 2022-11-23T01:37:54.9590395Z 'guarded_class': None 2022-11-23T01:37:54.9590459Z } 2022-11-23T01:37:54.9590509Z 2022-11-23T01:37:54.9590773Z [2022-11-23 01:33:04,232] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 234 2022-11-23T01:37:54.9590778Z 2022-11-23T01:37:54.9590782Z 2022-11-23T01:37:54.9590875Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.9590945Z import torch 2022-11-23T01:37:54.9591013Z import random 2022-11-23T01:37:54.9591126Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.9591248Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.9591253Z 2022-11-23T01:37:54.9591331Z aten = torch.ops.aten 2022-11-23T01:37:54.9591454Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.9591545Z async_compile = AsyncCompile() 2022-11-23T01:37:54.9591551Z 2022-11-23T01:37:54.9591555Z 2022-11-23T01:37:54.9591641Z async_compile.wait(globals()) 2022-11-23T01:37:54.9591712Z del async_compile 2022-11-23T01:37:54.9591717Z 2022-11-23T01:37:54.9591786Z def call(args): 2022-11-23T01:37:54.9591878Z arg0_1, arg1_1, arg2_1, arg3_1 = args 2022-11-23T01:37:54.9591951Z args.clear() 2022-11-23T01:37:54.9592179Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'add') 2022-11-23T01:37:54.9592234Z del arg0_1 2022-11-23T01:37:54.9592300Z del arg1_1 2022-11-23T01:37:54.9592363Z del arg2_1 2022-11-23T01:37:54.9592427Z del arg3_1 2022-11-23T01:37:54.9592496Z return (buf0, ) 2022-11-23T01:37:54.9592500Z 2022-11-23T01:37:54.9592505Z 2022-11-23T01:37:54.9592578Z if __name__ == "__main__": 2022-11-23T01:37:54.9592690Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.9592802Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.9593007Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9593207Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9593455Z arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9593669Z arg3_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9593797Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1])) 2022-11-23T01:37:54.9593802Z 2022-11-23T01:37:54.9593806Z 2022-11-23T01:37:54.9593899Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.9593968Z import torch 2022-11-23T01:37:54.9594025Z import random 2022-11-23T01:37:54.9594138Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.9594255Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.9594294Z 2022-11-23T01:37:54.9594373Z aten = torch.ops.aten 2022-11-23T01:37:54.9594506Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.9594597Z async_compile = AsyncCompile() 2022-11-23T01:37:54.9594602Z 2022-11-23T01:37:54.9594607Z 2022-11-23T01:37:54.9594694Z async_compile.wait(globals()) 2022-11-23T01:37:54.9594764Z del async_compile 2022-11-23T01:37:54.9594771Z 2022-11-23T01:37:54.9594828Z def call(args): 2022-11-23T01:37:54.9594910Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:54.9594979Z args.clear() 2022-11-23T01:37:54.9595208Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'add') 2022-11-23T01:37:54.9595276Z del arg0_1 2022-11-23T01:37:54.9595344Z del arg1_1 2022-11-23T01:37:54.9595410Z del arg2_1 2022-11-23T01:37:54.9595467Z return (buf0, ) 2022-11-23T01:37:54.9595471Z 2022-11-23T01:37:54.9595486Z 2022-11-23T01:37:54.9595547Z if __name__ == "__main__": 2022-11-23T01:37:54.9595660Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.9595780Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.9595982Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9596190Z arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9596398Z arg2_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9596519Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:54.9596523Z 2022-11-23T01:37:54.9596527Z 2022-11-23T01:37:54.9596619Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.9596675Z import torch 2022-11-23T01:37:54.9596742Z import random 2022-11-23T01:37:54.9596854Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.9596971Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.9596976Z 2022-11-23T01:37:54.9597052Z aten = torch.ops.aten 2022-11-23T01:37:54.9597190Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.9597279Z async_compile = AsyncCompile() 2022-11-23T01:37:54.9597284Z 2022-11-23T01:37:54.9597288Z 2022-11-23T01:37:54.9597361Z async_compile.wait(globals()) 2022-11-23T01:37:54.9597432Z del async_compile 2022-11-23T01:37:54.9597437Z 2022-11-23T01:37:54.9597505Z def call(args): 2022-11-23T01:37:54.9597594Z arg0_1, arg1_1, arg2_1, arg3_1 = args 2022-11-23T01:37:54.9597664Z args.clear() 2022-11-23T01:37:54.9597892Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'add') 2022-11-23T01:37:54.9597958Z del arg0_1 2022-11-23T01:37:54.9598011Z del arg1_1 2022-11-23T01:37:54.9598075Z del arg2_1 2022-11-23T01:37:54.9598139Z del arg3_1 2022-11-23T01:37:54.9598210Z return (buf0, ) 2022-11-23T01:37:54.9598215Z 2022-11-23T01:37:54.9598219Z 2022-11-23T01:37:54.9598291Z if __name__ == "__main__": 2022-11-23T01:37:54.9598404Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.9598526Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.9598730Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9598916Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9599147Z arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9599349Z arg3_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9599475Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1])) 2022-11-23T01:37:54.9599481Z 2022-11-23T01:37:54.9599485Z 2022-11-23T01:37:54.9599576Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.9599644Z import torch 2022-11-23T01:37:54.9599713Z import random 2022-11-23T01:37:54.9599825Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.9599930Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.9599967Z 2022-11-23T01:37:54.9600046Z aten = torch.ops.aten 2022-11-23T01:37:54.9600179Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.9600268Z async_compile = AsyncCompile() 2022-11-23T01:37:54.9600273Z 2022-11-23T01:37:54.9600277Z 2022-11-23T01:37:54.9600364Z async_compile.wait(globals()) 2022-11-23T01:37:54.9600436Z del async_compile 2022-11-23T01:37:54.9600443Z 2022-11-23T01:37:54.9600512Z def call(args): 2022-11-23T01:37:54.9600592Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:54.9600649Z args.clear() 2022-11-23T01:37:54.9600877Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'add') 2022-11-23T01:37:54.9600947Z del arg0_1 2022-11-23T01:37:54.9601013Z del arg1_1 2022-11-23T01:37:54.9601077Z del arg2_1 2022-11-23T01:37:54.9601150Z return (buf0, ) 2022-11-23T01:37:54.9601155Z 2022-11-23T01:37:54.9601159Z 2022-11-23T01:37:54.9601234Z if __name__ == "__main__": 2022-11-23T01:37:54.9601336Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.9601459Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.9601664Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9601867Z arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9602070Z arg2_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9602191Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:54.9602196Z 2022-11-23T01:37:54.9602200Z 2022-11-23T01:37:54.9602291Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.9602360Z import torch 2022-11-23T01:37:54.9602417Z import random 2022-11-23T01:37:54.9602529Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.9602645Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.9602650Z 2022-11-23T01:37:54.9602725Z aten = torch.ops.aten 2022-11-23T01:37:54.9602857Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.9602944Z async_compile = AsyncCompile() 2022-11-23T01:37:54.9602949Z 2022-11-23T01:37:54.9602952Z 2022-11-23T01:37:54.9603038Z async_compile.wait(globals()) 2022-11-23T01:37:54.9603108Z del async_compile 2022-11-23T01:37:54.9603113Z 2022-11-23T01:37:54.9603169Z def call(args): 2022-11-23T01:37:54.9603257Z arg0_1, arg1_1, arg2_1, arg3_1 = args 2022-11-23T01:37:54.9603327Z args.clear() 2022-11-23T01:37:54.9603556Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'add') 2022-11-23T01:37:54.9603623Z del arg0_1 2022-11-23T01:37:54.9603688Z del arg1_1 2022-11-23T01:37:54.9603753Z del arg2_1 2022-11-23T01:37:54.9603805Z del arg3_1 2022-11-23T01:37:54.9603874Z return (buf0, ) 2022-11-23T01:37:54.9603878Z 2022-11-23T01:37:54.9603882Z 2022-11-23T01:37:54.9603956Z if __name__ == "__main__": 2022-11-23T01:37:54.9604067Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.9604190Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.9604393Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9604591Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9604833Z arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9605031Z arg3_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9605160Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1])) 2022-11-23T01:37:54.9605165Z 2022-11-23T01:37:54.9605169Z 2022-11-23T01:37:54.9605263Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.9605333Z import torch 2022-11-23T01:37:54.9605401Z import random 2022-11-23T01:37:54.9605513Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.9605633Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.9605668Z 2022-11-23T01:37:54.9605747Z aten = torch.ops.aten 2022-11-23T01:37:54.9605866Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.9605954Z async_compile = AsyncCompile() 2022-11-23T01:37:54.9605959Z 2022-11-23T01:37:54.9605964Z 2022-11-23T01:37:54.9606049Z async_compile.wait(globals()) 2022-11-23T01:37:54.9606118Z del async_compile 2022-11-23T01:37:54.9606125Z 2022-11-23T01:37:54.9606194Z def call(args): 2022-11-23T01:37:54.9606273Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:54.9606343Z args.clear() 2022-11-23T01:37:54.9606568Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'add') 2022-11-23T01:37:54.9606624Z del arg0_1 2022-11-23T01:37:54.9606690Z del arg1_1 2022-11-23T01:37:54.9606754Z del arg2_1 2022-11-23T01:37:54.9606825Z return (buf0, ) 2022-11-23T01:37:54.9606830Z 2022-11-23T01:37:54.9606834Z 2022-11-23T01:37:54.9606907Z if __name__ == "__main__": 2022-11-23T01:37:54.9607018Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.9607141Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.9607331Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9607540Z arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9607748Z arg2_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9607871Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:54.9607877Z 2022-11-23T01:37:54.9607880Z 2022-11-23T01:37:54.9607972Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.9608040Z import torch 2022-11-23T01:37:54.9608110Z import random 2022-11-23T01:37:54.9608221Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.9608327Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.9608343Z 2022-11-23T01:37:54.9608407Z aten = torch.ops.aten 2022-11-23T01:37:54.9608539Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.9608629Z async_compile = AsyncCompile() 2022-11-23T01:37:54.9608634Z 2022-11-23T01:37:54.9608638Z 2022-11-23T01:37:54.9608728Z async_compile.wait(globals()) 2022-11-23T01:37:54.9608798Z del async_compile 2022-11-23T01:37:54.9608803Z 2022-11-23T01:37:54.9608871Z def call(args): 2022-11-23T01:37:54.9608962Z arg0_1, arg1_1, arg2_1, arg3_1 = args 2022-11-23T01:37:54.9609020Z args.clear() 2022-11-23T01:37:54.9609249Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'add') 2022-11-23T01:37:54.9609318Z del arg0_1 2022-11-23T01:37:54.9609385Z del arg1_1 2022-11-23T01:37:54.9609448Z del arg2_1 2022-11-23T01:37:54.9609511Z del arg3_1 2022-11-23T01:37:54.9609579Z return (buf0, ) 2022-11-23T01:37:54.9609584Z 2022-11-23T01:37:54.9609588Z 2022-11-23T01:37:54.9609662Z if __name__ == "__main__": 2022-11-23T01:37:54.9609762Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.9609886Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.9610090Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9610288Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9610517Z arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9610721Z arg3_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9610849Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1])) 2022-11-23T01:37:54.9610854Z 2022-11-23T01:37:54.9610858Z 2022-11-23T01:37:54.9610949Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.9611007Z import torch 2022-11-23T01:37:54.9611074Z import random 2022-11-23T01:37:54.9611186Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.9611307Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.9611341Z 2022-11-23T01:37:54.9611419Z aten = torch.ops.aten 2022-11-23T01:37:54.9611548Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.9611639Z async_compile = AsyncCompile() 2022-11-23T01:37:54.9611644Z 2022-11-23T01:37:54.9611648Z 2022-11-23T01:37:54.9611732Z async_compile.wait(globals()) 2022-11-23T01:37:54.9611791Z del async_compile 2022-11-23T01:37:54.9611798Z 2022-11-23T01:37:54.9611867Z def call(args): 2022-11-23T01:37:54.9611947Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:54.9612015Z args.clear() 2022-11-23T01:37:54.9612242Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'add') 2022-11-23T01:37:54.9612309Z del arg0_1 2022-11-23T01:37:54.9612374Z del arg1_1 2022-11-23T01:37:54.9612428Z del arg2_1 2022-11-23T01:37:54.9612498Z return (buf0, ) 2022-11-23T01:37:54.9612503Z 2022-11-23T01:37:54.9612508Z 2022-11-23T01:37:54.9612582Z if __name__ == "__main__": 2022-11-23T01:37:54.9612691Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.9612813Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.9613016Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9613219Z arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9613409Z arg2_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9613531Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:54.9613906Z [2022-11-23 01:33:04,234] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6j/c6jpbqlpntl5z65iza4pnyoty5gi5rnxnoamuwfiu2ymwxediekh.py 2022-11-23T01:37:54.9614172Z [2022-11-23 01:33:04,234] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 234 2022-11-23T01:37:54.9614414Z [2022-11-23 01:33:04,237] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.9614687Z [2022-11-23 01:33:04,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.9614908Z [2022-11-23 01:33:04,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.9615152Z [2022-11-23 01:33:04,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.9615435Z [2022-11-23 01:33:04,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.9615751Z [2022-11-23 01:33:04,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.9616072Z [2022-11-23 01:33:04,238] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.9616166Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9616263Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:37:54.9616351Z 4 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9616439Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9616530Z 8 STORE_FAST 1 (x) 2022-11-23T01:37:54.9616535Z 2022-11-23T01:37:54.9616624Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9616756Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:37:54.9616834Z 14 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9616920Z 16 LOAD_FAST 2 (y) 2022-11-23T01:37:54.9617009Z 18 CALL_METHOD 2 2022-11-23T01:37:54.9617095Z 20 STORE_FAST 1 (x) 2022-11-23T01:37:54.9617100Z 2022-11-23T01:37:54.9617186Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9617263Z 24 RETURN_VALUE 2022-11-23T01:37:54.9617324Z 2022-11-23T01:37:54.9617329Z 2022-11-23T01:37:54.9617647Z [2022-11-23 01:33:04,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630 2022-11-23T01:37:54.9617852Z [2022-11-23 01:33:04,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9618106Z [2022-11-23 01:33:04,238] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:37:54.9618357Z [2022-11-23 01:33:04,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:37:54.9618639Z [2022-11-23 01:33:04,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:37:54.9619092Z [2022-11-23 01:33:04,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9619374Z [2022-11-23 01:33:04,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631 2022-11-23T01:37:54.9619590Z [2022-11-23 01:33:04,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9619850Z [2022-11-23 01:33:04,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:37:54.9620105Z [2022-11-23 01:33:04,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:37:54.9620377Z [2022-11-23 01:33:04,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:37:54.9620694Z [2022-11-23 01:33:04,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9621030Z [2022-11-23 01:33:04,247] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd2372644b0, file "inductor/test_torchinductor.py", line 110> 2022-11-23T01:37:54.9621128Z 110 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.9621222Z 2 LOAD_METHOD 1 (sub) 2022-11-23T01:37:54.9621317Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:54.9621408Z 6 LOAD_FAST 1 (y) 2022-11-23T01:37:54.9621502Z 8 CALL_METHOD 2 2022-11-23T01:37:54.9621565Z 10 RETURN_VALUE 2022-11-23T01:37:54.9621627Z 2022-11-23T01:37:54.9621633Z 2022-11-23T01:37:54.9621856Z [2022-11-23 01:33:04,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.9622225Z [2022-11-23 01:33:04,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TorchVariable()] 2022-11-23T01:37:54.9622549Z [2022-11-23 01:33:04,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:37:54.9622897Z [2022-11-23 01:33:04,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.9623281Z [2022-11-23 01:33:04,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9623533Z [2022-11-23 01:33:04,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9623937Z [2022-11-23 01:33:04,249] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd2372644b0, file "inductor/test_torchinductor.py", line 110> 2022-11-23T01:37:54.9624184Z [2022-11-23 01:33:04,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9624441Z [2022-11-23 01:33:04,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632 2022-11-23T01:37:54.9624657Z [2022-11-23 01:33:04,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9624951Z [2022-11-23 01:33:04,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9625293Z [2022-11-23 01:33:04,249] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.9625544Z [2022-11-23 01:33:04,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9625785Z [2022-11-23 01:33:04,249] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.9626045Z [2022-11-23 01:33:04,250] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.9626299Z [2022-11-23 01:33:04,262] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.9626493Z [2022-11-23 01:33:04,262] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.9626616Z __compiled_fn_242 .1998 opcode, name, target, args, kwargs 2022-11-23T01:37:54.9626713Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.9626799Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.9626923Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:37:54.9627030Z output, output, output, ((model_linear,),), {} 2022-11-23T01:37:54.9627035Z 2022-11-23T01:37:54.9627319Z [2022-11-23 01:33:04,262] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9627416Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.9627508Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9627588Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.9627680Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.9627756Z 8 RETURN_VALUE 2022-11-23T01:37:54.9627761Z 2022-11-23T01:37:54.9627824Z 2022-11-23T01:37:54.9628172Z [2022-11-23 01:33:04,262] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9628294Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_242) 2022-11-23T01:37:54.9628383Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9628473Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9628538Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.9628628Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9628714Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.9628788Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.9628877Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.9628966Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.9629041Z 18 RETURN_VALUE 2022-11-23T01:37:54.9629046Z 2022-11-23T01:37:54.9629093Z 2022-11-23T01:37:54.9629280Z [2022-11-23 01:33:04,263] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.9629353Z - 2022-11-23T01:37:54.9629478Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.9629544Z { 2022-11-23T01:37:54.9629688Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.9629878Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.9629988Z 'obj_weakref': None 2022-11-23T01:37:54.9630249Z 'guarded_class': 2022-11-23T01:37:54.9630316Z } 2022-11-23T01:37:54.9630379Z 2022-11-23T01:37:54.9630451Z - 2022-11-23T01:37:54.9630578Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.9630639Z { 2022-11-23T01:37:54.9630772Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9630879Z 'code': None, 2022-11-23T01:37:54.9631094Z 'obj_weakref': 2022-11-23T01:37:54.9631353Z 'guarded_class': 2022-11-23T01:37:54.9631448Z } 2022-11-23T01:37:54.9631513Z 2022-11-23T01:37:54.9631584Z - 2022-11-23T01:37:54.9631698Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.9631761Z { 2022-11-23T01:37:54.9631906Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9632017Z 'code': None, 2022-11-23T01:37:54.9632229Z 'obj_weakref': 2022-11-23T01:37:54.9632486Z 'guarded_class': 2022-11-23T01:37:54.9632549Z } 2022-11-23T01:37:54.9632600Z 2022-11-23T01:37:54.9632669Z - 2022-11-23T01:37:54.9632788Z local 'model' NN_MODULE 2022-11-23T01:37:54.9632851Z { 2022-11-23T01:37:54.9632985Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.9633160Z 'code': ['___check_obj_id(model, 140538740479568)'], 2022-11-23T01:37:54.9633369Z 'obj_weakref': 2022-11-23T01:37:54.9633574Z 'guarded_class': 2022-11-23T01:37:54.9633637Z } 2022-11-23T01:37:54.9633699Z 2022-11-23T01:37:54.9633770Z - 2022-11-23T01:37:54.9633895Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.9633957Z { 2022-11-23T01:37:54.9634094Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.9634303Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.9634423Z 'obj_weakref': None 2022-11-23T01:37:54.9634644Z 'guarded_class': 2022-11-23T01:37:54.9634707Z } 2022-11-23T01:37:54.9634768Z 2022-11-23T01:37:54.9634841Z - 2022-11-23T01:37:54.9634975Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.9635025Z { 2022-11-23T01:37:54.9635145Z 'guard_types': None, 2022-11-23T01:37:54.9635252Z 'code': None, 2022-11-23T01:37:54.9635370Z 'obj_weakref': None 2022-11-23T01:37:54.9635492Z 'guarded_class': None 2022-11-23T01:37:54.9635557Z } 2022-11-23T01:37:54.9635617Z 2022-11-23T01:37:54.9635674Z - 2022-11-23T01:37:54.9635829Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:37:54.9635891Z { 2022-11-23T01:37:54.9636012Z 'guard_types': None, 2022-11-23T01:37:54.9636119Z 'code': None, 2022-11-23T01:37:54.9636238Z 'obj_weakref': None 2022-11-23T01:37:54.9636346Z 'guarded_class': None 2022-11-23T01:37:54.9636407Z } 2022-11-23T01:37:54.9636470Z 2022-11-23T01:37:54.9636538Z - 2022-11-23T01:37:54.9636716Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:37:54.9636778Z { 2022-11-23T01:37:54.9636897Z 'guard_types': None, 2022-11-23T01:37:54.9636992Z 'code': None, 2022-11-23T01:37:54.9637110Z 'obj_weakref': None 2022-11-23T01:37:54.9637231Z 'guarded_class': None 2022-11-23T01:37:54.9637323Z } 2022-11-23T01:37:54.9637386Z 2022-11-23T01:37:54.9637651Z [2022-11-23 01:33:04,274] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 235 2022-11-23T01:37:54.9638024Z [2022-11-23 01:33:04,277] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/f3/cf3eqd3msmj3bq564ngjpk4olpvvhlwz2njv4qdvwlnfjplm42qw.py 2022-11-23T01:37:54.9638292Z [2022-11-23 01:33:04,277] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 235 2022-11-23T01:37:54.9638519Z [2022-11-23 01:33:04,281] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.9638823Z [2022-11-23 01:33:04,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.9639043Z [2022-11-23 01:33:04,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.9639290Z [2022-11-23 01:33:04,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.9639568Z [2022-11-23 01:33:04,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.9639884Z [2022-11-23 01:33:04,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.9640220Z [2022-11-23 01:33:04,281] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.9640314Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9640410Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:37:54.9640488Z 4 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9640576Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9640665Z 8 STORE_FAST 1 (x) 2022-11-23T01:37:54.9640671Z 2022-11-23T01:37:54.9640763Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9640858Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:37:54.9640946Z 14 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9641033Z 16 LOAD_FAST 2 (y) 2022-11-23T01:37:54.9641108Z 18 CALL_METHOD 2 2022-11-23T01:37:54.9641194Z 20 STORE_FAST 1 (x) 2022-11-23T01:37:54.9641199Z 2022-11-23T01:37:54.9641283Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9641358Z 24 RETURN_VALUE 2022-11-23T01:37:54.9641420Z 2022-11-23T01:37:54.9641425Z 2022-11-23T01:37:54.9641698Z [2022-11-23 01:33:04,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630 2022-11-23T01:37:54.9641911Z [2022-11-23 01:33:04,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9642165Z [2022-11-23 01:33:04,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:37:54.9642409Z [2022-11-23 01:33:04,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:37:54.9642675Z [2022-11-23 01:33:04,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:37:54.9642913Z [2022-11-23 01:33:04,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9643180Z [2022-11-23 01:33:04,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631 2022-11-23T01:37:54.9643396Z [2022-11-23 01:33:04,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9643651Z [2022-11-23 01:33:04,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:37:54.9643907Z [2022-11-23 01:33:04,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:37:54.9644230Z [2022-11-23 01:33:04,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:37:54.9644551Z [2022-11-23 01:33:04,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9644884Z [2022-11-23 01:33:04,286] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd2372644b0, file "inductor/test_torchinductor.py", line 110> 2022-11-23T01:37:54.9644967Z 110 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.9645089Z 2 LOAD_METHOD 1 (sub) 2022-11-23T01:37:54.9645183Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:54.9645271Z 6 LOAD_FAST 1 (y) 2022-11-23T01:37:54.9645356Z 8 CALL_METHOD 2 2022-11-23T01:37:54.9645432Z 10 RETURN_VALUE 2022-11-23T01:37:54.9645492Z 2022-11-23T01:37:54.9645497Z 2022-11-23T01:37:54.9645720Z [2022-11-23 01:33:04,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.9646071Z [2022-11-23 01:33:04,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TorchVariable()] 2022-11-23T01:37:54.9646390Z [2022-11-23 01:33:04,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:37:54.9646734Z [2022-11-23 01:33:04,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.9647119Z [2022-11-23 01:33:04,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9647371Z [2022-11-23 01:33:04,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9647710Z [2022-11-23 01:33:04,288] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd2372644b0, file "inductor/test_torchinductor.py", line 110> 2022-11-23T01:37:54.9647951Z [2022-11-23 01:33:04,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9648221Z [2022-11-23 01:33:04,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632 2022-11-23T01:37:54.9648433Z [2022-11-23 01:33:04,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9648686Z [2022-11-23 01:33:04,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9649014Z [2022-11-23 01:33:04,288] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.9649264Z [2022-11-23 01:33:04,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9649499Z [2022-11-23 01:33:04,288] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.9649754Z [2022-11-23 01:33:04,289] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.9650004Z [2022-11-23 01:33:04,296] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.9650195Z [2022-11-23 01:33:04,296] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.9650331Z __compiled_fn_243 .2009 opcode, name, target, args, kwargs 2022-11-23T01:37:54.9650420Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.9650505Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.9650614Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:37:54.9650720Z output, output, output, ((model_linear,),), {} 2022-11-23T01:37:54.9650760Z 2022-11-23T01:37:54.9651040Z [2022-11-23 01:33:04,296] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9651133Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.9651223Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9651315Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.9651407Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.9651482Z 8 RETURN_VALUE 2022-11-23T01:37:54.9651487Z 2022-11-23T01:37:54.9651536Z 2022-11-23T01:37:54.9651843Z [2022-11-23 01:33:04,296] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9651951Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_243) 2022-11-23T01:37:54.9652039Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9652125Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9652202Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.9652291Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9652366Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.9652439Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.9652526Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.9652616Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.9652689Z 18 RETURN_VALUE 2022-11-23T01:37:54.9652694Z 2022-11-23T01:37:54.9652752Z 2022-11-23T01:37:54.9652936Z [2022-11-23 01:33:04,297] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.9652998Z - 2022-11-23T01:37:54.9653118Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.9653181Z { 2022-11-23T01:37:54.9653323Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.9653512Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.9653634Z 'obj_weakref': None 2022-11-23T01:37:54.9653862Z 'guarded_class': 2022-11-23T01:37:54.9653927Z } 2022-11-23T01:37:54.9653978Z 2022-11-23T01:37:54.9654049Z - 2022-11-23T01:37:54.9654175Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.9654239Z { 2022-11-23T01:37:54.9654385Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9654494Z 'code': None, 2022-11-23T01:37:54.9654698Z 'obj_weakref': 2022-11-23T01:37:54.9654956Z 'guarded_class': 2022-11-23T01:37:54.9655020Z } 2022-11-23T01:37:54.9655086Z 2022-11-23T01:37:54.9655157Z - 2022-11-23T01:37:54.9655280Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.9655341Z { 2022-11-23T01:37:54.9655474Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9655582Z 'code': None, 2022-11-23T01:37:54.9655793Z 'obj_weakref': 2022-11-23T01:37:54.9656049Z 'guarded_class': 2022-11-23T01:37:54.9656112Z } 2022-11-23T01:37:54.9656172Z 2022-11-23T01:37:54.9656242Z - 2022-11-23T01:37:54.9656351Z local 'model' NN_MODULE 2022-11-23T01:37:54.9656413Z { 2022-11-23T01:37:54.9656546Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.9656720Z 'code': ['___check_obj_id(model, 140538747353296)'], 2022-11-23T01:37:54.9656927Z 'obj_weakref': 2022-11-23T01:37:54.9657144Z 'guarded_class': 2022-11-23T01:37:54.9657207Z } 2022-11-23T01:37:54.9657298Z 2022-11-23T01:37:54.9657358Z - 2022-11-23T01:37:54.9657480Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.9657542Z { 2022-11-23T01:37:54.9657681Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.9657901Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.9658020Z 'obj_weakref': None 2022-11-23T01:37:54.9658242Z 'guarded_class': 2022-11-23T01:37:54.9658293Z } 2022-11-23T01:37:54.9658430Z 2022-11-23T01:37:54.9658502Z - 2022-11-23T01:37:54.9658639Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.9658701Z { 2022-11-23T01:37:54.9659019Z 'guard_types': None, 2022-11-23T01:37:54.9659130Z 'code': None, 2022-11-23T01:37:54.9659251Z 'obj_weakref': None 2022-11-23T01:37:54.9659377Z 'guarded_class': None 2022-11-23T01:37:54.9659439Z } 2022-11-23T01:37:54.9659503Z 2022-11-23T01:37:54.9659572Z - 2022-11-23T01:37:54.9659730Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:37:54.9659780Z { 2022-11-23T01:37:54.9659900Z 'guard_types': None, 2022-11-23T01:37:54.9660008Z 'code': None, 2022-11-23T01:37:54.9660128Z 'obj_weakref': None 2022-11-23T01:37:54.9660251Z 'guarded_class': None 2022-11-23T01:37:54.9660313Z } 2022-11-23T01:37:54.9660375Z 2022-11-23T01:37:54.9660434Z - 2022-11-23T01:37:54.9660604Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:37:54.9660668Z { 2022-11-23T01:37:54.9660787Z 'guard_types': None, 2022-11-23T01:37:54.9660896Z 'code': None, 2022-11-23T01:37:54.9661014Z 'obj_weakref': None 2022-11-23T01:37:54.9661139Z 'guarded_class': None 2022-11-23T01:37:54.9661190Z } 2022-11-23T01:37:54.9661252Z 2022-11-23T01:37:54.9661521Z [2022-11-23 01:33:04,307] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 236 2022-11-23T01:37:54.9661897Z [2022-11-23 01:33:04,309] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rb/crbcjemi2wc6kam6umwpfe764xupet7copjox5doiiy3rkgjpemq.py 2022-11-23T01:37:54.9662167Z [2022-11-23 01:33:04,310] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 236 2022-11-23T01:37:54.9662410Z [2022-11-23 01:33:04,313] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.9662688Z [2022-11-23 01:33:04,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.9662910Z [2022-11-23 01:33:04,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.9663145Z [2022-11-23 01:33:04,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.9663426Z [2022-11-23 01:33:04,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.9663745Z [2022-11-23 01:33:04,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.9664083Z [2022-11-23 01:33:04,314] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.9664181Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9664280Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:37:54.9664371Z 4 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9664463Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9664542Z 8 STORE_FAST 1 (x) 2022-11-23T01:37:54.9664623Z 2022-11-23T01:37:54.9664704Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9664799Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:37:54.9664888Z 14 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9664977Z 16 LOAD_FAST 2 (y) 2022-11-23T01:37:54.9665068Z 18 CALL_METHOD 2 2022-11-23T01:37:54.9665158Z 20 STORE_FAST 1 (x) 2022-11-23T01:37:54.9665162Z 2022-11-23T01:37:54.9665250Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9665365Z 24 RETURN_VALUE 2022-11-23T01:37:54.9665428Z 2022-11-23T01:37:54.9665432Z 2022-11-23T01:37:54.9665709Z [2022-11-23 01:33:04,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630 2022-11-23T01:37:54.9665926Z [2022-11-23 01:33:04,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9666184Z [2022-11-23 01:33:04,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:37:54.9666432Z [2022-11-23 01:33:04,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:37:54.9666715Z [2022-11-23 01:33:04,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:37:54.9666957Z [2022-11-23 01:33:04,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9667226Z [2022-11-23 01:33:04,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631 2022-11-23T01:37:54.9667432Z [2022-11-23 01:33:04,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9667686Z [2022-11-23 01:33:04,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:37:54.9667944Z [2022-11-23 01:33:04,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:37:54.9668293Z [2022-11-23 01:33:04,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:37:54.9668616Z [2022-11-23 01:33:04,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9668953Z [2022-11-23 01:33:04,322] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd2372644b0, file "inductor/test_torchinductor.py", line 110> 2022-11-23T01:37:54.9669052Z 110 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.9669149Z 2 LOAD_METHOD 1 (sub) 2022-11-23T01:37:54.9669242Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:54.9669319Z 6 LOAD_FAST 1 (y) 2022-11-23T01:37:54.9669408Z 8 CALL_METHOD 2 2022-11-23T01:37:54.9669485Z 10 RETURN_VALUE 2022-11-23T01:37:54.9669552Z 2022-11-23T01:37:54.9669558Z 2022-11-23T01:37:54.9669779Z [2022-11-23 01:33:04,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.9670147Z [2022-11-23 01:33:04,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TorchVariable()] 2022-11-23T01:37:54.9670470Z [2022-11-23 01:33:04,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:37:54.9670818Z [2022-11-23 01:33:04,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.9671205Z [2022-11-23 01:33:04,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9671482Z [2022-11-23 01:33:04,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9671828Z [2022-11-23 01:33:04,324] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd2372644b0, file "inductor/test_torchinductor.py", line 110> 2022-11-23T01:37:54.9672072Z [2022-11-23 01:33:04,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9672342Z [2022-11-23 01:33:04,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632 2022-11-23T01:37:54.9672556Z [2022-11-23 01:33:04,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9672840Z [2022-11-23 01:33:04,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9673184Z [2022-11-23 01:33:04,324] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.9673433Z [2022-11-23 01:33:04,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9673673Z [2022-11-23 01:33:04,324] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.9673928Z [2022-11-23 01:33:04,325] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.9674166Z [2022-11-23 01:33:04,336] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.9674358Z [2022-11-23 01:33:04,336] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.9674497Z __compiled_fn_244 .2020 opcode, name, target, args, kwargs 2022-11-23T01:37:54.9674585Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.9674673Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.9674793Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:37:54.9674903Z output, output, output, ((model_linear,),), {} 2022-11-23T01:37:54.9674909Z 2022-11-23T01:37:54.9675187Z [2022-11-23 01:33:04,336] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9675269Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.9675358Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9675449Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.9675538Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.9675615Z 8 RETURN_VALUE 2022-11-23T01:37:54.9675623Z 2022-11-23T01:37:54.9675682Z 2022-11-23T01:37:54.9675958Z [2022-11-23 01:33:04,337] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9676066Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_244) 2022-11-23T01:37:54.9676142Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9676232Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9676310Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.9676396Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9676481Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.9676555Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.9676639Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.9676716Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.9676789Z 18 RETURN_VALUE 2022-11-23T01:37:54.9676794Z 2022-11-23T01:37:54.9676853Z 2022-11-23T01:37:54.9677035Z [2022-11-23 01:33:04,337] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.9677109Z - 2022-11-23T01:37:54.9677230Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.9677294Z { 2022-11-23T01:37:54.9677424Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.9677612Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.9677765Z 'obj_weakref': None 2022-11-23T01:37:54.9677995Z 'guarded_class': 2022-11-23T01:37:54.9678057Z } 2022-11-23T01:37:54.9678118Z 2022-11-23T01:37:54.9678186Z - 2022-11-23T01:37:54.9678300Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.9678362Z { 2022-11-23T01:37:54.9678505Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9678613Z 'code': None, 2022-11-23T01:37:54.9678828Z 'obj_weakref': 2022-11-23T01:37:54.9679117Z 'guarded_class': 2022-11-23T01:37:54.9679181Z } 2022-11-23T01:37:54.9679230Z 2022-11-23T01:37:54.9679299Z - 2022-11-23T01:37:54.9679424Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.9679486Z { 2022-11-23T01:37:54.9679632Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9679740Z 'code': None, 2022-11-23T01:37:54.9679953Z 'obj_weakref': 2022-11-23T01:37:54.9680195Z 'guarded_class': 2022-11-23T01:37:54.9680258Z } 2022-11-23T01:37:54.9680319Z 2022-11-23T01:37:54.9680390Z - 2022-11-23T01:37:54.9680511Z local 'model' NN_MODULE 2022-11-23T01:37:54.9680574Z { 2022-11-23T01:37:54.9680714Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.9680875Z 'code': ['___check_obj_id(model, 140538440137936)'], 2022-11-23T01:37:54.9681082Z 'obj_weakref': 2022-11-23T01:37:54.9681299Z 'guarded_class': 2022-11-23T01:37:54.9681363Z } 2022-11-23T01:37:54.9681423Z 2022-11-23T01:37:54.9681492Z - 2022-11-23T01:37:54.9681615Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.9681665Z { 2022-11-23T01:37:54.9681803Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.9682020Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.9682141Z 'obj_weakref': None 2022-11-23T01:37:54.9682365Z 'guarded_class': 2022-11-23T01:37:54.9682429Z } 2022-11-23T01:37:54.9682490Z 2022-11-23T01:37:54.9682547Z - 2022-11-23T01:37:54.9682680Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.9682742Z { 2022-11-23T01:37:54.9682863Z 'guard_types': None, 2022-11-23T01:37:54.9682970Z 'code': None, 2022-11-23T01:37:54.9683093Z 'obj_weakref': None 2022-11-23T01:37:54.9683215Z 'guarded_class': None 2022-11-23T01:37:54.9683265Z } 2022-11-23T01:37:54.9683324Z 2022-11-23T01:37:54.9683392Z - 2022-11-23T01:37:54.9683549Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:37:54.9683612Z { 2022-11-23T01:37:54.9683732Z 'guard_types': None, 2022-11-23T01:37:54.9683827Z 'code': None, 2022-11-23T01:37:54.9683947Z 'obj_weakref': None 2022-11-23T01:37:54.9684068Z 'guarded_class': None 2022-11-23T01:37:54.9684133Z } 2022-11-23T01:37:54.9684193Z 2022-11-23T01:37:54.9684263Z - 2022-11-23T01:37:54.9684433Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:37:54.9684483Z { 2022-11-23T01:37:54.9684602Z 'guard_types': None, 2022-11-23T01:37:54.9684709Z 'code': None, 2022-11-23T01:37:54.9684868Z 'obj_weakref': None 2022-11-23T01:37:54.9684993Z 'guarded_class': None 2022-11-23T01:37:54.9685053Z } 2022-11-23T01:37:54.9685114Z 2022-11-23T01:37:54.9685365Z [2022-11-23 01:33:04,348] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 237 2022-11-23T01:37:54.9685732Z [2022-11-23 01:33:04,351] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ym/cymgcgjn7c53piksz5xz4fqi66c7lml2y47buak4byhycrahntlt.py 2022-11-23T01:37:54.9685998Z [2022-11-23 01:33:04,351] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 237 2022-11-23T01:37:54.9686272Z [2022-11-23 01:33:04,354] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.9686544Z [2022-11-23 01:33:04,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.9686765Z [2022-11-23 01:33:04,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.9687009Z [2022-11-23 01:33:04,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.9687290Z [2022-11-23 01:33:04,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.9687608Z [2022-11-23 01:33:04,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.9687940Z [2022-11-23 01:33:04,355] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.9688024Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9688118Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:37:54.9688206Z 4 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9688293Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9688386Z 8 STORE_FAST 1 (x) 2022-11-23T01:37:54.9688391Z 2022-11-23T01:37:54.9688480Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9688575Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:37:54.9688649Z 14 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9688735Z 16 LOAD_FAST 2 (y) 2022-11-23T01:37:54.9688821Z 18 CALL_METHOD 2 2022-11-23T01:37:54.9688907Z 20 STORE_FAST 1 (x) 2022-11-23T01:37:54.9688912Z 2022-11-23T01:37:54.9688997Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9689075Z 24 RETURN_VALUE 2022-11-23T01:37:54.9689134Z 2022-11-23T01:37:54.9689139Z 2022-11-23T01:37:54.9689414Z [2022-11-23 01:33:04,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630 2022-11-23T01:37:54.9689619Z [2022-11-23 01:33:04,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9689871Z [2022-11-23 01:33:04,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:37:54.9690113Z [2022-11-23 01:33:04,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:37:54.9690390Z [2022-11-23 01:33:04,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:37:54.9690632Z [2022-11-23 01:33:04,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9690901Z [2022-11-23 01:33:04,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631 2022-11-23T01:37:54.9691118Z [2022-11-23 01:33:04,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9691373Z [2022-11-23 01:33:04,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:37:54.9691657Z [2022-11-23 01:33:04,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:37:54.9691928Z [2022-11-23 01:33:04,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:37:54.9692245Z [2022-11-23 01:33:04,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9692579Z [2022-11-23 01:33:04,358] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd2372644b0, file "inductor/test_torchinductor.py", line 110> 2022-11-23T01:37:54.9692708Z 110 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:54.9692801Z 2 LOAD_METHOD 1 (sub) 2022-11-23T01:37:54.9692891Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:54.9692979Z 6 LOAD_FAST 1 (y) 2022-11-23T01:37:54.9693067Z 8 CALL_METHOD 2 2022-11-23T01:37:54.9693134Z 10 RETURN_VALUE 2022-11-23T01:37:54.9693193Z 2022-11-23T01:37:54.9693198Z 2022-11-23T01:37:54.9693418Z [2022-11-23 01:33:04,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:54.9693786Z [2022-11-23 01:33:04,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TorchVariable()] 2022-11-23T01:37:54.9694107Z [2022-11-23 01:33:04,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:37:54.9694453Z [2022-11-23 01:33:04,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(), TensorVariable()] 2022-11-23T01:37:54.9694836Z [2022-11-23 01:33:04,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9695086Z [2022-11-23 01:33:04,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9695426Z [2022-11-23 01:33:04,360] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd2372644b0, file "inductor/test_torchinductor.py", line 110> 2022-11-23T01:37:54.9695669Z [2022-11-23 01:33:04,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9695937Z [2022-11-23 01:33:04,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632 2022-11-23T01:37:54.9696140Z [2022-11-23 01:33:04,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9696388Z [2022-11-23 01:33:04,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9696729Z [2022-11-23 01:33:04,360] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.9696977Z [2022-11-23 01:33:04,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9697214Z [2022-11-23 01:33:04,361] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.9697469Z [2022-11-23 01:33:04,361] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.9697725Z [2022-11-23 01:33:04,368] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.9697919Z [2022-11-23 01:33:04,368] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.9698052Z __compiled_fn_245 .2031 opcode, name, target, args, kwargs 2022-11-23T01:37:54.9698129Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.9698213Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.9698377Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:37:54.9698487Z output, output, output, ((model_linear,),), {} 2022-11-23T01:37:54.9698492Z 2022-11-23T01:37:54.9698902Z [2022-11-23 01:33:04,368] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9699056Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.9699163Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9699254Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.9699333Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.9699467Z 8 RETURN_VALUE 2022-11-23T01:37:54.9699472Z 2022-11-23T01:37:54.9699531Z 2022-11-23T01:37:54.9699811Z [2022-11-23 01:33:04,368] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9699923Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_245) 2022-11-23T01:37:54.9700015Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9700104Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9700168Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.9700257Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9700343Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.9700416Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.9700503Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.9700595Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.9700669Z 18 RETURN_VALUE 2022-11-23T01:37:54.9700678Z 2022-11-23T01:37:54.9700724Z 2022-11-23T01:37:54.9700909Z [2022-11-23 01:33:04,369] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.9700979Z - 2022-11-23T01:37:54.9701101Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.9701165Z { 2022-11-23T01:37:54.9701307Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.9701498Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.9701607Z 'obj_weakref': None 2022-11-23T01:37:54.9701832Z 'guarded_class': 2022-11-23T01:37:54.9701895Z } 2022-11-23T01:37:54.9701959Z 2022-11-23T01:37:54.9702029Z - 2022-11-23T01:37:54.9702154Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.9702217Z { 2022-11-23T01:37:54.9702347Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9702454Z 'code': None, 2022-11-23T01:37:54.9702667Z 'obj_weakref': 2022-11-23T01:37:54.9702925Z 'guarded_class': 2022-11-23T01:37:54.9702989Z } 2022-11-23T01:37:54.9703052Z 2022-11-23T01:37:54.9703121Z - 2022-11-23T01:37:54.9703235Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.9703299Z { 2022-11-23T01:37:54.9703442Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9703552Z 'code': None, 2022-11-23T01:37:54.9703766Z 'obj_weakref': 2022-11-23T01:37:54.9704021Z 'guarded_class': 2022-11-23T01:37:54.9704083Z } 2022-11-23T01:37:54.9704143Z 2022-11-23T01:37:54.9704201Z - 2022-11-23T01:37:54.9704320Z local 'model' NN_MODULE 2022-11-23T01:37:54.9704385Z { 2022-11-23T01:37:54.9704521Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.9704692Z 'code': ['___check_obj_id(model, 140538747353296)'], 2022-11-23T01:37:54.9704900Z 'obj_weakref': 2022-11-23T01:37:54.9705159Z 'guarded_class': 2022-11-23T01:37:54.9705212Z } 2022-11-23T01:37:54.9705273Z 2022-11-23T01:37:54.9705346Z - 2022-11-23T01:37:54.9705472Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.9705535Z { 2022-11-23T01:37:54.9705674Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.9705883Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.9706004Z 'obj_weakref': None 2022-11-23T01:37:54.9706224Z 'guarded_class': 2022-11-23T01:37:54.9706317Z } 2022-11-23T01:37:54.9706378Z 2022-11-23T01:37:54.9706448Z - 2022-11-23T01:37:54.9706582Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:54.9706633Z { 2022-11-23T01:37:54.9706758Z 'guard_types': None, 2022-11-23T01:37:54.9706869Z 'code': None, 2022-11-23T01:37:54.9706991Z 'obj_weakref': None 2022-11-23T01:37:54.9707116Z 'guarded_class': None 2022-11-23T01:37:54.9707181Z } 2022-11-23T01:37:54.9707245Z 2022-11-23T01:37:54.9707302Z - 2022-11-23T01:37:54.9707462Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:37:54.9707527Z { 2022-11-23T01:37:54.9707652Z 'guard_types': None, 2022-11-23T01:37:54.9707761Z 'code': None, 2022-11-23T01:37:54.9707881Z 'obj_weakref': None 2022-11-23T01:37:54.9708006Z 'guarded_class': None 2022-11-23T01:37:54.9708059Z } 2022-11-23T01:37:54.9708202Z 2022-11-23T01:37:54.9708282Z - 2022-11-23T01:37:54.9708456Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:37:54.9708521Z { 2022-11-23T01:37:54.9708643Z 'guard_types': None, 2022-11-23T01:37:54.9708755Z 'code': None, 2022-11-23T01:37:54.9708864Z 'obj_weakref': None 2022-11-23T01:37:54.9708986Z 'guarded_class': None 2022-11-23T01:37:54.9709051Z } 2022-11-23T01:37:54.9709113Z 2022-11-23T01:37:54.9709379Z [2022-11-23 01:33:04,380] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 238 2022-11-23T01:37:54.9709754Z [2022-11-23 01:33:04,382] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ic/cicgnqram4mzor3ymq65bs7z6ybekobxrro4yqr4d34x5cvjat6r.py 2022-11-23T01:37:54.9710025Z [2022-11-23 01:33:04,382] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 238 2022-11-23T01:37:54.9710257Z [2022-11-23 01:33:04,386] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.9710532Z [2022-11-23 01:33:04,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.9710758Z [2022-11-23 01:33:04,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.9711011Z [2022-11-23 01:33:04,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.9711294Z [2022-11-23 01:33:04,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.9711616Z [2022-11-23 01:33:04,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.9711955Z [2022-11-23 01:33:04,387] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.9712054Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9712154Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:37:54.9712233Z 4 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9712363Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9712458Z 8 STORE_FAST 1 (x) 2022-11-23T01:37:54.9712463Z 2022-11-23T01:37:54.9712556Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9712657Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:37:54.9712746Z 14 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9712835Z 16 LOAD_FAST 2 (y) 2022-11-23T01:37:54.9712924Z 18 CALL_METHOD 2 2022-11-23T01:37:54.9713000Z 20 STORE_FAST 1 (x) 2022-11-23T01:37:54.9713005Z 2022-11-23T01:37:54.9713138Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9713216Z 24 RETURN_VALUE 2022-11-23T01:37:54.9713276Z 2022-11-23T01:37:54.9713282Z 2022-11-23T01:37:54.9713560Z [2022-11-23 01:33:04,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630 2022-11-23T01:37:54.9713781Z [2022-11-23 01:33:04,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9714161Z [2022-11-23 01:33:04,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:37:54.9714433Z [2022-11-23 01:33:04,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:37:54.9714698Z [2022-11-23 01:33:04,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:37:54.9714941Z [2022-11-23 01:33:04,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9715216Z [2022-11-23 01:33:04,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631 2022-11-23T01:37:54.9715433Z [2022-11-23 01:33:04,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9715690Z [2022-11-23 01:33:04,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:37:54.9715945Z [2022-11-23 01:33:04,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:37:54.9716225Z [2022-11-23 01:33:04,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:37:54.9716537Z [2022-11-23 01:33:04,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9716869Z [2022-11-23 01:33:04,396] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd237264780, file "inductor/test_torchinductor.py", line 111> 2022-11-23T01:37:54.9716962Z 111 0 LOAD_FAST 0 (x) 2022-11-23T01:37:54.9717044Z 2 LOAD_METHOD 0 (sub) 2022-11-23T01:37:54.9717134Z 4 LOAD_FAST 1 (y) 2022-11-23T01:37:54.9717222Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9717301Z 8 RETURN_VALUE 2022-11-23T01:37:54.9717361Z 2022-11-23T01:37:54.9717366Z 2022-11-23T01:37:54.9717578Z [2022-11-23 01:33:04,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9717822Z [2022-11-23 01:33:04,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TensorVariable()] 2022-11-23T01:37:54.9718096Z [2022-11-23 01:33:04,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), sub)] 2022-11-23T01:37:54.9718392Z [2022-11-23 01:33:04,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sub), TensorVariable()] 2022-11-23T01:37:54.9718641Z [2022-11-23 01:33:04,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9718978Z [2022-11-23 01:33:04,397] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd237264780, file "inductor/test_torchinductor.py", line 111> 2022-11-23T01:37:54.9719261Z [2022-11-23 01:33:04,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9719533Z [2022-11-23 01:33:04,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632 2022-11-23T01:37:54.9719744Z [2022-11-23 01:33:04,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9719994Z [2022-11-23 01:33:04,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9720332Z [2022-11-23 01:33:04,398] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.9720616Z [2022-11-23 01:33:04,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9720842Z [2022-11-23 01:33:04,398] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.9721103Z [2022-11-23 01:33:04,399] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.9721354Z [2022-11-23 01:33:04,410] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.9721546Z [2022-11-23 01:33:04,410] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.9721681Z __compiled_fn_246 .2042 opcode, name, target, args, kwargs 2022-11-23T01:37:54.9721770Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.9721853Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.9721974Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:37:54.9722070Z output, output, output, ((model_linear,),), {} 2022-11-23T01:37:54.9722088Z 2022-11-23T01:37:54.9722355Z [2022-11-23 01:33:04,410] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9722448Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.9722539Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9722632Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.9722720Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.9722794Z 8 RETURN_VALUE 2022-11-23T01:37:54.9722799Z 2022-11-23T01:37:54.9722857Z 2022-11-23T01:37:54.9723120Z [2022-11-23 01:33:04,411] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9723228Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_246) 2022-11-23T01:37:54.9723315Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9723405Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9723481Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.9723567Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9723651Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.9723723Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.9723801Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.9723892Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.9723965Z 18 RETURN_VALUE 2022-11-23T01:37:54.9723970Z 2022-11-23T01:37:54.9724029Z 2022-11-23T01:37:54.9724213Z [2022-11-23 01:33:04,411] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.9724285Z - 2022-11-23T01:37:54.9724405Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.9724458Z { 2022-11-23T01:37:54.9724601Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.9724789Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.9724914Z 'obj_weakref': None 2022-11-23T01:37:54.9725139Z 'guarded_class': 2022-11-23T01:37:54.9725203Z } 2022-11-23T01:37:54.9725268Z 2022-11-23T01:37:54.9725325Z - 2022-11-23T01:37:54.9725482Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.9725549Z { 2022-11-23T01:37:54.9725694Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9725802Z 'code': None, 2022-11-23T01:37:54.9726016Z 'obj_weakref': 2022-11-23T01:37:54.9726272Z 'guarded_class': 2022-11-23T01:37:54.9726323Z } 2022-11-23T01:37:54.9726384Z 2022-11-23T01:37:54.9726453Z - 2022-11-23T01:37:54.9726577Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.9726671Z { 2022-11-23T01:37:54.9726817Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9726926Z 'code': None, 2022-11-23T01:37:54.9727127Z 'obj_weakref': 2022-11-23T01:37:54.9727385Z 'guarded_class': 2022-11-23T01:37:54.9727447Z } 2022-11-23T01:37:54.9727507Z 2022-11-23T01:37:54.9727578Z - 2022-11-23T01:37:54.9727698Z local 'model' NN_MODULE 2022-11-23T01:37:54.9727760Z { 2022-11-23T01:37:54.9727883Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.9728056Z 'code': ['___check_obj_id(model, 140538743485328)'], 2022-11-23T01:37:54.9728260Z 'obj_weakref': 2022-11-23T01:37:54.9728476Z 'guarded_class': 2022-11-23T01:37:54.9728542Z } 2022-11-23T01:37:54.9728603Z 2022-11-23T01:37:54.9728674Z - 2022-11-23T01:37:54.9728785Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.9728847Z { 2022-11-23T01:37:54.9728984Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.9729206Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.9729329Z 'obj_weakref': None 2022-11-23T01:37:54.9729549Z 'guarded_class': 2022-11-23T01:37:54.9729610Z } 2022-11-23T01:37:54.9729660Z 2022-11-23T01:37:54.9729727Z - 2022-11-23T01:37:54.9729883Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:37:54.9729948Z { 2022-11-23T01:37:54.9730069Z 'guard_types': None, 2022-11-23T01:37:54.9730180Z 'code': None, 2022-11-23T01:37:54.9730299Z 'obj_weakref': None 2022-11-23T01:37:54.9730409Z 'guarded_class': None 2022-11-23T01:37:54.9730470Z } 2022-11-23T01:37:54.9730532Z 2022-11-23T01:37:54.9730601Z - 2022-11-23T01:37:54.9730771Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:37:54.9730835Z { 2022-11-23T01:37:54.9730942Z 'guard_types': None, 2022-11-23T01:37:54.9731052Z 'code': None, 2022-11-23T01:37:54.9731169Z 'obj_weakref': None 2022-11-23T01:37:54.9731291Z 'guarded_class': None 2022-11-23T01:37:54.9731353Z } 2022-11-23T01:37:54.9731413Z 2022-11-23T01:37:54.9731675Z [2022-11-23 01:33:04,422] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 239 2022-11-23T01:37:54.9732044Z [2022-11-23 01:33:04,424] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/f3/cf3eqd3msmj3bq564ngjpk4olpvvhlwz2njv4qdvwlnfjplm42qw.py 2022-11-23T01:37:54.9732299Z [2022-11-23 01:33:04,424] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 239 2022-11-23T01:37:54.9732535Z [2022-11-23 01:33:04,427] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.9732839Z [2022-11-23 01:33:04,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.9733066Z [2022-11-23 01:33:04,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.9733312Z [2022-11-23 01:33:04,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.9733590Z [2022-11-23 01:33:04,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.9733907Z [2022-11-23 01:33:04,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.9734288Z [2022-11-23 01:33:04,428] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.9734381Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9734467Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:37:54.9734555Z 4 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9734646Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9734736Z 8 STORE_FAST 1 (x) 2022-11-23T01:37:54.9734741Z 2022-11-23T01:37:54.9734831Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9734926Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:37:54.9735013Z 14 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9735100Z 16 LOAD_FAST 2 (y) 2022-11-23T01:37:54.9735175Z 18 CALL_METHOD 2 2022-11-23T01:37:54.9735265Z 20 STORE_FAST 1 (x) 2022-11-23T01:37:54.9735269Z 2022-11-23T01:37:54.9735353Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9735429Z 24 RETURN_VALUE 2022-11-23T01:37:54.9735488Z 2022-11-23T01:37:54.9735494Z 2022-11-23T01:37:54.9735770Z [2022-11-23 01:33:04,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630 2022-11-23T01:37:54.9735987Z [2022-11-23 01:33:04,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9736239Z [2022-11-23 01:33:04,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:37:54.9736473Z [2022-11-23 01:33:04,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:37:54.9736750Z [2022-11-23 01:33:04,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:37:54.9736997Z [2022-11-23 01:33:04,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9737265Z [2022-11-23 01:33:04,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631 2022-11-23T01:37:54.9737484Z [2022-11-23 01:33:04,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9737737Z [2022-11-23 01:33:04,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:37:54.9737990Z [2022-11-23 01:33:04,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:37:54.9738268Z [2022-11-23 01:33:04,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:37:54.9738584Z [2022-11-23 01:33:04,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9739107Z [2022-11-23 01:33:04,432] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd237264780, file "inductor/test_torchinductor.py", line 111> 2022-11-23T01:37:54.9739206Z 111 0 LOAD_FAST 0 (x) 2022-11-23T01:37:54.9739301Z 2 LOAD_METHOD 0 (sub) 2022-11-23T01:37:54.9739452Z 4 LOAD_FAST 1 (y) 2022-11-23T01:37:54.9739548Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9739624Z 8 RETURN_VALUE 2022-11-23T01:37:54.9739685Z 2022-11-23T01:37:54.9739690Z 2022-11-23T01:37:54.9739906Z [2022-11-23 01:33:04,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9740138Z [2022-11-23 01:33:04,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TensorVariable()] 2022-11-23T01:37:54.9740418Z [2022-11-23 01:33:04,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), sub)] 2022-11-23T01:37:54.9740772Z [2022-11-23 01:33:04,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sub), TensorVariable()] 2022-11-23T01:37:54.9741020Z [2022-11-23 01:33:04,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9741360Z [2022-11-23 01:33:04,433] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd237264780, file "inductor/test_torchinductor.py", line 111> 2022-11-23T01:37:54.9741604Z [2022-11-23 01:33:04,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9741872Z [2022-11-23 01:33:04,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632 2022-11-23T01:37:54.9742085Z [2022-11-23 01:33:04,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9742334Z [2022-11-23 01:33:04,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9742676Z [2022-11-23 01:33:04,434] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.9742913Z [2022-11-23 01:33:04,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9743153Z [2022-11-23 01:33:04,434] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.9743410Z [2022-11-23 01:33:04,435] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.9743662Z [2022-11-23 01:33:04,441] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.9743854Z [2022-11-23 01:33:04,441] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.9743987Z __compiled_fn_247 .2053 opcode, name, target, args, kwargs 2022-11-23T01:37:54.9744074Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.9744161Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.9744269Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:37:54.9744373Z output, output, output, ((model_linear,),), {} 2022-11-23T01:37:54.9744379Z 2022-11-23T01:37:54.9744659Z [2022-11-23 01:33:04,442] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9744752Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.9744843Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9744934Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.9745023Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.9745098Z 8 RETURN_VALUE 2022-11-23T01:37:54.9745103Z 2022-11-23T01:37:54.9745151Z 2022-11-23T01:37:54.9745424Z [2022-11-23 01:33:04,442] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9745534Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_247) 2022-11-23T01:37:54.9745621Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9745709Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9745784Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.9745871Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9745983Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.9746059Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.9746146Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.9746237Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.9746310Z 18 RETURN_VALUE 2022-11-23T01:37:54.9746315Z 2022-11-23T01:37:54.9746375Z 2022-11-23T01:37:54.9746558Z [2022-11-23 01:33:04,442] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.9746629Z - 2022-11-23T01:37:54.9746737Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.9746800Z { 2022-11-23T01:37:54.9746980Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.9747169Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.9747290Z 'obj_weakref': None 2022-11-23T01:37:54.9747515Z 'guarded_class': 2022-11-23T01:37:54.9747578Z } 2022-11-23T01:37:54.9747630Z 2022-11-23T01:37:54.9747699Z - 2022-11-23T01:37:54.9747825Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.9747889Z { 2022-11-23T01:37:54.9748032Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9748220Z 'code': None, 2022-11-23T01:37:54.9748443Z 'obj_weakref': 2022-11-23T01:37:54.9748687Z 'guarded_class': 2022-11-23T01:37:54.9748752Z } 2022-11-23T01:37:54.9748823Z 2022-11-23T01:37:54.9748895Z - 2022-11-23T01:37:54.9749019Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.9749081Z { 2022-11-23T01:37:54.9749224Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9749321Z 'code': None, 2022-11-23T01:37:54.9749539Z 'obj_weakref': 2022-11-23T01:37:54.9749797Z 'guarded_class': 2022-11-23T01:37:54.9749861Z } 2022-11-23T01:37:54.9749924Z 2022-11-23T01:37:54.9749994Z - 2022-11-23T01:37:54.9750117Z local 'model' NN_MODULE 2022-11-23T01:37:54.9750168Z { 2022-11-23T01:37:54.9750306Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.9750479Z 'code': ['___check_obj_id(model, 140539098175952)'], 2022-11-23T01:37:54.9750691Z 'obj_weakref': 2022-11-23T01:37:54.9750909Z 'guarded_class': 2022-11-23T01:37:54.9750972Z } 2022-11-23T01:37:54.9751034Z 2022-11-23T01:37:54.9751090Z - 2022-11-23T01:37:54.9751212Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.9751276Z { 2022-11-23T01:37:54.9751418Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.9751641Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.9751767Z 'obj_weakref': None 2022-11-23T01:37:54.9751993Z 'guarded_class': 2022-11-23T01:37:54.9752044Z } 2022-11-23T01:37:54.9752107Z 2022-11-23T01:37:54.9752179Z - 2022-11-23T01:37:54.9752338Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:37:54.9752406Z { 2022-11-23T01:37:54.9752529Z 'guard_types': None, 2022-11-23T01:37:54.9752639Z 'code': None, 2022-11-23T01:37:54.9752746Z 'obj_weakref': None 2022-11-23T01:37:54.9752869Z 'guarded_class': None 2022-11-23T01:37:54.9752934Z } 2022-11-23T01:37:54.9752999Z 2022-11-23T01:37:54.9753115Z - 2022-11-23T01:37:54.9753292Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:37:54.9753343Z { 2022-11-23T01:37:54.9753465Z 'guard_types': None, 2022-11-23T01:37:54.9753575Z 'code': None, 2022-11-23T01:37:54.9753695Z 'obj_weakref': None 2022-11-23T01:37:54.9753818Z 'guarded_class': None 2022-11-23T01:37:54.9753883Z } 2022-11-23T01:37:54.9753946Z 2022-11-23T01:37:54.9754197Z [2022-11-23 01:33:04,452] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 240 2022-11-23T01:37:54.9754613Z [2022-11-23 01:33:04,454] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rb/crbcjemi2wc6kam6umwpfe764xupet7copjox5doiiy3rkgjpemq.py 2022-11-23T01:37:54.9754881Z [2022-11-23 01:33:04,454] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 240 2022-11-23T01:37:54.9755125Z [2022-11-23 01:33:04,458] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.9755399Z [2022-11-23 01:33:04,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.9755620Z [2022-11-23 01:33:04,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.9755867Z [2022-11-23 01:33:04,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.9756150Z [2022-11-23 01:33:04,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.9756470Z [2022-11-23 01:33:04,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.9756806Z [2022-11-23 01:33:04,458] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.9756891Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9756992Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:37:54.9757080Z 4 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9757171Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9757264Z 8 STORE_FAST 1 (x) 2022-11-23T01:37:54.9757269Z 2022-11-23T01:37:54.9757362Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9757459Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:37:54.9757548Z 14 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9757627Z 16 LOAD_FAST 2 (y) 2022-11-23T01:37:54.9757717Z 18 CALL_METHOD 2 2022-11-23T01:37:54.9757805Z 20 STORE_FAST 1 (x) 2022-11-23T01:37:54.9757809Z 2022-11-23T01:37:54.9757896Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9757977Z 24 RETURN_VALUE 2022-11-23T01:37:54.9758039Z 2022-11-23T01:37:54.9758044Z 2022-11-23T01:37:54.9758317Z [2022-11-23 01:33:04,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630 2022-11-23T01:37:54.9758520Z [2022-11-23 01:33:04,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9758775Z [2022-11-23 01:33:04,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:37:54.9759021Z [2022-11-23 01:33:04,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:37:54.9759305Z [2022-11-23 01:33:04,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:37:54.9759549Z [2022-11-23 01:33:04,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9759850Z [2022-11-23 01:33:04,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631 2022-11-23T01:37:54.9760071Z [2022-11-23 01:33:04,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9760323Z [2022-11-23 01:33:04,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:37:54.9760575Z [2022-11-23 01:33:04,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:37:54.9760854Z [2022-11-23 01:33:04,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:37:54.9761155Z [2022-11-23 01:33:04,466] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9761545Z [2022-11-23 01:33:04,467] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd237264780, file "inductor/test_torchinductor.py", line 111> 2022-11-23T01:37:54.9761638Z 111 0 LOAD_FAST 0 (x) 2022-11-23T01:37:54.9761732Z 2 LOAD_METHOD 0 (sub) 2022-11-23T01:37:54.9761820Z 4 LOAD_FAST 1 (y) 2022-11-23T01:37:54.9761909Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9761987Z 8 RETURN_VALUE 2022-11-23T01:37:54.9762047Z 2022-11-23T01:37:54.9762051Z 2022-11-23T01:37:54.9762249Z [2022-11-23 01:33:04,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9762490Z [2022-11-23 01:33:04,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TensorVariable()] 2022-11-23T01:37:54.9762772Z [2022-11-23 01:33:04,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), sub)] 2022-11-23T01:37:54.9763080Z [2022-11-23 01:33:04,467] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sub), TensorVariable()] 2022-11-23T01:37:54.9763330Z [2022-11-23 01:33:04,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9763668Z [2022-11-23 01:33:04,468] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd237264780, file "inductor/test_torchinductor.py", line 111> 2022-11-23T01:37:54.9763911Z [2022-11-23 01:33:04,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9764180Z [2022-11-23 01:33:04,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632 2022-11-23T01:37:54.9764395Z [2022-11-23 01:33:04,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9764633Z [2022-11-23 01:33:04,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9764971Z [2022-11-23 01:33:04,468] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.9765223Z [2022-11-23 01:33:04,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9765460Z [2022-11-23 01:33:04,468] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.9765717Z [2022-11-23 01:33:04,469] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.9765967Z [2022-11-23 01:33:04,480] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.9766158Z [2022-11-23 01:33:04,480] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.9766295Z __compiled_fn_248 .2064 opcode, name, target, args, kwargs 2022-11-23T01:37:54.9766383Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.9766457Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.9766577Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:37:54.9766684Z output, output, output, ((model_linear,),), {} 2022-11-23T01:37:54.9766758Z 2022-11-23T01:37:54.9767044Z [2022-11-23 01:33:04,481] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9767139Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.9767231Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9767321Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.9767411Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.9767474Z 8 RETURN_VALUE 2022-11-23T01:37:54.9767479Z 2022-11-23T01:37:54.9767539Z 2022-11-23T01:37:54.9767848Z [2022-11-23 01:33:04,481] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9767956Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_248) 2022-11-23T01:37:54.9768044Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9768133Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9768211Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.9768288Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9768378Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.9768452Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.9768539Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.9768630Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.9768705Z 18 RETURN_VALUE 2022-11-23T01:37:54.9768710Z 2022-11-23T01:37:54.9768769Z 2022-11-23T01:37:54.9768953Z [2022-11-23 01:33:04,482] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.9769014Z - 2022-11-23T01:37:54.9769133Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.9769198Z { 2022-11-23T01:37:54.9769340Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.9769528Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.9769650Z 'obj_weakref': None 2022-11-23T01:37:54.9769879Z 'guarded_class': 2022-11-23T01:37:54.9769932Z } 2022-11-23T01:37:54.9769994Z 2022-11-23T01:37:54.9770067Z - 2022-11-23T01:37:54.9770192Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.9770255Z { 2022-11-23T01:37:54.9770398Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9770494Z 'code': None, 2022-11-23T01:37:54.9770708Z 'obj_weakref': 2022-11-23T01:37:54.9770963Z 'guarded_class': 2022-11-23T01:37:54.9771028Z } 2022-11-23T01:37:54.9771090Z 2022-11-23T01:37:54.9771159Z - 2022-11-23T01:37:54.9771284Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.9771336Z { 2022-11-23T01:37:54.9771481Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9771588Z 'code': None, 2022-11-23T01:37:54.9771803Z 'obj_weakref': 2022-11-23T01:37:54.9772058Z 'guarded_class': 2022-11-23T01:37:54.9772121Z } 2022-11-23T01:37:54.9772182Z 2022-11-23T01:37:54.9772252Z - 2022-11-23T01:37:54.9772360Z local 'model' NN_MODULE 2022-11-23T01:37:54.9772422Z { 2022-11-23T01:37:54.9772556Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.9772731Z 'code': ['___check_obj_id(model, 140538441453456)'], 2022-11-23T01:37:54.9772935Z 'obj_weakref': 2022-11-23T01:37:54.9773152Z 'guarded_class': 2022-11-23T01:37:54.9773216Z } 2022-11-23T01:37:54.9773297Z 2022-11-23T01:37:54.9773371Z - 2022-11-23T01:37:54.9773492Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.9773554Z { 2022-11-23T01:37:54.9773694Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.9773915Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.9774036Z 'obj_weakref': None 2022-11-23T01:37:54.9774243Z 'guarded_class': 2022-11-23T01:37:54.9774306Z } 2022-11-23T01:37:54.9774399Z 2022-11-23T01:37:54.9774469Z - 2022-11-23T01:37:54.9774626Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:37:54.9774687Z { 2022-11-23T01:37:54.9774807Z 'guard_types': None, 2022-11-23T01:37:54.9774902Z 'code': None, 2022-11-23T01:37:54.9775020Z 'obj_weakref': None 2022-11-23T01:37:54.9775143Z 'guarded_class': None 2022-11-23T01:37:54.9775206Z } 2022-11-23T01:37:54.9775266Z 2022-11-23T01:37:54.9775335Z - 2022-11-23T01:37:54.9775491Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:37:54.9775554Z { 2022-11-23T01:37:54.9775673Z 'guard_types': None, 2022-11-23T01:37:54.9775783Z 'code': None, 2022-11-23T01:37:54.9775901Z 'obj_weakref': None 2022-11-23T01:37:54.9776022Z 'guarded_class': None 2022-11-23T01:37:54.9776084Z } 2022-11-23T01:37:54.9776136Z 2022-11-23T01:37:54.9776399Z [2022-11-23 01:33:04,492] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 241 2022-11-23T01:37:54.9776769Z [2022-11-23 01:33:04,494] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ym/cymgcgjn7c53piksz5xz4fqi66c7lml2y47buak4byhycrahntlt.py 2022-11-23T01:37:54.9777042Z [2022-11-23 01:33:04,494] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 241 2022-11-23T01:37:54.9777286Z [2022-11-23 01:33:04,498] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.9777559Z [2022-11-23 01:33:04,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.9777778Z [2022-11-23 01:33:04,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.9778025Z [2022-11-23 01:33:04,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.9778306Z [2022-11-23 01:33:04,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.9778609Z [2022-11-23 01:33:04,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.9779180Z [2022-11-23 01:33:04,498] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.9779283Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9779379Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:37:54.9779472Z 4 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9779561Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9779651Z 8 STORE_FAST 1 (x) 2022-11-23T01:37:54.9779657Z 2022-11-23T01:37:54.9779747Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9779833Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:37:54.9779920Z 14 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9780007Z 16 LOAD_FAST 2 (y) 2022-11-23T01:37:54.9780094Z 18 CALL_METHOD 2 2022-11-23T01:37:54.9780181Z 20 STORE_FAST 1 (x) 2022-11-23T01:37:54.9780244Z 2022-11-23T01:37:54.9780333Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9780410Z 24 RETURN_VALUE 2022-11-23T01:37:54.9780470Z 2022-11-23T01:37:54.9780474Z 2022-11-23T01:37:54.9780741Z [2022-11-23 01:33:04,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630 2022-11-23T01:37:54.9780956Z [2022-11-23 01:33:04,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9781210Z [2022-11-23 01:33:04,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:37:54.9781496Z [2022-11-23 01:33:04,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:37:54.9781779Z [2022-11-23 01:33:04,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:37:54.9782022Z [2022-11-23 01:33:04,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9782291Z [2022-11-23 01:33:04,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631 2022-11-23T01:37:54.9782508Z [2022-11-23 01:33:04,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9782763Z [2022-11-23 01:33:04,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:37:54.9783005Z [2022-11-23 01:33:04,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:37:54.9783288Z [2022-11-23 01:33:04,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:37:54.9783605Z [2022-11-23 01:33:04,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9783944Z [2022-11-23 01:33:04,501] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd237264780, file "inductor/test_torchinductor.py", line 111> 2022-11-23T01:37:54.9784034Z 111 0 LOAD_FAST 0 (x) 2022-11-23T01:37:54.9784127Z 2 LOAD_METHOD 0 (sub) 2022-11-23T01:37:54.9784215Z 4 LOAD_FAST 1 (y) 2022-11-23T01:37:54.9784303Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9784366Z 8 RETURN_VALUE 2022-11-23T01:37:54.9784423Z 2022-11-23T01:37:54.9784428Z 2022-11-23T01:37:54.9784640Z [2022-11-23 01:33:04,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9784890Z [2022-11-23 01:33:04,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TensorVariable()] 2022-11-23T01:37:54.9785165Z [2022-11-23 01:33:04,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), sub)] 2022-11-23T01:37:54.9785478Z [2022-11-23 01:33:04,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sub), TensorVariable()] 2022-11-23T01:37:54.9785728Z [2022-11-23 01:33:04,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9786063Z [2022-11-23 01:33:04,503] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd237264780, file "inductor/test_torchinductor.py", line 111> 2022-11-23T01:37:54.9786306Z [2022-11-23 01:33:04,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9786575Z [2022-11-23 01:33:04,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632 2022-11-23T01:37:54.9786776Z [2022-11-23 01:33:04,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9787026Z [2022-11-23 01:33:04,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9787395Z [2022-11-23 01:33:04,503] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.9787648Z [2022-11-23 01:33:04,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9787886Z [2022-11-23 01:33:04,503] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.9788223Z [2022-11-23 01:33:04,504] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.9788482Z [2022-11-23 01:33:04,510] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.9788712Z [2022-11-23 01:33:04,511] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.9788849Z __compiled_fn_249 .2075 opcode, name, target, args, kwargs 2022-11-23T01:37:54.9788926Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.9789013Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.9789158Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:37:54.9789264Z output, output, output, ((model_linear,),), {} 2022-11-23T01:37:54.9789270Z 2022-11-23T01:37:54.9789550Z [2022-11-23 01:33:04,511] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9789644Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.9789733Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9789824Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.9789902Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.9789980Z 8 RETURN_VALUE 2022-11-23T01:37:54.9789985Z 2022-11-23T01:37:54.9790044Z 2022-11-23T01:37:54.9790317Z [2022-11-23 01:33:04,511] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9790425Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_249) 2022-11-23T01:37:54.9790518Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9790606Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9790669Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.9790757Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9790845Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.9790918Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.9791005Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.9791094Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.9791169Z 18 RETURN_VALUE 2022-11-23T01:37:54.9791174Z 2022-11-23T01:37:54.9791222Z 2022-11-23T01:37:54.9791407Z [2022-11-23 01:33:04,512] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.9791477Z - 2022-11-23T01:37:54.9791598Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.9791664Z { 2022-11-23T01:37:54.9791807Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.9792003Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.9792111Z 'obj_weakref': None 2022-11-23T01:37:54.9792335Z 'guarded_class': 2022-11-23T01:37:54.9792398Z } 2022-11-23T01:37:54.9792461Z 2022-11-23T01:37:54.9792531Z - 2022-11-23T01:37:54.9792657Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.9792723Z { 2022-11-23T01:37:54.9792856Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9792965Z 'code': None, 2022-11-23T01:37:54.9793182Z 'obj_weakref': 2022-11-23T01:37:54.9793436Z 'guarded_class': 2022-11-23T01:37:54.9793498Z } 2022-11-23T01:37:54.9793560Z 2022-11-23T01:37:54.9793631Z - 2022-11-23T01:37:54.9793773Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.9793839Z { 2022-11-23T01:37:54.9793984Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9794095Z 'code': None, 2022-11-23T01:37:54.9794308Z 'obj_weakref': 2022-11-23T01:37:54.9794562Z 'guarded_class': 2022-11-23T01:37:54.9794625Z } 2022-11-23T01:37:54.9794687Z 2022-11-23T01:37:54.9794745Z - 2022-11-23T01:37:54.9794900Z local 'model' NN_MODULE 2022-11-23T01:37:54.9794963Z { 2022-11-23T01:37:54.9795098Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.9795267Z 'code': ['___check_obj_id(model, 140538440811472)'], 2022-11-23T01:37:54.9795473Z 'obj_weakref': 2022-11-23T01:37:54.9795699Z 'guarded_class': 2022-11-23T01:37:54.9795749Z } 2022-11-23T01:37:54.9795810Z 2022-11-23T01:37:54.9795882Z - 2022-11-23T01:37:54.9796004Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.9796068Z { 2022-11-23T01:37:54.9796209Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.9796418Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.9796541Z 'obj_weakref': None 2022-11-23T01:37:54.9796764Z 'guarded_class': 2022-11-23T01:37:54.9796832Z } 2022-11-23T01:37:54.9796896Z 2022-11-23T01:37:54.9796967Z - 2022-11-23T01:37:54.9797126Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:37:54.9797178Z { 2022-11-23T01:37:54.9797301Z 'guard_types': None, 2022-11-23T01:37:54.9797413Z 'code': None, 2022-11-23T01:37:54.9797535Z 'obj_weakref': None 2022-11-23T01:37:54.9797660Z 'guarded_class': None 2022-11-23T01:37:54.9797725Z } 2022-11-23T01:37:54.9797788Z 2022-11-23T01:37:54.9797845Z - 2022-11-23T01:37:54.9798016Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:37:54.9798081Z { 2022-11-23T01:37:54.9798202Z 'guard_types': None, 2022-11-23T01:37:54.9798313Z 'code': None, 2022-11-23T01:37:54.9798437Z 'obj_weakref': None 2022-11-23T01:37:54.9798565Z 'guarded_class': None 2022-11-23T01:37:54.9798614Z } 2022-11-23T01:37:54.9798677Z 2022-11-23T01:37:54.9798941Z [2022-11-23 01:33:04,521] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 242 2022-11-23T01:37:54.9798947Z 2022-11-23T01:37:54.9798951Z 2022-11-23T01:37:54.9799049Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.9799120Z import torch 2022-11-23T01:37:54.9799189Z import random 2022-11-23T01:37:54.9799306Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.9799415Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.9799433Z 2022-11-23T01:37:54.9799498Z aten = torch.ops.aten 2022-11-23T01:37:54.9799633Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.9799725Z async_compile = AsyncCompile() 2022-11-23T01:37:54.9799730Z 2022-11-23T01:37:54.9799736Z 2022-11-23T01:37:54.9799823Z async_compile.wait(globals()) 2022-11-23T01:37:54.9799901Z del async_compile 2022-11-23T01:37:54.9799906Z 2022-11-23T01:37:54.9799977Z def call(args): 2022-11-23T01:37:54.9800069Z arg0_1, arg1_1, arg2_1, arg3_1 = args 2022-11-23T01:37:54.9800127Z args.clear() 2022-11-23T01:37:54.9800359Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'sub') 2022-11-23T01:37:54.9800428Z del arg0_1 2022-11-23T01:37:54.9800528Z del arg1_1 2022-11-23T01:37:54.9800596Z del arg2_1 2022-11-23T01:37:54.9800662Z del arg3_1 2022-11-23T01:37:54.9800735Z return (buf0, ) 2022-11-23T01:37:54.9800740Z 2022-11-23T01:37:54.9800744Z 2022-11-23T01:37:54.9800821Z if __name__ == "__main__": 2022-11-23T01:37:54.9800923Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.9801046Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.9801256Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9801459Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9801702Z arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9801913Z arg3_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9802044Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1])) 2022-11-23T01:37:54.9802051Z 2022-11-23T01:37:54.9802055Z 2022-11-23T01:37:54.9802151Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.9802210Z import torch 2022-11-23T01:37:54.9802280Z import random 2022-11-23T01:37:54.9802394Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.9802512Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.9802516Z 2022-11-23T01:37:54.9802592Z aten = torch.ops.aten 2022-11-23T01:37:54.9802726Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.9802817Z async_compile = AsyncCompile() 2022-11-23T01:37:54.9802822Z 2022-11-23T01:37:54.9802828Z 2022-11-23T01:37:54.9802913Z async_compile.wait(globals()) 2022-11-23T01:37:54.9802972Z del async_compile 2022-11-23T01:37:54.9802977Z 2022-11-23T01:37:54.9803045Z def call(args): 2022-11-23T01:37:54.9803127Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:54.9803197Z args.clear() 2022-11-23T01:37:54.9803426Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'sub') 2022-11-23T01:37:54.9803494Z del arg0_1 2022-11-23T01:37:54.9803562Z del arg1_1 2022-11-23T01:37:54.9803616Z del arg2_1 2022-11-23T01:37:54.9803684Z return (buf0, ) 2022-11-23T01:37:54.9803689Z 2022-11-23T01:37:54.9803693Z 2022-11-23T01:37:54.9803765Z if __name__ == "__main__": 2022-11-23T01:37:54.9803880Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.9804000Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.9804209Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9804424Z arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9804632Z arg2_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9804741Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:54.9804745Z 2022-11-23T01:37:54.9804760Z 2022-11-23T01:37:54.9804842Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.9804912Z import torch 2022-11-23T01:37:54.9804980Z import random 2022-11-23T01:37:54.9805092Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.9805209Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.9805214Z 2022-11-23T01:37:54.9805288Z aten = torch.ops.aten 2022-11-23T01:37:54.9805420Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.9805499Z async_compile = AsyncCompile() 2022-11-23T01:37:54.9805504Z 2022-11-23T01:37:54.9805508Z 2022-11-23T01:37:54.9805594Z async_compile.wait(globals()) 2022-11-23T01:37:54.9805669Z del async_compile 2022-11-23T01:37:54.9805674Z 2022-11-23T01:37:54.9805743Z def call(args): 2022-11-23T01:37:54.9805830Z arg0_1, arg1_1, arg2_1, arg3_1 = args 2022-11-23T01:37:54.9805900Z args.clear() 2022-11-23T01:37:54.9806129Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'sub') 2022-11-23T01:37:54.9806220Z del arg0_1 2022-11-23T01:37:54.9806288Z del arg1_1 2022-11-23T01:37:54.9806355Z del arg2_1 2022-11-23T01:37:54.9806419Z del arg3_1 2022-11-23T01:37:54.9806489Z return (buf0, ) 2022-11-23T01:37:54.9806494Z 2022-11-23T01:37:54.9806498Z 2022-11-23T01:37:54.9806571Z if __name__ == "__main__": 2022-11-23T01:37:54.9806682Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.9806801Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.9806994Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9807191Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9807437Z arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9807641Z arg3_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9807769Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1])) 2022-11-23T01:37:54.9807776Z 2022-11-23T01:37:54.9807780Z 2022-11-23T01:37:54.9807873Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.9807941Z import torch 2022-11-23T01:37:54.9808014Z import random 2022-11-23T01:37:54.9808114Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.9808232Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.9808237Z 2022-11-23T01:37:54.9808314Z aten = torch.ops.aten 2022-11-23T01:37:54.9808442Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.9808534Z async_compile = AsyncCompile() 2022-11-23T01:37:54.9808539Z 2022-11-23T01:37:54.9808546Z 2022-11-23T01:37:54.9808631Z async_compile.wait(globals()) 2022-11-23T01:37:54.9808702Z del async_compile 2022-11-23T01:37:54.9808707Z 2022-11-23T01:37:54.9808775Z def call(args): 2022-11-23T01:37:54.9808842Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:54.9808911Z args.clear() 2022-11-23T01:37:54.9809139Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'sub') 2022-11-23T01:37:54.9809206Z del arg0_1 2022-11-23T01:37:54.9809275Z del arg1_1 2022-11-23T01:37:54.9809341Z del arg2_1 2022-11-23T01:37:54.9809411Z return (buf0, ) 2022-11-23T01:37:54.9809416Z 2022-11-23T01:37:54.9809420Z 2022-11-23T01:37:54.9809483Z if __name__ == "__main__": 2022-11-23T01:37:54.9809593Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.9809713Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.9809918Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9810122Z arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9810321Z arg2_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9810441Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:54.9810446Z 2022-11-23T01:37:54.9810450Z 2022-11-23T01:37:54.9810549Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.9810607Z import torch 2022-11-23T01:37:54.9810675Z import random 2022-11-23T01:37:54.9810787Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.9810905Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.9810910Z 2022-11-23T01:37:54.9810985Z aten = torch.ops.aten 2022-11-23T01:37:54.9811116Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.9811204Z async_compile = AsyncCompile() 2022-11-23T01:37:54.9811209Z 2022-11-23T01:37:54.9811214Z 2022-11-23T01:37:54.9811299Z async_compile.wait(globals()) 2022-11-23T01:37:54.9811362Z del async_compile 2022-11-23T01:37:54.9811366Z 2022-11-23T01:37:54.9811435Z def call(args): 2022-11-23T01:37:54.9811522Z arg0_1, arg1_1, arg2_1, arg3_1 = args 2022-11-23T01:37:54.9811592Z args.clear() 2022-11-23T01:37:54.9811821Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'sub') 2022-11-23T01:37:54.9811889Z del arg0_1 2022-11-23T01:37:54.9811984Z del arg1_1 2022-11-23T01:37:54.9812039Z del arg2_1 2022-11-23T01:37:54.9812104Z del arg3_1 2022-11-23T01:37:54.9812173Z return (buf0, ) 2022-11-23T01:37:54.9812177Z 2022-11-23T01:37:54.9812181Z 2022-11-23T01:37:54.9812256Z if __name__ == "__main__": 2022-11-23T01:37:54.9812367Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.9812487Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.9812690Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9812888Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9813117Z arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9813323Z arg3_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9813451Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1])) 2022-11-23T01:37:54.9813456Z 2022-11-23T01:37:54.9813462Z 2022-11-23T01:37:54.9813554Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.9813623Z import torch 2022-11-23T01:37:54.9813693Z import random 2022-11-23T01:37:54.9813806Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.9813924Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.9813928Z 2022-11-23T01:37:54.9813993Z aten = torch.ops.aten 2022-11-23T01:37:54.9814124Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.9814214Z async_compile = AsyncCompile() 2022-11-23T01:37:54.9814219Z 2022-11-23T01:37:54.9814225Z 2022-11-23T01:37:54.9814311Z async_compile.wait(globals()) 2022-11-23T01:37:54.9814383Z del async_compile 2022-11-23T01:37:54.9814387Z 2022-11-23T01:37:54.9814456Z def call(args): 2022-11-23T01:37:54.9814536Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:54.9814603Z args.clear() 2022-11-23T01:37:54.9814818Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'sub') 2022-11-23T01:37:54.9814884Z del arg0_1 2022-11-23T01:37:54.9814950Z del arg1_1 2022-11-23T01:37:54.9815013Z del arg2_1 2022-11-23T01:37:54.9815082Z return (buf0, ) 2022-11-23T01:37:54.9815087Z 2022-11-23T01:37:54.9815091Z 2022-11-23T01:37:54.9815164Z if __name__ == "__main__": 2022-11-23T01:37:54.9815274Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.9815382Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.9815582Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9815794Z arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9816002Z arg2_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9816123Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:54.9816128Z 2022-11-23T01:37:54.9816132Z 2022-11-23T01:37:54.9816225Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.9816294Z import torch 2022-11-23T01:37:54.9816362Z import random 2022-11-23T01:37:54.9816462Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.9816578Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.9816584Z 2022-11-23T01:37:54.9816659Z aten = torch.ops.aten 2022-11-23T01:37:54.9816789Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.9816876Z async_compile = AsyncCompile() 2022-11-23T01:37:54.9816881Z 2022-11-23T01:37:54.9816885Z 2022-11-23T01:37:54.9816969Z async_compile.wait(globals()) 2022-11-23T01:37:54.9817041Z del async_compile 2022-11-23T01:37:54.9817046Z 2022-11-23T01:37:54.9817114Z def call(args): 2022-11-23T01:37:54.9817189Z arg0_1, arg1_1, arg2_1, arg3_1 = args 2022-11-23T01:37:54.9817257Z args.clear() 2022-11-23T01:37:54.9817487Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'sub') 2022-11-23T01:37:54.9817554Z del arg0_1 2022-11-23T01:37:54.9817650Z del arg1_1 2022-11-23T01:37:54.9817716Z del arg2_1 2022-11-23T01:37:54.9817780Z del arg3_1 2022-11-23T01:37:54.9817837Z return (buf0, ) 2022-11-23T01:37:54.9817842Z 2022-11-23T01:37:54.9817857Z 2022-11-23T01:37:54.9817919Z if __name__ == "__main__": 2022-11-23T01:37:54.9818032Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.9818151Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.9818355Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9818553Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9818925Z arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9819179Z arg3_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9819294Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1])) 2022-11-23T01:37:54.9819311Z 2022-11-23T01:37:54.9819318Z 2022-11-23T01:37:54.9819398Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.9819466Z import torch 2022-11-23T01:37:54.9819535Z import random 2022-11-23T01:37:54.9819648Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.9819767Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.9819772Z 2022-11-23T01:37:54.9819849Z aten = torch.ops.aten 2022-11-23T01:37:54.9819980Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.9820058Z async_compile = AsyncCompile() 2022-11-23T01:37:54.9820062Z 2022-11-23T01:37:54.9820081Z 2022-11-23T01:37:54.9820155Z async_compile.wait(globals()) 2022-11-23T01:37:54.9820225Z del async_compile 2022-11-23T01:37:54.9820230Z 2022-11-23T01:37:54.9820298Z def call(args): 2022-11-23T01:37:54.9820378Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:54.9820449Z args.clear() 2022-11-23T01:37:54.9820680Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'sub') 2022-11-23T01:37:54.9820748Z del arg0_1 2022-11-23T01:37:54.9820803Z del arg1_1 2022-11-23T01:37:54.9820867Z del arg2_1 2022-11-23T01:37:54.9820937Z return (buf0, ) 2022-11-23T01:37:54.9820943Z 2022-11-23T01:37:54.9820946Z 2022-11-23T01:37:54.9821020Z if __name__ == "__main__": 2022-11-23T01:37:54.9821135Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.9821255Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.9821457Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9821645Z arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9821847Z arg2_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9821968Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:54.9822344Z [2022-11-23 01:33:04,523] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ic/cicgnqram4mzor3ymq65bs7z6ybekobxrro4yqr4d34x5cvjat6r.py 2022-11-23T01:37:54.9822610Z [2022-11-23 01:33:04,523] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 242 2022-11-23T01:37:54.9822851Z [2022-11-23 01:33:04,526] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.9823124Z [2022-11-23 01:33:04,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.9823346Z [2022-11-23 01:33:04,526] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.9823593Z [2022-11-23 01:33:04,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.9823860Z [2022-11-23 01:33:04,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.9824231Z [2022-11-23 01:33:04,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.9824570Z [2022-11-23 01:33:04,527] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.9824668Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9824764Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:37:54.9824854Z 4 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9824942Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9825032Z 8 STORE_FAST 1 (x) 2022-11-23T01:37:54.9825073Z 2022-11-23T01:37:54.9825166Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9825249Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:37:54.9825336Z 14 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9825421Z 16 LOAD_FAST 2 (y) 2022-11-23T01:37:54.9825509Z 18 CALL_METHOD 2 2022-11-23T01:37:54.9825595Z 20 STORE_FAST 1 (x) 2022-11-23T01:37:54.9825599Z 2022-11-23T01:37:54.9825686Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9825761Z 24 RETURN_VALUE 2022-11-23T01:37:54.9825809Z 2022-11-23T01:37:54.9825813Z 2022-11-23T01:37:54.9826085Z [2022-11-23 01:33:04,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630 2022-11-23T01:37:54.9826301Z [2022-11-23 01:33:04,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9826556Z [2022-11-23 01:33:04,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:37:54.9826802Z [2022-11-23 01:33:04,527] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:37:54.9827083Z [2022-11-23 01:33:04,528] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:37:54.9827325Z [2022-11-23 01:33:04,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9827591Z [2022-11-23 01:33:04,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631 2022-11-23T01:37:54.9827805Z [2022-11-23 01:33:04,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9828043Z [2022-11-23 01:33:04,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:37:54.9828379Z [2022-11-23 01:33:04,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:37:54.9828661Z [2022-11-23 01:33:04,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:37:54.9828976Z [2022-11-23 01:33:04,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9829313Z [2022-11-23 01:33:04,536] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd237230b70, file "inductor/test_torchinductor.py", line 112> 2022-11-23T01:37:54.9829405Z 112 0 LOAD_FAST 0 (x) 2022-11-23T01:37:54.9829498Z 2 LOAD_METHOD 0 (sub_) 2022-11-23T01:37:54.9829588Z 4 LOAD_FAST 1 (y) 2022-11-23T01:37:54.9829676Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9829739Z 8 RETURN_VALUE 2022-11-23T01:37:54.9829799Z 2022-11-23T01:37:54.9829804Z 2022-11-23T01:37:54.9830017Z [2022-11-23 01:33:04,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9830260Z [2022-11-23 01:33:04,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub_ [TensorVariable()] 2022-11-23T01:37:54.9830535Z [2022-11-23 01:33:04,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), sub_)] 2022-11-23T01:37:54.9830888Z [2022-11-23 01:33:04,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sub_), TensorVariable()] 2022-11-23T01:37:54.9831139Z [2022-11-23 01:33:04,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9831476Z [2022-11-23 01:33:04,537] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd237230b70, file "inductor/test_torchinductor.py", line 112> 2022-11-23T01:37:54.9831720Z [2022-11-23 01:33:04,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9832010Z [2022-11-23 01:33:04,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632 2022-11-23T01:37:54.9832221Z [2022-11-23 01:33:04,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9832471Z [2022-11-23 01:33:04,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9832809Z [2022-11-23 01:33:04,537] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.9833061Z [2022-11-23 01:33:04,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9833300Z [2022-11-23 01:33:04,537] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.9833555Z [2022-11-23 01:33:04,538] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.9833809Z [2022-11-23 01:33:04,549] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.9834001Z [2022-11-23 01:33:04,549] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.9834122Z __compiled_fn_250 .2086 opcode, name, target, args, kwargs 2022-11-23T01:37:54.9834215Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.9834302Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.9834425Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:37:54.9834534Z output, output, output, ((model_linear,),), {} 2022-11-23T01:37:54.9834539Z 2022-11-23T01:37:54.9834821Z [2022-11-23 01:33:04,550] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9834920Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.9835012Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9835093Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.9835184Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.9835265Z 8 RETURN_VALUE 2022-11-23T01:37:54.9835270Z 2022-11-23T01:37:54.9835332Z 2022-11-23T01:37:54.9835611Z [2022-11-23 01:33:04,550] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9835722Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_250) 2022-11-23T01:37:54.9835815Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9835906Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9835969Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.9836058Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9836147Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.9836224Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.9836314Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.9836405Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.9842722Z 18 RETURN_VALUE 2022-11-23T01:37:54.9842734Z 2022-11-23T01:37:54.9842812Z 2022-11-23T01:37:54.9843042Z [2022-11-23 01:33:04,550] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.9843101Z - 2022-11-23T01:37:54.9843226Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.9843291Z { 2022-11-23T01:37:54.9843515Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.9843715Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.9843842Z 'obj_weakref': None 2022-11-23T01:37:54.9844073Z 'guarded_class': 2022-11-23T01:37:54.9844127Z } 2022-11-23T01:37:54.9844191Z 2022-11-23T01:37:54.9844262Z - 2022-11-23T01:37:54.9844393Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.9844459Z { 2022-11-23T01:37:54.9844649Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9844760Z 'code': None, 2022-11-23T01:37:54.9844965Z 'obj_weakref': 2022-11-23T01:37:54.9845223Z 'guarded_class': 2022-11-23T01:37:54.9845291Z } 2022-11-23T01:37:54.9845356Z 2022-11-23T01:37:54.9845428Z - 2022-11-23T01:37:54.9845555Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.9845618Z { 2022-11-23T01:37:54.9845751Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9845858Z 'code': None, 2022-11-23T01:37:54.9846073Z 'obj_weakref': 2022-11-23T01:37:54.9846329Z 'guarded_class': 2022-11-23T01:37:54.9846397Z } 2022-11-23T01:37:54.9846464Z 2022-11-23T01:37:54.9846534Z - 2022-11-23T01:37:54.9846645Z local 'model' NN_MODULE 2022-11-23T01:37:54.9846709Z { 2022-11-23T01:37:54.9846847Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.9847021Z 'code': ['___check_obj_id(model, 140538439888208)'], 2022-11-23T01:37:54.9847229Z 'obj_weakref': 2022-11-23T01:37:54.9847449Z 'guarded_class': 2022-11-23T01:37:54.9847515Z } 2022-11-23T01:37:54.9847564Z 2022-11-23T01:37:54.9847633Z - 2022-11-23T01:37:54.9847758Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.9847820Z { 2022-11-23T01:37:54.9847960Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.9848183Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.9848307Z 'obj_weakref': None 2022-11-23T01:37:54.9848517Z 'guarded_class': 2022-11-23T01:37:54.9848581Z } 2022-11-23T01:37:54.9848644Z 2022-11-23T01:37:54.9848715Z - 2022-11-23T01:37:54.9848876Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:37:54.9848939Z { 2022-11-23T01:37:54.9849061Z 'guard_types': None, 2022-11-23T01:37:54.9849157Z 'code': None, 2022-11-23T01:37:54.9849275Z 'obj_weakref': None 2022-11-23T01:37:54.9849398Z 'guarded_class': None 2022-11-23T01:37:54.9849461Z } 2022-11-23T01:37:54.9849525Z 2022-11-23T01:37:54.9849594Z - 2022-11-23T01:37:54.9849751Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:37:54.9849816Z { 2022-11-23T01:37:54.9849933Z 'guard_types': None, 2022-11-23T01:37:54.9850046Z 'code': None, 2022-11-23T01:37:54.9850164Z 'obj_weakref': None 2022-11-23T01:37:54.9850287Z 'guarded_class': None 2022-11-23T01:37:54.9850349Z } 2022-11-23T01:37:54.9850398Z 2022-11-23T01:37:54.9850698Z [2022-11-23 01:33:04,561] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 243 2022-11-23T01:37:54.9851076Z [2022-11-23 01:33:04,563] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/f3/cf3eqd3msmj3bq564ngjpk4olpvvhlwz2njv4qdvwlnfjplm42qw.py 2022-11-23T01:37:54.9851346Z [2022-11-23 01:33:04,563] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 243 2022-11-23T01:37:54.9851586Z [2022-11-23 01:33:04,566] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.9851858Z [2022-11-23 01:33:04,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.9852111Z [2022-11-23 01:33:04,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.9852355Z [2022-11-23 01:33:04,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.9852638Z [2022-11-23 01:33:04,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.9852946Z [2022-11-23 01:33:04,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.9853281Z [2022-11-23 01:33:04,567] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.9853377Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9853472Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:37:54.9853562Z 4 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9853655Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9853745Z 8 STORE_FAST 1 (x) 2022-11-23T01:37:54.9853751Z 2022-11-23T01:37:54.9853842Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9853937Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:37:54.9854015Z 14 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9854103Z 16 LOAD_FAST 2 (y) 2022-11-23T01:37:54.9854191Z 18 CALL_METHOD 2 2022-11-23T01:37:54.9854280Z 20 STORE_FAST 1 (x) 2022-11-23T01:37:54.9854285Z 2022-11-23T01:37:54.9854371Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9854447Z 24 RETURN_VALUE 2022-11-23T01:37:54.9854507Z 2022-11-23T01:37:54.9854512Z 2022-11-23T01:37:54.9854770Z [2022-11-23 01:33:04,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630 2022-11-23T01:37:54.9854991Z [2022-11-23 01:33:04,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9855242Z [2022-11-23 01:33:04,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:37:54.9855489Z [2022-11-23 01:33:04,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:37:54.9855769Z [2022-11-23 01:33:04,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:37:54.9856013Z [2022-11-23 01:33:04,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9856282Z [2022-11-23 01:33:04,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631 2022-11-23T01:37:54.9856498Z [2022-11-23 01:33:04,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9856751Z [2022-11-23 01:33:04,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:37:54.9856994Z [2022-11-23 01:33:04,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:37:54.9857275Z [2022-11-23 01:33:04,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:37:54.9857623Z [2022-11-23 01:33:04,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9857962Z [2022-11-23 01:33:04,571] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd237230b70, file "inductor/test_torchinductor.py", line 112> 2022-11-23T01:37:54.9858054Z 112 0 LOAD_FAST 0 (x) 2022-11-23T01:37:54.9858148Z 2 LOAD_METHOD 0 (sub_) 2022-11-23T01:37:54.9858237Z 4 LOAD_FAST 1 (y) 2022-11-23T01:37:54.9858324Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9858452Z 8 RETURN_VALUE 2022-11-23T01:37:54.9858500Z 2022-11-23T01:37:54.9858505Z 2022-11-23T01:37:54.9858719Z [2022-11-23 01:33:04,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9859213Z [2022-11-23 01:33:04,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub_ [TensorVariable()] 2022-11-23T01:37:54.9859498Z [2022-11-23 01:33:04,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), sub_)] 2022-11-23T01:37:54.9859810Z [2022-11-23 01:33:04,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sub_), TensorVariable()] 2022-11-23T01:37:54.9860060Z [2022-11-23 01:33:04,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9860405Z [2022-11-23 01:33:04,572] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd237230b70, file "inductor/test_torchinductor.py", line 112> 2022-11-23T01:37:54.9860652Z [2022-11-23 01:33:04,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9860921Z [2022-11-23 01:33:04,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632 2022-11-23T01:37:54.9861123Z [2022-11-23 01:33:04,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9861374Z [2022-11-23 01:33:04,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9861712Z [2022-11-23 01:33:04,572] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.9861963Z [2022-11-23 01:33:04,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9862201Z [2022-11-23 01:33:04,572] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.9862462Z [2022-11-23 01:33:04,573] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.9862715Z [2022-11-23 01:33:04,579] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.9862907Z [2022-11-23 01:33:04,579] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.9863046Z __compiled_fn_251 .2097 opcode, name, target, args, kwargs 2022-11-23T01:37:54.9863124Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.9863211Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.9863332Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:37:54.9863441Z output, output, output, ((model_linear,),), {} 2022-11-23T01:37:54.9863447Z 2022-11-23T01:37:54.9863725Z [2022-11-23 01:33:04,580] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9863819Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.9863913Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9864008Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.9864084Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.9864159Z 8 RETURN_VALUE 2022-11-23T01:37:54.9864165Z 2022-11-23T01:37:54.9864225Z 2022-11-23T01:37:54.9864568Z [2022-11-23 01:33:04,580] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9864680Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_251) 2022-11-23T01:37:54.9864769Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9864858Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9864922Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.9865011Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9865098Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.9865212Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.9865300Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.9865391Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.9865469Z 18 RETURN_VALUE 2022-11-23T01:37:54.9865474Z 2022-11-23T01:37:54.9865533Z 2022-11-23T01:37:54.9865710Z [2022-11-23 01:33:04,580] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.9865784Z - 2022-11-23T01:37:54.9865908Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.9865973Z { 2022-11-23T01:37:54.9866117Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.9866308Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.9866431Z 'obj_weakref': None 2022-11-23T01:37:54.9866646Z 'guarded_class': 2022-11-23T01:37:54.9866712Z } 2022-11-23T01:37:54.9866774Z 2022-11-23T01:37:54.9866847Z - 2022-11-23T01:37:54.9866975Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.9867037Z { 2022-11-23T01:37:54.9867181Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9867279Z 'code': None, 2022-11-23T01:37:54.9867494Z 'obj_weakref': 2022-11-23T01:37:54.9867752Z 'guarded_class': 2022-11-23T01:37:54.9867817Z } 2022-11-23T01:37:54.9867879Z 2022-11-23T01:37:54.9867949Z - 2022-11-23T01:37:54.9868074Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.9868205Z { 2022-11-23T01:37:54.9868359Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9868470Z 'code': None, 2022-11-23T01:37:54.9868685Z 'obj_weakref': 2022-11-23T01:37:54.9868945Z 'guarded_class': 2022-11-23T01:37:54.9869010Z } 2022-11-23T01:37:54.9869073Z 2022-11-23T01:37:54.9869131Z - 2022-11-23T01:37:54.9869252Z local 'model' NN_MODULE 2022-11-23T01:37:54.9869316Z { 2022-11-23T01:37:54.9869454Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.9869628Z 'code': ['___check_obj_id(model, 140538730905168)'], 2022-11-23T01:37:54.9869838Z 'obj_weakref': 2022-11-23T01:37:54.9870057Z 'guarded_class': 2022-11-23T01:37:54.9870108Z } 2022-11-23T01:37:54.9870171Z 2022-11-23T01:37:54.9870242Z - 2022-11-23T01:37:54.9870367Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.9870430Z { 2022-11-23T01:37:54.9870569Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.9870795Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.9870902Z 'obj_weakref': None 2022-11-23T01:37:54.9871126Z 'guarded_class': 2022-11-23T01:37:54.9871190Z } 2022-11-23T01:37:54.9871289Z 2022-11-23T01:37:54.9871361Z - 2022-11-23T01:37:54.9871522Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:37:54.9871585Z { 2022-11-23T01:37:54.9871695Z 'guard_types': None, 2022-11-23T01:37:54.9871802Z 'code': None, 2022-11-23T01:37:54.9871922Z 'obj_weakref': None 2022-11-23T01:37:54.9872046Z 'guarded_class': None 2022-11-23T01:37:54.9872108Z } 2022-11-23T01:37:54.9872172Z 2022-11-23T01:37:54.9872229Z - 2022-11-23T01:37:54.9872397Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:37:54.9872531Z { 2022-11-23T01:37:54.9872655Z 'guard_types': None, 2022-11-23T01:37:54.9872765Z 'code': None, 2022-11-23T01:37:54.9872884Z 'obj_weakref': None 2022-11-23T01:37:54.9873010Z 'guarded_class': None 2022-11-23T01:37:54.9873060Z } 2022-11-23T01:37:54.9873124Z 2022-11-23T01:37:54.9873389Z [2022-11-23 01:33:04,591] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 244 2022-11-23T01:37:54.9873767Z [2022-11-23 01:33:04,592] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rb/crbcjemi2wc6kam6umwpfe764xupet7copjox5doiiy3rkgjpemq.py 2022-11-23T01:37:54.9874038Z [2022-11-23 01:33:04,592] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 244 2022-11-23T01:37:54.9874279Z [2022-11-23 01:33:04,596] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.9874558Z [2022-11-23 01:33:04,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.9874776Z [2022-11-23 01:33:04,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.9875023Z [2022-11-23 01:33:04,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.9875290Z [2022-11-23 01:33:04,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.9875606Z [2022-11-23 01:33:04,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.9875942Z [2022-11-23 01:33:04,596] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.9876040Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9876139Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:37:54.9876229Z 4 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9876317Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9876407Z 8 STORE_FAST 1 (x) 2022-11-23T01:37:54.9876413Z 2022-11-23T01:37:54.9876492Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9876586Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:37:54.9876681Z 14 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9876767Z 16 LOAD_FAST 2 (y) 2022-11-23T01:37:54.9876852Z 18 CALL_METHOD 2 2022-11-23T01:37:54.9876938Z 20 STORE_FAST 1 (x) 2022-11-23T01:37:54.9876943Z 2022-11-23T01:37:54.9877016Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9877091Z 24 RETURN_VALUE 2022-11-23T01:37:54.9877150Z 2022-11-23T01:37:54.9877157Z 2022-11-23T01:37:54.9877431Z [2022-11-23 01:33:04,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630 2022-11-23T01:37:54.9877647Z [2022-11-23 01:33:04,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9877928Z [2022-11-23 01:33:04,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:37:54.9878175Z [2022-11-23 01:33:04,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:37:54.9878452Z [2022-11-23 01:33:04,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:37:54.9878681Z [2022-11-23 01:33:04,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9878950Z [2022-11-23 01:33:04,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631 2022-11-23T01:37:54.9879163Z [2022-11-23 01:33:04,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9879448Z [2022-11-23 01:33:04,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:37:54.9879700Z [2022-11-23 01:33:04,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:37:54.9879982Z [2022-11-23 01:33:04,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:37:54.9880299Z [2022-11-23 01:33:04,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9880631Z [2022-11-23 01:33:04,605] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd237230b70, file "inductor/test_torchinductor.py", line 112> 2022-11-23T01:37:54.9880724Z 112 0 LOAD_FAST 0 (x) 2022-11-23T01:37:54.9880817Z 2 LOAD_METHOD 0 (sub_) 2022-11-23T01:37:54.9880899Z 4 LOAD_FAST 1 (y) 2022-11-23T01:37:54.9880987Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9881064Z 8 RETURN_VALUE 2022-11-23T01:37:54.9881124Z 2022-11-23T01:37:54.9881129Z 2022-11-23T01:37:54.9881340Z [2022-11-23 01:33:04,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9881590Z [2022-11-23 01:33:04,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub_ [TensorVariable()] 2022-11-23T01:37:54.9881868Z [2022-11-23 01:33:04,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), sub_)] 2022-11-23T01:37:54.9882178Z [2022-11-23 01:33:04,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sub_), TensorVariable()] 2022-11-23T01:37:54.9882413Z [2022-11-23 01:33:04,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9882758Z [2022-11-23 01:33:04,606] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd237230b70, file "inductor/test_torchinductor.py", line 112> 2022-11-23T01:37:54.9883003Z [2022-11-23 01:33:04,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9883276Z [2022-11-23 01:33:04,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632 2022-11-23T01:37:54.9883491Z [2022-11-23 01:33:04,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9883742Z [2022-11-23 01:33:04,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9884081Z [2022-11-23 01:33:04,606] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.9884333Z [2022-11-23 01:33:04,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9884576Z [2022-11-23 01:33:04,606] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.9884835Z [2022-11-23 01:33:04,607] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.9885104Z [2022-11-23 01:33:04,617] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.9885305Z [2022-11-23 01:33:04,618] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.9885441Z __compiled_fn_252 .2108 opcode, name, target, args, kwargs 2022-11-23T01:37:54.9885531Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.9885619Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.9885743Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:37:54.9885853Z output, output, output, ((model_linear,),), {} 2022-11-23T01:37:54.9885858Z 2022-11-23T01:37:54.9886136Z [2022-11-23 01:33:04,618] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9886255Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.9886350Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9886444Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.9886539Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.9886616Z 8 RETURN_VALUE 2022-11-23T01:37:54.9886622Z 2022-11-23T01:37:54.9886683Z 2022-11-23T01:37:54.9886964Z [2022-11-23 01:33:04,618] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9887062Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_252) 2022-11-23T01:37:54.9887152Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9887241Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9887319Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.9887407Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9887499Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.9887575Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.9887650Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.9887743Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.9887819Z 18 RETURN_VALUE 2022-11-23T01:37:54.9887826Z 2022-11-23T01:37:54.9887888Z 2022-11-23T01:37:54.9888075Z [2022-11-23 01:33:04,619] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.9888150Z - 2022-11-23T01:37:54.9888272Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.9888337Z { 2022-11-23T01:37:54.9888472Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.9888664Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.9888787Z 'obj_weakref': None 2022-11-23T01:37:54.9889015Z 'guarded_class': 2022-11-23T01:37:54.9889083Z } 2022-11-23T01:37:54.9889147Z 2022-11-23T01:37:54.9889219Z - 2022-11-23T01:37:54.9889333Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.9889401Z { 2022-11-23T01:37:54.9889548Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9889659Z 'code': None, 2022-11-23T01:37:54.9889877Z 'obj_weakref': 2022-11-23T01:37:54.9890137Z 'guarded_class': 2022-11-23T01:37:54.9890200Z } 2022-11-23T01:37:54.9890250Z 2022-11-23T01:37:54.9890318Z - 2022-11-23T01:37:54.9890441Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.9890507Z { 2022-11-23T01:37:54.9890649Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9890757Z 'code': None, 2022-11-23T01:37:54.9890973Z 'obj_weakref': 2022-11-23T01:37:54.9891215Z 'guarded_class': 2022-11-23T01:37:54.9891280Z } 2022-11-23T01:37:54.9891341Z 2022-11-23T01:37:54.9891411Z - 2022-11-23T01:37:54.9891560Z local 'model' NN_MODULE 2022-11-23T01:37:54.9891624Z { 2022-11-23T01:37:54.9891763Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.9891922Z 'code': ['___check_obj_id(model, 140538441225424)'], 2022-11-23T01:37:54.9892126Z 'obj_weakref': 2022-11-23T01:37:54.9892343Z 'guarded_class': 2022-11-23T01:37:54.9892410Z } 2022-11-23T01:37:54.9892470Z 2022-11-23T01:37:54.9892539Z - 2022-11-23T01:37:54.9892696Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.9892746Z { 2022-11-23T01:37:54.9892882Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.9893103Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.9893224Z 'obj_weakref': None 2022-11-23T01:37:54.9893449Z 'guarded_class': 2022-11-23T01:37:54.9893513Z } 2022-11-23T01:37:54.9893574Z 2022-11-23T01:37:54.9893631Z - 2022-11-23T01:37:54.9893789Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:37:54.9893850Z { 2022-11-23T01:37:54.9893972Z 'guard_types': None, 2022-11-23T01:37:54.9894078Z 'code': None, 2022-11-23T01:37:54.9894197Z 'obj_weakref': None 2022-11-23T01:37:54.9894319Z 'guarded_class': None 2022-11-23T01:37:54.9894372Z } 2022-11-23T01:37:54.9894434Z 2022-11-23T01:37:54.9894503Z - 2022-11-23T01:37:54.9894673Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:37:54.9894735Z { 2022-11-23T01:37:54.9894855Z 'guard_types': None, 2022-11-23T01:37:54.9894951Z 'code': None, 2022-11-23T01:37:54.9895069Z 'obj_weakref': None 2022-11-23T01:37:54.9895191Z 'guarded_class': None 2022-11-23T01:37:54.9895255Z } 2022-11-23T01:37:54.9895317Z 2022-11-23T01:37:54.9895580Z [2022-11-23 01:33:04,629] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 245 2022-11-23T01:37:54.9895945Z [2022-11-23 01:33:04,631] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ym/cymgcgjn7c53piksz5xz4fqi66c7lml2y47buak4byhycrahntlt.py 2022-11-23T01:37:54.9896214Z [2022-11-23 01:33:04,631] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 245 2022-11-23T01:37:54.9896444Z [2022-11-23 01:33:04,634] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.9896712Z [2022-11-23 01:33:04,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.9896935Z [2022-11-23 01:33:04,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.9897181Z [2022-11-23 01:33:04,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.9897463Z [2022-11-23 01:33:04,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.9897780Z [2022-11-23 01:33:04,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.9898113Z [2022-11-23 01:33:04,635] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:54.9898210Z 1630 0 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9898303Z 2 LOAD_METHOD 0 (linear) 2022-11-23T01:37:54.9898380Z 4 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9898469Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9898588Z 8 STORE_FAST 1 (x) 2022-11-23T01:37:54.9898594Z 2022-11-23T01:37:54.9898688Z 1631 10 LOAD_FAST 0 (self) 2022-11-23T01:37:54.9898948Z 12 LOAD_METHOD 1 (eltwise) 2022-11-23T01:37:54.9899088Z 14 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9899181Z 16 LOAD_FAST 2 (y) 2022-11-23T01:37:54.9899268Z 18 CALL_METHOD 2 2022-11-23T01:37:54.9899344Z 20 STORE_FAST 1 (x) 2022-11-23T01:37:54.9899348Z 2022-11-23T01:37:54.9899432Z 1632 22 LOAD_FAST 1 (x) 2022-11-23T01:37:54.9899567Z 24 RETURN_VALUE 2022-11-23T01:37:54.9899628Z 2022-11-23T01:37:54.9899632Z 2022-11-23T01:37:54.9899915Z [2022-11-23 01:33:04,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1630 2022-11-23T01:37:54.9900135Z [2022-11-23 01:33:04,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9900389Z [2022-11-23 01:33:04,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linear [NNModuleVariable()] 2022-11-23T01:37:54.9900636Z [2022-11-23 01:33:04,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:37:54.9900901Z [2022-11-23 01:33:04,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:37:54.9901144Z [2022-11-23 01:33:04,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9901413Z [2022-11-23 01:33:04,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1631 2022-11-23T01:37:54.9901631Z [2022-11-23 01:33:04,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST self [] 2022-11-23T01:37:54.9901884Z [2022-11-23 01:33:04,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR eltwise [NNModuleVariable()] 2022-11-23T01:37:54.9902140Z [2022-11-23 01:33:04,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [UserFunctionVariable()] 2022-11-23T01:37:54.9902422Z [2022-11-23 01:33:04,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:37:54.9902738Z [2022-11-23 01:33:04,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [UserFunctionVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:54.9903075Z [2022-11-23 01:33:04,638] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd237230b70, file "inductor/test_torchinductor.py", line 112> 2022-11-23T01:37:54.9903167Z 112 0 LOAD_FAST 0 (x) 2022-11-23T01:37:54.9903248Z 2 LOAD_METHOD 0 (sub_) 2022-11-23T01:37:54.9903336Z 4 LOAD_FAST 1 (y) 2022-11-23T01:37:54.9903423Z 6 CALL_METHOD 1 2022-11-23T01:37:54.9903498Z 8 RETURN_VALUE 2022-11-23T01:37:54.9903557Z 2022-11-23T01:37:54.9903564Z 2022-11-23T01:37:54.9903776Z [2022-11-23 01:33:04,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9904021Z [2022-11-23 01:33:04,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub_ [TensorVariable()] 2022-11-23T01:37:54.9904283Z [2022-11-23 01:33:04,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [GetAttrVariable(TensorVariable(), sub_)] 2022-11-23T01:37:54.9904592Z [2022-11-23 01:33:04,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sub_), TensorVariable()] 2022-11-23T01:37:54.9904842Z [2022-11-23 01:33:04,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9905181Z [2022-11-23 01:33:04,639] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd237230b70, file "inductor/test_torchinductor.py", line 112> 2022-11-23T01:37:54.9905461Z [2022-11-23 01:33:04,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:54.9905733Z [2022-11-23 01:33:04,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1632 2022-11-23T01:37:54.9905944Z [2022-11-23 01:33:04,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:54.9906190Z [2022-11-23 01:33:04,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9906529Z [2022-11-23 01:33:04,640] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:54.9906827Z [2022-11-23 01:33:04,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9907054Z [2022-11-23 01:33:04,640] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.9907315Z [2022-11-23 01:33:04,640] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.9907567Z [2022-11-23 01:33:04,646] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.9907761Z [2022-11-23 01:33:04,646] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.9907895Z __compiled_fn_253 .2119 opcode, name, target, args, kwargs 2022-11-23T01:37:54.9907984Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.9908071Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:54.9908302Z call_module, model_linear, model_linear, (ex_0_, ex_1_), {} 2022-11-23T01:37:54.9908406Z output, output, output, ((model_linear,),), {} 2022-11-23T01:37:54.9908411Z 2022-11-23T01:37:54.9908694Z [2022-11-23 01:33:04,647] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9908790Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.9908881Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9908976Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.9909066Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.9909144Z 8 RETURN_VALUE 2022-11-23T01:37:54.9909149Z 2022-11-23T01:37:54.9909208Z 2022-11-23T01:37:54.9909470Z [2022-11-23 01:33:04,647] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9909583Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_253) 2022-11-23T01:37:54.9909674Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9909766Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9909841Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.9909929Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9910017Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:54.9910079Z 12 BINARY_SUBSCR 2022-11-23T01:37:54.9910170Z 14 CALL_FUNCTION 2 2022-11-23T01:37:54.9910262Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.9910339Z 18 RETURN_VALUE 2022-11-23T01:37:54.9910344Z 2022-11-23T01:37:54.9910402Z 2022-11-23T01:37:54.9910588Z [2022-11-23 01:33:04,647] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.9910659Z - 2022-11-23T01:37:54.9910779Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.9910832Z { 2022-11-23T01:37:54.9910975Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.9911164Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:54.9911288Z 'obj_weakref': None 2022-11-23T01:37:54.9911515Z 'guarded_class': 2022-11-23T01:37:54.9911579Z } 2022-11-23T01:37:54.9911639Z 2022-11-23T01:37:54.9911697Z - 2022-11-23T01:37:54.9911822Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.9911884Z { 2022-11-23T01:37:54.9912068Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9912178Z 'code': None, 2022-11-23T01:37:54.9912393Z 'obj_weakref': 2022-11-23T01:37:54.9912648Z 'guarded_class': 2022-11-23T01:37:54.9912700Z } 2022-11-23T01:37:54.9912762Z 2022-11-23T01:37:54.9912832Z - 2022-11-23T01:37:54.9912957Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:54.9913018Z { 2022-11-23T01:37:54.9913194Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9913290Z 'code': None, 2022-11-23T01:37:54.9913504Z 'obj_weakref': 2022-11-23T01:37:54.9913760Z 'guarded_class': 2022-11-23T01:37:54.9913825Z } 2022-11-23T01:37:54.9913890Z 2022-11-23T01:37:54.9913962Z - 2022-11-23T01:37:54.9914087Z local 'model' NN_MODULE 2022-11-23T01:37:54.9914150Z { 2022-11-23T01:37:54.9914271Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.9914441Z 'code': ['___check_obj_id(model, 140538745573264)'], 2022-11-23T01:37:54.9914647Z 'obj_weakref': 2022-11-23T01:37:54.9914869Z 'guarded_class': 2022-11-23T01:37:54.9914936Z } 2022-11-23T01:37:54.9914998Z 2022-11-23T01:37:54.9915068Z - 2022-11-23T01:37:54.9915179Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.9915240Z { 2022-11-23T01:37:54.9915377Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.9915601Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.9915722Z 'obj_weakref': None 2022-11-23T01:37:54.9915943Z 'guarded_class': 2022-11-23T01:37:54.9916007Z } 2022-11-23T01:37:54.9916058Z 2022-11-23T01:37:54.9916127Z - 2022-11-23T01:37:54.9916284Z local_nn_module 'model.linear' NN_MODULE 2022-11-23T01:37:54.9916345Z { 2022-11-23T01:37:54.9916466Z 'guard_types': None, 2022-11-23T01:37:54.9916575Z 'code': None, 2022-11-23T01:37:54.9916699Z 'obj_weakref': None 2022-11-23T01:37:54.9916808Z 'guarded_class': None 2022-11-23T01:37:54.9916870Z } 2022-11-23T01:37:54.9916933Z 2022-11-23T01:37:54.9917001Z - 2022-11-23T01:37:54.9917171Z local_nn_module 'model.eltwise' FUNCTION_MATCH 2022-11-23T01:37:54.9917234Z { 2022-11-23T01:37:54.9917344Z 'guard_types': None, 2022-11-23T01:37:54.9917452Z 'code': None, 2022-11-23T01:37:54.9917569Z 'obj_weakref': None 2022-11-23T01:37:54.9917692Z 'guarded_class': None 2022-11-23T01:37:54.9917754Z } 2022-11-23T01:37:54.9917816Z 2022-11-23T01:37:54.9918079Z [2022-11-23 01:33:04,657] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 246 2022-11-23T01:37:54.9918435Z [2022-11-23 01:33:04,659] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ic/cicgnqram4mzor3ymq65bs7z6ybekobxrro4yqr4d34x5cvjat6r.py 2022-11-23T01:37:54.9918703Z [2022-11-23 01:33:04,659] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 246 2022-11-23T01:37:54.9918709Z 2022-11-23T01:37:54.9918726Z 2022-11-23T01:37:54.9918808Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.9918882Z import torch 2022-11-23T01:37:54.9918952Z import random 2022-11-23T01:37:54.9919095Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.9919218Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.9919223Z 2022-11-23T01:37:54.9919299Z aten = torch.ops.aten 2022-11-23T01:37:54.9919431Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.9919511Z async_compile = AsyncCompile() 2022-11-23T01:37:54.9919516Z 2022-11-23T01:37:54.9919521Z 2022-11-23T01:37:54.9919608Z async_compile.wait(globals()) 2022-11-23T01:37:54.9919678Z del async_compile 2022-11-23T01:37:54.9919683Z 2022-11-23T01:37:54.9919752Z def call(args): 2022-11-23T01:37:54.9919872Z arg0_1, arg1_1, arg2_1, arg3_1 = args 2022-11-23T01:37:54.9919942Z args.clear() 2022-11-23T01:37:54.9920173Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'sub') 2022-11-23T01:37:54.9920229Z del arg0_1 2022-11-23T01:37:54.9920295Z del arg1_1 2022-11-23T01:37:54.9920358Z del arg2_1 2022-11-23T01:37:54.9920421Z del arg3_1 2022-11-23T01:37:54.9920493Z return (buf0, ) 2022-11-23T01:37:54.9920499Z 2022-11-23T01:37:54.9920503Z 2022-11-23T01:37:54.9920577Z if __name__ == "__main__": 2022-11-23T01:37:54.9920689Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.9920808Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.9921004Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9921201Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9921408Z arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9921621Z arg3_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9921748Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1])) 2022-11-23T01:37:54.9921754Z 2022-11-23T01:37:54.9921758Z 2022-11-23T01:37:54.9921851Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.9921921Z import torch 2022-11-23T01:37:54.9921991Z import random 2022-11-23T01:37:54.9922092Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.9922210Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.9922215Z 2022-11-23T01:37:54.9922295Z aten = torch.ops.aten 2022-11-23T01:37:54.9922428Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.9922516Z async_compile = AsyncCompile() 2022-11-23T01:37:54.9922520Z 2022-11-23T01:37:54.9922524Z 2022-11-23T01:37:54.9922611Z async_compile.wait(globals()) 2022-11-23T01:37:54.9922682Z del async_compile 2022-11-23T01:37:54.9922690Z 2022-11-23T01:37:54.9922759Z def call(args): 2022-11-23T01:37:54.9922827Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:54.9922895Z args.clear() 2022-11-23T01:37:54.9923121Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'sub') 2022-11-23T01:37:54.9923188Z del arg0_1 2022-11-23T01:37:54.9923256Z del arg1_1 2022-11-23T01:37:54.9923327Z del arg2_1 2022-11-23T01:37:54.9923400Z return (buf0, ) 2022-11-23T01:37:54.9923405Z 2022-11-23T01:37:54.9923410Z 2022-11-23T01:37:54.9923473Z if __name__ == "__main__": 2022-11-23T01:37:54.9923587Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.9923710Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.9923915Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9924126Z arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9924339Z arg2_1 = rand_strided((2, 3, 30), (90, 30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9924468Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:54.9924473Z 2022-11-23T01:37:54.9924477Z 2022-11-23T01:37:54.9924573Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.9924628Z import torch 2022-11-23T01:37:54.9924699Z import random 2022-11-23T01:37:54.9924844Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.9924965Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.9924969Z 2022-11-23T01:37:54.9925047Z aten = torch.ops.aten 2022-11-23T01:37:54.9925180Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.9925272Z async_compile = AsyncCompile() 2022-11-23T01:37:54.9925277Z 2022-11-23T01:37:54.9925281Z 2022-11-23T01:37:54.9925369Z async_compile.wait(globals()) 2022-11-23T01:37:54.9925430Z del async_compile 2022-11-23T01:37:54.9925435Z 2022-11-23T01:37:54.9925506Z def call(args): 2022-11-23T01:37:54.9925640Z arg0_1, arg1_1, arg2_1, arg3_1 = args 2022-11-23T01:37:54.9925711Z args.clear() 2022-11-23T01:37:54.9925944Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg2_1, arg3_1, arg0_1, arg1_1, 'sub') 2022-11-23T01:37:54.9926016Z del arg0_1 2022-11-23T01:37:54.9926083Z del arg1_1 2022-11-23T01:37:54.9926135Z del arg2_1 2022-11-23T01:37:54.9926202Z del arg3_1 2022-11-23T01:37:54.9926277Z return (buf0, ) 2022-11-23T01:37:54.9926282Z 2022-11-23T01:37:54.9926286Z 2022-11-23T01:37:54.9926363Z if __name__ == "__main__": 2022-11-23T01:37:54.9926480Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.9926602Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.9926810Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9927012Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9927202Z arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9927405Z arg3_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9927534Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1])) 2022-11-23T01:37:54.9927539Z 2022-11-23T01:37:54.9927544Z 2022-11-23T01:37:54.9927639Z from ctypes import c_void_p, c_long 2022-11-23T01:37:54.9927712Z import torch 2022-11-23T01:37:54.9927783Z import random 2022-11-23T01:37:54.9927898Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:54.9928020Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:54.9928025Z 2022-11-23T01:37:54.9928090Z aten = torch.ops.aten 2022-11-23T01:37:54.9928221Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:54.9928314Z async_compile = AsyncCompile() 2022-11-23T01:37:54.9928318Z 2022-11-23T01:37:54.9928322Z 2022-11-23T01:37:54.9928411Z async_compile.wait(globals()) 2022-11-23T01:37:54.9928488Z del async_compile 2022-11-23T01:37:54.9928495Z 2022-11-23T01:37:54.9928566Z def call(args): 2022-11-23T01:37:54.9928649Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:54.9928720Z args.clear() 2022-11-23T01:37:54.9928935Z buf0 = torch.ops.mkldnn._linear_pointwise.binary(arg1_1, arg2_1, arg0_1, None, 'sub') 2022-11-23T01:37:54.9929005Z del arg0_1 2022-11-23T01:37:54.9929074Z del arg1_1 2022-11-23T01:37:54.9929144Z del arg2_1 2022-11-23T01:37:54.9929217Z return (buf0, ) 2022-11-23T01:37:54.9929222Z 2022-11-23T01:37:54.9929226Z 2022-11-23T01:37:54.9929303Z if __name__ == "__main__": 2022-11-23T01:37:54.9929415Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:54.9929525Z from torch._inductor.utils import print_performance 2022-11-23T01:37:54.9929729Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9929928Z arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9930129Z arg2_1 = rand_strided((2, 30), (30, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:54.9930252Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:54.9930257Z 2022-11-23T01:37:54.9930324Z ok (1.047s) 2022-11-23T01:37:54.9930640Z test_linear_unary_cpu (__main__.CpuTests) ... [2022-11-23 01:33:04,663] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.9930944Z [2022-11-23 01:33:04,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.9931165Z [2022-11-23 01:33:04,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.9931397Z [2022-11-23 01:33:04,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.9931677Z [2022-11-23 01:33:04,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.9931992Z [2022-11-23 01:33:04,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.9932273Z [2022-11-23 01:33:04,672] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9932513Z [2022-11-23 01:33:04,672] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.9932772Z [2022-11-23 01:33:04,673] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.9933023Z [2022-11-23 01:33:04,684] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.9933216Z [2022-11-23 01:33:04,684] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.9933351Z __compiled_fn_254 .2130 opcode, name, target, args, kwargs 2022-11-23T01:37:54.9933429Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.9933527Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.9933626Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.9933632Z 2022-11-23T01:37:54.9933916Z [2022-11-23 01:33:04,685] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9934011Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.9934102Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9934195Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.9934273Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.9934349Z 8 RETURN_VALUE 2022-11-23T01:37:54.9934353Z 2022-11-23T01:37:54.9934413Z 2022-11-23T01:37:54.9934692Z [2022-11-23 01:33:04,685] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9934801Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_254) 2022-11-23T01:37:54.9934889Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9934981Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9935056Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.9935132Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.9935220Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.9935295Z 12 RETURN_VALUE 2022-11-23T01:37:54.9935300Z 2022-11-23T01:37:54.9935357Z 2022-11-23T01:37:54.9935544Z [2022-11-23 01:33:04,685] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.9935618Z - 2022-11-23T01:37:54.9935738Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.9935791Z { 2022-11-23T01:37:54.9935933Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.9936123Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.9936245Z 'obj_weakref': None 2022-11-23T01:37:54.9936472Z 'guarded_class': 2022-11-23T01:37:54.9936536Z } 2022-11-23T01:37:54.9936600Z 2022-11-23T01:37:54.9936658Z - 2022-11-23T01:37:54.9936784Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.9936846Z { 2022-11-23T01:37:54.9936992Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9937101Z 'code': None, 2022-11-23T01:37:54.9937342Z 'obj_weakref': 2022-11-23T01:37:54.9937600Z 'guarded_class': 2022-11-23T01:37:54.9937652Z } 2022-11-23T01:37:54.9937714Z 2022-11-23T01:37:54.9937784Z - 2022-11-23T01:37:54.9937905Z local 'model' NN_MODULE 2022-11-23T01:37:54.9937967Z { 2022-11-23T01:37:54.9938103Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.9938274Z 'code': ['___check_obj_id(model, 140538745573264)'], 2022-11-23T01:37:54.9938488Z 'obj_weakref': 2022-11-23T01:37:54.9938972Z 'guarded_class': 2022-11-23T01:37:54.9939069Z } 2022-11-23T01:37:54.9939136Z 2022-11-23T01:37:54.9939211Z - 2022-11-23T01:37:54.9939336Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.9939403Z { 2022-11-23T01:37:54.9939530Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.9939751Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.9939873Z 'obj_weakref': None 2022-11-23T01:37:54.9940095Z 'guarded_class': 2022-11-23T01:37:54.9940159Z } 2022-11-23T01:37:54.9940221Z 2022-11-23T01:37:54.9940293Z - 2022-11-23T01:37:54.9940428Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.9940496Z { 2022-11-23T01:37:54.9940617Z 'guard_types': None, 2022-11-23T01:37:54.9940726Z 'code': None, 2022-11-23T01:37:54.9940846Z 'obj_weakref': None 2022-11-23T01:37:54.9940969Z 'guarded_class': None 2022-11-23T01:37:54.9941030Z } 2022-11-23T01:37:54.9941080Z 2022-11-23T01:37:54.9941152Z - 2022-11-23T01:37:54.9941298Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.9941361Z { 2022-11-23T01:37:54.9941482Z 'guard_types': None, 2022-11-23T01:37:54.9941590Z 'code': None, 2022-11-23T01:37:54.9941707Z 'obj_weakref': None 2022-11-23T01:37:54.9941817Z 'guarded_class': None 2022-11-23T01:37:54.9941880Z } 2022-11-23T01:37:54.9941942Z 2022-11-23T01:37:54.9942207Z [2022-11-23 01:33:04,696] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 247 2022-11-23T01:37:54.9942587Z [2022-11-23 01:33:04,698] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xj/cxjrcrndaj5lyefcg6h2ivrkiashvsibsiwxhln6ijhzechr2qy3.py 2022-11-23T01:37:54.9942851Z [2022-11-23 01:33:04,698] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 247 2022-11-23T01:37:54.9943094Z [2022-11-23 01:33:04,701] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.9943362Z [2022-11-23 01:33:04,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.9943568Z [2022-11-23 01:33:04,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.9943811Z [2022-11-23 01:33:04,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.9944090Z [2022-11-23 01:33:04,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.9944410Z [2022-11-23 01:33:04,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.9944658Z [2022-11-23 01:33:04,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9944953Z [2022-11-23 01:33:04,705] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.9945215Z [2022-11-23 01:33:04,705] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.9945467Z [2022-11-23 01:33:04,712] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.9945660Z [2022-11-23 01:33:04,712] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.9945782Z __compiled_fn_255 .2141 opcode, name, target, args, kwargs 2022-11-23T01:37:54.9945871Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.9946012Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.9946112Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.9946118Z 2022-11-23T01:37:54.9946401Z [2022-11-23 01:33:04,712] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9946493Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.9946585Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9946676Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.9946755Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.9946829Z 8 RETURN_VALUE 2022-11-23T01:37:54.9946835Z 2022-11-23T01:37:54.9946895Z 2022-11-23T01:37:54.9947170Z [2022-11-23 01:33:04,713] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9947281Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_255) 2022-11-23T01:37:54.9947372Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9947461Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9947526Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.9947612Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.9947701Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.9947777Z 12 RETURN_VALUE 2022-11-23T01:37:54.9947784Z 2022-11-23T01:37:54.9947843Z 2022-11-23T01:37:54.9948028Z [2022-11-23 01:33:04,713] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.9948182Z - 2022-11-23T01:37:54.9948312Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.9948364Z { 2022-11-23T01:37:54.9948507Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.9948698Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.9948820Z 'obj_weakref': None 2022-11-23T01:37:54.9949046Z 'guarded_class': 2022-11-23T01:37:54.9949112Z } 2022-11-23T01:37:54.9949175Z 2022-11-23T01:37:54.9949232Z - 2022-11-23T01:37:54.9949359Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.9949423Z { 2022-11-23T01:37:54.9949569Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9949678Z 'code': None, 2022-11-23T01:37:54.9949895Z 'obj_weakref': 2022-11-23T01:37:54.9950152Z 'guarded_class': 2022-11-23T01:37:54.9950204Z } 2022-11-23T01:37:54.9950266Z 2022-11-23T01:37:54.9950336Z - 2022-11-23T01:37:54.9950457Z local 'model' NN_MODULE 2022-11-23T01:37:54.9950519Z { 2022-11-23T01:37:54.9950655Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.9950825Z 'code': ['___check_obj_id(model, 140539049247440)'], 2022-11-23T01:37:54.9951039Z 'obj_weakref': 2022-11-23T01:37:54.9951277Z 'guarded_class': 2022-11-23T01:37:54.9951341Z } 2022-11-23T01:37:54.9951403Z 2022-11-23T01:37:54.9951523Z - 2022-11-23T01:37:54.9951650Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.9951713Z { 2022-11-23T01:37:54.9951839Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.9952059Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.9952182Z 'obj_weakref': None 2022-11-23T01:37:54.9952403Z 'guarded_class': 2022-11-23T01:37:54.9952466Z } 2022-11-23T01:37:54.9952527Z 2022-11-23T01:37:54.9952648Z - 2022-11-23T01:37:54.9952785Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.9952847Z { 2022-11-23T01:37:54.9952970Z 'guard_types': None, 2022-11-23T01:37:54.9953078Z 'code': None, 2022-11-23T01:37:54.9953197Z 'obj_weakref': None 2022-11-23T01:37:54.9953319Z 'guarded_class': None 2022-11-23T01:37:54.9953382Z } 2022-11-23T01:37:54.9953433Z 2022-11-23T01:37:54.9953501Z - 2022-11-23T01:37:54.9953647Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.9953709Z { 2022-11-23T01:37:54.9953831Z 'guard_types': None, 2022-11-23T01:37:54.9953938Z 'code': None, 2022-11-23T01:37:54.9954045Z 'obj_weakref': None 2022-11-23T01:37:54.9954167Z 'guarded_class': None 2022-11-23T01:37:54.9954229Z } 2022-11-23T01:37:54.9954290Z 2022-11-23T01:37:54.9954556Z [2022-11-23 01:33:04,723] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 248 2022-11-23T01:37:54.9954929Z [2022-11-23 01:33:04,724] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/x6/cx6djbwrfcnrctpdo77fdvm562r3zla6tnjcpxjlle3xxikutpra.py 2022-11-23T01:37:54.9955200Z [2022-11-23 01:33:04,725] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 248 2022-11-23T01:37:54.9955439Z [2022-11-23 01:33:04,728] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.9955697Z [2022-11-23 01:33:04,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.9955918Z [2022-11-23 01:33:04,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.9956163Z [2022-11-23 01:33:04,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.9956442Z [2022-11-23 01:33:04,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.9956760Z [2022-11-23 01:33:04,728] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.9957008Z [2022-11-23 01:33:04,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9957244Z [2022-11-23 01:33:04,736] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.9957499Z [2022-11-23 01:33:04,737] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.9957751Z [2022-11-23 01:33:04,748] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.9957941Z [2022-11-23 01:33:04,748] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.9958064Z __compiled_fn_256 .2152 opcode, name, target, args, kwargs 2022-11-23T01:37:54.9958156Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.9958254Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.9958351Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.9958357Z 2022-11-23T01:37:54.9958635Z [2022-11-23 01:33:04,748] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9958758Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.9958852Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9958932Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.9959022Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.9959100Z 8 RETURN_VALUE 2022-11-23T01:37:54.9959106Z 2022-11-23T01:37:54.9959166Z 2022-11-23T01:37:54.9959441Z [2022-11-23 01:33:04,748] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9959548Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_256) 2022-11-23T01:37:54.9959671Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9959760Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9959824Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.9959912Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.9960002Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.9960078Z 12 RETURN_VALUE 2022-11-23T01:37:54.9960083Z 2022-11-23T01:37:54.9960141Z 2022-11-23T01:37:54.9960328Z [2022-11-23 01:33:04,749] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.9960401Z - 2022-11-23T01:37:54.9960509Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.9960572Z { 2022-11-23T01:37:54.9960715Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.9960904Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.9961024Z 'obj_weakref': None 2022-11-23T01:37:54.9961254Z 'guarded_class': 2022-11-23T01:37:54.9961317Z } 2022-11-23T01:37:54.9961365Z 2022-11-23T01:37:54.9961436Z - 2022-11-23T01:37:54.9961560Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.9961624Z { 2022-11-23T01:37:54.9961771Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9961880Z 'code': None, 2022-11-23T01:37:54.9962097Z 'obj_weakref': 2022-11-23T01:37:54.9962340Z 'guarded_class': 2022-11-23T01:37:54.9962404Z } 2022-11-23T01:37:54.9962467Z 2022-11-23T01:37:54.9962536Z - 2022-11-23T01:37:54.9962657Z local 'model' NN_MODULE 2022-11-23T01:37:54.9962720Z { 2022-11-23T01:37:54.9962858Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.9963018Z 'code': ['___check_obj_id(model, 140538439405200)'], 2022-11-23T01:37:54.9963241Z 'obj_weakref': 2022-11-23T01:37:54.9963482Z 'guarded_class': 2022-11-23T01:37:54.9963552Z } 2022-11-23T01:37:54.9963616Z 2022-11-23T01:37:54.9963688Z - 2022-11-23T01:37:54.9963814Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.9963865Z { 2022-11-23T01:37:54.9964006Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.9964228Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.9964355Z 'obj_weakref': None 2022-11-23T01:37:54.9964580Z 'guarded_class': 2022-11-23T01:37:54.9964649Z } 2022-11-23T01:37:54.9964712Z 2022-11-23T01:37:54.9964770Z - 2022-11-23T01:37:54.9964920Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.9964987Z { 2022-11-23T01:37:54.9965111Z 'guard_types': None, 2022-11-23T01:37:54.9965220Z 'code': None, 2022-11-23T01:37:54.9965343Z 'obj_weakref': None 2022-11-23T01:37:54.9965501Z 'guarded_class': None 2022-11-23T01:37:54.9965553Z } 2022-11-23T01:37:54.9965617Z 2022-11-23T01:37:54.9965693Z - 2022-11-23T01:37:54.9965842Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.9965907Z { 2022-11-23T01:37:54.9966033Z 'guard_types': None, 2022-11-23T01:37:54.9966145Z 'code': None, 2022-11-23T01:37:54.9966251Z 'obj_weakref': None 2022-11-23T01:37:54.9966375Z 'guarded_class': None 2022-11-23T01:37:54.9966440Z } 2022-11-23T01:37:54.9966535Z 2022-11-23T01:37:54.9966798Z [2022-11-23 01:33:04,760] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 249 2022-11-23T01:37:54.9967173Z [2022-11-23 01:33:04,761] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ei/cei5z5jzbjgcaizc3qzfyrk2trvs7u3v65ascbxqrcbntxfui6z3.py 2022-11-23T01:37:54.9967442Z [2022-11-23 01:33:04,762] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 249 2022-11-23T01:37:54.9967671Z [2022-11-23 01:33:04,764] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.9967945Z [2022-11-23 01:33:04,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.9968168Z [2022-11-23 01:33:04,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.9968417Z [2022-11-23 01:33:04,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.9968703Z [2022-11-23 01:33:04,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.9969021Z [2022-11-23 01:33:04,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.9969273Z [2022-11-23 01:33:04,768] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9969512Z [2022-11-23 01:33:04,768] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.9969770Z [2022-11-23 01:33:04,769] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.9970024Z [2022-11-23 01:33:04,775] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.9970201Z [2022-11-23 01:33:04,775] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.9970342Z __compiled_fn_257 .2163 opcode, name, target, args, kwargs 2022-11-23T01:37:54.9970434Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.9970535Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.9970635Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.9970640Z 2022-11-23T01:37:54.9970924Z [2022-11-23 01:33:04,775] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9971021Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.9971110Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9971190Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.9971281Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.9971359Z 8 RETURN_VALUE 2022-11-23T01:37:54.9971365Z 2022-11-23T01:37:54.9971427Z 2022-11-23T01:37:54.9971703Z [2022-11-23 01:33:04,775] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9971815Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_257) 2022-11-23T01:37:54.9971903Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9971979Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9972054Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.9972143Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.9972268Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.9972344Z 12 RETURN_VALUE 2022-11-23T01:37:54.9972349Z 2022-11-23T01:37:54.9972410Z 2022-11-23T01:37:54.9972597Z [2022-11-23 01:33:04,776] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.9972668Z - 2022-11-23T01:37:54.9972775Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.9972838Z { 2022-11-23T01:37:54.9972984Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.9973176Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.9973330Z 'obj_weakref': None 2022-11-23T01:37:54.9973560Z 'guarded_class': 2022-11-23T01:37:54.9973623Z } 2022-11-23T01:37:54.9973673Z 2022-11-23T01:37:54.9973745Z - 2022-11-23T01:37:54.9973870Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.9973934Z { 2022-11-23T01:37:54.9974079Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9974192Z 'code': None, 2022-11-23T01:37:54.9974407Z 'obj_weakref': 2022-11-23T01:37:54.9974648Z 'guarded_class': 2022-11-23T01:37:54.9974713Z } 2022-11-23T01:37:54.9974776Z 2022-11-23T01:37:54.9974846Z - 2022-11-23T01:37:54.9974968Z local 'model' NN_MODULE 2022-11-23T01:37:54.9975032Z { 2022-11-23T01:37:54.9975158Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.9975327Z 'code': ['___check_obj_id(model, 140538441842576)'], 2022-11-23T01:37:54.9975548Z 'obj_weakref': 2022-11-23T01:37:54.9975790Z 'guarded_class': 2022-11-23T01:37:54.9975855Z } 2022-11-23T01:37:54.9975916Z 2022-11-23T01:37:54.9975987Z - 2022-11-23T01:37:54.9976111Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.9976162Z { 2022-11-23T01:37:54.9976300Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.9976519Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.9976642Z 'obj_weakref': None 2022-11-23T01:37:54.9976862Z 'guarded_class': 2022-11-23T01:37:54.9976928Z } 2022-11-23T01:37:54.9976990Z 2022-11-23T01:37:54.9977048Z - 2022-11-23T01:37:54.9977195Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.9977258Z { 2022-11-23T01:37:54.9977379Z 'guard_types': None, 2022-11-23T01:37:54.9977488Z 'code': None, 2022-11-23T01:37:54.9977608Z 'obj_weakref': None 2022-11-23T01:37:54.9977732Z 'guarded_class': None 2022-11-23T01:37:54.9977782Z } 2022-11-23T01:37:54.9977843Z 2022-11-23T01:37:54.9977913Z - 2022-11-23T01:37:54.9978059Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.9978123Z { 2022-11-23T01:37:54.9978243Z 'guard_types': None, 2022-11-23T01:37:54.9978338Z 'code': None, 2022-11-23T01:37:54.9978456Z 'obj_weakref': None 2022-11-23T01:37:54.9978577Z 'guarded_class': None 2022-11-23T01:37:54.9978643Z } 2022-11-23T01:37:54.9978703Z 2022-11-23T01:37:54.9979193Z [2022-11-23 01:33:04,786] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 250 2022-11-23T01:37:54.9979667Z [2022-11-23 01:33:04,788] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ub/cublgfhnk6vaa7gbgy3yy2mngomzcop6o6faiw3pgtvn6l3gndsr.py 2022-11-23T01:37:54.9979938Z [2022-11-23 01:33:04,788] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 250 2022-11-23T01:37:54.9980163Z [2022-11-23 01:33:04,791] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.9980433Z [2022-11-23 01:33:04,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.9980652Z [2022-11-23 01:33:04,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.9980900Z [2022-11-23 01:33:04,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.9981223Z [2022-11-23 01:33:04,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.9981543Z [2022-11-23 01:33:04,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.9981793Z [2022-11-23 01:33:04,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9982032Z [2022-11-23 01:33:04,800] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.9982289Z [2022-11-23 01:33:04,801] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.9982530Z [2022-11-23 01:33:04,812] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.9982721Z [2022-11-23 01:33:04,812] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.9982860Z __compiled_fn_258 .2174 opcode, name, target, args, kwargs 2022-11-23T01:37:54.9982949Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.9983047Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.9983145Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.9983150Z 2022-11-23T01:37:54.9983433Z [2022-11-23 01:33:04,813] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9983526Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.9983603Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9983694Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.9983783Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.9983858Z 8 RETURN_VALUE 2022-11-23T01:37:54.9983863Z 2022-11-23T01:37:54.9983922Z 2022-11-23T01:37:54.9984197Z [2022-11-23 01:33:04,813] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9984308Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_258) 2022-11-23T01:37:54.9984396Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9984473Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9984547Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.9984634Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.9984724Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.9984797Z 12 RETURN_VALUE 2022-11-23T01:37:54.9984802Z 2022-11-23T01:37:54.9984860Z 2022-11-23T01:37:54.9985047Z [2022-11-23 01:33:04,813] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.9985107Z - 2022-11-23T01:37:54.9985226Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.9985289Z { 2022-11-23T01:37:54.9985430Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.9985619Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.9985744Z 'obj_weakref': None 2022-11-23T01:37:54.9985967Z 'guarded_class': 2022-11-23T01:37:54.9986018Z } 2022-11-23T01:37:54.9986079Z 2022-11-23T01:37:54.9986149Z - 2022-11-23T01:37:54.9986303Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.9986368Z { 2022-11-23T01:37:54.9986514Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9986623Z 'code': None, 2022-11-23T01:37:54.9986825Z 'obj_weakref': 2022-11-23T01:37:54.9987080Z 'guarded_class': 2022-11-23T01:37:54.9987143Z } 2022-11-23T01:37:54.9987203Z 2022-11-23T01:37:54.9987272Z - 2022-11-23T01:37:54.9987423Z local 'model' NN_MODULE 2022-11-23T01:37:54.9987486Z { 2022-11-23T01:37:54.9987610Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.9987780Z 'code': ['___check_obj_id(model, 140538434773392)'], 2022-11-23T01:37:54.9988000Z 'obj_weakref': 2022-11-23T01:37:54.9988321Z 'guarded_class': 2022-11-23T01:37:54.9988390Z } 2022-11-23T01:37:54.9988453Z 2022-11-23T01:37:54.9988527Z - 2022-11-23T01:37:54.9988639Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:54.9988703Z { 2022-11-23T01:37:54.9988841Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:54.9989062Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:54.9989183Z 'obj_weakref': None 2022-11-23T01:37:54.9989408Z 'guarded_class': 2022-11-23T01:37:54.9989473Z } 2022-11-23T01:37:54.9989522Z 2022-11-23T01:37:54.9989592Z - 2022-11-23T01:37:54.9989741Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:54.9989805Z { 2022-11-23T01:37:54.9989930Z 'guard_types': None, 2022-11-23T01:37:54.9990039Z 'code': None, 2022-11-23T01:37:54.9990160Z 'obj_weakref': None 2022-11-23T01:37:54.9990270Z 'guarded_class': None 2022-11-23T01:37:54.9990334Z } 2022-11-23T01:37:54.9990394Z 2022-11-23T01:37:54.9990464Z - 2022-11-23T01:37:54.9990613Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:54.9990675Z { 2022-11-23T01:37:54.9990798Z 'guard_types': None, 2022-11-23T01:37:54.9990893Z 'code': None, 2022-11-23T01:37:54.9991011Z 'obj_weakref': None 2022-11-23T01:37:54.9991136Z 'guarded_class': None 2022-11-23T01:37:54.9991198Z } 2022-11-23T01:37:54.9991258Z 2022-11-23T01:37:54.9991520Z [2022-11-23 01:33:04,823] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 251 2022-11-23T01:37:54.9991896Z [2022-11-23 01:33:04,825] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sz/cszjvj4sxzbnyfljgk4endmcpkgdmmejjt6q3ygmlemdjqt2bwb6.py 2022-11-23T01:37:54.9992150Z [2022-11-23 01:33:04,825] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 251 2022-11-23T01:37:54.9992389Z [2022-11-23 01:33:04,828] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:54.9992659Z [2022-11-23 01:33:04,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:54.9992877Z [2022-11-23 01:33:04,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:54.9993126Z [2022-11-23 01:33:04,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:54.9993403Z [2022-11-23 01:33:04,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:54.9993749Z [2022-11-23 01:33:04,828] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:54.9994001Z [2022-11-23 01:33:04,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:54.9994236Z [2022-11-23 01:33:04,832] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:54.9994480Z [2022-11-23 01:33:04,833] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:54.9994732Z [2022-11-23 01:33:04,840] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:54.9994955Z [2022-11-23 01:33:04,840] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:54.9995090Z __compiled_fn_259 .2185 opcode, name, target, args, kwargs 2022-11-23T01:37:54.9995180Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:54.9995280Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:54.9995379Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:54.9995385Z 2022-11-23T01:37:54.9995666Z [2022-11-23 01:33:04,840] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9995757Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:54.9995836Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9995927Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:54.9996017Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:54.9996092Z 8 RETURN_VALUE 2022-11-23T01:37:54.9996097Z 2022-11-23T01:37:54.9996161Z 2022-11-23T01:37:54.9996435Z [2022-11-23 01:33:04,840] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:54.9996543Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_259) 2022-11-23T01:37:54.9996621Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:54.9996711Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:54.9996788Z 6 BINARY_SUBSCR 2022-11-23T01:37:54.9996875Z 8 CALL_FUNCTION 1 2022-11-23T01:37:54.9996963Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:54.9997036Z 12 RETURN_VALUE 2022-11-23T01:37:54.9997041Z 2022-11-23T01:37:54.9997098Z 2022-11-23T01:37:54.9997282Z [2022-11-23 01:33:04,841] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:54.9997341Z - 2022-11-23T01:37:54.9997461Z local 'ex' LIST_LENGTH 2022-11-23T01:37:54.9997524Z { 2022-11-23T01:37:54.9997665Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:54.9997855Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:54.9997977Z 'obj_weakref': None 2022-11-23T01:37:54.9998201Z 'guarded_class': 2022-11-23T01:37:54.9998252Z } 2022-11-23T01:37:54.9998316Z 2022-11-23T01:37:54.9998389Z - 2022-11-23T01:37:54.9998514Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:54.9998575Z { 2022-11-23T01:37:54.9998720Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:54.9998818Z 'code': None, 2022-11-23T01:37:54.9999032Z 'obj_weakref': 2022-11-23T01:37:54.9999286Z 'guarded_class': 2022-11-23T01:37:54.9999349Z } 2022-11-23T01:37:54.9999414Z 2022-11-23T01:37:54.9999485Z - 2022-11-23T01:37:54.9999606Z local 'model' NN_MODULE 2022-11-23T01:37:54.9999656Z { 2022-11-23T01:37:54.9999793Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:54.9999962Z 'code': ['___check_obj_id(model, 140538440076112)'], 2022-11-23T01:37:55.0000218Z 'obj_weakref': 2022-11-23T01:37:55.0000461Z 'guarded_class': 2022-11-23T01:37:55.0000527Z } 2022-11-23T01:37:55.0000587Z 2022-11-23T01:37:55.0000658Z - 2022-11-23T01:37:55.0000768Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0000830Z { 2022-11-23T01:37:55.0000967Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0001184Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0001354Z 'obj_weakref': None 2022-11-23T01:37:55.0001577Z 'guarded_class': 2022-11-23T01:37:55.0001639Z } 2022-11-23T01:37:55.0001688Z 2022-11-23T01:37:55.0001758Z - 2022-11-23T01:37:55.0001905Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:55.0001971Z { 2022-11-23T01:37:55.0002093Z 'guard_types': None, 2022-11-23T01:37:55.0002202Z 'code': None, 2022-11-23T01:37:55.0002320Z 'obj_weakref': None 2022-11-23T01:37:55.0002430Z 'guarded_class': None 2022-11-23T01:37:55.0002493Z } 2022-11-23T01:37:55.0002555Z 2022-11-23T01:37:55.0002624Z - 2022-11-23T01:37:55.0002770Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:55.0002832Z { 2022-11-23T01:37:55.0002941Z 'guard_types': None, 2022-11-23T01:37:55.0003052Z 'code': None, 2022-11-23T01:37:55.0003171Z 'obj_weakref': None 2022-11-23T01:37:55.0003292Z 'guarded_class': None 2022-11-23T01:37:55.0003358Z } 2022-11-23T01:37:55.0003421Z 2022-11-23T01:37:55.0003687Z [2022-11-23 01:33:04,850] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 252 2022-11-23T01:37:55.0004045Z [2022-11-23 01:33:04,852] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2m/c2mbuz2oibdwsbgutv2klxva22onbe7pqggxewl6xak2zu6ldf6h.py 2022-11-23T01:37:55.0004315Z [2022-11-23 01:33:04,852] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 252 2022-11-23T01:37:55.0004558Z [2022-11-23 01:33:04,855] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0004830Z [2022-11-23 01:33:04,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0005055Z [2022-11-23 01:33:04,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0005301Z [2022-11-23 01:33:04,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:55.0005580Z [2022-11-23 01:33:04,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:55.0005900Z [2022-11-23 01:33:04,855] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0006151Z [2022-11-23 01:33:04,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.0006388Z [2022-11-23 01:33:04,863] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0006632Z [2022-11-23 01:33:04,864] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0006883Z [2022-11-23 01:33:04,875] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0007079Z [2022-11-23 01:33:04,875] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0007215Z __compiled_fn_260 .2196 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0007303Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0007438Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:55.0007542Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:55.0007547Z 2022-11-23T01:37:55.0007828Z [2022-11-23 01:33:04,875] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0007910Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0008001Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0008093Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0008185Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0008296Z 8 RETURN_VALUE 2022-11-23T01:37:55.0008301Z 2022-11-23T01:37:55.0008363Z 2022-11-23T01:37:55.0008643Z [2022-11-23 01:33:04,875] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0008754Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_260) 2022-11-23T01:37:55.0008835Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0008926Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0009003Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0009093Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0009184Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.0009259Z 12 RETURN_VALUE 2022-11-23T01:37:55.0009263Z 2022-11-23T01:37:55.0009326Z 2022-11-23T01:37:55.0009498Z [2022-11-23 01:33:04,876] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0009571Z - 2022-11-23T01:37:55.0009695Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0009764Z { 2022-11-23T01:37:55.0009908Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0010098Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0010222Z 'obj_weakref': None 2022-11-23T01:37:55.0010437Z 'guarded_class': 2022-11-23T01:37:55.0010504Z } 2022-11-23T01:37:55.0010567Z 2022-11-23T01:37:55.0010640Z - 2022-11-23T01:37:55.0010769Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0010834Z { 2022-11-23T01:37:55.0010977Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0011073Z 'code': None, 2022-11-23T01:37:55.0011286Z 'obj_weakref': 2022-11-23T01:37:55.0011544Z 'guarded_class': 2022-11-23T01:37:55.0011615Z } 2022-11-23T01:37:55.0011681Z 2022-11-23T01:37:55.0011753Z - 2022-11-23T01:37:55.0011874Z local 'model' NN_MODULE 2022-11-23T01:37:55.0011924Z { 2022-11-23T01:37:55.0012062Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0012234Z 'code': ['___check_obj_id(model, 140538730905168)'], 2022-11-23T01:37:55.0012459Z 'obj_weakref': 2022-11-23T01:37:55.0012699Z 'guarded_class': 2022-11-23T01:37:55.0012762Z } 2022-11-23T01:37:55.0012824Z 2022-11-23T01:37:55.0012881Z - 2022-11-23T01:37:55.0013005Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0013066Z { 2022-11-23T01:37:55.0013202Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0013423Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0013548Z 'obj_weakref': None 2022-11-23T01:37:55.0013770Z 'guarded_class': 2022-11-23T01:37:55.0013821Z } 2022-11-23T01:37:55.0013881Z 2022-11-23T01:37:55.0013956Z - 2022-11-23T01:37:55.0014132Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:55.0014196Z { 2022-11-23T01:37:55.0014318Z 'guard_types': None, 2022-11-23T01:37:55.0014426Z 'code': None, 2022-11-23T01:37:55.0014533Z 'obj_weakref': None 2022-11-23T01:37:55.0014655Z 'guarded_class': None 2022-11-23T01:37:55.0014715Z } 2022-11-23T01:37:55.0014776Z 2022-11-23T01:37:55.0014846Z - 2022-11-23T01:37:55.0014991Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:55.0015052Z { 2022-11-23T01:37:55.0015196Z 'guard_types': None, 2022-11-23T01:37:55.0015303Z 'code': None, 2022-11-23T01:37:55.0015422Z 'obj_weakref': None 2022-11-23T01:37:55.0015544Z 'guarded_class': None 2022-11-23T01:37:55.0015605Z } 2022-11-23T01:37:55.0015665Z 2022-11-23T01:37:55.0015914Z [2022-11-23 01:33:04,886] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 253 2022-11-23T01:37:55.0016290Z [2022-11-23 01:33:04,888] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/g5/cg5vzivec3ponxbnxltyxsyreqyg2pc6lfixklqn4fc6mrxfw5cm.py 2022-11-23T01:37:55.0016555Z [2022-11-23 01:33:04,888] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 253 2022-11-23T01:37:55.0016793Z [2022-11-23 01:33:04,891] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0017065Z [2022-11-23 01:33:04,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0017288Z [2022-11-23 01:33:04,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0017535Z [2022-11-23 01:33:04,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:55.0017817Z [2022-11-23 01:33:04,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:55.0018133Z [2022-11-23 01:33:04,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0018382Z [2022-11-23 01:33:04,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.0018603Z [2022-11-23 01:33:04,895] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0019068Z [2022-11-23 01:33:04,895] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0019362Z [2022-11-23 01:33:04,902] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0019554Z [2022-11-23 01:33:04,902] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0019689Z __compiled_fn_261 .2207 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0019780Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0019880Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:55.0019980Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:55.0019986Z 2022-11-23T01:37:55.0020264Z [2022-11-23 01:33:04,902] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0020345Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0020436Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0020528Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0020621Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0020696Z 8 RETURN_VALUE 2022-11-23T01:37:55.0020702Z 2022-11-23T01:37:55.0020761Z 2022-11-23T01:37:55.0021037Z [2022-11-23 01:33:04,902] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0021196Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_261) 2022-11-23T01:37:55.0021292Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0021380Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0021458Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0021547Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0021638Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.0021714Z 12 RETURN_VALUE 2022-11-23T01:37:55.0021719Z 2022-11-23T01:37:55.0021778Z 2022-11-23T01:37:55.0021952Z [2022-11-23 01:33:04,903] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0022070Z - 2022-11-23T01:37:55.0022193Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0022257Z { 2022-11-23T01:37:55.0022400Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0022587Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0022695Z 'obj_weakref': None 2022-11-23T01:37:55.0022922Z 'guarded_class': 2022-11-23T01:37:55.0022986Z } 2022-11-23T01:37:55.0023049Z 2022-11-23T01:37:55.0023122Z - 2022-11-23T01:37:55.0023247Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0023310Z { 2022-11-23T01:37:55.0023442Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0023553Z 'code': None, 2022-11-23T01:37:55.0023766Z 'obj_weakref': 2022-11-23T01:37:55.0024023Z 'guarded_class': 2022-11-23T01:37:55.0024090Z } 2022-11-23T01:37:55.0024151Z 2022-11-23T01:37:55.0024222Z - 2022-11-23T01:37:55.0024330Z local 'model' NN_MODULE 2022-11-23T01:37:55.0024392Z { 2022-11-23T01:37:55.0024526Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0024700Z 'code': ['___check_obj_id(model, 140539049247440)'], 2022-11-23T01:37:55.0024924Z 'obj_weakref': 2022-11-23T01:37:55.0025162Z 'guarded_class': 2022-11-23T01:37:55.0025227Z } 2022-11-23T01:37:55.0025288Z 2022-11-23T01:37:55.0025345Z - 2022-11-23T01:37:55.0025467Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0025528Z { 2022-11-23T01:37:55.0025666Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0025889Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0026008Z 'obj_weakref': None 2022-11-23T01:37:55.0026227Z 'guarded_class': 2022-11-23T01:37:55.0026279Z } 2022-11-23T01:37:55.0026341Z 2022-11-23T01:37:55.0026410Z - 2022-11-23T01:37:55.0026556Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:55.0026618Z { 2022-11-23T01:37:55.0026739Z 'guard_types': None, 2022-11-23T01:37:55.0026834Z 'code': None, 2022-11-23T01:37:55.0026954Z 'obj_weakref': None 2022-11-23T01:37:55.0027076Z 'guarded_class': None 2022-11-23T01:37:55.0027139Z } 2022-11-23T01:37:55.0027200Z 2022-11-23T01:37:55.0027268Z - 2022-11-23T01:37:55.0027415Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:55.0027467Z { 2022-11-23T01:37:55.0027588Z 'guard_types': None, 2022-11-23T01:37:55.0027694Z 'code': None, 2022-11-23T01:37:55.0027812Z 'obj_weakref': None 2022-11-23T01:37:55.0027933Z 'guarded_class': None 2022-11-23T01:37:55.0027995Z } 2022-11-23T01:37:55.0028056Z 2022-11-23T01:37:55.0028436Z [2022-11-23 01:33:04,912] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 254 2022-11-23T01:37:55.0028806Z [2022-11-23 01:33:04,914] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/o4/co4blu4adbwct62o2zqz33a5r53sxxsw2m7rf5yoeyrq2mug66bt.py 2022-11-23T01:37:55.0029076Z [2022-11-23 01:33:04,914] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 254 2022-11-23T01:37:55.0029316Z [2022-11-23 01:33:04,917] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0029626Z [2022-11-23 01:33:04,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0029845Z [2022-11-23 01:33:04,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0030089Z [2022-11-23 01:33:04,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:55.0030371Z [2022-11-23 01:33:04,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:55.0030687Z [2022-11-23 01:33:04,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0030924Z [2022-11-23 01:33:04,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.0031160Z [2022-11-23 01:33:04,926] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0031414Z [2022-11-23 01:33:04,927] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0031669Z [2022-11-23 01:33:04,938] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0031861Z [2022-11-23 01:33:04,938] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0031997Z __compiled_fn_262 .2218 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0032087Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0032187Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:55.0032284Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:55.0032290Z 2022-11-23T01:37:55.0032557Z [2022-11-23 01:33:04,938] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0032650Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0032739Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0032833Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0032923Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0032999Z 8 RETURN_VALUE 2022-11-23T01:37:55.0033004Z 2022-11-23T01:37:55.0033065Z 2022-11-23T01:37:55.0033339Z [2022-11-23 01:33:04,939] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0033437Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_262) 2022-11-23T01:37:55.0033527Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0033615Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0033690Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0033779Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0033868Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.0033941Z 12 RETURN_VALUE 2022-11-23T01:37:55.0033946Z 2022-11-23T01:37:55.0033992Z 2022-11-23T01:37:55.0034175Z [2022-11-23 01:33:04,939] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0034248Z - 2022-11-23T01:37:55.0034370Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0034433Z { 2022-11-23T01:37:55.0034577Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0034764Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0034904Z 'obj_weakref': None 2022-11-23T01:37:55.0035131Z 'guarded_class': 2022-11-23T01:37:55.0035196Z } 2022-11-23T01:37:55.0035256Z 2022-11-23T01:37:55.0035325Z - 2022-11-23T01:37:55.0035452Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0035514Z { 2022-11-23T01:37:55.0035644Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0035753Z 'code': None, 2022-11-23T01:37:55.0035967Z 'obj_weakref': 2022-11-23T01:37:55.0036256Z 'guarded_class': 2022-11-23T01:37:55.0036323Z } 2022-11-23T01:37:55.0036385Z 2022-11-23T01:37:55.0036455Z - 2022-11-23T01:37:55.0036562Z local 'model' NN_MODULE 2022-11-23T01:37:55.0036624Z { 2022-11-23T01:37:55.0036762Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0036933Z 'code': ['___check_obj_id(model, 140538441542224)'], 2022-11-23T01:37:55.0037156Z 'obj_weakref': 2022-11-23T01:37:55.0037396Z 'guarded_class': 2022-11-23T01:37:55.0037459Z } 2022-11-23T01:37:55.0037509Z 2022-11-23T01:37:55.0037578Z - 2022-11-23T01:37:55.0037699Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0037764Z { 2022-11-23T01:37:55.0037901Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0038121Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0038241Z 'obj_weakref': None 2022-11-23T01:37:55.0038450Z 'guarded_class': 2022-11-23T01:37:55.0038514Z } 2022-11-23T01:37:55.0038577Z 2022-11-23T01:37:55.0038646Z - 2022-11-23T01:37:55.0038795Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:55.0038856Z { 2022-11-23T01:37:55.0038977Z 'guard_types': None, 2022-11-23T01:37:55.0039073Z 'code': None, 2022-11-23T01:37:55.0039195Z 'obj_weakref': None 2022-11-23T01:37:55.0039316Z 'guarded_class': None 2022-11-23T01:37:55.0039379Z } 2022-11-23T01:37:55.0039441Z 2022-11-23T01:37:55.0039512Z - 2022-11-23T01:37:55.0039658Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:55.0039709Z { 2022-11-23T01:37:55.0039828Z 'guard_types': None, 2022-11-23T01:37:55.0039937Z 'code': None, 2022-11-23T01:37:55.0040055Z 'obj_weakref': None 2022-11-23T01:37:55.0040178Z 'guarded_class': None 2022-11-23T01:37:55.0040242Z } 2022-11-23T01:37:55.0040291Z 2022-11-23T01:37:55.0040550Z [2022-11-23 01:33:04,950] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 255 2022-11-23T01:37:55.0040555Z 2022-11-23T01:37:55.0040651Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0040721Z import torch 2022-11-23T01:37:55.0040788Z import random 2022-11-23T01:37:55.0040903Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0041023Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0041028Z 2022-11-23T01:37:55.0041105Z aten = torch.ops.aten 2022-11-23T01:37:55.0041229Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0041319Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0041325Z 2022-11-23T01:37:55.0041329Z 2022-11-23T01:37:55.0041415Z async_compile.wait(globals()) 2022-11-23T01:37:55.0041485Z del async_compile 2022-11-23T01:37:55.0041490Z 2022-11-23T01:37:55.0041597Z def call(args): 2022-11-23T01:37:55.0041680Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:55.0041750Z args.clear() 2022-11-23T01:37:55.0041967Z buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'relu', [], '') 2022-11-23T01:37:55.0042024Z del arg0_1 2022-11-23T01:37:55.0042089Z del arg1_1 2022-11-23T01:37:55.0042152Z del arg2_1 2022-11-23T01:37:55.0042222Z return (buf0, ) 2022-11-23T01:37:55.0042227Z 2022-11-23T01:37:55.0042231Z 2022-11-23T01:37:55.0042306Z if __name__ == "__main__": 2022-11-23T01:37:55.0042419Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0042575Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0042771Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0042970Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0043178Z arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0043305Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:55.0043309Z 2022-11-23T01:37:55.0043313Z 2022-11-23T01:37:55.0043405Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0043478Z import torch 2022-11-23T01:37:55.0043549Z import random 2022-11-23T01:37:55.0043665Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0043774Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0043778Z 2022-11-23T01:37:55.0043858Z aten = torch.ops.aten 2022-11-23T01:37:55.0043991Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0044086Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0044091Z 2022-11-23T01:37:55.0044095Z 2022-11-23T01:37:55.0044184Z async_compile.wait(globals()) 2022-11-23T01:37:55.0044257Z del async_compile 2022-11-23T01:37:55.0044262Z 2022-11-23T01:37:55.0044332Z def call(args): 2022-11-23T01:37:55.0044408Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.0044468Z args.clear() 2022-11-23T01:37:55.0044684Z buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'relu', [], '') 2022-11-23T01:37:55.0044755Z del arg0_1 2022-11-23T01:37:55.0044823Z del arg1_1 2022-11-23T01:37:55.0044896Z return (buf0, ) 2022-11-23T01:37:55.0044901Z 2022-11-23T01:37:55.0044905Z 2022-11-23T01:37:55.0044982Z if __name__ == "__main__": 2022-11-23T01:37:55.0045097Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0045206Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0045412Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0045629Z arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0045746Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.0045750Z 2022-11-23T01:37:55.0045754Z 2022-11-23T01:37:55.0045848Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0045918Z import torch 2022-11-23T01:37:55.0045992Z import random 2022-11-23T01:37:55.0046108Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0046215Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0046234Z 2022-11-23T01:37:55.0046300Z aten = torch.ops.aten 2022-11-23T01:37:55.0046434Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0046527Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0046531Z 2022-11-23T01:37:55.0046535Z 2022-11-23T01:37:55.0046624Z async_compile.wait(globals()) 2022-11-23T01:37:55.0046697Z del async_compile 2022-11-23T01:37:55.0046704Z 2022-11-23T01:37:55.0046773Z def call(args): 2022-11-23T01:37:55.0046854Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:55.0046911Z args.clear() 2022-11-23T01:37:55.0047129Z buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'relu', [], '') 2022-11-23T01:37:55.0047198Z del arg0_1 2022-11-23T01:37:55.0047268Z del arg1_1 2022-11-23T01:37:55.0047365Z del arg2_1 2022-11-23T01:37:55.0047440Z return (buf0, ) 2022-11-23T01:37:55.0047444Z 2022-11-23T01:37:55.0047448Z 2022-11-23T01:37:55.0047524Z if __name__ == "__main__": 2022-11-23T01:37:55.0047636Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0047746Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0047951Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0048153Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0048356Z arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0048525Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:55.0048530Z 2022-11-23T01:37:55.0048534Z 2022-11-23T01:37:55.0048628Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0048698Z import torch 2022-11-23T01:37:55.0048767Z import random 2022-11-23T01:37:55.0048871Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0048991Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0048996Z 2022-11-23T01:37:55.0049075Z aten = torch.ops.aten 2022-11-23T01:37:55.0049206Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0049297Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0049302Z 2022-11-23T01:37:55.0049306Z 2022-11-23T01:37:55.0049392Z async_compile.wait(globals()) 2022-11-23T01:37:55.0049464Z del async_compile 2022-11-23T01:37:55.0049469Z 2022-11-23T01:37:55.0049539Z def call(args): 2022-11-23T01:37:55.0049600Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.0049673Z args.clear() 2022-11-23T01:37:55.0049888Z buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'relu', [], '') 2022-11-23T01:37:55.0049957Z del arg0_1 2022-11-23T01:37:55.0050023Z del arg1_1 2022-11-23T01:37:55.0050092Z return (buf0, ) 2022-11-23T01:37:55.0050096Z 2022-11-23T01:37:55.0050100Z 2022-11-23T01:37:55.0050176Z if __name__ == "__main__": 2022-11-23T01:37:55.0050278Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0050396Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0050598Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0050799Z arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0050911Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.0050916Z 2022-11-23T01:37:55.0050920Z 2022-11-23T01:37:55.0051012Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0051084Z import torch 2022-11-23T01:37:55.0051154Z import random 2022-11-23T01:37:55.0051255Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0051373Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0051378Z 2022-11-23T01:37:55.0051454Z aten = torch.ops.aten 2022-11-23T01:37:55.0051586Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0051676Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0051681Z 2022-11-23T01:37:55.0051685Z 2022-11-23T01:37:55.0051771Z async_compile.wait(globals()) 2022-11-23T01:37:55.0051842Z del async_compile 2022-11-23T01:37:55.0051847Z 2022-11-23T01:37:55.0051916Z def call(args): 2022-11-23T01:37:55.0051983Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:55.0052053Z args.clear() 2022-11-23T01:37:55.0052275Z buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'sigmoid', [], '') 2022-11-23T01:37:55.0052342Z del arg0_1 2022-11-23T01:37:55.0052407Z del arg1_1 2022-11-23T01:37:55.0052474Z del arg2_1 2022-11-23T01:37:55.0052544Z return (buf0, ) 2022-11-23T01:37:55.0052549Z 2022-11-23T01:37:55.0052553Z 2022-11-23T01:37:55.0052616Z if __name__ == "__main__": 2022-11-23T01:37:55.0052727Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0052846Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0053080Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0053281Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0053489Z arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0053612Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:55.0053616Z 2022-11-23T01:37:55.0053621Z 2022-11-23T01:37:55.0053712Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0053770Z import torch 2022-11-23T01:37:55.0053838Z import random 2022-11-23T01:37:55.0053986Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0054105Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0054110Z 2022-11-23T01:37:55.0054186Z aten = torch.ops.aten 2022-11-23T01:37:55.0054317Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0054406Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0054413Z 2022-11-23T01:37:55.0054418Z 2022-11-23T01:37:55.0054504Z async_compile.wait(globals()) 2022-11-23T01:37:55.0054564Z del async_compile 2022-11-23T01:37:55.0054569Z 2022-11-23T01:37:55.0054638Z def call(args): 2022-11-23T01:37:55.0054710Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.0054781Z args.clear() 2022-11-23T01:37:55.0055000Z buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'sigmoid', [], '') 2022-11-23T01:37:55.0055067Z del arg0_1 2022-11-23T01:37:55.0055133Z del arg1_1 2022-11-23T01:37:55.0055192Z return (buf0, ) 2022-11-23T01:37:55.0055197Z 2022-11-23T01:37:55.0055215Z 2022-11-23T01:37:55.0055277Z if __name__ == "__main__": 2022-11-23T01:37:55.0055389Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0055508Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0055723Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0056046Z arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0056219Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.0056228Z 2022-11-23T01:37:55.0056234Z 2022-11-23T01:37:55.0056379Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0056478Z import torch 2022-11-23T01:37:55.0056555Z import random 2022-11-23T01:37:55.0056731Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0056860Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0056866Z 2022-11-23T01:37:55.0056942Z aten = torch.ops.aten 2022-11-23T01:37:55.0057073Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0057164Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0057169Z 2022-11-23T01:37:55.0057173Z 2022-11-23T01:37:55.0057261Z async_compile.wait(globals()) 2022-11-23T01:37:55.0057319Z del async_compile 2022-11-23T01:37:55.0057336Z 2022-11-23T01:37:55.0057393Z def call(args): 2022-11-23T01:37:55.0057477Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:55.0057545Z args.clear() 2022-11-23T01:37:55.0057771Z buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'sigmoid', [], '') 2022-11-23T01:37:55.0057838Z del arg0_1 2022-11-23T01:37:55.0057902Z del arg1_1 2022-11-23T01:37:55.0057955Z del arg2_1 2022-11-23T01:37:55.0058025Z return (buf0, ) 2022-11-23T01:37:55.0058030Z 2022-11-23T01:37:55.0058034Z 2022-11-23T01:37:55.0058106Z if __name__ == "__main__": 2022-11-23T01:37:55.0058216Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0058336Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0058543Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0058877Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0059181Z arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0059370Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:55.0059389Z 2022-11-23T01:37:55.0059393Z 2022-11-23T01:37:55.0059475Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0059545Z import torch 2022-11-23T01:37:55.0059615Z import random 2022-11-23T01:37:55.0059728Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0059848Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0059853Z 2022-11-23T01:37:55.0059930Z aten = torch.ops.aten 2022-11-23T01:37:55.0060062Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0060140Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0060198Z 2022-11-23T01:37:55.0060202Z 2022-11-23T01:37:55.0060279Z async_compile.wait(globals()) 2022-11-23T01:37:55.0060351Z del async_compile 2022-11-23T01:37:55.0060356Z 2022-11-23T01:37:55.0060425Z def call(args): 2022-11-23T01:37:55.0060499Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.0060569Z args.clear() 2022-11-23T01:37:55.0060792Z buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'sigmoid', [], '') 2022-11-23T01:37:55.0060859Z del arg0_1 2022-11-23T01:37:55.0060912Z del arg1_1 2022-11-23T01:37:55.0060981Z return (buf0, ) 2022-11-23T01:37:55.0060987Z 2022-11-23T01:37:55.0060991Z 2022-11-23T01:37:55.0061064Z if __name__ == "__main__": 2022-11-23T01:37:55.0061175Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0061298Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0061503Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0061709Z arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0061822Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.0061828Z 2022-11-23T01:37:55.0061832Z 2022-11-23T01:37:55.0061914Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0061981Z import torch 2022-11-23T01:37:55.0062051Z import random 2022-11-23T01:37:55.0062165Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0062285Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0062290Z 2022-11-23T01:37:55.0062366Z aten = torch.ops.aten 2022-11-23T01:37:55.0062496Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0062574Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0062591Z 2022-11-23T01:37:55.0062595Z 2022-11-23T01:37:55.0062668Z async_compile.wait(globals()) 2022-11-23T01:37:55.0062739Z del async_compile 2022-11-23T01:37:55.0062744Z 2022-11-23T01:37:55.0062812Z def call(args): 2022-11-23T01:37:55.0062893Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:55.0062962Z args.clear() 2022-11-23T01:37:55.0063177Z buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'tanh', [], '') 2022-11-23T01:37:55.0063244Z del arg0_1 2022-11-23T01:37:55.0063297Z del arg1_1 2022-11-23T01:37:55.0063361Z del arg2_1 2022-11-23T01:37:55.0063430Z return (buf0, ) 2022-11-23T01:37:55.0063437Z 2022-11-23T01:37:55.0063441Z 2022-11-23T01:37:55.0063517Z if __name__ == "__main__": 2022-11-23T01:37:55.0063627Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0063747Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0063950Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0064148Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0064342Z arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0064468Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:55.0064846Z [2022-11-23 01:33:04,952] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/n2/cn2apdhnn52zmzzvu3girdwutbvkoaez5wcdt4icxf64ruw2ebib.py 2022-11-23T01:37:55.0065149Z [2022-11-23 01:33:04,952] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 255 2022-11-23T01:37:55.0065393Z [2022-11-23 01:33:04,955] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0065666Z [2022-11-23 01:33:04,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0065888Z [2022-11-23 01:33:04,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0066133Z [2022-11-23 01:33:04,955] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:55.0066413Z [2022-11-23 01:33:04,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:55.0066750Z [2022-11-23 01:33:04,956] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0066997Z [2022-11-23 01:33:04,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.0067238Z [2022-11-23 01:33:04,959] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0067494Z [2022-11-23 01:33:04,960] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0067746Z [2022-11-23 01:33:04,967] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0067939Z [2022-11-23 01:33:04,967] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0068073Z __compiled_fn_263 .2229 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0068241Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0068332Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:55.0068430Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:55.0068436Z 2022-11-23T01:37:55.0068719Z [2022-11-23 01:33:04,967] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0068816Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0068907Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0069001Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0069091Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0069166Z 8 RETURN_VALUE 2022-11-23T01:37:55.0069171Z 2022-11-23T01:37:55.0069218Z 2022-11-23T01:37:55.0069494Z [2022-11-23 01:33:04,967] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0069605Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_263) 2022-11-23T01:37:55.0069696Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0069787Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0069863Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0069951Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0070040Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.0070104Z 12 RETURN_VALUE 2022-11-23T01:37:55.0070109Z 2022-11-23T01:37:55.0070168Z 2022-11-23T01:37:55.0070354Z [2022-11-23 01:33:04,968] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0070427Z - 2022-11-23T01:37:55.0070546Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0070609Z { 2022-11-23T01:37:55.0070750Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0070927Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0071048Z 'obj_weakref': None 2022-11-23T01:37:55.0071277Z 'guarded_class': 2022-11-23T01:37:55.0071340Z } 2022-11-23T01:37:55.0071401Z 2022-11-23T01:37:55.0071470Z - 2022-11-23T01:37:55.0071597Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0071647Z { 2022-11-23T01:37:55.0071826Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0071939Z 'code': None, 2022-11-23T01:37:55.0072153Z 'obj_weakref': 2022-11-23T01:37:55.0072409Z 'guarded_class': 2022-11-23T01:37:55.0072472Z } 2022-11-23T01:37:55.0072534Z 2022-11-23T01:37:55.0072593Z - 2022-11-23T01:37:55.0072712Z local 'model' NN_MODULE 2022-11-23T01:37:55.0072774Z { 2022-11-23T01:37:55.0072909Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0073112Z 'code': ['___check_obj_id(model, 140538745621968)'], 2022-11-23T01:37:55.0073337Z 'obj_weakref': 2022-11-23T01:37:55.0073577Z 'guarded_class': 2022-11-23T01:37:55.0073630Z } 2022-11-23T01:37:55.0073691Z 2022-11-23T01:37:55.0073760Z - 2022-11-23T01:37:55.0073884Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0073946Z { 2022-11-23T01:37:55.0074083Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0074302Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0074408Z 'obj_weakref': None 2022-11-23T01:37:55.0074628Z 'guarded_class': 2022-11-23T01:37:55.0074691Z } 2022-11-23T01:37:55.0074756Z 2022-11-23T01:37:55.0074826Z - 2022-11-23T01:37:55.0074973Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:55.0075036Z { 2022-11-23T01:37:55.0075145Z 'guard_types': None, 2022-11-23T01:37:55.0075251Z 'code': None, 2022-11-23T01:37:55.0075371Z 'obj_weakref': None 2022-11-23T01:37:55.0075496Z 'guarded_class': None 2022-11-23T01:37:55.0075559Z } 2022-11-23T01:37:55.0075622Z 2022-11-23T01:37:55.0075694Z - 2022-11-23T01:37:55.0075827Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:55.0075890Z { 2022-11-23T01:37:55.0076009Z 'guard_types': None, 2022-11-23T01:37:55.0076117Z 'code': None, 2022-11-23T01:37:55.0076236Z 'obj_weakref': None 2022-11-23T01:37:55.0076358Z 'guarded_class': None 2022-11-23T01:37:55.0076408Z } 2022-11-23T01:37:55.0076472Z 2022-11-23T01:37:55.0076736Z [2022-11-23 01:33:04,979] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 256 2022-11-23T01:37:55.0077108Z [2022-11-23 01:33:04,981] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5x/c5xb7htfbqrfpkpnhuyghla7z2zooubvvftz4m5ahr3lnb2tvkbq.py 2022-11-23T01:37:55.0077374Z [2022-11-23 01:33:04,981] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 256 2022-11-23T01:37:55.0077613Z [2022-11-23 01:33:04,984] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0077883Z [2022-11-23 01:33:04,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0078131Z [2022-11-23 01:33:04,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0078447Z [2022-11-23 01:33:04,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:55.0078718Z [2022-11-23 01:33:04,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:55.0079033Z [2022-11-23 01:33:04,984] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0079326Z [2022-11-23 01:33:04,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.0079565Z [2022-11-23 01:33:04,992] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0079819Z [2022-11-23 01:33:04,993] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0080072Z [2022-11-23 01:33:05,004] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0080264Z [2022-11-23 01:33:05,004] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0080397Z __compiled_fn_264 .2240 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0080551Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0080640Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:55.0080739Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:55.0080745Z 2022-11-23T01:37:55.0081029Z [2022-11-23 01:33:05,004] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0081126Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0081216Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0081310Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0081404Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0081480Z 8 RETURN_VALUE 2022-11-23T01:37:55.0081486Z 2022-11-23T01:37:55.0081534Z 2022-11-23T01:37:55.0081811Z [2022-11-23 01:33:05,004] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0081925Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_264) 2022-11-23T01:37:55.0082015Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0082107Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0082185Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0082274Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0082355Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.0082432Z 12 RETURN_VALUE 2022-11-23T01:37:55.0082437Z 2022-11-23T01:37:55.0082497Z 2022-11-23T01:37:55.0082683Z [2022-11-23 01:33:05,005] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0082758Z - 2022-11-23T01:37:55.0082882Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0082949Z { 2022-11-23T01:37:55.0083079Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0083270Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0083397Z 'obj_weakref': None 2022-11-23T01:37:55.0083624Z 'guarded_class': 2022-11-23T01:37:55.0083691Z } 2022-11-23T01:37:55.0083757Z 2022-11-23T01:37:55.0083832Z - 2022-11-23T01:37:55.0083946Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0084014Z { 2022-11-23T01:37:55.0084164Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0084275Z 'code': None, 2022-11-23T01:37:55.0084493Z 'obj_weakref': 2022-11-23T01:37:55.0084751Z 'guarded_class': 2022-11-23T01:37:55.0084816Z } 2022-11-23T01:37:55.0084867Z 2022-11-23T01:37:55.0084939Z - 2022-11-23T01:37:55.0085064Z local 'model' NN_MODULE 2022-11-23T01:37:55.0085133Z { 2022-11-23T01:37:55.0085271Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0085445Z 'code': ['___check_obj_id(model, 140538434886096)'], 2022-11-23T01:37:55.0085671Z 'obj_weakref': 2022-11-23T01:37:55.0085947Z 'guarded_class': 2022-11-23T01:37:55.0086002Z } 2022-11-23T01:37:55.0086068Z 2022-11-23T01:37:55.0086143Z - 2022-11-23T01:37:55.0086270Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0086335Z { 2022-11-23T01:37:55.0086474Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0086680Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0086804Z 'obj_weakref': None 2022-11-23T01:37:55.0087024Z 'guarded_class': 2022-11-23T01:37:55.0087123Z } 2022-11-23T01:37:55.0087184Z 2022-11-23T01:37:55.0087256Z - 2022-11-23T01:37:55.0087409Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:55.0087460Z { 2022-11-23T01:37:55.0087580Z 'guard_types': None, 2022-11-23T01:37:55.0087686Z 'code': None, 2022-11-23T01:37:55.0087810Z 'obj_weakref': None 2022-11-23T01:37:55.0087932Z 'guarded_class': None 2022-11-23T01:37:55.0087994Z } 2022-11-23T01:37:55.0088059Z 2022-11-23T01:37:55.0088117Z - 2022-11-23T01:37:55.0088263Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:55.0088324Z { 2022-11-23T01:37:55.0088444Z 'guard_types': None, 2022-11-23T01:37:55.0088552Z 'code': None, 2022-11-23T01:37:55.0088672Z 'obj_weakref': None 2022-11-23T01:37:55.0088794Z 'guarded_class': None 2022-11-23T01:37:55.0088846Z } 2022-11-23T01:37:55.0088908Z 2022-11-23T01:37:55.0089169Z [2022-11-23 01:33:05,016] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 257 2022-11-23T01:37:55.0089537Z [2022-11-23 01:33:05,018] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/th/cth4hsps65jo7b5v2ih5rmkfvncez44rw7jwjt7kwrintvkgknvj.py 2022-11-23T01:37:55.0089804Z [2022-11-23 01:33:05,018] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 257 2022-11-23T01:37:55.0090042Z [2022-11-23 01:33:05,021] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0090317Z [2022-11-23 01:33:05,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0090535Z [2022-11-23 01:33:05,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0090766Z [2022-11-23 01:33:05,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:55.0091047Z [2022-11-23 01:33:05,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:55.0091363Z [2022-11-23 01:33:05,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0091614Z [2022-11-23 01:33:05,024] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.0091850Z [2022-11-23 01:33:05,024] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0092104Z [2022-11-23 01:33:05,025] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0092355Z [2022-11-23 01:33:05,031] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0092544Z [2022-11-23 01:33:05,031] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0092684Z __compiled_fn_265 .2251 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0092761Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0092861Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:55.0092956Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:55.0092962Z 2022-11-23T01:37:55.0093271Z [2022-11-23 01:33:05,032] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0093367Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0093457Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0093550Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0093640Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0093703Z 8 RETURN_VALUE 2022-11-23T01:37:55.0093708Z 2022-11-23T01:37:55.0093767Z 2022-11-23T01:37:55.0094045Z [2022-11-23 01:33:05,032] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0094198Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_265) 2022-11-23T01:37:55.0094286Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0094375Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0094450Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0094538Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0094616Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.0094690Z 12 RETURN_VALUE 2022-11-23T01:37:55.0094695Z 2022-11-23T01:37:55.0094753Z 2022-11-23T01:37:55.0094938Z [2022-11-23 01:33:05,032] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0095009Z - 2022-11-23T01:37:55.0095130Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0095194Z { 2022-11-23T01:37:55.0095325Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0095513Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0095638Z 'obj_weakref': None 2022-11-23T01:37:55.0095864Z 'guarded_class': 2022-11-23T01:37:55.0095929Z } 2022-11-23T01:37:55.0095992Z 2022-11-23T01:37:55.0096063Z - 2022-11-23T01:37:55.0096177Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0096241Z { 2022-11-23T01:37:55.0096387Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0096497Z 'code': None, 2022-11-23T01:37:55.0096711Z 'obj_weakref': 2022-11-23T01:37:55.0096970Z 'guarded_class': 2022-11-23T01:37:55.0097033Z } 2022-11-23T01:37:55.0097083Z 2022-11-23T01:37:55.0097153Z - 2022-11-23T01:37:55.0097277Z local 'model' NN_MODULE 2022-11-23T01:37:55.0097339Z { 2022-11-23T01:37:55.0097474Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0097645Z 'code': ['___check_obj_id(model, 140538440414672)'], 2022-11-23T01:37:55.0097867Z 'obj_weakref': 2022-11-23T01:37:55.0098094Z 'guarded_class': 2022-11-23T01:37:55.0098158Z } 2022-11-23T01:37:55.0098220Z 2022-11-23T01:37:55.0098291Z - 2022-11-23T01:37:55.0098417Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0098481Z { 2022-11-23T01:37:55.0098619Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0098991Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0099166Z 'obj_weakref': None 2022-11-23T01:37:55.0099398Z 'guarded_class': 2022-11-23T01:37:55.0099461Z } 2022-11-23T01:37:55.0099523Z 2022-11-23T01:37:55.0099593Z - 2022-11-23T01:37:55.0099743Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:55.0099793Z { 2022-11-23T01:37:55.0099974Z 'guard_types': None, 2022-11-23T01:37:55.0100087Z 'code': None, 2022-11-23T01:37:55.0100207Z 'obj_weakref': None 2022-11-23T01:37:55.0100332Z 'guarded_class': None 2022-11-23T01:37:55.0100394Z } 2022-11-23T01:37:55.0100455Z 2022-11-23T01:37:55.0100511Z - 2022-11-23T01:37:55.0100656Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:55.0100719Z { 2022-11-23T01:37:55.0100841Z 'guard_types': None, 2022-11-23T01:37:55.0100948Z 'code': None, 2022-11-23T01:37:55.0101068Z 'obj_weakref': None 2022-11-23T01:37:55.0101219Z 'guarded_class': None 2022-11-23T01:37:55.0101281Z } 2022-11-23T01:37:55.0101341Z 2022-11-23T01:37:55.0101602Z [2022-11-23 01:33:05,042] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 258 2022-11-23T01:37:55.0101975Z [2022-11-23 01:33:05,044] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qh/cqhvryaz27cqwmorucrakf5muvvtcndgek474hmwkazhodvocyvp.py 2022-11-23T01:37:55.0102243Z [2022-11-23 01:33:05,044] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 258 2022-11-23T01:37:55.0102482Z [2022-11-23 01:33:05,047] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0102754Z [2022-11-23 01:33:05,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0102972Z [2022-11-23 01:33:05,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0103207Z [2022-11-23 01:33:05,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:55.0103484Z [2022-11-23 01:33:05,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:55.0103800Z [2022-11-23 01:33:05,047] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0104049Z [2022-11-23 01:33:05,060] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.0104287Z [2022-11-23 01:33:05,060] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0104544Z [2022-11-23 01:33:05,061] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0104797Z [2022-11-23 01:33:05,076] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0104992Z [2022-11-23 01:33:05,076] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0105127Z __compiled_fn_266 .2262 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0105204Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0105302Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:55.0105401Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:55.0105407Z 2022-11-23T01:37:55.0105687Z [2022-11-23 01:33:05,076] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0105783Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0105873Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0105964Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0106054Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0106118Z 8 RETURN_VALUE 2022-11-23T01:37:55.0106123Z 2022-11-23T01:37:55.0106188Z 2022-11-23T01:37:55.0106464Z [2022-11-23 01:33:05,076] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0106571Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_266) 2022-11-23T01:37:55.0106660Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0106780Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0106858Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0106933Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0107022Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.0107096Z 12 RETURN_VALUE 2022-11-23T01:37:55.0107101Z 2022-11-23T01:37:55.0107158Z 2022-11-23T01:37:55.0107345Z [2022-11-23 01:33:05,077] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0107417Z - 2022-11-23T01:37:55.0107540Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0107592Z { 2022-11-23T01:37:55.0107734Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0107955Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0108076Z 'obj_weakref': None 2022-11-23T01:37:55.0108387Z 'guarded_class': 2022-11-23T01:37:55.0108453Z } 2022-11-23T01:37:55.0108517Z 2022-11-23T01:37:55.0108574Z - 2022-11-23T01:37:55.0108704Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0108765Z { 2022-11-23T01:37:55.0108911Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0109021Z 'code': None, 2022-11-23T01:37:55.0109237Z 'obj_weakref': 2022-11-23T01:37:55.0109495Z 'guarded_class': 2022-11-23T01:37:55.0109560Z } 2022-11-23T01:37:55.0109612Z 2022-11-23T01:37:55.0109682Z - 2022-11-23T01:37:55.0109803Z local 'model' NN_MODULE 2022-11-23T01:37:55.0109869Z { 2022-11-23T01:37:55.0110005Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0110177Z 'code': ['___check_obj_id(model, 140538730905168)'], 2022-11-23T01:37:55.0110390Z 'obj_weakref': 2022-11-23T01:37:55.0110632Z 'guarded_class': 2022-11-23T01:37:55.0110696Z } 2022-11-23T01:37:55.0110757Z 2022-11-23T01:37:55.0110826Z - 2022-11-23T01:37:55.0110947Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0111009Z { 2022-11-23T01:37:55.0111135Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0111351Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0111474Z 'obj_weakref': None 2022-11-23T01:37:55.0111697Z 'guarded_class': 2022-11-23T01:37:55.0111761Z } 2022-11-23T01:37:55.0111822Z 2022-11-23T01:37:55.0111891Z - 2022-11-23T01:37:55.0112025Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:55.0112089Z { 2022-11-23T01:37:55.0112209Z 'guard_types': None, 2022-11-23T01:37:55.0112319Z 'code': None, 2022-11-23T01:37:55.0112436Z 'obj_weakref': None 2022-11-23T01:37:55.0112560Z 'guarded_class': None 2022-11-23T01:37:55.0112623Z } 2022-11-23T01:37:55.0112673Z 2022-11-23T01:37:55.0112740Z - 2022-11-23T01:37:55.0112884Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:55.0112946Z { 2022-11-23T01:37:55.0113067Z 'guard_types': None, 2022-11-23T01:37:55.0113174Z 'code': None, 2022-11-23T01:37:55.0113297Z 'obj_weakref': None 2022-11-23T01:37:55.0113407Z 'guarded_class': None 2022-11-23T01:37:55.0113468Z } 2022-11-23T01:37:55.0113529Z 2022-11-23T01:37:55.0113790Z [2022-11-23 01:33:05,088] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 259 2022-11-23T01:37:55.0114189Z [2022-11-23 01:33:05,090] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2v/c2vxs7sb7moagrv6mmhq7y5aci4x2dpsvh37a4ycez77htfymmtq.py 2022-11-23T01:37:55.0114460Z [2022-11-23 01:33:05,090] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 259 2022-11-23T01:37:55.0114700Z [2022-11-23 01:33:05,093] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0114971Z [2022-11-23 01:33:05,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0115209Z [2022-11-23 01:33:05,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0115452Z [2022-11-23 01:33:05,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:55.0115731Z [2022-11-23 01:33:05,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:55.0116050Z [2022-11-23 01:33:05,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0116298Z [2022-11-23 01:33:05,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.0116535Z [2022-11-23 01:33:05,101] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0116790Z [2022-11-23 01:33:05,102] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0117041Z [2022-11-23 01:33:05,112] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0117235Z [2022-11-23 01:33:05,113] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0117357Z __compiled_fn_267 .2273 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0117447Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0117546Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:55.0117645Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:55.0117651Z 2022-11-23T01:37:55.0117930Z [2022-11-23 01:33:05,113] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0118022Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0118112Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0118203Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0118280Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0118359Z 8 RETURN_VALUE 2022-11-23T01:37:55.0118365Z 2022-11-23T01:37:55.0118423Z 2022-11-23T01:37:55.0118700Z [2022-11-23 01:33:05,113] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0118810Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_267) 2022-11-23T01:37:55.0118903Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0118993Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0119068Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0119143Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0119231Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.0119304Z 12 RETURN_VALUE 2022-11-23T01:37:55.0119310Z 2022-11-23T01:37:55.0119369Z 2022-11-23T01:37:55.0119553Z [2022-11-23 01:33:05,114] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0119626Z - 2022-11-23T01:37:55.0119747Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0119802Z { 2022-11-23T01:37:55.0119945Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0120136Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0120259Z 'obj_weakref': None 2022-11-23T01:37:55.0120517Z 'guarded_class': 2022-11-23T01:37:55.0120585Z } 2022-11-23T01:37:55.0120647Z 2022-11-23T01:37:55.0120705Z - 2022-11-23T01:37:55.0120834Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0120900Z { 2022-11-23T01:37:55.0121046Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0121158Z 'code': None, 2022-11-23T01:37:55.0121375Z 'obj_weakref': 2022-11-23T01:37:55.0121635Z 'guarded_class': 2022-11-23T01:37:55.0121720Z } 2022-11-23T01:37:55.0121787Z 2022-11-23T01:37:55.0121860Z - 2022-11-23T01:37:55.0121984Z local 'model' NN_MODULE 2022-11-23T01:37:55.0122049Z { 2022-11-23T01:37:55.0122186Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0122363Z 'code': ['___check_obj_id(model, 140538741937680)'], 2022-11-23T01:37:55.0122575Z 'obj_weakref': 2022-11-23T01:37:55.0122816Z 'guarded_class': 2022-11-23T01:37:55.0122882Z } 2022-11-23T01:37:55.0122946Z 2022-11-23T01:37:55.0123020Z - 2022-11-23T01:37:55.0123146Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0123215Z { 2022-11-23T01:37:55.0123342Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0123564Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0123690Z 'obj_weakref': None 2022-11-23T01:37:55.0123914Z 'guarded_class': 2022-11-23T01:37:55.0123981Z } 2022-11-23T01:37:55.0124047Z 2022-11-23T01:37:55.0124120Z - 2022-11-23T01:37:55.0124259Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:55.0124327Z { 2022-11-23T01:37:55.0124450Z 'guard_types': None, 2022-11-23T01:37:55.0124562Z 'code': None, 2022-11-23T01:37:55.0124684Z 'obj_weakref': None 2022-11-23T01:37:55.0124810Z 'guarded_class': None 2022-11-23T01:37:55.0124876Z } 2022-11-23T01:37:55.0124928Z 2022-11-23T01:37:55.0125001Z - 2022-11-23T01:37:55.0125150Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:55.0125216Z { 2022-11-23T01:37:55.0125343Z 'guard_types': None, 2022-11-23T01:37:55.0125453Z 'code': None, 2022-11-23T01:37:55.0125562Z 'obj_weakref': None 2022-11-23T01:37:55.0125688Z 'guarded_class': None 2022-11-23T01:37:55.0125754Z } 2022-11-23T01:37:55.0125819Z 2022-11-23T01:37:55.0126084Z [2022-11-23 01:33:05,124] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 260 2022-11-23T01:37:55.0126463Z [2022-11-23 01:33:05,126] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/st/cstgw2hrswoqofpue4onq7fueiwbbdk7kxnkdruhfgltrgr6hiz6.py 2022-11-23T01:37:55.0126732Z [2022-11-23 01:33:05,126] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 260 2022-11-23T01:37:55.0126976Z [2022-11-23 01:33:05,129] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0127234Z [2022-11-23 01:33:05,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0127460Z [2022-11-23 01:33:05,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0127705Z [2022-11-23 01:33:05,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:55.0128020Z [2022-11-23 01:33:05,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:55.0128340Z [2022-11-23 01:33:05,129] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0128592Z [2022-11-23 01:33:05,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.0128829Z [2022-11-23 01:33:05,141] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0129084Z [2022-11-23 01:33:05,142] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0129368Z [2022-11-23 01:33:05,157] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0129563Z [2022-11-23 01:33:05,157] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0129685Z __compiled_fn_268 .2284 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0129775Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0129873Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:55.0129970Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:55.0129975Z 2022-11-23T01:37:55.0130252Z [2022-11-23 01:33:05,158] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0130344Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0130434Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0130513Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0130605Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0130681Z 8 RETURN_VALUE 2022-11-23T01:37:55.0130686Z 2022-11-23T01:37:55.0130748Z 2022-11-23T01:37:55.0131025Z [2022-11-23 01:33:05,158] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0131135Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_268) 2022-11-23T01:37:55.0131226Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0131318Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0131383Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0131470Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0131559Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.0131632Z 12 RETURN_VALUE 2022-11-23T01:37:55.0131637Z 2022-11-23T01:37:55.0131695Z 2022-11-23T01:37:55.0131880Z [2022-11-23 01:33:05,158] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0131954Z - 2022-11-23T01:37:55.0132067Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0132132Z { 2022-11-23T01:37:55.0132275Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0132463Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0132584Z 'obj_weakref': None 2022-11-23T01:37:55.0132810Z 'guarded_class': 2022-11-23T01:37:55.0132875Z } 2022-11-23T01:37:55.0132925Z 2022-11-23T01:37:55.0132995Z - 2022-11-23T01:37:55.0133122Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0133185Z { 2022-11-23T01:37:55.0133329Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0133439Z 'code': None, 2022-11-23T01:37:55.0133654Z 'obj_weakref': 2022-11-23T01:37:55.0133896Z 'guarded_class': 2022-11-23T01:37:55.0133963Z } 2022-11-23T01:37:55.0134024Z 2022-11-23T01:37:55.0134094Z - 2022-11-23T01:37:55.0134216Z local 'model' NN_MODULE 2022-11-23T01:37:55.0134278Z { 2022-11-23T01:37:55.0134415Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0134619Z 'code': ['___check_obj_id(model, 140538441037008)'], 2022-11-23T01:37:55.0134842Z 'obj_weakref': 2022-11-23T01:37:55.0135082Z 'guarded_class': 2022-11-23T01:37:55.0135147Z } 2022-11-23T01:37:55.0135212Z 2022-11-23T01:37:55.0135283Z - 2022-11-23T01:37:55.0135407Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0135458Z { 2022-11-23T01:37:55.0135597Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0135852Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0135972Z 'obj_weakref': None 2022-11-23T01:37:55.0136195Z 'guarded_class': 2022-11-23T01:37:55.0136258Z } 2022-11-23T01:37:55.0136322Z 2022-11-23T01:37:55.0136380Z - 2022-11-23T01:37:55.0136530Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:55.0136593Z { 2022-11-23T01:37:55.0136715Z 'guard_types': None, 2022-11-23T01:37:55.0136825Z 'code': None, 2022-11-23T01:37:55.0136946Z 'obj_weakref': None 2022-11-23T01:37:55.0137068Z 'guarded_class': None 2022-11-23T01:37:55.0137117Z } 2022-11-23T01:37:55.0137178Z 2022-11-23T01:37:55.0137246Z - 2022-11-23T01:37:55.0137391Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:55.0137455Z { 2022-11-23T01:37:55.0137576Z 'guard_types': None, 2022-11-23T01:37:55.0137683Z 'code': None, 2022-11-23T01:37:55.0137790Z 'obj_weakref': None 2022-11-23T01:37:55.0137911Z 'guarded_class': None 2022-11-23T01:37:55.0137972Z } 2022-11-23T01:37:55.0138032Z 2022-11-23T01:37:55.0138296Z [2022-11-23 01:33:05,170] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 261 2022-11-23T01:37:55.0138668Z [2022-11-23 01:33:05,172] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ld/cldrn4yquh7jljfgkz6tnwinn2m6p3q4lsshm6vd5cfky3zmkd6n.py 2022-11-23T01:37:55.0139164Z [2022-11-23 01:33:05,172] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 261 2022-11-23T01:37:55.0139411Z [2022-11-23 01:33:05,175] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0139675Z [2022-11-23 01:33:05,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0139894Z [2022-11-23 01:33:05,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0140138Z [2022-11-23 01:33:05,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:55.0140419Z [2022-11-23 01:33:05,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:55.0140735Z [2022-11-23 01:33:05,175] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0140986Z [2022-11-23 01:33:05,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.0141223Z [2022-11-23 01:33:05,183] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0141479Z [2022-11-23 01:33:05,183] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0141735Z [2022-11-23 01:33:05,193] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0141911Z [2022-11-23 01:33:05,193] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0142108Z __compiled_fn_269 .2295 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0142208Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0142308Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:55.0142406Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:55.0142411Z 2022-11-23T01:37:55.0142692Z [2022-11-23 01:33:05,194] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0142785Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0142875Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0143008Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0143098Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0143174Z 8 RETURN_VALUE 2022-11-23T01:37:55.0143179Z 2022-11-23T01:37:55.0143239Z 2022-11-23T01:37:55.0143518Z [2022-11-23 01:33:05,194] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0143628Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_269) 2022-11-23T01:37:55.0143717Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0143810Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0143874Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0143960Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0144048Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.0144123Z 12 RETURN_VALUE 2022-11-23T01:37:55.0144128Z 2022-11-23T01:37:55.0144188Z 2022-11-23T01:37:55.0144374Z [2022-11-23 01:33:05,194] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0144449Z - 2022-11-23T01:37:55.0144559Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0144624Z { 2022-11-23T01:37:55.0144770Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0144958Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0145082Z 'obj_weakref': None 2022-11-23T01:37:55.0145308Z 'guarded_class': 2022-11-23T01:37:55.0145371Z } 2022-11-23T01:37:55.0145422Z 2022-11-23T01:37:55.0145491Z - 2022-11-23T01:37:55.0145617Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0145679Z { 2022-11-23T01:37:55.0145826Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0145934Z 'code': None, 2022-11-23T01:37:55.0146145Z 'obj_weakref': 2022-11-23T01:37:55.0146391Z 'guarded_class': 2022-11-23T01:37:55.0146454Z } 2022-11-23T01:37:55.0146518Z 2022-11-23T01:37:55.0146588Z - 2022-11-23T01:37:55.0146707Z local 'model' NN_MODULE 2022-11-23T01:37:55.0146769Z { 2022-11-23T01:37:55.0146907Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0147068Z 'code': ['___check_obj_id(model, 140538434903056)'], 2022-11-23T01:37:55.0147292Z 'obj_weakref': 2022-11-23T01:37:55.0147534Z 'guarded_class': 2022-11-23T01:37:55.0147597Z } 2022-11-23T01:37:55.0147659Z 2022-11-23T01:37:55.0147727Z - 2022-11-23T01:37:55.0147852Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0147904Z { 2022-11-23T01:37:55.0148041Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0148338Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0148465Z 'obj_weakref': None 2022-11-23T01:37:55.0148723Z 'guarded_class': 2022-11-23T01:37:55.0148790Z } 2022-11-23T01:37:55.0148855Z 2022-11-23T01:37:55.0148915Z - 2022-11-23T01:37:55.0149064Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:55.0149132Z { 2022-11-23T01:37:55.0149254Z 'guard_types': None, 2022-11-23T01:37:55.0149363Z 'code': None, 2022-11-23T01:37:55.0149482Z 'obj_weakref': None 2022-11-23T01:37:55.0149605Z 'guarded_class': None 2022-11-23T01:37:55.0149655Z } 2022-11-23T01:37:55.0149717Z 2022-11-23T01:37:55.0149823Z - 2022-11-23T01:37:55.0149970Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:55.0150034Z { 2022-11-23T01:37:55.0150158Z 'guard_types': None, 2022-11-23T01:37:55.0150253Z 'code': None, 2022-11-23T01:37:55.0150371Z 'obj_weakref': None 2022-11-23T01:37:55.0150494Z 'guarded_class': None 2022-11-23T01:37:55.0150559Z } 2022-11-23T01:37:55.0150620Z 2022-11-23T01:37:55.0150885Z [2022-11-23 01:33:05,205] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 262 2022-11-23T01:37:55.0151262Z [2022-11-23 01:33:05,207] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4y/c4yjatcqfmcpwhicrssyexstgcwt3ixar5e63pgavc3anpch7jwm.py 2022-11-23T01:37:55.0151525Z [2022-11-23 01:33:05,207] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 262 2022-11-23T01:37:55.0151751Z [2022-11-23 01:33:05,210] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0152022Z [2022-11-23 01:33:05,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0152241Z [2022-11-23 01:33:05,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0152488Z [2022-11-23 01:33:05,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:55.0152770Z [2022-11-23 01:33:05,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:55.0153085Z [2022-11-23 01:33:05,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0153333Z [2022-11-23 01:33:05,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.0153568Z [2022-11-23 01:33:05,220] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0153826Z [2022-11-23 01:33:05,221] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0154064Z [2022-11-23 01:33:05,232] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0154257Z [2022-11-23 01:33:05,232] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0154391Z __compiled_fn_270 .2306 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0154480Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0154578Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:55.0154677Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:55.0154683Z 2022-11-23T01:37:55.0154963Z [2022-11-23 01:33:05,233] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0155056Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0155134Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0155227Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0155316Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0155392Z 8 RETURN_VALUE 2022-11-23T01:37:55.0155396Z 2022-11-23T01:37:55.0155458Z 2022-11-23T01:37:55.0155762Z [2022-11-23 01:33:05,233] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0155873Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_270) 2022-11-23T01:37:55.0155962Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0156038Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0156113Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0156199Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0156288Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.0156361Z 12 RETURN_VALUE 2022-11-23T01:37:55.0156366Z 2022-11-23T01:37:55.0156454Z 2022-11-23T01:37:55.0156639Z [2022-11-23 01:33:05,234] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0156698Z - 2022-11-23T01:37:55.0156816Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0156879Z { 2022-11-23T01:37:55.0157021Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0157209Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0157331Z 'obj_weakref': None 2022-11-23T01:37:55.0157555Z 'guarded_class': 2022-11-23T01:37:55.0157608Z } 2022-11-23T01:37:55.0157669Z 2022-11-23T01:37:55.0157741Z - 2022-11-23T01:37:55.0157864Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0157928Z { 2022-11-23T01:37:55.0158071Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0158179Z 'code': None, 2022-11-23T01:37:55.0158383Z 'obj_weakref': 2022-11-23T01:37:55.0158638Z 'guarded_class': 2022-11-23T01:37:55.0158700Z } 2022-11-23T01:37:55.0158761Z 2022-11-23T01:37:55.0158831Z - 2022-11-23T01:37:55.0158956Z local 'model' NN_MODULE 2022-11-23T01:37:55.0159019Z { 2022-11-23T01:37:55.0159142Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0159311Z 'code': ['___check_obj_id(model, 140538441804560)'], 2022-11-23T01:37:55.0159533Z 'obj_weakref': 2022-11-23T01:37:55.0159770Z 'guarded_class': 2022-11-23T01:37:55.0159834Z } 2022-11-23T01:37:55.0159896Z 2022-11-23T01:37:55.0159966Z - 2022-11-23T01:37:55.0160079Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0160141Z { 2022-11-23T01:37:55.0160278Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0160499Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0160620Z 'obj_weakref': None 2022-11-23T01:37:55.0160844Z 'guarded_class': 2022-11-23T01:37:55.0160908Z } 2022-11-23T01:37:55.0160957Z 2022-11-23T01:37:55.0161024Z - 2022-11-23T01:37:55.0161173Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:55.0161234Z { 2022-11-23T01:37:55.0161356Z 'guard_types': None, 2022-11-23T01:37:55.0161467Z 'code': None, 2022-11-23T01:37:55.0161589Z 'obj_weakref': None 2022-11-23T01:37:55.0161698Z 'guarded_class': None 2022-11-23T01:37:55.0161764Z } 2022-11-23T01:37:55.0161830Z 2022-11-23T01:37:55.0161903Z - 2022-11-23T01:37:55.0162050Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:55.0162115Z { 2022-11-23T01:37:55.0162239Z 'guard_types': None, 2022-11-23T01:37:55.0162334Z 'code': None, 2022-11-23T01:37:55.0162455Z 'obj_weakref': None 2022-11-23T01:37:55.0162611Z 'guarded_class': None 2022-11-23T01:37:55.0162679Z } 2022-11-23T01:37:55.0162742Z 2022-11-23T01:37:55.0163006Z [2022-11-23 01:33:05,244] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 263 2022-11-23T01:37:55.0163378Z [2022-11-23 01:33:05,246] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/q3/cq33vmbrisd4zrqrpc4nyqqvtdz62xxa66bpen7vve4zqbex3uzd.py 2022-11-23T01:37:55.0163632Z [2022-11-23 01:33:05,247] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 263 2022-11-23T01:37:55.0163905Z [2022-11-23 01:33:05,250] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0164177Z [2022-11-23 01:33:05,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0164399Z [2022-11-23 01:33:05,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0164649Z [2022-11-23 01:33:05,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:55.0164930Z [2022-11-23 01:33:05,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:55.0165250Z [2022-11-23 01:33:05,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0165500Z [2022-11-23 01:33:05,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.0165742Z [2022-11-23 01:33:05,254] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0166000Z [2022-11-23 01:33:05,255] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0166240Z [2022-11-23 01:33:05,262] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0166434Z [2022-11-23 01:33:05,262] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0166570Z __compiled_fn_271 .2317 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0166665Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0166766Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:55.0166866Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:55.0166871Z 2022-11-23T01:37:55.0167151Z [2022-11-23 01:33:05,262] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0167248Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0167331Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0167425Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0167516Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0167593Z 8 RETURN_VALUE 2022-11-23T01:37:55.0167598Z 2022-11-23T01:37:55.0167660Z 2022-11-23T01:37:55.0167941Z [2022-11-23 01:33:05,262] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0168052Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_271) 2022-11-23T01:37:55.0168129Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0168224Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0168300Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0168390Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0168484Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.0168562Z 12 RETURN_VALUE 2022-11-23T01:37:55.0168567Z 2022-11-23T01:37:55.0168627Z 2022-11-23T01:37:55.0168815Z [2022-11-23 01:33:05,263] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0168875Z - 2022-11-23T01:37:55.0168996Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0169063Z { 2022-11-23T01:37:55.0169207Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0169425Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0169549Z 'obj_weakref': None 2022-11-23T01:37:55.0169774Z 'guarded_class': 2022-11-23T01:37:55.0169826Z } 2022-11-23T01:37:55.0169888Z 2022-11-23T01:37:55.0169960Z - 2022-11-23T01:37:55.0170084Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0170145Z { 2022-11-23T01:37:55.0170290Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0170418Z 'code': None, 2022-11-23T01:37:55.0170636Z 'obj_weakref': 2022-11-23T01:37:55.0170889Z 'guarded_class': 2022-11-23T01:37:55.0170952Z } 2022-11-23T01:37:55.0171015Z 2022-11-23T01:37:55.0171086Z - 2022-11-23T01:37:55.0171206Z local 'model' NN_MODULE 2022-11-23T01:37:55.0171268Z { 2022-11-23T01:37:55.0171392Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0171564Z 'code': ['___check_obj_id(model, 140538741552656)'], 2022-11-23T01:37:55.0171787Z 'obj_weakref': 2022-11-23T01:37:55.0172025Z 'guarded_class': 2022-11-23T01:37:55.0172090Z } 2022-11-23T01:37:55.0172154Z 2022-11-23T01:37:55.0172223Z - 2022-11-23T01:37:55.0172335Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0172399Z { 2022-11-23T01:37:55.0172536Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0172754Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0172875Z 'obj_weakref': None 2022-11-23T01:37:55.0173100Z 'guarded_class': 2022-11-23T01:37:55.0173162Z } 2022-11-23T01:37:55.0173211Z 2022-11-23T01:37:55.0173283Z - 2022-11-23T01:37:55.0173429Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:55.0173492Z { 2022-11-23T01:37:55.0173613Z 'guard_types': None, 2022-11-23T01:37:55.0173721Z 'code': None, 2022-11-23T01:37:55.0173839Z 'obj_weakref': None 2022-11-23T01:37:55.0173951Z 'guarded_class': None 2022-11-23T01:37:55.0174014Z } 2022-11-23T01:37:55.0174076Z 2022-11-23T01:37:55.0174144Z - 2022-11-23T01:37:55.0174289Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:55.0174350Z { 2022-11-23T01:37:55.0174457Z 'guard_types': None, 2022-11-23T01:37:55.0174565Z 'code': None, 2022-11-23T01:37:55.0174686Z 'obj_weakref': None 2022-11-23T01:37:55.0174810Z 'guarded_class': None 2022-11-23T01:37:55.0174876Z } 2022-11-23T01:37:55.0174937Z 2022-11-23T01:37:55.0175198Z [2022-11-23 01:33:05,273] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 264 2022-11-23T01:37:55.0175204Z 2022-11-23T01:37:55.0175209Z 2022-11-23T01:37:55.0175303Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0175358Z import torch 2022-11-23T01:37:55.0175424Z import random 2022-11-23T01:37:55.0175538Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0175661Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0175666Z 2022-11-23T01:37:55.0175742Z aten = torch.ops.aten 2022-11-23T01:37:55.0175876Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0175966Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0175971Z 2022-11-23T01:37:55.0175975Z 2022-11-23T01:37:55.0176093Z async_compile.wait(globals()) 2022-11-23T01:37:55.0176154Z del async_compile 2022-11-23T01:37:55.0176159Z 2022-11-23T01:37:55.0176227Z def call(args): 2022-11-23T01:37:55.0176301Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.0176370Z args.clear() 2022-11-23T01:37:55.0176585Z buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'tanh', [], '') 2022-11-23T01:37:55.0176654Z del arg0_1 2022-11-23T01:37:55.0176719Z del arg1_1 2022-11-23T01:37:55.0176777Z return (buf0, ) 2022-11-23T01:37:55.0176782Z 2022-11-23T01:37:55.0176786Z 2022-11-23T01:37:55.0176860Z if __name__ == "__main__": 2022-11-23T01:37:55.0177003Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0177127Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0177335Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0177549Z arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0177667Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.0177672Z 2022-11-23T01:37:55.0177676Z 2022-11-23T01:37:55.0177768Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0177824Z import torch 2022-11-23T01:37:55.0177891Z import random 2022-11-23T01:37:55.0178003Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0178121Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0178126Z 2022-11-23T01:37:55.0178202Z aten = torch.ops.aten 2022-11-23T01:37:55.0178334Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0178426Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0178431Z 2022-11-23T01:37:55.0178435Z 2022-11-23T01:37:55.0178519Z async_compile.wait(globals()) 2022-11-23T01:37:55.0178577Z del async_compile 2022-11-23T01:37:55.0178582Z 2022-11-23T01:37:55.0178650Z def call(args): 2022-11-23T01:37:55.0178883Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:55.0179006Z args.clear() 2022-11-23T01:37:55.0179242Z buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'tanh', [], '') 2022-11-23T01:37:55.0179311Z del arg0_1 2022-11-23T01:37:55.0179376Z del arg1_1 2022-11-23T01:37:55.0179428Z del arg2_1 2022-11-23T01:37:55.0179498Z return (buf0, ) 2022-11-23T01:37:55.0179502Z 2022-11-23T01:37:55.0179506Z 2022-11-23T01:37:55.0179580Z if __name__ == "__main__": 2022-11-23T01:37:55.0179694Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0179816Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0180026Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0180225Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0180427Z arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0180536Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:55.0180543Z 2022-11-23T01:37:55.0180547Z 2022-11-23T01:37:55.0180640Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0180709Z import torch 2022-11-23T01:37:55.0180779Z import random 2022-11-23T01:37:55.0180893Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0181015Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0181020Z 2022-11-23T01:37:55.0181096Z aten = torch.ops.aten 2022-11-23T01:37:55.0181228Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0181307Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0181314Z 2022-11-23T01:37:55.0181318Z 2022-11-23T01:37:55.0181403Z async_compile.wait(globals()) 2022-11-23T01:37:55.0181474Z del async_compile 2022-11-23T01:37:55.0181478Z 2022-11-23T01:37:55.0181547Z def call(args): 2022-11-23T01:37:55.0181620Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.0181689Z args.clear() 2022-11-23T01:37:55.0181972Z buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'tanh', [], '') 2022-11-23T01:37:55.0182030Z del arg0_1 2022-11-23T01:37:55.0182096Z del arg1_1 2022-11-23T01:37:55.0182165Z return (buf0, ) 2022-11-23T01:37:55.0182171Z 2022-11-23T01:37:55.0182174Z 2022-11-23T01:37:55.0182250Z if __name__ == "__main__": 2022-11-23T01:37:55.0182362Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0182482Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0182690Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0182892Z arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0183037Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.0183042Z 2022-11-23T01:37:55.0183058Z 2022-11-23T01:37:55.0183139Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0183208Z import torch 2022-11-23T01:37:55.0183278Z import random 2022-11-23T01:37:55.0183395Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0183513Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0183518Z 2022-11-23T01:37:55.0183595Z aten = torch.ops.aten 2022-11-23T01:37:55.0183724Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0183803Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0183808Z 2022-11-23T01:37:55.0183812Z 2022-11-23T01:37:55.0183898Z async_compile.wait(globals()) 2022-11-23T01:37:55.0183969Z del async_compile 2022-11-23T01:37:55.0183974Z 2022-11-23T01:37:55.0184042Z def call(args): 2022-11-23T01:37:55.0184121Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:55.0184192Z args.clear() 2022-11-23T01:37:55.0184418Z buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'hardswish', [], '') 2022-11-23T01:37:55.0184485Z del arg0_1 2022-11-23T01:37:55.0184538Z del arg1_1 2022-11-23T01:37:55.0184601Z del arg2_1 2022-11-23T01:37:55.0184671Z return (buf0, ) 2022-11-23T01:37:55.0184676Z 2022-11-23T01:37:55.0184682Z 2022-11-23T01:37:55.0184758Z if __name__ == "__main__": 2022-11-23T01:37:55.0184870Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0184990Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0185194Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0185381Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0185588Z arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0185710Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:55.0185717Z 2022-11-23T01:37:55.0185722Z 2022-11-23T01:37:55.0185814Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0185883Z import torch 2022-11-23T01:37:55.0185952Z import random 2022-11-23T01:37:55.0186067Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0186188Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0186193Z 2022-11-23T01:37:55.0186257Z aten = torch.ops.aten 2022-11-23T01:37:55.0186387Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0186476Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0186481Z 2022-11-23T01:37:55.0186485Z 2022-11-23T01:37:55.0186571Z async_compile.wait(globals()) 2022-11-23T01:37:55.0186642Z del async_compile 2022-11-23T01:37:55.0186647Z 2022-11-23T01:37:55.0186715Z def call(args): 2022-11-23T01:37:55.0186789Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.0186860Z args.clear() 2022-11-23T01:37:55.0187071Z buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'hardswish', [], '') 2022-11-23T01:37:55.0187143Z del arg0_1 2022-11-23T01:37:55.0187207Z del arg1_1 2022-11-23T01:37:55.0187277Z return (buf0, ) 2022-11-23T01:37:55.0187282Z 2022-11-23T01:37:55.0187286Z 2022-11-23T01:37:55.0187360Z if __name__ == "__main__": 2022-11-23T01:37:55.0187536Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0187658Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0187849Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0188061Z arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0188257Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.0188263Z 2022-11-23T01:37:55.0188267Z 2022-11-23T01:37:55.0188361Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0188430Z import torch 2022-11-23T01:37:55.0188499Z import random 2022-11-23T01:37:55.0188664Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0188783Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0188788Z 2022-11-23T01:37:55.0188853Z aten = torch.ops.aten 2022-11-23T01:37:55.0188982Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0189073Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0189079Z 2022-11-23T01:37:55.0189083Z 2022-11-23T01:37:55.0189169Z async_compile.wait(globals()) 2022-11-23T01:37:55.0189241Z del async_compile 2022-11-23T01:37:55.0189246Z 2022-11-23T01:37:55.0189316Z def call(args): 2022-11-23T01:37:55.0189395Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:55.0189464Z args.clear() 2022-11-23T01:37:55.0189679Z buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'hardswish', [], '') 2022-11-23T01:37:55.0189748Z del arg0_1 2022-11-23T01:37:55.0189813Z del arg1_1 2022-11-23T01:37:55.0189878Z del arg2_1 2022-11-23T01:37:55.0189951Z return (buf0, ) 2022-11-23T01:37:55.0189956Z 2022-11-23T01:37:55.0189959Z 2022-11-23T01:37:55.0190035Z if __name__ == "__main__": 2022-11-23T01:37:55.0190147Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0190271Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0190463Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0190658Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0190859Z arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0190979Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:55.0190984Z 2022-11-23T01:37:55.0190988Z 2022-11-23T01:37:55.0191081Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0191150Z import torch 2022-11-23T01:37:55.0191218Z import random 2022-11-23T01:37:55.0191319Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0191439Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0191444Z 2022-11-23T01:37:55.0191521Z aten = torch.ops.aten 2022-11-23T01:37:55.0191651Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0191740Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0191745Z 2022-11-23T01:37:55.0191749Z 2022-11-23T01:37:55.0191837Z async_compile.wait(globals()) 2022-11-23T01:37:55.0191908Z del async_compile 2022-11-23T01:37:55.0191913Z 2022-11-23T01:37:55.0191980Z def call(args): 2022-11-23T01:37:55.0192053Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.0192110Z args.clear() 2022-11-23T01:37:55.0192330Z buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'hardswish', [], '') 2022-11-23T01:37:55.0192397Z del arg0_1 2022-11-23T01:37:55.0192462Z del arg1_1 2022-11-23T01:37:55.0192531Z return (buf0, ) 2022-11-23T01:37:55.0192535Z 2022-11-23T01:37:55.0192539Z 2022-11-23T01:37:55.0192613Z if __name__ == "__main__": 2022-11-23T01:37:55.0192725Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0192834Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0193036Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0193235Z arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0193376Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.0193382Z 2022-11-23T01:37:55.0193386Z 2022-11-23T01:37:55.0193481Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0193550Z import torch 2022-11-23T01:37:55.0193619Z import random 2022-11-23T01:37:55.0193731Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0193838Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0193843Z 2022-11-23T01:37:55.0193920Z aten = torch.ops.aten 2022-11-23T01:37:55.0194050Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0194168Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0194172Z 2022-11-23T01:37:55.0194176Z 2022-11-23T01:37:55.0194261Z async_compile.wait(globals()) 2022-11-23T01:37:55.0194333Z del async_compile 2022-11-23T01:37:55.0194338Z 2022-11-23T01:37:55.0194408Z def call(args): 2022-11-23T01:37:55.0194486Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:55.0194543Z args.clear() 2022-11-23T01:37:55.0194776Z buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'leaky_relu', [0.1], '') 2022-11-23T01:37:55.0194843Z del arg0_1 2022-11-23T01:37:55.0194910Z del arg1_1 2022-11-23T01:37:55.0194975Z del arg2_1 2022-11-23T01:37:55.0195046Z return (buf0, ) 2022-11-23T01:37:55.0195051Z 2022-11-23T01:37:55.0195055Z 2022-11-23T01:37:55.0195127Z if __name__ == "__main__": 2022-11-23T01:37:55.0195227Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0195347Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0195553Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0195756Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0195965Z arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0196090Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:55.0196095Z 2022-11-23T01:37:55.0196101Z 2022-11-23T01:37:55.0196197Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0196270Z import torch 2022-11-23T01:37:55.0196328Z import random 2022-11-23T01:37:55.0196443Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0196564Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0196569Z 2022-11-23T01:37:55.0196649Z aten = torch.ops.aten 2022-11-23T01:37:55.0196782Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0196875Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0196880Z 2022-11-23T01:37:55.0196887Z 2022-11-23T01:37:55.0196975Z async_compile.wait(globals()) 2022-11-23T01:37:55.0197050Z del async_compile 2022-11-23T01:37:55.0197055Z 2022-11-23T01:37:55.0197114Z def call(args): 2022-11-23T01:37:55.0197188Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.0197259Z args.clear() 2022-11-23T01:37:55.0197493Z buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'leaky_relu', [0.1], '') 2022-11-23T01:37:55.0197564Z del arg0_1 2022-11-23T01:37:55.0197634Z del arg1_1 2022-11-23T01:37:55.0197704Z return (buf0, ) 2022-11-23T01:37:55.0197709Z 2022-11-23T01:37:55.0197712Z 2022-11-23T01:37:55.0203954Z if __name__ == "__main__": 2022-11-23T01:37:55.0204109Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0204241Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0204463Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0204678Z arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0204801Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.0205176Z [2022-11-23 01:33:05,275] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/c5/cc5x6pianjnp52h67rhgu4w3d5ch2e3vtctgv5zobt2vpyh4cwdi.py 2022-11-23T01:37:55.0205522Z [2022-11-23 01:33:05,275] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 264 2022-11-23T01:37:55.0205771Z [2022-11-23 01:33:05,278] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0206046Z [2022-11-23 01:33:05,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0206270Z [2022-11-23 01:33:05,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0206501Z [2022-11-23 01:33:05,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:55.0206784Z [2022-11-23 01:33:05,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:55.0207150Z [2022-11-23 01:33:05,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0207403Z [2022-11-23 01:33:05,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.0207641Z [2022-11-23 01:33:05,287] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0207901Z [2022-11-23 01:33:05,288] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0208156Z [2022-11-23 01:33:05,299] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0208349Z [2022-11-23 01:33:05,299] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0208483Z __compiled_fn_272 .2328 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0208563Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0208662Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:55.0208807Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:55.0208817Z 2022-11-23T01:37:55.0209198Z [2022-11-23 01:33:05,299] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0209298Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0209389Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0209482Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0209572Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0209636Z 8 RETURN_VALUE 2022-11-23T01:37:55.0209642Z 2022-11-23T01:37:55.0209703Z 2022-11-23T01:37:55.0209985Z [2022-11-23 01:33:05,299] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0210100Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_272) 2022-11-23T01:37:55.0210189Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0210278Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0210355Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0210441Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0210522Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.0210598Z 12 RETURN_VALUE 2022-11-23T01:37:55.0210603Z 2022-11-23T01:37:55.0210663Z 2022-11-23T01:37:55.0210849Z [2022-11-23 01:33:05,300] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0210922Z - 2022-11-23T01:37:55.0211042Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0211106Z { 2022-11-23T01:37:55.0211237Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0211427Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0211551Z 'obj_weakref': None 2022-11-23T01:37:55.0211783Z 'guarded_class': 2022-11-23T01:37:55.0211849Z } 2022-11-23T01:37:55.0211913Z 2022-11-23T01:37:55.0211982Z - 2022-11-23T01:37:55.0212097Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0212160Z { 2022-11-23T01:37:55.0212345Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0212459Z 'code': None, 2022-11-23T01:37:55.0212674Z 'obj_weakref': 2022-11-23T01:37:55.0212930Z 'guarded_class': 2022-11-23T01:37:55.0212993Z } 2022-11-23T01:37:55.0213043Z 2022-11-23T01:37:55.0213116Z - 2022-11-23T01:37:55.0213240Z local 'model' NN_MODULE 2022-11-23T01:37:55.0213303Z { 2022-11-23T01:37:55.0213472Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0213646Z 'code': ['___check_obj_id(model, 140538441803216)'], 2022-11-23T01:37:55.0213871Z 'obj_weakref': 2022-11-23T01:37:55.0214097Z 'guarded_class': 2022-11-23T01:37:55.0214165Z } 2022-11-23T01:37:55.0214229Z 2022-11-23T01:37:55.0214300Z - 2022-11-23T01:37:55.0214424Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0214488Z { 2022-11-23T01:37:55.0214629Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0214836Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0214957Z 'obj_weakref': None 2022-11-23T01:37:55.0215184Z 'guarded_class': 2022-11-23T01:37:55.0215253Z } 2022-11-23T01:37:55.0215315Z 2022-11-23T01:37:55.0215386Z - 2022-11-23T01:37:55.0215536Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:55.0215586Z { 2022-11-23T01:37:55.0215707Z 'guard_types': None, 2022-11-23T01:37:55.0215820Z 'code': None, 2022-11-23T01:37:55.0215944Z 'obj_weakref': None 2022-11-23T01:37:55.0216069Z 'guarded_class': None 2022-11-23T01:37:55.0216133Z } 2022-11-23T01:37:55.0216195Z 2022-11-23T01:37:55.0216252Z - 2022-11-23T01:37:55.0216398Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:55.0216463Z { 2022-11-23T01:37:55.0216584Z 'guard_types': None, 2022-11-23T01:37:55.0216692Z 'code': None, 2022-11-23T01:37:55.0216812Z 'obj_weakref': None 2022-11-23T01:37:55.0216923Z 'guarded_class': None 2022-11-23T01:37:55.0216986Z } 2022-11-23T01:37:55.0217051Z 2022-11-23T01:37:55.0217319Z [2022-11-23 01:33:05,311] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 265 2022-11-23T01:37:55.0217690Z [2022-11-23 01:33:05,313] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sm/csmnkocuix5rivkcwrylk4ult3c2j6ufbmnm2xylyfoe5sld6tjt.py 2022-11-23T01:37:55.0217960Z [2022-11-23 01:33:05,313] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 265 2022-11-23T01:37:55.0218201Z [2022-11-23 01:33:05,316] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0218475Z [2022-11-23 01:33:05,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0218698Z [2022-11-23 01:33:05,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0219146Z [2022-11-23 01:33:05,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:55.0219448Z [2022-11-23 01:33:05,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:55.0219918Z [2022-11-23 01:33:05,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0220248Z [2022-11-23 01:33:05,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.0220492Z [2022-11-23 01:33:05,320] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0220750Z [2022-11-23 01:33:05,321] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0221004Z [2022-11-23 01:33:05,327] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0221196Z [2022-11-23 01:33:05,327] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0221377Z __compiled_fn_273 .2339 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0221455Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0221556Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:55.0221654Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:55.0221660Z 2022-11-23T01:37:55.0221947Z [2022-11-23 01:33:05,327] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0222043Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0222134Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0222226Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0222317Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0222381Z 8 RETURN_VALUE 2022-11-23T01:37:55.0222387Z 2022-11-23T01:37:55.0222448Z 2022-11-23T01:37:55.0222725Z [2022-11-23 01:33:05,327] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0222837Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_273) 2022-11-23T01:37:55.0222927Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0223016Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0223093Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0223168Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0223261Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.0223336Z 12 RETURN_VALUE 2022-11-23T01:37:55.0223341Z 2022-11-23T01:37:55.0223401Z 2022-11-23T01:37:55.0223588Z [2022-11-23 01:33:05,328] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0223661Z - 2022-11-23T01:37:55.0223783Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0223835Z { 2022-11-23T01:37:55.0223981Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0224170Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0224298Z 'obj_weakref': None 2022-11-23T01:37:55.0224526Z 'guarded_class': 2022-11-23T01:37:55.0224591Z } 2022-11-23T01:37:55.0224654Z 2022-11-23T01:37:55.0224712Z - 2022-11-23T01:37:55.0224839Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0224904Z { 2022-11-23T01:37:55.0225051Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0225160Z 'code': None, 2022-11-23T01:37:55.0225376Z 'obj_weakref': 2022-11-23T01:37:55.0225633Z 'guarded_class': 2022-11-23T01:37:55.0225685Z } 2022-11-23T01:37:55.0225748Z 2022-11-23T01:37:55.0225818Z - 2022-11-23T01:37:55.0225943Z local 'model' NN_MODULE 2022-11-23T01:37:55.0226009Z { 2022-11-23T01:37:55.0226145Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0226318Z 'code': ['___check_obj_id(model, 140538741552656)'], 2022-11-23T01:37:55.0226531Z 'obj_weakref': 2022-11-23T01:37:55.0226801Z 'guarded_class': 2022-11-23T01:37:55.0226868Z } 2022-11-23T01:37:55.0226931Z 2022-11-23T01:37:55.0227002Z - 2022-11-23T01:37:55.0227129Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0227191Z { 2022-11-23T01:37:55.0227317Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0227537Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0227658Z 'obj_weakref': None 2022-11-23T01:37:55.0227880Z 'guarded_class': 2022-11-23T01:37:55.0227978Z } 2022-11-23T01:37:55.0228041Z 2022-11-23T01:37:55.0228178Z - 2022-11-23T01:37:55.0228322Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:55.0228387Z { 2022-11-23T01:37:55.0228511Z 'guard_types': None, 2022-11-23T01:37:55.0228623Z 'code': None, 2022-11-23T01:37:55.0228748Z 'obj_weakref': None 2022-11-23T01:37:55.0228873Z 'guarded_class': None 2022-11-23T01:37:55.0228936Z } 2022-11-23T01:37:55.0228986Z 2022-11-23T01:37:55.0229056Z - 2022-11-23T01:37:55.0229203Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:55.0229269Z { 2022-11-23T01:37:55.0229390Z 'guard_types': None, 2022-11-23T01:37:55.0229500Z 'code': None, 2022-11-23T01:37:55.0229621Z 'obj_weakref': None 2022-11-23T01:37:55.0229733Z 'guarded_class': None 2022-11-23T01:37:55.0229797Z } 2022-11-23T01:37:55.0229860Z 2022-11-23T01:37:55.0230128Z [2022-11-23 01:33:05,338] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 266 2022-11-23T01:37:55.0230506Z [2022-11-23 01:33:05,340] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hn/chn4hksjwj3cmvmr5pv5mhytkhnrkdjxsxl7vozsvdcqd2wbuobu.py 2022-11-23T01:37:55.0230776Z [2022-11-23 01:33:05,340] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 266 2022-11-23T01:37:55.0231017Z [2022-11-23 01:33:05,343] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0231288Z [2022-11-23 01:33:05,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0231495Z [2022-11-23 01:33:05,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0231741Z [2022-11-23 01:33:05,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:55.0232019Z [2022-11-23 01:33:05,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:55.0232341Z [2022-11-23 01:33:05,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0232592Z [2022-11-23 01:33:05,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.0232829Z [2022-11-23 01:33:05,353] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0233086Z [2022-11-23 01:33:05,354] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0233339Z [2022-11-23 01:33:05,366] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0233534Z [2022-11-23 01:33:05,366] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0233657Z __compiled_fn_274 .2350 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0233746Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0233844Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:55.0233943Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:55.0233986Z 2022-11-23T01:37:55.0234268Z [2022-11-23 01:33:05,367] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0234363Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0234453Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0234545Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0234622Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0234699Z 8 RETURN_VALUE 2022-11-23T01:37:55.0234704Z 2022-11-23T01:37:55.0234764Z 2022-11-23T01:37:55.0235073Z [2022-11-23 01:33:05,367] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0235182Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_274) 2022-11-23T01:37:55.0235272Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0235360Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0235440Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0235517Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0235606Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.0235682Z 12 RETURN_VALUE 2022-11-23T01:37:55.0235687Z 2022-11-23T01:37:55.0235747Z 2022-11-23T01:37:55.0235935Z [2022-11-23 01:33:05,367] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0236008Z - 2022-11-23T01:37:55.0236130Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0236181Z { 2022-11-23T01:37:55.0236325Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0236517Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0236643Z 'obj_weakref': None 2022-11-23T01:37:55.0236869Z 'guarded_class': 2022-11-23T01:37:55.0236933Z } 2022-11-23T01:37:55.0236996Z 2022-11-23T01:37:55.0237056Z - 2022-11-23T01:37:55.0237182Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0237242Z { 2022-11-23T01:37:55.0237397Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0237508Z 'code': None, 2022-11-23T01:37:55.0237710Z 'obj_weakref': 2022-11-23T01:37:55.0237964Z 'guarded_class': 2022-11-23T01:37:55.0238027Z } 2022-11-23T01:37:55.0238088Z 2022-11-23T01:37:55.0238163Z - 2022-11-23T01:37:55.0238284Z local 'model' NN_MODULE 2022-11-23T01:37:55.0238347Z { 2022-11-23T01:37:55.0238470Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0238643Z 'code': ['___check_obj_id(model, 140538441803216)'], 2022-11-23T01:37:55.0238868Z 'obj_weakref': 2022-11-23T01:37:55.0239105Z 'guarded_class': 2022-11-23T01:37:55.0239168Z } 2022-11-23T01:37:55.0239231Z 2022-11-23T01:37:55.0239300Z - 2022-11-23T01:37:55.0239411Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0239473Z { 2022-11-23T01:37:55.0239611Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0239829Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0239949Z 'obj_weakref': None 2022-11-23T01:37:55.0240175Z 'guarded_class': 2022-11-23T01:37:55.0240237Z } 2022-11-23T01:37:55.0240287Z 2022-11-23T01:37:55.0240356Z - 2022-11-23T01:37:55.0240503Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:55.0240567Z { 2022-11-23T01:37:55.0240720Z 'guard_types': None, 2022-11-23T01:37:55.0240834Z 'code': None, 2022-11-23T01:37:55.0240956Z 'obj_weakref': None 2022-11-23T01:37:55.0241068Z 'guarded_class': None 2022-11-23T01:37:55.0241132Z } 2022-11-23T01:37:55.0241195Z 2022-11-23T01:37:55.0241267Z - 2022-11-23T01:37:55.0241415Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:55.0241480Z { 2022-11-23T01:37:55.0241589Z 'guard_types': None, 2022-11-23T01:37:55.0241699Z 'code': None, 2022-11-23T01:37:55.0241867Z 'obj_weakref': None 2022-11-23T01:37:55.0241992Z 'guarded_class': None 2022-11-23T01:37:55.0242057Z } 2022-11-23T01:37:55.0242120Z 2022-11-23T01:37:55.0242388Z [2022-11-23 01:33:05,378] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 267 2022-11-23T01:37:55.0242764Z [2022-11-23 01:33:05,381] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lb/clbztumvxzpux2da4tqo3tmi2zcdfuoi3mniatg5zljuedb3ou4n.py 2022-11-23T01:37:55.0243017Z [2022-11-23 01:33:05,381] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 267 2022-11-23T01:37:55.0243257Z [2022-11-23 01:33:05,384] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0243530Z [2022-11-23 01:33:05,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0243752Z [2022-11-23 01:33:05,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0244003Z [2022-11-23 01:33:05,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:55.0244286Z [2022-11-23 01:33:05,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:55.0244604Z [2022-11-23 01:33:05,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0244855Z [2022-11-23 01:33:05,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.0245093Z [2022-11-23 01:33:05,389] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0245334Z [2022-11-23 01:33:05,390] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0245589Z [2022-11-23 01:33:05,397] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0245783Z [2022-11-23 01:33:05,398] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0245920Z __compiled_fn_275 .2361 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0246011Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0246111Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:55.0246212Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:55.0246217Z 2022-11-23T01:37:55.0246498Z [2022-11-23 01:33:05,398] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0246595Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0246673Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0246768Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0246858Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0246933Z 8 RETURN_VALUE 2022-11-23T01:37:55.0246942Z 2022-11-23T01:37:55.0247005Z 2022-11-23T01:37:55.0247282Z [2022-11-23 01:33:05,398] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0247394Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_275) 2022-11-23T01:37:55.0247471Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0247591Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0247672Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0247762Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0247853Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.0247934Z 12 RETURN_VALUE 2022-11-23T01:37:55.0247939Z 2022-11-23T01:37:55.0248001Z 2022-11-23T01:37:55.0248175Z [2022-11-23 01:33:05,399] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0248245Z - 2022-11-23T01:37:55.0248369Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0248437Z { 2022-11-23T01:37:55.0248614Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0248805Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0248930Z 'obj_weakref': None 2022-11-23T01:37:55.0249143Z 'guarded_class': 2022-11-23T01:37:55.0249211Z } 2022-11-23T01:37:55.0249277Z 2022-11-23T01:37:55.0249346Z - 2022-11-23T01:37:55.0249474Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0249538Z { 2022-11-23T01:37:55.0249681Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0249778Z 'code': None, 2022-11-23T01:37:55.0249991Z 'obj_weakref': 2022-11-23T01:37:55.0250243Z 'guarded_class': 2022-11-23T01:37:55.0250313Z } 2022-11-23T01:37:55.0250377Z 2022-11-23T01:37:55.0250447Z - 2022-11-23T01:37:55.0250567Z local 'model' NN_MODULE 2022-11-23T01:37:55.0250618Z { 2022-11-23T01:37:55.0250752Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0250928Z 'code': ['___check_obj_id(model, 140538440157264)'], 2022-11-23T01:37:55.0251155Z 'obj_weakref': 2022-11-23T01:37:55.0251393Z 'guarded_class': 2022-11-23T01:37:55.0251460Z } 2022-11-23T01:37:55.0251520Z 2022-11-23T01:37:55.0251577Z - 2022-11-23T01:37:55.0251700Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0251762Z { 2022-11-23T01:37:55.0251899Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0252116Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0252240Z 'obj_weakref': None 2022-11-23T01:37:55.0252461Z 'guarded_class': 2022-11-23T01:37:55.0252523Z } 2022-11-23T01:37:55.0252573Z 2022-11-23T01:37:55.0252643Z - 2022-11-23T01:37:55.0252791Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:55.0252852Z { 2022-11-23T01:37:55.0252973Z 'guard_types': None, 2022-11-23T01:37:55.0253082Z 'code': None, 2022-11-23T01:37:55.0253189Z 'obj_weakref': None 2022-11-23T01:37:55.0253312Z 'guarded_class': None 2022-11-23T01:37:55.0253377Z } 2022-11-23T01:37:55.0253441Z 2022-11-23T01:37:55.0253511Z - 2022-11-23T01:37:55.0253658Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:55.0253719Z { 2022-11-23T01:37:55.0253828Z 'guard_types': None, 2022-11-23T01:37:55.0253936Z 'code': None, 2022-11-23T01:37:55.0254055Z 'obj_weakref': None 2022-11-23T01:37:55.0254179Z 'guarded_class': None 2022-11-23T01:37:55.0254242Z } 2022-11-23T01:37:55.0254305Z 2022-11-23T01:37:55.0254596Z [2022-11-23 01:33:05,410] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 268 2022-11-23T01:37:55.0254953Z [2022-11-23 01:33:05,412] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nn/cnn57f646huilzezbrgefuq2a3zvbyrkhlbyfgmslnot26q75v2m.py 2022-11-23T01:37:55.0255219Z [2022-11-23 01:33:05,412] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 268 2022-11-23T01:37:55.0255457Z [2022-11-23 01:33:05,415] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0255730Z [2022-11-23 01:33:05,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0255981Z [2022-11-23 01:33:05,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0256225Z [2022-11-23 01:33:05,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:55.0256505Z [2022-11-23 01:33:05,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:55.0256821Z [2022-11-23 01:33:05,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0257069Z [2022-11-23 01:33:05,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.0257304Z [2022-11-23 01:33:05,425] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0257545Z [2022-11-23 01:33:05,426] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0257799Z [2022-11-23 01:33:05,437] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0257989Z [2022-11-23 01:33:05,437] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0258123Z __compiled_fn_276 .2372 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0258212Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0258312Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:55.0258412Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:55.0258418Z 2022-11-23T01:37:55.0258699Z [2022-11-23 01:33:05,438] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0258926Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0259061Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0259161Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0259252Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0259335Z 8 RETURN_VALUE 2022-11-23T01:37:55.0259341Z 2022-11-23T01:37:55.0259401Z 2022-11-23T01:37:55.0259690Z [2022-11-23 01:33:05,438] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0259799Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_276) 2022-11-23T01:37:55.0259878Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0259967Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0260043Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0260131Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0260220Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.0260293Z 12 RETURN_VALUE 2022-11-23T01:37:55.0260298Z 2022-11-23T01:37:55.0260355Z 2022-11-23T01:37:55.0260527Z [2022-11-23 01:33:05,439] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0260598Z - 2022-11-23T01:37:55.0260720Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0260786Z { 2022-11-23T01:37:55.0260927Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0261115Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0261238Z 'obj_weakref': None 2022-11-23T01:37:55.0261512Z 'guarded_class': 2022-11-23T01:37:55.0261580Z } 2022-11-23T01:37:55.0261644Z 2022-11-23T01:37:55.0261717Z - 2022-11-23T01:37:55.0261846Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0261909Z { 2022-11-23T01:37:55.0262054Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0262150Z 'code': None, 2022-11-23T01:37:55.0262367Z 'obj_weakref': 2022-11-23T01:37:55.0262626Z 'guarded_class': 2022-11-23T01:37:55.0262730Z } 2022-11-23T01:37:55.0262792Z 2022-11-23T01:37:55.0262864Z - 2022-11-23T01:37:55.0262987Z local 'model' NN_MODULE 2022-11-23T01:37:55.0263039Z { 2022-11-23T01:37:55.0263173Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0263348Z 'code': ['___check_obj_id(model, 140538441804560)'], 2022-11-23T01:37:55.0263571Z 'obj_weakref': 2022-11-23T01:37:55.0263809Z 'guarded_class': 2022-11-23T01:37:55.0263871Z } 2022-11-23T01:37:55.0263932Z 2022-11-23T01:37:55.0263988Z - 2022-11-23T01:37:55.0264110Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0264174Z { 2022-11-23T01:37:55.0264312Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0264536Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0264656Z 'obj_weakref': None 2022-11-23T01:37:55.0264878Z 'guarded_class': 2022-11-23T01:37:55.0264928Z } 2022-11-23T01:37:55.0264989Z 2022-11-23T01:37:55.0265059Z - 2022-11-23T01:37:55.0265208Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:55.0265273Z { 2022-11-23T01:37:55.0265393Z 'guard_types': None, 2022-11-23T01:37:55.0265500Z 'code': None, 2022-11-23T01:37:55.0265606Z 'obj_weakref': None 2022-11-23T01:37:55.0265729Z 'guarded_class': None 2022-11-23T01:37:55.0265791Z } 2022-11-23T01:37:55.0265854Z 2022-11-23T01:37:55.0265924Z - 2022-11-23T01:37:55.0266070Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:55.0266120Z { 2022-11-23T01:37:55.0266244Z 'guard_types': None, 2022-11-23T01:37:55.0266351Z 'code': None, 2022-11-23T01:37:55.0266469Z 'obj_weakref': None 2022-11-23T01:37:55.0266590Z 'guarded_class': None 2022-11-23T01:37:55.0266653Z } 2022-11-23T01:37:55.0266713Z 2022-11-23T01:37:55.0266968Z [2022-11-23 01:33:05,449] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 269 2022-11-23T01:37:55.0267329Z [2022-11-23 01:33:05,451] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/f6/cf67dh6u52kkc4v6sdwgd2dw2tj363z6gxd764hwujd7yzrg454w.py 2022-11-23T01:37:55.0267594Z [2022-11-23 01:33:05,451] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 269 2022-11-23T01:37:55.0267833Z [2022-11-23 01:33:05,454] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0268173Z [2022-11-23 01:33:05,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0268407Z [2022-11-23 01:33:05,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0268651Z [2022-11-23 01:33:05,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:55.0268966Z [2022-11-23 01:33:05,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:55.0269292Z [2022-11-23 01:33:05,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0269541Z [2022-11-23 01:33:05,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.0269763Z [2022-11-23 01:33:05,458] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0270016Z [2022-11-23 01:33:05,459] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0270300Z [2022-11-23 01:33:05,466] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0270491Z [2022-11-23 01:33:05,466] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0270625Z __compiled_fn_277 .2383 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0270717Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0270817Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:55.0270914Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:55.0270920Z 2022-11-23T01:37:55.0271183Z [2022-11-23 01:33:05,466] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0271277Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0271368Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0271458Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0271549Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0271624Z 8 RETURN_VALUE 2022-11-23T01:37:55.0271629Z 2022-11-23T01:37:55.0271688Z 2022-11-23T01:37:55.0271962Z [2022-11-23 01:33:05,466] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0272063Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_277) 2022-11-23T01:37:55.0272152Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0272240Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0272317Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0272404Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0272493Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.0272567Z 12 RETURN_VALUE 2022-11-23T01:37:55.0272572Z 2022-11-23T01:37:55.0272618Z 2022-11-23T01:37:55.0272803Z [2022-11-23 01:33:05,467] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0272877Z - 2022-11-23T01:37:55.0272997Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0273060Z { 2022-11-23T01:37:55.0273201Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0273390Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0273500Z 'obj_weakref': None 2022-11-23T01:37:55.0273727Z 'guarded_class': 2022-11-23T01:37:55.0273793Z } 2022-11-23T01:37:55.0273856Z 2022-11-23T01:37:55.0273926Z - 2022-11-23T01:37:55.0274052Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0274115Z { 2022-11-23T01:37:55.0274246Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0274354Z 'code': None, 2022-11-23T01:37:55.0274567Z 'obj_weakref': 2022-11-23T01:37:55.0274824Z 'guarded_class': 2022-11-23T01:37:55.0274887Z } 2022-11-23T01:37:55.0274949Z 2022-11-23T01:37:55.0275020Z - 2022-11-23T01:37:55.0275130Z local 'model' NN_MODULE 2022-11-23T01:37:55.0275193Z { 2022-11-23T01:37:55.0275356Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0275532Z 'code': ['___check_obj_id(model, 140538432794512)'], 2022-11-23T01:37:55.0275755Z 'obj_weakref': 2022-11-23T01:37:55.0275993Z 'guarded_class': 2022-11-23T01:37:55.0276057Z } 2022-11-23T01:37:55.0276119Z 2022-11-23T01:37:55.0276178Z - 2022-11-23T01:37:55.0276303Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0276368Z { 2022-11-23T01:37:55.0276539Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0276758Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0276878Z 'obj_weakref': None 2022-11-23T01:37:55.0277101Z 'guarded_class': 2022-11-23T01:37:55.0277157Z } 2022-11-23T01:37:55.0277218Z 2022-11-23T01:37:55.0277288Z - 2022-11-23T01:37:55.0277434Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:55.0277497Z { 2022-11-23T01:37:55.0277618Z 'guard_types': None, 2022-11-23T01:37:55.0277715Z 'code': None, 2022-11-23T01:37:55.0277833Z 'obj_weakref': None 2022-11-23T01:37:55.0277956Z 'guarded_class': None 2022-11-23T01:37:55.0278020Z } 2022-11-23T01:37:55.0278082Z 2022-11-23T01:37:55.0278153Z - 2022-11-23T01:37:55.0278299Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:55.0278351Z { 2022-11-23T01:37:55.0278472Z 'guard_types': None, 2022-11-23T01:37:55.0278579Z 'code': None, 2022-11-23T01:37:55.0278698Z 'obj_weakref': None 2022-11-23T01:37:55.0278820Z 'guarded_class': None 2022-11-23T01:37:55.0278883Z } 2022-11-23T01:37:55.0278946Z 2022-11-23T01:37:55.0279196Z [2022-11-23 01:33:05,477] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 270 2022-11-23T01:37:55.0279568Z [2022-11-23 01:33:05,478] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jj/cjj7odzpwmgrbu3q7jcrlfenwxk23e5uzpqkxutv56xya2bvg4ah.py 2022-11-23T01:37:55.0279833Z [2022-11-23 01:33:05,478] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 270 2022-11-23T01:37:55.0280072Z [2022-11-23 01:33:05,482] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0280346Z [2022-11-23 01:33:05,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0280566Z [2022-11-23 01:33:05,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0280814Z [2022-11-23 01:33:05,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:55.0281092Z [2022-11-23 01:33:05,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:55.0281408Z [2022-11-23 01:33:05,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0281642Z [2022-11-23 01:33:05,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.0281878Z [2022-11-23 01:33:05,491] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0282134Z [2022-11-23 01:33:05,492] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0282386Z [2022-11-23 01:33:05,504] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0282576Z [2022-11-23 01:33:05,504] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0282738Z __compiled_fn_278 .2394 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0282833Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0282935Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:55.0283022Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:55.0283041Z 2022-11-23T01:37:55.0283307Z [2022-11-23 01:33:05,504] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0283405Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0283496Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0283623Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0283714Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0283792Z 8 RETURN_VALUE 2022-11-23T01:37:55.0283797Z 2022-11-23T01:37:55.0283860Z 2022-11-23T01:37:55.0284124Z [2022-11-23 01:33:05,504] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0284234Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_278) 2022-11-23T01:37:55.0284325Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0284416Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0284494Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0284583Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0284675Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.0284750Z 12 RETURN_VALUE 2022-11-23T01:37:55.0284755Z 2022-11-23T01:37:55.0284801Z 2022-11-23T01:37:55.0284991Z [2022-11-23 01:33:05,505] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0285065Z - 2022-11-23T01:37:55.0285187Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0285253Z { 2022-11-23T01:37:55.0285397Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0285588Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0285699Z 'obj_weakref': None 2022-11-23T01:37:55.0285926Z 'guarded_class': 2022-11-23T01:37:55.0285994Z } 2022-11-23T01:37:55.0286060Z 2022-11-23T01:37:55.0286132Z - 2022-11-23T01:37:55.0286260Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0286325Z { 2022-11-23T01:37:55.0286457Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0286567Z 'code': None, 2022-11-23T01:37:55.0286785Z 'obj_weakref': 2022-11-23T01:37:55.0287049Z 'guarded_class': 2022-11-23T01:37:55.0287115Z } 2022-11-23T01:37:55.0287181Z 2022-11-23T01:37:55.0287254Z - 2022-11-23T01:37:55.0287362Z local 'model' NN_MODULE 2022-11-23T01:37:55.0287430Z { 2022-11-23T01:37:55.0287568Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0287741Z 'code': ['___check_obj_id(model, 140538441652432)'], 2022-11-23T01:37:55.0287967Z 'obj_weakref': 2022-11-23T01:37:55.0288206Z 'guarded_class': 2022-11-23T01:37:55.0288271Z } 2022-11-23T01:37:55.0288322Z 2022-11-23T01:37:55.0288395Z - 2022-11-23T01:37:55.0288521Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0288590Z { 2022-11-23T01:37:55.0288729Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0288950Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0289072Z 'obj_weakref': None 2022-11-23T01:37:55.0289309Z 'guarded_class': 2022-11-23T01:37:55.0289376Z } 2022-11-23T01:37:55.0289439Z 2022-11-23T01:37:55.0289514Z - 2022-11-23T01:37:55.0289660Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:55.0289724Z { 2022-11-23T01:37:55.0289846Z 'guard_types': None, 2022-11-23T01:37:55.0289942Z 'code': None, 2022-11-23T01:37:55.0290059Z 'obj_weakref': None 2022-11-23T01:37:55.0290183Z 'guarded_class': None 2022-11-23T01:37:55.0290263Z } 2022-11-23T01:37:55.0290364Z 2022-11-23T01:37:55.0290547Z - 2022-11-23T01:37:55.0290689Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:55.0290754Z { 2022-11-23T01:37:55.0290874Z 'guard_types': None, 2022-11-23T01:37:55.0290984Z 'code': None, 2022-11-23T01:37:55.0291104Z 'obj_weakref': None 2022-11-23T01:37:55.0291228Z 'guarded_class': None 2022-11-23T01:37:55.0291291Z } 2022-11-23T01:37:55.0291341Z 2022-11-23T01:37:55.0291607Z [2022-11-23 01:33:05,515] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 271 2022-11-23T01:37:55.0291978Z [2022-11-23 01:33:05,517] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wi/cwiscosbsh7svuge74zkaolptmv4acohjbkgz2gmoa57dgaucexz.py 2022-11-23T01:37:55.0292247Z [2022-11-23 01:33:05,517] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 271 2022-11-23T01:37:55.0292485Z [2022-11-23 01:33:05,521] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0292760Z [2022-11-23 01:33:05,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0292980Z [2022-11-23 01:33:05,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0293228Z [2022-11-23 01:33:05,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:55.0293509Z [2022-11-23 01:33:05,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:55.0293812Z [2022-11-23 01:33:05,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0294061Z [2022-11-23 01:33:05,525] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.0294294Z [2022-11-23 01:33:05,525] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0294553Z [2022-11-23 01:33:05,526] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0294803Z [2022-11-23 01:33:05,533] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0294998Z [2022-11-23 01:33:05,533] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0295132Z __compiled_fn_279 .2405 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0295223Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0295321Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:55.0295406Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:55.0295412Z 2022-11-23T01:37:55.0295688Z [2022-11-23 01:33:05,533] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0295781Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0295875Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0295967Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0296054Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0296128Z 8 RETURN_VALUE 2022-11-23T01:37:55.0296134Z 2022-11-23T01:37:55.0296194Z 2022-11-23T01:37:55.0296489Z [2022-11-23 01:33:05,533] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0296603Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_279) 2022-11-23T01:37:55.0296693Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0296780Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0296856Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0296942Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0297031Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.0297094Z 12 RETURN_VALUE 2022-11-23T01:37:55.0297171Z 2022-11-23T01:37:55.0297231Z 2022-11-23T01:37:55.0297420Z [2022-11-23 01:33:05,534] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0297495Z - 2022-11-23T01:37:55.0297615Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0297680Z { 2022-11-23T01:37:55.0297822Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0297998Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0298117Z 'obj_weakref': None 2022-11-23T01:37:55.0298341Z 'guarded_class': 2022-11-23T01:37:55.0298405Z } 2022-11-23T01:37:55.0298467Z 2022-11-23T01:37:55.0298539Z - 2022-11-23T01:37:55.0298666Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0298717Z { 2022-11-23T01:37:55.0299060Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0299182Z 'code': None, 2022-11-23T01:37:55.0299399Z 'obj_weakref': 2022-11-23T01:37:55.0299656Z 'guarded_class': 2022-11-23T01:37:55.0299719Z } 2022-11-23T01:37:55.0299781Z 2022-11-23T01:37:55.0299838Z - 2022-11-23T01:37:55.0299960Z local 'model' NN_MODULE 2022-11-23T01:37:55.0300026Z { 2022-11-23T01:37:55.0300163Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0300336Z 'code': ['___check_obj_id(model, 140538439308880)'], 2022-11-23T01:37:55.0300561Z 'obj_weakref': 2022-11-23T01:37:55.0300803Z 'guarded_class': 2022-11-23T01:37:55.0300867Z } 2022-11-23T01:37:55.0300916Z 2022-11-23T01:37:55.0301028Z - 2022-11-23T01:37:55.0301223Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0301314Z { 2022-11-23T01:37:55.0301537Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0301832Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0301945Z 'obj_weakref': None 2022-11-23T01:37:55.0302170Z 'guarded_class': 2022-11-23T01:37:55.0302233Z } 2022-11-23T01:37:55.0302292Z 2022-11-23T01:37:55.0302361Z - 2022-11-23T01:37:55.0302509Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:55.0302571Z { 2022-11-23T01:37:55.0302680Z 'guard_types': None, 2022-11-23T01:37:55.0302788Z 'code': None, 2022-11-23T01:37:55.0302906Z 'obj_weakref': None 2022-11-23T01:37:55.0303031Z 'guarded_class': None 2022-11-23T01:37:55.0303096Z } 2022-11-23T01:37:55.0303156Z 2022-11-23T01:37:55.0303224Z - 2022-11-23T01:37:55.0303358Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:55.0303423Z { 2022-11-23T01:37:55.0303543Z 'guard_types': None, 2022-11-23T01:37:55.0303653Z 'code': None, 2022-11-23T01:37:55.0303850Z 'obj_weakref': None 2022-11-23T01:37:55.0303979Z 'guarded_class': None 2022-11-23T01:37:55.0304044Z } 2022-11-23T01:37:55.0304093Z 2022-11-23T01:37:55.0304357Z [2022-11-23 01:33:05,543] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 272 2022-11-23T01:37:55.0304729Z [2022-11-23 01:33:05,545] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kc/ckcj2hxqgfvw32ozsxnd6nonpq3g3yevlm6pifi6jcb6j5jgipkh.py 2022-11-23T01:37:55.0304996Z [2022-11-23 01:33:05,545] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 272 2022-11-23T01:37:55.0305278Z [2022-11-23 01:33:05,548] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0305549Z [2022-11-23 01:33:05,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0305772Z [2022-11-23 01:33:05,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0306019Z [2022-11-23 01:33:05,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:55.0306299Z [2022-11-23 01:33:05,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:55.0306606Z [2022-11-23 01:33:05,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0306854Z [2022-11-23 01:33:05,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.0307090Z [2022-11-23 01:33:05,557] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0307346Z [2022-11-23 01:33:05,558] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0307598Z [2022-11-23 01:33:05,569] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0307790Z [2022-11-23 01:33:05,569] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0307923Z __compiled_fn_280 .2416 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0308014Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0308174Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:55.0308296Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:55.0308303Z 2022-11-23T01:37:55.0308590Z [2022-11-23 01:33:05,570] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0308687Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0308777Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0308870Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0308960Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0309036Z 8 RETURN_VALUE 2022-11-23T01:37:55.0309041Z 2022-11-23T01:37:55.0309091Z 2022-11-23T01:37:55.0309364Z [2022-11-23 01:33:05,570] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0309474Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_280) 2022-11-23T01:37:55.0309563Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0309652Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0309732Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0309819Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0309908Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.0309974Z 12 RETURN_VALUE 2022-11-23T01:37:55.0309979Z 2022-11-23T01:37:55.0310040Z 2022-11-23T01:37:55.0310223Z [2022-11-23 01:33:05,570] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0310293Z - 2022-11-23T01:37:55.0310414Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0310477Z { 2022-11-23T01:37:55.0310653Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0310832Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0310953Z 'obj_weakref': None 2022-11-23T01:37:55.0311178Z 'guarded_class': 2022-11-23T01:37:55.0311243Z } 2022-11-23T01:37:55.0311305Z 2022-11-23T01:37:55.0311375Z - 2022-11-23T01:37:55.0311499Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0311550Z { 2022-11-23T01:37:55.0311693Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0311839Z 'code': None, 2022-11-23T01:37:55.0312054Z 'obj_weakref': 2022-11-23T01:37:55.0312311Z 'guarded_class': 2022-11-23T01:37:55.0312375Z } 2022-11-23T01:37:55.0312439Z 2022-11-23T01:37:55.0312497Z - 2022-11-23T01:37:55.0312618Z local 'model' NN_MODULE 2022-11-23T01:37:55.0312679Z { 2022-11-23T01:37:55.0312816Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0312988Z 'code': ['___check_obj_id(model, 140538441803216)'], 2022-11-23T01:37:55.0313210Z 'obj_weakref': 2022-11-23T01:37:55.0313447Z 'guarded_class': 2022-11-23T01:37:55.0313502Z } 2022-11-23T01:37:55.0313563Z 2022-11-23T01:37:55.0313633Z - 2022-11-23T01:37:55.0313757Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0313819Z { 2022-11-23T01:37:55.0313957Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0314175Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0314285Z 'obj_weakref': None 2022-11-23T01:37:55.0314506Z 'guarded_class': 2022-11-23T01:37:55.0314570Z } 2022-11-23T01:37:55.0314631Z 2022-11-23T01:37:55.0314701Z - 2022-11-23T01:37:55.0314849Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:55.0314910Z { 2022-11-23T01:37:55.0315019Z 'guard_types': None, 2022-11-23T01:37:55.0315127Z 'code': None, 2022-11-23T01:37:55.0315246Z 'obj_weakref': None 2022-11-23T01:37:55.0315368Z 'guarded_class': None 2022-11-23T01:37:55.0315432Z } 2022-11-23T01:37:55.0315494Z 2022-11-23T01:37:55.0315551Z - 2022-11-23T01:37:55.0315696Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:55.0315759Z { 2022-11-23T01:37:55.0315878Z 'guard_types': None, 2022-11-23T01:37:55.0315987Z 'code': None, 2022-11-23T01:37:55.0316105Z 'obj_weakref': None 2022-11-23T01:37:55.0316228Z 'guarded_class': None 2022-11-23T01:37:55.0316278Z } 2022-11-23T01:37:55.0316339Z 2022-11-23T01:37:55.0316600Z [2022-11-23 01:33:05,581] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 273 2022-11-23T01:37:55.0316605Z 2022-11-23T01:37:55.0316610Z 2022-11-23T01:37:55.0316703Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0316770Z import torch 2022-11-23T01:37:55.0316838Z import random 2022-11-23T01:37:55.0316955Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0317075Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0317080Z 2022-11-23T01:37:55.0317144Z aten = torch.ops.aten 2022-11-23T01:37:55.0317276Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0317368Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0317373Z 2022-11-23T01:37:55.0317405Z 2022-11-23T01:37:55.0317492Z async_compile.wait(globals()) 2022-11-23T01:37:55.0317566Z del async_compile 2022-11-23T01:37:55.0317571Z 2022-11-23T01:37:55.0317640Z def call(args): 2022-11-23T01:37:55.0317723Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:55.0317793Z args.clear() 2022-11-23T01:37:55.0318013Z buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'leaky_relu', [0.1], '') 2022-11-23T01:37:55.0318080Z del arg0_1 2022-11-23T01:37:55.0318148Z del arg1_1 2022-11-23T01:37:55.0318213Z del arg2_1 2022-11-23T01:37:55.0318283Z return (buf0, ) 2022-11-23T01:37:55.0318314Z 2022-11-23T01:37:55.0318318Z 2022-11-23T01:37:55.0318396Z if __name__ == "__main__": 2022-11-23T01:37:55.0318511Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0318621Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0318831Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0319037Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0319239Z arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0319360Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:55.0319364Z 2022-11-23T01:37:55.0319368Z 2022-11-23T01:37:55.0319461Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0319530Z import torch 2022-11-23T01:37:55.0319598Z import random 2022-11-23T01:37:55.0319699Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0319818Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0319825Z 2022-11-23T01:37:55.0319902Z aten = torch.ops.aten 2022-11-23T01:37:55.0320042Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0320132Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0320137Z 2022-11-23T01:37:55.0320141Z 2022-11-23T01:37:55.0320228Z async_compile.wait(globals()) 2022-11-23T01:37:55.0320302Z del async_compile 2022-11-23T01:37:55.0320306Z 2022-11-23T01:37:55.0320376Z def call(args): 2022-11-23T01:37:55.0320437Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.0320505Z args.clear() 2022-11-23T01:37:55.0320732Z buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'leaky_relu', [0.1], '') 2022-11-23T01:37:55.0320798Z del arg0_1 2022-11-23T01:37:55.0320863Z del arg1_1 2022-11-23T01:37:55.0320934Z return (buf0, ) 2022-11-23T01:37:55.0320939Z 2022-11-23T01:37:55.0320943Z 2022-11-23T01:37:55.0321016Z if __name__ == "__main__": 2022-11-23T01:37:55.0321133Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0321244Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0321449Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0321656Z arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0321774Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.0321779Z 2022-11-23T01:37:55.0321783Z 2022-11-23T01:37:55.0321877Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0321949Z import torch 2022-11-23T01:37:55.0322020Z import random 2022-11-23T01:37:55.0322122Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0322244Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0322249Z 2022-11-23T01:37:55.0322328Z aten = torch.ops.aten 2022-11-23T01:37:55.0322461Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0322553Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0322560Z 2022-11-23T01:37:55.0322564Z 2022-11-23T01:37:55.0322652Z async_compile.wait(globals()) 2022-11-23T01:37:55.0322726Z del async_compile 2022-11-23T01:37:55.0322731Z 2022-11-23T01:37:55.0322802Z def call(args): 2022-11-23T01:37:55.0322872Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:55.0322942Z args.clear() 2022-11-23T01:37:55.0323209Z buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'hardtanh', [-0.5, 4], '') 2022-11-23T01:37:55.0323282Z del arg0_1 2022-11-23T01:37:55.0323351Z del arg1_1 2022-11-23T01:37:55.0323418Z del arg2_1 2022-11-23T01:37:55.0323490Z return (buf0, ) 2022-11-23T01:37:55.0323495Z 2022-11-23T01:37:55.0323498Z 2022-11-23T01:37:55.0323575Z if __name__ == "__main__": 2022-11-23T01:37:55.0323675Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0323798Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0324006Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0324235Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0324445Z arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0324568Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:55.0324573Z 2022-11-23T01:37:55.0324580Z 2022-11-23T01:37:55.0324675Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0324745Z import torch 2022-11-23T01:37:55.0324802Z import random 2022-11-23T01:37:55.0324916Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0325036Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0325041Z 2022-11-23T01:37:55.0325119Z aten = torch.ops.aten 2022-11-23T01:37:55.0325254Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0325346Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0325351Z 2022-11-23T01:37:55.0325357Z 2022-11-23T01:37:55.0325444Z async_compile.wait(globals()) 2022-11-23T01:37:55.0325517Z del async_compile 2022-11-23T01:37:55.0325522Z 2022-11-23T01:37:55.0325578Z def call(args): 2022-11-23T01:37:55.0325658Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.0325733Z args.clear() 2022-11-23T01:37:55.0325968Z buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'hardtanh', [-0.5, 4], '') 2022-11-23T01:37:55.0326041Z del arg0_1 2022-11-23T01:37:55.0326110Z del arg1_1 2022-11-23T01:37:55.0326183Z return (buf0, ) 2022-11-23T01:37:55.0326188Z 2022-11-23T01:37:55.0326192Z 2022-11-23T01:37:55.0326254Z if __name__ == "__main__": 2022-11-23T01:37:55.0326367Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0326491Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0326694Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0326899Z arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0327019Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.0327024Z 2022-11-23T01:37:55.0327028Z 2022-11-23T01:37:55.0327120Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0327187Z import torch 2022-11-23T01:37:55.0327243Z import random 2022-11-23T01:37:55.0327355Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0327476Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0327481Z 2022-11-23T01:37:55.0327559Z aten = torch.ops.aten 2022-11-23T01:37:55.0327691Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0327779Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0327784Z 2022-11-23T01:37:55.0327788Z 2022-11-23T01:37:55.0327873Z async_compile.wait(globals()) 2022-11-23T01:37:55.0327943Z del async_compile 2022-11-23T01:37:55.0327947Z 2022-11-23T01:37:55.0328003Z def call(args): 2022-11-23T01:37:55.0328085Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:55.0328157Z args.clear() 2022-11-23T01:37:55.0328391Z buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'hardtanh', [-0.5, 4], '') 2022-11-23T01:37:55.0328458Z del arg0_1 2022-11-23T01:37:55.0328521Z del arg1_1 2022-11-23T01:37:55.0328586Z del arg2_1 2022-11-23T01:37:55.0328644Z return (buf0, ) 2022-11-23T01:37:55.0328648Z 2022-11-23T01:37:55.0328697Z 2022-11-23T01:37:55.0328761Z if __name__ == "__main__": 2022-11-23T01:37:55.0328873Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0328995Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0329202Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0329397Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0329598Z arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0329717Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:55.0329751Z 2022-11-23T01:37:55.0329755Z 2022-11-23T01:37:55.0329849Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0329905Z import torch 2022-11-23T01:37:55.0329976Z import random 2022-11-23T01:37:55.0330089Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0330207Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0330214Z 2022-11-23T01:37:55.0330292Z aten = torch.ops.aten 2022-11-23T01:37:55.0330423Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0330512Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0330517Z 2022-11-23T01:37:55.0330521Z 2022-11-23T01:37:55.0330595Z async_compile.wait(globals()) 2022-11-23T01:37:55.0330667Z del async_compile 2022-11-23T01:37:55.0330672Z 2022-11-23T01:37:55.0330741Z def call(args): 2022-11-23T01:37:55.0330815Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.0330884Z args.clear() 2022-11-23T01:37:55.0331115Z buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'hardtanh', [-0.5, 4], '') 2022-11-23T01:37:55.0331184Z del arg0_1 2022-11-23T01:37:55.0331238Z del arg1_1 2022-11-23T01:37:55.0331306Z return (buf0, ) 2022-11-23T01:37:55.0331311Z 2022-11-23T01:37:55.0331315Z 2022-11-23T01:37:55.0331388Z if __name__ == "__main__": 2022-11-23T01:37:55.0331499Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0331621Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0331824Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0332026Z arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0332138Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.0332143Z 2022-11-23T01:37:55.0332147Z 2022-11-23T01:37:55.0332240Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0332296Z import torch 2022-11-23T01:37:55.0332364Z import random 2022-11-23T01:37:55.0332478Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0332599Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0332604Z 2022-11-23T01:37:55.0332679Z aten = torch.ops.aten 2022-11-23T01:37:55.0332809Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0332897Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0332902Z 2022-11-23T01:37:55.0332908Z 2022-11-23T01:37:55.0332992Z async_compile.wait(globals()) 2022-11-23T01:37:55.0333051Z del async_compile 2022-11-23T01:37:55.0333055Z 2022-11-23T01:37:55.0333123Z def call(args): 2022-11-23T01:37:55.0333203Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:55.0333272Z args.clear() 2022-11-23T01:37:55.0333492Z buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'gelu', [], 'none') 2022-11-23T01:37:55.0333559Z del arg0_1 2022-11-23T01:37:55.0333624Z del arg1_1 2022-11-23T01:37:55.0333676Z del arg2_1 2022-11-23T01:37:55.0333747Z return (buf0, ) 2022-11-23T01:37:55.0333754Z 2022-11-23T01:37:55.0333758Z 2022-11-23T01:37:55.0333832Z if __name__ == "__main__": 2022-11-23T01:37:55.0333942Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0334063Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0334265Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0334494Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0334691Z arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0334815Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:55.0334820Z 2022-11-23T01:37:55.0334824Z 2022-11-23T01:37:55.0334917Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0334986Z import torch 2022-11-23T01:37:55.0335054Z import random 2022-11-23T01:37:55.0335167Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0335283Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0335333Z 2022-11-23T01:37:55.0335413Z aten = torch.ops.aten 2022-11-23T01:37:55.0335531Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0335622Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0335627Z 2022-11-23T01:37:55.0335631Z 2022-11-23T01:37:55.0335716Z async_compile.wait(globals()) 2022-11-23T01:37:55.0335788Z del async_compile 2022-11-23T01:37:55.0335793Z 2022-11-23T01:37:55.0335865Z def call(args): 2022-11-23T01:37:55.0335938Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.0336006Z args.clear() 2022-11-23T01:37:55.0336227Z buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'gelu', [], 'none') 2022-11-23T01:37:55.0336283Z del arg0_1 2022-11-23T01:37:55.0336348Z del arg1_1 2022-11-23T01:37:55.0336417Z return (buf0, ) 2022-11-23T01:37:55.0336422Z 2022-11-23T01:37:55.0336426Z 2022-11-23T01:37:55.0336499Z if __name__ == "__main__": 2022-11-23T01:37:55.0336611Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0336737Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0336940Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0337153Z arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0337258Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.0337263Z 2022-11-23T01:37:55.0337279Z 2022-11-23T01:37:55.0337359Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0337428Z import torch 2022-11-23T01:37:55.0337497Z import random 2022-11-23T01:37:55.0337607Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0337724Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0337729Z 2022-11-23T01:37:55.0337806Z aten = torch.ops.aten 2022-11-23T01:37:55.0337935Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0338013Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0338020Z 2022-11-23T01:37:55.0338024Z 2022-11-23T01:37:55.0338111Z async_compile.wait(globals()) 2022-11-23T01:37:55.0338181Z del async_compile 2022-11-23T01:37:55.0338185Z 2022-11-23T01:37:55.0338254Z def call(args): 2022-11-23T01:37:55.0338335Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:55.0338405Z args.clear() 2022-11-23T01:37:55.0338627Z buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'gelu', [], 'none') 2022-11-23T01:37:55.0338683Z del arg0_1 2022-11-23T01:37:55.0338898Z del arg1_1 2022-11-23T01:37:55.0339011Z del arg2_1 2022-11-23T01:37:55.0339105Z return (buf0, ) 2022-11-23T01:37:55.0339111Z 2022-11-23T01:37:55.0339115Z 2022-11-23T01:37:55.0339194Z if __name__ == "__main__": 2022-11-23T01:37:55.0339307Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0339429Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0339634Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0339820Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0340020Z arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0340140Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:55.0340576Z [2022-11-23 01:33:05,583] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/p4/cp4dh3lzrzxemv76jkwwqhwt5wko6ks2vfqeptpqjoqrd5z6px6h.py 2022-11-23T01:37:55.0340850Z [2022-11-23 01:33:05,583] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 273 2022-11-23T01:37:55.0341091Z [2022-11-23 01:33:05,586] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0341365Z [2022-11-23 01:33:05,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0341585Z [2022-11-23 01:33:05,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0341873Z [2022-11-23 01:33:05,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:55.0342140Z [2022-11-23 01:33:05,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:55.0342458Z [2022-11-23 01:33:05,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0342706Z [2022-11-23 01:33:05,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.0342944Z [2022-11-23 01:33:05,590] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0343204Z [2022-11-23 01:33:05,590] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0343456Z [2022-11-23 01:33:05,597] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0343650Z [2022-11-23 01:33:05,597] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0343784Z __compiled_fn_281 .2427 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0343878Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0343964Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:55.0344063Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:55.0344068Z 2022-11-23T01:37:55.0344349Z [2022-11-23 01:33:05,597] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0344443Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0344532Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0344623Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0344711Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0344775Z 8 RETURN_VALUE 2022-11-23T01:37:55.0344794Z 2022-11-23T01:37:55.0344842Z 2022-11-23T01:37:55.0345118Z [2022-11-23 01:33:05,597] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0345229Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_281) 2022-11-23T01:37:55.0345319Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0345409Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0345487Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0345576Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0345653Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.0345728Z 12 RETURN_VALUE 2022-11-23T01:37:55.0345734Z 2022-11-23T01:37:55.0345794Z 2022-11-23T01:37:55.0345979Z [2022-11-23 01:33:05,598] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0346051Z - 2022-11-23T01:37:55.0346175Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0346238Z { 2022-11-23T01:37:55.0346372Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0346562Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0346684Z 'obj_weakref': None 2022-11-23T01:37:55.0346910Z 'guarded_class': 2022-11-23T01:37:55.0347006Z } 2022-11-23T01:37:55.0347070Z 2022-11-23T01:37:55.0347142Z - 2022-11-23T01:37:55.0347256Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0347321Z { 2022-11-23T01:37:55.0347465Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0347575Z 'code': None, 2022-11-23T01:37:55.0347791Z 'obj_weakref': 2022-11-23T01:37:55.0348048Z 'guarded_class': 2022-11-23T01:37:55.0348224Z } 2022-11-23T01:37:55.0348282Z 2022-11-23T01:37:55.0348356Z - 2022-11-23T01:37:55.0348479Z local 'model' NN_MODULE 2022-11-23T01:37:55.0348543Z { 2022-11-23T01:37:55.0348679Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0348852Z 'code': ['___check_obj_id(model, 140538440074000)'], 2022-11-23T01:37:55.0349079Z 'obj_weakref': 2022-11-23T01:37:55.0349305Z 'guarded_class': 2022-11-23T01:37:55.0349373Z } 2022-11-23T01:37:55.0349436Z 2022-11-23T01:37:55.0349510Z - 2022-11-23T01:37:55.0349634Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0349698Z { 2022-11-23T01:37:55.0349837Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0350046Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0350170Z 'obj_weakref': None 2022-11-23T01:37:55.0350395Z 'guarded_class': 2022-11-23T01:37:55.0350459Z } 2022-11-23T01:37:55.0350521Z 2022-11-23T01:37:55.0350591Z - 2022-11-23T01:37:55.0350743Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:55.0350794Z { 2022-11-23T01:37:55.0350917Z 'guard_types': None, 2022-11-23T01:37:55.0351025Z 'code': None, 2022-11-23T01:37:55.0351146Z 'obj_weakref': None 2022-11-23T01:37:55.0351270Z 'guarded_class': None 2022-11-23T01:37:55.0351332Z } 2022-11-23T01:37:55.0351392Z 2022-11-23T01:37:55.0351448Z - 2022-11-23T01:37:55.0351592Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:55.0351656Z { 2022-11-23T01:37:55.0351777Z 'guard_types': None, 2022-11-23T01:37:55.0351888Z 'code': None, 2022-11-23T01:37:55.0352007Z 'obj_weakref': None 2022-11-23T01:37:55.0352128Z 'guarded_class': None 2022-11-23T01:37:55.0352178Z } 2022-11-23T01:37:55.0352238Z 2022-11-23T01:37:55.0352503Z [2022-11-23 01:33:05,608] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 274 2022-11-23T01:37:55.0352876Z [2022-11-23 01:33:05,610] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gk/cgk2vcmi4kjeivcy7k6ldqumloc5q7du5b6c6l3pe3vdzefzwiyk.py 2022-11-23T01:37:55.0353143Z [2022-11-23 01:33:05,610] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 274 2022-11-23T01:37:55.0353381Z [2022-11-23 01:33:05,613] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0353652Z [2022-11-23 01:33:05,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0353872Z [2022-11-23 01:33:05,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0354105Z [2022-11-23 01:33:05,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:55.0354427Z [2022-11-23 01:33:05,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:55.0354748Z [2022-11-23 01:33:05,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0354996Z [2022-11-23 01:33:05,623] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.0355231Z [2022-11-23 01:33:05,623] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0355485Z [2022-11-23 01:33:05,624] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0355770Z [2022-11-23 01:33:05,636] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0355963Z [2022-11-23 01:33:05,636] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0356098Z __compiled_fn_282 .2438 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0356176Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0356277Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:55.0356375Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:55.0356381Z 2022-11-23T01:37:55.0356660Z [2022-11-23 01:33:05,636] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0356754Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0356843Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0356934Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0357023Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0357091Z 8 RETURN_VALUE 2022-11-23T01:37:55.0357096Z 2022-11-23T01:37:55.0357155Z 2022-11-23T01:37:55.0357431Z [2022-11-23 01:33:05,636] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0357537Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_282) 2022-11-23T01:37:55.0357628Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0357718Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0357794Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0357869Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0357958Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.0358031Z 12 RETURN_VALUE 2022-11-23T01:37:55.0358036Z 2022-11-23T01:37:55.0358098Z 2022-11-23T01:37:55.0358285Z [2022-11-23 01:33:05,637] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0358360Z - 2022-11-23T01:37:55.0358483Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0358540Z { 2022-11-23T01:37:55.0358685Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0358875Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0358999Z 'obj_weakref': None 2022-11-23T01:37:55.0359228Z 'guarded_class': 2022-11-23T01:37:55.0359295Z } 2022-11-23T01:37:55.0359359Z 2022-11-23T01:37:55.0359432Z - 2022-11-23T01:37:55.0359545Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0359611Z { 2022-11-23T01:37:55.0359756Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0359868Z 'code': None, 2022-11-23T01:37:55.0360084Z 'obj_weakref': 2022-11-23T01:37:55.0360340Z 'guarded_class': 2022-11-23T01:37:55.0360409Z } 2022-11-23T01:37:55.0360461Z 2022-11-23T01:37:55.0360533Z - 2022-11-23T01:37:55.0360657Z local 'model' NN_MODULE 2022-11-23T01:37:55.0360721Z { 2022-11-23T01:37:55.0360861Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0361066Z 'code': ['___check_obj_id(model, 140538741937680)'], 2022-11-23T01:37:55.0361294Z 'obj_weakref': 2022-11-23T01:37:55.0361521Z 'guarded_class': 2022-11-23T01:37:55.0361587Z } 2022-11-23T01:37:55.0361652Z 2022-11-23T01:37:55.0361725Z - 2022-11-23T01:37:55.0361852Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0361918Z { 2022-11-23T01:37:55.0362059Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0362309Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0362432Z 'obj_weakref': None 2022-11-23T01:37:55.0362655Z 'guarded_class': 2022-11-23T01:37:55.0362720Z } 2022-11-23T01:37:55.0362784Z 2022-11-23T01:37:55.0362859Z - 2022-11-23T01:37:55.0363010Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:55.0363062Z { 2022-11-23T01:37:55.0363187Z 'guard_types': None, 2022-11-23T01:37:55.0363298Z 'code': None, 2022-11-23T01:37:55.0363419Z 'obj_weakref': None 2022-11-23T01:37:55.0363545Z 'guarded_class': None 2022-11-23T01:37:55.0363608Z } 2022-11-23T01:37:55.0363658Z 2022-11-23T01:37:55.0363731Z - 2022-11-23T01:37:55.0363882Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:55.0363950Z { 2022-11-23T01:37:55.0364072Z 'guard_types': None, 2022-11-23T01:37:55.0364182Z 'code': None, 2022-11-23T01:37:55.0364304Z 'obj_weakref': None 2022-11-23T01:37:55.0364415Z 'guarded_class': None 2022-11-23T01:37:55.0364479Z } 2022-11-23T01:37:55.0364545Z 2022-11-23T01:37:55.0364809Z [2022-11-23 01:33:05,647] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 275 2022-11-23T01:37:55.0365178Z [2022-11-23 01:33:05,649] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/im/cimtazad25dk653zn7bxlo3oeehxzgxdwfomp52p2yp72bwv7in5.py 2022-11-23T01:37:55.0365445Z [2022-11-23 01:33:05,649] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 275 2022-11-23T01:37:55.0365683Z [2022-11-23 01:33:05,652] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0365956Z [2022-11-23 01:33:05,652] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0366164Z [2022-11-23 01:33:05,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0366409Z [2022-11-23 01:33:05,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:55.0366690Z [2022-11-23 01:33:05,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:55.0367004Z [2022-11-23 01:33:05,653] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0367251Z [2022-11-23 01:33:05,657] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.0367485Z [2022-11-23 01:33:05,657] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0367740Z [2022-11-23 01:33:05,658] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0367994Z [2022-11-23 01:33:05,666] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0368187Z [2022-11-23 01:33:05,666] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0368350Z __compiled_fn_283 .2449 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0368428Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0368526Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:55.0368626Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:55.0368631Z 2022-11-23T01:37:55.0368912Z [2022-11-23 01:33:05,666] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0369006Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0369095Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0369189Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0369296Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0369375Z 8 RETURN_VALUE 2022-11-23T01:37:55.0369381Z 2022-11-23T01:37:55.0369442Z 2022-11-23T01:37:55.0369718Z [2022-11-23 01:33:05,666] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0369830Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_283) 2022-11-23T01:37:55.0369922Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0370011Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0370089Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0370164Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0370252Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.0370326Z 12 RETURN_VALUE 2022-11-23T01:37:55.0370331Z 2022-11-23T01:37:55.0370389Z 2022-11-23T01:37:55.0370574Z [2022-11-23 01:33:05,667] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0370649Z - 2022-11-23T01:37:55.0370771Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0370823Z { 2022-11-23T01:37:55.0370966Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0371154Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0371277Z 'obj_weakref': None 2022-11-23T01:37:55.0371505Z 'guarded_class': 2022-11-23T01:37:55.0371570Z } 2022-11-23T01:37:55.0371632Z 2022-11-23T01:37:55.0371691Z - 2022-11-23T01:37:55.0371814Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0371878Z { 2022-11-23T01:37:55.0372022Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0372130Z 'code': None, 2022-11-23T01:37:55.0372343Z 'obj_weakref': 2022-11-23T01:37:55.0372602Z 'guarded_class': 2022-11-23T01:37:55.0372652Z } 2022-11-23T01:37:55.0372713Z 2022-11-23T01:37:55.0372786Z - 2022-11-23T01:37:55.0372909Z local 'model' NN_MODULE 2022-11-23T01:37:55.0372972Z { 2022-11-23T01:37:55.0373109Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0373281Z 'code': ['___check_obj_id(model, 140538437748944)'], 2022-11-23T01:37:55.0373489Z 'obj_weakref': 2022-11-23T01:37:55.0373727Z 'guarded_class': 2022-11-23T01:37:55.0373792Z } 2022-11-23T01:37:55.0373855Z 2022-11-23T01:37:55.0373927Z - 2022-11-23T01:37:55.0374052Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0374114Z { 2022-11-23T01:37:55.0374243Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0374461Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0374581Z 'obj_weakref': None 2022-11-23T01:37:55.0374803Z 'guarded_class': 2022-11-23T01:37:55.0374895Z } 2022-11-23T01:37:55.0374959Z 2022-11-23T01:37:55.0375028Z - 2022-11-23T01:37:55.0375163Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:55.0375226Z { 2022-11-23T01:37:55.0375349Z 'guard_types': None, 2022-11-23T01:37:55.0375456Z 'code': None, 2022-11-23T01:37:55.0375577Z 'obj_weakref': None 2022-11-23T01:37:55.0375698Z 'guarded_class': None 2022-11-23T01:37:55.0375760Z } 2022-11-23T01:37:55.0375809Z 2022-11-23T01:37:55.0375877Z - 2022-11-23T01:37:55.0376025Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:55.0376118Z { 2022-11-23T01:37:55.0376240Z 'guard_types': None, 2022-11-23T01:37:55.0376347Z 'code': None, 2022-11-23T01:37:55.0376466Z 'obj_weakref': None 2022-11-23T01:37:55.0376575Z 'guarded_class': None 2022-11-23T01:37:55.0376638Z } 2022-11-23T01:37:55.0376702Z 2022-11-23T01:37:55.0376964Z [2022-11-23 01:33:05,676] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 276 2022-11-23T01:37:55.0377331Z [2022-11-23 01:33:05,678] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4s/c4smnu5qs3nf4zlc3usdbe5sbywlco4orwsb5bxd3wasqliubi3i.py 2022-11-23T01:37:55.0377596Z [2022-11-23 01:33:05,678] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 276 2022-11-23T01:37:55.0377836Z [2022-11-23 01:33:05,681] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0378109Z [2022-11-23 01:33:05,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0378314Z [2022-11-23 01:33:05,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0378558Z [2022-11-23 01:33:05,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:55.0379025Z [2022-11-23 01:33:05,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:55.0379387Z [2022-11-23 01:33:05,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0379636Z [2022-11-23 01:33:05,690] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.0379872Z [2022-11-23 01:33:05,690] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0380132Z [2022-11-23 01:33:05,691] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0380384Z [2022-11-23 01:33:05,703] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0380576Z [2022-11-23 01:33:05,703] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0380700Z __compiled_fn_284 .2460 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0380790Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0380890Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:55.0380987Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:55.0380993Z 2022-11-23T01:37:55.0381274Z [2022-11-23 01:33:05,703] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0381368Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0381458Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0381554Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0381631Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0381706Z 8 RETURN_VALUE 2022-11-23T01:37:55.0381712Z 2022-11-23T01:37:55.0381772Z 2022-11-23T01:37:55.0382105Z [2022-11-23 01:33:05,703] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0382217Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_284) 2022-11-23T01:37:55.0382308Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0382398Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0382464Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0382550Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0382640Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.0382715Z 12 RETURN_VALUE 2022-11-23T01:37:55.0382721Z 2022-11-23T01:37:55.0382778Z 2022-11-23T01:37:55.0383019Z [2022-11-23 01:33:05,704] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0383092Z - 2022-11-23T01:37:55.0383200Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0383265Z { 2022-11-23T01:37:55.0383408Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0383598Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0383723Z 'obj_weakref': None 2022-11-23T01:37:55.0383946Z 'guarded_class': 2022-11-23T01:37:55.0384011Z } 2022-11-23T01:37:55.0384072Z 2022-11-23T01:37:55.0384129Z - 2022-11-23T01:37:55.0384256Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0384319Z { 2022-11-23T01:37:55.0384464Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0384574Z 'code': None, 2022-11-23T01:37:55.0384789Z 'obj_weakref': 2022-11-23T01:37:55.0385046Z 'guarded_class': 2022-11-23T01:37:55.0385097Z } 2022-11-23T01:37:55.0385157Z 2022-11-23T01:37:55.0385229Z - 2022-11-23T01:37:55.0385348Z local 'model' NN_MODULE 2022-11-23T01:37:55.0385413Z { 2022-11-23T01:37:55.0385549Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0385708Z 'code': ['___check_obj_id(model, 140538441652432)'], 2022-11-23T01:37:55.0385931Z 'obj_weakref': 2022-11-23T01:37:55.0386170Z 'guarded_class': 2022-11-23T01:37:55.0386234Z } 2022-11-23T01:37:55.0386297Z 2022-11-23T01:37:55.0386367Z - 2022-11-23T01:37:55.0386491Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0386554Z { 2022-11-23T01:37:55.0386681Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0386902Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0387022Z 'obj_weakref': None 2022-11-23T01:37:55.0387246Z 'guarded_class': 2022-11-23T01:37:55.0387308Z } 2022-11-23T01:37:55.0387369Z 2022-11-23T01:37:55.0387437Z - 2022-11-23T01:37:55.0387571Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:55.0387633Z { 2022-11-23T01:37:55.0387753Z 'guard_types': None, 2022-11-23T01:37:55.0387861Z 'code': None, 2022-11-23T01:37:55.0387978Z 'obj_weakref': None 2022-11-23T01:37:55.0388184Z 'guarded_class': None 2022-11-23T01:37:55.0388240Z } 2022-11-23T01:37:55.0388303Z 2022-11-23T01:37:55.0388380Z - 2022-11-23T01:37:55.0388527Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:55.0388589Z { 2022-11-23T01:37:55.0388710Z 'guard_types': None, 2022-11-23T01:37:55.0388819Z 'code': None, 2022-11-23T01:37:55.0388925Z 'obj_weakref': None 2022-11-23T01:37:55.0389083Z 'guarded_class': None 2022-11-23T01:37:55.0389149Z } 2022-11-23T01:37:55.0389211Z 2022-11-23T01:37:55.0389475Z [2022-11-23 01:33:05,714] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 277 2022-11-23T01:37:55.0389846Z [2022-11-23 01:33:05,716] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ea/cea3uzpyyj5qewfobhnjb76u6efopo6mqe47hpda2d7hnx4tivhm.py 2022-11-23T01:37:55.0390112Z [2022-11-23 01:33:05,716] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 277 2022-11-23T01:37:55.0390353Z [2022-11-23 01:33:05,719] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0390646Z [2022-11-23 01:33:05,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0390866Z [2022-11-23 01:33:05,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0391114Z [2022-11-23 01:33:05,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:55.0391397Z [2022-11-23 01:33:05,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:55.0391718Z [2022-11-23 01:33:05,719] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0391966Z [2022-11-23 01:33:05,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.0392204Z [2022-11-23 01:33:05,723] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0392463Z [2022-11-23 01:33:05,724] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0392715Z [2022-11-23 01:33:05,731] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0392897Z [2022-11-23 01:33:05,731] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0393032Z __compiled_fn_285 .2471 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0393121Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0393220Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:55.0393319Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:55.0393324Z 2022-11-23T01:37:55.0393603Z [2022-11-23 01:33:05,731] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0393697Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0393790Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0393868Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0393957Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0394032Z 8 RETURN_VALUE 2022-11-23T01:37:55.0394038Z 2022-11-23T01:37:55.0394097Z 2022-11-23T01:37:55.0394375Z [2022-11-23 01:33:05,731] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0394484Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_285) 2022-11-23T01:37:55.0394573Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0394662Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0394726Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0394813Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0394902Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.0394976Z 12 RETURN_VALUE 2022-11-23T01:37:55.0394983Z 2022-11-23T01:37:55.0395041Z 2022-11-23T01:37:55.0395227Z [2022-11-23 01:33:05,732] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0395299Z - 2022-11-23T01:37:55.0395407Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0395470Z { 2022-11-23T01:37:55.0395615Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0395835Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0395959Z 'obj_weakref': None 2022-11-23T01:37:55.0396184Z 'guarded_class': 2022-11-23T01:37:55.0396247Z } 2022-11-23T01:37:55.0396296Z 2022-11-23T01:37:55.0396366Z - 2022-11-23T01:37:55.0396491Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0396554Z { 2022-11-23T01:37:55.0396699Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0396807Z 'code': None, 2022-11-23T01:37:55.0397051Z 'obj_weakref': 2022-11-23T01:37:55.0397295Z 'guarded_class': 2022-11-23T01:37:55.0397358Z } 2022-11-23T01:37:55.0397424Z 2022-11-23T01:37:55.0397494Z - 2022-11-23T01:37:55.0397618Z local 'model' NN_MODULE 2022-11-23T01:37:55.0397682Z { 2022-11-23T01:37:55.0397817Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0397976Z 'code': ['___check_obj_id(model, 140538441086288)'], 2022-11-23T01:37:55.0398199Z 'obj_weakref': 2022-11-23T01:37:55.0398436Z 'guarded_class': 2022-11-23T01:37:55.0398500Z } 2022-11-23T01:37:55.0398563Z 2022-11-23T01:37:55.0398640Z - 2022-11-23T01:37:55.0398765Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0398816Z { 2022-11-23T01:37:55.0398956Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0399183Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0399305Z 'obj_weakref': None 2022-11-23T01:37:55.0399531Z 'guarded_class': 2022-11-23T01:37:55.0399597Z } 2022-11-23T01:37:55.0399661Z 2022-11-23T01:37:55.0399720Z - 2022-11-23T01:37:55.0399871Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:55.0399935Z { 2022-11-23T01:37:55.0400058Z 'guard_types': None, 2022-11-23T01:37:55.0400168Z 'code': None, 2022-11-23T01:37:55.0400294Z 'obj_weakref': None 2022-11-23T01:37:55.0400418Z 'guarded_class': None 2022-11-23T01:37:55.0400472Z } 2022-11-23T01:37:55.0400536Z 2022-11-23T01:37:55.0400608Z - 2022-11-23T01:37:55.0400756Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:55.0400820Z { 2022-11-23T01:37:55.0400943Z 'guard_types': None, 2022-11-23T01:37:55.0401055Z 'code': None, 2022-11-23T01:37:55.0401165Z 'obj_weakref': None 2022-11-23T01:37:55.0401290Z 'guarded_class': None 2022-11-23T01:37:55.0401355Z } 2022-11-23T01:37:55.0401418Z 2022-11-23T01:37:55.0401678Z [2022-11-23 01:33:05,741] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 278 2022-11-23T01:37:55.0402051Z [2022-11-23 01:33:05,743] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7m/c7mevqbscxgzbftodfw53lre5sx5mnxr3ittuk7kjiv4u53leccy.py 2022-11-23T01:37:55.0402321Z [2022-11-23 01:33:05,743] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 278 2022-11-23T01:37:55.0402552Z [2022-11-23 01:33:05,746] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0402825Z [2022-11-23 01:33:05,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0403113Z [2022-11-23 01:33:05,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0403360Z [2022-11-23 01:33:05,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:55.0403645Z [2022-11-23 01:33:05,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:55.0403968Z [2022-11-23 01:33:05,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0404218Z [2022-11-23 01:33:05,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.0404488Z [2022-11-23 01:33:05,756] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0404748Z [2022-11-23 01:33:05,756] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0405002Z [2022-11-23 01:33:05,768] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0405183Z [2022-11-23 01:33:05,768] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0405320Z __compiled_fn_286 .2482 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0405410Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0405513Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:55.0405613Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:55.0405618Z 2022-11-23T01:37:55.0405902Z [2022-11-23 01:33:05,769] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0406001Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0406096Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0406176Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0406266Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0406343Z 8 RETURN_VALUE 2022-11-23T01:37:55.0406348Z 2022-11-23T01:37:55.0406411Z 2022-11-23T01:37:55.0406693Z [2022-11-23 01:33:05,769] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0406800Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_286) 2022-11-23T01:37:55.0406891Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0406968Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0407047Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0407136Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0407224Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.0407302Z 12 RETURN_VALUE 2022-11-23T01:37:55.0407307Z 2022-11-23T01:37:55.0407366Z 2022-11-23T01:37:55.0407551Z [2022-11-23 01:33:05,770] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0407609Z - 2022-11-23T01:37:55.0407734Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0407798Z { 2022-11-23T01:37:55.0407946Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0408137Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0408260Z 'obj_weakref': None 2022-11-23T01:37:55.0408486Z 'guarded_class': 2022-11-23T01:37:55.0408548Z } 2022-11-23T01:37:55.0408599Z 2022-11-23T01:37:55.0408669Z - 2022-11-23T01:37:55.0408796Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0408858Z { 2022-11-23T01:37:55.0409001Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0409112Z 'code': None, 2022-11-23T01:37:55.0409314Z 'obj_weakref': 2022-11-23T01:37:55.0409571Z 'guarded_class': 2022-11-23T01:37:55.0409637Z } 2022-11-23T01:37:55.0409731Z 2022-11-23T01:37:55.0409804Z - 2022-11-23T01:37:55.0409925Z local 'model' NN_MODULE 2022-11-23T01:37:55.0409987Z { 2022-11-23T01:37:55.0410110Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0410280Z 'code': ['___check_obj_id(model, 140538741937680)'], 2022-11-23T01:37:55.0410502Z 'obj_weakref': 2022-11-23T01:37:55.0410740Z 'guarded_class': 2022-11-23T01:37:55.0410834Z } 2022-11-23T01:37:55.0410895Z 2022-11-23T01:37:55.0410966Z - 2022-11-23T01:37:55.0411090Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0411141Z { 2022-11-23T01:37:55.0411277Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0411498Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0411620Z 'obj_weakref': None 2022-11-23T01:37:55.0411839Z 'guarded_class': 2022-11-23T01:37:55.0411903Z } 2022-11-23T01:37:55.0411963Z 2022-11-23T01:37:55.0412020Z - 2022-11-23T01:37:55.0412168Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:55.0412232Z { 2022-11-23T01:37:55.0412353Z 'guard_types': None, 2022-11-23T01:37:55.0412461Z 'code': None, 2022-11-23T01:37:55.0412580Z 'obj_weakref': None 2022-11-23T01:37:55.0412693Z 'guarded_class': None 2022-11-23T01:37:55.0412754Z } 2022-11-23T01:37:55.0412814Z 2022-11-23T01:37:55.0412884Z - 2022-11-23T01:37:55.0413028Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:55.0413088Z { 2022-11-23T01:37:55.0413208Z 'guard_types': None, 2022-11-23T01:37:55.0413307Z 'code': None, 2022-11-23T01:37:55.0413425Z 'obj_weakref': None 2022-11-23T01:37:55.0413547Z 'guarded_class': None 2022-11-23T01:37:55.0413607Z } 2022-11-23T01:37:55.0413667Z 2022-11-23T01:37:55.0413927Z [2022-11-23 01:33:05,780] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 279 2022-11-23T01:37:55.0414293Z [2022-11-23 01:33:05,782] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ek/cekhmsl55t5uyw632g4zwbiiccvjetw5nkngylcg6bdw6q22er2c.py 2022-11-23T01:37:55.0414558Z [2022-11-23 01:33:05,782] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 279 2022-11-23T01:37:55.0414787Z [2022-11-23 01:33:05,785] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0415059Z [2022-11-23 01:33:05,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0415280Z [2022-11-23 01:33:05,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0415527Z [2022-11-23 01:33:05,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:55.0415804Z [2022-11-23 01:33:05,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:55.0416121Z [2022-11-23 01:33:05,785] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0416369Z [2022-11-23 01:33:05,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.0416608Z [2022-11-23 01:33:05,790] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0416864Z [2022-11-23 01:33:05,790] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0417133Z [2022-11-23 01:33:05,798] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0417326Z [2022-11-23 01:33:05,798] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0417460Z __compiled_fn_287 .2493 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0417548Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0417646Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:55.0417742Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:55.0417748Z 2022-11-23T01:37:55.0418026Z [2022-11-23 01:33:05,798] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0418156Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0418235Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0418327Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0418416Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0418495Z 8 RETURN_VALUE 2022-11-23T01:37:55.0418500Z 2022-11-23T01:37:55.0418560Z 2022-11-23T01:37:55.0419032Z [2022-11-23 01:33:05,798] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0419151Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_287) 2022-11-23T01:37:55.0419241Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0419320Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0419397Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0419485Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0419578Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.0419653Z 12 RETURN_VALUE 2022-11-23T01:37:55.0419657Z 2022-11-23T01:37:55.0419717Z 2022-11-23T01:37:55.0419905Z [2022-11-23 01:33:05,799] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0419965Z - 2022-11-23T01:37:55.0420087Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0420154Z { 2022-11-23T01:37:55.0420298Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0420486Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0420608Z 'obj_weakref': None 2022-11-23T01:37:55.0420833Z 'guarded_class': 2022-11-23T01:37:55.0420887Z } 2022-11-23T01:37:55.0420949Z 2022-11-23T01:37:55.0421021Z - 2022-11-23T01:37:55.0421147Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0421213Z { 2022-11-23T01:37:55.0421357Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0421467Z 'code': None, 2022-11-23T01:37:55.0421671Z 'obj_weakref': 2022-11-23T01:37:55.0421925Z 'guarded_class': 2022-11-23T01:37:55.0421990Z } 2022-11-23T01:37:55.0422053Z 2022-11-23T01:37:55.0422124Z - 2022-11-23T01:37:55.0422245Z local 'model' NN_MODULE 2022-11-23T01:37:55.0422306Z { 2022-11-23T01:37:55.0422429Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0422599Z 'code': ['___check_obj_id(model, 140538441086288)'], 2022-11-23T01:37:55.0422821Z 'obj_weakref': 2022-11-23T01:37:55.0423059Z 'guarded_class': 2022-11-23T01:37:55.0423129Z } 2022-11-23T01:37:55.0423190Z 2022-11-23T01:37:55.0423261Z - 2022-11-23T01:37:55.0423372Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0423434Z { 2022-11-23T01:37:55.0423571Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0423843Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0423969Z 'obj_weakref': None 2022-11-23T01:37:55.0424192Z 'guarded_class': 2022-11-23T01:37:55.0424255Z } 2022-11-23T01:37:55.0424305Z 2022-11-23T01:37:55.0424374Z - 2022-11-23T01:37:55.0424522Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:55.0424584Z { 2022-11-23T01:37:55.0424707Z 'guard_types': None, 2022-11-23T01:37:55.0424815Z 'code': None, 2022-11-23T01:37:55.0424977Z 'obj_weakref': None 2022-11-23T01:37:55.0425089Z 'guarded_class': None 2022-11-23T01:37:55.0425151Z } 2022-11-23T01:37:55.0425213Z 2022-11-23T01:37:55.0425282Z - 2022-11-23T01:37:55.0425428Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:55.0425490Z { 2022-11-23T01:37:55.0425613Z 'guard_types': None, 2022-11-23T01:37:55.0425709Z 'code': None, 2022-11-23T01:37:55.0425825Z 'obj_weakref': None 2022-11-23T01:37:55.0425950Z 'guarded_class': None 2022-11-23T01:37:55.0426011Z } 2022-11-23T01:37:55.0426072Z 2022-11-23T01:37:55.0426335Z [2022-11-23 01:33:05,810] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 280 2022-11-23T01:37:55.0426698Z [2022-11-23 01:33:05,811] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kt/ckt42b7vn2ngljueahp7gsrc36hxyyti5ja55kmnz34z75nfxv7t.py 2022-11-23T01:37:55.0426957Z [2022-11-23 01:33:05,811] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 280 2022-11-23T01:37:55.0427194Z [2022-11-23 01:33:05,815] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0427469Z [2022-11-23 01:33:05,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0427688Z [2022-11-23 01:33:05,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0427934Z [2022-11-23 01:33:05,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:55.0428298Z [2022-11-23 01:33:05,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:55.0428616Z [2022-11-23 01:33:05,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0428870Z [2022-11-23 01:33:05,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.0429108Z [2022-11-23 01:33:05,824] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0429353Z [2022-11-23 01:33:05,825] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0429605Z [2022-11-23 01:33:05,987] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0429794Z [2022-11-23 01:33:05,987] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0429930Z __compiled_fn_288 .2504 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0430020Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0430118Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:55.0430216Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:55.0430222Z 2022-11-23T01:37:55.0430508Z [2022-11-23 01:33:05,988] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0430601Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0430680Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0430771Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0430896Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0430975Z 8 RETURN_VALUE 2022-11-23T01:37:55.0430980Z 2022-11-23T01:37:55.0431039Z 2022-11-23T01:37:55.0431316Z [2022-11-23 01:33:05,988] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0431424Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_288) 2022-11-23T01:37:55.0431500Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0431588Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0431663Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0431800Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0431890Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.0431961Z 12 RETURN_VALUE 2022-11-23T01:37:55.0431966Z 2022-11-23T01:37:55.0432025Z 2022-11-23T01:37:55.0432198Z [2022-11-23 01:33:05,989] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0432273Z - 2022-11-23T01:37:55.0432393Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0432457Z { 2022-11-23T01:37:55.0432601Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0432789Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0432912Z 'obj_weakref': None 2022-11-23T01:37:55.0433136Z 'guarded_class': 2022-11-23T01:37:55.0433190Z } 2022-11-23T01:37:55.0433251Z 2022-11-23T01:37:55.0433321Z - 2022-11-23T01:37:55.0433451Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0433515Z { 2022-11-23T01:37:55.0433660Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0433756Z 'code': None, 2022-11-23T01:37:55.0433971Z 'obj_weakref': 2022-11-23T01:37:55.0434228Z 'guarded_class': 2022-11-23T01:37:55.0434291Z } 2022-11-23T01:37:55.0434353Z 2022-11-23T01:37:55.0434427Z - 2022-11-23T01:37:55.0434546Z local 'model' NN_MODULE 2022-11-23T01:37:55.0434597Z { 2022-11-23T01:37:55.0434732Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0434902Z 'code': ['___check_obj_id(model, 140538741937680)'], 2022-11-23T01:37:55.0435122Z 'obj_weakref': 2022-11-23T01:37:55.0435364Z 'guarded_class': 2022-11-23T01:37:55.0435426Z } 2022-11-23T01:37:55.0435487Z 2022-11-23T01:37:55.0435555Z - 2022-11-23T01:37:55.0435666Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0435729Z { 2022-11-23T01:37:55.0435869Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0436087Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0436207Z 'obj_weakref': None 2022-11-23T01:37:55.0436428Z 'guarded_class': 2022-11-23T01:37:55.0436490Z } 2022-11-23T01:37:55.0436539Z 2022-11-23T01:37:55.0436607Z - 2022-11-23T01:37:55.0436754Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:55.0436816Z { 2022-11-23T01:37:55.0436936Z 'guard_types': None, 2022-11-23T01:37:55.0437047Z 'code': None, 2022-11-23T01:37:55.0437154Z 'obj_weakref': None 2022-11-23T01:37:55.0437276Z 'guarded_class': None 2022-11-23T01:37:55.0437338Z } 2022-11-23T01:37:55.0437399Z 2022-11-23T01:37:55.0437470Z - 2022-11-23T01:37:55.0437644Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:55.0437708Z { 2022-11-23T01:37:55.0437817Z 'guard_types': None, 2022-11-23T01:37:55.0437926Z 'code': None, 2022-11-23T01:37:55.0438043Z 'obj_weakref': None 2022-11-23T01:37:55.0438165Z 'guarded_class': None 2022-11-23T01:37:55.0438227Z } 2022-11-23T01:37:55.0438286Z 2022-11-23T01:37:55.0438547Z [2022-11-23 01:33:05,999] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 281 2022-11-23T01:37:55.0438906Z [2022-11-23 01:33:06,001] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/aj/cajgpr3dcyzqwtsz7ig24a2jwtrehwxy7ycutyv55hn6ic7su373.py 2022-11-23T01:37:55.0439210Z [2022-11-23 01:33:06,001] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 281 2022-11-23T01:37:55.0439452Z [2022-11-23 01:33:06,004] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0439726Z [2022-11-23 01:33:06,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0439948Z [2022-11-23 01:33:06,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0440195Z [2022-11-23 01:33:06,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:55.0440475Z [2022-11-23 01:33:06,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:55.0440795Z [2022-11-23 01:33:06,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0441048Z [2022-11-23 01:33:06,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.0441287Z [2022-11-23 01:33:06,009] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0441529Z [2022-11-23 01:33:06,010] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0441782Z [2022-11-23 01:33:06,016] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0441974Z [2022-11-23 01:33:06,016] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0442110Z __compiled_fn_289 .2515 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0442201Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0442304Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:55.0442407Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:55.0442412Z 2022-11-23T01:37:55.0442695Z [2022-11-23 01:33:06,017] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0442775Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0442867Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0442963Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0443055Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0443133Z 8 RETURN_VALUE 2022-11-23T01:37:55.0443139Z 2022-11-23T01:37:55.0443202Z 2022-11-23T01:37:55.0443480Z [2022-11-23 01:33:06,017] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0443591Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_289) 2022-11-23T01:37:55.0443668Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0443758Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0443838Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0443929Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0444020Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.0444098Z 12 RETURN_VALUE 2022-11-23T01:37:55.0444103Z 2022-11-23T01:37:55.0444164Z 2022-11-23T01:37:55.0444369Z [2022-11-23 01:33:06,017] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0444444Z - 2022-11-23T01:37:55.0444569Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0444635Z { 2022-11-23T01:37:55.0444781Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0444974Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0445098Z 'obj_weakref': None 2022-11-23T01:37:55.0445310Z 'guarded_class': 2022-11-23T01:37:55.0445377Z } 2022-11-23T01:37:55.0445473Z 2022-11-23T01:37:55.0445548Z - 2022-11-23T01:37:55.0445677Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0445741Z { 2022-11-23T01:37:55.0445887Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0445983Z 'code': None, 2022-11-23T01:37:55.0446201Z 'obj_weakref': 2022-11-23T01:37:55.0446456Z 'guarded_class': 2022-11-23T01:37:55.0446523Z } 2022-11-23T01:37:55.0446586Z 2022-11-23T01:37:55.0446659Z - 2022-11-23T01:37:55.0446784Z local 'model' NN_MODULE 2022-11-23T01:37:55.0446835Z { 2022-11-23T01:37:55.0446974Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0447147Z 'code': ['___check_obj_id(model, 140539205144848)'], 2022-11-23T01:37:55.0447369Z 'obj_weakref': 2022-11-23T01:37:55.0447614Z 'guarded_class': 2022-11-23T01:37:55.0447678Z } 2022-11-23T01:37:55.0447739Z 2022-11-23T01:37:55.0447797Z - 2022-11-23T01:37:55.0447923Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0447991Z { 2022-11-23T01:37:55.0448128Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0448346Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0448468Z 'obj_weakref': None 2022-11-23T01:37:55.0448688Z 'guarded_class': 2022-11-23T01:37:55.0448738Z } 2022-11-23T01:37:55.0448799Z 2022-11-23T01:37:55.0448870Z - 2022-11-23T01:37:55.0449018Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:55.0449083Z { 2022-11-23T01:37:55.0449205Z 'guard_types': None, 2022-11-23T01:37:55.0449313Z 'code': None, 2022-11-23T01:37:55.0449420Z 'obj_weakref': None 2022-11-23T01:37:55.0449542Z 'guarded_class': None 2022-11-23T01:37:55.0449605Z } 2022-11-23T01:37:55.0449667Z 2022-11-23T01:37:55.0449738Z - 2022-11-23T01:37:55.0449885Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:55.0449946Z { 2022-11-23T01:37:55.0450055Z 'guard_types': None, 2022-11-23T01:37:55.0450161Z 'code': None, 2022-11-23T01:37:55.0450280Z 'obj_weakref': None 2022-11-23T01:37:55.0450404Z 'guarded_class': None 2022-11-23T01:37:55.0450466Z } 2022-11-23T01:37:55.0450527Z 2022-11-23T01:37:55.0450777Z [2022-11-23 01:33:06,027] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 282 2022-11-23T01:37:55.0450797Z 2022-11-23T01:37:55.0450802Z 2022-11-23T01:37:55.0450883Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0450951Z import torch 2022-11-23T01:37:55.0451018Z import random 2022-11-23T01:37:55.0451132Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0451252Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0451257Z 2022-11-23T01:37:55.0451366Z aten = torch.ops.aten 2022-11-23T01:37:55.0451503Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0451583Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0451599Z 2022-11-23T01:37:55.0451604Z 2022-11-23T01:37:55.0451677Z async_compile.wait(globals()) 2022-11-23T01:37:55.0451747Z del async_compile 2022-11-23T01:37:55.0451752Z 2022-11-23T01:37:55.0451821Z def call(args): 2022-11-23T01:37:55.0451894Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.0451965Z args.clear() 2022-11-23T01:37:55.0452185Z buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'gelu', [], 'none') 2022-11-23T01:37:55.0452286Z del arg0_1 2022-11-23T01:37:55.0452341Z del arg1_1 2022-11-23T01:37:55.0452410Z return (buf0, ) 2022-11-23T01:37:55.0452414Z 2022-11-23T01:37:55.0452418Z 2022-11-23T01:37:55.0452492Z if __name__ == "__main__": 2022-11-23T01:37:55.0452604Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0452726Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0452933Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0453136Z arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0453252Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.0453257Z 2022-11-23T01:37:55.0453261Z 2022-11-23T01:37:55.0453342Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0453410Z import torch 2022-11-23T01:37:55.0453481Z import random 2022-11-23T01:37:55.0453593Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0453713Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0453718Z 2022-11-23T01:37:55.0453794Z aten = torch.ops.aten 2022-11-23T01:37:55.0453924Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0454003Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0454018Z 2022-11-23T01:37:55.0454022Z 2022-11-23T01:37:55.0454099Z async_compile.wait(globals()) 2022-11-23T01:37:55.0454168Z del async_compile 2022-11-23T01:37:55.0454172Z 2022-11-23T01:37:55.0454241Z def call(args): 2022-11-23T01:37:55.0454320Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:55.0454389Z args.clear() 2022-11-23T01:37:55.0454609Z buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'gelu', [], 'tanh') 2022-11-23T01:37:55.0454678Z del arg0_1 2022-11-23T01:37:55.0454731Z del arg1_1 2022-11-23T01:37:55.0454795Z del arg2_1 2022-11-23T01:37:55.0454864Z return (buf0, ) 2022-11-23T01:37:55.0454869Z 2022-11-23T01:37:55.0454875Z 2022-11-23T01:37:55.0454951Z if __name__ == "__main__": 2022-11-23T01:37:55.0455062Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0455182Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0455386Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0455586Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0455782Z arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0455904Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:55.0455909Z 2022-11-23T01:37:55.0455913Z 2022-11-23T01:37:55.0456007Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0456073Z import torch 2022-11-23T01:37:55.0456142Z import random 2022-11-23T01:37:55.0456255Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0456373Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0456380Z 2022-11-23T01:37:55.0456456Z aten = torch.ops.aten 2022-11-23T01:37:55.0456576Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0456666Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0456671Z 2022-11-23T01:37:55.0456675Z 2022-11-23T01:37:55.0456762Z async_compile.wait(globals()) 2022-11-23T01:37:55.0456866Z del async_compile 2022-11-23T01:37:55.0456872Z 2022-11-23T01:37:55.0456940Z def call(args): 2022-11-23T01:37:55.0457013Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.0457082Z args.clear() 2022-11-23T01:37:55.0457302Z buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'gelu', [], 'tanh') 2022-11-23T01:37:55.0457357Z del arg0_1 2022-11-23T01:37:55.0457421Z del arg1_1 2022-11-23T01:37:55.0457492Z return (buf0, ) 2022-11-23T01:37:55.0457497Z 2022-11-23T01:37:55.0457501Z 2022-11-23T01:37:55.0457575Z if __name__ == "__main__": 2022-11-23T01:37:55.0457686Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0457839Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0458046Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0458243Z arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0458360Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.0458365Z 2022-11-23T01:37:55.0458369Z 2022-11-23T01:37:55.0458463Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0458531Z import torch 2022-11-23T01:37:55.0458599Z import random 2022-11-23T01:37:55.0458711Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0459027Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0459036Z 2022-11-23T01:37:55.0459140Z aten = torch.ops.aten 2022-11-23T01:37:55.0459263Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0459351Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0459359Z 2022-11-23T01:37:55.0459364Z 2022-11-23T01:37:55.0459452Z async_compile.wait(globals()) 2022-11-23T01:37:55.0459522Z del async_compile 2022-11-23T01:37:55.0459526Z 2022-11-23T01:37:55.0459595Z def call(args): 2022-11-23T01:37:55.0459676Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:55.0459745Z args.clear() 2022-11-23T01:37:55.0459971Z buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'gelu', [], 'tanh') 2022-11-23T01:37:55.0460028Z del arg0_1 2022-11-23T01:37:55.0460093Z del arg1_1 2022-11-23T01:37:55.0460158Z del arg2_1 2022-11-23T01:37:55.0460229Z return (buf0, ) 2022-11-23T01:37:55.0460234Z 2022-11-23T01:37:55.0460238Z 2022-11-23T01:37:55.0460312Z if __name__ == "__main__": 2022-11-23T01:37:55.0460423Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0460543Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0460736Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0460939Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0461140Z arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0461261Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:55.0461266Z 2022-11-23T01:37:55.0461270Z 2022-11-23T01:37:55.0461366Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0461436Z import torch 2022-11-23T01:37:55.0461504Z import random 2022-11-23T01:37:55.0461616Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0461722Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0461738Z 2022-11-23T01:37:55.0461803Z aten = torch.ops.aten 2022-11-23T01:37:55.0461931Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0462020Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0462025Z 2022-11-23T01:37:55.0462029Z 2022-11-23T01:37:55.0462115Z async_compile.wait(globals()) 2022-11-23T01:37:55.0462188Z del async_compile 2022-11-23T01:37:55.0462193Z 2022-11-23T01:37:55.0462262Z def call(args): 2022-11-23T01:37:55.0462334Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.0462391Z args.clear() 2022-11-23T01:37:55.0462609Z buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'gelu', [], 'tanh') 2022-11-23T01:37:55.0462675Z del arg0_1 2022-11-23T01:37:55.0462796Z del arg1_1 2022-11-23T01:37:55.0462871Z return (buf0, ) 2022-11-23T01:37:55.0462876Z 2022-11-23T01:37:55.0462879Z 2022-11-23T01:37:55.0462953Z if __name__ == "__main__": 2022-11-23T01:37:55.0463066Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0463187Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0463381Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0463580Z arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0463696Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.0463738Z 2022-11-23T01:37:55.0463742Z 2022-11-23T01:37:55.0463837Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0463906Z import torch 2022-11-23T01:37:55.0463975Z import random 2022-11-23T01:37:55.0464089Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0464199Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0464215Z 2022-11-23T01:37:55.0464279Z aten = torch.ops.aten 2022-11-23T01:37:55.0464408Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0464498Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0464503Z 2022-11-23T01:37:55.0464507Z 2022-11-23T01:37:55.0464592Z async_compile.wait(globals()) 2022-11-23T01:37:55.0464662Z del async_compile 2022-11-23T01:37:55.0464666Z 2022-11-23T01:37:55.0464736Z def call(args): 2022-11-23T01:37:55.0464815Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:55.0464873Z args.clear() 2022-11-23T01:37:55.0465105Z buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'hardtanh', [0, 6], '') 2022-11-23T01:37:55.0465173Z del arg0_1 2022-11-23T01:37:55.0465239Z del arg1_1 2022-11-23T01:37:55.0465302Z del arg2_1 2022-11-23T01:37:55.0465372Z return (buf0, ) 2022-11-23T01:37:55.0465377Z 2022-11-23T01:37:55.0465380Z 2022-11-23T01:37:55.0465453Z if __name__ == "__main__": 2022-11-23T01:37:55.0465566Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0465674Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0465877Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0466076Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0466286Z arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0466406Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:55.0466411Z 2022-11-23T01:37:55.0466418Z 2022-11-23T01:37:55.0466510Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0466578Z import torch 2022-11-23T01:37:55.0466645Z import random 2022-11-23T01:37:55.0466746Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0466863Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0466868Z 2022-11-23T01:37:55.0466947Z aten = torch.ops.aten 2022-11-23T01:37:55.0467076Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0467165Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0467169Z 2022-11-23T01:37:55.0467173Z 2022-11-23T01:37:55.0467260Z async_compile.wait(globals()) 2022-11-23T01:37:55.0467331Z del async_compile 2022-11-23T01:37:55.0467336Z 2022-11-23T01:37:55.0467403Z def call(args): 2022-11-23T01:37:55.0467464Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.0467532Z args.clear() 2022-11-23T01:37:55.0467756Z buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'hardtanh', [0, 6], '') 2022-11-23T01:37:55.0467826Z del arg0_1 2022-11-23T01:37:55.0467892Z del arg1_1 2022-11-23T01:37:55.0467960Z return (buf0, ) 2022-11-23T01:37:55.0467966Z 2022-11-23T01:37:55.0467970Z 2022-11-23T01:37:55.0468044Z if __name__ == "__main__": 2022-11-23T01:37:55.0468229Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0468393Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0468602Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0468813Z arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0468926Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.0468931Z 2022-11-23T01:37:55.0468935Z 2022-11-23T01:37:55.0469028Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0469096Z import torch 2022-11-23T01:37:55.0469166Z import random 2022-11-23T01:37:55.0469266Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0469419Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0469423Z 2022-11-23T01:37:55.0469500Z aten = torch.ops.aten 2022-11-23T01:37:55.0469630Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0469721Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0469726Z 2022-11-23T01:37:55.0469730Z 2022-11-23T01:37:55.0469818Z async_compile.wait(globals()) 2022-11-23T01:37:55.0469892Z del async_compile 2022-11-23T01:37:55.0469896Z 2022-11-23T01:37:55.0469964Z def call(args): 2022-11-23T01:37:55.0470031Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:55.0470097Z args.clear() 2022-11-23T01:37:55.0470328Z buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'hardtanh', [0, 6], '') 2022-11-23T01:37:55.0470396Z del arg0_1 2022-11-23T01:37:55.0470460Z del arg1_1 2022-11-23T01:37:55.0470522Z del arg2_1 2022-11-23T01:37:55.0470591Z return (buf0, ) 2022-11-23T01:37:55.0470596Z 2022-11-23T01:37:55.0470603Z 2022-11-23T01:37:55.0470665Z if __name__ == "__main__": 2022-11-23T01:37:55.0470781Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0470900Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0471102Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0471304Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0471502Z arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0471622Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:55.0471626Z 2022-11-23T01:37:55.0471630Z 2022-11-23T01:37:55.0471723Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0471780Z import torch 2022-11-23T01:37:55.0471849Z import random 2022-11-23T01:37:55.0471962Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0472079Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0472087Z 2022-11-23T01:37:55.0472164Z aten = torch.ops.aten 2022-11-23T01:37:55.0472294Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0472388Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0472393Z 2022-11-23T01:37:55.0472397Z 2022-11-23T01:37:55.0472483Z async_compile.wait(globals()) 2022-11-23T01:37:55.0472542Z del async_compile 2022-11-23T01:37:55.0472561Z 2022-11-23T01:37:55.0472618Z def call(args): 2022-11-23T01:37:55.0472690Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.0472760Z args.clear() 2022-11-23T01:37:55.0472984Z buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'hardtanh', [0, 6], '') 2022-11-23T01:37:55.0473051Z del arg0_1 2022-11-23T01:37:55.0473118Z del arg1_1 2022-11-23T01:37:55.0473175Z return (buf0, ) 2022-11-23T01:37:55.0473193Z 2022-11-23T01:37:55.0473197Z 2022-11-23T01:37:55.0473259Z if __name__ == "__main__": 2022-11-23T01:37:55.0473372Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0473497Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0473702Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0473905Z arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0474021Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.0474433Z [2022-11-23 01:33:06,028] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2h/c2hp5cahidxzw2xjfc62kfqlpqpxmjldwbd2zyigcr3ousfbnyv7.py 2022-11-23T01:37:55.0474709Z [2022-11-23 01:33:06,028] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 282 2022-11-23T01:37:55.0474939Z [2022-11-23 01:33:06,031] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0475214Z [2022-11-23 01:33:06,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0475484Z [2022-11-23 01:33:06,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0475729Z [2022-11-23 01:33:06,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:55.0476012Z [2022-11-23 01:33:06,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:55.0476336Z [2022-11-23 01:33:06,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0476589Z [2022-11-23 01:33:06,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.0476829Z [2022-11-23 01:33:06,042] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0477082Z [2022-11-23 01:33:06,043] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0477320Z [2022-11-23 01:33:06,056] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0477516Z [2022-11-23 01:33:06,056] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0477654Z __compiled_fn_290 .2526 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0477746Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0477849Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:55.0477950Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:55.0477955Z 2022-11-23T01:37:55.0478238Z [2022-11-23 01:33:06,057] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0478337Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0478417Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0478511Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0478601Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0478682Z 8 RETURN_VALUE 2022-11-23T01:37:55.0478686Z 2022-11-23T01:37:55.0478747Z 2022-11-23T01:37:55.0479026Z [2022-11-23 01:33:06,057] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0479135Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_290) 2022-11-23T01:37:55.0479229Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0479307Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0479385Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0479475Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0479567Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.0479644Z 12 RETURN_VALUE 2022-11-23T01:37:55.0479649Z 2022-11-23T01:37:55.0479709Z 2022-11-23T01:37:55.0479899Z [2022-11-23 01:33:06,057] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0479960Z - 2022-11-23T01:37:55.0480083Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0480154Z { 2022-11-23T01:37:55.0480301Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0480494Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0480620Z 'obj_weakref': None 2022-11-23T01:37:55.0480878Z 'guarded_class': 2022-11-23T01:37:55.0480931Z } 2022-11-23T01:37:55.0480992Z 2022-11-23T01:37:55.0481066Z - 2022-11-23T01:37:55.0481196Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0481261Z { 2022-11-23T01:37:55.0481407Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0481516Z 'code': None, 2022-11-23T01:37:55.0481719Z 'obj_weakref': 2022-11-23T01:37:55.0481973Z 'guarded_class': 2022-11-23T01:37:55.0482070Z } 2022-11-23T01:37:55.0482131Z 2022-11-23T01:37:55.0482202Z - 2022-11-23T01:37:55.0482324Z local 'model' NN_MODULE 2022-11-23T01:37:55.0482387Z { 2022-11-23T01:37:55.0482510Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0482685Z 'code': ['___check_obj_id(model, 140538439540688)'], 2022-11-23T01:37:55.0482908Z 'obj_weakref': 2022-11-23T01:37:55.0483149Z 'guarded_class': 2022-11-23T01:37:55.0483213Z } 2022-11-23T01:37:55.0483275Z 2022-11-23T01:37:55.0483346Z - 2022-11-23T01:37:55.0483458Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0483520Z { 2022-11-23T01:37:55.0483658Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0483881Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0484005Z 'obj_weakref': None 2022-11-23T01:37:55.0484228Z 'guarded_class': 2022-11-23T01:37:55.0484290Z } 2022-11-23T01:37:55.0484339Z 2022-11-23T01:37:55.0484407Z - 2022-11-23T01:37:55.0484560Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:55.0484624Z { 2022-11-23T01:37:55.0484745Z 'guard_types': None, 2022-11-23T01:37:55.0484854Z 'code': None, 2022-11-23T01:37:55.0484975Z 'obj_weakref': None 2022-11-23T01:37:55.0485085Z 'guarded_class': None 2022-11-23T01:37:55.0485147Z } 2022-11-23T01:37:55.0485208Z 2022-11-23T01:37:55.0485276Z - 2022-11-23T01:37:55.0485422Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:55.0485484Z { 2022-11-23T01:37:55.0485607Z 'guard_types': None, 2022-11-23T01:37:55.0485703Z 'code': None, 2022-11-23T01:37:55.0485820Z 'obj_weakref': None 2022-11-23T01:37:55.0485943Z 'guarded_class': None 2022-11-23T01:37:55.0486009Z } 2022-11-23T01:37:55.0486073Z 2022-11-23T01:37:55.0486336Z [2022-11-23 01:33:06,067] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 283 2022-11-23T01:37:55.0486708Z [2022-11-23 01:33:06,069] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mv/cmvwoshacf7agyudk6ccll5mnj4atnz4yywwbd34ert36lqnmp4x.py 2022-11-23T01:37:55.0486960Z [2022-11-23 01:33:06,069] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 283 2022-11-23T01:37:55.0487199Z [2022-11-23 01:33:06,072] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0487466Z [2022-11-23 01:33:06,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0487689Z [2022-11-23 01:33:06,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0487934Z [2022-11-23 01:33:06,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:55.0488244Z [2022-11-23 01:33:06,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:55.0488562Z [2022-11-23 01:33:06,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0488811Z [2022-11-23 01:33:06,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.0489048Z [2022-11-23 01:33:06,078] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0489303Z [2022-11-23 01:33:06,079] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0489579Z [2022-11-23 01:33:06,087] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0489769Z [2022-11-23 01:33:06,088] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0489904Z __compiled_fn_291 .2537 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0489994Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0490093Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:55.0490193Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:55.0490199Z 2022-11-23T01:37:55.0490476Z [2022-11-23 01:33:06,088] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0490569Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0490649Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0490740Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0490831Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0490908Z 8 RETURN_VALUE 2022-11-23T01:37:55.0490913Z 2022-11-23T01:37:55.0490973Z 2022-11-23T01:37:55.0491249Z [2022-11-23 01:33:06,088] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0491358Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_291) 2022-11-23T01:37:55.0491436Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0491523Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0491600Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0491687Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0491775Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.0491849Z 12 RETURN_VALUE 2022-11-23T01:37:55.0491854Z 2022-11-23T01:37:55.0491917Z 2022-11-23T01:37:55.0492101Z [2022-11-23 01:33:06,089] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0492161Z - 2022-11-23T01:37:55.0492284Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0492348Z { 2022-11-23T01:37:55.0492490Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0492679Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0492802Z 'obj_weakref': None 2022-11-23T01:37:55.0493030Z 'guarded_class': 2022-11-23T01:37:55.0493084Z } 2022-11-23T01:37:55.0493147Z 2022-11-23T01:37:55.0493219Z - 2022-11-23T01:37:55.0493346Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0493410Z { 2022-11-23T01:37:55.0493554Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0493651Z 'code': None, 2022-11-23T01:37:55.0493865Z 'obj_weakref': 2022-11-23T01:37:55.0494120Z 'guarded_class': 2022-11-23T01:37:55.0494186Z } 2022-11-23T01:37:55.0494252Z 2022-11-23T01:37:55.0494322Z - 2022-11-23T01:37:55.0494443Z local 'model' NN_MODULE 2022-11-23T01:37:55.0494493Z { 2022-11-23T01:37:55.0494629Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0494830Z 'code': ['___check_obj_id(model, 140538437567504)'], 2022-11-23T01:37:55.0495055Z 'obj_weakref': 2022-11-23T01:37:55.0495293Z 'guarded_class': 2022-11-23T01:37:55.0495356Z } 2022-11-23T01:37:55.0495418Z 2022-11-23T01:37:55.0495488Z - 2022-11-23T01:37:55.0495599Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0495660Z { 2022-11-23T01:37:55.0495798Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0496053Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0496175Z 'obj_weakref': None 2022-11-23T01:37:55.0496397Z 'guarded_class': 2022-11-23T01:37:55.0496459Z } 2022-11-23T01:37:55.0496511Z 2022-11-23T01:37:55.0496581Z - 2022-11-23T01:37:55.0496731Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:55.0496794Z { 2022-11-23T01:37:55.0496915Z 'guard_types': None, 2022-11-23T01:37:55.0497022Z 'code': None, 2022-11-23T01:37:55.0497140Z 'obj_weakref': None 2022-11-23T01:37:55.0497250Z 'guarded_class': None 2022-11-23T01:37:55.0497311Z } 2022-11-23T01:37:55.0497372Z 2022-11-23T01:37:55.0497445Z - 2022-11-23T01:37:55.0497591Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:55.0497655Z { 2022-11-23T01:37:55.0497764Z 'guard_types': None, 2022-11-23T01:37:55.0497870Z 'code': None, 2022-11-23T01:37:55.0497990Z 'obj_weakref': None 2022-11-23T01:37:55.0498113Z 'guarded_class': None 2022-11-23T01:37:55.0498174Z } 2022-11-23T01:37:55.0498234Z 2022-11-23T01:37:55.0498502Z [2022-11-23 01:33:06,098] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 284 2022-11-23T01:37:55.0499043Z [2022-11-23 01:33:06,099] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bl/cblyyqp3t2faoxnem42odvvhmwnondlnsb2k4u2uzpcibf2v23zq.py 2022-11-23T01:37:55.0499321Z [2022-11-23 01:33:06,100] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 284 2022-11-23T01:37:55.0499560Z [2022-11-23 01:33:06,103] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0499836Z [2022-11-23 01:33:06,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0500055Z [2022-11-23 01:33:06,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0500304Z [2022-11-23 01:33:06,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:55.0500584Z [2022-11-23 01:33:06,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:55.0500902Z [2022-11-23 01:33:06,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0501151Z [2022-11-23 01:33:06,113] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.0501388Z [2022-11-23 01:33:06,113] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0501632Z [2022-11-23 01:33:06,113] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0501885Z [2022-11-23 01:33:06,126] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0502075Z [2022-11-23 01:33:06,126] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0502269Z __compiled_fn_292 .2548 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0502361Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0502459Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:55.0502557Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:55.0502563Z 2022-11-23T01:37:55.0502844Z [2022-11-23 01:33:06,126] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0502929Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0503019Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0503188Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0503276Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0503352Z 8 RETURN_VALUE 2022-11-23T01:37:55.0503358Z 2022-11-23T01:37:55.0503418Z 2022-11-23T01:37:55.0503697Z [2022-11-23 01:33:06,126] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0503806Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_292) 2022-11-23T01:37:55.0503884Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0503974Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0504050Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0504136Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0504228Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.0504307Z 12 RETURN_VALUE 2022-11-23T01:37:55.0504311Z 2022-11-23T01:37:55.0504373Z 2022-11-23T01:37:55.0504546Z [2022-11-23 01:33:06,127] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0504619Z - 2022-11-23T01:37:55.0504739Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0504804Z { 2022-11-23T01:37:55.0504944Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0505134Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0505258Z 'obj_weakref': None 2022-11-23T01:37:55.0505470Z 'guarded_class': 2022-11-23T01:37:55.0505534Z } 2022-11-23T01:37:55.0505597Z 2022-11-23T01:37:55.0505668Z - 2022-11-23T01:37:55.0505794Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0505857Z { 2022-11-23T01:37:55.0506000Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0506095Z 'code': None, 2022-11-23T01:37:55.0506307Z 'obj_weakref': 2022-11-23T01:37:55.0506562Z 'guarded_class': 2022-11-23T01:37:55.0506626Z } 2022-11-23T01:37:55.0506689Z 2022-11-23T01:37:55.0506760Z - 2022-11-23T01:37:55.0506880Z local 'model' NN_MODULE 2022-11-23T01:37:55.0506930Z { 2022-11-23T01:37:55.0507070Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0507244Z 'code': ['___check_obj_id(model, 140538439537808)'], 2022-11-23T01:37:55.0507470Z 'obj_weakref': 2022-11-23T01:37:55.0507707Z 'guarded_class': 2022-11-23T01:37:55.0507769Z } 2022-11-23T01:37:55.0507834Z 2022-11-23T01:37:55.0507891Z - 2022-11-23T01:37:55.0508014Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0508079Z { 2022-11-23T01:37:55.0508318Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0508538Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0508658Z 'obj_weakref': None 2022-11-23T01:37:55.0508920Z 'guarded_class': 2022-11-23T01:37:55.0508972Z } 2022-11-23T01:37:55.0509034Z 2022-11-23T01:37:55.0509106Z - 2022-11-23T01:37:55.0509254Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:55.0509317Z { 2022-11-23T01:37:55.0509439Z 'guard_types': None, 2022-11-23T01:37:55.0509548Z 'code': None, 2022-11-23T01:37:55.0509655Z 'obj_weakref': None 2022-11-23T01:37:55.0509776Z 'guarded_class': None 2022-11-23T01:37:55.0509837Z } 2022-11-23T01:37:55.0509899Z 2022-11-23T01:37:55.0510004Z - 2022-11-23T01:37:55.0510151Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:55.0510213Z { 2022-11-23T01:37:55.0510323Z 'guard_types': None, 2022-11-23T01:37:55.0510434Z 'code': None, 2022-11-23T01:37:55.0510552Z 'obj_weakref': None 2022-11-23T01:37:55.0510674Z 'guarded_class': None 2022-11-23T01:37:55.0510738Z } 2022-11-23T01:37:55.0510799Z 2022-11-23T01:37:55.0511061Z [2022-11-23 01:33:06,137] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 285 2022-11-23T01:37:55.0511420Z [2022-11-23 01:33:06,139] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7h/c7hks2dlurfktw5q7cflahvqmnzbsboco2j2dkqyjyqfv5r6i34h.py 2022-11-23T01:37:55.0511687Z [2022-11-23 01:33:06,139] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 285 2022-11-23T01:37:55.0511925Z [2022-11-23 01:33:06,142] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0512199Z [2022-11-23 01:33:06,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0512419Z [2022-11-23 01:33:06,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0512667Z [2022-11-23 01:33:06,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [NNModuleVariable()] 2022-11-23T01:37:55.0512944Z [2022-11-23 01:33:06,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [NNModuleVariable(), TupleVariable()] 2022-11-23T01:37:55.0513264Z [2022-11-23 01:33:06,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [NNModuleVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0513516Z [2022-11-23 01:33:06,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.0513737Z [2022-11-23 01:33:06,147] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0513995Z [2022-11-23 01:33:06,148] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0514243Z [2022-11-23 01:33:06,156] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0514436Z [2022-11-23 01:33:06,156] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0514569Z __compiled_fn_293 .2559 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0514659Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0514758Z call_module, model_0, model_0, (ex_0_,), {} 2022-11-23T01:37:55.0514854Z output, output, output, ((model_0,),), {} 2022-11-23T01:37:55.0514860Z 2022-11-23T01:37:55.0515137Z [2022-11-23 01:33:06,156] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0515218Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0515308Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0515402Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0515494Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0515573Z 8 RETURN_VALUE 2022-11-23T01:37:55.0515578Z 2022-11-23T01:37:55.0515641Z 2022-11-23T01:37:55.0515954Z [2022-11-23 01:33:06,156] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0516052Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_293) 2022-11-23T01:37:55.0516144Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0516232Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0516311Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0516401Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0516493Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.0516570Z 12 RETURN_VALUE 2022-11-23T01:37:55.0516575Z 2022-11-23T01:37:55.0516664Z 2022-11-23T01:37:55.0516839Z [2022-11-23 01:33:06,157] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0516911Z - 2022-11-23T01:37:55.0517034Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0517098Z { 2022-11-23T01:37:55.0517242Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0517436Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0517560Z 'obj_weakref': None 2022-11-23T01:37:55.0517773Z 'guarded_class': 2022-11-23T01:37:55.0517842Z } 2022-11-23T01:37:55.0517907Z 2022-11-23T01:37:55.0517979Z - 2022-11-23T01:37:55.0518107Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0518172Z { 2022-11-23T01:37:55.0518304Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0518415Z 'code': None, 2022-11-23T01:37:55.0518636Z 'obj_weakref': 2022-11-23T01:37:55.0518894Z 'guarded_class': 2022-11-23T01:37:55.0518960Z } 2022-11-23T01:37:55.0519024Z 2022-11-23T01:37:55.0519097Z - 2022-11-23T01:37:55.0519209Z local 'model' NN_MODULE 2022-11-23T01:37:55.0519275Z { 2022-11-23T01:37:55.0519414Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0519588Z 'code': ['___check_obj_id(model, 140538437569040)'], 2022-11-23T01:37:55.0519814Z 'obj_weakref': 2022-11-23T01:37:55.0520054Z 'guarded_class': 2022-11-23T01:37:55.0520120Z } 2022-11-23T01:37:55.0520184Z 2022-11-23T01:37:55.0520241Z - 2022-11-23T01:37:55.0520365Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0520430Z { 2022-11-23T01:37:55.0520570Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0520790Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0520912Z 'obj_weakref': None 2022-11-23T01:37:55.0521137Z 'guarded_class': 2022-11-23T01:37:55.0521192Z } 2022-11-23T01:37:55.0521256Z 2022-11-23T01:37:55.0521329Z - 2022-11-23T01:37:55.0521478Z local_nn_module 'model[0]' NN_MODULE 2022-11-23T01:37:55.0521538Z { 2022-11-23T01:37:55.0521661Z 'guard_types': None, 2022-11-23T01:37:55.0521757Z 'code': None, 2022-11-23T01:37:55.0521878Z 'obj_weakref': None 2022-11-23T01:37:55.0522002Z 'guarded_class': None 2022-11-23T01:37:55.0522066Z } 2022-11-23T01:37:55.0522129Z 2022-11-23T01:37:55.0522200Z - 2022-11-23T01:37:55.0522347Z local_nn_module 'model[1]' NN_MODULE 2022-11-23T01:37:55.0522397Z { 2022-11-23T01:37:55.0522518Z 'guard_types': None, 2022-11-23T01:37:55.0522626Z 'code': None, 2022-11-23T01:37:55.0522746Z 'obj_weakref': None 2022-11-23T01:37:55.0522899Z 'guarded_class': None 2022-11-23T01:37:55.0522963Z } 2022-11-23T01:37:55.0523024Z 2022-11-23T01:37:55.0523273Z [2022-11-23 01:33:06,167] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 286 2022-11-23T01:37:55.0523632Z [2022-11-23 01:33:06,168] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fk/cfkzf4oj2w7tuke6zbndrd5tk4x435nhg5nnyh5skfdtl2ujnuxa.py 2022-11-23T01:37:55.0523896Z [2022-11-23 01:33:06,168] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 286 2022-11-23T01:37:55.0523948Z 2022-11-23T01:37:55.0523953Z 2022-11-23T01:37:55.0524046Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0524117Z import torch 2022-11-23T01:37:55.0524184Z import random 2022-11-23T01:37:55.0524297Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0524417Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0524423Z 2022-11-23T01:37:55.0524501Z aten = torch.ops.aten 2022-11-23T01:37:55.0524621Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0524715Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0524720Z 2022-11-23T01:37:55.0524725Z 2022-11-23T01:37:55.0524810Z async_compile.wait(globals()) 2022-11-23T01:37:55.0524880Z del async_compile 2022-11-23T01:37:55.0524886Z 2022-11-23T01:37:55.0524955Z def call(args): 2022-11-23T01:37:55.0525037Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:55.0525107Z args.clear() 2022-11-23T01:37:55.0525313Z buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'swish', [], '') 2022-11-23T01:37:55.0525386Z del arg0_1 2022-11-23T01:37:55.0525451Z del arg1_1 2022-11-23T01:37:55.0525517Z del arg2_1 2022-11-23T01:37:55.0525587Z return (buf0, ) 2022-11-23T01:37:55.0525592Z 2022-11-23T01:37:55.0525596Z 2022-11-23T01:37:55.0525670Z if __name__ == "__main__": 2022-11-23T01:37:55.0525786Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0525908Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0526102Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0526301Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0526511Z arg2_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0526633Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:55.0526638Z 2022-11-23T01:37:55.0526642Z 2022-11-23T01:37:55.0526734Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0526805Z import torch 2022-11-23T01:37:55.0526873Z import random 2022-11-23T01:37:55.0526985Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0527093Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0527098Z 2022-11-23T01:37:55.0527175Z aten = torch.ops.aten 2022-11-23T01:37:55.0527310Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0527402Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0527407Z 2022-11-23T01:37:55.0527411Z 2022-11-23T01:37:55.0527496Z async_compile.wait(globals()) 2022-11-23T01:37:55.0527567Z del async_compile 2022-11-23T01:37:55.0527572Z 2022-11-23T01:37:55.0527639Z def call(args): 2022-11-23T01:37:55.0527711Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.0527768Z args.clear() 2022-11-23T01:37:55.0527984Z buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'swish', [], '') 2022-11-23T01:37:55.0528053Z del arg0_1 2022-11-23T01:37:55.0528122Z del arg1_1 2022-11-23T01:37:55.0528192Z return (buf0, ) 2022-11-23T01:37:55.0528197Z 2022-11-23T01:37:55.0528200Z 2022-11-23T01:37:55.0528274Z if __name__ == "__main__": 2022-11-23T01:37:55.0528385Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0528495Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0528730Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0528942Z arg1_1 = rand_strided((2, 3, 10), (30, 10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0529056Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.0529061Z 2022-11-23T01:37:55.0529066Z 2022-11-23T01:37:55.0529158Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0529228Z import torch 2022-11-23T01:37:55.0529296Z import random 2022-11-23T01:37:55.0529409Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0529515Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0529549Z 2022-11-23T01:37:55.0529628Z aten = torch.ops.aten 2022-11-23T01:37:55.0529761Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0529852Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0529857Z 2022-11-23T01:37:55.0529861Z 2022-11-23T01:37:55.0529946Z async_compile.wait(globals()) 2022-11-23T01:37:55.0530017Z del async_compile 2022-11-23T01:37:55.0530022Z 2022-11-23T01:37:55.0530090Z def call(args): 2022-11-23T01:37:55.0530169Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:55.0530228Z args.clear() 2022-11-23T01:37:55.0530444Z buf0 = torch.ops.mkldnn._linear_pointwise(arg2_1, arg0_1, arg1_1, 'swish', [], '') 2022-11-23T01:37:55.0530514Z del arg0_1 2022-11-23T01:37:55.0530580Z del arg1_1 2022-11-23T01:37:55.0530645Z del arg2_1 2022-11-23T01:37:55.0530713Z return (buf0, ) 2022-11-23T01:37:55.0530718Z 2022-11-23T01:37:55.0530722Z 2022-11-23T01:37:55.0530794Z if __name__ == "__main__": 2022-11-23T01:37:55.0530896Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0531016Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0531219Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0531415Z arg1_1 = rand_strided((30, ), (1, ), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0531618Z arg2_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0531738Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:55.0531743Z 2022-11-23T01:37:55.0531747Z 2022-11-23T01:37:55.0531839Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0531907Z import torch 2022-11-23T01:37:55.0531963Z import random 2022-11-23T01:37:55.0532075Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0532193Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0532198Z 2022-11-23T01:37:55.0532277Z aten = torch.ops.aten 2022-11-23T01:37:55.0532412Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0532501Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0532506Z 2022-11-23T01:37:55.0532510Z 2022-11-23T01:37:55.0532597Z async_compile.wait(globals()) 2022-11-23T01:37:55.0532667Z del async_compile 2022-11-23T01:37:55.0532671Z 2022-11-23T01:37:55.0532728Z def call(args): 2022-11-23T01:37:55.0532803Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.0532871Z args.clear() 2022-11-23T01:37:55.0533086Z buf0 = torch.ops.mkldnn._linear_pointwise(arg1_1, arg0_1, None, 'swish', [], '') 2022-11-23T01:37:55.0533157Z del arg0_1 2022-11-23T01:37:55.0533222Z del arg1_1 2022-11-23T01:37:55.0533291Z return (buf0, ) 2022-11-23T01:37:55.0533296Z 2022-11-23T01:37:55.0533300Z 2022-11-23T01:37:55.0533373Z if __name__ == "__main__": 2022-11-23T01:37:55.0533473Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0533592Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0533798Z arg0_1 = rand_strided((30, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0533998Z arg1_1 = rand_strided((2, 10), (10, 1), device='cpu', dtype=torch.bfloat16) 2022-11-23T01:37:55.0534111Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.0534115Z 2022-11-23T01:37:55.0534180Z ok (1.509s) 2022-11-23T01:37:55.0534525Z test_linspace_cpu (__main__.CpuTests) ... [2022-11-23 01:33:06,172] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0534801Z [2022-11-23 01:33:06,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0535009Z [2022-11-23 01:33:06,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0535265Z [2022-11-23 01:33:06,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.0535553Z [2022-11-23 01:33:06,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.0535912Z [2022-11-23 01:33:06,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0536248Z [2022-11-23 01:33:06,173] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.0536343Z 909 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.0536440Z 2 LOAD_ATTR 1 (linspace) 2022-11-23T01:37:55.0536530Z 4 LOAD_CONST 1 (0.125) 2022-11-23T01:37:55.0536605Z 6 LOAD_CONST 2 (0.875) 2022-11-23T01:37:55.0536692Z 8 LOAD_CONST 3 (7) 2022-11-23T01:37:55.0536780Z 10 LOAD_FAST 0 (x) 2022-11-23T01:37:55.0536869Z 12 LOAD_ATTR 2 (device) 2022-11-23T01:37:55.0537024Z 14 LOAD_CONST 4 (('device',)) 2022-11-23T01:37:55.0537113Z 16 CALL_FUNCTION_KW 4 2022-11-23T01:37:55.0537201Z 18 LOAD_FAST 0 (x) 2022-11-23T01:37:55.0537273Z 20 BINARY_ADD 2022-11-23T01:37:55.0537336Z 22 RETURN_VALUE 2022-11-23T01:37:55.0537394Z 2022-11-23T01:37:55.0537399Z 2022-11-23T01:37:55.0537667Z [2022-11-23 01:33:06,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:909 2022-11-23T01:37:55.0537889Z [2022-11-23 01:33:06,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.0538266Z [2022-11-23 01:33:06,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR linspace [TorchVariable()] 2022-11-23T01:37:55.0538599Z [2022-11-23 01:33:06,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.125 [TorchVariable()] 2022-11-23T01:37:55.0539201Z [2022-11-23 01:33:06,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.875 [TorchVariable(), ConstantVariable(float)] 2022-11-23T01:37:55.0539620Z [2022-11-23 01:33:06,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 7 [TorchVariable(), ConstantVariable(float), ConstantVariable(float)] 2022-11-23T01:37:55.0540066Z [2022-11-23 01:33:06,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(), ConstantVariable(float), ConstantVariable(float), ConstantVariable(int)] 2022-11-23T01:37:55.0540548Z [2022-11-23 01:33:06,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(), ConstantVariable(float), ConstantVariable(float), ConstantVariable(int), TensorVariable()] 2022-11-23T01:37:55.0541041Z [2022-11-23 01:33:06,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(), ConstantVariable(float), ConstantVariable(float), ConstantVariable(int), TorchVariable(cpu)] 2022-11-23T01:37:55.0541628Z [2022-11-23 01:33:06,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 4 [TorchVariable(), ConstantVariable(float), ConstantVariable(float), ConstantVariable(int), TorchVariable(cpu), ConstantVariable(tuple)] 2022-11-23T01:37:55.0541861Z [2022-11-23 01:33:06,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()] 2022-11-23T01:37:55.0542137Z [2022-11-23 01:33:06,176] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.0542386Z [2022-11-23 01:33:06,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.0542759Z [2022-11-23 01:33:06,177] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.0543008Z [2022-11-23 01:33:06,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.0543249Z [2022-11-23 01:33:06,177] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0543505Z [2022-11-23 01:33:06,178] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0543759Z [2022-11-23 01:33:06,183] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0543952Z [2022-11-23 01:33:06,183] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0544088Z __compiled_fn_294 .2565 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0544169Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0544466Z call_function, linspace, , (0.125, 0.875, 7), {'device': device(type='cpu')} 2022-11-23T01:37:55.0544656Z call_function, add, , (linspace, ex_0_), {} 2022-11-23T01:37:55.0544757Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.0544762Z 2022-11-23T01:37:55.0545045Z [2022-11-23 01:33:06,183] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0545137Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0545227Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0545317Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0545395Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0545469Z 8 RETURN_VALUE 2022-11-23T01:37:55.0545475Z 2022-11-23T01:37:55.0545534Z 2022-11-23T01:37:55.0545810Z [2022-11-23 01:33:06,183] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0545921Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_294) 2022-11-23T01:37:55.0546009Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0546097Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0546163Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0546251Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0546338Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.0546412Z 12 RETURN_VALUE 2022-11-23T01:37:55.0546416Z 2022-11-23T01:37:55.0546475Z 2022-11-23T01:37:55.0546659Z [2022-11-23 01:33:06,184] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0546730Z - 2022-11-23T01:37:55.0546839Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0546902Z { 2022-11-23T01:37:55.0547046Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0547239Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0547362Z 'obj_weakref': None 2022-11-23T01:37:55.0547586Z 'guarded_class': 2022-11-23T01:37:55.0547652Z } 2022-11-23T01:37:55.0547713Z 2022-11-23T01:37:55.0547770Z - 2022-11-23T01:37:55.0547926Z local 'ex[0]' TYPE_MATCH 2022-11-23T01:37:55.0547994Z { 2022-11-23T01:37:55.0548228Z 'guard_types': ['TYPE_MATCH'], 2022-11-23T01:37:55.0548407Z 'code': ['___check_type_id(ex[0], 93851459086816)'], 2022-11-23T01:37:55.0548623Z 'obj_weakref': 2022-11-23T01:37:55.0548879Z 'guarded_class': 2022-11-23T01:37:55.0548931Z } 2022-11-23T01:37:55.0548992Z 2022-11-23T01:37:55.0549101Z - 2022-11-23T01:37:55.0549226Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0549290Z { 2022-11-23T01:37:55.0549438Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0549534Z 'code': None, 2022-11-23T01:37:55.0549748Z 'obj_weakref': 2022-11-23T01:37:55.0550006Z 'guarded_class': 2022-11-23T01:37:55.0550072Z } 2022-11-23T01:37:55.0550134Z 2022-11-23T01:37:55.0550204Z - 2022-11-23T01:37:55.0550336Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.0550398Z { 2022-11-23T01:37:55.0550524Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0550693Z 'code': ['___check_obj_id(model, 140538747176576)'], 2022-11-23T01:37:55.0550813Z 'obj_weakref': None 2022-11-23T01:37:55.0551048Z 'guarded_class': 2022-11-23T01:37:55.0551111Z } 2022-11-23T01:37:55.0551171Z 2022-11-23T01:37:55.0551240Z - 2022-11-23T01:37:55.0551350Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0551413Z { 2022-11-23T01:37:55.0551554Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0551772Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0551895Z 'obj_weakref': None 2022-11-23T01:37:55.0552115Z 'guarded_class': 2022-11-23T01:37:55.0552178Z } 2022-11-23T01:37:55.0552228Z 2022-11-23T01:37:55.0552297Z - 2022-11-23T01:37:55.0552432Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.0552495Z { 2022-11-23T01:37:55.0552614Z 'guard_types': None, 2022-11-23T01:37:55.0552725Z 'code': None, 2022-11-23T01:37:55.0552833Z 'obj_weakref': None 2022-11-23T01:37:55.0552959Z 'guarded_class': None 2022-11-23T01:37:55.0553022Z } 2022-11-23T01:37:55.0553082Z 2022-11-23T01:37:55.0553345Z [2022-11-23 01:33:06,189] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 287 2022-11-23T01:37:55.0553715Z [2022-11-23 01:33:07,559] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4n/c4npp2w3iyex7ezxi2xunexpfyyha4t5sjbfyuw22ii4mbmzsycc.py 2022-11-23T01:37:55.0553984Z [2022-11-23 01:33:07,559] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 287 2022-11-23T01:37:55.0553990Z 2022-11-23T01:37:55.0554083Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0554140Z import torch 2022-11-23T01:37:55.0554208Z import random 2022-11-23T01:37:55.0554322Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0554444Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0554449Z 2022-11-23T01:37:55.0554525Z aten = torch.ops.aten 2022-11-23T01:37:55.0554659Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0554750Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0554755Z 2022-11-23T01:37:55.0554759Z 2022-11-23T01:37:55.0554927Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.0555124Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.0555248Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.0555349Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.0555413Z { 2022-11-23T01:37:55.0555494Z #pragma GCC ivdep 2022-11-23T01:37:55.0555577Z for(long i0=0; i0<7; i0+=1) 2022-11-23T01:37:55.0555638Z { 2022-11-23T01:37:55.0555689Z { 2022-11-23T01:37:55.0555755Z { 2022-11-23T01:37:55.0555877Z auto tmp4 = in_ptr0[i0]; 2022-11-23T01:37:55.0555982Z auto tmp0 = static_cast(0.125); 2022-11-23T01:37:55.0556085Z auto tmp1 = static_cast(i0); 2022-11-23T01:37:55.0556173Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.0556261Z auto tmp3 = tmp2 + tmp0; 2022-11-23T01:37:55.0556335Z auto tmp5 = tmp3 + tmp4; 2022-11-23T01:37:55.0556419Z out_ptr0[i0] = tmp5; 2022-11-23T01:37:55.0556483Z } 2022-11-23T01:37:55.0556548Z } 2022-11-23T01:37:55.0556612Z } 2022-11-23T01:37:55.0556670Z } 2022-11-23T01:37:55.0562963Z ''') 2022-11-23T01:37:55.0562975Z 2022-11-23T01:37:55.0562980Z 2022-11-23T01:37:55.0563096Z async_compile.wait(globals()) 2022-11-23T01:37:55.0563173Z del async_compile 2022-11-23T01:37:55.0563178Z 2022-11-23T01:37:55.0563235Z def call(args): 2022-11-23T01:37:55.0563306Z arg0_1, = args 2022-11-23T01:37:55.0563378Z args.clear() 2022-11-23T01:37:55.0563617Z buf0 = empty_strided((1, 7), (7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0563753Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.0563821Z del arg0_1 2022-11-23T01:37:55.0563892Z return (buf0, ) 2022-11-23T01:37:55.0563897Z 2022-11-23T01:37:55.0563902Z 2022-11-23T01:37:55.0563977Z if __name__ == "__main__": 2022-11-23T01:37:55.0564083Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0564207Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0564414Z arg0_1 = rand_strided((1, 7), (7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0564525Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.0564530Z 2022-11-23T01:37:55.0564595Z ok (1.392s) 2022-11-23T01:37:55.0564938Z test_list_clearing_cpu (__main__.CpuTests) ... [2022-11-23 01:33:07,571] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph None 2022-11-23T01:37:55.0565316Z [2022-11-23 01:33:08,965] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lg/clgx43qvqeslgojt4ws5oy3mfyegruizisjz5xh54vsxbmttwefk.py 2022-11-23T01:37:55.0565586Z [2022-11-23 01:33:08,965] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph None 2022-11-23T01:37:55.0565592Z 2022-11-23T01:37:55.0565673Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0565746Z import torch 2022-11-23T01:37:55.0565818Z import random 2022-11-23T01:37:55.0565934Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0566054Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0566060Z 2022-11-23T01:37:55.0566138Z aten = torch.ops.aten 2022-11-23T01:37:55.0566272Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0566364Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0566369Z 2022-11-23T01:37:55.0566373Z 2022-11-23T01:37:55.0566497Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.0566708Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.0566829Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.0566934Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.0567035Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.0567098Z { 2022-11-23T01:37:55.0567254Z for(long i0=0; i0<3; i0+=1) 2022-11-23T01:37:55.0567309Z { 2022-11-23T01:37:55.0567468Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.0567600Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.0567687Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.0567775Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.0567838Z } 2022-11-23T01:37:55.0567927Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.0568010Z for(long i0=24; i0<25; i0+=1) 2022-11-23T01:37:55.0568059Z { 2022-11-23T01:37:55.0568182Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.0568265Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.0568346Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.0568425Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.0568486Z } 2022-11-23T01:37:55.0568533Z } 2022-11-23T01:37:55.0568617Z ''') 2022-11-23T01:37:55.0568623Z 2022-11-23T01:37:55.0568627Z 2022-11-23T01:37:55.0568718Z async_compile.wait(globals()) 2022-11-23T01:37:55.0568791Z del async_compile 2022-11-23T01:37:55.0568796Z 2022-11-23T01:37:55.0568867Z def call(args): 2022-11-23T01:37:55.0568934Z x_1, y_1 = args 2022-11-23T01:37:55.0569006Z args.clear() 2022-11-23T01:37:55.0569205Z buf0 = empty_strided((5, 5), (5, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0569350Z kernel_cpp_0(c_void_p(x_1.data_ptr()), c_void_p(y_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.0569415Z del x_1 2022-11-23T01:37:55.0569480Z del y_1 2022-11-23T01:37:55.0569679Z buf1 = empty_strided((5, 5), (5, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0569773Z aten.mm.out(buf0, buf0, out=buf1) 2022-11-23T01:37:55.0569846Z return (buf1, ) 2022-11-23T01:37:55.0569851Z 2022-11-23T01:37:55.0569855Z 2022-11-23T01:37:55.0569934Z if __name__ == "__main__": 2022-11-23T01:37:55.0570034Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0570159Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0570356Z x_1 = rand_strided((5, 5), (5, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0570549Z y_1 = rand_strided((5, 5), (5, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0570661Z print_performance(lambda: call([x_1, y_1])) 2022-11-23T01:37:55.0570666Z 2022-11-23T01:37:55.0570732Z ok (1.406s) 2022-11-23T01:37:55.0571037Z test_log2_cpu (__main__.CpuTests) ... [2022-11-23 01:33:08,972] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0571314Z [2022-11-23 01:33:08,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0571526Z [2022-11-23 01:33:08,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0571783Z [2022-11-23 01:33:08,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.0572074Z [2022-11-23 01:33:08,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.0572401Z [2022-11-23 01:33:08,972] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0572736Z [2022-11-23 01:33:08,973] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.0572835Z 2692 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.0572928Z 2 LOAD_METHOD 1 (log2) 2022-11-23T01:37:55.0573020Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:55.0573111Z 6 CALL_METHOD 1 2022-11-23T01:37:55.0573191Z 8 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.0573284Z 10 LOAD_METHOD 1 (log2) 2022-11-23T01:37:55.0573428Z 12 LOAD_FAST 0 (x) 2022-11-23T01:37:55.0573521Z 14 LOAD_CONST 1 (1) 2022-11-23T01:37:55.0573596Z 16 BINARY_ADD 2022-11-23T01:37:55.0573685Z 18 CALL_METHOD 1 2022-11-23T01:37:55.0573773Z 20 LOAD_CONST 2 (2) 2022-11-23T01:37:55.0573840Z 22 BINARY_SUBTRACT 2022-11-23T01:37:55.0573930Z 24 BUILD_TUPLE 2 2022-11-23T01:37:55.0574006Z 26 RETURN_VALUE 2022-11-23T01:37:55.0574068Z 2022-11-23T01:37:55.0574074Z 2022-11-23T01:37:55.0574348Z [2022-11-23 01:33:08,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2692 2022-11-23T01:37:55.0574626Z [2022-11-23 01:33:08,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.0574997Z [2022-11-23 01:33:08,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log2 [TorchVariable()] 2022-11-23T01:37:55.0575318Z [2022-11-23 01:33:08,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:37:55.0575676Z [2022-11-23 01:33:08,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.0575913Z [2022-11-23 01:33:08,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:37:55.0576309Z [2022-11-23 01:33:08,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log2 [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.0576661Z [2022-11-23 01:33:08,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.0577042Z [2022-11-23 01:33:08,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.0577472Z [2022-11-23 01:33:08,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.0577855Z [2022-11-23 01:33:08,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.0578129Z [2022-11-23 01:33:08,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.0578451Z [2022-11-23 01:33:08,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.0578726Z [2022-11-23 01:33:08,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.0579238Z [2022-11-23 01:33:08,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.0579581Z [2022-11-23 01:33:08,978] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.0579831Z [2022-11-23 01:33:08,978] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.0580059Z [2022-11-23 01:33:08,978] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0580315Z [2022-11-23 01:33:08,980] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0580569Z [2022-11-23 01:33:08,984] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0580836Z [2022-11-23 01:33:08,984] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0580978Z __compiled_fn_295 .2572 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0581068Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0581296Z call_function, log2, , (ex_0_,), {} 2022-11-23T01:37:55.0581472Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:55.0581681Z call_function, log2_1, , (add,), {} 2022-11-23T01:37:55.0581859Z call_function, sub, , (log2_1, 2), {} 2022-11-23T01:37:55.0582006Z output, output, output, ((log2, sub),), {} 2022-11-23T01:37:55.0582012Z 2022-11-23T01:37:55.0582294Z [2022-11-23 01:33:08,985] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0582389Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0582483Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0582578Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0582670Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0582733Z 8 RETURN_VALUE 2022-11-23T01:37:55.0582738Z 2022-11-23T01:37:55.0582799Z 2022-11-23T01:37:55.0583079Z [2022-11-23 01:33:08,985] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0583190Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_295) 2022-11-23T01:37:55.0583284Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0583378Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0583455Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0583543Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0583635Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.0583738Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.0583829Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0583904Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.0584005Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.0584095Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.0584170Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.0584246Z 24 BUILD_TUPLE 2 2022-11-23T01:37:55.0584322Z 26 RETURN_VALUE 2022-11-23T01:37:55.0584327Z 2022-11-23T01:37:55.0584387Z 2022-11-23T01:37:55.0584573Z [2022-11-23 01:33:08,986] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0584651Z - 2022-11-23T01:37:55.0584774Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0584839Z { 2022-11-23T01:37:55.0584968Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0585157Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0585283Z 'obj_weakref': None 2022-11-23T01:37:55.0585511Z 'guarded_class': 2022-11-23T01:37:55.0585578Z } 2022-11-23T01:37:55.0585641Z 2022-11-23T01:37:55.0585712Z - 2022-11-23T01:37:55.0585827Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0585891Z { 2022-11-23T01:37:55.0586035Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0586147Z 'code': None, 2022-11-23T01:37:55.0586365Z 'obj_weakref': 2022-11-23T01:37:55.0586624Z 'guarded_class': 2022-11-23T01:37:55.0586689Z } 2022-11-23T01:37:55.0586738Z 2022-11-23T01:37:55.0586809Z - 2022-11-23T01:37:55.0586942Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.0587038Z { 2022-11-23T01:37:55.0587178Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0587352Z 'code': ['___check_obj_id(model, 140539097551648)'], 2022-11-23T01:37:55.0587474Z 'obj_weakref': None 2022-11-23T01:37:55.0587695Z 'guarded_class': 2022-11-23T01:37:55.0587760Z } 2022-11-23T01:37:55.0587823Z 2022-11-23T01:37:55.0587894Z - 2022-11-23T01:37:55.0588018Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0588083Z { 2022-11-23T01:37:55.0588354Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0588560Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0588683Z 'obj_weakref': None 2022-11-23T01:37:55.0588907Z 'guarded_class': 2022-11-23T01:37:55.0588973Z } 2022-11-23T01:37:55.0589038Z 2022-11-23T01:37:55.0589110Z - 2022-11-23T01:37:55.0589247Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.0589298Z { 2022-11-23T01:37:55.0589420Z 'guard_types': None, 2022-11-23T01:37:55.0589528Z 'code': None, 2022-11-23T01:37:55.0589650Z 'obj_weakref': None 2022-11-23T01:37:55.0589774Z 'guarded_class': None 2022-11-23T01:37:55.0589837Z } 2022-11-23T01:37:55.0589900Z 2022-11-23T01:37:55.0590150Z [2022-11-23 01:33:08,995] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 288 2022-11-23T01:37:55.0590528Z [2022-11-23 01:33:10,376] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zq/czq4kzbtvmrg7ofjorxds47qhw2mftlyyekstjwsrsxhpudgo7f5.py 2022-11-23T01:37:55.0590796Z [2022-11-23 01:33:10,376] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 288 2022-11-23T01:37:55.0590804Z 2022-11-23T01:37:55.0590899Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0590972Z import torch 2022-11-23T01:37:55.0591044Z import random 2022-11-23T01:37:55.0591159Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0591281Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0591286Z 2022-11-23T01:37:55.0591351Z aten = torch.ops.aten 2022-11-23T01:37:55.0591489Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0591581Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0591587Z 2022-11-23T01:37:55.0591593Z 2022-11-23T01:37:55.0591734Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.0591939Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.0592060Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.0592159Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.0592259Z float* __restrict__ out_ptr1) 2022-11-23T01:37:55.0592307Z { 2022-11-23T01:37:55.0592389Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.0592451Z { 2022-11-23T01:37:55.0592594Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.0592676Z auto tmp1 = tmp0.log(); 2022-11-23T01:37:55.0592819Z auto tmp2 = at::vec::Vectorized(static_cast(1.4426950408889634)); 2022-11-23T01:37:55.0592903Z auto tmp3 = tmp1 * tmp2; 2022-11-23T01:37:55.0593020Z auto tmp4 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:55.0593105Z auto tmp5 = tmp0 + tmp4; 2022-11-23T01:37:55.0593188Z auto tmp6 = tmp5.log(); 2022-11-23T01:37:55.0593270Z auto tmp7 = tmp6 * tmp2; 2022-11-23T01:37:55.0593400Z auto tmp8 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:37:55.0593523Z auto tmp9 = tmp7 - tmp8; 2022-11-23T01:37:55.0593612Z tmp3.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.0593719Z tmp9.store(out_ptr1 + 8*i0); 2022-11-23T01:37:55.0593783Z } 2022-11-23T01:37:55.0593871Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.0593955Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:37:55.0594017Z { 2022-11-23T01:37:55.0594097Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.0594185Z auto tmp1 = std::log(tmp0); 2022-11-23T01:37:55.0594280Z auto tmp2 = static_cast(1.4426950408889634); 2022-11-23T01:37:55.0594361Z auto tmp3 = tmp1 * tmp2; 2022-11-23T01:37:55.0594458Z auto tmp4 = static_cast(1); 2022-11-23T01:37:55.0594570Z auto tmp5 = tmp0 + tmp4; 2022-11-23T01:37:55.0594666Z auto tmp6 = std::log(tmp5); 2022-11-23T01:37:55.0594735Z auto tmp7 = tmp6 * tmp2; 2022-11-23T01:37:55.0594827Z auto tmp8 = static_cast(2); 2022-11-23T01:37:55.0594949Z auto tmp9 = tmp7 - tmp8; 2022-11-23T01:37:55.0595025Z out_ptr0[i0] = tmp3; 2022-11-23T01:37:55.0595100Z out_ptr1[i0] = tmp9; 2022-11-23T01:37:55.0595160Z } 2022-11-23T01:37:55.0595219Z } 2022-11-23T01:37:55.0595285Z ''') 2022-11-23T01:37:55.0595290Z 2022-11-23T01:37:55.0595307Z 2022-11-23T01:37:55.0595383Z async_compile.wait(globals()) 2022-11-23T01:37:55.0595456Z del async_compile 2022-11-23T01:37:55.0595461Z 2022-11-23T01:37:55.0595531Z def call(args): 2022-11-23T01:37:55.0595599Z arg0_1, = args 2022-11-23T01:37:55.0595671Z args.clear() 2022-11-23T01:37:55.0595866Z buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0596060Z buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0596214Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:55.0596281Z del arg0_1 2022-11-23T01:37:55.0596356Z return (buf0, buf1, ) 2022-11-23T01:37:55.0596361Z 2022-11-23T01:37:55.0596365Z 2022-11-23T01:37:55.0596440Z if __name__ == "__main__": 2022-11-23T01:37:55.0596553Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0596675Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0596870Z arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0596977Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.0596982Z 2022-11-23T01:37:55.0597035Z ok (1.412s) 2022-11-23T01:37:55.0597347Z test_log_fp64_cpu (__main__.CpuTests) ... [2022-11-23 01:33:10,384] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0597621Z [2022-11-23 01:33:10,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0597845Z [2022-11-23 01:33:10,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0598105Z [2022-11-23 01:33:10,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.0598398Z [2022-11-23 01:33:10,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.0598728Z [2022-11-23 01:33:10,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0599061Z [2022-11-23 01:33:10,384] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.0599162Z 2710 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.0599242Z 2 LOAD_METHOD 1 (log) 2022-11-23T01:37:55.0599337Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:55.0599427Z 6 CALL_METHOD 1 2022-11-23T01:37:55.0599520Z 8 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.0599612Z 10 LOAD_METHOD 2 (log2) 2022-11-23T01:37:55.0599735Z 12 LOAD_FAST 0 (x) 2022-11-23T01:37:55.0599827Z 14 CALL_METHOD 1 2022-11-23T01:37:55.0599903Z 16 BUILD_TUPLE 2 2022-11-23T01:37:55.0599982Z 18 RETURN_VALUE 2022-11-23T01:37:55.0600045Z 2022-11-23T01:37:55.0600050Z 2022-11-23T01:37:55.0600325Z [2022-11-23 01:33:10,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2710 2022-11-23T01:37:55.0600549Z [2022-11-23 01:33:10,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.0600917Z [2022-11-23 01:33:10,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log [TorchVariable()] 2022-11-23T01:37:55.0601271Z [2022-11-23 01:33:10,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:37:55.0601632Z [2022-11-23 01:33:10,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.0601885Z [2022-11-23 01:33:10,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:37:55.0602281Z [2022-11-23 01:33:10,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log2 [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.0602617Z [2022-11-23 01:33:10,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.0603008Z [2022-11-23 01:33:10,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.0603284Z [2022-11-23 01:33:10,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.0603535Z [2022-11-23 01:33:10,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.0603871Z [2022-11-23 01:33:10,388] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.0604121Z [2022-11-23 01:33:10,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.0604360Z [2022-11-23 01:33:10,388] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0604622Z [2022-11-23 01:33:10,389] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0604877Z [2022-11-23 01:33:10,392] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0605073Z [2022-11-23 01:33:10,392] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0605197Z __compiled_fn_296 .2578 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0605289Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0605518Z call_function, log, , (ex_0_,), {} 2022-11-23T01:37:55.0605747Z call_function, log2, , (ex_0_,), {} 2022-11-23T01:37:55.0605848Z output, output, output, ((log, log2),), {} 2022-11-23T01:37:55.0605854Z 2022-11-23T01:37:55.0606135Z [2022-11-23 01:33:10,393] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0606232Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0606324Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0606405Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0606496Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0606603Z 8 RETURN_VALUE 2022-11-23T01:37:55.0606608Z 2022-11-23T01:37:55.0606672Z 2022-11-23T01:37:55.0606950Z [2022-11-23 01:33:10,393] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0607059Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_296) 2022-11-23T01:37:55.0607151Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0607241Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0607304Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0607393Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0607532Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.0607631Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.0607722Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0607796Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.0607902Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.0607979Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.0608054Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.0608140Z 24 BUILD_TUPLE 2 2022-11-23T01:37:55.0608213Z 26 RETURN_VALUE 2022-11-23T01:37:55.0608219Z 2022-11-23T01:37:55.0608277Z 2022-11-23T01:37:55.0608462Z [2022-11-23 01:33:10,394] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0608534Z - 2022-11-23T01:37:55.0608643Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0608706Z { 2022-11-23T01:37:55.0608849Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0609041Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0609163Z 'obj_weakref': None 2022-11-23T01:37:55.0609388Z 'guarded_class': 2022-11-23T01:37:55.0609452Z } 2022-11-23T01:37:55.0609504Z 2022-11-23T01:37:55.0609574Z - 2022-11-23T01:37:55.0609701Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0609763Z { 2022-11-23T01:37:55.0609910Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0610020Z 'code': None, 2022-11-23T01:37:55.0610236Z 'obj_weakref': 2022-11-23T01:37:55.0610479Z 'guarded_class': 2022-11-23T01:37:55.0610544Z } 2022-11-23T01:37:55.0610608Z 2022-11-23T01:37:55.0610678Z - 2022-11-23T01:37:55.0610810Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.0610876Z { 2022-11-23T01:37:55.0611012Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0611172Z 'code': ['___check_obj_id(model, 140538913567520)'], 2022-11-23T01:37:55.0611293Z 'obj_weakref': None 2022-11-23T01:37:55.0611529Z 'guarded_class': 2022-11-23T01:37:55.0611593Z } 2022-11-23T01:37:55.0611657Z 2022-11-23T01:37:55.0611730Z - 2022-11-23T01:37:55.0611853Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0611903Z { 2022-11-23T01:37:55.0612040Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0612258Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0612380Z 'obj_weakref': None 2022-11-23T01:37:55.0612605Z 'guarded_class': 2022-11-23T01:37:55.0612668Z } 2022-11-23T01:37:55.0612730Z 2022-11-23T01:37:55.0612787Z - 2022-11-23T01:37:55.0612921Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.0612984Z { 2022-11-23T01:37:55.0613170Z 'guard_types': None, 2022-11-23T01:37:55.0613285Z 'code': None, 2022-11-23T01:37:55.0613405Z 'obj_weakref': None 2022-11-23T01:37:55.0613529Z 'guarded_class': None 2022-11-23T01:37:55.0613578Z } 2022-11-23T01:37:55.0613640Z 2022-11-23T01:37:55.0613903Z [2022-11-23 01:33:10,400] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 289 2022-11-23T01:37:55.0614273Z [2022-11-23 01:33:11,781] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gi/cgikhi2zza6bymcpb3zsf6kgnmde5qgge2mt3gi7iyill7t7vcf4.py 2022-11-23T01:37:55.0614573Z [2022-11-23 01:33:11,782] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 289 2022-11-23T01:37:55.0614578Z 2022-11-23T01:37:55.0614672Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0614741Z import torch 2022-11-23T01:37:55.0614810Z import random 2022-11-23T01:37:55.0614914Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0615034Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0615039Z 2022-11-23T01:37:55.0615116Z aten = torch.ops.aten 2022-11-23T01:37:55.0615249Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0615342Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0615347Z 2022-11-23T01:37:55.0615352Z 2022-11-23T01:37:55.0615487Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.0615691Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.0615813Z extern "C" void kernel(const double* __restrict__ in_ptr0, 2022-11-23T01:37:55.0615904Z double* __restrict__ out_ptr0, 2022-11-23T01:37:55.0616004Z double* __restrict__ out_ptr1) 2022-11-23T01:37:55.0616064Z { 2022-11-23T01:37:55.0616139Z #pragma GCC ivdep 2022-11-23T01:37:55.0616220Z for(long i0=0; i0<1024; i0+=1) 2022-11-23T01:37:55.0616281Z { 2022-11-23T01:37:55.0616343Z { 2022-11-23T01:37:55.0616393Z { 2022-11-23T01:37:55.0616479Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.0616580Z auto tmp1 = std::log(tmp0); 2022-11-23T01:37:55.0616693Z auto tmp2 = static_cast(1.4426950408889634); 2022-11-23T01:37:55.0616779Z auto tmp3 = tmp1 * tmp2; 2022-11-23T01:37:55.0616861Z out_ptr0[i0] = tmp1; 2022-11-23T01:37:55.0616938Z out_ptr1[i0] = tmp3; 2022-11-23T01:37:55.0616988Z } 2022-11-23T01:37:55.0617051Z } 2022-11-23T01:37:55.0617115Z } 2022-11-23T01:37:55.0617173Z } 2022-11-23T01:37:55.0617253Z ''') 2022-11-23T01:37:55.0617259Z 2022-11-23T01:37:55.0617263Z 2022-11-23T01:37:55.0617350Z async_compile.wait(globals()) 2022-11-23T01:37:55.0617420Z del async_compile 2022-11-23T01:37:55.0617425Z 2022-11-23T01:37:55.0617482Z def call(args): 2022-11-23T01:37:55.0617554Z arg0_1, = args 2022-11-23T01:37:55.0617622Z args.clear() 2022-11-23T01:37:55.0617825Z buf0 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float64) 2022-11-23T01:37:55.0618026Z buf1 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float64) 2022-11-23T01:37:55.0618189Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:55.0618257Z del arg0_1 2022-11-23T01:37:55.0618321Z return (buf0, buf1, ) 2022-11-23T01:37:55.0618326Z 2022-11-23T01:37:55.0618341Z 2022-11-23T01:37:55.0618403Z if __name__ == "__main__": 2022-11-23T01:37:55.0618516Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0618639Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0619099Z arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float64) 2022-11-23T01:37:55.0619215Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.0619220Z 2022-11-23T01:37:55.0619288Z ok (1.405s) 2022-11-23T01:37:55.0619669Z test_log_softmax_cpu (__main__.CpuTests) ... [2022-11-23 01:33:11,790] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0619935Z [2022-11-23 01:33:11,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0620159Z [2022-11-23 01:33:11,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0620414Z [2022-11-23 01:33:11,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.0620705Z [2022-11-23 01:33:11,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.0621090Z [2022-11-23 01:33:11,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0621428Z [2022-11-23 01:33:11,790] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.0621522Z 1237 0 LOAD_GLOBAL 0 (F) 2022-11-23T01:37:55.0621622Z 2 LOAD_METHOD 1 (log_softmax) 2022-11-23T01:37:55.0621711Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.0621789Z 6 LOAD_FAST 1 (b) 2022-11-23T01:37:55.0621863Z 8 BINARY_ADD 2022-11-23T01:37:55.0622002Z 10 LOAD_CONST 1 (-1) 2022-11-23T01:37:55.0622090Z 12 CALL_METHOD 2 2022-11-23T01:37:55.0622180Z 14 LOAD_GLOBAL 0 (F) 2022-11-23T01:37:55.0622283Z 16 LOAD_METHOD 1 (log_softmax) 2022-11-23T01:37:55.0622372Z 18 LOAD_FAST 0 (a) 2022-11-23T01:37:55.0622447Z 20 LOAD_CONST 2 (0) 2022-11-23T01:37:55.0622533Z 22 CALL_METHOD 2 2022-11-23T01:37:55.0622623Z 24 LOAD_GLOBAL 0 (F) 2022-11-23T01:37:55.0622722Z 26 LOAD_METHOD 1 (log_softmax) 2022-11-23T01:37:55.0622808Z 28 LOAD_FAST 1 (b) 2022-11-23T01:37:55.0622893Z 30 LOAD_CONST 3 (1) 2022-11-23T01:37:55.0622979Z 32 CALL_METHOD 2 2022-11-23T01:37:55.0623067Z 34 BUILD_TUPLE 3 2022-11-23T01:37:55.0623130Z 36 RETURN_VALUE 2022-11-23T01:37:55.0623190Z 2022-11-23T01:37:55.0623195Z 2022-11-23T01:37:55.0623473Z [2022-11-23 01:33:11,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1237 2022-11-23T01:37:55.0623694Z [2022-11-23 01:33:11,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [] 2022-11-23T01:37:55.0624111Z [2022-11-23 01:33:11,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log_softmax [TorchVariable()] 2022-11-23T01:37:55.0624408Z [2022-11-23 01:33:11,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:55.0624735Z [2022-11-23 01:33:11,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.0625095Z [2022-11-23 01:33:11,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.0625424Z [2022-11-23 01:33:11,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.0625797Z [2022-11-23 01:33:11,792] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.0626067Z [2022-11-23 01:33:11,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable()] 2022-11-23T01:37:55.0626514Z [2022-11-23 01:33:11,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log_softmax [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.0626840Z [2022-11-23 01:33:11,796] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.0627191Z [2022-11-23 01:33:11,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.0627620Z [2022-11-23 01:33:11,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.0627890Z [2022-11-23 01:33:11,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.0628433Z [2022-11-23 01:33:11,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR log_softmax [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.0628791Z [2022-11-23 01:33:11,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.0629177Z [2022-11-23 01:33:11,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.0629609Z [2022-11-23 01:33:11,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.0629914Z [2022-11-23 01:33:11,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.0630165Z [2022-11-23 01:33:11,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.0630500Z [2022-11-23 01:33:11,803] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.0630735Z [2022-11-23 01:33:11,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.0630976Z [2022-11-23 01:33:11,804] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0631234Z [2022-11-23 01:33:11,805] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0631490Z [2022-11-23 01:33:11,815] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0631685Z [2022-11-23 01:33:11,815] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0631818Z __compiled_fn_297 .2584 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0631908Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0631995Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.0632163Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.0632383Z call_function, log_softmax, , (add, -1), {} 2022-11-23T01:37:55.0632529Z call_function, log_softmax_1, , (ex_0_, 0), {} 2022-11-23T01:37:55.0632674Z call_function, log_softmax_2, , (ex_1_, 1), {} 2022-11-23T01:37:55.0632811Z output, output, output, ((log_softmax, log_softmax_1, log_softmax_2),), {} 2022-11-23T01:37:55.0632817Z 2022-11-23T01:37:55.0633133Z [2022-11-23 01:33:11,816] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0633230Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0633319Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0633400Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0633489Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0633564Z 8 RETURN_VALUE 2022-11-23T01:37:55.0633570Z 2022-11-23T01:37:55.0633631Z 2022-11-23T01:37:55.0633909Z [2022-11-23 01:33:11,816] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0634053Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_297) 2022-11-23T01:37:55.0634143Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0634233Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0634297Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0634386Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0634474Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.0634548Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.0634634Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.0634739Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.0634842Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.0634917Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0634991Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.0635092Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.0635181Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:55.0635254Z 28 BINARY_SUBSCR 2022-11-23T01:37:55.0635352Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.0635438Z 32 LOAD_CONST 3 (2) 2022-11-23T01:37:55.0635500Z 34 BINARY_SUBSCR 2022-11-23T01:37:55.0635590Z 36 BUILD_TUPLE 3 2022-11-23T01:37:55.0635665Z 38 RETURN_VALUE 2022-11-23T01:37:55.0635670Z 2022-11-23T01:37:55.0635729Z 2022-11-23T01:37:55.0635916Z [2022-11-23 01:33:11,817] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0635988Z - 2022-11-23T01:37:55.0636111Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0636165Z { 2022-11-23T01:37:55.0636309Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0636498Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.0636626Z 'obj_weakref': None 2022-11-23T01:37:55.0636856Z 'guarded_class': 2022-11-23T01:37:55.0636923Z } 2022-11-23T01:37:55.0636985Z 2022-11-23T01:37:55.0637045Z - 2022-11-23T01:37:55.0637170Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0637236Z { 2022-11-23T01:37:55.0637381Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0637490Z 'code': None, 2022-11-23T01:37:55.0637704Z 'obj_weakref': 2022-11-23T01:37:55.0637962Z 'guarded_class': 2022-11-23T01:37:55.0638027Z } 2022-11-23T01:37:55.0638077Z 2022-11-23T01:37:55.0638146Z - 2022-11-23T01:37:55.0638271Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.0638338Z { 2022-11-23T01:37:55.0638482Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0638591Z 'code': None, 2022-11-23T01:37:55.0638794Z 'obj_weakref': 2022-11-23T01:37:55.0639087Z 'guarded_class': 2022-11-23T01:37:55.0639154Z } 2022-11-23T01:37:55.0639217Z 2022-11-23T01:37:55.0639287Z - 2022-11-23T01:37:55.0639419Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.0639480Z { 2022-11-23T01:37:55.0639603Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0639773Z 'code': ['___check_obj_id(model, 140538739007712)'], 2022-11-23T01:37:55.0639893Z 'obj_weakref': None 2022-11-23T01:37:55.0640125Z 'guarded_class': 2022-11-23T01:37:55.0640220Z } 2022-11-23T01:37:55.0640280Z 2022-11-23T01:37:55.0640351Z - 2022-11-23T01:37:55.0640462Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0640523Z { 2022-11-23T01:37:55.0640661Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0640882Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0641002Z 'obj_weakref': None 2022-11-23T01:37:55.0641223Z 'guarded_class': 2022-11-23T01:37:55.0641286Z } 2022-11-23T01:37:55.0641345Z 2022-11-23T01:37:55.0641402Z - 2022-11-23T01:37:55.0641529Z global 'F' FUNCTION_MATCH 2022-11-23T01:37:55.0641593Z { 2022-11-23T01:37:55.0641717Z 'guard_types': None, 2022-11-23T01:37:55.0641827Z 'code': None, 2022-11-23T01:37:55.0641951Z 'obj_weakref': None 2022-11-23T01:37:55.0642064Z 'guarded_class': None 2022-11-23T01:37:55.0642129Z } 2022-11-23T01:37:55.0642192Z 2022-11-23T01:37:55.0642458Z [2022-11-23 01:33:11,839] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 290 2022-11-23T01:37:55.0642464Z 2022-11-23T01:37:55.0642563Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0642635Z import torch 2022-11-23T01:37:55.0642706Z import random 2022-11-23T01:37:55.0642809Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0642933Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0642939Z 2022-11-23T01:37:55.0643018Z aten = torch.ops.aten 2022-11-23T01:37:55.0643152Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0643245Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0643250Z 2022-11-23T01:37:55.0643255Z 2022-11-23T01:37:55.0643391Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.0643602Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.0643724Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.0643831Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.0643918Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.0644018Z float* __restrict__ out_ptr1, 2022-11-23T01:37:55.0644116Z float* __restrict__ out_ptr2, 2022-11-23T01:37:55.0644210Z float* __restrict__ out_ptr3, 2022-11-23T01:37:55.0644304Z float* __restrict__ out_ptr4, 2022-11-23T01:37:55.0644398Z float* __restrict__ out_ptr5, 2022-11-23T01:37:55.0644493Z float* __restrict__ out_ptr6, 2022-11-23T01:37:55.0644572Z float* __restrict__ out_ptr7, 2022-11-23T01:37:55.0644667Z float* __restrict__ out_ptr8) 2022-11-23T01:37:55.0644732Z { 2022-11-23T01:37:55.0644811Z #pragma GCC ivdep 2022-11-23T01:37:55.0644892Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.0644955Z { 2022-11-23T01:37:55.0645019Z { 2022-11-23T01:37:55.0645427Z #pragma omp declare reduction(max:at::vec::Vectorized:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits::infinity()}}) 2022-11-23T01:37:55.0645667Z float tmp3 = -std::numeric_limits::infinity(); 2022-11-23T01:37:55.0645792Z auto tmp3_vec = at::vec::Vectorized(tmp3); 2022-11-23T01:37:55.0645877Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:37:55.0645943Z { 2022-11-23T01:37:55.0646084Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i0) + (8*i1)); 2022-11-23T01:37:55.0646223Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + (8*i0) + (8*i1)); 2022-11-23T01:37:55.0646312Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.0646474Z tmp3_vec = at::vec::maximum(tmp3_vec, tmp2); 2022-11-23T01:37:55.0646526Z } 2022-11-23T01:37:55.0646740Z tmp3 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return at::vec::maximum(x, y);}, tmp3_vec); 2022-11-23T01:37:55.0646863Z #pragma omp simd simdlen(4) reduction(max:tmp3) 2022-11-23T01:37:55.0646949Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:37:55.0647015Z { 2022-11-23T01:37:55.0647109Z auto tmp0 = in_ptr0[i1 + (8*i0)]; 2022-11-23T01:37:55.0647206Z auto tmp1 = in_ptr1[i1 + (8*i0)]; 2022-11-23T01:37:55.0647283Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.0647380Z tmp3 = std::max(tmp3, tmp2); 2022-11-23T01:37:55.0647443Z } 2022-11-23T01:37:55.0647522Z out_ptr0[i0] = tmp3; 2022-11-23T01:37:55.0647586Z } 2022-11-23T01:37:55.0647647Z } 2022-11-23T01:37:55.0647727Z #pragma GCC ivdep 2022-11-23T01:37:55.0647793Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.0647854Z { 2022-11-23T01:37:55.0647917Z { 2022-11-23T01:37:55.0648103Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:37:55.0648180Z float tmp6 = 0; 2022-11-23T01:37:55.0648302Z auto tmp6_vec = at::vec::Vectorized(tmp6); 2022-11-23T01:37:55.0648683Z #pragma omp declare reduction(max:at::vec::Vectorized:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits::infinity()}}) 2022-11-23T01:37:55.0648891Z float tmp7 = -std::numeric_limits::infinity(); 2022-11-23T01:37:55.0649000Z auto tmp7_vec = at::vec::Vectorized(tmp7); 2022-11-23T01:37:55.0649082Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:37:55.0649144Z { 2022-11-23T01:37:55.0649281Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i0) + (8*i1)); 2022-11-23T01:37:55.0649422Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + (8*i0) + (8*i1)); 2022-11-23T01:37:55.0649546Z auto tmp3 = at::vec::Vectorized(out_ptr0[i0]); 2022-11-23T01:37:55.0649633Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.0649768Z auto tmp4 = tmp2 - tmp3; 2022-11-23T01:37:55.0649842Z auto tmp5 = tmp4.exp(); 2022-11-23T01:37:55.0649921Z tmp6_vec += tmp5; 2022-11-23T01:37:55.0650035Z tmp7_vec = at::vec::maximum(tmp7_vec, tmp1); 2022-11-23T01:37:55.0650096Z } 2022-11-23T01:37:55.0650289Z tmp6 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp6_vec); 2022-11-23T01:37:55.0650498Z tmp7 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return at::vec::maximum(x, y);}, tmp7_vec); 2022-11-23T01:37:55.0650639Z #pragma omp simd simdlen(4) reduction(+:tmp6) reduction(max:tmp7) 2022-11-23T01:37:55.0650722Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:37:55.0650782Z { 2022-11-23T01:37:55.0650864Z auto tmp0 = in_ptr0[i1 + (8*i0)]; 2022-11-23T01:37:55.0650985Z auto tmp1 = in_ptr1[i1 + (8*i0)]; 2022-11-23T01:37:55.0651075Z auto tmp3 = out_ptr0[i0]; 2022-11-23T01:37:55.0651161Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.0651295Z auto tmp4 = tmp2 - tmp3; 2022-11-23T01:37:55.0651391Z auto tmp5 = std::exp(tmp4); 2022-11-23T01:37:55.0651465Z tmp6 += tmp5; 2022-11-23T01:37:55.0651546Z tmp7 = std::max(tmp7, tmp1); 2022-11-23T01:37:55.0651608Z } 2022-11-23T01:37:55.0651686Z out_ptr1[i0] = tmp6; 2022-11-23T01:37:55.0651764Z out_ptr2[i0] = tmp7; 2022-11-23T01:37:55.0651858Z } 2022-11-23T01:37:55.0651917Z } 2022-11-23T01:37:55.0651993Z #pragma GCC ivdep 2022-11-23T01:37:55.0652060Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.0652119Z { 2022-11-23T01:37:55.0652180Z { 2022-11-23T01:37:55.0652240Z { 2022-11-23T01:37:55.0652453Z float tmp1 = -std::numeric_limits::infinity(); 2022-11-23T01:37:55.0652543Z for(long i1=0; i1<8; i1+=1) 2022-11-23T01:37:55.0652597Z { 2022-11-23T01:37:55.0652664Z { 2022-11-23T01:37:55.0652764Z auto tmp0 = in_ptr0[i0 + (8*i1)]; 2022-11-23T01:37:55.0652866Z tmp1 = std::max(tmp1, tmp0); 2022-11-23T01:37:55.0652932Z } 2022-11-23T01:37:55.0652994Z } 2022-11-23T01:37:55.0653078Z out_ptr3[i0] = tmp1; 2022-11-23T01:37:55.0653128Z } 2022-11-23T01:37:55.0653188Z } 2022-11-23T01:37:55.0653247Z } 2022-11-23T01:37:55.0653324Z #pragma GCC ivdep 2022-11-23T01:37:55.0653401Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.0653465Z { 2022-11-23T01:37:55.0653524Z { 2022-11-23T01:37:55.0653573Z { 2022-11-23T01:37:55.0653649Z float tmp4 = 0; 2022-11-23T01:37:55.0653736Z for(long i1=0; i1<8; i1+=1) 2022-11-23T01:37:55.0653800Z { 2022-11-23T01:37:55.0653865Z { 2022-11-23T01:37:55.0653967Z auto tmp0 = in_ptr0[i0 + (8*i1)]; 2022-11-23T01:37:55.0654062Z auto tmp1 = out_ptr3[i0]; 2022-11-23T01:37:55.0654192Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:37:55.0654294Z auto tmp3 = std::exp(tmp2); 2022-11-23T01:37:55.0654376Z tmp4 += tmp3; 2022-11-23T01:37:55.0654442Z } 2022-11-23T01:37:55.0654506Z } 2022-11-23T01:37:55.0654585Z out_ptr4[i0] = tmp4; 2022-11-23T01:37:55.0654645Z } 2022-11-23T01:37:55.0654698Z } 2022-11-23T01:37:55.0654758Z } 2022-11-23T01:37:55.0654831Z #pragma GCC ivdep 2022-11-23T01:37:55.0654907Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.0654965Z { 2022-11-23T01:37:55.0655024Z { 2022-11-23T01:37:55.0655201Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:37:55.0655276Z float tmp4 = 0; 2022-11-23T01:37:55.0655396Z auto tmp4_vec = at::vec::Vectorized(tmp4); 2022-11-23T01:37:55.0655476Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:37:55.0655540Z { 2022-11-23T01:37:55.0655678Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr1 + (8*i0) + (8*i1)); 2022-11-23T01:37:55.0655801Z auto tmp1 = at::vec::Vectorized(out_ptr2[i0]); 2022-11-23T01:37:55.0655934Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:37:55.0656007Z auto tmp3 = tmp2.exp(); 2022-11-23T01:37:55.0656088Z tmp4_vec += tmp3; 2022-11-23T01:37:55.0656152Z } 2022-11-23T01:37:55.0656347Z tmp4 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp4_vec); 2022-11-23T01:37:55.0656463Z #pragma omp simd simdlen(4) reduction(+:tmp4) 2022-11-23T01:37:55.0656578Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:37:55.0656641Z { 2022-11-23T01:37:55.0656736Z auto tmp0 = in_ptr1[i1 + (8*i0)]; 2022-11-23T01:37:55.0656812Z auto tmp1 = out_ptr2[i0]; 2022-11-23T01:37:55.0656945Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:37:55.0657040Z auto tmp3 = std::exp(tmp2); 2022-11-23T01:37:55.0657113Z tmp4 += tmp3; 2022-11-23T01:37:55.0657175Z } 2022-11-23T01:37:55.0657253Z out_ptr5[i0] = tmp4; 2022-11-23T01:37:55.0657314Z } 2022-11-23T01:37:55.0657363Z } 2022-11-23T01:37:55.0657471Z #pragma GCC ivdep 2022-11-23T01:37:55.0657548Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.0657608Z { 2022-11-23T01:37:55.0657688Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:37:55.0657749Z { 2022-11-23T01:37:55.0657874Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i0) + (8*i1)); 2022-11-23T01:37:55.0658009Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + (8*i0) + (8*i1)); 2022-11-23T01:37:55.0658135Z auto tmp3 = at::vec::Vectorized(out_ptr0[i0]); 2022-11-23T01:37:55.0658258Z auto tmp5 = at::vec::Vectorized(out_ptr1[i0]); 2022-11-23T01:37:55.0658389Z auto tmp8 = at::vec::Vectorized::loadu(out_ptr3 + 8*i1); 2022-11-23T01:37:55.0658520Z auto tmp10 = at::vec::Vectorized::loadu(out_ptr4 + 8*i1); 2022-11-23T01:37:55.0658643Z auto tmp13 = at::vec::Vectorized(out_ptr2[i0]); 2022-11-23T01:37:55.0658926Z auto tmp15 = at::vec::Vectorized(out_ptr5[i0]); 2022-11-23T01:37:55.0659076Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.0659199Z auto tmp4 = tmp2 - tmp3; 2022-11-23T01:37:55.0659287Z auto tmp6 = tmp5.log(); 2022-11-23T01:37:55.0659412Z auto tmp7 = tmp4 - tmp6; 2022-11-23T01:37:55.0659536Z auto tmp9 = tmp0 - tmp8; 2022-11-23T01:37:55.0659624Z auto tmp11 = tmp10.log(); 2022-11-23T01:37:55.0659752Z auto tmp12 = tmp9 - tmp11; 2022-11-23T01:37:55.0659880Z auto tmp14 = tmp1 - tmp13; 2022-11-23T01:37:55.0659952Z auto tmp16 = tmp15.log(); 2022-11-23T01:37:55.0660081Z auto tmp17 = tmp14 - tmp16; 2022-11-23T01:37:55.0660182Z tmp7.store(out_ptr6 + (8*i0) + (8*i1)); 2022-11-23T01:37:55.0660281Z tmp12.store(out_ptr7 + (8*i0) + (8*i1)); 2022-11-23T01:37:55.0660378Z tmp17.store(out_ptr8 + (8*i0) + (8*i1)); 2022-11-23T01:37:55.0660441Z } 2022-11-23T01:37:55.0660533Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.0660602Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:37:55.0660663Z { 2022-11-23T01:37:55.0660755Z auto tmp0 = in_ptr0[i1 + (8*i0)]; 2022-11-23T01:37:55.0660845Z auto tmp1 = in_ptr1[i1 + (8*i0)]; 2022-11-23T01:37:55.0660928Z auto tmp3 = out_ptr0[i0]; 2022-11-23T01:37:55.0661013Z auto tmp5 = out_ptr1[i0]; 2022-11-23T01:37:55.0661093Z auto tmp8 = out_ptr3[i1]; 2022-11-23T01:37:55.0661165Z auto tmp10 = out_ptr4[i1]; 2022-11-23T01:37:55.0661249Z auto tmp13 = out_ptr2[i0]; 2022-11-23T01:37:55.0661331Z auto tmp15 = out_ptr5[i0]; 2022-11-23T01:37:55.0661413Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.0661536Z auto tmp4 = tmp2 - tmp3; 2022-11-23T01:37:55.0661627Z auto tmp6 = std::log(tmp5); 2022-11-23T01:37:55.0661752Z auto tmp7 = tmp4 - tmp6; 2022-11-23T01:37:55.0661863Z auto tmp9 = tmp0 - tmp8; 2022-11-23T01:37:55.0661957Z auto tmp11 = std::log(tmp10); 2022-11-23T01:37:55.0662085Z auto tmp12 = tmp9 - tmp11; 2022-11-23T01:37:55.0662212Z auto tmp14 = tmp1 - tmp13; 2022-11-23T01:37:55.0662303Z auto tmp16 = std::log(tmp15); 2022-11-23T01:37:55.0662431Z auto tmp17 = tmp14 - tmp16; 2022-11-23T01:37:55.0662578Z out_ptr6[i1 + (8*i0)] = tmp7; 2022-11-23T01:37:55.0662656Z out_ptr7[i1 + (8*i0)] = tmp12; 2022-11-23T01:37:55.0662740Z out_ptr8[i1 + (8*i0)] = tmp17; 2022-11-23T01:37:55.0662802Z } 2022-11-23T01:37:55.0662864Z } 2022-11-23T01:37:55.0662923Z } 2022-11-23T01:37:55.0663004Z ''') 2022-11-23T01:37:55.0663011Z 2022-11-23T01:37:55.0663015Z 2022-11-23T01:37:55.0663104Z async_compile.wait(globals()) 2022-11-23T01:37:55.0663162Z del async_compile 2022-11-23T01:37:55.0663167Z 2022-11-23T01:37:55.0663240Z def call(args): 2022-11-23T01:37:55.0663313Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.0663436Z args.clear() 2022-11-23T01:37:55.0663639Z buf0 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0663836Z buf1 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0664027Z buf4 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0664220Z buf2 = empty_strided((1, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0664399Z buf3 = empty_strided((1, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0664585Z buf5 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0664773Z buf6 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0664961Z buf7 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0665147Z buf8 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0665498Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr())) 2022-11-23T01:37:55.0665569Z del arg0_1 2022-11-23T01:37:55.0665634Z del arg1_1 2022-11-23T01:37:55.0665705Z return (buf6, buf7, buf8, ) 2022-11-23T01:37:55.0665710Z 2022-11-23T01:37:55.0665726Z 2022-11-23T01:37:55.0665790Z if __name__ == "__main__": 2022-11-23T01:37:55.0665903Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0666028Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0666225Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0666421Z arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0666534Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.0666918Z [2022-11-23 01:33:13,328] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mp/cmpdfqwnsi62rujrewbfxqwwi7hoapj3rezs2t7ycyfppkkzocep.py 2022-11-23T01:37:55.0667187Z [2022-11-23 01:33:13,329] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 290 2022-11-23T01:37:55.0667193Z 2022-11-23T01:37:55.0667248Z ok (1.547s) 2022-11-23T01:37:55.0667561Z test_logsumexp_cpu (__main__.CpuTests) ... [2022-11-23 01:33:13,337] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0667830Z [2022-11-23 01:33:13,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0668053Z [2022-11-23 01:33:13,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0668405Z [2022-11-23 01:33:13,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.0668698Z [2022-11-23 01:33:13,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.0669030Z [2022-11-23 01:33:13,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0669398Z [2022-11-23 01:33:13,337] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.0669499Z 2701 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.0669588Z 2 LOAD_METHOD 1 (logsumexp) 2022-11-23T01:37:55.0669681Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:55.0669823Z 6 LOAD_CONST 1 (-1) 2022-11-23T01:37:55.0669913Z 8 CALL_METHOD 2 2022-11-23T01:37:55.0670006Z 10 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.0670103Z 12 LOAD_METHOD 1 (logsumexp) 2022-11-23T01:37:55.0670225Z 14 LOAD_FAST 0 (x) 2022-11-23T01:37:55.0670300Z 16 LOAD_CONST 2 (0) 2022-11-23T01:37:55.0670388Z 18 CALL_METHOD 2 2022-11-23T01:37:55.0670475Z 20 LOAD_CONST 3 (2) 2022-11-23T01:37:55.0670556Z 22 BINARY_SUBTRACT 2022-11-23T01:37:55.0670645Z 24 BUILD_TUPLE 2 2022-11-23T01:37:55.0670719Z 26 RETURN_VALUE 2022-11-23T01:37:55.0670777Z 2022-11-23T01:37:55.0670782Z 2022-11-23T01:37:55.0671056Z [2022-11-23 01:33:13,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2701 2022-11-23T01:37:55.0671267Z [2022-11-23 01:33:13,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.0671644Z [2022-11-23 01:33:13,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logsumexp [TorchVariable()] 2022-11-23T01:37:55.0671980Z [2022-11-23 01:33:13,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:37:55.0672342Z [2022-11-23 01:33:13,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.0672741Z [2022-11-23 01:33:13,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.0672993Z [2022-11-23 01:33:13,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:37:55.0673401Z [2022-11-23 01:33:13,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logsumexp [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.0673764Z [2022-11-23 01:33:13,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.0674155Z [2022-11-23 01:33:13,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.0674592Z [2022-11-23 01:33:13,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.0674861Z [2022-11-23 01:33:13,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.0675181Z [2022-11-23 01:33:13,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.0675444Z [2022-11-23 01:33:13,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.0675695Z [2022-11-23 01:33:13,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.0676058Z [2022-11-23 01:33:13,350] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.0676309Z [2022-11-23 01:33:13,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.0676547Z [2022-11-23 01:33:13,350] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0676804Z [2022-11-23 01:33:13,351] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0677058Z [2022-11-23 01:33:13,361] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0677288Z [2022-11-23 01:33:13,361] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0677423Z __compiled_fn_298 .2590 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0677502Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0677757Z call_function, logsumexp, , (ex_0_, -1), {} 2022-11-23T01:37:55.0678009Z call_function, logsumexp_1, , (ex_0_, 0), {} 2022-11-23T01:37:55.0678195Z call_function, sub, , (logsumexp_1, 2), {} 2022-11-23T01:37:55.0678306Z output, output, output, ((logsumexp, sub),), {} 2022-11-23T01:37:55.0678312Z 2022-11-23T01:37:55.0678592Z [2022-11-23 01:33:13,361] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0678686Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0678780Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0678859Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0678948Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0679028Z 8 RETURN_VALUE 2022-11-23T01:37:55.0679033Z 2022-11-23T01:37:55.0679096Z 2022-11-23T01:37:55.0679375Z [2022-11-23 01:33:13,361] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0679485Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_298) 2022-11-23T01:37:55.0679576Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0679667Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0679731Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0679820Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0679925Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.0680028Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.0680118Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0680195Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.0680297Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.0680372Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.0680449Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.0680539Z 24 BUILD_TUPLE 2 2022-11-23T01:37:55.0680615Z 26 RETURN_VALUE 2022-11-23T01:37:55.0680621Z 2022-11-23T01:37:55.0680683Z 2022-11-23T01:37:55.0680871Z [2022-11-23 01:33:13,362] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0680944Z - 2022-11-23T01:37:55.0681053Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0681119Z { 2022-11-23T01:37:55.0681263Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0681454Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0681581Z 'obj_weakref': None 2022-11-23T01:37:55.0681810Z 'guarded_class': 2022-11-23T01:37:55.0681876Z } 2022-11-23T01:37:55.0681928Z 2022-11-23T01:37:55.0682001Z - 2022-11-23T01:37:55.0682128Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0682193Z { 2022-11-23T01:37:55.0682374Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0682489Z 'code': None, 2022-11-23T01:37:55.0682706Z 'obj_weakref': 2022-11-23T01:37:55.0682965Z 'guarded_class': 2022-11-23T01:37:55.0683016Z } 2022-11-23T01:37:55.0683080Z 2022-11-23T01:37:55.0683152Z - 2022-11-23T01:37:55.0683286Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.0683351Z { 2022-11-23T01:37:55.0683524Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0683685Z 'code': ['___check_obj_id(model, 140538739125424)'], 2022-11-23T01:37:55.0683809Z 'obj_weakref': None 2022-11-23T01:37:55.0684046Z 'guarded_class': 2022-11-23T01:37:55.0684116Z } 2022-11-23T01:37:55.0684183Z 2022-11-23T01:37:55.0684256Z - 2022-11-23T01:37:55.0684381Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0684432Z { 2022-11-23T01:37:55.0684573Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0684793Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0684915Z 'obj_weakref': None 2022-11-23T01:37:55.0685137Z 'guarded_class': 2022-11-23T01:37:55.0685202Z } 2022-11-23T01:37:55.0685263Z 2022-11-23T01:37:55.0685321Z - 2022-11-23T01:37:55.0685454Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.0685520Z { 2022-11-23T01:37:55.0685643Z 'guard_types': None, 2022-11-23T01:37:55.0685755Z 'code': None, 2022-11-23T01:37:55.0685874Z 'obj_weakref': None 2022-11-23T01:37:55.0685997Z 'guarded_class': None 2022-11-23T01:37:55.0686048Z } 2022-11-23T01:37:55.0686110Z 2022-11-23T01:37:55.0686374Z [2022-11-23 01:33:13,388] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 291 2022-11-23T01:37:55.0686736Z [2022-11-23 01:33:14,852] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kg/ckgbb732o767777fcli2ckfoegv5sc4okn2hcrd6mmxjvo2d6tc5.py 2022-11-23T01:37:55.0687004Z [2022-11-23 01:33:14,852] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 291 2022-11-23T01:37:55.0687012Z 2022-11-23T01:37:55.0687107Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0687173Z import torch 2022-11-23T01:37:55.0687239Z import random 2022-11-23T01:37:55.0687341Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0687460Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0687465Z 2022-11-23T01:37:55.0687542Z aten = torch.ops.aten 2022-11-23T01:37:55.0687678Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0687769Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0687775Z 2022-11-23T01:37:55.0687779Z 2022-11-23T01:37:55.0687911Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.0688118Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.0688234Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:37:55.0688323Z float* __restrict__ in_out_ptr1, 2022-11-23T01:37:55.0688424Z const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.0688526Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.0688621Z float* __restrict__ out_ptr3) 2022-11-23T01:37:55.0688681Z { 2022-11-23T01:37:55.0688765Z auto out_ptr1 = in_out_ptr0; 2022-11-23T01:37:55.0688848Z auto out_ptr2 = in_out_ptr1; 2022-11-23T01:37:55.0688947Z #pragma GCC ivdep 2022-11-23T01:37:55.0689028Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.0689088Z { 2022-11-23T01:37:55.0689149Z { 2022-11-23T01:37:55.0689530Z #pragma omp declare reduction(max:at::vec::Vectorized:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits::infinity()}}) 2022-11-23T01:37:55.0689746Z float tmp1 = -std::numeric_limits::infinity(); 2022-11-23T01:37:55.0689868Z auto tmp1_vec = at::vec::Vectorized(tmp1); 2022-11-23T01:37:55.0689951Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:37:55.0690035Z { 2022-11-23T01:37:55.0690178Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i0) + (8*i1)); 2022-11-23T01:37:55.0690293Z tmp1_vec = at::vec::maximum(tmp1_vec, tmp0); 2022-11-23T01:37:55.0690357Z } 2022-11-23T01:37:55.0690568Z tmp1 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return at::vec::maximum(x, y);}, tmp1_vec); 2022-11-23T01:37:55.0690687Z #pragma omp simd simdlen(4) reduction(max:tmp1) 2022-11-23T01:37:55.0690769Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:37:55.0690832Z { 2022-11-23T01:37:55.0690915Z auto tmp0 = in_ptr0[i1 + (8*i0)]; 2022-11-23T01:37:55.0691012Z tmp1 = std::max(tmp1, tmp0); 2022-11-23T01:37:55.0691074Z } 2022-11-23T01:37:55.0691154Z out_ptr0[i0] = tmp1; 2022-11-23T01:37:55.0691216Z } 2022-11-23T01:37:55.0691276Z } 2022-11-23T01:37:55.0691354Z #pragma GCC ivdep 2022-11-23T01:37:55.0691421Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.0691483Z { 2022-11-23T01:37:55.0691545Z { 2022-11-23T01:37:55.0691731Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:37:55.0691807Z float tmp4 = 0; 2022-11-23T01:37:55.0691931Z auto tmp4_vec = at::vec::Vectorized(tmp4); 2022-11-23T01:37:55.0692012Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:37:55.0692061Z { 2022-11-23T01:37:55.0692196Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i0) + (8*i1)); 2022-11-23T01:37:55.0692321Z auto tmp1 = at::vec::Vectorized(out_ptr0[i0]); 2022-11-23T01:37:55.0692456Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:37:55.0692541Z auto tmp3 = tmp2.exp(); 2022-11-23T01:37:55.0692621Z tmp4_vec += tmp3; 2022-11-23T01:37:55.0692687Z } 2022-11-23T01:37:55.0692881Z tmp4 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp4_vec); 2022-11-23T01:37:55.0692984Z #pragma omp simd simdlen(4) reduction(+:tmp4) 2022-11-23T01:37:55.0693065Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:37:55.0693129Z { 2022-11-23T01:37:55.0693226Z auto tmp0 = in_ptr0[i1 + (8*i0)]; 2022-11-23T01:37:55.0693314Z auto tmp1 = out_ptr0[i0]; 2022-11-23T01:37:55.0693447Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:37:55.0693544Z auto tmp3 = std::exp(tmp2); 2022-11-23T01:37:55.0693607Z tmp4 += tmp3; 2022-11-23T01:37:55.0693667Z } 2022-11-23T01:37:55.0693745Z out_ptr1[i0] = tmp4; 2022-11-23T01:37:55.0693806Z } 2022-11-23T01:37:55.0693866Z } 2022-11-23T01:37:55.0693940Z #pragma GCC ivdep 2022-11-23T01:37:55.0694019Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.0694071Z { 2022-11-23T01:37:55.0694131Z { 2022-11-23T01:37:55.0694195Z { 2022-11-23T01:37:55.0694406Z float tmp1 = -std::numeric_limits::infinity(); 2022-11-23T01:37:55.0694492Z for(long i1=0; i1<8; i1+=1) 2022-11-23T01:37:55.0694556Z { 2022-11-23T01:37:55.0694620Z { 2022-11-23T01:37:55.0694740Z auto tmp0 = in_ptr0[i0 + (8*i1)]; 2022-11-23T01:37:55.0694847Z tmp1 = std::max(tmp1, tmp0); 2022-11-23T01:37:55.0694912Z } 2022-11-23T01:37:55.0694975Z } 2022-11-23T01:37:55.0695057Z out_ptr2[i0] = tmp1; 2022-11-23T01:37:55.0695120Z } 2022-11-23T01:37:55.0695181Z } 2022-11-23T01:37:55.0695228Z } 2022-11-23T01:37:55.0695301Z #pragma GCC ivdep 2022-11-23T01:37:55.0695378Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.0695436Z { 2022-11-23T01:37:55.0695530Z { 2022-11-23T01:37:55.0695594Z { 2022-11-23T01:37:55.0695659Z float tmp4 = 0; 2022-11-23T01:37:55.0695744Z for(long i1=0; i1<8; i1+=1) 2022-11-23T01:37:55.0695806Z { 2022-11-23T01:37:55.0695870Z { 2022-11-23T01:37:55.0695968Z auto tmp0 = in_ptr0[i0 + (8*i1)]; 2022-11-23T01:37:55.0696062Z auto tmp1 = out_ptr2[i0]; 2022-11-23T01:37:55.0696207Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:37:55.0696296Z auto tmp3 = std::exp(tmp2); 2022-11-23T01:37:55.0696373Z tmp4 += tmp3; 2022-11-23T01:37:55.0696437Z } 2022-11-23T01:37:55.0696502Z } 2022-11-23T01:37:55.0696581Z out_ptr3[i0] = tmp4; 2022-11-23T01:37:55.0696643Z } 2022-11-23T01:37:55.0696704Z } 2022-11-23T01:37:55.0696752Z } 2022-11-23T01:37:55.0696824Z #pragma GCC ivdep 2022-11-23T01:37:55.0696903Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.0696962Z { 2022-11-23T01:37:55.0697021Z { 2022-11-23T01:37:55.0697083Z { 2022-11-23T01:37:55.0697158Z auto tmp0 = out_ptr1[i0]; 2022-11-23T01:37:55.0697243Z auto tmp2 = out_ptr0[i0]; 2022-11-23T01:37:55.0697337Z auto tmp1 = std::log(tmp0); 2022-11-23T01:37:55.0697432Z auto tmp3 = std::abs(tmp2); 2022-11-23T01:37:55.0697555Z auto tmp4 = std::numeric_limits::infinity(); 2022-11-23T01:37:55.0697641Z auto tmp5 = tmp3 == tmp4; 2022-11-23T01:37:55.0697742Z auto tmp6 = static_cast(0.0); 2022-11-23T01:37:55.0697837Z auto tmp7 = tmp5 ? tmp6 : tmp2; 2022-11-23T01:37:55.0697910Z auto tmp8 = tmp1 + tmp7; 2022-11-23T01:37:55.0697993Z in_out_ptr0[i0] = tmp8; 2022-11-23T01:37:55.0698054Z } 2022-11-23T01:37:55.0698115Z } 2022-11-23T01:37:55.0698176Z } 2022-11-23T01:37:55.0698251Z #pragma GCC ivdep 2022-11-23T01:37:55.0698316Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.0698376Z { 2022-11-23T01:37:55.0698437Z { 2022-11-23T01:37:55.0698498Z { 2022-11-23T01:37:55.0698583Z auto tmp0 = out_ptr3[i0]; 2022-11-23T01:37:55.0698669Z auto tmp2 = out_ptr2[i0]; 2022-11-23T01:37:55.0698929Z auto tmp1 = std::log(tmp0); 2022-11-23T01:37:55.0699065Z auto tmp3 = std::abs(tmp2); 2022-11-23T01:37:55.0699196Z auto tmp4 = std::numeric_limits::infinity(); 2022-11-23T01:37:55.0699288Z auto tmp5 = tmp3 == tmp4; 2022-11-23T01:37:55.0699392Z auto tmp6 = static_cast(0.0); 2022-11-23T01:37:55.0699488Z auto tmp7 = tmp5 ? tmp6 : tmp2; 2022-11-23T01:37:55.0699573Z auto tmp8 = tmp1 + tmp7; 2022-11-23T01:37:55.0699674Z auto tmp9 = static_cast(2); 2022-11-23T01:37:55.0699814Z auto tmp10 = tmp8 - tmp9; 2022-11-23T01:37:55.0699888Z in_out_ptr1[i0] = tmp10; 2022-11-23T01:37:55.0699951Z } 2022-11-23T01:37:55.0700013Z } 2022-11-23T01:37:55.0700075Z } 2022-11-23T01:37:55.0700137Z } 2022-11-23T01:37:55.0700218Z ''') 2022-11-23T01:37:55.0700224Z 2022-11-23T01:37:55.0700228Z 2022-11-23T01:37:55.0700376Z async_compile.wait(globals()) 2022-11-23T01:37:55.0700439Z del async_compile 2022-11-23T01:37:55.0700444Z 2022-11-23T01:37:55.0700516Z def call(args): 2022-11-23T01:37:55.0700585Z arg0_1, = args 2022-11-23T01:37:55.0700657Z args.clear() 2022-11-23T01:37:55.0700860Z buf0 = empty_strided((8, 1), (1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0701055Z buf1 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0701251Z buf2 = empty_strided((1, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0701430Z buf3 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0701559Z buf4 = buf1; del buf1 # reuse 2022-11-23T01:37:55.0701668Z buf5 = as_strided(buf2, (8, ), (1, )); del buf2 # reuse 2022-11-23T01:37:55.0701879Z kernel_cpp_0(c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf3.data_ptr())) 2022-11-23T01:37:55.0701949Z del arg0_1 2022-11-23T01:37:55.0702026Z return (buf4, buf5, ) 2022-11-23T01:37:55.0702032Z 2022-11-23T01:37:55.0702036Z 2022-11-23T01:37:55.0702111Z if __name__ == "__main__": 2022-11-23T01:37:55.0702223Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0702334Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0702534Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0702640Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.0702646Z 2022-11-23T01:37:55.0702715Z ok (1.523s) 2022-11-23T01:37:55.0703033Z test_long_tensor_cpu (__main__.CpuTests) ... [2022-11-23 01:33:14,860] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0703307Z [2022-11-23 01:33:14,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0703534Z [2022-11-23 01:33:14,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0703792Z [2022-11-23 01:33:14,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.0704083Z [2022-11-23 01:33:14,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.0704396Z [2022-11-23 01:33:14,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0704729Z [2022-11-23 01:33:14,860] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.0704828Z 3109 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.0704929Z 2 LOAD_METHOD 1 (LongTensor) 2022-11-23T01:37:55.0705022Z 4 LOAD_CONST 1 (294) 2022-11-23T01:37:55.0705109Z 6 BUILD_LIST 1 2022-11-23T01:37:55.0705199Z 8 CALL_METHOD 1 2022-11-23T01:37:55.0705289Z 10 LOAD_METHOD 2 (to) 2022-11-23T01:37:55.0705368Z 12 LOAD_FAST 0 (a) 2022-11-23T01:37:55.0705461Z 14 LOAD_ATTR 3 (device) 2022-11-23T01:37:55.0705547Z 16 CALL_METHOD 1 2022-11-23T01:37:55.0705634Z 18 LOAD_FAST 0 (a) 2022-11-23T01:37:55.0705714Z 20 BINARY_SUBTRACT 2022-11-23T01:37:55.0705719Z 2022-11-23T01:37:55.0705812Z 3110 22 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.0705910Z 24 LOAD_METHOD 4 (as_tensor) 2022-11-23T01:37:55.0705987Z 26 LOAD_CONST 2 (295) 2022-11-23T01:37:55.0706071Z 28 BUILD_LIST 1 2022-11-23T01:37:55.0706154Z 30 CALL_METHOD 1 2022-11-23T01:37:55.0706243Z 32 LOAD_METHOD 2 (to) 2022-11-23T01:37:55.0706361Z 34 LOAD_FAST 0 (a) 2022-11-23T01:37:55.0706454Z 36 LOAD_ATTR 3 (device) 2022-11-23T01:37:55.0706539Z 38 CALL_METHOD 1 2022-11-23T01:37:55.0706615Z 40 LOAD_FAST 0 (a) 2022-11-23T01:37:55.0706688Z 42 BINARY_ADD 2022-11-23T01:37:55.0706775Z 44 BUILD_TUPLE 2 2022-11-23T01:37:55.0706850Z 46 RETURN_VALUE 2022-11-23T01:37:55.0706911Z 2022-11-23T01:37:55.0706916Z 2022-11-23T01:37:55.0707191Z [2022-11-23 01:33:14,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3109 2022-11-23T01:37:55.0707497Z [2022-11-23 01:33:14,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.0707882Z [2022-11-23 01:33:14,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR LongTensor [TorchVariable()] 2022-11-23T01:37:55.0708255Z [2022-11-23 01:33:14,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 294 [TorchVariable()] 2022-11-23T01:37:55.0708567Z [2022-11-23 01:33:14,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.0708877Z [2022-11-23 01:33:14,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), ListVariable()] 2022-11-23T01:37:55.0709115Z [2022-11-23 01:33:14,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable()] 2022-11-23T01:37:55.0709396Z [2022-11-23 01:33:14,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [GetAttrVariable(TensorVariable(), to)] 2022-11-23T01:37:55.0709709Z [2022-11-23 01:33:14,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [GetAttrVariable(TensorVariable(), to), TensorVariable()] 2022-11-23T01:37:55.0710024Z [2022-11-23 01:33:14,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), to), TorchVariable(cpu)] 2022-11-23T01:37:55.0710266Z [2022-11-23 01:33:14,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()] 2022-11-23T01:37:55.0710551Z [2022-11-23 01:33:14,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.0710823Z [2022-11-23 01:33:14,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3110 2022-11-23T01:37:55.0711078Z [2022-11-23 01:33:14,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:37:55.0711471Z [2022-11-23 01:33:14,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR as_tensor [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.0711836Z [2022-11-23 01:33:14,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 295 [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.0712310Z [2022-11-23 01:33:14,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TorchVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.0712775Z [2022-11-23 01:33:14,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(), ListVariable()] 2022-11-23T01:37:55.0713051Z [2022-11-23 01:33:14,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.0713354Z [2022-11-23 01:33:14,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), GetAttrVariable(TensorVariable(), to)] 2022-11-23T01:37:55.0713731Z [2022-11-23 01:33:14,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), GetAttrVariable(TensorVariable(), to), TensorVariable()] 2022-11-23T01:37:55.0714069Z [2022-11-23 01:33:14,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), to), TorchVariable(cpu)] 2022-11-23T01:37:55.0714335Z [2022-11-23 01:33:14,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.0714635Z [2022-11-23 01:33:14,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.0714941Z [2022-11-23 01:33:14,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.0715188Z [2022-11-23 01:33:14,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.0715510Z [2022-11-23 01:33:14,869] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.0715757Z [2022-11-23 01:33:14,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.0715995Z [2022-11-23 01:33:14,869] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0716252Z [2022-11-23 01:33:14,870] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0716503Z [2022-11-23 01:33:14,875] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0716699Z [2022-11-23 01:33:14,875] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0716836Z __compiled_fn_299 .2596 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0716930Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0717110Z call_function, long_tensor, , ([294],), {} 2022-11-23T01:37:55.0717288Z call_method, to, to, (long_tensor, device(type='cpu')), {} 2022-11-23T01:37:55.0717467Z call_function, sub, , (to, ex_0_), {} 2022-11-23T01:37:55.0717709Z call_function, as_tensor, , ([295],), {} 2022-11-23T01:37:55.0717883Z call_method, to_1, to, (as_tensor, device(type='cpu')), {} 2022-11-23T01:37:55.0718064Z call_function, add, , (to_1, ex_0_), {} 2022-11-23T01:37:55.0718166Z output, output, output, ((sub, add),), {} 2022-11-23T01:37:55.0718172Z 2022-11-23T01:37:55.0718454Z [2022-11-23 01:33:14,876] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0718552Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0718630Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0718725Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0718818Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0718898Z 8 RETURN_VALUE 2022-11-23T01:37:55.0718903Z 2022-11-23T01:37:55.0718965Z 2022-11-23T01:37:55.0719240Z [2022-11-23 01:33:14,876] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0719351Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_299) 2022-11-23T01:37:55.0719429Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0719519Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0719598Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0719686Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0719795Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.0719895Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.0719985Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0720050Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.0720185Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.0720276Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.0720354Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.0720443Z 24 BUILD_TUPLE 2 2022-11-23T01:37:55.0720519Z 26 RETURN_VALUE 2022-11-23T01:37:55.0720525Z 2022-11-23T01:37:55.0720586Z 2022-11-23T01:37:55.0720773Z [2022-11-23 01:33:14,877] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0720833Z - 2022-11-23T01:37:55.0720957Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0721023Z { 2022-11-23T01:37:55.0721201Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0721395Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0721519Z 'obj_weakref': None 2022-11-23T01:37:55.0721747Z 'guarded_class': 2022-11-23T01:37:55.0721799Z } 2022-11-23T01:37:55.0721865Z 2022-11-23T01:37:55.0721938Z - 2022-11-23T01:37:55.0722067Z local 'ex[0]' TYPE_MATCH 2022-11-23T01:37:55.0722128Z { 2022-11-23T01:37:55.0722274Z 'guard_types': ['TYPE_MATCH'], 2022-11-23T01:37:55.0722434Z 'code': ['___check_type_id(ex[0], 93851459086816)'], 2022-11-23T01:37:55.0722651Z 'obj_weakref': 2022-11-23T01:37:55.0722945Z 'guarded_class': 2022-11-23T01:37:55.0723047Z } 2022-11-23T01:37:55.0723141Z 2022-11-23T01:37:55.0723257Z - 2022-11-23T01:37:55.0723395Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0723459Z { 2022-11-23T01:37:55.0723607Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0723788Z 'code': None, 2022-11-23T01:37:55.0724017Z 'obj_weakref': 2022-11-23T01:37:55.0724274Z 'guarded_class': 2022-11-23T01:37:55.0724337Z } 2022-11-23T01:37:55.0724398Z 2022-11-23T01:37:55.0724468Z - 2022-11-23T01:37:55.0724587Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.0724649Z { 2022-11-23T01:37:55.0724785Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0724957Z 'code': ['___check_obj_id(model, 140538745417456)'], 2022-11-23T01:37:55.0725081Z 'obj_weakref': None 2022-11-23T01:37:55.0725314Z 'guarded_class': 2022-11-23T01:37:55.0725377Z } 2022-11-23T01:37:55.0725426Z 2022-11-23T01:37:55.0725495Z - 2022-11-23T01:37:55.0725618Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0725681Z { 2022-11-23T01:37:55.0725818Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0726039Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0726160Z 'obj_weakref': None 2022-11-23T01:37:55.0726369Z 'guarded_class': 2022-11-23T01:37:55.0726433Z } 2022-11-23T01:37:55.0726495Z 2022-11-23T01:37:55.0726566Z - 2022-11-23T01:37:55.0726700Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.0726767Z { 2022-11-23T01:37:55.0726886Z 'guard_types': None, 2022-11-23T01:37:55.0726982Z 'code': None, 2022-11-23T01:37:55.0727104Z 'obj_weakref': None 2022-11-23T01:37:55.0727225Z 'guarded_class': None 2022-11-23T01:37:55.0727287Z } 2022-11-23T01:37:55.0727348Z 2022-11-23T01:37:55.0727658Z [2022-11-23 01:33:14,885] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 292 2022-11-23T01:37:55.0728039Z [2022-11-23 01:33:16,270] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bo/cboxz5pxow6jaf7klans6tzybrojbsmy27onobmwa5l6xfco7k7b.py 2022-11-23T01:37:55.0728293Z [2022-11-23 01:33:16,271] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 292 2022-11-23T01:37:55.0728314Z 2022-11-23T01:37:55.0728395Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0728463Z import torch 2022-11-23T01:37:55.0728531Z import random 2022-11-23T01:37:55.0728690Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0728810Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0728815Z 2022-11-23T01:37:55.0728892Z aten = torch.ops.aten 2022-11-23T01:37:55.0729025Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0729106Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0729113Z 2022-11-23T01:37:55.0729117Z 2022-11-23T01:37:55.0729255Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.0729460Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.0729578Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:37:55.0729675Z long* __restrict__ out_ptr0, 2022-11-23T01:37:55.0729766Z long* __restrict__ out_ptr1) 2022-11-23T01:37:55.0729825Z { 2022-11-23T01:37:55.0729889Z #pragma GCC ivdep 2022-11-23T01:37:55.0729971Z for(long i0=0; i0<64; i0+=1) 2022-11-23T01:37:55.0730034Z { 2022-11-23T01:37:55.0730097Z { 2022-11-23T01:37:55.0730159Z { 2022-11-23T01:37:55.0730246Z auto tmp1 = in_ptr0[i0]; 2022-11-23T01:37:55.0730345Z auto tmp0 = static_cast(294); 2022-11-23T01:37:55.0730464Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:37:55.0730567Z auto tmp3 = static_cast(295); 2022-11-23T01:37:55.0730653Z auto tmp4 = tmp3 + tmp1; 2022-11-23T01:37:55.0730734Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.0730814Z out_ptr1[i0] = tmp4; 2022-11-23T01:37:55.0730876Z } 2022-11-23T01:37:55.0730936Z } 2022-11-23T01:37:55.0730983Z } 2022-11-23T01:37:55.0731041Z } 2022-11-23T01:37:55.0731120Z ''') 2022-11-23T01:37:55.0731125Z 2022-11-23T01:37:55.0731130Z 2022-11-23T01:37:55.0731217Z async_compile.wait(globals()) 2022-11-23T01:37:55.0731286Z del async_compile 2022-11-23T01:37:55.0731291Z 2022-11-23T01:37:55.0731362Z def call(args): 2022-11-23T01:37:55.0731429Z arg0_1, = args 2022-11-23T01:37:55.0731486Z args.clear() 2022-11-23T01:37:55.0731683Z buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.0731873Z buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.0732040Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:55.0732110Z del arg0_1 2022-11-23T01:37:55.0732188Z return (buf0, buf1, ) 2022-11-23T01:37:55.0732193Z 2022-11-23T01:37:55.0732197Z 2022-11-23T01:37:55.0732271Z if __name__ == "__main__": 2022-11-23T01:37:55.0732383Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0732491Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0732686Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.0732792Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.0732800Z 2022-11-23T01:37:55.0732866Z ok (1.418s) 2022-11-23T01:37:55.0733190Z test_lowmem_dropout1_cpu (__main__.CpuTests) ... [2022-11-23 01:33:16,280] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0733466Z [2022-11-23 01:33:16,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4158 2022-11-23T01:37:55.0733717Z [2022-11-23 01:33:16,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [] 2022-11-23T01:37:55.0734135Z [2022-11-23 01:33:16,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable()] 2022-11-23T01:37:55.0734431Z [2022-11-23 01:33:16,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:37:55.0734752Z [2022-11-23 01:33:16,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF weight [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.0735150Z [2022-11-23 01:33:16,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.0735479Z [2022-11-23 01:33:16,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.33 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.0735847Z [2022-11-23 01:33:16,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST train [TorchVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:37:55.0736248Z [2022-11-23 01:33:16,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(bool)] 2022-11-23T01:37:55.0736497Z [2022-11-23 01:33:16,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.0736740Z [2022-11-23 01:33:16,283] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0736982Z [2022-11-23 01:33:16,284] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:37:55.0737226Z [2022-11-23 01:33:16,287] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:37:55.0737422Z [2022-11-23 01:33:16,287] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0737557Z __compiled_fn_300 .2602 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0737630Z placeholder, x, x, (), {} 2022-11-23T01:37:55.0737725Z placeholder, weight, weight, (), {} 2022-11-23T01:37:55.0737902Z call_function, mul, , (x, weight), {} 2022-11-23T01:37:55.0738062Z call_function, lowmem_dropout, , (mul, 0.33, False), {} 2022-11-23T01:37:55.0738175Z output, output, output, ((lowmem_dropout,),), {} 2022-11-23T01:37:55.0738180Z 2022-11-23T01:37:55.0738460Z [2022-11-23 01:33:16,288] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 4156 2022-11-23T01:37:55.0738554Z 4158 0 LOAD_GLOBAL 0 (F) 2022-11-23T01:37:55.0738651Z 2 LOAD_METHOD 1 (dropout) 2022-11-23T01:37:55.0738843Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:55.0738995Z 6 LOAD_DEREF 0 (weight) 2022-11-23T01:37:55.0739108Z 8 BINARY_MULTIPLY 2022-11-23T01:37:55.0739204Z 10 LOAD_CONST 1 (0.33) 2022-11-23T01:37:55.0739295Z 12 LOAD_FAST 1 (train) 2022-11-23T01:37:55.0739383Z 14 CALL_METHOD 3 2022-11-23T01:37:55.0739458Z 16 RETURN_VALUE 2022-11-23T01:37:55.0739463Z 2022-11-23T01:37:55.0739511Z 2022-11-23T01:37:55.0739800Z [2022-11-23 01:33:16,288] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 4156 2022-11-23T01:37:55.0739911Z 4156 0 LOAD_GLOBAL 2 (__compiled_fn_300) 2022-11-23T01:37:55.0740000Z 2 LOAD_FAST 0 (x) 2022-11-23T01:37:55.0740094Z 4 LOAD_DEREF 0 (weight) 2022-11-23T01:37:55.0740243Z 6 CALL_FUNCTION 2 2022-11-23T01:37:55.0740340Z 8 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.0740403Z 10 RETURN_VALUE 2022-11-23T01:37:55.0740420Z 2022-11-23T01:37:55.0740467Z 2022-11-23T01:37:55.0740656Z [2022-11-23 01:33:16,289] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0740727Z - 2022-11-23T01:37:55.0740848Z local 'x' TENSOR_MATCH 2022-11-23T01:37:55.0740914Z { 2022-11-23T01:37:55.0741058Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0741155Z 'code': None, 2022-11-23T01:37:55.0741412Z 'obj_weakref': 2022-11-23T01:37:55.0741672Z 'guarded_class': 2022-11-23T01:37:55.0741737Z } 2022-11-23T01:37:55.0741799Z 2022-11-23T01:37:55.0741868Z - 2022-11-23T01:37:55.0742006Z local 'train' CONSTANT_MATCH 2022-11-23T01:37:55.0742069Z { 2022-11-23T01:37:55.0742193Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0742363Z 'code': ['___check_obj_id(train, 93851402592992)'], 2022-11-23T01:37:55.0742486Z 'obj_weakref': None 2022-11-23T01:37:55.0742710Z 'guarded_class': 2022-11-23T01:37:55.0742773Z } 2022-11-23T01:37:55.0742834Z 2022-11-23T01:37:55.0742904Z - 2022-11-23T01:37:55.0743020Z local 'weight' TENSOR_MATCH 2022-11-23T01:37:55.0743084Z { 2022-11-23T01:37:55.0743228Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0743337Z 'code': None, 2022-11-23T01:37:55.0743550Z 'obj_weakref': 2022-11-23T01:37:55.0743810Z 'guarded_class': 2022-11-23T01:37:55.0743873Z } 2022-11-23T01:37:55.0743923Z 2022-11-23T01:37:55.0743992Z - 2022-11-23T01:37:55.0744117Z global 'F' FUNCTION_MATCH 2022-11-23T01:37:55.0744182Z { 2022-11-23T01:37:55.0744300Z 'guard_types': None, 2022-11-23T01:37:55.0744407Z 'code': None, 2022-11-23T01:37:55.0744515Z 'obj_weakref': None 2022-11-23T01:37:55.0744636Z 'guarded_class': None 2022-11-23T01:37:55.0744700Z } 2022-11-23T01:37:55.0744761Z 2022-11-23T01:37:55.0745024Z [2022-11-23 01:33:16,303] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 293 2022-11-23T01:37:55.0745394Z [2022-11-23 01:33:17,692] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mx/cmxbc2bjbl72xr4yzlwxulezplpkqtf34t5y3c5z3h5kdqyfp4ch.py 2022-11-23T01:37:55.0745663Z [2022-11-23 01:33:17,693] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 293 2022-11-23T01:37:55.0745919Z [2022-11-23 01:33:17,695] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling BACKWARDS graph 293 2022-11-23T01:37:55.0746287Z [2022-11-23 01:33:17,705] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/e7/ce7xdfk5zkxm24ykzktiawjpimq3pp6emqvza5mq42myjzy2keua.py 2022-11-23T01:37:55.0746539Z [2022-11-23 01:33:17,705] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling BACKWARDS graph 293 2022-11-23T01:37:55.0746775Z [2022-11-23 01:33:17,712] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0747047Z [2022-11-23 01:33:17,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4158 2022-11-23T01:37:55.0747261Z [2022-11-23 01:33:17,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL F [] 2022-11-23T01:37:55.0747710Z [2022-11-23 01:33:17,712] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR dropout [TorchVariable()] 2022-11-23T01:37:55.0748007Z [2022-11-23 01:33:17,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:37:55.0748426Z [2022-11-23 01:33:17,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF weight [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.0748799Z [2022-11-23 01:33:17,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.0749168Z [2022-11-23 01:33:17,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.33 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.0749534Z [2022-11-23 01:33:17,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST train [TorchVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:37:55.0749943Z [2022-11-23 01:33:17,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(bool)] 2022-11-23T01:37:55.0750181Z [2022-11-23 01:33:17,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.0750420Z [2022-11-23 01:33:17,716] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0750670Z [2022-11-23 01:33:17,717] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:37:55.0750912Z [2022-11-23 01:33:17,722] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:37:55.0751105Z [2022-11-23 01:33:17,722] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0751241Z __compiled_fn_301 .2613 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0751326Z placeholder, x, x, (), {} 2022-11-23T01:37:55.0751421Z placeholder, weight, weight, (), {} 2022-11-23T01:37:55.0751586Z call_function, mul, , (x, weight), {} 2022-11-23T01:37:55.0751746Z call_function, lowmem_dropout, , (mul, 0.33, True), {} 2022-11-23T01:37:55.0751857Z output, output, output, ((lowmem_dropout,),), {} 2022-11-23T01:37:55.0751862Z 2022-11-23T01:37:55.0752142Z [2022-11-23 01:33:17,723] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 4156 2022-11-23T01:37:55.0752238Z 4158 0 LOAD_GLOBAL 0 (F) 2022-11-23T01:37:55.0752336Z 2 LOAD_METHOD 1 (dropout) 2022-11-23T01:37:55.0752424Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:55.0752519Z 6 LOAD_DEREF 0 (weight) 2022-11-23T01:37:55.0752586Z 8 BINARY_MULTIPLY 2022-11-23T01:37:55.0752677Z 10 LOAD_CONST 1 (0.33) 2022-11-23T01:37:55.0752768Z 12 LOAD_FAST 1 (train) 2022-11-23T01:37:55.0752856Z 14 CALL_METHOD 3 2022-11-23T01:37:55.0752929Z 16 RETURN_VALUE 2022-11-23T01:37:55.0752934Z 2022-11-23T01:37:55.0752992Z 2022-11-23T01:37:55.0753275Z [2022-11-23 01:33:17,723] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 4156 2022-11-23T01:37:55.0753381Z 4156 0 LOAD_GLOBAL 2 (__compiled_fn_301) 2022-11-23T01:37:55.0753460Z 2 LOAD_FAST 0 (x) 2022-11-23T01:37:55.0753553Z 4 LOAD_DEREF 0 (weight) 2022-11-23T01:37:55.0753642Z 6 CALL_FUNCTION 2 2022-11-23T01:37:55.0753732Z 8 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.0753806Z 10 RETURN_VALUE 2022-11-23T01:37:55.0753811Z 2022-11-23T01:37:55.0753870Z 2022-11-23T01:37:55.0754095Z [2022-11-23 01:33:17,723] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0754155Z - 2022-11-23T01:37:55.0754278Z local 'x' TENSOR_MATCH 2022-11-23T01:37:55.0754343Z { 2022-11-23T01:37:55.0754488Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0754598Z 'code': None, 2022-11-23T01:37:55.0754814Z 'obj_weakref': 2022-11-23T01:37:55.0755072Z 'guarded_class': 2022-11-23T01:37:55.0755173Z } 2022-11-23T01:37:55.0755237Z 2022-11-23T01:37:55.0755307Z - 2022-11-23T01:37:55.0755439Z local 'train' CONSTANT_MATCH 2022-11-23T01:37:55.0755502Z { 2022-11-23T01:37:55.0755638Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0755812Z 'code': ['___check_obj_id(train, 93851402593024)'], 2022-11-23T01:37:55.0755919Z 'obj_weakref': None 2022-11-23T01:37:55.0756142Z 'guarded_class': 2022-11-23T01:37:55.0756205Z } 2022-11-23T01:37:55.0756267Z 2022-11-23T01:37:55.0756338Z - 2022-11-23T01:37:55.0756467Z local 'weight' TENSOR_MATCH 2022-11-23T01:37:55.0756531Z { 2022-11-23T01:37:55.0756662Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0756772Z 'code': None, 2022-11-23T01:37:55.0756986Z 'obj_weakref': 2022-11-23T01:37:55.0757245Z 'guarded_class': 2022-11-23T01:37:55.0757309Z } 2022-11-23T01:37:55.0757371Z 2022-11-23T01:37:55.0757441Z - 2022-11-23T01:37:55.0757554Z global 'F' FUNCTION_MATCH 2022-11-23T01:37:55.0757618Z { 2022-11-23T01:37:55.0757739Z 'guard_types': None, 2022-11-23T01:37:55.0757850Z 'code': None, 2022-11-23T01:37:55.0757970Z 'obj_weakref': None 2022-11-23T01:37:55.0758095Z 'guarded_class': None 2022-11-23T01:37:55.0758159Z } 2022-11-23T01:37:55.0758207Z 2022-11-23T01:37:55.0758470Z [2022-11-23 01:33:17,760] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 294 2022-11-23T01:37:55.0758728Z [2022-11-23 01:33:17,761] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager 2022-11-23T01:37:55.0759099Z [2022-11-23 01:33:19,138] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2g/c2gcu23bawy76xxvy2ccswjbdcqgkq6zl73pnjzgp4j5zhw3zibb.py 2022-11-23T01:37:55.0759366Z [2022-11-23 01:33:19,139] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 294 2022-11-23T01:37:55.0759629Z [2022-11-23 01:33:19,143] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling BACKWARDS graph 294 2022-11-23T01:37:55.0759635Z 2022-11-23T01:37:55.0759732Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0759803Z import torch 2022-11-23T01:37:55.0759860Z import random 2022-11-23T01:37:55.0759977Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0760101Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0760106Z 2022-11-23T01:37:55.0760185Z aten = torch.ops.aten 2022-11-23T01:37:55.0760321Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0760416Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0760421Z 2022-11-23T01:37:55.0760425Z 2022-11-23T01:37:55.0760562Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.0760769Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.0760909Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.0761018Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.0761118Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.0761182Z { 2022-11-23T01:37:55.0761265Z for(long i0=0; i0<12500; i0+=1) 2022-11-23T01:37:55.0761328Z { 2022-11-23T01:37:55.0761472Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.0761606Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.0761677Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.0761766Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.0761863Z } 2022-11-23T01:37:55.0761954Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.0762041Z for(long i0=100000; i0<100000; i0+=1) 2022-11-23T01:37:55.0762104Z { 2022-11-23T01:37:55.0762172Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.0762253Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.0762334Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.0762415Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.0762478Z } 2022-11-23T01:37:55.0762539Z } 2022-11-23T01:37:55.0762621Z ''') 2022-11-23T01:37:55.0762626Z 2022-11-23T01:37:55.0762630Z 2022-11-23T01:37:55.0762705Z async_compile.wait(globals()) 2022-11-23T01:37:55.0762779Z del async_compile 2022-11-23T01:37:55.0762785Z 2022-11-23T01:37:55.0762858Z def call(args): 2022-11-23T01:37:55.0762945Z primals_1, primals_2 = args 2022-11-23T01:37:55.0763017Z args.clear() 2022-11-23T01:37:55.0763224Z buf0 = empty_strided((100000, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0763404Z kernel_cpp_0(c_void_p(primals_1.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.0763477Z del primals_2 2022-11-23T01:37:55.0763549Z return (buf0, primals_1, ) 2022-11-23T01:37:55.0763554Z 2022-11-23T01:37:55.0763558Z 2022-11-23T01:37:55.0763634Z if __name__ == "__main__": 2022-11-23T01:37:55.0763749Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0763871Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0764087Z primals_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0764292Z primals_2 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0764418Z print_performance(lambda: call([primals_1, primals_2])) 2022-11-23T01:37:55.0764423Z 2022-11-23T01:37:55.0764427Z 2022-11-23T01:37:55.0764519Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0764576Z import torch 2022-11-23T01:37:55.0764647Z import random 2022-11-23T01:37:55.0764761Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0764882Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0764887Z 2022-11-23T01:37:55.0764965Z aten = torch.ops.aten 2022-11-23T01:37:55.0765097Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0765188Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0765193Z 2022-11-23T01:37:55.0765198Z 2022-11-23T01:37:55.0765331Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.0765524Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.0765646Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.0765748Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.0765847Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.0765906Z { 2022-11-23T01:37:55.0765985Z for(long i0=0; i0<12500; i0+=1) 2022-11-23T01:37:55.0766048Z { 2022-11-23T01:37:55.0766169Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.0766297Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.0766379Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.0766466Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.0766527Z } 2022-11-23T01:37:55.0766645Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.0766733Z for(long i0=100000; i0<100000; i0+=1) 2022-11-23T01:37:55.0766781Z { 2022-11-23T01:37:55.0766862Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.0766941Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.0767018Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.0767094Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.0767152Z } 2022-11-23T01:37:55.0767212Z } 2022-11-23T01:37:55.0767279Z ''') 2022-11-23T01:37:55.0767285Z 2022-11-23T01:37:55.0767302Z 2022-11-23T01:37:55.0767378Z async_compile.wait(globals()) 2022-11-23T01:37:55.0767480Z del async_compile 2022-11-23T01:37:55.0767485Z 2022-11-23T01:37:55.0767552Z def call(args): 2022-11-23T01:37:55.0767638Z primals_1, tangents_1 = args 2022-11-23T01:37:55.0767708Z args.clear() 2022-11-23T01:37:55.0767912Z buf0 = empty_strided((100000, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0768088Z kernel_cpp_0(c_void_p(tangents_1.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.0768148Z del primals_1 2022-11-23T01:37:55.0768220Z del tangents_1 2022-11-23T01:37:55.0768295Z return (None, buf0, ) 2022-11-23T01:37:55.0768300Z 2022-11-23T01:37:55.0768304Z 2022-11-23T01:37:55.0768380Z if __name__ == "__main__": 2022-11-23T01:37:55.0768493Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0768614Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0768823Z primals_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0769033Z tangents_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0769147Z print_performance(lambda: call([primals_1, tangents_1])) 2022-11-23T01:37:55.0769153Z 2022-11-23T01:37:55.0769157Z 2022-11-23T01:37:55.0769249Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0769320Z import torch 2022-11-23T01:37:55.0769389Z import random 2022-11-23T01:37:55.0769503Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0769624Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0769629Z 2022-11-23T01:37:55.0769705Z aten = torch.ops.aten 2022-11-23T01:37:55.0769826Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0769917Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0770077Z seed_cpu_None = None # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce 2022-11-23T01:37:55.0770082Z 2022-11-23T01:37:55.0770086Z 2022-11-23T01:37:55.0770222Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.0770429Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.0770542Z extern "C" void kernel(const long* __restrict__ seed0, 2022-11-23T01:37:55.0770645Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.0770748Z const float* __restrict__ in_ptr2, 2022-11-23T01:37:55.0770847Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.0770897Z { 2022-11-23T01:37:55.0770972Z #pragma GCC ivdep 2022-11-23T01:37:55.0771053Z for(long i0=0; i0<100000; i0+=1) 2022-11-23T01:37:55.0771114Z { 2022-11-23T01:37:55.0771176Z { 2022-11-23T01:37:55.0771238Z { 2022-11-23T01:37:55.0771309Z auto tmp0 = seed0[0]; 2022-11-23T01:37:55.0771396Z auto tmp6 = in_ptr1[i0]; 2022-11-23T01:37:55.0771480Z auto tmp7 = in_ptr2[i0]; 2022-11-23T01:37:55.0771579Z auto tmp1 = static_cast(i0); 2022-11-23T01:37:55.0771716Z auto tmp2 = static_cast(normalized_rand_cpu(tmp0, tmp1));; 2022-11-23T01:37:55.0771820Z auto tmp3 = static_cast(0.33); 2022-11-23T01:37:55.0771905Z auto tmp4 = tmp2 > tmp3; 2022-11-23T01:37:55.0771997Z auto tmp5 = static_cast(tmp4); 2022-11-23T01:37:55.0772114Z auto tmp8 = tmp6 * tmp7; 2022-11-23T01:37:55.0772202Z auto tmp9 = tmp5 * tmp8; 2022-11-23T01:37:55.0772311Z auto tmp10 = static_cast(1.492537313432836); 2022-11-23T01:37:55.0772399Z auto tmp11 = tmp9 * tmp10; 2022-11-23T01:37:55.0772479Z out_ptr0[i0] = tmp11; 2022-11-23T01:37:55.0772542Z } 2022-11-23T01:37:55.0772592Z } 2022-11-23T01:37:55.0772653Z } 2022-11-23T01:37:55.0772711Z } 2022-11-23T01:37:55.0772792Z ''') 2022-11-23T01:37:55.0772797Z 2022-11-23T01:37:55.0772801Z 2022-11-23T01:37:55.0772887Z async_compile.wait(globals()) 2022-11-23T01:37:55.0772991Z del async_compile 2022-11-23T01:37:55.0772996Z 2022-11-23T01:37:55.0773064Z def call(args): 2022-11-23T01:37:55.0773149Z primals_1, primals_2 = args 2022-11-23T01:37:55.0773208Z args.clear() 2022-11-23T01:37:55.0773338Z torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None) 2022-11-23T01:37:55.0773542Z buf0 = empty_strided((100000, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0773750Z kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(primals_2.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.0773821Z del primals_2 2022-11-23T01:37:55.0773934Z return (buf0, primals_1, seed_cpu_None.clone(), ) 2022-11-23T01:37:55.0773940Z 2022-11-23T01:37:55.0773944Z 2022-11-23T01:37:55.0774020Z if __name__ == "__main__": 2022-11-23T01:37:55.0774133Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0774242Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0774442Z seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.0774650Z primals_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0774852Z primals_2 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0774979Z print_performance(lambda: call([primals_1, primals_2])) 2022-11-23T01:37:55.0774985Z 2022-11-23T01:37:55.0774989Z 2022-11-23T01:37:55.0775081Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0775148Z import torch 2022-11-23T01:37:55.0775217Z import random 2022-11-23T01:37:55.0775316Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0775432Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0775437Z 2022-11-23T01:37:55.0775512Z aten = torch.ops.aten 2022-11-23T01:37:55.0775643Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0775733Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0775740Z 2022-11-23T01:37:55.0775744Z 2022-11-23T01:37:55.0775878Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.0776081Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.0776200Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:37:55.0776295Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.0776399Z const float* __restrict__ in_ptr2, 2022-11-23T01:37:55.0776495Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.0776554Z { 2022-11-23T01:37:55.0776628Z #pragma GCC ivdep 2022-11-23T01:37:55.0776708Z for(long i0=0; i0<100000; i0+=1) 2022-11-23T01:37:55.0776769Z { 2022-11-23T01:37:55.0776819Z { 2022-11-23T01:37:55.0776881Z { 2022-11-23T01:37:55.0776966Z auto tmp0 = in_ptr0[0]; 2022-11-23T01:37:55.0777051Z auto tmp6 = in_ptr1[i0]; 2022-11-23T01:37:55.0777140Z auto tmp10 = in_ptr2[i0]; 2022-11-23T01:37:55.0777239Z auto tmp1 = static_cast(i0); 2022-11-23T01:37:55.0777373Z auto tmp2 = static_cast(normalized_rand_cpu(tmp0, tmp1));; 2022-11-23T01:37:55.0777464Z auto tmp3 = static_cast(0.33); 2022-11-23T01:37:55.0777548Z auto tmp4 = tmp2 > tmp3; 2022-11-23T01:37:55.0777681Z auto tmp5 = static_cast(tmp4); 2022-11-23T01:37:55.0777769Z auto tmp7 = tmp5 * tmp6; 2022-11-23T01:37:55.0777879Z auto tmp8 = static_cast(1.492537313432836); 2022-11-23T01:37:55.0777966Z auto tmp9 = tmp7 * tmp8; 2022-11-23T01:37:55.0778053Z auto tmp11 = tmp9 * tmp10; 2022-11-23T01:37:55.0778122Z out_ptr0[i0] = tmp11; 2022-11-23T01:37:55.0778184Z } 2022-11-23T01:37:55.0778247Z } 2022-11-23T01:37:55.0778307Z } 2022-11-23T01:37:55.0778365Z } 2022-11-23T01:37:55.0778477Z ''') 2022-11-23T01:37:55.0778483Z 2022-11-23T01:37:55.0778487Z 2022-11-23T01:37:55.0778578Z async_compile.wait(globals()) 2022-11-23T01:37:55.0778637Z del async_compile 2022-11-23T01:37:55.0778642Z 2022-11-23T01:37:55.0778708Z def call(args): 2022-11-23T01:37:55.0779004Z primals_1, philox_seed_like, tangents_1 = args 2022-11-23T01:37:55.0779099Z args.clear() 2022-11-23T01:37:55.0779312Z buf0 = empty_strided((100000, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0779526Z kernel_cpp_0(c_void_p(philox_seed_like.data_ptr()), c_void_p(tangents_1.data_ptr()), c_void_p(primals_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.0779605Z del philox_seed_like 2022-11-23T01:37:55.0779663Z del primals_1 2022-11-23T01:37:55.0779734Z del tangents_1 2022-11-23T01:37:55.0779811Z return (None, buf0, ) 2022-11-23T01:37:55.0779817Z 2022-11-23T01:37:55.0779821Z 2022-11-23T01:37:55.0779896Z if __name__ == "__main__": 2022-11-23T01:37:55.0780009Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0780132Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0780341Z primals_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0780546Z philox_seed_like = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.0780745Z tangents_1 = rand_strided((100000, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0780892Z print_performance(lambda: call([primals_1, philox_seed_like, tangents_1])) 2022-11-23T01:37:55.0781268Z [2022-11-23 01:33:20,539] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5e/c5e5lydr6kggybp6ryiwgdbu77xvbufwjpprtz4hy33o3wt3pxec.py 2022-11-23T01:37:55.0781537Z [2022-11-23 01:33:20,540] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling BACKWARDS graph 294 2022-11-23T01:37:55.0781543Z 2022-11-23T01:37:55.0781609Z ok (4.286s) 2022-11-23T01:37:55.0781928Z test_lowmem_dropout2_cpu (__main__.CpuTests) ... [2022-11-23 01:33:20,564] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0782204Z [2022-11-23 01:33:20,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4212 2022-11-23T01:37:55.0782420Z [2022-11-23 01:33:20,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF m [] 2022-11-23T01:37:55.0782668Z [2022-11-23 01:33:20,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [NNModuleVariable()] 2022-11-23T01:37:55.0782946Z [2022-11-23 01:33:20,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NNModuleVariable(), TensorVariable()] 2022-11-23T01:37:55.0783184Z [2022-11-23 01:33:20,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.0783420Z [2022-11-23 01:33:20,574] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0783663Z [2022-11-23 01:33:20,575] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:37:55.0783905Z [2022-11-23 01:33:20,583] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:37:55.0784097Z [2022-11-23 01:33:20,584] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0784232Z __compiled_fn_302 .2624 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0784383Z placeholder, x, x, (), {} 2022-11-23T01:37:55.0784469Z call_module, m_0, m_0, (x,), {} 2022-11-23T01:37:55.0784541Z call_module, m_1, m_1, (m_0,), {} 2022-11-23T01:37:55.0784621Z call_module, m_2, m_2, (m_1,), {} 2022-11-23T01:37:55.0784701Z call_module, m_3, m_3, (m_2,), {} 2022-11-23T01:37:55.0784794Z output, output, output, ((m_3,),), {} 2022-11-23T01:37:55.0784799Z 2022-11-23T01:37:55.0785082Z [2022-11-23 01:33:20,584] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 4210 2022-11-23T01:37:55.0785175Z 4212 0 LOAD_DEREF 0 (m) 2022-11-23T01:37:55.0785318Z 2 LOAD_FAST 0 (x) 2022-11-23T01:37:55.0785397Z 4 CALL_FUNCTION 1 2022-11-23T01:37:55.0785471Z 6 RETURN_VALUE 2022-11-23T01:37:55.0785476Z 2022-11-23T01:37:55.0785535Z 2022-11-23T01:37:55.0785820Z [2022-11-23 01:33:20,584] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 4210 2022-11-23T01:37:55.0785930Z 4210 0 LOAD_GLOBAL 0 (__compiled_fn_302) 2022-11-23T01:37:55.0786016Z 2 LOAD_FAST 0 (x) 2022-11-23T01:37:55.0786103Z 4 CALL_FUNCTION 1 2022-11-23T01:37:55.0786193Z 6 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.0786255Z 8 RETURN_VALUE 2022-11-23T01:37:55.0786259Z 2022-11-23T01:37:55.0786316Z 2022-11-23T01:37:55.0786502Z [2022-11-23 01:33:20,585] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0786575Z - 2022-11-23T01:37:55.0786693Z local 'm' NN_MODULE 2022-11-23T01:37:55.0786758Z { 2022-11-23T01:37:55.0786897Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0787049Z 'code': ['___check_obj_id(m, 140538743402192)'], 2022-11-23T01:37:55.0787272Z 'obj_weakref': 2022-11-23T01:37:55.0787520Z 'guarded_class': 2022-11-23T01:37:55.0787585Z } 2022-11-23T01:37:55.0787647Z 2022-11-23T01:37:55.0787717Z - 2022-11-23T01:37:55.0787840Z local 'x' TENSOR_MATCH 2022-11-23T01:37:55.0787892Z { 2022-11-23T01:37:55.0788036Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0788215Z 'code': None, 2022-11-23T01:37:55.0788440Z 'obj_weakref': 2022-11-23T01:37:55.0788697Z 'guarded_class': 2022-11-23T01:37:55.0788764Z } 2022-11-23T01:37:55.0788827Z 2022-11-23T01:37:55.0788886Z - 2022-11-23T01:37:55.0789027Z local_nn_module 'm[0]' NN_MODULE 2022-11-23T01:37:55.0789090Z { 2022-11-23T01:37:55.0789211Z 'guard_types': None, 2022-11-23T01:37:55.0789323Z 'code': None, 2022-11-23T01:37:55.0789443Z 'obj_weakref': None 2022-11-23T01:37:55.0789564Z 'guarded_class': None 2022-11-23T01:37:55.0789614Z } 2022-11-23T01:37:55.0789677Z 2022-11-23T01:37:55.0789746Z - 2022-11-23T01:37:55.0789886Z local_nn_module 'm[1]' NN_MODULE 2022-11-23T01:37:55.0789948Z { 2022-11-23T01:37:55.0790069Z 'guard_types': None, 2022-11-23T01:37:55.0790177Z 'code': None, 2022-11-23T01:37:55.0790283Z 'obj_weakref': None 2022-11-23T01:37:55.0790407Z 'guarded_class': None 2022-11-23T01:37:55.0790468Z } 2022-11-23T01:37:55.0790528Z 2022-11-23T01:37:55.0790600Z - 2022-11-23T01:37:55.0790737Z local_nn_module 'm[2]' NN_MODULE 2022-11-23T01:37:55.0790787Z { 2022-11-23T01:37:55.0790904Z 'guard_types': None, 2022-11-23T01:37:55.0791050Z 'code': None, 2022-11-23T01:37:55.0791174Z 'obj_weakref': None 2022-11-23T01:37:55.0791294Z 'guarded_class': None 2022-11-23T01:37:55.0791355Z } 2022-11-23T01:37:55.0791415Z 2022-11-23T01:37:55.0791471Z - 2022-11-23T01:37:55.0791607Z local_nn_module 'm[3]' NN_MODULE 2022-11-23T01:37:55.0791669Z { 2022-11-23T01:37:55.0791789Z 'guard_types': None, 2022-11-23T01:37:55.0791899Z 'code': None, 2022-11-23T01:37:55.0792021Z 'obj_weakref': None 2022-11-23T01:37:55.0792145Z 'guarded_class': None 2022-11-23T01:37:55.0792227Z } 2022-11-23T01:37:55.0792290Z 2022-11-23T01:37:55.0792554Z [2022-11-23 01:33:20,657] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 295 2022-11-23T01:37:55.0792815Z [2022-11-23 01:33:20,659] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager 2022-11-23T01:37:55.0793197Z [2022-11-23 01:33:22,100] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/aa/caacwvm5zgsg4cxgonjtsqktlauqjrtagpt6by4dzlq7opeyuagq.py 2022-11-23T01:37:55.0793466Z [2022-11-23 01:33:22,101] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 295 2022-11-23T01:37:55.0793728Z [2022-11-23 01:33:22,103] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling BACKWARDS graph 295 2022-11-23T01:37:55.0794088Z [2022-11-23 01:33:23,659] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xt/cxt7233ua56gzjj5wwes2opvdk7touk54wkmjwmadk67s2bwxopg.py 2022-11-23T01:37:55.0794361Z [2022-11-23 01:33:23,660] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling BACKWARDS graph 295 2022-11-23T01:37:55.0794367Z 2022-11-23T01:37:55.0794449Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0794519Z import torch 2022-11-23T01:37:55.0794592Z import random 2022-11-23T01:37:55.0794711Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0794832Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0794837Z 2022-11-23T01:37:55.0794918Z aten = torch.ops.aten 2022-11-23T01:37:55.0795054Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0795135Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0795298Z seed_cpu_None = None # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce 2022-11-23T01:37:55.0795303Z 2022-11-23T01:37:55.0795308Z 2022-11-23T01:37:55.0795445Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.0795655Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.0795776Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:37:55.0795879Z const long* __restrict__ seed0, 2022-11-23T01:37:55.0795977Z bool* __restrict__ out_ptr0) 2022-11-23T01:37:55.0796043Z { 2022-11-23T01:37:55.0796108Z #pragma GCC ivdep 2022-11-23T01:37:55.0796190Z for(long i0=0; i0<256; i0+=1) 2022-11-23T01:37:55.0796253Z { 2022-11-23T01:37:55.0796317Z { 2022-11-23T01:37:55.0796381Z { 2022-11-23T01:37:55.0796466Z auto tmp0 = seed0[0]; 2022-11-23T01:37:55.0796562Z auto tmp7 = in_out_ptr0[i0]; 2022-11-23T01:37:55.0796652Z auto tmp1 = static_cast(65535); 2022-11-23T01:37:55.0796740Z auto tmp2 = tmp0 ^ tmp1; 2022-11-23T01:37:55.0796839Z auto tmp3 = static_cast(i0); 2022-11-23T01:37:55.0796978Z auto tmp4 = static_cast(normalized_rand_cpu(tmp2, tmp3));; 2022-11-23T01:37:55.0797083Z auto tmp5 = static_cast(0.5); 2022-11-23T01:37:55.0797171Z auto tmp6 = tmp4 < tmp5; 2022-11-23T01:37:55.0797278Z auto tmp8 = static_cast(tmp6); 2022-11-23T01:37:55.0797352Z auto tmp9 = tmp8 / tmp5; 2022-11-23T01:37:55.0797473Z auto tmp10 = tmp7 * tmp9; 2022-11-23T01:37:55.0797559Z out_ptr0[i0] = tmp6; 2022-11-23T01:37:55.0797645Z in_out_ptr0[i0] = tmp10; 2022-11-23T01:37:55.0797712Z } 2022-11-23T01:37:55.0797777Z } 2022-11-23T01:37:55.0797843Z } 2022-11-23T01:37:55.0797889Z } 2022-11-23T01:37:55.0797972Z ''') 2022-11-23T01:37:55.0797978Z 2022-11-23T01:37:55.0797982Z 2022-11-23T01:37:55.0798120Z kernel_cpp_1 = async_compile.cpp(''' 2022-11-23T01:37:55.0798328Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.0798494Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:37:55.0798595Z const long* __restrict__ seed0, 2022-11-23T01:37:55.0798689Z bool* __restrict__ out_ptr0) 2022-11-23T01:37:55.0798738Z { 2022-11-23T01:37:55.0798814Z #pragma GCC ivdep 2022-11-23T01:37:55.0798894Z for(long i0=0; i0<256; i0+=1) 2022-11-23T01:37:55.0798960Z { 2022-11-23T01:37:55.0799020Z { 2022-11-23T01:37:55.0799083Z { 2022-11-23T01:37:55.0799163Z auto tmp0 = seed0[0]; 2022-11-23T01:37:55.0799243Z auto tmp7 = in_out_ptr0[i0]; 2022-11-23T01:37:55.0799345Z auto tmp1 = static_cast(65535); 2022-11-23T01:37:55.0799429Z auto tmp2 = tmp0 ^ tmp1; 2022-11-23T01:37:55.0799532Z auto tmp3 = static_cast(256 + i0); 2022-11-23T01:37:55.0799664Z auto tmp4 = static_cast(normalized_rand_cpu(tmp2, tmp3));; 2022-11-23T01:37:55.0799766Z auto tmp5 = static_cast(0.5); 2022-11-23T01:37:55.0799853Z auto tmp6 = tmp4 < tmp5; 2022-11-23T01:37:55.0799945Z auto tmp8 = static_cast(tmp6); 2022-11-23T01:37:55.0800029Z auto tmp9 = tmp8 / tmp5; 2022-11-23T01:37:55.0800115Z auto tmp10 = tmp7 * tmp9; 2022-11-23T01:37:55.0800194Z out_ptr0[i0] = tmp6; 2022-11-23T01:37:55.0800280Z in_out_ptr0[i0] = tmp10; 2022-11-23T01:37:55.0800342Z } 2022-11-23T01:37:55.0800405Z } 2022-11-23T01:37:55.0800453Z } 2022-11-23T01:37:55.0800510Z } 2022-11-23T01:37:55.0800589Z ''') 2022-11-23T01:37:55.0800594Z 2022-11-23T01:37:55.0800598Z 2022-11-23T01:37:55.0800685Z async_compile.wait(globals()) 2022-11-23T01:37:55.0800757Z del async_compile 2022-11-23T01:37:55.0800762Z 2022-11-23T01:37:55.0800830Z def call(args): 2022-11-23T01:37:55.0800930Z primals_1, primals_2, primals_3 = args 2022-11-23T01:37:55.0800988Z args.clear() 2022-11-23T01:37:55.0801121Z torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None) 2022-11-23T01:37:55.0801321Z buf0 = empty_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0801452Z aten.mm.out(primals_3, as_strided(primals_1, (32, 32), (1, 32)), out=buf0) 2022-11-23T01:37:55.0801523Z del primals_1 2022-11-23T01:37:55.0801718Z buf1 = empty_strided((8, 32), (32, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:37:55.0801801Z buf2 = buf0; del buf0 # reuse 2022-11-23T01:37:55.0801972Z kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(seed_cpu_None.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:55.0802156Z buf3 = empty_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0802281Z aten.mm.out(buf2, as_strided(primals_2, (32, 32), (1, 32)), out=buf3) 2022-11-23T01:37:55.0802473Z buf4 = empty_strided((8, 32), (32, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:37:55.0802556Z buf5 = buf3; del buf3 # reuse 2022-11-23T01:37:55.0802728Z kernel_cpp_1(c_void_p(buf5.data_ptr()), c_void_p(seed_cpu_None.data_ptr()), c_void_p(buf4.data_ptr())) 2022-11-23T01:37:55.0802867Z return (buf5, primals_3, buf1, buf2, buf4, as_strided(primals_2, (32, 32), (32, 1)), ) 2022-11-23T01:37:55.0802873Z 2022-11-23T01:37:55.0802877Z 2022-11-23T01:37:55.0802952Z if __name__ == "__main__": 2022-11-23T01:37:55.0803093Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0803204Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0803404Z seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.0803612Z primals_1 = rand_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0803814Z primals_2 = rand_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0804017Z primals_3 = rand_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0804154Z print_performance(lambda: call([primals_1, primals_2, primals_3])) 2022-11-23T01:37:55.0804188Z 2022-11-23T01:37:55.0804193Z 2022-11-23T01:37:55.0804287Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0804356Z import torch 2022-11-23T01:37:55.0804424Z import random 2022-11-23T01:37:55.0804524Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0804645Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0804650Z 2022-11-23T01:37:55.0804726Z aten = torch.ops.aten 2022-11-23T01:37:55.0804858Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0804949Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0804954Z 2022-11-23T01:37:55.0804958Z 2022-11-23T01:37:55.0805095Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.0805299Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.0805418Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.0805513Z const bool* __restrict__ in_ptr1, 2022-11-23T01:37:55.0805614Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.0805674Z { 2022-11-23T01:37:55.0805748Z #pragma GCC ivdep 2022-11-23T01:37:55.0805829Z for(long i0=0; i0<256; i0+=1) 2022-11-23T01:37:55.0805888Z { 2022-11-23T01:37:55.0805948Z { 2022-11-23T01:37:55.0806000Z { 2022-11-23T01:37:55.0806085Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.0806172Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.0806275Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:37:55.0806376Z auto tmp3 = static_cast(0.5); 2022-11-23T01:37:55.0806462Z auto tmp4 = tmp2 / tmp3; 2022-11-23T01:37:55.0806536Z auto tmp5 = tmp0 * tmp4; 2022-11-23T01:37:55.0806617Z out_ptr0[i0] = tmp5; 2022-11-23T01:37:55.0806679Z } 2022-11-23T01:37:55.0806744Z } 2022-11-23T01:37:55.0806806Z } 2022-11-23T01:37:55.0806864Z } 2022-11-23T01:37:55.0806942Z ''') 2022-11-23T01:37:55.0806948Z 2022-11-23T01:37:55.0806952Z 2022-11-23T01:37:55.0807085Z kernel_cpp_1 = async_compile.cpp(''' 2022-11-23T01:37:55.0807275Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.0807392Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:37:55.0807494Z const bool* __restrict__ in_ptr0) 2022-11-23T01:37:55.0807554Z { 2022-11-23T01:37:55.0807627Z #pragma GCC ivdep 2022-11-23T01:37:55.0807707Z for(long i0=0; i0<256; i0+=1) 2022-11-23T01:37:55.0807766Z { 2022-11-23T01:37:55.0807815Z { 2022-11-23T01:37:55.0807876Z { 2022-11-23T01:37:55.0807968Z auto tmp0 = in_out_ptr0[i0]; 2022-11-23T01:37:55.0808053Z auto tmp1 = in_ptr0[i0]; 2022-11-23T01:37:55.0808155Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:37:55.0808257Z auto tmp3 = static_cast(0.5); 2022-11-23T01:37:55.0808332Z auto tmp4 = tmp2 / tmp3; 2022-11-23T01:37:55.0808416Z auto tmp5 = tmp0 * tmp4; 2022-11-23T01:37:55.0808498Z in_out_ptr0[i0] = tmp5; 2022-11-23T01:37:55.0808561Z } 2022-11-23T01:37:55.0808622Z } 2022-11-23T01:37:55.0808682Z } 2022-11-23T01:37:55.0808740Z } 2022-11-23T01:37:55.0808868Z ''') 2022-11-23T01:37:55.0808874Z 2022-11-23T01:37:55.0808891Z 2022-11-23T01:37:55.0808971Z async_compile.wait(globals()) 2022-11-23T01:37:55.0809042Z del async_compile 2022-11-23T01:37:55.0809047Z 2022-11-23T01:37:55.0809117Z def call(args): 2022-11-23T01:37:55.0809233Z primals_3, lt, mul, lt_1, permute_4, tangents_1 = args 2022-11-23T01:37:55.0809304Z args.clear() 2022-11-23T01:37:55.0809507Z buf0 = empty_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0809676Z kernel_cpp_0(c_void_p(tangents_1.data_ptr()), c_void_p(lt_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.0809761Z del lt_1 2022-11-23T01:37:55.0809833Z del tangents_1 2022-11-23T01:37:55.0810035Z buf1 = empty_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0810152Z aten.mm.out(as_strided(buf0, (32, 8), (1, 32)), mul, out=buf1) 2022-11-23T01:37:55.0810216Z del mul 2022-11-23T01:37:55.0810416Z buf2 = empty_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0810514Z aten.mm.out(buf0, permute_4, out=buf2) 2022-11-23T01:37:55.0810566Z del buf0 2022-11-23T01:37:55.0810637Z del permute_4 2022-11-23T01:37:55.0810718Z buf3 = buf2; del buf2 # reuse 2022-11-23T01:37:55.0810847Z kernel_cpp_1(c_void_p(buf3.data_ptr()), c_void_p(lt.data_ptr())) 2022-11-23T01:37:55.0810911Z del lt 2022-11-23T01:37:55.0811106Z buf4 = empty_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0811232Z aten.mm.out(as_strided(buf3, (32, 8), (1, 32)), primals_3, out=buf4) 2022-11-23T01:37:55.0811286Z del buf3 2022-11-23T01:37:55.0811355Z del primals_3 2022-11-23T01:37:55.0811485Z return (as_strided(buf4, (32, 32), (32, 1)), as_strided(buf1, (32, 32), (32, 1)), None, ) 2022-11-23T01:37:55.0811490Z 2022-11-23T01:37:55.0811494Z 2022-11-23T01:37:55.0811573Z if __name__ == "__main__": 2022-11-23T01:37:55.0811687Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0811806Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0812013Z primals_3 = rand_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0812201Z lt = rand_strided((8, 32), (32, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:37:55.0812381Z mul = rand_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0812564Z lt_1 = rand_strided((8, 32), (32, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:37:55.0812770Z permute_4 = rand_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0812979Z tangents_1 = rand_strided((8, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0813129Z print_performance(lambda: call([primals_3, lt, mul, lt_1, permute_4, tangents_1])) 2022-11-23T01:37:55.0813135Z 2022-11-23T01:37:55.0813200Z ok (3.103s) 2022-11-23T01:37:55.0813520Z test_masked_fill_cpu (__main__.CpuTests) ... [2022-11-23 01:33:23,668] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0813793Z [2022-11-23 01:33:23,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0814015Z [2022-11-23 01:33:23,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0814259Z [2022-11-23 01:33:23,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.0814548Z [2022-11-23 01:33:23,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.0814875Z [2022-11-23 01:33:23,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0815242Z [2022-11-23 01:33:23,668] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.0815343Z 2457 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.0815444Z 2 LOAD_METHOD 1 (masked_fill) 2022-11-23T01:37:55.0815538Z 4 LOAD_FAST 1 (value) 2022-11-23T01:37:55.0815630Z 6 LOAD_FAST 0 (mask) 2022-11-23T01:37:55.0815768Z 8 LOAD_CONST 1 (-10000.0) 2022-11-23T01:37:55.0815858Z 10 CALL_METHOD 3 2022-11-23T01:37:55.0815947Z 12 LOAD_CONST 2 (2) 2022-11-23T01:37:55.0816019Z 14 BINARY_ADD 2022-11-23T01:37:55.0816143Z 16 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.0816242Z 18 LOAD_METHOD 1 (masked_fill) 2022-11-23T01:37:55.0816247Z 2022-11-23T01:37:55.0816337Z 2458 20 LOAD_FAST 1 (value) 2022-11-23T01:37:55.0816426Z 22 LOAD_CONST 3 (2.0) 2022-11-23T01:37:55.0816498Z 24 BINARY_TRUE_DIVIDE 2022-11-23T01:37:55.0816593Z 26 LOAD_GLOBAL 2 (torch) 2022-11-23T01:37:55.0816690Z 28 LOAD_METHOD 3 (logical_not) 2022-11-23T01:37:55.0816780Z 30 LOAD_FAST 0 (mask) 2022-11-23T01:37:55.0816865Z 32 CALL_METHOD 1 2022-11-23T01:37:55.0816952Z 34 LOAD_CONST 4 (667) 2022-11-23T01:37:55.0817039Z 36 CALL_METHOD 3 2022-11-23T01:37:55.0817113Z 38 BUILD_TUPLE 2 2022-11-23T01:37:55.0817187Z 40 RETURN_VALUE 2022-11-23T01:37:55.0817250Z 2022-11-23T01:37:55.0817254Z 2022-11-23T01:37:55.0817525Z [2022-11-23 01:33:23,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2457 2022-11-23T01:37:55.0817743Z [2022-11-23 01:33:23,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.0818062Z [2022-11-23 01:33:23,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill [TorchVariable()] 2022-11-23T01:37:55.0818333Z [2022-11-23 01:33:23,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST value [TorchVariable(aten.masked_fill)] 2022-11-23T01:37:55.0818626Z [2022-11-23 01:33:23,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask [TorchVariable(aten.masked_fill), TensorVariable()] 2022-11-23T01:37:55.0819186Z [2022-11-23 01:33:23,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -10000.0 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.0819549Z [2022-11-23 01:33:23,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:37:55.0819793Z [2022-11-23 01:33:23,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:37:55.0820078Z [2022-11-23 01:33:23,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.0820327Z [2022-11-23 01:33:23,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:55.0820672Z [2022-11-23 01:33:23,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.0820942Z [2022-11-23 01:33:23,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2458 2022-11-23T01:37:55.0821245Z [2022-11-23 01:33:23,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST value [TensorVariable(), TorchVariable(aten.masked_fill)] 2022-11-23T01:37:55.0821570Z [2022-11-23 01:33:23,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable()] 2022-11-23T01:37:55.0822012Z [2022-11-23 01:33:23,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:37:55.0822348Z [2022-11-23 01:33:23,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable()] 2022-11-23T01:37:55.0822845Z [2022-11-23 01:33:23,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR logical_not [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.0823336Z [2022-11-23 01:33:23,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.0823816Z [2022-11-23 01:33:23,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.0824154Z [2022-11-23 01:33:23,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 667 [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.0824547Z [2022-11-23 01:33:23,686] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.0824819Z [2022-11-23 01:33:23,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.0825072Z [2022-11-23 01:33:23,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.0825410Z [2022-11-23 01:33:23,687] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.0825659Z [2022-11-23 01:33:23,687] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.0825897Z [2022-11-23 01:33:23,687] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0826157Z [2022-11-23 01:33:23,689] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0826412Z [2022-11-23 01:33:23,694] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0826607Z [2022-11-23 01:33:23,694] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0826729Z __compiled_fn_303 .2635 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0826818Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0826903Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.0827100Z call_function, masked_fill, aten.masked_fill, (ex_1_, ex_0_, -10000.0), {} 2022-11-23T01:37:55.0827287Z call_function, add, , (masked_fill, 2), {} 2022-11-23T01:37:55.0827477Z call_function, truediv, , (ex_1_, 2.0), {} 2022-11-23T01:37:55.0827727Z call_function, logical_not, , (ex_0_,), {} 2022-11-23T01:37:55.0827872Z call_function, masked_fill_1, aten.masked_fill, (truediv, logical_not, 667), {} 2022-11-23T01:37:55.0827971Z output, output, output, ((add, masked_fill_1),), {} 2022-11-23T01:37:55.0827977Z 2022-11-23T01:37:55.0828333Z [2022-11-23 01:33:23,695] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0828434Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0828525Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0828617Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0828708Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0828825Z 8 RETURN_VALUE 2022-11-23T01:37:55.0828831Z 2022-11-23T01:37:55.0828892Z 2022-11-23T01:37:55.0829158Z [2022-11-23 01:33:23,695] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0829267Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_303) 2022-11-23T01:37:55.0829358Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0829446Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0829522Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0829614Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0829735Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.0829797Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.0829885Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.0829989Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.0830091Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.0830179Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0830253Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.0830352Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.0830427Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:55.0830501Z 28 BINARY_SUBSCR 2022-11-23T01:37:55.0830587Z 30 BUILD_TUPLE 2 2022-11-23T01:37:55.0830661Z 32 RETURN_VALUE 2022-11-23T01:37:55.0830665Z 2022-11-23T01:37:55.0830725Z 2022-11-23T01:37:55.0830911Z [2022-11-23 01:33:23,696] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0830988Z - 2022-11-23T01:37:55.0831097Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0831159Z { 2022-11-23T01:37:55.0831300Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0831493Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.0831618Z 'obj_weakref': None 2022-11-23T01:37:55.0831844Z 'guarded_class': 2022-11-23T01:37:55.0831910Z } 2022-11-23T01:37:55.0831960Z 2022-11-23T01:37:55.0832033Z - 2022-11-23T01:37:55.0832162Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0832228Z { 2022-11-23T01:37:55.0832374Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0832486Z 'code': None, 2022-11-23T01:37:55.0832705Z 'obj_weakref': 2022-11-23T01:37:55.0832965Z 'guarded_class': 2022-11-23T01:37:55.0833017Z } 2022-11-23T01:37:55.0833081Z 2022-11-23T01:37:55.0833154Z - 2022-11-23T01:37:55.0833281Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.0833348Z { 2022-11-23T01:37:55.0833494Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0833590Z 'code': None, 2022-11-23T01:37:55.0833806Z 'obj_weakref': 2022-11-23T01:37:55.0834064Z 'guarded_class': 2022-11-23T01:37:55.0834133Z } 2022-11-23T01:37:55.0834198Z 2022-11-23T01:37:55.0834272Z - 2022-11-23T01:37:55.0834409Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.0834461Z { 2022-11-23T01:37:55.0834604Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0834779Z 'code': ['___check_obj_id(model, 140538738824544)'], 2022-11-23T01:37:55.0834903Z 'obj_weakref': None 2022-11-23T01:37:55.0835138Z 'guarded_class': 2022-11-23T01:37:55.0835237Z } 2022-11-23T01:37:55.0835305Z 2022-11-23T01:37:55.0835366Z - 2022-11-23T01:37:55.0835492Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0835557Z { 2022-11-23T01:37:55.0835697Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0835917Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0836041Z 'obj_weakref': None 2022-11-23T01:37:55.0836264Z 'guarded_class': 2022-11-23T01:37:55.0836362Z } 2022-11-23T01:37:55.0836414Z 2022-11-23T01:37:55.0836486Z - 2022-11-23T01:37:55.0836621Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.0836687Z { 2022-11-23T01:37:55.0836810Z 'guard_types': None, 2022-11-23T01:37:55.0836922Z 'code': None, 2022-11-23T01:37:55.0837030Z 'obj_weakref': None 2022-11-23T01:37:55.0837155Z 'guarded_class': None 2022-11-23T01:37:55.0837220Z } 2022-11-23T01:37:55.0837284Z 2022-11-23T01:37:55.0837358Z - 2022-11-23T01:37:55.0837494Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.0837557Z { 2022-11-23T01:37:55.0837666Z 'guard_types': None, 2022-11-23T01:37:55.0837773Z 'code': None, 2022-11-23T01:37:55.0837896Z 'obj_weakref': None 2022-11-23T01:37:55.0838018Z 'guarded_class': None 2022-11-23T01:37:55.0838087Z } 2022-11-23T01:37:55.0838154Z 2022-11-23T01:37:55.0838420Z [2022-11-23 01:33:23,707] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 296 2022-11-23T01:37:55.0838781Z [2022-11-23 01:33:25,108] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/p5/cp55elkx6yjoynjid2mgkldqzh5awsowffqtwbrplvvtfk6g7tqg.py 2022-11-23T01:37:55.0839048Z [2022-11-23 01:33:25,109] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 296 2022-11-23T01:37:55.0839055Z 2022-11-23T01:37:55.0839150Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0839217Z import torch 2022-11-23T01:37:55.0839286Z import random 2022-11-23T01:37:55.0839400Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0839523Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0839528Z 2022-11-23T01:37:55.0839604Z aten = torch.ops.aten 2022-11-23T01:37:55.0839726Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0839821Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0839826Z 2022-11-23T01:37:55.0839831Z 2022-11-23T01:37:55.0839966Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.0840171Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.0840295Z extern "C" void kernel(const bool* __restrict__ in_ptr0, 2022-11-23T01:37:55.0840401Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.0840502Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.0840596Z float* __restrict__ out_ptr1) 2022-11-23T01:37:55.0840644Z { 2022-11-23T01:37:55.0840718Z #pragma GCC ivdep 2022-11-23T01:37:55.0840800Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:37:55.0840860Z { 2022-11-23T01:37:55.0840937Z #pragma GCC ivdep 2022-11-23T01:37:55.0841017Z for(long i1=0; i1<16; i1+=1) 2022-11-23T01:37:55.0841068Z { 2022-11-23T01:37:55.0841129Z { 2022-11-23T01:37:55.0841198Z { 2022-11-23T01:37:55.0841289Z auto tmp0 = in_ptr0[i1]; 2022-11-23T01:37:55.0841388Z auto tmp2 = in_ptr1[i1 + (16*i0)]; 2022-11-23T01:37:55.0841555Z auto tmp1 = static_cast(-10000.0); 2022-11-23T01:37:55.0841653Z auto tmp3 = tmp0 ? tmp1 : tmp2; 2022-11-23T01:37:55.0841783Z auto tmp4 = static_cast(2); 2022-11-23T01:37:55.0841864Z auto tmp5 = tmp3 + tmp4; 2022-11-23T01:37:55.0841949Z auto tmp6 = tmp0 == 0; 2022-11-23T01:37:55.0842053Z auto tmp7 = static_cast(667.0); 2022-11-23T01:37:55.0842158Z auto tmp8 = static_cast(2.0); 2022-11-23T01:37:55.0842248Z auto tmp9 = tmp2 / tmp8; 2022-11-23T01:37:55.0842344Z auto tmp10 = tmp6 ? tmp7 : tmp9; 2022-11-23T01:37:55.0842436Z out_ptr0[i1 + (16*i0)] = tmp5; 2022-11-23T01:37:55.0842559Z out_ptr1[i1 + (16*i0)] = tmp10; 2022-11-23T01:37:55.0842623Z } 2022-11-23T01:37:55.0842688Z } 2022-11-23T01:37:55.0842751Z } 2022-11-23T01:37:55.0842814Z } 2022-11-23T01:37:55.0842873Z } 2022-11-23T01:37:55.0842942Z ''') 2022-11-23T01:37:55.0842958Z 2022-11-23T01:37:55.0842963Z 2022-11-23T01:37:55.0843040Z async_compile.wait(globals()) 2022-11-23T01:37:55.0843114Z del async_compile 2022-11-23T01:37:55.0843119Z 2022-11-23T01:37:55.0843195Z def call(args): 2022-11-23T01:37:55.0843269Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.0843340Z args.clear() 2022-11-23T01:37:55.0843542Z buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0843744Z buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0843922Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:55.0843996Z del arg0_1 2022-11-23T01:37:55.0844062Z del arg1_1 2022-11-23T01:37:55.0844138Z return (buf0, buf1, ) 2022-11-23T01:37:55.0844143Z 2022-11-23T01:37:55.0844147Z 2022-11-23T01:37:55.0844223Z if __name__ == "__main__": 2022-11-23T01:37:55.0844334Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0844456Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0844654Z arg0_1 = rand_strided((1, 16), (16, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:37:55.0844843Z arg1_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0844956Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.0844961Z 2022-11-23T01:37:55.0845026Z ok (1.449s) 2022-11-23T01:37:55.0845354Z test_masked_fill_promotion_cpu (__main__.CpuTests) ... [2022-11-23 01:33:25,117] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:37:55.0845629Z [2022-11-23 01:33:25,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2471 2022-11-23T01:37:55.0845851Z [2022-11-23 01:33:25,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.0846168Z [2022-11-23 01:33:25,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill [TorchVariable()] 2022-11-23T01:37:55.0846441Z [2022-11-23 01:33:25,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST value [TorchVariable(aten.masked_fill)] 2022-11-23T01:37:55.0846736Z [2022-11-23 01:33:25,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask [TorchVariable(aten.masked_fill), TensorVariable()] 2022-11-23T01:37:55.0847054Z [2022-11-23 01:33:25,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.0847535Z [2022-11-23 01:33:25,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.0848005Z [2022-11-23 01:33:25,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.5 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.0848486Z [2022-11-23 01:33:25,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(float)] 2022-11-23T01:37:55.0848840Z [2022-11-23 01:33:25,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.0849092Z [2022-11-23 01:33:25,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.0849362Z [2022-11-23 01:33:25,127] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:37:55.0849607Z [2022-11-23 01:33:25,128] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:37:55.0849848Z [2022-11-23 01:33:25,132] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:37:55.0850042Z [2022-11-23 01:33:25,132] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0850176Z __compiled_fn_304 .2641 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0850255Z placeholder, mask, mask, (), {} 2022-11-23T01:37:55.0850348Z placeholder, value, value, (), {} 2022-11-23T01:37:55.0850577Z call_function, tensor, , (3.5,), {} 2022-11-23T01:37:55.0850714Z call_function, masked_fill, aten.masked_fill, (value, mask, tensor), {} 2022-11-23T01:37:55.0850817Z output, output, output, ((masked_fill,),), {} 2022-11-23T01:37:55.0850825Z 2022-11-23T01:37:55.0851105Z [2022-11-23 01:33:25,132] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 2470 2022-11-23T01:37:55.0851199Z 2471 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.0851301Z 2 LOAD_METHOD 1 (masked_fill) 2022-11-23T01:37:55.0851384Z 4 LOAD_FAST 1 (value) 2022-11-23T01:37:55.0851473Z 6 LOAD_FAST 0 (mask) 2022-11-23T01:37:55.0851564Z 8 LOAD_GLOBAL 2 (torch) 2022-11-23T01:37:55.0851655Z 10 LOAD_METHOD 3 (tensor) 2022-11-23T01:37:55.0851745Z 12 LOAD_CONST 1 (3.5) 2022-11-23T01:37:55.0851832Z 14 CALL_METHOD 1 2022-11-23T01:37:55.0851918Z 16 CALL_METHOD 3 2022-11-23T01:37:55.0851982Z 18 RETURN_VALUE 2022-11-23T01:37:55.0851998Z 2022-11-23T01:37:55.0852048Z 2022-11-23T01:37:55.0852329Z [2022-11-23 01:33:25,132] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 2470 2022-11-23T01:37:55.0852437Z 2470 0 LOAD_GLOBAL 4 (__compiled_fn_304) 2022-11-23T01:37:55.0852526Z 2 LOAD_FAST 0 (mask) 2022-11-23T01:37:55.0852618Z 4 LOAD_FAST 1 (value) 2022-11-23T01:37:55.0852706Z 6 CALL_FUNCTION 2 2022-11-23T01:37:55.0852799Z 8 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.0852862Z 10 RETURN_VALUE 2022-11-23T01:37:55.0852866Z 2022-11-23T01:37:55.0852924Z 2022-11-23T01:37:55.0853109Z [2022-11-23 01:33:25,133] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0853184Z - 2022-11-23T01:37:55.0853311Z local 'mask' TENSOR_MATCH 2022-11-23T01:37:55.0853376Z { 2022-11-23T01:37:55.0853521Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0853622Z 'code': None, 2022-11-23T01:37:55.0853839Z 'obj_weakref': 2022-11-23T01:37:55.0854095Z 'guarded_class': 2022-11-23T01:37:55.0854159Z } 2022-11-23T01:37:55.0854222Z 2022-11-23T01:37:55.0854325Z - 2022-11-23T01:37:55.0854456Z local 'value' TENSOR_MATCH 2022-11-23T01:37:55.0854507Z { 2022-11-23T01:37:55.0854653Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0854762Z 'code': None, 2022-11-23T01:37:55.0854976Z 'obj_weakref': 2022-11-23T01:37:55.0855231Z 'guarded_class': 2022-11-23T01:37:55.0855294Z } 2022-11-23T01:37:55.0855355Z 2022-11-23T01:37:55.0855446Z - 2022-11-23T01:37:55.0855578Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.0855643Z { 2022-11-23T01:37:55.0855766Z 'guard_types': None, 2022-11-23T01:37:55.0855875Z 'code': None, 2022-11-23T01:37:55.0855996Z 'obj_weakref': None 2022-11-23T01:37:55.0856119Z 'guarded_class': None 2022-11-23T01:37:55.0856170Z } 2022-11-23T01:37:55.0856231Z 2022-11-23T01:37:55.0856300Z - 2022-11-23T01:37:55.0856433Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.0856496Z { 2022-11-23T01:37:55.0856616Z 'guard_types': None, 2022-11-23T01:37:55.0856725Z 'code': None, 2022-11-23T01:37:55.0856832Z 'obj_weakref': None 2022-11-23T01:37:55.0856953Z 'guarded_class': None 2022-11-23T01:37:55.0857015Z } 2022-11-23T01:37:55.0857077Z 2022-11-23T01:37:55.0857340Z [2022-11-23 01:33:25,140] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 297 2022-11-23T01:37:55.0857721Z [2022-11-23 01:33:26,553] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/aw/cawsjnopb5ftzthdhmsblkygc6vudzfocfpyyrycxkcwvb6evg4x.py 2022-11-23T01:37:55.0857992Z [2022-11-23 01:33:26,554] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 297 2022-11-23T01:37:55.0858229Z [2022-11-23 01:33:26,558] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:37:55.0858488Z [2022-11-23 01:33:26,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2471 2022-11-23T01:37:55.0858708Z [2022-11-23 01:33:26,559] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.0859325Z [2022-11-23 01:33:26,564] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR masked_fill [TorchVariable()] 2022-11-23T01:37:55.0859600Z [2022-11-23 01:33:26,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST value [TorchVariable(aten.masked_fill)] 2022-11-23T01:37:55.0859901Z [2022-11-23 01:33:26,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mask [TorchVariable(aten.masked_fill), TensorVariable()] 2022-11-23T01:37:55.0860234Z [2022-11-23 01:33:26,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.0860720Z [2022-11-23 01:33:26,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.0861161Z [2022-11-23 01:33:26,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.5 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.0861647Z [2022-11-23 01:33:26,565] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(float)] 2022-11-23T01:37:55.0862057Z [2022-11-23 01:33:26,566] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.masked_fill), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.0862315Z [2022-11-23 01:33:26,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.0862553Z [2022-11-23 01:33:26,568] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:37:55.0862782Z [2022-11-23 01:33:26,569] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:37:55.0863022Z [2022-11-23 01:33:26,573] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:37:55.0863260Z [2022-11-23 01:33:26,574] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0863396Z __compiled_fn_305 .2647 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0863487Z placeholder, mask, mask, (), {} 2022-11-23T01:37:55.0863580Z placeholder, value, value, (), {} 2022-11-23T01:37:55.0863813Z call_function, tensor, , (3.5,), {} 2022-11-23T01:37:55.0863950Z call_function, masked_fill, aten.masked_fill, (value, mask, tensor), {} 2022-11-23T01:37:55.0864044Z output, output, output, ((masked_fill,),), {} 2022-11-23T01:37:55.0864049Z 2022-11-23T01:37:55.0864328Z [2022-11-23 01:33:26,574] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 2470 2022-11-23T01:37:55.0864422Z 2471 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.0864520Z 2 LOAD_METHOD 1 (masked_fill) 2022-11-23T01:37:55.0864613Z 4 LOAD_FAST 1 (value) 2022-11-23T01:37:55.0864706Z 6 LOAD_FAST 0 (mask) 2022-11-23T01:37:55.0864797Z 8 LOAD_GLOBAL 2 (torch) 2022-11-23T01:37:55.0864877Z 10 LOAD_METHOD 3 (tensor) 2022-11-23T01:37:55.0864966Z 12 LOAD_CONST 1 (3.5) 2022-11-23T01:37:55.0865055Z 14 CALL_METHOD 1 2022-11-23T01:37:55.0865142Z 16 CALL_METHOD 3 2022-11-23T01:37:55.0865218Z 18 RETURN_VALUE 2022-11-23T01:37:55.0865223Z 2022-11-23T01:37:55.0865283Z 2022-11-23T01:37:55.0865562Z [2022-11-23 01:33:26,574] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 2470 2022-11-23T01:37:55.0865671Z 2470 0 LOAD_GLOBAL 4 (__compiled_fn_305) 2022-11-23T01:37:55.0865748Z 2 LOAD_FAST 0 (mask) 2022-11-23T01:37:55.0865837Z 4 LOAD_FAST 1 (value) 2022-11-23T01:37:55.0865927Z 6 CALL_FUNCTION 2 2022-11-23T01:37:55.0866019Z 8 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.0866094Z 10 RETURN_VALUE 2022-11-23T01:37:55.0866098Z 2022-11-23T01:37:55.0866156Z 2022-11-23T01:37:55.0866340Z [2022-11-23 01:33:26,575] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0866402Z - 2022-11-23T01:37:55.0866528Z local 'mask' TENSOR_MATCH 2022-11-23T01:37:55.0866595Z { 2022-11-23T01:37:55.0866738Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0866848Z 'code': None, 2022-11-23T01:37:55.0867065Z 'obj_weakref': 2022-11-23T01:37:55.0867323Z 'guarded_class': 2022-11-23T01:37:55.0867387Z } 2022-11-23T01:37:55.0867437Z 2022-11-23T01:37:55.0867508Z - 2022-11-23T01:37:55.0867633Z local 'value' TENSOR_MATCH 2022-11-23T01:37:55.0867696Z { 2022-11-23T01:37:55.0867838Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0867949Z 'code': None, 2022-11-23T01:37:55.0868226Z 'obj_weakref': 2022-11-23T01:37:55.0868528Z 'guarded_class': 2022-11-23T01:37:55.0868594Z } 2022-11-23T01:37:55.0868657Z 2022-11-23T01:37:55.0868728Z - 2022-11-23T01:37:55.0868860Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.0868922Z { 2022-11-23T01:37:55.0869031Z 'guard_types': None, 2022-11-23T01:37:55.0869138Z 'code': None, 2022-11-23T01:37:55.0869258Z 'obj_weakref': None 2022-11-23T01:37:55.0869382Z 'guarded_class': None 2022-11-23T01:37:55.0869481Z } 2022-11-23T01:37:55.0869544Z 2022-11-23T01:37:55.0869614Z - 2022-11-23T01:37:55.0869736Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.0869799Z { 2022-11-23T01:37:55.0869920Z 'guard_types': None, 2022-11-23T01:37:55.0870027Z 'code': None, 2022-11-23T01:37:55.0870151Z 'obj_weakref': None 2022-11-23T01:37:55.0870273Z 'guarded_class': None 2022-11-23T01:37:55.0870337Z } 2022-11-23T01:37:55.0870386Z 2022-11-23T01:37:55.0870649Z [2022-11-23 01:33:26,583] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 298 2022-11-23T01:37:55.0871018Z [2022-11-23 01:33:28,099] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/se/cse66ydma3sqoiksc3bb7mgwr2bf5cbpmmt5qa6fm6ixs23znfbd.py 2022-11-23T01:37:55.0871284Z [2022-11-23 01:33:28,100] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 298 2022-11-23T01:37:55.0871293Z 2022-11-23T01:37:55.0871385Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0871452Z import torch 2022-11-23T01:37:55.0871520Z import random 2022-11-23T01:37:55.0871633Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0871742Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0871747Z 2022-11-23T01:37:55.0871825Z aten = torch.ops.aten 2022-11-23T01:37:55.0871961Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0872051Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0872057Z 2022-11-23T01:37:55.0872061Z 2022-11-23T01:37:55.0872196Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.0872406Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.0872524Z extern "C" void kernel(const bool* __restrict__ in_ptr0, 2022-11-23T01:37:55.0872626Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.0872716Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.0872779Z { 2022-11-23T01:37:55.0872857Z #pragma GCC ivdep 2022-11-23T01:37:55.0872940Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:37:55.0873004Z { 2022-11-23T01:37:55.0873086Z for(long i1=0; i1<2; i1+=1) 2022-11-23T01:37:55.0873149Z { 2022-11-23T01:37:55.0873241Z float g_tmp_buffer_in_ptr0[8] = {0}; 2022-11-23T01:37:55.0873364Z flag_to_float(in_ptr0 + 8*i1, g_tmp_buffer_in_ptr0, 8); 2022-11-23T01:37:55.0873524Z auto tmp0 = at::vec::Vectorized::loadu(g_tmp_buffer_in_ptr0); 2022-11-23T01:37:55.0873667Z auto tmp2 = at::vec::Vectorized::loadu(in_ptr1 + (8*i1) + (16*i0)); 2022-11-23T01:37:55.0873805Z auto tmp1 = at::vec::Vectorized(static_cast(3.5)); 2022-11-23T01:37:55.0873931Z auto tmp3 = decltype(tmp1)::blendv(tmp2, tmp1, tmp0); 2022-11-23T01:37:55.0874032Z tmp3.store(out_ptr0 + (8*i1) + (16*i0)); 2022-11-23T01:37:55.0874099Z } 2022-11-23T01:37:55.0874177Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.0874261Z for(long i1=16; i1<16; i1+=1) 2022-11-23T01:37:55.0874325Z { 2022-11-23T01:37:55.0874411Z auto tmp0 = in_ptr0[i1]; 2022-11-23T01:37:55.0874506Z auto tmp2 = in_ptr1[i1 + (16*i0)]; 2022-11-23T01:37:55.0874646Z auto tmp1 = static_cast(3.5); 2022-11-23T01:37:55.0874744Z auto tmp3 = tmp0 ? tmp1 : tmp2; 2022-11-23T01:37:55.0874820Z out_ptr0[i1 + (16*i0)] = tmp3; 2022-11-23T01:37:55.0874883Z } 2022-11-23T01:37:55.0874944Z } 2022-11-23T01:37:55.0875005Z } 2022-11-23T01:37:55.0875087Z ''') 2022-11-23T01:37:55.0875092Z 2022-11-23T01:37:55.0875096Z 2022-11-23T01:37:55.0875187Z async_compile.wait(globals()) 2022-11-23T01:37:55.0875261Z del async_compile 2022-11-23T01:37:55.0875265Z 2022-11-23T01:37:55.0875325Z def call(args): 2022-11-23T01:37:55.0875402Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.0875516Z args.clear() 2022-11-23T01:37:55.0875723Z buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0875889Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.0875959Z del arg0_1 2022-11-23T01:37:55.0876026Z del arg1_1 2022-11-23T01:37:55.0876087Z return (buf0, ) 2022-11-23T01:37:55.0876092Z 2022-11-23T01:37:55.0876096Z 2022-11-23T01:37:55.0876175Z if __name__ == "__main__": 2022-11-23T01:37:55.0876290Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0876414Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0876611Z arg0_1 = rand_strided((1, 16), (16, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:37:55.0876815Z arg1_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0876932Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.0876940Z 2022-11-23T01:37:55.0876944Z 2022-11-23T01:37:55.0877040Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0877096Z import torch 2022-11-23T01:37:55.0877166Z import random 2022-11-23T01:37:55.0877284Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0877404Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0877409Z 2022-11-23T01:37:55.0877491Z aten = torch.ops.aten 2022-11-23T01:37:55.0877625Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0877719Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0877724Z 2022-11-23T01:37:55.0877728Z 2022-11-23T01:37:55.0877867Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.0878059Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.0878182Z extern "C" void kernel(const bool* __restrict__ in_ptr0, 2022-11-23T01:37:55.0878286Z const long* __restrict__ in_ptr1, 2022-11-23T01:37:55.0878384Z long* __restrict__ out_ptr0) 2022-11-23T01:37:55.0878444Z { 2022-11-23T01:37:55.0878521Z #pragma GCC ivdep 2022-11-23T01:37:55.0878601Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:37:55.0878649Z { 2022-11-23T01:37:55.0878724Z #pragma GCC ivdep 2022-11-23T01:37:55.0878803Z for(long i1=0; i1<16; i1+=1) 2022-11-23T01:37:55.0878864Z { 2022-11-23T01:37:55.0878927Z { 2022-11-23T01:37:55.0878992Z { 2022-11-23T01:37:55.0879084Z auto tmp0 = in_ptr0[i1]; 2022-11-23T01:37:55.0879171Z auto tmp3 = in_ptr1[i1 + (16*i0)]; 2022-11-23T01:37:55.0879275Z auto tmp1 = static_cast(3.5); 2022-11-23T01:37:55.0879377Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:37:55.0879474Z auto tmp4 = tmp0 ? tmp2 : tmp3; 2022-11-23T01:37:55.0879564Z out_ptr0[i1 + (16*i0)] = tmp4; 2022-11-23T01:37:55.0879630Z } 2022-11-23T01:37:55.0879694Z } 2022-11-23T01:37:55.0879743Z } 2022-11-23T01:37:55.0879803Z } 2022-11-23T01:37:55.0879862Z } 2022-11-23T01:37:55.0879940Z ''') 2022-11-23T01:37:55.0879945Z 2022-11-23T01:37:55.0879950Z 2022-11-23T01:37:55.0880037Z async_compile.wait(globals()) 2022-11-23T01:37:55.0880107Z del async_compile 2022-11-23T01:37:55.0880112Z 2022-11-23T01:37:55.0880211Z def call(args): 2022-11-23T01:37:55.0880276Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.0880345Z args.clear() 2022-11-23T01:37:55.0880542Z buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.0880705Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.0880775Z del arg0_1 2022-11-23T01:37:55.0880844Z del arg1_1 2022-11-23T01:37:55.0880914Z return (buf0, ) 2022-11-23T01:37:55.0880919Z 2022-11-23T01:37:55.0880923Z 2022-11-23T01:37:55.0880997Z if __name__ == "__main__": 2022-11-23T01:37:55.0881129Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0881251Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0881447Z arg0_1 = rand_strided((1, 16), (16, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:37:55.0881651Z arg1_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.0881766Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.0881771Z 2022-11-23T01:37:55.0881837Z ok (2.990s) 2022-11-23T01:37:55.0882146Z test_max_min_cpu (__main__.CpuTests) ... [2022-11-23 01:33:28,107] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0882422Z [2022-11-23 01:33:28,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0882631Z [2022-11-23 01:33:28,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0882885Z [2022-11-23 01:33:28,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.0883175Z [2022-11-23 01:33:28,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.0883504Z [2022-11-23 01:33:28,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0883832Z [2022-11-23 01:33:28,108] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.0883927Z 683 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.0884026Z 2 LOAD_METHOD 1 (maximum) 2022-11-23T01:37:55.0884115Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.0884204Z 6 LOAD_FAST 1 (b) 2022-11-23T01:37:55.0884279Z 8 CALL_METHOD 2 2022-11-23T01:37:55.0884375Z 10 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.0884468Z 12 LOAD_METHOD 2 (minimum) 2022-11-23T01:37:55.0884554Z 14 LOAD_FAST 0 (a) 2022-11-23T01:37:55.0884638Z 16 LOAD_FAST 1 (b) 2022-11-23T01:37:55.0884722Z 18 CALL_METHOD 2 2022-11-23T01:37:55.0884810Z 20 BUILD_TUPLE 2 2022-11-23T01:37:55.0884874Z 22 RETURN_VALUE 2022-11-23T01:37:55.0884934Z 2022-11-23T01:37:55.0884939Z 2022-11-23T01:37:55.0885208Z [2022-11-23 01:33:28,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:683 2022-11-23T01:37:55.0885431Z [2022-11-23 01:33:28,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.0885804Z [2022-11-23 01:33:28,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR maximum [TorchVariable()] 2022-11-23T01:37:55.0886133Z [2022-11-23 01:33:28,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:55.0886515Z [2022-11-23 01:33:28,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.0886906Z [2022-11-23 01:33:28,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.0887158Z [2022-11-23 01:33:28,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:37:55.0887556Z [2022-11-23 01:33:28,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR minimum [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.0887940Z [2022-11-23 01:33:28,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.0888322Z [2022-11-23 01:33:28,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.0888740Z [2022-11-23 01:33:28,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.0889017Z [2022-11-23 01:33:28,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.0889266Z [2022-11-23 01:33:28,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.0889598Z [2022-11-23 01:33:28,111] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.0889848Z [2022-11-23 01:33:28,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.0890086Z [2022-11-23 01:33:28,112] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0890347Z [2022-11-23 01:33:28,113] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0890601Z [2022-11-23 01:33:28,116] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0890793Z [2022-11-23 01:33:28,117] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0890915Z __compiled_fn_306 .2653 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0891005Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0891090Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.0891339Z call_function, maximum, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.0891585Z call_function, minimum, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.0891699Z output, output, output, ((maximum, minimum),), {} 2022-11-23T01:37:55.0891705Z 2022-11-23T01:37:55.0891984Z [2022-11-23 01:33:28,117] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0892077Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0892154Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0892245Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0892334Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0892408Z 8 RETURN_VALUE 2022-11-23T01:37:55.0892414Z 2022-11-23T01:37:55.0892472Z 2022-11-23T01:37:55.0892747Z [2022-11-23 01:33:28,117] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0892857Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_306) 2022-11-23T01:37:55.0892948Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0893024Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0893099Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0893218Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0893307Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.0893382Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.0893470Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.0893574Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.0893664Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.0893753Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0893828Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.0893928Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.0894044Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:55.0894118Z 28 BINARY_SUBSCR 2022-11-23T01:37:55.0894205Z 30 BUILD_TUPLE 2 2022-11-23T01:37:55.0894267Z 32 RETURN_VALUE 2022-11-23T01:37:55.0894272Z 2022-11-23T01:37:55.0894330Z 2022-11-23T01:37:55.0894517Z [2022-11-23 01:33:28,118] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0894590Z - 2022-11-23T01:37:55.0894709Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0894773Z { 2022-11-23T01:37:55.0894916Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0895092Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.0895212Z 'obj_weakref': None 2022-11-23T01:37:55.0895438Z 'guarded_class': 2022-11-23T01:37:55.0895501Z } 2022-11-23T01:37:55.0895567Z 2022-11-23T01:37:55.0895638Z - 2022-11-23T01:37:55.0895764Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0895815Z { 2022-11-23T01:37:55.0895959Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0896067Z 'code': None, 2022-11-23T01:37:55.0896285Z 'obj_weakref': 2022-11-23T01:37:55.0896541Z 'guarded_class': 2022-11-23T01:37:55.0896604Z } 2022-11-23T01:37:55.0896666Z 2022-11-23T01:37:55.0896723Z - 2022-11-23T01:37:55.0896846Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.0896908Z { 2022-11-23T01:37:55.0897051Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0897159Z 'code': None, 2022-11-23T01:37:55.0897370Z 'obj_weakref': 2022-11-23T01:37:55.0897626Z 'guarded_class': 2022-11-23T01:37:55.0897677Z } 2022-11-23T01:37:55.0897738Z 2022-11-23T01:37:55.0897808Z - 2022-11-23T01:37:55.0897941Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.0898005Z { 2022-11-23T01:37:55.0898141Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0898313Z 'code': ['___check_obj_id(model, 140538738824544)'], 2022-11-23T01:37:55.0898421Z 'obj_weakref': None 2022-11-23T01:37:55.0898650Z 'guarded_class': 2022-11-23T01:37:55.0898715Z } 2022-11-23T01:37:55.0898940Z 2022-11-23T01:37:55.0899062Z - 2022-11-23T01:37:55.0899202Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0899265Z { 2022-11-23T01:37:55.0899392Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0899611Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0899732Z 'obj_weakref': None 2022-11-23T01:37:55.0899954Z 'guarded_class': 2022-11-23T01:37:55.0900079Z } 2022-11-23T01:37:55.0900143Z 2022-11-23T01:37:55.0900215Z - 2022-11-23T01:37:55.0900339Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.0900405Z { 2022-11-23T01:37:55.0900526Z 'guard_types': None, 2022-11-23T01:37:55.0900635Z 'code': None, 2022-11-23T01:37:55.0900754Z 'obj_weakref': None 2022-11-23T01:37:55.0900876Z 'guarded_class': None 2022-11-23T01:37:55.0900939Z } 2022-11-23T01:37:55.0900989Z 2022-11-23T01:37:55.0901251Z [2022-11-23 01:33:28,125] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 299 2022-11-23T01:37:55.0901668Z [2022-11-23 01:33:29,652] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tx/ctxiuh6zv5ilrdzmnmadjfctmi5awb7zem5wlcv4dmsvfq4jlgl3.py 2022-11-23T01:37:55.0901936Z [2022-11-23 01:33:29,652] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 299 2022-11-23T01:37:55.0901942Z 2022-11-23T01:37:55.0902034Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0902102Z import torch 2022-11-23T01:37:55.0902169Z import random 2022-11-23T01:37:55.0902282Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0902391Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0902396Z 2022-11-23T01:37:55.0902472Z aten = torch.ops.aten 2022-11-23T01:37:55.0902605Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0902696Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0902704Z 2022-11-23T01:37:55.0902708Z 2022-11-23T01:37:55.0902844Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.0903050Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.0903170Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.0903277Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.0903366Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.0903462Z float* __restrict__ out_ptr1) 2022-11-23T01:37:55.0903524Z { 2022-11-23T01:37:55.0903605Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:37:55.0903666Z { 2022-11-23T01:37:55.0903808Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.0903940Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.0904035Z auto tmp2 = at::vec::maximum(tmp0, tmp1); 2022-11-23T01:37:55.0904138Z auto tmp3 = at::vec::minimum(tmp0, tmp1); 2022-11-23T01:37:55.0904229Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.0904314Z tmp3.store(out_ptr1 + 8*i0); 2022-11-23T01:37:55.0904376Z } 2022-11-23T01:37:55.0904463Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.0904541Z for(long i0=8; i0<8; i0+=1) 2022-11-23T01:37:55.0904591Z { 2022-11-23T01:37:55.0904672Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.0904753Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.0904849Z auto tmp2 = std::max(tmp0, tmp1); 2022-11-23T01:37:55.0904942Z auto tmp3 = std::min(tmp0, tmp1); 2022-11-23T01:37:55.0905023Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.0905098Z out_ptr1[i0] = tmp3; 2022-11-23T01:37:55.0905145Z } 2022-11-23T01:37:55.0905205Z } 2022-11-23T01:37:55.0905285Z ''') 2022-11-23T01:37:55.0905290Z 2022-11-23T01:37:55.0905294Z 2022-11-23T01:37:55.0905382Z async_compile.wait(globals()) 2022-11-23T01:37:55.0905454Z del async_compile 2022-11-23T01:37:55.0905458Z 2022-11-23T01:37:55.0905532Z def call(args): 2022-11-23T01:37:55.0905607Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.0905665Z args.clear() 2022-11-23T01:37:55.0905858Z buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0906047Z buf1 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0906267Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:55.0906337Z del arg0_1 2022-11-23T01:37:55.0906404Z del arg1_1 2022-11-23T01:37:55.0906481Z return (buf0, buf1, ) 2022-11-23T01:37:55.0906486Z 2022-11-23T01:37:55.0906490Z 2022-11-23T01:37:55.0906565Z if __name__ == "__main__": 2022-11-23T01:37:55.0906666Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0906787Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0906982Z arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0907242Z arg1_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0907355Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.0907360Z 2022-11-23T01:37:55.0907425Z ok (1.553s) 2022-11-23T01:37:55.0907740Z test_max_pool2d1_cpu (__main__.CpuTests) ... [2022-11-23 01:33:29,659] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0908011Z [2022-11-23 01:33:29,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0908323Z [2022-11-23 01:33:29,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0908575Z [2022-11-23 01:33:29,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.0908863Z [2022-11-23 01:33:29,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.0909193Z [2022-11-23 01:33:29,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0909526Z [2022-11-23 01:33:29,660] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.0909625Z 1953 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.0909741Z 2 LOAD_METHOD 1 (max_pool2d_with_indices) 2022-11-23T01:37:55.0909832Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:55.0909922Z 6 LOAD_CONST 1 (3) 2022-11-23T01:37:55.0909997Z 8 LOAD_CONST 1 (3) 2022-11-23T01:37:55.0910085Z 10 BUILD_LIST 2 2022-11-23T01:37:55.0910172Z 12 LOAD_CONST 2 (2) 2022-11-23T01:37:55.0910258Z 14 LOAD_CONST 2 (2) 2022-11-23T01:37:55.0910346Z 16 BUILD_LIST 2 2022-11-23T01:37:55.0910432Z 18 CALL_METHOD 3 2022-11-23T01:37:55.0910508Z 20 RETURN_VALUE 2022-11-23T01:37:55.0910557Z 2022-11-23T01:37:55.0910576Z 2022-11-23T01:37:55.0910836Z [2022-11-23 01:33:29,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1953 2022-11-23T01:37:55.0911058Z [2022-11-23 01:33:29,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.0911397Z [2022-11-23 01:33:29,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable()] 2022-11-23T01:37:55.0911681Z [2022-11-23 01:33:29,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)] 2022-11-23T01:37:55.0911995Z [2022-11-23 01:33:29,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()] 2022-11-23T01:37:55.0912345Z [2022-11-23 01:33:29,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.0912767Z [2022-11-23 01:33:29,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.0913107Z [2022-11-23 01:33:29,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.0913478Z [2022-11-23 01:33:29,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.0913891Z [2022-11-23 01:33:29,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.0914288Z [2022-11-23 01:33:29,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:55.0914527Z [2022-11-23 01:33:29,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.0914862Z [2022-11-23 01:33:29,668] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.0915110Z [2022-11-23 01:33:29,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.0915351Z [2022-11-23 01:33:29,668] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0915609Z [2022-11-23 01:33:29,670] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0915866Z [2022-11-23 01:33:29,673] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0916059Z [2022-11-23 01:33:29,673] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0922380Z __compiled_fn_307 .2659 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0922502Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0922671Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [3, 3], [2, 2]), {} 2022-11-23T01:37:55.0922920Z call_function, getitem, , (max_pool2d_with_indices, 0), {} 2022-11-23T01:37:55.0923133Z call_function, getitem_1, , (max_pool2d_with_indices, 1), {} 2022-11-23T01:37:55.0923248Z output, output, output, ((getitem, getitem_1),), {} 2022-11-23T01:37:55.0923255Z 2022-11-23T01:37:55.0923543Z [2022-11-23 01:33:29,674] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0923642Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0923736Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0923830Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0923920Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0923997Z 8 RETURN_VALUE 2022-11-23T01:37:55.0924005Z 2022-11-23T01:37:55.0924054Z 2022-11-23T01:37:55.0924331Z [2022-11-23 01:33:29,674] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0924441Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_307) 2022-11-23T01:37:55.0924530Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0924620Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0924697Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0924785Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0924890Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.0924982Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.0925070Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0925146Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.0925246Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.0925403Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.0925482Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.0925571Z 24 BUILD_TUPLE 2 2022-11-23T01:37:55.0925633Z 26 RETURN_VALUE 2022-11-23T01:37:55.0925638Z 2022-11-23T01:37:55.0925700Z 2022-11-23T01:37:55.0925890Z [2022-11-23 01:33:29,675] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0925963Z - 2022-11-23T01:37:55.0926088Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0926153Z { 2022-11-23T01:37:55.0926295Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0926516Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0926638Z 'obj_weakref': None 2022-11-23T01:37:55.0926864Z 'guarded_class': 2022-11-23T01:37:55.0926930Z } 2022-11-23T01:37:55.0926992Z 2022-11-23T01:37:55.0927063Z - 2022-11-23T01:37:55.0927194Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0927246Z { 2022-11-23T01:37:55.0927389Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0927497Z 'code': None, 2022-11-23T01:37:55.0927713Z 'obj_weakref': 2022-11-23T01:37:55.0927970Z 'guarded_class': 2022-11-23T01:37:55.0928035Z } 2022-11-23T01:37:55.0928097Z 2022-11-23T01:37:55.0928154Z - 2022-11-23T01:37:55.0928289Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.0928352Z { 2022-11-23T01:37:55.0928489Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0928663Z 'code': ['___check_obj_id(model, 140538914282240)'], 2022-11-23T01:37:55.0928786Z 'obj_weakref': None 2022-11-23T01:37:55.0929024Z 'guarded_class': 2022-11-23T01:37:55.0929076Z } 2022-11-23T01:37:55.0929140Z 2022-11-23T01:37:55.0929210Z - 2022-11-23T01:37:55.0929334Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0929398Z { 2022-11-23T01:37:55.0929536Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0929756Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0929863Z 'obj_weakref': None 2022-11-23T01:37:55.0930086Z 'guarded_class': 2022-11-23T01:37:55.0930152Z } 2022-11-23T01:37:55.0930217Z 2022-11-23T01:37:55.0930287Z - 2022-11-23T01:37:55.0930420Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.0930482Z { 2022-11-23T01:37:55.0930590Z 'guard_types': None, 2022-11-23T01:37:55.0930700Z 'code': None, 2022-11-23T01:37:55.0930821Z 'obj_weakref': None 2022-11-23T01:37:55.0930942Z 'guarded_class': None 2022-11-23T01:37:55.0931005Z } 2022-11-23T01:37:55.0931068Z 2022-11-23T01:37:55.0931333Z [2022-11-23 01:33:29,680] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 300 2022-11-23T01:37:55.0931694Z [2022-11-23 01:33:31,215] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5a/c5aleqng33qvkswhlsjcp4vlhuujbclfql3olyr75tqyo6c5b3qe.py 2022-11-23T01:37:55.0931960Z [2022-11-23 01:33:31,216] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 300 2022-11-23T01:37:55.0931969Z 2022-11-23T01:37:55.0932061Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0932129Z import torch 2022-11-23T01:37:55.0932197Z import random 2022-11-23T01:37:55.0932312Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0932467Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0932473Z 2022-11-23T01:37:55.0932553Z aten = torch.ops.aten 2022-11-23T01:37:55.0932674Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0932764Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0932769Z 2022-11-23T01:37:55.0932774Z 2022-11-23T01:37:55.0932911Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.0933114Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.0933235Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.0933369Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.0933467Z long* __restrict__ out_ptr1) 2022-11-23T01:37:55.0933526Z { 2022-11-23T01:37:55.0933590Z #pragma GCC ivdep 2022-11-23T01:37:55.0933670Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.0933730Z { 2022-11-23T01:37:55.0933807Z #pragma GCC ivdep 2022-11-23T01:37:55.0933889Z for(long i1=0; i1<7; i1+=1) 2022-11-23T01:37:55.0933952Z { 2022-11-23T01:37:55.0934019Z #pragma GCC ivdep 2022-11-23T01:37:55.0934100Z for(long i2=0; i2<7; i2+=1) 2022-11-23T01:37:55.0934165Z { 2022-11-23T01:37:55.0934230Z { 2022-11-23T01:37:55.0934296Z { 2022-11-23T01:37:55.0934408Z auto tmp0 = in_ptr0[(2*i2) + (32*i1) + (256*i0)]; 2022-11-23T01:37:55.0934524Z auto tmp2 = in_ptr0[1 + (2*i2) + (32*i1) + (256*i0)]; 2022-11-23T01:37:55.0934622Z auto tmp7 = in_ptr0[2 + (2*i2) + (32*i1) + (256*i0)]; 2022-11-23T01:37:55.0934736Z auto tmp12 = in_ptr0[16 + (2*i2) + (32*i1) + (256*i0)]; 2022-11-23T01:37:55.0934849Z auto tmp17 = in_ptr0[17 + (2*i2) + (32*i1) + (256*i0)]; 2022-11-23T01:37:55.0934960Z auto tmp22 = in_ptr0[18 + (2*i2) + (32*i1) + (256*i0)]; 2022-11-23T01:37:55.0935072Z auto tmp27 = in_ptr0[32 + (2*i2) + (32*i1) + (256*i0)]; 2022-11-23T01:37:55.0935181Z auto tmp32 = in_ptr0[33 + (2*i2) + (32*i1) + (256*i0)]; 2022-11-23T01:37:55.0935291Z auto tmp37 = in_ptr0[34 + (2*i2) + (32*i1) + (256*i0)]; 2022-11-23T01:37:55.0935404Z auto tmp1 = static_cast((2*i2) + (32*i1)); 2022-11-23T01:37:55.0935506Z auto tmp3 = static_cast(1 + (2*i2) + (32*i1)); 2022-11-23T01:37:55.0935599Z auto tmp4 = tmp2 > tmp0; 2022-11-23T01:37:55.0935699Z auto tmp5 = tmp4 ? tmp3 : tmp1; 2022-11-23T01:37:55.0935819Z auto tmp6 = std::max(tmp2, tmp0); 2022-11-23T01:37:55.0935933Z auto tmp8 = static_cast(2 + (2*i2) + (32*i1)); 2022-11-23T01:37:55.0936026Z auto tmp9 = tmp7 > tmp6; 2022-11-23T01:37:55.0936127Z auto tmp10 = tmp9 ? tmp8 : tmp5; 2022-11-23T01:37:55.0936238Z auto tmp11 = std::max(tmp7, tmp6); 2022-11-23T01:37:55.0936343Z auto tmp13 = static_cast(16 + (2*i2) + (32*i1)); 2022-11-23T01:37:55.0936436Z auto tmp14 = tmp12 > tmp11; 2022-11-23T01:37:55.0936538Z auto tmp15 = tmp14 ? tmp13 : tmp10; 2022-11-23T01:37:55.0936646Z auto tmp16 = std::max(tmp12, tmp11); 2022-11-23T01:37:55.0936762Z auto tmp18 = static_cast(17 + (2*i2) + (32*i1)); 2022-11-23T01:37:55.0936855Z auto tmp19 = tmp17 > tmp16; 2022-11-23T01:37:55.0936961Z auto tmp20 = tmp19 ? tmp18 : tmp15; 2022-11-23T01:37:55.0937069Z auto tmp21 = std::max(tmp17, tmp16); 2022-11-23T01:37:55.0937174Z auto tmp23 = static_cast(18 + (2*i2) + (32*i1)); 2022-11-23T01:37:55.0937268Z auto tmp24 = tmp22 > tmp21; 2022-11-23T01:37:55.0937409Z auto tmp25 = tmp24 ? tmp23 : tmp20; 2022-11-23T01:37:55.0937519Z auto tmp26 = std::max(tmp22, tmp21); 2022-11-23T01:37:55.0937636Z auto tmp28 = static_cast(32 + (2*i2) + (32*i1)); 2022-11-23T01:37:55.0937730Z auto tmp29 = tmp27 > tmp26; 2022-11-23T01:37:55.0937831Z auto tmp30 = tmp29 ? tmp28 : tmp25; 2022-11-23T01:37:55.0937939Z auto tmp31 = std::max(tmp27, tmp26); 2022-11-23T01:37:55.0938042Z auto tmp33 = static_cast(33 + (2*i2) + (32*i1)); 2022-11-23T01:37:55.0938182Z auto tmp34 = tmp32 > tmp31; 2022-11-23T01:37:55.0938283Z auto tmp35 = tmp34 ? tmp33 : tmp30; 2022-11-23T01:37:55.0938390Z auto tmp36 = std::max(tmp32, tmp31); 2022-11-23T01:37:55.0938506Z auto tmp38 = static_cast(34 + (2*i2) + (32*i1)); 2022-11-23T01:37:55.0938600Z auto tmp39 = tmp37 > tmp36; 2022-11-23T01:37:55.0938701Z auto tmp40 = tmp39 ? tmp38 : tmp35; 2022-11-23T01:37:55.0938977Z auto tmp41 = std::max(tmp37, tmp36); 2022-11-23T01:37:55.0939124Z out_ptr0[i2 + (7*i1) + (49*i0)] = tmp41; 2022-11-23T01:37:55.0939232Z out_ptr1[i2 + (7*i1) + (49*i0)] = tmp40; 2022-11-23T01:37:55.0939300Z } 2022-11-23T01:37:55.0939367Z } 2022-11-23T01:37:55.0939430Z } 2022-11-23T01:37:55.0939497Z } 2022-11-23T01:37:55.0939548Z } 2022-11-23T01:37:55.0939608Z } 2022-11-23T01:37:55.0939698Z ''') 2022-11-23T01:37:55.0939705Z 2022-11-23T01:37:55.0939709Z 2022-11-23T01:37:55.0939801Z async_compile.wait(globals()) 2022-11-23T01:37:55.0939875Z del async_compile 2022-11-23T01:37:55.0939880Z 2022-11-23T01:37:55.0939950Z def call(args): 2022-11-23T01:37:55.0940020Z arg0_1, = args 2022-11-23T01:37:55.0940081Z args.clear() 2022-11-23T01:37:55.0940301Z buf0 = empty_strided((2, 4, 7, 7), (196, 49, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0940513Z buf1 = empty_strided((2, 4, 7, 7), (196, 49, 7, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.0940679Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:55.0940747Z del arg0_1 2022-11-23T01:37:55.0940824Z return (buf0, buf1, ) 2022-11-23T01:37:55.0940829Z 2022-11-23T01:37:55.0940833Z 2022-11-23T01:37:55.0940909Z if __name__ == "__main__": 2022-11-23T01:37:55.0941025Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0941136Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0941358Z arg0_1 = rand_strided((2, 4, 16, 16), (1024, 256, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0941465Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.0941470Z 2022-11-23T01:37:55.0941540Z ok (1.563s) 2022-11-23T01:37:55.0941857Z test_max_pool2d2_cpu (__main__.CpuTests) ... [2022-11-23 01:33:31,277] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0942133Z [2022-11-23 01:33:31,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0942355Z [2022-11-23 01:33:31,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0942613Z [2022-11-23 01:33:31,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.0942909Z [2022-11-23 01:33:31,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.0943240Z [2022-11-23 01:33:31,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0943621Z [2022-11-23 01:33:31,278] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.0943722Z 1962 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.0943840Z 2 LOAD_METHOD 1 (max_pool2d_with_indices) 2022-11-23T01:37:55.0943932Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:55.0944022Z 6 LOAD_CONST 1 (3) 2022-11-23T01:37:55.0944109Z 8 LOAD_CONST 1 (3) 2022-11-23T01:37:55.0944198Z 10 BUILD_LIST 2 2022-11-23T01:37:55.0944310Z 12 LOAD_CONST 2 (2) 2022-11-23T01:37:55.0944400Z 14 LOAD_CONST 2 (2) 2022-11-23T01:37:55.0944487Z 16 BUILD_LIST 2 2022-11-23T01:37:55.0944574Z 18 CALL_METHOD 3 2022-11-23T01:37:55.0944651Z 20 RETURN_VALUE 2022-11-23T01:37:55.0944711Z 2022-11-23T01:37:55.0944716Z 2022-11-23T01:37:55.0944993Z [2022-11-23 01:33:31,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1962 2022-11-23T01:37:55.0945214Z [2022-11-23 01:33:31,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.0945535Z [2022-11-23 01:33:31,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable()] 2022-11-23T01:37:55.0945817Z [2022-11-23 01:33:31,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)] 2022-11-23T01:37:55.0946131Z [2022-11-23 01:33:31,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()] 2022-11-23T01:37:55.0946477Z [2022-11-23 01:33:31,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.0946866Z [2022-11-23 01:33:31,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.0947201Z [2022-11-23 01:33:31,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.0947570Z [2022-11-23 01:33:31,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.0947987Z [2022-11-23 01:33:31,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.0948443Z [2022-11-23 01:33:31,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:55.0948698Z [2022-11-23 01:33:31,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.0949033Z [2022-11-23 01:33:31,286] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.0949281Z [2022-11-23 01:33:31,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.0949506Z [2022-11-23 01:33:31,286] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0949765Z [2022-11-23 01:33:31,288] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0950021Z [2022-11-23 01:33:31,291] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0950250Z [2022-11-23 01:33:31,291] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0950393Z __compiled_fn_308 .2665 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0950485Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0950643Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [3, 3], [2, 2]), {} 2022-11-23T01:37:55.0950871Z call_function, getitem, , (max_pool2d_with_indices, 0), {} 2022-11-23T01:37:55.0951082Z call_function, getitem_1, , (max_pool2d_with_indices, 1), {} 2022-11-23T01:37:55.0951198Z output, output, output, ((getitem, getitem_1),), {} 2022-11-23T01:37:55.0951234Z 2022-11-23T01:37:55.0951518Z [2022-11-23 01:33:31,292] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0951612Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0951702Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0951796Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0951889Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0951966Z 8 RETURN_VALUE 2022-11-23T01:37:55.0951971Z 2022-11-23T01:37:55.0952019Z 2022-11-23T01:37:55.0952291Z [2022-11-23 01:33:31,292] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0952400Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_308) 2022-11-23T01:37:55.0952491Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0952582Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0952660Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0952747Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0952850Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.0952938Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.0953024Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0953109Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.0953210Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.0953296Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.0953358Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.0953445Z 24 BUILD_TUPLE 2 2022-11-23T01:37:55.0953518Z 26 RETURN_VALUE 2022-11-23T01:37:55.0953523Z 2022-11-23T01:37:55.0953581Z 2022-11-23T01:37:55.0953766Z [2022-11-23 01:33:31,293] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0953838Z - 2022-11-23T01:37:55.0953958Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0954013Z { 2022-11-23T01:37:55.0954156Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0954345Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0954467Z 'obj_weakref': None 2022-11-23T01:37:55.0954697Z 'guarded_class': 2022-11-23T01:37:55.0954761Z } 2022-11-23T01:37:55.0954823Z 2022-11-23T01:37:55.0954880Z - 2022-11-23T01:37:55.0955006Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0955072Z { 2022-11-23T01:37:55.0955216Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0955324Z 'code': None, 2022-11-23T01:37:55.0955539Z 'obj_weakref': 2022-11-23T01:37:55.0955795Z 'guarded_class': 2022-11-23T01:37:55.0955860Z } 2022-11-23T01:37:55.0955911Z 2022-11-23T01:37:55.0955982Z - 2022-11-23T01:37:55.0956114Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.0956180Z { 2022-11-23T01:37:55.0956319Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0956525Z 'code': ['___check_obj_id(model, 140538740103360)'], 2022-11-23T01:37:55.0956637Z 'obj_weakref': None 2022-11-23T01:37:55.0956874Z 'guarded_class': 2022-11-23T01:37:55.0956942Z } 2022-11-23T01:37:55.0957008Z 2022-11-23T01:37:55.0957079Z - 2022-11-23T01:37:55.0957208Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0957273Z { 2022-11-23T01:37:55.0957399Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0957620Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0957775Z 'obj_weakref': None 2022-11-23T01:37:55.0958002Z 'guarded_class': 2022-11-23T01:37:55.0958068Z } 2022-11-23T01:37:55.0958132Z 2022-11-23T01:37:55.0958204Z - 2022-11-23T01:37:55.0958328Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.0958394Z { 2022-11-23T01:37:55.0958518Z 'guard_types': None, 2022-11-23T01:37:55.0958629Z 'code': None, 2022-11-23T01:37:55.0958749Z 'obj_weakref': None 2022-11-23T01:37:55.0958873Z 'guarded_class': None 2022-11-23T01:37:55.0958936Z } 2022-11-23T01:37:55.0958986Z 2022-11-23T01:37:55.0959249Z [2022-11-23 01:33:31,298] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 301 2022-11-23T01:37:55.0959627Z [2022-11-23 01:33:32,972] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dn/cdnlywryd5aoxkoa5icyneswzc2vbos2g4dxoyecefxdflsvkpib.py 2022-11-23T01:37:55.0959898Z [2022-11-23 01:33:32,973] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 301 2022-11-23T01:37:55.0959904Z 2022-11-23T01:37:55.0960000Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0960070Z import torch 2022-11-23T01:37:55.0960142Z import random 2022-11-23T01:37:55.0960260Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0960368Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0960373Z 2022-11-23T01:37:55.0960453Z aten = torch.ops.aten 2022-11-23T01:37:55.0960590Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0960685Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0960690Z 2022-11-23T01:37:55.0960694Z 2022-11-23T01:37:55.0960833Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.0961040Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.0961164Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.0961265Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.0961347Z long* __restrict__ out_ptr1) 2022-11-23T01:37:55.0961410Z { 2022-11-23T01:37:55.0961488Z #pragma GCC ivdep 2022-11-23T01:37:55.0961573Z for(long i0=0; i0<1024; i0+=1) 2022-11-23T01:37:55.0961639Z { 2022-11-23T01:37:55.0961719Z #pragma GCC ivdep 2022-11-23T01:37:55.0961803Z for(long i1=0; i1<27; i1+=1) 2022-11-23T01:37:55.0961853Z { 2022-11-23T01:37:55.0961933Z #pragma GCC ivdep 2022-11-23T01:37:55.0962020Z for(long i2=0; i2<27; i2+=1) 2022-11-23T01:37:55.0962086Z { 2022-11-23T01:37:55.0962148Z { 2022-11-23T01:37:55.0962214Z { 2022-11-23T01:37:55.0962326Z auto tmp0 = in_ptr0[(2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:37:55.0962431Z auto tmp2 = in_ptr0[1 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:37:55.0962544Z auto tmp7 = in_ptr0[2 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:37:55.0962660Z auto tmp12 = in_ptr0[55 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:37:55.0962802Z auto tmp17 = in_ptr0[56 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:37:55.0962914Z auto tmp22 = in_ptr0[57 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:37:55.0963025Z auto tmp27 = in_ptr0[110 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:37:55.0963136Z auto tmp32 = in_ptr0[111 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:37:55.0963242Z auto tmp37 = in_ptr0[112 + (2*i2) + (110*i1) + (3025*i0)]; 2022-11-23T01:37:55.0963343Z auto tmp1 = static_cast((2*i2) + (110*i1)); 2022-11-23T01:37:55.0963459Z auto tmp3 = static_cast(1 + (2*i2) + (110*i1)); 2022-11-23T01:37:55.0963583Z auto tmp4 = tmp2 > tmp0; 2022-11-23T01:37:55.0963683Z auto tmp5 = tmp4 ? tmp3 : tmp1; 2022-11-23T01:37:55.0963798Z auto tmp6 = std::max(tmp2, tmp0); 2022-11-23T01:37:55.0963913Z auto tmp8 = static_cast(2 + (2*i2) + (110*i1)); 2022-11-23T01:37:55.0964006Z auto tmp9 = tmp7 > tmp6; 2022-11-23T01:37:55.0964095Z auto tmp10 = tmp9 ? tmp8 : tmp5; 2022-11-23T01:37:55.0964201Z auto tmp11 = std::max(tmp7, tmp6); 2022-11-23T01:37:55.0964316Z auto tmp13 = static_cast(55 + (2*i2) + (110*i1)); 2022-11-23T01:37:55.0964409Z auto tmp14 = tmp12 > tmp11; 2022-11-23T01:37:55.0964514Z auto tmp15 = tmp14 ? tmp13 : tmp10; 2022-11-23T01:37:55.0964626Z auto tmp16 = std::max(tmp12, tmp11); 2022-11-23T01:37:55.0964745Z auto tmp18 = static_cast(56 + (2*i2) + (110*i1)); 2022-11-23T01:37:55.0964842Z auto tmp19 = tmp17 > tmp16; 2022-11-23T01:37:55.0964931Z auto tmp20 = tmp19 ? tmp18 : tmp15; 2022-11-23T01:37:55.0965038Z auto tmp21 = std::max(tmp17, tmp16); 2022-11-23T01:37:55.0965154Z auto tmp23 = static_cast(57 + (2*i2) + (110*i1)); 2022-11-23T01:37:55.0965247Z auto tmp24 = tmp22 > tmp21; 2022-11-23T01:37:55.0965348Z auto tmp25 = tmp24 ? tmp23 : tmp20; 2022-11-23T01:37:55.0965456Z auto tmp26 = std::max(tmp22, tmp21); 2022-11-23T01:37:55.0965574Z auto tmp28 = static_cast(110 + (2*i2) + (110*i1)); 2022-11-23T01:37:55.0965667Z auto tmp29 = tmp27 > tmp26; 2022-11-23T01:37:55.0965756Z auto tmp30 = tmp29 ? tmp28 : tmp25; 2022-11-23T01:37:55.0965863Z auto tmp31 = std::max(tmp27, tmp26); 2022-11-23T01:37:55.0965980Z auto tmp33 = static_cast(111 + (2*i2) + (110*i1)); 2022-11-23T01:37:55.0966073Z auto tmp34 = tmp32 > tmp31; 2022-11-23T01:37:55.0966175Z auto tmp35 = tmp34 ? tmp33 : tmp30; 2022-11-23T01:37:55.0966282Z auto tmp36 = std::max(tmp32, tmp31); 2022-11-23T01:37:55.0966398Z auto tmp38 = static_cast(112 + (2*i2) + (110*i1)); 2022-11-23T01:37:55.0966492Z auto tmp39 = tmp37 > tmp36; 2022-11-23T01:37:55.0966583Z auto tmp40 = tmp39 ? tmp38 : tmp35; 2022-11-23T01:37:55.0966690Z auto tmp41 = std::max(tmp37, tmp36); 2022-11-23T01:37:55.0966790Z out_ptr0[i2 + (27*i1) + (729*i0)] = tmp41; 2022-11-23T01:37:55.0966889Z out_ptr1[i2 + (27*i1) + (729*i0)] = tmp40; 2022-11-23T01:37:55.0966957Z } 2022-11-23T01:37:55.0967020Z } 2022-11-23T01:37:55.0967082Z } 2022-11-23T01:37:55.0967130Z } 2022-11-23T01:37:55.0967190Z } 2022-11-23T01:37:55.0967250Z } 2022-11-23T01:37:55.0967332Z ''') 2022-11-23T01:37:55.0967337Z 2022-11-23T01:37:55.0967341Z 2022-11-23T01:37:55.0967459Z async_compile.wait(globals()) 2022-11-23T01:37:55.0967532Z del async_compile 2022-11-23T01:37:55.0967536Z 2022-11-23T01:37:55.0967604Z def call(args): 2022-11-23T01:37:55.0967660Z arg0_1, = args 2022-11-23T01:37:55.0967730Z args.clear() 2022-11-23T01:37:55.0967958Z buf0 = empty_strided((16, 64, 27, 27), (46656, 729, 27, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0968182Z buf1 = empty_strided((16, 64, 27, 27), (46656, 729, 27, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.0968346Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:55.0968453Z del arg0_1 2022-11-23T01:37:55.0968528Z return (buf0, buf1, ) 2022-11-23T01:37:55.0968533Z 2022-11-23T01:37:55.0968537Z 2022-11-23T01:37:55.0968612Z if __name__ == "__main__": 2022-11-23T01:37:55.0968714Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.0968836Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.0969067Z arg0_1 = rand_strided((16, 64, 55, 55), (193600, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.0969176Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.0969181Z 2022-11-23T01:37:55.0969246Z ok (1.790s) 2022-11-23T01:37:55.0969560Z test_max_pool2d3_cpu (__main__.CpuTests) ... [2022-11-23 01:33:33,013] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.0969830Z [2022-11-23 01:33:33,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.0970053Z [2022-11-23 01:33:33,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.0970314Z [2022-11-23 01:33:33,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.0970592Z [2022-11-23 01:33:33,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.0970921Z [2022-11-23 01:33:33,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.0971254Z [2022-11-23 01:33:33,014] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.0971348Z 1972 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.0971464Z 2 LOAD_METHOD 1 (max_pool2d_with_indices) 2022-11-23T01:37:55.0971554Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:55.0971646Z 6 LOAD_CONST 1 (3) 2022-11-23T01:37:55.0971734Z 8 LOAD_CONST 1 (3) 2022-11-23T01:37:55.0971810Z 10 BUILD_LIST 2 2022-11-23T01:37:55.0971897Z 12 LOAD_CONST 2 (2) 2022-11-23T01:37:55.0971981Z 14 LOAD_CONST 2 (2) 2022-11-23T01:37:55.0972069Z 16 BUILD_LIST 2 2022-11-23T01:37:55.0972154Z 18 LOAD_CONST 3 (1) 2022-11-23T01:37:55.0972238Z 20 LOAD_CONST 3 (1) 2022-11-23T01:37:55.0972328Z 22 BUILD_LIST 2 2022-11-23T01:37:55.0972404Z 24 CALL_METHOD 4 2022-11-23T01:37:55.0972481Z 26 RETURN_VALUE 2022-11-23T01:37:55.0972543Z 2022-11-23T01:37:55.0972548Z 2022-11-23T01:37:55.0972825Z [2022-11-23 01:33:33,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1972 2022-11-23T01:37:55.0973045Z [2022-11-23 01:33:33,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.0973382Z [2022-11-23 01:33:33,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable()] 2022-11-23T01:37:55.0973693Z [2022-11-23 01:33:33,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)] 2022-11-23T01:37:55.0974009Z [2022-11-23 01:33:33,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()] 2022-11-23T01:37:55.0974356Z [2022-11-23 01:33:33,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.0974749Z [2022-11-23 01:33:33,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.0975104Z [2022-11-23 01:33:33,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.0975474Z [2022-11-23 01:33:33,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.0975885Z [2022-11-23 01:33:33,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.0976240Z [2022-11-23 01:33:33,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:55.0976631Z [2022-11-23 01:33:33,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.0977070Z [2022-11-23 01:33:33,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.0977460Z [2022-11-23 01:33:33,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:55.0977712Z [2022-11-23 01:33:33,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.0978044Z [2022-11-23 01:33:33,023] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.0978289Z [2022-11-23 01:33:33,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.0978528Z [2022-11-23 01:33:33,023] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.0979003Z [2022-11-23 01:33:33,024] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.0979275Z [2022-11-23 01:33:33,028] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.0979469Z [2022-11-23 01:33:33,028] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.0979605Z __compiled_fn_309 .2671 opcode, name, target, args, kwargs 2022-11-23T01:37:55.0979696Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.0979856Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [3, 3], [2, 2], [1, 1]), {} 2022-11-23T01:37:55.0980080Z call_function, getitem, , (max_pool2d_with_indices, 0), {} 2022-11-23T01:37:55.0980305Z call_function, getitem_1, , (max_pool2d_with_indices, 1), {} 2022-11-23T01:37:55.0980424Z output, output, output, ((getitem, getitem_1),), {} 2022-11-23T01:37:55.0980429Z 2022-11-23T01:37:55.0980710Z [2022-11-23 01:33:33,028] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0980791Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.0980943Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0981039Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.0981129Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.0981207Z 8 RETURN_VALUE 2022-11-23T01:37:55.0981213Z 2022-11-23T01:37:55.0981273Z 2022-11-23T01:37:55.0981550Z [2022-11-23 01:33:33,029] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.0981647Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_309) 2022-11-23T01:37:55.0981793Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.0981883Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0981959Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.0982047Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.0982150Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.0982252Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.0982342Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.0982404Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.0982503Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.0982589Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.0982661Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.0982747Z 24 BUILD_TUPLE 2 2022-11-23T01:37:55.0982821Z 26 RETURN_VALUE 2022-11-23T01:37:55.0982826Z 2022-11-23T01:37:55.0982885Z 2022-11-23T01:37:55.0983058Z [2022-11-23 01:33:33,029] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.0983134Z - 2022-11-23T01:37:55.0983254Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.0983319Z { 2022-11-23T01:37:55.0983462Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.0983651Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.0983776Z 'obj_weakref': None 2022-11-23T01:37:55.0983988Z 'guarded_class': 2022-11-23T01:37:55.0984053Z } 2022-11-23T01:37:55.0984117Z 2022-11-23T01:37:55.0984188Z - 2022-11-23T01:37:55.0984312Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.0984375Z { 2022-11-23T01:37:55.0984516Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.0984611Z 'code': None, 2022-11-23T01:37:55.0984827Z 'obj_weakref': 2022-11-23T01:37:55.0985086Z 'guarded_class': 2022-11-23T01:37:55.0985151Z } 2022-11-23T01:37:55.0985214Z 2022-11-23T01:37:55.0985284Z - 2022-11-23T01:37:55.0985416Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.0985468Z { 2022-11-23T01:37:55.0985603Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.0985774Z 'code': ['___check_obj_id(model, 140538742057008)'], 2022-11-23T01:37:55.0985894Z 'obj_weakref': None 2022-11-23T01:37:55.0986132Z 'guarded_class': 2022-11-23T01:37:55.0986195Z } 2022-11-23T01:37:55.0986256Z 2022-11-23T01:37:55.0986313Z - 2022-11-23T01:37:55.0986435Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.0986496Z { 2022-11-23T01:37:55.0986636Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.0986855Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.0986975Z 'obj_weakref': None 2022-11-23T01:37:55.0987197Z 'guarded_class': 2022-11-23T01:37:55.0987288Z } 2022-11-23T01:37:55.0987352Z 2022-11-23T01:37:55.0987422Z - 2022-11-23T01:37:55.0987554Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.0987617Z { 2022-11-23T01:37:55.0987740Z 'guard_types': None, 2022-11-23T01:37:55.0987848Z 'code': None, 2022-11-23T01:37:55.0987955Z 'obj_weakref': None 2022-11-23T01:37:55.0988075Z 'guarded_class': None 2022-11-23T01:37:55.0988224Z } 2022-11-23T01:37:55.0988291Z 2022-11-23T01:37:55.0988557Z [2022-11-23 01:33:33,035] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 302 2022-11-23T01:37:55.0988600Z 2022-11-23T01:37:55.0988697Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.0988766Z import torch 2022-11-23T01:37:55.0988821Z import random 2022-11-23T01:37:55.0988934Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.0989057Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.0989062Z 2022-11-23T01:37:55.0989139Z aten = torch.ops.aten 2022-11-23T01:37:55.0989272Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.0989363Z async_compile = AsyncCompile() 2022-11-23T01:37:55.0989369Z 2022-11-23T01:37:55.0989373Z 2022-11-23T01:37:55.0989509Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.0989714Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.0989820Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.0989918Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.0990015Z long* __restrict__ out_ptr1) 2022-11-23T01:37:55.0990075Z { 2022-11-23T01:37:55.0990151Z #pragma GCC ivdep 2022-11-23T01:37:55.0990230Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:55.0990290Z { 2022-11-23T01:37:55.0990354Z #pragma GCC ivdep 2022-11-23T01:37:55.0990437Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:37:55.0990500Z { 2022-11-23T01:37:55.0990561Z { 2022-11-23T01:37:55.0990625Z { 2022-11-23T01:37:55.0990795Z auto tmp0 = static_cast((-1) + (2*i0)); 2022-11-23T01:37:55.0990885Z auto tmp1 = static_cast(0); 2022-11-23T01:37:55.0990977Z auto tmp2 = tmp0 >= tmp1; 2022-11-23T01:37:55.0991077Z auto tmp3 = static_cast(8); 2022-11-23T01:37:55.0991166Z auto tmp4 = tmp0 < tmp3; 2022-11-23T01:37:55.0991253Z auto tmp5 = tmp2 & tmp4; 2022-11-23T01:37:55.0991424Z auto tmp6 = static_cast((-1) + (2*i1)); 2022-11-23T01:37:55.0991516Z auto tmp7 = tmp6 >= tmp1; 2022-11-23T01:37:55.0991604Z auto tmp8 = tmp6 < tmp3; 2022-11-23T01:37:55.0991680Z auto tmp9 = tmp7 & tmp8; 2022-11-23T01:37:55.0991769Z auto tmp10 = tmp5 & tmp9; 2022-11-23T01:37:55.0992025Z float tmp11 = -std::numeric_limits::infinity(); 2022-11-23T01:37:55.0992098Z if(tmp10) 2022-11-23T01:37:55.0992163Z { 2022-11-23T01:37:55.0992337Z auto tmp12 = in_ptr0[(-9) + (2*i1) + (16*i0)]; 2022-11-23T01:37:55.0992416Z tmp11 = tmp12; 2022-11-23T01:37:55.0992471Z } 2022-11-23T01:37:55.0992654Z auto tmp13 = static_cast((-9) + (2*i1) + (16*i0)); 2022-11-23T01:37:55.0992759Z auto tmp14 = static_cast(2*i1); 2022-11-23T01:37:55.0992854Z auto tmp15 = tmp14 >= tmp1; 2022-11-23T01:37:55.0992945Z auto tmp16 = tmp14 < tmp3; 2022-11-23T01:37:55.0993035Z auto tmp17 = tmp15 & tmp16; 2022-11-23T01:37:55.0993125Z auto tmp18 = tmp5 & tmp17; 2022-11-23T01:37:55.0993367Z float tmp19 = -std::numeric_limits::infinity(); 2022-11-23T01:37:55.0993445Z if(tmp18) 2022-11-23T01:37:55.0993511Z { 2022-11-23T01:37:55.0993683Z auto tmp20 = in_ptr0[(-8) + (2*i1) + (16*i0)]; 2022-11-23T01:37:55.0993765Z tmp19 = tmp20; 2022-11-23T01:37:55.0993830Z } 2022-11-23T01:37:55.0994012Z auto tmp21 = static_cast((-8) + (2*i1) + (16*i0)); 2022-11-23T01:37:55.0994104Z auto tmp22 = tmp19 > tmp11; 2022-11-23T01:37:55.0994191Z auto tmp23 = tmp22 ? tmp21 : tmp13; 2022-11-23T01:37:55.0994330Z auto tmp24 = std::max(tmp19, tmp11); 2022-11-23T01:37:55.0994439Z auto tmp25 = static_cast(1 + (2*i1)); 2022-11-23T01:37:55.0994534Z auto tmp26 = tmp25 >= tmp1; 2022-11-23T01:37:55.0994627Z auto tmp27 = tmp25 < tmp3; 2022-11-23T01:37:55.0994720Z auto tmp28 = tmp26 & tmp27; 2022-11-23T01:37:55.0994817Z auto tmp29 = tmp5 & tmp28; 2022-11-23T01:37:55.0995022Z float tmp30 = -std::numeric_limits::infinity(); 2022-11-23T01:37:55.0995098Z if(tmp29) 2022-11-23T01:37:55.0995165Z { 2022-11-23T01:37:55.0995338Z auto tmp31 = in_ptr0[(-7) + (2*i1) + (16*i0)]; 2022-11-23T01:37:55.0995420Z tmp30 = tmp31; 2022-11-23T01:37:55.0995488Z } 2022-11-23T01:37:55.0995672Z auto tmp32 = static_cast((-7) + (2*i1) + (16*i0)); 2022-11-23T01:37:55.0995755Z auto tmp33 = tmp30 > tmp24; 2022-11-23T01:37:55.0995857Z auto tmp34 = tmp33 ? tmp32 : tmp23; 2022-11-23T01:37:55.0995965Z auto tmp35 = std::max(tmp30, tmp24); 2022-11-23T01:37:55.0996074Z auto tmp36 = static_cast(2*i0); 2022-11-23T01:37:55.0996168Z auto tmp37 = tmp36 >= tmp1; 2022-11-23T01:37:55.0996266Z auto tmp38 = tmp36 < tmp3; 2022-11-23T01:37:55.0996358Z auto tmp39 = tmp37 & tmp38; 2022-11-23T01:37:55.0996450Z auto tmp40 = tmp39 & tmp9; 2022-11-23T01:37:55.0996654Z float tmp41 = -std::numeric_limits::infinity(); 2022-11-23T01:37:55.0996731Z if(tmp40) 2022-11-23T01:37:55.0996797Z { 2022-11-23T01:37:55.0996969Z auto tmp42 = in_ptr0[(-1) + (2*i1) + (16*i0)]; 2022-11-23T01:37:55.0997052Z tmp41 = tmp42; 2022-11-23T01:37:55.0997123Z } 2022-11-23T01:37:55.0997308Z auto tmp43 = static_cast((-1) + (2*i1) + (16*i0)); 2022-11-23T01:37:55.0997387Z auto tmp44 = tmp41 > tmp35; 2022-11-23T01:37:55.0997488Z auto tmp45 = tmp44 ? tmp43 : tmp34; 2022-11-23T01:37:55.0997598Z auto tmp46 = std::max(tmp41, tmp35); 2022-11-23T01:37:55.0997695Z auto tmp47 = tmp39 & tmp17; 2022-11-23T01:37:55.0997911Z float tmp48 = -std::numeric_limits::infinity(); 2022-11-23T01:37:55.0997986Z if(tmp47) 2022-11-23T01:37:55.0998055Z { 2022-11-23T01:37:55.0998148Z auto tmp49 = in_ptr0[(2*i1) + (16*i0)]; 2022-11-23T01:37:55.0998231Z tmp48 = tmp49; 2022-11-23T01:37:55.0998297Z } 2022-11-23T01:37:55.0998413Z auto tmp50 = static_cast((2*i1) + (16*i0)); 2022-11-23T01:37:55.0998509Z auto tmp51 = tmp48 > tmp46; 2022-11-23T01:37:55.0998610Z auto tmp52 = tmp51 ? tmp50 : tmp45; 2022-11-23T01:37:55.0998718Z auto tmp53 = std::max(tmp48, tmp46); 2022-11-23T01:37:55.0998813Z auto tmp54 = tmp39 & tmp28; 2022-11-23T01:37:55.0999014Z float tmp55 = -std::numeric_limits::infinity(); 2022-11-23T01:37:55.0999127Z if(tmp54) 2022-11-23T01:37:55.0999197Z { 2022-11-23T01:37:55.0999301Z auto tmp56 = in_ptr0[1 + (2*i1) + (16*i0)]; 2022-11-23T01:37:55.0999383Z tmp55 = tmp56; 2022-11-23T01:37:55.0999449Z } 2022-11-23T01:37:55.0999564Z auto tmp57 = static_cast(1 + (2*i1) + (16*i0)); 2022-11-23T01:37:55.0999645Z auto tmp58 = tmp55 > tmp53; 2022-11-23T01:37:55.0999746Z auto tmp59 = tmp58 ? tmp57 : tmp52; 2022-11-23T01:37:55.0999854Z auto tmp60 = std::max(tmp55, tmp53); 2022-11-23T01:37:55.0999995Z auto tmp61 = static_cast(1 + (2*i0)); 2022-11-23T01:37:55.1000090Z auto tmp62 = tmp61 >= tmp1; 2022-11-23T01:37:55.1000181Z auto tmp63 = tmp61 < tmp3; 2022-11-23T01:37:55.1000271Z auto tmp64 = tmp62 & tmp63; 2022-11-23T01:37:55.1000352Z auto tmp65 = tmp64 & tmp9; 2022-11-23T01:37:55.1000569Z float tmp66 = -std::numeric_limits::infinity(); 2022-11-23T01:37:55.1000643Z if(tmp65) 2022-11-23T01:37:55.1000710Z { 2022-11-23T01:37:55.1000813Z auto tmp67 = in_ptr0[7 + (2*i1) + (16*i0)]; 2022-11-23T01:37:55.1000890Z tmp66 = tmp67; 2022-11-23T01:37:55.1000961Z } 2022-11-23T01:37:55.1001076Z auto tmp68 = static_cast(7 + (2*i1) + (16*i0)); 2022-11-23T01:37:55.1001156Z auto tmp69 = tmp66 > tmp60; 2022-11-23T01:37:55.1001256Z auto tmp70 = tmp69 ? tmp68 : tmp59; 2022-11-23T01:37:55.1001362Z auto tmp71 = std::max(tmp66, tmp60); 2022-11-23T01:37:55.1001452Z auto tmp72 = tmp64 & tmp17; 2022-11-23T01:37:55.1001665Z float tmp73 = -std::numeric_limits::infinity(); 2022-11-23T01:37:55.1001742Z if(tmp72) 2022-11-23T01:37:55.1001806Z { 2022-11-23T01:37:55.1001898Z auto tmp74 = in_ptr0[8 + (2*i1) + (16*i0)]; 2022-11-23T01:37:55.1001976Z tmp73 = tmp74; 2022-11-23T01:37:55.1002042Z } 2022-11-23T01:37:55.1002156Z auto tmp75 = static_cast(8 + (2*i1) + (16*i0)); 2022-11-23T01:37:55.1002247Z auto tmp76 = tmp73 > tmp71; 2022-11-23T01:37:55.1002345Z auto tmp77 = tmp76 ? tmp75 : tmp70; 2022-11-23T01:37:55.1002451Z auto tmp78 = std::max(tmp73, tmp71); 2022-11-23T01:37:55.1002544Z auto tmp79 = tmp64 & tmp28; 2022-11-23T01:37:55.1002745Z float tmp80 = -std::numeric_limits::infinity(); 2022-11-23T01:37:55.1002821Z if(tmp79) 2022-11-23T01:37:55.1002885Z { 2022-11-23T01:37:55.1002990Z auto tmp81 = in_ptr0[9 + (2*i1) + (16*i0)]; 2022-11-23T01:37:55.1003067Z tmp80 = tmp81; 2022-11-23T01:37:55.1003132Z } 2022-11-23T01:37:55.1003242Z auto tmp82 = static_cast(9 + (2*i1) + (16*i0)); 2022-11-23T01:37:55.1003321Z auto tmp83 = tmp80 > tmp78; 2022-11-23T01:37:55.1003418Z auto tmp84 = tmp83 ? tmp82 : tmp77; 2022-11-23T01:37:55.1003525Z auto tmp85 = std::max(tmp80, tmp78); 2022-11-23T01:37:55.1003739Z float tmp86 = -std::numeric_limits::infinity(); 2022-11-23T01:37:55.1003813Z if(tmp10) 2022-11-23T01:37:55.1003878Z { 2022-11-23T01:37:55.1004049Z auto tmp87 = in_ptr0[(-9) + (2*i1) + (16*i0)]; 2022-11-23T01:37:55.1004115Z tmp86 = tmp87; 2022-11-23T01:37:55.1004180Z } 2022-11-23T01:37:55.1004424Z float tmp88 = -std::numeric_limits::infinity(); 2022-11-23T01:37:55.1004501Z if(tmp18) 2022-11-23T01:37:55.1004565Z { 2022-11-23T01:37:55.1004737Z auto tmp89 = in_ptr0[(-8) + (2*i1) + (16*i0)]; 2022-11-23T01:37:55.1004813Z tmp88 = tmp89; 2022-11-23T01:37:55.1004877Z } 2022-11-23T01:37:55.1004958Z auto tmp90 = tmp88 > tmp86; 2022-11-23T01:37:55.1005056Z auto tmp91 = tmp90 ? tmp21 : tmp13; 2022-11-23T01:37:55.1005161Z auto tmp92 = std::max(tmp88, tmp86); 2022-11-23T01:37:55.1005373Z float tmp93 = -std::numeric_limits::infinity(); 2022-11-23T01:37:55.1005477Z if(tmp29) 2022-11-23T01:37:55.1005541Z { 2022-11-23T01:37:55.1005714Z auto tmp94 = in_ptr0[(-7) + (2*i1) + (16*i0)]; 2022-11-23T01:37:55.1005781Z tmp93 = tmp94; 2022-11-23T01:37:55.1005847Z } 2022-11-23T01:37:55.1005939Z auto tmp95 = tmp93 > tmp92; 2022-11-23T01:37:55.1006039Z auto tmp96 = tmp95 ? tmp32 : tmp91; 2022-11-23T01:37:55.1006143Z auto tmp97 = std::max(tmp93, tmp92); 2022-11-23T01:37:55.1006356Z float tmp98 = -std::numeric_limits::infinity(); 2022-11-23T01:37:55.1006428Z if(tmp40) 2022-11-23T01:37:55.1006480Z { 2022-11-23T01:37:55.1006652Z auto tmp99 = in_ptr0[(-1) + (2*i1) + (16*i0)]; 2022-11-23T01:37:55.1006730Z tmp98 = tmp99; 2022-11-23T01:37:55.1006796Z } 2022-11-23T01:37:55.1006890Z auto tmp100 = tmp98 > tmp97; 2022-11-23T01:37:55.1006990Z auto tmp101 = tmp100 ? tmp43 : tmp96; 2022-11-23T01:37:55.1007097Z auto tmp102 = std::max(tmp98, tmp97); 2022-11-23T01:37:55.1007314Z float tmp103 = -std::numeric_limits::infinity(); 2022-11-23T01:37:55.1007376Z if(tmp47) 2022-11-23T01:37:55.1007441Z { 2022-11-23T01:37:55.1007546Z auto tmp104 = in_ptr0[(2*i1) + (16*i0)]; 2022-11-23T01:37:55.1007627Z tmp103 = tmp104; 2022-11-23T01:37:55.1007692Z } 2022-11-23T01:37:55.1007783Z auto tmp105 = tmp103 > tmp102; 2022-11-23T01:37:55.1007882Z auto tmp106 = tmp105 ? tmp50 : tmp101; 2022-11-23T01:37:55.1007979Z auto tmp107 = std::max(tmp103, tmp102); 2022-11-23T01:37:55.1008198Z float tmp108 = -std::numeric_limits::infinity(); 2022-11-23T01:37:55.1008272Z if(tmp54) 2022-11-23T01:37:55.1008335Z { 2022-11-23T01:37:55.1008440Z auto tmp109 = in_ptr0[1 + (2*i1) + (16*i0)]; 2022-11-23T01:37:55.1008519Z tmp108 = tmp109; 2022-11-23T01:37:55.1008584Z } 2022-11-23T01:37:55.1008669Z auto tmp110 = tmp108 > tmp107; 2022-11-23T01:37:55.1008770Z auto tmp111 = tmp110 ? tmp57 : tmp106; 2022-11-23T01:37:55.1008878Z auto tmp112 = std::max(tmp108, tmp107); 2022-11-23T01:37:55.1009096Z float tmp113 = -std::numeric_limits::infinity(); 2022-11-23T01:37:55.1009169Z if(tmp65) 2022-11-23T01:37:55.1009233Z { 2022-11-23T01:37:55.1009339Z auto tmp114 = in_ptr0[7 + (2*i1) + (16*i0)]; 2022-11-23T01:37:55.1009417Z tmp113 = tmp114; 2022-11-23T01:37:55.1009474Z } 2022-11-23T01:37:55.1009566Z auto tmp115 = tmp113 > tmp112; 2022-11-23T01:37:55.1009665Z auto tmp116 = tmp115 ? tmp68 : tmp111; 2022-11-23T01:37:55.1009772Z auto tmp117 = std::max(tmp113, tmp112); 2022-11-23T01:37:55.1010053Z float tmp118 = -std::numeric_limits::infinity(); 2022-11-23T01:37:55.1010130Z if(tmp72) 2022-11-23T01:37:55.1010198Z { 2022-11-23T01:37:55.1010291Z auto tmp119 = in_ptr0[8 + (2*i1) + (16*i0)]; 2022-11-23T01:37:55.1010370Z tmp118 = tmp119; 2022-11-23T01:37:55.1010435Z } 2022-11-23T01:37:55.1010528Z auto tmp120 = tmp118 > tmp117; 2022-11-23T01:37:55.1010632Z auto tmp121 = tmp120 ? tmp75 : tmp116; 2022-11-23T01:37:55.1010743Z auto tmp122 = std::max(tmp118, tmp117); 2022-11-23T01:37:55.1010995Z float tmp123 = -std::numeric_limits::infinity(); 2022-11-23T01:37:55.1011069Z if(tmp79) 2022-11-23T01:37:55.1011121Z { 2022-11-23T01:37:55.1011228Z auto tmp124 = in_ptr0[9 + (2*i1) + (16*i0)]; 2022-11-23T01:37:55.1011309Z tmp123 = tmp124; 2022-11-23T01:37:55.1011377Z } 2022-11-23T01:37:55.1011472Z auto tmp125 = tmp123 > tmp122; 2022-11-23T01:37:55.1011574Z auto tmp126 = tmp125 ? tmp82 : tmp121; 2022-11-23T01:37:55.1011682Z auto tmp127 = std::max(tmp123, tmp122); 2022-11-23T01:37:55.1011761Z out_ptr0[i1 + (4*i0)] = tmp85; 2022-11-23T01:37:55.1011854Z out_ptr1[i1 + (4*i0)] = tmp126; 2022-11-23T01:37:55.1011917Z } 2022-11-23T01:37:55.1011979Z } 2022-11-23T01:37:55.1012040Z } 2022-11-23T01:37:55.1012099Z } 2022-11-23T01:37:55.1012163Z } 2022-11-23T01:37:55.1012231Z ''') 2022-11-23T01:37:55.1012236Z 2022-11-23T01:37:55.1012241Z 2022-11-23T01:37:55.1012329Z async_compile.wait(globals()) 2022-11-23T01:37:55.1012398Z del async_compile 2022-11-23T01:37:55.1012403Z 2022-11-23T01:37:55.1012471Z def call(args): 2022-11-23T01:37:55.1012539Z arg0_1, = args 2022-11-23T01:37:55.1012608Z args.clear() 2022-11-23T01:37:55.1012824Z buf0 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1013024Z buf1 = empty_strided((1, 1, 4, 4), (16, 16, 4, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.1013190Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:55.1013257Z del arg0_1 2022-11-23T01:37:55.1013332Z return (buf0, buf1, ) 2022-11-23T01:37:55.1013337Z 2022-11-23T01:37:55.1013341Z 2022-11-23T01:37:55.1013415Z if __name__ == "__main__": 2022-11-23T01:37:55.1013527Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.1013651Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.1013863Z arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1013958Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.1014323Z [2022-11-23 01:33:34,624] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yo/cyoru5ig773a2f62gkaytg7jjdt6qbkyqqsz77nxbs5u4vmstvok.py 2022-11-23T01:37:55.1014597Z [2022-11-23 01:33:34,625] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 302 2022-11-23T01:37:55.1014602Z 2022-11-23T01:37:55.1014668Z ok (1.619s) 2022-11-23T01:37:55.1014981Z test_max_pool2d4_cpu (__main__.CpuTests) ... [2022-11-23 01:33:34,636] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.1015254Z [2022-11-23 01:33:34,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.1015477Z [2022-11-23 01:33:34,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.1015735Z [2022-11-23 01:33:34,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.1016053Z [2022-11-23 01:33:34,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.1016382Z [2022-11-23 01:33:34,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.1016701Z [2022-11-23 01:33:34,636] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.1016796Z 1982 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.1016913Z 2 LOAD_METHOD 1 (max_pool2d_with_indices) 2022-11-23T01:37:55.1017001Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:55.1017122Z 6 LOAD_CONST 1 (3) 2022-11-23T01:37:55.1017209Z 8 LOAD_CONST 1 (3) 2022-11-23T01:37:55.1017296Z 10 BUILD_LIST 2 2022-11-23T01:37:55.1017383Z 12 LOAD_CONST 2 (2) 2022-11-23T01:37:55.1017459Z 14 LOAD_CONST 2 (2) 2022-11-23T01:37:55.1017545Z 16 BUILD_LIST 2 2022-11-23T01:37:55.1017629Z 18 LOAD_CONST 3 (0) 2022-11-23T01:37:55.1017712Z 20 LOAD_CONST 3 (0) 2022-11-23T01:37:55.1017795Z 22 BUILD_LIST 2 2022-11-23T01:37:55.1017881Z 24 LOAD_CONST 4 (1) 2022-11-23T01:37:55.1017964Z 26 LOAD_CONST 4 (1) 2022-11-23T01:37:55.1018036Z 28 BUILD_LIST 2 2022-11-23T01:37:55.1018129Z 30 LOAD_CONST 5 (True) 2022-11-23T01:37:55.1018216Z 32 CALL_METHOD 6 2022-11-23T01:37:55.1018291Z 34 RETURN_VALUE 2022-11-23T01:37:55.1018350Z 2022-11-23T01:37:55.1018355Z 2022-11-23T01:37:55.1018628Z [2022-11-23 01:33:34,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1982 2022-11-23T01:37:55.1019068Z [2022-11-23 01:33:34,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.1019436Z [2022-11-23 01:33:34,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable()] 2022-11-23T01:37:55.1019702Z [2022-11-23 01:33:34,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)] 2022-11-23T01:37:55.1020014Z [2022-11-23 01:33:34,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()] 2022-11-23T01:37:55.1020365Z [2022-11-23 01:33:34,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1020751Z [2022-11-23 01:33:34,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1021086Z [2022-11-23 01:33:34,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.1021454Z [2022-11-23 01:33:34,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1021864Z [2022-11-23 01:33:34,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1022224Z [2022-11-23 01:33:34,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:55.1022678Z [2022-11-23 01:33:34,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1023115Z [2022-11-23 01:33:34,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1023495Z [2022-11-23 01:33:34,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:55.1023911Z [2022-11-23 01:33:34,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1024425Z [2022-11-23 01:33:34,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1024839Z [2022-11-23 01:33:34,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:55.1025278Z [2022-11-23 01:33:34,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 6 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:37:55.1025528Z [2022-11-23 01:33:34,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.1025860Z [2022-11-23 01:33:34,646] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.1026107Z [2022-11-23 01:33:34,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.1026348Z [2022-11-23 01:33:34,646] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.1026604Z [2022-11-23 01:33:34,647] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.1026862Z [2022-11-23 01:33:34,650] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.1027055Z [2022-11-23 01:33:34,651] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.1027193Z __compiled_fn_310 .2677 opcode, name, target, args, kwargs 2022-11-23T01:37:55.1027285Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.1027441Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [3, 3], [2, 2], [0, 0], [1, 1], True), {} 2022-11-23T01:37:55.1027663Z call_function, getitem, , (max_pool2d_with_indices, 0), {} 2022-11-23T01:37:55.1027888Z call_function, getitem_1, , (max_pool2d_with_indices, 1), {} 2022-11-23T01:37:55.1028002Z output, output, output, ((getitem, getitem_1),), {} 2022-11-23T01:37:55.1028008Z 2022-11-23T01:37:55.1028364Z [2022-11-23 01:33:34,651] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.1028459Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.1028549Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1028645Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.1028723Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.1028802Z 8 RETURN_VALUE 2022-11-23T01:37:55.1028808Z 2022-11-23T01:37:55.1028867Z 2022-11-23T01:37:55.1029148Z [2022-11-23 01:33:34,651] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.1029258Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_310) 2022-11-23T01:37:55.1029385Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1029478Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.1029554Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.1029629Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.1029732Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.1029834Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.1029924Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.1029999Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.1030099Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.1030219Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.1030281Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.1030369Z 24 BUILD_TUPLE 2 2022-11-23T01:37:55.1030442Z 26 RETURN_VALUE 2022-11-23T01:37:55.1030447Z 2022-11-23T01:37:55.1030507Z 2022-11-23T01:37:55.1030696Z [2022-11-23 01:33:34,652] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.1030770Z - 2022-11-23T01:37:55.1030889Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.1030941Z { 2022-11-23T01:37:55.1031084Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.1031275Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.1031397Z 'obj_weakref': None 2022-11-23T01:37:55.1031623Z 'guarded_class': 2022-11-23T01:37:55.1031687Z } 2022-11-23T01:37:55.1031752Z 2022-11-23T01:37:55.1031809Z - 2022-11-23T01:37:55.1031936Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.1031998Z { 2022-11-23T01:37:55.1032144Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1032254Z 'code': None, 2022-11-23T01:37:55.1032473Z 'obj_weakref': 2022-11-23T01:37:55.1032730Z 'guarded_class': 2022-11-23T01:37:55.1032781Z } 2022-11-23T01:37:55.1032841Z 2022-11-23T01:37:55.1032911Z - 2022-11-23T01:37:55.1033043Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.1033110Z { 2022-11-23T01:37:55.1033248Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.1033423Z 'code': ['___check_obj_id(model, 140538743261232)'], 2022-11-23T01:37:55.1033532Z 'obj_weakref': None 2022-11-23T01:37:55.1033772Z 'guarded_class': 2022-11-23T01:37:55.1033839Z } 2022-11-23T01:37:55.1033902Z 2022-11-23T01:37:55.1033974Z - 2022-11-23T01:37:55.1034100Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.1034164Z { 2022-11-23T01:37:55.1034291Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.1034514Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.1034638Z 'obj_weakref': None 2022-11-23T01:37:55.1034863Z 'guarded_class': 2022-11-23T01:37:55.1034929Z } 2022-11-23T01:37:55.1034995Z 2022-11-23T01:37:55.1035067Z - 2022-11-23T01:37:55.1035188Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.1035254Z { 2022-11-23T01:37:55.1035383Z 'guard_types': None, 2022-11-23T01:37:55.1035495Z 'code': None, 2022-11-23T01:37:55.1035617Z 'obj_weakref': None 2022-11-23T01:37:55.1035742Z 'guarded_class': None 2022-11-23T01:37:55.1035809Z } 2022-11-23T01:37:55.1035859Z 2022-11-23T01:37:55.1036158Z [2022-11-23 01:33:34,658] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 303 2022-11-23T01:37:55.1036537Z [2022-11-23 01:33:36,202] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bn/cbnkhf3lvn6qdpd27ei2txpkh5tyl6zvlxvs4r6xtgdu6zqst3fo.py 2022-11-23T01:37:55.1036805Z [2022-11-23 01:33:36,202] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 303 2022-11-23T01:37:55.1036811Z 2022-11-23T01:37:55.1036907Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.1036978Z import torch 2022-11-23T01:37:55.1037050Z import random 2022-11-23T01:37:55.1037151Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.1037319Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.1037324Z 2022-11-23T01:37:55.1037405Z aten = torch.ops.aten 2022-11-23T01:37:55.1037540Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.1037635Z async_compile = AsyncCompile() 2022-11-23T01:37:55.1037640Z 2022-11-23T01:37:55.1037644Z 2022-11-23T01:37:55.1037785Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.1037992Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.1038116Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.1038219Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.1038304Z long* __restrict__ out_ptr1) 2022-11-23T01:37:55.1038367Z { 2022-11-23T01:37:55.1038445Z #pragma GCC ivdep 2022-11-23T01:37:55.1038527Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:37:55.1038591Z { 2022-11-23T01:37:55.1038674Z #pragma GCC ivdep 2022-11-23T01:37:55.1038743Z for(long i1=0; i1<55; i1+=1) 2022-11-23T01:37:55.1038807Z { 2022-11-23T01:37:55.1038888Z #pragma GCC ivdep 2022-11-23T01:37:55.1038975Z for(long i2=0; i2<55; i2+=1) 2022-11-23T01:37:55.1039041Z { 2022-11-23T01:37:55.1039109Z { 2022-11-23T01:37:55.1039179Z { 2022-11-23T01:37:55.1039280Z auto tmp0 = in_ptr0[(2*i2) + (222*i1) + (12321*i0)]; 2022-11-23T01:37:55.1039396Z auto tmp2 = in_ptr0[1 + (2*i2) + (222*i1) + (12321*i0)]; 2022-11-23T01:37:55.1039507Z auto tmp7 = in_ptr0[2 + (2*i2) + (222*i1) + (12321*i0)]; 2022-11-23T01:37:55.1039622Z auto tmp12 = in_ptr0[111 + (2*i2) + (222*i1) + (12321*i0)]; 2022-11-23T01:37:55.1039737Z auto tmp17 = in_ptr0[112 + (2*i2) + (222*i1) + (12321*i0)]; 2022-11-23T01:37:55.1039842Z auto tmp22 = in_ptr0[113 + (2*i2) + (222*i1) + (12321*i0)]; 2022-11-23T01:37:55.1039948Z auto tmp27 = in_ptr0[222 + (2*i2) + (222*i1) + (12321*i0)]; 2022-11-23T01:37:55.1040054Z auto tmp32 = in_ptr0[223 + (2*i2) + (222*i1) + (12321*i0)]; 2022-11-23T01:37:55.1040145Z auto tmp37 = in_ptr0[224 + (2*i2) + (222*i1) + (12321*i0)]; 2022-11-23T01:37:55.1040260Z auto tmp1 = static_cast((2*i2) + (222*i1)); 2022-11-23T01:37:55.1040374Z auto tmp3 = static_cast(1 + (2*i2) + (222*i1)); 2022-11-23T01:37:55.1040469Z auto tmp4 = tmp2 > tmp0; 2022-11-23T01:37:55.1040569Z auto tmp5 = tmp4 ? tmp3 : tmp1; 2022-11-23T01:37:55.1040685Z auto tmp6 = std::max(tmp2, tmp0); 2022-11-23T01:37:55.1040800Z auto tmp8 = static_cast(2 + (2*i2) + (222*i1)); 2022-11-23T01:37:55.1040891Z auto tmp9 = tmp7 > tmp6; 2022-11-23T01:37:55.1040982Z auto tmp10 = tmp9 ? tmp8 : tmp5; 2022-11-23T01:37:55.1041089Z auto tmp11 = std::max(tmp7, tmp6); 2022-11-23T01:37:55.1041206Z auto tmp13 = static_cast(111 + (2*i2) + (222*i1)); 2022-11-23T01:37:55.1041300Z auto tmp14 = tmp12 > tmp11; 2022-11-23T01:37:55.1041431Z auto tmp15 = tmp14 ? tmp13 : tmp10; 2022-11-23T01:37:55.1041544Z auto tmp16 = std::max(tmp12, tmp11); 2022-11-23T01:37:55.1041664Z auto tmp18 = static_cast(112 + (2*i2) + (222*i1)); 2022-11-23T01:37:55.1041756Z auto tmp19 = tmp17 > tmp16; 2022-11-23T01:37:55.1041845Z auto tmp20 = tmp19 ? tmp18 : tmp15; 2022-11-23T01:37:55.1041952Z auto tmp21 = std::max(tmp17, tmp16); 2022-11-23T01:37:55.1042066Z auto tmp23 = static_cast(113 + (2*i2) + (222*i1)); 2022-11-23T01:37:55.1042192Z auto tmp24 = tmp22 > tmp21; 2022-11-23T01:37:55.1042295Z auto tmp25 = tmp24 ? tmp23 : tmp20; 2022-11-23T01:37:55.1042403Z auto tmp26 = std::max(tmp22, tmp21); 2022-11-23T01:37:55.1042520Z auto tmp28 = static_cast(222 + (2*i2) + (222*i1)); 2022-11-23T01:37:55.1042616Z auto tmp29 = tmp27 > tmp26; 2022-11-23T01:37:55.1042705Z auto tmp30 = tmp29 ? tmp28 : tmp25; 2022-11-23T01:37:55.1042810Z auto tmp31 = std::max(tmp27, tmp26); 2022-11-23T01:37:55.1042924Z auto tmp33 = static_cast(223 + (2*i2) + (222*i1)); 2022-11-23T01:37:55.1043019Z auto tmp34 = tmp32 > tmp31; 2022-11-23T01:37:55.1043119Z auto tmp35 = tmp34 ? tmp33 : tmp30; 2022-11-23T01:37:55.1043226Z auto tmp36 = std::max(tmp32, tmp31); 2022-11-23T01:37:55.1043345Z auto tmp38 = static_cast(224 + (2*i2) + (222*i1)); 2022-11-23T01:37:55.1043427Z auto tmp39 = tmp37 > tmp36; 2022-11-23T01:37:55.1043526Z auto tmp40 = tmp39 ? tmp38 : tmp35; 2022-11-23T01:37:55.1043631Z auto tmp41 = std::max(tmp37, tmp36); 2022-11-23T01:37:55.1043735Z out_ptr0[i2 + (55*i1) + (3025*i0)] = tmp41; 2022-11-23T01:37:55.1043834Z out_ptr1[i2 + (55*i1) + (3025*i0)] = tmp40; 2022-11-23T01:37:55.1043899Z } 2022-11-23T01:37:55.1043963Z } 2022-11-23T01:37:55.1044023Z } 2022-11-23T01:37:55.1044073Z } 2022-11-23T01:37:55.1044132Z } 2022-11-23T01:37:55.1044191Z } 2022-11-23T01:37:55.1044313Z ''') 2022-11-23T01:37:55.1044323Z 2022-11-23T01:37:55.1044328Z 2022-11-23T01:37:55.1044463Z async_compile.wait(globals()) 2022-11-23T01:37:55.1044581Z del async_compile 2022-11-23T01:37:55.1044592Z 2022-11-23T01:37:55.1044679Z def call(args): 2022-11-23T01:37:55.1044736Z arg0_1, = args 2022-11-23T01:37:55.1044806Z args.clear() 2022-11-23T01:37:55.1045038Z buf0 = empty_strided((2, 8, 55, 55), (24200, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1045263Z buf1 = empty_strided((2, 8, 55, 55), (24200, 3025, 55, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.1045428Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:55.1045498Z del arg0_1 2022-11-23T01:37:55.1045576Z return (buf0, buf1, ) 2022-11-23T01:37:55.1045581Z 2022-11-23T01:37:55.1045585Z 2022-11-23T01:37:55.1045661Z if __name__ == "__main__": 2022-11-23T01:37:55.1045762Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.1045886Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.1046120Z arg0_1 = rand_strided((2, 8, 111, 111), (98568, 12321, 111, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1046234Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.1046239Z 2022-11-23T01:37:55.1046304Z ok (1.580s) 2022-11-23T01:37:55.1046618Z test_max_pool2d5_cpu (__main__.CpuTests) ... [2022-11-23 01:33:36,252] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.1046931Z [2022-11-23 01:33:36,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.1047158Z [2022-11-23 01:33:36,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.1047402Z [2022-11-23 01:33:36,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.1047692Z [2022-11-23 01:33:36,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.1048020Z [2022-11-23 01:33:36,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.1048384Z [2022-11-23 01:33:36,253] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.1048480Z 1991 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.1048597Z 2 LOAD_METHOD 1 (max_pool2d_with_indices) 2022-11-23T01:37:55.1048687Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:55.1048776Z 6 LOAD_CONST 1 (3) 2022-11-23T01:37:55.1048864Z 8 LOAD_CONST 1 (3) 2022-11-23T01:37:55.1048938Z 10 BUILD_LIST 2 2022-11-23T01:37:55.1049022Z 12 BUILD_LIST 0 2022-11-23T01:37:55.1049107Z 14 CALL_METHOD 3 2022-11-23T01:37:55.1049183Z 16 RETURN_VALUE 2022-11-23T01:37:55.1049242Z 2022-11-23T01:37:55.1049248Z 2022-11-23T01:37:55.1049521Z [2022-11-23 01:33:36,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1991 2022-11-23T01:37:55.1049742Z [2022-11-23 01:33:36,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.1050067Z [2022-11-23 01:33:36,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable()] 2022-11-23T01:37:55.1050350Z [2022-11-23 01:33:36,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)] 2022-11-23T01:37:55.1050663Z [2022-11-23 01:33:36,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()] 2022-11-23T01:37:55.1051011Z [2022-11-23 01:33:36,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1051399Z [2022-11-23 01:33:36,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1051733Z [2022-11-23 01:33:36,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.1052097Z [2022-11-23 01:33:36,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:55.1052347Z [2022-11-23 01:33:36,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.1052682Z [2022-11-23 01:33:36,261] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.1052931Z [2022-11-23 01:33:36,261] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.1053171Z [2022-11-23 01:33:36,261] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.1053412Z [2022-11-23 01:33:36,263] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.1053692Z [2022-11-23 01:33:36,266] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.1053886Z [2022-11-23 01:33:36,266] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.1054021Z __compiled_fn_311 .2683 opcode, name, target, args, kwargs 2022-11-23T01:37:55.1054109Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.1054261Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [3, 3], []), {} 2022-11-23T01:37:55.1054483Z call_function, getitem, , (max_pool2d_with_indices, 0), {} 2022-11-23T01:37:55.1054709Z call_function, getitem_1, , (max_pool2d_with_indices, 1), {} 2022-11-23T01:37:55.1054852Z output, output, output, ((getitem, getitem_1),), {} 2022-11-23T01:37:55.1054858Z 2022-11-23T01:37:55.1055204Z [2022-11-23 01:33:36,267] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.1055349Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.1055474Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1055571Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.1055668Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.1055792Z 8 RETURN_VALUE 2022-11-23T01:37:55.1055801Z 2022-11-23T01:37:55.1055891Z 2022-11-23T01:37:55.1056210Z [2022-11-23 01:33:36,267] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.1056308Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_311) 2022-11-23T01:37:55.1056400Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1056487Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.1056563Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.1056650Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.1056752Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.1056853Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.1056930Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.1057005Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.1057104Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.1057191Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.1057266Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.1057352Z 24 BUILD_TUPLE 2 2022-11-23T01:37:55.1057428Z 26 RETURN_VALUE 2022-11-23T01:37:55.1057433Z 2022-11-23T01:37:55.1057480Z 2022-11-23T01:37:55.1057667Z [2022-11-23 01:33:36,267] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.1057742Z - 2022-11-23T01:37:55.1057863Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.1057930Z { 2022-11-23T01:37:55.1058072Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.1058263Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.1058375Z 'obj_weakref': None 2022-11-23T01:37:55.1058602Z 'guarded_class': 2022-11-23T01:37:55.1058668Z } 2022-11-23T01:37:55.1058867Z 2022-11-23T01:37:55.1058982Z - 2022-11-23T01:37:55.1059135Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.1059199Z { 2022-11-23T01:37:55.1059331Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1059440Z 'code': None, 2022-11-23T01:37:55.1059660Z 'obj_weakref': 2022-11-23T01:37:55.1059921Z 'guarded_class': 2022-11-23T01:37:55.1059985Z } 2022-11-23T01:37:55.1060047Z 2022-11-23T01:37:55.1060117Z - 2022-11-23T01:37:55.1060238Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.1060374Z { 2022-11-23T01:37:55.1060516Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.1060691Z 'code': ['___check_obj_id(model, 140538738416672)'], 2022-11-23T01:37:55.1060814Z 'obj_weakref': None 2022-11-23T01:37:55.1061047Z 'guarded_class': 2022-11-23T01:37:55.1061111Z } 2022-11-23T01:37:55.1061162Z 2022-11-23T01:37:55.1061232Z - 2022-11-23T01:37:55.1061353Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.1061418Z { 2022-11-23T01:37:55.1061599Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.1061820Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.1061941Z 'obj_weakref': None 2022-11-23T01:37:55.1062149Z 'guarded_class': 2022-11-23T01:37:55.1062216Z } 2022-11-23T01:37:55.1062278Z 2022-11-23T01:37:55.1062346Z - 2022-11-23T01:37:55.1062477Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.1062538Z { 2022-11-23T01:37:55.1062660Z 'guard_types': None, 2022-11-23T01:37:55.1062756Z 'code': None, 2022-11-23T01:37:55.1062872Z 'obj_weakref': None 2022-11-23T01:37:55.1062991Z 'guarded_class': None 2022-11-23T01:37:55.1063053Z } 2022-11-23T01:37:55.1063114Z 2022-11-23T01:37:55.1063380Z [2022-11-23 01:33:36,273] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 304 2022-11-23T01:37:55.1063757Z [2022-11-23 01:33:37,807] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cs/ccs3rl43pabqc5hf6srmizycvc2fget7pgxd7rcikxmjpl4akoha.py 2022-11-23T01:37:55.1064027Z [2022-11-23 01:33:37,807] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 304 2022-11-23T01:37:55.1064035Z 2022-11-23T01:37:55.1064118Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.1064187Z import torch 2022-11-23T01:37:55.1064254Z import random 2022-11-23T01:37:55.1064368Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.1064487Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.1064492Z 2022-11-23T01:37:55.1064568Z aten = torch.ops.aten 2022-11-23T01:37:55.1064700Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.1064780Z async_compile = AsyncCompile() 2022-11-23T01:37:55.1064797Z 2022-11-23T01:37:55.1064804Z 2022-11-23T01:37:55.1064925Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.1065131Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.1065252Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.1065351Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.1065447Z long* __restrict__ out_ptr1) 2022-11-23T01:37:55.1065508Z { 2022-11-23T01:37:55.1065584Z #pragma GCC ivdep 2022-11-23T01:37:55.1065653Z for(long i0=0; i0<1024; i0+=1) 2022-11-23T01:37:55.1065712Z { 2022-11-23T01:37:55.1065788Z #pragma GCC ivdep 2022-11-23T01:37:55.1065868Z for(long i1=0; i1<18; i1+=1) 2022-11-23T01:37:55.1065931Z { 2022-11-23T01:37:55.1066009Z #pragma GCC ivdep 2022-11-23T01:37:55.1066092Z for(long i2=0; i2<18; i2+=1) 2022-11-23T01:37:55.1066142Z { 2022-11-23T01:37:55.1066205Z { 2022-11-23T01:37:55.1066271Z { 2022-11-23T01:37:55.1066381Z auto tmp0 = in_ptr0[(3*i2) + (165*i1) + (3025*i0)]; 2022-11-23T01:37:55.1066494Z auto tmp2 = in_ptr0[1 + (3*i2) + (165*i1) + (3025*i0)]; 2022-11-23T01:37:55.1066604Z auto tmp7 = in_ptr0[2 + (3*i2) + (165*i1) + (3025*i0)]; 2022-11-23T01:37:55.1066745Z auto tmp12 = in_ptr0[55 + (3*i2) + (165*i1) + (3025*i0)]; 2022-11-23T01:37:55.1066850Z auto tmp17 = in_ptr0[56 + (3*i2) + (165*i1) + (3025*i0)]; 2022-11-23T01:37:55.1066961Z auto tmp22 = in_ptr0[57 + (3*i2) + (165*i1) + (3025*i0)]; 2022-11-23T01:37:55.1067075Z auto tmp27 = in_ptr0[110 + (3*i2) + (165*i1) + (3025*i0)]; 2022-11-23T01:37:55.1067185Z auto tmp32 = in_ptr0[111 + (3*i2) + (165*i1) + (3025*i0)]; 2022-11-23T01:37:55.1067290Z auto tmp37 = in_ptr0[112 + (3*i2) + (165*i1) + (3025*i0)]; 2022-11-23T01:37:55.1067450Z auto tmp1 = static_cast((3*i2) + (165*i1)); 2022-11-23T01:37:55.1067564Z auto tmp3 = static_cast(1 + (3*i2) + (165*i1)); 2022-11-23T01:37:55.1067657Z auto tmp4 = tmp2 > tmp0; 2022-11-23T01:37:55.1067745Z auto tmp5 = tmp4 ? tmp3 : tmp1; 2022-11-23T01:37:55.1067864Z auto tmp6 = std::max(tmp2, tmp0); 2022-11-23T01:37:55.1067978Z auto tmp8 = static_cast(2 + (3*i2) + (165*i1)); 2022-11-23T01:37:55.1068070Z auto tmp9 = tmp7 > tmp6; 2022-11-23T01:37:55.1068241Z auto tmp10 = tmp9 ? tmp8 : tmp5; 2022-11-23T01:37:55.1068355Z auto tmp11 = std::max(tmp7, tmp6); 2022-11-23T01:37:55.1068473Z auto tmp13 = static_cast(55 + (3*i2) + (165*i1)); 2022-11-23T01:37:55.1068568Z auto tmp14 = tmp12 > tmp11; 2022-11-23T01:37:55.1068661Z auto tmp15 = tmp14 ? tmp13 : tmp10; 2022-11-23T01:37:55.1068770Z auto tmp16 = std::max(tmp12, tmp11); 2022-11-23T01:37:55.1068885Z auto tmp18 = static_cast(56 + (3*i2) + (165*i1)); 2022-11-23T01:37:55.1068983Z auto tmp19 = tmp17 > tmp16; 2022-11-23T01:37:55.1069087Z auto tmp20 = tmp19 ? tmp18 : tmp15; 2022-11-23T01:37:55.1069194Z auto tmp21 = std::max(tmp17, tmp16); 2022-11-23T01:37:55.1069310Z auto tmp23 = static_cast(57 + (3*i2) + (165*i1)); 2022-11-23T01:37:55.1069392Z auto tmp24 = tmp22 > tmp21; 2022-11-23T01:37:55.1069492Z auto tmp25 = tmp24 ? tmp23 : tmp20; 2022-11-23T01:37:55.1069599Z auto tmp26 = std::max(tmp22, tmp21); 2022-11-23T01:37:55.1069716Z auto tmp28 = static_cast(110 + (3*i2) + (165*i1)); 2022-11-23T01:37:55.1069813Z auto tmp29 = tmp27 > tmp26; 2022-11-23T01:37:55.1069913Z auto tmp30 = tmp29 ? tmp28 : tmp25; 2022-11-23T01:37:55.1070021Z auto tmp31 = std::max(tmp27, tmp26); 2022-11-23T01:37:55.1070141Z auto tmp33 = static_cast(111 + (3*i2) + (165*i1)); 2022-11-23T01:37:55.1070224Z auto tmp34 = tmp32 > tmp31; 2022-11-23T01:37:55.1070325Z auto tmp35 = tmp34 ? tmp33 : tmp30; 2022-11-23T01:37:55.1070430Z auto tmp36 = std::max(tmp32, tmp31); 2022-11-23T01:37:55.1070547Z auto tmp38 = static_cast(112 + (3*i2) + (165*i1)); 2022-11-23T01:37:55.1070639Z auto tmp39 = tmp37 > tmp36; 2022-11-23T01:37:55.1070742Z auto tmp40 = tmp39 ? tmp38 : tmp35; 2022-11-23T01:37:55.1070852Z auto tmp41 = std::max(tmp37, tmp36); 2022-11-23T01:37:55.1070959Z out_ptr0[i2 + (18*i1) + (324*i0)] = tmp41; 2022-11-23T01:37:55.1071045Z out_ptr1[i2 + (18*i1) + (324*i0)] = tmp40; 2022-11-23T01:37:55.1071116Z } 2022-11-23T01:37:55.1071182Z } 2022-11-23T01:37:55.1071247Z } 2022-11-23T01:37:55.1071310Z } 2022-11-23T01:37:55.1071373Z } 2022-11-23T01:37:55.1071474Z } 2022-11-23T01:37:55.1071551Z ''') 2022-11-23T01:37:55.1071557Z 2022-11-23T01:37:55.1071561Z 2022-11-23T01:37:55.1071654Z async_compile.wait(globals()) 2022-11-23T01:37:55.1071728Z del async_compile 2022-11-23T01:37:55.1071732Z 2022-11-23T01:37:55.1071802Z def call(args): 2022-11-23T01:37:55.1071873Z arg0_1, = args 2022-11-23T01:37:55.1071946Z args.clear() 2022-11-23T01:37:55.1072176Z buf0 = empty_strided((16, 64, 18, 18), (20736, 324, 18, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1072384Z buf1 = empty_strided((16, 64, 18, 18), (20736, 324, 18, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.1072583Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:55.1072655Z del arg0_1 2022-11-23T01:37:55.1072734Z return (buf0, buf1, ) 2022-11-23T01:37:55.1072739Z 2022-11-23T01:37:55.1072743Z 2022-11-23T01:37:55.1072819Z if __name__ == "__main__": 2022-11-23T01:37:55.1072935Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.1073059Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.1073291Z arg0_1 = rand_strided((16, 64, 55, 55), (193600, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1073387Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.1073410Z 2022-11-23T01:37:55.1073462Z ok (1.617s) 2022-11-23T01:37:55.1073780Z test_max_pool2d6_cpu (__main__.CpuTests) ... [2022-11-23 01:33:37,859] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.1074057Z [2022-11-23 01:33:37,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.1074284Z [2022-11-23 01:33:37,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.1074545Z [2022-11-23 01:33:37,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.1074839Z [2022-11-23 01:33:37,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.1075167Z [2022-11-23 01:33:37,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.1075499Z [2022-11-23 01:33:37,859] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.1075599Z 2001 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.1075703Z 2 LOAD_METHOD 1 (max_pool2d_with_indices) 2022-11-23T01:37:55.1075799Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:55.1075891Z 6 LOAD_CONST 1 (13) 2022-11-23T01:37:55.1075982Z 8 LOAD_CONST 1 (13) 2022-11-23T01:37:55.1076072Z 10 BUILD_LIST 2 2022-11-23T01:37:55.1076162Z 12 BUILD_LIST 0 2022-11-23T01:37:55.1076251Z 14 CALL_METHOD 3 2022-11-23T01:37:55.1076315Z 16 RETURN_VALUE 2022-11-23T01:37:55.1076377Z 2022-11-23T01:37:55.1076382Z 2022-11-23T01:37:55.1076654Z [2022-11-23 01:33:37,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2001 2022-11-23T01:37:55.1076876Z [2022-11-23 01:33:37,859] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.1077211Z [2022-11-23 01:33:37,865] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices [TorchVariable()] 2022-11-23T01:37:55.1077496Z [2022-11-23 01:33:37,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.max_pool2d_with_indices)] 2022-11-23T01:37:55.1077810Z [2022-11-23 01:33:37,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable()] 2022-11-23T01:37:55.1078191Z [2022-11-23 01:33:37,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1078578Z [2022-11-23 01:33:37,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1078911Z [2022-11-23 01:33:37,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.1079292Z [2022-11-23 01:33:37,866] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.max_pool2d_with_indices), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:55.1079544Z [2022-11-23 01:33:37,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.1079878Z [2022-11-23 01:33:37,868] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.1080125Z [2022-11-23 01:33:37,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.1080360Z [2022-11-23 01:33:37,868] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.1080613Z [2022-11-23 01:33:37,869] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.1080863Z [2022-11-23 01:33:37,872] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.1081059Z [2022-11-23 01:33:37,873] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.1081194Z __compiled_fn_312 .2689 opcode, name, target, args, kwargs 2022-11-23T01:37:55.1081271Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.1081428Z call_function, max_pool2d_with_indices, aten.max_pool2d_with_indices, (ex_0_, [13, 13], []), {} 2022-11-23T01:37:55.1081651Z call_function, getitem, , (max_pool2d_with_indices, 0), {} 2022-11-23T01:37:55.1081873Z call_function, getitem_1, , (max_pool2d_with_indices, 1), {} 2022-11-23T01:37:55.1081985Z output, output, output, ((getitem, getitem_1),), {} 2022-11-23T01:37:55.1081990Z 2022-11-23T01:37:55.1082270Z [2022-11-23 01:33:37,873] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.1082362Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.1082454Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1082546Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.1082624Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.1082699Z 8 RETURN_VALUE 2022-11-23T01:37:55.1082704Z 2022-11-23T01:37:55.1082764Z 2022-11-23T01:37:55.1083042Z [2022-11-23 01:33:37,873] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.1083149Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_312) 2022-11-23T01:37:55.1083237Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1083326Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.1083389Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.1083477Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.1083579Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.1083679Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.1083768Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.1083845Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.1083945Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.1084021Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.1084125Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.1084215Z 24 BUILD_TUPLE 2 2022-11-23T01:37:55.1084292Z 26 RETURN_VALUE 2022-11-23T01:37:55.1084297Z 2022-11-23T01:37:55.1084356Z 2022-11-23T01:37:55.1084543Z [2022-11-23 01:33:37,874] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.1084613Z - 2022-11-23T01:37:55.1084733Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.1084785Z { 2022-11-23T01:37:55.1084927Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.1085116Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.1085279Z 'obj_weakref': None 2022-11-23T01:37:55.1085504Z 'guarded_class': 2022-11-23T01:37:55.1085569Z } 2022-11-23T01:37:55.1085629Z 2022-11-23T01:37:55.1085686Z - 2022-11-23T01:37:55.1085811Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.1085876Z { 2022-11-23T01:37:55.1086018Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1086128Z 'code': None, 2022-11-23T01:37:55.1086347Z 'obj_weakref': 2022-11-23T01:37:55.1086602Z 'guarded_class': 2022-11-23T01:37:55.1086653Z } 2022-11-23T01:37:55.1086714Z 2022-11-23T01:37:55.1086783Z - 2022-11-23T01:37:55.1086913Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.1086979Z { 2022-11-23T01:37:55.1087113Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.1087286Z 'code': ['___check_obj_id(model, 140538744170400)'], 2022-11-23T01:37:55.1087393Z 'obj_weakref': None 2022-11-23T01:37:55.1087626Z 'guarded_class': 2022-11-23T01:37:55.1087691Z } 2022-11-23T01:37:55.1087753Z 2022-11-23T01:37:55.1087823Z - 2022-11-23T01:37:55.1087944Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.1087995Z { 2022-11-23T01:37:55.1088132Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.1088350Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.1088469Z 'obj_weakref': None 2022-11-23T01:37:55.1088693Z 'guarded_class': 2022-11-23T01:37:55.1088758Z } 2022-11-23T01:37:55.1088819Z 2022-11-23T01:37:55.1088888Z - 2022-11-23T01:37:55.1089008Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.1089070Z { 2022-11-23T01:37:55.1089191Z 'guard_types': None, 2022-11-23T01:37:55.1089298Z 'code': None, 2022-11-23T01:37:55.1089420Z 'obj_weakref': None 2022-11-23T01:37:55.1089543Z 'guarded_class': None 2022-11-23T01:37:55.1089592Z } 2022-11-23T01:37:55.1089652Z 2022-11-23T01:37:55.1089911Z [2022-11-23 01:33:37,880] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 305 2022-11-23T01:37:55.1090162Z [2022-11-23 01:33:37,882] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.max_pool2d_with_indices 2022-11-23T01:37:55.1090533Z [2022-11-23 01:33:37,884] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ss/cssf4bffopjz4oe5yzaesenr6nusgplbxu3f2lwtm5ob6wfvv4xt.py 2022-11-23T01:37:55.1090801Z [2022-11-23 01:33:37,884] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 305 2022-11-23T01:37:55.1090807Z 2022-11-23T01:37:55.1090900Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.1090967Z import torch 2022-11-23T01:37:55.1091022Z import random 2022-11-23T01:37:55.1091171Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.1091293Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.1091298Z 2022-11-23T01:37:55.1091374Z aten = torch.ops.aten 2022-11-23T01:37:55.1091507Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.1091597Z async_compile = AsyncCompile() 2022-11-23T01:37:55.1091603Z 2022-11-23T01:37:55.1091607Z 2022-11-23T01:37:55.1091693Z async_compile.wait(globals()) 2022-11-23T01:37:55.1091764Z del async_compile 2022-11-23T01:37:55.1091768Z 2022-11-23T01:37:55.1091837Z def call(args): 2022-11-23T01:37:55.1091893Z arg0_1, = args 2022-11-23T01:37:55.1091992Z args.clear() 2022-11-23T01:37:55.1092126Z buf0 = aten.max_pool2d_with_indices(arg0_1, [13, 13], [13, 13], [0, 0], 1, False) 2022-11-23T01:37:55.1092192Z del arg0_1 2022-11-23T01:37:55.1092258Z buf1 = buf0[0] 2022-11-23T01:37:55.1092363Z assert_size_stride(buf1, (16, 64, 4, 4), (1024, 16, 4, 1)) 2022-11-23T01:37:55.1092418Z buf2 = buf0[1] 2022-11-23T01:37:55.1092524Z assert_size_stride(buf2, (16, 64, 4, 4), (1024, 16, 4, 1)) 2022-11-23T01:37:55.1092588Z del buf0 2022-11-23T01:37:55.1092664Z return (buf1, buf2, ) 2022-11-23T01:37:55.1092669Z 2022-11-23T01:37:55.1092673Z 2022-11-23T01:37:55.1092746Z if __name__ == "__main__": 2022-11-23T01:37:55.1092857Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.1092977Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.1093208Z arg0_1 = rand_strided((16, 64, 55, 55), (193600, 3025, 55, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1093302Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.1093321Z 2022-11-23T01:37:55.1093375Z ok (0.065s) 2022-11-23T01:37:55.1093722Z test_max_pool2d_with_indices_backward2_cpu (__main__.CpuTests) ... [2022-11-23 01:33:37,895] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.1093996Z [2022-11-23 01:33:37,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.1094217Z [2022-11-23 01:33:37,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.1094473Z [2022-11-23 01:33:37,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.1094762Z [2022-11-23 01:33:37,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.1095086Z [2022-11-23 01:33:37,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.1095416Z [2022-11-23 01:33:37,895] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.1095511Z 3933 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.1095627Z 2 LOAD_METHOD 1 (max_pool2d_with_indices_backward) 2022-11-23T01:37:55.1095633Z 2022-11-23T01:37:55.1095724Z 3934 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.1095814Z 6 LOAD_FAST 1 (b) 2022-11-23T01:37:55.1095902Z 8 LOAD_CONST 1 (3) 2022-11-23T01:37:55.1095988Z 10 LOAD_CONST 1 (3) 2022-11-23T01:37:55.1096075Z 12 BUILD_LIST 2 2022-11-23T01:37:55.1096162Z 14 LOAD_CONST 2 (2) 2022-11-23T01:37:55.1096236Z 16 LOAD_CONST 2 (2) 2022-11-23T01:37:55.1096319Z 18 BUILD_LIST 2 2022-11-23T01:37:55.1096407Z 20 LOAD_CONST 3 (1) 2022-11-23T01:37:55.1096490Z 22 LOAD_CONST 3 (1) 2022-11-23T01:37:55.1096573Z 24 BUILD_LIST 2 2022-11-23T01:37:55.1096656Z 26 LOAD_CONST 3 (1) 2022-11-23T01:37:55.1096771Z 28 LOAD_CONST 3 (1) 2022-11-23T01:37:55.1096846Z 30 BUILD_LIST 2 2022-11-23T01:37:55.1096937Z 32 LOAD_CONST 4 (True) 2022-11-23T01:37:55.1097021Z 34 LOAD_FAST 2 (c) 2022-11-23T01:37:55.1097106Z 36 CALL_METHOD 8 2022-11-23T01:37:55.1097181Z 38 RETURN_VALUE 2022-11-23T01:37:55.1097241Z 2022-11-23T01:37:55.1097246Z 2022-11-23T01:37:55.1097521Z [2022-11-23 01:33:37,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3933 2022-11-23T01:37:55.1097742Z [2022-11-23 01:33:37,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.1098116Z [2022-11-23 01:33:37,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices_backward [TorchVariable()] 2022-11-23T01:37:55.1098390Z [2022-11-23 01:33:37,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3934 2022-11-23T01:37:55.1098685Z [2022-11-23 01:33:37,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.max_pool2d_with_indices_backward)] 2022-11-23T01:37:55.1099222Z [2022-11-23 01:33:37,901] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable()] 2022-11-23T01:37:55.1099579Z [2022-11-23 01:33:37,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1099976Z [2022-11-23 01:33:37,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1100408Z [2022-11-23 01:33:37,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1100784Z [2022-11-23 01:33:37,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.1101200Z [2022-11-23 01:33:37,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1101658Z [2022-11-23 01:33:37,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1102066Z [2022-11-23 01:33:37,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:55.1102507Z [2022-11-23 01:33:37,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1102982Z [2022-11-23 01:33:37,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1103408Z [2022-11-23 01:33:37,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:55.1103927Z [2022-11-23 01:33:37,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1104436Z [2022-11-23 01:33:37,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1104895Z [2022-11-23 01:33:37,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:55.1105445Z [2022-11-23 01:33:37,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:37:55.1105981Z [2022-11-23 01:33:37,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), TensorVariable()] 2022-11-23T01:37:55.1106234Z [2022-11-23 01:33:37,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.1106566Z [2022-11-23 01:33:37,904] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.1106817Z [2022-11-23 01:33:37,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.1107058Z [2022-11-23 01:33:37,904] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.1107315Z [2022-11-23 01:33:37,905] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.1107571Z [2022-11-23 01:33:37,908] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.1107763Z [2022-11-23 01:33:37,908] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.1107898Z __compiled_fn_313 .2695 opcode, name, target, args, kwargs 2022-11-23T01:37:55.1107975Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.1108062Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.1108251Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:37:55.1108458Z call_function, max_pool2d_with_indices_backward, aten.max_pool2d_with_indices_backward, (ex_0_, ex_1_, [3, 3], [2, 2], [1, 1], [1, 1], True, ex_2_), {} 2022-11-23T01:37:55.1108594Z output, output, output, ((max_pool2d_with_indices_backward,),), {} 2022-11-23T01:37:55.1108599Z 2022-11-23T01:37:55.1108883Z [2022-11-23 01:33:37,908] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.1108979Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.1109072Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1109152Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.1109242Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.1109317Z 8 RETURN_VALUE 2022-11-23T01:37:55.1109323Z 2022-11-23T01:37:55.1109384Z 2022-11-23T01:37:55.1109662Z [2022-11-23 01:33:37,909] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.1109771Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_313) 2022-11-23T01:37:55.1109860Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1109951Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.1110016Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.1110105Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1110195Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.1110269Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.1110386Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1110473Z 16 LOAD_CONST 3 (2) 2022-11-23T01:37:55.1110547Z 18 BINARY_SUBSCR 2022-11-23T01:37:55.1110621Z 20 CALL_FUNCTION 3 2022-11-23T01:37:55.1110711Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.1110785Z 24 RETURN_VALUE 2022-11-23T01:37:55.1110789Z 2022-11-23T01:37:55.1110847Z 2022-11-23T01:37:55.1111033Z [2022-11-23 01:33:37,909] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.1111105Z - 2022-11-23T01:37:55.1111227Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.1111321Z { 2022-11-23T01:37:55.1111468Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.1111659Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 3'], 2022-11-23T01:37:55.1111783Z 'obj_weakref': None 2022-11-23T01:37:55.1112012Z 'guarded_class': 2022-11-23T01:37:55.1112076Z } 2022-11-23T01:37:55.1112138Z 2022-11-23T01:37:55.1112195Z - 2022-11-23T01:37:55.1112323Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.1112385Z { 2022-11-23T01:37:55.1112529Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1112641Z 'code': None, 2022-11-23T01:37:55.1112856Z 'obj_weakref': 2022-11-23T01:37:55.1113115Z 'guarded_class': 2022-11-23T01:37:55.1113169Z } 2022-11-23T01:37:55.1113230Z 2022-11-23T01:37:55.1113301Z - 2022-11-23T01:37:55.1113425Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.1113486Z { 2022-11-23T01:37:55.1113629Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1113739Z 'code': None, 2022-11-23T01:37:55.1113942Z 'obj_weakref': 2022-11-23T01:37:55.1114198Z 'guarded_class': 2022-11-23T01:37:55.1114259Z } 2022-11-23T01:37:55.1114322Z 2022-11-23T01:37:55.1114392Z - 2022-11-23T01:37:55.1114517Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:37:55.1114580Z { 2022-11-23T01:37:55.1114710Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1114816Z 'code': None, 2022-11-23T01:37:55.1115030Z 'obj_weakref': 2022-11-23T01:37:55.1115284Z 'guarded_class': 2022-11-23T01:37:55.1115347Z } 2022-11-23T01:37:55.1115408Z 2022-11-23T01:37:55.1115477Z - 2022-11-23T01:37:55.1115598Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.1115662Z { 2022-11-23T01:37:55.1115798Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.1115971Z 'code': ['___check_obj_id(model, 140538745523664)'], 2022-11-23T01:37:55.1116092Z 'obj_weakref': None 2022-11-23T01:37:55.1116327Z 'guarded_class': 2022-11-23T01:37:55.1116395Z } 2022-11-23T01:37:55.1116444Z 2022-11-23T01:37:55.1116517Z - 2022-11-23T01:37:55.1116642Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.1116709Z { 2022-11-23T01:37:55.1116848Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.1117071Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.1117194Z 'obj_weakref': None 2022-11-23T01:37:55.1117432Z 'guarded_class': 2022-11-23T01:37:55.1117500Z } 2022-11-23T01:37:55.1117568Z 2022-11-23T01:37:55.1117640Z - 2022-11-23T01:37:55.1117774Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.1117839Z { 2022-11-23T01:37:55.1117963Z 'guard_types': None, 2022-11-23T01:37:55.1118059Z 'code': None, 2022-11-23T01:37:55.1118180Z 'obj_weakref': None 2022-11-23T01:37:55.1118302Z 'guarded_class': None 2022-11-23T01:37:55.1118368Z } 2022-11-23T01:37:55.1118468Z 2022-11-23T01:37:55.1118740Z [2022-11-23 01:33:37,918] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 306 2022-11-23T01:37:55.1119123Z [2022-11-23 01:33:39,407] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/by/cbykribdewqrfyrsxorxmfxeezssdtipnu3fu5xxawrix6x7zgjq.py 2022-11-23T01:37:55.1119394Z [2022-11-23 01:33:39,408] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 306 2022-11-23T01:37:55.1119400Z 2022-11-23T01:37:55.1119484Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.1119554Z import torch 2022-11-23T01:37:55.1119627Z import random 2022-11-23T01:37:55.1119744Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.1119867Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.1119872Z 2022-11-23T01:37:55.1119952Z aten = torch.ops.aten 2022-11-23T01:37:55.1120088Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.1120170Z async_compile = AsyncCompile() 2022-11-23T01:37:55.1120188Z 2022-11-23T01:37:55.1120193Z 2022-11-23T01:37:55.1120316Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.1120526Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.1120648Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:37:55.1120756Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.1120858Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.1120921Z { 2022-11-23T01:37:55.1120999Z #pragma GCC ivdep 2022-11-23T01:37:55.1121066Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.1121128Z { 2022-11-23T01:37:55.1121208Z #pragma GCC ivdep 2022-11-23T01:37:55.1121290Z for(long i1=0; i1<40; i1+=1) 2022-11-23T01:37:55.1121355Z { 2022-11-23T01:37:55.1121434Z #pragma GCC ivdep 2022-11-23T01:37:55.1121523Z for(long i2=0; i2<56; i2+=1) 2022-11-23T01:37:55.1121577Z { 2022-11-23T01:37:55.1121646Z { 2022-11-23T01:37:55.1121716Z { 2022-11-23T01:37:55.1121827Z auto tmp0 = static_cast(i2 + (56*i1)); 2022-11-23T01:37:55.1121934Z auto tmp1 = static_cast((i1 / 2)); 2022-11-23T01:37:55.1122045Z auto tmp2 = static_cast((i2 / 2)); 2022-11-23T01:37:55.1122158Z auto tmp3 = static_cast(1 + (((1 + i1) / 2))); 2022-11-23T01:37:55.1122258Z auto tmp4 = static_cast(1 + (((1 + i2) / 2))); 2022-11-23T01:37:55.1122359Z auto tmp5 = static_cast(0); 2022-11-23T01:37:55.1122473Z auto tmp6 = std::max(tmp1, tmp5); 2022-11-23T01:37:55.1122582Z auto tmp7 = std::max(tmp2, tmp5); 2022-11-23T01:37:55.1122685Z auto tmp8 = static_cast(21); 2022-11-23T01:37:55.1122786Z auto tmp9 = std::min(tmp3, tmp8); 2022-11-23T01:37:55.1122894Z auto tmp10 = static_cast(29); 2022-11-23T01:37:55.1123003Z auto tmp11 = std::min(tmp4, tmp10); 2022-11-23T01:37:55.1123085Z auto tmp12 = tmp6 + tmp5; 2022-11-23T01:37:55.1123177Z auto tmp13 = tmp7 + tmp5; 2022-11-23T01:37:55.1123309Z auto tmp14 = static_cast(1); 2022-11-23T01:37:55.1123460Z auto tmp15 = tmp9 - tmp14; 2022-11-23T01:37:55.1123568Z auto tmp16 = std::min(tmp12, tmp15); 2022-11-23T01:37:55.1123713Z auto tmp17 = tmp11 - tmp14; 2022-11-23T01:37:55.1123821Z auto tmp18 = std::min(tmp13, tmp17); 2022-11-23T01:37:55.1123925Z auto tmp19 = in_ptr0[tmp18 + (29*tmp16) + (609*i0)]; 2022-11-23T01:37:55.1124041Z auto tmp20 = in_ptr1[tmp18 + (29*tmp16) + (609*i0)]; 2022-11-23T01:37:55.1124164Z auto tmp21 = tmp19 == tmp0; 2022-11-23T01:37:55.1124271Z auto tmp22 = static_cast(0.0); 2022-11-23T01:37:55.1124373Z auto tmp23 = tmp21 ? tmp20 : tmp22; 2022-11-23T01:37:55.1124467Z auto tmp24 = tmp7 + tmp14; 2022-11-23T01:37:55.1124577Z auto tmp25 = std::min(tmp24, tmp17); 2022-11-23T01:37:55.1124693Z auto tmp26 = in_ptr0[tmp25 + (29*tmp16) + (609*i0)]; 2022-11-23T01:37:55.1124794Z auto tmp27 = in_ptr1[tmp25 + (29*tmp16) + (609*i0)]; 2022-11-23T01:37:55.1124888Z auto tmp28 = tmp26 == tmp0; 2022-11-23T01:37:55.1124978Z auto tmp29 = tmp12 < tmp9; 2022-11-23T01:37:55.1125069Z auto tmp30 = tmp24 < tmp11; 2022-11-23T01:37:55.1125157Z auto tmp31 = tmp29 & tmp30; 2022-11-23T01:37:55.1125245Z auto tmp32 = tmp31 & tmp28; 2022-11-23T01:37:55.1125336Z auto tmp33 = tmp23 + tmp27; 2022-11-23T01:37:55.1125424Z auto tmp34 = tmp32 ? tmp33 : tmp23; 2022-11-23T01:37:55.1125516Z auto tmp35 = tmp6 + tmp14; 2022-11-23T01:37:55.1125622Z auto tmp36 = std::min(tmp35, tmp15); 2022-11-23T01:37:55.1125737Z auto tmp37 = in_ptr0[tmp18 + (29*tmp36) + (609*i0)]; 2022-11-23T01:37:55.1125850Z auto tmp38 = in_ptr1[tmp18 + (29*tmp36) + (609*i0)]; 2022-11-23T01:37:55.1125940Z auto tmp39 = tmp37 == tmp0; 2022-11-23T01:37:55.1126030Z auto tmp40 = tmp35 < tmp9; 2022-11-23T01:37:55.1126119Z auto tmp41 = tmp13 < tmp11; 2022-11-23T01:37:55.1126195Z auto tmp42 = tmp40 & tmp41; 2022-11-23T01:37:55.1126282Z auto tmp43 = tmp42 & tmp39; 2022-11-23T01:37:55.1126370Z auto tmp44 = tmp34 + tmp38; 2022-11-23T01:37:55.1126472Z auto tmp45 = tmp43 ? tmp44 : tmp34; 2022-11-23T01:37:55.1126584Z auto tmp46 = in_ptr0[tmp25 + (29*tmp36) + (609*i0)]; 2022-11-23T01:37:55.1126695Z auto tmp47 = in_ptr1[tmp25 + (29*tmp36) + (609*i0)]; 2022-11-23T01:37:55.1126787Z auto tmp48 = tmp46 == tmp0; 2022-11-23T01:37:55.1126867Z auto tmp49 = tmp40 & tmp30; 2022-11-23T01:37:55.1126956Z auto tmp50 = tmp49 & tmp48; 2022-11-23T01:37:55.1127044Z auto tmp51 = tmp45 + tmp47; 2022-11-23T01:37:55.1127144Z auto tmp52 = tmp50 ? tmp51 : tmp45; 2022-11-23T01:37:55.1127246Z out_ptr0[i2 + (56*i1) + (2240*i0)] = tmp52; 2022-11-23T01:37:55.1127312Z } 2022-11-23T01:37:55.1127379Z } 2022-11-23T01:37:55.1127442Z } 2022-11-23T01:37:55.1127492Z } 2022-11-23T01:37:55.1127553Z } 2022-11-23T01:37:55.1127612Z } 2022-11-23T01:37:55.1127693Z ''') 2022-11-23T01:37:55.1127699Z 2022-11-23T01:37:55.1127703Z 2022-11-23T01:37:55.1127791Z async_compile.wait(globals()) 2022-11-23T01:37:55.1127862Z del async_compile 2022-11-23T01:37:55.1127867Z 2022-11-23T01:37:55.1127934Z def call(args): 2022-11-23T01:37:55.1128005Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:55.1128104Z args.clear() 2022-11-23T01:37:55.1128333Z buf0 = empty_strided((2, 4, 40, 56), (8960, 2240, 56, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1128496Z kernel_cpp_0(c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.1128566Z del arg0_1 2022-11-23T01:37:55.1128630Z del arg2_1 2022-11-23T01:37:55.1128700Z return (buf0, ) 2022-11-23T01:37:55.1128705Z 2022-11-23T01:37:55.1128709Z 2022-11-23T01:37:55.1128774Z if __name__ == "__main__": 2022-11-23T01:37:55.1128886Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.1129038Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.1129261Z arg0_1 = rand_strided((2, 4, 21, 29), (2436, 609, 29, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1129481Z arg1_1 = rand_strided((2, 4, 40, 56), (8960, 2240, 56, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1129702Z arg2_1 = rand_strided((2, 4, 21, 29), (2436, 609, 29, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.1129824Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:55.1129829Z 2022-11-23T01:37:55.1129895Z ok (1.520s) 2022-11-23T01:37:55.1130243Z test_max_pool2d_with_indices_backward3_cpu (__main__.CpuTests) ... [2022-11-23 01:33:39,639] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.1130504Z [2022-11-23 01:33:39,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.1130723Z [2022-11-23 01:33:39,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.1130981Z [2022-11-23 01:33:39,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.1131269Z [2022-11-23 01:33:39,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.1131597Z [2022-11-23 01:33:39,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.1131925Z [2022-11-23 01:33:39,639] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.1132019Z 3959 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.1132144Z 2 LOAD_METHOD 1 (max_pool2d_with_indices_backward) 2022-11-23T01:37:55.1132149Z 2022-11-23T01:37:55.1132240Z 3960 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.1132319Z 6 LOAD_FAST 1 (b) 2022-11-23T01:37:55.1132406Z 8 LOAD_CONST 1 (1) 2022-11-23T01:37:55.1132492Z 10 LOAD_CONST 1 (1) 2022-11-23T01:37:55.1132579Z 12 BUILD_LIST 2 2022-11-23T01:37:55.1132663Z 14 LOAD_CONST 2 (2) 2022-11-23T01:37:55.1132750Z 16 LOAD_CONST 2 (2) 2022-11-23T01:37:55.1132836Z 18 BUILD_LIST 2 2022-11-23T01:37:55.1132910Z 20 LOAD_CONST 3 (0) 2022-11-23T01:37:55.1132992Z 22 LOAD_CONST 3 (0) 2022-11-23T01:37:55.1133076Z 24 BUILD_LIST 2 2022-11-23T01:37:55.1133161Z 26 LOAD_CONST 1 (1) 2022-11-23T01:37:55.1133244Z 28 LOAD_CONST 1 (1) 2022-11-23T01:37:55.1133328Z 30 BUILD_LIST 2 2022-11-23T01:37:55.1133419Z 32 LOAD_CONST 4 (False) 2022-11-23T01:37:55.1133491Z 34 LOAD_FAST 2 (c) 2022-11-23T01:37:55.1133575Z 36 CALL_METHOD 8 2022-11-23T01:37:55.1133650Z 38 RETURN_VALUE 2022-11-23T01:37:55.1133708Z 2022-11-23T01:37:55.1133713Z 2022-11-23T01:37:55.1134019Z [2022-11-23 01:33:39,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3959 2022-11-23T01:37:55.1134242Z [2022-11-23 01:33:39,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.1134596Z [2022-11-23 01:33:39,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices_backward [TorchVariable()] 2022-11-23T01:37:55.1134868Z [2022-11-23 01:33:39,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3960 2022-11-23T01:37:55.1135166Z [2022-11-23 01:33:39,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.max_pool2d_with_indices_backward)] 2022-11-23T01:37:55.1135512Z [2022-11-23 01:33:39,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable()] 2022-11-23T01:37:55.1135869Z [2022-11-23 01:33:39,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1136257Z [2022-11-23 01:33:39,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1136688Z [2022-11-23 01:33:39,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1137063Z [2022-11-23 01:33:39,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.1137481Z [2022-11-23 01:33:39,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1137931Z [2022-11-23 01:33:39,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1138334Z [2022-11-23 01:33:39,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:55.1138916Z [2022-11-23 01:33:39,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1139511Z [2022-11-23 01:33:39,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1139936Z [2022-11-23 01:33:39,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:55.1140405Z [2022-11-23 01:33:39,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1140913Z [2022-11-23 01:33:39,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1141434Z [2022-11-23 01:33:39,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:55.1141928Z [2022-11-23 01:33:39,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:37:55.1142454Z [2022-11-23 01:33:39,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), TensorVariable()] 2022-11-23T01:37:55.1142751Z [2022-11-23 01:33:39,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.1143086Z [2022-11-23 01:33:39,648] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.1143325Z [2022-11-23 01:33:39,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.1143563Z [2022-11-23 01:33:39,649] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.1143817Z [2022-11-23 01:33:39,652] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.1144072Z [2022-11-23 01:33:39,656] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.1144262Z [2022-11-23 01:33:39,656] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.1144399Z __compiled_fn_314 .2701 opcode, name, target, args, kwargs 2022-11-23T01:37:55.1144487Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.1144572Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.1144642Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:37:55.1144841Z call_function, max_pool2d_with_indices_backward, aten.max_pool2d_with_indices_backward, (ex_0_, ex_1_, [1, 1], [2, 2], [0, 0], [1, 1], False, ex_2_), {} 2022-11-23T01:37:55.1144973Z output, output, output, ((max_pool2d_with_indices_backward,),), {} 2022-11-23T01:37:55.1144979Z 2022-11-23T01:37:55.1145257Z [2022-11-23 01:33:39,656] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.1145351Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.1145441Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1145532Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.1145625Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.1145687Z 8 RETURN_VALUE 2022-11-23T01:37:55.1145704Z 2022-11-23T01:37:55.1145751Z 2022-11-23T01:37:55.1146027Z [2022-11-23 01:33:39,656] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.1146138Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_314) 2022-11-23T01:37:55.1146226Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1146315Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.1146390Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.1146477Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1146552Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.1146625Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.1146710Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1146793Z 16 LOAD_CONST 3 (2) 2022-11-23T01:37:55.1146869Z 18 BINARY_SUBSCR 2022-11-23T01:37:55.1146957Z 20 CALL_FUNCTION 3 2022-11-23T01:37:55.1147049Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.1147111Z 24 RETURN_VALUE 2022-11-23T01:37:55.1147116Z 2022-11-23T01:37:55.1147175Z 2022-11-23T01:37:55.1147390Z [2022-11-23 01:33:39,657] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.1147464Z - 2022-11-23T01:37:55.1147586Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.1147649Z { 2022-11-23T01:37:55.1147792Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.1147968Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 3'], 2022-11-23T01:37:55.1148089Z 'obj_weakref': None 2022-11-23T01:37:55.1148395Z 'guarded_class': 2022-11-23T01:37:55.1148463Z } 2022-11-23T01:37:55.1148562Z 2022-11-23T01:37:55.1148633Z - 2022-11-23T01:37:55.1148762Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.1148813Z { 2022-11-23T01:37:55.1148957Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1149065Z 'code': None, 2022-11-23T01:37:55.1149284Z 'obj_weakref': 2022-11-23T01:37:55.1149547Z 'guarded_class': 2022-11-23T01:37:55.1149614Z } 2022-11-23T01:37:55.1149675Z 2022-11-23T01:37:55.1149732Z - 2022-11-23T01:37:55.1149858Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.1149921Z { 2022-11-23T01:37:55.1150065Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1150174Z 'code': None, 2022-11-23T01:37:55.1150389Z 'obj_weakref': 2022-11-23T01:37:55.1150650Z 'guarded_class': 2022-11-23T01:37:55.1150701Z } 2022-11-23T01:37:55.1150764Z 2022-11-23T01:37:55.1150834Z - 2022-11-23T01:37:55.1150958Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:37:55.1151020Z { 2022-11-23T01:37:55.1151167Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1151274Z 'code': None, 2022-11-23T01:37:55.1151472Z 'obj_weakref': 2022-11-23T01:37:55.1151724Z 'guarded_class': 2022-11-23T01:37:55.1151787Z } 2022-11-23T01:37:55.1151850Z 2022-11-23T01:37:55.1151921Z - 2022-11-23T01:37:55.1152051Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.1152114Z { 2022-11-23T01:37:55.1152240Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.1152410Z 'code': ['___check_obj_id(model, 140539049606032)'], 2022-11-23T01:37:55.1152530Z 'obj_weakref': None 2022-11-23T01:37:55.1152763Z 'guarded_class': 2022-11-23T01:37:55.1152831Z } 2022-11-23T01:37:55.1152895Z 2022-11-23T01:37:55.1152968Z - 2022-11-23T01:37:55.1153077Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.1153140Z { 2022-11-23T01:37:55.1153276Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.1153493Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.1153613Z 'obj_weakref': None 2022-11-23T01:37:55.1153835Z 'guarded_class': 2022-11-23T01:37:55.1153897Z } 2022-11-23T01:37:55.1153950Z 2022-11-23T01:37:55.1154021Z - 2022-11-23T01:37:55.1154153Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.1154214Z { 2022-11-23T01:37:55.1154332Z 'guard_types': None, 2022-11-23T01:37:55.1154440Z 'code': None, 2022-11-23T01:37:55.1154559Z 'obj_weakref': None 2022-11-23T01:37:55.1154702Z 'guarded_class': None 2022-11-23T01:37:55.1154766Z } 2022-11-23T01:37:55.1154827Z 2022-11-23T01:37:55.1155091Z [2022-11-23 01:33:39,664] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 307 2022-11-23T01:37:55.1155464Z [2022-11-23 01:33:41,124] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/e6/ce6vmfzwquadizlwrk2u4ppevpf3773za66gbmht23tdmjox5c6g.py 2022-11-23T01:37:55.1155730Z [2022-11-23 01:33:41,125] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 307 2022-11-23T01:37:55.1155781Z 2022-11-23T01:37:55.1155875Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.1155942Z import torch 2022-11-23T01:37:55.1155998Z import random 2022-11-23T01:37:55.1156111Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.1156233Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.1156238Z 2022-11-23T01:37:55.1156318Z aten = torch.ops.aten 2022-11-23T01:37:55.1156452Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.1156541Z async_compile = AsyncCompile() 2022-11-23T01:37:55.1156546Z 2022-11-23T01:37:55.1156550Z 2022-11-23T01:37:55.1156686Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.1156890Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.1156996Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:37:55.1157098Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.1157195Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.1157259Z { 2022-11-23T01:37:55.1157333Z #pragma GCC ivdep 2022-11-23T01:37:55.1157417Z for(long i0=0; i0<8192; i0+=1) 2022-11-23T01:37:55.1157480Z { 2022-11-23T01:37:55.1157546Z #pragma GCC ivdep 2022-11-23T01:37:55.1157629Z for(long i1=0; i1<37; i1+=1) 2022-11-23T01:37:55.1157693Z { 2022-11-23T01:37:55.1157774Z #pragma GCC ivdep 2022-11-23T01:37:55.1157860Z for(long i2=0; i2<38; i2+=1) 2022-11-23T01:37:55.1157924Z { 2022-11-23T01:37:55.1157991Z { 2022-11-23T01:37:55.1158044Z { 2022-11-23T01:37:55.1158157Z auto tmp0 = static_cast(i2 + (38*i1)); 2022-11-23T01:37:55.1158271Z auto tmp1 = static_cast(((1 + i1) / 2)); 2022-11-23T01:37:55.1158380Z auto tmp2 = static_cast(((1 + i2) / 2)); 2022-11-23T01:37:55.1158489Z auto tmp3 = static_cast(1 + (i1 / 2)); 2022-11-23T01:37:55.1158599Z auto tmp4 = static_cast(1 + (i2 / 2)); 2022-11-23T01:37:55.1158703Z auto tmp5 = static_cast(0); 2022-11-23T01:37:55.1158809Z auto tmp6 = std::max(tmp1, tmp5); 2022-11-23T01:37:55.1158914Z auto tmp7 = std::max(tmp2, tmp5); 2022-11-23T01:37:55.1159018Z auto tmp8 = static_cast(19); 2022-11-23T01:37:55.1159124Z auto tmp9 = std::min(tmp3, tmp8); 2022-11-23T01:37:55.1159237Z auto tmp10 = std::min(tmp4, tmp8); 2022-11-23T01:37:55.1159331Z auto tmp11 = tmp6 + tmp5; 2022-11-23T01:37:55.1159427Z auto tmp12 = tmp7 + tmp5; 2022-11-23T01:37:55.1159528Z auto tmp13 = static_cast(1); 2022-11-23T01:37:55.1159662Z auto tmp14 = tmp9 - tmp13; 2022-11-23T01:37:55.1159773Z auto tmp15 = std::min(tmp11, tmp14); 2022-11-23T01:37:55.1159924Z auto tmp16 = tmp10 - tmp13; 2022-11-23T01:37:55.1160034Z auto tmp17 = std::min(tmp12, tmp16); 2022-11-23T01:37:55.1160152Z auto tmp18 = in_ptr0[tmp17 + (19*tmp15) + (361*i0)]; 2022-11-23T01:37:55.1160311Z auto tmp19 = in_ptr1[tmp17 + (19*tmp15) + (361*i0)]; 2022-11-23T01:37:55.1160409Z auto tmp20 = tmp18 == tmp0; 2022-11-23T01:37:55.1160504Z auto tmp21 = static_cast(0.0); 2022-11-23T01:37:55.1160606Z auto tmp22 = tmp20 ? tmp19 : tmp21; 2022-11-23T01:37:55.1160709Z out_ptr0[i2 + (38*i1) + (1406*i0)] = tmp22; 2022-11-23T01:37:55.1160777Z } 2022-11-23T01:37:55.1160844Z } 2022-11-23T01:37:55.1160909Z } 2022-11-23T01:37:55.1160973Z } 2022-11-23T01:37:55.1161022Z } 2022-11-23T01:37:55.1161082Z } 2022-11-23T01:37:55.1161197Z ''') 2022-11-23T01:37:55.1161202Z 2022-11-23T01:37:55.1161206Z 2022-11-23T01:37:55.1161299Z async_compile.wait(globals()) 2022-11-23T01:37:55.1161374Z del async_compile 2022-11-23T01:37:55.1161379Z 2022-11-23T01:37:55.1161451Z def call(args): 2022-11-23T01:37:55.1161536Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:55.1161606Z args.clear() 2022-11-23T01:37:55.1161827Z buf0 = empty_strided((32, 256, 37, 38), (359936, 1406, 38, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1161991Z kernel_cpp_0(c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.1162061Z del arg0_1 2022-11-23T01:37:55.1162130Z del arg2_1 2022-11-23T01:37:55.1162202Z return (buf0, ) 2022-11-23T01:37:55.1162207Z 2022-11-23T01:37:55.1162212Z 2022-11-23T01:37:55.1162289Z if __name__ == "__main__": 2022-11-23T01:37:55.1162406Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.1162518Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.1162753Z arg0_1 = rand_strided((32, 256, 19, 19), (92416, 361, 19, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1162981Z arg1_1 = rand_strided((32, 256, 37, 38), (359936, 1406, 38, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1163210Z arg2_1 = rand_strided((32, 256, 19, 19), (92416, 361, 19, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.1163334Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:55.1163339Z 2022-11-23T01:37:55.1163408Z ok (2.296s) 2022-11-23T01:37:55.1163755Z test_max_pool2d_with_indices_backward4_cpu (__main__.CpuTests) ... [2022-11-23 01:33:41,713] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.1164031Z [2022-11-23 01:33:41,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.1164253Z [2022-11-23 01:33:41,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.1164499Z [2022-11-23 01:33:41,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.1164787Z [2022-11-23 01:33:41,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.1165117Z [2022-11-23 01:33:41,713] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.1165448Z [2022-11-23 01:33:41,714] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.1165543Z 3984 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.1165668Z 2 LOAD_METHOD 1 (max_pool2d_with_indices_backward) 2022-11-23T01:37:55.1165673Z 2022-11-23T01:37:55.1165767Z 3985 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.1165857Z 6 LOAD_FAST 1 (b) 2022-11-23T01:37:55.1165944Z 8 LOAD_CONST 1 (5) 2022-11-23T01:37:55.1166018Z 10 LOAD_CONST 1 (5) 2022-11-23T01:37:55.1166104Z 12 BUILD_LIST 2 2022-11-23T01:37:55.1166190Z 14 LOAD_CONST 2 (1) 2022-11-23T01:37:55.1166313Z 16 LOAD_CONST 2 (1) 2022-11-23T01:37:55.1166399Z 18 BUILD_LIST 2 2022-11-23T01:37:55.1166483Z 20 LOAD_CONST 3 (2) 2022-11-23T01:37:55.1166566Z 22 LOAD_CONST 3 (2) 2022-11-23T01:37:55.1166639Z 24 BUILD_LIST 2 2022-11-23T01:37:55.1166723Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:55.1166806Z 28 LOAD_CONST 2 (1) 2022-11-23T01:37:55.1166890Z 30 BUILD_LIST 2 2022-11-23T01:37:55.1166979Z 32 LOAD_CONST 4 (False) 2022-11-23T01:37:55.1167098Z 34 LOAD_FAST 2 (c) 2022-11-23T01:37:55.1167184Z 36 CALL_METHOD 8 2022-11-23T01:37:55.1167249Z 38 RETURN_VALUE 2022-11-23T01:37:55.1167308Z 2022-11-23T01:37:55.1167314Z 2022-11-23T01:37:55.1167587Z [2022-11-23 01:33:41,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3984 2022-11-23T01:37:55.1167807Z [2022-11-23 01:33:41,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.1168158Z [2022-11-23 01:33:41,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices_backward [TorchVariable()] 2022-11-23T01:37:55.1168428Z [2022-11-23 01:33:41,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3985 2022-11-23T01:37:55.1168725Z [2022-11-23 01:33:41,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.max_pool2d_with_indices_backward)] 2022-11-23T01:37:55.1169052Z [2022-11-23 01:33:41,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable()] 2022-11-23T01:37:55.1169406Z [2022-11-23 01:33:41,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1169796Z [2022-11-23 01:33:41,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1170223Z [2022-11-23 01:33:41,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1170585Z [2022-11-23 01:33:41,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.1170999Z [2022-11-23 01:33:41,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1171451Z [2022-11-23 01:33:41,720] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1171851Z [2022-11-23 01:33:41,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:55.1172286Z [2022-11-23 01:33:41,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1172761Z [2022-11-23 01:33:41,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1173221Z [2022-11-23 01:33:41,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:55.1173682Z [2022-11-23 01:33:41,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1174180Z [2022-11-23 01:33:41,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1174672Z [2022-11-23 01:33:41,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:55.1175162Z [2022-11-23 01:33:41,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:37:55.1175684Z [2022-11-23 01:33:41,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), TensorVariable()] 2022-11-23T01:37:55.1175938Z [2022-11-23 01:33:41,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.1176272Z [2022-11-23 01:33:41,723] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.1176521Z [2022-11-23 01:33:41,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.1176759Z [2022-11-23 01:33:41,723] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.1177016Z [2022-11-23 01:33:41,724] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.1177257Z [2022-11-23 01:33:41,727] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.1177446Z [2022-11-23 01:33:41,728] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.1177582Z __compiled_fn_315 .2707 opcode, name, target, args, kwargs 2022-11-23T01:37:55.1177670Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.1177754Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.1177837Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:37:55.1178037Z call_function, max_pool2d_with_indices_backward, aten.max_pool2d_with_indices_backward, (ex_0_, ex_1_, [5, 5], [1, 1], [2, 2], [1, 1], False, ex_2_), {} 2022-11-23T01:37:55.1178167Z output, output, output, ((max_pool2d_with_indices_backward,),), {} 2022-11-23T01:37:55.1178173Z 2022-11-23T01:37:55.1178439Z [2022-11-23 01:33:41,728] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.1178533Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.1178621Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1178712Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.1178993Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.1179119Z 8 RETURN_VALUE 2022-11-23T01:37:55.1179126Z 2022-11-23T01:37:55.1179193Z 2022-11-23T01:37:55.1179473Z [2022-11-23 01:33:41,728] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.1179626Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_315) 2022-11-23T01:37:55.1179721Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1179808Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.1179884Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.1179971Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1180058Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.1180133Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.1180206Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1180292Z 16 LOAD_CONST 3 (2) 2022-11-23T01:37:55.1180405Z 18 BINARY_SUBSCR 2022-11-23T01:37:55.1180493Z 20 CALL_FUNCTION 3 2022-11-23T01:37:55.1180585Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.1180658Z 24 RETURN_VALUE 2022-11-23T01:37:55.1180664Z 2022-11-23T01:37:55.1180724Z 2022-11-23T01:37:55.1180899Z [2022-11-23 01:33:41,729] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.1180973Z - 2022-11-23T01:37:55.1181094Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.1181160Z { 2022-11-23T01:37:55.1181304Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.1181492Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 3'], 2022-11-23T01:37:55.1181613Z 'obj_weakref': None 2022-11-23T01:37:55.1181827Z 'guarded_class': 2022-11-23T01:37:55.1181891Z } 2022-11-23T01:37:55.1181953Z 2022-11-23T01:37:55.1182026Z - 2022-11-23T01:37:55.1182153Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.1182217Z { 2022-11-23T01:37:55.1182361Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1182457Z 'code': None, 2022-11-23T01:37:55.1182671Z 'obj_weakref': 2022-11-23T01:37:55.1182929Z 'guarded_class': 2022-11-23T01:37:55.1182992Z } 2022-11-23T01:37:55.1183055Z 2022-11-23T01:37:55.1183126Z - 2022-11-23T01:37:55.1183252Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.1183303Z { 2022-11-23T01:37:55.1183449Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1183558Z 'code': None, 2022-11-23T01:37:55.1183772Z 'obj_weakref': 2022-11-23T01:37:55.1184027Z 'guarded_class': 2022-11-23T01:37:55.1184089Z } 2022-11-23T01:37:55.1184150Z 2022-11-23T01:37:55.1184208Z - 2022-11-23T01:37:55.1184333Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:37:55.1184395Z { 2022-11-23T01:37:55.1184541Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1184648Z 'code': None, 2022-11-23T01:37:55.1184861Z 'obj_weakref': 2022-11-23T01:37:55.1185116Z 'guarded_class': 2022-11-23T01:37:55.1185167Z } 2022-11-23T01:37:55.1185228Z 2022-11-23T01:37:55.1185297Z - 2022-11-23T01:37:55.1185430Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.1185493Z { 2022-11-23T01:37:55.1185628Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.1185805Z 'code': ['___check_obj_id(model, 140538742289616)'], 2022-11-23T01:37:55.1185915Z 'obj_weakref': None 2022-11-23T01:37:55.1186145Z 'guarded_class': 2022-11-23T01:37:55.1186208Z } 2022-11-23T01:37:55.1186302Z 2022-11-23T01:37:55.1186375Z - 2022-11-23T01:37:55.1186499Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.1186562Z { 2022-11-23T01:37:55.1186686Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.1186902Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.1187023Z 'obj_weakref': None 2022-11-23T01:37:55.1187245Z 'guarded_class': 2022-11-23T01:37:55.1187307Z } 2022-11-23T01:37:55.1187369Z 2022-11-23T01:37:55.1187472Z - 2022-11-23T01:37:55.1187592Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.1187654Z { 2022-11-23T01:37:55.1187775Z 'guard_types': None, 2022-11-23T01:37:55.1187883Z 'code': None, 2022-11-23T01:37:55.1188003Z 'obj_weakref': None 2022-11-23T01:37:55.1188206Z 'guarded_class': None 2022-11-23T01:37:55.1188272Z } 2022-11-23T01:37:55.1188321Z 2022-11-23T01:37:55.1188588Z [2022-11-23 01:33:41,739] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 308 2022-11-23T01:37:55.1188594Z 2022-11-23T01:37:55.1188687Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.1188756Z import torch 2022-11-23T01:37:55.1188823Z import random 2022-11-23T01:37:55.1188938Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.1189060Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.1189065Z 2022-11-23T01:37:55.1189147Z aten = torch.ops.aten 2022-11-23T01:37:55.1189268Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.1189357Z async_compile = AsyncCompile() 2022-11-23T01:37:55.1189362Z 2022-11-23T01:37:55.1189366Z 2022-11-23T01:37:55.1189503Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.1189712Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.1189830Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:37:55.1189936Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.1190034Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.1190082Z { 2022-11-23T01:37:55.1190157Z #pragma GCC ivdep 2022-11-23T01:37:55.1190237Z for(long i0=0; i0<128; i0+=1) 2022-11-23T01:37:55.1190297Z { 2022-11-23T01:37:55.1190374Z #pragma GCC ivdep 2022-11-23T01:37:55.1190453Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:37:55.1190518Z { 2022-11-23T01:37:55.1190583Z #pragma GCC ivdep 2022-11-23T01:37:55.1190662Z for(long i2=0; i2<4; i2+=1) 2022-11-23T01:37:55.1190724Z { 2022-11-23T01:37:55.1190786Z { 2022-11-23T01:37:55.1190851Z { 2022-11-23T01:37:55.1190960Z auto tmp0 = static_cast(i2 + (4*i1)); 2022-11-23T01:37:55.1191128Z auto tmp1 = static_cast((-2) + i1); 2022-11-23T01:37:55.1191283Z auto tmp2 = static_cast((-2) + i2); 2022-11-23T01:37:55.1191390Z auto tmp3 = static_cast(3 + i1); 2022-11-23T01:37:55.1191496Z auto tmp4 = static_cast(3 + i2); 2022-11-23T01:37:55.1191596Z auto tmp5 = static_cast(0); 2022-11-23T01:37:55.1191711Z auto tmp6 = std::max(tmp1, tmp5); 2022-11-23T01:37:55.1191815Z auto tmp7 = std::max(tmp2, tmp5); 2022-11-23T01:37:55.1191920Z auto tmp8 = static_cast(3); 2022-11-23T01:37:55.1192024Z auto tmp9 = std::min(tmp3, tmp8); 2022-11-23T01:37:55.1192113Z auto tmp10 = static_cast(4); 2022-11-23T01:37:55.1192219Z auto tmp11 = std::min(tmp4, tmp10); 2022-11-23T01:37:55.1192348Z auto tmp12 = tmp6 + tmp5; 2022-11-23T01:37:55.1192443Z auto tmp13 = tmp7 + tmp5; 2022-11-23T01:37:55.1192543Z auto tmp14 = static_cast(1); 2022-11-23T01:37:55.1192691Z auto tmp15 = tmp9 - tmp14; 2022-11-23T01:37:55.1192800Z auto tmp16 = std::min(tmp12, tmp15); 2022-11-23T01:37:55.1192934Z auto tmp17 = tmp11 - tmp14; 2022-11-23T01:37:55.1193043Z auto tmp18 = std::min(tmp13, tmp17); 2022-11-23T01:37:55.1193157Z auto tmp19 = in_ptr0[tmp18 + (4*tmp16) + (12*i0)]; 2022-11-23T01:37:55.1193314Z auto tmp20 = in_ptr1[tmp18 + (4*tmp16) + (12*i0)]; 2022-11-23T01:37:55.1193409Z auto tmp21 = tmp19 == tmp0; 2022-11-23T01:37:55.1193514Z auto tmp22 = static_cast(0.0); 2022-11-23T01:37:55.1193615Z auto tmp23 = tmp21 ? tmp20 : tmp22; 2022-11-23T01:37:55.1193711Z auto tmp24 = tmp7 + tmp14; 2022-11-23T01:37:55.1193806Z auto tmp25 = std::min(tmp24, tmp17); 2022-11-23T01:37:55.1193917Z auto tmp26 = in_ptr0[tmp25 + (4*tmp16) + (12*i0)]; 2022-11-23T01:37:55.1194028Z auto tmp27 = in_ptr1[tmp25 + (4*tmp16) + (12*i0)]; 2022-11-23T01:37:55.1194121Z auto tmp28 = tmp26 == tmp0; 2022-11-23T01:37:55.1194211Z auto tmp29 = tmp12 < tmp9; 2022-11-23T01:37:55.1194302Z auto tmp30 = tmp24 < tmp11; 2022-11-23T01:37:55.1194390Z auto tmp31 = tmp29 & tmp30; 2022-11-23T01:37:55.1194481Z auto tmp32 = tmp31 & tmp28; 2022-11-23T01:37:55.1194557Z auto tmp33 = tmp23 + tmp27; 2022-11-23T01:37:55.1194658Z auto tmp34 = tmp32 ? tmp33 : tmp23; 2022-11-23T01:37:55.1194759Z auto tmp35 = static_cast(2); 2022-11-23T01:37:55.1194853Z auto tmp36 = tmp7 + tmp35; 2022-11-23T01:37:55.1194959Z auto tmp37 = std::min(tmp36, tmp17); 2022-11-23T01:37:55.1195070Z auto tmp38 = in_ptr0[tmp37 + (4*tmp16) + (12*i0)]; 2022-11-23T01:37:55.1195183Z auto tmp39 = in_ptr1[tmp37 + (4*tmp16) + (12*i0)]; 2022-11-23T01:37:55.1195265Z auto tmp40 = tmp38 == tmp0; 2022-11-23T01:37:55.1195356Z auto tmp41 = tmp36 < tmp11; 2022-11-23T01:37:55.1195445Z auto tmp42 = tmp29 & tmp41; 2022-11-23T01:37:55.1195538Z auto tmp43 = tmp42 & tmp40; 2022-11-23T01:37:55.1195625Z auto tmp44 = tmp34 + tmp39; 2022-11-23T01:37:55.1195725Z auto tmp45 = tmp43 ? tmp44 : tmp34; 2022-11-23T01:37:55.1195819Z auto tmp46 = tmp7 + tmp8; 2022-11-23T01:37:55.1195926Z auto tmp47 = std::min(tmp46, tmp17); 2022-11-23T01:37:55.1196027Z auto tmp48 = in_ptr0[tmp47 + (4*tmp16) + (12*i0)]; 2022-11-23T01:37:55.1196138Z auto tmp49 = in_ptr1[tmp47 + (4*tmp16) + (12*i0)]; 2022-11-23T01:37:55.1196229Z auto tmp50 = tmp48 == tmp0; 2022-11-23T01:37:55.1196318Z auto tmp51 = tmp46 < tmp11; 2022-11-23T01:37:55.1196406Z auto tmp52 = tmp29 & tmp51; 2022-11-23T01:37:55.1196494Z auto tmp53 = tmp52 & tmp50; 2022-11-23T01:37:55.1196583Z auto tmp54 = tmp45 + tmp49; 2022-11-23T01:37:55.1196674Z auto tmp55 = tmp53 ? tmp54 : tmp45; 2022-11-23T01:37:55.1196765Z auto tmp56 = tmp7 + tmp10; 2022-11-23T01:37:55.1196872Z auto tmp57 = std::min(tmp56, tmp17); 2022-11-23T01:37:55.1196986Z auto tmp58 = in_ptr0[tmp57 + (4*tmp16) + (12*i0)]; 2022-11-23T01:37:55.1197130Z auto tmp59 = in_ptr1[tmp57 + (4*tmp16) + (12*i0)]; 2022-11-23T01:37:55.1197223Z auto tmp60 = tmp58 == tmp0; 2022-11-23T01:37:55.1197315Z auto tmp61 = tmp56 < tmp11; 2022-11-23T01:37:55.1197407Z auto tmp62 = tmp29 & tmp61; 2022-11-23T01:37:55.1197485Z auto tmp63 = tmp62 & tmp60; 2022-11-23T01:37:55.1197575Z auto tmp64 = tmp55 + tmp59; 2022-11-23T01:37:55.1197679Z auto tmp65 = tmp63 ? tmp64 : tmp55; 2022-11-23T01:37:55.1197773Z auto tmp66 = tmp6 + tmp14; 2022-11-23T01:37:55.1197926Z auto tmp67 = std::min(tmp66, tmp15); 2022-11-23T01:37:55.1198035Z auto tmp68 = in_ptr0[tmp18 + (4*tmp67) + (12*i0)]; 2022-11-23T01:37:55.1198146Z auto tmp69 = in_ptr1[tmp18 + (4*tmp67) + (12*i0)]; 2022-11-23T01:37:55.1198226Z auto tmp70 = tmp68 == tmp0; 2022-11-23T01:37:55.1198324Z auto tmp71 = tmp66 < tmp9; 2022-11-23T01:37:55.1198416Z auto tmp72 = tmp13 < tmp11; 2022-11-23T01:37:55.1198506Z auto tmp73 = tmp71 & tmp72; 2022-11-23T01:37:55.1198595Z auto tmp74 = tmp73 & tmp70; 2022-11-23T01:37:55.1198688Z auto tmp75 = tmp65 + tmp69; 2022-11-23T01:37:55.1198788Z auto tmp76 = tmp74 ? tmp75 : tmp65; 2022-11-23T01:37:55.1198900Z auto tmp77 = in_ptr0[tmp25 + (4*tmp67) + (12*i0)]; 2022-11-23T01:37:55.1198998Z auto tmp78 = in_ptr1[tmp25 + (4*tmp67) + (12*i0)]; 2022-11-23T01:37:55.1199095Z auto tmp79 = tmp77 == tmp0; 2022-11-23T01:37:55.1199184Z auto tmp80 = tmp71 & tmp30; 2022-11-23T01:37:55.1199277Z auto tmp81 = tmp80 & tmp79; 2022-11-23T01:37:55.1199367Z auto tmp82 = tmp76 + tmp78; 2022-11-23T01:37:55.1199473Z auto tmp83 = tmp81 ? tmp82 : tmp76; 2022-11-23T01:37:55.1199585Z auto tmp84 = in_ptr0[tmp37 + (4*tmp67) + (12*i0)]; 2022-11-23T01:37:55.1199683Z auto tmp85 = in_ptr1[tmp37 + (4*tmp67) + (12*i0)]; 2022-11-23T01:37:55.1199775Z auto tmp86 = tmp84 == tmp0; 2022-11-23T01:37:55.1199866Z auto tmp87 = tmp71 & tmp41; 2022-11-23T01:37:55.1199958Z auto tmp88 = tmp87 & tmp86; 2022-11-23T01:37:55.1200048Z auto tmp89 = tmp83 + tmp85; 2022-11-23T01:37:55.1200152Z auto tmp90 = tmp88 ? tmp89 : tmp83; 2022-11-23T01:37:55.1200262Z auto tmp91 = in_ptr0[tmp47 + (4*tmp67) + (12*i0)]; 2022-11-23T01:37:55.1200372Z auto tmp92 = in_ptr1[tmp47 + (4*tmp67) + (12*i0)]; 2022-11-23T01:37:55.1200451Z auto tmp93 = tmp91 == tmp0; 2022-11-23T01:37:55.1200545Z auto tmp94 = tmp71 & tmp51; 2022-11-23T01:37:55.1200639Z auto tmp95 = tmp94 & tmp93; 2022-11-23T01:37:55.1200731Z auto tmp96 = tmp90 + tmp92; 2022-11-23T01:37:55.1200833Z auto tmp97 = tmp95 ? tmp96 : tmp90; 2022-11-23T01:37:55.1200947Z auto tmp98 = in_ptr0[tmp57 + (4*tmp67) + (12*i0)]; 2022-11-23T01:37:55.1201059Z auto tmp99 = in_ptr1[tmp57 + (4*tmp67) + (12*i0)]; 2022-11-23T01:37:55.1201144Z auto tmp100 = tmp98 == tmp0; 2022-11-23T01:37:55.1201239Z auto tmp101 = tmp71 & tmp61; 2022-11-23T01:37:55.1201340Z auto tmp102 = tmp101 & tmp100; 2022-11-23T01:37:55.1201436Z auto tmp103 = tmp97 + tmp99; 2022-11-23T01:37:55.1201544Z auto tmp104 = tmp102 ? tmp103 : tmp97; 2022-11-23T01:37:55.1201640Z auto tmp105 = tmp6 + tmp35; 2022-11-23T01:37:55.1201818Z auto tmp106 = std::min(tmp105, tmp15); 2022-11-23T01:37:55.1201938Z auto tmp107 = in_ptr0[tmp18 + (4*tmp106) + (12*i0)]; 2022-11-23T01:37:55.1202042Z auto tmp108 = in_ptr1[tmp18 + (4*tmp106) + (12*i0)]; 2022-11-23T01:37:55.1202140Z auto tmp109 = tmp107 == tmp0; 2022-11-23T01:37:55.1202237Z auto tmp110 = tmp105 < tmp9; 2022-11-23T01:37:55.1202333Z auto tmp111 = tmp110 & tmp72; 2022-11-23T01:37:55.1202433Z auto tmp112 = tmp111 & tmp109; 2022-11-23T01:37:55.1202559Z auto tmp113 = tmp104 + tmp108; 2022-11-23T01:37:55.1202667Z auto tmp114 = tmp112 ? tmp113 : tmp104; 2022-11-23T01:37:55.1202770Z auto tmp115 = in_ptr0[tmp25 + (4*tmp106) + (12*i0)]; 2022-11-23T01:37:55.1202887Z auto tmp116 = in_ptr1[tmp25 + (4*tmp106) + (12*i0)]; 2022-11-23T01:37:55.1202985Z auto tmp117 = tmp115 == tmp0; 2022-11-23T01:37:55.1203078Z auto tmp118 = tmp110 & tmp30; 2022-11-23T01:37:55.1203172Z auto tmp119 = tmp118 & tmp117; 2022-11-23T01:37:55.1203267Z auto tmp120 = tmp114 + tmp116; 2022-11-23T01:37:55.1203371Z auto tmp121 = tmp119 ? tmp120 : tmp114; 2022-11-23T01:37:55.1203485Z auto tmp122 = in_ptr0[tmp37 + (4*tmp106) + (12*i0)]; 2022-11-23T01:37:55.1203587Z auto tmp123 = in_ptr1[tmp37 + (4*tmp106) + (12*i0)]; 2022-11-23T01:37:55.1203684Z auto tmp124 = tmp122 == tmp0; 2022-11-23T01:37:55.1203778Z auto tmp125 = tmp110 & tmp41; 2022-11-23T01:37:55.1203872Z auto tmp126 = tmp125 & tmp124; 2022-11-23T01:37:55.1203965Z auto tmp127 = tmp121 + tmp123; 2022-11-23T01:37:55.1204071Z auto tmp128 = tmp126 ? tmp127 : tmp121; 2022-11-23T01:37:55.1204185Z auto tmp129 = in_ptr0[tmp47 + (4*tmp106) + (12*i0)]; 2022-11-23T01:37:55.1204298Z auto tmp130 = in_ptr1[tmp47 + (4*tmp106) + (12*i0)]; 2022-11-23T01:37:55.1204381Z auto tmp131 = tmp129 == tmp0; 2022-11-23T01:37:55.1204473Z auto tmp132 = tmp110 & tmp51; 2022-11-23T01:37:55.1204567Z auto tmp133 = tmp132 & tmp131; 2022-11-23T01:37:55.1204661Z auto tmp134 = tmp128 + tmp130; 2022-11-23T01:37:55.1204763Z auto tmp135 = tmp133 ? tmp134 : tmp128; 2022-11-23T01:37:55.1204878Z auto tmp136 = in_ptr0[tmp57 + (4*tmp106) + (12*i0)]; 2022-11-23T01:37:55.1204990Z auto tmp137 = in_ptr1[tmp57 + (4*tmp106) + (12*i0)]; 2022-11-23T01:37:55.1205071Z auto tmp138 = tmp136 == tmp0; 2022-11-23T01:37:55.1205165Z auto tmp139 = tmp110 & tmp61; 2022-11-23T01:37:55.1205259Z auto tmp140 = tmp139 & tmp138; 2022-11-23T01:37:55.1205353Z auto tmp141 = tmp135 + tmp137; 2022-11-23T01:37:55.1205455Z auto tmp142 = tmp140 ? tmp141 : tmp135; 2022-11-23T01:37:55.1205548Z auto tmp143 = tmp6 + tmp8; 2022-11-23T01:37:55.1205657Z auto tmp144 = std::min(tmp143, tmp15); 2022-11-23T01:37:55.1205773Z auto tmp145 = in_ptr0[tmp18 + (4*tmp144) + (12*i0)]; 2022-11-23T01:37:55.1205874Z auto tmp146 = in_ptr1[tmp18 + (4*tmp144) + (12*i0)]; 2022-11-23T01:37:55.1205969Z auto tmp147 = tmp145 == tmp0; 2022-11-23T01:37:55.1206061Z auto tmp148 = tmp143 < tmp9; 2022-11-23T01:37:55.1206152Z auto tmp149 = tmp148 & tmp72; 2022-11-23T01:37:55.1206245Z auto tmp150 = tmp149 & tmp147; 2022-11-23T01:37:55.1206365Z auto tmp151 = tmp142 + tmp146; 2022-11-23T01:37:55.1206470Z auto tmp152 = tmp150 ? tmp151 : tmp142; 2022-11-23T01:37:55.1206570Z auto tmp153 = in_ptr0[tmp25 + (4*tmp144) + (12*i0)]; 2022-11-23T01:37:55.1206681Z auto tmp154 = in_ptr1[tmp25 + (4*tmp144) + (12*i0)]; 2022-11-23T01:37:55.1206775Z auto tmp155 = tmp153 == tmp0; 2022-11-23T01:37:55.1206870Z auto tmp156 = tmp148 & tmp30; 2022-11-23T01:37:55.1206962Z auto tmp157 = tmp156 & tmp155; 2022-11-23T01:37:55.1207085Z auto tmp158 = tmp152 + tmp154; 2022-11-23T01:37:55.1207189Z auto tmp159 = tmp157 ? tmp158 : tmp152; 2022-11-23T01:37:55.1207303Z auto tmp160 = in_ptr0[tmp37 + (4*tmp144) + (12*i0)]; 2022-11-23T01:37:55.1207403Z auto tmp161 = in_ptr1[tmp37 + (4*tmp144) + (12*i0)]; 2022-11-23T01:37:55.1207496Z auto tmp162 = tmp160 == tmp0; 2022-11-23T01:37:55.1207588Z auto tmp163 = tmp148 & tmp41; 2022-11-23T01:37:55.1207682Z auto tmp164 = tmp163 & tmp162; 2022-11-23T01:37:55.1207776Z auto tmp165 = tmp159 + tmp161; 2022-11-23T01:37:55.1207882Z auto tmp166 = tmp164 ? tmp165 : tmp159; 2022-11-23T01:37:55.1207993Z auto tmp167 = in_ptr0[tmp47 + (4*tmp144) + (12*i0)]; 2022-11-23T01:37:55.1208104Z auto tmp168 = in_ptr1[tmp47 + (4*tmp144) + (12*i0)]; 2022-11-23T01:37:55.1208188Z auto tmp169 = tmp167 == tmp0; 2022-11-23T01:37:55.1208277Z auto tmp170 = tmp148 & tmp51; 2022-11-23T01:37:55.1208370Z auto tmp171 = tmp170 & tmp169; 2022-11-23T01:37:55.1208463Z auto tmp172 = tmp166 + tmp168; 2022-11-23T01:37:55.1208567Z auto tmp173 = tmp171 ? tmp172 : tmp166; 2022-11-23T01:37:55.1208679Z auto tmp174 = in_ptr0[tmp57 + (4*tmp144) + (12*i0)]; 2022-11-23T01:37:55.1208791Z auto tmp175 = in_ptr1[tmp57 + (4*tmp144) + (12*i0)]; 2022-11-23T01:37:55.1208872Z auto tmp176 = tmp174 == tmp0; 2022-11-23T01:37:55.1208963Z auto tmp177 = tmp148 & tmp61; 2022-11-23T01:37:55.1209056Z auto tmp178 = tmp177 & tmp176; 2022-11-23T01:37:55.1209149Z auto tmp179 = tmp173 + tmp175; 2022-11-23T01:37:55.1209252Z auto tmp180 = tmp178 ? tmp179 : tmp173; 2022-11-23T01:37:55.1209346Z auto tmp181 = tmp6 + tmp10; 2022-11-23T01:37:55.1209455Z auto tmp182 = std::min(tmp181, tmp15); 2022-11-23T01:37:55.1209567Z auto tmp183 = in_ptr0[tmp18 + (4*tmp182) + (12*i0)]; 2022-11-23T01:37:55.1209671Z auto tmp184 = in_ptr1[tmp18 + (4*tmp182) + (12*i0)]; 2022-11-23T01:37:55.1209762Z auto tmp185 = tmp183 == tmp0; 2022-11-23T01:37:55.1209855Z auto tmp186 = tmp181 < tmp9; 2022-11-23T01:37:55.1209949Z auto tmp187 = tmp186 & tmp72; 2022-11-23T01:37:55.1210041Z auto tmp188 = tmp187 & tmp185; 2022-11-23T01:37:55.1210136Z auto tmp189 = tmp180 + tmp184; 2022-11-23T01:37:55.1210237Z auto tmp190 = tmp188 ? tmp189 : tmp180; 2022-11-23T01:37:55.1210338Z auto tmp191 = in_ptr0[tmp25 + (4*tmp182) + (12*i0)]; 2022-11-23T01:37:55.1210451Z auto tmp192 = in_ptr1[tmp25 + (4*tmp182) + (12*i0)]; 2022-11-23T01:37:55.1210544Z auto tmp193 = tmp191 == tmp0; 2022-11-23T01:37:55.1210635Z auto tmp194 = tmp186 & tmp30; 2022-11-23T01:37:55.1210729Z auto tmp195 = tmp194 & tmp193; 2022-11-23T01:37:55.1210851Z auto tmp196 = tmp190 + tmp192; 2022-11-23T01:37:55.1210955Z auto tmp197 = tmp195 ? tmp196 : tmp190; 2022-11-23T01:37:55.1211067Z auto tmp198 = in_ptr0[tmp37 + (4*tmp182) + (12*i0)]; 2022-11-23T01:37:55.1211167Z auto tmp199 = in_ptr1[tmp37 + (4*tmp182) + (12*i0)]; 2022-11-23T01:37:55.1211261Z auto tmp200 = tmp198 == tmp0; 2022-11-23T01:37:55.1211353Z auto tmp201 = tmp186 & tmp41; 2022-11-23T01:37:55.1211445Z auto tmp202 = tmp201 & tmp200; 2022-11-23T01:37:55.1211568Z auto tmp203 = tmp197 + tmp199; 2022-11-23T01:37:55.1211672Z auto tmp204 = tmp202 ? tmp203 : tmp197; 2022-11-23T01:37:55.1211784Z auto tmp205 = in_ptr0[tmp47 + (4*tmp182) + (12*i0)]; 2022-11-23T01:37:55.1211883Z auto tmp206 = in_ptr1[tmp47 + (4*tmp182) + (12*i0)]; 2022-11-23T01:37:55.1211977Z auto tmp207 = tmp205 == tmp0; 2022-11-23T01:37:55.1212068Z auto tmp208 = tmp186 & tmp51; 2022-11-23T01:37:55.1212160Z auto tmp209 = tmp208 & tmp207; 2022-11-23T01:37:55.1212254Z auto tmp210 = tmp204 + tmp206; 2022-11-23T01:37:55.1212357Z auto tmp211 = tmp209 ? tmp210 : tmp204; 2022-11-23T01:37:55.1212470Z auto tmp212 = in_ptr0[tmp57 + (4*tmp182) + (12*i0)]; 2022-11-23T01:37:55.1212581Z auto tmp213 = in_ptr1[tmp57 + (4*tmp182) + (12*i0)]; 2022-11-23T01:37:55.1212665Z auto tmp214 = tmp212 == tmp0; 2022-11-23T01:37:55.1212757Z auto tmp215 = tmp186 & tmp61; 2022-11-23T01:37:55.1212853Z auto tmp216 = tmp215 & tmp214; 2022-11-23T01:37:55.1212946Z auto tmp217 = tmp211 + tmp213; 2022-11-23T01:37:55.1213048Z auto tmp218 = tmp216 ? tmp217 : tmp211; 2022-11-23T01:37:55.1213152Z out_ptr0[i2 + (4*i1) + (12*i0)] = tmp218; 2022-11-23T01:37:55.1213218Z } 2022-11-23T01:37:55.1213270Z } 2022-11-23T01:37:55.1213331Z } 2022-11-23T01:37:55.1213394Z } 2022-11-23T01:37:55.1213456Z } 2022-11-23T01:37:55.1213514Z } 2022-11-23T01:37:55.1213610Z ''') 2022-11-23T01:37:55.1213616Z 2022-11-23T01:37:55.1213621Z 2022-11-23T01:37:55.1213710Z async_compile.wait(globals()) 2022-11-23T01:37:55.1213770Z del async_compile 2022-11-23T01:37:55.1213787Z 2022-11-23T01:37:55.1213845Z def call(args): 2022-11-23T01:37:55.1213929Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:55.1213999Z args.clear() 2022-11-23T01:37:55.1214225Z buf0 = empty_strided((2, 64, 3, 4), (768, 12, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1214390Z kernel_cpp_0(c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.1214457Z del arg0_1 2022-11-23T01:37:55.1214525Z del arg2_1 2022-11-23T01:37:55.1214584Z return (buf0, ) 2022-11-23T01:37:55.1214589Z 2022-11-23T01:37:55.1214593Z 2022-11-23T01:37:55.1214671Z if __name__ == "__main__": 2022-11-23T01:37:55.1214783Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.1214907Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.1215126Z arg0_1 = rand_strided((2, 64, 3, 4), (768, 12, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1215341Z arg1_1 = rand_strided((2, 64, 3, 4), (768, 12, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1215556Z arg2_1 = rand_strided((2, 64, 3, 4), (768, 12, 4, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.1215678Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:55.1216054Z [2022-11-23 01:33:43,431] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4h/c4hsxbjr5gfhbdtgqdwzdtbwkpsdjqnpp3hwseztbe5mkbh23jjf.py 2022-11-23T01:37:55.1216359Z [2022-11-23 01:33:43,431] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 308 2022-11-23T01:37:55.1216366Z 2022-11-23T01:37:55.1216435Z ok (1.727s) 2022-11-23T01:37:55.1216784Z test_max_pool2d_with_indices_backward5_cpu (__main__.CpuTests) ... [2022-11-23 01:33:43,444] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.1217057Z [2022-11-23 01:33:43,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.1217278Z [2022-11-23 01:33:43,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.1217565Z [2022-11-23 01:33:43,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.1217859Z [2022-11-23 01:33:43,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.1218191Z [2022-11-23 01:33:43,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.1218524Z [2022-11-23 01:33:43,445] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.1218609Z 4011 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.1218883Z 2 LOAD_METHOD 1 (max_pool2d_with_indices_backward) 2022-11-23T01:37:55.1218894Z 2022-11-23T01:37:55.1219043Z 4012 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.1219147Z 6 LOAD_FAST 1 (b) 2022-11-23T01:37:55.1219238Z 8 LOAD_CONST 1 (13) 2022-11-23T01:37:55.1219327Z 10 LOAD_CONST 1 (13) 2022-11-23T01:37:55.1219414Z 12 BUILD_LIST 2 2022-11-23T01:37:55.1219502Z 14 LOAD_CONST 2 (1) 2022-11-23T01:37:55.1219579Z 16 LOAD_CONST 2 (1) 2022-11-23T01:37:55.1219665Z 18 BUILD_LIST 2 2022-11-23T01:37:55.1219753Z 20 LOAD_CONST 3 (2) 2022-11-23T01:37:55.1219841Z 22 LOAD_CONST 3 (2) 2022-11-23T01:37:55.1219926Z 24 BUILD_LIST 2 2022-11-23T01:37:55.1220011Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:55.1220095Z 28 LOAD_CONST 2 (1) 2022-11-23T01:37:55.1220167Z 30 BUILD_LIST 2 2022-11-23T01:37:55.1220258Z 32 LOAD_CONST 4 (False) 2022-11-23T01:37:55.1220344Z 34 LOAD_FAST 2 (c) 2022-11-23T01:37:55.1220430Z 36 CALL_METHOD 8 2022-11-23T01:37:55.1220511Z 38 RETURN_VALUE 2022-11-23T01:37:55.1220573Z 2022-11-23T01:37:55.1220578Z 2022-11-23T01:37:55.1220861Z [2022-11-23 01:33:43,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4011 2022-11-23T01:37:55.1221069Z [2022-11-23 01:33:43,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.1221428Z [2022-11-23 01:33:43,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices_backward [TorchVariable()] 2022-11-23T01:37:55.1221696Z [2022-11-23 01:33:43,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4012 2022-11-23T01:37:55.1221990Z [2022-11-23 01:33:43,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.max_pool2d_with_indices_backward)] 2022-11-23T01:37:55.1222316Z [2022-11-23 01:33:43,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable()] 2022-11-23T01:37:55.1222731Z [2022-11-23 01:33:43,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1223125Z [2022-11-23 01:33:43,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 13 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1223552Z [2022-11-23 01:33:43,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1223927Z [2022-11-23 01:33:43,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.1224389Z [2022-11-23 01:33:43,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1224838Z [2022-11-23 01:33:43,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1225239Z [2022-11-23 01:33:43,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:55.1225680Z [2022-11-23 01:33:43,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1226158Z [2022-11-23 01:33:43,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1226581Z [2022-11-23 01:33:43,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:55.1227030Z [2022-11-23 01:33:43,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1227535Z [2022-11-23 01:33:43,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1227996Z [2022-11-23 01:33:43,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:55.1228573Z [2022-11-23 01:33:43,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:37:55.1229104Z [2022-11-23 01:33:43,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), TensorVariable()] 2022-11-23T01:37:55.1229361Z [2022-11-23 01:33:43,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.1229698Z [2022-11-23 01:33:43,454] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.1229988Z [2022-11-23 01:33:43,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.1230231Z [2022-11-23 01:33:43,454] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.1230488Z [2022-11-23 01:33:43,455] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.1230741Z [2022-11-23 01:33:43,459] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.1230937Z [2022-11-23 01:33:43,459] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.1231104Z __compiled_fn_316 .2713 opcode, name, target, args, kwargs 2022-11-23T01:37:55.1231181Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.1231268Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.1231354Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:37:55.1231555Z call_function, max_pool2d_with_indices_backward, aten.max_pool2d_with_indices_backward, (ex_0_, ex_1_, [13, 13], [1, 1], [2, 2], [1, 1], False, ex_2_), {} 2022-11-23T01:37:55.1231687Z output, output, output, ((max_pool2d_with_indices_backward,),), {} 2022-11-23T01:37:55.1231693Z 2022-11-23T01:37:55.1231972Z [2022-11-23 01:33:43,459] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.1232066Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.1232156Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1232236Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.1232329Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.1232405Z 8 RETURN_VALUE 2022-11-23T01:37:55.1232410Z 2022-11-23T01:37:55.1232469Z 2022-11-23T01:37:55.1232744Z [2022-11-23 01:33:43,459] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.1232854Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_316) 2022-11-23T01:37:55.1232943Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1233020Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.1233095Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.1233180Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1233266Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.1233341Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.1233425Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1233509Z 16 LOAD_CONST 3 (2) 2022-11-23T01:37:55.1233572Z 18 BINARY_SUBSCR 2022-11-23T01:37:55.1233659Z 20 CALL_FUNCTION 3 2022-11-23T01:37:55.1233747Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.1233820Z 24 RETURN_VALUE 2022-11-23T01:37:55.1233825Z 2022-11-23T01:37:55.1233884Z 2022-11-23T01:37:55.1234070Z [2022-11-23 01:33:43,460] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.1234142Z - 2022-11-23T01:37:55.1234250Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.1234314Z { 2022-11-23T01:37:55.1234454Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.1234645Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 3'], 2022-11-23T01:37:55.1234766Z 'obj_weakref': None 2022-11-23T01:37:55.1234993Z 'guarded_class': 2022-11-23T01:37:55.1235056Z } 2022-11-23T01:37:55.1235118Z 2022-11-23T01:37:55.1235179Z - 2022-11-23T01:37:55.1235306Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.1235368Z { 2022-11-23T01:37:55.1235513Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1235620Z 'code': None, 2022-11-23T01:37:55.1235834Z 'obj_weakref': 2022-11-23T01:37:55.1236122Z 'guarded_class': 2022-11-23T01:37:55.1236174Z } 2022-11-23T01:37:55.1236235Z 2022-11-23T01:37:55.1236307Z - 2022-11-23T01:37:55.1236431Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.1236493Z { 2022-11-23T01:37:55.1236637Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1236734Z 'code': None, 2022-11-23T01:37:55.1236952Z 'obj_weakref': 2022-11-23T01:37:55.1237257Z 'guarded_class': 2022-11-23T01:37:55.1237322Z } 2022-11-23T01:37:55.1237386Z 2022-11-23T01:37:55.1237460Z - 2022-11-23T01:37:55.1237586Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:37:55.1237636Z { 2022-11-23T01:37:55.1237784Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1237894Z 'code': None, 2022-11-23T01:37:55.1238110Z 'obj_weakref': 2022-11-23T01:37:55.1238368Z 'guarded_class': 2022-11-23T01:37:55.1238435Z } 2022-11-23T01:37:55.1238500Z 2022-11-23T01:37:55.1238572Z - 2022-11-23T01:37:55.1238691Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.1238756Z { 2022-11-23T01:37:55.1238898Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.1239073Z 'code': ['___check_obj_id(model, 140538744243840)'], 2022-11-23T01:37:55.1239196Z 'obj_weakref': None 2022-11-23T01:37:55.1239429Z 'guarded_class': 2022-11-23T01:37:55.1239494Z } 2022-11-23T01:37:55.1239546Z 2022-11-23T01:37:55.1239619Z - 2022-11-23T01:37:55.1239744Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.1239810Z { 2022-11-23T01:37:55.1239949Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.1240169Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.1240291Z 'obj_weakref': None 2022-11-23T01:37:55.1240500Z 'guarded_class': 2022-11-23T01:37:55.1240565Z } 2022-11-23T01:37:55.1240632Z 2022-11-23T01:37:55.1240705Z - 2022-11-23T01:37:55.1240840Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.1240905Z { 2022-11-23T01:37:55.1241013Z 'guard_types': None, 2022-11-23T01:37:55.1241124Z 'code': None, 2022-11-23T01:37:55.1241244Z 'obj_weakref': None 2022-11-23T01:37:55.1241371Z 'guarded_class': None 2022-11-23T01:37:55.1241436Z } 2022-11-23T01:37:55.1241499Z 2022-11-23T01:37:55.1241761Z [2022-11-23 01:33:43,467] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 309 2022-11-23T01:37:55.1242025Z [2022-11-23 01:33:43,470] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.max_pool2d_with_indices_backward 2022-11-23T01:37:55.1242383Z [2022-11-23 01:33:43,473] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fu/cfux5xyoy7kdgjialfvxmlfwnlwio22747wkgi6cmiyqorlc2evs.py 2022-11-23T01:37:55.1242651Z [2022-11-23 01:33:43,473] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 309 2022-11-23T01:37:55.1242660Z 2022-11-23T01:37:55.1242755Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.1242825Z import torch 2022-11-23T01:37:55.1242895Z import random 2022-11-23T01:37:55.1243011Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.1243166Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.1243172Z 2022-11-23T01:37:55.1243253Z aten = torch.ops.aten 2022-11-23T01:37:55.1243375Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.1243468Z async_compile = AsyncCompile() 2022-11-23T01:37:55.1243473Z 2022-11-23T01:37:55.1243478Z 2022-11-23T01:37:55.1243567Z async_compile.wait(globals()) 2022-11-23T01:37:55.1243640Z del async_compile 2022-11-23T01:37:55.1243646Z 2022-11-23T01:37:55.1243714Z def call(args): 2022-11-23T01:37:55.1243798Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:55.1243869Z args.clear() 2022-11-23T01:37:55.1244057Z buf0 = aten.max_pool2d_with_indices_backward(arg0_1, arg1_1, [13, 13], [1, 1], [2, 2], [1, 1], False, arg2_1) 2022-11-23T01:37:55.1244113Z del arg0_1 2022-11-23T01:37:55.1244178Z del arg1_1 2022-11-23T01:37:55.1244243Z del arg2_1 2022-11-23T01:37:55.1244308Z buf1 = buf0 2022-11-23T01:37:55.1244420Z assert_size_stride(buf1, (2, 64, 20, 20), (25600, 400, 20, 1)) 2022-11-23T01:37:55.1244484Z del buf0 2022-11-23T01:37:55.1244544Z return (buf1, ) 2022-11-23T01:37:55.1244559Z 2022-11-23T01:37:55.1244563Z 2022-11-23T01:37:55.1244626Z if __name__ == "__main__": 2022-11-23T01:37:55.1244737Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.1244857Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.1245082Z arg0_1 = rand_strided((2, 64, 12, 12), (9216, 144, 12, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1245306Z arg1_1 = rand_strided((2, 64, 20, 20), (25600, 400, 20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1245530Z arg2_1 = rand_strided((2, 64, 12, 12), (9216, 144, 12, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.1245652Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:55.1245657Z 2022-11-23T01:37:55.1245723Z ok (0.042s) 2022-11-23T01:37:55.1246063Z test_max_pool2d_with_indices_backward_cpu (__main__.CpuTests) ... [2022-11-23 01:33:43,480] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.1246335Z [2022-11-23 01:33:43,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.1246556Z [2022-11-23 01:33:43,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.1246812Z [2022-11-23 01:33:43,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.1247101Z [2022-11-23 01:33:43,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.1247428Z [2022-11-23 01:33:43,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.1247761Z [2022-11-23 01:33:43,480] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.1247856Z 3908 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.1247984Z 2 LOAD_METHOD 1 (max_pool2d_with_indices_backward) 2022-11-23T01:37:55.1247989Z 2022-11-23T01:37:55.1248079Z 3909 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.1248156Z 6 LOAD_FAST 1 (b) 2022-11-23T01:37:55.1248244Z 8 LOAD_CONST 1 (2) 2022-11-23T01:37:55.1248330Z 10 LOAD_CONST 1 (2) 2022-11-23T01:37:55.1248416Z 12 BUILD_LIST 2 2022-11-23T01:37:55.1248503Z 14 LOAD_CONST 1 (2) 2022-11-23T01:37:55.1248589Z 16 LOAD_CONST 1 (2) 2022-11-23T01:37:55.1248672Z 18 BUILD_LIST 2 2022-11-23T01:37:55.1248745Z 20 LOAD_CONST 2 (0) 2022-11-23T01:37:55.1248828Z 22 LOAD_CONST 2 (0) 2022-11-23T01:37:55.1248942Z 24 BUILD_LIST 2 2022-11-23T01:37:55.1249029Z 26 LOAD_CONST 3 (1) 2022-11-23T01:37:55.1249111Z 28 LOAD_CONST 3 (1) 2022-11-23T01:37:55.1249193Z 30 BUILD_LIST 2 2022-11-23T01:37:55.1249287Z 32 LOAD_CONST 4 (False) 2022-11-23T01:37:55.1249359Z 34 LOAD_FAST 2 (c) 2022-11-23T01:37:55.1249445Z 36 CALL_METHOD 8 2022-11-23T01:37:55.1249519Z 38 RETURN_VALUE 2022-11-23T01:37:55.1249580Z 2022-11-23T01:37:55.1249615Z 2022-11-23T01:37:55.1249891Z [2022-11-23 01:33:43,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3908 2022-11-23T01:37:55.1250112Z [2022-11-23 01:33:43,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.1250466Z [2022-11-23 01:33:43,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max_pool2d_with_indices_backward [TorchVariable()] 2022-11-23T01:37:55.1250738Z [2022-11-23 01:33:43,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3909 2022-11-23T01:37:55.1251018Z [2022-11-23 01:33:43,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.max_pool2d_with_indices_backward)] 2022-11-23T01:37:55.1251339Z [2022-11-23 01:33:43,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable()] 2022-11-23T01:37:55.1251692Z [2022-11-23 01:33:43,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1252081Z [2022-11-23 01:33:43,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1252508Z [2022-11-23 01:33:43,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1252884Z [2022-11-23 01:33:43,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.1253302Z [2022-11-23 01:33:43,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1253758Z [2022-11-23 01:33:43,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1254159Z [2022-11-23 01:33:43,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:55.1254597Z [2022-11-23 01:33:43,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1255074Z [2022-11-23 01:33:43,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1255498Z [2022-11-23 01:33:43,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:55.1255992Z [2022-11-23 01:33:43,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1256492Z [2022-11-23 01:33:43,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1256945Z [2022-11-23 01:33:43,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:55.1257469Z [2022-11-23 01:33:43,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:37:55.1257995Z [2022-11-23 01:33:43,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 8 [TorchVariable(aten.max_pool2d_with_indices_backward), TensorVariable(), TensorVariable(), ListVariable(), ListVariable(), ListVariable(), ListVariable(), ConstantVariable(bool), TensorVariable()] 2022-11-23T01:37:55.1258246Z [2022-11-23 01:33:43,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.1258569Z [2022-11-23 01:33:43,488] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.1259007Z [2022-11-23 01:33:43,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.1259287Z [2022-11-23 01:33:43,488] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.1259545Z [2022-11-23 01:33:43,489] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.1259800Z [2022-11-23 01:33:43,492] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.1259994Z [2022-11-23 01:33:43,493] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.1260129Z __compiled_fn_317 .2719 opcode, name, target, args, kwargs 2022-11-23T01:37:55.1260220Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.1260307Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.1260381Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:37:55.1260581Z call_function, max_pool2d_with_indices_backward, aten.max_pool2d_with_indices_backward, (ex_0_, ex_1_, [2, 2], [2, 2], [0, 0], [1, 1], False, ex_2_), {} 2022-11-23T01:37:55.1260712Z output, output, output, ((max_pool2d_with_indices_backward,),), {} 2022-11-23T01:37:55.1260719Z 2022-11-23T01:37:55.1261001Z [2022-11-23 01:33:43,493] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.1261096Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.1261187Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1261281Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.1261371Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.1261435Z 8 RETURN_VALUE 2022-11-23T01:37:55.1261440Z 2022-11-23T01:37:55.1261502Z 2022-11-23T01:37:55.1261779Z [2022-11-23 01:33:43,493] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.1261892Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_317) 2022-11-23T01:37:55.1261981Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1262069Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.1262146Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.1262277Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1262368Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.1262446Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.1262532Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1262617Z 16 LOAD_CONST 3 (2) 2022-11-23T01:37:55.1262691Z 18 BINARY_SUBSCR 2022-11-23T01:37:55.1262780Z 20 CALL_FUNCTION 3 2022-11-23T01:37:55.1262860Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.1262939Z 24 RETURN_VALUE 2022-11-23T01:37:55.1262944Z 2022-11-23T01:37:55.1263041Z 2022-11-23T01:37:55.1263229Z [2022-11-23 01:33:43,494] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.1263302Z - 2022-11-23T01:37:55.1263422Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.1263488Z { 2022-11-23T01:37:55.1263618Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.1263811Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 3'], 2022-11-23T01:37:55.1263932Z 'obj_weakref': None 2022-11-23T01:37:55.1264161Z 'guarded_class': 2022-11-23T01:37:55.1264226Z } 2022-11-23T01:37:55.1264288Z 2022-11-23T01:37:55.1264357Z - 2022-11-23T01:37:55.1264473Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.1264535Z { 2022-11-23T01:37:55.1264678Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1264785Z 'code': None, 2022-11-23T01:37:55.1265006Z 'obj_weakref': 2022-11-23T01:37:55.1265263Z 'guarded_class': 2022-11-23T01:37:55.1265326Z } 2022-11-23T01:37:55.1265388Z 2022-11-23T01:37:55.1265444Z - 2022-11-23T01:37:55.1265570Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.1265633Z { 2022-11-23T01:37:55.1265776Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1265886Z 'code': None, 2022-11-23T01:37:55.1266101Z 'obj_weakref': 2022-11-23T01:37:55.1266357Z 'guarded_class': 2022-11-23T01:37:55.1266409Z } 2022-11-23T01:37:55.1266469Z 2022-11-23T01:37:55.1266538Z - 2022-11-23T01:37:55.1266666Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:37:55.1266728Z { 2022-11-23T01:37:55.1266872Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1266967Z 'code': None, 2022-11-23T01:37:55.1267182Z 'obj_weakref': 2022-11-23T01:37:55.1267437Z 'guarded_class': 2022-11-23T01:37:55.1267501Z } 2022-11-23T01:37:55.1267562Z 2022-11-23T01:37:55.1267631Z - 2022-11-23T01:37:55.1267766Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.1267828Z { 2022-11-23T01:37:55.1267950Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.1268199Z 'code': ['___check_obj_id(model, 140539097527360)'], 2022-11-23T01:37:55.1268330Z 'obj_weakref': None 2022-11-23T01:37:55.1268563Z 'guarded_class': 2022-11-23T01:37:55.1268630Z } 2022-11-23T01:37:55.1268690Z 2022-11-23T01:37:55.1268761Z - 2022-11-23T01:37:55.1268871Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.1268935Z { 2022-11-23T01:37:55.1269073Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.1269332Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.1269456Z 'obj_weakref': None 2022-11-23T01:37:55.1269680Z 'guarded_class': 2022-11-23T01:37:55.1269746Z } 2022-11-23T01:37:55.1269795Z 2022-11-23T01:37:55.1269864Z - 2022-11-23T01:37:55.1269997Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.1270057Z { 2022-11-23T01:37:55.1270178Z 'guard_types': None, 2022-11-23T01:37:55.1270288Z 'code': None, 2022-11-23T01:37:55.1270426Z 'obj_weakref': None 2022-11-23T01:37:55.1270549Z 'guarded_class': None 2022-11-23T01:37:55.1270613Z } 2022-11-23T01:37:55.1270675Z 2022-11-23T01:37:55.1270937Z [2022-11-23 01:33:43,499] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 310 2022-11-23T01:37:55.1271308Z [2022-11-23 01:33:44,925] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ht/cht462y4rt6enersoriqwbg3iuls43b4nw2lpmcc6yemcmffopa3.py 2022-11-23T01:37:55.1271573Z [2022-11-23 01:33:44,925] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 310 2022-11-23T01:37:55.1271580Z 2022-11-23T01:37:55.1271675Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.1271731Z import torch 2022-11-23T01:37:55.1271799Z import random 2022-11-23T01:37:55.1271913Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.1272034Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.1272042Z 2022-11-23T01:37:55.1272120Z aten = torch.ops.aten 2022-11-23T01:37:55.1272252Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.1272347Z async_compile = AsyncCompile() 2022-11-23T01:37:55.1272519Z 2022-11-23T01:37:55.1272524Z 2022-11-23T01:37:55.1272648Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.1272993Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.1273343Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:37:55.1273605Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.1273823Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.1274010Z { 2022-11-23T01:37:55.1274173Z #pragma GCC ivdep 2022-11-23T01:37:55.1274350Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.1274528Z { 2022-11-23T01:37:55.1274692Z #pragma GCC ivdep 2022-11-23T01:37:55.1274871Z for(long i1=0; i1<18; i1+=1) 2022-11-23T01:37:55.1275056Z { 2022-11-23T01:37:55.1275228Z #pragma GCC ivdep 2022-11-23T01:37:55.1275413Z for(long i2=0; i2<14; i2+=1) 2022-11-23T01:37:55.1275593Z { 2022-11-23T01:37:55.1275749Z { 2022-11-23T01:37:55.1275897Z { 2022-11-23T01:37:55.1276108Z auto tmp0 = static_cast(i2 + (14*i1)); 2022-11-23T01:37:55.1276352Z auto tmp1 = static_cast((i1 / 2)); 2022-11-23T01:37:55.1276579Z auto tmp2 = static_cast((i2 / 2)); 2022-11-23T01:37:55.1276818Z auto tmp3 = static_cast(1 + (i1 / 2)); 2022-11-23T01:37:55.1277062Z auto tmp4 = static_cast(1 + (i2 / 2)); 2022-11-23T01:37:55.1277299Z auto tmp5 = static_cast(0); 2022-11-23T01:37:55.1277533Z auto tmp6 = std::max(tmp1, tmp5); 2022-11-23T01:37:55.1277771Z auto tmp7 = std::max(tmp2, tmp5); 2022-11-23T01:37:55.1278001Z auto tmp8 = static_cast(9); 2022-11-23T01:37:55.1278222Z auto tmp9 = std::min(tmp3, tmp8); 2022-11-23T01:37:55.1278453Z auto tmp10 = static_cast(7); 2022-11-23T01:37:55.1290042Z auto tmp11 = std::min(tmp4, tmp10); 2022-11-23T01:37:55.1290321Z auto tmp12 = tmp6 + tmp5; 2022-11-23T01:37:55.1290546Z auto tmp13 = tmp7 + tmp5; 2022-11-23T01:37:55.1290770Z auto tmp14 = static_cast(1); 2022-11-23T01:37:55.1291057Z auto tmp15 = tmp9 - tmp14; 2022-11-23T01:37:55.1291284Z auto tmp16 = std::min(tmp12, tmp15); 2022-11-23T01:37:55.1291570Z auto tmp17 = tmp11 - tmp14; 2022-11-23T01:37:55.1291810Z auto tmp18 = std::min(tmp13, tmp17); 2022-11-23T01:37:55.1292048Z auto tmp19 = in_ptr0[tmp18 + (7*tmp16) + (63*i0)]; 2022-11-23T01:37:55.1292338Z auto tmp20 = in_ptr1[tmp18 + (7*tmp16) + (63*i0)]; 2022-11-23T01:37:55.1292569Z auto tmp21 = tmp19 == tmp0; 2022-11-23T01:37:55.1292794Z auto tmp22 = static_cast(0.0); 2022-11-23T01:37:55.1293038Z auto tmp23 = tmp21 ? tmp20 : tmp22; 2022-11-23T01:37:55.1293274Z out_ptr0[i2 + (14*i1) + (252*i0)] = tmp23; 2022-11-23T01:37:55.1293479Z } 2022-11-23T01:37:55.1293633Z } 2022-11-23T01:37:55.1293797Z } 2022-11-23T01:37:55.1293958Z } 2022-11-23T01:37:55.1294101Z } 2022-11-23T01:37:55.1294269Z } 2022-11-23T01:37:55.1294462Z ''') 2022-11-23T01:37:55.1294565Z 2022-11-23T01:37:55.1294570Z 2022-11-23T01:37:55.1294666Z async_compile.wait(globals()) 2022-11-23T01:37:55.1294853Z del async_compile 2022-11-23T01:37:55.1294963Z 2022-11-23T01:37:55.1295041Z def call(args): 2022-11-23T01:37:55.1295228Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:55.1295402Z args.clear() 2022-11-23T01:37:55.1295733Z buf0 = empty_strided((2, 4, 18, 14), (1008, 252, 14, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1296063Z kernel_cpp_0(c_void_p(arg2_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.1296301Z del arg0_1 2022-11-23T01:37:55.1296471Z del arg2_1 2022-11-23T01:37:55.1296642Z return (buf0, ) 2022-11-23T01:37:55.1296750Z 2022-11-23T01:37:55.1296755Z 2022-11-23T01:37:55.1296833Z if __name__ == "__main__": 2022-11-23T01:37:55.1297044Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.1297314Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.1297688Z arg0_1 = rand_strided((2, 4, 9, 7), (252, 63, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1298061Z arg1_1 = rand_strided((2, 4, 18, 14), (1008, 252, 14, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1298441Z arg2_1 = rand_strided((2, 4, 9, 7), (252, 63, 7, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.1298722Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:55.1299099Z 2022-11-23T01:37:55.1299169Z ok (1.452s) 2022-11-23T01:37:55.1299577Z test_mean_cpu (__main__.CpuTests) ... [2022-11-23 01:33:44,933] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.1300069Z [2022-11-23 01:33:44,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.1300498Z [2022-11-23 01:33:44,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.1300915Z [2022-11-23 01:33:44,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.1301400Z [2022-11-23 01:33:44,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.1301948Z [2022-11-23 01:33:44,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.1302517Z [2022-11-23 01:33:44,933] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.1302895Z 2179 0 LOAD_FAST 0 (x) 2022-11-23T01:37:55.1303122Z 2 LOAD_METHOD 0 (mean) 2022-11-23T01:37:55.1303336Z 4 CALL_METHOD 0 2022-11-23T01:37:55.1303461Z 2022-11-23T01:37:55.1303553Z 2180 6 LOAD_FAST 0 (x) 2022-11-23T01:37:55.1303750Z 8 LOAD_METHOD 0 (mean) 2022-11-23T01:37:55.1304018Z 10 LOAD_CONST 1 (-1) 2022-11-23T01:37:55.1304230Z 12 CALL_METHOD 1 2022-11-23T01:37:55.1304352Z 2022-11-23T01:37:55.1304493Z 2181 14 LOAD_GLOBAL 1 (torch) 2022-11-23T01:37:55.1304708Z 16 LOAD_ATTR 0 (mean) 2022-11-23T01:37:55.1304916Z 18 LOAD_FAST 0 (x) 2022-11-23T01:37:55.1305163Z 20 LOAD_CONST 2 (-2) 2022-11-23T01:37:55.1305377Z 22 LOAD_CONST 3 (True) 2022-11-23T01:37:55.1305657Z 24 LOAD_CONST 4 (('keepdim',)) 2022-11-23T01:37:55.1305881Z 26 CALL_FUNCTION_KW 3 2022-11-23T01:37:55.1305994Z 2022-11-23T01:37:55.1306084Z 2182 28 LOAD_FAST 0 (x) 2022-11-23T01:37:55.1306294Z 30 LOAD_METHOD 0 (mean) 2022-11-23T01:37:55.1306509Z 32 LOAD_CONST 5 (0) 2022-11-23T01:37:55.1306706Z 34 LOAD_CONST 6 (1) 2022-11-23T01:37:55.1306910Z 36 BUILD_LIST 2 2022-11-23T01:37:55.1307115Z 38 CALL_METHOD 1 2022-11-23T01:37:55.1307309Z 40 BUILD_TUPLE 4 2022-11-23T01:37:55.1307506Z 42 RETURN_VALUE 2022-11-23T01:37:55.1307681Z 2022-11-23T01:37:55.1307775Z 2022-11-23T01:37:55.1308044Z [2022-11-23 01:33:44,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2179 2022-11-23T01:37:55.1308557Z [2022-11-23 01:33:44,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.1308983Z [2022-11-23 01:33:44,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mean [TensorVariable()] 2022-11-23T01:37:55.1309457Z [2022-11-23 01:33:44,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), mean)] 2022-11-23T01:37:55.1309922Z [2022-11-23 01:33:44,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2180 2022-11-23T01:37:55.1310361Z [2022-11-23 01:33:44,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()] 2022-11-23T01:37:55.1310820Z [2022-11-23 01:33:44,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mean [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1311330Z [2022-11-23 01:33:44,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), GetAttrVariable(TensorVariable(), mean)] 2022-11-23T01:37:55.1311889Z [2022-11-23 01:33:44,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), mean), ConstantVariable(int)] 2022-11-23T01:37:55.1312407Z [2022-11-23 01:33:44,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2181 2022-11-23T01:37:55.1312883Z [2022-11-23 01:33:44,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1313512Z [2022-11-23 01:33:44,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mean [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.1314178Z [2022-11-23 01:33:44,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.1314886Z [2022-11-23 01:33:44,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1315625Z [2022-11-23 01:33:44,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1316445Z [2022-11-23 01:33:44,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)] 2022-11-23T01:37:55.1317361Z [2022-11-23 01:33:44,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)] 2022-11-23T01:37:55.1318001Z [2022-11-23 01:33:44,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2182 2022-11-23T01:37:55.1318486Z [2022-11-23 01:33:44,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1319030Z [2022-11-23 01:33:44,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mean [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1319623Z [2022-11-23 01:33:44,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), mean)] 2022-11-23T01:37:55.1320286Z [2022-11-23 01:33:44,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), mean), ConstantVariable(int)] 2022-11-23T01:37:55.1321005Z [2022-11-23 01:33:44,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), mean), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1321685Z [2022-11-23 01:33:44,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), mean), ListVariable()] 2022-11-23T01:37:55.1322286Z [2022-11-23 01:33:44,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1322772Z [2022-11-23 01:33:44,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.1323302Z [2022-11-23 01:33:44,941] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.1323771Z [2022-11-23 01:33:44,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.1324203Z [2022-11-23 01:33:44,941] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.1324639Z [2022-11-23 01:33:44,942] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.1325081Z [2022-11-23 01:33:44,947] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.1325455Z [2022-11-23 01:33:44,948] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.1325747Z __compiled_fn_318 .2725 opcode, name, target, args, kwargs 2022-11-23T01:37:55.1325998Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.1326197Z call_method, mean, mean, (ex_0_,), {} 2022-11-23T01:37:55.1326460Z call_method, mean_1, mean, (ex_0_, -1), {} 2022-11-23T01:37:55.1326842Z call_function, mean_2, , (ex_0_, -2), {'keepdim': True} 2022-11-23T01:37:55.1327153Z call_method, mean_3, mean, (ex_0_, [0, 1]), {} 2022-11-23T01:37:55.1327404Z output, output, output, ((mean, mean_1, mean_2, mean_3),), {} 2022-11-23T01:37:55.1327554Z 2022-11-23T01:37:55.1327839Z [2022-11-23 01:33:44,948] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.1328141Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.1328341Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1328556Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.1328766Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.1329014Z 8 RETURN_VALUE 2022-11-23T01:37:55.1329129Z 2022-11-23T01:37:55.1329193Z 2022-11-23T01:37:55.1329569Z [2022-11-23 01:33:44,948] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.1329891Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_318) 2022-11-23T01:37:55.1330106Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1330319Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.1330521Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.1330711Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.1330939Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.1331172Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.1331375Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.1331575Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.1331789Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.1331996Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.1332193Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.1332409Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.1332623Z 26 LOAD_CONST 3 (2) 2022-11-23T01:37:55.1332807Z 28 BINARY_SUBSCR 2022-11-23T01:37:55.1333021Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.1333238Z 32 LOAD_CONST 4 (3) 2022-11-23T01:37:55.1333419Z 34 BINARY_SUBSCR 2022-11-23T01:37:55.1333617Z 36 BUILD_TUPLE 4 2022-11-23T01:37:55.1333813Z 38 RETURN_VALUE 2022-11-23T01:37:55.1333914Z 2022-11-23T01:37:55.1333977Z 2022-11-23T01:37:55.1334257Z [2022-11-23 01:33:44,949] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.1334484Z - 2022-11-23T01:37:55.1334686Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.1334875Z { 2022-11-23T01:37:55.1335118Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.1335423Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.1335693Z 'obj_weakref': None 2022-11-23T01:37:55.1336037Z 'guarded_class': 2022-11-23T01:37:55.1336272Z } 2022-11-23T01:37:55.1336421Z 2022-11-23T01:37:55.1336589Z - 2022-11-23T01:37:55.1336807Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.1336978Z { 2022-11-23T01:37:55.1337220Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1337457Z 'code': None, 2022-11-23T01:37:55.1337773Z 'obj_weakref': 2022-11-23T01:37:55.1338201Z 'guarded_class': 2022-11-23T01:37:55.1338451Z } 2022-11-23T01:37:55.1338600Z 2022-11-23T01:37:55.1338929Z - 2022-11-23T01:37:55.1339227Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.1339400Z { 2022-11-23T01:37:55.1339630Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.1340005Z 'code': ['___check_obj_id(model, 140538731193120)'], 2022-11-23T01:37:55.1340258Z 'obj_weakref': None 2022-11-23T01:37:55.1340619Z 'guarded_class': 2022-11-23T01:37:55.1340856Z } 2022-11-23T01:37:55.1340998Z 2022-11-23T01:37:55.1341163Z - 2022-11-23T01:37:55.1341377Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.1341549Z { 2022-11-23T01:37:55.1341780Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.1342125Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.1342455Z 'obj_weakref': None 2022-11-23T01:37:55.1342778Z 'guarded_class': 2022-11-23T01:37:55.1343007Z } 2022-11-23T01:37:55.1343163Z 2022-11-23T01:37:55.1343314Z - 2022-11-23T01:37:55.1343541Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.1343732Z { 2022-11-23T01:37:55.1343936Z 'guard_types': None, 2022-11-23T01:37:55.1344162Z 'code': None, 2022-11-23T01:37:55.1344388Z 'obj_weakref': None 2022-11-23T01:37:55.1344611Z 'guarded_class': None 2022-11-23T01:37:55.1344791Z } 2022-11-23T01:37:55.1344946Z 2022-11-23T01:37:55.1345293Z [2022-11-23 01:33:44,957] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 311 2022-11-23T01:37:55.1345868Z [2022-11-23 01:33:46,410] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ok/coktzcnerej73ouhhyd7lyfkrqxmdmawr3magd52gx7cmn7e5duo.py 2022-11-23T01:37:55.1346420Z [2022-11-23 01:33:46,410] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 311 2022-11-23T01:37:55.1346619Z 2022-11-23T01:37:55.1346714Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.1346897Z import torch 2022-11-23T01:37:55.1347066Z import random 2022-11-23T01:37:55.1347282Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.1347533Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.1347688Z 2022-11-23T01:37:55.1347765Z aten = torch.ops.aten 2022-11-23T01:37:55.1348008Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.1348336Z async_compile = AsyncCompile() 2022-11-23T01:37:55.1348463Z 2022-11-23T01:37:55.1348468Z 2022-11-23T01:37:55.1348612Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.1348946Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.1349292Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:37:55.1349524Z float* __restrict__ in_out_ptr1, 2022-11-23T01:37:55.1349759Z const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.1349985Z float* __restrict__ out_ptr2, 2022-11-23T01:37:55.1350197Z float* __restrict__ out_ptr3) 2022-11-23T01:37:55.1350383Z { 2022-11-23T01:37:55.1350556Z auto out_ptr0 = in_out_ptr0; 2022-11-23T01:37:55.1350744Z auto out_ptr1 = in_out_ptr1; 2022-11-23T01:37:55.1350920Z { 2022-11-23T01:37:55.1351202Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:37:55.1351476Z float tmp1 = 0; 2022-11-23T01:37:55.1351689Z auto tmp1_vec = at::vec::Vectorized(tmp1); 2022-11-23T01:37:55.1351913Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.1352089Z { 2022-11-23T01:37:55.1352307Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.1352541Z tmp1_vec += tmp0; 2022-11-23T01:37:55.1352714Z } 2022-11-23T01:37:55.1352986Z tmp1 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp1_vec); 2022-11-23T01:37:55.1353362Z #pragma omp simd simdlen(4) reduction(+:tmp1) 2022-11-23T01:37:55.1353588Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:37:55.1353755Z { 2022-11-23T01:37:55.1353932Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.1354123Z tmp1 += tmp0; 2022-11-23T01:37:55.1354277Z } 2022-11-23T01:37:55.1354444Z out_ptr0[0] = tmp1; 2022-11-23T01:37:55.1354616Z } 2022-11-23T01:37:55.1354768Z #pragma GCC ivdep 2022-11-23T01:37:55.1354956Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.1355131Z { 2022-11-23T01:37:55.1355267Z { 2022-11-23T01:37:55.1355583Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:37:55.1355858Z float tmp1 = 0; 2022-11-23T01:37:55.1356086Z auto tmp1_vec = at::vec::Vectorized(tmp1); 2022-11-23T01:37:55.1356297Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:37:55.1356474Z { 2022-11-23T01:37:55.1356713Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i0) + (8*i1)); 2022-11-23T01:37:55.1356941Z tmp1_vec += tmp0; 2022-11-23T01:37:55.1357116Z } 2022-11-23T01:37:55.1357405Z tmp1 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp1_vec); 2022-11-23T01:37:55.1357728Z #pragma omp simd simdlen(4) reduction(+:tmp1) 2022-11-23T01:37:55.1357941Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:37:55.1358122Z { 2022-11-23T01:37:55.1358308Z auto tmp0 = in_ptr0[i1 + (8*i0)]; 2022-11-23T01:37:55.1358498Z tmp1 += tmp0; 2022-11-23T01:37:55.1358668Z } 2022-11-23T01:37:55.1358839Z out_ptr1[i0] = tmp1; 2022-11-23T01:37:55.1359002Z } 2022-11-23T01:37:55.1359151Z } 2022-11-23T01:37:55.1359299Z { 2022-11-23T01:37:55.1359433Z { 2022-11-23T01:37:55.1359612Z auto tmp0 = out_ptr0[0]; 2022-11-23T01:37:55.1359828Z auto tmp1 = static_cast(64); 2022-11-23T01:37:55.1360028Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:55.1360224Z in_out_ptr0[0] = tmp2; 2022-11-23T01:37:55.1360396Z } 2022-11-23T01:37:55.1360532Z } 2022-11-23T01:37:55.1360699Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:37:55.1360867Z { 2022-11-23T01:37:55.1361075Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr1 + 8*i0); 2022-11-23T01:37:55.1361361Z auto tmp1 = at::vec::Vectorized(static_cast(8)); 2022-11-23T01:37:55.1361593Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:55.1361786Z tmp2.store(in_out_ptr1 + 8*i0); 2022-11-23T01:37:55.1361967Z } 2022-11-23T01:37:55.1362139Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.1362327Z for(long i0=8; i0<8; i0+=1) 2022-11-23T01:37:55.1362495Z { 2022-11-23T01:37:55.1362661Z auto tmp0 = out_ptr1[i0]; 2022-11-23T01:37:55.1362870Z auto tmp1 = static_cast(8); 2022-11-23T01:37:55.1363063Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:55.1363253Z in_out_ptr1[i0] = tmp2; 2022-11-23T01:37:55.1363428Z } 2022-11-23T01:37:55.1363583Z #pragma GCC ivdep 2022-11-23T01:37:55.1363770Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:55.1363941Z { 2022-11-23T01:37:55.1364102Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:37:55.1364281Z { 2022-11-23T01:37:55.1364518Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (32*i0)); 2022-11-23T01:37:55.1364808Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr0 + 8 + (8*i1) + (32*i0)); 2022-11-23T01:37:55.1365113Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr0 + 16 + (8*i1) + (32*i0)); 2022-11-23T01:37:55.1365414Z auto tmp5 = at::vec::Vectorized::loadu(in_ptr0 + 24 + (8*i1) + (32*i0)); 2022-11-23T01:37:55.1365666Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.1365906Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.1366108Z auto tmp6 = tmp4 + tmp5; 2022-11-23T01:37:55.1366360Z auto tmp7 = at::vec::Vectorized(static_cast(4)); 2022-11-23T01:37:55.1366589Z auto tmp8 = tmp6 / tmp7; 2022-11-23T01:37:55.1366809Z tmp8.store(out_ptr2 + (8*i0) + (8*i1)); 2022-11-23T01:37:55.1367001Z } 2022-11-23T01:37:55.1367176Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.1367387Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:37:55.1367566Z { 2022-11-23T01:37:55.1367745Z auto tmp0 = in_ptr0[i1 + (32*i0)]; 2022-11-23T01:37:55.1368006Z auto tmp1 = in_ptr0[8 + i1 + (32*i0)]; 2022-11-23T01:37:55.1368227Z auto tmp3 = in_ptr0[16 + i1 + (32*i0)]; 2022-11-23T01:37:55.1368434Z auto tmp5 = in_ptr0[24 + i1 + (32*i0)]; 2022-11-23T01:37:55.1368654Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.1368859Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.1369046Z auto tmp6 = tmp4 + tmp5; 2022-11-23T01:37:55.1369259Z auto tmp7 = static_cast(4); 2022-11-23T01:37:55.1369468Z auto tmp8 = tmp6 / tmp7; 2022-11-23T01:37:55.1369667Z out_ptr2[i1 + (8*i0)] = tmp8; 2022-11-23T01:37:55.1369834Z } 2022-11-23T01:37:55.1369992Z } 2022-11-23T01:37:55.1370159Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:55.1370321Z { 2022-11-23T01:37:55.1370543Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.1370827Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr0 + 32 + (8*i0)); 2022-11-23T01:37:55.1371057Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.1371303Z auto tmp3 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:37:55.1371535Z auto tmp4 = tmp2 / tmp3; 2022-11-23T01:37:55.1371724Z tmp4.store(out_ptr3 + 8*i0); 2022-11-23T01:37:55.1371905Z } 2022-11-23T01:37:55.1372083Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.1372274Z for(long i0=32; i0<32; i0+=1) 2022-11-23T01:37:55.1372445Z { 2022-11-23T01:37:55.1372612Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.1372799Z auto tmp1 = in_ptr0[32 + i0]; 2022-11-23T01:37:55.1372996Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.1373203Z auto tmp3 = static_cast(2); 2022-11-23T01:37:55.1373408Z auto tmp4 = tmp2 / tmp3; 2022-11-23T01:37:55.1373583Z out_ptr3[i0] = tmp4; 2022-11-23T01:37:55.1373751Z } 2022-11-23T01:37:55.1373896Z } 2022-11-23T01:37:55.1374069Z ''') 2022-11-23T01:37:55.1374162Z 2022-11-23T01:37:55.1374169Z 2022-11-23T01:37:55.1374261Z async_compile.wait(globals()) 2022-11-23T01:37:55.1374452Z del async_compile 2022-11-23T01:37:55.1374547Z 2022-11-23T01:37:55.1374620Z def call(args): 2022-11-23T01:37:55.1374793Z arg0_1, = args 2022-11-23T01:37:55.1374970Z args.clear() 2022-11-23T01:37:55.1375254Z buf0 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1375613Z buf1 = empty_strided((1, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1375858Z buf2 = buf0; del buf0 # reuse 2022-11-23T01:37:55.1376044Z buf3 = buf1; del buf1 # reuse 2022-11-23T01:37:55.1376369Z buf4 = empty_strided((1, 2, 1, 8), (16, 8, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1376724Z buf5 = empty_strided((4, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1377088Z kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr())) 2022-11-23T01:37:55.1377366Z del arg0_1 2022-11-23T01:37:55.1377554Z return (buf2, buf3, buf4, buf5, ) 2022-11-23T01:37:55.1377677Z 2022-11-23T01:37:55.1377682Z 2022-11-23T01:37:55.1377762Z if __name__ == "__main__": 2022-11-23T01:37:55.1377974Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.1378237Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.1378645Z arg0_1 = rand_strided((1, 2, 4, 8), (64, 32, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1379125Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.1379254Z 2022-11-23T01:37:55.1379320Z ok (1.485s) 2022-11-23T01:37:55.1379750Z test_min_max_reduction_cpu (__main__.CpuTests) ... [2022-11-23 01:33:46,418] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.1380253Z [2022-11-23 01:33:46,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.1380663Z [2022-11-23 01:33:46,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.1381162Z [2022-11-23 01:33:46,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.1381644Z [2022-11-23 01:33:46,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.1382184Z [2022-11-23 01:33:46,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.1382733Z [2022-11-23 01:33:46,419] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.1383055Z 852 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.1383267Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.1383465Z 4 BINARY_ADD 2022-11-23T01:37:55.1383654Z 6 LOAD_METHOD 0 (max) 2022-11-23T01:37:55.1383869Z 8 CALL_METHOD 0 2022-11-23T01:37:55.1384071Z 10 LOAD_FAST 0 (a) 2022-11-23T01:37:55.1384262Z 12 LOAD_FAST 1 (b) 2022-11-23T01:37:55.1384445Z 14 BINARY_ADD 2022-11-23T01:37:55.1384645Z 16 LOAD_METHOD 1 (min) 2022-11-23T01:37:55.1384845Z 18 CALL_METHOD 0 2022-11-23T01:37:55.1385054Z 20 LOAD_GLOBAL 2 (torch) 2022-11-23T01:37:55.1385268Z 22 LOAD_ATTR 3 (amax) 2022-11-23T01:37:55.1385465Z 24 LOAD_FAST 0 (a) 2022-11-23T01:37:55.1385666Z 26 LOAD_CONST 1 (1) 2022-11-23T01:37:55.1385857Z 28 BINARY_ADD 2022-11-23T01:37:55.1386042Z 30 LOAD_CONST 2 (True) 2022-11-23T01:37:55.1386315Z 32 LOAD_CONST 3 (('keepdim',)) 2022-11-23T01:37:55.1386529Z 34 CALL_FUNCTION_KW 2 2022-11-23T01:37:55.1386742Z 36 BUILD_TUPLE 3 2022-11-23T01:37:55.1386919Z 38 RETURN_VALUE 2022-11-23T01:37:55.1387087Z 2022-11-23T01:37:55.1387176Z 2022-11-23T01:37:55.1387454Z [2022-11-23 01:33:46,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:852 2022-11-23T01:37:55.1387856Z [2022-11-23 01:33:46,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.1388365Z [2022-11-23 01:33:46,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.1388825Z [2022-11-23 01:33:46,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1389272Z [2022-11-23 01:33:46,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable()] 2022-11-23T01:37:55.1389723Z [2022-11-23 01:33:46,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), max)] 2022-11-23T01:37:55.1390169Z [2022-11-23 01:33:46,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()] 2022-11-23T01:37:55.1390614Z [2022-11-23 01:33:46,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1391163Z [2022-11-23 01:33:46,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1391642Z [2022-11-23 01:33:46,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1392146Z [2022-11-23 01:33:46,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), min)] 2022-11-23T01:37:55.1392644Z [2022-11-23 01:33:46,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1393273Z [2022-11-23 01:33:46,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amax [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.1393988Z [2022-11-23 01:33:46,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.1394657Z [2022-11-23 01:33:46,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1395383Z [2022-11-23 01:33:46,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1396105Z [2022-11-23 01:33:46,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1396855Z [2022-11-23 01:33:46,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(bool)] 2022-11-23T01:37:55.1397651Z [2022-11-23 01:33:46,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(bool), ConstantVariable(tuple)] 2022-11-23T01:37:55.1398285Z [2022-11-23 01:33:46,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1398747Z [2022-11-23 01:33:46,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.1399266Z [2022-11-23 01:33:46,427] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.1399740Z [2022-11-23 01:33:46,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.1400154Z [2022-11-23 01:33:46,427] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.1400587Z [2022-11-23 01:33:46,428] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.1401029Z [2022-11-23 01:33:46,434] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.1401399Z [2022-11-23 01:33:46,434] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.1401689Z __compiled_fn_319 .2731 opcode, name, target, args, kwargs 2022-11-23T01:37:55.1401935Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.1402147Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.1402433Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.1402674Z call_method, max_1, max, (add,), {} 2022-11-23T01:37:55.1402977Z call_function, add_1, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.1403203Z call_method, min_1, min, (add_1,), {} 2022-11-23T01:37:55.1403547Z call_function, add_2, , (ex_0_, 1), {} 2022-11-23T01:37:55.1403942Z call_function, amax, , (add_2,), {'keepdim': True} 2022-11-23T01:37:55.1404225Z output, output, output, ((max_1, min_1, amax),), {} 2022-11-23T01:37:55.1404367Z 2022-11-23T01:37:55.1404653Z [2022-11-23 01:33:46,434] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.1404951Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.1405164Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1405398Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.1405609Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.1405805Z 8 RETURN_VALUE 2022-11-23T01:37:55.1405918Z 2022-11-23T01:37:55.1405969Z 2022-11-23T01:37:55.1406339Z [2022-11-23 01:33:46,435] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.1406651Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_319) 2022-11-23T01:37:55.1406863Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1407071Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.1407266Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.1407469Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1407664Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.1407861Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.1408062Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.1408279Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.1408517Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.1408733Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.1408918Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.1409132Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.1409353Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:55.1409533Z 28 BINARY_SUBSCR 2022-11-23T01:37:55.1409746Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.1409959Z 32 LOAD_CONST 3 (2) 2022-11-23T01:37:55.1410151Z 34 BINARY_SUBSCR 2022-11-23T01:37:55.1410338Z 36 BUILD_TUPLE 3 2022-11-23T01:37:55.1410537Z 38 RETURN_VALUE 2022-11-23T01:37:55.1410651Z 2022-11-23T01:37:55.1410713Z 2022-11-23T01:37:55.1410979Z [2022-11-23 01:33:46,435] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.1411207Z - 2022-11-23T01:37:55.1411421Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.1411590Z { 2022-11-23T01:37:55.1411832Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.1412150Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.1412405Z 'obj_weakref': None 2022-11-23T01:37:55.1412751Z 'guarded_class': 2022-11-23T01:37:55.1412984Z } 2022-11-23T01:37:55.1413135Z 2022-11-23T01:37:55.1413296Z - 2022-11-23T01:37:55.1413512Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.1413684Z { 2022-11-23T01:37:55.1413925Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1414158Z 'code': None, 2022-11-23T01:37:55.1414470Z 'obj_weakref': 2022-11-23T01:37:55.1414896Z 'guarded_class': 2022-11-23T01:37:55.1415140Z } 2022-11-23T01:37:55.1415297Z 2022-11-23T01:37:55.1415449Z - 2022-11-23T01:37:55.1415664Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.1415842Z { 2022-11-23T01:37:55.1416116Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1416357Z 'code': None, 2022-11-23T01:37:55.1416684Z 'obj_weakref': 2022-11-23T01:37:55.1417088Z 'guarded_class': 2022-11-23T01:37:55.1417330Z } 2022-11-23T01:37:55.1417487Z 2022-11-23T01:37:55.1417639Z - 2022-11-23T01:37:55.1417857Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.1418044Z { 2022-11-23T01:37:55.1418300Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.1418595Z 'code': ['___check_obj_id(model, 140539049119328)'], 2022-11-23T01:37:55.1419053Z 'obj_weakref': None 2022-11-23T01:37:55.1419407Z 'guarded_class': 2022-11-23T01:37:55.1419631Z } 2022-11-23T01:37:55.1419791Z 2022-11-23T01:37:55.1419959Z - 2022-11-23T01:37:55.1420158Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.1420340Z { 2022-11-23T01:37:55.1420480Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.1420707Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.1420818Z 'obj_weakref': None 2022-11-23T01:37:55.1421041Z 'guarded_class': 2022-11-23T01:37:55.1421105Z } 2022-11-23T01:37:55.1421171Z 2022-11-23T01:37:55.1421243Z - 2022-11-23T01:37:55.1421378Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.1421443Z { 2022-11-23T01:37:55.1421553Z 'guard_types': None, 2022-11-23T01:37:55.1421662Z 'code': None, 2022-11-23T01:37:55.1421782Z 'obj_weakref': None 2022-11-23T01:37:55.1421909Z 'guarded_class': None 2022-11-23T01:37:55.1421973Z } 2022-11-23T01:37:55.1422035Z 2022-11-23T01:37:55.1422300Z [2022-11-23 01:33:46,445] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 312 2022-11-23T01:37:55.1422664Z [2022-11-23 01:33:47,840] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3u/c3utdgcvcudgn7umonbsdd7j2hrawqinwg57at5lqzp4c6zedftu.py 2022-11-23T01:37:55.1422931Z [2022-11-23 01:33:47,840] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 312 2022-11-23T01:37:55.1422939Z 2022-11-23T01:37:55.1423035Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.1423104Z import torch 2022-11-23T01:37:55.1423172Z import random 2022-11-23T01:37:55.1423285Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.1423407Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.1423412Z 2022-11-23T01:37:55.1423489Z aten = torch.ops.aten 2022-11-23T01:37:55.1423614Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.1423707Z async_compile = AsyncCompile() 2022-11-23T01:37:55.1423712Z 2022-11-23T01:37:55.1423716Z 2022-11-23T01:37:55.1423851Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.1424062Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.1424180Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.1424283Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.1424381Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.1424479Z float* __restrict__ out_ptr1, 2022-11-23T01:37:55.1424559Z float* __restrict__ out_ptr2) 2022-11-23T01:37:55.1424619Z { 2022-11-23T01:37:55.1424682Z { 2022-11-23T01:37:55.1425124Z #pragma omp declare reduction(max:at::vec::Vectorized:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits::infinity()}}) 2022-11-23T01:37:55.1425366Z float tmp3 = -std::numeric_limits::infinity(); 2022-11-23T01:37:55.1425485Z auto tmp3_vec = at::vec::Vectorized(tmp3); 2022-11-23T01:37:55.1425729Z #pragma omp declare reduction(min:at::vec::Vectorized:omp_out = at::vec::minimum(omp_out, omp_in)) initializer(omp_priv={{std::numeric_limits::infinity()}}) 2022-11-23T01:37:55.1425850Z float tmp4 = std::numeric_limits::infinity(); 2022-11-23T01:37:55.1425968Z auto tmp4_vec = at::vec::Vectorized(tmp4); 2022-11-23T01:37:55.1426195Z float tmp7 = -std::numeric_limits::infinity(); 2022-11-23T01:37:55.1426312Z auto tmp7_vec = at::vec::Vectorized(tmp7); 2022-11-23T01:37:55.1426394Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.1426456Z { 2022-11-23T01:37:55.1426590Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.1426723Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.1426808Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.1426938Z auto tmp5 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:55.1427009Z auto tmp6 = tmp0 + tmp5; 2022-11-23T01:37:55.1427122Z tmp3_vec = at::vec::maximum(tmp3_vec, tmp2); 2022-11-23T01:37:55.1427236Z tmp4_vec = at::vec::minimum(tmp4_vec, tmp2); 2022-11-23T01:37:55.1427348Z tmp7_vec = at::vec::maximum(tmp7_vec, tmp6); 2022-11-23T01:37:55.1427414Z } 2022-11-23T01:37:55.1427625Z tmp3 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return at::vec::maximum(x, y);}, tmp3_vec); 2022-11-23T01:37:55.1427834Z tmp4 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return at::vec::minimum(x, y);}, tmp4_vec); 2022-11-23T01:37:55.1428039Z tmp7 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return at::vec::maximum(x, y);}, tmp7_vec); 2022-11-23T01:37:55.1428292Z #pragma omp simd simdlen(4) reduction(max:tmp3) reduction(min:tmp4) reduction(max:tmp7) 2022-11-23T01:37:55.1428382Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:37:55.1428433Z { 2022-11-23T01:37:55.1428517Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.1428600Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.1428681Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.1428781Z auto tmp5 = static_cast(1); 2022-11-23T01:37:55.1428872Z auto tmp6 = tmp0 + tmp5; 2022-11-23T01:37:55.1428966Z tmp3 = std::max(tmp3, tmp2); 2022-11-23T01:37:55.1429045Z tmp4 = std::min(tmp4, tmp2); 2022-11-23T01:37:55.1429136Z tmp7 = std::max(tmp7, tmp6); 2022-11-23T01:37:55.1429197Z } 2022-11-23T01:37:55.1429278Z out_ptr0[0] = tmp3; 2022-11-23T01:37:55.1429355Z out_ptr1[0] = tmp4; 2022-11-23T01:37:55.1429428Z out_ptr2[0] = tmp7; 2022-11-23T01:37:55.1429489Z } 2022-11-23T01:37:55.1429536Z } 2022-11-23T01:37:55.1429619Z ''') 2022-11-23T01:37:55.1429625Z 2022-11-23T01:37:55.1429628Z 2022-11-23T01:37:55.1429720Z async_compile.wait(globals()) 2022-11-23T01:37:55.1429795Z del async_compile 2022-11-23T01:37:55.1429800Z 2022-11-23T01:37:55.1429868Z def call(args): 2022-11-23T01:37:55.1429944Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.1430014Z args.clear() 2022-11-23T01:37:55.1430190Z buf0 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1430376Z buf1 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1430572Z buf2 = empty_strided((1, 1), (1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1430827Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:37:55.1430900Z del arg0_1 2022-11-23T01:37:55.1430967Z del arg1_1 2022-11-23T01:37:55.1431049Z return (buf0, buf1, buf2, ) 2022-11-23T01:37:55.1431053Z 2022-11-23T01:37:55.1431058Z 2022-11-23T01:37:55.1431134Z if __name__ == "__main__": 2022-11-23T01:37:55.1431245Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.1431370Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.1431569Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1431766Z arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1431916Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.1431920Z 2022-11-23T01:37:55.1431986Z ok (1.430s) 2022-11-23T01:37:55.1432331Z test_misaligned_address_issue1_cpu (__main__.CpuTests) ... [2022-11-23 01:33:47,850] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.1432610Z [2022-11-23 01:33:47,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.1432819Z [2022-11-23 01:33:47,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.1433075Z [2022-11-23 01:33:47,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.1433365Z [2022-11-23 01:33:47,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.1433691Z [2022-11-23 01:33:47,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.1434034Z [2022-11-23 01:33:47,850] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.1434130Z 4453 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.1434222Z 2 LOAD_ATTR 1 (ops) 2022-11-23T01:37:55.1434317Z 4 LOAD_ATTR 2 (aten) 2022-11-23T01:37:55.1434409Z 6 LOAD_ATTR 3 (gather) 2022-11-23T01:37:55.1434490Z 8 LOAD_METHOD 4 (default) 2022-11-23T01:37:55.1434495Z 2022-11-23T01:37:55.1434595Z 4454 10 LOAD_FAST 0 (sub_tensor_1) 2022-11-23T01:37:55.1434684Z 12 LOAD_CONST 1 (1) 2022-11-23T01:37:55.1434791Z 14 LOAD_FAST 1 (unsqueeze_default) 2022-11-23T01:37:55.1434881Z 16 CALL_METHOD 3 2022-11-23T01:37:55.1434984Z 18 STORE_FAST 2 (gather_default) 2022-11-23T01:37:55.1434990Z 2022-11-23T01:37:55.1435092Z 4456 20 LOAD_FAST 2 (gather_default) 2022-11-23T01:37:55.1435169Z 22 RETURN_VALUE 2022-11-23T01:37:55.1435217Z 2022-11-23T01:37:55.1435222Z 2022-11-23T01:37:55.1435496Z [2022-11-23 01:33:47,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4453 2022-11-23T01:37:55.1435718Z [2022-11-23 01:33:47,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.1436089Z [2022-11-23 01:33:47,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:37:55.1436388Z [2022-11-23 01:33:47,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:37:55.1436705Z [2022-11-23 01:33:47,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR gather [TorchVariable()] 2022-11-23T01:37:55.1436972Z [2022-11-23 01:33:47,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(aten.gather)] 2022-11-23T01:37:55.1437278Z [2022-11-23 01:33:47,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4454 2022-11-23T01:37:55.1437567Z [2022-11-23 01:33:47,860] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sub_tensor_1 [TorchVariable(aten.gather.default)] 2022-11-23T01:37:55.1437867Z [2022-11-23 01:33:47,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.gather.default), TensorVariable()] 2022-11-23T01:37:55.1438218Z [2022-11-23 01:33:47,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST unsqueeze_default [TorchVariable(aten.gather.default), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1438619Z [2022-11-23 01:33:47,861] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.gather.default), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:37:55.1438881Z [2022-11-23 01:33:47,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST gather_default [TensorVariable()] 2022-11-23T01:37:55.1439152Z [2022-11-23 01:33:47,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4456 2022-11-23T01:37:55.1439384Z [2022-11-23 01:33:47,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST gather_default [] 2022-11-23T01:37:55.1439635Z [2022-11-23 01:33:47,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.1439976Z [2022-11-23 01:33:47,862] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.1440224Z [2022-11-23 01:33:47,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.1440468Z [2022-11-23 01:33:47,862] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.1440729Z [2022-11-23 01:33:47,863] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.1440970Z [2022-11-23 01:33:47,866] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.1441163Z [2022-11-23 01:33:47,867] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.1441300Z __compiled_fn_320 .2737 opcode, name, target, args, kwargs 2022-11-23T01:37:55.1441388Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.1441476Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.1441617Z call_function, gather_default, aten.gather.default, (ex_0_, 1, ex_1_), {} 2022-11-23T01:37:55.1441728Z output, output, output, ((gather_default,),), {} 2022-11-23T01:37:55.1441736Z 2022-11-23T01:37:55.1442017Z [2022-11-23 01:33:47,867] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.1442098Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.1442187Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1442280Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.1442370Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.1442445Z 8 RETURN_VALUE 2022-11-23T01:37:55.1442450Z 2022-11-23T01:37:55.1442510Z 2022-11-23T01:37:55.1442784Z [2022-11-23 01:33:47,867] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.1442892Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_320) 2022-11-23T01:37:55.1442970Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1443057Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.1443136Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.1443224Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1443310Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.1443384Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.1443470Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.1443549Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.1443652Z 18 RETURN_VALUE 2022-11-23T01:37:55.1443657Z 2022-11-23T01:37:55.1443718Z 2022-11-23T01:37:55.1443903Z [2022-11-23 01:33:47,868] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.1443974Z - 2022-11-23T01:37:55.1444096Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.1444159Z { 2022-11-23T01:37:55.1444291Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.1444481Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.1444604Z 'obj_weakref': None 2022-11-23T01:37:55.1444865Z 'guarded_class': 2022-11-23T01:37:55.1444928Z } 2022-11-23T01:37:55.1444989Z 2022-11-23T01:37:55.1445059Z - 2022-11-23T01:37:55.1445173Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.1445234Z { 2022-11-23T01:37:55.1445382Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1445491Z 'code': None, 2022-11-23T01:37:55.1445707Z 'obj_weakref': 2022-11-23T01:37:55.1445965Z 'guarded_class': 2022-11-23T01:37:55.1446028Z } 2022-11-23T01:37:55.1446077Z 2022-11-23T01:37:55.1446146Z - 2022-11-23T01:37:55.1446273Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.1446335Z { 2022-11-23T01:37:55.1446480Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1446591Z 'code': None, 2022-11-23T01:37:55.1446808Z 'obj_weakref': 2022-11-23T01:37:55.1447052Z 'guarded_class': 2022-11-23T01:37:55.1447120Z } 2022-11-23T01:37:55.1447186Z 2022-11-23T01:37:55.1447260Z - 2022-11-23T01:37:55.1447392Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.1447458Z { 2022-11-23T01:37:55.1447597Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.1447757Z 'code': ['___check_obj_id(model, 140538736998304)'], 2022-11-23T01:37:55.1447881Z 'obj_weakref': None 2022-11-23T01:37:55.1448117Z 'guarded_class': 2022-11-23T01:37:55.1448184Z } 2022-11-23T01:37:55.1448249Z 2022-11-23T01:37:55.1448324Z - 2022-11-23T01:37:55.1448450Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.1448501Z { 2022-11-23T01:37:55.1448641Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.1448861Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.1448986Z 'obj_weakref': None 2022-11-23T01:37:55.1449210Z 'guarded_class': 2022-11-23T01:37:55.1449276Z } 2022-11-23T01:37:55.1449339Z 2022-11-23T01:37:55.1449397Z - 2022-11-23T01:37:55.1449533Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.1449598Z { 2022-11-23T01:37:55.1449720Z 'guard_types': None, 2022-11-23T01:37:55.1449834Z 'code': None, 2022-11-23T01:37:55.1449955Z 'obj_weakref': None 2022-11-23T01:37:55.1450080Z 'guarded_class': None 2022-11-23T01:37:55.1450135Z } 2022-11-23T01:37:55.1450199Z 2022-11-23T01:37:55.1450462Z [2022-11-23 01:33:47,874] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 313 2022-11-23T01:37:55.1450873Z [2022-11-23 01:33:49,240] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kh/ckheuap6atyzontzfxwblkjube5vf4eas4hrtyeac7pkgg2lp7hx.py 2022-11-23T01:37:55.1451146Z [2022-11-23 01:33:49,240] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 313 2022-11-23T01:37:55.1451153Z 2022-11-23T01:37:55.1451248Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.1451319Z import torch 2022-11-23T01:37:55.1451392Z import random 2022-11-23T01:37:55.1451495Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.1451618Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.1451623Z 2022-11-23T01:37:55.1451702Z aten = torch.ops.aten 2022-11-23T01:37:55.1451838Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.1451978Z async_compile = AsyncCompile() 2022-11-23T01:37:55.1451983Z 2022-11-23T01:37:55.1451987Z 2022-11-23T01:37:55.1452128Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.1452337Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.1452461Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:37:55.1452556Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.1452657Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.1452721Z { 2022-11-23T01:37:55.1452783Z { 2022-11-23T01:37:55.1452848Z { 2022-11-23T01:37:55.1452936Z auto tmp0 = in_ptr0[0]; 2022-11-23T01:37:55.1453026Z auto tmp1 = in_ptr1[tmp0]; 2022-11-23T01:37:55.1453093Z out_ptr0[0] = tmp1; 2022-11-23T01:37:55.1453156Z } 2022-11-23T01:37:55.1453218Z } 2022-11-23T01:37:55.1453283Z } 2022-11-23T01:37:55.1453363Z ''') 2022-11-23T01:37:55.1453368Z 2022-11-23T01:37:55.1453372Z 2022-11-23T01:37:55.1453459Z async_compile.wait(globals()) 2022-11-23T01:37:55.1453532Z del async_compile 2022-11-23T01:37:55.1453536Z 2022-11-23T01:37:55.1453594Z def call(args): 2022-11-23T01:37:55.1453668Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.1453741Z args.clear() 2022-11-23T01:37:55.1453942Z buf0 = empty_strided((1, 1), (1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1454103Z kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.1454170Z del arg0_1 2022-11-23T01:37:55.1454236Z del arg1_1 2022-11-23T01:37:55.1454294Z return (buf0, ) 2022-11-23T01:37:55.1454299Z 2022-11-23T01:37:55.1454314Z 2022-11-23T01:37:55.1454376Z if __name__ == "__main__": 2022-11-23T01:37:55.1454488Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.1454609Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.1454819Z arg0_1 = rand_strided((1, 1000), (1000, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1455013Z arg1_1 = rand_strided((1, 1), (1, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.1455130Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.1455136Z 2022-11-23T01:37:55.1455200Z ok (1.400s) 2022-11-23T01:37:55.1455496Z test_mm_views_cpu (__main__.CpuTests) ... [2022-11-23 01:33:49,250] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.1455771Z [2022-11-23 01:33:49,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.1455992Z [2022-11-23 01:33:49,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.1456248Z [2022-11-23 01:33:49,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.1456534Z [2022-11-23 01:33:49,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.1456865Z [2022-11-23 01:33:49,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.1457227Z [2022-11-23 01:33:49,250] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.1457325Z 4126 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.1457417Z 2 LOAD_METHOD 1 (mm) 2022-11-23T01:37:55.1457496Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.1457588Z 6 LOAD_METHOD 2 (view) 2022-11-23T01:37:55.1457675Z 8 LOAD_CONST 1 (32) 2022-11-23T01:37:55.1457764Z 10 LOAD_CONST 1 (32) 2022-11-23T01:37:55.1457852Z 12 CALL_METHOD 2 2022-11-23T01:37:55.1457975Z 14 LOAD_FAST 1 (b) 2022-11-23T01:37:55.1458068Z 16 LOAD_METHOD 2 (view) 2022-11-23T01:37:55.1458153Z 18 LOAD_CONST 1 (32) 2022-11-23T01:37:55.1458228Z 20 LOAD_CONST 1 (32) 2022-11-23T01:37:55.1458314Z 22 CALL_METHOD 2 2022-11-23T01:37:55.1458403Z 24 CALL_METHOD 2 2022-11-23T01:37:55.1458479Z 26 RETURN_VALUE 2022-11-23T01:37:55.1458539Z 2022-11-23T01:37:55.1458545Z 2022-11-23T01:37:55.1458992Z [2022-11-23 01:33:49,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4126 2022-11-23T01:37:55.1459252Z [2022-11-23 01:33:49,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.1459604Z [2022-11-23 01:33:49,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mm [TorchVariable()] 2022-11-23T01:37:55.1459925Z [2022-11-23 01:33:49,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:55.1460278Z [2022-11-23 01:33:49,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1460665Z [2022-11-23 01:33:49,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 32 [TorchVariable(), GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:37:55.1461091Z [2022-11-23 01:33:49,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 32 [TorchVariable(), GetAttrVariable(TensorVariable(), view), ConstantVariable(int)] 2022-11-23T01:37:55.1461562Z [2022-11-23 01:33:49,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), GetAttrVariable(TensorVariable(), view), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1461913Z [2022-11-23 01:33:49,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1462294Z [2022-11-23 01:33:49,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1462706Z [2022-11-23 01:33:49,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 32 [TorchVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:37:55.1463154Z [2022-11-23 01:33:49,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 32 [TorchVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), view), ConstantVariable(int)] 2022-11-23T01:37:55.1463649Z [2022-11-23 01:33:49,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), view), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1464098Z [2022-11-23 01:33:49,253] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1464353Z [2022-11-23 01:33:49,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.1464688Z [2022-11-23 01:33:49,254] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.1464937Z [2022-11-23 01:33:49,254] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.1465204Z [2022-11-23 01:33:49,255] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.1465460Z [2022-11-23 01:33:49,256] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.1465715Z [2022-11-23 01:33:49,260] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.1465909Z [2022-11-23 01:33:49,261] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.1466045Z __compiled_fn_321 .2743 opcode, name, target, args, kwargs 2022-11-23T01:37:55.1466138Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.1466225Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.1466324Z call_method, view, view, (ex_0_, 32, 32), {} 2022-11-23T01:37:55.1466410Z call_method, view_1, view, (ex_1_, 32, 32), {} 2022-11-23T01:37:55.1466641Z call_function, mm, , (view, view_1), {} 2022-11-23T01:37:55.1466740Z output, output, output, ((mm,),), {} 2022-11-23T01:37:55.1466746Z 2022-11-23T01:37:55.1467026Z [2022-11-23 01:33:49,261] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.1467120Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.1467213Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1467305Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.1467396Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.1467460Z 8 RETURN_VALUE 2022-11-23T01:37:55.1467466Z 2022-11-23T01:37:55.1467525Z 2022-11-23T01:37:55.1467803Z [2022-11-23 01:33:49,261] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.1467913Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_321) 2022-11-23T01:37:55.1468001Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1468092Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.1468246Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.1468326Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1468413Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.1468487Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.1468577Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.1468668Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.1468743Z 18 RETURN_VALUE 2022-11-23T01:37:55.1468748Z 2022-11-23T01:37:55.1468808Z 2022-11-23T01:37:55.1468983Z [2022-11-23 01:33:49,262] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.1469055Z - 2022-11-23T01:37:55.1469175Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.1469241Z { 2022-11-23T01:37:55.1469386Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.1469574Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.1469700Z 'obj_weakref': None 2022-11-23T01:37:55.1469926Z 'guarded_class': 2022-11-23T01:37:55.1469978Z } 2022-11-23T01:37:55.1470043Z 2022-11-23T01:37:55.1470114Z - 2022-11-23T01:37:55.1470242Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.1470344Z { 2022-11-23T01:37:55.1470492Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1470589Z 'code': None, 2022-11-23T01:37:55.1470800Z 'obj_weakref': 2022-11-23T01:37:55.1471057Z 'guarded_class': 2022-11-23T01:37:55.1471122Z } 2022-11-23T01:37:55.1471184Z 2022-11-23T01:37:55.1471255Z - 2022-11-23T01:37:55.1471379Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.1471459Z { 2022-11-23T01:37:55.1471604Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1471712Z 'code': None, 2022-11-23T01:37:55.1471925Z 'obj_weakref': 2022-11-23T01:37:55.1472183Z 'guarded_class': 2022-11-23T01:37:55.1472251Z } 2022-11-23T01:37:55.1472315Z 2022-11-23T01:37:55.1472384Z - 2022-11-23T01:37:55.1472504Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.1472565Z { 2022-11-23T01:37:55.1472700Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.1472872Z 'code': ['___check_obj_id(model, 140538739880448)'], 2022-11-23T01:37:55.1472994Z 'obj_weakref': None 2022-11-23T01:37:55.1473225Z 'guarded_class': 2022-11-23T01:37:55.1473290Z } 2022-11-23T01:37:55.1473340Z 2022-11-23T01:37:55.1473410Z - 2022-11-23T01:37:55.1473533Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.1473595Z { 2022-11-23T01:37:55.1473732Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.1473954Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.1474075Z 'obj_weakref': None 2022-11-23T01:37:55.1474285Z 'guarded_class': 2022-11-23T01:37:55.1474349Z } 2022-11-23T01:37:55.1474409Z 2022-11-23T01:37:55.1474481Z - 2022-11-23T01:37:55.1474616Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.1474677Z { 2022-11-23T01:37:55.1474787Z 'guard_types': None, 2022-11-23T01:37:55.1474895Z 'code': None, 2022-11-23T01:37:55.1475016Z 'obj_weakref': None 2022-11-23T01:37:55.1475139Z 'guarded_class': None 2022-11-23T01:37:55.1475200Z } 2022-11-23T01:37:55.1475262Z 2022-11-23T01:37:55.1475527Z [2022-11-23 01:33:49,270] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 314 2022-11-23T01:37:55.1475904Z [2022-11-23 01:33:49,273] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7o/c7og2yfefstygnpgjac3tgab5i2h2koqnm6w6d6vjsfe7cbdr6zv.py 2022-11-23T01:37:55.1476158Z [2022-11-23 01:33:49,273] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 314 2022-11-23T01:37:55.1476164Z 2022-11-23T01:37:55.1476257Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.1476326Z import torch 2022-11-23T01:37:55.1476396Z import random 2022-11-23T01:37:55.1476508Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.1476628Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.1476636Z 2022-11-23T01:37:55.1476712Z aten = torch.ops.aten 2022-11-23T01:37:55.1476833Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.1476923Z async_compile = AsyncCompile() 2022-11-23T01:37:55.1476928Z 2022-11-23T01:37:55.1476934Z 2022-11-23T01:37:55.1477019Z async_compile.wait(globals()) 2022-11-23T01:37:55.1477095Z del async_compile 2022-11-23T01:37:55.1477100Z 2022-11-23T01:37:55.1477233Z def call(args): 2022-11-23T01:37:55.1477312Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.1477383Z args.clear() 2022-11-23T01:37:55.1477590Z buf0 = empty_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1477700Z aten.mm.out(arg0_1, as_strided(arg1_1, (32, 32), (32, 1)), out=buf0) 2022-11-23T01:37:55.1477768Z del arg0_1 2022-11-23T01:37:55.1477834Z del arg1_1 2022-11-23T01:37:55.1477905Z return (buf0, ) 2022-11-23T01:37:55.1477910Z 2022-11-23T01:37:55.1477913Z 2022-11-23T01:37:55.1477988Z if __name__ == "__main__": 2022-11-23T01:37:55.1478132Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.1478256Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.1478461Z arg0_1 = rand_strided((32, 32), (1, 32), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1478662Z arg1_1 = rand_strided((32, 1, 32), (32, 1024, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1478781Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.1478786Z 2022-11-23T01:37:55.1478853Z ok (0.031s) 2022-11-23T01:37:55.1479168Z test_move_arange_cpu (__main__.CpuTests) ... [2022-11-23 01:33:49,277] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.1479442Z [2022-11-23 01:33:49,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.1479664Z [2022-11-23 01:33:49,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.1479923Z [2022-11-23 01:33:49,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.1480215Z [2022-11-23 01:33:49,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.1480541Z [2022-11-23 01:33:49,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.1480858Z [2022-11-23 01:33:49,277] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.1480956Z 2422 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.1481047Z 2 LOAD_ATTR 1 (arange) 2022-11-23T01:37:55.1481141Z 4 LOAD_GLOBAL 2 (len) 2022-11-23T01:37:55.1481231Z 6 LOAD_FAST 0 (x) 2022-11-23T01:37:55.1481320Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.1481468Z 10 LOAD_CONST 1 ('cpu') 2022-11-23T01:37:55.1481622Z 12 LOAD_CONST 2 (('device',)) 2022-11-23T01:37:55.1481704Z 14 CALL_FUNCTION_KW 2 2022-11-23T01:37:55.1481795Z 16 LOAD_METHOD 3 (to) 2022-11-23T01:37:55.1481884Z 18 LOAD_FAST 0 (x) 2022-11-23T01:37:55.1481978Z 20 LOAD_ATTR 4 (device) 2022-11-23T01:37:55.1482063Z 22 CALL_METHOD 1 2022-11-23T01:37:55.1482150Z 24 LOAD_FAST 0 (x) 2022-11-23T01:37:55.1482222Z 26 BINARY_ADD 2022-11-23T01:37:55.1482285Z 28 RETURN_VALUE 2022-11-23T01:37:55.1482343Z 2022-11-23T01:37:55.1482348Z 2022-11-23T01:37:55.1482617Z [2022-11-23 01:33:49,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2422 2022-11-23T01:37:55.1482838Z [2022-11-23 01:33:49,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.1483218Z [2022-11-23 01:33:49,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR arange [TorchVariable()] 2022-11-23T01:37:55.1483584Z [2022-11-23 01:33:49,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL len [TorchVariable()] 2022-11-23T01:37:55.1483942Z [2022-11-23 01:33:49,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(), BuiltinVariable(len)] 2022-11-23T01:37:55.1484335Z [2022-11-23 01:33:49,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), BuiltinVariable(len), TensorVariable()] 2022-11-23T01:37:55.1484700Z [2022-11-23 01:33:49,278] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST cpu [TorchVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1485147Z [2022-11-23 01:33:49,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(), ConstantVariable(int), ConstantVariable(str)] 2022-11-23T01:37:55.1485599Z [2022-11-23 01:33:49,279] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(), ConstantVariable(int), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:37:55.1485829Z [2022-11-23 01:33:49,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable()] 2022-11-23T01:37:55.1486105Z [2022-11-23 01:33:49,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [GetAttrVariable(TensorVariable(), to)] 2022-11-23T01:37:55.1486421Z [2022-11-23 01:33:49,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [GetAttrVariable(TensorVariable(), to), TensorVariable()] 2022-11-23T01:37:55.1486735Z [2022-11-23 01:33:49,280] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), to), TorchVariable(cpu)] 2022-11-23T01:37:55.1486975Z [2022-11-23 01:33:49,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()] 2022-11-23T01:37:55.1487253Z [2022-11-23 01:33:49,281] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1487503Z [2022-11-23 01:33:49,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.1487834Z [2022-11-23 01:33:49,282] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.1488083Z [2022-11-23 01:33:49,282] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.1488322Z [2022-11-23 01:33:49,282] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.1488569Z [2022-11-23 01:33:49,283] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.1488821Z [2022-11-23 01:33:49,286] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.1489016Z [2022-11-23 01:33:49,286] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.1489151Z __compiled_fn_322 .2749 opcode, name, target, args, kwargs 2022-11-23T01:37:55.1489240Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.1489494Z call_function, arange, , (32,), {'device': 'cpu'} 2022-11-23T01:37:55.1489657Z call_method, to, to, (arange, device(type='cpu')), {} 2022-11-23T01:37:55.1489836Z call_function, add, , (to, ex_0_), {} 2022-11-23T01:37:55.1489923Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.1489931Z 2022-11-23T01:37:55.1490208Z [2022-11-23 01:33:49,287] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.1490303Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.1490393Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1490518Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.1490609Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.1490684Z 8 RETURN_VALUE 2022-11-23T01:37:55.1490690Z 2022-11-23T01:37:55.1490748Z 2022-11-23T01:37:55.1491014Z [2022-11-23 01:33:49,287] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.1491122Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_322) 2022-11-23T01:37:55.1491211Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1491300Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.1491409Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.1491498Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.1491588Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.1491648Z 12 RETURN_VALUE 2022-11-23T01:37:55.1491665Z 2022-11-23T01:37:55.1491711Z 2022-11-23T01:37:55.1491898Z [2022-11-23 01:33:49,287] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.1491976Z - 2022-11-23T01:37:55.1492098Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.1492165Z { 2022-11-23T01:37:55.1492311Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.1492490Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.1492615Z 'obj_weakref': None 2022-11-23T01:37:55.1492840Z 'guarded_class': 2022-11-23T01:37:55.1492906Z } 2022-11-23T01:37:55.1492970Z 2022-11-23T01:37:55.1493047Z - 2022-11-23T01:37:55.1493174Z local 'ex[0]' TYPE_MATCH 2022-11-23T01:37:55.1493228Z { 2022-11-23T01:37:55.1493370Z 'guard_types': ['TYPE_MATCH'], 2022-11-23T01:37:55.1493542Z 'code': ['___check_type_id(ex[0], 93851459086816)'], 2022-11-23T01:37:55.1493763Z 'obj_weakref': 2022-11-23T01:37:55.1494025Z 'guarded_class': 2022-11-23T01:37:55.1494093Z } 2022-11-23T01:37:55.1494157Z 2022-11-23T01:37:55.1494230Z - 2022-11-23T01:37:55.1494347Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.1494412Z { 2022-11-23T01:37:55.1494559Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1494670Z 'code': None, 2022-11-23T01:37:55.1494888Z 'obj_weakref': 2022-11-23T01:37:55.1495153Z 'guarded_class': 2022-11-23T01:37:55.1495219Z } 2022-11-23T01:37:55.1495268Z 2022-11-23T01:37:55.1495344Z - 2022-11-23T01:37:55.1495479Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.1495543Z { 2022-11-23T01:37:55.1495684Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.1495860Z 'code': ['___check_obj_id(model, 140538740212368)'], 2022-11-23T01:37:55.1495982Z 'obj_weakref': None 2022-11-23T01:37:55.1496204Z 'guarded_class': 2022-11-23T01:37:55.1496269Z } 2022-11-23T01:37:55.1496338Z 2022-11-23T01:37:55.1496412Z - 2022-11-23T01:37:55.1496537Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.1496603Z { 2022-11-23T01:37:55.1496729Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.1496955Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.1497080Z 'obj_weakref': None 2022-11-23T01:37:55.1497308Z 'guarded_class': 2022-11-23T01:37:55.1497373Z } 2022-11-23T01:37:55.1497472Z 2022-11-23T01:37:55.1497546Z - 2022-11-23T01:37:55.1497676Z global 'len' BUILTIN_MATCH 2022-11-23T01:37:55.1497728Z { 2022-11-23T01:37:55.1497852Z 'guard_types': None, 2022-11-23T01:37:55.1497962Z 'code': None, 2022-11-23T01:37:55.1498084Z 'obj_weakref': None 2022-11-23T01:37:55.1498211Z 'guarded_class': None 2022-11-23T01:37:55.1498276Z } 2022-11-23T01:37:55.1498326Z 2022-11-23T01:37:55.1498394Z - 2022-11-23T01:37:55.1498526Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.1498642Z { 2022-11-23T01:37:55.1498921Z 'guard_types': None, 2022-11-23T01:37:55.1499097Z 'code': None, 2022-11-23T01:37:55.1499222Z 'obj_weakref': None 2022-11-23T01:37:55.1499334Z 'guarded_class': None 2022-11-23T01:37:55.1499399Z } 2022-11-23T01:37:55.1499462Z 2022-11-23T01:37:55.1499732Z [2022-11-23 01:33:49,292] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 315 2022-11-23T01:37:55.1500115Z [2022-11-23 01:33:50,650] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wy/cwypqwd3whbxwigk4vsgkqb4puc3zdrldpxxpdbjcihe3qzzqqsd.py 2022-11-23T01:37:55.1500388Z [2022-11-23 01:33:50,651] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 315 2022-11-23T01:37:55.1500394Z 2022-11-23T01:37:55.1500486Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.1500554Z import torch 2022-11-23T01:37:55.1500613Z import random 2022-11-23T01:37:55.1500730Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.1500851Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.1500857Z 2022-11-23T01:37:55.1500936Z aten = torch.ops.aten 2022-11-23T01:37:55.1501073Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.1501166Z async_compile = AsyncCompile() 2022-11-23T01:37:55.1501171Z 2022-11-23T01:37:55.1501176Z 2022-11-23T01:37:55.1501311Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.1501518Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.1501624Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.1501724Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.1501785Z { 2022-11-23T01:37:55.1501860Z #pragma GCC ivdep 2022-11-23T01:37:55.1501941Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:37:55.1502001Z { 2022-11-23T01:37:55.1502065Z { 2022-11-23T01:37:55.1502116Z { 2022-11-23T01:37:55.1502205Z auto tmp2 = in_ptr0[i0]; 2022-11-23T01:37:55.1502307Z auto tmp0 = static_cast(i0); 2022-11-23T01:37:55.1502411Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:37:55.1502501Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:37:55.1502588Z out_ptr0[i0] = tmp3; 2022-11-23T01:37:55.1502649Z } 2022-11-23T01:37:55.1502698Z } 2022-11-23T01:37:55.1502757Z } 2022-11-23T01:37:55.1502818Z } 2022-11-23T01:37:55.1502897Z ''') 2022-11-23T01:37:55.1502903Z 2022-11-23T01:37:55.1502907Z 2022-11-23T01:37:55.1502996Z async_compile.wait(globals()) 2022-11-23T01:37:55.1503067Z del async_compile 2022-11-23T01:37:55.1503072Z 2022-11-23T01:37:55.1503140Z def call(args): 2022-11-23T01:37:55.1503195Z arg0_1, = args 2022-11-23T01:37:55.1503265Z args.clear() 2022-11-23T01:37:55.1503465Z buf0 = empty_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1503602Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.1503670Z del arg0_1 2022-11-23T01:37:55.1503739Z return (buf0, ) 2022-11-23T01:37:55.1503743Z 2022-11-23T01:37:55.1503748Z 2022-11-23T01:37:55.1503823Z if __name__ == "__main__": 2022-11-23T01:37:55.1503980Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.1504106Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.1504307Z arg0_1 = rand_strided((32, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1504415Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.1504420Z 2022-11-23T01:37:55.1504486Z ok (1.378s) 2022-11-23T01:37:55.1504625Z test_multi_device_cpu (__main__.CpuTests) ... skip: requires cuda (0.001s) 2022-11-23T01:37:55.1504772Z test_multilayer_low_prec_cpu (__main__.CpuTests) ... skip: requires CUDA (0.001s) 2022-11-23T01:37:55.1504916Z test_nan_to_num_cpu (__main__.CpuTests) ... skip: Skipping due to op bugs (0.001s) 2022-11-23T01:37:55.1505253Z test_narrow_cpu (__main__.CpuTests) ... [2022-11-23 01:33:50,660] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.1505536Z [2022-11-23 01:33:50,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.1505759Z [2022-11-23 01:33:50,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.1506018Z [2022-11-23 01:33:50,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.1506308Z [2022-11-23 01:33:50,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.1506635Z [2022-11-23 01:33:50,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.1506971Z [2022-11-23 01:33:50,661] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.1507066Z 3600 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.1507160Z 2 LOAD_METHOD 1 (narrow) 2022-11-23T01:37:55.1507241Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:55.1507331Z 6 LOAD_CONST 1 (1) 2022-11-23T01:37:55.1507419Z 8 LOAD_CONST 2 (10) 2022-11-23T01:37:55.1507507Z 10 LOAD_CONST 3 (16) 2022-11-23T01:37:55.1507595Z 12 CALL_METHOD 4 2022-11-23T01:37:55.1507686Z 14 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.1507780Z 16 LOAD_METHOD 1 (narrow) 2022-11-23T01:37:55.1507869Z 18 LOAD_FAST 0 (x) 2022-11-23T01:37:55.1507945Z 20 LOAD_CONST 4 (2) 2022-11-23T01:37:55.1508021Z 22 BINARY_ADD 2022-11-23T01:37:55.1508190Z 24 LOAD_CONST 5 (0) 2022-11-23T01:37:55.1508296Z 26 LOAD_CONST 2 (10) 2022-11-23T01:37:55.1508383Z 28 LOAD_CONST 3 (16) 2022-11-23T01:37:55.1508470Z 30 CALL_METHOD 4 2022-11-23T01:37:55.1508558Z 32 LOAD_CONST 1 (1) 2022-11-23T01:37:55.1508618Z 34 BINARY_ADD 2022-11-23T01:37:55.1508707Z 36 BUILD_TUPLE 2 2022-11-23T01:37:55.1508781Z 38 RETURN_VALUE 2022-11-23T01:37:55.1508842Z 2022-11-23T01:37:55.1508847Z 2022-11-23T01:37:55.1509124Z [2022-11-23 01:33:50,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3600 2022-11-23T01:37:55.1509347Z [2022-11-23 01:33:50,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.1509661Z [2022-11-23 01:33:50,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR narrow [TorchVariable()] 2022-11-23T01:37:55.1509920Z [2022-11-23 01:33:50,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.narrow)] 2022-11-23T01:37:55.1510239Z [2022-11-23 01:33:50,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.narrow), TensorVariable()] 2022-11-23T01:37:55.1510566Z [2022-11-23 01:33:50,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1510926Z [2022-11-23 01:33:50,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 16 [TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1511327Z [2022-11-23 01:33:50,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1511612Z [2022-11-23 01:33:50,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:55.1511950Z [2022-11-23 01:33:50,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR narrow [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.1512234Z [2022-11-23 01:33:50,674] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.narrow)] 2022-11-23T01:37:55.1512546Z [2022-11-23 01:33:50,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.narrow), TensorVariable()] 2022-11-23T01:37:55.1512902Z [2022-11-23 01:33:50,675] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1513214Z [2022-11-23 01:33:50,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.narrow), TensorVariable()] 2022-11-23T01:37:55.1513565Z [2022-11-23 01:33:50,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1513958Z [2022-11-23 01:33:50,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 16 [TensorVariable(), TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1514376Z [2022-11-23 01:33:50,676] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), TorchVariable(aten.narrow), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1514645Z [2022-11-23 01:33:50,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1514955Z [2022-11-23 01:33:50,677] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1515230Z [2022-11-23 01:33:50,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1515482Z [2022-11-23 01:33:50,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.1515817Z [2022-11-23 01:33:50,678] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.1516062Z [2022-11-23 01:33:50,678] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.1516298Z [2022-11-23 01:33:50,678] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.1516554Z [2022-11-23 01:33:50,680] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.1516809Z [2022-11-23 01:33:50,684] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.1516990Z [2022-11-23 01:33:50,684] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.1517124Z __compiled_fn_323 .2755 opcode, name, target, args, kwargs 2022-11-23T01:37:55.1517212Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.1517369Z call_function, narrow, aten.narrow, (ex_0_, 1, 10, 16), {} 2022-11-23T01:37:55.1517546Z call_function, add, , (ex_0_, 2), {} 2022-11-23T01:37:55.1517659Z call_function, narrow_1, aten.narrow, (add, 0, 10, 16), {} 2022-11-23T01:37:55.1517844Z call_function, add_1, , (narrow_1, 1), {} 2022-11-23T01:37:55.1517951Z output, output, output, ((narrow, add_1),), {} 2022-11-23T01:37:55.1517957Z 2022-11-23T01:37:55.1518224Z [2022-11-23 01:33:50,685] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.1518315Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.1518440Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1518533Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.1518620Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.1518695Z 8 RETURN_VALUE 2022-11-23T01:37:55.1518700Z 2022-11-23T01:37:55.1518761Z 2022-11-23T01:37:55.1519039Z [2022-11-23 01:33:50,685] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.1519135Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_323) 2022-11-23T01:37:55.1519225Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1519314Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.1519389Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.1519477Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.1519581Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.1519684Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.1519763Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.1519837Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.1519935Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.1520021Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.1520094Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.1520184Z 24 BUILD_TUPLE 2 2022-11-23T01:37:55.1520258Z 26 RETURN_VALUE 2022-11-23T01:37:55.1520263Z 2022-11-23T01:37:55.1520310Z 2022-11-23T01:37:55.1520494Z [2022-11-23 01:33:50,686] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.1520565Z - 2022-11-23T01:37:55.1520686Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.1520748Z { 2022-11-23T01:37:55.1520891Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.1521082Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.1521195Z 'obj_weakref': None 2022-11-23T01:37:55.1521420Z 'guarded_class': 2022-11-23T01:37:55.1521484Z } 2022-11-23T01:37:55.1521550Z 2022-11-23T01:37:55.1521620Z - 2022-11-23T01:37:55.1521745Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.1521807Z { 2022-11-23T01:37:55.1521940Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1522049Z 'code': None, 2022-11-23T01:37:55.1522265Z 'obj_weakref': 2022-11-23T01:37:55.1522523Z 'guarded_class': 2022-11-23T01:37:55.1522588Z } 2022-11-23T01:37:55.1522649Z 2022-11-23T01:37:55.1522719Z - 2022-11-23T01:37:55.1522839Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.1522901Z { 2022-11-23T01:37:55.1523041Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.1523214Z 'code': ['___check_obj_id(model, 140538740400496)'], 2022-11-23T01:37:55.1523335Z 'obj_weakref': None 2022-11-23T01:37:55.1523570Z 'guarded_class': 2022-11-23T01:37:55.1523669Z } 2022-11-23T01:37:55.1523722Z 2022-11-23T01:37:55.1523792Z - 2022-11-23T01:37:55.1523916Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.1523978Z { 2022-11-23T01:37:55.1524115Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.1524333Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.1524456Z 'obj_weakref': None 2022-11-23T01:37:55.1524665Z 'guarded_class': 2022-11-23T01:37:55.1524760Z } 2022-11-23T01:37:55.1524823Z 2022-11-23T01:37:55.1524893Z - 2022-11-23T01:37:55.1525028Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.1525089Z { 2022-11-23T01:37:55.1525211Z 'guard_types': None, 2022-11-23T01:37:55.1525308Z 'code': None, 2022-11-23T01:37:55.1525425Z 'obj_weakref': None 2022-11-23T01:37:55.1525551Z 'guarded_class': None 2022-11-23T01:37:55.1525613Z } 2022-11-23T01:37:55.1525675Z 2022-11-23T01:37:55.1525938Z [2022-11-23 01:33:50,693] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 316 2022-11-23T01:37:55.1526307Z [2022-11-23 01:33:52,070] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/va/cva73nkrafire27c2kyvrllun56wmtk4ljgjnwc6hxslw6b2puyy.py 2022-11-23T01:37:55.1526561Z [2022-11-23 01:33:52,070] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 316 2022-11-23T01:37:55.1526583Z 2022-11-23T01:37:55.1526664Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.1526732Z import torch 2022-11-23T01:37:55.1526801Z import random 2022-11-23T01:37:55.1526916Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.1527036Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.1527041Z 2022-11-23T01:37:55.1527120Z aten = torch.ops.aten 2022-11-23T01:37:55.1527253Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.1527331Z async_compile = AsyncCompile() 2022-11-23T01:37:55.1527335Z 2022-11-23T01:37:55.1527351Z 2022-11-23T01:37:55.1527473Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.1527677Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.1527796Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.1527898Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.1527958Z { 2022-11-23T01:37:55.1528042Z for(long i0=0; i0<128; i0+=1) 2022-11-23T01:37:55.1528106Z { 2022-11-23T01:37:55.1528243Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 640 + (8*i0)); 2022-11-23T01:37:55.1528381Z auto tmp1 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:37:55.1528463Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.1528594Z auto tmp3 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:55.1528674Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.1528762Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.1528823Z } 2022-11-23T01:37:55.1528898Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.1528981Z for(long i0=1024; i0<1024; i0+=1) 2022-11-23T01:37:55.1529041Z { 2022-11-23T01:37:55.1529125Z auto tmp0 = in_ptr0[640 + i0]; 2022-11-23T01:37:55.1529217Z auto tmp1 = static_cast(2); 2022-11-23T01:37:55.1529297Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.1529392Z auto tmp3 = static_cast(1); 2022-11-23T01:37:55.1529460Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.1529538Z out_ptr0[i0] = tmp4; 2022-11-23T01:37:55.1529599Z } 2022-11-23T01:37:55.1529658Z } 2022-11-23T01:37:55.1529739Z ''') 2022-11-23T01:37:55.1529744Z 2022-11-23T01:37:55.1529749Z 2022-11-23T01:37:55.1529836Z async_compile.wait(globals()) 2022-11-23T01:37:55.1529940Z del async_compile 2022-11-23T01:37:55.1529945Z 2022-11-23T01:37:55.1530005Z def call(args): 2022-11-23T01:37:55.1530074Z arg0_1, = args 2022-11-23T01:37:55.1530145Z args.clear() 2022-11-23T01:37:55.1530352Z buf0 = empty_strided((16, 64), (64, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1530486Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.1530593Z return (as_strided(arg0_1, (64, 16), (64, 1), 10), buf0, ) 2022-11-23T01:37:55.1530598Z 2022-11-23T01:37:55.1530602Z 2022-11-23T01:37:55.1530675Z if __name__ == "__main__": 2022-11-23T01:37:55.1530821Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.1530931Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.1531137Z arg0_1 = rand_strided((64, 64), (64, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1531244Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.1531249Z 2022-11-23T01:37:55.1531319Z ok (1.417s) 2022-11-23T01:37:55.1531647Z test_new_empty_strided_cpu (__main__.CpuTests) ... [2022-11-23 01:33:52,078] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.1531923Z [2022-11-23 01:33:52,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.1532148Z [2022-11-23 01:33:52,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.1532407Z [2022-11-23 01:33:52,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.1532702Z [2022-11-23 01:33:52,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.1533014Z [2022-11-23 01:33:52,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.1533350Z [2022-11-23 01:33:52,078] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.1533450Z 3814 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.1533564Z 2 LOAD_METHOD 1 (new_empty_strided) 2022-11-23T01:37:55.1533658Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.1533750Z 6 LOAD_CONST 1 (1) 2022-11-23T01:37:55.1533843Z 8 LOAD_CONST 2 (128) 2022-11-23T01:37:55.1533935Z 10 LOAD_CONST 2 (128) 2022-11-23T01:37:55.1534013Z 12 BUILD_LIST 3 2022-11-23T01:37:55.1534106Z 14 LOAD_CONST 3 (16384) 2022-11-23T01:37:55.1534193Z 16 LOAD_CONST 2 (128) 2022-11-23T01:37:55.1534282Z 18 LOAD_CONST 1 (1) 2022-11-23T01:37:55.1534370Z 20 BUILD_LIST 3 2022-11-23T01:37:55.1534461Z 22 CALL_METHOD 3 2022-11-23T01:37:55.1534554Z 24 LOAD_METHOD 2 (fill_) 2022-11-23T01:37:55.1534630Z 26 LOAD_CONST 4 (123) 2022-11-23T01:37:55.1534718Z 28 CALL_METHOD 1 2022-11-23T01:37:55.1534797Z 30 RETURN_VALUE 2022-11-23T01:37:55.1534859Z 2022-11-23T01:37:55.1534864Z 2022-11-23T01:37:55.1535138Z [2022-11-23 01:33:52,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3814 2022-11-23T01:37:55.1535360Z [2022-11-23 01:33:52,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.1535692Z [2022-11-23 01:33:52,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR new_empty_strided [TorchVariable()] 2022-11-23T01:37:55.1535968Z [2022-11-23 01:33:52,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.new_empty_strided)] 2022-11-23T01:37:55.1536308Z [2022-11-23 01:33:52,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.new_empty_strided), TensorVariable()] 2022-11-23T01:37:55.1536639Z [2022-11-23 01:33:52,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 128 [TorchVariable(aten.new_empty_strided), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1537018Z [2022-11-23 01:33:52,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 128 [TorchVariable(aten.new_empty_strided), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1537433Z [2022-11-23 01:33:52,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.new_empty_strided), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1537798Z [2022-11-23 01:33:52,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 16384 [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.1538165Z [2022-11-23 01:33:52,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 128 [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1538569Z [2022-11-23 01:33:52,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1539241Z [2022-11-23 01:33:52,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1539608Z [2022-11-23 01:33:52,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.new_empty_strided), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:55.1539860Z [2022-11-23 01:33:52,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR fill_ [TensorVariable()] 2022-11-23T01:37:55.1540146Z [2022-11-23 01:33:52,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 123 [GetAttrVariable(TensorVariable(), fill_)] 2022-11-23T01:37:55.1540466Z [2022-11-23 01:33:52,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), fill_), ConstantVariable(int)] 2022-11-23T01:37:55.1540719Z [2022-11-23 01:33:52,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.1541043Z [2022-11-23 01:33:52,088] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.1541297Z [2022-11-23 01:33:52,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.1541537Z [2022-11-23 01:33:52,088] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.1541798Z [2022-11-23 01:33:52,089] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.1542051Z [2022-11-23 01:33:52,092] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.1542244Z [2022-11-23 01:33:52,093] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.1542382Z __compiled_fn_324 .2761 opcode, name, target, args, kwargs 2022-11-23T01:37:55.1542472Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.1542621Z call_function, new_empty_strided, aten.new_empty_strided, (ex_0_, [1, 128, 128], [16384, 128, 1]), {} 2022-11-23T01:37:55.1542727Z call_method, fill_, fill_, (new_empty_strided, 123), {} 2022-11-23T01:37:55.1542823Z output, output, output, ((fill_,),), {} 2022-11-23T01:37:55.1542829Z 2022-11-23T01:37:55.1543108Z [2022-11-23 01:33:52,093] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.1543203Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.1543351Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1543446Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.1543536Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.1543612Z 8 RETURN_VALUE 2022-11-23T01:37:55.1543618Z 2022-11-23T01:37:55.1543665Z 2022-11-23T01:37:55.1543941Z [2022-11-23 01:33:52,093] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.1544051Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_324) 2022-11-23T01:37:55.1544140Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1544284Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.1544362Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.1544449Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.1544527Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.1544600Z 12 RETURN_VALUE 2022-11-23T01:37:55.1544605Z 2022-11-23T01:37:55.1544665Z 2022-11-23T01:37:55.1544851Z [2022-11-23 01:33:52,094] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.1544923Z - 2022-11-23T01:37:55.1545043Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.1545107Z { 2022-11-23T01:37:55.1545237Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.1545426Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.1545547Z 'obj_weakref': None 2022-11-23T01:37:55.1545774Z 'guarded_class': 2022-11-23T01:37:55.1545841Z } 2022-11-23T01:37:55.1545904Z 2022-11-23T01:37:55.1545974Z - 2022-11-23T01:37:55.1546087Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.1546150Z { 2022-11-23T01:37:55.1546292Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1546400Z 'code': None, 2022-11-23T01:37:55.1546614Z 'obj_weakref': 2022-11-23T01:37:55.1546872Z 'guarded_class': 2022-11-23T01:37:55.1546936Z } 2022-11-23T01:37:55.1546997Z 2022-11-23T01:37:55.1547054Z - 2022-11-23T01:37:55.1547188Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.1547250Z { 2022-11-23T01:37:55.1547384Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.1547556Z 'code': ['___check_obj_id(model, 140539203361824)'], 2022-11-23T01:37:55.1547680Z 'obj_weakref': None 2022-11-23T01:37:55.1547909Z 'guarded_class': 2022-11-23T01:37:55.1547959Z } 2022-11-23T01:37:55.1548020Z 2022-11-23T01:37:55.1548088Z - 2022-11-23T01:37:55.1548312Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.1548375Z { 2022-11-23T01:37:55.1548513Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.1548721Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.1548843Z 'obj_weakref': None 2022-11-23T01:37:55.1549065Z 'guarded_class': 2022-11-23T01:37:55.1549129Z } 2022-11-23T01:37:55.1549194Z 2022-11-23T01:37:55.1549265Z - 2022-11-23T01:37:55.1549397Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.1549451Z { 2022-11-23T01:37:55.1549572Z 'guard_types': None, 2022-11-23T01:37:55.1549680Z 'code': None, 2022-11-23T01:37:55.1549800Z 'obj_weakref': None 2022-11-23T01:37:55.1549923Z 'guarded_class': None 2022-11-23T01:37:55.1549988Z } 2022-11-23T01:37:55.1550048Z 2022-11-23T01:37:55.1550330Z [2022-11-23 01:33:52,100] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 317 2022-11-23T01:37:55.1550707Z [2022-11-23 01:33:53,472] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2y/c2y7uvfhitby26uym6vjg7wqvuhnpmkt6nezhfxkgj3fxdgf6piy.py 2022-11-23T01:37:55.1550972Z [2022-11-23 01:33:53,473] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 317 2022-11-23T01:37:55.1550978Z 2022-11-23T01:37:55.1551069Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.1551137Z import torch 2022-11-23T01:37:55.1551240Z import random 2022-11-23T01:37:55.1551354Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.1551475Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.1551481Z 2022-11-23T01:37:55.1551545Z aten = torch.ops.aten 2022-11-23T01:37:55.1551680Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.1551773Z async_compile = AsyncCompile() 2022-11-23T01:37:55.1551778Z 2022-11-23T01:37:55.1551783Z 2022-11-23T01:37:55.1551918Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.1552124Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.1552236Z extern "C" void kernel(float* __restrict__ out_ptr0) 2022-11-23T01:37:55.1552295Z { 2022-11-23T01:37:55.1552374Z for(long i0=0; i0<2048; i0+=1) 2022-11-23T01:37:55.1552423Z { 2022-11-23T01:37:55.1552563Z auto tmp0 = at::vec::Vectorized(static_cast(123)); 2022-11-23T01:37:55.1552654Z tmp0.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.1552714Z } 2022-11-23T01:37:55.1552800Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.1552881Z for(long i0=16384; i0<16384; i0+=1) 2022-11-23T01:37:55.1552941Z { 2022-11-23T01:37:55.1553025Z auto tmp0 = static_cast(123); 2022-11-23T01:37:55.1553101Z out_ptr0[i0] = tmp0; 2022-11-23T01:37:55.1553161Z } 2022-11-23T01:37:55.1553221Z } 2022-11-23T01:37:55.1553300Z ''') 2022-11-23T01:37:55.1553306Z 2022-11-23T01:37:55.1553309Z 2022-11-23T01:37:55.1553397Z async_compile.wait(globals()) 2022-11-23T01:37:55.1553469Z del async_compile 2022-11-23T01:37:55.1553474Z 2022-11-23T01:37:55.1553530Z def call(args): 2022-11-23T01:37:55.1553598Z arg0_1, = args 2022-11-23T01:37:55.1553667Z args.clear() 2022-11-23T01:37:55.1553884Z buf0 = empty_strided((1, 128, 128), (16384, 128, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1553988Z kernel_cpp_0(c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.1554064Z return (buf0, ) 2022-11-23T01:37:55.1554068Z 2022-11-23T01:37:55.1554072Z 2022-11-23T01:37:55.1554148Z if __name__ == "__main__": 2022-11-23T01:37:55.1554258Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.1554368Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.1554569Z arg0_1 = rand_strided((55, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1554677Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.1554682Z 2022-11-23T01:37:55.1554748Z ok (1.403s) 2022-11-23T01:37:55.1555058Z test_new_ones_cpu (__main__.CpuTests) ... [2022-11-23 01:33:53,481] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.1555329Z [2022-11-23 01:33:53,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.1555551Z [2022-11-23 01:33:53,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.1555810Z [2022-11-23 01:33:53,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.1556089Z [2022-11-23 01:33:53,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.1556445Z [2022-11-23 01:33:53,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.1556779Z [2022-11-23 01:33:53,481] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.1556876Z 2795 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.1556971Z 2 LOAD_ATTR 1 (new_ones) 2022-11-23T01:37:55.1556976Z 2022-11-23T01:37:55.1557067Z 2796 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.1557153Z 6 BUILD_LIST 0 2022-11-23T01:37:55.1557243Z 8 LOAD_FAST 0 (a) 2022-11-23T01:37:55.1557367Z 10 LOAD_ATTR 2 (device) 2022-11-23T01:37:55.1557443Z 12 LOAD_CONST 1 (6) 2022-11-23T01:37:55.1557529Z 14 LOAD_CONST 2 (0) 2022-11-23T01:37:55.1557621Z 16 LOAD_CONST 3 (False) 2022-11-23T01:37:55.1557831Z 18 LOAD_CONST 4 (('device', 'dtype', 'layout', 'pin_memory')) 2022-11-23T01:37:55.1557923Z 20 CALL_FUNCTION_KW 6 2022-11-23T01:37:55.1557928Z 2022-11-23T01:37:55.1558018Z 2798 22 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.1558115Z 24 LOAD_ATTR 3 (new_zeros) 2022-11-23T01:37:55.1558120Z 2022-11-23T01:37:55.1558208Z 2799 26 LOAD_FAST 0 (a) 2022-11-23T01:37:55.1558281Z 28 BUILD_LIST 0 2022-11-23T01:37:55.1558367Z 30 LOAD_FAST 0 (a) 2022-11-23T01:37:55.1558463Z 32 LOAD_ATTR 2 (device) 2022-11-23T01:37:55.1558551Z 34 LOAD_CONST 1 (6) 2022-11-23T01:37:55.1558637Z 36 LOAD_CONST 2 (0) 2022-11-23T01:37:55.1558726Z 38 LOAD_CONST 3 (False) 2022-11-23T01:37:55.1558930Z 40 LOAD_CONST 4 (('device', 'dtype', 'layout', 'pin_memory')) 2022-11-23T01:37:55.1559010Z 42 CALL_FUNCTION_KW 6 2022-11-23T01:37:55.1559096Z 44 BUILD_TUPLE 2 2022-11-23T01:37:55.1559171Z 46 RETURN_VALUE 2022-11-23T01:37:55.1559231Z 2022-11-23T01:37:55.1559236Z 2022-11-23T01:37:55.1559507Z [2022-11-23 01:33:53,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2795 2022-11-23T01:37:55.1559726Z [2022-11-23 01:33:53,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.1560034Z [2022-11-23 01:33:53,487] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR new_ones [TorchVariable()] 2022-11-23T01:37:55.1560304Z [2022-11-23 01:33:53,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2796 2022-11-23T01:37:55.1560560Z [2022-11-23 01:33:53,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.new_ones)] 2022-11-23T01:37:55.1560837Z [2022-11-23 01:33:53,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable(aten.new_ones), TensorVariable()] 2022-11-23T01:37:55.1561145Z [2022-11-23 01:33:53,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.new_ones), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.1561489Z [2022-11-23 01:33:53,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:37:55.1561831Z [2022-11-23 01:33:53,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TorchVariable(cpu)] 2022-11-23T01:37:55.1562217Z [2022-11-23 01:33:53,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int)] 2022-11-23T01:37:55.1562674Z [2022-11-23 01:33:53,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1563200Z [2022-11-23 01:33:53,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device', 'dtype', 'layout', 'pin_memory') [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool)] 2022-11-23T01:37:55.1563711Z [2022-11-23 01:33:53,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 6 [TorchVariable(aten.new_ones), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)] 2022-11-23T01:37:55.1564012Z [2022-11-23 01:33:53,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2798 2022-11-23T01:37:55.1564265Z [2022-11-23 01:33:53,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:55.1564608Z [2022-11-23 01:33:53,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR new_zeros [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.1564874Z [2022-11-23 01:33:53,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2799 2022-11-23T01:37:55.1565159Z [2022-11-23 01:33:53,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.new_zeros)] 2022-11-23T01:37:55.1565464Z [2022-11-23 01:33:53,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable()] 2022-11-23T01:37:55.1565805Z [2022-11-23 01:33:53,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.1566184Z [2022-11-23 01:33:53,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:37:55.1566556Z [2022-11-23 01:33:53,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TorchVariable(cpu)] 2022-11-23T01:37:55.1566965Z [2022-11-23 01:33:53,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int)] 2022-11-23T01:37:55.1567421Z [2022-11-23 01:33:53,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1567976Z [2022-11-23 01:33:53,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device', 'dtype', 'layout', 'pin_memory') [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool)] 2022-11-23T01:37:55.1568513Z [2022-11-23 01:33:53,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 6 [TensorVariable(), TorchVariable(aten.new_zeros), TensorVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)] 2022-11-23T01:37:55.1568784Z [2022-11-23 01:33:53,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1569037Z [2022-11-23 01:33:53,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.1569368Z [2022-11-23 01:33:53,498] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.1569641Z [2022-11-23 01:33:53,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.1569880Z [2022-11-23 01:33:53,498] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.1570122Z [2022-11-23 01:33:53,499] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.1570373Z [2022-11-23 01:33:53,505] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.1570565Z [2022-11-23 01:33:53,506] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.1570730Z __compiled_fn_325 .2767 opcode, name, target, args, kwargs 2022-11-23T01:37:55.1570818Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.1571099Z call_function, new_ones, aten.new_ones, (ex_0_, []), {'device': device(type='cpu'), 'dtype': 6, 'layout': 0, 'pin_memory': False} 2022-11-23T01:37:55.1571387Z call_function, new_zeros, aten.new_zeros, (ex_0_, []), {'device': device(type='cpu'), 'dtype': 6, 'layout': 0, 'pin_memory': False} 2022-11-23T01:37:55.1571503Z output, output, output, ((new_ones, new_zeros),), {} 2022-11-23T01:37:55.1571509Z 2022-11-23T01:37:55.1571788Z [2022-11-23 01:33:53,506] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.1571869Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.1571958Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1572048Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.1572136Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.1572213Z 8 RETURN_VALUE 2022-11-23T01:37:55.1572220Z 2022-11-23T01:37:55.1572280Z 2022-11-23T01:37:55.1572554Z [2022-11-23 01:33:53,506] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.1572662Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_325) 2022-11-23T01:37:55.1572741Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1572827Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.1572903Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.1572990Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.1573093Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.1573193Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.1573279Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.1573344Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.1573443Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.1573530Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.1573604Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.1573690Z 24 BUILD_TUPLE 2 2022-11-23T01:37:55.1573763Z 26 RETURN_VALUE 2022-11-23T01:37:55.1573769Z 2022-11-23T01:37:55.1573828Z 2022-11-23T01:37:55.1574003Z [2022-11-23 01:33:53,507] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.1574074Z - 2022-11-23T01:37:55.1574197Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.1574260Z { 2022-11-23T01:37:55.1574402Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.1574591Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.1574714Z 'obj_weakref': None 2022-11-23T01:37:55.1574928Z 'guarded_class': 2022-11-23T01:37:55.1574995Z } 2022-11-23T01:37:55.1575057Z 2022-11-23T01:37:55.1575129Z - 2022-11-23T01:37:55.1575253Z local 'ex[0]' TYPE_MATCH 2022-11-23T01:37:55.1575314Z { 2022-11-23T01:37:55.1575456Z 'guard_types': ['TYPE_MATCH'], 2022-11-23T01:37:55.1575615Z 'code': ['___check_type_id(ex[0], 93851459086816)'], 2022-11-23T01:37:55.1575860Z 'obj_weakref': 2022-11-23T01:37:55.1576116Z 'guarded_class': 2022-11-23T01:37:55.1576179Z } 2022-11-23T01:37:55.1576241Z 2022-11-23T01:37:55.1576312Z - 2022-11-23T01:37:55.1576438Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.1576488Z { 2022-11-23T01:37:55.1576634Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1576743Z 'code': None, 2022-11-23T01:37:55.1577019Z 'obj_weakref': 2022-11-23T01:37:55.1577275Z 'guarded_class': 2022-11-23T01:37:55.1577341Z } 2022-11-23T01:37:55.1577405Z 2022-11-23T01:37:55.1577463Z - 2022-11-23T01:37:55.1577600Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.1577662Z { 2022-11-23T01:37:55.1577799Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.1577972Z 'code': ['___check_obj_id(model, 140538739820160)'], 2022-11-23T01:37:55.1578094Z 'obj_weakref': None 2022-11-23T01:37:55.1578326Z 'guarded_class': 2022-11-23T01:37:55.1578378Z } 2022-11-23T01:37:55.1578441Z 2022-11-23T01:37:55.1578511Z - 2022-11-23T01:37:55.1578634Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.1578700Z { 2022-11-23T01:37:55.1579035Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.1579265Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.1579373Z 'obj_weakref': None 2022-11-23T01:37:55.1579598Z 'guarded_class': 2022-11-23T01:37:55.1579667Z } 2022-11-23T01:37:55.1579730Z 2022-11-23T01:37:55.1579801Z - 2022-11-23T01:37:55.1579937Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.1580003Z { 2022-11-23T01:37:55.1580109Z 'guard_types': None, 2022-11-23T01:37:55.1580219Z 'code': None, 2022-11-23T01:37:55.1580340Z 'obj_weakref': None 2022-11-23T01:37:55.1580466Z 'guarded_class': None 2022-11-23T01:37:55.1580531Z } 2022-11-23T01:37:55.1580595Z 2022-11-23T01:37:55.1580864Z [2022-11-23 01:33:53,513] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 318 2022-11-23T01:37:55.1581224Z [2022-11-23 01:33:54,876] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/eb/cebs3dpuecfm7ugllnj5tqhjsqbrzbpw6tax5lshr3uz354yfypf.py 2022-11-23T01:37:55.1581499Z [2022-11-23 01:33:54,877] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 318 2022-11-23T01:37:55.1581505Z 2022-11-23T01:37:55.1581602Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.1581671Z import torch 2022-11-23T01:37:55.1581741Z import random 2022-11-23T01:37:55.1581857Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.1581980Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.1581985Z 2022-11-23T01:37:55.1582064Z aten = torch.ops.aten 2022-11-23T01:37:55.1582186Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.1582278Z async_compile = AsyncCompile() 2022-11-23T01:37:55.1582286Z 2022-11-23T01:37:55.1582290Z 2022-11-23T01:37:55.1582430Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.1582638Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.1582752Z extern "C" void kernel(float* __restrict__ out_ptr0, 2022-11-23T01:37:55.1582914Z float* __restrict__ out_ptr1) 2022-11-23T01:37:55.1582976Z { 2022-11-23T01:37:55.1583038Z { 2022-11-23T01:37:55.1583089Z { 2022-11-23T01:37:55.1583192Z auto tmp0 = static_cast(1); 2022-11-23T01:37:55.1583272Z out_ptr0[0] = tmp0; 2022-11-23T01:37:55.1583335Z } 2022-11-23T01:37:55.1583397Z } 2022-11-23T01:37:55.1583459Z { 2022-11-23T01:37:55.1583507Z { 2022-11-23T01:37:55.1583607Z auto tmp0 = static_cast(0); 2022-11-23T01:37:55.1583685Z out_ptr1[0] = tmp0; 2022-11-23T01:37:55.1583748Z } 2022-11-23T01:37:55.1583858Z } 2022-11-23T01:37:55.1583918Z } 2022-11-23T01:37:55.1584001Z ''') 2022-11-23T01:37:55.1584006Z 2022-11-23T01:37:55.1584010Z 2022-11-23T01:37:55.1584088Z async_compile.wait(globals()) 2022-11-23T01:37:55.1584161Z del async_compile 2022-11-23T01:37:55.1584167Z 2022-11-23T01:37:55.1584238Z def call(args): 2022-11-23T01:37:55.1584308Z arg0_1, = args 2022-11-23T01:37:55.1584381Z args.clear() 2022-11-23T01:37:55.1584573Z buf0 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1584760Z buf1 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1584895Z kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:55.1584960Z return (buf0, buf1, ) 2022-11-23T01:37:55.1584965Z 2022-11-23T01:37:55.1584969Z 2022-11-23T01:37:55.1585042Z if __name__ == "__main__": 2022-11-23T01:37:55.1585157Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.1585281Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.1585481Z arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1585589Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.1585595Z 2022-11-23T01:37:55.1585661Z ok (1.403s) 2022-11-23T01:37:55.1585983Z test_nll_loss_forward_cpu (__main__.CpuTests) ... [2022-11-23 01:33:54,886] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.1586243Z [2022-11-23 01:33:54,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.1586466Z [2022-11-23 01:33:54,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.1586723Z [2022-11-23 01:33:54,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.1587011Z [2022-11-23 01:33:54,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.1587341Z [2022-11-23 01:33:54,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.1587673Z [2022-11-23 01:33:54,887] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.1587770Z 3343 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.1587879Z 2 LOAD_METHOD 1 (nll_loss_forward) 2022-11-23T01:37:55.1587971Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.1588047Z 6 LOAD_FAST 1 (b) 2022-11-23T01:37:55.1588210Z 8 LOAD_CONST 0 (None) 2022-11-23T01:37:55.1588309Z 10 LOAD_CONST 1 (1) 2022-11-23T01:37:55.1588455Z 12 LOAD_CONST 2 (-100) 2022-11-23T01:37:55.1588543Z 14 CALL_METHOD 5 2022-11-23T01:37:55.1588624Z 16 RETURN_VALUE 2022-11-23T01:37:55.1588684Z 2022-11-23T01:37:55.1588689Z 2022-11-23T01:37:55.1588950Z [2022-11-23 01:33:54,887] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3343 2022-11-23T01:37:55.1589171Z [2022-11-23 01:33:54,887] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.1589536Z [2022-11-23 01:33:54,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nll_loss_forward [TorchVariable()] 2022-11-23T01:37:55.1589809Z [2022-11-23 01:33:54,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.nll_loss_forward)] 2022-11-23T01:37:55.1590106Z [2022-11-23 01:33:54,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.nll_loss_forward), TensorVariable()] 2022-11-23T01:37:55.1590434Z [2022-11-23 01:33:54,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.nll_loss_forward), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1590854Z [2022-11-23 01:33:54,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.nll_loss_forward), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:55.1591269Z [2022-11-23 01:33:54,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -100 [TorchVariable(aten.nll_loss_forward), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(int)] 2022-11-23T01:37:55.1591720Z [2022-11-23 01:33:54,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.nll_loss_forward), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1591968Z [2022-11-23 01:33:54,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.1592299Z [2022-11-23 01:33:54,897] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.1592550Z [2022-11-23 01:33:54,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.1592773Z [2022-11-23 01:33:54,898] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.1593030Z [2022-11-23 01:33:54,899] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.1593283Z [2022-11-23 01:33:54,904] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.1593475Z [2022-11-23 01:33:54,904] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.1593610Z __compiled_fn_326 .2773 opcode, name, target, args, kwargs 2022-11-23T01:37:55.1593702Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.1593791Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.1594016Z call_function, nll_loss_forward, aten.nll_loss_forward, (ex_0_, ex_1_, None, 1, -100), {} 2022-11-23T01:37:55.1594214Z call_function, getitem, , (nll_loss_forward, 0), {} 2022-11-23T01:37:55.1594426Z call_function, getitem_1, , (nll_loss_forward, 1), {} 2022-11-23T01:37:55.1594538Z output, output, output, ((getitem, getitem_1),), {} 2022-11-23T01:37:55.1594543Z 2022-11-23T01:37:55.1594825Z [2022-11-23 01:33:54,905] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.1594918Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.1595006Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1595096Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.1595186Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.1595249Z 8 RETURN_VALUE 2022-11-23T01:37:55.1595253Z 2022-11-23T01:37:55.1595312Z 2022-11-23T01:37:55.1595586Z [2022-11-23 01:33:54,905] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.1595697Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_326) 2022-11-23T01:37:55.1595784Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1595872Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.1595947Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.1596051Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1596140Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.1596214Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.1596299Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.1596404Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.1596505Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.1596592Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.1596665Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.1596784Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.1596871Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:55.1596945Z 28 BINARY_SUBSCR 2022-11-23T01:37:55.1597034Z 30 BUILD_TUPLE 2 2022-11-23T01:37:55.1597106Z 32 RETURN_VALUE 2022-11-23T01:37:55.1597112Z 2022-11-23T01:37:55.1597175Z 2022-11-23T01:37:55.1597361Z [2022-11-23 01:33:54,905] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.1597421Z - 2022-11-23T01:37:55.1597539Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.1597604Z { 2022-11-23T01:37:55.1597746Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.1597933Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.1598053Z 'obj_weakref': None 2022-11-23T01:37:55.1598281Z 'guarded_class': 2022-11-23T01:37:55.1598336Z } 2022-11-23T01:37:55.1598398Z 2022-11-23T01:37:55.1598467Z - 2022-11-23T01:37:55.1598593Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.1598655Z { 2022-11-23T01:37:55.1598801Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1598910Z 'code': None, 2022-11-23T01:37:55.1599116Z 'obj_weakref': 2022-11-23T01:37:55.1599369Z 'guarded_class': 2022-11-23T01:37:55.1599434Z } 2022-11-23T01:37:55.1599496Z 2022-11-23T01:37:55.1599567Z - 2022-11-23T01:37:55.1599692Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.1599754Z { 2022-11-23T01:37:55.1599886Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1599993Z 'code': None, 2022-11-23T01:37:55.1600203Z 'obj_weakref': 2022-11-23T01:37:55.1600459Z 'guarded_class': 2022-11-23T01:37:55.1600522Z } 2022-11-23T01:37:55.1600583Z 2022-11-23T01:37:55.1600654Z - 2022-11-23T01:37:55.1600776Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.1600839Z { 2022-11-23T01:37:55.1600974Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.1601144Z 'code': ['___check_obj_id(model, 140538744180960)'], 2022-11-23T01:37:55.1601266Z 'obj_weakref': None 2022-11-23T01:37:55.1601497Z 'guarded_class': 2022-11-23T01:37:55.1601560Z } 2022-11-23T01:37:55.1601609Z 2022-11-23T01:37:55.1601677Z - 2022-11-23T01:37:55.1601799Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.1601863Z { 2022-11-23T01:37:55.1602000Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.1602218Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.1602338Z 'obj_weakref': None 2022-11-23T01:37:55.1602577Z 'guarded_class': 2022-11-23T01:37:55.1602643Z } 2022-11-23T01:37:55.1602704Z 2022-11-23T01:37:55.1602775Z - 2022-11-23T01:37:55.1602906Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.1602970Z { 2022-11-23T01:37:55.1603093Z 'guard_types': None, 2022-11-23T01:37:55.1603188Z 'code': None, 2022-11-23T01:37:55.1603306Z 'obj_weakref': None 2022-11-23T01:37:55.1603432Z 'guarded_class': None 2022-11-23T01:37:55.1603497Z } 2022-11-23T01:37:55.1603557Z 2022-11-23T01:37:55.1603822Z [2022-11-23 01:33:54,915] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 319 2022-11-23T01:37:55.1604231Z [2022-11-23 01:33:56,310] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/px/cpxxhlrz7rfzj3iseiv3fsejzf7toyjpwuphvv5p6cg4vl5k4wh3.py 2022-11-23T01:37:55.1604494Z [2022-11-23 01:33:56,310] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 319 2022-11-23T01:37:55.1604512Z 2022-11-23T01:37:55.1604594Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.1604662Z import torch 2022-11-23T01:37:55.1604729Z import random 2022-11-23T01:37:55.1604842Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.1604963Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.1604968Z 2022-11-23T01:37:55.1605047Z aten = torch.ops.aten 2022-11-23T01:37:55.1605179Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.1605259Z async_compile = AsyncCompile() 2022-11-23T01:37:55.1605266Z 2022-11-23T01:37:55.1605270Z 2022-11-23T01:37:55.1605404Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.1605610Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.1605727Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:37:55.1605833Z const long* __restrict__ in_ptr0, 2022-11-23T01:37:55.1605937Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.1606037Z float* __restrict__ out_ptr1) 2022-11-23T01:37:55.1606096Z { 2022-11-23T01:37:55.1606169Z auto out_ptr0 = in_out_ptr0; 2022-11-23T01:37:55.1606230Z { 2022-11-23T01:37:55.1606292Z { 2022-11-23T01:37:55.1606367Z float tmp3 = 0; 2022-11-23T01:37:55.1606449Z for(long i0=0; i0<5; i0+=1) 2022-11-23T01:37:55.1606512Z { 2022-11-23T01:37:55.1606564Z { 2022-11-23T01:37:55.1606653Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.1606756Z auto tmp1 = in_ptr1[tmp0 + (5*i0)]; 2022-11-23T01:37:55.1606882Z auto tmp2 = -tmp1; 2022-11-23T01:37:55.1606958Z tmp3 += tmp2; 2022-11-23T01:37:55.1607021Z } 2022-11-23T01:37:55.1607083Z } 2022-11-23T01:37:55.1607147Z out_ptr0[0] = tmp3; 2022-11-23T01:37:55.1607209Z } 2022-11-23T01:37:55.1607268Z } 2022-11-23T01:37:55.1607328Z { 2022-11-23T01:37:55.1607389Z { 2022-11-23T01:37:55.1607474Z auto tmp0 = out_ptr0[0]; 2022-11-23T01:37:55.1607572Z auto tmp1 = static_cast(5); 2022-11-23T01:37:55.1607644Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:55.1607726Z in_out_ptr0[0] = tmp2; 2022-11-23T01:37:55.1607786Z } 2022-11-23T01:37:55.1607848Z } 2022-11-23T01:37:55.1607908Z { 2022-11-23T01:37:55.1607968Z { 2022-11-23T01:37:55.1608056Z auto tmp0 = static_cast(5.0); 2022-11-23T01:37:55.1608134Z out_ptr1[0] = tmp0; 2022-11-23T01:37:55.1608194Z } 2022-11-23T01:37:55.1608251Z } 2022-11-23T01:37:55.1608310Z } 2022-11-23T01:37:55.1608390Z ''') 2022-11-23T01:37:55.1608395Z 2022-11-23T01:37:55.1608400Z 2022-11-23T01:37:55.1608490Z async_compile.wait(globals()) 2022-11-23T01:37:55.1608550Z del async_compile 2022-11-23T01:37:55.1608567Z 2022-11-23T01:37:55.1608656Z def call(args): 2022-11-23T01:37:55.1608731Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.1608802Z args.clear() 2022-11-23T01:37:55.1608989Z buf0 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1609073Z buf1 = buf0; del buf0 # reuse 2022-11-23T01:37:55.1609255Z buf2 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1609444Z kernel_cpp_0(c_void_p(buf1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:37:55.1609501Z del arg0_1 2022-11-23T01:37:55.1609597Z del arg1_1 2022-11-23T01:37:55.1609674Z return (buf1, buf2, ) 2022-11-23T01:37:55.1609679Z 2022-11-23T01:37:55.1609683Z 2022-11-23T01:37:55.1609759Z if __name__ == "__main__": 2022-11-23T01:37:55.1609875Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.1609994Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.1610197Z arg0_1 = rand_strided((5, 5), (5, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1610379Z arg1_1 = rand_strided((5, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.1610494Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.1610500Z 2022-11-23T01:37:55.1610564Z ok (1.433s) 2022-11-23T01:37:55.1610911Z test_no_mega_fusion_during_lowering_cpu (__main__.CpuTests) ... [2022-11-23 01:33:56,341] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.1611188Z [2022-11-23 01:33:56,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.1611414Z [2022-11-23 01:33:56,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.1611672Z [2022-11-23 01:33:56,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.1611963Z [2022-11-23 01:33:56,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.1612288Z [2022-11-23 01:33:56,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.1612620Z [2022-11-23 01:33:56,342] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.1612703Z 2406 0 LOAD_FAST 0 (args) 2022-11-23T01:37:55.1612791Z 2 LOAD_CONST 1 (0) 2022-11-23T01:37:55.1612871Z 4 BINARY_SUBSCR 2022-11-23T01:37:55.1612964Z 6 STORE_FAST 1 (x) 2022-11-23T01:37:55.1612969Z 2022-11-23T01:37:55.1613061Z 2407 8 SETUP_LOOP 32 (to 42) 2022-11-23T01:37:55.1613153Z 10 LOAD_GLOBAL 0 (range) 2022-11-23T01:37:55.1613245Z 12 LOAD_DEREF 0 (n) 2022-11-23T01:37:55.1613326Z 14 CALL_FUNCTION 1 2022-11-23T01:37:55.1613395Z 16 GET_ITER 2022-11-23T01:37:55.1613482Z >> 18 FOR_ITER 20 (to 40) 2022-11-23T01:37:55.1613570Z 20 STORE_FAST 2 (i) 2022-11-23T01:37:55.1613576Z 2022-11-23T01:37:55.1613667Z 2408 22 LOAD_GLOBAL 1 (torch) 2022-11-23T01:37:55.1613755Z 24 LOAD_METHOD 2 (add) 2022-11-23T01:37:55.1613842Z 26 LOAD_FAST 1 (x) 2022-11-23T01:37:55.1613931Z 28 LOAD_FAST 0 (args) 2022-11-23T01:37:55.1614008Z 30 LOAD_FAST 2 (i) 2022-11-23T01:37:55.1614083Z 32 BINARY_SUBSCR 2022-11-23T01:37:55.1614169Z 34 CALL_METHOD 2 2022-11-23T01:37:55.1614256Z 36 STORE_FAST 1 (x) 2022-11-23T01:37:55.1614345Z 38 JUMP_ABSOLUTE 18 2022-11-23T01:37:55.1614419Z >> 40 POP_BLOCK 2022-11-23T01:37:55.1614454Z 2022-11-23T01:37:55.1614541Z 2409 >> 42 LOAD_FAST 1 (x) 2022-11-23T01:37:55.1614604Z 44 RETURN_VALUE 2022-11-23T01:37:55.1614662Z 2022-11-23T01:37:55.1614667Z 2022-11-23T01:37:55.1614940Z [2022-11-23 01:33:56,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2406 2022-11-23T01:37:55.1615160Z [2022-11-23 01:33:56,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [] 2022-11-23T01:37:55.1615403Z [2022-11-23 01:33:56,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TupleVariable()] 2022-11-23T01:37:55.1615723Z [2022-11-23 01:33:56,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1615963Z [2022-11-23 01:33:56,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:55.1616232Z [2022-11-23 01:33:56,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2407 2022-11-23T01:37:55.1616449Z [2022-11-23 01:33:56,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE SETUP_LOOP 42 [] 2022-11-23T01:37:55.1616657Z [2022-11-23 01:33:56,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL range [] 2022-11-23T01:37:55.1616908Z [2022-11-23 01:33:56,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF n [BuiltinVariable(range)] 2022-11-23T01:37:55.1617201Z [2022-11-23 01:33:56,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [BuiltinVariable(range), ConstantVariable(int)] 2022-11-23T01:37:55.1617438Z [2022-11-23 01:33:56,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [RangeVariable()] 2022-11-23T01:37:55.1617694Z [2022-11-23 01:33:56,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1617983Z [2022-11-23 01:33:56,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1618255Z [2022-11-23 01:33:56,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2408 2022-11-23T01:37:55.1618517Z [2022-11-23 01:33:56,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1619187Z [2022-11-23 01:33:56,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1619560Z [2022-11-23 01:33:56,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1619945Z [2022-11-23 01:33:56,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1620366Z [2022-11-23 01:33:56,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1620836Z [2022-11-23 01:33:56,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1621262Z [2022-11-23 01:33:56,346] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1621553Z [2022-11-23 01:33:56,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1621818Z [2022-11-23 01:33:56,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1622137Z [2022-11-23 01:33:56,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1622433Z [2022-11-23 01:33:56,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1622699Z [2022-11-23 01:33:56,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1623108Z [2022-11-23 01:33:56,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1623515Z [2022-11-23 01:33:56,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1623914Z [2022-11-23 01:33:56,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1624335Z [2022-11-23 01:33:56,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1624803Z [2022-11-23 01:33:56,348] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1625215Z [2022-11-23 01:33:56,349] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1625507Z [2022-11-23 01:33:56,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1625774Z [2022-11-23 01:33:56,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1626030Z [2022-11-23 01:33:56,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1626322Z [2022-11-23 01:33:56,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1626586Z [2022-11-23 01:33:56,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1626993Z [2022-11-23 01:33:56,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1627358Z [2022-11-23 01:33:56,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1627755Z [2022-11-23 01:33:56,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1628241Z [2022-11-23 01:33:56,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1628714Z [2022-11-23 01:33:56,350] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1629143Z [2022-11-23 01:33:56,351] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1629468Z [2022-11-23 01:33:56,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1629720Z [2022-11-23 01:33:56,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1629975Z [2022-11-23 01:33:56,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1630268Z [2022-11-23 01:33:56,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1630532Z [2022-11-23 01:33:56,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1630980Z [2022-11-23 01:33:56,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1631345Z [2022-11-23 01:33:56,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1631738Z [2022-11-23 01:33:56,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1632155Z [2022-11-23 01:33:56,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1632629Z [2022-11-23 01:33:56,352] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1633059Z [2022-11-23 01:33:56,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1633345Z [2022-11-23 01:33:56,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1633609Z [2022-11-23 01:33:56,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1633849Z [2022-11-23 01:33:56,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1634142Z [2022-11-23 01:33:56,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1634407Z [2022-11-23 01:33:56,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1634818Z [2022-11-23 01:33:56,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1635178Z [2022-11-23 01:33:56,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1635574Z [2022-11-23 01:33:56,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1635989Z [2022-11-23 01:33:56,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1636457Z [2022-11-23 01:33:56,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1636914Z [2022-11-23 01:33:56,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1637206Z [2022-11-23 01:33:56,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1637473Z [2022-11-23 01:33:56,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1637725Z [2022-11-23 01:33:56,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1638049Z [2022-11-23 01:33:56,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1638314Z [2022-11-23 01:33:56,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1638725Z [2022-11-23 01:33:56,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1639084Z [2022-11-23 01:33:56,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1639473Z [2022-11-23 01:33:56,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1639889Z [2022-11-23 01:33:56,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1640354Z [2022-11-23 01:33:56,356] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1640776Z [2022-11-23 01:33:56,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1641059Z [2022-11-23 01:33:56,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1641319Z [2022-11-23 01:33:56,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1641578Z [2022-11-23 01:33:56,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1641870Z [2022-11-23 01:33:56,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1642122Z [2022-11-23 01:33:56,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1642530Z [2022-11-23 01:33:56,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1642885Z [2022-11-23 01:33:56,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1643278Z [2022-11-23 01:33:56,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1643693Z [2022-11-23 01:33:56,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1644188Z [2022-11-23 01:33:56,358] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1644612Z [2022-11-23 01:33:56,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1644892Z [2022-11-23 01:33:56,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1645186Z [2022-11-23 01:33:56,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1645439Z [2022-11-23 01:33:56,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1645730Z [2022-11-23 01:33:56,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1645993Z [2022-11-23 01:33:56,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1646398Z [2022-11-23 01:33:56,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1646747Z [2022-11-23 01:33:56,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1647138Z [2022-11-23 01:33:56,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1647550Z [2022-11-23 01:33:56,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1648017Z [2022-11-23 01:33:56,360] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1648437Z [2022-11-23 01:33:56,361] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1648724Z [2022-11-23 01:33:56,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1648986Z [2022-11-23 01:33:56,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1649240Z [2022-11-23 01:33:56,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1649531Z [2022-11-23 01:33:56,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1649796Z [2022-11-23 01:33:56,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1650203Z [2022-11-23 01:33:56,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1650567Z [2022-11-23 01:33:56,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1650991Z [2022-11-23 01:33:56,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1651397Z [2022-11-23 01:33:56,362] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1651863Z [2022-11-23 01:33:56,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1652281Z [2022-11-23 01:33:56,363] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1652594Z [2022-11-23 01:33:56,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1652858Z [2022-11-23 01:33:56,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1653110Z [2022-11-23 01:33:56,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1653399Z [2022-11-23 01:33:56,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1653663Z [2022-11-23 01:33:56,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1654066Z [2022-11-23 01:33:56,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1654427Z [2022-11-23 01:33:56,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1654818Z [2022-11-23 01:33:56,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1655227Z [2022-11-23 01:33:56,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1655689Z [2022-11-23 01:33:56,364] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1656097Z [2022-11-23 01:33:56,365] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1656381Z [2022-11-23 01:33:56,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1656639Z [2022-11-23 01:33:56,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1656892Z [2022-11-23 01:33:56,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1657182Z [2022-11-23 01:33:56,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1657444Z [2022-11-23 01:33:56,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1657851Z [2022-11-23 01:33:56,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1658237Z [2022-11-23 01:33:56,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1658629Z [2022-11-23 01:33:56,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1659262Z [2022-11-23 01:33:56,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1659731Z [2022-11-23 01:33:56,366] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1660215Z [2022-11-23 01:33:56,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1660499Z [2022-11-23 01:33:56,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1660749Z [2022-11-23 01:33:56,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1661000Z [2022-11-23 01:33:56,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1661292Z [2022-11-23 01:33:56,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1661558Z [2022-11-23 01:33:56,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1661968Z [2022-11-23 01:33:56,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1662329Z [2022-11-23 01:33:56,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1662720Z [2022-11-23 01:33:56,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1663133Z [2022-11-23 01:33:56,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1663689Z [2022-11-23 01:33:56,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1664121Z [2022-11-23 01:33:56,369] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1664407Z [2022-11-23 01:33:56,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1664667Z [2022-11-23 01:33:56,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1664907Z [2022-11-23 01:33:56,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1665197Z [2022-11-23 01:33:56,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1665458Z [2022-11-23 01:33:56,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1665913Z [2022-11-23 01:33:56,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1666275Z [2022-11-23 01:33:56,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1666666Z [2022-11-23 01:33:56,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1667077Z [2022-11-23 01:33:56,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1667577Z [2022-11-23 01:33:56,370] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1667999Z [2022-11-23 01:33:56,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1668366Z [2022-11-23 01:33:56,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1668630Z [2022-11-23 01:33:56,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1668890Z [2022-11-23 01:33:56,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1669169Z [2022-11-23 01:33:56,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1669435Z [2022-11-23 01:33:56,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1669838Z [2022-11-23 01:33:56,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1670199Z [2022-11-23 01:33:56,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1670592Z [2022-11-23 01:33:56,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1671009Z [2022-11-23 01:33:56,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1671475Z [2022-11-23 01:33:56,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1671898Z [2022-11-23 01:33:56,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1672183Z [2022-11-23 01:33:56,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1672450Z [2022-11-23 01:33:56,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1672704Z [2022-11-23 01:33:56,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1673032Z [2022-11-23 01:33:56,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1673282Z [2022-11-23 01:33:56,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1673691Z [2022-11-23 01:33:56,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1674050Z [2022-11-23 01:33:56,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1674476Z [2022-11-23 01:33:56,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1674890Z [2022-11-23 01:33:56,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1675353Z [2022-11-23 01:33:56,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1675776Z [2022-11-23 01:33:56,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1676063Z [2022-11-23 01:33:56,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1676325Z [2022-11-23 01:33:56,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1676580Z [2022-11-23 01:33:56,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1676870Z [2022-11-23 01:33:56,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1677136Z [2022-11-23 01:33:56,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1677542Z [2022-11-23 01:33:56,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1677886Z [2022-11-23 01:33:56,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1678280Z [2022-11-23 01:33:56,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1678695Z [2022-11-23 01:33:56,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1679158Z [2022-11-23 01:33:56,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1679580Z [2022-11-23 01:33:56,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1679865Z [2022-11-23 01:33:56,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1680157Z [2022-11-23 01:33:56,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1680411Z [2022-11-23 01:33:56,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1680702Z [2022-11-23 01:33:56,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1680964Z [2022-11-23 01:33:56,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1681368Z [2022-11-23 01:33:56,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1681759Z [2022-11-23 01:33:56,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1682151Z [2022-11-23 01:33:56,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1682553Z [2022-11-23 01:33:56,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1683016Z [2022-11-23 01:33:56,378] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1683439Z [2022-11-23 01:33:56,379] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1683725Z [2022-11-23 01:33:56,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1683987Z [2022-11-23 01:33:56,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1684239Z [2022-11-23 01:33:56,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1684527Z [2022-11-23 01:33:56,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1684786Z [2022-11-23 01:33:56,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1685193Z [2022-11-23 01:33:56,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1685556Z [2022-11-23 01:33:56,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1685948Z [2022-11-23 01:33:56,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1686359Z [2022-11-23 01:33:56,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1686821Z [2022-11-23 01:33:56,380] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1687232Z [2022-11-23 01:33:56,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1687578Z [2022-11-23 01:33:56,381] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1687844Z [2022-11-23 01:33:56,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1688097Z [2022-11-23 01:33:56,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1688389Z [2022-11-23 01:33:56,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1688703Z [2022-11-23 01:33:56,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1689110Z [2022-11-23 01:33:56,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1689468Z [2022-11-23 01:33:56,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1689856Z [2022-11-23 01:33:56,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1690269Z [2022-11-23 01:33:56,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1690732Z [2022-11-23 01:33:56,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1691155Z [2022-11-23 01:33:56,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1691436Z [2022-11-23 01:33:56,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1691684Z [2022-11-23 01:33:56,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1691935Z [2022-11-23 01:33:56,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1692224Z [2022-11-23 01:33:56,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1692488Z [2022-11-23 01:33:56,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1692898Z [2022-11-23 01:33:56,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1693255Z [2022-11-23 01:33:56,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1693643Z [2022-11-23 01:33:56,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1694058Z [2022-11-23 01:33:56,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1694555Z [2022-11-23 01:33:56,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1694982Z [2022-11-23 01:33:56,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1695265Z [2022-11-23 01:33:56,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1695524Z [2022-11-23 01:33:56,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1695765Z [2022-11-23 01:33:56,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1696090Z [2022-11-23 01:33:56,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1696351Z [2022-11-23 01:33:56,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1696757Z [2022-11-23 01:33:56,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1697112Z [2022-11-23 01:33:56,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1697504Z [2022-11-23 01:33:56,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1697918Z [2022-11-23 01:33:56,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1698386Z [2022-11-23 01:33:56,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1698958Z [2022-11-23 01:33:56,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1699317Z [2022-11-23 01:33:56,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1699587Z [2022-11-23 01:33:56,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1699843Z [2022-11-23 01:33:56,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1700119Z [2022-11-23 01:33:56,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1700385Z [2022-11-23 01:33:56,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1700796Z [2022-11-23 01:33:56,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1701160Z [2022-11-23 01:33:56,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1701552Z [2022-11-23 01:33:56,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1702026Z [2022-11-23 01:33:56,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1702497Z [2022-11-23 01:33:56,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1702917Z [2022-11-23 01:33:56,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1703199Z [2022-11-23 01:33:56,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1703502Z [2022-11-23 01:33:56,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1703756Z [2022-11-23 01:33:56,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1704047Z [2022-11-23 01:33:56,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1704296Z [2022-11-23 01:33:56,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1704708Z [2022-11-23 01:33:56,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1705065Z [2022-11-23 01:33:56,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1705463Z [2022-11-23 01:33:56,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1705879Z [2022-11-23 01:33:56,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1706342Z [2022-11-23 01:33:56,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1706762Z [2022-11-23 01:33:56,393] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1707045Z [2022-11-23 01:33:56,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1707307Z [2022-11-23 01:33:56,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1707562Z [2022-11-23 01:33:56,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1707853Z [2022-11-23 01:33:56,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1708215Z [2022-11-23 01:33:56,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1708628Z [2022-11-23 01:33:56,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1708981Z [2022-11-23 01:33:56,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1709411Z [2022-11-23 01:33:56,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1709826Z [2022-11-23 01:33:56,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1710292Z [2022-11-23 01:33:56,394] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1710713Z [2022-11-23 01:33:56,395] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1711030Z [2022-11-23 01:33:56,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1711292Z [2022-11-23 01:33:56,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1711547Z [2022-11-23 01:33:56,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1711839Z [2022-11-23 01:33:56,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1712102Z [2022-11-23 01:33:56,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1712515Z [2022-11-23 01:33:56,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1712878Z [2022-11-23 01:33:56,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1713273Z [2022-11-23 01:33:56,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1713672Z [2022-11-23 01:33:56,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1714137Z [2022-11-23 01:33:56,396] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1714563Z [2022-11-23 01:33:56,397] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1714848Z [2022-11-23 01:33:56,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1715108Z [2022-11-23 01:33:56,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1715360Z [2022-11-23 01:33:56,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1715650Z [2022-11-23 01:33:56,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1715911Z [2022-11-23 01:33:56,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1716319Z [2022-11-23 01:33:56,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1716717Z [2022-11-23 01:33:56,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1717110Z [2022-11-23 01:33:56,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1717523Z [2022-11-23 01:33:56,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1717991Z [2022-11-23 01:33:56,398] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1718433Z [2022-11-23 01:33:56,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1718720Z [2022-11-23 01:33:56,399] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1718983Z [2022-11-23 01:33:56,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1719238Z [2022-11-23 01:33:56,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1719534Z [2022-11-23 01:33:56,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1719800Z [2022-11-23 01:33:56,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1720209Z [2022-11-23 01:33:56,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1720567Z [2022-11-23 01:33:56,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1720959Z [2022-11-23 01:33:56,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1721378Z [2022-11-23 01:33:56,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1721849Z [2022-11-23 01:33:56,400] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1722278Z [2022-11-23 01:33:56,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1722564Z [2022-11-23 01:33:56,401] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1722813Z [2022-11-23 01:33:56,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1723066Z [2022-11-23 01:33:56,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1723366Z [2022-11-23 01:33:56,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1723629Z [2022-11-23 01:33:56,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1724065Z [2022-11-23 01:33:56,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1724428Z [2022-11-23 01:33:56,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1724821Z [2022-11-23 01:33:56,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1725270Z [2022-11-23 01:33:56,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1725743Z [2022-11-23 01:33:56,402] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1726169Z [2022-11-23 01:33:56,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1726453Z [2022-11-23 01:33:56,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1726722Z [2022-11-23 01:33:56,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1726965Z [2022-11-23 01:33:56,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1735409Z [2022-11-23 01:33:56,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1735788Z [2022-11-23 01:33:56,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1736211Z [2022-11-23 01:33:56,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1736579Z [2022-11-23 01:33:56,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1736974Z [2022-11-23 01:33:56,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1737394Z [2022-11-23 01:33:56,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1737851Z [2022-11-23 01:33:56,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1738277Z [2022-11-23 01:33:56,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1738558Z [2022-11-23 01:33:56,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1739076Z [2022-11-23 01:33:56,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1739342Z [2022-11-23 01:33:56,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1739757Z [2022-11-23 01:33:56,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1740023Z [2022-11-23 01:33:56,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1740439Z [2022-11-23 01:33:56,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1740803Z [2022-11-23 01:33:56,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1741249Z [2022-11-23 01:33:56,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1741669Z [2022-11-23 01:33:56,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1742140Z [2022-11-23 01:33:56,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1742559Z [2022-11-23 01:33:56,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1742832Z [2022-11-23 01:33:56,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1743094Z [2022-11-23 01:33:56,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1743348Z [2022-11-23 01:33:56,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1743639Z [2022-11-23 01:33:56,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1743901Z [2022-11-23 01:33:56,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1744307Z [2022-11-23 01:33:56,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1744669Z [2022-11-23 01:33:56,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1745065Z [2022-11-23 01:33:56,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1745484Z [2022-11-23 01:33:56,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1745952Z [2022-11-23 01:33:56,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1746373Z [2022-11-23 01:33:56,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1746659Z [2022-11-23 01:33:56,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1746956Z [2022-11-23 01:33:56,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1747200Z [2022-11-23 01:33:56,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1747489Z [2022-11-23 01:33:56,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1747750Z [2022-11-23 01:33:56,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1748229Z [2022-11-23 01:33:56,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1748651Z [2022-11-23 01:33:56,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1749044Z [2022-11-23 01:33:56,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1749462Z [2022-11-23 01:33:56,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1749928Z [2022-11-23 01:33:56,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1750355Z [2022-11-23 01:33:56,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1750643Z [2022-11-23 01:33:56,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1750903Z [2022-11-23 01:33:56,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1751156Z [2022-11-23 01:33:56,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1751433Z [2022-11-23 01:33:56,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1751692Z [2022-11-23 01:33:56,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1752102Z [2022-11-23 01:33:56,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1752466Z [2022-11-23 01:33:56,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1752863Z [2022-11-23 01:33:56,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1753279Z [2022-11-23 01:33:56,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1753745Z [2022-11-23 01:33:56,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1754204Z [2022-11-23 01:33:56,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1754491Z [2022-11-23 01:33:56,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1754753Z [2022-11-23 01:33:56,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1755004Z [2022-11-23 01:33:56,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1755298Z [2022-11-23 01:33:56,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1755579Z [2022-11-23 01:33:56,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1755984Z [2022-11-23 01:33:56,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1756344Z [2022-11-23 01:33:56,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1756737Z [2022-11-23 01:33:56,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1757151Z [2022-11-23 01:33:56,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1757620Z [2022-11-23 01:33:56,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1758044Z [2022-11-23 01:33:56,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1758326Z [2022-11-23 01:33:56,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1758589Z [2022-11-23 01:33:56,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1758844Z [2022-11-23 01:33:56,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1759139Z [2022-11-23 01:33:56,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1759399Z [2022-11-23 01:33:56,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1759804Z [2022-11-23 01:33:56,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1760149Z [2022-11-23 01:33:56,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1760541Z [2022-11-23 01:33:56,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1760953Z [2022-11-23 01:33:56,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1761452Z [2022-11-23 01:33:56,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1761878Z [2022-11-23 01:33:56,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1762160Z [2022-11-23 01:33:56,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1762423Z [2022-11-23 01:33:56,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1762708Z [2022-11-23 01:33:56,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1762999Z [2022-11-23 01:33:56,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1763264Z [2022-11-23 01:33:56,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1763670Z [2022-11-23 01:33:56,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1764029Z [2022-11-23 01:33:56,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1764405Z [2022-11-23 01:33:56,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1764825Z [2022-11-23 01:33:56,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1765290Z [2022-11-23 01:33:56,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1765711Z [2022-11-23 01:33:56,418] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1765992Z [2022-11-23 01:33:56,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1766259Z [2022-11-23 01:33:56,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1766510Z [2022-11-23 01:33:56,419] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1766802Z [2022-11-23 01:33:56,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1767063Z [2022-11-23 01:33:56,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1767470Z [2022-11-23 01:33:56,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1767828Z [2022-11-23 01:33:56,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1768222Z [2022-11-23 01:33:56,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1768662Z [2022-11-23 01:33:56,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1769130Z [2022-11-23 01:33:56,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1769541Z [2022-11-23 01:33:56,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1769857Z [2022-11-23 01:33:56,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1770119Z [2022-11-23 01:33:56,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1770373Z [2022-11-23 01:33:56,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1770665Z [2022-11-23 01:33:56,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1770927Z [2022-11-23 01:33:56,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1771336Z [2022-11-23 01:33:56,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1771694Z [2022-11-23 01:33:56,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1772086Z [2022-11-23 01:33:56,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1772505Z [2022-11-23 01:33:56,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1772970Z [2022-11-23 01:33:56,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1773394Z [2022-11-23 01:33:56,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1773677Z [2022-11-23 01:33:56,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1773926Z [2022-11-23 01:33:56,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1774178Z [2022-11-23 01:33:56,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1774468Z [2022-11-23 01:33:56,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1774729Z [2022-11-23 01:33:56,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1775135Z [2022-11-23 01:33:56,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1775496Z [2022-11-23 01:33:56,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1775920Z [2022-11-23 01:33:56,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1776337Z [2022-11-23 01:33:56,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1776806Z [2022-11-23 01:33:56,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1777260Z [2022-11-23 01:33:56,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1777547Z [2022-11-23 01:33:56,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1777810Z [2022-11-23 01:33:56,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1778049Z [2022-11-23 01:33:56,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1778340Z [2022-11-23 01:33:56,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1778600Z [2022-11-23 01:33:56,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1779228Z [2022-11-23 01:33:56,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1779598Z [2022-11-23 01:33:56,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1779990Z [2022-11-23 01:33:56,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1780403Z [2022-11-23 01:33:56,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1780869Z [2022-11-23 01:33:56,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1781294Z [2022-11-23 01:33:56,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1781578Z [2022-11-23 01:33:56,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1781838Z [2022-11-23 01:33:56,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1782091Z [2022-11-23 01:33:56,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1782369Z [2022-11-23 01:33:56,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1782629Z [2022-11-23 01:33:56,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1783035Z [2022-11-23 01:33:56,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1783453Z [2022-11-23 01:33:56,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1783850Z [2022-11-23 01:33:56,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1784263Z [2022-11-23 01:33:56,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1784775Z [2022-11-23 01:33:56,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1785203Z [2022-11-23 01:33:56,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1785488Z [2022-11-23 01:33:56,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1785751Z [2022-11-23 01:33:56,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1786005Z [2022-11-23 01:33:56,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1786297Z [2022-11-23 01:33:56,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1786549Z [2022-11-23 01:33:56,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1786955Z [2022-11-23 01:33:56,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1787315Z [2022-11-23 01:33:56,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1787704Z [2022-11-23 01:33:56,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1788191Z [2022-11-23 01:33:56,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1788667Z [2022-11-23 01:33:56,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1789098Z [2022-11-23 01:33:56,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1789382Z [2022-11-23 01:33:56,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1789644Z [2022-11-23 01:33:56,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1789895Z [2022-11-23 01:33:56,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1790188Z [2022-11-23 01:33:56,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1790450Z [2022-11-23 01:33:56,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1790888Z [2022-11-23 01:33:56,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1791238Z [2022-11-23 01:33:56,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1791631Z [2022-11-23 01:33:56,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1792077Z [2022-11-23 01:33:56,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1792545Z [2022-11-23 01:33:56,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1792969Z [2022-11-23 01:33:56,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1793253Z [2022-11-23 01:33:56,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1793515Z [2022-11-23 01:33:56,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1793770Z [2022-11-23 01:33:56,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1794061Z [2022-11-23 01:33:56,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1794322Z [2022-11-23 01:33:56,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1794726Z [2022-11-23 01:33:56,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1795087Z [2022-11-23 01:33:56,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1795475Z [2022-11-23 01:33:56,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1795879Z [2022-11-23 01:33:56,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1796345Z [2022-11-23 01:33:56,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1796764Z [2022-11-23 01:33:56,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1797046Z [2022-11-23 01:33:56,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1797312Z [2022-11-23 01:33:56,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1797565Z [2022-11-23 01:33:56,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1797887Z [2022-11-23 01:33:56,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1798152Z [2022-11-23 01:33:56,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1798559Z [2022-11-23 01:33:56,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1798919Z [2022-11-23 01:33:56,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1799356Z [2022-11-23 01:33:56,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1799772Z [2022-11-23 01:33:56,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1800237Z [2022-11-23 01:33:56,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1800645Z [2022-11-23 01:33:56,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1800934Z [2022-11-23 01:33:56,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1801194Z [2022-11-23 01:33:56,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1801450Z [2022-11-23 01:33:56,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1801742Z [2022-11-23 01:33:56,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1802006Z [2022-11-23 01:33:56,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1802410Z [2022-11-23 01:33:56,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1802771Z [2022-11-23 01:33:56,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1803168Z [2022-11-23 01:33:56,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1803580Z [2022-11-23 01:33:56,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1804045Z [2022-11-23 01:33:56,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1804465Z [2022-11-23 01:33:56,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1804754Z [2022-11-23 01:33:56,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1805032Z [2022-11-23 01:33:56,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1805287Z [2022-11-23 01:33:56,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1805578Z [2022-11-23 01:33:56,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1805838Z [2022-11-23 01:33:56,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1806246Z [2022-11-23 01:33:56,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1806680Z [2022-11-23 01:33:56,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1807072Z [2022-11-23 01:33:56,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1807484Z [2022-11-23 01:33:56,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1807949Z [2022-11-23 01:33:56,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1808388Z [2022-11-23 01:33:56,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1808675Z [2022-11-23 01:33:56,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1808937Z [2022-11-23 01:33:56,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1809189Z [2022-11-23 01:33:56,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1809467Z [2022-11-23 01:33:56,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1809727Z [2022-11-23 01:33:56,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1810137Z [2022-11-23 01:33:56,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1810501Z [2022-11-23 01:33:56,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1810893Z [2022-11-23 01:33:56,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1811307Z [2022-11-23 01:33:56,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1811773Z [2022-11-23 01:33:56,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1812231Z [2022-11-23 01:33:56,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1812514Z [2022-11-23 01:33:56,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1812776Z [2022-11-23 01:33:56,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1813026Z [2022-11-23 01:33:56,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1813314Z [2022-11-23 01:33:56,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1813593Z [2022-11-23 01:33:56,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1814000Z [2022-11-23 01:33:56,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1814360Z [2022-11-23 01:33:56,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1814753Z [2022-11-23 01:33:56,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1815169Z [2022-11-23 01:33:56,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1815638Z [2022-11-23 01:33:56,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1816059Z [2022-11-23 01:33:56,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1816342Z [2022-11-23 01:33:56,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1816605Z [2022-11-23 01:33:56,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1816859Z [2022-11-23 01:33:56,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1817156Z [2022-11-23 01:33:56,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST i [ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1817422Z [2022-11-23 01:33:56,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [ListIteratorVariable()] 2022-11-23T01:37:55.1817830Z [2022-11-23 01:33:56,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1818177Z [2022-11-23 01:33:56,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.1818569Z [2022-11-23 01:33:56,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST args [ListIteratorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1819272Z [2022-11-23 01:33:56,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST i [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.1819808Z [2022-11-23 01:33:56,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [ListIteratorVariable(), TorchVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1820235Z [2022-11-23 01:33:56,446] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListIteratorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1820521Z [2022-11-23 01:33:56,447] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.1820787Z [2022-11-23 01:33:56,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 18 [ListIteratorVariable()] 2022-11-23T01:37:55.1821082Z [2022-11-23 01:33:56,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 40 [ListIteratorVariable()] 2022-11-23T01:37:55.1821304Z [2022-11-23 01:33:56,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_BLOCK None [] 2022-11-23T01:37:55.1821583Z [2022-11-23 01:33:56,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2409 2022-11-23T01:37:55.1821800Z [2022-11-23 01:33:56,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.1822036Z [2022-11-23 01:33:56,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.1822373Z [2022-11-23 01:33:56,448] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.1822624Z [2022-11-23 01:33:56,448] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.1822868Z [2022-11-23 01:33:56,448] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.1823128Z [2022-11-23 01:33:56,454] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.1823385Z [2022-11-23 01:33:56,493] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.1823582Z [2022-11-23 01:33:56,494] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.1823718Z __compiled_fn_327 .2779 opcode, name, target, args, kwargs 2022-11-23T01:37:55.1823812Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.1823885Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.1823972Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:37:55.1824056Z placeholder, ex_3_, ex_3_, (), {} 2022-11-23T01:37:55.1824140Z placeholder, ex_4_, ex_4_, (), {} 2022-11-23T01:37:55.1824226Z placeholder, ex_5_, ex_5_, (), {} 2022-11-23T01:37:55.1824313Z placeholder, ex_6_, ex_6_, (), {} 2022-11-23T01:37:55.1824400Z placeholder, ex_7_, ex_7_, (), {} 2022-11-23T01:37:55.1824469Z placeholder, ex_8_, ex_8_, (), {} 2022-11-23T01:37:55.1824553Z placeholder, ex_9_, ex_9_, (), {} 2022-11-23T01:37:55.1824641Z placeholder, ex_10_, ex_10_, (), {} 2022-11-23T01:37:55.1824730Z placeholder, ex_11_, ex_11_, (), {} 2022-11-23T01:37:55.1824818Z placeholder, ex_12_, ex_12_, (), {} 2022-11-23T01:37:55.1824903Z placeholder, ex_13_, ex_13_, (), {} 2022-11-23T01:37:55.1824987Z placeholder, ex_14_, ex_14_, (), {} 2022-11-23T01:37:55.1825057Z placeholder, ex_15_, ex_15_, (), {} 2022-11-23T01:37:55.1825142Z placeholder, ex_16_, ex_16_, (), {} 2022-11-23T01:37:55.1825226Z placeholder, ex_17_, ex_17_, (), {} 2022-11-23T01:37:55.1825311Z placeholder, ex_18_, ex_18_, (), {} 2022-11-23T01:37:55.1825395Z placeholder, ex_19_, ex_19_, (), {} 2022-11-23T01:37:55.1825479Z placeholder, ex_20_, ex_20_, (), {} 2022-11-23T01:37:55.1825564Z placeholder, ex_21_, ex_21_, (), {} 2022-11-23T01:37:55.1825636Z placeholder, ex_22_, ex_22_, (), {} 2022-11-23T01:37:55.1825721Z placeholder, ex_23_, ex_23_, (), {} 2022-11-23T01:37:55.1825806Z placeholder, ex_24_, ex_24_, (), {} 2022-11-23T01:37:55.1825890Z placeholder, ex_25_, ex_25_, (), {} 2022-11-23T01:37:55.1825973Z placeholder, ex_26_, ex_26_, (), {} 2022-11-23T01:37:55.1826058Z placeholder, ex_27_, ex_27_, (), {} 2022-11-23T01:37:55.1826171Z placeholder, ex_28_, ex_28_, (), {} 2022-11-23T01:37:55.1826244Z placeholder, ex_29_, ex_29_, (), {} 2022-11-23T01:37:55.1826328Z placeholder, ex_30_, ex_30_, (), {} 2022-11-23T01:37:55.1826409Z placeholder, ex_31_, ex_31_, (), {} 2022-11-23T01:37:55.1826493Z placeholder, ex_32_, ex_32_, (), {} 2022-11-23T01:37:55.1826578Z placeholder, ex_33_, ex_33_, (), {} 2022-11-23T01:37:55.1826662Z placeholder, ex_34_, ex_34_, (), {} 2022-11-23T01:37:55.1826742Z placeholder, ex_35_, ex_35_, (), {} 2022-11-23T01:37:55.1826811Z placeholder, ex_36_, ex_36_, (), {} 2022-11-23T01:37:55.1826891Z placeholder, ex_37_, ex_37_, (), {} 2022-11-23T01:37:55.1827012Z placeholder, ex_38_, ex_38_, (), {} 2022-11-23T01:37:55.1827094Z placeholder, ex_39_, ex_39_, (), {} 2022-11-23T01:37:55.1827178Z placeholder, ex_40_, ex_40_, (), {} 2022-11-23T01:37:55.1827259Z placeholder, ex_41_, ex_41_, (), {} 2022-11-23T01:37:55.1827329Z placeholder, ex_42_, ex_42_, (), {} 2022-11-23T01:37:55.1827412Z placeholder, ex_43_, ex_43_, (), {} 2022-11-23T01:37:55.1827496Z placeholder, ex_44_, ex_44_, (), {} 2022-11-23T01:37:55.1827578Z placeholder, ex_45_, ex_45_, (), {} 2022-11-23T01:37:55.1827662Z placeholder, ex_46_, ex_46_, (), {} 2022-11-23T01:37:55.1827743Z placeholder, ex_47_, ex_47_, (), {} 2022-11-23T01:37:55.1827825Z placeholder, ex_48_, ex_48_, (), {} 2022-11-23T01:37:55.1827894Z placeholder, ex_49_, ex_49_, (), {} 2022-11-23T01:37:55.1828202Z call_function, add, , (ex_0_, ex_0_), {} 2022-11-23T01:37:55.1828445Z call_function, add_1, , (add, ex_1_), {} 2022-11-23T01:37:55.1828686Z call_function, add_2, , (add_1, ex_2_), {} 2022-11-23T01:37:55.1828920Z call_function, add_3, , (add_2, ex_3_), {} 2022-11-23T01:37:55.1829153Z call_function, add_4, , (add_3, ex_4_), {} 2022-11-23T01:37:55.1829388Z call_function, add_5, , (add_4, ex_5_), {} 2022-11-23T01:37:55.1829619Z call_function, add_6, , (add_5, ex_6_), {} 2022-11-23T01:37:55.1829848Z call_function, add_7, , (add_6, ex_7_), {} 2022-11-23T01:37:55.1830063Z call_function, add_8, , (add_7, ex_8_), {} 2022-11-23T01:37:55.1830290Z call_function, add_9, , (add_8, ex_9_), {} 2022-11-23T01:37:55.1830528Z call_function, add_10, , (add_9, ex_10_), {} 2022-11-23T01:37:55.1830767Z call_function, add_11, , (add_10, ex_11_), {} 2022-11-23T01:37:55.1830995Z call_function, add_12, , (add_11, ex_12_), {} 2022-11-23T01:37:55.1831225Z call_function, add_13, , (add_12, ex_13_), {} 2022-11-23T01:37:55.1831449Z call_function, add_14, , (add_13, ex_14_), {} 2022-11-23T01:37:55.1831671Z call_function, add_15, , (add_14, ex_15_), {} 2022-11-23T01:37:55.1831891Z call_function, add_16, , (add_15, ex_16_), {} 2022-11-23T01:37:55.1832100Z call_function, add_17, , (add_16, ex_17_), {} 2022-11-23T01:37:55.1832322Z call_function, add_18, , (add_17, ex_18_), {} 2022-11-23T01:37:55.1832548Z call_function, add_19, , (add_18, ex_19_), {} 2022-11-23T01:37:55.1832769Z call_function, add_20, , (add_19, ex_20_), {} 2022-11-23T01:37:55.1833028Z call_function, add_21, , (add_20, ex_21_), {} 2022-11-23T01:37:55.1833251Z call_function, add_22, , (add_21, ex_22_), {} 2022-11-23T01:37:55.1833473Z call_function, add_23, , (add_22, ex_23_), {} 2022-11-23T01:37:55.1833692Z call_function, add_24, , (add_23, ex_24_), {} 2022-11-23T01:37:55.1833900Z call_function, add_25, , (add_24, ex_25_), {} 2022-11-23T01:37:55.1834151Z call_function, add_26, , (add_25, ex_26_), {} 2022-11-23T01:37:55.1834371Z call_function, add_27, , (add_26, ex_27_), {} 2022-11-23T01:37:55.1834592Z call_function, add_28, , (add_27, ex_28_), {} 2022-11-23T01:37:55.1834817Z call_function, add_29, , (add_28, ex_29_), {} 2022-11-23T01:37:55.1835041Z call_function, add_30, , (add_29, ex_30_), {} 2022-11-23T01:37:55.1835260Z call_function, add_31, , (add_30, ex_31_), {} 2022-11-23T01:37:55.1835483Z call_function, add_32, , (add_31, ex_32_), {} 2022-11-23T01:37:55.1835704Z call_function, add_33, , (add_32, ex_33_), {} 2022-11-23T01:37:55.1835915Z call_function, add_34, , (add_33, ex_34_), {} 2022-11-23T01:37:55.1836138Z call_function, add_35, , (add_34, ex_35_), {} 2022-11-23T01:37:55.1836359Z call_function, add_36, , (add_35, ex_36_), {} 2022-11-23T01:37:55.1836582Z call_function, add_37, , (add_36, ex_37_), {} 2022-11-23T01:37:55.1836807Z call_function, add_38, , (add_37, ex_38_), {} 2022-11-23T01:37:55.1837029Z call_function, add_39, , (add_38, ex_39_), {} 2022-11-23T01:37:55.1837247Z call_function, add_40, , (add_39, ex_40_), {} 2022-11-23T01:37:55.1837469Z call_function, add_41, , (add_40, ex_41_), {} 2022-11-23T01:37:55.1837691Z call_function, add_42, , (add_41, ex_42_), {} 2022-11-23T01:37:55.1837898Z call_function, add_43, , (add_42, ex_43_), {} 2022-11-23T01:37:55.1838118Z call_function, add_44, , (add_43, ex_44_), {} 2022-11-23T01:37:55.1838342Z call_function, add_45, , (add_44, ex_45_), {} 2022-11-23T01:37:55.1838563Z call_function, add_46, , (add_45, ex_46_), {} 2022-11-23T01:37:55.1838784Z call_function, add_47, , (add_46, ex_47_), {} 2022-11-23T01:37:55.1839005Z call_function, add_48, , (add_47, ex_48_), {} 2022-11-23T01:37:55.1839223Z call_function, add_49, , (add_48, ex_49_), {} 2022-11-23T01:37:55.1839322Z output, output, output, ((add_49,),), {} 2022-11-23T01:37:55.1839332Z 2022-11-23T01:37:55.1839615Z [2022-11-23 01:33:56,496] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.1839699Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.1839822Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1839917Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.1840008Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.1840085Z 8 RETURN_VALUE 2022-11-23T01:37:55.1840092Z 2022-11-23T01:37:55.1840153Z 2022-11-23T01:37:55.1840432Z [2022-11-23 01:33:56,496] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.1840540Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_327) 2022-11-23T01:37:55.1840618Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1840741Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.1840819Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.1840905Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1840991Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.1841067Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.1841154Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1841229Z 16 LOAD_CONST 3 (2) 2022-11-23T01:37:55.1841305Z 18 BINARY_SUBSCR 2022-11-23T01:37:55.1841390Z 20 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1841473Z 22 LOAD_CONST 4 (3) 2022-11-23T01:37:55.1841547Z 24 BINARY_SUBSCR 2022-11-23T01:37:55.1841633Z 26 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1841716Z 28 LOAD_CONST 5 (4) 2022-11-23T01:37:55.1841776Z 30 BINARY_SUBSCR 2022-11-23T01:37:55.1841862Z 32 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1841946Z 34 LOAD_CONST 6 (5) 2022-11-23T01:37:55.1842019Z 36 BINARY_SUBSCR 2022-11-23T01:37:55.1842104Z 38 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1842188Z 40 LOAD_CONST 7 (6) 2022-11-23T01:37:55.1842260Z 42 BINARY_SUBSCR 2022-11-23T01:37:55.1842332Z 44 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1842415Z 46 LOAD_CONST 8 (7) 2022-11-23T01:37:55.1842487Z 48 BINARY_SUBSCR 2022-11-23T01:37:55.1842574Z 50 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1842657Z 52 LOAD_CONST 9 (8) 2022-11-23T01:37:55.1842730Z 54 BINARY_SUBSCR 2022-11-23T01:37:55.1842815Z 56 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1842885Z 58 LOAD_CONST 10 (9) 2022-11-23T01:37:55.1842960Z 60 BINARY_SUBSCR 2022-11-23T01:37:55.1843046Z 62 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1843131Z 64 LOAD_CONST 11 (10) 2022-11-23T01:37:55.1843205Z 66 BINARY_SUBSCR 2022-11-23T01:37:55.1843288Z 68 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1843373Z 70 LOAD_CONST 12 (11) 2022-11-23T01:37:55.1843435Z 72 BINARY_SUBSCR 2022-11-23T01:37:55.1843517Z 74 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1843602Z 76 LOAD_CONST 13 (12) 2022-11-23T01:37:55.1843674Z 78 BINARY_SUBSCR 2022-11-23T01:37:55.1843757Z 80 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1843843Z 82 LOAD_CONST 14 (13) 2022-11-23T01:37:55.1843916Z 84 BINARY_SUBSCR 2022-11-23T01:37:55.1843988Z 86 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1844073Z 88 LOAD_CONST 15 (14) 2022-11-23T01:37:55.1844149Z 90 BINARY_SUBSCR 2022-11-23T01:37:55.1844230Z 92 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1844315Z 94 LOAD_CONST 16 (15) 2022-11-23T01:37:55.1844388Z 96 BINARY_SUBSCR 2022-11-23T01:37:55.1844473Z 98 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1844574Z 100 LOAD_CONST 17 (16) 2022-11-23T01:37:55.1844650Z 102 BINARY_SUBSCR 2022-11-23T01:37:55.1844732Z 104 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1844819Z 106 LOAD_CONST 18 (17) 2022-11-23T01:37:55.1844892Z 108 BINARY_SUBSCR 2022-11-23T01:37:55.1844976Z 110 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1845059Z 112 LOAD_CONST 19 (18) 2022-11-23T01:37:55.1845120Z 114 BINARY_SUBSCR 2022-11-23T01:37:55.1845203Z 116 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1845287Z 118 LOAD_CONST 20 (19) 2022-11-23T01:37:55.1845403Z 120 BINARY_SUBSCR 2022-11-23T01:37:55.1845488Z 122 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1845574Z 124 LOAD_CONST 21 (20) 2022-11-23T01:37:55.1845648Z 126 BINARY_SUBSCR 2022-11-23T01:37:55.1845720Z 128 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1845805Z 130 LOAD_CONST 22 (21) 2022-11-23T01:37:55.1845878Z 132 BINARY_SUBSCR 2022-11-23T01:37:55.1845963Z 134 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1846046Z 136 LOAD_CONST 23 (22) 2022-11-23T01:37:55.1846119Z 138 BINARY_SUBSCR 2022-11-23T01:37:55.1846201Z 140 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1846272Z 142 LOAD_CONST 24 (23) 2022-11-23T01:37:55.1846347Z 144 BINARY_SUBSCR 2022-11-23T01:37:55.1846432Z 146 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1846519Z 148 LOAD_CONST 25 (24) 2022-11-23T01:37:55.1846592Z 150 BINARY_SUBSCR 2022-11-23T01:37:55.1846676Z 152 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1846759Z 154 LOAD_CONST 26 (25) 2022-11-23T01:37:55.1846820Z 156 BINARY_SUBSCR 2022-11-23T01:37:55.1846906Z 158 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1846990Z 160 LOAD_CONST 27 (26) 2022-11-23T01:37:55.1847064Z 162 BINARY_SUBSCR 2022-11-23T01:37:55.1847147Z 164 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1847230Z 166 LOAD_CONST 28 (27) 2022-11-23T01:37:55.1847301Z 168 BINARY_SUBSCR 2022-11-23T01:37:55.1847372Z 170 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1847454Z 172 LOAD_CONST 29 (28) 2022-11-23T01:37:55.1847526Z 174 BINARY_SUBSCR 2022-11-23T01:37:55.1847608Z 176 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1847695Z 178 LOAD_CONST 30 (29) 2022-11-23T01:37:55.1847771Z 180 BINARY_SUBSCR 2022-11-23T01:37:55.1847854Z 182 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1847924Z 184 LOAD_CONST 31 (30) 2022-11-23T01:37:55.1847996Z 186 BINARY_SUBSCR 2022-11-23T01:37:55.1848080Z 188 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1848162Z 190 LOAD_CONST 32 (31) 2022-11-23T01:37:55.1848235Z 192 BINARY_SUBSCR 2022-11-23T01:37:55.1848317Z 194 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1848401Z 196 LOAD_CONST 33 (32) 2022-11-23T01:37:55.1848462Z 198 BINARY_SUBSCR 2022-11-23T01:37:55.1848545Z 200 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1848629Z 202 LOAD_CONST 34 (33) 2022-11-23T01:37:55.1848702Z 204 BINARY_SUBSCR 2022-11-23T01:37:55.1848786Z 206 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1848871Z 208 LOAD_CONST 35 (34) 2022-11-23T01:37:55.1848945Z 210 BINARY_SUBSCR 2022-11-23T01:37:55.1849016Z 212 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1849098Z 214 LOAD_CONST 36 (35) 2022-11-23T01:37:55.1849200Z 216 BINARY_SUBSCR 2022-11-23T01:37:55.1849285Z 218 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1849369Z 220 LOAD_CONST 37 (36) 2022-11-23T01:37:55.1849442Z 222 BINARY_SUBSCR 2022-11-23T01:37:55.1849527Z 224 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1849612Z 226 LOAD_CONST 38 (37) 2022-11-23T01:37:55.1849672Z 228 BINARY_SUBSCR 2022-11-23T01:37:55.1849754Z 230 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1849839Z 232 LOAD_CONST 39 (38) 2022-11-23T01:37:55.1849940Z 234 BINARY_SUBSCR 2022-11-23T01:37:55.1850027Z 236 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1850111Z 238 LOAD_CONST 40 (39) 2022-11-23T01:37:55.1850183Z 240 BINARY_SUBSCR 2022-11-23T01:37:55.1850254Z 242 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1850341Z 244 LOAD_CONST 41 (40) 2022-11-23T01:37:55.1850416Z 246 BINARY_SUBSCR 2022-11-23T01:37:55.1850502Z 248 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1850584Z 250 LOAD_CONST 42 (41) 2022-11-23T01:37:55.1850657Z 252 BINARY_SUBSCR 2022-11-23T01:37:55.1850740Z 254 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1850812Z 256 LOAD_CONST 43 (42) 2022-11-23T01:37:55.1850885Z 258 BINARY_SUBSCR 2022-11-23T01:37:55.1850968Z 260 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1851051Z 262 LOAD_CONST 44 (43) 2022-11-23T01:37:55.1851126Z 264 BINARY_SUBSCR 2022-11-23T01:37:55.1851209Z 266 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1851291Z 268 LOAD_CONST 45 (44) 2022-11-23T01:37:55.1851352Z 270 BINARY_SUBSCR 2022-11-23T01:37:55.1851434Z 272 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1851519Z 274 LOAD_CONST 46 (45) 2022-11-23T01:37:55.1851591Z 276 BINARY_SUBSCR 2022-11-23T01:37:55.1851673Z 278 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1851757Z 280 LOAD_CONST 47 (46) 2022-11-23T01:37:55.1851829Z 282 BINARY_SUBSCR 2022-11-23T01:37:55.1851900Z 284 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1851985Z 286 LOAD_CONST 48 (47) 2022-11-23T01:37:55.1852057Z 288 BINARY_SUBSCR 2022-11-23T01:37:55.1852141Z 290 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1852227Z 292 LOAD_CONST 49 (48) 2022-11-23T01:37:55.1852301Z 294 BINARY_SUBSCR 2022-11-23T01:37:55.1852384Z 296 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1852456Z 298 LOAD_CONST 50 (49) 2022-11-23T01:37:55.1852528Z 300 BINARY_SUBSCR 2022-11-23T01:37:55.1852615Z 302 CALL_FUNCTION 50 2022-11-23T01:37:55.1852722Z 304 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.1852853Z 306 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:55.1852950Z 308 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:55.1853038Z 310 CALL_FUNCTION 0 2022-11-23T01:37:55.1853122Z 312 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:55.1853220Z 314 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.1853306Z 316 LOAD_CONST 1 (0) 2022-11-23T01:37:55.1853386Z 318 BINARY_SUBSCR 2022-11-23T01:37:55.1853478Z 320 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.1853578Z 322 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.1853664Z 324 LOAD_CONST 1 (0) 2022-11-23T01:37:55.1853727Z 326 BINARY_SUBSCR 2022-11-23T01:37:55.1853865Z 328 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:55.1853961Z 330 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.1854058Z 332 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.1854147Z 334 LOAD_CONST 1 (0) 2022-11-23T01:37:55.1854223Z 336 BINARY_SUBSCR 2022-11-23T01:37:55.1854325Z 338 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:55.1854400Z 340 RETURN_VALUE 2022-11-23T01:37:55.1854406Z 2022-11-23T01:37:55.1854454Z 2022-11-23T01:37:55.1854660Z [2022-11-23 01:33:56,498] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.1854769Z - 2022-11-23T01:37:55.1854894Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.1854960Z { 2022-11-23T01:37:55.1855106Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.1855300Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 50'], 2022-11-23T01:37:55.1855412Z 'obj_weakref': None 2022-11-23T01:37:55.1855642Z 'guarded_class': 2022-11-23T01:37:55.1855710Z } 2022-11-23T01:37:55.1855774Z 2022-11-23T01:37:55.1855847Z - 2022-11-23T01:37:55.1855975Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.1856041Z { 2022-11-23T01:37:55.1856174Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1856284Z 'code': None, 2022-11-23T01:37:55.1856503Z 'obj_weakref': 2022-11-23T01:37:55.1856764Z 'guarded_class': 2022-11-23T01:37:55.1856829Z } 2022-11-23T01:37:55.1856894Z 2022-11-23T01:37:55.1856968Z - 2022-11-23T01:37:55.1857081Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.1857147Z { 2022-11-23T01:37:55.1857297Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1857408Z 'code': None, 2022-11-23T01:37:55.1857625Z 'obj_weakref': 2022-11-23T01:37:55.1857882Z 'guarded_class': 2022-11-23T01:37:55.1857949Z } 2022-11-23T01:37:55.1857999Z 2022-11-23T01:37:55.1858070Z - 2022-11-23T01:37:55.1858198Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:37:55.1858264Z { 2022-11-23T01:37:55.1858412Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1858523Z 'code': None, 2022-11-23T01:37:55.1858868Z 'obj_weakref': 2022-11-23T01:37:55.1859201Z 'guarded_class': 2022-11-23T01:37:55.1859272Z } 2022-11-23T01:37:55.1859336Z 2022-11-23T01:37:55.1859412Z - 2022-11-23T01:37:55.1859541Z local 'ex[3]' TENSOR_MATCH 2022-11-23T01:37:55.1859606Z { 2022-11-23T01:37:55.1859752Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1859848Z 'code': None, 2022-11-23T01:37:55.1860060Z 'obj_weakref': 2022-11-23T01:37:55.1860316Z 'guarded_class': 2022-11-23T01:37:55.1860385Z } 2022-11-23T01:37:55.1860447Z 2022-11-23T01:37:55.1860518Z - 2022-11-23T01:37:55.1860643Z local 'ex[4]' TENSOR_MATCH 2022-11-23T01:37:55.1860693Z { 2022-11-23T01:37:55.1860838Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1860949Z 'code': None, 2022-11-23T01:37:55.1861223Z 'obj_weakref': 2022-11-23T01:37:55.1861485Z 'guarded_class': 2022-11-23T01:37:55.1861549Z } 2022-11-23T01:37:55.1861611Z 2022-11-23T01:37:55.1861667Z - 2022-11-23T01:37:55.1861794Z local 'ex[5]' TENSOR_MATCH 2022-11-23T01:37:55.1861857Z { 2022-11-23T01:37:55.1862003Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1862112Z 'code': None, 2022-11-23T01:37:55.1862324Z 'obj_weakref': 2022-11-23T01:37:55.1862622Z 'guarded_class': 2022-11-23T01:37:55.1862675Z } 2022-11-23T01:37:55.1862740Z 2022-11-23T01:37:55.1862813Z - 2022-11-23T01:37:55.1862938Z local 'ex[6]' TENSOR_MATCH 2022-11-23T01:37:55.1863007Z { 2022-11-23T01:37:55.1863152Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1863260Z 'code': None, 2022-11-23T01:37:55.1863457Z 'obj_weakref': 2022-11-23T01:37:55.1863706Z 'guarded_class': 2022-11-23T01:37:55.1863770Z } 2022-11-23T01:37:55.1863832Z 2022-11-23T01:37:55.1863901Z - 2022-11-23T01:37:55.1864025Z local 'ex[7]' TENSOR_MATCH 2022-11-23T01:37:55.1864089Z { 2022-11-23T01:37:55.1864219Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1864327Z 'code': None, 2022-11-23T01:37:55.1864536Z 'obj_weakref': 2022-11-23T01:37:55.1864789Z 'guarded_class': 2022-11-23T01:37:55.1864852Z } 2022-11-23T01:37:55.1864916Z 2022-11-23T01:37:55.1864985Z - 2022-11-23T01:37:55.1865097Z local 'ex[8]' TENSOR_MATCH 2022-11-23T01:37:55.1865159Z { 2022-11-23T01:37:55.1865302Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1865411Z 'code': None, 2022-11-23T01:37:55.1865623Z 'obj_weakref': 2022-11-23T01:37:55.1865875Z 'guarded_class': 2022-11-23T01:37:55.1865943Z } 2022-11-23T01:37:55.1865991Z 2022-11-23T01:37:55.1866060Z - 2022-11-23T01:37:55.1866184Z local 'ex[9]' TENSOR_MATCH 2022-11-23T01:37:55.1866247Z { 2022-11-23T01:37:55.1866389Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1866502Z 'code': None, 2022-11-23T01:37:55.1866716Z 'obj_weakref': 2022-11-23T01:37:55.1866954Z 'guarded_class': 2022-11-23T01:37:55.1867018Z } 2022-11-23T01:37:55.1867079Z 2022-11-23T01:37:55.1867150Z - 2022-11-23T01:37:55.1867282Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.1867343Z { 2022-11-23T01:37:55.1867480Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.1867639Z 'code': ['___check_obj_id(model, 140538743613488)'], 2022-11-23T01:37:55.1867765Z 'obj_weakref': None 2022-11-23T01:37:55.1867998Z 'guarded_class': 2022-11-23T01:37:55.1868062Z } 2022-11-23T01:37:55.1868195Z 2022-11-23T01:37:55.1868275Z - 2022-11-23T01:37:55.1868444Z local 'ex[10]' TENSOR_MATCH 2022-11-23T01:37:55.1868497Z { 2022-11-23T01:37:55.1868643Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1868754Z 'code': None, 2022-11-23T01:37:55.1868966Z 'obj_weakref': 2022-11-23T01:37:55.1869220Z 'guarded_class': 2022-11-23T01:37:55.1869284Z } 2022-11-23T01:37:55.1869349Z 2022-11-23T01:37:55.1869407Z - 2022-11-23T01:37:55.1869567Z local 'ex[11]' TENSOR_MATCH 2022-11-23T01:37:55.1869629Z { 2022-11-23T01:37:55.1869772Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1869881Z 'code': None, 2022-11-23T01:37:55.1870093Z 'obj_weakref': 2022-11-23T01:37:55.1870349Z 'guarded_class': 2022-11-23T01:37:55.1870400Z } 2022-11-23T01:37:55.1870462Z 2022-11-23T01:37:55.1870534Z - 2022-11-23T01:37:55.1870663Z local 'ex[12]' TENSOR_MATCH 2022-11-23T01:37:55.1870728Z { 2022-11-23T01:37:55.1870871Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1870979Z 'code': None, 2022-11-23T01:37:55.1871176Z 'obj_weakref': 2022-11-23T01:37:55.1871429Z 'guarded_class': 2022-11-23T01:37:55.1871496Z } 2022-11-23T01:37:55.1871557Z 2022-11-23T01:37:55.1871627Z - 2022-11-23T01:37:55.1871752Z local 'ex[13]' TENSOR_MATCH 2022-11-23T01:37:55.1871815Z { 2022-11-23T01:37:55.1871948Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1872058Z 'code': None, 2022-11-23T01:37:55.1872271Z 'obj_weakref': 2022-11-23T01:37:55.1872526Z 'guarded_class': 2022-11-23T01:37:55.1872589Z } 2022-11-23T01:37:55.1872652Z 2022-11-23T01:37:55.1872725Z - 2022-11-23T01:37:55.1872839Z local 'ex[14]' TENSOR_MATCH 2022-11-23T01:37:55.1872906Z { 2022-11-23T01:37:55.1873050Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1873161Z 'code': None, 2022-11-23T01:37:55.1873373Z 'obj_weakref': 2022-11-23T01:37:55.1873626Z 'guarded_class': 2022-11-23T01:37:55.1873689Z } 2022-11-23T01:37:55.1873743Z 2022-11-23T01:37:55.1873813Z - 2022-11-23T01:37:55.1873938Z local 'ex[15]' TENSOR_MATCH 2022-11-23T01:37:55.1874001Z { 2022-11-23T01:37:55.1874147Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1874256Z 'code': None, 2022-11-23T01:37:55.1874464Z 'obj_weakref': 2022-11-23T01:37:55.1874704Z 'guarded_class': 2022-11-23T01:37:55.1874769Z } 2022-11-23T01:37:55.1874834Z 2022-11-23T01:37:55.1874904Z - 2022-11-23T01:37:55.1875030Z local 'ex[16]' TENSOR_MATCH 2022-11-23T01:37:55.1875094Z { 2022-11-23T01:37:55.1875237Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1875333Z 'code': None, 2022-11-23T01:37:55.1875573Z 'obj_weakref': 2022-11-23T01:37:55.1875826Z 'guarded_class': 2022-11-23T01:37:55.1875891Z } 2022-11-23T01:37:55.1875952Z 2022-11-23T01:37:55.1876022Z - 2022-11-23T01:37:55.1876148Z local 'ex[17]' TENSOR_MATCH 2022-11-23T01:37:55.1876199Z { 2022-11-23T01:37:55.1876346Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1876455Z 'code': None, 2022-11-23T01:37:55.1876666Z 'obj_weakref': 2022-11-23T01:37:55.1876950Z 'guarded_class': 2022-11-23T01:37:55.1877015Z } 2022-11-23T01:37:55.1877075Z 2022-11-23T01:37:55.1877133Z - 2022-11-23T01:37:55.1877260Z local 'ex[18]' TENSOR_MATCH 2022-11-23T01:37:55.1877323Z { 2022-11-23T01:37:55.1877470Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1877580Z 'code': None, 2022-11-23T01:37:55.1877791Z 'obj_weakref': 2022-11-23T01:37:55.1878040Z 'guarded_class': 2022-11-23T01:37:55.1878105Z } 2022-11-23T01:37:55.1878157Z 2022-11-23T01:37:55.1878226Z - 2022-11-23T01:37:55.1878351Z local 'ex[19]' TENSOR_MATCH 2022-11-23T01:37:55.1878411Z { 2022-11-23T01:37:55.1878557Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1878669Z 'code': None, 2022-11-23T01:37:55.1878870Z 'obj_weakref': 2022-11-23T01:37:55.1879125Z 'guarded_class': 2022-11-23T01:37:55.1879188Z } 2022-11-23T01:37:55.1879256Z 2022-11-23T01:37:55.1879327Z - 2022-11-23T01:37:55.1879453Z local 'ex[20]' TENSOR_MATCH 2022-11-23T01:37:55.1879515Z { 2022-11-23T01:37:55.1879645Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1879757Z 'code': None, 2022-11-23T01:37:55.1879969Z 'obj_weakref': 2022-11-23T01:37:55.1880220Z 'guarded_class': 2022-11-23T01:37:55.1880287Z } 2022-11-23T01:37:55.1880351Z 2022-11-23T01:37:55.1880420Z - 2022-11-23T01:37:55.1880545Z local 'ex[21]' TENSOR_MATCH 2022-11-23T01:37:55.1880596Z { 2022-11-23T01:37:55.1880738Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1880844Z 'code': None, 2022-11-23T01:37:55.1881057Z 'obj_weakref': 2022-11-23T01:37:55.1881307Z 'guarded_class': 2022-11-23T01:37:55.1881370Z } 2022-11-23T01:37:55.1881434Z 2022-11-23T01:37:55.1881493Z - 2022-11-23T01:37:55.1881618Z local 'ex[22]' TENSOR_MATCH 2022-11-23T01:37:55.1881681Z { 2022-11-23T01:37:55.1881825Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1881933Z 'code': None, 2022-11-23T01:37:55.1882145Z 'obj_weakref': 2022-11-23T01:37:55.1882395Z 'guarded_class': 2022-11-23T01:37:55.1882445Z } 2022-11-23T01:37:55.1882505Z 2022-11-23T01:37:55.1882576Z - 2022-11-23T01:37:55.1882739Z local 'ex[23]' TENSOR_MATCH 2022-11-23T01:37:55.1882802Z { 2022-11-23T01:37:55.1882951Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1883059Z 'code': None, 2022-11-23T01:37:55.1883258Z 'obj_weakref': 2022-11-23T01:37:55.1883506Z 'guarded_class': 2022-11-23T01:37:55.1883568Z } 2022-11-23T01:37:55.1883630Z 2022-11-23T01:37:55.1883700Z - 2022-11-23T01:37:55.1883862Z local 'ex[24]' TENSOR_MATCH 2022-11-23T01:37:55.1883926Z { 2022-11-23T01:37:55.1884057Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1884167Z 'code': None, 2022-11-23T01:37:55.1884378Z 'obj_weakref': 2022-11-23T01:37:55.1884632Z 'guarded_class': 2022-11-23T01:37:55.1884694Z } 2022-11-23T01:37:55.1884757Z 2022-11-23T01:37:55.1884828Z - 2022-11-23T01:37:55.1884941Z local 'ex[25]' TENSOR_MATCH 2022-11-23T01:37:55.1885005Z { 2022-11-23T01:37:55.1885150Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1885258Z 'code': None, 2022-11-23T01:37:55.1885469Z 'obj_weakref': 2022-11-23T01:37:55.1885721Z 'guarded_class': 2022-11-23T01:37:55.1885790Z } 2022-11-23T01:37:55.1885840Z 2022-11-23T01:37:55.1885909Z - 2022-11-23T01:37:55.1886035Z local 'ex[26]' TENSOR_MATCH 2022-11-23T01:37:55.1886098Z { 2022-11-23T01:37:55.1886241Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1886352Z 'code': None, 2022-11-23T01:37:55.1886565Z 'obj_weakref': 2022-11-23T01:37:55.1886803Z 'guarded_class': 2022-11-23T01:37:55.1886866Z } 2022-11-23T01:37:55.1886928Z 2022-11-23T01:37:55.1886999Z - 2022-11-23T01:37:55.1887124Z local 'ex[27]' TENSOR_MATCH 2022-11-23T01:37:55.1887186Z { 2022-11-23T01:37:55.1887329Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1887428Z 'code': None, 2022-11-23T01:37:55.1887638Z 'obj_weakref': 2022-11-23T01:37:55.1887888Z 'guarded_class': 2022-11-23T01:37:55.1887952Z } 2022-11-23T01:37:55.1888016Z 2022-11-23T01:37:55.1888086Z - 2022-11-23T01:37:55.1888211Z local 'ex[28]' TENSOR_MATCH 2022-11-23T01:37:55.1888262Z { 2022-11-23T01:37:55.1888403Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1888512Z 'code': None, 2022-11-23T01:37:55.1888722Z 'obj_weakref': 2022-11-23T01:37:55.1888974Z 'guarded_class': 2022-11-23T01:37:55.1889037Z } 2022-11-23T01:37:55.1889105Z 2022-11-23T01:37:55.1889165Z - 2022-11-23T01:37:55.1889289Z local 'ex[29]' TENSOR_MATCH 2022-11-23T01:37:55.1889354Z { 2022-11-23T01:37:55.1889498Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1889607Z 'code': None, 2022-11-23T01:37:55.1889854Z 'obj_weakref': 2022-11-23T01:37:55.1890107Z 'guarded_class': 2022-11-23T01:37:55.1890157Z } 2022-11-23T01:37:55.1890220Z 2022-11-23T01:37:55.1890290Z - 2022-11-23T01:37:55.1890417Z local 'ex[30]' TENSOR_MATCH 2022-11-23T01:37:55.1890483Z { 2022-11-23T01:37:55.1890628Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1890740Z 'code': None, 2022-11-23T01:37:55.1890937Z 'obj_weakref': 2022-11-23T01:37:55.1891239Z 'guarded_class': 2022-11-23T01:37:55.1891305Z } 2022-11-23T01:37:55.1891370Z 2022-11-23T01:37:55.1891443Z - 2022-11-23T01:37:55.1891573Z local 'ex[31]' TENSOR_MATCH 2022-11-23T01:37:55.1891642Z { 2022-11-23T01:37:55.1891776Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1891886Z 'code': None, 2022-11-23T01:37:55.1892098Z 'obj_weakref': 2022-11-23T01:37:55.1892352Z 'guarded_class': 2022-11-23T01:37:55.1892417Z } 2022-11-23T01:37:55.1892482Z 2022-11-23T01:37:55.1892554Z - 2022-11-23T01:37:55.1892666Z local 'ex[32]' TENSOR_MATCH 2022-11-23T01:37:55.1892732Z { 2022-11-23T01:37:55.1892881Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1892992Z 'code': None, 2022-11-23T01:37:55.1893205Z 'obj_weakref': 2022-11-23T01:37:55.1893460Z 'guarded_class': 2022-11-23T01:37:55.1893526Z } 2022-11-23T01:37:55.1893577Z 2022-11-23T01:37:55.1893648Z - 2022-11-23T01:37:55.1893778Z local 'ex[33]' TENSOR_MATCH 2022-11-23T01:37:55.1893843Z { 2022-11-23T01:37:55.1893989Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1894099Z 'code': None, 2022-11-23T01:37:55.1894312Z 'obj_weakref': 2022-11-23T01:37:55.1894551Z 'guarded_class': 2022-11-23T01:37:55.1894619Z } 2022-11-23T01:37:55.1894683Z 2022-11-23T01:37:55.1894756Z - 2022-11-23T01:37:55.1894883Z local 'ex[34]' TENSOR_MATCH 2022-11-23T01:37:55.1894948Z { 2022-11-23T01:37:55.1895094Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1895191Z 'code': None, 2022-11-23T01:37:55.1895404Z 'obj_weakref': 2022-11-23T01:37:55.1895657Z 'guarded_class': 2022-11-23T01:37:55.1895723Z } 2022-11-23T01:37:55.1895789Z 2022-11-23T01:37:55.1895864Z - 2022-11-23T01:37:55.1895992Z local 'ex[35]' TENSOR_MATCH 2022-11-23T01:37:55.1896044Z { 2022-11-23T01:37:55.1896188Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1896299Z 'code': None, 2022-11-23T01:37:55.1896515Z 'obj_weakref': 2022-11-23T01:37:55.1896768Z 'guarded_class': 2022-11-23T01:37:55.1896833Z } 2022-11-23T01:37:55.1896897Z 2022-11-23T01:37:55.1896955Z - 2022-11-23T01:37:55.1897115Z local 'ex[36]' TENSOR_MATCH 2022-11-23T01:37:55.1897177Z { 2022-11-23T01:37:55.1897322Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1897433Z 'code': None, 2022-11-23T01:37:55.1897649Z 'obj_weakref': 2022-11-23T01:37:55.1897902Z 'guarded_class': 2022-11-23T01:37:55.1897966Z } 2022-11-23T01:37:55.1898016Z 2022-11-23T01:37:55.1898085Z - 2022-11-23T01:37:55.1898246Z local 'ex[37]' TENSOR_MATCH 2022-11-23T01:37:55.1898311Z { 2022-11-23T01:37:55.1898455Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1898565Z 'code': None, 2022-11-23T01:37:55.1898908Z 'obj_weakref': 2022-11-23T01:37:55.1899230Z 'guarded_class': 2022-11-23T01:37:55.1899296Z } 2022-11-23T01:37:55.1899358Z 2022-11-23T01:37:55.1899431Z - 2022-11-23T01:37:55.1899557Z local 'ex[38]' TENSOR_MATCH 2022-11-23T01:37:55.1899619Z { 2022-11-23T01:37:55.1899749Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1899858Z 'code': None, 2022-11-23T01:37:55.1900072Z 'obj_weakref': 2022-11-23T01:37:55.1900322Z 'guarded_class': 2022-11-23T01:37:55.1900389Z } 2022-11-23T01:37:55.1900451Z 2022-11-23T01:37:55.1900521Z - 2022-11-23T01:37:55.1900633Z local 'ex[39]' TENSOR_MATCH 2022-11-23T01:37:55.1900699Z { 2022-11-23T01:37:55.1900840Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1900953Z 'code': None, 2022-11-23T01:37:55.1901163Z 'obj_weakref': 2022-11-23T01:37:55.1901414Z 'guarded_class': 2022-11-23T01:37:55.1901474Z } 2022-11-23T01:37:55.1901537Z 2022-11-23T01:37:55.1901594Z - 2022-11-23T01:37:55.1901718Z local 'ex[40]' TENSOR_MATCH 2022-11-23T01:37:55.1901780Z { 2022-11-23T01:37:55.1901928Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1902041Z 'code': None, 2022-11-23T01:37:55.1902251Z 'obj_weakref': 2022-11-23T01:37:55.1902504Z 'guarded_class': 2022-11-23T01:37:55.1902556Z } 2022-11-23T01:37:55.1902618Z 2022-11-23T01:37:55.1902688Z - 2022-11-23T01:37:55.1902811Z local 'ex[41]' TENSOR_MATCH 2022-11-23T01:37:55.1902872Z { 2022-11-23T01:37:55.1903013Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1903109Z 'code': None, 2022-11-23T01:37:55.1903318Z 'obj_weakref': 2022-11-23T01:37:55.1903567Z 'guarded_class': 2022-11-23T01:37:55.1903630Z } 2022-11-23T01:37:55.1903692Z 2022-11-23T01:37:55.1903763Z - 2022-11-23T01:37:55.1903891Z local 'ex[42]' TENSOR_MATCH 2022-11-23T01:37:55.1903941Z { 2022-11-23T01:37:55.1904086Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1904192Z 'code': None, 2022-11-23T01:37:55.1904467Z 'obj_weakref': 2022-11-23T01:37:55.1904720Z 'guarded_class': 2022-11-23T01:37:55.1904783Z } 2022-11-23T01:37:55.1904845Z 2022-11-23T01:37:55.1904915Z - 2022-11-23T01:37:55.1905025Z local 'ex[43]' TENSOR_MATCH 2022-11-23T01:37:55.1905088Z { 2022-11-23T01:37:55.1905231Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1905339Z 'code': None, 2022-11-23T01:37:55.1905548Z 'obj_weakref': 2022-11-23T01:37:55.1905843Z 'guarded_class': 2022-11-23T01:37:55.1905909Z } 2022-11-23T01:37:55.1905958Z 2022-11-23T01:37:55.1906032Z - 2022-11-23T01:37:55.1906158Z local 'ex[44]' TENSOR_MATCH 2022-11-23T01:37:55.1906225Z { 2022-11-23T01:37:55.1906372Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1906480Z 'code': None, 2022-11-23T01:37:55.1906692Z 'obj_weakref': 2022-11-23T01:37:55.1906926Z 'guarded_class': 2022-11-23T01:37:55.1906991Z } 2022-11-23T01:37:55.1907051Z 2022-11-23T01:37:55.1907120Z - 2022-11-23T01:37:55.1907245Z local 'ex[45]' TENSOR_MATCH 2022-11-23T01:37:55.1907306Z { 2022-11-23T01:37:55.1907451Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1907547Z 'code': None, 2022-11-23T01:37:55.1907756Z 'obj_weakref': 2022-11-23T01:37:55.1908005Z 'guarded_class': 2022-11-23T01:37:55.1908071Z } 2022-11-23T01:37:55.1908215Z 2022-11-23T01:37:55.1908292Z - 2022-11-23T01:37:55.1908421Z local 'ex[46]' TENSOR_MATCH 2022-11-23T01:37:55.1908471Z { 2022-11-23T01:37:55.1908615Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1908723Z 'code': None, 2022-11-23T01:37:55.1908934Z 'obj_weakref': 2022-11-23T01:37:55.1909182Z 'guarded_class': 2022-11-23T01:37:55.1909249Z } 2022-11-23T01:37:55.1909310Z 2022-11-23T01:37:55.1909366Z - 2022-11-23T01:37:55.1909491Z local 'ex[47]' TENSOR_MATCH 2022-11-23T01:37:55.1909553Z { 2022-11-23T01:37:55.1909697Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1909805Z 'code': None, 2022-11-23T01:37:55.1910015Z 'obj_weakref': 2022-11-23T01:37:55.1910266Z 'guarded_class': 2022-11-23T01:37:55.1910318Z } 2022-11-23T01:37:55.1910384Z 2022-11-23T01:37:55.1910456Z - 2022-11-23T01:37:55.1910582Z local 'ex[48]' TENSOR_MATCH 2022-11-23T01:37:55.1910645Z { 2022-11-23T01:37:55.1910787Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1910897Z 'code': None, 2022-11-23T01:37:55.1911096Z 'obj_weakref': 2022-11-23T01:37:55.1911343Z 'guarded_class': 2022-11-23T01:37:55.1911405Z } 2022-11-23T01:37:55.1911467Z 2022-11-23T01:37:55.1911537Z - 2022-11-23T01:37:55.1911741Z local 'ex[49]' TENSOR_MATCH 2022-11-23T01:37:55.1911806Z { 2022-11-23T01:37:55.1911939Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1912046Z 'code': None, 2022-11-23T01:37:55.1912255Z 'obj_weakref': 2022-11-23T01:37:55.1912504Z 'guarded_class': 2022-11-23T01:37:55.1912567Z } 2022-11-23T01:37:55.1912630Z 2022-11-23T01:37:55.1912701Z - 2022-11-23T01:37:55.1912846Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.1912910Z { 2022-11-23T01:37:55.1913049Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.1913272Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.1913397Z 'obj_weakref': None 2022-11-23T01:37:55.1913621Z 'guarded_class': 2022-11-23T01:37:55.1913686Z } 2022-11-23T01:37:55.1913736Z 2022-11-23T01:37:55.1913806Z - 2022-11-23T01:37:55.1913991Z local 'model.__closure__[0].cell_contents' CONSTANT_MATCH 2022-11-23T01:37:55.1914054Z { 2022-11-23T01:37:55.1914196Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.1914477Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93851402553120)', 'model.__closure__[0].cell_contents == 50'], 2022-11-23T01:37:55.1914600Z 'obj_weakref': None 2022-11-23T01:37:55.1914814Z 'guarded_class': 2022-11-23T01:37:55.1914879Z } 2022-11-23T01:37:55.1914940Z 2022-11-23T01:37:55.1915011Z - 2022-11-23T01:37:55.1915143Z global 'range' BUILTIN_MATCH 2022-11-23T01:37:55.1915206Z { 2022-11-23T01:37:55.1915328Z 'guard_types': None, 2022-11-23T01:37:55.1915424Z 'code': None, 2022-11-23T01:37:55.1915541Z 'obj_weakref': None 2022-11-23T01:37:55.1915665Z 'guarded_class': None 2022-11-23T01:37:55.1915728Z } 2022-11-23T01:37:55.1915789Z 2022-11-23T01:37:55.1915859Z - 2022-11-23T01:37:55.1915992Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.1916042Z { 2022-11-23T01:37:55.1916162Z 'guard_types': None, 2022-11-23T01:37:55.1916268Z 'code': None, 2022-11-23T01:37:55.1916390Z 'obj_weakref': None 2022-11-23T01:37:55.1916512Z 'guarded_class': None 2022-11-23T01:37:55.1916573Z } 2022-11-23T01:37:55.1916621Z 2022-11-23T01:37:55.1916889Z [2022-11-23 01:33:56,569] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 320 2022-11-23T01:37:55.1916898Z 2022-11-23T01:37:55.1916993Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.1917060Z import torch 2022-11-23T01:37:55.1917128Z import random 2022-11-23T01:37:55.1917241Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.1917364Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.1917369Z 2022-11-23T01:37:55.1917445Z aten = torch.ops.aten 2022-11-23T01:37:55.1917566Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.1917656Z async_compile = AsyncCompile() 2022-11-23T01:37:55.1917661Z 2022-11-23T01:37:55.1917666Z 2022-11-23T01:37:55.1917800Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.1918007Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.1918122Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:37:55.1918225Z const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.1918326Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.1918458Z const float* __restrict__ in_ptr2, 2022-11-23T01:37:55.1918547Z const float* __restrict__ in_ptr3, 2022-11-23T01:37:55.1918645Z const float* __restrict__ in_ptr4, 2022-11-23T01:37:55.1918745Z const float* __restrict__ in_ptr5, 2022-11-23T01:37:55.1918844Z const float* __restrict__ in_ptr6, 2022-11-23T01:37:55.1918943Z const float* __restrict__ in_ptr7, 2022-11-23T01:37:55.1919041Z const float* __restrict__ in_ptr8, 2022-11-23T01:37:55.1919167Z const float* __restrict__ in_ptr9, 2022-11-23T01:37:55.1919271Z const float* __restrict__ in_ptr10, 2022-11-23T01:37:55.1919363Z const float* __restrict__ in_ptr11, 2022-11-23T01:37:55.1919463Z const float* __restrict__ in_ptr12, 2022-11-23T01:37:55.1919566Z const float* __restrict__ in_ptr13, 2022-11-23T01:37:55.1919665Z const float* __restrict__ in_ptr14, 2022-11-23T01:37:55.1919763Z const float* __restrict__ in_ptr15, 2022-11-23T01:37:55.1919862Z const float* __restrict__ in_ptr16, 2022-11-23T01:37:55.1919961Z const float* __restrict__ in_ptr17, 2022-11-23T01:37:55.1920048Z const float* __restrict__ in_ptr18, 2022-11-23T01:37:55.1920145Z const float* __restrict__ in_ptr19, 2022-11-23T01:37:55.1920243Z const float* __restrict__ in_ptr20, 2022-11-23T01:37:55.1920346Z const float* __restrict__ in_ptr21, 2022-11-23T01:37:55.1920444Z const float* __restrict__ in_ptr22, 2022-11-23T01:37:55.1920543Z const float* __restrict__ in_ptr23, 2022-11-23T01:37:55.1920641Z const float* __restrict__ in_ptr24, 2022-11-23T01:37:55.1920741Z const float* __restrict__ in_ptr25, 2022-11-23T01:37:55.1920828Z const float* __restrict__ in_ptr26, 2022-11-23T01:37:55.1920925Z const float* __restrict__ in_ptr27, 2022-11-23T01:37:55.1921022Z const float* __restrict__ in_ptr28, 2022-11-23T01:37:55.1921119Z const float* __restrict__ in_ptr29, 2022-11-23T01:37:55.1921216Z const float* __restrict__ in_ptr30, 2022-11-23T01:37:55.1921313Z const float* __restrict__ in_ptr31, 2022-11-23T01:37:55.1921412Z const float* __restrict__ in_ptr32, 2022-11-23T01:37:55.1921500Z const float* __restrict__ in_ptr33, 2022-11-23T01:37:55.1921597Z const float* __restrict__ in_ptr34, 2022-11-23T01:37:55.1921694Z const float* __restrict__ in_ptr35, 2022-11-23T01:37:55.1921793Z const float* __restrict__ in_ptr36, 2022-11-23T01:37:55.1921891Z const float* __restrict__ in_ptr37, 2022-11-23T01:37:55.1921989Z const float* __restrict__ in_ptr38, 2022-11-23T01:37:55.1922086Z const float* __restrict__ in_ptr39, 2022-11-23T01:37:55.1922185Z const float* __restrict__ in_ptr40, 2022-11-23T01:37:55.1922271Z const float* __restrict__ in_ptr41, 2022-11-23T01:37:55.1922367Z const float* __restrict__ in_ptr42, 2022-11-23T01:37:55.1922465Z const float* __restrict__ in_ptr43, 2022-11-23T01:37:55.1922566Z const float* __restrict__ in_ptr44, 2022-11-23T01:37:55.1922664Z const float* __restrict__ in_ptr45, 2022-11-23T01:37:55.1922762Z const float* __restrict__ in_ptr46, 2022-11-23T01:37:55.1922860Z const float* __restrict__ in_ptr47, 2022-11-23T01:37:55.1922974Z const float* __restrict__ in_ptr48, 2022-11-23T01:37:55.1923075Z const float* __restrict__ in_ptr49) 2022-11-23T01:37:55.1923135Z { 2022-11-23T01:37:55.1923223Z auto out_ptr0 = in_out_ptr0; 2022-11-23T01:37:55.1923302Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.1923362Z { 2022-11-23T01:37:55.1923519Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.1923638Z auto tmp2 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.1923764Z auto tmp4 = at::vec::Vectorized::loadu(in_ptr2 + 8*i0); 2022-11-23T01:37:55.1923922Z auto tmp6 = at::vec::Vectorized::loadu(in_ptr3 + 8*i0); 2022-11-23T01:37:55.1924045Z auto tmp8 = at::vec::Vectorized::loadu(in_ptr4 + 8*i0); 2022-11-23T01:37:55.1924175Z auto tmp10 = at::vec::Vectorized::loadu(in_ptr5 + 8*i0); 2022-11-23T01:37:55.1924302Z auto tmp12 = at::vec::Vectorized::loadu(in_ptr6 + 8*i0); 2022-11-23T01:37:55.1924432Z auto tmp14 = at::vec::Vectorized::loadu(in_ptr7 + 8*i0); 2022-11-23T01:37:55.1924560Z auto tmp16 = at::vec::Vectorized::loadu(in_ptr8 + 8*i0); 2022-11-23T01:37:55.1924645Z auto tmp1 = tmp0 + tmp0; 2022-11-23T01:37:55.1924715Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:37:55.1924794Z auto tmp5 = tmp3 + tmp4; 2022-11-23T01:37:55.1924872Z auto tmp7 = tmp5 + tmp6; 2022-11-23T01:37:55.1924950Z auto tmp9 = tmp7 + tmp8; 2022-11-23T01:37:55.1925032Z auto tmp11 = tmp9 + tmp10; 2022-11-23T01:37:55.1925115Z auto tmp13 = tmp11 + tmp12; 2022-11-23T01:37:55.1925198Z auto tmp15 = tmp13 + tmp14; 2022-11-23T01:37:55.1925265Z auto tmp17 = tmp15 + tmp16; 2022-11-23T01:37:55.1925355Z tmp17.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.1925419Z } 2022-11-23T01:37:55.1925512Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.1925595Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:37:55.1925657Z { 2022-11-23T01:37:55.1925739Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.1925806Z auto tmp2 = in_ptr1[i0]; 2022-11-23T01:37:55.1925885Z auto tmp4 = in_ptr2[i0]; 2022-11-23T01:37:55.1925967Z auto tmp6 = in_ptr3[i0]; 2022-11-23T01:37:55.1926049Z auto tmp8 = in_ptr4[i0]; 2022-11-23T01:37:55.1926132Z auto tmp10 = in_ptr5[i0]; 2022-11-23T01:37:55.1926215Z auto tmp12 = in_ptr6[i0]; 2022-11-23T01:37:55.1926295Z auto tmp14 = in_ptr7[i0]; 2022-11-23T01:37:55.1926363Z auto tmp16 = in_ptr8[i0]; 2022-11-23T01:37:55.1926443Z auto tmp1 = tmp0 + tmp0; 2022-11-23T01:37:55.1926526Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:37:55.1926606Z auto tmp5 = tmp3 + tmp4; 2022-11-23T01:37:55.1926688Z auto tmp7 = tmp5 + tmp6; 2022-11-23T01:37:55.1926769Z auto tmp9 = tmp7 + tmp8; 2022-11-23T01:37:55.1926839Z auto tmp11 = tmp9 + tmp10; 2022-11-23T01:37:55.1926923Z auto tmp13 = tmp11 + tmp12; 2022-11-23T01:37:55.1927008Z auto tmp15 = tmp13 + tmp14; 2022-11-23T01:37:55.1927090Z auto tmp17 = tmp15 + tmp16; 2022-11-23T01:37:55.1927169Z out_ptr0[i0] = tmp17; 2022-11-23T01:37:55.1927231Z } 2022-11-23T01:37:55.1927311Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.1927359Z { 2022-11-23T01:37:55.1927490Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr0 + 8*i0); 2022-11-23T01:37:55.1927619Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr9 + 8*i0); 2022-11-23T01:37:55.1927749Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr10 + 8*i0); 2022-11-23T01:37:55.1927878Z auto tmp5 = at::vec::Vectorized::loadu(in_ptr11 + 8*i0); 2022-11-23T01:37:55.1928005Z auto tmp7 = at::vec::Vectorized::loadu(in_ptr12 + 8*i0); 2022-11-23T01:37:55.1928133Z auto tmp9 = at::vec::Vectorized::loadu(in_ptr13 + 8*i0); 2022-11-23T01:37:55.1928265Z auto tmp11 = at::vec::Vectorized::loadu(in_ptr14 + 8*i0); 2022-11-23T01:37:55.1928424Z auto tmp13 = at::vec::Vectorized::loadu(in_ptr15 + 8*i0); 2022-11-23T01:37:55.1928543Z auto tmp15 = at::vec::Vectorized::loadu(in_ptr16 + 8*i0); 2022-11-23T01:37:55.1928626Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.1928711Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.1928793Z auto tmp6 = tmp4 + tmp5; 2022-11-23T01:37:55.1928874Z auto tmp8 = tmp6 + tmp7; 2022-11-23T01:37:55.1928958Z auto tmp10 = tmp8 + tmp9; 2022-11-23T01:37:55.1929043Z auto tmp12 = tmp10 + tmp11; 2022-11-23T01:37:55.1929111Z auto tmp14 = tmp12 + tmp13; 2022-11-23T01:37:55.1929222Z auto tmp16 = tmp14 + tmp15; 2022-11-23T01:37:55.1929319Z tmp16.store(in_out_ptr0 + 8*i0); 2022-11-23T01:37:55.1929382Z } 2022-11-23T01:37:55.1929471Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.1929552Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:37:55.1929614Z { 2022-11-23T01:37:55.1929682Z auto tmp0 = out_ptr0[i0]; 2022-11-23T01:37:55.1929765Z auto tmp1 = in_ptr9[i0]; 2022-11-23T01:37:55.1929847Z auto tmp3 = in_ptr10[i0]; 2022-11-23T01:37:55.1929928Z auto tmp5 = in_ptr11[i0]; 2022-11-23T01:37:55.1930010Z auto tmp7 = in_ptr12[i0]; 2022-11-23T01:37:55.1930091Z auto tmp9 = in_ptr13[i0]; 2022-11-23T01:37:55.1930173Z auto tmp11 = in_ptr14[i0]; 2022-11-23T01:37:55.1930242Z auto tmp13 = in_ptr15[i0]; 2022-11-23T01:37:55.1930321Z auto tmp15 = in_ptr16[i0]; 2022-11-23T01:37:55.1930399Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.1930477Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.1930559Z auto tmp6 = tmp4 + tmp5; 2022-11-23T01:37:55.1930639Z auto tmp8 = tmp6 + tmp7; 2022-11-23T01:37:55.1930707Z auto tmp10 = tmp8 + tmp9; 2022-11-23T01:37:55.1930788Z auto tmp12 = tmp10 + tmp11; 2022-11-23T01:37:55.1930867Z auto tmp14 = tmp12 + tmp13; 2022-11-23T01:37:55.1930946Z auto tmp16 = tmp14 + tmp15; 2022-11-23T01:37:55.1931025Z in_out_ptr0[i0] = tmp16; 2022-11-23T01:37:55.1931084Z } 2022-11-23T01:37:55.1931161Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.1931208Z { 2022-11-23T01:37:55.1931342Z auto tmp0 = at::vec::Vectorized::loadu(in_out_ptr0 + 8*i0); 2022-11-23T01:37:55.1931471Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr17 + 8*i0); 2022-11-23T01:37:55.1931596Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr18 + 8*i0); 2022-11-23T01:37:55.1931722Z auto tmp5 = at::vec::Vectorized::loadu(in_ptr19 + 8*i0); 2022-11-23T01:37:55.1931847Z auto tmp7 = at::vec::Vectorized::loadu(in_ptr20 + 8*i0); 2022-11-23T01:37:55.1931972Z auto tmp9 = at::vec::Vectorized::loadu(in_ptr21 + 8*i0); 2022-11-23T01:37:55.1932100Z auto tmp11 = at::vec::Vectorized::loadu(in_ptr22 + 8*i0); 2022-11-23T01:37:55.1932230Z auto tmp13 = at::vec::Vectorized::loadu(in_ptr23 + 8*i0); 2022-11-23T01:37:55.1932347Z auto tmp15 = at::vec::Vectorized::loadu(in_ptr24 + 8*i0); 2022-11-23T01:37:55.1932430Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.1932509Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.1932587Z auto tmp6 = tmp4 + tmp5; 2022-11-23T01:37:55.1932665Z auto tmp8 = tmp6 + tmp7; 2022-11-23T01:37:55.1932748Z auto tmp10 = tmp8 + tmp9; 2022-11-23T01:37:55.1932830Z auto tmp12 = tmp10 + tmp11; 2022-11-23T01:37:55.1932899Z auto tmp14 = tmp12 + tmp13; 2022-11-23T01:37:55.1932978Z auto tmp16 = tmp14 + tmp15; 2022-11-23T01:37:55.1933069Z tmp16.store(in_out_ptr0 + 8*i0); 2022-11-23T01:37:55.1933132Z } 2022-11-23T01:37:55.1933216Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.1933294Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:37:55.1933353Z { 2022-11-23T01:37:55.1933426Z auto tmp0 = in_out_ptr0[i0]; 2022-11-23T01:37:55.1933507Z auto tmp1 = in_ptr17[i0]; 2022-11-23T01:37:55.1933586Z auto tmp3 = in_ptr18[i0]; 2022-11-23T01:37:55.1933696Z auto tmp5 = in_ptr19[i0]; 2022-11-23T01:37:55.1933776Z auto tmp7 = in_ptr20[i0]; 2022-11-23T01:37:55.1933854Z auto tmp9 = in_ptr21[i0]; 2022-11-23T01:37:55.1933940Z auto tmp11 = in_ptr22[i0]; 2022-11-23T01:37:55.1934008Z auto tmp13 = in_ptr23[i0]; 2022-11-23T01:37:55.1934089Z auto tmp15 = in_ptr24[i0]; 2022-11-23T01:37:55.1934170Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.1934249Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.1934328Z auto tmp6 = tmp4 + tmp5; 2022-11-23T01:37:55.1934407Z auto tmp8 = tmp6 + tmp7; 2022-11-23T01:37:55.1934540Z auto tmp10 = tmp8 + tmp9; 2022-11-23T01:37:55.1934609Z auto tmp12 = tmp10 + tmp11; 2022-11-23T01:37:55.1934689Z auto tmp14 = tmp12 + tmp13; 2022-11-23T01:37:55.1934768Z auto tmp16 = tmp14 + tmp15; 2022-11-23T01:37:55.1934846Z in_out_ptr0[i0] = tmp16; 2022-11-23T01:37:55.1934905Z } 2022-11-23T01:37:55.1934987Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.1935036Z { 2022-11-23T01:37:55.1935169Z auto tmp0 = at::vec::Vectorized::loadu(in_out_ptr0 + 8*i0); 2022-11-23T01:37:55.1935296Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr25 + 8*i0); 2022-11-23T01:37:55.1935421Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr26 + 8*i0); 2022-11-23T01:37:55.1935548Z auto tmp5 = at::vec::Vectorized::loadu(in_ptr27 + 8*i0); 2022-11-23T01:37:55.1935673Z auto tmp7 = at::vec::Vectorized::loadu(in_ptr28 + 8*i0); 2022-11-23T01:37:55.1935798Z auto tmp9 = at::vec::Vectorized::loadu(in_ptr29 + 8*i0); 2022-11-23T01:37:55.1935930Z auto tmp11 = at::vec::Vectorized::loadu(in_ptr30 + 8*i0); 2022-11-23T01:37:55.1936059Z auto tmp13 = at::vec::Vectorized::loadu(in_ptr31 + 8*i0); 2022-11-23T01:37:55.1936173Z auto tmp15 = at::vec::Vectorized::loadu(in_ptr32 + 8*i0); 2022-11-23T01:37:55.1936254Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.1936337Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.1936416Z auto tmp6 = tmp4 + tmp5; 2022-11-23T01:37:55.1936496Z auto tmp8 = tmp6 + tmp7; 2022-11-23T01:37:55.1936577Z auto tmp10 = tmp8 + tmp9; 2022-11-23T01:37:55.1936660Z auto tmp12 = tmp10 + tmp11; 2022-11-23T01:37:55.1936728Z auto tmp14 = tmp12 + tmp13; 2022-11-23T01:37:55.1936807Z auto tmp16 = tmp14 + tmp15; 2022-11-23T01:37:55.1936900Z tmp16.store(in_out_ptr0 + 8*i0); 2022-11-23T01:37:55.1936960Z } 2022-11-23T01:37:55.1937046Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.1937129Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:37:55.1937188Z { 2022-11-23T01:37:55.1937261Z auto tmp0 = in_out_ptr0[i0]; 2022-11-23T01:37:55.1937340Z auto tmp1 = in_ptr25[i0]; 2022-11-23T01:37:55.1937420Z auto tmp3 = in_ptr26[i0]; 2022-11-23T01:37:55.1937500Z auto tmp5 = in_ptr27[i0]; 2022-11-23T01:37:55.1937578Z auto tmp7 = in_ptr28[i0]; 2022-11-23T01:37:55.1937658Z auto tmp9 = in_ptr29[i0]; 2022-11-23T01:37:55.1937740Z auto tmp11 = in_ptr30[i0]; 2022-11-23T01:37:55.1937809Z auto tmp13 = in_ptr31[i0]; 2022-11-23T01:37:55.1937888Z auto tmp15 = in_ptr32[i0]; 2022-11-23T01:37:55.1937968Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.1938047Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.1938125Z auto tmp6 = tmp4 + tmp5; 2022-11-23T01:37:55.1938203Z auto tmp8 = tmp6 + tmp7; 2022-11-23T01:37:55.1938283Z auto tmp10 = tmp8 + tmp9; 2022-11-23T01:37:55.1938353Z auto tmp12 = tmp10 + tmp11; 2022-11-23T01:37:55.1938435Z auto tmp14 = tmp12 + tmp13; 2022-11-23T01:37:55.1938514Z auto tmp16 = tmp14 + tmp15; 2022-11-23T01:37:55.1938591Z in_out_ptr0[i0] = tmp16; 2022-11-23T01:37:55.1938651Z } 2022-11-23T01:37:55.1938728Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.1938979Z { 2022-11-23T01:37:55.1939218Z auto tmp0 = at::vec::Vectorized::loadu(in_out_ptr0 + 8*i0); 2022-11-23T01:37:55.1939356Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr33 + 8*i0); 2022-11-23T01:37:55.1939481Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr34 + 8*i0); 2022-11-23T01:37:55.1939607Z auto tmp5 = at::vec::Vectorized::loadu(in_ptr35 + 8*i0); 2022-11-23T01:37:55.1939732Z auto tmp7 = at::vec::Vectorized::loadu(in_ptr36 + 8*i0); 2022-11-23T01:37:55.1939858Z auto tmp9 = at::vec::Vectorized::loadu(in_ptr37 + 8*i0); 2022-11-23T01:37:55.1939987Z auto tmp11 = at::vec::Vectorized::loadu(in_ptr38 + 8*i0); 2022-11-23T01:37:55.1940154Z auto tmp13 = at::vec::Vectorized::loadu(in_ptr39 + 8*i0); 2022-11-23T01:37:55.1940284Z auto tmp15 = at::vec::Vectorized::loadu(in_ptr40 + 8*i0); 2022-11-23T01:37:55.1940356Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.1940438Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.1940520Z auto tmp6 = tmp4 + tmp5; 2022-11-23T01:37:55.1940601Z auto tmp8 = tmp6 + tmp7; 2022-11-23T01:37:55.1940682Z auto tmp10 = tmp8 + tmp9; 2022-11-23T01:37:55.1940765Z auto tmp12 = tmp10 + tmp11; 2022-11-23T01:37:55.1940835Z auto tmp14 = tmp12 + tmp13; 2022-11-23T01:37:55.1940914Z auto tmp16 = tmp14 + tmp15; 2022-11-23T01:37:55.1941006Z tmp16.store(in_out_ptr0 + 8*i0); 2022-11-23T01:37:55.1941066Z } 2022-11-23T01:37:55.1941153Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.1941232Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:37:55.1941292Z { 2022-11-23T01:37:55.1941367Z auto tmp0 = in_out_ptr0[i0]; 2022-11-23T01:37:55.1941448Z auto tmp1 = in_ptr33[i0]; 2022-11-23T01:37:55.1941527Z auto tmp3 = in_ptr34[i0]; 2022-11-23T01:37:55.1941607Z auto tmp5 = in_ptr35[i0]; 2022-11-23T01:37:55.1941686Z auto tmp7 = in_ptr36[i0]; 2022-11-23T01:37:55.1941765Z auto tmp9 = in_ptr37[i0]; 2022-11-23T01:37:55.1941850Z auto tmp11 = in_ptr38[i0]; 2022-11-23T01:37:55.1941920Z auto tmp13 = in_ptr39[i0]; 2022-11-23T01:37:55.1942000Z auto tmp15 = in_ptr40[i0]; 2022-11-23T01:37:55.1942081Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.1942161Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.1942239Z auto tmp6 = tmp4 + tmp5; 2022-11-23T01:37:55.1942319Z auto tmp8 = tmp6 + tmp7; 2022-11-23T01:37:55.1942399Z auto tmp10 = tmp8 + tmp9; 2022-11-23T01:37:55.1942469Z auto tmp12 = tmp10 + tmp11; 2022-11-23T01:37:55.1942549Z auto tmp14 = tmp12 + tmp13; 2022-11-23T01:37:55.1942629Z auto tmp16 = tmp14 + tmp15; 2022-11-23T01:37:55.1942710Z in_out_ptr0[i0] = tmp16; 2022-11-23T01:37:55.1942771Z } 2022-11-23T01:37:55.1942848Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.1942907Z { 2022-11-23T01:37:55.1943028Z auto tmp0 = at::vec::Vectorized::loadu(in_out_ptr0 + 8*i0); 2022-11-23T01:37:55.1943157Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr41 + 8*i0); 2022-11-23T01:37:55.1943283Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr42 + 8*i0); 2022-11-23T01:37:55.1943407Z auto tmp5 = at::vec::Vectorized::loadu(in_ptr43 + 8*i0); 2022-11-23T01:37:55.1943531Z auto tmp7 = at::vec::Vectorized::loadu(in_ptr44 + 8*i0); 2022-11-23T01:37:55.1943655Z auto tmp9 = at::vec::Vectorized::loadu(in_ptr45 + 8*i0); 2022-11-23T01:37:55.1943782Z auto tmp11 = at::vec::Vectorized::loadu(in_ptr46 + 8*i0); 2022-11-23T01:37:55.1943909Z auto tmp13 = at::vec::Vectorized::loadu(in_ptr47 + 8*i0); 2022-11-23T01:37:55.1944038Z auto tmp15 = at::vec::Vectorized::loadu(in_ptr48 + 8*i0); 2022-11-23T01:37:55.1944107Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.1944187Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.1944266Z auto tmp6 = tmp4 + tmp5; 2022-11-23T01:37:55.1944344Z auto tmp8 = tmp6 + tmp7; 2022-11-23T01:37:55.1944458Z auto tmp10 = tmp8 + tmp9; 2022-11-23T01:37:55.1944542Z auto tmp12 = tmp10 + tmp11; 2022-11-23T01:37:55.1944622Z auto tmp14 = tmp12 + tmp13; 2022-11-23T01:37:55.1944690Z auto tmp16 = tmp14 + tmp15; 2022-11-23T01:37:55.1944780Z tmp16.store(in_out_ptr0 + 8*i0); 2022-11-23T01:37:55.1944841Z } 2022-11-23T01:37:55.1944926Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.1945005Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:37:55.1945065Z { 2022-11-23T01:37:55.1945137Z auto tmp0 = in_out_ptr0[i0]; 2022-11-23T01:37:55.1945217Z auto tmp1 = in_ptr41[i0]; 2022-11-23T01:37:55.1945328Z auto tmp3 = in_ptr42[i0]; 2022-11-23T01:37:55.1945408Z auto tmp5 = in_ptr43[i0]; 2022-11-23T01:37:55.1945487Z auto tmp7 = in_ptr44[i0]; 2022-11-23T01:37:55.1945567Z auto tmp9 = in_ptr45[i0]; 2022-11-23T01:37:55.1945648Z auto tmp11 = in_ptr46[i0]; 2022-11-23T01:37:55.1945718Z auto tmp13 = in_ptr47[i0]; 2022-11-23T01:37:55.1945800Z auto tmp15 = in_ptr48[i0]; 2022-11-23T01:37:55.1945881Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.1945960Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.1946040Z auto tmp6 = tmp4 + tmp5; 2022-11-23T01:37:55.1946120Z auto tmp8 = tmp6 + tmp7; 2022-11-23T01:37:55.1946200Z auto tmp10 = tmp8 + tmp9; 2022-11-23T01:37:55.1946271Z auto tmp12 = tmp10 + tmp11; 2022-11-23T01:37:55.1946354Z auto tmp14 = tmp12 + tmp13; 2022-11-23T01:37:55.1946434Z auto tmp16 = tmp14 + tmp15; 2022-11-23T01:37:55.1946513Z in_out_ptr0[i0] = tmp16; 2022-11-23T01:37:55.1946574Z } 2022-11-23T01:37:55.1946650Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.1946712Z { 2022-11-23T01:37:55.1946834Z auto tmp0 = at::vec::Vectorized::loadu(in_out_ptr0 + 8*i0); 2022-11-23T01:37:55.1946962Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr49 + 8*i0); 2022-11-23T01:37:55.1947044Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.1947135Z tmp2.store(in_out_ptr0 + 8*i0); 2022-11-23T01:37:55.1947194Z } 2022-11-23T01:37:55.1947279Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.1947358Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:37:55.1947405Z { 2022-11-23T01:37:55.1947489Z auto tmp0 = in_out_ptr0[i0]; 2022-11-23T01:37:55.1947570Z auto tmp1 = in_ptr49[i0]; 2022-11-23T01:37:55.1947651Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.1947729Z in_out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.1947788Z } 2022-11-23T01:37:55.1947846Z } 2022-11-23T01:37:55.1947951Z ''') 2022-11-23T01:37:55.1947960Z 2022-11-23T01:37:55.1947967Z 2022-11-23T01:37:55.1948055Z async_compile.wait(globals()) 2022-11-23T01:37:55.1948200Z del async_compile 2022-11-23T01:37:55.1948207Z 2022-11-23T01:37:55.1948283Z def call(args): 2022-11-23T01:37:55.1948618Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1, arg8_1, arg9_1, arg10_1, arg11_1, arg12_1, arg13_1, arg14_1, arg15_1, arg16_1, arg17_1, arg18_1, arg19_1, arg20_1, arg21_1, arg22_1, arg23_1, arg24_1, arg25_1, arg26_1, arg27_1, arg28_1, arg29_1, arg30_1, arg31_1, arg32_1, arg33_1, arg34_1, arg35_1, arg36_1, arg37_1, arg38_1, arg39_1, arg40_1, arg41_1, arg42_1, arg43_1, arg44_1, arg45_1, arg46_1, arg47_1, arg48_1, arg49_1 = args 2022-11-23T01:37:55.1948691Z args.clear() 2022-11-23T01:37:55.1948906Z buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1948992Z buf1 = buf0; del buf0 # reuse 2022-11-23T01:37:55.1949074Z buf2 = buf1; del buf1 # reuse 2022-11-23T01:37:55.1949141Z buf3 = buf2; del buf2 # reuse 2022-11-23T01:37:55.1949222Z buf4 = buf3; del buf3 # reuse 2022-11-23T01:37:55.1949302Z buf5 = buf4; del buf4 # reuse 2022-11-23T01:37:55.1949380Z buf6 = buf5; del buf5 # reuse 2022-11-23T01:37:55.1950672Z kernel_cpp_0(c_void_p(buf6.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg6_1.data_ptr()), c_void_p(arg7_1.data_ptr()), c_void_p(arg8_1.data_ptr()), c_void_p(arg9_1.data_ptr()), c_void_p(arg10_1.data_ptr()), c_void_p(arg11_1.data_ptr()), c_void_p(arg12_1.data_ptr()), c_void_p(arg13_1.data_ptr()), c_void_p(arg14_1.data_ptr()), c_void_p(arg15_1.data_ptr()), c_void_p(arg16_1.data_ptr()), c_void_p(arg17_1.data_ptr()), c_void_p(arg18_1.data_ptr()), c_void_p(arg19_1.data_ptr()), c_void_p(arg20_1.data_ptr()), c_void_p(arg21_1.data_ptr()), c_void_p(arg22_1.data_ptr()), c_void_p(arg23_1.data_ptr()), c_void_p(arg24_1.data_ptr()), c_void_p(arg25_1.data_ptr()), c_void_p(arg26_1.data_ptr()), c_void_p(arg27_1.data_ptr()), c_void_p(arg28_1.data_ptr()), c_void_p(arg29_1.data_ptr()), c_void_p(arg30_1.data_ptr()), c_void_p(arg31_1.data_ptr()), c_void_p(arg32_1.data_ptr()), c_void_p(arg33_1.data_ptr()), c_void_p(arg34_1.data_ptr()), c_void_p(arg35_1.data_ptr()), c_void_p(arg36_1.data_ptr()), c_void_p(arg37_1.data_ptr()), c_void_p(arg38_1.data_ptr()), c_void_p(arg39_1.data_ptr()), c_void_p(arg40_1.data_ptr()), c_void_p(arg41_1.data_ptr()), c_void_p(arg42_1.data_ptr()), c_void_p(arg43_1.data_ptr()), c_void_p(arg44_1.data_ptr()), c_void_p(arg45_1.data_ptr()), c_void_p(arg46_1.data_ptr()), c_void_p(arg47_1.data_ptr()), c_void_p(arg48_1.data_ptr()), c_void_p(arg49_1.data_ptr())) 2022-11-23T01:37:55.1950776Z del arg0_1 2022-11-23T01:37:55.1950844Z del arg10_1 2022-11-23T01:37:55.1950909Z del arg11_1 2022-11-23T01:37:55.1950972Z del arg12_1 2022-11-23T01:37:55.1951038Z del arg13_1 2022-11-23T01:37:55.1951101Z del arg14_1 2022-11-23T01:37:55.1951155Z del arg15_1 2022-11-23T01:37:55.1951219Z del arg16_1 2022-11-23T01:37:55.1951283Z del arg17_1 2022-11-23T01:37:55.1951346Z del arg18_1 2022-11-23T01:37:55.1951411Z del arg19_1 2022-11-23T01:37:55.1951474Z del arg1_1 2022-11-23T01:37:55.1951538Z del arg20_1 2022-11-23T01:37:55.1951589Z del arg21_1 2022-11-23T01:37:55.1951654Z del arg22_1 2022-11-23T01:37:55.1951722Z del arg23_1 2022-11-23T01:37:55.1951787Z del arg24_1 2022-11-23T01:37:55.1951851Z del arg25_1 2022-11-23T01:37:55.1951917Z del arg26_1 2022-11-23T01:37:55.1951969Z del arg27_1 2022-11-23T01:37:55.1952033Z del arg28_1 2022-11-23T01:37:55.1952098Z del arg29_1 2022-11-23T01:37:55.1952162Z del arg2_1 2022-11-23T01:37:55.1952225Z del arg30_1 2022-11-23T01:37:55.1952289Z del arg31_1 2022-11-23T01:37:55.1952352Z del arg32_1 2022-11-23T01:37:55.1952405Z del arg33_1 2022-11-23T01:37:55.1952471Z del arg34_1 2022-11-23T01:37:55.1952536Z del arg35_1 2022-11-23T01:37:55.1952604Z del arg36_1 2022-11-23T01:37:55.1952669Z del arg37_1 2022-11-23T01:37:55.1952735Z del arg38_1 2022-11-23T01:37:55.1952787Z del arg39_1 2022-11-23T01:37:55.1952853Z del arg3_1 2022-11-23T01:37:55.1952920Z del arg40_1 2022-11-23T01:37:55.1952986Z del arg41_1 2022-11-23T01:37:55.1953053Z del arg42_1 2022-11-23T01:37:55.1953119Z del arg43_1 2022-11-23T01:37:55.1953173Z del arg44_1 2022-11-23T01:37:55.1953240Z del arg45_1 2022-11-23T01:37:55.1953305Z del arg46_1 2022-11-23T01:37:55.1953370Z del arg47_1 2022-11-23T01:37:55.1953438Z del arg48_1 2022-11-23T01:37:55.1953504Z del arg49_1 2022-11-23T01:37:55.1953569Z del arg4_1 2022-11-23T01:37:55.1953621Z del arg5_1 2022-11-23T01:37:55.1953689Z del arg6_1 2022-11-23T01:37:55.1953758Z del arg7_1 2022-11-23T01:37:55.1953825Z del arg8_1 2022-11-23T01:37:55.1953890Z del arg9_1 2022-11-23T01:37:55.1953962Z return (buf6, ) 2022-11-23T01:37:55.1953968Z 2022-11-23T01:37:55.1953974Z 2022-11-23T01:37:55.1954053Z if __name__ == "__main__": 2022-11-23T01:37:55.1954157Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.1954281Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.1954487Z arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1954724Z arg1_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1954923Z arg2_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1955114Z arg3_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1955306Z arg4_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1955496Z arg5_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1955673Z arg6_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1955859Z arg7_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1956087Z arg8_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1956276Z arg9_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1956475Z arg10_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1956674Z arg11_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1956869Z arg12_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1957063Z arg13_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1957239Z arg14_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1957428Z arg15_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1957619Z arg16_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1957811Z arg17_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1958001Z arg18_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1958193Z arg19_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1958387Z arg20_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1958578Z arg21_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1958754Z arg22_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1958944Z arg23_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1959134Z arg24_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1959325Z arg25_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1959513Z arg26_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1959706Z arg27_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1959893Z arg28_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1960081Z arg29_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1960258Z arg30_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1960443Z arg31_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1960633Z arg32_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1960819Z arg33_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1961005Z arg34_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1961194Z arg35_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1961383Z arg36_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1961571Z arg37_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1961744Z arg38_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1961929Z arg39_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1962149Z arg40_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1962338Z arg41_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1962523Z arg42_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1962709Z arg43_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1962896Z arg44_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1963082Z arg45_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1963289Z arg46_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1963476Z arg47_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1963663Z arg48_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1963848Z arg49_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1964215Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1, arg6_1, arg7_1, arg8_1, arg9_1, arg10_1, arg11_1, arg12_1, arg13_1, arg14_1, arg15_1, arg16_1, arg17_1, arg18_1, arg19_1, arg20_1, arg21_1, arg22_1, arg23_1, arg24_1, arg25_1, arg26_1, arg27_1, arg28_1, arg29_1, arg30_1, arg31_1, arg32_1, arg33_1, arg34_1, arg35_1, arg36_1, arg37_1, arg38_1, arg39_1, arg40_1, arg41_1, arg42_1, arg43_1, arg44_1, arg45_1, arg46_1, arg47_1, arg48_1, arg49_1])) 2022-11-23T01:37:55.1964590Z [2022-11-23 01:33:58,140] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jb/cjbvsd37g42eprllvcl5m6edw5jg2dakxfvoudews3y47ffqskwd.py 2022-11-23T01:37:55.1964864Z [2022-11-23 01:33:58,141] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 320 2022-11-23T01:37:55.1964872Z 2022-11-23T01:37:55.1964954Z --> 7 2022-11-23T01:37:55.1965021Z ok (1.832s) 2022-11-23T01:37:55.1965342Z test_no_op_reduction_cpu (__main__.CpuTests) ... [2022-11-23 01:33:58,150] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.1965603Z [2022-11-23 01:33:58,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.1965824Z [2022-11-23 01:33:58,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.1966079Z [2022-11-23 01:33:58,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.1966368Z [2022-11-23 01:33:58,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.1966698Z [2022-11-23 01:33:58,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.1967032Z [2022-11-23 01:33:58,150] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.1967126Z 3167 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.1967220Z 2 LOAD_METHOD 0 (sum) 2022-11-23T01:37:55.1967359Z 4 LOAD_CONST 1 (-1) 2022-11-23T01:37:55.1967437Z 6 CALL_METHOD 1 2022-11-23T01:37:55.1967528Z 8 LOAD_GLOBAL 1 (torch) 2022-11-23T01:37:55.1967617Z 10 LOAD_ATTR 2 (amax) 2022-11-23T01:37:55.1967704Z 12 LOAD_FAST 0 (a) 2022-11-23T01:37:55.1967791Z 14 LOAD_CONST 2 (1) 2022-11-23T01:37:55.1967867Z 16 BINARY_ADD 2022-11-23T01:37:55.1967951Z 18 LOAD_CONST 2 (1) 2022-11-23T01:37:55.1968029Z 20 LOAD_CONST 3 (True) 2022-11-23T01:37:55.1968186Z 22 LOAD_CONST 4 (('keepdim',)) 2022-11-23T01:37:55.1968277Z 24 CALL_FUNCTION_KW 3 2022-11-23T01:37:55.1968396Z 26 BUILD_TUPLE 2 2022-11-23T01:37:55.1968473Z 28 RETURN_VALUE 2022-11-23T01:37:55.1968533Z 2022-11-23T01:37:55.1968538Z 2022-11-23T01:37:55.1968809Z [2022-11-23 01:33:58,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3167 2022-11-23T01:37:55.1969023Z [2022-11-23 01:33:58,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.1969258Z [2022-11-23 01:33:58,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()] 2022-11-23T01:37:55.1969536Z [2022-11-23 01:33:58,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:37:55.1969889Z [2022-11-23 01:33:58,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)] 2022-11-23T01:37:55.1970143Z [2022-11-23 01:33:58,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:37:55.1970538Z [2022-11-23 01:33:58,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amax [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.1970890Z [2022-11-23 01:33:58,152] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.1971266Z [2022-11-23 01:33:58,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1971693Z [2022-11-23 01:33:58,153] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1972071Z [2022-11-23 01:33:58,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1972489Z [2022-11-23 01:33:58,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1972958Z [2022-11-23 01:33:58,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)] 2022-11-23T01:37:55.1973465Z [2022-11-23 01:33:58,154] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)] 2022-11-23T01:37:55.1973739Z [2022-11-23 01:33:58,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.1973975Z [2022-11-23 01:33:58,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.1974305Z [2022-11-23 01:33:58,155] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.1974554Z [2022-11-23 01:33:58,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.1974790Z [2022-11-23 01:33:58,155] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.1975049Z [2022-11-23 01:33:58,156] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.1975300Z [2022-11-23 01:33:58,162] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.1975519Z [2022-11-23 01:33:58,163] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.1975655Z __compiled_fn_328 .2785 opcode, name, target, args, kwargs 2022-11-23T01:37:55.1975746Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.1975872Z call_method, sum_1, sum, (ex_0_, -1), {} 2022-11-23T01:37:55.1976046Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:55.1976297Z call_function, amax, , (add, 1), {'keepdim': True} 2022-11-23T01:37:55.1976401Z output, output, output, ((sum_1, amax),), {} 2022-11-23T01:37:55.1976451Z 2022-11-23T01:37:55.1976732Z [2022-11-23 01:33:58,163] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.1976825Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.1976918Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1977009Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.1977090Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.1977165Z 8 RETURN_VALUE 2022-11-23T01:37:55.1977170Z 2022-11-23T01:37:55.1977229Z 2022-11-23T01:37:55.1977504Z [2022-11-23 01:33:58,163] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.1977611Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_328) 2022-11-23T01:37:55.1977700Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.1977788Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.1977852Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.1977942Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.1978045Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.1978146Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.1978233Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.1978310Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.1978411Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.1978487Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.1978561Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.1978647Z 24 BUILD_TUPLE 2 2022-11-23T01:37:55.1978721Z 26 RETURN_VALUE 2022-11-23T01:37:55.1978727Z 2022-11-23T01:37:55.1978952Z 2022-11-23T01:37:55.1979195Z [2022-11-23 01:33:58,164] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.1979268Z - 2022-11-23T01:37:55.1979389Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.1979446Z { 2022-11-23T01:37:55.1979593Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.1979783Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.1979906Z 'obj_weakref': None 2022-11-23T01:37:55.1980134Z 'guarded_class': 2022-11-23T01:37:55.1980200Z } 2022-11-23T01:37:55.1980261Z 2022-11-23T01:37:55.1980319Z - 2022-11-23T01:37:55.1980444Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.1980510Z { 2022-11-23T01:37:55.1980655Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.1980767Z 'code': None, 2022-11-23T01:37:55.1980983Z 'obj_weakref': 2022-11-23T01:37:55.1981239Z 'guarded_class': 2022-11-23T01:37:55.1981292Z } 2022-11-23T01:37:55.1981355Z 2022-11-23T01:37:55.1981426Z - 2022-11-23T01:37:55.1981557Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.1981620Z { 2022-11-23T01:37:55.1981755Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.1981989Z 'code': ['___check_obj_id(model, 140538741556576)'], 2022-11-23T01:37:55.1982102Z 'obj_weakref': None 2022-11-23T01:37:55.1982333Z 'guarded_class': 2022-11-23T01:37:55.1982397Z } 2022-11-23T01:37:55.1982460Z 2022-11-23T01:37:55.1982530Z - 2022-11-23T01:37:55.1982654Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.1982705Z { 2022-11-23T01:37:55.1982842Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.1983059Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.1983223Z 'obj_weakref': None 2022-11-23T01:37:55.1983447Z 'guarded_class': 2022-11-23T01:37:55.1983511Z } 2022-11-23T01:37:55.1983572Z 2022-11-23T01:37:55.1983641Z - 2022-11-23T01:37:55.1983765Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.1983828Z { 2022-11-23T01:37:55.1983950Z 'guard_types': None, 2022-11-23T01:37:55.1984059Z 'code': None, 2022-11-23T01:37:55.1984180Z 'obj_weakref': None 2022-11-23T01:37:55.1984302Z 'guarded_class': None 2022-11-23T01:37:55.1984352Z } 2022-11-23T01:37:55.1984412Z 2022-11-23T01:37:55.1984670Z [2022-11-23 01:33:58,171] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 321 2022-11-23T01:37:55.1985042Z [2022-11-23 01:33:59,559] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6g/c6go6huytcxmmsbff5o5pf2xnowyf2irkdeaja5mljhczupr5gsp.py 2022-11-23T01:37:55.1985311Z [2022-11-23 01:33:59,559] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 321 2022-11-23T01:37:55.1985317Z 2022-11-23T01:37:55.1985412Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.1985481Z import torch 2022-11-23T01:37:55.1985551Z import random 2022-11-23T01:37:55.1985654Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.1985774Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.1985779Z 2022-11-23T01:37:55.1985857Z aten = torch.ops.aten 2022-11-23T01:37:55.1985990Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.1986080Z async_compile = AsyncCompile() 2022-11-23T01:37:55.1986085Z 2022-11-23T01:37:55.1986090Z 2022-11-23T01:37:55.1986225Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.1986431Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.1986555Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.1986644Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.1986739Z float* __restrict__ out_ptr1) 2022-11-23T01:37:55.1986798Z { 2022-11-23T01:37:55.1986876Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:37:55.1986940Z { 2022-11-23T01:37:55.1987086Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.1987217Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:55.1987302Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.1987377Z tmp0.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.1987461Z tmp2.store(out_ptr1 + 8*i0); 2022-11-23T01:37:55.1987520Z } 2022-11-23T01:37:55.1987607Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.1987687Z for(long i0=8; i0<8; i0+=1) 2022-11-23T01:37:55.1987747Z { 2022-11-23T01:37:55.1987818Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.1987914Z auto tmp1 = static_cast(1); 2022-11-23T01:37:55.1987994Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.1988070Z out_ptr0[i0] = tmp0; 2022-11-23T01:37:55.1988220Z out_ptr1[i0] = tmp2; 2022-11-23T01:37:55.1988285Z } 2022-11-23T01:37:55.1988343Z } 2022-11-23T01:37:55.1988413Z ''') 2022-11-23T01:37:55.1988456Z 2022-11-23T01:37:55.1988474Z 2022-11-23T01:37:55.1988553Z async_compile.wait(globals()) 2022-11-23T01:37:55.1988625Z del async_compile 2022-11-23T01:37:55.1988630Z 2022-11-23T01:37:55.1988700Z def call(args): 2022-11-23T01:37:55.1988769Z arg0_1, = args 2022-11-23T01:37:55.1988840Z args.clear() 2022-11-23T01:37:55.1989038Z buf0 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1989244Z buf1 = empty_strided((8, 1, 1), (1, 8, 8), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1989396Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:55.1989500Z del arg0_1 2022-11-23T01:37:55.1989578Z return (buf0, buf1, ) 2022-11-23T01:37:55.1989583Z 2022-11-23T01:37:55.1989587Z 2022-11-23T01:37:55.1989663Z if __name__ == "__main__": 2022-11-23T01:37:55.1989777Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.1989899Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.1990108Z arg0_1 = rand_strided((8, 1, 1), (1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.1990214Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.1990221Z 2022-11-23T01:37:55.1990274Z ok (1.417s) 2022-11-23T01:37:55.1990583Z test_permute_cpu (__main__.CpuTests) ... [2022-11-23 01:33:59,567] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.1990854Z [2022-11-23 01:33:59,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.1991077Z [2022-11-23 01:33:59,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.1991331Z [2022-11-23 01:33:59,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.1991618Z [2022-11-23 01:33:59,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.1991944Z [2022-11-23 01:33:59,567] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.1992279Z [2022-11-23 01:33:59,567] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.1992376Z 1253 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.1992462Z 2 LOAD_METHOD 1 (permute) 2022-11-23T01:37:55.1992551Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.1992642Z 6 LOAD_CONST 1 (1) 2022-11-23T01:37:55.1992715Z 8 BINARY_ADD 2022-11-23T01:37:55.1992802Z 10 LOAD_CONST 2 (2) 2022-11-23T01:37:55.1992889Z 12 LOAD_CONST 1 (1) 2022-11-23T01:37:55.1992974Z 14 LOAD_CONST 3 (4) 2022-11-23T01:37:55.1993051Z 16 LOAD_CONST 4 (0) 2022-11-23T01:37:55.1993135Z 18 LOAD_CONST 5 (3) 2022-11-23T01:37:55.1993221Z 20 BUILD_LIST 5 2022-11-23T01:37:55.1993307Z 22 CALL_METHOD 2 2022-11-23T01:37:55.1993393Z 24 LOAD_CONST 2 (2) 2022-11-23T01:37:55.1993463Z 26 BINARY_ADD 2022-11-23T01:37:55.1993468Z 2022-11-23T01:37:55.1993561Z 1254 28 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.1993657Z 30 LOAD_METHOD 1 (permute) 2022-11-23T01:37:55.1993734Z 32 LOAD_FAST 0 (a) 2022-11-23T01:37:55.1993818Z 34 LOAD_CONST 2 (2) 2022-11-23T01:37:55.1993903Z 36 LOAD_CONST 1 (1) 2022-11-23T01:37:55.1993990Z 38 LOAD_CONST 3 (4) 2022-11-23T01:37:55.1994074Z 40 LOAD_CONST 4 (0) 2022-11-23T01:37:55.1994188Z 42 LOAD_CONST 5 (3) 2022-11-23T01:37:55.1994275Z 44 BUILD_LIST 5 2022-11-23T01:37:55.1994349Z 46 CALL_METHOD 2 2022-11-23T01:37:55.1994434Z 48 LOAD_CONST 2 (2) 2022-11-23T01:37:55.1994506Z 50 BINARY_ADD 2022-11-23T01:37:55.1994595Z 52 BUILD_TUPLE 2 2022-11-23T01:37:55.1994671Z 54 RETURN_VALUE 2022-11-23T01:37:55.1994730Z 2022-11-23T01:37:55.1994735Z 2022-11-23T01:37:55.1995008Z [2022-11-23 01:33:59,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1253 2022-11-23T01:37:55.1995253Z [2022-11-23 01:33:59,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.1995628Z [2022-11-23 01:33:59,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR permute [TorchVariable()] 2022-11-23T01:37:55.1995959Z [2022-11-23 01:33:59,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:55.1996321Z [2022-11-23 01:33:59,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1996719Z [2022-11-23 01:33:59,568] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1997078Z [2022-11-23 01:33:59,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.1997472Z [2022-11-23 01:33:59,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.1997905Z [2022-11-23 01:33:59,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1998370Z [2022-11-23 01:33:59,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1998873Z [2022-11-23 01:33:59,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1999414Z [2022-11-23 01:33:59,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 5 [TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.1999797Z [2022-11-23 01:33:59,570] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.2000041Z [2022-11-23 01:33:59,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:37:55.2000327Z [2022-11-23 01:33:59,571] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2000601Z [2022-11-23 01:33:59,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1254 2022-11-23T01:37:55.2000841Z [2022-11-23 01:33:59,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:37:55.2001275Z [2022-11-23 01:33:59,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR permute [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.2001638Z [2022-11-23 01:33:59,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.2002023Z [2022-11-23 01:33:59,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.2002518Z [2022-11-23 01:33:59,572] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2002986Z [2022-11-23 01:33:59,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.2003476Z [2022-11-23 01:33:59,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.2004013Z [2022-11-23 01:33:59,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.2004582Z [2022-11-23 01:33:59,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 5 [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.2004997Z [2022-11-23 01:33:59,573] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.2005269Z [2022-11-23 01:33:59,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2005583Z [2022-11-23 01:33:59,574] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2005861Z [2022-11-23 01:33:59,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2006111Z [2022-11-23 01:33:59,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.2006436Z [2022-11-23 01:33:59,575] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.2006687Z [2022-11-23 01:33:59,575] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.2006926Z [2022-11-23 01:33:59,575] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.2007185Z [2022-11-23 01:33:59,576] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.2007439Z [2022-11-23 01:33:59,581] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.2007636Z [2022-11-23 01:33:59,582] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.2007776Z __compiled_fn_329 .2791 opcode, name, target, args, kwargs 2022-11-23T01:37:55.2007867Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.2008046Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:55.2008320Z call_function, permute, , (add, [2, 1, 4, 0, 3]), {} 2022-11-23T01:37:55.2008509Z call_function, add_1, , (permute, 2), {} 2022-11-23T01:37:55.2008766Z call_function, permute_1, , (ex_0_, [2, 1, 4, 0, 3]), {} 2022-11-23T01:37:55.2008953Z call_function, add_2, , (permute_1, 2), {} 2022-11-23T01:37:55.2009060Z output, output, output, ((add_1, add_2),), {} 2022-11-23T01:37:55.2009066Z 2022-11-23T01:37:55.2009349Z [2022-11-23 01:33:59,582] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2009480Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.2009570Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2009651Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.2009744Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.2009823Z 8 RETURN_VALUE 2022-11-23T01:37:55.2009829Z 2022-11-23T01:37:55.2009893Z 2022-11-23T01:37:55.2010169Z [2022-11-23 01:33:59,582] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2010279Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_329) 2022-11-23T01:37:55.2010371Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2010462Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2010526Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.2010613Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.2010720Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2010819Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2010905Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2010981Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.2011085Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2011161Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.2011237Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.2011324Z 24 BUILD_TUPLE 2 2022-11-23T01:37:55.2011399Z 26 RETURN_VALUE 2022-11-23T01:37:55.2011404Z 2022-11-23T01:37:55.2011465Z 2022-11-23T01:37:55.2011649Z [2022-11-23 01:33:59,583] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.2011721Z - 2022-11-23T01:37:55.2011830Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.2011894Z { 2022-11-23T01:37:55.2012037Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.2012229Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.2012351Z 'obj_weakref': None 2022-11-23T01:37:55.2012578Z 'guarded_class': 2022-11-23T01:37:55.2012641Z } 2022-11-23T01:37:55.2012691Z 2022-11-23T01:37:55.2012763Z - 2022-11-23T01:37:55.2012890Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.2012954Z { 2022-11-23T01:37:55.2013098Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2013207Z 'code': None, 2022-11-23T01:37:55.2013423Z 'obj_weakref': 2022-11-23T01:37:55.2013666Z 'guarded_class': 2022-11-23T01:37:55.2013733Z } 2022-11-23T01:37:55.2013795Z 2022-11-23T01:37:55.2013868Z - 2022-11-23T01:37:55.2013999Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.2014061Z { 2022-11-23T01:37:55.2014199Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.2014359Z 'code': ['___check_obj_id(model, 140538740219776)'], 2022-11-23T01:37:55.2014479Z 'obj_weakref': None 2022-11-23T01:37:55.2014740Z 'guarded_class': 2022-11-23T01:37:55.2014805Z } 2022-11-23T01:37:55.2014869Z 2022-11-23T01:37:55.2014939Z - 2022-11-23T01:37:55.2015061Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.2015111Z { 2022-11-23T01:37:55.2015250Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.2015470Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.2015590Z 'obj_weakref': None 2022-11-23T01:37:55.2015844Z 'guarded_class': 2022-11-23T01:37:55.2015909Z } 2022-11-23T01:37:55.2015973Z 2022-11-23T01:37:55.2016031Z - 2022-11-23T01:37:55.2016166Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.2016227Z { 2022-11-23T01:37:55.2016348Z 'guard_types': None, 2022-11-23T01:37:55.2016459Z 'code': None, 2022-11-23T01:37:55.2016578Z 'obj_weakref': None 2022-11-23T01:37:55.2016700Z 'guarded_class': None 2022-11-23T01:37:55.2016750Z } 2022-11-23T01:37:55.2016810Z 2022-11-23T01:37:55.2017072Z [2022-11-23 01:33:59,591] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 322 2022-11-23T01:37:55.2017454Z [2022-11-23 01:34:00,981] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/z3/cz3wfjbyvzsuqvbemhsneevorxecfxumg6cebplxtsltubcrivuw.py 2022-11-23T01:37:55.2017722Z [2022-11-23 01:34:00,981] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 322 2022-11-23T01:37:55.2017728Z 2022-11-23T01:37:55.2017821Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.2017891Z import torch 2022-11-23T01:37:55.2017959Z import random 2022-11-23T01:37:55.2018060Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.2018181Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.2018187Z 2022-11-23T01:37:55.2018263Z aten = torch.ops.aten 2022-11-23T01:37:55.2018397Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.2018487Z async_compile = AsyncCompile() 2022-11-23T01:37:55.2018492Z 2022-11-23T01:37:55.2018496Z 2022-11-23T01:37:55.2018631Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.2019023Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.2019169Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.2019264Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.2019360Z float* __restrict__ out_ptr1) 2022-11-23T01:37:55.2019420Z { 2022-11-23T01:37:55.2019500Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:55.2019563Z { 2022-11-23T01:37:55.2019706Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.2019840Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:55.2019911Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.2020035Z auto tmp3 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:37:55.2020117Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.2020197Z auto tmp5 = tmp0 + tmp3; 2022-11-23T01:37:55.2020285Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.2020371Z tmp5.store(out_ptr1 + 8*i0); 2022-11-23T01:37:55.2020433Z } 2022-11-23T01:37:55.2020509Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.2020591Z for(long i0=32; i0<32; i0+=1) 2022-11-23T01:37:55.2020648Z { 2022-11-23T01:37:55.2020728Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.2020821Z auto tmp1 = static_cast(1); 2022-11-23T01:37:55.2020900Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.2020994Z auto tmp3 = static_cast(2); 2022-11-23T01:37:55.2021126Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.2021211Z auto tmp5 = tmp0 + tmp3; 2022-11-23T01:37:55.2021288Z out_ptr0[i0] = tmp4; 2022-11-23T01:37:55.2021363Z out_ptr1[i0] = tmp5; 2022-11-23T01:37:55.2021423Z } 2022-11-23T01:37:55.2021482Z } 2022-11-23T01:37:55.2021567Z ''') 2022-11-23T01:37:55.2021573Z 2022-11-23T01:37:55.2021577Z 2022-11-23T01:37:55.2021654Z async_compile.wait(globals()) 2022-11-23T01:37:55.2021725Z del async_compile 2022-11-23T01:37:55.2021730Z 2022-11-23T01:37:55.2021801Z def call(args): 2022-11-23T01:37:55.2021870Z arg0_1, = args 2022-11-23T01:37:55.2021993Z args.clear() 2022-11-23T01:37:55.2022215Z buf0 = empty_strided((2, 2, 2, 2, 2), (4, 8, 1, 16, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2022435Z buf1 = empty_strided((2, 2, 2, 2, 2), (4, 8, 1, 16, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2022598Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:55.2022656Z del arg0_1 2022-11-23T01:37:55.2022730Z return (buf0, buf1, ) 2022-11-23T01:37:55.2022736Z 2022-11-23T01:37:55.2022740Z 2022-11-23T01:37:55.2022814Z if __name__ == "__main__": 2022-11-23T01:37:55.2022927Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.2023048Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.2023273Z arg0_1 = rand_strided((2, 2, 2, 2, 2), (16, 8, 4, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2023382Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.2023387Z 2022-11-23T01:37:55.2023457Z ok (1.422s) 2022-11-23T01:37:55.2023744Z test_pow1_cpu (__main__.CpuTests) ... [2022-11-23 01:34:00,989] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.2024019Z [2022-11-23 01:34:00,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.2024243Z [2022-11-23 01:34:00,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.2024499Z [2022-11-23 01:34:00,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.2024787Z [2022-11-23 01:34:00,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.2025109Z [2022-11-23 01:34:00,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.2025442Z [2022-11-23 01:34:00,990] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.2025541Z 2511 0 LOAD_CLOSURE 0 (x) 2022-11-23T01:37:55.2025629Z 2 BUILD_TUPLE 1 2022-11-23T01:37:55.2025802Z 4 LOAD_CONST 1 ( at 0x7fd23719da50, file "inductor/test_torchinductor.py", line 2511>) 2022-11-23T01:37:55.2026038Z 6 LOAD_CONST 2 ('CommonTemplate.test_pow1..fn..') 2022-11-23T01:37:55.2026128Z 8 MAKE_FUNCTION 8 2022-11-23T01:37:55.2026221Z 10 LOAD_GLOBAL 0 (range) 2022-11-23T01:37:55.2026362Z 12 LOAD_CONST 3 (-8) 2022-11-23T01:37:55.2026450Z 14 LOAD_CONST 4 (9) 2022-11-23T01:37:55.2026538Z 16 CALL_FUNCTION 2 2022-11-23T01:37:55.2026607Z 18 GET_ITER 2022-11-23T01:37:55.2026687Z 20 CALL_FUNCTION 1 2022-11-23T01:37:55.2026761Z 22 RETURN_VALUE 2022-11-23T01:37:55.2026821Z 2022-11-23T01:37:55.2026826Z 2022-11-23T01:37:55.2027097Z [2022-11-23 01:34:00,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2511 2022-11-23T01:37:55.2027343Z [2022-11-23 01:34:00,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CLOSURE x [] 2022-11-23T01:37:55.2027594Z [2022-11-23 01:34:00,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [NewCellVariable()] 2022-11-23T01:37:55.2027969Z [2022-11-23 01:34:00,990] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST at 0x7fd23719da50, file "inductor/test_torchinductor.py", line 2511> [TupleVariable()] 2022-11-23T01:37:55.2028421Z [2022-11-23 01:34:00,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST CommonTemplate.test_pow1..fn.. [TupleVariable(), ConstantVariable(code)] 2022-11-23T01:37:55.2028783Z [2022-11-23 01:34:00,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 8 [TupleVariable(), ConstantVariable(code), ConstantVariable(str)] 2022-11-23T01:37:55.2029048Z [2022-11-23 01:34:00,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL range [NestedUserFunctionVariable()] 2022-11-23T01:37:55.2029359Z [2022-11-23 01:34:00,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -8 [NestedUserFunctionVariable(), BuiltinVariable(range)] 2022-11-23T01:37:55.2029699Z [2022-11-23 01:34:00,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9 [NestedUserFunctionVariable(), BuiltinVariable(range), ConstantVariable(int)] 2022-11-23T01:37:55.2030082Z [2022-11-23 01:34:00,991] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [NestedUserFunctionVariable(), BuiltinVariable(range), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.2030381Z [2022-11-23 01:34:00,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), RangeVariable()] 2022-11-23T01:37:55.2030697Z [2022-11-23 01:34:00,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2031037Z [2022-11-23 01:34:00,993] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd23719da50, file "inductor/test_torchinductor.py", line 2511> 2022-11-23T01:37:55.2031129Z 2511 0 BUILD_LIST 0 2022-11-23T01:37:55.2031220Z 2 LOAD_FAST 0 (.0) 2022-11-23T01:37:55.2031311Z >> 4 FOR_ITER 16 (to 22) 2022-11-23T01:37:55.2031390Z 6 STORE_FAST 1 (e) 2022-11-23T01:37:55.2031481Z 8 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.2031574Z 10 LOAD_METHOD 1 (pow) 2022-11-23T01:37:55.2031664Z 12 LOAD_DEREF 0 (x) 2022-11-23T01:37:55.2031751Z 14 LOAD_FAST 1 (e) 2022-11-23T01:37:55.2031841Z 16 CALL_METHOD 2 2022-11-23T01:37:55.2031929Z 18 LIST_APPEND 2 2022-11-23T01:37:55.2032006Z 20 JUMP_ABSOLUTE 4 2022-11-23T01:37:55.2032081Z >> 22 RETURN_VALUE 2022-11-23T01:37:55.2032141Z 2022-11-23T01:37:55.2032146Z 2022-11-23T01:37:55.2032363Z [2022-11-23 01:34:00,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [] 2022-11-23T01:37:55.2032600Z [2022-11-23 01:34:00,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()] 2022-11-23T01:37:55.2032874Z [2022-11-23 01:34:00,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2033188Z [2022-11-23 01:34:00,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2033471Z [2022-11-23 01:34:00,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2033832Z [2022-11-23 01:34:00,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.2034182Z [2022-11-23 01:34:00,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)] 2022-11-23T01:37:55.2034530Z [2022-11-23 01:34:00,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()] 2022-11-23T01:37:55.2034917Z [2022-11-23 01:34:00,999] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2035228Z [2022-11-23 01:34:01,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.2035547Z [2022-11-23 01:34:01,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2035824Z [2022-11-23 01:34:01,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2036138Z [2022-11-23 01:34:01,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2036420Z [2022-11-23 01:34:01,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2036789Z [2022-11-23 01:34:01,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.2037111Z [2022-11-23 01:34:01,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)] 2022-11-23T01:37:55.2037456Z [2022-11-23 01:34:01,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()] 2022-11-23T01:37:55.2037831Z [2022-11-23 01:34:01,007] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2038141Z [2022-11-23 01:34:01,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.2038424Z [2022-11-23 01:34:01,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2038699Z [2022-11-23 01:34:01,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2039011Z [2022-11-23 01:34:01,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2039298Z [2022-11-23 01:34:01,009] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2039667Z [2022-11-23 01:34:01,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.2039986Z [2022-11-23 01:34:01,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)] 2022-11-23T01:37:55.2040331Z [2022-11-23 01:34:01,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()] 2022-11-23T01:37:55.2040719Z [2022-11-23 01:34:01,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2041033Z [2022-11-23 01:34:01,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.2041315Z [2022-11-23 01:34:01,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2041607Z [2022-11-23 01:34:01,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2041920Z [2022-11-23 01:34:01,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2042203Z [2022-11-23 01:34:01,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2042577Z [2022-11-23 01:34:01,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.2042929Z [2022-11-23 01:34:01,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)] 2022-11-23T01:37:55.2043277Z [2022-11-23 01:34:01,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()] 2022-11-23T01:37:55.2043662Z [2022-11-23 01:34:01,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2043971Z [2022-11-23 01:34:01,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.2044255Z [2022-11-23 01:34:01,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2044533Z [2022-11-23 01:34:01,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()] 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CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2046846Z [2022-11-23 01:34:01,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.2047130Z [2022-11-23 01:34:01,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2047404Z [2022-11-23 01:34:01,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2047715Z [2022-11-23 01:34:01,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2047997Z [2022-11-23 01:34:01,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2048369Z [2022-11-23 01:34:01,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.2048704Z [2022-11-23 01:34:01,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)] 2022-11-23T01:37:55.2049051Z [2022-11-23 01:34:01,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()] 2022-11-23T01:37:55.2049435Z [2022-11-23 01:34:01,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2049743Z [2022-11-23 01:34:01,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.2050065Z [2022-11-23 01:34:01,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2050340Z [2022-11-23 01:34:01,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2050653Z [2022-11-23 01:34:01,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2050935Z [2022-11-23 01:34:01,037] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2051303Z [2022-11-23 01:34:01,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.2051624Z [2022-11-23 01:34:01,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)] 2022-11-23T01:37:55.2051971Z [2022-11-23 01:34:01,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()] 2022-11-23T01:37:55.2052361Z [2022-11-23 01:34:01,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2052656Z [2022-11-23 01:34:01,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.2052936Z [2022-11-23 01:34:01,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2053210Z [2022-11-23 01:34:01,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2053523Z [2022-11-23 01:34:01,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2053807Z [2022-11-23 01:34:01,044] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2054178Z [2022-11-23 01:34:01,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.2054495Z [2022-11-23 01:34:01,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)] 2022-11-23T01:37:55.2054839Z [2022-11-23 01:34:01,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()] 2022-11-23T01:37:55.2055229Z [2022-11-23 01:34:01,050] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2055538Z [2022-11-23 01:34:01,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.2055822Z [2022-11-23 01:34:01,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2056117Z [2022-11-23 01:34:01,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2056434Z [2022-11-23 01:34:01,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2056720Z [2022-11-23 01:34:01,051] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2057089Z [2022-11-23 01:34:01,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.2057479Z [2022-11-23 01:34:01,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)] 2022-11-23T01:37:55.2057942Z [2022-11-23 01:34:01,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()] 2022-11-23T01:37:55.2058338Z [2022-11-23 01:34:01,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2058649Z [2022-11-23 01:34:01,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.2059128Z [2022-11-23 01:34:01,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2059414Z [2022-11-23 01:34:01,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2059729Z [2022-11-23 01:34:01,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2060001Z [2022-11-23 01:34:01,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2060374Z [2022-11-23 01:34:01,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.2060692Z [2022-11-23 01:34:01,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)] 2022-11-23T01:37:55.2061035Z [2022-11-23 01:34:01,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()] 2022-11-23T01:37:55.2061424Z [2022-11-23 01:34:01,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2061736Z [2022-11-23 01:34:01,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.2062020Z [2022-11-23 01:34:01,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2062293Z [2022-11-23 01:34:01,065] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2062608Z [2022-11-23 01:34:01,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2062895Z [2022-11-23 01:34:01,066] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2063269Z [2022-11-23 01:34:01,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.2063658Z [2022-11-23 01:34:01,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)] 2022-11-23T01:37:55.2063993Z [2022-11-23 01:34:01,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()] 2022-11-23T01:37:55.2064380Z [2022-11-23 01:34:01,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2064695Z [2022-11-23 01:34:01,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.2065021Z [2022-11-23 01:34:01,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2065299Z [2022-11-23 01:34:01,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2065614Z [2022-11-23 01:34:01,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2065897Z [2022-11-23 01:34:01,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2066267Z [2022-11-23 01:34:01,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.2066586Z [2022-11-23 01:34:01,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)] 2022-11-23T01:37:55.2066935Z 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[ListVariable(), ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2068871Z [2022-11-23 01:34:01,080] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2069246Z [2022-11-23 01:34:01,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.2069567Z [2022-11-23 01:34:01,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)] 2022-11-23T01:37:55.2069913Z [2022-11-23 01:34:01,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()] 2022-11-23T01:37:55.2070305Z [2022-11-23 01:34:01,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2070618Z [2022-11-23 01:34:01,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.2070902Z [2022-11-23 01:34:01,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2071215Z [2022-11-23 01:34:01,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2071518Z [2022-11-23 01:34:01,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2071803Z [2022-11-23 01:34:01,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2072175Z [2022-11-23 01:34:01,092] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.2072540Z [2022-11-23 01:34:01,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)] 2022-11-23T01:37:55.2072886Z [2022-11-23 01:34:01,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()] 2022-11-23T01:37:55.2073271Z [2022-11-23 01:34:01,093] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2073581Z [2022-11-23 01:34:01,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.2073863Z [2022-11-23 01:34:01,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2074143Z [2022-11-23 01:34:01,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2074458Z [2022-11-23 01:34:01,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2074742Z [2022-11-23 01:34:01,094] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2075093Z [2022-11-23 01:34:01,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.2075415Z [2022-11-23 01:34:01,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)] 2022-11-23T01:37:55.2075756Z [2022-11-23 01:34:01,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()] 2022-11-23T01:37:55.2076145Z [2022-11-23 01:34:01,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2076457Z [2022-11-23 01:34:01,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.2076739Z [2022-11-23 01:34:01,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2077015Z [2022-11-23 01:34:01,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2077327Z [2022-11-23 01:34:01,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2077608Z [2022-11-23 01:34:01,101] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2077982Z [2022-11-23 01:34:01,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.2078329Z [2022-11-23 01:34:01,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)] 2022-11-23T01:37:55.2078672Z [2022-11-23 01:34:01,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()] 2022-11-23T01:37:55.2079044Z [2022-11-23 01:34:01,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2079352Z [2022-11-23 01:34:01,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.2079666Z [2022-11-23 01:34:01,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2079940Z [2022-11-23 01:34:01,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2080257Z [2022-11-23 01:34:01,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [ListVariable(), ListIteratorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2080540Z [2022-11-23 01:34:01,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2080907Z [2022-11-23 01:34:01,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [ListVariable(), ListIteratorVariable(), TorchVariable()] 2022-11-23T01:37:55.2081226Z [2022-11-23 01:34:01,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF x [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow)] 2022-11-23T01:37:55.2081573Z [2022-11-23 01:34:01,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable()] 2022-11-23T01:37:55.2081960Z [2022-11-23 01:34:01,114] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [ListVariable(), ListIteratorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2082269Z [2022-11-23 01:34:01,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.2082538Z [2022-11-23 01:34:01,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2082814Z [2022-11-23 01:34:01,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 22 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.2083057Z [2022-11-23 01:34:01,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()] 2022-11-23T01:37:55.2083407Z [2022-11-23 01:34:01,115] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd23719da50, file "inductor/test_torchinductor.py", line 2511> 2022-11-23T01:37:55.2083652Z [2022-11-23 01:34:01,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()] 2022-11-23T01:37:55.2083984Z [2022-11-23 01:34:01,115] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.2084226Z [2022-11-23 01:34:01,115] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()] 2022-11-23T01:37:55.2084463Z [2022-11-23 01:34:01,116] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.2084723Z [2022-11-23 01:34:01,118] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.2084977Z [2022-11-23 01:34:01,131] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.2085158Z [2022-11-23 01:34:01,131] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.2085293Z __compiled_fn_330 .2797 opcode, name, target, args, kwargs 2022-11-23T01:37:55.2085382Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.2085569Z call_function, pow_1, aten.pow, (ex_0_, -8), {} 2022-11-23T01:37:55.2085725Z call_function, pow_2, aten.pow, (ex_0_, -7), {} 2022-11-23T01:37:55.2085878Z call_function, pow_3, aten.pow, (ex_0_, -6), {} 2022-11-23T01:37:55.2086028Z call_function, pow_4, aten.pow, (ex_0_, -5), {} 2022-11-23T01:37:55.2086165Z call_function, pow_5, aten.pow, (ex_0_, -4), {} 2022-11-23T01:37:55.2086314Z call_function, pow_6, aten.pow, (ex_0_, -3), {} 2022-11-23T01:37:55.2086462Z call_function, pow_7, aten.pow, (ex_0_, -2), {} 2022-11-23T01:37:55.2086613Z call_function, pow_8, aten.pow, (ex_0_, -1), {} 2022-11-23T01:37:55.2086751Z call_function, pow_9, aten.pow, (ex_0_, 0), {} 2022-11-23T01:37:55.2086850Z call_function, pow_10, aten.pow, (ex_0_, 1), {} 2022-11-23T01:37:55.2086949Z call_function, pow_11, aten.pow, (ex_0_, 2), {} 2022-11-23T01:37:55.2087050Z call_function, pow_12, aten.pow, (ex_0_, 3), {} 2022-11-23T01:37:55.2087137Z call_function, pow_13, aten.pow, (ex_0_, 4), {} 2022-11-23T01:37:55.2087239Z call_function, pow_14, aten.pow, (ex_0_, 5), {} 2022-11-23T01:37:55.2087337Z call_function, pow_15, aten.pow, (ex_0_, 6), {} 2022-11-23T01:37:55.2087436Z call_function, pow_16, aten.pow, (ex_0_, 7), {} 2022-11-23T01:37:55.2087535Z call_function, pow_17, aten.pow, (ex_0_, 8), {} 2022-11-23T01:37:55.2087727Z output, output, output, ((pow_1, pow_2, pow_3, pow_4, pow_5, pow_6, pow_7, pow_8, pow_9, pow_10, pow_11, pow_12, pow_13, pow_14, pow_15, pow_16, pow_17),), {} 2022-11-23T01:37:55.2087737Z 2022-11-23T01:37:55.2088020Z [2022-11-23 01:34:01,132] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2088116Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.2088190Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2088282Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.2088369Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.2088444Z 8 RETURN_VALUE 2022-11-23T01:37:55.2088451Z 2022-11-23T01:37:55.2088513Z 2022-11-23T01:37:55.2088789Z [2022-11-23 01:34:01,132] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2088899Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_330) 2022-11-23T01:37:55.2088974Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2089062Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2089140Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.2089227Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.2089329Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2089433Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2089519Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2089594Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.2089682Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2089770Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.2089845Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.2089945Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2090031Z 26 LOAD_CONST 3 (2) 2022-11-23T01:37:55.2090106Z 28 BINARY_SUBSCR 2022-11-23T01:37:55.2090205Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2090280Z 32 LOAD_CONST 4 (3) 2022-11-23T01:37:55.2090356Z 34 BINARY_SUBSCR 2022-11-23T01:37:55.2090454Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2090541Z 38 LOAD_CONST 5 (4) 2022-11-23T01:37:55.2090614Z 40 BINARY_SUBSCR 2022-11-23T01:37:55.2090713Z 42 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2090799Z 44 LOAD_CONST 6 (5) 2022-11-23T01:37:55.2090861Z 46 BINARY_SUBSCR 2022-11-23T01:37:55.2090987Z 48 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2091076Z 50 LOAD_CONST 7 (6) 2022-11-23T01:37:55.2091152Z 52 BINARY_SUBSCR 2022-11-23T01:37:55.2091249Z 54 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2091333Z 56 LOAD_CONST 8 (7) 2022-11-23T01:37:55.2091406Z 58 BINARY_SUBSCR 2022-11-23T01:37:55.2091491Z 60 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2091576Z 62 LOAD_CONST 9 (8) 2022-11-23T01:37:55.2091649Z 64 BINARY_SUBSCR 2022-11-23T01:37:55.2091778Z 66 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2091864Z 68 LOAD_CONST 10 (9) 2022-11-23T01:37:55.2091938Z 70 BINARY_SUBSCR 2022-11-23T01:37:55.2092036Z 72 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2092113Z 74 LOAD_CONST 11 (10) 2022-11-23T01:37:55.2092186Z 76 BINARY_SUBSCR 2022-11-23T01:37:55.2092283Z 78 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2092369Z 80 LOAD_CONST 12 (11) 2022-11-23T01:37:55.2092441Z 82 BINARY_SUBSCR 2022-11-23T01:37:55.2092539Z 84 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2092626Z 86 LOAD_CONST 13 (12) 2022-11-23T01:37:55.2092687Z 88 BINARY_SUBSCR 2022-11-23T01:37:55.2092783Z 90 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2092871Z 92 LOAD_CONST 14 (13) 2022-11-23T01:37:55.2092944Z 94 BINARY_SUBSCR 2022-11-23T01:37:55.2093042Z 96 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2093128Z 98 LOAD_CONST 15 (14) 2022-11-23T01:37:55.2093201Z 100 BINARY_SUBSCR 2022-11-23T01:37:55.2093299Z 102 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2093374Z 104 LOAD_CONST 16 (15) 2022-11-23T01:37:55.2093447Z 106 BINARY_SUBSCR 2022-11-23T01:37:55.2093544Z 108 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2093630Z 110 LOAD_CONST 17 (16) 2022-11-23T01:37:55.2093702Z 112 BINARY_SUBSCR 2022-11-23T01:37:55.2093786Z 114 BUILD_LIST 17 2022-11-23T01:37:55.2093863Z 116 RETURN_VALUE 2022-11-23T01:37:55.2093869Z 2022-11-23T01:37:55.2093916Z 2022-11-23T01:37:55.2094106Z [2022-11-23 01:34:01,133] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.2094182Z - 2022-11-23T01:37:55.2094303Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.2094369Z { 2022-11-23T01:37:55.2094509Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.2094698Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.2094808Z 'obj_weakref': None 2022-11-23T01:37:55.2095036Z 'guarded_class': 2022-11-23T01:37:55.2095100Z } 2022-11-23T01:37:55.2095163Z 2022-11-23T01:37:55.2095234Z - 2022-11-23T01:37:55.2095359Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.2095421Z { 2022-11-23T01:37:55.2095554Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2095662Z 'code': None, 2022-11-23T01:37:55.2095879Z 'obj_weakref': 2022-11-23T01:37:55.2096140Z 'guarded_class': 2022-11-23T01:37:55.2096203Z } 2022-11-23T01:37:55.2096265Z 2022-11-23T01:37:55.2096336Z - 2022-11-23T01:37:55.2096456Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.2096546Z { 2022-11-23T01:37:55.2096687Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.2096860Z 'code': ['___check_obj_id(model, 140538742291056)'], 2022-11-23T01:37:55.2096981Z 'obj_weakref': None 2022-11-23T01:37:55.2097214Z 'guarded_class': 2022-11-23T01:37:55.2097277Z } 2022-11-23T01:37:55.2097326Z 2022-11-23T01:37:55.2097396Z - 2022-11-23T01:37:55.2097517Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.2097579Z { 2022-11-23T01:37:55.2097751Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.2097970Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.2098091Z 'obj_weakref': None 2022-11-23T01:37:55.2098300Z 'guarded_class': 2022-11-23T01:37:55.2098365Z } 2022-11-23T01:37:55.2098427Z 2022-11-23T01:37:55.2098496Z - 2022-11-23T01:37:55.2098627Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.2098689Z { 2022-11-23T01:37:55.2098989Z 'guard_types': None, 2022-11-23T01:37:55.2099113Z 'code': None, 2022-11-23T01:37:55.2099232Z 'obj_weakref': None 2022-11-23T01:37:55.2099355Z 'guarded_class': None 2022-11-23T01:37:55.2099417Z } 2022-11-23T01:37:55.2099480Z 2022-11-23T01:37:55.2099549Z - 2022-11-23T01:37:55.2099667Z global 'range' BUILTIN_MATCH 2022-11-23T01:37:55.2099734Z { 2022-11-23T01:37:55.2099856Z 'guard_types': None, 2022-11-23T01:37:55.2099966Z 'code': None, 2022-11-23T01:37:55.2100086Z 'obj_weakref': None 2022-11-23T01:37:55.2100208Z 'guarded_class': None 2022-11-23T01:37:55.2100272Z } 2022-11-23T01:37:55.2100323Z 2022-11-23T01:37:55.2100588Z [2022-11-23 01:34:01,152] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 323 2022-11-23T01:37:55.2100962Z [2022-11-23 01:34:02,601] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3g/c3gpjv67rabwnlk6ewfdkwfvxp3t47vyunlzprosefp2jdjj44fe.py 2022-11-23T01:37:55.2101229Z [2022-11-23 01:34:02,601] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 323 2022-11-23T01:37:55.2101236Z 2022-11-23T01:37:55.2101330Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.2101401Z import torch 2022-11-23T01:37:55.2101471Z import random 2022-11-23T01:37:55.2101585Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.2101693Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.2101698Z 2022-11-23T01:37:55.2101775Z aten = torch.ops.aten 2022-11-23T01:37:55.2101906Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.2102001Z async_compile = AsyncCompile() 2022-11-23T01:37:55.2102006Z 2022-11-23T01:37:55.2102010Z 2022-11-23T01:37:55.2102145Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.2102351Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.2102473Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.2102571Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.2102657Z float* __restrict__ out_ptr1, 2022-11-23T01:37:55.2102750Z float* __restrict__ out_ptr2, 2022-11-23T01:37:55.2102844Z float* __restrict__ out_ptr3, 2022-11-23T01:37:55.2102936Z float* __restrict__ out_ptr4, 2022-11-23T01:37:55.2103026Z float* __restrict__ out_ptr5, 2022-11-23T01:37:55.2103115Z float* __restrict__ out_ptr6, 2022-11-23T01:37:55.2103265Z float* __restrict__ out_ptr7, 2022-11-23T01:37:55.2103346Z float* __restrict__ out_ptr8, 2022-11-23T01:37:55.2103440Z float* __restrict__ out_ptr9, 2022-11-23T01:37:55.2103538Z float* __restrict__ out_ptr10, 2022-11-23T01:37:55.2103636Z float* __restrict__ out_ptr11, 2022-11-23T01:37:55.2103732Z float* __restrict__ out_ptr12, 2022-11-23T01:37:55.2103827Z float* __restrict__ out_ptr13, 2022-11-23T01:37:55.2103920Z float* __restrict__ out_ptr14, 2022-11-23T01:37:55.2104014Z float* __restrict__ out_ptr15) 2022-11-23T01:37:55.2104098Z { 2022-11-23T01:37:55.2104180Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:37:55.2104242Z { 2022-11-23T01:37:55.2104391Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.2104483Z auto tmp1 = tmp0.reciprocal(); 2022-11-23T01:37:55.2104567Z auto tmp2 = tmp1 * tmp1; 2022-11-23T01:37:55.2104647Z auto tmp3 = tmp2 * tmp2; 2022-11-23T01:37:55.2104715Z auto tmp4 = tmp3 * tmp3; 2022-11-23T01:37:55.2104794Z auto tmp5 = tmp2 * tmp1; 2022-11-23T01:37:55.2104872Z auto tmp6 = tmp5 * tmp5; 2022-11-23T01:37:55.2104951Z auto tmp7 = tmp6 * tmp1; 2022-11-23T01:37:55.2105030Z auto tmp8 = tmp3 * tmp1; 2022-11-23T01:37:55.2105163Z auto tmp9 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:55.2105248Z auto tmp10 = tmp0 * tmp0; 2022-11-23T01:37:55.2105318Z auto tmp11 = tmp10 * tmp0; 2022-11-23T01:37:55.2105403Z auto tmp12 = tmp10 * tmp10; 2022-11-23T01:37:55.2105483Z auto tmp13 = tmp12 * tmp0; 2022-11-23T01:37:55.2105564Z auto tmp14 = tmp11 * tmp11; 2022-11-23T01:37:55.2105643Z auto tmp15 = tmp14 * tmp0; 2022-11-23T01:37:55.2105723Z auto tmp16 = tmp12 * tmp12; 2022-11-23T01:37:55.2105811Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.2105886Z tmp7.store(out_ptr1 + 8*i0); 2022-11-23T01:37:55.2105970Z tmp6.store(out_ptr2 + 8*i0); 2022-11-23T01:37:55.2106052Z tmp8.store(out_ptr3 + 8*i0); 2022-11-23T01:37:55.2106133Z tmp3.store(out_ptr4 + 8*i0); 2022-11-23T01:37:55.2106215Z tmp5.store(out_ptr5 + 8*i0); 2022-11-23T01:37:55.2106297Z tmp2.store(out_ptr6 + 8*i0); 2022-11-23T01:37:55.2106379Z tmp1.store(out_ptr7 + 8*i0); 2022-11-23T01:37:55.2106449Z tmp9.store(out_ptr8 + 8*i0); 2022-11-23T01:37:55.2106536Z tmp10.store(out_ptr9 + 8*i0); 2022-11-23T01:37:55.2106625Z tmp11.store(out_ptr10 + 8*i0); 2022-11-23T01:37:55.2106715Z tmp12.store(out_ptr11 + 8*i0); 2022-11-23T01:37:55.2106804Z tmp13.store(out_ptr12 + 8*i0); 2022-11-23T01:37:55.2106891Z tmp14.store(out_ptr13 + 8*i0); 2022-11-23T01:37:55.2106976Z tmp15.store(out_ptr14 + 8*i0); 2022-11-23T01:37:55.2107048Z tmp16.store(out_ptr15 + 8*i0); 2022-11-23T01:37:55.2107109Z } 2022-11-23T01:37:55.2107200Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.2107283Z for(long i0=256; i0<256; i0+=1) 2022-11-23T01:37:55.2107346Z { 2022-11-23T01:37:55.2107429Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.2107495Z auto tmp1 = 1 / tmp0; 2022-11-23T01:37:55.2107578Z auto tmp2 = tmp1 * tmp1; 2022-11-23T01:37:55.2107658Z auto tmp3 = tmp2 * tmp2; 2022-11-23T01:37:55.2107737Z auto tmp4 = tmp3 * tmp3; 2022-11-23T01:37:55.2107818Z auto tmp5 = tmp2 * tmp1; 2022-11-23T01:37:55.2107898Z auto tmp6 = tmp5 * tmp5; 2022-11-23T01:37:55.2107978Z auto tmp7 = tmp6 * tmp1; 2022-11-23T01:37:55.2108045Z auto tmp8 = tmp3 * tmp1; 2022-11-23T01:37:55.2108249Z auto tmp9 = static_cast(1); 2022-11-23T01:37:55.2108341Z auto tmp10 = tmp0 * tmp0; 2022-11-23T01:37:55.2108429Z auto tmp11 = tmp10 * tmp0; 2022-11-23T01:37:55.2108513Z auto tmp12 = tmp10 * tmp10; 2022-11-23T01:37:55.2108670Z auto tmp13 = tmp12 * tmp0; 2022-11-23T01:37:55.2108755Z auto tmp14 = tmp11 * tmp11; 2022-11-23T01:37:55.2108824Z auto tmp15 = tmp14 * tmp0; 2022-11-23T01:37:55.2108905Z auto tmp16 = tmp12 * tmp12; 2022-11-23T01:37:55.2108984Z out_ptr0[i0] = tmp4; 2022-11-23T01:37:55.2109062Z out_ptr1[i0] = tmp7; 2022-11-23T01:37:55.2109138Z out_ptr2[i0] = tmp6; 2022-11-23T01:37:55.2109214Z out_ptr3[i0] = tmp8; 2022-11-23T01:37:55.2109288Z out_ptr4[i0] = tmp3; 2022-11-23T01:37:55.2109349Z out_ptr5[i0] = tmp5; 2022-11-23T01:37:55.2109425Z out_ptr6[i0] = tmp2; 2022-11-23T01:37:55.2109531Z out_ptr7[i0] = tmp1; 2022-11-23T01:37:55.2109606Z out_ptr8[i0] = tmp9; 2022-11-23T01:37:55.2109683Z out_ptr9[i0] = tmp10; 2022-11-23T01:37:55.2109764Z out_ptr10[i0] = tmp11; 2022-11-23T01:37:55.2109843Z out_ptr11[i0] = tmp12; 2022-11-23T01:37:55.2109905Z out_ptr12[i0] = tmp13; 2022-11-23T01:37:55.2109981Z out_ptr13[i0] = tmp14; 2022-11-23T01:37:55.2110058Z out_ptr14[i0] = tmp15; 2022-11-23T01:37:55.2110135Z out_ptr15[i0] = tmp16; 2022-11-23T01:37:55.2110199Z } 2022-11-23T01:37:55.2110260Z } 2022-11-23T01:37:55.2110336Z ''') 2022-11-23T01:37:55.2110341Z 2022-11-23T01:37:55.2110360Z 2022-11-23T01:37:55.2110436Z async_compile.wait(globals()) 2022-11-23T01:37:55.2110510Z del async_compile 2022-11-23T01:37:55.2110515Z 2022-11-23T01:37:55.2110586Z def call(args): 2022-11-23T01:37:55.2110657Z arg0_1, = args 2022-11-23T01:37:55.2110730Z args.clear() 2022-11-23T01:37:55.2110938Z buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2111146Z buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2111333Z buf2 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2111529Z buf3 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2111727Z buf4 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2111922Z buf5 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2112118Z buf6 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2112313Z buf7 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2112504Z buf8 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2112693Z buf9 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2112883Z buf10 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2113078Z buf11 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2113275Z buf12 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2113470Z buf13 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2113664Z buf14 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2113857Z buf15 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2114346Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()), c_void_p(buf9.data_ptr()), c_void_p(buf10.data_ptr()), c_void_p(buf11.data_ptr()), c_void_p(buf12.data_ptr()), c_void_p(buf13.data_ptr()), c_void_p(buf14.data_ptr()), c_void_p(buf15.data_ptr())) 2022-11-23T01:37:55.2114511Z return (buf0, buf1, buf2, buf3, buf4, buf5, buf6, buf7, buf8, arg0_1, buf9, buf10, buf11, buf12, buf13, buf14, buf15, ) 2022-11-23T01:37:55.2114517Z 2022-11-23T01:37:55.2114522Z 2022-11-23T01:37:55.2114597Z if __name__ == "__main__": 2022-11-23T01:37:55.2114741Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.2114853Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.2115054Z arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2115162Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.2115167Z 2022-11-23T01:37:55.2115234Z ok (1.622s) 2022-11-23T01:37:55.2115542Z test_pow2_cpu (__main__.CpuTests) ... [2022-11-23 01:34:02,611] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.2115817Z [2022-11-23 01:34:02,611] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.2116085Z [2022-11-23 01:34:02,611] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.2116340Z [2022-11-23 01:34:02,611] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.2116633Z [2022-11-23 01:34:02,611] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.2116950Z [2022-11-23 01:34:02,611] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.2117282Z [2022-11-23 01:34:02,612] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.2117379Z 2520 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.2117473Z 2 LOAD_METHOD 1 (pow) 2022-11-23T01:37:55.2117565Z 4 LOAD_CONST 1 (1000) 2022-11-23T01:37:55.2117653Z 6 LOAD_FAST 0 (x) 2022-11-23T01:37:55.2117740Z 8 CALL_METHOD 2 2022-11-23T01:37:55.2117834Z 10 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.2117913Z 12 LOAD_METHOD 1 (pow) 2022-11-23T01:37:55.2118000Z 14 LOAD_FAST 0 (x) 2022-11-23T01:37:55.2118087Z 16 LOAD_CONST 1 (1000) 2022-11-23T01:37:55.2118174Z 18 CALL_METHOD 2 2022-11-23T01:37:55.2118261Z 20 BUILD_TUPLE 2 2022-11-23T01:37:55.2118337Z 22 RETURN_VALUE 2022-11-23T01:37:55.2118397Z 2022-11-23T01:37:55.2118402Z 2022-11-23T01:37:55.2118662Z [2022-11-23 01:34:02,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2520 2022-11-23T01:37:55.2118884Z [2022-11-23 01:34:02,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.2119189Z [2022-11-23 01:34:02,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [TorchVariable()] 2022-11-23T01:37:55.2119449Z [2022-11-23 01:34:02,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1000 [TorchVariable(aten.pow)] 2022-11-23T01:37:55.2119738Z [2022-11-23 01:34:02,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.pow), ConstantVariable(int)] 2022-11-23T01:37:55.2120061Z [2022-11-23 01:34:02,618] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.pow), ConstantVariable(int), TensorVariable()] 2022-11-23T01:37:55.2120311Z [2022-11-23 01:34:02,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:55.2120642Z [2022-11-23 01:34:02,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.2120920Z [2022-11-23 01:34:02,625] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.pow)] 2022-11-23T01:37:55.2121269Z [2022-11-23 01:34:02,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1000 [TensorVariable(), TorchVariable(aten.pow), TensorVariable()] 2022-11-23T01:37:55.2121622Z [2022-11-23 01:34:02,626] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.pow), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2121884Z [2022-11-23 01:34:02,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2122131Z [2022-11-23 01:34:02,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.2122462Z [2022-11-23 01:34:02,627] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.2122754Z [2022-11-23 01:34:02,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.2122993Z [2022-11-23 01:34:02,627] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.2123254Z [2022-11-23 01:34:02,628] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.2123507Z [2022-11-23 01:34:02,632] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.2123701Z [2022-11-23 01:34:02,632] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.2123836Z __compiled_fn_331 .2803 opcode, name, target, args, kwargs 2022-11-23T01:37:55.2123912Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.2124019Z call_function, pow_1, aten.pow, (1000, ex_0_), {} 2022-11-23T01:37:55.2124124Z call_function, pow_2, aten.pow, (ex_0_, 1000), {} 2022-11-23T01:37:55.2124232Z output, output, output, ((pow_1, pow_2),), {} 2022-11-23T01:37:55.2124238Z 2022-11-23T01:37:55.2124518Z [2022-11-23 01:34:02,632] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2124612Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.2124706Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2124798Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.2124875Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.2124952Z 8 RETURN_VALUE 2022-11-23T01:37:55.2124958Z 2022-11-23T01:37:55.2125019Z 2022-11-23T01:37:55.2125295Z [2022-11-23 01:34:02,632] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2125403Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_331) 2022-11-23T01:37:55.2125492Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2125584Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2125646Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.2125734Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.2125838Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2125938Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2126027Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2126105Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.2126204Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2126290Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.2126353Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.2126439Z 24 BUILD_TUPLE 2 2022-11-23T01:37:55.2126517Z 26 RETURN_VALUE 2022-11-23T01:37:55.2126522Z 2022-11-23T01:37:55.2126581Z 2022-11-23T01:37:55.2126767Z [2022-11-23 01:34:02,633] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.2126841Z - 2022-11-23T01:37:55.2126962Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.2127014Z { 2022-11-23T01:37:55.2127155Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.2127344Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.2127499Z 'obj_weakref': None 2022-11-23T01:37:55.2127727Z 'guarded_class': 2022-11-23T01:37:55.2127790Z } 2022-11-23T01:37:55.2127850Z 2022-11-23T01:37:55.2127908Z - 2022-11-23T01:37:55.2128034Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.2128099Z { 2022-11-23T01:37:55.2128243Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2128352Z 'code': None, 2022-11-23T01:37:55.2128565Z 'obj_weakref': 2022-11-23T01:37:55.2128852Z 'guarded_class': 2022-11-23T01:37:55.2128903Z } 2022-11-23T01:37:55.2128964Z 2022-11-23T01:37:55.2129034Z - 2022-11-23T01:37:55.2129165Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.2129228Z { 2022-11-23T01:37:55.2129367Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.2129540Z 'code': ['___check_obj_id(model, 140538746644240)'], 2022-11-23T01:37:55.2129650Z 'obj_weakref': None 2022-11-23T01:37:55.2129884Z 'guarded_class': 2022-11-23T01:37:55.2129948Z } 2022-11-23T01:37:55.2130010Z 2022-11-23T01:37:55.2130081Z - 2022-11-23T01:37:55.2130204Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.2130267Z { 2022-11-23T01:37:55.2130395Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.2130618Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.2130739Z 'obj_weakref': None 2022-11-23T01:37:55.2130965Z 'guarded_class': 2022-11-23T01:37:55.2131028Z } 2022-11-23T01:37:55.2131091Z 2022-11-23T01:37:55.2131162Z - 2022-11-23T01:37:55.2131281Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.2131345Z { 2022-11-23T01:37:55.2131465Z 'guard_types': None, 2022-11-23T01:37:55.2131575Z 'code': None, 2022-11-23T01:37:55.2131694Z 'obj_weakref': None 2022-11-23T01:37:55.2131819Z 'guarded_class': None 2022-11-23T01:37:55.2131869Z } 2022-11-23T01:37:55.2131931Z 2022-11-23T01:37:55.2132195Z [2022-11-23 01:34:02,639] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 324 2022-11-23T01:37:55.2132566Z [2022-11-23 01:34:04,023] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/d7/cd7a7v3bogyefczb7bx6tp3e2z7ta4kuqdf2lchlkl2zb4e6gizk.py 2022-11-23T01:37:55.2132831Z [2022-11-23 01:34:04,024] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 324 2022-11-23T01:37:55.2132837Z 2022-11-23T01:37:55.2132933Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.2133005Z import torch 2022-11-23T01:37:55.2133074Z import random 2022-11-23T01:37:55.2133176Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.2133296Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.2133301Z 2022-11-23T01:37:55.2133377Z aten = torch.ops.aten 2022-11-23T01:37:55.2133511Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.2133603Z async_compile = AsyncCompile() 2022-11-23T01:37:55.2133608Z 2022-11-23T01:37:55.2133612Z 2022-11-23T01:37:55.2133751Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.2133957Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.2134076Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.2134163Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.2134294Z float* __restrict__ out_ptr1) 2022-11-23T01:37:55.2134357Z { 2022-11-23T01:37:55.2134438Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:37:55.2134498Z { 2022-11-23T01:37:55.2134637Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.2134772Z auto tmp0 = at::vec::Vectorized(static_cast(1000)); 2022-11-23T01:37:55.2134859Z auto tmp2 = tmp0.pow(tmp1); 2022-11-23T01:37:55.2134934Z auto tmp3 = tmp1.pow(tmp0); 2022-11-23T01:37:55.2135020Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.2135106Z tmp3.store(out_ptr1 + 8*i0); 2022-11-23T01:37:55.2135195Z } 2022-11-23T01:37:55.2135283Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.2135361Z for(long i0=256; i0<256; i0+=1) 2022-11-23T01:37:55.2135410Z { 2022-11-23T01:37:55.2135490Z auto tmp1 = in_ptr0[i0]; 2022-11-23T01:37:55.2135587Z auto tmp0 = static_cast(1000); 2022-11-23T01:37:55.2135685Z auto tmp2 = std::pow(tmp0, tmp1); 2022-11-23T01:37:55.2135783Z auto tmp3 = std::pow(tmp1, tmp0); 2022-11-23T01:37:55.2135863Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.2135938Z out_ptr1[i0] = tmp3; 2022-11-23T01:37:55.2135985Z } 2022-11-23T01:37:55.2136041Z } 2022-11-23T01:37:55.2136121Z ''') 2022-11-23T01:37:55.2136126Z 2022-11-23T01:37:55.2136130Z 2022-11-23T01:37:55.2136217Z async_compile.wait(globals()) 2022-11-23T01:37:55.2136289Z del async_compile 2022-11-23T01:37:55.2136294Z 2022-11-23T01:37:55.2136362Z def call(args): 2022-11-23T01:37:55.2136430Z arg0_1, = args 2022-11-23T01:37:55.2136499Z args.clear() 2022-11-23T01:37:55.2136691Z buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2136890Z buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2137052Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:55.2137121Z del arg0_1 2022-11-23T01:37:55.2137199Z return (buf0, buf1, ) 2022-11-23T01:37:55.2137205Z 2022-11-23T01:37:55.2137209Z 2022-11-23T01:37:55.2137284Z if __name__ == "__main__": 2022-11-23T01:37:55.2137396Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.2137517Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.2137706Z arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2137813Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.2137818Z 2022-11-23T01:37:55.2137884Z ok (1.420s) 2022-11-23T01:37:55.2138183Z test_pow3_cpu (__main__.CpuTests) ... [2022-11-23 01:34:04,031] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:37:55.2138460Z [2022-11-23 01:34:04,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2535 2022-11-23T01:37:55.2138684Z [2022-11-23 01:34:04,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.2139346Z [2022-11-23 01:34:04,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable()] 2022-11-23T01:37:55.2139684Z [2022-11-23 01:34:04,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.123 [TorchVariable()] 2022-11-23T01:37:55.2140054Z [2022-11-23 01:34:04,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF self [TorchVariable(), ConstantVariable(float)] 2022-11-23T01:37:55.2140503Z [2022-11-23 01:34:04,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(), ConstantVariable(float), UserDefinedObjectVariable(CpuTests)] 2022-11-23T01:37:55.2140978Z [2022-11-23 01:34:04,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(), ConstantVariable(float), ConstantVariable(str)] 2022-11-23T01:37:55.2141436Z [2022-11-23 01:34:04,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(), ConstantVariable(float), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:37:55.2141679Z [2022-11-23 01:34:04,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST z [TensorVariable()] 2022-11-23T01:37:55.2141949Z [2022-11-23 01:34:04,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2536 2022-11-23T01:37:55.2142207Z [2022-11-23 01:34:04,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST z [] 2022-11-23T01:37:55.2142450Z [2022-11-23 01:34:04,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()] 2022-11-23T01:37:55.2142729Z [2022-11-23 01:34:04,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2142970Z [2022-11-23 01:34:04,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST w [TensorVariable()] 2022-11-23T01:37:55.2143242Z [2022-11-23 01:34:04,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2537 2022-11-23T01:37:55.2143463Z [2022-11-23 01:34:04,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.2143813Z [2022-11-23 01:34:04,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR pow [TorchVariable()] 2022-11-23T01:37:55.2144137Z [2022-11-23 01:34:04,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST w [TorchVariable()] 2022-11-23T01:37:55.2144486Z [2022-11-23 01:34:04,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.5 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.2144880Z [2022-11-23 01:34:04,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:37:55.2145130Z [2022-11-23 01:34:04,036] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.2145364Z [2022-11-23 01:34:04,036] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:37:55.2145608Z [2022-11-23 01:34:04,037] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:37:55.2145852Z [2022-11-23 01:34:04,041] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:37:55.2146045Z [2022-11-23 01:34:04,041] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.2146181Z __compiled_fn_332 .2809 opcode, name, target, args, kwargs 2022-11-23T01:37:55.2146251Z placeholder, x, x, (), {} 2022-11-23T01:37:55.2146510Z call_function, tensor, , (0.123,), {'device': 'cpu'} 2022-11-23T01:37:55.2146690Z call_function, add, , (tensor, x), {} 2022-11-23T01:37:55.2146916Z call_function, pow_1, , (add, 0.5), {} 2022-11-23T01:37:55.2147012Z output, output, output, ((pow_1,),), {} 2022-11-23T01:37:55.2147018Z 2022-11-23T01:37:55.2147297Z [2022-11-23 01:34:04,042] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 2534 2022-11-23T01:37:55.2147394Z 2535 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.2147487Z 2 LOAD_ATTR 1 (tensor) 2022-11-23T01:37:55.2147564Z 4 LOAD_CONST 1 (0.123) 2022-11-23T01:37:55.2147656Z 6 LOAD_DEREF 0 (self) 2022-11-23T01:37:55.2147748Z 8 LOAD_ATTR 2 (device) 2022-11-23T01:37:55.2147932Z 10 LOAD_CONST 2 (('device',)) 2022-11-23T01:37:55.2148027Z 12 CALL_FUNCTION_KW 2 2022-11-23T01:37:55.2148191Z 14 STORE_FAST 1 (z) 2022-11-23T01:37:55.2148199Z 2022-11-23T01:37:55.2148294Z 2536 16 LOAD_FAST 1 (z) 2022-11-23T01:37:55.2148382Z 18 LOAD_FAST 0 (x) 2022-11-23T01:37:55.2148443Z 20 BINARY_ADD 2022-11-23T01:37:55.2148532Z 22 STORE_FAST 2 (w) 2022-11-23T01:37:55.2148538Z 2022-11-23T01:37:55.2148630Z 2537 24 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.2148759Z 26 LOAD_METHOD 3 (pow) 2022-11-23T01:37:55.2148846Z 28 LOAD_FAST 2 (w) 2022-11-23T01:37:55.2148936Z 30 LOAD_CONST 3 (0.5) 2022-11-23T01:37:55.2149025Z 32 CALL_METHOD 2 2022-11-23T01:37:55.2149088Z 34 RETURN_VALUE 2022-11-23T01:37:55.2149109Z 2022-11-23T01:37:55.2149157Z 2022-11-23T01:37:55.2149446Z [2022-11-23 01:34:04,042] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 2534 2022-11-23T01:37:55.2149556Z 2534 0 LOAD_GLOBAL 4 (__compiled_fn_332) 2022-11-23T01:37:55.2149644Z 2 LOAD_FAST 0 (x) 2022-11-23T01:37:55.2149738Z 4 CALL_FUNCTION 1 2022-11-23T01:37:55.2149831Z 6 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.2149907Z 8 RETURN_VALUE 2022-11-23T01:37:55.2149913Z 2022-11-23T01:37:55.2149962Z 2022-11-23T01:37:55.2150150Z [2022-11-23 01:34:04,043] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.2150224Z - 2022-11-23T01:37:55.2150348Z local 'x' TENSOR_MATCH 2022-11-23T01:37:55.2150414Z { 2022-11-23T01:37:55.2150560Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2150674Z 'code': None, 2022-11-23T01:37:55.2150883Z 'obj_weakref': 2022-11-23T01:37:55.2151144Z 'guarded_class': 2022-11-23T01:37:55.2151212Z } 2022-11-23T01:37:55.2151277Z 2022-11-23T01:37:55.2151350Z - 2022-11-23T01:37:55.2151475Z local 'self' TYPE_MATCH 2022-11-23T01:37:55.2151541Z { 2022-11-23T01:37:55.2151669Z 'guard_types': ['TYPE_MATCH'], 2022-11-23T01:37:55.2151840Z 'code': ['___check_type_id(self, 93851493874160)'], 2022-11-23T01:37:55.2152064Z 'obj_weakref': 2022-11-23T01:37:55.2152300Z 'guarded_class': 2022-11-23T01:37:55.2152366Z } 2022-11-23T01:37:55.2152431Z 2022-11-23T01:37:55.2152506Z - 2022-11-23T01:37:55.2152640Z local 'self.device' CONSTANT_MATCH 2022-11-23T01:37:55.2152707Z { 2022-11-23T01:37:55.2152852Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.2153072Z 'code': ['___check_type_id(self.device, 93851402519360)', "self.device == 'cpu'"], 2022-11-23T01:37:55.2159681Z 'obj_weakref': None 2022-11-23T01:37:55.2159973Z 'guarded_class': 2022-11-23T01:37:55.2160041Z } 2022-11-23T01:37:55.2160092Z 2022-11-23T01:37:55.2160169Z - 2022-11-23T01:37:55.2160312Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.2160376Z { 2022-11-23T01:37:55.2160500Z 'guard_types': None, 2022-11-23T01:37:55.2160609Z 'code': None, 2022-11-23T01:37:55.2160716Z 'obj_weakref': None 2022-11-23T01:37:55.2160837Z 'guarded_class': None 2022-11-23T01:37:55.2160977Z } 2022-11-23T01:37:55.2161041Z 2022-11-23T01:37:55.2161317Z [2022-11-23 01:34:04,050] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 325 2022-11-23T01:37:55.2161694Z [2022-11-23 01:34:05,497] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/n7/cn7ix7rzjowagdhv6v7zk5pnur3ok6wjimgi5aqo6heppbscoqz6.py 2022-11-23T01:37:55.2161965Z [2022-11-23 01:34:05,498] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 325 2022-11-23T01:37:55.2161972Z 2022-11-23T01:37:55.2162068Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.2162164Z import torch 2022-11-23T01:37:55.2162232Z import random 2022-11-23T01:37:55.2162348Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.2162468Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.2162473Z 2022-11-23T01:37:55.2162551Z aten = torch.ops.aten 2022-11-23T01:37:55.2162686Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.2162776Z async_compile = AsyncCompile() 2022-11-23T01:37:55.2162781Z 2022-11-23T01:37:55.2162786Z 2022-11-23T01:37:55.2162921Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.2163131Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.2163307Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.2163462Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.2163544Z { 2022-11-23T01:37:55.2163608Z { 2022-11-23T01:37:55.2163670Z { 2022-11-23T01:37:55.2163757Z auto tmp1 = in_ptr0[0]; 2022-11-23T01:37:55.2163855Z auto tmp0 = static_cast(0.12300000339746475); 2022-11-23T01:37:55.2163939Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.2164041Z auto tmp3 = std::sqrt(tmp2); 2022-11-23T01:37:55.2164122Z out_ptr0[0] = tmp3; 2022-11-23T01:37:55.2164183Z } 2022-11-23T01:37:55.2164243Z } 2022-11-23T01:37:55.2164300Z } 2022-11-23T01:37:55.2164369Z ''') 2022-11-23T01:37:55.2164374Z 2022-11-23T01:37:55.2164378Z 2022-11-23T01:37:55.2164467Z async_compile.wait(globals()) 2022-11-23T01:37:55.2164538Z del async_compile 2022-11-23T01:37:55.2164542Z 2022-11-23T01:37:55.2164611Z def call(args): 2022-11-23T01:37:55.2164678Z arg0_1, = args 2022-11-23T01:37:55.2164747Z args.clear() 2022-11-23T01:37:55.2164934Z buf0 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2165055Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.2165125Z del arg0_1 2022-11-23T01:37:55.2165195Z return (buf0, ) 2022-11-23T01:37:55.2165199Z 2022-11-23T01:37:55.2165203Z 2022-11-23T01:37:55.2165278Z if __name__ == "__main__": 2022-11-23T01:37:55.2165390Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.2165511Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.2165702Z arg0_1 = rand_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2165810Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.2165815Z 2022-11-23T01:37:55.2165868Z ok (1.473s) 2022-11-23T01:37:55.2166215Z test_rand_like_deterministic_cpu (__main__.CpuTests) ... [2022-11-23 01:34:05,505] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:37:55.2166642Z [2022-11-23 01:34:05,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3876 2022-11-23T01:37:55.2166957Z [2022-11-23 01:34:05,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.2167343Z [2022-11-23 01:34:05,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR rand_like [TorchVariable()] 2022-11-23T01:37:55.2167727Z [2022-11-23 01:34:05,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:55.2168093Z [2022-11-23 01:34:05,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.2168343Z [2022-11-23 01:34:05,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:37:55.2168747Z [2022-11-23 01:34:05,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR rand_like [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.2169163Z [2022-11-23 01:34:05,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.2169554Z [2022-11-23 01:34:05,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.2169814Z [2022-11-23 01:34:05,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2170062Z [2022-11-23 01:34:05,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.2170297Z [2022-11-23 01:34:05,508] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:37:55.2170545Z [2022-11-23 01:34:05,510] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:37:55.2170791Z [2022-11-23 01:34:05,513] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:37:55.2170984Z [2022-11-23 01:34:05,514] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.2171118Z __compiled_fn_333 .2815 opcode, name, target, args, kwargs 2022-11-23T01:37:55.2171202Z placeholder, a, a, (), {} 2022-11-23T01:37:55.2171341Z call_function, rand_like_3, , (a,), {} 2022-11-23T01:37:55.2171464Z call_function, rand_like_2, , (a,), {} 2022-11-23T01:37:55.2171579Z output, output, output, ((rand_like_3, rand_like_2),), {} 2022-11-23T01:37:55.2171585Z 2022-11-23T01:37:55.2171864Z [2022-11-23 01:34:05,514] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 3874 2022-11-23T01:37:55.2171961Z 3876 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.2172059Z 2 LOAD_METHOD 1 (rand_like) 2022-11-23T01:37:55.2172152Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.2172240Z 6 CALL_METHOD 1 2022-11-23T01:37:55.2172331Z 8 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.2172414Z 10 LOAD_METHOD 1 (rand_like) 2022-11-23T01:37:55.2172506Z 12 LOAD_FAST 0 (a) 2022-11-23T01:37:55.2172593Z 14 CALL_METHOD 1 2022-11-23T01:37:55.2172678Z 16 BUILD_TUPLE 2 2022-11-23T01:37:55.2172754Z 18 RETURN_VALUE 2022-11-23T01:37:55.2172759Z 2022-11-23T01:37:55.2172818Z 2022-11-23T01:37:55.2173097Z [2022-11-23 01:34:05,514] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 3874 2022-11-23T01:37:55.2173192Z 3874 0 LOAD_GLOBAL 2 (__compiled_fn_333) 2022-11-23T01:37:55.2173281Z 2 LOAD_FAST 0 (a) 2022-11-23T01:37:55.2173373Z 4 CALL_FUNCTION 1 2022-11-23T01:37:55.2173475Z 6 STORE_FAST 1 (___graph_out_0) 2022-11-23T01:37:55.2173574Z 8 LOAD_FAST 1 (___graph_out_0) 2022-11-23T01:37:55.2173661Z 10 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2173737Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.2173877Z 14 LOAD_FAST 1 (___graph_out_0) 2022-11-23T01:37:55.2173955Z 16 LOAD_CONST 2 (1) 2022-11-23T01:37:55.2174031Z 18 BINARY_SUBSCR 2022-11-23T01:37:55.2174121Z 20 BUILD_TUPLE 2 2022-11-23T01:37:55.2174194Z 22 RETURN_VALUE 2022-11-23T01:37:55.2174199Z 2022-11-23T01:37:55.2174257Z 2022-11-23T01:37:55.2174444Z [2022-11-23 01:34:05,515] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.2174516Z - 2022-11-23T01:37:55.2174624Z local 'a' TENSOR_MATCH 2022-11-23T01:37:55.2174688Z { 2022-11-23T01:37:55.2174869Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2174979Z 'code': None, 2022-11-23T01:37:55.2175195Z 'obj_weakref': 2022-11-23T01:37:55.2175452Z 'guarded_class': 2022-11-23T01:37:55.2175519Z } 2022-11-23T01:37:55.2175570Z 2022-11-23T01:37:55.2175667Z - 2022-11-23T01:37:55.2175867Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.2175963Z { 2022-11-23T01:37:55.2176153Z 'guard_types': None, 2022-11-23T01:37:55.2176324Z 'code': None, 2022-11-23T01:37:55.2176517Z 'obj_weakref': None 2022-11-23T01:37:55.2176679Z 'guarded_class': None 2022-11-23T01:37:55.2176799Z } 2022-11-23T01:37:55.2176927Z 2022-11-23T01:37:55.2177421Z [2022-11-23 01:34:05,523] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 326 2022-11-23T01:37:55.2177911Z [2022-11-23 01:34:05,524] torch._inductor.lowering: [WARNING] using triton random, expect difference from eager 2022-11-23T01:37:55.2178603Z [2022-11-23 01:34:06,916] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/73/c73tqxffuijqhmqtstj6x73luml3mxgrnb36scpw73l2274oh234.py 2022-11-23T01:37:55.2179111Z [2022-11-23 01:34:06,916] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 326 2022-11-23T01:37:55.2179120Z 2022-11-23T01:37:55.2179217Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.2179274Z import torch 2022-11-23T01:37:55.2179343Z import random 2022-11-23T01:37:55.2179456Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.2179576Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.2179581Z 2022-11-23T01:37:55.2179661Z aten = torch.ops.aten 2022-11-23T01:37:55.2179797Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.2179891Z async_compile = AsyncCompile() 2022-11-23T01:37:55.2180039Z seed_cpu_None = None # 9130db9322feaa41c28986790b86d7dd047e77339ff46fce775dbaa5929b26ce 2022-11-23T01:37:55.2180057Z 2022-11-23T01:37:55.2180062Z 2022-11-23T01:37:55.2180192Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.2180403Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.2180519Z extern "C" void kernel(const long* __restrict__ seed0, 2022-11-23T01:37:55.2180618Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.2180713Z float* __restrict__ out_ptr1) 2022-11-23T01:37:55.2180771Z { 2022-11-23T01:37:55.2180847Z #pragma GCC ivdep 2022-11-23T01:37:55.2180918Z for(long i0=0; i0<1024; i0+=1) 2022-11-23T01:37:55.2180979Z { 2022-11-23T01:37:55.2181040Z { 2022-11-23T01:37:55.2181101Z { 2022-11-23T01:37:55.2181185Z auto tmp0 = seed0[0]; 2022-11-23T01:37:55.2181283Z auto tmp1 = static_cast(i0); 2022-11-23T01:37:55.2181418Z auto tmp2 = static_cast(normalized_rand_cpu(tmp0, tmp1));; 2022-11-23T01:37:55.2181511Z auto tmp3 = static_cast(1024 + i0); 2022-11-23T01:37:55.2181732Z auto tmp4 = static_cast(normalized_rand_cpu(tmp0, tmp3));; 2022-11-23T01:37:55.2181818Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.2181897Z out_ptr1[i0] = tmp4; 2022-11-23T01:37:55.2181960Z } 2022-11-23T01:37:55.2182022Z } 2022-11-23T01:37:55.2182081Z } 2022-11-23T01:37:55.2182128Z } 2022-11-23T01:37:55.2182209Z ''') 2022-11-23T01:37:55.2182214Z 2022-11-23T01:37:55.2182219Z 2022-11-23T01:37:55.2182306Z async_compile.wait(globals()) 2022-11-23T01:37:55.2182378Z del async_compile 2022-11-23T01:37:55.2182384Z 2022-11-23T01:37:55.2182453Z def call(args): 2022-11-23T01:37:55.2182522Z arg0_1, = args 2022-11-23T01:37:55.2182635Z args.clear() 2022-11-23T01:37:55.2182755Z torch.randint(2**31, size=(), dtype=torch.int64, out=seed_cpu_None) 2022-11-23T01:37:55.2182960Z buf0 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2183160Z buf1 = empty_strided((1024, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2183338Z kernel_cpp_0(c_void_p(seed_cpu_None.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:55.2183417Z return (buf0, buf1, ) 2022-11-23T01:37:55.2183422Z 2022-11-23T01:37:55.2183426Z 2022-11-23T01:37:55.2183502Z if __name__ == "__main__": 2022-11-23T01:37:55.2183614Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.2183734Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.2183916Z seed_cpu_None = rand_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.2184115Z arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2184226Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.2184231Z 2022-11-23T01:37:55.2184297Z ok (1.419s) 2022-11-23T01:37:55.2184611Z test_reduction1_cpu (__main__.CpuTests) ... [2022-11-23 01:34:06,924] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.2184885Z [2022-11-23 01:34:06,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.2185109Z [2022-11-23 01:34:06,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.2185366Z [2022-11-23 01:34:06,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.2185656Z [2022-11-23 01:34:06,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.2185968Z [2022-11-23 01:34:06,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.2186297Z [2022-11-23 01:34:06,925] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.2186388Z 772 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.2186484Z 2 LOAD_METHOD 0 (sum) 2022-11-23T01:37:55.2186570Z 4 CALL_METHOD 0 2022-11-23T01:37:55.2186657Z 6 LOAD_FAST 0 (a) 2022-11-23T01:37:55.2186749Z 8 LOAD_METHOD 1 (max) 2022-11-23T01:37:55.2186834Z 10 CALL_METHOD 0 2022-11-23T01:37:55.2186907Z 12 LOAD_FAST 0 (a) 2022-11-23T01:37:55.2186995Z 14 LOAD_METHOD 2 (min) 2022-11-23T01:37:55.2187078Z 16 CALL_METHOD 0 2022-11-23T01:37:55.2187163Z 18 LOAD_FAST 0 (a) 2022-11-23T01:37:55.2187257Z 20 LOAD_METHOD 3 (argmax) 2022-11-23T01:37:55.2187341Z 22 CALL_METHOD 0 2022-11-23T01:37:55.2187427Z 24 LOAD_FAST 0 (a) 2022-11-23T01:37:55.2187505Z 26 LOAD_METHOD 4 (argmin) 2022-11-23T01:37:55.2187588Z 28 CALL_METHOD 0 2022-11-23T01:37:55.2187701Z 30 BUILD_TUPLE 5 2022-11-23T01:37:55.2187779Z 32 RETURN_VALUE 2022-11-23T01:37:55.2187838Z 2022-11-23T01:37:55.2187843Z 2022-11-23T01:37:55.2188186Z [2022-11-23 01:34:06,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:772 2022-11-23T01:37:55.2188409Z [2022-11-23 01:34:06,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.2188656Z [2022-11-23 01:34:06,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()] 2022-11-23T01:37:55.2188926Z [2022-11-23 01:34:06,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:37:55.2189303Z [2022-11-23 01:34:06,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()] 2022-11-23T01:37:55.2189706Z [2022-11-23 01:34:06,926] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2190026Z [2022-11-23 01:34:06,927] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), max)] 2022-11-23T01:37:55.2190294Z [2022-11-23 01:34:06,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2190591Z [2022-11-23 01:34:06,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2190925Z [2022-11-23 01:34:06,928] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), min)] 2022-11-23T01:37:55.2191222Z [2022-11-23 01:34:06,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2191555Z [2022-11-23 01:34:06,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2191926Z [2022-11-23 01:34:06,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax)] 2022-11-23T01:37:55.2192247Z [2022-11-23 01:34:06,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2192589Z [2022-11-23 01:34:06,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2193006Z [2022-11-23 01:34:06,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin)] 2022-11-23T01:37:55.2193351Z [2022-11-23 01:34:06,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2193605Z [2022-11-23 01:34:06,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.2193937Z [2022-11-23 01:34:06,931] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.2194185Z [2022-11-23 01:34:06,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.2194423Z [2022-11-23 01:34:06,931] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.2194683Z [2022-11-23 01:34:06,933] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.2194932Z [2022-11-23 01:34:06,936] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.2195125Z [2022-11-23 01:34:06,937] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.2195300Z __compiled_fn_334 .2821 opcode, name, target, args, kwargs 2022-11-23T01:37:55.2195390Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.2195467Z call_method, sum_1, sum, (ex_0_,), {} 2022-11-23T01:37:55.2195552Z call_method, max_1, max, (ex_0_,), {} 2022-11-23T01:37:55.2195635Z call_method, min_1, min, (ex_0_,), {} 2022-11-23T01:37:55.2195731Z call_method, argmax, argmax, (ex_0_,), {} 2022-11-23T01:37:55.2195825Z call_method, argmin, argmin, (ex_0_,), {} 2022-11-23T01:37:55.2195953Z output, output, output, ((sum_1, max_1, min_1, argmax, argmin),), {} 2022-11-23T01:37:55.2195994Z 2022-11-23T01:37:55.2196276Z [2022-11-23 01:34:06,937] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2196358Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.2196448Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2196539Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.2196636Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.2196715Z 8 RETURN_VALUE 2022-11-23T01:37:55.2196720Z 2022-11-23T01:37:55.2196781Z 2022-11-23T01:37:55.2197057Z [2022-11-23 01:34:06,937] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2197166Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_334) 2022-11-23T01:37:55.2197243Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2197332Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2197410Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.2197503Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.2197606Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2197708Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2197797Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2197863Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.2197964Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2198056Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.2198131Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.2198231Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2198324Z 26 LOAD_CONST 3 (2) 2022-11-23T01:37:55.2198399Z 28 BINARY_SUBSCR 2022-11-23T01:37:55.2198486Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2198575Z 32 LOAD_CONST 4 (3) 2022-11-23T01:37:55.2198653Z 34 BINARY_SUBSCR 2022-11-23T01:37:55.2198755Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2198842Z 38 LOAD_CONST 5 (4) 2022-11-23T01:37:55.2198918Z 40 BINARY_SUBSCR 2022-11-23T01:37:55.2199007Z 42 BUILD_TUPLE 5 2022-11-23T01:37:55.2199072Z 44 RETURN_VALUE 2022-11-23T01:37:55.2199092Z 2022-11-23T01:37:55.2199139Z 2022-11-23T01:37:55.2199327Z [2022-11-23 01:34:06,938] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.2199400Z - 2022-11-23T01:37:55.2199523Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.2199589Z { 2022-11-23T01:37:55.2199734Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.2199912Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.2200037Z 'obj_weakref': None 2022-11-23T01:37:55.2200267Z 'guarded_class': 2022-11-23T01:37:55.2200334Z } 2022-11-23T01:37:55.2200399Z 2022-11-23T01:37:55.2200471Z - 2022-11-23T01:37:55.2200601Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.2200652Z { 2022-11-23T01:37:55.2200798Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2200940Z 'code': None, 2022-11-23T01:37:55.2201159Z 'obj_weakref': 2022-11-23T01:37:55.2201413Z 'guarded_class': 2022-11-23T01:37:55.2201478Z } 2022-11-23T01:37:55.2201543Z 2022-11-23T01:37:55.2201602Z - 2022-11-23T01:37:55.2201736Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.2201801Z { 2022-11-23T01:37:55.2201938Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.2202147Z 'code': ['___check_obj_id(model, 140538747200432)'], 2022-11-23T01:37:55.2202271Z 'obj_weakref': None 2022-11-23T01:37:55.2202507Z 'guarded_class': 2022-11-23T01:37:55.2202573Z } 2022-11-23T01:37:55.2202624Z 2022-11-23T01:37:55.2202696Z - 2022-11-23T01:37:55.2202823Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.2202888Z { 2022-11-23T01:37:55.2203030Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.2203255Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.2203362Z 'obj_weakref': None 2022-11-23T01:37:55.2203588Z 'guarded_class': 2022-11-23T01:37:55.2203654Z } 2022-11-23T01:37:55.2203715Z 2022-11-23T01:37:55.2203979Z [2022-11-23 01:34:06,946] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 327 2022-11-23T01:37:55.2204356Z [2022-11-23 01:34:08,472] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mj/cmjpa6ag4mlrfd32b3wdhcshyijw7e6hsnnbpfcodbiseaxyfouj.py 2022-11-23T01:37:55.2204626Z [2022-11-23 01:34:08,473] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 327 2022-11-23T01:37:55.2204632Z 2022-11-23T01:37:55.2204725Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.2204792Z import torch 2022-11-23T01:37:55.2204848Z import random 2022-11-23T01:37:55.2204960Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.2205082Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.2205088Z 2022-11-23T01:37:55.2205163Z aten = torch.ops.aten 2022-11-23T01:37:55.2205297Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.2205391Z async_compile = AsyncCompile() 2022-11-23T01:37:55.2205399Z 2022-11-23T01:37:55.2205404Z 2022-11-23T01:37:55.2205539Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.2205736Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.2205855Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.2205955Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.2206055Z float* __restrict__ out_ptr1, 2022-11-23T01:37:55.2206152Z float* __restrict__ out_ptr2, 2022-11-23T01:37:55.2206244Z long* __restrict__ out_ptr3, 2022-11-23T01:37:55.2206336Z long* __restrict__ out_ptr4) 2022-11-23T01:37:55.2206397Z { 2022-11-23T01:37:55.2206447Z { 2022-11-23T01:37:55.2206508Z { 2022-11-23T01:37:55.2206586Z float tmp1 = 0; 2022-11-23T01:37:55.2206838Z float tmp2 = -std::numeric_limits::infinity(); 2022-11-23T01:37:55.2206961Z float tmp3 = std::numeric_limits::infinity(); 2022-11-23T01:37:55.2207084Z struct IndexValue_7 {size_t index; float value;}; 2022-11-23T01:37:55.2207307Z IndexValue_7 tmp4{0, -std::numeric_limits::infinity()}; 2022-11-23T01:37:55.2207433Z #pragma omp declare reduction(argmax : struct IndexValue_7 :\ 2022-11-23T01:37:55.2207610Z omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\ 2022-11-23T01:37:55.2207755Z omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\ 2022-11-23T01:37:55.2207991Z initializer(omp_priv = {0, -std::numeric_limits::infinity()}) 2022-11-23T01:37:55.2208108Z struct IndexValue_8 {size_t index; float value;}; 2022-11-23T01:37:55.2208239Z IndexValue_8 tmp5{0, std::numeric_limits::infinity()}; 2022-11-23T01:37:55.2208375Z #pragma omp declare reduction(argmin : struct IndexValue_8 :\ 2022-11-23T01:37:55.2208559Z omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\ 2022-11-23T01:37:55.2208704Z omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\ 2022-11-23T01:37:55.2208835Z initializer(omp_priv = {0, std::numeric_limits::infinity()}) 2022-11-23T01:37:55.2208917Z for(long i0=0; i0<3; i0+=1) 2022-11-23T01:37:55.2208981Z { 2022-11-23T01:37:55.2209046Z { 2022-11-23T01:37:55.2209136Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.2209214Z tmp1 += tmp0; 2022-11-23T01:37:55.2209314Z tmp2 = std::max(tmp2, tmp0); 2022-11-23T01:37:55.2209400Z tmp3 = std::min(tmp3, tmp0); 2022-11-23T01:37:55.2209492Z if (tmp4.value < tmp0) { 2022-11-23T01:37:55.2209597Z tmp4.index = i0; tmp4.value = tmp0; 2022-11-23T01:37:55.2209663Z } 2022-11-23T01:37:55.2209753Z if (tmp5.value > tmp0) { 2022-11-23T01:37:55.2209855Z tmp5.index = i0; tmp5.value = tmp0; 2022-11-23T01:37:55.2209921Z } 2022-11-23T01:37:55.2209971Z } 2022-11-23T01:37:55.2210032Z } 2022-11-23T01:37:55.2210109Z out_ptr0[0] = tmp1; 2022-11-23T01:37:55.2210183Z out_ptr1[0] = tmp2; 2022-11-23T01:37:55.2210261Z out_ptr2[0] = tmp3; 2022-11-23T01:37:55.2210344Z out_ptr3[0] = tmp4.index; 2022-11-23T01:37:55.2210425Z out_ptr4[0] = tmp5.index; 2022-11-23T01:37:55.2210475Z } 2022-11-23T01:37:55.2210536Z } 2022-11-23T01:37:55.2210595Z } 2022-11-23T01:37:55.2210678Z ''') 2022-11-23T01:37:55.2210684Z 2022-11-23T01:37:55.2210688Z 2022-11-23T01:37:55.2210778Z async_compile.wait(globals()) 2022-11-23T01:37:55.2210850Z del async_compile 2022-11-23T01:37:55.2210855Z 2022-11-23T01:37:55.2210922Z def call(args): 2022-11-23T01:37:55.2210977Z arg0_1, = args 2022-11-23T01:37:55.2211049Z args.clear() 2022-11-23T01:37:55.2211238Z buf0 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2211420Z buf1 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2211603Z buf2 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2211785Z buf3 = empty_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.2211965Z buf4 = empty_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.2212201Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr())) 2022-11-23T01:37:55.2212257Z del arg0_1 2022-11-23T01:37:55.2212352Z return (buf0, buf1, buf2, buf3, buf4, ) 2022-11-23T01:37:55.2212358Z 2022-11-23T01:37:55.2212363Z 2022-11-23T01:37:55.2212437Z if __name__ == "__main__": 2022-11-23T01:37:55.2212548Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.2212673Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.2212866Z arg0_1 = rand_strided((3, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2212972Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.2212978Z 2022-11-23T01:37:55.2213042Z ok (1.557s) 2022-11-23T01:37:55.2213373Z test_reduction2_cpu (__main__.CpuTests) ... [2022-11-23 01:34:08,480] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.2213651Z [2022-11-23 01:34:08,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.2213874Z [2022-11-23 01:34:08,480] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.2214130Z [2022-11-23 01:34:08,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.2214419Z [2022-11-23 01:34:08,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.2214835Z [2022-11-23 01:34:08,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.2215167Z [2022-11-23 01:34:08,481] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.2215260Z 779 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.2215355Z 2 LOAD_METHOD 0 (sum) 2022-11-23T01:37:55.2215431Z 4 CALL_METHOD 0 2022-11-23T01:37:55.2215521Z 6 LOAD_FAST 0 (a) 2022-11-23T01:37:55.2215611Z 8 LOAD_METHOD 1 (max) 2022-11-23T01:37:55.2215696Z 10 CALL_METHOD 0 2022-11-23T01:37:55.2215781Z 12 LOAD_FAST 0 (a) 2022-11-23T01:37:55.2215870Z 14 LOAD_METHOD 2 (min) 2022-11-23T01:37:55.2215955Z 16 CALL_METHOD 0 2022-11-23T01:37:55.2216029Z 18 LOAD_FAST 0 (a) 2022-11-23T01:37:55.2216123Z 20 LOAD_METHOD 3 (argmin) 2022-11-23T01:37:55.2216207Z 22 CALL_METHOD 0 2022-11-23T01:37:55.2216295Z 24 BUILD_TUPLE 4 2022-11-23T01:37:55.2216369Z 26 RETURN_VALUE 2022-11-23T01:37:55.2216430Z 2022-11-23T01:37:55.2216435Z 2022-11-23T01:37:55.2216707Z [2022-11-23 01:34:08,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:779 2022-11-23T01:37:55.2216919Z [2022-11-23 01:34:08,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.2217152Z [2022-11-23 01:34:08,481] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()] 2022-11-23T01:37:55.2217435Z [2022-11-23 01:34:08,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:37:55.2217679Z [2022-11-23 01:34:08,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()] 2022-11-23T01:37:55.2217947Z [2022-11-23 01:34:08,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2218257Z [2022-11-23 01:34:08,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), max)] 2022-11-23T01:37:55.2218523Z [2022-11-23 01:34:08,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2218991Z [2022-11-23 01:34:08,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2219333Z [2022-11-23 01:34:08,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), min)] 2022-11-23T01:37:55.2219630Z [2022-11-23 01:34:08,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2219960Z [2022-11-23 01:34:08,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2220372Z [2022-11-23 01:34:08,485] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin)] 2022-11-23T01:37:55.2220706Z [2022-11-23 01:34:08,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2220954Z [2022-11-23 01:34:08,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.2221291Z [2022-11-23 01:34:08,486] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.2221583Z [2022-11-23 01:34:08,486] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.2221822Z [2022-11-23 01:34:08,486] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.2222082Z [2022-11-23 01:34:08,487] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.2222336Z [2022-11-23 01:34:08,491] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.2222529Z [2022-11-23 01:34:08,491] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.2222664Z __compiled_fn_335 .2827 opcode, name, target, args, kwargs 2022-11-23T01:37:55.2222741Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.2222831Z call_method, sum_1, sum, (ex_0_,), {} 2022-11-23T01:37:55.2222918Z call_method, max_1, max, (ex_0_,), {} 2022-11-23T01:37:55.2223005Z call_method, min_1, min, (ex_0_,), {} 2022-11-23T01:37:55.2223099Z call_method, argmin, argmin, (ex_0_,), {} 2022-11-23T01:37:55.2223218Z output, output, output, ((sum_1, max_1, min_1, argmin),), {} 2022-11-23T01:37:55.2223224Z 2022-11-23T01:37:55.2223504Z [2022-11-23 01:34:08,492] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2223599Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.2223676Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2223765Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.2223853Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.2223929Z 8 RETURN_VALUE 2022-11-23T01:37:55.2223934Z 2022-11-23T01:37:55.2223992Z 2022-11-23T01:37:55.2224268Z [2022-11-23 01:34:08,492] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2224379Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_335) 2022-11-23T01:37:55.2224455Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2224542Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2224616Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.2224702Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.2224806Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2224906Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2224994Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2225056Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.2225156Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2225242Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.2225316Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.2225412Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2225499Z 26 LOAD_CONST 3 (2) 2022-11-23T01:37:55.2225574Z 28 BINARY_SUBSCR 2022-11-23T01:37:55.2225671Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2225745Z 32 LOAD_CONST 4 (3) 2022-11-23T01:37:55.2225818Z 34 BINARY_SUBSCR 2022-11-23T01:37:55.2225904Z 36 BUILD_TUPLE 4 2022-11-23T01:37:55.2226006Z 38 RETURN_VALUE 2022-11-23T01:37:55.2226012Z 2022-11-23T01:37:55.2226072Z 2022-11-23T01:37:55.2226259Z [2022-11-23 01:34:08,493] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.2226331Z - 2022-11-23T01:37:55.2226439Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.2226507Z { 2022-11-23T01:37:55.2226650Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.2226841Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.2226961Z 'obj_weakref': None 2022-11-23T01:37:55.2227221Z 'guarded_class': 2022-11-23T01:37:55.2227285Z } 2022-11-23T01:37:55.2227334Z 2022-11-23T01:37:55.2227404Z - 2022-11-23T01:37:55.2227531Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.2227593Z { 2022-11-23T01:37:55.2227739Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2227881Z 'code': None, 2022-11-23T01:37:55.2228249Z 'obj_weakref': 2022-11-23T01:37:55.2228501Z 'guarded_class': 2022-11-23T01:37:55.2228566Z } 2022-11-23T01:37:55.2228629Z 2022-11-23T01:37:55.2228702Z - 2022-11-23T01:37:55.2228835Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.2228899Z { 2022-11-23T01:37:55.2229035Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.2229198Z 'code': ['___check_obj_id(model, 140539049607040)'], 2022-11-23T01:37:55.2229318Z 'obj_weakref': None 2022-11-23T01:37:55.2229553Z 'guarded_class': 2022-11-23T01:37:55.2229617Z } 2022-11-23T01:37:55.2229681Z 2022-11-23T01:37:55.2229754Z - 2022-11-23T01:37:55.2229878Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.2229929Z { 2022-11-23T01:37:55.2230065Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.2230286Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.2230408Z 'obj_weakref': None 2022-11-23T01:37:55.2230630Z 'guarded_class': 2022-11-23T01:37:55.2230691Z } 2022-11-23T01:37:55.2230752Z 2022-11-23T01:37:55.2231006Z [2022-11-23 01:34:08,500] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 328 2022-11-23T01:37:55.2231372Z [2022-11-23 01:34:10,020] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/23/c234uoqdpuawtboe2au57a7sggkqcxd4r4e3tezqlkebdxeqciuj.py 2022-11-23T01:37:55.2231641Z [2022-11-23 01:34:10,021] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 328 2022-11-23T01:37:55.2231647Z 2022-11-23T01:37:55.2231739Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.2231809Z import torch 2022-11-23T01:37:55.2231878Z import random 2022-11-23T01:37:55.2231993Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.2232111Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.2232117Z 2022-11-23T01:37:55.2232182Z aten = torch.ops.aten 2022-11-23T01:37:55.2232315Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.2232409Z async_compile = AsyncCompile() 2022-11-23T01:37:55.2232416Z 2022-11-23T01:37:55.2232421Z 2022-11-23T01:37:55.2232555Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.2232760Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.2232879Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.2233019Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.2233118Z float* __restrict__ out_ptr1, 2022-11-23T01:37:55.2233200Z float* __restrict__ out_ptr2, 2022-11-23T01:37:55.2233293Z long* __restrict__ out_ptr3) 2022-11-23T01:37:55.2233353Z { 2022-11-23T01:37:55.2233413Z { 2022-11-23T01:37:55.2233475Z { 2022-11-23T01:37:55.2233550Z float tmp1 = 0; 2022-11-23T01:37:55.2233772Z float tmp2 = -std::numeric_limits::infinity(); 2022-11-23T01:37:55.2233884Z float tmp3 = std::numeric_limits::infinity(); 2022-11-23T01:37:55.2234035Z struct IndexValue_9 {size_t index; float value;}; 2022-11-23T01:37:55.2234170Z IndexValue_9 tmp4{0, std::numeric_limits::infinity()}; 2022-11-23T01:37:55.2234307Z #pragma omp declare reduction(argmin : struct IndexValue_9 :\ 2022-11-23T01:37:55.2234454Z omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\ 2022-11-23T01:37:55.2234598Z omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\ 2022-11-23T01:37:55.2234741Z initializer(omp_priv = {0, std::numeric_limits::infinity()}) 2022-11-23T01:37:55.2234826Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:55.2234878Z { 2022-11-23T01:37:55.2234942Z { 2022-11-23T01:37:55.2235032Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.2235112Z tmp1 += tmp0; 2022-11-23T01:37:55.2235211Z tmp2 = std::max(tmp2, tmp0); 2022-11-23T01:37:55.2235331Z tmp3 = std::min(tmp3, tmp0); 2022-11-23T01:37:55.2235474Z if (tmp4.value > tmp0) { 2022-11-23T01:37:55.2235574Z tmp4.index = i0; tmp4.value = tmp0; 2022-11-23T01:37:55.2235640Z } 2022-11-23T01:37:55.2235704Z } 2022-11-23T01:37:55.2235770Z } 2022-11-23T01:37:55.2235853Z out_ptr0[0] = tmp1; 2022-11-23T01:37:55.2235932Z out_ptr1[0] = tmp2; 2022-11-23T01:37:55.2236011Z out_ptr2[0] = tmp3; 2022-11-23T01:37:55.2236082Z out_ptr3[0] = tmp4.index; 2022-11-23T01:37:55.2236145Z } 2022-11-23T01:37:55.2236208Z } 2022-11-23T01:37:55.2236268Z } 2022-11-23T01:37:55.2236353Z ''') 2022-11-23T01:37:55.2236359Z 2022-11-23T01:37:55.2236363Z 2022-11-23T01:37:55.2236455Z async_compile.wait(globals()) 2022-11-23T01:37:55.2236530Z del async_compile 2022-11-23T01:37:55.2236535Z 2022-11-23T01:37:55.2236590Z def call(args): 2022-11-23T01:37:55.2236664Z arg0_1, = args 2022-11-23T01:37:55.2236736Z args.clear() 2022-11-23T01:37:55.2236929Z buf0 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2237119Z buf1 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2237301Z buf2 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2237487Z buf3 = empty_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.2237701Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr())) 2022-11-23T01:37:55.2237759Z del arg0_1 2022-11-23T01:37:55.2237851Z return (buf0, buf1, buf2, buf3, ) 2022-11-23T01:37:55.2237856Z 2022-11-23T01:37:55.2237861Z 2022-11-23T01:37:55.2237937Z if __name__ == "__main__": 2022-11-23T01:37:55.2238053Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.2238177Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.2238376Z arg0_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2238495Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.2238504Z 2022-11-23T01:37:55.2238610Z ok (1.548s) 2022-11-23T01:37:55.2239074Z test_reduction3_cpu (__main__.CpuTests) ... [2022-11-23 01:34:10,028] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.2239360Z [2022-11-23 01:34:10,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.2239584Z [2022-11-23 01:34:10,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.2239845Z [2022-11-23 01:34:10,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.2240135Z [2022-11-23 01:34:10,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.2240496Z [2022-11-23 01:34:10,028] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.2240827Z [2022-11-23 01:34:10,029] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.2240923Z 786 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.2241021Z 2 LOAD_METHOD 0 (sum) 2022-11-23T01:37:55.2241096Z 4 CALL_METHOD 0 2022-11-23T01:37:55.2241187Z 6 LOAD_FAST 0 (a) 2022-11-23T01:37:55.2241279Z 8 LOAD_METHOD 1 (max) 2022-11-23T01:37:55.2241365Z 10 CALL_METHOD 0 2022-11-23T01:37:55.2241453Z 12 LOAD_FAST 0 (a) 2022-11-23T01:37:55.2241545Z 14 LOAD_METHOD 2 (min) 2022-11-23T01:37:55.2241630Z 16 CALL_METHOD 0 2022-11-23T01:37:55.2241706Z 18 LOAD_FAST 0 (a) 2022-11-23T01:37:55.2241802Z 20 LOAD_METHOD 3 (argmax) 2022-11-23T01:37:55.2241889Z 22 CALL_METHOD 0 2022-11-23T01:37:55.2241980Z 24 BUILD_TUPLE 4 2022-11-23T01:37:55.2242057Z 26 RETURN_VALUE 2022-11-23T01:37:55.2242122Z 2022-11-23T01:37:55.2242127Z 2022-11-23T01:37:55.2242399Z [2022-11-23 01:34:10,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:786 2022-11-23T01:37:55.2242616Z [2022-11-23 01:34:10,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.2242849Z [2022-11-23 01:34:10,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()] 2022-11-23T01:37:55.2243130Z [2022-11-23 01:34:10,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:37:55.2243374Z [2022-11-23 01:34:10,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()] 2022-11-23T01:37:55.2243645Z [2022-11-23 01:34:10,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2243959Z [2022-11-23 01:34:10,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), max)] 2022-11-23T01:37:55.2244228Z [2022-11-23 01:34:10,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2244524Z [2022-11-23 01:34:10,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2244863Z [2022-11-23 01:34:10,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), min)] 2022-11-23T01:37:55.2245157Z [2022-11-23 01:34:10,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2245492Z [2022-11-23 01:34:10,032] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2245881Z [2022-11-23 01:34:10,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax)] 2022-11-23T01:37:55.2246209Z [2022-11-23 01:34:10,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2246456Z [2022-11-23 01:34:10,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.2246792Z [2022-11-23 01:34:10,034] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.2247075Z [2022-11-23 01:34:10,034] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.2247312Z [2022-11-23 01:34:10,034] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.2247571Z [2022-11-23 01:34:10,035] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.2247824Z [2022-11-23 01:34:10,039] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.2248017Z [2022-11-23 01:34:10,039] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.2248149Z __compiled_fn_336 .2833 opcode, name, target, args, kwargs 2022-11-23T01:37:55.2248227Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.2248318Z call_method, sum_1, sum, (ex_0_,), {} 2022-11-23T01:37:55.2248404Z call_method, max_1, max, (ex_0_,), {} 2022-11-23T01:37:55.2248489Z call_method, min_1, min, (ex_0_,), {} 2022-11-23T01:37:55.2248587Z call_method, argmax, argmax, (ex_0_,), {} 2022-11-23T01:37:55.2248705Z output, output, output, ((sum_1, max_1, min_1, argmax),), {} 2022-11-23T01:37:55.2248710Z 2022-11-23T01:37:55.2248991Z [2022-11-23 01:34:10,040] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2249076Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.2249165Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2249256Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.2249344Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.2249419Z 8 RETURN_VALUE 2022-11-23T01:37:55.2249424Z 2022-11-23T01:37:55.2249484Z 2022-11-23T01:37:55.2249762Z [2022-11-23 01:34:10,040] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2249869Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_336) 2022-11-23T01:37:55.2249949Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2250037Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2250113Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.2250200Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.2250303Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2250404Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2250492Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2250556Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.2250655Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2250742Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.2250816Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.2250916Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2251003Z 26 LOAD_CONST 3 (2) 2022-11-23T01:37:55.2251076Z 28 BINARY_SUBSCR 2022-11-23T01:37:55.2251167Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2251253Z 32 LOAD_CONST 4 (3) 2022-11-23T01:37:55.2251326Z 34 BINARY_SUBSCR 2022-11-23T01:37:55.2251413Z 36 BUILD_TUPLE 4 2022-11-23T01:37:55.2251487Z 38 RETURN_VALUE 2022-11-23T01:37:55.2251493Z 2022-11-23T01:37:55.2251586Z 2022-11-23T01:37:55.2251775Z [2022-11-23 01:34:10,041] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.2251846Z - 2022-11-23T01:37:55.2251954Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.2252017Z { 2022-11-23T01:37:55.2252162Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.2252353Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.2252478Z 'obj_weakref': None 2022-11-23T01:37:55.2252705Z 'guarded_class': 2022-11-23T01:37:55.2252801Z } 2022-11-23T01:37:55.2252850Z 2022-11-23T01:37:55.2252921Z - 2022-11-23T01:37:55.2253047Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.2253110Z { 2022-11-23T01:37:55.2253254Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2253364Z 'code': None, 2022-11-23T01:37:55.2253584Z 'obj_weakref': 2022-11-23T01:37:55.2253827Z 'guarded_class': 2022-11-23T01:37:55.2253893Z } 2022-11-23T01:37:55.2253956Z 2022-11-23T01:37:55.2254026Z - 2022-11-23T01:37:55.2254155Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.2254216Z { 2022-11-23T01:37:55.2254340Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.2254512Z 'code': ['___check_obj_id(model, 140538743844448)'], 2022-11-23T01:37:55.2254634Z 'obj_weakref': None 2022-11-23T01:37:55.2254868Z 'guarded_class': 2022-11-23T01:37:55.2254932Z } 2022-11-23T01:37:55.2254994Z 2022-11-23T01:37:55.2255064Z - 2022-11-23T01:37:55.2255177Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.2255240Z { 2022-11-23T01:37:55.2255376Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.2255595Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.2255715Z 'obj_weakref': None 2022-11-23T01:37:55.2255939Z 'guarded_class': 2022-11-23T01:37:55.2256002Z } 2022-11-23T01:37:55.2256063Z 2022-11-23T01:37:55.2256311Z [2022-11-23 01:34:10,048] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 329 2022-11-23T01:37:55.2256691Z [2022-11-23 01:34:11,413] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3y/c3ye5esiypdb7kbuvjjgsmge37gioushbnidnikswjorl2tc2gfe.py 2022-11-23T01:37:55.2256958Z [2022-11-23 01:34:11,413] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 329 2022-11-23T01:37:55.2256966Z 2022-11-23T01:37:55.2257059Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.2257127Z import torch 2022-11-23T01:37:55.2257196Z import random 2022-11-23T01:37:55.2257310Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.2257432Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.2257437Z 2022-11-23T01:37:55.2257501Z aten = torch.ops.aten 2022-11-23T01:37:55.2257634Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.2257724Z async_compile = AsyncCompile() 2022-11-23T01:37:55.2257729Z 2022-11-23T01:37:55.2257733Z 2022-11-23T01:37:55.2257870Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.2258076Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.2258197Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.2258296Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.2258425Z float* __restrict__ out_ptr1, 2022-11-23T01:37:55.2258508Z float* __restrict__ out_ptr2, 2022-11-23T01:37:55.2258602Z long* __restrict__ out_ptr3) 2022-11-23T01:37:55.2258662Z { 2022-11-23T01:37:55.2258722Z { 2022-11-23T01:37:55.2258949Z { 2022-11-23T01:37:55.2259069Z float tmp1 = 0; 2022-11-23T01:37:55.2259319Z float tmp2 = -std::numeric_limits::infinity(); 2022-11-23T01:37:55.2259431Z float tmp3 = std::numeric_limits::infinity(); 2022-11-23T01:37:55.2259549Z struct IndexValue_10 {size_t index; float value;}; 2022-11-23T01:37:55.2259859Z IndexValue_10 tmp4{0, -std::numeric_limits::infinity()}; 2022-11-23T01:37:55.2259998Z #pragma omp declare reduction(argmax : struct IndexValue_10 :\ 2022-11-23T01:37:55.2260146Z omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\ 2022-11-23T01:37:55.2260295Z omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\ 2022-11-23T01:37:55.2260531Z initializer(omp_priv = {0, -std::numeric_limits::infinity()}) 2022-11-23T01:37:55.2260616Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:55.2260668Z { 2022-11-23T01:37:55.2260732Z { 2022-11-23T01:37:55.2260825Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.2260903Z tmp1 += tmp0; 2022-11-23T01:37:55.2261006Z tmp2 = std::max(tmp2, tmp0); 2022-11-23T01:37:55.2261105Z tmp3 = std::min(tmp3, tmp0); 2022-11-23T01:37:55.2261201Z if (tmp4.value < tmp0) { 2022-11-23T01:37:55.2261295Z tmp4.index = i0; tmp4.value = tmp0; 2022-11-23T01:37:55.2261360Z } 2022-11-23T01:37:55.2261424Z } 2022-11-23T01:37:55.2261487Z } 2022-11-23T01:37:55.2261563Z out_ptr0[0] = tmp1; 2022-11-23T01:37:55.2261640Z out_ptr1[0] = tmp2; 2022-11-23T01:37:55.2261714Z out_ptr2[0] = tmp3; 2022-11-23T01:37:55.2261787Z out_ptr3[0] = tmp4.index; 2022-11-23T01:37:55.2261848Z } 2022-11-23T01:37:55.2261907Z } 2022-11-23T01:37:55.2261965Z } 2022-11-23T01:37:55.2262043Z ''') 2022-11-23T01:37:55.2262048Z 2022-11-23T01:37:55.2262053Z 2022-11-23T01:37:55.2262144Z async_compile.wait(globals()) 2022-11-23T01:37:55.2262215Z del async_compile 2022-11-23T01:37:55.2262219Z 2022-11-23T01:37:55.2262276Z def call(args): 2022-11-23T01:37:55.2262342Z arg0_1, = args 2022-11-23T01:37:55.2262414Z args.clear() 2022-11-23T01:37:55.2262603Z buf0 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2262787Z buf1 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2262968Z buf2 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2263153Z buf3 = empty_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.2263366Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr())) 2022-11-23T01:37:55.2263424Z del arg0_1 2022-11-23T01:37:55.2263510Z return (buf0, buf1, buf2, buf3, ) 2022-11-23T01:37:55.2263515Z 2022-11-23T01:37:55.2263519Z 2022-11-23T01:37:55.2263592Z if __name__ == "__main__": 2022-11-23T01:37:55.2263703Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.2263849Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.2264150Z arg0_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2264264Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.2264269Z 2022-11-23T01:37:55.2264335Z ok (1.392s) 2022-11-23T01:37:55.2264557Z test_reduction4_cpu (__main__.CpuTests) ... skip: Non-deterministic CPU results (0.002s) 2022-11-23T01:37:55.2264955Z test_reflection_pad2d_backward_cpu (__main__.CpuTests) ... [2022-11-23 01:34:11,422] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.2265236Z [2022-11-23 01:34:11,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.2265459Z [2022-11-23 01:34:11,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.2265718Z [2022-11-23 01:34:11,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.2266008Z [2022-11-23 01:34:11,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.2266370Z [2022-11-23 01:34:11,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.2266709Z [2022-11-23 01:34:11,423] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.2266803Z 3040 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.2266910Z 2 LOAD_METHOD 1 (reflection_pad2d_backward) 2022-11-23T01:37:55.2267013Z 4 LOAD_FAST 0 (grad_output) 2022-11-23T01:37:55.2267101Z 6 LOAD_FAST 1 (x) 2022-11-23T01:37:55.2267200Z 8 LOAD_DEREF 0 (padding) 2022-11-23T01:37:55.2267288Z 10 CALL_METHOD 3 2022-11-23T01:37:55.2267362Z 12 RETURN_VALUE 2022-11-23T01:37:55.2267425Z 2022-11-23T01:37:55.2267430Z 2022-11-23T01:37:55.2267701Z [2022-11-23 01:34:11,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3040 2022-11-23T01:37:55.2267908Z [2022-11-23 01:34:11,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.2268332Z [2022-11-23 01:34:11,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reflection_pad2d_backward [TorchVariable()] 2022-11-23T01:37:55.2268646Z [2022-11-23 01:34:11,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST grad_output [TorchVariable(aten.reflection_pad2d_backward)] 2022-11-23T01:37:55.2268960Z [2022-11-23 01:34:11,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.reflection_pad2d_backward), TensorVariable()] 2022-11-23T01:37:55.2269318Z [2022-11-23 01:34:11,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF padding [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2269696Z [2022-11-23 01:34:11,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.2269948Z [2022-11-23 01:34:11,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.2270285Z [2022-11-23 01:34:11,431] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.2270535Z [2022-11-23 01:34:11,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.2270775Z [2022-11-23 01:34:11,431] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.2271021Z [2022-11-23 01:34:11,433] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.2271275Z [2022-11-23 01:34:11,436] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.2271471Z [2022-11-23 01:34:11,437] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.2271607Z __compiled_fn_337 .2839 opcode, name, target, args, kwargs 2022-11-23T01:37:55.2271697Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.2271822Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.2271999Z call_function, reflection_pad2d_backward, aten.reflection_pad2d_backward, (ex_0_, ex_1_, [0, 0, 0, 0]), {} 2022-11-23T01:37:55.2272126Z output, output, output, ((reflection_pad2d_backward,),), {} 2022-11-23T01:37:55.2272132Z 2022-11-23T01:37:55.2272412Z [2022-11-23 01:34:11,437] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2272495Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.2272585Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2272712Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.2272803Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.2272878Z 8 RETURN_VALUE 2022-11-23T01:37:55.2272884Z 2022-11-23T01:37:55.2272945Z 2022-11-23T01:37:55.2273221Z [2022-11-23 01:34:11,437] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2273320Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_337) 2022-11-23T01:37:55.2273408Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2273495Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2273572Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.2273659Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2273744Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.2273819Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.2273906Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.2274000Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2274127Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:55.2274223Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:55.2274312Z 22 CALL_FUNCTION 0 2022-11-23T01:37:55.2274410Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:55.2274509Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2274597Z 28 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2274660Z 30 BINARY_SUBSCR 2022-11-23T01:37:55.2274751Z 32 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.2274847Z 34 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.2274938Z 36 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2275011Z 38 BINARY_SUBSCR 2022-11-23T01:37:55.2275112Z 40 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:55.2275205Z 42 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.2275289Z 44 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.2275375Z 46 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2275448Z 48 BINARY_SUBSCR 2022-11-23T01:37:55.2275547Z 50 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:55.2275623Z 52 RETURN_VALUE 2022-11-23T01:37:55.2275628Z 2022-11-23T01:37:55.2275686Z 2022-11-23T01:37:55.2275875Z [2022-11-23 01:34:11,439] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.2275935Z - 2022-11-23T01:37:55.2276056Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.2276121Z { 2022-11-23T01:37:55.2276265Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.2276455Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.2276576Z 'obj_weakref': None 2022-11-23T01:37:55.2276806Z 'guarded_class': 2022-11-23T01:37:55.2276873Z } 2022-11-23T01:37:55.2276922Z 2022-11-23T01:37:55.2276992Z - 2022-11-23T01:37:55.2277118Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.2277184Z { 2022-11-23T01:37:55.2277367Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2277484Z 'code': None, 2022-11-23T01:37:55.2277687Z 'obj_weakref': 2022-11-23T01:37:55.2277949Z 'guarded_class': 2022-11-23T01:37:55.2278013Z } 2022-11-23T01:37:55.2278078Z 2022-11-23T01:37:55.2278150Z - 2022-11-23T01:37:55.2278278Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.2278345Z { 2022-11-23T01:37:55.2278478Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2278621Z 'code': None, 2022-11-23T01:37:55.2278838Z 'obj_weakref': 2022-11-23T01:37:55.2279097Z 'guarded_class': 2022-11-23T01:37:55.2279162Z } 2022-11-23T01:37:55.2279229Z 2022-11-23T01:37:55.2279304Z - 2022-11-23T01:37:55.2279422Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.2279487Z { 2022-11-23T01:37:55.2279626Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.2279799Z 'code': ['___check_obj_id(model, 140538739671840)'], 2022-11-23T01:37:55.2279922Z 'obj_weakref': None 2022-11-23T01:37:55.2280157Z 'guarded_class': 2022-11-23T01:37:55.2280222Z } 2022-11-23T01:37:55.2280287Z 2022-11-23T01:37:55.2280351Z - 2022-11-23T01:37:55.2280475Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.2280541Z { 2022-11-23T01:37:55.2280682Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.2280903Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.2281027Z 'obj_weakref': None 2022-11-23T01:37:55.2281253Z 'guarded_class': 2022-11-23T01:37:55.2281306Z } 2022-11-23T01:37:55.2281369Z 2022-11-23T01:37:55.2281442Z - 2022-11-23T01:37:55.2281625Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:37:55.2281690Z { 2022-11-23T01:37:55.2281861Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:37:55.2282602Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93851402555296)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[2], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[3], 93851402553120)', 'model.__closure__[0].cell_contents == [0, 0, 0, 0]'], 2022-11-23T01:37:55.2282733Z 'obj_weakref': None 2022-11-23T01:37:55.2282942Z 'guarded_class': 2022-11-23T01:37:55.2283009Z } 2022-11-23T01:37:55.2283072Z 2022-11-23T01:37:55.2283142Z - 2022-11-23T01:37:55.2283334Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:37:55.2283400Z { 2022-11-23T01:37:55.2283547Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.2283820Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents[0] == 0'], 2022-11-23T01:37:55.2283949Z 'obj_weakref': None 2022-11-23T01:37:55.2284175Z 'guarded_class': 2022-11-23T01:37:55.2284241Z } 2022-11-23T01:37:55.2284305Z 2022-11-23T01:37:55.2284374Z - 2022-11-23T01:37:55.2284595Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:37:55.2284648Z { 2022-11-23T01:37:55.2284795Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.2285077Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents[1] == 0'], 2022-11-23T01:37:55.2285199Z 'obj_weakref': None 2022-11-23T01:37:55.2285426Z 'guarded_class': 2022-11-23T01:37:55.2285489Z } 2022-11-23T01:37:55.2285588Z 2022-11-23T01:37:55.2285659Z - 2022-11-23T01:37:55.2285835Z local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH 2022-11-23T01:37:55.2285896Z { 2022-11-23T01:37:55.2286039Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.2286327Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 93851402553120)', 'model.__closure__[0].cell_contents[2] == 0'], 2022-11-23T01:37:55.2286449Z 'obj_weakref': None 2022-11-23T01:37:55.2286671Z 'guarded_class': 2022-11-23T01:37:55.2286734Z } 2022-11-23T01:37:55.2286784Z 2022-11-23T01:37:55.2286853Z - 2022-11-23T01:37:55.2287041Z local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH 2022-11-23T01:37:55.2287103Z { 2022-11-23T01:37:55.2287249Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.2287532Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 93851402553120)', 'model.__closure__[0].cell_contents[3] == 0'], 2022-11-23T01:37:55.2287654Z 'obj_weakref': None 2022-11-23T01:37:55.2287864Z 'guarded_class': 2022-11-23T01:37:55.2287928Z } 2022-11-23T01:37:55.2287992Z 2022-11-23T01:37:55.2288063Z - 2022-11-23T01:37:55.2288195Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.2288260Z { 2022-11-23T01:37:55.2288381Z 'guard_types': None, 2022-11-23T01:37:55.2288477Z 'code': None, 2022-11-23T01:37:55.2288597Z 'obj_weakref': None 2022-11-23T01:37:55.2288720Z 'guarded_class': None 2022-11-23T01:37:55.2288782Z } 2022-11-23T01:37:55.2288842Z 2022-11-23T01:37:55.2289106Z [2022-11-23 01:34:11,444] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 330 2022-11-23T01:37:55.2289473Z [2022-11-23 01:34:12,812] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/23/c23dm5bklkx6ryd44r6hqwt2gbldh7pybaf435id5d7ollmkiu5s.py 2022-11-23T01:37:55.2289739Z [2022-11-23 01:34:12,812] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 330 2022-11-23T01:37:55.2289970Z [2022-11-23 01:34:12,818] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.2290242Z [2022-11-23 01:34:12,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.2290462Z [2022-11-23 01:34:12,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.2290720Z [2022-11-23 01:34:12,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.2291009Z [2022-11-23 01:34:12,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.2291338Z [2022-11-23 01:34:12,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.2291670Z [2022-11-23 01:34:12,819] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.2291795Z 3040 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.2291921Z 2 LOAD_METHOD 1 (reflection_pad2d_backward) 2022-11-23T01:37:55.2292011Z 4 LOAD_FAST 0 (grad_output) 2022-11-23T01:37:55.2292101Z 6 LOAD_FAST 1 (x) 2022-11-23T01:37:55.2292197Z 8 LOAD_DEREF 0 (padding) 2022-11-23T01:37:55.2292284Z 10 CALL_METHOD 3 2022-11-23T01:37:55.2292359Z 12 RETURN_VALUE 2022-11-23T01:37:55.2292417Z 2022-11-23T01:37:55.2292452Z 2022-11-23T01:37:55.2292725Z [2022-11-23 01:34:12,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3040 2022-11-23T01:37:55.2292945Z [2022-11-23 01:34:12,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.2293278Z [2022-11-23 01:34:12,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reflection_pad2d_backward [TorchVariable()] 2022-11-23T01:37:55.2293582Z [2022-11-23 01:34:12,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST grad_output [TorchVariable(aten.reflection_pad2d_backward)] 2022-11-23T01:37:55.2293897Z [2022-11-23 01:34:12,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.reflection_pad2d_backward), TensorVariable()] 2022-11-23T01:37:55.2294251Z [2022-11-23 01:34:12,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF padding [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2294631Z [2022-11-23 01:34:12,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.2294881Z [2022-11-23 01:34:12,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.2295216Z [2022-11-23 01:34:12,827] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.2295466Z [2022-11-23 01:34:12,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.2295704Z [2022-11-23 01:34:12,827] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.2295962Z [2022-11-23 01:34:12,829] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.2296201Z [2022-11-23 01:34:12,832] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.2296396Z [2022-11-23 01:34:12,832] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.2296530Z __compiled_fn_338 .2845 opcode, name, target, args, kwargs 2022-11-23T01:37:55.2296619Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.2296706Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.2296878Z call_function, reflection_pad2d_backward, aten.reflection_pad2d_backward, (ex_0_, ex_1_, [1, 1, 1, 1]), {} 2022-11-23T01:37:55.2297006Z output, output, output, ((reflection_pad2d_backward,),), {} 2022-11-23T01:37:55.2297011Z 2022-11-23T01:37:55.2297288Z [2022-11-23 01:34:12,833] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2297370Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.2297459Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2297550Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.2297641Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.2297716Z 8 RETURN_VALUE 2022-11-23T01:37:55.2297721Z 2022-11-23T01:37:55.2297781Z 2022-11-23T01:37:55.2298056Z [2022-11-23 01:34:12,833] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2298192Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_338) 2022-11-23T01:37:55.2298271Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2298360Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2298434Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.2298522Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2298608Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.2298681Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.2298924Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.2299022Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2299215Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:55.2299310Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:55.2299398Z 22 CALL_FUNCTION 0 2022-11-23T01:37:55.2299494Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:55.2299596Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2299685Z 28 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2299760Z 30 BINARY_SUBSCR 2022-11-23T01:37:55.2299840Z 32 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.2299940Z 34 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.2300028Z 36 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2300104Z 38 BINARY_SUBSCR 2022-11-23T01:37:55.2300204Z 40 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:55.2300295Z 42 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.2300393Z 44 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.2300466Z 46 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2300542Z 48 BINARY_SUBSCR 2022-11-23T01:37:55.2300642Z 50 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:55.2300718Z 52 RETURN_VALUE 2022-11-23T01:37:55.2300727Z 2022-11-23T01:37:55.2300787Z 2022-11-23T01:37:55.2300980Z [2022-11-23 01:34:12,834] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.2301054Z - 2022-11-23T01:37:55.2301162Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.2301225Z { 2022-11-23T01:37:55.2301370Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.2301560Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.2301682Z 'obj_weakref': None 2022-11-23T01:37:55.2301909Z 'guarded_class': 2022-11-23T01:37:55.2301977Z } 2022-11-23T01:37:55.2302027Z 2022-11-23T01:37:55.2302097Z - 2022-11-23T01:37:55.2302225Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.2302290Z { 2022-11-23T01:37:55.2302433Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2302545Z 'code': None, 2022-11-23T01:37:55.2302761Z 'obj_weakref': 2022-11-23T01:37:55.2303002Z 'guarded_class': 2022-11-23T01:37:55.2303066Z } 2022-11-23T01:37:55.2303128Z 2022-11-23T01:37:55.2303200Z - 2022-11-23T01:37:55.2303324Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.2303385Z { 2022-11-23T01:37:55.2303530Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2303629Z 'code': None, 2022-11-23T01:37:55.2303843Z 'obj_weakref': 2022-11-23T01:37:55.2304098Z 'guarded_class': 2022-11-23T01:37:55.2304162Z } 2022-11-23T01:37:55.2304223Z 2022-11-23T01:37:55.2304330Z - 2022-11-23T01:37:55.2304467Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.2304518Z { 2022-11-23T01:37:55.2304654Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.2304825Z 'code': ['___check_obj_id(model, 140538744300752)'], 2022-11-23T01:37:55.2304948Z 'obj_weakref': None 2022-11-23T01:37:55.2305183Z 'guarded_class': 2022-11-23T01:37:55.2305247Z } 2022-11-23T01:37:55.2305307Z 2022-11-23T01:37:55.2305365Z - 2022-11-23T01:37:55.2305539Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.2305603Z { 2022-11-23T01:37:55.2305742Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.2305962Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.2306085Z 'obj_weakref': None 2022-11-23T01:37:55.2306309Z 'guarded_class': 2022-11-23T01:37:55.2306360Z } 2022-11-23T01:37:55.2306421Z 2022-11-23T01:37:55.2306490Z - 2022-11-23T01:37:55.2306669Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:37:55.2306730Z { 2022-11-23T01:37:55.2306901Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:37:55.2307636Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93851402555296)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[2], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[3], 93851402553120)', 'model.__closure__[0].cell_contents == [1, 1, 1, 1]'], 2022-11-23T01:37:55.2307768Z 'obj_weakref': None 2022-11-23T01:37:55.2307993Z 'guarded_class': 2022-11-23T01:37:55.2308045Z } 2022-11-23T01:37:55.2308177Z 2022-11-23T01:37:55.2308256Z - 2022-11-23T01:37:55.2308446Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:37:55.2308510Z { 2022-11-23T01:37:55.2308655Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.2308939Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents[0] == 1'], 2022-11-23T01:37:55.2309051Z 'obj_weakref': None 2022-11-23T01:37:55.2309277Z 'guarded_class': 2022-11-23T01:37:55.2309342Z } 2022-11-23T01:37:55.2309403Z 2022-11-23T01:37:55.2309476Z - 2022-11-23T01:37:55.2309668Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:37:55.2309732Z { 2022-11-23T01:37:55.2309866Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.2310148Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents[1] == 1'], 2022-11-23T01:37:55.2310269Z 'obj_weakref': None 2022-11-23T01:37:55.2310492Z 'guarded_class': 2022-11-23T01:37:55.2310556Z } 2022-11-23T01:37:55.2310618Z 2022-11-23T01:37:55.2310691Z - 2022-11-23T01:37:55.2310865Z local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH 2022-11-23T01:37:55.2310928Z { 2022-11-23T01:37:55.2311072Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.2311388Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 93851402553120)', 'model.__closure__[0].cell_contents[2] == 1'], 2022-11-23T01:37:55.2311513Z 'obj_weakref': None 2022-11-23T01:37:55.2311735Z 'guarded_class': 2022-11-23T01:37:55.2311797Z } 2022-11-23T01:37:55.2311857Z 2022-11-23T01:37:55.2311915Z - 2022-11-23T01:37:55.2312102Z local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH 2022-11-23T01:37:55.2312164Z { 2022-11-23T01:37:55.2312309Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.2312594Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 93851402553120)', 'model.__closure__[0].cell_contents[3] == 1'], 2022-11-23T01:37:55.2312746Z 'obj_weakref': None 2022-11-23T01:37:55.2312971Z 'guarded_class': 2022-11-23T01:37:55.2313022Z } 2022-11-23T01:37:55.2313083Z 2022-11-23T01:37:55.2313154Z - 2022-11-23T01:37:55.2313286Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.2313347Z { 2022-11-23T01:37:55.2313471Z 'guard_types': None, 2022-11-23T01:37:55.2313579Z 'code': None, 2022-11-23T01:37:55.2313685Z 'obj_weakref': None 2022-11-23T01:37:55.2313807Z 'guarded_class': None 2022-11-23T01:37:55.2313872Z } 2022-11-23T01:37:55.2313932Z 2022-11-23T01:37:55.2314196Z [2022-11-23 01:34:12,840] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 331 2022-11-23T01:37:55.2314575Z [2022-11-23 01:34:14,295] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lc/clc5jbtbrzzgwdromvusgzvlibatltvb3ao62s2eqa3umu32yhxz.py 2022-11-23T01:37:55.2314843Z [2022-11-23 01:34:14,296] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 331 2022-11-23T01:37:55.2315072Z [2022-11-23 01:34:14,302] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.2315348Z [2022-11-23 01:34:14,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.2315567Z [2022-11-23 01:34:14,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.2315823Z [2022-11-23 01:34:14,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.2316110Z [2022-11-23 01:34:14,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.2316437Z [2022-11-23 01:34:14,302] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.2316773Z [2022-11-23 01:34:14,303] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.2316872Z 3040 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.2316991Z 2 LOAD_METHOD 1 (reflection_pad2d_backward) 2022-11-23T01:37:55.2317082Z 4 LOAD_FAST 0 (grad_output) 2022-11-23T01:37:55.2317172Z 6 LOAD_FAST 1 (x) 2022-11-23T01:37:55.2317268Z 8 LOAD_DEREF 0 (padding) 2022-11-23T01:37:55.2317356Z 10 CALL_METHOD 3 2022-11-23T01:37:55.2317431Z 12 RETURN_VALUE 2022-11-23T01:37:55.2317492Z 2022-11-23T01:37:55.2317499Z 2022-11-23T01:37:55.2317774Z [2022-11-23 01:34:14,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3040 2022-11-23T01:37:55.2317996Z [2022-11-23 01:34:14,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.2318392Z [2022-11-23 01:34:14,309] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reflection_pad2d_backward [TorchVariable()] 2022-11-23T01:37:55.2318700Z [2022-11-23 01:34:14,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST grad_output [TorchVariable(aten.reflection_pad2d_backward)] 2022-11-23T01:37:55.2319013Z [2022-11-23 01:34:14,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.reflection_pad2d_backward), TensorVariable()] 2022-11-23T01:37:55.2319373Z [2022-11-23 01:34:14,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF padding [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2319782Z [2022-11-23 01:34:14,310] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.reflection_pad2d_backward), TensorVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.2320034Z [2022-11-23 01:34:14,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.2320374Z [2022-11-23 01:34:14,311] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.2320627Z [2022-11-23 01:34:14,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.2320865Z [2022-11-23 01:34:14,311] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.2321122Z [2022-11-23 01:34:14,313] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.2321374Z [2022-11-23 01:34:14,316] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.2321555Z [2022-11-23 01:34:14,316] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.2321692Z __compiled_fn_339 .2851 opcode, name, target, args, kwargs 2022-11-23T01:37:55.2321781Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.2321869Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.2322047Z call_function, reflection_pad2d_backward, aten.reflection_pad2d_backward, (ex_0_, ex_1_, [1, 2, 3, 4]), {} 2022-11-23T01:37:55.2322174Z output, output, output, ((reflection_pad2d_backward,),), {} 2022-11-23T01:37:55.2322179Z 2022-11-23T01:37:55.2322458Z [2022-11-23 01:34:14,316] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2322554Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.2322631Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2322726Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.2322821Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.2322901Z 8 RETURN_VALUE 2022-11-23T01:37:55.2322906Z 2022-11-23T01:37:55.2322970Z 2022-11-23T01:37:55.2323249Z [2022-11-23 01:34:14,317] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2323364Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_339) 2022-11-23T01:37:55.2323456Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2323535Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2323613Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.2323706Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2323794Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.2323868Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.2323959Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.2324065Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2324184Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:55.2324284Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:55.2324372Z 22 CALL_FUNCTION 0 2022-11-23T01:37:55.2324471Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:55.2324605Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2324697Z 28 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2324773Z 30 BINARY_SUBSCR 2022-11-23T01:37:55.2324853Z 32 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.2324953Z 34 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.2325043Z 36 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2325118Z 38 BINARY_SUBSCR 2022-11-23T01:37:55.2325221Z 40 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:55.2325312Z 42 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.2325438Z 44 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.2325515Z 46 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2325592Z 48 BINARY_SUBSCR 2022-11-23T01:37:55.2325693Z 50 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:55.2325769Z 52 RETURN_VALUE 2022-11-23T01:37:55.2325776Z 2022-11-23T01:37:55.2325838Z 2022-11-23T01:37:55.2326033Z [2022-11-23 01:34:14,318] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.2326106Z - 2022-11-23T01:37:55.2326228Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.2326279Z { 2022-11-23T01:37:55.2326421Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.2326614Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.2326739Z 'obj_weakref': None 2022-11-23T01:37:55.2326971Z 'guarded_class': 2022-11-23T01:37:55.2327040Z } 2022-11-23T01:37:55.2327100Z 2022-11-23T01:37:55.2327157Z - 2022-11-23T01:37:55.2327289Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.2327355Z { 2022-11-23T01:37:55.2327503Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2327617Z 'code': None, 2022-11-23T01:37:55.2327834Z 'obj_weakref': 2022-11-23T01:37:55.2328093Z 'guarded_class': 2022-11-23T01:37:55.2328144Z } 2022-11-23T01:37:55.2328208Z 2022-11-23T01:37:55.2328278Z - 2022-11-23T01:37:55.2328401Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.2328464Z { 2022-11-23T01:37:55.2328611Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2328707Z 'code': None, 2022-11-23T01:37:55.2328925Z 'obj_weakref': 2022-11-23T01:37:55.2329182Z 'guarded_class': 2022-11-23T01:37:55.2329244Z } 2022-11-23T01:37:55.2329306Z 2022-11-23T01:37:55.2329383Z - 2022-11-23T01:37:55.2329518Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.2329582Z { 2022-11-23T01:37:55.2329704Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.2329875Z 'code': ['___check_obj_id(model, 140538744183840)'], 2022-11-23T01:37:55.2329995Z 'obj_weakref': None 2022-11-23T01:37:55.2330225Z 'guarded_class': 2022-11-23T01:37:55.2330289Z } 2022-11-23T01:37:55.2330349Z 2022-11-23T01:37:55.2330418Z - 2022-11-23T01:37:55.2330529Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.2330594Z { 2022-11-23T01:37:55.2330730Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.2330947Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.2331066Z 'obj_weakref': None 2022-11-23T01:37:55.2331330Z 'guarded_class': 2022-11-23T01:37:55.2331398Z } 2022-11-23T01:37:55.2331448Z 2022-11-23T01:37:55.2331518Z - 2022-11-23T01:37:55.2331697Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:37:55.2331760Z { 2022-11-23T01:37:55.2331928Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:37:55.2332663Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93851402555296)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[2], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[3], 93851402553120)', 'model.__closure__[0].cell_contents == [1, 2, 3, 4]'], 2022-11-23T01:37:55.2332818Z 'obj_weakref': None 2022-11-23T01:37:55.2333043Z 'guarded_class': 2022-11-23T01:37:55.2333095Z } 2022-11-23T01:37:55.2333158Z 2022-11-23T01:37:55.2333228Z - 2022-11-23T01:37:55.2333416Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:37:55.2333480Z { 2022-11-23T01:37:55.2333626Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.2333914Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents[0] == 1'], 2022-11-23T01:37:55.2334026Z 'obj_weakref': None 2022-11-23T01:37:55.2334252Z 'guarded_class': 2022-11-23T01:37:55.2334316Z } 2022-11-23T01:37:55.2334379Z 2022-11-23T01:37:55.2334449Z - 2022-11-23T01:37:55.2334638Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:37:55.2334700Z { 2022-11-23T01:37:55.2334832Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.2335116Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents[1] == 2'], 2022-11-23T01:37:55.2335235Z 'obj_weakref': None 2022-11-23T01:37:55.2335459Z 'guarded_class': 2022-11-23T01:37:55.2335524Z } 2022-11-23T01:37:55.2335586Z 2022-11-23T01:37:55.2335659Z - 2022-11-23T01:37:55.2335858Z local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH 2022-11-23T01:37:55.2335942Z { 2022-11-23T01:37:55.2336167Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.2336493Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 93851402553120)', 'model.__closure__[0].cell_contents[2] == 3'], 2022-11-23T01:37:55.2336617Z 'obj_weakref': None 2022-11-23T01:37:55.2336838Z 'guarded_class': 2022-11-23T01:37:55.2336902Z } 2022-11-23T01:37:55.2336963Z 2022-11-23T01:37:55.2337021Z - 2022-11-23T01:37:55.2337209Z local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH 2022-11-23T01:37:55.2337271Z { 2022-11-23T01:37:55.2337413Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.2337697Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 93851402553120)', 'model.__closure__[0].cell_contents[3] == 4'], 2022-11-23T01:37:55.2337823Z 'obj_weakref': None 2022-11-23T01:37:55.2338044Z 'guarded_class': 2022-11-23T01:37:55.2338097Z } 2022-11-23T01:37:55.2338160Z 2022-11-23T01:37:55.2338232Z - 2022-11-23T01:37:55.2338407Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.2338474Z { 2022-11-23T01:37:55.2338597Z 'guard_types': None, 2022-11-23T01:37:55.2338705Z 'code': None, 2022-11-23T01:37:55.2338980Z 'obj_weakref': None 2022-11-23T01:37:55.2339150Z 'guarded_class': None 2022-11-23T01:37:55.2339215Z } 2022-11-23T01:37:55.2339280Z 2022-11-23T01:37:55.2339549Z [2022-11-23 01:34:14,324] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 332 2022-11-23T01:37:55.2339558Z 2022-11-23T01:37:55.2339716Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.2339786Z import torch 2022-11-23T01:37:55.2339844Z import random 2022-11-23T01:37:55.2339958Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.2340080Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.2340086Z 2022-11-23T01:37:55.2340165Z aten = torch.ops.aten 2022-11-23T01:37:55.2340299Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.2340392Z async_compile = AsyncCompile() 2022-11-23T01:37:55.2340397Z 2022-11-23T01:37:55.2340401Z 2022-11-23T01:37:55.2340540Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.2340746Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.2340855Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.2340955Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.2341017Z { 2022-11-23T01:37:55.2341094Z #pragma GCC ivdep 2022-11-23T01:37:55.2341180Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.2341242Z { 2022-11-23T01:37:55.2341321Z #pragma GCC ivdep 2022-11-23T01:37:55.2341391Z for(long i1=0; i1<8; i1+=1) 2022-11-23T01:37:55.2341455Z { 2022-11-23T01:37:55.2341519Z { 2022-11-23T01:37:55.2341588Z { 2022-11-23T01:37:55.2341692Z auto tmp0 = static_cast(i0); 2022-11-23T01:37:55.2341790Z auto tmp1 = static_cast(i1); 2022-11-23T01:37:55.2341891Z auto tmp2 = in_ptr0[tmp1 + (8*tmp0)]; 2022-11-23T01:37:55.2341972Z out_ptr0[i1 + (8*i0)] = tmp2; 2022-11-23T01:37:55.2342034Z } 2022-11-23T01:37:55.2342099Z } 2022-11-23T01:37:55.2342162Z } 2022-11-23T01:37:55.2342224Z } 2022-11-23T01:37:55.2342282Z } 2022-11-23T01:37:55.2342363Z ''') 2022-11-23T01:37:55.2342368Z 2022-11-23T01:37:55.2342373Z 2022-11-23T01:37:55.2342449Z async_compile.wait(globals()) 2022-11-23T01:37:55.2342524Z del async_compile 2022-11-23T01:37:55.2342528Z 2022-11-23T01:37:55.2342599Z def call(args): 2022-11-23T01:37:55.2342676Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.2342747Z args.clear() 2022-11-23T01:37:55.2342962Z buf0 = empty_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2343096Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.2343151Z del arg0_1 2022-11-23T01:37:55.2343220Z return (buf0, ) 2022-11-23T01:37:55.2343225Z 2022-11-23T01:37:55.2343228Z 2022-11-23T01:37:55.2343301Z if __name__ == "__main__": 2022-11-23T01:37:55.2343412Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.2343535Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.2343749Z arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2343961Z arg1_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2344076Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.2344081Z 2022-11-23T01:37:55.2344085Z 2022-11-23T01:37:55.2344177Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.2344233Z import torch 2022-11-23T01:37:55.2344301Z import random 2022-11-23T01:37:55.2344457Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.2344579Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.2344583Z 2022-11-23T01:37:55.2344660Z aten = torch.ops.aten 2022-11-23T01:37:55.2344793Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.2344883Z async_compile = AsyncCompile() 2022-11-23T01:37:55.2344888Z 2022-11-23T01:37:55.2344892Z 2022-11-23T01:37:55.2345028Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.2345220Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.2345373Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.2345471Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.2345535Z { 2022-11-23T01:37:55.2345611Z #pragma GCC ivdep 2022-11-23T01:37:55.2345692Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.2345753Z { 2022-11-23T01:37:55.2345817Z #pragma GCC ivdep 2022-11-23T01:37:55.2345898Z for(long i1=0; i1<8; i1+=1) 2022-11-23T01:37:55.2345962Z { 2022-11-23T01:37:55.2346026Z { 2022-11-23T01:37:55.2346089Z { 2022-11-23T01:37:55.2346195Z auto tmp0 = static_cast(1 + i0); 2022-11-23T01:37:55.2346286Z auto tmp1 = static_cast(1 + i1); 2022-11-23T01:37:55.2346388Z auto tmp2 = in_ptr0[tmp1 + (10*tmp0)]; 2022-11-23T01:37:55.2346488Z auto tmp3 = static_cast(i1); 2022-11-23T01:37:55.2346575Z auto tmp4 = tmp3 >= 1; 2022-11-23T01:37:55.2346660Z auto tmp5 = tmp3 <= 1; 2022-11-23T01:37:55.2346752Z auto tmp6 = tmp4 & tmp5; 2022-11-23T01:37:55.2346832Z float tmp7 = 0.0; 2022-11-23T01:37:55.2346901Z if(tmp6) 2022-11-23T01:37:55.2346954Z { 2022-11-23T01:37:55.2347059Z auto tmp8 = static_cast(1 + i0); 2022-11-23T01:37:55.2347234Z auto tmp9 = static_cast(1 + ((-1)*i1)); 2022-11-23T01:37:55.2347341Z auto tmp10 = in_ptr0[tmp9 + (10*tmp8)]; 2022-11-23T01:37:55.2347420Z tmp7 = tmp10; 2022-11-23T01:37:55.2347484Z } 2022-11-23T01:37:55.2347575Z auto tmp11 = tmp2 + tmp7; 2022-11-23T01:37:55.2347653Z auto tmp12 = tmp3 >= 6; 2022-11-23T01:37:55.2347738Z auto tmp13 = tmp3 <= 6; 2022-11-23T01:37:55.2347830Z auto tmp14 = tmp12 & tmp13; 2022-11-23T01:37:55.2347912Z float tmp15 = 0.0; 2022-11-23T01:37:55.2347985Z if(tmp14) 2022-11-23T01:37:55.2348051Z { 2022-11-23T01:37:55.2348265Z auto tmp16 = static_cast(1 + i0); 2022-11-23T01:37:55.2348439Z auto tmp17 = static_cast(15 + ((-1)*i1)); 2022-11-23T01:37:55.2348551Z auto tmp18 = in_ptr0[tmp17 + (10*tmp16)]; 2022-11-23T01:37:55.2348630Z tmp15 = tmp18; 2022-11-23T01:37:55.2348695Z } 2022-11-23T01:37:55.2348787Z auto tmp19 = tmp11 + tmp15; 2022-11-23T01:37:55.2348889Z auto tmp20 = static_cast(i0); 2022-11-23T01:37:55.2348979Z auto tmp21 = tmp20 >= 1; 2022-11-23T01:37:55.2349056Z auto tmp22 = tmp20 <= 1; 2022-11-23T01:37:55.2349146Z auto tmp23 = tmp21 & tmp22; 2022-11-23T01:37:55.2349226Z float tmp24 = 0.0; 2022-11-23T01:37:55.2349299Z if(tmp23) 2022-11-23T01:37:55.2349370Z { 2022-11-23T01:37:55.2349546Z auto tmp25 = static_cast(1 + ((-1)*i0)); 2022-11-23T01:37:55.2349654Z auto tmp26 = static_cast(1 + i1); 2022-11-23T01:37:55.2349749Z auto tmp27 = in_ptr0[tmp26 + (10*tmp25)]; 2022-11-23T01:37:55.2349865Z tmp24 = tmp27; 2022-11-23T01:37:55.2349933Z } 2022-11-23T01:37:55.2350024Z auto tmp28 = tmp19 + tmp24; 2022-11-23T01:37:55.2350112Z auto tmp29 = tmp20 >= 6; 2022-11-23T01:37:55.2350200Z auto tmp30 = tmp20 <= 6; 2022-11-23T01:37:55.2350291Z auto tmp31 = tmp29 & tmp30; 2022-11-23T01:37:55.2350359Z float tmp32 = 0.0; 2022-11-23T01:37:55.2350431Z if(tmp31) 2022-11-23T01:37:55.2350496Z { 2022-11-23T01:37:55.2350672Z auto tmp33 = static_cast(15 + ((-1)*i0)); 2022-11-23T01:37:55.2350825Z auto tmp34 = static_cast(1 + i1); 2022-11-23T01:37:55.2350932Z auto tmp35 = in_ptr0[tmp34 + (10*tmp33)]; 2022-11-23T01:37:55.2351012Z tmp32 = tmp35; 2022-11-23T01:37:55.2351065Z } 2022-11-23T01:37:55.2351157Z auto tmp36 = tmp28 + tmp32; 2022-11-23T01:37:55.2351248Z auto tmp37 = tmp23 & tmp6; 2022-11-23T01:37:55.2351327Z float tmp38 = 0.0; 2022-11-23T01:37:55.2351400Z if(tmp37) 2022-11-23T01:37:55.2351463Z { 2022-11-23T01:37:55.2351638Z auto tmp39 = static_cast(1 + ((-1)*i0)); 2022-11-23T01:37:55.2351810Z auto tmp40 = static_cast(1 + ((-1)*i1)); 2022-11-23T01:37:55.2351904Z auto tmp41 = in_ptr0[tmp40 + (10*tmp39)]; 2022-11-23T01:37:55.2351980Z tmp38 = tmp41; 2022-11-23T01:37:55.2352048Z } 2022-11-23T01:37:55.2352140Z auto tmp42 = tmp36 + tmp38; 2022-11-23T01:37:55.2352232Z auto tmp43 = tmp23 & tmp14; 2022-11-23T01:37:55.2352314Z float tmp44 = 0.0; 2022-11-23T01:37:55.2352387Z if(tmp43) 2022-11-23T01:37:55.2352440Z { 2022-11-23T01:37:55.2352616Z auto tmp45 = static_cast(1 + ((-1)*i0)); 2022-11-23T01:37:55.2352793Z auto tmp46 = static_cast(15 + ((-1)*i1)); 2022-11-23T01:37:55.2352901Z auto tmp47 = in_ptr0[tmp46 + (10*tmp45)]; 2022-11-23T01:37:55.2352978Z tmp44 = tmp47; 2022-11-23T01:37:55.2353044Z } 2022-11-23T01:37:55.2353134Z auto tmp48 = tmp42 + tmp44; 2022-11-23T01:37:55.2353213Z auto tmp49 = tmp31 & tmp6; 2022-11-23T01:37:55.2353293Z float tmp50 = 0.0; 2022-11-23T01:37:55.2353369Z if(tmp49) 2022-11-23T01:37:55.2353436Z { 2022-11-23T01:37:55.2353610Z auto tmp51 = static_cast(15 + ((-1)*i0)); 2022-11-23T01:37:55.2353781Z auto tmp52 = static_cast(1 + ((-1)*i1)); 2022-11-23T01:37:55.2353888Z auto tmp53 = in_ptr0[tmp52 + (10*tmp51)]; 2022-11-23T01:37:55.2353955Z tmp50 = tmp53; 2022-11-23T01:37:55.2354019Z } 2022-11-23T01:37:55.2354109Z auto tmp54 = tmp48 + tmp50; 2022-11-23T01:37:55.2354198Z auto tmp55 = tmp31 & tmp14; 2022-11-23T01:37:55.2354279Z float tmp56 = 0.0; 2022-11-23T01:37:55.2354352Z if(tmp55) 2022-11-23T01:37:55.2354416Z { 2022-11-23T01:37:55.2354579Z auto tmp57 = static_cast(15 + ((-1)*i0)); 2022-11-23T01:37:55.2354751Z auto tmp58 = static_cast(15 + ((-1)*i1)); 2022-11-23T01:37:55.2354860Z auto tmp59 = in_ptr0[tmp58 + (10*tmp57)]; 2022-11-23T01:37:55.2354941Z tmp56 = tmp59; 2022-11-23T01:37:55.2355009Z } 2022-11-23T01:37:55.2355101Z auto tmp60 = tmp54 + tmp56; 2022-11-23T01:37:55.2355227Z out_ptr0[i1 + (8*i0)] = tmp60; 2022-11-23T01:37:55.2355282Z } 2022-11-23T01:37:55.2355347Z } 2022-11-23T01:37:55.2355411Z } 2022-11-23T01:37:55.2355474Z } 2022-11-23T01:37:55.2355535Z } 2022-11-23T01:37:55.2355617Z ''') 2022-11-23T01:37:55.2355623Z 2022-11-23T01:37:55.2355628Z 2022-11-23T01:37:55.2355719Z async_compile.wait(globals()) 2022-11-23T01:37:55.2355780Z del async_compile 2022-11-23T01:37:55.2355798Z 2022-11-23T01:37:55.2355856Z def call(args): 2022-11-23T01:37:55.2355936Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.2356009Z args.clear() 2022-11-23T01:37:55.2356225Z buf0 = empty_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2356393Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.2356459Z del arg0_1 2022-11-23T01:37:55.2356517Z return (buf0, ) 2022-11-23T01:37:55.2356535Z 2022-11-23T01:37:55.2356540Z 2022-11-23T01:37:55.2356602Z if __name__ == "__main__": 2022-11-23T01:37:55.2356718Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.2356843Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.2357068Z arg0_1 = rand_strided((1, 1, 10, 10), (100, 100, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2357286Z arg1_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2357403Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.2357408Z 2022-11-23T01:37:55.2357412Z 2022-11-23T01:37:55.2357506Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.2357580Z import torch 2022-11-23T01:37:55.2357637Z import random 2022-11-23T01:37:55.2357753Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.2357877Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.2357882Z 2022-11-23T01:37:55.2357961Z aten = torch.ops.aten 2022-11-23T01:37:55.2358094Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.2358188Z async_compile = AsyncCompile() 2022-11-23T01:37:55.2358193Z 2022-11-23T01:37:55.2358198Z 2022-11-23T01:37:55.2358335Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.2358541Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.2358649Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.2358749Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.2358812Z { 2022-11-23T01:37:55.2358890Z #pragma GCC ivdep 2022-11-23T01:37:55.2358971Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.2359036Z { 2022-11-23T01:37:55.2359114Z #pragma GCC ivdep 2022-11-23T01:37:55.2359183Z for(long i1=0; i1<8; i1+=1) 2022-11-23T01:37:55.2359248Z { 2022-11-23T01:37:55.2359316Z { 2022-11-23T01:37:55.2359382Z { 2022-11-23T01:37:55.2359489Z auto tmp0 = static_cast(3 + i0); 2022-11-23T01:37:55.2359598Z auto tmp1 = static_cast(1 + i1); 2022-11-23T01:37:55.2359704Z auto tmp2 = in_ptr0[tmp1 + (11*tmp0)]; 2022-11-23T01:37:55.2359792Z auto tmp3 = static_cast(i1); 2022-11-23T01:37:55.2359878Z auto tmp4 = tmp3 >= 1; 2022-11-23T01:37:55.2359966Z auto tmp5 = tmp3 <= 1; 2022-11-23T01:37:55.2360055Z auto tmp6 = tmp4 & tmp5; 2022-11-23T01:37:55.2360135Z float tmp7 = 0.0; 2022-11-23T01:37:55.2360206Z if(tmp6) 2022-11-23T01:37:55.2360274Z { 2022-11-23T01:37:55.2360370Z auto tmp8 = static_cast(3 + i0); 2022-11-23T01:37:55.2360548Z auto tmp9 = static_cast(1 + ((-1)*i1)); 2022-11-23T01:37:55.2360657Z auto tmp10 = in_ptr0[tmp9 + (11*tmp8)]; 2022-11-23T01:37:55.2360737Z tmp7 = tmp10; 2022-11-23T01:37:55.2360802Z } 2022-11-23T01:37:55.2360922Z auto tmp11 = tmp2 + tmp7; 2022-11-23T01:37:55.2361015Z auto tmp12 = tmp3 >= 5; 2022-11-23T01:37:55.2361092Z auto tmp13 = tmp3 <= 6; 2022-11-23T01:37:55.2361184Z auto tmp14 = tmp12 & tmp13; 2022-11-23T01:37:55.2361267Z float tmp15 = 0.0; 2022-11-23T01:37:55.2361338Z if(tmp14) 2022-11-23T01:37:55.2361403Z { 2022-11-23T01:37:55.2361510Z auto tmp16 = static_cast(3 + i0); 2022-11-23T01:37:55.2361688Z auto tmp17 = static_cast(15 + ((-1)*i1)); 2022-11-23T01:37:55.2361816Z auto tmp18 = in_ptr0[tmp17 + (11*tmp16)]; 2022-11-23T01:37:55.2361894Z tmp15 = tmp18; 2022-11-23T01:37:55.2361958Z } 2022-11-23T01:37:55.2362049Z auto tmp19 = tmp11 + tmp15; 2022-11-23T01:37:55.2362151Z auto tmp20 = static_cast(i0); 2022-11-23T01:37:55.2362239Z auto tmp21 = tmp20 >= 1; 2022-11-23T01:37:55.2362326Z auto tmp22 = tmp20 <= 3; 2022-11-23T01:37:55.2362404Z auto tmp23 = tmp21 & tmp22; 2022-11-23T01:37:55.2362485Z float tmp24 = 0.0; 2022-11-23T01:37:55.2362556Z if(tmp23) 2022-11-23T01:37:55.2362622Z { 2022-11-23T01:37:55.2362795Z auto tmp25 = static_cast(3 + ((-1)*i0)); 2022-11-23T01:37:55.2362902Z auto tmp26 = static_cast(1 + i1); 2022-11-23T01:37:55.2363012Z auto tmp27 = in_ptr0[tmp26 + (11*tmp25)]; 2022-11-23T01:37:55.2363078Z tmp24 = tmp27; 2022-11-23T01:37:55.2363142Z } 2022-11-23T01:37:55.2363232Z auto tmp28 = tmp19 + tmp24; 2022-11-23T01:37:55.2363319Z auto tmp29 = tmp20 >= 3; 2022-11-23T01:37:55.2363411Z auto tmp30 = tmp20 <= 6; 2022-11-23T01:37:55.2363503Z auto tmp31 = tmp29 & tmp30; 2022-11-23T01:37:55.2363584Z float tmp32 = 0.0; 2022-11-23T01:37:55.2363644Z if(tmp31) 2022-11-23T01:37:55.2363709Z { 2022-11-23T01:37:55.2363883Z auto tmp33 = static_cast(17 + ((-1)*i0)); 2022-11-23T01:37:55.2363991Z auto tmp34 = static_cast(1 + i1); 2022-11-23T01:37:55.2364095Z auto tmp35 = in_ptr0[tmp34 + (11*tmp33)]; 2022-11-23T01:37:55.2364173Z tmp32 = tmp35; 2022-11-23T01:37:55.2364240Z } 2022-11-23T01:37:55.2364329Z auto tmp36 = tmp28 + tmp32; 2022-11-23T01:37:55.2364410Z auto tmp37 = tmp23 & tmp6; 2022-11-23T01:37:55.2364489Z float tmp38 = 0.0; 2022-11-23T01:37:55.2364560Z if(tmp37) 2022-11-23T01:37:55.2364625Z { 2022-11-23T01:37:55.2364800Z auto tmp39 = static_cast(3 + ((-1)*i0)); 2022-11-23T01:37:55.2364969Z auto tmp40 = static_cast(1 + ((-1)*i1)); 2022-11-23T01:37:55.2365075Z auto tmp41 = in_ptr0[tmp40 + (11*tmp39)]; 2022-11-23T01:37:55.2365141Z tmp38 = tmp41; 2022-11-23T01:37:55.2365206Z } 2022-11-23T01:37:55.2365297Z auto tmp42 = tmp36 + tmp38; 2022-11-23T01:37:55.2365387Z auto tmp43 = tmp23 & tmp14; 2022-11-23T01:37:55.2365468Z float tmp44 = 0.0; 2022-11-23T01:37:55.2365542Z if(tmp43) 2022-11-23T01:37:55.2365608Z { 2022-11-23T01:37:55.2365765Z auto tmp45 = static_cast(3 + ((-1)*i0)); 2022-11-23T01:37:55.2365936Z auto tmp46 = static_cast(15 + ((-1)*i1)); 2022-11-23T01:37:55.2366071Z auto tmp47 = in_ptr0[tmp46 + (11*tmp45)]; 2022-11-23T01:37:55.2366152Z tmp44 = tmp47; 2022-11-23T01:37:55.2366217Z } 2022-11-23T01:37:55.2366307Z auto tmp48 = tmp42 + tmp44; 2022-11-23T01:37:55.2366401Z auto tmp49 = tmp31 & tmp6; 2022-11-23T01:37:55.2366469Z float tmp50 = 0.0; 2022-11-23T01:37:55.2366541Z if(tmp49) 2022-11-23T01:37:55.2366604Z { 2022-11-23T01:37:55.2366777Z auto tmp51 = static_cast(17 + ((-1)*i0)); 2022-11-23T01:37:55.2366947Z auto tmp52 = static_cast(1 + ((-1)*i1)); 2022-11-23T01:37:55.2367084Z auto tmp53 = in_ptr0[tmp52 + (11*tmp51)]; 2022-11-23T01:37:55.2367161Z tmp50 = tmp53; 2022-11-23T01:37:55.2367213Z } 2022-11-23T01:37:55.2367303Z auto tmp54 = tmp48 + tmp50; 2022-11-23T01:37:55.2367393Z auto tmp55 = tmp31 & tmp14; 2022-11-23T01:37:55.2367475Z float tmp56 = 0.0; 2022-11-23T01:37:55.2367546Z if(tmp55) 2022-11-23T01:37:55.2367610Z { 2022-11-23T01:37:55.2367785Z auto tmp57 = static_cast(17 + ((-1)*i0)); 2022-11-23T01:37:55.2367947Z auto tmp58 = static_cast(15 + ((-1)*i1)); 2022-11-23T01:37:55.2368054Z auto tmp59 = in_ptr0[tmp58 + (11*tmp57)]; 2022-11-23T01:37:55.2368131Z tmp56 = tmp59; 2022-11-23T01:37:55.2368195Z } 2022-11-23T01:37:55.2368285Z auto tmp60 = tmp54 + tmp56; 2022-11-23T01:37:55.2368380Z out_ptr0[i1 + (8*i0)] = tmp60; 2022-11-23T01:37:55.2368444Z } 2022-11-23T01:37:55.2368494Z } 2022-11-23T01:37:55.2368556Z } 2022-11-23T01:37:55.2368617Z } 2022-11-23T01:37:55.2368677Z } 2022-11-23T01:37:55.2368756Z ''') 2022-11-23T01:37:55.2368763Z 2022-11-23T01:37:55.2368770Z 2022-11-23T01:37:55.2368858Z async_compile.wait(globals()) 2022-11-23T01:37:55.2368928Z del async_compile 2022-11-23T01:37:55.2368933Z 2022-11-23T01:37:55.2369002Z def call(args): 2022-11-23T01:37:55.2369065Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.2369134Z args.clear() 2022-11-23T01:37:55.2369350Z buf0 = empty_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2369482Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.2369553Z del arg0_1 2022-11-23T01:37:55.2369623Z return (buf0, ) 2022-11-23T01:37:55.2369630Z 2022-11-23T01:37:55.2369635Z 2022-11-23T01:37:55.2369711Z if __name__ == "__main__": 2022-11-23T01:37:55.2369812Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.2369935Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.2370158Z arg0_1 = rand_strided((1, 1, 15, 11), (165, 165, 11, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2370376Z arg1_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2370490Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.2370873Z [2022-11-23 01:34:15,768] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6k/c6kxd7faqylag5xpodzcyovhf4coc2gdfhfyhcqdxfwtsh4wj3az.py 2022-11-23T01:37:55.2371143Z [2022-11-23 01:34:15,768] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 332 2022-11-23T01:37:55.2371149Z 2022-11-23T01:37:55.2371216Z ok (4.353s) 2022-11-23T01:37:55.2371540Z test_reflection_pad2d_cpu (__main__.CpuTests) ... [2022-11-23 01:34:15,776] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.2371798Z [2022-11-23 01:34:15,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.2372051Z [2022-11-23 01:34:15,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.2372312Z [2022-11-23 01:34:15,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.2372601Z [2022-11-23 01:34:15,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.2372929Z [2022-11-23 01:34:15,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.2373264Z [2022-11-23 01:34:15,776] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.2373388Z 3029 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.2373496Z 2 LOAD_METHOD 1 (reflection_pad2d) 2022-11-23T01:37:55.2373587Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.2373664Z 6 LOAD_CONST 1 (1) 2022-11-23T01:37:55.2373754Z 8 LOAD_CONST 1 (1) 2022-11-23T01:37:55.2373844Z 10 LOAD_CONST 1 (1) 2022-11-23T01:37:55.2373930Z 12 LOAD_CONST 1 (1) 2022-11-23T01:37:55.2374015Z 14 BUILD_LIST 4 2022-11-23T01:37:55.2374102Z 16 CALL_METHOD 2 2022-11-23T01:37:55.2374107Z 2022-11-23T01:37:55.2374197Z 3030 18 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.2374293Z 20 LOAD_METHOD 1 (reflection_pad2d) 2022-11-23T01:37:55.2374380Z 22 LOAD_FAST 0 (a) 2022-11-23T01:37:55.2374467Z 24 LOAD_CONST 1 (1) 2022-11-23T01:37:55.2374552Z 26 LOAD_CONST 2 (2) 2022-11-23T01:37:55.2374637Z 28 LOAD_CONST 3 (3) 2022-11-23T01:37:55.2374720Z 30 LOAD_CONST 4 (4) 2022-11-23T01:37:55.2374808Z 32 BUILD_LIST 4 2022-11-23T01:37:55.2374894Z 34 CALL_METHOD 2 2022-11-23T01:37:55.2374968Z 36 BUILD_TUPLE 2 2022-11-23T01:37:55.2375043Z 38 RETURN_VALUE 2022-11-23T01:37:55.2375102Z 2022-11-23T01:37:55.2375107Z 2022-11-23T01:37:55.2375382Z [2022-11-23 01:34:15,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3029 2022-11-23T01:37:55.2375602Z [2022-11-23 01:34:15,776] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.2375931Z [2022-11-23 01:34:15,782] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reflection_pad2d [TorchVariable()] 2022-11-23T01:37:55.2376210Z [2022-11-23 01:34:15,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.reflection_pad2d)] 2022-11-23T01:37:55.2376516Z [2022-11-23 01:34:15,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.reflection_pad2d), TensorVariable()] 2022-11-23T01:37:55.2376861Z [2022-11-23 01:34:15,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.reflection_pad2d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2377224Z [2022-11-23 01:34:15,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.reflection_pad2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.2377643Z [2022-11-23 01:34:15,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.reflection_pad2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.2378097Z [2022-11-23 01:34:15,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 4 [TorchVariable(aten.reflection_pad2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.2378468Z [2022-11-23 01:34:15,783] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.reflection_pad2d), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.2378875Z [2022-11-23 01:34:15,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3030 2022-11-23T01:37:55.2379165Z [2022-11-23 01:34:15,784] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:55.2379521Z [2022-11-23 01:34:15,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reflection_pad2d [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.2379885Z [2022-11-23 01:34:15,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.reflection_pad2d)] 2022-11-23T01:37:55.2380216Z [2022-11-23 01:34:15,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.reflection_pad2d), TensorVariable()] 2022-11-23T01:37:55.2380584Z [2022-11-23 01:34:15,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.reflection_pad2d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2380990Z [2022-11-23 01:34:15,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(aten.reflection_pad2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.2381438Z [2022-11-23 01:34:15,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable(), TorchVariable(aten.reflection_pad2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.2381921Z [2022-11-23 01:34:15,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 4 [TensorVariable(), TorchVariable(aten.reflection_pad2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.2382273Z [2022-11-23 01:34:15,790] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.reflection_pad2d), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.2382547Z [2022-11-23 01:34:15,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2382795Z [2022-11-23 01:34:15,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.2383130Z [2022-11-23 01:34:15,791] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.2383382Z [2022-11-23 01:34:15,791] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.2383620Z [2022-11-23 01:34:15,792] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.2383876Z [2022-11-23 01:34:15,793] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.2384132Z [2022-11-23 01:34:15,796] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.2384326Z [2022-11-23 01:34:15,797] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.2384459Z __compiled_fn_340 .2857 opcode, name, target, args, kwargs 2022-11-23T01:37:55.2384537Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.2384681Z call_function, reflection_pad2d, aten.reflection_pad2d, (ex_0_, [1, 1, 1, 1]), {} 2022-11-23T01:37:55.2384826Z call_function, reflection_pad2d_1, aten.reflection_pad2d, (ex_0_, [1, 2, 3, 4]), {} 2022-11-23T01:37:55.2384963Z output, output, output, ((reflection_pad2d, reflection_pad2d_1),), {} 2022-11-23T01:37:55.2384969Z 2022-11-23T01:37:55.2385248Z [2022-11-23 01:34:15,797] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2385341Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.2385472Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2385569Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.2385646Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.2385721Z 8 RETURN_VALUE 2022-11-23T01:37:55.2385727Z 2022-11-23T01:37:55.2385786Z 2022-11-23T01:37:55.2386063Z [2022-11-23 01:34:15,797] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2386172Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_340) 2022-11-23T01:37:55.2386261Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2386385Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2386449Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.2386537Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.2386640Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2386739Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2386829Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2386904Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.2387003Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2387091Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.2387154Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.2387241Z 24 BUILD_TUPLE 2 2022-11-23T01:37:55.2387316Z 26 RETURN_VALUE 2022-11-23T01:37:55.2387320Z 2022-11-23T01:37:55.2387379Z 2022-11-23T01:37:55.2387569Z [2022-11-23 01:34:15,798] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.2387644Z - 2022-11-23T01:37:55.2387764Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.2387817Z { 2022-11-23T01:37:55.2387961Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.2388231Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.2388363Z 'obj_weakref': None 2022-11-23T01:37:55.2388593Z 'guarded_class': 2022-11-23T01:37:55.2388658Z } 2022-11-23T01:37:55.2388720Z 2022-11-23T01:37:55.2388777Z - 2022-11-23T01:37:55.2388907Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.2388971Z { 2022-11-23T01:37:55.2389115Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2389224Z 'code': None, 2022-11-23T01:37:55.2389440Z 'obj_weakref': 2022-11-23T01:37:55.2389701Z 'guarded_class': 2022-11-23T01:37:55.2389751Z } 2022-11-23T01:37:55.2389813Z 2022-11-23T01:37:55.2389885Z - 2022-11-23T01:37:55.2390017Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.2390081Z { 2022-11-23T01:37:55.2390220Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.2390393Z 'code': ['___check_obj_id(model, 140538745775312)'], 2022-11-23T01:37:55.2390502Z 'obj_weakref': None 2022-11-23T01:37:55.2390735Z 'guarded_class': 2022-11-23T01:37:55.2390798Z } 2022-11-23T01:37:55.2390857Z 2022-11-23T01:37:55.2390928Z - 2022-11-23T01:37:55.2391052Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.2391113Z { 2022-11-23T01:37:55.2391240Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.2391459Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.2391579Z 'obj_weakref': None 2022-11-23T01:37:55.2391803Z 'guarded_class': 2022-11-23T01:37:55.2391867Z } 2022-11-23T01:37:55.2391968Z 2022-11-23T01:37:55.2392042Z - 2022-11-23T01:37:55.2392163Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.2392225Z { 2022-11-23T01:37:55.2392347Z 'guard_types': None, 2022-11-23T01:37:55.2392454Z 'code': None, 2022-11-23T01:37:55.2392573Z 'obj_weakref': None 2022-11-23T01:37:55.2392698Z 'guarded_class': None 2022-11-23T01:37:55.2392748Z } 2022-11-23T01:37:55.2392808Z 2022-11-23T01:37:55.2393070Z [2022-11-23 01:34:15,804] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 333 2022-11-23T01:37:55.2393506Z [2022-11-23 01:34:17,205] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vx/cvxsxofckpsrn7ekh3d35ir5oltjx4aohqtkkonghzxtxboskiiy.py 2022-11-23T01:37:55.2393776Z [2022-11-23 01:34:17,206] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 333 2022-11-23T01:37:55.2393783Z 2022-11-23T01:37:55.2393881Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.2393951Z import torch 2022-11-23T01:37:55.2394021Z import random 2022-11-23T01:37:55.2394127Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.2394249Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.2394255Z 2022-11-23T01:37:55.2394333Z aten = torch.ops.aten 2022-11-23T01:37:55.2394470Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.2394563Z async_compile = AsyncCompile() 2022-11-23T01:37:55.2394568Z 2022-11-23T01:37:55.2394572Z 2022-11-23T01:37:55.2394710Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.2394918Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.2395040Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.2395127Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.2395226Z float* __restrict__ out_ptr1) 2022-11-23T01:37:55.2395289Z { 2022-11-23T01:37:55.2395366Z #pragma GCC ivdep 2022-11-23T01:37:55.2395451Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.2395514Z { 2022-11-23T01:37:55.2395597Z #pragma GCC ivdep 2022-11-23T01:37:55.2395667Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:37:55.2395730Z { 2022-11-23T01:37:55.2395794Z { 2022-11-23T01:37:55.2395860Z { 2022-11-23T01:37:55.2395962Z auto tmp0 = static_cast(7); 2022-11-23T01:37:55.2396065Z auto tmp1 = static_cast(i0); 2022-11-23T01:37:55.2396166Z auto tmp2 = static_cast(1); 2022-11-23T01:37:55.2396291Z auto tmp3 = tmp1 - tmp2; 2022-11-23T01:37:55.2396410Z auto tmp4 = std::abs(tmp3); 2022-11-23T01:37:55.2396552Z auto tmp5 = tmp0 - tmp4; 2022-11-23T01:37:55.2396651Z auto tmp6 = std::abs(tmp5); 2022-11-23T01:37:55.2396794Z auto tmp7 = tmp0 - tmp6; 2022-11-23T01:37:55.2396898Z auto tmp8 = static_cast(i1); 2022-11-23T01:37:55.2397036Z auto tmp9 = tmp8 - tmp2; 2022-11-23T01:37:55.2397124Z auto tmp10 = std::abs(tmp9); 2022-11-23T01:37:55.2397267Z auto tmp11 = tmp0 - tmp10; 2022-11-23T01:37:55.2397370Z auto tmp12 = std::abs(tmp11); 2022-11-23T01:37:55.2397512Z auto tmp13 = tmp0 - tmp12; 2022-11-23T01:37:55.2397621Z auto tmp14 = in_ptr0[tmp13 + (8*tmp7)]; 2022-11-23T01:37:55.2397717Z out_ptr0[i1 + (10*i0)] = tmp14; 2022-11-23T01:37:55.2397786Z } 2022-11-23T01:37:55.2397856Z } 2022-11-23T01:37:55.2397906Z } 2022-11-23T01:37:55.2397972Z } 2022-11-23T01:37:55.2398048Z #pragma GCC ivdep 2022-11-23T01:37:55.2398131Z for(long i0=0; i0<15; i0+=1) 2022-11-23T01:37:55.2398192Z { 2022-11-23T01:37:55.2398299Z #pragma GCC ivdep 2022-11-23T01:37:55.2398369Z for(long i1=0; i1<11; i1+=1) 2022-11-23T01:37:55.2398433Z { 2022-11-23T01:37:55.2398498Z { 2022-11-23T01:37:55.2398562Z { 2022-11-23T01:37:55.2398664Z auto tmp0 = static_cast(7); 2022-11-23T01:37:55.2398768Z auto tmp1 = static_cast(i0); 2022-11-23T01:37:55.2398867Z auto tmp2 = static_cast(3); 2022-11-23T01:37:55.2398993Z auto tmp3 = tmp1 - tmp2; 2022-11-23T01:37:55.2399089Z auto tmp4 = std::abs(tmp3); 2022-11-23T01:37:55.2399259Z auto tmp5 = tmp0 - tmp4; 2022-11-23T01:37:55.2399356Z auto tmp6 = std::abs(tmp5); 2022-11-23T01:37:55.2399492Z auto tmp7 = tmp0 - tmp6; 2022-11-23T01:37:55.2399593Z auto tmp8 = static_cast(i1); 2022-11-23T01:37:55.2399689Z auto tmp9 = static_cast(1); 2022-11-23T01:37:55.2399818Z auto tmp10 = tmp8 - tmp9; 2022-11-23T01:37:55.2399919Z auto tmp11 = std::abs(tmp10); 2022-11-23T01:37:55.2400059Z auto tmp12 = tmp0 - tmp11; 2022-11-23T01:37:55.2400155Z auto tmp13 = std::abs(tmp12); 2022-11-23T01:37:55.2400295Z auto tmp14 = tmp0 - tmp13; 2022-11-23T01:37:55.2400403Z auto tmp15 = in_ptr0[tmp14 + (8*tmp7)]; 2022-11-23T01:37:55.2400495Z out_ptr1[i1 + (11*i0)] = tmp15; 2022-11-23T01:37:55.2400558Z } 2022-11-23T01:37:55.2400608Z } 2022-11-23T01:37:55.2400672Z } 2022-11-23T01:37:55.2400730Z } 2022-11-23T01:37:55.2400791Z } 2022-11-23T01:37:55.2400870Z ''') 2022-11-23T01:37:55.2400877Z 2022-11-23T01:37:55.2400881Z 2022-11-23T01:37:55.2400970Z async_compile.wait(globals()) 2022-11-23T01:37:55.2401039Z del async_compile 2022-11-23T01:37:55.2401044Z 2022-11-23T01:37:55.2401100Z def call(args): 2022-11-23T01:37:55.2401172Z arg0_1, = args 2022-11-23T01:37:55.2401244Z args.clear() 2022-11-23T01:37:55.2401464Z buf0 = empty_strided((1, 1, 10, 10), (100, 100, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2401684Z buf1 = empty_strided((1, 1, 15, 11), (165, 165, 11, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2401850Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:55.2401918Z del arg0_1 2022-11-23T01:37:55.2401983Z return (buf0, buf1, ) 2022-11-23T01:37:55.2401988Z 2022-11-23T01:37:55.2402003Z 2022-11-23T01:37:55.2402068Z if __name__ == "__main__": 2022-11-23T01:37:55.2402180Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.2402300Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.2402516Z arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2402621Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.2402629Z 2022-11-23T01:37:55.2402694Z ok (1.438s) 2022-11-23T01:37:55.2402994Z test_relu_cpu (__main__.CpuTests) ... [2022-11-23 01:34:17,214] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.2403269Z [2022-11-23 01:34:17,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.2403478Z [2022-11-23 01:34:17,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.2403733Z [2022-11-23 01:34:17,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.2404024Z [2022-11-23 01:34:17,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.2404349Z [2022-11-23 01:34:17,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.2404713Z [2022-11-23 01:34:17,214] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.2404811Z 995 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.2404904Z 2 LOAD_METHOD 1 (relu) 2022-11-23T01:37:55.2404994Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.2405068Z 6 CALL_METHOD 1 2022-11-23T01:37:55.2405161Z 8 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.2405249Z 10 LOAD_METHOD 1 (relu) 2022-11-23T01:37:55.2405368Z 12 LOAD_FAST 0 (a) 2022-11-23T01:37:55.2405453Z 14 LOAD_FAST 1 (b) 2022-11-23T01:37:55.2405525Z 16 BINARY_ADD 2022-11-23T01:37:55.2405612Z 18 CALL_METHOD 1 2022-11-23T01:37:55.2405700Z 20 LOAD_CONST 1 (10) 2022-11-23T01:37:55.2405772Z 22 BINARY_TRUE_DIVIDE 2022-11-23T01:37:55.2405860Z 24 BUILD_TUPLE 2 2022-11-23T01:37:55.2405935Z 26 RETURN_VALUE 2022-11-23T01:37:55.2405994Z 2022-11-23T01:37:55.2405999Z 2022-11-23T01:37:55.2406270Z [2022-11-23 01:34:17,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:995 2022-11-23T01:37:55.2406493Z [2022-11-23 01:34:17,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.2406860Z [2022-11-23 01:34:17,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu [TorchVariable()] 2022-11-23T01:37:55.2407187Z [2022-11-23 01:34:17,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:55.2407531Z [2022-11-23 01:34:17,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.2407780Z [2022-11-23 01:34:17,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:37:55.2408172Z [2022-11-23 01:34:17,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.2408521Z [2022-11-23 01:34:17,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.2408899Z [2022-11-23 01:34:17,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.2409316Z [2022-11-23 01:34:17,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2409700Z [2022-11-23 01:34:17,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.2409970Z [2022-11-23 01:34:17,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2410292Z [2022-11-23 01:34:17,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2410566Z [2022-11-23 01:34:17,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2410815Z [2022-11-23 01:34:17,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.2411184Z [2022-11-23 01:34:17,221] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.2411421Z [2022-11-23 01:34:17,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.2411659Z [2022-11-23 01:34:17,221] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.2411914Z [2022-11-23 01:34:17,222] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.2412168Z [2022-11-23 01:34:17,227] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.2412431Z [2022-11-23 01:34:17,227] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.2412566Z __compiled_fn_341 .2863 opcode, name, target, args, kwargs 2022-11-23T01:37:55.2412655Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.2412742Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.2412957Z call_function, relu, , (ex_0_,), {} 2022-11-23T01:37:55.2413138Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.2413361Z call_function, relu_1, , (add,), {} 2022-11-23T01:37:55.2413555Z call_function, truediv, , (relu_1, 10), {} 2022-11-23T01:37:55.2413662Z output, output, output, ((relu, truediv),), {} 2022-11-23T01:37:55.2413668Z 2022-11-23T01:37:55.2413950Z [2022-11-23 01:34:17,228] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2414047Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.2414137Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2414217Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.2414306Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.2414382Z 8 RETURN_VALUE 2022-11-23T01:37:55.2414388Z 2022-11-23T01:37:55.2414449Z 2022-11-23T01:37:55.2414728Z [2022-11-23 01:34:17,228] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2414838Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_341) 2022-11-23T01:37:55.2414925Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2415016Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2415079Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.2415167Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2415258Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.2415334Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.2415422Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.2415525Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2415625Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2415702Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2415775Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.2415874Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2415960Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:55.2416037Z 28 BINARY_SUBSCR 2022-11-23T01:37:55.2416124Z 30 BUILD_TUPLE 2 2022-11-23T01:37:55.2416196Z 32 RETURN_VALUE 2022-11-23T01:37:55.2416201Z 2022-11-23T01:37:55.2416248Z 2022-11-23T01:37:55.2416435Z [2022-11-23 01:34:17,229] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.2416508Z - 2022-11-23T01:37:55.2416629Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.2416693Z { 2022-11-23T01:37:55.2416837Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.2417027Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.2417137Z 'obj_weakref': None 2022-11-23T01:37:55.2417393Z 'guarded_class': 2022-11-23T01:37:55.2417458Z } 2022-11-23T01:37:55.2417521Z 2022-11-23T01:37:55.2417591Z - 2022-11-23T01:37:55.2417716Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.2417779Z { 2022-11-23T01:37:55.2417912Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2418021Z 'code': None, 2022-11-23T01:37:55.2418237Z 'obj_weakref': 2022-11-23T01:37:55.2418497Z 'guarded_class': 2022-11-23T01:37:55.2418589Z } 2022-11-23T01:37:55.2418651Z 2022-11-23T01:37:55.2418722Z - 2022-11-23T01:37:55.2419020Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.2419127Z { 2022-11-23T01:37:55.2419288Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2419399Z 'code': None, 2022-11-23T01:37:55.2419612Z 'obj_weakref': 2022-11-23T01:37:55.2419869Z 'guarded_class': 2022-11-23T01:37:55.2419933Z } 2022-11-23T01:37:55.2420000Z 2022-11-23T01:37:55.2420059Z - 2022-11-23T01:37:55.2420190Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.2420253Z { 2022-11-23T01:37:55.2420389Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.2420567Z 'code': ['___check_obj_id(model, 140538744181104)'], 2022-11-23T01:37:55.2420691Z 'obj_weakref': None 2022-11-23T01:37:55.2420926Z 'guarded_class': 2022-11-23T01:37:55.2420980Z } 2022-11-23T01:37:55.2421042Z 2022-11-23T01:37:55.2421116Z - 2022-11-23T01:37:55.2421239Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.2421302Z { 2022-11-23T01:37:55.2421439Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.2421645Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.2421765Z 'obj_weakref': None 2022-11-23T01:37:55.2421987Z 'guarded_class': 2022-11-23T01:37:55.2422052Z } 2022-11-23T01:37:55.2422112Z 2022-11-23T01:37:55.2422183Z - 2022-11-23T01:37:55.2422317Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.2422367Z { 2022-11-23T01:37:55.2422490Z 'guard_types': None, 2022-11-23T01:37:55.2422597Z 'code': None, 2022-11-23T01:37:55.2422716Z 'obj_weakref': None 2022-11-23T01:37:55.2422838Z 'guarded_class': None 2022-11-23T01:37:55.2422903Z } 2022-11-23T01:37:55.2422966Z 2022-11-23T01:37:55.2423216Z [2022-11-23 01:34:17,237] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 334 2022-11-23T01:37:55.2423588Z [2022-11-23 01:34:18,619] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ty/cty7hvnqqc5oblsikpg4cs33nuyy76ucueqyhhpdtqcfroj4w3ll.py 2022-11-23T01:37:55.2423854Z [2022-11-23 01:34:18,619] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 334 2022-11-23T01:37:55.2423860Z 2022-11-23T01:37:55.2423953Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.2424023Z import torch 2022-11-23T01:37:55.2424092Z import random 2022-11-23T01:37:55.2424206Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.2424327Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.2424333Z 2022-11-23T01:37:55.2424399Z aten = torch.ops.aten 2022-11-23T01:37:55.2424602Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.2424697Z async_compile = AsyncCompile() 2022-11-23T01:37:55.2424702Z 2022-11-23T01:37:55.2424706Z 2022-11-23T01:37:55.2424845Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.2425048Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.2425172Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.2425276Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.2425375Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.2425501Z float* __restrict__ out_ptr1) 2022-11-23T01:37:55.2425561Z { 2022-11-23T01:37:55.2425641Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.2425702Z { 2022-11-23T01:37:55.2425842Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.2425971Z auto tmp2 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.2426098Z auto tmp1 = at::vec::clamp_min(tmp0, decltype(tmp0)(0)); 2022-11-23T01:37:55.2426181Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:37:55.2426291Z auto tmp4 = at::vec::clamp_min(tmp3, decltype(tmp3)(0)); 2022-11-23T01:37:55.2426421Z auto tmp5 = at::vec::Vectorized(static_cast(10)); 2022-11-23T01:37:55.2426504Z auto tmp6 = tmp4 / tmp5; 2022-11-23T01:37:55.2426590Z tmp1.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.2426674Z tmp6.store(out_ptr1 + 8*i0); 2022-11-23T01:37:55.2426732Z } 2022-11-23T01:37:55.2426818Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.2426889Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:37:55.2426947Z { 2022-11-23T01:37:55.2427025Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.2427104Z auto tmp2 = in_ptr1[i0]; 2022-11-23T01:37:55.2427188Z auto tmp1 = tmp0 * (tmp0>0); 2022-11-23T01:37:55.2427267Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:37:55.2427350Z auto tmp4 = tmp3 * (tmp3>0); 2022-11-23T01:37:55.2427435Z auto tmp5 = static_cast(10); 2022-11-23T01:37:55.2427514Z auto tmp6 = tmp4 / tmp5; 2022-11-23T01:37:55.2427590Z out_ptr0[i0] = tmp1; 2022-11-23T01:37:55.2427664Z out_ptr1[i0] = tmp6; 2022-11-23T01:37:55.2427723Z } 2022-11-23T01:37:55.2427781Z } 2022-11-23T01:37:55.2427849Z ''') 2022-11-23T01:37:55.2427866Z 2022-11-23T01:37:55.2427870Z 2022-11-23T01:37:55.2427947Z async_compile.wait(globals()) 2022-11-23T01:37:55.2428018Z del async_compile 2022-11-23T01:37:55.2428023Z 2022-11-23T01:37:55.2428090Z def call(args): 2022-11-23T01:37:55.2428261Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.2428333Z args.clear() 2022-11-23T01:37:55.2428539Z buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2428737Z buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2428919Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:55.2428989Z del arg0_1 2022-11-23T01:37:55.2429056Z del arg1_1 2022-11-23T01:37:55.2429133Z return (buf0, buf1, ) 2022-11-23T01:37:55.2429138Z 2022-11-23T01:37:55.2429142Z 2022-11-23T01:37:55.2429219Z if __name__ == "__main__": 2022-11-23T01:37:55.2429334Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.2429457Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.2429659Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2429846Z arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2429963Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.2429968Z 2022-11-23T01:37:55.2430035Z ok (1.413s) 2022-11-23T01:37:55.2430389Z test_remainder_cpu (__main__.CpuTests) ... [2022-11-23 01:34:18,627] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.2430669Z [2022-11-23 01:34:18,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.2430894Z [2022-11-23 01:34:18,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.2431152Z [2022-11-23 01:34:18,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.2431443Z [2022-11-23 01:34:18,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.2431771Z [2022-11-23 01:34:18,627] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.2432119Z [2022-11-23 01:34:18,628] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.2432221Z 2761 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.2432320Z 2 LOAD_METHOD 1 (remainder) 2022-11-23T01:37:55.2432413Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.2432503Z 6 LOAD_FAST 1 (b) 2022-11-23T01:37:55.2432594Z 8 CALL_METHOD 2 2022-11-23T01:37:55.2432599Z 2022-11-23T01:37:55.2432694Z 2762 10 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.2432793Z 12 LOAD_METHOD 1 (remainder) 2022-11-23T01:37:55.2432869Z 14 LOAD_FAST 0 (a) 2022-11-23T01:37:55.2432960Z 16 LOAD_CONST 1 (1) 2022-11-23T01:37:55.2433035Z 18 BINARY_ADD 2022-11-23T01:37:55.2433124Z 20 LOAD_FAST 1 (b) 2022-11-23T01:37:55.2433212Z 22 LOAD_CONST 1 (1) 2022-11-23T01:37:55.2433294Z 24 BINARY_SUBTRACT 2022-11-23T01:37:55.2433382Z 26 CALL_METHOD 2 2022-11-23T01:37:55.2433389Z 2022-11-23T01:37:55.2433468Z 2763 28 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.2433566Z 30 LOAD_METHOD 1 (remainder) 2022-11-23T01:37:55.2433655Z 32 LOAD_FAST 0 (a) 2022-11-23T01:37:55.2433742Z 34 LOAD_CONST 1 (1) 2022-11-23T01:37:55.2433823Z 36 BINARY_SUBTRACT 2022-11-23T01:37:55.2433911Z 38 LOAD_FAST 1 (b) 2022-11-23T01:37:55.2433998Z 40 LOAD_CONST 1 (1) 2022-11-23T01:37:55.2434071Z 42 BINARY_ADD 2022-11-23T01:37:55.2434150Z 44 CALL_METHOD 2 2022-11-23T01:37:55.2434242Z 46 BUILD_TUPLE 3 2022-11-23T01:37:55.2434319Z 48 RETURN_VALUE 2022-11-23T01:37:55.2434380Z 2022-11-23T01:37:55.2434385Z 2022-11-23T01:37:55.2434664Z [2022-11-23 01:34:18,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2761 2022-11-23T01:37:55.2434893Z [2022-11-23 01:34:18,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.2435274Z [2022-11-23 01:34:18,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR remainder [TorchVariable()] 2022-11-23T01:37:55.2435608Z [2022-11-23 01:34:18,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:55.2435951Z [2022-11-23 01:34:18,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.2436348Z [2022-11-23 01:34:18,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2436651Z [2022-11-23 01:34:18,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2762 2022-11-23T01:37:55.2436907Z [2022-11-23 01:34:18,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:37:55.2437477Z [2022-11-23 01:34:18,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR remainder [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.2438021Z [2022-11-23 01:34:18,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.2438855Z [2022-11-23 01:34:18,630] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.2439685Z [2022-11-23 01:34:18,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2440288Z [2022-11-23 01:34:18,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.2440712Z [2022-11-23 01:34:18,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2441187Z [2022-11-23 01:34:18,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2441615Z [2022-11-23 01:34:18,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2441890Z [2022-11-23 01:34:18,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2763 2022-11-23T01:37:55.2442168Z [2022-11-23 01:34:18,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2442589Z [2022-11-23 01:34:18,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR remainder [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.2442983Z [2022-11-23 01:34:18,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.2443403Z [2022-11-23 01:34:18,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.2443872Z [2022-11-23 01:34:18,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2444285Z [2022-11-23 01:34:18,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.2444736Z [2022-11-23 01:34:18,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2445262Z [2022-11-23 01:34:18,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2445715Z [2022-11-23 01:34:18,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2446019Z [2022-11-23 01:34:18,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2446306Z [2022-11-23 01:34:18,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.2446637Z [2022-11-23 01:34:18,637] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.2446887Z [2022-11-23 01:34:18,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.2447126Z [2022-11-23 01:34:18,637] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.2447384Z [2022-11-23 01:34:18,638] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.2447623Z [2022-11-23 01:34:18,644] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.2447817Z [2022-11-23 01:34:18,645] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.2447950Z __compiled_fn_342 .2869 opcode, name, target, args, kwargs 2022-11-23T01:37:55.2448041Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.2448129Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.2448385Z call_function, remainder, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.2448562Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:55.2448736Z call_function, sub, , (ex_1_, 1), {} 2022-11-23T01:37:55.2448975Z call_function, remainder_1, , (add, sub), {} 2022-11-23T01:37:55.2449151Z call_function, sub_1, , (ex_0_, 1), {} 2022-11-23T01:37:55.2449325Z call_function, add_1, , (ex_1_, 1), {} 2022-11-23T01:37:55.2449583Z call_function, remainder_2, , (sub_1, add_1), {} 2022-11-23T01:37:55.2449719Z output, output, output, ((remainder, remainder_1, remainder_2),), {} 2022-11-23T01:37:55.2449728Z 2022-11-23T01:37:55.2450010Z [2022-11-23 01:34:18,645] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2450104Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.2450195Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2450278Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.2450367Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.2450442Z 8 RETURN_VALUE 2022-11-23T01:37:55.2450448Z 2022-11-23T01:37:55.2450509Z 2022-11-23T01:37:55.2450786Z [2022-11-23 01:34:18,645] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2450898Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_342) 2022-11-23T01:37:55.2450987Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2451077Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2451145Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.2451233Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2451320Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.2451394Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.2451481Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.2451612Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2451716Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2451791Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2451865Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.2451965Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2452052Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:55.2452126Z 28 BINARY_SUBSCR 2022-11-23T01:37:55.2452224Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2452313Z 32 LOAD_CONST 3 (2) 2022-11-23T01:37:55.2452404Z 34 BINARY_SUBSCR 2022-11-23T01:37:55.2452494Z 36 BUILD_TUPLE 3 2022-11-23T01:37:55.2452567Z 38 RETURN_VALUE 2022-11-23T01:37:55.2452572Z 2022-11-23T01:37:55.2452632Z 2022-11-23T01:37:55.2452819Z [2022-11-23 01:34:18,646] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.2452897Z - 2022-11-23T01:37:55.2453020Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.2453073Z { 2022-11-23T01:37:55.2453215Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.2453401Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.2453525Z 'obj_weakref': None 2022-11-23T01:37:55.2453750Z 'guarded_class': 2022-11-23T01:37:55.2453814Z } 2022-11-23T01:37:55.2453875Z 2022-11-23T01:37:55.2453932Z - 2022-11-23T01:37:55.2454063Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.2454126Z { 2022-11-23T01:37:55.2454270Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2454379Z 'code': None, 2022-11-23T01:37:55.2454593Z 'obj_weakref': 2022-11-23T01:37:55.2454850Z 'guarded_class': 2022-11-23T01:37:55.2454901Z } 2022-11-23T01:37:55.2454961Z 2022-11-23T01:37:55.2455030Z - 2022-11-23T01:37:55.2455156Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.2455217Z { 2022-11-23T01:37:55.2455361Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2455470Z 'code': None, 2022-11-23T01:37:55.2455669Z 'obj_weakref': 2022-11-23T01:37:55.2455928Z 'guarded_class': 2022-11-23T01:37:55.2455991Z } 2022-11-23T01:37:55.2456053Z 2022-11-23T01:37:55.2456125Z - 2022-11-23T01:37:55.2456257Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.2456319Z { 2022-11-23T01:37:55.2456445Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.2456617Z 'code': ['___check_obj_id(model, 140538738827136)'], 2022-11-23T01:37:55.2456738Z 'obj_weakref': None 2022-11-23T01:37:55.2456973Z 'guarded_class': 2022-11-23T01:37:55.2457035Z } 2022-11-23T01:37:55.2457095Z 2022-11-23T01:37:55.2457166Z - 2022-11-23T01:37:55.2457275Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.2457337Z { 2022-11-23T01:37:55.2457473Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.2457697Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.2457818Z 'obj_weakref': None 2022-11-23T01:37:55.2458040Z 'guarded_class': 2022-11-23T01:37:55.2458102Z } 2022-11-23T01:37:55.2458151Z 2022-11-23T01:37:55.2458249Z - 2022-11-23T01:37:55.2458387Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.2458451Z { 2022-11-23T01:37:55.2458571Z 'guard_types': None, 2022-11-23T01:37:55.2458679Z 'code': None, 2022-11-23T01:37:55.2458976Z 'obj_weakref': None 2022-11-23T01:37:55.2459095Z 'guarded_class': None 2022-11-23T01:37:55.2459159Z } 2022-11-23T01:37:55.2459220Z 2022-11-23T01:37:55.2459491Z [2022-11-23 01:34:18,657] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 335 2022-11-23T01:37:55.2459943Z [2022-11-23 01:34:20,048] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sd/csdxfyvqnsyskbhzzmmkkciymgsla4qoshxpxnbifivtq7p6gr6i.py 2022-11-23T01:37:55.2460219Z [2022-11-23 01:34:20,048] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 335 2022-11-23T01:37:55.2460226Z 2022-11-23T01:37:55.2460322Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.2460391Z import torch 2022-11-23T01:37:55.2460447Z import random 2022-11-23T01:37:55.2460562Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.2460687Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.2460692Z 2022-11-23T01:37:55.2460769Z aten = torch.ops.aten 2022-11-23T01:37:55.2460903Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.2460995Z async_compile = AsyncCompile() 2022-11-23T01:37:55.2461001Z 2022-11-23T01:37:55.2461005Z 2022-11-23T01:37:55.2461142Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.2461352Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.2461458Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.2461560Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.2461659Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.2461758Z float* __restrict__ out_ptr1, 2022-11-23T01:37:55.2461850Z float* __restrict__ out_ptr2) 2022-11-23T01:37:55.2461910Z { 2022-11-23T01:37:55.2461986Z #pragma GCC ivdep 2022-11-23T01:37:55.2462055Z for(long i0=0; i0<64; i0+=1) 2022-11-23T01:37:55.2462118Z { 2022-11-23T01:37:55.2462179Z { 2022-11-23T01:37:55.2462242Z { 2022-11-23T01:37:55.2462328Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.2462414Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.2462509Z auto tmp2 = mod(tmp0, tmp1); 2022-11-23T01:37:55.2462583Z auto tmp3 = tmp2 + tmp1; 2022-11-23T01:37:55.2462702Z auto tmp4 = ((tmp2 != 0) & ((tmp2 < 0) != (tmp1 < 0))) ? tmp3 : tmp2; 2022-11-23T01:37:55.2462803Z auto tmp5 = static_cast(1); 2022-11-23T01:37:55.2462888Z auto tmp6 = tmp0 + tmp5; 2022-11-23T01:37:55.2463022Z auto tmp7 = tmp1 - tmp5; 2022-11-23T01:37:55.2463113Z auto tmp8 = mod(tmp6, tmp7); 2022-11-23T01:37:55.2463198Z auto tmp9 = tmp8 + tmp7; 2022-11-23T01:37:55.2463307Z auto tmp10 = ((tmp8 != 0) & ((tmp8 < 0) != (tmp7 < 0))) ? tmp9 : tmp8; 2022-11-23T01:37:55.2463443Z auto tmp11 = tmp0 - tmp5; 2022-11-23T01:37:55.2463530Z auto tmp12 = tmp1 + tmp5; 2022-11-23T01:37:55.2463624Z auto tmp13 = mod(tmp11, tmp12); 2022-11-23T01:37:55.2463715Z auto tmp14 = tmp13 + tmp12; 2022-11-23T01:37:55.2463839Z auto tmp15 = ((tmp13 != 0) & ((tmp13 < 0) != (tmp12 < 0))) ? tmp14 : tmp13; 2022-11-23T01:37:55.2463924Z out_ptr0[i0] = tmp4; 2022-11-23T01:37:55.2463994Z out_ptr1[i0] = tmp10; 2022-11-23T01:37:55.2464072Z out_ptr2[i0] = tmp15; 2022-11-23T01:37:55.2464134Z } 2022-11-23T01:37:55.2464197Z } 2022-11-23T01:37:55.2464259Z } 2022-11-23T01:37:55.2464358Z } 2022-11-23T01:37:55.2464443Z ''') 2022-11-23T01:37:55.2464449Z 2022-11-23T01:37:55.2464453Z 2022-11-23T01:37:55.2464532Z async_compile.wait(globals()) 2022-11-23T01:37:55.2464605Z del async_compile 2022-11-23T01:37:55.2464610Z 2022-11-23T01:37:55.2464682Z def call(args): 2022-11-23T01:37:55.2464756Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.2464826Z args.clear() 2022-11-23T01:37:55.2465025Z buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2465221Z buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2465441Z buf2 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2465644Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:37:55.2465713Z del arg0_1 2022-11-23T01:37:55.2465780Z del arg1_1 2022-11-23T01:37:55.2465864Z return (buf0, buf1, buf2, ) 2022-11-23T01:37:55.2465869Z 2022-11-23T01:37:55.2465873Z 2022-11-23T01:37:55.2465948Z if __name__ == "__main__": 2022-11-23T01:37:55.2466062Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.2466186Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.2466382Z arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2466566Z arg1_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2466682Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.2466687Z 2022-11-23T01:37:55.2466755Z ok (1.429s) 2022-11-23T01:37:55.2467063Z test_repeat_cpu (__main__.CpuTests) ... [2022-11-23 01:34:20,056] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.2467335Z [2022-11-23 01:34:20,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.2467561Z [2022-11-23 01:34:20,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.2467817Z [2022-11-23 01:34:20,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.2468185Z [2022-11-23 01:34:20,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.2468522Z [2022-11-23 01:34:20,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.2468840Z [2022-11-23 01:34:20,056] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.2468937Z 2154 0 LOAD_FAST 0 (x) 2022-11-23T01:37:55.2469036Z 2 LOAD_METHOD 0 (repeat) 2022-11-23T01:37:55.2469126Z 4 LOAD_CONST 1 (2) 2022-11-23T01:37:55.2469217Z 6 LOAD_CONST 1 (2) 2022-11-23T01:37:55.2469304Z 8 LOAD_CONST 2 (3) 2022-11-23T01:37:55.2469395Z 10 LOAD_CONST 3 (1) 2022-11-23T01:37:55.2469470Z 12 CALL_METHOD 4 2022-11-23T01:37:55.2469489Z 2022-11-23T01:37:55.2469563Z 2155 14 LOAD_FAST 0 (x) 2022-11-23T01:37:55.2469660Z 16 LOAD_METHOD 0 (repeat) 2022-11-23T01:37:55.2469746Z 18 LOAD_CONST 4 (8) 2022-11-23T01:37:55.2469832Z 20 LOAD_CONST 3 (1) 2022-11-23T01:37:55.2469920Z 22 LOAD_CONST 3 (1) 2022-11-23T01:37:55.2470004Z 24 LOAD_CONST 3 (1) 2022-11-23T01:37:55.2470092Z 26 CALL_METHOD 4 2022-11-23T01:37:55.2470097Z 2022-11-23T01:37:55.2470169Z 2156 28 LOAD_FAST 0 (x) 2022-11-23T01:37:55.2470263Z 30 LOAD_METHOD 0 (repeat) 2022-11-23T01:37:55.2470381Z 32 LOAD_CONST 1 (2) 2022-11-23T01:37:55.2470469Z 34 LOAD_CONST 3 (1) 2022-11-23T01:37:55.2470552Z 36 LOAD_CONST 3 (1) 2022-11-23T01:37:55.2470636Z 38 LOAD_CONST 3 (1) 2022-11-23T01:37:55.2470721Z 40 LOAD_CONST 3 (1) 2022-11-23T01:37:55.2470794Z 42 LOAD_CONST 3 (1) 2022-11-23T01:37:55.2470879Z 44 CALL_METHOD 6 2022-11-23T01:37:55.2470966Z 46 BUILD_TUPLE 3 2022-11-23T01:37:55.2471069Z 48 RETURN_VALUE 2022-11-23T01:37:55.2471128Z 2022-11-23T01:37:55.2471133Z 2022-11-23T01:37:55.2471414Z [2022-11-23 01:34:20,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2154 2022-11-23T01:37:55.2471627Z [2022-11-23 01:34:20,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.2471881Z [2022-11-23 01:34:20,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR repeat [TensorVariable()] 2022-11-23T01:37:55.2472151Z [2022-11-23 01:34:20,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), repeat)] 2022-11-23T01:37:55.2472470Z [2022-11-23 01:34:20,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int)] 2022-11-23T01:37:55.2472821Z [2022-11-23 01:34:20,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.2473213Z [2022-11-23 01:34:20,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.2473648Z [2022-11-23 01:34:20,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.2473919Z [2022-11-23 01:34:20,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2155 2022-11-23T01:37:55.2474160Z [2022-11-23 01:34:20,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()] 2022-11-23T01:37:55.2474437Z [2022-11-23 01:34:20,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR repeat [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2474745Z [2022-11-23 01:34:20,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TensorVariable(), GetAttrVariable(TensorVariable(), repeat)] 2022-11-23T01:37:55.2475093Z [2022-11-23 01:34:20,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int)] 2022-11-23T01:37:55.2475474Z [2022-11-23 01:34:20,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.2475897Z [2022-11-23 01:34:20,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.2476361Z [2022-11-23 01:34:20,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.2476619Z [2022-11-23 01:34:20,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2156 2022-11-23T01:37:55.2476884Z [2022-11-23 01:34:20,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2477220Z [2022-11-23 01:34:20,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR repeat [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2477557Z [2022-11-23 01:34:20,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat)] 2022-11-23T01:37:55.2477926Z [2022-11-23 01:34:20,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int)] 2022-11-23T01:37:55.2478335Z [2022-11-23 01:34:20,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.2478815Z [2022-11-23 01:34:20,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.2479307Z [2022-11-23 01:34:20,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.2479829Z [2022-11-23 01:34:20,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.2480393Z [2022-11-23 01:34:20,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 6 [TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), repeat), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.2480699Z [2022-11-23 01:34:20,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2480949Z [2022-11-23 01:34:20,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.2481282Z [2022-11-23 01:34:20,223] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.2481530Z [2022-11-23 01:34:20,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.2481754Z [2022-11-23 01:34:20,224] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.2482012Z [2022-11-23 01:34:20,226] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.2482265Z [2022-11-23 01:34:20,231] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.2482457Z [2022-11-23 01:34:20,231] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.2482596Z __compiled_fn_343 .2875 opcode, name, target, args, kwargs 2022-11-23T01:37:55.2482686Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.2482794Z call_method, repeat, repeat, (ex_0_, 2, 2, 3, 1), {} 2022-11-23T01:37:55.2482901Z call_method, repeat_1, repeat, (ex_0_, 8, 1, 1, 1), {} 2022-11-23T01:37:55.2483001Z call_method, repeat_2, repeat, (ex_0_, 2, 1, 1, 1, 1, 1), {} 2022-11-23T01:37:55.2483126Z output, output, output, ((repeat, repeat_1, repeat_2),), {} 2022-11-23T01:37:55.2483131Z 2022-11-23T01:37:55.2483414Z [2022-11-23 01:34:20,232] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2483513Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.2483605Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2483700Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.2483791Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.2483906Z 8 RETURN_VALUE 2022-11-23T01:37:55.2483912Z 2022-11-23T01:37:55.2483962Z 2022-11-23T01:37:55.2484245Z [2022-11-23 01:34:20,232] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2484355Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_343) 2022-11-23T01:37:55.2484447Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2484538Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2484618Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.2484708Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.2484845Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2484948Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2485035Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2485116Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.2485219Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2485309Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.2485385Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.2485473Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2485561Z 26 LOAD_CONST 3 (2) 2022-11-23T01:37:55.2485636Z 28 BINARY_SUBSCR 2022-11-23T01:37:55.2485726Z 30 BUILD_TUPLE 3 2022-11-23T01:37:55.2485805Z 32 RETURN_VALUE 2022-11-23T01:37:55.2485810Z 2022-11-23T01:37:55.2485871Z 2022-11-23T01:37:55.2486061Z [2022-11-23 01:34:20,233] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.2486140Z - 2022-11-23T01:37:55.2486248Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.2486318Z { 2022-11-23T01:37:55.2486463Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.2486660Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.2486788Z 'obj_weakref': None 2022-11-23T01:37:55.2487018Z 'guarded_class': 2022-11-23T01:37:55.2487083Z } 2022-11-23T01:37:55.2487134Z 2022-11-23T01:37:55.2487208Z - 2022-11-23T01:37:55.2487338Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.2487401Z { 2022-11-23T01:37:55.2487547Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2487658Z 'code': None, 2022-11-23T01:37:55.2487875Z 'obj_weakref': 2022-11-23T01:37:55.2488121Z 'guarded_class': 2022-11-23T01:37:55.2488188Z } 2022-11-23T01:37:55.2488253Z 2022-11-23T01:37:55.2488328Z - 2022-11-23T01:37:55.2488462Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.2488527Z { 2022-11-23T01:37:55.2488667Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.2488826Z 'code': ['___check_obj_id(model, 140538746860320)'], 2022-11-23T01:37:55.2488949Z 'obj_weakref': None 2022-11-23T01:37:55.2489182Z 'guarded_class': 2022-11-23T01:37:55.2489248Z } 2022-11-23T01:37:55.2489310Z 2022-11-23T01:37:55.2489380Z - 2022-11-23T01:37:55.2489489Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.2489555Z { 2022-11-23T01:37:55.2489692Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.2489913Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.2490033Z 'obj_weakref': None 2022-11-23T01:37:55.2490252Z 'guarded_class': 2022-11-23T01:37:55.2490314Z } 2022-11-23T01:37:55.2490405Z 2022-11-23T01:37:55.2490659Z [2022-11-23 01:34:20,241] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 336 2022-11-23T01:37:55.2491025Z [2022-11-23 01:34:21,707] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/x5/cx5v7wxuwgmyztj3c46h647fbpnyqmog6fkoxltyo5jdncswdmjp.py 2022-11-23T01:37:55.2491292Z [2022-11-23 01:34:21,708] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 336 2022-11-23T01:37:55.2491298Z 2022-11-23T01:37:55.2491392Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.2491490Z import torch 2022-11-23T01:37:55.2491558Z import random 2022-11-23T01:37:55.2491673Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.2491794Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.2491799Z 2022-11-23T01:37:55.2491864Z aten = torch.ops.aten 2022-11-23T01:37:55.2492000Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.2492092Z async_compile = AsyncCompile() 2022-11-23T01:37:55.2492097Z 2022-11-23T01:37:55.2492102Z 2022-11-23T01:37:55.2492239Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.2492446Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.2492564Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.2492662Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.2492722Z { 2022-11-23T01:37:55.2492785Z #pragma GCC ivdep 2022-11-23T01:37:55.2492863Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:55.2492929Z { 2022-11-23T01:37:55.2493007Z #pragma GCC ivdep 2022-11-23T01:37:55.2493088Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:37:55.2493150Z { 2022-11-23T01:37:55.2493216Z #pragma GCC ivdep 2022-11-23T01:37:55.2493301Z for(long i2=0; i2<12; i2+=1) 2022-11-23T01:37:55.2493363Z { 2022-11-23T01:37:55.2493453Z for(long i3=0; i3<1; i3+=1) 2022-11-23T01:37:55.2493518Z { 2022-11-23T01:37:55.2493686Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i3) + (8*(i2 % 4)) + (32*(i1 % 2))); 2022-11-23T01:37:55.2493801Z tmp0.store(out_ptr0 + (8*i2) + (8*i3) + (96*i1) + (384*i0)); 2022-11-23T01:37:55.2493866Z } 2022-11-23T01:37:55.2493952Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.2494039Z for(long i3=8; i3<8; i3+=1) 2022-11-23T01:37:55.2494104Z { 2022-11-23T01:37:55.2494214Z auto tmp0 = in_ptr0[i3 + (8*(i2 % 4)) + (32*(i1 % 2))]; 2022-11-23T01:37:55.2494321Z out_ptr0[i3 + (8*i2) + (96*i1) + (384*i0)] = tmp0; 2022-11-23T01:37:55.2494385Z } 2022-11-23T01:37:55.2494446Z } 2022-11-23T01:37:55.2494496Z } 2022-11-23T01:37:55.2494558Z } 2022-11-23T01:37:55.2494618Z } 2022-11-23T01:37:55.2494698Z ''') 2022-11-23T01:37:55.2494706Z 2022-11-23T01:37:55.2494710Z 2022-11-23T01:37:55.2494799Z async_compile.wait(globals()) 2022-11-23T01:37:55.2494870Z del async_compile 2022-11-23T01:37:55.2494875Z 2022-11-23T01:37:55.2494944Z def call(args): 2022-11-23T01:37:55.2495001Z arg0_1, = args 2022-11-23T01:37:55.2495072Z args.clear() 2022-11-23T01:37:55.2495290Z buf0 = empty_strided((2, 4, 12, 8), (384, 96, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2495424Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.2495574Z return (buf0, as_strided(arg0_1, (8, 2, 4, 8), (0, 32, 8, 1)), as_strided(arg0_1, (2, 1, 1, 2, 4, 8), (0, 0, 0, 32, 8, 1)), ) 2022-11-23T01:37:55.2495583Z 2022-11-23T01:37:55.2495587Z 2022-11-23T01:37:55.2495665Z if __name__ == "__main__": 2022-11-23T01:37:55.2495779Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.2495901Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.2496137Z arg0_1 = rand_strided((1, 2, 4, 8), (64, 32, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2496249Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.2496253Z 2022-11-23T01:37:55.2496318Z ok (1.660s) 2022-11-23T01:37:55.2496629Z test_roi_align_cpu (__main__.CpuTests) ... [2022-11-23 01:34:22,599] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.2496903Z [2022-11-23 01:34:22,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.2497122Z [2022-11-23 01:34:22,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.2497410Z [2022-11-23 01:34:22,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.2497701Z [2022-11-23 01:34:22,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.2498033Z [2022-11-23 01:34:22,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.2498365Z [2022-11-23 01:34:22,600] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.2498450Z 3336 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.2498540Z 2 LOAD_ATTR 1 (ops) 2022-11-23T01:37:55.2498643Z 4 LOAD_ATTR 2 (torchvision) 2022-11-23T01:37:55.2498900Z 6 LOAD_METHOD 3 (roi_align) 2022-11-23T01:37:55.2499060Z 8 LOAD_FAST 0 (a) 2022-11-23T01:37:55.2499214Z 10 LOAD_FAST 1 (b) 2022-11-23T01:37:55.2499365Z 12 LOAD_CONST 1 (0.25) 2022-11-23T01:37:55.2499490Z 14 LOAD_CONST 2 (7) 2022-11-23T01:37:55.2499659Z 16 LOAD_CONST 2 (7) 2022-11-23T01:37:55.2499823Z 18 LOAD_CONST 3 (2) 2022-11-23T01:37:55.2499984Z 20 LOAD_CONST 4 (False) 2022-11-23T01:37:55.2500147Z 22 CALL_METHOD 7 2022-11-23T01:37:55.2500291Z 24 RETURN_VALUE 2022-11-23T01:37:55.2500409Z 2022-11-23T01:37:55.2500419Z 2022-11-23T01:37:55.2500826Z [2022-11-23 01:34:22,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3336 2022-11-23T01:37:55.2501112Z [2022-11-23 01:34:22,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.2501491Z [2022-11-23 01:34:22,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:37:55.2501807Z [2022-11-23 01:34:22,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR torchvision [TorchVariable()] 2022-11-23T01:37:55.2502140Z [2022-11-23 01:34:22,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR roi_align [TorchVariable()] 2022-11-23T01:37:55.2502413Z [2022-11-23 01:34:22,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(torchvision.roi_align)] 2022-11-23T01:37:55.2502719Z [2022-11-23 01:34:22,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(torchvision.roi_align), TensorVariable()] 2022-11-23T01:37:55.2503051Z [2022-11-23 01:34:22,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0.25 [TorchVariable(torchvision.roi_align), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2503424Z [2022-11-23 01:34:22,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 7 [TorchVariable(torchvision.roi_align), TensorVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:37:55.2503939Z [2022-11-23 01:34:22,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 7 [TorchVariable(torchvision.roi_align), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int)] 2022-11-23T01:37:55.2504388Z [2022-11-23 01:34:22,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(torchvision.roi_align), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.2504879Z [2022-11-23 01:34:22,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(torchvision.roi_align), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.2505451Z [2022-11-23 01:34:22,607] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 7 [TorchVariable(torchvision.roi_align), TensorVariable(), TensorVariable(), ConstantVariable(float), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(bool)] 2022-11-23T01:37:55.2505692Z [2022-11-23 01:34:23,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.2506029Z [2022-11-23 01:34:23,137] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.2506276Z [2022-11-23 01:34:23,137] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.2506513Z [2022-11-23 01:34:23,137] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.2506771Z [2022-11-23 01:34:23,150] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.2507027Z [2022-11-23 01:34:23,685] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.2507217Z [2022-11-23 01:34:23,686] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.2507355Z __compiled_fn_344 .2881 opcode, name, target, args, kwargs 2022-11-23T01:37:55.2507445Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.2507517Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.2507663Z call_function, roi_align, torchvision.roi_align, (ex_0_, ex_1_, 0.25, 7, 7, 2, False), {} 2022-11-23T01:37:55.2507767Z output, output, output, ((roi_align,),), {} 2022-11-23T01:37:55.2507772Z 2022-11-23T01:37:55.2508051Z [2022-11-23 01:34:23,686] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2508230Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.2508329Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2508422Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.2508511Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.2508574Z 8 RETURN_VALUE 2022-11-23T01:37:55.2508579Z 2022-11-23T01:37:55.2508639Z 2022-11-23T01:37:55.2508916Z [2022-11-23 01:34:23,686] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2509023Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_344) 2022-11-23T01:37:55.2509112Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2509201Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2509277Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.2509368Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2509442Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.2509517Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.2509607Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.2509697Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.2509776Z 18 RETURN_VALUE 2022-11-23T01:37:55.2509781Z 2022-11-23T01:37:55.2509842Z 2022-11-23T01:37:55.2510027Z [2022-11-23 01:34:23,687] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.2510086Z - 2022-11-23T01:37:55.2510241Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.2510308Z { 2022-11-23T01:37:55.2510452Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.2510641Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.2510762Z 'obj_weakref': None 2022-11-23T01:37:55.2510990Z 'guarded_class': 2022-11-23T01:37:55.2511042Z } 2022-11-23T01:37:55.2511105Z 2022-11-23T01:37:55.2511174Z - 2022-11-23T01:37:55.2511333Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.2511395Z { 2022-11-23T01:37:55.2511540Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2511650Z 'code': None, 2022-11-23T01:37:55.2511852Z 'obj_weakref': 2022-11-23T01:37:55.2512109Z 'guarded_class': 2022-11-23T01:37:55.2512173Z } 2022-11-23T01:37:55.2512235Z 2022-11-23T01:37:55.2512304Z - 2022-11-23T01:37:55.2512430Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.2512492Z { 2022-11-23T01:37:55.2512624Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2512732Z 'code': None, 2022-11-23T01:37:55.2512944Z 'obj_weakref': 2022-11-23T01:37:55.2513198Z 'guarded_class': 2022-11-23T01:37:55.2513264Z } 2022-11-23T01:37:55.2513328Z 2022-11-23T01:37:55.2513398Z - 2022-11-23T01:37:55.2513520Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.2513582Z { 2022-11-23T01:37:55.2513717Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.2513890Z 'code': ['___check_obj_id(model, 140538738517344)'], 2022-11-23T01:37:55.2514012Z 'obj_weakref': None 2022-11-23T01:37:55.2514242Z 'guarded_class': 2022-11-23T01:37:55.2514305Z } 2022-11-23T01:37:55.2514355Z 2022-11-23T01:37:55.2514425Z - 2022-11-23T01:37:55.2514548Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.2514608Z { 2022-11-23T01:37:55.2514743Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.2514962Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.2515086Z 'obj_weakref': None 2022-11-23T01:37:55.2515295Z 'guarded_class': 2022-11-23T01:37:55.2515359Z } 2022-11-23T01:37:55.2515420Z 2022-11-23T01:37:55.2515493Z - 2022-11-23T01:37:55.2515630Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.2515693Z { 2022-11-23T01:37:55.2515814Z 'guard_types': None, 2022-11-23T01:37:55.2515910Z 'code': None, 2022-11-23T01:37:55.2516027Z 'obj_weakref': None 2022-11-23T01:37:55.2516151Z 'guarded_class': None 2022-11-23T01:37:55.2516213Z } 2022-11-23T01:37:55.2516275Z 2022-11-23T01:37:55.2516537Z [2022-11-23 01:34:24,225] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 337 2022-11-23T01:37:55.2516801Z [2022-11-23 01:34:24,761] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.torchvision.roi_align 2022-11-23T01:37:55.2517157Z [2022-11-23 01:34:24,764] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i4/ci4pltn6avz2d55jzdstupuq6vnm6xd3a6vadxgy4bmwozbvz5uk.py 2022-11-23T01:37:55.2517494Z [2022-11-23 01:34:24,764] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 337 2022-11-23T01:37:55.2517500Z 2022-11-23T01:37:55.2517597Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.2517665Z import torch 2022-11-23T01:37:55.2517735Z import random 2022-11-23T01:37:55.2517849Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.2517970Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.2517975Z 2022-11-23T01:37:55.2518052Z aten = torch.ops.aten 2022-11-23T01:37:55.2518175Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.2518266Z async_compile = AsyncCompile() 2022-11-23T01:37:55.2518308Z 2022-11-23T01:37:55.2518312Z 2022-11-23T01:37:55.2518402Z async_compile.wait(globals()) 2022-11-23T01:37:55.2518480Z del async_compile 2022-11-23T01:37:55.2518484Z 2022-11-23T01:37:55.2518554Z def call(args): 2022-11-23T01:37:55.2518629Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.2518698Z args.clear() 2022-11-23T01:37:55.2518839Z buf0 = torch.ops.torchvision.roi_align(arg0_1, arg1_1, 0.25, 7, 7, 2, False) 2022-11-23T01:37:55.2518895Z del arg0_1 2022-11-23T01:37:55.2518960Z del arg1_1 2022-11-23T01:37:55.2519027Z buf1 = buf0 2022-11-23T01:37:55.2519136Z assert_size_stride(buf1, (2292, 256, 7, 7), (12544, 49, 7, 1)) 2022-11-23T01:37:55.2519200Z del buf0 2022-11-23T01:37:55.2519269Z return (buf1, ) 2022-11-23T01:37:55.2519274Z 2022-11-23T01:37:55.2519277Z 2022-11-23T01:37:55.2519351Z if __name__ == "__main__": 2022-11-23T01:37:55.2519450Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.2519572Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.2519810Z arg0_1 = rand_strided((4, 256, 296, 304), (23035904, 89984, 304, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2520011Z arg1_1 = rand_strided((2292, 5), (5, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2520125Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.2520130Z 2022-11-23T01:37:55.2520199Z ok (4.813s) 2022-11-23T01:37:55.2520503Z test_roll_cpu (__main__.CpuTests) ... [2022-11-23 01:34:26,529] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.2520775Z [2022-11-23 01:34:26,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.2520983Z [2022-11-23 01:34:26,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.2521240Z [2022-11-23 01:34:26,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.2521533Z [2022-11-23 01:34:26,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.2521859Z [2022-11-23 01:34:26,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.2522194Z [2022-11-23 01:34:26,529] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.2522289Z 4235 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.2522380Z 2 LOAD_METHOD 1 (roll) 2022-11-23T01:37:55.2522469Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.2522610Z 6 LOAD_CONST 1 (-3) 2022-11-23T01:37:55.2522688Z 8 LOAD_CONST 2 (10) 2022-11-23T01:37:55.2522775Z 10 BUILD_LIST 2 2022-11-23T01:37:55.2522861Z 12 LOAD_CONST 3 (1) 2022-11-23T01:37:55.2522950Z 14 LOAD_CONST 4 (2) 2022-11-23T01:37:55.2523035Z 16 BUILD_LIST 2 2022-11-23T01:37:55.2523121Z 18 CALL_METHOD 3 2022-11-23T01:37:55.2523126Z 2022-11-23T01:37:55.2523216Z 4236 20 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.2523322Z 22 LOAD_METHOD 1 (roll) 2022-11-23T01:37:55.2523415Z 24 LOAD_FAST 0 (a) 2022-11-23T01:37:55.2523502Z 26 LOAD_CONST 5 (5) 2022-11-23T01:37:55.2523586Z 28 BUILD_LIST 1 2022-11-23T01:37:55.2523670Z 30 CALL_METHOD 2 2022-11-23T01:37:55.2523757Z 32 BUILD_TUPLE 2 2022-11-23T01:37:55.2523835Z 34 RETURN_VALUE 2022-11-23T01:37:55.2523884Z 2022-11-23T01:37:55.2523903Z 2022-11-23T01:37:55.2524164Z [2022-11-23 01:34:26,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4235 2022-11-23T01:37:55.2524430Z [2022-11-23 01:34:26,529] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.2524743Z [2022-11-23 01:34:26,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR roll [TorchVariable()] 2022-11-23T01:37:55.2525002Z [2022-11-23 01:34:26,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.roll)] 2022-11-23T01:37:55.2525292Z [2022-11-23 01:34:26,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -3 [TorchVariable(aten.roll), TensorVariable()] 2022-11-23T01:37:55.2525614Z [2022-11-23 01:34:26,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(aten.roll), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2525974Z [2022-11-23 01:34:26,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.roll), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.2526285Z [2022-11-23 01:34:26,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.roll), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.2526630Z [2022-11-23 01:34:26,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.roll), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2527015Z [2022-11-23 01:34:26,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.roll), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.2527350Z [2022-11-23 01:34:26,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.roll), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:55.2527608Z [2022-11-23 01:34:26,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4236 2022-11-23T01:37:55.2527858Z [2022-11-23 01:34:26,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:55.2528196Z [2022-11-23 01:34:26,543] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR roll [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.2528482Z [2022-11-23 01:34:26,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.roll)] 2022-11-23T01:37:55.2528794Z [2022-11-23 01:34:26,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TensorVariable(), TorchVariable(aten.roll), TensorVariable()] 2022-11-23T01:37:55.2529141Z [2022-11-23 01:34:26,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TorchVariable(aten.roll), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2529480Z [2022-11-23 01:34:26,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.roll), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.2529758Z [2022-11-23 01:34:26,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2530008Z [2022-11-23 01:34:26,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.2530376Z [2022-11-23 01:34:26,546] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.2530613Z [2022-11-23 01:34:26,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.2530854Z [2022-11-23 01:34:26,546] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.2531112Z [2022-11-23 01:34:26,547] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.2531370Z [2022-11-23 01:34:26,550] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.2531614Z [2022-11-23 01:34:26,551] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.2531751Z __compiled_fn_345 .2887 opcode, name, target, args, kwargs 2022-11-23T01:37:55.2531843Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.2532008Z call_function, roll, aten.roll, (ex_0_, [-3, 10], [1, 2]), {} 2022-11-23T01:37:55.2541471Z call_function, roll_1, aten.roll, (ex_0_, [5]), {} 2022-11-23T01:37:55.2541649Z output, output, output, ((roll, roll_1),), {} 2022-11-23T01:37:55.2541658Z 2022-11-23T01:37:55.2542277Z [2022-11-23 01:34:26,551] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2542475Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.2542610Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2542751Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.2542896Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.2543017Z 8 RETURN_VALUE 2022-11-23T01:37:55.2543045Z 2022-11-23T01:37:55.2543128Z 2022-11-23T01:37:55.2543604Z [2022-11-23 01:34:26,551] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2543786Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_345) 2022-11-23T01:37:55.2543942Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2544089Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2544218Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.2544363Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.2544513Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2544684Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2544835Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2544971Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.2545138Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2545291Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.2545424Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.2545560Z 24 BUILD_TUPLE 2 2022-11-23T01:37:55.2545692Z 26 RETURN_VALUE 2022-11-23T01:37:55.2545702Z 2022-11-23T01:37:55.2545809Z 2022-11-23T01:37:55.2546136Z [2022-11-23 01:34:26,552] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.2546264Z - 2022-11-23T01:37:55.2546462Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.2546571Z { 2022-11-23T01:37:55.2546792Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.2547099Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.2547306Z 'obj_weakref': None 2022-11-23T01:37:55.2547678Z 'guarded_class': 2022-11-23T01:37:55.2547789Z } 2022-11-23T01:37:55.2547900Z 2022-11-23T01:37:55.2548027Z - 2022-11-23T01:37:55.2548304Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.2548411Z { 2022-11-23T01:37:55.2548657Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2548837Z 'code': None, 2022-11-23T01:37:55.2549183Z 'obj_weakref': 2022-11-23T01:37:55.2549802Z 'guarded_class': 2022-11-23T01:37:55.2549931Z } 2022-11-23T01:37:55.2550040Z 2022-11-23T01:37:55.2550186Z - 2022-11-23T01:37:55.2550443Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.2550570Z { 2022-11-23T01:37:55.2550829Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.2551156Z 'code': ['___check_obj_id(model, 140538744440016)'], 2022-11-23T01:37:55.2551391Z 'obj_weakref': None 2022-11-23T01:37:55.2551890Z 'guarded_class': 2022-11-23T01:37:55.2552017Z } 2022-11-23T01:37:55.2552123Z 2022-11-23T01:37:55.2552245Z - 2022-11-23T01:37:55.2552451Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.2552560Z { 2022-11-23T01:37:55.2552795Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.2553127Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.2553316Z 'obj_weakref': None 2022-11-23T01:37:55.2553681Z 'guarded_class': 2022-11-23T01:37:55.2553793Z } 2022-11-23T01:37:55.2553899Z 2022-11-23T01:37:55.2554024Z - 2022-11-23T01:37:55.2554226Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.2554316Z { 2022-11-23T01:37:55.2554518Z 'guard_types': None, 2022-11-23T01:37:55.2554704Z 'code': None, 2022-11-23T01:37:55.2554900Z 'obj_weakref': None 2022-11-23T01:37:55.2555102Z 'guarded_class': None 2022-11-23T01:37:55.2555213Z } 2022-11-23T01:37:55.2555323Z 2022-11-23T01:37:55.2555721Z [2022-11-23 01:34:26,557] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 338 2022-11-23T01:37:55.2556276Z [2022-11-23 01:34:28,083] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ri/crikn2kdg7mr2crl6jyawp267qoljgupyplp2grusob4j3cjmp2z.py 2022-11-23T01:37:55.2556718Z [2022-11-23 01:34:28,083] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 338 2022-11-23T01:37:55.2556728Z 2022-11-23T01:37:55.2556886Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.2557010Z import torch 2022-11-23T01:37:55.2557133Z import random 2022-11-23T01:37:55.2557329Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.2557529Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.2557539Z 2022-11-23T01:37:55.2557653Z aten = torch.ops.aten 2022-11-23T01:37:55.2557871Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.2558024Z async_compile = AsyncCompile() 2022-11-23T01:37:55.2558034Z 2022-11-23T01:37:55.2558042Z 2022-11-23T01:37:55.2558283Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.2558608Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.2558808Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.2558976Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.2559146Z float* __restrict__ out_ptr1) 2022-11-23T01:37:55.2559237Z { 2022-11-23T01:37:55.2559372Z #pragma GCC ivdep 2022-11-23T01:37:55.2559511Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:55.2559619Z { 2022-11-23T01:37:55.2559763Z #pragma GCC ivdep 2022-11-23T01:37:55.2559905Z for(long i1=0; i1<56; i1+=1) 2022-11-23T01:37:55.2560013Z { 2022-11-23T01:37:55.2560138Z #pragma GCC ivdep 2022-11-23T01:37:55.2560287Z for(long i2=0; i2<56; i2+=1) 2022-11-23T01:37:55.2560402Z { 2022-11-23T01:37:55.2560553Z for(long i3=0; i3<2; i3+=1) 2022-11-23T01:37:55.2560766Z { 2022-11-23T01:37:55.2561057Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i3) + (16*((46 + i2) % 56)) + (896*((3 + i1) % 56)) + (50176*i0)); 2022-11-23T01:37:55.2561261Z tmp0.store(out_ptr0 + (8*i3) + (16*i2) + (896*i1) + (50176*i0)); 2022-11-23T01:37:55.2561358Z } 2022-11-23T01:37:55.2561523Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.2561682Z for(long i3=16; i3<16; i3+=1) 2022-11-23T01:37:55.2561795Z { 2022-11-23T01:37:55.2561999Z auto tmp0 = in_ptr0[i3 + (16*((46 + i2) % 56)) + (896*((3 + i1) % 56)) + (50176*i0)]; 2022-11-23T01:37:55.2562250Z out_ptr0[i3 + (16*i2) + (896*i1) + (50176*i0)] = tmp0; 2022-11-23T01:37:55.2562360Z } 2022-11-23T01:37:55.2562453Z } 2022-11-23T01:37:55.2562564Z } 2022-11-23T01:37:55.2562664Z } 2022-11-23T01:37:55.2562797Z #pragma GCC ivdep 2022-11-23T01:37:55.2562942Z for(long i0=0; i0<100352; i0+=1) 2022-11-23T01:37:55.2563042Z { 2022-11-23T01:37:55.2563151Z { 2022-11-23T01:37:55.2563248Z { 2022-11-23T01:37:55.2563417Z auto tmp0 = in_ptr0[(100347 + i0) % 100352]; 2022-11-23T01:37:55.2563556Z out_ptr1[i0] = tmp0; 2022-11-23T01:37:55.2563671Z } 2022-11-23T01:37:55.2563782Z } 2022-11-23T01:37:55.2563888Z } 2022-11-23T01:37:55.2563976Z } 2022-11-23T01:37:55.2564138Z ''') 2022-11-23T01:37:55.2564148Z 2022-11-23T01:37:55.2564155Z 2022-11-23T01:37:55.2564311Z async_compile.wait(globals()) 2022-11-23T01:37:55.2564444Z del async_compile 2022-11-23T01:37:55.2564454Z 2022-11-23T01:37:55.2564573Z def call(args): 2022-11-23T01:37:55.2564697Z arg0_1, = args 2022-11-23T01:37:55.2564823Z args.clear() 2022-11-23T01:37:55.2565214Z buf0 = empty_strided((2, 56, 56, 16), (50176, 896, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2565534Z buf1 = empty_strided((100352, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2565804Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:55.2565919Z del arg0_1 2022-11-23T01:37:55.2566110Z return (buf0, as_strided(buf1, (2, 56, 56, 16), (50176, 896, 16, 1)), ) 2022-11-23T01:37:55.2566120Z 2022-11-23T01:37:55.2566126Z 2022-11-23T01:37:55.2566252Z if __name__ == "__main__": 2022-11-23T01:37:55.2566439Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.2566650Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.2567023Z arg0_1 = rand_strided((2, 56, 56, 16), (50176, 896, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2567179Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.2567204Z 2022-11-23T01:37:55.2567305Z ok (1.568s) 2022-11-23T01:37:55.2567805Z test_round_correctness_cpu (__main__.CpuTests) ... [2022-11-23 01:34:28,097] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.2568233Z [2022-11-23 01:34:28,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.2568561Z [2022-11-23 01:34:28,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.2568987Z [2022-11-23 01:34:28,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.2569429Z [2022-11-23 01:34:28,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.2569954Z [2022-11-23 01:34:28,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.2570485Z [2022-11-23 01:34:28,098] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.2570739Z 1027 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.2570874Z 2 LOAD_METHOD 1 (round) 2022-11-23T01:37:55.2571013Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.2571145Z 6 CALL_METHOD 1 2022-11-23T01:37:55.2571263Z 8 RETURN_VALUE 2022-11-23T01:37:55.2571360Z 2022-11-23T01:37:55.2571368Z 2022-11-23T01:37:55.2571827Z [2022-11-23 01:34:28,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1027 2022-11-23T01:37:55.2572198Z [2022-11-23 01:34:28,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.2572796Z [2022-11-23 01:34:28,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR round [TorchVariable()] 2022-11-23T01:37:55.2573281Z [2022-11-23 01:34:28,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:55.2573796Z [2022-11-23 01:34:28,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.2574152Z [2022-11-23 01:34:28,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.2574631Z [2022-11-23 01:34:28,099] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.2574987Z [2022-11-23 01:34:28,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.2596311Z [2022-11-23 01:34:28,100] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.2596963Z [2022-11-23 01:34:28,101] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.2597455Z [2022-11-23 01:34:28,103] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.2597801Z [2022-11-23 01:34:28,103] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.2598044Z __compiled_fn_346 .2893 opcode, name, target, args, kwargs 2022-11-23T01:37:55.2598192Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.2598612Z call_function, round_1, , (ex_0_,), {} 2022-11-23T01:37:55.2598786Z output, output, output, ((round_1,),), {} 2022-11-23T01:37:55.2598798Z 2022-11-23T01:37:55.2599313Z [2022-11-23 01:34:28,104] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2599466Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.2599612Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2599766Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.2599925Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.2600049Z 8 RETURN_VALUE 2022-11-23T01:37:55.2600059Z 2022-11-23T01:37:55.2600158Z 2022-11-23T01:37:55.2600661Z [2022-11-23 01:34:28,104] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2600848Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_346) 2022-11-23T01:37:55.2600999Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2601147Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2601279Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.2601426Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.2601578Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.2601703Z 12 RETURN_VALUE 2022-11-23T01:37:55.2601714Z 2022-11-23T01:37:55.2601810Z 2022-11-23T01:37:55.2602145Z [2022-11-23 01:34:28,104] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.2602265Z - 2022-11-23T01:37:55.2602620Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.2602724Z { 2022-11-23T01:37:55.2602983Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.2603317Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.2603526Z 'obj_weakref': None 2022-11-23T01:37:55.2603922Z 'guarded_class': 2022-11-23T01:37:55.2604031Z } 2022-11-23T01:37:55.2604136Z 2022-11-23T01:37:55.2604245Z - 2022-11-23T01:37:55.2604551Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.2604658Z { 2022-11-23T01:37:55.2604905Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2605093Z 'code': None, 2022-11-23T01:37:55.2605470Z 'obj_weakref': 2022-11-23T01:37:55.2605922Z 'guarded_class': 2022-11-23T01:37:55.2606020Z } 2022-11-23T01:37:55.2606129Z 2022-11-23T01:37:55.2606246Z - 2022-11-23T01:37:55.2606475Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.2606580Z { 2022-11-23T01:37:55.2606815Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.2607113Z 'code': ['___check_obj_id(model, 140538746354000)'], 2022-11-23T01:37:55.2607312Z 'obj_weakref': None 2022-11-23T01:37:55.2607709Z 'guarded_class': 2022-11-23T01:37:55.2607817Z } 2022-11-23T01:37:55.2607916Z 2022-11-23T01:37:55.2608029Z - 2022-11-23T01:37:55.2608231Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.2608336Z { 2022-11-23T01:37:55.2608564Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.2608950Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.2609156Z 'obj_weakref': None 2022-11-23T01:37:55.2609546Z 'guarded_class': 2022-11-23T01:37:55.2609652Z } 2022-11-23T01:37:55.2609757Z 2022-11-23T01:37:55.2609872Z - 2022-11-23T01:37:55.2610092Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.2610191Z { 2022-11-23T01:37:55.2610394Z 'guard_types': None, 2022-11-23T01:37:55.2610581Z 'code': None, 2022-11-23T01:37:55.2610793Z 'obj_weakref': None 2022-11-23T01:37:55.2611005Z 'guarded_class': None 2022-11-23T01:37:55.2611111Z } 2022-11-23T01:37:55.2611209Z 2022-11-23T01:37:55.2611690Z [2022-11-23 01:34:28,110] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 339 2022-11-23T01:37:55.2612434Z [2022-11-23 01:34:29,492] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cl/cclxvglwtrtzawlvkrigc6astsv3sfwuugizl4cn6d5ndjxal6te.py 2022-11-23T01:37:55.2612943Z [2022-11-23 01:34:29,493] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 339 2022-11-23T01:37:55.2612955Z 2022-11-23T01:37:55.2613122Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.2613243Z import torch 2022-11-23T01:37:55.2613368Z import random 2022-11-23T01:37:55.2613578Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.2613798Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.2613812Z 2022-11-23T01:37:55.2613954Z aten = torch.ops.aten 2022-11-23T01:37:55.2614200Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.2614363Z async_compile = AsyncCompile() 2022-11-23T01:37:55.2614374Z 2022-11-23T01:37:55.2614382Z 2022-11-23T01:37:55.2614631Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.2615111Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.2615345Z extern "C" void kernel(const double* __restrict__ in_ptr0, 2022-11-23T01:37:55.2615522Z double* __restrict__ out_ptr0) 2022-11-23T01:37:55.2615616Z { 2022-11-23T01:37:55.2615750Z #pragma GCC ivdep 2022-11-23T01:37:55.2615891Z for(long i0=0; i0<200; i0+=1) 2022-11-23T01:37:55.2615997Z { 2022-11-23T01:37:55.2616101Z { 2022-11-23T01:37:55.2616209Z { 2022-11-23T01:37:55.2616362Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.2616620Z auto tmp1 = std::nearbyint(tmp0); 2022-11-23T01:37:55.2616764Z out_ptr0[i0] = tmp1; 2022-11-23T01:37:55.2616874Z } 2022-11-23T01:37:55.2616979Z } 2022-11-23T01:37:55.2617081Z } 2022-11-23T01:37:55.2617182Z } 2022-11-23T01:37:55.2617323Z ''') 2022-11-23T01:37:55.2617340Z 2022-11-23T01:37:55.2617348Z 2022-11-23T01:37:55.2617509Z async_compile.wait(globals()) 2022-11-23T01:37:55.2617637Z del async_compile 2022-11-23T01:37:55.2617646Z 2022-11-23T01:37:55.2617767Z def call(args): 2022-11-23T01:37:55.2617885Z arg0_1, = args 2022-11-23T01:37:55.2618005Z args.clear() 2022-11-23T01:37:55.2618365Z buf0 = empty_strided((200, ), (1, ), device='cpu', dtype=torch.float64) 2022-11-23T01:37:55.2618607Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.2618717Z del arg0_1 2022-11-23T01:37:55.2619139Z return (buf0, ) 2022-11-23T01:37:55.2619149Z 2022-11-23T01:37:55.2619156Z 2022-11-23T01:37:55.2619296Z if __name__ == "__main__": 2022-11-23T01:37:55.2619506Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.2619731Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.2620100Z arg0_1 = rand_strided((200, ), (1, ), device='cpu', dtype=torch.float64) 2022-11-23T01:37:55.2620296Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.2620311Z 2022-11-23T01:37:55.2620425Z ok (1.403s) 2022-11-23T01:37:55.2620992Z test_round_cpu (__main__.CpuTests) ... [2022-11-23 01:34:29,503] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.2621511Z [2022-11-23 01:34:29,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.2621920Z [2022-11-23 01:34:29,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.2622398Z [2022-11-23 01:34:29,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.2622966Z [2022-11-23 01:34:29,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.2623609Z [2022-11-23 01:34:29,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.2624255Z [2022-11-23 01:34:29,504] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.2624419Z 1013 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.2624583Z 2 LOAD_METHOD 1 (round) 2022-11-23T01:37:55.2624731Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.2624883Z 6 CALL_METHOD 1 2022-11-23T01:37:55.2625042Z 8 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.2625201Z 10 LOAD_METHOD 1 (round) 2022-11-23T01:37:55.2625362Z 12 LOAD_FAST 1 (b) 2022-11-23T01:37:55.2625516Z 14 LOAD_CONST 1 (1) 2022-11-23T01:37:55.2625640Z 16 BINARY_ADD 2022-11-23T01:37:55.2625784Z 18 CALL_METHOD 1 2022-11-23T01:37:55.2625946Z 20 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.2626216Z 22 LOAD_ATTR 1 (round) 2022-11-23T01:37:55.2626376Z 24 LOAD_FAST 0 (a) 2022-11-23T01:37:55.2626526Z 26 LOAD_CONST 2 (2) 2022-11-23T01:37:55.2626815Z 28 LOAD_CONST 3 (('decimals',)) 2022-11-23T01:37:55.2626974Z 30 CALL_FUNCTION_KW 2 2022-11-23T01:37:55.2627119Z 32 BUILD_TUPLE 3 2022-11-23T01:37:55.2627251Z 34 RETURN_VALUE 2022-11-23T01:37:55.2627352Z 2022-11-23T01:37:55.2627362Z 2022-11-23T01:37:55.2627887Z [2022-11-23 01:34:29,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1013 2022-11-23T01:37:55.2628472Z [2022-11-23 01:34:29,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.2629210Z [2022-11-23 01:34:29,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR round [TorchVariable()] 2022-11-23T01:37:55.2629844Z [2022-11-23 01:34:29,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:55.2630564Z [2022-11-23 01:34:29,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.2631046Z [2022-11-23 01:34:29,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:37:55.2631826Z [2022-11-23 01:34:29,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR round [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.2632508Z [2022-11-23 01:34:29,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.2633262Z [2022-11-23 01:34:29,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.2634110Z [2022-11-23 01:34:29,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2634862Z [2022-11-23 01:34:29,509] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.2635397Z [2022-11-23 01:34:29,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2636252Z [2022-11-23 01:34:29,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR round [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.2637006Z [2022-11-23 01:34:29,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.2637818Z [2022-11-23 01:34:29,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.2638741Z [2022-11-23 01:34:29,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('decimals',) [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2639840Z [2022-11-23 01:34:29,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)] 2022-11-23T01:37:55.2640442Z [2022-11-23 01:34:29,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2661553Z [2022-11-23 01:34:29,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.2661984Z [2022-11-23 01:34:29,513] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.2662237Z [2022-11-23 01:34:29,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.2662602Z [2022-11-23 01:34:29,513] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.2662863Z [2022-11-23 01:34:29,515] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.2663123Z [2022-11-23 01:34:29,521] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.2663319Z [2022-11-23 01:34:29,522] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.2663442Z __compiled_fn_347 .2899 opcode, name, target, args, kwargs 2022-11-23T01:37:55.2663533Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.2663622Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.2663858Z call_function, round_1, , (ex_0_,), {} 2022-11-23T01:37:55.2664038Z call_function, add, , (ex_1_, 1), {} 2022-11-23T01:37:55.2664274Z call_function, round_2, , (add,), {} 2022-11-23T01:37:55.2664525Z call_function, round_3, , (ex_0_,), {'decimals': 2} 2022-11-23T01:37:55.2664632Z output, output, output, ((round_1, round_2, round_3),), {} 2022-11-23T01:37:55.2664653Z 2022-11-23T01:37:55.2664923Z [2022-11-23 01:34:29,522] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2665021Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.2665112Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2665206Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.2665297Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.2665375Z 8 RETURN_VALUE 2022-11-23T01:37:55.2665380Z 2022-11-23T01:37:55.2665442Z 2022-11-23T01:37:55.2665706Z [2022-11-23 01:34:29,522] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2665819Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_347) 2022-11-23T01:37:55.2665911Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2666000Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2666081Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.2666170Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2666261Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.2666336Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.2666412Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.2666516Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2666618Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2666707Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2666783Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.2666885Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2666972Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:55.2667034Z 28 BINARY_SUBSCR 2022-11-23T01:37:55.2667135Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2667223Z 32 LOAD_CONST 3 (2) 2022-11-23T01:37:55.2667341Z 34 BINARY_SUBSCR 2022-11-23T01:37:55.2667433Z 36 BUILD_TUPLE 3 2022-11-23T01:37:55.2667508Z 38 RETURN_VALUE 2022-11-23T01:37:55.2667513Z 2022-11-23T01:37:55.2667573Z 2022-11-23T01:37:55.2667748Z [2022-11-23 01:34:29,523] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.2667821Z - 2022-11-23T01:37:55.2667944Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.2668010Z { 2022-11-23T01:37:55.2668229Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.2668426Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.2668590Z 'obj_weakref': None 2022-11-23T01:37:55.2668805Z 'guarded_class': 2022-11-23T01:37:55.2668872Z } 2022-11-23T01:37:55.2668935Z 2022-11-23T01:37:55.2669009Z - 2022-11-23T01:37:55.2669138Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.2669204Z { 2022-11-23T01:37:55.2669353Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2669450Z 'code': None, 2022-11-23T01:37:55.2669672Z 'obj_weakref': 2022-11-23T01:37:55.2669928Z 'guarded_class': 2022-11-23T01:37:55.2669991Z } 2022-11-23T01:37:55.2670054Z 2022-11-23T01:37:55.2670124Z - 2022-11-23T01:37:55.2670238Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.2670304Z { 2022-11-23T01:37:55.2670450Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2670559Z 'code': None, 2022-11-23T01:37:55.2670776Z 'obj_weakref': 2022-11-23T01:37:55.2671035Z 'guarded_class': 2022-11-23T01:37:55.2671099Z } 2022-11-23T01:37:55.2671148Z 2022-11-23T01:37:55.2671217Z - 2022-11-23T01:37:55.2671349Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.2671413Z { 2022-11-23T01:37:55.2671549Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.2671723Z 'code': ['___check_obj_id(model, 140539049018288)'], 2022-11-23T01:37:55.2671847Z 'obj_weakref': None 2022-11-23T01:37:55.2672071Z 'guarded_class': 2022-11-23T01:37:55.2672137Z } 2022-11-23T01:37:55.2672199Z 2022-11-23T01:37:55.2672269Z - 2022-11-23T01:37:55.2672392Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.2672454Z { 2022-11-23T01:37:55.2672581Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.2672806Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.2672928Z 'obj_weakref': None 2022-11-23T01:37:55.2673155Z 'guarded_class': 2022-11-23T01:37:55.2673221Z } 2022-11-23T01:37:55.2673286Z 2022-11-23T01:37:55.2673358Z - 2022-11-23T01:37:55.2673481Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.2673546Z { 2022-11-23T01:37:55.2673669Z 'guard_types': None, 2022-11-23T01:37:55.2673782Z 'code': None, 2022-11-23T01:37:55.2673907Z 'obj_weakref': None 2022-11-23T01:37:55.2674033Z 'guarded_class': None 2022-11-23T01:37:55.2674097Z } 2022-11-23T01:37:55.2674145Z 2022-11-23T01:37:55.2674414Z [2022-11-23 01:34:29,533] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 340 2022-11-23T01:37:55.2674821Z [2022-11-23 01:34:31,076] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kd/ckdwvdjzlbk7luzy3z4k2w5sc3rki7mvx3yzqpzij46xjovapjy4.py 2022-11-23T01:37:55.2675099Z [2022-11-23 01:34:31,076] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 340 2022-11-23T01:37:55.2675105Z 2022-11-23T01:37:55.2675200Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.2675272Z import torch 2022-11-23T01:37:55.2675344Z import random 2022-11-23T01:37:55.2675461Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.2675570Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.2675618Z 2022-11-23T01:37:55.2675685Z aten = torch.ops.aten 2022-11-23T01:37:55.2675820Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.2675915Z async_compile = AsyncCompile() 2022-11-23T01:37:55.2675920Z 2022-11-23T01:37:55.2675924Z 2022-11-23T01:37:55.2676063Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.2676273Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.2676396Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.2676503Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.2676591Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.2676688Z float* __restrict__ out_ptr1, 2022-11-23T01:37:55.2676783Z float* __restrict__ out_ptr2) 2022-11-23T01:37:55.2676845Z { 2022-11-23T01:37:55.2676927Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.2676989Z { 2022-11-23T01:37:55.2677144Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.2677230Z auto tmp1 = tmp0.round(); 2022-11-23T01:37:55.2677353Z auto tmp2 = at::vec::Vectorized(static_cast(100.0)); 2022-11-23T01:37:55.2677438Z auto tmp3 = tmp0 * tmp2; 2022-11-23T01:37:55.2677521Z auto tmp4 = tmp3.round(); 2022-11-23T01:37:55.2677657Z auto tmp5 = at::vec::Vectorized(static_cast(0.01)); 2022-11-23T01:37:55.2677741Z auto tmp6 = tmp4 * tmp5; 2022-11-23T01:37:55.2677830Z tmp1.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.2677916Z tmp6.store(out_ptr1 + 8*i0); 2022-11-23T01:37:55.2677964Z } 2022-11-23T01:37:55.2678054Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.2678138Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:37:55.2678200Z { 2022-11-23T01:37:55.2678282Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.2678383Z auto tmp1 = std::nearbyint(tmp0); 2022-11-23T01:37:55.2678487Z auto tmp2 = static_cast(100.0); 2022-11-23T01:37:55.2678555Z auto tmp3 = tmp0 * tmp2; 2022-11-23T01:37:55.2678651Z auto tmp4 = std::nearbyint(tmp3); 2022-11-23T01:37:55.2678752Z auto tmp5 = static_cast(0.01); 2022-11-23T01:37:55.2678835Z auto tmp6 = tmp4 * tmp5; 2022-11-23T01:37:55.2678914Z out_ptr0[i0] = tmp1; 2022-11-23T01:37:55.2678992Z out_ptr1[i0] = tmp6; 2022-11-23T01:37:55.2679053Z } 2022-11-23T01:37:55.2679119Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.2679178Z { 2022-11-23T01:37:55.2679310Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.2679441Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:55.2679521Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.2679779Z auto tmp3 = tmp2.round(); 2022-11-23T01:37:55.2679912Z tmp3.store(out_ptr2 + 8*i0); 2022-11-23T01:37:55.2679965Z } 2022-11-23T01:37:55.2680055Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.2680134Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:37:55.2680194Z { 2022-11-23T01:37:55.2680275Z auto tmp0 = in_ptr1[i0]; 2022-11-23T01:37:55.2680374Z auto tmp1 = static_cast(1); 2022-11-23T01:37:55.2680456Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.2680584Z auto tmp3 = std::nearbyint(tmp2); 2022-11-23T01:37:55.2680664Z out_ptr2[i0] = tmp3; 2022-11-23T01:37:55.2680725Z } 2022-11-23T01:37:55.2680784Z } 2022-11-23T01:37:55.2680870Z ''') 2022-11-23T01:37:55.2680876Z 2022-11-23T01:37:55.2680881Z 2022-11-23T01:37:55.2680969Z async_compile.wait(globals()) 2022-11-23T01:37:55.2681040Z del async_compile 2022-11-23T01:37:55.2681045Z 2022-11-23T01:37:55.2681101Z def call(args): 2022-11-23T01:37:55.2681174Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.2681244Z args.clear() 2022-11-23T01:37:55.2681444Z buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2681678Z buf2 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2681871Z buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2682083Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:55.2682154Z del arg0_1 2022-11-23T01:37:55.2682209Z del arg1_1 2022-11-23T01:37:55.2682290Z return (buf0, buf1, buf2, ) 2022-11-23T01:37:55.2682295Z 2022-11-23T01:37:55.2682299Z 2022-11-23T01:37:55.2682375Z if __name__ == "__main__": 2022-11-23T01:37:55.2682489Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.2682611Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.2682808Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2683004Z arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2683110Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.2683126Z 2022-11-23T01:37:55.2683179Z ok (1.584s) 2022-11-23T01:37:55.2683486Z test_rsqrt_cpu (__main__.CpuTests) ... [2022-11-23 01:34:31,084] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.2683765Z [2022-11-23 01:34:31,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.2683990Z [2022-11-23 01:34:31,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.2684247Z [2022-11-23 01:34:31,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.2684537Z [2022-11-23 01:34:31,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.2684863Z [2022-11-23 01:34:31,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.2685198Z [2022-11-23 01:34:31,084] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.2685294Z 2639 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.2685379Z 2 LOAD_METHOD 1 (rsqrt) 2022-11-23T01:37:55.2685467Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:55.2685555Z 6 CALL_METHOD 1 2022-11-23T01:37:55.2685647Z 8 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.2685737Z 10 LOAD_METHOD 1 (rsqrt) 2022-11-23T01:37:55.2685826Z 12 LOAD_FAST 0 (x) 2022-11-23T01:37:55.2685915Z 14 LOAD_CONST 1 (1) 2022-11-23T01:37:55.2685977Z 16 BINARY_ADD 2022-11-23T01:37:55.2686064Z 18 CALL_METHOD 1 2022-11-23T01:37:55.2686156Z 20 LOAD_CONST 2 (2) 2022-11-23T01:37:55.2686235Z 22 BINARY_SUBTRACT 2022-11-23T01:37:55.2686322Z 24 BUILD_TUPLE 2 2022-11-23T01:37:55.2686396Z 26 RETURN_VALUE 2022-11-23T01:37:55.2686455Z 2022-11-23T01:37:55.2686460Z 2022-11-23T01:37:55.2686753Z [2022-11-23 01:34:31,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2639 2022-11-23T01:37:55.2686982Z [2022-11-23 01:34:31,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.2687351Z [2022-11-23 01:34:31,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR rsqrt [TorchVariable()] 2022-11-23T01:37:55.2687672Z [2022-11-23 01:34:31,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:37:55.2688028Z [2022-11-23 01:34:31,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.2688311Z [2022-11-23 01:34:31,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:37:55.2688710Z [2022-11-23 01:34:31,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR rsqrt [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.2689060Z [2022-11-23 01:34:31,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.2689440Z [2022-11-23 01:34:31,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.2689866Z [2022-11-23 01:34:31,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2690254Z [2022-11-23 01:34:31,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.2690526Z [2022-11-23 01:34:31,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2690835Z [2022-11-23 01:34:31,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2691108Z [2022-11-23 01:34:31,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2691357Z [2022-11-23 01:34:31,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.2691694Z [2022-11-23 01:34:31,090] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.2691945Z [2022-11-23 01:34:31,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.2692183Z [2022-11-23 01:34:31,090] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.2692442Z [2022-11-23 01:34:31,092] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.2692696Z [2022-11-23 01:34:31,096] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.2692889Z [2022-11-23 01:34:31,096] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.2693023Z __compiled_fn_348 .2905 opcode, name, target, args, kwargs 2022-11-23T01:37:55.2693101Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.2693335Z call_function, rsqrt, , (ex_0_,), {} 2022-11-23T01:37:55.2693513Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:55.2693741Z call_function, rsqrt_1, , (add,), {} 2022-11-23T01:37:55.2693948Z call_function, sub, , (rsqrt_1, 2), {} 2022-11-23T01:37:55.2694056Z output, output, output, ((rsqrt, sub),), {} 2022-11-23T01:37:55.2694061Z 2022-11-23T01:37:55.2694341Z [2022-11-23 01:34:31,097] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2694435Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.2694513Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2694604Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.2694691Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.2694798Z 8 RETURN_VALUE 2022-11-23T01:37:55.2694804Z 2022-11-23T01:37:55.2694863Z 2022-11-23T01:37:55.2695139Z [2022-11-23 01:34:31,097] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2695250Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_348) 2022-11-23T01:37:55.2695329Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2695417Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2695493Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.2695579Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.2695682Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2695782Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2695869Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2695943Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.2696031Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2696119Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.2696195Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.2696285Z 24 BUILD_TUPLE 2 2022-11-23T01:37:55.2696360Z 26 RETURN_VALUE 2022-11-23T01:37:55.2696365Z 2022-11-23T01:37:55.2696425Z 2022-11-23T01:37:55.2696613Z [2022-11-23 01:34:31,098] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.2696673Z - 2022-11-23T01:37:55.2696794Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.2696859Z { 2022-11-23T01:37:55.2697003Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.2697193Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.2697318Z 'obj_weakref': None 2022-11-23T01:37:55.2697547Z 'guarded_class': 2022-11-23T01:37:55.2697598Z } 2022-11-23T01:37:55.2697661Z 2022-11-23T01:37:55.2697735Z - 2022-11-23T01:37:55.2697862Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.2697924Z { 2022-11-23T01:37:55.2698068Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2698178Z 'code': None, 2022-11-23T01:37:55.2698384Z 'obj_weakref': 2022-11-23T01:37:55.2698640Z 'guarded_class': 2022-11-23T01:37:55.2698706Z } 2022-11-23T01:37:55.2698964Z 2022-11-23T01:37:55.2699043Z - 2022-11-23T01:37:55.2699182Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.2699245Z { 2022-11-23T01:37:55.2699369Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.2699542Z 'code': ['___check_obj_id(model, 140538744183552)'], 2022-11-23T01:37:55.2699665Z 'obj_weakref': None 2022-11-23T01:37:55.2699905Z 'guarded_class': 2022-11-23T01:37:55.2699968Z } 2022-11-23T01:37:55.2700031Z 2022-11-23T01:37:55.2700102Z - 2022-11-23T01:37:55.2700213Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.2700276Z { 2022-11-23T01:37:55.2700479Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.2700703Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.2700826Z 'obj_weakref': None 2022-11-23T01:37:55.2701050Z 'guarded_class': 2022-11-23T01:37:55.2701115Z } 2022-11-23T01:37:55.2701164Z 2022-11-23T01:37:55.2701237Z - 2022-11-23T01:37:55.2701372Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.2701435Z { 2022-11-23T01:37:55.2701557Z 'guard_types': None, 2022-11-23T01:37:55.2701744Z 'code': None, 2022-11-23T01:37:55.2701863Z 'obj_weakref': None 2022-11-23T01:37:55.2701971Z 'guarded_class': None 2022-11-23T01:37:55.2702034Z } 2022-11-23T01:37:55.2702095Z 2022-11-23T01:37:55.2702363Z [2022-11-23 01:34:31,107] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 341 2022-11-23T01:37:55.2702738Z [2022-11-23 01:34:32,503] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i5/ci5cxmewlqels6mdgx66avi74xponwnruzmskqvurvm7px3nbjcv.py 2022-11-23T01:37:55.2703006Z [2022-11-23 01:34:32,503] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 341 2022-11-23T01:37:55.2703012Z 2022-11-23T01:37:55.2703107Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.2703175Z import torch 2022-11-23T01:37:55.2703230Z import random 2022-11-23T01:37:55.2703345Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.2703469Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.2703474Z 2022-11-23T01:37:55.2703556Z aten = torch.ops.aten 2022-11-23T01:37:55.2703691Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.2703783Z async_compile = AsyncCompile() 2022-11-23T01:37:55.2703788Z 2022-11-23T01:37:55.2703792Z 2022-11-23T01:37:55.2703931Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.2704126Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.2704246Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.2704344Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.2704440Z float* __restrict__ out_ptr1) 2022-11-23T01:37:55.2704503Z { 2022-11-23T01:37:55.2704582Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.2704642Z { 2022-11-23T01:37:55.2704779Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.2704852Z auto tmp1 = tmp0.sqrt(); 2022-11-23T01:37:55.2704942Z auto tmp2 = tmp1.reciprocal(); 2022-11-23T01:37:55.2705073Z auto tmp3 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:55.2705155Z auto tmp4 = tmp0 + tmp3; 2022-11-23T01:37:55.2705235Z auto tmp5 = tmp4.sqrt(); 2022-11-23T01:37:55.2705327Z auto tmp6 = tmp5.reciprocal(); 2022-11-23T01:37:55.2705452Z auto tmp7 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:37:55.2705561Z auto tmp8 = tmp6 - tmp7; 2022-11-23T01:37:55.2705649Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.2705733Z tmp8.store(out_ptr1 + 8*i0); 2022-11-23T01:37:55.2705795Z } 2022-11-23T01:37:55.2705880Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.2705961Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:37:55.2706021Z { 2022-11-23T01:37:55.2706089Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.2706178Z auto tmp1 = std::sqrt(tmp0); 2022-11-23T01:37:55.2706252Z auto tmp2 = 1 / tmp1; 2022-11-23T01:37:55.2706346Z auto tmp3 = static_cast(1); 2022-11-23T01:37:55.2706428Z auto tmp4 = tmp0 + tmp3; 2022-11-23T01:37:55.2706515Z auto tmp5 = std::sqrt(tmp4); 2022-11-23T01:37:55.2706590Z auto tmp6 = 1 / tmp5; 2022-11-23T01:37:55.2706701Z auto tmp7 = static_cast(2); 2022-11-23T01:37:55.2706825Z auto tmp8 = tmp6 - tmp7; 2022-11-23T01:37:55.2706902Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.2706976Z out_ptr1[i0] = tmp8; 2022-11-23T01:37:55.2707037Z } 2022-11-23T01:37:55.2707095Z } 2022-11-23T01:37:55.2707160Z ''') 2022-11-23T01:37:55.2707177Z 2022-11-23T01:37:55.2707181Z 2022-11-23T01:37:55.2707258Z async_compile.wait(globals()) 2022-11-23T01:37:55.2707330Z del async_compile 2022-11-23T01:37:55.2707335Z 2022-11-23T01:37:55.2707403Z def call(args): 2022-11-23T01:37:55.2707472Z arg0_1, = args 2022-11-23T01:37:55.2707589Z args.clear() 2022-11-23T01:37:55.2707789Z buf0 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2707985Z buf1 = empty_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2708232Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:55.2708308Z del arg0_1 2022-11-23T01:37:55.2708387Z return (buf0, buf1, ) 2022-11-23T01:37:55.2708392Z 2022-11-23T01:37:55.2708396Z 2022-11-23T01:37:55.2708473Z if __name__ == "__main__": 2022-11-23T01:37:55.2708587Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.2708708Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.2708907Z arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2709014Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.2709019Z 2022-11-23T01:37:55.2709072Z ok (1.426s) 2022-11-23T01:37:55.2709381Z test_scatter1_cpu (__main__.CpuTests) ... [2022-11-23 01:34:32,513] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.2709656Z [2022-11-23 01:34:32,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.2709881Z [2022-11-23 01:34:32,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.2710138Z [2022-11-23 01:34:32,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.2710430Z [2022-11-23 01:34:32,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.2710754Z [2022-11-23 01:34:32,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.2711082Z [2022-11-23 01:34:32,513] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.2711182Z 3670 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.2711266Z 2 LOAD_METHOD 1 (scatter) 2022-11-23T01:37:55.2711356Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.2711446Z 6 LOAD_FAST 1 (dim) 2022-11-23T01:37:55.2711537Z 8 LOAD_FAST 2 (index) 2022-11-23T01:37:55.2711624Z 10 LOAD_FAST 3 (b) 2022-11-23T01:37:55.2711712Z 12 CALL_METHOD 4 2022-11-23T01:37:55.2711786Z 14 RETURN_VALUE 2022-11-23T01:37:55.2711834Z 2022-11-23T01:37:55.2711853Z 2022-11-23T01:37:55.2712113Z [2022-11-23 01:34:32,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3670 2022-11-23T01:37:55.2712332Z [2022-11-23 01:34:32,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.2712650Z [2022-11-23 01:34:32,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter [TorchVariable()] 2022-11-23T01:37:55.2712911Z [2022-11-23 01:34:32,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter)] 2022-11-23T01:37:55.2713243Z [2022-11-23 01:34:32,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter), TensorVariable()] 2022-11-23T01:37:55.2713577Z [2022-11-23 01:34:32,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2713927Z [2022-11-23 01:34:32,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:37:55.2714316Z [2022-11-23 01:34:32,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2714604Z [2022-11-23 01:34:32,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.2714939Z [2022-11-23 01:34:32,521] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.2715178Z [2022-11-23 01:34:32,521] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.2715418Z [2022-11-23 01:34:32,521] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.2715679Z [2022-11-23 01:34:32,523] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.2715934Z [2022-11-23 01:34:32,526] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.2716127Z [2022-11-23 01:34:32,526] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.2716268Z __compiled_fn_349 .2911 opcode, name, target, args, kwargs 2022-11-23T01:37:55.2716359Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.2716450Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:37:55.2716522Z placeholder, ex_3_, ex_3_, (), {} 2022-11-23T01:37:55.2716712Z call_function, scatter, aten.scatter, (ex_0_, -1, ex_2_, ex_3_), {} 2022-11-23T01:37:55.2716821Z output, output, output, ((scatter,),), {} 2022-11-23T01:37:55.2716826Z 2022-11-23T01:37:55.2717109Z [2022-11-23 01:34:32,527] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2717207Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.2717299Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2717394Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.2717487Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.2717551Z 8 RETURN_VALUE 2022-11-23T01:37:55.2717558Z 2022-11-23T01:37:55.2717622Z 2022-11-23T01:37:55.2717899Z [2022-11-23 01:34:32,527] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2718011Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_349) 2022-11-23T01:37:55.2718102Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2718194Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2718275Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.2718364Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2718439Z 10 LOAD_CONST 2 (2) 2022-11-23T01:37:55.2718516Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.2718603Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2718691Z 16 LOAD_CONST 3 (3) 2022-11-23T01:37:55.2718768Z 18 BINARY_SUBSCR 2022-11-23T01:37:55.2718859Z 20 CALL_FUNCTION 3 2022-11-23T01:37:55.2718957Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.2719019Z 24 RETURN_VALUE 2022-11-23T01:37:55.2719025Z 2022-11-23T01:37:55.2719082Z 2022-11-23T01:37:55.2719270Z [2022-11-23 01:34:32,528] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.2719343Z - 2022-11-23T01:37:55.2719467Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.2719569Z { 2022-11-23T01:37:55.2719717Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.2719893Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 4'], 2022-11-23T01:37:55.2720018Z 'obj_weakref': None 2022-11-23T01:37:55.2720247Z 'guarded_class': 2022-11-23T01:37:55.2720315Z } 2022-11-23T01:37:55.2720379Z 2022-11-23T01:37:55.2720449Z - 2022-11-23T01:37:55.2720581Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.2720632Z { 2022-11-23T01:37:55.2720808Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2720918Z 'code': None, 2022-11-23T01:37:55.2721133Z 'obj_weakref': 2022-11-23T01:37:55.2721390Z 'guarded_class': 2022-11-23T01:37:55.2721456Z } 2022-11-23T01:37:55.2721517Z 2022-11-23T01:37:55.2721575Z - 2022-11-23T01:37:55.2721707Z local 'ex[1]' CONSTANT_MATCH 2022-11-23T01:37:55.2721771Z { 2022-11-23T01:37:55.2721915Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.2722107Z 'code': ['___check_type_id(ex[1], 93851402553120)', 'ex[1] == -1'], 2022-11-23T01:37:55.2722228Z 'obj_weakref': None 2022-11-23T01:37:55.2722450Z 'guarded_class': 2022-11-23T01:37:55.2722503Z } 2022-11-23T01:37:55.2722566Z 2022-11-23T01:37:55.2722636Z - 2022-11-23T01:37:55.2722762Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:37:55.2722824Z { 2022-11-23T01:37:55.2722968Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2723076Z 'code': None, 2022-11-23T01:37:55.2723278Z 'obj_weakref': 2022-11-23T01:37:55.2723533Z 'guarded_class': 2022-11-23T01:37:55.2723597Z } 2022-11-23T01:37:55.2723658Z 2022-11-23T01:37:55.2723728Z - 2022-11-23T01:37:55.2723853Z local 'ex[3]' TENSOR_MATCH 2022-11-23T01:37:55.2723917Z { 2022-11-23T01:37:55.2724049Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2724159Z 'code': None, 2022-11-23T01:37:55.2724376Z 'obj_weakref': 2022-11-23T01:37:55.2724636Z 'guarded_class': 2022-11-23T01:37:55.2724700Z } 2022-11-23T01:37:55.2724762Z 2022-11-23T01:37:55.2724831Z - 2022-11-23T01:37:55.2724952Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.2725018Z { 2022-11-23T01:37:55.2725153Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.2725328Z 'code': ['___check_obj_id(model, 140539072863408)'], 2022-11-23T01:37:55.2725448Z 'obj_weakref': None 2022-11-23T01:37:55.2725682Z 'guarded_class': 2022-11-23T01:37:55.2725745Z } 2022-11-23T01:37:55.2725795Z 2022-11-23T01:37:55.2725863Z - 2022-11-23T01:37:55.2725985Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.2726050Z { 2022-11-23T01:37:55.2726188Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.2726409Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.2726534Z 'obj_weakref': None 2022-11-23T01:37:55.2726772Z 'guarded_class': 2022-11-23T01:37:55.2726836Z } 2022-11-23T01:37:55.2726898Z 2022-11-23T01:37:55.2726969Z - 2022-11-23T01:37:55.2727102Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.2727164Z { 2022-11-23T01:37:55.2727285Z 'guard_types': None, 2022-11-23T01:37:55.2727381Z 'code': None, 2022-11-23T01:37:55.2727500Z 'obj_weakref': None 2022-11-23T01:37:55.2727621Z 'guarded_class': None 2022-11-23T01:37:55.2727683Z } 2022-11-23T01:37:55.2727743Z 2022-11-23T01:37:55.2728040Z [2022-11-23 01:34:32,534] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 342 2022-11-23T01:37:55.2728415Z [2022-11-23 01:34:33,907] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/d3/cd35abr3su2svho5oddjctdkuvw5bympcuotmsubw5pla3uk4rz4.py 2022-11-23T01:37:55.2728671Z [2022-11-23 01:34:33,907] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 342 2022-11-23T01:37:55.2728690Z 2022-11-23T01:37:55.2728773Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.2728842Z import torch 2022-11-23T01:37:55.2728909Z import random 2022-11-23T01:37:55.2729023Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.2729146Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.2729152Z 2022-11-23T01:37:55.2729228Z aten = torch.ops.aten 2022-11-23T01:37:55.2729361Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.2729441Z async_compile = AsyncCompile() 2022-11-23T01:37:55.2729448Z 2022-11-23T01:37:55.2729463Z 2022-11-23T01:37:55.2729585Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.2729790Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.2729910Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.2730016Z const long* __restrict__ in_ptr1, 2022-11-23T01:37:55.2730120Z const float* __restrict__ in_ptr2, 2022-11-23T01:37:55.2730217Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.2730277Z { 2022-11-23T01:37:55.2730341Z #pragma GCC ivdep 2022-11-23T01:37:55.2730420Z for(long i0=0; i0<6; i0+=1) 2022-11-23T01:37:55.2730483Z { 2022-11-23T01:37:55.2730545Z { 2022-11-23T01:37:55.2730609Z { 2022-11-23T01:37:55.2730697Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.2730766Z out_ptr0[i0] = tmp0; 2022-11-23T01:37:55.2730857Z } 2022-11-23T01:37:55.2730956Z } 2022-11-23T01:37:55.2731052Z } 2022-11-23T01:37:55.2731146Z { 2022-11-23T01:37:55.2731225Z { 2022-11-23T01:37:55.2731311Z auto tmp0 = in_ptr1[0]; 2022-11-23T01:37:55.2731380Z auto tmp1 = in_ptr2[0]; 2022-11-23T01:37:55.2731463Z out_ptr0[tmp0] = tmp1; 2022-11-23T01:37:55.2731524Z } 2022-11-23T01:37:55.2731584Z } 2022-11-23T01:37:55.2731641Z } 2022-11-23T01:37:55.2731723Z ''') 2022-11-23T01:37:55.2731728Z 2022-11-23T01:37:55.2731733Z 2022-11-23T01:37:55.2731822Z async_compile.wait(globals()) 2022-11-23T01:37:55.2731881Z del async_compile 2022-11-23T01:37:55.2731886Z 2022-11-23T01:37:55.2731954Z def call(args): 2022-11-23T01:37:55.2732037Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:55.2732107Z args.clear() 2022-11-23T01:37:55.2732306Z buf0 = empty_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2732494Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.2732565Z del arg0_1 2022-11-23T01:37:55.2732619Z del arg1_1 2022-11-23T01:37:55.2732683Z del arg2_1 2022-11-23T01:37:55.2732753Z return (buf0, ) 2022-11-23T01:37:55.2732758Z 2022-11-23T01:37:55.2732762Z 2022-11-23T01:37:55.2732836Z if __name__ == "__main__": 2022-11-23T01:37:55.2732991Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.2733115Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.2733315Z arg0_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2733511Z arg1_1 = rand_strided((1, 1), (1, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.2733693Z arg2_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2733815Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:55.2733820Z 2022-11-23T01:37:55.2733884Z ok (1.404s) 2022-11-23T01:37:55.2734230Z test_scatter2_cpu (__main__.CpuTests) ... [2022-11-23 01:34:33,916] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.2734502Z [2022-11-23 01:34:33,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.2734725Z [2022-11-23 01:34:33,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.2734982Z [2022-11-23 01:34:33,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.2735270Z [2022-11-23 01:34:33,916] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.2735596Z [2022-11-23 01:34:33,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.2735913Z [2022-11-23 01:34:33,917] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.2736013Z 3687 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.2736107Z 2 LOAD_ATTR 1 (scatter) 2022-11-23T01:37:55.2736198Z 4 LOAD_ATTR 2 (reduce) 2022-11-23T01:37:55.2736288Z 6 LOAD_FAST 0 (a) 2022-11-23T01:37:55.2736378Z 8 LOAD_FAST 1 (dim) 2022-11-23T01:37:55.2736469Z 10 LOAD_FAST 2 (index) 2022-11-23T01:37:55.2736556Z 12 LOAD_FAST 3 (b) 2022-11-23T01:37:55.2736685Z 14 LOAD_CONST 1 ('add') 2022-11-23T01:37:55.2736835Z 16 LOAD_CONST 2 (('reduce',)) 2022-11-23T01:37:55.2736928Z 18 CALL_FUNCTION_KW 5 2022-11-23T01:37:55.2737003Z 20 RETURN_VALUE 2022-11-23T01:37:55.2737063Z 2022-11-23T01:37:55.2737068Z 2022-11-23T01:37:55.2737343Z [2022-11-23 01:34:33,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3687 2022-11-23T01:37:55.2737563Z [2022-11-23 01:34:33,917] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.2737878Z [2022-11-23 01:34:33,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter [TorchVariable()] 2022-11-23T01:37:55.2738130Z [2022-11-23 01:34:33,923] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR reduce [TorchVariable(aten.scatter)] 2022-11-23T01:37:55.2738401Z [2022-11-23 01:34:33,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter.reduce)] 2022-11-23T01:37:55.2738704Z [2022-11-23 01:34:33,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter.reduce), TensorVariable()] 2022-11-23T01:37:55.2739305Z [2022-11-23 01:34:33,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter.reduce), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2739679Z [2022-11-23 01:34:33,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter.reduce), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:37:55.2740141Z [2022-11-23 01:34:33,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST add [TorchVariable(aten.scatter.reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2740601Z [2022-11-23 01:34:33,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('reduce',) [TorchVariable(aten.scatter.reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:37:55.2741093Z [2022-11-23 01:34:33,924] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(aten.scatter.reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:37:55.2741390Z [2022-11-23 01:34:33,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.2741839Z [2022-11-23 01:34:33,925] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.2742178Z [2022-11-23 01:34:33,925] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.2742421Z [2022-11-23 01:34:33,925] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.2742665Z [2022-11-23 01:34:33,927] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.2742913Z [2022-11-23 01:34:33,930] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.2743107Z [2022-11-23 01:34:33,930] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.2743244Z __compiled_fn_350 .2917 opcode, name, target, args, kwargs 2022-11-23T01:37:55.2743333Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.2743419Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:37:55.2743501Z placeholder, ex_3_, ex_3_, (), {} 2022-11-23T01:37:55.2743738Z call_function, scatter_reduce, aten.scatter.reduce, (ex_0_, 0, ex_2_, ex_3_), {'reduce': 'add'} 2022-11-23T01:37:55.2743839Z output, output, output, ((scatter_reduce,),), {} 2022-11-23T01:37:55.2743845Z 2022-11-23T01:37:55.2744126Z [2022-11-23 01:34:33,931] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2744220Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.2744311Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2744404Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.2744495Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.2744572Z 8 RETURN_VALUE 2022-11-23T01:37:55.2744580Z 2022-11-23T01:37:55.2744640Z 2022-11-23T01:37:55.2744906Z [2022-11-23 01:34:33,931] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2745016Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_350) 2022-11-23T01:37:55.2745105Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2745196Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2745274Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.2745362Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2745449Z 10 LOAD_CONST 2 (2) 2022-11-23T01:37:55.2745511Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.2745595Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2745679Z 16 LOAD_CONST 3 (3) 2022-11-23T01:37:55.2745753Z 18 BINARY_SUBSCR 2022-11-23T01:37:55.2745840Z 20 CALL_FUNCTION 3 2022-11-23T01:37:55.2745932Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.2746007Z 24 RETURN_VALUE 2022-11-23T01:37:55.2746012Z 2022-11-23T01:37:55.2746058Z 2022-11-23T01:37:55.2746242Z [2022-11-23 01:34:33,932] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.2746316Z - 2022-11-23T01:37:55.2746437Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.2746540Z { 2022-11-23T01:37:55.2746687Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.2746877Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 4'], 2022-11-23T01:37:55.2746986Z 'obj_weakref': None 2022-11-23T01:37:55.2747211Z 'guarded_class': 2022-11-23T01:37:55.2747275Z } 2022-11-23T01:37:55.2747337Z 2022-11-23T01:37:55.2747406Z - 2022-11-23T01:37:55.2747534Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.2747632Z { 2022-11-23T01:37:55.2747766Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2747874Z 'code': None, 2022-11-23T01:37:55.2748088Z 'obj_weakref': 2022-11-23T01:37:55.2748446Z 'guarded_class': 2022-11-23T01:37:55.2748511Z } 2022-11-23T01:37:55.2748573Z 2022-11-23T01:37:55.2748643Z - 2022-11-23T01:37:55.2748763Z local 'ex[1]' CONSTANT_MATCH 2022-11-23T01:37:55.2748828Z { 2022-11-23T01:37:55.2748976Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.2749166Z 'code': ['___check_type_id(ex[1], 93851402553120)', 'ex[1] == 0'], 2022-11-23T01:37:55.2749289Z 'obj_weakref': None 2022-11-23T01:37:55.2749514Z 'guarded_class': 2022-11-23T01:37:55.2749580Z } 2022-11-23T01:37:55.2749628Z 2022-11-23T01:37:55.2749697Z - 2022-11-23T01:37:55.2749827Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:37:55.2749891Z { 2022-11-23T01:37:55.2750034Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2750145Z 'code': None, 2022-11-23T01:37:55.2750363Z 'obj_weakref': 2022-11-23T01:37:55.2750607Z 'guarded_class': 2022-11-23T01:37:55.2750670Z } 2022-11-23T01:37:55.2750732Z 2022-11-23T01:37:55.2750801Z - 2022-11-23T01:37:55.2750926Z local 'ex[3]' TENSOR_MATCH 2022-11-23T01:37:55.2750989Z { 2022-11-23T01:37:55.2751133Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2751230Z 'code': None, 2022-11-23T01:37:55.2751445Z 'obj_weakref': 2022-11-23T01:37:55.2751697Z 'guarded_class': 2022-11-23T01:37:55.2751759Z } 2022-11-23T01:37:55.2751819Z 2022-11-23T01:37:55.2751889Z - 2022-11-23T01:37:55.2752023Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.2752075Z { 2022-11-23T01:37:55.2752210Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.2752387Z 'code': ['___check_obj_id(model, 140539050103296)'], 2022-11-23T01:37:55.2752507Z 'obj_weakref': None 2022-11-23T01:37:55.2752739Z 'guarded_class': 2022-11-23T01:37:55.2752801Z } 2022-11-23T01:37:55.2752861Z 2022-11-23T01:37:55.2752917Z - 2022-11-23T01:37:55.2753039Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.2753106Z { 2022-11-23T01:37:55.2753248Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.2753473Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.2753595Z 'obj_weakref': None 2022-11-23T01:37:55.2753857Z 'guarded_class': 2022-11-23T01:37:55.2753910Z } 2022-11-23T01:37:55.2753973Z 2022-11-23T01:37:55.2754046Z - 2022-11-23T01:37:55.2754184Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.2754250Z { 2022-11-23T01:37:55.2754373Z 'guard_types': None, 2022-11-23T01:37:55.2754485Z 'code': None, 2022-11-23T01:37:55.2754592Z 'obj_weakref': None 2022-11-23T01:37:55.2754716Z 'guarded_class': None 2022-11-23T01:37:55.2754782Z } 2022-11-23T01:37:55.2754845Z 2022-11-23T01:37:55.2755167Z [2022-11-23 01:34:33,938] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 343 2022-11-23T01:37:55.2755546Z [2022-11-23 01:34:35,320] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ik/cikzmnexhrzxwkvux5lqjklu4nr46rp6ptxwkhpzxagrr6jmxwpz.py 2022-11-23T01:37:55.2755818Z [2022-11-23 01:34:35,321] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 343 2022-11-23T01:37:55.2755824Z 2022-11-23T01:37:55.2755921Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.2755978Z import torch 2022-11-23T01:37:55.2756051Z import random 2022-11-23T01:37:55.2756167Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.2756290Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.2756295Z 2022-11-23T01:37:55.2756374Z aten = torch.ops.aten 2022-11-23T01:37:55.2756510Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.2756604Z async_compile = AsyncCompile() 2022-11-23T01:37:55.2756612Z 2022-11-23T01:37:55.2756616Z 2022-11-23T01:37:55.2756755Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.2756947Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.2757069Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.2757176Z const long* __restrict__ in_ptr1, 2022-11-23T01:37:55.2757285Z const float* __restrict__ in_ptr2, 2022-11-23T01:37:55.2757386Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.2757447Z { 2022-11-23T01:37:55.2757530Z for(long i0=0; i0<4096; i0+=1) 2022-11-23T01:37:55.2757579Z { 2022-11-23T01:37:55.2757722Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.2757814Z tmp0.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.2757876Z } 2022-11-23T01:37:55.2757968Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.2758056Z for(long i0=32768; i0<32768; i0+=1) 2022-11-23T01:37:55.2758118Z { 2022-11-23T01:37:55.2758186Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.2758266Z out_ptr0[i0] = tmp0; 2022-11-23T01:37:55.2758327Z } 2022-11-23T01:37:55.2758405Z #pragma GCC ivdep 2022-11-23T01:37:55.2758486Z for(long i0=0; i0<64; i0+=1) 2022-11-23T01:37:55.2758548Z { 2022-11-23T01:37:55.2758615Z #pragma GCC ivdep 2022-11-23T01:37:55.2758699Z for(long i1=0; i1<512; i1+=1) 2022-11-23T01:37:55.2758764Z { 2022-11-23T01:37:55.2758828Z { 2022-11-23T01:37:55.2758893Z { 2022-11-23T01:37:55.2758993Z auto tmp0 = in_ptr1[i1 + (512*i0)]; 2022-11-23T01:37:55.2759090Z auto tmp1 = in_ptr2[i1 + (512*i0)]; 2022-11-23T01:37:55.2759174Z out_ptr0[i1 + (512*tmp0)] += tmp1; 2022-11-23T01:37:55.2759237Z } 2022-11-23T01:37:55.2759299Z } 2022-11-23T01:37:55.2759362Z } 2022-11-23T01:37:55.2759425Z } 2022-11-23T01:37:55.2759483Z } 2022-11-23T01:37:55.2759562Z ''') 2022-11-23T01:37:55.2759567Z 2022-11-23T01:37:55.2759571Z 2022-11-23T01:37:55.2759647Z async_compile.wait(globals()) 2022-11-23T01:37:55.2759719Z del async_compile 2022-11-23T01:37:55.2759724Z 2022-11-23T01:37:55.2759792Z def call(args): 2022-11-23T01:37:55.2759875Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:55.2759981Z args.clear() 2022-11-23T01:37:55.2760190Z buf0 = empty_strided((64, 512), (512, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2760380Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.2760449Z del arg0_1 2022-11-23T01:37:55.2760502Z del arg1_1 2022-11-23T01:37:55.2760566Z del arg2_1 2022-11-23T01:37:55.2760636Z return (buf0, ) 2022-11-23T01:37:55.2760641Z 2022-11-23T01:37:55.2760645Z 2022-11-23T01:37:55.2760719Z if __name__ == "__main__": 2022-11-23T01:37:55.2760868Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.2760992Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.2761200Z arg0_1 = rand_strided((64, 512), (512, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2761391Z arg1_1 = rand_strided((64, 512), (512, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.2761597Z arg2_1 = rand_strided((64, 512), (512, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2761720Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:55.2761725Z 2022-11-23T01:37:55.2761794Z ok (1.415s) 2022-11-23T01:37:55.2762101Z test_scatter3_cpu (__main__.CpuTests) ... [2022-11-23 01:34:35,330] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.2762375Z [2022-11-23 01:34:35,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.2762594Z [2022-11-23 01:34:35,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.2762854Z [2022-11-23 01:34:35,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.2763144Z [2022-11-23 01:34:35,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.2763456Z [2022-11-23 01:34:35,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.2763787Z [2022-11-23 01:34:35,331] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.2763884Z 3701 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.2763979Z 2 LOAD_ATTR 1 (scatter) 2022-11-23T01:37:55.2764067Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.2764156Z 6 LOAD_FAST 1 (dim) 2022-11-23T01:37:55.2764248Z 8 LOAD_FAST 2 (index) 2022-11-23T01:37:55.2764335Z 10 LOAD_FAST 3 (b) 2022-11-23T01:37:55.2764463Z 12 LOAD_CONST 1 ('add') 2022-11-23T01:37:55.2764616Z 14 LOAD_CONST 2 (('reduce',)) 2022-11-23T01:37:55.2764711Z 16 CALL_FUNCTION_KW 5 2022-11-23T01:37:55.2764786Z 18 RETURN_VALUE 2022-11-23T01:37:55.2764846Z 2022-11-23T01:37:55.2764851Z 2022-11-23T01:37:55.2765124Z [2022-11-23 01:34:35,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3701 2022-11-23T01:37:55.2765345Z [2022-11-23 01:34:35,331] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.2765658Z [2022-11-23 01:34:35,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter [TorchVariable()] 2022-11-23T01:37:55.2765907Z [2022-11-23 01:34:35,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter)] 2022-11-23T01:37:55.2766198Z [2022-11-23 01:34:35,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter), TensorVariable()] 2022-11-23T01:37:55.2766555Z [2022-11-23 01:34:35,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2766911Z [2022-11-23 01:34:35,337] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:37:55.2767308Z [2022-11-23 01:34:35,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST add [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:37:55.2767754Z [2022-11-23 01:34:35,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('reduce',) [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(float), ConstantVariable(str)] 2022-11-23T01:37:55.2768270Z [2022-11-23 01:34:35,338] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(aten.scatter), TensorVariable(), ConstantVariable(int), TensorVariable(), ConstantVariable(float), ConstantVariable(str), ConstantVariable(tuple)] 2022-11-23T01:37:55.2768522Z [2022-11-23 01:34:35,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.2768853Z [2022-11-23 01:34:35,339] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.2769101Z [2022-11-23 01:34:35,339] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.2769337Z [2022-11-23 01:34:35,339] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.2769594Z [2022-11-23 01:34:35,340] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.2769835Z [2022-11-23 01:34:35,343] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.2770025Z [2022-11-23 01:34:35,344] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.2770163Z __compiled_fn_351 .2923 opcode, name, target, args, kwargs 2022-11-23T01:37:55.2770253Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.2770339Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:37:55.2770545Z call_function, scatter, aten.scatter, (ex_0_, 2, ex_2_, 0.8), {'reduce': 'add'} 2022-11-23T01:37:55.2770645Z output, output, output, ((scatter,),), {} 2022-11-23T01:37:55.2770650Z 2022-11-23T01:37:55.2770929Z [2022-11-23 01:34:35,344] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2771012Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.2771104Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2771194Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.2771283Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.2771358Z 8 RETURN_VALUE 2022-11-23T01:37:55.2771364Z 2022-11-23T01:37:55.2771422Z 2022-11-23T01:37:55.2771700Z [2022-11-23 01:34:35,344] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2771811Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_351) 2022-11-23T01:37:55.2771888Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2771976Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2772052Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.2772139Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2772223Z 10 LOAD_CONST 2 (2) 2022-11-23T01:37:55.2772300Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.2772395Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.2772473Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.2772545Z 18 RETURN_VALUE 2022-11-23T01:37:55.2772552Z 2022-11-23T01:37:55.2772613Z 2022-11-23T01:37:55.2772798Z [2022-11-23 01:34:35,345] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.2772899Z - 2022-11-23T01:37:55.2773025Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.2773088Z { 2022-11-23T01:37:55.2773218Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.2773410Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 4'], 2022-11-23T01:37:55.2773532Z 'obj_weakref': None 2022-11-23T01:37:55.2773757Z 'guarded_class': 2022-11-23T01:37:55.2773823Z } 2022-11-23T01:37:55.2773884Z 2022-11-23T01:37:55.2773986Z - 2022-11-23T01:37:55.2774101Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.2774164Z { 2022-11-23T01:37:55.2774307Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2774415Z 'code': None, 2022-11-23T01:37:55.2774629Z 'obj_weakref': 2022-11-23T01:37:55.2774885Z 'guarded_class': 2022-11-23T01:37:55.2774948Z } 2022-11-23T01:37:55.2774999Z 2022-11-23T01:37:55.2775068Z - 2022-11-23T01:37:55.2775199Z local 'ex[1]' CONSTANT_MATCH 2022-11-23T01:37:55.2775261Z { 2022-11-23T01:37:55.2775406Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.2775595Z 'code': ['___check_type_id(ex[1], 93851402553120)', 'ex[1] == 2'], 2022-11-23T01:37:55.2775713Z 'obj_weakref': None 2022-11-23T01:37:55.2775926Z 'guarded_class': 2022-11-23T01:37:55.2775989Z } 2022-11-23T01:37:55.2776051Z 2022-11-23T01:37:55.2776122Z - 2022-11-23T01:37:55.2776250Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:37:55.2776313Z { 2022-11-23T01:37:55.2776456Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2776553Z 'code': None, 2022-11-23T01:37:55.2776766Z 'obj_weakref': 2022-11-23T01:37:55.2777018Z 'guarded_class': 2022-11-23T01:37:55.2777081Z } 2022-11-23T01:37:55.2777144Z 2022-11-23T01:37:55.2777213Z - 2022-11-23T01:37:55.2777343Z local 'ex[3]' CONSTANT_MATCH 2022-11-23T01:37:55.2777394Z { 2022-11-23T01:37:55.2777537Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.2777730Z 'code': ['___check_type_id(ex[3], 93851402560064)', 'ex[3] == 0.8'], 2022-11-23T01:37:55.2777851Z 'obj_weakref': None 2022-11-23T01:37:55.2778071Z 'guarded_class': 2022-11-23T01:37:55.2778133Z } 2022-11-23T01:37:55.2778196Z 2022-11-23T01:37:55.2778254Z - 2022-11-23T01:37:55.2778385Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.2778447Z { 2022-11-23T01:37:55.2778582Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.2778889Z 'code': ['___check_obj_id(model, 140539048851072)'], 2022-11-23T01:37:55.2779041Z 'obj_weakref': None 2022-11-23T01:37:55.2779276Z 'guarded_class': 2022-11-23T01:37:55.2779327Z } 2022-11-23T01:37:55.2779389Z 2022-11-23T01:37:55.2779465Z - 2022-11-23T01:37:55.2779592Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.2779660Z { 2022-11-23T01:37:55.2779798Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.2780017Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.2780126Z 'obj_weakref': None 2022-11-23T01:37:55.2780417Z 'guarded_class': 2022-11-23T01:37:55.2780483Z } 2022-11-23T01:37:55.2780544Z 2022-11-23T01:37:55.2780622Z - 2022-11-23T01:37:55.2780756Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.2780819Z { 2022-11-23T01:37:55.2780928Z 'guard_types': None, 2022-11-23T01:37:55.2781036Z 'code': None, 2022-11-23T01:37:55.2781156Z 'obj_weakref': None 2022-11-23T01:37:55.2781281Z 'guarded_class': None 2022-11-23T01:37:55.2781387Z } 2022-11-23T01:37:55.2781449Z 2022-11-23T01:37:55.2781712Z [2022-11-23 01:34:35,351] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 344 2022-11-23T01:37:55.2782077Z [2022-11-23 01:34:36,738] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zd/czdmjuqeyewpjfxpc2omokxvnlceunziybazcmswi2gmp3efzkzt.py 2022-11-23T01:37:55.2782345Z [2022-11-23 01:34:36,738] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 344 2022-11-23T01:37:55.2782351Z 2022-11-23T01:37:55.2782447Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.2782515Z import torch 2022-11-23T01:37:55.2782583Z import random 2022-11-23T01:37:55.2782697Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.2782818Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.2782823Z 2022-11-23T01:37:55.2782901Z aten = torch.ops.aten 2022-11-23T01:37:55.2783021Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.2783115Z async_compile = AsyncCompile() 2022-11-23T01:37:55.2783120Z 2022-11-23T01:37:55.2783125Z 2022-11-23T01:37:55.2783261Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.2783465Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.2783588Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.2783694Z const long* __restrict__ in_ptr1, 2022-11-23T01:37:55.2783794Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.2783855Z { 2022-11-23T01:37:55.2783924Z for(long i0=0; i0<235; i0+=1) 2022-11-23T01:37:55.2783985Z { 2022-11-23T01:37:55.2784122Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.2784211Z tmp0.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.2784271Z } 2022-11-23T01:37:55.2784359Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.2784439Z for(long i0=1880; i0<1885; i0+=1) 2022-11-23T01:37:55.2784492Z { 2022-11-23T01:37:55.2784573Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.2784649Z out_ptr0[i0] = tmp0; 2022-11-23T01:37:55.2784710Z } 2022-11-23T01:37:55.2784784Z #pragma GCC ivdep 2022-11-23T01:37:55.2784863Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:55.2784912Z { 2022-11-23T01:37:55.2784975Z { 2022-11-23T01:37:55.2785038Z { 2022-11-23T01:37:55.2785126Z auto tmp0 = in_ptr1[i0]; 2022-11-23T01:37:55.2785229Z auto tmp1 = static_cast(0.8); 2022-11-23T01:37:55.2785312Z out_ptr0[tmp0] += tmp1; 2022-11-23T01:37:55.2785376Z } 2022-11-23T01:37:55.2785426Z } 2022-11-23T01:37:55.2785486Z } 2022-11-23T01:37:55.2785546Z } 2022-11-23T01:37:55.2785624Z ''') 2022-11-23T01:37:55.2785630Z 2022-11-23T01:37:55.2785634Z 2022-11-23T01:37:55.2785721Z async_compile.wait(globals()) 2022-11-23T01:37:55.2785793Z del async_compile 2022-11-23T01:37:55.2785800Z 2022-11-23T01:37:55.2785871Z def call(args): 2022-11-23T01:37:55.2785934Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.2786004Z args.clear() 2022-11-23T01:37:55.2786214Z buf0 = empty_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2786407Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.2786478Z del arg0_1 2022-11-23T01:37:55.2786543Z del arg1_1 2022-11-23T01:37:55.2786614Z return (buf0, ) 2022-11-23T01:37:55.2786619Z 2022-11-23T01:37:55.2786623Z 2022-11-23T01:37:55.2786698Z if __name__ == "__main__": 2022-11-23T01:37:55.2786799Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.2786920Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.2787134Z arg0_1 = rand_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2787336Z arg1_1 = rand_strided((1, 1, 4), (4, 4, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.2787484Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.2787489Z 2022-11-23T01:37:55.2787555Z ok (1.416s) 2022-11-23T01:37:55.2787862Z test_scatter4_cpu (__main__.CpuTests) ... [2022-11-23 01:34:36,749] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.2788224Z [2022-11-23 01:34:36,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.2788439Z [2022-11-23 01:34:36,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.2788696Z [2022-11-23 01:34:36,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.2788984Z [2022-11-23 01:34:36,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.2789314Z [2022-11-23 01:34:36,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.2789649Z [2022-11-23 01:34:36,750] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.2789747Z 3720 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.2789846Z 2 LOAD_METHOD 1 (scatter) 2022-11-23T01:37:55.2789938Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:55.2790027Z 6 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2790106Z 8 LOAD_FAST 1 (ind) 2022-11-23T01:37:55.2790198Z 10 LOAD_FAST 2 (src) 2022-11-23T01:37:55.2790287Z 12 CALL_METHOD 4 2022-11-23T01:37:55.2790363Z 14 RETURN_VALUE 2022-11-23T01:37:55.2790423Z 2022-11-23T01:37:55.2790428Z 2022-11-23T01:37:55.2790703Z [2022-11-23 01:34:36,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3720 2022-11-23T01:37:55.2790929Z [2022-11-23 01:34:36,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.2791307Z [2022-11-23 01:34:36,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter [TorchVariable()] 2022-11-23T01:37:55.2791623Z [2022-11-23 01:34:36,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:37:55.2791980Z [2022-11-23 01:34:36,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.2792373Z [2022-11-23 01:34:36,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ind [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2792941Z [2022-11-23 01:34:36,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST src [TorchVariable(), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:37:55.2793443Z [2022-11-23 01:34:36,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2793698Z [2022-11-23 01:34:36,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.2794034Z [2022-11-23 01:34:36,752] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.2794283Z [2022-11-23 01:34:36,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.2794558Z [2022-11-23 01:34:36,752] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.2794820Z [2022-11-23 01:34:36,753] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.2795077Z [2022-11-23 01:34:36,757] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.2795271Z [2022-11-23 01:34:36,757] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.2795394Z __compiled_fn_352 .2929 opcode, name, target, args, kwargs 2022-11-23T01:37:55.2795486Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.2795573Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.2795659Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:37:55.2795920Z call_function, scatter, , (ex_0_, 0, ex_1_, ex_2_), {} 2022-11-23T01:37:55.2796022Z output, output, output, ((scatter,),), {} 2022-11-23T01:37:55.2796030Z 2022-11-23T01:37:55.2796309Z [2022-11-23 01:34:36,758] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2796406Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.2796485Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2796580Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.2796672Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.2796746Z 8 RETURN_VALUE 2022-11-23T01:37:55.2796752Z 2022-11-23T01:37:55.2796817Z 2022-11-23T01:37:55.2797096Z [2022-11-23 01:34:36,758] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2797206Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_352) 2022-11-23T01:37:55.2797283Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2797373Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2797453Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.2797545Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2797633Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.2797710Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.2797799Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2797872Z 16 LOAD_CONST 3 (2) 2022-11-23T01:37:55.2797950Z 18 BINARY_SUBSCR 2022-11-23T01:37:55.2798041Z 20 CALL_FUNCTION 3 2022-11-23T01:37:55.2798133Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.2798208Z 24 RETURN_VALUE 2022-11-23T01:37:55.2798213Z 2022-11-23T01:37:55.2798274Z 2022-11-23T01:37:55.2798467Z [2022-11-23 01:34:36,759] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.2798529Z - 2022-11-23T01:37:55.2798653Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.2798720Z { 2022-11-23T01:37:55.2798866Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.2799061Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 3'], 2022-11-23T01:37:55.2799185Z 'obj_weakref': None 2022-11-23T01:37:55.2799416Z 'guarded_class': 2022-11-23T01:37:55.2799481Z } 2022-11-23T01:37:55.2799564Z 2022-11-23T01:37:55.2799638Z - 2022-11-23T01:37:55.2799769Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.2799834Z { 2022-11-23T01:37:55.2799982Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2800095Z 'code': None, 2022-11-23T01:37:55.2800299Z 'obj_weakref': 2022-11-23T01:37:55.2800561Z 'guarded_class': 2022-11-23T01:37:55.2800626Z } 2022-11-23T01:37:55.2800739Z 2022-11-23T01:37:55.2800813Z - 2022-11-23T01:37:55.2800940Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.2801005Z { 2022-11-23T01:37:55.2801137Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2801245Z 'code': None, 2022-11-23T01:37:55.2801464Z 'obj_weakref': 2022-11-23T01:37:55.2801720Z 'guarded_class': 2022-11-23T01:37:55.2801785Z } 2022-11-23T01:37:55.2801847Z 2022-11-23T01:37:55.2801915Z - 2022-11-23T01:37:55.2802027Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:37:55.2802089Z { 2022-11-23T01:37:55.2802233Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2802342Z 'code': None, 2022-11-23T01:37:55.2802555Z 'obj_weakref': 2022-11-23T01:37:55.2802814Z 'guarded_class': 2022-11-23T01:37:55.2802878Z } 2022-11-23T01:37:55.2802939Z 2022-11-23T01:37:55.2802997Z - 2022-11-23T01:37:55.2803150Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.2803255Z { 2022-11-23T01:37:55.2803460Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.2803742Z 'code': ['___check_obj_id(model, 140539050186656)'], 2022-11-23T01:37:55.2803880Z 'obj_weakref': None 2022-11-23T01:37:55.2804113Z 'guarded_class': 2022-11-23T01:37:55.2804164Z } 2022-11-23T01:37:55.2804227Z 2022-11-23T01:37:55.2804299Z - 2022-11-23T01:37:55.2804423Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.2804487Z { 2022-11-23T01:37:55.2804632Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.2804844Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.2804967Z 'obj_weakref': None 2022-11-23T01:37:55.2805192Z 'guarded_class': 2022-11-23T01:37:55.2805257Z } 2022-11-23T01:37:55.2805323Z 2022-11-23T01:37:55.2805395Z - 2022-11-23T01:37:55.2805532Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.2805583Z { 2022-11-23T01:37:55.2805707Z 'guard_types': None, 2022-11-23T01:37:55.2805815Z 'code': None, 2022-11-23T01:37:55.2805934Z 'obj_weakref': None 2022-11-23T01:37:55.2806056Z 'guarded_class': None 2022-11-23T01:37:55.2806118Z } 2022-11-23T01:37:55.2806180Z 2022-11-23T01:37:55.2806432Z [2022-11-23 01:34:36,765] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 345 2022-11-23T01:37:55.2806810Z [2022-11-23 01:34:38,156] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/is/cisf2zrof6rglb5w6omgxpkdaddhk6su7eemxk5oct5ctbee2h2d.py 2022-11-23T01:37:55.2807076Z [2022-11-23 01:34:38,157] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 345 2022-11-23T01:37:55.2807174Z 2022-11-23T01:37:55.2807270Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.2807340Z import torch 2022-11-23T01:37:55.2807410Z import random 2022-11-23T01:37:55.2807526Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.2807647Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.2807652Z 2022-11-23T01:37:55.2807717Z aten = torch.ops.aten 2022-11-23T01:37:55.2807849Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.2807941Z async_compile = AsyncCompile() 2022-11-23T01:37:55.2807947Z 2022-11-23T01:37:55.2807951Z 2022-11-23T01:37:55.2808122Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.2808330Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.2808449Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.2808553Z const long* __restrict__ in_ptr1, 2022-11-23T01:37:55.2808660Z const float* __restrict__ in_ptr2, 2022-11-23T01:37:55.2808748Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.2808809Z { 2022-11-23T01:37:55.2808890Z for(long i0=0; i0<24304; i0+=1) 2022-11-23T01:37:55.2808950Z { 2022-11-23T01:37:55.2809090Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.2809177Z tmp0.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.2809237Z } 2022-11-23T01:37:55.2809313Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.2809400Z for(long i0=194432; i0<194432; i0+=1) 2022-11-23T01:37:55.2809458Z { 2022-11-23T01:37:55.2809541Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.2809618Z out_ptr0[i0] = tmp0; 2022-11-23T01:37:55.2809678Z } 2022-11-23T01:37:55.2809752Z #pragma GCC ivdep 2022-11-23T01:37:55.2809820Z for(long i0=0; i0<992; i0+=1) 2022-11-23T01:37:55.2809878Z { 2022-11-23T01:37:55.2809942Z { 2022-11-23T01:37:55.2810002Z { 2022-11-23T01:37:55.2810090Z auto tmp0 = in_ptr1[i0]; 2022-11-23T01:37:55.2810178Z auto tmp1 = in_ptr2[i0]; 2022-11-23T01:37:55.2810272Z out_ptr0[i0 + (992*tmp0)] = tmp1; 2022-11-23T01:37:55.2810323Z } 2022-11-23T01:37:55.2810383Z } 2022-11-23T01:37:55.2810443Z } 2022-11-23T01:37:55.2810503Z } 2022-11-23T01:37:55.2810586Z ''') 2022-11-23T01:37:55.2810592Z 2022-11-23T01:37:55.2810596Z 2022-11-23T01:37:55.2810683Z async_compile.wait(globals()) 2022-11-23T01:37:55.2810753Z del async_compile 2022-11-23T01:37:55.2810759Z 2022-11-23T01:37:55.2810815Z def call(args): 2022-11-23T01:37:55.2810897Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:55.2810970Z args.clear() 2022-11-23T01:37:55.2811178Z buf0 = empty_strided((196, 992), (992, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2811366Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.2811436Z del arg0_1 2022-11-23T01:37:55.2811502Z del arg1_1 2022-11-23T01:37:55.2811555Z del arg2_1 2022-11-23T01:37:55.2811624Z return (buf0, ) 2022-11-23T01:37:55.2811629Z 2022-11-23T01:37:55.2811633Z 2022-11-23T01:37:55.2811708Z if __name__ == "__main__": 2022-11-23T01:37:55.2811821Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.2811941Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.2812148Z arg0_1 = rand_strided((196, 992), (992, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2812348Z arg1_1 = rand_strided((1, 992), (992, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.2812553Z arg2_1 = rand_strided((1, 992), (992, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2812664Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:55.2812668Z 2022-11-23T01:37:55.2812734Z ok (1.426s) 2022-11-23T01:37:55.2812916Z test_scatter_add1_cpu (__main__.CpuTests) ... skip: Flaky test, needs debugging (0.001s) 2022-11-23T01:37:55.2813233Z test_scatter_add2_cpu (__main__.CpuTests) ... [2022-11-23 01:34:38,173] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.2813506Z [2022-11-23 01:34:38,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.2813728Z [2022-11-23 01:34:38,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.2813990Z [2022-11-23 01:34:38,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.2814311Z [2022-11-23 01:34:38,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.2814635Z [2022-11-23 01:34:38,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.2814958Z [2022-11-23 01:34:38,174] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.2815054Z 3744 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.2815155Z 2 LOAD_METHOD 1 (scatter_add) 2022-11-23T01:37:55.2815246Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.2815335Z 6 LOAD_FAST 1 (dim) 2022-11-23T01:37:55.2815423Z 8 LOAD_FAST 2 (index) 2022-11-23T01:37:55.2815512Z 10 LOAD_FAST 3 (b) 2022-11-23T01:37:55.2815601Z 12 CALL_METHOD 4 2022-11-23T01:37:55.2815663Z 14 RETURN_VALUE 2022-11-23T01:37:55.2815722Z 2022-11-23T01:37:55.2815727Z 2022-11-23T01:37:55.2815999Z [2022-11-23 01:34:38,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3744 2022-11-23T01:37:55.2816219Z [2022-11-23 01:34:38,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.2816537Z [2022-11-23 01:34:38,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter_add [TorchVariable()] 2022-11-23T01:37:55.2816800Z [2022-11-23 01:34:38,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter_add)] 2022-11-23T01:37:55.2817093Z [2022-11-23 01:34:38,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter_add), TensorVariable()] 2022-11-23T01:37:55.2817428Z [2022-11-23 01:34:38,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2817790Z [2022-11-23 01:34:38,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:37:55.2818185Z [2022-11-23 01:34:38,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2818422Z [2022-11-23 01:34:38,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.2818884Z [2022-11-23 01:34:38,182] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.2819203Z [2022-11-23 01:34:38,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.2819449Z [2022-11-23 01:34:38,182] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.2819707Z [2022-11-23 01:34:38,183] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.2820023Z [2022-11-23 01:34:38,187] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.2820221Z [2022-11-23 01:34:38,187] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.2820356Z __compiled_fn_353 .2935 opcode, name, target, args, kwargs 2022-11-23T01:37:55.2820446Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.2820522Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:37:55.2820606Z placeholder, ex_3_, ex_3_, (), {} 2022-11-23T01:37:55.2820741Z call_function, scatter_add, aten.scatter_add, (ex_0_, 0, ex_2_, ex_3_), {} 2022-11-23T01:37:55.2820846Z output, output, output, ((scatter_add,),), {} 2022-11-23T01:37:55.2820851Z 2022-11-23T01:37:55.2821177Z [2022-11-23 01:34:38,188] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2821271Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.2821362Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2821441Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.2821531Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.2821609Z 8 RETURN_VALUE 2022-11-23T01:37:55.2821614Z 2022-11-23T01:37:55.2821675Z 2022-11-23T01:37:55.2821948Z [2022-11-23 01:34:38,188] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2822055Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_353) 2022-11-23T01:37:55.2822142Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2822231Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2822299Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.2822391Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2822480Z 10 LOAD_CONST 2 (2) 2022-11-23T01:37:55.2822554Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.2822641Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2822727Z 16 LOAD_CONST 3 (3) 2022-11-23T01:37:55.2822804Z 18 BINARY_SUBSCR 2022-11-23T01:37:55.2822880Z 20 CALL_FUNCTION 3 2022-11-23T01:37:55.2822970Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.2823047Z 24 RETURN_VALUE 2022-11-23T01:37:55.2823052Z 2022-11-23T01:37:55.2823111Z 2022-11-23T01:37:55.2823296Z [2022-11-23 01:34:38,189] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.2823367Z - 2022-11-23T01:37:55.2823492Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.2823544Z { 2022-11-23T01:37:55.2823686Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.2823878Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 4'], 2022-11-23T01:37:55.2824001Z 'obj_weakref': None 2022-11-23T01:37:55.2824224Z 'guarded_class': 2022-11-23T01:37:55.2824288Z } 2022-11-23T01:37:55.2824350Z 2022-11-23T01:37:55.2824411Z - 2022-11-23T01:37:55.2824535Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.2824600Z { 2022-11-23T01:37:55.2824744Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2824852Z 'code': None, 2022-11-23T01:37:55.2825068Z 'obj_weakref': 2022-11-23T01:37:55.2825324Z 'guarded_class': 2022-11-23T01:37:55.2825377Z } 2022-11-23T01:37:55.2825438Z 2022-11-23T01:37:55.2825510Z - 2022-11-23T01:37:55.2825643Z local 'ex[1]' CONSTANT_MATCH 2022-11-23T01:37:55.2825709Z { 2022-11-23T01:37:55.2825852Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.2826041Z 'code': ['___check_type_id(ex[1], 93851402553120)', 'ex[1] == 0'], 2022-11-23T01:37:55.2826149Z 'obj_weakref': None 2022-11-23T01:37:55.2826403Z 'guarded_class': 2022-11-23T01:37:55.2826468Z } 2022-11-23T01:37:55.2826529Z 2022-11-23T01:37:55.2826600Z - 2022-11-23T01:37:55.2826726Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:37:55.2826787Z { 2022-11-23T01:37:55.2826918Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2827025Z 'code': None, 2022-11-23T01:37:55.2827241Z 'obj_weakref': 2022-11-23T01:37:55.2827497Z 'guarded_class': 2022-11-23T01:37:55.2827593Z } 2022-11-23T01:37:55.2827655Z 2022-11-23T01:37:55.2827726Z - 2022-11-23T01:37:55.2827839Z local 'ex[3]' TENSOR_MATCH 2022-11-23T01:37:55.2827902Z { 2022-11-23T01:37:55.2828050Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2828247Z 'code': None, 2022-11-23T01:37:55.2828468Z 'obj_weakref': 2022-11-23T01:37:55.2828724Z 'guarded_class': 2022-11-23T01:37:55.2828790Z } 2022-11-23T01:37:55.2828839Z 2022-11-23T01:37:55.2828909Z - 2022-11-23T01:37:55.2829040Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.2829105Z { 2022-11-23T01:37:55.2829242Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.2829420Z 'code': ['___check_obj_id(model, 140539098654480)'], 2022-11-23T01:37:55.2829542Z 'obj_weakref': None 2022-11-23T01:37:55.2829762Z 'guarded_class': 2022-11-23T01:37:55.2829826Z } 2022-11-23T01:37:55.2829887Z 2022-11-23T01:37:55.2829960Z - 2022-11-23T01:37:55.2830084Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.2830147Z { 2022-11-23T01:37:55.2830285Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.2830490Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.2830614Z 'obj_weakref': None 2022-11-23T01:37:55.2830835Z 'guarded_class': 2022-11-23T01:37:55.2830900Z } 2022-11-23T01:37:55.2830961Z 2022-11-23T01:37:55.2831033Z - 2022-11-23T01:37:55.2831165Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.2831215Z { 2022-11-23T01:37:55.2831334Z 'guard_types': None, 2022-11-23T01:37:55.2831442Z 'code': None, 2022-11-23T01:37:55.2831561Z 'obj_weakref': None 2022-11-23T01:37:55.2831683Z 'guarded_class': None 2022-11-23T01:37:55.2831747Z } 2022-11-23T01:37:55.2831808Z 2022-11-23T01:37:55.2832058Z [2022-11-23 01:34:38,195] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 346 2022-11-23T01:37:55.2832427Z [2022-11-23 01:34:39,577] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/aj/caj72cptai3zuaqansd5rgl7shpj24ny74bawjfukis46rhr34dn.py 2022-11-23T01:37:55.2832697Z [2022-11-23 01:34:39,577] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 346 2022-11-23T01:37:55.2832703Z 2022-11-23T01:37:55.2832797Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.2832871Z import torch 2022-11-23T01:37:55.2832941Z import random 2022-11-23T01:37:55.2833060Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.2833183Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.2833188Z 2022-11-23T01:37:55.2833253Z aten = torch.ops.aten 2022-11-23T01:37:55.2833435Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.2833531Z async_compile = AsyncCompile() 2022-11-23T01:37:55.2833535Z 2022-11-23T01:37:55.2833540Z 2022-11-23T01:37:55.2833680Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.2833892Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.2834013Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.2834121Z const long* __restrict__ in_ptr1, 2022-11-23T01:37:55.2834227Z const float* __restrict__ in_ptr2, 2022-11-23T01:37:55.2834348Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.2834411Z { 2022-11-23T01:37:55.2834488Z #pragma GCC ivdep 2022-11-23T01:37:55.2834568Z for(long i0=0; i0<6; i0+=1) 2022-11-23T01:37:55.2834632Z { 2022-11-23T01:37:55.2834697Z { 2022-11-23T01:37:55.2834764Z { 2022-11-23T01:37:55.2834842Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.2834925Z out_ptr0[i0] = tmp0; 2022-11-23T01:37:55.2834992Z } 2022-11-23T01:37:55.2835055Z } 2022-11-23T01:37:55.2835118Z } 2022-11-23T01:37:55.2835194Z #pragma GCC ivdep 2022-11-23T01:37:55.2835261Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:55.2835323Z { 2022-11-23T01:37:55.2835401Z #pragma GCC ivdep 2022-11-23T01:37:55.2835484Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:37:55.2835548Z { 2022-11-23T01:37:55.2835612Z { 2022-11-23T01:37:55.2835678Z { 2022-11-23T01:37:55.2835766Z auto tmp0 = in_ptr1[i1 + (3*i0)]; 2022-11-23T01:37:55.2835870Z auto tmp1 = in_ptr2[i1 + (3*i0)]; 2022-11-23T01:37:55.2835967Z out_ptr0[i1 + (3*tmp0)] += tmp1; 2022-11-23T01:37:55.2836035Z } 2022-11-23T01:37:55.2836103Z } 2022-11-23T01:37:55.2836168Z } 2022-11-23T01:37:55.2836231Z } 2022-11-23T01:37:55.2836278Z } 2022-11-23T01:37:55.2836365Z ''') 2022-11-23T01:37:55.2836371Z 2022-11-23T01:37:55.2836375Z 2022-11-23T01:37:55.2836466Z async_compile.wait(globals()) 2022-11-23T01:37:55.2836539Z del async_compile 2022-11-23T01:37:55.2836544Z 2022-11-23T01:37:55.2836615Z def call(args): 2022-11-23T01:37:55.2836702Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:55.2836771Z args.clear() 2022-11-23T01:37:55.2836957Z buf0 = empty_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2837149Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.2837223Z del arg0_1 2022-11-23T01:37:55.2837292Z del arg1_1 2022-11-23T01:37:55.2837358Z del arg2_1 2022-11-23T01:37:55.2837430Z return (buf0, ) 2022-11-23T01:37:55.2837436Z 2022-11-23T01:37:55.2837440Z 2022-11-23T01:37:55.2837515Z if __name__ == "__main__": 2022-11-23T01:37:55.2837630Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.2837740Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.2837942Z arg0_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2838142Z arg1_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.2838340Z arg2_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2838460Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:55.2838465Z 2022-11-23T01:37:55.2838530Z ok (1.412s) 2022-11-23T01:37:55.2838847Z test_scatter_add3_cpu (__main__.CpuTests) ... [2022-11-23 01:34:39,586] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.2839120Z [2022-11-23 01:34:39,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.2839329Z [2022-11-23 01:34:39,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.2839709Z [2022-11-23 01:34:39,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.2840022Z [2022-11-23 01:34:39,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.2840352Z [2022-11-23 01:34:39,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.2840685Z [2022-11-23 01:34:39,586] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.2840817Z 3758 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.2840919Z 2 LOAD_METHOD 1 (scatter_add) 2022-11-23T01:37:55.2841010Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.2841101Z 6 LOAD_FAST 1 (dim) 2022-11-23T01:37:55.2841181Z 8 LOAD_FAST 2 (index) 2022-11-23T01:37:55.2841271Z 10 LOAD_FAST 3 (b) 2022-11-23T01:37:55.2841358Z 12 CALL_METHOD 4 2022-11-23T01:37:55.2841434Z 14 RETURN_VALUE 2022-11-23T01:37:55.2841496Z 2022-11-23T01:37:55.2841501Z 2022-11-23T01:37:55.2841775Z [2022-11-23 01:34:39,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3758 2022-11-23T01:37:55.2841998Z [2022-11-23 01:34:39,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.2842316Z [2022-11-23 01:34:39,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter_add [TorchVariable()] 2022-11-23T01:37:55.2842571Z [2022-11-23 01:34:39,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter_add)] 2022-11-23T01:37:55.2842866Z [2022-11-23 01:34:39,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter_add), TensorVariable()] 2022-11-23T01:37:55.2843202Z [2022-11-23 01:34:39,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2843558Z [2022-11-23 01:34:39,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:37:55.2843950Z [2022-11-23 01:34:39,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.scatter_add), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2844204Z [2022-11-23 01:34:39,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.2844539Z [2022-11-23 01:34:39,594] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.2844789Z [2022-11-23 01:34:39,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.2845026Z [2022-11-23 01:34:39,594] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.2845283Z [2022-11-23 01:34:39,595] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.2845521Z [2022-11-23 01:34:39,598] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.2845713Z [2022-11-23 01:34:39,599] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.2845850Z __compiled_fn_354 .2941 opcode, name, target, args, kwargs 2022-11-23T01:37:55.2845941Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.2846027Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:37:55.2846110Z placeholder, ex_3_, ex_3_, (), {} 2022-11-23T01:37:55.2846274Z call_function, scatter_add, aten.scatter_add, (ex_0_, 2, ex_2_, ex_3_), {} 2022-11-23T01:37:55.2846382Z output, output, output, ((scatter_add,),), {} 2022-11-23T01:37:55.2846388Z 2022-11-23T01:37:55.2846653Z [2022-11-23 01:34:39,599] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2846746Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.2846835Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2846925Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.2847015Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.2847089Z 8 RETURN_VALUE 2022-11-23T01:37:55.2847148Z 2022-11-23T01:37:55.2847207Z 2022-11-23T01:37:55.2847485Z [2022-11-23 01:34:39,599] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2847582Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_354) 2022-11-23T01:37:55.2847674Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2847765Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2847841Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.2847928Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2848015Z 10 LOAD_CONST 2 (2) 2022-11-23T01:37:55.2848090Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.2848163Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2848249Z 16 LOAD_CONST 3 (3) 2022-11-23T01:37:55.2848321Z 18 BINARY_SUBSCR 2022-11-23T01:37:55.2848409Z 20 CALL_FUNCTION 3 2022-11-23T01:37:55.2848502Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.2848577Z 24 RETURN_VALUE 2022-11-23T01:37:55.2848582Z 2022-11-23T01:37:55.2848643Z 2022-11-23T01:37:55.2848814Z [2022-11-23 01:34:39,600] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.2848886Z - 2022-11-23T01:37:55.2849006Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.2849073Z { 2022-11-23T01:37:55.2849217Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.2849406Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 4'], 2022-11-23T01:37:55.2849528Z 'obj_weakref': None 2022-11-23T01:37:55.2849756Z 'guarded_class': 2022-11-23T01:37:55.2849809Z } 2022-11-23T01:37:55.2849870Z 2022-11-23T01:37:55.2849942Z - 2022-11-23T01:37:55.2850067Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.2850131Z { 2022-11-23T01:37:55.2850275Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2850372Z 'code': None, 2022-11-23T01:37:55.2850586Z 'obj_weakref': 2022-11-23T01:37:55.2850844Z 'guarded_class': 2022-11-23T01:37:55.2850909Z } 2022-11-23T01:37:55.2850974Z 2022-11-23T01:37:55.2851045Z - 2022-11-23T01:37:55.2851179Z local 'ex[1]' CONSTANT_MATCH 2022-11-23T01:37:55.2851228Z { 2022-11-23T01:37:55.2851372Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.2851560Z 'code': ['___check_type_id(ex[1], 93851402553120)', 'ex[1] == 2'], 2022-11-23T01:37:55.2851682Z 'obj_weakref': None 2022-11-23T01:37:55.2851906Z 'guarded_class': 2022-11-23T01:37:55.2851972Z } 2022-11-23T01:37:55.2852035Z 2022-11-23T01:37:55.2852093Z - 2022-11-23T01:37:55.2852219Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:37:55.2852284Z { 2022-11-23T01:37:55.2852427Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2852536Z 'code': None, 2022-11-23T01:37:55.2852781Z 'obj_weakref': 2022-11-23T01:37:55.2853039Z 'guarded_class': 2022-11-23T01:37:55.2853103Z } 2022-11-23T01:37:55.2853154Z 2022-11-23T01:37:55.2853225Z - 2022-11-23T01:37:55.2853350Z local 'ex[3]' TENSOR_MATCH 2022-11-23T01:37:55.2853411Z { 2022-11-23T01:37:55.2853557Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2853666Z 'code': None, 2022-11-23T01:37:55.2853901Z 'obj_weakref': 2022-11-23T01:37:55.2854155Z 'guarded_class': 2022-11-23T01:37:55.2854219Z } 2022-11-23T01:37:55.2854281Z 2022-11-23T01:37:55.2854351Z - 2022-11-23T01:37:55.2854486Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.2854552Z { 2022-11-23T01:37:55.2854675Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.2854846Z 'code': ['___check_obj_id(model, 140538737479904)'], 2022-11-23T01:37:55.2854966Z 'obj_weakref': None 2022-11-23T01:37:55.2855200Z 'guarded_class': 2022-11-23T01:37:55.2855263Z } 2022-11-23T01:37:55.2855324Z 2022-11-23T01:37:55.2855393Z - 2022-11-23T01:37:55.2855504Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.2855571Z { 2022-11-23T01:37:55.2855708Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.2855927Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.2856049Z 'obj_weakref': None 2022-11-23T01:37:55.2856272Z 'guarded_class': 2022-11-23T01:37:55.2856336Z } 2022-11-23T01:37:55.2856397Z 2022-11-23T01:37:55.2856455Z - 2022-11-23T01:37:55.2856587Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.2856650Z { 2022-11-23T01:37:55.2856771Z 'guard_types': None, 2022-11-23T01:37:55.2856880Z 'code': None, 2022-11-23T01:37:55.2856998Z 'obj_weakref': None 2022-11-23T01:37:55.2857110Z 'guarded_class': None 2022-11-23T01:37:55.2857173Z } 2022-11-23T01:37:55.2857235Z 2022-11-23T01:37:55.2857501Z [2022-11-23 01:34:39,606] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 347 2022-11-23T01:37:55.2857869Z [2022-11-23 01:34:40,998] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/55/c55sicsjwxsriiaqvft6o33refyq5oq65hmmnt5yrzdfxnxprbqu.py 2022-11-23T01:37:55.2858142Z [2022-11-23 01:34:40,999] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 347 2022-11-23T01:37:55.2858148Z 2022-11-23T01:37:55.2858242Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.2858309Z import torch 2022-11-23T01:37:55.2858365Z import random 2022-11-23T01:37:55.2858478Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.2858597Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.2858602Z 2022-11-23T01:37:55.2858679Z aten = torch.ops.aten 2022-11-23T01:37:55.2858984Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.2859101Z async_compile = AsyncCompile() 2022-11-23T01:37:55.2859110Z 2022-11-23T01:37:55.2859114Z 2022-11-23T01:37:55.2859259Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.2859467Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.2859575Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.2859743Z const long* __restrict__ in_ptr1, 2022-11-23T01:37:55.2859851Z const float* __restrict__ in_ptr2, 2022-11-23T01:37:55.2859950Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.2860011Z { 2022-11-23T01:37:55.2860093Z for(long i0=0; i0<235; i0+=1) 2022-11-23T01:37:55.2860153Z { 2022-11-23T01:37:55.2860282Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.2860375Z tmp0.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.2860435Z } 2022-11-23T01:37:55.2860523Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.2860651Z for(long i0=1880; i0<1885; i0+=1) 2022-11-23T01:37:55.2860711Z { 2022-11-23T01:37:55.2860791Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.2860856Z out_ptr0[i0] = tmp0; 2022-11-23T01:37:55.2860915Z } 2022-11-23T01:37:55.2860991Z #pragma GCC ivdep 2022-11-23T01:37:55.2861071Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:55.2861129Z { 2022-11-23T01:37:55.2861192Z { 2022-11-23T01:37:55.2861255Z { 2022-11-23T01:37:55.2861331Z auto tmp0 = in_ptr1[i0]; 2022-11-23T01:37:55.2861416Z auto tmp1 = in_ptr2[i0]; 2022-11-23T01:37:55.2861501Z out_ptr0[tmp0] += tmp1; 2022-11-23T01:37:55.2861562Z } 2022-11-23T01:37:55.2861624Z } 2022-11-23T01:37:55.2861684Z } 2022-11-23T01:37:55.2861731Z } 2022-11-23T01:37:55.2861812Z ''') 2022-11-23T01:37:55.2861817Z 2022-11-23T01:37:55.2861821Z 2022-11-23T01:37:55.2861909Z async_compile.wait(globals()) 2022-11-23T01:37:55.2861985Z del async_compile 2022-11-23T01:37:55.2861992Z 2022-11-23T01:37:55.2862062Z def call(args): 2022-11-23T01:37:55.2862142Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:55.2862212Z args.clear() 2022-11-23T01:37:55.2862425Z buf0 = empty_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2862607Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.2862677Z del arg0_1 2022-11-23T01:37:55.2862741Z del arg1_1 2022-11-23T01:37:55.2862805Z del arg2_1 2022-11-23T01:37:55.2862876Z return (buf0, ) 2022-11-23T01:37:55.2862881Z 2022-11-23T01:37:55.2862885Z 2022-11-23T01:37:55.2862959Z if __name__ == "__main__": 2022-11-23T01:37:55.2863072Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.2863181Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.2863394Z arg0_1 = rand_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2863601Z arg1_1 = rand_strided((1, 1, 4), (4, 4, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.2863807Z arg2_1 = rand_strided((1, 1, 10), (10, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2863929Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:55.2863934Z 2022-11-23T01:37:55.2864000Z ok (1.422s) 2022-11-23T01:37:55.2864258Z test_scatter_reduce1_cpu (__main__.CpuTests) ... [W TensorAdvancedIndexing.cpp:1681] Warning: scatter_reduce() is in beta and the API may change at any time. (function operator()) 2022-11-23T01:37:55.2864505Z [2022-11-23 01:34:41,008] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.2864776Z [2022-11-23 01:34:41,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.2864984Z [2022-11-23 01:34:41,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.2865243Z [2022-11-23 01:34:41,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.2865532Z [2022-11-23 01:34:41,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.2865888Z [2022-11-23 01:34:41,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.2866222Z [2022-11-23 01:34:41,008] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.2866317Z 3772 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.2866422Z 2 LOAD_METHOD 1 (scatter_reduce) 2022-11-23T01:37:55.2866510Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.2866601Z 6 LOAD_FAST 1 (dim) 2022-11-23T01:37:55.2866678Z 8 LOAD_FAST 2 (index) 2022-11-23T01:37:55.2866802Z 10 LOAD_FAST 3 (b) 2022-11-23T01:37:55.2866944Z 12 LOAD_CONST 1 ('sum') 2022-11-23T01:37:55.2867032Z 14 CALL_METHOD 5 2022-11-23T01:37:55.2867107Z 16 RETURN_VALUE 2022-11-23T01:37:55.2867167Z 2022-11-23T01:37:55.2867172Z 2022-11-23T01:37:55.2867447Z [2022-11-23 01:34:41,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3772 2022-11-23T01:37:55.2867655Z [2022-11-23 01:34:41,008] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.2867977Z [2022-11-23 01:34:41,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter_reduce [TorchVariable()] 2022-11-23T01:37:55.2868322Z [2022-11-23 01:34:41,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter_reduce)] 2022-11-23T01:37:55.2868635Z [2022-11-23 01:34:41,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter_reduce), TensorVariable()] 2022-11-23T01:37:55.2868979Z [2022-11-23 01:34:41,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2869346Z [2022-11-23 01:34:41,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:37:55.2869741Z [2022-11-23 01:34:41,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST sum [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2870177Z [2022-11-23 01:34:41,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:37:55.2870432Z [2022-11-23 01:34:41,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.2870770Z [2022-11-23 01:34:41,016] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.2871022Z [2022-11-23 01:34:41,016] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.2871258Z [2022-11-23 01:34:41,016] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.2871502Z [2022-11-23 01:34:41,017] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.2871753Z [2022-11-23 01:34:41,023] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.2871943Z [2022-11-23 01:34:41,023] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.2872082Z __compiled_fn_355 .2947 opcode, name, target, args, kwargs 2022-11-23T01:37:55.2872171Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.2872258Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:37:55.2872342Z placeholder, ex_3_, ex_3_, (), {} 2022-11-23T01:37:55.2872561Z call_function, scatter_reduce, aten.scatter_reduce, (ex_0_, 2, ex_2_, ex_3_, 'sum'), {} 2022-11-23T01:37:55.2872696Z output, output, output, ((scatter_reduce,),), {} 2022-11-23T01:37:55.2872702Z 2022-11-23T01:37:55.2872986Z [2022-11-23 01:34:41,023] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2873081Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.2873174Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2873268Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.2873360Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.2873440Z 8 RETURN_VALUE 2022-11-23T01:37:55.2873475Z 2022-11-23T01:37:55.2873538Z 2022-11-23T01:37:55.2873804Z [2022-11-23 01:34:41,024] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2873916Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_355) 2022-11-23T01:37:55.2874006Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2874100Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2874180Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.2874269Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2874358Z 10 LOAD_CONST 2 (2) 2022-11-23T01:37:55.2874423Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.2874510Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2874598Z 16 LOAD_CONST 3 (3) 2022-11-23T01:37:55.2874674Z 18 BINARY_SUBSCR 2022-11-23T01:37:55.2874764Z 20 CALL_FUNCTION 3 2022-11-23T01:37:55.2874858Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.2874934Z 24 RETURN_VALUE 2022-11-23T01:37:55.2874939Z 2022-11-23T01:37:55.2874986Z 2022-11-23T01:37:55.2875172Z [2022-11-23 01:34:41,024] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.2875247Z - 2022-11-23T01:37:55.2875371Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.2875439Z { 2022-11-23T01:37:55.2875586Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.2875778Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 4'], 2022-11-23T01:37:55.2875887Z 'obj_weakref': None 2022-11-23T01:37:55.2876115Z 'guarded_class': 2022-11-23T01:37:55.2876183Z } 2022-11-23T01:37:55.2876248Z 2022-11-23T01:37:55.2876321Z - 2022-11-23T01:37:55.2876447Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.2876512Z { 2022-11-23T01:37:55.2876649Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2876759Z 'code': None, 2022-11-23T01:37:55.2876975Z 'obj_weakref': 2022-11-23T01:37:55.2877234Z 'guarded_class': 2022-11-23T01:37:55.2877306Z } 2022-11-23T01:37:55.2877371Z 2022-11-23T01:37:55.2877443Z - 2022-11-23T01:37:55.2877561Z local 'ex[1]' CONSTANT_MATCH 2022-11-23T01:37:55.2877626Z { 2022-11-23T01:37:55.2877772Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.2877962Z 'code': ['___check_type_id(ex[1], 93851402553120)', 'ex[1] == 2'], 2022-11-23T01:37:55.2878084Z 'obj_weakref': None 2022-11-23T01:37:55.2878307Z 'guarded_class': 2022-11-23T01:37:55.2878376Z } 2022-11-23T01:37:55.2878427Z 2022-11-23T01:37:55.2878498Z - 2022-11-23T01:37:55.2878625Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:37:55.2878692Z { 2022-11-23T01:37:55.2878836Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2878946Z 'code': None, 2022-11-23T01:37:55.2879192Z 'obj_weakref': 2022-11-23T01:37:55.2879436Z 'guarded_class': 2022-11-23T01:37:55.2879499Z } 2022-11-23T01:37:55.2879561Z 2022-11-23T01:37:55.2879632Z - 2022-11-23T01:37:55.2879756Z local 'ex[3]' TENSOR_MATCH 2022-11-23T01:37:55.2879818Z { 2022-11-23T01:37:55.2879961Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2880058Z 'code': None, 2022-11-23T01:37:55.2880274Z 'obj_weakref': 2022-11-23T01:37:55.2880560Z 'guarded_class': 2022-11-23T01:37:55.2880623Z } 2022-11-23T01:37:55.2880684Z 2022-11-23T01:37:55.2880755Z - 2022-11-23T01:37:55.2880890Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.2880940Z { 2022-11-23T01:37:55.2881079Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.2881250Z 'code': ['___check_obj_id(model, 140538744243408)'], 2022-11-23T01:37:55.2881370Z 'obj_weakref': None 2022-11-23T01:37:55.2881601Z 'guarded_class': 2022-11-23T01:37:55.2881664Z } 2022-11-23T01:37:55.2881725Z 2022-11-23T01:37:55.2881782Z - 2022-11-23T01:37:55.2881904Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.2881968Z { 2022-11-23T01:37:55.2882105Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.2882325Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.2882444Z 'obj_weakref': None 2022-11-23T01:37:55.2882665Z 'guarded_class': 2022-11-23T01:37:55.2882715Z } 2022-11-23T01:37:55.2882776Z 2022-11-23T01:37:55.2882846Z - 2022-11-23T01:37:55.2882978Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.2883041Z { 2022-11-23T01:37:55.2883167Z 'guard_types': None, 2022-11-23T01:37:55.2883278Z 'code': None, 2022-11-23T01:37:55.2883384Z 'obj_weakref': None 2022-11-23T01:37:55.2883506Z 'guarded_class': None 2022-11-23T01:37:55.2883567Z } 2022-11-23T01:37:55.2883629Z 2022-11-23T01:37:55.2883889Z [2022-11-23 01:34:41,030] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 348 2022-11-23T01:37:55.2884257Z [2022-11-23 01:34:41,043] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/55/c55sicsjwxsriiaqvft6o33refyq5oq65hmmnt5yrzdfxnxprbqu.py 2022-11-23T01:37:55.2884525Z [2022-11-23 01:34:41,043] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 348 2022-11-23T01:37:55.2884531Z 2022-11-23T01:37:55.2884624Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.2884680Z import torch 2022-11-23T01:37:55.2884747Z import random 2022-11-23T01:37:55.2884860Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.2884980Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.2884985Z 2022-11-23T01:37:55.2885070Z aten = torch.ops.aten 2022-11-23T01:37:55.2885203Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.2885294Z async_compile = AsyncCompile() 2022-11-23T01:37:55.2885301Z 2022-11-23T01:37:55.2885306Z 2022-11-23T01:37:55.2885441Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.2885634Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.2885752Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.2885893Z const long* __restrict__ in_ptr1, 2022-11-23T01:37:55.2885998Z const float* __restrict__ in_ptr2, 2022-11-23T01:37:55.2886095Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.2886154Z { 2022-11-23T01:37:55.2886235Z for(long i0=0; i0<235; i0+=1) 2022-11-23T01:37:55.2886284Z { 2022-11-23T01:37:55.2886421Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.2886509Z tmp0.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.2886569Z } 2022-11-23T01:37:55.2886656Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.2886737Z for(long i0=1880; i0<1885; i0+=1) 2022-11-23T01:37:55.2886826Z { 2022-11-23T01:37:55.2886895Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.2886970Z out_ptr0[i0] = tmp0; 2022-11-23T01:37:55.2887033Z } 2022-11-23T01:37:55.2887107Z #pragma GCC ivdep 2022-11-23T01:37:55.2887185Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:55.2887244Z { 2022-11-23T01:37:55.2887294Z { 2022-11-23T01:37:55.2887357Z { 2022-11-23T01:37:55.2887444Z auto tmp0 = in_ptr1[i0]; 2022-11-23T01:37:55.2887529Z auto tmp1 = in_ptr2[i0]; 2022-11-23T01:37:55.2887613Z out_ptr0[tmp0] += tmp1; 2022-11-23T01:37:55.2887674Z } 2022-11-23T01:37:55.2887734Z } 2022-11-23T01:37:55.2887781Z } 2022-11-23T01:37:55.2887838Z } 2022-11-23T01:37:55.2887918Z ''') 2022-11-23T01:37:55.2887923Z 2022-11-23T01:37:55.2887927Z 2022-11-23T01:37:55.2888014Z async_compile.wait(globals()) 2022-11-23T01:37:55.2888085Z del async_compile 2022-11-23T01:37:55.2888090Z 2022-11-23T01:37:55.2888162Z def call(args): 2022-11-23T01:37:55.2888243Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:55.2888301Z args.clear() 2022-11-23T01:37:55.2888512Z buf0 = empty_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2888705Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.2888775Z del arg0_1 2022-11-23T01:37:55.2888840Z del arg1_1 2022-11-23T01:37:55.2888905Z del arg2_1 2022-11-23T01:37:55.2888974Z return (buf0, ) 2022-11-23T01:37:55.2888979Z 2022-11-23T01:37:55.2888983Z 2022-11-23T01:37:55.2889057Z if __name__ == "__main__": 2022-11-23T01:37:55.2889158Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.2889282Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.2889493Z arg0_1 = rand_strided((5, 29, 13), (377, 13, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2889699Z arg1_1 = rand_strided((1, 1, 4), (4, 4, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.2889906Z arg2_1 = rand_strided((1, 1, 10), (10, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2890026Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:55.2890031Z 2022-11-23T01:37:55.2890097Z ok (0.042s) 2022-11-23T01:37:55.2890419Z test_scatter_reduce2_cpu (__main__.CpuTests) ... [2022-11-23 01:34:41,048] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.2890678Z [2022-11-23 01:34:41,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.2890900Z [2022-11-23 01:34:41,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.2891154Z [2022-11-23 01:34:41,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.2891443Z [2022-11-23 01:34:41,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.2891770Z [2022-11-23 01:34:41,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.2892135Z [2022-11-23 01:34:41,048] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.2892231Z 3786 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.2892335Z 2 LOAD_ATTR 1 (scatter_reduce) 2022-11-23T01:37:55.2892425Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.2892503Z 6 LOAD_FAST 1 (dim) 2022-11-23T01:37:55.2892593Z 8 LOAD_FAST 2 (index) 2022-11-23T01:37:55.2892679Z 10 LOAD_FAST 3 (b) 2022-11-23T01:37:55.2892821Z 12 LOAD_CONST 1 ('sum') 2022-11-23T01:37:55.2892956Z 14 LOAD_CONST 2 (False) 2022-11-23T01:37:55.2893117Z 16 LOAD_CONST 3 (('include_self',)) 2022-11-23T01:37:55.2893208Z 18 CALL_FUNCTION_KW 6 2022-11-23T01:37:55.2893272Z 20 RETURN_VALUE 2022-11-23T01:37:55.2893330Z 2022-11-23T01:37:55.2893335Z 2022-11-23T01:37:55.2893612Z [2022-11-23 01:34:41,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3786 2022-11-23T01:37:55.2893832Z [2022-11-23 01:34:41,048] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.2894156Z [2022-11-23 01:34:41,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR scatter_reduce [TorchVariable()] 2022-11-23T01:37:55.2894424Z [2022-11-23 01:34:41,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.scatter_reduce)] 2022-11-23T01:37:55.2894725Z [2022-11-23 01:34:41,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(aten.scatter_reduce), TensorVariable()] 2022-11-23T01:37:55.2895070Z [2022-11-23 01:34:41,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2895438Z [2022-11-23 01:34:41,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:37:55.2895832Z [2022-11-23 01:34:41,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST sum [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2896270Z [2022-11-23 01:34:41,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str)] 2022-11-23T01:37:55.2896766Z [2022-11-23 01:34:41,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('include_self',) [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(bool)] 2022-11-23T01:37:55.2897275Z [2022-11-23 01:34:41,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 6 [TorchVariable(aten.scatter_reduce), TensorVariable(), ConstantVariable(int), TensorVariable(), TensorVariable(), ConstantVariable(str), ConstantVariable(bool), ConstantVariable(tuple)] 2022-11-23T01:37:55.2897525Z [2022-11-23 01:34:41,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.2897859Z [2022-11-23 01:34:41,055] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.2898109Z [2022-11-23 01:34:41,055] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.2898349Z [2022-11-23 01:34:41,055] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.2898605Z [2022-11-23 01:34:41,056] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.2899084Z [2022-11-23 01:34:41,059] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.2899292Z [2022-11-23 01:34:41,060] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.2899429Z __compiled_fn_356 .2953 opcode, name, target, args, kwargs 2022-11-23T01:37:55.2899519Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.2899593Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:37:55.2899678Z placeholder, ex_3_, ex_3_, (), {} 2022-11-23T01:37:55.2899932Z call_function, scatter_reduce, aten.scatter_reduce, (ex_0_, 0, ex_2_, ex_3_, 'sum'), {'include_self': False} 2022-11-23T01:37:55.2900045Z output, output, output, ((scatter_reduce,),), {} 2022-11-23T01:37:55.2900095Z 2022-11-23T01:37:55.2900382Z [2022-11-23 01:34:41,060] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2900476Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.2900565Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2900658Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.2900736Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.2900814Z 8 RETURN_VALUE 2022-11-23T01:37:55.2900819Z 2022-11-23T01:37:55.2900881Z 2022-11-23T01:37:55.2901157Z [2022-11-23 01:34:41,060] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2901263Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_356) 2022-11-23T01:37:55.2901350Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2901439Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2901506Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.2901594Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2901680Z 10 LOAD_CONST 2 (2) 2022-11-23T01:37:55.2901754Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.2901840Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2901926Z 16 LOAD_CONST 3 (3) 2022-11-23T01:37:55.2902000Z 18 BINARY_SUBSCR 2022-11-23T01:37:55.2902076Z 20 CALL_FUNCTION 3 2022-11-23T01:37:55.2902164Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.2902238Z 24 RETURN_VALUE 2022-11-23T01:37:55.2902243Z 2022-11-23T01:37:55.2902303Z 2022-11-23T01:37:55.2902488Z [2022-11-23 01:34:41,061] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.2902559Z - 2022-11-23T01:37:55.2902681Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.2902734Z { 2022-11-23T01:37:55.2902878Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.2903068Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 4'], 2022-11-23T01:37:55.2903190Z 'obj_weakref': None 2022-11-23T01:37:55.2903416Z 'guarded_class': 2022-11-23T01:37:55.2903482Z } 2022-11-23T01:37:55.2903543Z 2022-11-23T01:37:55.2903600Z - 2022-11-23T01:37:55.2903726Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.2903790Z { 2022-11-23T01:37:55.2903936Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2904044Z 'code': None, 2022-11-23T01:37:55.2904259Z 'obj_weakref': 2022-11-23T01:37:55.2904515Z 'guarded_class': 2022-11-23T01:37:55.2904581Z } 2022-11-23T01:37:55.2904631Z 2022-11-23T01:37:55.2904701Z - 2022-11-23T01:37:55.2904833Z local 'ex[1]' CONSTANT_MATCH 2022-11-23T01:37:55.2904896Z { 2022-11-23T01:37:55.2905038Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.2905228Z 'code': ['___check_type_id(ex[1], 93851402553120)', 'ex[1] == 0'], 2022-11-23T01:37:55.2905368Z 'obj_weakref': None 2022-11-23T01:37:55.2905596Z 'guarded_class': 2022-11-23T01:37:55.2905660Z } 2022-11-23T01:37:55.2905722Z 2022-11-23T01:37:55.2905792Z - 2022-11-23T01:37:55.2905917Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:37:55.2905979Z { 2022-11-23T01:37:55.2906111Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2906219Z 'code': None, 2022-11-23T01:37:55.2906431Z 'obj_weakref': 2022-11-23T01:37:55.2906755Z 'guarded_class': 2022-11-23T01:37:55.2906818Z } 2022-11-23T01:37:55.2906879Z 2022-11-23T01:37:55.2906949Z - 2022-11-23T01:37:55.2907061Z local 'ex[3]' TENSOR_MATCH 2022-11-23T01:37:55.2907125Z { 2022-11-23T01:37:55.2907269Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2907382Z 'code': None, 2022-11-23T01:37:55.2907596Z 'obj_weakref': 2022-11-23T01:37:55.2907850Z 'guarded_class': 2022-11-23T01:37:55.2907915Z } 2022-11-23T01:37:55.2907980Z 2022-11-23T01:37:55.2908038Z - 2022-11-23T01:37:55.2908251Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.2908322Z { 2022-11-23T01:37:55.2908469Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.2908641Z 'code': ['___check_obj_id(model, 140538746483488)'], 2022-11-23T01:37:55.2908762Z 'obj_weakref': None 2022-11-23T01:37:55.2908984Z 'guarded_class': 2022-11-23T01:37:55.2909049Z } 2022-11-23T01:37:55.2909111Z 2022-11-23T01:37:55.2909183Z - 2022-11-23T01:37:55.2909305Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.2909369Z { 2022-11-23T01:37:55.2909507Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.2909712Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.2909836Z 'obj_weakref': None 2022-11-23T01:37:55.2910058Z 'guarded_class': 2022-11-23T01:37:55.2910124Z } 2022-11-23T01:37:55.2910185Z 2022-11-23T01:37:55.2910258Z - 2022-11-23T01:37:55.2910391Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.2910441Z { 2022-11-23T01:37:55.2910562Z 'guard_types': None, 2022-11-23T01:37:55.2910672Z 'code': None, 2022-11-23T01:37:55.2910796Z 'obj_weakref': None 2022-11-23T01:37:55.2910919Z 'guarded_class': None 2022-11-23T01:37:55.2910980Z } 2022-11-23T01:37:55.2911040Z 2022-11-23T01:37:55.2911289Z [2022-11-23 01:34:41,066] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 349 2022-11-23T01:37:55.2911657Z [2022-11-23 01:34:42,444] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/63/c634fc7mpj4dlyf3izzcbvfk4jhok34wbaqy4sfanyr7dvngcwrz.py 2022-11-23T01:37:55.2911923Z [2022-11-23 01:34:42,445] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 349 2022-11-23T01:37:55.2911934Z 2022-11-23T01:37:55.2912027Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.2912100Z import torch 2022-11-23T01:37:55.2912172Z import random 2022-11-23T01:37:55.2912288Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.2912414Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.2912419Z 2022-11-23T01:37:55.2912522Z aten = torch.ops.aten 2022-11-23T01:37:55.2912665Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.2912756Z async_compile = AsyncCompile() 2022-11-23T01:37:55.2912761Z 2022-11-23T01:37:55.2912765Z 2022-11-23T01:37:55.2912906Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.2913111Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.2913233Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.2913339Z const long* __restrict__ in_ptr1, 2022-11-23T01:37:55.2913474Z const float* __restrict__ in_ptr2, 2022-11-23T01:37:55.2913561Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.2913623Z { 2022-11-23T01:37:55.2913702Z #pragma GCC ivdep 2022-11-23T01:37:55.2913785Z for(long i0=0; i0<6; i0+=1) 2022-11-23T01:37:55.2913847Z { 2022-11-23T01:37:55.2913912Z { 2022-11-23T01:37:55.2913982Z { 2022-11-23T01:37:55.2914058Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.2914141Z out_ptr0[i0] = tmp0; 2022-11-23T01:37:55.2914207Z } 2022-11-23T01:37:55.2914270Z } 2022-11-23T01:37:55.2914332Z } 2022-11-23T01:37:55.2914409Z #pragma GCC ivdep 2022-11-23T01:37:55.2914475Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:55.2914537Z { 2022-11-23T01:37:55.2914616Z #pragma GCC ivdep 2022-11-23T01:37:55.2914699Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:37:55.2914763Z { 2022-11-23T01:37:55.2914827Z { 2022-11-23T01:37:55.2914898Z { 2022-11-23T01:37:55.2914984Z auto tmp0 = in_ptr1[i1 + (3*i0)]; 2022-11-23T01:37:55.2915087Z auto tmp1 = static_cast(0); 2022-11-23T01:37:55.2915183Z out_ptr0[i1 + (3*tmp0)] = tmp1; 2022-11-23T01:37:55.2915248Z } 2022-11-23T01:37:55.2915314Z } 2022-11-23T01:37:55.2915379Z } 2022-11-23T01:37:55.2915440Z } 2022-11-23T01:37:55.2915500Z #pragma GCC ivdep 2022-11-23T01:37:55.2915580Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:55.2915641Z { 2022-11-23T01:37:55.2915720Z #pragma GCC ivdep 2022-11-23T01:37:55.2915802Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:37:55.2915865Z { 2022-11-23T01:37:55.2915916Z { 2022-11-23T01:37:55.2915982Z { 2022-11-23T01:37:55.2916082Z auto tmp0 = in_ptr1[i1 + (3*i0)]; 2022-11-23T01:37:55.2916178Z auto tmp1 = in_ptr2[i1 + (3*i0)]; 2022-11-23T01:37:55.2916277Z out_ptr0[i1 + (3*tmp0)] += tmp1; 2022-11-23T01:37:55.2916342Z } 2022-11-23T01:37:55.2916408Z } 2022-11-23T01:37:55.2916457Z } 2022-11-23T01:37:55.2916515Z } 2022-11-23T01:37:55.2916573Z } 2022-11-23T01:37:55.2916653Z ''') 2022-11-23T01:37:55.2916658Z 2022-11-23T01:37:55.2916662Z 2022-11-23T01:37:55.2916752Z async_compile.wait(globals()) 2022-11-23T01:37:55.2916824Z del async_compile 2022-11-23T01:37:55.2916828Z 2022-11-23T01:37:55.2916896Z def call(args): 2022-11-23T01:37:55.2916977Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:55.2917034Z args.clear() 2022-11-23T01:37:55.2917232Z buf0 = empty_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2917424Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.2917495Z del arg0_1 2022-11-23T01:37:55.2917561Z del arg1_1 2022-11-23T01:37:55.2917627Z del arg2_1 2022-11-23T01:37:55.2917697Z return (buf0, ) 2022-11-23T01:37:55.2917702Z 2022-11-23T01:37:55.2917706Z 2022-11-23T01:37:55.2917768Z if __name__ == "__main__": 2022-11-23T01:37:55.2917881Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.2918002Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.2918231Z arg0_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2918429Z arg1_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.2918623Z arg2_1 = rand_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2918745Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:55.2918750Z 2022-11-23T01:37:55.2918817Z ok (1.403s) 2022-11-23T01:37:55.2919129Z test_select_scatter_cpu (__main__.CpuTests) ... [2022-11-23 01:34:42,454] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.2919434Z [2022-11-23 01:34:42,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.2919656Z [2022-11-23 01:34:42,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.2919913Z [2022-11-23 01:34:42,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.2920205Z [2022-11-23 01:34:42,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.2920535Z [2022-11-23 01:34:42,454] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.2920867Z [2022-11-23 01:34:42,454] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.2920964Z 3628 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.2921072Z 2 LOAD_METHOD 1 (select_scatter) 2022-11-23T01:37:55.2921151Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:55.2921238Z 6 LOAD_FAST 1 (a) 2022-11-23T01:37:55.2921325Z 8 LOAD_CONST 1 (1) 2022-11-23T01:37:55.2921413Z 10 LOAD_CONST 2 (0) 2022-11-23T01:37:55.2921503Z 12 CALL_METHOD 4 2022-11-23T01:37:55.2921508Z 2022-11-23T01:37:55.2921600Z 3629 14 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.2921704Z 16 LOAD_METHOD 1 (select_scatter) 2022-11-23T01:37:55.2921794Z 18 LOAD_FAST 0 (x) 2022-11-23T01:37:55.2921868Z 20 LOAD_FAST 2 (b) 2022-11-23T01:37:55.2921954Z 22 LOAD_CONST 2 (0) 2022-11-23T01:37:55.2922039Z 24 LOAD_CONST 1 (1) 2022-11-23T01:37:55.2922125Z 26 CALL_METHOD 4 2022-11-23T01:37:55.2922213Z 28 BUILD_TUPLE 2 2022-11-23T01:37:55.2922288Z 30 RETURN_VALUE 2022-11-23T01:37:55.2922349Z 2022-11-23T01:37:55.2922354Z 2022-11-23T01:37:55.2922613Z [2022-11-23 01:34:42,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3628 2022-11-23T01:37:55.2922835Z [2022-11-23 01:34:42,455] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.2923161Z [2022-11-23 01:34:42,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR select_scatter [TorchVariable()] 2022-11-23T01:37:55.2923429Z [2022-11-23 01:34:42,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.select_scatter)] 2022-11-23T01:37:55.2923728Z [2022-11-23 01:34:42,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.select_scatter), TensorVariable()] 2022-11-23T01:37:55.2924053Z [2022-11-23 01:34:42,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2924420Z [2022-11-23 01:34:42,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2924856Z [2022-11-23 01:34:42,461] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.2925131Z [2022-11-23 01:34:42,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3629 2022-11-23T01:37:55.2925378Z [2022-11-23 01:34:42,462] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:55.2925732Z [2022-11-23 01:34:42,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR select_scatter [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.2926046Z [2022-11-23 01:34:42,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.select_scatter)] 2022-11-23T01:37:55.2926368Z [2022-11-23 01:34:42,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten.select_scatter), TensorVariable()] 2022-11-23T01:37:55.2926722Z [2022-11-23 01:34:42,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2927113Z [2022-11-23 01:34:42,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2927549Z [2022-11-23 01:34:42,468] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), TorchVariable(aten.select_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.2927823Z [2022-11-23 01:34:42,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2928068Z [2022-11-23 01:34:42,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.2928401Z [2022-11-23 01:34:42,469] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.2928646Z [2022-11-23 01:34:42,469] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.2928884Z [2022-11-23 01:34:42,469] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.2929137Z [2022-11-23 01:34:42,471] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.2929375Z [2022-11-23 01:34:42,474] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.2929568Z [2022-11-23 01:34:42,475] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.2929701Z __compiled_fn_357 .2959 opcode, name, target, args, kwargs 2022-11-23T01:37:55.2929789Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.2929876Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.2929958Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:37:55.2930095Z call_function, select_scatter, aten.select_scatter, (ex_0_, ex_1_, 1, 0), {} 2022-11-23T01:37:55.2930232Z call_function, select_scatter_1, aten.select_scatter, (ex_0_, ex_2_, 0, 1), {} 2022-11-23T01:37:55.2930348Z output, output, output, ((select_scatter, select_scatter_1),), {} 2022-11-23T01:37:55.2930353Z 2022-11-23T01:37:55.2930629Z [2022-11-23 01:34:42,475] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2930720Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.2930812Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2930904Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.2930992Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.2931068Z 8 RETURN_VALUE 2022-11-23T01:37:55.2931074Z 2022-11-23T01:37:55.2931133Z 2022-11-23T01:37:55.2931424Z [2022-11-23 01:34:42,475] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2931536Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_357) 2022-11-23T01:37:55.2931624Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2931714Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2931793Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.2931878Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2931963Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.2932026Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.2932140Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2932225Z 16 LOAD_CONST 3 (2) 2022-11-23T01:37:55.2932300Z 18 BINARY_SUBSCR 2022-11-23T01:37:55.2932386Z 20 CALL_FUNCTION 3 2022-11-23T01:37:55.2932489Z 22 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2932590Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2932666Z 26 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2932740Z 28 BINARY_SUBSCR 2022-11-23T01:37:55.2932839Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2932926Z 32 LOAD_CONST 2 (1) 2022-11-23T01:37:55.2932998Z 34 BINARY_SUBSCR 2022-11-23T01:37:55.2933085Z 36 BUILD_TUPLE 2 2022-11-23T01:37:55.2933158Z 38 RETURN_VALUE 2022-11-23T01:37:55.2933164Z 2022-11-23T01:37:55.2933212Z 2022-11-23T01:37:55.2933398Z [2022-11-23 01:34:42,476] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.2933470Z - 2022-11-23T01:37:55.2933591Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.2933656Z { 2022-11-23T01:37:55.2933797Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.2933988Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 3'], 2022-11-23T01:37:55.2934098Z 'obj_weakref': None 2022-11-23T01:37:55.2934326Z 'guarded_class': 2022-11-23T01:37:55.2934393Z } 2022-11-23T01:37:55.2934456Z 2022-11-23T01:37:55.2934527Z - 2022-11-23T01:37:55.2934654Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.2934718Z { 2022-11-23T01:37:55.2934850Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2934956Z 'code': None, 2022-11-23T01:37:55.2935172Z 'obj_weakref': 2022-11-23T01:37:55.2935431Z 'guarded_class': 2022-11-23T01:37:55.2935497Z } 2022-11-23T01:37:55.2935558Z 2022-11-23T01:37:55.2935627Z - 2022-11-23T01:37:55.2935741Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.2935803Z { 2022-11-23T01:37:55.2935946Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2936055Z 'code': None, 2022-11-23T01:37:55.2936270Z 'obj_weakref': 2022-11-23T01:37:55.2936525Z 'guarded_class': 2022-11-23T01:37:55.2936588Z } 2022-11-23T01:37:55.2936649Z 2022-11-23T01:37:55.2936706Z - 2022-11-23T01:37:55.2936829Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:37:55.2936893Z { 2022-11-23T01:37:55.2937036Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2937144Z 'code': None, 2022-11-23T01:37:55.2937356Z 'obj_weakref': 2022-11-23T01:37:55.2937647Z 'guarded_class': 2022-11-23T01:37:55.2937701Z } 2022-11-23T01:37:55.2937762Z 2022-11-23T01:37:55.2937834Z - 2022-11-23T01:37:55.2937964Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.2938027Z { 2022-11-23T01:37:55.2938163Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.2938322Z 'code': ['___check_obj_id(model, 140538744280992)'], 2022-11-23T01:37:55.2938443Z 'obj_weakref': None 2022-11-23T01:37:55.2938674Z 'guarded_class': 2022-11-23T01:37:55.2938931Z } 2022-11-23T01:37:55.2939038Z 2022-11-23T01:37:55.2939123Z - 2022-11-23T01:37:55.2939251Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.2939302Z { 2022-11-23T01:37:55.2939444Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.2939667Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.2939789Z 'obj_weakref': None 2022-11-23T01:37:55.2940013Z 'guarded_class': 2022-11-23T01:37:55.2940077Z } 2022-11-23T01:37:55.2940139Z 2022-11-23T01:37:55.2940195Z - 2022-11-23T01:37:55.2940327Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.2940392Z { 2022-11-23T01:37:55.2940514Z 'guard_types': None, 2022-11-23T01:37:55.2940622Z 'code': None, 2022-11-23T01:37:55.2940744Z 'obj_weakref': None 2022-11-23T01:37:55.2940866Z 'guarded_class': None 2022-11-23T01:37:55.2940917Z } 2022-11-23T01:37:55.2940978Z 2022-11-23T01:37:55.2941241Z [2022-11-23 01:34:42,483] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 350 2022-11-23T01:37:55.2941616Z [2022-11-23 01:34:43,867] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ic/cicxi6bg2wb4timetsatp24gafwovobkp7n63u2h4o3ithf2m6tw.py 2022-11-23T01:37:55.2941882Z [2022-11-23 01:34:43,867] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 350 2022-11-23T01:37:55.2941888Z 2022-11-23T01:37:55.2941981Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.2942049Z import torch 2022-11-23T01:37:55.2942117Z import random 2022-11-23T01:37:55.2942219Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.2942336Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.2942344Z 2022-11-23T01:37:55.2942422Z aten = torch.ops.aten 2022-11-23T01:37:55.2942554Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.2942645Z async_compile = AsyncCompile() 2022-11-23T01:37:55.2942650Z 2022-11-23T01:37:55.2942654Z 2022-11-23T01:37:55.2942790Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.2942995Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.2943115Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.2943208Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.2943309Z const float* __restrict__ in_ptr2, 2022-11-23T01:37:55.2943406Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.2943501Z float* __restrict__ out_ptr1) 2022-11-23T01:37:55.2943559Z { 2022-11-23T01:37:55.2943637Z #pragma GCC ivdep 2022-11-23T01:37:55.2943718Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.2943766Z { 2022-11-23T01:37:55.2943842Z #pragma GCC ivdep 2022-11-23T01:37:55.2943922Z for(long i1=0; i1<197; i1+=1) 2022-11-23T01:37:55.2943984Z { 2022-11-23T01:37:55.2944061Z #pragma GCC ivdep 2022-11-23T01:37:55.2944144Z for(long i2=0; i2<38; i2+=1) 2022-11-23T01:37:55.2944206Z { 2022-11-23T01:37:55.2944323Z { 2022-11-23T01:37:55.2944391Z { 2022-11-23T01:37:55.2944492Z auto tmp3 = in_ptr0[i2 + (38*i0)]; 2022-11-23T01:37:55.2944600Z auto tmp4 = in_ptr1[i2 + (38*i1) + (7486*i0)]; 2022-11-23T01:37:55.2944703Z auto tmp0 = static_cast(i1); 2022-11-23T01:37:55.2944804Z auto tmp1 = static_cast(0); 2022-11-23T01:37:55.2944899Z auto tmp2 = tmp0 == tmp1; 2022-11-23T01:37:55.2944986Z auto tmp5 = tmp2 ? tmp3 : tmp4; 2022-11-23T01:37:55.2945128Z out_ptr0[i2 + (38*i1) + (7486*i0)] = tmp5; 2022-11-23T01:37:55.2945195Z } 2022-11-23T01:37:55.2945259Z } 2022-11-23T01:37:55.2945322Z } 2022-11-23T01:37:55.2945385Z } 2022-11-23T01:37:55.2945446Z } 2022-11-23T01:37:55.2945509Z #pragma GCC ivdep 2022-11-23T01:37:55.2945589Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.2945650Z { 2022-11-23T01:37:55.2945728Z #pragma GCC ivdep 2022-11-23T01:37:55.2945811Z for(long i1=0; i1<7486; i1+=1) 2022-11-23T01:37:55.2945873Z { 2022-11-23T01:37:55.2945922Z { 2022-11-23T01:37:55.2945984Z { 2022-11-23T01:37:55.2946075Z auto tmp3 = in_ptr2[i1]; 2022-11-23T01:37:55.2946171Z auto tmp4 = in_ptr1[i1 + (7486*i0)]; 2022-11-23T01:37:55.2946272Z auto tmp0 = static_cast(i0); 2022-11-23T01:37:55.2946370Z auto tmp1 = static_cast(1); 2022-11-23T01:37:55.2946463Z auto tmp2 = tmp0 == tmp1; 2022-11-23T01:37:55.2946547Z auto tmp5 = tmp2 ? tmp3 : tmp4; 2022-11-23T01:37:55.2946637Z out_ptr1[i1 + (7486*i0)] = tmp5; 2022-11-23T01:37:55.2946700Z } 2022-11-23T01:37:55.2946764Z } 2022-11-23T01:37:55.2946826Z } 2022-11-23T01:37:55.2946889Z } 2022-11-23T01:37:55.2946948Z } 2022-11-23T01:37:55.2947016Z ''') 2022-11-23T01:37:55.2947022Z 2022-11-23T01:37:55.2947038Z 2022-11-23T01:37:55.2947115Z async_compile.wait(globals()) 2022-11-23T01:37:55.2947185Z del async_compile 2022-11-23T01:37:55.2947190Z 2022-11-23T01:37:55.2947258Z def call(args): 2022-11-23T01:37:55.2947341Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:55.2947410Z args.clear() 2022-11-23T01:37:55.2947623Z buf0 = empty_strided((8, 197, 38), (7486, 38, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2947834Z buf1 = empty_strided((8, 197, 38), (7486, 38, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2948037Z kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:55.2948221Z del arg0_1 2022-11-23T01:37:55.2948294Z del arg1_1 2022-11-23T01:37:55.2948363Z del arg2_1 2022-11-23T01:37:55.2948445Z return (buf0, buf1, ) 2022-11-23T01:37:55.2948451Z 2022-11-23T01:37:55.2948456Z 2022-11-23T01:37:55.2948534Z if __name__ == "__main__": 2022-11-23T01:37:55.2948651Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.2948777Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.2948982Z arg0_1 = rand_strided((8, 197, 38), (7486, 38, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2949182Z arg1_1 = rand_strided((8, 38), (38, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2949385Z arg2_1 = rand_strided((197, 38), (38, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2949511Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:55.2949517Z 2022-11-23T01:37:55.2949586Z ok (1.426s) 2022-11-23T01:37:55.2949891Z test_sgn_cpu (__main__.CpuTests) ... [2022-11-23 01:34:43,878] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.2950207Z [2022-11-23 01:34:43,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.2950436Z [2022-11-23 01:34:43,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.2950681Z [2022-11-23 01:34:43,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.2950972Z [2022-11-23 01:34:43,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.2951301Z [2022-11-23 01:34:43,878] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.2951666Z [2022-11-23 01:34:43,879] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.2951765Z 671 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.2951864Z 2 LOAD_METHOD 1 (sgn) 2022-11-23T01:37:55.2951958Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.2952047Z 6 CALL_METHOD 1 2022-11-23T01:37:55.2952141Z 8 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.2952221Z 10 LOAD_METHOD 1 (sgn) 2022-11-23T01:37:55.2952309Z 12 LOAD_FAST 0 (a) 2022-11-23T01:37:55.2952399Z 14 LOAD_CONST 1 (1) 2022-11-23T01:37:55.2952471Z 16 BINARY_ADD 2022-11-23T01:37:55.2952560Z 18 CALL_METHOD 1 2022-11-23T01:37:55.2952651Z 20 LOAD_CONST 1 (1) 2022-11-23T01:37:55.2952731Z 22 BINARY_SUBTRACT 2022-11-23T01:37:55.2952804Z 24 BUILD_TUPLE 2 2022-11-23T01:37:55.2952880Z 26 RETURN_VALUE 2022-11-23T01:37:55.2952944Z 2022-11-23T01:37:55.2952949Z 2022-11-23T01:37:55.2953224Z [2022-11-23 01:34:43,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:671 2022-11-23T01:37:55.2953448Z [2022-11-23 01:34:43,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.2953817Z [2022-11-23 01:34:43,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sgn [TorchVariable()] 2022-11-23T01:37:55.2954140Z [2022-11-23 01:34:43,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:55.2954498Z [2022-11-23 01:34:43,879] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.2954752Z [2022-11-23 01:34:43,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:37:55.2955135Z [2022-11-23 01:34:43,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sgn [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.2955485Z [2022-11-23 01:34:43,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.2955863Z [2022-11-23 01:34:43,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.2956282Z [2022-11-23 01:34:43,881] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2956668Z [2022-11-23 01:34:43,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.2956969Z [2022-11-23 01:34:43,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2957297Z [2022-11-23 01:34:43,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBTRACT None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.2957570Z [2022-11-23 01:34:43,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.2957820Z [2022-11-23 01:34:43,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.2958184Z [2022-11-23 01:34:43,884] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.2958434Z [2022-11-23 01:34:43,884] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.2958674Z [2022-11-23 01:34:43,884] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.2958920Z [2022-11-23 01:34:43,885] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.2959174Z [2022-11-23 01:34:43,890] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.2959367Z [2022-11-23 01:34:43,890] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.2959500Z __compiled_fn_358 .2965 opcode, name, target, args, kwargs 2022-11-23T01:37:55.2959589Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.2959816Z call_function, sgn, , (ex_0_,), {} 2022-11-23T01:37:55.2959995Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:55.2960215Z call_function, sgn_1, , (add,), {} 2022-11-23T01:37:55.2960377Z call_function, sub, , (sgn_1, 1), {} 2022-11-23T01:37:55.2960480Z output, output, output, ((sgn, sub),), {} 2022-11-23T01:37:55.2960486Z 2022-11-23T01:37:55.2960766Z [2022-11-23 01:34:43,890] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2960862Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.2960951Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2961041Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.2961129Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.2961204Z 8 RETURN_VALUE 2022-11-23T01:37:55.2961212Z 2022-11-23T01:37:55.2961260Z 2022-11-23T01:37:55.2961538Z [2022-11-23 01:34:43,891] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2961643Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_358) 2022-11-23T01:37:55.2961730Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2961819Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2961895Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.2961981Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.2962071Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2962169Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2962258Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2962335Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.2962435Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2962523Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.2962596Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.2962669Z 24 BUILD_TUPLE 2 2022-11-23T01:37:55.2962743Z 26 RETURN_VALUE 2022-11-23T01:37:55.2962748Z 2022-11-23T01:37:55.2962807Z 2022-11-23T01:37:55.2962994Z [2022-11-23 01:34:43,891] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.2963101Z - 2022-11-23T01:37:55.2963224Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.2963287Z { 2022-11-23T01:37:55.2963420Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.2963609Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.2963732Z 'obj_weakref': None 2022-11-23T01:37:55.2963958Z 'guarded_class': 2022-11-23T01:37:55.2964023Z } 2022-11-23T01:37:55.2964085Z 2022-11-23T01:37:55.2964188Z - 2022-11-23T01:37:55.2964302Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.2964367Z { 2022-11-23T01:37:55.2964510Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2964619Z 'code': None, 2022-11-23T01:37:55.2964835Z 'obj_weakref': 2022-11-23T01:37:55.2965094Z 'guarded_class': 2022-11-23T01:37:55.2965161Z } 2022-11-23T01:37:55.2965223Z 2022-11-23T01:37:55.2965280Z - 2022-11-23T01:37:55.2965410Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.2965472Z { 2022-11-23T01:37:55.2965608Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.2965780Z 'code': ['___check_obj_id(model, 140538739799824)'], 2022-11-23T01:37:55.2965901Z 'obj_weakref': None 2022-11-23T01:37:55.2966133Z 'guarded_class': 2022-11-23T01:37:55.2966187Z } 2022-11-23T01:37:55.2966250Z 2022-11-23T01:37:55.2966323Z - 2022-11-23T01:37:55.2966445Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.2966507Z { 2022-11-23T01:37:55.2966645Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.2966853Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.2966975Z 'obj_weakref': None 2022-11-23T01:37:55.2967195Z 'guarded_class': 2022-11-23T01:37:55.2967259Z } 2022-11-23T01:37:55.2967320Z 2022-11-23T01:37:55.2967390Z - 2022-11-23T01:37:55.2967525Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.2967575Z { 2022-11-23T01:37:55.2967699Z 'guard_types': None, 2022-11-23T01:37:55.2967812Z 'code': None, 2022-11-23T01:37:55.2967933Z 'obj_weakref': None 2022-11-23T01:37:55.2968054Z 'guarded_class': None 2022-11-23T01:37:55.2968116Z } 2022-11-23T01:37:55.2968177Z 2022-11-23T01:37:55.2968428Z [2022-11-23 01:34:43,901] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 351 2022-11-23T01:37:55.2968807Z [2022-11-23 01:34:45,422] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gp/cgpc2hiqapkxg3zdarocz57czhr42gsexb5fnuvndt5wyak6vbnk.py 2022-11-23T01:37:55.2969074Z [2022-11-23 01:34:45,422] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 351 2022-11-23T01:37:55.2969080Z 2022-11-23T01:37:55.2969175Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.2969242Z import torch 2022-11-23T01:37:55.2969310Z import random 2022-11-23T01:37:55.2969424Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.2969547Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.2969554Z 2022-11-23T01:37:55.2969619Z aten = torch.ops.aten 2022-11-23T01:37:55.2969752Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.2969841Z async_compile = AsyncCompile() 2022-11-23T01:37:55.2969846Z 2022-11-23T01:37:55.2969851Z 2022-11-23T01:37:55.2970014Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.2970221Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.2970339Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.2970437Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.2970531Z float* __restrict__ out_ptr1) 2022-11-23T01:37:55.2970579Z { 2022-11-23T01:37:55.2970658Z for(long i0=0; i0<5; i0+=1) 2022-11-23T01:37:55.2970719Z { 2022-11-23T01:37:55.2970869Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.2971072Z auto tmp1 = decltype(tmp0)::blendv(decltype(tmp0)(0), decltype(tmp0)(1), decltype(tmp0)(0) < tmp0); 2022-11-23T01:37:55.2971239Z auto tmp2 = decltype(tmp0)::blendv(decltype(tmp0)(0), decltype(tmp0)(1), tmp0 < decltype(tmp0)(0)); 2022-11-23T01:37:55.2971363Z auto tmp3 = tmp1 - tmp2; 2022-11-23T01:37:55.2971498Z auto tmp4 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:55.2971568Z auto tmp5 = tmp0 + tmp4; 2022-11-23T01:37:55.2971733Z auto tmp6 = decltype(tmp5)::blendv(decltype(tmp5)(0), decltype(tmp5)(1), decltype(tmp5)(0) < tmp5); 2022-11-23T01:37:55.2971899Z auto tmp7 = decltype(tmp5)::blendv(decltype(tmp5)(0), decltype(tmp5)(1), tmp5 < decltype(tmp5)(0)); 2022-11-23T01:37:55.2972022Z auto tmp8 = tmp6 - tmp7; 2022-11-23T01:37:55.2972142Z auto tmp9 = tmp8 - tmp4; 2022-11-23T01:37:55.2972229Z tmp3.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.2972313Z tmp9.store(out_ptr1 + 8*i0); 2022-11-23T01:37:55.2972375Z } 2022-11-23T01:37:55.2972448Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.2972527Z for(long i0=40; i0<41; i0+=1) 2022-11-23T01:37:55.2972589Z { 2022-11-23T01:37:55.2972669Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.2980795Z auto tmp1 = tmp0 > 0 ? 1 : 0; 2022-11-23T01:37:55.2980946Z auto tmp2 = tmp0 < 0 ? 1 : 0; 2022-11-23T01:37:55.2981105Z auto tmp3 = tmp1 - tmp2; 2022-11-23T01:37:55.2981198Z auto tmp4 = static_cast(1); 2022-11-23T01:37:55.2981273Z auto tmp5 = tmp0 + tmp4; 2022-11-23T01:37:55.2981346Z auto tmp6 = tmp5 > 0 ? 1 : 0; 2022-11-23T01:37:55.2981414Z auto tmp7 = tmp5 < 0 ? 1 : 0; 2022-11-23T01:37:55.2981527Z auto tmp8 = tmp6 - tmp7; 2022-11-23T01:37:55.2981639Z auto tmp9 = tmp8 - tmp4; 2022-11-23T01:37:55.2981705Z out_ptr0[i0] = tmp3; 2022-11-23T01:37:55.2981770Z out_ptr1[i0] = tmp9; 2022-11-23T01:37:55.2981824Z } 2022-11-23T01:37:55.2981878Z } 2022-11-23T01:37:55.2981949Z ''') 2022-11-23T01:37:55.2981955Z 2022-11-23T01:37:55.2981960Z 2022-11-23T01:37:55.2982040Z async_compile.wait(globals()) 2022-11-23T01:37:55.2982110Z del async_compile 2022-11-23T01:37:55.2982115Z 2022-11-23T01:37:55.2982172Z def call(args): 2022-11-23T01:37:55.2982237Z arg0_1, = args 2022-11-23T01:37:55.2982307Z args.clear() 2022-11-23T01:37:55.2982514Z buf0 = empty_strided((41, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2982701Z buf1 = empty_strided((41, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2982857Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:55.2982914Z del arg0_1 2022-11-23T01:37:55.2982977Z return (buf0, buf1, ) 2022-11-23T01:37:55.2982983Z 2022-11-23T01:37:55.2982994Z 2022-11-23T01:37:55.2983056Z if __name__ == "__main__": 2022-11-23T01:37:55.2983171Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.2983297Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.2983497Z arg0_1 = rand_strided((41, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.2983605Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.2983611Z 2022-11-23T01:37:55.2983679Z ok (1.552s) 2022-11-23T01:37:55.2984132Z test_sgn_extremal_cpu (__main__.CpuTests) ... [2022-11-23 01:34:45,432] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.2984416Z [2022-11-23 01:34:45,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.2984626Z [2022-11-23 01:34:45,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.2984889Z [2022-11-23 01:34:45,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.2985179Z [2022-11-23 01:34:45,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.2985559Z [2022-11-23 01:34:45,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.2985891Z [2022-11-23 01:34:45,433] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.2985990Z 677 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.2986085Z 2 LOAD_METHOD 1 (sgn) 2022-11-23T01:37:55.2986176Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.2986253Z 6 CALL_METHOD 1 2022-11-23T01:37:55.2986342Z 8 BUILD_TUPLE 1 2022-11-23T01:37:55.2986419Z 10 RETURN_VALUE 2022-11-23T01:37:55.2986483Z 2022-11-23T01:37:55.2986488Z 2022-11-23T01:37:55.2986759Z [2022-11-23 01:34:45,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:677 2022-11-23T01:37:55.2986987Z [2022-11-23 01:34:45,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.2987361Z [2022-11-23 01:34:45,433] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sgn [TorchVariable()] 2022-11-23T01:37:55.2987685Z [2022-11-23 01:34:45,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:55.2988041Z [2022-11-23 01:34:45,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.2988362Z [2022-11-23 01:34:45,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.2988617Z [2022-11-23 01:34:45,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.2988954Z [2022-11-23 01:34:45,436] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.2989204Z [2022-11-23 01:34:45,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.2989446Z [2022-11-23 01:34:45,436] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.2989706Z [2022-11-23 01:34:45,438] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.2989962Z [2022-11-23 01:34:45,441] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.2990156Z [2022-11-23 01:34:45,442] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.2990293Z __compiled_fn_359 .2971 opcode, name, target, args, kwargs 2022-11-23T01:37:55.2990373Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.2990604Z call_function, sgn, , (ex_0_,), {} 2022-11-23T01:37:55.2990704Z output, output, output, ((sgn,),), {} 2022-11-23T01:37:55.2990710Z 2022-11-23T01:37:55.2990991Z [2022-11-23 01:34:45,442] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2991124Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.2991218Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2991312Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.2991404Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.2991468Z 8 RETURN_VALUE 2022-11-23T01:37:55.2991486Z 2022-11-23T01:37:55.2991534Z 2022-11-23T01:37:55.2991815Z [2022-11-23 01:34:45,442] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.2991926Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_359) 2022-11-23T01:37:55.2992067Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.2992159Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2992236Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.2992325Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.2992418Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2992521Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.2992610Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.2992687Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.2992775Z 18 BUILD_TUPLE 1 2022-11-23T01:37:55.2992850Z 20 RETURN_VALUE 2022-11-23T01:37:55.2992854Z 2022-11-23T01:37:55.2992916Z 2022-11-23T01:37:55.2993089Z [2022-11-23 01:34:45,443] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.2993162Z - 2022-11-23T01:37:55.2993286Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.2993355Z { 2022-11-23T01:37:55.2993502Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.2993696Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.2993820Z 'obj_weakref': None 2022-11-23T01:37:55.2994033Z 'guarded_class': 2022-11-23T01:37:55.2994102Z } 2022-11-23T01:37:55.2994167Z 2022-11-23T01:37:55.2994238Z - 2022-11-23T01:37:55.2994367Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.2994431Z { 2022-11-23T01:37:55.2994578Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.2994675Z 'code': None, 2022-11-23T01:37:55.2994893Z 'obj_weakref': 2022-11-23T01:37:55.2995152Z 'guarded_class': 2022-11-23T01:37:55.2995220Z } 2022-11-23T01:37:55.2995283Z 2022-11-23T01:37:55.2995356Z - 2022-11-23T01:37:55.2995491Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.2995542Z { 2022-11-23T01:37:55.2995680Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.2995858Z 'code': ['___check_obj_id(model, 140539203360816)'], 2022-11-23T01:37:55.2995982Z 'obj_weakref': None 2022-11-23T01:37:55.2996217Z 'guarded_class': 2022-11-23T01:37:55.2996283Z } 2022-11-23T01:37:55.2996348Z 2022-11-23T01:37:55.2996407Z - 2022-11-23T01:37:55.2996530Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.2996594Z { 2022-11-23T01:37:55.2996735Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.2996956Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.2997081Z 'obj_weakref': None 2022-11-23T01:37:55.2997308Z 'guarded_class': 2022-11-23T01:37:55.2997359Z } 2022-11-23T01:37:55.2997421Z 2022-11-23T01:37:55.2997491Z - 2022-11-23T01:37:55.2997628Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.2997729Z { 2022-11-23T01:37:55.2997857Z 'guard_types': None, 2022-11-23T01:37:55.2997967Z 'code': None, 2022-11-23T01:37:55.2998076Z 'obj_weakref': None 2022-11-23T01:37:55.2998199Z 'guarded_class': None 2022-11-23T01:37:55.2998264Z } 2022-11-23T01:37:55.2998329Z 2022-11-23T01:37:55.2998593Z [2022-11-23 01:34:45,451] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 352 2022-11-23T01:37:55.2998969Z [2022-11-23 01:34:46,820] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zq/czqx7cteii34pdf3nivarot7fk2ill2rlivkkduqtroanfvmnwcm.py 2022-11-23T01:37:55.2999272Z [2022-11-23 01:34:46,821] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 352 2022-11-23T01:37:55.2999277Z 2022-11-23T01:37:55.2999373Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.2999430Z import torch 2022-11-23T01:37:55.2999501Z import random 2022-11-23T01:37:55.2999620Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.2999744Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.2999749Z 2022-11-23T01:37:55.2999829Z aten = torch.ops.aten 2022-11-23T01:37:55.2999964Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.3000057Z async_compile = AsyncCompile() 2022-11-23T01:37:55.3000062Z 2022-11-23T01:37:55.3000066Z 2022-11-23T01:37:55.3000205Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.3000400Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.3000522Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.3000624Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.3000686Z { 2022-11-23T01:37:55.3000764Z #pragma GCC ivdep 2022-11-23T01:37:55.3000845Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:55.3000907Z { 2022-11-23T01:37:55.3000962Z { 2022-11-23T01:37:55.3001025Z { 2022-11-23T01:37:55.3001115Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.3001208Z auto tmp1 = tmp0 > 0 ? 1 : 0; 2022-11-23T01:37:55.3001300Z auto tmp2 = tmp0 < 0 ? 1 : 0; 2022-11-23T01:37:55.3001434Z auto tmp3 = tmp1 - tmp2; 2022-11-23T01:37:55.3001519Z out_ptr0[i0] = tmp3; 2022-11-23T01:37:55.3001570Z } 2022-11-23T01:37:55.3001632Z } 2022-11-23T01:37:55.3001694Z } 2022-11-23T01:37:55.3001756Z } 2022-11-23T01:37:55.3001837Z ''') 2022-11-23T01:37:55.3001845Z 2022-11-23T01:37:55.3001849Z 2022-11-23T01:37:55.3001940Z async_compile.wait(globals()) 2022-11-23T01:37:55.3002000Z del async_compile 2022-11-23T01:37:55.3002018Z 2022-11-23T01:37:55.3002076Z def call(args): 2022-11-23T01:37:55.3002145Z arg0_1, = args 2022-11-23T01:37:55.3002217Z args.clear() 2022-11-23T01:37:55.3002412Z buf0 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3002546Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.3002616Z del arg0_1 2022-11-23T01:37:55.3002689Z return (buf0, ) 2022-11-23T01:37:55.3002693Z 2022-11-23T01:37:55.3002697Z 2022-11-23T01:37:55.3002759Z if __name__ == "__main__": 2022-11-23T01:37:55.3002875Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.3002997Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.3003192Z arg0_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3003299Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.3003307Z 2022-11-23T01:37:55.3003374Z ok (1.398s) 2022-11-23T01:37:55.3003684Z test_sigmoid_cpu (__main__.CpuTests) ... [2022-11-23 01:34:46,829] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.3003990Z [2022-11-23 01:34:46,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.3004203Z [2022-11-23 01:34:46,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.3004462Z [2022-11-23 01:34:46,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.3004753Z [2022-11-23 01:34:46,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.3005080Z [2022-11-23 01:34:46,829] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.3005449Z [2022-11-23 01:34:46,829] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.3005548Z 1007 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.3005646Z 2 LOAD_METHOD 1 (sigmoid) 2022-11-23T01:37:55.3005739Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.3005830Z 6 CALL_METHOD 1 2022-11-23T01:37:55.3005912Z 8 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.3006009Z 10 LOAD_METHOD 1 (sigmoid) 2022-11-23T01:37:55.3006099Z 12 LOAD_FAST 0 (a) 2022-11-23T01:37:55.3006187Z 14 LOAD_FAST 1 (b) 2022-11-23T01:37:55.3006261Z 16 BINARY_ADD 2022-11-23T01:37:55.3006351Z 18 CALL_METHOD 1 2022-11-23T01:37:55.3006440Z 20 BUILD_TUPLE 2 2022-11-23T01:37:55.3006505Z 22 RETURN_VALUE 2022-11-23T01:37:55.3006565Z 2022-11-23T01:37:55.3006570Z 2022-11-23T01:37:55.3006844Z [2022-11-23 01:34:46,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1007 2022-11-23T01:37:55.3007067Z [2022-11-23 01:34:46,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.3007444Z [2022-11-23 01:34:46,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sigmoid [TorchVariable()] 2022-11-23T01:37:55.3007774Z [2022-11-23 01:34:46,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:55.3008137Z [2022-11-23 01:34:46,830] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.3008392Z [2022-11-23 01:34:46,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:37:55.3008795Z [2022-11-23 01:34:46,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sigmoid [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.3009153Z [2022-11-23 01:34:46,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.3009538Z [2022-11-23 01:34:46,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.3009943Z [2022-11-23 01:34:46,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3010339Z [2022-11-23 01:34:46,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.3010646Z [2022-11-23 01:34:46,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3010899Z [2022-11-23 01:34:46,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.3011236Z [2022-11-23 01:34:46,835] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.3011483Z [2022-11-23 01:34:46,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.3011720Z [2022-11-23 01:34:46,835] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.3012012Z [2022-11-23 01:34:46,836] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.3012267Z [2022-11-23 01:34:46,841] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.3012462Z [2022-11-23 01:34:46,841] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.3012587Z __compiled_fn_360 .2977 opcode, name, target, args, kwargs 2022-11-23T01:37:55.3012678Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.3012768Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.3013007Z call_function, sigmoid, , (ex_0_,), {} 2022-11-23T01:37:55.3013191Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.3013428Z call_function, sigmoid_1, , (add,), {} 2022-11-23T01:37:55.3013541Z output, output, output, ((sigmoid, sigmoid_1),), {} 2022-11-23T01:37:55.3013549Z 2022-11-23T01:37:55.3013834Z [2022-11-23 01:34:46,842] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3013915Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.3014008Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3014103Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.3014195Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.3014272Z 8 RETURN_VALUE 2022-11-23T01:37:55.3014278Z 2022-11-23T01:37:55.3014339Z 2022-11-23T01:37:55.3014618Z [2022-11-23 01:34:46,842] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3014729Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_360) 2022-11-23T01:37:55.3014806Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3014895Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3014976Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.3015063Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3015153Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.3015228Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.3015318Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.3015412Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3015513Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3015602Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3015679Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.3015779Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3015863Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:55.3015943Z 28 BINARY_SUBSCR 2022-11-23T01:37:55.3016032Z 30 BUILD_TUPLE 2 2022-11-23T01:37:55.3016106Z 32 RETURN_VALUE 2022-11-23T01:37:55.3016113Z 2022-11-23T01:37:55.3016171Z 2022-11-23T01:37:55.3016343Z [2022-11-23 01:34:46,843] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.3016413Z - 2022-11-23T01:37:55.3016534Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.3016597Z { 2022-11-23T01:37:55.3016739Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.3016991Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.3017116Z 'obj_weakref': None 2022-11-23T01:37:55.3017330Z 'guarded_class': 2022-11-23T01:37:55.3017394Z } 2022-11-23T01:37:55.3017456Z 2022-11-23T01:37:55.3017527Z - 2022-11-23T01:37:55.3017652Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.3017716Z { 2022-11-23T01:37:55.3017861Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.3017957Z 'code': None, 2022-11-23T01:37:55.3018204Z 'obj_weakref': 2022-11-23T01:37:55.3018462Z 'guarded_class': 2022-11-23T01:37:55.3018527Z } 2022-11-23T01:37:55.3018590Z 2022-11-23T01:37:55.3018660Z - 2022-11-23T01:37:55.3018963Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.3019030Z { 2022-11-23T01:37:55.3019186Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.3019297Z 'code': None, 2022-11-23T01:37:55.3019515Z 'obj_weakref': 2022-11-23T01:37:55.3019771Z 'guarded_class': 2022-11-23T01:37:55.3019836Z } 2022-11-23T01:37:55.3019900Z 2022-11-23T01:37:55.3019960Z - 2022-11-23T01:37:55.3020097Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.3020166Z { 2022-11-23T01:37:55.3020304Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.3020477Z 'code': ['___check_obj_id(model, 140538739007856)'], 2022-11-23T01:37:55.3020604Z 'obj_weakref': None 2022-11-23T01:37:55.3020842Z 'guarded_class': 2022-11-23T01:37:55.3020894Z } 2022-11-23T01:37:55.3020959Z 2022-11-23T01:37:55.3021033Z - 2022-11-23T01:37:55.3021160Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.3021230Z { 2022-11-23T01:37:55.3021370Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.3021592Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.3021702Z 'obj_weakref': None 2022-11-23T01:37:55.3021926Z 'guarded_class': 2022-11-23T01:37:55.3021995Z } 2022-11-23T01:37:55.3022061Z 2022-11-23T01:37:55.3022134Z - 2022-11-23T01:37:55.3022271Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.3022335Z { 2022-11-23T01:37:55.3022445Z 'guard_types': None, 2022-11-23T01:37:55.3022556Z 'code': None, 2022-11-23T01:37:55.3022680Z 'obj_weakref': None 2022-11-23T01:37:55.3022806Z 'guarded_class': None 2022-11-23T01:37:55.3022871Z } 2022-11-23T01:37:55.3022934Z 2022-11-23T01:37:55.3023198Z [2022-11-23 01:34:46,850] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 353 2022-11-23T01:37:55.3023558Z [2022-11-23 01:34:48,232] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nm/cnmt5qivyurbtrpeg7a7iz2fi2qg6iarcnalemftmydc3cjnzesd.py 2022-11-23T01:37:55.3023832Z [2022-11-23 01:34:48,232] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 353 2022-11-23T01:37:55.3023842Z 2022-11-23T01:37:55.3023942Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.3024014Z import torch 2022-11-23T01:37:55.3024088Z import random 2022-11-23T01:37:55.3024204Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.3024388Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.3024395Z 2022-11-23T01:37:55.3024475Z aten = torch.ops.aten 2022-11-23T01:37:55.3024596Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.3024689Z async_compile = AsyncCompile() 2022-11-23T01:37:55.3024695Z 2022-11-23T01:37:55.3024699Z 2022-11-23T01:37:55.3024839Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.3025048Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.3025171Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.3025318Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.3025421Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.3025521Z float* __restrict__ out_ptr1) 2022-11-23T01:37:55.3025568Z { 2022-11-23T01:37:55.3025649Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.3025711Z { 2022-11-23T01:37:55.3025863Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.3025993Z auto tmp2 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.3026127Z auto tmp1 = decltype(tmp0)(1)/(decltype(tmp0)(1) + tmp0.neg().exp()); 2022-11-23T01:37:55.3026211Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:37:55.3026330Z auto tmp4 = decltype(tmp3)(1)/(decltype(tmp3)(1) + tmp3.neg().exp()); 2022-11-23T01:37:55.3026423Z tmp1.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.3026507Z tmp4.store(out_ptr1 + 8*i0); 2022-11-23T01:37:55.3026567Z } 2022-11-23T01:37:55.3026654Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.3026735Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:37:55.3026796Z { 2022-11-23T01:37:55.3026863Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.3026943Z auto tmp3 = in_ptr1[i0]; 2022-11-23T01:37:55.3027074Z auto tmp1 = std::exp(-tmp0); 2022-11-23T01:37:55.3027156Z auto tmp2 = 1 / (1 + tmp1); 2022-11-23T01:37:55.3027238Z auto tmp4 = tmp0 + tmp3; 2022-11-23T01:37:55.3027366Z auto tmp5 = std::exp(-tmp4); 2022-11-23T01:37:55.3027445Z auto tmp6 = 1 / (1 + tmp5); 2022-11-23T01:37:55.3027509Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.3027582Z out_ptr1[i0] = tmp6; 2022-11-23T01:37:55.3027641Z } 2022-11-23T01:37:55.3027699Z } 2022-11-23T01:37:55.3027778Z ''') 2022-11-23T01:37:55.3027784Z 2022-11-23T01:37:55.3027788Z 2022-11-23T01:37:55.3027879Z async_compile.wait(globals()) 2022-11-23T01:37:55.3027951Z del async_compile 2022-11-23T01:37:55.3027956Z 2022-11-23T01:37:55.3028014Z def call(args): 2022-11-23T01:37:55.3028091Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.3028248Z args.clear() 2022-11-23T01:37:55.3028453Z buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3028652Z buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3028846Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:55.3028916Z del arg0_1 2022-11-23T01:37:55.3028982Z del arg1_1 2022-11-23T01:37:55.3029047Z return (buf0, buf1, ) 2022-11-23T01:37:55.3029051Z 2022-11-23T01:37:55.3029056Z 2022-11-23T01:37:55.3029131Z if __name__ == "__main__": 2022-11-23T01:37:55.3029244Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.3029367Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.3029569Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3029770Z arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3029885Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.3029891Z 2022-11-23T01:37:55.3029957Z ok (1.412s) 2022-11-23T01:37:55.3030289Z test_signbit_cpu (__main__.CpuTests) ... [2022-11-23 01:34:48,240] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.3030566Z [2022-11-23 01:34:48,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.3030790Z [2022-11-23 01:34:48,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.3031047Z [2022-11-23 01:34:48,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.3031340Z [2022-11-23 01:34:48,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.3031667Z [2022-11-23 01:34:48,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.3032035Z [2022-11-23 01:34:48,240] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.3032134Z 2657 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.3032229Z 2 LOAD_METHOD 1 (signbit) 2022-11-23T01:37:55.3032306Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:55.3032394Z 6 CALL_METHOD 1 2022-11-23T01:37:55.3032486Z 8 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.3032581Z 10 LOAD_METHOD 1 (signbit) 2022-11-23T01:37:55.3032668Z 12 LOAD_FAST 0 (x) 2022-11-23T01:37:55.3032745Z 14 UNARY_NEGATIVE 2022-11-23T01:37:55.3032831Z 16 CALL_METHOD 1 2022-11-23T01:37:55.3032896Z 18 UNARY_INVERT 2022-11-23T01:37:55.3032982Z 20 LOAD_CONST 1 (1) 2022-11-23T01:37:55.3033054Z 22 BINARY_AND 2022-11-23T01:37:55.3033142Z 24 BUILD_TUPLE 2 2022-11-23T01:37:55.3033216Z 26 RETURN_VALUE 2022-11-23T01:37:55.3033274Z 2022-11-23T01:37:55.3033281Z 2022-11-23T01:37:55.3033555Z [2022-11-23 01:34:48,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2657 2022-11-23T01:37:55.3033775Z [2022-11-23 01:34:48,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.3034137Z [2022-11-23 01:34:48,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR signbit [TorchVariable()] 2022-11-23T01:37:55.3034461Z [2022-11-23 01:34:48,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:37:55.3034827Z [2022-11-23 01:34:48,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.3035078Z [2022-11-23 01:34:48,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:37:55.3035478Z [2022-11-23 01:34:48,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR signbit [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.3035827Z [2022-11-23 01:34:48,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.3036227Z [2022-11-23 01:34:48,244] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNARY_NEGATIVE None [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.3036616Z [2022-11-23 01:34:48,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.3036924Z [2022-11-23 01:34:48,245] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNARY_INVERT None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3037195Z [2022-11-23 01:34:48,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3037507Z [2022-11-23 01:34:48,246] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_AND None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3037778Z [2022-11-23 01:34:48,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3038013Z [2022-11-23 01:34:48,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.3038394Z [2022-11-23 01:34:48,248] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.3038641Z [2022-11-23 01:34:48,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.3038879Z [2022-11-23 01:34:48,248] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.3039137Z [2022-11-23 01:34:48,249] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.3039391Z [2022-11-23 01:34:48,254] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.3039583Z [2022-11-23 01:34:48,254] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.3039718Z __compiled_fn_361 .2983 opcode, name, target, args, kwargs 2022-11-23T01:37:55.3039808Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.3040037Z call_function, signbit, , (ex_0_,), {} 2022-11-23T01:37:55.3040211Z call_function, neg, , (ex_0_,), {} 2022-11-23T01:37:55.3040447Z call_function, signbit_1, , (neg,), {} 2022-11-23T01:37:55.3040639Z call_function, invert, , (signbit_1,), {} 2022-11-23T01:37:55.3040821Z call_function, and_, , (invert, 1), {} 2022-11-23T01:37:55.3040930Z output, output, output, ((signbit, and_),), {} 2022-11-23T01:37:55.3040935Z 2022-11-23T01:37:55.3041216Z [2022-11-23 01:34:48,254] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3041313Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.3041391Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3041483Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.3041574Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.3041648Z 8 RETURN_VALUE 2022-11-23T01:37:55.3041654Z 2022-11-23T01:37:55.3041714Z 2022-11-23T01:37:55.3041993Z [2022-11-23 01:34:48,255] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3042103Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_361) 2022-11-23T01:37:55.3042196Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3042272Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3042346Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.3042433Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.3042536Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3042636Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3042722Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3042796Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.3042885Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3042972Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.3043047Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.3043133Z 24 BUILD_TUPLE 2 2022-11-23T01:37:55.3043207Z 26 RETURN_VALUE 2022-11-23T01:37:55.3043212Z 2022-11-23T01:37:55.3043306Z 2022-11-23T01:37:55.3043495Z [2022-11-23 01:34:48,255] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.3043554Z - 2022-11-23T01:37:55.3043673Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.3043737Z { 2022-11-23T01:37:55.3043880Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.3044069Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.3044225Z 'obj_weakref': None 2022-11-23T01:37:55.3044558Z 'guarded_class': 2022-11-23T01:37:55.3044662Z } 2022-11-23T01:37:55.3044726Z 2022-11-23T01:37:55.3044798Z - 2022-11-23T01:37:55.3044925Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.3044988Z { 2022-11-23T01:37:55.3045134Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.3045245Z 'code': None, 2022-11-23T01:37:55.3045452Z 'obj_weakref': 2022-11-23T01:37:55.3045708Z 'guarded_class': 2022-11-23T01:37:55.3045773Z } 2022-11-23T01:37:55.3045837Z 2022-11-23T01:37:55.3045907Z - 2022-11-23T01:37:55.3046040Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.3046103Z { 2022-11-23T01:37:55.3046276Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.3046495Z 'code': ['___check_obj_id(model, 140538744298816)'], 2022-11-23T01:37:55.3046621Z 'obj_weakref': None 2022-11-23T01:37:55.3046853Z 'guarded_class': 2022-11-23T01:37:55.3046916Z } 2022-11-23T01:37:55.3046977Z 2022-11-23T01:37:55.3047049Z - 2022-11-23T01:37:55.3047162Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.3047226Z { 2022-11-23T01:37:55.3047364Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.3047582Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.3047702Z 'obj_weakref': None 2022-11-23T01:37:55.3047926Z 'guarded_class': 2022-11-23T01:37:55.3047988Z } 2022-11-23T01:37:55.3048036Z 2022-11-23T01:37:55.3048106Z - 2022-11-23T01:37:55.3048239Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.3048305Z { 2022-11-23T01:37:55.3048427Z 'guard_types': None, 2022-11-23T01:37:55.3048539Z 'code': None, 2022-11-23T01:37:55.3048659Z 'obj_weakref': None 2022-11-23T01:37:55.3048769Z 'guarded_class': None 2022-11-23T01:37:55.3048831Z } 2022-11-23T01:37:55.3048896Z 2022-11-23T01:37:55.3049160Z [2022-11-23 01:34:48,264] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 354 2022-11-23T01:37:55.3049542Z [2022-11-23 01:34:49,634] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jv/cjv4vzvdpdfw6yccyoyf6kgab2ghc2th53pskn5wqj3hjsde5m2r.py 2022-11-23T01:37:55.3049809Z [2022-11-23 01:34:49,635] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 354 2022-11-23T01:37:55.3049816Z 2022-11-23T01:37:55.3049909Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.3049976Z import torch 2022-11-23T01:37:55.3050034Z import random 2022-11-23T01:37:55.3050147Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.3050268Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.3050273Z 2022-11-23T01:37:55.3050350Z aten = torch.ops.aten 2022-11-23T01:37:55.3050484Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.3050616Z async_compile = AsyncCompile() 2022-11-23T01:37:55.3050622Z 2022-11-23T01:37:55.3050627Z 2022-11-23T01:37:55.3050765Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.3050971Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.3051077Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.3051172Z bool* __restrict__ out_ptr0, 2022-11-23T01:37:55.3051267Z long* __restrict__ out_ptr1) 2022-11-23T01:37:55.3051325Z { 2022-11-23T01:37:55.3051403Z #pragma GCC ivdep 2022-11-23T01:37:55.3051516Z for(long i0=0; i0<72; i0+=1) 2022-11-23T01:37:55.3051565Z { 2022-11-23T01:37:55.3051626Z { 2022-11-23T01:37:55.3051686Z { 2022-11-23T01:37:55.3051773Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.3051880Z auto tmp1 = std::signbit(tmp0); 2022-11-23T01:37:55.3052005Z auto tmp2 = -tmp0; 2022-11-23T01:37:55.3052108Z auto tmp3 = std::signbit(tmp2); 2022-11-23T01:37:55.3052181Z auto tmp4 = tmp3 == 0; 2022-11-23T01:37:55.3052283Z auto tmp5 = static_cast(tmp4); 2022-11-23T01:37:55.3052381Z auto tmp6 = static_cast(1); 2022-11-23T01:37:55.3052466Z auto tmp7 = tmp5 & tmp6; 2022-11-23T01:37:55.3052546Z out_ptr0[i0] = tmp1; 2022-11-23T01:37:55.3052625Z out_ptr1[i0] = tmp7; 2022-11-23T01:37:55.3052687Z } 2022-11-23T01:37:55.3052735Z } 2022-11-23T01:37:55.3052793Z } 2022-11-23T01:37:55.3052853Z } 2022-11-23T01:37:55.3052933Z ''') 2022-11-23T01:37:55.3052938Z 2022-11-23T01:37:55.3052942Z 2022-11-23T01:37:55.3053030Z async_compile.wait(globals()) 2022-11-23T01:37:55.3053101Z del async_compile 2022-11-23T01:37:55.3053106Z 2022-11-23T01:37:55.3053175Z def call(args): 2022-11-23T01:37:55.3053243Z arg0_1, = args 2022-11-23T01:37:55.3053301Z args.clear() 2022-11-23T01:37:55.3053516Z buf0 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:37:55.3053728Z buf1 = empty_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.3053893Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:55.3053961Z del arg0_1 2022-11-23T01:37:55.3054036Z return (buf0, buf1, ) 2022-11-23T01:37:55.3054041Z 2022-11-23T01:37:55.3054046Z 2022-11-23T01:37:55.3054121Z if __name__ == "__main__": 2022-11-23T01:37:55.3054222Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.3054346Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.3054559Z arg0_1 = rand_strided((1, 2, 6, 6), (72, 36, 6, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3054666Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.3054670Z 2022-11-23T01:37:55.3054735Z ok (1.402s) 2022-11-23T01:37:55.3055119Z test_silu_cpu (__main__.CpuTests) ... [2022-11-23 01:34:49,642] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.3055503Z [2022-11-23 01:34:49,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.3055835Z [2022-11-23 01:34:49,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.3056145Z [2022-11-23 01:34:49,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.3056423Z [2022-11-23 01:34:49,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.3056757Z [2022-11-23 01:34:49,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.3057133Z [2022-11-23 01:34:49,643] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.3057235Z 1037 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.3057330Z 2 LOAD_ATTR 1 (nn) 2022-11-23T01:37:55.3057430Z 4 LOAD_ATTR 2 (functional) 2022-11-23T01:37:55.3057521Z 6 LOAD_METHOD 3 (silu) 2022-11-23T01:37:55.3057609Z 8 LOAD_FAST 0 (a) 2022-11-23T01:37:55.3057687Z 10 CALL_METHOD 1 2022-11-23T01:37:55.3057776Z 12 BUILD_TUPLE 1 2022-11-23T01:37:55.3057896Z 14 RETURN_VALUE 2022-11-23T01:37:55.3057955Z 2022-11-23T01:37:55.3057960Z 2022-11-23T01:37:55.3058231Z [2022-11-23 01:34:49,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1037 2022-11-23T01:37:55.3058453Z [2022-11-23 01:34:49,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.3058991Z [2022-11-23 01:34:49,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable()] 2022-11-23T01:37:55.3059396Z [2022-11-23 01:34:49,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable()] 2022-11-23T01:37:55.3059797Z [2022-11-23 01:34:49,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR silu [TorchVariable()] 2022-11-23T01:37:55.3060089Z [2022-11-23 01:34:49,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:55.3060398Z [2022-11-23 01:34:49,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.3060644Z [2022-11-23 01:34:49,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.3060894Z [2022-11-23 01:34:49,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.3061227Z [2022-11-23 01:34:49,647] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.3061477Z [2022-11-23 01:34:49,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.3061720Z [2022-11-23 01:34:49,647] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.3061982Z [2022-11-23 01:34:49,648] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.3062238Z [2022-11-23 01:34:49,651] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.3062434Z [2022-11-23 01:34:49,652] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.3062557Z __compiled_fn_362 .2989 opcode, name, target, args, kwargs 2022-11-23T01:37:55.3062651Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.3062781Z call_function, silu, , (ex_0_,), {} 2022-11-23T01:37:55.3062879Z output, output, output, ((silu,),), {} 2022-11-23T01:37:55.3062884Z 2022-11-23T01:37:55.3063166Z [2022-11-23 01:34:49,652] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3063262Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.3063356Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3063451Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.3063529Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.3063606Z 8 RETURN_VALUE 2022-11-23T01:37:55.3063611Z 2022-11-23T01:37:55.3063680Z 2022-11-23T01:37:55.3064021Z [2022-11-23 01:34:49,652] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3064133Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_362) 2022-11-23T01:37:55.3064225Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3064315Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3064394Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.3064470Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.3064576Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3064721Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3064811Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3064889Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.3064979Z 18 BUILD_TUPLE 1 2022-11-23T01:37:55.3065057Z 20 RETURN_VALUE 2022-11-23T01:37:55.3065062Z 2022-11-23T01:37:55.3065109Z 2022-11-23T01:37:55.3065301Z [2022-11-23 01:34:49,653] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.3065376Z - 2022-11-23T01:37:55.3065500Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.3065566Z { 2022-11-23T01:37:55.3065711Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.3065907Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.3066017Z 'obj_weakref': None 2022-11-23T01:37:55.3066244Z 'guarded_class': 2022-11-23T01:37:55.3066315Z } 2022-11-23T01:37:55.3066379Z 2022-11-23T01:37:55.3066454Z - 2022-11-23T01:37:55.3066585Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.3066651Z { 2022-11-23T01:37:55.3066788Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.3066956Z 'code': None, 2022-11-23T01:37:55.3067251Z 'obj_weakref': 2022-11-23T01:37:55.3067514Z 'guarded_class': 2022-11-23T01:37:55.3067580Z } 2022-11-23T01:37:55.3067644Z 2022-11-23T01:37:55.3067716Z - 2022-11-23T01:37:55.3067836Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.3067902Z { 2022-11-23T01:37:55.3068041Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.3068295Z 'code': ['___check_obj_id(model, 140538744156672)'], 2022-11-23T01:37:55.3068425Z 'obj_weakref': None 2022-11-23T01:37:55.3068664Z 'guarded_class': 2022-11-23T01:37:55.3068729Z } 2022-11-23T01:37:55.3068779Z 2022-11-23T01:37:55.3068852Z - 2022-11-23T01:37:55.3068974Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.3069041Z { 2022-11-23T01:37:55.3069182Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.3069401Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.3069524Z 'obj_weakref': None 2022-11-23T01:37:55.3069735Z 'guarded_class': 2022-11-23T01:37:55.3069801Z } 2022-11-23T01:37:55.3069863Z 2022-11-23T01:37:55.3069934Z - 2022-11-23T01:37:55.3070071Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.3070139Z { 2022-11-23T01:37:55.3070262Z 'guard_types': None, 2022-11-23T01:37:55.3070359Z 'code': None, 2022-11-23T01:37:55.3070481Z 'obj_weakref': None 2022-11-23T01:37:55.3070604Z 'guarded_class': None 2022-11-23T01:37:55.3070669Z } 2022-11-23T01:37:55.3070732Z 2022-11-23T01:37:55.3071038Z [2022-11-23 01:34:49,662] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 355 2022-11-23T01:37:55.3071422Z [2022-11-23 01:34:51,183] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5n/c5nwyaza5gei22mgziopzpufwppkcabf4swvzcphryfzwkhpni6y.py 2022-11-23T01:37:55.3071679Z [2022-11-23 01:34:51,184] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 355 2022-11-23T01:37:55.3071697Z 2022-11-23T01:37:55.3071778Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.3071847Z import torch 2022-11-23T01:37:55.3071915Z import random 2022-11-23T01:37:55.3072066Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.3072187Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.3072192Z 2022-11-23T01:37:55.3072271Z aten = torch.ops.aten 2022-11-23T01:37:55.3072405Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.3072484Z async_compile = AsyncCompile() 2022-11-23T01:37:55.3072491Z 2022-11-23T01:37:55.3072508Z 2022-11-23T01:37:55.3072633Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.3072840Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.3072961Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.3073061Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.3073124Z { 2022-11-23T01:37:55.3073203Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.3073266Z { 2022-11-23T01:37:55.3073392Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.3073525Z auto tmp1 = decltype(tmp0)(1)/(decltype(tmp0)(1) + tmp0.neg().exp()); 2022-11-23T01:37:55.3073607Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.3073697Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.3073757Z } 2022-11-23T01:37:55.3073846Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.3073926Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:37:55.3073975Z { 2022-11-23T01:37:55.3074054Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.3074187Z auto tmp1 = std::exp(-tmp0); 2022-11-23T01:37:55.3074270Z auto tmp2 = 1 / (1 + tmp1); 2022-11-23T01:37:55.3074348Z auto tmp3 = tmp0 * tmp2; 2022-11-23T01:37:55.3074424Z out_ptr0[i0] = tmp3; 2022-11-23T01:37:55.3074473Z } 2022-11-23T01:37:55.3074530Z } 2022-11-23T01:37:55.3074609Z ''') 2022-11-23T01:37:55.3074614Z 2022-11-23T01:37:55.3074618Z 2022-11-23T01:37:55.3074706Z async_compile.wait(globals()) 2022-11-23T01:37:55.3074776Z del async_compile 2022-11-23T01:37:55.3074784Z 2022-11-23T01:37:55.3074852Z def call(args): 2022-11-23T01:37:55.3074919Z arg0_1, = args 2022-11-23T01:37:55.3074991Z args.clear() 2022-11-23T01:37:55.3075175Z buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3075308Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.3075381Z del arg0_1 2022-11-23T01:37:55.3075450Z return (buf0, ) 2022-11-23T01:37:55.3075455Z 2022-11-23T01:37:55.3075459Z 2022-11-23T01:37:55.3075534Z if __name__ == "__main__": 2022-11-23T01:37:55.3075646Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.3075766Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.3075952Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3076060Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.3076064Z 2022-11-23T01:37:55.3076129Z ok (1.549s) 2022-11-23T01:37:55.3076449Z test_simplify_loops_cpu (__main__.CpuTests) ... [2022-11-23 01:34:51,193] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.3076724Z [2022-11-23 01:34:51,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.3076983Z [2022-11-23 01:34:51,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.3077247Z [2022-11-23 01:34:51,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.3077535Z [2022-11-23 01:34:51,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.3077863Z [2022-11-23 01:34:51,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.3078195Z [2022-11-23 01:34:51,193] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.3078313Z 1282 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.3078404Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.3078477Z 4 BINARY_ADD 2022-11-23T01:37:55.3078551Z 6 RETURN_VALUE 2022-11-23T01:37:55.3078611Z 2022-11-23T01:37:55.3078616Z 2022-11-23T01:37:55.3078890Z [2022-11-23 01:34:51,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1282 2022-11-23T01:37:55.3079106Z [2022-11-23 01:34:51,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.3079345Z [2022-11-23 01:34:51,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.3079609Z [2022-11-23 01:34:51,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3079859Z [2022-11-23 01:34:51,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.3080196Z [2022-11-23 01:34:51,195] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.3080444Z [2022-11-23 01:34:51,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.3080683Z [2022-11-23 01:34:51,195] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.3080942Z [2022-11-23 01:34:51,196] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.3081191Z [2022-11-23 01:34:51,199] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.3081383Z [2022-11-23 01:34:51,200] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.3081517Z __compiled_fn_363 .2995 opcode, name, target, args, kwargs 2022-11-23T01:37:55.3081597Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.3081681Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.3081862Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.3081958Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.3081963Z 2022-11-23T01:37:55.3082241Z [2022-11-23 01:34:51,200] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3082334Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.3082425Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3082516Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.3082594Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.3082667Z 8 RETURN_VALUE 2022-11-23T01:37:55.3082673Z 2022-11-23T01:37:55.3082732Z 2022-11-23T01:37:55.3083009Z [2022-11-23 01:34:51,200] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3083120Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_363) 2022-11-23T01:37:55.3083207Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3083294Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3083357Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.3083445Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3083563Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.3083638Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.3083726Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.3083815Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.3083890Z 18 RETURN_VALUE 2022-11-23T01:37:55.3083895Z 2022-11-23T01:37:55.3083942Z 2022-11-23T01:37:55.3084127Z [2022-11-23 01:34:51,201] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.3084197Z - 2022-11-23T01:37:55.3084320Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.3084433Z { 2022-11-23T01:37:55.3084578Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.3084768Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.3084877Z 'obj_weakref': None 2022-11-23T01:37:55.3085104Z 'guarded_class': 2022-11-23T01:37:55.3085171Z } 2022-11-23T01:37:55.3085234Z 2022-11-23T01:37:55.3085305Z - 2022-11-23T01:37:55.3085430Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.3085494Z { 2022-11-23T01:37:55.3085625Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.3085731Z 'code': None, 2022-11-23T01:37:55.3085948Z 'obj_weakref': 2022-11-23T01:37:55.3086204Z 'guarded_class': 2022-11-23T01:37:55.3086271Z } 2022-11-23T01:37:55.3086333Z 2022-11-23T01:37:55.3086406Z - 2022-11-23T01:37:55.3086518Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.3086582Z { 2022-11-23T01:37:55.3086727Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.3086836Z 'code': None, 2022-11-23T01:37:55.3087056Z 'obj_weakref': 2022-11-23T01:37:55.3087311Z 'guarded_class': 2022-11-23T01:37:55.3087376Z } 2022-11-23T01:37:55.3087439Z 2022-11-23T01:37:55.3087498Z - 2022-11-23T01:37:55.3087628Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.3087690Z { 2022-11-23T01:37:55.3087825Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.3087997Z 'code': ['___check_obj_id(model, 140539203667728)'], 2022-11-23T01:37:55.3088122Z 'obj_weakref': None 2022-11-23T01:37:55.3088353Z 'guarded_class': 2022-11-23T01:37:55.3088404Z } 2022-11-23T01:37:55.3088468Z 2022-11-23T01:37:55.3088537Z - 2022-11-23T01:37:55.3088659Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.3088723Z { 2022-11-23T01:37:55.3088861Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.3089069Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.3089189Z 'obj_weakref': None 2022-11-23T01:37:55.3089411Z 'guarded_class': 2022-11-23T01:37:55.3089475Z } 2022-11-23T01:37:55.3089536Z 2022-11-23T01:37:55.3089798Z [2022-11-23 01:34:51,207] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 356 2022-11-23T01:37:55.3090178Z [2022-11-23 01:34:52,747] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nf/cnfqjoosutyiffbzc346yovhq3l5axnlvpspume64xmypzrmop5m.py 2022-11-23T01:37:55.3090444Z [2022-11-23 01:34:52,748] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 356 2022-11-23T01:37:55.3090450Z 2022-11-23T01:37:55.3090575Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.3090634Z import torch 2022-11-23T01:37:55.3090702Z import random 2022-11-23T01:37:55.3090818Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.3090939Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.3090944Z 2022-11-23T01:37:55.3091022Z aten = torch.ops.aten 2022-11-23T01:37:55.3091154Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.3091244Z async_compile = AsyncCompile() 2022-11-23T01:37:55.3091250Z 2022-11-23T01:37:55.3091255Z 2022-11-23T01:37:55.3091413Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.3091619Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.3091738Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.3091841Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.3091941Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.3092001Z { 2022-11-23T01:37:55.3092078Z #pragma GCC ivdep 2022-11-23T01:37:55.3092160Z for(long i0=0; i0<6; i0+=1) 2022-11-23T01:37:55.3092208Z { 2022-11-23T01:37:55.3092285Z #pragma GCC ivdep 2022-11-23T01:37:55.3092366Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:37:55.3092427Z { 2022-11-23T01:37:55.3092506Z for(long i2=0; i2<3; i2+=1) 2022-11-23T01:37:55.3092568Z { 2022-11-23T01:37:55.3092710Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i2) + (30*i1) + (120*i0)); 2022-11-23T01:37:55.3092854Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + (8*i2) + (30*i0) + (180*i1)); 2022-11-23T01:37:55.3092942Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3093051Z tmp2.store(out_ptr0 + (8*i2) + (30*i1) + (120*i0)); 2022-11-23T01:37:55.3093115Z } 2022-11-23T01:37:55.3093206Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.3093295Z for(long i2=24; i2<30; i2+=1) 2022-11-23T01:37:55.3093360Z { 2022-11-23T01:37:55.3093450Z auto tmp0 = in_ptr0[i2 + (30*i1) + (120*i0)]; 2022-11-23T01:37:55.3093551Z auto tmp1 = in_ptr1[i2 + (30*i0) + (180*i1)]; 2022-11-23T01:37:55.3093635Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3093735Z out_ptr0[i2 + (30*i1) + (120*i0)] = tmp2; 2022-11-23T01:37:55.3093797Z } 2022-11-23T01:37:55.3093858Z } 2022-11-23T01:37:55.3093919Z } 2022-11-23T01:37:55.3093965Z } 2022-11-23T01:37:55.3094046Z ''') 2022-11-23T01:37:55.3094054Z 2022-11-23T01:37:55.3094058Z 2022-11-23T01:37:55.3094145Z async_compile.wait(globals()) 2022-11-23T01:37:55.3094216Z del async_compile 2022-11-23T01:37:55.3094221Z 2022-11-23T01:37:55.3094289Z def call(args): 2022-11-23T01:37:55.3094366Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.3094438Z args.clear() 2022-11-23T01:37:55.3094653Z buf0 = empty_strided((2, 3, 4, 5, 6), (360, 120, 30, 6, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3094816Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.3094883Z del arg0_1 2022-11-23T01:37:55.3094949Z del arg1_1 2022-11-23T01:37:55.3095018Z return (buf0, ) 2022-11-23T01:37:55.3095023Z 2022-11-23T01:37:55.3095027Z 2022-11-23T01:37:55.3095100Z if __name__ == "__main__": 2022-11-23T01:37:55.3095213Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.3095336Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.3095551Z arg0_1 = rand_strided((2, 3, 4, 5, 6), (360, 120, 30, 6, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3095771Z arg1_1 = rand_strided((2, 3, 4, 5, 6), (90, 30, 180, 6, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3095886Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.3095892Z 2022-11-23T01:37:55.3095956Z ok (1.564s) 2022-11-23T01:37:55.3096291Z test_sin_cpu (__main__.CpuTests) ... [2022-11-23 01:34:52,755] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.3096568Z [2022-11-23 01:34:52,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.3096789Z [2022-11-23 01:34:52,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.3097044Z [2022-11-23 01:34:52,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.3097333Z [2022-11-23 01:34:52,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.3097681Z [2022-11-23 01:34:52,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.3098016Z [2022-11-23 01:34:52,755] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.3098112Z 2144 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.3098202Z 2 LOAD_METHOD 1 (sin) 2022-11-23T01:37:55.3098291Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:55.3098377Z 6 CALL_METHOD 1 2022-11-23T01:37:55.3098466Z 8 LOAD_CONST 1 (2) 2022-11-23T01:37:55.3098540Z 10 BINARY_ADD 2022-11-23T01:37:55.3098621Z 12 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.3098713Z 14 LOAD_METHOD 1 (sin) 2022-11-23T01:37:55.3098970Z 16 LOAD_FAST 0 (x) 2022-11-23T01:37:55.3099105Z 18 LOAD_CONST 2 (1) 2022-11-23T01:37:55.3099226Z 20 BINARY_ADD 2022-11-23T01:37:55.3099323Z 22 CALL_METHOD 1 2022-11-23T01:37:55.3099418Z 24 BUILD_TUPLE 2 2022-11-23T01:37:55.3099482Z 26 RETURN_VALUE 2022-11-23T01:37:55.3099542Z 2022-11-23T01:37:55.3099547Z 2022-11-23T01:37:55.3099832Z [2022-11-23 01:34:52,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2144 2022-11-23T01:37:55.3100052Z [2022-11-23 01:34:52,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.3100364Z [2022-11-23 01:34:52,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sin [TorchVariable()] 2022-11-23T01:37:55.3100623Z [2022-11-23 01:34:52,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.sin)] 2022-11-23T01:37:55.3100913Z [2022-11-23 01:34:52,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.sin), TensorVariable()] 2022-11-23T01:37:55.3101160Z [2022-11-23 01:34:52,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:37:55.3101449Z [2022-11-23 01:34:52,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3101687Z [2022-11-23 01:34:52,764] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:55.3102024Z [2022-11-23 01:34:52,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sin [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.3102301Z [2022-11-23 01:34:52,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.sin)] 2022-11-23T01:37:55.3102614Z [2022-11-23 01:34:52,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.sin), TensorVariable()] 2022-11-23T01:37:55.3102967Z [2022-11-23 01:34:52,770] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.sin), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3103353Z [2022-11-23 01:34:52,771] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.sin), TensorVariable()] 2022-11-23T01:37:55.3103629Z [2022-11-23 01:34:52,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3103879Z [2022-11-23 01:34:52,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.3104214Z [2022-11-23 01:34:52,772] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.3104504Z [2022-11-23 01:34:52,772] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.3104746Z [2022-11-23 01:34:52,772] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.3104992Z [2022-11-23 01:34:52,773] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.3105248Z [2022-11-23 01:34:52,778] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.3105441Z [2022-11-23 01:34:52,778] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.3105578Z __compiled_fn_364 .3001 opcode, name, target, args, kwargs 2022-11-23T01:37:55.3105671Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.3105772Z call_function, sin, aten.sin, (ex_0_,), {} 2022-11-23T01:37:55.3105948Z call_function, add, , (sin, 2), {} 2022-11-23T01:37:55.3106131Z call_function, add_1, , (ex_0_, 1), {} 2022-11-23T01:37:55.3106221Z call_function, sin_1, aten.sin, (add_1,), {} 2022-11-23T01:37:55.3106325Z output, output, output, ((add, sin_1),), {} 2022-11-23T01:37:55.3106330Z 2022-11-23T01:37:55.3106616Z [2022-11-23 01:34:52,778] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3106712Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.3106806Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3106900Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.3106990Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.3107054Z 8 RETURN_VALUE 2022-11-23T01:37:55.3107073Z 2022-11-23T01:37:55.3107121Z 2022-11-23T01:37:55.3107398Z [2022-11-23 01:34:52,779] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3107513Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_364) 2022-11-23T01:37:55.3107605Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3107697Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3107775Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.3107865Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.3107957Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3108061Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3108223Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3108309Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.3108413Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3108502Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.3108581Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.3108657Z 24 BUILD_TUPLE 2 2022-11-23T01:37:55.3108735Z 26 RETURN_VALUE 2022-11-23T01:37:55.3108744Z 2022-11-23T01:37:55.3108805Z 2022-11-23T01:37:55.3108998Z [2022-11-23 01:34:52,779] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.3109072Z - 2022-11-23T01:37:55.3109193Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.3109257Z { 2022-11-23T01:37:55.3109387Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.3109615Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.3109742Z 'obj_weakref': None 2022-11-23T01:37:55.3109971Z 'guarded_class': 2022-11-23T01:37:55.3110038Z } 2022-11-23T01:37:55.3110101Z 2022-11-23T01:37:55.3110172Z - 2022-11-23T01:37:55.3110284Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.3110348Z { 2022-11-23T01:37:55.3110494Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.3110605Z 'code': None, 2022-11-23T01:37:55.3110853Z 'obj_weakref': 2022-11-23T01:37:55.3111112Z 'guarded_class': 2022-11-23T01:37:55.3111176Z } 2022-11-23T01:37:55.3111226Z 2022-11-23T01:37:55.3111295Z - 2022-11-23T01:37:55.3111431Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.3111493Z { 2022-11-23T01:37:55.3111630Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.3111804Z 'code': ['___check_obj_id(model, 140538747178880)'], 2022-11-23T01:37:55.3111925Z 'obj_weakref': None 2022-11-23T01:37:55.3112144Z 'guarded_class': 2022-11-23T01:37:55.3112207Z } 2022-11-23T01:37:55.3112269Z 2022-11-23T01:37:55.3112337Z - 2022-11-23T01:37:55.3112465Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.3112527Z { 2022-11-23T01:37:55.3112664Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.3112869Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.3112990Z 'obj_weakref': None 2022-11-23T01:37:55.3113215Z 'guarded_class': 2022-11-23T01:37:55.3113278Z } 2022-11-23T01:37:55.3113338Z 2022-11-23T01:37:55.3113408Z - 2022-11-23T01:37:55.3113538Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.3113589Z { 2022-11-23T01:37:55.3113708Z 'guard_types': None, 2022-11-23T01:37:55.3113815Z 'code': None, 2022-11-23T01:37:55.3113936Z 'obj_weakref': None 2022-11-23T01:37:55.3114058Z 'guarded_class': None 2022-11-23T01:37:55.3114123Z } 2022-11-23T01:37:55.3114186Z 2022-11-23T01:37:55.3114435Z [2022-11-23 01:34:52,787] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 357 2022-11-23T01:37:55.3114806Z [2022-11-23 01:34:54,166] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/o7/co7kjo44konnxqslaljvvhh4euhsw7xv6g7dn6forstk4tpjsqus.py 2022-11-23T01:37:55.3115074Z [2022-11-23 01:34:54,166] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 357 2022-11-23T01:37:55.3115080Z 2022-11-23T01:37:55.3115174Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.3115241Z import torch 2022-11-23T01:37:55.3115309Z import random 2022-11-23T01:37:55.3115423Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.3115542Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.3115547Z 2022-11-23T01:37:55.3115611Z aten = torch.ops.aten 2022-11-23T01:37:55.3115746Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.3115839Z async_compile = AsyncCompile() 2022-11-23T01:37:55.3115844Z 2022-11-23T01:37:55.3115849Z 2022-11-23T01:37:55.3115985Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.3116193Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.3116310Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.3116440Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.3116539Z float* __restrict__ out_ptr1) 2022-11-23T01:37:55.3116587Z { 2022-11-23T01:37:55.3116668Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:37:55.3116728Z { 2022-11-23T01:37:55.3116871Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.3116952Z auto tmp1 = tmp0.sin(); 2022-11-23T01:37:55.3117083Z auto tmp2 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:37:55.3117166Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:37:55.3117346Z auto tmp4 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:55.3117426Z auto tmp5 = tmp0 + tmp4; 2022-11-23T01:37:55.3117506Z auto tmp6 = tmp5.sin(); 2022-11-23T01:37:55.3117595Z tmp3.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.3117681Z tmp6.store(out_ptr1 + 8*i0); 2022-11-23T01:37:55.3117742Z } 2022-11-23T01:37:55.3117831Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.3117900Z for(long i0=256; i0<256; i0+=1) 2022-11-23T01:37:55.3117959Z { 2022-11-23T01:37:55.3118042Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.3118135Z auto tmp1 = std::sin(tmp0); 2022-11-23T01:37:55.3118231Z auto tmp2 = static_cast(2); 2022-11-23T01:37:55.3118311Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:37:55.3118407Z auto tmp4 = static_cast(1); 2022-11-23T01:37:55.3118475Z auto tmp5 = tmp0 + tmp4; 2022-11-23T01:37:55.3118563Z auto tmp6 = std::sin(tmp5); 2022-11-23T01:37:55.3118642Z out_ptr0[i0] = tmp3; 2022-11-23T01:37:55.3118721Z out_ptr1[i0] = tmp6; 2022-11-23T01:37:55.3118781Z } 2022-11-23T01:37:55.3118842Z } 2022-11-23T01:37:55.3118923Z ''') 2022-11-23T01:37:55.3118928Z 2022-11-23T01:37:55.3118932Z 2022-11-23T01:37:55.3119008Z async_compile.wait(globals()) 2022-11-23T01:37:55.3119080Z del async_compile 2022-11-23T01:37:55.3119085Z 2022-11-23T01:37:55.3119155Z def call(args): 2022-11-23T01:37:55.3119224Z arg0_1, = args 2022-11-23T01:37:55.3119296Z args.clear() 2022-11-23T01:37:55.3119502Z buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3119703Z buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3119864Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:55.3119922Z del arg0_1 2022-11-23T01:37:55.3119996Z return (buf0, buf1, ) 2022-11-23T01:37:55.3120001Z 2022-11-23T01:37:55.3120005Z 2022-11-23T01:37:55.3120081Z if __name__ == "__main__": 2022-11-23T01:37:55.3120191Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.3120311Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.3120512Z arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3120620Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.3120627Z 2022-11-23T01:37:55.3120693Z ok (1.419s) 2022-11-23T01:37:55.3121002Z test_sizehint_issue1_cpu (__main__.CpuTests) ... [2022-11-23 01:34:54,177] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.3121276Z [2022-11-23 01:34:54,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.3121496Z [2022-11-23 01:34:54,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.3121754Z [2022-11-23 01:34:54,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.3122045Z [2022-11-23 01:34:54,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.3122369Z [2022-11-23 01:34:54,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.3122741Z [2022-11-23 01:34:54,177] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.3122840Z 4499 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.3122931Z 2 LOAD_ATTR 1 (nn) 2022-11-23T01:37:55.3123021Z 4 LOAD_ATTR 2 (functional) 2022-11-23T01:37:55.3123112Z 6 LOAD_ATTR 3 (unfold) 2022-11-23T01:37:55.3123117Z 2022-11-23T01:37:55.3123204Z 4500 8 LOAD_FAST 0 (x) 2022-11-23T01:37:55.3123326Z 10 LOAD_CONST 1 (4) 2022-11-23T01:37:55.3123416Z 12 LOAD_CONST 1 (4) 2022-11-23T01:37:55.3123503Z 14 BUILD_LIST 2 2022-11-23T01:37:55.3123588Z 16 LOAD_CONST 2 (1) 2022-11-23T01:37:55.3123661Z 18 LOAD_CONST 3 (0) 2022-11-23T01:37:55.3123749Z 20 LOAD_CONST 1 (4) 2022-11-23T01:37:55.3123833Z 22 LOAD_CONST 1 (4) 2022-11-23T01:37:55.3123920Z 24 BUILD_LIST 2 2022-11-23T01:37:55.3124133Z 26 LOAD_CONST 4 (('kernel_size', 'dilation', 'padding', 'stride')) 2022-11-23T01:37:55.3124224Z 28 CALL_FUNCTION_KW 5 2022-11-23T01:37:55.3124299Z 30 RETURN_VALUE 2022-11-23T01:37:55.3124358Z 2022-11-23T01:37:55.3124365Z 2022-11-23T01:37:55.3124625Z [2022-11-23 01:34:54,177] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4499 2022-11-23T01:37:55.3124851Z [2022-11-23 01:34:54,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.3125216Z [2022-11-23 01:34:54,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR nn [TorchVariable()] 2022-11-23T01:37:55.3125602Z [2022-11-23 01:34:54,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR functional [TorchVariable()] 2022-11-23T01:37:55.3126004Z [2022-11-23 01:34:54,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unfold [TorchVariable()] 2022-11-23T01:37:55.3126270Z [2022-11-23 01:34:54,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4500 2022-11-23T01:37:55.3126561Z [2022-11-23 01:34:54,178] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:37:55.3126881Z [2022-11-23 01:34:54,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.3127236Z [2022-11-23 01:34:54,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3127624Z [2022-11-23 01:34:54,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.3127966Z [2022-11-23 01:34:54,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.3128343Z [2022-11-23 01:34:54,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3128748Z [2022-11-23 01:34:54,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.3129231Z [2022-11-23 01:34:54,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TorchVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.3129722Z [2022-11-23 01:34:54,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.3130231Z [2022-11-23 01:34:54,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('kernel_size', 'dilation', 'padding', 'stride') [TorchVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ListVariable()] 2022-11-23T01:37:55.3130776Z [2022-11-23 01:34:54,179] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 5 [TorchVariable(), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:37:55.3131029Z [2022-11-23 01:34:54,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.3131369Z [2022-11-23 01:34:54,189] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.3131620Z [2022-11-23 01:34:54,189] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.3131862Z [2022-11-23 01:34:54,189] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.3132121Z [2022-11-23 01:34:54,190] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.3132374Z [2022-11-23 01:34:54,200] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.3132568Z [2022-11-23 01:34:54,200] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.3132690Z __compiled_fn_365 .3007 opcode, name, target, args, kwargs 2022-11-23T01:37:55.3132778Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.3133069Z call_function, unfold, , (ex_0_,), {'kernel_size': [4, 4], 'dilation': 1, 'padding': 0, 'stride': [4, 4]} 2022-11-23T01:37:55.3133169Z output, output, output, ((unfold,),), {} 2022-11-23T01:37:55.3133175Z 2022-11-23T01:37:55.3133453Z [2022-11-23 01:34:54,200] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3133549Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.3133640Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3133732Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.3133810Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.3133888Z 8 RETURN_VALUE 2022-11-23T01:37:55.3133893Z 2022-11-23T01:37:55.3133954Z 2022-11-23T01:37:55.3134231Z [2022-11-23 01:34:54,200] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3134339Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_365) 2022-11-23T01:37:55.3134427Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3134516Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3134593Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.3134670Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.3134762Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.3134837Z 12 RETURN_VALUE 2022-11-23T01:37:55.3134842Z 2022-11-23T01:37:55.3134903Z 2022-11-23T01:37:55.3135089Z [2022-11-23 01:34:54,201] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.3135162Z - 2022-11-23T01:37:55.3135283Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.3135367Z { 2022-11-23T01:37:55.3135513Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.3135704Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.3135827Z 'obj_weakref': None 2022-11-23T01:37:55.3136054Z 'guarded_class': 2022-11-23T01:37:55.3136119Z } 2022-11-23T01:37:55.3136182Z 2022-11-23T01:37:55.3136241Z - 2022-11-23T01:37:55.3136369Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.3136466Z { 2022-11-23T01:37:55.3136612Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.3136722Z 'code': None, 2022-11-23T01:37:55.3136938Z 'obj_weakref': 2022-11-23T01:37:55.3137196Z 'guarded_class': 2022-11-23T01:37:55.3137249Z } 2022-11-23T01:37:55.3137312Z 2022-11-23T01:37:55.3137383Z - 2022-11-23T01:37:55.3137513Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.3137575Z { 2022-11-23T01:37:55.3137711Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.3137885Z 'code': ['___check_obj_id(model, 140538744282864)'], 2022-11-23T01:37:55.3137995Z 'obj_weakref': None 2022-11-23T01:37:55.3138227Z 'guarded_class': 2022-11-23T01:37:55.3138293Z } 2022-11-23T01:37:55.3138355Z 2022-11-23T01:37:55.3138425Z - 2022-11-23T01:37:55.3138550Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.3138611Z { 2022-11-23T01:37:55.3138862Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.3139184Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.3139314Z 'obj_weakref': None 2022-11-23T01:37:55.3139540Z 'guarded_class': 2022-11-23T01:37:55.3139603Z } 2022-11-23T01:37:55.3139665Z 2022-11-23T01:37:55.3139736Z - 2022-11-23T01:37:55.3139859Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.3139922Z { 2022-11-23T01:37:55.3140043Z 'guard_types': None, 2022-11-23T01:37:55.3140152Z 'code': None, 2022-11-23T01:37:55.3140273Z 'obj_weakref': None 2022-11-23T01:37:55.3140402Z 'guarded_class': None 2022-11-23T01:37:55.3140466Z } 2022-11-23T01:37:55.3140515Z 2022-11-23T01:37:55.3140780Z [2022-11-23 01:34:54,223] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 358 2022-11-23T01:37:55.3141162Z [2022-11-23 01:34:55,871] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tv/ctvmniox6ua2ydczalpbgkrtcxnerw4v5jqhclka72agogn64xat.py 2022-11-23T01:37:55.3141430Z [2022-11-23 01:34:55,871] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 358 2022-11-23T01:37:55.3141436Z 2022-11-23T01:37:55.3141530Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.3141599Z import torch 2022-11-23T01:37:55.3141666Z import random 2022-11-23T01:37:55.3141779Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.3141886Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.3141892Z 2022-11-23T01:37:55.3141973Z aten = torch.ops.aten 2022-11-23T01:37:55.3142106Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.3142195Z async_compile = AsyncCompile() 2022-11-23T01:37:55.3142201Z 2022-11-23T01:37:55.3142205Z 2022-11-23T01:37:55.3142341Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.3142611Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.3142735Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.3142834Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.3142882Z { 2022-11-23T01:37:55.3142959Z #pragma GCC ivdep 2022-11-23T01:37:55.3143040Z for(long i0=0; i0<48; i0+=1) 2022-11-23T01:37:55.3143100Z { 2022-11-23T01:37:55.3143178Z #pragma GCC ivdep 2022-11-23T01:37:55.3143260Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:37:55.3143323Z { 2022-11-23T01:37:55.3143388Z #pragma GCC ivdep 2022-11-23T01:37:55.3143510Z for(long i2=0; i2<4; i2+=1) 2022-11-23T01:37:55.3143577Z { 2022-11-23T01:37:55.3143659Z #pragma GCC ivdep 2022-11-23T01:37:55.3143750Z for(long i3=0; i3<14; i3+=1) 2022-11-23T01:37:55.3143816Z { 2022-11-23T01:37:55.3143886Z #pragma GCC ivdep 2022-11-23T01:37:55.3143982Z for(long i4=0; i4<14; i4+=1) 2022-11-23T01:37:55.3144048Z { 2022-11-23T01:37:55.3144116Z { 2022-11-23T01:37:55.3144188Z { 2022-11-23T01:37:55.3144301Z auto tmp0 = static_cast(4*i3); 2022-11-23T01:37:55.3144411Z auto tmp1 = static_cast(i1); 2022-11-23T01:37:55.3144498Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3144611Z auto tmp3 = static_cast(4*i4); 2022-11-23T01:37:55.3144721Z auto tmp4 = static_cast(i2); 2022-11-23T01:37:55.3144822Z auto tmp5 = tmp3 + tmp4; 2022-11-23T01:37:55.3144945Z auto tmp6 = in_ptr0[tmp5 + (56*tmp2) + (3136*i0)]; 2022-11-23T01:37:55.3145065Z out_ptr0[i4 + (14*i3) + (196*i2) + (784*i1) + (3136*i0)] = tmp6; 2022-11-23T01:37:55.3145137Z } 2022-11-23T01:37:55.3145207Z } 2022-11-23T01:37:55.3145261Z } 2022-11-23T01:37:55.3145327Z } 2022-11-23T01:37:55.3145392Z } 2022-11-23T01:37:55.3145456Z } 2022-11-23T01:37:55.3145519Z } 2022-11-23T01:37:55.3145581Z } 2022-11-23T01:37:55.3145650Z ''') 2022-11-23T01:37:55.3145669Z 2022-11-23T01:37:55.3145673Z 2022-11-23T01:37:55.3145750Z async_compile.wait(globals()) 2022-11-23T01:37:55.3145823Z del async_compile 2022-11-23T01:37:55.3145828Z 2022-11-23T01:37:55.3145900Z def call(args): 2022-11-23T01:37:55.3145973Z arg0_1, = args 2022-11-23T01:37:55.3146046Z args.clear() 2022-11-23T01:37:55.3146293Z buf0 = empty_strided((2, 24, 4, 4, 14, 14), (75264, 3136, 784, 196, 14, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3146428Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.3146483Z del arg0_1 2022-11-23T01:37:55.3146593Z return (as_strided(buf0, (2, 384, 196), (75264, 196, 1)), ) 2022-11-23T01:37:55.3146598Z 2022-11-23T01:37:55.3146602Z 2022-11-23T01:37:55.3146679Z if __name__ == "__main__": 2022-11-23T01:37:55.3146811Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.3147004Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.3147258Z arg0_1 = rand_strided((2, 24, 56, 56), (75264, 3136, 56, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3147370Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.3147376Z 2022-11-23T01:37:55.3147445Z ok (1.710s) 2022-11-23T01:37:55.3147758Z test_slice1_cpu (__main__.CpuTests) ... [2022-11-23 01:34:55,884] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.3148019Z [2022-11-23 01:34:55,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.3148363Z [2022-11-23 01:34:55,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.3148628Z [2022-11-23 01:34:55,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.3148922Z [2022-11-23 01:34:55,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.3149251Z [2022-11-23 01:34:55,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.3149582Z [2022-11-23 01:34:55,885] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.3149718Z 1675 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.3149812Z 2 LOAD_CONST 0 (None) 2022-11-23T01:37:55.3149900Z 4 LOAD_CONST 0 (None) 2022-11-23T01:37:55.3149975Z 6 BUILD_SLICE 2 2022-11-23T01:37:55.3150068Z 8 LOAD_CONST 0 (None) 2022-11-23T01:37:55.3150158Z 10 LOAD_CONST 1 (10) 2022-11-23T01:37:55.3150249Z 12 BUILD_SLICE 2 2022-11-23T01:37:55.3150339Z 14 LOAD_CONST 2 (0) 2022-11-23T01:37:55.3150426Z 16 BUILD_TUPLE 3 2022-11-23T01:37:55.3150504Z 18 BINARY_SUBSCR 2022-11-23T01:37:55.3150578Z 20 LOAD_FAST 0 (a) 2022-11-23T01:37:55.3150672Z 22 LOAD_CONST 0 (None) 2022-11-23T01:37:55.3150758Z 24 LOAD_CONST 0 (None) 2022-11-23T01:37:55.3150845Z 26 BUILD_SLICE 2 2022-11-23T01:37:55.3150932Z 28 LOAD_CONST 1 (10) 2022-11-23T01:37:55.3151020Z 30 LOAD_CONST 0 (None) 2022-11-23T01:37:55.3151105Z 32 BUILD_SLICE 2 2022-11-23T01:37:55.3151182Z 34 LOAD_CONST 2 (0) 2022-11-23T01:37:55.3151267Z 36 BUILD_TUPLE 3 2022-11-23T01:37:55.3151345Z 38 BINARY_SUBSCR 2022-11-23T01:37:55.3151416Z 40 BINARY_ADD 2022-11-23T01:37:55.3151423Z 2022-11-23T01:37:55.3151508Z 1676 42 LOAD_FAST 0 (a) 2022-11-23T01:37:55.3151596Z 44 LOAD_CONST 3 (1) 2022-11-23T01:37:55.3151667Z 46 BINARY_ADD 2022-11-23T01:37:55.3151745Z 48 LOAD_CONST 0 (None) 2022-11-23T01:37:55.3151830Z 50 LOAD_CONST 0 (None) 2022-11-23T01:37:55.3151918Z 52 BUILD_SLICE 2 2022-11-23T01:37:55.3152008Z 54 LOAD_CONST 0 (None) 2022-11-23T01:37:55.3152095Z 56 LOAD_CONST 1 (10) 2022-11-23T01:37:55.3152180Z 58 BUILD_SLICE 2 2022-11-23T01:37:55.3152268Z 60 LOAD_CONST 2 (0) 2022-11-23T01:37:55.3152344Z 62 BUILD_TUPLE 3 2022-11-23T01:37:55.3152422Z 64 BINARY_SUBSCR 2022-11-23T01:37:55.3152507Z 66 LOAD_FAST 0 (a) 2022-11-23T01:37:55.3152597Z 68 LOAD_CONST 3 (1) 2022-11-23T01:37:55.3152671Z 70 BINARY_ADD 2022-11-23T01:37:55.3152759Z 72 LOAD_CONST 0 (None) 2022-11-23T01:37:55.3152846Z 74 LOAD_CONST 0 (None) 2022-11-23T01:37:55.3152919Z 76 BUILD_SLICE 2 2022-11-23T01:37:55.3153007Z 78 LOAD_CONST 1 (10) 2022-11-23T01:37:55.3153094Z 80 LOAD_CONST 0 (None) 2022-11-23T01:37:55.3153179Z 82 BUILD_SLICE 2 2022-11-23T01:37:55.3153266Z 84 LOAD_CONST 2 (0) 2022-11-23T01:37:55.3153350Z 86 BUILD_TUPLE 3 2022-11-23T01:37:55.3153428Z 88 BINARY_SUBSCR 2022-11-23T01:37:55.3153527Z 90 BINARY_ADD 2022-11-23T01:37:55.3153602Z 92 BUILD_TUPLE 2 2022-11-23T01:37:55.3153675Z 94 RETURN_VALUE 2022-11-23T01:37:55.3153738Z 2022-11-23T01:37:55.3153743Z 2022-11-23T01:37:55.3154020Z [2022-11-23 01:34:55,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1675 2022-11-23T01:37:55.3154236Z [2022-11-23 01:34:55,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.3154484Z [2022-11-23 01:34:55,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable()] 2022-11-23T01:37:55.3154808Z [2022-11-23 01:34:55,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:55.3155144Z [2022-11-23 01:34:55,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)] 2022-11-23T01:37:55.3155405Z [2022-11-23 01:34:55,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), SliceVariable()] 2022-11-23T01:37:55.3155718Z [2022-11-23 01:34:55,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), SliceVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:55.3156066Z [2022-11-23 01:34:55,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(int)] 2022-11-23T01:37:55.3156355Z [2022-11-23 01:34:55,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), SliceVariable(), SliceVariable()] 2022-11-23T01:37:55.3156690Z [2022-11-23 01:34:55,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3156967Z [2022-11-23 01:34:55,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.3157211Z [2022-11-23 01:34:55,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()] 2022-11-23T01:37:55.3157482Z [2022-11-23 01:34:55,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3157799Z [2022-11-23 01:34:55,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:55.3158162Z [2022-11-23 01:34:55,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)] 2022-11-23T01:37:55.3158458Z [2022-11-23 01:34:55,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TensorVariable(), SliceVariable()] 2022-11-23T01:37:55.3158782Z [2022-11-23 01:34:55,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3159158Z [2022-11-23 01:34:55,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType)] 2022-11-23T01:37:55.3159476Z [2022-11-23 01:34:55,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()] 2022-11-23T01:37:55.3159831Z [2022-11-23 01:34:55,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3160140Z [2022-11-23 01:34:55,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.3160413Z [2022-11-23 01:34:55,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3160714Z [2022-11-23 01:34:55,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1676 2022-11-23T01:37:55.3160956Z [2022-11-23 01:34:55,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()] 2022-11-23T01:37:55.3161225Z [2022-11-23 01:34:55,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3161534Z [2022-11-23 01:34:55,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3161805Z [2022-11-23 01:34:55,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3162152Z [2022-11-23 01:34:55,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:55.3162520Z [2022-11-23 01:34:55,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)] 2022-11-23T01:37:55.3162819Z [2022-11-23 01:34:55,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), SliceVariable()] 2022-11-23T01:37:55.3163161Z [2022-11-23 01:34:55,893] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:55.3163538Z [2022-11-23 01:34:55,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(int)] 2022-11-23T01:37:55.3163860Z [2022-11-23 01:34:55,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()] 2022-11-23T01:37:55.3164217Z [2022-11-23 01:34:55,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3164525Z [2022-11-23 01:34:55,894] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.3164792Z [2022-11-23 01:34:55,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3165084Z [2022-11-23 01:34:55,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3165422Z [2022-11-23 01:34:55,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3165723Z [2022-11-23 01:34:55,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3166059Z [2022-11-23 01:34:55,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:55.3166448Z [2022-11-23 01:34:55,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)] 2022-11-23T01:37:55.3166768Z [2022-11-23 01:34:55,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable()] 2022-11-23T01:37:55.3167129Z [2022-11-23 01:34:55,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3167537Z [2022-11-23 01:34:55,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType)] 2022-11-23T01:37:55.3167913Z [2022-11-23 01:34:55,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()] 2022-11-23T01:37:55.3168302Z [2022-11-23 01:34:55,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3168637Z [2022-11-23 01:34:55,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.3168934Z [2022-11-23 01:34:55,898] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3169241Z [2022-11-23 01:34:55,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3169493Z [2022-11-23 01:34:55,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.3169826Z [2022-11-23 01:34:55,899] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.3170060Z [2022-11-23 01:34:55,899] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.3170298Z [2022-11-23 01:34:55,899] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.3170556Z [2022-11-23 01:34:55,901] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.3170808Z [2022-11-23 01:34:55,910] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.3171003Z [2022-11-23 01:34:55,910] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.3171137Z __compiled_fn_366 .3013 opcode, name, target, args, kwargs 2022-11-23T01:37:55.3171227Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.3171495Z call_function, getitem, , (ex_0_, (slice(None, None, None), slice(None, 10, None), 0)), {} 2022-11-23T01:37:55.3171747Z call_function, getitem_1, , (ex_0_, (slice(None, None, None), slice(10, None, None), 0)), {} 2022-11-23T01:37:55.3171944Z call_function, add, , (getitem, getitem_1), {} 2022-11-23T01:37:55.3172118Z call_function, add_1, , (ex_0_, 1), {} 2022-11-23T01:37:55.3172384Z call_function, getitem_2, , (add_1, (slice(None, None, None), slice(None, 10, None), 0)), {} 2022-11-23T01:37:55.3172562Z call_function, add_2, , (ex_0_, 1), {} 2022-11-23T01:37:55.3172831Z call_function, getitem_3, , (add_2, (slice(None, None, None), slice(10, None, None), 0)), {} 2022-11-23T01:37:55.3173031Z call_function, add_3, , (getitem_2, getitem_3), {} 2022-11-23T01:37:55.3173136Z output, output, output, ((add, add_3),), {} 2022-11-23T01:37:55.3173143Z 2022-11-23T01:37:55.3173427Z [2022-11-23 01:34:55,911] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3173509Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.3173599Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3173690Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.3173780Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.3173855Z 8 RETURN_VALUE 2022-11-23T01:37:55.3173861Z 2022-11-23T01:37:55.3173919Z 2022-11-23T01:37:55.3174196Z [2022-11-23 01:34:55,911] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3174308Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_366) 2022-11-23T01:37:55.3174386Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3174477Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3174553Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.3174669Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.3174774Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3174875Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3174963Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3175027Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.3175126Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3175213Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.3175287Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.3175415Z 24 BUILD_TUPLE 2 2022-11-23T01:37:55.3175490Z 26 RETURN_VALUE 2022-11-23T01:37:55.3175495Z 2022-11-23T01:37:55.3175553Z 2022-11-23T01:37:55.3175729Z [2022-11-23 01:34:55,912] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.3175799Z - 2022-11-23T01:37:55.3175920Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.3175984Z { 2022-11-23T01:37:55.3176129Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.3176320Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.3176443Z 'obj_weakref': None 2022-11-23T01:37:55.3176659Z 'guarded_class': 2022-11-23T01:37:55.3176722Z } 2022-11-23T01:37:55.3176783Z 2022-11-23T01:37:55.3176855Z - 2022-11-23T01:37:55.3176981Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.3177044Z { 2022-11-23T01:37:55.3177191Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.3177288Z 'code': None, 2022-11-23T01:37:55.3177503Z 'obj_weakref': 2022-11-23T01:37:55.3177759Z 'guarded_class': 2022-11-23T01:37:55.3177825Z } 2022-11-23T01:37:55.3177886Z 2022-11-23T01:37:55.3177955Z - 2022-11-23T01:37:55.3178090Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.3178141Z { 2022-11-23T01:37:55.3178276Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.3178449Z 'code': ['___check_obj_id(model, 140539205264160)'], 2022-11-23T01:37:55.3178571Z 'obj_weakref': None 2022-11-23T01:37:55.3178995Z 'guarded_class': 2022-11-23T01:37:55.3179093Z } 2022-11-23T01:37:55.3179193Z 2022-11-23T01:37:55.3179272Z - 2022-11-23T01:37:55.3179402Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.3179465Z { 2022-11-23T01:37:55.3179604Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.3179826Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.3179954Z 'obj_weakref': None 2022-11-23T01:37:55.3180182Z 'guarded_class': 2022-11-23T01:37:55.3180233Z } 2022-11-23T01:37:55.3180296Z 2022-11-23T01:37:55.3180560Z [2022-11-23 01:34:55,930] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 359 2022-11-23T01:37:55.3180931Z [2022-11-23 01:34:57,479] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4p/c4pwnvui7kivwule62iizk6qoa7c5xfq5mhawxfnxumlad76ng4o.py 2022-11-23T01:37:55.3181203Z [2022-11-23 01:34:57,480] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 359 2022-11-23T01:37:55.3181209Z 2022-11-23T01:37:55.3181302Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.3181372Z import torch 2022-11-23T01:37:55.3181441Z import random 2022-11-23T01:37:55.3181543Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.3181727Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.3181734Z 2022-11-23T01:37:55.3181816Z aten = torch.ops.aten 2022-11-23T01:37:55.3181951Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.3182044Z async_compile = AsyncCompile() 2022-11-23T01:37:55.3182049Z 2022-11-23T01:37:55.3182053Z 2022-11-23T01:37:55.3182189Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.3182395Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.3182516Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.3182644Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.3182739Z float* __restrict__ out_ptr1) 2022-11-23T01:37:55.3182798Z { 2022-11-23T01:37:55.3182875Z #pragma GCC ivdep 2022-11-23T01:37:55.3182955Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:55.3183019Z { 2022-11-23T01:37:55.3183094Z #pragma GCC ivdep 2022-11-23T01:37:55.3183166Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:37:55.3183228Z { 2022-11-23T01:37:55.3183292Z { 2022-11-23T01:37:55.3183354Z { 2022-11-23T01:37:55.3183456Z auto tmp0 = in_ptr0[(2*i1) + (40*i0)]; 2022-11-23T01:37:55.3183559Z auto tmp1 = in_ptr0[20 + (2*i1) + (40*i0)]; 2022-11-23T01:37:55.3183652Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3183746Z auto tmp3 = static_cast(1); 2022-11-23T01:37:55.3183835Z auto tmp4 = tmp0 + tmp3; 2022-11-23T01:37:55.3183925Z auto tmp5 = tmp1 + tmp3; 2022-11-23T01:37:55.3184011Z auto tmp6 = tmp4 + tmp5; 2022-11-23T01:37:55.3184106Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:37:55.3184196Z out_ptr1[i1 + (10*i0)] = tmp6; 2022-11-23T01:37:55.3184261Z } 2022-11-23T01:37:55.3184311Z } 2022-11-23T01:37:55.3184377Z } 2022-11-23T01:37:55.3184439Z } 2022-11-23T01:37:55.3184500Z } 2022-11-23T01:37:55.3184582Z ''') 2022-11-23T01:37:55.3184587Z 2022-11-23T01:37:55.3184591Z 2022-11-23T01:37:55.3184678Z async_compile.wait(globals()) 2022-11-23T01:37:55.3184749Z del async_compile 2022-11-23T01:37:55.3184753Z 2022-11-23T01:37:55.3184810Z def call(args): 2022-11-23T01:37:55.3184878Z arg0_1, = args 2022-11-23T01:37:55.3184947Z args.clear() 2022-11-23T01:37:55.3185148Z buf0 = empty_strided((2, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3185346Z buf1 = empty_strided((2, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3185511Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:55.3185582Z del arg0_1 2022-11-23T01:37:55.3185645Z return (buf0, buf1, ) 2022-11-23T01:37:55.3185662Z 2022-11-23T01:37:55.3185666Z 2022-11-23T01:37:55.3185729Z if __name__ == "__main__": 2022-11-23T01:37:55.3185843Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.3185964Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.3186175Z arg0_1 = rand_strided((2, 20, 2), (40, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3186282Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.3186287Z 2022-11-23T01:37:55.3186352Z ok (1.603s) 2022-11-23T01:37:55.3186658Z test_slice2_cpu (__main__.CpuTests) ... [2022-11-23 01:34:57,488] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.3186934Z [2022-11-23 01:34:57,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.3187142Z [2022-11-23 01:34:57,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.3187397Z [2022-11-23 01:34:57,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.3187715Z [2022-11-23 01:34:57,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.3188044Z [2022-11-23 01:34:57,488] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.3188464Z [2022-11-23 01:34:57,488] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.3188559Z 1687 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.3188652Z 2 LOAD_CONST 0 (None) 2022-11-23T01:37:55.3188829Z 4 LOAD_CONST 1 (-1) 2022-11-23T01:37:55.3188920Z 6 BUILD_SLICE 2 2022-11-23T01:37:55.3188998Z 8 LOAD_CONST 0 (None) 2022-11-23T01:37:55.3189086Z 10 LOAD_CONST 0 (None) 2022-11-23T01:37:55.3189179Z 12 LOAD_CONST 2 (2) 2022-11-23T01:37:55.3189270Z 14 BUILD_SLICE 3 2022-11-23T01:37:55.3189412Z 16 LOAD_CONST 1 (-1) 2022-11-23T01:37:55.3189503Z 18 BUILD_TUPLE 3 2022-11-23T01:37:55.3189584Z 20 BINARY_SUBSCR 2022-11-23T01:37:55.3189661Z 22 LOAD_FAST 0 (a) 2022-11-23T01:37:55.3189801Z 24 LOAD_CONST 1 (-1) 2022-11-23T01:37:55.3189894Z 26 LOAD_CONST 0 (None) 2022-11-23T01:37:55.3189982Z 28 BUILD_SLICE 2 2022-11-23T01:37:55.3190073Z 30 LOAD_CONST 3 (1) 2022-11-23T01:37:55.3190168Z 32 LOAD_CONST 0 (None) 2022-11-23T01:37:55.3190256Z 34 LOAD_CONST 2 (2) 2022-11-23T01:37:55.3190328Z 36 BUILD_SLICE 3 2022-11-23T01:37:55.3190469Z 38 LOAD_CONST 4 (-2) 2022-11-23T01:37:55.3190612Z 40 BUILD_TUPLE 3 2022-11-23T01:37:55.3190724Z 42 BINARY_SUBSCR 2022-11-23T01:37:55.3190820Z 44 BINARY_ADD 2022-11-23T01:37:55.3190829Z 2022-11-23T01:37:55.3190946Z 1688 46 LOAD_FAST 0 (a) 2022-11-23T01:37:55.3191069Z 48 LOAD_CONST 3 (1) 2022-11-23T01:37:55.3191169Z 50 BINARY_ADD 2022-11-23T01:37:55.3191295Z 52 LOAD_CONST 0 (None) 2022-11-23T01:37:55.3191448Z 54 LOAD_CONST 1 (-1) 2022-11-23T01:37:55.3191536Z 56 BUILD_SLICE 2 2022-11-23T01:37:55.3191630Z 58 LOAD_CONST 0 (None) 2022-11-23T01:37:55.3191717Z 60 LOAD_CONST 0 (None) 2022-11-23T01:37:55.3191807Z 62 LOAD_CONST 2 (2) 2022-11-23T01:37:55.3191895Z 64 BUILD_SLICE 3 2022-11-23T01:37:55.3192021Z 66 LOAD_CONST 1 (-1) 2022-11-23T01:37:55.3192112Z 68 BUILD_TUPLE 3 2022-11-23T01:37:55.3192192Z 70 BINARY_SUBSCR 2022-11-23T01:37:55.3192281Z 72 LOAD_FAST 0 (a) 2022-11-23T01:37:55.3192369Z 74 LOAD_CONST 2 (2) 2022-11-23T01:37:55.3192442Z 76 BINARY_ADD 2022-11-23T01:37:55.3192581Z 78 LOAD_CONST 1 (-1) 2022-11-23T01:37:55.3192659Z 80 LOAD_CONST 0 (None) 2022-11-23T01:37:55.3192744Z 82 BUILD_SLICE 2 2022-11-23T01:37:55.3192833Z 84 LOAD_CONST 3 (1) 2022-11-23T01:37:55.3192929Z 86 LOAD_CONST 0 (None) 2022-11-23T01:37:55.3193016Z 88 LOAD_CONST 2 (2) 2022-11-23T01:37:55.3193104Z 90 BUILD_SLICE 3 2022-11-23T01:37:55.3193244Z 92 LOAD_CONST 4 (-2) 2022-11-23T01:37:55.3193367Z 94 BUILD_TUPLE 3 2022-11-23T01:37:55.3193449Z 96 BINARY_SUBSCR 2022-11-23T01:37:55.3193522Z 98 BINARY_ADD 2022-11-23T01:37:55.3193609Z 100 BUILD_TUPLE 2 2022-11-23T01:37:55.3193689Z 102 RETURN_VALUE 2022-11-23T01:37:55.3193750Z 2022-11-23T01:37:55.3193755Z 2022-11-23T01:37:55.3194033Z [2022-11-23 01:34:57,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1687 2022-11-23T01:37:55.3194234Z [2022-11-23 01:34:57,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.3194519Z [2022-11-23 01:34:57,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable()] 2022-11-23T01:37:55.3194812Z [2022-11-23 01:34:57,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:55.3195144Z [2022-11-23 01:34:57,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), ConstantVariable(NoneType), ConstantVariable(int)] 2022-11-23T01:37:55.3195421Z [2022-11-23 01:34:57,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), SliceVariable()] 2022-11-23T01:37:55.3195742Z [2022-11-23 01:34:57,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), SliceVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:55.3196103Z [2022-11-23 01:34:57,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)] 2022-11-23T01:37:55.3196508Z [2022-11-23 01:34:57,489] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 3 [TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType), ConstantVariable(int)] 2022-11-23T01:37:55.3196806Z [2022-11-23 01:34:57,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), SliceVariable(), SliceVariable()] 2022-11-23T01:37:55.3197141Z [2022-11-23 01:34:57,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3197422Z [2022-11-23 01:34:57,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.3197652Z [2022-11-23 01:34:57,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()] 2022-11-23T01:37:55.3197924Z [2022-11-23 01:34:57,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3198238Z [2022-11-23 01:34:57,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3198592Z [2022-11-23 01:34:57,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType)] 2022-11-23T01:37:55.3198889Z [2022-11-23 01:34:57,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), SliceVariable()] 2022-11-23T01:37:55.3199222Z [2022-11-23 01:34:57,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3199601Z [2022-11-23 01:34:57,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType)] 2022-11-23T01:37:55.3200020Z [2022-11-23 01:34:57,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 3 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(int)] 2022-11-23T01:37:55.3200347Z [2022-11-23 01:34:57,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()] 2022-11-23T01:37:55.3200736Z [2022-11-23 01:34:57,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3201043Z [2022-11-23 01:34:57,492] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.3201317Z [2022-11-23 01:34:57,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3201576Z [2022-11-23 01:34:57,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1688 2022-11-23T01:37:55.3201852Z [2022-11-23 01:34:57,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()] 2022-11-23T01:37:55.3202120Z [2022-11-23 01:34:57,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3202432Z [2022-11-23 01:34:57,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3202704Z [2022-11-23 01:34:57,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3203019Z [2022-11-23 01:34:57,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:55.3203371Z [2022-11-23 01:34:57,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(int)] 2022-11-23T01:37:55.3203674Z [2022-11-23 01:34:57,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), SliceVariable()] 2022-11-23T01:37:55.3204016Z [2022-11-23 01:34:57,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:55.3204403Z [2022-11-23 01:34:57,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)] 2022-11-23T01:37:55.3204830Z [2022-11-23 01:34:57,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 3 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType), ConstantVariable(int)] 2022-11-23T01:37:55.3205142Z [2022-11-23 01:34:57,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()] 2022-11-23T01:37:55.3205500Z [2022-11-23 01:34:57,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3205801Z [2022-11-23 01:34:57,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.3206070Z [2022-11-23 01:34:57,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3206366Z [2022-11-23 01:34:57,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3206702Z [2022-11-23 01:34:57,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3206998Z [2022-11-23 01:34:57,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3207335Z [2022-11-23 01:34:57,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3207746Z [2022-11-23 01:34:57,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType)] 2022-11-23T01:37:55.3208072Z [2022-11-23 01:34:57,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable()] 2022-11-23T01:37:55.3208439Z [2022-11-23 01:34:57,499] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3208851Z [2022-11-23 01:34:57,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType)] 2022-11-23T01:37:55.3209318Z [2022-11-23 01:34:57,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 3 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(int)] 2022-11-23T01:37:55.3209670Z [2022-11-23 01:34:57,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()] 2022-11-23T01:37:55.3210058Z [2022-11-23 01:34:57,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3210390Z [2022-11-23 01:34:57,500] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.3210689Z [2022-11-23 01:34:57,501] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3210964Z [2022-11-23 01:34:57,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3211212Z [2022-11-23 01:34:57,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.3211547Z [2022-11-23 01:34:57,502] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.3211794Z [2022-11-23 01:34:57,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.3212031Z [2022-11-23 01:34:57,502] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.3212287Z [2022-11-23 01:34:57,504] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.3212526Z [2022-11-23 01:34:57,513] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.3212722Z [2022-11-23 01:34:57,513] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.3212855Z __compiled_fn_367 .3019 opcode, name, target, args, kwargs 2022-11-23T01:37:55.3212945Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.3213209Z call_function, getitem, , (ex_0_, (slice(None, -1, None), slice(None, None, 2), -1)), {} 2022-11-23T01:37:55.3213469Z call_function, getitem_1, , (ex_0_, (slice(-1, None, None), slice(1, None, 2), -2)), {} 2022-11-23T01:37:55.3213668Z call_function, add, , (getitem, getitem_1), {} 2022-11-23T01:37:55.3213842Z call_function, add_1, , (ex_0_, 1), {} 2022-11-23T01:37:55.3214091Z call_function, getitem_2, , (add_1, (slice(None, -1, None), slice(None, None, 2), -1)), {} 2022-11-23T01:37:55.3214265Z call_function, add_2, , (ex_0_, 2), {} 2022-11-23T01:37:55.3214522Z call_function, getitem_3, , (add_2, (slice(-1, None, None), slice(1, None, 2), -2)), {} 2022-11-23T01:37:55.3214722Z call_function, add_3, , (getitem_2, getitem_3), {} 2022-11-23T01:37:55.3214823Z output, output, output, ((add, add_3),), {} 2022-11-23T01:37:55.3214829Z 2022-11-23T01:37:55.3215140Z [2022-11-23 01:34:57,513] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3215239Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.3215330Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3215423Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.3215499Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.3215574Z 8 RETURN_VALUE 2022-11-23T01:37:55.3215579Z 2022-11-23T01:37:55.3215640Z 2022-11-23T01:37:55.3215916Z [2022-11-23 01:34:57,514] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3216055Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_367) 2022-11-23T01:37:55.3216143Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3216231Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3216297Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.3216383Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.3216486Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3216587Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3216674Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3216750Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.3216851Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3216942Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.3217004Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.3217093Z 24 BUILD_TUPLE 2 2022-11-23T01:37:55.3217166Z 26 RETURN_VALUE 2022-11-23T01:37:55.3217171Z 2022-11-23T01:37:55.3217230Z 2022-11-23T01:37:55.3217415Z [2022-11-23 01:34:57,514] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.3217488Z - 2022-11-23T01:37:55.3217607Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.3217662Z { 2022-11-23T01:37:55.3217807Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.3217997Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.3218119Z 'obj_weakref': None 2022-11-23T01:37:55.3218343Z 'guarded_class': 2022-11-23T01:37:55.3218407Z } 2022-11-23T01:37:55.3218469Z 2022-11-23T01:37:55.3218527Z - 2022-11-23T01:37:55.3218651Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.3218716Z { 2022-11-23T01:37:55.3219069Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.3219198Z 'code': None, 2022-11-23T01:37:55.3219415Z 'obj_weakref': 2022-11-23T01:37:55.3219676Z 'guarded_class': 2022-11-23T01:37:55.3219727Z } 2022-11-23T01:37:55.3219790Z 2022-11-23T01:37:55.3219860Z - 2022-11-23T01:37:55.3219992Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.3220056Z { 2022-11-23T01:37:55.3220192Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.3220364Z 'code': ['___check_obj_id(model, 140539114085264)'], 2022-11-23T01:37:55.3220472Z 'obj_weakref': None 2022-11-23T01:37:55.3220705Z 'guarded_class': 2022-11-23T01:37:55.3220771Z } 2022-11-23T01:37:55.3220834Z 2022-11-23T01:37:55.3220904Z - 2022-11-23T01:37:55.3221026Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.3221088Z { 2022-11-23T01:37:55.3221213Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.3221532Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.3221658Z 'obj_weakref': None 2022-11-23T01:37:55.3221883Z 'guarded_class': 2022-11-23T01:37:55.3221947Z } 2022-11-23T01:37:55.3222010Z 2022-11-23T01:37:55.3222273Z [2022-11-23 01:34:57,532] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 360 2022-11-23T01:37:55.3222635Z [2022-11-23 01:34:59,056] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yz/cyzdoslnqke47xtwcadfqn5q6nw3kckriqioxyt5nafcbd66jfyf.py 2022-11-23T01:37:55.3222962Z [2022-11-23 01:34:59,057] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 360 2022-11-23T01:37:55.3222967Z 2022-11-23T01:37:55.3223063Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.3223133Z import torch 2022-11-23T01:37:55.3223201Z import random 2022-11-23T01:37:55.3223317Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.3223437Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.3223442Z 2022-11-23T01:37:55.3223518Z aten = torch.ops.aten 2022-11-23T01:37:55.3223641Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.3223732Z async_compile = AsyncCompile() 2022-11-23T01:37:55.3223737Z 2022-11-23T01:37:55.3223742Z 2022-11-23T01:37:55.3223876Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.3224134Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.3224314Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.3224430Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.3224526Z float* __restrict__ out_ptr1) 2022-11-23T01:37:55.3224585Z { 2022-11-23T01:37:55.3224648Z #pragma GCC ivdep 2022-11-23T01:37:55.3224728Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.3224789Z { 2022-11-23T01:37:55.3224852Z { 2022-11-23T01:37:55.3224914Z { 2022-11-23T01:37:55.3225009Z auto tmp0 = in_ptr0[1 + (4*i0)]; 2022-11-23T01:37:55.3225104Z auto tmp1 = in_ptr0[42 + (4*i0)]; 2022-11-23T01:37:55.3225181Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3225281Z auto tmp3 = static_cast(1); 2022-11-23T01:37:55.3225366Z auto tmp4 = tmp0 + tmp3; 2022-11-23T01:37:55.3225464Z auto tmp5 = static_cast(2); 2022-11-23T01:37:55.3225550Z auto tmp6 = tmp1 + tmp5; 2022-11-23T01:37:55.3225639Z auto tmp7 = tmp4 + tmp6; 2022-11-23T01:37:55.3225721Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.3225787Z out_ptr1[i0] = tmp7; 2022-11-23T01:37:55.3225849Z } 2022-11-23T01:37:55.3225914Z } 2022-11-23T01:37:55.3225973Z } 2022-11-23T01:37:55.3226031Z } 2022-11-23T01:37:55.3226112Z ''') 2022-11-23T01:37:55.3226118Z 2022-11-23T01:37:55.3226124Z 2022-11-23T01:37:55.3226212Z async_compile.wait(globals()) 2022-11-23T01:37:55.3226271Z del async_compile 2022-11-23T01:37:55.3226276Z 2022-11-23T01:37:55.3226344Z def call(args): 2022-11-23T01:37:55.3226414Z arg0_1, = args 2022-11-23T01:37:55.3226485Z args.clear() 2022-11-23T01:37:55.3226687Z buf0 = empty_strided((1, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3226887Z buf1 = empty_strided((1, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3227051Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:55.3227109Z del arg0_1 2022-11-23T01:37:55.3227185Z return (buf0, buf1, ) 2022-11-23T01:37:55.3227190Z 2022-11-23T01:37:55.3227194Z 2022-11-23T01:37:55.3227269Z if __name__ == "__main__": 2022-11-23T01:37:55.3227382Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.3227503Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.3227747Z arg0_1 = rand_strided((2, 20, 2), (40, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3227856Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.3227861Z 2022-11-23T01:37:55.3227927Z ok (1.576s) 2022-11-23T01:37:55.3228303Z test_slice_mutation1_cpu (__main__.CpuTests) ... [2022-11-23 01:34:59,064] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.3228585Z [2022-11-23 01:34:59,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.3228865Z [2022-11-23 01:34:59,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.3229189Z [2022-11-23 01:34:59,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.3229480Z [2022-11-23 01:34:59,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.3229811Z [2022-11-23 01:34:59,064] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.3230142Z [2022-11-23 01:34:59,065] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.3230240Z 3291 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.3230341Z 2 LOAD_METHOD 1 (zeros_like) 2022-11-23T01:37:55.3230421Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.3230511Z 6 CALL_METHOD 1 2022-11-23T01:37:55.3230604Z 8 STORE_FAST 1 (x) 2022-11-23T01:37:55.3230609Z 2022-11-23T01:37:55.3230698Z 3292 10 LOAD_FAST 1 (x) 2022-11-23T01:37:55.3230786Z 12 LOAD_CONST 1 (1) 2022-11-23T01:37:55.3230858Z 14 BINARY_ADD 2022-11-23T01:37:55.3230949Z 16 STORE_FAST 2 (b) 2022-11-23T01:37:55.3230954Z 2022-11-23T01:37:55.3231045Z 3293 18 LOAD_CONST 2 (3.0) 2022-11-23T01:37:55.3231122Z 20 LOAD_FAST 1 (x) 2022-11-23T01:37:55.3231211Z 22 LOAD_CONST 0 (None) 2022-11-23T01:37:55.3231298Z 24 LOAD_CONST 0 (None) 2022-11-23T01:37:55.3231384Z 26 BUILD_SLICE 2 2022-11-23T01:37:55.3231471Z 28 LOAD_CONST 3 (3) 2022-11-23T01:37:55.3231559Z 30 BUILD_TUPLE 2 2022-11-23T01:37:55.3231637Z 32 STORE_SUBSCR 2022-11-23T01:37:55.3231642Z 2022-11-23T01:37:55.3231722Z 3294 34 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.3231812Z 36 LOAD_METHOD 2 (clone) 2022-11-23T01:37:55.3231897Z 38 LOAD_FAST 1 (x) 2022-11-23T01:37:55.3231982Z 40 CALL_METHOD 1 2022-11-23T01:37:55.3232070Z 42 STORE_FAST 3 (c) 2022-11-23T01:37:55.3232075Z 2022-11-23T01:37:55.3232164Z 3295 44 LOAD_CONST 4 (4.0) 2022-11-23T01:37:55.3232252Z 46 LOAD_FAST 1 (x) 2022-11-23T01:37:55.3232337Z 48 LOAD_CONST 5 (4) 2022-11-23T01:37:55.3232415Z 50 LOAD_CONST 0 (None) 2022-11-23T01:37:55.3232502Z 52 LOAD_CONST 0 (None) 2022-11-23T01:37:55.3232587Z 54 BUILD_SLICE 2 2022-11-23T01:37:55.3232672Z 56 BUILD_TUPLE 2 2022-11-23T01:37:55.3232747Z 58 STORE_SUBSCR 2022-11-23T01:37:55.3232752Z 2022-11-23T01:37:55.3232837Z 3296 60 LOAD_FAST 1 (x) 2022-11-23T01:37:55.3232922Z 62 LOAD_CONST 1 (1) 2022-11-23T01:37:55.3232983Z 64 BINARY_ADD 2022-11-23T01:37:55.3233068Z 66 STORE_FAST 4 (d) 2022-11-23T01:37:55.3233108Z 2022-11-23T01:37:55.3233195Z 3297 68 LOAD_FAST 1 (x) 2022-11-23T01:37:55.3233280Z 70 LOAD_FAST 2 (b) 2022-11-23T01:37:55.3233366Z 72 LOAD_FAST 3 (c) 2022-11-23T01:37:55.3233448Z 74 LOAD_FAST 4 (d) 2022-11-23T01:37:55.3233536Z 76 BUILD_TUPLE 4 2022-11-23T01:37:55.3233609Z 78 RETURN_VALUE 2022-11-23T01:37:55.3233657Z 2022-11-23T01:37:55.3233662Z 2022-11-23T01:37:55.3233936Z [2022-11-23 01:34:59,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3291 2022-11-23T01:37:55.3234193Z [2022-11-23 01:34:59,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.3234575Z [2022-11-23 01:34:59,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros_like [TorchVariable()] 2022-11-23T01:37:55.3234909Z [2022-11-23 01:34:59,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:55.3235274Z [2022-11-23 01:34:59,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.3235517Z [2022-11-23 01:34:59,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x [TensorVariable()] 2022-11-23T01:37:55.3235787Z [2022-11-23 01:34:59,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3292 2022-11-23T01:37:55.3236002Z [2022-11-23 01:34:59,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.3236242Z [2022-11-23 01:34:59,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:37:55.3236515Z [2022-11-23 01:34:59,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3236754Z [2022-11-23 01:34:59,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()] 2022-11-23T01:37:55.3237025Z [2022-11-23 01:34:59,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3293 2022-11-23T01:37:55.3237241Z [2022-11-23 01:34:59,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.0 [] 2022-11-23T01:37:55.3237494Z [2022-11-23 01:34:59,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ConstantVariable(float)] 2022-11-23T01:37:55.3237784Z [2022-11-23 01:34:59,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstantVariable(float), TensorVariable()] 2022-11-23T01:37:55.3238120Z [2022-11-23 01:34:59,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstantVariable(float), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:55.3238497Z [2022-11-23 01:34:59,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [ConstantVariable(float), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)] 2022-11-23T01:37:55.3238803Z [2022-11-23 01:34:59,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [ConstantVariable(float), TensorVariable(), SliceVariable()] 2022-11-23T01:37:55.3239148Z [2022-11-23 01:34:59,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [ConstantVariable(float), TensorVariable(), SliceVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3239534Z [2022-11-23 01:34:59,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_SUBSCR None [ConstantVariable(float), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.3239828Z [2022-11-23 01:34:59,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3294 2022-11-23T01:37:55.3240050Z [2022-11-23 01:34:59,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.3240457Z [2022-11-23 01:34:59,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clone [TorchVariable()] 2022-11-23T01:37:55.3240789Z [2022-11-23 01:34:59,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:37:55.3241144Z [2022-11-23 01:34:59,073] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.3241385Z [2022-11-23 01:34:59,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()] 2022-11-23T01:37:55.3241690Z [2022-11-23 01:34:59,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3295 2022-11-23T01:37:55.3241910Z [2022-11-23 01:34:59,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4.0 [] 2022-11-23T01:37:55.3242167Z [2022-11-23 01:34:59,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ConstantVariable(float)] 2022-11-23T01:37:55.3242437Z [2022-11-23 01:34:59,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [ConstantVariable(float), TensorVariable()] 2022-11-23T01:37:55.3242763Z [2022-11-23 01:34:59,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstantVariable(float), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3243131Z [2022-11-23 01:34:59,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [ConstantVariable(float), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType)] 2022-11-23T01:37:55.3243551Z [2022-11-23 01:34:59,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [ConstantVariable(float), TensorVariable(), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(NoneType)] 2022-11-23T01:37:55.3243901Z [2022-11-23 01:34:59,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [ConstantVariable(float), TensorVariable(), ConstantVariable(int), SliceVariable()] 2022-11-23T01:37:55.3244220Z [2022-11-23 01:34:59,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_SUBSCR None [ConstantVariable(float), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.3244495Z [2022-11-23 01:34:59,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3296 2022-11-23T01:37:55.3244710Z [2022-11-23 01:34:59,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.3244955Z [2022-11-23 01:34:59,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:37:55.3245243Z [2022-11-23 01:34:59,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3245485Z [2022-11-23 01:34:59,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST d [TensorVariable()] 2022-11-23T01:37:55.3245746Z [2022-11-23 01:34:59,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3297 2022-11-23T01:37:55.3245959Z [2022-11-23 01:34:59,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.3246204Z [2022-11-23 01:34:59,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.3246472Z [2022-11-23 01:34:59,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3246770Z [2022-11-23 01:34:59,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3247098Z [2022-11-23 01:34:59,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3247351Z [2022-11-23 01:34:59,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.3247718Z [2022-11-23 01:34:59,076] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.3247971Z [2022-11-23 01:34:59,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.3248209Z [2022-11-23 01:34:59,076] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.3248455Z [2022-11-23 01:34:59,077] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.3248711Z [2022-11-23 01:34:59,084] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.3248938Z [2022-11-23 01:34:59,084] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.3249075Z __compiled_fn_368 .3025 opcode, name, target, args, kwargs 2022-11-23T01:37:55.3249166Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.3249418Z call_function, zeros_like, , (ex_0_,), {} 2022-11-23T01:37:55.3249606Z call_function, add, , (zeros_like, 1), {} 2022-11-23T01:37:55.3249857Z call_function, setitem, , (zeros_like, (slice(None, None, None), 3), 3.0), {} 2022-11-23T01:37:55.3250153Z call_function, clone, , (zeros_like,), {} 2022-11-23T01:37:55.3250494Z call_function, setitem_1, , (zeros_like, (4, slice(None, None, None)), 4.0), {} 2022-11-23T01:37:55.3250756Z call_function, add_1, , (zeros_like, 1), {} 2022-11-23T01:37:55.3250891Z output, output, output, ((zeros_like, add, clone, add_1),), {} 2022-11-23T01:37:55.3250896Z 2022-11-23T01:37:55.3251183Z [2022-11-23 01:34:59,085] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3251284Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.3251379Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3251477Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.3251554Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.3251629Z 8 RETURN_VALUE 2022-11-23T01:37:55.3251634Z 2022-11-23T01:37:55.3251696Z 2022-11-23T01:37:55.3251972Z [2022-11-23 01:34:59,085] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3252081Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_368) 2022-11-23T01:37:55.3252169Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3252263Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3252338Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.3252414Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.3252515Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3252619Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3252707Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3252782Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.3252885Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3252972Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.3253034Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.3253131Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3253219Z 26 LOAD_CONST 3 (2) 2022-11-23T01:37:55.3253295Z 28 BINARY_SUBSCR 2022-11-23T01:37:55.3253395Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3253481Z 32 LOAD_CONST 4 (3) 2022-11-23T01:37:55.3253554Z 34 BINARY_SUBSCR 2022-11-23T01:37:55.3253628Z 36 BUILD_TUPLE 4 2022-11-23T01:37:55.3253701Z 38 RETURN_VALUE 2022-11-23T01:37:55.3253706Z 2022-11-23T01:37:55.3253765Z 2022-11-23T01:37:55.3253989Z [2022-11-23 01:34:59,085] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.3254064Z - 2022-11-23T01:37:55.3254186Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.3254250Z { 2022-11-23T01:37:55.3254384Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.3254573Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.3254695Z 'obj_weakref': None 2022-11-23T01:37:55.3254925Z 'guarded_class': 2022-11-23T01:37:55.3254989Z } 2022-11-23T01:37:55.3255086Z 2022-11-23T01:37:55.3255158Z - 2022-11-23T01:37:55.3255273Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.3255337Z { 2022-11-23T01:37:55.3255484Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.3255593Z 'code': None, 2022-11-23T01:37:55.3255813Z 'obj_weakref': 2022-11-23T01:37:55.3256072Z 'guarded_class': 2022-11-23T01:37:55.3256136Z } 2022-11-23T01:37:55.3256186Z 2022-11-23T01:37:55.3256256Z - 2022-11-23T01:37:55.3256388Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.3256450Z { 2022-11-23T01:37:55.3256586Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.3256757Z 'code': ['___check_obj_id(model, 140538742637776)'], 2022-11-23T01:37:55.3256878Z 'obj_weakref': None 2022-11-23T01:37:55.3257102Z 'guarded_class': 2022-11-23T01:37:55.3257165Z } 2022-11-23T01:37:55.3257227Z 2022-11-23T01:37:55.3257299Z - 2022-11-23T01:37:55.3257422Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.3257488Z { 2022-11-23T01:37:55.3257627Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.3257836Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.3257957Z 'obj_weakref': None 2022-11-23T01:37:55.3258177Z 'guarded_class': 2022-11-23T01:37:55.3258241Z } 2022-11-23T01:37:55.3258303Z 2022-11-23T01:37:55.3258372Z - 2022-11-23T01:37:55.3258507Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.3258557Z { 2022-11-23T01:37:55.3258677Z 'guard_types': None, 2022-11-23T01:37:55.3258950Z 'code': None, 2022-11-23T01:37:55.3259120Z 'obj_weakref': None 2022-11-23T01:37:55.3259249Z 'guarded_class': None 2022-11-23T01:37:55.3259312Z } 2022-11-23T01:37:55.3259373Z 2022-11-23T01:37:55.3259625Z [2022-11-23 01:34:59,100] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 361 2022-11-23T01:37:55.3259999Z [2022-11-23 01:35:00,650] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hf/chfoyo5oqy4g6bgsgxdlt72vvzxdoq7ochripj3pcqna72bfvfwa.py 2022-11-23T01:37:55.3260267Z [2022-11-23 01:35:00,651] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 361 2022-11-23T01:37:55.3260274Z 2022-11-23T01:37:55.3260370Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.3260440Z import torch 2022-11-23T01:37:55.3260509Z import random 2022-11-23T01:37:55.3260623Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.3260748Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.3260753Z 2022-11-23T01:37:55.3260819Z aten = torch.ops.aten 2022-11-23T01:37:55.3260952Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.3261045Z async_compile = AsyncCompile() 2022-11-23T01:37:55.3261050Z 2022-11-23T01:37:55.3261054Z 2022-11-23T01:37:55.3261261Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.3261472Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.3261586Z extern "C" void kernel(float* __restrict__ out_ptr0, 2022-11-23T01:37:55.3261685Z float* __restrict__ out_ptr1, 2022-11-23T01:37:55.3261779Z float* __restrict__ out_ptr2, 2022-11-23T01:37:55.3261860Z float* __restrict__ out_ptr3) 2022-11-23T01:37:55.3261919Z { 2022-11-23T01:37:55.3261999Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.3262100Z { 2022-11-23T01:37:55.3262253Z auto tmp0 = at::vec::Vectorized(static_cast(0)); 2022-11-23T01:37:55.3262387Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:55.3262469Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3262546Z tmp0.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.3262633Z tmp2.store(out_ptr1 + 8*i0); 2022-11-23T01:37:55.3262696Z } 2022-11-23T01:37:55.3262782Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.3262861Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:37:55.3262923Z { 2022-11-23T01:37:55.3263018Z auto tmp0 = static_cast(0); 2022-11-23T01:37:55.3263100Z auto tmp1 = static_cast(1); 2022-11-23T01:37:55.3263182Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3263261Z out_ptr0[i0] = tmp0; 2022-11-23T01:37:55.3263336Z out_ptr1[i0] = tmp2; 2022-11-23T01:37:55.3263398Z } 2022-11-23T01:37:55.3263473Z #pragma GCC ivdep 2022-11-23T01:37:55.3263557Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.3263604Z { 2022-11-23T01:37:55.3263664Z { 2022-11-23T01:37:55.3263726Z { 2022-11-23T01:37:55.3263830Z auto tmp0 = static_cast(3.0); 2022-11-23T01:37:55.3263919Z out_ptr0[3 + (8*i0)] = tmp0; 2022-11-23T01:37:55.3263980Z } 2022-11-23T01:37:55.3264029Z } 2022-11-23T01:37:55.3264089Z } 2022-11-23T01:37:55.3264165Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.3264224Z { 2022-11-23T01:37:55.3264354Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr0 + 8*i0); 2022-11-23T01:37:55.3264441Z tmp0.store(out_ptr2 + 8*i0); 2022-11-23T01:37:55.3264501Z } 2022-11-23T01:37:55.3264575Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.3264656Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:37:55.3264716Z { 2022-11-23T01:37:55.3264797Z auto tmp0 = out_ptr0[i0]; 2022-11-23T01:37:55.3264875Z out_ptr2[i0] = tmp0; 2022-11-23T01:37:55.3264936Z } 2022-11-23T01:37:55.3265011Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:37:55.3265058Z { 2022-11-23T01:37:55.3265190Z auto tmp0 = at::vec::Vectorized(static_cast(4.0)); 2022-11-23T01:37:55.3265284Z tmp0.store(out_ptr0 + 32 + (8*i0)); 2022-11-23T01:37:55.3265344Z } 2022-11-23T01:37:55.3265428Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.3265505Z for(long i0=8; i0<8; i0+=1) 2022-11-23T01:37:55.3265564Z { 2022-11-23T01:37:55.3265649Z auto tmp0 = static_cast(4.0); 2022-11-23T01:37:55.3265727Z out_ptr0[32 + i0] = tmp0; 2022-11-23T01:37:55.3265790Z } 2022-11-23T01:37:55.3265866Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.3265926Z { 2022-11-23T01:37:55.3266055Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr0 + 8*i0); 2022-11-23T01:37:55.3266186Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:55.3266256Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3266343Z tmp2.store(out_ptr3 + 8*i0); 2022-11-23T01:37:55.3266404Z } 2022-11-23T01:37:55.3266490Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.3266569Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:37:55.3266628Z { 2022-11-23T01:37:55.3266709Z auto tmp0 = out_ptr0[i0]; 2022-11-23T01:37:55.3266792Z auto tmp1 = static_cast(1); 2022-11-23T01:37:55.3266905Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3266985Z out_ptr3[i0] = tmp2; 2022-11-23T01:37:55.3267047Z } 2022-11-23T01:37:55.3267105Z } 2022-11-23T01:37:55.3267189Z ''') 2022-11-23T01:37:55.3267195Z 2022-11-23T01:37:55.3267200Z 2022-11-23T01:37:55.3267287Z async_compile.wait(globals()) 2022-11-23T01:37:55.3267348Z del async_compile 2022-11-23T01:37:55.3267353Z 2022-11-23T01:37:55.3267423Z def call(args): 2022-11-23T01:37:55.3267491Z arg0_1, = args 2022-11-23T01:37:55.3267563Z args.clear() 2022-11-23T01:37:55.3267760Z buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3268009Z buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3268280Z buf3 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3268462Z buf5 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3268658Z kernel_cpp_0(c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf5.data_ptr())) 2022-11-23T01:37:55.3268748Z return (buf0, buf1, buf3, buf5, ) 2022-11-23T01:37:55.3268754Z 2022-11-23T01:37:55.3268758Z 2022-11-23T01:37:55.3268836Z if __name__ == "__main__": 2022-11-23T01:37:55.3268952Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.3269076Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.3269279Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3269387Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.3269395Z 2022-11-23T01:37:55.3269465Z ok (1.595s) 2022-11-23T01:37:55.3269773Z test_slice_mutation2_cpu (__main__.CpuTests) ... [2022-11-23 01:35:00,658] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:37:55.3270048Z [2022-11-23 01:35:00,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3304 2022-11-23T01:37:55.3270264Z [2022-11-23 01:35:00,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.3270516Z [2022-11-23 01:35:00,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable()] 2022-11-23T01:37:55.3270811Z [2022-11-23 01:35:00,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:55.3271145Z [2022-11-23 01:35:00,658] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)] 2022-11-23T01:37:55.3271417Z [2022-11-23 01:35:00,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 20 [TensorVariable(), SliceVariable()] 2022-11-23T01:37:55.3271720Z [2022-11-23 01:35:00,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 40 [TensorVariable(), SliceVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3272063Z [2022-11-23 01:35:00,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.3272357Z [2022-11-23 01:35:00,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), SliceVariable(), SliceVariable()] 2022-11-23T01:37:55.3272621Z [2022-11-23 01:35:00,659] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.3272862Z [2022-11-23 01:35:00,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:37:55.3273144Z [2022-11-23 01:35:00,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3273386Z [2022-11-23 01:35:00,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()] 2022-11-23T01:37:55.3273657Z [2022-11-23 01:35:00,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3274010Z [2022-11-23 01:35:00,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:55.3274375Z [2022-11-23 01:35:00,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)] 2022-11-23T01:37:55.3274670Z [2022-11-23 01:35:00,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 20 [TensorVariable(), TensorVariable(), SliceVariable()] 2022-11-23T01:37:55.3274998Z [2022-11-23 01:35:00,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 40 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3275398Z [2022-11-23 01:35:00,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.3275711Z [2022-11-23 01:35:00,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()] 2022-11-23T01:37:55.3276015Z [2022-11-23 01:35:00,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.3276283Z [2022-11-23 01:35:00,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3305 2022-11-23T01:37:55.3276496Z [2022-11-23 01:35:00,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.3276742Z [2022-11-23 01:35:00,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable()] 2022-11-23T01:37:55.3277036Z [2022-11-23 01:35:00,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:55.3277369Z [2022-11-23 01:35:00,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)] 2022-11-23T01:37:55.3277636Z [2022-11-23 01:35:00,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), SliceVariable()] 2022-11-23T01:37:55.3277940Z [2022-11-23 01:35:00,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), SliceVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3278279Z [2022-11-23 01:35:00,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.3278573Z [2022-11-23 01:35:00,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), SliceVariable(), SliceVariable()] 2022-11-23T01:37:55.3278840Z [2022-11-23 01:35:00,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.3279083Z [2022-11-23 01:35:00,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:37:55.3279367Z [2022-11-23 01:35:00,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3279608Z [2022-11-23 01:35:00,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()] 2022-11-23T01:37:55.3279881Z [2022-11-23 01:35:00,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3280201Z [2022-11-23 01:35:00,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:55.3280567Z [2022-11-23 01:35:00,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)] 2022-11-23T01:37:55.3280861Z [2022-11-23 01:35:00,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), SliceVariable()] 2022-11-23T01:37:55.3281221Z [2022-11-23 01:35:00,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 11 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3281590Z [2022-11-23 01:35:00,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.3281899Z [2022-11-23 01:35:00,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()] 2022-11-23T01:37:55.3282202Z [2022-11-23 01:35:00,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.3282449Z [2022-11-23 01:35:00,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [] 2022-11-23T01:37:55.3282715Z [2022-11-23 01:35:00,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ConstantVariable(NoneType)] 2022-11-23T01:37:55.3282952Z [2022-11-23 01:35:00,666] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:37:55.3283199Z [2022-11-23 01:35:00,668] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:37:55.3283495Z [2022-11-23 01:35:00,674] torch._dynamo.optimizations.training: [WARNING] Unable to use Aot Autograd because of presence of mutation 2022-11-23T01:37:55.3283760Z [2022-11-23 01:35:00,674] torch._inductor.compile_fx: [WARNING] Aot Autograd is not safe to run, so falling back to eager 2022-11-23T01:37:55.3283999Z [2022-11-23 01:35:00,674] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:37:55.3284198Z [2022-11-23 01:35:00,675] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.3284321Z __compiled_fn_369 .3028 opcode, name, target, args, kwargs 2022-11-23T01:37:55.3284403Z placeholder, a, a, (), {} 2022-11-23T01:37:55.3284659Z call_function, getitem, , (a, (slice(None, None, None), slice(20, 40, None))), {} 2022-11-23T01:37:55.3284841Z call_function, add, , (getitem, 1), {} 2022-11-23T01:37:55.3285096Z call_function, setitem, , (a, (slice(None, None, None), slice(20, 40, None)), add), {} 2022-11-23T01:37:55.3285347Z call_function, getitem_1, , (a, (slice(None, None, None), slice(1, 10, None))), {} 2022-11-23T01:37:55.3285530Z call_function, add_1, , (getitem_1, 2), {} 2022-11-23T01:37:55.3285791Z call_function, setitem_1, , (a, (slice(None, None, None), slice(2, 11, None)), add_1), {} 2022-11-23T01:37:55.3285873Z output, output, output, ((),), {} 2022-11-23T01:37:55.3285879Z 2022-11-23T01:37:55.3286159Z [2022-11-23 01:35:00,675] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 3303 2022-11-23T01:37:55.3286249Z 3304 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.3286343Z 2 LOAD_CONST 0 (None) 2022-11-23T01:37:55.3286433Z 4 LOAD_CONST 0 (None) 2022-11-23T01:37:55.3286523Z 6 BUILD_SLICE 2 2022-11-23T01:37:55.3286615Z 8 LOAD_CONST 1 (20) 2022-11-23T01:37:55.3286703Z 10 LOAD_CONST 2 (40) 2022-11-23T01:37:55.3286776Z 12 BUILD_SLICE 2 2022-11-23T01:37:55.3286865Z 14 BUILD_TUPLE 2 2022-11-23T01:37:55.3286944Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.3287036Z 18 LOAD_CONST 3 (1) 2022-11-23T01:37:55.3287113Z 20 BINARY_ADD 2022-11-23T01:37:55.3287202Z 22 LOAD_FAST 0 (a) 2022-11-23T01:37:55.3287296Z 24 LOAD_CONST 0 (None) 2022-11-23T01:37:55.3287372Z 26 LOAD_CONST 0 (None) 2022-11-23T01:37:55.3287459Z 28 BUILD_SLICE 2 2022-11-23T01:37:55.3287577Z 30 LOAD_CONST 1 (20) 2022-11-23T01:37:55.3287667Z 32 LOAD_CONST 2 (40) 2022-11-23T01:37:55.3287753Z 34 BUILD_SLICE 2 2022-11-23T01:37:55.3287841Z 36 BUILD_TUPLE 2 2022-11-23T01:37:55.3287919Z 38 STORE_SUBSCR 2022-11-23T01:37:55.3287924Z 2022-11-23T01:37:55.3287999Z 3305 40 LOAD_FAST 0 (a) 2022-11-23T01:37:55.3288093Z 42 LOAD_CONST 0 (None) 2022-11-23T01:37:55.3288181Z 44 LOAD_CONST 0 (None) 2022-11-23T01:37:55.3288309Z 46 BUILD_SLICE 2 2022-11-23T01:37:55.3288399Z 48 LOAD_CONST 3 (1) 2022-11-23T01:37:55.3288486Z 50 LOAD_CONST 4 (10) 2022-11-23T01:37:55.3288575Z 52 BUILD_SLICE 2 2022-11-23T01:37:55.3288663Z 54 BUILD_TUPLE 2 2022-11-23T01:37:55.3288731Z 56 BINARY_SUBSCR 2022-11-23T01:37:55.3288821Z 58 LOAD_CONST 5 (2) 2022-11-23T01:37:55.3288896Z 60 BINARY_ADD 2022-11-23T01:37:55.3288986Z 62 LOAD_FAST 0 (a) 2022-11-23T01:37:55.3289077Z 64 LOAD_CONST 0 (None) 2022-11-23T01:37:55.3289169Z 66 LOAD_CONST 0 (None) 2022-11-23T01:37:55.3289256Z 68 BUILD_SLICE 2 2022-11-23T01:37:55.3289332Z 70 LOAD_CONST 5 (2) 2022-11-23T01:37:55.3289422Z 72 LOAD_CONST 6 (11) 2022-11-23T01:37:55.3289511Z 74 BUILD_SLICE 2 2022-11-23T01:37:55.3289598Z 76 BUILD_TUPLE 2 2022-11-23T01:37:55.3289675Z 78 STORE_SUBSCR 2022-11-23T01:37:55.3289769Z 80 LOAD_CONST 0 (None) 2022-11-23T01:37:55.3289845Z 82 RETURN_VALUE 2022-11-23T01:37:55.3289849Z 2022-11-23T01:37:55.3289897Z 2022-11-23T01:37:55.3290189Z [2022-11-23 01:35:00,675] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 3303 2022-11-23T01:37:55.3290301Z 3303 0 LOAD_GLOBAL 0 (__compiled_fn_369) 2022-11-23T01:37:55.3290391Z 2 LOAD_FAST 0 (a) 2022-11-23T01:37:55.3290480Z 4 CALL_FUNCTION 1 2022-11-23T01:37:55.3290555Z 6 POP_TOP 2022-11-23T01:37:55.3290647Z 8 LOAD_CONST 0 (None) 2022-11-23T01:37:55.3290709Z 10 RETURN_VALUE 2022-11-23T01:37:55.3290728Z 2022-11-23T01:37:55.3290779Z 2022-11-23T01:37:55.3290966Z [2022-11-23 01:35:00,676] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.3291037Z - 2022-11-23T01:37:55.3291199Z local 'a' TENSOR_MATCH 2022-11-23T01:37:55.3291301Z { 2022-11-23T01:37:55.3291503Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.3291601Z 'code': None, 2022-11-23T01:37:55.3291822Z 'obj_weakref': 2022-11-23T01:37:55.3292083Z 'guarded_class': 2022-11-23T01:37:55.3292151Z } 2022-11-23T01:37:55.3292213Z 2022-11-23T01:37:55.3292280Z ok (0.022s) 2022-11-23T01:37:55.3292604Z test_slice_scatter2_cpu (__main__.CpuTests) ... [2022-11-23 01:35:00,692] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.3292876Z [2022-11-23 01:35:00,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.3293087Z [2022-11-23 01:35:00,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.3293344Z [2022-11-23 01:35:00,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.3293672Z [2022-11-23 01:35:00,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.3294002Z [2022-11-23 01:35:00,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.3294333Z [2022-11-23 01:35:00,692] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.3294431Z 3658 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.3294536Z 2 LOAD_METHOD 1 (slice_scatter) 2022-11-23T01:37:55.3294659Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.3294747Z 6 LOAD_FAST 1 (b) 2022-11-23T01:37:55.3294822Z 8 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3294909Z 10 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3295009Z 12 LOAD_CONST 2 (9223372036854775807) 2022-11-23T01:37:55.3295097Z 14 CALL_METHOD 5 2022-11-23T01:37:55.3295173Z 16 RETURN_VALUE 2022-11-23T01:37:55.3295232Z 2022-11-23T01:37:55.3295237Z 2022-11-23T01:37:55.3295509Z [2022-11-23 01:35:00,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3658 2022-11-23T01:37:55.3295716Z [2022-11-23 01:35:00,692] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.3296038Z [2022-11-23 01:35:00,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TorchVariable()] 2022-11-23T01:37:55.3296307Z [2022-11-23 01:35:00,698] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.slice_scatter)] 2022-11-23T01:37:55.3296601Z [2022-11-23 01:35:00,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(aten.slice_scatter), TensorVariable()] 2022-11-23T01:37:55.3296927Z [2022-11-23 01:35:00,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3297287Z [2022-11-23 01:35:00,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3297704Z [2022-11-23 01:35:00,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 9223372036854775807 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.3298148Z [2022-11-23 01:35:00,699] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.3298397Z [2022-11-23 01:35:00,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.3298883Z [2022-11-23 01:35:00,700] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.3299250Z [2022-11-23 01:35:00,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.3299490Z [2022-11-23 01:35:00,700] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.3299735Z [2022-11-23 01:35:00,701] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.3299991Z [2022-11-23 01:35:00,703] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.3300182Z [2022-11-23 01:35:00,704] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.3300317Z __compiled_fn_370 .3034 opcode, name, target, args, kwargs 2022-11-23T01:37:55.3300409Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.3300560Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.3300710Z call_function, slice_scatter, aten.slice_scatter, (ex_0_, ex_1_, 0, 0, 9223372036854775807), {} 2022-11-23T01:37:55.3300820Z output, output, output, ((slice_scatter,),), {} 2022-11-23T01:37:55.3300826Z 2022-11-23T01:37:55.3301093Z [2022-11-23 01:35:00,704] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3301187Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.3301276Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3301367Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.3301503Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.3301579Z 8 RETURN_VALUE 2022-11-23T01:37:55.3301584Z 2022-11-23T01:37:55.3301647Z 2022-11-23T01:37:55.3302012Z [2022-11-23 01:35:00,704] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3302147Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_370) 2022-11-23T01:37:55.3302269Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3302398Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3302480Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.3302567Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3302655Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.3302730Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.3302807Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.3302898Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.3302974Z 18 RETURN_VALUE 2022-11-23T01:37:55.3302980Z 2022-11-23T01:37:55.3303038Z 2022-11-23T01:37:55.3303226Z [2022-11-23 01:35:00,705] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.3303299Z - 2022-11-23T01:37:55.3303419Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.3303471Z { 2022-11-23T01:37:55.3303616Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.3303805Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.3303926Z 'obj_weakref': None 2022-11-23T01:37:55.3304150Z 'guarded_class': 2022-11-23T01:37:55.3304213Z } 2022-11-23T01:37:55.3304275Z 2022-11-23T01:37:55.3304332Z - 2022-11-23T01:37:55.3304456Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.3304518Z { 2022-11-23T01:37:55.3304665Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.3304775Z 'code': None, 2022-11-23T01:37:55.3304991Z 'obj_weakref': 2022-11-23T01:37:55.3305248Z 'guarded_class': 2022-11-23T01:37:55.3305303Z } 2022-11-23T01:37:55.3305366Z 2022-11-23T01:37:55.3305436Z - 2022-11-23T01:37:55.3305561Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.3305622Z { 2022-11-23T01:37:55.3305766Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.3305875Z 'code': None, 2022-11-23T01:37:55.3306078Z 'obj_weakref': 2022-11-23T01:37:55.3306336Z 'guarded_class': 2022-11-23T01:37:55.3306402Z } 2022-11-23T01:37:55.3306463Z 2022-11-23T01:37:55.3306533Z - 2022-11-23T01:37:55.3306664Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.3306726Z { 2022-11-23T01:37:55.3306850Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.3307022Z 'code': ['___check_obj_id(model, 140538742056432)'], 2022-11-23T01:37:55.3307189Z 'obj_weakref': None 2022-11-23T01:37:55.3307428Z 'guarded_class': 2022-11-23T01:37:55.3307493Z } 2022-11-23T01:37:55.3307552Z 2022-11-23T01:37:55.3307621Z - 2022-11-23T01:37:55.3307733Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.3307795Z { 2022-11-23T01:37:55.3307933Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.3308250Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.3308417Z 'obj_weakref': None 2022-11-23T01:37:55.3308643Z 'guarded_class': 2022-11-23T01:37:55.3308706Z } 2022-11-23T01:37:55.3308758Z 2022-11-23T01:37:55.3308828Z - 2022-11-23T01:37:55.3308960Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.3309024Z { 2022-11-23T01:37:55.3309148Z 'guard_types': None, 2022-11-23T01:37:55.3309262Z 'code': None, 2022-11-23T01:37:55.3309382Z 'obj_weakref': None 2022-11-23T01:37:55.3309491Z 'guarded_class': None 2022-11-23T01:37:55.3309554Z } 2022-11-23T01:37:55.3309622Z 2022-11-23T01:37:55.3309887Z [2022-11-23 01:35:00,711] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 362 2022-11-23T01:37:55.3310264Z [2022-11-23 01:35:02,245] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lp/clp7iyxh5cct4jlsynamishw3zikuaqekbpkr4o2jemdzvyvrwtb.py 2022-11-23T01:37:55.3310537Z [2022-11-23 01:35:02,246] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 362 2022-11-23T01:37:55.3310543Z 2022-11-23T01:37:55.3310636Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.3310703Z import torch 2022-11-23T01:37:55.3310759Z import random 2022-11-23T01:37:55.3310875Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.3310997Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.3311002Z 2022-11-23T01:37:55.3311083Z aten = torch.ops.aten 2022-11-23T01:37:55.3311215Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.3311307Z async_compile = AsyncCompile() 2022-11-23T01:37:55.3311312Z 2022-11-23T01:37:55.3311316Z 2022-11-23T01:37:55.3311452Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.3311659Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.3311771Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.3311870Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.3311930Z { 2022-11-23T01:37:55.3312011Z for(long i0=0; i0<75648; i0+=1) 2022-11-23T01:37:55.3312071Z { 2022-11-23T01:37:55.3312214Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.3312303Z tmp0.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.3312351Z } 2022-11-23T01:37:55.3312437Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.3312522Z for(long i0=605184; i0<605184; i0+=1) 2022-11-23T01:37:55.3312582Z { 2022-11-23T01:37:55.3312664Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.3312742Z out_ptr0[i0] = tmp0; 2022-11-23T01:37:55.3312802Z } 2022-11-23T01:37:55.3312849Z } 2022-11-23T01:37:55.3312929Z ''') 2022-11-23T01:37:55.3312934Z 2022-11-23T01:37:55.3312938Z 2022-11-23T01:37:55.3313026Z async_compile.wait(globals()) 2022-11-23T01:37:55.3313101Z del async_compile 2022-11-23T01:37:55.3313106Z 2022-11-23T01:37:55.3313175Z def call(args): 2022-11-23T01:37:55.3313248Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.3313317Z args.clear() 2022-11-23T01:37:55.3313519Z buf0 = empty_strided((8, 197, 384), (75648, 384, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3313690Z kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.3313762Z del arg1_1 2022-11-23T01:37:55.3313833Z return (buf0, ) 2022-11-23T01:37:55.3313838Z 2022-11-23T01:37:55.3313842Z 2022-11-23T01:37:55.3313915Z if __name__ == "__main__": 2022-11-23T01:37:55.3314028Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.3314149Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.3314371Z arg0_1 = rand_strided((8, 197, 384), (75648, 384, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3314575Z arg1_1 = rand_strided((8, 197, 384), (75648, 384, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3314736Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.3314741Z 2022-11-23T01:37:55.3314809Z ok (1.594s) 2022-11-23T01:37:55.3315129Z test_slice_scatter_cpu (__main__.CpuTests) ... [2022-11-23 01:35:02,276] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.3315410Z [2022-11-23 01:35:02,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.3315632Z [2022-11-23 01:35:02,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.3315889Z [2022-11-23 01:35:02,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.3316182Z [2022-11-23 01:35:02,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.3316509Z [2022-11-23 01:35:02,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.3316830Z [2022-11-23 01:35:02,277] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.3316927Z 3644 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.3317034Z 2 LOAD_METHOD 1 (slice_scatter) 2022-11-23T01:37:55.3317126Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:55.3317215Z 6 LOAD_FAST 1 (a) 2022-11-23T01:37:55.3317304Z 8 LOAD_CONST 1 (2) 2022-11-23T01:37:55.3317395Z 10 LOAD_CONST 2 (10) 2022-11-23T01:37:55.3317536Z 12 LOAD_CONST 3 (-10) 2022-11-23T01:37:55.3317612Z 14 CALL_METHOD 5 2022-11-23T01:37:55.3317617Z 2022-11-23T01:37:55.3317707Z 3645 16 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.3317812Z 18 LOAD_METHOD 1 (slice_scatter) 2022-11-23T01:37:55.3317901Z 20 LOAD_FAST 0 (x) 2022-11-23T01:37:55.3317987Z 22 LOAD_FAST 1 (a) 2022-11-23T01:37:55.3318076Z 24 LOAD_CONST 0 (None) 2022-11-23T01:37:55.3318164Z 26 LOAD_CONST 0 (None) 2022-11-23T01:37:55.3318239Z 28 BUILD_SLICE 2 2022-11-23T01:37:55.3318326Z 30 LOAD_CONST 0 (None) 2022-11-23T01:37:55.3318413Z 32 LOAD_CONST 0 (None) 2022-11-23T01:37:55.3318498Z 34 BUILD_SLICE 2 2022-11-23T01:37:55.3318585Z 36 LOAD_CONST 0 (None) 2022-11-23T01:37:55.3318673Z 38 LOAD_CONST 4 (40) 2022-11-23T01:37:55.3318760Z 40 BUILD_SLICE 2 2022-11-23T01:37:55.3318834Z 42 BUILD_TUPLE 3 2022-11-23T01:37:55.3318913Z 44 BINARY_SUBSCR 2022-11-23T01:37:55.3319002Z 46 LOAD_CONST 1 (2) 2022-11-23T01:37:55.3319091Z 48 LOAD_CONST 2 (10) 2022-11-23T01:37:55.3319230Z 50 LOAD_CONST 3 (-10) 2022-11-23T01:37:55.3319318Z 52 LOAD_CONST 1 (2) 2022-11-23T01:37:55.3319435Z 54 CALL_METHOD 6 2022-11-23T01:37:55.3319523Z 56 BUILD_TUPLE 2 2022-11-23T01:37:55.3319586Z 58 RETURN_VALUE 2022-11-23T01:37:55.3319647Z 2022-11-23T01:37:55.3319652Z 2022-11-23T01:37:55.3319924Z [2022-11-23 01:35:02,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3644 2022-11-23T01:37:55.3320143Z [2022-11-23 01:35:02,277] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.3320464Z [2022-11-23 01:35:02,283] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TorchVariable()] 2022-11-23T01:37:55.3320800Z [2022-11-23 01:35:02,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.slice_scatter)] 2022-11-23T01:37:55.3321093Z [2022-11-23 01:35:02,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.slice_scatter), TensorVariable()] 2022-11-23T01:37:55.3321421Z [2022-11-23 01:35:02,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3321781Z [2022-11-23 01:35:02,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3322169Z [2022-11-23 01:35:02,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -10 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.3322617Z [2022-11-23 01:35:02,284] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 5 [TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.3322891Z [2022-11-23 01:35:02,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3645 2022-11-23T01:37:55.3323144Z [2022-11-23 01:35:02,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:55.3323495Z [2022-11-23 01:35:02,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR slice_scatter [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.3323791Z [2022-11-23 01:35:02,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.slice_scatter)] 2022-11-23T01:37:55.3324113Z [2022-11-23 01:35:02,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable()] 2022-11-23T01:37:55.3324472Z [2022-11-23 01:35:02,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3324965Z [2022-11-23 01:35:02,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:55.3325423Z [2022-11-23 01:35:02,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)] 2022-11-23T01:37:55.3325807Z [2022-11-23 01:35:02,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable()] 2022-11-23T01:37:55.3326240Z [2022-11-23 01:35:02,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:55.3326750Z [2022-11-23 01:35:02,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(NoneType)] 2022-11-23T01:37:55.3327162Z [2022-11-23 01:35:02,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable()] 2022-11-23T01:37:55.3327602Z [2022-11-23 01:35:02,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 40 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:55.3328093Z [2022-11-23 01:35:02,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_SLICE 2 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), ConstantVariable(NoneType), ConstantVariable(int)] 2022-11-23T01:37:55.3328558Z [2022-11-23 01:35:02,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), SliceVariable(), SliceVariable(), SliceVariable()] 2022-11-23T01:37:55.3328944Z [2022-11-23 01:35:02,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.3329294Z [2022-11-23 01:35:02,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3329687Z [2022-11-23 01:35:02,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3330119Z [2022-11-23 01:35:02,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -10 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.3330590Z [2022-11-23 01:35:02,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.3331097Z [2022-11-23 01:35:02,294] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 6 [TensorVariable(), TorchVariable(aten.slice_scatter), TensorVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.3331371Z [2022-11-23 01:35:02,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3331626Z [2022-11-23 01:35:02,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.3331962Z [2022-11-23 01:35:02,295] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.3332211Z [2022-11-23 01:35:02,295] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.3332450Z [2022-11-23 01:35:02,295] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.3332696Z [2022-11-23 01:35:02,297] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.3332948Z [2022-11-23 01:35:02,301] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.3333138Z [2022-11-23 01:35:02,302] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.3333279Z __compiled_fn_371 .3040 opcode, name, target, args, kwargs 2022-11-23T01:37:55.3333369Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.3333456Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.3333666Z call_function, slice_scatter, aten.slice_scatter, (ex_0_, ex_1_, 2, 10, -10), {} 2022-11-23T01:37:55.3333999Z call_function, getitem, , (ex_1_, (slice(None, None, None), slice(None, None, None), slice(None, 40, None))), {} 2022-11-23T01:37:55.3334224Z call_function, slice_scatter_1, aten.slice_scatter, (ex_0_, getitem, 2, 10, -10, 2), {} 2022-11-23T01:37:55.3334342Z output, output, output, ((slice_scatter, slice_scatter_1),), {} 2022-11-23T01:37:55.3334348Z 2022-11-23T01:37:55.3334630Z [2022-11-23 01:35:02,302] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3334726Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.3334851Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3334947Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.3335042Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.3335122Z 8 RETURN_VALUE 2022-11-23T01:37:55.3335128Z 2022-11-23T01:37:55.3335190Z 2022-11-23T01:37:55.3335460Z [2022-11-23 01:35:02,302] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3335573Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_371) 2022-11-23T01:37:55.3335665Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3335757Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3335834Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.3335923Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3336012Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.3336074Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.3336168Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.3336275Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3336379Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3336469Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3336545Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.3336649Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3336726Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:55.3336802Z 28 BINARY_SUBSCR 2022-11-23T01:37:55.3336892Z 30 BUILD_TUPLE 2 2022-11-23T01:37:55.3336967Z 32 RETURN_VALUE 2022-11-23T01:37:55.3336972Z 2022-11-23T01:37:55.3337035Z 2022-11-23T01:37:55.3337223Z [2022-11-23 01:35:02,303] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.3337301Z - 2022-11-23T01:37:55.3337410Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.3337481Z { 2022-11-23T01:37:55.3337627Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.3337819Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.3337945Z 'obj_weakref': None 2022-11-23T01:37:55.3338173Z 'guarded_class': 2022-11-23T01:37:55.3338244Z } 2022-11-23T01:37:55.3338296Z 2022-11-23T01:37:55.3338369Z - 2022-11-23T01:37:55.3338496Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.3338563Z { 2022-11-23T01:37:55.3338709Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.3339007Z 'code': None, 2022-11-23T01:37:55.3339333Z 'obj_weakref': 2022-11-23T01:37:55.3339596Z 'guarded_class': 2022-11-23T01:37:55.3339652Z } 2022-11-23T01:37:55.3339716Z 2022-11-23T01:37:55.3339789Z - 2022-11-23T01:37:55.3339916Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.3339980Z { 2022-11-23T01:37:55.3340128Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.3340225Z 'code': None, 2022-11-23T01:37:55.3340513Z 'obj_weakref': 2022-11-23T01:37:55.3340772Z 'guarded_class': 2022-11-23T01:37:55.3340837Z } 2022-11-23T01:37:55.3340902Z 2022-11-23T01:37:55.3340975Z - 2022-11-23T01:37:55.3341109Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.3341160Z { 2022-11-23T01:37:55.3341297Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.3341471Z 'code': ['___check_obj_id(model, 140538739949296)'], 2022-11-23T01:37:55.3341635Z 'obj_weakref': None 2022-11-23T01:37:55.3341873Z 'guarded_class': 2022-11-23T01:37:55.3341936Z } 2022-11-23T01:37:55.3341999Z 2022-11-23T01:37:55.3342056Z - 2022-11-23T01:37:55.3342181Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.3342248Z { 2022-11-23T01:37:55.3342388Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.3342611Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.3342733Z 'obj_weakref': None 2022-11-23T01:37:55.3342957Z 'guarded_class': 2022-11-23T01:37:55.3343019Z } 2022-11-23T01:37:55.3343068Z 2022-11-23T01:37:55.3343137Z - 2022-11-23T01:37:55.3343269Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.3343336Z { 2022-11-23T01:37:55.3343458Z 'guard_types': None, 2022-11-23T01:37:55.3343568Z 'code': None, 2022-11-23T01:37:55.3343675Z 'obj_weakref': None 2022-11-23T01:37:55.3343798Z 'guarded_class': None 2022-11-23T01:37:55.3343862Z } 2022-11-23T01:37:55.3343929Z 2022-11-23T01:37:55.3344199Z [2022-11-23 01:35:02,312] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 363 2022-11-23T01:37:55.3344568Z [2022-11-23 01:35:03,740] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sx/csx3l7z6z6vi3xxnvimwl73yk5im4mehqxaj37bc4tr6bmbg5fif.py 2022-11-23T01:37:55.3344836Z [2022-11-23 01:35:03,741] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 363 2022-11-23T01:37:55.3344842Z 2022-11-23T01:37:55.3344936Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.3344992Z import torch 2022-11-23T01:37:55.3345059Z import random 2022-11-23T01:37:55.3345177Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.3345296Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.3345301Z 2022-11-23T01:37:55.3345377Z aten = torch.ops.aten 2022-11-23T01:37:55.3345509Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.3345602Z async_compile = AsyncCompile() 2022-11-23T01:37:55.3345609Z 2022-11-23T01:37:55.3345613Z 2022-11-23T01:37:55.3345747Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.3345942Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.3346060Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.3346163Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.3346262Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.3346357Z float* __restrict__ out_ptr1) 2022-11-23T01:37:55.3346420Z { 2022-11-23T01:37:55.3346499Z #pragma GCC ivdep 2022-11-23T01:37:55.3346568Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:37:55.3346628Z { 2022-11-23T01:37:55.3346704Z #pragma GCC ivdep 2022-11-23T01:37:55.3346784Z for(long i1=0; i1<100; i1+=1) 2022-11-23T01:37:55.3346847Z { 2022-11-23T01:37:55.3346910Z { 2022-11-23T01:37:55.3346973Z { 2022-11-23T01:37:55.3347097Z auto tmp8 = in_ptr1[i1 + (100*i0)]; 2022-11-23T01:37:55.3347199Z auto tmp0 = static_cast(i1); 2022-11-23T01:37:55.3347298Z auto tmp1 = static_cast(10); 2022-11-23T01:37:55.3347388Z auto tmp2 = tmp0 >= tmp1; 2022-11-23T01:37:55.3347485Z auto tmp3 = static_cast(90); 2022-11-23T01:37:55.3347574Z auto tmp4 = tmp0 < tmp3; 2022-11-23T01:37:55.3347662Z auto tmp5 = tmp2 & tmp4; 2022-11-23T01:37:55.3347731Z float tmp6 = 0.0; 2022-11-23T01:37:55.3347835Z if(tmp5) 2022-11-23T01:37:55.3347901Z { 2022-11-23T01:37:55.3348075Z auto tmp7 = in_ptr0[(-10) + i1 + (80*i0)]; 2022-11-23T01:37:55.3348228Z tmp6 = tmp7; 2022-11-23T01:37:55.3348298Z } 2022-11-23T01:37:55.3348397Z auto tmp9 = tmp5 ? tmp6 : tmp8; 2022-11-23T01:37:55.3348494Z auto tmp10 = static_cast(i1 % 2); 2022-11-23T01:37:55.3348594Z auto tmp11 = static_cast(0); 2022-11-23T01:37:55.3348687Z auto tmp12 = tmp10 == tmp11; 2022-11-23T01:37:55.3348780Z auto tmp13 = tmp5 & tmp12; 2022-11-23T01:37:55.3348861Z float tmp14 = 0.0; 2022-11-23T01:37:55.3348933Z if(tmp13) 2022-11-23T01:37:55.3348999Z { 2022-11-23T01:37:55.3349165Z auto tmp15 = in_ptr0[(-5) + (80*i0) + (i1 / 2)]; 2022-11-23T01:37:55.3349249Z tmp14 = tmp15; 2022-11-23T01:37:55.3349319Z } 2022-11-23T01:37:55.3349417Z auto tmp16 = tmp13 ? tmp14 : tmp8; 2022-11-23T01:37:55.3349510Z out_ptr0[i1 + (100*i0)] = tmp9; 2022-11-23T01:37:55.3349602Z out_ptr1[i1 + (100*i0)] = tmp16; 2022-11-23T01:37:55.3349666Z } 2022-11-23T01:37:55.3349719Z } 2022-11-23T01:37:55.3349786Z } 2022-11-23T01:37:55.3349848Z } 2022-11-23T01:37:55.3349908Z } 2022-11-23T01:37:55.3349988Z ''') 2022-11-23T01:37:55.3349993Z 2022-11-23T01:37:55.3349998Z 2022-11-23T01:37:55.3350086Z async_compile.wait(globals()) 2022-11-23T01:37:55.3350156Z del async_compile 2022-11-23T01:37:55.3350161Z 2022-11-23T01:37:55.3350219Z def call(args): 2022-11-23T01:37:55.3350293Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.3350362Z args.clear() 2022-11-23T01:37:55.3350575Z buf0 = empty_strided((4, 8, 100), (800, 100, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3350790Z buf1 = empty_strided((4, 8, 100), (800, 100, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3350978Z kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:55.3351046Z del arg0_1 2022-11-23T01:37:55.3351109Z del arg1_1 2022-11-23T01:37:55.3351177Z return (buf0, buf1, ) 2022-11-23T01:37:55.3351181Z 2022-11-23T01:37:55.3351185Z 2022-11-23T01:37:55.3351261Z if __name__ == "__main__": 2022-11-23T01:37:55.3351375Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.3351497Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.3351708Z arg0_1 = rand_strided((4, 8, 100), (800, 100, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3351916Z arg1_1 = rand_strided((4, 8, 80), (640, 80, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3352031Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.3352039Z 2022-11-23T01:37:55.3352106Z ok (1.473s) 2022-11-23T01:37:55.3352403Z test_softmax_cpu (__main__.CpuTests) ... [2022-11-23 01:35:03,749] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.3352675Z [2022-11-23 01:35:03,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.3352934Z [2022-11-23 01:35:03,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.3353194Z [2022-11-23 01:35:03,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.3353484Z [2022-11-23 01:35:03,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.3353810Z [2022-11-23 01:35:03,749] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.3354176Z [2022-11-23 01:35:03,750] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.3354274Z 1231 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.3354369Z 2 LOAD_METHOD 1 (softmax) 2022-11-23T01:37:55.3354449Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.3354538Z 6 LOAD_FAST 1 (b) 2022-11-23T01:37:55.3354611Z 8 BINARY_ADD 2022-11-23T01:37:55.3354751Z 10 LOAD_CONST 1 (-1) 2022-11-23T01:37:55.3354838Z 12 CALL_METHOD 2 2022-11-23T01:37:55.3354930Z 14 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.3355023Z 16 LOAD_METHOD 1 (softmax) 2022-11-23T01:37:55.3355100Z 18 LOAD_FAST 0 (a) 2022-11-23T01:37:55.3355186Z 20 LOAD_CONST 2 (0) 2022-11-23T01:37:55.3355274Z 22 CALL_METHOD 2 2022-11-23T01:37:55.3355366Z 24 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.3355461Z 26 LOAD_METHOD 1 (softmax) 2022-11-23T01:37:55.3355548Z 28 LOAD_FAST 1 (b) 2022-11-23T01:37:55.3355633Z 30 LOAD_CONST 3 (1) 2022-11-23T01:37:55.3355708Z 32 CALL_METHOD 2 2022-11-23T01:37:55.3355794Z 34 BUILD_TUPLE 3 2022-11-23T01:37:55.3355869Z 36 RETURN_VALUE 2022-11-23T01:37:55.3355928Z 2022-11-23T01:37:55.3355933Z 2022-11-23T01:37:55.3356205Z [2022-11-23 01:35:03,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1231 2022-11-23T01:37:55.3356428Z [2022-11-23 01:35:03,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.3356799Z [2022-11-23 01:35:03,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TorchVariable()] 2022-11-23T01:37:55.3357128Z [2022-11-23 01:35:03,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:55.3357480Z [2022-11-23 01:35:03,750] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.3357866Z [2022-11-23 01:35:03,751] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3358211Z [2022-11-23 01:35:03,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.3358607Z [2022-11-23 01:35:03,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3358860Z [2022-11-23 01:35:03,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:37:55.3359294Z [2022-11-23 01:35:03,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.3359652Z [2022-11-23 01:35:03,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.3360034Z [2022-11-23 01:35:03,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.3360460Z [2022-11-23 01:35:03,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3360786Z [2022-11-23 01:35:03,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3361218Z [2022-11-23 01:35:03,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR softmax [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.3361598Z [2022-11-23 01:35:03,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.3362007Z [2022-11-23 01:35:03,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.3362465Z [2022-11-23 01:35:03,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3362766Z [2022-11-23 01:35:03,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3363016Z [2022-11-23 01:35:03,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.3363338Z [2022-11-23 01:35:03,762] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.3363585Z [2022-11-23 01:35:03,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.3363823Z [2022-11-23 01:35:03,762] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.3364087Z [2022-11-23 01:35:03,763] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.3364338Z [2022-11-23 01:35:03,773] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.3364535Z [2022-11-23 01:35:03,773] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.3364670Z __compiled_fn_372 .3046 opcode, name, target, args, kwargs 2022-11-23T01:37:55.3364760Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.3364833Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.3365015Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.3365252Z call_function, softmax, , (add, -1), {} 2022-11-23T01:37:55.3365494Z call_function, softmax_1, , (ex_0_, 0), {} 2022-11-23T01:37:55.3365731Z call_function, softmax_2, , (ex_1_, 1), {} 2022-11-23T01:37:55.3365857Z output, output, output, ((softmax, softmax_1, softmax_2),), {} 2022-11-23T01:37:55.3365863Z 2022-11-23T01:37:55.3366141Z [2022-11-23 01:35:03,773] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3366265Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.3366356Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3366437Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.3366525Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.3366600Z 8 RETURN_VALUE 2022-11-23T01:37:55.3366605Z 2022-11-23T01:37:55.3366665Z 2022-11-23T01:37:55.3366941Z [2022-11-23 01:35:03,774] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3367049Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_372) 2022-11-23T01:37:55.3367175Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3367253Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3367328Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.3367413Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3367502Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.3367578Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.3367665Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.3367771Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3367872Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3367948Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3368026Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.3368126Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3368215Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:55.3368292Z 28 BINARY_SUBSCR 2022-11-23T01:37:55.3368389Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3368475Z 32 LOAD_CONST 3 (2) 2022-11-23T01:37:55.3368536Z 34 BINARY_SUBSCR 2022-11-23T01:37:55.3368623Z 36 BUILD_TUPLE 3 2022-11-23T01:37:55.3368699Z 38 RETURN_VALUE 2022-11-23T01:37:55.3368705Z 2022-11-23T01:37:55.3368763Z 2022-11-23T01:37:55.3368948Z [2022-11-23 01:35:03,774] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.3369019Z - 2022-11-23T01:37:55.3369138Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.3369190Z { 2022-11-23T01:37:55.3369333Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.3369520Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.3369642Z 'obj_weakref': None 2022-11-23T01:37:55.3369868Z 'guarded_class': 2022-11-23T01:37:55.3369934Z } 2022-11-23T01:37:55.3369997Z 2022-11-23T01:37:55.3370055Z - 2022-11-23T01:37:55.3370181Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.3370245Z { 2022-11-23T01:37:55.3370392Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.3370502Z 'code': None, 2022-11-23T01:37:55.3370720Z 'obj_weakref': 2022-11-23T01:37:55.3370977Z 'guarded_class': 2022-11-23T01:37:55.3371029Z } 2022-11-23T01:37:55.3371090Z 2022-11-23T01:37:55.3371160Z - 2022-11-23T01:37:55.3371284Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.3371345Z { 2022-11-23T01:37:55.3371490Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.3371602Z 'code': None, 2022-11-23T01:37:55.3371801Z 'obj_weakref': 2022-11-23T01:37:55.3372053Z 'guarded_class': 2022-11-23T01:37:55.3372117Z } 2022-11-23T01:37:55.3372178Z 2022-11-23T01:37:55.3372281Z - 2022-11-23T01:37:55.3372414Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.3372476Z { 2022-11-23T01:37:55.3372600Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.3372770Z 'code': ['___check_obj_id(model, 140538744156672)'], 2022-11-23T01:37:55.3372890Z 'obj_weakref': None 2022-11-23T01:37:55.3373120Z 'guarded_class': 2022-11-23T01:37:55.3373187Z } 2022-11-23T01:37:55.3373248Z 2022-11-23T01:37:55.3373350Z - 2022-11-23T01:37:55.3373462Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.3373524Z { 2022-11-23T01:37:55.3373662Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.3373881Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.3374002Z 'obj_weakref': None 2022-11-23T01:37:55.3374227Z 'guarded_class': 2022-11-23T01:37:55.3374293Z } 2022-11-23T01:37:55.3374343Z 2022-11-23T01:37:55.3374415Z - 2022-11-23T01:37:55.3374552Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.3374618Z { 2022-11-23T01:37:55.3374741Z 'guard_types': None, 2022-11-23T01:37:55.3374853Z 'code': None, 2022-11-23T01:37:55.3374968Z 'obj_weakref': None 2022-11-23T01:37:55.3381236Z 'guarded_class': None 2022-11-23T01:37:55.3381347Z } 2022-11-23T01:37:55.3381413Z 2022-11-23T01:37:55.3381734Z [2022-11-23 01:35:03,793] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 364 2022-11-23T01:37:55.3381741Z 2022-11-23T01:37:55.3381825Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.3381898Z import torch 2022-11-23T01:37:55.3381970Z import random 2022-11-23T01:37:55.3382092Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.3382218Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.3382224Z 2022-11-23T01:37:55.3382303Z aten = torch.ops.aten 2022-11-23T01:37:55.3382439Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.3382519Z async_compile = AsyncCompile() 2022-11-23T01:37:55.3382538Z 2022-11-23T01:37:55.3382542Z 2022-11-23T01:37:55.3382669Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.3382879Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.3383000Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:37:55.3383102Z float* __restrict__ in_out_ptr1, 2022-11-23T01:37:55.3383202Z float* __restrict__ in_out_ptr2, 2022-11-23T01:37:55.3383308Z const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.3383414Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.3383515Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.3383598Z float* __restrict__ out_ptr1, 2022-11-23T01:37:55.3383693Z float* __restrict__ out_ptr2, 2022-11-23T01:37:55.3383786Z float* __restrict__ out_ptr6, 2022-11-23T01:37:55.3383880Z float* __restrict__ out_ptr7, 2022-11-23T01:37:55.3383970Z float* __restrict__ out_ptr8) 2022-11-23T01:37:55.3384032Z { 2022-11-23T01:37:55.3384119Z auto out_ptr3 = in_out_ptr0; 2022-11-23T01:37:55.3384192Z auto out_ptr4 = in_out_ptr1; 2022-11-23T01:37:55.3384273Z auto out_ptr5 = in_out_ptr2; 2022-11-23T01:37:55.3384349Z #pragma GCC ivdep 2022-11-23T01:37:55.3384430Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.3384492Z { 2022-11-23T01:37:55.3384555Z { 2022-11-23T01:37:55.3385058Z #pragma omp declare reduction(max:at::vec::Vectorized:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits::infinity()}}) 2022-11-23T01:37:55.3385285Z float tmp3 = -std::numeric_limits::infinity(); 2022-11-23T01:37:55.3385412Z auto tmp3_vec = at::vec::Vectorized(tmp3); 2022-11-23T01:37:55.3385618Z float tmp4 = -std::numeric_limits::infinity(); 2022-11-23T01:37:55.3385739Z auto tmp4_vec = at::vec::Vectorized(tmp4); 2022-11-23T01:37:55.3385825Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:37:55.3385890Z { 2022-11-23T01:37:55.3386081Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i0) + (8*i1)); 2022-11-23T01:37:55.3386222Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + (8*i0) + (8*i1)); 2022-11-23T01:37:55.3386299Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3386415Z tmp3_vec = at::vec::maximum(tmp3_vec, tmp2); 2022-11-23T01:37:55.3386531Z tmp4_vec = at::vec::maximum(tmp4_vec, tmp1); 2022-11-23T01:37:55.3386597Z } 2022-11-23T01:37:55.3386809Z tmp3 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return at::vec::maximum(x, y);}, tmp3_vec); 2022-11-23T01:37:55.3387024Z tmp4 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return at::vec::maximum(x, y);}, tmp4_vec); 2022-11-23T01:37:55.3387170Z #pragma omp simd simdlen(4) reduction(max:tmp3) reduction(max:tmp4) 2022-11-23T01:37:55.3387255Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:37:55.3387323Z { 2022-11-23T01:37:55.3387408Z auto tmp0 = in_ptr0[i1 + (8*i0)]; 2022-11-23T01:37:55.3387504Z auto tmp1 = in_ptr1[i1 + (8*i0)]; 2022-11-23T01:37:55.3387593Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3387691Z tmp3 = std::max(tmp3, tmp2); 2022-11-23T01:37:55.3387789Z tmp4 = std::max(tmp4, tmp1); 2022-11-23T01:37:55.3387855Z } 2022-11-23T01:37:55.3387935Z out_ptr0[i0] = tmp3; 2022-11-23T01:37:55.3388002Z out_ptr1[i0] = tmp4; 2022-11-23T01:37:55.3388065Z } 2022-11-23T01:37:55.3388213Z } 2022-11-23T01:37:55.3388299Z #pragma GCC ivdep 2022-11-23T01:37:55.3388380Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.3388445Z { 2022-11-23T01:37:55.3388509Z { 2022-11-23T01:37:55.3388559Z { 2022-11-23T01:37:55.3388778Z float tmp1 = -std::numeric_limits::infinity(); 2022-11-23T01:37:55.3388876Z for(long i1=0; i1<8; i1+=1) 2022-11-23T01:37:55.3388942Z { 2022-11-23T01:37:55.3389011Z { 2022-11-23T01:37:55.3389115Z auto tmp0 = in_ptr0[i0 + (8*i1)]; 2022-11-23T01:37:55.3389219Z tmp1 = std::max(tmp1, tmp0); 2022-11-23T01:37:55.3389275Z } 2022-11-23T01:37:55.3389342Z } 2022-11-23T01:37:55.3389424Z out_ptr2[i0] = tmp1; 2022-11-23T01:37:55.3389489Z } 2022-11-23T01:37:55.3389554Z } 2022-11-23T01:37:55.3389619Z } 2022-11-23T01:37:55.3389681Z #pragma GCC ivdep 2022-11-23T01:37:55.3389761Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.3389822Z { 2022-11-23T01:37:55.3389884Z { 2022-11-23T01:37:55.3390073Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:37:55.3390152Z float tmp12 = 0; 2022-11-23T01:37:55.3390275Z auto tmp12_vec = at::vec::Vectorized(tmp12); 2022-11-23T01:37:55.3390359Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:37:55.3390412Z { 2022-11-23T01:37:55.3390551Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i0) + (8*i1)); 2022-11-23T01:37:55.3390731Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + (8*i0) + (8*i1)); 2022-11-23T01:37:55.3390859Z auto tmp3 = at::vec::Vectorized(out_ptr0[i0]); 2022-11-23T01:37:55.3390992Z auto tmp6 = at::vec::Vectorized::loadu(out_ptr2 + 8*i1); 2022-11-23T01:37:55.3391119Z auto tmp9 = at::vec::Vectorized(out_ptr1[i0]); 2022-11-23T01:37:55.3391209Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3391345Z auto tmp4 = tmp2 - tmp3; 2022-11-23T01:37:55.3391418Z auto tmp5 = tmp4.exp(); 2022-11-23T01:37:55.3391552Z auto tmp7 = tmp0 - tmp6; 2022-11-23T01:37:55.3391671Z auto tmp8 = tmp7.exp(); 2022-11-23T01:37:55.3391805Z auto tmp10 = tmp1 - tmp9; 2022-11-23T01:37:55.3391894Z auto tmp11 = tmp10.exp(); 2022-11-23T01:37:55.3391997Z tmp5.store(out_ptr3 + (8*i0) + (8*i1)); 2022-11-23T01:37:55.3392101Z tmp8.store(out_ptr4 + (8*i0) + (8*i1)); 2022-11-23T01:37:55.3392194Z tmp11.store(out_ptr5 + (8*i0) + (8*i1)); 2022-11-23T01:37:55.3392277Z tmp12_vec += tmp5; 2022-11-23T01:37:55.3392343Z } 2022-11-23T01:37:55.3392543Z tmp12 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp12_vec); 2022-11-23T01:37:55.3392662Z #pragma omp simd simdlen(4) reduction(+:tmp12) 2022-11-23T01:37:55.3392750Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:37:55.3392813Z { 2022-11-23T01:37:55.3392909Z auto tmp0 = in_ptr0[i1 + (8*i0)]; 2022-11-23T01:37:55.3392995Z auto tmp1 = in_ptr1[i1 + (8*i0)]; 2022-11-23T01:37:55.3393084Z auto tmp3 = out_ptr0[i0]; 2022-11-23T01:37:55.3393171Z auto tmp6 = out_ptr2[i1]; 2022-11-23T01:37:55.3393259Z auto tmp9 = out_ptr1[i0]; 2022-11-23T01:37:55.3393346Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3393480Z auto tmp4 = tmp2 - tmp3; 2022-11-23T01:37:55.3393581Z auto tmp5 = std::exp(tmp4); 2022-11-23T01:37:55.3393699Z auto tmp7 = tmp0 - tmp6; 2022-11-23T01:37:55.3393796Z auto tmp8 = std::exp(tmp7); 2022-11-23T01:37:55.3393927Z auto tmp10 = tmp1 - tmp9; 2022-11-23T01:37:55.3394025Z auto tmp11 = std::exp(tmp10); 2022-11-23T01:37:55.3394114Z out_ptr3[i1 + (8*i0)] = tmp5; 2022-11-23T01:37:55.3394202Z out_ptr4[i1 + (8*i0)] = tmp8; 2022-11-23T01:37:55.3394292Z out_ptr5[i1 + (8*i0)] = tmp11; 2022-11-23T01:37:55.3394361Z tmp12 += tmp5; 2022-11-23T01:37:55.3394425Z } 2022-11-23T01:37:55.3394506Z out_ptr6[i0] = tmp12; 2022-11-23T01:37:55.3394569Z } 2022-11-23T01:37:55.3394630Z } 2022-11-23T01:37:55.3394707Z #pragma GCC ivdep 2022-11-23T01:37:55.3394786Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.3394835Z { 2022-11-23T01:37:55.3394903Z { 2022-11-23T01:37:55.3394968Z { 2022-11-23T01:37:55.3395044Z float tmp1 = 0; 2022-11-23T01:37:55.3395132Z for(long i1=0; i1<8; i1+=1) 2022-11-23T01:37:55.3395198Z { 2022-11-23T01:37:55.3395252Z { 2022-11-23T01:37:55.3395356Z auto tmp0 = out_ptr4[i0 + (8*i1)]; 2022-11-23T01:37:55.3395438Z tmp1 += tmp0; 2022-11-23T01:37:55.3395503Z } 2022-11-23T01:37:55.3395565Z } 2022-11-23T01:37:55.3395647Z out_ptr7[i0] = tmp1; 2022-11-23T01:37:55.3395714Z } 2022-11-23T01:37:55.3395763Z } 2022-11-23T01:37:55.3395823Z } 2022-11-23T01:37:55.3395897Z #pragma GCC ivdep 2022-11-23T01:37:55.3395977Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.3396038Z { 2022-11-23T01:37:55.3396099Z { 2022-11-23T01:37:55.3396317Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:37:55.3396385Z float tmp1 = 0; 2022-11-23T01:37:55.3396509Z auto tmp1_vec = at::vec::Vectorized(tmp1); 2022-11-23T01:37:55.3396593Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:37:55.3396656Z { 2022-11-23T01:37:55.3396798Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr5 + (8*i0) + (8*i1)); 2022-11-23T01:37:55.3396878Z tmp1_vec += tmp0; 2022-11-23T01:37:55.3396940Z } 2022-11-23T01:37:55.3397138Z tmp1 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp1_vec); 2022-11-23T01:37:55.3397280Z #pragma omp simd simdlen(4) reduction(+:tmp1) 2022-11-23T01:37:55.3397364Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:37:55.3397429Z { 2022-11-23T01:37:55.3397525Z auto tmp0 = out_ptr5[i1 + (8*i0)]; 2022-11-23T01:37:55.3397604Z tmp1 += tmp0; 2022-11-23T01:37:55.3397667Z } 2022-11-23T01:37:55.3397748Z out_ptr8[i0] = tmp1; 2022-11-23T01:37:55.3397799Z } 2022-11-23T01:37:55.3397861Z } 2022-11-23T01:37:55.3397936Z #pragma GCC ivdep 2022-11-23T01:37:55.3398015Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.3398076Z { 2022-11-23T01:37:55.3398157Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:37:55.3398206Z { 2022-11-23T01:37:55.3398348Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr3 + (8*i0) + (8*i1)); 2022-11-23T01:37:55.3398471Z auto tmp1 = at::vec::Vectorized(out_ptr6[i0]); 2022-11-23T01:37:55.3398559Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:55.3398662Z tmp2.store(in_out_ptr0 + (8*i0) + (8*i1)); 2022-11-23T01:37:55.3398724Z } 2022-11-23T01:37:55.3398813Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.3398894Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:37:55.3398944Z { 2022-11-23T01:37:55.3399043Z auto tmp0 = out_ptr3[i1 + (8*i0)]; 2022-11-23T01:37:55.3399128Z auto tmp1 = out_ptr6[i0]; 2022-11-23T01:37:55.3399212Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:55.3399304Z in_out_ptr0[i1 + (8*i0)] = tmp2; 2022-11-23T01:37:55.3399366Z } 2022-11-23T01:37:55.3399427Z } 2022-11-23T01:37:55.3399492Z #pragma GCC ivdep 2022-11-23T01:37:55.3399571Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.3399633Z { 2022-11-23T01:37:55.3399713Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:37:55.3399774Z { 2022-11-23T01:37:55.3399917Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr4 + (8*i0) + (8*i1)); 2022-11-23T01:37:55.3400052Z auto tmp1 = at::vec::Vectorized::loadu(out_ptr7 + 8*i1); 2022-11-23T01:37:55.3400124Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:55.3400226Z tmp2.store(in_out_ptr1 + (8*i0) + (8*i1)); 2022-11-23T01:37:55.3400288Z } 2022-11-23T01:37:55.3400379Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.3400460Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:37:55.3400523Z { 2022-11-23T01:37:55.3400617Z auto tmp0 = out_ptr4[i1 + (8*i0)]; 2022-11-23T01:37:55.3400690Z auto tmp1 = out_ptr7[i1]; 2022-11-23T01:37:55.3400773Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:55.3400864Z in_out_ptr1[i1 + (8*i0)] = tmp2; 2022-11-23T01:37:55.3400925Z } 2022-11-23T01:37:55.3400986Z } 2022-11-23T01:37:55.3401061Z #pragma GCC ivdep 2022-11-23T01:37:55.3401126Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.3401193Z { 2022-11-23T01:37:55.3401273Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:37:55.3401334Z { 2022-11-23T01:37:55.3401471Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr5 + (8*i0) + (8*i1)); 2022-11-23T01:37:55.3401596Z auto tmp1 = at::vec::Vectorized(out_ptr8[i0]); 2022-11-23T01:37:55.3401710Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:55.3401817Z tmp2.store(in_out_ptr2 + (8*i0) + (8*i1)); 2022-11-23T01:37:55.3401867Z } 2022-11-23T01:37:55.3401955Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.3402035Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:37:55.3402097Z { 2022-11-23T01:37:55.3402192Z auto tmp0 = out_ptr5[i1 + (8*i0)]; 2022-11-23T01:37:55.3402278Z auto tmp1 = out_ptr8[i0]; 2022-11-23T01:37:55.3402349Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:55.3402440Z in_out_ptr2[i1 + (8*i0)] = tmp2; 2022-11-23T01:37:55.3402504Z } 2022-11-23T01:37:55.3402602Z } 2022-11-23T01:37:55.3402664Z } 2022-11-23T01:37:55.3402751Z ''') 2022-11-23T01:37:55.3402759Z 2022-11-23T01:37:55.3402763Z 2022-11-23T01:37:55.3402855Z async_compile.wait(globals()) 2022-11-23T01:37:55.3402932Z del async_compile 2022-11-23T01:37:55.3402937Z 2022-11-23T01:37:55.3402996Z def call(args): 2022-11-23T01:37:55.3403072Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.3403147Z args.clear() 2022-11-23T01:37:55.3403349Z buf0 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3403549Z buf6 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3403743Z buf3 = empty_strided((1, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3403935Z buf1 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3404113Z buf4 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3404304Z buf7 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3404499Z buf2 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3404687Z buf5 = empty_strided((1, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3404877Z buf8 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3404965Z buf9 = buf1; del buf1 # reuse 2022-11-23T01:37:55.3405054Z buf10 = buf4; del buf4 # reuse 2022-11-23T01:37:55.3405138Z buf11 = buf7; del buf7 # reuse 2022-11-23T01:37:55.3405494Z kernel_cpp_0(c_void_p(buf9.data_ptr()), c_void_p(buf10.data_ptr()), c_void_p(buf11.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf8.data_ptr())) 2022-11-23T01:37:55.3405564Z del arg0_1 2022-11-23T01:37:55.3405629Z del arg1_1 2022-11-23T01:37:55.3405705Z return (buf9, buf10, buf11, ) 2022-11-23T01:37:55.3405721Z 2022-11-23T01:37:55.3405726Z 2022-11-23T01:37:55.3405790Z if __name__ == "__main__": 2022-11-23T01:37:55.3405905Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.3406027Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.3406228Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3406427Z arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3406543Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.3406920Z [2022-11-23 01:35:05,309] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/be/cberqn4ndejx3bmkmeh33wfwvexlrxl7scrc3fgzrt7fbwkviapq.py 2022-11-23T01:37:55.3407193Z [2022-11-23 01:35:05,309] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 364 2022-11-23T01:37:55.3407200Z 2022-11-23T01:37:55.3407255Z ok (1.568s) 2022-11-23T01:37:55.3407586Z test_softmax_one_kernel_cpu (__main__.CpuTests) ... [2022-11-23 01:35:05,317] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.3407859Z [2022-11-23 01:35:05,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.3408114Z [2022-11-23 01:35:05,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.3408374Z [2022-11-23 01:35:05,317] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.3408665Z [2022-11-23 01:35:05,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.3408991Z [2022-11-23 01:35:05,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.3409322Z [2022-11-23 01:35:05,318] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.3409466Z 2346 0 LOAD_CONST 1 (1) 2022-11-23T01:37:55.3409548Z 2 STORE_FAST 1 (dim) 2022-11-23T01:37:55.3409565Z 2022-11-23T01:37:55.3409647Z 2347 4 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.3409737Z 6 LOAD_ATTR 1 (amax) 2022-11-23T01:37:55.3409824Z 8 LOAD_FAST 0 (x) 2022-11-23T01:37:55.3409913Z 10 LOAD_FAST 1 (dim) 2022-11-23T01:37:55.3410002Z 12 LOAD_CONST 2 (True) 2022-11-23T01:37:55.3410161Z 14 LOAD_CONST 3 (('keepdim',)) 2022-11-23T01:37:55.3410254Z 16 CALL_FUNCTION_KW 3 2022-11-23T01:37:55.3410334Z 18 STORE_FAST 2 (x_max) 2022-11-23T01:37:55.3410339Z 2022-11-23T01:37:55.3410430Z 2348 20 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.3410528Z 22 LOAD_METHOD 2 (exp) 2022-11-23T01:37:55.3410621Z 24 LOAD_FAST 0 (x) 2022-11-23T01:37:55.3410713Z 26 LOAD_FAST 2 (x_max) 2022-11-23T01:37:55.3410798Z 28 BINARY_MULTIPLY 2022-11-23T01:37:55.3410888Z 30 CALL_METHOD 1 2022-11-23T01:37:55.3410983Z 32 STORE_FAST 3 (unnormalized) 2022-11-23T01:37:55.3411002Z 2022-11-23T01:37:55.3411091Z 2349 34 LOAD_FAST 3 (unnormalized) 2022-11-23T01:37:55.3411186Z 36 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.3411277Z 38 LOAD_ATTR 3 (sum) 2022-11-23T01:37:55.3411379Z 40 LOAD_FAST 3 (unnormalized) 2022-11-23T01:37:55.3411469Z 42 LOAD_FAST 1 (dim) 2022-11-23T01:37:55.3411564Z 44 LOAD_CONST 2 (True) 2022-11-23T01:37:55.3411721Z 46 LOAD_CONST 3 (('keepdim',)) 2022-11-23T01:37:55.3411804Z 48 CALL_FUNCTION_KW 3 2022-11-23T01:37:55.3411888Z 50 BINARY_TRUE_DIVIDE 2022-11-23T01:37:55.3411986Z 52 STORE_FAST 4 (result) 2022-11-23T01:37:55.3411990Z 2022-11-23T01:37:55.3412082Z 2350 54 LOAD_FAST 4 (result) 2022-11-23T01:37:55.3412161Z 56 RETURN_VALUE 2022-11-23T01:37:55.3412224Z 2022-11-23T01:37:55.3412230Z 2022-11-23T01:37:55.3412507Z [2022-11-23 01:35:05,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2346 2022-11-23T01:37:55.3412726Z [2022-11-23 01:35:05,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [] 2022-11-23T01:37:55.3412972Z [2022-11-23 01:35:05,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST dim [ConstantVariable(int)] 2022-11-23T01:37:55.3413242Z [2022-11-23 01:35:05,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2347 2022-11-23T01:37:55.3413469Z [2022-11-23 01:35:05,318] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.3413840Z [2022-11-23 01:35:05,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amax [TorchVariable()] 2022-11-23T01:37:55.3414193Z [2022-11-23 01:35:05,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:37:55.3414550Z [2022-11-23 01:35:05,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.3414945Z [2022-11-23 01:35:05,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3415423Z [2022-11-23 01:35:05,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)] 2022-11-23T01:37:55.3415907Z [2022-11-23 01:35:05,319] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)] 2022-11-23T01:37:55.3416158Z [2022-11-23 01:35:05,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST x_max [TensorVariable()] 2022-11-23T01:37:55.3416432Z [2022-11-23 01:35:05,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2348 2022-11-23T01:37:55.3416657Z [2022-11-23 01:35:05,320] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.3417011Z [2022-11-23 01:35:05,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR exp [TorchVariable()] 2022-11-23T01:37:55.3417337Z [2022-11-23 01:35:05,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:37:55.3417688Z [2022-11-23 01:35:05,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x_max [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.3418091Z [2022-11-23 01:35:05,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3418441Z [2022-11-23 01:35:05,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.3418705Z [2022-11-23 01:35:05,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST unnormalized [TensorVariable()] 2022-11-23T01:37:55.3419257Z [2022-11-23 01:35:05,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2349 2022-11-23T01:37:55.3419498Z [2022-11-23 01:35:05,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST unnormalized [] 2022-11-23T01:37:55.3419752Z [2022-11-23 01:35:05,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:37:55.3420151Z [2022-11-23 01:35:05,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.3420522Z [2022-11-23 01:35:05,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST unnormalized [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.3420887Z [2022-11-23 01:35:05,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST dim [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.3421314Z [2022-11-23 01:35:05,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3421861Z [2022-11-23 01:35:05,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)] 2022-11-23T01:37:55.3422372Z [2022-11-23 01:35:05,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)] 2022-11-23T01:37:55.3422664Z [2022-11-23 01:35:05,324] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3422956Z [2022-11-23 01:35:05,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST result [TensorVariable()] 2022-11-23T01:37:55.3423227Z [2022-11-23 01:35:05,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2350 2022-11-23T01:37:55.3423449Z [2022-11-23 01:35:05,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST result [] 2022-11-23T01:37:55.3423700Z [2022-11-23 01:35:05,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.3424036Z [2022-11-23 01:35:05,325] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.3424286Z [2022-11-23 01:35:05,325] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.3424524Z [2022-11-23 01:35:05,325] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.3424770Z [2022-11-23 01:35:05,327] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.3425023Z [2022-11-23 01:35:05,332] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.3425218Z [2022-11-23 01:35:05,332] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.3425354Z __compiled_fn_373 .3052 opcode, name, target, args, kwargs 2022-11-23T01:37:55.3425444Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.3425696Z call_function, amax, , (ex_0_, 1), {'keepdim': True} 2022-11-23T01:37:55.3425876Z call_function, mul, , (ex_0_, amax), {} 2022-11-23T01:37:55.3426097Z call_function, exp, , (mul,), {} 2022-11-23T01:37:55.3426331Z call_function, sum_1, , (exp, 1), {'keepdim': True} 2022-11-23T01:37:55.3426530Z call_function, truediv, , (exp, sum_1), {} 2022-11-23T01:37:55.3426631Z output, output, output, ((truediv,),), {} 2022-11-23T01:37:55.3426637Z 2022-11-23T01:37:55.3426920Z [2022-11-23 01:35:05,332] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3427017Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.3427107Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3427197Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.3427285Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.3427348Z 8 RETURN_VALUE 2022-11-23T01:37:55.3427365Z 2022-11-23T01:37:55.3427412Z 2022-11-23T01:37:55.3427686Z [2022-11-23 01:35:05,332] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3427796Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_373) 2022-11-23T01:37:55.3427885Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3427973Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3428048Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.3428214Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.3428369Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.3428448Z 12 RETURN_VALUE 2022-11-23T01:37:55.3428454Z 2022-11-23T01:37:55.3428514Z 2022-11-23T01:37:55.3428707Z [2022-11-23 01:35:05,333] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.3428780Z - 2022-11-23T01:37:55.3428902Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.3428968Z { 2022-11-23T01:37:55.3429100Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.3429290Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.3429413Z 'obj_weakref': None 2022-11-23T01:37:55.3429677Z 'guarded_class': 2022-11-23T01:37:55.3429742Z } 2022-11-23T01:37:55.3429805Z 2022-11-23T01:37:55.3429876Z - 2022-11-23T01:37:55.3429990Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.3430056Z { 2022-11-23T01:37:55.3430203Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.3430313Z 'code': None, 2022-11-23T01:37:55.3430532Z 'obj_weakref': 2022-11-23T01:37:55.3430787Z 'guarded_class': 2022-11-23T01:37:55.3430851Z } 2022-11-23T01:37:55.3430900Z 2022-11-23T01:37:55.3430972Z - 2022-11-23T01:37:55.3431104Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.3431169Z { 2022-11-23T01:37:55.3431308Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.3431480Z 'code': ['___check_obj_id(model, 140538745982128)'], 2022-11-23T01:37:55.3431600Z 'obj_weakref': None 2022-11-23T01:37:55.3431821Z 'guarded_class': 2022-11-23T01:37:55.3431887Z } 2022-11-23T01:37:55.3431953Z 2022-11-23T01:37:55.3432023Z - 2022-11-23T01:37:55.3432146Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.3432208Z { 2022-11-23T01:37:55.3432348Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.3432552Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.3432671Z 'obj_weakref': None 2022-11-23T01:37:55.3432894Z 'guarded_class': 2022-11-23T01:37:55.3432957Z } 2022-11-23T01:37:55.3433023Z 2022-11-23T01:37:55.3433090Z - 2022-11-23T01:37:55.3433225Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.3433276Z { 2022-11-23T01:37:55.3433396Z 'guard_types': None, 2022-11-23T01:37:55.3433505Z 'code': None, 2022-11-23T01:37:55.3433625Z 'obj_weakref': None 2022-11-23T01:37:55.3433751Z 'guarded_class': None 2022-11-23T01:37:55.3433813Z } 2022-11-23T01:37:55.3433874Z 2022-11-23T01:37:55.3434124Z [2022-11-23 01:35:05,342] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 365 2022-11-23T01:37:55.3434497Z [2022-11-23 01:35:06,789] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/g6/cg6cu2lruw3pqx2wexwhikpq6kwxi5uckwmzjipgfgum763jsw6q.py 2022-11-23T01:37:55.3434764Z [2022-11-23 01:35:06,790] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 365 2022-11-23T01:37:55.3434772Z 2022-11-23T01:37:55.3434866Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.3434934Z import torch 2022-11-23T01:37:55.3435002Z import random 2022-11-23T01:37:55.3435116Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.3435239Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.3435244Z 2022-11-23T01:37:55.3435309Z aten = torch.ops.aten 2022-11-23T01:37:55.3435471Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.3435566Z async_compile = AsyncCompile() 2022-11-23T01:37:55.3435570Z 2022-11-23T01:37:55.3435575Z 2022-11-23T01:37:55.3435712Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.3435915Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.3436031Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:37:55.3436136Z const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.3436236Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.3436352Z float* __restrict__ out_ptr2) 2022-11-23T01:37:55.3436413Z { 2022-11-23T01:37:55.3436498Z auto out_ptr1 = in_out_ptr0; 2022-11-23T01:37:55.3436574Z #pragma GCC ivdep 2022-11-23T01:37:55.3436653Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:37:55.3436713Z { 2022-11-23T01:37:55.3436762Z { 2022-11-23T01:37:55.3437147Z #pragma omp declare reduction(max:at::vec::Vectorized:omp_out = at::vec::maximum(omp_out, omp_in)) initializer(omp_priv={{-std::numeric_limits::infinity()}}) 2022-11-23T01:37:55.3437375Z float tmp1 = -std::numeric_limits::infinity(); 2022-11-23T01:37:55.3437497Z auto tmp1_vec = at::vec::Vectorized(tmp1); 2022-11-23T01:37:55.3437579Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:37:55.3437641Z { 2022-11-23T01:37:55.3437780Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (32*i0)); 2022-11-23T01:37:55.3437897Z tmp1_vec = at::vec::maximum(tmp1_vec, tmp0); 2022-11-23T01:37:55.3437961Z } 2022-11-23T01:37:55.3438161Z tmp1 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return at::vec::maximum(x, y);}, tmp1_vec); 2022-11-23T01:37:55.3438283Z #pragma omp simd simdlen(4) reduction(max:tmp1) 2022-11-23T01:37:55.3438368Z for(long i1=32; i1<32; i1+=1) 2022-11-23T01:37:55.3438431Z { 2022-11-23T01:37:55.3438527Z auto tmp0 = in_ptr0[i1 + (32*i0)]; 2022-11-23T01:37:55.3438622Z tmp1 = std::max(tmp1, tmp0); 2022-11-23T01:37:55.3438682Z } 2022-11-23T01:37:55.3438761Z out_ptr0[i0] = tmp1; 2022-11-23T01:37:55.3438810Z } 2022-11-23T01:37:55.3438870Z } 2022-11-23T01:37:55.3438945Z #pragma GCC ivdep 2022-11-23T01:37:55.3439023Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:37:55.3439083Z { 2022-11-23T01:37:55.3439147Z { 2022-11-23T01:37:55.3439320Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:37:55.3439396Z float tmp4 = 0; 2022-11-23T01:37:55.3439514Z auto tmp4_vec = at::vec::Vectorized(tmp4); 2022-11-23T01:37:55.3439597Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:37:55.3439661Z { 2022-11-23T01:37:55.3439801Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (32*i0)); 2022-11-23T01:37:55.3439928Z auto tmp1 = at::vec::Vectorized(out_ptr0[i0]); 2022-11-23T01:37:55.3440014Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.3440088Z auto tmp3 = tmp2.exp(); 2022-11-23T01:37:55.3440190Z tmp3.store(out_ptr1 + (8*i1) + (32*i0)); 2022-11-23T01:37:55.3440268Z tmp4_vec += tmp3; 2022-11-23T01:37:55.3440331Z } 2022-11-23T01:37:55.3440525Z tmp4 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp4_vec); 2022-11-23T01:37:55.3440644Z #pragma omp simd simdlen(4) reduction(+:tmp4) 2022-11-23T01:37:55.3440730Z for(long i1=32; i1<32; i1+=1) 2022-11-23T01:37:55.3440794Z { 2022-11-23T01:37:55.3440907Z auto tmp0 = in_ptr0[i1 + (32*i0)]; 2022-11-23T01:37:55.3440998Z auto tmp1 = out_ptr0[i0]; 2022-11-23T01:37:55.3441084Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.3441180Z auto tmp3 = std::exp(tmp2); 2022-11-23T01:37:55.3441270Z out_ptr1[i1 + (32*i0)] = tmp3; 2022-11-23T01:37:55.3441343Z tmp4 += tmp3; 2022-11-23T01:37:55.3441404Z } 2022-11-23T01:37:55.3441472Z out_ptr2[i0] = tmp4; 2022-11-23T01:37:55.3441532Z } 2022-11-23T01:37:55.3441596Z } 2022-11-23T01:37:55.3441670Z #pragma GCC ivdep 2022-11-23T01:37:55.3441748Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:37:55.3441836Z { 2022-11-23T01:37:55.3441905Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:37:55.3441965Z { 2022-11-23T01:37:55.3442108Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr1 + (8*i1) + (32*i0)); 2022-11-23T01:37:55.3442233Z auto tmp1 = at::vec::Vectorized(out_ptr2[i0]); 2022-11-23T01:37:55.3442321Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:55.3442425Z tmp2.store(in_out_ptr0 + (8*i1) + (32*i0)); 2022-11-23T01:37:55.3442486Z } 2022-11-23T01:37:55.3442575Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.3442644Z for(long i1=32; i1<32; i1+=1) 2022-11-23T01:37:55.3442705Z { 2022-11-23T01:37:55.3442799Z auto tmp0 = out_ptr1[i1 + (32*i0)]; 2022-11-23T01:37:55.3442881Z auto tmp1 = out_ptr2[i0]; 2022-11-23T01:37:55.3442962Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:55.3443052Z in_out_ptr0[i1 + (32*i0)] = tmp2; 2022-11-23T01:37:55.3443114Z } 2022-11-23T01:37:55.3443161Z } 2022-11-23T01:37:55.3443219Z } 2022-11-23T01:37:55.3443301Z ''') 2022-11-23T01:37:55.3443306Z 2022-11-23T01:37:55.3443311Z 2022-11-23T01:37:55.3443399Z async_compile.wait(globals()) 2022-11-23T01:37:55.3443471Z del async_compile 2022-11-23T01:37:55.3443476Z 2022-11-23T01:37:55.3443545Z def call(args): 2022-11-23T01:37:55.3443617Z arg0_1, = args 2022-11-23T01:37:55.3443676Z args.clear() 2022-11-23T01:37:55.3443877Z buf0 = empty_strided((16, 1), (1, 16), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3444080Z buf1 = empty_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3444277Z buf2 = empty_strided((16, 1), (1, 16), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3444362Z buf3 = buf1; del buf1 # reuse 2022-11-23T01:37:55.3444550Z kernel_cpp_0(c_void_p(buf3.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:37:55.3444620Z del arg0_1 2022-11-23T01:37:55.3444679Z return (buf3, ) 2022-11-23T01:37:55.3444696Z 2022-11-23T01:37:55.3444701Z 2022-11-23T01:37:55.3444763Z if __name__ == "__main__": 2022-11-23T01:37:55.3444875Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.3444997Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.3445201Z arg0_1 = rand_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3445308Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.3445313Z 2022-11-23T01:37:55.3445378Z ok (1.480s) 2022-11-23T01:37:55.3445683Z test_sort_cpu (__main__.CpuTests) ... [2022-11-23 01:35:06,797] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.3445957Z [2022-11-23 01:35:06,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.3446164Z [2022-11-23 01:35:06,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.3446422Z [2022-11-23 01:35:06,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.3446710Z [2022-11-23 01:35:06,797] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.3447066Z [2022-11-23 01:35:06,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.3447401Z [2022-11-23 01:35:06,798] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.3447499Z 3092 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.3447591Z 2 LOAD_METHOD 1 (sort) 2022-11-23T01:37:55.3447682Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.3447771Z 6 CALL_METHOD 1 2022-11-23T01:37:55.3447865Z 8 RETURN_VALUE 2022-11-23T01:37:55.3447925Z 2022-11-23T01:37:55.3447930Z 2022-11-23T01:37:55.3448206Z [2022-11-23 01:35:06,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3092 2022-11-23T01:37:55.3448432Z [2022-11-23 01:35:06,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.3448801Z [2022-11-23 01:35:06,798] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sort [TorchVariable()] 2022-11-23T01:37:55.3449124Z [2022-11-23 01:35:06,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:55.3449483Z [2022-11-23 01:35:06,799] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.3449745Z [2022-11-23 01:35:06,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()] 2022-11-23T01:37:55.3450082Z [2022-11-23 01:35:06,800] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.3450332Z [2022-11-23 01:35:06,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()] 2022-11-23T01:37:55.3450570Z [2022-11-23 01:35:06,800] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.3450825Z [2022-11-23 01:35:06,802] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.3451075Z [2022-11-23 01:35:06,805] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.3451266Z [2022-11-23 01:35:06,805] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.3451399Z __compiled_fn_374 .3058 opcode, name, target, args, kwargs 2022-11-23T01:37:55.3451491Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.3451716Z call_function, sort, , (ex_0_,), {} 2022-11-23T01:37:55.3451905Z call_function, getitem, , (sort, 0), {} 2022-11-23T01:37:55.3452087Z call_function, getitem_1, , (sort, 1), {} 2022-11-23T01:37:55.3452202Z output, output, output, ((getitem, getitem_1),), {} 2022-11-23T01:37:55.3452207Z 2022-11-23T01:37:55.3452489Z [2022-11-23 01:35:06,806] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3452583Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.3452673Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3452763Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.3452852Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.3452921Z 8 RETURN_VALUE 2022-11-23T01:37:55.3452937Z 2022-11-23T01:37:55.3452984Z 2022-11-23T01:37:55.3453258Z [2022-11-23 01:35:06,806] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3453367Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_374) 2022-11-23T01:37:55.3453484Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3453577Z 4 LOAD_CONST 2 (0) 2022-11-23T01:37:55.3453652Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.3453739Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.3453830Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3454025Z 12 LOAD_CONST 1 () 2022-11-23T01:37:55.3454126Z 14 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3454214Z 16 LOAD_CONST 2 (0) 2022-11-23T01:37:55.3454291Z 18 BINARY_SUBSCR 2022-11-23T01:37:55.3454436Z 20 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3454528Z 22 LOAD_CONST 3 (1) 2022-11-23T01:37:55.3454591Z 24 BINARY_SUBSCR 2022-11-23T01:37:55.3454681Z 26 BUILD_TUPLE 2 2022-11-23T01:37:55.3454770Z 28 CALL_FUNCTION 1 2022-11-23T01:37:55.3454848Z 30 RETURN_VALUE 2022-11-23T01:37:55.3454853Z 2022-11-23T01:37:55.3454914Z 2022-11-23T01:37:55.3455104Z [2022-11-23 01:35:06,807] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.3455178Z - 2022-11-23T01:37:55.3455288Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.3455361Z { 2022-11-23T01:37:55.3455507Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.3455700Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.3455824Z 'obj_weakref': None 2022-11-23T01:37:55.3456057Z 'guarded_class': 2022-11-23T01:37:55.3456124Z } 2022-11-23T01:37:55.3456187Z 2022-11-23T01:37:55.3456246Z - 2022-11-23T01:37:55.3456375Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.3456442Z { 2022-11-23T01:37:55.3456592Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.3456704Z 'code': None, 2022-11-23T01:37:55.3456920Z 'obj_weakref': 2022-11-23T01:37:55.3457176Z 'guarded_class': 2022-11-23T01:37:55.3457228Z } 2022-11-23T01:37:55.3457293Z 2022-11-23T01:37:55.3457367Z - 2022-11-23T01:37:55.3457501Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.3457569Z { 2022-11-23T01:37:55.3457708Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.3457872Z 'code': ['___check_obj_id(model, 140538747011728)'], 2022-11-23T01:37:55.3457995Z 'obj_weakref': None 2022-11-23T01:37:55.3458230Z 'guarded_class': 2022-11-23T01:37:55.3458295Z } 2022-11-23T01:37:55.3458358Z 2022-11-23T01:37:55.3458435Z - 2022-11-23T01:37:55.3458561Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.3458611Z { 2022-11-23T01:37:55.3458950Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.3459255Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.3459385Z 'obj_weakref': None 2022-11-23T01:37:55.3459610Z 'guarded_class': 2022-11-23T01:37:55.3459677Z } 2022-11-23T01:37:55.3459741Z 2022-11-23T01:37:55.3459804Z - 2022-11-23T01:37:55.3459942Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.3460008Z { 2022-11-23T01:37:55.3460130Z 'guard_types': None, 2022-11-23T01:37:55.3460242Z 'code': None, 2022-11-23T01:37:55.3460363Z 'obj_weakref': None 2022-11-23T01:37:55.3460489Z 'guarded_class': None 2022-11-23T01:37:55.3460600Z } 2022-11-23T01:37:55.3460667Z 2022-11-23T01:37:55.3460936Z [2022-11-23 01:35:06,812] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 366 2022-11-23T01:37:55.3461157Z [2022-11-23 01:35:06,814] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.sort 2022-11-23T01:37:55.3461531Z [2022-11-23 01:35:06,817] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3k/c3ks4se5ezthwctf3vtmdt7dxxmawfqebkdpul4iz4f5xm5adfwe.py 2022-11-23T01:37:55.3461799Z [2022-11-23 01:35:06,817] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 366 2022-11-23T01:37:55.3461849Z 2022-11-23T01:37:55.3461947Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.3462017Z import torch 2022-11-23T01:37:55.3462073Z import random 2022-11-23T01:37:55.3462190Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.3462310Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.3462318Z 2022-11-23T01:37:55.3462394Z aten = torch.ops.aten 2022-11-23T01:37:55.3462531Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.3462621Z async_compile = AsyncCompile() 2022-11-23T01:37:55.3462627Z 2022-11-23T01:37:55.3462631Z 2022-11-23T01:37:55.3462718Z async_compile.wait(globals()) 2022-11-23T01:37:55.3462789Z del async_compile 2022-11-23T01:37:55.3462794Z 2022-11-23T01:37:55.3462853Z def call(args): 2022-11-23T01:37:55.3462919Z arg0_1, = args 2022-11-23T01:37:55.3462988Z args.clear() 2022-11-23T01:37:55.3463068Z buf0 = aten.sort(arg0_1) 2022-11-23T01:37:55.3463138Z del arg0_1 2022-11-23T01:37:55.3463208Z buf1 = buf0[0] 2022-11-23T01:37:55.3463312Z assert_size_stride(buf1, (1, 1, 8, 8), (64, 64, 8, 1)) 2022-11-23T01:37:55.3463367Z buf2 = buf0[1] 2022-11-23T01:37:55.3463471Z assert_size_stride(buf2, (1, 1, 8, 8), (64, 64, 8, 1)) 2022-11-23T01:37:55.3463536Z del buf0 2022-11-23T01:37:55.3463613Z return (buf1, buf2, ) 2022-11-23T01:37:55.3463620Z 2022-11-23T01:37:55.3463624Z 2022-11-23T01:37:55.3463698Z if __name__ == "__main__": 2022-11-23T01:37:55.3463812Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.3463934Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.3464151Z arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3464248Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.3464252Z 2022-11-23T01:37:55.3464316Z ok (0.025s) 2022-11-23T01:37:55.3464620Z test_split_cpu (__main__.CpuTests) ... [2022-11-23 01:35:06,821] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.3464893Z [2022-11-23 01:35:06,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.3465113Z [2022-11-23 01:35:06,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.3465372Z [2022-11-23 01:35:06,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.3465660Z [2022-11-23 01:35:06,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.3465988Z [2022-11-23 01:35:06,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.3466314Z [2022-11-23 01:35:06,821] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.3466404Z 1706 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.3466496Z 2 LOAD_METHOD 1 (split) 2022-11-23T01:37:55.3466587Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.3466675Z 6 LOAD_CONST 1 (3) 2022-11-23T01:37:55.3466845Z 8 LOAD_CONST 2 (-1) 2022-11-23T01:37:55.3466939Z 10 CALL_METHOD 3 2022-11-23T01:37:55.3467028Z 12 STORE_FAST 1 (t) 2022-11-23T01:37:55.3467033Z 2022-11-23T01:37:55.3467120Z 1707 14 LOAD_FAST 1 (t) 2022-11-23T01:37:55.3467195Z 16 LOAD_CONST 3 (0) 2022-11-23T01:37:55.3467271Z 18 BINARY_SUBSCR 2022-11-23T01:37:55.3467357Z 20 LOAD_FAST 1 (t) 2022-11-23T01:37:55.3467442Z 22 LOAD_CONST 4 (1) 2022-11-23T01:37:55.3467516Z 24 BINARY_SUBSCR 2022-11-23T01:37:55.3467639Z 26 LOAD_FAST 1 (t) 2022-11-23T01:37:55.3467723Z 28 LOAD_CONST 5 (2) 2022-11-23T01:37:55.3467786Z 30 BINARY_SUBSCR 2022-11-23T01:37:55.3467870Z 32 LOAD_FAST 1 (t) 2022-11-23T01:37:55.3467953Z 34 LOAD_CONST 1 (3) 2022-11-23T01:37:55.3468030Z 36 BINARY_SUBSCR 2022-11-23T01:37:55.3468192Z 38 BUILD_TUPLE 4 2022-11-23T01:37:55.3468275Z 40 RETURN_VALUE 2022-11-23T01:37:55.3468336Z 2022-11-23T01:37:55.3468342Z 2022-11-23T01:37:55.3468604Z [2022-11-23 01:35:06,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1706 2022-11-23T01:37:55.3468828Z [2022-11-23 01:35:06,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.3469201Z [2022-11-23 01:35:06,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR split [TorchVariable()] 2022-11-23T01:37:55.3469496Z [2022-11-23 01:35:06,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:55.3469822Z [2022-11-23 01:35:06,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.3470181Z [2022-11-23 01:35:06,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3470581Z [2022-11-23 01:35:06,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.3470822Z [2022-11-23 01:35:06,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [TupleVariable()] 2022-11-23T01:37:55.3471097Z [2022-11-23 01:35:06,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1707 2022-11-23T01:37:55.3471311Z [2022-11-23 01:35:06,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [] 2022-11-23T01:37:55.3471538Z [2022-11-23 01:35:06,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TupleVariable()] 2022-11-23T01:37:55.3471827Z [2022-11-23 01:35:06,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3472067Z [2022-11-23 01:35:06,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable()] 2022-11-23T01:37:55.3472337Z [2022-11-23 01:35:06,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.3472652Z [2022-11-23 01:35:06,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3472923Z [2022-11-23 01:35:06,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3473218Z [2022-11-23 01:35:06,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.3473591Z [2022-11-23 01:35:06,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3473887Z [2022-11-23 01:35:06,826] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3474210Z [2022-11-23 01:35:06,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.3474579Z [2022-11-23 01:35:06,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3474921Z [2022-11-23 01:35:06,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3475169Z [2022-11-23 01:35:06,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.3475505Z [2022-11-23 01:35:06,827] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.3475753Z [2022-11-23 01:35:06,827] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.3475989Z [2022-11-23 01:35:06,827] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.3476243Z [2022-11-23 01:35:06,828] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.3476493Z [2022-11-23 01:35:06,833] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.3476688Z [2022-11-23 01:35:06,833] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.3476822Z __compiled_fn_375 .3064 opcode, name, target, args, kwargs 2022-11-23T01:37:55.3476898Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.3477106Z call_function, split, , (ex_0_, 3, -1), {} 2022-11-23T01:37:55.3477298Z call_function, getitem, , (split, 0), {} 2022-11-23T01:37:55.3477493Z call_function, getitem_1, , (split, 1), {} 2022-11-23T01:37:55.3477683Z call_function, getitem_2, , (split, 2), {} 2022-11-23T01:37:55.3477868Z call_function, getitem_3, , (split, 3), {} 2022-11-23T01:37:55.3478002Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3),), {} 2022-11-23T01:37:55.3478007Z 2022-11-23T01:37:55.3478286Z [2022-11-23 01:35:06,833] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3478370Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.3478459Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3478550Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.3478640Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.3478715Z 8 RETURN_VALUE 2022-11-23T01:37:55.3478720Z 2022-11-23T01:37:55.3478781Z 2022-11-23T01:37:55.3479057Z [2022-11-23 01:35:06,833] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3479164Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_375) 2022-11-23T01:37:55.3479242Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3479329Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3479404Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.3479493Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.3479595Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3479695Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3479782Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3479846Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.3479976Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3480065Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.3480139Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.3480239Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3480325Z 26 LOAD_CONST 3 (2) 2022-11-23T01:37:55.3480398Z 28 BINARY_SUBSCR 2022-11-23T01:37:55.3480484Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3480570Z 32 LOAD_CONST 4 (3) 2022-11-23T01:37:55.3480643Z 34 BINARY_SUBSCR 2022-11-23T01:37:55.3480774Z 36 BUILD_TUPLE 4 2022-11-23T01:37:55.3480848Z 38 RETURN_VALUE 2022-11-23T01:37:55.3480853Z 2022-11-23T01:37:55.3480912Z 2022-11-23T01:37:55.3481096Z [2022-11-23 01:35:06,834] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.3481167Z - 2022-11-23T01:37:55.3481275Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.3481341Z { 2022-11-23T01:37:55.3481484Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.3481673Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.3481795Z 'obj_weakref': None 2022-11-23T01:37:55.3482020Z 'guarded_class': 2022-11-23T01:37:55.3482084Z } 2022-11-23T01:37:55.3482133Z 2022-11-23T01:37:55.3482203Z - 2022-11-23T01:37:55.3482331Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.3482396Z { 2022-11-23T01:37:55.3482542Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.3482651Z 'code': None, 2022-11-23T01:37:55.3482864Z 'obj_weakref': 2022-11-23T01:37:55.3483107Z 'guarded_class': 2022-11-23T01:37:55.3483171Z } 2022-11-23T01:37:55.3483233Z 2022-11-23T01:37:55.3483302Z - 2022-11-23T01:37:55.3483432Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.3483495Z { 2022-11-23T01:37:55.3483619Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.3483789Z 'code': ['___check_obj_id(model, 140538741271296)'], 2022-11-23T01:37:55.3483908Z 'obj_weakref': None 2022-11-23T01:37:55.3484141Z 'guarded_class': 2022-11-23T01:37:55.3484206Z } 2022-11-23T01:37:55.3484268Z 2022-11-23T01:37:55.3484337Z - 2022-11-23T01:37:55.3484448Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.3484509Z { 2022-11-23T01:37:55.3484645Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.3484867Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.3484986Z 'obj_weakref': None 2022-11-23T01:37:55.3485207Z 'guarded_class': 2022-11-23T01:37:55.3485270Z } 2022-11-23T01:37:55.3485330Z 2022-11-23T01:37:55.3485388Z - 2022-11-23T01:37:55.3485521Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.3485583Z { 2022-11-23T01:37:55.3485704Z 'guard_types': None, 2022-11-23T01:37:55.3485812Z 'code': None, 2022-11-23T01:37:55.3485930Z 'obj_weakref': None 2022-11-23T01:37:55.3486043Z 'guarded_class': None 2022-11-23T01:37:55.3486106Z } 2022-11-23T01:37:55.3486168Z 2022-11-23T01:37:55.3486427Z [2022-11-23 01:35:06,841] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 367 2022-11-23T01:37:55.3486823Z [2022-11-23 01:35:06,844] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6c/c6c35spbl3r26i4haohomu7ikok6tym65y4ntemcmkuccbs3ifz6.py 2022-11-23T01:37:55.3487091Z [2022-11-23 01:35:06,844] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 367 2022-11-23T01:37:55.3487330Z [2022-11-23 01:35:06,847] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.3487600Z [2022-11-23 01:35:06,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.3487818Z [2022-11-23 01:35:06,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.3488091Z [2022-11-23 01:35:06,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.3488376Z [2022-11-23 01:35:06,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.3488702Z [2022-11-23 01:35:06,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.3489034Z [2022-11-23 01:35:06,848] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.3489130Z 1710 0 LOAD_DEREF 0 (fn) 2022-11-23T01:37:55.3489221Z 2 LOAD_FAST 0 (a) 2022-11-23T01:37:55.3489310Z 4 LOAD_CONST 1 (1) 2022-11-23T01:37:55.3489383Z 6 BINARY_ADD 2022-11-23T01:37:55.3489461Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.3489538Z 10 RETURN_VALUE 2022-11-23T01:37:55.3489598Z 2022-11-23T01:37:55.3489603Z 2022-11-23T01:37:55.3489870Z [2022-11-23 01:35:06,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1710 2022-11-23T01:37:55.3490089Z [2022-11-23 01:35:06,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF fn [] 2022-11-23T01:37:55.3490341Z [2022-11-23 01:35:06,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [UserFunctionVariable()] 2022-11-23T01:37:55.3490623Z [2022-11-23 01:35:06,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:37:55.3490948Z [2022-11-23 01:35:06,848] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [UserFunctionVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3491237Z [2022-11-23 01:35:06,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [UserFunctionVariable(), TensorVariable()] 2022-11-23T01:37:55.3491553Z [2022-11-23 01:35:06,849] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.3491651Z 1706 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.3491745Z 2 LOAD_METHOD 1 (split) 2022-11-23T01:37:55.3491836Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.3491924Z 6 LOAD_CONST 1 (3) 2022-11-23T01:37:55.3492066Z 8 LOAD_CONST 2 (-1) 2022-11-23T01:37:55.3492154Z 10 CALL_METHOD 3 2022-11-23T01:37:55.3492242Z 12 STORE_FAST 1 (t) 2022-11-23T01:37:55.3492247Z 2022-11-23T01:37:55.3492322Z 1707 14 LOAD_FAST 1 (t) 2022-11-23T01:37:55.3492407Z 16 LOAD_CONST 3 (0) 2022-11-23T01:37:55.3492483Z 18 BINARY_SUBSCR 2022-11-23T01:37:55.3492570Z 20 LOAD_FAST 1 (t) 2022-11-23T01:37:55.3492655Z 22 LOAD_CONST 4 (1) 2022-11-23T01:37:55.3492730Z 24 BINARY_SUBSCR 2022-11-23T01:37:55.3492818Z 26 LOAD_FAST 1 (t) 2022-11-23T01:37:55.3492889Z 28 LOAD_CONST 5 (2) 2022-11-23T01:37:55.3492993Z 30 BINARY_SUBSCR 2022-11-23T01:37:55.3493080Z 32 LOAD_FAST 1 (t) 2022-11-23T01:37:55.3493166Z 34 LOAD_CONST 1 (3) 2022-11-23T01:37:55.3493242Z 36 BINARY_SUBSCR 2022-11-23T01:37:55.3493331Z 38 BUILD_TUPLE 4 2022-11-23T01:37:55.3493405Z 40 RETURN_VALUE 2022-11-23T01:37:55.3493453Z 2022-11-23T01:37:55.3493457Z 2022-11-23T01:37:55.3493729Z [2022-11-23 01:35:06,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1706 2022-11-23T01:37:55.3493950Z [2022-11-23 01:35:06,849] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.3494352Z [2022-11-23 01:35:06,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR split [TorchVariable()] 2022-11-23T01:37:55.3494645Z [2022-11-23 01:35:06,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:55.3494963Z [2022-11-23 01:35:06,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.3495316Z [2022-11-23 01:35:06,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3495711Z [2022-11-23 01:35:06,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.3495954Z [2022-11-23 01:35:06,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [TupleVariable()] 2022-11-23T01:37:55.3496223Z [2022-11-23 01:35:06,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1707 2022-11-23T01:37:55.3496424Z [2022-11-23 01:35:06,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [] 2022-11-23T01:37:55.3496663Z [2022-11-23 01:35:06,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TupleVariable()] 2022-11-23T01:37:55.3496951Z [2022-11-23 01:35:06,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3497187Z [2022-11-23 01:35:06,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable()] 2022-11-23T01:37:55.3497454Z [2022-11-23 01:35:06,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.3497772Z [2022-11-23 01:35:06,853] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3498041Z [2022-11-23 01:35:06,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3498335Z [2022-11-23 01:35:06,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.3498681Z [2022-11-23 01:35:06,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3499257Z [2022-11-23 01:35:06,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3499585Z [2022-11-23 01:35:06,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable()] 2022-11-23T01:37:55.3499948Z [2022-11-23 01:35:06,854] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_SUBSCR None [TensorVariable(), TensorVariable(), TensorVariable(), TupleVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3500330Z [2022-11-23 01:35:06,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3500585Z [2022-11-23 01:35:06,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.3500922Z [2022-11-23 01:35:06,856] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.3501170Z [2022-11-23 01:35:06,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.3501508Z [2022-11-23 01:35:06,856] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.3501811Z [2022-11-23 01:35:06,856] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.3502053Z [2022-11-23 01:35:06,856] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.3502314Z [2022-11-23 01:35:06,858] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.3502568Z [2022-11-23 01:35:06,863] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.3502747Z [2022-11-23 01:35:06,863] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.3502885Z __compiled_fn_376 .3070 opcode, name, target, args, kwargs 2022-11-23T01:37:55.3502973Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.3503151Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:55.3503357Z call_function, split, , (add, 3, -1), {} 2022-11-23T01:37:55.3503551Z call_function, getitem, , (split, 0), {} 2022-11-23T01:37:55.3503747Z call_function, getitem_1, , (split, 1), {} 2022-11-23T01:37:55.3503936Z call_function, getitem_2, , (split, 2), {} 2022-11-23T01:37:55.3504111Z call_function, getitem_3, , (split, 3), {} 2022-11-23T01:37:55.3504249Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3),), {} 2022-11-23T01:37:55.3504255Z 2022-11-23T01:37:55.3504538Z [2022-11-23 01:35:06,863] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3504635Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.3504728Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3504825Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.3504917Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.3504999Z 8 RETURN_VALUE 2022-11-23T01:37:55.3505005Z 2022-11-23T01:37:55.3505052Z 2022-11-23T01:37:55.3505333Z [2022-11-23 01:35:06,863] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3505443Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_376) 2022-11-23T01:37:55.3505537Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3505628Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3505708Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.3505799Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.3505890Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3506018Z 12 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:55.3506116Z 14 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:55.3506205Z 16 CALL_FUNCTION 0 2022-11-23T01:37:55.3506305Z 18 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:55.3506408Z 20 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3506499Z 22 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3506577Z 24 BINARY_SUBSCR 2022-11-23T01:37:55.3506665Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3506793Z 28 LOAD_CONST 2 (1) 2022-11-23T01:37:55.3506874Z 30 BINARY_SUBSCR 2022-11-23T01:37:55.3506976Z 32 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3507065Z 34 LOAD_CONST 3 (2) 2022-11-23T01:37:55.3507141Z 36 BINARY_SUBSCR 2022-11-23T01:37:55.3507243Z 38 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3507319Z 40 LOAD_CONST 4 (3) 2022-11-23T01:37:55.3507394Z 42 BINARY_SUBSCR 2022-11-23T01:37:55.3507484Z 44 BUILD_TUPLE 4 2022-11-23T01:37:55.3507609Z 46 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.3507710Z 48 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.3507802Z 50 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3507877Z 52 BINARY_SUBSCR 2022-11-23T01:37:55.3507968Z 54 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:55.3508059Z 56 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.3508231Z 58 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.3508324Z 60 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3508401Z 62 BINARY_SUBSCR 2022-11-23T01:37:55.3508501Z 64 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:55.3508576Z 66 RETURN_VALUE 2022-11-23T01:37:55.3508581Z 2022-11-23T01:37:55.3508628Z 2022-11-23T01:37:55.3508823Z [2022-11-23 01:35:06,864] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.3508900Z - 2022-11-23T01:37:55.3509023Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.3509087Z { 2022-11-23T01:37:55.3509232Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.3509423Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.3509531Z 'obj_weakref': None 2022-11-23T01:37:55.3509763Z 'guarded_class': 2022-11-23T01:37:55.3509830Z } 2022-11-23T01:37:55.3509894Z 2022-11-23T01:37:55.3509967Z - 2022-11-23T01:37:55.3510096Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.3510159Z { 2022-11-23T01:37:55.3510289Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.3510396Z 'code': None, 2022-11-23T01:37:55.3510613Z 'obj_weakref': 2022-11-23T01:37:55.3510870Z 'guarded_class': 2022-11-23T01:37:55.3510933Z } 2022-11-23T01:37:55.3510994Z 2022-11-23T01:37:55.3511064Z - 2022-11-23T01:37:55.3511184Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.3511246Z { 2022-11-23T01:37:55.3511384Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.3511556Z 'code': ['___check_obj_id(model, 140538741270000)'], 2022-11-23T01:37:55.3511677Z 'obj_weakref': None 2022-11-23T01:37:55.3511915Z 'guarded_class': 2022-11-23T01:37:55.3511977Z } 2022-11-23T01:37:55.3512027Z 2022-11-23T01:37:55.3512096Z - 2022-11-23T01:37:55.3512220Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.3512284Z { 2022-11-23T01:37:55.3512421Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.3512645Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.3512767Z 'obj_weakref': None 2022-11-23T01:37:55.3512977Z 'guarded_class': 2022-11-23T01:37:55.3513041Z } 2022-11-23T01:37:55.3513102Z 2022-11-23T01:37:55.3513210Z - 2022-11-23T01:37:55.3513398Z local 'model.__closure__[0].cell_contents' FUNCTION_MATCH 2022-11-23T01:37:55.3513462Z { 2022-11-23T01:37:55.3513598Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.3513801Z 'code': ['___check_obj_id(model.__closure__[0].cell_contents, 140538741271296)'], 2022-11-23T01:37:55.3513921Z 'obj_weakref': None 2022-11-23T01:37:55.3514151Z 'guarded_class': 2022-11-23T01:37:55.3514213Z } 2022-11-23T01:37:55.3514307Z 2022-11-23T01:37:55.3514377Z - 2022-11-23T01:37:55.3514514Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.3514564Z { 2022-11-23T01:37:55.3514684Z 'guard_types': None, 2022-11-23T01:37:55.3514791Z 'code': None, 2022-11-23T01:37:55.3514910Z 'obj_weakref': None 2022-11-23T01:37:55.3515034Z 'guarded_class': None 2022-11-23T01:37:55.3515097Z } 2022-11-23T01:37:55.3515156Z 2022-11-23T01:37:55.3515406Z [2022-11-23 01:35:06,872] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 368 2022-11-23T01:37:55.3515772Z [2022-11-23 01:35:08,411] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/g7/cg7xc53fu7hwjw6xdscts5q6qy36w7t3jatv2a2munppgd4gs52q.py 2022-11-23T01:37:55.3516042Z [2022-11-23 01:35:08,412] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 368 2022-11-23T01:37:55.3516050Z 2022-11-23T01:37:55.3516143Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.3516210Z import torch 2022-11-23T01:37:55.3516278Z import random 2022-11-23T01:37:55.3516392Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.3516511Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.3516516Z 2022-11-23T01:37:55.3516581Z aten = torch.ops.aten 2022-11-23T01:37:55.3516715Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.3516807Z async_compile = AsyncCompile() 2022-11-23T01:37:55.3516812Z 2022-11-23T01:37:55.3516817Z 2022-11-23T01:37:55.3516904Z async_compile.wait(globals()) 2022-11-23T01:37:55.3516975Z del async_compile 2022-11-23T01:37:55.3516980Z 2022-11-23T01:37:55.3517048Z def call(args): 2022-11-23T01:37:55.3517115Z arg0_1, = args 2022-11-23T01:37:55.3517185Z args.clear() 2022-11-23T01:37:55.3517369Z return (as_strided(arg0_1, (2, 2, 3), (20, 10, 1)), as_strided(arg0_1, (2, 2, 3), (20, 10, 1), 3), as_strided(arg0_1, (2, 2, 3), (20, 10, 1), 6), as_strided(arg0_1, (2, 2, 1), (20, 10, 1), 9), ) 2022-11-23T01:37:55.3517388Z 2022-11-23T01:37:55.3517392Z 2022-11-23T01:37:55.3517455Z if __name__ == "__main__": 2022-11-23T01:37:55.3517566Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.3517686Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.3517897Z arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3518005Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.3518009Z 2022-11-23T01:37:55.3518013Z 2022-11-23T01:37:55.3518106Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.3518174Z import torch 2022-11-23T01:37:55.3518241Z import random 2022-11-23T01:37:55.3518342Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.3518459Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.3518464Z 2022-11-23T01:37:55.3518542Z aten = torch.ops.aten 2022-11-23T01:37:55.3518676Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.3518765Z async_compile = AsyncCompile() 2022-11-23T01:37:55.3518770Z 2022-11-23T01:37:55.3518773Z 2022-11-23T01:37:55.3518910Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.3519113Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.3519269Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.3519359Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.3519420Z { 2022-11-23T01:37:55.3519499Z for(long i0=0; i0<5; i0+=1) 2022-11-23T01:37:55.3519559Z { 2022-11-23T01:37:55.3519700Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.3519833Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:55.3519915Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3519990Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.3520082Z } 2022-11-23T01:37:55.3520169Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.3520249Z for(long i0=40; i0<40; i0+=1) 2022-11-23T01:37:55.3520308Z { 2022-11-23T01:37:55.3520387Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.3520485Z auto tmp1 = static_cast(1); 2022-11-23T01:37:55.3520555Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3520634Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.3520695Z } 2022-11-23T01:37:55.3520753Z } 2022-11-23T01:37:55.3520833Z ''') 2022-11-23T01:37:55.3520838Z 2022-11-23T01:37:55.3520842Z 2022-11-23T01:37:55.3520930Z async_compile.wait(globals()) 2022-11-23T01:37:55.3521002Z del async_compile 2022-11-23T01:37:55.3521007Z 2022-11-23T01:37:55.3521064Z def call(args): 2022-11-23T01:37:55.3521132Z arg0_1, = args 2022-11-23T01:37:55.3521200Z args.clear() 2022-11-23T01:37:55.3521413Z buf0 = empty_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3521547Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.3521618Z del arg0_1 2022-11-23T01:37:55.3521806Z return (as_strided(buf0, (2, 2, 3), (20, 10, 1)), as_strided(buf0, (2, 2, 3), (20, 10, 1), 3), as_strided(buf0, (2, 2, 3), (20, 10, 1), 6), as_strided(buf0, (2, 2, 1), (20, 10, 0), 9), ) 2022-11-23T01:37:55.3521811Z 2022-11-23T01:37:55.3521816Z 2022-11-23T01:37:55.3521894Z if __name__ == "__main__": 2022-11-23T01:37:55.3521996Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.3522116Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.3522325Z arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3522430Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.3522434Z 2022-11-23T01:37:55.3522499Z ok (1.597s) 2022-11-23T01:37:55.3522819Z test_split_with_sizes_cpu (__main__.CpuTests) ... [2022-11-23 01:35:08,420] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.3523094Z [2022-11-23 01:35:08,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.3523314Z [2022-11-23 01:35:08,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.3523572Z [2022-11-23 01:35:08,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.3523849Z [2022-11-23 01:35:08,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.3524173Z [2022-11-23 01:35:08,420] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.3524505Z [2022-11-23 01:35:08,420] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.3524688Z 1698 0 LOAD_CONST 1 ( at 0x7fd2371891e0, file "inductor/test_torchinductor.py", line 1698>) 2022-11-23T01:37:55.3524945Z 2 LOAD_CONST 2 ('CommonTemplate.test_split_with_sizes..fn..') 2022-11-23T01:37:55.3525037Z 4 MAKE_FUNCTION 0 2022-11-23T01:37:55.3525169Z 6 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.3525265Z 8 LOAD_METHOD 1 (split) 2022-11-23T01:37:55.3525354Z 10 LOAD_FAST 0 (a) 2022-11-23T01:37:55.3525432Z 12 LOAD_CONST 3 (2.0) 2022-11-23T01:37:55.3525512Z 14 BINARY_MULTIPLY 2022-11-23T01:37:55.3525605Z 16 LOAD_FAST 1 (sizes) 2022-11-23T01:37:55.3525745Z 18 LOAD_CONST 4 (-1) 2022-11-23T01:37:55.3525832Z 20 CALL_METHOD 3 2022-11-23T01:37:55.3525901Z 22 GET_ITER 2022-11-23T01:37:55.3526055Z 24 CALL_FUNCTION 1 2022-11-23T01:37:55.3526119Z 26 RETURN_VALUE 2022-11-23T01:37:55.3526180Z 2022-11-23T01:37:55.3526185Z 2022-11-23T01:37:55.3526458Z [2022-11-23 01:35:08,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1698 2022-11-23T01:37:55.3526821Z [2022-11-23 01:35:08,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST at 0x7fd2371891e0, file "inductor/test_torchinductor.py", line 1698> [] 2022-11-23T01:37:55.3527181Z [2022-11-23 01:35:08,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST CommonTemplate.test_split_with_sizes..fn.. [ConstantVariable(code)] 2022-11-23T01:37:55.3527475Z [2022-11-23 01:35:08,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 0 [ConstantVariable(code), ConstantVariable(str)] 2022-11-23T01:37:55.3527756Z [2022-11-23 01:35:08,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [NestedUserFunctionVariable()] 2022-11-23T01:37:55.3528188Z [2022-11-23 01:35:08,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR split [NestedUserFunctionVariable(), TorchVariable()] 2022-11-23T01:37:55.3528536Z [2022-11-23 01:35:08,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [NestedUserFunctionVariable(), TorchVariable()] 2022-11-23T01:37:55.3528911Z [2022-11-23 01:35:08,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [NestedUserFunctionVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.3529333Z [2022-11-23 01:35:08,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [NestedUserFunctionVariable(), TorchVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:37:55.3529710Z [2022-11-23 01:35:08,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sizes [NestedUserFunctionVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.3530117Z [2022-11-23 01:35:08,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [NestedUserFunctionVariable(), TorchVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.3530559Z [2022-11-23 01:35:08,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [NestedUserFunctionVariable(), TorchVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3530858Z [2022-11-23 01:35:08,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.3531176Z [2022-11-23 01:35:08,426] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.3531519Z [2022-11-23 01:35:08,427] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd2371891e0, file "inductor/test_torchinductor.py", line 1698> 2022-11-23T01:37:55.3531611Z 1698 0 BUILD_LIST 0 2022-11-23T01:37:55.3531703Z 2 LOAD_FAST 0 (.0) 2022-11-23T01:37:55.3531795Z >> 4 FOR_ITER 12 (to 18) 2022-11-23T01:37:55.3531913Z 6 STORE_FAST 1 (t) 2022-11-23T01:37:55.3531993Z 8 LOAD_FAST 1 (t) 2022-11-23T01:37:55.3532084Z 10 LOAD_CONST 0 (1.0) 2022-11-23T01:37:55.3532157Z 12 BINARY_ADD 2022-11-23T01:37:55.3532248Z 14 LIST_APPEND 2 2022-11-23T01:37:55.3532338Z 16 JUMP_ABSOLUTE 4 2022-11-23T01:37:55.3532413Z >> 18 RETURN_VALUE 2022-11-23T01:37:55.3532472Z 2022-11-23T01:37:55.3532478Z 2022-11-23T01:37:55.3532681Z [2022-11-23 01:35:08,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [] 2022-11-23T01:37:55.3532949Z [2022-11-23 01:35:08,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()] 2022-11-23T01:37:55.3533225Z [2022-11-23 01:35:08,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.3533533Z [2022-11-23 01:35:08,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.3533808Z [2022-11-23 01:35:08,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.3534117Z [2022-11-23 01:35:08,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.3534467Z [2022-11-23 01:35:08,427] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:37:55.3534777Z [2022-11-23 01:35:08,428] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.3535066Z [2022-11-23 01:35:08,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.3535344Z [2022-11-23 01:35:08,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.3535636Z [2022-11-23 01:35:08,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.3535910Z [2022-11-23 01:35:08,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.3536219Z [2022-11-23 01:35:08,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.3536569Z [2022-11-23 01:35:08,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:37:55.3536880Z [2022-11-23 01:35:08,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.3537165Z [2022-11-23 01:35:08,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.3537440Z [2022-11-23 01:35:08,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.3537745Z [2022-11-23 01:35:08,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.3538020Z [2022-11-23 01:35:08,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.3538326Z [2022-11-23 01:35:08,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.3538681Z [2022-11-23 01:35:08,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:37:55.3539299Z [2022-11-23 01:35:08,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.3539601Z [2022-11-23 01:35:08,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.3539880Z [2022-11-23 01:35:08,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.3540128Z [2022-11-23 01:35:08,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()] 2022-11-23T01:37:55.3540476Z [2022-11-23 01:35:08,431] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd2371891e0, file "inductor/test_torchinductor.py", line 1698> 2022-11-23T01:37:55.3540766Z [2022-11-23 01:35:08,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()] 2022-11-23T01:37:55.3541099Z [2022-11-23 01:35:08,431] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.3541344Z [2022-11-23 01:35:08,432] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()] 2022-11-23T01:37:55.3541584Z [2022-11-23 01:35:08,432] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.3541840Z [2022-11-23 01:35:08,433] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.3542079Z [2022-11-23 01:35:08,439] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.3542272Z [2022-11-23 01:35:08,440] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.3542409Z __compiled_fn_377 .3076 opcode, name, target, args, kwargs 2022-11-23T01:37:55.3542501Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.3542680Z call_function, mul, , (ex_0_, 2.0), {} 2022-11-23T01:37:55.3542897Z call_function, split, , (mul, [3, 3, 4], -1), {} 2022-11-23T01:37:55.3543090Z call_function, getitem, , (split, 0), {} 2022-11-23T01:37:55.3543282Z call_function, getitem_1, , (split, 1), {} 2022-11-23T01:37:55.3543458Z call_function, getitem_2, , (split, 2), {} 2022-11-23T01:37:55.3543640Z call_function, add, , (getitem, 1.0), {} 2022-11-23T01:37:55.3543828Z call_function, add_1, , (getitem_1, 1.0), {} 2022-11-23T01:37:55.3544011Z call_function, add_2, , (getitem_2, 1.0), {} 2022-11-23T01:37:55.3544122Z output, output, output, ((add, add_1, add_2),), {} 2022-11-23T01:37:55.3544128Z 2022-11-23T01:37:55.3544406Z [2022-11-23 01:35:08,440] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3544497Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.3544587Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3544668Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.3544758Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.3544833Z 8 RETURN_VALUE 2022-11-23T01:37:55.3544839Z 2022-11-23T01:37:55.3544898Z 2022-11-23T01:37:55.3545172Z [2022-11-23 01:35:08,440] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3545279Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_377) 2022-11-23T01:37:55.3545368Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3545449Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3545525Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.3545612Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.3545714Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3545813Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3545932Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3546008Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.3546110Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3546184Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.3546257Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.3546360Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3546449Z 26 LOAD_CONST 3 (2) 2022-11-23T01:37:55.3546525Z 28 BINARY_SUBSCR 2022-11-23T01:37:55.3546612Z 30 BUILD_LIST 3 2022-11-23T01:37:55.3546730Z 32 RETURN_VALUE 2022-11-23T01:37:55.3546736Z 2022-11-23T01:37:55.3546783Z 2022-11-23T01:37:55.3546973Z [2022-11-23 01:35:08,442] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.3547047Z - 2022-11-23T01:37:55.3547171Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.3547237Z { 2022-11-23T01:37:55.3547386Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.3547579Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.3547688Z 'obj_weakref': None 2022-11-23T01:37:55.3547915Z 'guarded_class': 2022-11-23T01:37:55.3547982Z } 2022-11-23T01:37:55.3548049Z 2022-11-23T01:37:55.3548218Z - 2022-11-23T01:37:55.3548358Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.3548424Z { 2022-11-23T01:37:55.3548558Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.3548671Z 'code': None, 2022-11-23T01:37:55.3548891Z 'obj_weakref': 2022-11-23T01:37:55.3549154Z 'guarded_class': 2022-11-23T01:37:55.3549220Z } 2022-11-23T01:37:55.3549285Z 2022-11-23T01:37:55.3549359Z - 2022-11-23T01:37:55.3549471Z local 'ex[1]' EQUALS_MATCH 2022-11-23T01:37:55.3549536Z { 2022-11-23T01:37:55.3549710Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:37:55.3550103Z 'code': ['___check_type_id(ex[1], 93851402555296)', 'len(ex[1]) == 3', '___check_type_id(ex[1][0], 93851402553120)', '___check_type_id(ex[1][1], 93851402553120)', '___check_type_id(ex[1][2], 93851402553120)', 'ex[1] == [3, 3, 4]'], 2022-11-23T01:37:55.3550227Z 'obj_weakref': None 2022-11-23T01:37:55.3550458Z 'guarded_class': 2022-11-23T01:37:55.3550525Z } 2022-11-23T01:37:55.3550589Z 2022-11-23T01:37:55.3550647Z - 2022-11-23T01:37:55.3550782Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.3550847Z { 2022-11-23T01:37:55.3550986Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.3551163Z 'code': ['___check_obj_id(model, 140538738628800)'], 2022-11-23T01:37:55.3551288Z 'obj_weakref': None 2022-11-23T01:37:55.3551508Z 'guarded_class': 2022-11-23T01:37:55.3551573Z } 2022-11-23T01:37:55.3551637Z 2022-11-23T01:37:55.3551709Z - 2022-11-23T01:37:55.3551835Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.3551899Z { 2022-11-23T01:37:55.3552041Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.3552251Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.3552373Z 'obj_weakref': None 2022-11-23T01:37:55.3552594Z 'guarded_class': 2022-11-23T01:37:55.3552658Z } 2022-11-23T01:37:55.3552721Z 2022-11-23T01:37:55.3552832Z - 2022-11-23T01:37:55.3552976Z local 'ex[1][0]' CONSTANT_MATCH 2022-11-23T01:37:55.3553027Z { 2022-11-23T01:37:55.3553171Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.3553363Z 'code': ['___check_type_id(ex[1][0], 93851402553120)', 'ex[1][0] == 3'], 2022-11-23T01:37:55.3553486Z 'obj_weakref': None 2022-11-23T01:37:55.3553714Z 'guarded_class': 2022-11-23T01:37:55.3553776Z } 2022-11-23T01:37:55.3553838Z 2022-11-23T01:37:55.3553933Z - 2022-11-23T01:37:55.3554071Z local 'ex[1][1]' CONSTANT_MATCH 2022-11-23T01:37:55.3554133Z { 2022-11-23T01:37:55.3554276Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.3554471Z 'code': ['___check_type_id(ex[1][1], 93851402553120)', 'ex[1][1] == 3'], 2022-11-23T01:37:55.3554591Z 'obj_weakref': None 2022-11-23T01:37:55.3554813Z 'guarded_class': 2022-11-23T01:37:55.3554865Z } 2022-11-23T01:37:55.3554925Z 2022-11-23T01:37:55.3554994Z - 2022-11-23T01:37:55.3555132Z local 'ex[1][2]' CONSTANT_MATCH 2022-11-23T01:37:55.3555194Z { 2022-11-23T01:37:55.3555340Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.3555534Z 'code': ['___check_type_id(ex[1][2], 93851402553120)', 'ex[1][2] == 4'], 2022-11-23T01:37:55.3555643Z 'obj_weakref': None 2022-11-23T01:37:55.3555867Z 'guarded_class': 2022-11-23T01:37:55.3555929Z } 2022-11-23T01:37:55.3555992Z 2022-11-23T01:37:55.3556062Z - 2022-11-23T01:37:55.3556194Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.3556255Z { 2022-11-23T01:37:55.3556364Z 'guard_types': None, 2022-11-23T01:37:55.3556473Z 'code': None, 2022-11-23T01:37:55.3556594Z 'obj_weakref': None 2022-11-23T01:37:55.3556717Z 'guarded_class': None 2022-11-23T01:37:55.3556779Z } 2022-11-23T01:37:55.3556840Z 2022-11-23T01:37:55.3557101Z [2022-11-23 01:35:08,452] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 369 2022-11-23T01:37:55.3557457Z [2022-11-23 01:35:10,005] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cj/ccje3sd4eflqi7t5y4wvv5vnpq76jbw455td5vlqihyb3g3m7c7z.py 2022-11-23T01:37:55.3557726Z [2022-11-23 01:35:10,005] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 369 2022-11-23T01:37:55.3557966Z [2022-11-23 01:35:10,012] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.3558242Z [2022-11-23 01:35:10,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.3558462Z [2022-11-23 01:35:10,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.3558720Z [2022-11-23 01:35:10,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.3559007Z [2022-11-23 01:35:10,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.3559333Z [2022-11-23 01:35:10,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.3559664Z [2022-11-23 01:35:10,012] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.3559848Z 1698 0 LOAD_CONST 1 ( at 0x7fd2371891e0, file "inductor/test_torchinductor.py", line 1698>) 2022-11-23T01:37:55.3560122Z 2 LOAD_CONST 2 ('CommonTemplate.test_split_with_sizes..fn..') 2022-11-23T01:37:55.3560215Z 4 MAKE_FUNCTION 0 2022-11-23T01:37:55.3560308Z 6 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.3560401Z 8 LOAD_METHOD 1 (split) 2022-11-23T01:37:55.3560493Z 10 LOAD_FAST 0 (a) 2022-11-23T01:37:55.3560583Z 12 LOAD_CONST 3 (2.0) 2022-11-23T01:37:55.3560665Z 14 BINARY_MULTIPLY 2022-11-23T01:37:55.3560755Z 16 LOAD_FAST 1 (sizes) 2022-11-23T01:37:55.3560912Z 18 LOAD_CONST 4 (-1) 2022-11-23T01:37:55.3560999Z 20 CALL_METHOD 3 2022-11-23T01:37:55.3561070Z 22 GET_ITER 2022-11-23T01:37:55.3561159Z 24 CALL_FUNCTION 1 2022-11-23T01:37:55.3561235Z 26 RETURN_VALUE 2022-11-23T01:37:55.3561294Z 2022-11-23T01:37:55.3561299Z 2022-11-23T01:37:55.3561573Z [2022-11-23 01:35:10,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1698 2022-11-23T01:37:55.3561913Z [2022-11-23 01:35:10,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST at 0x7fd2371891e0, file "inductor/test_torchinductor.py", line 1698> [] 2022-11-23T01:37:55.3562269Z [2022-11-23 01:35:10,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST CommonTemplate.test_split_with_sizes..fn.. [ConstantVariable(code)] 2022-11-23T01:37:55.3562561Z [2022-11-23 01:35:10,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 0 [ConstantVariable(code), ConstantVariable(str)] 2022-11-23T01:37:55.3562841Z [2022-11-23 01:35:10,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [NestedUserFunctionVariable()] 2022-11-23T01:37:55.3563276Z [2022-11-23 01:35:10,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR split [NestedUserFunctionVariable(), TorchVariable()] 2022-11-23T01:37:55.3563622Z [2022-11-23 01:35:10,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [NestedUserFunctionVariable(), TorchVariable()] 2022-11-23T01:37:55.3564001Z [2022-11-23 01:35:10,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [NestedUserFunctionVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.3564439Z [2022-11-23 01:35:10,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [NestedUserFunctionVariable(), TorchVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:37:55.3564824Z [2022-11-23 01:35:10,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sizes [NestedUserFunctionVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.3565229Z [2022-11-23 01:35:10,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [NestedUserFunctionVariable(), TorchVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.3565678Z [2022-11-23 01:35:10,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [NestedUserFunctionVariable(), TorchVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3565980Z [2022-11-23 01:35:10,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.3566300Z [2022-11-23 01:35:10,018] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.3566628Z [2022-11-23 01:35:10,018] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd2371891e0, file "inductor/test_torchinductor.py", line 1698> 2022-11-23T01:37:55.3566750Z 1698 0 BUILD_LIST 0 2022-11-23T01:37:55.3566843Z 2 LOAD_FAST 0 (.0) 2022-11-23T01:37:55.3566935Z >> 4 FOR_ITER 12 (to 18) 2022-11-23T01:37:55.3567024Z 6 STORE_FAST 1 (t) 2022-11-23T01:37:55.3567111Z 8 LOAD_FAST 1 (t) 2022-11-23T01:37:55.3567202Z 10 LOAD_CONST 0 (1.0) 2022-11-23T01:37:55.3567276Z 12 BINARY_ADD 2022-11-23T01:37:55.3567355Z 14 LIST_APPEND 2 2022-11-23T01:37:55.3567445Z 16 JUMP_ABSOLUTE 4 2022-11-23T01:37:55.3567553Z >> 18 RETURN_VALUE 2022-11-23T01:37:55.3567614Z 2022-11-23T01:37:55.3567619Z 2022-11-23T01:37:55.3567835Z [2022-11-23 01:35:10,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [] 2022-11-23T01:37:55.3568074Z [2022-11-23 01:35:10,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()] 2022-11-23T01:37:55.3568353Z [2022-11-23 01:35:10,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.3568662Z [2022-11-23 01:35:10,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.3568927Z [2022-11-23 01:35:10,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.3569236Z [2022-11-23 01:35:10,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.3569594Z [2022-11-23 01:35:10,019] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:37:55.3569905Z [2022-11-23 01:35:10,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.3570192Z [2022-11-23 01:35:10,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.3570470Z [2022-11-23 01:35:10,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.3570777Z [2022-11-23 01:35:10,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.3571051Z [2022-11-23 01:35:10,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.3571364Z [2022-11-23 01:35:10,020] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.3571714Z [2022-11-23 01:35:10,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:37:55.3572024Z [2022-11-23 01:35:10,021] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.3572295Z [2022-11-23 01:35:10,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.3572570Z [2022-11-23 01:35:10,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.3572875Z [2022-11-23 01:35:10,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.3573151Z [2022-11-23 01:35:10,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.3573459Z [2022-11-23 01:35:10,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.3573839Z [2022-11-23 01:35:10,022] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:37:55.3574151Z [2022-11-23 01:35:10,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.3574434Z [2022-11-23 01:35:10,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.3574709Z [2022-11-23 01:35:10,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.3574985Z [2022-11-23 01:35:10,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()] 2022-11-23T01:37:55.3575325Z [2022-11-23 01:35:10,023] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd2371891e0, file "inductor/test_torchinductor.py", line 1698> 2022-11-23T01:37:55.3575572Z [2022-11-23 01:35:10,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()] 2022-11-23T01:37:55.3575901Z [2022-11-23 01:35:10,023] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.3576146Z [2022-11-23 01:35:10,023] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()] 2022-11-23T01:37:55.3576383Z [2022-11-23 01:35:10,023] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.3576641Z [2022-11-23 01:35:10,025] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.3576898Z [2022-11-23 01:35:10,031] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.3577090Z [2022-11-23 01:35:10,031] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.3577225Z __compiled_fn_378 .3082 opcode, name, target, args, kwargs 2022-11-23T01:37:55.3577304Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.3577482Z call_function, mul, , (ex_0_, 2.0), {} 2022-11-23T01:37:55.3577695Z call_function, split, , (mul, [4, 3, 3], -1), {} 2022-11-23T01:37:55.3577889Z call_function, getitem, , (split, 0), {} 2022-11-23T01:37:55.3578084Z call_function, getitem_1, , (split, 1), {} 2022-11-23T01:37:55.3578276Z call_function, getitem_2, , (split, 2), {} 2022-11-23T01:37:55.3578457Z call_function, add, , (getitem, 1.0), {} 2022-11-23T01:37:55.3578648Z call_function, add_1, , (getitem_1, 1.0), {} 2022-11-23T01:37:55.3579029Z call_function, add_2, , (getitem_2, 1.0), {} 2022-11-23T01:37:55.3579198Z output, output, output, ((add, add_1, add_2),), {} 2022-11-23T01:37:55.3579206Z 2022-11-23T01:37:55.3579505Z [2022-11-23 01:35:10,032] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3579599Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.3579690Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3579782Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.3579874Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.3579951Z 8 RETURN_VALUE 2022-11-23T01:37:55.3579956Z 2022-11-23T01:37:55.3580003Z 2022-11-23T01:37:55.3580279Z [2022-11-23 01:35:10,032] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3580390Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_378) 2022-11-23T01:37:55.3580480Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3580569Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3580646Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.3580790Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.3580884Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3580986Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3581074Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3581151Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.3581251Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3581338Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.3581413Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.3581512Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3581629Z 26 LOAD_CONST 3 (2) 2022-11-23T01:37:55.3581705Z 28 BINARY_SUBSCR 2022-11-23T01:37:55.3581789Z 30 BUILD_LIST 3 2022-11-23T01:37:55.3581863Z 32 RETURN_VALUE 2022-11-23T01:37:55.3581868Z 2022-11-23T01:37:55.3581927Z 2022-11-23T01:37:55.3582117Z [2022-11-23 01:35:10,033] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.3582190Z - 2022-11-23T01:37:55.3582299Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.3582363Z { 2022-11-23T01:37:55.3582506Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.3582695Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.3582816Z 'obj_weakref': None 2022-11-23T01:37:55.3583044Z 'guarded_class': 2022-11-23T01:37:55.3583108Z } 2022-11-23T01:37:55.3583162Z 2022-11-23T01:37:55.3583231Z - 2022-11-23T01:37:55.3583361Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.3583425Z { 2022-11-23T01:37:55.3583571Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.3583681Z 'code': None, 2022-11-23T01:37:55.3583898Z 'obj_weakref': 2022-11-23T01:37:55.3584142Z 'guarded_class': 2022-11-23T01:37:55.3584209Z } 2022-11-23T01:37:55.3584272Z 2022-11-23T01:37:55.3584343Z - 2022-11-23T01:37:55.3584467Z local 'ex[1]' EQUALS_MATCH 2022-11-23T01:37:55.3584529Z { 2022-11-23T01:37:55.3584701Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:37:55.3585080Z 'code': ['___check_type_id(ex[1], 93851402555296)', 'len(ex[1]) == 3', '___check_type_id(ex[1][0], 93851402553120)', '___check_type_id(ex[1][1], 93851402553120)', '___check_type_id(ex[1][2], 93851402553120)', 'ex[1] == [4, 3, 3]'], 2022-11-23T01:37:55.3585204Z 'obj_weakref': None 2022-11-23T01:37:55.3585424Z 'guarded_class': 2022-11-23T01:37:55.3585489Z } 2022-11-23T01:37:55.3585551Z 2022-11-23T01:37:55.3585621Z - 2022-11-23T01:37:55.3585756Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.3585807Z { 2022-11-23T01:37:55.3585942Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.3586111Z 'code': ['___check_obj_id(model, 140538738628800)'], 2022-11-23T01:37:55.3586231Z 'obj_weakref': None 2022-11-23T01:37:55.3586464Z 'guarded_class': 2022-11-23T01:37:55.3586526Z } 2022-11-23T01:37:55.3586588Z 2022-11-23T01:37:55.3586650Z - 2022-11-23T01:37:55.3586772Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.3586836Z { 2022-11-23T01:37:55.3586974Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.3587190Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.3587309Z 'obj_weakref': None 2022-11-23T01:37:55.3587559Z 'guarded_class': 2022-11-23T01:37:55.3587624Z } 2022-11-23T01:37:55.3587674Z 2022-11-23T01:37:55.3587746Z - 2022-11-23T01:37:55.3587885Z local 'ex[1][0]' CONSTANT_MATCH 2022-11-23T01:37:55.3587949Z { 2022-11-23T01:37:55.3588092Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.3588370Z 'code': ['___check_type_id(ex[1][0], 93851402553120)', 'ex[1][0] == 4'], 2022-11-23T01:37:55.3588478Z 'obj_weakref': None 2022-11-23T01:37:55.3588740Z 'guarded_class': 2022-11-23T01:37:55.3588805Z } 2022-11-23T01:37:55.3588870Z 2022-11-23T01:37:55.3588941Z - 2022-11-23T01:37:55.3589078Z local 'ex[1][1]' CONSTANT_MATCH 2022-11-23T01:37:55.3589142Z { 2022-11-23T01:37:55.3589276Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.3589471Z 'code': ['___check_type_id(ex[1][1], 93851402553120)', 'ex[1][1] == 3'], 2022-11-23T01:37:55.3589592Z 'obj_weakref': None 2022-11-23T01:37:55.3589815Z 'guarded_class': 2022-11-23T01:37:55.3589881Z } 2022-11-23T01:37:55.3589943Z 2022-11-23T01:37:55.3590012Z - 2022-11-23T01:37:55.3590137Z local 'ex[1][2]' CONSTANT_MATCH 2022-11-23T01:37:55.3590199Z { 2022-11-23T01:37:55.3590342Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.3590537Z 'code': ['___check_type_id(ex[1][2], 93851402553120)', 'ex[1][2] == 3'], 2022-11-23T01:37:55.3590659Z 'obj_weakref': None 2022-11-23T01:37:55.3590882Z 'guarded_class': 2022-11-23T01:37:55.3590944Z } 2022-11-23T01:37:55.3590995Z 2022-11-23T01:37:55.3591065Z - 2022-11-23T01:37:55.3591199Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.3591263Z { 2022-11-23T01:37:55.3591384Z 'guard_types': None, 2022-11-23T01:37:55.3591492Z 'code': None, 2022-11-23T01:37:55.3591611Z 'obj_weakref': None 2022-11-23T01:37:55.3591721Z 'guarded_class': None 2022-11-23T01:37:55.3591783Z } 2022-11-23T01:37:55.3591845Z 2022-11-23T01:37:55.3592109Z [2022-11-23 01:35:10,044] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 370 2022-11-23T01:37:55.3592478Z [2022-11-23 01:35:11,596] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/32/c32qnk2lm6qpcpmpbnyg47zabvge3qxvv3mz2s52x6og27x344wt.py 2022-11-23T01:37:55.3592745Z [2022-11-23 01:35:11,597] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 370 2022-11-23T01:37:55.3592989Z [2022-11-23 01:35:11,603] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.3593267Z [2022-11-23 01:35:11,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.3593476Z [2022-11-23 01:35:11,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.3593735Z [2022-11-23 01:35:11,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.3594022Z [2022-11-23 01:35:11,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.3594352Z [2022-11-23 01:35:11,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.3594680Z [2022-11-23 01:35:11,603] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.3594896Z 1698 0 LOAD_CONST 1 ( at 0x7fd2371891e0, file "inductor/test_torchinductor.py", line 1698>) 2022-11-23T01:37:55.3595155Z 2 LOAD_CONST 2 ('CommonTemplate.test_split_with_sizes..fn..') 2022-11-23T01:37:55.3595250Z 4 MAKE_FUNCTION 0 2022-11-23T01:37:55.3595346Z 6 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.3595440Z 8 LOAD_METHOD 1 (split) 2022-11-23T01:37:55.3595517Z 10 LOAD_FAST 0 (a) 2022-11-23T01:37:55.3595657Z 12 LOAD_CONST 3 (2.0) 2022-11-23T01:37:55.3595740Z 14 BINARY_MULTIPLY 2022-11-23T01:37:55.3595834Z 16 LOAD_FAST 1 (sizes) 2022-11-23T01:37:55.3595975Z 18 LOAD_CONST 4 (-1) 2022-11-23T01:37:55.3596065Z 20 CALL_METHOD 3 2022-11-23T01:37:55.3596140Z 22 GET_ITER 2022-11-23T01:37:55.3596219Z 24 CALL_FUNCTION 1 2022-11-23T01:37:55.3596296Z 26 RETURN_VALUE 2022-11-23T01:37:55.3596359Z 2022-11-23T01:37:55.3596366Z 2022-11-23T01:37:55.3596639Z [2022-11-23 01:35:11,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1698 2022-11-23T01:37:55.3596995Z [2022-11-23 01:35:11,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST at 0x7fd2371891e0, file "inductor/test_torchinductor.py", line 1698> [] 2022-11-23T01:37:55.3597354Z [2022-11-23 01:35:11,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST CommonTemplate.test_split_with_sizes..fn.. [ConstantVariable(code)] 2022-11-23T01:37:55.3597654Z [2022-11-23 01:35:11,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE MAKE_FUNCTION 0 [ConstantVariable(code), ConstantVariable(str)] 2022-11-23T01:37:55.3597935Z [2022-11-23 01:35:11,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [NestedUserFunctionVariable()] 2022-11-23T01:37:55.3598362Z [2022-11-23 01:35:11,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR split [NestedUserFunctionVariable(), TorchVariable()] 2022-11-23T01:37:55.3598699Z [2022-11-23 01:35:11,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [NestedUserFunctionVariable(), TorchVariable()] 2022-11-23T01:37:55.3599083Z [2022-11-23 01:35:11,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [NestedUserFunctionVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.3599522Z [2022-11-23 01:35:11,605] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [NestedUserFunctionVariable(), TorchVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:37:55.3599904Z [2022-11-23 01:35:11,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sizes [NestedUserFunctionVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.3600310Z [2022-11-23 01:35:11,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [NestedUserFunctionVariable(), TorchVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.3600754Z [2022-11-23 01:35:11,606] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [NestedUserFunctionVariable(), TorchVariable(), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3601057Z [2022-11-23 01:35:11,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE GET_ITER None [NestedUserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.3601375Z [2022-11-23 01:35:11,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [NestedUserFunctionVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.3601752Z [2022-11-23 01:35:11,610] torch._dynamo.symbolic_convert: [DEBUG] INLINING at 0x7fd2371891e0, file "inductor/test_torchinductor.py", line 1698> 2022-11-23T01:37:55.3601846Z 1698 0 BUILD_LIST 0 2022-11-23T01:37:55.3601940Z 2 LOAD_FAST 0 (.0) 2022-11-23T01:37:55.3602029Z >> 4 FOR_ITER 12 (to 18) 2022-11-23T01:37:55.3602106Z 6 STORE_FAST 1 (t) 2022-11-23T01:37:55.3602199Z 8 LOAD_FAST 1 (t) 2022-11-23T01:37:55.3602292Z 10 LOAD_CONST 0 (1.0) 2022-11-23T01:37:55.3602398Z 12 BINARY_ADD 2022-11-23T01:37:55.3602492Z 14 LIST_APPEND 2 2022-11-23T01:37:55.3602585Z 16 JUMP_ABSOLUTE 4 2022-11-23T01:37:55.3602664Z >> 18 RETURN_VALUE 2022-11-23T01:37:55.3602713Z 2022-11-23T01:37:55.3602718Z 2022-11-23T01:37:55.3602938Z [2022-11-23 01:35:11,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [] 2022-11-23T01:37:55.3603180Z [2022-11-23 01:35:11,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST .0 [ListVariable()] 2022-11-23T01:37:55.3603461Z [2022-11-23 01:35:11,610] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.3603771Z [2022-11-23 01:35:11,611] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.3604047Z [2022-11-23 01:35:11,611] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.3604365Z [2022-11-23 01:35:11,611] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.3604720Z [2022-11-23 01:35:11,611] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:37:55.3605033Z [2022-11-23 01:35:11,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.3605316Z [2022-11-23 01:35:11,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.3605578Z [2022-11-23 01:35:11,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.3605884Z [2022-11-23 01:35:11,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.3606160Z [2022-11-23 01:35:11,612] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.3606469Z [2022-11-23 01:35:11,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.3606822Z [2022-11-23 01:35:11,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:37:55.3607130Z [2022-11-23 01:35:11,613] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.3607413Z [2022-11-23 01:35:11,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.3607686Z [2022-11-23 01:35:11,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.3607993Z [2022-11-23 01:35:11,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.3608265Z [2022-11-23 01:35:11,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.3608591Z [2022-11-23 01:35:11,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.3608945Z [2022-11-23 01:35:11,614] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:37:55.3609252Z [2022-11-23 01:35:11,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.3609534Z [2022-11-23 01:35:11,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.3609843Z [2022-11-23 01:35:11,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.3610147Z [2022-11-23 01:35:11,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.3610421Z [2022-11-23 01:35:11,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.3610727Z [2022-11-23 01:35:11,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.3611076Z [2022-11-23 01:35:11,615] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ListVariable(), ListIteratorVariable(), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:37:55.3611383Z [2022-11-23 01:35:11,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE LIST_APPEND 2 [ListVariable(), ListIteratorVariable(), TensorVariable()] 2022-11-23T01:37:55.3611665Z [2022-11-23 01:35:11,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE JUMP_ABSOLUTE 4 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.3611924Z [2022-11-23 01:35:11,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE FOR_ITER 18 [ListVariable(), ListIteratorVariable()] 2022-11-23T01:37:55.3612171Z [2022-11-23 01:35:11,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()] 2022-11-23T01:37:55.3612518Z [2022-11-23 01:35:11,616] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING at 0x7fd2371891e0, file "inductor/test_torchinductor.py", line 1698> 2022-11-23T01:37:55.3612759Z [2022-11-23 01:35:11,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()] 2022-11-23T01:37:55.3613089Z [2022-11-23 01:35:11,616] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.3613334Z [2022-11-23 01:35:11,616] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [ListVariable()] 2022-11-23T01:37:55.3613568Z [2022-11-23 01:35:11,616] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.3613827Z [2022-11-23 01:35:11,618] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.3614082Z [2022-11-23 01:35:11,626] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.3614272Z [2022-11-23 01:35:11,626] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.3614394Z __compiled_fn_379 .3088 opcode, name, target, args, kwargs 2022-11-23T01:37:55.3614482Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.3614658Z call_function, mul, , (ex_0_, 2.0), {} 2022-11-23T01:37:55.3614872Z call_function, split, , (mul, [1, 2, 3, 4], -1), {} 2022-11-23T01:37:55.3615066Z call_function, getitem, , (split, 0), {} 2022-11-23T01:37:55.3615259Z call_function, getitem_1, , (split, 1), {} 2022-11-23T01:37:55.3615448Z call_function, getitem_2, , (split, 2), {} 2022-11-23T01:37:55.3615652Z call_function, getitem_3, , (split, 3), {} 2022-11-23T01:37:55.3615836Z call_function, add, , (getitem, 1.0), {} 2022-11-23T01:37:55.3616024Z call_function, add_1, , (getitem_1, 1.0), {} 2022-11-23T01:37:55.3616209Z call_function, add_2, , (getitem_2, 1.0), {} 2022-11-23T01:37:55.3616390Z call_function, add_3, , (getitem_3, 1.0), {} 2022-11-23T01:37:55.3616505Z output, output, output, ((add, add_1, add_2, add_3),), {} 2022-11-23T01:37:55.3616512Z 2022-11-23T01:37:55.3616792Z [2022-11-23 01:35:11,626] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3616917Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.3616996Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3617087Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.3617176Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.3617255Z 8 RETURN_VALUE 2022-11-23T01:37:55.3617260Z 2022-11-23T01:37:55.3617321Z 2022-11-23T01:37:55.3617598Z [2022-11-23 01:35:11,627] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3617705Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_379) 2022-11-23T01:37:55.3617794Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3617872Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3617946Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.3618033Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.3618138Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3618239Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3618325Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3618399Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.3618487Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3618576Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.3618648Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.3618899Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3619039Z 26 LOAD_CONST 3 (2) 2022-11-23T01:37:55.3619159Z 28 BINARY_SUBSCR 2022-11-23T01:37:55.3619266Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3619340Z 32 LOAD_CONST 4 (3) 2022-11-23T01:37:55.3619416Z 34 BINARY_SUBSCR 2022-11-23T01:37:55.3619501Z 36 BUILD_LIST 4 2022-11-23T01:37:55.3619578Z 38 RETURN_VALUE 2022-11-23T01:37:55.3619584Z 2022-11-23T01:37:55.3619644Z 2022-11-23T01:37:55.3619834Z [2022-11-23 01:35:11,628] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.3619907Z - 2022-11-23T01:37:55.3620028Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.3620080Z { 2022-11-23T01:37:55.3620224Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.3620415Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.3620540Z 'obj_weakref': None 2022-11-23T01:37:55.3620770Z 'guarded_class': 2022-11-23T01:37:55.3620835Z } 2022-11-23T01:37:55.3620896Z 2022-11-23T01:37:55.3620953Z - 2022-11-23T01:37:55.3621079Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.3621144Z { 2022-11-23T01:37:55.3621289Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.3621401Z 'code': None, 2022-11-23T01:37:55.3621617Z 'obj_weakref': 2022-11-23T01:37:55.3621873Z 'guarded_class': 2022-11-23T01:37:55.3621924Z } 2022-11-23T01:37:55.3622055Z 2022-11-23T01:37:55.3622130Z - 2022-11-23T01:37:55.3622256Z local 'ex[1]' EQUALS_MATCH 2022-11-23T01:37:55.3622319Z { 2022-11-23T01:37:55.3622489Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:37:55.3622939Z 'code': ['___check_type_id(ex[1], 93851402555296)', 'len(ex[1]) == 4', '___check_type_id(ex[1][0], 93851402553120)', '___check_type_id(ex[1][1], 93851402553120)', '___check_type_id(ex[1][2], 93851402553120)', '___check_type_id(ex[1][3], 93851402553120)', 'ex[1] == [1, 2, 3, 4]'], 2022-11-23T01:37:55.3623090Z 'obj_weakref': None 2022-11-23T01:37:55.3623314Z 'guarded_class': 2022-11-23T01:37:55.3623379Z } 2022-11-23T01:37:55.3623443Z 2022-11-23T01:37:55.3623512Z - 2022-11-23T01:37:55.3623645Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.3623709Z { 2022-11-23T01:37:55.3623834Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.3624004Z 'code': ['___check_obj_id(model, 140538738628800)'], 2022-11-23T01:37:55.3624125Z 'obj_weakref': None 2022-11-23T01:37:55.3624356Z 'guarded_class': 2022-11-23T01:37:55.3624419Z } 2022-11-23T01:37:55.3624482Z 2022-11-23T01:37:55.3624552Z - 2022-11-23T01:37:55.3624663Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.3624727Z { 2022-11-23T01:37:55.3624869Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.3625090Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.3625211Z 'obj_weakref': None 2022-11-23T01:37:55.3625432Z 'guarded_class': 2022-11-23T01:37:55.3625495Z } 2022-11-23T01:37:55.3625545Z 2022-11-23T01:37:55.3625612Z - 2022-11-23T01:37:55.3625749Z local 'ex[1][0]' CONSTANT_MATCH 2022-11-23T01:37:55.3625812Z { 2022-11-23T01:37:55.3625956Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.3626150Z 'code': ['___check_type_id(ex[1][0], 93851402553120)', 'ex[1][0] == 1'], 2022-11-23T01:37:55.3626271Z 'obj_weakref': None 2022-11-23T01:37:55.3626480Z 'guarded_class': 2022-11-23T01:37:55.3626547Z } 2022-11-23T01:37:55.3626609Z 2022-11-23T01:37:55.3626679Z - 2022-11-23T01:37:55.3626814Z local 'ex[1][1]' CONSTANT_MATCH 2022-11-23T01:37:55.3626875Z { 2022-11-23T01:37:55.3627019Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.3627200Z 'code': ['___check_type_id(ex[1][1], 93851402553120)', 'ex[1][1] == 2'], 2022-11-23T01:37:55.3627323Z 'obj_weakref': None 2022-11-23T01:37:55.3627543Z 'guarded_class': 2022-11-23T01:37:55.3627607Z } 2022-11-23T01:37:55.3627667Z 2022-11-23T01:37:55.3627737Z - 2022-11-23T01:37:55.3627872Z local 'ex[1][2]' CONSTANT_MATCH 2022-11-23T01:37:55.3627922Z { 2022-11-23T01:37:55.3628063Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.3628348Z 'code': ['___check_type_id(ex[1][2], 93851402553120)', 'ex[1][2] == 3'], 2022-11-23T01:37:55.3628472Z 'obj_weakref': None 2022-11-23T01:37:55.3628696Z 'guarded_class': 2022-11-23T01:37:55.3628761Z } 2022-11-23T01:37:55.3628824Z 2022-11-23T01:37:55.3628880Z - 2022-11-23T01:37:55.3629015Z local 'ex[1][3]' CONSTANT_MATCH 2022-11-23T01:37:55.3629113Z { 2022-11-23T01:37:55.3629260Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.3629455Z 'code': ['___check_type_id(ex[1][3], 93851402553120)', 'ex[1][3] == 4'], 2022-11-23T01:37:55.3629575Z 'obj_weakref': None 2022-11-23T01:37:55.3629801Z 'guarded_class': 2022-11-23T01:37:55.3629852Z } 2022-11-23T01:37:55.3629914Z 2022-11-23T01:37:55.3629983Z - 2022-11-23T01:37:55.3630117Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.3630211Z { 2022-11-23T01:37:55.3630334Z 'guard_types': None, 2022-11-23T01:37:55.3630444Z 'code': None, 2022-11-23T01:37:55.3630550Z 'obj_weakref': None 2022-11-23T01:37:55.3630670Z 'guarded_class': None 2022-11-23T01:37:55.3630732Z } 2022-11-23T01:37:55.3630795Z 2022-11-23T01:37:55.3631059Z [2022-11-23 01:35:11,641] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 371 2022-11-23T01:37:55.3631067Z 2022-11-23T01:37:55.3631158Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.3631224Z import torch 2022-11-23T01:37:55.3631279Z import random 2022-11-23T01:37:55.3631393Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.3631512Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.3631517Z 2022-11-23T01:37:55.3631594Z aten = torch.ops.aten 2022-11-23T01:37:55.3631728Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.3631822Z async_compile = AsyncCompile() 2022-11-23T01:37:55.3631827Z 2022-11-23T01:37:55.3631831Z 2022-11-23T01:37:55.3631965Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.3632171Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.3632278Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.3632380Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.3632475Z float* __restrict__ out_ptr1, 2022-11-23T01:37:55.3632569Z float* __restrict__ out_ptr2) 2022-11-23T01:37:55.3632628Z { 2022-11-23T01:37:55.3632704Z #pragma GCC ivdep 2022-11-23T01:37:55.3632783Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:55.3632833Z { 2022-11-23T01:37:55.3632908Z #pragma GCC ivdep 2022-11-23T01:37:55.3632988Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:37:55.3633049Z { 2022-11-23T01:37:55.3633110Z { 2022-11-23T01:37:55.3633176Z { 2022-11-23T01:37:55.3633277Z auto tmp0 = in_ptr0[i1 + (10*i0)]; 2022-11-23T01:37:55.3633370Z auto tmp1 = static_cast(2.0); 2022-11-23T01:37:55.3633459Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.3633563Z auto tmp3 = static_cast(1.0); 2022-11-23T01:37:55.3633655Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.3633745Z out_ptr0[i1 + (3*i0)] = tmp4; 2022-11-23T01:37:55.3633809Z } 2022-11-23T01:37:55.3633870Z } 2022-11-23T01:37:55.3633919Z } 2022-11-23T01:37:55.3633977Z } 2022-11-23T01:37:55.3634051Z #pragma GCC ivdep 2022-11-23T01:37:55.3634133Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:55.3634194Z { 2022-11-23T01:37:55.3634269Z #pragma GCC ivdep 2022-11-23T01:37:55.3634348Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:37:55.3634397Z { 2022-11-23T01:37:55.3634458Z { 2022-11-23T01:37:55.3634523Z { 2022-11-23T01:37:55.3634624Z auto tmp0 = in_ptr0[3 + i1 + (10*i0)]; 2022-11-23T01:37:55.3634728Z auto tmp1 = static_cast(2.0); 2022-11-23T01:37:55.3634817Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.3634908Z auto tmp3 = static_cast(1.0); 2022-11-23T01:37:55.3635071Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.3635165Z out_ptr1[i1 + (3*i0)] = tmp4; 2022-11-23T01:37:55.3635229Z } 2022-11-23T01:37:55.3635292Z } 2022-11-23T01:37:55.3635357Z } 2022-11-23T01:37:55.3635419Z } 2022-11-23T01:37:55.3635480Z #pragma GCC ivdep 2022-11-23T01:37:55.3635558Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:55.3635619Z { 2022-11-23T01:37:55.3635696Z #pragma GCC ivdep 2022-11-23T01:37:55.3635775Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:37:55.3635836Z { 2022-11-23T01:37:55.3635927Z { 2022-11-23T01:37:55.3635978Z { 2022-11-23T01:37:55.3636079Z auto tmp0 = in_ptr0[6 + i1 + (10*i0)]; 2022-11-23T01:37:55.3636181Z auto tmp1 = static_cast(2.0); 2022-11-23T01:37:55.3636271Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.3636375Z auto tmp3 = static_cast(1.0); 2022-11-23T01:37:55.3636464Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.3636554Z out_ptr2[i1 + (4*i0)] = tmp4; 2022-11-23T01:37:55.3636605Z } 2022-11-23T01:37:55.3636666Z } 2022-11-23T01:37:55.3636727Z } 2022-11-23T01:37:55.3636785Z } 2022-11-23T01:37:55.3636845Z } 2022-11-23T01:37:55.3636926Z ''') 2022-11-23T01:37:55.3636931Z 2022-11-23T01:37:55.3636936Z 2022-11-23T01:37:55.3637025Z async_compile.wait(globals()) 2022-11-23T01:37:55.3637083Z del async_compile 2022-11-23T01:37:55.3637089Z 2022-11-23T01:37:55.3637160Z def call(args): 2022-11-23T01:37:55.3637233Z arg0_1, = args 2022-11-23T01:37:55.3637309Z args.clear() 2022-11-23T01:37:55.3637516Z buf0 = empty_strided((2, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3637722Z buf1 = empty_strided((2, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3637927Z buf2 = empty_strided((2, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3638107Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:37:55.3638178Z del arg0_1 2022-11-23T01:37:55.3638262Z return (buf0, buf1, buf2, ) 2022-11-23T01:37:55.3638267Z 2022-11-23T01:37:55.3638272Z 2022-11-23T01:37:55.3638351Z if __name__ == "__main__": 2022-11-23T01:37:55.3638466Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.3638589Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.3638798Z arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3638912Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.3638916Z 2022-11-23T01:37:55.3638920Z 2022-11-23T01:37:55.3639014Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.3639070Z import torch 2022-11-23T01:37:55.3639141Z import random 2022-11-23T01:37:55.3639258Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.3639380Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.3639386Z 2022-11-23T01:37:55.3639468Z aten = torch.ops.aten 2022-11-23T01:37:55.3639603Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.3639700Z async_compile = AsyncCompile() 2022-11-23T01:37:55.3639705Z 2022-11-23T01:37:55.3639709Z 2022-11-23T01:37:55.3639847Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.3640042Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.3640164Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.3640265Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.3640364Z float* __restrict__ out_ptr1, 2022-11-23T01:37:55.3640458Z float* __restrict__ out_ptr2) 2022-11-23T01:37:55.3640522Z { 2022-11-23T01:37:55.3640599Z #pragma GCC ivdep 2022-11-23T01:37:55.3640695Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:55.3640759Z { 2022-11-23T01:37:55.3640837Z #pragma GCC ivdep 2022-11-23T01:37:55.3640919Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:37:55.3640985Z { 2022-11-23T01:37:55.3641050Z { 2022-11-23T01:37:55.3641101Z { 2022-11-23T01:37:55.3641202Z auto tmp0 = in_ptr0[i1 + (10*i0)]; 2022-11-23T01:37:55.3641308Z auto tmp1 = static_cast(2.0); 2022-11-23T01:37:55.3641402Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.3641507Z auto tmp3 = static_cast(1.0); 2022-11-23T01:37:55.3641643Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.3641739Z out_ptr0[i1 + (4*i0)] = tmp4; 2022-11-23T01:37:55.3641804Z } 2022-11-23T01:37:55.3641855Z } 2022-11-23T01:37:55.3641919Z } 2022-11-23T01:37:55.3641986Z } 2022-11-23T01:37:55.3642064Z #pragma GCC ivdep 2022-11-23T01:37:55.3642144Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:55.3642206Z { 2022-11-23T01:37:55.3642270Z #pragma GCC ivdep 2022-11-23T01:37:55.3642351Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:37:55.3642415Z { 2022-11-23T01:37:55.3642479Z { 2022-11-23T01:37:55.3642544Z { 2022-11-23T01:37:55.3642646Z auto tmp0 = in_ptr0[4 + i1 + (10*i0)]; 2022-11-23T01:37:55.3642748Z auto tmp1 = static_cast(2.0); 2022-11-23T01:37:55.3642826Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.3642930Z auto tmp3 = static_cast(1.0); 2022-11-23T01:37:55.3643019Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.3643110Z out_ptr1[i1 + (3*i0)] = tmp4; 2022-11-23T01:37:55.3643173Z } 2022-11-23T01:37:55.3643234Z } 2022-11-23T01:37:55.3643295Z } 2022-11-23T01:37:55.3643343Z } 2022-11-23T01:37:55.3643420Z #pragma GCC ivdep 2022-11-23T01:37:55.3643498Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:55.3643556Z { 2022-11-23T01:37:55.3643635Z #pragma GCC ivdep 2022-11-23T01:37:55.3643714Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:37:55.3643764Z { 2022-11-23T01:37:55.3643829Z { 2022-11-23T01:37:55.3643891Z { 2022-11-23T01:37:55.3643991Z auto tmp0 = in_ptr0[7 + i1 + (10*i0)]; 2022-11-23T01:37:55.3644094Z auto tmp1 = static_cast(2.0); 2022-11-23T01:37:55.3644183Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.3644286Z auto tmp3 = static_cast(1.0); 2022-11-23T01:37:55.3644364Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.3644454Z out_ptr2[i1 + (3*i0)] = tmp4; 2022-11-23T01:37:55.3644516Z } 2022-11-23T01:37:55.3644580Z } 2022-11-23T01:37:55.3644640Z } 2022-11-23T01:37:55.3644701Z } 2022-11-23T01:37:55.3644761Z } 2022-11-23T01:37:55.3644829Z ''') 2022-11-23T01:37:55.3644834Z 2022-11-23T01:37:55.3644839Z 2022-11-23T01:37:55.3644928Z async_compile.wait(globals()) 2022-11-23T01:37:55.3644997Z del async_compile 2022-11-23T01:37:55.3645002Z 2022-11-23T01:37:55.3645071Z def call(args): 2022-11-23T01:37:55.3645141Z arg0_1, = args 2022-11-23T01:37:55.3645212Z args.clear() 2022-11-23T01:37:55.3645416Z buf0 = empty_strided((2, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3645619Z buf1 = empty_strided((2, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3645810Z buf2 = empty_strided((2, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3645999Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:37:55.3646067Z del arg0_1 2022-11-23T01:37:55.3646149Z return (buf0, buf1, buf2, ) 2022-11-23T01:37:55.3646154Z 2022-11-23T01:37:55.3646188Z 2022-11-23T01:37:55.3646265Z if __name__ == "__main__": 2022-11-23T01:37:55.3646376Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.3646498Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.3646705Z arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3646801Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.3646806Z 2022-11-23T01:37:55.3646811Z 2022-11-23T01:37:55.3646902Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.3646971Z import torch 2022-11-23T01:37:55.3647072Z import random 2022-11-23T01:37:55.3647188Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.3647306Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.3647311Z 2022-11-23T01:37:55.3647387Z aten = torch.ops.aten 2022-11-23T01:37:55.3647518Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.3647598Z async_compile = AsyncCompile() 2022-11-23T01:37:55.3647603Z 2022-11-23T01:37:55.3647607Z 2022-11-23T01:37:55.3647744Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.3647949Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.3648066Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.3648164Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.3648260Z float* __restrict__ out_ptr1, 2022-11-23T01:37:55.3648354Z float* __restrict__ out_ptr2, 2022-11-23T01:37:55.3648448Z float* __restrict__ out_ptr3) 2022-11-23T01:37:55.3648496Z { 2022-11-23T01:37:55.3648569Z #pragma GCC ivdep 2022-11-23T01:37:55.3648648Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:55.3648708Z { 2022-11-23T01:37:55.3648771Z { 2022-11-23T01:37:55.3648833Z { 2022-11-23T01:37:55.3648913Z auto tmp0 = in_ptr0[10*i0]; 2022-11-23T01:37:55.3649014Z auto tmp1 = static_cast(2.0); 2022-11-23T01:37:55.3649101Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.3649199Z auto tmp3 = static_cast(1.0); 2022-11-23T01:37:55.3649284Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.3649366Z out_ptr0[i0] = tmp4; 2022-11-23T01:37:55.3649428Z } 2022-11-23T01:37:55.3649476Z } 2022-11-23T01:37:55.3649536Z } 2022-11-23T01:37:55.3649609Z #pragma GCC ivdep 2022-11-23T01:37:55.3649689Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:55.3649750Z { 2022-11-23T01:37:55.3649825Z #pragma GCC ivdep 2022-11-23T01:37:55.3649904Z for(long i1=0; i1<2; i1+=1) 2022-11-23T01:37:55.3649953Z { 2022-11-23T01:37:55.3650016Z { 2022-11-23T01:37:55.3650079Z { 2022-11-23T01:37:55.3650180Z auto tmp0 = in_ptr0[1 + i1 + (10*i0)]; 2022-11-23T01:37:55.3650285Z auto tmp1 = static_cast(2.0); 2022-11-23T01:37:55.3650373Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.3650463Z auto tmp3 = static_cast(1.0); 2022-11-23T01:37:55.3650551Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.3650642Z out_ptr1[i1 + (2*i0)] = tmp4; 2022-11-23T01:37:55.3650706Z } 2022-11-23T01:37:55.3650769Z } 2022-11-23T01:37:55.3650829Z } 2022-11-23T01:37:55.3650889Z } 2022-11-23T01:37:55.3650952Z #pragma GCC ivdep 2022-11-23T01:37:55.3651028Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:55.3651090Z { 2022-11-23T01:37:55.3651165Z #pragma GCC ivdep 2022-11-23T01:37:55.3651244Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:37:55.3651305Z { 2022-11-23T01:37:55.3651366Z { 2022-11-23T01:37:55.3651417Z { 2022-11-23T01:37:55.3651517Z auto tmp0 = in_ptr0[3 + i1 + (10*i0)]; 2022-11-23T01:37:55.3651647Z auto tmp1 = static_cast(2.0); 2022-11-23T01:37:55.3651739Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.3651841Z auto tmp3 = static_cast(1.0); 2022-11-23T01:37:55.3651929Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.3652020Z out_ptr2[i1 + (3*i0)] = tmp4; 2022-11-23T01:37:55.3652071Z } 2022-11-23T01:37:55.3652133Z } 2022-11-23T01:37:55.3652194Z } 2022-11-23T01:37:55.3652252Z } 2022-11-23T01:37:55.3652328Z #pragma GCC ivdep 2022-11-23T01:37:55.3652406Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:55.3652483Z { 2022-11-23T01:37:55.3652558Z #pragma GCC ivdep 2022-11-23T01:37:55.3652637Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:37:55.3652698Z { 2022-11-23T01:37:55.3652759Z { 2022-11-23T01:37:55.3652822Z { 2022-11-23T01:37:55.3652926Z auto tmp0 = in_ptr0[6 + i1 + (10*i0)]; 2022-11-23T01:37:55.3653018Z auto tmp1 = static_cast(2.0); 2022-11-23T01:37:55.3653108Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.3653209Z auto tmp3 = static_cast(1.0); 2022-11-23T01:37:55.3653298Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.3653389Z out_ptr3[i1 + (4*i0)] = tmp4; 2022-11-23T01:37:55.3653451Z } 2022-11-23T01:37:55.3653514Z } 2022-11-23T01:37:55.3653563Z } 2022-11-23T01:37:55.3653623Z } 2022-11-23T01:37:55.3653680Z } 2022-11-23T01:37:55.3653763Z ''') 2022-11-23T01:37:55.3653772Z 2022-11-23T01:37:55.3653776Z 2022-11-23T01:37:55.3653866Z async_compile.wait(globals()) 2022-11-23T01:37:55.3653935Z del async_compile 2022-11-23T01:37:55.3653940Z 2022-11-23T01:37:55.3654009Z def call(args): 2022-11-23T01:37:55.3654067Z arg0_1, = args 2022-11-23T01:37:55.3654135Z args.clear() 2022-11-23T01:37:55.3654347Z buf0 = empty_strided((2, 2, 1), (2, 1, 4), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3654553Z buf1 = empty_strided((2, 2, 2), (4, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3654754Z buf2 = empty_strided((2, 2, 3), (6, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3654953Z buf3 = empty_strided((2, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3655164Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr())) 2022-11-23T01:37:55.3655234Z del arg0_1 2022-11-23T01:37:55.3655313Z return (buf0, buf1, buf2, buf3, ) 2022-11-23T01:37:55.3655329Z 2022-11-23T01:37:55.3655333Z 2022-11-23T01:37:55.3655398Z if __name__ == "__main__": 2022-11-23T01:37:55.3655510Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.3655631Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.3655842Z arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3655948Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.3656331Z [2022-11-23 01:35:13,204] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/z4/cz4y6h2dckiczdgu2espeqmdzmnpoamchj3yqlgm3rfbo6jkpdxs.py 2022-11-23T01:37:55.3656601Z [2022-11-23 01:35:13,204] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 371 2022-11-23T01:37:55.3656607Z 2022-11-23T01:37:55.3656672Z ok (4.792s) 2022-11-23T01:37:55.3656970Z test_squeeze1_cpu (__main__.CpuTests) ... [2022-11-23 01:35:13,212] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.3657246Z [2022-11-23 01:35:13,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.3657470Z [2022-11-23 01:35:13,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.3657760Z [2022-11-23 01:35:13,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.3658052Z [2022-11-23 01:35:13,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.3658377Z [2022-11-23 01:35:13,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.3658706Z [2022-11-23 01:35:13,212] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.3659014Z 1270 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.3659149Z 2 LOAD_CONST 1 (1) 2022-11-23T01:37:55.3659242Z 4 BINARY_ADD 2022-11-23T01:37:55.3659347Z 6 LOAD_METHOD 0 (squeeze) 2022-11-23T01:37:55.3659435Z 8 CALL_METHOD 0 2022-11-23T01:37:55.3659527Z 10 LOAD_CONST 2 (2) 2022-11-23T01:37:55.3659601Z 12 BINARY_ADD 2022-11-23T01:37:55.3659690Z 14 LOAD_FAST 0 (a) 2022-11-23T01:37:55.3659785Z 16 LOAD_METHOD 0 (squeeze) 2022-11-23T01:37:55.3659859Z 18 CALL_METHOD 0 2022-11-23T01:37:55.3659946Z 20 LOAD_CONST 2 (2) 2022-11-23T01:37:55.3660017Z 22 BINARY_ADD 2022-11-23T01:37:55.3660107Z 24 BUILD_TUPLE 2 2022-11-23T01:37:55.3660182Z 26 RETURN_VALUE 2022-11-23T01:37:55.3660243Z 2022-11-23T01:37:55.3660251Z 2022-11-23T01:37:55.3660532Z [2022-11-23 01:35:13,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1270 2022-11-23T01:37:55.3660746Z [2022-11-23 01:35:13,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.3660979Z [2022-11-23 01:35:13,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:37:55.3661262Z [2022-11-23 01:35:13,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3661513Z [2022-11-23 01:35:13,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TensorVariable()] 2022-11-23T01:37:55.3661800Z [2022-11-23 01:35:13,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), squeeze)] 2022-11-23T01:37:55.3662043Z [2022-11-23 01:35:13,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:37:55.3662332Z [2022-11-23 01:35:13,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3662570Z [2022-11-23 01:35:13,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()] 2022-11-23T01:37:55.3662847Z [2022-11-23 01:35:13,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3663161Z [2022-11-23 01:35:13,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), squeeze)] 2022-11-23T01:37:55.3663415Z [2022-11-23 01:35:13,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3663726Z [2022-11-23 01:35:13,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3663993Z [2022-11-23 01:35:13,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3664241Z [2022-11-23 01:35:13,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.3664629Z [2022-11-23 01:35:13,219] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.3664881Z [2022-11-23 01:35:13,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.3665117Z [2022-11-23 01:35:13,219] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.3665373Z [2022-11-23 01:35:13,220] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.3665628Z [2022-11-23 01:35:13,225] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.3665820Z [2022-11-23 01:35:13,225] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.3665984Z __compiled_fn_380 .3094 opcode, name, target, args, kwargs 2022-11-23T01:37:55.3666073Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.3666251Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:55.3666351Z call_method, squeeze, squeeze, (add,), {} 2022-11-23T01:37:55.3666541Z call_function, add_1, , (squeeze, 2), {} 2022-11-23T01:37:55.3666645Z call_method, squeeze_1, squeeze, (ex_0_,), {} 2022-11-23T01:37:55.3666827Z call_function, add_2, , (squeeze_1, 2), {} 2022-11-23T01:37:55.3666919Z output, output, output, ((add_1, add_2),), {} 2022-11-23T01:37:55.3666937Z 2022-11-23T01:37:55.3667206Z [2022-11-23 01:35:13,226] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3667300Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.3667391Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3667486Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.3667574Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.3667649Z 8 RETURN_VALUE 2022-11-23T01:37:55.3667655Z 2022-11-23T01:37:55.3667714Z 2022-11-23T01:37:55.3667980Z [2022-11-23 01:35:13,226] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3668090Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_380) 2022-11-23T01:37:55.3668254Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3668346Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3668426Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.3668514Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.3668618Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3668717Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3668796Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3668875Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.3668976Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3669064Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.3669141Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.3669229Z 24 BUILD_TUPLE 2 2022-11-23T01:37:55.3669306Z 26 RETURN_VALUE 2022-11-23T01:37:55.3669311Z 2022-11-23T01:37:55.3669359Z 2022-11-23T01:37:55.3669549Z [2022-11-23 01:35:13,226] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.3669621Z - 2022-11-23T01:37:55.3669744Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.3669809Z { 2022-11-23T01:37:55.3669952Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.3670143Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.3670253Z 'obj_weakref': None 2022-11-23T01:37:55.3670485Z 'guarded_class': 2022-11-23T01:37:55.3670549Z } 2022-11-23T01:37:55.3670613Z 2022-11-23T01:37:55.3670683Z - 2022-11-23T01:37:55.3670810Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.3670875Z { 2022-11-23T01:37:55.3671042Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.3671156Z 'code': None, 2022-11-23T01:37:55.3671376Z 'obj_weakref': 2022-11-23T01:37:55.3671635Z 'guarded_class': 2022-11-23T01:37:55.3671701Z } 2022-11-23T01:37:55.3671767Z 2022-11-23T01:37:55.3671840Z - 2022-11-23T01:37:55.3671961Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.3672030Z { 2022-11-23T01:37:55.3672169Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.3672376Z 'code': ['___check_obj_id(model, 140538745348752)'], 2022-11-23T01:37:55.3672500Z 'obj_weakref': None 2022-11-23T01:37:55.3672737Z 'guarded_class': 2022-11-23T01:37:55.3672816Z } 2022-11-23T01:37:55.3672901Z 2022-11-23T01:37:55.3673005Z - 2022-11-23T01:37:55.3673181Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.3673253Z { 2022-11-23T01:37:55.3673397Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.3673619Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.3673742Z 'obj_weakref': None 2022-11-23T01:37:55.3673953Z 'guarded_class': 2022-11-23T01:37:55.3674021Z } 2022-11-23T01:37:55.3674087Z 2022-11-23T01:37:55.3674360Z [2022-11-23 01:35:13,235] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 372 2022-11-23T01:37:55.3674737Z [2022-11-23 01:35:14,627] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sg/csgx3y2fczf2flcmv4o3afhvgegtnkvwaexspwo6hsjs22xzcvkd.py 2022-11-23T01:37:55.3675008Z [2022-11-23 01:35:14,627] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 372 2022-11-23T01:37:55.3675014Z 2022-11-23T01:37:55.3675108Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.3675178Z import torch 2022-11-23T01:37:55.3675235Z import random 2022-11-23T01:37:55.3675353Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.3675477Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.3675482Z 2022-11-23T01:37:55.3675562Z aten = torch.ops.aten 2022-11-23T01:37:55.3675697Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.3675792Z async_compile = AsyncCompile() 2022-11-23T01:37:55.3675797Z 2022-11-23T01:37:55.3675802Z 2022-11-23T01:37:55.3675942Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.3676148Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.3676255Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.3676358Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.3676457Z float* __restrict__ out_ptr1) 2022-11-23T01:37:55.3676519Z { 2022-11-23T01:37:55.3676599Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:37:55.3676663Z { 2022-11-23T01:37:55.3676813Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.3676933Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:55.3677020Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3677148Z auto tmp3 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:37:55.3677235Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.3677321Z auto tmp5 = tmp0 + tmp3; 2022-11-23T01:37:55.3677410Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.3677496Z tmp5.store(out_ptr1 + 8*i0); 2022-11-23T01:37:55.3677557Z } 2022-11-23T01:37:55.3677632Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.3677752Z for(long i0=8; i0<8; i0+=1) 2022-11-23T01:37:55.3677820Z { 2022-11-23T01:37:55.3677900Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.3677995Z auto tmp1 = static_cast(1); 2022-11-23T01:37:55.3678076Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3678159Z auto tmp3 = static_cast(2); 2022-11-23T01:37:55.3678239Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.3678321Z auto tmp5 = tmp0 + tmp3; 2022-11-23T01:37:55.3678396Z out_ptr0[i0] = tmp4; 2022-11-23T01:37:55.3678470Z out_ptr1[i0] = tmp5; 2022-11-23T01:37:55.3678531Z } 2022-11-23T01:37:55.3678597Z } 2022-11-23T01:37:55.3678697Z ''') 2022-11-23T01:37:55.3678703Z 2022-11-23T01:37:55.3678707Z 2022-11-23T01:37:55.3678799Z async_compile.wait(globals()) 2022-11-23T01:37:55.3678873Z del async_compile 2022-11-23T01:37:55.3678877Z 2022-11-23T01:37:55.3678948Z def call(args): 2022-11-23T01:37:55.3679017Z arg0_1, = args 2022-11-23T01:37:55.3679104Z args.clear() 2022-11-23T01:37:55.3679381Z buf0 = empty_strided((2, 2, 2), (4, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3679590Z buf1 = empty_strided((2, 2, 2), (4, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3679745Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:55.3679812Z del arg0_1 2022-11-23T01:37:55.3679889Z return (buf0, buf1, ) 2022-11-23T01:37:55.3679894Z 2022-11-23T01:37:55.3679898Z 2022-11-23T01:37:55.3679974Z if __name__ == "__main__": 2022-11-23T01:37:55.3680090Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.3680214Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.3680447Z arg0_1 = rand_strided((1, 2, 1, 2, 2, 1, 1), (8, 4, 4, 2, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3680554Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.3680559Z 2022-11-23T01:37:55.3680614Z ok (1.423s) 2022-11-23T01:37:55.3680927Z test_squeeze2_cpu (__main__.CpuTests) ... [2022-11-23 01:35:14,635] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.3681198Z [2022-11-23 01:35:14,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.3681418Z [2022-11-23 01:35:14,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.3681672Z [2022-11-23 01:35:14,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.3681959Z [2022-11-23 01:35:14,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.3682285Z [2022-11-23 01:35:14,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.3682620Z [2022-11-23 01:35:14,636] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.3682711Z 1276 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.3682791Z 2 LOAD_CONST 1 (1) 2022-11-23T01:37:55.3682863Z 4 BINARY_ADD 2022-11-23T01:37:55.3682959Z 6 LOAD_METHOD 0 (squeeze) 2022-11-23T01:37:55.3683101Z 8 LOAD_CONST 2 (-1) 2022-11-23T01:37:55.3683191Z 10 CALL_METHOD 1 2022-11-23T01:37:55.3683286Z 12 LOAD_METHOD 0 (squeeze) 2022-11-23T01:37:55.3683378Z 14 LOAD_CONST 3 (2) 2022-11-23T01:37:55.3683458Z 16 CALL_METHOD 1 2022-11-23T01:37:55.3683557Z 18 LOAD_CONST 3 (2) 2022-11-23T01:37:55.3683673Z 20 BINARY_ADD 2022-11-23T01:37:55.3683805Z 22 LOAD_FAST 0 (a) 2022-11-23T01:37:55.3683936Z 24 LOAD_METHOD 0 (squeeze) 2022-11-23T01:37:55.3684124Z 26 LOAD_CONST 4 (0) 2022-11-23T01:37:55.3684223Z 28 CALL_METHOD 1 2022-11-23T01:37:55.3684297Z 30 LOAD_CONST 3 (2) 2022-11-23T01:37:55.3684371Z 32 BINARY_ADD 2022-11-23T01:37:55.3684460Z 34 BUILD_TUPLE 2 2022-11-23T01:37:55.3684536Z 36 RETURN_VALUE 2022-11-23T01:37:55.3684596Z 2022-11-23T01:37:55.3684601Z 2022-11-23T01:37:55.3684886Z [2022-11-23 01:35:14,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1276 2022-11-23T01:37:55.3685155Z [2022-11-23 01:35:14,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.3685398Z [2022-11-23 01:35:14,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:37:55.3685670Z [2022-11-23 01:35:14,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3685920Z [2022-11-23 01:35:14,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TensorVariable()] 2022-11-23T01:37:55.3686202Z [2022-11-23 01:35:14,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), squeeze)] 2022-11-23T01:37:55.3686526Z [2022-11-23 01:35:14,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), squeeze), ConstantVariable(int)] 2022-11-23T01:37:55.3686772Z [2022-11-23 01:35:14,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TensorVariable()] 2022-11-23T01:37:55.3687055Z [2022-11-23 01:35:14,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), squeeze)] 2022-11-23T01:37:55.3687378Z [2022-11-23 01:35:14,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), squeeze), ConstantVariable(int)] 2022-11-23T01:37:55.3687621Z [2022-11-23 01:35:14,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:37:55.3687907Z [2022-11-23 01:35:14,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3688148Z [2022-11-23 01:35:14,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()] 2022-11-23T01:37:55.3688410Z [2022-11-23 01:35:14,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3688717Z [2022-11-23 01:35:14,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), GetAttrVariable(TensorVariable(), squeeze)] 2022-11-23T01:37:55.3689073Z [2022-11-23 01:35:14,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), squeeze), ConstantVariable(int)] 2022-11-23T01:37:55.3689347Z [2022-11-23 01:35:14,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3689660Z [2022-11-23 01:35:14,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3689929Z [2022-11-23 01:35:14,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3690176Z [2022-11-23 01:35:14,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.3690511Z [2022-11-23 01:35:14,643] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.3690760Z [2022-11-23 01:35:14,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.3690997Z [2022-11-23 01:35:14,643] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.3691273Z [2022-11-23 01:35:14,644] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.3691530Z [2022-11-23 01:35:14,650] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.3691721Z [2022-11-23 01:35:14,650] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.3691855Z __compiled_fn_381 .3100 opcode, name, target, args, kwargs 2022-11-23T01:37:55.3691943Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.3692117Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:55.3692267Z call_method, squeeze, squeeze, (add, -1), {} 2022-11-23T01:37:55.3692407Z call_method, squeeze_1, squeeze, (squeeze, 2), {} 2022-11-23T01:37:55.3692579Z call_function, add_1, , (squeeze_1, 2), {} 2022-11-23T01:37:55.3692683Z call_method, squeeze_2, squeeze, (ex_0_, 0), {} 2022-11-23T01:37:55.3692868Z call_function, add_2, , (squeeze_2, 2), {} 2022-11-23T01:37:55.3692974Z output, output, output, ((add_1, add_2),), {} 2022-11-23T01:37:55.3692980Z 2022-11-23T01:37:55.3693263Z [2022-11-23 01:35:14,651] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3693356Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.3693445Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3693536Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.3693613Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.3693689Z 8 RETURN_VALUE 2022-11-23T01:37:55.3693697Z 2022-11-23T01:37:55.3693756Z 2022-11-23T01:37:55.3694031Z [2022-11-23 01:35:14,651] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3694138Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_381) 2022-11-23T01:37:55.3694226Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3694316Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3694393Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.3694469Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.3694570Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3694670Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3694758Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3694833Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.3694932Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3695018Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.3695083Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.3695171Z 24 BUILD_TUPLE 2 2022-11-23T01:37:55.3695244Z 26 RETURN_VALUE 2022-11-23T01:37:55.3695249Z 2022-11-23T01:37:55.3695308Z 2022-11-23T01:37:55.3695493Z [2022-11-23 01:35:14,651] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.3695566Z - 2022-11-23T01:37:55.3695688Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.3695740Z { 2022-11-23T01:37:55.3695882Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.3696071Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.3696193Z 'obj_weakref': None 2022-11-23T01:37:55.3696419Z 'guarded_class': 2022-11-23T01:37:55.3696482Z } 2022-11-23T01:37:55.3696547Z 2022-11-23T01:37:55.3696605Z - 2022-11-23T01:37:55.3696734Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.3696798Z { 2022-11-23T01:37:55.3696943Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.3697051Z 'code': None, 2022-11-23T01:37:55.3697266Z 'obj_weakref': 2022-11-23T01:37:55.3697557Z 'guarded_class': 2022-11-23T01:37:55.3697610Z } 2022-11-23T01:37:55.3697673Z 2022-11-23T01:37:55.3697744Z - 2022-11-23T01:37:55.3697877Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.3697940Z { 2022-11-23T01:37:55.3698075Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.3698247Z 'code': ['___check_obj_id(model, 140538737017488)'], 2022-11-23T01:37:55.3698355Z 'obj_weakref': None 2022-11-23T01:37:55.3698584Z 'guarded_class': 2022-11-23T01:37:55.3698680Z } 2022-11-23T01:37:55.3698884Z 2022-11-23T01:37:55.3699002Z - 2022-11-23T01:37:55.3699176Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.3699243Z { 2022-11-23T01:37:55.3699371Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.3699592Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.3699715Z 'obj_weakref': None 2022-11-23T01:37:55.3699937Z 'guarded_class': 2022-11-23T01:37:55.3700000Z } 2022-11-23T01:37:55.3700061Z 2022-11-23T01:37:55.3700328Z [2022-11-23 01:35:14,664] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 373 2022-11-23T01:37:55.3700692Z [2022-11-23 01:35:16,075] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/p4/cp4uq4pbzxbjizsli4kyoejxzpa2dxgv76rith3wdfficgjz6rrj.py 2022-11-23T01:37:55.3700961Z [2022-11-23 01:35:16,076] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 373 2022-11-23T01:37:55.3700966Z 2022-11-23T01:37:55.3701062Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.3701130Z import torch 2022-11-23T01:37:55.3701201Z import random 2022-11-23T01:37:55.3701319Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.3701440Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.3701445Z 2022-11-23T01:37:55.3701523Z aten = torch.ops.aten 2022-11-23T01:37:55.3701645Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.3701739Z async_compile = AsyncCompile() 2022-11-23T01:37:55.3701744Z 2022-11-23T01:37:55.3701748Z 2022-11-23T01:37:55.3701884Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.3702086Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.3702208Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.3702310Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.3702410Z float* __restrict__ out_ptr1) 2022-11-23T01:37:55.3702471Z { 2022-11-23T01:37:55.3702539Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:55.3702600Z { 2022-11-23T01:37:55.3702747Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.3702880Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:55.3702963Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3703089Z auto tmp3 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:37:55.3703169Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.3703247Z auto tmp5 = tmp0 + tmp3; 2022-11-23T01:37:55.3703322Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.3703408Z tmp5.store(out_ptr1 + 8*i0); 2022-11-23T01:37:55.3703472Z } 2022-11-23T01:37:55.3703559Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.3703639Z for(long i0=16; i0<16; i0+=1) 2022-11-23T01:37:55.3703698Z { 2022-11-23T01:37:55.3703766Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.3703860Z auto tmp1 = static_cast(1); 2022-11-23T01:37:55.3703939Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3704098Z auto tmp3 = static_cast(2); 2022-11-23T01:37:55.3704184Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.3704263Z auto tmp5 = tmp0 + tmp3; 2022-11-23T01:37:55.3704340Z out_ptr0[i0] = tmp4; 2022-11-23T01:37:55.3704403Z out_ptr1[i0] = tmp5; 2022-11-23T01:37:55.3704462Z } 2022-11-23T01:37:55.3704519Z } 2022-11-23T01:37:55.3704603Z ''') 2022-11-23T01:37:55.3704608Z 2022-11-23T01:37:55.3704612Z 2022-11-23T01:37:55.3704701Z async_compile.wait(globals()) 2022-11-23T01:37:55.3704778Z del async_compile 2022-11-23T01:37:55.3704782Z 2022-11-23T01:37:55.3704892Z def call(args): 2022-11-23T01:37:55.3704949Z arg0_1, = args 2022-11-23T01:37:55.3705019Z args.clear() 2022-11-23T01:37:55.3705241Z buf0 = empty_strided((1, 2, 2, 2, 2), (16, 8, 4, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3705469Z buf1 = empty_strided((2, 1, 2, 2, 2, 1), (8, 16, 4, 2, 1, 16), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3705634Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:55.3705702Z del arg0_1 2022-11-23T01:37:55.3705779Z return (buf0, buf1, ) 2022-11-23T01:37:55.3705784Z 2022-11-23T01:37:55.3705789Z 2022-11-23T01:37:55.3705864Z if __name__ == "__main__": 2022-11-23T01:37:55.3705966Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.3706088Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.3706319Z arg0_1 = rand_strided((1, 2, 1, 2, 2, 2, 1), (16, 8, 8, 4, 2, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3706429Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.3706434Z 2022-11-23T01:37:55.3706500Z ok (1.448s) 2022-11-23T01:37:55.3706805Z test_stack_cpu (__main__.CpuTests) ... [2022-11-23 01:35:16,084] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.3707085Z [2022-11-23 01:35:16,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.3707307Z [2022-11-23 01:35:16,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.3707562Z [2022-11-23 01:35:16,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.3707838Z [2022-11-23 01:35:16,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.3708242Z [2022-11-23 01:35:16,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.3708583Z [2022-11-23 01:35:16,085] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.3708684Z 2600 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.3708779Z 2 LOAD_METHOD 1 (stack) 2022-11-23T01:37:55.3708786Z 2022-11-23T01:37:55.3708877Z 2602 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.3708973Z 6 LOAD_METHOD 2 (expand) 2022-11-23T01:37:55.3709064Z 8 LOAD_CONST 1 (12) 2022-11-23T01:37:55.3709152Z 10 LOAD_CONST 2 (16) 2022-11-23T01:37:55.3709228Z 12 CALL_METHOD 2 2022-11-23T01:37:55.3709233Z 2022-11-23T01:37:55.3709321Z 2603 14 LOAD_FAST 1 (b) 2022-11-23T01:37:55.3709415Z 16 LOAD_METHOD 2 (expand) 2022-11-23T01:37:55.3709507Z 18 LOAD_CONST 1 (12) 2022-11-23T01:37:55.3709596Z 20 LOAD_CONST 2 (16) 2022-11-23T01:37:55.3709686Z 22 CALL_METHOD 2 2022-11-23T01:37:55.3709772Z 24 BUILD_LIST 2 2022-11-23T01:37:55.3709778Z 2022-11-23T01:37:55.3709851Z 2605 26 LOAD_CONST 3 (2) 2022-11-23T01:37:55.3709968Z 28 CALL_METHOD 2 2022-11-23T01:37:55.3710046Z 30 RETURN_VALUE 2022-11-23T01:37:55.3710106Z 2022-11-23T01:37:55.3710111Z 2022-11-23T01:37:55.3710383Z [2022-11-23 01:35:16,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2600 2022-11-23T01:37:55.3710608Z [2022-11-23 01:35:16,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.3710975Z [2022-11-23 01:35:16,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR stack [TorchVariable()] 2022-11-23T01:37:55.3711275Z [2022-11-23 01:35:16,085] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2602 2022-11-23T01:37:55.3711599Z [2022-11-23 01:35:16,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:55.3711947Z [2022-11-23 01:35:16,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.3712342Z [2022-11-23 01:35:16,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TorchVariable(), GetAttrVariable(TensorVariable(), expand)] 2022-11-23T01:37:55.3712772Z [2022-11-23 01:35:16,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 16 [TorchVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)] 2022-11-23T01:37:55.3713253Z [2022-11-23 01:35:16,086] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.3713527Z [2022-11-23 01:35:16,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2603 2022-11-23T01:37:55.3713876Z [2022-11-23 01:35:16,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.3714268Z [2022-11-23 01:35:16,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR expand [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3714694Z [2022-11-23 01:35:16,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TorchVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), expand)] 2022-11-23T01:37:55.3715159Z [2022-11-23 01:35:16,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 16 [TorchVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int)] 2022-11-23T01:37:55.3715658Z [2022-11-23 01:35:16,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), expand), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.3716039Z [2022-11-23 01:35:16,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3716313Z [2022-11-23 01:35:16,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2605 2022-11-23T01:37:55.3716664Z [2022-11-23 01:35:16,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(), ListVariable()] 2022-11-23T01:37:55.3717083Z [2022-11-23 01:35:16,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3717340Z [2022-11-23 01:35:16,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.3717661Z [2022-11-23 01:35:16,091] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.3717912Z [2022-11-23 01:35:16,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.3718150Z [2022-11-23 01:35:16,091] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.3718442Z [2022-11-23 01:35:16,092] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.3718696Z [2022-11-23 01:35:16,096] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.3718896Z [2022-11-23 01:35:16,096] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.3719033Z __compiled_fn_382 .3106 opcode, name, target, args, kwargs 2022-11-23T01:37:55.3719124Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.3719213Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.3719307Z call_method, expand, expand, (ex_0_, 12, 16), {} 2022-11-23T01:37:55.3719414Z call_method, expand_1, expand, (ex_1_, 12, 16), {} 2022-11-23T01:37:55.3719668Z call_function, stack, , ([expand, expand_1], 2), {} 2022-11-23T01:37:55.3719768Z output, output, output, ((stack,),), {} 2022-11-23T01:37:55.3719776Z 2022-11-23T01:37:55.3720062Z [2022-11-23 01:35:16,097] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3720157Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.3720250Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3720346Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.3720426Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.3720504Z 8 RETURN_VALUE 2022-11-23T01:37:55.3720509Z 2022-11-23T01:37:55.3720572Z 2022-11-23T01:37:55.3720850Z [2022-11-23 01:35:16,097] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3720959Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_382) 2022-11-23T01:37:55.3721050Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3721141Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3721207Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.3721298Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3721390Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.3721467Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.3721556Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.3721646Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.3721722Z 18 RETURN_VALUE 2022-11-23T01:37:55.3721727Z 2022-11-23T01:37:55.3721774Z 2022-11-23T01:37:55.3721961Z [2022-11-23 01:35:16,098] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.3722035Z - 2022-11-23T01:37:55.3722159Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.3722227Z { 2022-11-23T01:37:55.3722372Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.3722562Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.3722673Z 'obj_weakref': None 2022-11-23T01:37:55.3722906Z 'guarded_class': 2022-11-23T01:37:55.3722974Z } 2022-11-23T01:37:55.3723039Z 2022-11-23T01:37:55.3723111Z - 2022-11-23T01:37:55.3723236Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.3723298Z { 2022-11-23T01:37:55.3723460Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.3723571Z 'code': None, 2022-11-23T01:37:55.3723787Z 'obj_weakref': 2022-11-23T01:37:55.3724044Z 'guarded_class': 2022-11-23T01:37:55.3724106Z } 2022-11-23T01:37:55.3724168Z 2022-11-23T01:37:55.3724238Z - 2022-11-23T01:37:55.3724351Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.3724413Z { 2022-11-23T01:37:55.3724591Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.3724700Z 'code': None, 2022-11-23T01:37:55.3724916Z 'obj_weakref': 2022-11-23T01:37:55.3725168Z 'guarded_class': 2022-11-23T01:37:55.3725231Z } 2022-11-23T01:37:55.3725292Z 2022-11-23T01:37:55.3725349Z - 2022-11-23T01:37:55.3725481Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.3725543Z { 2022-11-23T01:37:55.3725678Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.3725850Z 'code': ['___check_obj_id(model, 140538744430960)'], 2022-11-23T01:37:55.3725971Z 'obj_weakref': None 2022-11-23T01:37:55.3726192Z 'guarded_class': 2022-11-23T01:37:55.3726256Z } 2022-11-23T01:37:55.3726320Z 2022-11-23T01:37:55.3726391Z - 2022-11-23T01:37:55.3726513Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.3726576Z { 2022-11-23T01:37:55.3726716Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.3726923Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.3727045Z 'obj_weakref': None 2022-11-23T01:37:55.3727266Z 'guarded_class': 2022-11-23T01:37:55.3727329Z } 2022-11-23T01:37:55.3727389Z 2022-11-23T01:37:55.3727457Z - 2022-11-23T01:37:55.3727593Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.3727642Z { 2022-11-23T01:37:55.3727763Z 'guard_types': None, 2022-11-23T01:37:55.3727873Z 'code': None, 2022-11-23T01:37:55.3727991Z 'obj_weakref': None 2022-11-23T01:37:55.3728113Z 'guarded_class': None 2022-11-23T01:37:55.3728179Z } 2022-11-23T01:37:55.3728240Z 2022-11-23T01:37:55.3728491Z [2022-11-23 01:35:16,107] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 374 2022-11-23T01:37:55.3728862Z [2022-11-23 01:35:17,498] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/la/clay5i4fwe7vpdn3ggl3wij53mrzbw6nbexnyg632j4wzoq2usod.py 2022-11-23T01:37:55.3729131Z [2022-11-23 01:35:17,498] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 374 2022-11-23T01:37:55.3729137Z 2022-11-23T01:37:55.3729230Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.3729298Z import torch 2022-11-23T01:37:55.3729367Z import random 2022-11-23T01:37:55.3729480Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.3729600Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.3729605Z 2022-11-23T01:37:55.3729670Z aten = torch.ops.aten 2022-11-23T01:37:55.3729803Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.3729895Z async_compile = AsyncCompile() 2022-11-23T01:37:55.3729900Z 2022-11-23T01:37:55.3729905Z 2022-11-23T01:37:55.3730041Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.3730245Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.3730404Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.3730508Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.3730608Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.3730691Z float* __restrict__ out_ptr1) 2022-11-23T01:37:55.3730750Z { 2022-11-23T01:37:55.3730825Z #pragma GCC ivdep 2022-11-23T01:37:55.3730907Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:37:55.3730966Z { 2022-11-23T01:37:55.3731044Z #pragma GCC ivdep 2022-11-23T01:37:55.3731124Z for(long i1=0; i1<16; i1+=1) 2022-11-23T01:37:55.3731247Z { 2022-11-23T01:37:55.3731310Z { 2022-11-23T01:37:55.3731372Z { 2022-11-23T01:37:55.3731466Z auto tmp0 = in_ptr0[i1]; 2022-11-23T01:37:55.3731563Z out_ptr0[(2*i1) + (32*i0)] = tmp0; 2022-11-23T01:37:55.3731628Z } 2022-11-23T01:37:55.3731690Z } 2022-11-23T01:37:55.3731740Z } 2022-11-23T01:37:55.3731799Z } 2022-11-23T01:37:55.3731875Z #pragma GCC ivdep 2022-11-23T01:37:55.3731954Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:37:55.3732016Z { 2022-11-23T01:37:55.3732092Z #pragma GCC ivdep 2022-11-23T01:37:55.3732159Z for(long i1=0; i1<16; i1+=1) 2022-11-23T01:37:55.3732220Z { 2022-11-23T01:37:55.3732284Z { 2022-11-23T01:37:55.3732345Z { 2022-11-23T01:37:55.3732436Z auto tmp0 = in_ptr1[i0]; 2022-11-23T01:37:55.3732533Z out_ptr1[(2*i1) + (32*i0)] = tmp0; 2022-11-23T01:37:55.3732598Z } 2022-11-23T01:37:55.3732649Z } 2022-11-23T01:37:55.3732708Z } 2022-11-23T01:37:55.3732768Z } 2022-11-23T01:37:55.3732824Z } 2022-11-23T01:37:55.3732910Z ''') 2022-11-23T01:37:55.3732916Z 2022-11-23T01:37:55.3732921Z 2022-11-23T01:37:55.3733008Z async_compile.wait(globals()) 2022-11-23T01:37:55.3733078Z del async_compile 2022-11-23T01:37:55.3733085Z 2022-11-23T01:37:55.3733142Z def call(args): 2022-11-23T01:37:55.3733215Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.3733285Z args.clear() 2022-11-23T01:37:55.3733494Z buf2 = empty_strided((12, 16, 2), (32, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3733599Z buf0 = as_strided(buf2, (12, 16, 1), (32, 2, 1)) # alias 2022-11-23T01:37:55.3733704Z buf1 = as_strided(buf2, (12, 16, 1), (32, 2, 1), 1) # alias 2022-11-23T01:37:55.3733894Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:55.3733964Z del arg0_1 2022-11-23T01:37:55.3734017Z del arg1_1 2022-11-23T01:37:55.3734086Z return (buf2, ) 2022-11-23T01:37:55.3734091Z 2022-11-23T01:37:55.3734095Z 2022-11-23T01:37:55.3734173Z if __name__ == "__main__": 2022-11-23T01:37:55.3734287Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.3734410Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.3734612Z arg0_1 = rand_strided((1, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3734813Z arg1_1 = rand_strided((12, 1), (1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3734916Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.3734932Z 2022-11-23T01:37:55.3734986Z ok (1.422s) 2022-11-23T01:37:55.3735289Z test_std_cpu (__main__.CpuTests) ... [2022-11-23 01:35:17,506] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.3735561Z [2022-11-23 01:35:17,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.3735787Z [2022-11-23 01:35:17,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.3736044Z [2022-11-23 01:35:17,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.3736366Z [2022-11-23 01:35:17,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.3736691Z [2022-11-23 01:35:17,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.3737021Z [2022-11-23 01:35:17,507] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.3737116Z 2287 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.3737196Z 2 LOAD_METHOD 1 (var) 2022-11-23T01:37:55.3737318Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:55.3737410Z 6 LOAD_CONST 1 (True) 2022-11-23T01:37:55.3737499Z 8 CALL_METHOD 2 2022-11-23T01:37:55.3737504Z 2022-11-23T01:37:55.3737595Z 2288 10 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.3737688Z 12 LOAD_METHOD 1 (var) 2022-11-23T01:37:55.3737777Z 14 LOAD_FAST 0 (x) 2022-11-23T01:37:55.3737856Z 16 LOAD_CONST 2 (False) 2022-11-23T01:37:55.3737943Z 18 CALL_METHOD 2 2022-11-23T01:37:55.3737948Z 2022-11-23T01:37:55.3738038Z 2289 20 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.3738127Z 22 LOAD_METHOD 1 (var) 2022-11-23T01:37:55.3738215Z 24 LOAD_FAST 0 (x) 2022-11-23T01:37:55.3738355Z 26 LOAD_CONST 3 (-1) 2022-11-23T01:37:55.3738449Z 28 LOAD_CONST 1 (True) 2022-11-23T01:37:55.3738536Z 30 CALL_METHOD 3 2022-11-23T01:37:55.3738541Z 2022-11-23T01:37:55.3738620Z 2290 32 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.3738709Z 34 LOAD_METHOD 1 (var) 2022-11-23T01:37:55.3738977Z 36 LOAD_FAST 0 (x) 2022-11-23T01:37:55.3739192Z 38 LOAD_CONST 3 (-1) 2022-11-23T01:37:55.3739287Z 40 LOAD_CONST 2 (False) 2022-11-23T01:37:55.3739373Z 42 CALL_METHOD 3 2022-11-23T01:37:55.3739378Z 2022-11-23T01:37:55.3739469Z 2291 44 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.3739561Z 46 LOAD_METHOD 2 (std) 2022-11-23T01:37:55.3739637Z 48 LOAD_FAST 0 (x) 2022-11-23T01:37:55.3739729Z 50 LOAD_CONST 2 (False) 2022-11-23T01:37:55.3739817Z 52 CALL_METHOD 2 2022-11-23T01:37:55.3739824Z 2022-11-23T01:37:55.3739914Z 2292 54 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.3740012Z 56 LOAD_METHOD 2 (std) 2022-11-23T01:37:55.3740099Z 58 LOAD_FAST 0 (x) 2022-11-23T01:37:55.3740189Z 60 LOAD_CONST 4 (0) 2022-11-23T01:37:55.3740268Z 62 LOAD_CONST 5 (1) 2022-11-23T01:37:55.3740355Z 64 BUILD_LIST 2 2022-11-23T01:37:55.3740447Z 66 LOAD_CONST 1 (True) 2022-11-23T01:37:55.3740533Z 68 CALL_METHOD 3 2022-11-23T01:37:55.3740537Z 2022-11-23T01:37:55.3740627Z 2293 70 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.3740716Z 72 LOAD_METHOD 2 (std) 2022-11-23T01:37:55.3740801Z 74 LOAD_FAST 0 (x) 2022-11-23T01:37:55.3740889Z 76 LOAD_CONST 4 (0) 2022-11-23T01:37:55.3740965Z 78 LOAD_CONST 5 (1) 2022-11-23T01:37:55.3741048Z 80 BUILD_LIST 2 2022-11-23T01:37:55.3741137Z 82 LOAD_CONST 2 (False) 2022-11-23T01:37:55.3741222Z 84 CALL_METHOD 3 2022-11-23T01:37:55.3741227Z 2022-11-23T01:37:55.3741370Z 2294 86 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.3741458Z 88 LOAD_ATTR 2 (std) 2022-11-23T01:37:55.3741543Z 90 LOAD_FAST 0 (x) 2022-11-23T01:37:55.3741674Z 92 LOAD_CONST 6 (-2) 2022-11-23T01:37:55.3741767Z 94 LOAD_CONST 1 (True) 2022-11-23T01:37:55.3741854Z 96 LOAD_CONST 1 (True) 2022-11-23T01:37:55.3742010Z 98 LOAD_CONST 7 (('keepdim',)) 2022-11-23T01:37:55.3742102Z 100 CALL_FUNCTION_KW 4 2022-11-23T01:37:55.3742193Z 102 BUILD_TUPLE 8 2022-11-23T01:37:55.3742311Z 104 RETURN_VALUE 2022-11-23T01:37:55.3742360Z 2022-11-23T01:37:55.3742377Z 2022-11-23T01:37:55.3742642Z [2022-11-23 01:35:17,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2287 2022-11-23T01:37:55.3742865Z [2022-11-23 01:35:17,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.3743235Z [2022-11-23 01:35:17,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TorchVariable()] 2022-11-23T01:37:55.3743553Z [2022-11-23 01:35:17,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:37:55.3743901Z [2022-11-23 01:35:17,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.3744299Z [2022-11-23 01:35:17,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), ConstantVariable(bool)] 2022-11-23T01:37:55.3744570Z [2022-11-23 01:35:17,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2288 2022-11-23T01:37:55.3744823Z [2022-11-23 01:35:17,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:37:55.3745213Z [2022-11-23 01:35:17,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.3745556Z [2022-11-23 01:35:17,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.3745940Z [2022-11-23 01:35:17,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.3746347Z [2022-11-23 01:35:17,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(bool)] 2022-11-23T01:37:55.3746615Z [2022-11-23 01:35:17,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2289 2022-11-23T01:37:55.3746891Z [2022-11-23 01:35:17,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3747312Z [2022-11-23 01:35:17,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.3747687Z [2022-11-23 01:35:17,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.3748184Z [2022-11-23 01:35:17,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.3748679Z [2022-11-23 01:35:17,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3749174Z [2022-11-23 01:35:17,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)] 2022-11-23T01:37:55.3749447Z [2022-11-23 01:35:17,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2290 2022-11-23T01:37:55.3749785Z [2022-11-23 01:35:17,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3750244Z [2022-11-23 01:35:17,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.3750648Z [2022-11-23 01:35:17,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.3751088Z [2022-11-23 01:35:17,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.3751570Z [2022-11-23 01:35:17,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3752091Z [2022-11-23 01:35:17,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)] 2022-11-23T01:37:55.3752366Z [2022-11-23 01:35:17,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2291 2022-11-23T01:37:55.3752685Z [2022-11-23 01:35:17,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3753166Z [2022-11-23 01:35:17,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR std [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.3753607Z [2022-11-23 01:35:17,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.3754076Z [2022-11-23 01:35:17,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.3754584Z [2022-11-23 01:35:17,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(bool)] 2022-11-23T01:37:55.3754858Z [2022-11-23 01:35:17,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2292 2022-11-23T01:37:55.3755216Z [2022-11-23 01:35:17,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3755830Z [2022-11-23 01:35:17,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR std [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.3756355Z [2022-11-23 01:35:17,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.3756844Z [2022-11-23 01:35:17,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.3757414Z [2022-11-23 01:35:17,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3757981Z [2022-11-23 01:35:17,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.3758500Z [2022-11-23 01:35:17,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.3759069Z [2022-11-23 01:35:17,517] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:37:55.3759339Z [2022-11-23 01:35:17,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2293 2022-11-23T01:37:55.3759726Z [2022-11-23 01:35:17,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3760262Z [2022-11-23 01:35:17,519] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR std [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.3760756Z [2022-11-23 01:35:17,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.3761284Z [2022-11-23 01:35:17,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.3761839Z [2022-11-23 01:35:17,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3762465Z [2022-11-23 01:35:17,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.3763016Z [2022-11-23 01:35:17,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.3763598Z [2022-11-23 01:35:17,520] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:37:55.3763900Z [2022-11-23 01:35:17,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2294 2022-11-23T01:37:55.3764305Z [2022-11-23 01:35:17,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3764866Z [2022-11-23 01:35:17,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR std [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.3765377Z [2022-11-23 01:35:17,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.3765933Z [2022-11-23 01:35:17,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.3766523Z [2022-11-23 01:35:17,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3767146Z [2022-11-23 01:35:17,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)] 2022-11-23T01:37:55.3767823Z [2022-11-23 01:35:17,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(bool)] 2022-11-23T01:37:55.3768540Z [2022-11-23 01:35:17,522] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(bool), ConstantVariable(tuple)] 2022-11-23T01:37:55.3768982Z [2022-11-23 01:35:17,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 8 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3769233Z [2022-11-23 01:35:17,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.3769595Z [2022-11-23 01:35:17,524] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.3769850Z [2022-11-23 01:35:17,524] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.3770088Z [2022-11-23 01:35:17,524] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.3770348Z [2022-11-23 01:35:17,526] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.3770602Z [2022-11-23 01:35:17,535] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.3770835Z [2022-11-23 01:35:17,536] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.3770973Z __compiled_fn_383 .3112 opcode, name, target, args, kwargs 2022-11-23T01:37:55.3771051Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.3771286Z call_function, var, , (ex_0_, True), {} 2022-11-23T01:37:55.3771523Z call_function, var_1, , (ex_0_, False), {} 2022-11-23T01:37:55.3777539Z call_function, var_2, , (ex_0_, -1, True), {} 2022-11-23T01:37:55.3777837Z call_function, var_3, , (ex_0_, -1, False), {} 2022-11-23T01:37:55.3778060Z call_function, std, , (ex_0_, False), {} 2022-11-23T01:37:55.3778308Z call_function, std_1, , (ex_0_, [0, 1], True), {} 2022-11-23T01:37:55.3778556Z call_function, std_2, , (ex_0_, [0, 1], False), {} 2022-11-23T01:37:55.3778999Z call_function, std_3, , (ex_0_, -2, True), {'keepdim': True} 2022-11-23T01:37:55.3779208Z output, output, output, ((var, var_1, var_2, var_3, std, std_1, std_2, std_3),), {} 2022-11-23T01:37:55.3779217Z 2022-11-23T01:37:55.3779515Z [2022-11-23 01:35:17,536] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3779613Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.3779712Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3779864Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.3779983Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.3780068Z 8 RETURN_VALUE 2022-11-23T01:37:55.3780077Z 2022-11-23T01:37:55.3780137Z 2022-11-23T01:37:55.3780426Z [2022-11-23 01:35:17,536] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3780536Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_383) 2022-11-23T01:37:55.3780626Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3780718Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3780781Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.3780871Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.3780974Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3781075Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3781162Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3781238Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.3781338Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3781428Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.3781492Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.3781592Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3781681Z 26 LOAD_CONST 3 (2) 2022-11-23T01:37:55.3781755Z 28 BINARY_SUBSCR 2022-11-23T01:37:55.3781964Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3782057Z 32 LOAD_CONST 4 (3) 2022-11-23T01:37:55.3782134Z 34 BINARY_SUBSCR 2022-11-23T01:37:55.3782220Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3782311Z 38 LOAD_CONST 5 (4) 2022-11-23T01:37:55.3782387Z 40 BINARY_SUBSCR 2022-11-23T01:37:55.3782489Z 42 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3782578Z 44 LOAD_CONST 6 (5) 2022-11-23T01:37:55.3782654Z 46 BINARY_SUBSCR 2022-11-23T01:37:55.3782814Z 48 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3782890Z 50 LOAD_CONST 7 (6) 2022-11-23T01:37:55.3782965Z 52 BINARY_SUBSCR 2022-11-23T01:37:55.3783066Z 54 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3783154Z 56 LOAD_CONST 8 (7) 2022-11-23T01:37:55.3783230Z 58 BINARY_SUBSCR 2022-11-23T01:37:55.3783321Z 60 BUILD_TUPLE 8 2022-11-23T01:37:55.3783399Z 62 RETURN_VALUE 2022-11-23T01:37:55.3783404Z 2022-11-23T01:37:55.3783452Z 2022-11-23T01:37:55.3783644Z [2022-11-23 01:35:17,537] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.3783720Z - 2022-11-23T01:37:55.3783844Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.3783909Z { 2022-11-23T01:37:55.3784054Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.3784246Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.3784356Z 'obj_weakref': None 2022-11-23T01:37:55.3784585Z 'guarded_class': 2022-11-23T01:37:55.3784651Z } 2022-11-23T01:37:55.3784715Z 2022-11-23T01:37:55.3784789Z - 2022-11-23T01:37:55.3784917Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.3784982Z { 2022-11-23T01:37:55.3785114Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.3785222Z 'code': None, 2022-11-23T01:37:55.3785437Z 'obj_weakref': 2022-11-23T01:37:55.3785694Z 'guarded_class': 2022-11-23T01:37:55.3785757Z } 2022-11-23T01:37:55.3785818Z 2022-11-23T01:37:55.3785891Z - 2022-11-23T01:37:55.3786013Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.3786079Z { 2022-11-23T01:37:55.3786219Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.3786391Z 'code': ['___check_obj_id(model, 140538744430816)'], 2022-11-23T01:37:55.3786516Z 'obj_weakref': None 2022-11-23T01:37:55.3786755Z 'guarded_class': 2022-11-23T01:37:55.3786819Z } 2022-11-23T01:37:55.3786868Z 2022-11-23T01:37:55.3786943Z - 2022-11-23T01:37:55.3787069Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.3787131Z { 2022-11-23T01:37:55.3787272Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.3787490Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.3787609Z 'obj_weakref': None 2022-11-23T01:37:55.3787818Z 'guarded_class': 2022-11-23T01:37:55.3787888Z } 2022-11-23T01:37:55.3787951Z 2022-11-23T01:37:55.3788021Z - 2022-11-23T01:37:55.3788249Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.3788317Z { 2022-11-23T01:37:55.3788445Z 'guard_types': None, 2022-11-23T01:37:55.3788540Z 'code': None, 2022-11-23T01:37:55.3788697Z 'obj_weakref': None 2022-11-23T01:37:55.3788826Z 'guarded_class': None 2022-11-23T01:37:55.3788892Z } 2022-11-23T01:37:55.3788955Z 2022-11-23T01:37:55.3789223Z [2022-11-23 01:35:17,552] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 375 2022-11-23T01:37:55.3789229Z 2022-11-23T01:37:55.3789323Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.3789380Z import torch 2022-11-23T01:37:55.3789448Z import random 2022-11-23T01:37:55.3789564Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.3789721Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.3789727Z 2022-11-23T01:37:55.3789807Z aten = torch.ops.aten 2022-11-23T01:37:55.3789941Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.3790032Z async_compile = AsyncCompile() 2022-11-23T01:37:55.3790038Z 2022-11-23T01:37:55.3790042Z 2022-11-23T01:37:55.3790181Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.3790379Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.3790497Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:37:55.3790599Z float* __restrict__ in_out_ptr1, 2022-11-23T01:37:55.3790701Z float* __restrict__ in_out_ptr2, 2022-11-23T01:37:55.3790799Z float* __restrict__ in_out_ptr3, 2022-11-23T01:37:55.3790898Z float* __restrict__ in_out_ptr4, 2022-11-23T01:37:55.3790997Z float* __restrict__ in_out_ptr5, 2022-11-23T01:37:55.3791096Z float* __restrict__ in_out_ptr6, 2022-11-23T01:37:55.3791189Z const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.3791290Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.3791384Z float* __restrict__ out_ptr2, 2022-11-23T01:37:55.3791481Z float* __restrict__ out_ptr4, 2022-11-23T01:37:55.3791573Z float* __restrict__ out_ptr5, 2022-11-23T01:37:55.3791664Z float* __restrict__ out_ptr7, 2022-11-23T01:37:55.3791762Z float* __restrict__ out_ptr10, 2022-11-23T01:37:55.3791848Z float* __restrict__ out_ptr12, 2022-11-23T01:37:55.3791944Z float* __restrict__ out_ptr14) 2022-11-23T01:37:55.3792007Z { 2022-11-23T01:37:55.3792094Z auto out_ptr1 = in_out_ptr0; 2022-11-23T01:37:55.3792177Z auto out_ptr3 = in_out_ptr1; 2022-11-23T01:37:55.3792262Z auto out_ptr6 = in_out_ptr2; 2022-11-23T01:37:55.3792343Z auto out_ptr8 = in_out_ptr3; 2022-11-23T01:37:55.3792410Z auto out_ptr9 = in_out_ptr4; 2022-11-23T01:37:55.3792494Z auto out_ptr11 = in_out_ptr5; 2022-11-23T01:37:55.3792575Z auto out_ptr13 = in_out_ptr6; 2022-11-23T01:37:55.3792635Z { 2022-11-23T01:37:55.3792840Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:37:55.3792917Z float tmp1 = 0; 2022-11-23T01:37:55.3793038Z auto tmp1_vec = at::vec::Vectorized(tmp1); 2022-11-23T01:37:55.3793108Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:37:55.3793169Z { 2022-11-23T01:37:55.3793302Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.3793382Z tmp1_vec += tmp0; 2022-11-23T01:37:55.3793444Z } 2022-11-23T01:37:55.3793638Z tmp1 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp1_vec); 2022-11-23T01:37:55.3793756Z #pragma omp simd simdlen(4) reduction(+:tmp1) 2022-11-23T01:37:55.3793841Z for(long i0=256; i0<256; i0+=1) 2022-11-23T01:37:55.3793891Z { 2022-11-23T01:37:55.3793977Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.3794049Z tmp1 += tmp0; 2022-11-23T01:37:55.3794143Z } 2022-11-23T01:37:55.3794219Z out_ptr0[0] = tmp1; 2022-11-23T01:37:55.3794281Z } 2022-11-23T01:37:55.3794328Z { 2022-11-23T01:37:55.3794516Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:37:55.3794590Z float tmp6 = 0; 2022-11-23T01:37:55.3794709Z auto tmp6_vec = at::vec::Vectorized(tmp6); 2022-11-23T01:37:55.3794786Z float tmp7 = 0; 2022-11-23T01:37:55.3794902Z auto tmp7_vec = at::vec::Vectorized(tmp7); 2022-11-23T01:37:55.3794984Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:37:55.3795078Z { 2022-11-23T01:37:55.3795199Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.3795324Z auto tmp1 = at::vec::Vectorized(out_ptr0[0]); 2022-11-23T01:37:55.3795461Z auto tmp2 = at::vec::Vectorized(static_cast(256)); 2022-11-23T01:37:55.3795548Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:37:55.3795679Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:37:55.3795767Z auto tmp5 = tmp4.pow(2); 2022-11-23T01:37:55.3795843Z tmp6_vec += tmp5; 2022-11-23T01:37:55.3795923Z tmp7_vec += tmp0; 2022-11-23T01:37:55.3795973Z } 2022-11-23T01:37:55.3796166Z tmp6 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp6_vec); 2022-11-23T01:37:55.3796360Z tmp7 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp7_vec); 2022-11-23T01:37:55.3796502Z #pragma omp simd simdlen(4) reduction(+:tmp6) reduction(+:tmp7) 2022-11-23T01:37:55.3796585Z for(long i0=256; i0<256; i0+=1) 2022-11-23T01:37:55.3796649Z { 2022-11-23T01:37:55.3796730Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.3796811Z auto tmp1 = out_ptr0[0]; 2022-11-23T01:37:55.3796902Z auto tmp2 = static_cast(256); 2022-11-23T01:37:55.3796985Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:37:55.3797110Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:37:55.3797189Z auto tmp5 = tmp4 * tmp4; 2022-11-23T01:37:55.3797264Z tmp6 += tmp5; 2022-11-23T01:37:55.3797335Z tmp7 += tmp0; 2022-11-23T01:37:55.3797383Z } 2022-11-23T01:37:55.3797460Z out_ptr1[0] = tmp6; 2022-11-23T01:37:55.3797538Z out_ptr2[0] = tmp7; 2022-11-23T01:37:55.3797596Z } 2022-11-23T01:37:55.3797654Z { 2022-11-23T01:37:55.3797842Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:37:55.3797920Z float tmp6 = 0; 2022-11-23T01:37:55.3798040Z auto tmp6_vec = at::vec::Vectorized(tmp6); 2022-11-23T01:37:55.3798102Z float tmp7 = 0; 2022-11-23T01:37:55.3798219Z auto tmp7_vec = at::vec::Vectorized(tmp7); 2022-11-23T01:37:55.3798301Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:37:55.3798365Z { 2022-11-23T01:37:55.3798498Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.3798622Z auto tmp1 = at::vec::Vectorized(out_ptr2[0]); 2022-11-23T01:37:55.3798760Z auto tmp2 = at::vec::Vectorized(static_cast(256)); 2022-11-23T01:37:55.3798834Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:37:55.3798963Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:37:55.3799047Z auto tmp5 = tmp4.pow(2); 2022-11-23T01:37:55.3799125Z tmp6_vec += tmp5; 2022-11-23T01:37:55.3799206Z tmp7_vec += tmp0; 2022-11-23T01:37:55.3799269Z } 2022-11-23T01:37:55.3799467Z tmp6 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp6_vec); 2022-11-23T01:37:55.3799688Z tmp7 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp7_vec); 2022-11-23T01:37:55.3799816Z #pragma omp simd simdlen(4) reduction(+:tmp6) reduction(+:tmp7) 2022-11-23T01:37:55.3799901Z for(long i0=256; i0<256; i0+=1) 2022-11-23T01:37:55.3799962Z { 2022-11-23T01:37:55.3800045Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.3800128Z auto tmp1 = out_ptr2[0]; 2022-11-23T01:37:55.3800228Z auto tmp2 = static_cast(256); 2022-11-23T01:37:55.3800311Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:37:55.3800423Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:37:55.3800536Z auto tmp5 = tmp4 * tmp4; 2022-11-23T01:37:55.3800607Z tmp6 += tmp5; 2022-11-23T01:37:55.3800679Z tmp7 += tmp0; 2022-11-23T01:37:55.3800738Z } 2022-11-23T01:37:55.3800814Z out_ptr3[0] = tmp6; 2022-11-23T01:37:55.3800886Z out_ptr4[0] = tmp7; 2022-11-23T01:37:55.3800933Z } 2022-11-23T01:37:55.3801009Z #pragma GCC ivdep 2022-11-23T01:37:55.3801090Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:37:55.3801151Z { 2022-11-23T01:37:55.3801210Z { 2022-11-23T01:37:55.3801397Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:37:55.3801476Z float tmp1 = 0; 2022-11-23T01:37:55.3801583Z auto tmp1_vec = at::vec::Vectorized(tmp1); 2022-11-23T01:37:55.3801664Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:37:55.3801728Z { 2022-11-23T01:37:55.3801867Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i0) + (8*i1)); 2022-11-23T01:37:55.3801951Z tmp1_vec += tmp0; 2022-11-23T01:37:55.3802016Z } 2022-11-23T01:37:55.3802208Z tmp1 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp1_vec); 2022-11-23T01:37:55.3802325Z #pragma omp simd simdlen(4) reduction(+:tmp1) 2022-11-23T01:37:55.3802396Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:37:55.3802458Z { 2022-11-23T01:37:55.3802554Z auto tmp0 = in_ptr0[i1 + (8*i0)]; 2022-11-23T01:37:55.3802627Z tmp1 += tmp0; 2022-11-23T01:37:55.3802691Z } 2022-11-23T01:37:55.3802772Z out_ptr5[i0] = tmp1; 2022-11-23T01:37:55.3802834Z } 2022-11-23T01:37:55.3802882Z } 2022-11-23T01:37:55.3802958Z #pragma GCC ivdep 2022-11-23T01:37:55.3803037Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:37:55.3803099Z { 2022-11-23T01:37:55.3803161Z { 2022-11-23T01:37:55.3803351Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:37:55.3803424Z float tmp6 = 0; 2022-11-23T01:37:55.3803549Z auto tmp6_vec = at::vec::Vectorized(tmp6); 2022-11-23T01:37:55.3803624Z float tmp7 = 0; 2022-11-23T01:37:55.3803740Z auto tmp7_vec = at::vec::Vectorized(tmp7); 2022-11-23T01:37:55.3803809Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:37:55.3803873Z { 2022-11-23T01:37:55.3804013Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i0) + (8*i1)); 2022-11-23T01:37:55.3804138Z auto tmp1 = at::vec::Vectorized(out_ptr5[i0]); 2022-11-23T01:37:55.3804272Z auto tmp2 = at::vec::Vectorized(static_cast(8)); 2022-11-23T01:37:55.3804360Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:37:55.3804494Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:37:55.3804585Z auto tmp5 = tmp4.pow(2); 2022-11-23T01:37:55.3804651Z tmp6_vec += tmp5; 2022-11-23T01:37:55.3804728Z tmp7_vec += tmp0; 2022-11-23T01:37:55.3804794Z } 2022-11-23T01:37:55.3804987Z tmp6 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp6_vec); 2022-11-23T01:37:55.3805210Z tmp7 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp7_vec); 2022-11-23T01:37:55.3805349Z #pragma omp simd simdlen(4) reduction(+:tmp6) reduction(+:tmp7) 2022-11-23T01:37:55.3805433Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:37:55.3805496Z { 2022-11-23T01:37:55.3805582Z auto tmp0 = in_ptr0[i1 + (8*i0)]; 2022-11-23T01:37:55.3805669Z auto tmp1 = out_ptr5[i0]; 2022-11-23T01:37:55.3805769Z auto tmp2 = static_cast(8); 2022-11-23T01:37:55.3805887Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:37:55.3806020Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:37:55.3806105Z auto tmp5 = tmp4 * tmp4; 2022-11-23T01:37:55.3806181Z tmp6 += tmp5; 2022-11-23T01:37:55.3806242Z tmp7 += tmp0; 2022-11-23T01:37:55.3806304Z } 2022-11-23T01:37:55.3806387Z out_ptr6[i0] = tmp6; 2022-11-23T01:37:55.3806467Z out_ptr7[i0] = tmp7; 2022-11-23T01:37:55.3806535Z } 2022-11-23T01:37:55.3806600Z } 2022-11-23T01:37:55.3806664Z #pragma GCC ivdep 2022-11-23T01:37:55.3806745Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:37:55.3806811Z { 2022-11-23T01:37:55.3806877Z { 2022-11-23T01:37:55.3807067Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:37:55.3807147Z float tmp6 = 0; 2022-11-23T01:37:55.3807270Z auto tmp6_vec = at::vec::Vectorized(tmp6); 2022-11-23T01:37:55.3807358Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:37:55.3807408Z { 2022-11-23T01:37:55.3807550Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i0) + (8*i1)); 2022-11-23T01:37:55.3807680Z auto tmp1 = at::vec::Vectorized(out_ptr7[i0]); 2022-11-23T01:37:55.3807821Z auto tmp2 = at::vec::Vectorized(static_cast(8)); 2022-11-23T01:37:55.3807912Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:37:55.3808048Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:37:55.3808138Z auto tmp5 = tmp4.pow(2); 2022-11-23T01:37:55.3808219Z tmp6_vec += tmp5; 2022-11-23T01:37:55.3808271Z } 2022-11-23T01:37:55.3808464Z tmp6 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp6_vec); 2022-11-23T01:37:55.3808587Z #pragma omp simd simdlen(4) reduction(+:tmp6) 2022-11-23T01:37:55.3808673Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:37:55.3808739Z { 2022-11-23T01:37:55.3808837Z auto tmp0 = in_ptr0[i1 + (8*i0)]; 2022-11-23T01:37:55.3808927Z auto tmp1 = out_ptr7[i0]; 2022-11-23T01:37:55.3809014Z auto tmp2 = static_cast(8); 2022-11-23T01:37:55.3809107Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:37:55.3809240Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:37:55.3809327Z auto tmp5 = tmp4 * tmp4; 2022-11-23T01:37:55.3809404Z tmp6 += tmp5; 2022-11-23T01:37:55.3809468Z } 2022-11-23T01:37:55.3809550Z out_ptr8[i0] = tmp6; 2022-11-23T01:37:55.3809601Z } 2022-11-23T01:37:55.3809663Z } 2022-11-23T01:37:55.3809725Z { 2022-11-23T01:37:55.3809911Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:37:55.3809988Z float tmp6 = 0; 2022-11-23T01:37:55.3810110Z auto tmp6_vec = at::vec::Vectorized(tmp6); 2022-11-23T01:37:55.3810193Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:37:55.3810244Z { 2022-11-23T01:37:55.3810376Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.3810500Z auto tmp1 = at::vec::Vectorized(out_ptr4[0]); 2022-11-23T01:37:55.3810667Z auto tmp2 = at::vec::Vectorized(static_cast(256)); 2022-11-23T01:37:55.3810757Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:37:55.3810886Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:37:55.3810971Z auto tmp5 = tmp4.pow(2); 2022-11-23T01:37:55.3811048Z tmp6_vec += tmp5; 2022-11-23T01:37:55.3811099Z } 2022-11-23T01:37:55.3811294Z tmp6 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp6_vec); 2022-11-23T01:37:55.3811412Z #pragma omp simd simdlen(4) reduction(+:tmp6) 2022-11-23T01:37:55.3811528Z for(long i0=256; i0<256; i0+=1) 2022-11-23T01:37:55.3811591Z { 2022-11-23T01:37:55.3811673Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.3811754Z auto tmp1 = out_ptr4[0]; 2022-11-23T01:37:55.3811842Z auto tmp2 = static_cast(256); 2022-11-23T01:37:55.3811927Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:37:55.3812053Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:37:55.3812135Z auto tmp5 = tmp4 * tmp4; 2022-11-23T01:37:55.3812210Z tmp6 += tmp5; 2022-11-23T01:37:55.3812271Z } 2022-11-23T01:37:55.3812345Z out_ptr9[0] = tmp6; 2022-11-23T01:37:55.3812393Z } 2022-11-23T01:37:55.3812468Z #pragma GCC ivdep 2022-11-23T01:37:55.3812547Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:37:55.3812607Z { 2022-11-23T01:37:55.3812667Z { 2022-11-23T01:37:55.3812729Z { 2022-11-23T01:37:55.3812795Z float tmp1 = 0; 2022-11-23T01:37:55.3812887Z for(long i1=0; i1<8; i1+=1) 2022-11-23T01:37:55.3812950Z { 2022-11-23T01:37:55.3813017Z { 2022-11-23T01:37:55.3813119Z auto tmp0 = in_ptr0[i0 + (32*i1)]; 2022-11-23T01:37:55.3813199Z tmp1 += tmp0; 2022-11-23T01:37:55.3813264Z } 2022-11-23T01:37:55.3813316Z } 2022-11-23T01:37:55.3813395Z out_ptr10[i0] = tmp1; 2022-11-23T01:37:55.3813456Z } 2022-11-23T01:37:55.3813517Z } 2022-11-23T01:37:55.3813576Z } 2022-11-23T01:37:55.3813650Z #pragma GCC ivdep 2022-11-23T01:37:55.3813728Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:37:55.3813776Z { 2022-11-23T01:37:55.3813837Z { 2022-11-23T01:37:55.3813898Z { 2022-11-23T01:37:55.3813975Z float tmp6 = 0; 2022-11-23T01:37:55.3814050Z float tmp7 = 0; 2022-11-23T01:37:55.3814138Z for(long i1=0; i1<8; i1+=1) 2022-11-23T01:37:55.3814191Z { 2022-11-23T01:37:55.3814256Z { 2022-11-23T01:37:55.3814357Z auto tmp0 = in_ptr0[i0 + (32*i1)]; 2022-11-23T01:37:55.3814452Z auto tmp1 = out_ptr10[i0]; 2022-11-23T01:37:55.3814557Z auto tmp2 = static_cast(8); 2022-11-23T01:37:55.3814651Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:37:55.3814797Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:37:55.3814888Z auto tmp5 = tmp4 * tmp4; 2022-11-23T01:37:55.3814956Z tmp6 += tmp5; 2022-11-23T01:37:55.3815030Z tmp7 += tmp0; 2022-11-23T01:37:55.3815096Z } 2022-11-23T01:37:55.3815159Z } 2022-11-23T01:37:55.3815240Z out_ptr11[i0] = tmp6; 2022-11-23T01:37:55.3815318Z out_ptr12[i0] = tmp7; 2022-11-23T01:37:55.3815369Z } 2022-11-23T01:37:55.3815432Z } 2022-11-23T01:37:55.3815490Z } 2022-11-23T01:37:55.3815564Z #pragma GCC ivdep 2022-11-23T01:37:55.3815643Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:37:55.3815705Z { 2022-11-23T01:37:55.3815766Z { 2022-11-23T01:37:55.3815815Z { 2022-11-23T01:37:55.3815890Z float tmp6 = 0; 2022-11-23T01:37:55.3816006Z for(long i1=0; i1<8; i1+=1) 2022-11-23T01:37:55.3816073Z { 2022-11-23T01:37:55.3816137Z { 2022-11-23T01:37:55.3816238Z auto tmp0 = in_ptr0[i0 + (32*i1)]; 2022-11-23T01:37:55.3816332Z auto tmp1 = out_ptr12[i0]; 2022-11-23T01:37:55.3816423Z auto tmp2 = static_cast(8); 2022-11-23T01:37:55.3816513Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:37:55.3816656Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:37:55.3816747Z auto tmp5 = tmp4 * tmp4; 2022-11-23T01:37:55.3816862Z tmp6 += tmp5; 2022-11-23T01:37:55.3816929Z } 2022-11-23T01:37:55.3816991Z } 2022-11-23T01:37:55.3817058Z out_ptr13[i0] = tmp6; 2022-11-23T01:37:55.3817118Z } 2022-11-23T01:37:55.3817178Z } 2022-11-23T01:37:55.3817239Z } 2022-11-23T01:37:55.3817297Z { 2022-11-23T01:37:55.3817357Z { 2022-11-23T01:37:55.3817430Z auto tmp0 = out_ptr1[0]; 2022-11-23T01:37:55.3817528Z auto tmp1 = static_cast(255); 2022-11-23T01:37:55.3817610Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:55.3817691Z in_out_ptr0[0] = tmp2; 2022-11-23T01:37:55.3817752Z } 2022-11-23T01:37:55.3817811Z } 2022-11-23T01:37:55.3817870Z { 2022-11-23T01:37:55.3817918Z { 2022-11-23T01:37:55.3818000Z auto tmp0 = out_ptr3[0]; 2022-11-23T01:37:55.3818097Z auto tmp1 = static_cast(256); 2022-11-23T01:37:55.3818180Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:55.3818261Z in_out_ptr1[0] = tmp2; 2022-11-23T01:37:55.3818321Z } 2022-11-23T01:37:55.3818379Z } 2022-11-23T01:37:55.3818444Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:55.3818501Z { 2022-11-23T01:37:55.3818637Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr6 + 8*i0); 2022-11-23T01:37:55.3818930Z auto tmp1 = at::vec::Vectorized(static_cast(7)); 2022-11-23T01:37:55.3819068Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:55.3819198Z tmp2.store(in_out_ptr2 + 8*i0); 2022-11-23T01:37:55.3819263Z } 2022-11-23T01:37:55.3819340Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.3819419Z for(long i0=32; i0<32; i0+=1) 2022-11-23T01:37:55.3819481Z { 2022-11-23T01:37:55.3819561Z auto tmp0 = out_ptr6[i0]; 2022-11-23T01:37:55.3819656Z auto tmp1 = static_cast(7); 2022-11-23T01:37:55.3819737Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:55.3819816Z in_out_ptr2[i0] = tmp2; 2022-11-23T01:37:55.3819867Z } 2022-11-23T01:37:55.3819946Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:55.3820006Z { 2022-11-23T01:37:55.3820143Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr8 + 8*i0); 2022-11-23T01:37:55.3820274Z auto tmp1 = at::vec::Vectorized(static_cast(8)); 2022-11-23T01:37:55.3820356Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:55.3820447Z tmp2.store(in_out_ptr3 + 8*i0); 2022-11-23T01:37:55.3820495Z } 2022-11-23T01:37:55.3820580Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.3820659Z for(long i0=32; i0<32; i0+=1) 2022-11-23T01:37:55.3820721Z { 2022-11-23T01:37:55.3820802Z auto tmp0 = out_ptr8[i0]; 2022-11-23T01:37:55.3820895Z auto tmp1 = static_cast(8); 2022-11-23T01:37:55.3820975Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:55.3821041Z in_out_ptr3[i0] = tmp2; 2022-11-23T01:37:55.3821099Z } 2022-11-23T01:37:55.3821160Z { 2022-11-23T01:37:55.3821221Z { 2022-11-23T01:37:55.3821305Z auto tmp0 = out_ptr9[0]; 2022-11-23T01:37:55.3821404Z auto tmp1 = static_cast(256); 2022-11-23T01:37:55.3821475Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:55.3821565Z auto tmp3 = std::sqrt(tmp2); 2022-11-23T01:37:55.3821645Z in_out_ptr4[0] = tmp3; 2022-11-23T01:37:55.3821707Z } 2022-11-23T01:37:55.3821833Z } 2022-11-23T01:37:55.3821914Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:55.3821976Z { 2022-11-23T01:37:55.3822097Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr11 + 8*i0); 2022-11-23T01:37:55.3822227Z auto tmp1 = at::vec::Vectorized(static_cast(7)); 2022-11-23T01:37:55.3822309Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:55.3822391Z auto tmp3 = tmp2.sqrt(); 2022-11-23T01:37:55.3822481Z tmp3.store(in_out_ptr5 + 8*i0); 2022-11-23T01:37:55.3822542Z } 2022-11-23T01:37:55.3822628Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.3822757Z for(long i0=32; i0<32; i0+=1) 2022-11-23T01:37:55.3822817Z { 2022-11-23T01:37:55.3822899Z auto tmp0 = out_ptr11[i0]; 2022-11-23T01:37:55.3822993Z auto tmp1 = static_cast(7); 2022-11-23T01:37:55.3823075Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:55.3823166Z auto tmp3 = std::sqrt(tmp2); 2022-11-23T01:37:55.3823249Z in_out_ptr5[i0] = tmp3; 2022-11-23T01:37:55.3823296Z } 2022-11-23T01:37:55.3823373Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:55.3823433Z { 2022-11-23T01:37:55.3823566Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr13 + 8*i0); 2022-11-23T01:37:55.3823697Z auto tmp1 = at::vec::Vectorized(static_cast(8)); 2022-11-23T01:37:55.3823779Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:55.3823859Z auto tmp3 = tmp2.sqrt(); 2022-11-23T01:37:55.3823936Z tmp3.store(in_out_ptr6 + 8*i0); 2022-11-23T01:37:55.3823996Z } 2022-11-23T01:37:55.3824082Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.3824165Z for(long i0=32; i0<32; i0+=1) 2022-11-23T01:37:55.3824224Z { 2022-11-23T01:37:55.3824306Z auto tmp0 = out_ptr13[i0]; 2022-11-23T01:37:55.3824401Z auto tmp1 = static_cast(8); 2022-11-23T01:37:55.3824469Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:55.3824558Z auto tmp3 = std::sqrt(tmp2); 2022-11-23T01:37:55.3824639Z in_out_ptr6[i0] = tmp3; 2022-11-23T01:37:55.3824698Z } 2022-11-23T01:37:55.3824772Z #pragma GCC ivdep 2022-11-23T01:37:55.3824847Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.3824907Z { 2022-11-23T01:37:55.3824974Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:37:55.3825036Z { 2022-11-23T01:37:55.3825175Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (32*i0)); 2022-11-23T01:37:55.3825317Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr0 + 8 + (8*i1) + (32*i0)); 2022-11-23T01:37:55.3825457Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr0 + 16 + (8*i1) + (32*i0)); 2022-11-23T01:37:55.3825599Z auto tmp5 = at::vec::Vectorized::loadu(in_ptr0 + 24 + (8*i1) + (32*i0)); 2022-11-23T01:37:55.3825683Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3825766Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.3825835Z auto tmp6 = tmp4 + tmp5; 2022-11-23T01:37:55.3825972Z auto tmp7 = at::vec::Vectorized(static_cast(4)); 2022-11-23T01:37:55.3826056Z auto tmp8 = tmp6 / tmp7; 2022-11-23T01:37:55.3826202Z auto tmp9 = tmp0 - tmp8; 2022-11-23T01:37:55.3826288Z auto tmp10 = tmp9.pow(2); 2022-11-23T01:37:55.3826417Z auto tmp11 = tmp1 - tmp8; 2022-11-23T01:37:55.3826503Z auto tmp12 = tmp11.pow(2); 2022-11-23T01:37:55.3826576Z auto tmp13 = tmp10 + tmp12; 2022-11-23T01:37:55.3826701Z auto tmp14 = tmp3 - tmp8; 2022-11-23T01:37:55.3826786Z auto tmp15 = tmp14.pow(2); 2022-11-23T01:37:55.3826873Z auto tmp16 = tmp13 + tmp15; 2022-11-23T01:37:55.3827000Z auto tmp17 = tmp5 - tmp8; 2022-11-23T01:37:55.3827084Z auto tmp18 = tmp17.pow(2); 2022-11-23T01:37:55.3827168Z auto tmp19 = tmp16 + tmp18; 2022-11-23T01:37:55.3827290Z auto tmp20 = at::vec::Vectorized(static_cast(3)); 2022-11-23T01:37:55.3827407Z auto tmp21 = tmp19 / tmp20; 2022-11-23T01:37:55.3827495Z auto tmp22 = tmp21.sqrt(); 2022-11-23T01:37:55.3827596Z tmp22.store(out_ptr14 + (8*i0) + (8*i1)); 2022-11-23T01:37:55.3827657Z } 2022-11-23T01:37:55.3827745Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.3827824Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:37:55.3827874Z { 2022-11-23T01:37:55.3827967Z auto tmp0 = in_ptr0[i1 + (32*i0)]; 2022-11-23T01:37:55.3828062Z auto tmp1 = in_ptr0[8 + i1 + (32*i0)]; 2022-11-23T01:37:55.3828250Z auto tmp3 = in_ptr0[16 + i1 + (32*i0)]; 2022-11-23T01:37:55.3828381Z auto tmp5 = in_ptr0[24 + i1 + (32*i0)]; 2022-11-23T01:37:55.3828466Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3828547Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.3828615Z auto tmp6 = tmp4 + tmp5; 2022-11-23T01:37:55.3828712Z auto tmp7 = static_cast(4); 2022-11-23T01:37:55.3828798Z auto tmp8 = tmp6 / tmp7; 2022-11-23T01:37:55.3828929Z auto tmp9 = tmp0 - tmp8; 2022-11-23T01:37:55.3829013Z auto tmp10 = tmp9 * tmp9; 2022-11-23T01:37:55.3829141Z auto tmp11 = tmp1 - tmp8; 2022-11-23T01:37:55.3829227Z auto tmp12 = tmp11 * tmp11; 2022-11-23T01:37:55.3829297Z auto tmp13 = tmp10 + tmp12; 2022-11-23T01:37:55.3829423Z auto tmp14 = tmp3 - tmp8; 2022-11-23T01:37:55.3829507Z auto tmp15 = tmp14 * tmp14; 2022-11-23T01:37:55.3829589Z auto tmp16 = tmp13 + tmp15; 2022-11-23T01:37:55.3829720Z auto tmp17 = tmp5 - tmp8; 2022-11-23T01:37:55.3829806Z auto tmp18 = tmp17 * tmp17; 2022-11-23T01:37:55.3829888Z auto tmp19 = tmp16 + tmp18; 2022-11-23T01:37:55.3829976Z auto tmp20 = static_cast(3); 2022-11-23T01:37:55.3830059Z auto tmp21 = tmp19 / tmp20; 2022-11-23T01:37:55.3830153Z auto tmp22 = std::sqrt(tmp21); 2022-11-23T01:37:55.3830244Z out_ptr14[i1 + (8*i0)] = tmp22; 2022-11-23T01:37:55.3830307Z } 2022-11-23T01:37:55.3830368Z } 2022-11-23T01:37:55.3830427Z } 2022-11-23T01:37:55.3830493Z ''') 2022-11-23T01:37:55.3830500Z 2022-11-23T01:37:55.3830517Z 2022-11-23T01:37:55.3830594Z async_compile.wait(globals()) 2022-11-23T01:37:55.3830669Z del async_compile 2022-11-23T01:37:55.3830674Z 2022-11-23T01:37:55.3830744Z def call(args): 2022-11-23T01:37:55.3830812Z arg0_1, = args 2022-11-23T01:37:55.3830882Z args.clear() 2022-11-23T01:37:55.3831096Z buf0 = empty_strided((1, 1, 1, 1), (1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3831286Z buf1 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3831480Z buf2 = empty_strided((1, 1, 1, 1), (1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3831663Z buf3 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3831870Z buf8 = empty_strided((1, 1, 1, 1), (1, 1, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3832080Z buf4 = empty_strided((2, 4, 4, 1), (16, 4, 1, 32), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3832284Z buf5 = empty_strided((2, 4, 4), (16, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3832490Z buf6 = empty_strided((2, 4, 4, 1), (16, 4, 1, 32), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3832696Z buf7 = empty_strided((2, 4, 4), (16, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3832877Z buf9 = empty_strided((), (), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3833077Z buf10 = empty_strided((1, 1, 4, 8), (32, 32, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3833273Z buf11 = empty_strided((4, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3833481Z buf12 = empty_strided((1, 1, 4, 8), (32, 32, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3833740Z buf13 = empty_strided((4, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3833828Z buf14 = buf1; del buf1 # reuse 2022-11-23T01:37:55.3833913Z buf15 = buf3; del buf3 # reuse 2022-11-23T01:37:55.3833996Z buf16 = buf5; del buf5 # reuse 2022-11-23T01:37:55.3834063Z buf17 = buf7; del buf7 # reuse 2022-11-23T01:37:55.3834145Z buf18 = buf9; del buf9 # reuse 2022-11-23T01:37:55.3834231Z buf19 = buf11; del buf11 # reuse 2022-11-23T01:37:55.3834315Z buf20 = buf13; del buf13 # reuse 2022-11-23T01:37:55.3834529Z buf21 = empty_strided((2, 4, 1, 8), (32, 8, 64, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3835035Z kernel_cpp_0(c_void_p(buf14.data_ptr()), c_void_p(buf15.data_ptr()), c_void_p(buf16.data_ptr()), c_void_p(buf17.data_ptr()), c_void_p(buf18.data_ptr()), c_void_p(buf19.data_ptr()), c_void_p(buf20.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf8.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf10.data_ptr()), c_void_p(buf12.data_ptr()), c_void_p(buf21.data_ptr())) 2022-11-23T01:37:55.3835112Z del arg0_1 2022-11-23T01:37:55.3835235Z return (buf14, buf15, buf16, buf17, buf18, buf19, buf20, buf21, ) 2022-11-23T01:37:55.3835240Z 2022-11-23T01:37:55.3835244Z 2022-11-23T01:37:55.3835323Z if __name__ == "__main__": 2022-11-23T01:37:55.3835441Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.3835553Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.3835773Z arg0_1 = rand_strided((2, 4, 4, 8), (128, 32, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3835886Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.3836272Z [2022-11-23 01:35:19,347] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fb/cfbklrelsagfzuwby2wi4zyhbyuqokzpyuh36mip4f35dcde4c6w.py 2022-11-23T01:37:55.3836547Z [2022-11-23 01:35:19,347] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 375 2022-11-23T01:37:55.3836555Z 2022-11-23T01:37:55.3836626Z ok (1.851s) 2022-11-23T01:37:55.3836944Z test_strided_inputs_cpu (__main__.CpuTests) ... [2022-11-23 01:35:19,357] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:37:55.3837219Z [2022-11-23 01:35:19,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3204 2022-11-23T01:37:55.3837421Z [2022-11-23 01:35:19,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.3837665Z [2022-11-23 01:35:19,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:37:55.3837946Z [2022-11-23 01:35:19,357] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3838197Z [2022-11-23 01:35:19,359] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.3838438Z [2022-11-23 01:35:19,359] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:37:55.3838684Z [2022-11-23 01:35:19,360] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:37:55.3838926Z [2022-11-23 01:35:19,364] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:37:55.3839120Z [2022-11-23 01:35:19,364] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.3839258Z __compiled_fn_384 .3118 opcode, name, target, args, kwargs 2022-11-23T01:37:55.3839330Z placeholder, x, x, (), {} 2022-11-23T01:37:55.3839412Z placeholder, y, y, (), {} 2022-11-23T01:37:55.3839585Z call_function, add, , (x, y), {} 2022-11-23T01:37:55.3839683Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.3839688Z 2022-11-23T01:37:55.3839968Z [2022-11-23 01:35:19,365] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 3202 2022-11-23T01:37:55.3840098Z 3204 0 LOAD_FAST 0 (x) 2022-11-23T01:37:55.3840195Z 2 LOAD_FAST 1 (y) 2022-11-23T01:37:55.3840271Z 4 BINARY_ADD 2022-11-23T01:37:55.3840333Z 6 RETURN_VALUE 2022-11-23T01:37:55.3840338Z 2022-11-23T01:37:55.3840398Z 2022-11-23T01:37:55.3840681Z [2022-11-23 01:35:19,365] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 3202 2022-11-23T01:37:55.3840792Z 3202 0 LOAD_GLOBAL 0 (__compiled_fn_384) 2022-11-23T01:37:55.3840883Z 2 LOAD_FAST 0 (x) 2022-11-23T01:37:55.3841004Z 4 LOAD_FAST 1 (y) 2022-11-23T01:37:55.3841098Z 6 CALL_FUNCTION 2 2022-11-23T01:37:55.3841178Z 8 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.3841250Z 10 RETURN_VALUE 2022-11-23T01:37:55.3841255Z 2022-11-23T01:37:55.3841317Z 2022-11-23T01:37:55.3841505Z [2022-11-23 01:35:19,365] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.3841580Z - 2022-11-23T01:37:55.3841704Z local 'x' TENSOR_MATCH 2022-11-23T01:37:55.3841771Z { 2022-11-23T01:37:55.3841903Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.3842018Z 'code': None, 2022-11-23T01:37:55.3842237Z 'obj_weakref': 2022-11-23T01:37:55.3842495Z 'guarded_class': 2022-11-23T01:37:55.3842560Z } 2022-11-23T01:37:55.3842625Z 2022-11-23T01:37:55.3842699Z - 2022-11-23T01:37:55.3842817Z local 'y' TENSOR_MATCH 2022-11-23T01:37:55.3842869Z { 2022-11-23T01:37:55.3843009Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.3843120Z 'code': None, 2022-11-23T01:37:55.3843338Z 'obj_weakref': 2022-11-23T01:37:55.3843589Z 'guarded_class': 2022-11-23T01:37:55.3843654Z } 2022-11-23T01:37:55.3843717Z 2022-11-23T01:37:55.3843967Z [2022-11-23 01:35:19,372] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 376 2022-11-23T01:37:55.3844339Z [2022-11-23 01:35:20,751] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ej/cej6hpogcrzbtm2i4j4zpytfdosenfef7vn3ur6fkngvanuamocw.py 2022-11-23T01:37:55.3844606Z [2022-11-23 01:35:20,751] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 376 2022-11-23T01:37:55.3844613Z 2022-11-23T01:37:55.3844707Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.3844775Z import torch 2022-11-23T01:37:55.3844844Z import random 2022-11-23T01:37:55.3844957Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.3845080Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.3845085Z 2022-11-23T01:37:55.3845150Z aten = torch.ops.aten 2022-11-23T01:37:55.3845283Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.3845374Z async_compile = AsyncCompile() 2022-11-23T01:37:55.3845379Z 2022-11-23T01:37:55.3845383Z 2022-11-23T01:37:55.3845518Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.3845723Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.3845841Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.3845946Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.3846044Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.3846093Z { 2022-11-23T01:37:55.3846169Z #pragma GCC ivdep 2022-11-23T01:37:55.3846249Z for(long i0=0; i0<128; i0+=1) 2022-11-23T01:37:55.3846309Z { 2022-11-23T01:37:55.3846371Z { 2022-11-23T01:37:55.3846433Z { 2022-11-23T01:37:55.3846553Z auto tmp0 = in_ptr0[2*i0]; 2022-11-23T01:37:55.3846629Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.3846715Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3846796Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.3846859Z } 2022-11-23T01:37:55.3846920Z } 2022-11-23T01:37:55.3846985Z } 2022-11-23T01:37:55.3847033Z } 2022-11-23T01:37:55.3847114Z ''') 2022-11-23T01:37:55.3847120Z 2022-11-23T01:37:55.3847124Z 2022-11-23T01:37:55.3847212Z async_compile.wait(globals()) 2022-11-23T01:37:55.3847283Z del async_compile 2022-11-23T01:37:55.3847316Z 2022-11-23T01:37:55.3847387Z def call(args): 2022-11-23T01:37:55.3847461Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.3847531Z args.clear() 2022-11-23T01:37:55.3847732Z buf0 = empty_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3847885Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.3847953Z del arg0_1 2022-11-23T01:37:55.3848019Z del arg1_1 2022-11-23T01:37:55.3848089Z return (buf0, ) 2022-11-23T01:37:55.3848094Z 2022-11-23T01:37:55.3848098Z 2022-11-23T01:37:55.3848171Z if __name__ == "__main__": 2022-11-23T01:37:55.3848283Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.3848405Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.3848593Z arg0_1 = rand_strided((8, 16), (32, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3848795Z arg1_1 = rand_strided((8, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3848917Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.3848922Z 2022-11-23T01:37:55.3848988Z ok (1.402s) 2022-11-23T01:37:55.3849287Z test_sum1_cpu (__main__.CpuTests) ... [2022-11-23 01:35:20,759] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.3849562Z [2022-11-23 01:35:20,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.3849784Z [2022-11-23 01:35:20,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.3850040Z [2022-11-23 01:35:20,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.3850328Z [2022-11-23 01:35:20,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.3850641Z [2022-11-23 01:35:20,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.3850975Z [2022-11-23 01:35:20,760] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.3851067Z 726 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.3851160Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.3851232Z 4 BINARY_ADD 2022-11-23T01:37:55.3851325Z 6 LOAD_METHOD 0 (sum) 2022-11-23T01:37:55.3851465Z 8 LOAD_CONST 1 (-1) 2022-11-23T01:37:55.3851551Z 10 CALL_METHOD 1 2022-11-23T01:37:55.3851625Z 12 BUILD_TUPLE 1 2022-11-23T01:37:55.3851699Z 14 RETURN_VALUE 2022-11-23T01:37:55.3851761Z 2022-11-23T01:37:55.3851766Z 2022-11-23T01:37:55.3852033Z [2022-11-23 01:35:20,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:726 2022-11-23T01:37:55.3852249Z [2022-11-23 01:35:20,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.3852491Z [2022-11-23 01:35:20,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.3852799Z [2022-11-23 01:35:20,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3853044Z [2022-11-23 01:35:20,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()] 2022-11-23T01:37:55.3853323Z [2022-11-23 01:35:20,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:37:55.3853624Z [2022-11-23 01:35:20,762] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)] 2022-11-23T01:37:55.3853867Z [2022-11-23 01:35:20,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.3854147Z [2022-11-23 01:35:20,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.3854478Z [2022-11-23 01:35:20,763] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.3854727Z [2022-11-23 01:35:20,763] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.3854963Z [2022-11-23 01:35:20,763] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.3855217Z [2022-11-23 01:35:20,764] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.3855469Z [2022-11-23 01:35:20,768] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.3855660Z [2022-11-23 01:35:20,769] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.3855782Z __compiled_fn_385 .3124 opcode, name, target, args, kwargs 2022-11-23T01:37:55.3855873Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.3855960Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.3856139Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.3856275Z call_method, sum_1, sum, (add, -1), {} 2022-11-23T01:37:55.3856370Z output, output, output, ((sum_1,),), {} 2022-11-23T01:37:55.3856376Z 2022-11-23T01:37:55.3856656Z [2022-11-23 01:35:20,769] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3856748Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.3856824Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3856916Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.3857005Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.3857080Z 8 RETURN_VALUE 2022-11-23T01:37:55.3857085Z 2022-11-23T01:37:55.3857147Z 2022-11-23T01:37:55.3857423Z [2022-11-23 01:35:20,769] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3857528Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_385) 2022-11-23T01:37:55.3857606Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3857696Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3857771Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.3857860Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3857945Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.3858018Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.3858104Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.3858195Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3858294Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3858382Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3858458Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.3858545Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.3858619Z 26 RETURN_VALUE 2022-11-23T01:37:55.3858624Z 2022-11-23T01:37:55.3858682Z 2022-11-23T01:37:55.3859095Z [2022-11-23 01:35:20,770] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.3859198Z - 2022-11-23T01:37:55.3859394Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.3859461Z { 2022-11-23T01:37:55.3859606Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.3859799Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.3859922Z 'obj_weakref': None 2022-11-23T01:37:55.3860149Z 'guarded_class': 2022-11-23T01:37:55.3860201Z } 2022-11-23T01:37:55.3860264Z 2022-11-23T01:37:55.3860336Z - 2022-11-23T01:37:55.3860462Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.3860567Z { 2022-11-23T01:37:55.3860713Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.3860822Z 'code': None, 2022-11-23T01:37:55.3861027Z 'obj_weakref': 2022-11-23T01:37:55.3861286Z 'guarded_class': 2022-11-23T01:37:55.3861352Z } 2022-11-23T01:37:55.3861414Z 2022-11-23T01:37:55.3861484Z - 2022-11-23T01:37:55.3861608Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.3861669Z { 2022-11-23T01:37:55.3861800Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.3861907Z 'code': None, 2022-11-23T01:37:55.3862121Z 'obj_weakref': 2022-11-23T01:37:55.3862378Z 'guarded_class': 2022-11-23T01:37:55.3862446Z } 2022-11-23T01:37:55.3862509Z 2022-11-23T01:37:55.3862580Z - 2022-11-23T01:37:55.3862699Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.3862762Z { 2022-11-23T01:37:55.3862899Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.3863073Z 'code': ['___check_obj_id(model, 140538744975440)'], 2022-11-23T01:37:55.3863194Z 'obj_weakref': None 2022-11-23T01:37:55.3863427Z 'guarded_class': 2022-11-23T01:37:55.3863490Z } 2022-11-23T01:37:55.3863539Z 2022-11-23T01:37:55.3863608Z - 2022-11-23T01:37:55.3863731Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.3863792Z { 2022-11-23T01:37:55.3863929Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.3864147Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.3864270Z 'obj_weakref': None 2022-11-23T01:37:55.3864480Z 'guarded_class': 2022-11-23T01:37:55.3864544Z } 2022-11-23T01:37:55.3864610Z 2022-11-23T01:37:55.3864876Z [2022-11-23 01:35:20,777] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 377 2022-11-23T01:37:55.3865254Z [2022-11-23 01:35:22,197] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yw/cywcrmelpj3kfkykpabwko2n5jr4kqqgokpu2ejact62vi5v4kl5.py 2022-11-23T01:37:55.3865520Z [2022-11-23 01:35:22,198] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 377 2022-11-23T01:37:55.3865526Z 2022-11-23T01:37:55.3865618Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.3865685Z import torch 2022-11-23T01:37:55.3865741Z import random 2022-11-23T01:37:55.3865857Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.3865975Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.3865981Z 2022-11-23T01:37:55.3866058Z aten = torch.ops.aten 2022-11-23T01:37:55.3866190Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.3866283Z async_compile = AsyncCompile() 2022-11-23T01:37:55.3866288Z 2022-11-23T01:37:55.3866325Z 2022-11-23T01:37:55.3866462Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.3866668Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.3866775Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.3866879Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.3866978Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.3867039Z { 2022-11-23T01:37:55.3867114Z #pragma GCC ivdep 2022-11-23T01:37:55.3867194Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.3867305Z { 2022-11-23T01:37:55.3867355Z { 2022-11-23T01:37:55.3867549Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:37:55.3867626Z float tmp3 = 0; 2022-11-23T01:37:55.3867747Z auto tmp3_vec = at::vec::Vectorized(tmp3); 2022-11-23T01:37:55.3867832Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:37:55.3867895Z { 2022-11-23T01:37:55.3868036Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i0) + (8*i1)); 2022-11-23T01:37:55.3868269Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + (8*i0) + (8*i1)); 2022-11-23T01:37:55.3868352Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3868432Z tmp3_vec += tmp2; 2022-11-23T01:37:55.3868494Z } 2022-11-23T01:37:55.3868691Z tmp3 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp3_vec); 2022-11-23T01:37:55.3868812Z #pragma omp simd simdlen(4) reduction(+:tmp3) 2022-11-23T01:37:55.3868893Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:37:55.3868956Z { 2022-11-23T01:37:55.3869039Z auto tmp0 = in_ptr0[i1 + (8*i0)]; 2022-11-23T01:37:55.3869134Z auto tmp1 = in_ptr1[i1 + (8*i0)]; 2022-11-23T01:37:55.3869223Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3869298Z tmp3 += tmp2; 2022-11-23T01:37:55.3869362Z } 2022-11-23T01:37:55.3869441Z out_ptr0[i0] = tmp3; 2022-11-23T01:37:55.3869505Z } 2022-11-23T01:37:55.3869552Z } 2022-11-23T01:37:55.3869610Z } 2022-11-23T01:37:55.3869696Z ''') 2022-11-23T01:37:55.3869702Z 2022-11-23T01:37:55.3869706Z 2022-11-23T01:37:55.3869794Z async_compile.wait(globals()) 2022-11-23T01:37:55.3869864Z del async_compile 2022-11-23T01:37:55.3869870Z 2022-11-23T01:37:55.3869943Z def call(args): 2022-11-23T01:37:55.3870019Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.3870080Z args.clear() 2022-11-23T01:37:55.3870274Z buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3870436Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.3870503Z del arg0_1 2022-11-23T01:37:55.3870571Z del arg1_1 2022-11-23T01:37:55.3870642Z return (buf0, ) 2022-11-23T01:37:55.3870647Z 2022-11-23T01:37:55.3870652Z 2022-11-23T01:37:55.3870725Z if __name__ == "__main__": 2022-11-23T01:37:55.3870838Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.3870949Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.3871149Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3871346Z arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3871460Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.3871468Z 2022-11-23T01:37:55.3871534Z ok (1.447s) 2022-11-23T01:37:55.3871839Z test_sum2_cpu (__main__.CpuTests) ... [2022-11-23 01:35:22,206] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.3872111Z [2022-11-23 01:35:22,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.3872371Z [2022-11-23 01:35:22,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.3872630Z [2022-11-23 01:35:22,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.3872907Z [2022-11-23 01:35:22,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.3873231Z [2022-11-23 01:35:22,206] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.3873591Z [2022-11-23 01:35:22,207] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.3873683Z 732 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.3873773Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.3873846Z 4 BINARY_ADD 2022-11-23T01:37:55.3873945Z 6 LOAD_METHOD 0 (sum) 2022-11-23T01:37:55.3874033Z 8 LOAD_CONST 1 (1) 2022-11-23T01:37:55.3874110Z 10 LOAD_CONST 2 (2) 2022-11-23T01:37:55.3874199Z 12 BUILD_LIST 2 2022-11-23T01:37:55.3874286Z 14 CALL_METHOD 1 2022-11-23T01:37:55.3874376Z 16 LOAD_FAST 0 (a) 2022-11-23T01:37:55.3874465Z 18 LOAD_FAST 1 (b) 2022-11-23T01:37:55.3874539Z 20 BINARY_ADD 2022-11-23T01:37:55.3874633Z 22 LOAD_METHOD 0 (sum) 2022-11-23T01:37:55.3874761Z 24 LOAD_CONST 3 (-1) 2022-11-23T01:37:55.3874849Z 26 CALL_METHOD 1 2022-11-23T01:37:55.3874936Z 28 BUILD_TUPLE 2 2022-11-23T01:37:55.3875015Z 30 RETURN_VALUE 2022-11-23T01:37:55.3875078Z 2022-11-23T01:37:55.3875083Z 2022-11-23T01:37:55.3875360Z [2022-11-23 01:35:22,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:732 2022-11-23T01:37:55.3875576Z [2022-11-23 01:35:22,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.3875817Z [2022-11-23 01:35:22,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.3876083Z [2022-11-23 01:35:22,207] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3876327Z [2022-11-23 01:35:22,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()] 2022-11-23T01:37:55.3876607Z [2022-11-23 01:35:22,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:37:55.3876922Z [2022-11-23 01:35:22,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)] 2022-11-23T01:37:55.3877274Z [2022-11-23 01:35:22,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.3877579Z [2022-11-23 01:35:22,209] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ListVariable()] 2022-11-23T01:37:55.3877820Z [2022-11-23 01:35:22,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable()] 2022-11-23T01:37:55.3878089Z [2022-11-23 01:35:22,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3878398Z [2022-11-23 01:35:22,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3878668Z [2022-11-23 01:35:22,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3878992Z [2022-11-23 01:35:22,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:37:55.3879342Z [2022-11-23 01:35:22,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)] 2022-11-23T01:37:55.3879614Z [2022-11-23 01:35:22,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3879867Z [2022-11-23 01:35:22,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.3880198Z [2022-11-23 01:35:22,213] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.3880484Z [2022-11-23 01:35:22,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.3880723Z [2022-11-23 01:35:22,213] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.3880985Z [2022-11-23 01:35:22,214] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.3881242Z [2022-11-23 01:35:22,219] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.3881434Z [2022-11-23 01:35:22,219] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.3881556Z __compiled_fn_386 .3130 opcode, name, target, args, kwargs 2022-11-23T01:37:55.3881647Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.3881737Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.3881921Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.3882019Z call_method, sum_1, sum, (add, [1, 2]), {} 2022-11-23T01:37:55.3882205Z call_function, add_1, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.3882346Z call_method, sum_2, sum, (add_1, -1), {} 2022-11-23T01:37:55.3882438Z output, output, output, ((sum_1, sum_2),), {} 2022-11-23T01:37:55.3882445Z 2022-11-23T01:37:55.3882728Z [2022-11-23 01:35:22,220] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3882823Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.3882916Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3883012Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.3883102Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.3883181Z 8 RETURN_VALUE 2022-11-23T01:37:55.3883187Z 2022-11-23T01:37:55.3883248Z 2022-11-23T01:37:55.3883513Z [2022-11-23 01:35:22,220] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3883625Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_386) 2022-11-23T01:37:55.3883713Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3883802Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3883880Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.3883967Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3884057Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.3884119Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.3884208Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.3884311Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3884412Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3884499Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3884573Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.3884675Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3884761Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:55.3884824Z 28 BINARY_SUBSCR 2022-11-23T01:37:55.3884909Z 30 BUILD_TUPLE 2 2022-11-23T01:37:55.3884982Z 32 RETURN_VALUE 2022-11-23T01:37:55.3884986Z 2022-11-23T01:37:55.3885076Z 2022-11-23T01:37:55.3885267Z [2022-11-23 01:35:22,221] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.3885338Z - 2022-11-23T01:37:55.3885457Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.3885510Z { 2022-11-23T01:37:55.3885655Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.3885844Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.3885967Z 'obj_weakref': None 2022-11-23T01:37:55.3886193Z 'guarded_class': 2022-11-23T01:37:55.3886288Z } 2022-11-23T01:37:55.3886349Z 2022-11-23T01:37:55.3886407Z - 2022-11-23T01:37:55.3886533Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.3886595Z { 2022-11-23T01:37:55.3886742Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.3886852Z 'code': None, 2022-11-23T01:37:55.3887078Z 'obj_weakref': 2022-11-23T01:37:55.3887335Z 'guarded_class': 2022-11-23T01:37:55.3887386Z } 2022-11-23T01:37:55.3887450Z 2022-11-23T01:37:55.3887522Z - 2022-11-23T01:37:55.3887648Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.3887709Z { 2022-11-23T01:37:55.3887853Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.3887961Z 'code': None, 2022-11-23T01:37:55.3888167Z 'obj_weakref': 2022-11-23T01:37:55.3888421Z 'guarded_class': 2022-11-23T01:37:55.3888484Z } 2022-11-23T01:37:55.3888546Z 2022-11-23T01:37:55.3888615Z - 2022-11-23T01:37:55.3888750Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.3888816Z { 2022-11-23T01:37:55.3888940Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.3889111Z 'code': ['___check_obj_id(model, 140538745738016)'], 2022-11-23T01:37:55.3889233Z 'obj_weakref': None 2022-11-23T01:37:55.3889467Z 'guarded_class': 2022-11-23T01:37:55.3889530Z } 2022-11-23T01:37:55.3889591Z 2022-11-23T01:37:55.3889660Z - 2022-11-23T01:37:55.3889771Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.3889837Z { 2022-11-23T01:37:55.3889975Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.3890194Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.3890316Z 'obj_weakref': None 2022-11-23T01:37:55.3890540Z 'guarded_class': 2022-11-23T01:37:55.3890603Z } 2022-11-23T01:37:55.3890653Z 2022-11-23T01:37:55.3890914Z [2022-11-23 01:35:22,229] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 378 2022-11-23T01:37:55.3891284Z [2022-11-23 01:35:23,654] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lm/clm75m6tsghenxjk5q4pqv3vtpn2xswkjbauft7c4skhn4v2mglc.py 2022-11-23T01:37:55.3891551Z [2022-11-23 01:35:23,655] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 378 2022-11-23T01:37:55.3891559Z 2022-11-23T01:37:55.3891653Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.3891720Z import torch 2022-11-23T01:37:55.3891789Z import random 2022-11-23T01:37:55.3891903Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.3892011Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.3892017Z 2022-11-23T01:37:55.3892127Z aten = torch.ops.aten 2022-11-23T01:37:55.3892261Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.3892353Z async_compile = AsyncCompile() 2022-11-23T01:37:55.3892358Z 2022-11-23T01:37:55.3892363Z 2022-11-23T01:37:55.3892498Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.3892703Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.3892820Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.3892924Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.3893044Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.3893139Z float* __restrict__ out_ptr1) 2022-11-23T01:37:55.3893199Z { 2022-11-23T01:37:55.3893274Z #pragma GCC ivdep 2022-11-23T01:37:55.3893354Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.3893414Z { 2022-11-23T01:37:55.3893493Z #pragma GCC ivdep 2022-11-23T01:37:55.3893565Z for(long i1=0; i1<21; i1+=1) 2022-11-23T01:37:55.3893626Z { 2022-11-23T01:37:55.3893689Z { 2022-11-23T01:37:55.3893753Z { 2022-11-23T01:37:55.3893832Z float tmp3 = 0; 2022-11-23T01:37:55.3893923Z for(long i2=0; i2<27; i2+=1) 2022-11-23T01:37:55.3893977Z { 2022-11-23T01:37:55.3894043Z { 2022-11-23T01:37:55.3894154Z auto tmp0 = in_ptr0[i1 + (21*i2) + (567*i0)]; 2022-11-23T01:37:55.3894262Z auto tmp1 = in_ptr1[i1 + (21*i2) + (567*i0)]; 2022-11-23T01:37:55.3894360Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3894441Z tmp3 += tmp2; 2022-11-23T01:37:55.3894506Z } 2022-11-23T01:37:55.3894568Z } 2022-11-23T01:37:55.3894647Z out_ptr0[i1 + (21*i0)] = tmp3; 2022-11-23T01:37:55.3894710Z } 2022-11-23T01:37:55.3894774Z } 2022-11-23T01:37:55.3894835Z } 2022-11-23T01:37:55.3894893Z } 2022-11-23T01:37:55.3894967Z #pragma GCC ivdep 2022-11-23T01:37:55.3895035Z for(long i0=0; i0<216; i0+=1) 2022-11-23T01:37:55.3895095Z { 2022-11-23T01:37:55.3895156Z { 2022-11-23T01:37:55.3895345Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:37:55.3895422Z float tmp3 = 0; 2022-11-23T01:37:55.3895544Z auto tmp3_vec = at::vec::Vectorized(tmp3); 2022-11-23T01:37:55.3895630Z for(long i1=0; i1<2; i1+=1) 2022-11-23T01:37:55.3895694Z { 2022-11-23T01:37:55.3895822Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (21*i0)); 2022-11-23T01:37:55.3895961Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + (8*i1) + (21*i0)); 2022-11-23T01:37:55.3896050Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3896132Z tmp3_vec += tmp2; 2022-11-23T01:37:55.3896193Z } 2022-11-23T01:37:55.3896388Z tmp3 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp3_vec); 2022-11-23T01:37:55.3896503Z #pragma omp simd simdlen(4) reduction(+:tmp3) 2022-11-23T01:37:55.3896589Z for(long i1=16; i1<21; i1+=1) 2022-11-23T01:37:55.3896637Z { 2022-11-23T01:37:55.3896734Z auto tmp0 = in_ptr0[i1 + (21*i0)]; 2022-11-23T01:37:55.3896827Z auto tmp1 = in_ptr1[i1 + (21*i0)]; 2022-11-23T01:37:55.3896918Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3896992Z tmp3 += tmp2; 2022-11-23T01:37:55.3897052Z } 2022-11-23T01:37:55.3897129Z out_ptr1[i0] = tmp3; 2022-11-23T01:37:55.3897179Z } 2022-11-23T01:37:55.3897237Z } 2022-11-23T01:37:55.3897296Z } 2022-11-23T01:37:55.3897375Z ''') 2022-11-23T01:37:55.3897381Z 2022-11-23T01:37:55.3897418Z 2022-11-23T01:37:55.3897508Z async_compile.wait(globals()) 2022-11-23T01:37:55.3897581Z del async_compile 2022-11-23T01:37:55.3897586Z 2022-11-23T01:37:55.3897655Z def call(args): 2022-11-23T01:37:55.3897717Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.3897787Z args.clear() 2022-11-23T01:37:55.3897989Z buf0 = empty_strided((8, 21), (21, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3898197Z buf1 = empty_strided((8, 9, 3), (27, 3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3898386Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:55.3898498Z del arg0_1 2022-11-23T01:37:55.3898562Z del arg1_1 2022-11-23T01:37:55.3898626Z return (buf0, buf1, ) 2022-11-23T01:37:55.3898630Z 2022-11-23T01:37:55.3898646Z 2022-11-23T01:37:55.3898709Z if __name__ == "__main__": 2022-11-23T01:37:55.3899016Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.3899201Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.3899429Z arg0_1 = rand_strided((8, 9, 3, 21), (567, 63, 21, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3899646Z arg1_1 = rand_strided((8, 9, 3, 21), (567, 63, 21, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3899763Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.3899769Z 2022-11-23T01:37:55.3899837Z ok (1.457s) 2022-11-23T01:37:55.3900140Z test_sum3_cpu (__main__.CpuTests) ... [2022-11-23 01:35:23,663] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.3900405Z [2022-11-23 01:35:23,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.3900625Z [2022-11-23 01:35:23,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.3900884Z [2022-11-23 01:35:23,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.3901175Z [2022-11-23 01:35:23,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.3901503Z [2022-11-23 01:35:23,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.3901834Z [2022-11-23 01:35:23,663] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.3901927Z 738 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.3902021Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.3902095Z 4 BINARY_ADD 2022-11-23T01:37:55.3902173Z 6 STORE_FAST 2 (r1) 2022-11-23T01:37:55.3902177Z 2022-11-23T01:37:55.3902265Z 739 8 LOAD_FAST 2 (r1) 2022-11-23T01:37:55.3902359Z 10 LOAD_METHOD 0 (sum) 2022-11-23T01:37:55.3902498Z 12 LOAD_CONST 1 (-1) 2022-11-23T01:37:55.3902585Z 14 CALL_METHOD 1 2022-11-23T01:37:55.3902674Z 16 STORE_FAST 3 (r2) 2022-11-23T01:37:55.3902679Z 2022-11-23T01:37:55.3902771Z 740 18 LOAD_GLOBAL 1 (torch) 2022-11-23T01:37:55.3902854Z 20 LOAD_METHOD 2 (squeeze) 2022-11-23T01:37:55.3902942Z 22 LOAD_FAST 1 (b) 2022-11-23T01:37:55.3903026Z 24 CALL_METHOD 1 2022-11-23T01:37:55.3903113Z 26 LOAD_CONST 2 (10) 2022-11-23T01:37:55.3903188Z 28 BINARY_ADD 2022-11-23T01:37:55.3903274Z 30 STORE_FAST 4 (r3) 2022-11-23T01:37:55.3903280Z 2022-11-23T01:37:55.3903365Z 741 32 LOAD_FAST 2 (r1) 2022-11-23T01:37:55.3903450Z 34 LOAD_FAST 3 (r2) 2022-11-23T01:37:55.3903588Z 36 LOAD_FAST 4 (r3) 2022-11-23T01:37:55.3903680Z 38 BUILD_TUPLE 3 2022-11-23T01:37:55.3903755Z 40 RETURN_VALUE 2022-11-23T01:37:55.3903816Z 2022-11-23T01:37:55.3903821Z 2022-11-23T01:37:55.3904096Z [2022-11-23 01:35:23,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:738 2022-11-23T01:37:55.3904310Z [2022-11-23 01:35:23,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.3904553Z [2022-11-23 01:35:23,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.3904875Z [2022-11-23 01:35:23,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3905108Z [2022-11-23 01:35:23,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST r1 [TensorVariable()] 2022-11-23T01:37:55.3905377Z [2022-11-23 01:35:23,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:739 2022-11-23T01:37:55.3905590Z [2022-11-23 01:35:23,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST r1 [] 2022-11-23T01:37:55.3905832Z [2022-11-23 01:35:23,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()] 2022-11-23T01:37:55.3906111Z [2022-11-23 01:35:23,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:37:55.3906429Z [2022-11-23 01:35:23,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)] 2022-11-23T01:37:55.3906674Z [2022-11-23 01:35:23,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST r2 [TensorVariable()] 2022-11-23T01:37:55.3906937Z [2022-11-23 01:35:23,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:740 2022-11-23T01:37:55.3907158Z [2022-11-23 01:35:23,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.3907519Z [2022-11-23 01:35:23,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR squeeze [TorchVariable()] 2022-11-23T01:37:55.3907846Z [2022-11-23 01:35:23,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable()] 2022-11-23T01:37:55.3908291Z [2022-11-23 01:35:23,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.3908545Z [2022-11-23 01:35:23,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable()] 2022-11-23T01:37:55.3908834Z [2022-11-23 01:35:23,668] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3909076Z [2022-11-23 01:35:23,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST r3 [TensorVariable()] 2022-11-23T01:37:55.3909346Z [2022-11-23 01:35:23,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:741 2022-11-23T01:37:55.3909559Z [2022-11-23 01:35:23,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST r1 [] 2022-11-23T01:37:55.3909802Z [2022-11-23 01:35:23,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST r2 [TensorVariable()] 2022-11-23T01:37:55.3910069Z [2022-11-23 01:35:23,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST r3 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3910358Z [2022-11-23 01:35:23,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3910611Z [2022-11-23 01:35:23,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.3910981Z [2022-11-23 01:35:23,669] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.3911233Z [2022-11-23 01:35:23,669] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.3911471Z [2022-11-23 01:35:23,669] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.3911727Z [2022-11-23 01:35:23,671] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.3911981Z [2022-11-23 01:35:23,675] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.3912225Z [2022-11-23 01:35:23,676] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.3912359Z __compiled_fn_387 .3136 opcode, name, target, args, kwargs 2022-11-23T01:37:55.3912437Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.3912521Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.3912700Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.3912836Z call_method, sum_1, sum, (add, -1), {} 2022-11-23T01:37:55.3913074Z call_function, squeeze, , (ex_1_,), {} 2022-11-23T01:37:55.3913257Z call_function, add_1, , (squeeze, 10), {} 2022-11-23T01:37:55.3913363Z output, output, output, ((add, sum_1, add_1),), {} 2022-11-23T01:37:55.3913369Z 2022-11-23T01:37:55.3913650Z [2022-11-23 01:35:23,676] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3913731Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.3913822Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3913914Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.3914005Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.3914080Z 8 RETURN_VALUE 2022-11-23T01:37:55.3914085Z 2022-11-23T01:37:55.3914145Z 2022-11-23T01:37:55.3914424Z [2022-11-23 01:35:23,676] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3914533Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_387) 2022-11-23T01:37:55.3914610Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3914698Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3914773Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.3914860Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3914945Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.3915019Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.3915107Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.3915199Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3915298Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3915385Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3915460Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.3915561Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3915647Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:55.3915722Z 28 BINARY_SUBSCR 2022-11-23T01:37:55.3915808Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3915894Z 32 LOAD_CONST 3 (2) 2022-11-23T01:37:55.3915971Z 34 BINARY_SUBSCR 2022-11-23T01:37:55.3916059Z 36 BUILD_TUPLE 3 2022-11-23T01:37:55.3916134Z 38 RETURN_VALUE 2022-11-23T01:37:55.3916139Z 2022-11-23T01:37:55.3916203Z 2022-11-23T01:37:55.3916391Z [2022-11-23 01:35:23,677] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.3916451Z - 2022-11-23T01:37:55.3916573Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.3916639Z { 2022-11-23T01:37:55.3916784Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.3917011Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.3917137Z 'obj_weakref': None 2022-11-23T01:37:55.3917367Z 'guarded_class': 2022-11-23T01:37:55.3917432Z } 2022-11-23T01:37:55.3917481Z 2022-11-23T01:37:55.3917553Z - 2022-11-23T01:37:55.3917681Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.3917746Z { 2022-11-23T01:37:55.3917893Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.3918003Z 'code': None, 2022-11-23T01:37:55.3918207Z 'obj_weakref': 2022-11-23T01:37:55.3918502Z 'guarded_class': 2022-11-23T01:37:55.3918569Z } 2022-11-23T01:37:55.3918634Z 2022-11-23T01:37:55.3918709Z - 2022-11-23T01:37:55.3918839Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.3918904Z { 2022-11-23T01:37:55.3919036Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.3919147Z 'code': None, 2022-11-23T01:37:55.3919364Z 'obj_weakref': 2022-11-23T01:37:55.3919621Z 'guarded_class': 2022-11-23T01:37:55.3919687Z } 2022-11-23T01:37:55.3919751Z 2022-11-23T01:37:55.3919822Z - 2022-11-23T01:37:55.3919943Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.3920011Z { 2022-11-23T01:37:55.3920152Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.3920326Z 'code': ['___check_obj_id(model, 140538731193552)'], 2022-11-23T01:37:55.3920449Z 'obj_weakref': None 2022-11-23T01:37:55.3920687Z 'guarded_class': 2022-11-23T01:37:55.3920752Z } 2022-11-23T01:37:55.3920816Z 2022-11-23T01:37:55.3920874Z - 2022-11-23T01:37:55.3920998Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.3921063Z { 2022-11-23T01:37:55.3921203Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.3921426Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.3921550Z 'obj_weakref': None 2022-11-23T01:37:55.3921773Z 'guarded_class': 2022-11-23T01:37:55.3921827Z } 2022-11-23T01:37:55.3921887Z 2022-11-23T01:37:55.3921958Z - 2022-11-23T01:37:55.3922095Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.3922160Z { 2022-11-23T01:37:55.3922285Z 'guard_types': None, 2022-11-23T01:37:55.3922380Z 'code': None, 2022-11-23T01:37:55.3922505Z 'obj_weakref': None 2022-11-23T01:37:55.3922628Z 'guarded_class': None 2022-11-23T01:37:55.3922692Z } 2022-11-23T01:37:55.3922752Z 2022-11-23T01:37:55.3923013Z [2022-11-23 01:35:23,685] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 379 2022-11-23T01:37:55.3923391Z [2022-11-23 01:35:25,135] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/a4/ca4iqlje3zsmwj2hbhcygxfjg4buk5nehqpris6ejigelukgm7ra.py 2022-11-23T01:37:55.3923656Z [2022-11-23 01:35:25,136] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 379 2022-11-23T01:37:55.3923664Z 2022-11-23T01:37:55.3923746Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.3923817Z import torch 2022-11-23T01:37:55.3923886Z import random 2022-11-23T01:37:55.3923998Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.3924118Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.3924155Z 2022-11-23T01:37:55.3924234Z aten = torch.ops.aten 2022-11-23T01:37:55.3924369Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.3924449Z async_compile = AsyncCompile() 2022-11-23T01:37:55.3924466Z 2022-11-23T01:37:55.3924470Z 2022-11-23T01:37:55.3924592Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.3924797Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.3924917Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.3925019Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.3925149Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.3925249Z float* __restrict__ out_ptr1, 2022-11-23T01:37:55.3925342Z float* __restrict__ out_ptr2) 2022-11-23T01:37:55.3925390Z { 2022-11-23T01:37:55.3925466Z #pragma GCC ivdep 2022-11-23T01:37:55.3925548Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.3925607Z { 2022-11-23T01:37:55.3925668Z { 2022-11-23T01:37:55.3925860Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:37:55.3925938Z float tmp3 = 0; 2022-11-23T01:37:55.3926058Z auto tmp3_vec = at::vec::Vectorized(tmp3); 2022-11-23T01:37:55.3926129Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:37:55.3926190Z { 2022-11-23T01:37:55.3926330Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (10*i0)); 2022-11-23T01:37:55.3926468Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i1); 2022-11-23T01:37:55.3926556Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3926658Z tmp2.store(out_ptr0 + (8*i1) + (10*i0)); 2022-11-23T01:37:55.3926739Z tmp3_vec += tmp2; 2022-11-23T01:37:55.3926790Z } 2022-11-23T01:37:55.3926985Z tmp3 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp3_vec); 2022-11-23T01:37:55.3927102Z #pragma omp simd simdlen(4) reduction(+:tmp3) 2022-11-23T01:37:55.3927187Z for(long i1=8; i1<10; i1+=1) 2022-11-23T01:37:55.3927250Z { 2022-11-23T01:37:55.3927344Z auto tmp0 = in_ptr0[i1 + (10*i0)]; 2022-11-23T01:37:55.3927429Z auto tmp1 = in_ptr1[i1]; 2022-11-23T01:37:55.3927514Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3927591Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:37:55.3927666Z tmp3 += tmp2; 2022-11-23T01:37:55.3927729Z } 2022-11-23T01:37:55.3927807Z out_ptr1[i0] = tmp3; 2022-11-23T01:37:55.3927869Z } 2022-11-23T01:37:55.3927928Z } 2022-11-23T01:37:55.3927996Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:37:55.3928054Z { 2022-11-23T01:37:55.3928185Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.3928318Z auto tmp1 = at::vec::Vectorized(static_cast(10)); 2022-11-23T01:37:55.3928401Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3928488Z tmp2.store(out_ptr2 + 8*i0); 2022-11-23T01:37:55.3928547Z } 2022-11-23T01:37:55.3928632Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.3928697Z for(long i0=8; i0<10; i0+=1) 2022-11-23T01:37:55.3928757Z { 2022-11-23T01:37:55.3928834Z auto tmp0 = in_ptr1[i0]; 2022-11-23T01:37:55.3928931Z auto tmp1 = static_cast(10); 2022-11-23T01:37:55.3929011Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3929090Z out_ptr2[i0] = tmp2; 2022-11-23T01:37:55.3929139Z } 2022-11-23T01:37:55.3929197Z } 2022-11-23T01:37:55.3929278Z ''') 2022-11-23T01:37:55.3929283Z 2022-11-23T01:37:55.3929287Z 2022-11-23T01:37:55.3929373Z async_compile.wait(globals()) 2022-11-23T01:37:55.3929445Z del async_compile 2022-11-23T01:37:55.3929450Z 2022-11-23T01:37:55.3929549Z def call(args): 2022-11-23T01:37:55.3929628Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.3929698Z args.clear() 2022-11-23T01:37:55.3929888Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3930084Z buf1 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3930278Z buf2 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3930491Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:37:55.3930629Z del arg0_1 2022-11-23T01:37:55.3930694Z del arg1_1 2022-11-23T01:37:55.3930776Z return (buf0, buf1, buf2, ) 2022-11-23T01:37:55.3930780Z 2022-11-23T01:37:55.3930784Z 2022-11-23T01:37:55.3930864Z if __name__ == "__main__": 2022-11-23T01:37:55.3930966Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.3931091Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.3931296Z arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3931497Z arg1_1 = rand_strided((1, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3931611Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.3931616Z 2022-11-23T01:37:55.3931683Z ok (1.481s) 2022-11-23T01:37:55.3931986Z test_sum4_cpu (__main__.CpuTests) ... [2022-11-23 01:35:25,143] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.3932258Z [2022-11-23 01:35:25,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.3932471Z [2022-11-23 01:35:25,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.3932726Z [2022-11-23 01:35:25,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.3933020Z [2022-11-23 01:35:25,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.3933349Z [2022-11-23 01:35:25,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.3933678Z [2022-11-23 01:35:25,144] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.3933776Z 750 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.3933866Z 2 LOAD_CONST 1 (1) 2022-11-23T01:37:55.3933942Z 4 BINARY_ADD 2022-11-23T01:37:55.3934030Z 6 STORE_FAST 1 (b) 2022-11-23T01:37:55.3934035Z 2022-11-23T01:37:55.3934109Z 751 8 LOAD_FAST 1 (b) 2022-11-23T01:37:55.3934200Z 10 LOAD_METHOD 0 (sum) 2022-11-23T01:37:55.3934343Z 12 LOAD_CONST 2 (-1) 2022-11-23T01:37:55.3934429Z 14 CALL_METHOD 1 2022-11-23T01:37:55.3934517Z 16 STORE_FAST 2 (c) 2022-11-23T01:37:55.3934522Z 2022-11-23T01:37:55.3934607Z 752 18 LOAD_FAST 2 (c) 2022-11-23T01:37:55.3934692Z 20 LOAD_CONST 3 (3) 2022-11-23T01:37:55.3934752Z 22 BINARY_ADD 2022-11-23T01:37:55.3934836Z 24 STORE_FAST 3 (d) 2022-11-23T01:37:55.3934841Z 2022-11-23T01:37:55.3934923Z 753 26 LOAD_FAST 3 (d) 2022-11-23T01:37:55.3935014Z 28 LOAD_METHOD 0 (sum) 2022-11-23T01:37:55.3935155Z 30 LOAD_CONST 2 (-1) 2022-11-23T01:37:55.3935240Z 32 CALL_METHOD 1 2022-11-23T01:37:55.3935326Z 34 STORE_FAST 4 (e) 2022-11-23T01:37:55.3935331Z 2022-11-23T01:37:55.3935415Z 754 36 LOAD_FAST 4 (e) 2022-11-23T01:37:55.3935517Z 38 LOAD_CONST 4 (5) 2022-11-23T01:37:55.3935591Z 40 BINARY_ADD 2022-11-23T01:37:55.3935675Z 42 STORE_FAST 5 (f) 2022-11-23T01:37:55.3935680Z 2022-11-23T01:37:55.3935763Z 755 44 LOAD_FAST 5 (f) 2022-11-23T01:37:55.3935846Z 46 LOAD_FAST 4 (e) 2022-11-23T01:37:55.3935929Z 48 LOAD_FAST 3 (d) 2022-11-23T01:37:55.3936012Z 50 LOAD_FAST 2 (c) 2022-11-23T01:37:55.3936085Z 52 LOAD_FAST 1 (b) 2022-11-23T01:37:55.3936200Z 54 BUILD_TUPLE 5 2022-11-23T01:37:55.3936275Z 56 RETURN_VALUE 2022-11-23T01:37:55.3936339Z 2022-11-23T01:37:55.3936344Z 2022-11-23T01:37:55.3936613Z [2022-11-23 01:35:25,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:750 2022-11-23T01:37:55.3936829Z [2022-11-23 01:35:25,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.3937070Z [2022-11-23 01:35:25,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:37:55.3937356Z [2022-11-23 01:35:25,144] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3937593Z [2022-11-23 01:35:25,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()] 2022-11-23T01:37:55.3937848Z [2022-11-23 01:35:25,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:751 2022-11-23T01:37:55.3938060Z [2022-11-23 01:35:25,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [] 2022-11-23T01:37:55.3938306Z [2022-11-23 01:35:25,146] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()] 2022-11-23T01:37:55.3938585Z [2022-11-23 01:35:25,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:37:55.3939238Z [2022-11-23 01:35:25,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)] 2022-11-23T01:37:55.3939493Z [2022-11-23 01:35:25,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()] 2022-11-23T01:37:55.3939765Z [2022-11-23 01:35:25,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:752 2022-11-23T01:37:55.3939975Z [2022-11-23 01:35:25,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [] 2022-11-23T01:37:55.3940219Z [2022-11-23 01:35:25,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable()] 2022-11-23T01:37:55.3940494Z [2022-11-23 01:35:25,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3940735Z [2022-11-23 01:35:25,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST d [TensorVariable()] 2022-11-23T01:37:55.3941004Z [2022-11-23 01:35:25,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:753 2022-11-23T01:37:55.3941218Z [2022-11-23 01:35:25,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [] 2022-11-23T01:37:55.3941459Z [2022-11-23 01:35:25,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()] 2022-11-23T01:37:55.3941739Z [2022-11-23 01:35:25,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:37:55.3942056Z [2022-11-23 01:35:25,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)] 2022-11-23T01:37:55.3942297Z [2022-11-23 01:35:25,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [TensorVariable()] 2022-11-23T01:37:55.3942562Z [2022-11-23 01:35:25,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:754 2022-11-23T01:37:55.3942824Z [2022-11-23 01:35:25,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [] 2022-11-23T01:37:55.3943069Z [2022-11-23 01:35:25,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TensorVariable()] 2022-11-23T01:37:55.3943352Z [2022-11-23 01:35:25,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3943588Z [2022-11-23 01:35:25,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST f [TensorVariable()] 2022-11-23T01:37:55.3943859Z [2022-11-23 01:35:25,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:755 2022-11-23T01:37:55.3944114Z [2022-11-23 01:35:25,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST f [] 2022-11-23T01:37:55.3944353Z [2022-11-23 01:35:25,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [TensorVariable()] 2022-11-23T01:37:55.3944623Z [2022-11-23 01:35:25,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3944923Z [2022-11-23 01:35:25,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3945245Z [2022-11-23 01:35:25,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3945590Z [2022-11-23 01:35:25,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.3945842Z [2022-11-23 01:35:25,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.3946179Z [2022-11-23 01:35:25,151] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.3946429Z [2022-11-23 01:35:25,151] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.3946667Z [2022-11-23 01:35:25,151] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.3946923Z [2022-11-23 01:35:25,153] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.3947175Z [2022-11-23 01:35:25,157] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.3947366Z [2022-11-23 01:35:25,158] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.3947503Z __compiled_fn_388 .3142 opcode, name, target, args, kwargs 2022-11-23T01:37:55.3947584Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.3947758Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:55.3947893Z call_method, sum_1, sum, (add, -1), {} 2022-11-23T01:37:55.3948071Z call_function, add_1, , (sum_1, 3), {} 2022-11-23T01:37:55.3948283Z call_method, sum_2, sum, (add_1, -1), {} 2022-11-23T01:37:55.3948462Z call_function, add_2, , (sum_2, 5), {} 2022-11-23T01:37:55.3948585Z output, output, output, ((add_2, sum_2, add_1, sum_1, add),), {} 2022-11-23T01:37:55.3948591Z 2022-11-23T01:37:55.3948872Z [2022-11-23 01:35:25,158] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3948953Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.3949043Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3949134Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.3949226Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.3949301Z 8 RETURN_VALUE 2022-11-23T01:37:55.3949307Z 2022-11-23T01:37:55.3949369Z 2022-11-23T01:37:55.3949644Z [2022-11-23 01:35:25,158] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3949788Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_388) 2022-11-23T01:37:55.3949868Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3949958Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3950034Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.3950120Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.3950223Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3950324Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3950411Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3950474Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.3950606Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3950693Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.3950768Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.3950868Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3950954Z 26 LOAD_CONST 3 (2) 2022-11-23T01:37:55.3951030Z 28 BINARY_SUBSCR 2022-11-23T01:37:55.3951118Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3951204Z 32 LOAD_CONST 4 (3) 2022-11-23T01:37:55.3951279Z 34 BINARY_SUBSCR 2022-11-23T01:37:55.3951377Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3951462Z 38 LOAD_CONST 5 (4) 2022-11-23T01:37:55.3951534Z 40 BINARY_SUBSCR 2022-11-23T01:37:55.3951622Z 42 BUILD_TUPLE 5 2022-11-23T01:37:55.3951685Z 44 RETURN_VALUE 2022-11-23T01:37:55.3951702Z 2022-11-23T01:37:55.3951750Z 2022-11-23T01:37:55.3951937Z [2022-11-23 01:35:25,159] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.3952011Z - 2022-11-23T01:37:55.3952131Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.3952195Z { 2022-11-23T01:37:55.3952336Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.3952515Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.3952638Z 'obj_weakref': None 2022-11-23T01:37:55.3952862Z 'guarded_class': 2022-11-23T01:37:55.3952927Z } 2022-11-23T01:37:55.3952989Z 2022-11-23T01:37:55.3953059Z - 2022-11-23T01:37:55.3953186Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.3953236Z { 2022-11-23T01:37:55.3953379Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.3953486Z 'code': None, 2022-11-23T01:37:55.3953705Z 'obj_weakref': 2022-11-23T01:37:55.3953958Z 'guarded_class': 2022-11-23T01:37:55.3954022Z } 2022-11-23T01:37:55.3954083Z 2022-11-23T01:37:55.3954140Z - 2022-11-23T01:37:55.3954272Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.3954334Z { 2022-11-23T01:37:55.3954470Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.3954642Z 'code': ['___check_obj_id(model, 140538740292064)'], 2022-11-23T01:37:55.3954763Z 'obj_weakref': None 2022-11-23T01:37:55.3954995Z 'guarded_class': 2022-11-23T01:37:55.3955058Z } 2022-11-23T01:37:55.3955107Z 2022-11-23T01:37:55.3955176Z - 2022-11-23T01:37:55.3955300Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.3955365Z { 2022-11-23T01:37:55.3955502Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.3955720Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.3955827Z 'obj_weakref': None 2022-11-23T01:37:55.3956077Z 'guarded_class': 2022-11-23T01:37:55.3956149Z } 2022-11-23T01:37:55.3956214Z 2022-11-23T01:37:55.3956479Z [2022-11-23 01:35:25,168] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 380 2022-11-23T01:37:55.3956853Z [2022-11-23 01:35:26,707] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tt/ctttlmhaa7c5n7uuy2eloxpm3ww52t5pcemhh7olhnl4qr5fj36x.py 2022-11-23T01:37:55.3957124Z [2022-11-23 01:35:26,708] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 380 2022-11-23T01:37:55.3957172Z 2022-11-23T01:37:55.3957268Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.3957339Z import torch 2022-11-23T01:37:55.3957396Z import random 2022-11-23T01:37:55.3957512Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.3957635Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.3957640Z 2022-11-23T01:37:55.3957722Z aten = torch.ops.aten 2022-11-23T01:37:55.3957857Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.3957953Z async_compile = AsyncCompile() 2022-11-23T01:37:55.3957958Z 2022-11-23T01:37:55.3957962Z 2022-11-23T01:37:55.3958100Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.3958295Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.3958417Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.3958518Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.3958620Z float* __restrict__ out_ptr1, 2022-11-23T01:37:55.3958718Z float* __restrict__ out_ptr2, 2022-11-23T01:37:55.3958814Z float* __restrict__ out_ptr3, 2022-11-23T01:37:55.3958907Z float* __restrict__ out_ptr4) 2022-11-23T01:37:55.3958968Z { 2022-11-23T01:37:55.3959037Z for(long i0=0; i0<128; i0+=1) 2022-11-23T01:37:55.3959102Z { 2022-11-23T01:37:55.3959243Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.3959381Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:55.3959465Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3959555Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.3959618Z } 2022-11-23T01:37:55.3959693Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.3959776Z for(long i0=1024; i0<1024; i0+=1) 2022-11-23T01:37:55.3959841Z { 2022-11-23T01:37:55.3959924Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.3960026Z auto tmp1 = static_cast(1); 2022-11-23T01:37:55.3960110Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3960187Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.3960235Z } 2022-11-23T01:37:55.3960313Z #pragma GCC ivdep 2022-11-23T01:37:55.3960396Z for(long i0=0; i0<128; i0+=1) 2022-11-23T01:37:55.3960458Z { 2022-11-23T01:37:55.3960523Z { 2022-11-23T01:37:55.3960713Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:37:55.3960793Z float tmp1 = 0; 2022-11-23T01:37:55.3960901Z auto tmp1_vec = at::vec::Vectorized(tmp1); 2022-11-23T01:37:55.3960987Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:37:55.3961054Z { 2022-11-23T01:37:55.3961198Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr0 + (8*i0) + (8*i1)); 2022-11-23T01:37:55.3961281Z tmp1_vec += tmp0; 2022-11-23T01:37:55.3961349Z } 2022-11-23T01:37:55.3961547Z tmp1 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp1_vec); 2022-11-23T01:37:55.3961667Z #pragma omp simd simdlen(4) reduction(+:tmp1) 2022-11-23T01:37:55.3961738Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:37:55.3961800Z { 2022-11-23T01:37:55.3961927Z auto tmp0 = out_ptr0[i1 + (8*i0)]; 2022-11-23T01:37:55.3962004Z tmp1 += tmp0; 2022-11-23T01:37:55.3962067Z } 2022-11-23T01:37:55.3962144Z out_ptr1[i0] = tmp1; 2022-11-23T01:37:55.3962194Z } 2022-11-23T01:37:55.3962255Z } 2022-11-23T01:37:55.3962332Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:37:55.3962391Z { 2022-11-23T01:37:55.3962523Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr1 + 8*i0); 2022-11-23T01:37:55.3962657Z auto tmp1 = at::vec::Vectorized(static_cast(3)); 2022-11-23T01:37:55.3962771Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3962859Z tmp2.store(out_ptr2 + 8*i0); 2022-11-23T01:37:55.3962907Z } 2022-11-23T01:37:55.3962990Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.3963069Z for(long i0=128; i0<128; i0+=1) 2022-11-23T01:37:55.3963128Z { 2022-11-23T01:37:55.3963209Z auto tmp0 = out_ptr1[i0]; 2022-11-23T01:37:55.3963304Z auto tmp1 = static_cast(3); 2022-11-23T01:37:55.3963372Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3963447Z out_ptr2[i0] = tmp2; 2022-11-23T01:37:55.3963506Z } 2022-11-23T01:37:55.3963588Z #pragma GCC ivdep 2022-11-23T01:37:55.3963665Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:37:55.3963723Z { 2022-11-23T01:37:55.3963787Z { 2022-11-23T01:37:55.3963962Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:37:55.3964039Z float tmp1 = 0; 2022-11-23T01:37:55.3964159Z auto tmp1_vec = at::vec::Vectorized(tmp1); 2022-11-23T01:37:55.3964242Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:37:55.3964306Z { 2022-11-23T01:37:55.3964445Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr2 + (8*i0) + (8*i1)); 2022-11-23T01:37:55.3964524Z tmp1_vec += tmp0; 2022-11-23T01:37:55.3964585Z } 2022-11-23T01:37:55.3964770Z tmp1 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp1_vec); 2022-11-23T01:37:55.3964888Z #pragma omp simd simdlen(4) reduction(+:tmp1) 2022-11-23T01:37:55.3964970Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:37:55.3965030Z { 2022-11-23T01:37:55.3965125Z auto tmp0 = out_ptr2[i1 + (8*i0)]; 2022-11-23T01:37:55.3965199Z tmp1 += tmp0; 2022-11-23T01:37:55.3965262Z } 2022-11-23T01:37:55.3965329Z out_ptr3[i0] = tmp1; 2022-11-23T01:37:55.3965393Z } 2022-11-23T01:37:55.3965452Z } 2022-11-23T01:37:55.3965530Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:55.3965588Z { 2022-11-23T01:37:55.3965717Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr3 + 8*i0); 2022-11-23T01:37:55.3965848Z auto tmp1 = at::vec::Vectorized(static_cast(5)); 2022-11-23T01:37:55.3965920Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3966007Z tmp2.store(out_ptr4 + 8*i0); 2022-11-23T01:37:55.3966067Z } 2022-11-23T01:37:55.3966152Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.3966229Z for(long i0=16; i0<16; i0+=1) 2022-11-23T01:37:55.3966288Z { 2022-11-23T01:37:55.3966368Z auto tmp0 = out_ptr3[i0]; 2022-11-23T01:37:55.3966450Z auto tmp1 = static_cast(5); 2022-11-23T01:37:55.3966531Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3966607Z out_ptr4[i0] = tmp2; 2022-11-23T01:37:55.3966668Z } 2022-11-23T01:37:55.3966726Z } 2022-11-23T01:37:55.3966811Z ''') 2022-11-23T01:37:55.3966817Z 2022-11-23T01:37:55.3966822Z 2022-11-23T01:37:55.3966909Z async_compile.wait(globals()) 2022-11-23T01:37:55.3966969Z del async_compile 2022-11-23T01:37:55.3966974Z 2022-11-23T01:37:55.3967044Z def call(args): 2022-11-23T01:37:55.3967111Z arg0_1, = args 2022-11-23T01:37:55.3967181Z args.clear() 2022-11-23T01:37:55.3967434Z buf0 = empty_strided((1, 16, 8, 8), (1024, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3967644Z buf1 = empty_strided((1, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3967848Z buf2 = empty_strided((1, 16, 8), (128, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3968045Z buf3 = empty_strided((1, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3968228Z buf4 = empty_strided((1, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3968462Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr())) 2022-11-23T01:37:55.3968560Z del arg0_1 2022-11-23T01:37:55.3968656Z return (buf4, buf3, buf2, buf1, buf0, ) 2022-11-23T01:37:55.3968661Z 2022-11-23T01:37:55.3968666Z 2022-11-23T01:37:55.3968743Z if __name__ == "__main__": 2022-11-23T01:37:55.3968858Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.3968980Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.3969200Z arg0_1 = rand_strided((1, 16, 8, 8), (1024, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.3969295Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.3969300Z 2022-11-23T01:37:55.3969365Z ok (1.572s) 2022-11-23T01:37:55.3969667Z test_sum5_cpu (__main__.CpuTests) ... [2022-11-23 01:35:26,716] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.3969939Z [2022-11-23 01:35:26,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.3970163Z [2022-11-23 01:35:26,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.3970418Z [2022-11-23 01:35:26,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.3970707Z [2022-11-23 01:35:26,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.3971031Z [2022-11-23 01:35:26,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.3971363Z [2022-11-23 01:35:26,716] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.3971444Z 761 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.3971534Z 2 LOAD_CONST 1 (1) 2022-11-23T01:37:55.3971608Z 4 BINARY_ADD 2022-11-23T01:37:55.3971696Z 6 STORE_FAST 1 (b) 2022-11-23T01:37:55.3971701Z 2022-11-23T01:37:55.3971787Z 762 8 LOAD_FAST 1 (b) 2022-11-23T01:37:55.3971879Z 10 LOAD_METHOD 0 (sum) 2022-11-23T01:37:55.3972017Z 12 LOAD_CONST 2 (-1) 2022-11-23T01:37:55.3972105Z 14 CALL_METHOD 1 2022-11-23T01:37:55.3972181Z 16 STORE_FAST 2 (c) 2022-11-23T01:37:55.3972186Z 2022-11-23T01:37:55.3972271Z 763 18 LOAD_FAST 2 (c) 2022-11-23T01:37:55.3972358Z 20 LOAD_CONST 3 (3) 2022-11-23T01:37:55.3972428Z 22 BINARY_ADD 2022-11-23T01:37:55.3972512Z 24 STORE_FAST 3 (d) 2022-11-23T01:37:55.3972518Z 2022-11-23T01:37:55.3972601Z 764 26 LOAD_FAST 3 (d) 2022-11-23T01:37:55.3972693Z 28 LOAD_METHOD 0 (sum) 2022-11-23T01:37:55.3972832Z 30 LOAD_CONST 2 (-1) 2022-11-23T01:37:55.3972906Z 32 CALL_METHOD 1 2022-11-23T01:37:55.3972994Z 34 STORE_FAST 4 (e) 2022-11-23T01:37:55.3972998Z 2022-11-23T01:37:55.3973082Z 765 36 LOAD_FAST 4 (e) 2022-11-23T01:37:55.3973166Z 38 LOAD_CONST 4 (5) 2022-11-23T01:37:55.3973266Z 40 BINARY_ADD 2022-11-23T01:37:55.3973352Z 42 STORE_FAST 5 (f) 2022-11-23T01:37:55.3973357Z 2022-11-23T01:37:55.3973440Z 766 44 LOAD_FAST 5 (f) 2022-11-23T01:37:55.3973513Z 46 BUILD_TUPLE 1 2022-11-23T01:37:55.3973587Z 48 RETURN_VALUE 2022-11-23T01:37:55.3973648Z 2022-11-23T01:37:55.3973653Z 2022-11-23T01:37:55.3973925Z [2022-11-23 01:35:26,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:761 2022-11-23T01:37:55.3974138Z [2022-11-23 01:35:26,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.3974418Z [2022-11-23 01:35:26,716] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:37:55.3974701Z [2022-11-23 01:35:26,717] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3974944Z [2022-11-23 01:35:26,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST b [TensorVariable()] 2022-11-23T01:37:55.3975211Z [2022-11-23 01:35:26,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:762 2022-11-23T01:37:55.3975409Z [2022-11-23 01:35:26,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [] 2022-11-23T01:37:55.3975651Z [2022-11-23 01:35:26,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()] 2022-11-23T01:37:55.3975931Z [2022-11-23 01:35:26,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:37:55.3976252Z [2022-11-23 01:35:26,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)] 2022-11-23T01:37:55.3976491Z [2022-11-23 01:35:26,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST c [TensorVariable()] 2022-11-23T01:37:55.3976761Z [2022-11-23 01:35:26,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:763 2022-11-23T01:37:55.3976970Z [2022-11-23 01:35:26,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST c [] 2022-11-23T01:37:55.3977211Z [2022-11-23 01:35:26,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable()] 2022-11-23T01:37:55.3977494Z [2022-11-23 01:35:26,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3977717Z [2022-11-23 01:35:26,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST d [TensorVariable()] 2022-11-23T01:37:55.3977989Z [2022-11-23 01:35:26,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:764 2022-11-23T01:37:55.3978196Z [2022-11-23 01:35:26,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST d [] 2022-11-23T01:37:55.3978441Z [2022-11-23 01:35:26,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable()] 2022-11-23T01:37:55.3978720Z [2022-11-23 01:35:26,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:37:55.3979289Z [2022-11-23 01:35:26,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)] 2022-11-23T01:37:55.3979536Z [2022-11-23 01:35:26,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST e [TensorVariable()] 2022-11-23T01:37:55.3979805Z [2022-11-23 01:35:26,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:765 2022-11-23T01:37:55.3980019Z [2022-11-23 01:35:26,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST e [] 2022-11-23T01:37:55.3980246Z [2022-11-23 01:35:26,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TensorVariable()] 2022-11-23T01:37:55.3980530Z [2022-11-23 01:35:26,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.3980825Z [2022-11-23 01:35:26,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST f [TensorVariable()] 2022-11-23T01:37:55.3981098Z [2022-11-23 01:35:26,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:766 2022-11-23T01:37:55.3981311Z [2022-11-23 01:35:26,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST f [] 2022-11-23T01:37:55.3981559Z [2022-11-23 01:35:26,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.3981811Z [2022-11-23 01:35:26,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.3982187Z [2022-11-23 01:35:26,726] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.3982436Z [2022-11-23 01:35:26,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.3982677Z [2022-11-23 01:35:26,726] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.3982920Z [2022-11-23 01:35:26,727] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.3983173Z [2022-11-23 01:35:26,731] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.3983367Z [2022-11-23 01:35:26,732] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.3983503Z __compiled_fn_389 .3148 opcode, name, target, args, kwargs 2022-11-23T01:37:55.3983595Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.3983773Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:55.3983907Z call_method, sum_1, sum, (add, -1), {} 2022-11-23T01:37:55.3984085Z call_function, add_1, , (sum_1, 3), {} 2022-11-23T01:37:55.3984211Z call_method, sum_2, sum, (add_1, -1), {} 2022-11-23T01:37:55.3984388Z call_function, add_2, , (sum_2, 5), {} 2022-11-23T01:37:55.3984484Z output, output, output, ((add_2,),), {} 2022-11-23T01:37:55.3984490Z 2022-11-23T01:37:55.3984768Z [2022-11-23 01:35:26,732] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3984861Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.3984951Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3985044Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.3985121Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.3985197Z 8 RETURN_VALUE 2022-11-23T01:37:55.3985203Z 2022-11-23T01:37:55.3985262Z 2022-11-23T01:37:55.3985538Z [2022-11-23 01:35:26,732] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.3985645Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_389) 2022-11-23T01:37:55.3985735Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.3985824Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3985900Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.3985975Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.3986077Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3986177Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.3986264Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.3986339Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.3986425Z 18 BUILD_TUPLE 1 2022-11-23T01:37:55.3986500Z 20 RETURN_VALUE 2022-11-23T01:37:55.3986505Z 2022-11-23T01:37:55.3986552Z 2022-11-23T01:37:55.3986737Z [2022-11-23 01:35:26,733] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.3986808Z - 2022-11-23T01:37:55.3986928Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.3986991Z { 2022-11-23T01:37:55.3987163Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.3987358Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.3987470Z 'obj_weakref': None 2022-11-23T01:37:55.3987698Z 'guarded_class': 2022-11-23T01:37:55.3987762Z } 2022-11-23T01:37:55.3987826Z 2022-11-23T01:37:55.3987896Z - 2022-11-23T01:37:55.3988022Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.3988084Z { 2022-11-23T01:37:55.3988302Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.3988449Z 'code': None, 2022-11-23T01:37:55.3988665Z 'obj_weakref': 2022-11-23T01:37:55.3988923Z 'guarded_class': 2022-11-23T01:37:55.3988989Z } 2022-11-23T01:37:55.3989055Z 2022-11-23T01:37:55.3989128Z - 2022-11-23T01:37:55.3989246Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.3989313Z { 2022-11-23T01:37:55.3989447Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.3989620Z 'code': ['___check_obj_id(model, 140538739627936)'], 2022-11-23T01:37:55.3989742Z 'obj_weakref': None 2022-11-23T01:37:55.3989975Z 'guarded_class': 2022-11-23T01:37:55.3990040Z } 2022-11-23T01:37:55.3990091Z 2022-11-23T01:37:55.3990166Z - 2022-11-23T01:37:55.3990290Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.3990353Z { 2022-11-23T01:37:55.3990491Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.3990711Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.3990836Z 'obj_weakref': None 2022-11-23T01:37:55.3991044Z 'guarded_class': 2022-11-23T01:37:55.3991109Z } 2022-11-23T01:37:55.3991169Z 2022-11-23T01:37:55.3991430Z [2022-11-23 01:35:26,741] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 381 2022-11-23T01:37:55.3991806Z [2022-11-23 01:35:28,157] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/oh/cohueqgpv6clekijyuqjjbgyqe47iwtyyq4pibfeodlqid52ehsv.py 2022-11-23T01:37:55.3992073Z [2022-11-23 01:35:28,157] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 381 2022-11-23T01:37:55.3992082Z 2022-11-23T01:37:55.3992176Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.3992244Z import torch 2022-11-23T01:37:55.3992300Z import random 2022-11-23T01:37:55.3992414Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.3992535Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.3992540Z 2022-11-23T01:37:55.3992617Z aten = torch.ops.aten 2022-11-23T01:37:55.3992750Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.3992841Z async_compile = AsyncCompile() 2022-11-23T01:37:55.3992846Z 2022-11-23T01:37:55.3992850Z 2022-11-23T01:37:55.3992988Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.3993191Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.3993306Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:37:55.3993398Z const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.3993498Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.3993557Z { 2022-11-23T01:37:55.3993642Z auto out_ptr1 = in_out_ptr0; 2022-11-23T01:37:55.3993718Z #pragma GCC ivdep 2022-11-23T01:37:55.3993798Z for(long i0=0; i0<136; i0+=1) 2022-11-23T01:37:55.3993846Z { 2022-11-23T01:37:55.3993907Z { 2022-11-23T01:37:55.3994129Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:37:55.3994209Z float tmp3 = 0; 2022-11-23T01:37:55.3994329Z auto tmp3_vec = at::vec::Vectorized(tmp3); 2022-11-23T01:37:55.3994412Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:37:55.3994475Z { 2022-11-23T01:37:55.3994619Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (9*i0)); 2022-11-23T01:37:55.3994745Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:55.3994865Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3994945Z tmp3_vec += tmp2; 2022-11-23T01:37:55.3995009Z } 2022-11-23T01:37:55.3995206Z tmp3 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp3_vec); 2022-11-23T01:37:55.3995328Z #pragma omp simd simdlen(4) reduction(+:tmp3) 2022-11-23T01:37:55.3995414Z for(long i1=8; i1<9; i1+=1) 2022-11-23T01:37:55.3995480Z { 2022-11-23T01:37:55.3995563Z auto tmp0 = in_ptr0[i1 + (9*i0)]; 2022-11-23T01:37:55.3995667Z auto tmp1 = static_cast(1); 2022-11-23T01:37:55.3995755Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3995831Z tmp3 += tmp2; 2022-11-23T01:37:55.3995895Z } 2022-11-23T01:37:55.3995977Z out_ptr0[i0] = tmp3; 2022-11-23T01:37:55.3996040Z } 2022-11-23T01:37:55.3996090Z } 2022-11-23T01:37:55.3996168Z #pragma GCC ivdep 2022-11-23T01:37:55.3996249Z for(long i0=0; i0<17; i0+=1) 2022-11-23T01:37:55.3996312Z { 2022-11-23T01:37:55.3996374Z { 2022-11-23T01:37:55.3996562Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:37:55.3996641Z float tmp3 = 0; 2022-11-23T01:37:55.3996753Z auto tmp3_vec = at::vec::Vectorized(tmp3); 2022-11-23T01:37:55.3996839Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:37:55.3996903Z { 2022-11-23T01:37:55.3997046Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr0 + (8*i0) + (8*i1)); 2022-11-23T01:37:55.3997184Z auto tmp1 = at::vec::Vectorized(static_cast(3)); 2022-11-23T01:37:55.3997274Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3997356Z tmp3_vec += tmp2; 2022-11-23T01:37:55.3997405Z } 2022-11-23T01:37:55.3997605Z tmp3 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp3_vec); 2022-11-23T01:37:55.3997723Z #pragma omp simd simdlen(4) reduction(+:tmp3) 2022-11-23T01:37:55.3997808Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:37:55.3997871Z { 2022-11-23T01:37:55.3997971Z auto tmp0 = out_ptr0[i1 + (8*i0)]; 2022-11-23T01:37:55.3998071Z auto tmp1 = static_cast(3); 2022-11-23T01:37:55.3998160Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3998222Z tmp3 += tmp2; 2022-11-23T01:37:55.3998286Z } 2022-11-23T01:37:55.3998366Z out_ptr1[i0] = tmp3; 2022-11-23T01:37:55.3998431Z } 2022-11-23T01:37:55.3998497Z } 2022-11-23T01:37:55.3998578Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:55.3998626Z { 2022-11-23T01:37:55.3998760Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr1 + 8*i0); 2022-11-23T01:37:55.3998895Z auto tmp1 = at::vec::Vectorized(static_cast(5)); 2022-11-23T01:37:55.3998980Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3999072Z tmp2.store(in_out_ptr0 + 8*i0); 2022-11-23T01:37:55.3999134Z } 2022-11-23T01:37:55.3999221Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.3999303Z for(long i0=16; i0<17; i0+=1) 2022-11-23T01:37:55.3999380Z { 2022-11-23T01:37:55.3999466Z auto tmp0 = out_ptr1[i0]; 2022-11-23T01:37:55.3999564Z auto tmp1 = static_cast(5); 2022-11-23T01:37:55.3999647Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.3999725Z in_out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.3999784Z } 2022-11-23T01:37:55.3999829Z } 2022-11-23T01:37:55.3999910Z ''') 2022-11-23T01:37:55.3999916Z 2022-11-23T01:37:55.3999920Z 2022-11-23T01:37:55.4000010Z async_compile.wait(globals()) 2022-11-23T01:37:55.4000084Z del async_compile 2022-11-23T01:37:55.4000089Z 2022-11-23T01:37:55.4000157Z def call(args): 2022-11-23T01:37:55.4000278Z arg0_1, = args 2022-11-23T01:37:55.4000350Z args.clear() 2022-11-23T01:37:55.4000564Z buf0 = empty_strided((1, 17, 8), (136, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4000750Z buf1 = empty_strided((1, 17), (17, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4000834Z buf2 = buf1; del buf1 # reuse 2022-11-23T01:37:55.4001000Z kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.4001067Z del arg0_1 2022-11-23T01:37:55.4001138Z return (buf2, ) 2022-11-23T01:37:55.4001142Z 2022-11-23T01:37:55.4001146Z 2022-11-23T01:37:55.4001224Z if __name__ == "__main__": 2022-11-23T01:37:55.4001335Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.4001456Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.4001662Z arg0_1 = rand_strided((1, 17, 8, 9), (1224, 72, 9, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4001773Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.4001778Z 2022-11-23T01:37:55.4001843Z ok (1.449s) 2022-11-23T01:37:55.4002152Z test_sum_dtype_cpu (__main__.CpuTests) ... [2022-11-23 01:35:28,164] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.4002426Z [2022-11-23 01:35:28,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.4002649Z [2022-11-23 01:35:28,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.4002906Z [2022-11-23 01:35:28,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.4003195Z [2022-11-23 01:35:28,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.4003518Z [2022-11-23 01:35:28,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.4003838Z [2022-11-23 01:35:28,165] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.4003932Z 867 0 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4004021Z 2 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4004114Z 4 LOAD_ATTR 0 (sum) 2022-11-23T01:37:55.4004255Z 6 LOAD_CONST 1 (-1) 2022-11-23T01:37:55.4004351Z 8 LOAD_GLOBAL 1 (torch) 2022-11-23T01:37:55.4004442Z 10 LOAD_ATTR 2 (double) 2022-11-23T01:37:55.4004588Z 12 LOAD_CONST 2 (('dtype',)) 2022-11-23T01:37:55.4004670Z 14 CALL_FUNCTION_KW 2 2022-11-23T01:37:55.4004749Z 16 BINARY_MULTIPLY 2022-11-23T01:37:55.4004839Z 18 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4004928Z 20 LOAD_ATTR 0 (sum) 2022-11-23T01:37:55.4005020Z 22 LOAD_GLOBAL 1 (torch) 2022-11-23T01:37:55.4005107Z 24 LOAD_ATTR 2 (double) 2022-11-23T01:37:55.4005253Z 26 LOAD_CONST 2 (('dtype',)) 2022-11-23T01:37:55.4005332Z 28 CALL_FUNCTION_KW 1 2022-11-23T01:37:55.4005405Z 30 BINARY_ADD 2022-11-23T01:37:55.4005509Z 32 RETURN_VALUE 2022-11-23T01:37:55.4005571Z 2022-11-23T01:37:55.4005576Z 2022-11-23T01:37:55.4005846Z [2022-11-23 01:35:28,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:867 2022-11-23T01:37:55.4006059Z [2022-11-23 01:35:28,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.4006298Z [2022-11-23 01:35:28,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()] 2022-11-23T01:37:55.4006572Z [2022-11-23 01:35:28,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4006900Z [2022-11-23 01:35:28,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:37:55.4007249Z [2022-11-23 01:35:28,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)] 2022-11-23T01:37:55.4007753Z [2022-11-23 01:35:28,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR double [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int), TorchVariable()] 2022-11-23T01:37:55.4008146Z [2022-11-23 01:35:28,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int), ConstantVariable(dtype)] 2022-11-23T01:37:55.4008582Z [2022-11-23 01:35:28,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int), ConstantVariable(dtype), ConstantVariable(tuple)] 2022-11-23T01:37:55.4008871Z [2022-11-23 01:35:28,168] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4009115Z [2022-11-23 01:35:28,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()] 2022-11-23T01:37:55.4009385Z [2022-11-23 01:35:28,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4009700Z [2022-11-23 01:35:28,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:37:55.4010160Z [2022-11-23 01:35:28,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR double [TensorVariable(), GetAttrVariable(TensorVariable(), sum), TorchVariable()] 2022-11-23T01:37:55.4010517Z [2022-11-23 01:35:28,169] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(dtype)] 2022-11-23T01:37:55.4010916Z [2022-11-23 01:35:28,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 1 [TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(dtype), ConstantVariable(tuple)] 2022-11-23T01:37:55.4011190Z [2022-11-23 01:35:28,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4011426Z [2022-11-23 01:35:28,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.4011754Z [2022-11-23 01:35:28,171] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.4012002Z [2022-11-23 01:35:28,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.4012242Z [2022-11-23 01:35:28,171] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.4012496Z [2022-11-23 01:35:28,173] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.4012777Z [2022-11-23 01:35:28,177] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.4012972Z [2022-11-23 01:35:28,178] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.4013107Z __compiled_fn_390 .3154 opcode, name, target, args, kwargs 2022-11-23T01:37:55.4013195Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.4013363Z call_method, sum_1, sum, (ex_0_, -1), {'dtype': torch.float64} 2022-11-23T01:37:55.4013542Z call_function, mul, , (ex_0_, sum_1), {} 2022-11-23T01:37:55.4013717Z call_method, sum_2, sum, (ex_0_,), {'dtype': torch.float64} 2022-11-23T01:37:55.4013930Z call_function, add, , (mul, sum_2), {} 2022-11-23T01:37:55.4014025Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.4014031Z 2022-11-23T01:37:55.4014310Z [2022-11-23 01:35:28,178] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4014407Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.4014497Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4014577Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.4014665Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.4014740Z 8 RETURN_VALUE 2022-11-23T01:37:55.4014745Z 2022-11-23T01:37:55.4014804Z 2022-11-23T01:37:55.4015081Z [2022-11-23 01:35:28,178] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4015187Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_390) 2022-11-23T01:37:55.4015280Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4015355Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4015431Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.4015517Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.4015607Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.4015683Z 12 RETURN_VALUE 2022-11-23T01:37:55.4015689Z 2022-11-23T01:37:55.4015748Z 2022-11-23T01:37:55.4015931Z [2022-11-23 01:35:28,179] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.4015990Z - 2022-11-23T01:37:55.4016109Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.4016172Z { 2022-11-23T01:37:55.4016313Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.4016501Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.4016622Z 'obj_weakref': None 2022-11-23T01:37:55.4016846Z 'guarded_class': 2022-11-23T01:37:55.4016900Z } 2022-11-23T01:37:55.4016962Z 2022-11-23T01:37:55.4017032Z - 2022-11-23T01:37:55.4017159Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.4017220Z { 2022-11-23T01:37:55.4017363Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.4017473Z 'code': None, 2022-11-23T01:37:55.4017675Z 'obj_weakref': 2022-11-23T01:37:55.4017930Z 'guarded_class': 2022-11-23T01:37:55.4017996Z } 2022-11-23T01:37:55.4018059Z 2022-11-23T01:37:55.4018128Z - 2022-11-23T01:37:55.4018259Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.4018320Z { 2022-11-23T01:37:55.4018443Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.4018618Z 'code': ['___check_obj_id(model, 140538747196624)'], 2022-11-23T01:37:55.4018882Z 'obj_weakref': None 2022-11-23T01:37:55.4019229Z 'guarded_class': 2022-11-23T01:37:55.4019302Z } 2022-11-23T01:37:55.4019364Z 2022-11-23T01:37:55.4019435Z - 2022-11-23T01:37:55.4019605Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.4019673Z { 2022-11-23T01:37:55.4019813Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.4020034Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.4020156Z 'obj_weakref': None 2022-11-23T01:37:55.4020379Z 'guarded_class': 2022-11-23T01:37:55.4020443Z } 2022-11-23T01:37:55.4020494Z 2022-11-23T01:37:55.4020565Z - 2022-11-23T01:37:55.4020740Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.4020805Z { 2022-11-23T01:37:55.4020928Z 'guard_types': None, 2022-11-23T01:37:55.4021038Z 'code': None, 2022-11-23T01:37:55.4021158Z 'obj_weakref': None 2022-11-23T01:37:55.4021269Z 'guarded_class': None 2022-11-23T01:37:55.4021334Z } 2022-11-23T01:37:55.4021397Z 2022-11-23T01:37:55.4021469Z - 2022-11-23T01:37:55.4021620Z global 'torch.double' CONSTANT_MATCH 2022-11-23T01:37:55.4021681Z { 2022-11-23T01:37:55.4021823Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.4021986Z 'code': ["str(torch.double) == 'torch.float64'"], 2022-11-23T01:37:55.4022104Z 'obj_weakref': None 2022-11-23T01:37:55.4022329Z 'guarded_class': 2022-11-23T01:37:55.4022394Z } 2022-11-23T01:37:55.4022461Z 2022-11-23T01:37:55.4022728Z [2022-11-23 01:35:28,187] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 382 2022-11-23T01:37:55.4023099Z [2022-11-23 01:35:29,590] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7x/c7xjc4exdyb6wtodt7xwryy6mr64qrwxunlit2oyeuev4bo6zp7s.py 2022-11-23T01:37:55.4023369Z [2022-11-23 01:35:29,590] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 382 2022-11-23T01:37:55.4023375Z 2022-11-23T01:37:55.4023456Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.4023524Z import torch 2022-11-23T01:37:55.4023593Z import random 2022-11-23T01:37:55.4023708Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.4023826Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.4023832Z 2022-11-23T01:37:55.4023913Z aten = torch.ops.aten 2022-11-23T01:37:55.4024045Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.4024126Z async_compile = AsyncCompile() 2022-11-23T01:37:55.4024142Z 2022-11-23T01:37:55.4024147Z 2022-11-23T01:37:55.4024269Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.4024474Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.4024592Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.4024694Z double* __restrict__ out_ptr0, 2022-11-23T01:37:55.4024790Z double* __restrict__ out_ptr1, 2022-11-23T01:37:55.4024883Z double* __restrict__ out_ptr2) 2022-11-23T01:37:55.4024944Z { 2022-11-23T01:37:55.4025007Z #pragma GCC ivdep 2022-11-23T01:37:55.4025087Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:37:55.4025148Z { 2022-11-23T01:37:55.4025209Z { 2022-11-23T01:37:55.4025272Z { 2022-11-23T01:37:55.4025350Z double tmp2 = 0; 2022-11-23T01:37:55.4025439Z for(long i1=0; i1<32; i1+=1) 2022-11-23T01:37:55.4025493Z { 2022-11-23T01:37:55.4025558Z { 2022-11-23T01:37:55.4025662Z auto tmp0 = in_ptr0[i1 + (32*i0)]; 2022-11-23T01:37:55.4025773Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:37:55.4025851Z tmp2 += tmp1; 2022-11-23T01:37:55.4025952Z } 2022-11-23T01:37:55.4026016Z } 2022-11-23T01:37:55.4026086Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.4026146Z } 2022-11-23T01:37:55.4026206Z } 2022-11-23T01:37:55.4026266Z } 2022-11-23T01:37:55.4026324Z { 2022-11-23T01:37:55.4026385Z { 2022-11-23T01:37:55.4026449Z double tmp2 = 0; 2022-11-23T01:37:55.4026536Z for(long i0=0; i0<1024; i0+=1) 2022-11-23T01:37:55.4026597Z { 2022-11-23T01:37:55.4026659Z { 2022-11-23T01:37:55.4026748Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.4026883Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:37:55.4026960Z tmp2 += tmp1; 2022-11-23T01:37:55.4027012Z } 2022-11-23T01:37:55.4027075Z } 2022-11-23T01:37:55.4027151Z out_ptr1[0] = tmp2; 2022-11-23T01:37:55.4027212Z } 2022-11-23T01:37:55.4027270Z } 2022-11-23T01:37:55.4027346Z #pragma GCC ivdep 2022-11-23T01:37:55.4027413Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:37:55.4027471Z { 2022-11-23T01:37:55.4027548Z #pragma GCC ivdep 2022-11-23T01:37:55.4027628Z for(long i1=0; i1<32; i1+=1) 2022-11-23T01:37:55.4027691Z { 2022-11-23T01:37:55.4027752Z { 2022-11-23T01:37:55.4027814Z { 2022-11-23T01:37:55.4027900Z auto tmp0 = in_ptr0[i1 + (32*i0)]; 2022-11-23T01:37:55.4027992Z auto tmp2 = out_ptr0[i1]; 2022-11-23T01:37:55.4028083Z auto tmp4 = out_ptr1[0]; 2022-11-23T01:37:55.4028276Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:37:55.4028369Z auto tmp3 = tmp1 * tmp2; 2022-11-23T01:37:55.4028460Z auto tmp5 = tmp3 + tmp4; 2022-11-23T01:37:55.4028553Z out_ptr2[i1 + (32*i0)] = tmp5; 2022-11-23T01:37:55.4028605Z } 2022-11-23T01:37:55.4028667Z } 2022-11-23T01:37:55.4028730Z } 2022-11-23T01:37:55.4028792Z } 2022-11-23T01:37:55.4028852Z } 2022-11-23T01:37:55.4028938Z ''') 2022-11-23T01:37:55.4028944Z 2022-11-23T01:37:55.4028948Z 2022-11-23T01:37:55.4029040Z async_compile.wait(globals()) 2022-11-23T01:37:55.4029099Z del async_compile 2022-11-23T01:37:55.4029117Z 2022-11-23T01:37:55.4029173Z def call(args): 2022-11-23T01:37:55.4029242Z arg0_1, = args 2022-11-23T01:37:55.4029315Z args.clear() 2022-11-23T01:37:55.4029515Z buf0 = empty_strided((32, ), (1, ), device='cpu', dtype=torch.float64) 2022-11-23T01:37:55.4029704Z buf1 = empty_strided((), (), device='cpu', dtype=torch.float64) 2022-11-23T01:37:55.4029910Z buf2 = empty_strided((32, 32), (32, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:37:55.4030100Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:37:55.4030156Z del arg0_1 2022-11-23T01:37:55.4030226Z return (buf2, ) 2022-11-23T01:37:55.4030233Z 2022-11-23T01:37:55.4030238Z 2022-11-23T01:37:55.4030312Z if __name__ == "__main__": 2022-11-23T01:37:55.4030424Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.4030546Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.4030747Z arg0_1 = rand_strided((32, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4030856Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.4030860Z 2022-11-23T01:37:55.4030925Z ok (1.433s) 2022-11-23T01:37:55.4031217Z test_sum_int_cpu (__main__.CpuTests) ... [2022-11-23 01:35:29,598] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.4031495Z [2022-11-23 01:35:29,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.4031716Z [2022-11-23 01:35:29,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.4032047Z [2022-11-23 01:35:29,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.4032339Z [2022-11-23 01:35:29,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.4032668Z [2022-11-23 01:35:29,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.4032999Z [2022-11-23 01:35:29,598] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.4033127Z 858 0 LOAD_CONST 1 (2) 2022-11-23T01:37:55.4033221Z 2 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4033302Z 4 LOAD_METHOD 0 (sum) 2022-11-23T01:37:55.4033446Z 6 LOAD_CONST 2 (-1) 2022-11-23T01:37:55.4033536Z 8 CALL_METHOD 1 2022-11-23T01:37:55.4033621Z 10 BINARY_MULTIPLY 2022-11-23T01:37:55.4033712Z 12 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4033805Z 14 LOAD_METHOD 0 (sum) 2022-11-23T01:37:55.4033894Z 16 CALL_METHOD 0 2022-11-23T01:37:55.4033956Z 18 BINARY_ADD 2022-11-23T01:37:55.4034033Z 20 RETURN_VALUE 2022-11-23T01:37:55.4034095Z 2022-11-23T01:37:55.4034100Z 2022-11-23T01:37:55.4034372Z [2022-11-23 01:35:29,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:858 2022-11-23T01:37:55.4034590Z [2022-11-23 01:35:29,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [] 2022-11-23T01:37:55.4034844Z [2022-11-23 01:35:29,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ConstantVariable(int)] 2022-11-23T01:37:55.4035124Z [2022-11-23 01:35:29,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [ConstantVariable(int), TensorVariable()] 2022-11-23T01:37:55.4035448Z [2022-11-23 01:35:29,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:37:55.4035806Z [2022-11-23 01:35:29,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)] 2022-11-23T01:37:55.4036089Z [2022-11-23 01:35:29,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [ConstantVariable(int), TensorVariable()] 2022-11-23T01:37:55.4036332Z [2022-11-23 01:35:29,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()] 2022-11-23T01:37:55.4036606Z [2022-11-23 01:35:29,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4036919Z [2022-11-23 01:35:29,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:37:55.4037196Z [2022-11-23 01:35:29,603] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4037447Z [2022-11-23 01:35:29,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.4037782Z [2022-11-23 01:35:29,604] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.4038035Z [2022-11-23 01:35:29,604] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.4038274Z [2022-11-23 01:35:29,604] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.4038535Z [2022-11-23 01:35:29,605] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.4038774Z [2022-11-23 01:35:29,609] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.4038995Z [2022-11-23 01:35:29,610] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.4039136Z __compiled_fn_391 .3160 opcode, name, target, args, kwargs 2022-11-23T01:37:55.4039227Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.4039369Z call_method, sum_1, sum, (ex_0_, -1), {} 2022-11-23T01:37:55.4039549Z call_function, mul, , (2, sum_1), {} 2022-11-23T01:37:55.4039640Z call_method, sum_2, sum, (ex_0_,), {} 2022-11-23T01:37:55.4039805Z call_function, add, , (mul, sum_2), {} 2022-11-23T01:37:55.4039903Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.4039940Z 2022-11-23T01:37:55.4040226Z [2022-11-23 01:35:29,610] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4040325Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.4040418Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4040515Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.4040607Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.4040687Z 8 RETURN_VALUE 2022-11-23T01:37:55.4040693Z 2022-11-23T01:37:55.4040741Z 2022-11-23T01:37:55.4041017Z [2022-11-23 01:35:29,610] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4041126Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_391) 2022-11-23T01:37:55.4041214Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4041305Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4041385Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.4041476Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.4041565Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.4041628Z 12 RETURN_VALUE 2022-11-23T01:37:55.4041633Z 2022-11-23T01:37:55.4041692Z 2022-11-23T01:37:55.4041877Z [2022-11-23 01:35:29,611] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.4041953Z - 2022-11-23T01:37:55.4042072Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.4042135Z { 2022-11-23T01:37:55.4042277Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.4042455Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.4042578Z 'obj_weakref': None 2022-11-23T01:37:55.4042804Z 'guarded_class': 2022-11-23T01:37:55.4042869Z } 2022-11-23T01:37:55.4042930Z 2022-11-23T01:37:55.4043002Z - 2022-11-23T01:37:55.4043128Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.4043178Z { 2022-11-23T01:37:55.4043326Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.4043435Z 'code': None, 2022-11-23T01:37:55.4043652Z 'obj_weakref': 2022-11-23T01:37:55.4043912Z 'guarded_class': 2022-11-23T01:37:55.4043979Z } 2022-11-23T01:37:55.4044042Z 2022-11-23T01:37:55.4044100Z - 2022-11-23T01:37:55.4044231Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.4044294Z { 2022-11-23T01:37:55.4044429Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.4044604Z 'code': ['___check_obj_id(model, 140538743382096)'], 2022-11-23T01:37:55.4044724Z 'obj_weakref': None 2022-11-23T01:37:55.4044956Z 'guarded_class': 2022-11-23T01:37:55.4045009Z } 2022-11-23T01:37:55.4045071Z 2022-11-23T01:37:55.4045139Z - 2022-11-23T01:37:55.4045263Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.4045327Z { 2022-11-23T01:37:55.4045464Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.4045715Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.4045825Z 'obj_weakref': None 2022-11-23T01:37:55.4046047Z 'guarded_class': 2022-11-23T01:37:55.4046111Z } 2022-11-23T01:37:55.4046190Z 2022-11-23T01:37:55.4046558Z [2022-11-23 01:35:29,619] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 383 2022-11-23T01:37:55.4046937Z [2022-11-23 01:35:30,991] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gv/cgvz6iowe27t6skdyjibtgfcw2lavfrp3hskf3bjn3rlnys5va24.py 2022-11-23T01:37:55.4047257Z [2022-11-23 01:35:30,992] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 383 2022-11-23T01:37:55.4047496Z [2022-11-23 01:35:30,997] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.4047846Z [2022-11-23 01:35:30,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.4048129Z [2022-11-23 01:35:30,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.4048390Z [2022-11-23 01:35:30,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.4048676Z [2022-11-23 01:35:30,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.4049004Z [2022-11-23 01:35:30,997] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.4049335Z [2022-11-23 01:35:30,998] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.4049428Z 858 0 LOAD_CONST 1 (2) 2022-11-23T01:37:55.4049523Z 2 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4049614Z 4 LOAD_METHOD 0 (sum) 2022-11-23T01:37:55.4049741Z 6 LOAD_CONST 2 (-1) 2022-11-23T01:37:55.4049828Z 8 CALL_METHOD 1 2022-11-23T01:37:55.4049907Z 10 BINARY_MULTIPLY 2022-11-23T01:37:55.4049997Z 12 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4050088Z 14 LOAD_METHOD 0 (sum) 2022-11-23T01:37:55.4050174Z 16 CALL_METHOD 0 2022-11-23T01:37:55.4050245Z 18 BINARY_ADD 2022-11-23T01:37:55.4050310Z 20 RETURN_VALUE 2022-11-23T01:37:55.4050370Z 2022-11-23T01:37:55.4050376Z 2022-11-23T01:37:55.4050645Z [2022-11-23 01:35:30,998] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:858 2022-11-23T01:37:55.4050859Z [2022-11-23 01:35:30,998] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [] 2022-11-23T01:37:55.4051112Z [2022-11-23 01:35:30,998] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ConstantVariable(int)] 2022-11-23T01:37:55.4051388Z [2022-11-23 01:35:30,998] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [ConstantVariable(int), TensorVariable()] 2022-11-23T01:37:55.4051705Z [2022-11-23 01:35:30,998] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:37:55.4052058Z [2022-11-23 01:35:30,998] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)] 2022-11-23T01:37:55.4052353Z [2022-11-23 01:35:31,000] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [ConstantVariable(int), TensorVariable()] 2022-11-23T01:37:55.4052580Z [2022-11-23 01:35:31,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()] 2022-11-23T01:37:55.4052885Z [2022-11-23 01:35:31,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4053198Z [2022-11-23 01:35:31,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:37:55.4053472Z [2022-11-23 01:35:31,002] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4053721Z [2022-11-23 01:35:31,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.4054054Z [2022-11-23 01:35:31,003] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.4054334Z [2022-11-23 01:35:31,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.4054571Z [2022-11-23 01:35:31,003] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.4054829Z [2022-11-23 01:35:31,004] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.4055081Z [2022-11-23 01:35:31,008] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.4055260Z [2022-11-23 01:35:31,009] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.4055393Z __compiled_fn_392 .3166 opcode, name, target, args, kwargs 2022-11-23T01:37:55.4055483Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.4055621Z call_method, sum_1, sum, (ex_0_, -1), {} 2022-11-23T01:37:55.4055799Z call_function, mul, , (2, sum_1), {} 2022-11-23T01:37:55.4055888Z call_method, sum_2, sum, (ex_0_,), {} 2022-11-23T01:37:55.4056068Z call_function, add, , (mul, sum_2), {} 2022-11-23T01:37:55.4056150Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.4056169Z 2022-11-23T01:37:55.4056439Z [2022-11-23 01:35:31,009] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4056533Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.4056625Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4056716Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.4056804Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.4056879Z 8 RETURN_VALUE 2022-11-23T01:37:55.4056884Z 2022-11-23T01:37:55.4056947Z 2022-11-23T01:37:55.4057208Z [2022-11-23 01:35:31,009] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4057319Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_392) 2022-11-23T01:37:55.4057407Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4057496Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4057571Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.4057659Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.4057748Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.4057821Z 12 RETURN_VALUE 2022-11-23T01:37:55.4057825Z 2022-11-23T01:37:55.4057873Z 2022-11-23T01:37:55.4058059Z [2022-11-23 01:35:31,010] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.4058130Z - 2022-11-23T01:37:55.4058250Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.4058313Z { 2022-11-23T01:37:55.4058457Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.4058644Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.4058904Z 'obj_weakref': None 2022-11-23T01:37:55.4059236Z 'guarded_class': 2022-11-23T01:37:55.4059308Z } 2022-11-23T01:37:55.4059372Z 2022-11-23T01:37:55.4059445Z - 2022-11-23T01:37:55.4059572Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.4059699Z { 2022-11-23T01:37:55.4059836Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.4059945Z 'code': None, 2022-11-23T01:37:55.4060162Z 'obj_weakref': 2022-11-23T01:37:55.4060419Z 'guarded_class': 2022-11-23T01:37:55.4060484Z } 2022-11-23T01:37:55.4060548Z 2022-11-23T01:37:55.4060619Z - 2022-11-23T01:37:55.4060738Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.4060843Z { 2022-11-23T01:37:55.4060983Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.4061159Z 'code': ['___check_obj_id(model, 140538743382096)'], 2022-11-23T01:37:55.4061282Z 'obj_weakref': None 2022-11-23T01:37:55.4061518Z 'guarded_class': 2022-11-23T01:37:55.4061583Z } 2022-11-23T01:37:55.4061634Z 2022-11-23T01:37:55.4061706Z - 2022-11-23T01:37:55.4061827Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.4061888Z { 2022-11-23T01:37:55.4062024Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.4062242Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.4062362Z 'obj_weakref': None 2022-11-23T01:37:55.4062571Z 'guarded_class': 2022-11-23T01:37:55.4062638Z } 2022-11-23T01:37:55.4062703Z 2022-11-23T01:37:55.4062967Z [2022-11-23 01:35:31,018] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 384 2022-11-23T01:37:55.4063341Z [2022-11-23 01:35:32,538] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/f7/cf7hhiyayv4sa3w6vrnpf4ychmtyjqptjk5r4rrymxbvt6qgcom3.py 2022-11-23T01:37:55.4063607Z [2022-11-23 01:35:32,538] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 384 2022-11-23T01:37:55.4063846Z [2022-11-23 01:35:32,544] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.4064119Z [2022-11-23 01:35:32,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.4064326Z [2022-11-23 01:35:32,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.4064581Z [2022-11-23 01:35:32,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.4064870Z [2022-11-23 01:35:32,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.4065196Z [2022-11-23 01:35:32,544] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.4065527Z [2022-11-23 01:35:32,544] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.4065620Z 858 0 LOAD_CONST 1 (2) 2022-11-23T01:37:55.4065709Z 2 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4065799Z 4 LOAD_METHOD 0 (sum) 2022-11-23T01:37:55.4065936Z 6 LOAD_CONST 2 (-1) 2022-11-23T01:37:55.4066011Z 8 CALL_METHOD 1 2022-11-23T01:37:55.4066092Z 10 BINARY_MULTIPLY 2022-11-23T01:37:55.4066179Z 12 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4066269Z 14 LOAD_METHOD 0 (sum) 2022-11-23T01:37:55.4066354Z 16 CALL_METHOD 0 2022-11-23T01:37:55.4066426Z 18 BINARY_ADD 2022-11-23T01:37:55.4066499Z 20 RETURN_VALUE 2022-11-23T01:37:55.4066547Z 2022-11-23T01:37:55.4066582Z 2022-11-23T01:37:55.4066853Z [2022-11-23 01:35:32,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:858 2022-11-23T01:37:55.4067070Z [2022-11-23 01:35:32,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [] 2022-11-23T01:37:55.4067318Z [2022-11-23 01:35:32,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [ConstantVariable(int)] 2022-11-23T01:37:55.4067594Z [2022-11-23 01:35:32,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [ConstantVariable(int), TensorVariable()] 2022-11-23T01:37:55.4067911Z [2022-11-23 01:35:32,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:37:55.4068368Z [2022-11-23 01:35:32,545] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [ConstantVariable(int), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)] 2022-11-23T01:37:55.4068734Z [2022-11-23 01:35:32,546] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [ConstantVariable(int), TensorVariable()] 2022-11-23T01:37:55.4069030Z [2022-11-23 01:35:32,547] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()] 2022-11-23T01:37:55.4069291Z [2022-11-23 01:35:32,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4069600Z [2022-11-23 01:35:32,548] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [TensorVariable(), GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:37:55.4069873Z [2022-11-23 01:35:32,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4070126Z [2022-11-23 01:35:32,549] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.4070461Z [2022-11-23 01:35:32,549] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.4070711Z [2022-11-23 01:35:32,550] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.4070951Z [2022-11-23 01:35:32,550] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.4071209Z [2022-11-23 01:35:32,551] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.4071464Z [2022-11-23 01:35:32,555] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.4071657Z [2022-11-23 01:35:32,555] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.4071782Z __compiled_fn_393 .3172 opcode, name, target, args, kwargs 2022-11-23T01:37:55.4071873Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.4072013Z call_method, sum_1, sum, (ex_0_, -1), {} 2022-11-23T01:37:55.4072192Z call_function, mul, , (2, sum_1), {} 2022-11-23T01:37:55.4072285Z call_method, sum_2, sum, (ex_0_,), {} 2022-11-23T01:37:55.4072465Z call_function, add, , (mul, sum_2), {} 2022-11-23T01:37:55.4072561Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.4072567Z 2022-11-23T01:37:55.4072848Z [2022-11-23 01:35:32,556] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4072931Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.4073021Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4073112Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.4073206Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.4073283Z 8 RETURN_VALUE 2022-11-23T01:37:55.4073289Z 2022-11-23T01:37:55.4073349Z 2022-11-23T01:37:55.4073626Z [2022-11-23 01:35:32,556] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4073763Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_393) 2022-11-23T01:37:55.4073856Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4073945Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4074022Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.4074110Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.4074199Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.4074274Z 12 RETURN_VALUE 2022-11-23T01:37:55.4074279Z 2022-11-23T01:37:55.4074337Z 2022-11-23T01:37:55.4074510Z [2022-11-23 01:35:32,557] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.4074616Z - 2022-11-23T01:37:55.4074738Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.4074804Z { 2022-11-23T01:37:55.4074946Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.4075135Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.4075256Z 'obj_weakref': None 2022-11-23T01:37:55.4075472Z 'guarded_class': 2022-11-23T01:37:55.4075536Z } 2022-11-23T01:37:55.4075597Z 2022-11-23T01:37:55.4075668Z - 2022-11-23T01:37:55.4075794Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.4075858Z { 2022-11-23T01:37:55.4075989Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.4076097Z 'code': None, 2022-11-23T01:37:55.4076391Z 'obj_weakref': 2022-11-23T01:37:55.4076657Z 'guarded_class': 2022-11-23T01:37:55.4076722Z } 2022-11-23T01:37:55.4076784Z 2022-11-23T01:37:55.4076854Z - 2022-11-23T01:37:55.4076984Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.4077035Z { 2022-11-23T01:37:55.4077176Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.4077349Z 'code': ['___check_obj_id(model, 140538743382096)'], 2022-11-23T01:37:55.4077470Z 'obj_weakref': None 2022-11-23T01:37:55.4077702Z 'guarded_class': 2022-11-23T01:37:55.4077767Z } 2022-11-23T01:37:55.4077828Z 2022-11-23T01:37:55.4077885Z - 2022-11-23T01:37:55.4078007Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.4078069Z { 2022-11-23T01:37:55.4078206Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.4078427Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.4078548Z 'obj_weakref': None 2022-11-23T01:37:55.4078770Z 'guarded_class': 2022-11-23T01:37:55.4078822Z } 2022-11-23T01:37:55.4078885Z 2022-11-23T01:37:55.4079144Z [2022-11-23 01:35:32,564] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 385 2022-11-23T01:37:55.4079630Z [2022-11-23 01:35:34,079] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ok/cokz2xblhvhnephkuf4ipimu7gutjba2km45qth77uwvsxqfzovr.py 2022-11-23T01:37:55.4079956Z [2022-11-23 01:35:34,079] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 385 2022-11-23T01:37:55.4079962Z 2022-11-23T01:37:55.4080059Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.4080131Z import torch 2022-11-23T01:37:55.4080205Z import random 2022-11-23T01:37:55.4080308Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.4080431Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.4080436Z 2022-11-23T01:37:55.4080515Z aten = torch.ops.aten 2022-11-23T01:37:55.4080650Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.4080788Z async_compile = AsyncCompile() 2022-11-23T01:37:55.4080794Z 2022-11-23T01:37:55.4080798Z 2022-11-23T01:37:55.4080941Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.4081147Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.4081264Z extern "C" void kernel(long* __restrict__ in_out_ptr0, 2022-11-23T01:37:55.4081356Z const bool* __restrict__ in_ptr0, 2022-11-23T01:37:55.4081455Z long* __restrict__ out_ptr0) 2022-11-23T01:37:55.4081517Z { 2022-11-23T01:37:55.4081604Z auto out_ptr1 = in_out_ptr0; 2022-11-23T01:37:55.4081705Z { 2022-11-23T01:37:55.4081771Z { 2022-11-23T01:37:55.4081849Z long tmp2 = 0; 2022-11-23T01:37:55.4081910Z long tmp3 = 0; 2022-11-23T01:37:55.4081997Z for(long i0=0; i0<64; i0+=1) 2022-11-23T01:37:55.4082063Z { 2022-11-23T01:37:55.4082127Z { 2022-11-23T01:37:55.4082222Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.4082330Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:37:55.4082395Z tmp2 += tmp1; 2022-11-23T01:37:55.4082472Z tmp3 += tmp1; 2022-11-23T01:37:55.4082540Z } 2022-11-23T01:37:55.4082608Z } 2022-11-23T01:37:55.4082687Z out_ptr0[0] = tmp2; 2022-11-23T01:37:55.4082765Z out_ptr1[0] = tmp3; 2022-11-23T01:37:55.4082830Z } 2022-11-23T01:37:55.4082878Z } 2022-11-23T01:37:55.4082939Z { 2022-11-23T01:37:55.4083002Z { 2022-11-23T01:37:55.4083092Z auto tmp0 = out_ptr0[0]; 2022-11-23T01:37:55.4083176Z auto tmp3 = out_ptr1[0]; 2022-11-23T01:37:55.4083275Z auto tmp1 = static_cast(2); 2022-11-23T01:37:55.4083362Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.4083430Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.4083511Z in_out_ptr0[0] = tmp4; 2022-11-23T01:37:55.4083575Z } 2022-11-23T01:37:55.4083637Z } 2022-11-23T01:37:55.4083699Z } 2022-11-23T01:37:55.4083780Z ''') 2022-11-23T01:37:55.4083785Z 2022-11-23T01:37:55.4083790Z 2022-11-23T01:37:55.4083879Z async_compile.wait(globals()) 2022-11-23T01:37:55.4083940Z del async_compile 2022-11-23T01:37:55.4083946Z 2022-11-23T01:37:55.4084017Z def call(args): 2022-11-23T01:37:55.4084088Z arg0_1, = args 2022-11-23T01:37:55.4084162Z args.clear() 2022-11-23T01:37:55.4084349Z buf0 = empty_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.4084536Z buf1 = empty_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.4084624Z buf2 = buf1; del buf1 # reuse 2022-11-23T01:37:55.4084777Z kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.4084844Z del arg0_1 2022-11-23T01:37:55.4084915Z return (buf2, ) 2022-11-23T01:37:55.4084920Z 2022-11-23T01:37:55.4084924Z 2022-11-23T01:37:55.4085003Z if __name__ == "__main__": 2022-11-23T01:37:55.4085115Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.4085238Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.4085430Z arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:37:55.4085537Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.4085542Z 2022-11-23T01:37:55.4085546Z 2022-11-23T01:37:55.4085627Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.4085695Z import torch 2022-11-23T01:37:55.4085764Z import random 2022-11-23T01:37:55.4085878Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.4085998Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.4086004Z 2022-11-23T01:37:55.4086080Z aten = torch.ops.aten 2022-11-23T01:37:55.4086210Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.4086299Z async_compile = AsyncCompile() 2022-11-23T01:37:55.4086304Z 2022-11-23T01:37:55.4086308Z 2022-11-23T01:37:55.4086459Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.4086670Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.4086785Z extern "C" void kernel(long* __restrict__ in_out_ptr0, 2022-11-23T01:37:55.4086900Z const unsigned char* __restrict__ in_ptr0, 2022-11-23T01:37:55.4086996Z long* __restrict__ out_ptr0) 2022-11-23T01:37:55.4087054Z { 2022-11-23T01:37:55.4087138Z auto out_ptr1 = in_out_ptr0; 2022-11-23T01:37:55.4087187Z { 2022-11-23T01:37:55.4087248Z { 2022-11-23T01:37:55.4087353Z long tmp2 = 0; 2022-11-23T01:37:55.4087426Z long tmp3 = 0; 2022-11-23T01:37:55.4087509Z for(long i0=0; i0<64; i0+=1) 2022-11-23T01:37:55.4087570Z { 2022-11-23T01:37:55.4087633Z { 2022-11-23T01:37:55.4087712Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.4087817Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:37:55.4087893Z tmp2 += tmp1; 2022-11-23T01:37:55.4087971Z tmp3 += tmp1; 2022-11-23T01:37:55.4088033Z } 2022-11-23T01:37:55.4088094Z } 2022-11-23T01:37:55.4088170Z out_ptr0[0] = tmp2; 2022-11-23T01:37:55.4088234Z out_ptr1[0] = tmp3; 2022-11-23T01:37:55.4088294Z } 2022-11-23T01:37:55.4088357Z } 2022-11-23T01:37:55.4088417Z { 2022-11-23T01:37:55.4088479Z { 2022-11-23T01:37:55.4088562Z auto tmp0 = out_ptr0[0]; 2022-11-23T01:37:55.4088630Z auto tmp3 = out_ptr1[0]; 2022-11-23T01:37:55.4088730Z auto tmp1 = static_cast(2); 2022-11-23T01:37:55.4088811Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.4088890Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.4088970Z in_out_ptr0[0] = tmp4; 2022-11-23T01:37:55.4089031Z } 2022-11-23T01:37:55.4089089Z } 2022-11-23T01:37:55.4089136Z } 2022-11-23T01:37:55.4089217Z ''') 2022-11-23T01:37:55.4089222Z 2022-11-23T01:37:55.4089226Z 2022-11-23T01:37:55.4089317Z async_compile.wait(globals()) 2022-11-23T01:37:55.4089387Z del async_compile 2022-11-23T01:37:55.4089392Z 2022-11-23T01:37:55.4089461Z def call(args): 2022-11-23T01:37:55.4089530Z arg0_1, = args 2022-11-23T01:37:55.4089599Z args.clear() 2022-11-23T01:37:55.4089770Z buf0 = empty_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.4089948Z buf1 = empty_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.4090033Z buf2 = buf1; del buf1 # reuse 2022-11-23T01:37:55.4090197Z kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.4090264Z del arg0_1 2022-11-23T01:37:55.4090333Z return (buf2, ) 2022-11-23T01:37:55.4090338Z 2022-11-23T01:37:55.4090343Z 2022-11-23T01:37:55.4090416Z if __name__ == "__main__": 2022-11-23T01:37:55.4090530Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.4090639Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.4090832Z arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.uint8) 2022-11-23T01:37:55.4090939Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.4090944Z 2022-11-23T01:37:55.4090948Z 2022-11-23T01:37:55.4091040Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.4091109Z import torch 2022-11-23T01:37:55.4091179Z import random 2022-11-23T01:37:55.4091294Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.4091411Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.4091418Z 2022-11-23T01:37:55.4091482Z aten = torch.ops.aten 2022-11-23T01:37:55.4091613Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.4091701Z async_compile = AsyncCompile() 2022-11-23T01:37:55.4091706Z 2022-11-23T01:37:55.4091710Z 2022-11-23T01:37:55.4091844Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.4092085Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.4092201Z extern "C" void kernel(long* __restrict__ in_out_ptr0, 2022-11-23T01:37:55.4092304Z const int* __restrict__ in_ptr0, 2022-11-23T01:37:55.4092400Z long* __restrict__ out_ptr0) 2022-11-23T01:37:55.4092448Z { 2022-11-23T01:37:55.4092533Z auto out_ptr1 = in_out_ptr0; 2022-11-23T01:37:55.4092592Z { 2022-11-23T01:37:55.4092653Z { 2022-11-23T01:37:55.4092727Z long tmp2 = 0; 2022-11-23T01:37:55.4092799Z long tmp3 = 0; 2022-11-23T01:37:55.4092931Z for(long i0=0; i0<64; i0+=1) 2022-11-23T01:37:55.4092982Z { 2022-11-23T01:37:55.4093046Z { 2022-11-23T01:37:55.4093137Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.4093241Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:37:55.4093318Z tmp2 += tmp1; 2022-11-23T01:37:55.4093396Z tmp3 += tmp1; 2022-11-23T01:37:55.4093449Z } 2022-11-23T01:37:55.4093509Z } 2022-11-23T01:37:55.4093585Z out_ptr0[0] = tmp2; 2022-11-23T01:37:55.4093660Z out_ptr1[0] = tmp3; 2022-11-23T01:37:55.4093720Z } 2022-11-23T01:37:55.4093781Z } 2022-11-23T01:37:55.4093838Z { 2022-11-23T01:37:55.4093886Z { 2022-11-23T01:37:55.4093972Z auto tmp0 = out_ptr0[0]; 2022-11-23T01:37:55.4094054Z auto tmp3 = out_ptr1[0]; 2022-11-23T01:37:55.4094150Z auto tmp1 = static_cast(2); 2022-11-23T01:37:55.4094236Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.4094317Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.4094397Z in_out_ptr0[0] = tmp4; 2022-11-23T01:37:55.4094446Z } 2022-11-23T01:37:55.4094504Z } 2022-11-23T01:37:55.4094562Z } 2022-11-23T01:37:55.4094641Z ''') 2022-11-23T01:37:55.4094646Z 2022-11-23T01:37:55.4094651Z 2022-11-23T01:37:55.4094742Z async_compile.wait(globals()) 2022-11-23T01:37:55.4094817Z del async_compile 2022-11-23T01:37:55.4094822Z 2022-11-23T01:37:55.4094893Z def call(args): 2022-11-23T01:37:55.4094949Z arg0_1, = args 2022-11-23T01:37:55.4095019Z args.clear() 2022-11-23T01:37:55.4095200Z buf0 = empty_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.4095381Z buf1 = empty_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.4095464Z buf2 = buf1; del buf1 # reuse 2022-11-23T01:37:55.4095624Z kernel_cpp_0(c_void_p(buf2.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.4095694Z del arg0_1 2022-11-23T01:37:55.4095751Z return (buf2, ) 2022-11-23T01:37:55.4095767Z 2022-11-23T01:37:55.4095772Z 2022-11-23T01:37:55.4095835Z if __name__ == "__main__": 2022-11-23T01:37:55.4095945Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.4096067Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.4096263Z arg0_1 = rand_strided((64, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:37:55.4096368Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.4096373Z 2022-11-23T01:37:55.4096437Z ok (4.489s) 2022-11-23T01:37:55.4096756Z test_sum_keepdims_cpu (__main__.CpuTests) ... [2022-11-23 01:35:34,087] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.4097033Z [2022-11-23 01:35:34,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.4097243Z [2022-11-23 01:35:34,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.4097503Z [2022-11-23 01:35:34,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.4097791Z [2022-11-23 01:35:34,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.4098167Z [2022-11-23 01:35:34,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.4098501Z [2022-11-23 01:35:34,087] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.4098597Z 1225 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.4098686Z 2 LOAD_ATTR 1 (sum) 2022-11-23T01:37:55.4098929Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.4099048Z 6 LOAD_FAST 1 (b) 2022-11-23T01:37:55.4099213Z 8 BINARY_ADD 2022-11-23T01:37:55.4099364Z 10 LOAD_CONST 1 (-1) 2022-11-23T01:37:55.4099456Z 12 LOAD_CONST 2 (True) 2022-11-23T01:37:55.4099611Z 14 LOAD_CONST 3 (('keepdim',)) 2022-11-23T01:37:55.4099707Z 16 CALL_FUNCTION_KW 3 2022-11-23T01:37:55.4099800Z 18 BUILD_TUPLE 1 2022-11-23T01:37:55.4099876Z 20 RETURN_VALUE 2022-11-23T01:37:55.4099923Z 2022-11-23T01:37:55.4099928Z 2022-11-23T01:37:55.4100200Z [2022-11-23 01:35:34,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1225 2022-11-23T01:37:55.4100425Z [2022-11-23 01:35:34,087] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.4100795Z [2022-11-23 01:35:34,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TorchVariable()] 2022-11-23T01:37:55.4101119Z [2022-11-23 01:35:34,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:55.4101471Z [2022-11-23 01:35:34,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.4101856Z [2022-11-23 01:35:34,088] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4102203Z [2022-11-23 01:35:34,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.4102591Z [2022-11-23 01:35:34,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4103039Z [2022-11-23 01:35:34,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('keepdim',) [TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(bool)] 2022-11-23T01:37:55.4103514Z [2022-11-23 01:35:34,089] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(bool), ConstantVariable(tuple)] 2022-11-23T01:37:55.4103759Z [2022-11-23 01:35:34,090] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.4103996Z [2022-11-23 01:35:34,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.4104327Z [2022-11-23 01:35:34,091] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.4104576Z [2022-11-23 01:35:34,091] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.4104813Z [2022-11-23 01:35:34,091] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.4105114Z [2022-11-23 01:35:34,092] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.4105369Z [2022-11-23 01:35:34,096] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.4105561Z [2022-11-23 01:35:34,096] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.4105694Z __compiled_fn_394 .3178 opcode, name, target, args, kwargs 2022-11-23T01:37:55.4105784Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.4105858Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.4106037Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.4106318Z call_function, sum_1, , (add, -1), {'keepdim': True} 2022-11-23T01:37:55.4106413Z output, output, output, ((sum_1,),), {} 2022-11-23T01:37:55.4106419Z 2022-11-23T01:37:55.4106699Z [2022-11-23 01:35:34,096] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4106792Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.4106879Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4106960Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.4107051Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.4107126Z 8 RETURN_VALUE 2022-11-23T01:37:55.4107131Z 2022-11-23T01:37:55.4107193Z 2022-11-23T01:37:55.4107471Z [2022-11-23 01:35:34,097] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4107580Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_394) 2022-11-23T01:37:55.4107670Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4107760Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4107824Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.4107913Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4108001Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.4108076Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.4108251Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.4108362Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4108464Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4108540Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4108616Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.4108703Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.4108778Z 26 RETURN_VALUE 2022-11-23T01:37:55.4108786Z 2022-11-23T01:37:55.4108846Z 2022-11-23T01:37:55.4109033Z [2022-11-23 01:35:34,097] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.4109105Z - 2022-11-23T01:37:55.4109215Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.4109279Z { 2022-11-23T01:37:55.4109419Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.4109611Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.4109735Z 'obj_weakref': None 2022-11-23T01:37:55.4109962Z 'guarded_class': 2022-11-23T01:37:55.4110027Z } 2022-11-23T01:37:55.4110078Z 2022-11-23T01:37:55.4110149Z - 2022-11-23T01:37:55.4110275Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.4110338Z { 2022-11-23T01:37:55.4110483Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.4110591Z 'code': None, 2022-11-23T01:37:55.4110808Z 'obj_weakref': 2022-11-23T01:37:55.4111063Z 'guarded_class': 2022-11-23T01:37:55.4111114Z } 2022-11-23T01:37:55.4111176Z 2022-11-23T01:37:55.4111247Z - 2022-11-23T01:37:55.4111408Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.4111471Z { 2022-11-23T01:37:55.4111616Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.4111713Z 'code': None, 2022-11-23T01:37:55.4111925Z 'obj_weakref': 2022-11-23T01:37:55.4112181Z 'guarded_class': 2022-11-23T01:37:55.4112243Z } 2022-11-23T01:37:55.4112305Z 2022-11-23T01:37:55.4112375Z - 2022-11-23T01:37:55.4112542Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.4112592Z { 2022-11-23T01:37:55.4112728Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.4112899Z 'code': ['___check_obj_id(model, 140538913886864)'], 2022-11-23T01:37:55.4113021Z 'obj_weakref': None 2022-11-23T01:37:55.4113256Z 'guarded_class': 2022-11-23T01:37:55.4113322Z } 2022-11-23T01:37:55.4113384Z 2022-11-23T01:37:55.4113442Z - 2022-11-23T01:37:55.4113564Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.4113626Z { 2022-11-23T01:37:55.4113763Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.4113982Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.4114103Z 'obj_weakref': None 2022-11-23T01:37:55.4114324Z 'guarded_class': 2022-11-23T01:37:55.4114389Z } 2022-11-23T01:37:55.4114438Z 2022-11-23T01:37:55.4114507Z - 2022-11-23T01:37:55.4114645Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.4114710Z { 2022-11-23T01:37:55.4114833Z 'guard_types': None, 2022-11-23T01:37:55.4114945Z 'code': None, 2022-11-23T01:37:55.4115052Z 'obj_weakref': None 2022-11-23T01:37:55.4115177Z 'guarded_class': None 2022-11-23T01:37:55.4115242Z } 2022-11-23T01:37:55.4121071Z 2022-11-23T01:37:55.4121382Z [2022-11-23 01:35:34,104] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 386 2022-11-23T01:37:55.4121770Z [2022-11-23 01:35:34,115] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gk/cgk4g6b3hen7ufmxopx2ggxelmg2okjphgbz6lnwjxcj3sasvwjc.py 2022-11-23T01:37:55.4122043Z [2022-11-23 01:35:34,115] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 386 2022-11-23T01:37:55.4122054Z 2022-11-23T01:37:55.4122151Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.4122223Z import torch 2022-11-23T01:37:55.4122292Z import random 2022-11-23T01:37:55.4122408Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.4122530Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.4122536Z 2022-11-23T01:37:55.4122614Z aten = torch.ops.aten 2022-11-23T01:37:55.4122736Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.4122828Z async_compile = AsyncCompile() 2022-11-23T01:37:55.4122835Z 2022-11-23T01:37:55.4122839Z 2022-11-23T01:37:55.4122979Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.4123182Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.4123300Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.4123409Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.4123508Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.4123556Z { 2022-11-23T01:37:55.4123634Z #pragma GCC ivdep 2022-11-23T01:37:55.4123714Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.4123773Z { 2022-11-23T01:37:55.4123836Z { 2022-11-23T01:37:55.4124107Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:37:55.4124189Z float tmp3 = 0; 2022-11-23T01:37:55.4124312Z auto tmp3_vec = at::vec::Vectorized(tmp3); 2022-11-23T01:37:55.4124381Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:37:55.4124444Z { 2022-11-23T01:37:55.4124590Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i0) + (8*i1)); 2022-11-23T01:37:55.4124730Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + (8*i0) + (8*i1)); 2022-11-23T01:37:55.4124860Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.4124941Z tmp3_vec += tmp2; 2022-11-23T01:37:55.4125006Z } 2022-11-23T01:37:55.4125206Z tmp3 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp3_vec); 2022-11-23T01:37:55.4125316Z #pragma omp simd simdlen(4) reduction(+:tmp3) 2022-11-23T01:37:55.4125400Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:37:55.4125462Z { 2022-11-23T01:37:55.4125555Z auto tmp0 = in_ptr0[i1 + (8*i0)]; 2022-11-23T01:37:55.4125650Z auto tmp1 = in_ptr1[i1 + (8*i0)]; 2022-11-23T01:37:55.4125736Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.4125811Z tmp3 += tmp2; 2022-11-23T01:37:55.4125863Z } 2022-11-23T01:37:55.4125939Z out_ptr0[i0] = tmp3; 2022-11-23T01:37:55.4126000Z } 2022-11-23T01:37:55.4126059Z } 2022-11-23T01:37:55.4126120Z } 2022-11-23T01:37:55.4126203Z ''') 2022-11-23T01:37:55.4126208Z 2022-11-23T01:37:55.4126212Z 2022-11-23T01:37:55.4126300Z async_compile.wait(globals()) 2022-11-23T01:37:55.4126360Z del async_compile 2022-11-23T01:37:55.4126365Z 2022-11-23T01:37:55.4126433Z def call(args): 2022-11-23T01:37:55.4126507Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.4126580Z args.clear() 2022-11-23T01:37:55.4126781Z buf0 = empty_strided((8, 1), (1, 8), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4126945Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.4127011Z del arg0_1 2022-11-23T01:37:55.4127065Z del arg1_1 2022-11-23T01:37:55.4127133Z return (buf0, ) 2022-11-23T01:37:55.4127138Z 2022-11-23T01:37:55.4127142Z 2022-11-23T01:37:55.4127215Z if __name__ == "__main__": 2022-11-23T01:37:55.4127326Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.4127448Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.4127650Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4127851Z arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4127965Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.4127970Z 2022-11-23T01:37:55.4128023Z ok (0.034s) 2022-11-23T01:37:55.4128328Z test_tanh_cpu (__main__.CpuTests) ... [2022-11-23 01:35:34,118] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.4128604Z [2022-11-23 01:35:34,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.4128826Z [2022-11-23 01:35:34,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.4129084Z [2022-11-23 01:35:34,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.4129374Z [2022-11-23 01:35:34,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.4129699Z [2022-11-23 01:35:34,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.4130059Z [2022-11-23 01:35:34,119] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.4130156Z 2117 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.4130237Z 2 LOAD_METHOD 1 (tanh) 2022-11-23T01:37:55.4130326Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4130413Z 6 CALL_METHOD 1 2022-11-23T01:37:55.4130499Z 8 LOAD_CONST 1 (2) 2022-11-23T01:37:55.4130572Z 10 BINARY_ADD 2022-11-23T01:37:55.4130666Z 12 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.4130787Z 14 LOAD_METHOD 1 (tanh) 2022-11-23T01:37:55.4130863Z 16 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4130950Z 18 LOAD_CONST 2 (1) 2022-11-23T01:37:55.4131020Z 20 BINARY_ADD 2022-11-23T01:37:55.4131105Z 22 CALL_METHOD 1 2022-11-23T01:37:55.4131195Z 24 BUILD_TUPLE 2 2022-11-23T01:37:55.4131269Z 26 RETURN_VALUE 2022-11-23T01:37:55.4131328Z 2022-11-23T01:37:55.4131333Z 2022-11-23T01:37:55.4131607Z [2022-11-23 01:35:34,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2117 2022-11-23T01:37:55.4131817Z [2022-11-23 01:35:34,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.4132125Z [2022-11-23 01:35:34,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tanh [TorchVariable()] 2022-11-23T01:37:55.4132382Z [2022-11-23 01:35:34,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.tanh)] 2022-11-23T01:37:55.4132673Z [2022-11-23 01:35:34,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(aten.tanh), TensorVariable()] 2022-11-23T01:37:55.4132914Z [2022-11-23 01:35:34,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:37:55.4133200Z [2022-11-23 01:35:34,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4133445Z [2022-11-23 01:35:34,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:55.4133783Z [2022-11-23 01:35:34,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tanh [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.4134068Z [2022-11-23 01:35:34,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(aten.tanh)] 2022-11-23T01:37:55.4134381Z [2022-11-23 01:35:34,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten.tanh), TensorVariable()] 2022-11-23T01:37:55.4134718Z [2022-11-23 01:35:34,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten.tanh), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4135035Z [2022-11-23 01:35:34,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TorchVariable(aten.tanh), TensorVariable()] 2022-11-23T01:37:55.4135303Z [2022-11-23 01:35:34,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4135549Z [2022-11-23 01:35:34,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.4135879Z [2022-11-23 01:35:34,135] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.4136127Z [2022-11-23 01:35:34,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.4136365Z [2022-11-23 01:35:34,135] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.4136651Z [2022-11-23 01:35:34,136] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.4136905Z [2022-11-23 01:35:34,140] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.4137095Z [2022-11-23 01:35:34,140] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.4137219Z __compiled_fn_395 .3184 opcode, name, target, args, kwargs 2022-11-23T01:37:55.4137307Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.4137411Z call_function, tanh, aten.tanh, (ex_0_,), {} 2022-11-23T01:37:55.4137584Z call_function, add, , (tanh, 2), {} 2022-11-23T01:37:55.4137826Z call_function, add_1, , (ex_0_, 1), {} 2022-11-23T01:37:55.4137928Z call_function, tanh_1, aten.tanh, (add_1,), {} 2022-11-23T01:37:55.4138031Z output, output, output, ((add, tanh_1),), {} 2022-11-23T01:37:55.4138036Z 2022-11-23T01:37:55.4138306Z [2022-11-23 01:35:34,140] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4138400Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.4138492Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4138585Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.4138677Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.4138913Z 8 RETURN_VALUE 2022-11-23T01:37:55.4138923Z 2022-11-23T01:37:55.4139024Z 2022-11-23T01:37:55.4139357Z [2022-11-23 01:35:34,140] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4139460Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_395) 2022-11-23T01:37:55.4139550Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4139640Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4139718Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.4139807Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.4139912Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4140015Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4140089Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4140166Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.4140267Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4140357Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.4140433Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.4140520Z 24 BUILD_TUPLE 2 2022-11-23T01:37:55.4140595Z 26 RETURN_VALUE 2022-11-23T01:37:55.4140602Z 2022-11-23T01:37:55.4140662Z 2022-11-23T01:37:55.4140837Z [2022-11-23 01:35:34,141] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.4140911Z - 2022-11-23T01:37:55.4141031Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.4141093Z { 2022-11-23T01:37:55.4141234Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.4141430Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.4141550Z 'obj_weakref': None 2022-11-23T01:37:55.4141764Z 'guarded_class': 2022-11-23T01:37:55.4141828Z } 2022-11-23T01:37:55.4141894Z 2022-11-23T01:37:55.4141965Z - 2022-11-23T01:37:55.4142090Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.4142151Z { 2022-11-23T01:37:55.4142282Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.4142390Z 'code': None, 2022-11-23T01:37:55.4142609Z 'obj_weakref': 2022-11-23T01:37:55.4142867Z 'guarded_class': 2022-11-23T01:37:55.4142927Z } 2022-11-23T01:37:55.4142987Z 2022-11-23T01:37:55.4143057Z - 2022-11-23T01:37:55.4143257Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.4143312Z { 2022-11-23T01:37:55.4143449Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.4143623Z 'code': ['___check_obj_id(model, 140538740706912)'], 2022-11-23T01:37:55.4143746Z 'obj_weakref': None 2022-11-23T01:37:55.4143981Z 'guarded_class': 2022-11-23T01:37:55.4144044Z } 2022-11-23T01:37:55.4144107Z 2022-11-23T01:37:55.4144166Z - 2022-11-23T01:37:55.4144351Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.4144413Z { 2022-11-23T01:37:55.4144552Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.4144771Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.4144894Z 'obj_weakref': None 2022-11-23T01:37:55.4145118Z 'guarded_class': 2022-11-23T01:37:55.4145171Z } 2022-11-23T01:37:55.4145232Z 2022-11-23T01:37:55.4145305Z - 2022-11-23T01:37:55.4145441Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.4145504Z { 2022-11-23T01:37:55.4145626Z 'guard_types': None, 2022-11-23T01:37:55.4145723Z 'code': None, 2022-11-23T01:37:55.4145845Z 'obj_weakref': None 2022-11-23T01:37:55.4145968Z 'guarded_class': None 2022-11-23T01:37:55.4146032Z } 2022-11-23T01:37:55.4146101Z 2022-11-23T01:37:55.4146366Z [2022-11-23 01:35:34,158] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 387 2022-11-23T01:37:55.4146741Z [2022-11-23 01:35:35,692] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/no/cnosc2omppeu2pu5p3oxlp4lfligxv4lzhj5xuzwceebsc7wf6qs.py 2022-11-23T01:37:55.4147083Z [2022-11-23 01:35:35,693] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 387 2022-11-23T01:37:55.4147096Z 2022-11-23T01:37:55.4147184Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.4147253Z import torch 2022-11-23T01:37:55.4147323Z import random 2022-11-23T01:37:55.4147436Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.4147556Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.4147561Z 2022-11-23T01:37:55.4147637Z aten = torch.ops.aten 2022-11-23T01:37:55.4147771Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.4147867Z async_compile = AsyncCompile() 2022-11-23T01:37:55.4147872Z 2022-11-23T01:37:55.4147876Z 2022-11-23T01:37:55.4148001Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.4148313Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.4148444Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.4148551Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.4148649Z float* __restrict__ out_ptr1) 2022-11-23T01:37:55.4148710Z { 2022-11-23T01:37:55.4148791Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:37:55.4148841Z { 2022-11-23T01:37:55.4148979Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.4149186Z auto tmp1 = at::vec::Vectorized(static_cast(-2.0)); 2022-11-23T01:37:55.4149272Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.4149355Z auto tmp3 = tmp2.exp(); 2022-11-23T01:37:55.4149496Z auto tmp4 = at::vec::Vectorized(static_cast(1.0)); 2022-11-23T01:37:55.4149579Z auto tmp5 = tmp3 + tmp4; 2022-11-23T01:37:55.4149670Z auto tmp6 = tmp5.reciprocal(); 2022-11-23T01:37:55.4149788Z auto tmp7 = at::vec::Vectorized(static_cast(2.0)); 2022-11-23T01:37:55.4149869Z auto tmp8 = tmp6 * tmp7; 2022-11-23T01:37:55.4150030Z auto tmp9 = tmp8 - tmp4; 2022-11-23T01:37:55.4150167Z auto tmp10 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:37:55.4150251Z auto tmp11 = tmp9 + tmp10; 2022-11-23T01:37:55.4150380Z auto tmp12 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:55.4150462Z auto tmp13 = tmp0 + tmp12; 2022-11-23T01:37:55.4150532Z auto tmp14 = tmp13 * tmp1; 2022-11-23T01:37:55.4150612Z auto tmp15 = tmp14.exp(); 2022-11-23T01:37:55.4150691Z auto tmp16 = tmp15 + tmp4; 2022-11-23T01:37:55.4150787Z auto tmp17 = tmp16.reciprocal(); 2022-11-23T01:37:55.4150900Z auto tmp18 = tmp17 * tmp7; 2022-11-23T01:37:55.4151026Z auto tmp19 = tmp18 - tmp4; 2022-11-23T01:37:55.4151116Z tmp11.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.4151190Z tmp19.store(out_ptr1 + 8*i0); 2022-11-23T01:37:55.4151252Z } 2022-11-23T01:37:55.4151343Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.4151427Z for(long i0=256; i0<256; i0+=1) 2022-11-23T01:37:55.4151491Z { 2022-11-23T01:37:55.4151571Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.4151721Z auto tmp1 = static_cast(-2.0); 2022-11-23T01:37:55.4151791Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.4151881Z auto tmp3 = std::exp(tmp2); 2022-11-23T01:37:55.4151979Z auto tmp4 = static_cast(1.0); 2022-11-23T01:37:55.4152060Z auto tmp5 = tmp3 + tmp4; 2022-11-23T01:37:55.4152137Z auto tmp6 = 1 / tmp5; 2022-11-23T01:37:55.4152232Z auto tmp7 = static_cast(2.0); 2022-11-23T01:37:55.4152314Z auto tmp8 = tmp6 * tmp7; 2022-11-23T01:37:55.4152421Z auto tmp9 = tmp8 - tmp4; 2022-11-23T01:37:55.4152516Z auto tmp10 = static_cast(2); 2022-11-23T01:37:55.4152600Z auto tmp11 = tmp9 + tmp10; 2022-11-23T01:37:55.4152694Z auto tmp12 = static_cast(1); 2022-11-23T01:37:55.4152774Z auto tmp13 = tmp0 + tmp12; 2022-11-23T01:37:55.4152851Z auto tmp14 = tmp13 * tmp1; 2022-11-23T01:37:55.4152944Z auto tmp15 = std::exp(tmp14); 2022-11-23T01:37:55.4153024Z auto tmp16 = tmp15 + tmp4; 2022-11-23T01:37:55.4153102Z auto tmp17 = 1 / tmp16; 2022-11-23T01:37:55.4153181Z auto tmp18 = tmp17 * tmp7; 2022-11-23T01:37:55.4153289Z auto tmp19 = tmp18 - tmp4; 2022-11-23T01:37:55.4153367Z out_ptr0[i0] = tmp11; 2022-11-23T01:37:55.4153445Z out_ptr1[i0] = tmp19; 2022-11-23T01:37:55.4153504Z } 2022-11-23T01:37:55.4153564Z } 2022-11-23T01:37:55.4153643Z ''') 2022-11-23T01:37:55.4153650Z 2022-11-23T01:37:55.4153657Z 2022-11-23T01:37:55.4153744Z async_compile.wait(globals()) 2022-11-23T01:37:55.4153803Z del async_compile 2022-11-23T01:37:55.4153808Z 2022-11-23T01:37:55.4153875Z def call(args): 2022-11-23T01:37:55.4153942Z arg0_1, = args 2022-11-23T01:37:55.4154011Z args.clear() 2022-11-23T01:37:55.4154214Z buf0 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4154420Z buf1 = empty_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4154584Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:55.4154641Z del arg0_1 2022-11-23T01:37:55.4154717Z return (buf0, buf1, ) 2022-11-23T01:37:55.4154722Z 2022-11-23T01:37:55.4154726Z 2022-11-23T01:37:55.4154800Z if __name__ == "__main__": 2022-11-23T01:37:55.4154915Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.4155037Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.4155241Z arg0_1 = rand_strided((16, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4155350Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.4155355Z 2022-11-23T01:37:55.4155421Z ok (1.580s) 2022-11-23T01:37:55.4155762Z test_tensor1_cpu (__main__.CpuTests) ... [2022-11-23 01:35:35,700] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.4156029Z [2022-11-23 01:35:35,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.4156253Z [2022-11-23 01:35:35,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.4156511Z [2022-11-23 01:35:35,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.4156803Z [2022-11-23 01:35:35,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.4157129Z [2022-11-23 01:35:35,700] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.4157494Z [2022-11-23 01:35:35,701] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.4157596Z 915 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.4157692Z 2 LOAD_ATTR 1 (tensor) 2022-11-23T01:37:55.4157782Z 4 LOAD_CONST 1 (1) 2022-11-23T01:37:55.4157857Z 6 BUILD_LIST 1 2022-11-23T01:37:55.4157948Z 8 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4158037Z 10 LOAD_ATTR 2 (device) 2022-11-23T01:37:55.4158191Z 12 LOAD_CONST 2 (('device',)) 2022-11-23T01:37:55.4158284Z 14 CALL_FUNCTION_KW 2 2022-11-23T01:37:55.4158373Z 16 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4158452Z 18 BINARY_ADD 2022-11-23T01:37:55.4158532Z 20 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.4158622Z 22 LOAD_ATTR 1 (tensor) 2022-11-23T01:37:55.4158627Z 2022-11-23T01:37:55.4158714Z 916 24 LOAD_CONST 3 (5) 2022-11-23T01:37:55.4158803Z 26 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4158896Z 28 LOAD_ATTR 2 (device) 2022-11-23T01:37:55.4159049Z 30 LOAD_CONST 2 (('device',)) 2022-11-23T01:37:55.4159139Z 32 CALL_FUNCTION_KW 2 2022-11-23T01:37:55.4159211Z 34 BUILD_TUPLE 2 2022-11-23T01:37:55.4159287Z 36 RETURN_VALUE 2022-11-23T01:37:55.4159349Z 2022-11-23T01:37:55.4159354Z 2022-11-23T01:37:55.4159625Z [2022-11-23 01:35:35,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:915 2022-11-23T01:37:55.4159851Z [2022-11-23 01:35:35,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.4160230Z [2022-11-23 01:35:35,701] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable()] 2022-11-23T01:37:55.4160566Z [2022-11-23 01:35:35,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable()] 2022-11-23T01:37:55.4160928Z [2022-11-23 01:35:35,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4161278Z [2022-11-23 01:35:35,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(), ListVariable()] 2022-11-23T01:37:55.4161666Z [2022-11-23 01:35:35,702] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:37:55.4162065Z [2022-11-23 01:35:35,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(), ListVariable(), TorchVariable(cpu)] 2022-11-23T01:37:55.4162515Z [2022-11-23 01:35:35,703] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)] 2022-11-23T01:37:55.4162765Z [2022-11-23 01:35:35,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()] 2022-11-23T01:37:55.4163044Z [2022-11-23 01:35:35,704] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4163296Z [2022-11-23 01:35:35,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:37:55.4163731Z [2022-11-23 01:35:35,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.4164003Z [2022-11-23 01:35:35,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:916 2022-11-23T01:37:55.4164359Z [2022-11-23 01:35:35,705] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.4164746Z [2022-11-23 01:35:35,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4165174Z [2022-11-23 01:35:35,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:37:55.4165621Z [2022-11-23 01:35:35,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TorchVariable(), ConstantVariable(int), TorchVariable(cpu)] 2022-11-23T01:37:55.4166098Z [2022-11-23 01:35:35,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TorchVariable(), ConstantVariable(int), TorchVariable(cpu), ConstantVariable(tuple)] 2022-11-23T01:37:55.4166375Z [2022-11-23 01:35:35,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4166624Z [2022-11-23 01:35:35,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.4166941Z [2022-11-23 01:35:35,707] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.4167192Z [2022-11-23 01:35:35,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.4167430Z [2022-11-23 01:35:35,707] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.4167690Z [2022-11-23 01:35:35,708] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.4167948Z [2022-11-23 01:35:35,712] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.4168141Z [2022-11-23 01:35:35,712] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.4168278Z __compiled_fn_396 .3190 opcode, name, target, args, kwargs 2022-11-23T01:37:55.4168371Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.4168630Z call_function, tensor, , ([1],), {'device': device(type='cpu')} 2022-11-23T01:37:55.4168817Z call_function, add, , (tensor, ex_0_), {} 2022-11-23T01:37:55.4169082Z call_function, tensor_1, , (5,), {'device': device(type='cpu')} 2022-11-23T01:37:55.4169187Z output, output, output, ((add, tensor_1),), {} 2022-11-23T01:37:55.4169192Z 2022-11-23T01:37:55.4169498Z [2022-11-23 01:35:35,713] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4169595Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.4169685Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4169779Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.4169870Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.4169933Z 8 RETURN_VALUE 2022-11-23T01:37:55.4169939Z 2022-11-23T01:37:55.4169999Z 2022-11-23T01:37:55.4170275Z [2022-11-23 01:35:35,713] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4170413Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_396) 2022-11-23T01:37:55.4170503Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4170589Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4170665Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.4170742Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.4170842Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4170943Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4171030Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4171105Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.4171206Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4171293Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.4171355Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.4171441Z 24 BUILD_TUPLE 2 2022-11-23T01:37:55.4171516Z 26 RETURN_VALUE 2022-11-23T01:37:55.4171521Z 2022-11-23T01:37:55.4171580Z 2022-11-23T01:37:55.4171764Z [2022-11-23 01:35:35,714] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.4171836Z - 2022-11-23T01:37:55.4171958Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.4172011Z { 2022-11-23T01:37:55.4172155Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.4172344Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.4172465Z 'obj_weakref': None 2022-11-23T01:37:55.4172692Z 'guarded_class': 2022-11-23T01:37:55.4172757Z } 2022-11-23T01:37:55.4172819Z 2022-11-23T01:37:55.4172888Z - 2022-11-23T01:37:55.4173000Z local 'ex[0]' TYPE_MATCH 2022-11-23T01:37:55.4173063Z { 2022-11-23T01:37:55.4173204Z 'guard_types': ['TYPE_MATCH'], 2022-11-23T01:37:55.4173379Z 'code': ['___check_type_id(ex[0], 93851459086816)'], 2022-11-23T01:37:55.4173595Z 'obj_weakref': 2022-11-23T01:37:55.4173852Z 'guarded_class': 2022-11-23T01:37:55.4173917Z } 2022-11-23T01:37:55.4173968Z 2022-11-23T01:37:55.4174040Z - 2022-11-23T01:37:55.4174168Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.4174231Z { 2022-11-23T01:37:55.4174384Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.4174493Z 'code': None, 2022-11-23T01:37:55.4174708Z 'obj_weakref': 2022-11-23T01:37:55.4174949Z 'guarded_class': 2022-11-23T01:37:55.4175014Z } 2022-11-23T01:37:55.4175077Z 2022-11-23T01:37:55.4175148Z - 2022-11-23T01:37:55.4175277Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.4175339Z { 2022-11-23T01:37:55.4175477Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.4175637Z 'code': ['___check_obj_id(model, 140538741712224)'], 2022-11-23T01:37:55.4175790Z 'obj_weakref': None 2022-11-23T01:37:55.4176025Z 'guarded_class': 2022-11-23T01:37:55.4176087Z } 2022-11-23T01:37:55.4176148Z 2022-11-23T01:37:55.4176221Z - 2022-11-23T01:37:55.4176343Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.4176395Z { 2022-11-23T01:37:55.4176531Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.4176754Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.4176978Z 'obj_weakref': None 2022-11-23T01:37:55.4177251Z 'guarded_class': 2022-11-23T01:37:55.4177314Z } 2022-11-23T01:37:55.4177374Z 2022-11-23T01:37:55.4177433Z - 2022-11-23T01:37:55.4177570Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.4177635Z { 2022-11-23T01:37:55.4177760Z 'guard_types': None, 2022-11-23T01:37:55.4177867Z 'code': None, 2022-11-23T01:37:55.4177986Z 'obj_weakref': None 2022-11-23T01:37:55.4178109Z 'guarded_class': None 2022-11-23T01:37:55.4178160Z } 2022-11-23T01:37:55.4178222Z 2022-11-23T01:37:55.4178483Z [2022-11-23 01:35:35,721] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 388 2022-11-23T01:37:55.4179045Z [2022-11-23 01:35:37,089] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fz/cfzexqp3vv5xjjv3jqlpzgmelotnjnx64fzuewtdsp5xolxuyd27.py 2022-11-23T01:37:55.4179372Z [2022-11-23 01:35:37,090] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 388 2022-11-23T01:37:55.4179378Z 2022-11-23T01:37:55.4179474Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.4179542Z import torch 2022-11-23T01:37:55.4179598Z import random 2022-11-23T01:37:55.4179715Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.4179836Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.4179842Z 2022-11-23T01:37:55.4179920Z aten = torch.ops.aten 2022-11-23T01:37:55.4180052Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.4180144Z async_compile = AsyncCompile() 2022-11-23T01:37:55.4180149Z 2022-11-23T01:37:55.4180154Z 2022-11-23T01:37:55.4180290Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.4180496Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.4180606Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.4180707Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.4180805Z long* __restrict__ out_ptr1) 2022-11-23T01:37:55.4180865Z { 2022-11-23T01:37:55.4180942Z #pragma GCC ivdep 2022-11-23T01:37:55.4181027Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.4181088Z { 2022-11-23T01:37:55.4181138Z { 2022-11-23T01:37:55.4181199Z { 2022-11-23T01:37:55.4181288Z auto tmp2 = in_ptr0[i0]; 2022-11-23T01:37:55.4181388Z auto tmp0 = static_cast(1); 2022-11-23T01:37:55.4181492Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:37:55.4181580Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:37:55.4181662Z out_ptr0[i0] = tmp3; 2022-11-23T01:37:55.4181711Z } 2022-11-23T01:37:55.4181772Z } 2022-11-23T01:37:55.4181832Z } 2022-11-23T01:37:55.4181893Z { 2022-11-23T01:37:55.4181953Z { 2022-11-23T01:37:55.4182048Z auto tmp0 = static_cast(5); 2022-11-23T01:37:55.4182125Z out_ptr1[0] = tmp0; 2022-11-23T01:37:55.4182173Z } 2022-11-23T01:37:55.4182232Z } 2022-11-23T01:37:55.4182290Z } 2022-11-23T01:37:55.4182369Z ''') 2022-11-23T01:37:55.4182375Z 2022-11-23T01:37:55.4182379Z 2022-11-23T01:37:55.4182536Z async_compile.wait(globals()) 2022-11-23T01:37:55.4182612Z del async_compile 2022-11-23T01:37:55.4182617Z 2022-11-23T01:37:55.4182687Z def call(args): 2022-11-23T01:37:55.4182744Z arg0_1, = args 2022-11-23T01:37:55.4182815Z args.clear() 2022-11-23T01:37:55.4183016Z buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4183201Z buf1 = empty_strided((), (), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.4183366Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:55.4183478Z del arg0_1 2022-11-23T01:37:55.4183556Z return (buf0, buf1, ) 2022-11-23T01:37:55.4183561Z 2022-11-23T01:37:55.4183565Z 2022-11-23T01:37:55.4183641Z if __name__ == "__main__": 2022-11-23T01:37:55.4183743Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.4183864Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.4184062Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4184167Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.4184171Z 2022-11-23T01:37:55.4184240Z ok (1.396s) 2022-11-23T01:37:55.4184544Z test_tensor2_cpu (__main__.CpuTests) ... [2022-11-23 01:35:37,097] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.4184817Z [2022-11-23 01:35:37,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.4185037Z [2022-11-23 01:35:37,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.4185285Z [2022-11-23 01:35:37,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.4185572Z [2022-11-23 01:35:37,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.4185900Z [2022-11-23 01:35:37,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.4186229Z [2022-11-23 01:35:37,097] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.4186328Z 923 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.4186418Z 2 LOAD_ATTR 1 (tensor) 2022-11-23T01:37:55.4186508Z 4 LOAD_GLOBAL 2 (list) 2022-11-23T01:37:55.4186601Z 6 LOAD_GLOBAL 3 (range) 2022-11-23T01:37:55.4186681Z 8 LOAD_CONST 1 (2) 2022-11-23T01:37:55.4186769Z 10 LOAD_CONST 2 (40) 2022-11-23T01:37:55.4186856Z 12 LOAD_CONST 1 (2) 2022-11-23T01:37:55.4186944Z 14 CALL_FUNCTION 3 2022-11-23T01:37:55.4187031Z 16 CALL_FUNCTION 1 2022-11-23T01:37:55.4187120Z 18 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4187213Z 20 LOAD_ATTR 4 (device) 2022-11-23T01:37:55.4187365Z 22 LOAD_CONST 3 (('device',)) 2022-11-23T01:37:55.4187442Z 24 CALL_FUNCTION_KW 2 2022-11-23T01:37:55.4187529Z 26 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4187603Z 28 BINARY_ADD 2022-11-23T01:37:55.4187680Z 30 RETURN_VALUE 2022-11-23T01:37:55.4187740Z 2022-11-23T01:37:55.4187745Z 2022-11-23T01:37:55.4188013Z [2022-11-23 01:35:37,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:923 2022-11-23T01:37:55.4188324Z [2022-11-23 01:35:37,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.4188694Z [2022-11-23 01:35:37,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable()] 2022-11-23T01:37:55.4189062Z [2022-11-23 01:35:37,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL list [TorchVariable()] 2022-11-23T01:37:55.4189434Z [2022-11-23 01:35:37,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL range [TorchVariable(), BuiltinVariable(list)] 2022-11-23T01:37:55.4189836Z [2022-11-23 01:35:37,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(), BuiltinVariable(list), BuiltinVariable(range)] 2022-11-23T01:37:55.4190323Z [2022-11-23 01:35:37,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 40 [TorchVariable(), BuiltinVariable(list), BuiltinVariable(range), ConstantVariable(int)] 2022-11-23T01:37:55.4190797Z [2022-11-23 01:35:37,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(), BuiltinVariable(list), BuiltinVariable(range), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.4191312Z [2022-11-23 01:35:37,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(), BuiltinVariable(list), BuiltinVariable(range), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.4191704Z [2022-11-23 01:35:37,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), BuiltinVariable(list), RangeVariable()] 2022-11-23T01:37:55.4192050Z [2022-11-23 01:35:37,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(), ListVariable()] 2022-11-23T01:37:55.4192542Z [2022-11-23 01:35:37,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:37:55.4193071Z [2022-11-23 01:35:37,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(), ListVariable(), TorchVariable(cpu)] 2022-11-23T01:37:55.4193509Z [2022-11-23 01:35:37,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)] 2022-11-23T01:37:55.4193752Z [2022-11-23 01:35:37,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable()] 2022-11-23T01:37:55.4194031Z [2022-11-23 01:35:37,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4194279Z [2022-11-23 01:35:37,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.4194598Z [2022-11-23 01:35:37,103] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.4194845Z [2022-11-23 01:35:37,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.4195079Z [2022-11-23 01:35:37,103] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.4195335Z [2022-11-23 01:35:37,104] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.4195591Z [2022-11-23 01:35:37,107] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.4195782Z [2022-11-23 01:35:37,108] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.4195915Z __compiled_fn_397 .3196 opcode, name, target, args, kwargs 2022-11-23T01:37:55.4196004Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.4196379Z call_function, tensor, , ([2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38],), {'device': device(type='cpu')} 2022-11-23T01:37:55.4196555Z call_function, add, , (tensor, ex_0_), {} 2022-11-23T01:37:55.4196651Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.4196657Z 2022-11-23T01:37:55.4196937Z [2022-11-23 01:35:37,108] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4197030Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.4197154Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4197245Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.4197334Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.4197409Z 8 RETURN_VALUE 2022-11-23T01:37:55.4197414Z 2022-11-23T01:37:55.4197461Z 2022-11-23T01:37:55.4197740Z [2022-11-23 01:35:37,108] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4197849Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_397) 2022-11-23T01:37:55.4197936Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4198025Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4198102Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.4198189Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.4198267Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.4198341Z 12 RETURN_VALUE 2022-11-23T01:37:55.4198348Z 2022-11-23T01:37:55.4198405Z 2022-11-23T01:37:55.4198590Z [2022-11-23 01:35:37,109] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.4198662Z - 2022-11-23T01:37:55.4198784Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.4198846Z { 2022-11-23T01:37:55.4198977Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.4199168Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.4199289Z 'obj_weakref': None 2022-11-23T01:37:55.4199515Z 'guarded_class': 2022-11-23T01:37:55.4199579Z } 2022-11-23T01:37:55.4199640Z 2022-11-23T01:37:55.4199710Z - 2022-11-23T01:37:55.4199823Z local 'ex[0]' TYPE_MATCH 2022-11-23T01:37:55.4199884Z { 2022-11-23T01:37:55.4200023Z 'guard_types': ['TYPE_MATCH'], 2022-11-23T01:37:55.4200195Z 'code': ['___check_type_id(ex[0], 93851459086816)'], 2022-11-23T01:37:55.4200414Z 'obj_weakref': 2022-11-23T01:37:55.4200669Z 'guarded_class': 2022-11-23T01:37:55.4200731Z } 2022-11-23T01:37:55.4200792Z 2022-11-23T01:37:55.4200852Z - 2022-11-23T01:37:55.4200976Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.4201036Z { 2022-11-23T01:37:55.4201180Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.4201288Z 'code': None, 2022-11-23T01:37:55.4201502Z 'obj_weakref': 2022-11-23T01:37:55.4201760Z 'guarded_class': 2022-11-23T01:37:55.4201811Z } 2022-11-23T01:37:55.4201872Z 2022-11-23T01:37:55.4201947Z - 2022-11-23T01:37:55.4202080Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.4202142Z { 2022-11-23T01:37:55.4202277Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.4202450Z 'code': ['___check_obj_id(model, 140538740705760)'], 2022-11-23T01:37:55.4202558Z 'obj_weakref': None 2022-11-23T01:37:55.4202819Z 'guarded_class': 2022-11-23T01:37:55.4202888Z } 2022-11-23T01:37:55.4202952Z 2022-11-23T01:37:55.4203026Z - 2022-11-23T01:37:55.4203151Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.4203222Z { 2022-11-23T01:37:55.4203349Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.4203567Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.4203689Z 'obj_weakref': None 2022-11-23T01:37:55.4203945Z 'guarded_class': 2022-11-23T01:37:55.4204008Z } 2022-11-23T01:37:55.4204071Z 2022-11-23T01:37:55.4204143Z - 2022-11-23T01:37:55.4204260Z global 'list' BUILTIN_MATCH 2022-11-23T01:37:55.4204324Z { 2022-11-23T01:37:55.4204451Z 'guard_types': None, 2022-11-23T01:37:55.4204563Z 'code': None, 2022-11-23T01:37:55.4204684Z 'obj_weakref': None 2022-11-23T01:37:55.4204809Z 'guarded_class': None 2022-11-23T01:37:55.4204858Z } 2022-11-23T01:37:55.4204921Z 2022-11-23T01:37:55.4204992Z - 2022-11-23T01:37:55.4205128Z global 'range' BUILTIN_MATCH 2022-11-23T01:37:55.4205190Z { 2022-11-23T01:37:55.4205314Z 'guard_types': None, 2022-11-23T01:37:55.4205424Z 'code': None, 2022-11-23T01:37:55.4205531Z 'obj_weakref': None 2022-11-23T01:37:55.4205657Z 'guarded_class': None 2022-11-23T01:37:55.4205721Z } 2022-11-23T01:37:55.4205786Z 2022-11-23T01:37:55.4205858Z - 2022-11-23T01:37:55.4205994Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.4206057Z { 2022-11-23T01:37:55.4206165Z 'guard_types': None, 2022-11-23T01:37:55.4206276Z 'code': None, 2022-11-23T01:37:55.4206398Z 'obj_weakref': None 2022-11-23T01:37:55.4206521Z 'guarded_class': None 2022-11-23T01:37:55.4206587Z } 2022-11-23T01:37:55.4206649Z 2022-11-23T01:37:55.4206914Z [2022-11-23 01:35:37,115] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 389 2022-11-23T01:37:55.4207278Z [2022-11-23 01:35:38,632] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ed/cediyudzp5t36edqrzg6zym7nqhar3zlfajpkqccq2e5fkviwxlx.py 2022-11-23T01:37:55.4207547Z [2022-11-23 01:35:38,632] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 389 2022-11-23T01:37:55.4207555Z 2022-11-23T01:37:55.4207650Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.4207721Z import torch 2022-11-23T01:37:55.4207790Z import random 2022-11-23T01:37:55.4207905Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.4208029Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.4208034Z 2022-11-23T01:37:55.4208113Z aten = torch.ops.aten 2022-11-23T01:37:55.4208235Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.4208328Z async_compile = AsyncCompile() 2022-11-23T01:37:55.4208490Z constant0 = None # 4ebd4ff1c68a89413a036eaaf84436373c4ec2939ac1d7f84e9908772a109281 2022-11-23T01:37:55.4208496Z 2022-11-23T01:37:55.4208501Z 2022-11-23T01:37:55.4208638Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.4208846Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.4208968Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:37:55.4209073Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.4209175Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.4209223Z { 2022-11-23T01:37:55.4209302Z #pragma GCC ivdep 2022-11-23T01:37:55.4209383Z for(long i0=0; i0<19; i0+=1) 2022-11-23T01:37:55.4209475Z { 2022-11-23T01:37:55.4209538Z { 2022-11-23T01:37:55.4209599Z { 2022-11-23T01:37:55.4209675Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.4209759Z auto tmp2 = in_ptr1[0]; 2022-11-23T01:37:55.4209860Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:37:55.4209948Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:37:55.4210029Z out_ptr0[i0] = tmp3; 2022-11-23T01:37:55.4210089Z } 2022-11-23T01:37:55.4210149Z } 2022-11-23T01:37:55.4210197Z } 2022-11-23T01:37:55.4210284Z } 2022-11-23T01:37:55.4210366Z ''') 2022-11-23T01:37:55.4210371Z 2022-11-23T01:37:55.4210376Z 2022-11-23T01:37:55.4210464Z async_compile.wait(globals()) 2022-11-23T01:37:55.4210534Z del async_compile 2022-11-23T01:37:55.4210539Z 2022-11-23T01:37:55.4210606Z def call(args): 2022-11-23T01:37:55.4210675Z arg0_1, = args 2022-11-23T01:37:55.4210734Z args.clear() 2022-11-23T01:37:55.4210932Z buf0 = empty_strided((19, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4211101Z kernel_cpp_0(c_void_p(constant0.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.4211168Z del arg0_1 2022-11-23T01:37:55.4211238Z return (buf0, ) 2022-11-23T01:37:55.4211242Z 2022-11-23T01:37:55.4211246Z 2022-11-23T01:37:55.4211321Z if __name__ == "__main__": 2022-11-23T01:37:55.4211432Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.4211552Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.4211740Z constant0 = rand_strided((19, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.4211939Z arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4212045Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.4212050Z 2022-11-23T01:37:55.4212116Z ok (1.542s) 2022-11-23T01:37:55.4212427Z test_tensor3_cpu (__main__.CpuTests) ... [2022-11-23 01:35:38,639] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.4212701Z [2022-11-23 01:35:38,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.4212919Z [2022-11-23 01:35:38,639] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.4213174Z [2022-11-23 01:35:38,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.4213464Z [2022-11-23 01:35:38,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.4213779Z [2022-11-23 01:35:38,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.4214108Z [2022-11-23 01:35:38,640] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.4214207Z 930 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.4214297Z 2 LOAD_ATTR 1 (tensor) 2022-11-23T01:37:55.4214383Z 4 BUILD_LIST 0 2022-11-23T01:37:55.4214470Z 6 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4214560Z 8 LOAD_ATTR 2 (device) 2022-11-23T01:37:55.4214712Z 10 LOAD_CONST 1 (('device',)) 2022-11-23T01:37:55.4214790Z 12 CALL_FUNCTION_KW 2 2022-11-23T01:37:55.4214796Z 2022-11-23T01:37:55.4214886Z 931 14 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.4214978Z 16 LOAD_ATTR 1 (tensor) 2022-11-23T01:37:55.4215065Z 18 LOAD_CONST 2 (1) 2022-11-23T01:37:55.4215154Z 20 LOAD_CONST 3 (2) 2022-11-23T01:37:55.4215237Z 22 BUILD_LIST 2 2022-11-23T01:37:55.4215352Z 24 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4215443Z 26 LOAD_ATTR 2 (device) 2022-11-23T01:37:55.4215582Z 28 LOAD_CONST 1 (('device',)) 2022-11-23T01:37:55.4215671Z 30 CALL_FUNCTION_KW 2 2022-11-23T01:37:55.4215757Z 32 LOAD_CONST 2 (1) 2022-11-23T01:37:55.4215830Z 34 BINARY_ADD 2022-11-23T01:37:55.4215835Z 2022-11-23T01:37:55.4215926Z 932 36 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.4216014Z 38 LOAD_ATTR 1 (tensor) 2022-11-23T01:37:55.4216102Z 40 LOAD_CONST 2 (1) 2022-11-23T01:37:55.4216207Z 42 LOAD_CONST 3 (2) 2022-11-23T01:37:55.4216294Z 44 LOAD_CONST 4 (3) 2022-11-23T01:37:55.4216377Z 46 BUILD_LIST 3 2022-11-23T01:37:55.4216461Z 48 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4216553Z 50 LOAD_ATTR 2 (device) 2022-11-23T01:37:55.4216703Z 52 LOAD_CONST 1 (('device',)) 2022-11-23T01:37:55.4216792Z 54 CALL_FUNCTION_KW 2 2022-11-23T01:37:55.4216865Z 56 LOAD_CONST 3 (2) 2022-11-23T01:37:55.4216936Z 58 BINARY_ADD 2022-11-23T01:37:55.4216941Z 2022-11-23T01:37:55.4217032Z 933 60 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.4217119Z 62 LOAD_ATTR 1 (tensor) 2022-11-23T01:37:55.4217204Z 64 LOAD_CONST 2 (1) 2022-11-23T01:37:55.4217288Z 66 LOAD_CONST 3 (2) 2022-11-23T01:37:55.4217376Z 68 LOAD_CONST 4 (3) 2022-11-23T01:37:55.4217460Z 70 LOAD_CONST 5 (4) 2022-11-23T01:37:55.4217533Z 72 BUILD_LIST 4 2022-11-23T01:37:55.4217617Z 74 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4217706Z 76 LOAD_ATTR 2 (device) 2022-11-23T01:37:55.4217859Z 78 LOAD_CONST 1 (('device',)) 2022-11-23T01:37:55.4217947Z 80 CALL_FUNCTION_KW 2 2022-11-23T01:37:55.4218030Z 82 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4218101Z 84 BINARY_ADD 2022-11-23T01:37:55.4218174Z 86 BUILD_TUPLE 4 2022-11-23T01:37:55.4218246Z 88 RETURN_VALUE 2022-11-23T01:37:55.4218307Z 2022-11-23T01:37:55.4218312Z 2022-11-23T01:37:55.4218584Z [2022-11-23 01:35:38,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:930 2022-11-23T01:37:55.4218989Z [2022-11-23 01:35:38,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.4219413Z [2022-11-23 01:35:38,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TorchVariable()] 2022-11-23T01:37:55.4219746Z [2022-11-23 01:35:38,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 0 [TorchVariable()] 2022-11-23T01:37:55.4220097Z [2022-11-23 01:35:38,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(), ListVariable()] 2022-11-23T01:37:55.4220484Z [2022-11-23 01:35:38,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TorchVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:37:55.4220877Z [2022-11-23 01:35:38,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TorchVariable(), ListVariable(), TorchVariable(cpu)] 2022-11-23T01:37:55.4221360Z [2022-11-23 01:35:38,641] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)] 2022-11-23T01:37:55.4221636Z [2022-11-23 01:35:38,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:931 2022-11-23T01:37:55.4221888Z [2022-11-23 01:35:38,642] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:37:55.4222287Z [2022-11-23 01:35:38,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.4222639Z [2022-11-23 01:35:38,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.4223074Z [2022-11-23 01:35:38,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4223505Z [2022-11-23 01:35:38,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.4223882Z [2022-11-23 01:35:38,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TorchVariable(), ListVariable()] 2022-11-23T01:37:55.4224293Z [2022-11-23 01:35:38,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:37:55.4224724Z [2022-11-23 01:35:38,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TorchVariable(), ListVariable(), TorchVariable(cpu)] 2022-11-23T01:37:55.4225194Z [2022-11-23 01:35:38,643] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TorchVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)] 2022-11-23T01:37:55.4225464Z [2022-11-23 01:35:38,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4225774Z [2022-11-23 01:35:38,644] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4226040Z [2022-11-23 01:35:38,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:932 2022-11-23T01:37:55.4226305Z [2022-11-23 01:35:38,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4226733Z [2022-11-23 01:35:38,645] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.4227116Z [2022-11-23 01:35:38,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.4227534Z [2022-11-23 01:35:38,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4227988Z [2022-11-23 01:35:38,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.4228606Z [2022-11-23 01:35:38,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.4229022Z [2022-11-23 01:35:38,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TorchVariable(), ListVariable()] 2022-11-23T01:37:55.4229460Z [2022-11-23 01:35:38,646] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TensorVariable(), TorchVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:37:55.4229918Z [2022-11-23 01:35:38,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TensorVariable(), TorchVariable(), ListVariable(), TorchVariable(cpu)] 2022-11-23T01:37:55.4230448Z [2022-11-23 01:35:38,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TorchVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)] 2022-11-23T01:37:55.4230746Z [2022-11-23 01:35:38,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4231084Z [2022-11-23 01:35:38,647] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4231354Z [2022-11-23 01:35:38,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:933 2022-11-23T01:37:55.4231664Z [2022-11-23 01:35:38,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4232120Z [2022-11-23 01:35:38,648] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR tensor [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.4232518Z [2022-11-23 01:35:38,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.4232963Z [2022-11-23 01:35:38,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4233449Z [2022-11-23 01:35:38,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.4233974Z [2022-11-23 01:35:38,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.4234529Z [2022-11-23 01:35:38,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 4 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.4234963Z [2022-11-23 01:35:38,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), ListVariable()] 2022-11-23T01:37:55.4235436Z [2022-11-23 01:35:38,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), ListVariable(), TensorVariable()] 2022-11-23T01:37:55.4235952Z [2022-11-23 01:35:38,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), ListVariable(), TorchVariable(cpu)] 2022-11-23T01:37:55.4236471Z [2022-11-23 01:35:38,649] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), ListVariable(), TorchVariable(cpu), ConstantVariable(tuple)] 2022-11-23T01:37:55.4236792Z [2022-11-23 01:35:38,650] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4237196Z [2022-11-23 01:35:38,650] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4237526Z [2022-11-23 01:35:38,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4237776Z [2022-11-23 01:35:38,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.4238109Z [2022-11-23 01:35:38,651] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.4238357Z [2022-11-23 01:35:38,651] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.4238597Z [2022-11-23 01:35:38,651] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.4238842Z [2022-11-23 01:35:38,653] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.4239095Z [2022-11-23 01:35:38,659] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.4239286Z [2022-11-23 01:35:38,659] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.4239421Z __compiled_fn_398 .3202 opcode, name, target, args, kwargs 2022-11-23T01:37:55.4239512Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.4239782Z call_function, tensor, , ([],), {'device': device(type='cpu')} 2022-11-23T01:37:55.4240057Z call_function, tensor_1, , ([1, 2],), {'device': device(type='cpu')} 2022-11-23T01:37:55.4240239Z call_function, add, , (tensor_1, 1), {} 2022-11-23T01:37:55.4240522Z call_function, tensor_2, , ([1, 2, 3],), {'device': device(type='cpu')} 2022-11-23T01:37:55.4240690Z call_function, add_1, , (tensor_2, 2), {} 2022-11-23T01:37:55.4240969Z call_function, tensor_3, , ([1, 2, 3, 4],), {'device': device(type='cpu')} 2022-11-23T01:37:55.4241156Z call_function, add_2, , (tensor_3, ex_0_), {} 2022-11-23T01:37:55.4241274Z output, output, output, ((tensor, add, add_1, add_2),), {} 2022-11-23T01:37:55.4241280Z 2022-11-23T01:37:55.4241560Z [2022-11-23 01:35:38,660] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4241656Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.4241745Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4241836Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.4241917Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.4241991Z 8 RETURN_VALUE 2022-11-23T01:37:55.4241996Z 2022-11-23T01:37:55.4242056Z 2022-11-23T01:37:55.4242329Z [2022-11-23 01:35:38,660] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4242502Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_398) 2022-11-23T01:37:55.4242591Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4242679Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4242755Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.4242830Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.4242934Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4243036Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4243125Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4243229Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.4243333Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4243423Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.4243485Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.4243585Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4243675Z 26 LOAD_CONST 3 (2) 2022-11-23T01:37:55.4243751Z 28 BINARY_SUBSCR 2022-11-23T01:37:55.4243852Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4243938Z 32 LOAD_CONST 4 (3) 2022-11-23T01:37:55.4244013Z 34 BINARY_SUBSCR 2022-11-23T01:37:55.4244088Z 36 BUILD_TUPLE 4 2022-11-23T01:37:55.4244163Z 38 RETURN_VALUE 2022-11-23T01:37:55.4244168Z 2022-11-23T01:37:55.4244226Z 2022-11-23T01:37:55.4244412Z [2022-11-23 01:35:38,660] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.4244486Z - 2022-11-23T01:37:55.4244607Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.4244672Z { 2022-11-23T01:37:55.4244802Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.4244991Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.4245112Z 'obj_weakref': None 2022-11-23T01:37:55.4245338Z 'guarded_class': 2022-11-23T01:37:55.4245404Z } 2022-11-23T01:37:55.4245466Z 2022-11-23T01:37:55.4245535Z - 2022-11-23T01:37:55.4245646Z local 'ex[0]' TYPE_MATCH 2022-11-23T01:37:55.4245711Z { 2022-11-23T01:37:55.4245850Z 'guard_types': ['TYPE_MATCH'], 2022-11-23T01:37:55.4246022Z 'code': ['___check_type_id(ex[0], 93851459086816)'], 2022-11-23T01:37:55.4246237Z 'obj_weakref': 2022-11-23T01:37:55.4246496Z 'guarded_class': 2022-11-23T01:37:55.4246561Z } 2022-11-23T01:37:55.4246611Z 2022-11-23T01:37:55.4246679Z - 2022-11-23T01:37:55.4246803Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.4246866Z { 2022-11-23T01:37:55.4247014Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.4247125Z 'code': None, 2022-11-23T01:37:55.4247342Z 'obj_weakref': 2022-11-23T01:37:55.4247619Z 'guarded_class': 2022-11-23T01:37:55.4247716Z } 2022-11-23T01:37:55.4247816Z 2022-11-23T01:37:55.4247894Z - 2022-11-23T01:37:55.4248027Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.4248090Z { 2022-11-23T01:37:55.4248231Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.4248390Z 'code': ['___check_obj_id(model, 140538741325696)'], 2022-11-23T01:37:55.4248510Z 'obj_weakref': None 2022-11-23T01:37:55.4248740Z 'guarded_class': 2022-11-23T01:37:55.4248804Z } 2022-11-23T01:37:55.4248902Z 2022-11-23T01:37:55.4248975Z - 2022-11-23T01:37:55.4249100Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.4249150Z { 2022-11-23T01:37:55.4249288Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.4249508Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.4249627Z 'obj_weakref': None 2022-11-23T01:37:55.4249851Z 'guarded_class': 2022-11-23T01:37:55.4249913Z } 2022-11-23T01:37:55.4250014Z 2022-11-23T01:37:55.4250074Z - 2022-11-23T01:37:55.4250210Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.4250273Z { 2022-11-23T01:37:55.4250396Z 'guard_types': None, 2022-11-23T01:37:55.4250504Z 'code': None, 2022-11-23T01:37:55.4250623Z 'obj_weakref': None 2022-11-23T01:37:55.4250752Z 'guarded_class': None 2022-11-23T01:37:55.4250802Z } 2022-11-23T01:37:55.4250863Z 2022-11-23T01:37:55.4251124Z [2022-11-23 01:35:38,671] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 390 2022-11-23T01:37:55.4251500Z [2022-11-23 01:35:40,066] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/om/comagsbwfv2rrx6s2qhntf6o6vhkobn5bz5rfcg52dbcaic4l63r.py 2022-11-23T01:37:55.4251768Z [2022-11-23 01:35:40,067] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 390 2022-11-23T01:37:55.4251774Z 2022-11-23T01:37:55.4251874Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.4251944Z import torch 2022-11-23T01:37:55.4252015Z import random 2022-11-23T01:37:55.4252116Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.4252237Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.4252243Z 2022-11-23T01:37:55.4252324Z aten = torch.ops.aten 2022-11-23T01:37:55.4252462Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.4252557Z async_compile = AsyncCompile() 2022-11-23T01:37:55.4252562Z 2022-11-23T01:37:55.4252567Z 2022-11-23T01:37:55.4252705Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.4252912Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.4253035Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.4253121Z long* __restrict__ out_ptr0, 2022-11-23T01:37:55.4253217Z long* __restrict__ out_ptr1, 2022-11-23T01:37:55.4253319Z float* __restrict__ out_ptr2) 2022-11-23T01:37:55.4253383Z { 2022-11-23T01:37:55.4253462Z #pragma GCC ivdep 2022-11-23T01:37:55.4253543Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:55.4253605Z { 2022-11-23T01:37:55.4253655Z { 2022-11-23T01:37:55.4253720Z { 2022-11-23T01:37:55.4253823Z auto tmp0 = static_cast(i0); 2022-11-23T01:37:55.4253922Z auto tmp1 = static_cast(1); 2022-11-23T01:37:55.4254012Z auto tmp2 = tmp0 < tmp1; 2022-11-23T01:37:55.4254110Z auto tmp3 = static_cast(2); 2022-11-23T01:37:55.4254207Z auto tmp4 = tmp2 ? tmp1 : tmp3; 2022-11-23T01:37:55.4254283Z auto tmp5 = tmp4 + tmp1; 2022-11-23T01:37:55.4254368Z out_ptr0[i0] = tmp5; 2022-11-23T01:37:55.4254432Z } 2022-11-23T01:37:55.4254497Z } 2022-11-23T01:37:55.4254561Z } 2022-11-23T01:37:55.4254636Z #pragma GCC ivdep 2022-11-23T01:37:55.4254718Z for(long i0=0; i0<3; i0+=1) 2022-11-23T01:37:55.4254766Z { 2022-11-23T01:37:55.4254828Z { 2022-11-23T01:37:55.4254893Z { 2022-11-23T01:37:55.4254994Z auto tmp0 = static_cast(i0); 2022-11-23T01:37:55.4255092Z auto tmp1 = static_cast(1); 2022-11-23T01:37:55.4255213Z auto tmp2 = tmp0 < tmp1; 2022-11-23T01:37:55.4255297Z auto tmp3 = static_cast(2); 2022-11-23T01:37:55.4255386Z auto tmp4 = tmp0 < tmp3; 2022-11-23T01:37:55.4255482Z auto tmp5 = static_cast(3); 2022-11-23T01:37:55.4255578Z auto tmp6 = tmp4 ? tmp3 : tmp5; 2022-11-23T01:37:55.4255674Z auto tmp7 = tmp2 ? tmp1 : tmp6; 2022-11-23T01:37:55.4255761Z auto tmp8 = tmp7 + tmp3; 2022-11-23T01:37:55.4255844Z out_ptr1[i0] = tmp8; 2022-11-23T01:37:55.4255894Z } 2022-11-23T01:37:55.4255957Z } 2022-11-23T01:37:55.4256049Z } 2022-11-23T01:37:55.4256140Z #pragma GCC ivdep 2022-11-23T01:37:55.4256268Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:55.4256368Z { 2022-11-23T01:37:55.4256437Z { 2022-11-23T01:37:55.4256488Z { 2022-11-23T01:37:55.4256577Z auto tmp12 = in_ptr0[i0]; 2022-11-23T01:37:55.4256677Z auto tmp0 = static_cast(i0); 2022-11-23T01:37:55.4256777Z auto tmp1 = static_cast(2); 2022-11-23T01:37:55.4256862Z auto tmp2 = tmp0 < tmp1; 2022-11-23T01:37:55.4256957Z auto tmp3 = static_cast(1); 2022-11-23T01:37:55.4257040Z auto tmp4 = tmp0 < tmp3; 2022-11-23T01:37:55.4257122Z auto tmp5 = tmp4 ? tmp3 : tmp1; 2022-11-23T01:37:55.4257218Z auto tmp6 = static_cast(3); 2022-11-23T01:37:55.4257302Z auto tmp7 = tmp0 < tmp6; 2022-11-23T01:37:55.4257397Z auto tmp8 = static_cast(4); 2022-11-23T01:37:55.4257492Z auto tmp9 = tmp7 ? tmp6 : tmp8; 2022-11-23T01:37:55.4257587Z auto tmp10 = tmp2 ? tmp5 : tmp9; 2022-11-23T01:37:55.4257691Z auto tmp11 = static_cast(tmp10); 2022-11-23T01:37:55.4257770Z auto tmp13 = tmp11 + tmp12; 2022-11-23T01:37:55.4257850Z out_ptr2[i0] = tmp13; 2022-11-23T01:37:55.4257918Z } 2022-11-23T01:37:55.4257980Z } 2022-11-23T01:37:55.4258040Z } 2022-11-23T01:37:55.4258099Z } 2022-11-23T01:37:55.4258187Z ''') 2022-11-23T01:37:55.4258193Z 2022-11-23T01:37:55.4258197Z 2022-11-23T01:37:55.4258274Z async_compile.wait(globals()) 2022-11-23T01:37:55.4258347Z del async_compile 2022-11-23T01:37:55.4258352Z 2022-11-23T01:37:55.4258420Z def call(args): 2022-11-23T01:37:55.4258488Z arg0_1, = args 2022-11-23T01:37:55.4258557Z args.clear() 2022-11-23T01:37:55.4258914Z buf0 = empty_strided((0, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4259192Z buf1 = empty_strided((2, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.4259374Z buf2 = empty_strided((3, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.4259566Z buf3 = empty_strided((4, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4259760Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr())) 2022-11-23T01:37:55.4259829Z del arg0_1 2022-11-23T01:37:55.4259918Z return (buf0, buf1, buf2, buf3, ) 2022-11-23T01:37:55.4259924Z 2022-11-23T01:37:55.4259928Z 2022-11-23T01:37:55.4260003Z if __name__ == "__main__": 2022-11-23T01:37:55.4260116Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.4260239Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.4260421Z arg0_1 = rand_strided((4, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4260530Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.4260538Z 2022-11-23T01:37:55.4260607Z ok (1.435s) 2022-11-23T01:37:55.4260940Z test_tmp_not_defined_issue1_cpu (__main__.CpuTests) ... [2022-11-23 01:35:40,100] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.4261214Z [2022-11-23 01:35:40,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.4261507Z [2022-11-23 01:35:40,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.4261768Z [2022-11-23 01:35:40,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.4262060Z [2022-11-23 01:35:40,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.4262387Z [2022-11-23 01:35:40,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.4262729Z [2022-11-23 01:35:40,101] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.4262857Z 4390 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.4262948Z 2 LOAD_ATTR 1 (ops) 2022-11-23T01:37:55.4263042Z 4 LOAD_ATTR 2 (prims) 2022-11-23T01:37:55.4263134Z 6 LOAD_ATTR 3 (var) 2022-11-23T01:37:55.4263230Z 8 LOAD_ATTR 4 (default) 2022-11-23T01:37:55.4263235Z 2022-11-23T01:37:55.4263354Z 4391 10 LOAD_FAST 3 (convert_element_type_default) 2022-11-23T01:37:55.4263445Z 12 LOAD_CONST 1 (2) 2022-11-23T01:37:55.4263530Z 14 BUILD_LIST 1 2022-11-23T01:37:55.4263607Z 16 LOAD_CONST 2 (0) 2022-11-23T01:37:55.4263770Z 18 LOAD_CONST 3 (('correction',)) 2022-11-23T01:37:55.4263864Z 20 CALL_FUNCTION_KW 3 2022-11-23T01:37:55.4263963Z 22 STORE_FAST 6 (var_default) 2022-11-23T01:37:55.4263968Z 2022-11-23T01:37:55.4264060Z 4393 24 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.4264152Z 26 LOAD_ATTR 1 (ops) 2022-11-23T01:37:55.4264243Z 28 LOAD_ATTR 5 (aten) 2022-11-23T01:37:55.4264318Z 30 LOAD_ATTR 6 (sub) 2022-11-23T01:37:55.4264411Z 32 LOAD_METHOD 7 (Tensor) 2022-11-23T01:37:55.4264512Z 34 LOAD_FAST 2 (add_tensor) 2022-11-23T01:37:55.4264609Z 36 LOAD_FAST 4 (div_default) 2022-11-23T01:37:55.4264696Z 38 CALL_METHOD 2 2022-11-23T01:37:55.4264790Z 40 STORE_FAST 7 (sub_tensor) 2022-11-23T01:37:55.4264795Z 2022-11-23T01:37:55.4264888Z 4394 42 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.4264978Z 44 LOAD_ATTR 1 (ops) 2022-11-23T01:37:55.4265055Z 46 LOAD_ATTR 5 (aten) 2022-11-23T01:37:55.4265141Z 48 LOAD_ATTR 8 (mul) 2022-11-23T01:37:55.4265236Z 50 LOAD_METHOD 7 (Tensor) 2022-11-23T01:37:55.4265335Z 52 LOAD_FAST 7 (sub_tensor) 2022-11-23T01:37:55.4265441Z 54 LOAD_FAST 5 (reciprocal_default) 2022-11-23T01:37:55.4265529Z 56 CALL_METHOD 2 2022-11-23T01:37:55.4265629Z 58 STORE_FAST 8 (mul_tensor_1) 2022-11-23T01:37:55.4265634Z 2022-11-23T01:37:55.4265724Z 4395 60 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.4265800Z 62 LOAD_ATTR 1 (ops) 2022-11-23T01:37:55.4265889Z 64 LOAD_ATTR 5 (aten) 2022-11-23T01:37:55.4265976Z 66 LOAD_ATTR 8 (mul) 2022-11-23T01:37:55.4266071Z 68 LOAD_METHOD 7 (Tensor) 2022-11-23T01:37:55.4266168Z 70 LOAD_FAST 8 (mul_tensor_1) 2022-11-23T01:37:55.4266265Z 72 LOAD_FAST 0 (primals_3) 2022-11-23T01:37:55.4266352Z 74 CALL_METHOD 2 2022-11-23T01:37:55.4266440Z 76 STORE_FAST 9 (mul_tensor_2) 2022-11-23T01:37:55.4266474Z 2022-11-23T01:37:55.4266566Z 4396 78 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.4266654Z 80 LOAD_ATTR 1 (ops) 2022-11-23T01:37:55.4266744Z 82 LOAD_ATTR 5 (aten) 2022-11-23T01:37:55.4266830Z 84 LOAD_ATTR 9 (add) 2022-11-23T01:37:55.4266923Z 86 LOAD_METHOD 7 (Tensor) 2022-11-23T01:37:55.4267018Z 88 LOAD_FAST 9 (mul_tensor_2) 2022-11-23T01:37:55.4267113Z 90 LOAD_FAST 1 (primals_4) 2022-11-23T01:37:55.4267217Z 92 CALL_METHOD 2 2022-11-23T01:37:55.4267316Z 94 STORE_FAST 10 (add_tensor_2) 2022-11-23T01:37:55.4267321Z 2022-11-23T01:37:55.4267411Z 4398 96 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.4267501Z 98 LOAD_ATTR 1 (ops) 2022-11-23T01:37:55.4267593Z 100 LOAD_ATTR 2 (prims) 2022-11-23T01:37:55.4267701Z 102 LOAD_ATTR 10 (convert_element_type) 2022-11-23T01:37:55.4267797Z 104 LOAD_METHOD 4 (default) 2022-11-23T01:37:55.4267802Z 2022-11-23T01:37:55.4267900Z 4399 106 LOAD_FAST 10 (add_tensor_2) 2022-11-23T01:37:55.4267978Z 108 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.4268069Z 110 LOAD_ATTR 11 (float32) 2022-11-23T01:37:55.4268236Z 112 CALL_METHOD 2 2022-11-23T01:37:55.4268365Z 114 STORE_FAST 11 (convert_element_type_default_1) 2022-11-23T01:37:55.4268373Z 2022-11-23T01:37:55.4268463Z 4403 116 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.4268553Z 118 LOAD_ATTR 1 (ops) 2022-11-23T01:37:55.4268643Z 120 LOAD_ATTR 2 (prims) 2022-11-23T01:37:55.4268740Z 122 LOAD_ATTR 10 (convert_element_type) 2022-11-23T01:37:55.4268837Z 124 LOAD_METHOD 4 (default) 2022-11-23T01:37:55.4268843Z 2022-11-23T01:37:55.4268964Z 4404 126 LOAD_FAST 11 (convert_element_type_default_1) 2022-11-23T01:37:55.4269056Z 128 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.4269148Z 130 LOAD_ATTR 11 (float32) 2022-11-23T01:37:55.4269235Z 132 CALL_METHOD 2 2022-11-23T01:37:55.4269356Z 134 STORE_FAST 12 (convert_element_type_default_2) 2022-11-23T01:37:55.4269361Z 2022-11-23T01:37:55.4269453Z 4407 136 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.4269535Z 138 LOAD_ATTR 1 (ops) 2022-11-23T01:37:55.4269626Z 140 LOAD_ATTR 2 (prims) 2022-11-23T01:37:55.4269712Z 142 LOAD_ATTR 3 (var) 2022-11-23T01:37:55.4269805Z 144 LOAD_ATTR 4 (default) 2022-11-23T01:37:55.4269809Z 2022-11-23T01:37:55.4269930Z 4408 146 LOAD_FAST 12 (convert_element_type_default_2) 2022-11-23T01:37:55.4270022Z 148 LOAD_CONST 1 (2) 2022-11-23T01:37:55.4270108Z 150 BUILD_LIST 1 2022-11-23T01:37:55.4270197Z 152 LOAD_CONST 2 (0) 2022-11-23T01:37:55.4270351Z 154 LOAD_CONST 3 (('correction',)) 2022-11-23T01:37:55.4270445Z 156 CALL_FUNCTION_KW 3 2022-11-23T01:37:55.4270549Z 158 STORE_FAST 13 (var_default_1) 2022-11-23T01:37:55.4270554Z 2022-11-23T01:37:55.4270647Z 4410 160 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.4270736Z 162 LOAD_ATTR 1 (ops) 2022-11-23T01:37:55.4270824Z 164 LOAD_ATTR 2 (prims) 2022-11-23T01:37:55.4270930Z 166 LOAD_ATTR 12 (broadcast_in_dim) 2022-11-23T01:37:55.4271056Z 168 LOAD_METHOD 4 (default) 2022-11-23T01:37:55.4271061Z 2022-11-23T01:37:55.4271150Z 4411 170 LOAD_FAST 13 (var_default_1) 2022-11-23T01:37:55.4271238Z 172 LOAD_CONST 4 (1) 2022-11-23T01:37:55.4271328Z 174 LOAD_CONST 5 (512) 2022-11-23T01:37:55.4271415Z 176 LOAD_CONST 4 (1) 2022-11-23T01:37:55.4271501Z 178 BUILD_LIST 3 2022-11-23T01:37:55.4271588Z 180 LOAD_CONST 2 (0) 2022-11-23T01:37:55.4271672Z 182 LOAD_CONST 4 (1) 2022-11-23T01:37:55.4271744Z 184 BUILD_LIST 2 2022-11-23T01:37:55.4271859Z 186 CALL_METHOD 3 2022-11-23T01:37:55.4271978Z 188 STORE_FAST 14 (broadcast_in_dim_default_2) 2022-11-23T01:37:55.4271983Z 2022-11-23T01:37:55.4272073Z 4413 190 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.4272162Z 192 LOAD_ATTR 1 (ops) 2022-11-23T01:37:55.4272254Z 194 LOAD_ATTR 2 (prims) 2022-11-23T01:37:55.4272342Z 196 LOAD_ATTR 13 (sum) 2022-11-23T01:37:55.4272435Z 198 LOAD_METHOD 4 (default) 2022-11-23T01:37:55.4272440Z 2022-11-23T01:37:55.4272545Z 4414 200 LOAD_FAST 12 (convert_element_type_default_2) 2022-11-23T01:37:55.4272633Z 202 LOAD_CONST 1 (2) 2022-11-23T01:37:55.4272717Z 204 BUILD_LIST 1 2022-11-23T01:37:55.4272802Z 206 CALL_METHOD 2 2022-11-23T01:37:55.4272905Z 208 STORE_FAST 15 (sum_default_1) 2022-11-23T01:37:55.4272911Z 2022-11-23T01:37:55.4273000Z 4416 210 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.4273089Z 212 LOAD_ATTR 1 (ops) 2022-11-23T01:37:55.4273178Z 214 LOAD_ATTR 5 (aten) 2022-11-23T01:37:55.4273254Z 216 LOAD_ATTR 9 (add) 2022-11-23T01:37:55.4273347Z 218 LOAD_METHOD 7 (Tensor) 2022-11-23T01:37:55.4273462Z 220 LOAD_FAST 14 (broadcast_in_dim_default_2) 2022-11-23T01:37:55.4273609Z 222 LOAD_CONST 6 (1e-05) 2022-11-23T01:37:55.4273695Z 224 CALL_METHOD 2 2022-11-23T01:37:55.4273795Z 226 STORE_FAST 16 (add_tensor_3) 2022-11-23T01:37:55.4273799Z 2022-11-23T01:37:55.4273897Z 4417 228 LOAD_FAST 6 (var_default) 2022-11-23T01:37:55.4273997Z 230 LOAD_FAST 15 (sum_default_1) 2022-11-23T01:37:55.4274085Z 232 LOAD_FAST 16 (add_tensor_3) 2022-11-23T01:37:55.4274171Z 234 BUILD_TUPLE 3 2022-11-23T01:37:55.4274248Z 236 RETURN_VALUE 2022-11-23T01:37:55.4274309Z 2022-11-23T01:37:55.4274313Z 2022-11-23T01:37:55.4274593Z [2022-11-23 01:35:40,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4390 2022-11-23T01:37:55.4274818Z [2022-11-23 01:35:40,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.4275186Z [2022-11-23 01:35:40,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:37:55.4275484Z [2022-11-23 01:35:40,102] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable()] 2022-11-23T01:37:55.4275781Z [2022-11-23 01:35:40,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TorchVariable()] 2022-11-23T01:37:55.4276049Z [2022-11-23 01:35:40,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.var)] 2022-11-23T01:37:55.4276347Z [2022-11-23 01:35:40,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4391 2022-11-23T01:37:55.4276658Z [2022-11-23 01:35:40,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convert_element_type_default [TorchVariable(prims.var.default)] 2022-11-23T01:37:55.4276954Z [2022-11-23 01:35:40,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(prims.var.default), TensorVariable()] 2022-11-23T01:37:55.4277286Z [2022-11-23 01:35:40,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(prims.var.default), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4277606Z [2022-11-23 01:35:40,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(prims.var.default), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.4278033Z [2022-11-23 01:35:40,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('correction',) [TorchVariable(prims.var.default), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4278446Z [2022-11-23 01:35:40,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(prims.var.default), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(tuple)] 2022-11-23T01:37:55.4278703Z [2022-11-23 01:35:40,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST var_default [TensorVariable()] 2022-11-23T01:37:55.4278973Z [2022-11-23 01:35:40,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4393 2022-11-23T01:37:55.4279180Z [2022-11-23 01:35:40,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.4279544Z [2022-11-23 01:35:40,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:37:55.4279841Z [2022-11-23 01:35:40,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:37:55.4280147Z [2022-11-23 01:35:40,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sub [TorchVariable()] 2022-11-23T01:37:55.4280406Z [2022-11-23 01:35:40,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.sub)] 2022-11-23T01:37:55.4280684Z [2022-11-23 01:35:40,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST add_tensor [TorchVariable(aten.sub.Tensor)] 2022-11-23T01:37:55.4280991Z [2022-11-23 01:35:40,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST div_default [TorchVariable(aten.sub.Tensor), TensorVariable()] 2022-11-23T01:37:55.4281319Z [2022-11-23 01:35:40,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.sub.Tensor), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4281578Z [2022-11-23 01:35:40,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST sub_tensor [TensorVariable()] 2022-11-23T01:37:55.4281848Z [2022-11-23 01:35:40,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4394 2022-11-23T01:37:55.4282055Z [2022-11-23 01:35:40,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.4282422Z [2022-11-23 01:35:40,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:37:55.4282716Z [2022-11-23 01:35:40,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:37:55.4283019Z [2022-11-23 01:35:40,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul [TorchVariable()] 2022-11-23T01:37:55.4283282Z [2022-11-23 01:35:40,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.mul)] 2022-11-23T01:37:55.4283556Z [2022-11-23 01:35:40,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sub_tensor [TorchVariable(aten.mul.Tensor)] 2022-11-23T01:37:55.4283905Z [2022-11-23 01:35:40,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST reciprocal_default [TorchVariable(aten.mul.Tensor), TensorVariable()] 2022-11-23T01:37:55.4284234Z [2022-11-23 01:35:40,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.mul.Tensor), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4284490Z [2022-11-23 01:35:40,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST mul_tensor_1 [TensorVariable()] 2022-11-23T01:37:55.4284758Z [2022-11-23 01:35:40,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4395 2022-11-23T01:37:55.4285012Z [2022-11-23 01:35:40,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.4285364Z [2022-11-23 01:35:40,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:37:55.4285661Z [2022-11-23 01:35:40,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:37:55.4285966Z [2022-11-23 01:35:40,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mul [TorchVariable()] 2022-11-23T01:37:55.4286226Z [2022-11-23 01:35:40,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.mul)] 2022-11-23T01:37:55.4286502Z [2022-11-23 01:35:40,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mul_tensor_1 [TorchVariable(aten.mul.Tensor)] 2022-11-23T01:37:55.4286807Z [2022-11-23 01:35:40,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST primals_3 [TorchVariable(aten.mul.Tensor), TensorVariable()] 2022-11-23T01:37:55.4287131Z [2022-11-23 01:35:40,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.mul.Tensor), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4287386Z [2022-11-23 01:35:40,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST mul_tensor_2 [TensorVariable()] 2022-11-23T01:37:55.4287653Z [2022-11-23 01:35:40,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4396 2022-11-23T01:37:55.4287874Z [2022-11-23 01:35:40,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.4288223Z [2022-11-23 01:35:40,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:37:55.4288517Z [2022-11-23 01:35:40,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:37:55.4288827Z [2022-11-23 01:35:40,139] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable()] 2022-11-23T01:37:55.4289085Z [2022-11-23 01:35:40,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.add)] 2022-11-23T01:37:55.4289361Z [2022-11-23 01:35:40,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST mul_tensor_2 [TorchVariable(aten.add.Tensor)] 2022-11-23T01:37:55.4289664Z [2022-11-23 01:35:40,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST primals_4 [TorchVariable(aten.add.Tensor), TensorVariable()] 2022-11-23T01:37:55.4289988Z [2022-11-23 01:35:40,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.add.Tensor), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4290244Z [2022-11-23 01:35:40,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST add_tensor_2 [TensorVariable()] 2022-11-23T01:37:55.4290516Z [2022-11-23 01:35:40,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4398 2022-11-23T01:37:55.4290737Z [2022-11-23 01:35:40,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.4291117Z [2022-11-23 01:35:40,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:37:55.4291421Z [2022-11-23 01:35:40,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable()] 2022-11-23T01:37:55.4291755Z [2022-11-23 01:35:40,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convert_element_type [TorchVariable()] 2022-11-23T01:37:55.4292047Z [2022-11-23 01:35:40,147] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.convert_element_type)] 2022-11-23T01:37:55.4292348Z [2022-11-23 01:35:40,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4399 2022-11-23T01:37:55.4292656Z [2022-11-23 01:35:40,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST add_tensor_2 [TorchVariable(prims.convert_element_type.default)] 2022-11-23T01:37:55.4292988Z [2022-11-23 01:35:40,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(prims.convert_element_type.default), TensorVariable()] 2022-11-23T01:37:55.4293477Z [2022-11-23 01:35:40,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float32 [TorchVariable(prims.convert_element_type.default), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.4293845Z [2022-11-23 01:35:40,148] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(prims.convert_element_type.default), TensorVariable(), ConstantVariable(dtype)] 2022-11-23T01:37:55.4294132Z [2022-11-23 01:35:40,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST convert_element_type_default_1 [TensorVariable()] 2022-11-23T01:37:55.4294400Z [2022-11-23 01:35:40,149] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4403 2022-11-23T01:37:55.4294621Z [2022-11-23 01:35:40,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.4294972Z [2022-11-23 01:35:40,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:37:55.4295268Z [2022-11-23 01:35:40,150] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable()] 2022-11-23T01:37:55.4295597Z [2022-11-23 01:35:40,155] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR convert_element_type [TorchVariable()] 2022-11-23T01:37:55.4295891Z [2022-11-23 01:35:40,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.convert_element_type)] 2022-11-23T01:37:55.4296158Z [2022-11-23 01:35:40,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4404 2022-11-23T01:37:55.4296496Z [2022-11-23 01:35:40,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convert_element_type_default_1 [TorchVariable(prims.convert_element_type.default)] 2022-11-23T01:37:55.4296830Z [2022-11-23 01:35:40,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable(prims.convert_element_type.default), TensorVariable()] 2022-11-23T01:37:55.4297317Z [2022-11-23 01:35:40,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float32 [TorchVariable(prims.convert_element_type.default), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.4297689Z [2022-11-23 01:35:40,156] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(prims.convert_element_type.default), TensorVariable(), ConstantVariable(dtype)] 2022-11-23T01:37:55.4297977Z [2022-11-23 01:35:40,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST convert_element_type_default_2 [TensorVariable()] 2022-11-23T01:37:55.4298278Z [2022-11-23 01:35:40,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4407 2022-11-23T01:37:55.4298490Z [2022-11-23 01:35:40,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.4299053Z [2022-11-23 01:35:40,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:37:55.4299379Z [2022-11-23 01:35:40,158] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable()] 2022-11-23T01:37:55.4299749Z [2022-11-23 01:35:40,163] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var [TorchVariable()] 2022-11-23T01:37:55.4300017Z [2022-11-23 01:35:40,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.var)] 2022-11-23T01:37:55.4300290Z [2022-11-23 01:35:40,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4408 2022-11-23T01:37:55.4300606Z [2022-11-23 01:35:40,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convert_element_type_default_2 [TorchVariable(prims.var.default)] 2022-11-23T01:37:55.4300904Z [2022-11-23 01:35:40,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(prims.var.default), TensorVariable()] 2022-11-23T01:37:55.4301242Z [2022-11-23 01:35:40,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(prims.var.default), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4301565Z [2022-11-23 01:35:40,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(prims.var.default), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.4301950Z [2022-11-23 01:35:40,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('correction',) [TorchVariable(prims.var.default), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4302365Z [2022-11-23 01:35:40,164] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(prims.var.default), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(tuple)] 2022-11-23T01:37:55.4302615Z [2022-11-23 01:35:40,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST var_default_1 [TensorVariable()] 2022-11-23T01:37:55.4302883Z [2022-11-23 01:35:40,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4410 2022-11-23T01:37:55.4303103Z [2022-11-23 01:35:40,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.4303471Z [2022-11-23 01:35:40,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:37:55.4303769Z [2022-11-23 01:35:40,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable()] 2022-11-23T01:37:55.4304099Z [2022-11-23 01:35:40,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR broadcast_in_dim [TorchVariable()] 2022-11-23T01:37:55.4304383Z [2022-11-23 01:35:40,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.broadcast_in_dim)] 2022-11-23T01:37:55.4304653Z [2022-11-23 01:35:40,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4411 2022-11-23T01:37:55.4304960Z [2022-11-23 01:35:40,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST var_default_1 [TorchVariable(prims.broadcast_in_dim.default)] 2022-11-23T01:37:55.4305280Z [2022-11-23 01:35:40,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable()] 2022-11-23T01:37:55.4305661Z [2022-11-23 01:35:40,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 512 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4306059Z [2022-11-23 01:35:40,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.4306488Z [2022-11-23 01:35:40,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.4306828Z [2022-11-23 01:35:40,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.4307242Z [2022-11-23 01:35:40,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4307667Z [2022-11-23 01:35:40,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.4308041Z [2022-11-23 01:35:40,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(prims.broadcast_in_dim.default), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:55.4308410Z [2022-11-23 01:35:40,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST broadcast_in_dim_default_2 [TensorVariable()] 2022-11-23T01:37:55.4308683Z [2022-11-23 01:35:40,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4413 2022-11-23T01:37:55.4308908Z [2022-11-23 01:35:40,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.4309272Z [2022-11-23 01:35:40,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:37:55.4309575Z [2022-11-23 01:35:40,174] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR prims [TorchVariable()] 2022-11-23T01:37:55.4309886Z [2022-11-23 01:35:40,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TorchVariable()] 2022-11-23T01:37:55.4310136Z [2022-11-23 01:35:40,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR default [TorchVariable(prims.sum)] 2022-11-23T01:37:55.4310406Z [2022-11-23 01:35:40,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4414 2022-11-23T01:37:55.4310726Z [2022-11-23 01:35:40,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST convert_element_type_default_2 [TorchVariable(prims.sum.default)] 2022-11-23T01:37:55.4311029Z [2022-11-23 01:35:40,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(prims.sum.default), TensorVariable()] 2022-11-23T01:37:55.4311367Z [2022-11-23 01:35:40,180] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(prims.sum.default), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4311702Z [2022-11-23 01:35:40,181] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(prims.sum.default), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.4311962Z [2022-11-23 01:35:40,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST sum_default_1 [TensorVariable()] 2022-11-23T01:37:55.4312230Z [2022-11-23 01:35:40,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4416 2022-11-23T01:37:55.4312451Z [2022-11-23 01:35:40,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.4312817Z [2022-11-23 01:35:40,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:37:55.4313135Z [2022-11-23 01:35:40,182] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:37:55.4313448Z [2022-11-23 01:35:40,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR add [TorchVariable()] 2022-11-23T01:37:55.4313706Z [2022-11-23 01:35:40,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR Tensor [TorchVariable(aten.add)] 2022-11-23T01:37:55.4314005Z [2022-11-23 01:35:40,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST broadcast_in_dim_default_2 [TorchVariable(aten.add.Tensor)] 2022-11-23T01:37:55.4314305Z [2022-11-23 01:35:40,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1e-05 [TorchVariable(aten.add.Tensor), TensorVariable()] 2022-11-23T01:37:55.4314676Z [2022-11-23 01:35:40,188] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.add.Tensor), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:37:55.4314933Z [2022-11-23 01:35:40,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST add_tensor_3 [TensorVariable()] 2022-11-23T01:37:55.4315203Z [2022-11-23 01:35:40,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4417 2022-11-23T01:37:55.4315432Z [2022-11-23 01:35:40,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST var_default [] 2022-11-23T01:37:55.4315688Z [2022-11-23 01:35:40,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sum_default_1 [TensorVariable()] 2022-11-23T01:37:55.4315958Z [2022-11-23 01:35:40,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST add_tensor_3 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4316261Z [2022-11-23 01:35:40,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4316509Z [2022-11-23 01:35:40,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.4316854Z [2022-11-23 01:35:40,190] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.4317102Z [2022-11-23 01:35:40,190] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.4317339Z [2022-11-23 01:35:40,190] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.4317597Z [2022-11-23 01:35:40,192] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.4317848Z [2022-11-23 01:35:40,204] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.4318043Z [2022-11-23 01:35:40,205] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.4318177Z __compiled_fn_399 .3208 opcode, name, target, args, kwargs 2022-11-23T01:37:55.4318256Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.4318340Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.4318426Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:37:55.4318509Z placeholder, ex_3_, ex_3_, (), {} 2022-11-23T01:37:55.4318593Z placeholder, ex_4_, ex_4_, (), {} 2022-11-23T01:37:55.4318673Z placeholder, ex_5_, ex_5_, (), {} 2022-11-23T01:37:55.4318886Z call_function, var_default, prims.var.default, (ex_3_, [2]), {'correction': 0} 2022-11-23T01:37:55.4319002Z call_function, sub_tensor, aten.sub.Tensor, (ex_2_, ex_4_), {} 2022-11-23T01:37:55.4319134Z call_function, mul_tensor, aten.mul.Tensor, (sub_tensor, ex_5_), {} 2022-11-23T01:37:55.4319267Z call_function, mul_tensor_1, aten.mul.Tensor, (mul_tensor, ex_0_), {} 2022-11-23T01:37:55.4319402Z call_function, add_tensor, aten.add.Tensor, (mul_tensor_1, ex_1_), {} 2022-11-23T01:37:55.4319591Z call_function, convert_element_type_default, prims.convert_element_type.default, (add_tensor, torch.float32), {} 2022-11-23T01:37:55.4319797Z call_function, convert_element_type_default_1, prims.convert_element_type.default, (convert_element_type_default, torch.float32), {} 2022-11-23T01:37:55.4320088Z call_function, var_default_1, prims.var.default, (convert_element_type_default_1, [2]), {'correction': 0} 2022-11-23T01:37:55.4320268Z call_function, broadcast_in_dim_default, prims.broadcast_in_dim.default, (var_default_1, [1, 512, 1], [0, 1]), {} 2022-11-23T01:37:55.4320415Z call_function, sum_default, prims.sum.default, (convert_element_type_default_1, [2]), {} 2022-11-23T01:37:55.4320638Z call_function, add_tensor_1, aten.add.Tensor, (broadcast_in_dim_default, 1e-05), {} 2022-11-23T01:37:55.4320774Z output, output, output, ((var_default, sum_default, add_tensor_1),), {} 2022-11-23T01:37:55.4320780Z 2022-11-23T01:37:55.4321104Z [2022-11-23 01:35:40,205] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4321198Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.4321286Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4321379Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.4321471Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.4321534Z 8 RETURN_VALUE 2022-11-23T01:37:55.4321551Z 2022-11-23T01:37:55.4321598Z 2022-11-23T01:37:55.4321878Z [2022-11-23 01:35:40,205] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4321986Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_399) 2022-11-23T01:37:55.4322075Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4322165Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4322240Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.4322334Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4322410Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.4322486Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.4322571Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4322656Z 16 LOAD_CONST 3 (2) 2022-11-23T01:37:55.4322735Z 18 BINARY_SUBSCR 2022-11-23T01:37:55.4322819Z 20 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4322902Z 22 LOAD_CONST 4 (3) 2022-11-23T01:37:55.4322965Z 24 BINARY_SUBSCR 2022-11-23T01:37:55.4323049Z 26 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4323133Z 28 LOAD_CONST 5 (4) 2022-11-23T01:37:55.4323207Z 30 BINARY_SUBSCR 2022-11-23T01:37:55.4323290Z 32 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4323373Z 34 LOAD_CONST 6 (5) 2022-11-23T01:37:55.4323449Z 36 BINARY_SUBSCR 2022-11-23T01:37:55.4323525Z 38 CALL_FUNCTION 6 2022-11-23T01:37:55.4323628Z 40 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4323729Z 42 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4323815Z 44 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4323891Z 46 BINARY_SUBSCR 2022-11-23T01:37:55.4323991Z 48 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4324076Z 50 LOAD_CONST 2 (1) 2022-11-23T01:37:55.4324137Z 52 BINARY_SUBSCR 2022-11-23T01:37:55.4324235Z 54 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4324320Z 56 LOAD_CONST 3 (2) 2022-11-23T01:37:55.4324394Z 58 BINARY_SUBSCR 2022-11-23T01:37:55.4324483Z 60 BUILD_TUPLE 3 2022-11-23T01:37:55.4324558Z 62 RETURN_VALUE 2022-11-23T01:37:55.4324566Z 2022-11-23T01:37:55.4324627Z 2022-11-23T01:37:55.4324803Z [2022-11-23 01:35:40,206] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.4324875Z - 2022-11-23T01:37:55.4324997Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.4325061Z { 2022-11-23T01:37:55.4325203Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.4325421Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 6'], 2022-11-23T01:37:55.4325546Z 'obj_weakref': None 2022-11-23T01:37:55.4325774Z 'guarded_class': 2022-11-23T01:37:55.4325826Z } 2022-11-23T01:37:55.4325887Z 2022-11-23T01:37:55.4325958Z - 2022-11-23T01:37:55.4326086Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.4326148Z { 2022-11-23T01:37:55.4326290Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.4326387Z 'code': None, 2022-11-23T01:37:55.4326651Z 'obj_weakref': 2022-11-23T01:37:55.4326909Z 'guarded_class': 2022-11-23T01:37:55.4326974Z } 2022-11-23T01:37:55.4327036Z 2022-11-23T01:37:55.4327105Z - 2022-11-23T01:37:55.4327233Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.4327283Z { 2022-11-23T01:37:55.4327427Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.4327535Z 'code': None, 2022-11-23T01:37:55.4327750Z 'obj_weakref': 2022-11-23T01:37:55.4328004Z 'guarded_class': 2022-11-23T01:37:55.4328067Z } 2022-11-23T01:37:55.4328129Z 2022-11-23T01:37:55.4328187Z - 2022-11-23T01:37:55.4328314Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:37:55.4328377Z { 2022-11-23T01:37:55.4328523Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.4328632Z 'code': None, 2022-11-23T01:37:55.4328845Z 'obj_weakref': 2022-11-23T01:37:55.4329101Z 'guarded_class': 2022-11-23T01:37:55.4329165Z } 2022-11-23T01:37:55.4329214Z 2022-11-23T01:37:55.4329283Z - 2022-11-23T01:37:55.4329406Z local 'ex[3]' TENSOR_MATCH 2022-11-23T01:37:55.4329469Z { 2022-11-23T01:37:55.4329612Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.4329719Z 'code': None, 2022-11-23T01:37:55.4329922Z 'obj_weakref': 2022-11-23T01:37:55.4330173Z 'guarded_class': 2022-11-23T01:37:55.4330240Z } 2022-11-23T01:37:55.4330302Z 2022-11-23T01:37:55.4330372Z - 2022-11-23T01:37:55.4330496Z local 'ex[4]' TENSOR_MATCH 2022-11-23T01:37:55.4330558Z { 2022-11-23T01:37:55.4330691Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.4330802Z 'code': None, 2022-11-23T01:37:55.4331013Z 'obj_weakref': 2022-11-23T01:37:55.4331268Z 'guarded_class': 2022-11-23T01:37:55.4331335Z } 2022-11-23T01:37:55.4331398Z 2022-11-23T01:37:55.4331468Z - 2022-11-23T01:37:55.4331594Z local 'ex[5]' TENSOR_MATCH 2022-11-23T01:37:55.4331644Z { 2022-11-23T01:37:55.4331788Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.4331899Z 'code': None, 2022-11-23T01:37:55.4332109Z 'obj_weakref': 2022-11-23T01:37:55.4332360Z 'guarded_class': 2022-11-23T01:37:55.4332423Z } 2022-11-23T01:37:55.4332522Z 2022-11-23T01:37:55.4332582Z - 2022-11-23T01:37:55.4332714Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.4332776Z { 2022-11-23T01:37:55.4332913Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.4333085Z 'code': ['___check_obj_id(model, 140538913403392)'], 2022-11-23T01:37:55.4333207Z 'obj_weakref': None 2022-11-23T01:37:55.4333441Z 'guarded_class': 2022-11-23T01:37:55.4333493Z } 2022-11-23T01:37:55.4333555Z 2022-11-23T01:37:55.4333663Z - 2022-11-23T01:37:55.4333787Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.4333851Z { 2022-11-23T01:37:55.4333989Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.4334206Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.4334318Z 'obj_weakref': None 2022-11-23T01:37:55.4334540Z 'guarded_class': 2022-11-23T01:37:55.4334605Z } 2022-11-23T01:37:55.4334668Z 2022-11-23T01:37:55.4334737Z - 2022-11-23T01:37:55.4334873Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.4334923Z { 2022-11-23T01:37:55.4335042Z 'guard_types': None, 2022-11-23T01:37:55.4335148Z 'code': None, 2022-11-23T01:37:55.4335269Z 'obj_weakref': None 2022-11-23T01:37:55.4335392Z 'guarded_class': None 2022-11-23T01:37:55.4335458Z } 2022-11-23T01:37:55.4335519Z 2022-11-23T01:37:55.4335576Z - 2022-11-23T01:37:55.4335729Z global 'torch.float32' CONSTANT_MATCH 2022-11-23T01:37:55.4335791Z { 2022-11-23T01:37:55.4335934Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.4336115Z 'code': ["str(torch.float32) == 'torch.float32'"], 2022-11-23T01:37:55.4336234Z 'obj_weakref': None 2022-11-23T01:37:55.4336461Z 'guarded_class': 2022-11-23T01:37:55.4336511Z } 2022-11-23T01:37:55.4336571Z 2022-11-23T01:37:55.4336834Z [2022-11-23 01:35:40,225] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 391 2022-11-23T01:37:55.4336840Z 2022-11-23T01:37:55.4336935Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.4337002Z import torch 2022-11-23T01:37:55.4337070Z import random 2022-11-23T01:37:55.4337187Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.4337307Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.4337312Z 2022-11-23T01:37:55.4337377Z aten = torch.ops.aten 2022-11-23T01:37:55.4337510Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.4337602Z async_compile = AsyncCompile() 2022-11-23T01:37:55.4337609Z 2022-11-23T01:37:55.4337614Z 2022-11-23T01:37:55.4337755Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.4337963Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.4338079Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:37:55.4338181Z float* __restrict__ in_out_ptr1, 2022-11-23T01:37:55.4338286Z const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.4338377Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.4338478Z const float* __restrict__ in_ptr2, 2022-11-23T01:37:55.4338581Z const float* __restrict__ in_ptr3, 2022-11-23T01:37:55.4338681Z const float* __restrict__ in_ptr4, 2022-11-23T01:37:55.4338947Z const float* __restrict__ in_ptr5, 2022-11-23T01:37:55.4339104Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.4339267Z float* __restrict__ out_ptr2, 2022-11-23T01:37:55.4339351Z float* __restrict__ out_ptr3, 2022-11-23T01:37:55.4339444Z float* __restrict__ out_ptr5) 2022-11-23T01:37:55.4339505Z { 2022-11-23T01:37:55.4339593Z auto out_ptr1 = in_out_ptr0; 2022-11-23T01:37:55.4339675Z auto out_ptr4 = in_out_ptr1; 2022-11-23T01:37:55.4339751Z #pragma GCC ivdep 2022-11-23T01:37:55.4339833Z for(long i0=0; i0<512; i0+=1) 2022-11-23T01:37:55.4339881Z { 2022-11-23T01:37:55.4339944Z { 2022-11-23T01:37:55.4340160Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:37:55.4340315Z float tmp1 = 0; 2022-11-23T01:37:55.4340437Z auto tmp1_vec = at::vec::Vectorized(tmp1); 2022-11-23T01:37:55.4340523Z for(long i1=0; i1<128; i1+=1) 2022-11-23T01:37:55.4340588Z { 2022-11-23T01:37:55.4340733Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (1024*i0)); 2022-11-23T01:37:55.4340802Z tmp1_vec += tmp0; 2022-11-23T01:37:55.4340866Z } 2022-11-23T01:37:55.4341063Z tmp1 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp1_vec); 2022-11-23T01:37:55.4341186Z #pragma omp simd simdlen(4) reduction(+:tmp1) 2022-11-23T01:37:55.4341276Z for(long i1=1024; i1<1024; i1+=1) 2022-11-23T01:37:55.4341340Z { 2022-11-23T01:37:55.4341438Z auto tmp0 = in_ptr0[i1 + (1024*i0)]; 2022-11-23T01:37:55.4341503Z tmp1 += tmp0; 2022-11-23T01:37:55.4341566Z } 2022-11-23T01:37:55.4341650Z out_ptr0[i0] = tmp1; 2022-11-23T01:37:55.4341713Z } 2022-11-23T01:37:55.4341776Z } 2022-11-23T01:37:55.4341850Z #pragma GCC ivdep 2022-11-23T01:37:55.4341929Z for(long i0=0; i0<512; i0+=1) 2022-11-23T01:37:55.4341979Z { 2022-11-23T01:37:55.4342041Z { 2022-11-23T01:37:55.4342227Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:37:55.4342302Z float tmp6 = 0; 2022-11-23T01:37:55.4342421Z auto tmp6_vec = at::vec::Vectorized(tmp6); 2022-11-23T01:37:55.4342506Z for(long i1=0; i1<128; i1+=1) 2022-11-23T01:37:55.4342570Z { 2022-11-23T01:37:55.4342699Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (1024*i0)); 2022-11-23T01:37:55.4342825Z auto tmp1 = at::vec::Vectorized(out_ptr0[i0]); 2022-11-23T01:37:55.4342962Z auto tmp2 = at::vec::Vectorized(static_cast(1024)); 2022-11-23T01:37:55.4343050Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:37:55.4343197Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:37:55.4343286Z auto tmp5 = tmp4.pow(2); 2022-11-23T01:37:55.4343368Z tmp6_vec += tmp5; 2022-11-23T01:37:55.4343434Z } 2022-11-23T01:37:55.4343617Z tmp6 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp6_vec); 2022-11-23T01:37:55.4343736Z #pragma omp simd simdlen(4) reduction(+:tmp6) 2022-11-23T01:37:55.4343829Z for(long i1=1024; i1<1024; i1+=1) 2022-11-23T01:37:55.4343896Z { 2022-11-23T01:37:55.4343994Z auto tmp0 = in_ptr0[i1 + (1024*i0)]; 2022-11-23T01:37:55.4344084Z auto tmp1 = out_ptr0[i0]; 2022-11-23T01:37:55.4344192Z auto tmp2 = static_cast(1024); 2022-11-23T01:37:55.4344279Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:37:55.4344400Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:37:55.4344488Z auto tmp5 = tmp4 * tmp4; 2022-11-23T01:37:55.4344565Z tmp6 += tmp5; 2022-11-23T01:37:55.4344631Z } 2022-11-23T01:37:55.4344744Z out_ptr1[i0] = tmp6; 2022-11-23T01:37:55.4344811Z } 2022-11-23T01:37:55.4344862Z } 2022-11-23T01:37:55.4344939Z #pragma GCC ivdep 2022-11-23T01:37:55.4345020Z for(long i0=0; i0<512; i0+=1) 2022-11-23T01:37:55.4345083Z { 2022-11-23T01:37:55.4345147Z { 2022-11-23T01:37:55.4345335Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:37:55.4345414Z float tmp9 = 0; 2022-11-23T01:37:55.4345536Z auto tmp9_vec = at::vec::Vectorized(tmp9); 2022-11-23T01:37:55.4345640Z for(long i1=0; i1<128; i1+=1) 2022-11-23T01:37:55.4345705Z { 2022-11-23T01:37:55.4345847Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr1 + (8*i1) + (1024*i0)); 2022-11-23T01:37:55.4345975Z auto tmp1 = at::vec::Vectorized(in_ptr2[i0]); 2022-11-23T01:37:55.4346102Z auto tmp3 = at::vec::Vectorized(in_ptr3[i0]); 2022-11-23T01:37:55.4346236Z auto tmp5 = at::vec::Vectorized::loadu(in_ptr4 + 8*i1); 2022-11-23T01:37:55.4346371Z auto tmp7 = at::vec::Vectorized::loadu(in_ptr5 + 8*i1); 2022-11-23T01:37:55.4346509Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:37:55.4346585Z auto tmp4 = tmp2 * tmp3; 2022-11-23T01:37:55.4346673Z auto tmp6 = tmp4 * tmp5; 2022-11-23T01:37:55.4346760Z auto tmp8 = tmp6 + tmp7; 2022-11-23T01:37:55.4346865Z tmp8.store(out_ptr2 + (8*i1) + (1024*i0)); 2022-11-23T01:37:55.4346951Z tmp9_vec += tmp8; 2022-11-23T01:37:55.4347018Z } 2022-11-23T01:37:55.4347217Z tmp9 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp9_vec); 2022-11-23T01:37:55.4347322Z #pragma omp simd simdlen(4) reduction(+:tmp9) 2022-11-23T01:37:55.4347416Z for(long i1=1024; i1<1024; i1+=1) 2022-11-23T01:37:55.4347481Z { 2022-11-23T01:37:55.4347577Z auto tmp0 = in_ptr1[i1 + (1024*i0)]; 2022-11-23T01:37:55.4347664Z auto tmp1 = in_ptr2[i0]; 2022-11-23T01:37:55.4347751Z auto tmp3 = in_ptr3[i0]; 2022-11-23T01:37:55.4347838Z auto tmp5 = in_ptr4[i1]; 2022-11-23T01:37:55.4347910Z auto tmp7 = in_ptr5[i1]; 2022-11-23T01:37:55.4348042Z auto tmp2 = tmp0 - tmp1; 2022-11-23T01:37:55.4348210Z auto tmp4 = tmp2 * tmp3; 2022-11-23T01:37:55.4348300Z auto tmp6 = tmp4 * tmp5; 2022-11-23T01:37:55.4348388Z auto tmp8 = tmp6 + tmp7; 2022-11-23T01:37:55.4348482Z out_ptr2[i1 + (1024*i0)] = tmp8; 2022-11-23T01:37:55.4348557Z tmp9 += tmp8; 2022-11-23T01:37:55.4348607Z } 2022-11-23T01:37:55.4348686Z out_ptr3[i0] = tmp9; 2022-11-23T01:37:55.4348749Z } 2022-11-23T01:37:55.4348811Z } 2022-11-23T01:37:55.4348890Z #pragma GCC ivdep 2022-11-23T01:37:55.4348971Z for(long i0=0; i0<512; i0+=1) 2022-11-23T01:37:55.4349031Z { 2022-11-23T01:37:55.4349079Z { 2022-11-23T01:37:55.4349267Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:37:55.4349343Z float tmp6 = 0; 2022-11-23T01:37:55.4349463Z auto tmp6_vec = at::vec::Vectorized(tmp6); 2022-11-23T01:37:55.4349540Z float tmp7 = 0; 2022-11-23T01:37:55.4349657Z auto tmp7_vec = at::vec::Vectorized(tmp7); 2022-11-23T01:37:55.4349747Z for(long i1=0; i1<128; i1+=1) 2022-11-23T01:37:55.4349809Z { 2022-11-23T01:37:55.4349941Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr2 + (8*i1) + (1024*i0)); 2022-11-23T01:37:55.4350066Z auto tmp1 = at::vec::Vectorized(out_ptr3[i0]); 2022-11-23T01:37:55.4350239Z auto tmp2 = at::vec::Vectorized(static_cast(1024)); 2022-11-23T01:37:55.4350329Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:37:55.4350468Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:37:55.4350557Z auto tmp5 = tmp4.pow(2); 2022-11-23T01:37:55.4350635Z tmp6_vec += tmp5; 2022-11-23T01:37:55.4350700Z tmp7_vec += tmp0; 2022-11-23T01:37:55.4350763Z } 2022-11-23T01:37:55.4350956Z tmp6 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp6_vec); 2022-11-23T01:37:55.4351178Z tmp7 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp7_vec); 2022-11-23T01:37:55.4351315Z #pragma omp simd simdlen(4) reduction(+:tmp6) reduction(+:tmp7) 2022-11-23T01:37:55.4351404Z for(long i1=1024; i1<1024; i1+=1) 2022-11-23T01:37:55.4351468Z { 2022-11-23T01:37:55.4351569Z auto tmp0 = out_ptr2[i1 + (1024*i0)]; 2022-11-23T01:37:55.4351656Z auto tmp1 = out_ptr3[i0]; 2022-11-23T01:37:55.4351747Z auto tmp2 = static_cast(1024); 2022-11-23T01:37:55.4351832Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:37:55.4351965Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:37:55.4352050Z auto tmp5 = tmp4 * tmp4; 2022-11-23T01:37:55.4352124Z tmp6 += tmp5; 2022-11-23T01:37:55.4352195Z tmp7 += tmp0; 2022-11-23T01:37:55.4352257Z } 2022-11-23T01:37:55.4352324Z out_ptr4[i0] = tmp6; 2022-11-23T01:37:55.4352403Z out_ptr5[i0] = tmp7; 2022-11-23T01:37:55.4352465Z } 2022-11-23T01:37:55.4352528Z } 2022-11-23T01:37:55.4352603Z for(long i0=0; i0<64; i0+=1) 2022-11-23T01:37:55.4352661Z { 2022-11-23T01:37:55.4352783Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr1 + 8*i0); 2022-11-23T01:37:55.4352921Z auto tmp1 = at::vec::Vectorized(static_cast(1024)); 2022-11-23T01:37:55.4353001Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:55.4353089Z tmp2.store(in_out_ptr0 + 8*i0); 2022-11-23T01:37:55.4353149Z } 2022-11-23T01:37:55.4353233Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.4353312Z for(long i0=512; i0<512; i0+=1) 2022-11-23T01:37:55.4353361Z { 2022-11-23T01:37:55.4353441Z auto tmp0 = out_ptr1[i0]; 2022-11-23T01:37:55.4353538Z auto tmp1 = static_cast(1024); 2022-11-23T01:37:55.4353618Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:55.4353696Z in_out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.4353757Z } 2022-11-23T01:37:55.4353833Z for(long i0=0; i0<64; i0+=1) 2022-11-23T01:37:55.4353880Z { 2022-11-23T01:37:55.4354010Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr4 + 8*i0); 2022-11-23T01:37:55.4354140Z auto tmp1 = at::vec::Vectorized(static_cast(1024)); 2022-11-23T01:37:55.4354222Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:55.4354422Z auto tmp3 = at::vec::Vectorized(static_cast(1e-05)); 2022-11-23T01:37:55.4354503Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.4354592Z tmp4.store(in_out_ptr1 + 8*i0); 2022-11-23T01:37:55.4354651Z } 2022-11-23T01:37:55.4354723Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.4354802Z for(long i0=512; i0<512; i0+=1) 2022-11-23T01:37:55.4354861Z { 2022-11-23T01:37:55.4354943Z auto tmp0 = out_ptr4[i0]; 2022-11-23T01:37:55.4355039Z auto tmp1 = static_cast(1024); 2022-11-23T01:37:55.4355118Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:55.4355256Z auto tmp3 = static_cast(1e-05); 2022-11-23T01:37:55.4355338Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.4355415Z in_out_ptr1[i0] = tmp4; 2022-11-23T01:37:55.4355476Z } 2022-11-23T01:37:55.4355535Z } 2022-11-23T01:37:55.4355613Z ''') 2022-11-23T01:37:55.4355620Z 2022-11-23T01:37:55.4355625Z 2022-11-23T01:37:55.4355742Z async_compile.wait(globals()) 2022-11-23T01:37:55.4355818Z del async_compile 2022-11-23T01:37:55.4355823Z 2022-11-23T01:37:55.4355881Z def call(args): 2022-11-23T01:37:55.4355987Z arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1 = args 2022-11-23T01:37:55.4356058Z args.clear() 2022-11-23T01:37:55.4356270Z buf0 = empty_strided((1, 512, 1), (512, 1, 512), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4356472Z buf1 = empty_strided((1, 512), (512, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4356691Z buf2 = empty_strided((1, 512, 1024), (524288, 1024, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4357023Z buf3 = empty_strided((1, 512, 1), (512, 1, 512), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4357246Z buf4 = empty_strided((1, 512), (512, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4357447Z buf5 = empty_strided((1, 512), (512, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4357536Z buf6 = buf1; del buf1 # reuse 2022-11-23T01:37:55.4357652Z buf7 = as_strided(buf4, (1, 512, 1), (512, 1, 512)); del buf4 # reuse 2022-11-23T01:37:55.4358030Z kernel_cpp_0(c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(arg3_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(arg4_1.data_ptr()), c_void_p(arg5_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf5.data_ptr())) 2022-11-23T01:37:55.4358100Z del arg0_1 2022-11-23T01:37:55.4358166Z del arg1_1 2022-11-23T01:37:55.4358234Z del arg2_1 2022-11-23T01:37:55.4358287Z del arg3_1 2022-11-23T01:37:55.4358352Z del arg4_1 2022-11-23T01:37:55.4358417Z del arg5_1 2022-11-23T01:37:55.4358501Z return (buf6, buf5, buf7, ) 2022-11-23T01:37:55.4358506Z 2022-11-23T01:37:55.4358510Z 2022-11-23T01:37:55.4358584Z if __name__ == "__main__": 2022-11-23T01:37:55.4358698Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.4358823Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.4359027Z arg0_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4359213Z arg1_1 = rand_strided((1024, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4359437Z arg2_1 = rand_strided((1, 512, 1024), (524288, 1024, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4359655Z arg3_1 = rand_strided((1, 512, 1024), (524288, 1024, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4359863Z arg4_1 = rand_strided((1, 512, 1), (512, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4360073Z arg5_1 = rand_strided((1, 512, 1), (512, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4360214Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1])) 2022-11-23T01:37:55.4360589Z [2022-11-23 01:35:41,702] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/g2/cg2544u6bcg2cjxriyagveyde6jofm7vmdczmxbwzekexf4vpra7.py 2022-11-23T01:37:55.4360859Z [2022-11-23 01:35:41,702] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 391 2022-11-23T01:37:55.4360865Z 2022-11-23T01:37:55.4360932Z ok (1.646s) 2022-11-23T01:37:55.4361084Z test_tmp_not_defined_issue2_cpu (__main__.CpuTests) ... skip: TODO: debug this with asan (0.001s) 2022-11-23T01:37:55.4361229Z test_to_device_constant_cpu (__main__.CpuTests) ... skip: requires cuda (0.001s) 2022-11-23T01:37:55.4361362Z test_to_device_cpu (__main__.CpuTests) ... skip: requires cuda (0.001s) 2022-11-23T01:37:55.4361676Z test_to_dtype_cpu (__main__.CpuTests) ... [2022-11-23 01:35:41,723] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.4361948Z [2022-11-23 01:35:41,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.4362212Z [2022-11-23 01:35:41,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.4362475Z [2022-11-23 01:35:41,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.4362764Z [2022-11-23 01:35:41,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.4363092Z [2022-11-23 01:35:41,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.4363411Z [2022-11-23 01:35:41,724] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.4363541Z 1725 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.4363637Z 2 LOAD_ATTR 1 (_to_copy) 2022-11-23T01:37:55.4363727Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.4363818Z 6 LOAD_CONST 1 (6) 2022-11-23T01:37:55.4363972Z 8 LOAD_CONST 2 (('dtype',)) 2022-11-23T01:37:55.4364064Z 10 CALL_FUNCTION_KW 2 2022-11-23T01:37:55.4364069Z 2022-11-23T01:37:55.4364161Z 1726 12 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.4364244Z 14 LOAD_ATTR 1 (_to_copy) 2022-11-23T01:37:55.4364332Z 16 LOAD_FAST 1 (b) 2022-11-23T01:37:55.4364419Z 18 LOAD_CONST 3 (1) 2022-11-23T01:37:55.4364492Z 20 BINARY_ADD 2022-11-23T01:37:55.4364579Z 22 LOAD_CONST 1 (6) 2022-11-23T01:37:55.4364732Z 24 LOAD_CONST 2 (('dtype',)) 2022-11-23T01:37:55.4364825Z 26 CALL_FUNCTION_KW 2 2022-11-23T01:37:55.4364830Z 2022-11-23T01:37:55.4364921Z 1727 28 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.4364999Z 30 LOAD_METHOD 2 (to) 2022-11-23T01:37:55.4365088Z 32 LOAD_FAST 1 (b) 2022-11-23T01:37:55.4365182Z 34 LOAD_GLOBAL 3 (torch) 2022-11-23T01:37:55.4365276Z 36 LOAD_ATTR 4 (float64) 2022-11-23T01:37:55.4365362Z 38 CALL_METHOD 2 2022-11-23T01:37:55.4365367Z 2022-11-23T01:37:55.4365458Z 1728 40 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.4365548Z 42 LOAD_METHOD 2 (to) 2022-11-23T01:37:55.4365622Z 44 LOAD_FAST 1 (b) 2022-11-23T01:37:55.4365713Z 46 LOAD_GLOBAL 3 (torch) 2022-11-23T01:37:55.4365805Z 48 LOAD_ATTR 5 (bool) 2022-11-23T01:37:55.4365891Z 50 CALL_METHOD 2 2022-11-23T01:37:55.4365978Z 52 BUILD_TUPLE 4 2022-11-23T01:37:55.4366054Z 54 RETURN_VALUE 2022-11-23T01:37:55.4366113Z 2022-11-23T01:37:55.4366118Z 2022-11-23T01:37:55.4366396Z [2022-11-23 01:35:41,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1725 2022-11-23T01:37:55.4366604Z [2022-11-23 01:35:41,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.4366917Z [2022-11-23 01:35:41,729] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _to_copy [TorchVariable()] 2022-11-23T01:37:55.4367174Z [2022-11-23 01:35:41,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten._to_copy)] 2022-11-23T01:37:55.4367459Z [2022-11-23 01:35:41,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TorchVariable(aten._to_copy), TensorVariable()] 2022-11-23T01:37:55.4367798Z [2022-11-23 01:35:41,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4368204Z [2022-11-23 01:35:41,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)] 2022-11-23T01:37:55.4368477Z [2022-11-23 01:35:41,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1726 2022-11-23T01:37:55.4368724Z [2022-11-23 01:35:41,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:55.4369064Z [2022-11-23 01:35:41,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR _to_copy [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.4369349Z [2022-11-23 01:35:41,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable(aten._to_copy)] 2022-11-23T01:37:55.4369699Z [2022-11-23 01:35:41,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(aten._to_copy), TensorVariable()] 2022-11-23T01:37:55.4370060Z [2022-11-23 01:35:41,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4370370Z [2022-11-23 01:35:41,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TorchVariable(aten._to_copy), TensorVariable()] 2022-11-23T01:37:55.4370734Z [2022-11-23 01:35:41,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype',) [TensorVariable(), TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4371139Z [2022-11-23 01:35:41,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TorchVariable(aten._to_copy), TensorVariable(), ConstantVariable(int), ConstantVariable(tuple)] 2022-11-23T01:37:55.4371412Z [2022-11-23 01:35:41,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1727 2022-11-23T01:37:55.4371689Z [2022-11-23 01:35:41,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4372048Z [2022-11-23 01:35:41,745] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.4372354Z [2022-11-23 01:35:41,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TorchVariable(aten.to)] 2022-11-23T01:37:55.4372700Z [2022-11-23 01:35:41,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable()] 2022-11-23T01:37:55.4373204Z [2022-11-23 01:35:41,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float64 [TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.4373588Z [2022-11-23 01:35:41,746] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable(), ConstantVariable(dtype)] 2022-11-23T01:37:55.4373856Z [2022-11-23 01:35:41,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1728 2022-11-23T01:37:55.4374146Z [2022-11-23 01:35:41,747] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4374533Z [2022-11-23 01:35:41,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR to [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.4374868Z [2022-11-23 01:35:41,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.to)] 2022-11-23T01:37:55.4375266Z [2022-11-23 01:35:41,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable()] 2022-11-23T01:37:55.4375790Z [2022-11-23 01:35:41,752] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR bool [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.4376201Z [2022-11-23 01:35:41,753] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.to), TensorVariable(), ConstantVariable(dtype)] 2022-11-23T01:37:55.4376528Z [2022-11-23 01:35:41,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4376812Z [2022-11-23 01:35:41,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.4377147Z [2022-11-23 01:35:41,755] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.4377394Z [2022-11-23 01:35:41,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.4377636Z [2022-11-23 01:35:41,755] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.4377892Z [2022-11-23 01:35:41,756] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.4378133Z [2022-11-23 01:35:41,762] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.4378326Z [2022-11-23 01:35:41,762] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.4378461Z __compiled_fn_400 .3214 opcode, name, target, args, kwargs 2022-11-23T01:37:55.4378549Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.4378633Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.4378993Z call_function, _to_copy, aten._to_copy, (ex_0_,), {'dtype': 6} 2022-11-23T01:37:55.4379238Z call_function, add, , (ex_1_, 1), {} 2022-11-23T01:37:55.4379407Z call_function, _to_copy_1, aten._to_copy, (add,), {'dtype': 6} 2022-11-23T01:37:55.4379524Z call_function, to, aten.to, (ex_1_, torch.float64), {} 2022-11-23T01:37:55.4379636Z call_function, to_1, aten.to, (ex_1_, torch.bool), {} 2022-11-23T01:37:55.4379756Z output, output, output, ((_to_copy, _to_copy_1, to, to_1),), {} 2022-11-23T01:37:55.4379762Z 2022-11-23T01:37:55.4380047Z [2022-11-23 01:35:41,763] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4380144Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.4380235Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4380327Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.4380404Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.4380479Z 8 RETURN_VALUE 2022-11-23T01:37:55.4380487Z 2022-11-23T01:37:55.4380549Z 2022-11-23T01:37:55.4380832Z [2022-11-23 01:35:41,763] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4380939Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_400) 2022-11-23T01:37:55.4381028Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4381118Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4381193Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.4381269Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4381354Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.4381429Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.4381517Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.4381620Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4381720Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4381869Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4381933Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.4382035Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4382123Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:55.4382201Z 28 BINARY_SUBSCR 2022-11-23T01:37:55.4382299Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4382386Z 32 LOAD_CONST 3 (2) 2022-11-23T01:37:55.4382462Z 34 BINARY_SUBSCR 2022-11-23T01:37:55.4382550Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4382674Z 38 LOAD_CONST 4 (3) 2022-11-23T01:37:55.4382749Z 40 BINARY_SUBSCR 2022-11-23T01:37:55.4382835Z 42 BUILD_TUPLE 4 2022-11-23T01:37:55.4382910Z 44 RETURN_VALUE 2022-11-23T01:37:55.4382915Z 2022-11-23T01:37:55.4382975Z 2022-11-23T01:37:55.4383168Z [2022-11-23 01:35:41,764] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.4383227Z - 2022-11-23T01:37:55.4383347Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.4383412Z { 2022-11-23T01:37:55.4383556Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.4383746Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.4383872Z 'obj_weakref': None 2022-11-23T01:37:55.4384099Z 'guarded_class': 2022-11-23T01:37:55.4384167Z } 2022-11-23T01:37:55.4384216Z 2022-11-23T01:37:55.4384289Z - 2022-11-23T01:37:55.4384417Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.4384485Z { 2022-11-23T01:37:55.4384634Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.4384746Z 'code': None, 2022-11-23T01:37:55.4384950Z 'obj_weakref': 2022-11-23T01:37:55.4385213Z 'guarded_class': 2022-11-23T01:37:55.4385280Z } 2022-11-23T01:37:55.4385345Z 2022-11-23T01:37:55.4385420Z - 2022-11-23T01:37:55.4385548Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.4385613Z { 2022-11-23T01:37:55.4385744Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.4385855Z 'code': None, 2022-11-23T01:37:55.4386071Z 'obj_weakref': 2022-11-23T01:37:55.4386331Z 'guarded_class': 2022-11-23T01:37:55.4386396Z } 2022-11-23T01:37:55.4386460Z 2022-11-23T01:37:55.4386532Z - 2022-11-23T01:37:55.4386651Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.4386716Z { 2022-11-23T01:37:55.4386854Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.4387028Z 'code': ['___check_obj_id(model, 140538738728112)'], 2022-11-23T01:37:55.4387152Z 'obj_weakref': None 2022-11-23T01:37:55.4387387Z 'guarded_class': 2022-11-23T01:37:55.4387453Z } 2022-11-23T01:37:55.4387519Z 2022-11-23T01:37:55.4387576Z - 2022-11-23T01:37:55.4387700Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.4387765Z { 2022-11-23T01:37:55.4387904Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.4388210Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.4388344Z 'obj_weakref': None 2022-11-23T01:37:55.4388569Z 'guarded_class': 2022-11-23T01:37:55.4388620Z } 2022-11-23T01:37:55.4388718Z 2022-11-23T01:37:55.4388795Z - 2022-11-23T01:37:55.4388930Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.4388993Z { 2022-11-23T01:37:55.4389120Z 'guard_types': None, 2022-11-23T01:37:55.4389216Z 'code': None, 2022-11-23T01:37:55.4389337Z 'obj_weakref': None 2022-11-23T01:37:55.4389463Z 'guarded_class': None 2022-11-23T01:37:55.4389528Z } 2022-11-23T01:37:55.4389592Z 2022-11-23T01:37:55.4389666Z - 2022-11-23T01:37:55.4389802Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.4389883Z { 2022-11-23T01:37:55.4390006Z 'guard_types': None, 2022-11-23T01:37:55.4390116Z 'code': None, 2022-11-23T01:37:55.4390240Z 'obj_weakref': None 2022-11-23T01:37:55.4390364Z 'guarded_class': None 2022-11-23T01:37:55.4390426Z } 2022-11-23T01:37:55.4390489Z 2022-11-23T01:37:55.4390550Z - 2022-11-23T01:37:55.4390698Z global 'torch.bool' CONSTANT_MATCH 2022-11-23T01:37:55.4390763Z { 2022-11-23T01:37:55.4390909Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.4391075Z 'code': ["str(torch.bool) == 'torch.bool'"], 2022-11-23T01:37:55.4391195Z 'obj_weakref': None 2022-11-23T01:37:55.4391421Z 'guarded_class': 2022-11-23T01:37:55.4391473Z } 2022-11-23T01:37:55.4391533Z 2022-11-23T01:37:55.4391603Z - 2022-11-23T01:37:55.4391759Z global 'torch.float64' CONSTANT_MATCH 2022-11-23T01:37:55.4391823Z { 2022-11-23T01:37:55.4391964Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.4392130Z 'code': ["str(torch.float64) == 'torch.float64'"], 2022-11-23T01:37:55.4392250Z 'obj_weakref': None 2022-11-23T01:37:55.4392477Z 'guarded_class': 2022-11-23T01:37:55.4392538Z } 2022-11-23T01:37:55.4392600Z 2022-11-23T01:37:55.4392865Z [2022-11-23 01:35:41,773] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 392 2022-11-23T01:37:55.4393230Z [2022-11-23 01:35:43,162] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/i3/ci34lne225ik6i2gge6nq7n6tk6ofolvkcjwn2myje4pkffpznwm.py 2022-11-23T01:37:55.4393497Z [2022-11-23 01:35:43,163] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 392 2022-11-23T01:37:55.4393505Z 2022-11-23T01:37:55.4393599Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.4393654Z import torch 2022-11-23T01:37:55.4393722Z import random 2022-11-23T01:37:55.4393837Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.4393958Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.4393963Z 2022-11-23T01:37:55.4394041Z aten = torch.ops.aten 2022-11-23T01:37:55.4394173Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.4394266Z async_compile = AsyncCompile() 2022-11-23T01:37:55.4394271Z 2022-11-23T01:37:55.4394275Z 2022-11-23T01:37:55.4394398Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.4394605Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.4394724Z extern "C" void kernel(const double* __restrict__ in_ptr0, 2022-11-23T01:37:55.4394823Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.4394924Z bool* __restrict__ out_ptr1) 2022-11-23T01:37:55.4394984Z { 2022-11-23T01:37:55.4395059Z #pragma GCC ivdep 2022-11-23T01:37:55.4395139Z for(long i0=0; i0<40; i0+=1) 2022-11-23T01:37:55.4395187Z { 2022-11-23T01:37:55.4395250Z { 2022-11-23T01:37:55.4395312Z { 2022-11-23T01:37:55.4395399Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.4395530Z auto tmp1 = static_cast(1); 2022-11-23T01:37:55.4395618Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.4395712Z auto tmp3 = static_cast(tmp2); 2022-11-23T01:37:55.4395812Z auto tmp4 = static_cast(tmp0); 2022-11-23T01:37:55.4395892Z out_ptr0[i0] = tmp3; 2022-11-23T01:37:55.4395970Z out_ptr1[i0] = tmp4; 2022-11-23T01:37:55.4396032Z } 2022-11-23T01:37:55.4396092Z } 2022-11-23T01:37:55.4396154Z } 2022-11-23T01:37:55.4396201Z } 2022-11-23T01:37:55.4396281Z ''') 2022-11-23T01:37:55.4396315Z 2022-11-23T01:37:55.4396319Z 2022-11-23T01:37:55.4396413Z async_compile.wait(globals()) 2022-11-23T01:37:55.4396485Z del async_compile 2022-11-23T01:37:55.4396490Z 2022-11-23T01:37:55.4396557Z def call(args): 2022-11-23T01:37:55.4396632Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.4396702Z args.clear() 2022-11-23T01:37:55.4396902Z buf0 = empty_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4397106Z buf1 = empty_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:37:55.4397271Z kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:55.4397363Z return (arg0_1, buf0, arg1_1, buf1, ) 2022-11-23T01:37:55.4397369Z 2022-11-23T01:37:55.4397373Z 2022-11-23T01:37:55.4397447Z if __name__ == "__main__": 2022-11-23T01:37:55.4397560Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.4397682Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.4397894Z arg0_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4398097Z arg1_1 = rand_strided((2, 2, 10), (20, 10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:37:55.4398199Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.4398204Z 2022-11-23T01:37:55.4398270Z ok (1.448s) 2022-11-23T01:37:55.4398574Z test_topk_cpu (__main__.CpuTests) ... [2022-11-23 01:35:43,170] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.4398848Z [2022-11-23 01:35:43,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.4399071Z [2022-11-23 01:35:43,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.4399328Z [2022-11-23 01:35:43,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.4399618Z [2022-11-23 01:35:43,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.4399949Z [2022-11-23 01:35:43,170] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.4400284Z [2022-11-23 01:35:43,171] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.4400369Z 3100 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.4400461Z 2 LOAD_METHOD 1 (topk) 2022-11-23T01:37:55.4400550Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.4400642Z 6 LOAD_CONST 1 (2) 2022-11-23T01:37:55.4400783Z 8 LOAD_CONST 2 (-1) 2022-11-23T01:37:55.4400874Z 10 CALL_METHOD 3 2022-11-23T01:37:55.4400950Z 12 RETURN_VALUE 2022-11-23T01:37:55.4401000Z 2022-11-23T01:37:55.4401016Z 2022-11-23T01:37:55.4401275Z [2022-11-23 01:35:43,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3100 2022-11-23T01:37:55.4401494Z [2022-11-23 01:35:43,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.4401888Z [2022-11-23 01:35:43,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR topk [TorchVariable()] 2022-11-23T01:37:55.4402213Z [2022-11-23 01:35:43,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:55.4402564Z [2022-11-23 01:35:43,171] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.4402955Z [2022-11-23 01:35:43,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4403418Z [2022-11-23 01:35:43,172] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.4403679Z [2022-11-23 01:35:43,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()] 2022-11-23T01:37:55.4404017Z [2022-11-23 01:35:43,173] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.4404280Z [2022-11-23 01:35:43,173] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [NamedTupleVariable()] 2022-11-23T01:37:55.4404518Z [2022-11-23 01:35:43,174] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.4404768Z [2022-11-23 01:35:43,175] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.4405019Z [2022-11-23 01:35:43,178] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.4405212Z [2022-11-23 01:35:43,178] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.4405348Z __compiled_fn_401 .3220 opcode, name, target, args, kwargs 2022-11-23T01:37:55.4405437Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.4405672Z call_function, topk, , (ex_0_, 2, -1), {} 2022-11-23T01:37:55.4405863Z call_function, getitem, , (topk, 0), {} 2022-11-23T01:37:55.4406056Z call_function, getitem_1, , (topk, 1), {} 2022-11-23T01:37:55.4406156Z output, output, output, ((getitem, getitem_1),), {} 2022-11-23T01:37:55.4406161Z 2022-11-23T01:37:55.4406440Z [2022-11-23 01:35:43,179] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4406536Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.4406627Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4406720Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.4406810Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.4406891Z 8 RETURN_VALUE 2022-11-23T01:37:55.4406896Z 2022-11-23T01:37:55.4406955Z 2022-11-23T01:37:55.4407218Z [2022-11-23 01:35:43,179] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4407327Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_401) 2022-11-23T01:37:55.4407417Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4407506Z 4 LOAD_CONST 2 (0) 2022-11-23T01:37:55.4407582Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.4407670Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.4407774Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4407954Z 12 LOAD_CONST 1 () 2022-11-23T01:37:55.4408060Z 14 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4408148Z 16 LOAD_CONST 2 (0) 2022-11-23T01:37:55.4408260Z 18 BINARY_SUBSCR 2022-11-23T01:37:55.4408363Z 20 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4408452Z 22 LOAD_CONST 3 (1) 2022-11-23T01:37:55.4408527Z 24 BINARY_SUBSCR 2022-11-23T01:37:55.4408603Z 26 BUILD_TUPLE 2 2022-11-23T01:37:55.4408690Z 28 CALL_FUNCTION 1 2022-11-23T01:37:55.4408764Z 30 RETURN_VALUE 2022-11-23T01:37:55.4408769Z 2022-11-23T01:37:55.4408826Z 2022-11-23T01:37:55.4409013Z [2022-11-23 01:35:43,180] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.4409120Z - 2022-11-23T01:37:55.4409243Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.4409306Z { 2022-11-23T01:37:55.4409438Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.4409627Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.4409754Z 'obj_weakref': None 2022-11-23T01:37:55.4409980Z 'guarded_class': 2022-11-23T01:37:55.4410043Z } 2022-11-23T01:37:55.4410105Z 2022-11-23T01:37:55.4410173Z - 2022-11-23T01:37:55.4410287Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.4410352Z { 2022-11-23T01:37:55.4410497Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.4410607Z 'code': None, 2022-11-23T01:37:55.4410822Z 'obj_weakref': 2022-11-23T01:37:55.4411081Z 'guarded_class': 2022-11-23T01:37:55.4411144Z } 2022-11-23T01:37:55.4411195Z 2022-11-23T01:37:55.4411265Z - 2022-11-23T01:37:55.4411397Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.4411460Z { 2022-11-23T01:37:55.4411599Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.4411772Z 'code': ['___check_obj_id(model, 140538740289616)'], 2022-11-23T01:37:55.4411893Z 'obj_weakref': None 2022-11-23T01:37:55.4412112Z 'guarded_class': 2022-11-23T01:37:55.4412178Z } 2022-11-23T01:37:55.4412239Z 2022-11-23T01:37:55.4412308Z - 2022-11-23T01:37:55.4412431Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.4412492Z { 2022-11-23T01:37:55.4412619Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.4412839Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.4412959Z 'obj_weakref': None 2022-11-23T01:37:55.4413180Z 'guarded_class': 2022-11-23T01:37:55.4413247Z } 2022-11-23T01:37:55.4413311Z 2022-11-23T01:37:55.4413381Z - 2022-11-23T01:37:55.4413518Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.4413568Z { 2022-11-23T01:37:55.4413687Z 'guard_types': None, 2022-11-23T01:37:55.4413795Z 'code': None, 2022-11-23T01:37:55.4413914Z 'obj_weakref': None 2022-11-23T01:37:55.4414037Z 'guarded_class': None 2022-11-23T01:37:55.4414098Z } 2022-11-23T01:37:55.4414148Z 2022-11-23T01:37:55.4414405Z [2022-11-23 01:35:43,185] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 393 2022-11-23T01:37:55.4414627Z [2022-11-23 01:35:43,187] torch._inductor.ir: [WARNING] Using FallbackKernel: aten.topk 2022-11-23T01:37:55.4414999Z [2022-11-23 01:35:43,190] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5u/c5udxjcz6iqxkimdsm5mpsirwkjk6dcqkkildk56ltptyiv6ac5n.py 2022-11-23T01:37:55.4415295Z [2022-11-23 01:35:43,190] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 393 2022-11-23T01:37:55.4415302Z 2022-11-23T01:37:55.4415396Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.4415464Z import torch 2022-11-23T01:37:55.4415534Z import random 2022-11-23T01:37:55.4415637Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.4415756Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.4415761Z 2022-11-23T01:37:55.4415838Z aten = torch.ops.aten 2022-11-23T01:37:55.4415970Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.4416062Z async_compile = AsyncCompile() 2022-11-23T01:37:55.4416110Z 2022-11-23T01:37:55.4416115Z 2022-11-23T01:37:55.4416203Z async_compile.wait(globals()) 2022-11-23T01:37:55.4416273Z del async_compile 2022-11-23T01:37:55.4416278Z 2022-11-23T01:37:55.4416346Z def call(args): 2022-11-23T01:37:55.4416403Z arg0_1, = args 2022-11-23T01:37:55.4416472Z args.clear() 2022-11-23T01:37:55.4416557Z buf0 = aten.topk(arg0_1, 2) 2022-11-23T01:37:55.4416623Z del arg0_1 2022-11-23T01:37:55.4416690Z buf1 = buf0[0] 2022-11-23T01:37:55.4416795Z assert_size_stride(buf1, (1, 1, 8, 2), (16, 16, 2, 1)) 2022-11-23T01:37:55.4416863Z buf2 = buf0[1] 2022-11-23T01:37:55.4416954Z assert_size_stride(buf2, (1, 1, 8, 2), (16, 16, 2, 1)) 2022-11-23T01:37:55.4417018Z del buf0 2022-11-23T01:37:55.4417096Z return (buf1, buf2, ) 2022-11-23T01:37:55.4417101Z 2022-11-23T01:37:55.4417105Z 2022-11-23T01:37:55.4417178Z if __name__ == "__main__": 2022-11-23T01:37:55.4417289Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.4417412Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.4417631Z arg0_1 = rand_strided((1, 1, 8, 8), (64, 64, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4417741Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.4417746Z 2022-11-23T01:37:55.4417799Z ok (0.025s) 2022-11-23T01:37:55.4418121Z test_transpose_add_cpu (__main__.CpuTests) ... [2022-11-23 01:35:43,194] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.4418394Z [2022-11-23 01:35:43,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.4418615Z [2022-11-23 01:35:43,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.4419082Z [2022-11-23 01:35:43,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.4419406Z [2022-11-23 01:35:43,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.4419738Z [2022-11-23 01:35:43,194] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.4420070Z [2022-11-23 01:35:43,194] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.4420167Z 2336 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.4420246Z 2 LOAD_METHOD 0 (t) 2022-11-23T01:37:55.4420336Z 4 CALL_METHOD 0 2022-11-23T01:37:55.4420425Z 6 LOAD_FAST 1 (b) 2022-11-23T01:37:55.4420504Z 8 BINARY_ADD 2022-11-23T01:37:55.4420580Z 10 RETURN_VALUE 2022-11-23T01:37:55.4420641Z 2022-11-23T01:37:55.4420646Z 2022-11-23T01:37:55.4420918Z [2022-11-23 01:35:43,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2336 2022-11-23T01:37:55.4421136Z [2022-11-23 01:35:43,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.4421365Z [2022-11-23 01:35:43,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR t [TensorVariable()] 2022-11-23T01:37:55.4421712Z [2022-11-23 01:35:43,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 0 [GetAttrVariable(TensorVariable(), t)] 2022-11-23T01:37:55.4421955Z [2022-11-23 01:35:43,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.4422231Z [2022-11-23 01:35:43,196] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4422482Z [2022-11-23 01:35:43,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.4422814Z [2022-11-23 01:35:43,197] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.4423104Z [2022-11-23 01:35:43,197] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.4423343Z [2022-11-23 01:35:43,197] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.4423600Z [2022-11-23 01:35:43,198] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.4423841Z [2022-11-23 01:35:43,201] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.4424035Z [2022-11-23 01:35:43,201] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.4424170Z __compiled_fn_402 .3226 opcode, name, target, args, kwargs 2022-11-23T01:37:55.4424261Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.4424349Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.4424431Z call_method, t, t, (ex_0_,), {} 2022-11-23T01:37:55.4424612Z call_function, add, , (t, ex_1_), {} 2022-11-23T01:37:55.4424708Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.4424714Z 2022-11-23T01:37:55.4424979Z [2022-11-23 01:35:43,201] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4425074Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.4425166Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4425259Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.4425349Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.4425427Z 8 RETURN_VALUE 2022-11-23T01:37:55.4425432Z 2022-11-23T01:37:55.4425493Z 2022-11-23T01:37:55.4425773Z [2022-11-23 01:35:43,201] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4425870Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_402) 2022-11-23T01:37:55.4425964Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4426056Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4426133Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.4426222Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4426311Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.4426388Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.4426466Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.4426559Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.4426635Z 18 RETURN_VALUE 2022-11-23T01:37:55.4426640Z 2022-11-23T01:37:55.4426703Z 2022-11-23T01:37:55.4426892Z [2022-11-23 01:35:43,202] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.4426967Z - 2022-11-23T01:37:55.4427089Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.4427141Z { 2022-11-23T01:37:55.4427286Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.4427478Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.4427605Z 'obj_weakref': None 2022-11-23T01:37:55.4427834Z 'guarded_class': 2022-11-23T01:37:55.4427900Z } 2022-11-23T01:37:55.4427965Z 2022-11-23T01:37:55.4428023Z - 2022-11-23T01:37:55.4428250Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.4428320Z { 2022-11-23T01:37:55.4428473Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.4428585Z 'code': None, 2022-11-23T01:37:55.4428805Z 'obj_weakref': 2022-11-23T01:37:55.4429066Z 'guarded_class': 2022-11-23T01:37:55.4429117Z } 2022-11-23T01:37:55.4429182Z 2022-11-23T01:37:55.4429254Z - 2022-11-23T01:37:55.4429418Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.4429483Z { 2022-11-23T01:37:55.4429630Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.4429742Z 'code': None, 2022-11-23T01:37:55.4429944Z 'obj_weakref': 2022-11-23T01:37:55.4430205Z 'guarded_class': 2022-11-23T01:37:55.4430270Z } 2022-11-23T01:37:55.4430335Z 2022-11-23T01:37:55.4430412Z - 2022-11-23T01:37:55.4430549Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.4430614Z { 2022-11-23T01:37:55.4430738Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.4430912Z 'code': ['___check_obj_id(model, 140538426291840)'], 2022-11-23T01:37:55.4431036Z 'obj_weakref': None 2022-11-23T01:37:55.4431271Z 'guarded_class': 2022-11-23T01:37:55.4431337Z } 2022-11-23T01:37:55.4431399Z 2022-11-23T01:37:55.4431472Z - 2022-11-23T01:37:55.4431583Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.4431648Z { 2022-11-23T01:37:55.4431789Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.4432009Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.4432130Z 'obj_weakref': None 2022-11-23T01:37:55.4432356Z 'guarded_class': 2022-11-23T01:37:55.4432418Z } 2022-11-23T01:37:55.4432468Z 2022-11-23T01:37:55.4432728Z [2022-11-23 01:35:43,207] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 394 2022-11-23T01:37:55.4433093Z [2022-11-23 01:35:44,746] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6b/c6bzo7bracp47ohw74rlis3xdfqrihb74fgtct32kmsenuyns4e5.py 2022-11-23T01:37:55.4433365Z [2022-11-23 01:35:44,746] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 394 2022-11-23T01:37:55.4433371Z 2022-11-23T01:37:55.4433467Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.4433538Z import torch 2022-11-23T01:37:55.4433606Z import random 2022-11-23T01:37:55.4433723Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.4433832Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.4433848Z 2022-11-23T01:37:55.4433914Z aten = torch.ops.aten 2022-11-23T01:37:55.4434045Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.4434135Z async_compile = AsyncCompile() 2022-11-23T01:37:55.4434141Z 2022-11-23T01:37:55.4434145Z 2022-11-23T01:37:55.4434282Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.4434486Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.4434608Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.4434712Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.4434811Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.4434859Z { 2022-11-23T01:37:55.4434935Z #pragma GCC ivdep 2022-11-23T01:37:55.4435043Z for(long i0=0; i0<32; i0+=1) 2022-11-23T01:37:55.4435104Z { 2022-11-23T01:37:55.4435183Z #pragma GCC ivdep 2022-11-23T01:37:55.4435263Z for(long i1=0; i1<16; i1+=1) 2022-11-23T01:37:55.4435313Z { 2022-11-23T01:37:55.4435374Z { 2022-11-23T01:37:55.4435438Z { 2022-11-23T01:37:55.4435537Z auto tmp0 = in_ptr0[i0 + (32*i1)]; 2022-11-23T01:37:55.4435634Z auto tmp1 = in_ptr1[i1 + (16*i0)]; 2022-11-23T01:37:55.4435728Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.4435824Z out_ptr0[i1 + (16*i0)] = tmp2; 2022-11-23T01:37:55.4435906Z } 2022-11-23T01:37:55.4435971Z } 2022-11-23T01:37:55.4436031Z } 2022-11-23T01:37:55.4436094Z } 2022-11-23T01:37:55.4436152Z } 2022-11-23T01:37:55.4436233Z ''') 2022-11-23T01:37:55.4436238Z 2022-11-23T01:37:55.4436243Z 2022-11-23T01:37:55.4436330Z async_compile.wait(globals()) 2022-11-23T01:37:55.4436389Z del async_compile 2022-11-23T01:37:55.4436396Z 2022-11-23T01:37:55.4436465Z def call(args): 2022-11-23T01:37:55.4436539Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.4436609Z args.clear() 2022-11-23T01:37:55.4436815Z buf0 = empty_strided((32, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4436979Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.4437050Z del arg0_1 2022-11-23T01:37:55.4437104Z del arg1_1 2022-11-23T01:37:55.4437174Z return (buf0, ) 2022-11-23T01:37:55.4437180Z 2022-11-23T01:37:55.4437184Z 2022-11-23T01:37:55.4437262Z if __name__ == "__main__": 2022-11-23T01:37:55.4437374Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.4437495Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.4437700Z arg0_1 = rand_strided((16, 32), (32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4437905Z arg1_1 = rand_strided((32, 16), (16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4438019Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.4438024Z 2022-11-23T01:37:55.4438078Z ok (1.558s) 2022-11-23T01:37:55.4438389Z test_transpose_cpu (__main__.CpuTests) ... [2022-11-23 01:35:44,754] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.4438661Z [2022-11-23 01:35:44,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.4438883Z [2022-11-23 01:35:44,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.4439143Z [2022-11-23 01:35:44,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.4439432Z [2022-11-23 01:35:44,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.4439758Z [2022-11-23 01:35:44,754] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.4440094Z [2022-11-23 01:35:44,754] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.4440192Z 1244 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.4440282Z 2 LOAD_METHOD 1 (t) 2022-11-23T01:37:55.4440360Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.4440447Z 6 CALL_METHOD 1 2022-11-23T01:37:55.4440534Z 8 LOAD_FAST 1 (b) 2022-11-23T01:37:55.4440610Z 10 BINARY_ADD 2022-11-23T01:37:55.4440615Z 2022-11-23T01:37:55.4440709Z 1245 12 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.4440809Z 14 LOAD_METHOD 2 (transpose) 2022-11-23T01:37:55.4440897Z 16 LOAD_FAST 1 (b) 2022-11-23T01:37:55.4441034Z 18 LOAD_CONST 1 (2) 2022-11-23T01:37:55.4441117Z 20 BINARY_MULTIPLY 2022-11-23T01:37:55.4441203Z 22 LOAD_CONST 2 (0) 2022-11-23T01:37:55.4441288Z 24 LOAD_CONST 3 (1) 2022-11-23T01:37:55.4441378Z 26 CALL_METHOD 3 2022-11-23T01:37:55.4441468Z 28 LOAD_CONST 4 (10) 2022-11-23T01:37:55.4441540Z 30 BINARY_ADD 2022-11-23T01:37:55.4441616Z 32 BUILD_TUPLE 2 2022-11-23T01:37:55.4441691Z 34 RETURN_VALUE 2022-11-23T01:37:55.4441783Z 2022-11-23T01:37:55.4441788Z 2022-11-23T01:37:55.4442063Z [2022-11-23 01:35:44,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1244 2022-11-23T01:37:55.4442285Z [2022-11-23 01:35:44,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.4442652Z [2022-11-23 01:35:44,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR t [TorchVariable()] 2022-11-23T01:37:55.4442974Z [2022-11-23 01:35:44,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:55.4443327Z [2022-11-23 01:35:44,755] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.4443568Z [2022-11-23 01:35:44,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.4443834Z [2022-11-23 01:35:44,756] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4444104Z [2022-11-23 01:35:44,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1245 2022-11-23T01:37:55.4444354Z [2022-11-23 01:35:44,757] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:37:55.4444757Z [2022-11-23 01:35:44,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR transpose [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.4445115Z [2022-11-23 01:35:44,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.4445504Z [2022-11-23 01:35:44,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.4445953Z [2022-11-23 01:35:44,758] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4446340Z [2022-11-23 01:35:44,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.4446764Z [2022-11-23 01:35:44,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4447234Z [2022-11-23 01:35:44,759] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.4447508Z [2022-11-23 01:35:44,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 10 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4447852Z [2022-11-23 01:35:44,760] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4448123Z [2022-11-23 01:35:44,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4448360Z [2022-11-23 01:35:44,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.4448692Z [2022-11-23 01:35:44,761] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.4448937Z [2022-11-23 01:35:44,761] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.4449206Z [2022-11-23 01:35:44,761] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.4449464Z [2022-11-23 01:35:44,762] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.4449720Z [2022-11-23 01:35:44,767] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.4449913Z [2022-11-23 01:35:44,768] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.4450047Z __compiled_fn_403 .3232 opcode, name, target, args, kwargs 2022-11-23T01:37:55.4450136Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.4450209Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.4450424Z call_function, t, , (ex_0_,), {} 2022-11-23T01:37:55.4450599Z call_function, add, , (t, ex_1_), {} 2022-11-23T01:37:55.4450771Z call_function, mul, , (ex_1_, 2), {} 2022-11-23T01:37:55.4451023Z call_function, transpose, , (mul, 0, 1), {} 2022-11-23T01:37:55.4451213Z call_function, add_1, , (transpose, 10), {} 2022-11-23T01:37:55.4451316Z output, output, output, ((add, add_1),), {} 2022-11-23T01:37:55.4451321Z 2022-11-23T01:37:55.4451603Z [2022-11-23 01:35:44,768] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4451684Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.4451775Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4451866Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.4451955Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.4452031Z 8 RETURN_VALUE 2022-11-23T01:37:55.4452036Z 2022-11-23T01:37:55.4452099Z 2022-11-23T01:37:55.4452376Z [2022-11-23 01:35:44,768] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4452484Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_403) 2022-11-23T01:37:55.4452561Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4452648Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4452725Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.4452813Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4452899Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.4452973Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.4453059Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.4453152Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4453252Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4453340Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4453414Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.4453515Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4453603Z 26 LOAD_CONST 2 (1) 2022-11-23T01:37:55.4453676Z 28 BINARY_SUBSCR 2022-11-23T01:37:55.4453751Z 30 BUILD_TUPLE 2 2022-11-23T01:37:55.4453824Z 32 RETURN_VALUE 2022-11-23T01:37:55.4453829Z 2022-11-23T01:37:55.4453888Z 2022-11-23T01:37:55.4454102Z [2022-11-23 01:35:44,769] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.4454176Z - 2022-11-23T01:37:55.4454297Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.4454361Z { 2022-11-23T01:37:55.4454492Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.4454680Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.4454803Z 'obj_weakref': None 2022-11-23T01:37:55.4455027Z 'guarded_class': 2022-11-23T01:37:55.4455092Z } 2022-11-23T01:37:55.4455193Z 2022-11-23T01:37:55.4455264Z - 2022-11-23T01:37:55.4455379Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.4455441Z { 2022-11-23T01:37:55.4455588Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.4455696Z 'code': None, 2022-11-23T01:37:55.4455914Z 'obj_weakref': 2022-11-23T01:37:55.4456170Z 'guarded_class': 2022-11-23T01:37:55.4456233Z } 2022-11-23T01:37:55.4456284Z 2022-11-23T01:37:55.4456354Z - 2022-11-23T01:37:55.4456478Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.4456541Z { 2022-11-23T01:37:55.4456686Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.4456793Z 'code': None, 2022-11-23T01:37:55.4457008Z 'obj_weakref': 2022-11-23T01:37:55.4457256Z 'guarded_class': 2022-11-23T01:37:55.4457320Z } 2022-11-23T01:37:55.4457382Z 2022-11-23T01:37:55.4457452Z - 2022-11-23T01:37:55.4457585Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.4457649Z { 2022-11-23T01:37:55.4457786Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.4457946Z 'code': ['___check_obj_id(model, 140538730832960)'], 2022-11-23T01:37:55.4458067Z 'obj_weakref': None 2022-11-23T01:37:55.4458295Z 'guarded_class': 2022-11-23T01:37:55.4458359Z } 2022-11-23T01:37:55.4458420Z 2022-11-23T01:37:55.4458490Z - 2022-11-23T01:37:55.4458614Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.4458665Z { 2022-11-23T01:37:55.4458989Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.4459280Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.4459405Z 'obj_weakref': None 2022-11-23T01:37:55.4459627Z 'guarded_class': 2022-11-23T01:37:55.4459694Z } 2022-11-23T01:37:55.4459756Z 2022-11-23T01:37:55.4459814Z - 2022-11-23T01:37:55.4459952Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.4460017Z { 2022-11-23T01:37:55.4460139Z 'guard_types': None, 2022-11-23T01:37:55.4460249Z 'code': None, 2022-11-23T01:37:55.4460367Z 'obj_weakref': None 2022-11-23T01:37:55.4460490Z 'guarded_class': None 2022-11-23T01:37:55.4460540Z } 2022-11-23T01:37:55.4460602Z 2022-11-23T01:37:55.4460865Z [2022-11-23 01:35:44,778] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 395 2022-11-23T01:37:55.4461252Z [2022-11-23 01:35:46,335] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/gv/cgvzefvtdzafliefcvxscrhuptyooqilcu3qvhu4b7tu32t2v6rv.py 2022-11-23T01:37:55.4461577Z [2022-11-23 01:35:46,335] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 395 2022-11-23T01:37:55.4461585Z 2022-11-23T01:37:55.4461680Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.4461749Z import torch 2022-11-23T01:37:55.4461819Z import random 2022-11-23T01:37:55.4461921Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.4462042Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.4462047Z 2022-11-23T01:37:55.4462126Z aten = torch.ops.aten 2022-11-23T01:37:55.4462259Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.4462350Z async_compile = AsyncCompile() 2022-11-23T01:37:55.4462406Z 2022-11-23T01:37:55.4462411Z 2022-11-23T01:37:55.4462550Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.4462757Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.4462875Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.4462969Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.4463070Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.4463166Z float* __restrict__ out_ptr1) 2022-11-23T01:37:55.4463225Z { 2022-11-23T01:37:55.4463301Z #pragma GCC ivdep 2022-11-23T01:37:55.4463381Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.4463441Z { 2022-11-23T01:37:55.4463507Z #pragma GCC ivdep 2022-11-23T01:37:55.4463588Z for(long i1=0; i1<8; i1+=1) 2022-11-23T01:37:55.4463651Z { 2022-11-23T01:37:55.4463714Z { 2022-11-23T01:37:55.4463780Z { 2022-11-23T01:37:55.4463879Z auto tmp0 = in_ptr0[i0 + (8*i1)]; 2022-11-23T01:37:55.4463978Z auto tmp1 = in_ptr1[i1 + (8*i0)]; 2022-11-23T01:37:55.4464058Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.4464151Z out_ptr0[i1 + (8*i0)] = tmp2; 2022-11-23T01:37:55.4464214Z } 2022-11-23T01:37:55.4464276Z } 2022-11-23T01:37:55.4464340Z } 2022-11-23T01:37:55.4464400Z } 2022-11-23T01:37:55.4464465Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.4464524Z { 2022-11-23T01:37:55.4464674Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.4464807Z auto tmp1 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:37:55.4464889Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.4466618Z auto tmp3 = at::vec::Vectorized(static_cast(10)); 2022-11-23T01:37:55.4466705Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.4466795Z tmp4.store(out_ptr1 + 8*i0); 2022-11-23T01:37:55.4466859Z } 2022-11-23T01:37:55.4466949Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.4467016Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:37:55.4467077Z { 2022-11-23T01:37:55.4467159Z auto tmp0 = in_ptr1[i0]; 2022-11-23T01:37:55.4467255Z auto tmp1 = static_cast(2); 2022-11-23T01:37:55.4467339Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.4467442Z auto tmp3 = static_cast(10); 2022-11-23T01:37:55.4467527Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.4467591Z out_ptr1[i0] = tmp4; 2022-11-23T01:37:55.4467653Z } 2022-11-23T01:37:55.4467712Z } 2022-11-23T01:37:55.4467811Z ''') 2022-11-23T01:37:55.4467817Z 2022-11-23T01:37:55.4467821Z 2022-11-23T01:37:55.4467915Z async_compile.wait(globals()) 2022-11-23T01:37:55.4468076Z del async_compile 2022-11-23T01:37:55.4468081Z 2022-11-23T01:37:55.4468239Z def call(args): 2022-11-23T01:37:55.4468306Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.4468377Z args.clear() 2022-11-23T01:37:55.4468583Z buf0 = empty_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4468783Z buf1 = empty_strided((8, 8), (1, 8), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4468975Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:55.4469098Z del arg0_1 2022-11-23T01:37:55.4469169Z del arg1_1 2022-11-23T01:37:55.4469233Z return (buf0, buf1, ) 2022-11-23T01:37:55.4469238Z 2022-11-23T01:37:55.4469242Z 2022-11-23T01:37:55.4469316Z if __name__ == "__main__": 2022-11-23T01:37:55.4469433Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.4469559Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.4469760Z arg0_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4469963Z arg1_1 = rand_strided((8, 8), (8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4470079Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.4470084Z 2022-11-23T01:37:55.4470152Z ok (1.589s) 2022-11-23T01:37:55.4470477Z test_transposed_propagates_cpu (__main__.CpuTests) ... [2022-11-23 01:35:46,344] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:37:55.4470757Z [2022-11-23 01:35:46,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2206 2022-11-23T01:37:55.4470976Z [2022-11-23 01:35:46,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.4471219Z [2022-11-23 01:35:46,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:37:55.4471500Z [2022-11-23 01:35:46,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4471754Z [2022-11-23 01:35:46,345] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.4471989Z [2022-11-23 01:35:46,345] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:37:55.4472235Z [2022-11-23 01:35:46,346] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:37:55.4472478Z [2022-11-23 01:35:46,350] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:37:55.4472659Z [2022-11-23 01:35:46,351] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.4472796Z __compiled_fn_404 .3238 opcode, name, target, args, kwargs 2022-11-23T01:37:55.4472881Z placeholder, x, x, (), {} 2022-11-23T01:37:55.4472965Z placeholder, y, y, (), {} 2022-11-23T01:37:55.4473134Z call_function, add, , (x, y), {} 2022-11-23T01:37:55.4473233Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.4473292Z 2022-11-23T01:37:55.4473577Z [2022-11-23 01:35:46,351] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 2204 2022-11-23T01:37:55.4473673Z 2206 0 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4473751Z 2 LOAD_FAST 1 (y) 2022-11-23T01:37:55.4473827Z 4 BINARY_ADD 2022-11-23T01:37:55.4473905Z 6 RETURN_VALUE 2022-11-23T01:37:55.4473909Z 2022-11-23T01:37:55.4473968Z 2022-11-23T01:37:55.4474252Z [2022-11-23 01:35:46,351] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 2204 2022-11-23T01:37:55.4474363Z 2204 0 LOAD_GLOBAL 0 (__compiled_fn_404) 2022-11-23T01:37:55.4474454Z 2 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4474531Z 4 LOAD_FAST 1 (y) 2022-11-23T01:37:55.4474623Z 6 CALL_FUNCTION 2 2022-11-23T01:37:55.4474716Z 8 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.4474795Z 10 RETURN_VALUE 2022-11-23T01:37:55.4474799Z 2022-11-23T01:37:55.4474862Z 2022-11-23T01:37:55.4475045Z [2022-11-23 01:35:46,352] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.4475118Z - 2022-11-23T01:37:55.4475241Z local 'x' TENSOR_MATCH 2022-11-23T01:37:55.4475293Z { 2022-11-23T01:37:55.4475438Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.4475547Z 'code': None, 2022-11-23T01:37:55.4475792Z 'obj_weakref': 2022-11-23T01:37:55.4476052Z 'guarded_class': 2022-11-23T01:37:55.4476118Z } 2022-11-23T01:37:55.4476180Z 2022-11-23T01:37:55.4476239Z - 2022-11-23T01:37:55.4476360Z local 'y' TENSOR_MATCH 2022-11-23T01:37:55.4476425Z { 2022-11-23T01:37:55.4476570Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.4476678Z 'code': None, 2022-11-23T01:37:55.4476893Z 'obj_weakref': 2022-11-23T01:37:55.4477144Z 'guarded_class': 2022-11-23T01:37:55.4477197Z } 2022-11-23T01:37:55.4477258Z 2022-11-23T01:37:55.4477522Z [2022-11-23 01:35:46,358] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 396 2022-11-23T01:37:55.4477893Z [2022-11-23 01:35:47,754] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lm/clm46xtqwizwmxzf4iyhevqz5pt4hbso4ult3eeefgopxmoaw5pc.py 2022-11-23T01:37:55.4478162Z [2022-11-23 01:35:47,755] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 396 2022-11-23T01:37:55.4478168Z 2022-11-23T01:37:55.4478264Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.4478333Z import torch 2022-11-23T01:37:55.4478403Z import random 2022-11-23T01:37:55.4478507Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.4478631Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.4478636Z 2022-11-23T01:37:55.4478712Z aten = torch.ops.aten 2022-11-23T01:37:55.4478845Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.4478936Z async_compile = AsyncCompile() 2022-11-23T01:37:55.4478941Z 2022-11-23T01:37:55.4478945Z 2022-11-23T01:37:55.4479084Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.4479290Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.4479408Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.4479499Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.4479597Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.4479705Z { 2022-11-23T01:37:55.4479784Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.4479844Z { 2022-11-23T01:37:55.4479981Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.4480112Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.4480182Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.4480267Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.4480327Z } 2022-11-23T01:37:55.4480414Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.4480498Z for(long i0=64; i0<64; i0+=1) 2022-11-23T01:37:55.4480559Z { 2022-11-23T01:37:55.4480639Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.4480706Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.4480787Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.4480866Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.4480927Z } 2022-11-23T01:37:55.4480988Z } 2022-11-23T01:37:55.4481068Z ''') 2022-11-23T01:37:55.4481076Z 2022-11-23T01:37:55.4481080Z 2022-11-23T01:37:55.4481167Z async_compile.wait(globals()) 2022-11-23T01:37:55.4481225Z del async_compile 2022-11-23T01:37:55.4481230Z 2022-11-23T01:37:55.4481299Z def call(args): 2022-11-23T01:37:55.4481372Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.4481442Z args.clear() 2022-11-23T01:37:55.4481657Z buf0 = empty_strided((1, 4, 4, 4), (64, 4, 1, 16), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4481821Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.4481920Z del arg0_1 2022-11-23T01:37:55.4481977Z del arg1_1 2022-11-23T01:37:55.4482047Z return (buf0, ) 2022-11-23T01:37:55.4482052Z 2022-11-23T01:37:55.4482056Z 2022-11-23T01:37:55.4482131Z if __name__ == "__main__": 2022-11-23T01:37:55.4482245Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.4482366Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.4482583Z arg0_1 = rand_strided((1, 4, 4, 4), (64, 4, 1, 16), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4482792Z arg1_1 = rand_strided((4, 4, 4), (4, 1, 16), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4482907Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.4482912Z 2022-11-23T01:37:55.4482978Z ok (1.419s) 2022-11-23T01:37:55.4483103Z test_triton_conv_cpu (__main__.CpuTests) ... skip: requires cuda (0.002s) 2022-11-23T01:37:55.4483417Z test_triton_mm2_cpu (__main__.CpuTests) ... [2022-11-23 01:35:47,800] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing fn 2022-11-23T01:37:55.4483692Z [2022-11-23 01:35:47,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2272 2022-11-23T01:37:55.4483918Z [2022-11-23 01:35:47,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.4484286Z [2022-11-23 01:35:47,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR relu [TorchVariable()] 2022-11-23T01:37:55.4484622Z [2022-11-23 01:35:47,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TorchVariable()] 2022-11-23T01:37:55.4485092Z [2022-11-23 01:35:47,800] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR mm [TorchVariable(), TorchVariable()] 2022-11-23T01:37:55.4485517Z [2022-11-23 01:35:47,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(), TorchVariable()] 2022-11-23T01:37:55.4485963Z [2022-11-23 01:35:47,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TorchVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.4486485Z [2022-11-23 01:35:47,801] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TorchVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4486837Z [2022-11-23 01:35:47,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.4487089Z [2022-11-23 01:35:47,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.4487312Z [2022-11-23 01:35:47,803] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing fn 2022-11-23T01:37:55.4487557Z [2022-11-23 01:35:47,804] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:37:55.4487801Z [2022-11-23 01:35:47,808] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:37:55.4487994Z [2022-11-23 01:35:47,809] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.4488128Z __compiled_fn_405 .3244 opcode, name, target, args, kwargs 2022-11-23T01:37:55.4488211Z placeholder, x, x, (), {} 2022-11-23T01:37:55.4488289Z placeholder, y, y, (), {} 2022-11-23T01:37:55.4488504Z call_function, mm, , (x, y), {} 2022-11-23T01:37:55.4488742Z call_function, relu, , (mm,), {} 2022-11-23T01:37:55.4488841Z output, output, output, ((relu,),), {} 2022-11-23T01:37:55.4488847Z 2022-11-23T01:37:55.4489126Z [2022-11-23 01:35:47,809] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE fn inductor/test_torchinductor.py line 2270 2022-11-23T01:37:55.4489223Z 2272 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.4489316Z 2 LOAD_METHOD 1 (relu) 2022-11-23T01:37:55.4489410Z 4 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.4489502Z 6 LOAD_METHOD 2 (mm) 2022-11-23T01:37:55.4489592Z 8 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4489669Z 10 LOAD_FAST 1 (y) 2022-11-23T01:37:55.4489757Z 12 CALL_METHOD 2 2022-11-23T01:37:55.4489842Z 14 CALL_METHOD 1 2022-11-23T01:37:55.4489916Z 16 RETURN_VALUE 2022-11-23T01:37:55.4489921Z 2022-11-23T01:37:55.4489983Z 2022-11-23T01:37:55.4490260Z [2022-11-23 01:35:47,809] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE fn inductor/test_torchinductor.py line 2270 2022-11-23T01:37:55.4490368Z 2270 0 LOAD_GLOBAL 3 (__compiled_fn_405) 2022-11-23T01:37:55.4490445Z 2 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4490529Z 4 LOAD_FAST 1 (y) 2022-11-23T01:37:55.4490620Z 6 CALL_FUNCTION 2 2022-11-23T01:37:55.4490711Z 8 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.4490784Z 10 RETURN_VALUE 2022-11-23T01:37:55.4490788Z 2022-11-23T01:37:55.4490846Z 2022-11-23T01:37:55.4491030Z [2022-11-23 01:35:47,810] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.4491100Z - 2022-11-23T01:37:55.4491209Z local 'x' TENSOR_MATCH 2022-11-23T01:37:55.4491274Z { 2022-11-23T01:37:55.4491418Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.4491529Z 'code': None, 2022-11-23T01:37:55.4491743Z 'obj_weakref': 2022-11-23T01:37:55.4491999Z 'guarded_class': 2022-11-23T01:37:55.4492064Z } 2022-11-23T01:37:55.4492115Z 2022-11-23T01:37:55.4492184Z - 2022-11-23T01:37:55.4492339Z local 'y' TENSOR_MATCH 2022-11-23T01:37:55.4492400Z { 2022-11-23T01:37:55.4492543Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.4492652Z 'code': None, 2022-11-23T01:37:55.4492864Z 'obj_weakref': 2022-11-23T01:37:55.4493105Z 'guarded_class': 2022-11-23T01:37:55.4493169Z } 2022-11-23T01:37:55.4493232Z 2022-11-23T01:37:55.4493304Z - 2022-11-23T01:37:55.4493438Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.4493501Z { 2022-11-23T01:37:55.4493623Z 'guard_types': None, 2022-11-23T01:37:55.4493720Z 'code': None, 2022-11-23T01:37:55.4493838Z 'obj_weakref': None 2022-11-23T01:37:55.4493960Z 'guarded_class': None 2022-11-23T01:37:55.4494023Z } 2022-11-23T01:37:55.4494086Z 2022-11-23T01:37:55.4494347Z [2022-11-23 01:35:47,816] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 397 2022-11-23T01:37:55.4494720Z [2022-11-23 01:35:49,326] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nw/cnw3ibxickpe3nojwiladkulq4rnf4vd2zxsavqzrumusirjaqsd.py 2022-11-23T01:37:55.4494975Z [2022-11-23 01:35:49,326] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 397 2022-11-23T01:37:55.4494993Z 2022-11-23T01:37:55.4495109Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.4495182Z import torch 2022-11-23T01:37:55.4495249Z import random 2022-11-23T01:37:55.4495362Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.4495480Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.4495485Z 2022-11-23T01:37:55.4495562Z aten = torch.ops.aten 2022-11-23T01:37:55.4495696Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.4495778Z async_compile = AsyncCompile() 2022-11-23T01:37:55.4495783Z 2022-11-23T01:37:55.4495787Z 2022-11-23T01:37:55.4495923Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.4496129Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.4496245Z extern "C" void kernel(float* __restrict__ in_out_ptr0) 2022-11-23T01:37:55.4496304Z { 2022-11-23T01:37:55.4496384Z for(long i0=0; i0<131072; i0+=1) 2022-11-23T01:37:55.4496443Z { 2022-11-23T01:37:55.4496572Z auto tmp0 = at::vec::Vectorized::loadu(in_out_ptr0 + 8*i0); 2022-11-23T01:37:55.4496697Z auto tmp1 = at::vec::clamp_min(tmp0, decltype(tmp0)(0)); 2022-11-23T01:37:55.4496789Z tmp1.store(in_out_ptr0 + 8*i0); 2022-11-23T01:37:55.4496850Z } 2022-11-23T01:37:55.4496938Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.4497025Z for(long i0=1048576; i0<1048576; i0+=1) 2022-11-23T01:37:55.4497085Z { 2022-11-23T01:37:55.4497161Z auto tmp0 = in_out_ptr0[i0]; 2022-11-23T01:37:55.4497244Z auto tmp1 = tmp0 * (tmp0>0); 2022-11-23T01:37:55.4497324Z in_out_ptr0[i0] = tmp1; 2022-11-23T01:37:55.4497385Z } 2022-11-23T01:37:55.4497445Z } 2022-11-23T01:37:55.4497523Z ''') 2022-11-23T01:37:55.4497528Z 2022-11-23T01:37:55.4497533Z 2022-11-23T01:37:55.4497618Z async_compile.wait(globals()) 2022-11-23T01:37:55.4497690Z del async_compile 2022-11-23T01:37:55.4497695Z 2022-11-23T01:37:55.4497752Z def call(args): 2022-11-23T01:37:55.4497825Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.4497895Z args.clear() 2022-11-23T01:37:55.4498106Z buf0 = empty_strided((1024, 1024), (1024, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4498201Z aten.mm.out(arg0_1, arg1_1, out=buf0) 2022-11-23T01:37:55.4498268Z del arg0_1 2022-11-23T01:37:55.4498332Z del arg1_1 2022-11-23T01:37:55.4498403Z buf1 = buf0; del buf0 # reuse 2022-11-23T01:37:55.4498504Z kernel_cpp_0(c_void_p(buf1.data_ptr())) 2022-11-23T01:37:55.4498609Z return (buf1, ) 2022-11-23T01:37:55.4498614Z 2022-11-23T01:37:55.4498618Z 2022-11-23T01:37:55.4498692Z if __name__ == "__main__": 2022-11-23T01:37:55.4498982Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.4499181Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.4499407Z arg0_1 = rand_strided((1024, 1024), (1024, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4499599Z arg1_1 = rand_strided((1024, 1024), (1024, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4499718Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.4499723Z 2022-11-23T01:37:55.4499790Z ok (1.603s) 2022-11-23T01:37:55.4500093Z test_triu_cpu (__main__.CpuTests) ... [2022-11-23 01:35:49,367] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.4500366Z [2022-11-23 01:35:49,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.4500591Z [2022-11-23 01:35:49,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.4500852Z [2022-11-23 01:35:49,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.4501143Z [2022-11-23 01:35:49,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.4501538Z [2022-11-23 01:35:49,367] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.4501875Z [2022-11-23 01:35:49,368] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.4501959Z 3161 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.4502054Z 2 LOAD_METHOD 1 (triu) 2022-11-23T01:37:55.4502144Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.4502238Z 6 LOAD_CONST 1 (1) 2022-11-23T01:37:55.4502326Z 8 CALL_METHOD 2 2022-11-23T01:37:55.4502419Z 10 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.4502507Z 12 LOAD_METHOD 1 (triu) 2022-11-23T01:37:55.4502582Z 14 LOAD_FAST 0 (a) 2022-11-23T01:37:55.4502670Z 16 LOAD_CONST 2 (0) 2022-11-23T01:37:55.4502757Z 18 CALL_METHOD 2 2022-11-23T01:37:55.4502850Z 20 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.4502938Z 22 LOAD_METHOD 1 (triu) 2022-11-23T01:37:55.4503023Z 24 LOAD_FAST 0 (a) 2022-11-23T01:37:55.4503109Z 26 LOAD_CONST 3 (2) 2022-11-23T01:37:55.4503182Z 28 CALL_METHOD 2 2022-11-23T01:37:55.4503269Z 30 BUILD_TUPLE 3 2022-11-23T01:37:55.4503345Z 32 RETURN_VALUE 2022-11-23T01:37:55.4503405Z 2022-11-23T01:37:55.4503410Z 2022-11-23T01:37:55.4503681Z [2022-11-23 01:35:49,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3161 2022-11-23T01:37:55.4503901Z [2022-11-23 01:35:49,368] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.4504212Z [2022-11-23 01:35:49,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR triu [TorchVariable()] 2022-11-23T01:37:55.4504468Z [2022-11-23 01:35:49,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.triu)] 2022-11-23T01:37:55.4504750Z [2022-11-23 01:35:49,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.triu), TensorVariable()] 2022-11-23T01:37:55.4505063Z [2022-11-23 01:35:49,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.triu), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4505372Z [2022-11-23 01:35:49,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:55.4505703Z [2022-11-23 01:35:49,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR triu [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.4505983Z [2022-11-23 01:35:49,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.triu)] 2022-11-23T01:37:55.4506293Z [2022-11-23 01:35:49,382] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TorchVariable(aten.triu), TensorVariable()] 2022-11-23T01:37:55.4506644Z [2022-11-23 01:35:49,383] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.triu), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4506918Z [2022-11-23 01:35:49,384] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4507285Z [2022-11-23 01:35:49,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR triu [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.4507594Z [2022-11-23 01:35:49,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.triu)] 2022-11-23T01:37:55.4507975Z [2022-11-23 01:35:49,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.triu), TensorVariable()] 2022-11-23T01:37:55.4508441Z [2022-11-23 01:35:49,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.triu), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4508732Z [2022-11-23 01:35:49,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 3 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4508984Z [2022-11-23 01:35:49,391] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.4509322Z [2022-11-23 01:35:49,392] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.4509570Z [2022-11-23 01:35:49,392] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.4509811Z [2022-11-23 01:35:49,392] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.4510072Z [2022-11-23 01:35:49,393] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.4510329Z [2022-11-23 01:35:49,398] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.4510522Z [2022-11-23 01:35:49,399] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.4510652Z __compiled_fn_406 .3250 opcode, name, target, args, kwargs 2022-11-23T01:37:55.4516823Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.4516959Z call_function, triu, aten.triu, (ex_0_, 1), {} 2022-11-23T01:37:55.4517070Z call_function, triu_1, aten.triu, (ex_0_, 0), {} 2022-11-23T01:37:55.4517178Z call_function, triu_2, aten.triu, (ex_0_, 2), {} 2022-11-23T01:37:55.4517294Z output, output, output, ((triu, triu_1, triu_2),), {} 2022-11-23T01:37:55.4517302Z 2022-11-23T01:37:55.4517603Z [2022-11-23 01:35:49,399] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4517699Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.4517792Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4517886Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.4517977Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.4518053Z 8 RETURN_VALUE 2022-11-23T01:37:55.4518059Z 2022-11-23T01:37:55.4518194Z 2022-11-23T01:37:55.4518477Z [2022-11-23 01:35:49,399] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4518575Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_406) 2022-11-23T01:37:55.4518665Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4518756Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4518834Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.4518925Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.4519033Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4519135Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4519210Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4519287Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.4519390Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4519478Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.4519557Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.4519657Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4519745Z 26 LOAD_CONST 3 (2) 2022-11-23T01:37:55.4519807Z 28 BINARY_SUBSCR 2022-11-23T01:37:55.4519896Z 30 BUILD_TUPLE 3 2022-11-23T01:37:55.4519971Z 32 RETURN_VALUE 2022-11-23T01:37:55.4519977Z 2022-11-23T01:37:55.4520039Z 2022-11-23T01:37:55.4520230Z [2022-11-23 01:35:49,400] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.4520305Z - 2022-11-23T01:37:55.4520466Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.4520520Z { 2022-11-23T01:37:55.4520666Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.4520858Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.4520983Z 'obj_weakref': None 2022-11-23T01:37:55.4521213Z 'guarded_class': 2022-11-23T01:37:55.4521282Z } 2022-11-23T01:37:55.4521344Z 2022-11-23T01:37:55.4521402Z - 2022-11-23T01:37:55.4521528Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.4521591Z { 2022-11-23T01:37:55.4521739Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.4521851Z 'code': None, 2022-11-23T01:37:55.4522068Z 'obj_weakref': 2022-11-23T01:37:55.4522328Z 'guarded_class': 2022-11-23T01:37:55.4522391Z } 2022-11-23T01:37:55.4522441Z 2022-11-23T01:37:55.4522514Z - 2022-11-23T01:37:55.4522648Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.4522713Z { 2022-11-23T01:37:55.4522849Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.4523023Z 'code': ['___check_obj_id(model, 140538743090496)'], 2022-11-23T01:37:55.4523134Z 'obj_weakref': None 2022-11-23T01:37:55.4523370Z 'guarded_class': 2022-11-23T01:37:55.4523436Z } 2022-11-23T01:37:55.4523499Z 2022-11-23T01:37:55.4523571Z - 2022-11-23T01:37:55.4523695Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.4523759Z { 2022-11-23T01:37:55.4523883Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.4524103Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.4524224Z 'obj_weakref': None 2022-11-23T01:37:55.4524447Z 'guarded_class': 2022-11-23T01:37:55.4524512Z } 2022-11-23T01:37:55.4524574Z 2022-11-23T01:37:55.4524645Z - 2022-11-23T01:37:55.4524802Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.4524867Z { 2022-11-23T01:37:55.4524991Z 'guard_types': None, 2022-11-23T01:37:55.4525102Z 'code': None, 2022-11-23T01:37:55.4525222Z 'obj_weakref': None 2022-11-23T01:37:55.4525346Z 'guarded_class': None 2022-11-23T01:37:55.4525411Z } 2022-11-23T01:37:55.4525461Z 2022-11-23T01:37:55.4525722Z [2022-11-23 01:35:49,408] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 398 2022-11-23T01:37:55.4526099Z [2022-11-23 01:35:50,883] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mq/cmqre3zten3sjmhnayh3p5lr66dm2tmklqkcqc2liumd5bnvnt7m.py 2022-11-23T01:37:55.4526366Z [2022-11-23 01:35:50,883] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 398 2022-11-23T01:37:55.4526373Z 2022-11-23T01:37:55.4526467Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.4526540Z import torch 2022-11-23T01:37:55.4526610Z import random 2022-11-23T01:37:55.4526725Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.4526833Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.4526838Z 2022-11-23T01:37:55.4526916Z aten = torch.ops.aten 2022-11-23T01:37:55.4527052Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.4527145Z async_compile = AsyncCompile() 2022-11-23T01:37:55.4527150Z 2022-11-23T01:37:55.4527155Z 2022-11-23T01:37:55.4527293Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.4527538Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.4527662Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.4527764Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.4527848Z float* __restrict__ out_ptr1, 2022-11-23T01:37:55.4527943Z float* __restrict__ out_ptr2) 2022-11-23T01:37:55.4528007Z { 2022-11-23T01:37:55.4528087Z #pragma GCC ivdep 2022-11-23T01:37:55.4528168Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:55.4528230Z { 2022-11-23T01:37:55.4528307Z #pragma GCC ivdep 2022-11-23T01:37:55.4528376Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:37:55.4528440Z { 2022-11-23T01:37:55.4528520Z #pragma GCC ivdep 2022-11-23T01:37:55.4528605Z for(long i2=0; i2<10; i2+=1) 2022-11-23T01:37:55.4528670Z { 2022-11-23T01:37:55.4528735Z { 2022-11-23T01:37:55.4528804Z { 2022-11-23T01:37:55.4528901Z auto tmp3 = in_ptr0[i2 + (10*i1) + (100*i0)]; 2022-11-23T01:37:55.4529086Z auto tmp0 = static_cast((-1) + i2 + ((-1)*i1)); 2022-11-23T01:37:55.4529189Z auto tmp1 = static_cast(0); 2022-11-23T01:37:55.4529284Z auto tmp2 = tmp0 >= tmp1; 2022-11-23T01:37:55.4529393Z auto tmp4 = static_cast(0); 2022-11-23T01:37:55.4529493Z auto tmp5 = tmp2 ? tmp3 : tmp4; 2022-11-23T01:37:55.4529669Z auto tmp6 = static_cast(i2 + ((-1)*i1)); 2022-11-23T01:37:55.4529750Z auto tmp7 = tmp6 >= tmp1; 2022-11-23T01:37:55.4529850Z auto tmp8 = tmp7 ? tmp3 : tmp4; 2022-11-23T01:37:55.4530034Z auto tmp9 = static_cast((-2) + i2 + ((-1)*i1)); 2022-11-23T01:37:55.4530130Z auto tmp10 = tmp9 >= tmp1; 2022-11-23T01:37:55.4530235Z auto tmp11 = tmp10 ? tmp3 : tmp4; 2022-11-23T01:37:55.4530340Z out_ptr0[i2 + (10*i1) + (100*i0)] = tmp5; 2022-11-23T01:37:55.4530441Z out_ptr1[i2 + (10*i1) + (100*i0)] = tmp8; 2022-11-23T01:37:55.4530544Z out_ptr2[i2 + (10*i1) + (100*i0)] = tmp11; 2022-11-23T01:37:55.4530599Z } 2022-11-23T01:37:55.4530702Z } 2022-11-23T01:37:55.4530766Z } 2022-11-23T01:37:55.4530830Z } 2022-11-23T01:37:55.4530891Z } 2022-11-23T01:37:55.4530951Z } 2022-11-23T01:37:55.4531018Z ''') 2022-11-23T01:37:55.4531023Z 2022-11-23T01:37:55.4531041Z 2022-11-23T01:37:55.4531120Z async_compile.wait(globals()) 2022-11-23T01:37:55.4531192Z del async_compile 2022-11-23T01:37:55.4531198Z 2022-11-23T01:37:55.4531270Z def call(args): 2022-11-23T01:37:55.4531341Z arg0_1, = args 2022-11-23T01:37:55.4531412Z args.clear() 2022-11-23T01:37:55.4531629Z buf0 = empty_strided((2, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4531842Z buf1 = empty_strided((2, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4532037Z buf2 = empty_strided((2, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4532230Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr())) 2022-11-23T01:37:55.4532302Z del arg0_1 2022-11-23T01:37:55.4532387Z return (buf0, buf1, buf2, ) 2022-11-23T01:37:55.4532393Z 2022-11-23T01:37:55.4532397Z 2022-11-23T01:37:55.4532473Z if __name__ == "__main__": 2022-11-23T01:37:55.4532588Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.4532711Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.4532923Z arg0_1 = rand_strided((2, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4533048Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.4533055Z 2022-11-23T01:37:55.4533123Z ok (1.524s) 2022-11-23T01:37:55.4533436Z test_unbind_cpu (__main__.CpuTests) ... [2022-11-23 01:35:50,891] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.4533711Z [2022-11-23 01:35:50,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.4533939Z [2022-11-23 01:35:50,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.4534196Z [2022-11-23 01:35:50,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.4534488Z [2022-11-23 01:35:50,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.4534814Z [2022-11-23 01:35:50,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.4535148Z [2022-11-23 01:35:50,892] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.4535248Z 1800 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.4535330Z 2 LOAD_METHOD 1 (unbind) 2022-11-23T01:37:55.4535422Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.4535515Z 6 CALL_METHOD 1 2022-11-23T01:37:55.4535610Z 8 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.4535704Z 10 LOAD_METHOD 1 (unbind) 2022-11-23T01:37:55.4535795Z 12 LOAD_FAST 0 (a) 2022-11-23T01:37:55.4535936Z 14 LOAD_CONST 1 (-1) 2022-11-23T01:37:55.4536014Z 16 CALL_METHOD 2 2022-11-23T01:37:55.4536101Z 18 BUILD_TUPLE 2 2022-11-23T01:37:55.4536178Z 20 RETURN_VALUE 2022-11-23T01:37:55.4536244Z 2022-11-23T01:37:55.4536249Z 2022-11-23T01:37:55.4536522Z [2022-11-23 01:35:50,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1800 2022-11-23T01:37:55.4536746Z [2022-11-23 01:35:50,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.4537118Z [2022-11-23 01:35:50,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unbind [TorchVariable()] 2022-11-23T01:37:55.4537487Z [2022-11-23 01:35:50,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:55.4537848Z [2022-11-23 01:35:50,892] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.4538083Z [2022-11-23 01:35:50,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TupleVariable()] 2022-11-23T01:37:55.4538481Z [2022-11-23 01:35:50,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unbind [TupleVariable(), TorchVariable()] 2022-11-23T01:37:55.4539025Z [2022-11-23 01:35:50,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TupleVariable(), TorchVariable()] 2022-11-23T01:37:55.4539473Z [2022-11-23 01:35:50,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TupleVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.4539898Z [2022-11-23 01:35:50,895] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TupleVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4540235Z [2022-11-23 01:35:50,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TupleVariable(), TupleVariable()] 2022-11-23T01:37:55.4540491Z [2022-11-23 01:35:50,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.4540827Z [2022-11-23 01:35:50,897] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.4541079Z [2022-11-23 01:35:50,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.4541318Z [2022-11-23 01:35:50,897] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.4541576Z [2022-11-23 01:35:50,899] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.4541816Z [2022-11-23 01:35:50,903] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.4542008Z [2022-11-23 01:35:50,904] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.4542145Z __compiled_fn_407 .3256 opcode, name, target, args, kwargs 2022-11-23T01:37:55.4542238Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.4542472Z call_function, unbind, , (ex_0_,), {} 2022-11-23T01:37:55.4542669Z call_function, getitem, , (unbind, 0), {} 2022-11-23T01:37:55.4542869Z call_function, getitem_1, , (unbind, 1), {} 2022-11-23T01:37:55.4543064Z call_function, getitem_2, , (unbind, 2), {} 2022-11-23T01:37:55.4543244Z call_function, getitem_3, , (unbind, 3), {} 2022-11-23T01:37:55.4543484Z call_function, unbind_1, , (ex_0_, -1), {} 2022-11-23T01:37:55.4543681Z call_function, getitem_4, , (unbind_1, 0), {} 2022-11-23T01:37:55.4543881Z call_function, getitem_5, , (unbind_1, 1), {} 2022-11-23T01:37:55.4544076Z call_function, getitem_6, , (unbind_1, 2), {} 2022-11-23T01:37:55.4544274Z call_function, getitem_7, , (unbind_1, 3), {} 2022-11-23T01:37:55.4544454Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3, getitem_4, getitem_5, getitem_6, getitem_7),), {} 2022-11-23T01:37:55.4544505Z 2022-11-23T01:37:55.4544790Z [2022-11-23 01:35:50,904] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4544872Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.4544964Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4545056Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.4545146Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.4545223Z 8 RETURN_VALUE 2022-11-23T01:37:55.4545228Z 2022-11-23T01:37:55.4545289Z 2022-11-23T01:37:55.4545570Z [2022-11-23 01:35:50,904] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4545680Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_407) 2022-11-23T01:37:55.4545757Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4545846Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4545922Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.4546016Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.4546119Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4546222Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4546312Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4546375Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.4546476Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4546566Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.4546706Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.4546809Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4546897Z 26 LOAD_CONST 3 (2) 2022-11-23T01:37:55.4546972Z 28 BINARY_SUBSCR 2022-11-23T01:37:55.4547061Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4547148Z 32 LOAD_CONST 4 (3) 2022-11-23T01:37:55.4547225Z 34 BINARY_SUBSCR 2022-11-23T01:37:55.4547314Z 36 BUILD_TUPLE 4 2022-11-23T01:37:55.4547416Z 38 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4547502Z 40 LOAD_CONST 5 (4) 2022-11-23T01:37:55.4547578Z 42 BINARY_SUBSCR 2022-11-23T01:37:55.4547665Z 44 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4547753Z 46 LOAD_CONST 6 (5) 2022-11-23T01:37:55.4547829Z 48 BINARY_SUBSCR 2022-11-23T01:37:55.4547933Z 50 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4548020Z 52 LOAD_CONST 7 (6) 2022-11-23T01:37:55.4548156Z 54 BINARY_SUBSCR 2022-11-23T01:37:55.4548273Z 56 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4548360Z 58 LOAD_CONST 8 (7) 2022-11-23T01:37:55.4548423Z 60 BINARY_SUBSCR 2022-11-23T01:37:55.4548514Z 62 BUILD_TUPLE 4 2022-11-23T01:37:55.4548601Z 64 BUILD_TUPLE 2 2022-11-23T01:37:55.4548678Z 66 RETURN_VALUE 2022-11-23T01:37:55.4548684Z 2022-11-23T01:37:55.4548745Z 2022-11-23T01:37:55.4548936Z [2022-11-23 01:35:50,905] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.4549033Z - 2022-11-23T01:37:55.4549161Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.4549226Z { 2022-11-23T01:37:55.4549371Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.4549565Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.4549689Z 'obj_weakref': None 2022-11-23T01:37:55.4549903Z 'guarded_class': 2022-11-23T01:37:55.4549969Z } 2022-11-23T01:37:55.4550032Z 2022-11-23T01:37:55.4550105Z - 2022-11-23T01:37:55.4550274Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.4550335Z { 2022-11-23T01:37:55.4550480Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.4550577Z 'code': None, 2022-11-23T01:37:55.4550791Z 'obj_weakref': 2022-11-23T01:37:55.4551046Z 'guarded_class': 2022-11-23T01:37:55.4551111Z } 2022-11-23T01:37:55.4551172Z 2022-11-23T01:37:55.4551247Z - 2022-11-23T01:37:55.4551381Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.4551433Z { 2022-11-23T01:37:55.4551571Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.4551744Z 'code': ['___check_obj_id(model, 140538914011040)'], 2022-11-23T01:37:55.4551866Z 'obj_weakref': None 2022-11-23T01:37:55.4552100Z 'guarded_class': 2022-11-23T01:37:55.4552165Z } 2022-11-23T01:37:55.4552226Z 2022-11-23T01:37:55.4552284Z - 2022-11-23T01:37:55.4552405Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.4552471Z { 2022-11-23T01:37:55.4552613Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.4552835Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.4552958Z 'obj_weakref': None 2022-11-23T01:37:55.4553212Z 'guarded_class': 2022-11-23T01:37:55.4553266Z } 2022-11-23T01:37:55.4553330Z 2022-11-23T01:37:55.4553403Z - 2022-11-23T01:37:55.4553542Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.4553608Z { 2022-11-23T01:37:55.4553734Z 'guard_types': None, 2022-11-23T01:37:55.4553846Z 'code': None, 2022-11-23T01:37:55.4553957Z 'obj_weakref': None 2022-11-23T01:37:55.4554084Z 'guarded_class': None 2022-11-23T01:37:55.4554149Z } 2022-11-23T01:37:55.4554213Z 2022-11-23T01:37:55.4554478Z [2022-11-23 01:35:50,916] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 399 2022-11-23T01:37:55.4554855Z [2022-11-23 01:35:50,925] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/m2/cm2vcwssqzdyg72fooo5jhcoqpfvhrsbx4rwk5brao54guvo4kod.py 2022-11-23T01:37:55.4555128Z [2022-11-23 01:35:50,925] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 399 2022-11-23T01:37:55.4555134Z 2022-11-23T01:37:55.4555232Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.4555289Z import torch 2022-11-23T01:37:55.4555359Z import random 2022-11-23T01:37:55.4555477Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.4555600Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.4555608Z 2022-11-23T01:37:55.4555687Z aten = torch.ops.aten 2022-11-23T01:37:55.4555823Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.4555917Z async_compile = AsyncCompile() 2022-11-23T01:37:55.4555922Z 2022-11-23T01:37:55.4555927Z 2022-11-23T01:37:55.4556003Z async_compile.wait(globals()) 2022-11-23T01:37:55.4556076Z del async_compile 2022-11-23T01:37:55.4556081Z 2022-11-23T01:37:55.4556158Z def call(args): 2022-11-23T01:37:55.4556227Z arg0_1, = args 2022-11-23T01:37:55.4556300Z args.clear() 2022-11-23T01:37:55.4556583Z return (as_strided(arg0_1, (4, 4), (4, 1)), as_strided(arg0_1, (4, 4), (4, 1), 16), as_strided(arg0_1, (4, 4), (4, 1), 32), as_strided(arg0_1, (4, 4), (4, 1), 48), as_strided(arg0_1, (4, 4), (16, 4)), as_strided(arg0_1, (4, 4), (16, 4), 1), as_strided(arg0_1, (4, 4), (16, 4), 2), as_strided(arg0_1, (4, 4), (16, 4), 3), ) 2022-11-23T01:37:55.4556589Z 2022-11-23T01:37:55.4556593Z 2022-11-23T01:37:55.4556703Z if __name__ == "__main__": 2022-11-23T01:37:55.4556818Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.4556943Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.4557141Z arg0_1 = rand_strided((4, 4, 4), (16, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4557252Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.4557257Z 2022-11-23T01:37:55.4557328Z ok (0.040s) 2022-11-23T01:37:55.4557663Z test_unroll_small_reduction_cpu (__main__.CpuTests) ... [2022-11-23 01:35:50,930] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.4557942Z [2022-11-23 01:35:50,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.4558170Z [2022-11-23 01:35:50,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.4558430Z [2022-11-23 01:35:50,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.4558724Z [2022-11-23 01:35:50,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.4559053Z [2022-11-23 01:35:50,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.4559369Z [2022-11-23 01:35:50,930] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.4559510Z 804 0 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4559611Z 2 LOAD_METHOD 0 (min) 2022-11-23T01:37:55.4559753Z 4 LOAD_CONST 1 (-1) 2022-11-23T01:37:55.4559843Z 6 CALL_METHOD 1 2022-11-23T01:37:55.4559937Z 8 UNPACK_SEQUENCE 2 2022-11-23T01:37:55.4560030Z 10 STORE_FAST 1 (val1) 2022-11-23T01:37:55.4560128Z 12 STORE_FAST 2 (index1) 2022-11-23T01:37:55.4560133Z 2022-11-23T01:37:55.4560209Z 805 14 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4560302Z 16 LOAD_METHOD 1 (max) 2022-11-23T01:37:55.4560442Z 18 LOAD_CONST 1 (-1) 2022-11-23T01:37:55.4560527Z 20 CALL_METHOD 1 2022-11-23T01:37:55.4560616Z 22 UNPACK_SEQUENCE 2 2022-11-23T01:37:55.4560703Z 24 STORE_FAST 3 (val2) 2022-11-23T01:37:55.4560797Z 26 STORE_FAST 4 (index2) 2022-11-23T01:37:55.4560802Z 2022-11-23T01:37:55.4560891Z 807 28 LOAD_FAST 1 (val1) 2022-11-23T01:37:55.4560896Z 2022-11-23T01:37:55.4560974Z 808 30 LOAD_FAST 2 (index1) 2022-11-23T01:37:55.4560978Z 2022-11-23T01:37:55.4561067Z 809 32 LOAD_FAST 3 (val2) 2022-11-23T01:37:55.4561072Z 2022-11-23T01:37:55.4561164Z 810 34 LOAD_FAST 4 (index2) 2022-11-23T01:37:55.4561169Z 2022-11-23T01:37:55.4561257Z 811 36 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4561348Z 38 LOAD_METHOD 2 (sum) 2022-11-23T01:37:55.4561486Z 40 LOAD_CONST 1 (-1) 2022-11-23T01:37:55.4561572Z 42 CALL_METHOD 1 2022-11-23T01:37:55.4561577Z 2022-11-23T01:37:55.4561664Z 812 44 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4561739Z 46 LOAD_CONST 2 (1) 2022-11-23T01:37:55.4561834Z 48 COMPARE_OP 4 (>) 2022-11-23T01:37:55.4561924Z 50 LOAD_METHOD 3 (any) 2022-11-23T01:37:55.4562059Z 52 LOAD_CONST 1 (-1) 2022-11-23T01:37:55.4562146Z 54 CALL_METHOD 1 2022-11-23T01:37:55.4562151Z 2022-11-23T01:37:55.4562237Z 813 56 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4562322Z 58 LOAD_CONST 3 (0) 2022-11-23T01:37:55.4562445Z 60 COMPARE_OP 4 (>) 2022-11-23T01:37:55.4562525Z 62 LOAD_METHOD 4 (all) 2022-11-23T01:37:55.4562661Z 64 LOAD_CONST 1 (-1) 2022-11-23T01:37:55.4562745Z 66 CALL_METHOD 1 2022-11-23T01:37:55.4562750Z 2022-11-23T01:37:55.4562835Z 814 68 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4562925Z 70 LOAD_METHOD 5 (argmin) 2022-11-23T01:37:55.4563064Z 72 LOAD_CONST 1 (-1) 2022-11-23T01:37:55.4563148Z 74 CALL_METHOD 1 2022-11-23T01:37:55.4563154Z 2022-11-23T01:37:55.4563238Z 815 76 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4563317Z 78 LOAD_METHOD 6 (argmax) 2022-11-23T01:37:55.4563451Z 80 LOAD_CONST 1 (-1) 2022-11-23T01:37:55.4563534Z 82 CALL_METHOD 1 2022-11-23T01:37:55.4563541Z 2022-11-23T01:37:55.4563628Z 816 84 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4563720Z 86 LOAD_METHOD 7 (amin) 2022-11-23T01:37:55.4563856Z 88 LOAD_CONST 1 (-1) 2022-11-23T01:37:55.4563943Z 90 CALL_METHOD 1 2022-11-23T01:37:55.4563948Z 2022-11-23T01:37:55.4564025Z 817 92 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4564115Z 94 LOAD_METHOD 8 (amax) 2022-11-23T01:37:55.4564250Z 96 LOAD_CONST 1 (-1) 2022-11-23T01:37:55.4564363Z 98 CALL_METHOD 1 2022-11-23T01:37:55.4564449Z 100 BUILD_TUPLE 11 2022-11-23T01:37:55.4564524Z 102 RETURN_VALUE 2022-11-23T01:37:55.4564584Z 2022-11-23T01:37:55.4564589Z 2022-11-23T01:37:55.4564869Z [2022-11-23 01:35:50,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:804 2022-11-23T01:37:55.4565071Z [2022-11-23 01:35:50,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.4565320Z [2022-11-23 01:35:50,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable()] 2022-11-23T01:37:55.4565601Z [2022-11-23 01:35:50,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), min)] 2022-11-23T01:37:55.4565919Z [2022-11-23 01:35:50,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), min), ConstantVariable(int)] 2022-11-23T01:37:55.4566182Z [2022-11-23 01:35:50,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNPACK_SEQUENCE 2 [NamedTupleVariable()] 2022-11-23T01:37:55.4566454Z [2022-11-23 01:35:50,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST val1 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4566705Z [2022-11-23 01:35:50,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST index1 [TensorVariable()] 2022-11-23T01:37:55.4566973Z [2022-11-23 01:35:50,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:805 2022-11-23T01:37:55.4567186Z [2022-11-23 01:35:50,932] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.4567418Z [2022-11-23 01:35:50,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable()] 2022-11-23T01:37:55.4567698Z [2022-11-23 01:35:50,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), max)] 2022-11-23T01:37:55.4568017Z [2022-11-23 01:35:50,933] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), max), ConstantVariable(int)] 2022-11-23T01:37:55.4568275Z [2022-11-23 01:35:50,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNPACK_SEQUENCE 2 [NamedTupleVariable()] 2022-11-23T01:37:55.4568548Z [2022-11-23 01:35:50,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST val2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4568834Z [2022-11-23 01:35:50,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST index2 [TensorVariable()] 2022-11-23T01:37:55.4569101Z [2022-11-23 01:35:50,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:807 2022-11-23T01:37:55.4569318Z [2022-11-23 01:35:50,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST val1 [] 2022-11-23T01:37:55.4569587Z [2022-11-23 01:35:50,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:808 2022-11-23T01:37:55.4569836Z [2022-11-23 01:35:50,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index1 [TensorVariable()] 2022-11-23T01:37:55.4570091Z [2022-11-23 01:35:50,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:809 2022-11-23T01:37:55.4570360Z [2022-11-23 01:35:50,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST val2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4570626Z [2022-11-23 01:35:50,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:810 2022-11-23T01:37:55.4570931Z [2022-11-23 01:35:50,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index2 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4571194Z [2022-11-23 01:35:50,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:811 2022-11-23T01:37:55.4571516Z [2022-11-23 01:35:50,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4571897Z [2022-11-23 01:35:50,934] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4572295Z [2022-11-23 01:35:50,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:37:55.4572728Z [2022-11-23 01:35:50,935] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)] 2022-11-23T01:37:55.4572995Z [2022-11-23 01:35:50,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:812 2022-11-23T01:37:55.4573346Z [2022-11-23 01:35:50,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4573710Z [2022-11-23 01:35:50,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4574132Z [2022-11-23 01:35:50,936] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4574514Z [2022-11-23 01:35:50,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4574933Z [2022-11-23 01:35:50,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), any)] 2022-11-23T01:37:55.4575394Z [2022-11-23 01:35:50,937] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), any), ConstantVariable(int)] 2022-11-23T01:37:55.4575665Z [2022-11-23 01:35:50,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:813 2022-11-23T01:37:55.4576040Z [2022-11-23 01:35:50,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4576494Z [2022-11-23 01:35:50,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4576945Z [2022-11-23 01:35:50,938] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4577357Z [2022-11-23 01:35:50,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4577804Z [2022-11-23 01:35:50,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), all)] 2022-11-23T01:37:55.4578292Z [2022-11-23 01:35:50,939] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), all), ConstantVariable(int)] 2022-11-23T01:37:55.4578559Z [2022-11-23 01:35:50,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:814 2022-11-23T01:37:55.4579288Z [2022-11-23 01:35:50,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4579753Z [2022-11-23 01:35:50,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4580242Z [2022-11-23 01:35:50,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin)] 2022-11-23T01:37:55.4580770Z [2022-11-23 01:35:50,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin), ConstantVariable(int)] 2022-11-23T01:37:55.4581028Z [2022-11-23 01:35:50,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:815 2022-11-23T01:37:55.4581462Z [2022-11-23 01:35:50,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4581934Z [2022-11-23 01:35:50,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4582443Z [2022-11-23 01:35:50,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax)] 2022-11-23T01:37:55.4582989Z [2022-11-23 01:35:50,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax), ConstantVariable(int)] 2022-11-23T01:37:55.4583258Z [2022-11-23 01:35:50,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:816 2022-11-23T01:37:55.4583788Z [2022-11-23 01:35:50,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4584284Z [2022-11-23 01:35:50,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4584815Z [2022-11-23 01:35:50,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amin)] 2022-11-23T01:37:55.4585382Z [2022-11-23 01:35:50,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amin), ConstantVariable(int)] 2022-11-23T01:37:55.4585654Z [2022-11-23 01:35:50,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:817 2022-11-23T01:37:55.4586176Z [2022-11-23 01:35:50,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4586709Z [2022-11-23 01:35:50,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4587268Z [2022-11-23 01:35:50,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amax)] 2022-11-23T01:37:55.4587866Z [2022-11-23 01:35:50,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amax), ConstantVariable(int)] 2022-11-23T01:37:55.4588474Z [2022-11-23 01:35:50,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 11 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4588733Z [2022-11-23 01:35:50,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.4589070Z [2022-11-23 01:35:50,945] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.4589320Z [2022-11-23 01:35:50,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.4589557Z [2022-11-23 01:35:50,945] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.4589803Z [2022-11-23 01:35:50,947] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.4590059Z [2022-11-23 01:35:50,955] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.4590252Z [2022-11-23 01:35:50,955] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.4590387Z __compiled_fn_408 .3262 opcode, name, target, args, kwargs 2022-11-23T01:37:55.4590515Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.4590655Z call_method, min_1, min, (ex_0_, -1), {} 2022-11-23T01:37:55.4590846Z call_function, getitem, , (min_1, 0), {} 2022-11-23T01:37:55.4591038Z call_function, getitem_1, , (min_1, 1), {} 2022-11-23T01:37:55.4591162Z call_method, max_1, max, (ex_0_, -1), {} 2022-11-23T01:37:55.4591351Z call_function, getitem_2, , (max_1, 0), {} 2022-11-23T01:37:55.4591539Z call_function, getitem_3, , (max_1, 1), {} 2022-11-23T01:37:55.4591673Z call_method, sum_1, sum, (ex_0_, -1), {} 2022-11-23T01:37:55.4591845Z call_function, gt, , (ex_0_, 1), {} 2022-11-23T01:37:55.4591977Z call_method, any_1, any, (gt, -1), {} 2022-11-23T01:37:55.4592150Z call_function, gt_1, , (ex_0_, 0), {} 2022-11-23T01:37:55.4592270Z call_method, all_1, all, (gt_1, -1), {} 2022-11-23T01:37:55.4592420Z call_method, argmin, argmin, (ex_0_, -1), {} 2022-11-23T01:37:55.4592565Z call_method, argmax, argmax, (ex_0_, -1), {} 2022-11-23T01:37:55.4592700Z call_method, amin, amin, (ex_0_, -1), {} 2022-11-23T01:37:55.4592834Z call_method, amax, amax, (ex_0_, -1), {} 2022-11-23T01:37:55.4593017Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3, sum_1, any_1, all_1, argmin, argmax, amin, amax),), {} 2022-11-23T01:37:55.4593025Z 2022-11-23T01:37:55.4593342Z [2022-11-23 01:35:50,956] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4593437Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.4593516Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4593606Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.4593694Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.4593770Z 8 RETURN_VALUE 2022-11-23T01:37:55.4593778Z 2022-11-23T01:37:55.4593838Z 2022-11-23T01:37:55.4594119Z [2022-11-23 01:35:50,956] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4594227Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_408) 2022-11-23T01:37:55.4594317Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4594396Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4594473Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.4594560Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.4594664Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4594765Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4594853Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4594928Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.4595016Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4595103Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.4595183Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.4595282Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4595369Z 26 LOAD_CONST 3 (2) 2022-11-23T01:37:55.4595447Z 28 BINARY_SUBSCR 2022-11-23T01:37:55.4595546Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4595621Z 32 LOAD_CONST 4 (3) 2022-11-23T01:37:55.4595695Z 34 BINARY_SUBSCR 2022-11-23T01:37:55.4595796Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4595880Z 38 LOAD_CONST 5 (4) 2022-11-23T01:37:55.4595957Z 40 BINARY_SUBSCR 2022-11-23T01:37:55.4596056Z 42 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4596142Z 44 LOAD_CONST 6 (5) 2022-11-23T01:37:55.4596205Z 46 BINARY_SUBSCR 2022-11-23T01:37:55.4596299Z 48 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4596417Z 50 LOAD_CONST 7 (6) 2022-11-23T01:37:55.4596490Z 52 BINARY_SUBSCR 2022-11-23T01:37:55.4596588Z 54 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4596675Z 56 LOAD_CONST 8 (7) 2022-11-23T01:37:55.4596749Z 58 BINARY_SUBSCR 2022-11-23T01:37:55.4596834Z 60 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4596919Z 62 LOAD_CONST 9 (8) 2022-11-23T01:37:55.4596994Z 64 BINARY_SUBSCR 2022-11-23T01:37:55.4597092Z 66 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4597177Z 68 LOAD_CONST 10 (9) 2022-11-23T01:37:55.4597250Z 70 BINARY_SUBSCR 2022-11-23T01:37:55.4597347Z 72 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4597433Z 74 LOAD_CONST 11 (10) 2022-11-23T01:37:55.4597498Z 76 BINARY_SUBSCR 2022-11-23T01:37:55.4597586Z 78 BUILD_TUPLE 11 2022-11-23T01:37:55.4597660Z 80 RETURN_VALUE 2022-11-23T01:37:55.4597665Z 2022-11-23T01:37:55.4597726Z 2022-11-23T01:37:55.4597912Z [2022-11-23 01:35:50,957] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.4597983Z - 2022-11-23T01:37:55.4598105Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.4598156Z { 2022-11-23T01:37:55.4598301Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.4598521Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.4598647Z 'obj_weakref': None 2022-11-23T01:37:55.4598873Z 'guarded_class': 2022-11-23T01:37:55.4598936Z } 2022-11-23T01:37:55.4598997Z 2022-11-23T01:37:55.4599056Z - 2022-11-23T01:37:55.4599181Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.4599246Z { 2022-11-23T01:37:55.4599392Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.4599502Z 'code': None, 2022-11-23T01:37:55.4599722Z 'obj_weakref': 2022-11-23T01:37:55.4599978Z 'guarded_class': 2022-11-23T01:37:55.4600029Z } 2022-11-23T01:37:55.4600091Z 2022-11-23T01:37:55.4600159Z - 2022-11-23T01:37:55.4600294Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.4600359Z { 2022-11-23T01:37:55.4600496Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.4600669Z 'code': ['___check_obj_id(model, 140538740289616)'], 2022-11-23T01:37:55.4600776Z 'obj_weakref': None 2022-11-23T01:37:55.4601008Z 'guarded_class': 2022-11-23T01:37:55.4601073Z } 2022-11-23T01:37:55.4601136Z 2022-11-23T01:37:55.4601206Z - 2022-11-23T01:37:55.4601330Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.4601391Z { 2022-11-23T01:37:55.4601515Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.4601734Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.4601855Z 'obj_weakref': None 2022-11-23T01:37:55.4602081Z 'guarded_class': 2022-11-23T01:37:55.4602144Z } 2022-11-23T01:37:55.4602206Z 2022-11-23T01:37:55.4602467Z [2022-11-23 01:35:50,972] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 400 2022-11-23T01:37:55.4602826Z [2022-11-23 01:35:52,579] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/66/c66y4bnilcbi6manw5osgsppnx46b4thviot5w5yypxu26hfnqod.py 2022-11-23T01:37:55.4603127Z [2022-11-23 01:35:52,579] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 400 2022-11-23T01:37:55.4603367Z [2022-11-23 01:35:52,586] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.4603640Z [2022-11-23 01:35:52,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.4603862Z [2022-11-23 01:35:52,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.4604120Z [2022-11-23 01:35:52,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.4604409Z [2022-11-23 01:35:52,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.4604737Z [2022-11-23 01:35:52,586] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.4605066Z [2022-11-23 01:35:52,587] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.4605159Z 804 0 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4605241Z 2 LOAD_METHOD 0 (min) 2022-11-23T01:37:55.4605383Z 4 LOAD_CONST 1 (-1) 2022-11-23T01:37:55.4605471Z 6 CALL_METHOD 1 2022-11-23T01:37:55.4605605Z 8 UNPACK_SEQUENCE 2 2022-11-23T01:37:55.4605702Z 10 STORE_FAST 1 (val1) 2022-11-23T01:37:55.4605798Z 12 STORE_FAST 2 (index1) 2022-11-23T01:37:55.4605804Z 2022-11-23T01:37:55.4605897Z 805 14 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4605977Z 16 LOAD_METHOD 1 (max) 2022-11-23T01:37:55.4606119Z 18 LOAD_CONST 1 (-1) 2022-11-23T01:37:55.4606210Z 20 CALL_METHOD 1 2022-11-23T01:37:55.4606303Z 22 UNPACK_SEQUENCE 2 2022-11-23T01:37:55.4606395Z 24 STORE_FAST 3 (val2) 2022-11-23T01:37:55.4606489Z 26 STORE_FAST 4 (index2) 2022-11-23T01:37:55.4606495Z 2022-11-23T01:37:55.4606587Z 807 28 LOAD_FAST 1 (val1) 2022-11-23T01:37:55.4606592Z 2022-11-23T01:37:55.4606684Z 808 30 LOAD_FAST 2 (index1) 2022-11-23T01:37:55.4606689Z 2022-11-23T01:37:55.4606768Z 809 32 LOAD_FAST 3 (val2) 2022-11-23T01:37:55.4606787Z 2022-11-23T01:37:55.4606866Z 810 34 LOAD_FAST 4 (index2) 2022-11-23T01:37:55.4606871Z 2022-11-23T01:37:55.4606960Z 811 36 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4607054Z 38 LOAD_METHOD 2 (sum) 2022-11-23T01:37:55.4607193Z 40 LOAD_CONST 1 (-1) 2022-11-23T01:37:55.4607285Z 42 CALL_METHOD 1 2022-11-23T01:37:55.4607290Z 2022-11-23T01:37:55.4607378Z 812 44 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4607469Z 46 LOAD_CONST 2 (1) 2022-11-23T01:37:55.4607547Z 48 COMPARE_OP 4 (>) 2022-11-23T01:37:55.4607641Z 50 LOAD_METHOD 3 (any) 2022-11-23T01:37:55.4607779Z 52 LOAD_CONST 1 (-1) 2022-11-23T01:37:55.4607868Z 54 CALL_METHOD 1 2022-11-23T01:37:55.4607874Z 2022-11-23T01:37:55.4607965Z 813 56 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4608054Z 58 LOAD_CONST 3 (0) 2022-11-23T01:37:55.4608143Z 60 COMPARE_OP 4 (>) 2022-11-23T01:37:55.4608235Z 62 LOAD_METHOD 4 (all) 2022-11-23T01:37:55.4608360Z 64 LOAD_CONST 1 (-1) 2022-11-23T01:37:55.4608449Z 66 CALL_METHOD 1 2022-11-23T01:37:55.4608487Z 2022-11-23T01:37:55.4608580Z 814 68 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4608675Z 70 LOAD_METHOD 5 (argmin) 2022-11-23T01:37:55.4608813Z 72 LOAD_CONST 1 (-1) 2022-11-23T01:37:55.4608900Z 74 CALL_METHOD 1 2022-11-23T01:37:55.4608905Z 2022-11-23T01:37:55.4608992Z 815 76 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4609083Z 78 LOAD_METHOD 6 (argmax) 2022-11-23T01:37:55.4609207Z 80 LOAD_CONST 1 (-1) 2022-11-23T01:37:55.4609297Z 82 CALL_METHOD 1 2022-11-23T01:37:55.4609301Z 2022-11-23T01:37:55.4609389Z 816 84 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4609484Z 86 LOAD_METHOD 7 (amin) 2022-11-23T01:37:55.4609622Z 88 LOAD_CONST 1 (-1) 2022-11-23T01:37:55.4609709Z 90 CALL_METHOD 1 2022-11-23T01:37:55.4609716Z 2022-11-23T01:37:55.4609805Z 817 92 LOAD_FAST 0 (x) 2022-11-23T01:37:55.4609886Z 94 LOAD_METHOD 8 (amax) 2022-11-23T01:37:55.4610020Z 96 LOAD_CONST 1 (-1) 2022-11-23T01:37:55.4610109Z 98 CALL_METHOD 1 2022-11-23T01:37:55.4610197Z 100 BUILD_TUPLE 11 2022-11-23T01:37:55.4610275Z 102 RETURN_VALUE 2022-11-23T01:37:55.4610335Z 2022-11-23T01:37:55.4610340Z 2022-11-23T01:37:55.4610645Z [2022-11-23 01:35:52,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:804 2022-11-23T01:37:55.4610865Z [2022-11-23 01:35:52,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.4611100Z [2022-11-23 01:35:52,587] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR min [TensorVariable()] 2022-11-23T01:37:55.4611383Z [2022-11-23 01:35:52,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), min)] 2022-11-23T01:37:55.4611709Z [2022-11-23 01:35:52,588] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), min), ConstantVariable(int)] 2022-11-23T01:37:55.4611973Z [2022-11-23 01:35:52,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNPACK_SEQUENCE 2 [NamedTupleVariable()] 2022-11-23T01:37:55.4612248Z [2022-11-23 01:35:52,589] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST val1 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4612502Z [2022-11-23 01:35:52,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST index1 [TensorVariable()] 2022-11-23T01:37:55.4612775Z [2022-11-23 01:35:52,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:805 2022-11-23T01:37:55.4612985Z [2022-11-23 01:35:52,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.4613228Z [2022-11-23 01:35:52,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR max [TensorVariable()] 2022-11-23T01:37:55.4613509Z [2022-11-23 01:35:52,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [GetAttrVariable(TensorVariable(), max)] 2022-11-23T01:37:55.4613815Z [2022-11-23 01:35:52,590] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), max), ConstantVariable(int)] 2022-11-23T01:37:55.4614075Z [2022-11-23 01:35:52,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE UNPACK_SEQUENCE 2 [NamedTupleVariable()] 2022-11-23T01:37:55.4614353Z [2022-11-23 01:35:52,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST val2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4614603Z [2022-11-23 01:35:52,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST index2 [TensorVariable()] 2022-11-23T01:37:55.4614870Z [2022-11-23 01:35:52,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:807 2022-11-23T01:37:55.4615084Z [2022-11-23 01:35:52,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST val1 [] 2022-11-23T01:37:55.4615384Z [2022-11-23 01:35:52,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:808 2022-11-23T01:37:55.4615637Z [2022-11-23 01:35:52,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index1 [TensorVariable()] 2022-11-23T01:37:55.4615904Z [2022-11-23 01:35:52,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:809 2022-11-23T01:37:55.4616164Z [2022-11-23 01:35:52,591] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST val2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4616431Z [2022-11-23 01:35:52,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:810 2022-11-23T01:37:55.4616733Z [2022-11-23 01:35:52,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index2 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4616996Z [2022-11-23 01:35:52,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:811 2022-11-23T01:37:55.4617318Z [2022-11-23 01:35:52,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4617670Z [2022-11-23 01:35:52,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR sum [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4618096Z [2022-11-23 01:35:52,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), sum)] 2022-11-23T01:37:55.4618532Z [2022-11-23 01:35:52,592] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), sum), ConstantVariable(int)] 2022-11-23T01:37:55.4618981Z [2022-11-23 01:35:52,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:812 2022-11-23T01:37:55.4619430Z [2022-11-23 01:35:52,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4619812Z [2022-11-23 01:35:52,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4620244Z [2022-11-23 01:35:52,593] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4620612Z [2022-11-23 01:35:52,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR any [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4621031Z [2022-11-23 01:35:52,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), any)] 2022-11-23T01:37:55.4621495Z [2022-11-23 01:35:52,594] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), any), ConstantVariable(int)] 2022-11-23T01:37:55.4621763Z [2022-11-23 01:35:52,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:813 2022-11-23T01:37:55.4622141Z [2022-11-23 01:35:52,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4622549Z [2022-11-23 01:35:52,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4623060Z [2022-11-23 01:35:52,595] torch._dynamo.symbolic_convert: [DEBUG] TRACE COMPARE_OP > [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4623469Z [2022-11-23 01:35:52,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR all [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4623921Z [2022-11-23 01:35:52,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), all)] 2022-11-23T01:37:55.4624410Z [2022-11-23 01:35:52,596] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), all), ConstantVariable(int)] 2022-11-23T01:37:55.4624683Z [2022-11-23 01:35:52,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:814 2022-11-23T01:37:55.4625090Z [2022-11-23 01:35:52,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4625573Z [2022-11-23 01:35:52,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4626061Z [2022-11-23 01:35:52,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin)] 2022-11-23T01:37:55.4626583Z [2022-11-23 01:35:52,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmin), ConstantVariable(int)] 2022-11-23T01:37:55.4626853Z [2022-11-23 01:35:52,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:815 2022-11-23T01:37:55.4627288Z [2022-11-23 01:35:52,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4627748Z [2022-11-23 01:35:52,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR argmax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4628320Z [2022-11-23 01:35:52,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax)] 2022-11-23T01:37:55.4628875Z [2022-11-23 01:35:52,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), argmax), ConstantVariable(int)] 2022-11-23T01:37:55.4629147Z [2022-11-23 01:35:52,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:816 2022-11-23T01:37:55.4629612Z [2022-11-23 01:35:52,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4630160Z [2022-11-23 01:35:52,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amin [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4630698Z [2022-11-23 01:35:52,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amin)] 2022-11-23T01:37:55.4631275Z [2022-11-23 01:35:52,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amin), ConstantVariable(int)] 2022-11-23T01:37:55.4631542Z [2022-11-23 01:35:52,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:817 2022-11-23T01:37:55.4632034Z [2022-11-23 01:35:52,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4632589Z [2022-11-23 01:35:52,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR amax [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4633153Z [2022-11-23 01:35:52,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amax)] 2022-11-23T01:37:55.4633759Z [2022-11-23 01:35:52,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), GetAttrVariable(TensorVariable(), amax), ConstantVariable(int)] 2022-11-23T01:37:55.4634279Z [2022-11-23 01:35:52,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 11 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4634532Z [2022-11-23 01:35:52,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.4634866Z [2022-11-23 01:35:52,602] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.4635119Z [2022-11-23 01:35:52,602] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.4635359Z [2022-11-23 01:35:52,602] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.4635616Z [2022-11-23 01:35:52,605] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.4635855Z [2022-11-23 01:35:52,613] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.4636050Z [2022-11-23 01:35:52,613] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.4636191Z __compiled_fn_409 .3268 opcode, name, target, args, kwargs 2022-11-23T01:37:55.4636282Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.4636419Z call_method, min_1, min, (ex_0_, -1), {} 2022-11-23T01:37:55.4636611Z call_function, getitem, , (min_1, 0), {} 2022-11-23T01:37:55.4636803Z call_function, getitem_1, , (min_1, 1), {} 2022-11-23T01:37:55.4636972Z call_method, max_1, max, (ex_0_, -1), {} 2022-11-23T01:37:55.4637150Z call_function, getitem_2, , (max_1, 0), {} 2022-11-23T01:37:55.4637334Z call_function, getitem_3, , (max_1, 1), {} 2022-11-23T01:37:55.4637468Z call_method, sum_1, sum, (ex_0_, -1), {} 2022-11-23T01:37:55.4637636Z call_function, gt, , (ex_0_, 1), {} 2022-11-23T01:37:55.4637767Z call_method, any_1, any, (gt, -1), {} 2022-11-23T01:37:55.4637941Z call_function, gt_1, , (ex_0_, 0), {} 2022-11-23T01:37:55.4638073Z call_method, all_1, all, (gt_1, -1), {} 2022-11-23T01:37:55.4638207Z call_method, argmin, argmin, (ex_0_, -1), {} 2022-11-23T01:37:55.4638351Z call_method, argmax, argmax, (ex_0_, -1), {} 2022-11-23T01:37:55.4638487Z call_method, amin, amin, (ex_0_, -1), {} 2022-11-23T01:37:55.4638620Z call_method, amax, amax, (ex_0_, -1), {} 2022-11-23T01:37:55.4638804Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3, sum_1, any_1, all_1, argmin, argmax, amin, amax),), {} 2022-11-23T01:37:55.4638811Z 2022-11-23T01:37:55.4639094Z [2022-11-23 01:35:52,614] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4639189Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.4639278Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4639358Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.4639475Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.4639554Z 8 RETURN_VALUE 2022-11-23T01:37:55.4639560Z 2022-11-23T01:37:55.4639624Z 2022-11-23T01:37:55.4639903Z [2022-11-23 01:35:52,614] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4640011Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_409) 2022-11-23T01:37:55.4640100Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4640192Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4640256Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.4640344Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.4640446Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4640547Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4640636Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4640713Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.4640815Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4640890Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.4640965Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.4641064Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4641150Z 26 LOAD_CONST 3 (2) 2022-11-23T01:37:55.4641225Z 28 BINARY_SUBSCR 2022-11-23T01:37:55.4641327Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4641414Z 32 LOAD_CONST 4 (3) 2022-11-23T01:37:55.4641477Z 34 BINARY_SUBSCR 2022-11-23T01:37:55.4641579Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4641665Z 38 LOAD_CONST 5 (4) 2022-11-23T01:37:55.4641739Z 40 BINARY_SUBSCR 2022-11-23T01:37:55.4641838Z 42 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4641925Z 44 LOAD_CONST 6 (5) 2022-11-23T01:37:55.4641999Z 46 BINARY_SUBSCR 2022-11-23T01:37:55.4642085Z 48 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4642170Z 50 LOAD_CONST 7 (6) 2022-11-23T01:37:55.4642248Z 52 BINARY_SUBSCR 2022-11-23T01:37:55.4642347Z 54 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4642433Z 56 LOAD_CONST 8 (7) 2022-11-23T01:37:55.4642540Z 58 BINARY_SUBSCR 2022-11-23T01:37:55.4642643Z 60 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4642716Z 62 LOAD_CONST 9 (8) 2022-11-23T01:37:55.4642789Z 64 BINARY_SUBSCR 2022-11-23T01:37:55.4642886Z 66 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4642973Z 68 LOAD_CONST 10 (9) 2022-11-23T01:37:55.4643048Z 70 BINARY_SUBSCR 2022-11-23T01:37:55.4643146Z 72 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4643233Z 74 LOAD_CONST 11 (10) 2022-11-23T01:37:55.4643307Z 76 BINARY_SUBSCR 2022-11-23T01:37:55.4643383Z 78 BUILD_TUPLE 11 2022-11-23T01:37:55.4643458Z 80 RETURN_VALUE 2022-11-23T01:37:55.4643463Z 2022-11-23T01:37:55.4643523Z 2022-11-23T01:37:55.4643712Z [2022-11-23 01:35:52,615] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.4643787Z - 2022-11-23T01:37:55.4643909Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.4643974Z { 2022-11-23T01:37:55.4644107Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.4644297Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.4644422Z 'obj_weakref': None 2022-11-23T01:37:55.4644651Z 'guarded_class': 2022-11-23T01:37:55.4644716Z } 2022-11-23T01:37:55.4644808Z 2022-11-23T01:37:55.4644881Z - 2022-11-23T01:37:55.4644996Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.4645061Z { 2022-11-23T01:37:55.4645204Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.4645312Z 'code': None, 2022-11-23T01:37:55.4645526Z 'obj_weakref': 2022-11-23T01:37:55.4645784Z 'guarded_class': 2022-11-23T01:37:55.4645848Z } 2022-11-23T01:37:55.4645898Z 2022-11-23T01:37:55.4645967Z - 2022-11-23T01:37:55.4646098Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.4646162Z { 2022-11-23T01:37:55.4646299Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.4646471Z 'code': ['___check_obj_id(model, 140538740289616)'], 2022-11-23T01:37:55.4646594Z 'obj_weakref': None 2022-11-23T01:37:55.4646816Z 'guarded_class': 2022-11-23T01:37:55.4646879Z } 2022-11-23T01:37:55.4646943Z 2022-11-23T01:37:55.4647013Z - 2022-11-23T01:37:55.4647136Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.4647200Z { 2022-11-23T01:37:55.4647327Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.4647548Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.4647667Z 'obj_weakref': None 2022-11-23T01:37:55.4647890Z 'guarded_class': 2022-11-23T01:37:55.4647954Z } 2022-11-23T01:37:55.4648015Z 2022-11-23T01:37:55.4648278Z [2022-11-23 01:35:52,631] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 401 2022-11-23T01:37:55.4648286Z 2022-11-23T01:37:55.4648381Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.4648437Z import torch 2022-11-23T01:37:55.4648506Z import random 2022-11-23T01:37:55.4648620Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.4648742Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.4648747Z 2022-11-23T01:37:55.4648822Z aten = torch.ops.aten 2022-11-23T01:37:55.4648955Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.4649120Z async_compile = AsyncCompile() 2022-11-23T01:37:55.4649125Z 2022-11-23T01:37:55.4649129Z 2022-11-23T01:37:55.4649265Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.4649461Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.4649579Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.4649680Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.4649778Z long* __restrict__ out_ptr1, 2022-11-23T01:37:55.4649875Z float* __restrict__ out_ptr2, 2022-11-23T01:37:55.4649969Z long* __restrict__ out_ptr3, 2022-11-23T01:37:55.4650065Z float* __restrict__ out_ptr4, 2022-11-23T01:37:55.4650144Z bool* __restrict__ out_ptr5, 2022-11-23T01:37:55.4650235Z bool* __restrict__ out_ptr6, 2022-11-23T01:37:55.4650329Z long* __restrict__ out_ptr7, 2022-11-23T01:37:55.4650420Z long* __restrict__ out_ptr8, 2022-11-23T01:37:55.4650516Z float* __restrict__ out_ptr9, 2022-11-23T01:37:55.4650615Z float* __restrict__ out_ptr10) 2022-11-23T01:37:55.4650675Z { 2022-11-23T01:37:55.4650750Z #pragma GCC ivdep 2022-11-23T01:37:55.4650819Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.4650879Z { 2022-11-23T01:37:55.4650940Z { 2022-11-23T01:37:55.4651003Z { 2022-11-23T01:37:55.4651132Z auto tmp0 = in_ptr0[3*i0]; 2022-11-23T01:37:55.4651229Z auto tmp1 = in_ptr0[1 + (3*i0)]; 2022-11-23T01:37:55.4651311Z auto tmp3 = in_ptr0[2 + (3*i0)]; 2022-11-23T01:37:55.4651430Z auto tmp2 = std::min(tmp0, tmp1); 2022-11-23T01:37:55.4651530Z auto tmp4 = std::min(tmp2, tmp3); 2022-11-23T01:37:55.4651627Z auto tmp5 = static_cast(0); 2022-11-23T01:37:55.4651727Z auto tmp6 = static_cast(1); 2022-11-23T01:37:55.4651813Z auto tmp7 = tmp1 < tmp0; 2022-11-23T01:37:55.4651906Z auto tmp8 = tmp7 ? tmp6 : tmp5; 2022-11-23T01:37:55.4652000Z auto tmp9 = static_cast(2); 2022-11-23T01:37:55.4652075Z auto tmp10 = tmp3 < tmp2; 2022-11-23T01:37:55.4652167Z auto tmp11 = tmp10 ? tmp9 : tmp8; 2022-11-23T01:37:55.4652266Z auto tmp12 = std::max(tmp0, tmp1); 2022-11-23T01:37:55.4652370Z auto tmp13 = std::max(tmp12, tmp3); 2022-11-23T01:37:55.4652455Z auto tmp14 = tmp1 > tmp0; 2022-11-23T01:37:55.4652547Z auto tmp15 = tmp14 ? tmp6 : tmp5; 2022-11-23T01:37:55.4652633Z auto tmp16 = tmp3 > tmp12; 2022-11-23T01:37:55.4652716Z auto tmp17 = tmp16 ? tmp9 : tmp15; 2022-11-23T01:37:55.4652800Z auto tmp18 = tmp0 + tmp1; 2022-11-23T01:37:55.4652888Z auto tmp19 = tmp18 + tmp3; 2022-11-23T01:37:55.4652989Z auto tmp20 = static_cast(1); 2022-11-23T01:37:55.4653074Z auto tmp21 = tmp0 > tmp20; 2022-11-23T01:37:55.4653178Z auto tmp22 = static_cast(tmp21); 2022-11-23T01:37:55.4653282Z auto tmp23 = static_cast(tmp22); 2022-11-23T01:37:55.4653355Z auto tmp24 = tmp1 > tmp20; 2022-11-23T01:37:55.4653454Z auto tmp25 = static_cast(tmp24); 2022-11-23T01:37:55.4653557Z auto tmp26 = static_cast(tmp25); 2022-11-23T01:37:55.4653647Z auto tmp27 = tmp23 || tmp26; 2022-11-23T01:37:55.4653734Z auto tmp28 = tmp3 > tmp20; 2022-11-23T01:37:55.4653833Z auto tmp29 = static_cast(tmp28); 2022-11-23T01:37:55.4653936Z auto tmp30 = static_cast(tmp29); 2022-11-23T01:37:55.4654013Z auto tmp31 = tmp27 || tmp30; 2022-11-23T01:37:55.4654142Z auto tmp32 = static_cast(0); 2022-11-23T01:37:55.4654228Z auto tmp33 = tmp0 > tmp32; 2022-11-23T01:37:55.4654313Z auto tmp34 = tmp33 == 0; 2022-11-23T01:37:55.4654412Z auto tmp35 = static_cast(tmp34); 2022-11-23T01:37:55.4654512Z auto tmp36 = static_cast(tmp35); 2022-11-23T01:37:55.4654600Z auto tmp37 = tmp1 > tmp32; 2022-11-23T01:37:55.4654690Z auto tmp38 = tmp37 == 0; 2022-11-23T01:37:55.4654778Z auto tmp39 = static_cast(tmp38); 2022-11-23T01:37:55.4654880Z auto tmp40 = static_cast(tmp39); 2022-11-23T01:37:55.4654971Z auto tmp41 = tmp36 || tmp40; 2022-11-23T01:37:55.4655059Z auto tmp42 = tmp3 > tmp32; 2022-11-23T01:37:55.4655145Z auto tmp43 = tmp42 == 0; 2022-11-23T01:37:55.4655248Z auto tmp44 = static_cast(tmp43); 2022-11-23T01:37:55.4655352Z auto tmp45 = static_cast(tmp44); 2022-11-23T01:37:55.4655430Z auto tmp46 = tmp41 || tmp45; 2022-11-23T01:37:55.4655518Z auto tmp47 = tmp46 == 0; 2022-11-23T01:37:55.4655603Z out_ptr0[i0] = tmp4; 2022-11-23T01:37:55.4655686Z out_ptr1[i0] = tmp11; 2022-11-23T01:37:55.4655767Z out_ptr2[i0] = tmp13; 2022-11-23T01:37:55.4655846Z out_ptr3[i0] = tmp17; 2022-11-23T01:37:55.4655924Z out_ptr4[i0] = tmp19; 2022-11-23T01:37:55.4656015Z out_ptr5[i0] = tmp31; 2022-11-23T01:37:55.4656096Z out_ptr6[i0] = tmp47; 2022-11-23T01:37:55.4656174Z out_ptr7[i0] = tmp11; 2022-11-23T01:37:55.4656253Z out_ptr8[i0] = tmp17; 2022-11-23T01:37:55.4656333Z out_ptr9[i0] = tmp4; 2022-11-23T01:37:55.4656416Z out_ptr10[i0] = tmp13; 2022-11-23T01:37:55.4656481Z } 2022-11-23T01:37:55.4656531Z } 2022-11-23T01:37:55.4656595Z } 2022-11-23T01:37:55.4656656Z } 2022-11-23T01:37:55.4656741Z ''') 2022-11-23T01:37:55.4656746Z 2022-11-23T01:37:55.4656750Z 2022-11-23T01:37:55.4656842Z async_compile.wait(globals()) 2022-11-23T01:37:55.4656918Z del async_compile 2022-11-23T01:37:55.4656922Z 2022-11-23T01:37:55.4656994Z def call(args): 2022-11-23T01:37:55.4657052Z arg0_1, = args 2022-11-23T01:37:55.4657124Z args.clear() 2022-11-23T01:37:55.4657324Z buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4657522Z buf1 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.4657719Z buf2 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4657909Z buf3 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.4658100Z buf4 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4658291Z buf5 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:37:55.4658467Z buf6 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:37:55.4658654Z buf7 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.4659032Z buf8 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.4659281Z buf9 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4659480Z buf10 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4659864Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()), c_void_p(buf9.data_ptr()), c_void_p(buf10.data_ptr())) 2022-11-23T01:37:55.4659937Z del arg0_1 2022-11-23T01:37:55.4660070Z return (buf0, buf1, buf2, buf3, buf4, buf5, buf6, buf7, buf8, buf9, buf10, ) 2022-11-23T01:37:55.4660136Z 2022-11-23T01:37:55.4660140Z 2022-11-23T01:37:55.4660221Z if __name__ == "__main__": 2022-11-23T01:37:55.4660325Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.4660451Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.4660652Z arg0_1 = rand_strided((8, 3), (3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4660764Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.4660770Z 2022-11-23T01:37:55.4660775Z 2022-11-23T01:37:55.4660871Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.4660943Z import torch 2022-11-23T01:37:55.4661014Z import random 2022-11-23T01:37:55.4661116Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.4661236Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.4661241Z 2022-11-23T01:37:55.4661318Z aten = torch.ops.aten 2022-11-23T01:37:55.4661451Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.4661546Z async_compile = AsyncCompile() 2022-11-23T01:37:55.4661551Z 2022-11-23T01:37:55.4661555Z 2022-11-23T01:37:55.4661693Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.4661898Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.4662012Z extern "C" void kernel(bool* __restrict__ in_out_ptr0, 2022-11-23T01:37:55.4662116Z const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.4662202Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.4662338Z long* __restrict__ out_ptr1, 2022-11-23T01:37:55.4662436Z float* __restrict__ out_ptr2, 2022-11-23T01:37:55.4662531Z long* __restrict__ out_ptr3, 2022-11-23T01:37:55.4662623Z float* __restrict__ out_ptr4, 2022-11-23T01:37:55.4662713Z bool* __restrict__ out_ptr5, 2022-11-23T01:37:55.4662802Z long* __restrict__ out_ptr7, 2022-11-23T01:37:55.4662883Z long* __restrict__ out_ptr8, 2022-11-23T01:37:55.4662975Z float* __restrict__ out_ptr9, 2022-11-23T01:37:55.4663075Z float* __restrict__ out_ptr10) 2022-11-23T01:37:55.4663134Z { 2022-11-23T01:37:55.4663222Z auto out_ptr6 = in_out_ptr0; 2022-11-23T01:37:55.4663298Z #pragma GCC ivdep 2022-11-23T01:37:55.4663375Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.4663423Z { 2022-11-23T01:37:55.4663485Z { 2022-11-23T01:37:55.4663550Z { 2022-11-23T01:37:55.4663685Z float tmp1 = std::numeric_limits::infinity(); 2022-11-23T01:37:55.4663804Z struct IndexValue_11 {size_t index; float value;}; 2022-11-23T01:37:55.4663940Z IndexValue_11 tmp2{0, std::numeric_limits::infinity()}; 2022-11-23T01:37:55.4664080Z #pragma omp declare reduction(argmin : struct IndexValue_11 :\ 2022-11-23T01:37:55.4664221Z omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\ 2022-11-23T01:37:55.4664367Z omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\ 2022-11-23T01:37:55.4664514Z initializer(omp_priv = {0, std::numeric_limits::infinity()}) 2022-11-23T01:37:55.4664753Z float tmp3 = -std::numeric_limits::infinity(); 2022-11-23T01:37:55.4664870Z struct IndexValue_12 {size_t index; float value;}; 2022-11-23T01:37:55.4665105Z IndexValue_12 tmp4{0, -std::numeric_limits::infinity()}; 2022-11-23T01:37:55.4665245Z #pragma omp declare reduction(argmax : struct IndexValue_12 :\ 2022-11-23T01:37:55.4665390Z omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\ 2022-11-23T01:37:55.4665533Z omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\ 2022-11-23T01:37:55.4665795Z initializer(omp_priv = {0, -std::numeric_limits::infinity()}) 2022-11-23T01:37:55.4665875Z float tmp5 = 0; 2022-11-23T01:37:55.4665952Z bool tmp10 = 0; 2022-11-23T01:37:55.4666027Z bool tmp16 = 0; 2022-11-23T01:37:55.4666145Z struct IndexValue_13 {size_t index; float value;}; 2022-11-23T01:37:55.4666280Z IndexValue_13 tmp17{0, std::numeric_limits::infinity()}; 2022-11-23T01:37:55.4666418Z #pragma omp declare reduction(argmin : struct IndexValue_13 :\ 2022-11-23T01:37:55.4666563Z omp_out.value = omp_in.value > omp_out.value ? omp_out.value : omp_in.value,\ 2022-11-23T01:37:55.4666696Z omp_out.index = omp_in.value > omp_out.value ? omp_out.index : omp_in.index)\ 2022-11-23T01:37:55.4666838Z initializer(omp_priv = {0, std::numeric_limits::infinity()}) 2022-11-23T01:37:55.4666956Z struct IndexValue_14 {size_t index; float value;}; 2022-11-23T01:37:55.4667188Z IndexValue_14 tmp18{0, -std::numeric_limits::infinity()}; 2022-11-23T01:37:55.4667323Z #pragma omp declare reduction(argmax : struct IndexValue_14 :\ 2022-11-23T01:37:55.4667467Z omp_out.value = omp_in.value < omp_out.value ? omp_out.value : omp_in.value,\ 2022-11-23T01:37:55.4667608Z omp_out.index = omp_in.value < omp_out.value ? omp_out.index : omp_in.index)\ 2022-11-23T01:37:55.4667880Z initializer(omp_priv = {0, -std::numeric_limits::infinity()}) 2022-11-23T01:37:55.4668008Z float tmp19 = std::numeric_limits::infinity(); 2022-11-23T01:37:55.4668293Z float tmp20 = -std::numeric_limits::infinity(); 2022-11-23T01:37:55.4668386Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:37:55.4668455Z { 2022-11-23T01:37:55.4668522Z { 2022-11-23T01:37:55.4668625Z auto tmp0 = in_ptr0[i1 + (3*i0)]; 2022-11-23T01:37:55.4668732Z auto tmp6 = static_cast(1); 2022-11-23T01:37:55.4668827Z auto tmp7 = tmp0 > tmp6; 2022-11-23T01:37:55.4668923Z auto tmp8 = static_cast(tmp7); 2022-11-23T01:37:55.4669030Z auto tmp9 = static_cast(tmp8); 2022-11-23T01:37:55.4669135Z auto tmp11 = static_cast(0); 2022-11-23T01:37:55.4669228Z auto tmp12 = tmp0 > tmp11; 2022-11-23T01:37:55.4669322Z auto tmp13 = tmp12 == 0; 2022-11-23T01:37:55.4669431Z auto tmp14 = static_cast(tmp13); 2022-11-23T01:37:55.4669539Z auto tmp15 = static_cast(tmp14); 2022-11-23T01:37:55.4669641Z tmp1 = std::min(tmp1, tmp0); 2022-11-23T01:37:55.4669722Z if (tmp2.value > tmp0) { 2022-11-23T01:37:55.4669832Z tmp2.index = i1; tmp2.value = tmp0; 2022-11-23T01:37:55.4669899Z } 2022-11-23T01:37:55.4669999Z tmp3 = std::max(tmp3, tmp0); 2022-11-23T01:37:55.4670091Z if (tmp4.value < tmp0) { 2022-11-23T01:37:55.4671706Z tmp4.index = i1; tmp4.value = tmp0; 2022-11-23T01:37:55.4671793Z } 2022-11-23T01:37:55.4671878Z tmp5 += tmp0; 2022-11-23T01:37:55.4671968Z tmp10 = tmp10 || tmp9; 2022-11-23T01:37:55.4672047Z tmp16 = tmp16 || tmp15; 2022-11-23T01:37:55.4672141Z if (tmp17.value > tmp0) { 2022-11-23T01:37:55.4672253Z tmp17.index = i1; tmp17.value = tmp0; 2022-11-23T01:37:55.4672322Z } 2022-11-23T01:37:55.4672415Z if (tmp18.value < tmp0) { 2022-11-23T01:37:55.4672526Z tmp18.index = i1; tmp18.value = tmp0; 2022-11-23T01:37:55.4672638Z } 2022-11-23T01:37:55.4672732Z tmp19 = std::min(tmp19, tmp0); 2022-11-23T01:37:55.4672833Z tmp20 = std::max(tmp20, tmp0); 2022-11-23T01:37:55.4672899Z } 2022-11-23T01:37:55.4672963Z } 2022-11-23T01:37:55.4673090Z out_ptr0[i0] = tmp1; 2022-11-23T01:37:55.4673183Z out_ptr1[i0] = tmp2.index; 2022-11-23T01:37:55.4673252Z out_ptr2[i0] = tmp3; 2022-11-23T01:37:55.4673339Z out_ptr3[i0] = tmp4.index; 2022-11-23T01:37:55.4673417Z out_ptr4[i0] = tmp5; 2022-11-23T01:37:55.4673496Z out_ptr5[i0] = tmp10; 2022-11-23T01:37:55.4673573Z out_ptr6[i0] = tmp16; 2022-11-23T01:37:55.4673663Z out_ptr7[i0] = tmp17.index; 2022-11-23T01:37:55.4673753Z out_ptr8[i0] = tmp18.index; 2022-11-23T01:37:55.4673819Z out_ptr9[i0] = tmp19; 2022-11-23T01:37:55.4673904Z out_ptr10[i0] = tmp20; 2022-11-23T01:37:55.4673966Z } 2022-11-23T01:37:55.4674028Z } 2022-11-23T01:37:55.4674090Z } 2022-11-23T01:37:55.4674165Z #pragma GCC ivdep 2022-11-23T01:37:55.4674244Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.4674292Z { 2022-11-23T01:37:55.4674355Z { 2022-11-23T01:37:55.4674419Z { 2022-11-23T01:37:55.4674506Z auto tmp0 = out_ptr6[i0]; 2022-11-23T01:37:55.4674588Z auto tmp1 = tmp0 == 0; 2022-11-23T01:37:55.4674670Z in_out_ptr0[i0] = tmp1; 2022-11-23T01:37:55.4674733Z } 2022-11-23T01:37:55.4674783Z } 2022-11-23T01:37:55.4674843Z } 2022-11-23T01:37:55.4674902Z } 2022-11-23T01:37:55.4675005Z ''') 2022-11-23T01:37:55.4675012Z 2022-11-23T01:37:55.4675016Z 2022-11-23T01:37:55.4675106Z async_compile.wait(globals()) 2022-11-23T01:37:55.4675178Z del async_compile 2022-11-23T01:37:55.4675186Z 2022-11-23T01:37:55.4675257Z def call(args): 2022-11-23T01:37:55.4675314Z arg0_1, = args 2022-11-23T01:37:55.4675383Z args.clear() 2022-11-23T01:37:55.4675584Z buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4675778Z buf1 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.4675973Z buf2 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4676163Z buf3 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.4676351Z buf4 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4676526Z buf5 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:37:55.4676711Z buf6 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:37:55.4676896Z buf7 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.4677084Z buf8 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.4677277Z buf9 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4677472Z buf10 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4677556Z buf11 = buf6; del buf6 # reuse 2022-11-23T01:37:55.4677980Z kernel_cpp_0(c_void_p(buf11.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf5.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()), c_void_p(buf9.data_ptr()), c_void_p(buf10.data_ptr())) 2022-11-23T01:37:55.4678053Z del arg0_1 2022-11-23T01:37:55.4678171Z return (buf0, buf1, buf2, buf3, buf4, buf5, buf11, buf7, buf8, buf9, buf10, ) 2022-11-23T01:37:55.4678188Z 2022-11-23T01:37:55.4678193Z 2022-11-23T01:37:55.4678259Z if __name__ == "__main__": 2022-11-23T01:37:55.4678374Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.4678526Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.4678725Z arg0_1 = rand_strided((8, 3), (3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4678833Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.4679217Z [2022-11-23 01:35:54,203] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ka/ckaduggcvklnmwx5gkl5haiaqpalhfzq4js3fo2npsxdg5y2k3l5.py 2022-11-23T01:37:55.4679488Z [2022-11-23 01:35:54,203] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 401 2022-11-23T01:37:55.4679494Z 2022-11-23T01:37:55.4679559Z ok (3.280s) 2022-11-23T01:37:55.4679685Z test_unspec_inputs_cpu (__main__.CpuTests) ... skip: requires cuda (0.001s) 2022-11-23T01:37:55.4679994Z test_unsqueeze_cpu (__main__.CpuTests) ... [2022-11-23 01:35:54,212] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.4680263Z [2022-11-23 01:35:54,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.4680488Z [2022-11-23 01:35:54,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.4680745Z [2022-11-23 01:35:54,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.4681037Z [2022-11-23 01:35:54,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.4681363Z [2022-11-23 01:35:54,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.4681692Z [2022-11-23 01:35:54,213] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.4681790Z 1295 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.4681877Z 2 LOAD_METHOD 1 (unsqueeze) 2022-11-23T01:37:55.4681970Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.4682058Z 6 LOAD_CONST 1 (1) 2022-11-23T01:37:55.4682131Z 8 BINARY_ADD 2022-11-23T01:37:55.4682269Z 10 LOAD_CONST 2 (-1) 2022-11-23T01:37:55.4682357Z 12 CALL_METHOD 2 2022-11-23T01:37:55.4682446Z 14 LOAD_CONST 3 (2) 2022-11-23T01:37:55.4682507Z 16 BINARY_ADD 2022-11-23T01:37:55.4682523Z 2022-11-23T01:37:55.4682604Z 1296 18 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.4682699Z 20 LOAD_METHOD 1 (unsqueeze) 2022-11-23T01:37:55.4682788Z 22 LOAD_FAST 0 (a) 2022-11-23T01:37:55.4682874Z 24 LOAD_CONST 3 (2) 2022-11-23T01:37:55.4682959Z 26 CALL_METHOD 2 2022-11-23T01:37:55.4683044Z 28 LOAD_CONST 3 (2) 2022-11-23T01:37:55.4683119Z 30 BINARY_ADD 2022-11-23T01:37:55.4683124Z 2022-11-23T01:37:55.4683204Z 1297 32 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.4683300Z 34 LOAD_METHOD 1 (unsqueeze) 2022-11-23T01:37:55.4683386Z 36 LOAD_FAST 0 (a) 2022-11-23T01:37:55.4683512Z 38 LOAD_CONST 1 (1) 2022-11-23T01:37:55.4683587Z 40 BINARY_ADD 2022-11-23T01:37:55.4683673Z 42 LOAD_CONST 4 (0) 2022-11-23T01:37:55.4683760Z 44 CALL_METHOD 2 2022-11-23T01:37:55.4683834Z 46 LOAD_CONST 3 (2) 2022-11-23T01:37:55.4683904Z 48 BINARY_ADD 2022-11-23T01:37:55.4683909Z 2022-11-23T01:37:55.4684001Z 1298 50 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.4684098Z 52 LOAD_METHOD 1 (unsqueeze) 2022-11-23T01:37:55.4684183Z 54 LOAD_FAST 0 (a) 2022-11-23T01:37:55.4684354Z 56 LOAD_CONST 5 (-2) 2022-11-23T01:37:55.4684442Z 58 CALL_METHOD 2 2022-11-23T01:37:55.4684526Z 60 LOAD_CONST 3 (2) 2022-11-23T01:37:55.4684584Z 62 BINARY_ADD 2022-11-23T01:37:55.4684673Z 64 BUILD_TUPLE 4 2022-11-23T01:37:55.4684753Z 66 RETURN_VALUE 2022-11-23T01:37:55.4684814Z 2022-11-23T01:37:55.4684819Z 2022-11-23T01:37:55.4685095Z [2022-11-23 01:35:54,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1295 2022-11-23T01:37:55.4685320Z [2022-11-23 01:35:54,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.4685699Z [2022-11-23 01:35:54,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [TorchVariable()] 2022-11-23T01:37:55.4686032Z [2022-11-23 01:35:54,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable()] 2022-11-23T01:37:55.4686381Z [2022-11-23 01:35:54,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.4686791Z [2022-11-23 01:35:54,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4687149Z [2022-11-23 01:35:54,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.4687547Z [2022-11-23 01:35:54,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4687794Z [2022-11-23 01:35:54,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:37:55.4688076Z [2022-11-23 01:35:54,216] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4688354Z [2022-11-23 01:35:54,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1296 2022-11-23T01:37:55.4688602Z [2022-11-23 01:35:54,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:37:55.4689008Z [2022-11-23 01:35:54,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.4689364Z [2022-11-23 01:35:54,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.4689750Z [2022-11-23 01:35:54,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.4690221Z [2022-11-23 01:35:54,217] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4690490Z [2022-11-23 01:35:54,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4690792Z [2022-11-23 01:35:54,218] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4691064Z [2022-11-23 01:35:54,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1297 2022-11-23T01:37:55.4691340Z [2022-11-23 01:35:54,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4691819Z [2022-11-23 01:35:54,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.4692203Z [2022-11-23 01:35:54,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.4692614Z [2022-11-23 01:35:54,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.4693070Z [2022-11-23 01:35:54,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4693493Z [2022-11-23 01:35:54,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.4693955Z [2022-11-23 01:35:54,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4694258Z [2022-11-23 01:35:54,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4694598Z [2022-11-23 01:35:54,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4694870Z [2022-11-23 01:35:54,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1298 2022-11-23T01:37:55.4695180Z [2022-11-23 01:35:54,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4695629Z [2022-11-23 01:35:54,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.4696041Z [2022-11-23 01:35:54,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.4696488Z [2022-11-23 01:35:54,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.4696980Z [2022-11-23 01:35:54,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4697334Z [2022-11-23 01:35:54,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4697705Z [2022-11-23 01:35:54,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4698033Z [2022-11-23 01:35:54,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4698283Z [2022-11-23 01:35:54,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.4698651Z [2022-11-23 01:35:54,225] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.4699142Z [2022-11-23 01:35:54,225] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.4699398Z [2022-11-23 01:35:54,225] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.4699657Z [2022-11-23 01:35:54,227] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.4699896Z [2022-11-23 01:35:54,233] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.4700088Z [2022-11-23 01:35:54,234] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.4700224Z __compiled_fn_410 .3274 opcode, name, target, args, kwargs 2022-11-23T01:37:55.4700315Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.4700494Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:55.4700746Z call_function, unsqueeze, , (add, -1), {} 2022-11-23T01:37:55.4700937Z call_function, add_1, , (unsqueeze, 2), {} 2022-11-23T01:37:55.4701193Z call_function, unsqueeze_1, , (ex_0_, 2), {} 2022-11-23T01:37:55.4701370Z call_function, add_2, , (unsqueeze_1, 2), {} 2022-11-23T01:37:55.4701547Z call_function, add_3, , (ex_0_, 1), {} 2022-11-23T01:37:55.4701798Z call_function, unsqueeze_2, , (add_3, 0), {} 2022-11-23T01:37:55.4701989Z call_function, add_4, , (unsqueeze_2, 2), {} 2022-11-23T01:37:55.4702244Z call_function, unsqueeze_3, , (ex_0_, -2), {} 2022-11-23T01:37:55.4702433Z call_function, add_5, , (unsqueeze_3, 2), {} 2022-11-23T01:37:55.4702556Z output, output, output, ((add_1, add_2, add_4, add_5),), {} 2022-11-23T01:37:55.4702563Z 2022-11-23T01:37:55.4702850Z [2022-11-23 01:35:54,234] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4702950Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.4703030Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4703125Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.4703217Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.4703295Z 8 RETURN_VALUE 2022-11-23T01:37:55.4703300Z 2022-11-23T01:37:55.4703364Z 2022-11-23T01:37:55.4703640Z [2022-11-23 01:35:54,234] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4703752Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_410) 2022-11-23T01:37:55.4703847Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4703925Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4704004Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.4704094Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.4704198Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4704366Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4704457Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4704537Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.4704626Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4704716Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.4704792Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.4704892Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4704982Z 26 LOAD_CONST 3 (2) 2022-11-23T01:37:55.4705056Z 28 BINARY_SUBSCR 2022-11-23T01:37:55.4705196Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4705272Z 32 LOAD_CONST 4 (3) 2022-11-23T01:37:55.4705348Z 34 BINARY_SUBSCR 2022-11-23T01:37:55.4705437Z 36 BUILD_TUPLE 4 2022-11-23T01:37:55.4705514Z 38 RETURN_VALUE 2022-11-23T01:37:55.4705519Z 2022-11-23T01:37:55.4705582Z 2022-11-23T01:37:55.4705773Z [2022-11-23 01:35:54,235] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.4705848Z - 2022-11-23T01:37:55.4705957Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.4706023Z { 2022-11-23T01:37:55.4706168Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.4706360Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.4706482Z 'obj_weakref': None 2022-11-23T01:37:55.4706712Z 'guarded_class': 2022-11-23T01:37:55.4706781Z } 2022-11-23T01:37:55.4706831Z 2022-11-23T01:37:55.4706903Z - 2022-11-23T01:37:55.4707030Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.4707095Z { 2022-11-23T01:37:55.4707242Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.4707353Z 'code': None, 2022-11-23T01:37:55.4707573Z 'obj_weakref': 2022-11-23T01:37:55.4707821Z 'guarded_class': 2022-11-23T01:37:55.4707886Z } 2022-11-23T01:37:55.4707950Z 2022-11-23T01:37:55.4708021Z - 2022-11-23T01:37:55.4708240Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.4708307Z { 2022-11-23T01:37:55.4708449Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.4708608Z 'code': ['___check_obj_id(model, 140538741558448)'], 2022-11-23T01:37:55.4708733Z 'obj_weakref': None 2022-11-23T01:37:55.4708967Z 'guarded_class': 2022-11-23T01:37:55.4709032Z } 2022-11-23T01:37:55.4709095Z 2022-11-23T01:37:55.4709169Z - 2022-11-23T01:37:55.4709295Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.4709346Z { 2022-11-23T01:37:55.4709484Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.4709703Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.4709826Z 'obj_weakref': None 2022-11-23T01:37:55.4710050Z 'guarded_class': 2022-11-23T01:37:55.4710114Z } 2022-11-23T01:37:55.4710178Z 2022-11-23T01:37:55.4710234Z - 2022-11-23T01:37:55.4710369Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.4710434Z { 2022-11-23T01:37:55.4710561Z 'guard_types': None, 2022-11-23T01:37:55.4710670Z 'code': None, 2022-11-23T01:37:55.4710789Z 'obj_weakref': None 2022-11-23T01:37:55.4710911Z 'guarded_class': None 2022-11-23T01:37:55.4710960Z } 2022-11-23T01:37:55.4711021Z 2022-11-23T01:37:55.4711324Z [2022-11-23 01:35:54,249] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 402 2022-11-23T01:37:55.4711703Z [2022-11-23 01:35:55,697] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hi/chiij5brph4ig7knnzfg5ylkmdxxslf7vz7hgmgazczzvhk3tkks.py 2022-11-23T01:37:55.4711973Z [2022-11-23 01:35:55,698] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 402 2022-11-23T01:37:55.4711979Z 2022-11-23T01:37:55.4712072Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.4712141Z import torch 2022-11-23T01:37:55.4712245Z import random 2022-11-23T01:37:55.4712350Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.4712475Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.4712480Z 2022-11-23T01:37:55.4712559Z aten = torch.ops.aten 2022-11-23T01:37:55.4712693Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.4712787Z async_compile = AsyncCompile() 2022-11-23T01:37:55.4712792Z 2022-11-23T01:37:55.4712796Z 2022-11-23T01:37:55.4712932Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.4713140Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.4713259Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.4713348Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.4713445Z float* __restrict__ out_ptr1, 2022-11-23T01:37:55.4713539Z float* __restrict__ out_ptr2, 2022-11-23T01:37:55.4713631Z float* __restrict__ out_ptr3) 2022-11-23T01:37:55.4713694Z { 2022-11-23T01:37:55.4713773Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:55.4713832Z { 2022-11-23T01:37:55.4713962Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.4714093Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:55.4714179Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.4714305Z auto tmp3 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:37:55.4714387Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.4714466Z auto tmp5 = tmp0 + tmp3; 2022-11-23T01:37:55.4714554Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.4714625Z tmp5.store(out_ptr1 + 8*i0); 2022-11-23T01:37:55.4714709Z tmp4.store(out_ptr2 + 8*i0); 2022-11-23T01:37:55.4714792Z tmp5.store(out_ptr3 + 8*i0); 2022-11-23T01:37:55.4714851Z } 2022-11-23T01:37:55.4714938Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.4715020Z for(long i0=16; i0<16; i0+=1) 2022-11-23T01:37:55.4715080Z { 2022-11-23T01:37:55.4715147Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.4715241Z auto tmp1 = static_cast(1); 2022-11-23T01:37:55.4715321Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.4715416Z auto tmp3 = static_cast(2); 2022-11-23T01:37:55.4715498Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.4715576Z auto tmp5 = tmp0 + tmp3; 2022-11-23T01:37:55.4715657Z out_ptr0[i0] = tmp4; 2022-11-23T01:37:55.4715720Z out_ptr1[i0] = tmp5; 2022-11-23T01:37:55.4715794Z out_ptr2[i0] = tmp4; 2022-11-23T01:37:55.4715867Z out_ptr3[i0] = tmp5; 2022-11-23T01:37:55.4715927Z } 2022-11-23T01:37:55.4715984Z } 2022-11-23T01:37:55.4716064Z ''') 2022-11-23T01:37:55.4716069Z 2022-11-23T01:37:55.4716073Z 2022-11-23T01:37:55.4716161Z async_compile.wait(globals()) 2022-11-23T01:37:55.4716219Z del async_compile 2022-11-23T01:37:55.4716224Z 2022-11-23T01:37:55.4716294Z def call(args): 2022-11-23T01:37:55.4716361Z arg0_1, = args 2022-11-23T01:37:55.4716431Z args.clear() 2022-11-23T01:37:55.4716651Z buf0 = empty_strided((2, 2, 2, 2, 1), (8, 4, 2, 1, 16), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4716868Z buf1 = empty_strided((2, 2, 1, 2, 2), (8, 4, 16, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4717120Z buf2 = empty_strided((1, 2, 2, 2, 2), (16, 8, 4, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4717338Z buf3 = empty_strided((2, 2, 2, 1, 2), (8, 4, 2, 16, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4717540Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr())) 2022-11-23T01:37:55.4717610Z del arg0_1 2022-11-23T01:37:55.4717698Z return (buf0, buf1, buf2, buf3, ) 2022-11-23T01:37:55.4717703Z 2022-11-23T01:37:55.4717707Z 2022-11-23T01:37:55.4717782Z if __name__ == "__main__": 2022-11-23T01:37:55.4717930Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.4718053Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.4718265Z arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4718375Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.4718382Z 2022-11-23T01:37:55.4718437Z ok (1.493s) 2022-11-23T01:37:55.4718765Z test_unsqueeze_inplace_cpu (__main__.CpuTests) ... [2022-11-23 01:35:55,706] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.4719042Z [2022-11-23 01:35:55,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.4719263Z [2022-11-23 01:35:55,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.4719519Z [2022-11-23 01:35:55,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.4719809Z [2022-11-23 01:35:55,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.4720136Z [2022-11-23 01:35:55,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.4720471Z [2022-11-23 01:35:55,706] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.4720564Z 1315 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.4720643Z 2 LOAD_CONST 1 (1) 2022-11-23T01:37:55.4720716Z 4 BINARY_ADD 2022-11-23T01:37:55.4720809Z 6 STORE_FAST 1 (tmp1) 2022-11-23T01:37:55.4720814Z 2022-11-23T01:37:55.4720904Z 1316 8 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.4721006Z 10 LOAD_METHOD 1 (unsqueeze_) 2022-11-23T01:37:55.4721098Z 12 LOAD_FAST 1 (tmp1) 2022-11-23T01:37:55.4721187Z 14 LOAD_CONST 2 (2) 2022-11-23T01:37:55.4721273Z 16 CALL_METHOD 2 2022-11-23T01:37:55.4721337Z 18 POP_TOP 2022-11-23T01:37:55.4721342Z 2022-11-23T01:37:55.4721434Z 1317 20 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.4721534Z 22 LOAD_METHOD 1 (unsqueeze_) 2022-11-23T01:37:55.4721622Z 24 LOAD_FAST 0 (a) 2022-11-23T01:37:55.4721709Z 26 LOAD_CONST 1 (1) 2022-11-23T01:37:55.4721781Z 28 BINARY_ADD 2022-11-23T01:37:55.4721867Z 30 LOAD_CONST 3 (0) 2022-11-23T01:37:55.4721941Z 32 CALL_METHOD 2 2022-11-23T01:37:55.4722026Z 34 LOAD_CONST 2 (2) 2022-11-23T01:37:55.4722097Z 36 BINARY_ADD 2022-11-23T01:37:55.4722189Z 38 STORE_FAST 2 (tmp2) 2022-11-23T01:37:55.4722196Z 2022-11-23T01:37:55.4722284Z 1318 40 LOAD_FAST 1 (tmp1) 2022-11-23T01:37:55.4722368Z 42 LOAD_FAST 2 (tmp2) 2022-11-23T01:37:55.4722458Z 44 BUILD_TUPLE 2 2022-11-23T01:37:55.4722532Z 46 RETURN_VALUE 2022-11-23T01:37:55.4722610Z 2022-11-23T01:37:55.4722616Z 2022-11-23T01:37:55.4722892Z [2022-11-23 01:35:55,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1315 2022-11-23T01:37:55.4723105Z [2022-11-23 01:35:55,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.4723352Z [2022-11-23 01:35:55,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:37:55.4723635Z [2022-11-23 01:35:55,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4723884Z [2022-11-23 01:35:55,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp1 [TensorVariable()] 2022-11-23T01:37:55.4724188Z [2022-11-23 01:35:55,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1316 2022-11-23T01:37:55.4724407Z [2022-11-23 01:35:55,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.4724727Z [2022-11-23 01:35:55,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze_ [TorchVariable()] 2022-11-23T01:37:55.4724981Z [2022-11-23 01:35:55,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp1 [TorchVariable(aten.unsqueeze_)] 2022-11-23T01:37:55.4725271Z [2022-11-23 01:35:55,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TorchVariable(aten.unsqueeze_), TensorVariable()] 2022-11-23T01:37:55.4725611Z [2022-11-23 01:35:55,714] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.unsqueeze_), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4725859Z [2022-11-23 01:35:55,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE POP_TOP None [TensorVariable()] 2022-11-23T01:37:55.4726129Z [2022-11-23 01:35:55,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1317 2022-11-23T01:37:55.4726352Z [2022-11-23 01:35:55,715] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.4726668Z [2022-11-23 01:35:55,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR unsqueeze_ [TorchVariable()] 2022-11-23T01:37:55.4726933Z [2022-11-23 01:35:55,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.unsqueeze_)] 2022-11-23T01:37:55.4727225Z [2022-11-23 01:35:55,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.unsqueeze_), TensorVariable()] 2022-11-23T01:37:55.4727561Z [2022-11-23 01:35:55,721] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TorchVariable(aten.unsqueeze_), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4727842Z [2022-11-23 01:35:55,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 0 [TorchVariable(aten.unsqueeze_), TensorVariable()] 2022-11-23T01:37:55.4728177Z [2022-11-23 01:35:55,722] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.unsqueeze_), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4728420Z [2022-11-23 01:35:55,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:37:55.4728703Z [2022-11-23 01:35:55,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4728950Z [2022-11-23 01:35:55,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST tmp2 [TensorVariable()] 2022-11-23T01:37:55.4729218Z [2022-11-23 01:35:55,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:1318 2022-11-23T01:37:55.4729439Z [2022-11-23 01:35:55,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp1 [] 2022-11-23T01:37:55.4729686Z [2022-11-23 01:35:55,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST tmp2 [TensorVariable()] 2022-11-23T01:37:55.4729995Z [2022-11-23 01:35:55,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4730233Z [2022-11-23 01:35:55,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.4730568Z [2022-11-23 01:35:55,724] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.4730815Z [2022-11-23 01:35:55,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.4731049Z [2022-11-23 01:35:55,724] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.4731340Z [2022-11-23 01:35:55,725] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.4731595Z [2022-11-23 01:35:55,730] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.4731786Z [2022-11-23 01:35:55,730] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.4731925Z __compiled_fn_411 .3280 opcode, name, target, args, kwargs 2022-11-23T01:37:55.4732016Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.4732177Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:55.4732298Z call_function, unsqueeze_, aten.unsqueeze_, (add, 2), {} 2022-11-23T01:37:55.4732475Z call_function, add_1, , (ex_0_, 1), {} 2022-11-23T01:37:55.4732597Z call_function, unsqueeze__1, aten.unsqueeze_, (add_1, 0), {} 2022-11-23T01:37:55.4732787Z call_function, add_2, , (unsqueeze__1, 2), {} 2022-11-23T01:37:55.4732889Z output, output, output, ((add, add_2),), {} 2022-11-23T01:37:55.4732897Z 2022-11-23T01:37:55.4733180Z [2022-11-23 01:35:55,731] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4733273Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.4733351Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4733447Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.4733536Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.4733613Z 8 RETURN_VALUE 2022-11-23T01:37:55.4733618Z 2022-11-23T01:37:55.4733678Z 2022-11-23T01:37:55.4733956Z [2022-11-23 01:35:55,731] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4734065Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_411) 2022-11-23T01:37:55.4734154Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4734229Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4734308Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.4734396Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.4734497Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4734598Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4734688Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4734764Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.4734853Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4734940Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.4735014Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.4735102Z 24 BUILD_TUPLE 2 2022-11-23T01:37:55.4735176Z 26 RETURN_VALUE 2022-11-23T01:37:55.4735181Z 2022-11-23T01:37:55.4735239Z 2022-11-23T01:37:55.4735426Z [2022-11-23 01:35:55,732] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.4735487Z - 2022-11-23T01:37:55.4735611Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.4735675Z { 2022-11-23T01:37:55.4735816Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.4736004Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.4736126Z 'obj_weakref': None 2022-11-23T01:37:55.4736392Z 'guarded_class': 2022-11-23T01:37:55.4736447Z } 2022-11-23T01:37:55.4736509Z 2022-11-23T01:37:55.4736581Z - 2022-11-23T01:37:55.4736708Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.4736770Z { 2022-11-23T01:37:55.4736917Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.4737027Z 'code': None, 2022-11-23T01:37:55.4737230Z 'obj_weakref': 2022-11-23T01:37:55.4737487Z 'guarded_class': 2022-11-23T01:37:55.4737602Z } 2022-11-23T01:37:55.4737663Z 2022-11-23T01:37:55.4737735Z - 2022-11-23T01:37:55.4737867Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.4737928Z { 2022-11-23T01:37:55.4738052Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.4738225Z 'code': ['___check_obj_id(model, 140538747252464)'], 2022-11-23T01:37:55.4738346Z 'obj_weakref': None 2022-11-23T01:37:55.4738579Z 'guarded_class': 2022-11-23T01:37:55.4738641Z } 2022-11-23T01:37:55.4738701Z 2022-11-23T01:37:55.4738942Z - 2022-11-23T01:37:55.4739123Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.4739210Z { 2022-11-23T01:37:55.4739356Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.4739577Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.4739702Z 'obj_weakref': None 2022-11-23T01:37:55.4739925Z 'guarded_class': 2022-11-23T01:37:55.4739990Z } 2022-11-23T01:37:55.4740040Z 2022-11-23T01:37:55.4740113Z - 2022-11-23T01:37:55.4740248Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.4740311Z { 2022-11-23T01:37:55.4740432Z 'guard_types': None, 2022-11-23T01:37:55.4740543Z 'code': None, 2022-11-23T01:37:55.4740666Z 'obj_weakref': None 2022-11-23T01:37:55.4740775Z 'guarded_class': None 2022-11-23T01:37:55.4740839Z } 2022-11-23T01:37:55.4740907Z 2022-11-23T01:37:55.4741170Z [2022-11-23 01:35:55,740] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 403 2022-11-23T01:37:55.4741539Z [2022-11-23 01:35:57,144] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tt/ctt2dz734e2cvo757rslthywd4wjxudnpeavtrw3jml763evutzn.py 2022-11-23T01:37:55.4741814Z [2022-11-23 01:35:57,145] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 403 2022-11-23T01:37:55.4741819Z 2022-11-23T01:37:55.4741918Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.4741990Z import torch 2022-11-23T01:37:55.4742048Z import random 2022-11-23T01:37:55.4742165Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.4742288Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.4742293Z 2022-11-23T01:37:55.4742373Z aten = torch.ops.aten 2022-11-23T01:37:55.4742508Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.4742603Z async_compile = AsyncCompile() 2022-11-23T01:37:55.4742608Z 2022-11-23T01:37:55.4742612Z 2022-11-23T01:37:55.4742750Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.4742961Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.4743068Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.4743171Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.4743276Z float* __restrict__ out_ptr1) 2022-11-23T01:37:55.4743339Z { 2022-11-23T01:37:55.4743479Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:55.4743546Z { 2022-11-23T01:37:55.4743693Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.4743814Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:55.4743900Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.4744029Z auto tmp3 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:37:55.4744112Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.4744201Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.4744288Z tmp4.store(out_ptr1 + 8*i0); 2022-11-23T01:37:55.4744430Z } 2022-11-23T01:37:55.4744507Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.4744590Z for(long i0=16; i0<16; i0+=1) 2022-11-23T01:37:55.4744652Z { 2022-11-23T01:37:55.4744735Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.4744833Z auto tmp1 = static_cast(1); 2022-11-23T01:37:55.4744917Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.4745016Z auto tmp3 = static_cast(2); 2022-11-23T01:37:55.4745085Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.4745163Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.4745240Z out_ptr1[i0] = tmp4; 2022-11-23T01:37:55.4745301Z } 2022-11-23T01:37:55.4745363Z } 2022-11-23T01:37:55.4745450Z ''') 2022-11-23T01:37:55.4745456Z 2022-11-23T01:37:55.4745460Z 2022-11-23T01:37:55.4745552Z async_compile.wait(globals()) 2022-11-23T01:37:55.4745611Z del async_compile 2022-11-23T01:37:55.4745616Z 2022-11-23T01:37:55.4745686Z def call(args): 2022-11-23T01:37:55.4745756Z arg0_1, = args 2022-11-23T01:37:55.4745831Z args.clear() 2022-11-23T01:37:55.4746045Z buf0 = empty_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4746266Z buf1 = empty_strided((1, 2, 2, 2, 2), (16, 8, 4, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4746438Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:55.4746509Z del arg0_1 2022-11-23T01:37:55.4746610Z return (as_strided(buf0, (2, 2, 1, 2, 2), (8, 4, 0, 2, 1)), buf1, ) 2022-11-23T01:37:55.4746615Z 2022-11-23T01:37:55.4746619Z 2022-11-23T01:37:55.4746698Z if __name__ == "__main__": 2022-11-23T01:37:55.4746812Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.4746937Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.4747151Z arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4747259Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.4747267Z 2022-11-23T01:37:55.4747333Z ok (1.446s) 2022-11-23T01:37:55.4747665Z test_upsample_bicubic2d_cpu (__main__.CpuTests) ... [2022-11-23 01:35:57,159] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.4747928Z [2022-11-23 01:35:57,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.4748251Z [2022-11-23 01:35:57,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.4748519Z [2022-11-23 01:35:57,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.4748808Z [2022-11-23 01:35:57,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.4749134Z [2022-11-23 01:35:57,159] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.4749472Z [2022-11-23 01:35:57,160] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.4749569Z 3076 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.4749681Z 2 LOAD_METHOD 1 (upsample_bicubic2d) 2022-11-23T01:37:55.4749809Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.4749896Z 6 LOAD_CONST 1 ((128, 128)) 2022-11-23T01:37:55.4749989Z 8 LOAD_CONST 2 (True) 2022-11-23T01:37:55.4750077Z 10 CALL_METHOD 3 2022-11-23T01:37:55.4750082Z 2022-11-23T01:37:55.4750174Z 3077 12 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.4750285Z 14 LOAD_METHOD 1 (upsample_bicubic2d) 2022-11-23T01:37:55.4750374Z 16 LOAD_FAST 0 (a) 2022-11-23T01:37:55.4750469Z 18 LOAD_CONST 3 ((128, 256)) 2022-11-23T01:37:55.4750593Z 20 LOAD_CONST 4 (False) 2022-11-23T01:37:55.4750668Z 22 CALL_METHOD 3 2022-11-23T01:37:55.4750756Z 24 BUILD_TUPLE 2 2022-11-23T01:37:55.4750832Z 26 RETURN_VALUE 2022-11-23T01:37:55.4750892Z 2022-11-23T01:37:55.4750897Z 2022-11-23T01:37:55.4751173Z [2022-11-23 01:35:57,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3076 2022-11-23T01:37:55.4751393Z [2022-11-23 01:35:57,160] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.4751724Z [2022-11-23 01:35:57,165] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_bicubic2d [TorchVariable()] 2022-11-23T01:37:55.4752001Z [2022-11-23 01:35:57,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_bicubic2d)] 2022-11-23T01:37:55.4752307Z [2022-11-23 01:35:57,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (128, 128) [TorchVariable(aten.upsample_bicubic2d), TensorVariable()] 2022-11-23T01:37:55.4752658Z [2022-11-23 01:35:57,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.upsample_bicubic2d), TensorVariable(), ConstantVariable(tuple)] 2022-11-23T01:37:55.4753050Z [2022-11-23 01:35:57,166] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.upsample_bicubic2d), TensorVariable(), ConstantVariable(tuple), ConstantVariable(bool)] 2022-11-23T01:37:55.4753320Z [2022-11-23 01:35:57,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3077 2022-11-23T01:37:55.4753571Z [2022-11-23 01:35:57,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:55.4753931Z [2022-11-23 01:35:57,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_bicubic2d [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.4754240Z [2022-11-23 01:35:57,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_bicubic2d)] 2022-11-23T01:37:55.4754584Z [2022-11-23 01:35:57,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (128, 256) [TensorVariable(), TorchVariable(aten.upsample_bicubic2d), TensorVariable()] 2022-11-23T01:37:55.4754966Z [2022-11-23 01:35:57,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TensorVariable(), TorchVariable(aten.upsample_bicubic2d), TensorVariable(), ConstantVariable(tuple)] 2022-11-23T01:37:55.4755390Z [2022-11-23 01:35:57,306] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.upsample_bicubic2d), TensorVariable(), ConstantVariable(tuple), ConstantVariable(bool)] 2022-11-23T01:37:55.4755661Z [2022-11-23 01:35:57,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4755913Z [2022-11-23 01:35:57,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.4756239Z [2022-11-23 01:35:57,441] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.4756523Z [2022-11-23 01:35:57,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.4756765Z [2022-11-23 01:35:57,442] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.4757024Z [2022-11-23 01:35:57,444] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.4757277Z [2022-11-23 01:35:57,691] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.4757468Z [2022-11-23 01:35:57,692] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.4757638Z __compiled_fn_412 .3286 opcode, name, target, args, kwargs 2022-11-23T01:37:55.4757729Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.4757881Z call_function, upsample_bicubic2d, aten.upsample_bicubic2d, (ex_0_, (128, 128), True), {} 2022-11-23T01:37:55.4758023Z call_function, upsample_bicubic2d_1, aten.upsample_bicubic2d, (ex_0_, (128, 256), False), {} 2022-11-23T01:37:55.4758165Z output, output, output, ((upsample_bicubic2d, upsample_bicubic2d_1),), {} 2022-11-23T01:37:55.4758170Z 2022-11-23T01:37:55.4758449Z [2022-11-23 01:35:57,692] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4758544Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.4758634Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4758725Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.4758816Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.4758892Z 8 RETURN_VALUE 2022-11-23T01:37:55.4758900Z 2022-11-23T01:37:55.4758948Z 2022-11-23T01:37:55.4759224Z [2022-11-23 01:35:57,692] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4759333Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_412) 2022-11-23T01:37:55.4759424Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4759514Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4759590Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.4759676Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.4759765Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4759865Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4759953Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4760027Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.4760127Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4760216Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.4760289Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.4760364Z 24 BUILD_TUPLE 2 2022-11-23T01:37:55.4760440Z 26 RETURN_VALUE 2022-11-23T01:37:55.4760445Z 2022-11-23T01:37:55.4760503Z 2022-11-23T01:37:55.4760692Z [2022-11-23 01:35:57,693] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.4760767Z - 2022-11-23T01:37:55.4760887Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.4760952Z { 2022-11-23T01:37:55.4761082Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.4761270Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.4761390Z 'obj_weakref': None 2022-11-23T01:37:55.4761617Z 'guarded_class': 2022-11-23T01:37:55.4761683Z } 2022-11-23T01:37:55.4761746Z 2022-11-23T01:37:55.4761823Z - 2022-11-23T01:37:55.4761947Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.4761999Z { 2022-11-23T01:37:55.4762143Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.4762251Z 'code': None, 2022-11-23T01:37:55.4762549Z 'obj_weakref': 2022-11-23T01:37:55.4762873Z 'guarded_class': 2022-11-23T01:37:55.4762938Z } 2022-11-23T01:37:55.4763000Z 2022-11-23T01:37:55.4763058Z - 2022-11-23T01:37:55.4763191Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.4763252Z { 2022-11-23T01:37:55.4763387Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.4763560Z 'code': ['___check_obj_id(model, 140538738213808)'], 2022-11-23T01:37:55.4763683Z 'obj_weakref': None 2022-11-23T01:37:55.4763954Z 'guarded_class': 2022-11-23T01:37:55.4764006Z } 2022-11-23T01:37:55.4764067Z 2022-11-23T01:37:55.4764137Z - 2022-11-23T01:37:55.4764260Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.4764324Z { 2022-11-23T01:37:55.4764464Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.4764682Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.4764790Z 'obj_weakref': None 2022-11-23T01:37:55.4765010Z 'guarded_class': 2022-11-23T01:37:55.4765073Z } 2022-11-23T01:37:55.4765133Z 2022-11-23T01:37:55.4765202Z - 2022-11-23T01:37:55.4765336Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.4765387Z { 2022-11-23T01:37:55.4765508Z 'guard_types': None, 2022-11-23T01:37:55.4765617Z 'code': None, 2022-11-23T01:37:55.4765734Z 'obj_weakref': None 2022-11-23T01:37:55.4765855Z 'guarded_class': None 2022-11-23T01:37:55.4765916Z } 2022-11-23T01:37:55.4765976Z 2022-11-23T01:37:55.4766230Z [2022-11-23 01:35:57,930] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 404 2022-11-23T01:37:55.4766248Z 2022-11-23T01:37:55.4766331Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.4766399Z import torch 2022-11-23T01:37:55.4766465Z import random 2022-11-23T01:37:55.4766580Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.4766701Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.4766706Z 2022-11-23T01:37:55.4766784Z aten = torch.ops.aten 2022-11-23T01:37:55.4766917Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.4766995Z async_compile = AsyncCompile() 2022-11-23T01:37:55.4767002Z 2022-11-23T01:37:55.4767017Z 2022-11-23T01:37:55.4767140Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.4767346Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.4767463Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.4767565Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.4767661Z float* __restrict__ out_ptr1) 2022-11-23T01:37:55.4767720Z { 2022-11-23T01:37:55.4767795Z #pragma GCC ivdep 2022-11-23T01:37:55.4767864Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:37:55.4767925Z { 2022-11-23T01:37:55.4768002Z #pragma GCC ivdep 2022-11-23T01:37:55.4768084Z for(long i1=0; i1<128; i1+=1) 2022-11-23T01:37:55.4768147Z { 2022-11-23T01:37:55.4768227Z #pragma GCC ivdep 2022-11-23T01:37:55.4768300Z for(long i2=0; i2<128; i2+=1) 2022-11-23T01:37:55.4768362Z { 2022-11-23T01:37:55.4768423Z { 2022-11-23T01:37:55.4768490Z { 2022-11-23T01:37:55.4768596Z auto tmp0 = static_cast(i2); 2022-11-23T01:37:55.4768696Z auto tmp1 = 0.2440944881889764 * tmp0; 2022-11-23T01:37:55.4768806Z auto tmp2 = std::floor(tmp1); 2022-11-23T01:37:55.4768971Z auto tmp3 = tmp1 - tmp2; 2022-11-23T01:37:55.4769081Z auto tmp4 = static_cast(i1); 2022-11-23T01:37:55.4769179Z auto tmp5 = 0.49606299212598426 * tmp4; 2022-11-23T01:37:55.4769281Z auto tmp6 = std::floor(tmp5); 2022-11-23T01:37:55.4769424Z auto tmp7 = tmp5 - tmp6; 2022-11-23T01:37:55.4769526Z auto tmp8 = static_cast(tmp6); 2022-11-23T01:37:55.4769630Z auto tmp9 = static_cast(tmp2); 2022-11-23T01:37:55.4769770Z auto tmp10 = tmp8 + -1; 2022-11-23T01:37:55.4769881Z auto tmp11 = tmp8 + 0; 2022-11-23T01:37:55.4769971Z auto tmp12 = tmp8 + 1; 2022-11-23T01:37:55.4770060Z auto tmp13 = tmp8 + 2; 2022-11-23T01:37:55.4770200Z auto tmp14 = tmp9 + -1; 2022-11-23T01:37:55.4770289Z auto tmp15 = tmp9 + 0; 2022-11-23T01:37:55.4770378Z auto tmp16 = tmp9 + 1; 2022-11-23T01:37:55.4770463Z auto tmp17 = tmp9 + 2; 2022-11-23T01:37:55.4770556Z auto tmp18 = std::min(63, tmp10); 2022-11-23T01:37:55.4770661Z auto tmp19 = std::max(0, tmp18); 2022-11-23T01:37:55.4770765Z auto tmp20 = std::min(31, tmp14); 2022-11-23T01:37:55.4770868Z auto tmp21 = std::max(0, tmp20); 2022-11-23T01:37:55.4770985Z auto tmp22 = in_ptr0[tmp21 + (32*tmp19) + (2048*i0)]; 2022-11-23T01:37:55.4771088Z auto tmp23 = std::min(31, tmp15); 2022-11-23T01:37:55.4771190Z auto tmp24 = std::max(0, tmp23); 2022-11-23T01:37:55.4771303Z auto tmp25 = in_ptr0[tmp24 + (32*tmp19) + (2048*i0)]; 2022-11-23T01:37:55.4771390Z auto tmp26 = std::min(31, tmp16); 2022-11-23T01:37:55.4771491Z auto tmp27 = std::max(0, tmp26); 2022-11-23T01:37:55.4771602Z auto tmp28 = in_ptr0[tmp27 + (32*tmp19) + (2048*i0)]; 2022-11-23T01:37:55.4771701Z auto tmp29 = std::min(31, tmp17); 2022-11-23T01:37:55.4771799Z auto tmp30 = std::max(0, tmp29); 2022-11-23T01:37:55.4771911Z auto tmp31 = in_ptr0[tmp30 + (32*tmp19) + (2048*i0)]; 2022-11-23T01:37:55.4772002Z auto tmp32 = tmp3 + 1.0; 2022-11-23T01:37:55.4772148Z auto tmp33 = -0.75 * tmp32; 2022-11-23T01:37:55.4772281Z auto tmp34 = tmp33 - -3.75; 2022-11-23T01:37:55.4772377Z auto tmp35 = tmp34 * tmp32; 2022-11-23T01:37:55.4772521Z auto tmp36 = tmp35 + -6.0; 2022-11-23T01:37:55.4772612Z auto tmp37 = tmp36 * tmp32; 2022-11-23T01:37:55.4772755Z auto tmp38 = tmp37 - -3.0; 2022-11-23T01:37:55.4772847Z auto tmp39 = 1.25 * tmp3; 2022-11-23T01:37:55.4772989Z auto tmp40 = tmp39 - 2.25; 2022-11-23T01:37:55.4773068Z auto tmp41 = tmp40 * tmp3; 2022-11-23T01:37:55.4773157Z auto tmp42 = tmp41 * tmp3; 2022-11-23T01:37:55.4773246Z auto tmp43 = tmp42 + 1.0; 2022-11-23T01:37:55.4773384Z auto tmp44 = 1.0 - tmp3; 2022-11-23T01:37:55.4773472Z auto tmp45 = 1.25 * tmp44; 2022-11-23T01:37:55.4773612Z auto tmp46 = tmp45 - 2.25; 2022-11-23T01:37:55.4773707Z auto tmp47 = tmp46 * tmp44; 2022-11-23T01:37:55.4773800Z auto tmp48 = tmp47 * tmp44; 2022-11-23T01:37:55.4773879Z auto tmp49 = tmp48 + 1.0; 2022-11-23T01:37:55.4773969Z auto tmp50 = tmp44 + 1.0; 2022-11-23T01:37:55.4774110Z auto tmp51 = -0.75 * tmp50; 2022-11-23T01:37:55.4774286Z auto tmp52 = tmp51 - -3.75; 2022-11-23T01:37:55.4774379Z auto tmp53 = tmp52 * tmp50; 2022-11-23T01:37:55.4774521Z auto tmp54 = tmp53 + -6.0; 2022-11-23T01:37:55.4774610Z auto tmp55 = tmp54 * tmp50; 2022-11-23T01:37:55.4774736Z auto tmp56 = tmp55 - -3.0; 2022-11-23T01:37:55.4774827Z auto tmp57 = tmp22 * tmp38; 2022-11-23T01:37:55.4774915Z auto tmp58 = tmp25 * tmp43; 2022-11-23T01:37:55.4775005Z auto tmp59 = tmp28 * tmp49; 2022-11-23T01:37:55.4775095Z auto tmp60 = tmp31 * tmp56; 2022-11-23T01:37:55.4775221Z auto tmp61 = tmp59 + tmp60; 2022-11-23T01:37:55.4775309Z auto tmp62 = tmp58 + tmp61; 2022-11-23T01:37:55.4775384Z auto tmp63 = tmp57 + tmp62; 2022-11-23T01:37:55.4775487Z auto tmp64 = std::min(63, tmp11); 2022-11-23T01:37:55.4775592Z auto tmp65 = std::max(0, tmp64); 2022-11-23T01:37:55.4775707Z auto tmp66 = in_ptr0[tmp21 + (32*tmp65) + (2048*i0)]; 2022-11-23T01:37:55.4775821Z auto tmp67 = in_ptr0[tmp24 + (32*tmp65) + (2048*i0)]; 2022-11-23T01:37:55.4775934Z auto tmp68 = in_ptr0[tmp27 + (32*tmp65) + (2048*i0)]; 2022-11-23T01:37:55.4776045Z auto tmp69 = in_ptr0[tmp30 + (32*tmp65) + (2048*i0)]; 2022-11-23T01:37:55.4776137Z auto tmp70 = tmp66 * tmp38; 2022-11-23T01:37:55.4776215Z auto tmp71 = tmp67 * tmp43; 2022-11-23T01:37:55.4776306Z auto tmp72 = tmp68 * tmp49; 2022-11-23T01:37:55.4776394Z auto tmp73 = tmp69 * tmp56; 2022-11-23T01:37:55.4776481Z auto tmp74 = tmp72 + tmp73; 2022-11-23T01:37:55.4776569Z auto tmp75 = tmp71 + tmp74; 2022-11-23T01:37:55.4776658Z auto tmp76 = tmp70 + tmp75; 2022-11-23T01:37:55.4776762Z auto tmp77 = std::min(63, tmp12); 2022-11-23T01:37:55.4776864Z auto tmp78 = std::max(0, tmp77); 2022-11-23T01:37:55.4776963Z auto tmp79 = in_ptr0[tmp21 + (32*tmp78) + (2048*i0)]; 2022-11-23T01:37:55.4777075Z auto tmp80 = in_ptr0[tmp24 + (32*tmp78) + (2048*i0)]; 2022-11-23T01:37:55.4777182Z auto tmp81 = in_ptr0[tmp27 + (32*tmp78) + (2048*i0)]; 2022-11-23T01:37:55.4777291Z auto tmp82 = in_ptr0[tmp30 + (32*tmp78) + (2048*i0)]; 2022-11-23T01:37:55.4777386Z auto tmp83 = tmp79 * tmp38; 2022-11-23T01:37:55.4777475Z auto tmp84 = tmp80 * tmp43; 2022-11-23T01:37:55.4777565Z auto tmp85 = tmp81 * tmp49; 2022-11-23T01:37:55.4777641Z auto tmp86 = tmp82 * tmp56; 2022-11-23T01:37:55.4777731Z auto tmp87 = tmp85 + tmp86; 2022-11-23T01:37:55.4777818Z auto tmp88 = tmp84 + tmp87; 2022-11-23T01:37:55.4777905Z auto tmp89 = tmp83 + tmp88; 2022-11-23T01:37:55.4778008Z auto tmp90 = std::min(63, tmp13); 2022-11-23T01:37:55.4778111Z auto tmp91 = std::max(0, tmp90); 2022-11-23T01:37:55.4778223Z auto tmp92 = in_ptr0[tmp21 + (32*tmp91) + (2048*i0)]; 2022-11-23T01:37:55.4778332Z auto tmp93 = in_ptr0[tmp24 + (32*tmp91) + (2048*i0)]; 2022-11-23T01:37:55.4778429Z auto tmp94 = in_ptr0[tmp27 + (32*tmp91) + (2048*i0)]; 2022-11-23T01:37:55.4778540Z auto tmp95 = in_ptr0[tmp30 + (32*tmp91) + (2048*i0)]; 2022-11-23T01:37:55.4778636Z auto tmp96 = tmp92 * tmp38; 2022-11-23T01:37:55.4778860Z auto tmp97 = tmp93 * tmp43; 2022-11-23T01:37:55.4779014Z auto tmp98 = tmp94 * tmp49; 2022-11-23T01:37:55.4779222Z auto tmp99 = tmp95 * tmp56; 2022-11-23T01:37:55.4779323Z auto tmp100 = tmp98 + tmp99; 2022-11-23T01:37:55.4779409Z auto tmp101 = tmp97 + tmp100; 2022-11-23T01:37:55.4779505Z auto tmp102 = tmp96 + tmp101; 2022-11-23T01:37:55.4779599Z auto tmp103 = tmp7 + 1.0; 2022-11-23T01:37:55.4779762Z auto tmp104 = -0.75 * tmp103; 2022-11-23T01:37:55.4779911Z auto tmp105 = tmp104 - -3.75; 2022-11-23T01:37:55.4780010Z auto tmp106 = tmp105 * tmp103; 2022-11-23T01:37:55.4780217Z auto tmp107 = tmp106 + -6.0; 2022-11-23T01:37:55.4780315Z auto tmp108 = tmp107 * tmp103; 2022-11-23T01:37:55.4780451Z auto tmp109 = tmp108 - -3.0; 2022-11-23T01:37:55.4780544Z auto tmp110 = 1.25 * tmp7; 2022-11-23T01:37:55.4780695Z auto tmp111 = tmp110 - 2.25; 2022-11-23T01:37:55.4780790Z auto tmp112 = tmp111 * tmp7; 2022-11-23T01:37:55.4780885Z auto tmp113 = tmp112 * tmp7; 2022-11-23T01:37:55.4780980Z auto tmp114 = tmp113 + 1.0; 2022-11-23T01:37:55.4781122Z auto tmp115 = 1.0 - tmp7; 2022-11-23T01:37:55.4781201Z auto tmp116 = 1.25 * tmp115; 2022-11-23T01:37:55.4781350Z auto tmp117 = tmp116 - 2.25; 2022-11-23T01:37:55.4781449Z auto tmp118 = tmp117 * tmp115; 2022-11-23T01:37:55.4781548Z auto tmp119 = tmp118 * tmp115; 2022-11-23T01:37:55.4781645Z auto tmp120 = tmp119 + 1.0; 2022-11-23T01:37:55.4781736Z auto tmp121 = tmp115 + 1.0; 2022-11-23T01:37:55.4781885Z auto tmp122 = -0.75 * tmp121; 2022-11-23T01:37:55.4782020Z auto tmp123 = tmp122 - -3.75; 2022-11-23T01:37:55.4782122Z auto tmp124 = tmp123 * tmp121; 2022-11-23T01:37:55.4782271Z auto tmp125 = tmp124 + -6.0; 2022-11-23T01:37:55.4782370Z auto tmp126 = tmp125 * tmp121; 2022-11-23T01:37:55.4782518Z auto tmp127 = tmp126 - -3.0; 2022-11-23T01:37:55.4782613Z auto tmp128 = tmp63 * tmp109; 2022-11-23T01:37:55.4782705Z auto tmp129 = tmp76 * tmp114; 2022-11-23T01:37:55.4782798Z auto tmp130 = tmp89 * tmp120; 2022-11-23T01:37:55.4782880Z auto tmp131 = tmp102 * tmp127; 2022-11-23T01:37:55.4782978Z auto tmp132 = tmp130 + tmp131; 2022-11-23T01:37:55.4783074Z auto tmp133 = tmp129 + tmp132; 2022-11-23T01:37:55.4783167Z auto tmp134 = tmp128 + tmp133; 2022-11-23T01:37:55.4783278Z out_ptr0[i2 + (128*i1) + (16384*i0)] = tmp134; 2022-11-23T01:37:55.4783353Z } 2022-11-23T01:37:55.4783420Z } 2022-11-23T01:37:55.4783471Z } 2022-11-23T01:37:55.4783534Z } 2022-11-23T01:37:55.4783596Z } 2022-11-23T01:37:55.4783670Z #pragma GCC ivdep 2022-11-23T01:37:55.4783752Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:37:55.4783811Z { 2022-11-23T01:37:55.4783889Z #pragma GCC ivdep 2022-11-23T01:37:55.4783960Z for(long i1=0; i1<128; i1+=1) 2022-11-23T01:37:55.4784025Z { 2022-11-23T01:37:55.4784104Z #pragma GCC ivdep 2022-11-23T01:37:55.4784191Z for(long i2=0; i2<256; i2+=1) 2022-11-23T01:37:55.4784257Z { 2022-11-23T01:37:55.4784322Z { 2022-11-23T01:37:55.4784375Z { 2022-11-23T01:37:55.4784485Z auto tmp0 = static_cast(i2); 2022-11-23T01:37:55.4784579Z auto tmp1 = tmp0 + 0.5; 2022-11-23T01:37:55.4784699Z auto tmp2 = 0.125 * tmp1; 2022-11-23T01:37:55.4784844Z auto tmp3 = tmp2 - 0.5; 2022-11-23T01:37:55.4784950Z auto tmp4 = std::floor(tmp3); 2022-11-23T01:37:55.4785093Z auto tmp5 = tmp3 - tmp4; 2022-11-23T01:37:55.4785199Z auto tmp6 = static_cast(i1); 2022-11-23T01:37:55.4785276Z auto tmp7 = tmp6 + 0.5; 2022-11-23T01:37:55.4785364Z auto tmp8 = 0.5 * tmp7; 2022-11-23T01:37:55.4785506Z auto tmp9 = tmp8 - 0.5; 2022-11-23T01:37:55.4785609Z auto tmp10 = std::floor(tmp9); 2022-11-23T01:37:55.4785795Z auto tmp11 = tmp9 - tmp10; 2022-11-23T01:37:55.4785903Z auto tmp12 = static_cast(tmp10); 2022-11-23T01:37:55.4786008Z auto tmp13 = static_cast(tmp4); 2022-11-23T01:37:55.4786137Z auto tmp14 = tmp12 + -1; 2022-11-23T01:37:55.4786232Z auto tmp15 = tmp12 + 0; 2022-11-23T01:37:55.4786321Z auto tmp16 = tmp12 + 1; 2022-11-23T01:37:55.4786410Z auto tmp17 = tmp12 + 2; 2022-11-23T01:37:55.4786549Z auto tmp18 = tmp13 + -1; 2022-11-23T01:37:55.4786636Z auto tmp19 = tmp13 + 0; 2022-11-23T01:37:55.4786722Z auto tmp20 = tmp13 + 1; 2022-11-23T01:37:55.4786795Z auto tmp21 = tmp13 + 2; 2022-11-23T01:37:55.4786898Z auto tmp22 = std::min(63, tmp14); 2022-11-23T01:37:55.4787001Z auto tmp23 = std::max(0, tmp22); 2022-11-23T01:37:55.4787106Z auto tmp24 = std::min(31, tmp18); 2022-11-23T01:37:55.4787207Z auto tmp25 = std::max(0, tmp24); 2022-11-23T01:37:55.4787323Z auto tmp26 = in_ptr0[tmp25 + (32*tmp23) + (2048*i0)]; 2022-11-23T01:37:55.4787427Z auto tmp27 = std::min(31, tmp19); 2022-11-23T01:37:55.4787527Z auto tmp28 = std::max(0, tmp27); 2022-11-23T01:37:55.4787629Z auto tmp29 = in_ptr0[tmp28 + (32*tmp23) + (2048*i0)]; 2022-11-23T01:37:55.4787727Z auto tmp30 = std::min(31, tmp20); 2022-11-23T01:37:55.4787825Z auto tmp31 = std::max(0, tmp30); 2022-11-23T01:37:55.4787939Z auto tmp32 = in_ptr0[tmp31 + (32*tmp23) + (2048*i0)]; 2022-11-23T01:37:55.4788038Z auto tmp33 = std::min(31, tmp21); 2022-11-23T01:37:55.4788215Z auto tmp34 = std::max(0, tmp33); 2022-11-23T01:37:55.4788336Z auto tmp35 = in_ptr0[tmp34 + (32*tmp23) + (2048*i0)]; 2022-11-23T01:37:55.4788430Z auto tmp36 = tmp5 + 1.0; 2022-11-23T01:37:55.4788564Z auto tmp37 = -0.75 * tmp36; 2022-11-23T01:37:55.4788706Z auto tmp38 = tmp37 - -3.75; 2022-11-23T01:37:55.4788798Z auto tmp39 = tmp38 * tmp36; 2022-11-23T01:37:55.4788942Z auto tmp40 = tmp39 + -6.0; 2022-11-23T01:37:55.4789033Z auto tmp41 = tmp40 * tmp36; 2022-11-23T01:37:55.4789175Z auto tmp42 = tmp41 - -3.0; 2022-11-23T01:37:55.4789270Z auto tmp43 = 1.25 * tmp5; 2022-11-23T01:37:55.4789398Z auto tmp44 = tmp43 - 2.25; 2022-11-23T01:37:55.4789490Z auto tmp45 = tmp44 * tmp5; 2022-11-23T01:37:55.4789580Z auto tmp46 = tmp45 * tmp5; 2022-11-23T01:37:55.4789674Z auto tmp47 = tmp46 + 1.0; 2022-11-23T01:37:55.4789816Z auto tmp48 = 1.0 - tmp5; 2022-11-23T01:37:55.4789905Z auto tmp49 = 1.25 * tmp48; 2022-11-23T01:37:55.4790046Z auto tmp50 = tmp49 - 2.25; 2022-11-23T01:37:55.4790175Z auto tmp51 = tmp50 * tmp48; 2022-11-23T01:37:55.4790256Z auto tmp52 = tmp51 * tmp48; 2022-11-23T01:37:55.4790347Z auto tmp53 = tmp52 + 1.0; 2022-11-23T01:37:55.4790435Z auto tmp54 = tmp48 + 1.0; 2022-11-23T01:37:55.4790578Z auto tmp55 = -0.75 * tmp54; 2022-11-23T01:37:55.4790722Z auto tmp56 = tmp55 - -3.75; 2022-11-23T01:37:55.4790811Z auto tmp57 = tmp56 * tmp54; 2022-11-23T01:37:55.4790952Z auto tmp58 = tmp57 + -6.0; 2022-11-23T01:37:55.4791030Z auto tmp59 = tmp58 * tmp54; 2022-11-23T01:37:55.4791204Z auto tmp60 = tmp59 - -3.0; 2022-11-23T01:37:55.4791294Z auto tmp61 = tmp26 * tmp42; 2022-11-23T01:37:55.4791380Z auto tmp62 = tmp29 * tmp47; 2022-11-23T01:37:55.4791468Z auto tmp63 = tmp32 * tmp53; 2022-11-23T01:37:55.4791558Z auto tmp64 = tmp35 * tmp60; 2022-11-23T01:37:55.4791647Z auto tmp65 = tmp63 + tmp64; 2022-11-23T01:37:55.4791723Z auto tmp66 = tmp62 + tmp65; 2022-11-23T01:37:55.4791811Z auto tmp67 = tmp61 + tmp66; 2022-11-23T01:37:55.4791915Z auto tmp68 = std::min(63, tmp15); 2022-11-23T01:37:55.4792017Z auto tmp69 = std::max(0, tmp68); 2022-11-23T01:37:55.4792132Z auto tmp70 = in_ptr0[tmp25 + (32*tmp69) + (2048*i0)]; 2022-11-23T01:37:55.4792243Z auto tmp71 = in_ptr0[tmp28 + (32*tmp69) + (2048*i0)]; 2022-11-23T01:37:55.4792358Z auto tmp72 = in_ptr0[tmp31 + (32*tmp69) + (2048*i0)]; 2022-11-23T01:37:55.4792467Z auto tmp73 = in_ptr0[tmp34 + (32*tmp69) + (2048*i0)]; 2022-11-23T01:37:55.4792548Z auto tmp74 = tmp70 * tmp42; 2022-11-23T01:37:55.4792641Z auto tmp75 = tmp71 * tmp47; 2022-11-23T01:37:55.4792732Z auto tmp76 = tmp72 * tmp53; 2022-11-23T01:37:55.4792820Z auto tmp77 = tmp73 * tmp60; 2022-11-23T01:37:55.4792908Z auto tmp78 = tmp76 + tmp77; 2022-11-23T01:37:55.4792996Z auto tmp79 = tmp75 + tmp78; 2022-11-23T01:37:55.4793084Z auto tmp80 = tmp74 + tmp79; 2022-11-23T01:37:55.4793185Z auto tmp81 = std::min(63, tmp16); 2022-11-23T01:37:55.4793276Z auto tmp82 = std::max(0, tmp81); 2022-11-23T01:37:55.4793387Z auto tmp83 = in_ptr0[tmp25 + (32*tmp82) + (2048*i0)]; 2022-11-23T01:37:55.4793501Z auto tmp84 = in_ptr0[tmp28 + (32*tmp82) + (2048*i0)]; 2022-11-23T01:37:55.4793609Z auto tmp85 = in_ptr0[tmp31 + (32*tmp82) + (2048*i0)]; 2022-11-23T01:37:55.4793718Z auto tmp86 = in_ptr0[tmp34 + (32*tmp82) + (2048*i0)]; 2022-11-23T01:37:55.4793813Z auto tmp87 = tmp83 * tmp42; 2022-11-23T01:37:55.4793903Z auto tmp88 = tmp84 * tmp47; 2022-11-23T01:37:55.4793982Z auto tmp89 = tmp85 * tmp53; 2022-11-23T01:37:55.4794070Z auto tmp90 = tmp86 * tmp60; 2022-11-23T01:37:55.4794158Z auto tmp91 = tmp89 + tmp90; 2022-11-23T01:37:55.4794245Z auto tmp92 = tmp88 + tmp91; 2022-11-23T01:37:55.4794333Z auto tmp93 = tmp87 + tmp92; 2022-11-23T01:37:55.4794432Z auto tmp94 = std::min(63, tmp17); 2022-11-23T01:37:55.4794540Z auto tmp95 = std::max(0, tmp94); 2022-11-23T01:37:55.4794651Z auto tmp96 = in_ptr0[tmp25 + (32*tmp95) + (2048*i0)]; 2022-11-23T01:37:55.4794750Z auto tmp97 = in_ptr0[tmp28 + (32*tmp95) + (2048*i0)]; 2022-11-23T01:37:55.4794886Z auto tmp98 = in_ptr0[tmp31 + (32*tmp95) + (2048*i0)]; 2022-11-23T01:37:55.4794999Z auto tmp99 = in_ptr0[tmp34 + (32*tmp95) + (2048*i0)]; 2022-11-23T01:37:55.4795095Z auto tmp100 = tmp96 * tmp42; 2022-11-23T01:37:55.4795188Z auto tmp101 = tmp97 * tmp47; 2022-11-23T01:37:55.4795281Z auto tmp102 = tmp98 * tmp53; 2022-11-23T01:37:55.4795373Z auto tmp103 = tmp99 * tmp60; 2022-11-23T01:37:55.4795467Z auto tmp104 = tmp102 + tmp103; 2022-11-23T01:37:55.4795551Z auto tmp105 = tmp101 + tmp104; 2022-11-23T01:37:55.4795674Z auto tmp106 = tmp100 + tmp105; 2022-11-23T01:37:55.4795766Z auto tmp107 = tmp11 + 1.0; 2022-11-23T01:37:55.4795915Z auto tmp108 = -0.75 * tmp107; 2022-11-23T01:37:55.4796062Z auto tmp109 = tmp108 - -3.75; 2022-11-23T01:37:55.4796160Z auto tmp110 = tmp109 * tmp107; 2022-11-23T01:37:55.4796307Z auto tmp111 = tmp110 + -6.0; 2022-11-23T01:37:55.4796390Z auto tmp112 = tmp111 * tmp107; 2022-11-23T01:37:55.4796535Z auto tmp113 = tmp112 - -3.0; 2022-11-23T01:37:55.4796625Z auto tmp114 = 1.25 * tmp11; 2022-11-23T01:37:55.4796769Z auto tmp115 = tmp114 - 2.25; 2022-11-23T01:37:55.4796863Z auto tmp116 = tmp115 * tmp11; 2022-11-23T01:37:55.4796956Z auto tmp117 = tmp116 * tmp11; 2022-11-23T01:37:55.4797047Z auto tmp118 = tmp117 + 1.0; 2022-11-23T01:37:55.4797180Z auto tmp119 = 1.0 - tmp11; 2022-11-23T01:37:55.4797272Z auto tmp120 = 1.25 * tmp119; 2022-11-23T01:37:55.4797415Z auto tmp121 = tmp120 - 2.25; 2022-11-23T01:37:55.4797508Z auto tmp122 = tmp121 * tmp119; 2022-11-23T01:37:55.4797605Z auto tmp123 = tmp122 * tmp119; 2022-11-23T01:37:55.4797697Z auto tmp124 = tmp123 + 1.0; 2022-11-23T01:37:55.4797790Z auto tmp125 = tmp119 + 1.0; 2022-11-23T01:37:55.4797936Z auto tmp126 = -0.75 * tmp125; 2022-11-23T01:37:55.4798069Z auto tmp127 = tmp126 - -3.75; 2022-11-23T01:37:55.4798164Z auto tmp128 = tmp127 * tmp125; 2022-11-23T01:37:55.4798310Z auto tmp129 = tmp128 + -6.0; 2022-11-23T01:37:55.4798404Z auto tmp130 = tmp129 * tmp125; 2022-11-23T01:37:55.4798550Z auto tmp131 = tmp130 - -3.0; 2022-11-23T01:37:55.4798644Z auto tmp132 = tmp67 * tmp113; 2022-11-23T01:37:55.4798735Z auto tmp133 = tmp80 * tmp118; 2022-11-23T01:37:55.4798813Z auto tmp134 = tmp93 * tmp124; 2022-11-23T01:37:55.4798908Z auto tmp135 = tmp106 * tmp131; 2022-11-23T01:37:55.4799003Z auto tmp136 = tmp134 + tmp135; 2022-11-23T01:37:55.4799096Z auto tmp137 = tmp133 + tmp136; 2022-11-23T01:37:55.4799189Z auto tmp138 = tmp132 + tmp137; 2022-11-23T01:37:55.4799297Z out_ptr1[i2 + (256*i1) + (32768*i0)] = tmp138; 2022-11-23T01:37:55.4799365Z } 2022-11-23T01:37:55.4799418Z } 2022-11-23T01:37:55.4799481Z } 2022-11-23T01:37:55.4799542Z } 2022-11-23T01:37:55.4799602Z } 2022-11-23T01:37:55.4799662Z } 2022-11-23T01:37:55.4799744Z ''') 2022-11-23T01:37:55.4799750Z 2022-11-23T01:37:55.4799755Z 2022-11-23T01:37:55.4799847Z async_compile.wait(globals()) 2022-11-23T01:37:55.4799907Z del async_compile 2022-11-23T01:37:55.4799924Z 2022-11-23T01:37:55.4799982Z def call(args): 2022-11-23T01:37:55.4800051Z arg0_1, = args 2022-11-23T01:37:55.4800122Z args.clear() 2022-11-23T01:37:55.4800388Z buf0 = empty_strided((4, 3, 128, 128), (49152, 16384, 128, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4800616Z buf1 = empty_strided((4, 3, 128, 256), (98304, 32768, 256, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4800781Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:55.4800849Z del arg0_1 2022-11-23T01:37:55.4800914Z return (buf0, buf1, ) 2022-11-23T01:37:55.4800919Z 2022-11-23T01:37:55.4800924Z 2022-11-23T01:37:55.4801001Z if __name__ == "__main__": 2022-11-23T01:37:55.4801114Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.4801270Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.4801495Z arg0_1 = rand_strided((4, 3, 64, 32), (6144, 2048, 32, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4801604Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.4801975Z [2022-11-23 01:35:59,775] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/w3/cw3jb2i2tqn5zf46wjz52avf5qfqhiovbgms36f5h7onzg53hd4d.py 2022-11-23T01:37:55.4802245Z [2022-11-23 01:35:59,775] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 404 2022-11-23T01:37:55.4802251Z 2022-11-23T01:37:55.4802318Z ok (2.660s) 2022-11-23T01:37:55.4802637Z test_upsample_bilinear2d_a_cpu (__main__.CpuTests) ... [2022-11-23 01:35:59,813] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.4802907Z [2022-11-23 01:35:59,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.4803133Z [2022-11-23 01:35:59,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.4803388Z [2022-11-23 01:35:59,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.4803677Z [2022-11-23 01:35:59,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.4804003Z [2022-11-23 01:35:59,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.4804332Z [2022-11-23 01:35:59,813] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.4804427Z 3009 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.4804541Z 2 LOAD_METHOD 1 (upsample_bilinear2d) 2022-11-23T01:37:55.4804623Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.4804714Z 6 LOAD_CONST 1 (45) 2022-11-23T01:37:55.4804801Z 8 LOAD_CONST 1 (45) 2022-11-23T01:37:55.4804889Z 10 BUILD_LIST 2 2022-11-23T01:37:55.4804981Z 12 LOAD_CONST 2 (False) 2022-11-23T01:37:55.4805073Z 14 LOAD_CONST 0 (None) 2022-11-23T01:37:55.4805160Z 16 CALL_METHOD 4 2022-11-23T01:37:55.4805165Z 2022-11-23T01:37:55.4805243Z 3010 18 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.4805354Z 20 LOAD_METHOD 1 (upsample_bilinear2d) 2022-11-23T01:37:55.4805443Z 22 LOAD_FAST 0 (a) 2022-11-23T01:37:55.4805533Z 24 LOAD_CONST 0 (None) 2022-11-23T01:37:55.4805619Z 26 LOAD_CONST 3 (True) 2022-11-23T01:37:55.4805705Z 28 LOAD_CONST 4 (2.0) 2022-11-23T01:37:55.4805796Z 30 LOAD_CONST 4 (2.0) 2022-11-23T01:37:55.4805883Z 32 BUILD_LIST 2 2022-11-23T01:37:55.4805957Z 34 CALL_METHOD 4 2022-11-23T01:37:55.4806043Z 36 BUILD_TUPLE 2 2022-11-23T01:37:55.4806119Z 38 RETURN_VALUE 2022-11-23T01:37:55.4806206Z 2022-11-23T01:37:55.4806212Z 2022-11-23T01:37:55.4806490Z [2022-11-23 01:35:59,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3009 2022-11-23T01:37:55.4806709Z [2022-11-23 01:35:59,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.4807045Z [2022-11-23 01:35:59,819] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_bilinear2d [TorchVariable()] 2022-11-23T01:37:55.4807322Z [2022-11-23 01:35:59,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_bilinear2d)] 2022-11-23T01:37:55.4807652Z [2022-11-23 01:35:59,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 45 [TorchVariable(aten.upsample_bilinear2d), TensorVariable()] 2022-11-23T01:37:55.4808002Z [2022-11-23 01:35:59,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 45 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4808383Z [2022-11-23 01:35:59,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.4808719Z [2022-11-23 01:35:59,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST False [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.4809092Z [2022-11-23 01:35:59,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ListVariable(), ConstantVariable(bool)] 2022-11-23T01:37:55.4809516Z [2022-11-23 01:35:59,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ListVariable(), ConstantVariable(bool), ConstantVariable(NoneType)] 2022-11-23T01:37:55.4809789Z [2022-11-23 01:35:59,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3010 2022-11-23T01:37:55.4810039Z [2022-11-23 01:35:59,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:55.4810396Z [2022-11-23 01:35:59,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_bilinear2d [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.4810700Z [2022-11-23 01:35:59,850] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_bilinear2d)] 2022-11-23T01:37:55.4811038Z [2022-11-23 01:35:59,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable()] 2022-11-23T01:37:55.4811429Z [2022-11-23 01:35:59,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:55.4811842Z [2022-11-23 01:35:59,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool)] 2022-11-23T01:37:55.4812309Z [2022-11-23 01:35:59,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ConstantVariable(float)] 2022-11-23T01:37:55.4812816Z [2022-11-23 01:35:59,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ConstantVariable(float), ConstantVariable(float)] 2022-11-23T01:37:55.4813271Z [2022-11-23 01:35:59,851] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TensorVariable(), TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ListVariable()] 2022-11-23T01:37:55.4813576Z [2022-11-23 01:35:59,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 2 [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4813827Z [2022-11-23 01:35:59,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.4814162Z [2022-11-23 01:35:59,870] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.4814413Z [2022-11-23 01:35:59,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.4814652Z [2022-11-23 01:35:59,871] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.4814942Z [2022-11-23 01:35:59,872] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.4815195Z [2022-11-23 01:35:59,911] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.4815392Z [2022-11-23 01:35:59,911] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.4815515Z __compiled_fn_413 .3292 opcode, name, target, args, kwargs 2022-11-23T01:37:55.4815603Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.4815768Z call_function, upsample_bilinear2d, aten.upsample_bilinear2d, (ex_0_, [45, 45], False, None), {} 2022-11-23T01:37:55.4815931Z call_function, upsample_bilinear2d_1, aten.upsample_bilinear2d, (ex_0_, None, True, [2.0, 2.0]), {} 2022-11-23T01:37:55.4816074Z output, output, output, ((upsample_bilinear2d, upsample_bilinear2d_1),), {} 2022-11-23T01:37:55.4816082Z 2022-11-23T01:37:55.4816362Z [2022-11-23 01:35:59,912] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4816455Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.4816547Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4816629Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.4816722Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.4816797Z 8 RETURN_VALUE 2022-11-23T01:37:55.4816802Z 2022-11-23T01:37:55.4816862Z 2022-11-23T01:37:55.4817140Z [2022-11-23 01:35:59,912] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4817247Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_413) 2022-11-23T01:37:55.4817336Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4817424Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4817488Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.4817582Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.4817687Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4817791Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4817882Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4817962Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.4818065Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4818141Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.4818217Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.4818310Z 24 BUILD_TUPLE 2 2022-11-23T01:37:55.4818385Z 26 RETURN_VALUE 2022-11-23T01:37:55.4818390Z 2022-11-23T01:37:55.4818451Z 2022-11-23T01:37:55.4818637Z [2022-11-23 01:35:59,912] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.4818711Z - 2022-11-23T01:37:55.4819002Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.4819108Z { 2022-11-23T01:37:55.4819292Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.4819488Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.4819613Z 'obj_weakref': None 2022-11-23T01:37:55.4819898Z 'guarded_class': 2022-11-23T01:37:55.4819966Z } 2022-11-23T01:37:55.4820017Z 2022-11-23T01:37:55.4820093Z - 2022-11-23T01:37:55.4820224Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.4820289Z { 2022-11-23T01:37:55.4820437Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.4820550Z 'code': None, 2022-11-23T01:37:55.4820768Z 'obj_weakref': 2022-11-23T01:37:55.4821012Z 'guarded_class': 2022-11-23T01:37:55.4821130Z } 2022-11-23T01:37:55.4821194Z 2022-11-23T01:37:55.4821269Z - 2022-11-23T01:37:55.4821404Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.4821469Z { 2022-11-23T01:37:55.4821608Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.4821770Z 'code': ['___check_obj_id(model, 140538743090208)'], 2022-11-23T01:37:55.4821893Z 'obj_weakref': None 2022-11-23T01:37:55.4822128Z 'guarded_class': 2022-11-23T01:37:55.4822197Z } 2022-11-23T01:37:55.4822260Z 2022-11-23T01:37:55.4822333Z - 2022-11-23T01:37:55.4822459Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.4822510Z { 2022-11-23T01:37:55.4822651Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.4822872Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.4822997Z 'obj_weakref': None 2022-11-23T01:37:55.4823223Z 'guarded_class': 2022-11-23T01:37:55.4823287Z } 2022-11-23T01:37:55.4823351Z 2022-11-23T01:37:55.4823407Z - 2022-11-23T01:37:55.4823543Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.4823603Z { 2022-11-23T01:37:55.4823728Z 'guard_types': None, 2022-11-23T01:37:55.4823840Z 'code': None, 2022-11-23T01:37:55.4823958Z 'obj_weakref': None 2022-11-23T01:37:55.4824081Z 'guarded_class': None 2022-11-23T01:37:55.4824130Z } 2022-11-23T01:37:55.4824193Z 2022-11-23T01:37:55.4824454Z [2022-11-23 01:35:59,953] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 405 2022-11-23T01:37:55.4824676Z [2022-11-23 01:35:59,955] torch._inductor.graph: [WARNING] Creating implicit fallback for: 2022-11-23T01:37:55.4824788Z target: aten.upsample_bilinear2d.default 2022-11-23T01:37:55.4824878Z args[0]: TensorBox(StorageBox( 2022-11-23T01:37:55.4825148Z InputBuffer(name='arg0_1', layout=FixedLayout('cpu', torch.float32, size=[2, 4, 37, 38], stride=[5624, 1406, 38, 1])) 2022-11-23T01:37:55.4825197Z )) 2022-11-23T01:37:55.4825269Z args[1]: [45, 45] 2022-11-23T01:37:55.4825336Z args[2]: False 2022-11-23T01:37:55.4825674Z [2022-11-23 01:35:59,956] torch._inductor.lowering: [WARNING] make_fallback(aten.upsample_bilinear2d.default): a decomposition exists, we should switch to it 2022-11-23T01:37:55.4825954Z [2022-11-23 01:35:59,977] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten.upsample_bilinear2d.default 2022-11-23T01:37:55.4826236Z [2022-11-23 01:35:59,995] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten.upsample_bilinear2d.default 2022-11-23T01:37:55.4826611Z [2022-11-23 01:35:59,998] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/c6/cc6jwthtvlfgybyqb2nevaigxcgibtxfdnojafkjtzoh2r5vizno.py 2022-11-23T01:37:55.4826878Z [2022-11-23 01:35:59,998] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 405 2022-11-23T01:37:55.4826884Z 2022-11-23T01:37:55.4826976Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.4827032Z import torch 2022-11-23T01:37:55.4827138Z import random 2022-11-23T01:37:55.4827256Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.4827377Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.4827382Z 2022-11-23T01:37:55.4827459Z aten = torch.ops.aten 2022-11-23T01:37:55.4827592Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.4827683Z async_compile = AsyncCompile() 2022-11-23T01:37:55.4827688Z 2022-11-23T01:37:55.4827693Z 2022-11-23T01:37:55.4827779Z async_compile.wait(globals()) 2022-11-23T01:37:55.4827838Z del async_compile 2022-11-23T01:37:55.4827843Z 2022-11-23T01:37:55.4827941Z def call(args): 2022-11-23T01:37:55.4828008Z arg0_1, = args 2022-11-23T01:37:55.4828082Z args.clear() 2022-11-23T01:37:55.4828310Z buf0 = torch.ops.aten.upsample_bilinear2d.default(arg0_1, [45, 45], False) 2022-11-23T01:37:55.4828380Z buf1 = buf0 2022-11-23T01:37:55.4828487Z assert_size_stride(buf1, (2, 4, 45, 45), (8100, 2025, 45, 1)) 2022-11-23T01:37:55.4828543Z del buf0 2022-11-23T01:37:55.4828696Z buf2 = torch.ops.aten.upsample_bilinear2d.default(arg0_1, [74, 76], True, 2.0, 2.0) 2022-11-23T01:37:55.4828763Z del arg0_1 2022-11-23T01:37:55.4828829Z buf3 = buf2 2022-11-23T01:37:55.4828937Z assert_size_stride(buf3, (2, 4, 74, 76), (22496, 5624, 76, 1)) 2022-11-23T01:37:55.4829001Z del buf2 2022-11-23T01:37:55.4829079Z return (buf1, buf3, ) 2022-11-23T01:37:55.4829084Z 2022-11-23T01:37:55.4829088Z 2022-11-23T01:37:55.4829151Z if __name__ == "__main__": 2022-11-23T01:37:55.4829263Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.4829387Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.4829615Z arg0_1 = rand_strided((2, 4, 37, 38), (5624, 1406, 38, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4829725Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.4829729Z 2022-11-23T01:37:55.4829796Z ok (0.194s) 2022-11-23T01:37:55.4830133Z test_upsample_bilinear2d_b_cpu (__main__.CpuTests) ... [2022-11-23 01:36:00,004] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.4830407Z [2022-11-23 01:36:00,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.4830628Z [2022-11-23 01:36:00,004] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.4830871Z [2022-11-23 01:36:00,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.4831157Z [2022-11-23 01:36:00,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.4831487Z [2022-11-23 01:36:00,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.4831822Z [2022-11-23 01:36:00,005] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.4831920Z 3017 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.4832034Z 2 LOAD_METHOD 1 (upsample_bilinear2d) 2022-11-23T01:37:55.4832125Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.4832217Z 6 LOAD_CONST 0 (None) 2022-11-23T01:37:55.4832295Z 8 LOAD_CONST 1 (True) 2022-11-23T01:37:55.4832383Z 10 LOAD_CONST 2 (2.0) 2022-11-23T01:37:55.4832472Z 12 LOAD_CONST 2 (2.0) 2022-11-23T01:37:55.4832561Z 14 BUILD_LIST 2 2022-11-23T01:37:55.4832647Z 16 CALL_METHOD 4 2022-11-23T01:37:55.4832723Z 18 RETURN_VALUE 2022-11-23T01:37:55.4832783Z 2022-11-23T01:37:55.4832789Z 2022-11-23T01:37:55.4833092Z [2022-11-23 01:36:00,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3017 2022-11-23T01:37:55.4833306Z [2022-11-23 01:36:00,005] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.4833639Z [2022-11-23 01:36:00,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_bilinear2d [TorchVariable()] 2022-11-23T01:37:55.4833918Z [2022-11-23 01:36:00,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_bilinear2d)] 2022-11-23T01:37:55.4834231Z [2022-11-23 01:36:00,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.upsample_bilinear2d), TensorVariable()] 2022-11-23T01:37:55.4834622Z [2022-11-23 01:36:00,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST True [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:55.4835020Z [2022-11-23 01:36:00,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool)] 2022-11-23T01:37:55.4835456Z [2022-11-23 01:36:00,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ConstantVariable(float)] 2022-11-23T01:37:55.4835930Z [2022-11-23 01:36:00,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ConstantVariable(float), ConstantVariable(float)] 2022-11-23T01:37:55.4836351Z [2022-11-23 01:36:00,011] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 4 [TorchVariable(aten.upsample_bilinear2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(bool), ListVariable()] 2022-11-23T01:37:55.4836606Z [2022-11-23 01:36:00,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.4836945Z [2022-11-23 01:36:00,031] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.4837195Z [2022-11-23 01:36:00,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.4837419Z [2022-11-23 01:36:00,031] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.4837675Z [2022-11-23 01:36:00,032] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.4837928Z [2022-11-23 01:36:00,051] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.4838123Z [2022-11-23 01:36:00,051] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.4838257Z __compiled_fn_414 .3298 opcode, name, target, args, kwargs 2022-11-23T01:37:55.4838348Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.4838515Z call_function, upsample_bilinear2d, aten.upsample_bilinear2d, (ex_0_, None, True, [2.0, 2.0]), {} 2022-11-23T01:37:55.4838634Z output, output, output, ((upsample_bilinear2d,),), {} 2022-11-23T01:37:55.4838639Z 2022-11-23T01:37:55.4838918Z [2022-11-23 01:36:00,051] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4839001Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.4839091Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4839183Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.4839273Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.4839351Z 8 RETURN_VALUE 2022-11-23T01:37:55.4839356Z 2022-11-23T01:37:55.4839416Z 2022-11-23T01:37:55.4839692Z [2022-11-23 01:36:00,051] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4839788Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_414) 2022-11-23T01:37:55.4839936Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4840026Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4840104Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.4840191Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.4840286Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.4840360Z 12 RETURN_VALUE 2022-11-23T01:37:55.4840365Z 2022-11-23T01:37:55.4840424Z 2022-11-23T01:37:55.4840597Z [2022-11-23 01:36:00,052] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.4840668Z - 2022-11-23T01:37:55.4840825Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.4840890Z { 2022-11-23T01:37:55.4841033Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.4841223Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.4841349Z 'obj_weakref': None 2022-11-23T01:37:55.4841565Z 'guarded_class': 2022-11-23T01:37:55.4841631Z } 2022-11-23T01:37:55.4841692Z 2022-11-23T01:37:55.4841762Z - 2022-11-23T01:37:55.4841890Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.4841955Z { 2022-11-23T01:37:55.4842087Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.4842198Z 'code': None, 2022-11-23T01:37:55.4842411Z 'obj_weakref': 2022-11-23T01:37:55.4842667Z 'guarded_class': 2022-11-23T01:37:55.4842734Z } 2022-11-23T01:37:55.4842796Z 2022-11-23T01:37:55.4842868Z - 2022-11-23T01:37:55.4843000Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.4843051Z { 2022-11-23T01:37:55.4843186Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.4843362Z 'code': ['___check_obj_id(model, 140538738100272)'], 2022-11-23T01:37:55.4843484Z 'obj_weakref': None 2022-11-23T01:37:55.4843718Z 'guarded_class': 2022-11-23T01:37:55.4843781Z } 2022-11-23T01:37:55.4843842Z 2022-11-23T01:37:55.4843900Z - 2022-11-23T01:37:55.4844023Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.4844087Z { 2022-11-23T01:37:55.4844226Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.4844443Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.4844567Z 'obj_weakref': None 2022-11-23T01:37:55.4844788Z 'guarded_class': 2022-11-23T01:37:55.4844839Z } 2022-11-23T01:37:55.4844901Z 2022-11-23T01:37:55.4844972Z - 2022-11-23T01:37:55.4845110Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.4845174Z { 2022-11-23T01:37:55.4845294Z 'guard_types': None, 2022-11-23T01:37:55.4845391Z 'code': None, 2022-11-23T01:37:55.4845510Z 'obj_weakref': None 2022-11-23T01:37:55.4845631Z 'guarded_class': None 2022-11-23T01:37:55.4845694Z } 2022-11-23T01:37:55.4845755Z 2022-11-23T01:37:55.4846016Z [2022-11-23 01:36:00,072] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 406 2022-11-23T01:37:55.4846300Z [2022-11-23 01:36:00,091] torch._inductor.ir: [WARNING] Using FallbackKernel: torch.ops.aten.upsample_bilinear2d.default 2022-11-23T01:37:55.4846674Z [2022-11-23 01:36:00,093] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rx/crxihpsvscu7mq7celyuqnjydsd2ow4swyg5c2zawg5wjxnzsn46.py 2022-11-23T01:37:55.4846959Z [2022-11-23 01:36:00,093] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 406 2022-11-23T01:37:55.4846979Z 2022-11-23T01:37:55.4847061Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.4847130Z import torch 2022-11-23T01:37:55.4847198Z import random 2022-11-23T01:37:55.4847313Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.4847433Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.4847438Z 2022-11-23T01:37:55.4847516Z aten = torch.ops.aten 2022-11-23T01:37:55.4847647Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.4847728Z async_compile = AsyncCompile() 2022-11-23T01:37:55.4847760Z 2022-11-23T01:37:55.4847764Z 2022-11-23T01:37:55.4847853Z async_compile.wait(globals()) 2022-11-23T01:37:55.4847925Z del async_compile 2022-11-23T01:37:55.4847929Z 2022-11-23T01:37:55.4847999Z def call(args): 2022-11-23T01:37:55.4848067Z arg0_1, = args 2022-11-23T01:37:55.4848140Z args.clear() 2022-11-23T01:37:55.4848296Z buf0 = torch.ops.aten.upsample_bilinear2d.default(arg0_1, [80, 118], True, 2.0, 2.0) 2022-11-23T01:37:55.4848352Z del arg0_1 2022-11-23T01:37:55.4848418Z buf1 = buf0 2022-11-23T01:37:55.4848529Z assert_size_stride(buf1, (1, 2, 80, 118), (18880, 9440, 118, 1)) 2022-11-23T01:37:55.4848593Z del buf0 2022-11-23T01:37:55.4848663Z return (buf1, ) 2022-11-23T01:37:55.4848668Z 2022-11-23T01:37:55.4848672Z 2022-11-23T01:37:55.4848749Z if __name__ == "__main__": 2022-11-23T01:37:55.4848859Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.4848981Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.4849193Z arg0_1 = rand_strided((1, 2, 40, 59), (4720, 2360, 59, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4849304Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.4849309Z 2022-11-23T01:37:55.4849375Z ok (0.093s) 2022-11-23T01:37:55.4849708Z test_upsample_nearest1d_cpu (__main__.CpuTests) ... [2022-11-23 01:36:00,097] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.4849982Z [2022-11-23 01:36:00,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.4850203Z [2022-11-23 01:36:00,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.4850461Z [2022-11-23 01:36:00,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.4850749Z [2022-11-23 01:36:00,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.4851078Z [2022-11-23 01:36:00,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.4851395Z [2022-11-23 01:36:00,098] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.4851495Z 2959 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.4851608Z 2 LOAD_METHOD 1 (upsample_nearest1d) 2022-11-23T01:37:55.4851699Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.4851790Z 6 LOAD_CONST 1 (74) 2022-11-23T01:37:55.4851879Z 8 BUILD_LIST 1 2022-11-23T01:37:55.4851970Z 10 LOAD_CONST 0 (None) 2022-11-23T01:37:55.4852055Z 12 CALL_METHOD 3 2022-11-23T01:37:55.4852060Z 2022-11-23T01:37:55.4852138Z 2960 14 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.4852251Z 16 LOAD_METHOD 1 (upsample_nearest1d) 2022-11-23T01:37:55.4852344Z 18 LOAD_FAST 0 (a) 2022-11-23T01:37:55.4852433Z 20 LOAD_CONST 2 (70) 2022-11-23T01:37:55.4852519Z 22 BUILD_LIST 1 2022-11-23T01:37:55.4852637Z 24 LOAD_CONST 0 (None) 2022-11-23T01:37:55.4852726Z 26 CALL_METHOD 3 2022-11-23T01:37:55.4852731Z 2022-11-23T01:37:55.4852819Z 2961 28 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.4852917Z 30 LOAD_METHOD 1 (upsample_nearest1d) 2022-11-23T01:37:55.4853005Z 32 LOAD_FAST 0 (a) 2022-11-23T01:37:55.4853093Z 34 LOAD_CONST 3 (45) 2022-11-23T01:37:55.4853179Z 36 BUILD_LIST 1 2022-11-23T01:37:55.4853269Z 38 LOAD_CONST 0 (None) 2022-11-23T01:37:55.4853355Z 40 CALL_METHOD 3 2022-11-23T01:37:55.4853388Z 2022-11-23T01:37:55.4853478Z 2962 42 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.4853576Z 44 LOAD_METHOD 1 (upsample_nearest1d) 2022-11-23T01:37:55.4853662Z 46 LOAD_FAST 0 (a) 2022-11-23T01:37:55.4853750Z 48 LOAD_CONST 4 (36) 2022-11-23T01:37:55.4853837Z 50 BUILD_LIST 1 2022-11-23T01:37:55.4853927Z 52 LOAD_CONST 0 (None) 2022-11-23T01:37:55.4854012Z 54 CALL_METHOD 3 2022-11-23T01:37:55.4854017Z 2022-11-23T01:37:55.4854106Z 2963 56 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.4854212Z 58 LOAD_METHOD 1 (upsample_nearest1d) 2022-11-23T01:37:55.4854289Z 60 LOAD_FAST 0 (a) 2022-11-23T01:37:55.4854377Z 62 LOAD_CONST 0 (None) 2022-11-23T01:37:55.4854464Z 64 LOAD_CONST 5 (2.0) 2022-11-23T01:37:55.4854550Z 66 BUILD_LIST 1 2022-11-23T01:37:55.4854639Z 68 CALL_METHOD 3 2022-11-23T01:37:55.4854723Z 70 BUILD_TUPLE 5 2022-11-23T01:37:55.4854799Z 72 RETURN_VALUE 2022-11-23T01:37:55.4854846Z 2022-11-23T01:37:55.4854851Z 2022-11-23T01:37:55.4855123Z [2022-11-23 01:36:00,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2959 2022-11-23T01:37:55.4855347Z [2022-11-23 01:36:00,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.4855682Z [2022-11-23 01:36:00,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest1d [TorchVariable()] 2022-11-23T01:37:55.4855957Z [2022-11-23 01:36:00,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_nearest1d)] 2022-11-23T01:37:55.4856263Z [2022-11-23 01:36:00,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 74 [TorchVariable(aten.upsample_nearest1d), TensorVariable()] 2022-11-23T01:37:55.4856606Z [2022-11-23 01:36:00,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4856940Z [2022-11-23 01:36:00,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.4857320Z [2022-11-23 01:36:00,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:55.4857592Z [2022-11-23 01:36:00,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2960 2022-11-23T01:37:55.4857826Z [2022-11-23 01:36:00,105] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:55.4858187Z [2022-11-23 01:36:00,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest1d [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.4858490Z [2022-11-23 01:36:00,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_nearest1d)] 2022-11-23T01:37:55.4859081Z [2022-11-23 01:36:00,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 70 [TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable()] 2022-11-23T01:37:55.4859477Z [2022-11-23 01:36:00,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4859839Z [2022-11-23 01:36:00,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.4860249Z [2022-11-23 01:36:00,111] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:55.4860563Z [2022-11-23 01:36:00,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2961 2022-11-23T01:37:55.4860841Z [2022-11-23 01:36:00,112] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4861229Z [2022-11-23 01:36:00,117] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest1d [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.4861565Z [2022-11-23 01:36:00,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d)] 2022-11-23T01:37:55.4861929Z [2022-11-23 01:36:00,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 45 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable()] 2022-11-23T01:37:55.4862337Z [2022-11-23 01:36:00,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4862719Z [2022-11-23 01:36:00,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.4863195Z [2022-11-23 01:36:00,118] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:55.4863541Z [2022-11-23 01:36:00,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2962 2022-11-23T01:37:55.4863851Z [2022-11-23 01:36:00,119] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4864271Z [2022-11-23 01:36:00,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest1d [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.4864634Z [2022-11-23 01:36:00,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d)] 2022-11-23T01:37:55.4865025Z [2022-11-23 01:36:00,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 36 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable()] 2022-11-23T01:37:55.4865452Z [2022-11-23 01:36:00,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4865877Z [2022-11-23 01:36:00,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.4866385Z [2022-11-23 01:36:00,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:55.4866660Z [2022-11-23 01:36:00,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2963 2022-11-23T01:37:55.4866992Z [2022-11-23 01:36:00,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4867439Z [2022-11-23 01:36:00,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest1d [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.4867871Z [2022-11-23 01:36:00,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d)] 2022-11-23T01:37:55.4868352Z [2022-11-23 01:36:00,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable()] 2022-11-23T01:37:55.4868825Z [2022-11-23 01:36:00,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:55.4869336Z [2022-11-23 01:36:00,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(float)] 2022-11-23T01:37:55.4869838Z [2022-11-23 01:36:00,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest1d), TensorVariable(), ConstantVariable(NoneType), ListVariable()] 2022-11-23T01:37:55.4870195Z [2022-11-23 01:36:00,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4870444Z [2022-11-23 01:36:00,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.4870778Z [2022-11-23 01:36:00,132] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.4871027Z [2022-11-23 01:36:00,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.4871274Z [2022-11-23 01:36:00,132] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.4871534Z [2022-11-23 01:36:00,134] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.4871794Z [2022-11-23 01:36:00,137] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.4871988Z [2022-11-23 01:36:00,138] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.4872113Z __compiled_fn_415 .3304 opcode, name, target, args, kwargs 2022-11-23T01:37:55.4872203Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.4872358Z call_function, upsample_nearest1d, aten.upsample_nearest1d, (ex_0_, [74], None), {} 2022-11-23T01:37:55.4872508Z call_function, upsample_nearest1d_1, aten.upsample_nearest1d, (ex_0_, [70], None), {} 2022-11-23T01:37:55.4872656Z call_function, upsample_nearest1d_2, aten.upsample_nearest1d, (ex_0_, [45], None), {} 2022-11-23T01:37:55.4872798Z call_function, upsample_nearest1d_3, aten.upsample_nearest1d, (ex_0_, [36], None), {} 2022-11-23T01:37:55.4872949Z call_function, upsample_nearest1d_4, aten.upsample_nearest1d, (ex_0_, None, [2.0]), {} 2022-11-23T01:37:55.4873199Z output, output, output, ((upsample_nearest1d, upsample_nearest1d_1, upsample_nearest1d_2, upsample_nearest1d_3, upsample_nearest1d_4),), {} 2022-11-23T01:37:55.4873207Z 2022-11-23T01:37:55.4873498Z [2022-11-23 01:36:00,138] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4873581Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.4873671Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4873769Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.4873860Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.4873938Z 8 RETURN_VALUE 2022-11-23T01:37:55.4873973Z 2022-11-23T01:37:55.4874040Z 2022-11-23T01:37:55.4874323Z [2022-11-23 01:36:00,138] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4874434Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_415) 2022-11-23T01:37:55.4874515Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4874605Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4874685Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.4874775Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.4874882Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4874986Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4875072Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4875136Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.4875236Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4875328Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.4875402Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.4875501Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4875588Z 26 LOAD_CONST 3 (2) 2022-11-23T01:37:55.4875662Z 28 BINARY_SUBSCR 2022-11-23T01:37:55.4875753Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4875841Z 32 LOAD_CONST 4 (3) 2022-11-23T01:37:55.4875914Z 34 BINARY_SUBSCR 2022-11-23T01:37:55.4876013Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4876099Z 38 LOAD_CONST 5 (4) 2022-11-23T01:37:55.4876173Z 40 BINARY_SUBSCR 2022-11-23T01:37:55.4876260Z 42 BUILD_TUPLE 5 2022-11-23T01:37:55.4876321Z 44 RETURN_VALUE 2022-11-23T01:37:55.4876326Z 2022-11-23T01:37:55.4876384Z 2022-11-23T01:37:55.4876574Z [2022-11-23 01:36:00,139] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.4876645Z - 2022-11-23T01:37:55.4876768Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.4876831Z { 2022-11-23T01:37:55.4876976Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.4877155Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.4877278Z 'obj_weakref': None 2022-11-23T01:37:55.4877505Z 'guarded_class': 2022-11-23T01:37:55.4877568Z } 2022-11-23T01:37:55.4877631Z 2022-11-23T01:37:55.4877703Z - 2022-11-23T01:37:55.4877830Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.4877880Z { 2022-11-23T01:37:55.4878025Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.4878134Z 'code': None, 2022-11-23T01:37:55.4878351Z 'obj_weakref': 2022-11-23T01:37:55.4878611Z 'guarded_class': 2022-11-23T01:37:55.4878674Z } 2022-11-23T01:37:55.4878735Z 2022-11-23T01:37:55.4878793Z - 2022-11-23T01:37:55.4878923Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.4879021Z { 2022-11-23T01:37:55.4879162Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.4879335Z 'code': ['___check_obj_id(model, 140538743384832)'], 2022-11-23T01:37:55.4879455Z 'obj_weakref': None 2022-11-23T01:37:55.4879689Z 'guarded_class': 2022-11-23T01:37:55.4879740Z } 2022-11-23T01:37:55.4879800Z 2022-11-23T01:37:55.4879869Z - 2022-11-23T01:37:55.4879993Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.4880056Z { 2022-11-23T01:37:55.4880229Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.4880449Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.4880557Z 'obj_weakref': None 2022-11-23T01:37:55.4880783Z 'guarded_class': 2022-11-23T01:37:55.4880846Z } 2022-11-23T01:37:55.4880907Z 2022-11-23T01:37:55.4880979Z - 2022-11-23T01:37:55.4881111Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.4881174Z { 2022-11-23T01:37:55.4881283Z 'guard_types': None, 2022-11-23T01:37:55.4881391Z 'code': None, 2022-11-23T01:37:55.4881510Z 'obj_weakref': None 2022-11-23T01:37:55.4881634Z 'guarded_class': None 2022-11-23T01:37:55.4881697Z } 2022-11-23T01:37:55.4881757Z 2022-11-23T01:37:55.4882022Z [2022-11-23 01:36:00,146] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 407 2022-11-23T01:37:55.4882381Z [2022-11-23 01:36:01,722] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dk/cdk23jsv5uabb3xv6dcjac5cis35wzqozthxrbxzxwuc43auu4qz.py 2022-11-23T01:37:55.4882649Z [2022-11-23 01:36:01,722] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 407 2022-11-23T01:37:55.4882655Z 2022-11-23T01:37:55.4882749Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.4882818Z import torch 2022-11-23T01:37:55.4882886Z import random 2022-11-23T01:37:55.4883000Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.4883121Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.4883125Z 2022-11-23T01:37:55.4883203Z aten = torch.ops.aten 2022-11-23T01:37:55.4883323Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.4883415Z async_compile = AsyncCompile() 2022-11-23T01:37:55.4883421Z 2022-11-23T01:37:55.4883427Z 2022-11-23T01:37:55.4883564Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.4883769Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.4883889Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.4883989Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.4884090Z float* __restrict__ out_ptr1, 2022-11-23T01:37:55.4884182Z float* __restrict__ out_ptr2, 2022-11-23T01:37:55.4884262Z float* __restrict__ out_ptr3, 2022-11-23T01:37:55.4884352Z float* __restrict__ out_ptr4) 2022-11-23T01:37:55.4884412Z { 2022-11-23T01:37:55.4884486Z #pragma GCC ivdep 2022-11-23T01:37:55.4884565Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.4884626Z { 2022-11-23T01:37:55.4884703Z #pragma GCC ivdep 2022-11-23T01:37:55.4884773Z for(long i1=0; i1<74; i1+=1) 2022-11-23T01:37:55.4884838Z { 2022-11-23T01:37:55.4884900Z { 2022-11-23T01:37:55.4884962Z { 2022-11-23T01:37:55.4885068Z auto tmp0 = static_cast(i1); 2022-11-23T01:37:55.4885173Z auto tmp1 = static_cast(0.5); 2022-11-23T01:37:55.4885265Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.4885387Z auto tmp3 = static_cast(tmp2); 2022-11-23T01:37:55.4885493Z auto tmp4 = in_ptr0[tmp3 + (37*i0)]; 2022-11-23T01:37:55.4885585Z out_ptr0[i1 + (74*i0)] = tmp4; 2022-11-23T01:37:55.4885674Z out_ptr1[i1 + (74*i0)] = tmp4; 2022-11-23T01:37:55.4885738Z } 2022-11-23T01:37:55.4885801Z } 2022-11-23T01:37:55.4885862Z } 2022-11-23T01:37:55.4885911Z } 2022-11-23T01:37:55.4885985Z #pragma GCC ivdep 2022-11-23T01:37:55.4886065Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.4886125Z { 2022-11-23T01:37:55.4886240Z #pragma GCC ivdep 2022-11-23T01:37:55.4886320Z for(long i1=0; i1<70; i1+=1) 2022-11-23T01:37:55.4886369Z { 2022-11-23T01:37:55.4886430Z { 2022-11-23T01:37:55.4886493Z { 2022-11-23T01:37:55.4886596Z auto tmp0 = static_cast(i1); 2022-11-23T01:37:55.4886711Z auto tmp1 = static_cast(0.5285714285714286); 2022-11-23T01:37:55.4886801Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.4886906Z auto tmp3 = static_cast(tmp2); 2022-11-23T01:37:55.4886996Z auto tmp4 = in_ptr0[tmp3 + (37*i0)]; 2022-11-23T01:37:55.4887086Z out_ptr2[i1 + (70*i0)] = tmp4; 2022-11-23T01:37:55.4887149Z } 2022-11-23T01:37:55.4887211Z } 2022-11-23T01:37:55.4887271Z } 2022-11-23T01:37:55.4887330Z } 2022-11-23T01:37:55.4887403Z #pragma GCC ivdep 2022-11-23T01:37:55.4887469Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.4887528Z { 2022-11-23T01:37:55.4887607Z #pragma GCC ivdep 2022-11-23T01:37:55.4887688Z for(long i1=0; i1<45; i1+=1) 2022-11-23T01:37:55.4887750Z { 2022-11-23T01:37:55.4887812Z { 2022-11-23T01:37:55.4887862Z { 2022-11-23T01:37:55.4887964Z auto tmp0 = static_cast(i1); 2022-11-23T01:37:55.4888077Z auto tmp1 = static_cast(0.8222222222222222); 2022-11-23T01:37:55.4888168Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.4888269Z auto tmp3 = static_cast(tmp2); 2022-11-23T01:37:55.4888371Z auto tmp4 = in_ptr0[tmp3 + (37*i0)]; 2022-11-23T01:37:55.4888463Z out_ptr3[i1 + (45*i0)] = tmp4; 2022-11-23T01:37:55.4888527Z } 2022-11-23T01:37:55.4888576Z } 2022-11-23T01:37:55.4888637Z } 2022-11-23T01:37:55.4888696Z } 2022-11-23T01:37:55.4888769Z #pragma GCC ivdep 2022-11-23T01:37:55.4888848Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.4888908Z { 2022-11-23T01:37:55.4888971Z #pragma GCC ivdep 2022-11-23T01:37:55.4889051Z for(long i1=0; i1<36; i1+=1) 2022-11-23T01:37:55.4889113Z { 2022-11-23T01:37:55.4889175Z { 2022-11-23T01:37:55.4889240Z { 2022-11-23T01:37:55.4889343Z auto tmp0 = static_cast(i1); 2022-11-23T01:37:55.4889453Z auto tmp1 = static_cast(1.0277777777777777); 2022-11-23T01:37:55.4889531Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.4889632Z auto tmp3 = static_cast(tmp2); 2022-11-23T01:37:55.4889730Z auto tmp4 = in_ptr0[tmp3 + (37*i0)]; 2022-11-23T01:37:55.4889821Z out_ptr4[i1 + (36*i0)] = tmp4; 2022-11-23T01:37:55.4889885Z } 2022-11-23T01:37:55.4889948Z } 2022-11-23T01:37:55.4890010Z } 2022-11-23T01:37:55.4890058Z } 2022-11-23T01:37:55.4890119Z } 2022-11-23T01:37:55.4890202Z ''') 2022-11-23T01:37:55.4890208Z 2022-11-23T01:37:55.4890212Z 2022-11-23T01:37:55.4890301Z async_compile.wait(globals()) 2022-11-23T01:37:55.4890372Z del async_compile 2022-11-23T01:37:55.4890376Z 2022-11-23T01:37:55.4890445Z def call(args): 2022-11-23T01:37:55.4890514Z arg0_1, = args 2022-11-23T01:37:55.4890572Z args.clear() 2022-11-23T01:37:55.4890813Z buf0 = empty_strided((2, 4, 74), (296, 74, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4891022Z buf4 = empty_strided((2, 4, 74), (296, 74, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4891222Z buf1 = empty_strided((2, 4, 70), (280, 70, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4891420Z buf2 = empty_strided((2, 4, 45), (180, 45, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4891617Z buf3 = empty_strided((2, 4, 36), (144, 36, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4891859Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr())) 2022-11-23T01:37:55.4891962Z del arg0_1 2022-11-23T01:37:55.4892047Z return (buf0, buf1, buf2, buf3, buf4, ) 2022-11-23T01:37:55.4892064Z 2022-11-23T01:37:55.4892069Z 2022-11-23T01:37:55.4892132Z if __name__ == "__main__": 2022-11-23T01:37:55.4892246Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.4892368Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.4892578Z arg0_1 = rand_strided((2, 4, 37), (148, 37, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4892686Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.4892691Z 2022-11-23T01:37:55.4892758Z ok (1.631s) 2022-11-23T01:37:55.4893103Z test_upsample_nearest2d_backward_cpu (__main__.CpuTests) ... [2022-11-23 01:36:01,730] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.4893381Z [2022-11-23 01:36:01,730] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.4893594Z [2022-11-23 01:36:01,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.4893853Z [2022-11-23 01:36:01,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.4894144Z [2022-11-23 01:36:01,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.4894470Z [2022-11-23 01:36:01,731] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.4894800Z [2022-11-23 01:36:01,731] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.4894897Z 2997 0 LOAD_DEREF 0 (func) 2022-11-23T01:37:55.4894984Z 2 LOAD_FAST 0 (a) 2022-11-23T01:37:55.4895076Z 4 LOAD_CONST 1 (6) 2022-11-23T01:37:55.4895167Z 6 LOAD_CONST 2 (12) 2022-11-23T01:37:55.4895243Z 8 BUILD_LIST 2 2022-11-23T01:37:55.4895332Z 10 LOAD_CONST 3 (3) 2022-11-23T01:37:55.4895423Z 12 LOAD_CONST 3 (3) 2022-11-23T01:37:55.4895509Z 14 LOAD_CONST 3 (3) 2022-11-23T01:37:55.4895594Z 16 LOAD_CONST 1 (6) 2022-11-23T01:37:55.4895682Z 18 BUILD_LIST 4 2022-11-23T01:37:55.4895867Z 20 LOAD_CONST 4 (('output_size', 'input_size')) 2022-11-23T01:37:55.4895948Z 22 CALL_FUNCTION_KW 3 2022-11-23T01:37:55.4895953Z 2022-11-23T01:37:55.4896041Z 2998 24 LOAD_DEREF 0 (func) 2022-11-23T01:37:55.4896127Z 26 LOAD_FAST 0 (a) 2022-11-23T01:37:55.4896215Z 28 LOAD_CONST 1 (6) 2022-11-23T01:37:55.4896304Z 30 LOAD_CONST 2 (12) 2022-11-23T01:37:55.4896390Z 32 BUILD_LIST 2 2022-11-23T01:37:55.4896474Z 34 LOAD_CONST 3 (3) 2022-11-23T01:37:55.4896560Z 36 LOAD_CONST 3 (3) 2022-11-23T01:37:55.4896664Z 38 LOAD_CONST 5 (4) 2022-11-23T01:37:55.4896752Z 40 LOAD_CONST 6 (5) 2022-11-23T01:37:55.4896839Z 42 BUILD_LIST 4 2022-11-23T01:37:55.4897023Z 44 LOAD_CONST 4 (('output_size', 'input_size')) 2022-11-23T01:37:55.4897114Z 46 CALL_FUNCTION_KW 3 2022-11-23T01:37:55.4897119Z 2022-11-23T01:37:55.4897210Z 2999 48 LOAD_DEREF 0 (func) 2022-11-23T01:37:55.4897295Z 50 LOAD_FAST 0 (a) 2022-11-23T01:37:55.4897367Z 52 LOAD_CONST 1 (6) 2022-11-23T01:37:55.4897489Z 54 LOAD_CONST 2 (12) 2022-11-23T01:37:55.4897573Z 56 BUILD_LIST 2 2022-11-23T01:37:55.4897657Z 58 LOAD_CONST 3 (3) 2022-11-23T01:37:55.4897742Z 60 LOAD_CONST 3 (3) 2022-11-23T01:37:55.4897830Z 62 LOAD_CONST 7 (2) 2022-11-23T01:37:55.4897916Z 64 LOAD_CONST 8 (8) 2022-11-23T01:37:55.4897989Z 66 BUILD_LIST 4 2022-11-23T01:37:55.4898172Z 68 LOAD_CONST 4 (('output_size', 'input_size')) 2022-11-23T01:37:55.4898263Z 70 CALL_FUNCTION_KW 3 2022-11-23T01:37:55.4898267Z 2022-11-23T01:37:55.4898356Z 3000 72 LOAD_DEREF 0 (func) 2022-11-23T01:37:55.4898441Z 74 LOAD_FAST 0 (a) 2022-11-23T01:37:55.4898525Z 76 LOAD_CONST 1 (6) 2022-11-23T01:37:55.4898614Z 78 LOAD_CONST 2 (12) 2022-11-23T01:37:55.4898701Z 80 BUILD_LIST 2 2022-11-23T01:37:55.4898951Z 82 LOAD_CONST 3 (3) 2022-11-23T01:37:55.4899082Z 84 LOAD_CONST 3 (3) 2022-11-23T01:37:55.4899203Z 86 LOAD_CONST 7 (2) 2022-11-23T01:37:55.4899296Z 88 LOAD_CONST 8 (8) 2022-11-23T01:37:55.4899381Z 90 BUILD_LIST 4 2022-11-23T01:37:55.4899569Z 92 LOAD_CONST 4 (('output_size', 'input_size')) 2022-11-23T01:37:55.4899660Z 94 CALL_FUNCTION_KW 3 2022-11-23T01:37:55.4899665Z 2022-11-23T01:37:55.4899744Z 3001 96 LOAD_DEREF 0 (func) 2022-11-23T01:37:55.4899829Z 98 LOAD_FAST 0 (a) 2022-11-23T01:37:55.4899915Z 100 LOAD_CONST 1 (6) 2022-11-23T01:37:55.4900004Z 102 LOAD_CONST 2 (12) 2022-11-23T01:37:55.4900093Z 104 BUILD_LIST 2 2022-11-23T01:37:55.4900179Z 106 LOAD_CONST 3 (3) 2022-11-23T01:37:55.4900264Z 108 LOAD_CONST 3 (3) 2022-11-23T01:37:55.4900348Z 110 LOAD_CONST 5 (4) 2022-11-23T01:37:55.4900421Z 112 LOAD_CONST 9 (7) 2022-11-23T01:37:55.4900508Z 114 BUILD_LIST 4 2022-11-23T01:37:55.4900690Z 116 LOAD_CONST 4 (('output_size', 'input_size')) 2022-11-23T01:37:55.4900783Z 118 CALL_FUNCTION_KW 3 2022-11-23T01:37:55.4900871Z 120 BUILD_TUPLE 5 2022-11-23T01:37:55.4900948Z 122 RETURN_VALUE 2022-11-23T01:37:55.4901011Z 2022-11-23T01:37:55.4901016Z 2022-11-23T01:37:55.4901276Z [2022-11-23 01:36:01,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2997 2022-11-23T01:37:55.4901499Z [2022-11-23 01:36:01,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF func [] 2022-11-23T01:37:55.4901797Z [2022-11-23 01:36:01,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_nearest2d_backward)] 2022-11-23T01:37:55.4902184Z [2022-11-23 01:36:01,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable()] 2022-11-23T01:37:55.4902545Z [2022-11-23 01:36:01,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4909191Z [2022-11-23 01:36:01,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.4909602Z [2022-11-23 01:36:01,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.4910101Z [2022-11-23 01:36:01,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4910534Z [2022-11-23 01:36:01,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.4910995Z [2022-11-23 01:36:01,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.4911493Z [2022-11-23 01:36:01,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 4 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.4911913Z [2022-11-23 01:36:01,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('output_size', 'input_size') [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:55.4912340Z [2022-11-23 01:36:01,732] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:37:55.4912616Z [2022-11-23 01:36:01,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2998 2022-11-23T01:37:55.4912867Z [2022-11-23 01:36:01,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF func [TensorVariable()] 2022-11-23T01:37:55.4913189Z [2022-11-23 01:36:01,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward)] 2022-11-23T01:37:55.4913525Z [2022-11-23 01:36:01,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable()] 2022-11-23T01:37:55.4913923Z [2022-11-23 01:36:01,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4914355Z [2022-11-23 01:36:01,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.4914731Z [2022-11-23 01:36:01,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.4915146Z [2022-11-23 01:36:01,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4915600Z [2022-11-23 01:36:01,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.4916126Z [2022-11-23 01:36:01,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 5 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.4916654Z [2022-11-23 01:36:01,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 4 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.4917091Z [2022-11-23 01:36:01,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('output_size', 'input_size') [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:55.4917594Z [2022-11-23 01:36:01,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:37:55.4917869Z [2022-11-23 01:36:01,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2999 2022-11-23T01:37:55.4918149Z [2022-11-23 01:36:01,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF func [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4918498Z [2022-11-23 01:36:01,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward)] 2022-11-23T01:37:55.4918878Z [2022-11-23 01:36:01,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable()] 2022-11-23T01:37:55.4919300Z [2022-11-23 01:36:01,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4919757Z [2022-11-23 01:36:01,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.4920144Z [2022-11-23 01:36:01,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.4920583Z [2022-11-23 01:36:01,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4921062Z [2022-11-23 01:36:01,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.4921582Z [2022-11-23 01:36:01,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.4922142Z [2022-11-23 01:36:01,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 4 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.4922613Z [2022-11-23 01:36:01,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('output_size', 'input_size') [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:55.4923137Z [2022-11-23 01:36:01,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:37:55.4923417Z [2022-11-23 01:36:01,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3000 2022-11-23T01:37:55.4923721Z [2022-11-23 01:36:01,737] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF func [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4924099Z [2022-11-23 01:36:01,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward)] 2022-11-23T01:37:55.4924535Z [2022-11-23 01:36:01,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable()] 2022-11-23T01:37:55.4924986Z [2022-11-23 01:36:01,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4925472Z [2022-11-23 01:36:01,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.4925908Z [2022-11-23 01:36:01,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.4926384Z [2022-11-23 01:36:01,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4926889Z [2022-11-23 01:36:01,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.4927431Z [2022-11-23 01:36:01,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.4928017Z [2022-11-23 01:36:01,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 4 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.4928520Z [2022-11-23 01:36:01,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('output_size', 'input_size') [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:55.4929031Z [2022-11-23 01:36:01,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:37:55.4929304Z [2022-11-23 01:36:01,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:3001 2022-11-23T01:37:55.4929623Z [2022-11-23 01:36:01,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF func [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4930059Z [2022-11-23 01:36:01,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward)] 2022-11-23T01:37:55.4930496Z [2022-11-23 01:36:01,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 6 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable()] 2022-11-23T01:37:55.4930978Z [2022-11-23 01:36:01,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4931487Z [2022-11-23 01:36:01,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.4931987Z [2022-11-23 01:36:01,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.4932482Z [2022-11-23 01:36:01,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4933022Z [2022-11-23 01:36:01,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.4933597Z [2022-11-23 01:36:01,739] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 7 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.4934197Z [2022-11-23 01:36:01,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 4 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.4934723Z [2022-11-23 01:36:01,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('output_size', 'input_size') [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable()] 2022-11-23T01:37:55.4935262Z [2022-11-23 01:36:01,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d_backward), TensorVariable(), ListVariable(), ListVariable(), ConstantVariable(tuple)] 2022-11-23T01:37:55.4935623Z [2022-11-23 01:36:01,740] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4935878Z [2022-11-23 01:36:01,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.4936214Z [2022-11-23 01:36:01,741] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.4936468Z [2022-11-23 01:36:01,741] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.4936712Z [2022-11-23 01:36:01,741] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.4936970Z [2022-11-23 01:36:01,743] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.4937242Z [2022-11-23 01:36:01,748] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.4937440Z [2022-11-23 01:36:01,748] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.4937577Z __compiled_fn_416 .3310 opcode, name, target, args, kwargs 2022-11-23T01:37:55.4937670Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.4937981Z call_function, upsample_nearest2d_backward, aten.upsample_nearest2d_backward, (ex_0_,), {'output_size': [6, 12], 'input_size': [3, 3, 3, 6]} 2022-11-23T01:37:55.4938290Z call_function, upsample_nearest2d_backward_1, aten.upsample_nearest2d_backward, (ex_0_,), {'output_size': [6, 12], 'input_size': [3, 3, 4, 5]} 2022-11-23T01:37:55.4938636Z call_function, upsample_nearest2d_backward_2, aten.upsample_nearest2d_backward, (ex_0_,), {'output_size': [6, 12], 'input_size': [3, 3, 2, 8]} 2022-11-23T01:37:55.4939179Z call_function, upsample_nearest2d_backward_3, aten.upsample_nearest2d_backward, (ex_0_,), {'output_size': [6, 12], 'input_size': [3, 3, 2, 8]} 2022-11-23T01:37:55.4939499Z call_function, upsample_nearest2d_backward_4, aten.upsample_nearest2d_backward, (ex_0_,), {'output_size': [6, 12], 'input_size': [3, 3, 4, 7]} 2022-11-23T01:37:55.4939749Z output, output, output, ((upsample_nearest2d_backward, upsample_nearest2d_backward_1, upsample_nearest2d_backward_2, upsample_nearest2d_backward_3, upsample_nearest2d_backward_4),), {} 2022-11-23T01:37:55.4939770Z 2022-11-23T01:37:55.4940042Z [2022-11-23 01:36:01,748] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4940141Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.4940238Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4940333Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.4940425Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.4940503Z 8 RETURN_VALUE 2022-11-23T01:37:55.4940508Z 2022-11-23T01:37:55.4940570Z 2022-11-23T01:37:55.4940852Z [2022-11-23 01:36:01,749] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.4940951Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_416) 2022-11-23T01:37:55.4941045Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.4941136Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4941214Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.4941303Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.4941407Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4941537Z 12 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:55.4941624Z 14 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:55.4941712Z 16 CALL_FUNCTION 0 2022-11-23T01:37:55.4941809Z 18 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:55.4941912Z 20 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4942004Z 22 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4942082Z 24 BINARY_SUBSCR 2022-11-23T01:37:55.4942185Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4942260Z 28 LOAD_CONST 2 (1) 2022-11-23T01:37:55.4942340Z 30 BINARY_SUBSCR 2022-11-23T01:37:55.4942443Z 32 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4942532Z 34 LOAD_CONST 3 (2) 2022-11-23T01:37:55.4942607Z 36 BINARY_SUBSCR 2022-11-23T01:37:55.4942709Z 38 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4942800Z 40 LOAD_CONST 4 (3) 2022-11-23T01:37:55.4942862Z 42 BINARY_SUBSCR 2022-11-23T01:37:55.4942964Z 44 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.4943052Z 46 LOAD_CONST 5 (4) 2022-11-23T01:37:55.4943128Z 48 BINARY_SUBSCR 2022-11-23T01:37:55.4943274Z 50 BUILD_TUPLE 5 2022-11-23T01:37:55.4943371Z 52 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.4943471Z 54 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.4943562Z 56 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4943625Z 58 BINARY_SUBSCR 2022-11-23T01:37:55.4943726Z 60 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:55.4943821Z 62 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.4943920Z 64 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.4944077Z 66 LOAD_CONST 1 (0) 2022-11-23T01:37:55.4944153Z 68 BINARY_SUBSCR 2022-11-23T01:37:55.4944256Z 70 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:55.4944320Z 72 RETURN_VALUE 2022-11-23T01:37:55.4944325Z 2022-11-23T01:37:55.4944387Z 2022-11-23T01:37:55.4944579Z [2022-11-23 01:36:01,749] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.4944655Z - 2022-11-23T01:37:55.4944776Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.4944843Z { 2022-11-23T01:37:55.4944988Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.4945164Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.4945287Z 'obj_weakref': None 2022-11-23T01:37:55.4945517Z 'guarded_class': 2022-11-23T01:37:55.4945587Z } 2022-11-23T01:37:55.4945651Z 2022-11-23T01:37:55.4945728Z - 2022-11-23T01:37:55.4945855Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.4945906Z { 2022-11-23T01:37:55.4946053Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.4946164Z 'code': None, 2022-11-23T01:37:55.4946386Z 'obj_weakref': 2022-11-23T01:37:55.4946646Z 'guarded_class': 2022-11-23T01:37:55.4946712Z } 2022-11-23T01:37:55.4946775Z 2022-11-23T01:37:55.4946834Z - 2022-11-23T01:37:55.4946965Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.4947029Z { 2022-11-23T01:37:55.4947165Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.4947338Z 'code': ['___check_obj_id(model, 140538746436928)'], 2022-11-23T01:37:55.4947461Z 'obj_weakref': None 2022-11-23T01:37:55.4947699Z 'guarded_class': 2022-11-23T01:37:55.4947751Z } 2022-11-23T01:37:55.4947815Z 2022-11-23T01:37:55.4947888Z - 2022-11-23T01:37:55.4948013Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.4948080Z { 2022-11-23T01:37:55.4948317Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.4948538Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.4948647Z 'obj_weakref': None 2022-11-23T01:37:55.4948871Z 'guarded_class': 2022-11-23T01:37:55.4948935Z } 2022-11-23T01:37:55.4948998Z 2022-11-23T01:37:55.4949070Z - 2022-11-23T01:37:55.4949260Z local 'model.__closure__[0].cell_contents' FUNCTION_MATCH 2022-11-23T01:37:55.4949325Z { 2022-11-23T01:37:55.4949453Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.4949670Z 'code': ['___check_obj_id(model.__closure__[0].cell_contents, 140539394298064)'], 2022-11-23T01:37:55.4949912Z 'obj_weakref': 2022-11-23T01:37:55.4950203Z 'guarded_class': 2022-11-23T01:37:55.4950272Z } 2022-11-23T01:37:55.4950335Z 2022-11-23T01:37:55.4950603Z [2022-11-23 01:36:01,758] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 408 2022-11-23T01:37:55.4950609Z 2022-11-23T01:37:55.4950705Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.4950760Z import torch 2022-11-23T01:37:55.4950831Z import random 2022-11-23T01:37:55.4950946Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.4951069Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.4951106Z 2022-11-23T01:37:55.4951186Z aten = torch.ops.aten 2022-11-23T01:37:55.4951322Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.4951415Z async_compile = AsyncCompile() 2022-11-23T01:37:55.4951419Z 2022-11-23T01:37:55.4951423Z 2022-11-23T01:37:55.4951562Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.4951759Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.4951878Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.4951979Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.4952078Z float* __restrict__ out_ptr1, 2022-11-23T01:37:55.4952174Z float* __restrict__ out_ptr2, 2022-11-23T01:37:55.4952266Z float* __restrict__ out_ptr3, 2022-11-23T01:37:55.4952358Z float* __restrict__ out_ptr4) 2022-11-23T01:37:55.4952406Z { 2022-11-23T01:37:55.4952485Z #pragma GCC ivdep 2022-11-23T01:37:55.4952569Z for(long i0=0; i0<9; i0+=1) 2022-11-23T01:37:55.4952632Z { 2022-11-23T01:37:55.4952710Z #pragma GCC ivdep 2022-11-23T01:37:55.4952795Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:37:55.4952858Z { 2022-11-23T01:37:55.4952924Z #pragma GCC ivdep 2022-11-23T01:37:55.4953011Z for(long i2=0; i2<5; i2+=1) 2022-11-23T01:37:55.4953078Z { 2022-11-23T01:37:55.4953142Z { 2022-11-23T01:37:55.4953210Z { 2022-11-23T01:37:55.4953330Z auto tmp0 = static_cast(((3 + (6*i1)) / 4)); 2022-11-23T01:37:55.4953447Z auto tmp1 = static_cast(((9 + (6*i1)) / 4)); 2022-11-23T01:37:55.4953528Z auto tmp2 = tmp0 < tmp1; 2022-11-23T01:37:55.4953642Z auto tmp3 = static_cast(((4 + (12*i2)) / 5)); 2022-11-23T01:37:55.4953759Z auto tmp4 = static_cast(((16 + (12*i2)) / 5)); 2022-11-23T01:37:55.4953855Z auto tmp5 = tmp3 < tmp4; 2022-11-23T01:37:55.4953951Z auto tmp6 = tmp2 & tmp5; 2022-11-23T01:37:55.4954038Z float tmp7 = 0.0; 2022-11-23T01:37:55.4954117Z if(tmp6) 2022-11-23T01:37:55.4954173Z { 2022-11-23T01:37:55.4954302Z auto tmp8 = in_ptr0[(12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))]; 2022-11-23T01:37:55.4954384Z tmp7 = tmp8; 2022-11-23T01:37:55.4954454Z } 2022-11-23T01:37:55.4954575Z auto tmp9 = static_cast(1 + (((4 + (12*i2)) / 5))); 2022-11-23T01:37:55.4954669Z auto tmp10 = tmp9 < tmp4; 2022-11-23T01:37:55.4954765Z auto tmp11 = tmp2 & tmp10; 2022-11-23T01:37:55.4954839Z float tmp12 = 0.0; 2022-11-23T01:37:55.4954917Z if(tmp11) 2022-11-23T01:37:55.4954989Z { 2022-11-23T01:37:55.4955117Z auto tmp13 = in_ptr0[1 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))]; 2022-11-23T01:37:55.4955201Z tmp12 = tmp13; 2022-11-23T01:37:55.4955269Z } 2022-11-23T01:37:55.4955395Z auto tmp14 = tmp12 + tmp7; 2022-11-23T01:37:55.4955519Z auto tmp15 = static_cast(2 + (((4 + (12*i2)) / 5))); 2022-11-23T01:37:55.4955600Z auto tmp16 = tmp15 < tmp4; 2022-11-23T01:37:55.4955692Z auto tmp17 = tmp2 & tmp16; 2022-11-23T01:37:55.4955777Z float tmp18 = 0.0; 2022-11-23T01:37:55.4955856Z if(tmp17) 2022-11-23T01:37:55.4955924Z { 2022-11-23T01:37:55.4956052Z auto tmp19 = in_ptr0[2 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))]; 2022-11-23T01:37:55.4956165Z tmp18 = tmp19; 2022-11-23T01:37:55.4956220Z } 2022-11-23T01:37:55.4956318Z auto tmp20 = tmp18 + tmp14; 2022-11-23T01:37:55.4956438Z auto tmp21 = static_cast(1 + (((3 + (6*i1)) / 4))); 2022-11-23T01:37:55.4956531Z auto tmp22 = tmp21 < tmp1; 2022-11-23T01:37:55.4956620Z auto tmp23 = tmp22 & tmp5; 2022-11-23T01:37:55.4956716Z float tmp24 = 0.0; 2022-11-23T01:37:55.4956793Z if(tmp23) 2022-11-23T01:37:55.4956848Z { 2022-11-23T01:37:55.4956979Z auto tmp25 = in_ptr0[12 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))]; 2022-11-23T01:37:55.4957061Z tmp24 = tmp25; 2022-11-23T01:37:55.4957126Z } 2022-11-23T01:37:55.4957219Z auto tmp26 = tmp24 + tmp20; 2022-11-23T01:37:55.4957311Z auto tmp27 = tmp22 & tmp10; 2022-11-23T01:37:55.4957395Z float tmp28 = 0.0; 2022-11-23T01:37:55.4957457Z if(tmp27) 2022-11-23T01:37:55.4957525Z { 2022-11-23T01:37:55.4957652Z auto tmp29 = in_ptr0[13 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))]; 2022-11-23T01:37:55.4957733Z tmp28 = tmp29; 2022-11-23T01:37:55.4957799Z } 2022-11-23T01:37:55.4957892Z auto tmp30 = tmp28 + tmp26; 2022-11-23T01:37:55.4957983Z auto tmp31 = tmp22 & tmp16; 2022-11-23T01:37:55.4958067Z float tmp32 = 0.0; 2022-11-23T01:37:55.4958130Z if(tmp31) 2022-11-23T01:37:55.4958196Z { 2022-11-23T01:37:55.4958322Z auto tmp33 = in_ptr0[14 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((4 + (12*i2)) / 5))]; 2022-11-23T01:37:55.4958404Z tmp32 = tmp33; 2022-11-23T01:37:55.4958470Z } 2022-11-23T01:37:55.4958561Z auto tmp34 = tmp32 + tmp30; 2022-11-23T01:37:55.4958660Z out_ptr0[i2 + (5*i1) + (20*i0)] = tmp34; 2022-11-23T01:37:55.4958714Z } 2022-11-23T01:37:55.4958780Z } 2022-11-23T01:37:55.4958843Z } 2022-11-23T01:37:55.4958904Z } 2022-11-23T01:37:55.4958968Z } 2022-11-23T01:37:55.4959045Z #pragma GCC ivdep 2022-11-23T01:37:55.4959128Z for(long i0=0; i0<27; i0+=1) 2022-11-23T01:37:55.4959176Z { 2022-11-23T01:37:55.4959254Z #pragma GCC ivdep 2022-11-23T01:37:55.4959337Z for(long i1=0; i1<6; i1+=1) 2022-11-23T01:37:55.4959404Z { 2022-11-23T01:37:55.4959469Z { 2022-11-23T01:37:55.4959533Z { 2022-11-23T01:37:55.4959624Z auto tmp0 = in_ptr0[(2*i1) + (24*i0)]; 2022-11-23T01:37:55.4959730Z auto tmp1 = in_ptr0[1 + (2*i1) + (24*i0)]; 2022-11-23T01:37:55.4959836Z auto tmp3 = in_ptr0[12 + (2*i1) + (24*i0)]; 2022-11-23T01:37:55.4959939Z auto tmp5 = in_ptr0[13 + (2*i1) + (24*i0)]; 2022-11-23T01:37:55.4960032Z auto tmp2 = tmp1 + tmp0; 2022-11-23T01:37:55.4960150Z auto tmp4 = tmp3 + tmp2; 2022-11-23T01:37:55.4960241Z auto tmp6 = tmp5 + tmp4; 2022-11-23T01:37:55.4960334Z auto tmp7 = static_cast(1.0); 2022-11-23T01:37:55.4960422Z auto tmp8 = tmp6 * tmp7; 2022-11-23T01:37:55.4960515Z out_ptr1[i1 + (6*i0)] = tmp8; 2022-11-23T01:37:55.4960587Z } 2022-11-23T01:37:55.4960652Z } 2022-11-23T01:37:55.4960715Z } 2022-11-23T01:37:55.4960777Z } 2022-11-23T01:37:55.4960839Z #pragma GCC ivdep 2022-11-23T01:37:55.4960922Z for(long i0=0; i0<9; i0+=1) 2022-11-23T01:37:55.4961031Z { 2022-11-23T01:37:55.4961108Z #pragma GCC ivdep 2022-11-23T01:37:55.4961192Z for(long i1=0; i1<2; i1+=1) 2022-11-23T01:37:55.4961254Z { 2022-11-23T01:37:55.4961334Z #pragma GCC ivdep 2022-11-23T01:37:55.4961403Z for(long i2=0; i2<8; i2+=1) 2022-11-23T01:37:55.4961465Z { 2022-11-23T01:37:55.4961532Z { 2022-11-23T01:37:55.4961600Z { 2022-11-23T01:37:55.4961710Z auto tmp0 = static_cast(3*i1); 2022-11-23T01:37:55.4961821Z auto tmp1 = static_cast(3 + (3*i1)); 2022-11-23T01:37:55.4961916Z auto tmp2 = tmp0 < tmp1; 2022-11-23T01:37:55.4962019Z auto tmp3 = static_cast(((7 + (12*i2)) / 8)); 2022-11-23T01:37:55.4962137Z auto tmp4 = static_cast(((19 + (12*i2)) / 8)); 2022-11-23T01:37:55.4962235Z auto tmp5 = tmp3 < tmp4; 2022-11-23T01:37:55.4962331Z auto tmp6 = tmp2 & tmp5; 2022-11-23T01:37:55.4962418Z float tmp7 = 0.0; 2022-11-23T01:37:55.4962492Z if(tmp6) 2022-11-23T01:37:55.4962562Z { 2022-11-23T01:37:55.4962668Z auto tmp8 = in_ptr0[(36*i1) + (72*i0) + (((7 + (12*i2)) / 8))]; 2022-11-23T01:37:55.4962754Z tmp7 = tmp8; 2022-11-23T01:37:55.4962822Z } 2022-11-23T01:37:55.4962940Z auto tmp9 = static_cast(1 + (((7 + (12*i2)) / 8))); 2022-11-23T01:37:55.4963035Z auto tmp10 = tmp9 < tmp4; 2022-11-23T01:37:55.4963131Z auto tmp11 = tmp2 & tmp10; 2022-11-23T01:37:55.4963218Z float tmp12 = 0.0; 2022-11-23T01:37:55.4963280Z if(tmp11) 2022-11-23T01:37:55.4963348Z { 2022-11-23T01:37:55.4963470Z auto tmp13 = in_ptr0[1 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))]; 2022-11-23T01:37:55.4963557Z tmp12 = tmp13; 2022-11-23T01:37:55.4963624Z } 2022-11-23T01:37:55.4963717Z auto tmp14 = tmp12 + tmp7; 2022-11-23T01:37:55.4963826Z auto tmp15 = static_cast(1 + (3*i1)); 2022-11-23T01:37:55.4963920Z auto tmp16 = tmp15 < tmp1; 2022-11-23T01:37:55.4963999Z auto tmp17 = tmp16 & tmp5; 2022-11-23T01:37:55.4964084Z float tmp18 = 0.0; 2022-11-23T01:37:55.4964159Z if(tmp17) 2022-11-23T01:37:55.4964228Z { 2022-11-23T01:37:55.4964346Z auto tmp19 = in_ptr0[12 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))]; 2022-11-23T01:37:55.4964429Z tmp18 = tmp19; 2022-11-23T01:37:55.4964497Z } 2022-11-23T01:37:55.4964578Z auto tmp20 = tmp18 + tmp14; 2022-11-23T01:37:55.4964674Z auto tmp21 = tmp16 & tmp10; 2022-11-23T01:37:55.4964756Z float tmp22 = 0.0; 2022-11-23T01:37:55.4964829Z if(tmp21) 2022-11-23T01:37:55.4964895Z { 2022-11-23T01:37:55.4965041Z auto tmp23 = in_ptr0[13 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))]; 2022-11-23T01:37:55.4965122Z tmp22 = tmp23; 2022-11-23T01:37:55.4965175Z } 2022-11-23T01:37:55.4965265Z auto tmp24 = tmp22 + tmp20; 2022-11-23T01:37:55.4965376Z auto tmp25 = static_cast(2 + (3*i1)); 2022-11-23T01:37:55.4965467Z auto tmp26 = tmp25 < tmp1; 2022-11-23T01:37:55.4965555Z auto tmp27 = tmp26 & tmp5; 2022-11-23T01:37:55.4965637Z float tmp28 = 0.0; 2022-11-23T01:37:55.4965711Z if(tmp27) 2022-11-23T01:37:55.4965796Z { 2022-11-23T01:37:55.4965911Z auto tmp29 = in_ptr0[24 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))]; 2022-11-23T01:37:55.4965992Z tmp28 = tmp29; 2022-11-23T01:37:55.4966059Z } 2022-11-23T01:37:55.4966148Z auto tmp30 = tmp28 + tmp24; 2022-11-23T01:37:55.4966242Z auto tmp31 = tmp26 & tmp10; 2022-11-23T01:37:55.4966323Z float tmp32 = 0.0; 2022-11-23T01:37:55.4966401Z if(tmp31) 2022-11-23T01:37:55.4966456Z { 2022-11-23T01:37:55.4966568Z auto tmp33 = in_ptr0[25 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))]; 2022-11-23T01:37:55.4966647Z tmp32 = tmp33; 2022-11-23T01:37:55.4966713Z } 2022-11-23T01:37:55.4966803Z auto tmp34 = tmp32 + tmp30; 2022-11-23T01:37:55.4966885Z float tmp35 = 0.0; 2022-11-23T01:37:55.4966960Z if(tmp6) 2022-11-23T01:37:55.4967015Z { 2022-11-23T01:37:55.4967132Z auto tmp36 = in_ptr0[(36*i1) + (72*i0) + (((7 + (12*i2)) / 8))]; 2022-11-23T01:37:55.4967212Z tmp35 = tmp36; 2022-11-23T01:37:55.4967279Z } 2022-11-23T01:37:55.4967361Z float tmp37 = 0.0; 2022-11-23T01:37:55.4967434Z if(tmp11) 2022-11-23T01:37:55.4967502Z { 2022-11-23T01:37:55.4967608Z auto tmp38 = in_ptr0[1 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))]; 2022-11-23T01:37:55.4967689Z tmp37 = tmp38; 2022-11-23T01:37:55.4967754Z } 2022-11-23T01:37:55.4967847Z auto tmp39 = tmp37 + tmp35; 2022-11-23T01:37:55.4967931Z float tmp40 = 0.0; 2022-11-23T01:37:55.4968006Z if(tmp17) 2022-11-23T01:37:55.4968071Z { 2022-11-23T01:37:55.4968179Z auto tmp41 = in_ptr0[12 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))]; 2022-11-23T01:37:55.4968258Z tmp40 = tmp41; 2022-11-23T01:37:55.4968324Z } 2022-11-23T01:37:55.4968419Z auto tmp42 = tmp40 + tmp39; 2022-11-23T01:37:55.4968501Z float tmp43 = 0.0; 2022-11-23T01:37:55.4968574Z if(tmp21) 2022-11-23T01:37:55.4968640Z { 2022-11-23T01:37:55.4968743Z auto tmp44 = in_ptr0[13 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))]; 2022-11-23T01:37:55.4968822Z tmp43 = tmp44; 2022-11-23T01:37:55.4968887Z } 2022-11-23T01:37:55.4968978Z auto tmp45 = tmp43 + tmp42; 2022-11-23T01:37:55.4969060Z float tmp46 = 0.0; 2022-11-23T01:37:55.4969138Z if(tmp27) 2022-11-23T01:37:55.4969203Z { 2022-11-23T01:37:55.4969304Z auto tmp47 = in_ptr0[24 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))]; 2022-11-23T01:37:55.4969383Z tmp46 = tmp47; 2022-11-23T01:37:55.4969449Z } 2022-11-23T01:37:55.4969570Z auto tmp48 = tmp46 + tmp45; 2022-11-23T01:37:55.4969654Z float tmp49 = 0.0; 2022-11-23T01:37:55.4969727Z if(tmp31) 2022-11-23T01:37:55.4969791Z { 2022-11-23T01:37:55.4969903Z auto tmp50 = in_ptr0[25 + (36*i1) + (72*i0) + (((7 + (12*i2)) / 8))]; 2022-11-23T01:37:55.4969970Z tmp49 = tmp50; 2022-11-23T01:37:55.4970035Z } 2022-11-23T01:37:55.4970125Z auto tmp51 = tmp49 + tmp48; 2022-11-23T01:37:55.4970228Z out_ptr2[i2 + (8*i1) + (16*i0)] = tmp34; 2022-11-23T01:37:55.4970359Z out_ptr3[i2 + (8*i1) + (16*i0)] = tmp51; 2022-11-23T01:37:55.4970427Z } 2022-11-23T01:37:55.4970490Z } 2022-11-23T01:37:55.4970539Z } 2022-11-23T01:37:55.4970602Z } 2022-11-23T01:37:55.4970664Z } 2022-11-23T01:37:55.4970741Z #pragma GCC ivdep 2022-11-23T01:37:55.4970823Z for(long i0=0; i0<9; i0+=1) 2022-11-23T01:37:55.4970883Z { 2022-11-23T01:37:55.4970946Z #pragma GCC ivdep 2022-11-23T01:37:55.4971026Z for(long i1=0; i1<4; i1+=1) 2022-11-23T01:37:55.4971088Z { 2022-11-23T01:37:55.4971165Z #pragma GCC ivdep 2022-11-23T01:37:55.4971247Z for(long i2=0; i2<7; i2+=1) 2022-11-23T01:37:55.4971311Z { 2022-11-23T01:37:55.4971373Z { 2022-11-23T01:37:55.4971426Z { 2022-11-23T01:37:55.4971541Z auto tmp0 = static_cast(((3 + (6*i1)) / 4)); 2022-11-23T01:37:55.4971657Z auto tmp1 = static_cast(((9 + (6*i1)) / 4)); 2022-11-23T01:37:55.4971751Z auto tmp2 = tmp0 < tmp1; 2022-11-23T01:37:55.4971866Z auto tmp3 = static_cast(((6 + (12*i2)) / 7)); 2022-11-23T01:37:55.4971985Z auto tmp4 = static_cast(((18 + (12*i2)) / 7)); 2022-11-23T01:37:55.4972077Z auto tmp5 = tmp3 < tmp4; 2022-11-23T01:37:55.4972158Z auto tmp6 = tmp2 & tmp5; 2022-11-23T01:37:55.4972243Z float tmp7 = 0.0; 2022-11-23T01:37:55.4972316Z if(tmp6) 2022-11-23T01:37:55.4972383Z { 2022-11-23T01:37:55.4972509Z auto tmp8 = in_ptr0[(12*(((3 + (6*i1)) / 4))) + (72*i0) + (((6 + (12*i2)) / 7))]; 2022-11-23T01:37:55.4972590Z tmp7 = tmp8; 2022-11-23T01:37:55.4972657Z } 2022-11-23T01:37:55.4972779Z auto tmp9 = static_cast(1 + (((6 + (12*i2)) / 7))); 2022-11-23T01:37:55.4972861Z auto tmp10 = tmp9 < tmp4; 2022-11-23T01:37:55.4972954Z auto tmp11 = tmp2 & tmp10; 2022-11-23T01:37:55.4973039Z float tmp12 = 0.0; 2022-11-23T01:37:55.4973116Z if(tmp11) 2022-11-23T01:37:55.4973186Z { 2022-11-23T01:37:55.4973313Z auto tmp13 = in_ptr0[1 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((6 + (12*i2)) / 7))]; 2022-11-23T01:37:55.4973395Z tmp12 = tmp13; 2022-11-23T01:37:55.4973449Z } 2022-11-23T01:37:55.4973543Z auto tmp14 = tmp12 + tmp7; 2022-11-23T01:37:55.4973661Z auto tmp15 = static_cast(1 + (((3 + (6*i1)) / 4))); 2022-11-23T01:37:55.4973753Z auto tmp16 = tmp15 < tmp1; 2022-11-23T01:37:55.4973844Z auto tmp17 = tmp16 & tmp5; 2022-11-23T01:37:55.4973930Z float tmp18 = 0.0; 2022-11-23T01:37:55.4974002Z if(tmp17) 2022-11-23T01:37:55.4974056Z { 2022-11-23T01:37:55.4974182Z auto tmp19 = in_ptr0[12 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((6 + (12*i2)) / 7))]; 2022-11-23T01:37:55.4974291Z tmp18 = tmp19; 2022-11-23T01:37:55.4974361Z } 2022-11-23T01:37:55.4974455Z auto tmp20 = tmp18 + tmp14; 2022-11-23T01:37:55.4974546Z auto tmp21 = tmp16 & tmp10; 2022-11-23T01:37:55.4974632Z float tmp22 = 0.0; 2022-11-23T01:37:55.4974695Z if(tmp21) 2022-11-23T01:37:55.4974761Z { 2022-11-23T01:37:55.4974884Z auto tmp23 = in_ptr0[13 + (12*(((3 + (6*i1)) / 4))) + (72*i0) + (((6 + (12*i2)) / 7))]; 2022-11-23T01:37:55.4974997Z tmp22 = tmp23; 2022-11-23T01:37:55.4975065Z } 2022-11-23T01:37:55.4975160Z auto tmp24 = tmp22 + tmp20; 2022-11-23T01:37:55.4975261Z out_ptr4[i2 + (7*i1) + (28*i0)] = tmp24; 2022-11-23T01:37:55.4975326Z } 2022-11-23T01:37:55.4975376Z } 2022-11-23T01:37:55.4975441Z } 2022-11-23T01:37:55.4975502Z } 2022-11-23T01:37:55.4975563Z } 2022-11-23T01:37:55.4975621Z } 2022-11-23T01:37:55.4975719Z ''') 2022-11-23T01:37:55.4975727Z 2022-11-23T01:37:55.4975731Z 2022-11-23T01:37:55.4975821Z async_compile.wait(globals()) 2022-11-23T01:37:55.4975880Z del async_compile 2022-11-23T01:37:55.4975885Z 2022-11-23T01:37:55.4975954Z def call(args): 2022-11-23T01:37:55.4976025Z arg0_1, = args 2022-11-23T01:37:55.4976097Z args.clear() 2022-11-23T01:37:55.4976315Z buf0 = empty_strided((3, 3, 4, 5), (60, 20, 5, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4976534Z buf1 = empty_strided((3, 3, 3, 6), (54, 18, 6, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4976745Z buf2 = empty_strided((3, 3, 2, 8), (48, 16, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4976942Z buf3 = empty_strided((3, 3, 2, 8), (48, 16, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4977151Z buf4 = empty_strided((3, 3, 4, 7), (84, 28, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4977394Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf4.data_ptr())) 2022-11-23T01:37:55.4977462Z del arg0_1 2022-11-23T01:37:55.4977558Z return (buf1, buf0, buf2, buf3, buf4, ) 2022-11-23T01:37:55.4977563Z 2022-11-23T01:37:55.4977568Z 2022-11-23T01:37:55.4977644Z if __name__ == "__main__": 2022-11-23T01:37:55.4977756Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.4977878Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.4978097Z arg0_1 = rand_strided((3, 3, 6, 12), (216, 72, 12, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.4978192Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.4978572Z [2022-11-23 01:36:03,858] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qo/cqocjdzsyt6ehmht7jbclri4s6pikwsdyxcpp3enzo5bjx2mq6ue.py 2022-11-23T01:37:55.4979060Z [2022-11-23 01:36:03,858] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 408 2022-11-23T01:37:55.4979069Z 2022-11-23T01:37:55.4979168Z ok (2.136s) 2022-11-23T01:37:55.4979512Z test_upsample_nearest2d_cpu (__main__.CpuTests) ... [2022-11-23 01:36:03,867] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.4979787Z [2022-11-23 01:36:03,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.4980012Z [2022-11-23 01:36:03,867] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.4980275Z [2022-11-23 01:36:03,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.4980564Z [2022-11-23 01:36:03,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.4980959Z [2022-11-23 01:36:03,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.4981296Z [2022-11-23 01:36:03,868] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.4981392Z 2971 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.4981505Z 2 LOAD_METHOD 1 (upsample_nearest2d) 2022-11-23T01:37:55.4981597Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.4981729Z 6 LOAD_CONST 1 (74) 2022-11-23T01:37:55.4981818Z 8 LOAD_CONST 2 (76) 2022-11-23T01:37:55.4981907Z 10 BUILD_LIST 2 2022-11-23T01:37:55.4981983Z 12 CALL_METHOD 2 2022-11-23T01:37:55.4981989Z 2022-11-23T01:37:55.4982083Z 2972 14 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.4982194Z 16 LOAD_METHOD 1 (upsample_nearest2d) 2022-11-23T01:37:55.4982283Z 18 LOAD_FAST 0 (a) 2022-11-23T01:37:55.4982372Z 20 LOAD_CONST 3 (70) 2022-11-23T01:37:55.4982459Z 22 LOAD_CONST 4 (75) 2022-11-23T01:37:55.4982545Z 24 BUILD_LIST 2 2022-11-23T01:37:55.4982631Z 26 CALL_METHOD 2 2022-11-23T01:37:55.4982636Z 2022-11-23T01:37:55.4982714Z 2973 28 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.4982821Z 30 LOAD_METHOD 1 (upsample_nearest2d) 2022-11-23T01:37:55.4982912Z 32 LOAD_FAST 0 (a) 2022-11-23T01:37:55.4982999Z 34 LOAD_CONST 5 (45) 2022-11-23T01:37:55.4983089Z 36 LOAD_CONST 1 (74) 2022-11-23T01:37:55.4983174Z 38 BUILD_LIST 2 2022-11-23T01:37:55.4983263Z 40 CALL_METHOD 2 2022-11-23T01:37:55.4983268Z 2022-11-23T01:37:55.4983345Z 2974 42 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.4983451Z 44 LOAD_METHOD 1 (upsample_nearest2d) 2022-11-23T01:37:55.4983537Z 46 LOAD_FAST 0 (a) 2022-11-23T01:37:55.4983623Z 48 LOAD_CONST 6 (36) 2022-11-23T01:37:55.4983708Z 50 LOAD_CONST 7 (39) 2022-11-23T01:37:55.4983792Z 52 BUILD_LIST 2 2022-11-23T01:37:55.4983877Z 54 CALL_METHOD 2 2022-11-23T01:37:55.4983883Z 2022-11-23T01:37:55.4983972Z 2975 56 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.4984065Z 58 LOAD_METHOD 1 (upsample_nearest2d) 2022-11-23T01:37:55.4984150Z 60 LOAD_FAST 0 (a) 2022-11-23T01:37:55.4984239Z 62 LOAD_CONST 0 (None) 2022-11-23T01:37:55.4984330Z 64 LOAD_CONST 8 (2.0) 2022-11-23T01:37:55.4984420Z 66 LOAD_CONST 8 (2.0) 2022-11-23T01:37:55.4984504Z 68 BUILD_LIST 2 2022-11-23T01:37:55.4984586Z 70 CALL_METHOD 3 2022-11-23T01:37:55.4984659Z 72 BUILD_TUPLE 5 2022-11-23T01:37:55.4984732Z 74 RETURN_VALUE 2022-11-23T01:37:55.4984793Z 2022-11-23T01:37:55.4984798Z 2022-11-23T01:37:55.4985074Z [2022-11-23 01:36:03,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2971 2022-11-23T01:37:55.4985295Z [2022-11-23 01:36:03,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.4985631Z [2022-11-23 01:36:03,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest2d [TorchVariable()] 2022-11-23T01:37:55.4985944Z [2022-11-23 01:36:03,874] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_nearest2d)] 2022-11-23T01:37:55.4986259Z [2022-11-23 01:36:03,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 74 [TorchVariable(aten.upsample_nearest2d), TensorVariable()] 2022-11-23T01:37:55.4986605Z [2022-11-23 01:36:03,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 76 [TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4986989Z [2022-11-23 01:36:03,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.4987347Z [2022-11-23 01:36:03,875] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.upsample_nearest2d), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.4987618Z [2022-11-23 01:36:03,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2972 2022-11-23T01:37:55.4987869Z [2022-11-23 01:36:03,876] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:55.4988318Z [2022-11-23 01:36:03,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest2d [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.4988626Z [2022-11-23 01:36:03,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_nearest2d)] 2022-11-23T01:37:55.4988958Z [2022-11-23 01:36:03,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 70 [TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable()] 2022-11-23T01:37:55.4989330Z [2022-11-23 01:36:03,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 75 [TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4989743Z [2022-11-23 01:36:03,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.4990107Z [2022-11-23 01:36:03,882] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.4990375Z [2022-11-23 01:36:03,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2973 2022-11-23T01:37:55.4990649Z [2022-11-23 01:36:03,883] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4991026Z [2022-11-23 01:36:03,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest2d [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.4991363Z [2022-11-23 01:36:03,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d)] 2022-11-23T01:37:55.4991729Z [2022-11-23 01:36:03,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 45 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable()] 2022-11-23T01:37:55.4992132Z [2022-11-23 01:36:03,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 74 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4992568Z [2022-11-23 01:36:03,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.4992964Z [2022-11-23 01:36:03,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.4993266Z [2022-11-23 01:36:03,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2974 2022-11-23T01:37:55.4993572Z [2022-11-23 01:36:03,890] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4993990Z [2022-11-23 01:36:03,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest2d [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.4994355Z [2022-11-23 01:36:03,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d)] 2022-11-23T01:37:55.4994782Z [2022-11-23 01:36:03,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 36 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable()] 2022-11-23T01:37:55.4995216Z [2022-11-23 01:36:03,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 39 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.4995688Z [2022-11-23 01:36:03,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.4996111Z [2022-11-23 01:36:03,896] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.4996386Z [2022-11-23 01:36:03,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2975 2022-11-23T01:37:55.4996706Z [2022-11-23 01:36:03,897] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.4997155Z [2022-11-23 01:36:03,902] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest2d [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.4997545Z [2022-11-23 01:36:03,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d)] 2022-11-23T01:37:55.4997970Z [2022-11-23 01:36:03,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable()] 2022-11-23T01:37:55.4998443Z [2022-11-23 01:36:03,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:55.4998958Z [2022-11-23 01:36:03,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(float)] 2022-11-23T01:37:55.4999510Z [2022-11-23 01:36:03,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(float), ConstantVariable(float)] 2022-11-23T01:37:55.5000009Z [2022-11-23 01:36:03,903] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest2d), TensorVariable(), ConstantVariable(NoneType), ListVariable()] 2022-11-23T01:37:55.5000398Z [2022-11-23 01:36:03,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.5000653Z [2022-11-23 01:36:03,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5000990Z [2022-11-23 01:36:03,904] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.5001241Z [2022-11-23 01:36:03,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5001479Z [2022-11-23 01:36:03,904] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.5001782Z [2022-11-23 01:36:03,906] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.5002021Z [2022-11-23 01:36:03,910] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.5002218Z [2022-11-23 01:36:03,911] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.5002357Z __compiled_fn_417 .3316 opcode, name, target, args, kwargs 2022-11-23T01:37:55.5002450Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.5002601Z call_function, upsample_nearest2d, aten.upsample_nearest2d, (ex_0_, [74, 76]), {} 2022-11-23T01:37:55.5002749Z call_function, upsample_nearest2d_1, aten.upsample_nearest2d, (ex_0_, [70, 75]), {} 2022-11-23T01:37:55.5002895Z call_function, upsample_nearest2d_2, aten.upsample_nearest2d, (ex_0_, [45, 74]), {} 2022-11-23T01:37:55.5003035Z call_function, upsample_nearest2d_3, aten.upsample_nearest2d, (ex_0_, [36, 39]), {} 2022-11-23T01:37:55.5003180Z call_function, upsample_nearest2d_4, aten.upsample_nearest2d, (ex_0_, None, [2.0, 2.0]), {} 2022-11-23T01:37:55.5003401Z output, output, output, ((upsample_nearest2d, upsample_nearest2d_1, upsample_nearest2d_2, upsample_nearest2d_3, upsample_nearest2d_4),), {} 2022-11-23T01:37:55.5003410Z 2022-11-23T01:37:55.5003697Z [2022-11-23 01:36:03,911] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5003793Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5003886Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5003980Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.5004073Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.5004152Z 8 RETURN_VALUE 2022-11-23T01:37:55.5004158Z 2022-11-23T01:37:55.5004221Z 2022-11-23T01:37:55.5004486Z [2022-11-23 01:36:03,911] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5004600Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_417) 2022-11-23T01:37:55.5004693Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5004785Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5004859Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.5004951Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.5005056Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5005144Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5005234Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5005309Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.5005411Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5005499Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.5005577Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.5005677Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5005756Z 26 LOAD_CONST 3 (2) 2022-11-23T01:37:55.5005833Z 28 BINARY_SUBSCR 2022-11-23T01:37:55.5005934Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5006025Z 32 LOAD_CONST 4 (3) 2022-11-23T01:37:55.5006098Z 34 BINARY_SUBSCR 2022-11-23T01:37:55.5006235Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5006322Z 38 LOAD_CONST 5 (4) 2022-11-23T01:37:55.5006385Z 40 BINARY_SUBSCR 2022-11-23T01:37:55.5006471Z 42 BUILD_TUPLE 5 2022-11-23T01:37:55.5006546Z 44 RETURN_VALUE 2022-11-23T01:37:55.5006551Z 2022-11-23T01:37:55.5006609Z 2022-11-23T01:37:55.5006796Z [2022-11-23 01:36:03,912] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.5006870Z - 2022-11-23T01:37:55.5006991Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.5007043Z { 2022-11-23T01:37:55.5007221Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.5007412Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.5007534Z 'obj_weakref': None 2022-11-23T01:37:55.5007760Z 'guarded_class': 2022-11-23T01:37:55.5007831Z } 2022-11-23T01:37:55.5007894Z 2022-11-23T01:37:55.5007951Z - 2022-11-23T01:37:55.5008081Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.5008145Z { 2022-11-23T01:37:55.5008289Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5008401Z 'code': None, 2022-11-23T01:37:55.5008618Z 'obj_weakref': 2022-11-23T01:37:55.5008878Z 'guarded_class': 2022-11-23T01:37:55.5008942Z } 2022-11-23T01:37:55.5008992Z 2022-11-23T01:37:55.5009064Z - 2022-11-23T01:37:55.5009196Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.5009262Z { 2022-11-23T01:37:55.5009398Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.5009569Z 'code': ['___check_obj_id(model, 140538746954960)'], 2022-11-23T01:37:55.5009680Z 'obj_weakref': None 2022-11-23T01:37:55.5009914Z 'guarded_class': 2022-11-23T01:37:55.5009979Z } 2022-11-23T01:37:55.5010042Z 2022-11-23T01:37:55.5010111Z - 2022-11-23T01:37:55.5010235Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.5010298Z { 2022-11-23T01:37:55.5010423Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.5010642Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.5010766Z 'obj_weakref': None 2022-11-23T01:37:55.5010991Z 'guarded_class': 2022-11-23T01:37:55.5011054Z } 2022-11-23T01:37:55.5011117Z 2022-11-23T01:37:55.5011187Z - 2022-11-23T01:37:55.5011307Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.5011374Z { 2022-11-23T01:37:55.5011493Z 'guard_types': None, 2022-11-23T01:37:55.5011602Z 'code': None, 2022-11-23T01:37:55.5011723Z 'obj_weakref': None 2022-11-23T01:37:55.5011846Z 'guarded_class': None 2022-11-23T01:37:55.5011908Z } 2022-11-23T01:37:55.5011957Z 2022-11-23T01:37:55.5012218Z [2022-11-23 01:36:03,920] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 409 2022-11-23T01:37:55.5012591Z [2022-11-23 01:36:05,433] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kz/ckz2obfxr7gikp3a3qiex4momqdrgfdncvubcztf3cy2zsewdg76.py 2022-11-23T01:37:55.5012859Z [2022-11-23 01:36:05,434] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 409 2022-11-23T01:37:55.5012865Z 2022-11-23T01:37:55.5012958Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.5013024Z import torch 2022-11-23T01:37:55.5013094Z import random 2022-11-23T01:37:55.5013240Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.5013350Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.5013355Z 2022-11-23T01:37:55.5013433Z aten = torch.ops.aten 2022-11-23T01:37:55.5013565Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.5013655Z async_compile = AsyncCompile() 2022-11-23T01:37:55.5013661Z 2022-11-23T01:37:55.5013665Z 2022-11-23T01:37:55.5013801Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.5014006Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.5014157Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.5014255Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.5014340Z float* __restrict__ out_ptr1, 2022-11-23T01:37:55.5014432Z float* __restrict__ out_ptr2, 2022-11-23T01:37:55.5014527Z float* __restrict__ out_ptr3, 2022-11-23T01:37:55.5014618Z float* __restrict__ out_ptr4) 2022-11-23T01:37:55.5014679Z { 2022-11-23T01:37:55.5014756Z #pragma GCC ivdep 2022-11-23T01:37:55.5014834Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.5014882Z { 2022-11-23T01:37:55.5014959Z #pragma GCC ivdep 2022-11-23T01:37:55.5015041Z for(long i1=0; i1<74; i1+=1) 2022-11-23T01:37:55.5015103Z { 2022-11-23T01:37:55.5015181Z #pragma GCC ivdep 2022-11-23T01:37:55.5015264Z for(long i2=0; i2<76; i2+=1) 2022-11-23T01:37:55.5015326Z { 2022-11-23T01:37:55.5015380Z { 2022-11-23T01:37:55.5015446Z { 2022-11-23T01:37:55.5015552Z auto tmp0 = static_cast(i1); 2022-11-23T01:37:55.5015660Z auto tmp1 = static_cast(0.5); 2022-11-23T01:37:55.5015751Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.5015859Z auto tmp3 = static_cast(tmp2); 2022-11-23T01:37:55.5015964Z auto tmp4 = static_cast(i2); 2022-11-23T01:37:55.5016044Z auto tmp5 = tmp4 * tmp1; 2022-11-23T01:37:55.5016149Z auto tmp6 = static_cast(tmp5); 2022-11-23T01:37:55.5016262Z auto tmp7 = in_ptr0[tmp6 + (38*tmp3) + (1406*i0)]; 2022-11-23T01:37:55.5016366Z out_ptr0[i2 + (76*i1) + (5624*i0)] = tmp7; 2022-11-23T01:37:55.5016464Z out_ptr1[i2 + (76*i1) + (5624*i0)] = tmp7; 2022-11-23T01:37:55.5016528Z } 2022-11-23T01:37:55.5016593Z } 2022-11-23T01:37:55.5016643Z } 2022-11-23T01:37:55.5016704Z } 2022-11-23T01:37:55.5016764Z } 2022-11-23T01:37:55.5016839Z #pragma GCC ivdep 2022-11-23T01:37:55.5016916Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.5016976Z { 2022-11-23T01:37:55.5017052Z #pragma GCC ivdep 2022-11-23T01:37:55.5017123Z for(long i1=0; i1<70; i1+=1) 2022-11-23T01:37:55.5017185Z { 2022-11-23T01:37:55.5017264Z #pragma GCC ivdep 2022-11-23T01:37:55.5017348Z for(long i2=0; i2<75; i2+=1) 2022-11-23T01:37:55.5017409Z { 2022-11-23T01:37:55.5017471Z { 2022-11-23T01:37:55.5017525Z { 2022-11-23T01:37:55.5017631Z auto tmp0 = static_cast(i1); 2022-11-23T01:37:55.5017744Z auto tmp1 = static_cast(0.5285714285714286); 2022-11-23T01:37:55.5017836Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.5017943Z auto tmp3 = static_cast(tmp2); 2022-11-23T01:37:55.5018045Z auto tmp4 = static_cast(i2); 2022-11-23T01:37:55.5018156Z auto tmp5 = static_cast(0.5066666666666667); 2022-11-23T01:37:55.5018246Z auto tmp6 = tmp4 * tmp5; 2022-11-23T01:37:55.5018366Z auto tmp7 = static_cast(tmp6); 2022-11-23T01:37:55.5018483Z auto tmp8 = in_ptr0[tmp7 + (38*tmp3) + (1406*i0)]; 2022-11-23T01:37:55.5018585Z out_ptr2[i2 + (75*i1) + (5250*i0)] = tmp8; 2022-11-23T01:37:55.5018649Z } 2022-11-23T01:37:55.5018712Z } 2022-11-23T01:37:55.5018946Z } 2022-11-23T01:37:55.5019045Z } 2022-11-23T01:37:55.5019121Z } 2022-11-23T01:37:55.5019224Z #pragma GCC ivdep 2022-11-23T01:37:55.5019310Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.5019369Z { 2022-11-23T01:37:55.5019500Z #pragma GCC ivdep 2022-11-23T01:37:55.5019584Z for(long i1=0; i1<45; i1+=1) 2022-11-23T01:37:55.5019634Z { 2022-11-23T01:37:55.5019712Z #pragma GCC ivdep 2022-11-23T01:37:55.5019795Z for(long i2=0; i2<74; i2+=1) 2022-11-23T01:37:55.5019859Z { 2022-11-23T01:37:55.5019923Z { 2022-11-23T01:37:55.5019989Z { 2022-11-23T01:37:55.5020096Z auto tmp0 = static_cast(i1); 2022-11-23T01:37:55.5020196Z auto tmp1 = static_cast(0.8222222222222222); 2022-11-23T01:37:55.5020289Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.5020396Z auto tmp3 = static_cast(tmp2); 2022-11-23T01:37:55.5020499Z auto tmp4 = static_cast(i2); 2022-11-23T01:37:55.5020612Z auto tmp5 = static_cast(0.5135135135135135); 2022-11-23T01:37:55.5020705Z auto tmp6 = tmp4 * tmp5; 2022-11-23T01:37:55.5020810Z auto tmp7 = static_cast(tmp6); 2022-11-23T01:37:55.5020926Z auto tmp8 = in_ptr0[tmp7 + (38*tmp3) + (1406*i0)]; 2022-11-23T01:37:55.5021016Z out_ptr3[i2 + (74*i1) + (3330*i0)] = tmp8; 2022-11-23T01:37:55.5021081Z } 2022-11-23T01:37:55.5021145Z } 2022-11-23T01:37:55.5021207Z } 2022-11-23T01:37:55.5021270Z } 2022-11-23T01:37:55.5021330Z } 2022-11-23T01:37:55.5021391Z #pragma GCC ivdep 2022-11-23T01:37:55.5021469Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.5021528Z { 2022-11-23T01:37:55.5021601Z #pragma GCC ivdep 2022-11-23T01:37:55.5021682Z for(long i1=0; i1<36; i1+=1) 2022-11-23T01:37:55.5021744Z { 2022-11-23T01:37:55.5021821Z #pragma GCC ivdep 2022-11-23T01:37:55.5021894Z for(long i2=0; i2<39; i2+=1) 2022-11-23T01:37:55.5021954Z { 2022-11-23T01:37:55.5022021Z { 2022-11-23T01:37:55.5022086Z { 2022-11-23T01:37:55.5022193Z auto tmp0 = static_cast(i1); 2022-11-23T01:37:55.5022305Z auto tmp1 = static_cast(1.0277777777777777); 2022-11-23T01:37:55.5022397Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.5022491Z auto tmp3 = static_cast(tmp2); 2022-11-23T01:37:55.5022592Z auto tmp4 = static_cast(i2); 2022-11-23T01:37:55.5022702Z auto tmp5 = static_cast(0.9743589743589743); 2022-11-23T01:37:55.5022794Z auto tmp6 = tmp4 * tmp5; 2022-11-23T01:37:55.5022897Z auto tmp7 = static_cast(tmp6); 2022-11-23T01:37:55.5023010Z auto tmp8 = in_ptr0[tmp7 + (38*tmp3) + (1406*i0)]; 2022-11-23T01:37:55.5023111Z out_ptr4[i2 + (39*i1) + (1404*i0)] = tmp8; 2022-11-23T01:37:55.5023175Z } 2022-11-23T01:37:55.5023228Z } 2022-11-23T01:37:55.5023290Z } 2022-11-23T01:37:55.5023349Z } 2022-11-23T01:37:55.5023410Z } 2022-11-23T01:37:55.5023469Z } 2022-11-23T01:37:55.5023561Z ''') 2022-11-23T01:37:55.5023567Z 2022-11-23T01:37:55.5023571Z 2022-11-23T01:37:55.5023658Z async_compile.wait(globals()) 2022-11-23T01:37:55.5023757Z del async_compile 2022-11-23T01:37:55.5023763Z 2022-11-23T01:37:55.5023835Z def call(args): 2022-11-23T01:37:55.5023903Z arg0_1, = args 2022-11-23T01:37:55.5023975Z args.clear() 2022-11-23T01:37:55.5024207Z buf0 = empty_strided((2, 4, 74, 76), (22496, 5624, 76, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5024434Z buf4 = empty_strided((2, 4, 74, 76), (22496, 5624, 76, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5024659Z buf1 = empty_strided((2, 4, 70, 75), (21000, 5250, 75, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5024866Z buf2 = empty_strided((2, 4, 45, 74), (13320, 3330, 74, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5025119Z buf3 = empty_strided((2, 4, 36, 39), (5616, 1404, 39, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5025361Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr())) 2022-11-23T01:37:55.5025431Z del arg0_1 2022-11-23T01:37:55.5025529Z return (buf0, buf1, buf2, buf3, buf4, ) 2022-11-23T01:37:55.5025534Z 2022-11-23T01:37:55.5025538Z 2022-11-23T01:37:55.5025614Z if __name__ == "__main__": 2022-11-23T01:37:55.5025727Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.5025851Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.5026075Z arg0_1 = rand_strided((2, 4, 37, 38), (5624, 1406, 38, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5026172Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.5026179Z 2022-11-23T01:37:55.5026245Z ok (1.579s) 2022-11-23T01:37:55.5026574Z test_upsample_nearest3d_cpu (__main__.CpuTests) ... [2022-11-23 01:36:05,475] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.5026854Z [2022-11-23 01:36:05,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.5027080Z [2022-11-23 01:36:05,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.5027336Z [2022-11-23 01:36:05,475] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.5027626Z [2022-11-23 01:36:05,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.5027951Z [2022-11-23 01:36:05,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.5028363Z [2022-11-23 01:36:05,476] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.5028452Z 2983 0 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.5028564Z 2 LOAD_METHOD 1 (upsample_nearest3d) 2022-11-23T01:37:55.5028659Z 4 LOAD_FAST 0 (a) 2022-11-23T01:37:55.5028751Z 6 LOAD_CONST 1 (74) 2022-11-23T01:37:55.5028841Z 8 LOAD_CONST 2 (76) 2022-11-23T01:37:55.5028928Z 10 LOAD_CONST 3 (78) 2022-11-23T01:37:55.5029016Z 12 BUILD_LIST 3 2022-11-23T01:37:55.5029109Z 14 LOAD_CONST 0 (None) 2022-11-23T01:37:55.5029184Z 16 CALL_METHOD 3 2022-11-23T01:37:55.5029189Z 2022-11-23T01:37:55.5029281Z 2984 18 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.5029391Z 20 LOAD_METHOD 1 (upsample_nearest3d) 2022-11-23T01:37:55.5029484Z 22 LOAD_FAST 0 (a) 2022-11-23T01:37:55.5029573Z 24 LOAD_CONST 4 (70) 2022-11-23T01:37:55.5029664Z 26 LOAD_CONST 5 (75) 2022-11-23T01:37:55.5029753Z 28 LOAD_CONST 6 (80) 2022-11-23T01:37:55.5029860Z 30 BUILD_LIST 3 2022-11-23T01:37:55.5029953Z 32 LOAD_CONST 0 (None) 2022-11-23T01:37:55.5030039Z 34 CALL_METHOD 3 2022-11-23T01:37:55.5030044Z 2022-11-23T01:37:55.5030135Z 2985 36 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.5030246Z 38 LOAD_METHOD 1 (upsample_nearest3d) 2022-11-23T01:37:55.5030335Z 40 LOAD_FAST 0 (a) 2022-11-23T01:37:55.5030420Z 42 LOAD_CONST 7 (45) 2022-11-23T01:37:55.5030508Z 44 LOAD_CONST 1 (74) 2022-11-23T01:37:55.5030615Z 46 LOAD_CONST 8 (103) 2022-11-23T01:37:55.5030702Z 48 BUILD_LIST 3 2022-11-23T01:37:55.5030791Z 50 LOAD_CONST 0 (None) 2022-11-23T01:37:55.5030876Z 52 CALL_METHOD 3 2022-11-23T01:37:55.5030881Z 2022-11-23T01:37:55.5030974Z 2986 54 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.5031082Z 56 LOAD_METHOD 1 (upsample_nearest3d) 2022-11-23T01:37:55.5031170Z 58 LOAD_FAST 0 (a) 2022-11-23T01:37:55.5031245Z 60 LOAD_CONST 9 (36) 2022-11-23T01:37:55.5031332Z 62 LOAD_CONST 10 (39) 2022-11-23T01:37:55.5031420Z 64 LOAD_CONST 11 (40) 2022-11-23T01:37:55.5031507Z 66 BUILD_LIST 3 2022-11-23T01:37:55.5031597Z 68 LOAD_CONST 0 (None) 2022-11-23T01:37:55.5031686Z 70 CALL_METHOD 3 2022-11-23T01:37:55.5031693Z 2022-11-23T01:37:55.5031785Z 2987 72 LOAD_GLOBAL 0 (aten) 2022-11-23T01:37:55.5031899Z 74 LOAD_METHOD 1 (upsample_nearest3d) 2022-11-23T01:37:55.5031975Z 76 LOAD_FAST 0 (a) 2022-11-23T01:37:55.5032065Z 78 LOAD_CONST 0 (None) 2022-11-23T01:37:55.5032156Z 80 LOAD_CONST 12 (2.0) 2022-11-23T01:37:55.5032248Z 82 LOAD_CONST 12 (2.0) 2022-11-23T01:37:55.5032338Z 84 LOAD_CONST 12 (2.0) 2022-11-23T01:37:55.5032424Z 86 BUILD_LIST 3 2022-11-23T01:37:55.5032512Z 88 CALL_METHOD 3 2022-11-23T01:37:55.5032587Z 90 BUILD_TUPLE 5 2022-11-23T01:37:55.5032664Z 92 RETURN_VALUE 2022-11-23T01:37:55.5032725Z 2022-11-23T01:37:55.5032729Z 2022-11-23T01:37:55.5033009Z [2022-11-23 01:36:05,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2983 2022-11-23T01:37:55.5033236Z [2022-11-23 01:36:05,476] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [] 2022-11-23T01:37:55.5033578Z [2022-11-23 01:36:05,482] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest3d [TorchVariable()] 2022-11-23T01:37:55.5033860Z [2022-11-23 01:36:05,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TorchVariable(aten.upsample_nearest3d)] 2022-11-23T01:37:55.5034170Z [2022-11-23 01:36:05,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 74 [TorchVariable(aten.upsample_nearest3d), TensorVariable()] 2022-11-23T01:37:55.5034517Z [2022-11-23 01:36:05,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 76 [TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.5034888Z [2022-11-23 01:36:05,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 78 [TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.5035314Z [2022-11-23 01:36:05,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.5035718Z [2022-11-23 01:36:05,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.5036102Z [2022-11-23 01:36:05,483] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:55.5036376Z [2022-11-23 01:36:05,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2984 2022-11-23T01:37:55.5036630Z [2022-11-23 01:36:05,484] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable()] 2022-11-23T01:37:55.5037023Z [2022-11-23 01:36:05,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest3d [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.5037332Z [2022-11-23 01:36:05,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(aten.upsample_nearest3d)] 2022-11-23T01:37:55.5037669Z [2022-11-23 01:36:05,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 70 [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable()] 2022-11-23T01:37:55.5038043Z [2022-11-23 01:36:05,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 75 [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.5038457Z [2022-11-23 01:36:05,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 80 [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.5038909Z [2022-11-23 01:36:05,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.5039279Z [2022-11-23 01:36:05,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.5039675Z [2022-11-23 01:36:05,490] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:55.5039948Z [2022-11-23 01:36:05,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2985 2022-11-23T01:37:55.5040223Z [2022-11-23 01:36:05,491] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.5040617Z [2022-11-23 01:36:05,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest3d [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.5040954Z [2022-11-23 01:36:05,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d)] 2022-11-23T01:37:55.5041320Z [2022-11-23 01:36:05,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 45 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable()] 2022-11-23T01:37:55.5041725Z [2022-11-23 01:36:05,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 74 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.5042171Z [2022-11-23 01:36:05,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 103 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.5042652Z [2022-11-23 01:36:05,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.5043077Z [2022-11-23 01:36:05,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.5043519Z [2022-11-23 01:36:05,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:55.5043793Z [2022-11-23 01:36:05,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2986 2022-11-23T01:37:55.5044145Z [2022-11-23 01:36:05,498] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.5044563Z [2022-11-23 01:36:05,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest3d [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.5044911Z [2022-11-23 01:36:05,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d)] 2022-11-23T01:37:55.5045305Z [2022-11-23 01:36:05,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 36 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable()] 2022-11-23T01:37:55.5045737Z [2022-11-23 01:36:05,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 39 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.5046233Z [2022-11-23 01:36:05,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 40 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.5046838Z [2022-11-23 01:36:05,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.5047261Z [2022-11-23 01:36:05,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.5047730Z [2022-11-23 01:36:05,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ListVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:55.5048008Z [2022-11-23 01:36:05,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2987 2022-11-23T01:37:55.5048342Z [2022-11-23 01:36:05,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL aten [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.5048794Z [2022-11-23 01:36:05,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR upsample_nearest3d [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.5049186Z [2022-11-23 01:36:05,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d)] 2022-11-23T01:37:55.5049605Z [2022-11-23 01:36:05,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable()] 2022-11-23T01:37:55.5050111Z [2022-11-23 01:36:05,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(NoneType)] 2022-11-23T01:37:55.5050626Z [2022-11-23 01:36:05,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(float)] 2022-11-23T01:37:55.5051181Z [2022-11-23 01:36:05,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2.0 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(float), ConstantVariable(float)] 2022-11-23T01:37:55.5051802Z [2022-11-23 01:36:05,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(NoneType), ConstantVariable(float), ConstantVariable(float), ConstantVariable(float)] 2022-11-23T01:37:55.5052297Z [2022-11-23 01:36:05,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(aten.upsample_nearest3d), TensorVariable(), ConstantVariable(NoneType), ListVariable()] 2022-11-23T01:37:55.5052650Z [2022-11-23 01:36:05,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 5 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.5052899Z [2022-11-23 01:36:05,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5053225Z [2022-11-23 01:36:05,512] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.5053473Z [2022-11-23 01:36:05,512] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5053715Z [2022-11-23 01:36:05,512] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.5053973Z [2022-11-23 01:36:05,514] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.5054227Z [2022-11-23 01:36:05,519] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.5054420Z [2022-11-23 01:36:05,519] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.5054556Z __compiled_fn_418 .3322 opcode, name, target, args, kwargs 2022-11-23T01:37:55.5054645Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.5054791Z call_function, upsample_nearest3d, aten.upsample_nearest3d, (ex_0_, [74, 76, 78], None), {} 2022-11-23T01:37:55.5054944Z call_function, upsample_nearest3d_1, aten.upsample_nearest3d, (ex_0_, [70, 75, 80], None), {} 2022-11-23T01:37:55.5055097Z call_function, upsample_nearest3d_2, aten.upsample_nearest3d, (ex_0_, [45, 74, 103], None), {} 2022-11-23T01:37:55.5055248Z call_function, upsample_nearest3d_3, aten.upsample_nearest3d, (ex_0_, [36, 39, 40], None), {} 2022-11-23T01:37:55.5055403Z call_function, upsample_nearest3d_4, aten.upsample_nearest3d, (ex_0_, None, [2.0, 2.0, 2.0]), {} 2022-11-23T01:37:55.5055617Z output, output, output, ((upsample_nearest3d, upsample_nearest3d_1, upsample_nearest3d_2, upsample_nearest3d_3, upsample_nearest3d_4),), {} 2022-11-23T01:37:55.5055624Z 2022-11-23T01:37:55.5055907Z [2022-11-23 01:36:05,519] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5056002Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5056096Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5056177Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.5056266Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.5056341Z 8 RETURN_VALUE 2022-11-23T01:37:55.5056346Z 2022-11-23T01:37:55.5056436Z 2022-11-23T01:37:55.5056718Z [2022-11-23 01:36:05,520] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5056827Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_418) 2022-11-23T01:37:55.5056917Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5057006Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5057071Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.5057159Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.5057262Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5057398Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5057485Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5057560Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.5057660Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5057736Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.5057814Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.5057914Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5058001Z 26 LOAD_CONST 3 (2) 2022-11-23T01:37:55.5058075Z 28 BINARY_SUBSCR 2022-11-23T01:37:55.5058174Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5058261Z 32 LOAD_CONST 4 (3) 2022-11-23T01:37:55.5058323Z 34 BINARY_SUBSCR 2022-11-23T01:37:55.5058420Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5058506Z 38 LOAD_CONST 5 (4) 2022-11-23T01:37:55.5058583Z 40 BINARY_SUBSCR 2022-11-23T01:37:55.5058672Z 42 BUILD_TUPLE 5 2022-11-23T01:37:55.5058885Z 44 RETURN_VALUE 2022-11-23T01:37:55.5058894Z 2022-11-23T01:37:55.5058994Z 2022-11-23T01:37:55.5059228Z [2022-11-23 01:36:05,520] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.5059292Z - 2022-11-23T01:37:55.5059411Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.5059479Z { 2022-11-23T01:37:55.5059627Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.5059816Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.5059939Z 'obj_weakref': None 2022-11-23T01:37:55.5060167Z 'guarded_class': 2022-11-23T01:37:55.5060219Z } 2022-11-23T01:37:55.5060281Z 2022-11-23T01:37:55.5060352Z - 2022-11-23T01:37:55.5060483Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.5060549Z { 2022-11-23T01:37:55.5060692Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5060788Z 'code': None, 2022-11-23T01:37:55.5061005Z 'obj_weakref': 2022-11-23T01:37:55.5061261Z 'guarded_class': 2022-11-23T01:37:55.5061325Z } 2022-11-23T01:37:55.5061386Z 2022-11-23T01:37:55.5061457Z - 2022-11-23T01:37:55.5061590Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.5061640Z { 2022-11-23T01:37:55.5061775Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.5061945Z 'code': ['___check_obj_id(model, 140538440601472)'], 2022-11-23T01:37:55.5062067Z 'obj_weakref': None 2022-11-23T01:37:55.5062301Z 'guarded_class': 2022-11-23T01:37:55.5062367Z } 2022-11-23T01:37:55.5062427Z 2022-11-23T01:37:55.5062485Z - 2022-11-23T01:37:55.5062608Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.5062669Z { 2022-11-23T01:37:55.5062807Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.5063089Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.5063214Z 'obj_weakref': None 2022-11-23T01:37:55.5063441Z 'guarded_class': 2022-11-23T01:37:55.5063505Z } 2022-11-23T01:37:55.5063555Z 2022-11-23T01:37:55.5063624Z - 2022-11-23T01:37:55.5063756Z global 'aten' FUNCTION_MATCH 2022-11-23T01:37:55.5063818Z { 2022-11-23T01:37:55.5063940Z 'guard_types': None, 2022-11-23T01:37:55.5064094Z 'code': None, 2022-11-23T01:37:55.5064202Z 'obj_weakref': None 2022-11-23T01:37:55.5064326Z 'guarded_class': None 2022-11-23T01:37:55.5064388Z } 2022-11-23T01:37:55.5064448Z 2022-11-23T01:37:55.5064713Z [2022-11-23 01:36:05,529] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 410 2022-11-23T01:37:55.5065083Z [2022-11-23 01:36:07,062] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nj/cnjrwxtjr7by7e5tu223ahb4cbt3euwxqobmeg44r2fulci4ha5p.py 2022-11-23T01:37:55.5065352Z [2022-11-23 01:36:07,063] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 410 2022-11-23T01:37:55.5065358Z 2022-11-23T01:37:55.5065450Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.5065507Z import torch 2022-11-23T01:37:55.5065577Z import random 2022-11-23T01:37:55.5065691Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.5065814Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.5065822Z 2022-11-23T01:37:55.5065898Z aten = torch.ops.aten 2022-11-23T01:37:55.5066031Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.5066122Z async_compile = AsyncCompile() 2022-11-23T01:37:55.5066128Z 2022-11-23T01:37:55.5066132Z 2022-11-23T01:37:55.5066271Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.5066464Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.5066583Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.5066682Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.5066779Z float* __restrict__ out_ptr1, 2022-11-23T01:37:55.5066874Z float* __restrict__ out_ptr2, 2022-11-23T01:37:55.5066968Z float* __restrict__ out_ptr3, 2022-11-23T01:37:55.5067060Z float* __restrict__ out_ptr4) 2022-11-23T01:37:55.5067110Z { 2022-11-23T01:37:55.5067186Z #pragma GCC ivdep 2022-11-23T01:37:55.5067266Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.5067327Z { 2022-11-23T01:37:55.5067403Z #pragma GCC ivdep 2022-11-23T01:37:55.5067489Z for(long i1=0; i1<74; i1+=1) 2022-11-23T01:37:55.5067551Z { 2022-11-23T01:37:55.5067619Z #pragma GCC ivdep 2022-11-23T01:37:55.5067702Z for(long i2=0; i2<76; i2+=1) 2022-11-23T01:37:55.5067764Z { 2022-11-23T01:37:55.5067844Z #pragma GCC ivdep 2022-11-23T01:37:55.5067931Z for(long i3=0; i3<78; i3+=1) 2022-11-23T01:37:55.5067994Z { 2022-11-23T01:37:55.5068058Z { 2022-11-23T01:37:55.5068183Z { 2022-11-23T01:37:55.5068300Z auto tmp0 = static_cast(i1); 2022-11-23T01:37:55.5068409Z auto tmp1 = static_cast(0.5); 2022-11-23T01:37:55.5068502Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.5068612Z auto tmp3 = static_cast(tmp2); 2022-11-23T01:37:55.5068722Z auto tmp4 = static_cast(i2); 2022-11-23T01:37:55.5068816Z auto tmp5 = tmp4 * tmp1; 2022-11-23T01:37:55.5068945Z auto tmp6 = static_cast(tmp5); 2022-11-23T01:37:55.5069056Z auto tmp7 = static_cast(i3); 2022-11-23T01:37:55.5069151Z auto tmp8 = tmp7 * tmp1; 2022-11-23T01:37:55.5069258Z auto tmp9 = static_cast(tmp8); 2022-11-23T01:37:55.5069385Z auto tmp10 = in_ptr0[tmp9 + (39*tmp6) + (1482*tmp3) + (54834*i0)]; 2022-11-23T01:37:55.5069499Z out_ptr0[i3 + (78*i2) + (5928*i1) + (438672*i0)] = tmp10; 2022-11-23T01:37:55.5069608Z out_ptr1[i3 + (78*i2) + (5928*i1) + (438672*i0)] = tmp10; 2022-11-23T01:37:55.5069711Z } 2022-11-23T01:37:55.5069764Z } 2022-11-23T01:37:55.5069827Z } 2022-11-23T01:37:55.5069888Z } 2022-11-23T01:37:55.5069949Z } 2022-11-23T01:37:55.5070008Z } 2022-11-23T01:37:55.5070083Z #pragma GCC ivdep 2022-11-23T01:37:55.5070149Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.5070211Z { 2022-11-23T01:37:55.5070287Z #pragma GCC ivdep 2022-11-23T01:37:55.5070367Z for(long i1=0; i1<70; i1+=1) 2022-11-23T01:37:55.5070428Z { 2022-11-23T01:37:55.5070505Z #pragma GCC ivdep 2022-11-23T01:37:55.5070589Z for(long i2=0; i2<75; i2+=1) 2022-11-23T01:37:55.5070638Z { 2022-11-23T01:37:55.5070718Z #pragma GCC ivdep 2022-11-23T01:37:55.5070805Z for(long i3=0; i3<80; i3+=1) 2022-11-23T01:37:55.5070868Z { 2022-11-23T01:37:55.5070931Z { 2022-11-23T01:37:55.5070997Z { 2022-11-23T01:37:55.5071104Z auto tmp0 = static_cast(i1); 2022-11-23T01:37:55.5071208Z auto tmp1 = static_cast(0.5285714285714286); 2022-11-23T01:37:55.5071303Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.5071410Z auto tmp3 = static_cast(tmp2); 2022-11-23T01:37:55.5071515Z auto tmp4 = static_cast(i2); 2022-11-23T01:37:55.5071632Z auto tmp5 = static_cast(0.5066666666666667); 2022-11-23T01:37:55.5071725Z auto tmp6 = tmp4 * tmp5; 2022-11-23T01:37:55.5071831Z auto tmp7 = static_cast(tmp6); 2022-11-23T01:37:55.5071935Z auto tmp8 = static_cast(i3); 2022-11-23T01:37:55.5072032Z auto tmp9 = static_cast(0.4875); 2022-11-23T01:37:55.5072125Z auto tmp10 = tmp8 * tmp9; 2022-11-23T01:37:55.5072236Z auto tmp11 = static_cast(tmp10); 2022-11-23T01:37:55.5072362Z auto tmp12 = in_ptr0[tmp11 + (39*tmp7) + (1482*tmp3) + (54834*i0)]; 2022-11-23T01:37:55.5072474Z out_ptr2[i3 + (80*i2) + (6000*i1) + (420000*i0)] = tmp12; 2022-11-23T01:37:55.5072543Z } 2022-11-23T01:37:55.5072608Z } 2022-11-23T01:37:55.5072660Z } 2022-11-23T01:37:55.5072722Z } 2022-11-23T01:37:55.5072783Z } 2022-11-23T01:37:55.5072843Z } 2022-11-23T01:37:55.5072916Z #pragma GCC ivdep 2022-11-23T01:37:55.5072993Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.5073052Z { 2022-11-23T01:37:55.5073116Z #pragma GCC ivdep 2022-11-23T01:37:55.5073194Z for(long i1=0; i1<45; i1+=1) 2022-11-23T01:37:55.5073257Z { 2022-11-23T01:37:55.5073334Z #pragma GCC ivdep 2022-11-23T01:37:55.5073417Z for(long i2=0; i2<74; i2+=1) 2022-11-23T01:37:55.5073481Z { 2022-11-23T01:37:55.5073548Z #pragma GCC ivdep 2022-11-23T01:37:55.5073637Z for(long i3=0; i3<103; i3+=1) 2022-11-23T01:37:55.5073700Z { 2022-11-23T01:37:55.5073766Z { 2022-11-23T01:37:55.5073833Z { 2022-11-23T01:37:55.5073975Z auto tmp0 = static_cast(i1); 2022-11-23T01:37:55.5074091Z auto tmp1 = static_cast(0.8222222222222222); 2022-11-23T01:37:55.5074174Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.5074280Z auto tmp3 = static_cast(tmp2); 2022-11-23T01:37:55.5074386Z auto tmp4 = static_cast(i2); 2022-11-23T01:37:55.5074501Z auto tmp5 = static_cast(0.5135135135135135); 2022-11-23T01:37:55.5074596Z auto tmp6 = tmp4 * tmp5; 2022-11-23T01:37:55.5074734Z auto tmp7 = static_cast(tmp6); 2022-11-23T01:37:55.5074839Z auto tmp8 = static_cast(i3); 2022-11-23T01:37:55.5074954Z auto tmp9 = static_cast(0.3786407766990291); 2022-11-23T01:37:55.5075038Z auto tmp10 = tmp8 * tmp9; 2022-11-23T01:37:55.5075147Z auto tmp11 = static_cast(tmp10); 2022-11-23T01:37:55.5075273Z auto tmp12 = in_ptr0[tmp11 + (39*tmp7) + (1482*tmp3) + (54834*i0)]; 2022-11-23T01:37:55.5075391Z out_ptr3[i3 + (103*i2) + (7622*i1) + (342990*i0)] = tmp12; 2022-11-23T01:37:55.5075459Z } 2022-11-23T01:37:55.5075525Z } 2022-11-23T01:37:55.5075591Z } 2022-11-23T01:37:55.5075642Z } 2022-11-23T01:37:55.5075705Z } 2022-11-23T01:37:55.5075765Z } 2022-11-23T01:37:55.5075839Z #pragma GCC ivdep 2022-11-23T01:37:55.5075919Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.5075978Z { 2022-11-23T01:37:55.5076052Z #pragma GCC ivdep 2022-11-23T01:37:55.5076120Z for(long i1=0; i1<36; i1+=1) 2022-11-23T01:37:55.5076180Z { 2022-11-23T01:37:55.5076259Z #pragma GCC ivdep 2022-11-23T01:37:55.5076345Z for(long i2=0; i2<39; i2+=1) 2022-11-23T01:37:55.5076407Z { 2022-11-23T01:37:55.5076487Z #pragma GCC ivdep 2022-11-23T01:37:55.5076572Z for(long i3=0; i3<40; i3+=1) 2022-11-23T01:37:55.5076623Z { 2022-11-23T01:37:55.5076688Z { 2022-11-23T01:37:55.5076754Z { 2022-11-23T01:37:55.5076859Z auto tmp0 = static_cast(i1); 2022-11-23T01:37:55.5076976Z auto tmp1 = static_cast(1.0277777777777777); 2022-11-23T01:37:55.5077074Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.5077184Z auto tmp3 = static_cast(tmp2); 2022-11-23T01:37:55.5077279Z auto tmp4 = static_cast(i2); 2022-11-23T01:37:55.5077395Z auto tmp5 = static_cast(0.9743589743589743); 2022-11-23T01:37:55.5077497Z auto tmp6 = tmp4 * tmp5; 2022-11-23T01:37:55.5077607Z auto tmp7 = static_cast(tmp6); 2022-11-23T01:37:55.5077713Z auto tmp8 = static_cast(i3); 2022-11-23T01:37:55.5077824Z auto tmp9 = static_cast(0.975); 2022-11-23T01:37:55.5077925Z auto tmp10 = tmp8 * tmp9; 2022-11-23T01:37:55.5078021Z auto tmp11 = static_cast(tmp10); 2022-11-23T01:37:55.5078150Z auto tmp12 = in_ptr0[tmp11 + (39*tmp7) + (1482*tmp3) + (54834*i0)]; 2022-11-23T01:37:55.5078265Z out_ptr4[i3 + (40*i2) + (1560*i1) + (56160*i0)] = tmp12; 2022-11-23T01:37:55.5078337Z } 2022-11-23T01:37:55.5078404Z } 2022-11-23T01:37:55.5078470Z } 2022-11-23T01:37:55.5078535Z } 2022-11-23T01:37:55.5078585Z } 2022-11-23T01:37:55.5078643Z } 2022-11-23T01:37:55.5078705Z } 2022-11-23T01:37:55.5078803Z ''') 2022-11-23T01:37:55.5078865Z 2022-11-23T01:37:55.5078871Z 2022-11-23T01:37:55.5078962Z async_compile.wait(globals()) 2022-11-23T01:37:55.5079035Z del async_compile 2022-11-23T01:37:55.5079040Z 2022-11-23T01:37:55.5079112Z def call(args): 2022-11-23T01:37:55.5079182Z arg0_1, = args 2022-11-23T01:37:55.5079241Z args.clear() 2022-11-23T01:37:55.5079489Z buf0 = empty_strided((2, 4, 74, 76, 78), (1754688, 438672, 5928, 78, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5079730Z buf4 = empty_strided((2, 4, 74, 76, 78), (1754688, 438672, 5928, 78, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5080003Z buf1 = empty_strided((2, 4, 70, 75, 80), (1680000, 420000, 6000, 80, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5080245Z buf2 = empty_strided((2, 4, 45, 74, 103), (1371960, 342990, 7622, 103, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5080485Z buf3 = empty_strided((2, 4, 36, 39, 40), (224640, 56160, 1560, 40, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5080725Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr())) 2022-11-23T01:37:55.5080796Z del arg0_1 2022-11-23T01:37:55.5080881Z return (buf0, buf1, buf2, buf3, buf4, ) 2022-11-23T01:37:55.5080899Z 2022-11-23T01:37:55.5080903Z 2022-11-23T01:37:55.5080967Z if __name__ == "__main__": 2022-11-23T01:37:55.5081085Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.5081210Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.5081452Z arg0_1 = rand_strided((2, 4, 37, 38, 39), (219336, 54834, 1482, 39, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5081564Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.5081568Z 2022-11-23T01:37:55.5081637Z ok (2.111s) 2022-11-23T01:37:55.5081953Z test_var_mean_cpu (__main__.CpuTests) ... [2022-11-23 01:36:07,557] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.5082232Z [2022-11-23 01:36:07,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.5082440Z [2022-11-23 01:36:07,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.5082697Z [2022-11-23 01:36:07,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.5082986Z [2022-11-23 01:36:07,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.5083318Z [2022-11-23 01:36:07,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.5083651Z [2022-11-23 01:36:07,557] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.5083753Z 2193 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.5083852Z 2 LOAD_METHOD 1 (var_mean) 2022-11-23T01:37:55.5083950Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:55.5084093Z 6 LOAD_CONST 1 (-1) 2022-11-23T01:37:55.5084169Z 8 CALL_METHOD 2 2022-11-23T01:37:55.5084175Z 2022-11-23T01:37:55.5084268Z 2194 10 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.5084367Z 12 LOAD_METHOD 1 (var_mean) 2022-11-23T01:37:55.5084457Z 14 LOAD_FAST 0 (x) 2022-11-23T01:37:55.5084547Z 16 LOAD_CONST 2 (1) 2022-11-23T01:37:55.5084637Z 18 LOAD_CONST 3 (3) 2022-11-23T01:37:55.5084721Z 20 BUILD_LIST 2 2022-11-23T01:37:55.5084795Z 22 CALL_METHOD 2 2022-11-23T01:37:55.5084890Z 24 BUILD_TUPLE_UNPACK 2 2022-11-23T01:37:55.5084997Z 26 RETURN_VALUE 2022-11-23T01:37:55.5085057Z 2022-11-23T01:37:55.5085061Z 2022-11-23T01:37:55.5085333Z [2022-11-23 01:36:07,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2193 2022-11-23T01:37:55.5085558Z [2022-11-23 01:36:07,557] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.5085932Z [2022-11-23 01:36:07,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var_mean [TorchVariable()] 2022-11-23T01:37:55.5086260Z [2022-11-23 01:36:07,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:37:55.5086676Z [2022-11-23 01:36:07,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.5087063Z [2022-11-23 01:36:07,558] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.5087335Z [2022-11-23 01:36:07,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2194 2022-11-23T01:37:55.5087590Z [2022-11-23 01:36:07,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TupleVariable()] 2022-11-23T01:37:55.5087992Z [2022-11-23 01:36:07,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR var_mean [TupleVariable(), TorchVariable()] 2022-11-23T01:37:55.5088348Z [2022-11-23 01:36:07,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TupleVariable(), TorchVariable()] 2022-11-23T01:37:55.5088734Z [2022-11-23 01:36:07,560] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TupleVariable(), TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.5089152Z [2022-11-23 01:36:07,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TupleVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.5089610Z [2022-11-23 01:36:07,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 2 [TupleVariable(), TorchVariable(), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.5090026Z [2022-11-23 01:36:07,561] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TupleVariable(), TorchVariable(), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.5090309Z [2022-11-23 01:36:07,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE_UNPACK 2 [TupleVariable(), TupleVariable()] 2022-11-23T01:37:55.5090560Z [2022-11-23 01:36:07,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5090895Z [2022-11-23 01:36:07,562] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.5091144Z [2022-11-23 01:36:07,562] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5091369Z [2022-11-23 01:36:07,562] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.5091632Z [2022-11-23 01:36:07,564] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.5091888Z [2022-11-23 01:36:07,568] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.5092079Z [2022-11-23 01:36:07,569] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.5092250Z __compiled_fn_419 .3328 opcode, name, target, args, kwargs 2022-11-23T01:37:55.5092345Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.5092589Z call_function, var_mean, , (ex_0_, -1), {} 2022-11-23T01:37:55.5092788Z call_function, getitem, , (var_mean, 0), {} 2022-11-23T01:37:55.5092972Z call_function, getitem_1, , (var_mean, 1), {} 2022-11-23T01:37:55.5093225Z call_function, var_mean_1, , (ex_0_, [1, 3]), {} 2022-11-23T01:37:55.5093457Z call_function, getitem_2, , (var_mean_1, 0), {} 2022-11-23T01:37:55.5093656Z call_function, getitem_3, , (var_mean_1, 1), {} 2022-11-23T01:37:55.5093791Z output, output, output, ((getitem, getitem_1, getitem_2, getitem_3),), {} 2022-11-23T01:37:55.5093796Z 2022-11-23T01:37:55.5094081Z [2022-11-23 01:36:07,569] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5094176Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5094269Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5094361Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.5094439Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.5094515Z 8 RETURN_VALUE 2022-11-23T01:37:55.5094520Z 2022-11-23T01:37:55.5094583Z 2022-11-23T01:37:55.5094861Z [2022-11-23 01:36:07,569] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5094974Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_419) 2022-11-23T01:37:55.5095063Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5095151Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5095216Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.5095306Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.5095412Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5095514Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5095603Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5095679Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.5095778Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5095853Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.5095929Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.5096030Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5096118Z 26 LOAD_CONST 3 (2) 2022-11-23T01:37:55.5096192Z 28 BINARY_SUBSCR 2022-11-23T01:37:55.5096291Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5096377Z 32 LOAD_CONST 4 (3) 2022-11-23T01:37:55.5096451Z 34 BINARY_SUBSCR 2022-11-23T01:37:55.5096529Z 36 BUILD_TUPLE 4 2022-11-23T01:37:55.5096602Z 38 RETURN_VALUE 2022-11-23T01:37:55.5096607Z 2022-11-23T01:37:55.5096666Z 2022-11-23T01:37:55.5096854Z [2022-11-23 01:36:07,570] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.5096925Z - 2022-11-23T01:37:55.5097047Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.5097111Z { 2022-11-23T01:37:55.5097242Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.5097430Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.5097556Z 'obj_weakref': None 2022-11-23T01:37:55.5097783Z 'guarded_class': 2022-11-23T01:37:55.5097848Z } 2022-11-23T01:37:55.5097908Z 2022-11-23T01:37:55.5097977Z - 2022-11-23T01:37:55.5098091Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.5098188Z { 2022-11-23T01:37:55.5098337Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5098446Z 'code': None, 2022-11-23T01:37:55.5098662Z 'obj_weakref': 2022-11-23T01:37:55.5099166Z 'guarded_class': 2022-11-23T01:37:55.5099235Z } 2022-11-23T01:37:55.5099285Z 2022-11-23T01:37:55.5099357Z - 2022-11-23T01:37:55.5099491Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.5099556Z { 2022-11-23T01:37:55.5099754Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.5099930Z 'code': ['___check_obj_id(model, 140538421732416)'], 2022-11-23T01:37:55.5100053Z 'obj_weakref': None 2022-11-23T01:37:55.5100276Z 'guarded_class': 2022-11-23T01:37:55.5100343Z } 2022-11-23T01:37:55.5100408Z 2022-11-23T01:37:55.5100479Z - 2022-11-23T01:37:55.5100602Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.5100664Z { 2022-11-23T01:37:55.5100790Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.5101009Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.5101130Z 'obj_weakref': None 2022-11-23T01:37:55.5101354Z 'guarded_class': 2022-11-23T01:37:55.5101425Z } 2022-11-23T01:37:55.5101488Z 2022-11-23T01:37:55.5101559Z - 2022-11-23T01:37:55.5101695Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.5101744Z { 2022-11-23T01:37:55.5101866Z 'guard_types': None, 2022-11-23T01:37:55.5101976Z 'code': None, 2022-11-23T01:37:55.5102096Z 'obj_weakref': None 2022-11-23T01:37:55.5102220Z 'guarded_class': None 2022-11-23T01:37:55.5102287Z } 2022-11-23T01:37:55.5102336Z 2022-11-23T01:37:55.5102602Z [2022-11-23 01:36:07,581] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 411 2022-11-23T01:37:55.5102607Z 2022-11-23T01:37:55.5102701Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.5102769Z import torch 2022-11-23T01:37:55.5102836Z import random 2022-11-23T01:37:55.5102951Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.5103073Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.5103081Z 2022-11-23T01:37:55.5103160Z aten = torch.ops.aten 2022-11-23T01:37:55.5103281Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.5103373Z async_compile = AsyncCompile() 2022-11-23T01:37:55.5103378Z 2022-11-23T01:37:55.5103382Z 2022-11-23T01:37:55.5103518Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.5103727Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.5103845Z extern "C" void kernel(float* __restrict__ in_out_ptr0, 2022-11-23T01:37:55.5103946Z float* __restrict__ in_out_ptr1, 2022-11-23T01:37:55.5104046Z float* __restrict__ in_out_ptr2, 2022-11-23T01:37:55.5104144Z float* __restrict__ in_out_ptr3, 2022-11-23T01:37:55.5104236Z const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.5104333Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.5104429Z float* __restrict__ out_ptr3) 2022-11-23T01:37:55.5104491Z { 2022-11-23T01:37:55.5104574Z auto out_ptr1 = in_out_ptr0; 2022-11-23T01:37:55.5104656Z auto out_ptr2 = in_out_ptr1; 2022-11-23T01:37:55.5104737Z auto out_ptr4 = in_out_ptr2; 2022-11-23T01:37:55.5104805Z auto out_ptr5 = in_out_ptr3; 2022-11-23T01:37:55.5104931Z #pragma GCC ivdep 2022-11-23T01:37:55.5105013Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.5105075Z { 2022-11-23T01:37:55.5105136Z { 2022-11-23T01:37:55.5105351Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:37:55.5105427Z float tmp1 = 0; 2022-11-23T01:37:55.5105538Z auto tmp1_vec = at::vec::Vectorized(tmp1); 2022-11-23T01:37:55.5105621Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:37:55.5105685Z { 2022-11-23T01:37:55.5105824Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i0) + (8*i1)); 2022-11-23T01:37:55.5105946Z tmp1_vec += tmp0; 2022-11-23T01:37:55.5106010Z } 2022-11-23T01:37:55.5106209Z tmp1 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp1_vec); 2022-11-23T01:37:55.5106330Z #pragma omp simd simdlen(4) reduction(+:tmp1) 2022-11-23T01:37:55.5106403Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:37:55.5106464Z { 2022-11-23T01:37:55.5106559Z auto tmp0 = in_ptr0[i1 + (8*i0)]; 2022-11-23T01:37:55.5106633Z tmp1 += tmp0; 2022-11-23T01:37:55.5106694Z } 2022-11-23T01:37:55.5106771Z out_ptr0[i0] = tmp1; 2022-11-23T01:37:55.5106832Z } 2022-11-23T01:37:55.5106881Z } 2022-11-23T01:37:55.5106955Z #pragma GCC ivdep 2022-11-23T01:37:55.5107033Z for(long i0=0; i0<8; i0+=1) 2022-11-23T01:37:55.5107092Z { 2022-11-23T01:37:55.5107154Z { 2022-11-23T01:37:55.5107344Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:37:55.5107419Z float tmp6 = 0; 2022-11-23T01:37:55.5107526Z auto tmp6_vec = at::vec::Vectorized(tmp6); 2022-11-23T01:37:55.5107601Z float tmp7 = 0; 2022-11-23T01:37:55.5107721Z auto tmp7_vec = at::vec::Vectorized(tmp7); 2022-11-23T01:37:55.5107805Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:37:55.5107867Z { 2022-11-23T01:37:55.5108004Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i0) + (8*i1)); 2022-11-23T01:37:55.5108205Z auto tmp1 = at::vec::Vectorized(out_ptr0[i0]); 2022-11-23T01:37:55.5108355Z auto tmp2 = at::vec::Vectorized(static_cast(8)); 2022-11-23T01:37:55.5108433Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:37:55.5108574Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:37:55.5108666Z auto tmp5 = tmp4.pow(2); 2022-11-23T01:37:55.5108749Z tmp6_vec += tmp5; 2022-11-23T01:37:55.5108828Z tmp7_vec += tmp0; 2022-11-23T01:37:55.5108891Z } 2022-11-23T01:37:55.5109087Z tmp6 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp6_vec); 2022-11-23T01:37:55.5109285Z tmp7 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp7_vec); 2022-11-23T01:37:55.5109412Z #pragma omp simd simdlen(4) reduction(+:tmp6) reduction(+:tmp7) 2022-11-23T01:37:55.5109494Z for(long i1=8; i1<8; i1+=1) 2022-11-23T01:37:55.5109557Z { 2022-11-23T01:37:55.5109654Z auto tmp0 = in_ptr0[i1 + (8*i0)]; 2022-11-23T01:37:55.5109742Z auto tmp1 = out_ptr0[i0]; 2022-11-23T01:37:55.5109841Z auto tmp2 = static_cast(8); 2022-11-23T01:37:55.5109930Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:37:55.5110049Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:37:55.5110134Z auto tmp5 = tmp4 * tmp4; 2022-11-23T01:37:55.5110207Z tmp6 += tmp5; 2022-11-23T01:37:55.5110280Z tmp7 += tmp0; 2022-11-23T01:37:55.5110342Z } 2022-11-23T01:37:55.5110466Z out_ptr1[i0] = tmp6; 2022-11-23T01:37:55.5110548Z out_ptr2[i0] = tmp7; 2022-11-23T01:37:55.5110599Z } 2022-11-23T01:37:55.5110659Z } 2022-11-23T01:37:55.5110734Z #pragma GCC ivdep 2022-11-23T01:37:55.5110812Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:55.5110871Z { 2022-11-23T01:37:55.5110930Z { 2022-11-23T01:37:55.5111116Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:37:55.5111180Z float tmp1 = 0; 2022-11-23T01:37:55.5111300Z auto tmp1_vec = at::vec::Vectorized(tmp1); 2022-11-23T01:37:55.5111424Z for(long i1=0; i1<2; i1+=1) 2022-11-23T01:37:55.5111486Z { 2022-11-23T01:37:55.5111573Z for(long i2=0; i2<1; i2+=1) 2022-11-23T01:37:55.5111637Z { 2022-11-23T01:37:55.5111787Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i0) + (8*i2) + (32*i1)); 2022-11-23T01:37:55.5111858Z tmp1_vec += tmp0; 2022-11-23T01:37:55.5111921Z } 2022-11-23T01:37:55.5112113Z tmp1 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp1_vec); 2022-11-23T01:37:55.5112233Z #pragma omp simd simdlen(4) reduction(+:tmp1) 2022-11-23T01:37:55.5112322Z for(long i2=8; i2<8; i2+=1) 2022-11-23T01:37:55.5112386Z { 2022-11-23T01:37:55.5112488Z auto tmp0 = in_ptr0[i2 + (8*i0) + (32*i1)]; 2022-11-23T01:37:55.5112566Z tmp1 += tmp0; 2022-11-23T01:37:55.5112620Z } 2022-11-23T01:37:55.5112683Z } 2022-11-23T01:37:55.5112762Z out_ptr3[i0] = tmp1; 2022-11-23T01:37:55.5112824Z } 2022-11-23T01:37:55.5112884Z } 2022-11-23T01:37:55.5112959Z #pragma GCC ivdep 2022-11-23T01:37:55.5113025Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:55.5113087Z { 2022-11-23T01:37:55.5113152Z { 2022-11-23T01:37:55.5113337Z #pragma omp declare reduction(+:at::vec::Vectorized:omp_out += omp_in) initializer(omp_priv={{0}}) 2022-11-23T01:37:55.5113413Z float tmp6 = 0; 2022-11-23T01:37:55.5113533Z auto tmp6_vec = at::vec::Vectorized(tmp6); 2022-11-23T01:37:55.5113608Z float tmp7 = 0; 2022-11-23T01:37:55.5113724Z auto tmp7_vec = at::vec::Vectorized(tmp7); 2022-11-23T01:37:55.5113794Z for(long i1=0; i1<2; i1+=1) 2022-11-23T01:37:55.5113857Z { 2022-11-23T01:37:55.5113944Z for(long i2=0; i2<1; i2+=1) 2022-11-23T01:37:55.5114011Z { 2022-11-23T01:37:55.5114163Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i0) + (8*i2) + (32*i1)); 2022-11-23T01:37:55.5114291Z auto tmp1 = at::vec::Vectorized(out_ptr3[i0]); 2022-11-23T01:37:55.5114432Z auto tmp2 = at::vec::Vectorized(static_cast(16)); 2022-11-23T01:37:55.5114525Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:37:55.5114656Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:37:55.5114747Z auto tmp5 = tmp4.pow(2); 2022-11-23T01:37:55.5114833Z tmp6_vec += tmp5; 2022-11-23T01:37:55.5114914Z tmp7_vec += tmp0; 2022-11-23T01:37:55.5114981Z } 2022-11-23T01:37:55.5115182Z tmp6 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp6_vec); 2022-11-23T01:37:55.5115380Z tmp7 = at::vec::vec_reduce_all([](at::vec::Vectorized& x, at::vec::Vectorized&y) {return x + y;}, tmp7_vec); 2022-11-23T01:37:55.5115521Z #pragma omp simd simdlen(4) reduction(+:tmp6) reduction(+:tmp7) 2022-11-23T01:37:55.5115597Z for(long i2=8; i2<8; i2+=1) 2022-11-23T01:37:55.5115665Z { 2022-11-23T01:37:55.5115804Z auto tmp0 = in_ptr0[i2 + (8*i0) + (32*i1)]; 2022-11-23T01:37:55.5115902Z auto tmp1 = out_ptr3[i0]; 2022-11-23T01:37:55.5116009Z auto tmp2 = static_cast(16); 2022-11-23T01:37:55.5116102Z auto tmp3 = tmp1 / tmp2; 2022-11-23T01:37:55.5116244Z auto tmp4 = tmp0 - tmp3; 2022-11-23T01:37:55.5116321Z auto tmp5 = tmp4 * tmp4; 2022-11-23T01:37:55.5116400Z tmp6 += tmp5; 2022-11-23T01:37:55.5116478Z tmp7 += tmp0; 2022-11-23T01:37:55.5116544Z } 2022-11-23T01:37:55.5116639Z } 2022-11-23T01:37:55.5116720Z out_ptr4[i0] = tmp6; 2022-11-23T01:37:55.5116801Z out_ptr5[i0] = tmp7; 2022-11-23T01:37:55.5116851Z } 2022-11-23T01:37:55.5116915Z } 2022-11-23T01:37:55.5116996Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:37:55.5117060Z { 2022-11-23T01:37:55.5117199Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr1 + 8*i0); 2022-11-23T01:37:55.5117334Z auto tmp1 = at::vec::Vectorized(static_cast(7)); 2022-11-23T01:37:55.5117421Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:55.5117500Z tmp2.store(in_out_ptr0 + 8*i0); 2022-11-23T01:37:55.5117564Z } 2022-11-23T01:37:55.5117653Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.5117734Z for(long i0=8; i0<8; i0+=1) 2022-11-23T01:37:55.5117796Z { 2022-11-23T01:37:55.5117879Z auto tmp0 = out_ptr1[i0]; 2022-11-23T01:37:55.5117978Z auto tmp1 = static_cast(7); 2022-11-23T01:37:55.5118051Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:55.5118132Z in_out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.5118195Z } 2022-11-23T01:37:55.5118274Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:37:55.5118338Z { 2022-11-23T01:37:55.5118470Z auto tmp0 = at::vec::Vectorized::loadu(out_ptr2 + 8*i0); 2022-11-23T01:37:55.5118606Z auto tmp1 = at::vec::Vectorized(static_cast(8)); 2022-11-23T01:37:55.5118677Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:55.5118769Z tmp2.store(in_out_ptr1 + 8*i0); 2022-11-23T01:37:55.5118831Z } 2022-11-23T01:37:55.5118918Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.5118995Z for(long i0=8; i0<8; i0+=1) 2022-11-23T01:37:55.5119058Z { 2022-11-23T01:37:55.5119141Z auto tmp0 = out_ptr2[i0]; 2022-11-23T01:37:55.5119223Z auto tmp1 = static_cast(8); 2022-11-23T01:37:55.5119307Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:55.5119388Z in_out_ptr1[i0] = tmp2; 2022-11-23T01:37:55.5119453Z } 2022-11-23T01:37:55.5119530Z #pragma GCC ivdep 2022-11-23T01:37:55.5119607Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:55.5119655Z { 2022-11-23T01:37:55.5119717Z { 2022-11-23T01:37:55.5119780Z { 2022-11-23T01:37:55.5119868Z auto tmp0 = out_ptr4[i0]; 2022-11-23T01:37:55.5119972Z auto tmp1 = static_cast(15); 2022-11-23T01:37:55.5120059Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:55.5120142Z in_out_ptr2[i0] = tmp2; 2022-11-23T01:37:55.5120192Z } 2022-11-23T01:37:55.5120253Z } 2022-11-23T01:37:55.5120313Z } 2022-11-23T01:37:55.5120388Z #pragma GCC ivdep 2022-11-23T01:37:55.5120465Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:55.5120524Z { 2022-11-23T01:37:55.5120586Z { 2022-11-23T01:37:55.5120635Z { 2022-11-23T01:37:55.5120721Z auto tmp0 = out_ptr5[i0]; 2022-11-23T01:37:55.5120822Z auto tmp1 = static_cast(16); 2022-11-23T01:37:55.5120910Z auto tmp2 = tmp0 / tmp1; 2022-11-23T01:37:55.5120993Z in_out_ptr3[i0] = tmp2; 2022-11-23T01:37:55.5121057Z } 2022-11-23T01:37:55.5121105Z } 2022-11-23T01:37:55.5121166Z } 2022-11-23T01:37:55.5121225Z } 2022-11-23T01:37:55.5121305Z ''') 2022-11-23T01:37:55.5121312Z 2022-11-23T01:37:55.5121350Z 2022-11-23T01:37:55.5121440Z async_compile.wait(globals()) 2022-11-23T01:37:55.5121511Z del async_compile 2022-11-23T01:37:55.5121516Z 2022-11-23T01:37:55.5121587Z def call(args): 2022-11-23T01:37:55.5121655Z arg0_1, = args 2022-11-23T01:37:55.5121714Z args.clear() 2022-11-23T01:37:55.5121928Z buf0 = empty_strided((1, 2, 4, 1), (8, 4, 1, 8), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5122136Z buf1 = empty_strided((1, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5122338Z buf2 = empty_strided((1, 2, 4), (8, 4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5122582Z buf3 = empty_strided((1, 1, 4, 1), (4, 4, 1, 4), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5122777Z buf4 = empty_strided((1, 4), (4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5122968Z buf5 = empty_strided((1, 4), (4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5123042Z buf6 = buf1; del buf1 # reuse 2022-11-23T01:37:55.5123125Z buf7 = buf2; del buf2 # reuse 2022-11-23T01:37:55.5123205Z buf8 = buf4; del buf4 # reuse 2022-11-23T01:37:55.5123283Z buf9 = buf5; del buf5 # reuse 2022-11-23T01:37:55.5123544Z kernel_cpp_0(c_void_p(buf6.data_ptr()), c_void_p(buf7.data_ptr()), c_void_p(buf8.data_ptr()), c_void_p(buf9.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf3.data_ptr())) 2022-11-23T01:37:55.5123610Z del arg0_1 2022-11-23T01:37:55.5123695Z return (buf6, buf7, buf8, buf9, ) 2022-11-23T01:37:55.5123700Z 2022-11-23T01:37:55.5123705Z 2022-11-23T01:37:55.5123779Z if __name__ == "__main__": 2022-11-23T01:37:55.5123885Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.5124008Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.5124219Z arg0_1 = rand_strided((1, 2, 4, 8), (64, 32, 8, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5124329Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.5124705Z [2022-11-23 01:36:09,205] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/eq/ceq737pplcmtg3zwjh3yluquepr6ssj2g2wavpnpgql2hk3kfosu.py 2022-11-23T01:37:55.5124977Z [2022-11-23 01:36:09,206] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 411 2022-11-23T01:37:55.5124983Z 2022-11-23T01:37:55.5125050Z ok (1.665s) 2022-11-23T01:37:55.5125356Z test_vdd_clamp_cpu (__main__.CpuTests) ... [2022-11-23 01:36:09,222] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.5125627Z [2022-11-23 01:36:09,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.5125840Z [2022-11-23 01:36:09,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.5126098Z [2022-11-23 01:36:09,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.5126391Z [2022-11-23 01:36:09,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.5126719Z [2022-11-23 01:36:09,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.5127048Z [2022-11-23 01:36:09,223] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.5127147Z 4372 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.5127247Z 2 LOAD_METHOD 1 (clamp_min) 2022-11-23T01:37:55.5127340Z 4 LOAD_FAST 0 (x) 2022-11-23T01:37:55.5127429Z 6 LOAD_CONST 1 (3) 2022-11-23T01:37:55.5127504Z 8 CALL_METHOD 2 2022-11-23T01:37:55.5127580Z 10 RETURN_VALUE 2022-11-23T01:37:55.5127639Z 2022-11-23T01:37:55.5127645Z 2022-11-23T01:37:55.5127953Z [2022-11-23 01:36:09,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:4372 2022-11-23T01:37:55.5128178Z [2022-11-23 01:36:09,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.5128557Z [2022-11-23 01:36:09,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR clamp_min [TorchVariable()] 2022-11-23T01:37:55.5128884Z [2022-11-23 01:36:09,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable()] 2022-11-23T01:37:55.5129325Z [2022-11-23 01:36:09,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TorchVariable(), TensorVariable()] 2022-11-23T01:37:55.5129729Z [2022-11-23 01:36:09,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.5129968Z [2022-11-23 01:36:09,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.5130301Z [2022-11-23 01:36:09,226] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.5130549Z [2022-11-23 01:36:09,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.5130787Z [2022-11-23 01:36:09,226] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.5131047Z [2022-11-23 01:36:09,227] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.5131302Z [2022-11-23 01:36:09,230] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.5131495Z [2022-11-23 01:36:09,231] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.5131630Z __compiled_fn_420 .3334 opcode, name, target, args, kwargs 2022-11-23T01:37:55.5131719Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.5131950Z call_function, clamp_min, , (ex_0_, 3), {} 2022-11-23T01:37:55.5132057Z output, output, output, ((clamp_min,),), {} 2022-11-23T01:37:55.5132062Z 2022-11-23T01:37:55.5132343Z [2022-11-23 01:36:09,231] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5132437Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5132530Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5132622Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.5132712Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.5132787Z 8 RETURN_VALUE 2022-11-23T01:37:55.5132793Z 2022-11-23T01:37:55.5132840Z 2022-11-23T01:37:55.5133118Z [2022-11-23 01:36:09,231] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5133228Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_420) 2022-11-23T01:37:55.5133317Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5133408Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5133486Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.5133573Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.5133663Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.5133724Z 12 RETURN_VALUE 2022-11-23T01:37:55.5133732Z 2022-11-23T01:37:55.5133792Z 2022-11-23T01:37:55.5133976Z [2022-11-23 01:36:09,232] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.5134046Z - 2022-11-23T01:37:55.5134165Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.5134228Z { 2022-11-23T01:37:55.5134404Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.5134584Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.5134706Z 'obj_weakref': None 2022-11-23T01:37:55.5134934Z 'guarded_class': 2022-11-23T01:37:55.5134996Z } 2022-11-23T01:37:55.5135059Z 2022-11-23T01:37:55.5135130Z - 2022-11-23T01:37:55.5135255Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.5135306Z { 2022-11-23T01:37:55.5135450Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5135597Z 'code': None, 2022-11-23T01:37:55.5135814Z 'obj_weakref': 2022-11-23T01:37:55.5136072Z 'guarded_class': 2022-11-23T01:37:55.5136135Z } 2022-11-23T01:37:55.5136199Z 2022-11-23T01:37:55.5136258Z - 2022-11-23T01:37:55.5136390Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.5136453Z { 2022-11-23T01:37:55.5136589Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.5136759Z 'code': ['___check_obj_id(model, 140538743583088)'], 2022-11-23T01:37:55.5136881Z 'obj_weakref': None 2022-11-23T01:37:55.5137114Z 'guarded_class': 2022-11-23T01:37:55.5137165Z } 2022-11-23T01:37:55.5137227Z 2022-11-23T01:37:55.5137296Z - 2022-11-23T01:37:55.5137422Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.5137486Z { 2022-11-23T01:37:55.5137623Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.5137841Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.5137949Z 'obj_weakref': None 2022-11-23T01:37:55.5138171Z 'guarded_class': 2022-11-23T01:37:55.5138234Z } 2022-11-23T01:37:55.5138295Z 2022-11-23T01:37:55.5138365Z - 2022-11-23T01:37:55.5138499Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.5138562Z { 2022-11-23T01:37:55.5138671Z 'guard_types': None, 2022-11-23T01:37:55.5138928Z 'code': None, 2022-11-23T01:37:55.5139114Z 'obj_weakref': None 2022-11-23T01:37:55.5139245Z 'guarded_class': None 2022-11-23T01:37:55.5139309Z } 2022-11-23T01:37:55.5139375Z 2022-11-23T01:37:55.5139639Z [2022-11-23 01:36:09,254] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 412 2022-11-23T01:37:55.5139999Z [2022-11-23 01:36:10,762] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ca/ccakv3sqjdu4erv7ykhlbyvbtxboxbrcuu36ddqrkg27e426qsuc.py 2022-11-23T01:37:55.5140269Z [2022-11-23 01:36:10,763] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 412 2022-11-23T01:37:55.5140275Z 2022-11-23T01:37:55.5140369Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.5140441Z import torch 2022-11-23T01:37:55.5140512Z import random 2022-11-23T01:37:55.5140629Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.5140751Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.5140756Z 2022-11-23T01:37:55.5140834Z aten = torch.ops.aten 2022-11-23T01:37:55.5140956Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.5141050Z async_compile = AsyncCompile() 2022-11-23T01:37:55.5141055Z 2022-11-23T01:37:55.5141059Z 2022-11-23T01:37:55.5141194Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.5141399Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.5141589Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.5141693Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.5141789Z bool* __restrict__ out_ptr1) 2022-11-23T01:37:55.5141850Z { 2022-11-23T01:37:55.5141913Z #pragma GCC ivdep 2022-11-23T01:37:55.5141994Z for(long i0=0; i0<16; i0+=1) 2022-11-23T01:37:55.5142054Z { 2022-11-23T01:37:55.5142116Z { 2022-11-23T01:37:55.5142181Z { 2022-11-23T01:37:55.5142272Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.5142362Z auto tmp1 = static_cast(3.0); 2022-11-23T01:37:55.5142473Z auto tmp2 = std::max(tmp0, tmp1); 2022-11-23T01:37:55.5142614Z auto tmp3 = static_cast(3); 2022-11-23T01:37:55.5142703Z auto tmp4 = tmp0 >= tmp3; 2022-11-23T01:37:55.5142783Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.5142861Z out_ptr1[i0] = tmp4; 2022-11-23T01:37:55.5142922Z } 2022-11-23T01:37:55.5142974Z } 2022-11-23T01:37:55.5143034Z } 2022-11-23T01:37:55.5143093Z } 2022-11-23T01:37:55.5143174Z ''') 2022-11-23T01:37:55.5143180Z 2022-11-23T01:37:55.5143184Z 2022-11-23T01:37:55.5143273Z async_compile.wait(globals()) 2022-11-23T01:37:55.5143345Z del async_compile 2022-11-23T01:37:55.5143349Z 2022-11-23T01:37:55.5143418Z def call(args): 2022-11-23T01:37:55.5143490Z primals_1, = args 2022-11-23T01:37:55.5143548Z args.clear() 2022-11-23T01:37:55.5143743Z buf0 = empty_strided((16, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5143934Z buf1 = empty_strided((16, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:37:55.5144109Z kernel_cpp_0(c_void_p(primals_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf1.data_ptr())) 2022-11-23T01:37:55.5144181Z del primals_1 2022-11-23T01:37:55.5144258Z return (buf0, buf1, ) 2022-11-23T01:37:55.5144263Z 2022-11-23T01:37:55.5144268Z 2022-11-23T01:37:55.5144343Z if __name__ == "__main__": 2022-11-23T01:37:55.5144446Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.5144566Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.5144769Z primals_1 = rand_strided((16, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5144880Z print_performance(lambda: call([primals_1])) 2022-11-23T01:37:55.5144885Z 2022-11-23T01:37:55.5144951Z ok (1.548s) 2022-11-23T01:37:55.5145274Z test_vertical_fusion1_cpu (__main__.CpuTests) ... [2022-11-23 01:36:10,805] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.5145546Z [2022-11-23 01:36:10,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.5145770Z [2022-11-23 01:36:10,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.5146026Z [2022-11-23 01:36:10,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.5146301Z [2022-11-23 01:36:10,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.5146624Z [2022-11-23 01:36:10,805] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.5146993Z [2022-11-23 01:36:10,806] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.5147221Z 704 0 LOAD_CONST 1 (-3.087032500374211e-07) 2022-11-23T01:37:55.5147319Z 2 STORE_FAST 3 (v17) 2022-11-23T01:37:55.5147325Z 2022-11-23T01:37:55.5147493Z 705 4 LOAD_CONST 2 (-1.988366587925593e-08) 2022-11-23T01:37:55.5147583Z 6 STORE_FAST 4 (v18) 2022-11-23T01:37:55.5147588Z 2022-11-23T01:37:55.5147754Z 706 8 LOAD_CONST 3 (-1.061519070296458e-11) 2022-11-23T01:37:55.5147881Z 10 STORE_FAST 5 (v19) 2022-11-23T01:37:55.5147887Z 2022-11-23T01:37:55.5148040Z 707 12 LOAD_CONST 4 (1.55093272922008e-10) 2022-11-23T01:37:55.5148207Z 14 STORE_FAST 6 (v20) 2022-11-23T01:37:55.5148213Z 2022-11-23T01:37:55.5148308Z 708 16 LOAD_FAST 5 (v19) 2022-11-23T01:37:55.5148399Z 18 LOAD_FAST 1 (ct) 2022-11-23T01:37:55.5148480Z 20 BINARY_MULTIPLY 2022-11-23T01:37:55.5148568Z 22 STORE_FAST 7 (t15) 2022-11-23T01:37:55.5148572Z 2022-11-23T01:37:55.5148695Z 709 24 LOAD_FAST 3 (v17) 2022-11-23T01:37:55.5148783Z 26 LOAD_FAST 1 (ct) 2022-11-23T01:37:55.5148858Z 28 LOAD_FAST 4 (v18) 2022-11-23T01:37:55.5148942Z 30 LOAD_FAST 7 (t15) 2022-11-23T01:37:55.5149014Z 32 BINARY_ADD 2022-11-23T01:37:55.5149098Z 34 BINARY_MULTIPLY 2022-11-23T01:37:55.5149170Z 36 BINARY_ADD 2022-11-23T01:37:55.5149255Z 38 LOAD_FAST 6 (v20) 2022-11-23T01:37:55.5149342Z 40 LOAD_FAST 0 (sa) 2022-11-23T01:37:55.5149407Z 42 BINARY_MULTIPLY 2022-11-23T01:37:55.5149478Z 44 BINARY_ADD 2022-11-23T01:37:55.5149565Z 46 STORE_FAST 8 (t19) 2022-11-23T01:37:55.5149569Z 2022-11-23T01:37:55.5149655Z 710 48 LOAD_CONST 5 (1.0) 2022-11-23T01:37:55.5149739Z 50 LOAD_FAST 8 (t19) 2022-11-23T01:37:55.5149822Z 52 BINARY_TRUE_DIVIDE 2022-11-23T01:37:55.5149909Z 54 STORE_FAST 9 (t20) 2022-11-23T01:37:55.5149914Z 2022-11-23T01:37:55.5149999Z 711 56 LOAD_FAST 8 (t19) 2022-11-23T01:37:55.5150076Z 58 LOAD_FAST 2 (p) 2022-11-23T01:37:55.5150152Z 60 BINARY_MULTIPLY 2022-11-23T01:37:55.5150243Z 62 STORE_FAST 10 (t128) 2022-11-23T01:37:55.5150248Z 2022-11-23T01:37:55.5150334Z 712 64 LOAD_FAST 9 (t20) 2022-11-23T01:37:55.5150423Z 66 LOAD_FAST 10 (t128) 2022-11-23T01:37:55.5150495Z 68 BINARY_ADD 2022-11-23T01:37:55.5150569Z 70 RETURN_VALUE 2022-11-23T01:37:55.5150616Z 2022-11-23T01:37:55.5150621Z 2022-11-23T01:37:55.5150897Z [2022-11-23 01:36:10,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:704 2022-11-23T01:37:55.5151142Z [2022-11-23 01:36:10,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -3.087032500374211e-07 [] 2022-11-23T01:37:55.5151403Z [2022-11-23 01:36:10,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST v17 [ConstantVariable(float)] 2022-11-23T01:37:55.5151672Z [2022-11-23 01:36:10,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:705 2022-11-23T01:37:55.5151918Z [2022-11-23 01:36:10,806] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1.988366587925593e-08 [] 2022-11-23T01:37:55.5152175Z [2022-11-23 01:36:10,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST v18 [ConstantVariable(float)] 2022-11-23T01:37:55.5152441Z [2022-11-23 01:36:10,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:706 2022-11-23T01:37:55.5152684Z [2022-11-23 01:36:10,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST -1.061519070296458e-11 [] 2022-11-23T01:37:55.5152924Z [2022-11-23 01:36:10,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST v19 [ConstantVariable(float)] 2022-11-23T01:37:55.5153194Z [2022-11-23 01:36:10,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:707 2022-11-23T01:37:55.5153432Z [2022-11-23 01:36:10,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.55093272922008e-10 [] 2022-11-23T01:37:55.5153717Z [2022-11-23 01:36:10,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST v20 [ConstantVariable(float)] 2022-11-23T01:37:55.5153985Z [2022-11-23 01:36:10,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:708 2022-11-23T01:37:55.5154201Z [2022-11-23 01:36:10,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST v19 [] 2022-11-23T01:37:55.5154454Z [2022-11-23 01:36:10,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ct [ConstantVariable(float)] 2022-11-23T01:37:55.5154754Z [2022-11-23 01:36:10,807] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [ConstantVariable(float), TensorVariable()] 2022-11-23T01:37:55.5155034Z [2022-11-23 01:36:10,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t15 [TensorVariable()] 2022-11-23T01:37:55.5155305Z [2022-11-23 01:36:10,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:709 2022-11-23T01:37:55.5155510Z [2022-11-23 01:36:10,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST v17 [] 2022-11-23T01:37:55.5155768Z [2022-11-23 01:36:10,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ct [ConstantVariable(float)] 2022-11-23T01:37:55.5156050Z [2022-11-23 01:36:10,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST v18 [ConstantVariable(float), TensorVariable()] 2022-11-23T01:37:55.5156372Z [2022-11-23 01:36:10,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t15 [ConstantVariable(float), TensorVariable(), ConstantVariable(float)] 2022-11-23T01:37:55.5156732Z [2022-11-23 01:36:10,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ConstantVariable(float), TensorVariable(), ConstantVariable(float), TensorVariable()] 2022-11-23T01:37:55.5157066Z [2022-11-23 01:36:10,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [ConstantVariable(float), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.5157356Z [2022-11-23 01:36:10,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [ConstantVariable(float), TensorVariable()] 2022-11-23T01:37:55.5157602Z [2022-11-23 01:36:10,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST v20 [TensorVariable()] 2022-11-23T01:37:55.5157886Z [2022-11-23 01:36:10,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST sa [TensorVariable(), ConstantVariable(float)] 2022-11-23T01:37:55.5158213Z [2022-11-23 01:36:10,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(float), TensorVariable()] 2022-11-23T01:37:55.5158474Z [2022-11-23 01:36:10,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.5158724Z [2022-11-23 01:36:10,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t19 [TensorVariable()] 2022-11-23T01:37:55.5158993Z [2022-11-23 01:36:10,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:710 2022-11-23T01:37:55.5159214Z [2022-11-23 01:36:10,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1.0 [] 2022-11-23T01:37:55.5159470Z [2022-11-23 01:36:10,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t19 [ConstantVariable(float)] 2022-11-23T01:37:55.5159769Z [2022-11-23 01:36:10,813] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_TRUE_DIVIDE None [ConstantVariable(float), TensorVariable()] 2022-11-23T01:37:55.5160011Z [2022-11-23 01:36:10,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t20 [TensorVariable()] 2022-11-23T01:37:55.5160279Z [2022-11-23 01:36:10,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:711 2022-11-23T01:37:55.5160501Z [2022-11-23 01:36:10,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t19 [] 2022-11-23T01:37:55.5160730Z [2022-11-23 01:36:10,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST p [TensorVariable()] 2022-11-23T01:37:55.5161051Z [2022-11-23 01:36:10,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.5161301Z [2022-11-23 01:36:10,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST t128 [TensorVariable()] 2022-11-23T01:37:55.5161568Z [2022-11-23 01:36:10,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:712 2022-11-23T01:37:55.5161782Z [2022-11-23 01:36:10,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t20 [] 2022-11-23T01:37:55.5162026Z [2022-11-23 01:36:10,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST t128 [TensorVariable()] 2022-11-23T01:37:55.5162302Z [2022-11-23 01:36:10,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.5162586Z [2022-11-23 01:36:10,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.5162921Z [2022-11-23 01:36:10,817] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.5163171Z [2022-11-23 01:36:10,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.5163394Z [2022-11-23 01:36:10,817] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.5163649Z [2022-11-23 01:36:10,818] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.5163904Z [2022-11-23 01:36:10,826] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.5164097Z [2022-11-23 01:36:10,827] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.5164236Z __compiled_fn_421 .3345 opcode, name, target, args, kwargs 2022-11-23T01:37:55.5164328Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.5164415Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.5164500Z placeholder, ex_2_, ex_2_, (), {} 2022-11-23T01:37:55.5164697Z call_function, mul, , (-1.061519070296458e-11, ex_1_), {} 2022-11-23T01:37:55.5164902Z call_function, add, , (-1.988366587925593e-08, mul), {} 2022-11-23T01:37:55.5165085Z call_function, mul_1, , (ex_1_, add), {} 2022-11-23T01:37:55.5165295Z call_function, add_1, , (-3.087032500374211e-07, mul_1), {} 2022-11-23T01:37:55.5165498Z call_function, mul_2, , (1.55093272922008e-10, ex_0_), {} 2022-11-23T01:37:55.5165682Z call_function, add_2, , (add_1, mul_2), {} 2022-11-23T01:37:55.5165876Z call_function, truediv, , (1.0, add_2), {} 2022-11-23T01:37:55.5166061Z call_function, mul_3, , (add_2, ex_2_), {} 2022-11-23T01:37:55.5166235Z call_function, add_3, , (truediv, mul_3), {} 2022-11-23T01:37:55.5166331Z output, output, output, ((add_3,),), {} 2022-11-23T01:37:55.5166337Z 2022-11-23T01:37:55.5166618Z [2022-11-23 01:36:10,827] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5166715Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5166806Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5166897Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.5166985Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.5167048Z 8 RETURN_VALUE 2022-11-23T01:37:55.5167066Z 2022-11-23T01:37:55.5167114Z 2022-11-23T01:37:55.5167388Z [2022-11-23 01:36:10,827] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5167500Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_421) 2022-11-23T01:37:55.5167590Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5167679Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5167755Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.5167875Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5167952Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.5168027Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.5168113Z 14 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5168197Z 16 LOAD_CONST 3 (2) 2022-11-23T01:37:55.5168274Z 18 BINARY_SUBSCR 2022-11-23T01:37:55.5168362Z 20 CALL_FUNCTION 3 2022-11-23T01:37:55.5168450Z 22 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.5168512Z 24 RETURN_VALUE 2022-11-23T01:37:55.5168517Z 2022-11-23T01:37:55.5168605Z 2022-11-23T01:37:55.5168793Z [2022-11-23 01:36:10,828] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.5168864Z - 2022-11-23T01:37:55.5168984Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.5169047Z { 2022-11-23T01:37:55.5169192Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.5169373Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 3'], 2022-11-23T01:37:55.5169495Z 'obj_weakref': None 2022-11-23T01:37:55.5169727Z 'guarded_class': 2022-11-23T01:37:55.5169792Z } 2022-11-23T01:37:55.5169853Z 2022-11-23T01:37:55.5169923Z - 2022-11-23T01:37:55.5170051Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.5170101Z { 2022-11-23T01:37:55.5170247Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5170357Z 'code': None, 2022-11-23T01:37:55.5170579Z 'obj_weakref': 2022-11-23T01:37:55.5170838Z 'guarded_class': 2022-11-23T01:37:55.5170903Z } 2022-11-23T01:37:55.5170966Z 2022-11-23T01:37:55.5171024Z - 2022-11-23T01:37:55.5171153Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.5171216Z { 2022-11-23T01:37:55.5171362Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5171471Z 'code': None, 2022-11-23T01:37:55.5171686Z 'obj_weakref': 2022-11-23T01:37:55.5171943Z 'guarded_class': 2022-11-23T01:37:55.5171994Z } 2022-11-23T01:37:55.5172057Z 2022-11-23T01:37:55.5172126Z - 2022-11-23T01:37:55.5172251Z local 'ex[2]' TENSOR_MATCH 2022-11-23T01:37:55.5172316Z { 2022-11-23T01:37:55.5172460Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5172568Z 'code': None, 2022-11-23T01:37:55.5172767Z 'obj_weakref': 2022-11-23T01:37:55.5173023Z 'guarded_class': 2022-11-23T01:37:55.5173086Z } 2022-11-23T01:37:55.5173148Z 2022-11-23T01:37:55.5173218Z - 2022-11-23T01:37:55.5173349Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.5173412Z { 2022-11-23T01:37:55.5173535Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.5173707Z 'code': ['___check_obj_id(model, 140539049043152)'], 2022-11-23T01:37:55.5173829Z 'obj_weakref': None 2022-11-23T01:37:55.5174061Z 'guarded_class': 2022-11-23T01:37:55.5174127Z } 2022-11-23T01:37:55.5174194Z 2022-11-23T01:37:55.5174265Z - 2022-11-23T01:37:55.5174375Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.5174438Z { 2022-11-23T01:37:55.5174577Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.5174832Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.5174954Z 'obj_weakref': None 2022-11-23T01:37:55.5175177Z 'guarded_class': 2022-11-23T01:37:55.5175239Z } 2022-11-23T01:37:55.5175290Z 2022-11-23T01:37:55.5175551Z [2022-11-23 01:36:10,842] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 413 2022-11-23T01:37:55.5175925Z [2022-11-23 01:36:12,250] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vh/cvhzvrdez2v4ik7yxzptvee5etdjcgklpr2wukt7r4hrnvsucdng.py 2022-11-23T01:37:55.5176245Z [2022-11-23 01:36:12,251] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 413 2022-11-23T01:37:55.5176251Z 2022-11-23T01:37:55.5176343Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.5176412Z import torch 2022-11-23T01:37:55.5176479Z import random 2022-11-23T01:37:55.5176596Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.5176703Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.5176721Z 2022-11-23T01:37:55.5176785Z aten = torch.ops.aten 2022-11-23T01:37:55.5176918Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.5177009Z async_compile = AsyncCompile() 2022-11-23T01:37:55.5177013Z 2022-11-23T01:37:55.5177017Z 2022-11-23T01:37:55.5177153Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.5177356Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.5177478Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.5177583Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.5177684Z const float* __restrict__ in_ptr2, 2022-11-23T01:37:55.5177770Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.5177830Z { 2022-11-23T01:37:55.5177910Z #pragma GCC ivdep 2022-11-23T01:37:55.5177991Z for(long i0=0; i0<41616; i0+=1) 2022-11-23T01:37:55.5178052Z { 2022-11-23T01:37:55.5178131Z for(long i1=0; i1<3; i1+=1) 2022-11-23T01:37:55.5178181Z { 2022-11-23T01:37:55.5178331Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (26*i0)); 2022-11-23T01:37:55.5178470Z auto tmp8 = at::vec::Vectorized::loadu(in_ptr1 + (8*i1) + (26*i0)); 2022-11-23T01:37:55.5178603Z auto tmp15 = at::vec::Vectorized::loadu(in_ptr2 + 8*i1); 2022-11-23T01:37:55.5179024Z auto tmp1 = at::vec::Vectorized(static_cast(-1.061519070296458e-11)); 2022-11-23T01:37:55.5179136Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.5179373Z auto tmp3 = at::vec::Vectorized(static_cast(-1.988366587925593e-08)); 2022-11-23T01:37:55.5179460Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.5179544Z auto tmp5 = tmp0 * tmp4; 2022-11-23T01:37:55.5179756Z auto tmp6 = at::vec::Vectorized(static_cast(-3.087032500374211e-07)); 2022-11-23T01:37:55.5179843Z auto tmp7 = tmp5 + tmp6; 2022-11-23T01:37:55.5180068Z auto tmp9 = at::vec::Vectorized(static_cast(1.55093272922008e-10)); 2022-11-23T01:37:55.5180154Z auto tmp10 = tmp8 * tmp9; 2022-11-23T01:37:55.5180239Z auto tmp11 = tmp7 + tmp10; 2022-11-23T01:37:55.5180339Z auto tmp12 = tmp11.reciprocal(); 2022-11-23T01:37:55.5180475Z auto tmp13 = at::vec::Vectorized(static_cast(1.0)); 2022-11-23T01:37:55.5180565Z auto tmp14 = tmp12 * tmp13; 2022-11-23T01:37:55.5180637Z auto tmp16 = tmp11 * tmp15; 2022-11-23T01:37:55.5180719Z auto tmp17 = tmp14 + tmp16; 2022-11-23T01:37:55.5180821Z tmp17.store(out_ptr0 + (8*i1) + (26*i0)); 2022-11-23T01:37:55.5180883Z } 2022-11-23T01:37:55.5181042Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.5181128Z for(long i1=24; i1<26; i1+=1) 2022-11-23T01:37:55.5181189Z { 2022-11-23T01:37:55.5181272Z auto tmp0 = in_ptr0[i1 + (26*i0)]; 2022-11-23T01:37:55.5181368Z auto tmp8 = in_ptr1[i1 + (26*i0)]; 2022-11-23T01:37:55.5181452Z auto tmp15 = in_ptr2[i1]; 2022-11-23T01:37:55.5181630Z auto tmp1 = static_cast(-1.061519070296458e-11); 2022-11-23T01:37:55.5181716Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.5181891Z auto tmp3 = static_cast(-1.988366587925593e-08); 2022-11-23T01:37:55.5181979Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.5182087Z auto tmp5 = tmp0 * tmp4; 2022-11-23T01:37:55.5182262Z auto tmp6 = static_cast(-3.087032500374211e-07); 2022-11-23T01:37:55.5182345Z auto tmp7 = tmp5 + tmp6; 2022-11-23T01:37:55.5182520Z auto tmp9 = static_cast(1.55093272922008e-10); 2022-11-23T01:37:55.5182609Z auto tmp10 = tmp8 * tmp9; 2022-11-23T01:37:55.5182695Z auto tmp11 = tmp7 + tmp10; 2022-11-23T01:37:55.5182774Z auto tmp12 = 1 / tmp11; 2022-11-23T01:37:55.5182864Z auto tmp13 = static_cast(1.0); 2022-11-23T01:37:55.5182949Z auto tmp14 = tmp12 * tmp13; 2022-11-23T01:37:55.5183031Z auto tmp16 = tmp11 * tmp15; 2022-11-23T01:37:55.5183115Z auto tmp17 = tmp14 + tmp16; 2022-11-23T01:37:55.5183204Z out_ptr0[i1 + (26*i0)] = tmp17; 2022-11-23T01:37:55.5183267Z } 2022-11-23T01:37:55.5183329Z } 2022-11-23T01:37:55.5183376Z } 2022-11-23T01:37:55.5183458Z ''') 2022-11-23T01:37:55.5183464Z 2022-11-23T01:37:55.5183469Z 2022-11-23T01:37:55.5183557Z async_compile.wait(globals()) 2022-11-23T01:37:55.5183632Z del async_compile 2022-11-23T01:37:55.5183636Z 2022-11-23T01:37:55.5183706Z def call(args): 2022-11-23T01:37:55.5183787Z arg0_1, arg1_1, arg2_1 = args 2022-11-23T01:37:55.5183859Z args.clear() 2022-11-23T01:37:55.5184064Z buf0 = empty_strided((204, 204, 26), (5304, 26, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5184253Z kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(arg2_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.5184322Z del arg0_1 2022-11-23T01:37:55.5184388Z del arg1_1 2022-11-23T01:37:55.5184451Z del arg2_1 2022-11-23T01:37:55.5184523Z return (buf0, ) 2022-11-23T01:37:55.5184528Z 2022-11-23T01:37:55.5184532Z 2022-11-23T01:37:55.5184607Z if __name__ == "__main__": 2022-11-23T01:37:55.5184721Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.5184836Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.5185054Z arg0_1 = rand_strided((204, 204, 26), (5304, 26, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5185269Z arg1_1 = rand_strided((204, 204, 26), (5304, 26, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5185465Z arg2_1 = rand_strided((26, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5185587Z print_performance(lambda: call([arg0_1, arg1_1, arg2_1])) 2022-11-23T01:37:55.5185593Z 2022-11-23T01:37:55.5185659Z ok (1.524s) 2022-11-23T01:37:55.5185969Z test_views1_cpu (__main__.CpuTests) ... [2022-11-23 01:36:12,296] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.5186241Z [2022-11-23 01:36:12,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.5186451Z [2022-11-23 01:36:12,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.5186711Z [2022-11-23 01:36:12,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.5187000Z [2022-11-23 01:36:12,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.5187369Z [2022-11-23 01:36:12,296] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.5187704Z [2022-11-23 01:36:12,297] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.5187799Z 940 0 LOAD_FAST 0 (x) 2022-11-23T01:37:55.5187892Z 2 LOAD_METHOD 0 (view) 2022-11-23T01:37:55.5187986Z 4 LOAD_DEREF 0 (size2) 2022-11-23T01:37:55.5188072Z 6 CALL_METHOD 1 2022-11-23T01:37:55.5188285Z 8 LOAD_FAST 1 (y) 2022-11-23T01:37:55.5188361Z 10 BINARY_ADD 2022-11-23T01:37:55.5188450Z 12 BUILD_TUPLE 1 2022-11-23T01:37:55.5188526Z 14 RETURN_VALUE 2022-11-23T01:37:55.5188588Z 2022-11-23T01:37:55.5188594Z 2022-11-23T01:37:55.5188873Z [2022-11-23 01:36:12,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:940 2022-11-23T01:37:55.5189087Z [2022-11-23 01:36:12,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.5189332Z [2022-11-23 01:36:12,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:37:55.5189604Z [2022-11-23 01:36:12,297] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:37:55.5189909Z [2022-11-23 01:36:12,298] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:37:55.5190150Z [2022-11-23 01:36:12,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:37:55.5190427Z [2022-11-23 01:36:12,299] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.5190675Z [2022-11-23 01:36:12,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.5190929Z [2022-11-23 01:36:12,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5191266Z [2022-11-23 01:36:12,300] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.5191515Z [2022-11-23 01:36:12,300] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5191753Z [2022-11-23 01:36:12,300] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.5192001Z [2022-11-23 01:36:12,302] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.5192252Z [2022-11-23 01:36:12,305] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.5192447Z [2022-11-23 01:36:12,306] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.5192584Z __compiled_fn_422 .3351 opcode, name, target, args, kwargs 2022-11-23T01:37:55.5192673Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.5192759Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.5192856Z call_method, view, view, (ex_0_, [5, 7]), {} 2022-11-23T01:37:55.5193036Z call_function, add, , (view, ex_1_), {} 2022-11-23T01:37:55.5193118Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.5193124Z 2022-11-23T01:37:55.5193400Z [2022-11-23 01:36:12,306] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5193497Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5193587Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5193681Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.5193769Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.5193847Z 8 RETURN_VALUE 2022-11-23T01:37:55.5193886Z 2022-11-23T01:37:55.5193983Z 2022-11-23T01:37:55.5194342Z [2022-11-23 01:36:12,306] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5194492Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_422) 2022-11-23T01:37:55.5194629Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5194759Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5194848Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.5194936Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5195024Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.5195128Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.5195215Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.5195319Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5195446Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:55.5195546Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:55.5195632Z 22 CALL_FUNCTION 0 2022-11-23T01:37:55.5195727Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:55.5195827Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5195902Z 28 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5195977Z 30 BINARY_SUBSCR 2022-11-23T01:37:55.5196065Z 32 BUILD_TUPLE 1 2022-11-23T01:37:55.5196155Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5196253Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5196341Z 38 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5196416Z 40 BINARY_SUBSCR 2022-11-23T01:37:55.5196506Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5196595Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5196696Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5196785Z 48 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5196862Z 50 BINARY_SUBSCR 2022-11-23T01:37:55.5196965Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5197040Z 54 RETURN_VALUE 2022-11-23T01:37:55.5197045Z 2022-11-23T01:37:55.5197093Z 2022-11-23T01:37:55.5197288Z [2022-11-23 01:36:12,307] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.5197363Z - 2022-11-23T01:37:55.5197485Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.5197552Z { 2022-11-23T01:37:55.5197700Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.5197891Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.5198000Z 'obj_weakref': None 2022-11-23T01:37:55.5198226Z 'guarded_class': 2022-11-23T01:37:55.5198296Z } 2022-11-23T01:37:55.5198361Z 2022-11-23T01:37:55.5198436Z - 2022-11-23T01:37:55.5198563Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.5198629Z { 2022-11-23T01:37:55.5198761Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5198871Z 'code': None, 2022-11-23T01:37:55.5199089Z 'obj_weakref': 2022-11-23T01:37:55.5199345Z 'guarded_class': 2022-11-23T01:37:55.5199412Z } 2022-11-23T01:37:55.5199480Z 2022-11-23T01:37:55.5199554Z - 2022-11-23T01:37:55.5199666Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.5199731Z { 2022-11-23T01:37:55.5199878Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5199985Z 'code': None, 2022-11-23T01:37:55.5200239Z 'obj_weakref': 2022-11-23T01:37:55.5200502Z 'guarded_class': 2022-11-23T01:37:55.5200565Z } 2022-11-23T01:37:55.5200615Z 2022-11-23T01:37:55.5200686Z - 2022-11-23T01:37:55.5200818Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.5200883Z { 2022-11-23T01:37:55.5201022Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.5201195Z 'code': ['___check_obj_id(model, 140538426411632)'], 2022-11-23T01:37:55.5201352Z 'obj_weakref': None 2022-11-23T01:37:55.5201574Z 'guarded_class': 2022-11-23T01:37:55.5201641Z } 2022-11-23T01:37:55.5201703Z 2022-11-23T01:37:55.5201777Z - 2022-11-23T01:37:55.5201903Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.5201970Z { 2022-11-23T01:37:55.5202111Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.5202315Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.5202438Z 'obj_weakref': None 2022-11-23T01:37:55.5202660Z 'guarded_class': 2022-11-23T01:37:55.5202725Z } 2022-11-23T01:37:55.5202787Z 2022-11-23T01:37:55.5202861Z - 2022-11-23T01:37:55.5203046Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:37:55.5203099Z { 2022-11-23T01:37:55.5203267Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:37:55.5203816Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93851402555296)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents == [5, 7]'], 2022-11-23T01:37:55.5203941Z 'obj_weakref': None 2022-11-23T01:37:55.5204165Z 'guarded_class': 2022-11-23T01:37:55.5204227Z } 2022-11-23T01:37:55.5204288Z 2022-11-23T01:37:55.5204357Z - 2022-11-23T01:37:55.5204532Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:37:55.5204597Z { 2022-11-23T01:37:55.5204740Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5205031Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents[0] == 5'], 2022-11-23T01:37:55.5205151Z 'obj_weakref': None 2022-11-23T01:37:55.5205374Z 'guarded_class': 2022-11-23T01:37:55.5205442Z } 2022-11-23T01:37:55.5205503Z 2022-11-23T01:37:55.5205560Z - 2022-11-23T01:37:55.5205752Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:37:55.5205817Z { 2022-11-23T01:37:55.5205961Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5206246Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents[1] == 7'], 2022-11-23T01:37:55.5206368Z 'obj_weakref': None 2022-11-23T01:37:55.5206590Z 'guarded_class': 2022-11-23T01:37:55.5206643Z } 2022-11-23T01:37:55.5206705Z 2022-11-23T01:37:55.5206967Z [2022-11-23 01:36:12,314] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 414 2022-11-23T01:37:55.5207375Z [2022-11-23 01:36:13,835] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2v/c2vogkbrrgqpcbklb7aafqpzb5cjcd4qxp6n536wamtvpvcxz4bp.py 2022-11-23T01:37:55.5207647Z [2022-11-23 01:36:13,836] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 414 2022-11-23T01:37:55.5207890Z [2022-11-23 01:36:13,842] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.5208161Z [2022-11-23 01:36:13,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.5208382Z [2022-11-23 01:36:13,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.5208673Z [2022-11-23 01:36:13,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.5208948Z [2022-11-23 01:36:13,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.5209275Z [2022-11-23 01:36:13,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.5209605Z [2022-11-23 01:36:13,843] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.5209696Z 943 0 LOAD_FAST 0 (x) 2022-11-23T01:37:55.5209787Z 2 LOAD_CONST 1 (1) 2022-11-23T01:37:55.5209864Z 4 BINARY_ADD 2022-11-23T01:37:55.5209960Z 6 LOAD_METHOD 0 (view) 2022-11-23T01:37:55.5210052Z 8 LOAD_DEREF 0 (size2) 2022-11-23T01:37:55.5210130Z 10 CALL_METHOD 1 2022-11-23T01:37:55.5210218Z 12 LOAD_FAST 1 (y) 2022-11-23T01:37:55.5210290Z 14 BINARY_ADD 2022-11-23T01:37:55.5210378Z 16 BUILD_TUPLE 1 2022-11-23T01:37:55.5210453Z 18 RETURN_VALUE 2022-11-23T01:37:55.5210512Z 2022-11-23T01:37:55.5210520Z 2022-11-23T01:37:55.5210793Z [2022-11-23 01:36:13,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:943 2022-11-23T01:37:55.5210994Z [2022-11-23 01:36:13,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.5211244Z [2022-11-23 01:36:13,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:37:55.5211528Z [2022-11-23 01:36:13,843] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.5211771Z [2022-11-23 01:36:13,844] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:37:55.5212059Z [2022-11-23 01:36:13,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:37:55.5212369Z [2022-11-23 01:36:13,845] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:37:55.5212608Z [2022-11-23 01:36:13,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:37:55.5212882Z [2022-11-23 01:36:13,846] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.5213126Z [2022-11-23 01:36:13,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.5213371Z [2022-11-23 01:36:13,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5213693Z [2022-11-23 01:36:13,847] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.5213944Z [2022-11-23 01:36:13,847] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5214209Z [2022-11-23 01:36:13,847] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.5214469Z [2022-11-23 01:36:13,849] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.5214721Z [2022-11-23 01:36:13,853] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.5214911Z [2022-11-23 01:36:13,853] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.5215044Z __compiled_fn_423 .3357 opcode, name, target, args, kwargs 2022-11-23T01:37:55.5215130Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.5215203Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.5215412Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:55.5215509Z call_method, view, view, (add, [5, 7]), {} 2022-11-23T01:37:55.5215691Z call_function, add_1, , (view, ex_1_), {} 2022-11-23T01:37:55.5215787Z output, output, output, ((add_1,),), {} 2022-11-23T01:37:55.5215793Z 2022-11-23T01:37:55.5216077Z [2022-11-23 01:36:13,854] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5216170Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5216261Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5216340Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.5216426Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.5216502Z 8 RETURN_VALUE 2022-11-23T01:37:55.5216507Z 2022-11-23T01:37:55.5216566Z 2022-11-23T01:37:55.5216842Z [2022-11-23 01:36:13,854] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5216952Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_423) 2022-11-23T01:37:55.5217041Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5217127Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5217191Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.5217280Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5217370Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.5217444Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.5217529Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.5217632Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5217757Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:55.5217840Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:55.5217927Z 22 CALL_FUNCTION 0 2022-11-23T01:37:55.5218023Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:55.5218122Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5218209Z 28 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5218283Z 30 BINARY_SUBSCR 2022-11-23T01:37:55.5218370Z 32 BUILD_TUPLE 1 2022-11-23T01:37:55.5218450Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5218548Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5218636Z 38 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5218711Z 40 BINARY_SUBSCR 2022-11-23T01:37:55.5219063Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5219207Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5219312Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5219399Z 48 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5219463Z 50 BINARY_SUBSCR 2022-11-23T01:37:55.5219568Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5219642Z 54 RETURN_VALUE 2022-11-23T01:37:55.5219648Z 2022-11-23T01:37:55.5219707Z 2022-11-23T01:37:55.5219899Z [2022-11-23 01:36:13,855] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.5219971Z - 2022-11-23T01:37:55.5220157Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.5220212Z { 2022-11-23T01:37:55.5220359Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.5220549Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.5220670Z 'obj_weakref': None 2022-11-23T01:37:55.5220894Z 'guarded_class': 2022-11-23T01:37:55.5220959Z } 2022-11-23T01:37:55.5221021Z 2022-11-23T01:37:55.5221079Z - 2022-11-23T01:37:55.5221205Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.5221323Z { 2022-11-23T01:37:55.5221470Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5221580Z 'code': None, 2022-11-23T01:37:55.5221795Z 'obj_weakref': 2022-11-23T01:37:55.5222053Z 'guarded_class': 2022-11-23T01:37:55.5222104Z } 2022-11-23T01:37:55.5222166Z 2022-11-23T01:37:55.5222238Z - 2022-11-23T01:37:55.5222363Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.5222427Z { 2022-11-23T01:37:55.5222573Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5222681Z 'code': None, 2022-11-23T01:37:55.5222882Z 'obj_weakref': 2022-11-23T01:37:55.5223136Z 'guarded_class': 2022-11-23T01:37:55.5223205Z } 2022-11-23T01:37:55.5223269Z 2022-11-23T01:37:55.5223339Z - 2022-11-23T01:37:55.5223473Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.5223535Z { 2022-11-23T01:37:55.5223658Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.5223833Z 'code': ['___check_obj_id(model, 140538441420240)'], 2022-11-23T01:37:55.5223955Z 'obj_weakref': None 2022-11-23T01:37:55.5224185Z 'guarded_class': 2022-11-23T01:37:55.5224250Z } 2022-11-23T01:37:55.5224312Z 2022-11-23T01:37:55.5224380Z - 2022-11-23T01:37:55.5224491Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.5224554Z { 2022-11-23T01:37:55.5224692Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.5224912Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.5225037Z 'obj_weakref': None 2022-11-23T01:37:55.5225258Z 'guarded_class': 2022-11-23T01:37:55.5225320Z } 2022-11-23T01:37:55.5225369Z 2022-11-23T01:37:55.5225439Z - 2022-11-23T01:37:55.5225619Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:37:55.5225680Z { 2022-11-23T01:37:55.5225851Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:37:55.5226399Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93851402555296)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents == [5, 7]'], 2022-11-23T01:37:55.5226523Z 'obj_weakref': None 2022-11-23T01:37:55.5226752Z 'guarded_class': 2022-11-23T01:37:55.5226803Z } 2022-11-23T01:37:55.5226866Z 2022-11-23T01:37:55.5226935Z - 2022-11-23T01:37:55.5227122Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:37:55.5227219Z { 2022-11-23T01:37:55.5227366Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5227653Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents[0] == 5'], 2022-11-23T01:37:55.5227761Z 'obj_weakref': None 2022-11-23T01:37:55.5227984Z 'guarded_class': 2022-11-23T01:37:55.5228048Z } 2022-11-23T01:37:55.5228184Z 2022-11-23T01:37:55.5228262Z - 2022-11-23T01:37:55.5228451Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:37:55.5228552Z { 2022-11-23T01:37:55.5228684Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5228969Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents[1] == 7'], 2022-11-23T01:37:55.5229091Z 'obj_weakref': None 2022-11-23T01:37:55.5229315Z 'guarded_class': 2022-11-23T01:37:55.5229377Z } 2022-11-23T01:37:55.5229441Z 2022-11-23T01:37:55.5229707Z [2022-11-23 01:36:13,863] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 415 2022-11-23T01:37:55.5230080Z [2022-11-23 01:36:15,249] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/s4/cs4t6mmjjiwkoxr4q3zlzpq6s7yjpxtjcwh7yrbkbpjcou3y6igc.py 2022-11-23T01:37:55.5230334Z [2022-11-23 01:36:15,249] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 415 2022-11-23T01:37:55.5230579Z [2022-11-23 01:36:15,256] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.5230847Z [2022-11-23 01:36:15,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.5231071Z [2022-11-23 01:36:15,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.5231331Z [2022-11-23 01:36:15,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.5231618Z [2022-11-23 01:36:15,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.5231945Z [2022-11-23 01:36:15,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.5232276Z [2022-11-23 01:36:15,257] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.5232372Z 940 0 LOAD_FAST 0 (x) 2022-11-23T01:37:55.5232454Z 2 LOAD_METHOD 0 (view) 2022-11-23T01:37:55.5232549Z 4 LOAD_DEREF 0 (size2) 2022-11-23T01:37:55.5232638Z 6 CALL_METHOD 1 2022-11-23T01:37:55.5232727Z 8 LOAD_FAST 1 (y) 2022-11-23T01:37:55.5232801Z 10 BINARY_ADD 2022-11-23T01:37:55.5232887Z 12 BUILD_TUPLE 1 2022-11-23T01:37:55.5232962Z 14 RETURN_VALUE 2022-11-23T01:37:55.5233010Z 2022-11-23T01:37:55.5233027Z 2022-11-23T01:37:55.5233285Z [2022-11-23 01:36:15,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:940 2022-11-23T01:37:55.5233494Z [2022-11-23 01:36:15,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.5233744Z [2022-11-23 01:36:15,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:37:55.5234029Z [2022-11-23 01:36:15,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:37:55.5234398Z [2022-11-23 01:36:15,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:37:55.5234642Z [2022-11-23 01:36:15,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:37:55.5234916Z [2022-11-23 01:36:15,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.5235158Z [2022-11-23 01:36:15,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.5235407Z [2022-11-23 01:36:15,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5235767Z [2022-11-23 01:36:15,260] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.5236017Z [2022-11-23 01:36:15,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5236256Z [2022-11-23 01:36:15,260] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.5236513Z [2022-11-23 01:36:15,262] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.5236769Z [2022-11-23 01:36:15,266] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.5236964Z [2022-11-23 01:36:15,266] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.5237099Z __compiled_fn_424 .3363 opcode, name, target, args, kwargs 2022-11-23T01:37:55.5237188Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.5237278Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.5237371Z call_method, view, view, (ex_0_, [2, 3, 4, 5, 6, 7]), {} 2022-11-23T01:37:55.5237555Z call_function, add, , (view, ex_1_), {} 2022-11-23T01:37:55.5237648Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.5237654Z 2022-11-23T01:37:55.5237935Z [2022-11-23 01:36:15,267] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5238028Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5238118Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5238209Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.5238286Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.5238361Z 8 RETURN_VALUE 2022-11-23T01:37:55.5238366Z 2022-11-23T01:37:55.5238425Z 2022-11-23T01:37:55.5238699Z [2022-11-23 01:36:15,267] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5238809Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_424) 2022-11-23T01:37:55.5238897Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5238985Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5239061Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.5239139Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5239225Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.5239301Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.5239389Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.5239493Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5239619Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:55.5239713Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:55.5239788Z 22 CALL_FUNCTION 0 2022-11-23T01:37:55.5239882Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:55.5239988Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5240076Z 28 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5240153Z 30 BINARY_SUBSCR 2022-11-23T01:37:55.5240241Z 32 BUILD_TUPLE 1 2022-11-23T01:37:55.5240363Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5240449Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5240539Z 38 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5240617Z 40 BINARY_SUBSCR 2022-11-23T01:37:55.5240719Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5240810Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5240909Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5240999Z 48 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5241075Z 50 BINARY_SUBSCR 2022-11-23T01:37:55.5241191Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5241266Z 54 RETURN_VALUE 2022-11-23T01:37:55.5241271Z 2022-11-23T01:37:55.5241332Z 2022-11-23T01:37:55.5241521Z [2022-11-23 01:36:15,269] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.5241597Z - 2022-11-23T01:37:55.5241722Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.5241790Z { 2022-11-23T01:37:55.5241923Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.5242114Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.5242241Z 'obj_weakref': None 2022-11-23T01:37:55.5242470Z 'guarded_class': 2022-11-23T01:37:55.5242537Z } 2022-11-23T01:37:55.5242603Z 2022-11-23T01:37:55.5242681Z - 2022-11-23T01:37:55.5242797Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.5242868Z { 2022-11-23T01:37:55.5243015Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5243127Z 'code': None, 2022-11-23T01:37:55.5243347Z 'obj_weakref': 2022-11-23T01:37:55.5243609Z 'guarded_class': 2022-11-23T01:37:55.5243674Z } 2022-11-23T01:37:55.5243723Z 2022-11-23T01:37:55.5243794Z - 2022-11-23T01:37:55.5243922Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.5243989Z { 2022-11-23T01:37:55.5244135Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5244246Z 'code': None, 2022-11-23T01:37:55.5244464Z 'obj_weakref': 2022-11-23T01:37:55.5244705Z 'guarded_class': 2022-11-23T01:37:55.5244773Z } 2022-11-23T01:37:55.5244838Z 2022-11-23T01:37:55.5244910Z - 2022-11-23T01:37:55.5245044Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.5245111Z { 2022-11-23T01:37:55.5245249Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.5245412Z 'code': ['___check_obj_id(model, 140538426411632)'], 2022-11-23T01:37:55.5245534Z 'obj_weakref': None 2022-11-23T01:37:55.5245771Z 'guarded_class': 2022-11-23T01:37:55.5245836Z } 2022-11-23T01:37:55.5245899Z 2022-11-23T01:37:55.5245971Z - 2022-11-23T01:37:55.5246094Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.5246144Z { 2022-11-23T01:37:55.5246283Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.5246503Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.5246629Z 'obj_weakref': None 2022-11-23T01:37:55.5246855Z 'guarded_class': 2022-11-23T01:37:55.5246917Z } 2022-11-23T01:37:55.5246978Z 2022-11-23T01:37:55.5247036Z - 2022-11-23T01:37:55.5247247Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:37:55.5247312Z { 2022-11-23T01:37:55.5247484Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:37:55.5248424Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93851402555296)', 'len(model.__closure__[0].cell_contents) == 6', '___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[2], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[3], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[4], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[5], 93851402553120)', 'model.__closure__[0].cell_contents == [2, 3, 4, 5, 6, 7]'], 2022-11-23T01:37:55.5248580Z 'obj_weakref': None 2022-11-23T01:37:55.5248809Z 'guarded_class': 2022-11-23T01:37:55.5248872Z } 2022-11-23T01:37:55.5248938Z 2022-11-23T01:37:55.5248997Z - 2022-11-23T01:37:55.5249183Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:37:55.5249248Z { 2022-11-23T01:37:55.5249392Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5249676Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents[0] == 2'], 2022-11-23T01:37:55.5249797Z 'obj_weakref': None 2022-11-23T01:37:55.5250023Z 'guarded_class': 2022-11-23T01:37:55.5250075Z } 2022-11-23T01:37:55.5250138Z 2022-11-23T01:37:55.5250210Z - 2022-11-23T01:37:55.5250398Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:37:55.5250461Z { 2022-11-23T01:37:55.5250607Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5250896Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents[1] == 3'], 2022-11-23T01:37:55.5251017Z 'obj_weakref': None 2022-11-23T01:37:55.5251227Z 'guarded_class': 2022-11-23T01:37:55.5251294Z } 2022-11-23T01:37:55.5251359Z 2022-11-23T01:37:55.5251431Z - 2022-11-23T01:37:55.5251617Z local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH 2022-11-23T01:37:55.5251683Z { 2022-11-23T01:37:55.5251814Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5252099Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 93851402553120)', 'model.__closure__[0].cell_contents[2] == 4'], 2022-11-23T01:37:55.5252219Z 'obj_weakref': None 2022-11-23T01:37:55.5252441Z 'guarded_class': 2022-11-23T01:37:55.5252507Z } 2022-11-23T01:37:55.5252569Z 2022-11-23T01:37:55.5252640Z - 2022-11-23T01:37:55.5252826Z local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH 2022-11-23T01:37:55.5252878Z { 2022-11-23T01:37:55.5253020Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5253302Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 93851402553120)', 'model.__closure__[0].cell_contents[3] == 5'], 2022-11-23T01:37:55.5253428Z 'obj_weakref': None 2022-11-23T01:37:55.5253649Z 'guarded_class': 2022-11-23T01:37:55.5253714Z } 2022-11-23T01:37:55.5253776Z 2022-11-23T01:37:55.5253836Z - 2022-11-23T01:37:55.5254050Z local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH 2022-11-23T01:37:55.5254113Z { 2022-11-23T01:37:55.5254256Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5254540Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 93851402553120)', 'model.__closure__[0].cell_contents[4] == 6'], 2022-11-23T01:37:55.5254661Z 'obj_weakref': None 2022-11-23T01:37:55.5254883Z 'guarded_class': 2022-11-23T01:37:55.5254944Z } 2022-11-23T01:37:55.5254993Z 2022-11-23T01:37:55.5255061Z - 2022-11-23T01:37:55.5255280Z local 'model.__closure__[0].cell_contents[5]' CONSTANT_MATCH 2022-11-23T01:37:55.5255344Z { 2022-11-23T01:37:55.5255486Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5255766Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[5], 93851402553120)', 'model.__closure__[0].cell_contents[5] == 7'], 2022-11-23T01:37:55.5255888Z 'obj_weakref': None 2022-11-23T01:37:55.5256096Z 'guarded_class': 2022-11-23T01:37:55.5256160Z } 2022-11-23T01:37:55.5256221Z 2022-11-23T01:37:55.5256486Z [2022-11-23 01:36:15,275] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 416 2022-11-23T01:37:55.5256858Z [2022-11-23 01:36:16,801] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zm/czmp3pogtvk4r5thwi57gfn462axz5r2imbnretm5jcyqi6xmhu4.py 2022-11-23T01:37:55.5257124Z [2022-11-23 01:36:16,802] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 416 2022-11-23T01:37:55.5257366Z [2022-11-23 01:36:16,809] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.5257638Z [2022-11-23 01:36:16,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.5257847Z [2022-11-23 01:36:16,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.5258101Z [2022-11-23 01:36:16,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.5258387Z [2022-11-23 01:36:16,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.5258712Z [2022-11-23 01:36:16,809] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.5259271Z [2022-11-23 01:36:16,810] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.5259368Z 943 0 LOAD_FAST 0 (x) 2022-11-23T01:37:55.5259459Z 2 LOAD_CONST 1 (1) 2022-11-23T01:37:55.5259531Z 4 BINARY_ADD 2022-11-23T01:37:55.5259627Z 6 LOAD_METHOD 0 (view) 2022-11-23T01:37:55.5259708Z 8 LOAD_DEREF 0 (size2) 2022-11-23T01:37:55.5259795Z 10 CALL_METHOD 1 2022-11-23T01:37:55.5259883Z 12 LOAD_FAST 1 (y) 2022-11-23T01:37:55.5259956Z 14 BINARY_ADD 2022-11-23T01:37:55.5260043Z 16 BUILD_TUPLE 1 2022-11-23T01:37:55.5260117Z 18 RETURN_VALUE 2022-11-23T01:37:55.5260178Z 2022-11-23T01:37:55.5260184Z 2022-11-23T01:37:55.5260448Z [2022-11-23 01:36:16,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:943 2022-11-23T01:37:55.5260661Z [2022-11-23 01:36:16,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.5260907Z [2022-11-23 01:36:16,810] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:37:55.5261258Z [2022-11-23 01:36:16,811] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.5261506Z [2022-11-23 01:36:16,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:37:55.5261788Z [2022-11-23 01:36:16,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:37:55.5262094Z [2022-11-23 01:36:16,812] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:37:55.5262332Z [2022-11-23 01:36:16,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:37:55.5262649Z [2022-11-23 01:36:16,814] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.5262881Z [2022-11-23 01:36:16,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.5263133Z [2022-11-23 01:36:16,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5263467Z [2022-11-23 01:36:16,815] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.5263715Z [2022-11-23 01:36:16,815] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5264062Z [2022-11-23 01:36:16,815] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.5264329Z [2022-11-23 01:36:16,817] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.5264584Z [2022-11-23 01:36:16,821] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.5264777Z [2022-11-23 01:36:16,821] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.5264912Z __compiled_fn_425 .3369 opcode, name, target, args, kwargs 2022-11-23T01:37:55.5264991Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.5265076Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.5265252Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:55.5265356Z call_method, view, view, (add, [2, 3, 4, 5, 6, 7]), {} 2022-11-23T01:37:55.5265539Z call_function, add_1, , (view, ex_1_), {} 2022-11-23T01:37:55.5265633Z output, output, output, ((add_1,),), {} 2022-11-23T01:37:55.5265638Z 2022-11-23T01:37:55.5265917Z [2022-11-23 01:36:16,822] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5266013Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5266092Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5266184Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.5266272Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.5266349Z 8 RETURN_VALUE 2022-11-23T01:37:55.5266356Z 2022-11-23T01:37:55.5266416Z 2022-11-23T01:37:55.5266694Z [2022-11-23 01:36:16,822] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5266800Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_425) 2022-11-23T01:37:55.5266886Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5266964Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5267039Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.5267126Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5267212Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.5267289Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.5267377Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.5267481Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5267595Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:55.5267730Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:55.5267818Z 22 CALL_FUNCTION 0 2022-11-23T01:37:55.5267910Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:55.5268010Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5268170Z 28 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5268261Z 30 BINARY_SUBSCR 2022-11-23T01:37:55.5268337Z 32 BUILD_TUPLE 1 2022-11-23T01:37:55.5268429Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5268527Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5268665Z 38 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5268743Z 40 BINARY_SUBSCR 2022-11-23T01:37:55.5268844Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5268935Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5269023Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5269108Z 48 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5269183Z 50 BINARY_SUBSCR 2022-11-23T01:37:55.5269284Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5269358Z 54 RETURN_VALUE 2022-11-23T01:37:55.5269364Z 2022-11-23T01:37:55.5269423Z 2022-11-23T01:37:55.5269613Z [2022-11-23 01:36:16,824] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.5269684Z - 2022-11-23T01:37:55.5269793Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.5269857Z { 2022-11-23T01:37:55.5270003Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.5270193Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.5270315Z 'obj_weakref': None 2022-11-23T01:37:55.5270543Z 'guarded_class': 2022-11-23T01:37:55.5270611Z } 2022-11-23T01:37:55.5270662Z 2022-11-23T01:37:55.5270732Z - 2022-11-23T01:37:55.5270858Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.5270921Z { 2022-11-23T01:37:55.5271064Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5271174Z 'code': None, 2022-11-23T01:37:55.5271391Z 'obj_weakref': 2022-11-23T01:37:55.5271632Z 'guarded_class': 2022-11-23T01:37:55.5271696Z } 2022-11-23T01:37:55.5271761Z 2022-11-23T01:37:55.5271831Z - 2022-11-23T01:37:55.5271956Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.5272018Z { 2022-11-23T01:37:55.5272160Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5272255Z 'code': None, 2022-11-23T01:37:55.5272471Z 'obj_weakref': 2022-11-23T01:37:55.5272729Z 'guarded_class': 2022-11-23T01:37:55.5272791Z } 2022-11-23T01:37:55.5272853Z 2022-11-23T01:37:55.5272923Z - 2022-11-23T01:37:55.5273057Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.5273108Z { 2022-11-23T01:37:55.5273243Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.5273415Z 'code': ['___check_obj_id(model, 140538441420240)'], 2022-11-23T01:37:55.5273538Z 'obj_weakref': None 2022-11-23T01:37:55.5273773Z 'guarded_class': 2022-11-23T01:37:55.5273836Z } 2022-11-23T01:37:55.5273897Z 2022-11-23T01:37:55.5273954Z - 2022-11-23T01:37:55.5274078Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.5274141Z { 2022-11-23T01:37:55.5274308Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.5274530Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.5274650Z 'obj_weakref': None 2022-11-23T01:37:55.5274873Z 'guarded_class': 2022-11-23T01:37:55.5274925Z } 2022-11-23T01:37:55.5274985Z 2022-11-23T01:37:55.5275055Z - 2022-11-23T01:37:55.5275234Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:37:55.5275328Z { 2022-11-23T01:37:55.5275500Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:37:55.5276438Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93851402555296)', 'len(model.__closure__[0].cell_contents) == 6', '___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[2], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[3], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[4], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[5], 93851402553120)', 'model.__closure__[0].cell_contents == [2, 3, 4, 5, 6, 7]'], 2022-11-23T01:37:55.5276562Z 'obj_weakref': None 2022-11-23T01:37:55.5276784Z 'guarded_class': 2022-11-23T01:37:55.5276836Z } 2022-11-23T01:37:55.5276902Z 2022-11-23T01:37:55.5276972Z - 2022-11-23T01:37:55.5277158Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:37:55.5277221Z { 2022-11-23T01:37:55.5277364Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5277650Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents[0] == 2'], 2022-11-23T01:37:55.5277760Z 'obj_weakref': None 2022-11-23T01:37:55.5277983Z 'guarded_class': 2022-11-23T01:37:55.5278044Z } 2022-11-23T01:37:55.5278105Z 2022-11-23T01:37:55.5278174Z - 2022-11-23T01:37:55.5278359Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:37:55.5278422Z { 2022-11-23T01:37:55.5278553Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5278842Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents[1] == 3'], 2022-11-23T01:37:55.5278963Z 'obj_weakref': None 2022-11-23T01:37:55.5279187Z 'guarded_class': 2022-11-23T01:37:55.5279251Z } 2022-11-23T01:37:55.5279313Z 2022-11-23T01:37:55.5279386Z - 2022-11-23T01:37:55.5279560Z local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH 2022-11-23T01:37:55.5279624Z { 2022-11-23T01:37:55.5279768Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5280054Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 93851402553120)', 'model.__closure__[0].cell_contents[2] == 4'], 2022-11-23T01:37:55.5280174Z 'obj_weakref': None 2022-11-23T01:37:55.5280395Z 'guarded_class': 2022-11-23T01:37:55.5280462Z } 2022-11-23T01:37:55.5280524Z 2022-11-23T01:37:55.5280581Z - 2022-11-23T01:37:55.5280766Z local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH 2022-11-23T01:37:55.5280829Z { 2022-11-23T01:37:55.5280973Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5281286Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 93851402553120)', 'model.__closure__[0].cell_contents[3] == 5'], 2022-11-23T01:37:55.5281408Z 'obj_weakref': None 2022-11-23T01:37:55.5281630Z 'guarded_class': 2022-11-23T01:37:55.5281683Z } 2022-11-23T01:37:55.5281745Z 2022-11-23T01:37:55.5281816Z - 2022-11-23T01:37:55.5282004Z local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH 2022-11-23T01:37:55.5282070Z { 2022-11-23T01:37:55.5282247Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5282530Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 93851402553120)', 'model.__closure__[0].cell_contents[4] == 6'], 2022-11-23T01:37:55.5282640Z 'obj_weakref': None 2022-11-23T01:37:55.5282866Z 'guarded_class': 2022-11-23T01:37:55.5282932Z } 2022-11-23T01:37:55.5288959Z 2022-11-23T01:37:55.5289063Z - 2022-11-23T01:37:55.5289279Z local 'model.__closure__[0].cell_contents[5]' CONSTANT_MATCH 2022-11-23T01:37:55.5289348Z { 2022-11-23T01:37:55.5289487Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5289782Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[5], 93851402553120)', 'model.__closure__[0].cell_contents[5] == 7'], 2022-11-23T01:37:55.5289907Z 'obj_weakref': None 2022-11-23T01:37:55.5290144Z 'guarded_class': 2022-11-23T01:37:55.5290214Z } 2022-11-23T01:37:55.5290281Z 2022-11-23T01:37:55.5290552Z [2022-11-23 01:36:16,831] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 417 2022-11-23T01:37:55.5290935Z [2022-11-23 01:36:18,203] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lz/clzymuoaz67yp3hvj2jcaqdvuonkcsgim4stke64w2n7bws46qdg.py 2022-11-23T01:37:55.5291195Z [2022-11-23 01:36:18,203] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 417 2022-11-23T01:37:55.5291438Z [2022-11-23 01:36:18,210] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.5291710Z [2022-11-23 01:36:18,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.5291933Z [2022-11-23 01:36:18,210] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.5292196Z [2022-11-23 01:36:18,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.5292487Z [2022-11-23 01:36:18,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.5292819Z [2022-11-23 01:36:18,211] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.5293152Z [2022-11-23 01:36:18,211] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.5293250Z 940 0 LOAD_FAST 0 (x) 2022-11-23T01:37:55.5293348Z 2 LOAD_METHOD 0 (view) 2022-11-23T01:37:55.5293430Z 4 LOAD_DEREF 0 (size2) 2022-11-23T01:37:55.5293518Z 6 CALL_METHOD 1 2022-11-23T01:37:55.5293612Z 8 LOAD_FAST 1 (y) 2022-11-23T01:37:55.5293688Z 10 BINARY_ADD 2022-11-23T01:37:55.5293778Z 12 BUILD_TUPLE 1 2022-11-23T01:37:55.5293856Z 14 RETURN_VALUE 2022-11-23T01:37:55.5293920Z 2022-11-23T01:37:55.5293926Z 2022-11-23T01:37:55.5294263Z [2022-11-23 01:36:18,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:940 2022-11-23T01:37:55.5294481Z [2022-11-23 01:36:18,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.5294730Z [2022-11-23 01:36:18,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:37:55.5295019Z [2022-11-23 01:36:18,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:37:55.5295327Z [2022-11-23 01:36:18,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:37:55.5295609Z [2022-11-23 01:36:18,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:37:55.5295886Z [2022-11-23 01:36:18,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.5296137Z [2022-11-23 01:36:18,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.5296390Z [2022-11-23 01:36:18,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5296713Z [2022-11-23 01:36:18,215] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.5296964Z [2022-11-23 01:36:18,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5297204Z [2022-11-23 01:36:18,215] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.5297467Z [2022-11-23 01:36:18,217] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.5297721Z [2022-11-23 01:36:18,220] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.5297920Z [2022-11-23 01:36:18,221] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.5298058Z __compiled_fn_426 .3375 opcode, name, target, args, kwargs 2022-11-23T01:37:55.5298152Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.5298239Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.5298333Z call_method, view, view, (ex_0_, [2, 3, 4, 5, 6, 7]), {} 2022-11-23T01:37:55.5298518Z call_function, add, , (view, ex_1_), {} 2022-11-23T01:37:55.5298615Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.5298620Z 2022-11-23T01:37:55.5299129Z [2022-11-23 01:36:18,221] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5299262Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5299359Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5299455Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.5299550Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.5299615Z 8 RETURN_VALUE 2022-11-23T01:37:55.5299620Z 2022-11-23T01:37:55.5299682Z 2022-11-23T01:37:55.5299964Z [2022-11-23 01:36:18,222] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5300074Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_426) 2022-11-23T01:37:55.5300166Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5300258Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5300337Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.5300414Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5300506Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.5300582Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.5300674Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.5300780Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5300974Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:55.5301073Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:55.5301147Z 22 CALL_FUNCTION 0 2022-11-23T01:37:55.5301246Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:55.5301348Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5301439Z 28 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5301517Z 30 BINARY_SUBSCR 2022-11-23T01:37:55.5301607Z 32 BUILD_TUPLE 1 2022-11-23T01:37:55.5301702Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5301850Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5301926Z 38 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5302002Z 40 BINARY_SUBSCR 2022-11-23T01:37:55.5302106Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5302198Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5302296Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5302385Z 48 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5302462Z 50 BINARY_SUBSCR 2022-11-23T01:37:55.5302550Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5302626Z 54 RETURN_VALUE 2022-11-23T01:37:55.5302631Z 2022-11-23T01:37:55.5302692Z 2022-11-23T01:37:55.5302882Z [2022-11-23 01:36:18,223] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.5302957Z - 2022-11-23T01:37:55.5303080Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.5303148Z { 2022-11-23T01:37:55.5303280Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.5303468Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.5303592Z 'obj_weakref': None 2022-11-23T01:37:55.5303823Z 'guarded_class': 2022-11-23T01:37:55.5303891Z } 2022-11-23T01:37:55.5303956Z 2022-11-23T01:37:55.5304028Z - 2022-11-23T01:37:55.5304143Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.5304209Z { 2022-11-23T01:37:55.5304357Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5304467Z 'code': None, 2022-11-23T01:37:55.5304682Z 'obj_weakref': 2022-11-23T01:37:55.5304942Z 'guarded_class': 2022-11-23T01:37:55.5305011Z } 2022-11-23T01:37:55.5305061Z 2022-11-23T01:37:55.5305133Z - 2022-11-23T01:37:55.5305261Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.5305325Z { 2022-11-23T01:37:55.5305470Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5305581Z 'code': None, 2022-11-23T01:37:55.5305801Z 'obj_weakref': 2022-11-23T01:37:55.5306044Z 'guarded_class': 2022-11-23T01:37:55.5306111Z } 2022-11-23T01:37:55.5306175Z 2022-11-23T01:37:55.5306248Z - 2022-11-23T01:37:55.5306383Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.5306447Z { 2022-11-23T01:37:55.5306584Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.5306745Z 'code': ['___check_obj_id(model, 140538426411632)'], 2022-11-23T01:37:55.5306872Z 'obj_weakref': None 2022-11-23T01:37:55.5307108Z 'guarded_class': 2022-11-23T01:37:55.5307173Z } 2022-11-23T01:37:55.5307237Z 2022-11-23T01:37:55.5307310Z - 2022-11-23T01:37:55.5307470Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.5307522Z { 2022-11-23T01:37:55.5307665Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.5307887Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.5308013Z 'obj_weakref': None 2022-11-23T01:37:55.5308314Z 'guarded_class': 2022-11-23T01:37:55.5308383Z } 2022-11-23T01:37:55.5308446Z 2022-11-23T01:37:55.5308506Z - 2022-11-23T01:37:55.5308689Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:37:55.5308792Z { 2022-11-23T01:37:55.5308967Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:37:55.5309901Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93851402555296)', 'len(model.__closure__[0].cell_contents) == 6', '___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[2], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[3], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[4], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[5], 93851402553120)', 'model.__closure__[0].cell_contents == [2, 3, 4, 5, 6, 7]'], 2022-11-23T01:37:55.5310025Z 'obj_weakref': None 2022-11-23T01:37:55.5310251Z 'guarded_class': 2022-11-23T01:37:55.5310319Z } 2022-11-23T01:37:55.5310383Z 2022-11-23T01:37:55.5310440Z - 2022-11-23T01:37:55.5310632Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:37:55.5310698Z { 2022-11-23T01:37:55.5310845Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5311135Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents[0] == 2'], 2022-11-23T01:37:55.5311263Z 'obj_weakref': None 2022-11-23T01:37:55.5311491Z 'guarded_class': 2022-11-23T01:37:55.5311557Z } 2022-11-23T01:37:55.5311606Z 2022-11-23T01:37:55.5311676Z - 2022-11-23T01:37:55.5311863Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:37:55.5311928Z { 2022-11-23T01:37:55.5312073Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5312363Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents[1] == 3'], 2022-11-23T01:37:55.5312487Z 'obj_weakref': None 2022-11-23T01:37:55.5312699Z 'guarded_class': 2022-11-23T01:37:55.5312765Z } 2022-11-23T01:37:55.5312830Z 2022-11-23T01:37:55.5312902Z - 2022-11-23T01:37:55.5313090Z local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH 2022-11-23T01:37:55.5313154Z { 2022-11-23T01:37:55.5313299Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5313573Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 93851402553120)', 'model.__closure__[0].cell_contents[2] == 4'], 2022-11-23T01:37:55.5313694Z 'obj_weakref': None 2022-11-23T01:37:55.5313919Z 'guarded_class': 2022-11-23T01:37:55.5313987Z } 2022-11-23T01:37:55.5314051Z 2022-11-23T01:37:55.5314125Z - 2022-11-23T01:37:55.5314313Z local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH 2022-11-23T01:37:55.5314364Z { 2022-11-23T01:37:55.5314542Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5314834Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 93851402553120)', 'model.__closure__[0].cell_contents[3] == 5'], 2022-11-23T01:37:55.5314957Z 'obj_weakref': None 2022-11-23T01:37:55.5315183Z 'guarded_class': 2022-11-23T01:37:55.5315249Z } 2022-11-23T01:37:55.5315313Z 2022-11-23T01:37:55.5315371Z - 2022-11-23T01:37:55.5315560Z local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH 2022-11-23T01:37:55.5315657Z { 2022-11-23T01:37:55.5315804Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5316091Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 93851402553120)', 'model.__closure__[0].cell_contents[4] == 6'], 2022-11-23T01:37:55.5316216Z 'obj_weakref': None 2022-11-23T01:37:55.5316442Z 'guarded_class': 2022-11-23T01:37:55.5316506Z } 2022-11-23T01:37:55.5316555Z 2022-11-23T01:37:55.5316626Z - 2022-11-23T01:37:55.5316817Z local 'model.__closure__[0].cell_contents[5]' CONSTANT_MATCH 2022-11-23T01:37:55.5316880Z { 2022-11-23T01:37:55.5317025Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5317309Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[5], 93851402553120)', 'model.__closure__[0].cell_contents[5] == 7'], 2022-11-23T01:37:55.5317431Z 'obj_weakref': None 2022-11-23T01:37:55.5317644Z 'guarded_class': 2022-11-23T01:37:55.5317709Z } 2022-11-23T01:37:55.5317773Z 2022-11-23T01:37:55.5318039Z [2022-11-23 01:36:18,230] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 418 2022-11-23T01:37:55.5318048Z 2022-11-23T01:37:55.5318143Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.5318212Z import torch 2022-11-23T01:37:55.5318283Z import random 2022-11-23T01:37:55.5318385Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.5318509Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.5318514Z 2022-11-23T01:37:55.5318594Z aten = torch.ops.aten 2022-11-23T01:37:55.5318729Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.5318821Z async_compile = AsyncCompile() 2022-11-23T01:37:55.5318827Z 2022-11-23T01:37:55.5318831Z 2022-11-23T01:37:55.5318974Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.5319178Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.5319299Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.5319404Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.5319494Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.5319558Z { 2022-11-23T01:37:55.5319640Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:55.5319703Z { 2022-11-23T01:37:55.5319857Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.5319990Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.5320075Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5320149Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.5320211Z } 2022-11-23T01:37:55.5320300Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.5320381Z for(long i0=32; i0<35; i0+=1) 2022-11-23T01:37:55.5320446Z { 2022-11-23T01:37:55.5320529Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.5320595Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.5320676Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5320753Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.5320816Z } 2022-11-23T01:37:55.5320878Z } 2022-11-23T01:37:55.5320993Z ''') 2022-11-23T01:37:55.5320999Z 2022-11-23T01:37:55.5321004Z 2022-11-23T01:37:55.5321095Z async_compile.wait(globals()) 2022-11-23T01:37:55.5321170Z del async_compile 2022-11-23T01:37:55.5321175Z 2022-11-23T01:37:55.5321234Z def call(args): 2022-11-23T01:37:55.5321310Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.5321381Z args.clear() 2022-11-23T01:37:55.5321580Z buf0 = empty_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5321744Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.5321812Z del arg0_1 2022-11-23T01:37:55.5321924Z del arg1_1 2022-11-23T01:37:55.5321983Z return (buf0, ) 2022-11-23T01:37:55.5321988Z 2022-11-23T01:37:55.5321992Z 2022-11-23T01:37:55.5322068Z if __name__ == "__main__": 2022-11-23T01:37:55.5322187Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.5322311Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.5322515Z arg0_1 = rand_strided((35, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5322716Z arg1_1 = rand_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5322830Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.5322835Z 2022-11-23T01:37:55.5322839Z 2022-11-23T01:37:55.5322930Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.5322987Z import torch 2022-11-23T01:37:55.5323055Z import random 2022-11-23T01:37:55.5323169Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.5323289Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.5323296Z 2022-11-23T01:37:55.5323374Z aten = torch.ops.aten 2022-11-23T01:37:55.5323506Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.5323596Z async_compile = AsyncCompile() 2022-11-23T01:37:55.5323600Z 2022-11-23T01:37:55.5323605Z 2022-11-23T01:37:55.5323741Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.5323937Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.5324055Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.5324160Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.5324261Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.5324321Z { 2022-11-23T01:37:55.5324401Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:55.5324462Z { 2022-11-23T01:37:55.5324582Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.5324712Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.5324845Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:55.5324927Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5325010Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.5325098Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.5325164Z } 2022-11-23T01:37:55.5325255Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.5325324Z for(long i0=32; i0<35; i0+=1) 2022-11-23T01:37:55.5325386Z { 2022-11-23T01:37:55.5325467Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.5325550Z auto tmp3 = in_ptr1[i0]; 2022-11-23T01:37:55.5325648Z auto tmp1 = static_cast(1); 2022-11-23T01:37:55.5325732Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5325799Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.5325879Z out_ptr0[i0] = tmp4; 2022-11-23T01:37:55.5325943Z } 2022-11-23T01:37:55.5326004Z } 2022-11-23T01:37:55.5326087Z ''') 2022-11-23T01:37:55.5326095Z 2022-11-23T01:37:55.5326099Z 2022-11-23T01:37:55.5326189Z async_compile.wait(globals()) 2022-11-23T01:37:55.5326265Z del async_compile 2022-11-23T01:37:55.5326270Z 2022-11-23T01:37:55.5326341Z def call(args): 2022-11-23T01:37:55.5326404Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.5326477Z args.clear() 2022-11-23T01:37:55.5326707Z buf0 = empty_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5326876Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.5326946Z del arg0_1 2022-11-23T01:37:55.5327016Z del arg1_1 2022-11-23T01:37:55.5327089Z return (buf0, ) 2022-11-23T01:37:55.5327094Z 2022-11-23T01:37:55.5327098Z 2022-11-23T01:37:55.5327161Z if __name__ == "__main__": 2022-11-23T01:37:55.5327276Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.5327400Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.5327639Z arg0_1 = rand_strided((35, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5327841Z arg1_1 = rand_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5327957Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.5327962Z 2022-11-23T01:37:55.5327966Z 2022-11-23T01:37:55.5328064Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.5328137Z import torch 2022-11-23T01:37:55.5328195Z import random 2022-11-23T01:37:55.5328312Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.5328478Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.5328482Z 2022-11-23T01:37:55.5328562Z aten = torch.ops.aten 2022-11-23T01:37:55.5328697Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.5328789Z async_compile = AsyncCompile() 2022-11-23T01:37:55.5328794Z 2022-11-23T01:37:55.5328798Z 2022-11-23T01:37:55.5328935Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.5329145Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.5329251Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.5329356Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.5329457Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.5329520Z { 2022-11-23T01:37:55.5329605Z for(long i0=0; i0<630; i0+=1) 2022-11-23T01:37:55.5329667Z { 2022-11-23T01:37:55.5329800Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.5329920Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.5330004Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5330092Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.5330156Z } 2022-11-23T01:37:55.5330244Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.5330329Z for(long i0=5040; i0<5040; i0+=1) 2022-11-23T01:37:55.5330388Z { 2022-11-23T01:37:55.5330459Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.5330540Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.5330620Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5330698Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.5330756Z } 2022-11-23T01:37:55.5330814Z } 2022-11-23T01:37:55.5330900Z ''') 2022-11-23T01:37:55.5330905Z 2022-11-23T01:37:55.5330912Z 2022-11-23T01:37:55.5330987Z async_compile.wait(globals()) 2022-11-23T01:37:55.5331060Z del async_compile 2022-11-23T01:37:55.5331065Z 2022-11-23T01:37:55.5331135Z def call(args): 2022-11-23T01:37:55.5331208Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.5331279Z args.clear() 2022-11-23T01:37:55.5331515Z buf0 = empty_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5331678Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.5331744Z del arg0_1 2022-11-23T01:37:55.5331798Z del arg1_1 2022-11-23T01:37:55.5331871Z return (buf0, ) 2022-11-23T01:37:55.5331876Z 2022-11-23T01:37:55.5331879Z 2022-11-23T01:37:55.5331953Z if __name__ == "__main__": 2022-11-23T01:37:55.5332065Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.5332189Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.5332418Z arg0_1 = rand_strided((5040, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5332662Z arg1_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5332765Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.5332781Z 2022-11-23T01:37:55.5332785Z 2022-11-23T01:37:55.5332865Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.5332934Z import torch 2022-11-23T01:37:55.5333003Z import random 2022-11-23T01:37:55.5333116Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.5333234Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.5333269Z 2022-11-23T01:37:55.5333347Z aten = torch.ops.aten 2022-11-23T01:37:55.5333478Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.5333557Z async_compile = AsyncCompile() 2022-11-23T01:37:55.5333572Z 2022-11-23T01:37:55.5333576Z 2022-11-23T01:37:55.5333700Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.5333907Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.5334026Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.5334129Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.5334227Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.5334288Z { 2022-11-23T01:37:55.5334368Z for(long i0=0; i0<630; i0+=1) 2022-11-23T01:37:55.5334417Z { 2022-11-23T01:37:55.5334550Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.5334681Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.5334817Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:55.5334900Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5334980Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.5335067Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.5335126Z } 2022-11-23T01:37:55.5335203Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.5335285Z for(long i0=5040; i0<5040; i0+=1) 2022-11-23T01:37:55.5335347Z { 2022-11-23T01:37:55.5335428Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.5335506Z auto tmp3 = in_ptr1[i0]; 2022-11-23T01:37:55.5335600Z auto tmp1 = static_cast(1); 2022-11-23T01:37:55.5335669Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5335749Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.5335825Z out_ptr0[i0] = tmp4; 2022-11-23T01:37:55.5335885Z } 2022-11-23T01:37:55.5335943Z } 2022-11-23T01:37:55.5336025Z ''') 2022-11-23T01:37:55.5336033Z 2022-11-23T01:37:55.5336037Z 2022-11-23T01:37:55.5336124Z async_compile.wait(globals()) 2022-11-23T01:37:55.5336183Z del async_compile 2022-11-23T01:37:55.5336199Z 2022-11-23T01:37:55.5336256Z def call(args): 2022-11-23T01:37:55.5336329Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.5336400Z args.clear() 2022-11-23T01:37:55.5336638Z buf0 = empty_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5336802Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.5336869Z del arg0_1 2022-11-23T01:37:55.5336934Z del arg1_1 2022-11-23T01:37:55.5336992Z return (buf0, ) 2022-11-23T01:37:55.5336997Z 2022-11-23T01:37:55.5337001Z 2022-11-23T01:37:55.5337076Z if __name__ == "__main__": 2022-11-23T01:37:55.5337188Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.5337312Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.5337515Z arg0_1 = rand_strided((5040, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5337751Z arg1_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5337863Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.5337868Z 2022-11-23T01:37:55.5337905Z 2022-11-23T01:37:55.5337998Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.5338056Z import torch 2022-11-23T01:37:55.5338127Z import random 2022-11-23T01:37:55.5338240Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.5338359Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.5338364Z 2022-11-23T01:37:55.5338440Z aten = torch.ops.aten 2022-11-23T01:37:55.5338571Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.5338661Z async_compile = AsyncCompile() 2022-11-23T01:37:55.5338665Z 2022-11-23T01:37:55.5338670Z 2022-11-23T01:37:55.5339096Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.5339297Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.5339419Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.5339522Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.5339624Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.5339685Z { 2022-11-23T01:37:55.5339765Z for(long i0=0; i0<630; i0+=1) 2022-11-23T01:37:55.5339826Z { 2022-11-23T01:37:55.5339948Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.5340077Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.5340160Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5340248Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.5340307Z } 2022-11-23T01:37:55.5340395Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.5340479Z for(long i0=5040; i0<5040; i0+=1) 2022-11-23T01:37:55.5340529Z { 2022-11-23T01:37:55.5340608Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.5340688Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.5340767Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5340844Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.5340904Z } 2022-11-23T01:37:55.5340963Z } 2022-11-23T01:37:55.5341037Z ''') 2022-11-23T01:37:55.5341042Z 2022-11-23T01:37:55.5341058Z 2022-11-23T01:37:55.5341135Z async_compile.wait(globals()) 2022-11-23T01:37:55.5341206Z del async_compile 2022-11-23T01:37:55.5341211Z 2022-11-23T01:37:55.5341279Z def call(args): 2022-11-23T01:37:55.5341353Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.5341424Z args.clear() 2022-11-23T01:37:55.5341660Z buf0 = empty_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5341822Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.5341882Z del arg0_1 2022-11-23T01:37:55.5341948Z del arg1_1 2022-11-23T01:37:55.5342019Z return (buf0, ) 2022-11-23T01:37:55.5342024Z 2022-11-23T01:37:55.5342028Z 2022-11-23T01:37:55.5342101Z if __name__ == "__main__": 2022-11-23T01:37:55.5342214Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.5342338Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.5342559Z arg0_1 = rand_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5342796Z arg1_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5342900Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.5343272Z [2022-11-23 01:36:18,243] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/46/c46vvdogwgt3zqt5dti4cx6hqpwayw23pf5g7a2i7v4qmdbf2tzt.py 2022-11-23T01:37:55.5343542Z [2022-11-23 01:36:18,244] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 418 2022-11-23T01:37:55.5343786Z [2022-11-23 01:36:18,247] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.5344058Z [2022-11-23 01:36:18,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.5344338Z [2022-11-23 01:36:18,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.5344598Z [2022-11-23 01:36:18,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.5344889Z [2022-11-23 01:36:18,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.5345217Z [2022-11-23 01:36:18,247] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.5345537Z [2022-11-23 01:36:18,248] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.5345671Z 943 0 LOAD_FAST 0 (x) 2022-11-23T01:37:55.5345763Z 2 LOAD_CONST 1 (1) 2022-11-23T01:37:55.5345837Z 4 BINARY_ADD 2022-11-23T01:37:55.5345931Z 6 LOAD_METHOD 0 (view) 2022-11-23T01:37:55.5346025Z 8 LOAD_DEREF 0 (size2) 2022-11-23T01:37:55.5346113Z 10 CALL_METHOD 1 2022-11-23T01:37:55.5346202Z 12 LOAD_FAST 1 (y) 2022-11-23T01:37:55.5346262Z 14 BINARY_ADD 2022-11-23T01:37:55.5346353Z 16 BUILD_TUPLE 1 2022-11-23T01:37:55.5346429Z 18 RETURN_VALUE 2022-11-23T01:37:55.5346491Z 2022-11-23T01:37:55.5346496Z 2022-11-23T01:37:55.5346767Z [2022-11-23 01:36:18,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:943 2022-11-23T01:37:55.5346983Z [2022-11-23 01:36:18,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.5347227Z [2022-11-23 01:36:18,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:37:55.5347516Z [2022-11-23 01:36:18,248] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.5347744Z [2022-11-23 01:36:18,249] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:37:55.5348026Z [2022-11-23 01:36:18,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:37:55.5348452Z [2022-11-23 01:36:18,250] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:37:55.5348694Z [2022-11-23 01:36:18,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:37:55.5348973Z [2022-11-23 01:36:18,251] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.5349219Z [2022-11-23 01:36:18,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.5349469Z [2022-11-23 01:36:18,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5349803Z [2022-11-23 01:36:18,252] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.5350054Z [2022-11-23 01:36:18,252] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5350280Z [2022-11-23 01:36:18,252] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.5350536Z [2022-11-23 01:36:18,253] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.5350790Z [2022-11-23 01:36:18,257] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.5350982Z [2022-11-23 01:36:18,257] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.5351118Z __compiled_fn_427 .3381 opcode, name, target, args, kwargs 2022-11-23T01:37:55.5351245Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.5351338Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.5351516Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:55.5351609Z call_method, view, view, (add, [2, 3, 4, 5, 6, 7]), {} 2022-11-23T01:37:55.5351793Z call_function, add_1, , (view, ex_1_), {} 2022-11-23T01:37:55.5351888Z output, output, output, ((add_1,),), {} 2022-11-23T01:37:55.5351894Z 2022-11-23T01:37:55.5352173Z [2022-11-23 01:36:18,258] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5352264Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5352388Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5352479Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.5352568Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.5352630Z 8 RETURN_VALUE 2022-11-23T01:37:55.5352636Z 2022-11-23T01:37:55.5352696Z 2022-11-23T01:37:55.5352975Z [2022-11-23 01:36:18,258] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5353083Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_427) 2022-11-23T01:37:55.5353171Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5353260Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5353336Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.5353424Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5353498Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.5353572Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.5353663Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.5353765Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5353892Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:55.5353989Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:55.5354077Z 22 CALL_FUNCTION 0 2022-11-23T01:37:55.5354162Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:55.5354262Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5354352Z 28 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5354427Z 30 BINARY_SUBSCR 2022-11-23T01:37:55.5354513Z 32 BUILD_TUPLE 1 2022-11-23T01:37:55.5354604Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5354704Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5354781Z 38 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5354856Z 40 BINARY_SUBSCR 2022-11-23T01:37:55.5354957Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5355048Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5355143Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5355231Z 48 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5355305Z 50 BINARY_SUBSCR 2022-11-23T01:37:55.5355392Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5355464Z 54 RETURN_VALUE 2022-11-23T01:37:55.5355470Z 2022-11-23T01:37:55.5355528Z 2022-11-23T01:37:55.5355717Z [2022-11-23 01:36:18,260] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.5355789Z - 2022-11-23T01:37:55.5355911Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.5355977Z { 2022-11-23T01:37:55.5356108Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.5356300Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.5356421Z 'obj_weakref': None 2022-11-23T01:37:55.5356647Z 'guarded_class': 2022-11-23T01:37:55.5356712Z } 2022-11-23T01:37:55.5356775Z 2022-11-23T01:37:55.5356877Z - 2022-11-23T01:37:55.5356993Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.5357055Z { 2022-11-23T01:37:55.5357200Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5357309Z 'code': None, 2022-11-23T01:37:55.5357525Z 'obj_weakref': 2022-11-23T01:37:55.5357783Z 'guarded_class': 2022-11-23T01:37:55.5357848Z } 2022-11-23T01:37:55.5357910Z 2022-11-23T01:37:55.5358005Z - 2022-11-23T01:37:55.5358133Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.5358196Z { 2022-11-23T01:37:55.5358342Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5358451Z 'code': None, 2022-11-23T01:37:55.5358670Z 'obj_weakref': 2022-11-23T01:37:55.5358926Z 'guarded_class': 2022-11-23T01:37:55.5358977Z } 2022-11-23T01:37:55.5359037Z 2022-11-23T01:37:55.5359107Z - 2022-11-23T01:37:55.5359240Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.5359302Z { 2022-11-23T01:37:55.5359440Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.5359599Z 'code': ['___check_obj_id(model, 140538441420240)'], 2022-11-23T01:37:55.5359721Z 'obj_weakref': None 2022-11-23T01:37:55.5359957Z 'guarded_class': 2022-11-23T01:37:55.5360022Z } 2022-11-23T01:37:55.5360083Z 2022-11-23T01:37:55.5360153Z - 2022-11-23T01:37:55.5360276Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.5360327Z { 2022-11-23T01:37:55.5360467Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.5360691Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.5360815Z 'obj_weakref': None 2022-11-23T01:37:55.5361040Z 'guarded_class': 2022-11-23T01:37:55.5361105Z } 2022-11-23T01:37:55.5361167Z 2022-11-23T01:37:55.5361224Z - 2022-11-23T01:37:55.5361408Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:37:55.5361473Z { 2022-11-23T01:37:55.5361647Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:37:55.5362594Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93851402555296)', 'len(model.__closure__[0].cell_contents) == 6', '___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[2], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[3], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[4], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[5], 93851402553120)', 'model.__closure__[0].cell_contents == [2, 3, 4, 5, 6, 7]'], 2022-11-23T01:37:55.5362721Z 'obj_weakref': None 2022-11-23T01:37:55.5362948Z 'guarded_class': 2022-11-23T01:37:55.5363014Z } 2022-11-23T01:37:55.5363079Z 2022-11-23T01:37:55.5363154Z - 2022-11-23T01:37:55.5363329Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:37:55.5363394Z { 2022-11-23T01:37:55.5363542Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5363859Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents[0] == 2'], 2022-11-23T01:37:55.5363984Z 'obj_weakref': None 2022-11-23T01:37:55.5364210Z 'guarded_class': 2022-11-23T01:37:55.5364275Z } 2022-11-23T01:37:55.5364325Z 2022-11-23T01:37:55.5364398Z - 2022-11-23T01:37:55.5364655Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:37:55.5364751Z { 2022-11-23T01:37:55.5364925Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5365212Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents[1] == 3'], 2022-11-23T01:37:55.5365390Z 'obj_weakref': None 2022-11-23T01:37:55.5365599Z 'guarded_class': 2022-11-23T01:37:55.5365665Z } 2022-11-23T01:37:55.5365728Z 2022-11-23T01:37:55.5365804Z - 2022-11-23T01:37:55.5365995Z local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH 2022-11-23T01:37:55.5366059Z { 2022-11-23T01:37:55.5366206Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5366477Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 93851402553120)', 'model.__closure__[0].cell_contents[2] == 4'], 2022-11-23T01:37:55.5366601Z 'obj_weakref': None 2022-11-23T01:37:55.5366823Z 'guarded_class': 2022-11-23T01:37:55.5366892Z } 2022-11-23T01:37:55.5366955Z 2022-11-23T01:37:55.5367028Z - 2022-11-23T01:37:55.5367220Z local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH 2022-11-23T01:37:55.5367270Z { 2022-11-23T01:37:55.5367416Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5367704Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 93851402553120)', 'model.__closure__[0].cell_contents[3] == 5'], 2022-11-23T01:37:55.5367828Z 'obj_weakref': None 2022-11-23T01:37:55.5368050Z 'guarded_class': 2022-11-23T01:37:55.5368115Z } 2022-11-23T01:37:55.5368174Z 2022-11-23T01:37:55.5368245Z - 2022-11-23T01:37:55.5368419Z local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH 2022-11-23T01:37:55.5368486Z { 2022-11-23T01:37:55.5368632Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5368921Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 93851402553120)', 'model.__closure__[0].cell_contents[4] == 6'], 2022-11-23T01:37:55.5369044Z 'obj_weakref': None 2022-11-23T01:37:55.5369269Z 'guarded_class': 2022-11-23T01:37:55.5369337Z } 2022-11-23T01:37:55.5369387Z 2022-11-23T01:37:55.5369456Z - 2022-11-23T01:37:55.5369643Z local 'model.__closure__[0].cell_contents[5]' CONSTANT_MATCH 2022-11-23T01:37:55.5369707Z { 2022-11-23T01:37:55.5369849Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5370129Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[5], 93851402553120)', 'model.__closure__[0].cell_contents[5] == 7'], 2022-11-23T01:37:55.5370254Z 'obj_weakref': None 2022-11-23T01:37:55.5370462Z 'guarded_class': 2022-11-23T01:37:55.5370528Z } 2022-11-23T01:37:55.5370589Z 2022-11-23T01:37:55.5370855Z [2022-11-23 01:36:18,266] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 419 2022-11-23T01:37:55.5371265Z [2022-11-23 01:36:18,281] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sa/csamghb36uygyjxr423tfknd4cnojcmuyckrnygkxvs3q56rr3wc.py 2022-11-23T01:37:55.5371535Z [2022-11-23 01:36:18,282] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 419 2022-11-23T01:37:55.5371774Z [2022-11-23 01:36:18,285] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.5372046Z [2022-11-23 01:36:18,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.5372267Z [2022-11-23 01:36:18,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.5372542Z [2022-11-23 01:36:18,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.5372830Z [2022-11-23 01:36:18,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.5373159Z [2022-11-23 01:36:18,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.5373494Z [2022-11-23 01:36:18,286] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.5373587Z 940 0 LOAD_FAST 0 (x) 2022-11-23T01:37:55.5373680Z 2 LOAD_METHOD 0 (view) 2022-11-23T01:37:55.5373773Z 4 LOAD_DEREF 0 (size2) 2022-11-23T01:37:55.5373859Z 6 CALL_METHOD 1 2022-11-23T01:37:55.5373935Z 8 LOAD_FAST 1 (y) 2022-11-23T01:37:55.5374012Z 10 BINARY_ADD 2022-11-23T01:37:55.5374098Z 12 BUILD_TUPLE 1 2022-11-23T01:37:55.5374172Z 14 RETURN_VALUE 2022-11-23T01:37:55.5374231Z 2022-11-23T01:37:55.5374237Z 2022-11-23T01:37:55.5374508Z [2022-11-23 01:36:18,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:940 2022-11-23T01:37:55.5374722Z [2022-11-23 01:36:18,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.5374970Z [2022-11-23 01:36:18,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:37:55.5375242Z [2022-11-23 01:36:18,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:37:55.5375553Z [2022-11-23 01:36:18,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:37:55.5375794Z [2022-11-23 01:36:18,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:37:55.5376070Z [2022-11-23 01:36:18,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.5376316Z [2022-11-23 01:36:18,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.5376564Z [2022-11-23 01:36:18,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5376898Z [2022-11-23 01:36:18,288] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.5377143Z [2022-11-23 01:36:18,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5377377Z [2022-11-23 01:36:18,288] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.5377636Z [2022-11-23 01:36:18,292] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.5377877Z [2022-11-23 01:36:18,295] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.5378069Z [2022-11-23 01:36:18,295] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.5378232Z __compiled_fn_428 .3387 opcode, name, target, args, kwargs 2022-11-23T01:37:55.5378323Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.5378408Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.5378508Z call_method, view, view, (ex_0_, [10, 5, 20]), {} 2022-11-23T01:37:55.5378689Z call_function, add, , (view, ex_1_), {} 2022-11-23T01:37:55.5378991Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.5379001Z 2022-11-23T01:37:55.5379325Z [2022-11-23 01:36:18,295] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5379485Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5379575Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5379669Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.5379758Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.5379834Z 8 RETURN_VALUE 2022-11-23T01:37:55.5379840Z 2022-11-23T01:37:55.5379902Z 2022-11-23T01:37:55.5380182Z [2022-11-23 01:36:18,296] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5380279Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_428) 2022-11-23T01:37:55.5380367Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5380457Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5380536Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.5380624Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5380710Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.5380791Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.5380865Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.5380968Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5381096Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:55.5381194Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:55.5381284Z 22 CALL_FUNCTION 0 2022-11-23T01:37:55.5381380Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:55.5381479Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5381555Z 28 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5381630Z 30 BINARY_SUBSCR 2022-11-23T01:37:55.5381716Z 32 BUILD_TUPLE 1 2022-11-23T01:37:55.5381807Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5381906Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5381996Z 38 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5382071Z 40 BINARY_SUBSCR 2022-11-23T01:37:55.5382160Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5382249Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5382349Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5382435Z 48 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5382508Z 50 BINARY_SUBSCR 2022-11-23T01:37:55.5382608Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5382682Z 54 RETURN_VALUE 2022-11-23T01:37:55.5382687Z 2022-11-23T01:37:55.5382745Z 2022-11-23T01:37:55.5382919Z [2022-11-23 01:36:18,297] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.5382990Z - 2022-11-23T01:37:55.5383113Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.5383177Z { 2022-11-23T01:37:55.5383320Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.5383512Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.5383634Z 'obj_weakref': None 2022-11-23T01:37:55.5383848Z 'guarded_class': 2022-11-23T01:37:55.5383913Z } 2022-11-23T01:37:55.5384017Z 2022-11-23T01:37:55.5384090Z - 2022-11-23T01:37:55.5384219Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.5384283Z { 2022-11-23T01:37:55.5384427Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5384522Z 'code': None, 2022-11-23T01:37:55.5384738Z 'obj_weakref': 2022-11-23T01:37:55.5384996Z 'guarded_class': 2022-11-23T01:37:55.5385059Z } 2022-11-23T01:37:55.5385154Z 2022-11-23T01:37:55.5385226Z - 2022-11-23T01:37:55.5385351Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.5385403Z { 2022-11-23T01:37:55.5385547Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5385655Z 'code': None, 2022-11-23T01:37:55.5385872Z 'obj_weakref': 2022-11-23T01:37:55.5386129Z 'guarded_class': 2022-11-23T01:37:55.5386192Z } 2022-11-23T01:37:55.5386254Z 2022-11-23T01:37:55.5386312Z - 2022-11-23T01:37:55.5386445Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.5386508Z { 2022-11-23T01:37:55.5386643Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.5386814Z 'code': ['___check_obj_id(model, 140538426411632)'], 2022-11-23T01:37:55.5386937Z 'obj_weakref': None 2022-11-23T01:37:55.5387171Z 'guarded_class': 2022-11-23T01:37:55.5387221Z } 2022-11-23T01:37:55.5387282Z 2022-11-23T01:37:55.5387352Z - 2022-11-23T01:37:55.5387475Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.5387537Z { 2022-11-23T01:37:55.5387677Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.5387895Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.5388002Z 'obj_weakref': None 2022-11-23T01:37:55.5388300Z 'guarded_class': 2022-11-23T01:37:55.5388365Z } 2022-11-23T01:37:55.5388428Z 2022-11-23T01:37:55.5388501Z - 2022-11-23T01:37:55.5388682Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:37:55.5388746Z { 2022-11-23T01:37:55.5388908Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:37:55.5389551Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93851402555296)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[2], 93851402553120)', 'model.__closure__[0].cell_contents == [10, 5, 20]'], 2022-11-23T01:37:55.5389675Z 'obj_weakref': None 2022-11-23T01:37:55.5389898Z 'guarded_class': 2022-11-23T01:37:55.5389962Z } 2022-11-23T01:37:55.5390024Z 2022-11-23T01:37:55.5390095Z - 2022-11-23T01:37:55.5390283Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:37:55.5390333Z { 2022-11-23T01:37:55.5390480Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5390765Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents[0] == 10'], 2022-11-23T01:37:55.5390886Z 'obj_weakref': None 2022-11-23T01:37:55.5391147Z 'guarded_class': 2022-11-23T01:37:55.5391213Z } 2022-11-23T01:37:55.5391275Z 2022-11-23T01:37:55.5391333Z - 2022-11-23T01:37:55.5391519Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:37:55.5391583Z { 2022-11-23T01:37:55.5391728Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5392014Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents[1] == 5'], 2022-11-23T01:37:55.5392135Z 'obj_weakref': None 2022-11-23T01:37:55.5392392Z 'guarded_class': 2022-11-23T01:37:55.5392455Z } 2022-11-23T01:37:55.5392505Z 2022-11-23T01:37:55.5392576Z - 2022-11-23T01:37:55.5392766Z local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH 2022-11-23T01:37:55.5392831Z { 2022-11-23T01:37:55.5392978Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5393264Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 93851402553120)', 'model.__closure__[0].cell_contents[2] == 20'], 2022-11-23T01:37:55.5393385Z 'obj_weakref': None 2022-11-23T01:37:55.5393593Z 'guarded_class': 2022-11-23T01:37:55.5393658Z } 2022-11-23T01:37:55.5393719Z 2022-11-23T01:37:55.5393981Z [2022-11-23 01:36:18,302] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 420 2022-11-23T01:37:55.5394352Z [2022-11-23 01:36:19,812] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7w/c7wiqvai4rop23u45546wtnkwxxdgxg3wibitaiguu2zskfviev5.py 2022-11-23T01:37:55.5394622Z [2022-11-23 01:36:19,813] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 420 2022-11-23T01:37:55.5394864Z [2022-11-23 01:36:19,819] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.5395138Z [2022-11-23 01:36:19,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.5395345Z [2022-11-23 01:36:19,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.5395602Z [2022-11-23 01:36:19,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.5395890Z [2022-11-23 01:36:19,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.5396222Z [2022-11-23 01:36:19,820] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.5396557Z [2022-11-23 01:36:19,820] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.5396650Z 943 0 LOAD_FAST 0 (x) 2022-11-23T01:37:55.5396741Z 2 LOAD_CONST 1 (1) 2022-11-23T01:37:55.5396818Z 4 BINARY_ADD 2022-11-23T01:37:55.5396910Z 6 LOAD_METHOD 0 (view) 2022-11-23T01:37:55.5396989Z 8 LOAD_DEREF 0 (size2) 2022-11-23T01:37:55.5397078Z 10 CALL_METHOD 1 2022-11-23T01:37:55.5397166Z 12 LOAD_FAST 1 (y) 2022-11-23T01:37:55.5397240Z 14 BINARY_ADD 2022-11-23T01:37:55.5397326Z 16 BUILD_TUPLE 1 2022-11-23T01:37:55.5397404Z 18 RETURN_VALUE 2022-11-23T01:37:55.5397463Z 2022-11-23T01:37:55.5397469Z 2022-11-23T01:37:55.5397727Z [2022-11-23 01:36:19,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:943 2022-11-23T01:37:55.5398002Z [2022-11-23 01:36:19,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.5398250Z [2022-11-23 01:36:19,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:37:55.5398537Z [2022-11-23 01:36:19,821] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.5398780Z [2022-11-23 01:36:19,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:37:55.5399063Z [2022-11-23 01:36:19,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:37:55.5399369Z [2022-11-23 01:36:19,822] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:37:55.5399647Z [2022-11-23 01:36:19,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:37:55.5399923Z [2022-11-23 01:36:19,823] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.5400165Z [2022-11-23 01:36:19,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.5400402Z [2022-11-23 01:36:19,824] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5400738Z [2022-11-23 01:36:19,825] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.5400986Z [2022-11-23 01:36:19,825] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5401228Z [2022-11-23 01:36:19,825] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.5401488Z [2022-11-23 01:36:19,826] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.5401742Z [2022-11-23 01:36:19,831] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.5401937Z [2022-11-23 01:36:19,831] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.5402072Z __compiled_fn_429 .3393 opcode, name, target, args, kwargs 2022-11-23T01:37:55.5402163Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.5402237Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.5402414Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:55.5402520Z call_method, view, view, (add, [10, 5, 20]), {} 2022-11-23T01:37:55.5402705Z call_function, add_1, , (view, ex_1_), {} 2022-11-23T01:37:55.5402804Z output, output, output, ((add_1,),), {} 2022-11-23T01:37:55.5402809Z 2022-11-23T01:37:55.5403091Z [2022-11-23 01:36:19,832] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5403184Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5403265Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5403359Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.5403448Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.5403524Z 8 RETURN_VALUE 2022-11-23T01:37:55.5403529Z 2022-11-23T01:37:55.5403590Z 2022-11-23T01:37:55.5403866Z [2022-11-23 01:36:19,832] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5403974Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_429) 2022-11-23T01:37:55.5404064Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5404141Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5404220Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.5404308Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5404395Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.5404469Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.5404556Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.5404690Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5404808Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:55.5404904Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:55.5404991Z 22 CALL_FUNCTION 0 2022-11-23T01:37:55.5405087Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:55.5405188Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5405279Z 28 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5405357Z 30 BINARY_SUBSCR 2022-11-23T01:37:55.5405464Z 32 BUILD_TUPLE 1 2022-11-23T01:37:55.5405559Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5405658Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5405748Z 38 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5405829Z 40 BINARY_SUBSCR 2022-11-23T01:37:55.5405933Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5406027Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5406124Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5406199Z 48 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5406276Z 50 BINARY_SUBSCR 2022-11-23T01:37:55.5406379Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5406456Z 54 RETURN_VALUE 2022-11-23T01:37:55.5406461Z 2022-11-23T01:37:55.5406524Z 2022-11-23T01:37:55.5406715Z [2022-11-23 01:36:19,833] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.5406793Z - 2022-11-23T01:37:55.5406902Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.5406969Z { 2022-11-23T01:37:55.5407115Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.5407310Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.5407434Z 'obj_weakref': None 2022-11-23T01:37:55.5407661Z 'guarded_class': 2022-11-23T01:37:55.5407727Z } 2022-11-23T01:37:55.5407778Z 2022-11-23T01:37:55.5407851Z - 2022-11-23T01:37:55.5407979Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.5408043Z { 2022-11-23T01:37:55.5408189Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5408300Z 'code': None, 2022-11-23T01:37:55.5408519Z 'obj_weakref': 2022-11-23T01:37:55.5408767Z 'guarded_class': 2022-11-23T01:37:55.5408837Z } 2022-11-23T01:37:55.5408905Z 2022-11-23T01:37:55.5408978Z - 2022-11-23T01:37:55.5409104Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.5409171Z { 2022-11-23T01:37:55.5409319Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5409415Z 'code': None, 2022-11-23T01:37:55.5409630Z 'obj_weakref': 2022-11-23T01:37:55.5409887Z 'guarded_class': 2022-11-23T01:37:55.5409954Z } 2022-11-23T01:37:55.5410018Z 2022-11-23T01:37:55.5410090Z - 2022-11-23T01:37:55.5410227Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.5410280Z { 2022-11-23T01:37:55.5410417Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.5410591Z 'code': ['___check_obj_id(model, 140538441420240)'], 2022-11-23T01:37:55.5410716Z 'obj_weakref': None 2022-11-23T01:37:55.5410982Z 'guarded_class': 2022-11-23T01:37:55.5411052Z } 2022-11-23T01:37:55.5411116Z 2022-11-23T01:37:55.5411174Z - 2022-11-23T01:37:55.5411300Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.5411365Z { 2022-11-23T01:37:55.5411504Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.5411728Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.5411850Z 'obj_weakref': None 2022-11-23T01:37:55.5412074Z 'guarded_class': 2022-11-23T01:37:55.5412173Z } 2022-11-23T01:37:55.5412235Z 2022-11-23T01:37:55.5412305Z - 2022-11-23T01:37:55.5412488Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:37:55.5412551Z { 2022-11-23T01:37:55.5412725Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:37:55.5413373Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93851402555296)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[2], 93851402553120)', 'model.__closure__[0].cell_contents == [10, 5, 20]'], 2022-11-23T01:37:55.5413499Z 'obj_weakref': None 2022-11-23T01:37:55.5413707Z 'guarded_class': 2022-11-23T01:37:55.5413773Z } 2022-11-23T01:37:55.5413835Z 2022-11-23T01:37:55.5413904Z - 2022-11-23T01:37:55.5414089Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:37:55.5414151Z { 2022-11-23T01:37:55.5414296Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5414572Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents[0] == 10'], 2022-11-23T01:37:55.5414695Z 'obj_weakref': None 2022-11-23T01:37:55.5414918Z 'guarded_class': 2022-11-23T01:37:55.5414981Z } 2022-11-23T01:37:55.5415043Z 2022-11-23T01:37:55.5415112Z - 2022-11-23T01:37:55.5415299Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:37:55.5415350Z { 2022-11-23T01:37:55.5415493Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5415783Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents[1] == 5'], 2022-11-23T01:37:55.5415903Z 'obj_weakref': None 2022-11-23T01:37:55.5416127Z 'guarded_class': 2022-11-23T01:37:55.5416194Z } 2022-11-23T01:37:55.5416256Z 2022-11-23T01:37:55.5416327Z - 2022-11-23T01:37:55.5416503Z local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH 2022-11-23T01:37:55.5416567Z { 2022-11-23T01:37:55.5416713Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5416997Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 93851402553120)', 'model.__closure__[0].cell_contents[2] == 20'], 2022-11-23T01:37:55.5417119Z 'obj_weakref': None 2022-11-23T01:37:55.5417341Z 'guarded_class': 2022-11-23T01:37:55.5417407Z } 2022-11-23T01:37:55.5417457Z 2022-11-23T01:37:55.5417719Z [2022-11-23 01:36:19,841] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 421 2022-11-23T01:37:55.5418116Z [2022-11-23 01:36:21,213] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/44/c44qpyp4ryqigcy4af34itj2t76xtotglmb6s7y33wqiuxhgygw3.py 2022-11-23T01:37:55.5418387Z [2022-11-23 01:36:21,214] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 421 2022-11-23T01:37:55.5418627Z [2022-11-23 01:36:21,220] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.5419121Z [2022-11-23 01:36:21,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.5419382Z [2022-11-23 01:36:21,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.5419703Z [2022-11-23 01:36:21,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.5419993Z [2022-11-23 01:36:21,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.5420307Z [2022-11-23 01:36:21,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.5420641Z [2022-11-23 01:36:21,221] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.5420735Z 940 0 LOAD_FAST 0 (x) 2022-11-23T01:37:55.5420830Z 2 LOAD_METHOD 0 (view) 2022-11-23T01:37:55.5420923Z 4 LOAD_DEREF 0 (size2) 2022-11-23T01:37:55.5421009Z 6 CALL_METHOD 1 2022-11-23T01:37:55.5421098Z 8 LOAD_FAST 1 (y) 2022-11-23T01:37:55.5421175Z 10 BINARY_ADD 2022-11-23T01:37:55.5421250Z 12 BUILD_TUPLE 1 2022-11-23T01:37:55.5421325Z 14 RETURN_VALUE 2022-11-23T01:37:55.5421384Z 2022-11-23T01:37:55.5421389Z 2022-11-23T01:37:55.5421660Z [2022-11-23 01:36:21,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:940 2022-11-23T01:37:55.5421872Z [2022-11-23 01:36:21,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.5422116Z [2022-11-23 01:36:21,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:37:55.5422401Z [2022-11-23 01:36:21,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:37:55.5422707Z [2022-11-23 01:36:21,222] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:37:55.5422945Z [2022-11-23 01:36:21,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:37:55.5423209Z [2022-11-23 01:36:21,223] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.5423450Z [2022-11-23 01:36:21,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.5423701Z [2022-11-23 01:36:21,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5424033Z [2022-11-23 01:36:21,224] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.5424284Z [2022-11-23 01:36:21,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5424521Z [2022-11-23 01:36:21,224] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.5424777Z [2022-11-23 01:36:21,226] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.5425034Z [2022-11-23 01:36:21,230] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.5425226Z [2022-11-23 01:36:21,230] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.5425386Z __compiled_fn_430 .3399 opcode, name, target, args, kwargs 2022-11-23T01:37:55.5425479Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.5425566Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.5425661Z call_method, view, view, (ex_0_, [10]), {} 2022-11-23T01:37:55.5425845Z call_function, add, , (view, ex_1_), {} 2022-11-23T01:37:55.5425940Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.5425947Z 2022-11-23T01:37:55.5426226Z [2022-11-23 01:36:21,230] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5426319Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5426432Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5426525Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.5426613Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.5426688Z 8 RETURN_VALUE 2022-11-23T01:37:55.5426694Z 2022-11-23T01:37:55.5426754Z 2022-11-23T01:37:55.5427027Z [2022-11-23 01:36:21,231] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5427136Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_430) 2022-11-23T01:37:55.5427213Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5427301Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5427377Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.5427464Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5427549Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.5427625Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.5427713Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.5427815Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5427931Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:55.5428028Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:55.5428184Z 22 CALL_FUNCTION 0 2022-11-23T01:37:55.5428290Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:55.5428392Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5428480Z 28 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5428555Z 30 BINARY_SUBSCR 2022-11-23T01:37:55.5428630Z 32 BUILD_TUPLE 1 2022-11-23T01:37:55.5428722Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5428822Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5428912Z 38 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5428986Z 40 BINARY_SUBSCR 2022-11-23T01:37:55.5429087Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5429177Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5429260Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5429347Z 48 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5429422Z 50 BINARY_SUBSCR 2022-11-23T01:37:55.5429522Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5429597Z 54 RETURN_VALUE 2022-11-23T01:37:55.5429602Z 2022-11-23T01:37:55.5429661Z 2022-11-23T01:37:55.5429847Z [2022-11-23 01:36:21,232] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.5429906Z - 2022-11-23T01:37:55.5430027Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.5430091Z { 2022-11-23T01:37:55.5430234Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.5430429Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.5430550Z 'obj_weakref': None 2022-11-23T01:37:55.5430777Z 'guarded_class': 2022-11-23T01:37:55.5430841Z } 2022-11-23T01:37:55.5430923Z 2022-11-23T01:37:55.5430996Z - 2022-11-23T01:37:55.5431126Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.5431189Z { 2022-11-23T01:37:55.5431333Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5431442Z 'code': None, 2022-11-23T01:37:55.5431646Z 'obj_weakref': 2022-11-23T01:37:55.5431904Z 'guarded_class': 2022-11-23T01:37:55.5431968Z } 2022-11-23T01:37:55.5432030Z 2022-11-23T01:37:55.5432135Z - 2022-11-23T01:37:55.5432261Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.5432324Z { 2022-11-23T01:37:55.5432456Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5432565Z 'code': None, 2022-11-23T01:37:55.5432780Z 'obj_weakref': 2022-11-23T01:37:55.5433035Z 'guarded_class': 2022-11-23T01:37:55.5433099Z } 2022-11-23T01:37:55.5433161Z 2022-11-23T01:37:55.5433231Z - 2022-11-23T01:37:55.5433351Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.5433416Z { 2022-11-23T01:37:55.5433550Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.5433721Z 'code': ['___check_obj_id(model, 140538426411632)'], 2022-11-23T01:37:55.5433843Z 'obj_weakref': None 2022-11-23T01:37:55.5434078Z 'guarded_class': 2022-11-23T01:37:55.5434143Z } 2022-11-23T01:37:55.5434193Z 2022-11-23T01:37:55.5434263Z - 2022-11-23T01:37:55.5434386Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.5434451Z { 2022-11-23T01:37:55.5434590Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.5434809Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.5434930Z 'obj_weakref': None 2022-11-23T01:37:55.5435152Z 'guarded_class': 2022-11-23T01:37:55.5435202Z } 2022-11-23T01:37:55.5435264Z 2022-11-23T01:37:55.5435334Z - 2022-11-23T01:37:55.5435513Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:37:55.5435579Z { 2022-11-23T01:37:55.5435753Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:37:55.5436204Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93851402555296)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents == [10]'], 2022-11-23T01:37:55.5436315Z 'obj_weakref': None 2022-11-23T01:37:55.5436537Z 'guarded_class': 2022-11-23T01:37:55.5436601Z } 2022-11-23T01:37:55.5436664Z 2022-11-23T01:37:55.5436735Z - 2022-11-23T01:37:55.5436921Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:37:55.5436983Z { 2022-11-23T01:37:55.5437114Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5437399Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents[0] == 10'], 2022-11-23T01:37:55.5437523Z 'obj_weakref': None 2022-11-23T01:37:55.5437745Z 'guarded_class': 2022-11-23T01:37:55.5437808Z } 2022-11-23T01:37:55.5437870Z 2022-11-23T01:37:55.5438171Z [2022-11-23 01:36:21,238] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 422 2022-11-23T01:37:55.5438549Z [2022-11-23 01:36:22,621] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ig/ciguquv3rqeromt5aq65lfsclapklqvup6eya44l4bfwyfztckup.py 2022-11-23T01:37:55.5438803Z [2022-11-23 01:36:22,621] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 422 2022-11-23T01:37:55.5439044Z [2022-11-23 01:36:22,628] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.5439313Z [2022-11-23 01:36:22,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.5439568Z [2022-11-23 01:36:22,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.5439822Z [2022-11-23 01:36:22,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.5440111Z [2022-11-23 01:36:22,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.5440435Z [2022-11-23 01:36:22,628] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.5440768Z [2022-11-23 01:36:22,628] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.5440861Z 943 0 LOAD_FAST 0 (x) 2022-11-23T01:37:55.5440939Z 2 LOAD_CONST 1 (1) 2022-11-23T01:37:55.5441015Z 4 BINARY_ADD 2022-11-23T01:37:55.5441107Z 6 LOAD_METHOD 0 (view) 2022-11-23T01:37:55.5441199Z 8 LOAD_DEREF 0 (size2) 2022-11-23T01:37:55.5441286Z 10 CALL_METHOD 1 2022-11-23T01:37:55.5441376Z 12 LOAD_FAST 1 (y) 2022-11-23T01:37:55.5441451Z 14 BINARY_ADD 2022-11-23T01:37:55.5441537Z 16 BUILD_TUPLE 1 2022-11-23T01:37:55.5441601Z 18 RETURN_VALUE 2022-11-23T01:37:55.5441660Z 2022-11-23T01:37:55.5441666Z 2022-11-23T01:37:55.5441935Z [2022-11-23 01:36:22,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:943 2022-11-23T01:37:55.5442147Z [2022-11-23 01:36:22,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.5442390Z [2022-11-23 01:36:22,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:37:55.5442673Z [2022-11-23 01:36:22,629] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.5442921Z [2022-11-23 01:36:22,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:37:55.5443206Z [2022-11-23 01:36:22,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:37:55.5443497Z [2022-11-23 01:36:22,631] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:37:55.5443736Z [2022-11-23 01:36:22,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:37:55.5444008Z [2022-11-23 01:36:22,632] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.5444249Z [2022-11-23 01:36:22,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.5444503Z [2022-11-23 01:36:22,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5444838Z [2022-11-23 01:36:22,633] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.5445153Z [2022-11-23 01:36:22,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5445394Z [2022-11-23 01:36:22,633] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.5445651Z [2022-11-23 01:36:22,635] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.5445904Z [2022-11-23 01:36:22,639] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.5446083Z [2022-11-23 01:36:22,639] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.5446218Z __compiled_fn_431 .3405 opcode, name, target, args, kwargs 2022-11-23T01:37:55.5446340Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.5446428Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.5446604Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:55.5446699Z call_method, view, view, (add, [10]), {} 2022-11-23T01:37:55.5446887Z call_function, add_1, , (view, ex_1_), {} 2022-11-23T01:37:55.5446970Z output, output, output, ((add_1,),), {} 2022-11-23T01:37:55.5446987Z 2022-11-23T01:37:55.5447255Z [2022-11-23 01:36:22,640] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5447349Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5447440Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5447534Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.5447624Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.5447699Z 8 RETURN_VALUE 2022-11-23T01:37:55.5447706Z 2022-11-23T01:37:55.5447767Z 2022-11-23T01:37:55.5448027Z [2022-11-23 01:36:22,640] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5448137Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_431) 2022-11-23T01:37:55.5448228Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5448317Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5448393Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.5448485Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5448573Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.5448649Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.5448724Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.5448830Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5448959Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:55.5449060Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:55.5449147Z 22 CALL_FUNCTION 0 2022-11-23T01:37:55.5449245Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:55.5449346Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5449424Z 28 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5449502Z 30 BINARY_SUBSCR 2022-11-23T01:37:55.5449591Z 32 BUILD_TUPLE 1 2022-11-23T01:37:55.5449685Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5449789Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5449877Z 38 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5449955Z 40 BINARY_SUBSCR 2022-11-23T01:37:55.5450045Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5450134Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5450236Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5450326Z 48 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5450406Z 50 BINARY_SUBSCR 2022-11-23T01:37:55.5450508Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5450583Z 54 RETURN_VALUE 2022-11-23T01:37:55.5450589Z 2022-11-23T01:37:55.5450667Z 2022-11-23T01:37:55.5450856Z [2022-11-23 01:36:22,641] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.5450929Z - 2022-11-23T01:37:55.5451053Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.5451121Z { 2022-11-23T01:37:55.5451268Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.5451459Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.5451569Z 'obj_weakref': None 2022-11-23T01:37:55.5451796Z 'guarded_class': 2022-11-23T01:37:55.5451895Z } 2022-11-23T01:37:55.5451958Z 2022-11-23T01:37:55.5452031Z - 2022-11-23T01:37:55.5452161Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.5452226Z { 2022-11-23T01:37:55.5452360Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5452472Z 'code': None, 2022-11-23T01:37:55.5452689Z 'obj_weakref': 2022-11-23T01:37:55.5452945Z 'guarded_class': 2022-11-23T01:37:55.5453012Z } 2022-11-23T01:37:55.5453077Z 2022-11-23T01:37:55.5453151Z - 2022-11-23T01:37:55.5453263Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.5453326Z { 2022-11-23T01:37:55.5453472Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5453584Z 'code': None, 2022-11-23T01:37:55.5453802Z 'obj_weakref': 2022-11-23T01:37:55.5454062Z 'guarded_class': 2022-11-23T01:37:55.5454129Z } 2022-11-23T01:37:55.5454193Z 2022-11-23T01:37:55.5454250Z - 2022-11-23T01:37:55.5454385Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.5454450Z { 2022-11-23T01:37:55.5454588Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.5454762Z 'code': ['___check_obj_id(model, 140538441420240)'], 2022-11-23T01:37:55.5454886Z 'obj_weakref': None 2022-11-23T01:37:55.5455119Z 'guarded_class': 2022-11-23T01:37:55.5455169Z } 2022-11-23T01:37:55.5455232Z 2022-11-23T01:37:55.5455302Z - 2022-11-23T01:37:55.5455426Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.5455492Z { 2022-11-23T01:37:55.5455629Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.5455833Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.5455953Z 'obj_weakref': None 2022-11-23T01:37:55.5456176Z 'guarded_class': 2022-11-23T01:37:55.5456239Z } 2022-11-23T01:37:55.5456300Z 2022-11-23T01:37:55.5456369Z - 2022-11-23T01:37:55.5456550Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:37:55.5456600Z { 2022-11-23T01:37:55.5456775Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:37:55.5457220Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93851402555296)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents == [10]'], 2022-11-23T01:37:55.5457344Z 'obj_weakref': None 2022-11-23T01:37:55.5457566Z 'guarded_class': 2022-11-23T01:37:55.5457629Z } 2022-11-23T01:37:55.5457689Z 2022-11-23T01:37:55.5457759Z - 2022-11-23T01:37:55.5457966Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:37:55.5458032Z { 2022-11-23T01:37:55.5458178Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5458467Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents[0] == 10'], 2022-11-23T01:37:55.5458587Z 'obj_weakref': None 2022-11-23T01:37:55.5458975Z 'guarded_class': 2022-11-23T01:37:55.5459080Z } 2022-11-23T01:37:55.5459246Z 2022-11-23T01:37:55.5459506Z [2022-11-23 01:36:22,649] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 423 2022-11-23T01:37:55.5459513Z 2022-11-23T01:37:55.5459518Z 2022-11-23T01:37:55.5459612Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.5459682Z import torch 2022-11-23T01:37:55.5459755Z import random 2022-11-23T01:37:55.5459874Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.5459996Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.5460001Z 2022-11-23T01:37:55.5460080Z aten = torch.ops.aten 2022-11-23T01:37:55.5460204Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.5460297Z async_compile = AsyncCompile() 2022-11-23T01:37:55.5460302Z 2022-11-23T01:37:55.5460306Z 2022-11-23T01:37:55.5460443Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.5460652Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.5460774Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.5460878Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.5460979Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.5461041Z { 2022-11-23T01:37:55.5461110Z for(long i0=0; i0<630; i0+=1) 2022-11-23T01:37:55.5461171Z { 2022-11-23T01:37:55.5461321Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.5461452Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.5461582Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:55.5461667Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5461748Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.5461836Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.5461886Z } 2022-11-23T01:37:55.5461974Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.5462055Z for(long i0=5040; i0<5040; i0+=1) 2022-11-23T01:37:55.5462117Z { 2022-11-23T01:37:55.5462197Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.5462277Z auto tmp3 = in_ptr1[i0]; 2022-11-23T01:37:55.5462373Z auto tmp1 = static_cast(1); 2022-11-23T01:37:55.5462441Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5462519Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.5462598Z out_ptr0[i0] = tmp4; 2022-11-23T01:37:55.5462658Z } 2022-11-23T01:37:55.5462719Z } 2022-11-23T01:37:55.5462800Z ''') 2022-11-23T01:37:55.5462805Z 2022-11-23T01:37:55.5462810Z 2022-11-23T01:37:55.5462898Z async_compile.wait(globals()) 2022-11-23T01:37:55.5462958Z del async_compile 2022-11-23T01:37:55.5462963Z 2022-11-23T01:37:55.5463033Z def call(args): 2022-11-23T01:37:55.5463107Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.5463178Z args.clear() 2022-11-23T01:37:55.5463420Z buf0 = empty_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5463586Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.5463656Z del arg0_1 2022-11-23T01:37:55.5463711Z del arg1_1 2022-11-23T01:37:55.5463781Z return (buf0, ) 2022-11-23T01:37:55.5463786Z 2022-11-23T01:37:55.5463790Z 2022-11-23T01:37:55.5463865Z if __name__ == "__main__": 2022-11-23T01:37:55.5464020Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.5464148Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.5464372Z arg0_1 = rand_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5464609Z arg1_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5464725Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.5464729Z 2022-11-23T01:37:55.5464734Z 2022-11-23T01:37:55.5464826Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.5464915Z import torch 2022-11-23T01:37:55.5464983Z import random 2022-11-23T01:37:55.5465095Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.5465216Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.5465221Z 2022-11-23T01:37:55.5465296Z aten = torch.ops.aten 2022-11-23T01:37:55.5465430Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.5465521Z async_compile = AsyncCompile() 2022-11-23T01:37:55.5465526Z 2022-11-23T01:37:55.5465530Z 2022-11-23T01:37:55.5465653Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.5465859Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.5465977Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.5466082Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.5466183Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.5466248Z { 2022-11-23T01:37:55.5466329Z for(long i0=0; i0<125; i0+=1) 2022-11-23T01:37:55.5466394Z { 2022-11-23T01:37:55.5466513Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.5466642Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.5466725Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5466813Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.5466873Z } 2022-11-23T01:37:55.5466958Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.5467038Z for(long i0=1000; i0<1000; i0+=1) 2022-11-23T01:37:55.5467088Z { 2022-11-23T01:37:55.5467168Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.5467252Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.5467332Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5467409Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.5467468Z } 2022-11-23T01:37:55.5467514Z } 2022-11-23T01:37:55.5467594Z ''') 2022-11-23T01:37:55.5467599Z 2022-11-23T01:37:55.5467604Z 2022-11-23T01:37:55.5467692Z async_compile.wait(globals()) 2022-11-23T01:37:55.5467762Z del async_compile 2022-11-23T01:37:55.5467767Z 2022-11-23T01:37:55.5467835Z def call(args): 2022-11-23T01:37:55.5467909Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.5467980Z args.clear() 2022-11-23T01:37:55.5468272Z buf0 = empty_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5468433Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.5468499Z del arg0_1 2022-11-23T01:37:55.5468566Z del arg1_1 2022-11-23T01:37:55.5468640Z return (buf0, ) 2022-11-23T01:37:55.5468645Z 2022-11-23T01:37:55.5468649Z 2022-11-23T01:37:55.5468724Z if __name__ == "__main__": 2022-11-23T01:37:55.5468835Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.5468957Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.5469165Z arg0_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5469367Z arg1_1 = rand_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5469482Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.5469488Z 2022-11-23T01:37:55.5469492Z 2022-11-23T01:37:55.5469584Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.5469654Z import torch 2022-11-23T01:37:55.5469765Z import random 2022-11-23T01:37:55.5469881Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.5470002Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.5470006Z 2022-11-23T01:37:55.5470082Z aten = torch.ops.aten 2022-11-23T01:37:55.5470203Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.5470294Z async_compile = AsyncCompile() 2022-11-23T01:37:55.5470299Z 2022-11-23T01:37:55.5470303Z 2022-11-23T01:37:55.5470439Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.5470644Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.5470797Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.5470900Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.5470999Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.5471058Z { 2022-11-23T01:37:55.5471127Z for(long i0=0; i0<125; i0+=1) 2022-11-23T01:37:55.5471190Z { 2022-11-23T01:37:55.5471323Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.5471452Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.5471582Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:55.5471666Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5471745Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.5471819Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.5471878Z } 2022-11-23T01:37:55.5471964Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.5472048Z for(long i0=1000; i0<1000; i0+=1) 2022-11-23T01:37:55.5472107Z { 2022-11-23T01:37:55.5472187Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.5472265Z auto tmp3 = in_ptr1[i0]; 2022-11-23T01:37:55.5472348Z auto tmp1 = static_cast(1); 2022-11-23T01:37:55.5472427Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5472509Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.5472585Z out_ptr0[i0] = tmp4; 2022-11-23T01:37:55.5472646Z } 2022-11-23T01:37:55.5472705Z } 2022-11-23T01:37:55.5472774Z ''') 2022-11-23T01:37:55.5472791Z 2022-11-23T01:37:55.5472795Z 2022-11-23T01:37:55.5472872Z async_compile.wait(globals()) 2022-11-23T01:37:55.5472944Z del async_compile 2022-11-23T01:37:55.5472948Z 2022-11-23T01:37:55.5473018Z def call(args): 2022-11-23T01:37:55.5473092Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.5473161Z args.clear() 2022-11-23T01:37:55.5473372Z buf0 = empty_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5473537Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.5473592Z del arg0_1 2022-11-23T01:37:55.5473657Z del arg1_1 2022-11-23T01:37:55.5473728Z return (buf0, ) 2022-11-23T01:37:55.5473733Z 2022-11-23T01:37:55.5473737Z 2022-11-23T01:37:55.5473810Z if __name__ == "__main__": 2022-11-23T01:37:55.5473925Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.5474044Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.5474246Z arg0_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5474458Z arg1_1 = rand_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5474561Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.5474566Z 2022-11-23T01:37:55.5474582Z 2022-11-23T01:37:55.5474664Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.5474737Z import torch 2022-11-23T01:37:55.5474811Z import random 2022-11-23T01:37:55.5474924Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.5475042Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.5475047Z 2022-11-23T01:37:55.5475124Z aten = torch.ops.aten 2022-11-23T01:37:55.5475255Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.5475365Z async_compile = AsyncCompile() 2022-11-23T01:37:55.5475370Z 2022-11-23T01:37:55.5475375Z 2022-11-23T01:37:55.5475513Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.5475718Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.5475838Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.5475941Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.5476041Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.5476102Z { 2022-11-23T01:37:55.5476179Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:37:55.5476258Z { 2022-11-23T01:37:55.5476391Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.5476519Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.5476601Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5476687Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.5476755Z } 2022-11-23T01:37:55.5476841Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.5476908Z for(long i0=8; i0<10; i0+=1) 2022-11-23T01:37:55.5476968Z { 2022-11-23T01:37:55.5477048Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.5477128Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.5477207Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5477283Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.5477330Z } 2022-11-23T01:37:55.5477387Z } 2022-11-23T01:37:55.5477468Z ''') 2022-11-23T01:37:55.5477473Z 2022-11-23T01:37:55.5477477Z 2022-11-23T01:37:55.5477564Z async_compile.wait(globals()) 2022-11-23T01:37:55.5477639Z del async_compile 2022-11-23T01:37:55.5477644Z 2022-11-23T01:37:55.5477712Z def call(args): 2022-11-23T01:37:55.5477787Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.5477859Z args.clear() 2022-11-23T01:37:55.5478039Z buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5478204Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.5478271Z del arg0_1 2022-11-23T01:37:55.5478338Z del arg1_1 2022-11-23T01:37:55.5478411Z return (buf0, ) 2022-11-23T01:37:55.5478416Z 2022-11-23T01:37:55.5478421Z 2022-11-23T01:37:55.5478495Z if __name__ == "__main__": 2022-11-23T01:37:55.5478607Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.5478717Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.5478923Z arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5479122Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5479236Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.5479241Z 2022-11-23T01:37:55.5479245Z 2022-11-23T01:37:55.5479337Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.5479405Z import torch 2022-11-23T01:37:55.5479473Z import random 2022-11-23T01:37:55.5479589Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.5479696Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.5479712Z 2022-11-23T01:37:55.5479776Z aten = torch.ops.aten 2022-11-23T01:37:55.5479906Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.5479995Z async_compile = AsyncCompile() 2022-11-23T01:37:55.5480001Z 2022-11-23T01:37:55.5480005Z 2022-11-23T01:37:55.5480141Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.5480344Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.5480468Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.5480573Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.5480659Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.5480722Z { 2022-11-23T01:37:55.5480803Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:37:55.5480864Z { 2022-11-23T01:37:55.5481032Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.5481168Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.5481300Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:55.5481384Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5481453Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.5481546Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.5481609Z } 2022-11-23T01:37:55.5481700Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.5481780Z for(long i0=8; i0<10; i0+=1) 2022-11-23T01:37:55.5481876Z { 2022-11-23T01:37:55.5481944Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.5482021Z auto tmp3 = in_ptr1[i0]; 2022-11-23T01:37:55.5482118Z auto tmp1 = static_cast(1); 2022-11-23T01:37:55.5482200Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5482281Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.5482362Z out_ptr0[i0] = tmp4; 2022-11-23T01:37:55.5482424Z } 2022-11-23T01:37:55.5482470Z } 2022-11-23T01:37:55.5482551Z ''') 2022-11-23T01:37:55.5482556Z 2022-11-23T01:37:55.5482561Z 2022-11-23T01:37:55.5482651Z async_compile.wait(globals()) 2022-11-23T01:37:55.5482724Z del async_compile 2022-11-23T01:37:55.5482729Z 2022-11-23T01:37:55.5482802Z def call(args): 2022-11-23T01:37:55.5482879Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.5482951Z args.clear() 2022-11-23T01:37:55.5483150Z buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5483299Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.5483371Z del arg0_1 2022-11-23T01:37:55.5483438Z del arg1_1 2022-11-23T01:37:55.5483510Z return (buf0, ) 2022-11-23T01:37:55.5483515Z 2022-11-23T01:37:55.5483519Z 2022-11-23T01:37:55.5483596Z if __name__ == "__main__": 2022-11-23T01:37:55.5483712Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.5483839Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.5484036Z arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5484232Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5484349Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.5484722Z [2022-11-23 01:36:24,031] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hg/chgkmfl74a4wel52rr6u4vfwg3bpbfycs63hhcnmvsblvew2oxyw.py 2022-11-23T01:37:55.5484994Z [2022-11-23 01:36:24,031] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 423 2022-11-23T01:37:55.5485243Z [2022-11-23 01:36:24,038] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.5485518Z [2022-11-23 01:36:24,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.5485743Z [2022-11-23 01:36:24,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.5486000Z [2022-11-23 01:36:24,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.5486277Z [2022-11-23 01:36:24,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.5486606Z [2022-11-23 01:36:24,038] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.5486938Z [2022-11-23 01:36:24,039] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.5487036Z 940 0 LOAD_FAST 0 (x) 2022-11-23T01:37:55.5487132Z 2 LOAD_METHOD 0 (view) 2022-11-23T01:37:55.5487228Z 4 LOAD_DEREF 0 (size2) 2022-11-23T01:37:55.5487350Z 6 CALL_METHOD 1 2022-11-23T01:37:55.5487442Z 8 LOAD_FAST 1 (y) 2022-11-23T01:37:55.5487503Z 10 BINARY_ADD 2022-11-23T01:37:55.5487591Z 12 BUILD_TUPLE 1 2022-11-23T01:37:55.5487668Z 14 RETURN_VALUE 2022-11-23T01:37:55.5487727Z 2022-11-23T01:37:55.5487732Z 2022-11-23T01:37:55.5488007Z [2022-11-23 01:36:24,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:940 2022-11-23T01:37:55.5488219Z [2022-11-23 01:36:24,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.5488496Z [2022-11-23 01:36:24,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:37:55.5488787Z [2022-11-23 01:36:24,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:37:55.5489095Z [2022-11-23 01:36:24,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:37:55.5489325Z [2022-11-23 01:36:24,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:37:55.5489598Z [2022-11-23 01:36:24,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.5489844Z [2022-11-23 01:36:24,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.5490091Z [2022-11-23 01:36:24,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5490429Z [2022-11-23 01:36:24,042] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.5490677Z [2022-11-23 01:36:24,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5490916Z [2022-11-23 01:36:24,042] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.5491173Z [2022-11-23 01:36:24,044] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.5491426Z [2022-11-23 01:36:24,047] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.5491606Z [2022-11-23 01:36:24,048] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.5491740Z __compiled_fn_432 .3411 opcode, name, target, args, kwargs 2022-11-23T01:37:55.5491829Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.5491921Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.5492021Z call_method, view, view, (ex_0_, [10, 100]), {} 2022-11-23T01:37:55.5492199Z call_function, add, , (view, ex_1_), {} 2022-11-23T01:37:55.5492293Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.5492299Z 2022-11-23T01:37:55.5492576Z [2022-11-23 01:36:24,048] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5492656Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5492744Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5492839Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.5492927Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.5493002Z 8 RETURN_VALUE 2022-11-23T01:37:55.5493008Z 2022-11-23T01:37:55.5493067Z 2022-11-23T01:37:55.5493340Z [2022-11-23 01:36:24,048] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5493451Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_432) 2022-11-23T01:37:55.5493528Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5493616Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5493691Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.5493810Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5493899Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.5493973Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.5494060Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.5494151Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5494280Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:55.5494375Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:55.5494463Z 22 CALL_FUNCTION 0 2022-11-23T01:37:55.5494556Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:55.5494686Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5494776Z 28 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5494838Z 30 BINARY_SUBSCR 2022-11-23T01:37:55.5494926Z 32 BUILD_TUPLE 1 2022-11-23T01:37:55.5495018Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5495116Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5495202Z 38 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5495276Z 40 BINARY_SUBSCR 2022-11-23T01:37:55.5495376Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5495453Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5495549Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5495635Z 48 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5495710Z 50 BINARY_SUBSCR 2022-11-23T01:37:55.5495812Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5495886Z 54 RETURN_VALUE 2022-11-23T01:37:55.5495891Z 2022-11-23T01:37:55.5495951Z 2022-11-23T01:37:55.5496139Z [2022-11-23 01:36:24,050] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.5496198Z - 2022-11-23T01:37:55.5496319Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.5496384Z { 2022-11-23T01:37:55.5496528Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.5496717Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.5496840Z 'obj_weakref': None 2022-11-23T01:37:55.5497067Z 'guarded_class': 2022-11-23T01:37:55.5497119Z } 2022-11-23T01:37:55.5497181Z 2022-11-23T01:37:55.5497250Z - 2022-11-23T01:37:55.5497375Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.5497441Z { 2022-11-23T01:37:55.5497586Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5497695Z 'code': None, 2022-11-23T01:37:55.5497899Z 'obj_weakref': 2022-11-23T01:37:55.5498157Z 'guarded_class': 2022-11-23T01:37:55.5498220Z } 2022-11-23T01:37:55.5498283Z 2022-11-23T01:37:55.5498353Z - 2022-11-23T01:37:55.5498477Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.5498539Z { 2022-11-23T01:37:55.5498670Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5498954Z 'code': None, 2022-11-23T01:37:55.5499261Z 'obj_weakref': 2022-11-23T01:37:55.5499520Z 'guarded_class': 2022-11-23T01:37:55.5499587Z } 2022-11-23T01:37:55.5499648Z 2022-11-23T01:37:55.5499718Z - 2022-11-23T01:37:55.5499837Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.5499899Z { 2022-11-23T01:37:55.5500037Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.5500284Z 'code': ['___check_obj_id(model, 140538426411632)'], 2022-11-23T01:37:55.5500409Z 'obj_weakref': None 2022-11-23T01:37:55.5500643Z 'guarded_class': 2022-11-23T01:37:55.5500708Z } 2022-11-23T01:37:55.5500758Z 2022-11-23T01:37:55.5500828Z - 2022-11-23T01:37:55.5500950Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.5501012Z { 2022-11-23T01:37:55.5501149Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.5501367Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.5501546Z 'obj_weakref': None 2022-11-23T01:37:55.5501758Z 'guarded_class': 2022-11-23T01:37:55.5501824Z } 2022-11-23T01:37:55.5501888Z 2022-11-23T01:37:55.5501958Z - 2022-11-23T01:37:55.5502142Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:37:55.5502207Z { 2022-11-23T01:37:55.5502377Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:37:55.5502910Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93851402555296)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents == [10, 100]'], 2022-11-23T01:37:55.5503031Z 'obj_weakref': None 2022-11-23T01:37:55.5503260Z 'guarded_class': 2022-11-23T01:37:55.5503322Z } 2022-11-23T01:37:55.5503383Z 2022-11-23T01:37:55.5503453Z - 2022-11-23T01:37:55.5503640Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:37:55.5503706Z { 2022-11-23T01:37:55.5503839Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5504125Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents[0] == 10'], 2022-11-23T01:37:55.5504248Z 'obj_weakref': None 2022-11-23T01:37:55.5504471Z 'guarded_class': 2022-11-23T01:37:55.5504539Z } 2022-11-23T01:37:55.5504600Z 2022-11-23T01:37:55.5504670Z - 2022-11-23T01:37:55.5504846Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:37:55.5504912Z { 2022-11-23T01:37:55.5505056Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5505344Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents[1] == 100'], 2022-11-23T01:37:55.5505468Z 'obj_weakref': None 2022-11-23T01:37:55.5505692Z 'guarded_class': 2022-11-23T01:37:55.5505754Z } 2022-11-23T01:37:55.5505803Z 2022-11-23T01:37:55.5506067Z [2022-11-23 01:36:24,056] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 424 2022-11-23T01:37:55.5506441Z [2022-11-23 01:36:24,070] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6d/c6dppfewaicticd22gn4uqw2qsldcxy37iljejqs642o5pio35su.py 2022-11-23T01:37:55.5506710Z [2022-11-23 01:36:24,070] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 424 2022-11-23T01:37:55.5506954Z [2022-11-23 01:36:24,074] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.5507227Z [2022-11-23 01:36:24,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.5507480Z [2022-11-23 01:36:24,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.5507739Z [2022-11-23 01:36:24,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.5508027Z [2022-11-23 01:36:24,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.5508433Z [2022-11-23 01:36:24,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.5508756Z [2022-11-23 01:36:24,074] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.5508889Z 943 0 LOAD_FAST 0 (x) 2022-11-23T01:37:55.5508980Z 2 LOAD_CONST 1 (1) 2022-11-23T01:37:55.5509055Z 4 BINARY_ADD 2022-11-23T01:37:55.5509150Z 6 LOAD_METHOD 0 (view) 2022-11-23T01:37:55.5509241Z 8 LOAD_DEREF 0 (size2) 2022-11-23T01:37:55.5509326Z 10 CALL_METHOD 1 2022-11-23T01:37:55.5509403Z 12 LOAD_FAST 1 (y) 2022-11-23T01:37:55.5509475Z 14 BINARY_ADD 2022-11-23T01:37:55.5509563Z 16 BUILD_TUPLE 1 2022-11-23T01:37:55.5509639Z 18 RETURN_VALUE 2022-11-23T01:37:55.5509698Z 2022-11-23T01:37:55.5509704Z 2022-11-23T01:37:55.5509974Z [2022-11-23 01:36:24,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:943 2022-11-23T01:37:55.5510189Z [2022-11-23 01:36:24,074] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.5510434Z [2022-11-23 01:36:24,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:37:55.5510710Z [2022-11-23 01:36:24,075] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.5510954Z [2022-11-23 01:36:24,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:37:55.5511235Z [2022-11-23 01:36:24,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:37:55.5511542Z [2022-11-23 01:36:24,076] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:37:55.5511781Z [2022-11-23 01:36:24,077] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:37:55.5512057Z [2022-11-23 01:36:24,077] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.5512301Z [2022-11-23 01:36:24,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.5512550Z [2022-11-23 01:36:24,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5512884Z [2022-11-23 01:36:24,078] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.5513132Z [2022-11-23 01:36:24,078] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5513357Z [2022-11-23 01:36:24,078] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.5513613Z [2022-11-23 01:36:24,080] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.5513869Z [2022-11-23 01:36:24,083] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.5514060Z [2022-11-23 01:36:24,083] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.5514194Z __compiled_fn_433 .3417 opcode, name, target, args, kwargs 2022-11-23T01:37:55.5514313Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.5514402Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.5514580Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:55.5514667Z call_method, view, view, (add, [10, 100]), {} 2022-11-23T01:37:55.5514848Z call_function, add_1, , (view, ex_1_), {} 2022-11-23T01:37:55.5514942Z output, output, output, ((add_1,),), {} 2022-11-23T01:37:55.5514947Z 2022-11-23T01:37:55.5515228Z [2022-11-23 01:36:24,084] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5515322Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5515443Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5515536Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.5515625Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.5515689Z 8 RETURN_VALUE 2022-11-23T01:37:55.5515694Z 2022-11-23T01:37:55.5515753Z 2022-11-23T01:37:55.5516033Z [2022-11-23 01:36:24,084] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5516142Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_433) 2022-11-23T01:37:55.5516231Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5516320Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5516395Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.5516471Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5516555Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.5516629Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.5516720Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.5516824Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5516950Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:55.5517045Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:55.5517134Z 22 CALL_FUNCTION 0 2022-11-23T01:37:55.5517217Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:55.5517316Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5517402Z 28 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5517480Z 30 BINARY_SUBSCR 2022-11-23T01:37:55.5517567Z 32 BUILD_TUPLE 1 2022-11-23T01:37:55.5517658Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5517755Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5517833Z 38 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5517906Z 40 BINARY_SUBSCR 2022-11-23T01:37:55.5518008Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5518098Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5518195Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5518285Z 48 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5518360Z 50 BINARY_SUBSCR 2022-11-23T01:37:55.5518448Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5518523Z 54 RETURN_VALUE 2022-11-23T01:37:55.5518528Z 2022-11-23T01:37:55.5518588Z 2022-11-23T01:37:55.5518775Z [2022-11-23 01:36:24,085] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.5518846Z - 2022-11-23T01:37:55.5518968Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.5519032Z { 2022-11-23T01:37:55.5519163Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.5519355Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.5519477Z 'obj_weakref': None 2022-11-23T01:37:55.5519702Z 'guarded_class': 2022-11-23T01:37:55.5519767Z } 2022-11-23T01:37:55.5519829Z 2022-11-23T01:37:55.5519929Z - 2022-11-23T01:37:55.5520046Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.5520109Z { 2022-11-23T01:37:55.5520254Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5520363Z 'code': None, 2022-11-23T01:37:55.5520580Z 'obj_weakref': 2022-11-23T01:37:55.5520833Z 'guarded_class': 2022-11-23T01:37:55.5520896Z } 2022-11-23T01:37:55.5520946Z 2022-11-23T01:37:55.5521045Z - 2022-11-23T01:37:55.5521172Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.5521237Z { 2022-11-23T01:37:55.5521381Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5521494Z 'code': None, 2022-11-23T01:37:55.5521710Z 'obj_weakref': 2022-11-23T01:37:55.5521971Z 'guarded_class': 2022-11-23T01:37:55.5522023Z } 2022-11-23T01:37:55.5522085Z 2022-11-23T01:37:55.5522159Z - 2022-11-23T01:37:55.5522295Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.5522360Z { 2022-11-23T01:37:55.5522498Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.5522659Z 'code': ['___check_obj_id(model, 140538441420240)'], 2022-11-23T01:37:55.5522787Z 'obj_weakref': None 2022-11-23T01:37:55.5523022Z 'guarded_class': 2022-11-23T01:37:55.5523090Z } 2022-11-23T01:37:55.5523155Z 2022-11-23T01:37:55.5523226Z - 2022-11-23T01:37:55.5523352Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.5523401Z { 2022-11-23T01:37:55.5523543Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.5523768Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.5523894Z 'obj_weakref': None 2022-11-23T01:37:55.5524120Z 'guarded_class': 2022-11-23T01:37:55.5524185Z } 2022-11-23T01:37:55.5524248Z 2022-11-23T01:37:55.5524305Z - 2022-11-23T01:37:55.5524487Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:37:55.5524552Z { 2022-11-23T01:37:55.5524724Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:37:55.5525281Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93851402555296)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents == [10, 100]'], 2022-11-23T01:37:55.5525407Z 'obj_weakref': None 2022-11-23T01:37:55.5525631Z 'guarded_class': 2022-11-23T01:37:55.5525696Z } 2022-11-23T01:37:55.5525745Z 2022-11-23T01:37:55.5525816Z - 2022-11-23T01:37:55.5526005Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:37:55.5526073Z { 2022-11-23T01:37:55.5526218Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5526507Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents[0] == 10'], 2022-11-23T01:37:55.5526635Z 'obj_weakref': None 2022-11-23T01:37:55.5526861Z 'guarded_class': 2022-11-23T01:37:55.5526913Z } 2022-11-23T01:37:55.5527005Z 2022-11-23T01:37:55.5527080Z - 2022-11-23T01:37:55.5527269Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:37:55.5527336Z { 2022-11-23T01:37:55.5527482Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5527768Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents[1] == 100'], 2022-11-23T01:37:55.5527877Z 'obj_weakref': None 2022-11-23T01:37:55.5528101Z 'guarded_class': 2022-11-23T01:37:55.5528198Z } 2022-11-23T01:37:55.5528260Z 2022-11-23T01:37:55.5528528Z [2022-11-23 01:36:24,092] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 425 2022-11-23T01:37:55.5528907Z [2022-11-23 01:36:24,120] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tx/ctxv3kzsqpw4johrptb7mq2rcyo7admdmwga26uihiqnhduuulox.py 2022-11-23T01:37:55.5529177Z [2022-11-23 01:36:24,120] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 425 2022-11-23T01:37:55.5529419Z [2022-11-23 01:36:24,123] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.5529677Z [2022-11-23 01:36:24,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.5529897Z [2022-11-23 01:36:24,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.5530157Z [2022-11-23 01:36:24,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.5530453Z [2022-11-23 01:36:24,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.5530782Z [2022-11-23 01:36:24,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.5531112Z [2022-11-23 01:36:24,124] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.5531204Z 940 0 LOAD_FAST 0 (x) 2022-11-23T01:37:55.5531298Z 2 LOAD_METHOD 0 (view) 2022-11-23T01:37:55.5531391Z 4 LOAD_DEREF 0 (size2) 2022-11-23T01:37:55.5531466Z 6 CALL_METHOD 1 2022-11-23T01:37:55.5531557Z 8 LOAD_FAST 1 (y) 2022-11-23T01:37:55.5531628Z 10 BINARY_ADD 2022-11-23T01:37:55.5531717Z 12 BUILD_TUPLE 1 2022-11-23T01:37:55.5531793Z 14 RETURN_VALUE 2022-11-23T01:37:55.5531853Z 2022-11-23T01:37:55.5531858Z 2022-11-23T01:37:55.5532126Z [2022-11-23 01:36:24,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:940 2022-11-23T01:37:55.5532342Z [2022-11-23 01:36:24,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.5532575Z [2022-11-23 01:36:24,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:37:55.5532860Z [2022-11-23 01:36:24,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:37:55.5533164Z [2022-11-23 01:36:24,125] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:37:55.5533402Z [2022-11-23 01:36:24,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:37:55.5533679Z [2022-11-23 01:36:24,126] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.5533924Z [2022-11-23 01:36:24,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.5534202Z [2022-11-23 01:36:24,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5534538Z [2022-11-23 01:36:24,127] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.5534785Z [2022-11-23 01:36:24,127] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5535007Z [2022-11-23 01:36:24,127] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.5535261Z [2022-11-23 01:36:24,128] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.5535552Z [2022-11-23 01:36:24,132] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.5535742Z [2022-11-23 01:36:24,132] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.5535880Z __compiled_fn_434 .3423 opcode, name, target, args, kwargs 2022-11-23T01:37:55.5535968Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.5536054Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.5536153Z call_method, view, view, (ex_0_, [4, 4]), {} 2022-11-23T01:37:55.5536320Z call_function, add, , (view, ex_1_), {} 2022-11-23T01:37:55.5536415Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.5536421Z 2022-11-23T01:37:55.5536697Z [2022-11-23 01:36:24,132] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5536789Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5536881Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5536972Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.5537062Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.5537138Z 8 RETURN_VALUE 2022-11-23T01:37:55.5537143Z 2022-11-23T01:37:55.5537191Z 2022-11-23T01:37:55.5537468Z [2022-11-23 01:36:24,132] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5537574Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_434) 2022-11-23T01:37:55.5537665Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5537754Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5537830Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.5537918Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5537992Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.5538067Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.5538159Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.5538264Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5538391Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:55.5538486Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:55.5538575Z 22 CALL_FUNCTION 0 2022-11-23T01:37:55.5538670Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:55.5538917Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5539067Z 28 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5539167Z 30 BINARY_SUBSCR 2022-11-23T01:37:55.5539257Z 32 BUILD_TUPLE 1 2022-11-23T01:37:55.5539350Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5539451Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5539539Z 38 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5539607Z 40 BINARY_SUBSCR 2022-11-23T01:37:55.5539707Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5539798Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5539896Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5540042Z 48 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5540119Z 50 BINARY_SUBSCR 2022-11-23T01:37:55.5540219Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5540281Z 54 RETURN_VALUE 2022-11-23T01:37:55.5540286Z 2022-11-23T01:37:55.5540345Z 2022-11-23T01:37:55.5540541Z [2022-11-23 01:36:24,134] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.5540615Z - 2022-11-23T01:37:55.5540737Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.5540800Z { 2022-11-23T01:37:55.5540948Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.5541199Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.5541322Z 'obj_weakref': None 2022-11-23T01:37:55.5541548Z 'guarded_class': 2022-11-23T01:37:55.5541613Z } 2022-11-23T01:37:55.5541674Z 2022-11-23T01:37:55.5541748Z - 2022-11-23T01:37:55.5541877Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.5541929Z { 2022-11-23T01:37:55.5542072Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5542179Z 'code': None, 2022-11-23T01:37:55.5542397Z 'obj_weakref': 2022-11-23T01:37:55.5542654Z 'guarded_class': 2022-11-23T01:37:55.5542717Z } 2022-11-23T01:37:55.5542778Z 2022-11-23T01:37:55.5542835Z - 2022-11-23T01:37:55.5542964Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.5543028Z { 2022-11-23T01:37:55.5543172Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5543286Z 'code': None, 2022-11-23T01:37:55.5543501Z 'obj_weakref': 2022-11-23T01:37:55.5543757Z 'guarded_class': 2022-11-23T01:37:55.5543821Z } 2022-11-23T01:37:55.5543872Z 2022-11-23T01:37:55.5543943Z - 2022-11-23T01:37:55.5544074Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.5544139Z { 2022-11-23T01:37:55.5544274Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.5544448Z 'code': ['___check_obj_id(model, 140538426411632)'], 2022-11-23T01:37:55.5544556Z 'obj_weakref': None 2022-11-23T01:37:55.5544790Z 'guarded_class': 2022-11-23T01:37:55.5544856Z } 2022-11-23T01:37:55.5544919Z 2022-11-23T01:37:55.5544989Z - 2022-11-23T01:37:55.5545112Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.5545174Z { 2022-11-23T01:37:55.5545299Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.5545520Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.5545641Z 'obj_weakref': None 2022-11-23T01:37:55.5545863Z 'guarded_class': 2022-11-23T01:37:55.5545925Z } 2022-11-23T01:37:55.5545987Z 2022-11-23T01:37:55.5546057Z - 2022-11-23T01:37:55.5546226Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:37:55.5546289Z { 2022-11-23T01:37:55.5546461Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:37:55.5547039Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93851402555296)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents == [4, 4]'], 2022-11-23T01:37:55.5547164Z 'obj_weakref': None 2022-11-23T01:37:55.5547387Z 'guarded_class': 2022-11-23T01:37:55.5547451Z } 2022-11-23T01:37:55.5547512Z 2022-11-23T01:37:55.5547569Z - 2022-11-23T01:37:55.5547757Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:37:55.5547819Z { 2022-11-23T01:37:55.5547964Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5548321Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents[0] == 4'], 2022-11-23T01:37:55.5548508Z 'obj_weakref': None 2022-11-23T01:37:55.5548732Z 'guarded_class': 2022-11-23T01:37:55.5548795Z } 2022-11-23T01:37:55.5548844Z 2022-11-23T01:37:55.5548917Z - 2022-11-23T01:37:55.5549104Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:37:55.5549169Z { 2022-11-23T01:37:55.5549314Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5549606Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents[1] == 4'], 2022-11-23T01:37:55.5549725Z 'obj_weakref': None 2022-11-23T01:37:55.5549933Z 'guarded_class': 2022-11-23T01:37:55.5549997Z } 2022-11-23T01:37:55.5550061Z 2022-11-23T01:37:55.5550327Z [2022-11-23 01:36:24,139] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 426 2022-11-23T01:37:55.5550708Z [2022-11-23 01:36:25,503] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cu/ccuajimfbnu6h5hwdzci3x3kb6eexll6owdpk5rjbt6wixchyagh.py 2022-11-23T01:37:55.5550979Z [2022-11-23 01:36:25,504] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 426 2022-11-23T01:37:55.5551219Z [2022-11-23 01:36:25,510] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.5551495Z [2022-11-23 01:36:25,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.5551702Z [2022-11-23 01:36:25,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.5551955Z [2022-11-23 01:36:25,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.5552244Z [2022-11-23 01:36:25,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.5552570Z [2022-11-23 01:36:25,510] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.5552902Z [2022-11-23 01:36:25,511] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.5552994Z 943 0 LOAD_FAST 0 (x) 2022-11-23T01:37:55.5553084Z 2 LOAD_CONST 1 (1) 2022-11-23T01:37:55.5553157Z 4 BINARY_ADD 2022-11-23T01:37:55.5553252Z 6 LOAD_METHOD 0 (view) 2022-11-23T01:37:55.5553332Z 8 LOAD_DEREF 0 (size2) 2022-11-23T01:37:55.5553417Z 10 CALL_METHOD 1 2022-11-23T01:37:55.5553507Z 12 LOAD_FAST 1 (y) 2022-11-23T01:37:55.5553578Z 14 BINARY_ADD 2022-11-23T01:37:55.5553665Z 16 BUILD_TUPLE 1 2022-11-23T01:37:55.5553741Z 18 RETURN_VALUE 2022-11-23T01:37:55.5553800Z 2022-11-23T01:37:55.5553806Z 2022-11-23T01:37:55.5554090Z [2022-11-23 01:36:25,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:943 2022-11-23T01:37:55.5554305Z [2022-11-23 01:36:25,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.5554549Z [2022-11-23 01:36:25,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:37:55.5554836Z [2022-11-23 01:36:25,511] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.5555078Z [2022-11-23 01:36:25,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:37:55.5555390Z [2022-11-23 01:36:25,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:37:55.5555696Z [2022-11-23 01:36:25,513] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:37:55.5555939Z [2022-11-23 01:36:25,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:37:55.5556215Z [2022-11-23 01:36:25,514] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.5556458Z [2022-11-23 01:36:25,515] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.5556695Z [2022-11-23 01:36:25,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5557032Z [2022-11-23 01:36:25,516] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.5557284Z [2022-11-23 01:36:25,516] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5557520Z [2022-11-23 01:36:25,516] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.5557780Z [2022-11-23 01:36:25,517] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.5558033Z [2022-11-23 01:36:25,521] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.5558226Z [2022-11-23 01:36:25,522] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.5558359Z __compiled_fn_435 .3429 opcode, name, target, args, kwargs 2022-11-23T01:37:55.5558447Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.5558519Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.5558695Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:55.5558795Z call_method, view, view, (add, [4, 4]), {} 2022-11-23T01:37:55.5558977Z call_function, add_1, , (view, ex_1_), {} 2022-11-23T01:37:55.5559072Z output, output, output, ((add_1,),), {} 2022-11-23T01:37:55.5559078Z 2022-11-23T01:37:55.5559360Z [2022-11-23 01:36:25,522] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5559452Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5559529Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5559619Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.5559709Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.5559783Z 8 RETURN_VALUE 2022-11-23T01:37:55.5559789Z 2022-11-23T01:37:55.5559847Z 2022-11-23T01:37:55.5560123Z [2022-11-23 01:36:25,522] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5560230Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_435) 2022-11-23T01:37:55.5560324Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5560399Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5560474Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.5560561Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5560678Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.5560754Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.5560843Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.5560947Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5561064Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:55.5561158Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:55.5561245Z 22 CALL_FUNCTION 0 2022-11-23T01:37:55.5561341Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:55.5561442Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5561561Z 28 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5561636Z 30 BINARY_SUBSCR 2022-11-23T01:37:55.5561711Z 32 BUILD_TUPLE 1 2022-11-23T01:37:55.5561802Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5561900Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5561986Z 38 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5562063Z 40 BINARY_SUBSCR 2022-11-23T01:37:55.5562164Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5562253Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5562349Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5562424Z 48 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5562498Z 50 BINARY_SUBSCR 2022-11-23T01:37:55.5562599Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5562676Z 54 RETURN_VALUE 2022-11-23T01:37:55.5562680Z 2022-11-23T01:37:55.5562741Z 2022-11-23T01:37:55.5562930Z [2022-11-23 01:36:25,524] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.5563001Z - 2022-11-23T01:37:55.5563111Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.5563179Z { 2022-11-23T01:37:55.5563325Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.5563515Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.5563637Z 'obj_weakref': None 2022-11-23T01:37:55.5563865Z 'guarded_class': 2022-11-23T01:37:55.5563928Z } 2022-11-23T01:37:55.5563978Z 2022-11-23T01:37:55.5564048Z - 2022-11-23T01:37:55.5564174Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.5564238Z { 2022-11-23T01:37:55.5564385Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5564500Z 'code': None, 2022-11-23T01:37:55.5564723Z 'obj_weakref': 2022-11-23T01:37:55.5564970Z 'guarded_class': 2022-11-23T01:37:55.5565038Z } 2022-11-23T01:37:55.5565102Z 2022-11-23T01:37:55.5565176Z - 2022-11-23T01:37:55.5565303Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.5565368Z { 2022-11-23T01:37:55.5565515Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5565611Z 'code': None, 2022-11-23T01:37:55.5565827Z 'obj_weakref': 2022-11-23T01:37:55.5566082Z 'guarded_class': 2022-11-23T01:37:55.5566147Z } 2022-11-23T01:37:55.5566214Z 2022-11-23T01:37:55.5566287Z - 2022-11-23T01:37:55.5566420Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.5566471Z { 2022-11-23T01:37:55.5566609Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.5566782Z 'code': ['___check_obj_id(model, 140538441420240)'], 2022-11-23T01:37:55.5566938Z 'obj_weakref': None 2022-11-23T01:37:55.5567180Z 'guarded_class': 2022-11-23T01:37:55.5567247Z } 2022-11-23T01:37:55.5567312Z 2022-11-23T01:37:55.5567369Z - 2022-11-23T01:37:55.5567493Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.5567558Z { 2022-11-23T01:37:55.5567697Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.5567921Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.5568044Z 'obj_weakref': None 2022-11-23T01:37:55.5568302Z 'guarded_class': 2022-11-23T01:37:55.5568354Z } 2022-11-23T01:37:55.5568417Z 2022-11-23T01:37:55.5568494Z - 2022-11-23T01:37:55.5568676Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:37:55.5568746Z { 2022-11-23T01:37:55.5568917Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:37:55.5569464Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93851402555296)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents == [4, 4]'], 2022-11-23T01:37:55.5569589Z 'obj_weakref': None 2022-11-23T01:37:55.5569801Z 'guarded_class': 2022-11-23T01:37:55.5569869Z } 2022-11-23T01:37:55.5569932Z 2022-11-23T01:37:55.5570006Z - 2022-11-23T01:37:55.5570199Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:37:55.5570264Z { 2022-11-23T01:37:55.5570413Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5570688Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents[0] == 4'], 2022-11-23T01:37:55.5570811Z 'obj_weakref': None 2022-11-23T01:37:55.5571038Z 'guarded_class': 2022-11-23T01:37:55.5571102Z } 2022-11-23T01:37:55.5571165Z 2022-11-23T01:37:55.5571238Z - 2022-11-23T01:37:55.5571427Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:37:55.5571478Z { 2022-11-23T01:37:55.5571622Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5571908Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents[1] == 4'], 2022-11-23T01:37:55.5572028Z 'obj_weakref': None 2022-11-23T01:37:55.5572252Z 'guarded_class': 2022-11-23T01:37:55.5572314Z } 2022-11-23T01:37:55.5572376Z 2022-11-23T01:37:55.5572640Z [2022-11-23 01:36:25,531] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 427 2022-11-23T01:37:55.5572999Z [2022-11-23 01:36:26,933] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/mr/cmrrcz6xa7qfffbz3os6pk5favt5xue3pefavmeplda7nttvfhwo.py 2022-11-23T01:37:55.5573263Z [2022-11-23 01:36:26,934] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 427 2022-11-23T01:37:55.5573506Z [2022-11-23 01:36:26,940] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.5573779Z [2022-11-23 01:36:26,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.5573999Z [2022-11-23 01:36:26,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.5574284Z [2022-11-23 01:36:26,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.5574577Z [2022-11-23 01:36:26,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.5574904Z [2022-11-23 01:36:26,940] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.5575236Z [2022-11-23 01:36:26,941] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.5575347Z 940 0 LOAD_FAST 0 (x) 2022-11-23T01:37:55.5575443Z 2 LOAD_METHOD 0 (view) 2022-11-23T01:37:55.5575536Z 4 LOAD_DEREF 0 (size2) 2022-11-23T01:37:55.5575623Z 6 CALL_METHOD 1 2022-11-23T01:37:55.5575712Z 8 LOAD_FAST 1 (y) 2022-11-23T01:37:55.5575784Z 10 BINARY_ADD 2022-11-23T01:37:55.5575873Z 12 BUILD_TUPLE 1 2022-11-23T01:37:55.5575948Z 14 RETURN_VALUE 2022-11-23T01:37:55.5575996Z 2022-11-23T01:37:55.5576001Z 2022-11-23T01:37:55.5576271Z [2022-11-23 01:36:26,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:940 2022-11-23T01:37:55.5576484Z [2022-11-23 01:36:26,941] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.5576729Z [2022-11-23 01:36:26,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:37:55.5577020Z [2022-11-23 01:36:26,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:37:55.5577328Z [2022-11-23 01:36:26,942] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:37:55.5577570Z [2022-11-23 01:36:26,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:37:55.5577844Z [2022-11-23 01:36:26,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.5578089Z [2022-11-23 01:36:26,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.5578323Z [2022-11-23 01:36:26,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5578655Z [2022-11-23 01:36:26,944] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.5579132Z [2022-11-23 01:36:26,944] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5579394Z [2022-11-23 01:36:26,944] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.5579652Z [2022-11-23 01:36:26,946] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.5579904Z [2022-11-23 01:36:26,949] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.5580097Z [2022-11-23 01:36:26,950] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.5580232Z __compiled_fn_436 .3435 opcode, name, target, args, kwargs 2022-11-23T01:37:55.5580322Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.5580395Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.5580490Z call_method, view, view, (ex_0_, [35]), {} 2022-11-23T01:37:55.5580675Z call_function, add, , (view, ex_1_), {} 2022-11-23T01:37:55.5580771Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.5580777Z 2022-11-23T01:37:55.5581057Z [2022-11-23 01:36:26,950] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5581205Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5581300Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5581380Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.5581470Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.5581548Z 8 RETURN_VALUE 2022-11-23T01:37:55.5581553Z 2022-11-23T01:37:55.5581617Z 2022-11-23T01:37:55.5581895Z [2022-11-23 01:36:26,950] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5582002Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_436) 2022-11-23T01:37:55.5582131Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5582221Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5582285Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.5582374Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5582461Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.5582539Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.5582626Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.5582730Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5582858Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:55.5582942Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:55.5583028Z 22 CALL_FUNCTION 0 2022-11-23T01:37:55.5583124Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:55.5583223Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5583311Z 28 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5583385Z 30 BINARY_SUBSCR 2022-11-23T01:37:55.5583471Z 32 BUILD_TUPLE 1 2022-11-23T01:37:55.5583551Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5583648Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5583736Z 38 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5583811Z 40 BINARY_SUBSCR 2022-11-23T01:37:55.5583910Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5583999Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5584094Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5584180Z 48 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5584242Z 50 BINARY_SUBSCR 2022-11-23T01:37:55.5584340Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5584416Z 54 RETURN_VALUE 2022-11-23T01:37:55.5584421Z 2022-11-23T01:37:55.5584482Z 2022-11-23T01:37:55.5584672Z [2022-11-23 01:36:26,952] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.5584744Z - 2022-11-23T01:37:55.5584864Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.5584916Z { 2022-11-23T01:37:55.5585062Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.5585254Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.5585377Z 'obj_weakref': None 2022-11-23T01:37:55.5585603Z 'guarded_class': 2022-11-23T01:37:55.5585668Z } 2022-11-23T01:37:55.5585729Z 2022-11-23T01:37:55.5585788Z - 2022-11-23T01:37:55.5585914Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.5585978Z { 2022-11-23T01:37:55.5586122Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5586234Z 'code': None, 2022-11-23T01:37:55.5586450Z 'obj_weakref': 2022-11-23T01:37:55.5586705Z 'guarded_class': 2022-11-23T01:37:55.5586756Z } 2022-11-23T01:37:55.5586846Z 2022-11-23T01:37:55.5586918Z - 2022-11-23T01:37:55.5587045Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.5587107Z { 2022-11-23T01:37:55.5587251Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5587361Z 'code': None, 2022-11-23T01:37:55.5587565Z 'obj_weakref': 2022-11-23T01:37:55.5587821Z 'guarded_class': 2022-11-23T01:37:55.5587882Z } 2022-11-23T01:37:55.5587944Z 2022-11-23T01:37:55.5588049Z - 2022-11-23T01:37:55.5588259Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.5588328Z { 2022-11-23T01:37:55.5588456Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.5588626Z 'code': ['___check_obj_id(model, 140538426411632)'], 2022-11-23T01:37:55.5588749Z 'obj_weakref': None 2022-11-23T01:37:55.5588982Z 'guarded_class': 2022-11-23T01:37:55.5589046Z } 2022-11-23T01:37:55.5589107Z 2022-11-23T01:37:55.5589177Z - 2022-11-23T01:37:55.5589288Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.5589351Z { 2022-11-23T01:37:55.5589488Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.5589705Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.5589824Z 'obj_weakref': None 2022-11-23T01:37:55.5590050Z 'guarded_class': 2022-11-23T01:37:55.5590113Z } 2022-11-23T01:37:55.5590162Z 2022-11-23T01:37:55.5590232Z - 2022-11-23T01:37:55.5590412Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:37:55.5590476Z { 2022-11-23T01:37:55.5590648Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:37:55.5591094Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93851402555296)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents == [35]'], 2022-11-23T01:37:55.5591216Z 'obj_weakref': None 2022-11-23T01:37:55.5591436Z 'guarded_class': 2022-11-23T01:37:55.5591487Z } 2022-11-23T01:37:55.5591552Z 2022-11-23T01:37:55.5591621Z - 2022-11-23T01:37:55.5591810Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:37:55.5591875Z { 2022-11-23T01:37:55.5592018Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5592306Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents[0] == 35'], 2022-11-23T01:37:55.5592415Z 'obj_weakref': None 2022-11-23T01:37:55.5592635Z 'guarded_class': 2022-11-23T01:37:55.5592699Z } 2022-11-23T01:37:55.5592759Z 2022-11-23T01:37:55.5593019Z [2022-11-23 01:36:26,961] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 428 2022-11-23T01:37:55.5593025Z 2022-11-23T01:37:55.5593029Z 2022-11-23T01:37:55.5593122Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.5593194Z import torch 2022-11-23T01:37:55.5593263Z import random 2022-11-23T01:37:55.5593365Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.5593488Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.5593493Z 2022-11-23T01:37:55.5593569Z aten = torch.ops.aten 2022-11-23T01:37:55.5593734Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.5593827Z async_compile = AsyncCompile() 2022-11-23T01:37:55.5593833Z 2022-11-23T01:37:55.5593837Z 2022-11-23T01:37:55.5593974Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.5594180Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.5594300Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.5594392Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.5594491Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.5594551Z { 2022-11-23T01:37:55.5594634Z for(long i0=0; i0<125; i0+=1) 2022-11-23T01:37:55.5594744Z { 2022-11-23T01:37:55.5594893Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.5595022Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.5595093Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5595182Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.5595244Z } 2022-11-23T01:37:55.5595331Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.5595412Z for(long i0=1000; i0<1000; i0+=1) 2022-11-23T01:37:55.5595472Z { 2022-11-23T01:37:55.5595553Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.5595621Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.5595699Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5595775Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.5595837Z } 2022-11-23T01:37:55.5595897Z } 2022-11-23T01:37:55.5595980Z ''') 2022-11-23T01:37:55.5595985Z 2022-11-23T01:37:55.5595991Z 2022-11-23T01:37:55.5596080Z async_compile.wait(globals()) 2022-11-23T01:37:55.5596142Z del async_compile 2022-11-23T01:37:55.5596147Z 2022-11-23T01:37:55.5596217Z def call(args): 2022-11-23T01:37:55.5596292Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.5596363Z args.clear() 2022-11-23T01:37:55.5596569Z buf0 = empty_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5596737Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.5596806Z del arg0_1 2022-11-23T01:37:55.5596861Z del arg1_1 2022-11-23T01:37:55.5596931Z return (buf0, ) 2022-11-23T01:37:55.5596937Z 2022-11-23T01:37:55.5596941Z 2022-11-23T01:37:55.5597017Z if __name__ == "__main__": 2022-11-23T01:37:55.5597130Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.5597253Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.5597486Z arg0_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5597697Z arg1_1 = rand_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5597811Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.5597816Z 2022-11-23T01:37:55.5597820Z 2022-11-23T01:37:55.5597912Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.5597970Z import torch 2022-11-23T01:37:55.5598043Z import random 2022-11-23T01:37:55.5598156Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.5598275Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.5598280Z 2022-11-23T01:37:55.5598357Z aten = torch.ops.aten 2022-11-23T01:37:55.5598489Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.5598579Z async_compile = AsyncCompile() 2022-11-23T01:37:55.5598585Z 2022-11-23T01:37:55.5598589Z 2022-11-23T01:37:55.5598710Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.5598915Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.5599035Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.5599138Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.5599237Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.5599296Z { 2022-11-23T01:37:55.5599406Z for(long i0=0; i0<125; i0+=1) 2022-11-23T01:37:55.5599468Z { 2022-11-23T01:37:55.5599588Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.5599717Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.5599846Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:55.5599928Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5600009Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.5600095Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.5600158Z } 2022-11-23T01:37:55.5600232Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.5600350Z for(long i0=1000; i0<1000; i0+=1) 2022-11-23T01:37:55.5600414Z { 2022-11-23T01:37:55.5600493Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.5600573Z auto tmp3 = in_ptr1[i0]; 2022-11-23T01:37:55.5600669Z auto tmp1 = static_cast(1); 2022-11-23T01:37:55.5600748Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5600817Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.5600894Z out_ptr0[i0] = tmp4; 2022-11-23T01:37:55.5600955Z } 2022-11-23T01:37:55.5601012Z } 2022-11-23T01:37:55.5601093Z ''') 2022-11-23T01:37:55.5601098Z 2022-11-23T01:37:55.5601103Z 2022-11-23T01:37:55.5601190Z async_compile.wait(globals()) 2022-11-23T01:37:55.5601261Z del async_compile 2022-11-23T01:37:55.5601265Z 2022-11-23T01:37:55.5601323Z def call(args): 2022-11-23T01:37:55.5601398Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.5601468Z args.clear() 2022-11-23T01:37:55.5601672Z buf0 = empty_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5601835Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.5601903Z del arg0_1 2022-11-23T01:37:55.5601968Z del arg1_1 2022-11-23T01:37:55.5602027Z return (buf0, ) 2022-11-23T01:37:55.5602045Z 2022-11-23T01:37:55.5602049Z 2022-11-23T01:37:55.5602111Z if __name__ == "__main__": 2022-11-23T01:37:55.5602224Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.5602349Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.5602583Z arg0_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5602791Z arg1_1 = rand_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5602906Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.5602911Z 2022-11-23T01:37:55.5602915Z 2022-11-23T01:37:55.5603007Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.5603081Z import torch 2022-11-23T01:37:55.5603138Z import random 2022-11-23T01:37:55.5603253Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.5603374Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.5603379Z 2022-11-23T01:37:55.5603461Z aten = torch.ops.aten 2022-11-23T01:37:55.5603596Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.5603687Z async_compile = AsyncCompile() 2022-11-23T01:37:55.5603692Z 2022-11-23T01:37:55.5603696Z 2022-11-23T01:37:55.5603832Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.5604036Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.5604141Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.5604249Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.5604350Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.5604411Z { 2022-11-23T01:37:55.5604495Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:55.5604557Z { 2022-11-23T01:37:55.5604691Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.5604806Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.5604892Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5605016Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.5605080Z } 2022-11-23T01:37:55.5605167Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.5605249Z for(long i0=16; i0<16; i0+=1) 2022-11-23T01:37:55.5605311Z { 2022-11-23T01:37:55.5605380Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.5605460Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.5605542Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5605624Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.5605686Z } 2022-11-23T01:37:55.5605750Z } 2022-11-23T01:37:55.5605817Z ''') 2022-11-23T01:37:55.5605836Z 2022-11-23T01:37:55.5605840Z 2022-11-23T01:37:55.5605947Z async_compile.wait(globals()) 2022-11-23T01:37:55.5606021Z del async_compile 2022-11-23T01:37:55.5606026Z 2022-11-23T01:37:55.5606100Z def call(args): 2022-11-23T01:37:55.5606175Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.5606248Z args.clear() 2022-11-23T01:37:55.5606448Z buf0 = empty_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5606614Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.5606670Z del arg0_1 2022-11-23T01:37:55.5606738Z del arg1_1 2022-11-23T01:37:55.5606811Z return (buf0, ) 2022-11-23T01:37:55.5606816Z 2022-11-23T01:37:55.5606820Z 2022-11-23T01:37:55.5606898Z if __name__ == "__main__": 2022-11-23T01:37:55.5607012Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.5607131Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.5607348Z arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5607552Z arg1_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5607655Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.5607660Z 2022-11-23T01:37:55.5607677Z 2022-11-23T01:37:55.5607759Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.5607829Z import torch 2022-11-23T01:37:55.5607902Z import random 2022-11-23T01:37:55.5608014Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.5608132Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.5608136Z 2022-11-23T01:37:55.5608212Z aten = torch.ops.aten 2022-11-23T01:37:55.5608342Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.5608420Z async_compile = AsyncCompile() 2022-11-23T01:37:55.5608425Z 2022-11-23T01:37:55.5608429Z 2022-11-23T01:37:55.5608566Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.5608769Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.5608890Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.5608995Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.5609095Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.5609157Z { 2022-11-23T01:37:55.5609235Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:55.5609285Z { 2022-11-23T01:37:55.5609417Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.5609544Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.5609673Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:55.5609754Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5609835Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.5609921Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.5609970Z } 2022-11-23T01:37:55.5610055Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.5610134Z for(long i0=16; i0<16; i0+=1) 2022-11-23T01:37:55.5610197Z { 2022-11-23T01:37:55.5610276Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.5610355Z auto tmp3 = in_ptr1[i0]; 2022-11-23T01:37:55.5610449Z auto tmp1 = static_cast(1); 2022-11-23T01:37:55.5610516Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5610593Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.5610701Z out_ptr0[i0] = tmp4; 2022-11-23T01:37:55.5610763Z } 2022-11-23T01:37:55.5610822Z } 2022-11-23T01:37:55.5610902Z ''') 2022-11-23T01:37:55.5610907Z 2022-11-23T01:37:55.5610911Z 2022-11-23T01:37:55.5610996Z async_compile.wait(globals()) 2022-11-23T01:37:55.5611055Z del async_compile 2022-11-23T01:37:55.5611059Z 2022-11-23T01:37:55.5611129Z def call(args): 2022-11-23T01:37:55.5611203Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.5611273Z args.clear() 2022-11-23T01:37:55.5611471Z buf0 = empty_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5611634Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.5611732Z del arg0_1 2022-11-23T01:37:55.5611786Z del arg1_1 2022-11-23T01:37:55.5611855Z return (buf0, ) 2022-11-23T01:37:55.5611860Z 2022-11-23T01:37:55.5611863Z 2022-11-23T01:37:55.5611937Z if __name__ == "__main__": 2022-11-23T01:37:55.5612053Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.5612173Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.5612386Z arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5612583Z arg1_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5612699Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.5612704Z 2022-11-23T01:37:55.5612707Z 2022-11-23T01:37:55.5612798Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.5612855Z import torch 2022-11-23T01:37:55.5612923Z import random 2022-11-23T01:37:55.5613037Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.5613157Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.5613162Z 2022-11-23T01:37:55.5613238Z aten = torch.ops.aten 2022-11-23T01:37:55.5613368Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.5613458Z async_compile = AsyncCompile() 2022-11-23T01:37:55.5613463Z 2022-11-23T01:37:55.5613467Z 2022-11-23T01:37:55.5613589Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.5613793Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.5613911Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.5614017Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.5614115Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.5614173Z { 2022-11-23T01:37:55.5614252Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:55.5614313Z { 2022-11-23T01:37:55.5614430Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.5614559Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.5614641Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5614728Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.5614788Z } 2022-11-23T01:37:55.5614875Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.5614954Z for(long i0=32; i0<35; i0+=1) 2022-11-23T01:37:55.5615001Z { 2022-11-23T01:37:55.5615081Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.5615160Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.5615239Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5615315Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.5615374Z } 2022-11-23T01:37:55.5615422Z } 2022-11-23T01:37:55.5615502Z ''') 2022-11-23T01:37:55.5615507Z 2022-11-23T01:37:55.5615511Z 2022-11-23T01:37:55.5615598Z async_compile.wait(globals()) 2022-11-23T01:37:55.5615671Z del async_compile 2022-11-23T01:37:55.5615676Z 2022-11-23T01:37:55.5615744Z def call(args): 2022-11-23T01:37:55.5615816Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.5615886Z args.clear() 2022-11-23T01:37:55.5616080Z buf0 = empty_strided((35, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5616257Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.5616328Z del arg0_1 2022-11-23T01:37:55.5616393Z del arg1_1 2022-11-23T01:37:55.5616463Z return (buf0, ) 2022-11-23T01:37:55.5616469Z 2022-11-23T01:37:55.5616472Z 2022-11-23T01:37:55.5616546Z if __name__ == "__main__": 2022-11-23T01:37:55.5616658Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.5616780Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.5616977Z arg0_1 = rand_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5617161Z arg1_1 = rand_strided((35, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5617307Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.5617684Z [2022-11-23 01:36:26,970] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6u/c6uilzxhahxseiaqlvmm2vx5yc7nqgdxd7p7mutimu55y2t5ea3e.py 2022-11-23T01:37:55.5617958Z [2022-11-23 01:36:26,970] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 428 2022-11-23T01:37:55.5618202Z [2022-11-23 01:36:26,973] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.5618475Z [2022-11-23 01:36:26,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.5618698Z [2022-11-23 01:36:26,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.5619199Z [2022-11-23 01:36:26,973] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.5619482Z [2022-11-23 01:36:26,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.5619815Z [2022-11-23 01:36:26,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.5620150Z [2022-11-23 01:36:26,974] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.5620241Z 943 0 LOAD_FAST 0 (x) 2022-11-23T01:37:55.5620332Z 2 LOAD_CONST 1 (1) 2022-11-23T01:37:55.5620406Z 4 BINARY_ADD 2022-11-23T01:37:55.5620496Z 6 LOAD_METHOD 0 (view) 2022-11-23T01:37:55.5620588Z 8 LOAD_DEREF 0 (size2) 2022-11-23T01:37:55.5620674Z 10 CALL_METHOD 1 2022-11-23T01:37:55.5620751Z 12 LOAD_FAST 1 (y) 2022-11-23T01:37:55.5620825Z 14 BINARY_ADD 2022-11-23T01:37:55.5620913Z 16 BUILD_TUPLE 1 2022-11-23T01:37:55.5620986Z 18 RETURN_VALUE 2022-11-23T01:37:55.5621045Z 2022-11-23T01:37:55.5621052Z 2022-11-23T01:37:55.5621321Z [2022-11-23 01:36:26,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:943 2022-11-23T01:37:55.5621535Z [2022-11-23 01:36:26,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.5621764Z [2022-11-23 01:36:26,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:37:55.5622047Z [2022-11-23 01:36:26,974] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.5622290Z [2022-11-23 01:36:26,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:37:55.5622571Z [2022-11-23 01:36:26,975] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:37:55.5622878Z [2022-11-23 01:36:26,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:37:55.5623121Z [2022-11-23 01:36:26,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:37:55.5623461Z [2022-11-23 01:36:26,976] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.5623712Z [2022-11-23 01:36:26,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.5623959Z [2022-11-23 01:36:26,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5624292Z [2022-11-23 01:36:26,977] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.5624525Z [2022-11-23 01:36:26,977] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5624803Z [2022-11-23 01:36:26,977] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.5625057Z [2022-11-23 01:36:26,979] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.5625311Z [2022-11-23 01:36:26,983] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.5625503Z [2022-11-23 01:36:26,983] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.5625637Z __compiled_fn_437 .3441 opcode, name, target, args, kwargs 2022-11-23T01:37:55.5625726Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.5625812Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.5625975Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:55.5626070Z call_method, view, view, (add, [35]), {} 2022-11-23T01:37:55.5626254Z call_function, add_1, , (view, ex_1_), {} 2022-11-23T01:37:55.5626349Z output, output, output, ((add_1,),), {} 2022-11-23T01:37:55.5626354Z 2022-11-23T01:37:55.5626633Z [2022-11-23 01:36:26,983] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5626728Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5626817Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5626908Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.5626985Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.5627058Z 8 RETURN_VALUE 2022-11-23T01:37:55.5627064Z 2022-11-23T01:37:55.5627123Z 2022-11-23T01:37:55.5627397Z [2022-11-23 01:36:26,983] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5627503Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_437) 2022-11-23T01:37:55.5627595Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5627683Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5627748Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.5627834Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5627919Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.5627995Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.5628083Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.5628273Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5628407Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:55.5628502Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:55.5628577Z 22 CALL_FUNCTION 0 2022-11-23T01:37:55.5628671Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:55.5628771Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5628862Z 28 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5628940Z 30 BINARY_SUBSCR 2022-11-23T01:37:55.5629027Z 32 BUILD_TUPLE 1 2022-11-23T01:37:55.5629119Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5629205Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5629332Z 38 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5629410Z 40 BINARY_SUBSCR 2022-11-23T01:37:55.5629511Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5629600Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5629696Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5629781Z 48 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5629845Z 50 BINARY_SUBSCR 2022-11-23T01:37:55.5629947Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5630021Z 54 RETURN_VALUE 2022-11-23T01:37:55.5630055Z 2022-11-23T01:37:55.5630116Z 2022-11-23T01:37:55.5630311Z [2022-11-23 01:36:26,984] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.5630383Z - 2022-11-23T01:37:55.5630504Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.5630556Z { 2022-11-23T01:37:55.5630701Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.5630892Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.5631014Z 'obj_weakref': None 2022-11-23T01:37:55.5631240Z 'guarded_class': 2022-11-23T01:37:55.5631304Z } 2022-11-23T01:37:55.5631366Z 2022-11-23T01:37:55.5631424Z - 2022-11-23T01:37:55.5631549Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.5631614Z { 2022-11-23T01:37:55.5631756Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5631865Z 'code': None, 2022-11-23T01:37:55.5632085Z 'obj_weakref': 2022-11-23T01:37:55.5632340Z 'guarded_class': 2022-11-23T01:37:55.5632402Z } 2022-11-23T01:37:55.5632451Z 2022-11-23T01:37:55.5632524Z - 2022-11-23T01:37:55.5632649Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.5632712Z { 2022-11-23T01:37:55.5632856Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5632965Z 'code': None, 2022-11-23T01:37:55.5633167Z 'obj_weakref': 2022-11-23T01:37:55.5633424Z 'guarded_class': 2022-11-23T01:37:55.5633488Z } 2022-11-23T01:37:55.5633551Z 2022-11-23T01:37:55.5633625Z - 2022-11-23T01:37:55.5633756Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.5633819Z { 2022-11-23T01:37:55.5633942Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.5634114Z 'code': ['___check_obj_id(model, 140538441420240)'], 2022-11-23T01:37:55.5634234Z 'obj_weakref': None 2022-11-23T01:37:55.5634470Z 'guarded_class': 2022-11-23T01:37:55.5634534Z } 2022-11-23T01:37:55.5634595Z 2022-11-23T01:37:55.5634666Z - 2022-11-23T01:37:55.5634775Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.5634838Z { 2022-11-23T01:37:55.5634974Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.5635192Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.5635311Z 'obj_weakref': None 2022-11-23T01:37:55.5635536Z 'guarded_class': 2022-11-23T01:37:55.5635600Z } 2022-11-23T01:37:55.5635662Z 2022-11-23T01:37:55.5635721Z - 2022-11-23T01:37:55.5635901Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:37:55.5635965Z { 2022-11-23T01:37:55.5636163Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:37:55.5636619Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93851402555296)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents == [35]'], 2022-11-23T01:37:55.5636743Z 'obj_weakref': None 2022-11-23T01:37:55.5636968Z 'guarded_class': 2022-11-23T01:37:55.5637019Z } 2022-11-23T01:37:55.5637078Z 2022-11-23T01:37:55.5637194Z - 2022-11-23T01:37:55.5637381Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:37:55.5637443Z { 2022-11-23T01:37:55.5637588Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5637879Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents[0] == 35'], 2022-11-23T01:37:55.5637987Z 'obj_weakref': None 2022-11-23T01:37:55.5638211Z 'guarded_class': 2022-11-23T01:37:55.5638273Z } 2022-11-23T01:37:55.5638334Z 2022-11-23T01:37:55.5638597Z [2022-11-23 01:36:26,991] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 429 2022-11-23T01:37:55.5638983Z [2022-11-23 01:36:27,009] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pz/cpzfysroyopmwznef2uyhgygsumylgspv2rru4jirt4tjpohut64.py 2022-11-23T01:37:55.5639256Z [2022-11-23 01:36:27,009] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 429 2022-11-23T01:37:55.5639497Z [2022-11-23 01:36:27,012] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.5639773Z [2022-11-23 01:36:27,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.5639985Z [2022-11-23 01:36:27,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.5640241Z [2022-11-23 01:36:27,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.5640531Z [2022-11-23 01:36:27,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.5640859Z [2022-11-23 01:36:27,012] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.5641200Z [2022-11-23 01:36:27,013] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.5641295Z 940 0 LOAD_FAST 0 (x) 2022-11-23T01:37:55.5647251Z 2 LOAD_METHOD 0 (view) 2022-11-23T01:37:55.5647374Z 4 LOAD_DEREF 0 (size2) 2022-11-23T01:37:55.5647465Z 6 CALL_METHOD 1 2022-11-23T01:37:55.5647544Z 8 LOAD_FAST 1 (y) 2022-11-23T01:37:55.5647618Z 10 BINARY_ADD 2022-11-23T01:37:55.5647709Z 12 BUILD_TUPLE 1 2022-11-23T01:37:55.5647787Z 14 RETURN_VALUE 2022-11-23T01:37:55.5647850Z 2022-11-23T01:37:55.5647858Z 2022-11-23T01:37:55.5648162Z [2022-11-23 01:36:27,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:940 2022-11-23T01:37:55.5648383Z [2022-11-23 01:36:27,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.5648622Z [2022-11-23 01:36:27,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:37:55.5648914Z [2022-11-23 01:36:27,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:37:55.5649322Z [2022-11-23 01:36:27,013] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:37:55.5649568Z [2022-11-23 01:36:27,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:37:55.5649844Z [2022-11-23 01:36:27,014] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.5650094Z [2022-11-23 01:36:27,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.5650344Z [2022-11-23 01:36:27,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5650720Z [2022-11-23 01:36:27,015] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.5650974Z [2022-11-23 01:36:27,015] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5651213Z [2022-11-23 01:36:27,015] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.5651458Z [2022-11-23 01:36:27,017] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.5651714Z [2022-11-23 01:36:27,020] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.5651909Z [2022-11-23 01:36:27,020] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.5652048Z __compiled_fn_438 .3447 opcode, name, target, args, kwargs 2022-11-23T01:37:55.5652141Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.5652226Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.5652323Z call_method, view, view, (ex_0_, [5040]), {} 2022-11-23T01:37:55.5652503Z call_function, add, , (view, ex_1_), {} 2022-11-23T01:37:55.5652587Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.5652593Z 2022-11-23T01:37:55.5652878Z [2022-11-23 01:36:27,021] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5652972Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5653064Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5653155Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.5653245Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.5653321Z 8 RETURN_VALUE 2022-11-23T01:37:55.5653327Z 2022-11-23T01:37:55.5653387Z 2022-11-23T01:37:55.5653651Z [2022-11-23 01:36:27,021] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5653763Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_438) 2022-11-23T01:37:55.5653854Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5653941Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5654020Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.5654106Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5654194Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.5654256Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.5654345Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.5654451Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5654578Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:55.5654674Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:55.5654763Z 22 CALL_FUNCTION 0 2022-11-23T01:37:55.5654860Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:55.5654948Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5655039Z 28 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5655114Z 30 BINARY_SUBSCR 2022-11-23T01:37:55.5655230Z 32 BUILD_TUPLE 1 2022-11-23T01:37:55.5655324Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5655422Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5655508Z 38 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5655582Z 40 BINARY_SUBSCR 2022-11-23T01:37:55.5655671Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5655760Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5655855Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5655942Z 48 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5656048Z 50 BINARY_SUBSCR 2022-11-23T01:37:55.5656148Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5656224Z 54 RETURN_VALUE 2022-11-23T01:37:55.5656229Z 2022-11-23T01:37:55.5656276Z 2022-11-23T01:37:55.5656462Z [2022-11-23 01:36:27,022] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.5656536Z - 2022-11-23T01:37:55.5656659Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.5656723Z { 2022-11-23T01:37:55.5656871Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.5657058Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.5657168Z 'obj_weakref': None 2022-11-23T01:37:55.5657393Z 'guarded_class': 2022-11-23T01:37:55.5657460Z } 2022-11-23T01:37:55.5657523Z 2022-11-23T01:37:55.5657594Z - 2022-11-23T01:37:55.5657725Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.5657789Z { 2022-11-23T01:37:55.5657921Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5658030Z 'code': None, 2022-11-23T01:37:55.5658247Z 'obj_weakref': 2022-11-23T01:37:55.5658505Z 'guarded_class': 2022-11-23T01:37:55.5658571Z } 2022-11-23T01:37:55.5658633Z 2022-11-23T01:37:55.5658702Z - 2022-11-23T01:37:55.5659012Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.5659116Z { 2022-11-23T01:37:55.5659280Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5659392Z 'code': None, 2022-11-23T01:37:55.5659607Z 'obj_weakref': 2022-11-23T01:37:55.5659863Z 'guarded_class': 2022-11-23T01:37:55.5659933Z } 2022-11-23T01:37:55.5659984Z 2022-11-23T01:37:55.5660053Z - 2022-11-23T01:37:55.5660187Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.5660249Z { 2022-11-23T01:37:55.5660389Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.5660561Z 'code': ['___check_obj_id(model, 140538426411632)'], 2022-11-23T01:37:55.5660684Z 'obj_weakref': None 2022-11-23T01:37:55.5660906Z 'guarded_class': 2022-11-23T01:37:55.5660970Z } 2022-11-23T01:37:55.5661035Z 2022-11-23T01:37:55.5661105Z - 2022-11-23T01:37:55.5661229Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.5661292Z { 2022-11-23T01:37:55.5661429Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.5661639Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.5661758Z 'obj_weakref': None 2022-11-23T01:37:55.5661984Z 'guarded_class': 2022-11-23T01:37:55.5662047Z } 2022-11-23T01:37:55.5662107Z 2022-11-23T01:37:55.5662239Z - 2022-11-23T01:37:55.5662427Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:37:55.5662477Z { 2022-11-23T01:37:55.5662647Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:37:55.5663103Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93851402555296)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents == [5040]'], 2022-11-23T01:37:55.5663225Z 'obj_weakref': None 2022-11-23T01:37:55.5663500Z 'guarded_class': 2022-11-23T01:37:55.5663565Z } 2022-11-23T01:37:55.5663632Z 2022-11-23T01:37:55.5663704Z - 2022-11-23T01:37:55.5663878Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:37:55.5663942Z { 2022-11-23T01:37:55.5664089Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5664377Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents[0] == 5040'], 2022-11-23T01:37:55.5664497Z 'obj_weakref': None 2022-11-23T01:37:55.5664718Z 'guarded_class': 2022-11-23T01:37:55.5664782Z } 2022-11-23T01:37:55.5664832Z 2022-11-23T01:37:55.5665097Z [2022-11-23 01:36:27,027] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 430 2022-11-23T01:37:55.5665475Z [2022-11-23 01:36:27,035] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/uf/cuf7xu2fozon2fom3xcakcyrhvxjugd7p32xbocvkzizikd2ane7.py 2022-11-23T01:37:55.5665740Z [2022-11-23 01:36:27,035] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 430 2022-11-23T01:37:55.5665982Z [2022-11-23 01:36:27,039] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.5666254Z [2022-11-23 01:36:27,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.5666473Z [2022-11-23 01:36:27,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.5666729Z [2022-11-23 01:36:27,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.5667018Z [2022-11-23 01:36:27,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.5667334Z [2022-11-23 01:36:27,039] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.5667669Z [2022-11-23 01:36:27,040] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.5667763Z 943 0 LOAD_FAST 0 (x) 2022-11-23T01:37:55.5667852Z 2 LOAD_CONST 1 (1) 2022-11-23T01:37:55.5667926Z 4 BINARY_ADD 2022-11-23T01:37:55.5668018Z 6 LOAD_METHOD 0 (view) 2022-11-23T01:37:55.5668202Z 8 LOAD_DEREF 0 (size2) 2022-11-23T01:37:55.5668297Z 10 CALL_METHOD 1 2022-11-23T01:37:55.5668375Z 12 LOAD_FAST 1 (y) 2022-11-23T01:37:55.5668450Z 14 BINARY_ADD 2022-11-23T01:37:55.5668540Z 16 BUILD_TUPLE 1 2022-11-23T01:37:55.5668619Z 18 RETURN_VALUE 2022-11-23T01:37:55.5668680Z 2022-11-23T01:37:55.5668687Z 2022-11-23T01:37:55.5668965Z [2022-11-23 01:36:27,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:943 2022-11-23T01:37:55.5669216Z [2022-11-23 01:36:27,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.5669464Z [2022-11-23 01:36:27,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:37:55.5669734Z [2022-11-23 01:36:27,040] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.5669979Z [2022-11-23 01:36:27,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:37:55.5670262Z [2022-11-23 01:36:27,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:37:55.5670603Z [2022-11-23 01:36:27,041] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:37:55.5670843Z [2022-11-23 01:36:27,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:37:55.5671122Z [2022-11-23 01:36:27,042] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.5671366Z [2022-11-23 01:36:27,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.5671617Z [2022-11-23 01:36:27,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5671952Z [2022-11-23 01:36:27,043] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.5672196Z [2022-11-23 01:36:27,043] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5672424Z [2022-11-23 01:36:27,043] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.5672684Z [2022-11-23 01:36:27,045] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.5672937Z [2022-11-23 01:36:27,048] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.5673130Z [2022-11-23 01:36:27,048] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.5673263Z __compiled_fn_439 .3453 opcode, name, target, args, kwargs 2022-11-23T01:37:55.5673352Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.5673436Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.5673612Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:55.5673697Z call_method, view, view, (add, [5040]), {} 2022-11-23T01:37:55.5673879Z call_function, add_1, , (view, ex_1_), {} 2022-11-23T01:37:55.5673977Z output, output, output, ((add_1,),), {} 2022-11-23T01:37:55.5673983Z 2022-11-23T01:37:55.5674264Z [2022-11-23 01:36:27,049] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5674358Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5674449Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5674541Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.5674619Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.5674697Z 8 RETURN_VALUE 2022-11-23T01:37:55.5674702Z 2022-11-23T01:37:55.5674761Z 2022-11-23T01:37:55.5675035Z [2022-11-23 01:36:27,049] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5675144Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_439) 2022-11-23T01:37:55.5675233Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5675321Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5675401Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.5675476Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5675563Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.5675638Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.5675727Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.5675867Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5676000Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:55.5676095Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:55.5676170Z 22 CALL_FUNCTION 0 2022-11-23T01:37:55.5676265Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:55.5676367Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5676454Z 28 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5676534Z 30 BINARY_SUBSCR 2022-11-23T01:37:55.5676652Z 32 BUILD_TUPLE 1 2022-11-23T01:37:55.5676748Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5676845Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5676921Z 38 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5676998Z 40 BINARY_SUBSCR 2022-11-23T01:37:55.5677100Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5677190Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5677285Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5677370Z 48 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5677443Z 50 BINARY_SUBSCR 2022-11-23T01:37:55.5677530Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5677607Z 54 RETURN_VALUE 2022-11-23T01:37:55.5677612Z 2022-11-23T01:37:55.5677674Z 2022-11-23T01:37:55.5677863Z [2022-11-23 01:36:27,050] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.5677936Z - 2022-11-23T01:37:55.5678055Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.5678117Z { 2022-11-23T01:37:55.5678249Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.5678439Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.5678564Z 'obj_weakref': None 2022-11-23T01:37:55.5678793Z 'guarded_class': 2022-11-23T01:37:55.5678857Z } 2022-11-23T01:37:55.5678919Z 2022-11-23T01:37:55.5678989Z - 2022-11-23T01:37:55.5679102Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.5679165Z { 2022-11-23T01:37:55.5679311Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5679421Z 'code': None, 2022-11-23T01:37:55.5679640Z 'obj_weakref': 2022-11-23T01:37:55.5679899Z 'guarded_class': 2022-11-23T01:37:55.5679962Z } 2022-11-23T01:37:55.5680014Z 2022-11-23T01:37:55.5680084Z - 2022-11-23T01:37:55.5680209Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.5680274Z { 2022-11-23T01:37:55.5680419Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5680528Z 'code': None, 2022-11-23T01:37:55.5680744Z 'obj_weakref': 2022-11-23T01:37:55.5680987Z 'guarded_class': 2022-11-23T01:37:55.5681048Z } 2022-11-23T01:37:55.5681116Z 2022-11-23T01:37:55.5681188Z - 2022-11-23T01:37:55.5681319Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.5681385Z { 2022-11-23T01:37:55.5681520Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.5681677Z 'code': ['___check_obj_id(model, 140538441420240)'], 2022-11-23T01:37:55.5681797Z 'obj_weakref': None 2022-11-23T01:37:55.5682061Z 'guarded_class': 2022-11-23T01:37:55.5682124Z } 2022-11-23T01:37:55.5682187Z 2022-11-23T01:37:55.5682257Z - 2022-11-23T01:37:55.5682381Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.5682430Z { 2022-11-23T01:37:55.5682568Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.5682785Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.5682905Z 'obj_weakref': None 2022-11-23T01:37:55.5683127Z 'guarded_class': 2022-11-23T01:37:55.5683221Z } 2022-11-23T01:37:55.5683283Z 2022-11-23T01:37:55.5683341Z - 2022-11-23T01:37:55.5683521Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:37:55.5683584Z { 2022-11-23T01:37:55.5683753Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:37:55.5684206Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93851402555296)', 'len(model.__closure__[0].cell_contents) == 1', '___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents == [5040]'], 2022-11-23T01:37:55.5684328Z 'obj_weakref': None 2022-11-23T01:37:55.5684550Z 'guarded_class': 2022-11-23T01:37:55.5684612Z } 2022-11-23T01:37:55.5684661Z 2022-11-23T01:37:55.5684736Z - 2022-11-23T01:37:55.5684925Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:37:55.5684993Z { 2022-11-23T01:37:55.5685139Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5685432Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents[0] == 5040'], 2022-11-23T01:37:55.5685557Z 'obj_weakref': None 2022-11-23T01:37:55.5685766Z 'guarded_class': 2022-11-23T01:37:55.5685830Z } 2022-11-23T01:37:55.5685893Z 2022-11-23T01:37:55.5686159Z [2022-11-23 01:36:27,056] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 431 2022-11-23T01:37:55.5686536Z [2022-11-23 01:36:27,092] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ld/cld2hy5ycryo7jlvkyc7zqkklxnmod2zxpwhzmqp23dzfz6abuiu.py 2022-11-23T01:37:55.5686806Z [2022-11-23 01:36:27,092] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 431 2022-11-23T01:37:55.5687051Z [2022-11-23 01:36:27,096] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.5687324Z [2022-11-23 01:36:27,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.5687535Z [2022-11-23 01:36:27,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.5687793Z [2022-11-23 01:36:27,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.5688083Z [2022-11-23 01:36:27,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.5688414Z [2022-11-23 01:36:27,096] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.5688751Z [2022-11-23 01:36:27,097] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.5688849Z 940 0 LOAD_FAST 0 (x) 2022-11-23T01:37:55.5688943Z 2 LOAD_METHOD 0 (view) 2022-11-23T01:37:55.5689039Z 4 LOAD_DEREF 0 (size2) 2022-11-23T01:37:55.5689161Z 6 CALL_METHOD 1 2022-11-23T01:37:55.5689241Z 8 LOAD_FAST 1 (y) 2022-11-23T01:37:55.5689316Z 10 BINARY_ADD 2022-11-23T01:37:55.5689405Z 12 BUILD_TUPLE 1 2022-11-23T01:37:55.5689483Z 14 RETURN_VALUE 2022-11-23T01:37:55.5689547Z 2022-11-23T01:37:55.5689552Z 2022-11-23T01:37:55.5689824Z [2022-11-23 01:36:27,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:940 2022-11-23T01:37:55.5690038Z [2022-11-23 01:36:27,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.5690331Z [2022-11-23 01:36:27,097] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:37:55.5690604Z [2022-11-23 01:36:27,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:37:55.5690914Z [2022-11-23 01:36:27,098] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:37:55.5691157Z [2022-11-23 01:36:27,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:37:55.5691431Z [2022-11-23 01:36:27,099] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.5691676Z [2022-11-23 01:36:27,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.5691927Z [2022-11-23 01:36:27,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5692267Z [2022-11-23 01:36:27,100] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.5692517Z [2022-11-23 01:36:27,100] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5692760Z [2022-11-23 01:36:27,100] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.5693017Z [2022-11-23 01:36:27,101] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.5693258Z [2022-11-23 01:36:27,105] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.5693453Z [2022-11-23 01:36:27,105] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.5693589Z __compiled_fn_440 .3459 opcode, name, target, args, kwargs 2022-11-23T01:37:55.5693685Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.5693773Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.5693877Z call_method, view, view, (ex_0_, [6, 4, 5, 42]), {} 2022-11-23T01:37:55.5694058Z call_function, add, , (view, ex_1_), {} 2022-11-23T01:37:55.5694141Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.5694160Z 2022-11-23T01:37:55.5694429Z [2022-11-23 01:36:27,105] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5694525Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5694616Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5694708Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.5694801Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.5694879Z 8 RETURN_VALUE 2022-11-23T01:37:55.5694884Z 2022-11-23T01:37:55.5694943Z 2022-11-23T01:37:55.5695205Z [2022-11-23 01:36:27,105] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5695316Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_440) 2022-11-23T01:37:55.5695403Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5695492Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5695569Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.5695686Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5695775Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.5695838Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.5695925Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.5696029Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5696156Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:55.5696251Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:55.5696337Z 22 CALL_FUNCTION 0 2022-11-23T01:37:55.5696432Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:55.5696564Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5696639Z 28 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5696714Z 30 BINARY_SUBSCR 2022-11-23T01:37:55.5696803Z 32 BUILD_TUPLE 1 2022-11-23T01:37:55.5696899Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5696997Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5697086Z 38 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5697164Z 40 BINARY_SUBSCR 2022-11-23T01:37:55.5697254Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5697343Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5697439Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5697524Z 48 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5697600Z 50 BINARY_SUBSCR 2022-11-23T01:37:55.5697703Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5697777Z 54 RETURN_VALUE 2022-11-23T01:37:55.5697783Z 2022-11-23T01:37:55.5697829Z 2022-11-23T01:37:55.5698014Z [2022-11-23 01:36:27,107] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.5698086Z - 2022-11-23T01:37:55.5698208Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.5698273Z { 2022-11-23T01:37:55.5698416Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.5698605Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.5698713Z 'obj_weakref': None 2022-11-23T01:37:55.5699162Z 'guarded_class': 2022-11-23T01:37:55.5699231Z } 2022-11-23T01:37:55.5699293Z 2022-11-23T01:37:55.5699366Z - 2022-11-23T01:37:55.5699494Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.5699557Z { 2022-11-23T01:37:55.5699692Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5699801Z 'code': None, 2022-11-23T01:37:55.5700018Z 'obj_weakref': 2022-11-23T01:37:55.5700275Z 'guarded_class': 2022-11-23T01:37:55.5700339Z } 2022-11-23T01:37:55.5700402Z 2022-11-23T01:37:55.5700472Z - 2022-11-23T01:37:55.5700584Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.5700647Z { 2022-11-23T01:37:55.5700790Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5700898Z 'code': None, 2022-11-23T01:37:55.5701113Z 'obj_weakref': 2022-11-23T01:37:55.5701368Z 'guarded_class': 2022-11-23T01:37:55.5701433Z } 2022-11-23T01:37:55.5701494Z 2022-11-23T01:37:55.5701551Z - 2022-11-23T01:37:55.5701704Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.5701805Z { 2022-11-23T01:37:55.5702002Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.5702244Z 'code': ['___check_obj_id(model, 140538426411632)'], 2022-11-23T01:37:55.5702372Z 'obj_weakref': None 2022-11-23T01:37:55.5702593Z 'guarded_class': 2022-11-23T01:37:55.5702656Z } 2022-11-23T01:37:55.5702717Z 2022-11-23T01:37:55.5702788Z - 2022-11-23T01:37:55.5702912Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.5702974Z { 2022-11-23T01:37:55.5703112Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.5703318Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.5703479Z 'obj_weakref': None 2022-11-23T01:37:55.5703701Z 'guarded_class': 2022-11-23T01:37:55.5703763Z } 2022-11-23T01:37:55.5703830Z 2022-11-23T01:37:55.5703898Z - 2022-11-23T01:37:55.5704080Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:37:55.5704131Z { 2022-11-23T01:37:55.5704300Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:37:55.5705051Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93851402555296)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[2], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[3], 93851402553120)', 'model.__closure__[0].cell_contents == [6, 4, 5, 42]'], 2022-11-23T01:37:55.5705178Z 'obj_weakref': None 2022-11-23T01:37:55.5705399Z 'guarded_class': 2022-11-23T01:37:55.5705463Z } 2022-11-23T01:37:55.5705524Z 2022-11-23T01:37:55.5705594Z - 2022-11-23T01:37:55.5705784Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:37:55.5705836Z { 2022-11-23T01:37:55.5705985Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5706271Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents[0] == 6'], 2022-11-23T01:37:55.5706400Z 'obj_weakref': None 2022-11-23T01:37:55.5706623Z 'guarded_class': 2022-11-23T01:37:55.5706685Z } 2022-11-23T01:37:55.5706748Z 2022-11-23T01:37:55.5706805Z - 2022-11-23T01:37:55.5706992Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:37:55.5707056Z { 2022-11-23T01:37:55.5707199Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5707488Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents[1] == 4'], 2022-11-23T01:37:55.5707607Z 'obj_weakref': None 2022-11-23T01:37:55.5707830Z 'guarded_class': 2022-11-23T01:37:55.5707894Z } 2022-11-23T01:37:55.5707943Z 2022-11-23T01:37:55.5708012Z - 2022-11-23T01:37:55.5708293Z local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH 2022-11-23T01:37:55.5708359Z { 2022-11-23T01:37:55.5708511Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5708794Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 93851402553120)', 'model.__closure__[0].cell_contents[2] == 5'], 2022-11-23T01:37:55.5708920Z 'obj_weakref': None 2022-11-23T01:37:55.5709129Z 'guarded_class': 2022-11-23T01:37:55.5709194Z } 2022-11-23T01:37:55.5709294Z 2022-11-23T01:37:55.5709367Z - 2022-11-23T01:37:55.5709555Z local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH 2022-11-23T01:37:55.5709617Z { 2022-11-23T01:37:55.5709762Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5710035Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 93851402553120)', 'model.__closure__[0].cell_contents[3] == 42'], 2022-11-23T01:37:55.5710156Z 'obj_weakref': None 2022-11-23T01:37:55.5710378Z 'guarded_class': 2022-11-23T01:37:55.5710476Z } 2022-11-23T01:37:55.5710537Z 2022-11-23T01:37:55.5710802Z [2022-11-23 01:36:27,114] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 432 2022-11-23T01:37:55.5711176Z [2022-11-23 01:36:27,128] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3r/c3rvdl2mirrfkxxutsdr5yv573j6otx34bnx2fqshw7bvmczyf6o.py 2022-11-23T01:37:55.5711445Z [2022-11-23 01:36:27,128] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 432 2022-11-23T01:37:55.5711673Z [2022-11-23 01:36:27,131] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.5711943Z [2022-11-23 01:36:27,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.5712163Z [2022-11-23 01:36:27,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.5712421Z [2022-11-23 01:36:27,131] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.5712714Z [2022-11-23 01:36:27,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.5713043Z [2022-11-23 01:36:27,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.5713375Z [2022-11-23 01:36:27,132] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.5713467Z 943 0 LOAD_FAST 0 (x) 2022-11-23T01:37:55.5713561Z 2 LOAD_CONST 1 (1) 2022-11-23T01:37:55.5713622Z 4 BINARY_ADD 2022-11-23T01:37:55.5713717Z 6 LOAD_METHOD 0 (view) 2022-11-23T01:37:55.5713809Z 8 LOAD_DEREF 0 (size2) 2022-11-23T01:37:55.5713895Z 10 CALL_METHOD 1 2022-11-23T01:37:55.5713987Z 12 LOAD_FAST 1 (y) 2022-11-23T01:37:55.5714060Z 14 BINARY_ADD 2022-11-23T01:37:55.5714148Z 16 BUILD_TUPLE 1 2022-11-23T01:37:55.5714211Z 18 RETURN_VALUE 2022-11-23T01:37:55.5714268Z 2022-11-23T01:37:55.5714275Z 2022-11-23T01:37:55.5714551Z [2022-11-23 01:36:27,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:943 2022-11-23T01:37:55.5714765Z [2022-11-23 01:36:27,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.5715010Z [2022-11-23 01:36:27,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:37:55.5715294Z [2022-11-23 01:36:27,132] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.5715539Z [2022-11-23 01:36:27,133] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:37:55.5715825Z [2022-11-23 01:36:27,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:37:55.5716130Z [2022-11-23 01:36:27,134] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:37:55.5716395Z [2022-11-23 01:36:27,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:37:55.5716673Z [2022-11-23 01:36:27,135] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.5716916Z [2022-11-23 01:36:27,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.5717165Z [2022-11-23 01:36:27,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5717499Z [2022-11-23 01:36:27,136] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.5717781Z [2022-11-23 01:36:27,136] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5718020Z [2022-11-23 01:36:27,136] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.5718280Z [2022-11-23 01:36:27,137] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.5718530Z [2022-11-23 01:36:27,141] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.5718722Z [2022-11-23 01:36:27,141] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.5718846Z __compiled_fn_441 .3465 opcode, name, target, args, kwargs 2022-11-23T01:37:55.5718934Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.5719019Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.5719196Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:55.5719299Z call_method, view, view, (add, [6, 4, 5, 42]), {} 2022-11-23T01:37:55.5719486Z call_function, add_1, , (view, ex_1_), {} 2022-11-23T01:37:55.5719583Z output, output, output, ((add_1,),), {} 2022-11-23T01:37:55.5719589Z 2022-11-23T01:37:55.5719857Z [2022-11-23 01:36:27,142] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5719952Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5720041Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5720132Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.5720221Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.5720296Z 8 RETURN_VALUE 2022-11-23T01:37:55.5720301Z 2022-11-23T01:37:55.5720361Z 2022-11-23T01:37:55.5720637Z [2022-11-23 01:36:27,142] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5720735Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_441) 2022-11-23T01:37:55.5720824Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5720912Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5720989Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.5721079Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5721166Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.5721241Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.5721316Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.5721419Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5721546Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:55.5721643Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:55.5721730Z 22 CALL_FUNCTION 0 2022-11-23T01:37:55.5721825Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:55.5721927Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5722015Z 28 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5722078Z 30 BINARY_SUBSCR 2022-11-23T01:37:55.5722168Z 32 BUILD_TUPLE 1 2022-11-23T01:37:55.5722289Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5722389Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5722476Z 38 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5722550Z 40 BINARY_SUBSCR 2022-11-23T01:37:55.5722649Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5722727Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5722826Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5722910Z 48 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5722985Z 50 BINARY_SUBSCR 2022-11-23T01:37:55.5723128Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5723203Z 54 RETURN_VALUE 2022-11-23T01:37:55.5723208Z 2022-11-23T01:37:55.5723266Z 2022-11-23T01:37:55.5723445Z [2022-11-23 01:36:27,143] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.5723514Z - 2022-11-23T01:37:55.5723637Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.5723702Z { 2022-11-23T01:37:55.5723844Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.5724034Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.5724156Z 'obj_weakref': None 2022-11-23T01:37:55.5724368Z 'guarded_class': 2022-11-23T01:37:55.5724434Z } 2022-11-23T01:37:55.5724495Z 2022-11-23T01:37:55.5724570Z - 2022-11-23T01:37:55.5724697Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.5724762Z { 2022-11-23T01:37:55.5724907Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5725002Z 'code': None, 2022-11-23T01:37:55.5725217Z 'obj_weakref': 2022-11-23T01:37:55.5725475Z 'guarded_class': 2022-11-23T01:37:55.5725540Z } 2022-11-23T01:37:55.5725602Z 2022-11-23T01:37:55.5725675Z - 2022-11-23T01:37:55.5725801Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.5725851Z { 2022-11-23T01:37:55.5725997Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5726106Z 'code': None, 2022-11-23T01:37:55.5726322Z 'obj_weakref': 2022-11-23T01:37:55.5726577Z 'guarded_class': 2022-11-23T01:37:55.5726643Z } 2022-11-23T01:37:55.5726705Z 2022-11-23T01:37:55.5726764Z - 2022-11-23T01:37:55.5726897Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.5726961Z { 2022-11-23T01:37:55.5727096Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.5727272Z 'code': ['___check_obj_id(model, 140538441420240)'], 2022-11-23T01:37:55.5727394Z 'obj_weakref': None 2022-11-23T01:37:55.5727624Z 'guarded_class': 2022-11-23T01:37:55.5727675Z } 2022-11-23T01:37:55.5727738Z 2022-11-23T01:37:55.5727813Z - 2022-11-23T01:37:55.5727939Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.5728004Z { 2022-11-23T01:37:55.5728142Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.5728362Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.5728473Z 'obj_weakref': None 2022-11-23T01:37:55.5728698Z 'guarded_class': 2022-11-23T01:37:55.5728764Z } 2022-11-23T01:37:55.5728830Z 2022-11-23T01:37:55.5728902Z - 2022-11-23T01:37:55.5729115Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:37:55.5729181Z { 2022-11-23T01:37:55.5729340Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:37:55.5730084Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93851402555296)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[2], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[3], 93851402553120)', 'model.__closure__[0].cell_contents == [6, 4, 5, 42]'], 2022-11-23T01:37:55.5730240Z 'obj_weakref': None 2022-11-23T01:37:55.5730461Z 'guarded_class': 2022-11-23T01:37:55.5730526Z } 2022-11-23T01:37:55.5730589Z 2022-11-23T01:37:55.5730665Z - 2022-11-23T01:37:55.5730856Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:37:55.5730922Z { 2022-11-23T01:37:55.5731055Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5731346Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents[0] == 6'], 2022-11-23T01:37:55.5731469Z 'obj_weakref': None 2022-11-23T01:37:55.5731695Z 'guarded_class': 2022-11-23T01:37:55.5731763Z } 2022-11-23T01:37:55.5731831Z 2022-11-23T01:37:55.5731903Z - 2022-11-23T01:37:55.5732078Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:37:55.5732149Z { 2022-11-23T01:37:55.5732298Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5732585Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents[1] == 4'], 2022-11-23T01:37:55.5732708Z 'obj_weakref': None 2022-11-23T01:37:55.5732935Z 'guarded_class': 2022-11-23T01:37:55.5733000Z } 2022-11-23T01:37:55.5733051Z 2022-11-23T01:37:55.5733123Z - 2022-11-23T01:37:55.5733312Z local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH 2022-11-23T01:37:55.5733378Z { 2022-11-23T01:37:55.5733524Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5733812Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 93851402553120)', 'model.__closure__[0].cell_contents[2] == 5'], 2022-11-23T01:37:55.5733933Z 'obj_weakref': None 2022-11-23T01:37:55.5734155Z 'guarded_class': 2022-11-23T01:37:55.5734207Z } 2022-11-23T01:37:55.5734273Z 2022-11-23T01:37:55.5734348Z - 2022-11-23T01:37:55.5734536Z local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH 2022-11-23T01:37:55.5734601Z { 2022-11-23T01:37:55.5734744Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5735030Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 93851402553120)', 'model.__closure__[0].cell_contents[3] == 42'], 2022-11-23T01:37:55.5735138Z 'obj_weakref': None 2022-11-23T01:37:55.5735357Z 'guarded_class': 2022-11-23T01:37:55.5735426Z } 2022-11-23T01:37:55.5735491Z 2022-11-23T01:37:55.5735760Z [2022-11-23 01:36:27,150] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 433 2022-11-23T01:37:55.5735766Z 2022-11-23T01:37:55.5735770Z 2022-11-23T01:37:55.5735865Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.5735964Z import torch 2022-11-23T01:37:55.5736035Z import random 2022-11-23T01:37:55.5736139Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.5736260Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.5736265Z 2022-11-23T01:37:55.5736342Z aten = torch.ops.aten 2022-11-23T01:37:55.5736477Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.5736566Z async_compile = AsyncCompile() 2022-11-23T01:37:55.5736570Z 2022-11-23T01:37:55.5736575Z 2022-11-23T01:37:55.5736710Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.5736916Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.5737081Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.5737173Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.5737273Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.5737333Z { 2022-11-23T01:37:55.5737415Z for(long i0=0; i0<4; i0+=1) 2022-11-23T01:37:55.5737475Z { 2022-11-23T01:37:55.5737629Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.5737762Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.5737881Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:55.5737965Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5738047Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.5738135Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.5738197Z } 2022-11-23T01:37:55.5738288Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.5738368Z for(long i0=32; i0<35; i0+=1) 2022-11-23T01:37:55.5738417Z { 2022-11-23T01:37:55.5738497Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.5738578Z auto tmp3 = in_ptr1[i0]; 2022-11-23T01:37:55.5738674Z auto tmp1 = static_cast(1); 2022-11-23T01:37:55.5738915Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5739049Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.5739174Z out_ptr0[i0] = tmp4; 2022-11-23T01:37:55.5739229Z } 2022-11-23T01:37:55.5739292Z } 2022-11-23T01:37:55.5739376Z ''') 2022-11-23T01:37:55.5739381Z 2022-11-23T01:37:55.5739385Z 2022-11-23T01:37:55.5739474Z async_compile.wait(globals()) 2022-11-23T01:37:55.5739547Z del async_compile 2022-11-23T01:37:55.5739552Z 2022-11-23T01:37:55.5739624Z def call(args): 2022-11-23T01:37:55.5739701Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.5739759Z args.clear() 2022-11-23T01:37:55.5739958Z buf0 = empty_strided((35, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5740124Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.5740196Z del arg0_1 2022-11-23T01:37:55.5740262Z del arg1_1 2022-11-23T01:37:55.5740332Z return (buf0, ) 2022-11-23T01:37:55.5740337Z 2022-11-23T01:37:55.5740343Z 2022-11-23T01:37:55.5740418Z if __name__ == "__main__": 2022-11-23T01:37:55.5740532Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.5740642Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.5740840Z arg0_1 = rand_strided((5, 7), (7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5741036Z arg1_1 = rand_strided((35, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5741149Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.5741154Z 2022-11-23T01:37:55.5741158Z 2022-11-23T01:37:55.5741250Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.5741321Z import torch 2022-11-23T01:37:55.5741391Z import random 2022-11-23T01:37:55.5741493Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.5741611Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.5741616Z 2022-11-23T01:37:55.5741696Z aten = torch.ops.aten 2022-11-23T01:37:55.5741887Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.5741983Z async_compile = AsyncCompile() 2022-11-23T01:37:55.5741988Z 2022-11-23T01:37:55.5741992Z 2022-11-23T01:37:55.5742128Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.5742333Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.5742452Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.5742555Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.5742643Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.5742704Z { 2022-11-23T01:37:55.5742784Z for(long i0=0; i0<630; i0+=1) 2022-11-23T01:37:55.5742885Z { 2022-11-23T01:37:55.5743021Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.5743149Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.5743233Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5743310Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.5743369Z } 2022-11-23T01:37:55.5743457Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.5743539Z for(long i0=5040; i0<5040; i0+=1) 2022-11-23T01:37:55.5743599Z { 2022-11-23T01:37:55.5743678Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.5743759Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.5743826Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5743903Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.5743963Z } 2022-11-23T01:37:55.5744022Z } 2022-11-23T01:37:55.5744104Z ''') 2022-11-23T01:37:55.5744109Z 2022-11-23T01:37:55.5744114Z 2022-11-23T01:37:55.5744204Z async_compile.wait(globals()) 2022-11-23T01:37:55.5744276Z del async_compile 2022-11-23T01:37:55.5744281Z 2022-11-23T01:37:55.5744338Z def call(args): 2022-11-23T01:37:55.5744413Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.5744482Z args.clear() 2022-11-23T01:37:55.5744681Z buf0 = empty_strided((5040, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5744849Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.5744916Z del arg0_1 2022-11-23T01:37:55.5744980Z del arg1_1 2022-11-23T01:37:55.5745038Z return (buf0, ) 2022-11-23T01:37:55.5745044Z 2022-11-23T01:37:55.5745060Z 2022-11-23T01:37:55.5745123Z if __name__ == "__main__": 2022-11-23T01:37:55.5745235Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.5745358Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.5745591Z arg0_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5745792Z arg1_1 = rand_strided((5040, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5745906Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.5745911Z 2022-11-23T01:37:55.5745915Z 2022-11-23T01:37:55.5746008Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.5746064Z import torch 2022-11-23T01:37:55.5746136Z import random 2022-11-23T01:37:55.5746250Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.5746368Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.5746373Z 2022-11-23T01:37:55.5746449Z aten = torch.ops.aten 2022-11-23T01:37:55.5746580Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.5746669Z async_compile = AsyncCompile() 2022-11-23T01:37:55.5746674Z 2022-11-23T01:37:55.5746678Z 2022-11-23T01:37:55.5746814Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.5747006Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.5747128Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.5747230Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.5747329Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.5747389Z { 2022-11-23T01:37:55.5747500Z for(long i0=0; i0<630; i0+=1) 2022-11-23T01:37:55.5747562Z { 2022-11-23T01:37:55.5747694Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.5747810Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.5747940Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:55.5748023Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5748177Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.5748276Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.5748339Z } 2022-11-23T01:37:55.5748428Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.5748566Z for(long i0=5040; i0<5040; i0+=1) 2022-11-23T01:37:55.5748627Z { 2022-11-23T01:37:55.5748707Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.5748786Z auto tmp3 = in_ptr1[i0]; 2022-11-23T01:37:55.5748881Z auto tmp1 = static_cast(1); 2022-11-23T01:37:55.5748961Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5749046Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.5749110Z out_ptr0[i0] = tmp4; 2022-11-23T01:37:55.5749170Z } 2022-11-23T01:37:55.5749227Z } 2022-11-23T01:37:55.5749314Z ''') 2022-11-23T01:37:55.5749318Z 2022-11-23T01:37:55.5749322Z 2022-11-23T01:37:55.5749412Z async_compile.wait(globals()) 2022-11-23T01:37:55.5749483Z del async_compile 2022-11-23T01:37:55.5749488Z 2022-11-23T01:37:55.5749559Z def call(args): 2022-11-23T01:37:55.5749621Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.5749692Z args.clear() 2022-11-23T01:37:55.5749891Z buf0 = empty_strided((5040, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5750057Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.5750124Z del arg0_1 2022-11-23T01:37:55.5750191Z del arg1_1 2022-11-23T01:37:55.5750261Z return (buf0, ) 2022-11-23T01:37:55.5750266Z 2022-11-23T01:37:55.5750270Z 2022-11-23T01:37:55.5750345Z if __name__ == "__main__": 2022-11-23T01:37:55.5750449Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.5750572Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.5750810Z arg0_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5751011Z arg1_1 = rand_strided((5040, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5751126Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.5751131Z 2022-11-23T01:37:55.5751135Z 2022-11-23T01:37:55.5751228Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.5751300Z import torch 2022-11-23T01:37:55.5751357Z import random 2022-11-23T01:37:55.5751470Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.5751589Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.5751594Z 2022-11-23T01:37:55.5751671Z aten = torch.ops.aten 2022-11-23T01:37:55.5751805Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.5751894Z async_compile = AsyncCompile() 2022-11-23T01:37:55.5751899Z 2022-11-23T01:37:55.5751903Z 2022-11-23T01:37:55.5752039Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.5752242Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.5752359Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.5752452Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.5752549Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.5752610Z { 2022-11-23T01:37:55.5752692Z for(long i0=0; i0<630; i0+=1) 2022-11-23T01:37:55.5752754Z { 2022-11-23T01:37:55.5752887Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.5753017Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.5753087Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5753204Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.5753266Z } 2022-11-23T01:37:55.5753352Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.5753434Z for(long i0=5040; i0<5040; i0+=1) 2022-11-23T01:37:55.5753493Z { 2022-11-23T01:37:55.5753570Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.5753638Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.5753720Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5753797Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.5753854Z } 2022-11-23T01:37:55.5753912Z } 2022-11-23T01:37:55.5753993Z ''') 2022-11-23T01:37:55.5753998Z 2022-11-23T01:37:55.5754002Z 2022-11-23T01:37:55.5754121Z async_compile.wait(globals()) 2022-11-23T01:37:55.5754180Z del async_compile 2022-11-23T01:37:55.5754185Z 2022-11-23T01:37:55.5754253Z def call(args): 2022-11-23T01:37:55.5754328Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.5754400Z args.clear() 2022-11-23T01:37:55.5754619Z buf0 = empty_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5754784Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.5754851Z del arg0_1 2022-11-23T01:37:55.5754904Z del arg1_1 2022-11-23T01:37:55.5754972Z return (buf0, ) 2022-11-23T01:37:55.5754977Z 2022-11-23T01:37:55.5754981Z 2022-11-23T01:37:55.5755055Z if __name__ == "__main__": 2022-11-23T01:37:55.5755169Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.5755292Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.5755529Z arg0_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5755751Z arg1_1 = rand_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5755865Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.5755870Z 2022-11-23T01:37:55.5755874Z 2022-11-23T01:37:55.5755965Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.5756024Z import torch 2022-11-23T01:37:55.5756094Z import random 2022-11-23T01:37:55.5756206Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.5756327Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.5756332Z 2022-11-23T01:37:55.5756408Z aten = torch.ops.aten 2022-11-23T01:37:55.5756541Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.5756631Z async_compile = AsyncCompile() 2022-11-23T01:37:55.5756636Z 2022-11-23T01:37:55.5756640Z 2022-11-23T01:37:55.5756762Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.5756966Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.5757087Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.5757190Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.5757289Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.5757348Z { 2022-11-23T01:37:55.5757432Z for(long i0=0; i0<630; i0+=1) 2022-11-23T01:37:55.5757492Z { 2022-11-23T01:37:55.5757613Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.5757741Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.5757868Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:55.5757950Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5758029Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.5758118Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.5758180Z } 2022-11-23T01:37:55.5758254Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.5758336Z for(long i0=5040; i0<5040; i0+=1) 2022-11-23T01:37:55.5758396Z { 2022-11-23T01:37:55.5758477Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.5758558Z auto tmp3 = in_ptr1[i0]; 2022-11-23T01:37:55.5758652Z auto tmp1 = static_cast(1); 2022-11-23T01:37:55.5758759Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5758828Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.5758905Z out_ptr0[i0] = tmp4; 2022-11-23T01:37:55.5758964Z } 2022-11-23T01:37:55.5759020Z } 2022-11-23T01:37:55.5759102Z ''') 2022-11-23T01:37:55.5759107Z 2022-11-23T01:37:55.5759112Z 2022-11-23T01:37:55.5759199Z async_compile.wait(globals()) 2022-11-23T01:37:55.5759271Z del async_compile 2022-11-23T01:37:55.5759276Z 2022-11-23T01:37:55.5759332Z def call(args): 2022-11-23T01:37:55.5759405Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.5759474Z args.clear() 2022-11-23T01:37:55.5759695Z buf0 = empty_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5759886Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.5759954Z del arg0_1 2022-11-23T01:37:55.5760023Z del arg1_1 2022-11-23T01:37:55.5760083Z return (buf0, ) 2022-11-23T01:37:55.5760101Z 2022-11-23T01:37:55.5760105Z 2022-11-23T01:37:55.5760170Z if __name__ == "__main__": 2022-11-23T01:37:55.5760284Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.5760411Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.5760652Z arg0_1 = rand_strided((2, 3, 4, 5, 6, 7), (2520, 840, 210, 42, 7, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5760871Z arg1_1 = rand_strided((6, 4, 5, 42), (840, 210, 42, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5760986Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.5761363Z [2022-11-23 01:36:27,208] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yw/cywkfrvkikpu35g2c55n7mqjsi42dtrir5ojkasczunxpgynmvdy.py 2022-11-23T01:37:55.5761636Z [2022-11-23 01:36:27,208] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 433 2022-11-23T01:37:55.5761865Z [2022-11-23 01:36:27,212] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.5762140Z [2022-11-23 01:36:27,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.5762365Z [2022-11-23 01:36:27,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.5762623Z [2022-11-23 01:36:27,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.5762911Z [2022-11-23 01:36:27,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.5763237Z [2022-11-23 01:36:27,212] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.5763575Z [2022-11-23 01:36:27,212] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.5763671Z 940 0 LOAD_FAST 0 (x) 2022-11-23T01:37:55.5763771Z 2 LOAD_METHOD 0 (view) 2022-11-23T01:37:55.5763852Z 4 LOAD_DEREF 0 (size2) 2022-11-23T01:37:55.5763940Z 6 CALL_METHOD 1 2022-11-23T01:37:55.5764030Z 8 LOAD_FAST 1 (y) 2022-11-23T01:37:55.5764106Z 10 BINARY_ADD 2022-11-23T01:37:55.5764200Z 12 BUILD_TUPLE 1 2022-11-23T01:37:55.5764277Z 14 RETURN_VALUE 2022-11-23T01:37:55.5764340Z 2022-11-23T01:37:55.5764345Z 2022-11-23T01:37:55.5764600Z [2022-11-23 01:36:27,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:940 2022-11-23T01:37:55.5764818Z [2022-11-23 01:36:27,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.5765063Z [2022-11-23 01:36:27,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:37:55.5765382Z [2022-11-23 01:36:27,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:37:55.5765696Z [2022-11-23 01:36:27,213] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:37:55.5765937Z [2022-11-23 01:36:27,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:37:55.5766213Z [2022-11-23 01:36:27,214] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.5766463Z [2022-11-23 01:36:27,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.5766746Z [2022-11-23 01:36:27,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5767082Z [2022-11-23 01:36:27,215] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.5767321Z [2022-11-23 01:36:27,215] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5767558Z [2022-11-23 01:36:27,215] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.5767815Z [2022-11-23 01:36:27,216] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.5768072Z [2022-11-23 01:36:27,219] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.5768265Z [2022-11-23 01:36:27,220] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.5768405Z __compiled_fn_442 .3471 opcode, name, target, args, kwargs 2022-11-23T01:37:55.5768497Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.5768584Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.5768673Z call_method, view, view, (ex_0_, [50, 20]), {} 2022-11-23T01:37:55.5768858Z call_function, add, , (view, ex_1_), {} 2022-11-23T01:37:55.5768956Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.5768961Z 2022-11-23T01:37:55.5769244Z [2022-11-23 01:36:27,220] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5769340Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5769431Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5769521Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.5769610Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.5769674Z 8 RETURN_VALUE 2022-11-23T01:37:55.5769682Z 2022-11-23T01:37:55.5769747Z 2022-11-23T01:37:55.5770021Z [2022-11-23 01:36:27,220] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5770131Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_442) 2022-11-23T01:37:55.5770221Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5770312Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5770392Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.5770468Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5770557Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.5770633Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.5770719Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.5770822Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5770948Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:55.5771045Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:55.5771132Z 22 CALL_FUNCTION 0 2022-11-23T01:37:55.5771213Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:55.5771314Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5771399Z 28 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5771504Z 30 BINARY_SUBSCR 2022-11-23T01:37:55.5771592Z 32 BUILD_TUPLE 1 2022-11-23T01:37:55.5771685Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5771783Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5771858Z 38 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5771934Z 40 BINARY_SUBSCR 2022-11-23T01:37:55.5772033Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5772123Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5772218Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5772338Z 48 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5772411Z 50 BINARY_SUBSCR 2022-11-23T01:37:55.5772499Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5772576Z 54 RETURN_VALUE 2022-11-23T01:37:55.5772581Z 2022-11-23T01:37:55.5772640Z 2022-11-23T01:37:55.5772828Z [2022-11-23 01:36:27,221] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.5772900Z - 2022-11-23T01:37:55.5773023Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.5773088Z { 2022-11-23T01:37:55.5773217Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.5773405Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.5773527Z 'obj_weakref': None 2022-11-23T01:37:55.5773755Z 'guarded_class': 2022-11-23T01:37:55.5773825Z } 2022-11-23T01:37:55.5773887Z 2022-11-23T01:37:55.5773959Z - 2022-11-23T01:37:55.5774072Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.5774136Z { 2022-11-23T01:37:55.5774282Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5774389Z 'code': None, 2022-11-23T01:37:55.5774607Z 'obj_weakref': 2022-11-23T01:37:55.5774863Z 'guarded_class': 2022-11-23T01:37:55.5774926Z } 2022-11-23T01:37:55.5774990Z 2022-11-23T01:37:55.5775049Z - 2022-11-23T01:37:55.5775174Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.5775237Z { 2022-11-23T01:37:55.5775381Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5775488Z 'code': None, 2022-11-23T01:37:55.5775703Z 'obj_weakref': 2022-11-23T01:37:55.5775963Z 'guarded_class': 2022-11-23T01:37:55.5776014Z } 2022-11-23T01:37:55.5776076Z 2022-11-23T01:37:55.5776150Z - 2022-11-23T01:37:55.5776286Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.5776349Z { 2022-11-23T01:37:55.5776484Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.5776643Z 'code': ['___check_obj_id(model, 140538426411632)'], 2022-11-23T01:37:55.5776765Z 'obj_weakref': None 2022-11-23T01:37:55.5776994Z 'guarded_class': 2022-11-23T01:37:55.5777058Z } 2022-11-23T01:37:55.5777121Z 2022-11-23T01:37:55.5777190Z - 2022-11-23T01:37:55.5777315Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.5777365Z { 2022-11-23T01:37:55.5777506Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.5777724Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.5777844Z 'obj_weakref': None 2022-11-23T01:37:55.5778094Z 'guarded_class': 2022-11-23T01:37:55.5778158Z } 2022-11-23T01:37:55.5778221Z 2022-11-23T01:37:55.5778281Z - 2022-11-23T01:37:55.5778461Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:37:55.5778524Z { 2022-11-23T01:37:55.5778694Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:37:55.5779467Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93851402555296)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents == [50, 20]'], 2022-11-23T01:37:55.5779670Z 'obj_weakref': None 2022-11-23T01:37:55.5779898Z 'guarded_class': 2022-11-23T01:37:55.5779960Z } 2022-11-23T01:37:55.5780009Z 2022-11-23T01:37:55.5780082Z - 2022-11-23T01:37:55.5780269Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:37:55.5780334Z { 2022-11-23T01:37:55.5780477Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5780765Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents[0] == 50'], 2022-11-23T01:37:55.5780885Z 'obj_weakref': None 2022-11-23T01:37:55.5781110Z 'guarded_class': 2022-11-23T01:37:55.5781164Z } 2022-11-23T01:37:55.5781224Z 2022-11-23T01:37:55.5781294Z - 2022-11-23T01:37:55.5781480Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:37:55.5781542Z { 2022-11-23T01:37:55.5781686Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5781975Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents[1] == 20'], 2022-11-23T01:37:55.5782086Z 'obj_weakref': None 2022-11-23T01:37:55.5782310Z 'guarded_class': 2022-11-23T01:37:55.5782374Z } 2022-11-23T01:37:55.5782434Z 2022-11-23T01:37:55.5782696Z [2022-11-23 01:36:27,226] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 434 2022-11-23T01:37:55.5783073Z [2022-11-23 01:36:27,236] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pf/cpfenupw7fbukatjekw3zm5ha5yfvp7laq6aekkboei6kvzcyuxf.py 2022-11-23T01:37:55.5783345Z [2022-11-23 01:36:27,236] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 434 2022-11-23T01:37:55.5783590Z [2022-11-23 01:36:27,239] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.5783849Z [2022-11-23 01:36:27,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.5784069Z [2022-11-23 01:36:27,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.5784324Z [2022-11-23 01:36:27,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.5784614Z [2022-11-23 01:36:27,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.5784941Z [2022-11-23 01:36:27,239] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.5785277Z [2022-11-23 01:36:27,240] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.5785373Z 943 0 LOAD_FAST 0 (x) 2022-11-23T01:37:55.5785502Z 2 LOAD_CONST 1 (1) 2022-11-23T01:37:55.5785579Z 4 BINARY_ADD 2022-11-23T01:37:55.5785660Z 6 LOAD_METHOD 0 (view) 2022-11-23T01:37:55.5785752Z 8 LOAD_DEREF 0 (size2) 2022-11-23T01:37:55.5785837Z 10 CALL_METHOD 1 2022-11-23T01:37:55.5785926Z 12 LOAD_FAST 1 (y) 2022-11-23T01:37:55.5785997Z 14 BINARY_ADD 2022-11-23T01:37:55.5786086Z 16 BUILD_TUPLE 1 2022-11-23T01:37:55.5786161Z 18 RETURN_VALUE 2022-11-23T01:37:55.5786209Z 2022-11-23T01:37:55.5786244Z 2022-11-23T01:37:55.5786516Z [2022-11-23 01:36:27,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:943 2022-11-23T01:37:55.5786730Z [2022-11-23 01:36:27,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.5786976Z [2022-11-23 01:36:27,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:37:55.5787260Z [2022-11-23 01:36:27,240] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.5787504Z [2022-11-23 01:36:27,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:37:55.5787791Z [2022-11-23 01:36:27,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:37:55.5788163Z [2022-11-23 01:36:27,241] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:37:55.5788422Z [2022-11-23 01:36:27,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:37:55.5788684Z [2022-11-23 01:36:27,242] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.5788930Z [2022-11-23 01:36:27,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.5789177Z [2022-11-23 01:36:27,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5789510Z [2022-11-23 01:36:27,243] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.5789759Z [2022-11-23 01:36:27,243] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5789995Z [2022-11-23 01:36:27,243] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.5790257Z [2022-11-23 01:36:27,245] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.5790509Z [2022-11-23 01:36:27,248] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.5790702Z [2022-11-23 01:36:27,248] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.5790838Z __compiled_fn_443 .3477 opcode, name, target, args, kwargs 2022-11-23T01:37:55.5790915Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.5791001Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.5791179Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:55.5791281Z call_method, view, view, (add, [50, 20]), {} 2022-11-23T01:37:55.5791464Z call_function, add_1, , (view, ex_1_), {} 2022-11-23T01:37:55.5791560Z output, output, output, ((add_1,),), {} 2022-11-23T01:37:55.5791566Z 2022-11-23T01:37:55.5791846Z [2022-11-23 01:36:27,249] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5791929Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5792019Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5792110Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.5792231Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.5792308Z 8 RETURN_VALUE 2022-11-23T01:37:55.5792314Z 2022-11-23T01:37:55.5792373Z 2022-11-23T01:37:55.5792651Z [2022-11-23 01:36:27,249] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5792760Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_443) 2022-11-23T01:37:55.5792837Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5792927Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5793003Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.5793121Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5793208Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.5793282Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.5793369Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.5793461Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5793590Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:55.5793686Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:55.5793776Z 22 CALL_FUNCTION 0 2022-11-23T01:37:55.5793871Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:55.5793971Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5794058Z 28 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5794122Z 30 BINARY_SUBSCR 2022-11-23T01:37:55.5794210Z 32 BUILD_TUPLE 1 2022-11-23T01:37:55.5794301Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5794400Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5794487Z 38 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5794559Z 40 BINARY_SUBSCR 2022-11-23T01:37:55.5794659Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5794751Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5794835Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5794920Z 48 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5794994Z 50 BINARY_SUBSCR 2022-11-23T01:37:55.5795094Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5795168Z 54 RETURN_VALUE 2022-11-23T01:37:55.5795174Z 2022-11-23T01:37:55.5795233Z 2022-11-23T01:37:55.5795421Z [2022-11-23 01:36:27,250] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.5795481Z - 2022-11-23T01:37:55.5795604Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.5795669Z { 2022-11-23T01:37:55.5795812Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.5796002Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.5796129Z 'obj_weakref': None 2022-11-23T01:37:55.5796358Z 'guarded_class': 2022-11-23T01:37:55.5796412Z } 2022-11-23T01:37:55.5796473Z 2022-11-23T01:37:55.5796544Z - 2022-11-23T01:37:55.5796673Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.5796736Z { 2022-11-23T01:37:55.5796879Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5796989Z 'code': None, 2022-11-23T01:37:55.5797193Z 'obj_weakref': 2022-11-23T01:37:55.5797446Z 'guarded_class': 2022-11-23T01:37:55.5797513Z } 2022-11-23T01:37:55.5797575Z 2022-11-23T01:37:55.5797646Z - 2022-11-23T01:37:55.5797770Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.5797832Z { 2022-11-23T01:37:55.5797963Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5798102Z 'code': None, 2022-11-23T01:37:55.5798320Z 'obj_weakref': 2022-11-23T01:37:55.5798577Z 'guarded_class': 2022-11-23T01:37:55.5798642Z } 2022-11-23T01:37:55.5798705Z 2022-11-23T01:37:55.5798776Z - 2022-11-23T01:37:55.5798896Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.5798959Z { 2022-11-23T01:37:55.5799097Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.5799304Z 'code': ['___check_obj_id(model, 140538441420240)'], 2022-11-23T01:37:55.5799423Z 'obj_weakref': None 2022-11-23T01:37:55.5799656Z 'guarded_class': 2022-11-23T01:37:55.5799718Z } 2022-11-23T01:37:55.5799768Z 2022-11-23T01:37:55.5799837Z - 2022-11-23T01:37:55.5799963Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.5800025Z { 2022-11-23T01:37:55.5800163Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.5800382Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.5800504Z 'obj_weakref': None 2022-11-23T01:37:55.5800713Z 'guarded_class': 2022-11-23T01:37:55.5800777Z } 2022-11-23T01:37:55.5800840Z 2022-11-23T01:37:55.5800911Z - 2022-11-23T01:37:55.5801093Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:37:55.5801156Z { 2022-11-23T01:37:55.5801325Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:37:55.5801863Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93851402555296)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents == [50, 20]'], 2022-11-23T01:37:55.5801985Z 'obj_weakref': None 2022-11-23T01:37:55.5802207Z 'guarded_class': 2022-11-23T01:37:55.5802271Z } 2022-11-23T01:37:55.5802335Z 2022-11-23T01:37:55.5802443Z - 2022-11-23T01:37:55.5802722Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:37:55.5802797Z { 2022-11-23T01:37:55.5802934Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5803227Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents[0] == 50'], 2022-11-23T01:37:55.5803351Z 'obj_weakref': None 2022-11-23T01:37:55.5803578Z 'guarded_class': 2022-11-23T01:37:55.5803644Z } 2022-11-23T01:37:55.5803709Z 2022-11-23T01:37:55.5803783Z - 2022-11-23T01:37:55.5803958Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:37:55.5804025Z { 2022-11-23T01:37:55.5804170Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5804456Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents[1] == 20'], 2022-11-23T01:37:55.5804578Z 'obj_weakref': None 2022-11-23T01:37:55.5804805Z 'guarded_class': 2022-11-23T01:37:55.5804870Z } 2022-11-23T01:37:55.5804934Z 2022-11-23T01:37:55.5805188Z [2022-11-23 01:36:27,256] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 435 2022-11-23T01:37:55.5805602Z [2022-11-23 01:36:27,282] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ac/cackdm46vhvoa36qilaga6lhqzlpjqennxoricgpivg5cys2vk3b.py 2022-11-23T01:37:55.5805877Z [2022-11-23 01:36:27,282] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 435 2022-11-23T01:37:55.5806120Z [2022-11-23 01:36:27,285] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.5806393Z [2022-11-23 01:36:27,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.5806616Z [2022-11-23 01:36:27,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.5806907Z [2022-11-23 01:36:27,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.5807202Z [2022-11-23 01:36:27,285] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.5807535Z [2022-11-23 01:36:27,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.5807854Z [2022-11-23 01:36:27,286] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.5807951Z 940 0 LOAD_FAST 0 (x) 2022-11-23T01:37:55.5808052Z 2 LOAD_METHOD 0 (view) 2022-11-23T01:37:55.5808147Z 4 LOAD_DEREF 0 (size2) 2022-11-23T01:37:55.5808237Z 6 CALL_METHOD 1 2022-11-23T01:37:55.5808331Z 8 LOAD_FAST 1 (y) 2022-11-23T01:37:55.5808406Z 10 BINARY_ADD 2022-11-23T01:37:55.5808498Z 12 BUILD_TUPLE 1 2022-11-23T01:37:55.5808561Z 14 RETURN_VALUE 2022-11-23T01:37:55.5808623Z 2022-11-23T01:37:55.5808629Z 2022-11-23T01:37:55.5808902Z [2022-11-23 01:36:27,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:940 2022-11-23T01:37:55.5809116Z [2022-11-23 01:36:27,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.5809364Z [2022-11-23 01:36:27,286] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:37:55.5809650Z [2022-11-23 01:36:27,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:37:55.5809957Z [2022-11-23 01:36:27,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:37:55.5810203Z [2022-11-23 01:36:27,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:37:55.5810480Z [2022-11-23 01:36:27,287] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.5810715Z [2022-11-23 01:36:27,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.5810966Z [2022-11-23 01:36:27,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5811305Z [2022-11-23 01:36:27,288] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.5811556Z [2022-11-23 01:36:27,288] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5811799Z [2022-11-23 01:36:27,289] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.5812059Z [2022-11-23 01:36:27,290] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.5812314Z [2022-11-23 01:36:27,293] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.5812540Z [2022-11-23 01:36:27,293] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.5812680Z __compiled_fn_444 .3483 opcode, name, target, args, kwargs 2022-11-23T01:37:55.5812759Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.5812848Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.5812950Z call_method, view, view, (ex_0_, [1, 10, 1]), {} 2022-11-23T01:37:55.5813131Z call_function, add, , (view, ex_1_), {} 2022-11-23T01:37:55.5813228Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.5813234Z 2022-11-23T01:37:55.5813509Z [2022-11-23 01:36:27,294] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5813636Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5813713Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5813805Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.5813896Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.5813971Z 8 RETURN_VALUE 2022-11-23T01:37:55.5813977Z 2022-11-23T01:37:55.5814036Z 2022-11-23T01:37:55.5814309Z [2022-11-23 01:36:27,294] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5814417Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_444) 2022-11-23T01:37:55.5814509Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5814585Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5814659Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.5814745Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5814834Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.5814912Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.5814999Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.5815104Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5815222Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:55.5815318Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:55.5815404Z 22 CALL_FUNCTION 0 2022-11-23T01:37:55.5815499Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:55.5815601Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5815689Z 28 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5815765Z 30 BINARY_SUBSCR 2022-11-23T01:37:55.5815840Z 32 BUILD_TUPLE 1 2022-11-23T01:37:55.5815930Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5816030Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5816117Z 38 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5816190Z 40 BINARY_SUBSCR 2022-11-23T01:37:55.5816288Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5816380Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5816474Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5816548Z 48 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5816626Z 50 BINARY_SUBSCR 2022-11-23T01:37:55.5816725Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5816800Z 54 RETURN_VALUE 2022-11-23T01:37:55.5816805Z 2022-11-23T01:37:55.5816864Z 2022-11-23T01:37:55.5817050Z [2022-11-23 01:36:27,295] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.5817122Z - 2022-11-23T01:37:55.5817231Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.5817298Z { 2022-11-23T01:37:55.5817442Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.5817632Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.5817755Z 'obj_weakref': None 2022-11-23T01:37:55.5818019Z 'guarded_class': 2022-11-23T01:37:55.5818083Z } 2022-11-23T01:37:55.5818133Z 2022-11-23T01:37:55.5818203Z - 2022-11-23T01:37:55.5818330Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.5818392Z { 2022-11-23T01:37:55.5818537Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5818647Z 'code': None, 2022-11-23T01:37:55.5819082Z 'obj_weakref': 2022-11-23T01:37:55.5819361Z 'guarded_class': 2022-11-23T01:37:55.5819483Z } 2022-11-23T01:37:55.5819545Z 2022-11-23T01:37:55.5819619Z - 2022-11-23T01:37:55.5819745Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.5819807Z { 2022-11-23T01:37:55.5819950Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5820048Z 'code': None, 2022-11-23T01:37:55.5820262Z 'obj_weakref': 2022-11-23T01:37:55.5820516Z 'guarded_class': 2022-11-23T01:37:55.5820588Z } 2022-11-23T01:37:55.5820649Z 2022-11-23T01:37:55.5820719Z - 2022-11-23T01:37:55.5820851Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.5820901Z { 2022-11-23T01:37:55.5821036Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.5821207Z 'code': ['___check_obj_id(model, 140538426411632)'], 2022-11-23T01:37:55.5821335Z 'obj_weakref': None 2022-11-23T01:37:55.5821570Z 'guarded_class': 2022-11-23T01:37:55.5821633Z } 2022-11-23T01:37:55.5821696Z 2022-11-23T01:37:55.5821754Z - 2022-11-23T01:37:55.5821884Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.5821947Z { 2022-11-23T01:37:55.5822086Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.5822304Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.5822424Z 'obj_weakref': None 2022-11-23T01:37:55.5822646Z 'guarded_class': 2022-11-23T01:37:55.5822697Z } 2022-11-23T01:37:55.5822757Z 2022-11-23T01:37:55.5822826Z - 2022-11-23T01:37:55.5823006Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:37:55.5823071Z { 2022-11-23T01:37:55.5823242Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:37:55.5823888Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93851402555296)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[2], 93851402553120)', 'model.__closure__[0].cell_contents == [1, 10, 1]'], 2022-11-23T01:37:55.5824012Z 'obj_weakref': None 2022-11-23T01:37:55.5824221Z 'guarded_class': 2022-11-23T01:37:55.5824286Z } 2022-11-23T01:37:55.5824352Z 2022-11-23T01:37:55.5824425Z - 2022-11-23T01:37:55.5824613Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:37:55.5824677Z { 2022-11-23T01:37:55.5824821Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5825091Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents[0] == 1'], 2022-11-23T01:37:55.5825253Z 'obj_weakref': None 2022-11-23T01:37:55.5825480Z 'guarded_class': 2022-11-23T01:37:55.5825542Z } 2022-11-23T01:37:55.5825605Z 2022-11-23T01:37:55.5825676Z - 2022-11-23T01:37:55.5825862Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:37:55.5825925Z { 2022-11-23T01:37:55.5826058Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5826345Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents[1] == 10'], 2022-11-23T01:37:55.5826513Z 'obj_weakref': None 2022-11-23T01:37:55.5826737Z 'guarded_class': 2022-11-23T01:37:55.5826799Z } 2022-11-23T01:37:55.5826861Z 2022-11-23T01:37:55.5826931Z - 2022-11-23T01:37:55.5827107Z local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH 2022-11-23T01:37:55.5827171Z { 2022-11-23T01:37:55.5827315Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5827599Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 93851402553120)', 'model.__closure__[0].cell_contents[2] == 1'], 2022-11-23T01:37:55.5827719Z 'obj_weakref': None 2022-11-23T01:37:55.5827941Z 'guarded_class': 2022-11-23T01:37:55.5828004Z } 2022-11-23T01:37:55.5828053Z 2022-11-23T01:37:55.5828407Z [2022-11-23 01:36:27,300] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 436 2022-11-23T01:37:55.5828784Z [2022-11-23 01:36:27,308] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/oq/coq4quikjcytwbgxc4bv4vdcmwiljlufub6yfjiti6fz6aqg6fpi.py 2022-11-23T01:37:55.5829057Z [2022-11-23 01:36:27,308] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 436 2022-11-23T01:37:55.5829299Z [2022-11-23 01:36:27,311] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.5829570Z [2022-11-23 01:36:27,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.5829791Z [2022-11-23 01:36:27,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.5830047Z [2022-11-23 01:36:27,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.5830338Z [2022-11-23 01:36:27,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.5830654Z [2022-11-23 01:36:27,311] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.5830988Z [2022-11-23 01:36:27,312] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.5831085Z 943 0 LOAD_FAST 0 (x) 2022-11-23T01:37:55.5831176Z 2 LOAD_CONST 1 (1) 2022-11-23T01:37:55.5831249Z 4 BINARY_ADD 2022-11-23T01:37:55.5831347Z 6 LOAD_METHOD 0 (view) 2022-11-23T01:37:55.5831440Z 8 LOAD_DEREF 0 (size2) 2022-11-23T01:37:55.5831524Z 10 CALL_METHOD 1 2022-11-23T01:37:55.5831601Z 12 LOAD_FAST 1 (y) 2022-11-23T01:37:55.5831677Z 14 BINARY_ADD 2022-11-23T01:37:55.5831764Z 16 BUILD_TUPLE 1 2022-11-23T01:37:55.5831839Z 18 RETURN_VALUE 2022-11-23T01:37:55.5831897Z 2022-11-23T01:37:55.5831903Z 2022-11-23T01:37:55.5832171Z [2022-11-23 01:36:27,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:943 2022-11-23T01:37:55.5832429Z [2022-11-23 01:36:27,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.5832677Z [2022-11-23 01:36:27,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:37:55.5832949Z [2022-11-23 01:36:27,312] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.5833193Z [2022-11-23 01:36:27,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:37:55.5833477Z [2022-11-23 01:36:27,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:37:55.5833816Z [2022-11-23 01:36:27,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:37:55.5834056Z [2022-11-23 01:36:27,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:37:55.5834334Z [2022-11-23 01:36:27,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.5834579Z [2022-11-23 01:36:27,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.5834825Z [2022-11-23 01:36:27,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5835157Z [2022-11-23 01:36:27,315] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.5835404Z [2022-11-23 01:36:27,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5835628Z [2022-11-23 01:36:27,316] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.5835882Z [2022-11-23 01:36:27,317] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.5836136Z [2022-11-23 01:36:27,320] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.5836328Z [2022-11-23 01:36:27,321] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.5836461Z __compiled_fn_445 .3489 opcode, name, target, args, kwargs 2022-11-23T01:37:55.5836550Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.5836636Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.5836812Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:55.5836900Z call_method, view, view, (add, [1, 10, 1]), {} 2022-11-23T01:37:55.5837085Z call_function, add_1, , (view, ex_1_), {} 2022-11-23T01:37:55.5837179Z output, output, output, ((add_1,),), {} 2022-11-23T01:37:55.5837184Z 2022-11-23T01:37:55.5837465Z [2022-11-23 01:36:27,321] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5837561Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5837650Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5837743Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.5837832Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.5837895Z 8 RETURN_VALUE 2022-11-23T01:37:55.5837900Z 2022-11-23T01:37:55.5837959Z 2022-11-23T01:37:55.5838232Z [2022-11-23 01:36:27,321] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5838339Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_445) 2022-11-23T01:37:55.5838432Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5838519Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5838594Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.5838670Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5838754Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.5838859Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.5838948Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.5839052Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5839180Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:55.5839275Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:55.5839350Z 22 CALL_FUNCTION 0 2022-11-23T01:37:55.5839445Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:55.5839545Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5839665Z 28 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5839740Z 30 BINARY_SUBSCR 2022-11-23T01:37:55.5839828Z 32 BUILD_TUPLE 1 2022-11-23T01:37:55.5839918Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5840017Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5840094Z 38 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5840170Z 40 BINARY_SUBSCR 2022-11-23T01:37:55.5840271Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5840360Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5840456Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5840541Z 48 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5840615Z 50 BINARY_SUBSCR 2022-11-23T01:37:55.5840701Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5840775Z 54 RETURN_VALUE 2022-11-23T01:37:55.5840783Z 2022-11-23T01:37:55.5840843Z 2022-11-23T01:37:55.5841032Z [2022-11-23 01:36:27,322] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.5841106Z - 2022-11-23T01:37:55.5841227Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.5841290Z { 2022-11-23T01:37:55.5841422Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.5841613Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.5841736Z 'obj_weakref': None 2022-11-23T01:37:55.5841961Z 'guarded_class': 2022-11-23T01:37:55.5842026Z } 2022-11-23T01:37:55.5842088Z 2022-11-23T01:37:55.5842160Z - 2022-11-23T01:37:55.5842273Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.5842337Z { 2022-11-23T01:37:55.5842481Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5842591Z 'code': None, 2022-11-23T01:37:55.5842811Z 'obj_weakref': 2022-11-23T01:37:55.5843070Z 'guarded_class': 2022-11-23T01:37:55.5843133Z } 2022-11-23T01:37:55.5843184Z 2022-11-23T01:37:55.5843257Z - 2022-11-23T01:37:55.5843381Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.5843444Z { 2022-11-23T01:37:55.5843587Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5843696Z 'code': None, 2022-11-23T01:37:55.5843910Z 'obj_weakref': 2022-11-23T01:37:55.5844149Z 'guarded_class': 2022-11-23T01:37:55.5844212Z } 2022-11-23T01:37:55.5844274Z 2022-11-23T01:37:55.5844348Z - 2022-11-23T01:37:55.5844481Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.5844543Z { 2022-11-23T01:37:55.5844680Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.5844839Z 'code': ['___check_obj_id(model, 140538441420240)'], 2022-11-23T01:37:55.5844959Z 'obj_weakref': None 2022-11-23T01:37:55.5845228Z 'guarded_class': 2022-11-23T01:37:55.5845295Z } 2022-11-23T01:37:55.5845357Z 2022-11-23T01:37:55.5845431Z - 2022-11-23T01:37:55.5845557Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.5845607Z { 2022-11-23T01:37:55.5845746Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.5845968Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.5846091Z 'obj_weakref': None 2022-11-23T01:37:55.5846315Z 'guarded_class': 2022-11-23T01:37:55.5846419Z } 2022-11-23T01:37:55.5846483Z 2022-11-23T01:37:55.5846541Z - 2022-11-23T01:37:55.5846726Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:37:55.5846796Z { 2022-11-23T01:37:55.5846971Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:37:55.5847614Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93851402555296)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[2], 93851402553120)', 'model.__closure__[0].cell_contents == [1, 10, 1]'], 2022-11-23T01:37:55.5847741Z 'obj_weakref': None 2022-11-23T01:37:55.5847968Z 'guarded_class': 2022-11-23T01:37:55.5848037Z } 2022-11-23T01:37:55.5848087Z 2022-11-23T01:37:55.5848159Z - 2022-11-23T01:37:55.5848349Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:37:55.5848416Z { 2022-11-23T01:37:55.5848565Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5848853Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents[0] == 1'], 2022-11-23T01:37:55.5848976Z 'obj_weakref': None 2022-11-23T01:37:55.5849203Z 'guarded_class': 2022-11-23T01:37:55.5849254Z } 2022-11-23T01:37:55.5849318Z 2022-11-23T01:37:55.5849393Z - 2022-11-23T01:37:55.5849582Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:37:55.5849648Z { 2022-11-23T01:37:55.5849798Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5850087Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents[1] == 10'], 2022-11-23T01:37:55.5850198Z 'obj_weakref': None 2022-11-23T01:37:55.5850423Z 'guarded_class': 2022-11-23T01:37:55.5850489Z } 2022-11-23T01:37:55.5850554Z 2022-11-23T01:37:55.5850628Z - 2022-11-23T01:37:55.5850819Z local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH 2022-11-23T01:37:55.5850885Z { 2022-11-23T01:37:55.5851015Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5851297Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 93851402553120)', 'model.__closure__[0].cell_contents[2] == 1'], 2022-11-23T01:37:55.5851421Z 'obj_weakref': None 2022-11-23T01:37:55.5851647Z 'guarded_class': 2022-11-23T01:37:55.5851711Z } 2022-11-23T01:37:55.5851776Z 2022-11-23T01:37:55.5852040Z [2022-11-23 01:36:27,329] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 437 2022-11-23T01:37:55.5852477Z [2022-11-23 01:36:27,338] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/j7/cj73tikqjmqwwkketid5mpiomc4rfq27inaz2qnvihoscag3evdu.py 2022-11-23T01:37:55.5852736Z [2022-11-23 01:36:27,338] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 437 2022-11-23T01:37:55.5852974Z [2022-11-23 01:36:27,341] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.5853246Z [2022-11-23 01:36:27,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.5853468Z [2022-11-23 01:36:27,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.5853761Z [2022-11-23 01:36:27,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.5854055Z [2022-11-23 01:36:27,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.5854385Z [2022-11-23 01:36:27,341] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.5854718Z [2022-11-23 01:36:27,342] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.5854812Z 940 0 LOAD_FAST 0 (x) 2022-11-23T01:37:55.5854894Z 2 LOAD_METHOD 0 (view) 2022-11-23T01:37:55.5854988Z 4 LOAD_DEREF 0 (size2) 2022-11-23T01:37:55.5855076Z 6 CALL_METHOD 1 2022-11-23T01:37:55.5855166Z 8 LOAD_FAST 1 (y) 2022-11-23T01:37:55.5855238Z 10 BINARY_ADD 2022-11-23T01:37:55.5855325Z 12 BUILD_TUPLE 1 2022-11-23T01:37:55.5855402Z 14 RETURN_VALUE 2022-11-23T01:37:55.5855450Z 2022-11-23T01:37:55.5855467Z 2022-11-23T01:37:55.5855724Z [2022-11-23 01:36:27,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:940 2022-11-23T01:37:55.5855935Z [2022-11-23 01:36:27,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.5856181Z [2022-11-23 01:36:27,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:37:55.5856465Z [2022-11-23 01:36:27,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:37:55.5856771Z [2022-11-23 01:36:27,342] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:37:55.5857013Z [2022-11-23 01:36:27,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:37:55.5857288Z [2022-11-23 01:36:27,343] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.5857535Z [2022-11-23 01:36:27,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.5857785Z [2022-11-23 01:36:27,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5858106Z [2022-11-23 01:36:27,344] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.5858353Z [2022-11-23 01:36:27,344] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5858590Z [2022-11-23 01:36:27,345] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.5859057Z [2022-11-23 01:36:27,346] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.5859338Z [2022-11-23 01:36:27,349] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.5859589Z [2022-11-23 01:36:27,349] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.5859727Z __compiled_fn_446 .3495 opcode, name, target, args, kwargs 2022-11-23T01:37:55.5859818Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.5859892Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.5859998Z call_method, view, view, (ex_0_, [10, 1, 10, 1, 10]), {} 2022-11-23T01:37:55.5860182Z call_function, add, , (view, ex_1_), {} 2022-11-23T01:37:55.5860277Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.5860283Z 2022-11-23T01:37:55.5860566Z [2022-11-23 01:36:27,350] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5860698Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5860790Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5860883Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.5860960Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.5861036Z 8 RETURN_VALUE 2022-11-23T01:37:55.5861042Z 2022-11-23T01:37:55.5861102Z 2022-11-23T01:37:55.5861380Z [2022-11-23 01:36:27,350] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5861486Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_446) 2022-11-23T01:37:55.5861574Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5861662Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5861740Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.5861815Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5861904Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.5861979Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.5862069Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.5862173Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5862302Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:55.5862397Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:55.5862473Z 22 CALL_FUNCTION 0 2022-11-23T01:37:55.5862568Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:55.5862669Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5862756Z 28 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5862832Z 30 BINARY_SUBSCR 2022-11-23T01:37:55.5862919Z 32 BUILD_TUPLE 1 2022-11-23T01:37:55.5863009Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5863097Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5863183Z 38 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5863258Z 40 BINARY_SUBSCR 2022-11-23T01:37:55.5863358Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5863449Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5863542Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5863626Z 48 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5863689Z 50 BINARY_SUBSCR 2022-11-23T01:37:55.5863791Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5863865Z 54 RETURN_VALUE 2022-11-23T01:37:55.5863870Z 2022-11-23T01:37:55.5863930Z 2022-11-23T01:37:55.5864116Z [2022-11-23 01:36:27,351] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.5864188Z - 2022-11-23T01:37:55.5864309Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.5864376Z { 2022-11-23T01:37:55.5864508Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.5864697Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.5864818Z 'obj_weakref': None 2022-11-23T01:37:55.5865073Z 'guarded_class': 2022-11-23T01:37:55.5865138Z } 2022-11-23T01:37:55.5865200Z 2022-11-23T01:37:55.5865272Z - 2022-11-23T01:37:55.5865386Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.5865450Z { 2022-11-23T01:37:55.5865593Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5865701Z 'code': None, 2022-11-23T01:37:55.5865916Z 'obj_weakref': 2022-11-23T01:37:55.5866171Z 'guarded_class': 2022-11-23T01:37:55.5866268Z } 2022-11-23T01:37:55.5866317Z 2022-11-23T01:37:55.5866388Z - 2022-11-23T01:37:55.5866512Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.5866574Z { 2022-11-23T01:37:55.5866718Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5866826Z 'code': None, 2022-11-23T01:37:55.5867044Z 'obj_weakref': 2022-11-23T01:37:55.5867284Z 'guarded_class': 2022-11-23T01:37:55.5867348Z } 2022-11-23T01:37:55.5867408Z 2022-11-23T01:37:55.5867478Z - 2022-11-23T01:37:55.5867609Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.5867671Z { 2022-11-23T01:37:55.5867805Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.5867965Z 'code': ['___check_obj_id(model, 140538426411632)'], 2022-11-23T01:37:55.5868088Z 'obj_weakref': None 2022-11-23T01:37:55.5868410Z 'guarded_class': 2022-11-23T01:37:55.5868476Z } 2022-11-23T01:37:55.5868543Z 2022-11-23T01:37:55.5868615Z - 2022-11-23T01:37:55.5868742Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.5868793Z { 2022-11-23T01:37:55.5868931Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.5869153Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.5869276Z 'obj_weakref': None 2022-11-23T01:37:55.5869497Z 'guarded_class': 2022-11-23T01:37:55.5869561Z } 2022-11-23T01:37:55.5869624Z 2022-11-23T01:37:55.5869681Z - 2022-11-23T01:37:55.5869860Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:37:55.5869924Z { 2022-11-23T01:37:55.5870096Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:37:55.5870943Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93851402555296)', 'len(model.__closure__[0].cell_contents) == 5', '___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[2], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[3], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[4], 93851402553120)', 'model.__closure__[0].cell_contents == [10, 1, 10, 1, 10]'], 2022-11-23T01:37:55.5871066Z 'obj_weakref': None 2022-11-23T01:37:55.5871288Z 'guarded_class': 2022-11-23T01:37:55.5871351Z } 2022-11-23T01:37:55.5871417Z 2022-11-23T01:37:55.5871474Z - 2022-11-23T01:37:55.5871661Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:37:55.5871726Z { 2022-11-23T01:37:55.5871869Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5872193Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents[0] == 10'], 2022-11-23T01:37:55.5872318Z 'obj_weakref': None 2022-11-23T01:37:55.5872542Z 'guarded_class': 2022-11-23T01:37:55.5872594Z } 2022-11-23T01:37:55.5872656Z 2022-11-23T01:37:55.5872727Z - 2022-11-23T01:37:55.5872915Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:37:55.5872979Z { 2022-11-23T01:37:55.5873121Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5873454Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents[1] == 1'], 2022-11-23T01:37:55.5873563Z 'obj_weakref': None 2022-11-23T01:37:55.5873783Z 'guarded_class': 2022-11-23T01:37:55.5873846Z } 2022-11-23T01:37:55.5873912Z 2022-11-23T01:37:55.5873984Z - 2022-11-23T01:37:55.5874169Z local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH 2022-11-23T01:37:55.5874232Z { 2022-11-23T01:37:55.5874364Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5874649Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 93851402553120)', 'model.__closure__[0].cell_contents[2] == 10'], 2022-11-23T01:37:55.5874771Z 'obj_weakref': None 2022-11-23T01:37:55.5874991Z 'guarded_class': 2022-11-23T01:37:55.5875058Z } 2022-11-23T01:37:55.5875122Z 2022-11-23T01:37:55.5875191Z - 2022-11-23T01:37:55.5875364Z local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH 2022-11-23T01:37:55.5875426Z { 2022-11-23T01:37:55.5875570Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5875858Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 93851402553120)', 'model.__closure__[0].cell_contents[3] == 1'], 2022-11-23T01:37:55.5875978Z 'obj_weakref': None 2022-11-23T01:37:55.5876199Z 'guarded_class': 2022-11-23T01:37:55.5876261Z } 2022-11-23T01:37:55.5876322Z 2022-11-23T01:37:55.5876379Z - 2022-11-23T01:37:55.5876563Z local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH 2022-11-23T01:37:55.5876625Z { 2022-11-23T01:37:55.5876771Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5877055Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 93851402553120)', 'model.__closure__[0].cell_contents[4] == 10'], 2022-11-23T01:37:55.5877177Z 'obj_weakref': None 2022-11-23T01:37:55.5877401Z 'guarded_class': 2022-11-23T01:37:55.5877451Z } 2022-11-23T01:37:55.5877512Z 2022-11-23T01:37:55.5877775Z [2022-11-23 01:36:27,357] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 438 2022-11-23T01:37:55.5877782Z 2022-11-23T01:37:55.5877786Z 2022-11-23T01:37:55.5877878Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.5877945Z import torch 2022-11-23T01:37:55.5878013Z import random 2022-11-23T01:37:55.5878127Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.5878248Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.5878255Z 2022-11-23T01:37:55.5878320Z aten = torch.ops.aten 2022-11-23T01:37:55.5878453Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.5878544Z async_compile = AsyncCompile() 2022-11-23T01:37:55.5878549Z 2022-11-23T01:37:55.5878553Z 2022-11-23T01:37:55.5878688Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.5878921Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.5879043Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.5879151Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.5879250Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.5879298Z { 2022-11-23T01:37:55.5879378Z for(long i0=0; i0<125; i0+=1) 2022-11-23T01:37:55.5879437Z { 2022-11-23T01:37:55.5879591Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.5879719Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.5879833Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5879920Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.5879968Z } 2022-11-23T01:37:55.5880054Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.5880135Z for(long i0=1000; i0<1000; i0+=1) 2022-11-23T01:37:55.5880195Z { 2022-11-23T01:37:55.5880277Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.5880356Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.5880434Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5880498Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.5880558Z } 2022-11-23T01:37:55.5880615Z } 2022-11-23T01:37:55.5880695Z ''') 2022-11-23T01:37:55.5880700Z 2022-11-23T01:37:55.5880704Z 2022-11-23T01:37:55.5880789Z async_compile.wait(globals()) 2022-11-23T01:37:55.5880860Z del async_compile 2022-11-23T01:37:55.5880865Z 2022-11-23T01:37:55.5880933Z def call(args): 2022-11-23T01:37:55.5880995Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.5881069Z args.clear() 2022-11-23T01:37:55.5881271Z buf0 = empty_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5881432Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.5881500Z del arg0_1 2022-11-23T01:37:55.5881566Z del arg1_1 2022-11-23T01:37:55.5881638Z return (buf0, ) 2022-11-23T01:37:55.5881643Z 2022-11-23T01:37:55.5881647Z 2022-11-23T01:37:55.5881722Z if __name__ == "__main__": 2022-11-23T01:37:55.5881824Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.5881947Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.5882159Z arg0_1 = rand_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5882362Z arg1_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5882476Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.5882481Z 2022-11-23T01:37:55.5882488Z 2022-11-23T01:37:55.5882581Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.5882649Z import torch 2022-11-23T01:37:55.5882719Z import random 2022-11-23T01:37:55.5882821Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.5882939Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.5882944Z 2022-11-23T01:37:55.5883022Z aten = torch.ops.aten 2022-11-23T01:37:55.5883154Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.5883245Z async_compile = AsyncCompile() 2022-11-23T01:37:55.5883250Z 2022-11-23T01:37:55.5883254Z 2022-11-23T01:37:55.5883388Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.5883594Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.5883712Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.5883804Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.5883907Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.5883965Z { 2022-11-23T01:37:55.5884047Z for(long i0=0; i0<125; i0+=1) 2022-11-23T01:37:55.5884105Z { 2022-11-23T01:37:55.5884238Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.5884368Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.5884518Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:55.5884603Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5884684Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.5884771Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.5884831Z } 2022-11-23T01:37:55.5884918Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.5884999Z for(long i0=1000; i0<1000; i0+=1) 2022-11-23T01:37:55.5885047Z { 2022-11-23T01:37:55.5885129Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.5885210Z auto tmp3 = in_ptr1[i0]; 2022-11-23T01:37:55.5885339Z auto tmp1 = static_cast(1); 2022-11-23T01:37:55.5885421Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5885502Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.5885580Z out_ptr0[i0] = tmp4; 2022-11-23T01:37:55.5885627Z } 2022-11-23T01:37:55.5885686Z } 2022-11-23T01:37:55.5885767Z ''') 2022-11-23T01:37:55.5885772Z 2022-11-23T01:37:55.5885776Z 2022-11-23T01:37:55.5885868Z async_compile.wait(globals()) 2022-11-23T01:37:55.5885944Z del async_compile 2022-11-23T01:37:55.5885948Z 2022-11-23T01:37:55.5886020Z def call(args): 2022-11-23T01:37:55.5886096Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.5886154Z args.clear() 2022-11-23T01:37:55.5886362Z buf0 = empty_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5886524Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.5886593Z del arg0_1 2022-11-23T01:37:55.5886660Z del arg1_1 2022-11-23T01:37:55.5886741Z return (buf0, ) 2022-11-23T01:37:55.5886745Z 2022-11-23T01:37:55.5886749Z 2022-11-23T01:37:55.5886825Z if __name__ == "__main__": 2022-11-23T01:37:55.5886939Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.5887050Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.5887265Z arg0_1 = rand_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5887469Z arg1_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5887587Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.5887591Z 2022-11-23T01:37:55.5887595Z 2022-11-23T01:37:55.5887692Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.5887763Z import torch 2022-11-23T01:37:55.5887835Z import random 2022-11-23T01:37:55.5887951Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.5888058Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.5888063Z 2022-11-23T01:37:55.5888146Z aten = torch.ops.aten 2022-11-23T01:37:55.5888279Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.5888370Z async_compile = AsyncCompile() 2022-11-23T01:37:55.5888375Z 2022-11-23T01:37:55.5888379Z 2022-11-23T01:37:55.5888515Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.5888724Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.5888843Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.5888946Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.5889033Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.5889094Z { 2022-11-23T01:37:55.5889176Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:37:55.5889238Z { 2022-11-23T01:37:55.5889371Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.5889502Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.5889590Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5889663Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.5889725Z } 2022-11-23T01:37:55.5889814Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.5889895Z for(long i0=8; i0<10; i0+=1) 2022-11-23T01:37:55.5889957Z { 2022-11-23T01:37:55.5890037Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.5890152Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.5890221Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5890299Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.5890360Z } 2022-11-23T01:37:55.5890420Z } 2022-11-23T01:37:55.5890503Z ''') 2022-11-23T01:37:55.5890508Z 2022-11-23T01:37:55.5890512Z 2022-11-23T01:37:55.5890598Z async_compile.wait(globals()) 2022-11-23T01:37:55.5890669Z del async_compile 2022-11-23T01:37:55.5890674Z 2022-11-23T01:37:55.5890730Z def call(args): 2022-11-23T01:37:55.5890804Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.5890876Z args.clear() 2022-11-23T01:37:55.5891117Z buf0 = empty_strided((1, 10, 1), (10, 1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5891282Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.5891348Z del arg0_1 2022-11-23T01:37:55.5891415Z del arg1_1 2022-11-23T01:37:55.5891475Z return (buf0, ) 2022-11-23T01:37:55.5891483Z 2022-11-23T01:37:55.5891498Z 2022-11-23T01:37:55.5891562Z if __name__ == "__main__": 2022-11-23T01:37:55.5891674Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.5891795Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.5891992Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5892199Z arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5892316Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.5892321Z 2022-11-23T01:37:55.5892325Z 2022-11-23T01:37:55.5892419Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.5892476Z import torch 2022-11-23T01:37:55.5892545Z import random 2022-11-23T01:37:55.5892657Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.5892775Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.5892780Z 2022-11-23T01:37:55.5892855Z aten = torch.ops.aten 2022-11-23T01:37:55.5892986Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.5893078Z async_compile = AsyncCompile() 2022-11-23T01:37:55.5893083Z 2022-11-23T01:37:55.5893087Z 2022-11-23T01:37:55.5893222Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.5893412Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.5893530Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.5893634Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.5893733Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.5893796Z { 2022-11-23T01:37:55.5893874Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:37:55.5893934Z { 2022-11-23T01:37:55.5894071Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.5894190Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.5894321Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:55.5894405Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5894487Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.5894572Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.5894632Z } 2022-11-23T01:37:55.5894717Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.5894783Z for(long i0=8; i0<10; i0+=1) 2022-11-23T01:37:55.5894844Z { 2022-11-23T01:37:55.5894922Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.5895001Z auto tmp3 = in_ptr1[i0]; 2022-11-23T01:37:55.5895096Z auto tmp1 = static_cast(1); 2022-11-23T01:37:55.5895177Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5895256Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.5895320Z out_ptr0[i0] = tmp4; 2022-11-23T01:37:55.5895381Z } 2022-11-23T01:37:55.5895443Z } 2022-11-23T01:37:55.5895523Z ''') 2022-11-23T01:37:55.5895528Z 2022-11-23T01:37:55.5895532Z 2022-11-23T01:37:55.5895650Z async_compile.wait(globals()) 2022-11-23T01:37:55.5895723Z del async_compile 2022-11-23T01:37:55.5895727Z 2022-11-23T01:37:55.5895796Z def call(args): 2022-11-23T01:37:55.5895858Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.5895929Z args.clear() 2022-11-23T01:37:55.5896138Z buf0 = empty_strided((1, 10, 1), (10, 1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5896300Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.5896368Z del arg0_1 2022-11-23T01:37:55.5896432Z del arg1_1 2022-11-23T01:37:55.5896502Z return (buf0, ) 2022-11-23T01:37:55.5896536Z 2022-11-23T01:37:55.5896540Z 2022-11-23T01:37:55.5896617Z if __name__ == "__main__": 2022-11-23T01:37:55.5896719Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.5896840Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.5897036Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5897247Z arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5897360Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.5897365Z 2022-11-23T01:37:55.5897369Z 2022-11-23T01:37:55.5897460Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.5897527Z import torch 2022-11-23T01:37:55.5897584Z import random 2022-11-23T01:37:55.5897696Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.5897818Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.5897823Z 2022-11-23T01:37:55.5897900Z aten = torch.ops.aten 2022-11-23T01:37:55.5898032Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.5898121Z async_compile = AsyncCompile() 2022-11-23T01:37:55.5898125Z 2022-11-23T01:37:55.5898129Z 2022-11-23T01:37:55.5898264Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.5898471Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.5898578Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.5898681Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.5898945Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.5899048Z { 2022-11-23T01:37:55.5899172Z for(long i0=0; i0<125; i0+=1) 2022-11-23T01:37:55.5899239Z { 2022-11-23T01:37:55.5899375Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.5899504Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.5899574Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5899663Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.5899723Z } 2022-11-23T01:37:55.5899810Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.5899892Z for(long i0=1000; i0<1000; i0+=1) 2022-11-23T01:37:55.5899952Z { 2022-11-23T01:37:55.5900034Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.5900105Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.5900184Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5900262Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.5900321Z } 2022-11-23T01:37:55.5900379Z } 2022-11-23T01:37:55.5900464Z ''') 2022-11-23T01:37:55.5900469Z 2022-11-23T01:37:55.5900473Z 2022-11-23T01:37:55.5900561Z async_compile.wait(globals()) 2022-11-23T01:37:55.5900619Z del async_compile 2022-11-23T01:37:55.5900624Z 2022-11-23T01:37:55.5900693Z def call(args): 2022-11-23T01:37:55.5900768Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.5900841Z args.clear() 2022-11-23T01:37:55.5901075Z buf0 = empty_strided((10, 1, 10, 1, 10), (100, 1000, 10, 1000, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5901238Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.5901305Z del arg0_1 2022-11-23T01:37:55.5901360Z del arg1_1 2022-11-23T01:37:55.5901431Z return (buf0, ) 2022-11-23T01:37:55.5901436Z 2022-11-23T01:37:55.5901502Z 2022-11-23T01:37:55.5901580Z if __name__ == "__main__": 2022-11-23T01:37:55.5901692Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.5901814Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.5902026Z arg0_1 = rand_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5902258Z arg1_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5902374Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.5902741Z [2022-11-23 01:36:27,368] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/cj/ccji2rugr2bbphms764jx2lzmjrokjr3jesbtyblorap3anweni5.py 2022-11-23T01:37:55.5903052Z [2022-11-23 01:36:27,368] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 438 2022-11-23T01:37:55.5903294Z [2022-11-23 01:36:27,371] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.5903565Z [2022-11-23 01:36:27,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.5903786Z [2022-11-23 01:36:27,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.5904040Z [2022-11-23 01:36:27,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.5904332Z [2022-11-23 01:36:27,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.5904665Z [2022-11-23 01:36:27,371] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.5904998Z [2022-11-23 01:36:27,372] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.5905091Z 943 0 LOAD_FAST 0 (x) 2022-11-23T01:37:55.5905171Z 2 LOAD_CONST 1 (1) 2022-11-23T01:37:55.5905245Z 4 BINARY_ADD 2022-11-23T01:37:55.5905339Z 6 LOAD_METHOD 0 (view) 2022-11-23T01:37:55.5905430Z 8 LOAD_DEREF 0 (size2) 2022-11-23T01:37:55.5905514Z 10 CALL_METHOD 1 2022-11-23T01:37:55.5905601Z 12 LOAD_FAST 1 (y) 2022-11-23T01:37:55.5905672Z 14 BINARY_ADD 2022-11-23T01:37:55.5905748Z 16 BUILD_TUPLE 1 2022-11-23T01:37:55.5905822Z 18 RETURN_VALUE 2022-11-23T01:37:55.5905885Z 2022-11-23T01:37:55.5905890Z 2022-11-23T01:37:55.5906158Z [2022-11-23 01:36:27,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:943 2022-11-23T01:37:55.5906372Z [2022-11-23 01:36:27,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.5906618Z [2022-11-23 01:36:27,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:37:55.5906902Z [2022-11-23 01:36:27,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.5907147Z [2022-11-23 01:36:27,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:37:55.5907415Z [2022-11-23 01:36:27,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:37:55.5907717Z [2022-11-23 01:36:27,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:37:55.5907957Z [2022-11-23 01:36:27,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:37:55.5908307Z [2022-11-23 01:36:27,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.5908592Z [2022-11-23 01:36:27,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.5908844Z [2022-11-23 01:36:27,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5909176Z [2022-11-23 01:36:27,376] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.5909422Z [2022-11-23 01:36:27,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5909660Z [2022-11-23 01:36:27,376] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.5909949Z [2022-11-23 01:36:27,377] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.5910189Z [2022-11-23 01:36:27,381] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.5910384Z [2022-11-23 01:36:27,381] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.5910518Z __compiled_fn_447 .3501 opcode, name, target, args, kwargs 2022-11-23T01:37:55.5910606Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.5910691Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.5910867Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:55.5910972Z call_method, view, view, (add, [10, 1, 10, 1, 10]), {} 2022-11-23T01:37:55.5911140Z call_function, add_1, , (view, ex_1_), {} 2022-11-23T01:37:55.5911235Z output, output, output, ((add_1,),), {} 2022-11-23T01:37:55.5911242Z 2022-11-23T01:37:55.5911519Z [2022-11-23 01:36:27,381] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5911614Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5911705Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5911799Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.5911889Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.5911964Z 8 RETURN_VALUE 2022-11-23T01:37:55.5911969Z 2022-11-23T01:37:55.5912016Z 2022-11-23T01:37:55.5912291Z [2022-11-23 01:36:27,381] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5912399Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_447) 2022-11-23T01:37:55.5912489Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5912577Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5912652Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.5912742Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5912827Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.5912888Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.5912974Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.5913078Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5913207Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:55.5913302Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:55.5913389Z 22 CALL_FUNCTION 0 2022-11-23T01:37:55.5913483Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:55.5913571Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5913658Z 28 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5913733Z 30 BINARY_SUBSCR 2022-11-23T01:37:55.5913820Z 32 BUILD_TUPLE 1 2022-11-23T01:37:55.5913914Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5914012Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5914101Z 38 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5914163Z 40 BINARY_SUBSCR 2022-11-23T01:37:55.5914292Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5914385Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5914481Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5914568Z 48 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5914644Z 50 BINARY_SUBSCR 2022-11-23T01:37:55.5914744Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5914806Z 54 RETURN_VALUE 2022-11-23T01:37:55.5914822Z 2022-11-23T01:37:55.5914869Z 2022-11-23T01:37:55.5915057Z [2022-11-23 01:36:27,383] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.5915173Z - 2022-11-23T01:37:55.5915293Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.5915358Z { 2022-11-23T01:37:55.5915501Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.5915690Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.5915801Z 'obj_weakref': None 2022-11-23T01:37:55.5916028Z 'guarded_class': 2022-11-23T01:37:55.5916092Z } 2022-11-23T01:37:55.5916154Z 2022-11-23T01:37:55.5916226Z - 2022-11-23T01:37:55.5916353Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.5916416Z { 2022-11-23T01:37:55.5916548Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5916656Z 'code': None, 2022-11-23T01:37:55.5916874Z 'obj_weakref': 2022-11-23T01:37:55.5917131Z 'guarded_class': 2022-11-23T01:37:55.5917197Z } 2022-11-23T01:37:55.5917259Z 2022-11-23T01:37:55.5917330Z - 2022-11-23T01:37:55.5917442Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.5917504Z { 2022-11-23T01:37:55.5917654Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5917763Z 'code': None, 2022-11-23T01:37:55.5917979Z 'obj_weakref': 2022-11-23T01:37:55.5918236Z 'guarded_class': 2022-11-23T01:37:55.5918302Z } 2022-11-23T01:37:55.5918351Z 2022-11-23T01:37:55.5918422Z - 2022-11-23T01:37:55.5918554Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.5918617Z { 2022-11-23T01:37:55.5918753Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.5918927Z 'code': ['___check_obj_id(model, 140538441420240)'], 2022-11-23T01:37:55.5919050Z 'obj_weakref': None 2022-11-23T01:37:55.5919271Z 'guarded_class': 2022-11-23T01:37:55.5919336Z } 2022-11-23T01:37:55.5919404Z 2022-11-23T01:37:55.5919476Z - 2022-11-23T01:37:55.5919598Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.5919661Z { 2022-11-23T01:37:55.5919786Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.5920004Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.5920125Z 'obj_weakref': None 2022-11-23T01:37:55.5920348Z 'guarded_class': 2022-11-23T01:37:55.5920414Z } 2022-11-23T01:37:55.5920478Z 2022-11-23T01:37:55.5920555Z - 2022-11-23T01:37:55.5920739Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:37:55.5920792Z { 2022-11-23T01:37:55.5920966Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:37:55.5921867Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93851402555296)', 'len(model.__closure__[0].cell_contents) == 5', '___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[2], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[3], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[4], 93851402553120)', 'model.__closure__[0].cell_contents == [10, 1, 10, 1, 10]'], 2022-11-23T01:37:55.5921991Z 'obj_weakref': None 2022-11-23T01:37:55.5922215Z 'guarded_class': 2022-11-23T01:37:55.5922313Z } 2022-11-23T01:37:55.5922377Z 2022-11-23T01:37:55.5922451Z - 2022-11-23T01:37:55.5922626Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:37:55.5922692Z { 2022-11-23T01:37:55.5922840Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5923132Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents[0] == 10'], 2022-11-23T01:37:55.5923257Z 'obj_weakref': None 2022-11-23T01:37:55.5923481Z 'guarded_class': 2022-11-23T01:37:55.5923548Z } 2022-11-23T01:37:55.5923613Z 2022-11-23T01:37:55.5923671Z - 2022-11-23T01:37:55.5923861Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:37:55.5923926Z { 2022-11-23T01:37:55.5924077Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5924364Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents[1] == 1'], 2022-11-23T01:37:55.5924490Z 'obj_weakref': None 2022-11-23T01:37:55.5924718Z 'guarded_class': 2022-11-23T01:37:55.5924771Z } 2022-11-23T01:37:55.5924836Z 2022-11-23T01:37:55.5924909Z - 2022-11-23T01:37:55.5925102Z local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH 2022-11-23T01:37:55.5925167Z { 2022-11-23T01:37:55.5925312Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5925604Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 93851402553120)', 'model.__closure__[0].cell_contents[2] == 10'], 2022-11-23T01:37:55.5925713Z 'obj_weakref': None 2022-11-23T01:37:55.5925939Z 'guarded_class': 2022-11-23T01:37:55.5926005Z } 2022-11-23T01:37:55.5926071Z 2022-11-23T01:37:55.5926142Z - 2022-11-23T01:37:55.5926332Z local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH 2022-11-23T01:37:55.5926396Z { 2022-11-23T01:37:55.5926529Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5926813Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 93851402553120)', 'model.__closure__[0].cell_contents[3] == 1'], 2022-11-23T01:37:55.5926934Z 'obj_weakref': None 2022-11-23T01:37:55.5927158Z 'guarded_class': 2022-11-23T01:37:55.5927224Z } 2022-11-23T01:37:55.5927289Z 2022-11-23T01:37:55.5927360Z - 2022-11-23T01:37:55.5927548Z local 'model.__closure__[0].cell_contents[4]' CONSTANT_MATCH 2022-11-23T01:37:55.5927603Z { 2022-11-23T01:37:55.5927746Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5928034Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[4], 93851402553120)', 'model.__closure__[0].cell_contents[4] == 10'], 2022-11-23T01:37:55.5928158Z 'obj_weakref': None 2022-11-23T01:37:55.5928417Z 'guarded_class': 2022-11-23T01:37:55.5928481Z } 2022-11-23T01:37:55.5928541Z 2022-11-23T01:37:55.5928795Z [2022-11-23 01:36:27,389] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 439 2022-11-23T01:37:55.5929170Z [2022-11-23 01:36:27,401] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/u2/cu2gwaxbyzb3d5yqynbszxoxlz6zbjxl3zvybxpbx7bsddksnhxs.py 2022-11-23T01:37:55.5929436Z [2022-11-23 01:36:27,401] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 439 2022-11-23T01:37:55.5929711Z [2022-11-23 01:36:27,404] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.5929980Z [2022-11-23 01:36:27,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.5930205Z [2022-11-23 01:36:27,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.5930459Z [2022-11-23 01:36:27,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.5930749Z [2022-11-23 01:36:27,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.5931077Z [2022-11-23 01:36:27,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.5931413Z [2022-11-23 01:36:27,405] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.5931497Z 940 0 LOAD_FAST 0 (x) 2022-11-23T01:37:55.5931589Z 2 LOAD_METHOD 0 (view) 2022-11-23T01:37:55.5931684Z 4 LOAD_DEREF 0 (size2) 2022-11-23T01:37:55.5931773Z 6 CALL_METHOD 1 2022-11-23T01:37:55.5931863Z 8 LOAD_FAST 1 (y) 2022-11-23T01:37:55.5931935Z 10 BINARY_ADD 2022-11-23T01:37:55.5932022Z 12 BUILD_TUPLE 1 2022-11-23T01:37:55.5932085Z 14 RETURN_VALUE 2022-11-23T01:37:55.5932145Z 2022-11-23T01:37:55.5932150Z 2022-11-23T01:37:55.5932421Z [2022-11-23 01:36:27,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:940 2022-11-23T01:37:55.5932631Z [2022-11-23 01:36:27,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.5932876Z [2022-11-23 01:36:27,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:37:55.5933165Z [2022-11-23 01:36:27,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:37:55.5933474Z [2022-11-23 01:36:27,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:37:55.5933711Z [2022-11-23 01:36:27,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:37:55.5933987Z [2022-11-23 01:36:27,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.5934220Z [2022-11-23 01:36:27,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.5934464Z [2022-11-23 01:36:27,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5934797Z [2022-11-23 01:36:27,407] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.5935045Z [2022-11-23 01:36:27,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5935308Z [2022-11-23 01:36:27,407] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.5935567Z [2022-11-23 01:36:27,409] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.5935816Z [2022-11-23 01:36:27,412] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.5936009Z [2022-11-23 01:36:27,412] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.5936143Z __compiled_fn_448 .3507 opcode, name, target, args, kwargs 2022-11-23T01:37:55.5936219Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.5936304Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.5936438Z call_method, view, view, (ex_0_, [2, 2, 2, 2]), {} 2022-11-23T01:37:55.5936620Z call_function, add, , (view, ex_1_), {} 2022-11-23T01:37:55.5936715Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.5936721Z 2022-11-23T01:37:55.5937001Z [2022-11-23 01:36:27,413] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5937095Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5937185Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5937265Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.5937353Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.5937431Z 8 RETURN_VALUE 2022-11-23T01:37:55.5937437Z 2022-11-23T01:37:55.5937495Z 2022-11-23T01:37:55.5937770Z [2022-11-23 01:36:27,413] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5937880Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_448) 2022-11-23T01:37:55.5937970Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5938047Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5938122Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.5938212Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5938301Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.5938376Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.5938463Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.5938566Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5938693Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:55.5938941Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:55.5939080Z 22 CALL_FUNCTION 0 2022-11-23T01:37:55.5939211Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:55.5939319Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5939408Z 28 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5939485Z 30 BINARY_SUBSCR 2022-11-23T01:37:55.5939573Z 32 BUILD_TUPLE 1 2022-11-23T01:37:55.5939653Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5939755Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5939844Z 38 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5939918Z 40 BINARY_SUBSCR 2022-11-23T01:37:55.5940020Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5940110Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5940207Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5940281Z 48 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5940357Z 50 BINARY_SUBSCR 2022-11-23T01:37:55.5940456Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5940533Z 54 RETURN_VALUE 2022-11-23T01:37:55.5940538Z 2022-11-23T01:37:55.5940598Z 2022-11-23T01:37:55.5940791Z [2022-11-23 01:36:27,414] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.5940863Z - 2022-11-23T01:37:55.5940973Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.5941095Z { 2022-11-23T01:37:55.5941245Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.5941436Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.5941559Z 'obj_weakref': None 2022-11-23T01:37:55.5941785Z 'guarded_class': 2022-11-23T01:37:55.5941849Z } 2022-11-23T01:37:55.5941899Z 2022-11-23T01:37:55.5941968Z - 2022-11-23T01:37:55.5942095Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.5942158Z { 2022-11-23T01:37:55.5942343Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5942453Z 'code': None, 2022-11-23T01:37:55.5942673Z 'obj_weakref': 2022-11-23T01:37:55.5942920Z 'guarded_class': 2022-11-23T01:37:55.5942984Z } 2022-11-23T01:37:55.5943044Z 2022-11-23T01:37:55.5943113Z - 2022-11-23T01:37:55.5943238Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.5943300Z { 2022-11-23T01:37:55.5943442Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5943537Z 'code': None, 2022-11-23T01:37:55.5943750Z 'obj_weakref': 2022-11-23T01:37:55.5944005Z 'guarded_class': 2022-11-23T01:37:55.5944070Z } 2022-11-23T01:37:55.5944133Z 2022-11-23T01:37:55.5944206Z - 2022-11-23T01:37:55.5944337Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.5944388Z { 2022-11-23T01:37:55.5944522Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.5944701Z 'code': ['___check_obj_id(model, 140538426411632)'], 2022-11-23T01:37:55.5944824Z 'obj_weakref': None 2022-11-23T01:37:55.5945056Z 'guarded_class': 2022-11-23T01:37:55.5945119Z } 2022-11-23T01:37:55.5945180Z 2022-11-23T01:37:55.5945237Z - 2022-11-23T01:37:55.5945359Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.5945422Z { 2022-11-23T01:37:55.5945559Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.5945780Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.5945906Z 'obj_weakref': None 2022-11-23T01:37:55.5946130Z 'guarded_class': 2022-11-23T01:37:55.5946192Z } 2022-11-23T01:37:55.5946242Z 2022-11-23T01:37:55.5946310Z - 2022-11-23T01:37:55.5946498Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:37:55.5946562Z { 2022-11-23T01:37:55.5946733Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:37:55.5947471Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93851402555296)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[2], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[3], 93851402553120)', 'model.__closure__[0].cell_contents == [2, 2, 2, 2]'], 2022-11-23T01:37:55.5947595Z 'obj_weakref': None 2022-11-23T01:37:55.5947817Z 'guarded_class': 2022-11-23T01:37:55.5947867Z } 2022-11-23T01:37:55.5947929Z 2022-11-23T01:37:55.5947996Z - 2022-11-23T01:37:55.5948344Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:37:55.5948412Z { 2022-11-23T01:37:55.5948561Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5948847Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents[0] == 2'], 2022-11-23T01:37:55.5948956Z 'obj_weakref': None 2022-11-23T01:37:55.5949178Z 'guarded_class': 2022-11-23T01:37:55.5949240Z } 2022-11-23T01:37:55.5949370Z 2022-11-23T01:37:55.5949441Z - 2022-11-23T01:37:55.5949630Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:37:55.5949692Z { 2022-11-23T01:37:55.5949826Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5950111Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents[1] == 2'], 2022-11-23T01:37:55.5950235Z 'obj_weakref': None 2022-11-23T01:37:55.5950457Z 'guarded_class': 2022-11-23T01:37:55.5950521Z } 2022-11-23T01:37:55.5950582Z 2022-11-23T01:37:55.5950653Z - 2022-11-23T01:37:55.5950827Z local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH 2022-11-23T01:37:55.5950889Z { 2022-11-23T01:37:55.5951031Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5951311Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 93851402553120)', 'model.__closure__[0].cell_contents[2] == 2'], 2022-11-23T01:37:55.5951435Z 'obj_weakref': None 2022-11-23T01:37:55.5951657Z 'guarded_class': 2022-11-23T01:37:55.5951720Z } 2022-11-23T01:37:55.5951785Z 2022-11-23T01:37:55.5951843Z - 2022-11-23T01:37:55.5952030Z local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH 2022-11-23T01:37:55.5952093Z { 2022-11-23T01:37:55.5952235Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5952519Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 93851402553120)', 'model.__closure__[0].cell_contents[3] == 2'], 2022-11-23T01:37:55.5952639Z 'obj_weakref': None 2022-11-23T01:37:55.5952862Z 'guarded_class': 2022-11-23T01:37:55.5952916Z } 2022-11-23T01:37:55.5952977Z 2022-11-23T01:37:55.5953239Z [2022-11-23 01:36:27,419] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 440 2022-11-23T01:37:55.5953617Z [2022-11-23 01:36:27,432] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wp/cwpqzawdl3j2qpfudxvmx4futuhdbkepxfx26nf24z2cgafczdyq.py 2022-11-23T01:37:55.5953887Z [2022-11-23 01:36:27,432] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 440 2022-11-23T01:37:55.5954132Z [2022-11-23 01:36:27,435] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.5954403Z [2022-11-23 01:36:27,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.5954625Z [2022-11-23 01:36:27,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.5954885Z [2022-11-23 01:36:27,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.5955163Z [2022-11-23 01:36:27,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.5955519Z [2022-11-23 01:36:27,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.5955855Z [2022-11-23 01:36:27,436] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.5955947Z 943 0 LOAD_FAST 0 (x) 2022-11-23T01:37:55.5956039Z 2 LOAD_CONST 1 (1) 2022-11-23T01:37:55.5956112Z 4 BINARY_ADD 2022-11-23T01:37:55.5956205Z 6 LOAD_METHOD 0 (view) 2022-11-23T01:37:55.5956296Z 8 LOAD_DEREF 0 (size2) 2022-11-23T01:37:55.5956369Z 10 CALL_METHOD 1 2022-11-23T01:37:55.5956490Z 12 LOAD_FAST 1 (y) 2022-11-23T01:37:55.5956562Z 14 BINARY_ADD 2022-11-23T01:37:55.5956650Z 16 BUILD_TUPLE 1 2022-11-23T01:37:55.5956725Z 18 RETURN_VALUE 2022-11-23T01:37:55.5956786Z 2022-11-23T01:37:55.5956792Z 2022-11-23T01:37:55.5957066Z [2022-11-23 01:36:27,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:943 2022-11-23T01:37:55.5957282Z [2022-11-23 01:36:27,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.5957513Z [2022-11-23 01:36:27,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:37:55.5957800Z [2022-11-23 01:36:27,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.5958041Z [2022-11-23 01:36:27,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:37:55.5958326Z [2022-11-23 01:36:27,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:37:55.5958629Z [2022-11-23 01:36:27,438] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:37:55.5958871Z [2022-11-23 01:36:27,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST y [TensorVariable()] 2022-11-23T01:37:55.5959145Z [2022-11-23 01:36:27,439] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.5959389Z [2022-11-23 01:36:27,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.5959638Z [2022-11-23 01:36:27,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5959959Z [2022-11-23 01:36:27,440] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.5960208Z [2022-11-23 01:36:27,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5960445Z [2022-11-23 01:36:27,440] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.5960702Z [2022-11-23 01:36:27,441] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.5960955Z [2022-11-23 01:36:27,445] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.5961145Z [2022-11-23 01:36:27,445] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.5961279Z __compiled_fn_449 .3513 opcode, name, target, args, kwargs 2022-11-23T01:37:55.5961368Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.5961453Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.5961616Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:55.5961721Z call_method, view, view, (add, [2, 2, 2, 2]), {} 2022-11-23T01:37:55.5961907Z call_function, add_1, , (view, ex_1_), {} 2022-11-23T01:37:55.5962002Z output, output, output, ((add_1,),), {} 2022-11-23T01:37:55.5962008Z 2022-11-23T01:37:55.5962314Z [2022-11-23 01:36:27,445] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5962409Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5962499Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5962594Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.5962671Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.5962747Z 8 RETURN_VALUE 2022-11-23T01:37:55.5962752Z 2022-11-23T01:37:55.5962813Z 2022-11-23T01:37:55.5963088Z [2022-11-23 01:36:27,445] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.5963236Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_449) 2022-11-23T01:37:55.5963325Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5963414Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5963478Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.5963564Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.5963655Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.5963732Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.5963820Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.5963922Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5964051Z 18 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:55.5964136Z 20 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:55.5964223Z 22 CALL_FUNCTION 0 2022-11-23T01:37:55.5964318Z 24 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:55.5964419Z 26 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.5964506Z 28 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5964584Z 30 BINARY_SUBSCR 2022-11-23T01:37:55.5964672Z 32 BUILD_TUPLE 1 2022-11-23T01:37:55.5964765Z 34 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5964854Z 36 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5964943Z 38 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5965022Z 40 BINARY_SUBSCR 2022-11-23T01:37:55.5965124Z 42 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5965215Z 44 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.5965313Z 46 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.5965401Z 48 LOAD_CONST 1 (0) 2022-11-23T01:37:55.5965462Z 50 BINARY_SUBSCR 2022-11-23T01:37:55.5965568Z 52 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:55.5965644Z 54 RETURN_VALUE 2022-11-23T01:37:55.5965649Z 2022-11-23T01:37:55.5965711Z 2022-11-23T01:37:55.5965901Z [2022-11-23 01:36:27,447] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.5965977Z - 2022-11-23T01:37:55.5966101Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.5966156Z { 2022-11-23T01:37:55.5966302Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.5966494Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.5966620Z 'obj_weakref': None 2022-11-23T01:37:55.5966852Z 'guarded_class': 2022-11-23T01:37:55.5966922Z } 2022-11-23T01:37:55.5966987Z 2022-11-23T01:37:55.5967044Z - 2022-11-23T01:37:55.5967172Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.5967239Z { 2022-11-23T01:37:55.5967388Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5967500Z 'code': None, 2022-11-23T01:37:55.5967722Z 'obj_weakref': 2022-11-23T01:37:55.5968010Z 'guarded_class': 2022-11-23T01:37:55.5968063Z } 2022-11-23T01:37:55.5968128Z 2022-11-23T01:37:55.5968200Z - 2022-11-23T01:37:55.5968329Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.5968394Z { 2022-11-23T01:37:55.5968539Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.5968650Z 'code': None, 2022-11-23T01:37:55.5968851Z 'obj_weakref': 2022-11-23T01:37:55.5969108Z 'guarded_class': 2022-11-23T01:37:55.5969209Z } 2022-11-23T01:37:55.5969274Z 2022-11-23T01:37:55.5969346Z - 2022-11-23T01:37:55.5969480Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.5969545Z { 2022-11-23T01:37:55.5969670Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.5969846Z 'code': ['___check_obj_id(model, 140538441420240)'], 2022-11-23T01:37:55.5969968Z 'obj_weakref': None 2022-11-23T01:37:55.5970205Z 'guarded_class': 2022-11-23T01:37:55.5970271Z } 2022-11-23T01:37:55.5970334Z 2022-11-23T01:37:55.5970406Z - 2022-11-23T01:37:55.5970517Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.5970582Z { 2022-11-23T01:37:55.5970721Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.5970945Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.5971067Z 'obj_weakref': None 2022-11-23T01:37:55.5971294Z 'guarded_class': 2022-11-23T01:37:55.5971357Z } 2022-11-23T01:37:55.5971407Z 2022-11-23T01:37:55.5971476Z - 2022-11-23T01:37:55.5971658Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:37:55.5971719Z { 2022-11-23T01:37:55.5971889Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:37:55.5972633Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93851402555296)', 'len(model.__closure__[0].cell_contents) == 4', '___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[2], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[3], 93851402553120)', 'model.__closure__[0].cell_contents == [2, 2, 2, 2]'], 2022-11-23T01:37:55.5972758Z 'obj_weakref': None 2022-11-23T01:37:55.5972981Z 'guarded_class': 2022-11-23T01:37:55.5973044Z } 2022-11-23T01:37:55.5973094Z 2022-11-23T01:37:55.5973164Z - 2022-11-23T01:37:55.5973354Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:37:55.5973416Z { 2022-11-23T01:37:55.5973559Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5973848Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents[0] == 2'], 2022-11-23T01:37:55.5973968Z 'obj_weakref': None 2022-11-23T01:37:55.5974176Z 'guarded_class': 2022-11-23T01:37:55.5974240Z } 2022-11-23T01:37:55.5974306Z 2022-11-23T01:37:55.5974377Z - 2022-11-23T01:37:55.5974564Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:37:55.5974626Z { 2022-11-23T01:37:55.5974770Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5975072Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents[1] == 2'], 2022-11-23T01:37:55.5975195Z 'obj_weakref': None 2022-11-23T01:37:55.5975417Z 'guarded_class': 2022-11-23T01:37:55.5975479Z } 2022-11-23T01:37:55.5975541Z 2022-11-23T01:37:55.5975611Z - 2022-11-23T01:37:55.5975796Z local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH 2022-11-23T01:37:55.5975846Z { 2022-11-23T01:37:55.5975989Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5976270Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 93851402553120)', 'model.__closure__[0].cell_contents[2] == 2'], 2022-11-23T01:37:55.5976425Z 'obj_weakref': None 2022-11-23T01:37:55.5976648Z 'guarded_class': 2022-11-23T01:37:55.5976709Z } 2022-11-23T01:37:55.5976774Z 2022-11-23T01:37:55.5976833Z - 2022-11-23T01:37:55.5977018Z local 'model.__closure__[0].cell_contents[3]' CONSTANT_MATCH 2022-11-23T01:37:55.5977080Z { 2022-11-23T01:37:55.5977224Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.5977507Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[3], 93851402553120)', 'model.__closure__[0].cell_contents[3] == 2'], 2022-11-23T01:37:55.5977626Z 'obj_weakref': None 2022-11-23T01:37:55.5977847Z 'guarded_class': 2022-11-23T01:37:55.5977917Z } 2022-11-23T01:37:55.5977967Z 2022-11-23T01:37:55.5978232Z [2022-11-23 01:36:27,453] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 441 2022-11-23T01:37:55.5978603Z [2022-11-23 01:36:27,465] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/g7/cg766acbvbre5m7j6gw3oylczmn63rwihnz25almso45rbkpeplo.py 2022-11-23T01:37:55.5979110Z [2022-11-23 01:36:27,465] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 441 2022-11-23T01:37:55.5979119Z 2022-11-23T01:37:55.5979123Z 2022-11-23T01:37:55.5979222Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.5979292Z import torch 2022-11-23T01:37:55.5979360Z import random 2022-11-23T01:37:55.5979476Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.5979584Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.5979601Z 2022-11-23T01:37:55.5979667Z aten = torch.ops.aten 2022-11-23T01:37:55.5979804Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.5979897Z async_compile = AsyncCompile() 2022-11-23T01:37:55.5979902Z 2022-11-23T01:37:55.5979907Z 2022-11-23T01:37:55.5980052Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.5980263Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.5980382Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.5980487Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.5980575Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.5980635Z { 2022-11-23T01:37:55.5980716Z for(long i0=0; i0<125; i0+=1) 2022-11-23T01:37:55.5980778Z { 2022-11-23T01:37:55.5980920Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.5981050Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.5981180Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:55.5981271Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5981340Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.5981428Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.5981488Z } 2022-11-23T01:37:55.5981578Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.5981720Z for(long i0=1000; i0<1000; i0+=1) 2022-11-23T01:37:55.5981784Z { 2022-11-23T01:37:55.5981869Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.5981937Z auto tmp3 = in_ptr1[i0]; 2022-11-23T01:37:55.5982033Z auto tmp1 = static_cast(1); 2022-11-23T01:37:55.5982113Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5982192Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.5982268Z out_ptr0[i0] = tmp4; 2022-11-23T01:37:55.5982330Z } 2022-11-23T01:37:55.5982377Z } 2022-11-23T01:37:55.5982460Z ''') 2022-11-23T01:37:55.5982465Z 2022-11-23T01:37:55.5982469Z 2022-11-23T01:37:55.5982557Z async_compile.wait(globals()) 2022-11-23T01:37:55.5982673Z del async_compile 2022-11-23T01:37:55.5982677Z 2022-11-23T01:37:55.5982747Z def call(args): 2022-11-23T01:37:55.5982825Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.5982896Z args.clear() 2022-11-23T01:37:55.5983134Z buf0 = empty_strided((10, 1, 10, 1, 10), (100, 1000, 10, 1000, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5983288Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.5983355Z del arg0_1 2022-11-23T01:37:55.5983423Z del arg1_1 2022-11-23T01:37:55.5983494Z return (buf0, ) 2022-11-23T01:37:55.5983499Z 2022-11-23T01:37:55.5983503Z 2022-11-23T01:37:55.5983577Z if __name__ == "__main__": 2022-11-23T01:37:55.5983688Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.5983811Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.5984016Z arg0_1 = rand_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5984238Z arg1_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5984354Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.5984359Z 2022-11-23T01:37:55.5984363Z 2022-11-23T01:37:55.5984456Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.5984530Z import torch 2022-11-23T01:37:55.5984598Z import random 2022-11-23T01:37:55.5984712Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.5984831Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.5984835Z 2022-11-23T01:37:55.5984911Z aten = torch.ops.aten 2022-11-23T01:37:55.5985035Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.5985126Z async_compile = AsyncCompile() 2022-11-23T01:37:55.5985130Z 2022-11-23T01:37:55.5985134Z 2022-11-23T01:37:55.5985270Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.5985477Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.5985598Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.5985702Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.5985801Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.5985859Z { 2022-11-23T01:37:55.5985928Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:55.5985987Z { 2022-11-23T01:37:55.5986119Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.5986250Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.5986331Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5986418Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.5986476Z } 2022-11-23T01:37:55.5986550Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.5986630Z for(long i0=16; i0<16; i0+=1) 2022-11-23T01:37:55.5986690Z { 2022-11-23T01:37:55.5986770Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.5986851Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.5986929Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5986992Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.5987053Z } 2022-11-23T01:37:55.5987112Z } 2022-11-23T01:37:55.5987191Z ''') 2022-11-23T01:37:55.5987196Z 2022-11-23T01:37:55.5987200Z 2022-11-23T01:37:55.5987314Z async_compile.wait(globals()) 2022-11-23T01:37:55.5987386Z del async_compile 2022-11-23T01:37:55.5987391Z 2022-11-23T01:37:55.5987460Z def call(args): 2022-11-23T01:37:55.5987533Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.5987591Z args.clear() 2022-11-23T01:37:55.5987803Z buf0 = empty_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5987966Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.5988034Z del arg0_1 2022-11-23T01:37:55.5988167Z del arg1_1 2022-11-23T01:37:55.5988247Z return (buf0, ) 2022-11-23T01:37:55.5988300Z 2022-11-23T01:37:55.5988304Z 2022-11-23T01:37:55.5988383Z if __name__ == "__main__": 2022-11-23T01:37:55.5988484Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.5988606Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.5988810Z arg0_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5989024Z arg1_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5989141Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.5989146Z 2022-11-23T01:37:55.5989150Z 2022-11-23T01:37:55.5989280Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.5989386Z import torch 2022-11-23T01:37:55.5989498Z import random 2022-11-23T01:37:55.5989604Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.5989722Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.5989727Z 2022-11-23T01:37:55.5989805Z aten = torch.ops.aten 2022-11-23T01:37:55.5989940Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.5990029Z async_compile = AsyncCompile() 2022-11-23T01:37:55.5990034Z 2022-11-23T01:37:55.5990039Z 2022-11-23T01:37:55.5990181Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.5990388Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.5990507Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.5990599Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.5990700Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.5990761Z { 2022-11-23T01:37:55.5990838Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:55.5990898Z { 2022-11-23T01:37:55.5991033Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.5991163Z auto tmp3 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.5991295Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:55.5991368Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5991448Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.5991535Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.5991593Z } 2022-11-23T01:37:55.5991679Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.5991760Z for(long i0=16; i0<16; i0+=1) 2022-11-23T01:37:55.5991819Z { 2022-11-23T01:37:55.5991887Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.5991965Z auto tmp3 = in_ptr1[i0]; 2022-11-23T01:37:55.5992062Z auto tmp1 = static_cast(1); 2022-11-23T01:37:55.5992143Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.5992221Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.5992298Z out_ptr0[i0] = tmp4; 2022-11-23T01:37:55.5992345Z } 2022-11-23T01:37:55.5992408Z } 2022-11-23T01:37:55.5992535Z ''') 2022-11-23T01:37:55.5992542Z 2022-11-23T01:37:55.5992549Z 2022-11-23T01:37:55.5992665Z async_compile.wait(globals()) 2022-11-23T01:37:55.5992743Z del async_compile 2022-11-23T01:37:55.5992748Z 2022-11-23T01:37:55.5992818Z def call(args): 2022-11-23T01:37:55.5992891Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.5992962Z args.clear() 2022-11-23T01:37:55.5993163Z buf0 = empty_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5993363Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.5993434Z del arg0_1 2022-11-23T01:37:55.5993500Z del arg1_1 2022-11-23T01:37:55.5993570Z return (buf0, ) 2022-11-23T01:37:55.5993575Z 2022-11-23T01:37:55.5993579Z 2022-11-23T01:37:55.5993653Z if __name__ == "__main__": 2022-11-23T01:37:55.5993769Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.5993880Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.5994079Z arg0_1 = rand_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5994329Z arg1_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.5994443Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.5994448Z 2022-11-23T01:37:55.5994515Z ok (15.177s) 2022-11-23T01:37:55.5994828Z test_views2_cpu (__main__.CpuTests) ... [2022-11-23 01:36:27,470] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.5995106Z [2022-11-23 01:36:27,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.5995329Z [2022-11-23 01:36:27,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.5995588Z [2022-11-23 01:36:27,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.5995865Z [2022-11-23 01:36:27,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.5996193Z [2022-11-23 01:36:27,470] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.5996528Z [2022-11-23 01:36:27,471] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.5996623Z 964 0 LOAD_FAST 0 (x) 2022-11-23T01:37:55.5996715Z 2 LOAD_METHOD 0 (view) 2022-11-23T01:37:55.5996808Z 4 LOAD_DEREF 0 (size2) 2022-11-23T01:37:55.5996893Z 6 CALL_METHOD 1 2022-11-23T01:37:55.5996981Z 8 LOAD_CONST 1 (1) 2022-11-23T01:37:55.5997041Z 10 BINARY_ADD 2022-11-23T01:37:55.5997130Z 12 BUILD_TUPLE 1 2022-11-23T01:37:55.5997204Z 14 RETURN_VALUE 2022-11-23T01:37:55.5997264Z 2022-11-23T01:37:55.5997269Z 2022-11-23T01:37:55.5997539Z [2022-11-23 01:36:27,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:964 2022-11-23T01:37:55.5997754Z [2022-11-23 01:36:27,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.5998000Z [2022-11-23 01:36:27,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:37:55.5998288Z [2022-11-23 01:36:27,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:37:55.5998594Z [2022-11-23 01:36:27,471] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:37:55.5998823Z [2022-11-23 01:36:27,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:37:55.5999106Z [2022-11-23 01:36:27,472] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.5999353Z [2022-11-23 01:36:27,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.5999600Z [2022-11-23 01:36:27,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.5999968Z [2022-11-23 01:36:27,473] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.6000220Z [2022-11-23 01:36:27,473] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6000457Z [2022-11-23 01:36:27,473] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.6000710Z [2022-11-23 01:36:27,474] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.6000966Z [2022-11-23 01:36:27,477] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.6001146Z [2022-11-23 01:36:27,477] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6001314Z __compiled_fn_450 .3519 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6001403Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.6001550Z call_method, view, view, (ex_0_, [4, -1]), {} 2022-11-23T01:37:55.6001728Z call_function, add, , (view, 1), {} 2022-11-23T01:37:55.6001823Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.6001828Z 2022-11-23T01:37:55.6002108Z [2022-11-23 01:36:27,478] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6002201Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6002278Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6002369Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.6002461Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.6002539Z 8 RETURN_VALUE 2022-11-23T01:37:55.6002547Z 2022-11-23T01:37:55.6002610Z 2022-11-23T01:37:55.6002887Z [2022-11-23 01:36:27,478] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6002996Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_450) 2022-11-23T01:37:55.6003088Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6003167Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6003244Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6003333Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.6003439Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6009479Z 12 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:55.6009602Z 14 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:55.6009697Z 16 CALL_FUNCTION 0 2022-11-23T01:37:55.6009784Z 18 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:55.6009894Z 20 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6009982Z 22 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6010061Z 24 BINARY_SUBSCR 2022-11-23T01:37:55.6010150Z 26 BUILD_TUPLE 1 2022-11-23T01:37:55.6010242Z 28 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6010345Z 30 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.6010421Z 32 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6010499Z 34 BINARY_SUBSCR 2022-11-23T01:37:55.6010601Z 36 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:55.6010691Z 38 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6010788Z 40 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.6010875Z 42 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6010950Z 44 BINARY_SUBSCR 2022-11-23T01:37:55.6011040Z 46 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:55.6011117Z 48 RETURN_VALUE 2022-11-23T01:37:55.6011124Z 2022-11-23T01:37:55.6011185Z 2022-11-23T01:37:55.6011399Z [2022-11-23 01:36:27,479] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6011473Z - 2022-11-23T01:37:55.6011598Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.6011731Z { 2022-11-23T01:37:55.6011868Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6012061Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.6012184Z 'obj_weakref': None 2022-11-23T01:37:55.6012415Z 'guarded_class': 2022-11-23T01:37:55.6012482Z } 2022-11-23T01:37:55.6012547Z 2022-11-23T01:37:55.6012619Z - 2022-11-23T01:37:55.6012735Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.6012800Z { 2022-11-23T01:37:55.6013005Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6013117Z 'code': None, 2022-11-23T01:37:55.6013339Z 'obj_weakref': 2022-11-23T01:37:55.6013601Z 'guarded_class': 2022-11-23T01:37:55.6013668Z } 2022-11-23T01:37:55.6013732Z 2022-11-23T01:37:55.6013791Z - 2022-11-23T01:37:55.6013926Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.6013990Z { 2022-11-23T01:37:55.6014128Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6014305Z 'code': ['___check_obj_id(model, 140538739934848)'], 2022-11-23T01:37:55.6014427Z 'obj_weakref': None 2022-11-23T01:37:55.6014660Z 'guarded_class': 2022-11-23T01:37:55.6014712Z } 2022-11-23T01:37:55.6014777Z 2022-11-23T01:37:55.6014849Z - 2022-11-23T01:37:55.6014976Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.6015042Z { 2022-11-23T01:37:55.6015180Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.6015390Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.6015512Z 'obj_weakref': None 2022-11-23T01:37:55.6015737Z 'guarded_class': 2022-11-23T01:37:55.6015804Z } 2022-11-23T01:37:55.6015867Z 2022-11-23T01:37:55.6015939Z - 2022-11-23T01:37:55.6016122Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:37:55.6016174Z { 2022-11-23T01:37:55.6016348Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:37:55.6016896Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93851402555296)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents == [4, -1]'], 2022-11-23T01:37:55.6017021Z 'obj_weakref': None 2022-11-23T01:37:55.6017246Z 'guarded_class': 2022-11-23T01:37:55.6017310Z } 2022-11-23T01:37:55.6017372Z 2022-11-23T01:37:55.6017443Z - 2022-11-23T01:37:55.6017617Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:37:55.6017680Z { 2022-11-23T01:37:55.6017824Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.6018111Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents[0] == 4'], 2022-11-23T01:37:55.6018234Z 'obj_weakref': None 2022-11-23T01:37:55.6018459Z 'guarded_class': 2022-11-23T01:37:55.6018524Z } 2022-11-23T01:37:55.6018588Z 2022-11-23T01:37:55.6018646Z - 2022-11-23T01:37:55.6019037Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:37:55.6019215Z { 2022-11-23T01:37:55.6019375Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.6019665Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents[1] == -1'], 2022-11-23T01:37:55.6019789Z 'obj_weakref': None 2022-11-23T01:37:55.6020014Z 'guarded_class': 2022-11-23T01:37:55.6020065Z } 2022-11-23T01:37:55.6020130Z 2022-11-23T01:37:55.6020396Z [2022-11-23 01:36:27,483] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 442 2022-11-23T01:37:55.6020822Z [2022-11-23 01:36:28,862] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ue/cueotkclhlpshinsidw4qjlvyc6o2cdp3b7thiw4z72mvpfggebb.py 2022-11-23T01:37:55.6021092Z [2022-11-23 01:36:28,862] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 442 2022-11-23T01:37:55.6021333Z [2022-11-23 01:36:28,868] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.6021607Z [2022-11-23 01:36:28,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.6021828Z [2022-11-23 01:36:28,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.6022086Z [2022-11-23 01:36:28,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.6022362Z [2022-11-23 01:36:28,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.6022692Z [2022-11-23 01:36:28,868] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.6023030Z [2022-11-23 01:36:28,869] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.6023124Z 967 0 LOAD_FAST 0 (x) 2022-11-23T01:37:55.6023217Z 2 LOAD_CONST 1 (2) 2022-11-23T01:37:55.6023296Z 4 BINARY_MULTIPLY 2022-11-23T01:37:55.6023390Z 6 LOAD_METHOD 0 (view) 2022-11-23T01:37:55.6023483Z 8 LOAD_DEREF 0 (size2) 2022-11-23T01:37:55.6023557Z 10 CALL_METHOD 1 2022-11-23T01:37:55.6023646Z 12 LOAD_CONST 2 (1) 2022-11-23T01:37:55.6023720Z 14 BINARY_ADD 2022-11-23T01:37:55.6023811Z 16 BUILD_TUPLE 1 2022-11-23T01:37:55.6023885Z 18 RETURN_VALUE 2022-11-23T01:37:55.6023945Z 2022-11-23T01:37:55.6023950Z 2022-11-23T01:37:55.6024220Z [2022-11-23 01:36:28,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:967 2022-11-23T01:37:55.6024438Z [2022-11-23 01:36:28,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.6024671Z [2022-11-23 01:36:28,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:37:55.6024965Z [2022-11-23 01:36:28,869] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.6025211Z [2022-11-23 01:36:28,870] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:37:55.6025500Z [2022-11-23 01:36:28,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:37:55.6025811Z [2022-11-23 01:36:28,871] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:37:55.6026052Z [2022-11-23 01:36:28,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:37:55.6026367Z [2022-11-23 01:36:28,872] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.6026616Z [2022-11-23 01:36:28,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.6026865Z [2022-11-23 01:36:28,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6027188Z [2022-11-23 01:36:28,873] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.6027437Z [2022-11-23 01:36:28,873] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6027707Z [2022-11-23 01:36:28,873] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.6027964Z [2022-11-23 01:36:28,875] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.6028294Z [2022-11-23 01:36:28,879] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.6028493Z [2022-11-23 01:36:28,879] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6028630Z __compiled_fn_451 .3525 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6028720Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.6028897Z call_function, mul, , (ex_0_, 2), {} 2022-11-23T01:37:55.6029029Z call_method, view, view, (mul, [4, -1]), {} 2022-11-23T01:37:55.6029204Z call_function, add, , (view, 1), {} 2022-11-23T01:37:55.6029302Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.6029309Z 2022-11-23T01:37:55.6029590Z [2022-11-23 01:36:28,879] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6029684Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6029775Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6029866Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.6029954Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.6030017Z 8 RETURN_VALUE 2022-11-23T01:37:55.6030022Z 2022-11-23T01:37:55.6030082Z 2022-11-23T01:37:55.6030358Z [2022-11-23 01:36:28,879] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6030468Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_451) 2022-11-23T01:37:55.6030556Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6030644Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6030721Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6030796Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.6030898Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6031024Z 12 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:55.6031121Z 14 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:55.6031211Z 16 CALL_FUNCTION 0 2022-11-23T01:37:55.6031306Z 18 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:55.6031408Z 20 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6031499Z 22 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6031563Z 24 BINARY_SUBSCR 2022-11-23T01:37:55.6031651Z 26 BUILD_TUPLE 1 2022-11-23T01:37:55.6031743Z 28 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6031843Z 30 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.6031933Z 32 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6032007Z 34 BINARY_SUBSCR 2022-11-23T01:37:55.6032110Z 36 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:55.6032188Z 38 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6032324Z 40 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.6032413Z 42 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6032488Z 44 BINARY_SUBSCR 2022-11-23T01:37:55.6032588Z 46 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:55.6032661Z 48 RETURN_VALUE 2022-11-23T01:37:55.6032667Z 2022-11-23T01:37:55.6032726Z 2022-11-23T01:37:55.6032901Z [2022-11-23 01:36:28,881] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6032973Z - 2022-11-23T01:37:55.6033093Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.6033159Z { 2022-11-23T01:37:55.6033338Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6033530Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.6033653Z 'obj_weakref': None 2022-11-23T01:37:55.6033866Z 'guarded_class': 2022-11-23T01:37:55.6033934Z } 2022-11-23T01:37:55.6033997Z 2022-11-23T01:37:55.6034072Z - 2022-11-23T01:37:55.6034199Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.6034263Z { 2022-11-23T01:37:55.6034409Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6034506Z 'code': None, 2022-11-23T01:37:55.6034723Z 'obj_weakref': 2022-11-23T01:37:55.6034977Z 'guarded_class': 2022-11-23T01:37:55.6035046Z } 2022-11-23T01:37:55.6035111Z 2022-11-23T01:37:55.6035183Z - 2022-11-23T01:37:55.6035318Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.6035369Z { 2022-11-23T01:37:55.6035507Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6035681Z 'code': ['___check_obj_id(model, 140538739936000)'], 2022-11-23T01:37:55.6035806Z 'obj_weakref': None 2022-11-23T01:37:55.6036040Z 'guarded_class': 2022-11-23T01:37:55.6036105Z } 2022-11-23T01:37:55.6036168Z 2022-11-23T01:37:55.6036226Z - 2022-11-23T01:37:55.6036349Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.6036412Z { 2022-11-23T01:37:55.6036552Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.6036775Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.6036900Z 'obj_weakref': None 2022-11-23T01:37:55.6037127Z 'guarded_class': 2022-11-23T01:37:55.6037176Z } 2022-11-23T01:37:55.6037237Z 2022-11-23T01:37:55.6037309Z - 2022-11-23T01:37:55.6037491Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:37:55.6037557Z { 2022-11-23T01:37:55.6037728Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:37:55.6038274Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93851402555296)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents == [4, -1]'], 2022-11-23T01:37:55.6038398Z 'obj_weakref': None 2022-11-23T01:37:55.6038608Z 'guarded_class': 2022-11-23T01:37:55.6038675Z } 2022-11-23T01:37:55.6038736Z 2022-11-23T01:37:55.6038807Z - 2022-11-23T01:37:55.6038998Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:37:55.6039062Z { 2022-11-23T01:37:55.6039238Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.6039513Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents[0] == 4'], 2022-11-23T01:37:55.6039636Z 'obj_weakref': None 2022-11-23T01:37:55.6039859Z 'guarded_class': 2022-11-23T01:37:55.6039921Z } 2022-11-23T01:37:55.6039984Z 2022-11-23T01:37:55.6040055Z - 2022-11-23T01:37:55.6040244Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:37:55.6040294Z { 2022-11-23T01:37:55.6040491Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.6040777Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents[1] == -1'], 2022-11-23T01:37:55.6040896Z 'obj_weakref': None 2022-11-23T01:37:55.6041120Z 'guarded_class': 2022-11-23T01:37:55.6041183Z } 2022-11-23T01:37:55.6041247Z 2022-11-23T01:37:55.6041510Z [2022-11-23 01:36:28,888] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 443 2022-11-23T01:37:55.6041872Z [2022-11-23 01:36:30,415] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/br/cbrrj4anct3qqfwveoa3dl5wdkdob2qaggojhgdgtejlynkj6deq.py 2022-11-23T01:37:55.6042143Z [2022-11-23 01:36:30,416] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 443 2022-11-23T01:37:55.6042386Z [2022-11-23 01:36:30,421] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.6042689Z [2022-11-23 01:36:30,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.6043008Z [2022-11-23 01:36:30,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.6043267Z [2022-11-23 01:36:30,421] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.6043560Z [2022-11-23 01:36:30,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.6043885Z [2022-11-23 01:36:30,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.6044217Z [2022-11-23 01:36:30,422] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.6044313Z 964 0 LOAD_FAST 0 (x) 2022-11-23T01:37:55.6044395Z 2 LOAD_METHOD 0 (view) 2022-11-23T01:37:55.6044489Z 4 LOAD_DEREF 0 (size2) 2022-11-23T01:37:55.6044579Z 6 CALL_METHOD 1 2022-11-23T01:37:55.6044670Z 8 LOAD_CONST 1 (1) 2022-11-23T01:37:55.6044744Z 10 BINARY_ADD 2022-11-23T01:37:55.6044832Z 12 BUILD_TUPLE 1 2022-11-23T01:37:55.6044907Z 14 RETURN_VALUE 2022-11-23T01:37:55.6044955Z 2022-11-23T01:37:55.6044960Z 2022-11-23T01:37:55.6045229Z [2022-11-23 01:36:30,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:964 2022-11-23T01:37:55.6045442Z [2022-11-23 01:36:30,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.6045687Z [2022-11-23 01:36:30,422] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:37:55.6045978Z [2022-11-23 01:36:30,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:37:55.6046286Z [2022-11-23 01:36:30,423] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:37:55.6046565Z [2022-11-23 01:36:30,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:37:55.6046850Z [2022-11-23 01:36:30,424] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.6047094Z [2022-11-23 01:36:30,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.6047330Z [2022-11-23 01:36:30,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6047664Z [2022-11-23 01:36:30,425] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.6047944Z [2022-11-23 01:36:30,425] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6048184Z [2022-11-23 01:36:30,425] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.6048445Z [2022-11-23 01:36:30,427] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.6048697Z [2022-11-23 01:36:30,430] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.6048888Z [2022-11-23 01:36:30,431] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6049022Z __compiled_fn_452 .3531 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6049110Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.6049247Z call_method, view, view, (ex_0_, [-1, 100]), {} 2022-11-23T01:37:55.6049428Z call_function, add, , (view, 1), {} 2022-11-23T01:37:55.6049528Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.6049534Z 2022-11-23T01:37:55.6049812Z [2022-11-23 01:36:30,431] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6049908Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6050000Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6050094Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.6050185Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.6050248Z 8 RETURN_VALUE 2022-11-23T01:37:55.6050254Z 2022-11-23T01:37:55.6050315Z 2022-11-23T01:37:55.6050595Z [2022-11-23 01:36:30,431] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6050704Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_452) 2022-11-23T01:37:55.6050799Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6050889Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6050967Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6051044Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.6051148Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6051279Z 12 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:55.6051375Z 14 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:55.6051465Z 16 CALL_FUNCTION 0 2022-11-23T01:37:55.6051561Z 18 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:55.6051663Z 20 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6051752Z 22 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6051818Z 24 BINARY_SUBSCR 2022-11-23T01:37:55.6051906Z 26 BUILD_TUPLE 1 2022-11-23T01:37:55.6052002Z 28 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6052103Z 30 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.6052192Z 32 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6052271Z 34 BINARY_SUBSCR 2022-11-23T01:37:55.6052372Z 36 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:55.6052483Z 38 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6052583Z 40 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.6052670Z 42 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6052746Z 44 BINARY_SUBSCR 2022-11-23T01:37:55.6052845Z 46 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:55.6052922Z 48 RETURN_VALUE 2022-11-23T01:37:55.6052927Z 2022-11-23T01:37:55.6052988Z 2022-11-23T01:37:55.6053163Z [2022-11-23 01:36:30,432] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6053236Z - 2022-11-23T01:37:55.6053394Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.6053462Z { 2022-11-23T01:37:55.6053608Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6053800Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.6053927Z 'obj_weakref': None 2022-11-23T01:37:55.6054144Z 'guarded_class': 2022-11-23T01:37:55.6054210Z } 2022-11-23T01:37:55.6054273Z 2022-11-23T01:37:55.6054346Z - 2022-11-23T01:37:55.6054476Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.6054542Z { 2022-11-23T01:37:55.6054688Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6054785Z 'code': None, 2022-11-23T01:37:55.6055003Z 'obj_weakref': 2022-11-23T01:37:55.6055259Z 'guarded_class': 2022-11-23T01:37:55.6055327Z } 2022-11-23T01:37:55.6055391Z 2022-11-23T01:37:55.6055463Z - 2022-11-23T01:37:55.6055600Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.6055651Z { 2022-11-23T01:37:55.6055791Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6055966Z 'code': ['___check_obj_id(model, 140538739934848)'], 2022-11-23T01:37:55.6056087Z 'obj_weakref': None 2022-11-23T01:37:55.6056318Z 'guarded_class': 2022-11-23T01:37:55.6056380Z } 2022-11-23T01:37:55.6056442Z 2022-11-23T01:37:55.6056502Z - 2022-11-23T01:37:55.6056626Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.6056687Z { 2022-11-23T01:37:55.6056824Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.6057044Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.6057168Z 'obj_weakref': None 2022-11-23T01:37:55.6057390Z 'guarded_class': 2022-11-23T01:37:55.6057440Z } 2022-11-23T01:37:55.6057502Z 2022-11-23T01:37:55.6057571Z - 2022-11-23T01:37:55.6057754Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:37:55.6057819Z { 2022-11-23T01:37:55.6057991Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:37:55.6058541Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93851402555296)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents == [-1, 100]'], 2022-11-23T01:37:55.6058664Z 'obj_weakref': None 2022-11-23T01:37:55.6059063Z 'guarded_class': 2022-11-23T01:37:55.6059135Z } 2022-11-23T01:37:55.6059197Z 2022-11-23T01:37:55.6059273Z - 2022-11-23T01:37:55.6059462Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:37:55.6059623Z { 2022-11-23T01:37:55.6059773Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.6060048Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents[0] == -1'], 2022-11-23T01:37:55.6060171Z 'obj_weakref': None 2022-11-23T01:37:55.6060395Z 'guarded_class': 2022-11-23T01:37:55.6060459Z } 2022-11-23T01:37:55.6060519Z 2022-11-23T01:37:55.6060589Z - 2022-11-23T01:37:55.6060777Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:37:55.6060880Z { 2022-11-23T01:37:55.6061028Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.6061316Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents[1] == 100'], 2022-11-23T01:37:55.6061441Z 'obj_weakref': None 2022-11-23T01:37:55.6061664Z 'guarded_class': 2022-11-23T01:37:55.6061727Z } 2022-11-23T01:37:55.6061789Z 2022-11-23T01:37:55.6062051Z [2022-11-23 01:36:30,438] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 444 2022-11-23T01:37:55.6062410Z [2022-11-23 01:36:31,953] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tu/ctutvngb3nhp3uo4vydmewj7lyun7nndxye3ir2mfg7zbqd3qcsd.py 2022-11-23T01:37:55.6062679Z [2022-11-23 01:36:31,953] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 444 2022-11-23T01:37:55.6062920Z [2022-11-23 01:36:31,959] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.6063192Z [2022-11-23 01:36:31,959] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.6063414Z [2022-11-23 01:36:31,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.6063671Z [2022-11-23 01:36:31,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.6063961Z [2022-11-23 01:36:31,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.6064285Z [2022-11-23 01:36:31,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.6064616Z [2022-11-23 01:36:31,960] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.6064713Z 967 0 LOAD_FAST 0 (x) 2022-11-23T01:37:55.6064793Z 2 LOAD_CONST 1 (2) 2022-11-23T01:37:55.6064872Z 4 BINARY_MULTIPLY 2022-11-23T01:37:55.6064967Z 6 LOAD_METHOD 0 (view) 2022-11-23T01:37:55.6065061Z 8 LOAD_DEREF 0 (size2) 2022-11-23T01:37:55.6065146Z 10 CALL_METHOD 1 2022-11-23T01:37:55.6065233Z 12 LOAD_CONST 2 (1) 2022-11-23T01:37:55.6065304Z 14 BINARY_ADD 2022-11-23T01:37:55.6065379Z 16 BUILD_TUPLE 1 2022-11-23T01:37:55.6065453Z 18 RETURN_VALUE 2022-11-23T01:37:55.6065513Z 2022-11-23T01:37:55.6065519Z 2022-11-23T01:37:55.6065787Z [2022-11-23 01:36:31,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:967 2022-11-23T01:37:55.6066004Z [2022-11-23 01:36:31,960] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.6066248Z [2022-11-23 01:36:31,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:37:55.6066574Z [2022-11-23 01:36:31,961] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.6066819Z [2022-11-23 01:36:31,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:37:55.6067091Z [2022-11-23 01:36:31,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:37:55.6067396Z [2022-11-23 01:36:31,962] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:37:55.6067635Z [2022-11-23 01:36:31,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:37:55.6067948Z [2022-11-23 01:36:31,964] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.6068277Z [2022-11-23 01:36:31,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.6068538Z [2022-11-23 01:36:31,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6068874Z [2022-11-23 01:36:31,965] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.6069125Z [2022-11-23 01:36:31,965] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6069364Z [2022-11-23 01:36:31,965] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.6069622Z [2022-11-23 01:36:31,967] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.6069864Z [2022-11-23 01:36:31,970] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.6070055Z [2022-11-23 01:36:31,971] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6070190Z __compiled_fn_453 .3537 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6070283Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.6070460Z call_function, mul, , (ex_0_, 2), {} 2022-11-23T01:37:55.6070609Z call_method, view, view, (mul, [-1, 100]), {} 2022-11-23T01:37:55.6070784Z call_function, add, , (view, 1), {} 2022-11-23T01:37:55.6070878Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.6070886Z 2022-11-23T01:37:55.6071153Z [2022-11-23 01:36:31,971] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6071247Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6071339Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6071431Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.6071520Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.6071595Z 8 RETURN_VALUE 2022-11-23T01:37:55.6071600Z 2022-11-23T01:37:55.6071660Z 2022-11-23T01:37:55.6071926Z [2022-11-23 01:36:31,971] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6072036Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_453) 2022-11-23T01:37:55.6072124Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6072213Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6072288Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6072376Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.6072480Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6072605Z 12 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:55.6072690Z 14 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:55.6072777Z 16 CALL_FUNCTION 0 2022-11-23T01:37:55.6072872Z 18 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:55.6072970Z 20 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6073090Z 22 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6073168Z 24 BINARY_SUBSCR 2022-11-23T01:37:55.6073255Z 26 BUILD_TUPLE 1 2022-11-23T01:37:55.6073335Z 28 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6073431Z 30 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.6073518Z 32 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6073595Z 34 BINARY_SUBSCR 2022-11-23T01:37:55.6073694Z 36 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:55.6073785Z 38 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6073911Z 40 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.6073985Z 42 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6074058Z 44 BINARY_SUBSCR 2022-11-23T01:37:55.6074156Z 46 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:55.6074232Z 48 RETURN_VALUE 2022-11-23T01:37:55.6074237Z 2022-11-23T01:37:55.6074296Z 2022-11-23T01:37:55.6074482Z [2022-11-23 01:36:31,972] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6074553Z - 2022-11-23T01:37:55.6074674Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.6074726Z { 2022-11-23T01:37:55.6074868Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6075057Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.6075178Z 'obj_weakref': None 2022-11-23T01:37:55.6075405Z 'guarded_class': 2022-11-23T01:37:55.6075471Z } 2022-11-23T01:37:55.6075534Z 2022-11-23T01:37:55.6075593Z - 2022-11-23T01:37:55.6075718Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.6075781Z { 2022-11-23T01:37:55.6075924Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6076034Z 'code': None, 2022-11-23T01:37:55.6076252Z 'obj_weakref': 2022-11-23T01:37:55.6076506Z 'guarded_class': 2022-11-23T01:37:55.6076556Z } 2022-11-23T01:37:55.6076617Z 2022-11-23T01:37:55.6076689Z - 2022-11-23T01:37:55.6076820Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.6076884Z { 2022-11-23T01:37:55.6077020Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6077191Z 'code': ['___check_obj_id(model, 140538739936000)'], 2022-11-23T01:37:55.6077302Z 'obj_weakref': None 2022-11-23T01:37:55.6077534Z 'guarded_class': 2022-11-23T01:37:55.6077598Z } 2022-11-23T01:37:55.6077660Z 2022-11-23T01:37:55.6077731Z - 2022-11-23T01:37:55.6077856Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.6077908Z { 2022-11-23T01:37:55.6078046Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.6078263Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.6078383Z 'obj_weakref': None 2022-11-23T01:37:55.6078604Z 'guarded_class': 2022-11-23T01:37:55.6078666Z } 2022-11-23T01:37:55.6078727Z 2022-11-23T01:37:55.6078797Z - 2022-11-23T01:37:55.6078968Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:37:55.6079032Z { 2022-11-23T01:37:55.6079200Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:37:55.6079790Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93851402555296)', 'len(model.__closure__[0].cell_contents) == 2', '___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents == [-1, 100]'], 2022-11-23T01:37:55.6079916Z 'obj_weakref': None 2022-11-23T01:37:55.6080139Z 'guarded_class': 2022-11-23T01:37:55.6080202Z } 2022-11-23T01:37:55.6080264Z 2022-11-23T01:37:55.6080322Z - 2022-11-23T01:37:55.6080509Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:37:55.6080602Z { 2022-11-23T01:37:55.6080749Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.6081036Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents[0] == -1'], 2022-11-23T01:37:55.6081158Z 'obj_weakref': None 2022-11-23T01:37:55.6081381Z 'guarded_class': 2022-11-23T01:37:55.6081433Z } 2022-11-23T01:37:55.6081496Z 2022-11-23T01:37:55.6081566Z - 2022-11-23T01:37:55.6081755Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:37:55.6081817Z { 2022-11-23T01:37:55.6081963Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.6082251Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents[1] == 100'], 2022-11-23T01:37:55.6082360Z 'obj_weakref': None 2022-11-23T01:37:55.6082586Z 'guarded_class': 2022-11-23T01:37:55.6082650Z } 2022-11-23T01:37:55.6082712Z 2022-11-23T01:37:55.6082974Z [2022-11-23 01:36:31,982] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 445 2022-11-23T01:37:55.6083352Z [2022-11-23 01:36:33,366] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4o/c4oueladplf3izrdoovnddm7wtd7v54itd72ybcofuusogt5wa3u.py 2022-11-23T01:37:55.6083620Z [2022-11-23 01:36:33,366] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 445 2022-11-23T01:37:55.6083862Z [2022-11-23 01:36:33,372] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.6084134Z [2022-11-23 01:36:33,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.6084344Z [2022-11-23 01:36:33,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.6084601Z [2022-11-23 01:36:33,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.6084890Z [2022-11-23 01:36:33,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.6085219Z [2022-11-23 01:36:33,372] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.6085551Z [2022-11-23 01:36:33,373] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.6085643Z 964 0 LOAD_FAST 0 (x) 2022-11-23T01:37:55.6085737Z 2 LOAD_METHOD 0 (view) 2022-11-23T01:37:55.6085831Z 4 LOAD_DEREF 0 (size2) 2022-11-23T01:37:55.6085906Z 6 CALL_METHOD 1 2022-11-23T01:37:55.6085996Z 8 LOAD_CONST 1 (1) 2022-11-23T01:37:55.6086068Z 10 BINARY_ADD 2022-11-23T01:37:55.6086156Z 12 BUILD_TUPLE 1 2022-11-23T01:37:55.6086230Z 14 RETURN_VALUE 2022-11-23T01:37:55.6086290Z 2022-11-23T01:37:55.6086296Z 2022-11-23T01:37:55.6086594Z [2022-11-23 01:36:33,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:964 2022-11-23T01:37:55.6086808Z [2022-11-23 01:36:33,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.6087041Z [2022-11-23 01:36:33,373] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:37:55.6087325Z [2022-11-23 01:36:33,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:37:55.6087631Z [2022-11-23 01:36:33,374] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:37:55.6087906Z [2022-11-23 01:36:33,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:37:55.6088188Z [2022-11-23 01:36:33,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.6088434Z [2022-11-23 01:36:33,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.6088683Z [2022-11-23 01:36:33,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6089019Z [2022-11-23 01:36:33,376] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.6089266Z [2022-11-23 01:36:33,376] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6089503Z [2022-11-23 01:36:33,376] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.6089748Z [2022-11-23 01:36:33,378] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.6090063Z [2022-11-23 01:36:33,381] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.6090330Z [2022-11-23 01:36:33,382] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6090468Z __compiled_fn_454 .3543 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6090558Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.6090712Z call_method, view, view, (ex_0_, [10, -1, 20]), {} 2022-11-23T01:37:55.6090889Z call_function, add, , (view, 1), {} 2022-11-23T01:37:55.6090974Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.6090992Z 2022-11-23T01:37:55.6091258Z [2022-11-23 01:36:33,382] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6091354Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6091443Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6091534Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.6091623Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.6091699Z 8 RETURN_VALUE 2022-11-23T01:37:55.6091706Z 2022-11-23T01:37:55.6091769Z 2022-11-23T01:37:55.6092030Z [2022-11-23 01:36:33,382] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6092138Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_454) 2022-11-23T01:37:55.6092226Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6092313Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6092388Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6092476Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.6092579Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6092708Z 12 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:55.6092791Z 14 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:55.6092878Z 16 CALL_FUNCTION 0 2022-11-23T01:37:55.6092975Z 18 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:55.6093113Z 20 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6093206Z 22 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6093284Z 24 BINARY_SUBSCR 2022-11-23T01:37:55.6093374Z 26 BUILD_TUPLE 1 2022-11-23T01:37:55.6093453Z 28 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6093551Z 30 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.6093640Z 32 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6093717Z 34 BINARY_SUBSCR 2022-11-23T01:37:55.6093819Z 36 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:55.6093943Z 38 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6094041Z 40 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.6094116Z 42 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6094192Z 44 BINARY_SUBSCR 2022-11-23T01:37:55.6094296Z 46 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:55.6094373Z 48 RETURN_VALUE 2022-11-23T01:37:55.6094378Z 2022-11-23T01:37:55.6094439Z 2022-11-23T01:37:55.6094629Z [2022-11-23 01:36:33,384] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6094703Z - 2022-11-23T01:37:55.6094825Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.6094878Z { 2022-11-23T01:37:55.6095022Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6095212Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.6095337Z 'obj_weakref': None 2022-11-23T01:37:55.6095569Z 'guarded_class': 2022-11-23T01:37:55.6095636Z } 2022-11-23T01:37:55.6095702Z 2022-11-23T01:37:55.6095761Z - 2022-11-23T01:37:55.6095890Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.6095955Z { 2022-11-23T01:37:55.6096104Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6096216Z 'code': None, 2022-11-23T01:37:55.6096437Z 'obj_weakref': 2022-11-23T01:37:55.6096696Z 'guarded_class': 2022-11-23T01:37:55.6096747Z } 2022-11-23T01:37:55.6096813Z 2022-11-23T01:37:55.6096884Z - 2022-11-23T01:37:55.6097026Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.6097091Z { 2022-11-23T01:37:55.6097232Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6097405Z 'code': ['___check_obj_id(model, 140538739934848)'], 2022-11-23T01:37:55.6097513Z 'obj_weakref': None 2022-11-23T01:37:55.6097746Z 'guarded_class': 2022-11-23T01:37:55.6097812Z } 2022-11-23T01:37:55.6097877Z 2022-11-23T01:37:55.6097950Z - 2022-11-23T01:37:55.6098076Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.6098127Z { 2022-11-23T01:37:55.6098267Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.6098487Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.6098606Z 'obj_weakref': None 2022-11-23T01:37:55.6098991Z 'guarded_class': 2022-11-23T01:37:55.6099095Z } 2022-11-23T01:37:55.6099170Z 2022-11-23T01:37:55.6099243Z - 2022-11-23T01:37:55.6099413Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:37:55.6099480Z { 2022-11-23T01:37:55.6099651Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:37:55.6100365Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93851402555296)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[2], 93851402553120)', 'model.__closure__[0].cell_contents == [10, -1, 20]'], 2022-11-23T01:37:55.6100492Z 'obj_weakref': None 2022-11-23T01:37:55.6100719Z 'guarded_class': 2022-11-23T01:37:55.6100784Z } 2022-11-23T01:37:55.6100848Z 2022-11-23T01:37:55.6100950Z - 2022-11-23T01:37:55.6101141Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:37:55.6101206Z { 2022-11-23T01:37:55.6101354Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.6101644Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents[0] == 10'], 2022-11-23T01:37:55.6101768Z 'obj_weakref': None 2022-11-23T01:37:55.6101995Z 'guarded_class': 2022-11-23T01:37:55.6102045Z } 2022-11-23T01:37:55.6102109Z 2022-11-23T01:37:55.6102179Z - 2022-11-23T01:37:55.6102368Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:37:55.6102432Z { 2022-11-23T01:37:55.6102576Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.6102867Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents[1] == -1'], 2022-11-23T01:37:55.6102977Z 'obj_weakref': None 2022-11-23T01:37:55.6103203Z 'guarded_class': 2022-11-23T01:37:55.6103266Z } 2022-11-23T01:37:55.6103330Z 2022-11-23T01:37:55.6103399Z - 2022-11-23T01:37:55.6103586Z local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH 2022-11-23T01:37:55.6103650Z { 2022-11-23T01:37:55.6103781Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.6104066Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 93851402553120)', 'model.__closure__[0].cell_contents[2] == 20'], 2022-11-23T01:37:55.6104187Z 'obj_weakref': None 2022-11-23T01:37:55.6104408Z 'guarded_class': 2022-11-23T01:37:55.6104475Z } 2022-11-23T01:37:55.6104536Z 2022-11-23T01:37:55.6104800Z [2022-11-23 01:36:33,390] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 446 2022-11-23T01:37:55.6104807Z 2022-11-23T01:37:55.6104899Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.6104954Z import torch 2022-11-23T01:37:55.6105025Z import random 2022-11-23T01:37:55.6105139Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.6105259Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.6105264Z 2022-11-23T01:37:55.6105342Z aten = torch.ops.aten 2022-11-23T01:37:55.6105475Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.6105567Z async_compile = AsyncCompile() 2022-11-23T01:37:55.6105572Z 2022-11-23T01:37:55.6105576Z 2022-11-23T01:37:55.6105711Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.6105902Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.6106024Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.6106124Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.6106184Z { 2022-11-23T01:37:55.6106261Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:55.6106322Z { 2022-11-23T01:37:55.6106502Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.6106636Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:55.6106708Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6106795Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.6106857Z } 2022-11-23T01:37:55.6106947Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.6107026Z for(long i0=16; i0<16; i0+=1) 2022-11-23T01:37:55.6107087Z { 2022-11-23T01:37:55.6107155Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.6107250Z auto tmp1 = static_cast(1); 2022-11-23T01:37:55.6107331Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6107459Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.6107519Z } 2022-11-23T01:37:55.6107577Z } 2022-11-23T01:37:55.6107659Z ''') 2022-11-23T01:37:55.6107664Z 2022-11-23T01:37:55.6107668Z 2022-11-23T01:37:55.6107744Z async_compile.wait(globals()) 2022-11-23T01:37:55.6107815Z del async_compile 2022-11-23T01:37:55.6107820Z 2022-11-23T01:37:55.6107893Z def call(args): 2022-11-23T01:37:55.6107962Z arg0_1, = args 2022-11-23T01:37:55.6108031Z args.clear() 2022-11-23T01:37:55.6108304Z buf0 = empty_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6108437Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.6108505Z del arg0_1 2022-11-23T01:37:55.6108563Z return (buf0, ) 2022-11-23T01:37:55.6108568Z 2022-11-23T01:37:55.6108572Z 2022-11-23T01:37:55.6108648Z if __name__ == "__main__": 2022-11-23T01:37:55.6108761Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.6108887Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.6109102Z arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6109211Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.6109216Z 2022-11-23T01:37:55.6109220Z 2022-11-23T01:37:55.6109315Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.6109385Z import torch 2022-11-23T01:37:55.6109442Z import random 2022-11-23T01:37:55.6109555Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.6109675Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.6109680Z 2022-11-23T01:37:55.6109758Z aten = torch.ops.aten 2022-11-23T01:37:55.6109893Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.6109984Z async_compile = AsyncCompile() 2022-11-23T01:37:55.6109990Z 2022-11-23T01:37:55.6109994Z 2022-11-23T01:37:55.6110132Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.6110340Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.6110446Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.6110544Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.6110605Z { 2022-11-23T01:37:55.6110685Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:55.6110747Z { 2022-11-23T01:37:55.6110880Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.6111013Z auto tmp1 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:37:55.6111084Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.6111210Z auto tmp3 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:55.6111291Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.6111378Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.6111439Z } 2022-11-23T01:37:55.6111527Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.6111612Z for(long i0=16; i0<16; i0+=1) 2022-11-23T01:37:55.6111662Z { 2022-11-23T01:37:55.6111740Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.6111835Z auto tmp1 = static_cast(2); 2022-11-23T01:37:55.6111915Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.6112008Z auto tmp3 = static_cast(1); 2022-11-23T01:37:55.6112089Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.6112205Z out_ptr0[i0] = tmp4; 2022-11-23T01:37:55.6112253Z } 2022-11-23T01:37:55.6112313Z } 2022-11-23T01:37:55.6112393Z ''') 2022-11-23T01:37:55.6112398Z 2022-11-23T01:37:55.6112403Z 2022-11-23T01:37:55.6112490Z async_compile.wait(globals()) 2022-11-23T01:37:55.6112561Z del async_compile 2022-11-23T01:37:55.6112566Z 2022-11-23T01:37:55.6112635Z def call(args): 2022-11-23T01:37:55.6112703Z arg0_1, = args 2022-11-23T01:37:55.6112760Z args.clear() 2022-11-23T01:37:55.6112956Z buf0 = empty_strided((4, 4), (4, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6113088Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.6113188Z del arg0_1 2022-11-23T01:37:55.6113259Z return (buf0, ) 2022-11-23T01:37:55.6113263Z 2022-11-23T01:37:55.6113268Z 2022-11-23T01:37:55.6113341Z if __name__ == "__main__": 2022-11-23T01:37:55.6113453Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.6113575Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.6113776Z arg0_1 = rand_strided((2, 2, 2, 2), (8, 4, 2, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6113885Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.6113890Z 2022-11-23T01:37:55.6113895Z 2022-11-23T01:37:55.6113987Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.6114057Z import torch 2022-11-23T01:37:55.6114128Z import random 2022-11-23T01:37:55.6114241Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.6114358Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.6114366Z 2022-11-23T01:37:55.6114443Z aten = torch.ops.aten 2022-11-23T01:37:55.6114563Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.6114653Z async_compile = AsyncCompile() 2022-11-23T01:37:55.6114657Z 2022-11-23T01:37:55.6114661Z 2022-11-23T01:37:55.6114795Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.6115002Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.6115121Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.6115221Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.6115281Z { 2022-11-23T01:37:55.6115360Z for(long i0=0; i0<125; i0+=1) 2022-11-23T01:37:55.6115408Z { 2022-11-23T01:37:55.6115539Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.6115671Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:55.6115753Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6115843Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.6115903Z } 2022-11-23T01:37:55.6115989Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.6116060Z for(long i0=1000; i0<1000; i0+=1) 2022-11-23T01:37:55.6116118Z { 2022-11-23T01:37:55.6116198Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.6116294Z auto tmp1 = static_cast(1); 2022-11-23T01:37:55.6116374Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6116450Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.6116498Z } 2022-11-23T01:37:55.6116556Z } 2022-11-23T01:37:55.6116636Z ''') 2022-11-23T01:37:55.6116641Z 2022-11-23T01:37:55.6116645Z 2022-11-23T01:37:55.6116733Z async_compile.wait(globals()) 2022-11-23T01:37:55.6116806Z del async_compile 2022-11-23T01:37:55.6116810Z 2022-11-23T01:37:55.6116879Z def call(args): 2022-11-23T01:37:55.6116947Z arg0_1, = args 2022-11-23T01:37:55.6117015Z args.clear() 2022-11-23T01:37:55.6117208Z buf0 = empty_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6117344Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.6117410Z del arg0_1 2022-11-23T01:37:55.6117480Z return (buf0, ) 2022-11-23T01:37:55.6117485Z 2022-11-23T01:37:55.6117489Z 2022-11-23T01:37:55.6117563Z if __name__ == "__main__": 2022-11-23T01:37:55.6117706Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.6117829Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.6118062Z arg0_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6118157Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.6118162Z 2022-11-23T01:37:55.6118166Z 2022-11-23T01:37:55.6118259Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.6118328Z import torch 2022-11-23T01:37:55.6118396Z import random 2022-11-23T01:37:55.6118508Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.6118658Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.6118663Z 2022-11-23T01:37:55.6118742Z aten = torch.ops.aten 2022-11-23T01:37:55.6118862Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.6118951Z async_compile = AsyncCompile() 2022-11-23T01:37:55.6118956Z 2022-11-23T01:37:55.6118960Z 2022-11-23T01:37:55.6119098Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.6119302Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.6119421Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.6119521Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.6119578Z { 2022-11-23T01:37:55.6119658Z for(long i0=0; i0<125; i0+=1) 2022-11-23T01:37:55.6119707Z { 2022-11-23T01:37:55.6119839Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.6119971Z auto tmp1 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:37:55.6120056Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.6120185Z auto tmp3 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:55.6120265Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.6120354Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.6120417Z } 2022-11-23T01:37:55.6120495Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.6120578Z for(long i0=1000; i0<1000; i0+=1) 2022-11-23T01:37:55.6120637Z { 2022-11-23T01:37:55.6120716Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.6120810Z auto tmp1 = static_cast(2); 2022-11-23T01:37:55.6120891Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.6120973Z auto tmp3 = static_cast(1); 2022-11-23T01:37:55.6121054Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.6121131Z out_ptr0[i0] = tmp4; 2022-11-23T01:37:55.6121191Z } 2022-11-23T01:37:55.6121249Z } 2022-11-23T01:37:55.6121328Z ''') 2022-11-23T01:37:55.6121335Z 2022-11-23T01:37:55.6121340Z 2022-11-23T01:37:55.6121430Z async_compile.wait(globals()) 2022-11-23T01:37:55.6121500Z del async_compile 2022-11-23T01:37:55.6121505Z 2022-11-23T01:37:55.6121562Z def call(args): 2022-11-23T01:37:55.6121630Z arg0_1, = args 2022-11-23T01:37:55.6121700Z args.clear() 2022-11-23T01:37:55.6121907Z buf0 = empty_strided((10, 100), (100, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6122041Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.6122109Z del arg0_1 2022-11-23T01:37:55.6122179Z return (buf0, ) 2022-11-23T01:37:55.6122184Z 2022-11-23T01:37:55.6122188Z 2022-11-23T01:37:55.6122249Z if __name__ == "__main__": 2022-11-23T01:37:55.6122362Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.6122483Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.6122716Z arg0_1 = rand_strided((10, 1, 10, 1, 10), (100, 100, 10, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6122828Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.6122833Z 2022-11-23T01:37:55.6122837Z 2022-11-23T01:37:55.6122929Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.6122997Z import torch 2022-11-23T01:37:55.6123067Z import random 2022-11-23T01:37:55.6123170Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.6123318Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.6123323Z 2022-11-23T01:37:55.6123402Z aten = torch.ops.aten 2022-11-23T01:37:55.6123533Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.6123622Z async_compile = AsyncCompile() 2022-11-23T01:37:55.6123626Z 2022-11-23T01:37:55.6123630Z 2022-11-23T01:37:55.6123769Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.6123973Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.6124093Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.6124215Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.6124277Z { 2022-11-23T01:37:55.6124359Z for(long i0=0; i0<125; i0+=1) 2022-11-23T01:37:55.6124419Z { 2022-11-23T01:37:55.6124550Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.6124684Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:55.6124767Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6124842Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.6124906Z } 2022-11-23T01:37:55.6124993Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.6125077Z for(long i0=1000; i0<1000; i0+=1) 2022-11-23T01:37:55.6125140Z { 2022-11-23T01:37:55.6125222Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.6125319Z auto tmp1 = static_cast(1); 2022-11-23T01:37:55.6125388Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6125466Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.6125529Z } 2022-11-23T01:37:55.6125593Z } 2022-11-23T01:37:55.6125675Z ''') 2022-11-23T01:37:55.6125680Z 2022-11-23T01:37:55.6125684Z 2022-11-23T01:37:55.6125774Z async_compile.wait(globals()) 2022-11-23T01:37:55.6125853Z del async_compile 2022-11-23T01:37:55.6125857Z 2022-11-23T01:37:55.6125914Z def call(args): 2022-11-23T01:37:55.6125985Z arg0_1, = args 2022-11-23T01:37:55.6126061Z args.clear() 2022-11-23T01:37:55.6126274Z buf0 = empty_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6126408Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.6126476Z del arg0_1 2022-11-23T01:37:55.6126548Z return (buf0, ) 2022-11-23T01:37:55.6126553Z 2022-11-23T01:37:55.6126557Z 2022-11-23T01:37:55.6126633Z if __name__ == "__main__": 2022-11-23T01:37:55.6126734Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.6126857Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.6127063Z arg0_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6127171Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.6127546Z [2022-11-23 01:36:33,400] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/iw/ciwgbsccdcffe73f5coqzu67lg75ej2cxolkcvg2ukkb6nnxdtvr.py 2022-11-23T01:37:55.6127823Z [2022-11-23 01:36:33,400] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 446 2022-11-23T01:37:55.6128068Z [2022-11-23 01:36:33,403] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.6128342Z [2022-11-23 01:36:33,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.6128551Z [2022-11-23 01:36:33,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.6128812Z [2022-11-23 01:36:33,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.6129106Z [2022-11-23 01:36:33,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.6129437Z [2022-11-23 01:36:33,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.6129804Z [2022-11-23 01:36:33,403] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.6129902Z 967 0 LOAD_FAST 0 (x) 2022-11-23T01:37:55.6129992Z 2 LOAD_CONST 1 (2) 2022-11-23T01:37:55.6130077Z 4 BINARY_MULTIPLY 2022-11-23T01:37:55.6130171Z 6 LOAD_METHOD 0 (view) 2022-11-23T01:37:55.6130252Z 8 LOAD_DEREF 0 (size2) 2022-11-23T01:37:55.6130340Z 10 CALL_METHOD 1 2022-11-23T01:37:55.6130431Z 12 LOAD_CONST 2 (1) 2022-11-23T01:37:55.6130540Z 14 BINARY_ADD 2022-11-23T01:37:55.6130636Z 16 BUILD_TUPLE 1 2022-11-23T01:37:55.6130714Z 18 RETURN_VALUE 2022-11-23T01:37:55.6130777Z 2022-11-23T01:37:55.6130782Z 2022-11-23T01:37:55.6131046Z [2022-11-23 01:36:33,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:967 2022-11-23T01:37:55.6131264Z [2022-11-23 01:36:33,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [] 2022-11-23T01:37:55.6131508Z [2022-11-23 01:36:33,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable()] 2022-11-23T01:37:55.6131807Z [2022-11-23 01:36:33,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_MULTIPLY None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.6132056Z [2022-11-23 01:36:33,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TensorVariable()] 2022-11-23T01:37:55.6132344Z [2022-11-23 01:36:33,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF size2 [GetAttrVariable(TensorVariable(), view)] 2022-11-23T01:37:55.6132656Z [2022-11-23 01:36:33,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 1 [GetAttrVariable(TensorVariable(), view), ListVariable()] 2022-11-23T01:37:55.6132903Z [2022-11-23 01:36:33,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:37:55.6133183Z [2022-11-23 01:36:33,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.6133428Z [2022-11-23 01:36:33,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.6133665Z [2022-11-23 01:36:33,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6133998Z [2022-11-23 01:36:33,407] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.6134250Z [2022-11-23 01:36:33,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6134489Z [2022-11-23 01:36:33,407] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.6134750Z [2022-11-23 01:36:33,408] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.6135004Z [2022-11-23 01:36:33,412] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.6135196Z [2022-11-23 01:36:33,412] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6135331Z __compiled_fn_455 .3549 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6135419Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.6135582Z call_function, mul, , (ex_0_, 2), {} 2022-11-23T01:37:55.6135733Z call_method, view, view, (mul, [10, -1, 20]), {} 2022-11-23T01:37:55.6135911Z call_function, add, , (view, 1), {} 2022-11-23T01:37:55.6136005Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.6136011Z 2022-11-23T01:37:55.6136289Z [2022-11-23 01:36:33,412] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6136421Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6136515Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6136597Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.6136690Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.6136764Z 8 RETURN_VALUE 2022-11-23T01:37:55.6136769Z 2022-11-23T01:37:55.6136828Z 2022-11-23T01:37:55.6137107Z [2022-11-23 01:36:33,412] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6137216Z 296 0 LOAD_GLOBAL 4 (__compiled_fn_455) 2022-11-23T01:37:55.6137338Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6137426Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6137489Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6137577Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.6137681Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6137809Z 12 LOAD_GLOBAL 0 (__import_torch_dot__dynamo_dot_utils) 2022-11-23T01:37:55.6137902Z 14 LOAD_ATTR 1 (make_cell) 2022-11-23T01:37:55.6137988Z 16 CALL_FUNCTION 0 2022-11-23T01:37:55.6138083Z 18 STORE_FAST 4 (___tmp_1) 2022-11-23T01:37:55.6138171Z 20 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6138259Z 22 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6138334Z 24 BINARY_SUBSCR 2022-11-23T01:37:55.6138421Z 26 BUILD_TUPLE 1 2022-11-23T01:37:55.6138511Z 28 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6138611Z 30 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.6138698Z 32 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6138929Z 34 BINARY_SUBSCR 2022-11-23T01:37:55.6139075Z 36 LOAD_ATTR 2 (cell_contents) 2022-11-23T01:37:55.6139175Z 38 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6139272Z 40 LOAD_ATTR 3 (__closure__) 2022-11-23T01:37:55.6139358Z 42 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6139433Z 44 BINARY_SUBSCR 2022-11-23T01:37:55.6139535Z 46 STORE_ATTR 2 (cell_contents) 2022-11-23T01:37:55.6139609Z 48 RETURN_VALUE 2022-11-23T01:37:55.6139614Z 2022-11-23T01:37:55.6139662Z 2022-11-23T01:37:55.6139857Z [2022-11-23 01:36:33,414] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6139929Z - 2022-11-23T01:37:55.6140055Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.6140120Z { 2022-11-23T01:37:55.6140265Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6140455Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.6140564Z 'obj_weakref': None 2022-11-23T01:37:55.6140791Z 'guarded_class': 2022-11-23T01:37:55.6140855Z } 2022-11-23T01:37:55.6140917Z 2022-11-23T01:37:55.6140988Z - 2022-11-23T01:37:55.6141114Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.6141178Z { 2022-11-23T01:37:55.6141309Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6141421Z 'code': None, 2022-11-23T01:37:55.6141637Z 'obj_weakref': 2022-11-23T01:37:55.6141891Z 'guarded_class': 2022-11-23T01:37:55.6141956Z } 2022-11-23T01:37:55.6142019Z 2022-11-23T01:37:55.6142088Z - 2022-11-23T01:37:55.6142208Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.6142270Z { 2022-11-23T01:37:55.6142407Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6142649Z 'code': ['___check_obj_id(model, 140538739936000)'], 2022-11-23T01:37:55.6142776Z 'obj_weakref': None 2022-11-23T01:37:55.6143010Z 'guarded_class': 2022-11-23T01:37:55.6143073Z } 2022-11-23T01:37:55.6143122Z 2022-11-23T01:37:55.6143190Z - 2022-11-23T01:37:55.6143314Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.6143395Z { 2022-11-23T01:37:55.6143611Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.6143844Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.6144034Z 'obj_weakref': None 2022-11-23T01:37:55.6144247Z 'guarded_class': 2022-11-23T01:37:55.6144312Z } 2022-11-23T01:37:55.6144374Z 2022-11-23T01:37:55.6144445Z - 2022-11-23T01:37:55.6144627Z local 'model.__closure__[0].cell_contents' EQUALS_MATCH 2022-11-23T01:37:55.6144690Z { 2022-11-23T01:37:55.6144859Z 'guard_types': ['LIST_LENGTH', 'EQUALS_MATCH'], 2022-11-23T01:37:55.6145516Z 'code': ['___check_type_id(model.__closure__[0].cell_contents, 93851402555296)', 'len(model.__closure__[0].cell_contents) == 3', '___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', '___check_type_id(model.__closure__[0].cell_contents[2], 93851402553120)', 'model.__closure__[0].cell_contents == [10, -1, 20]'], 2022-11-23T01:37:55.6145629Z 'obj_weakref': None 2022-11-23T01:37:55.6145850Z 'guarded_class': 2022-11-23T01:37:55.6145916Z } 2022-11-23T01:37:55.6145978Z 2022-11-23T01:37:55.6146049Z - 2022-11-23T01:37:55.6146238Z local 'model.__closure__[0].cell_contents[0]' CONSTANT_MATCH 2022-11-23T01:37:55.6146305Z { 2022-11-23T01:37:55.6146438Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.6146723Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[0], 93851402553120)', 'model.__closure__[0].cell_contents[0] == 10'], 2022-11-23T01:37:55.6146843Z 'obj_weakref': None 2022-11-23T01:37:55.6147066Z 'guarded_class': 2022-11-23T01:37:55.6147129Z } 2022-11-23T01:37:55.6147190Z 2022-11-23T01:37:55.6147264Z - 2022-11-23T01:37:55.6147441Z local 'model.__closure__[0].cell_contents[1]' CONSTANT_MATCH 2022-11-23T01:37:55.6147507Z { 2022-11-23T01:37:55.6147652Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.6147940Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[1], 93851402553120)', 'model.__closure__[0].cell_contents[1] == -1'], 2022-11-23T01:37:55.6148062Z 'obj_weakref': None 2022-11-23T01:37:55.6148372Z 'guarded_class': 2022-11-23T01:37:55.6148438Z } 2022-11-23T01:37:55.6148502Z 2022-11-23T01:37:55.6148560Z - 2022-11-23T01:37:55.6148749Z local 'model.__closure__[0].cell_contents[2]' CONSTANT_MATCH 2022-11-23T01:37:55.6148817Z { 2022-11-23T01:37:55.6148960Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.6149247Z 'code': ['___check_type_id(model.__closure__[0].cell_contents[2], 93851402553120)', 'model.__closure__[0].cell_contents[2] == 20'], 2022-11-23T01:37:55.6149372Z 'obj_weakref': None 2022-11-23T01:37:55.6149594Z 'guarded_class': 2022-11-23T01:37:55.6149645Z } 2022-11-23T01:37:55.6149746Z 2022-11-23T01:37:55.6150016Z [2022-11-23 01:36:33,419] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 447 2022-11-23T01:37:55.6150392Z [2022-11-23 01:36:33,429] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/t4/ct4jv6uwoquz3sawjinhjniou4jud7jgdrtexhs42p7dwk72eua7.py 2022-11-23T01:37:55.6150659Z [2022-11-23 01:36:33,429] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 447 2022-11-23T01:37:55.6150665Z 2022-11-23T01:37:55.6150670Z 2022-11-23T01:37:55.6150765Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.6150834Z import torch 2022-11-23T01:37:55.6150953Z import random 2022-11-23T01:37:55.6151057Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.6151178Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.6151184Z 2022-11-23T01:37:55.6151260Z aten = torch.ops.aten 2022-11-23T01:37:55.6151394Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.6151488Z async_compile = AsyncCompile() 2022-11-23T01:37:55.6151493Z 2022-11-23T01:37:55.6151498Z 2022-11-23T01:37:55.6151634Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.6151841Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.6151962Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.6152061Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.6152110Z { 2022-11-23T01:37:55.6152190Z for(long i0=0; i0<125; i0+=1) 2022-11-23T01:37:55.6152252Z { 2022-11-23T01:37:55.6152394Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.6152525Z auto tmp1 = at::vec::Vectorized(static_cast(2)); 2022-11-23T01:37:55.6152610Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.6152736Z auto tmp3 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:55.6152808Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.6152894Z tmp4.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.6152957Z } 2022-11-23T01:37:55.6153044Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.6153126Z for(long i0=1000; i0<1000; i0+=1) 2022-11-23T01:37:55.6153185Z { 2022-11-23T01:37:55.6153263Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.6153347Z auto tmp1 = static_cast(2); 2022-11-23T01:37:55.6153429Z auto tmp2 = tmp0 * tmp1; 2022-11-23T01:37:55.6153522Z auto tmp3 = static_cast(1); 2022-11-23T01:37:55.6153602Z auto tmp4 = tmp2 + tmp3; 2022-11-23T01:37:55.6153678Z out_ptr0[i0] = tmp4; 2022-11-23T01:37:55.6153741Z } 2022-11-23T01:37:55.6153788Z } 2022-11-23T01:37:55.6153866Z ''') 2022-11-23T01:37:55.6153871Z 2022-11-23T01:37:55.6153876Z 2022-11-23T01:37:55.6153962Z async_compile.wait(globals()) 2022-11-23T01:37:55.6154036Z del async_compile 2022-11-23T01:37:55.6154041Z 2022-11-23T01:37:55.6154111Z def call(args): 2022-11-23T01:37:55.6154182Z arg0_1, = args 2022-11-23T01:37:55.6154251Z args.clear() 2022-11-23T01:37:55.6154462Z buf0 = empty_strided((10, 5, 20), (100, 20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6154585Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.6154651Z del arg0_1 2022-11-23T01:37:55.6154720Z return (buf0, ) 2022-11-23T01:37:55.6154725Z 2022-11-23T01:37:55.6154729Z 2022-11-23T01:37:55.6154804Z if __name__ == "__main__": 2022-11-23T01:37:55.6154917Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.6155039Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.6155243Z arg0_1 = rand_strided((50, 20), (20, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6155351Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.6155355Z 2022-11-23T01:37:55.6155409Z ok (5.964s) 2022-11-23T01:37:55.6155745Z test_views3_cpu (__main__.CpuTests) ... [2022-11-23 01:36:33,436] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.6156022Z [2022-11-23 01:36:33,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.6156243Z [2022-11-23 01:36:33,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.6156500Z [2022-11-23 01:36:33,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.6156788Z [2022-11-23 01:36:33,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.6157179Z [2022-11-23 01:36:33,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.6157517Z [2022-11-23 01:36:33,436] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.6157618Z 980 0 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.6157699Z 2 LOAD_ATTR 1 (ops) 2022-11-23T01:37:55.6157788Z 4 LOAD_ATTR 2 (aten) 2022-11-23T01:37:55.6157883Z 6 LOAD_METHOD 3 (index) 2022-11-23T01:37:55.6157973Z 8 LOAD_FAST 0 (arg1) 2022-11-23T01:37:55.6158062Z 10 LOAD_FAST 1 (arg2) 2022-11-23T01:37:55.6158147Z 12 BUILD_LIST 1 2022-11-23T01:37:55.6158231Z 14 CALL_METHOD 2 2022-11-23T01:37:55.6158313Z 16 STORE_FAST 2 (index) 2022-11-23T01:37:55.6158330Z 2022-11-23T01:37:55.6158407Z 981 18 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.6158495Z 20 LOAD_ATTR 1 (ops) 2022-11-23T01:37:55.6158583Z 22 LOAD_ATTR 2 (aten) 2022-11-23T01:37:55.6158675Z 24 LOAD_METHOD 4 (view) 2022-11-23T01:37:55.6158764Z 26 LOAD_FAST 2 (index) 2022-11-23T01:37:55.6158852Z 28 LOAD_CONST 1 (1) 2022-11-23T01:37:55.6158942Z 30 LOAD_CONST 2 (2232) 2022-11-23T01:37:55.6159018Z 32 LOAD_CONST 3 (64) 2022-11-23T01:37:55.6159103Z 34 BUILD_LIST 3 2022-11-23T01:37:55.6159186Z 36 CALL_METHOD 2 2022-11-23T01:37:55.6159279Z 38 STORE_FAST 3 (view_1) 2022-11-23T01:37:55.6159284Z 2022-11-23T01:37:55.6159372Z 982 40 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.6159464Z 42 LOAD_ATTR 1 (ops) 2022-11-23T01:37:55.6159554Z 44 LOAD_ATTR 2 (aten) 2022-11-23T01:37:55.6159629Z 46 LOAD_METHOD 4 (view) 2022-11-23T01:37:55.6159722Z 48 LOAD_FAST 3 (view_1) 2022-11-23T01:37:55.6159811Z 50 LOAD_CONST 1 (1) 2022-11-23T01:37:55.6159900Z 52 LOAD_CONST 4 (12) 2022-11-23T01:37:55.6159988Z 54 LOAD_CONST 5 (62) 2022-11-23T01:37:55.6160075Z 56 LOAD_CONST 6 (192) 2022-11-23T01:37:55.6160160Z 58 BUILD_LIST 4 2022-11-23T01:37:55.6160245Z 60 CALL_METHOD 2 2022-11-23T01:37:55.6160323Z 62 STORE_FAST 4 (view_2) 2022-11-23T01:37:55.6160328Z 2022-11-23T01:37:55.6160417Z 983 64 LOAD_FAST 4 (view_2) 2022-11-23T01:37:55.6160494Z 66 RETURN_VALUE 2022-11-23T01:37:55.6160557Z 2022-11-23T01:37:55.6160562Z 2022-11-23T01:37:55.6160837Z [2022-11-23 01:36:33,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:980 2022-11-23T01:37:55.6161065Z [2022-11-23 01:36:33,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.6161469Z [2022-11-23 01:36:33,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:37:55.6161766Z [2022-11-23 01:36:33,437] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:37:55.6162073Z [2022-11-23 01:36:33,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR index [TorchVariable()] 2022-11-23T01:37:55.6162317Z [2022-11-23 01:36:33,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg1 [TorchVariable(aten.index)] 2022-11-23T01:37:55.6162633Z [2022-11-23 01:36:33,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST arg2 [TorchVariable(aten.index), TensorVariable()] 2022-11-23T01:37:55.6162943Z [2022-11-23 01:36:33,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 1 [TorchVariable(aten.index), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.6163253Z [2022-11-23 01:36:33,443] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.index), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.6163501Z [2022-11-23 01:36:33,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST index [TensorVariable()] 2022-11-23T01:37:55.6163767Z [2022-11-23 01:36:33,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:981 2022-11-23T01:37:55.6163989Z [2022-11-23 01:36:33,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.6164352Z [2022-11-23 01:36:33,444] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:37:55.6164650Z [2022-11-23 01:36:33,445] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:37:55.6164957Z [2022-11-23 01:36:33,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TorchVariable()] 2022-11-23T01:37:55.6165201Z [2022-11-23 01:36:33,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST index [TorchVariable(aten.view)] 2022-11-23T01:37:55.6165482Z [2022-11-23 01:36:33,450] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.view), TensorVariable()] 2022-11-23T01:37:55.6165805Z [2022-11-23 01:36:33,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2232 [TorchVariable(aten.view), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.6166163Z [2022-11-23 01:36:33,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [TorchVariable(aten.view), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.6166559Z [2022-11-23 01:36:33,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 3 [TorchVariable(aten.view), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.6166873Z [2022-11-23 01:36:33,451] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.view), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.6167123Z [2022-11-23 01:36:33,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST view_1 [TensorVariable()] 2022-11-23T01:37:55.6167391Z [2022-11-23 01:36:33,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:982 2022-11-23T01:37:55.6167611Z [2022-11-23 01:36:33,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [] 2022-11-23T01:37:55.6167979Z [2022-11-23 01:36:33,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ops [TorchVariable()] 2022-11-23T01:37:55.6168281Z [2022-11-23 01:36:33,452] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR aten [TorchVariable()] 2022-11-23T01:37:55.6168613Z [2022-11-23 01:36:33,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR view [TorchVariable()] 2022-11-23T01:37:55.6168879Z [2022-11-23 01:36:33,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST view_1 [TorchVariable(aten.view)] 2022-11-23T01:37:55.6169157Z [2022-11-23 01:36:33,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TorchVariable(aten.view), TensorVariable()] 2022-11-23T01:37:55.6169479Z [2022-11-23 01:36:33,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 12 [TorchVariable(aten.view), TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.6169835Z [2022-11-23 01:36:33,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 62 [TorchVariable(aten.view), TensorVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.6170270Z [2022-11-23 01:36:33,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 192 [TorchVariable(aten.view), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.6170704Z [2022-11-23 01:36:33,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_LIST 4 [TorchVariable(aten.view), TensorVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.6171017Z [2022-11-23 01:36:33,458] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION 2 [TorchVariable(aten.view), TensorVariable(), ListVariable()] 2022-11-23T01:37:55.6171267Z [2022-11-23 01:36:33,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE STORE_FAST view_2 [TensorVariable()] 2022-11-23T01:37:55.6171542Z [2022-11-23 01:36:33,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:983 2022-11-23T01:37:55.6171770Z [2022-11-23 01:36:33,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST view_2 [] 2022-11-23T01:37:55.6172007Z [2022-11-23 01:36:33,459] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.6172349Z [2022-11-23 01:36:33,459] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.6172601Z [2022-11-23 01:36:33,460] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.6172841Z [2022-11-23 01:36:33,460] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.6173102Z [2022-11-23 01:36:33,461] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.6173358Z [2022-11-23 01:36:33,465] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.6173553Z [2022-11-23 01:36:33,465] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6173691Z __compiled_fn_456 .3555 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6173782Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.6173858Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.6173973Z call_function, index, aten.index, (ex_0_, [ex_1_]), {} 2022-11-23T01:37:55.6174092Z call_function, view, aten.view, (index, [1, 2232, 64]), {} 2022-11-23T01:37:55.6174211Z call_function, view_1, aten.view, (view, [1, 12, 62, 192]), {} 2022-11-23T01:37:55.6174313Z output, output, output, ((view_1,),), {} 2022-11-23T01:37:55.6174318Z 2022-11-23T01:37:55.6174599Z [2022-11-23 01:36:33,466] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6174694Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6174789Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6174870Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.6174968Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.6175045Z 8 RETURN_VALUE 2022-11-23T01:37:55.6175050Z 2022-11-23T01:37:55.6175116Z 2022-11-23T01:37:55.6175424Z [2022-11-23 01:36:33,466] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6175538Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_456) 2022-11-23T01:37:55.6175630Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6175708Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6175785Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6175876Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6175965Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.6176044Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.6176164Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.6176257Z 16 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.6176319Z 18 RETURN_VALUE 2022-11-23T01:37:55.6176340Z 2022-11-23T01:37:55.6176387Z 2022-11-23T01:37:55.6176575Z [2022-11-23 01:36:33,467] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6176650Z - 2022-11-23T01:37:55.6176774Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.6176842Z { 2022-11-23T01:37:55.6176986Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6177161Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.6177286Z 'obj_weakref': None 2022-11-23T01:37:55.6177513Z 'guarded_class': 2022-11-23T01:37:55.6177579Z } 2022-11-23T01:37:55.6177641Z 2022-11-23T01:37:55.6177714Z - 2022-11-23T01:37:55.6177841Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.6177894Z { 2022-11-23T01:37:55.6178040Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6178150Z 'code': None, 2022-11-23T01:37:55.6178365Z 'obj_weakref': 2022-11-23T01:37:55.6178627Z 'guarded_class': 2022-11-23T01:37:55.6178692Z } 2022-11-23T01:37:55.6178891Z 2022-11-23T01:37:55.6178989Z - 2022-11-23T01:37:55.6179161Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.6179228Z { 2022-11-23T01:37:55.6179375Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6179486Z 'code': None, 2022-11-23T01:37:55.6179701Z 'obj_weakref': 2022-11-23T01:37:55.6179958Z 'guarded_class': 2022-11-23T01:37:55.6180024Z } 2022-11-23T01:37:55.6180074Z 2022-11-23T01:37:55.6180144Z - 2022-11-23T01:37:55.6180275Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.6180340Z { 2022-11-23T01:37:55.6180476Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6180652Z 'code': ['___check_obj_id(model, 140538740293504)'], 2022-11-23T01:37:55.6180761Z 'obj_weakref': None 2022-11-23T01:37:55.6181000Z 'guarded_class': 2022-11-23T01:37:55.6181064Z } 2022-11-23T01:37:55.6181127Z 2022-11-23T01:37:55.6181196Z - 2022-11-23T01:37:55.6181319Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.6181381Z { 2022-11-23T01:37:55.6181506Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.6181726Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.6181851Z 'obj_weakref': None 2022-11-23T01:37:55.6182073Z 'guarded_class': 2022-11-23T01:37:55.6182136Z } 2022-11-23T01:37:55.6182196Z 2022-11-23T01:37:55.6182326Z - 2022-11-23T01:37:55.6182453Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.6182516Z { 2022-11-23T01:37:55.6182638Z 'guard_types': None, 2022-11-23T01:37:55.6182746Z 'code': None, 2022-11-23T01:37:55.6182866Z 'obj_weakref': None 2022-11-23T01:37:55.6182988Z 'guarded_class': None 2022-11-23T01:37:55.6183051Z } 2022-11-23T01:37:55.6183100Z 2022-11-23T01:37:55.6183363Z [2022-11-23 01:36:33,474] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 448 2022-11-23T01:37:55.6183730Z [2022-11-23 01:36:34,893] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fj/cfjyyalitr47n5b6h5za7etaigojb5rgmrpqanj2joayykropd7z.py 2022-11-23T01:37:55.6184037Z [2022-11-23 01:36:34,894] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 448 2022-11-23T01:37:55.6184044Z 2022-11-23T01:37:55.6184138Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.6184207Z import torch 2022-11-23T01:37:55.6184274Z import random 2022-11-23T01:37:55.6184389Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.6184511Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.6184520Z 2022-11-23T01:37:55.6184640Z aten = torch.ops.aten 2022-11-23T01:37:55.6184809Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.6184905Z async_compile = AsyncCompile() 2022-11-23T01:37:55.6184910Z 2022-11-23T01:37:55.6184914Z 2022-11-23T01:37:55.6185053Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.6185261Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.6185379Z extern "C" void kernel(const long* __restrict__ in_ptr0, 2022-11-23T01:37:55.6185484Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.6185571Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.6185630Z { 2022-11-23T01:37:55.6185709Z #pragma GCC ivdep 2022-11-23T01:37:55.6185790Z for(long i0=0; i0<2232; i0+=1) 2022-11-23T01:37:55.6185850Z { 2022-11-23T01:37:55.6185928Z #pragma GCC ivdep 2022-11-23T01:37:55.6186009Z for(long i1=0; i1<64; i1+=1) 2022-11-23T01:37:55.6186059Z { 2022-11-23T01:37:55.6186120Z { 2022-11-23T01:37:55.6186183Z { 2022-11-23T01:37:55.6186276Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.6186375Z auto tmp1 = in_ptr1[i1 + (64*tmp0)]; 2022-11-23T01:37:55.6186468Z out_ptr0[i1 + (64*i0)] = tmp1; 2022-11-23T01:37:55.6186534Z } 2022-11-23T01:37:55.6186584Z } 2022-11-23T01:37:55.6186643Z } 2022-11-23T01:37:55.6186707Z } 2022-11-23T01:37:55.6186766Z } 2022-11-23T01:37:55.6186845Z ''') 2022-11-23T01:37:55.6186851Z 2022-11-23T01:37:55.6186855Z 2022-11-23T01:37:55.6186944Z async_compile.wait(globals()) 2022-11-23T01:37:55.6187017Z del async_compile 2022-11-23T01:37:55.6187022Z 2022-11-23T01:37:55.6187078Z def call(args): 2022-11-23T01:37:55.6187151Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.6187221Z args.clear() 2022-11-23T01:37:55.6187429Z buf0 = empty_strided((2232, 64), (64, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6187593Z kernel_cpp_0(c_void_p(arg1_1.data_ptr()), c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.6187660Z del arg0_1 2022-11-23T01:37:55.6187723Z del arg1_1 2022-11-23T01:37:55.6187822Z return (as_strided(buf0, (1, 12, 62, 192), (0, 11904, 192, 1)), ) 2022-11-23T01:37:55.6187830Z 2022-11-23T01:37:55.6187846Z 2022-11-23T01:37:55.6187909Z if __name__ == "__main__": 2022-11-23T01:37:55.6188021Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.6188214Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.6188427Z arg0_1 = rand_strided((64, 64), (64, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6188669Z arg1_1 = rand_strided((2232, ), (1, ), device='cpu', dtype=torch.int64) 2022-11-23T01:37:55.6188787Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.6188792Z 2022-11-23T01:37:55.6188859Z ok (1.471s) 2022-11-23T01:37:55.6189181Z test_zero_dim_reductions_cpu (__main__.CpuTests) ... [2022-11-23 01:36:34,943] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing 2022-11-23T01:37:55.6189399Z [2022-11-23 01:36:34,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF fn [] 2022-11-23T01:37:55.6189652Z [2022-11-23 01:36:34,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.all)] 2022-11-23T01:37:55.6189985Z [2022-11-23 01:36:34,943] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.all), TupleVariable()] 2022-11-23T01:37:55.6190235Z [2022-11-23 01:36:34,945] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.6190488Z [2022-11-23 01:36:34,945] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing 2022-11-23T01:37:55.6190734Z [2022-11-23 01:36:34,946] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:37:55.6190974Z [2022-11-23 01:36:34,951] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:37:55.6191166Z [2022-11-23 01:36:34,952] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6191300Z __compiled_fn_457 .3561 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6191375Z placeholder, x_0_, x_0_, (), {} 2022-11-23T01:37:55.6191485Z call_function, all_1, aten.all, (x_0_, 1, True), {} 2022-11-23T01:37:55.6191578Z output, output, output, ((all_1,),), {} 2022-11-23T01:37:55.6191584Z 2022-11-23T01:37:55.6191874Z [2022-11-23 01:36:34,952] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE inductor/test_torchinductor.py line 4521 2022-11-23T01:37:55.6191972Z 4521 0 LOAD_DEREF 0 (fn) 2022-11-23T01:37:55.6192064Z 2 LOAD_FAST 0 (x) 2022-11-23T01:37:55.6192156Z 4 CALL_FUNCTION_EX 0 2022-11-23T01:37:55.6192219Z 6 RETURN_VALUE 2022-11-23T01:37:55.6192236Z 2022-11-23T01:37:55.6192283Z 2022-11-23T01:37:55.6192576Z [2022-11-23 01:36:34,952] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE inductor/test_torchinductor.py line 4521 2022-11-23T01:37:55.6192687Z 4521 0 LOAD_GLOBAL 0 (__compiled_fn_457) 2022-11-23T01:37:55.6192776Z 2 LOAD_FAST 0 (x) 2022-11-23T01:37:55.6192866Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6192944Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6193032Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.6193110Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.6193185Z 12 RETURN_VALUE 2022-11-23T01:37:55.6193190Z 2022-11-23T01:37:55.6193251Z 2022-11-23T01:37:55.6193439Z [2022-11-23 01:36:34,953] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6193511Z - 2022-11-23T01:37:55.6193631Z local 'x' LIST_LENGTH 2022-11-23T01:37:55.6193695Z { 2022-11-23T01:37:55.6193823Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6194007Z 'code': ['___check_type_id(x, 93851402532000)', 'len(x) == 3'], 2022-11-23T01:37:55.6194130Z 'obj_weakref': None 2022-11-23T01:37:55.6194357Z 'guarded_class': 2022-11-23T01:37:55.6194423Z } 2022-11-23T01:37:55.6194486Z 2022-11-23T01:37:55.6194557Z - 2022-11-23T01:37:55.6194671Z local 'fn' FUNCTION_MATCH 2022-11-23T01:37:55.6194737Z { 2022-11-23T01:37:55.6194876Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6195039Z 'code': ['___check_obj_id(fn, 140539454953680)'], 2022-11-23T01:37:55.6195314Z 'obj_weakref': 2022-11-23T01:37:55.6195570Z 'guarded_class': 2022-11-23T01:37:55.6195644Z } 2022-11-23T01:37:55.6195728Z 2022-11-23T01:37:55.6195827Z - 2022-11-23T01:37:55.6196001Z local 'x[0]' TENSOR_MATCH 2022-11-23T01:37:55.6196090Z { 2022-11-23T01:37:55.6196306Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6196438Z 'code': None, 2022-11-23T01:37:55.6196714Z 'obj_weakref': 2022-11-23T01:37:55.6196957Z 'guarded_class': 2022-11-23T01:37:55.6197022Z } 2022-11-23T01:37:55.6197084Z 2022-11-23T01:37:55.6197153Z - 2022-11-23T01:37:55.6197282Z local 'x[1]' CONSTANT_MATCH 2022-11-23T01:37:55.6197344Z { 2022-11-23T01:37:55.6197490Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.6197664Z 'code': ['___check_type_id(x[1], 93851402553120)', 'x[1] == 1'], 2022-11-23T01:37:55.6197782Z 'obj_weakref': None 2022-11-23T01:37:55.6198005Z 'guarded_class': 2022-11-23T01:37:55.6198071Z } 2022-11-23T01:37:55.6198133Z 2022-11-23T01:37:55.6198203Z - 2022-11-23T01:37:55.6198332Z local 'x[2]' CONSTANT_MATCH 2022-11-23T01:37:55.6198384Z { 2022-11-23T01:37:55.6198519Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6198684Z 'code': ['___check_obj_id(x[2], 93851402593024)'], 2022-11-23T01:37:55.6198808Z 'obj_weakref': None 2022-11-23T01:37:55.6199029Z 'guarded_class': 2022-11-23T01:37:55.6199095Z } 2022-11-23T01:37:55.6199156Z 2022-11-23T01:37:55.6199407Z [2022-11-23 01:36:34,958] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 449 2022-11-23T01:37:55.6199777Z [2022-11-23 01:36:36,331] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/k5/ck5ls2geoszjb5mbnwsym2l3clskycdqdr5kcxxgq3cthzekd5bd.py 2022-11-23T01:37:55.6200040Z [2022-11-23 01:36:36,331] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 449 2022-11-23T01:37:55.6200283Z [2022-11-23 01:36:36,375] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing 2022-11-23T01:37:55.6200500Z [2022-11-23 01:36:36,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF fn [] 2022-11-23T01:37:55.6200753Z [2022-11-23 01:36:36,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST x [TorchVariable(aten.all)] 2022-11-23T01:37:55.6201047Z [2022-11-23 01:36:36,375] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 0 [TorchVariable(aten.all), TupleVariable()] 2022-11-23T01:37:55.6201297Z [2022-11-23 01:36:36,377] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TensorVariable()] 2022-11-23T01:37:55.6201540Z [2022-11-23 01:36:36,377] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing 2022-11-23T01:37:55.6201782Z [2022-11-23 01:36:36,378] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx 2022-11-23T01:37:55.6202008Z [2022-11-23 01:36:36,380] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx 2022-11-23T01:37:55.6202201Z [2022-11-23 01:36:36,381] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6202336Z __compiled_fn_458 .3567 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6202423Z placeholder, x_0_, x_0_, (), {} 2022-11-23T01:37:55.6202533Z call_function, all_1, aten.all, (x_0_, 1, False), {} 2022-11-23T01:37:55.6202658Z output, output, output, ((all_1,),), {} 2022-11-23T01:37:55.6202665Z 2022-11-23T01:37:55.6202959Z [2022-11-23 01:36:36,381] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE inductor/test_torchinductor.py line 4521 2022-11-23T01:37:55.6203051Z 4521 0 LOAD_DEREF 0 (fn) 2022-11-23T01:37:55.6203128Z 2 LOAD_FAST 0 (x) 2022-11-23T01:37:55.6203221Z 4 CALL_FUNCTION_EX 0 2022-11-23T01:37:55.6203296Z 6 RETURN_VALUE 2022-11-23T01:37:55.6203300Z 2022-11-23T01:37:55.6203360Z 2022-11-23T01:37:55.6203649Z [2022-11-23 01:36:36,381] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE inductor/test_torchinductor.py line 4521 2022-11-23T01:37:55.6203790Z 4521 0 LOAD_GLOBAL 0 (__compiled_fn_458) 2022-11-23T01:37:55.6203880Z 2 LOAD_FAST 0 (x) 2022-11-23T01:37:55.6203955Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6204035Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6204124Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.6204215Z 10 UNPACK_SEQUENCE 1 2022-11-23T01:37:55.6204289Z 12 RETURN_VALUE 2022-11-23T01:37:55.6204294Z 2022-11-23T01:37:55.6204353Z 2022-11-23T01:37:55.6204538Z [2022-11-23 01:36:36,382] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6204609Z - 2022-11-23T01:37:55.6204713Z local 'x' LIST_LENGTH 2022-11-23T01:37:55.6204778Z { 2022-11-23T01:37:55.6204919Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6205106Z 'code': ['___check_type_id(x, 93851402532000)', 'len(x) == 3'], 2022-11-23T01:37:55.6205229Z 'obj_weakref': None 2022-11-23T01:37:55.6205455Z 'guarded_class': 2022-11-23T01:37:55.6205519Z } 2022-11-23T01:37:55.6205569Z 2022-11-23T01:37:55.6205641Z - 2022-11-23T01:37:55.6205767Z local 'fn' FUNCTION_MATCH 2022-11-23T01:37:55.6205830Z { 2022-11-23T01:37:55.6205966Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6206130Z 'code': ['___check_obj_id(fn, 140539454953680)'], 2022-11-23T01:37:55.6206370Z 'obj_weakref': 2022-11-23T01:37:55.6206609Z 'guarded_class': 2022-11-23T01:37:55.6206674Z } 2022-11-23T01:37:55.6206738Z 2022-11-23T01:37:55.6206810Z - 2022-11-23T01:37:55.6206935Z local 'x[0]' TENSOR_MATCH 2022-11-23T01:37:55.6206997Z { 2022-11-23T01:37:55.6207141Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6207238Z 'code': None, 2022-11-23T01:37:55.6207454Z 'obj_weakref': 2022-11-23T01:37:55.6207710Z 'guarded_class': 2022-11-23T01:37:55.6207773Z } 2022-11-23T01:37:55.6207833Z 2022-11-23T01:37:55.6207902Z - 2022-11-23T01:37:55.6208029Z local 'x[1]' CONSTANT_MATCH 2022-11-23T01:37:55.6208081Z { 2022-11-23T01:37:55.6208224Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.6208408Z 'code': ['___check_type_id(x[1], 93851402553120)', 'x[1] == 1'], 2022-11-23T01:37:55.6208528Z 'obj_weakref': None 2022-11-23T01:37:55.6208754Z 'guarded_class': 2022-11-23T01:37:55.6208818Z } 2022-11-23T01:37:55.6208879Z 2022-11-23T01:37:55.6208936Z - 2022-11-23T01:37:55.6209063Z local 'x[2]' CONSTANT_MATCH 2022-11-23T01:37:55.6209127Z { 2022-11-23T01:37:55.6209293Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6209464Z 'code': ['___check_obj_id(x[2], 93851402592992)'], 2022-11-23T01:37:55.6209587Z 'obj_weakref': None 2022-11-23T01:37:55.6209812Z 'guarded_class': 2022-11-23T01:37:55.6209863Z } 2022-11-23T01:37:55.6209927Z 2022-11-23T01:37:55.6210191Z [2022-11-23 01:36:36,388] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 450 2022-11-23T01:37:55.6210564Z [2022-11-23 01:36:36,396] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/tu/ctuio7q7xpih2b4rysiuyjt2n3kdggb7rzbetwhb6ppwfsioeklc.py 2022-11-23T01:37:55.6210862Z [2022-11-23 01:36:36,396] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 450 2022-11-23T01:37:55.6210868Z 2022-11-23T01:37:55.6210962Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.6211034Z import torch 2022-11-23T01:37:55.6211107Z import random 2022-11-23T01:37:55.6211209Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.6211330Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.6211336Z 2022-11-23T01:37:55.6211414Z aten = torch.ops.aten 2022-11-23T01:37:55.6211549Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.6211642Z async_compile = AsyncCompile() 2022-11-23T01:37:55.6211648Z 2022-11-23T01:37:55.6211652Z 2022-11-23T01:37:55.6211790Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.6211998Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.6212113Z extern "C" void kernel(bool* __restrict__ out_ptr0) 2022-11-23T01:37:55.6212161Z { 2022-11-23T01:37:55.6212239Z #pragma GCC ivdep 2022-11-23T01:37:55.6212321Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:55.6212384Z { 2022-11-23T01:37:55.6212447Z { 2022-11-23T01:37:55.6212513Z { 2022-11-23T01:37:55.6212606Z auto tmp0 = static_cast(false); 2022-11-23T01:37:55.6212691Z auto tmp1 = tmp0 == 0; 2022-11-23T01:37:55.6212773Z out_ptr0[i0] = tmp1; 2022-11-23T01:37:55.6212838Z } 2022-11-23T01:37:55.6212900Z } 2022-11-23T01:37:55.6212961Z } 2022-11-23T01:37:55.6213021Z } 2022-11-23T01:37:55.6213089Z ''') 2022-11-23T01:37:55.6213094Z 2022-11-23T01:37:55.6213099Z 2022-11-23T01:37:55.6213189Z async_compile.wait(globals()) 2022-11-23T01:37:55.6213263Z del async_compile 2022-11-23T01:37:55.6213268Z 2022-11-23T01:37:55.6213343Z def call(args): 2022-11-23T01:37:55.6213414Z arg0_1, = args 2022-11-23T01:37:55.6213486Z args.clear() 2022-11-23T01:37:55.6213679Z buf0 = empty_strided((2, 1), (1, 1), device='cpu', dtype=torch.bool) 2022-11-23T01:37:55.6213771Z kernel_cpp_0(c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.6213842Z return (buf0, ) 2022-11-23T01:37:55.6213847Z 2022-11-23T01:37:55.6213854Z 2022-11-23T01:37:55.6213931Z if __name__ == "__main__": 2022-11-23T01:37:55.6214045Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.6214168Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.6214369Z arg0_1 = rand_strided((2, 0), (1, 1), device='cpu', dtype=torch.float16) 2022-11-23T01:37:55.6214477Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.6214482Z 2022-11-23T01:37:55.6214486Z 2022-11-23T01:37:55.6214579Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.6214650Z import torch 2022-11-23T01:37:55.6214706Z import random 2022-11-23T01:37:55.6214827Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.6214949Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.6214954Z 2022-11-23T01:37:55.6215031Z aten = torch.ops.aten 2022-11-23T01:37:55.6215166Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.6215255Z async_compile = AsyncCompile() 2022-11-23T01:37:55.6215289Z 2022-11-23T01:37:55.6215293Z 2022-11-23T01:37:55.6215430Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.6215635Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.6215735Z extern "C" void kernel(bool* __restrict__ out_ptr0) 2022-11-23T01:37:55.6215794Z { 2022-11-23T01:37:55.6215870Z #pragma GCC ivdep 2022-11-23T01:37:55.6215950Z for(long i0=0; i0<2; i0+=1) 2022-11-23T01:37:55.6216009Z { 2022-11-23T01:37:55.6216072Z { 2022-11-23T01:37:55.6216121Z { 2022-11-23T01:37:55.6216226Z auto tmp0 = static_cast(false); 2022-11-23T01:37:55.6216343Z auto tmp1 = tmp0 == 0; 2022-11-23T01:37:55.6216424Z out_ptr0[i0] = tmp1; 2022-11-23T01:37:55.6216487Z } 2022-11-23T01:37:55.6216551Z } 2022-11-23T01:37:55.6216613Z } 2022-11-23T01:37:55.6216659Z } 2022-11-23T01:37:55.6216741Z ''') 2022-11-23T01:37:55.6216746Z 2022-11-23T01:37:55.6216753Z 2022-11-23T01:37:55.6216840Z async_compile.wait(globals()) 2022-11-23T01:37:55.6216915Z del async_compile 2022-11-23T01:37:55.6216920Z 2022-11-23T01:37:55.6216990Z def call(args): 2022-11-23T01:37:55.6217058Z arg0_1, = args 2022-11-23T01:37:55.6217130Z args.clear() 2022-11-23T01:37:55.6217306Z buf0 = empty_strided((2, ), (1, ), device='cpu', dtype=torch.bool) 2022-11-23T01:37:55.6217409Z kernel_cpp_0(c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.6217478Z return (buf0, ) 2022-11-23T01:37:55.6217483Z 2022-11-23T01:37:55.6217487Z 2022-11-23T01:37:55.6217561Z if __name__ == "__main__": 2022-11-23T01:37:55.6217676Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.6217796Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.6217997Z arg0_1 = rand_strided((2, 0), (1, 1), device='cpu', dtype=torch.float16) 2022-11-23T01:37:55.6218106Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.6218111Z 2022-11-23T01:37:55.6218167Z ok (1.498s) 2022-11-23T01:37:55.6218476Z test_zeros_cpu (__main__.CpuTests) ... [2022-11-23 01:36:36,403] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.6218893Z [2022-11-23 01:36:36,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.6219198Z [2022-11-23 01:36:36,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.6219459Z [2022-11-23 01:36:36,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.6219754Z [2022-11-23 01:36:36,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.6220080Z [2022-11-23 01:36:36,403] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.6220414Z [2022-11-23 01:36:36,403] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.6220509Z 2771 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.6220601Z 2 LOAD_CONST 1 (1) 2022-11-23T01:37:55.6220663Z 4 BINARY_ADD 2022-11-23T01:37:55.6220668Z 2022-11-23T01:37:55.6220762Z 2772 6 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.6220851Z 8 LOAD_ATTR 1 (zeros) 2022-11-23T01:37:55.6220857Z 2022-11-23T01:37:55.6220954Z 2773 10 LOAD_CONST 2 ((1, 8, 64, 64)) 2022-11-23T01:37:55.6220962Z 2022-11-23T01:37:55.6221053Z 2774 12 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.6221146Z 14 LOAD_ATTR 2 (float32) 2022-11-23T01:37:55.6221151Z 2022-11-23T01:37:55.6221239Z 2775 16 LOAD_FAST 0 (a) 2022-11-23T01:37:55.6221396Z 18 LOAD_ATTR 3 (device) 2022-11-23T01:37:55.6221554Z 20 LOAD_CONST 3 (('dtype', 'device')) 2022-11-23T01:37:55.6221648Z 22 CALL_FUNCTION_KW 3 2022-11-23T01:37:55.6221653Z 2022-11-23T01:37:55.6221743Z 2777 24 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.6221831Z 26 LOAD_ATTR 1 (zeros) 2022-11-23T01:37:55.6221836Z 2022-11-23T01:37:55.6221922Z 2778 28 LOAD_CONST 1 (1) 2022-11-23T01:37:55.6221927Z 2022-11-23T01:37:55.6222015Z 2779 30 LOAD_CONST 4 (8) 2022-11-23T01:37:55.6222019Z 2022-11-23T01:37:55.6222148Z 2780 32 LOAD_CONST 5 (64) 2022-11-23T01:37:55.6222153Z 2022-11-23T01:37:55.6222242Z 2781 34 LOAD_CONST 5 (64) 2022-11-23T01:37:55.6222246Z 2022-11-23T01:37:55.6222336Z 2782 36 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.6222417Z 38 LOAD_ATTR 2 (float32) 2022-11-23T01:37:55.6222434Z 2022-11-23T01:37:55.6222511Z 2783 40 LOAD_FAST 0 (a) 2022-11-23T01:37:55.6222603Z 42 LOAD_ATTR 3 (device) 2022-11-23T01:37:55.6222770Z 44 LOAD_CONST 3 (('dtype', 'device')) 2022-11-23T01:37:55.6222861Z 46 CALL_FUNCTION_KW 6 2022-11-23T01:37:55.6222866Z 2022-11-23T01:37:55.6222955Z 2785 48 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.6223040Z 50 LOAD_ATTR 1 (zeros) 2022-11-23T01:37:55.6223128Z 52 LOAD_CONST 6 (2) 2022-11-23T01:37:55.6223201Z 54 LOAD_CONST 7 (3) 2022-11-23T01:37:55.6223294Z 56 LOAD_CONST 0 (None) 2022-11-23T01:37:55.6223443Z 58 LOAD_CONST 8 (('names',)) 2022-11-23T01:37:55.6223533Z 60 CALL_FUNCTION_KW 3 2022-11-23T01:37:55.6223538Z 2022-11-23T01:37:55.6223624Z 2786 62 LOAD_FAST 0 (a) 2022-11-23T01:37:55.6223716Z 64 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.6223806Z 66 LOAD_ATTR 4 (ones) 2022-11-23T01:37:55.6223894Z 68 LOAD_CONST 4 (8) 2022-11-23T01:37:55.6223968Z 70 LOAD_FAST 0 (a) 2022-11-23T01:37:55.6224057Z 72 LOAD_ATTR 3 (device) 2022-11-23T01:37:55.6224208Z 74 LOAD_CONST 9 (('device',)) 2022-11-23T01:37:55.6224297Z 76 CALL_FUNCTION_KW 2 2022-11-23T01:37:55.6224370Z 78 BINARY_ADD 2022-11-23T01:37:55.6224375Z 2022-11-23T01:37:55.6224467Z 2787 80 LOAD_GLOBAL 0 (torch) 2022-11-23T01:37:55.6224554Z 82 LOAD_ATTR 5 (full) 2022-11-23T01:37:55.6224632Z 84 LOAD_CONST 10 ((2, 3)) 2022-11-23T01:37:55.6224720Z 86 LOAD_CONST 11 (3.1416) 2022-11-23T01:37:55.6224808Z 88 LOAD_FAST 0 (a) 2022-11-23T01:37:55.6224898Z 90 LOAD_ATTR 3 (device) 2022-11-23T01:37:55.6225048Z 92 LOAD_CONST 9 (('device',)) 2022-11-23T01:37:55.6225136Z 94 CALL_FUNCTION_KW 3 2022-11-23T01:37:55.6225223Z 96 BUILD_TUPLE 6 2022-11-23T01:37:55.6225285Z 98 RETURN_VALUE 2022-11-23T01:37:55.6225345Z 2022-11-23T01:37:55.6225349Z 2022-11-23T01:37:55.6225619Z [2022-11-23 01:36:36,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2771 2022-11-23T01:37:55.6225834Z [2022-11-23 01:36:36,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.6226077Z [2022-11-23 01:36:36,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable()] 2022-11-23T01:37:55.6226361Z [2022-11-23 01:36:36,404] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.6226662Z [2022-11-23 01:36:36,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2772 2022-11-23T01:37:55.6226916Z [2022-11-23 01:36:36,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable()] 2022-11-23T01:37:55.6227316Z [2022-11-23 01:36:36,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.6227586Z [2022-11-23 01:36:36,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2773 2022-11-23T01:37:55.6227972Z [2022-11-23 01:36:36,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (1, 8, 64, 64) [TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.6228316Z [2022-11-23 01:36:36,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2774 2022-11-23T01:37:55.6228726Z [2022-11-23 01:36:36,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TorchVariable(), ConstantVariable(tuple)] 2022-11-23T01:37:55.6229277Z [2022-11-23 01:36:36,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float32 [TensorVariable(), TorchVariable(), ConstantVariable(tuple), TorchVariable()] 2022-11-23T01:37:55.6229547Z [2022-11-23 01:36:36,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2775 2022-11-23T01:37:55.6229979Z [2022-11-23 01:36:36,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TorchVariable(), ConstantVariable(tuple), ConstantVariable(dtype)] 2022-11-23T01:37:55.6230451Z [2022-11-23 01:36:36,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TorchVariable(), ConstantVariable(tuple), ConstantVariable(dtype), TensorVariable()] 2022-11-23T01:37:55.6230940Z [2022-11-23 01:36:36,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype', 'device') [TensorVariable(), TorchVariable(), ConstantVariable(tuple), ConstantVariable(dtype), TorchVariable(cpu)] 2022-11-23T01:37:55.6231454Z [2022-11-23 01:36:36,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TorchVariable(), ConstantVariable(tuple), ConstantVariable(dtype), TorchVariable(cpu), ConstantVariable(tuple)] 2022-11-23T01:37:55.6231726Z [2022-11-23 01:36:36,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2777 2022-11-23T01:37:55.6232009Z [2022-11-23 01:36:36,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.6232439Z [2022-11-23 01:36:36,407] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.6232708Z [2022-11-23 01:36:36,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2778 2022-11-23T01:37:55.6233090Z [2022-11-23 01:36:36,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 1 [TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.6233347Z [2022-11-23 01:36:36,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2779 2022-11-23T01:37:55.6233803Z [2022-11-23 01:36:36,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.6234075Z [2022-11-23 01:36:36,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2780 2022-11-23T01:37:55.6234528Z [2022-11-23 01:36:36,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.6234792Z [2022-11-23 01:36:36,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2781 2022-11-23T01:37:55.6235316Z [2022-11-23 01:36:36,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 64 [TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.6235585Z [2022-11-23 01:36:36,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2782 2022-11-23T01:37:55.6236121Z [2022-11-23 01:36:36,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.6236806Z [2022-11-23 01:36:36,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR float32 [TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), TorchVariable()] 2022-11-23T01:37:55.6237077Z [2022-11-23 01:36:36,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2783 2022-11-23T01:37:55.6237646Z [2022-11-23 01:36:36,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype)] 2022-11-23T01:37:55.6238246Z [2022-11-23 01:36:36,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TensorVariable()] 2022-11-23T01:37:55.6238876Z [2022-11-23 01:36:36,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('dtype', 'device') [TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cpu)] 2022-11-23T01:37:55.6239524Z [2022-11-23 01:36:36,409] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 6 [TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(int), ConstantVariable(dtype), TorchVariable(cpu), ConstantVariable(tuple)] 2022-11-23T01:37:55.6239791Z [2022-11-23 01:36:36,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2785 2022-11-23T01:37:55.6240095Z [2022-11-23 01:36:36,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.6240555Z [2022-11-23 01:36:36,410] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR zeros [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.6241027Z [2022-11-23 01:36:36,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 2 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.6241473Z [2022-11-23 01:36:36,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.6241959Z [2022-11-23 01:36:36,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST None [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(int), ConstantVariable(int)] 2022-11-23T01:37:55.6242553Z [2022-11-23 01:36:36,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('names',) [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(NoneType)] 2022-11-23T01:37:55.6243130Z [2022-11-23 01:36:36,411] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(int), ConstantVariable(int), ConstantVariable(NoneType), ConstantVariable(tuple)] 2022-11-23T01:37:55.6243387Z [2022-11-23 01:36:36,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2786 2022-11-23T01:37:55.6243708Z [2022-11-23 01:36:36,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.6244068Z [2022-11-23 01:36:36,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.6244581Z [2022-11-23 01:36:36,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR ones [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.6245046Z [2022-11-23 01:36:36,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 8 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.6245543Z [2022-11-23 01:36:36,412] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(int)] 2022-11-23T01:37:55.6246082Z [2022-11-23 01:36:36,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(int), TensorVariable()] 2022-11-23T01:37:55.6246629Z [2022-11-23 01:36:36,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(int), TorchVariable(cpu)] 2022-11-23T01:37:55.6247213Z [2022-11-23 01:36:36,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 2 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(int), TorchVariable(cpu), ConstantVariable(tuple)] 2022-11-23T01:37:55.6247602Z [2022-11-23 01:36:36,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.6247898Z [2022-11-23 01:36:36,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:2787 2022-11-23T01:37:55.6248259Z [2022-11-23 01:36:36,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_GLOBAL torch [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.6248768Z [2022-11-23 01:36:36,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR full [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.6249274Z [2022-11-23 01:36:36,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST (2, 3) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable()] 2022-11-23T01:37:55.6249786Z [2022-11-23 01:36:36,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST 3.1416 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(tuple)] 2022-11-23T01:37:55.6250326Z [2022-11-23 01:36:36,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(tuple), ConstantVariable(float)] 2022-11-23T01:37:55.6250907Z [2022-11-23 01:36:36,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_ATTR device [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(tuple), ConstantVariable(float), TensorVariable()] 2022-11-23T01:37:55.6251500Z [2022-11-23 01:36:36,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_CONST ('device',) [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(tuple), ConstantVariable(float), TorchVariable(cpu)] 2022-11-23T01:37:55.6252127Z [2022-11-23 01:36:36,416] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_KW 3 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TorchVariable(), ConstantVariable(tuple), ConstantVariable(float), TorchVariable(cpu), ConstantVariable(tuple)] 2022-11-23T01:37:55.6252515Z [2022-11-23 01:36:36,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 6 [TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.6252764Z [2022-11-23 01:36:36,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6253099Z [2022-11-23 01:36:36,417] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.6253334Z [2022-11-23 01:36:36,417] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6253569Z [2022-11-23 01:36:36,417] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.6253826Z [2022-11-23 01:36:36,419] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.6254079Z [2022-11-23 01:36:36,425] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.6254273Z [2022-11-23 01:36:36,425] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6254406Z __compiled_fn_459 .3573 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6254497Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.6254704Z call_function, add, , (ex_0_, 1), {} 2022-11-23T01:37:55.6255012Z call_function, zeros, , ((1, 8, 64, 64),), {'dtype': torch.float32, 'device': device(type='cpu')} 2022-11-23T01:37:55.6255328Z call_function, zeros_1, , (1, 8, 64, 64), {'dtype': torch.float32, 'device': device(type='cpu')} 2022-11-23T01:37:55.6255574Z call_function, zeros_2, , (2, 3), {'names': None} 2022-11-23T01:37:55.6255835Z call_function, ones, , (8,), {'device': device(type='cpu')} 2022-11-23T01:37:55.6256048Z call_function, add_1, , (ex_0_, ones), {} 2022-11-23T01:37:55.6256319Z call_function, full, , ((2, 3), 3.1416), {'device': device(type='cpu')} 2022-11-23T01:37:55.6256452Z output, output, output, ((add, zeros, zeros_1, zeros_2, add_1, full),), {} 2022-11-23T01:37:55.6256462Z 2022-11-23T01:37:55.6256745Z [2022-11-23 01:36:36,426] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6256838Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6256929Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6257012Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.6257101Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.6257177Z 8 RETURN_VALUE 2022-11-23T01:37:55.6257183Z 2022-11-23T01:37:55.6257241Z 2022-11-23T01:37:55.6257521Z [2022-11-23 01:36:36,426] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6257629Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_459) 2022-11-23T01:37:55.6257719Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6257797Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6257874Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6257962Z 8 CALL_FUNCTION 1 2022-11-23T01:37:55.6258065Z 10 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6258165Z 12 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6258252Z 14 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6258328Z 16 BINARY_SUBSCR 2022-11-23T01:37:55.6258418Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6258504Z 20 LOAD_CONST 2 (1) 2022-11-23T01:37:55.6258579Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.6258680Z 24 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6258911Z 26 LOAD_CONST 3 (2) 2022-11-23T01:37:55.6259030Z 28 BINARY_SUBSCR 2022-11-23T01:37:55.6259157Z 30 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6259253Z 32 LOAD_CONST 4 (3) 2022-11-23T01:37:55.6259316Z 34 BINARY_SUBSCR 2022-11-23T01:37:55.6259414Z 36 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6259504Z 38 LOAD_CONST 5 (4) 2022-11-23T01:37:55.6259579Z 40 BINARY_SUBSCR 2022-11-23T01:37:55.6259679Z 42 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6259766Z 44 LOAD_CONST 6 (5) 2022-11-23T01:37:55.6259840Z 46 BINARY_SUBSCR 2022-11-23T01:37:55.6259914Z 48 BUILD_TUPLE 6 2022-11-23T01:37:55.6259988Z 50 RETURN_VALUE 2022-11-23T01:37:55.6259996Z 2022-11-23T01:37:55.6260056Z 2022-11-23T01:37:55.6260248Z [2022-11-23 01:36:36,427] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6260319Z - 2022-11-23T01:37:55.6260442Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.6260506Z { 2022-11-23T01:37:55.6260732Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6260928Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 1'], 2022-11-23T01:37:55.6261049Z 'obj_weakref': None 2022-11-23T01:37:55.6261278Z 'guarded_class': 2022-11-23T01:37:55.6261342Z } 2022-11-23T01:37:55.6261404Z 2022-11-23T01:37:55.6261476Z - 2022-11-23T01:37:55.6261587Z local 'ex[0]' TYPE_MATCH 2022-11-23T01:37:55.6261651Z { 2022-11-23T01:37:55.6261791Z 'guard_types': ['TYPE_MATCH'], 2022-11-23T01:37:55.6262005Z 'code': ['___check_type_id(ex[0], 93851459086816)'], 2022-11-23T01:37:55.6262221Z 'obj_weakref': 2022-11-23T01:37:55.6262477Z 'guarded_class': 2022-11-23T01:37:55.6262541Z } 2022-11-23T01:37:55.6262594Z 2022-11-23T01:37:55.6262663Z - 2022-11-23T01:37:55.6262786Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.6262849Z { 2022-11-23T01:37:55.6262993Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6263101Z 'code': None, 2022-11-23T01:37:55.6263314Z 'obj_weakref': 2022-11-23T01:37:55.6263556Z 'guarded_class': 2022-11-23T01:37:55.6263620Z } 2022-11-23T01:37:55.6263685Z 2022-11-23T01:37:55.6263756Z - 2022-11-23T01:37:55.6263886Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.6263952Z { 2022-11-23T01:37:55.6264092Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6264251Z 'code': ['___check_obj_id(model, 140539072680016)'], 2022-11-23T01:37:55.6264375Z 'obj_weakref': None 2022-11-23T01:37:55.6264610Z 'guarded_class': 2022-11-23T01:37:55.6264674Z } 2022-11-23T01:37:55.6264738Z 2022-11-23T01:37:55.6264811Z - 2022-11-23T01:37:55.6264935Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.6264986Z { 2022-11-23T01:37:55.6265124Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.6265344Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.6265466Z 'obj_weakref': None 2022-11-23T01:37:55.6265696Z 'guarded_class': 2022-11-23T01:37:55.6265760Z } 2022-11-23T01:37:55.6265824Z 2022-11-23T01:37:55.6265880Z - 2022-11-23T01:37:55.6266018Z global 'torch' FUNCTION_MATCH 2022-11-23T01:37:55.6266083Z { 2022-11-23T01:37:55.6266206Z 'guard_types': None, 2022-11-23T01:37:55.6266317Z 'code': None, 2022-11-23T01:37:55.6266438Z 'obj_weakref': None 2022-11-23T01:37:55.6266562Z 'guarded_class': None 2022-11-23T01:37:55.6266611Z } 2022-11-23T01:37:55.6266673Z 2022-11-23T01:37:55.6266744Z - 2022-11-23T01:37:55.6266899Z global 'torch.float32' CONSTANT_MATCH 2022-11-23T01:37:55.6266963Z { 2022-11-23T01:37:55.6267109Z 'guard_types': ['EQUALS_MATCH'], 2022-11-23T01:37:55.6267288Z 'code': ["str(torch.float32) == 'torch.float32'"], 2022-11-23T01:37:55.6267398Z 'obj_weakref': None 2022-11-23T01:37:55.6267625Z 'guarded_class': 2022-11-23T01:37:55.6267693Z } 2022-11-23T01:37:55.6267758Z 2022-11-23T01:37:55.6268054Z [2022-11-23 01:36:36,437] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 451 2022-11-23T01:37:55.6268507Z [2022-11-23 01:36:37,822] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ne/cnef5yzokys7sayms322bjfccv2dc5va3mnwiet2mxkoc4wlgyxn.py 2022-11-23T01:37:55.6268777Z [2022-11-23 01:36:37,822] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 451 2022-11-23T01:37:55.6268782Z 2022-11-23T01:37:55.6268878Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.6268936Z import torch 2022-11-23T01:37:55.6269005Z import random 2022-11-23T01:37:55.6269123Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.6269282Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.6269287Z 2022-11-23T01:37:55.6269367Z aten = torch.ops.aten 2022-11-23T01:37:55.6269501Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.6269597Z async_compile = AsyncCompile() 2022-11-23T01:37:55.6269603Z 2022-11-23T01:37:55.6269607Z 2022-11-23T01:37:55.6269746Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.6269940Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.6270061Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.6270162Z float* __restrict__ out_ptr0, 2022-11-23T01:37:55.6270261Z float* __restrict__ out_ptr1, 2022-11-23T01:37:55.6270353Z float* __restrict__ out_ptr2, 2022-11-23T01:37:55.6270447Z float* __restrict__ out_ptr3, 2022-11-23T01:37:55.6270540Z float* __restrict__ out_ptr4, 2022-11-23T01:37:55.6270621Z float* __restrict__ out_ptr5) 2022-11-23T01:37:55.6270682Z { 2022-11-23T01:37:55.6270759Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:37:55.6270820Z { 2022-11-23T01:37:55.6270968Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.6271105Z auto tmp1 = at::vec::Vectorized(static_cast(1)); 2022-11-23T01:37:55.6271190Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6271266Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.6271352Z tmp2.store(out_ptr1 + 8*i0); 2022-11-23T01:37:55.6271412Z } 2022-11-23T01:37:55.6271499Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.6271577Z for(long i0=8; i0<8; i0+=1) 2022-11-23T01:37:55.6271636Z { 2022-11-23T01:37:55.6271715Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.6271801Z auto tmp1 = static_cast(1); 2022-11-23T01:37:55.6271882Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6271960Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.6272036Z out_ptr1[i0] = tmp2; 2022-11-23T01:37:55.6272096Z } 2022-11-23T01:37:55.6272179Z for(long i0=0; i0<4096; i0+=1) 2022-11-23T01:37:55.6272239Z { 2022-11-23T01:37:55.6272357Z auto tmp0 = at::vec::Vectorized(static_cast(0)); 2022-11-23T01:37:55.6272448Z tmp0.store(out_ptr2 + 8*i0); 2022-11-23T01:37:55.6272508Z } 2022-11-23T01:37:55.6272594Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.6272674Z for(long i0=32768; i0<32768; i0+=1) 2022-11-23T01:37:55.6272732Z { 2022-11-23T01:37:55.6272826Z auto tmp0 = static_cast(0); 2022-11-23T01:37:55.6272890Z out_ptr2[i0] = tmp0; 2022-11-23T01:37:55.6272949Z } 2022-11-23T01:37:55.6273028Z for(long i0=0; i0<4096; i0+=1) 2022-11-23T01:37:55.6273088Z { 2022-11-23T01:37:55.6273214Z auto tmp0 = at::vec::Vectorized(static_cast(0)); 2022-11-23T01:37:55.6273303Z tmp0.store(out_ptr3 + 8*i0); 2022-11-23T01:37:55.6273350Z } 2022-11-23T01:37:55.6273438Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.6273519Z for(long i0=32768; i0<32768; i0+=1) 2022-11-23T01:37:55.6273581Z { 2022-11-23T01:37:55.6273674Z auto tmp0 = static_cast(0); 2022-11-23T01:37:55.6273749Z out_ptr3[i0] = tmp0; 2022-11-23T01:37:55.6273840Z } 2022-11-23T01:37:55.6273905Z #pragma GCC ivdep 2022-11-23T01:37:55.6273983Z for(long i0=0; i0<6; i0+=1) 2022-11-23T01:37:55.6274041Z { 2022-11-23T01:37:55.6274101Z { 2022-11-23T01:37:55.6274163Z { 2022-11-23T01:37:55.6274264Z auto tmp0 = static_cast(0); 2022-11-23T01:37:55.6274343Z out_ptr4[i0] = tmp0; 2022-11-23T01:37:55.6274393Z } 2022-11-23T01:37:55.6274453Z } 2022-11-23T01:37:55.6274514Z } 2022-11-23T01:37:55.6274588Z #pragma GCC ivdep 2022-11-23T01:37:55.6274664Z for(long i0=0; i0<6; i0+=1) 2022-11-23T01:37:55.6274755Z { 2022-11-23T01:37:55.6274803Z { 2022-11-23T01:37:55.6274865Z { 2022-11-23T01:37:55.6274969Z auto tmp0 = static_cast(3.1416); 2022-11-23T01:37:55.6275048Z out_ptr5[i0] = tmp0; 2022-11-23T01:37:55.6275108Z } 2022-11-23T01:37:55.6275168Z } 2022-11-23T01:37:55.6275228Z } 2022-11-23T01:37:55.6275276Z } 2022-11-23T01:37:55.6275359Z ''') 2022-11-23T01:37:55.6275364Z 2022-11-23T01:37:55.6275368Z 2022-11-23T01:37:55.6275456Z async_compile.wait(globals()) 2022-11-23T01:37:55.6275527Z del async_compile 2022-11-23T01:37:55.6275532Z 2022-11-23T01:37:55.6275600Z def call(args): 2022-11-23T01:37:55.6275669Z arg0_1, = args 2022-11-23T01:37:55.6275738Z args.clear() 2022-11-23T01:37:55.6275919Z buf0 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6276116Z buf4 = empty_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6276337Z buf1 = empty_strided((1, 8, 64, 64), (32768, 4096, 64, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6276561Z buf2 = empty_strided((1, 8, 64, 64), (32768, 4096, 64, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6276753Z buf3 = empty_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6276950Z buf5 = empty_strided((2, 3), (3, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6277211Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(buf0.data_ptr()), c_void_p(buf4.data_ptr()), c_void_p(buf1.data_ptr()), c_void_p(buf2.data_ptr()), c_void_p(buf3.data_ptr()), c_void_p(buf5.data_ptr())) 2022-11-23T01:37:55.6277277Z del arg0_1 2022-11-23T01:37:55.6277377Z return (buf0, buf1, buf2, buf3, buf4, buf5, ) 2022-11-23T01:37:55.6277382Z 2022-11-23T01:37:55.6277386Z 2022-11-23T01:37:55.6277449Z if __name__ == "__main__": 2022-11-23T01:37:55.6277563Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.6277684Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.6277880Z arg0_1 = rand_strided((8, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6277987Z print_performance(lambda: call([arg0_1])) 2022-11-23T01:37:55.6277992Z 2022-11-23T01:37:55.6278058Z ok (1.428s) 2022-11-23T01:37:55.6278438Z test_cpu_broadcast1_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:36:37,833] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.6278820Z [2022-11-23 01:36:37,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.6279095Z [2022-11-23 01:36:37,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.6279408Z [2022-11-23 01:36:37,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.6279987Z [2022-11-23 01:36:37,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.6280663Z [2022-11-23 01:36:37,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.6281294Z [2022-11-23 01:36:37,833] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.6281630Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.6281828Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.6282023Z 4 BINARY_ADD 2022-11-23T01:37:55.6282220Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.6282405Z 8 RETURN_VALUE 2022-11-23T01:37:55.6282574Z 2022-11-23T01:37:55.6282666Z 2022-11-23T01:37:55.6282991Z [2022-11-23 01:36:37,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.6283410Z [2022-11-23 01:36:37,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.6283867Z [2022-11-23 01:36:37,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.6284331Z [2022-11-23 01:36:37,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.6284785Z [2022-11-23 01:36:37,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.6285261Z [2022-11-23 01:36:37,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6285818Z [2022-11-23 01:36:37,835] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.6286307Z [2022-11-23 01:36:37,835] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6286732Z [2022-11-23 01:36:37,835] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.6287212Z [2022-11-23 01:36:37,837] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.6287639Z [2022-11-23 01:36:37,839] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.6288017Z [2022-11-23 01:36:37,840] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6288307Z __compiled_fn_460 .3579 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6288542Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.6288752Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.6289053Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.6289286Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.6289418Z 2022-11-23T01:37:55.6289702Z [2022-11-23 01:36:37,840] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6290006Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6290218Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6290419Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.6290631Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.6290829Z 8 RETURN_VALUE 2022-11-23T01:37:55.6290941Z 2022-11-23T01:37:55.6290991Z 2022-11-23T01:37:55.6291363Z [2022-11-23 01:36:37,840] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6291680Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_460) 2022-11-23T01:37:55.6291903Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6292098Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6292291Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6292491Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6292683Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.6292879Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.6293077Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.6293285Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6293515Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6293724Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6293943Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.6294143Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.6294336Z 26 RETURN_VALUE 2022-11-23T01:37:55.6294449Z 2022-11-23T01:37:55.6294498Z 2022-11-23T01:37:55.6294776Z [2022-11-23 01:36:37,841] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6295000Z - 2022-11-23T01:37:55.6295196Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.6295378Z { 2022-11-23T01:37:55.6295617Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6295934Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.6296248Z 'obj_weakref': None 2022-11-23T01:37:55.6296591Z 'guarded_class': 2022-11-23T01:37:55.6296824Z } 2022-11-23T01:37:55.6296972Z 2022-11-23T01:37:55.6297134Z - 2022-11-23T01:37:55.6297353Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.6297524Z { 2022-11-23T01:37:55.6297761Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6297997Z 'code': None, 2022-11-23T01:37:55.6298308Z 'obj_weakref': 2022-11-23T01:37:55.6298849Z 'guarded_class': 2022-11-23T01:37:55.6299192Z } 2022-11-23T01:37:55.6299338Z 2022-11-23T01:37:55.6299511Z - 2022-11-23T01:37:55.6299727Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.6299900Z { 2022-11-23T01:37:55.6300138Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6300371Z 'code': None, 2022-11-23T01:37:55.6300693Z 'obj_weakref': 2022-11-23T01:37:55.6301101Z 'guarded_class': 2022-11-23T01:37:55.6301345Z } 2022-11-23T01:37:55.6301501Z 2022-11-23T01:37:55.6301654Z - 2022-11-23T01:37:55.6301876Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.6302062Z { 2022-11-23T01:37:55.6302280Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6302576Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.6302835Z 'obj_weakref': None 2022-11-23T01:37:55.6303172Z 'guarded_class': 2022-11-23T01:37:55.6303410Z } 2022-11-23T01:37:55.6303567Z 2022-11-23T01:37:55.6303718Z - 2022-11-23T01:37:55.6303934Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.6304118Z { 2022-11-23T01:37:55.6304337Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.6304681Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.6304967Z 'obj_weakref': None 2022-11-23T01:37:55.6305303Z 'guarded_class': 2022-11-23T01:37:55.6305516Z } 2022-11-23T01:37:55.6305673Z 2022-11-23T01:37:55.6306028Z [2022-11-23 01:36:37,849] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 452 2022-11-23T01:37:55.6306581Z [2022-11-23 01:36:37,858] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vd/cvd6rkbyjnlraudq43tszlkkwz246sqlrovufx337axypyfzz25g.py 2022-11-23T01:37:55.6307118Z [2022-11-23 01:36:37,858] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 452 2022-11-23T01:37:55.6307317Z 2022-11-23T01:37:55.6307412Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.6307606Z import torch 2022-11-23T01:37:55.6307765Z import random 2022-11-23T01:37:55.6308063Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.6308437Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.6308578Z 2022-11-23T01:37:55.6308657Z aten = torch.ops.aten 2022-11-23T01:37:55.6308900Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.6309151Z async_compile = AsyncCompile() 2022-11-23T01:37:55.6309283Z 2022-11-23T01:37:55.6309288Z 2022-11-23T01:37:55.6309419Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.6309752Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.6310154Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.6310400Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.6310618Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.6310807Z { 2022-11-23T01:37:55.6310971Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:37:55.6311132Z { 2022-11-23T01:37:55.6311375Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.6311658Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.6311877Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6312080Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.6312262Z } 2022-11-23T01:37:55.6312432Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.6312633Z for(long i0=8; i0<10; i0+=1) 2022-11-23T01:37:55.6312805Z { 2022-11-23T01:37:55.6312964Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.6313154Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.6313349Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6313527Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.6313700Z } 2022-11-23T01:37:55.6313848Z } 2022-11-23T01:37:55.6314000Z ''') 2022-11-23T01:37:55.6314097Z 2022-11-23T01:37:55.6314102Z 2022-11-23T01:37:55.6314193Z async_compile.wait(globals()) 2022-11-23T01:37:55.6314389Z del async_compile 2022-11-23T01:37:55.6314500Z 2022-11-23T01:37:55.6314570Z def call(args): 2022-11-23T01:37:55.6314733Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.6314910Z args.clear() 2022-11-23T01:37:55.6315210Z buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6315519Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.6315767Z del arg0_1 2022-11-23T01:37:55.6315935Z del arg1_1 2022-11-23T01:37:55.6316089Z return (buf0, ) 2022-11-23T01:37:55.6316199Z 2022-11-23T01:37:55.6316203Z 2022-11-23T01:37:55.6316281Z if __name__ == "__main__": 2022-11-23T01:37:55.6316506Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.6316757Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.6317108Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6317461Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6317728Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.6317860Z 2022-11-23T01:37:55.6317927Z ok (0.031s) 2022-11-23T01:37:55.6318385Z test_cpu_broadcast1_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:36:37,862] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.6318905Z [2022-11-23 01:36:37,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.6319332Z [2022-11-23 01:36:37,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.6319748Z [2022-11-23 01:36:37,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.6320229Z [2022-11-23 01:36:37,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.6320814Z [2022-11-23 01:36:37,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.6321392Z [2022-11-23 01:36:37,862] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.6321706Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.6321919Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.6322111Z 4 BINARY_ADD 2022-11-23T01:37:55.6322296Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.6322491Z 8 RETURN_VALUE 2022-11-23T01:37:55.6322696Z 2022-11-23T01:37:55.6322787Z 2022-11-23T01:37:55.6323049Z [2022-11-23 01:36:37,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.6323465Z [2022-11-23 01:36:37,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.6323879Z [2022-11-23 01:36:37,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.6324341Z [2022-11-23 01:36:37,862] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.6324777Z [2022-11-23 01:36:37,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.6325213Z [2022-11-23 01:36:37,863] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6325745Z [2022-11-23 01:36:37,863] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.6326234Z [2022-11-23 01:36:37,864] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6326644Z [2022-11-23 01:36:37,864] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.6327082Z [2022-11-23 01:36:37,864] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.6327526Z [2022-11-23 01:36:37,867] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.6327892Z [2022-11-23 01:36:37,867] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6328187Z __compiled_fn_461 .3585 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6328437Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.6328642Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.6328931Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.6329182Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.6329314Z 2022-11-23T01:37:55.6329597Z [2022-11-23 01:36:37,868] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6329890Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6330108Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6330322Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.6330541Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.6330725Z 8 RETURN_VALUE 2022-11-23T01:37:55.6330842Z 2022-11-23T01:37:55.6330904Z 2022-11-23T01:37:55.6331271Z [2022-11-23 01:36:37,868] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6331570Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_461) 2022-11-23T01:37:55.6331800Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6332010Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6332196Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6332396Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6332602Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.6332786Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.6332984Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.6333246Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6333479Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6333679Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6333874Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.6334073Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.6334254Z 26 RETURN_VALUE 2022-11-23T01:37:55.6334368Z 2022-11-23T01:37:55.6334431Z 2022-11-23T01:37:55.6334709Z [2022-11-23 01:36:37,868] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6334918Z - 2022-11-23T01:37:55.6335170Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.6335349Z { 2022-11-23T01:37:55.6335575Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6335894Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.6336166Z 'obj_weakref': None 2022-11-23T01:37:55.6336502Z 'guarded_class': 2022-11-23T01:37:55.6336735Z } 2022-11-23T01:37:55.6336897Z 2022-11-23T01:37:55.6337050Z - 2022-11-23T01:37:55.6337270Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.6337455Z { 2022-11-23T01:37:55.6337683Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6337921Z 'code': None, 2022-11-23T01:37:55.6338250Z 'obj_weakref': 2022-11-23T01:37:55.6338669Z 'guarded_class': 2022-11-23T01:37:55.6339132Z } 2022-11-23T01:37:55.6339301Z 2022-11-23T01:37:55.6339471Z - 2022-11-23T01:37:55.6339681Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.6339860Z { 2022-11-23T01:37:55.6340104Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6340328Z 'code': None, 2022-11-23T01:37:55.6340651Z 'obj_weakref': 2022-11-23T01:37:55.6341068Z 'guarded_class': 2022-11-23T01:37:55.6341303Z } 2022-11-23T01:37:55.6341468Z 2022-11-23T01:37:55.6341633Z - 2022-11-23T01:37:55.6341845Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.6342034Z { 2022-11-23T01:37:55.6342263Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6342563Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.6342809Z 'obj_weakref': None 2022-11-23T01:37:55.6343162Z 'guarded_class': 2022-11-23T01:37:55.6343395Z } 2022-11-23T01:37:55.6343540Z 2022-11-23T01:37:55.6343710Z - 2022-11-23T01:37:55.6343929Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.6344102Z { 2022-11-23T01:37:55.6344335Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.6344676Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.6344944Z 'obj_weakref': None 2022-11-23T01:37:55.6345283Z 'guarded_class': 2022-11-23T01:37:55.6345516Z } 2022-11-23T01:37:55.6345665Z 2022-11-23T01:37:55.6346029Z [2022-11-23 01:36:37,872] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 453 2022-11-23T01:37:55.6346603Z [2022-11-23 01:36:39,251] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sl/cslzzwajfwbzchmyvlhl5c6c654qychkx7dqmylmj4kkic4htyc3.py 2022-11-23T01:37:55.6347223Z [2022-11-23 01:36:39,251] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 453 2022-11-23T01:37:55.6347431Z 2022-11-23T01:37:55.6347514Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.6347711Z import torch 2022-11-23T01:37:55.6347881Z import random 2022-11-23T01:37:55.6348087Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.6348454Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.6348612Z 2022-11-23T01:37:55.6348691Z aten = torch.ops.aten 2022-11-23T01:37:55.6348929Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.6349184Z async_compile = AsyncCompile() 2022-11-23T01:37:55.6349364Z 2022-11-23T01:37:55.6349368Z 2022-11-23T01:37:55.6349515Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.6349853Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.6350191Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.6350446Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.6350683Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.6350859Z { 2022-11-23T01:37:55.6351020Z #pragma GCC ivdep 2022-11-23T01:37:55.6351209Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.6351373Z { 2022-11-23T01:37:55.6351548Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:37:55.6351730Z { 2022-11-23T01:37:55.6351954Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i1); 2022-11-23T01:37:55.6352241Z auto tmp1 = at::vec::Vectorized(in_ptr1[i0]); 2022-11-23T01:37:55.6352473Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6352698Z tmp2.store(out_ptr0 + (8*i1) + (10*i0)); 2022-11-23T01:37:55.6352877Z } 2022-11-23T01:37:55.6353060Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.6353261Z for(long i1=8; i1<10; i1+=1) 2022-11-23T01:37:55.6353424Z { 2022-11-23T01:37:55.6353603Z auto tmp0 = in_ptr0[i1]; 2022-11-23T01:37:55.6353800Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.6353983Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6354193Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:37:55.6354373Z } 2022-11-23T01:37:55.6354510Z } 2022-11-23T01:37:55.6354658Z } 2022-11-23T01:37:55.6354824Z ''') 2022-11-23T01:37:55.6354919Z 2022-11-23T01:37:55.6354924Z 2022-11-23T01:37:55.6355000Z async_compile.wait(globals()) 2022-11-23T01:37:55.6355192Z del async_compile 2022-11-23T01:37:55.6355300Z 2022-11-23T01:37:55.6355370Z def call(args): 2022-11-23T01:37:55.6355534Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.6355716Z args.clear() 2022-11-23T01:37:55.6356032Z buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6356364Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.6356603Z del arg0_1 2022-11-23T01:37:55.6356771Z del arg1_1 2022-11-23T01:37:55.6356945Z return (buf0, ) 2022-11-23T01:37:55.6357044Z 2022-11-23T01:37:55.6357048Z 2022-11-23T01:37:55.6357125Z if __name__ == "__main__": 2022-11-23T01:37:55.6357352Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.6357617Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.6357952Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6358318Z arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6358589Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.6358737Z 2022-11-23T01:37:55.6358805Z ok (1.395s) 2022-11-23T01:37:55.6359249Z test_cpu_broadcast1_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:36:39,259] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.6359819Z [2022-11-23 01:36:39,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.6360250Z [2022-11-23 01:36:39,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.6360665Z [2022-11-23 01:36:39,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.6361153Z [2022-11-23 01:36:39,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.6361688Z [2022-11-23 01:36:39,259] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.6362305Z [2022-11-23 01:36:39,260] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.6362619Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.6362830Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.6363023Z 4 BINARY_ADD 2022-11-23T01:37:55.6363223Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.6363409Z 8 RETURN_VALUE 2022-11-23T01:37:55.6363580Z 2022-11-23T01:37:55.6363672Z 2022-11-23T01:37:55.6363942Z [2022-11-23 01:36:39,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.6364342Z [2022-11-23 01:36:39,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.6364751Z [2022-11-23 01:36:39,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.6365210Z [2022-11-23 01:36:39,260] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.6365661Z [2022-11-23 01:36:39,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.6366086Z [2022-11-23 01:36:39,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6366616Z [2022-11-23 01:36:39,262] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.6367097Z [2022-11-23 01:36:39,262] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6367526Z [2022-11-23 01:36:39,262] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.6367954Z [2022-11-23 01:36:39,264] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.6368400Z [2022-11-23 01:36:39,267] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.6368791Z [2022-11-23 01:36:39,267] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6369069Z __compiled_fn_462 .3591 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6369319Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.6369532Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.6369839Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.6370072Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.6370203Z 2022-11-23T01:37:55.6370488Z [2022-11-23 01:36:39,267] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6370789Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6370991Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6371207Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.6371422Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.6371607Z 8 RETURN_VALUE 2022-11-23T01:37:55.6371724Z 2022-11-23T01:37:55.6371787Z 2022-11-23T01:37:55.6372155Z [2022-11-23 01:36:39,267] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6372517Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_462) 2022-11-23T01:37:55.6372734Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6372950Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6373146Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6373333Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6373543Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.6373737Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.6373923Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.6374147Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6374411Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6374611Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6374811Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.6375012Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.6375194Z 26 RETURN_VALUE 2022-11-23T01:37:55.6375305Z 2022-11-23T01:37:55.6375369Z 2022-11-23T01:37:55.6375647Z [2022-11-23 01:36:39,268] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6375873Z - 2022-11-23T01:37:55.6376074Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.6376253Z { 2022-11-23T01:37:55.6376494Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6376801Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.6377072Z 'obj_weakref': None 2022-11-23T01:37:55.6377411Z 'guarded_class': 2022-11-23T01:37:55.6377631Z } 2022-11-23T01:37:55.6377791Z 2022-11-23T01:37:55.6377954Z - 2022-11-23T01:37:55.6378160Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.6385757Z { 2022-11-23T01:37:55.6386110Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6386359Z 'code': None, 2022-11-23T01:37:55.6386703Z 'obj_weakref': 2022-11-23T01:37:55.6387136Z 'guarded_class': 2022-11-23T01:37:55.6387377Z } 2022-11-23T01:37:55.6387539Z 2022-11-23T01:37:55.6387705Z - 2022-11-23T01:37:55.6387909Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.6388090Z { 2022-11-23T01:37:55.6388448Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6388673Z 'code': None, 2022-11-23T01:37:55.6389002Z 'obj_weakref': 2022-11-23T01:37:55.6389417Z 'guarded_class': 2022-11-23T01:37:55.6389651Z } 2022-11-23T01:37:55.6389809Z 2022-11-23T01:37:55.6389977Z - 2022-11-23T01:37:55.6390189Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.6390377Z { 2022-11-23T01:37:55.6390605Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6390887Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.6391145Z 'obj_weakref': None 2022-11-23T01:37:55.6391494Z 'guarded_class': 2022-11-23T01:37:55.6391728Z } 2022-11-23T01:37:55.6391870Z 2022-11-23T01:37:55.6392034Z - 2022-11-23T01:37:55.6392246Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.6392417Z { 2022-11-23T01:37:55.6392647Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.6392989Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.6393263Z 'obj_weakref': None 2022-11-23T01:37:55.6393738Z 'guarded_class': 2022-11-23T01:37:55.6393974Z } 2022-11-23T01:37:55.6394120Z 2022-11-23T01:37:55.6394483Z [2022-11-23 01:36:39,274] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 454 2022-11-23T01:37:55.6395052Z [2022-11-23 01:36:40,652] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/xn/cxnzu2ez3uonaite3pr5sfwlez6edumgedvv2kgumhpdvlva7uxd.py 2022-11-23T01:37:55.6395594Z [2022-11-23 01:36:40,653] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 454 2022-11-23T01:37:55.6395783Z 2022-11-23T01:37:55.6395945Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.6396141Z import torch 2022-11-23T01:37:55.6396310Z import random 2022-11-23T01:37:55.6396516Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.6396780Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.6396933Z 2022-11-23T01:37:55.6397012Z aten = torch.ops.aten 2022-11-23T01:37:55.6397245Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.6397495Z async_compile = AsyncCompile() 2022-11-23T01:37:55.6397623Z 2022-11-23T01:37:55.6397627Z 2022-11-23T01:37:55.6397768Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.6398102Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.6398434Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.6398680Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.6398911Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.6399088Z { 2022-11-23T01:37:55.6399253Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:37:55.6399427Z { 2022-11-23T01:37:55.6399647Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.6399922Z auto tmp1 = at::vec::Vectorized(in_ptr1[0]); 2022-11-23T01:37:55.6400151Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6400342Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.6400525Z } 2022-11-23T01:37:55.6400701Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.6400886Z for(long i0=8; i0<10; i0+=1) 2022-11-23T01:37:55.6401055Z { 2022-11-23T01:37:55.6401222Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.6401410Z auto tmp1 = in_ptr1[0]; 2022-11-23T01:37:55.6401588Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6401777Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.6401944Z } 2022-11-23T01:37:55.6402077Z } 2022-11-23T01:37:55.6402244Z ''') 2022-11-23T01:37:55.6402340Z 2022-11-23T01:37:55.6402344Z 2022-11-23T01:37:55.6402432Z async_compile.wait(globals()) 2022-11-23T01:37:55.6402611Z del async_compile 2022-11-23T01:37:55.6402719Z 2022-11-23T01:37:55.6402788Z def call(args): 2022-11-23T01:37:55.6402964Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.6403131Z args.clear() 2022-11-23T01:37:55.6403438Z buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6403760Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.6403993Z del arg0_1 2022-11-23T01:37:55.6404157Z del arg1_1 2022-11-23T01:37:55.6404324Z return (buf0, ) 2022-11-23T01:37:55.6404431Z 2022-11-23T01:37:55.6404436Z 2022-11-23T01:37:55.6404510Z if __name__ == "__main__": 2022-11-23T01:37:55.6404718Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.6404982Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.6405325Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6405668Z arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6405933Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.6406077Z 2022-11-23T01:37:55.6406143Z ok (1.401s) 2022-11-23T01:37:55.6406622Z test_cpu_broadcast1_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 01:36:40,660] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.6407147Z [2022-11-23 01:36:40,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.6407571Z [2022-11-23 01:36:40,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.6407995Z [2022-11-23 01:36:40,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.6408464Z [2022-11-23 01:36:40,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.6409040Z [2022-11-23 01:36:40,660] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.6409608Z [2022-11-23 01:36:40,661] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.6409931Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.6410128Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.6410318Z 4 BINARY_ADD 2022-11-23T01:37:55.6410512Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.6410692Z 8 RETURN_VALUE 2022-11-23T01:37:55.6410858Z 2022-11-23T01:37:55.6410953Z 2022-11-23T01:37:55.6411225Z [2022-11-23 01:36:40,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.6411638Z [2022-11-23 01:36:40,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.6412034Z [2022-11-23 01:36:40,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.6412491Z [2022-11-23 01:36:40,661] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.6412943Z [2022-11-23 01:36:40,662] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.6413362Z [2022-11-23 01:36:40,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6413886Z [2022-11-23 01:36:40,663] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.6414364Z [2022-11-23 01:36:40,663] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6414785Z [2022-11-23 01:36:40,663] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.6415209Z [2022-11-23 01:36:40,664] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.6415647Z [2022-11-23 01:36:40,667] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.6416024Z [2022-11-23 01:36:40,668] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6416313Z __compiled_fn_463 .3597 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6416549Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.6416755Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.6417054Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.6417286Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.6417417Z 2022-11-23T01:37:55.6417700Z [2022-11-23 01:36:40,668] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6418001Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6418211Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6418404Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.6418622Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.6419018Z 8 RETURN_VALUE 2022-11-23T01:37:55.6419259Z 2022-11-23T01:37:55.6419322Z 2022-11-23T01:37:55.6419700Z [2022-11-23 01:36:40,668] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6420003Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_463) 2022-11-23T01:37:55.6420226Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6420435Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6420614Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6420812Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6421016Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.6421241Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.6421437Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.6421657Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6421891Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6422094Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6422291Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.6422489Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.6422671Z 26 RETURN_VALUE 2022-11-23T01:37:55.6422676Z 2022-11-23T01:37:55.6422737Z 2022-11-23T01:37:55.6422931Z [2022-11-23 01:36:40,669] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6423006Z - 2022-11-23T01:37:55.6423130Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.6423197Z { 2022-11-23T01:37:55.6423328Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6423520Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.6423648Z 'obj_weakref': None 2022-11-23T01:37:55.6423876Z 'guarded_class': 2022-11-23T01:37:55.6423942Z } 2022-11-23T01:37:55.6424008Z 2022-11-23T01:37:55.6424081Z - 2022-11-23T01:37:55.6424196Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.6424263Z { 2022-11-23T01:37:55.6424410Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6424521Z 'code': None, 2022-11-23T01:37:55.6424739Z 'obj_weakref': 2022-11-23T01:37:55.6424998Z 'guarded_class': 2022-11-23T01:37:55.6425066Z } 2022-11-23T01:37:55.6425117Z 2022-11-23T01:37:55.6425188Z - 2022-11-23T01:37:55.6425317Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.6425387Z { 2022-11-23T01:37:55.6425534Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6425646Z 'code': None, 2022-11-23T01:37:55.6425863Z 'obj_weakref': 2022-11-23T01:37:55.6426108Z 'guarded_class': 2022-11-23T01:37:55.6426177Z } 2022-11-23T01:37:55.6426242Z 2022-11-23T01:37:55.6426315Z - 2022-11-23T01:37:55.6426451Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.6426517Z { 2022-11-23T01:37:55.6426655Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6426815Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.6426937Z 'obj_weakref': None 2022-11-23T01:37:55.6427173Z 'guarded_class': 2022-11-23T01:37:55.6427243Z } 2022-11-23T01:37:55.6427306Z 2022-11-23T01:37:55.6427380Z - 2022-11-23T01:37:55.6427506Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.6427559Z { 2022-11-23T01:37:55.6427700Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.6427951Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.6428078Z 'obj_weakref': None 2022-11-23T01:37:55.6428399Z 'guarded_class': 2022-11-23T01:37:55.6428468Z } 2022-11-23T01:37:55.6428531Z 2022-11-23T01:37:55.6428786Z [2022-11-23 01:36:40,674] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 455 2022-11-23T01:37:55.6429157Z [2022-11-23 01:36:42,045] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rg/crgyd3756rfdkzex3i7gwzxp5geru6n7rcvvxh3mhel7ov66wryo.py 2022-11-23T01:37:55.6429467Z [2022-11-23 01:36:42,046] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 455 2022-11-23T01:37:55.6429473Z 2022-11-23T01:37:55.6429567Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.6429637Z import torch 2022-11-23T01:37:55.6429707Z import random 2022-11-23T01:37:55.6429823Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.6429947Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.6429952Z 2022-11-23T01:37:55.6430016Z aten = torch.ops.aten 2022-11-23T01:37:55.6430149Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.6430240Z async_compile = AsyncCompile() 2022-11-23T01:37:55.6430245Z 2022-11-23T01:37:55.6430250Z 2022-11-23T01:37:55.6430389Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.6430594Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.6430715Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.6430817Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.6430916Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.6430962Z { 2022-11-23T01:37:55.6431037Z #pragma GCC ivdep 2022-11-23T01:37:55.6431120Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.6431181Z { 2022-11-23T01:37:55.6431266Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:37:55.6431327Z { 2022-11-23T01:37:55.6431468Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i1); 2022-11-23T01:37:55.6431597Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + (8*i1) + (10*i0)); 2022-11-23T01:37:55.6431682Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6431782Z tmp2.store(out_ptr0 + (8*i1) + (10*i0)); 2022-11-23T01:37:55.6431844Z } 2022-11-23T01:37:55.6431934Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.6432016Z for(long i1=8; i1<10; i1+=1) 2022-11-23T01:37:55.6432076Z { 2022-11-23T01:37:55.6432146Z auto tmp0 = in_ptr0[i1]; 2022-11-23T01:37:55.6432241Z auto tmp1 = in_ptr1[i1 + (10*i0)]; 2022-11-23T01:37:55.6432322Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6432411Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:37:55.6432475Z } 2022-11-23T01:37:55.6432535Z } 2022-11-23T01:37:55.6432594Z } 2022-11-23T01:37:55.6432661Z ''') 2022-11-23T01:37:55.6432666Z 2022-11-23T01:37:55.6432671Z 2022-11-23T01:37:55.6432760Z async_compile.wait(globals()) 2022-11-23T01:37:55.6432831Z del async_compile 2022-11-23T01:37:55.6432837Z 2022-11-23T01:37:55.6432906Z def call(args): 2022-11-23T01:37:55.6432979Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.6433049Z args.clear() 2022-11-23T01:37:55.6433252Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6433412Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.6433470Z del arg0_1 2022-11-23T01:37:55.6433537Z del arg1_1 2022-11-23T01:37:55.6433607Z return (buf0, ) 2022-11-23T01:37:55.6433612Z 2022-11-23T01:37:55.6433615Z 2022-11-23T01:37:55.6433695Z if __name__ == "__main__": 2022-11-23T01:37:55.6433838Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.6433964Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.6434164Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6434355Z arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6434470Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.6434475Z 2022-11-23T01:37:55.6434543Z ok (1.393s) 2022-11-23T01:37:55.6434890Z test_cpu_broadcast1_double (__main__.SweepInputsCpuTest) ... [2022-11-23 01:36:42,053] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.6435211Z [2022-11-23 01:36:42,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.6435433Z [2022-11-23 01:36:42,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.6435692Z [2022-11-23 01:36:42,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.6435984Z [2022-11-23 01:36:42,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.6436315Z [2022-11-23 01:36:42,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.6436649Z [2022-11-23 01:36:42,054] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.6436729Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.6436823Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.6436895Z 4 BINARY_ADD 2022-11-23T01:37:55.6436984Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.6437061Z 8 RETURN_VALUE 2022-11-23T01:37:55.6437121Z 2022-11-23T01:37:55.6437125Z 2022-11-23T01:37:55.6437399Z [2022-11-23 01:36:42,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.6437598Z [2022-11-23 01:36:42,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.6437843Z [2022-11-23 01:36:42,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.6438119Z [2022-11-23 01:36:42,054] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.6438364Z [2022-11-23 01:36:42,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.6438614Z [2022-11-23 01:36:42,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6438952Z [2022-11-23 01:36:42,056] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.6439206Z [2022-11-23 01:36:42,056] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6439446Z [2022-11-23 01:36:42,056] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.6439701Z [2022-11-23 01:36:42,058] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.6439952Z [2022-11-23 01:36:42,061] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.6440130Z [2022-11-23 01:36:42,061] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6440268Z __compiled_fn_464 .3603 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6440356Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.6440443Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.6440623Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.6440718Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.6440756Z 2022-11-23T01:37:55.6441039Z [2022-11-23 01:36:42,061] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6441132Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6441212Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6441304Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.6441394Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.6441470Z 8 RETURN_VALUE 2022-11-23T01:37:55.6441475Z 2022-11-23T01:37:55.6441535Z 2022-11-23T01:37:55.6441809Z [2022-11-23 01:36:42,061] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6441948Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_464) 2022-11-23T01:37:55.6442027Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6442116Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6442194Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6442281Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6442366Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.6442441Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.6442534Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.6442625Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6442725Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6442813Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6442888Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.6442979Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.6443052Z 26 RETURN_VALUE 2022-11-23T01:37:55.6443058Z 2022-11-23T01:37:55.6443115Z 2022-11-23T01:37:55.6443299Z [2022-11-23 01:36:42,062] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6443359Z - 2022-11-23T01:37:55.6443479Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.6443546Z { 2022-11-23T01:37:55.6443691Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6443881Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.6444003Z 'obj_weakref': None 2022-11-23T01:37:55.6444230Z 'guarded_class': 2022-11-23T01:37:55.6444281Z } 2022-11-23T01:37:55.6444343Z 2022-11-23T01:37:55.6444413Z - 2022-11-23T01:37:55.6444538Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.6444601Z { 2022-11-23T01:37:55.6444750Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6444858Z 'code': None, 2022-11-23T01:37:55.6445062Z 'obj_weakref': 2022-11-23T01:37:55.6445321Z 'guarded_class': 2022-11-23T01:37:55.6445384Z } 2022-11-23T01:37:55.6445447Z 2022-11-23T01:37:55.6445516Z - 2022-11-23T01:37:55.6445642Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.6445703Z { 2022-11-23T01:37:55.6445833Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6445943Z 'code': None, 2022-11-23T01:37:55.6446161Z 'obj_weakref': 2022-11-23T01:37:55.6446416Z 'guarded_class': 2022-11-23T01:37:55.6446483Z } 2022-11-23T01:37:55.6446545Z 2022-11-23T01:37:55.6446616Z - 2022-11-23T01:37:55.6446734Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.6446797Z { 2022-11-23T01:37:55.6446933Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6447136Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.6447258Z 'obj_weakref': None 2022-11-23T01:37:55.6447492Z 'guarded_class': 2022-11-23T01:37:55.6447554Z } 2022-11-23T01:37:55.6447604Z 2022-11-23T01:37:55.6447672Z - 2022-11-23T01:37:55.6447793Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.6447856Z { 2022-11-23T01:37:55.6447992Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.6448212Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.6448363Z 'obj_weakref': None 2022-11-23T01:37:55.6448573Z 'guarded_class': 2022-11-23T01:37:55.6448638Z } 2022-11-23T01:37:55.6448698Z 2022-11-23T01:37:55.6448960Z [2022-11-23 01:36:42,068] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 456 2022-11-23T01:37:55.6449336Z [2022-11-23 01:36:43,426] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/vg/cvgh25guxnpczazg4cz4blihxhh7zghiych2p3z2pkcwgdei5ptm.py 2022-11-23T01:37:55.6449605Z [2022-11-23 01:36:43,426] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 456 2022-11-23T01:37:55.6449611Z 2022-11-23T01:37:55.6449704Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.6449772Z import torch 2022-11-23T01:37:55.6449830Z import random 2022-11-23T01:37:55.6449945Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.6450068Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.6450073Z 2022-11-23T01:37:55.6450150Z aten = torch.ops.aten 2022-11-23T01:37:55.6450284Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.6450375Z async_compile = AsyncCompile() 2022-11-23T01:37:55.6450380Z 2022-11-23T01:37:55.6450384Z 2022-11-23T01:37:55.6450522Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.6450728Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.6450838Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.6450945Z const double* __restrict__ in_ptr1, 2022-11-23T01:37:55.6451044Z double* __restrict__ out_ptr0) 2022-11-23T01:37:55.6451103Z { 2022-11-23T01:37:55.6451179Z #pragma GCC ivdep 2022-11-23T01:37:55.6451259Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.6451318Z { 2022-11-23T01:37:55.6451386Z #pragma GCC ivdep 2022-11-23T01:37:55.6451468Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:37:55.6451531Z { 2022-11-23T01:37:55.6451594Z { 2022-11-23T01:37:55.6451657Z { 2022-11-23T01:37:55.6451750Z auto tmp0 = in_ptr0[i1]; 2022-11-23T01:37:55.6451849Z auto tmp2 = in_ptr1[i1 + (10*i0)]; 2022-11-23T01:37:55.6451947Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:37:55.6452038Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:37:55.6452129Z out_ptr0[i1 + (10*i0)] = tmp3; 2022-11-23T01:37:55.6452193Z } 2022-11-23T01:37:55.6452256Z } 2022-11-23T01:37:55.6452317Z } 2022-11-23T01:37:55.6452366Z } 2022-11-23T01:37:55.6452424Z } 2022-11-23T01:37:55.6452504Z ''') 2022-11-23T01:37:55.6452509Z 2022-11-23T01:37:55.6452513Z 2022-11-23T01:37:55.6452603Z async_compile.wait(globals()) 2022-11-23T01:37:55.6452674Z del async_compile 2022-11-23T01:37:55.6452682Z 2022-11-23T01:37:55.6452751Z def call(args): 2022-11-23T01:37:55.6452826Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.6452896Z args.clear() 2022-11-23T01:37:55.6453085Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:37:55.6453278Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.6453348Z del arg0_1 2022-11-23T01:37:55.6453414Z del arg1_1 2022-11-23T01:37:55.6453485Z return (buf0, ) 2022-11-23T01:37:55.6453491Z 2022-11-23T01:37:55.6453496Z 2022-11-23T01:37:55.6453570Z if __name__ == "__main__": 2022-11-23T01:37:55.6453684Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.6453793Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.6453991Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6454193Z arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:37:55.6454356Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.6454361Z 2022-11-23T01:37:55.6454427Z ok (1.380s) 2022-11-23T01:37:55.6454772Z test_cpu_broadcast1_int (__main__.SweepInputsCpuTest) ... [2022-11-23 01:36:43,434] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.6455050Z [2022-11-23 01:36:43,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.6455271Z [2022-11-23 01:36:43,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.6455526Z [2022-11-23 01:36:43,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.6455800Z [2022-11-23 01:36:43,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.6456126Z [2022-11-23 01:36:43,434] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.6456465Z [2022-11-23 01:36:43,434] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.6456558Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.6456649Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.6456722Z 4 BINARY_ADD 2022-11-23T01:37:55.6456812Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.6456887Z 8 RETURN_VALUE 2022-11-23T01:37:55.6456935Z 2022-11-23T01:37:55.6456939Z 2022-11-23T01:37:55.6457207Z [2022-11-23 01:36:43,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.6457418Z [2022-11-23 01:36:43,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.6457660Z [2022-11-23 01:36:43,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.6457939Z [2022-11-23 01:36:43,435] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.6458186Z [2022-11-23 01:36:43,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.6458436Z [2022-11-23 01:36:43,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6458944Z [2022-11-23 01:36:43,436] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.6459281Z [2022-11-23 01:36:43,436] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6459525Z [2022-11-23 01:36:43,436] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.6459770Z [2022-11-23 01:36:43,438] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.6460024Z [2022-11-23 01:36:43,443] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.6460216Z [2022-11-23 01:36:43,444] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6460414Z __compiled_fn_465 .3609 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6460507Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.6460594Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.6460777Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.6460858Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.6460881Z 2022-11-23T01:37:55.6461147Z [2022-11-23 01:36:43,444] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6461242Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6461332Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6461467Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.6461560Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.6461638Z 8 RETURN_VALUE 2022-11-23T01:37:55.6461643Z 2022-11-23T01:37:55.6461706Z 2022-11-23T01:37:55.6461976Z [2022-11-23 01:36:43,444] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6462089Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_465) 2022-11-23T01:37:55.6462178Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6462269Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6462348Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6462440Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6462529Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.6462605Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.6462682Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.6462790Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6462893Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6462982Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6463060Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.6463152Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.6463229Z 26 RETURN_VALUE 2022-11-23T01:37:55.6463237Z 2022-11-23T01:37:55.6463285Z 2022-11-23T01:37:55.6463473Z [2022-11-23 01:36:43,445] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6463546Z - 2022-11-23T01:37:55.6463669Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.6463737Z { 2022-11-23T01:37:55.6463881Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6464074Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.6464184Z 'obj_weakref': None 2022-11-23T01:37:55.6464414Z 'guarded_class': 2022-11-23T01:37:55.6464483Z } 2022-11-23T01:37:55.6464549Z 2022-11-23T01:37:55.6464623Z - 2022-11-23T01:37:55.6464751Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.6464816Z { 2022-11-23T01:37:55.6464950Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6465060Z 'code': None, 2022-11-23T01:37:55.6465281Z 'obj_weakref': 2022-11-23T01:37:55.6465538Z 'guarded_class': 2022-11-23T01:37:55.6465604Z } 2022-11-23T01:37:55.6465668Z 2022-11-23T01:37:55.6465740Z - 2022-11-23T01:37:55.6465854Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.6465919Z { 2022-11-23T01:37:55.6466066Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6466180Z 'code': None, 2022-11-23T01:37:55.6466396Z 'obj_weakref': 2022-11-23T01:37:55.6466658Z 'guarded_class': 2022-11-23T01:37:55.6466722Z } 2022-11-23T01:37:55.6466800Z 2022-11-23T01:37:55.6466876Z - 2022-11-23T01:37:55.6467011Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.6467077Z { 2022-11-23T01:37:55.6467215Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6467390Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.6467514Z 'obj_weakref': None 2022-11-23T01:37:55.6467735Z 'guarded_class': 2022-11-23T01:37:55.6467800Z } 2022-11-23T01:37:55.6467861Z 2022-11-23T01:37:55.6467967Z - 2022-11-23T01:37:55.6468090Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.6468239Z { 2022-11-23T01:37:55.6468383Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.6468591Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.6468714Z 'obj_weakref': None 2022-11-23T01:37:55.6468940Z 'guarded_class': 2022-11-23T01:37:55.6469004Z } 2022-11-23T01:37:55.6469068Z 2022-11-23T01:37:55.6469333Z [2022-11-23 01:36:43,451] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 457 2022-11-23T01:37:55.6469706Z [2022-11-23 01:36:44,807] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/l4/cl4yew4jqbhthr47fqyvvoqby7vmp3lt5futsdwubz2rgythg6rs.py 2022-11-23T01:37:55.6469973Z [2022-11-23 01:36:44,807] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 457 2022-11-23T01:37:55.6469982Z 2022-11-23T01:37:55.6470065Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.6470133Z import torch 2022-11-23T01:37:55.6470203Z import random 2022-11-23T01:37:55.6470318Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.6470441Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.6470447Z 2022-11-23T01:37:55.6470524Z aten = torch.ops.aten 2022-11-23T01:37:55.6470659Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.6470740Z async_compile = AsyncCompile() 2022-11-23T01:37:55.6470758Z 2022-11-23T01:37:55.6470762Z 2022-11-23T01:37:55.6470884Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.6471088Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.6471206Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.6471308Z const int* __restrict__ in_ptr1, 2022-11-23T01:37:55.6471410Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.6471469Z { 2022-11-23T01:37:55.6471546Z #pragma GCC ivdep 2022-11-23T01:37:55.6471615Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.6471679Z { 2022-11-23T01:37:55.6471743Z { 2022-11-23T01:37:55.6471805Z { 2022-11-23T01:37:55.6471896Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.6471983Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.6472087Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:37:55.6472162Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:37:55.6472243Z out_ptr0[i0] = tmp3; 2022-11-23T01:37:55.6472307Z } 2022-11-23T01:37:55.6472371Z } 2022-11-23T01:37:55.6472431Z } 2022-11-23T01:37:55.6472493Z } 2022-11-23T01:37:55.6472559Z ''') 2022-11-23T01:37:55.6472577Z 2022-11-23T01:37:55.6472581Z 2022-11-23T01:37:55.6472657Z async_compile.wait(globals()) 2022-11-23T01:37:55.6472730Z del async_compile 2022-11-23T01:37:55.6472735Z 2022-11-23T01:37:55.6472804Z def call(args): 2022-11-23T01:37:55.6472877Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.6472949Z args.clear() 2022-11-23T01:37:55.6473146Z buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6473350Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.6473408Z del arg0_1 2022-11-23T01:37:55.6473475Z del arg1_1 2022-11-23T01:37:55.6473546Z return (buf0, ) 2022-11-23T01:37:55.6473551Z 2022-11-23T01:37:55.6473555Z 2022-11-23T01:37:55.6473630Z if __name__ == "__main__": 2022-11-23T01:37:55.6473744Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.6473864Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.6474066Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6474290Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:37:55.6474393Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.6474398Z 2022-11-23T01:37:55.6474463Z ok (1.381s) 2022-11-23T01:37:55.6474819Z test_cpu_broadcast1_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 01:36:44,816] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.6475092Z [2022-11-23 01:36:44,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.6475316Z [2022-11-23 01:36:44,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.6475573Z [2022-11-23 01:36:44,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.6475864Z [2022-11-23 01:36:44,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.6476194Z [2022-11-23 01:36:44,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.6476529Z [2022-11-23 01:36:44,816] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.6476612Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.6476704Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.6476777Z 4 BINARY_ADD 2022-11-23T01:37:55.6476866Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.6476941Z 8 RETURN_VALUE 2022-11-23T01:37:55.6477002Z 2022-11-23T01:37:55.6477007Z 2022-11-23T01:37:55.6477274Z [2022-11-23 01:36:44,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.6477486Z [2022-11-23 01:36:44,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.6477715Z [2022-11-23 01:36:44,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.6477990Z [2022-11-23 01:36:44,817] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.6478239Z [2022-11-23 01:36:44,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.6478489Z [2022-11-23 01:36:44,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6478827Z [2022-11-23 01:36:44,818] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.6479076Z [2022-11-23 01:36:44,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6479313Z [2022-11-23 01:36:44,818] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.6479573Z [2022-11-23 01:36:44,819] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.6479825Z [2022-11-23 01:36:44,823] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.6480002Z [2022-11-23 01:36:44,823] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6480164Z __compiled_fn_466 .3615 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6480255Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.6480344Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.6480526Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.6480621Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.6480626Z 2022-11-23T01:37:55.6480904Z [2022-11-23 01:36:44,824] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6480996Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6481104Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6481196Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.6481285Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.6481359Z 8 RETURN_VALUE 2022-11-23T01:37:55.6481363Z 2022-11-23T01:37:55.6481423Z 2022-11-23T01:37:55.6481702Z [2022-11-23 01:36:44,824] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6481810Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_466) 2022-11-23T01:37:55.6481899Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6481975Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6482051Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6482138Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6482225Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.6482299Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.6482390Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.6482493Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6482581Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6482668Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6482744Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.6482832Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.6482904Z 26 RETURN_VALUE 2022-11-23T01:37:55.6482910Z 2022-11-23T01:37:55.6482971Z 2022-11-23T01:37:55.6483155Z [2022-11-23 01:36:44,825] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6483214Z - 2022-11-23T01:37:55.6483333Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.6483396Z { 2022-11-23T01:37:55.6483537Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6483727Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.6483852Z 'obj_weakref': None 2022-11-23T01:37:55.6484077Z 'guarded_class': 2022-11-23T01:37:55.6484129Z } 2022-11-23T01:37:55.6484192Z 2022-11-23T01:37:55.6484263Z - 2022-11-23T01:37:55.6484389Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.6484456Z { 2022-11-23T01:37:55.6484604Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6484713Z 'code': None, 2022-11-23T01:37:55.6484915Z 'obj_weakref': 2022-11-23T01:37:55.6485172Z 'guarded_class': 2022-11-23T01:37:55.6485236Z } 2022-11-23T01:37:55.6485299Z 2022-11-23T01:37:55.6485369Z - 2022-11-23T01:37:55.6485494Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.6485556Z { 2022-11-23T01:37:55.6485691Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6485799Z 'code': None, 2022-11-23T01:37:55.6486015Z 'obj_weakref': 2022-11-23T01:37:55.6486299Z 'guarded_class': 2022-11-23T01:37:55.6486364Z } 2022-11-23T01:37:55.6486427Z 2022-11-23T01:37:55.6486499Z - 2022-11-23T01:37:55.6486621Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.6486683Z { 2022-11-23T01:37:55.6486820Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6486993Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.6487116Z 'obj_weakref': None 2022-11-23T01:37:55.6487353Z 'guarded_class': 2022-11-23T01:37:55.6487445Z } 2022-11-23T01:37:55.6487494Z 2022-11-23T01:37:55.6487566Z - 2022-11-23T01:37:55.6487688Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.6487750Z { 2022-11-23T01:37:55.6487887Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.6488109Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.6488232Z 'obj_weakref': None 2022-11-23T01:37:55.6488440Z 'guarded_class': 2022-11-23T01:37:55.6488503Z } 2022-11-23T01:37:55.6488565Z 2022-11-23T01:37:55.6488829Z [2022-11-23 01:36:44,831] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 458 2022-11-23T01:37:55.6489207Z [2022-11-23 01:36:46,210] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/dc/cdcoh333pmpaupunqkdhwqjn7prpa2s22cldtitsvqgnqtf5xkc2.py 2022-11-23T01:37:55.6489477Z [2022-11-23 01:36:46,211] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 458 2022-11-23T01:37:55.6489482Z 2022-11-23T01:37:55.6489575Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.6489642Z import torch 2022-11-23T01:37:55.6489697Z import random 2022-11-23T01:37:55.6489813Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.6489935Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.6489940Z 2022-11-23T01:37:55.6490015Z aten = torch.ops.aten 2022-11-23T01:37:55.6490150Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.6490240Z async_compile = AsyncCompile() 2022-11-23T01:37:55.6490245Z 2022-11-23T01:37:55.6490250Z 2022-11-23T01:37:55.6490389Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.6490594Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.6490701Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.6490810Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.6490909Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.6490970Z { 2022-11-23T01:37:55.6491046Z #pragma GCC ivdep 2022-11-23T01:37:55.6491127Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.6491188Z { 2022-11-23T01:37:55.6491254Z #pragma GCC ivdep 2022-11-23T01:37:55.6491335Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:37:55.6491397Z { 2022-11-23T01:37:55.6491458Z { 2022-11-23T01:37:55.6491522Z { 2022-11-23T01:37:55.6491614Z auto tmp0 = in_ptr0[i1]; 2022-11-23T01:37:55.6491715Z auto tmp1 = in_ptr1[(2*i1) + (30*i0)]; 2022-11-23T01:37:55.6491793Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6491884Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:37:55.6491947Z } 2022-11-23T01:37:55.6492010Z } 2022-11-23T01:37:55.6492074Z } 2022-11-23T01:37:55.6492133Z } 2022-11-23T01:37:55.6492191Z } 2022-11-23T01:37:55.6492257Z ''') 2022-11-23T01:37:55.6492263Z 2022-11-23T01:37:55.6492267Z 2022-11-23T01:37:55.6492355Z async_compile.wait(globals()) 2022-11-23T01:37:55.6492426Z del async_compile 2022-11-23T01:37:55.6492431Z 2022-11-23T01:37:55.6492500Z def call(args): 2022-11-23T01:37:55.6492605Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.6492678Z args.clear() 2022-11-23T01:37:55.6492883Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6493035Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.6493103Z del arg0_1 2022-11-23T01:37:55.6493169Z del arg1_1 2022-11-23T01:37:55.6493238Z return (buf0, ) 2022-11-23T01:37:55.6493243Z 2022-11-23T01:37:55.6493246Z 2022-11-23T01:37:55.6493322Z if __name__ == "__main__": 2022-11-23T01:37:55.6493434Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.6493587Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.6493787Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6493977Z arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6494097Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.6494102Z 2022-11-23T01:37:55.6494170Z ok (1.403s) 2022-11-23T01:37:55.6494526Z test_cpu_broadcast1_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 01:36:46,219] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.6494799Z [2022-11-23 01:36:46,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.6495023Z [2022-11-23 01:36:46,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.6495280Z [2022-11-23 01:36:46,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.6495575Z [2022-11-23 01:36:46,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.6495903Z [2022-11-23 01:36:46,219] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.6496226Z [2022-11-23 01:36:46,220] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.6496319Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.6496411Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.6496487Z 4 BINARY_ADD 2022-11-23T01:37:55.6496575Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.6496649Z 8 RETURN_VALUE 2022-11-23T01:37:55.6496710Z 2022-11-23T01:37:55.6496715Z 2022-11-23T01:37:55.6496986Z [2022-11-23 01:36:46,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.6497187Z [2022-11-23 01:36:46,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.6497430Z [2022-11-23 01:36:46,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.6497709Z [2022-11-23 01:36:46,220] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.6497953Z [2022-11-23 01:36:46,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.6498205Z [2022-11-23 01:36:46,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6498545Z [2022-11-23 01:36:46,221] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.6499043Z [2022-11-23 01:36:46,221] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6499317Z [2022-11-23 01:36:46,221] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.6499574Z [2022-11-23 01:36:46,223] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.6499877Z [2022-11-23 01:36:46,226] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.6500076Z [2022-11-23 01:36:46,227] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6500211Z __compiled_fn_467 .3621 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6500303Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.6500391Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.6500574Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.6500669Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.6500720Z 2022-11-23T01:37:55.6501005Z [2022-11-23 01:36:46,227] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6501087Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6501179Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6501275Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.6501368Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.6501447Z 8 RETURN_VALUE 2022-11-23T01:37:55.6501452Z 2022-11-23T01:37:55.6501514Z 2022-11-23T01:37:55.6501792Z [2022-11-23 01:36:46,227] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6501904Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_467) 2022-11-23T01:37:55.6501980Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6502070Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6502153Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6502247Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6502335Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.6502410Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.6502501Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.6502593Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6502696Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6502785Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6502864Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.6502953Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.6503028Z 26 RETURN_VALUE 2022-11-23T01:37:55.6503033Z 2022-11-23T01:37:55.6503096Z 2022-11-23T01:37:55.6503273Z [2022-11-23 01:36:46,228] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6503346Z - 2022-11-23T01:37:55.6503469Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.6503538Z { 2022-11-23T01:37:55.6503681Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6503874Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.6504001Z 'obj_weakref': None 2022-11-23T01:37:55.6504231Z 'guarded_class': 2022-11-23T01:37:55.6504285Z } 2022-11-23T01:37:55.6504349Z 2022-11-23T01:37:55.6504422Z - 2022-11-23T01:37:55.6504552Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.6504616Z { 2022-11-23T01:37:55.6504762Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6504860Z 'code': None, 2022-11-23T01:37:55.6505077Z 'obj_weakref': 2022-11-23T01:37:55.6505337Z 'guarded_class': 2022-11-23T01:37:55.6505407Z } 2022-11-23T01:37:55.6505471Z 2022-11-23T01:37:55.6505543Z - 2022-11-23T01:37:55.6505671Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.6505721Z { 2022-11-23T01:37:55.6505869Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6506007Z 'code': None, 2022-11-23T01:37:55.6506227Z 'obj_weakref': 2022-11-23T01:37:55.6506486Z 'guarded_class': 2022-11-23T01:37:55.6506551Z } 2022-11-23T01:37:55.6506615Z 2022-11-23T01:37:55.6506674Z - 2022-11-23T01:37:55.6506808Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.6506873Z { 2022-11-23T01:37:55.6507009Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6507183Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.6507339Z 'obj_weakref': None 2022-11-23T01:37:55.6507576Z 'guarded_class': 2022-11-23T01:37:55.6507640Z } 2022-11-23T01:37:55.6507690Z 2022-11-23T01:37:55.6507761Z - 2022-11-23T01:37:55.6507887Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.6507950Z { 2022-11-23T01:37:55.6508089Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.6508399Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.6508505Z 'obj_weakref': None 2022-11-23T01:37:55.6508728Z 'guarded_class': 2022-11-23T01:37:55.6508792Z } 2022-11-23T01:37:55.6508854Z 2022-11-23T01:37:55.6509119Z [2022-11-23 01:36:46,234] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 459 2022-11-23T01:37:55.6509491Z [2022-11-23 01:36:47,629] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/zc/czcus4n2g64eldjmedcb6yyua6ctem3w65w544eof43zsgue6wkp.py 2022-11-23T01:37:55.6509763Z [2022-11-23 01:36:47,630] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 459 2022-11-23T01:37:55.6509769Z 2022-11-23T01:37:55.6509864Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.6509934Z import torch 2022-11-23T01:37:55.6509990Z import random 2022-11-23T01:37:55.6510105Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.6510226Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.6510231Z 2022-11-23T01:37:55.6510310Z aten = torch.ops.aten 2022-11-23T01:37:55.6510444Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.6510536Z async_compile = AsyncCompile() 2022-11-23T01:37:55.6510541Z 2022-11-23T01:37:55.6510548Z 2022-11-23T01:37:55.6510685Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.6510892Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.6510999Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.6511104Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.6511207Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.6511268Z { 2022-11-23T01:37:55.6511343Z #pragma GCC ivdep 2022-11-23T01:37:55.6511425Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.6511486Z { 2022-11-23T01:37:55.6511555Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:37:55.6511616Z { 2022-11-23T01:37:55.6511751Z auto tmp0 = at::vec::Vectorized(in_ptr0[i0]); 2022-11-23T01:37:55.6511893Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + (8*i1) + (10*i0)); 2022-11-23T01:37:55.6511979Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6512082Z tmp2.store(out_ptr0 + (8*i1) + (10*i0)); 2022-11-23T01:37:55.6512144Z } 2022-11-23T01:37:55.6512220Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.6512299Z for(long i1=8; i1<10; i1+=1) 2022-11-23T01:37:55.6512358Z { 2022-11-23T01:37:55.6512440Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.6512570Z auto tmp1 = in_ptr1[i1 + (10*i0)]; 2022-11-23T01:37:55.6512654Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6512744Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:37:55.6512793Z } 2022-11-23T01:37:55.6512852Z } 2022-11-23T01:37:55.6512912Z } 2022-11-23T01:37:55.6512994Z ''') 2022-11-23T01:37:55.6512999Z 2022-11-23T01:37:55.6513004Z 2022-11-23T01:37:55.6513092Z async_compile.wait(globals()) 2022-11-23T01:37:55.6513164Z del async_compile 2022-11-23T01:37:55.6513169Z 2022-11-23T01:37:55.6513239Z def call(args): 2022-11-23T01:37:55.6513301Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.6513371Z args.clear() 2022-11-23T01:37:55.6513609Z buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6513774Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.6513843Z del arg0_1 2022-11-23T01:37:55.6513908Z del arg1_1 2022-11-23T01:37:55.6513978Z return (buf0, ) 2022-11-23T01:37:55.6513985Z 2022-11-23T01:37:55.6513989Z 2022-11-23T01:37:55.6514052Z if __name__ == "__main__": 2022-11-23T01:37:55.6514164Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.6514286Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.6514485Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6514688Z arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6514802Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.6514808Z 2022-11-23T01:37:55.6514879Z ok (1.419s) 2022-11-23T01:37:55.6515236Z test_cpu_broadcast2_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:36:47,637] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.6515511Z [2022-11-23 01:36:47,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.6515720Z [2022-11-23 01:36:47,637] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.6515978Z [2022-11-23 01:36:47,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.6516267Z [2022-11-23 01:36:47,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.6516594Z [2022-11-23 01:36:47,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.6516930Z [2022-11-23 01:36:47,638] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.6517025Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.6517114Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.6517188Z 4 BINARY_ADD 2022-11-23T01:37:55.6517265Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.6517340Z 8 RETURN_VALUE 2022-11-23T01:37:55.6517402Z 2022-11-23T01:37:55.6517407Z 2022-11-23T01:37:55.6517680Z [2022-11-23 01:36:47,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.6517891Z [2022-11-23 01:36:47,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.6518134Z [2022-11-23 01:36:47,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.6518408Z [2022-11-23 01:36:47,638] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.6518658Z [2022-11-23 01:36:47,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.6518910Z [2022-11-23 01:36:47,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6519266Z [2022-11-23 01:36:47,640] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.6519515Z [2022-11-23 01:36:47,640] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6519749Z [2022-11-23 01:36:47,640] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.6520006Z [2022-11-23 01:36:47,642] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.6520259Z [2022-11-23 01:36:47,644] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.6520485Z [2022-11-23 01:36:47,645] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6520620Z __compiled_fn_468 .3627 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6520709Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.6520782Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.6520966Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.6521062Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.6521068Z 2022-11-23T01:37:55.6521346Z [2022-11-23 01:36:47,645] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6521439Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6521527Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6521619Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.6521711Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.6521776Z 8 RETURN_VALUE 2022-11-23T01:37:55.6521796Z 2022-11-23T01:37:55.6521843Z 2022-11-23T01:37:55.6522118Z [2022-11-23 01:36:47,645] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6522226Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_468) 2022-11-23T01:37:55.6522319Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6522408Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6522485Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6522572Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6522647Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.6522721Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.6522808Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.6522913Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6523015Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6523105Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6523180Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.6523255Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.6523329Z 26 RETURN_VALUE 2022-11-23T01:37:55.6523334Z 2022-11-23T01:37:55.6523396Z 2022-11-23T01:37:55.6523583Z [2022-11-23 01:36:47,646] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6523655Z - 2022-11-23T01:37:55.6523777Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.6523841Z { 2022-11-23T01:37:55.6523970Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6524158Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.6524279Z 'obj_weakref': None 2022-11-23T01:37:55.6524507Z 'guarded_class': 2022-11-23T01:37:55.6524573Z } 2022-11-23T01:37:55.6524638Z 2022-11-23T01:37:55.6524709Z - 2022-11-23T01:37:55.6524822Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.6524888Z { 2022-11-23T01:37:55.6525034Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6525144Z 'code': None, 2022-11-23T01:37:55.6525403Z 'obj_weakref': 2022-11-23T01:37:55.6525662Z 'guarded_class': 2022-11-23T01:37:55.6525726Z } 2022-11-23T01:37:55.6525776Z 2022-11-23T01:37:55.6525845Z - 2022-11-23T01:37:55.6525975Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.6526037Z { 2022-11-23T01:37:55.6526182Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6526292Z 'code': None, 2022-11-23T01:37:55.6526507Z 'obj_weakref': 2022-11-23T01:37:55.6526784Z 'guarded_class': 2022-11-23T01:37:55.6526849Z } 2022-11-23T01:37:55.6526914Z 2022-11-23T01:37:55.6526985Z - 2022-11-23T01:37:55.6527116Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.6527181Z { 2022-11-23T01:37:55.6527317Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6527477Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.6527596Z 'obj_weakref': None 2022-11-23T01:37:55.6527828Z 'guarded_class': 2022-11-23T01:37:55.6527891Z } 2022-11-23T01:37:55.6527952Z 2022-11-23T01:37:55.6528023Z - 2022-11-23T01:37:55.6528146Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.6528196Z { 2022-11-23T01:37:55.6528340Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.6528560Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.6528680Z 'obj_weakref': None 2022-11-23T01:37:55.6528904Z 'guarded_class': 2022-11-23T01:37:55.6528971Z } 2022-11-23T01:37:55.6529033Z 2022-11-23T01:37:55.6529285Z [2022-11-23 01:36:47,652] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 460 2022-11-23T01:37:55.6529668Z [2022-11-23 01:36:49,021] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rs/crstrt6nygxwgruugbjkqyg6fixrceemwuf4vm74nbjpysghnhto.py 2022-11-23T01:37:55.6529937Z [2022-11-23 01:36:49,021] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 460 2022-11-23T01:37:55.6529943Z 2022-11-23T01:37:55.6530036Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.6530107Z import torch 2022-11-23T01:37:55.6530175Z import random 2022-11-23T01:37:55.6530290Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.6530410Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.6530415Z 2022-11-23T01:37:55.6530492Z aten = torch.ops.aten 2022-11-23T01:37:55.6530616Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.6530708Z async_compile = AsyncCompile() 2022-11-23T01:37:55.6530713Z 2022-11-23T01:37:55.6530718Z 2022-11-23T01:37:55.6530854Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.6531060Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.6531179Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.6531283Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.6531385Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.6531439Z { 2022-11-23T01:37:55.6531516Z #pragma GCC ivdep 2022-11-23T01:37:55.6531596Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.6531656Z { 2022-11-23T01:37:55.6531738Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:37:55.6531800Z { 2022-11-23T01:37:55.6531926Z auto tmp0 = at::vec::Vectorized(in_ptr0[i0]); 2022-11-23T01:37:55.6532079Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i1); 2022-11-23T01:37:55.6532168Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6532267Z tmp2.store(out_ptr0 + (8*i1) + (10*i0)); 2022-11-23T01:37:55.6532330Z } 2022-11-23T01:37:55.6532419Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.6532499Z for(long i1=8; i1<10; i1+=1) 2022-11-23T01:37:55.6532558Z { 2022-11-23T01:37:55.6532628Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.6532707Z auto tmp1 = in_ptr1[i1]; 2022-11-23T01:37:55.6532786Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6532903Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:37:55.6532965Z } 2022-11-23T01:37:55.6533026Z } 2022-11-23T01:37:55.6533084Z } 2022-11-23T01:37:55.6533152Z ''') 2022-11-23T01:37:55.6533157Z 2022-11-23T01:37:55.6533162Z 2022-11-23T01:37:55.6533250Z async_compile.wait(globals()) 2022-11-23T01:37:55.6533322Z del async_compile 2022-11-23T01:37:55.6533330Z 2022-11-23T01:37:55.6533401Z def call(args): 2022-11-23T01:37:55.6533476Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.6533547Z args.clear() 2022-11-23T01:37:55.6533759Z buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6533923Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.6533979Z del arg0_1 2022-11-23T01:37:55.6534046Z del arg1_1 2022-11-23T01:37:55.6534117Z return (buf0, ) 2022-11-23T01:37:55.6534122Z 2022-11-23T01:37:55.6534126Z 2022-11-23T01:37:55.6534201Z if __name__ == "__main__": 2022-11-23T01:37:55.6534315Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.6534437Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.6534645Z arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6534832Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6534947Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.6534951Z 2022-11-23T01:37:55.6535017Z ok (1.391s) 2022-11-23T01:37:55.6535373Z test_cpu_broadcast2_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:36:49,029] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.6535648Z [2022-11-23 01:36:49,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.6535872Z [2022-11-23 01:36:49,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.6536133Z [2022-11-23 01:36:49,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.6536421Z [2022-11-23 01:36:49,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.6536749Z [2022-11-23 01:36:49,029] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.6537087Z [2022-11-23 01:36:49,029] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.6537169Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.6537259Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.6537332Z 4 BINARY_ADD 2022-11-23T01:37:55.6537421Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.6537497Z 8 RETURN_VALUE 2022-11-23T01:37:55.6537561Z 2022-11-23T01:37:55.6537566Z 2022-11-23T01:37:55.6537833Z [2022-11-23 01:36:49,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.6538047Z [2022-11-23 01:36:49,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.6538339Z [2022-11-23 01:36:49,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.6538621Z [2022-11-23 01:36:49,030] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.6539086Z [2022-11-23 01:36:49,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.6539364Z [2022-11-23 01:36:49,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6539708Z [2022-11-23 01:36:49,031] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.6540023Z [2022-11-23 01:36:49,031] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6540266Z [2022-11-23 01:36:49,031] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.6540528Z [2022-11-23 01:36:49,033] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.6540785Z [2022-11-23 01:36:49,036] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.6540966Z [2022-11-23 01:36:49,036] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6541105Z __compiled_fn_469 .3633 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6541196Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.6541285Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.6541469Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.6541570Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.6541575Z 2022-11-23T01:37:55.6541859Z [2022-11-23 01:36:49,036] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6541957Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6542038Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6542133Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.6542224Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.6542300Z 8 RETURN_VALUE 2022-11-23T01:37:55.6542305Z 2022-11-23T01:37:55.6542368Z 2022-11-23T01:37:55.6542654Z [2022-11-23 01:36:49,037] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6542764Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_469) 2022-11-23T01:37:55.6542842Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6542940Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6543017Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6543106Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6543195Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.6543270Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.6543363Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.6543470Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6543558Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6543646Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6543724Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.6543813Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.6543890Z 26 RETURN_VALUE 2022-11-23T01:37:55.6543895Z 2022-11-23T01:37:55.6543959Z 2022-11-23T01:37:55.6544147Z [2022-11-23 01:36:49,037] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6544208Z - 2022-11-23T01:37:55.6544332Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.6544398Z { 2022-11-23T01:37:55.6544542Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6544732Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.6544855Z 'obj_weakref': None 2022-11-23T01:37:55.6545125Z 'guarded_class': 2022-11-23T01:37:55.6545181Z } 2022-11-23T01:37:55.6545246Z 2022-11-23T01:37:55.6545322Z - 2022-11-23T01:37:55.6545452Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.6545517Z { 2022-11-23T01:37:55.6545663Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6545774Z 'code': None, 2022-11-23T01:37:55.6545976Z 'obj_weakref': 2022-11-23T01:37:55.6546230Z 'guarded_class': 2022-11-23T01:37:55.6546342Z } 2022-11-23T01:37:55.6546406Z 2022-11-23T01:37:55.6546480Z - 2022-11-23T01:37:55.6546608Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.6546672Z { 2022-11-23T01:37:55.6546809Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6546921Z 'code': None, 2022-11-23T01:37:55.6547134Z 'obj_weakref': 2022-11-23T01:37:55.6547390Z 'guarded_class': 2022-11-23T01:37:55.6547453Z } 2022-11-23T01:37:55.6547515Z 2022-11-23T01:37:55.6547585Z - 2022-11-23T01:37:55.6547704Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.6547768Z { 2022-11-23T01:37:55.6547905Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6548080Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.6548300Z 'obj_weakref': None 2022-11-23T01:37:55.6548536Z 'guarded_class': 2022-11-23T01:37:55.6548600Z } 2022-11-23T01:37:55.6548649Z 2022-11-23T01:37:55.6548724Z - 2022-11-23T01:37:55.6548849Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.6548913Z { 2022-11-23T01:37:55.6549051Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.6549271Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.6549391Z 'obj_weakref': None 2022-11-23T01:37:55.6549601Z 'guarded_class': 2022-11-23T01:37:55.6549664Z } 2022-11-23T01:37:55.6549728Z 2022-11-23T01:37:55.6549997Z [2022-11-23 01:36:49,043] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 461 2022-11-23T01:37:55.6550376Z [2022-11-23 01:36:49,052] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4y/c4yl4ovmdqwxqplwdtuzwu7l7zbrh67fgymqgte3yg3plizj2jc7.py 2022-11-23T01:37:55.6550648Z [2022-11-23 01:36:49,053] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 461 2022-11-23T01:37:55.6550654Z 2022-11-23T01:37:55.6550749Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.6550818Z import torch 2022-11-23T01:37:55.6550875Z import random 2022-11-23T01:37:55.6550991Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.6551112Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.6551117Z 2022-11-23T01:37:55.6551195Z aten = torch.ops.aten 2022-11-23T01:37:55.6551328Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.6551420Z async_compile = AsyncCompile() 2022-11-23T01:37:55.6551428Z 2022-11-23T01:37:55.6551432Z 2022-11-23T01:37:55.6551569Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.6551775Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.6551883Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.6552023Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.6552126Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.6552188Z { 2022-11-23T01:37:55.6552268Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:37:55.6552328Z { 2022-11-23T01:37:55.6552467Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.6552584Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.6552669Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6552755Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.6552815Z } 2022-11-23T01:37:55.6552935Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.6553014Z for(long i0=8; i0<10; i0+=1) 2022-11-23T01:37:55.6553074Z { 2022-11-23T01:37:55.6553141Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.6553221Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.6553302Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6553379Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.6553440Z } 2022-11-23T01:37:55.6553499Z } 2022-11-23T01:37:55.6553579Z ''') 2022-11-23T01:37:55.6553584Z 2022-11-23T01:37:55.6553588Z 2022-11-23T01:37:55.6553664Z async_compile.wait(globals()) 2022-11-23T01:37:55.6553736Z del async_compile 2022-11-23T01:37:55.6553741Z 2022-11-23T01:37:55.6553812Z def call(args): 2022-11-23T01:37:55.6553888Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.6553958Z args.clear() 2022-11-23T01:37:55.6554166Z buf0 = empty_strided((1, 10, 1), (10, 1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6554329Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.6554386Z del arg0_1 2022-11-23T01:37:55.6554452Z del arg1_1 2022-11-23T01:37:55.6554521Z return (buf0, ) 2022-11-23T01:37:55.6554526Z 2022-11-23T01:37:55.6554530Z 2022-11-23T01:37:55.6554606Z if __name__ == "__main__": 2022-11-23T01:37:55.6554722Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.6554846Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.6555057Z arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6555263Z arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6555366Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.6555382Z 2022-11-23T01:37:55.6555436Z ok (0.030s) 2022-11-23T01:37:55.6555794Z test_cpu_broadcast2_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:36:49,057] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.6556069Z [2022-11-23 01:36:49,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.6556292Z [2022-11-23 01:36:49,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.6556551Z [2022-11-23 01:36:49,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.6556842Z [2022-11-23 01:36:49,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.6557168Z [2022-11-23 01:36:49,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.6557505Z [2022-11-23 01:36:49,057] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.6557597Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.6557678Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.6557750Z 4 BINARY_ADD 2022-11-23T01:37:55.6557839Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.6557914Z 8 RETURN_VALUE 2022-11-23T01:37:55.6557974Z 2022-11-23T01:37:55.6557979Z 2022-11-23T01:37:55.6558281Z [2022-11-23 01:36:49,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.6558497Z [2022-11-23 01:36:49,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.6558726Z [2022-11-23 01:36:49,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.6559000Z [2022-11-23 01:36:49,057] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.6559242Z [2022-11-23 01:36:49,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.6559524Z [2022-11-23 01:36:49,058] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6559861Z [2022-11-23 01:36:49,058] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.6560112Z [2022-11-23 01:36:49,059] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6560349Z [2022-11-23 01:36:49,059] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.6560606Z [2022-11-23 01:36:49,062] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.6560861Z [2022-11-23 01:36:49,065] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.6561051Z [2022-11-23 01:36:49,065] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6561177Z __compiled_fn_470 .3639 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6561268Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.6561355Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.6561537Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.6561631Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.6561636Z 2022-11-23T01:37:55.6561918Z [2022-11-23 01:36:49,065] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6562011Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6562101Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6562181Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.6562270Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.6562345Z 8 RETURN_VALUE 2022-11-23T01:37:55.6562350Z 2022-11-23T01:37:55.6562409Z 2022-11-23T01:37:55.6562683Z [2022-11-23 01:36:49,065] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6562794Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_470) 2022-11-23T01:37:55.6562882Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6562960Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6563039Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6563126Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6563214Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.6563289Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.6563378Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.6563480Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6563570Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6563657Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6563732Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.6563822Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.6563896Z 26 RETURN_VALUE 2022-11-23T01:37:55.6563902Z 2022-11-23T01:37:55.6563962Z 2022-11-23T01:37:55.6564147Z [2022-11-23 01:36:49,066] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6564219Z - 2022-11-23T01:37:55.6564329Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.6564427Z { 2022-11-23T01:37:55.6564577Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6564768Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.6564892Z 'obj_weakref': None 2022-11-23T01:37:55.6565120Z 'guarded_class': 2022-11-23T01:37:55.6565187Z } 2022-11-23T01:37:55.6565239Z 2022-11-23T01:37:55.6565310Z - 2022-11-23T01:37:55.6565438Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.6565501Z { 2022-11-23T01:37:55.6565678Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6565788Z 'code': None, 2022-11-23T01:37:55.6565994Z 'obj_weakref': 2022-11-23T01:37:55.6566252Z 'guarded_class': 2022-11-23T01:37:55.6566318Z } 2022-11-23T01:37:55.6566381Z 2022-11-23T01:37:55.6566453Z - 2022-11-23T01:37:55.6566579Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.6566643Z { 2022-11-23T01:37:55.6566778Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6566887Z 'code': None, 2022-11-23T01:37:55.6567104Z 'obj_weakref': 2022-11-23T01:37:55.6567365Z 'guarded_class': 2022-11-23T01:37:55.6567432Z } 2022-11-23T01:37:55.6567493Z 2022-11-23T01:37:55.6567565Z - 2022-11-23T01:37:55.6567697Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.6567748Z { 2022-11-23T01:37:55.6567883Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6568059Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.6568180Z 'obj_weakref': None 2022-11-23T01:37:55.6568411Z 'guarded_class': 2022-11-23T01:37:55.6568473Z } 2022-11-23T01:37:55.6568534Z 2022-11-23T01:37:55.6568593Z - 2022-11-23T01:37:55.6568714Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.6568779Z { 2022-11-23T01:37:55.6568916Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.6569136Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.6569261Z 'obj_weakref': None 2022-11-23T01:37:55.6569485Z 'guarded_class': 2022-11-23T01:37:55.6569537Z } 2022-11-23T01:37:55.6569601Z 2022-11-23T01:37:55.6569870Z [2022-11-23 01:36:49,070] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 462 2022-11-23T01:37:55.6570243Z [2022-11-23 01:36:49,078] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/6q/c6qcjc3sytiypnn2k4pvtispdqb2cgimgi7ibl52pyuxoaioehpy.py 2022-11-23T01:37:55.6570514Z [2022-11-23 01:36:49,078] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 462 2022-11-23T01:37:55.6570520Z 2022-11-23T01:37:55.6570613Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.6570679Z import torch 2022-11-23T01:37:55.6570748Z import random 2022-11-23T01:37:55.6570851Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.6570975Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.6570980Z 2022-11-23T01:37:55.6571059Z aten = torch.ops.aten 2022-11-23T01:37:55.6571193Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.6571284Z async_compile = AsyncCompile() 2022-11-23T01:37:55.6571289Z 2022-11-23T01:37:55.6571293Z 2022-11-23T01:37:55.6571459Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.6571666Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.6571785Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.6571877Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.6571977Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.6572037Z { 2022-11-23T01:37:55.6572119Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:37:55.6572180Z { 2022-11-23T01:37:55.6572317Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.6572476Z auto tmp1 = at::vec::Vectorized(in_ptr1[0]); 2022-11-23T01:37:55.6572549Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6572636Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.6572696Z } 2022-11-23T01:37:55.6572784Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.6572862Z for(long i0=8; i0<10; i0+=1) 2022-11-23T01:37:55.6572923Z { 2022-11-23T01:37:55.6573004Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.6573071Z auto tmp1 = in_ptr1[0]; 2022-11-23T01:37:55.6573151Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6573228Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.6573289Z } 2022-11-23T01:37:55.6573347Z } 2022-11-23T01:37:55.6573429Z ''') 2022-11-23T01:37:55.6573434Z 2022-11-23T01:37:55.6573438Z 2022-11-23T01:37:55.6573526Z async_compile.wait(globals()) 2022-11-23T01:37:55.6573586Z del async_compile 2022-11-23T01:37:55.6573591Z 2022-11-23T01:37:55.6573660Z def call(args): 2022-11-23T01:37:55.6573738Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.6573808Z args.clear() 2022-11-23T01:37:55.6574019Z buf0 = empty_strided((1, 10, 1), (10, 1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6574183Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.6574252Z del arg0_1 2022-11-23T01:37:55.6574309Z del arg1_1 2022-11-23T01:37:55.6574379Z return (buf0, ) 2022-11-23T01:37:55.6574384Z 2022-11-23T01:37:55.6574388Z 2022-11-23T01:37:55.6574463Z if __name__ == "__main__": 2022-11-23T01:37:55.6574576Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.6574700Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.6574910Z arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6575105Z arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6575224Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.6575231Z 2022-11-23T01:37:55.6575284Z ok (0.026s) 2022-11-23T01:37:55.6575632Z test_cpu_broadcast2_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 01:36:49,082] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.6575908Z [2022-11-23 01:36:49,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.6576130Z [2022-11-23 01:36:49,082] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.6576388Z [2022-11-23 01:36:49,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.6576679Z [2022-11-23 01:36:49,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.6577001Z [2022-11-23 01:36:49,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.6577340Z [2022-11-23 01:36:49,083] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.6577433Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.6577512Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.6577617Z 4 BINARY_ADD 2022-11-23T01:37:55.6577708Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.6577784Z 8 RETURN_VALUE 2022-11-23T01:37:55.6577845Z 2022-11-23T01:37:55.6577850Z 2022-11-23T01:37:55.6578121Z [2022-11-23 01:36:49,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.6578336Z [2022-11-23 01:36:49,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.6578578Z [2022-11-23 01:36:49,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.6579091Z [2022-11-23 01:36:49,083] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.6579345Z [2022-11-23 01:36:49,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.6579598Z [2022-11-23 01:36:49,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6579943Z [2022-11-23 01:36:49,084] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.6580193Z [2022-11-23 01:36:49,084] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6580433Z [2022-11-23 01:36:49,084] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.6580692Z [2022-11-23 01:36:49,085] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.6580956Z [2022-11-23 01:36:49,088] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.6581153Z [2022-11-23 01:36:49,088] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6581287Z __compiled_fn_471 .3645 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6581368Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.6581456Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.6581637Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.6581734Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.6581739Z 2022-11-23T01:37:55.6582022Z [2022-11-23 01:36:49,088] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6582118Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6582210Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6582290Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.6582385Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.6582461Z 8 RETURN_VALUE 2022-11-23T01:37:55.6582467Z 2022-11-23T01:37:55.6582528Z 2022-11-23T01:37:55.6582805Z [2022-11-23 01:36:49,088] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6582917Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_471) 2022-11-23T01:37:55.6583010Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6583102Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6583167Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6583258Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6583347Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.6583426Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.6583517Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.6583621Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6583727Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6583802Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6583879Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.6583968Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.6584047Z 26 RETURN_VALUE 2022-11-23T01:37:55.6584112Z 2022-11-23T01:37:55.6584177Z 2022-11-23T01:37:55.6584364Z [2022-11-23 01:36:49,089] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6584439Z - 2022-11-23T01:37:55.6584547Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.6584613Z { 2022-11-23T01:37:55.6584758Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6584947Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.6585072Z 'obj_weakref': None 2022-11-23T01:37:55.6585300Z 'guarded_class': 2022-11-23T01:37:55.6585405Z } 2022-11-23T01:37:55.6585454Z 2022-11-23T01:37:55.6585527Z - 2022-11-23T01:37:55.6585655Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.6585723Z { 2022-11-23T01:37:55.6585866Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6585977Z 'code': None, 2022-11-23T01:37:55.6586196Z 'obj_weakref': 2022-11-23T01:37:55.6586438Z 'guarded_class': 2022-11-23T01:37:55.6586502Z } 2022-11-23T01:37:55.6586563Z 2022-11-23T01:37:55.6586633Z - 2022-11-23T01:37:55.6586758Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.6586821Z { 2022-11-23T01:37:55.6586968Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6587064Z 'code': None, 2022-11-23T01:37:55.6587281Z 'obj_weakref': 2022-11-23T01:37:55.6587537Z 'guarded_class': 2022-11-23T01:37:55.6587603Z } 2022-11-23T01:37:55.6587666Z 2022-11-23T01:37:55.6587738Z - 2022-11-23T01:37:55.6587873Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.6587924Z { 2022-11-23T01:37:55.6588066Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6588316Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.6588438Z 'obj_weakref': None 2022-11-23T01:37:55.6588672Z 'guarded_class': 2022-11-23T01:37:55.6588737Z } 2022-11-23T01:37:55.6588800Z 2022-11-23T01:37:55.6588859Z - 2022-11-23T01:37:55.6588982Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.6589051Z { 2022-11-23T01:37:55.6589190Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.6589409Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.6589531Z 'obj_weakref': None 2022-11-23T01:37:55.6589761Z 'guarded_class': 2022-11-23T01:37:55.6589813Z } 2022-11-23T01:37:55.6589875Z 2022-11-23T01:37:55.6590137Z [2022-11-23 01:36:49,093] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 463 2022-11-23T01:37:55.6590513Z [2022-11-23 01:36:49,103] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4s/c4sovlpvleesweddxayaimcl333stc2k3qy7taz7t3zlrccziceq.py 2022-11-23T01:37:55.6590778Z [2022-11-23 01:36:49,103] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 463 2022-11-23T01:37:55.6590787Z 2022-11-23T01:37:55.6590880Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.6590951Z import torch 2022-11-23T01:37:55.6591022Z import random 2022-11-23T01:37:55.6591124Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.6591245Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.6591251Z 2022-11-23T01:37:55.6591367Z aten = torch.ops.aten 2022-11-23T01:37:55.6591502Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.6591594Z async_compile = AsyncCompile() 2022-11-23T01:37:55.6591599Z 2022-11-23T01:37:55.6591604Z 2022-11-23T01:37:55.6591740Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.6591946Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.6592069Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.6592161Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.6592260Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.6592370Z { 2022-11-23T01:37:55.6592448Z #pragma GCC ivdep 2022-11-23T01:37:55.6592530Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.6592591Z { 2022-11-23T01:37:55.6592672Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:37:55.6592723Z { 2022-11-23T01:37:55.6592858Z auto tmp0 = at::vec::Vectorized(in_ptr0[i0]); 2022-11-23T01:37:55.6592998Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + (8*i1) + (10*i0)); 2022-11-23T01:37:55.6593082Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6593186Z tmp2.store(out_ptr0 + (8*i1) + (10*i0)); 2022-11-23T01:37:55.6593248Z } 2022-11-23T01:37:55.6593338Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.6593419Z for(long i1=8; i1<10; i1+=1) 2022-11-23T01:37:55.6593468Z { 2022-11-23T01:37:55.6593550Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.6593646Z auto tmp1 = in_ptr1[i1 + (10*i0)]; 2022-11-23T01:37:55.6593731Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6593821Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:37:55.6593884Z } 2022-11-23T01:37:55.6593935Z } 2022-11-23T01:37:55.6593997Z } 2022-11-23T01:37:55.6594078Z ''') 2022-11-23T01:37:55.6594083Z 2022-11-23T01:37:55.6594087Z 2022-11-23T01:37:55.6594177Z async_compile.wait(globals()) 2022-11-23T01:37:55.6594249Z del async_compile 2022-11-23T01:37:55.6594254Z 2022-11-23T01:37:55.6594324Z def call(args): 2022-11-23T01:37:55.6594397Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.6594467Z args.clear() 2022-11-23T01:37:55.6594663Z buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6594826Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.6594894Z del arg0_1 2022-11-23T01:37:55.6594959Z del arg1_1 2022-11-23T01:37:55.6595028Z return (buf0, ) 2022-11-23T01:37:55.6595036Z 2022-11-23T01:37:55.6595040Z 2022-11-23T01:37:55.6595114Z if __name__ == "__main__": 2022-11-23T01:37:55.6595227Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.6595336Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.6595549Z arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6595750Z arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6595865Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.6595870Z 2022-11-23T01:37:55.6595935Z ok (0.024s) 2022-11-23T01:37:55.6596280Z test_cpu_broadcast2_double (__main__.SweepInputsCpuTest) ... [2022-11-23 01:36:49,107] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.6596554Z [2022-11-23 01:36:49,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.6596779Z [2022-11-23 01:36:49,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.6597038Z [2022-11-23 01:36:49,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.6597345Z [2022-11-23 01:36:49,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.6597673Z [2022-11-23 01:36:49,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.6598005Z [2022-11-23 01:36:49,107] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.6598098Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.6598191Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.6598262Z 4 BINARY_ADD 2022-11-23T01:37:55.6598351Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.6598456Z 8 RETURN_VALUE 2022-11-23T01:37:55.6598503Z 2022-11-23T01:37:55.6598508Z 2022-11-23T01:37:55.6598776Z [2022-11-23 01:36:49,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.6598992Z [2022-11-23 01:36:49,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.6599235Z [2022-11-23 01:36:49,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.6599510Z [2022-11-23 01:36:49,107] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.6599753Z [2022-11-23 01:36:49,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.6600001Z [2022-11-23 01:36:49,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6600340Z [2022-11-23 01:36:49,108] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.6600590Z [2022-11-23 01:36:49,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6600819Z [2022-11-23 01:36:49,108] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.6601073Z [2022-11-23 01:36:49,110] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.6601322Z [2022-11-23 01:36:49,112] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.6601512Z [2022-11-23 01:36:49,112] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6601648Z __compiled_fn_472 .3651 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6601740Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.6601826Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.6602011Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.6602095Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.6602112Z 2022-11-23T01:37:55.6602377Z [2022-11-23 01:36:49,112] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6602475Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6602566Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6602658Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.6602749Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.6602824Z 8 RETURN_VALUE 2022-11-23T01:37:55.6602829Z 2022-11-23T01:37:55.6602888Z 2022-11-23T01:37:55.6603150Z [2022-11-23 01:36:49,113] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6603260Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_472) 2022-11-23T01:37:55.6603352Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6603442Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6603517Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6603604Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6603688Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.6603793Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.6603870Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.6603973Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6604073Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6604160Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6604236Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.6604322Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.6604397Z 26 RETURN_VALUE 2022-11-23T01:37:55.6604402Z 2022-11-23T01:37:55.6604448Z 2022-11-23T01:37:55.6604635Z [2022-11-23 01:36:49,113] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6604739Z - 2022-11-23T01:37:55.6604860Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.6604925Z { 2022-11-23T01:37:55.6605068Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6605259Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.6605368Z 'obj_weakref': None 2022-11-23T01:37:55.6605593Z 'guarded_class': 2022-11-23T01:37:55.6605658Z } 2022-11-23T01:37:55.6605721Z 2022-11-23T01:37:55.6605790Z - 2022-11-23T01:37:55.6605917Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.6605980Z { 2022-11-23T01:37:55.6606112Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6606222Z 'code': None, 2022-11-23T01:37:55.6606441Z 'obj_weakref': 2022-11-23T01:37:55.6606703Z 'guarded_class': 2022-11-23T01:37:55.6606767Z } 2022-11-23T01:37:55.6606833Z 2022-11-23T01:37:55.6606904Z - 2022-11-23T01:37:55.6607016Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.6607082Z { 2022-11-23T01:37:55.6607228Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6607337Z 'code': None, 2022-11-23T01:37:55.6607550Z 'obj_weakref': 2022-11-23T01:37:55.6607802Z 'guarded_class': 2022-11-23T01:37:55.6607866Z } 2022-11-23T01:37:55.6607915Z 2022-11-23T01:37:55.6607987Z - 2022-11-23T01:37:55.6608118Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.6608185Z { 2022-11-23T01:37:55.6608324Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6608496Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.6608618Z 'obj_weakref': None 2022-11-23T01:37:55.6608841Z 'guarded_class': 2022-11-23T01:37:55.6608904Z } 2022-11-23T01:37:55.6608967Z 2022-11-23T01:37:55.6609039Z - 2022-11-23T01:37:55.6609163Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.6609225Z { 2022-11-23T01:37:55.6609362Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.6609569Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.6609687Z 'obj_weakref': None 2022-11-23T01:37:55.6609913Z 'guarded_class': 2022-11-23T01:37:55.6609981Z } 2022-11-23T01:37:55.6610043Z 2022-11-23T01:37:55.6610304Z [2022-11-23 01:36:49,118] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 464 2022-11-23T01:37:55.6610717Z [2022-11-23 01:36:50,486] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/qw/cqwqxf2qrpynw3kpce2eghgywf6kcubmrbegjdhjhhzq54isx2ni.py 2022-11-23T01:37:55.6610988Z [2022-11-23 01:36:50,487] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 464 2022-11-23T01:37:55.6610994Z 2022-11-23T01:37:55.6611075Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.6611143Z import torch 2022-11-23T01:37:55.6611211Z import random 2022-11-23T01:37:55.6611325Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.6611446Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.6611451Z 2022-11-23T01:37:55.6611529Z aten = torch.ops.aten 2022-11-23T01:37:55.6611663Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.6611774Z async_compile = AsyncCompile() 2022-11-23T01:37:55.6611792Z 2022-11-23T01:37:55.6611797Z 2022-11-23T01:37:55.6611920Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.6612126Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.6612247Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.6612354Z const double* __restrict__ in_ptr1, 2022-11-23T01:37:55.6612456Z double* __restrict__ out_ptr0) 2022-11-23T01:37:55.6612517Z { 2022-11-23T01:37:55.6612594Z #pragma GCC ivdep 2022-11-23T01:37:55.6612663Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.6612724Z { 2022-11-23T01:37:55.6612801Z #pragma GCC ivdep 2022-11-23T01:37:55.6612883Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:37:55.6612945Z { 2022-11-23T01:37:55.6613006Z { 2022-11-23T01:37:55.6613070Z { 2022-11-23T01:37:55.6613153Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.6613252Z auto tmp2 = in_ptr1[i1 + (10*i0)]; 2022-11-23T01:37:55.6613362Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:37:55.6613453Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:37:55.6613548Z out_ptr0[i1 + (10*i0)] = tmp3; 2022-11-23T01:37:55.6613612Z } 2022-11-23T01:37:55.6613675Z } 2022-11-23T01:37:55.6613724Z } 2022-11-23T01:37:55.6613785Z } 2022-11-23T01:37:55.6613845Z } 2022-11-23T01:37:55.6613924Z ''') 2022-11-23T01:37:55.6613931Z 2022-11-23T01:37:55.6613935Z 2022-11-23T01:37:55.6614024Z async_compile.wait(globals()) 2022-11-23T01:37:55.6614096Z del async_compile 2022-11-23T01:37:55.6614100Z 2022-11-23T01:37:55.6614169Z def call(args): 2022-11-23T01:37:55.6614230Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.6614300Z args.clear() 2022-11-23T01:37:55.6614511Z buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:37:55.6614677Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.6614745Z del arg0_1 2022-11-23T01:37:55.6614811Z del arg1_1 2022-11-23T01:37:55.6614881Z return (buf0, ) 2022-11-23T01:37:55.6614886Z 2022-11-23T01:37:55.6614892Z 2022-11-23T01:37:55.6614966Z if __name__ == "__main__": 2022-11-23T01:37:55.6615068Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.6615193Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.6615404Z arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6615607Z arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:37:55.6615721Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.6615726Z 2022-11-23T01:37:55.6615792Z ok (1.386s) 2022-11-23T01:37:55.6616140Z test_cpu_broadcast2_int (__main__.SweepInputsCpuTest) ... [2022-11-23 01:36:50,495] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.6616411Z [2022-11-23 01:36:50,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.6616652Z [2022-11-23 01:36:50,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.6616913Z [2022-11-23 01:36:50,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.6617204Z [2022-11-23 01:36:50,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.6617535Z [2022-11-23 01:36:50,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.6617874Z [2022-11-23 01:36:50,495] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.6617999Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.6618091Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.6618168Z 4 BINARY_ADD 2022-11-23T01:37:55.6618245Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.6618326Z 8 RETURN_VALUE 2022-11-23T01:37:55.6618393Z 2022-11-23T01:37:55.6618398Z 2022-11-23T01:37:55.6618673Z [2022-11-23 01:36:50,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.6619100Z [2022-11-23 01:36:50,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.6619351Z [2022-11-23 01:36:50,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.6619629Z [2022-11-23 01:36:50,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.6619881Z [2022-11-23 01:36:50,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.6620133Z [2022-11-23 01:36:50,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6620462Z [2022-11-23 01:36:50,497] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.6620713Z [2022-11-23 01:36:50,497] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6620951Z [2022-11-23 01:36:50,497] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.6621211Z [2022-11-23 01:36:50,499] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.6621463Z [2022-11-23 01:36:50,502] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.6621662Z [2022-11-23 01:36:50,502] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6621800Z __compiled_fn_473 .3657 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6621892Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.6621979Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.6622150Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.6622247Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.6622253Z 2022-11-23T01:37:55.6622535Z [2022-11-23 01:36:50,503] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6622631Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6622725Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6622819Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.6622911Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.6622978Z 8 RETURN_VALUE 2022-11-23T01:37:55.6622997Z 2022-11-23T01:37:55.6623046Z 2022-11-23T01:37:55.6623325Z [2022-11-23 01:36:50,503] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6623436Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_473) 2022-11-23T01:37:55.6623595Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6623687Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6623766Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6623856Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6623931Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.6624007Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.6624099Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.6624203Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6624307Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6624441Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6624519Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.6624594Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.6624670Z 26 RETURN_VALUE 2022-11-23T01:37:55.6624675Z 2022-11-23T01:37:55.6624734Z 2022-11-23T01:37:55.6624926Z [2022-11-23 01:36:50,504] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6625001Z - 2022-11-23T01:37:55.6625124Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.6625187Z { 2022-11-23T01:37:55.6625314Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6625505Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.6625628Z 'obj_weakref': None 2022-11-23T01:37:55.6625853Z 'guarded_class': 2022-11-23T01:37:55.6625918Z } 2022-11-23T01:37:55.6625981Z 2022-11-23T01:37:55.6626056Z - 2022-11-23T01:37:55.6626168Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.6626230Z { 2022-11-23T01:37:55.6626374Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6626484Z 'code': None, 2022-11-23T01:37:55.6626701Z 'obj_weakref': 2022-11-23T01:37:55.6626956Z 'guarded_class': 2022-11-23T01:37:55.6627018Z } 2022-11-23T01:37:55.6627068Z 2022-11-23T01:37:55.6627136Z - 2022-11-23T01:37:55.6627261Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.6627326Z { 2022-11-23T01:37:55.6627471Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6627582Z 'code': None, 2022-11-23T01:37:55.6627795Z 'obj_weakref': 2022-11-23T01:37:55.6628040Z 'guarded_class': 2022-11-23T01:37:55.6628166Z } 2022-11-23T01:37:55.6628236Z 2022-11-23T01:37:55.6628309Z - 2022-11-23T01:37:55.6628443Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.6628511Z { 2022-11-23T01:37:55.6628652Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6628811Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.6628934Z 'obj_weakref': None 2022-11-23T01:37:55.6629166Z 'guarded_class': 2022-11-23T01:37:55.6629230Z } 2022-11-23T01:37:55.6629293Z 2022-11-23T01:37:55.6629364Z - 2022-11-23T01:37:55.6629492Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.6629542Z { 2022-11-23T01:37:55.6629681Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.6629904Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.6630027Z 'obj_weakref': None 2022-11-23T01:37:55.6630250Z 'guarded_class': 2022-11-23T01:37:55.6630318Z } 2022-11-23T01:37:55.6630420Z 2022-11-23T01:37:55.6630673Z [2022-11-23 01:36:50,509] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 465 2022-11-23T01:37:55.6631051Z [2022-11-23 01:36:51,879] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wj/cwjbuzhdzqcrerp4gdwafybpawazjtf4de3njzo5mu5g2fawtbxf.py 2022-11-23T01:37:55.6631315Z [2022-11-23 01:36:51,880] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 465 2022-11-23T01:37:55.6631321Z 2022-11-23T01:37:55.6631416Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.6631524Z import torch 2022-11-23T01:37:55.6631593Z import random 2022-11-23T01:37:55.6631708Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.6631828Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.6631833Z 2022-11-23T01:37:55.6631910Z aten = torch.ops.aten 2022-11-23T01:37:55.6632033Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.6632125Z async_compile = AsyncCompile() 2022-11-23T01:37:55.6632129Z 2022-11-23T01:37:55.6632134Z 2022-11-23T01:37:55.6632270Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.6632474Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.6632596Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.6632698Z const int* __restrict__ in_ptr1, 2022-11-23T01:37:55.6632797Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.6632857Z { 2022-11-23T01:37:55.6632921Z #pragma GCC ivdep 2022-11-23T01:37:55.6633005Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.6633067Z { 2022-11-23T01:37:55.6633144Z #pragma GCC ivdep 2022-11-23T01:37:55.6633225Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:37:55.6633290Z { 2022-11-23T01:37:55.6633342Z { 2022-11-23T01:37:55.6633407Z { 2022-11-23T01:37:55.6633502Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.6633592Z auto tmp1 = in_ptr1[i1]; 2022-11-23T01:37:55.6633698Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:37:55.6633789Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:37:55.6633883Z out_ptr0[i1 + (10*i0)] = tmp3; 2022-11-23T01:37:55.6633938Z } 2022-11-23T01:37:55.6634000Z } 2022-11-23T01:37:55.6634062Z } 2022-11-23T01:37:55.6634123Z } 2022-11-23T01:37:55.6634185Z } 2022-11-23T01:37:55.6634265Z ''') 2022-11-23T01:37:55.6634270Z 2022-11-23T01:37:55.6634277Z 2022-11-23T01:37:55.6634366Z async_compile.wait(globals()) 2022-11-23T01:37:55.6634426Z del async_compile 2022-11-23T01:37:55.6634431Z 2022-11-23T01:37:55.6634500Z def call(args): 2022-11-23T01:37:55.6634575Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.6634644Z args.clear() 2022-11-23T01:37:55.6634859Z buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6635023Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.6635092Z del arg0_1 2022-11-23T01:37:55.6635146Z del arg1_1 2022-11-23T01:37:55.6635220Z return (buf0, ) 2022-11-23T01:37:55.6635225Z 2022-11-23T01:37:55.6635229Z 2022-11-23T01:37:55.6635305Z if __name__ == "__main__": 2022-11-23T01:37:55.6635417Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.6635541Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.6635750Z arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6635949Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:37:55.6636064Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.6636069Z 2022-11-23T01:37:55.6636124Z ok (1.393s) 2022-11-23T01:37:55.6636506Z test_cpu_broadcast2_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 01:36:51,888] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.6636784Z [2022-11-23 01:36:51,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.6637006Z [2022-11-23 01:36:51,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.6637264Z [2022-11-23 01:36:51,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.6637554Z [2022-11-23 01:36:51,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.6637965Z [2022-11-23 01:36:51,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.6638304Z [2022-11-23 01:36:51,889] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.6638397Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.6638489Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.6638549Z 4 BINARY_ADD 2022-11-23T01:37:55.6638637Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.6638712Z 8 RETURN_VALUE 2022-11-23T01:37:55.6638773Z 2022-11-23T01:37:55.6638778Z 2022-11-23T01:37:55.6639051Z [2022-11-23 01:36:51,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.6639263Z [2022-11-23 01:36:51,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.6639511Z [2022-11-23 01:36:51,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.6639791Z [2022-11-23 01:36:51,889] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.6640024Z [2022-11-23 01:36:51,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.6640274Z [2022-11-23 01:36:51,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6640615Z [2022-11-23 01:36:51,891] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.6640863Z [2022-11-23 01:36:51,891] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6641101Z [2022-11-23 01:36:51,891] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.6641363Z [2022-11-23 01:36:51,892] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.6641618Z [2022-11-23 01:36:51,896] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.6641813Z [2022-11-23 01:36:51,896] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6641948Z __compiled_fn_474 .3663 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6642025Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.6642112Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.6642293Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.6642388Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.6642394Z 2022-11-23T01:37:55.6642672Z [2022-11-23 01:36:51,896] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6642770Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6642858Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6642952Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.6643029Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.6643105Z 8 RETURN_VALUE 2022-11-23T01:37:55.6643140Z 2022-11-23T01:37:55.6643204Z 2022-11-23T01:37:55.6643481Z [2022-11-23 01:36:51,896] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6643591Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_474) 2022-11-23T01:37:55.6643680Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6643767Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6643831Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6643919Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6644005Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.6644110Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.6644198Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.6644301Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6644403Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6644480Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6644555Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.6644642Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.6644717Z 26 RETURN_VALUE 2022-11-23T01:37:55.6644722Z 2022-11-23T01:37:55.6644782Z 2022-11-23T01:37:55.6644968Z [2022-11-23 01:36:51,897] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6645041Z - 2022-11-23T01:37:55.6645149Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.6645212Z { 2022-11-23T01:37:55.6645355Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6645549Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.6645673Z 'obj_weakref': None 2022-11-23T01:37:55.6645899Z 'guarded_class': 2022-11-23T01:37:55.6645963Z } 2022-11-23T01:37:55.6646023Z 2022-11-23T01:37:55.6646081Z - 2022-11-23T01:37:55.6646210Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.6646272Z { 2022-11-23T01:37:55.6646417Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6646526Z 'code': None, 2022-11-23T01:37:55.6646742Z 'obj_weakref': 2022-11-23T01:37:55.6646996Z 'guarded_class': 2022-11-23T01:37:55.6647047Z } 2022-11-23T01:37:55.6647108Z 2022-11-23T01:37:55.6647180Z - 2022-11-23T01:37:55.6647305Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.6647371Z { 2022-11-23T01:37:55.6647514Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6647610Z 'code': None, 2022-11-23T01:37:55.6647823Z 'obj_weakref': 2022-11-23T01:37:55.6648077Z 'guarded_class': 2022-11-23T01:37:55.6648141Z } 2022-11-23T01:37:55.6648203Z 2022-11-23T01:37:55.6648276Z - 2022-11-23T01:37:55.6648409Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.6648459Z { 2022-11-23T01:37:55.6648595Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6648766Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.6648887Z 'obj_weakref': None 2022-11-23T01:37:55.6649120Z 'guarded_class': 2022-11-23T01:37:55.6649187Z } 2022-11-23T01:37:55.6649249Z 2022-11-23T01:37:55.6649308Z - 2022-11-23T01:37:55.6649431Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.6649494Z { 2022-11-23T01:37:55.6649635Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.6649887Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.6650012Z 'obj_weakref': None 2022-11-23T01:37:55.6650240Z 'guarded_class': 2022-11-23T01:37:55.6650302Z } 2022-11-23T01:37:55.6650351Z 2022-11-23T01:37:55.6650614Z [2022-11-23 01:36:51,903] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 466 2022-11-23T01:37:55.6650991Z [2022-11-23 01:36:53,281] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/jc/cjclx6uq7vhi4zkjeyetspgtlozhtse3dgkoq7gk3jjp5xvz5qk2.py 2022-11-23T01:37:55.6651346Z [2022-11-23 01:36:53,282] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 466 2022-11-23T01:37:55.6651357Z 2022-11-23T01:37:55.6651492Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.6651589Z import torch 2022-11-23T01:37:55.6651663Z import random 2022-11-23T01:37:55.6651782Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.6651892Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.6651898Z 2022-11-23T01:37:55.6651974Z aten = torch.ops.aten 2022-11-23T01:37:55.6652108Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.6652200Z async_compile = AsyncCompile() 2022-11-23T01:37:55.6652205Z 2022-11-23T01:37:55.6652210Z 2022-11-23T01:37:55.6652349Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.6652555Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.6652679Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.6652781Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.6652869Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.6652931Z { 2022-11-23T01:37:55.6653008Z #pragma GCC ivdep 2022-11-23T01:37:55.6653091Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.6653152Z { 2022-11-23T01:37:55.6653230Z #pragma GCC ivdep 2022-11-23T01:37:55.6653299Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:37:55.6653360Z { 2022-11-23T01:37:55.6653422Z { 2022-11-23T01:37:55.6653486Z { 2022-11-23T01:37:55.6653581Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.6653685Z auto tmp1 = in_ptr1[(2*i1) + (30*i0)]; 2022-11-23T01:37:55.6653776Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6653857Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:37:55.6653924Z } 2022-11-23T01:37:55.6653987Z } 2022-11-23T01:37:55.6654052Z } 2022-11-23T01:37:55.6654111Z } 2022-11-23T01:37:55.6654170Z } 2022-11-23T01:37:55.6654250Z ''') 2022-11-23T01:37:55.6654255Z 2022-11-23T01:37:55.6654259Z 2022-11-23T01:37:55.6654336Z async_compile.wait(globals()) 2022-11-23T01:37:55.6654406Z del async_compile 2022-11-23T01:37:55.6654413Z 2022-11-23T01:37:55.6654489Z def call(args): 2022-11-23T01:37:55.6654609Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.6654726Z args.clear() 2022-11-23T01:37:55.6654950Z buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6655115Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.6655184Z del arg0_1 2022-11-23T01:37:55.6655239Z del arg1_1 2022-11-23T01:37:55.6655309Z return (buf0, ) 2022-11-23T01:37:55.6655315Z 2022-11-23T01:37:55.6655319Z 2022-11-23T01:37:55.6655400Z if __name__ == "__main__": 2022-11-23T01:37:55.6655513Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.6655637Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.6655848Z arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6656089Z arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6656195Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.6656214Z 2022-11-23T01:37:55.6656268Z ok (1.402s) 2022-11-23T01:37:55.6656631Z test_cpu_broadcast2_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 01:36:53,290] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.6656908Z [2022-11-23 01:36:53,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.6657132Z [2022-11-23 01:36:53,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.6657423Z [2022-11-23 01:36:53,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.6657714Z [2022-11-23 01:36:53,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.6658046Z [2022-11-23 01:36:53,290] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.6658387Z [2022-11-23 01:36:53,291] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.6658481Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.6658560Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.6658634Z 4 BINARY_ADD 2022-11-23T01:37:55.6658724Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.6658968Z 8 RETURN_VALUE 2022-11-23T01:37:55.6659074Z 2022-11-23T01:37:55.6659083Z 2022-11-23T01:37:55.6659373Z [2022-11-23 01:36:53,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.6659588Z [2022-11-23 01:36:53,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.6659834Z [2022-11-23 01:36:53,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.6660099Z [2022-11-23 01:36:53,291] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.6660345Z [2022-11-23 01:36:53,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.6660598Z [2022-11-23 01:36:53,292] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6660941Z [2022-11-23 01:36:53,292] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.6661194Z [2022-11-23 01:36:53,293] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6661435Z [2022-11-23 01:36:53,293] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.6661698Z [2022-11-23 01:36:53,294] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.6661952Z [2022-11-23 01:36:53,297] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.6662145Z [2022-11-23 01:36:53,298] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6662268Z __compiled_fn_475 .3669 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6662359Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.6662448Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.6662634Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.6662733Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.6662739Z 2022-11-23T01:37:55.6663021Z [2022-11-23 01:36:53,298] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6663117Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6663272Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6663356Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.6663447Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.6663526Z 8 RETURN_VALUE 2022-11-23T01:37:55.6663531Z 2022-11-23T01:37:55.6663594Z 2022-11-23T01:37:55.6663877Z [2022-11-23 01:36:53,298] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6663992Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_475) 2022-11-23T01:37:55.6664084Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6664203Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6664282Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6664370Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6664460Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.6664535Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.6664625Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.6664731Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6664821Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6664908Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6664982Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.6665071Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.6665144Z 26 RETURN_VALUE 2022-11-23T01:37:55.6665149Z 2022-11-23T01:37:55.6665211Z 2022-11-23T01:37:55.6665397Z [2022-11-23 01:36:53,299] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6665474Z - 2022-11-23T01:37:55.6665582Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.6665646Z { 2022-11-23T01:37:55.6665789Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6665982Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.6666105Z 'obj_weakref': None 2022-11-23T01:37:55.6666340Z 'guarded_class': 2022-11-23T01:37:55.6666406Z } 2022-11-23T01:37:55.6666457Z 2022-11-23T01:37:55.6666527Z - 2022-11-23T01:37:55.6666655Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.6666719Z { 2022-11-23T01:37:55.6666864Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6666976Z 'code': None, 2022-11-23T01:37:55.6667192Z 'obj_weakref': 2022-11-23T01:37:55.6667438Z 'guarded_class': 2022-11-23T01:37:55.6667503Z } 2022-11-23T01:37:55.6667567Z 2022-11-23T01:37:55.6667639Z - 2022-11-23T01:37:55.6667765Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.6667827Z { 2022-11-23T01:37:55.6667973Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6668070Z 'code': None, 2022-11-23T01:37:55.6668381Z 'obj_weakref': 2022-11-23T01:37:55.6668638Z 'guarded_class': 2022-11-23T01:37:55.6668704Z } 2022-11-23T01:37:55.6668768Z 2022-11-23T01:37:55.6668842Z - 2022-11-23T01:37:55.6668976Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.6669027Z { 2022-11-23T01:37:55.6669162Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6669339Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.6669464Z 'obj_weakref': None 2022-11-23T01:37:55.6669701Z 'guarded_class': 2022-11-23T01:37:55.6669766Z } 2022-11-23T01:37:55.6669863Z 2022-11-23T01:37:55.6669924Z - 2022-11-23T01:37:55.6670050Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.6670115Z { 2022-11-23T01:37:55.6670256Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.6670475Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.6670597Z 'obj_weakref': None 2022-11-23T01:37:55.6670819Z 'guarded_class': 2022-11-23T01:37:55.6670870Z } 2022-11-23T01:37:55.6670933Z 2022-11-23T01:37:55.6671229Z [2022-11-23 01:36:53,305] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 467 2022-11-23T01:37:55.6671602Z [2022-11-23 01:36:53,317] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/be/cbetbn5bwkvyfddwwi62e5gedpd3qzdj4q2qu3l7cacdjskwcrm2.py 2022-11-23T01:37:55.6671873Z [2022-11-23 01:36:53,317] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 467 2022-11-23T01:37:55.6671879Z 2022-11-23T01:37:55.6671972Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.6672040Z import torch 2022-11-23T01:37:55.6672110Z import random 2022-11-23T01:37:55.6672213Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.6672333Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.6672338Z 2022-11-23T01:37:55.6672417Z aten = torch.ops.aten 2022-11-23T01:37:55.6672550Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.6672641Z async_compile = AsyncCompile() 2022-11-23T01:37:55.6672649Z 2022-11-23T01:37:55.6672653Z 2022-11-23T01:37:55.6672788Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.6672995Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.6673114Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.6673210Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.6673309Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.6673371Z { 2022-11-23T01:37:55.6673447Z #pragma GCC ivdep 2022-11-23T01:37:55.6673526Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.6673587Z { 2022-11-23T01:37:55.6673668Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:37:55.6673717Z { 2022-11-23T01:37:55.6673859Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i1); 2022-11-23T01:37:55.6673999Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + (8*i1) + (10*i0)); 2022-11-23T01:37:55.6674087Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6674188Z tmp2.store(out_ptr0 + (8*i1) + (10*i0)); 2022-11-23T01:37:55.6674250Z } 2022-11-23T01:37:55.6674340Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.6674406Z for(long i1=8; i1<10; i1+=1) 2022-11-23T01:37:55.6674467Z { 2022-11-23T01:37:55.6674551Z auto tmp0 = in_ptr0[i1]; 2022-11-23T01:37:55.6674645Z auto tmp1 = in_ptr1[i1 + (10*i0)]; 2022-11-23T01:37:55.6674727Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6674815Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:37:55.6674876Z } 2022-11-23T01:37:55.6674925Z } 2022-11-23T01:37:55.6674984Z } 2022-11-23T01:37:55.6675064Z ''') 2022-11-23T01:37:55.6675069Z 2022-11-23T01:37:55.6675073Z 2022-11-23T01:37:55.6675162Z async_compile.wait(globals()) 2022-11-23T01:37:55.6675233Z del async_compile 2022-11-23T01:37:55.6675238Z 2022-11-23T01:37:55.6675309Z def call(args): 2022-11-23T01:37:55.6675390Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.6675449Z args.clear() 2022-11-23T01:37:55.6675658Z buf0 = empty_strided((1, 10, 10), (100, 1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6675821Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.6675919Z del arg0_1 2022-11-23T01:37:55.6675986Z del arg1_1 2022-11-23T01:37:55.6676057Z return (buf0, ) 2022-11-23T01:37:55.6676062Z 2022-11-23T01:37:55.6676066Z 2022-11-23T01:37:55.6676140Z if __name__ == "__main__": 2022-11-23T01:37:55.6676252Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.6676362Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.6676575Z arg0_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6676777Z arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6676923Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.6676928Z 2022-11-23T01:37:55.6676994Z ok (0.033s) 2022-11-23T01:37:55.6677351Z test_cpu_broadcast3_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:36:53,321] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.6677629Z [2022-11-23 01:36:53,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.6677851Z [2022-11-23 01:36:53,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.6678095Z [2022-11-23 01:36:53,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.6678385Z [2022-11-23 01:36:53,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.6678711Z [2022-11-23 01:36:53,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.6679050Z [2022-11-23 01:36:53,321] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.6679143Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.6679236Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.6679310Z 4 BINARY_ADD 2022-11-23T01:37:55.6679400Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.6679475Z 8 RETURN_VALUE 2022-11-23T01:37:55.6679521Z 2022-11-23T01:37:55.6679526Z 2022-11-23T01:37:55.6679796Z [2022-11-23 01:36:53,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.6680008Z [2022-11-23 01:36:53,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.6680249Z [2022-11-23 01:36:53,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.6680532Z [2022-11-23 01:36:53,321] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.6680775Z [2022-11-23 01:36:53,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.6681027Z [2022-11-23 01:36:53,322] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6681366Z [2022-11-23 01:36:53,323] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.6681615Z [2022-11-23 01:36:53,323] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6681838Z [2022-11-23 01:36:53,323] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.6682094Z [2022-11-23 01:36:53,324] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.6682349Z [2022-11-23 01:36:53,326] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.6682542Z [2022-11-23 01:36:53,326] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6682677Z __compiled_fn_476 .3675 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6682793Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.6682882Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.6683063Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.6683145Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.6683150Z 2022-11-23T01:37:55.6683432Z [2022-11-23 01:36:53,327] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6683525Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6683616Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6683749Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.6683840Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.6683917Z 8 RETURN_VALUE 2022-11-23T01:37:55.6683922Z 2022-11-23T01:37:55.6683982Z 2022-11-23T01:37:55.6684249Z [2022-11-23 01:36:53,327] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6684357Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_476) 2022-11-23T01:37:55.6684447Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6684535Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6684610Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6684698Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6684785Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.6684847Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.6684933Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.6685036Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6685141Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6685228Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6685303Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.6685390Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.6685454Z 26 RETURN_VALUE 2022-11-23T01:37:55.6685472Z 2022-11-23T01:37:55.6685518Z 2022-11-23T01:37:55.6685705Z [2022-11-23 01:36:53,328] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6685781Z - 2022-11-23T01:37:55.6685902Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.6685966Z { 2022-11-23T01:37:55.6686107Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6686283Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.6686404Z 'obj_weakref': None 2022-11-23T01:37:55.6686629Z 'guarded_class': 2022-11-23T01:37:55.6686697Z } 2022-11-23T01:37:55.6686762Z 2022-11-23T01:37:55.6686832Z - 2022-11-23T01:37:55.6686960Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.6687011Z { 2022-11-23T01:37:55.6687153Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6687263Z 'code': None, 2022-11-23T01:37:55.6687480Z 'obj_weakref': 2022-11-23T01:37:55.6687738Z 'guarded_class': 2022-11-23T01:37:55.6687802Z } 2022-11-23T01:37:55.6687864Z 2022-11-23T01:37:55.6687935Z - 2022-11-23T01:37:55.6688047Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.6688110Z { 2022-11-23T01:37:55.6688254Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6688367Z 'code': None, 2022-11-23T01:37:55.6688580Z 'obj_weakref': 2022-11-23T01:37:55.6688837Z 'guarded_class': 2022-11-23T01:37:55.6688902Z } 2022-11-23T01:37:55.6688951Z 2022-11-23T01:37:55.6689051Z - 2022-11-23T01:37:55.6689187Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.6689252Z { 2022-11-23T01:37:55.6689387Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6689560Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.6689683Z 'obj_weakref': None 2022-11-23T01:37:55.6689901Z 'guarded_class': 2022-11-23T01:37:55.6689966Z } 2022-11-23T01:37:55.6690029Z 2022-11-23T01:37:55.6690101Z - 2022-11-23T01:37:55.6690257Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.6690320Z { 2022-11-23T01:37:55.6690444Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.6690662Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.6690783Z 'obj_weakref': None 2022-11-23T01:37:55.6691007Z 'guarded_class': 2022-11-23T01:37:55.6691070Z } 2022-11-23T01:37:55.6691133Z 2022-11-23T01:37:55.6691396Z [2022-11-23 01:36:53,332] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 468 2022-11-23T01:37:55.6691773Z [2022-11-23 01:36:54,698] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ou/counpy3qapr5acxvbgstnmazcz4aeoc3rife4gjjrmagsvuliakc.py 2022-11-23T01:37:55.6692024Z [2022-11-23 01:36:54,698] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 468 2022-11-23T01:37:55.6692045Z 2022-11-23T01:37:55.6692127Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.6692194Z import torch 2022-11-23T01:37:55.6692263Z import random 2022-11-23T01:37:55.6692377Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.6692496Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.6692503Z 2022-11-23T01:37:55.6692581Z aten = torch.ops.aten 2022-11-23T01:37:55.6692717Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.6692795Z async_compile = AsyncCompile() 2022-11-23T01:37:55.6692800Z 2022-11-23T01:37:55.6692816Z 2022-11-23T01:37:55.6692938Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.6693143Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.6693262Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.6693366Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.6693468Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.6693527Z { 2022-11-23T01:37:55.6693607Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:37:55.6693655Z { 2022-11-23T01:37:55.6693784Z auto tmp0 = at::vec::Vectorized(in_ptr0[0]); 2022-11-23T01:37:55.6693919Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.6694005Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6694094Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.6694155Z } 2022-11-23T01:37:55.6694244Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.6694310Z for(long i0=8; i0<10; i0+=1) 2022-11-23T01:37:55.6694369Z { 2022-11-23T01:37:55.6694448Z auto tmp0 = in_ptr0[0]; 2022-11-23T01:37:55.6694529Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.6694607Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6694683Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.6694742Z } 2022-11-23T01:37:55.6694789Z } 2022-11-23T01:37:55.6694869Z ''') 2022-11-23T01:37:55.6694874Z 2022-11-23T01:37:55.6694879Z 2022-11-23T01:37:55.6694966Z async_compile.wait(globals()) 2022-11-23T01:37:55.6695039Z del async_compile 2022-11-23T01:37:55.6695044Z 2022-11-23T01:37:55.6695113Z def call(args): 2022-11-23T01:37:55.6695189Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.6695261Z args.clear() 2022-11-23T01:37:55.6695482Z buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6695651Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.6695722Z del arg0_1 2022-11-23T01:37:55.6695789Z del arg1_1 2022-11-23T01:37:55.6695861Z return (buf0, ) 2022-11-23T01:37:55.6695866Z 2022-11-23T01:37:55.6695871Z 2022-11-23T01:37:55.6695948Z if __name__ == "__main__": 2022-11-23T01:37:55.6696066Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.6696190Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.6696405Z arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6696601Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6696722Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.6696728Z 2022-11-23T01:37:55.6696797Z ok (1.383s) 2022-11-23T01:37:55.6697156Z test_cpu_broadcast3_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:36:54,706] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.6697434Z [2022-11-23 01:36:54,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.6697656Z [2022-11-23 01:36:54,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.6697914Z [2022-11-23 01:36:54,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.6698190Z [2022-11-23 01:36:54,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.6698522Z [2022-11-23 01:36:54,706] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.6699096Z [2022-11-23 01:36:54,707] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.6699207Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.6699300Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.6699376Z 4 BINARY_ADD 2022-11-23T01:37:55.6699466Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.6699546Z 8 RETURN_VALUE 2022-11-23T01:37:55.6699594Z 2022-11-23T01:37:55.6699613Z 2022-11-23T01:37:55.6699875Z [2022-11-23 01:36:54,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.6700091Z [2022-11-23 01:36:54,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.6700333Z [2022-11-23 01:36:54,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.6700614Z [2022-11-23 01:36:54,707] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.6700862Z [2022-11-23 01:36:54,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.6701113Z [2022-11-23 01:36:54,708] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6701457Z [2022-11-23 01:36:54,709] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.6701707Z [2022-11-23 01:36:54,709] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6701950Z [2022-11-23 01:36:54,709] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.6702193Z [2022-11-23 01:36:54,710] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.6702505Z [2022-11-23 01:36:54,713] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.6702702Z [2022-11-23 01:36:54,713] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6702839Z __compiled_fn_477 .3681 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6702930Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.6703018Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.6703203Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.6703300Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.6703305Z 2022-11-23T01:37:55.6703573Z [2022-11-23 01:36:54,714] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6703708Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6703800Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6703896Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.6703987Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.6704067Z 8 RETURN_VALUE 2022-11-23T01:37:55.6704073Z 2022-11-23T01:37:55.6704136Z 2022-11-23T01:37:55.6704415Z [2022-11-23 01:36:54,714] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6704515Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_477) 2022-11-23T01:37:55.6704606Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6704697Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6704775Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6704862Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6704954Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.6705030Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.6705106Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.6705209Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6705314Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6705405Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6705483Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.6705572Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.6705647Z 26 RETURN_VALUE 2022-11-23T01:37:55.6705653Z 2022-11-23T01:37:55.6705704Z 2022-11-23T01:37:55.6705890Z [2022-11-23 01:36:54,715] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6705961Z - 2022-11-23T01:37:55.6706081Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.6706146Z { 2022-11-23T01:37:55.6706287Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6706481Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.6706590Z 'obj_weakref': None 2022-11-23T01:37:55.6706818Z 'guarded_class': 2022-11-23T01:37:55.6706883Z } 2022-11-23T01:37:55.6706948Z 2022-11-23T01:37:55.6707019Z - 2022-11-23T01:37:55.6707145Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.6707207Z { 2022-11-23T01:37:55.6707338Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6707446Z 'code': None, 2022-11-23T01:37:55.6707662Z 'obj_weakref': 2022-11-23T01:37:55.6707916Z 'guarded_class': 2022-11-23T01:37:55.6707979Z } 2022-11-23T01:37:55.6708040Z 2022-11-23T01:37:55.6708182Z - 2022-11-23T01:37:55.6708303Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.6708368Z { 2022-11-23T01:37:55.6708514Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6708624Z 'code': None, 2022-11-23T01:37:55.6708874Z 'obj_weakref': 2022-11-23T01:37:55.6709136Z 'guarded_class': 2022-11-23T01:37:55.6709201Z } 2022-11-23T01:37:55.6709251Z 2022-11-23T01:37:55.6709321Z - 2022-11-23T01:37:55.6709454Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.6709518Z { 2022-11-23T01:37:55.6709656Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6709831Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.6709953Z 'obj_weakref': None 2022-11-23T01:37:55.6710205Z 'guarded_class': 2022-11-23T01:37:55.6710273Z } 2022-11-23T01:37:55.6710332Z 2022-11-23T01:37:55.6710402Z - 2022-11-23T01:37:55.6710526Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.6710589Z { 2022-11-23T01:37:55.6710730Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.6710935Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.6711056Z 'obj_weakref': None 2022-11-23T01:37:55.6711277Z 'guarded_class': 2022-11-23T01:37:55.6711341Z } 2022-11-23T01:37:55.6711403Z 2022-11-23T01:37:55.6711668Z [2022-11-23 01:36:54,720] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 469 2022-11-23T01:37:55.6712038Z [2022-11-23 01:36:54,730] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/2z/c2z7rhl4tdufmiqcq65p4l5gtbjew3vtziajlsaffcqurmso3zvx.py 2022-11-23T01:37:55.6712308Z [2022-11-23 01:36:54,730] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 469 2022-11-23T01:37:55.6712314Z 2022-11-23T01:37:55.6712395Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.6712465Z import torch 2022-11-23T01:37:55.6712533Z import random 2022-11-23T01:37:55.6712648Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.6712770Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.6712775Z 2022-11-23T01:37:55.6712854Z aten = torch.ops.aten 2022-11-23T01:37:55.6712987Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.6713080Z async_compile = AsyncCompile() 2022-11-23T01:37:55.6713085Z 2022-11-23T01:37:55.6713089Z 2022-11-23T01:37:55.6713213Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.6713418Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.6713541Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.6713646Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.6713746Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.6713806Z { 2022-11-23T01:37:55.6713888Z for(long i0=0; i0<1; i0+=1) 2022-11-23T01:37:55.6713936Z { 2022-11-23T01:37:55.6714060Z auto tmp0 = at::vec::Vectorized(in_ptr0[0]); 2022-11-23T01:37:55.6714193Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.6714276Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6714363Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.6714424Z } 2022-11-23T01:37:55.6714510Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.6714575Z for(long i0=8; i0<10; i0+=1) 2022-11-23T01:37:55.6714636Z { 2022-11-23T01:37:55.6714715Z auto tmp0 = in_ptr0[0]; 2022-11-23T01:37:55.6714797Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.6714879Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6714957Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.6715016Z } 2022-11-23T01:37:55.6715062Z } 2022-11-23T01:37:55.6715141Z ''') 2022-11-23T01:37:55.6715146Z 2022-11-23T01:37:55.6715150Z 2022-11-23T01:37:55.6715266Z async_compile.wait(globals()) 2022-11-23T01:37:55.6715342Z del async_compile 2022-11-23T01:37:55.6715347Z 2022-11-23T01:37:55.6715416Z def call(args): 2022-11-23T01:37:55.6715490Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.6715561Z args.clear() 2022-11-23T01:37:55.6715776Z buf0 = empty_strided((1, 10, 1), (10, 1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6715929Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.6715998Z del arg0_1 2022-11-23T01:37:55.6716065Z del arg1_1 2022-11-23T01:37:55.6716135Z return (buf0, ) 2022-11-23T01:37:55.6716170Z 2022-11-23T01:37:55.6716174Z 2022-11-23T01:37:55.6716251Z if __name__ == "__main__": 2022-11-23T01:37:55.6716364Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.6716487Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.6716673Z arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6716885Z arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6717000Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.6717005Z 2022-11-23T01:37:55.6717074Z ok (0.030s) 2022-11-23T01:37:55.6717432Z test_cpu_broadcast3_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:36:54,734] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.6717708Z [2022-11-23 01:36:54,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.6717934Z [2022-11-23 01:36:54,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.6718201Z [2022-11-23 01:36:54,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.6718492Z [2022-11-23 01:36:54,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.6718805Z [2022-11-23 01:36:54,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.6719145Z [2022-11-23 01:36:54,734] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.6719237Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.6719327Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.6719400Z 4 BINARY_ADD 2022-11-23T01:37:55.6719488Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.6719568Z 8 RETURN_VALUE 2022-11-23T01:37:55.6719628Z 2022-11-23T01:37:55.6719633Z 2022-11-23T01:37:55.6719889Z [2022-11-23 01:36:54,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.6720105Z [2022-11-23 01:36:54,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.6720346Z [2022-11-23 01:36:54,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.6720623Z [2022-11-23 01:36:54,734] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.6720869Z [2022-11-23 01:36:54,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.6721115Z [2022-11-23 01:36:54,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6721457Z [2022-11-23 01:36:54,735] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.6721715Z [2022-11-23 01:36:54,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6721987Z [2022-11-23 01:36:54,736] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.6722245Z [2022-11-23 01:36:54,736] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.6722483Z [2022-11-23 01:36:54,739] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.6722673Z [2022-11-23 01:36:54,739] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6722809Z __compiled_fn_478 .3687 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6722898Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.6722985Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.6723200Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.6723297Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.6723302Z 2022-11-23T01:37:55.6723584Z [2022-11-23 01:36:54,740] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6723669Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6723760Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6723856Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.6723946Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.6724022Z 8 RETURN_VALUE 2022-11-23T01:37:55.6724027Z 2022-11-23T01:37:55.6724089Z 2022-11-23T01:37:55.6724364Z [2022-11-23 01:36:54,740] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6724461Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_478) 2022-11-23T01:37:55.6724555Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6724642Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6724719Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6724805Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6724889Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.6724966Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.6725053Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.6725144Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6725243Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6725330Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6725406Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.6725493Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.6725567Z 26 RETURN_VALUE 2022-11-23T01:37:55.6725573Z 2022-11-23T01:37:55.6725631Z 2022-11-23T01:37:55.6725803Z [2022-11-23 01:36:54,740] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6725877Z - 2022-11-23T01:37:55.6725997Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.6726061Z { 2022-11-23T01:37:55.6726203Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6726397Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.6726521Z 'obj_weakref': None 2022-11-23T01:37:55.6726733Z 'guarded_class': 2022-11-23T01:37:55.6726799Z } 2022-11-23T01:37:55.6726862Z 2022-11-23T01:37:55.6726935Z - 2022-11-23T01:37:55.6727060Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.6727122Z { 2022-11-23T01:37:55.6727266Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6727362Z 'code': None, 2022-11-23T01:37:55.6727579Z 'obj_weakref': 2022-11-23T01:37:55.6727838Z 'guarded_class': 2022-11-23T01:37:55.6727902Z } 2022-11-23T01:37:55.6727965Z 2022-11-23T01:37:55.6728039Z - 2022-11-23T01:37:55.6728166Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.6728249Z { 2022-11-23T01:37:55.6728397Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6728510Z 'code': None, 2022-11-23T01:37:55.6728723Z 'obj_weakref': 2022-11-23T01:37:55.6728978Z 'guarded_class': 2022-11-23T01:37:55.6729042Z } 2022-11-23T01:37:55.6729109Z 2022-11-23T01:37:55.6729168Z - 2022-11-23T01:37:55.6729301Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.6729411Z { 2022-11-23T01:37:55.6729551Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6729726Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.6729847Z 'obj_weakref': None 2022-11-23T01:37:55.6730084Z 'guarded_class': 2022-11-23T01:37:55.6730136Z } 2022-11-23T01:37:55.6730197Z 2022-11-23T01:37:55.6730267Z - 2022-11-23T01:37:55.6730392Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.6730454Z { 2022-11-23T01:37:55.6730593Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.6730814Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.6730923Z 'obj_weakref': None 2022-11-23T01:37:55.6731146Z 'guarded_class': 2022-11-23T01:37:55.6731213Z } 2022-11-23T01:37:55.6731276Z 2022-11-23T01:37:55.6731538Z [2022-11-23 01:36:54,745] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 470 2022-11-23T01:37:55.6731914Z [2022-11-23 01:36:56,100] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/lm/clmh734xjfadt5e3yul2rpclhlxk37gld7qoap3yz5biqttom4eu.py 2022-11-23T01:37:55.6732184Z [2022-11-23 01:36:56,100] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 470 2022-11-23T01:37:55.6732189Z 2022-11-23T01:37:55.6732282Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.6732338Z import torch 2022-11-23T01:37:55.6732407Z import random 2022-11-23T01:37:55.6732522Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.6732647Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.6732652Z 2022-11-23T01:37:55.6732728Z aten = torch.ops.aten 2022-11-23T01:37:55.6732861Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.6732958Z async_compile = AsyncCompile() 2022-11-23T01:37:55.6732963Z 2022-11-23T01:37:55.6732967Z 2022-11-23T01:37:55.6733102Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.6733299Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.6733419Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.6733524Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.6733622Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.6733682Z { 2022-11-23T01:37:55.6733743Z { 2022-11-23T01:37:55.6733808Z { 2022-11-23T01:37:55.6733880Z auto tmp0 = in_ptr0[0]; 2022-11-23T01:37:55.6733961Z auto tmp1 = in_ptr1[0]; 2022-11-23T01:37:55.6734044Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6734122Z out_ptr0[0] = tmp2; 2022-11-23T01:37:55.6734183Z } 2022-11-23T01:37:55.6734245Z } 2022-11-23T01:37:55.6734303Z } 2022-11-23T01:37:55.6734370Z ''') 2022-11-23T01:37:55.6734375Z 2022-11-23T01:37:55.6734379Z 2022-11-23T01:37:55.6734467Z async_compile.wait(globals()) 2022-11-23T01:37:55.6734539Z del async_compile 2022-11-23T01:37:55.6734544Z 2022-11-23T01:37:55.6734615Z def call(args): 2022-11-23T01:37:55.6734691Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.6734800Z args.clear() 2022-11-23T01:37:55.6735000Z buf0 = empty_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6735150Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.6735220Z del arg0_1 2022-11-23T01:37:55.6735286Z del arg1_1 2022-11-23T01:37:55.6735361Z return (buf0, ) 2022-11-23T01:37:55.6735366Z 2022-11-23T01:37:55.6735370Z 2022-11-23T01:37:55.6735448Z if __name__ == "__main__": 2022-11-23T01:37:55.6735564Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.6735720Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.6735917Z arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6736099Z arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6736217Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.6736222Z 2022-11-23T01:37:55.6736293Z ok (1.371s) 2022-11-23T01:37:55.6736646Z test_cpu_broadcast3_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 01:36:56,108] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.6736920Z [2022-11-23 01:36:56,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.6737144Z [2022-11-23 01:36:56,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.6737404Z [2022-11-23 01:36:56,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.6737695Z [2022-11-23 01:36:56,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.6744959Z [2022-11-23 01:36:56,108] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.6745404Z [2022-11-23 01:36:56,108] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.6745502Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.6745594Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.6745658Z 4 BINARY_ADD 2022-11-23T01:37:55.6745747Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.6745825Z 8 RETURN_VALUE 2022-11-23T01:37:55.6745886Z 2022-11-23T01:37:55.6745893Z 2022-11-23T01:37:55.6746168Z [2022-11-23 01:36:56,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.6746389Z [2022-11-23 01:36:56,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.6746633Z [2022-11-23 01:36:56,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.6746919Z [2022-11-23 01:36:56,109] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.6747152Z [2022-11-23 01:36:56,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.6747403Z [2022-11-23 01:36:56,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6747743Z [2022-11-23 01:36:56,110] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.6747996Z [2022-11-23 01:36:56,110] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6748319Z [2022-11-23 01:36:56,110] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.6748584Z [2022-11-23 01:36:56,112] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.6748997Z [2022-11-23 01:36:56,115] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.6749198Z [2022-11-23 01:36:56,115] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6749335Z __compiled_fn_479 .3693 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6749411Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.6749497Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.6749683Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.6749781Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.6749787Z 2022-11-23T01:37:55.6750070Z [2022-11-23 01:36:56,115] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6750212Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6750305Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6750398Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.6750478Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.6750554Z 8 RETURN_VALUE 2022-11-23T01:37:55.6750560Z 2022-11-23T01:37:55.6750622Z 2022-11-23T01:37:55.6750900Z [2022-11-23 01:36:56,115] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6751010Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_479) 2022-11-23T01:37:55.6751099Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6751188Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6751265Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6751340Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6751430Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.6751506Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.6751594Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.6751699Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6751801Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6751889Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6751976Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.6752113Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.6752225Z 26 RETURN_VALUE 2022-11-23T01:37:55.6752232Z 2022-11-23T01:37:55.6752300Z 2022-11-23T01:37:55.6752492Z [2022-11-23 01:36:56,116] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6752565Z - 2022-11-23T01:37:55.6752688Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.6752741Z { 2022-11-23T01:37:55.6752887Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6753080Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.6753203Z 'obj_weakref': None 2022-11-23T01:37:55.6753431Z 'guarded_class': 2022-11-23T01:37:55.6753502Z } 2022-11-23T01:37:55.6753568Z 2022-11-23T01:37:55.6753626Z - 2022-11-23T01:37:55.6753756Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.6753819Z { 2022-11-23T01:37:55.6753963Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6754074Z 'code': None, 2022-11-23T01:37:55.6754293Z 'obj_weakref': 2022-11-23T01:37:55.6754549Z 'guarded_class': 2022-11-23T01:37:55.6754601Z } 2022-11-23T01:37:55.6754668Z 2022-11-23T01:37:55.6754739Z - 2022-11-23T01:37:55.6754866Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.6754929Z { 2022-11-23T01:37:55.6755073Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6755183Z 'code': None, 2022-11-23T01:37:55.6755422Z 'obj_weakref': 2022-11-23T01:37:55.6755680Z 'guarded_class': 2022-11-23T01:37:55.6755745Z } 2022-11-23T01:37:55.6755809Z 2022-11-23T01:37:55.6755879Z - 2022-11-23T01:37:55.6756016Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.6756079Z { 2022-11-23T01:37:55.6756202Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6756375Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.6756496Z 'obj_weakref': None 2022-11-23T01:37:55.6756762Z 'guarded_class': 2022-11-23T01:37:55.6756827Z } 2022-11-23T01:37:55.6756894Z 2022-11-23T01:37:55.6756967Z - 2022-11-23T01:37:55.6757079Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.6757144Z { 2022-11-23T01:37:55.6757288Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.6757507Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.6757630Z 'obj_weakref': None 2022-11-23T01:37:55.6757853Z 'guarded_class': 2022-11-23T01:37:55.6757916Z } 2022-11-23T01:37:55.6757968Z 2022-11-23T01:37:55.6758234Z [2022-11-23 01:36:56,122] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 471 2022-11-23T01:37:55.6758620Z [2022-11-23 01:36:57,494] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/he/cheixuidr6npn3hfnhrvdl2tczmxxdsjydgioqvbzg4ftsvyt5rj.py 2022-11-23T01:37:55.6758890Z [2022-11-23 01:36:57,495] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 471 2022-11-23T01:37:55.6758896Z 2022-11-23T01:37:55.6758992Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.6759062Z import torch 2022-11-23T01:37:55.6759133Z import random 2022-11-23T01:37:55.6759249Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.6759357Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.6759375Z 2022-11-23T01:37:55.6759440Z aten = torch.ops.aten 2022-11-23T01:37:55.6759575Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.6759667Z async_compile = AsyncCompile() 2022-11-23T01:37:55.6759672Z 2022-11-23T01:37:55.6759676Z 2022-11-23T01:37:55.6759814Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.6760021Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.6760142Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.6760248Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.6760335Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.6760398Z { 2022-11-23T01:37:55.6760481Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:37:55.6760544Z { 2022-11-23T01:37:55.6760677Z auto tmp0 = at::vec::Vectorized(in_ptr0[0]); 2022-11-23T01:37:55.6760810Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.6760894Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6760982Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.6761029Z } 2022-11-23T01:37:55.6761116Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.6761199Z for(long i0=96; i0<100; i0+=1) 2022-11-23T01:37:55.6761262Z { 2022-11-23T01:37:55.6761344Z auto tmp0 = in_ptr0[0]; 2022-11-23T01:37:55.6761427Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.6761496Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6761574Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.6761636Z } 2022-11-23T01:37:55.6761694Z } 2022-11-23T01:37:55.6761776Z ''') 2022-11-23T01:37:55.6761781Z 2022-11-23T01:37:55.6761815Z 2022-11-23T01:37:55.6761908Z async_compile.wait(globals()) 2022-11-23T01:37:55.6761980Z del async_compile 2022-11-23T01:37:55.6761985Z 2022-11-23T01:37:55.6762056Z def call(args): 2022-11-23T01:37:55.6762119Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.6762190Z args.clear() 2022-11-23T01:37:55.6762397Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6762562Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.6762629Z del arg0_1 2022-11-23T01:37:55.6762697Z del arg1_1 2022-11-23T01:37:55.6762799Z return (buf0, ) 2022-11-23T01:37:55.6762805Z 2022-11-23T01:37:55.6762809Z 2022-11-23T01:37:55.6762872Z if __name__ == "__main__": 2022-11-23T01:37:55.6762986Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.6763111Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.6763312Z arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6763517Z arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6763634Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.6763638Z 2022-11-23T01:37:55.6763704Z ok (1.394s) 2022-11-23T01:37:55.6764052Z test_cpu_broadcast3_double (__main__.SweepInputsCpuTest) ... [2022-11-23 01:36:57,502] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.6764314Z [2022-11-23 01:36:57,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.6764539Z [2022-11-23 01:36:57,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.6764797Z [2022-11-23 01:36:57,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.6765090Z [2022-11-23 01:36:57,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.6765421Z [2022-11-23 01:36:57,502] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.6765759Z [2022-11-23 01:36:57,503] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.6765854Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.6765948Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.6766020Z 4 BINARY_ADD 2022-11-23T01:37:55.6766101Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.6766179Z 8 RETURN_VALUE 2022-11-23T01:37:55.6766241Z 2022-11-23T01:37:55.6766246Z 2022-11-23T01:37:55.6766517Z [2022-11-23 01:36:57,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.6766734Z [2022-11-23 01:36:57,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.6766976Z [2022-11-23 01:36:57,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.6767254Z [2022-11-23 01:36:57,503] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.6767502Z [2022-11-23 01:36:57,504] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.6767738Z [2022-11-23 01:36:57,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6768077Z [2022-11-23 01:36:57,505] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.6768330Z [2022-11-23 01:36:57,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6768598Z [2022-11-23 01:36:57,505] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.6768860Z [2022-11-23 01:36:57,506] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.6769112Z [2022-11-23 01:36:57,509] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.6769305Z [2022-11-23 01:36:57,510] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6769442Z __compiled_fn_480 .3699 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6769533Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.6769608Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.6769821Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.6769917Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.6769923Z 2022-11-23T01:37:55.6770203Z [2022-11-23 01:36:57,510] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6770305Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6770397Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6770490Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.6770583Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.6770647Z 8 RETURN_VALUE 2022-11-23T01:37:55.6770652Z 2022-11-23T01:37:55.6770712Z 2022-11-23T01:37:55.6770990Z [2022-11-23 01:36:57,510] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6771102Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_480) 2022-11-23T01:37:55.6771195Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6771285Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6771360Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6771436Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6771523Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.6771600Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.6771689Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.6771791Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6771891Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6771982Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6772059Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.6772137Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.6772212Z 26 RETURN_VALUE 2022-11-23T01:37:55.6772216Z 2022-11-23T01:37:55.6772277Z 2022-11-23T01:37:55.6772465Z [2022-11-23 01:36:57,511] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6772538Z - 2022-11-23T01:37:55.6772662Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.6772728Z { 2022-11-23T01:37:55.6772859Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6773054Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.6773181Z 'obj_weakref': None 2022-11-23T01:37:55.6773408Z 'guarded_class': 2022-11-23T01:37:55.6773475Z } 2022-11-23T01:37:55.6773541Z 2022-11-23T01:37:55.6773610Z - 2022-11-23T01:37:55.6773724Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.6773788Z { 2022-11-23T01:37:55.6773933Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6774042Z 'code': None, 2022-11-23T01:37:55.6774257Z 'obj_weakref': 2022-11-23T01:37:55.6774515Z 'guarded_class': 2022-11-23T01:37:55.6774579Z } 2022-11-23T01:37:55.6774630Z 2022-11-23T01:37:55.6774700Z - 2022-11-23T01:37:55.6774854Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.6774922Z { 2022-11-23T01:37:55.6775069Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6775215Z 'code': None, 2022-11-23T01:37:55.6775519Z 'obj_weakref': 2022-11-23T01:37:55.6775768Z 'guarded_class': 2022-11-23T01:37:55.6775832Z } 2022-11-23T01:37:55.6775896Z 2022-11-23T01:37:55.6775969Z - 2022-11-23T01:37:55.6776106Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.6776210Z { 2022-11-23T01:37:55.6776347Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6776506Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.6776637Z 'obj_weakref': None 2022-11-23T01:37:55.6776871Z 'guarded_class': 2022-11-23T01:37:55.6776937Z } 2022-11-23T01:37:55.6776988Z 2022-11-23T01:37:55.6777058Z - 2022-11-23T01:37:55.6777180Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.6777242Z { 2022-11-23T01:37:55.6777380Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.6777601Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.6777723Z 'obj_weakref': None 2022-11-23T01:37:55.6777932Z 'guarded_class': 2022-11-23T01:37:55.6778000Z } 2022-11-23T01:37:55.6778063Z 2022-11-23T01:37:55.6778323Z [2022-11-23 01:36:57,517] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 472 2022-11-23T01:37:55.6778706Z [2022-11-23 01:36:58,877] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hn/chnrkezp3ipvrkmfe4xzqfexamllbdpngpagol67nfiem4xc72s6.py 2022-11-23T01:37:55.6779180Z [2022-11-23 01:36:58,878] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 472 2022-11-23T01:37:55.6779188Z 2022-11-23T01:37:55.6779286Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.6779357Z import torch 2022-11-23T01:37:55.6779413Z import random 2022-11-23T01:37:55.6779528Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.6779650Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.6779656Z 2022-11-23T01:37:55.6779736Z aten = torch.ops.aten 2022-11-23T01:37:55.6779874Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.6779969Z async_compile = AsyncCompile() 2022-11-23T01:37:55.6779974Z 2022-11-23T01:37:55.6779979Z 2022-11-23T01:37:55.6780120Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.6780327Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.6780438Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.6780547Z const double* __restrict__ in_ptr1, 2022-11-23T01:37:55.6780649Z double* __restrict__ out_ptr0) 2022-11-23T01:37:55.6780714Z { 2022-11-23T01:37:55.6780793Z #pragma GCC ivdep 2022-11-23T01:37:55.6780877Z for(long i0=0; i0<100; i0+=1) 2022-11-23T01:37:55.6780941Z { 2022-11-23T01:37:55.6780991Z { 2022-11-23T01:37:55.6781056Z { 2022-11-23T01:37:55.6781143Z auto tmp0 = in_ptr0[0]; 2022-11-23T01:37:55.6781232Z auto tmp2 = in_ptr1[i0]; 2022-11-23T01:37:55.6781343Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:37:55.6781434Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:37:55.6781502Z out_ptr0[i0] = tmp3; 2022-11-23T01:37:55.6781569Z } 2022-11-23T01:37:55.6781632Z } 2022-11-23T01:37:55.6781696Z } 2022-11-23T01:37:55.6781759Z } 2022-11-23T01:37:55.6781900Z ''') 2022-11-23T01:37:55.6781906Z 2022-11-23T01:37:55.6781911Z 2022-11-23T01:37:55.6782003Z async_compile.wait(globals()) 2022-11-23T01:37:55.6782065Z del async_compile 2022-11-23T01:37:55.6782083Z 2022-11-23T01:37:55.6782141Z def call(args): 2022-11-23T01:37:55.6782217Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.6782290Z args.clear() 2022-11-23T01:37:55.6782495Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:37:55.6782659Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.6782730Z del arg0_1 2022-11-23T01:37:55.6782860Z del arg1_1 2022-11-23T01:37:55.6782921Z return (buf0, ) 2022-11-23T01:37:55.6782926Z 2022-11-23T01:37:55.6782930Z 2022-11-23T01:37:55.6783007Z if __name__ == "__main__": 2022-11-23T01:37:55.6783125Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.6783252Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.6783523Z arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6783736Z arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:37:55.6783853Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.6783858Z 2022-11-23T01:37:55.6783928Z ok (1.383s) 2022-11-23T01:37:55.6784260Z test_cpu_broadcast3_int (__main__.SweepInputsCpuTest) ... [2022-11-23 01:36:58,885] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.6784533Z [2022-11-23 01:36:58,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.6784759Z [2022-11-23 01:36:58,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.6785018Z [2022-11-23 01:36:58,885] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.6785312Z [2022-11-23 01:36:58,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.6785641Z [2022-11-23 01:36:58,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.6786054Z [2022-11-23 01:36:58,886] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.6786190Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.6786317Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.6786403Z 4 BINARY_ADD 2022-11-23T01:37:55.6786551Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.6786650Z 8 RETURN_VALUE 2022-11-23T01:37:55.6786718Z 2022-11-23T01:37:55.6786723Z 2022-11-23T01:37:55.6787000Z [2022-11-23 01:36:58,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.6787214Z [2022-11-23 01:36:58,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.6787462Z [2022-11-23 01:36:58,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.6787741Z [2022-11-23 01:36:58,886] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.6787975Z [2022-11-23 01:36:58,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.6788290Z [2022-11-23 01:36:58,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6788639Z [2022-11-23 01:36:58,888] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.6788889Z [2022-11-23 01:36:58,888] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6789172Z [2022-11-23 01:36:58,888] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.6789438Z [2022-11-23 01:36:58,889] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.6789692Z [2022-11-23 01:36:58,892] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.6789884Z [2022-11-23 01:36:58,893] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6790021Z __compiled_fn_481 .3705 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6790098Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.6790218Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.6790403Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.6790496Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.6790502Z 2022-11-23T01:37:55.6790785Z [2022-11-23 01:36:58,893] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6790878Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6790967Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6791058Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.6791137Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.6791211Z 8 RETURN_VALUE 2022-11-23T01:37:55.6791216Z 2022-11-23T01:37:55.6791275Z 2022-11-23T01:37:55.6791554Z [2022-11-23 01:36:58,893] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6791664Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_481) 2022-11-23T01:37:55.6791757Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6791847Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6791911Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6791997Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6792085Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.6792159Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.6792246Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.6792347Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6792451Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6792539Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6792602Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.6792688Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.6792762Z 26 RETURN_VALUE 2022-11-23T01:37:55.6792769Z 2022-11-23T01:37:55.6792828Z 2022-11-23T01:37:55.6793015Z [2022-11-23 01:36:58,894] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6793086Z - 2022-11-23T01:37:55.6793210Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.6793261Z { 2022-11-23T01:37:55.6793403Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6793595Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.6793720Z 'obj_weakref': None 2022-11-23T01:37:55.6793946Z 'guarded_class': 2022-11-23T01:37:55.6794010Z } 2022-11-23T01:37:55.6794072Z 2022-11-23T01:37:55.6794128Z - 2022-11-23T01:37:55.6794254Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.6794316Z { 2022-11-23T01:37:55.6794461Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6794572Z 'code': None, 2022-11-23T01:37:55.6794791Z 'obj_weakref': 2022-11-23T01:37:55.6795048Z 'guarded_class': 2022-11-23T01:37:55.6795100Z } 2022-11-23T01:37:55.6795161Z 2022-11-23T01:37:55.6795259Z - 2022-11-23T01:37:55.6795390Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.6795454Z { 2022-11-23T01:37:55.6795599Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6795707Z 'code': None, 2022-11-23T01:37:55.6795910Z 'obj_weakref': 2022-11-23T01:37:55.6796165Z 'guarded_class': 2022-11-23T01:37:55.6796231Z } 2022-11-23T01:37:55.6796293Z 2022-11-23T01:37:55.6796398Z - 2022-11-23T01:37:55.6796532Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.6796594Z { 2022-11-23T01:37:55.6796718Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6796888Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.6797011Z 'obj_weakref': None 2022-11-23T01:37:55.6797249Z 'guarded_class': 2022-11-23T01:37:55.6797313Z } 2022-11-23T01:37:55.6797374Z 2022-11-23T01:37:55.6797444Z - 2022-11-23T01:37:55.6797555Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.6797617Z { 2022-11-23T01:37:55.6797754Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.6797975Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.6798096Z 'obj_weakref': None 2022-11-23T01:37:55.6798318Z 'guarded_class': 2022-11-23T01:37:55.6798384Z } 2022-11-23T01:37:55.6798433Z 2022-11-23T01:37:55.6798697Z [2022-11-23 01:36:58,900] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 473 2022-11-23T01:37:55.6799071Z [2022-11-23 01:37:00,294] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/rv/crv7on2erblkqsnp7mbhwfk2ykwk4wq3z45gwqtlwxfye67mtqfj.py 2022-11-23T01:37:55.6799340Z [2022-11-23 01:37:00,294] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 473 2022-11-23T01:37:55.6799345Z 2022-11-23T01:37:55.6799438Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.6799506Z import torch 2022-11-23T01:37:55.6799575Z import random 2022-11-23T01:37:55.6799691Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.6799798Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.6799804Z 2022-11-23T01:37:55.6799883Z aten = torch.ops.aten 2022-11-23T01:37:55.6800018Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.6800110Z async_compile = AsyncCompile() 2022-11-23T01:37:55.6800115Z 2022-11-23T01:37:55.6800120Z 2022-11-23T01:37:55.6800255Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.6800463Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.6800583Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.6800684Z const int* __restrict__ in_ptr1, 2022-11-23T01:37:55.6800770Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.6800830Z { 2022-11-23T01:37:55.6800907Z #pragma GCC ivdep 2022-11-23T01:37:55.6800988Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.6801049Z { 2022-11-23T01:37:55.6801111Z { 2022-11-23T01:37:55.6801173Z { 2022-11-23T01:37:55.6801244Z auto tmp0 = in_ptr0[0]; 2022-11-23T01:37:55.6801333Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.6801438Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:37:55.6801525Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:37:55.6801606Z out_ptr0[i0] = tmp3; 2022-11-23T01:37:55.6801668Z } 2022-11-23T01:37:55.6801730Z } 2022-11-23T01:37:55.6801810Z } 2022-11-23T01:37:55.6801869Z } 2022-11-23T01:37:55.6801948Z ''') 2022-11-23T01:37:55.6801953Z 2022-11-23T01:37:55.6801958Z 2022-11-23T01:37:55.6802046Z async_compile.wait(globals()) 2022-11-23T01:37:55.6802118Z del async_compile 2022-11-23T01:37:55.6802123Z 2022-11-23T01:37:55.6802191Z def call(args): 2022-11-23T01:37:55.6802265Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.6802324Z args.clear() 2022-11-23T01:37:55.6802520Z buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6802682Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.6802784Z del arg0_1 2022-11-23T01:37:55.6802855Z del arg1_1 2022-11-23T01:37:55.6802929Z return (buf0, ) 2022-11-23T01:37:55.6802933Z 2022-11-23T01:37:55.6802938Z 2022-11-23T01:37:55.6803015Z if __name__ == "__main__": 2022-11-23T01:37:55.6803115Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.6803239Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.6803439Z arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6803635Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:37:55.6803751Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.6803756Z 2022-11-23T01:37:55.6803822Z ok (1.416s) 2022-11-23T01:37:55.6804171Z test_cpu_broadcast3_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:00,303] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.6804450Z [2022-11-23 01:37:00,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.6804671Z [2022-11-23 01:37:00,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.6804919Z [2022-11-23 01:37:00,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.6805207Z [2022-11-23 01:37:00,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.6805534Z [2022-11-23 01:37:00,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.6805871Z [2022-11-23 01:37:00,303] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.6805964Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.6806059Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.6806131Z 4 BINARY_ADD 2022-11-23T01:37:55.6806221Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.6806285Z 8 RETURN_VALUE 2022-11-23T01:37:55.6806346Z 2022-11-23T01:37:55.6806351Z 2022-11-23T01:37:55.6806620Z [2022-11-23 01:37:00,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.6806834Z [2022-11-23 01:37:00,303] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.6807075Z [2022-11-23 01:37:00,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.6807352Z [2022-11-23 01:37:00,304] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.6807598Z [2022-11-23 01:37:00,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.6807847Z [2022-11-23 01:37:00,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6808188Z [2022-11-23 01:37:00,305] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.6808453Z [2022-11-23 01:37:00,305] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6808695Z [2022-11-23 01:37:00,305] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.6808951Z [2022-11-23 01:37:00,306] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.6809204Z [2022-11-23 01:37:00,310] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.6809397Z [2022-11-23 01:37:00,310] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6809533Z __compiled_fn_482 .3711 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6809656Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.6809743Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.6809912Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.6810009Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.6810015Z 2022-11-23T01:37:55.6810297Z [2022-11-23 01:37:00,311] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6810391Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6810483Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6810577Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.6810667Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.6810742Z 8 RETURN_VALUE 2022-11-23T01:37:55.6810747Z 2022-11-23T01:37:55.6810795Z 2022-11-23T01:37:55.6811069Z [2022-11-23 01:37:00,311] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6811182Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_482) 2022-11-23T01:37:55.6811277Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6811367Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6811444Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6811534Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6811620Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.6811684Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.6811771Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.6811874Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6811975Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6812063Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6812139Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.6812227Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.6812290Z 26 RETURN_VALUE 2022-11-23T01:37:55.6812294Z 2022-11-23T01:37:55.6812353Z 2022-11-23T01:37:55.6812538Z [2022-11-23 01:37:00,312] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6812612Z - 2022-11-23T01:37:55.6812734Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.6812798Z { 2022-11-23T01:37:55.6812944Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6813123Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.6813246Z 'obj_weakref': None 2022-11-23T01:37:55.6813471Z 'guarded_class': 2022-11-23T01:37:55.6813535Z } 2022-11-23T01:37:55.6813597Z 2022-11-23T01:37:55.6813668Z - 2022-11-23T01:37:55.6813797Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.6813847Z { 2022-11-23T01:37:55.6813991Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6814103Z 'code': None, 2022-11-23T01:37:55.6814321Z 'obj_weakref': 2022-11-23T01:37:55.6814576Z 'guarded_class': 2022-11-23T01:37:55.6814672Z } 2022-11-23T01:37:55.6814736Z 2022-11-23T01:37:55.6814796Z - 2022-11-23T01:37:55.6814921Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.6814983Z { 2022-11-23T01:37:55.6815129Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6815240Z 'code': None, 2022-11-23T01:37:55.6815452Z 'obj_weakref': 2022-11-23T01:37:55.6815707Z 'guarded_class': 2022-11-23T01:37:55.6815758Z } 2022-11-23T01:37:55.6815852Z 2022-11-23T01:37:55.6815923Z - 2022-11-23T01:37:55.6816054Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.6816121Z { 2022-11-23T01:37:55.6816260Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6816434Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.6816545Z 'obj_weakref': None 2022-11-23T01:37:55.6816777Z 'guarded_class': 2022-11-23T01:37:55.6816841Z } 2022-11-23T01:37:55.6816901Z 2022-11-23T01:37:55.6816973Z - 2022-11-23T01:37:55.6817098Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.6817161Z { 2022-11-23T01:37:55.6817286Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.6817504Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.6817627Z 'obj_weakref': None 2022-11-23T01:37:55.6817853Z 'guarded_class': 2022-11-23T01:37:55.6817917Z } 2022-11-23T01:37:55.6817978Z 2022-11-23T01:37:55.6818240Z [2022-11-23 01:37:00,318] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 474 2022-11-23T01:37:55.6818616Z [2022-11-23 01:37:01,726] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/fg/cfgt4i6cigcllx6ybxp6npchvbgahtuk7mz3l2f2xopoe5h5y2xx.py 2022-11-23T01:37:55.6819093Z [2022-11-23 01:37:01,727] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 474 2022-11-23T01:37:55.6819103Z 2022-11-23T01:37:55.6819228Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.6819302Z import torch 2022-11-23T01:37:55.6819372Z import random 2022-11-23T01:37:55.6819487Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.6819608Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.6819617Z 2022-11-23T01:37:55.6819695Z aten = torch.ops.aten 2022-11-23T01:37:55.6819816Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.6819908Z async_compile = AsyncCompile() 2022-11-23T01:37:55.6819913Z 2022-11-23T01:37:55.6819917Z 2022-11-23T01:37:55.6820062Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.6820269Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.6820388Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.6820495Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.6820596Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.6820660Z { 2022-11-23T01:37:55.6820725Z #pragma GCC ivdep 2022-11-23T01:37:55.6820810Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.6820872Z { 2022-11-23T01:37:55.6820952Z #pragma GCC ivdep 2022-11-23T01:37:55.6821039Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:37:55.6821106Z { 2022-11-23T01:37:55.6821171Z { 2022-11-23T01:37:55.6821222Z { 2022-11-23T01:37:55.6821316Z auto tmp0 = in_ptr0[0]; 2022-11-23T01:37:55.6821420Z auto tmp1 = in_ptr1[(2*i1) + (30*i0)]; 2022-11-23T01:37:55.6821574Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6821669Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:37:55.6821735Z } 2022-11-23T01:37:55.6821799Z } 2022-11-23T01:37:55.6821851Z } 2022-11-23T01:37:55.6821914Z } 2022-11-23T01:37:55.6821977Z } 2022-11-23T01:37:55.6822061Z ''') 2022-11-23T01:37:55.6822067Z 2022-11-23T01:37:55.6822071Z 2022-11-23T01:37:55.6822162Z async_compile.wait(globals()) 2022-11-23T01:37:55.6822235Z del async_compile 2022-11-23T01:37:55.6822240Z 2022-11-23T01:37:55.6822311Z def call(args): 2022-11-23T01:37:55.6822373Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.6822488Z args.clear() 2022-11-23T01:37:55.6822699Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6822866Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.6822937Z del arg0_1 2022-11-23T01:37:55.6823005Z del arg1_1 2022-11-23T01:37:55.6823081Z return (buf0, ) 2022-11-23T01:37:55.6823086Z 2022-11-23T01:37:55.6823090Z 2022-11-23T01:37:55.6823169Z if __name__ == "__main__": 2022-11-23T01:37:55.6823270Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.6823396Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.6823597Z arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6823800Z arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6823917Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.6823922Z 2022-11-23T01:37:55.6823994Z ok (1.432s) 2022-11-23T01:37:55.6824351Z test_cpu_broadcast3_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:01,735] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.6824627Z [2022-11-23 01:37:01,735] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.6824836Z [2022-11-23 01:37:01,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.6825094Z [2022-11-23 01:37:01,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.6825386Z [2022-11-23 01:37:01,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.6825716Z [2022-11-23 01:37:01,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.6826056Z [2022-11-23 01:37:01,736] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.6826155Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.6826247Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.6826320Z 4 BINARY_ADD 2022-11-23T01:37:55.6826398Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.6826477Z 8 RETURN_VALUE 2022-11-23T01:37:55.6826539Z 2022-11-23T01:37:55.6826544Z 2022-11-23T01:37:55.6826814Z [2022-11-23 01:37:01,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.6827030Z [2022-11-23 01:37:01,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.6827273Z [2022-11-23 01:37:01,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.6827554Z [2022-11-23 01:37:01,736] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.6827807Z [2022-11-23 01:37:01,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.6828056Z [2022-11-23 01:37:01,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6828503Z [2022-11-23 01:37:01,738] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.6828758Z [2022-11-23 01:37:01,738] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6828995Z [2022-11-23 01:37:01,738] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.6829252Z [2022-11-23 01:37:01,739] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.6829506Z [2022-11-23 01:37:01,743] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.6829751Z [2022-11-23 01:37:01,743] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6829886Z __compiled_fn_483 .3717 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6829977Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.6830066Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.6830236Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.6830331Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.6830337Z 2022-11-23T01:37:55.6830617Z [2022-11-23 01:37:01,743] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6830712Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6830802Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6830894Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.6830986Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.6831053Z 8 RETURN_VALUE 2022-11-23T01:37:55.6831071Z 2022-11-23T01:37:55.6831119Z 2022-11-23T01:37:55.6831394Z [2022-11-23 01:37:01,743] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6831507Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_483) 2022-11-23T01:37:55.6831597Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6831686Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6831764Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6831852Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6831926Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.6832002Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.6832088Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.6832192Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6832292Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6832381Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6832457Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.6832531Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.6832604Z 26 RETURN_VALUE 2022-11-23T01:37:55.6832609Z 2022-11-23T01:37:55.6832668Z 2022-11-23T01:37:55.6832855Z [2022-11-23 01:37:01,744] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6832929Z - 2022-11-23T01:37:55.6833050Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.6833113Z { 2022-11-23T01:37:55.6833243Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6833430Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.6833552Z 'obj_weakref': None 2022-11-23T01:37:55.6833778Z 'guarded_class': 2022-11-23T01:37:55.6833845Z } 2022-11-23T01:37:55.6833907Z 2022-11-23T01:37:55.6833978Z - 2022-11-23T01:37:55.6834090Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.6834155Z { 2022-11-23T01:37:55.6834299Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6834409Z 'code': None, 2022-11-23T01:37:55.6834654Z 'obj_weakref': 2022-11-23T01:37:55.6834913Z 'guarded_class': 2022-11-23T01:37:55.6834981Z } 2022-11-23T01:37:55.6835031Z 2022-11-23T01:37:55.6835101Z - 2022-11-23T01:37:55.6835226Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.6835291Z { 2022-11-23T01:37:55.6835436Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6835544Z 'code': None, 2022-11-23T01:37:55.6835756Z 'obj_weakref': 2022-11-23T01:37:55.6836029Z 'guarded_class': 2022-11-23T01:37:55.6836096Z } 2022-11-23T01:37:55.6836157Z 2022-11-23T01:37:55.6836229Z - 2022-11-23T01:37:55.6836364Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.6836426Z { 2022-11-23T01:37:55.6836562Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6836719Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.6836841Z 'obj_weakref': None 2022-11-23T01:37:55.6837071Z 'guarded_class': 2022-11-23T01:37:55.6837134Z } 2022-11-23T01:37:55.6837196Z 2022-11-23T01:37:55.6837269Z - 2022-11-23T01:37:55.6837392Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.6837444Z { 2022-11-23T01:37:55.6837585Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.6837804Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.6837926Z 'obj_weakref': None 2022-11-23T01:37:55.6838149Z 'guarded_class': 2022-11-23T01:37:55.6838214Z } 2022-11-23T01:37:55.6838276Z 2022-11-23T01:37:55.6838526Z [2022-11-23 01:37:01,750] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 475 2022-11-23T01:37:55.6838897Z [2022-11-23 01:37:01,760] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/da/cda2ne32by23ogu7trov62sktjlyutbfpswjspzrh5mgc5jgingq.py 2022-11-23T01:37:55.6839161Z [2022-11-23 01:37:01,760] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 475 2022-11-23T01:37:55.6839167Z 2022-11-23T01:37:55.6839260Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.6839330Z import torch 2022-11-23T01:37:55.6839397Z import random 2022-11-23T01:37:55.6839511Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.6839634Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.6839639Z 2022-11-23T01:37:55.6839715Z aten = torch.ops.aten 2022-11-23T01:37:55.6839838Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.6839928Z async_compile = AsyncCompile() 2022-11-23T01:37:55.6839933Z 2022-11-23T01:37:55.6839937Z 2022-11-23T01:37:55.6840072Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.6840277Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.6840396Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.6840502Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.6840604Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.6840666Z { 2022-11-23T01:37:55.6840734Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:37:55.6840794Z { 2022-11-23T01:37:55.6840926Z auto tmp0 = at::vec::Vectorized(in_ptr0[0]); 2022-11-23T01:37:55.6841058Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.6841139Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6841261Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.6841323Z } 2022-11-23T01:37:55.6841398Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.6841482Z for(long i0=96; i0<100; i0+=1) 2022-11-23T01:37:55.6841543Z { 2022-11-23T01:37:55.6841623Z auto tmp0 = in_ptr0[0]; 2022-11-23T01:37:55.6841702Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.6841781Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6841846Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.6841905Z } 2022-11-23T01:37:55.6841965Z } 2022-11-23T01:37:55.6842046Z ''') 2022-11-23T01:37:55.6842051Z 2022-11-23T01:37:55.6842085Z 2022-11-23T01:37:55.6842173Z async_compile.wait(globals()) 2022-11-23T01:37:55.6842246Z del async_compile 2022-11-23T01:37:55.6842250Z 2022-11-23T01:37:55.6842320Z def call(args): 2022-11-23T01:37:55.6842393Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.6842451Z args.clear() 2022-11-23T01:37:55.6842657Z buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6842821Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.6842890Z del arg0_1 2022-11-23T01:37:55.6842955Z del arg1_1 2022-11-23T01:37:55.6843025Z return (buf0, ) 2022-11-23T01:37:55.6843029Z 2022-11-23T01:37:55.6843033Z 2022-11-23T01:37:55.6843109Z if __name__ == "__main__": 2022-11-23T01:37:55.6843210Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.6843331Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.6843528Z arg0_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6843734Z arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6843849Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.6843854Z 2022-11-23T01:37:55.6843919Z ok (0.032s) 2022-11-23T01:37:55.6844268Z test_cpu_dense_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:01,765] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.6844542Z [2022-11-23 01:37:01,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.6844763Z [2022-11-23 01:37:01,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.6845006Z [2022-11-23 01:37:01,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.6845295Z [2022-11-23 01:37:01,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.6845625Z [2022-11-23 01:37:01,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.6845962Z [2022-11-23 01:37:01,765] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.6846054Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.6846144Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.6846217Z 4 BINARY_ADD 2022-11-23T01:37:55.6846307Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.6846370Z 8 RETURN_VALUE 2022-11-23T01:37:55.6846430Z 2022-11-23T01:37:55.6846435Z 2022-11-23T01:37:55.6846703Z [2022-11-23 01:37:01,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.6846917Z [2022-11-23 01:37:01,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.6847162Z [2022-11-23 01:37:01,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.6847438Z [2022-11-23 01:37:01,765] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.6847727Z [2022-11-23 01:37:01,766] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.6847980Z [2022-11-23 01:37:01,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6848319Z [2022-11-23 01:37:01,767] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.6848555Z [2022-11-23 01:37:01,767] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6848792Z [2022-11-23 01:37:01,767] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.6849123Z [2022-11-23 01:37:01,768] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.6849377Z [2022-11-23 01:37:01,770] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.6849570Z [2022-11-23 01:37:01,771] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6849707Z __compiled_fn_484 .3723 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6849798Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.6849884Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.6850052Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.6850147Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.6850153Z 2022-11-23T01:37:55.6850432Z [2022-11-23 01:37:01,771] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6850530Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6850621Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6850714Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.6850806Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.6850882Z 8 RETURN_VALUE 2022-11-23T01:37:55.6850887Z 2022-11-23T01:37:55.6850938Z 2022-11-23T01:37:55.6851215Z [2022-11-23 01:37:01,771] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6851325Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_484) 2022-11-23T01:37:55.6851417Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6851508Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6851585Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6851675Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6851763Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.6851829Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.6851918Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.6852022Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6852122Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6852210Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6852289Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.6852376Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.6852439Z 26 RETURN_VALUE 2022-11-23T01:37:55.6852444Z 2022-11-23T01:37:55.6852505Z 2022-11-23T01:37:55.6852689Z [2022-11-23 01:37:01,772] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6852763Z - 2022-11-23T01:37:55.6852885Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.6852950Z { 2022-11-23T01:37:55.6853092Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6853269Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.6853393Z 'obj_weakref': None 2022-11-23T01:37:55.6853617Z 'guarded_class': 2022-11-23T01:37:55.6853682Z } 2022-11-23T01:37:55.6853745Z 2022-11-23T01:37:55.6853817Z - 2022-11-23T01:37:55.6853972Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.6854022Z { 2022-11-23T01:37:55.6854169Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6854278Z 'code': None, 2022-11-23T01:37:55.6854493Z 'obj_weakref': 2022-11-23T01:37:55.6854750Z 'guarded_class': 2022-11-23T01:37:55.6854814Z } 2022-11-23T01:37:55.6854878Z 2022-11-23T01:37:55.6854935Z - 2022-11-23T01:37:55.6855058Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.6855152Z { 2022-11-23T01:37:55.6855297Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6855406Z 'code': None, 2022-11-23T01:37:55.6855620Z 'obj_weakref': 2022-11-23T01:37:55.6855880Z 'guarded_class': 2022-11-23T01:37:55.6855932Z } 2022-11-23T01:37:55.6855995Z 2022-11-23T01:37:55.6856065Z - 2022-11-23T01:37:55.6856198Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.6856260Z { 2022-11-23T01:37:55.6856396Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6856569Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.6856676Z 'obj_weakref': None 2022-11-23T01:37:55.6856908Z 'guarded_class': 2022-11-23T01:37:55.6856974Z } 2022-11-23T01:37:55.6857038Z 2022-11-23T01:37:55.6857109Z - 2022-11-23T01:37:55.6857231Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.6857293Z { 2022-11-23T01:37:55.6857418Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.6857637Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.6857757Z 'obj_weakref': None 2022-11-23T01:37:55.6857980Z 'guarded_class': 2022-11-23T01:37:55.6858042Z } 2022-11-23T01:37:55.6858103Z 2022-11-23T01:37:55.6858367Z [2022-11-23 01:37:01,778] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 476 2022-11-23T01:37:55.6858727Z [2022-11-23 01:37:03,215] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/hr/chrk2mp2nqfgclqhvczbmhv5iazuzeei5v5k4rfgb73d2tb5m5tf.py 2022-11-23T01:37:55.6859211Z [2022-11-23 01:37:03,216] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 476 2022-11-23T01:37:55.6859219Z 2022-11-23T01:37:55.6859315Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.6859385Z import torch 2022-11-23T01:37:55.6859456Z import random 2022-11-23T01:37:55.6859575Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.6859697Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.6859702Z 2022-11-23T01:37:55.6859784Z aten = torch.ops.aten 2022-11-23T01:37:55.6859906Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.6859999Z async_compile = AsyncCompile() 2022-11-23T01:37:55.6860004Z 2022-11-23T01:37:55.6860009Z 2022-11-23T01:37:55.6860150Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.6860356Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.6860481Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.6860589Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.6860690Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.6860753Z { 2022-11-23T01:37:55.6860817Z #pragma GCC ivdep 2022-11-23T01:37:55.6860965Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.6861031Z { 2022-11-23T01:37:55.6861115Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:37:55.6861179Z { 2022-11-23T01:37:55.6861331Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (10*i0)); 2022-11-23T01:37:55.6861467Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i1); 2022-11-23T01:37:55.6861541Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6861644Z tmp2.store(out_ptr0 + (8*i1) + (10*i0)); 2022-11-23T01:37:55.6861708Z } 2022-11-23T01:37:55.6861800Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.6861917Z for(long i1=8; i1<10; i1+=1) 2022-11-23T01:37:55.6861979Z { 2022-11-23T01:37:55.6862077Z auto tmp0 = in_ptr0[i1 + (10*i0)]; 2022-11-23T01:37:55.6862147Z auto tmp1 = in_ptr1[i1]; 2022-11-23T01:37:55.6862230Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6862321Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:37:55.6862386Z } 2022-11-23T01:37:55.6862451Z } 2022-11-23T01:37:55.6862514Z } 2022-11-23T01:37:55.6862598Z ''') 2022-11-23T01:37:55.6862603Z 2022-11-23T01:37:55.6862607Z 2022-11-23T01:37:55.6862683Z async_compile.wait(globals()) 2022-11-23T01:37:55.6862756Z del async_compile 2022-11-23T01:37:55.6862761Z 2022-11-23T01:37:55.6862833Z def call(args): 2022-11-23T01:37:55.6862911Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.6862985Z args.clear() 2022-11-23T01:37:55.6863189Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6863355Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.6863427Z del arg0_1 2022-11-23T01:37:55.6863482Z del arg1_1 2022-11-23T01:37:55.6863557Z return (buf0, ) 2022-11-23T01:37:55.6863562Z 2022-11-23T01:37:55.6863566Z 2022-11-23T01:37:55.6863643Z if __name__ == "__main__": 2022-11-23T01:37:55.6863760Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.6863884Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.6864089Z arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6864290Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6864393Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.6864412Z 2022-11-23T01:37:55.6864466Z ok (1.456s) 2022-11-23T01:37:55.6864820Z test_cpu_dense_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:03,223] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.6865099Z [2022-11-23 01:37:03,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.6865323Z [2022-11-23 01:37:03,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.6865583Z [2022-11-23 01:37:03,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.6865874Z [2022-11-23 01:37:03,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.6866199Z [2022-11-23 01:37:03,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.6866534Z [2022-11-23 01:37:03,224] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.6866629Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.6866709Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.6866783Z 4 BINARY_ADD 2022-11-23T01:37:55.6866871Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.6866946Z 8 RETURN_VALUE 2022-11-23T01:37:55.6867005Z 2022-11-23T01:37:55.6867010Z 2022-11-23T01:37:55.6867307Z [2022-11-23 01:37:03,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.6867524Z [2022-11-23 01:37:03,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.6867763Z [2022-11-23 01:37:03,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.6868028Z [2022-11-23 01:37:03,224] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.6868357Z [2022-11-23 01:37:03,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.6868647Z [2022-11-23 01:37:03,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6868988Z [2022-11-23 01:37:03,226] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.6869241Z [2022-11-23 01:37:03,226] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6869482Z [2022-11-23 01:37:03,226] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.6869740Z [2022-11-23 01:37:03,227] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.6869993Z [2022-11-23 01:37:03,231] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.6870184Z [2022-11-23 01:37:03,231] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6870305Z __compiled_fn_485 .3729 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6870397Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.6870486Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.6870667Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.6870762Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.6870767Z 2022-11-23T01:37:55.6871052Z [2022-11-23 01:37:03,232] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6871146Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6871239Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6871319Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.6871410Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.6871486Z 8 RETURN_VALUE 2022-11-23T01:37:55.6871492Z 2022-11-23T01:37:55.6871553Z 2022-11-23T01:37:55.6871832Z [2022-11-23 01:37:03,232] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6871943Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_485) 2022-11-23T01:37:55.6872034Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6872109Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6872186Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6872275Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6872362Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.6872436Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.6872526Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.6872630Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6872718Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6872805Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6872879Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.6872968Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.6873042Z 26 RETURN_VALUE 2022-11-23T01:37:55.6873047Z 2022-11-23T01:37:55.6873105Z 2022-11-23T01:37:55.6873289Z [2022-11-23 01:37:03,232] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6873362Z - 2022-11-23T01:37:55.6873470Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.6873565Z { 2022-11-23T01:37:55.6873711Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6873901Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.6874022Z 'obj_weakref': None 2022-11-23T01:37:55.6874248Z 'guarded_class': 2022-11-23T01:37:55.6874311Z } 2022-11-23T01:37:55.6874360Z 2022-11-23T01:37:55.6874429Z - 2022-11-23T01:37:55.6874557Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.6874620Z { 2022-11-23T01:37:55.6874814Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6874926Z 'code': None, 2022-11-23T01:37:55.6875144Z 'obj_weakref': 2022-11-23T01:37:55.6875390Z 'guarded_class': 2022-11-23T01:37:55.6875454Z } 2022-11-23T01:37:55.6875517Z 2022-11-23T01:37:55.6875588Z - 2022-11-23T01:37:55.6875713Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.6875775Z { 2022-11-23T01:37:55.6875918Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6876013Z 'code': None, 2022-11-23T01:37:55.6876227Z 'obj_weakref': 2022-11-23T01:37:55.6876485Z 'guarded_class': 2022-11-23T01:37:55.6876554Z } 2022-11-23T01:37:55.6876617Z 2022-11-23T01:37:55.6876689Z - 2022-11-23T01:37:55.6876822Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.6876873Z { 2022-11-23T01:37:55.6877009Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6877185Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.6877308Z 'obj_weakref': None 2022-11-23T01:37:55.6877540Z 'guarded_class': 2022-11-23T01:37:55.6877603Z } 2022-11-23T01:37:55.6877665Z 2022-11-23T01:37:55.6877721Z - 2022-11-23T01:37:55.6877843Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.6877906Z { 2022-11-23T01:37:55.6878044Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.6878266Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.6878390Z 'obj_weakref': None 2022-11-23T01:37:55.6878612Z 'guarded_class': 2022-11-23T01:37:55.6878663Z } 2022-11-23T01:37:55.6878724Z 2022-11-23T01:37:55.6878987Z [2022-11-23 01:37:03,238] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 477 2022-11-23T01:37:55.6879356Z [2022-11-23 01:37:04,672] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ct/ccteih6aupzyc3humc3gg475gtzhrp6ia2x5spltlxq7m2gxfg5b.py 2022-11-23T01:37:55.6879624Z [2022-11-23 01:37:04,673] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 477 2022-11-23T01:37:55.6879629Z 2022-11-23T01:37:55.6879722Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.6879791Z import torch 2022-11-23T01:37:55.6879858Z import random 2022-11-23T01:37:55.6879961Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.6880083Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.6880088Z 2022-11-23T01:37:55.6880163Z aten = torch.ops.aten 2022-11-23T01:37:55.6880296Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.6880389Z async_compile = AsyncCompile() 2022-11-23T01:37:55.6880394Z 2022-11-23T01:37:55.6880398Z 2022-11-23T01:37:55.6880565Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.6880773Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.6880895Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.6880987Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.6881087Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.6881147Z { 2022-11-23T01:37:55.6881223Z #pragma GCC ivdep 2022-11-23T01:37:55.6881302Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.6881362Z { 2022-11-23T01:37:55.6881443Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:37:55.6881529Z { 2022-11-23T01:37:55.6881677Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (10*i0)); 2022-11-23T01:37:55.6881802Z auto tmp1 = at::vec::Vectorized(in_ptr1[i0]); 2022-11-23T01:37:55.6881888Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6881989Z tmp2.store(out_ptr0 + (8*i1) + (10*i0)); 2022-11-23T01:37:55.6882051Z } 2022-11-23T01:37:55.6882140Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.6882207Z for(long i1=8; i1<10; i1+=1) 2022-11-23T01:37:55.6882267Z { 2022-11-23T01:37:55.6882363Z auto tmp0 = in_ptr0[i1 + (10*i0)]; 2022-11-23T01:37:55.6882446Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.6882525Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6882616Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:37:55.6882677Z } 2022-11-23T01:37:55.6882724Z } 2022-11-23T01:37:55.6882785Z } 2022-11-23T01:37:55.6882868Z ''') 2022-11-23T01:37:55.6882873Z 2022-11-23T01:37:55.6882877Z 2022-11-23T01:37:55.6882966Z async_compile.wait(globals()) 2022-11-23T01:37:55.6883038Z del async_compile 2022-11-23T01:37:55.6883043Z 2022-11-23T01:37:55.6883112Z def call(args): 2022-11-23T01:37:55.6883186Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.6883244Z args.clear() 2022-11-23T01:37:55.6883459Z buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6883622Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.6883690Z del arg0_1 2022-11-23T01:37:55.6883759Z del arg1_1 2022-11-23T01:37:55.6883828Z return (buf0, ) 2022-11-23T01:37:55.6883833Z 2022-11-23T01:37:55.6883837Z 2022-11-23T01:37:55.6883912Z if __name__ == "__main__": 2022-11-23T01:37:55.6884069Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.6884235Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.6884467Z arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6884676Z arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6884790Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.6884795Z 2022-11-23T01:37:55.6884863Z ok (1.457s) 2022-11-23T01:37:55.6885208Z test_cpu_dense_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:04,681] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.6885483Z [2022-11-23 01:37:04,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.6885704Z [2022-11-23 01:37:04,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.6885949Z [2022-11-23 01:37:04,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.6886240Z [2022-11-23 01:37:04,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.6886569Z [2022-11-23 01:37:04,681] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.6886938Z [2022-11-23 01:37:04,682] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.6887032Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.6887121Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.6887194Z 4 BINARY_ADD 2022-11-23T01:37:55.6887285Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.6887361Z 8 RETURN_VALUE 2022-11-23T01:37:55.6887409Z 2022-11-23T01:37:55.6887414Z 2022-11-23T01:37:55.6887684Z [2022-11-23 01:37:04,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.6887930Z [2022-11-23 01:37:04,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.6888171Z [2022-11-23 01:37:04,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.6888448Z [2022-11-23 01:37:04,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.6888691Z [2022-11-23 01:37:04,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.6888940Z [2022-11-23 01:37:04,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6889278Z [2022-11-23 01:37:04,683] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.6889525Z [2022-11-23 01:37:04,684] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6889755Z [2022-11-23 01:37:04,684] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.6890008Z [2022-11-23 01:37:04,685] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.6890262Z [2022-11-23 01:37:04,688] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.6890454Z [2022-11-23 01:37:04,688] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6890589Z __compiled_fn_486 .3735 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6890677Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.6890763Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.6890944Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.6891028Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.6891033Z 2022-11-23T01:37:55.6891310Z [2022-11-23 01:37:04,689] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6891405Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6891498Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6891591Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.6891681Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.6891761Z 8 RETURN_VALUE 2022-11-23T01:37:55.6891767Z 2022-11-23T01:37:55.6891826Z 2022-11-23T01:37:55.6892087Z [2022-11-23 01:37:04,689] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6892199Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_486) 2022-11-23T01:37:55.6892289Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6892376Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6892452Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6892540Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6892629Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.6892690Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.6892777Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.6892880Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6893007Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6893098Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6893173Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.6893260Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.6893323Z 26 RETURN_VALUE 2022-11-23T01:37:55.6893339Z 2022-11-23T01:37:55.6893386Z 2022-11-23T01:37:55.6893573Z [2022-11-23 01:37:04,690] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6893646Z - 2022-11-23T01:37:55.6893766Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.6893829Z { 2022-11-23T01:37:55.6893970Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6894180Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.6894303Z 'obj_weakref': None 2022-11-23T01:37:55.6894531Z 'guarded_class': 2022-11-23T01:37:55.6894595Z } 2022-11-23T01:37:55.6894661Z 2022-11-23T01:37:55.6894731Z - 2022-11-23T01:37:55.6894857Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.6894908Z { 2022-11-23T01:37:55.6895055Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6895164Z 'code': None, 2022-11-23T01:37:55.6895380Z 'obj_weakref': 2022-11-23T01:37:55.6895636Z 'guarded_class': 2022-11-23T01:37:55.6895699Z } 2022-11-23T01:37:55.6895763Z 2022-11-23T01:37:55.6895820Z - 2022-11-23T01:37:55.6895945Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.6896008Z { 2022-11-23T01:37:55.6896151Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6896261Z 'code': None, 2022-11-23T01:37:55.6896479Z 'obj_weakref': 2022-11-23T01:37:55.6896735Z 'guarded_class': 2022-11-23T01:37:55.6896798Z } 2022-11-23T01:37:55.6896847Z 2022-11-23T01:37:55.6896917Z - 2022-11-23T01:37:55.6897048Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.6897112Z { 2022-11-23T01:37:55.6897248Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6897421Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.6897530Z 'obj_weakref': None 2022-11-23T01:37:55.6897764Z 'guarded_class': 2022-11-23T01:37:55.6897828Z } 2022-11-23T01:37:55.6897890Z 2022-11-23T01:37:55.6897960Z - 2022-11-23T01:37:55.6898083Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.6898148Z { 2022-11-23T01:37:55.6898276Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.6898496Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.6898620Z 'obj_weakref': None 2022-11-23T01:37:55.6899025Z 'guarded_class': 2022-11-23T01:37:55.6899128Z } 2022-11-23T01:37:55.6899207Z 2022-11-23T01:37:55.6899482Z [2022-11-23 01:37:04,696] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 478 2022-11-23T01:37:55.6899860Z [2022-11-23 01:37:06,131] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nc/cncvuvknzusx23nuc3zbqs64xyssk5t4cqwheeqwpsvb7ociy55l.py 2022-11-23T01:37:55.6900117Z [2022-11-23 01:37:06,132] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 478 2022-11-23T01:37:55.6900139Z 2022-11-23T01:37:55.6900220Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.6900350Z import torch 2022-11-23T01:37:55.6900424Z import random 2022-11-23T01:37:55.6900541Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.6900663Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.6900668Z 2022-11-23T01:37:55.6900746Z aten = torch.ops.aten 2022-11-23T01:37:55.6900881Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.6900960Z async_compile = AsyncCompile() 2022-11-23T01:37:55.6900965Z 2022-11-23T01:37:55.6900969Z 2022-11-23T01:37:55.6901107Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.6901318Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.6901483Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.6901590Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.6901690Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.6901753Z { 2022-11-23T01:37:55.6901837Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:37:55.6901886Z { 2022-11-23T01:37:55.6902026Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.6902148Z auto tmp1 = at::vec::Vectorized(in_ptr1[0]); 2022-11-23T01:37:55.6902234Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6902325Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.6902388Z } 2022-11-23T01:37:55.6902478Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.6902546Z for(long i0=96; i0<100; i0+=1) 2022-11-23T01:37:55.6902608Z { 2022-11-23T01:37:55.6902690Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.6902774Z auto tmp1 = in_ptr1[0]; 2022-11-23T01:37:55.6902856Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6902935Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.6902983Z } 2022-11-23T01:37:55.6903042Z } 2022-11-23T01:37:55.6903126Z ''') 2022-11-23T01:37:55.6903131Z 2022-11-23T01:37:55.6903135Z 2022-11-23T01:37:55.6903225Z async_compile.wait(globals()) 2022-11-23T01:37:55.6903299Z del async_compile 2022-11-23T01:37:55.6903303Z 2022-11-23T01:37:55.6903375Z def call(args): 2022-11-23T01:37:55.6903450Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.6903524Z args.clear() 2022-11-23T01:37:55.6903715Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6903881Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.6903950Z del arg0_1 2022-11-23T01:37:55.6904017Z del arg1_1 2022-11-23T01:37:55.6904088Z return (buf0, ) 2022-11-23T01:37:55.6904095Z 2022-11-23T01:37:55.6904099Z 2022-11-23T01:37:55.6904173Z if __name__ == "__main__": 2022-11-23T01:37:55.6904285Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.6904396Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.6904604Z arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6904800Z arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6904916Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.6904921Z 2022-11-23T01:37:55.6904991Z ok (1.459s) 2022-11-23T01:37:55.6905327Z test_cpu_dense_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:06,140] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.6905603Z [2022-11-23 01:37:06,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.6905825Z [2022-11-23 01:37:06,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.6906084Z [2022-11-23 01:37:06,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.6906358Z [2022-11-23 01:37:06,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.6906714Z [2022-11-23 01:37:06,140] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.6907051Z [2022-11-23 01:37:06,141] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.6907144Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.6907232Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.6907305Z 4 BINARY_ADD 2022-11-23T01:37:55.6907393Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.6907504Z 8 RETURN_VALUE 2022-11-23T01:37:55.6907552Z 2022-11-23T01:37:55.6907558Z 2022-11-23T01:37:55.6907827Z [2022-11-23 01:37:06,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.6908042Z [2022-11-23 01:37:06,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.6908378Z [2022-11-23 01:37:06,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.6908657Z [2022-11-23 01:37:06,141] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.6908904Z [2022-11-23 01:37:06,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.6909151Z [2022-11-23 01:37:06,142] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6909493Z [2022-11-23 01:37:06,143] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.6909748Z [2022-11-23 01:37:06,143] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6909989Z [2022-11-23 01:37:06,143] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.6910234Z [2022-11-23 01:37:06,144] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.6910485Z [2022-11-23 01:37:06,147] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.6910678Z [2022-11-23 01:37:06,148] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6910812Z __compiled_fn_487 .3741 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6910902Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.6910991Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.6911177Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.6911261Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.6911279Z 2022-11-23T01:37:55.6911546Z [2022-11-23 01:37:06,148] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6911643Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6911734Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6911828Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.6911918Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.6911995Z 8 RETURN_VALUE 2022-11-23T01:37:55.6912001Z 2022-11-23T01:37:55.6912061Z 2022-11-23T01:37:55.6912326Z [2022-11-23 01:37:06,148] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6912435Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_487) 2022-11-23T01:37:55.6912526Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6912613Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6912690Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6912778Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6912864Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.6912974Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.6913051Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.6913154Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6913256Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6913343Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6913419Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.6913507Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.6913581Z 26 RETURN_VALUE 2022-11-23T01:37:55.6913586Z 2022-11-23T01:37:55.6913633Z 2022-11-23T01:37:55.6913818Z [2022-11-23 01:37:06,149] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6913922Z - 2022-11-23T01:37:55.6914046Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.6914109Z { 2022-11-23T01:37:55.6914253Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6914444Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.6914555Z 'obj_weakref': None 2022-11-23T01:37:55.6914780Z 'guarded_class': 2022-11-23T01:37:55.6914846Z } 2022-11-23T01:37:55.6914909Z 2022-11-23T01:37:55.6914981Z - 2022-11-23T01:37:55.6915107Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.6915170Z { 2022-11-23T01:37:55.6915300Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6915408Z 'code': None, 2022-11-23T01:37:55.6915623Z 'obj_weakref': 2022-11-23T01:37:55.6915883Z 'guarded_class': 2022-11-23T01:37:55.6915949Z } 2022-11-23T01:37:55.6916012Z 2022-11-23T01:37:55.6916081Z - 2022-11-23T01:37:55.6916192Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.6916259Z { 2022-11-23T01:37:55.6916403Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6916511Z 'code': None, 2022-11-23T01:37:55.6916721Z 'obj_weakref': 2022-11-23T01:37:55.6916977Z 'guarded_class': 2022-11-23T01:37:55.6917041Z } 2022-11-23T01:37:55.6917091Z 2022-11-23T01:37:55.6917159Z - 2022-11-23T01:37:55.6917295Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.6917366Z { 2022-11-23T01:37:55.6917502Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6917673Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.6917795Z 'obj_weakref': None 2022-11-23T01:37:55.6918015Z 'guarded_class': 2022-11-23T01:37:55.6918084Z } 2022-11-23T01:37:55.6918148Z 2022-11-23T01:37:55.6918219Z - 2022-11-23T01:37:55.6918341Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.6918403Z { 2022-11-23T01:37:55.6918543Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.6918749Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.6918867Z 'obj_weakref': None 2022-11-23T01:37:55.6919089Z 'guarded_class': 2022-11-23T01:37:55.6919154Z } 2022-11-23T01:37:55.6919217Z 2022-11-23T01:37:55.6919479Z [2022-11-23 01:37:06,155] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 479 2022-11-23T01:37:55.6919884Z [2022-11-23 01:37:07,610] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kx/ckxikvbjg7bkgzqzyg64qngw7knluuibbr7vrrilue7xp3yov6j5.py 2022-11-23T01:37:55.6920152Z [2022-11-23 01:37:07,611] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 479 2022-11-23T01:37:55.6920157Z 2022-11-23T01:37:55.6920240Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.6920309Z import torch 2022-11-23T01:37:55.6920377Z import random 2022-11-23T01:37:55.6920491Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.6920611Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.6920616Z 2022-11-23T01:37:55.6920695Z aten = torch.ops.aten 2022-11-23T01:37:55.6920831Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.6920961Z async_compile = AsyncCompile() 2022-11-23T01:37:55.6920979Z 2022-11-23T01:37:55.6920983Z 2022-11-23T01:37:55.6921107Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.6921312Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.6921435Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.6921539Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.6921638Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.6921699Z { 2022-11-23T01:37:55.6921780Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:37:55.6921829Z { 2022-11-23T01:37:55.6921965Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.6922094Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.6922178Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6922266Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.6922332Z } 2022-11-23T01:37:55.6922420Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.6922488Z for(long i0=96; i0<100; i0+=1) 2022-11-23T01:37:55.6922551Z { 2022-11-23T01:37:55.6922633Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.6922713Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.6922794Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6922871Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.6922931Z } 2022-11-23T01:37:55.6922976Z } 2022-11-23T01:37:55.6923056Z ''') 2022-11-23T01:37:55.6923062Z 2022-11-23T01:37:55.6923066Z 2022-11-23T01:37:55.6923155Z async_compile.wait(globals()) 2022-11-23T01:37:55.6923226Z del async_compile 2022-11-23T01:37:55.6923231Z 2022-11-23T01:37:55.6923300Z def call(args): 2022-11-23T01:37:55.6923373Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.6923444Z args.clear() 2022-11-23T01:37:55.6923634Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6923801Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.6923867Z del arg0_1 2022-11-23T01:37:55.6923933Z del arg1_1 2022-11-23T01:37:55.6924001Z return (buf0, ) 2022-11-23T01:37:55.6924006Z 2022-11-23T01:37:55.6924010Z 2022-11-23T01:37:55.6924083Z if __name__ == "__main__": 2022-11-23T01:37:55.6924198Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.6924319Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.6924510Z arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6924707Z arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6924822Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.6924827Z 2022-11-23T01:37:55.6924892Z ok (1.479s) 2022-11-23T01:37:55.6925232Z test_cpu_dense_double (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:07,619] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.6925506Z [2022-11-23 01:37:07,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.6925729Z [2022-11-23 01:37:07,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.6926016Z [2022-11-23 01:37:07,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.6926308Z [2022-11-23 01:37:07,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.6926621Z [2022-11-23 01:37:07,619] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.6926955Z [2022-11-23 01:37:07,619] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.6927080Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.6927171Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.6927244Z 4 BINARY_ADD 2022-11-23T01:37:55.6927332Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.6927406Z 8 RETURN_VALUE 2022-11-23T01:37:55.6927466Z 2022-11-23T01:37:55.6927473Z 2022-11-23T01:37:55.6927734Z [2022-11-23 01:37:07,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.6927944Z [2022-11-23 01:37:07,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.6928184Z [2022-11-23 01:37:07,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.6928460Z [2022-11-23 01:37:07,620] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.6928705Z [2022-11-23 01:37:07,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.6928957Z [2022-11-23 01:37:07,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6929298Z [2022-11-23 01:37:07,621] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.6929546Z [2022-11-23 01:37:07,621] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6929783Z [2022-11-23 01:37:07,622] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.6930025Z [2022-11-23 01:37:07,623] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.6930276Z [2022-11-23 01:37:07,626] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.6930465Z [2022-11-23 01:37:07,627] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6930602Z __compiled_fn_488 .3747 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6930691Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.6930777Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.6930956Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.6931052Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.6931058Z 2022-11-23T01:37:55.6931335Z [2022-11-23 01:37:07,627] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6931416Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6931505Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6931598Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.6931688Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.6931763Z 8 RETURN_VALUE 2022-11-23T01:37:55.6931769Z 2022-11-23T01:37:55.6931830Z 2022-11-23T01:37:55.6932104Z [2022-11-23 01:37:07,627] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6932201Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_488) 2022-11-23T01:37:55.6932289Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6932406Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6932484Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6932572Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6932659Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.6932734Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.6932809Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.6932913Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6933013Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6933103Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6933210Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.6933296Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.6933370Z 26 RETURN_VALUE 2022-11-23T01:37:55.6933375Z 2022-11-23T01:37:55.6933434Z 2022-11-23T01:37:55.6933607Z [2022-11-23 01:37:07,628] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6933678Z - 2022-11-23T01:37:55.6933802Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.6933867Z { 2022-11-23T01:37:55.6934007Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6934198Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.6934320Z 'obj_weakref': None 2022-11-23T01:37:55.6934532Z 'guarded_class': 2022-11-23T01:37:55.6934597Z } 2022-11-23T01:37:55.6934661Z 2022-11-23T01:37:55.6934732Z - 2022-11-23T01:37:55.6934858Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.6934922Z { 2022-11-23T01:37:55.6935069Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6935165Z 'code': None, 2022-11-23T01:37:55.6935380Z 'obj_weakref': 2022-11-23T01:37:55.6935636Z 'guarded_class': 2022-11-23T01:37:55.6935701Z } 2022-11-23T01:37:55.6935766Z 2022-11-23T01:37:55.6935838Z - 2022-11-23T01:37:55.6935964Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.6936014Z { 2022-11-23T01:37:55.6936159Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6936267Z 'code': None, 2022-11-23T01:37:55.6936481Z 'obj_weakref': 2022-11-23T01:37:55.6936736Z 'guarded_class': 2022-11-23T01:37:55.6936801Z } 2022-11-23T01:37:55.6936863Z 2022-11-23T01:37:55.6936923Z - 2022-11-23T01:37:55.6937055Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.6937118Z { 2022-11-23T01:37:55.6937254Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6937427Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.6937551Z 'obj_weakref': None 2022-11-23T01:37:55.6937783Z 'guarded_class': 2022-11-23T01:37:55.6937834Z } 2022-11-23T01:37:55.6937895Z 2022-11-23T01:37:55.6937968Z - 2022-11-23T01:37:55.6938093Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.6938157Z { 2022-11-23T01:37:55.6938299Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.6938520Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.6938631Z 'obj_weakref': None 2022-11-23T01:37:55.6939059Z 'guarded_class': 2022-11-23T01:37:55.6939147Z } 2022-11-23T01:37:55.6939214Z 2022-11-23T01:37:55.6939553Z [2022-11-23 01:37:07,634] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 480 2022-11-23T01:37:55.6939925Z [2022-11-23 01:37:09,024] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3b/c3buu2ffivlz4y4bbtrmvrw4in64ovy2jdcx5g56csz5raonbtxy.py 2022-11-23T01:37:55.6940196Z [2022-11-23 01:37:09,025] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 480 2022-11-23T01:37:55.6940202Z 2022-11-23T01:37:55.6940298Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.6940354Z import torch 2022-11-23T01:37:55.6940424Z import random 2022-11-23T01:37:55.6940541Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.6940708Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.6940713Z 2022-11-23T01:37:55.6940793Z aten = torch.ops.aten 2022-11-23T01:37:55.6940930Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.6941023Z async_compile = AsyncCompile() 2022-11-23T01:37:55.6941031Z 2022-11-23T01:37:55.6941035Z 2022-11-23T01:37:55.6941174Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.6941370Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.6941491Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.6941601Z const double* __restrict__ in_ptr1, 2022-11-23T01:37:55.6941703Z double* __restrict__ out_ptr0) 2022-11-23T01:37:55.6941765Z { 2022-11-23T01:37:55.6941844Z #pragma GCC ivdep 2022-11-23T01:37:55.6941927Z for(long i0=0; i0<100; i0+=1) 2022-11-23T01:37:55.6941979Z { 2022-11-23T01:37:55.6942043Z { 2022-11-23T01:37:55.6942109Z { 2022-11-23T01:37:55.6942202Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.6942293Z auto tmp2 = in_ptr1[i0]; 2022-11-23T01:37:55.6942401Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:37:55.6942492Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:37:55.6942564Z out_ptr0[i0] = tmp3; 2022-11-23T01:37:55.6942628Z } 2022-11-23T01:37:55.6942697Z } 2022-11-23T01:37:55.6942759Z } 2022-11-23T01:37:55.6942819Z } 2022-11-23T01:37:55.6942901Z ''') 2022-11-23T01:37:55.6942906Z 2022-11-23T01:37:55.6942910Z 2022-11-23T01:37:55.6943000Z async_compile.wait(globals()) 2022-11-23T01:37:55.6943059Z del async_compile 2022-11-23T01:37:55.6943064Z 2022-11-23T01:37:55.6943134Z def call(args): 2022-11-23T01:37:55.6943212Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.6943286Z args.clear() 2022-11-23T01:37:55.6943491Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:37:55.6943659Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.6943729Z del arg0_1 2022-11-23T01:37:55.6943782Z del arg1_1 2022-11-23T01:37:55.6943853Z return (buf0, ) 2022-11-23T01:37:55.6943858Z 2022-11-23T01:37:55.6943865Z 2022-11-23T01:37:55.6943942Z if __name__ == "__main__": 2022-11-23T01:37:55.6944054Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.6944176Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.6944378Z arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6944583Z arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:37:55.6944697Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.6944702Z 2022-11-23T01:37:55.6944755Z ok (1.414s) 2022-11-23T01:37:55.6945091Z test_cpu_dense_int (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:09,033] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.6945362Z [2022-11-23 01:37:09,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.6945614Z [2022-11-23 01:37:09,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.6945873Z [2022-11-23 01:37:09,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.6946163Z [2022-11-23 01:37:09,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.6946491Z [2022-11-23 01:37:09,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.6946826Z [2022-11-23 01:37:09,033] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.6946949Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.6947028Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.6947100Z 4 BINARY_ADD 2022-11-23T01:37:55.6947190Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.6947267Z 8 RETURN_VALUE 2022-11-23T01:37:55.6947327Z 2022-11-23T01:37:55.6947332Z 2022-11-23T01:37:55.6947606Z [2022-11-23 01:37:09,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.6947818Z [2022-11-23 01:37:09,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.6948059Z [2022-11-23 01:37:09,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.6948423Z [2022-11-23 01:37:09,033] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.6948671Z [2022-11-23 01:37:09,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.6948921Z [2022-11-23 01:37:09,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6949263Z [2022-11-23 01:37:09,035] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.6949512Z [2022-11-23 01:37:09,035] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6949749Z [2022-11-23 01:37:09,035] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.6950005Z [2022-11-23 01:37:09,037] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.6950259Z [2022-11-23 01:37:09,043] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.6950455Z [2022-11-23 01:37:09,043] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6950578Z __compiled_fn_489 .3753 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6950668Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.6950753Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.6950939Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.6951034Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.6951040Z 2022-11-23T01:37:55.6951319Z [2022-11-23 01:37:09,043] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6951413Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6951503Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6951584Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.6951674Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.6951750Z 8 RETURN_VALUE 2022-11-23T01:37:55.6951758Z 2022-11-23T01:37:55.6951818Z 2022-11-23T01:37:55.6952092Z [2022-11-23 01:37:09,044] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6952199Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_489) 2022-11-23T01:37:55.6952362Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6952453Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6952516Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6952603Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6952692Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.6952770Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.6952859Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.6952964Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6953065Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6953169Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6953246Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.6953333Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.6953409Z 26 RETURN_VALUE 2022-11-23T01:37:55.6953414Z 2022-11-23T01:37:55.6953475Z 2022-11-23T01:37:55.6953664Z [2022-11-23 01:37:09,044] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6953739Z - 2022-11-23T01:37:55.6953847Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.6953913Z { 2022-11-23T01:37:55.6954054Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6954242Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.6954363Z 'obj_weakref': None 2022-11-23T01:37:55.6954588Z 'guarded_class': 2022-11-23T01:37:55.6954652Z } 2022-11-23T01:37:55.6954702Z 2022-11-23T01:37:55.6954774Z - 2022-11-23T01:37:55.6954900Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.6954963Z { 2022-11-23T01:37:55.6955107Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6955216Z 'code': None, 2022-11-23T01:37:55.6955430Z 'obj_weakref': 2022-11-23T01:37:55.6955676Z 'guarded_class': 2022-11-23T01:37:55.6955740Z } 2022-11-23T01:37:55.6955804Z 2022-11-23T01:37:55.6955876Z - 2022-11-23T01:37:55.6956000Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.6956063Z { 2022-11-23T01:37:55.6956207Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6956302Z 'code': None, 2022-11-23T01:37:55.6956515Z 'obj_weakref': 2022-11-23T01:37:55.6956774Z 'guarded_class': 2022-11-23T01:37:55.6956839Z } 2022-11-23T01:37:55.6956902Z 2022-11-23T01:37:55.6956972Z - 2022-11-23T01:37:55.6957107Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.6957157Z { 2022-11-23T01:37:55.6957294Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6957467Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.6957588Z 'obj_weakref': None 2022-11-23T01:37:55.6957820Z 'guarded_class': 2022-11-23T01:37:55.6957885Z } 2022-11-23T01:37:55.6957948Z 2022-11-23T01:37:55.6958005Z - 2022-11-23T01:37:55.6958127Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.6958192Z { 2022-11-23T01:37:55.6958330Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.6958552Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.6958672Z 'obj_weakref': None 2022-11-23T01:37:55.6958897Z 'guarded_class': 2022-11-23T01:37:55.6958948Z } 2022-11-23T01:37:55.6959038Z 2022-11-23T01:37:55.6959304Z [2022-11-23 01:37:09,050] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 481 2022-11-23T01:37:55.6959676Z [2022-11-23 01:37:10,420] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/oj/cojvyabqrdhu4nphsgfu7y4ifsfbg6dbtj6w4743wykgtt463ier.py 2022-11-23T01:37:55.6959942Z [2022-11-23 01:37:10,420] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 481 2022-11-23T01:37:55.6959948Z 2022-11-23T01:37:55.6960040Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.6960110Z import torch 2022-11-23T01:37:55.6960207Z import random 2022-11-23T01:37:55.6960309Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.6960429Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.6960434Z 2022-11-23T01:37:55.6960512Z aten = torch.ops.aten 2022-11-23T01:37:55.6960646Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.6960740Z async_compile = AsyncCompile() 2022-11-23T01:37:55.6960745Z 2022-11-23T01:37:55.6960749Z 2022-11-23T01:37:55.6960886Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.6961091Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.6961210Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.6961300Z const int* __restrict__ in_ptr1, 2022-11-23T01:37:55.6961399Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.6961458Z { 2022-11-23T01:37:55.6961534Z #pragma GCC ivdep 2022-11-23T01:37:55.6961618Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.6961677Z { 2022-11-23T01:37:55.6961755Z #pragma GCC ivdep 2022-11-23T01:37:55.6961824Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:37:55.6961886Z { 2022-11-23T01:37:55.6961947Z { 2022-11-23T01:37:55.6962010Z { 2022-11-23T01:37:55.6962112Z auto tmp0 = in_ptr0[i1 + (10*i0)]; 2022-11-23T01:37:55.6962205Z auto tmp1 = in_ptr1[i1]; 2022-11-23T01:37:55.6962312Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:37:55.6962392Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:37:55.6962483Z out_ptr0[i1 + (10*i0)] = tmp3; 2022-11-23T01:37:55.6962548Z } 2022-11-23T01:37:55.6962611Z } 2022-11-23T01:37:55.6962673Z } 2022-11-23T01:37:55.6962732Z } 2022-11-23T01:37:55.6962779Z } 2022-11-23T01:37:55.6962856Z ''') 2022-11-23T01:37:55.6962862Z 2022-11-23T01:37:55.6962868Z 2022-11-23T01:37:55.6962958Z async_compile.wait(globals()) 2022-11-23T01:37:55.6963031Z del async_compile 2022-11-23T01:37:55.6963035Z 2022-11-23T01:37:55.6963104Z def call(args): 2022-11-23T01:37:55.6963178Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.6963248Z args.clear() 2022-11-23T01:37:55.6963451Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6963603Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.6963670Z del arg0_1 2022-11-23T01:37:55.6963735Z del arg1_1 2022-11-23T01:37:55.6963806Z return (buf0, ) 2022-11-23T01:37:55.6963811Z 2022-11-23T01:37:55.6963815Z 2022-11-23T01:37:55.6963889Z if __name__ == "__main__": 2022-11-23T01:37:55.6964001Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.6964122Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.6964325Z arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6964507Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:37:55.6964622Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.6964627Z 2022-11-23T01:37:55.6964694Z ok (1.395s) 2022-11-23T01:37:55.6965062Z test_cpu_dense_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:10,429] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.6965342Z [2022-11-23 01:37:10,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.6965565Z [2022-11-23 01:37:10,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.6965821Z [2022-11-23 01:37:10,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.6966111Z [2022-11-23 01:37:10,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.6966482Z [2022-11-23 01:37:10,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.6966806Z [2022-11-23 01:37:10,429] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.6966899Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.6966988Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.6967060Z 4 BINARY_ADD 2022-11-23T01:37:55.6967148Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.6967224Z 8 RETURN_VALUE 2022-11-23T01:37:55.6967283Z 2022-11-23T01:37:55.6967288Z 2022-11-23T01:37:55.6967556Z [2022-11-23 01:37:10,429] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.6967755Z [2022-11-23 01:37:10,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.6967998Z [2022-11-23 01:37:10,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.6968276Z [2022-11-23 01:37:10,430] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.6968523Z [2022-11-23 01:37:10,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.6968771Z [2022-11-23 01:37:10,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6969107Z [2022-11-23 01:37:10,431] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.6969352Z [2022-11-23 01:37:10,431] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6969589Z [2022-11-23 01:37:10,431] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.6969849Z [2022-11-23 01:37:10,432] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.6970086Z [2022-11-23 01:37:10,436] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.6970281Z [2022-11-23 01:37:10,436] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6970416Z __compiled_fn_490 .3759 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6970507Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.6970593Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.6970775Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.6970871Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.6970876Z 2022-11-23T01:37:55.6971156Z [2022-11-23 01:37:10,437] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6971240Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6971330Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6971424Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.6971513Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.6971589Z 8 RETURN_VALUE 2022-11-23T01:37:55.6971595Z 2022-11-23T01:37:55.6971680Z 2022-11-23T01:37:55.6971959Z [2022-11-23 01:37:10,437] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6972070Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_490) 2022-11-23T01:37:55.6972146Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6972235Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6972311Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6972399Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6972487Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.6972593Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.6972680Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.6972772Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6972873Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6972962Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6973040Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.6973127Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.6973200Z 26 RETURN_VALUE 2022-11-23T01:37:55.6973205Z 2022-11-23T01:37:55.6973264Z 2022-11-23T01:37:55.6973438Z [2022-11-23 01:37:10,438] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6973507Z - 2022-11-23T01:37:55.6973630Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.6973694Z { 2022-11-23T01:37:55.6973838Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6974029Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.6974153Z 'obj_weakref': None 2022-11-23T01:37:55.6974367Z 'guarded_class': 2022-11-23T01:37:55.6974430Z } 2022-11-23T01:37:55.6974493Z 2022-11-23T01:37:55.6974563Z - 2022-11-23T01:37:55.6974693Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.6974758Z { 2022-11-23T01:37:55.6974902Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6974999Z 'code': None, 2022-11-23T01:37:55.6975213Z 'obj_weakref': 2022-11-23T01:37:55.6975467Z 'guarded_class': 2022-11-23T01:37:55.6975531Z } 2022-11-23T01:37:55.6975592Z 2022-11-23T01:37:55.6975664Z - 2022-11-23T01:37:55.6975788Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.6975841Z { 2022-11-23T01:37:55.6975983Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6976093Z 'code': None, 2022-11-23T01:37:55.6976306Z 'obj_weakref': 2022-11-23T01:37:55.6976563Z 'guarded_class': 2022-11-23T01:37:55.6976627Z } 2022-11-23T01:37:55.6976689Z 2022-11-23T01:37:55.6976747Z - 2022-11-23T01:37:55.6976878Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.6976941Z { 2022-11-23T01:37:55.6977076Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6977251Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.6977377Z 'obj_weakref': None 2022-11-23T01:37:55.6977608Z 'guarded_class': 2022-11-23T01:37:55.6977662Z } 2022-11-23T01:37:55.6977726Z 2022-11-23T01:37:55.6977798Z - 2022-11-23T01:37:55.6977922Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.6977988Z { 2022-11-23T01:37:55.6978126Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.6978370Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.6978482Z 'obj_weakref': None 2022-11-23T01:37:55.6978706Z 'guarded_class': 2022-11-23T01:37:55.6978938Z } 2022-11-23T01:37:55.6979039Z 2022-11-23T01:37:55.6979352Z [2022-11-23 01:37:10,444] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 482 2022-11-23T01:37:55.6979727Z [2022-11-23 01:37:11,823] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pa/cpatud5px3n63eokewpm76efjt2rbxofn2gkxdm4f5x64hcmniua.py 2022-11-23T01:37:55.6980058Z [2022-11-23 01:37:11,823] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 482 2022-11-23T01:37:55.6980064Z 2022-11-23T01:37:55.6980161Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.6980217Z import torch 2022-11-23T01:37:55.6980287Z import random 2022-11-23T01:37:55.6980406Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.6980528Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.6980533Z 2022-11-23T01:37:55.6980613Z aten = torch.ops.aten 2022-11-23T01:37:55.6980746Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.6980838Z async_compile = AsyncCompile() 2022-11-23T01:37:55.6980843Z 2022-11-23T01:37:55.6980847Z 2022-11-23T01:37:55.6980983Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.6981175Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.6981299Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.6981404Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.6981505Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.6981567Z { 2022-11-23T01:37:55.6981646Z #pragma GCC ivdep 2022-11-23T01:37:55.6981728Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.6981778Z { 2022-11-23T01:37:55.6981857Z #pragma GCC ivdep 2022-11-23T01:37:55.6981942Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:37:55.6982011Z { 2022-11-23T01:37:55.6982080Z { 2022-11-23T01:37:55.6982152Z { 2022-11-23T01:37:55.6982252Z auto tmp0 = in_ptr0[i1 + (10*i0)]; 2022-11-23T01:37:55.6982341Z auto tmp1 = in_ptr1[(2*i1) + (30*i0)]; 2022-11-23T01:37:55.6982434Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.6982529Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:37:55.6982597Z } 2022-11-23T01:37:55.6982663Z } 2022-11-23T01:37:55.6982728Z } 2022-11-23T01:37:55.6982791Z } 2022-11-23T01:37:55.6982838Z } 2022-11-23T01:37:55.6982919Z ''') 2022-11-23T01:37:55.6982925Z 2022-11-23T01:37:55.6982929Z 2022-11-23T01:37:55.6983020Z async_compile.wait(globals()) 2022-11-23T01:37:55.6983092Z del async_compile 2022-11-23T01:37:55.6983100Z 2022-11-23T01:37:55.6983169Z def call(args): 2022-11-23T01:37:55.6983245Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.6983318Z args.clear() 2022-11-23T01:37:55.6983507Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6983674Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.6983743Z del arg0_1 2022-11-23T01:37:55.6983811Z del arg1_1 2022-11-23T01:37:55.6983882Z return (buf0, ) 2022-11-23T01:37:55.6983887Z 2022-11-23T01:37:55.6983891Z 2022-11-23T01:37:55.6983968Z if __name__ == "__main__": 2022-11-23T01:37:55.6984085Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.6984209Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.6984401Z arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6984639Z arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.6984758Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.6984763Z 2022-11-23T01:37:55.6984829Z ok (1.403s) 2022-11-23T01:37:55.6985179Z test_cpu_dense_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:11,832] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.6985456Z [2022-11-23 01:37:11,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.6985678Z [2022-11-23 01:37:11,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.6985971Z [2022-11-23 01:37:11,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.6986260Z [2022-11-23 01:37:11,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.6986575Z [2022-11-23 01:37:11,832] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.6986906Z [2022-11-23 01:37:11,832] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.6986997Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.6987089Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.6987161Z 4 BINARY_ADD 2022-11-23T01:37:55.6987249Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.6987324Z 8 RETURN_VALUE 2022-11-23T01:37:55.6987387Z 2022-11-23T01:37:55.6987392Z 2022-11-23T01:37:55.6987646Z [2022-11-23 01:37:11,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.6987858Z [2022-11-23 01:37:11,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.6988167Z [2022-11-23 01:37:11,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.6988458Z [2022-11-23 01:37:11,833] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.6988701Z [2022-11-23 01:37:11,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.6988951Z [2022-11-23 01:37:11,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6989286Z [2022-11-23 01:37:11,834] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.6989536Z [2022-11-23 01:37:11,834] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.6989775Z [2022-11-23 01:37:11,834] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.6990021Z [2022-11-23 01:37:11,835] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.6990276Z [2022-11-23 01:37:11,839] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.6990466Z [2022-11-23 01:37:11,840] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.6990601Z __compiled_fn_491 .3765 opcode, name, target, args, kwargs 2022-11-23T01:37:55.6990693Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.6990781Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.6990963Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.6991062Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.6991067Z 2022-11-23T01:37:55.6991331Z [2022-11-23 01:37:11,840] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6991426Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.6991550Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6991647Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.6991738Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.6991814Z 8 RETURN_VALUE 2022-11-23T01:37:55.6991819Z 2022-11-23T01:37:55.6991878Z 2022-11-23T01:37:55.6992153Z [2022-11-23 01:37:11,840] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.6992251Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_491) 2022-11-23T01:37:55.6992343Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6992432Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6992543Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.6992630Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.6992717Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.6992793Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.6992868Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.6992974Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6993076Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.6993165Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.6993242Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.6993328Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.6993404Z 26 RETURN_VALUE 2022-11-23T01:37:55.6993409Z 2022-11-23T01:37:55.6993455Z 2022-11-23T01:37:55.6993639Z [2022-11-23 01:37:11,841] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.6993710Z - 2022-11-23T01:37:55.6993836Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.6993899Z { 2022-11-23T01:37:55.6994040Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.6994229Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.6994338Z 'obj_weakref': None 2022-11-23T01:37:55.6994567Z 'guarded_class': 2022-11-23T01:37:55.6994633Z } 2022-11-23T01:37:55.6994697Z 2022-11-23T01:37:55.6994767Z - 2022-11-23T01:37:55.6994895Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.6994958Z { 2022-11-23T01:37:55.6995091Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6995199Z 'code': None, 2022-11-23T01:37:55.6995415Z 'obj_weakref': 2022-11-23T01:37:55.6995670Z 'guarded_class': 2022-11-23T01:37:55.6995735Z } 2022-11-23T01:37:55.6995798Z 2022-11-23T01:37:55.6995871Z - 2022-11-23T01:37:55.6995983Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.6996045Z { 2022-11-23T01:37:55.6996194Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.6996303Z 'code': None, 2022-11-23T01:37:55.6996517Z 'obj_weakref': 2022-11-23T01:37:55.6996774Z 'guarded_class': 2022-11-23T01:37:55.6996839Z } 2022-11-23T01:37:55.6996901Z 2022-11-23T01:37:55.6996958Z - 2022-11-23T01:37:55.6997090Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.6997152Z { 2022-11-23T01:37:55.6997288Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.6997465Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.6997586Z 'obj_weakref': None 2022-11-23T01:37:55.6997818Z 'guarded_class': 2022-11-23T01:37:55.6997869Z } 2022-11-23T01:37:55.6997931Z 2022-11-23T01:37:55.6998032Z - 2022-11-23T01:37:55.6998159Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.6998222Z { 2022-11-23T01:37:55.6998361Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.6998567Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.6998686Z 'obj_weakref': None 2022-11-23T01:37:55.6998907Z 'guarded_class': 2022-11-23T01:37:55.6998972Z } 2022-11-23T01:37:55.6999034Z 2022-11-23T01:37:55.6999332Z [2022-11-23 01:37:11,847] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 483 2022-11-23T01:37:55.6999710Z [2022-11-23 01:37:13,260] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wg/cwgegypoci6zbfokqhsfcsboxpdeftz4dkejo7z4w2fmcgm3jsgl.py 2022-11-23T01:37:55.6999979Z [2022-11-23 01:37:13,260] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 483 2022-11-23T01:37:55.6999986Z 2022-11-23T01:37:55.7000080Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.7000136Z import torch 2022-11-23T01:37:55.7000204Z import random 2022-11-23T01:37:55.7000318Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.7000439Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.7000443Z 2022-11-23T01:37:55.7000520Z aten = torch.ops.aten 2022-11-23T01:37:55.7000655Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.7000747Z async_compile = AsyncCompile() 2022-11-23T01:37:55.7000755Z 2022-11-23T01:37:55.7000759Z 2022-11-23T01:37:55.7000881Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.7001086Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.7001205Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.7001312Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.7001411Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.7001471Z { 2022-11-23T01:37:55.7001548Z #pragma GCC ivdep 2022-11-23T01:37:55.7001628Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.7001676Z { 2022-11-23T01:37:55.7001754Z #pragma GCC ivdep 2022-11-23T01:37:55.7001838Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:37:55.7001900Z { 2022-11-23T01:37:55.7001962Z { 2022-11-23T01:37:55.7002024Z { 2022-11-23T01:37:55.7002113Z auto tmp0 = in_ptr0[i1 + (10*i0)]; 2022-11-23T01:37:55.7002214Z auto tmp1 = in_ptr1[i0 + (10*i1)]; 2022-11-23T01:37:55.7002304Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.7002396Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:37:55.7002460Z } 2022-11-23T01:37:55.7002521Z } 2022-11-23T01:37:55.7002580Z } 2022-11-23T01:37:55.7002630Z } 2022-11-23T01:37:55.7002689Z } 2022-11-23T01:37:55.7002768Z ''') 2022-11-23T01:37:55.7002773Z 2022-11-23T01:37:55.7002777Z 2022-11-23T01:37:55.7002866Z async_compile.wait(globals()) 2022-11-23T01:37:55.7002937Z del async_compile 2022-11-23T01:37:55.7002942Z 2022-11-23T01:37:55.7003011Z def call(args): 2022-11-23T01:37:55.7003088Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.7003147Z args.clear() 2022-11-23T01:37:55.7003349Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7003513Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.7003583Z del arg0_1 2022-11-23T01:37:55.7003648Z del arg1_1 2022-11-23T01:37:55.7003718Z return (buf0, ) 2022-11-23T01:37:55.7003723Z 2022-11-23T01:37:55.7003726Z 2022-11-23T01:37:55.7003800Z if __name__ == "__main__": 2022-11-23T01:37:55.7003913Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.7004052Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.7004256Z arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7004460Z arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7004574Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.7004579Z 2022-11-23T01:37:55.7004644Z ok (1.437s) 2022-11-23T01:37:55.7004992Z test_cpu_double_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:13,268] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.7005298Z [2022-11-23 01:37:13,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.7005522Z [2022-11-23 01:37:13,268] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.7005778Z [2022-11-23 01:37:13,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.7006054Z [2022-11-23 01:37:13,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.7006378Z [2022-11-23 01:37:13,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.7006710Z [2022-11-23 01:37:13,269] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.7006802Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.7006895Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.7006966Z 4 BINARY_ADD 2022-11-23T01:37:55.7007056Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.7007131Z 8 RETURN_VALUE 2022-11-23T01:37:55.7007179Z 2022-11-23T01:37:55.7007184Z 2022-11-23T01:37:55.7007454Z [2022-11-23 01:37:13,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.7007666Z [2022-11-23 01:37:13,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.7007909Z [2022-11-23 01:37:13,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.7008184Z [2022-11-23 01:37:13,269] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.7008428Z [2022-11-23 01:37:13,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.7008679Z [2022-11-23 01:37:13,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7009019Z [2022-11-23 01:37:13,271] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.7009268Z [2022-11-23 01:37:13,271] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7009492Z [2022-11-23 01:37:13,271] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.7009749Z [2022-11-23 01:37:13,272] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.7009999Z [2022-11-23 01:37:13,276] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.7010191Z [2022-11-23 01:37:13,276] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.7010325Z __compiled_fn_492 .3771 opcode, name, target, args, kwargs 2022-11-23T01:37:55.7010416Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.7010503Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.7010684Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.7010766Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.7010771Z 2022-11-23T01:37:55.7011075Z [2022-11-23 01:37:13,277] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7011171Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.7011264Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7011355Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.7011447Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.7011523Z 8 RETURN_VALUE 2022-11-23T01:37:55.7011528Z 2022-11-23T01:37:55.7011588Z 2022-11-23T01:37:55.7011849Z [2022-11-23 01:37:13,277] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7012001Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_492) 2022-11-23T01:37:55.7012090Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7012179Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7012256Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.7012345Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7012432Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.7012493Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.7012581Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.7012683Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7012784Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7012871Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7012945Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.7013033Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.7013097Z 26 RETURN_VALUE 2022-11-23T01:37:55.7013115Z 2022-11-23T01:37:55.7013161Z 2022-11-23T01:37:55.7013345Z [2022-11-23 01:37:13,278] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.7013417Z - 2022-11-23T01:37:55.7013538Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.7013604Z { 2022-11-23T01:37:55.7013747Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.7013935Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.7014044Z 'obj_weakref': None 2022-11-23T01:37:55.7014269Z 'guarded_class': 2022-11-23T01:37:55.7014333Z } 2022-11-23T01:37:55.7014398Z 2022-11-23T01:37:55.7014469Z - 2022-11-23T01:37:55.7014597Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.7014647Z { 2022-11-23T01:37:55.7014790Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7014901Z 'code': None, 2022-11-23T01:37:55.7015117Z 'obj_weakref': 2022-11-23T01:37:55.7015373Z 'guarded_class': 2022-11-23T01:37:55.7015443Z } 2022-11-23T01:37:55.7015507Z 2022-11-23T01:37:55.7015577Z - 2022-11-23T01:37:55.7015688Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.7015754Z { 2022-11-23T01:37:55.7015900Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7016012Z 'code': None, 2022-11-23T01:37:55.7016225Z 'obj_weakref': 2022-11-23T01:37:55.7016481Z 'guarded_class': 2022-11-23T01:37:55.7016547Z } 2022-11-23T01:37:55.7016601Z 2022-11-23T01:37:55.7016674Z - 2022-11-23T01:37:55.7016808Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.7016873Z { 2022-11-23T01:37:55.7017012Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.7017186Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.7017336Z 'obj_weakref': None 2022-11-23T01:37:55.7017561Z 'guarded_class': 2022-11-23T01:37:55.7017627Z } 2022-11-23T01:37:55.7017690Z 2022-11-23T01:37:55.7017763Z - 2022-11-23T01:37:55.7017888Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.7017955Z { 2022-11-23T01:37:55.7018081Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.7018302Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.7018424Z 'obj_weakref': None 2022-11-23T01:37:55.7018679Z 'guarded_class': 2022-11-23T01:37:55.7018897Z } 2022-11-23T01:37:55.7019003Z 2022-11-23T01:37:55.7019295Z [2022-11-23 01:37:13,283] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 484 2022-11-23T01:37:55.7019677Z [2022-11-23 01:37:14,674] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/wq/cwqtb2ijtys4uvm2oak6i22qlscumpcjba6wnvwodscm6ckukwz6.py 2022-11-23T01:37:55.7019931Z [2022-11-23 01:37:14,674] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 484 2022-11-23T01:37:55.7019956Z 2022-11-23T01:37:55.7020038Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.7020110Z import torch 2022-11-23T01:37:55.7020182Z import random 2022-11-23T01:37:55.7020299Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.7020422Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.7020430Z 2022-11-23T01:37:55.7020509Z aten = torch.ops.aten 2022-11-23T01:37:55.7020644Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.7020724Z async_compile = AsyncCompile() 2022-11-23T01:37:55.7020729Z 2022-11-23T01:37:55.7020747Z 2022-11-23T01:37:55.7020870Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.7021080Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.7021206Z extern "C" void kernel(const double* __restrict__ in_ptr0, 2022-11-23T01:37:55.7021312Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.7021419Z double* __restrict__ out_ptr0) 2022-11-23T01:37:55.7021481Z { 2022-11-23T01:37:55.7021560Z #pragma GCC ivdep 2022-11-23T01:37:55.7021629Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.7021690Z { 2022-11-23T01:37:55.7021769Z #pragma GCC ivdep 2022-11-23T01:37:55.7021857Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:37:55.7021921Z { 2022-11-23T01:37:55.7021985Z { 2022-11-23T01:37:55.7022035Z { 2022-11-23T01:37:55.7022137Z auto tmp0 = in_ptr0[i1 + (10*i0)]; 2022-11-23T01:37:55.7022233Z auto tmp1 = in_ptr1[i1]; 2022-11-23T01:37:55.7022347Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:37:55.7022437Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:37:55.7022530Z out_ptr0[i1 + (10*i0)] = tmp3; 2022-11-23T01:37:55.7022597Z } 2022-11-23T01:37:55.7022646Z } 2022-11-23T01:37:55.7022710Z } 2022-11-23T01:37:55.7022772Z } 2022-11-23T01:37:55.7022831Z } 2022-11-23T01:37:55.7022911Z ''') 2022-11-23T01:37:55.7022917Z 2022-11-23T01:37:55.7022921Z 2022-11-23T01:37:55.7023012Z async_compile.wait(globals()) 2022-11-23T01:37:55.7023087Z del async_compile 2022-11-23T01:37:55.7023091Z 2022-11-23T01:37:55.7023164Z def call(args): 2022-11-23T01:37:55.7023226Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.7023295Z args.clear() 2022-11-23T01:37:55.7023498Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:37:55.7023663Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.7023791Z del arg0_1 2022-11-23T01:37:55.7023863Z del arg1_1 2022-11-23T01:37:55.7023936Z return (buf0, ) 2022-11-23T01:37:55.7023941Z 2022-11-23T01:37:55.7023945Z 2022-11-23T01:37:55.7024007Z if __name__ == "__main__": 2022-11-23T01:37:55.7024120Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.7024242Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.7024450Z arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:37:55.7024651Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7024770Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.7024812Z 2022-11-23T01:37:55.7024880Z ok (1.414s) 2022-11-23T01:37:55.7025231Z test_cpu_double_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:14,682] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.7025496Z [2022-11-23 01:37:14,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.7025719Z [2022-11-23 01:37:14,682] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.7025976Z [2022-11-23 01:37:14,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.7026266Z [2022-11-23 01:37:14,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.7026591Z [2022-11-23 01:37:14,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.7026933Z [2022-11-23 01:37:14,683] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.7027025Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.7027115Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.7027190Z 4 BINARY_ADD 2022-11-23T01:37:55.7027266Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.7027340Z 8 RETURN_VALUE 2022-11-23T01:37:55.7027401Z 2022-11-23T01:37:55.7027406Z 2022-11-23T01:37:55.7027674Z [2022-11-23 01:37:14,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.7027887Z [2022-11-23 01:37:14,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.7028190Z [2022-11-23 01:37:14,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.7028483Z [2022-11-23 01:37:14,683] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.7028730Z [2022-11-23 01:37:14,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.7028968Z [2022-11-23 01:37:14,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7029309Z [2022-11-23 01:37:14,685] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.7029556Z [2022-11-23 01:37:14,685] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7029794Z [2022-11-23 01:37:14,685] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.7030054Z [2022-11-23 01:37:14,687] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.7030307Z [2022-11-23 01:37:14,690] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.7030502Z [2022-11-23 01:37:14,690] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.7030637Z __compiled_fn_493 .3777 opcode, name, target, args, kwargs 2022-11-23T01:37:55.7030759Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.7030837Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.7031020Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.7031114Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.7031120Z 2022-11-23T01:37:55.7031399Z [2022-11-23 01:37:14,691] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7031493Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.7031585Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7031677Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.7031803Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.7031866Z 8 RETURN_VALUE 2022-11-23T01:37:55.7031872Z 2022-11-23T01:37:55.7031930Z 2022-11-23T01:37:55.7032211Z [2022-11-23 01:37:14,691] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7032320Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_493) 2022-11-23T01:37:55.7032409Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7032498Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7032574Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.7032662Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7032737Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.7032811Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.7032898Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.7033002Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7033104Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7033190Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7033265Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.7033340Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.7033418Z 26 RETURN_VALUE 2022-11-23T01:37:55.7033423Z 2022-11-23T01:37:55.7033483Z 2022-11-23T01:37:55.7033667Z [2022-11-23 01:37:14,692] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.7033741Z - 2022-11-23T01:37:55.7033863Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.7033929Z { 2022-11-23T01:37:55.7034059Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.7034246Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.7034368Z 'obj_weakref': None 2022-11-23T01:37:55.7034593Z 'guarded_class': 2022-11-23T01:37:55.7034660Z } 2022-11-23T01:37:55.7034724Z 2022-11-23T01:37:55.7034795Z - 2022-11-23T01:37:55.7034909Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.7034973Z { 2022-11-23T01:37:55.7035115Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7035226Z 'code': None, 2022-11-23T01:37:55.7035444Z 'obj_weakref': 2022-11-23T01:37:55.7035700Z 'guarded_class': 2022-11-23T01:37:55.7035762Z } 2022-11-23T01:37:55.7035811Z 2022-11-23T01:37:55.7035884Z - 2022-11-23T01:37:55.7036010Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.7036072Z { 2022-11-23T01:37:55.7036220Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7036330Z 'code': None, 2022-11-23T01:37:55.7036544Z 'obj_weakref': 2022-11-23T01:37:55.7036786Z 'guarded_class': 2022-11-23T01:37:55.7036849Z } 2022-11-23T01:37:55.7036911Z 2022-11-23T01:37:55.7037018Z - 2022-11-23T01:37:55.7037222Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.7037315Z { 2022-11-23T01:37:55.7037460Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.7037621Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.7037742Z 'obj_weakref': None 2022-11-23T01:37:55.7037974Z 'guarded_class': 2022-11-23T01:37:55.7038039Z } 2022-11-23T01:37:55.7038103Z 2022-11-23T01:37:55.7038173Z - 2022-11-23T01:37:55.7038336Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.7038386Z { 2022-11-23T01:37:55.7038526Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.7038751Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.7038873Z 'obj_weakref': None 2022-11-23T01:37:55.7039098Z 'guarded_class': 2022-11-23T01:37:55.7039162Z } 2022-11-23T01:37:55.7039224Z 2022-11-23T01:37:55.7039473Z [2022-11-23 01:37:14,698] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 485 2022-11-23T01:37:55.7039844Z [2022-11-23 01:37:16,095] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/as/casolr2qtppa6l5tsdfhnnw2ii63l2apj7xstfcjzzuxzwbuhduu.py 2022-11-23T01:37:55.7040112Z [2022-11-23 01:37:16,095] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 485 2022-11-23T01:37:55.7040120Z 2022-11-23T01:37:55.7040216Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.7040284Z import torch 2022-11-23T01:37:55.7040352Z import random 2022-11-23T01:37:55.7040466Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.7040586Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.7040594Z 2022-11-23T01:37:55.7040658Z aten = torch.ops.aten 2022-11-23T01:37:55.7040790Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.7040880Z async_compile = AsyncCompile() 2022-11-23T01:37:55.7040886Z 2022-11-23T01:37:55.7040890Z 2022-11-23T01:37:55.7041027Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.7041231Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.7041352Z extern "C" void kernel(const double* __restrict__ in_ptr0, 2022-11-23T01:37:55.7041457Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.7041558Z double* __restrict__ out_ptr0) 2022-11-23T01:37:55.7041606Z { 2022-11-23T01:37:55.7041681Z #pragma GCC ivdep 2022-11-23T01:37:55.7041762Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.7041822Z { 2022-11-23T01:37:55.7041901Z #pragma GCC ivdep 2022-11-23T01:37:55.7041982Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:37:55.7042046Z { 2022-11-23T01:37:55.7042096Z { 2022-11-23T01:37:55.7042159Z { 2022-11-23T01:37:55.7042259Z auto tmp0 = in_ptr0[i1 + (10*i0)]; 2022-11-23T01:37:55.7042351Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.7042458Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:37:55.7042545Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:37:55.7042636Z out_ptr0[i1 + (10*i0)] = tmp3; 2022-11-23T01:37:55.7042687Z } 2022-11-23T01:37:55.7042750Z } 2022-11-23T01:37:55.7042814Z } 2022-11-23T01:37:55.7042874Z } 2022-11-23T01:37:55.7042932Z } 2022-11-23T01:37:55.7043012Z ''') 2022-11-23T01:37:55.7043017Z 2022-11-23T01:37:55.7043021Z 2022-11-23T01:37:55.7043109Z async_compile.wait(globals()) 2022-11-23T01:37:55.7043166Z del async_compile 2022-11-23T01:37:55.7043171Z 2022-11-23T01:37:55.7043238Z def call(args): 2022-11-23T01:37:55.7043346Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.7043420Z args.clear() 2022-11-23T01:37:55.7043634Z buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:37:55.7043797Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.7043865Z del arg0_1 2022-11-23T01:37:55.7043919Z del arg1_1 2022-11-23T01:37:55.7043988Z return (buf0, ) 2022-11-23T01:37:55.7043993Z 2022-11-23T01:37:55.7043997Z 2022-11-23T01:37:55.7044074Z if __name__ == "__main__": 2022-11-23T01:37:55.7044188Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.7044341Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.7044546Z arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:37:55.7044755Z arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7044871Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.7044877Z 2022-11-23T01:37:55.7044930Z ok (1.421s) 2022-11-23T01:37:55.7045276Z test_cpu_double_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:16,103] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.7045548Z [2022-11-23 01:37:16,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.7045771Z [2022-11-23 01:37:16,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.7046029Z [2022-11-23 01:37:16,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.7046394Z [2022-11-23 01:37:16,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.7046731Z [2022-11-23 01:37:16,103] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.7047066Z [2022-11-23 01:37:16,104] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.7047158Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.7047237Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.7047310Z 4 BINARY_ADD 2022-11-23T01:37:55.7047399Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.7047475Z 8 RETURN_VALUE 2022-11-23T01:37:55.7047536Z 2022-11-23T01:37:55.7047541Z 2022-11-23T01:37:55.7047880Z [2022-11-23 01:37:16,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.7048190Z [2022-11-23 01:37:16,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.7048456Z [2022-11-23 01:37:16,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.7048796Z [2022-11-23 01:37:16,104] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.7049044Z [2022-11-23 01:37:16,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.7049291Z [2022-11-23 01:37:16,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7049632Z [2022-11-23 01:37:16,106] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.7049881Z [2022-11-23 01:37:16,106] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7050126Z [2022-11-23 01:37:16,106] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.7050383Z [2022-11-23 01:37:16,107] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.7050676Z [2022-11-23 01:37:16,114] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.7050871Z [2022-11-23 01:37:16,114] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.7050994Z __compiled_fn_494 .3783 opcode, name, target, args, kwargs 2022-11-23T01:37:55.7051083Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.7051168Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.7051348Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.7051443Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.7051509Z 2022-11-23T01:37:55.7051791Z [2022-11-23 01:37:16,114] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7051885Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.7051977Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7052060Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.7052149Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.7052226Z 8 RETURN_VALUE 2022-11-23T01:37:55.7052232Z 2022-11-23T01:37:55.7052292Z 2022-11-23T01:37:55.7052569Z [2022-11-23 01:37:16,115] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7052679Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_494) 2022-11-23T01:37:55.7052768Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7052857Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7052920Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.7053014Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7053099Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.7053174Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.7053263Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.7053368Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7053470Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7053546Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7053621Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.7053708Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.7053785Z 26 RETURN_VALUE 2022-11-23T01:37:55.7053791Z 2022-11-23T01:37:55.7053852Z 2022-11-23T01:37:55.7054038Z [2022-11-23 01:37:16,115] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.7054109Z - 2022-11-23T01:37:55.7054218Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.7054286Z { 2022-11-23T01:37:55.7054429Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.7054618Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.7054739Z 'obj_weakref': None 2022-11-23T01:37:55.7054969Z 'guarded_class': 2022-11-23T01:37:55.7055033Z } 2022-11-23T01:37:55.7055083Z 2022-11-23T01:37:55.7055153Z - 2022-11-23T01:37:55.7055283Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.7055348Z { 2022-11-23T01:37:55.7055493Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7055603Z 'code': None, 2022-11-23T01:37:55.7055818Z 'obj_weakref': 2022-11-23T01:37:55.7056061Z 'guarded_class': 2022-11-23T01:37:55.7056131Z } 2022-11-23T01:37:55.7056195Z 2022-11-23T01:37:55.7056269Z - 2022-11-23T01:37:55.7056395Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.7056459Z { 2022-11-23T01:37:55.7056605Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7056701Z 'code': None, 2022-11-23T01:37:55.7056952Z 'obj_weakref': 2022-11-23T01:37:55.7057213Z 'guarded_class': 2022-11-23T01:37:55.7057279Z } 2022-11-23T01:37:55.7057343Z 2022-11-23T01:37:55.7057416Z - 2022-11-23T01:37:55.7057551Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.7057602Z { 2022-11-23T01:37:55.7057741Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.7057918Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.7058089Z 'obj_weakref': None 2022-11-23T01:37:55.7058325Z 'guarded_class': 2022-11-23T01:37:55.7058390Z } 2022-11-23T01:37:55.7058454Z 2022-11-23T01:37:55.7058513Z - 2022-11-23T01:37:55.7058640Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.7058707Z { 2022-11-23T01:37:55.7059040Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.7059399Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.7059547Z 'obj_weakref': None 2022-11-23T01:37:55.7059828Z 'guarded_class': 2022-11-23T01:37:55.7059884Z } 2022-11-23T01:37:55.7059951Z 2022-11-23T01:37:55.7060222Z [2022-11-23 01:37:16,121] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 486 2022-11-23T01:37:55.7060602Z [2022-11-23 01:37:17,497] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ya/cyapn6iom6wyoe2pzha2c72um2vi7qtnnvjtycw2zmerlm6jveq7.py 2022-11-23T01:37:55.7060873Z [2022-11-23 01:37:17,497] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 486 2022-11-23T01:37:55.7060881Z 2022-11-23T01:37:55.7060979Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.7061050Z import torch 2022-11-23T01:37:55.7061121Z import random 2022-11-23T01:37:55.7061224Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.7061353Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.7061358Z 2022-11-23T01:37:55.7061438Z aten = torch.ops.aten 2022-11-23T01:37:55.7061575Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.7061668Z async_compile = AsyncCompile() 2022-11-23T01:37:55.7061673Z 2022-11-23T01:37:55.7061678Z 2022-11-23T01:37:55.7061818Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.7062027Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.7062150Z extern "C" void kernel(const double* __restrict__ in_ptr0, 2022-11-23T01:37:55.7062242Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.7062347Z double* __restrict__ out_ptr0) 2022-11-23T01:37:55.7062411Z { 2022-11-23T01:37:55.7062491Z #pragma GCC ivdep 2022-11-23T01:37:55.7062574Z for(long i0=0; i0<100; i0+=1) 2022-11-23T01:37:55.7062636Z { 2022-11-23T01:37:55.7062699Z { 2022-11-23T01:37:55.7062749Z { 2022-11-23T01:37:55.7062839Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.7062924Z auto tmp1 = in_ptr1[0]; 2022-11-23T01:37:55.7063032Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:37:55.7063117Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:37:55.7063199Z out_ptr0[i0] = tmp3; 2022-11-23T01:37:55.7063266Z } 2022-11-23T01:37:55.7063315Z } 2022-11-23T01:37:55.7063378Z } 2022-11-23T01:37:55.7063436Z } 2022-11-23T01:37:55.7063514Z ''') 2022-11-23T01:37:55.7063519Z 2022-11-23T01:37:55.7063523Z 2022-11-23T01:37:55.7063612Z async_compile.wait(globals()) 2022-11-23T01:37:55.7063683Z del async_compile 2022-11-23T01:37:55.7063760Z 2022-11-23T01:37:55.7063833Z def call(args): 2022-11-23T01:37:55.7063896Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.7063968Z args.clear() 2022-11-23T01:37:55.7064171Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:37:55.7064334Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.7064403Z del arg0_1 2022-11-23T01:37:55.7064469Z del arg1_1 2022-11-23T01:37:55.7064542Z return (buf0, ) 2022-11-23T01:37:55.7064547Z 2022-11-23T01:37:55.7064551Z 2022-11-23T01:37:55.7064625Z if __name__ == "__main__": 2022-11-23T01:37:55.7064776Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.7064899Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.7065104Z arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:37:55.7065301Z arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7065415Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.7065421Z 2022-11-23T01:37:55.7065486Z ok (1.402s) 2022-11-23T01:37:55.7065826Z test_cpu_double_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:17,505] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.7066101Z [2022-11-23 01:37:17,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.7066309Z [2022-11-23 01:37:17,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.7066569Z [2022-11-23 01:37:17,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.7066856Z [2022-11-23 01:37:17,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.7067184Z [2022-11-23 01:37:17,505] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.7067520Z [2022-11-23 01:37:17,506] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.7067612Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.7067701Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.7067774Z 4 BINARY_ADD 2022-11-23T01:37:55.7067862Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.7067926Z 8 RETURN_VALUE 2022-11-23T01:37:55.7067989Z 2022-11-23T01:37:55.7067994Z 2022-11-23T01:37:55.7068343Z [2022-11-23 01:37:17,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.7068561Z [2022-11-23 01:37:17,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.7068806Z [2022-11-23 01:37:17,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.7069084Z [2022-11-23 01:37:17,506] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.7069328Z [2022-11-23 01:37:17,507] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.7069577Z [2022-11-23 01:37:17,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7069904Z [2022-11-23 01:37:17,508] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.7070156Z [2022-11-23 01:37:17,508] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7070390Z [2022-11-23 01:37:17,508] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.7070686Z [2022-11-23 01:37:17,509] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.7070945Z [2022-11-23 01:37:17,512] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.7071136Z [2022-11-23 01:37:17,513] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.7071271Z __compiled_fn_495 .3789 opcode, name, target, args, kwargs 2022-11-23T01:37:55.7071361Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.7071447Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.7071615Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.7071743Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.7071748Z 2022-11-23T01:37:55.7072026Z [2022-11-23 01:37:17,513] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7072121Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.7072213Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7072305Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.7072394Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.7072469Z 8 RETURN_VALUE 2022-11-23T01:37:55.7072474Z 2022-11-23T01:37:55.7072521Z 2022-11-23T01:37:55.7072798Z [2022-11-23 01:37:17,513] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7072907Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_495) 2022-11-23T01:37:55.7072997Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7073086Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7073165Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.7073256Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7073330Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.7073404Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.7073492Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.7073597Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7073698Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7073786Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7073860Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.7073935Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.7074010Z 26 RETURN_VALUE 2022-11-23T01:37:55.7074015Z 2022-11-23T01:37:55.7074074Z 2022-11-23T01:37:55.7074259Z [2022-11-23 01:37:17,514] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.7074332Z - 2022-11-23T01:37:55.7074455Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.7074519Z { 2022-11-23T01:37:55.7074649Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.7074839Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.7074960Z 'obj_weakref': None 2022-11-23T01:37:55.7075190Z 'guarded_class': 2022-11-23T01:37:55.7075255Z } 2022-11-23T01:37:55.7075317Z 2022-11-23T01:37:55.7075388Z - 2022-11-23T01:37:55.7075503Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.7075565Z { 2022-11-23T01:37:55.7075713Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7075823Z 'code': None, 2022-11-23T01:37:55.7076039Z 'obj_weakref': 2022-11-23T01:37:55.7076295Z 'guarded_class': 2022-11-23T01:37:55.7076361Z } 2022-11-23T01:37:55.7076422Z 2022-11-23T01:37:55.7076479Z - 2022-11-23T01:37:55.7076604Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.7076667Z { 2022-11-23T01:37:55.7076845Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7076957Z 'code': None, 2022-11-23T01:37:55.7077175Z 'obj_weakref': 2022-11-23T01:37:55.7077430Z 'guarded_class': 2022-11-23T01:37:55.7077482Z } 2022-11-23T01:37:55.7077544Z 2022-11-23T01:37:55.7077614Z - 2022-11-23T01:37:55.7077746Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.7077810Z { 2022-11-23T01:37:55.7077946Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.7078137Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.7078260Z 'obj_weakref': None 2022-11-23T01:37:55.7078493Z 'guarded_class': 2022-11-23T01:37:55.7078558Z } 2022-11-23T01:37:55.7078621Z 2022-11-23T01:37:55.7078694Z - 2022-11-23T01:37:55.7078818Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.7078868Z { 2022-11-23T01:37:55.7079007Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.7079225Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.7079346Z 'obj_weakref': None 2022-11-23T01:37:55.7079568Z 'guarded_class': 2022-11-23T01:37:55.7079631Z } 2022-11-23T01:37:55.7079690Z 2022-11-23T01:37:55.7079959Z [2022-11-23 01:37:17,520] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 487 2022-11-23T01:37:55.7080310Z [2022-11-23 01:37:18,895] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/7z/c7z27zqwg5v333fngmzstfdyd3t7ribc4xf5me7s3ycxl27emjpk.py 2022-11-23T01:37:55.7080580Z [2022-11-23 01:37:18,896] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 487 2022-11-23T01:37:55.7080585Z 2022-11-23T01:37:55.7080678Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.7080748Z import torch 2022-11-23T01:37:55.7080817Z import random 2022-11-23T01:37:55.7080931Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.7081052Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.7081057Z 2022-11-23T01:37:55.7081134Z aten = torch.ops.aten 2022-11-23T01:37:55.7081256Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.7081347Z async_compile = AsyncCompile() 2022-11-23T01:37:55.7081354Z 2022-11-23T01:37:55.7081359Z 2022-11-23T01:37:55.7081493Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.7081700Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.7081820Z extern "C" void kernel(const double* __restrict__ in_ptr0, 2022-11-23T01:37:55.7081927Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.7082027Z double* __restrict__ out_ptr0) 2022-11-23T01:37:55.7082087Z { 2022-11-23T01:37:55.7082151Z #pragma GCC ivdep 2022-11-23T01:37:55.7082230Z for(long i0=0; i0<100; i0+=1) 2022-11-23T01:37:55.7082292Z { 2022-11-23T01:37:55.7082355Z { 2022-11-23T01:37:55.7082418Z { 2022-11-23T01:37:55.7082505Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.7082580Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.7082686Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:37:55.7082772Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:37:55.7082856Z out_ptr0[i0] = tmp3; 2022-11-23T01:37:55.7082918Z } 2022-11-23T01:37:55.7082981Z } 2022-11-23T01:37:55.7083040Z } 2022-11-23T01:37:55.7083086Z } 2022-11-23T01:37:55.7083166Z ''') 2022-11-23T01:37:55.7083171Z 2022-11-23T01:37:55.7083175Z 2022-11-23T01:37:55.7083292Z async_compile.wait(globals()) 2022-11-23T01:37:55.7083366Z del async_compile 2022-11-23T01:37:55.7083371Z 2022-11-23T01:37:55.7083441Z def call(args): 2022-11-23T01:37:55.7083518Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.7083591Z args.clear() 2022-11-23T01:37:55.7083781Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:37:55.7083942Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.7084009Z del arg0_1 2022-11-23T01:37:55.7084075Z del arg1_1 2022-11-23T01:37:55.7084145Z return (buf0, ) 2022-11-23T01:37:55.7084180Z 2022-11-23T01:37:55.7084184Z 2022-11-23T01:37:55.7084261Z if __name__ == "__main__": 2022-11-23T01:37:55.7084376Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.7084498Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.7084687Z arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:37:55.7084891Z arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7085005Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.7085010Z 2022-11-23T01:37:55.7085076Z ok (1.398s) 2022-11-23T01:37:55.7085420Z test_cpu_double_double (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:18,903] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.7085698Z [2022-11-23 01:37:18,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.7085919Z [2022-11-23 01:37:18,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.7086178Z [2022-11-23 01:37:18,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.7086466Z [2022-11-23 01:37:18,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.7086782Z [2022-11-23 01:37:18,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.7087119Z [2022-11-23 01:37:18,904] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.7087210Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.7087301Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.7087374Z 4 BINARY_ADD 2022-11-23T01:37:55.7087461Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.7087539Z 8 RETURN_VALUE 2022-11-23T01:37:55.7087600Z 2022-11-23T01:37:55.7087604Z 2022-11-23T01:37:55.7087856Z [2022-11-23 01:37:18,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.7088070Z [2022-11-23 01:37:18,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.7088312Z [2022-11-23 01:37:18,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.7088590Z [2022-11-23 01:37:18,904] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.7088835Z [2022-11-23 01:37:18,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.7089084Z [2022-11-23 01:37:18,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7089421Z [2022-11-23 01:37:18,906] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.7089671Z [2022-11-23 01:37:18,906] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7089909Z [2022-11-23 01:37:18,906] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.7090186Z [2022-11-23 01:37:18,907] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.7090442Z [2022-11-23 01:37:18,911] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.7090632Z [2022-11-23 01:37:18,911] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.7090766Z __compiled_fn_496 .3795 opcode, name, target, args, kwargs 2022-11-23T01:37:55.7090855Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.7090940Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.7091155Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.7091251Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.7091256Z 2022-11-23T01:37:55.7091538Z [2022-11-23 01:37:18,911] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7091622Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.7091713Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7091804Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.7091894Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.7091968Z 8 RETURN_VALUE 2022-11-23T01:37:55.7091973Z 2022-11-23T01:37:55.7092033Z 2022-11-23T01:37:55.7092309Z [2022-11-23 01:37:18,912] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7092407Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_496) 2022-11-23T01:37:55.7092498Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7092589Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7092666Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.7092752Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7092838Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.7092917Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.7092993Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.7093096Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7093196Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7093284Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7093358Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.7093444Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.7093517Z 26 RETURN_VALUE 2022-11-23T01:37:55.7093522Z 2022-11-23T01:37:55.7093580Z 2022-11-23T01:37:55.7093751Z [2022-11-23 01:37:18,912] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.7093825Z - 2022-11-23T01:37:55.7093946Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.7094009Z { 2022-11-23T01:37:55.7094150Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.7094341Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.7094467Z 'obj_weakref': None 2022-11-23T01:37:55.7094679Z 'guarded_class': 2022-11-23T01:37:55.7094745Z } 2022-11-23T01:37:55.7094807Z 2022-11-23T01:37:55.7094879Z - 2022-11-23T01:37:55.7095006Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.7095069Z { 2022-11-23T01:37:55.7095215Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7095312Z 'code': None, 2022-11-23T01:37:55.7095524Z 'obj_weakref': 2022-11-23T01:37:55.7095786Z 'guarded_class': 2022-11-23T01:37:55.7095852Z } 2022-11-23T01:37:55.7095915Z 2022-11-23T01:37:55.7095989Z - 2022-11-23T01:37:55.7096114Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.7096199Z { 2022-11-23T01:37:55.7096348Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7096460Z 'code': None, 2022-11-23T01:37:55.7096674Z 'obj_weakref': 2022-11-23T01:37:55.7096931Z 'guarded_class': 2022-11-23T01:37:55.7096998Z } 2022-11-23T01:37:55.7097061Z 2022-11-23T01:37:55.7097118Z - 2022-11-23T01:37:55.7097252Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.7097315Z { 2022-11-23T01:37:55.7097487Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.7097664Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.7097782Z 'obj_weakref': None 2022-11-23T01:37:55.7104945Z 'guarded_class': 2022-11-23T01:37:55.7105055Z } 2022-11-23T01:37:55.7105111Z 2022-11-23T01:37:55.7105200Z - 2022-11-23T01:37:55.7105325Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.7105380Z { 2022-11-23T01:37:55.7105517Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.7105737Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.7105850Z 'obj_weakref': None 2022-11-23T01:37:55.7106065Z 'guarded_class': 2022-11-23T01:37:55.7106129Z } 2022-11-23T01:37:55.7106183Z 2022-11-23T01:37:55.7106456Z [2022-11-23 01:37:18,918] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 488 2022-11-23T01:37:55.7106835Z [2022-11-23 01:37:20,305] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/nz/cnzz6keyhwtrgrxpb26dbu3sjta2yktm4xzgxrmqw3dbs7pikxu4.py 2022-11-23T01:37:55.7107106Z [2022-11-23 01:37:20,305] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 488 2022-11-23T01:37:55.7107114Z 2022-11-23T01:37:55.7107209Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.7107276Z import torch 2022-11-23T01:37:55.7107347Z import random 2022-11-23T01:37:55.7107460Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.7107569Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.7107575Z 2022-11-23T01:37:55.7107652Z aten = torch.ops.aten 2022-11-23T01:37:55.7107786Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.7107880Z async_compile = AsyncCompile() 2022-11-23T01:37:55.7107885Z 2022-11-23T01:37:55.7107890Z 2022-11-23T01:37:55.7108027Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.7108322Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.7108453Z extern "C" void kernel(const double* __restrict__ in_ptr0, 2022-11-23T01:37:55.7108564Z const double* __restrict__ in_ptr1, 2022-11-23T01:37:55.7108654Z double* __restrict__ out_ptr0) 2022-11-23T01:37:55.7108719Z { 2022-11-23T01:37:55.7108798Z #pragma GCC ivdep 2022-11-23T01:37:55.7108880Z for(long i0=0; i0<100; i0+=1) 2022-11-23T01:37:55.7108942Z { 2022-11-23T01:37:55.7109007Z { 2022-11-23T01:37:55.7109071Z { 2022-11-23T01:37:55.7109146Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.7109234Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.7109320Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.7109406Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.7109470Z } 2022-11-23T01:37:55.7109534Z } 2022-11-23T01:37:55.7109598Z } 2022-11-23T01:37:55.7109644Z } 2022-11-23T01:37:55.7109727Z ''') 2022-11-23T01:37:55.7109732Z 2022-11-23T01:37:55.7109737Z 2022-11-23T01:37:55.7109945Z async_compile.wait(globals()) 2022-11-23T01:37:55.7110022Z del async_compile 2022-11-23T01:37:55.7110027Z 2022-11-23T01:37:55.7110098Z def call(args): 2022-11-23T01:37:55.7110174Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.7110245Z args.clear() 2022-11-23T01:37:55.7110438Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:37:55.7110605Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.7110675Z del arg0_1 2022-11-23T01:37:55.7110743Z del arg1_1 2022-11-23T01:37:55.7110816Z return (buf0, ) 2022-11-23T01:37:55.7110877Z 2022-11-23T01:37:55.7110881Z 2022-11-23T01:37:55.7110957Z if __name__ == "__main__": 2022-11-23T01:37:55.7111072Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.7111195Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.7111387Z arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:37:55.7111591Z arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:37:55.7111709Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.7111714Z 2022-11-23T01:37:55.7111782Z ok (1.409s) 2022-11-23T01:37:55.7112119Z test_cpu_double_int (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:20,313] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.7112396Z [2022-11-23 01:37:20,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.7112621Z [2022-11-23 01:37:20,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.7112887Z [2022-11-23 01:37:20,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.7113167Z [2022-11-23 01:37:20,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.7113498Z [2022-11-23 01:37:20,313] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.7113832Z [2022-11-23 01:37:20,314] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.7113925Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.7114017Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.7114089Z 4 BINARY_ADD 2022-11-23T01:37:55.7114176Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.7114253Z 8 RETURN_VALUE 2022-11-23T01:37:55.7114300Z 2022-11-23T01:37:55.7114316Z 2022-11-23T01:37:55.7114572Z [2022-11-23 01:37:20,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.7114783Z [2022-11-23 01:37:20,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.7115027Z [2022-11-23 01:37:20,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.7115306Z [2022-11-23 01:37:20,314] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.7115551Z [2022-11-23 01:37:20,315] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.7115802Z [2022-11-23 01:37:20,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7116141Z [2022-11-23 01:37:20,316] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.7116393Z [2022-11-23 01:37:20,316] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7116634Z [2022-11-23 01:37:20,316] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.7116908Z [2022-11-23 01:37:20,317] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.7117163Z [2022-11-23 01:37:20,320] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.7117355Z [2022-11-23 01:37:20,321] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.7117491Z __compiled_fn_497 .3801 opcode, name, target, args, kwargs 2022-11-23T01:37:55.7117579Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.7117666Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.7117846Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.7117970Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.7117976Z 2022-11-23T01:37:55.7118244Z [2022-11-23 01:37:20,321] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7118340Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.7118431Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7118524Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.7118613Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.7118690Z 8 RETURN_VALUE 2022-11-23T01:37:55.7118696Z 2022-11-23T01:37:55.7118756Z 2022-11-23T01:37:55.7119032Z [2022-11-23 01:37:20,321] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7119127Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_497) 2022-11-23T01:37:55.7119216Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7119310Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7119387Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.7119473Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7119559Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.7119632Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.7119709Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.7119812Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7119914Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7120001Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7120075Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.7120162Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.7120236Z 26 RETURN_VALUE 2022-11-23T01:37:55.7120241Z 2022-11-23T01:37:55.7120287Z 2022-11-23T01:37:55.7120472Z [2022-11-23 01:37:20,322] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.7120548Z - 2022-11-23T01:37:55.7120669Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.7120732Z { 2022-11-23T01:37:55.7120874Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.7121064Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.7121175Z 'obj_weakref': None 2022-11-23T01:37:55.7121402Z 'guarded_class': 2022-11-23T01:37:55.7121466Z } 2022-11-23T01:37:55.7121529Z 2022-11-23T01:37:55.7121601Z - 2022-11-23T01:37:55.7121729Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.7121790Z { 2022-11-23T01:37:55.7121921Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7122027Z 'code': None, 2022-11-23T01:37:55.7122245Z 'obj_weakref': 2022-11-23T01:37:55.7122503Z 'guarded_class': 2022-11-23T01:37:55.7122566Z } 2022-11-23T01:37:55.7122629Z 2022-11-23T01:37:55.7122698Z - 2022-11-23T01:37:55.7122809Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.7122901Z { 2022-11-23T01:37:55.7123049Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7123156Z 'code': None, 2022-11-23T01:37:55.7123375Z 'obj_weakref': 2022-11-23T01:37:55.7123631Z 'guarded_class': 2022-11-23T01:37:55.7123693Z } 2022-11-23T01:37:55.7123742Z 2022-11-23T01:37:55.7123813Z - 2022-11-23T01:37:55.7123944Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.7124006Z { 2022-11-23T01:37:55.7124178Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.7124353Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.7124473Z 'obj_weakref': None 2022-11-23T01:37:55.7124693Z 'guarded_class': 2022-11-23T01:37:55.7124760Z } 2022-11-23T01:37:55.7124825Z 2022-11-23T01:37:55.7124899Z - 2022-11-23T01:37:55.7125021Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.7125085Z { 2022-11-23T01:37:55.7125225Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.7125432Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.7125554Z 'obj_weakref': None 2022-11-23T01:37:55.7125778Z 'guarded_class': 2022-11-23T01:37:55.7125842Z } 2022-11-23T01:37:55.7125909Z 2022-11-23T01:37:55.7126173Z [2022-11-23 01:37:20,328] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 489 2022-11-23T01:37:55.7126550Z [2022-11-23 01:37:21,714] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kh/ckhcux6qzbntyyvbez6p2n7nc2fsgnqlvavu7urjepb3l7hqthne.py 2022-11-23T01:37:55.7126824Z [2022-11-23 01:37:21,714] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 489 2022-11-23T01:37:55.7126829Z 2022-11-23T01:37:55.7126911Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.7126977Z import torch 2022-11-23T01:37:55.7127046Z import random 2022-11-23T01:37:55.7127161Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.7127282Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.7127287Z 2022-11-23T01:37:55.7127365Z aten = torch.ops.aten 2022-11-23T01:37:55.7127501Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.7127594Z async_compile = AsyncCompile() 2022-11-23T01:37:55.7127599Z 2022-11-23T01:37:55.7127603Z 2022-11-23T01:37:55.7127728Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.7127934Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.7128058Z extern "C" void kernel(const double* __restrict__ in_ptr0, 2022-11-23T01:37:55.7128160Z const int* __restrict__ in_ptr1, 2022-11-23T01:37:55.7128260Z double* __restrict__ out_ptr0) 2022-11-23T01:37:55.7128318Z { 2022-11-23T01:37:55.7128393Z #pragma GCC ivdep 2022-11-23T01:37:55.7128462Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.7128524Z { 2022-11-23T01:37:55.7128600Z #pragma GCC ivdep 2022-11-23T01:37:55.7128680Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:37:55.7128741Z { 2022-11-23T01:37:55.7128803Z { 2022-11-23T01:37:55.7128868Z { 2022-11-23T01:37:55.7128957Z auto tmp0 = in_ptr0[i1 + (10*i0)]; 2022-11-23T01:37:55.7129051Z auto tmp1 = in_ptr1[i1]; 2022-11-23T01:37:55.7129159Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:37:55.7129250Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:37:55.7129342Z out_ptr0[i1 + (10*i0)] = tmp3; 2022-11-23T01:37:55.7129434Z } 2022-11-23T01:37:55.7129497Z } 2022-11-23T01:37:55.7129545Z } 2022-11-23T01:37:55.7129607Z } 2022-11-23T01:37:55.7129666Z } 2022-11-23T01:37:55.7129748Z ''') 2022-11-23T01:37:55.7129754Z 2022-11-23T01:37:55.7129758Z 2022-11-23T01:37:55.7129846Z async_compile.wait(globals()) 2022-11-23T01:37:55.7129918Z del async_compile 2022-11-23T01:37:55.7129923Z 2022-11-23T01:37:55.7129992Z def call(args): 2022-11-23T01:37:55.7130056Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.7130125Z args.clear() 2022-11-23T01:37:55.7130331Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:37:55.7130527Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.7130596Z del arg0_1 2022-11-23T01:37:55.7130662Z del arg1_1 2022-11-23T01:37:55.7130733Z return (buf0, ) 2022-11-23T01:37:55.7130737Z 2022-11-23T01:37:55.7130741Z 2022-11-23T01:37:55.7130819Z if __name__ == "__main__": 2022-11-23T01:37:55.7130919Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.7131042Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.7131248Z arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:37:55.7131444Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:37:55.7131560Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.7131565Z 2022-11-23T01:37:55.7131631Z ok (1.409s) 2022-11-23T01:37:55.7131976Z test_cpu_double_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:21,723] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.7132253Z [2022-11-23 01:37:21,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.7132464Z [2022-11-23 01:37:21,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.7132720Z [2022-11-23 01:37:21,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.7133012Z [2022-11-23 01:37:21,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.7133342Z [2022-11-23 01:37:21,723] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.7133678Z [2022-11-23 01:37:21,724] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.7133773Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.7133864Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.7133937Z 4 BINARY_ADD 2022-11-23T01:37:55.7134028Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.7134092Z 8 RETURN_VALUE 2022-11-23T01:37:55.7134155Z 2022-11-23T01:37:55.7134161Z 2022-11-23T01:37:55.7134433Z [2022-11-23 01:37:21,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.7134646Z [2022-11-23 01:37:21,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.7134886Z [2022-11-23 01:37:21,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.7135166Z [2022-11-23 01:37:21,724] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.7135410Z [2022-11-23 01:37:21,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.7135667Z [2022-11-23 01:37:21,725] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7136022Z [2022-11-23 01:37:21,725] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.7136274Z [2022-11-23 01:37:21,726] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7136510Z [2022-11-23 01:37:21,726] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.7136770Z [2022-11-23 01:37:21,727] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.7137025Z [2022-11-23 01:37:21,731] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.7137217Z [2022-11-23 01:37:21,731] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.7137384Z __compiled_fn_498 .3807 opcode, name, target, args, kwargs 2022-11-23T01:37:55.7137473Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.7137559Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.7137728Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.7137836Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.7137842Z 2022-11-23T01:37:55.7138120Z [2022-11-23 01:37:21,731] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7138201Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.7138290Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7138384Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.7138473Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.7138549Z 8 RETURN_VALUE 2022-11-23T01:37:55.7138557Z 2022-11-23T01:37:55.7138619Z 2022-11-23T01:37:55.7139108Z [2022-11-23 01:37:21,732] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7139223Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_498) 2022-11-23T01:37:55.7139301Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7139393Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7139470Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.7139558Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7139646Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.7139721Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.7139812Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.7139904Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7140005Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7140095Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7140175Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.7140264Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.7140341Z 26 RETURN_VALUE 2022-11-23T01:37:55.7140346Z 2022-11-23T01:37:55.7140405Z 2022-11-23T01:37:55.7140581Z [2022-11-23 01:37:21,732] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.7140656Z - 2022-11-23T01:37:55.7140777Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.7140843Z { 2022-11-23T01:37:55.7140987Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.7141178Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.7141302Z 'obj_weakref': None 2022-11-23T01:37:55.7141518Z 'guarded_class': 2022-11-23T01:37:55.7141585Z } 2022-11-23T01:37:55.7141648Z 2022-11-23T01:37:55.7141720Z - 2022-11-23T01:37:55.7141852Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.7141915Z { 2022-11-23T01:37:55.7142061Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7142158Z 'code': None, 2022-11-23T01:37:55.7142375Z 'obj_weakref': 2022-11-23T01:37:55.7142690Z 'guarded_class': 2022-11-23T01:37:55.7142757Z } 2022-11-23T01:37:55.7142820Z 2022-11-23T01:37:55.7142895Z - 2022-11-23T01:37:55.7143024Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.7143074Z { 2022-11-23T01:37:55.7143220Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7143331Z 'code': None, 2022-11-23T01:37:55.7143548Z 'obj_weakref': 2022-11-23T01:37:55.7143806Z 'guarded_class': 2022-11-23T01:37:55.7143916Z } 2022-11-23T01:37:55.7143980Z 2022-11-23T01:37:55.7144038Z - 2022-11-23T01:37:55.7144171Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.7144236Z { 2022-11-23T01:37:55.7144375Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.7144550Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.7144672Z 'obj_weakref': None 2022-11-23T01:37:55.7144907Z 'guarded_class': 2022-11-23T01:37:55.7144958Z } 2022-11-23T01:37:55.7145020Z 2022-11-23T01:37:55.7145092Z - 2022-11-23T01:37:55.7145217Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.7145280Z { 2022-11-23T01:37:55.7145419Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.7145645Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.7145753Z 'obj_weakref': None 2022-11-23T01:37:55.7145976Z 'guarded_class': 2022-11-23T01:37:55.7146041Z } 2022-11-23T01:37:55.7146106Z 2022-11-23T01:37:55.7146376Z [2022-11-23 01:37:21,739] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 490 2022-11-23T01:37:55.7146752Z [2022-11-23 01:37:23,112] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4v/c4vhx6sxzhomnc5z3udwbpoeb7pkwwaahi7mk56fryji4jeucyx2.py 2022-11-23T01:37:55.7147130Z [2022-11-23 01:37:23,113] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 490 2022-11-23T01:37:55.7147137Z 2022-11-23T01:37:55.7147235Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.7147292Z import torch 2022-11-23T01:37:55.7147364Z import random 2022-11-23T01:37:55.7147482Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.7147605Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.7147611Z 2022-11-23T01:37:55.7147690Z aten = torch.ops.aten 2022-11-23T01:37:55.7147822Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.7147920Z async_compile = AsyncCompile() 2022-11-23T01:37:55.7147925Z 2022-11-23T01:37:55.7147929Z 2022-11-23T01:37:55.7148073Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.7148360Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.7148486Z extern "C" void kernel(const double* __restrict__ in_ptr0, 2022-11-23T01:37:55.7148593Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.7148693Z double* __restrict__ out_ptr0) 2022-11-23T01:37:55.7148755Z { 2022-11-23T01:37:55.7148832Z #pragma GCC ivdep 2022-11-23T01:37:55.7148913Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.7148965Z { 2022-11-23T01:37:55.7149045Z #pragma GCC ivdep 2022-11-23T01:37:55.7149128Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:37:55.7149192Z { 2022-11-23T01:37:55.7149259Z { 2022-11-23T01:37:55.7149323Z { 2022-11-23T01:37:55.7149461Z auto tmp0 = in_ptr0[i1 + (10*i0)]; 2022-11-23T01:37:55.7149552Z auto tmp1 = in_ptr1[(2*i1) + (30*i0)]; 2022-11-23T01:37:55.7149660Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:37:55.7149750Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:37:55.7149842Z out_ptr0[i1 + (10*i0)] = tmp3; 2022-11-23T01:37:55.7149907Z } 2022-11-23T01:37:55.7149969Z } 2022-11-23T01:37:55.7150031Z } 2022-11-23T01:37:55.7150080Z } 2022-11-23T01:37:55.7150137Z } 2022-11-23T01:37:55.7150219Z ''') 2022-11-23T01:37:55.7150225Z 2022-11-23T01:37:55.7150230Z 2022-11-23T01:37:55.7150356Z async_compile.wait(globals()) 2022-11-23T01:37:55.7150426Z del async_compile 2022-11-23T01:37:55.7150431Z 2022-11-23T01:37:55.7150501Z def call(args): 2022-11-23T01:37:55.7150574Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.7150631Z args.clear() 2022-11-23T01:37:55.7150836Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:37:55.7151002Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.7151071Z del arg0_1 2022-11-23T01:37:55.7151136Z del arg1_1 2022-11-23T01:37:55.7151206Z return (buf0, ) 2022-11-23T01:37:55.7151211Z 2022-11-23T01:37:55.7151215Z 2022-11-23T01:37:55.7151290Z if __name__ == "__main__": 2022-11-23T01:37:55.7151402Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.7151513Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.7151717Z arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:37:55.7151922Z arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7152035Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.7152040Z 2022-11-23T01:37:55.7152105Z ok (1.398s) 2022-11-23T01:37:55.7152455Z test_cpu_double_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:23,122] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.7152727Z [2022-11-23 01:37:23,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.7152949Z [2022-11-23 01:37:23,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.7153194Z [2022-11-23 01:37:23,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.7153485Z [2022-11-23 01:37:23,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.7153812Z [2022-11-23 01:37:23,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.7154149Z [2022-11-23 01:37:23,122] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.7154243Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.7154332Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.7154404Z 4 BINARY_ADD 2022-11-23T01:37:55.7154492Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.7154567Z 8 RETURN_VALUE 2022-11-23T01:37:55.7154615Z 2022-11-23T01:37:55.7154619Z 2022-11-23T01:37:55.7154892Z [2022-11-23 01:37:23,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.7155103Z [2022-11-23 01:37:23,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.7155347Z [2022-11-23 01:37:23,122] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.7155623Z [2022-11-23 01:37:23,123] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.7155895Z [2022-11-23 01:37:23,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.7156147Z [2022-11-23 01:37:23,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7156485Z [2022-11-23 01:37:23,124] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.7156734Z [2022-11-23 01:37:23,124] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7156960Z [2022-11-23 01:37:23,124] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.7157260Z [2022-11-23 01:37:23,125] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.7157510Z [2022-11-23 01:37:23,129] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.7157703Z [2022-11-23 01:37:23,129] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.7157840Z __compiled_fn_499 .3813 opcode, name, target, args, kwargs 2022-11-23T01:37:55.7157928Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.7158014Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.7158193Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.7158275Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.7158280Z 2022-11-23T01:37:55.7158557Z [2022-11-23 01:37:23,130] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7158651Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.7158744Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7158834Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.7158923Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.7159000Z 8 RETURN_VALUE 2022-11-23T01:37:55.7159005Z 2022-11-23T01:37:55.7159068Z 2022-11-23T01:37:55.7159329Z [2022-11-23 01:37:23,130] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7159437Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_499) 2022-11-23T01:37:55.7159528Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7159617Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7159692Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.7159779Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7159866Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.7159931Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.7160017Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.7160120Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7160219Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7160307Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7160386Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.7160472Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.7160533Z 26 RETURN_VALUE 2022-11-23T01:37:55.7160549Z 2022-11-23T01:37:55.7160595Z 2022-11-23T01:37:55.7160779Z [2022-11-23 01:37:23,131] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.7160852Z - 2022-11-23T01:37:55.7160971Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.7161034Z { 2022-11-23T01:37:55.7161178Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.7161355Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.7161481Z 'obj_weakref': None 2022-11-23T01:37:55.7161706Z 'guarded_class': 2022-11-23T01:37:55.7161771Z } 2022-11-23T01:37:55.7161833Z 2022-11-23T01:37:55.7161902Z - 2022-11-23T01:37:55.7162094Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.7162146Z { 2022-11-23T01:37:55.7162292Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7162402Z 'code': None, 2022-11-23T01:37:55.7162615Z 'obj_weakref': 2022-11-23T01:37:55.7162873Z 'guarded_class': 2022-11-23T01:37:55.7162936Z } 2022-11-23T01:37:55.7162999Z 2022-11-23T01:37:55.7163057Z - 2022-11-23T01:37:55.7163182Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.7163276Z { 2022-11-23T01:37:55.7163422Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7163532Z 'code': None, 2022-11-23T01:37:55.7163747Z 'obj_weakref': 2022-11-23T01:37:55.7164007Z 'guarded_class': 2022-11-23T01:37:55.7164072Z } 2022-11-23T01:37:55.7164121Z 2022-11-23T01:37:55.7164193Z - 2022-11-23T01:37:55.7164328Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.7164390Z { 2022-11-23T01:37:55.7164524Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.7164695Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.7164804Z 'obj_weakref': None 2022-11-23T01:37:55.7165037Z 'guarded_class': 2022-11-23T01:37:55.7165104Z } 2022-11-23T01:37:55.7165168Z 2022-11-23T01:37:55.7165241Z - 2022-11-23T01:37:55.7165364Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.7165428Z { 2022-11-23T01:37:55.7165552Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.7165772Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.7165894Z 'obj_weakref': None 2022-11-23T01:37:55.7166115Z 'guarded_class': 2022-11-23T01:37:55.7166178Z } 2022-11-23T01:37:55.7166241Z 2022-11-23T01:37:55.7166506Z [2022-11-23 01:37:23,137] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 491 2022-11-23T01:37:55.7166879Z [2022-11-23 01:37:24,527] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/v7/cv7tlzya3zopbdvc756ck5frgptgwpgn4eypk5ffqxqo5l7mzaqn.py 2022-11-23T01:37:55.7167138Z [2022-11-23 01:37:24,528] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 491 2022-11-23T01:37:55.7167158Z 2022-11-23T01:37:55.7167238Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.7167306Z import torch 2022-11-23T01:37:55.7167376Z import random 2022-11-23T01:37:55.7167494Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.7167613Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.7167618Z 2022-11-23T01:37:55.7167694Z aten = torch.ops.aten 2022-11-23T01:37:55.7167827Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.7167907Z async_compile = AsyncCompile() 2022-11-23T01:37:55.7167912Z 2022-11-23T01:37:55.7167916Z 2022-11-23T01:37:55.7168052Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.7168258Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.7168382Z extern "C" void kernel(const double* __restrict__ in_ptr0, 2022-11-23T01:37:55.7168489Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.7168591Z double* __restrict__ out_ptr0) 2022-11-23T01:37:55.7168651Z { 2022-11-23T01:37:55.7168727Z #pragma GCC ivdep 2022-11-23T01:37:55.7168803Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.7168944Z { 2022-11-23T01:37:55.7169058Z #pragma GCC ivdep 2022-11-23T01:37:55.7169199Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:37:55.7169328Z { 2022-11-23T01:37:55.7169461Z { 2022-11-23T01:37:55.7169571Z { 2022-11-23T01:37:55.7169760Z auto tmp0 = in_ptr0[i1 + (10*i0)]; 2022-11-23T01:37:55.7169926Z auto tmp1 = in_ptr1[i0 + (10*i1)]; 2022-11-23T01:37:55.7170057Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:37:55.7170150Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:37:55.7170280Z out_ptr0[i1 + (10*i0)] = tmp3; 2022-11-23T01:37:55.7170345Z } 2022-11-23T01:37:55.7170395Z } 2022-11-23T01:37:55.7170455Z } 2022-11-23T01:37:55.7170517Z } 2022-11-23T01:37:55.7170575Z } 2022-11-23T01:37:55.7170662Z ''') 2022-11-23T01:37:55.7170668Z 2022-11-23T01:37:55.7170672Z 2022-11-23T01:37:55.7170764Z async_compile.wait(globals()) 2022-11-23T01:37:55.7170836Z del async_compile 2022-11-23T01:37:55.7170841Z 2022-11-23T01:37:55.7170897Z def call(args): 2022-11-23T01:37:55.7170972Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.7171043Z args.clear() 2022-11-23T01:37:55.7171248Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:37:55.7171413Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.7171479Z del arg0_1 2022-11-23T01:37:55.7171546Z del arg1_1 2022-11-23T01:37:55.7171605Z return (buf0, ) 2022-11-23T01:37:55.7171624Z 2022-11-23T01:37:55.7171628Z 2022-11-23T01:37:55.7171691Z if __name__ == "__main__": 2022-11-23T01:37:55.7171803Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.7171925Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.7172128Z arg0_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:37:55.7172332Z arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7172447Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.7172451Z 2022-11-23T01:37:55.7172517Z ok (1.414s) 2022-11-23T01:37:55.7172857Z test_cpu_int_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:24,535] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.7173117Z [2022-11-23 01:37:24,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.7173338Z [2022-11-23 01:37:24,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.7173594Z [2022-11-23 01:37:24,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.7173885Z [2022-11-23 01:37:24,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.7174214Z [2022-11-23 01:37:24,535] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.7174552Z [2022-11-23 01:37:24,536] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.7174645Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.7174740Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.7174813Z 4 BINARY_ADD 2022-11-23T01:37:55.7174889Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.7174967Z 8 RETURN_VALUE 2022-11-23T01:37:55.7175027Z 2022-11-23T01:37:55.7175032Z 2022-11-23T01:37:55.7175301Z [2022-11-23 01:37:24,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.7175516Z [2022-11-23 01:37:24,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.7175787Z [2022-11-23 01:37:24,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.7176068Z [2022-11-23 01:37:24,536] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.7176314Z [2022-11-23 01:37:24,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.7176550Z [2022-11-23 01:37:24,537] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7176888Z [2022-11-23 01:37:24,537] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.7177176Z [2022-11-23 01:37:24,538] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7177412Z [2022-11-23 01:37:24,538] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.7177670Z [2022-11-23 01:37:24,539] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.7177922Z [2022-11-23 01:37:24,542] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.7178120Z [2022-11-23 01:37:24,542] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.7178254Z __compiled_fn_500 .3819 opcode, name, target, args, kwargs 2022-11-23T01:37:55.7178343Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.7178417Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.7178601Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.7178696Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.7178702Z 2022-11-23T01:37:55.7179224Z [2022-11-23 01:37:24,543] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7179326Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.7179416Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7179510Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.7179602Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.7179665Z 8 RETURN_VALUE 2022-11-23T01:37:55.7179670Z 2022-11-23T01:37:55.7179730Z 2022-11-23T01:37:55.7180011Z [2022-11-23 01:37:24,543] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7180120Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_500) 2022-11-23T01:37:55.7180210Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7180303Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7180379Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.7180454Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7180544Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.7180624Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.7180715Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.7180820Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7180923Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7181013Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7181089Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.7181165Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.7181240Z 26 RETURN_VALUE 2022-11-23T01:37:55.7181245Z 2022-11-23T01:37:55.7181310Z 2022-11-23T01:37:55.7181498Z [2022-11-23 01:37:24,544] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.7181573Z - 2022-11-23T01:37:55.7181697Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.7181764Z { 2022-11-23T01:37:55.7181896Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.7182088Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.7182268Z 'obj_weakref': None 2022-11-23T01:37:55.7182501Z 'guarded_class': 2022-11-23T01:37:55.7182568Z } 2022-11-23T01:37:55.7182631Z 2022-11-23T01:37:55.7182705Z - 2022-11-23T01:37:55.7182819Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.7182886Z { 2022-11-23T01:37:55.7183032Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7183143Z 'code': None, 2022-11-23T01:37:55.7183363Z 'obj_weakref': 2022-11-23T01:37:55.7183662Z 'guarded_class': 2022-11-23T01:37:55.7183727Z } 2022-11-23T01:37:55.7183777Z 2022-11-23T01:37:55.7183850Z - 2022-11-23T01:37:55.7183977Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.7184049Z { 2022-11-23T01:37:55.7184200Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7184312Z 'code': None, 2022-11-23T01:37:55.7184528Z 'obj_weakref': 2022-11-23T01:37:55.7184775Z 'guarded_class': 2022-11-23T01:37:55.7184842Z } 2022-11-23T01:37:55.7184908Z 2022-11-23T01:37:55.7184983Z - 2022-11-23T01:37:55.7185117Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.7185190Z { 2022-11-23T01:37:55.7185331Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.7185491Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.7185613Z 'obj_weakref': None 2022-11-23T01:37:55.7185848Z 'guarded_class': 2022-11-23T01:37:55.7185914Z } 2022-11-23T01:37:55.7185979Z 2022-11-23T01:37:55.7186051Z - 2022-11-23T01:37:55.7186174Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.7186226Z { 2022-11-23T01:37:55.7186365Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.7186584Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.7186707Z 'obj_weakref': None 2022-11-23T01:37:55.7186933Z 'guarded_class': 2022-11-23T01:37:55.7187001Z } 2022-11-23T01:37:55.7187070Z 2022-11-23T01:37:55.7187318Z [2022-11-23 01:37:24,549] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 492 2022-11-23T01:37:55.7187693Z [2022-11-23 01:37:26,061] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3m/c3mal3jcjrayhk45jhiiys5xgudy5xwnmfhaszzowsknbjl2ivov.py 2022-11-23T01:37:55.7187961Z [2022-11-23 01:37:26,062] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 492 2022-11-23T01:37:55.7187967Z 2022-11-23T01:37:55.7188061Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.7188200Z import torch 2022-11-23T01:37:55.7188278Z import random 2022-11-23T01:37:55.7188395Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.7188516Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.7188522Z 2022-11-23T01:37:55.7188586Z aten = torch.ops.aten 2022-11-23T01:37:55.7188718Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.7188814Z async_compile = AsyncCompile() 2022-11-23T01:37:55.7188819Z 2022-11-23T01:37:55.7188823Z 2022-11-23T01:37:55.7188963Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.7189168Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.7189319Z extern "C" void kernel(const int* __restrict__ in_ptr0, 2022-11-23T01:37:55.7189430Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.7189531Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.7189579Z { 2022-11-23T01:37:55.7189655Z #pragma GCC ivdep 2022-11-23T01:37:55.7189737Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.7189799Z { 2022-11-23T01:37:55.7189863Z { 2022-11-23T01:37:55.7189926Z { 2022-11-23T01:37:55.7190014Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.7190089Z auto tmp2 = in_ptr1[i0]; 2022-11-23T01:37:55.7190194Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:37:55.7190311Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:37:55.7190394Z out_ptr0[i0] = tmp3; 2022-11-23T01:37:55.7190456Z } 2022-11-23T01:37:55.7190516Z } 2022-11-23T01:37:55.7190564Z } 2022-11-23T01:37:55.7190623Z } 2022-11-23T01:37:55.7190705Z ''') 2022-11-23T01:37:55.7190711Z 2022-11-23T01:37:55.7190718Z 2022-11-23T01:37:55.7190810Z async_compile.wait(globals()) 2022-11-23T01:37:55.7190882Z del async_compile 2022-11-23T01:37:55.7190887Z 2022-11-23T01:37:55.7190956Z def call(args): 2022-11-23T01:37:55.7191033Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.7191102Z args.clear() 2022-11-23T01:37:55.7191288Z buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7191453Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.7191524Z del arg0_1 2022-11-23T01:37:55.7191594Z del arg1_1 2022-11-23T01:37:55.7191668Z return (buf0, ) 2022-11-23T01:37:55.7191673Z 2022-11-23T01:37:55.7191677Z 2022-11-23T01:37:55.7191751Z if __name__ == "__main__": 2022-11-23T01:37:55.7191864Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.7191973Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.7192171Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:37:55.7192369Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7192483Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.7192488Z 2022-11-23T01:37:55.7192554Z ok (1.534s) 2022-11-23T01:37:55.7192896Z test_cpu_int_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:26,069] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.7193171Z [2022-11-23 01:37:26,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.7193397Z [2022-11-23 01:37:26,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.7193656Z [2022-11-23 01:37:26,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.7193935Z [2022-11-23 01:37:26,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.7194260Z [2022-11-23 01:37:26,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.7194596Z [2022-11-23 01:37:26,070] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.7194688Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.7194779Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.7194853Z 4 BINARY_ADD 2022-11-23T01:37:55.7194947Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.7195024Z 8 RETURN_VALUE 2022-11-23T01:37:55.7195071Z 2022-11-23T01:37:55.7195076Z 2022-11-23T01:37:55.7195345Z [2022-11-23 01:37:26,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.7195589Z [2022-11-23 01:37:26,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.7195832Z [2022-11-23 01:37:26,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.7196108Z [2022-11-23 01:37:26,070] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.7196354Z [2022-11-23 01:37:26,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.7196604Z [2022-11-23 01:37:26,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7196976Z [2022-11-23 01:37:26,072] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.7197227Z [2022-11-23 01:37:26,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7197552Z [2022-11-23 01:37:26,072] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.7197919Z [2022-11-23 01:37:26,073] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.7198230Z [2022-11-23 01:37:26,076] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.7198423Z [2022-11-23 01:37:26,077] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.7198558Z __compiled_fn_501 .3825 opcode, name, target, args, kwargs 2022-11-23T01:37:55.7198649Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.7198736Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.7198924Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.7199009Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.7199026Z 2022-11-23T01:37:55.7199295Z [2022-11-23 01:37:26,077] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7199391Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.7199483Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7199578Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.7199668Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.7199743Z 8 RETURN_VALUE 2022-11-23T01:37:55.7199748Z 2022-11-23T01:37:55.7199809Z 2022-11-23T01:37:55.7200074Z [2022-11-23 01:37:26,077] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7200183Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_501) 2022-11-23T01:37:55.7200274Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7200366Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7200443Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.7200531Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7200618Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.7200692Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.7200767Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.7200869Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7200970Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7201057Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7201133Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.7201221Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.7201295Z 26 RETURN_VALUE 2022-11-23T01:37:55.7201300Z 2022-11-23T01:37:55.7201349Z 2022-11-23T01:37:55.7201534Z [2022-11-23 01:37:26,078] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.7201606Z - 2022-11-23T01:37:55.7201729Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.7201793Z { 2022-11-23T01:37:55.7201932Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.7202167Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.7202277Z 'obj_weakref': None 2022-11-23T01:37:55.7202500Z 'guarded_class': 2022-11-23T01:37:55.7202566Z } 2022-11-23T01:37:55.7202629Z 2022-11-23T01:37:55.7202701Z - 2022-11-23T01:37:55.7202828Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.7202892Z { 2022-11-23T01:37:55.7203023Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7203130Z 'code': None, 2022-11-23T01:37:55.7203345Z 'obj_weakref': 2022-11-23T01:37:55.7203658Z 'guarded_class': 2022-11-23T01:37:55.7203724Z } 2022-11-23T01:37:55.7203785Z 2022-11-23T01:37:55.7203856Z - 2022-11-23T01:37:55.7203971Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.7204036Z { 2022-11-23T01:37:55.7204180Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7204291Z 'code': None, 2022-11-23T01:37:55.7204506Z 'obj_weakref': 2022-11-23T01:37:55.7204762Z 'guarded_class': 2022-11-23T01:37:55.7204824Z } 2022-11-23T01:37:55.7204875Z 2022-11-23T01:37:55.7204946Z - 2022-11-23T01:37:55.7205079Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.7205147Z { 2022-11-23T01:37:55.7205283Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.7205457Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.7205582Z 'obj_weakref': None 2022-11-23T01:37:55.7205804Z 'guarded_class': 2022-11-23T01:37:55.7205870Z } 2022-11-23T01:37:55.7205933Z 2022-11-23T01:37:55.7206004Z - 2022-11-23T01:37:55.7206128Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.7206190Z { 2022-11-23T01:37:55.7206328Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.7206534Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.7206654Z 'obj_weakref': None 2022-11-23T01:37:55.7206876Z 'guarded_class': 2022-11-23T01:37:55.7206944Z } 2022-11-23T01:37:55.7207006Z 2022-11-23T01:37:55.7207271Z [2022-11-23 01:37:26,084] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 493 2022-11-23T01:37:55.7207637Z [2022-11-23 01:37:27,589] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ux/cux7n322x3q62ci5def3uiegaahe4xjfcxwogdqzpapow445pl54.py 2022-11-23T01:37:55.7207905Z [2022-11-23 01:37:27,590] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 493 2022-11-23T01:37:55.7207910Z 2022-11-23T01:37:55.7207992Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.7208060Z import torch 2022-11-23T01:37:55.7208130Z import random 2022-11-23T01:37:55.7208244Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.7208366Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.7208370Z 2022-11-23T01:37:55.7208449Z aten = torch.ops.aten 2022-11-23T01:37:55.7208586Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.7208665Z async_compile = AsyncCompile() 2022-11-23T01:37:55.7208682Z 2022-11-23T01:37:55.7208686Z 2022-11-23T01:37:55.7208809Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.7209014Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.7209159Z extern "C" void kernel(const int* __restrict__ in_ptr0, 2022-11-23T01:37:55.7209266Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.7209364Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.7209424Z { 2022-11-23T01:37:55.7209502Z #pragma GCC ivdep 2022-11-23T01:37:55.7209569Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.7209628Z { 2022-11-23T01:37:55.7209705Z #pragma GCC ivdep 2022-11-23T01:37:55.7209787Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:37:55.7209848Z { 2022-11-23T01:37:55.7209912Z { 2022-11-23T01:37:55.7210010Z { 2022-11-23T01:37:55.7210088Z auto tmp0 = in_ptr0[i1]; 2022-11-23T01:37:55.7210178Z auto tmp2 = in_ptr1[i0]; 2022-11-23T01:37:55.7210284Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:37:55.7210374Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:37:55.7210468Z out_ptr0[i1 + (10*i0)] = tmp3; 2022-11-23T01:37:55.7210534Z } 2022-11-23T01:37:55.7210596Z } 2022-11-23T01:37:55.7210646Z } 2022-11-23T01:37:55.7210707Z } 2022-11-23T01:37:55.7210766Z } 2022-11-23T01:37:55.7210847Z ''') 2022-11-23T01:37:55.7210853Z 2022-11-23T01:37:55.7210857Z 2022-11-23T01:37:55.7210946Z async_compile.wait(globals()) 2022-11-23T01:37:55.7211016Z del async_compile 2022-11-23T01:37:55.7211021Z 2022-11-23T01:37:55.7211091Z def call(args): 2022-11-23T01:37:55.7211152Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.7211223Z args.clear() 2022-11-23T01:37:55.7211434Z buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7211599Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.7211667Z del arg0_1 2022-11-23T01:37:55.7211734Z del arg1_1 2022-11-23T01:37:55.7211802Z return (buf0, ) 2022-11-23T01:37:55.7211809Z 2022-11-23T01:37:55.7211814Z 2022-11-23T01:37:55.7211877Z if __name__ == "__main__": 2022-11-23T01:37:55.7211989Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.7212110Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.7212309Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:37:55.7212520Z arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7212636Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.7212641Z 2022-11-23T01:37:55.7212706Z ok (1.528s) 2022-11-23T01:37:55.7213052Z test_cpu_int_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:27,597] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.7213328Z [2022-11-23 01:37:27,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.7213539Z [2022-11-23 01:37:27,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.7213795Z [2022-11-23 01:37:27,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.7214085Z [2022-11-23 01:37:27,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.7214411Z [2022-11-23 01:37:27,597] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.7214746Z [2022-11-23 01:37:27,598] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.7214841Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.7214933Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.7215007Z 4 BINARY_ADD 2022-11-23T01:37:55.7215085Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.7215190Z 8 RETURN_VALUE 2022-11-23T01:37:55.7215254Z 2022-11-23T01:37:55.7215259Z 2022-11-23T01:37:55.7215529Z [2022-11-23 01:37:27,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.7215743Z [2022-11-23 01:37:27,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.7215985Z [2022-11-23 01:37:27,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.7216261Z [2022-11-23 01:37:27,598] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.7216537Z [2022-11-23 01:37:27,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.7216785Z [2022-11-23 01:37:27,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7217111Z [2022-11-23 01:37:27,600] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.7217361Z [2022-11-23 01:37:27,600] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7217599Z [2022-11-23 01:37:27,600] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.7217856Z [2022-11-23 01:37:27,602] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.7218107Z [2022-11-23 01:37:27,604] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.7218302Z [2022-11-23 01:37:27,605] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.7218437Z __compiled_fn_502 .3831 opcode, name, target, args, kwargs 2022-11-23T01:37:55.7218525Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.7218597Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.7218949Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.7219104Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.7219111Z 2022-11-23T01:37:55.7219404Z [2022-11-23 01:37:27,605] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7219498Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.7219591Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7219684Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.7219773Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.7219839Z 8 RETURN_VALUE 2022-11-23T01:37:55.7219857Z 2022-11-23T01:37:55.7219903Z 2022-11-23T01:37:55.7220178Z [2022-11-23 01:37:27,605] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7220291Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_502) 2022-11-23T01:37:55.7220384Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7220475Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7220555Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.7220645Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7220719Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.7220796Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.7220886Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.7220990Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7221091Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7221182Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7221260Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.7221335Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.7221412Z 26 RETURN_VALUE 2022-11-23T01:37:55.7221417Z 2022-11-23T01:37:55.7221478Z 2022-11-23T01:37:55.7221733Z [2022-11-23 01:37:27,606] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.7221810Z - 2022-11-23T01:37:55.7221937Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.7222003Z { 2022-11-23T01:37:55.7222132Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.7222325Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.7222449Z 'obj_weakref': None 2022-11-23T01:37:55.7222678Z 'guarded_class': 2022-11-23T01:37:55.7222745Z } 2022-11-23T01:37:55.7222809Z 2022-11-23T01:37:55.7222920Z - 2022-11-23T01:37:55.7223034Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.7223100Z { 2022-11-23T01:37:55.7223245Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7223356Z 'code': None, 2022-11-23T01:37:55.7223579Z 'obj_weakref': 2022-11-23T01:37:55.7223837Z 'guarded_class': 2022-11-23T01:37:55.7223902Z } 2022-11-23T01:37:55.7223952Z 2022-11-23T01:37:55.7224027Z - 2022-11-23T01:37:55.7224155Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.7224219Z { 2022-11-23T01:37:55.7224368Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7224478Z 'code': None, 2022-11-23T01:37:55.7224695Z 'obj_weakref': 2022-11-23T01:37:55.7224942Z 'guarded_class': 2022-11-23T01:37:55.7225009Z } 2022-11-23T01:37:55.7225072Z 2022-11-23T01:37:55.7225147Z - 2022-11-23T01:37:55.7225281Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.7225351Z { 2022-11-23T01:37:55.7225488Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.7225647Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.7225768Z 'obj_weakref': None 2022-11-23T01:37:55.7226000Z 'guarded_class': 2022-11-23T01:37:55.7226067Z } 2022-11-23T01:37:55.7226131Z 2022-11-23T01:37:55.7226204Z - 2022-11-23T01:37:55.7226326Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.7226376Z { 2022-11-23T01:37:55.7226518Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.7226742Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.7226864Z 'obj_weakref': None 2022-11-23T01:37:55.7227085Z 'guarded_class': 2022-11-23T01:37:55.7227154Z } 2022-11-23T01:37:55.7227218Z 2022-11-23T01:37:55.7227467Z [2022-11-23 01:37:27,612] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 494 2022-11-23T01:37:55.7227841Z [2022-11-23 01:37:28,983] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kq/ckqvi3ggg7kbtl34vbvstke65jaum6qwxcffwnyacwrukg5yhjob.py 2022-11-23T01:37:55.7228169Z [2022-11-23 01:37:28,984] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 494 2022-11-23T01:37:55.7228176Z 2022-11-23T01:37:55.7228275Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.7228349Z import torch 2022-11-23T01:37:55.7228418Z import random 2022-11-23T01:37:55.7228533Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.7228655Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.7228660Z 2022-11-23T01:37:55.7228724Z aten = torch.ops.aten 2022-11-23T01:37:55.7228893Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.7228991Z async_compile = AsyncCompile() 2022-11-23T01:37:55.7228997Z 2022-11-23T01:37:55.7229001Z 2022-11-23T01:37:55.7229140Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.7229351Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.7229468Z extern "C" void kernel(const int* __restrict__ in_ptr0, 2022-11-23T01:37:55.7229573Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.7229672Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.7229721Z { 2022-11-23T01:37:55.7229832Z #pragma GCC ivdep 2022-11-23T01:37:55.7229913Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.7229973Z { 2022-11-23T01:37:55.7230035Z { 2022-11-23T01:37:55.7230097Z { 2022-11-23T01:37:55.7230184Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.7230260Z auto tmp2 = in_ptr1[0]; 2022-11-23T01:37:55.7230367Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:37:55.7230456Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:37:55.7230537Z out_ptr0[i0] = tmp3; 2022-11-23T01:37:55.7230599Z } 2022-11-23T01:37:55.7230659Z } 2022-11-23T01:37:55.7230718Z } 2022-11-23T01:37:55.7230765Z } 2022-11-23T01:37:55.7230846Z ''') 2022-11-23T01:37:55.7230851Z 2022-11-23T01:37:55.7230855Z 2022-11-23T01:37:55.7230944Z async_compile.wait(globals()) 2022-11-23T01:37:55.7231015Z del async_compile 2022-11-23T01:37:55.7231019Z 2022-11-23T01:37:55.7231090Z def call(args): 2022-11-23T01:37:55.7231165Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.7231238Z args.clear() 2022-11-23T01:37:55.7231424Z buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7231586Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.7231653Z del arg0_1 2022-11-23T01:37:55.7231718Z del arg1_1 2022-11-23T01:37:55.7231792Z return (buf0, ) 2022-11-23T01:37:55.7231797Z 2022-11-23T01:37:55.7231802Z 2022-11-23T01:37:55.7231877Z if __name__ == "__main__": 2022-11-23T01:37:55.7231990Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.7232112Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.7232295Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:37:55.7232489Z arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7232603Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.7232611Z 2022-11-23T01:37:55.7232675Z ok (1.394s) 2022-11-23T01:37:55.7233007Z test_cpu_int_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:28,992] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.7233287Z [2022-11-23 01:37:28,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.7233506Z [2022-11-23 01:37:28,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.7233762Z [2022-11-23 01:37:28,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.7234049Z [2022-11-23 01:37:28,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.7234360Z [2022-11-23 01:37:28,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.7234692Z [2022-11-23 01:37:28,992] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.7234786Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.7234875Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.7234948Z 4 BINARY_ADD 2022-11-23T01:37:55.7235071Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.7235147Z 8 RETURN_VALUE 2022-11-23T01:37:55.7235194Z 2022-11-23T01:37:55.7235210Z 2022-11-23T01:37:55.7235469Z [2022-11-23 01:37:28,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.7235679Z [2022-11-23 01:37:28,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.7235919Z [2022-11-23 01:37:28,992] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.7236197Z [2022-11-23 01:37:28,993] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.7236476Z [2022-11-23 01:37:28,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.7236724Z [2022-11-23 01:37:28,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7237062Z [2022-11-23 01:37:28,994] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.7237312Z [2022-11-23 01:37:28,994] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7237549Z [2022-11-23 01:37:28,994] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.7237793Z [2022-11-23 01:37:28,996] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.7238044Z [2022-11-23 01:37:28,999] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.7238238Z [2022-11-23 01:37:28,999] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.7238373Z __compiled_fn_503 .3837 opcode, name, target, args, kwargs 2022-11-23T01:37:55.7238463Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.7238552Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.7238737Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.7238833Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.7238838Z 2022-11-23T01:37:55.7239106Z [2022-11-23 01:37:28,999] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7239199Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.7239290Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7239380Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.7239471Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.7239545Z 8 RETURN_VALUE 2022-11-23T01:37:55.7239551Z 2022-11-23T01:37:55.7239610Z 2022-11-23T01:37:55.7239883Z [2022-11-23 01:37:29,000] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7239981Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_503) 2022-11-23T01:37:55.7240069Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7240158Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7240235Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.7240322Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7240409Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.7240483Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.7240558Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.7240659Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7240767Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7240854Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7240928Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.7241015Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.7241088Z 26 RETURN_VALUE 2022-11-23T01:37:55.7241093Z 2022-11-23T01:37:55.7241140Z 2022-11-23T01:37:55.7241352Z [2022-11-23 01:37:29,000] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.7241427Z - 2022-11-23T01:37:55.7241548Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.7241615Z { 2022-11-23T01:37:55.7241759Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.7241949Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.7242060Z 'obj_weakref': None 2022-11-23T01:37:55.7242285Z 'guarded_class': 2022-11-23T01:37:55.7242382Z } 2022-11-23T01:37:55.7242444Z 2022-11-23T01:37:55.7242515Z - 2022-11-23T01:37:55.7242641Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.7242705Z { 2022-11-23T01:37:55.7242836Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7242944Z 'code': None, 2022-11-23T01:37:55.7243160Z 'obj_weakref': 2022-11-23T01:37:55.7243417Z 'guarded_class': 2022-11-23T01:37:55.7243482Z } 2022-11-23T01:37:55.7243544Z 2022-11-23T01:37:55.7243613Z - 2022-11-23T01:37:55.7243724Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.7243787Z { 2022-11-23T01:37:55.7243932Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7244040Z 'code': None, 2022-11-23T01:37:55.7244254Z 'obj_weakref': 2022-11-23T01:37:55.7244513Z 'guarded_class': 2022-11-23T01:37:55.7244577Z } 2022-11-23T01:37:55.7244625Z 2022-11-23T01:37:55.7244694Z - 2022-11-23T01:37:55.7244829Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.7244893Z { 2022-11-23T01:37:55.7245030Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.7245204Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.7245327Z 'obj_weakref': None 2022-11-23T01:37:55.7245549Z 'guarded_class': 2022-11-23T01:37:55.7245613Z } 2022-11-23T01:37:55.7245675Z 2022-11-23T01:37:55.7245749Z - 2022-11-23T01:37:55.7245872Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.7245939Z { 2022-11-23T01:37:55.7246077Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.7246284Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.7246405Z 'obj_weakref': None 2022-11-23T01:37:55.7246630Z 'guarded_class': 2022-11-23T01:37:55.7246695Z } 2022-11-23T01:37:55.7246755Z 2022-11-23T01:37:55.7247018Z [2022-11-23 01:37:29,006] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 495 2022-11-23T01:37:55.7247380Z [2022-11-23 01:37:30,379] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/z7/cz7o67y6isi7qj2yst265eob7tkf2cr75wpmmhnwpk2ow62hnwmy.py 2022-11-23T01:37:55.7247649Z [2022-11-23 01:37:30,380] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 495 2022-11-23T01:37:55.7247656Z 2022-11-23T01:37:55.7247751Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.7247807Z import torch 2022-11-23T01:37:55.7247876Z import random 2022-11-23T01:37:55.7247990Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.7248112Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.7248116Z 2022-11-23T01:37:55.7248193Z aten = torch.ops.aten 2022-11-23T01:37:55.7248357Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.7248451Z async_compile = AsyncCompile() 2022-11-23T01:37:55.7248456Z 2022-11-23T01:37:55.7248460Z 2022-11-23T01:37:55.7248584Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.7248790Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.7248906Z extern "C" void kernel(const int* __restrict__ in_ptr0, 2022-11-23T01:37:55.7249011Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.7249111Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.7249217Z { 2022-11-23T01:37:55.7249293Z #pragma GCC ivdep 2022-11-23T01:37:55.7249363Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.7249423Z { 2022-11-23T01:37:55.7249500Z #pragma GCC ivdep 2022-11-23T01:37:55.7249582Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:37:55.7249643Z { 2022-11-23T01:37:55.7249704Z { 2022-11-23T01:37:55.7249769Z { 2022-11-23T01:37:55.7249849Z auto tmp0 = in_ptr0[i1]; 2022-11-23T01:37:55.7249946Z auto tmp2 = in_ptr1[i1 + (10*i0)]; 2022-11-23T01:37:55.7250053Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:37:55.7250143Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:37:55.7250235Z out_ptr0[i1 + (10*i0)] = tmp3; 2022-11-23T01:37:55.7250299Z } 2022-11-23T01:37:55.7250362Z } 2022-11-23T01:37:55.7250412Z } 2022-11-23T01:37:55.7250471Z } 2022-11-23T01:37:55.7250530Z } 2022-11-23T01:37:55.7250614Z ''') 2022-11-23T01:37:55.7250619Z 2022-11-23T01:37:55.7250623Z 2022-11-23T01:37:55.7250711Z async_compile.wait(globals()) 2022-11-23T01:37:55.7250781Z del async_compile 2022-11-23T01:37:55.7250786Z 2022-11-23T01:37:55.7250854Z def call(args): 2022-11-23T01:37:55.7250915Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.7250984Z args.clear() 2022-11-23T01:37:55.7251187Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7251350Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.7251417Z del arg0_1 2022-11-23T01:37:55.7251483Z del arg1_1 2022-11-23T01:37:55.7251553Z return (buf0, ) 2022-11-23T01:37:55.7251558Z 2022-11-23T01:37:55.7251562Z 2022-11-23T01:37:55.7251635Z if __name__ == "__main__": 2022-11-23T01:37:55.7251736Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.7251858Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.7252057Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:37:55.7252262Z arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7252375Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.7252380Z 2022-11-23T01:37:55.7252444Z ok (1.396s) 2022-11-23T01:37:55.7252781Z test_cpu_int_double (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:30,388] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.7253054Z [2022-11-23 01:37:30,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.7253264Z [2022-11-23 01:37:30,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.7253520Z [2022-11-23 01:37:30,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.7253809Z [2022-11-23 01:37:30,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.7254139Z [2022-11-23 01:37:30,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.7254503Z [2022-11-23 01:37:30,388] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.7254596Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.7254686Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.7254758Z 4 BINARY_ADD 2022-11-23T01:37:55.7254848Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.7254911Z 8 RETURN_VALUE 2022-11-23T01:37:55.7254971Z 2022-11-23T01:37:55.7254976Z 2022-11-23T01:37:55.7255248Z [2022-11-23 01:37:30,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.7255492Z [2022-11-23 01:37:30,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.7255733Z [2022-11-23 01:37:30,388] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.7256011Z [2022-11-23 01:37:30,389] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.7256255Z [2022-11-23 01:37:30,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.7256506Z [2022-11-23 01:37:30,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7256834Z [2022-11-23 01:37:30,390] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.7257083Z [2022-11-23 01:37:30,390] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7257322Z [2022-11-23 01:37:30,390] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.7257578Z [2022-11-23 01:37:30,392] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.7257832Z [2022-11-23 01:37:30,395] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.7258024Z [2022-11-23 01:37:30,395] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.7258158Z __compiled_fn_504 .3843 opcode, name, target, args, kwargs 2022-11-23T01:37:55.7258246Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.7258336Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.7258505Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.7258600Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.7258605Z 2022-11-23T01:37:55.7259135Z [2022-11-23 01:37:30,396] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7259246Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.7259335Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7259427Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.7259520Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.7259596Z 8 RETURN_VALUE 2022-11-23T01:37:55.7259602Z 2022-11-23T01:37:55.7259648Z 2022-11-23T01:37:55.7259928Z [2022-11-23 01:37:30,396] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7260042Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_504) 2022-11-23T01:37:55.7260133Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7260224Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7260304Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.7260394Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7260472Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.7260549Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.7260638Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.7260743Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7260847Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7260989Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7261070Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.7261146Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.7261221Z 26 RETURN_VALUE 2022-11-23T01:37:55.7261226Z 2022-11-23T01:37:55.7261286Z 2022-11-23T01:37:55.7261476Z [2022-11-23 01:37:30,397] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.7261551Z - 2022-11-23T01:37:55.7261673Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.7261740Z { 2022-11-23T01:37:55.7261868Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.7262138Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.7262258Z 'obj_weakref': None 2022-11-23T01:37:55.7262487Z 'guarded_class': 2022-11-23T01:37:55.7262552Z } 2022-11-23T01:37:55.7262618Z 2022-11-23T01:37:55.7262694Z - 2022-11-23T01:37:55.7262808Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.7262874Z { 2022-11-23T01:37:55.7263021Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7263131Z 'code': None, 2022-11-23T01:37:55.7263347Z 'obj_weakref': 2022-11-23T01:37:55.7263604Z 'guarded_class': 2022-11-23T01:37:55.7263671Z } 2022-11-23T01:37:55.7263740Z 2022-11-23T01:37:55.7263803Z - 2022-11-23T01:37:55.7263928Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.7263994Z { 2022-11-23T01:37:55.7264139Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7264248Z 'code': None, 2022-11-23T01:37:55.7264465Z 'obj_weakref': 2022-11-23T01:37:55.7264720Z 'guarded_class': 2022-11-23T01:37:55.7264771Z } 2022-11-23T01:37:55.7264835Z 2022-11-23T01:37:55.7264907Z - 2022-11-23T01:37:55.7265041Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.7265106Z { 2022-11-23T01:37:55.7265243Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.7265401Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.7265524Z 'obj_weakref': None 2022-11-23T01:37:55.7265760Z 'guarded_class': 2022-11-23T01:37:55.7265826Z } 2022-11-23T01:37:55.7265891Z 2022-11-23T01:37:55.7265964Z - 2022-11-23T01:37:55.7266091Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.7266142Z { 2022-11-23T01:37:55.7266283Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.7266503Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.7266624Z 'obj_weakref': None 2022-11-23T01:37:55.7266845Z 'guarded_class': 2022-11-23T01:37:55.7266910Z } 2022-11-23T01:37:55.7266971Z 2022-11-23T01:37:55.7267234Z [2022-11-23 01:37:30,403] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 496 2022-11-23T01:37:55.7267594Z [2022-11-23 01:37:31,793] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/b5/cb5icdkdan7d6sbm3dh7lngrw3f3un4rnciptf62w74ghioethww.py 2022-11-23T01:37:55.7267864Z [2022-11-23 01:37:31,794] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 496 2022-11-23T01:37:55.7267870Z 2022-11-23T01:37:55.7267964Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.7268061Z import torch 2022-11-23T01:37:55.7268215Z import random 2022-11-23T01:37:55.7268337Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.7268460Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.7268465Z 2022-11-23T01:37:55.7268544Z aten = torch.ops.aten 2022-11-23T01:37:55.7268665Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.7268759Z async_compile = AsyncCompile() 2022-11-23T01:37:55.7268764Z 2022-11-23T01:37:55.7268769Z 2022-11-23T01:37:55.7268911Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.7269119Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.7269274Z extern "C" void kernel(const int* __restrict__ in_ptr0, 2022-11-23T01:37:55.7269382Z const double* __restrict__ in_ptr1, 2022-11-23T01:37:55.7269481Z double* __restrict__ out_ptr0) 2022-11-23T01:37:55.7269542Z { 2022-11-23T01:37:55.7269608Z #pragma GCC ivdep 2022-11-23T01:37:55.7269688Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.7269749Z { 2022-11-23T01:37:55.7269827Z #pragma GCC ivdep 2022-11-23T01:37:55.7269913Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:37:55.7269977Z { 2022-11-23T01:37:55.7270027Z { 2022-11-23T01:37:55.7270089Z { 2022-11-23T01:37:55.7270182Z auto tmp0 = in_ptr0[i1]; 2022-11-23T01:37:55.7270279Z auto tmp2 = in_ptr1[i1 + (10*i0)]; 2022-11-23T01:37:55.7270388Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:37:55.7270482Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:37:55.7270575Z out_ptr0[i1 + (10*i0)] = tmp3; 2022-11-23T01:37:55.7270627Z } 2022-11-23T01:37:55.7270688Z } 2022-11-23T01:37:55.7270749Z } 2022-11-23T01:37:55.7270808Z } 2022-11-23T01:37:55.7270865Z } 2022-11-23T01:37:55.7270946Z ''') 2022-11-23T01:37:55.7270951Z 2022-11-23T01:37:55.7270958Z 2022-11-23T01:37:55.7271047Z async_compile.wait(globals()) 2022-11-23T01:37:55.7271106Z del async_compile 2022-11-23T01:37:55.7271122Z 2022-11-23T01:37:55.7271179Z def call(args): 2022-11-23T01:37:55.7271253Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.7271324Z args.clear() 2022-11-23T01:37:55.7271527Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:37:55.7271690Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.7271757Z del arg0_1 2022-11-23T01:37:55.7271824Z del arg1_1 2022-11-23T01:37:55.7271885Z return (buf0, ) 2022-11-23T01:37:55.7271890Z 2022-11-23T01:37:55.7271894Z 2022-11-23T01:37:55.7271972Z if __name__ == "__main__": 2022-11-23T01:37:55.7272086Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.7272207Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.7272407Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:37:55.7272612Z arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:37:55.7272725Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.7272729Z 2022-11-23T01:37:55.7272797Z ok (1.414s) 2022-11-23T01:37:55.7273115Z test_cpu_int_int (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:31,802] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.7273387Z [2022-11-23 01:37:31,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.7273613Z [2022-11-23 01:37:31,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.7273871Z [2022-11-23 01:37:31,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.7274216Z [2022-11-23 01:37:31,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.7274549Z [2022-11-23 01:37:31,802] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.7274886Z [2022-11-23 01:37:31,802] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.7274980Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.7275070Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.7275131Z 4 BINARY_ADD 2022-11-23T01:37:55.7275250Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.7275327Z 8 RETURN_VALUE 2022-11-23T01:37:55.7275387Z 2022-11-23T01:37:55.7275392Z 2022-11-23T01:37:55.7275663Z [2022-11-23 01:37:31,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.7275881Z [2022-11-23 01:37:31,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.7276123Z [2022-11-23 01:37:31,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.7276401Z [2022-11-23 01:37:31,803] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.7276633Z [2022-11-23 01:37:31,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.7276883Z [2022-11-23 01:37:31,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7277223Z [2022-11-23 01:37:31,804] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.7277470Z [2022-11-23 01:37:31,804] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7277710Z [2022-11-23 01:37:31,804] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.7277968Z [2022-11-23 01:37:31,805] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.7278220Z [2022-11-23 01:37:31,809] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.7278412Z [2022-11-23 01:37:31,809] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.7278547Z __compiled_fn_505 .3849 opcode, name, target, args, kwargs 2022-11-23T01:37:55.7278622Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.7278713Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.7278894Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.7278989Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.7278995Z 2022-11-23T01:37:55.7279275Z [2022-11-23 01:37:31,809] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7279372Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.7279462Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7279555Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.7279632Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.7279708Z 8 RETURN_VALUE 2022-11-23T01:37:55.7279713Z 2022-11-23T01:37:55.7279774Z 2022-11-23T01:37:55.7280052Z [2022-11-23 01:37:31,809] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7280159Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_505) 2022-11-23T01:37:55.7280288Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7280419Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7280519Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.7280614Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7280739Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.7280815Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.7280903Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.7281006Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7281106Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7281193Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7281256Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.7281343Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.7281418Z 26 RETURN_VALUE 2022-11-23T01:37:55.7281423Z 2022-11-23T01:37:55.7281512Z 2022-11-23T01:37:55.7281705Z [2022-11-23 01:37:31,810] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.7281777Z - 2022-11-23T01:37:55.7281898Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.7281950Z { 2022-11-23T01:37:55.7282094Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.7282288Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.7282414Z 'obj_weakref': None 2022-11-23T01:37:55.7282643Z 'guarded_class': 2022-11-23T01:37:55.7282706Z } 2022-11-23T01:37:55.7282768Z 2022-11-23T01:37:55.7282825Z - 2022-11-23T01:37:55.7282949Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.7283011Z { 2022-11-23T01:37:55.7283157Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7283268Z 'code': None, 2022-11-23T01:37:55.7283480Z 'obj_weakref': 2022-11-23T01:37:55.7283740Z 'guarded_class': 2022-11-23T01:37:55.7283794Z } 2022-11-23T01:37:55.7283855Z 2022-11-23T01:37:55.7283927Z - 2022-11-23T01:37:55.7284053Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.7284116Z { 2022-11-23T01:37:55.7284260Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7284368Z 'code': None, 2022-11-23T01:37:55.7284570Z 'obj_weakref': 2022-11-23T01:37:55.7284823Z 'guarded_class': 2022-11-23T01:37:55.7284887Z } 2022-11-23T01:37:55.7284949Z 2022-11-23T01:37:55.7285020Z - 2022-11-23T01:37:55.7285153Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.7285218Z { 2022-11-23T01:37:55.7285341Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.7285513Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.7285634Z 'obj_weakref': None 2022-11-23T01:37:55.7285872Z 'guarded_class': 2022-11-23T01:37:55.7285936Z } 2022-11-23T01:37:55.7285997Z 2022-11-23T01:37:55.7286068Z - 2022-11-23T01:37:55.7286179Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.7286241Z { 2022-11-23T01:37:55.7286382Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.7286599Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.7286765Z 'obj_weakref': None 2022-11-23T01:37:55.7287027Z 'guarded_class': 2022-11-23T01:37:55.7287094Z } 2022-11-23T01:37:55.7287143Z 2022-11-23T01:37:55.7287404Z [2022-11-23 01:37:31,816] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 497 2022-11-23T01:37:55.7287818Z [2022-11-23 01:37:33,184] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bo/cbooecoyj3n3hjlm67ryq5dgocmh3jnf4gxkyipatc4skzwse5ed.py 2022-11-23T01:37:55.7288090Z [2022-11-23 01:37:33,184] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 497 2022-11-23T01:37:55.7288096Z 2022-11-23T01:37:55.7288189Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.7288256Z import torch 2022-11-23T01:37:55.7288323Z import random 2022-11-23T01:37:55.7288439Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.7288547Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.7288552Z 2022-11-23T01:37:55.7288628Z aten = torch.ops.aten 2022-11-23T01:37:55.7288793Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.7288885Z async_compile = AsyncCompile() 2022-11-23T01:37:55.7288890Z 2022-11-23T01:37:55.7288894Z 2022-11-23T01:37:55.7289032Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.7289239Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.7289358Z extern "C" void kernel(const int* __restrict__ in_ptr0, 2022-11-23T01:37:55.7289461Z const int* __restrict__ in_ptr1, 2022-11-23T01:37:55.7289544Z int* __restrict__ out_ptr0) 2022-11-23T01:37:55.7289604Z { 2022-11-23T01:37:55.7289680Z #pragma GCC ivdep 2022-11-23T01:37:55.7289762Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.7289825Z { 2022-11-23T01:37:55.7289887Z { 2022-11-23T01:37:55.7289948Z { 2022-11-23T01:37:55.7290024Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.7290111Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.7290198Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.7290280Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.7290345Z } 2022-11-23T01:37:55.7290412Z } 2022-11-23T01:37:55.7290460Z } 2022-11-23T01:37:55.7290521Z } 2022-11-23T01:37:55.7290603Z ''') 2022-11-23T01:37:55.7290609Z 2022-11-23T01:37:55.7290615Z 2022-11-23T01:37:55.7290705Z async_compile.wait(globals()) 2022-11-23T01:37:55.7290777Z del async_compile 2022-11-23T01:37:55.7290782Z 2022-11-23T01:37:55.7290851Z def call(args): 2022-11-23T01:37:55.7290937Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.7291050Z args.clear() 2022-11-23T01:37:55.7291319Z buf0 = empty_strided((10, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:37:55.7291526Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.7291596Z del arg0_1 2022-11-23T01:37:55.7291663Z del arg1_1 2022-11-23T01:37:55.7291736Z return (buf0, ) 2022-11-23T01:37:55.7291741Z 2022-11-23T01:37:55.7291745Z 2022-11-23T01:37:55.7291819Z if __name__ == "__main__": 2022-11-23T01:37:55.7291934Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.7292043Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.7292243Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:37:55.7292436Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:37:55.7292551Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.7292556Z 2022-11-23T01:37:55.7292625Z ok (1.390s) 2022-11-23T01:37:55.7292961Z test_cpu_int_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:33,192] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.7293234Z [2022-11-23 01:37:33,192] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.7293458Z [2022-11-23 01:37:33,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.7293715Z [2022-11-23 01:37:33,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.7294037Z [2022-11-23 01:37:33,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.7294366Z [2022-11-23 01:37:33,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.7294704Z [2022-11-23 01:37:33,193] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.7294796Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.7294886Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.7294959Z 4 BINARY_ADD 2022-11-23T01:37:55.7295047Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.7295172Z 8 RETURN_VALUE 2022-11-23T01:37:55.7295219Z 2022-11-23T01:37:55.7295224Z 2022-11-23T01:37:55.7295493Z [2022-11-23 01:37:33,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.7295708Z [2022-11-23 01:37:33,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.7295949Z [2022-11-23 01:37:33,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.7296229Z [2022-11-23 01:37:33,193] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.7296473Z [2022-11-23 01:37:33,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.7296720Z [2022-11-23 01:37:33,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7297059Z [2022-11-23 01:37:33,195] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.7297309Z [2022-11-23 01:37:33,195] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7297538Z [2022-11-23 01:37:33,195] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.7297797Z [2022-11-23 01:37:33,196] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.7298046Z [2022-11-23 01:37:33,200] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.7298238Z [2022-11-23 01:37:33,200] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.7298373Z __compiled_fn_506 .3855 opcode, name, target, args, kwargs 2022-11-23T01:37:55.7298462Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.7298547Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.7298868Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.7299008Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.7299033Z 2022-11-23T01:37:55.7299322Z [2022-11-23 01:37:33,201] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7299422Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.7299515Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7299612Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.7299705Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.7299784Z 8 RETURN_VALUE 2022-11-23T01:37:55.7299790Z 2022-11-23T01:37:55.7299851Z 2022-11-23T01:37:55.7300114Z [2022-11-23 01:37:33,201] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7300225Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_506) 2022-11-23T01:37:55.7300320Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7300413Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7300493Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.7300585Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7300674Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.7300798Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.7300892Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.7300997Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7301101Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7301191Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7301268Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.7301358Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.7301434Z 26 RETURN_VALUE 2022-11-23T01:37:55.7301439Z 2022-11-23T01:37:55.7301488Z 2022-11-23T01:37:55.7301722Z [2022-11-23 01:37:33,201] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.7301796Z - 2022-11-23T01:37:55.7301920Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.7301987Z { 2022-11-23T01:37:55.7302132Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.7302326Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.7302437Z 'obj_weakref': None 2022-11-23T01:37:55.7302665Z 'guarded_class': 2022-11-23T01:37:55.7302731Z } 2022-11-23T01:37:55.7302795Z 2022-11-23T01:37:55.7302868Z - 2022-11-23T01:37:55.7302996Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.7303059Z { 2022-11-23T01:37:55.7303191Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7303306Z 'code': None, 2022-11-23T01:37:55.7303524Z 'obj_weakref': 2022-11-23T01:37:55.7303782Z 'guarded_class': 2022-11-23T01:37:55.7303850Z } 2022-11-23T01:37:55.7303914Z 2022-11-23T01:37:55.7303987Z - 2022-11-23T01:37:55.7304098Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.7304165Z { 2022-11-23T01:37:55.7304313Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7304423Z 'code': None, 2022-11-23T01:37:55.7304637Z 'obj_weakref': 2022-11-23T01:37:55.7304896Z 'guarded_class': 2022-11-23T01:37:55.7304962Z } 2022-11-23T01:37:55.7305011Z 2022-11-23T01:37:55.7305083Z - 2022-11-23T01:37:55.7305215Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.7305281Z { 2022-11-23T01:37:55.7305420Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.7305592Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.7305714Z 'obj_weakref': None 2022-11-23T01:37:55.7305937Z 'guarded_class': 2022-11-23T01:37:55.7306001Z } 2022-11-23T01:37:55.7306064Z 2022-11-23T01:37:55.7306136Z - 2022-11-23T01:37:55.7306259Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.7306321Z { 2022-11-23T01:37:55.7306458Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.7306664Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.7306783Z 'obj_weakref': None 2022-11-23T01:37:55.7307012Z 'guarded_class': 2022-11-23T01:37:55.7307080Z } 2022-11-23T01:37:55.7307142Z 2022-11-23T01:37:55.7307403Z [2022-11-23 01:37:33,208] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 498 2022-11-23T01:37:55.7307804Z [2022-11-23 01:37:34,590] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/sn/csnegum5j5ztet3jr2wuxdn7aqtwj735rlcw75yl4lrheiavg5qw.py 2022-11-23T01:37:55.7308075Z [2022-11-23 01:37:34,590] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 498 2022-11-23T01:37:55.7308081Z 2022-11-23T01:37:55.7308243Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.7308315Z import torch 2022-11-23T01:37:55.7308383Z import random 2022-11-23T01:37:55.7308498Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.7308618Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.7308623Z 2022-11-23T01:37:55.7308700Z aten = torch.ops.aten 2022-11-23T01:37:55.7308833Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.7308950Z async_compile = AsyncCompile() 2022-11-23T01:37:55.7308969Z 2022-11-23T01:37:55.7308973Z 2022-11-23T01:37:55.7309100Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.7309307Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.7309427Z extern "C" void kernel(const int* __restrict__ in_ptr0, 2022-11-23T01:37:55.7309536Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.7309636Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.7309698Z { 2022-11-23T01:37:55.7309774Z #pragma GCC ivdep 2022-11-23T01:37:55.7309842Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.7309902Z { 2022-11-23T01:37:55.7309981Z #pragma GCC ivdep 2022-11-23T01:37:55.7310062Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:37:55.7310124Z { 2022-11-23T01:37:55.7310187Z { 2022-11-23T01:37:55.7310249Z { 2022-11-23T01:37:55.7310332Z auto tmp0 = in_ptr0[i1]; 2022-11-23T01:37:55.7310433Z auto tmp2 = in_ptr1[(2*i1) + (30*i0)]; 2022-11-23T01:37:55.7310538Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:37:55.7310628Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:37:55.7310722Z out_ptr0[i1 + (10*i0)] = tmp3; 2022-11-23T01:37:55.7310786Z } 2022-11-23T01:37:55.7310852Z } 2022-11-23T01:37:55.7310901Z } 2022-11-23T01:37:55.7310962Z } 2022-11-23T01:37:55.7311019Z } 2022-11-23T01:37:55.7311099Z ''') 2022-11-23T01:37:55.7311104Z 2022-11-23T01:37:55.7311108Z 2022-11-23T01:37:55.7311196Z async_compile.wait(globals()) 2022-11-23T01:37:55.7311266Z del async_compile 2022-11-23T01:37:55.7311271Z 2022-11-23T01:37:55.7311340Z def call(args): 2022-11-23T01:37:55.7311402Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.7311471Z args.clear() 2022-11-23T01:37:55.7311672Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7311838Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.7311904Z del arg0_1 2022-11-23T01:37:55.7311970Z del arg1_1 2022-11-23T01:37:55.7312041Z return (buf0, ) 2022-11-23T01:37:55.7312046Z 2022-11-23T01:37:55.7312052Z 2022-11-23T01:37:55.7312115Z if __name__ == "__main__": 2022-11-23T01:37:55.7312226Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.7312348Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.7312544Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:37:55.7312748Z arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7312863Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.7312868Z 2022-11-23T01:37:55.7312935Z ok (1.406s) 2022-11-23T01:37:55.7313276Z test_cpu_int_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:34,599] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.7313551Z [2022-11-23 01:37:34,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.7313790Z [2022-11-23 01:37:34,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.7314052Z [2022-11-23 01:37:34,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.7314342Z [2022-11-23 01:37:34,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.7314669Z [2022-11-23 01:37:34,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.7315004Z [2022-11-23 01:37:34,599] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.7315129Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.7315221Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.7315295Z 4 BINARY_ADD 2022-11-23T01:37:55.7315371Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.7315448Z 8 RETURN_VALUE 2022-11-23T01:37:55.7315510Z 2022-11-23T01:37:55.7315515Z 2022-11-23T01:37:55.7315783Z [2022-11-23 01:37:34,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.7315995Z [2022-11-23 01:37:34,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.7316238Z [2022-11-23 01:37:34,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.7316515Z [2022-11-23 01:37:34,599] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.7316765Z [2022-11-23 01:37:34,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.7317014Z [2022-11-23 01:37:34,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7317344Z [2022-11-23 01:37:34,601] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.7317592Z [2022-11-23 01:37:34,601] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7317828Z [2022-11-23 01:37:34,601] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.7318086Z [2022-11-23 01:37:34,602] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.7318339Z [2022-11-23 01:37:34,606] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.7318533Z [2022-11-23 01:37:34,606] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.7318669Z __compiled_fn_507 .3861 opcode, name, target, args, kwargs 2022-11-23T01:37:55.7318758Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.7318831Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.7319012Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.7319108Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.7319113Z 2022-11-23T01:37:55.7319392Z [2022-11-23 01:37:34,607] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7319485Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.7319577Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7319669Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.7319759Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.7319821Z 8 RETURN_VALUE 2022-11-23T01:37:55.7319829Z 2022-11-23T01:37:55.7319888Z 2022-11-23T01:37:55.7320163Z [2022-11-23 01:37:34,607] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7320272Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_507) 2022-11-23T01:37:55.7320391Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7320481Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7320557Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.7320643Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7320717Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.7320792Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.7320882Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.7320985Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7321087Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7321206Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7321281Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.7321356Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.7321430Z 26 RETURN_VALUE 2022-11-23T01:37:55.7321435Z 2022-11-23T01:37:55.7321495Z 2022-11-23T01:37:55.7321684Z [2022-11-23 01:37:34,608] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.7321755Z - 2022-11-23T01:37:55.7321877Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.7321942Z { 2022-11-23T01:37:55.7322071Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.7322258Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.7322380Z 'obj_weakref': None 2022-11-23T01:37:55.7322606Z 'guarded_class': 2022-11-23T01:37:55.7322670Z } 2022-11-23T01:37:55.7322732Z 2022-11-23T01:37:55.7322807Z - 2022-11-23T01:37:55.7322920Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.7322984Z { 2022-11-23T01:37:55.7323128Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7323237Z 'code': None, 2022-11-23T01:37:55.7323453Z 'obj_weakref': 2022-11-23T01:37:55.7323714Z 'guarded_class': 2022-11-23T01:37:55.7323779Z } 2022-11-23T01:37:55.7323828Z 2022-11-23T01:37:55.7323898Z - 2022-11-23T01:37:55.7324023Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.7324085Z { 2022-11-23T01:37:55.7324230Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7324339Z 'code': None, 2022-11-23T01:37:55.7324556Z 'obj_weakref': 2022-11-23T01:37:55.7324798Z 'guarded_class': 2022-11-23T01:37:55.7324861Z } 2022-11-23T01:37:55.7324923Z 2022-11-23T01:37:55.7324993Z - 2022-11-23T01:37:55.7325125Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.7325190Z { 2022-11-23T01:37:55.7325327Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.7325487Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.7325606Z 'obj_weakref': None 2022-11-23T01:37:55.7325838Z 'guarded_class': 2022-11-23T01:37:55.7325902Z } 2022-11-23T01:37:55.7325962Z 2022-11-23T01:37:55.7326033Z - 2022-11-23T01:37:55.7326155Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.7326204Z { 2022-11-23T01:37:55.7326342Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.7326564Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.7326685Z 'obj_weakref': None 2022-11-23T01:37:55.7326907Z 'guarded_class': 2022-11-23T01:37:55.7326970Z } 2022-11-23T01:37:55.7327060Z 2022-11-23T01:37:55.7327313Z [2022-11-23 01:37:34,614] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 499 2022-11-23T01:37:55.7327684Z [2022-11-23 01:37:35,991] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/x6/cx6u3k7dvzspmav43qx7uf52kgpurbk2sxpwdurztgzr56jmit26.py 2022-11-23T01:37:55.7327950Z [2022-11-23 01:37:35,992] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 499 2022-11-23T01:37:55.7327956Z 2022-11-23T01:37:55.7328049Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.7328120Z import torch 2022-11-23T01:37:55.7328221Z import random 2022-11-23T01:37:55.7328336Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.7328457Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.7328462Z 2022-11-23T01:37:55.7328527Z aten = torch.ops.aten 2022-11-23T01:37:55.7328659Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.7328752Z async_compile = AsyncCompile() 2022-11-23T01:37:55.7328757Z 2022-11-23T01:37:55.7328761Z 2022-11-23T01:37:55.7328897Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.7329104Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.7329218Z extern "C" void kernel(const int* __restrict__ in_ptr0, 2022-11-23T01:37:55.7329324Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.7329424Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.7329471Z { 2022-11-23T01:37:55.7329546Z #pragma GCC ivdep 2022-11-23T01:37:55.7329630Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.7329691Z { 2022-11-23T01:37:55.7329767Z #pragma GCC ivdep 2022-11-23T01:37:55.7329847Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:37:55.7329910Z { 2022-11-23T01:37:55.7329960Z { 2022-11-23T01:37:55.7330022Z { 2022-11-23T01:37:55.7330115Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.7330214Z auto tmp2 = in_ptr1[i1 + (10*i0)]; 2022-11-23T01:37:55.7330320Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:37:55.7330410Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:37:55.7330506Z out_ptr0[i1 + (10*i0)] = tmp3; 2022-11-23T01:37:55.7330558Z } 2022-11-23T01:37:55.7330619Z } 2022-11-23T01:37:55.7330682Z } 2022-11-23T01:37:55.7330743Z } 2022-11-23T01:37:55.7330802Z } 2022-11-23T01:37:55.7330882Z ''') 2022-11-23T01:37:55.7330887Z 2022-11-23T01:37:55.7330894Z 2022-11-23T01:37:55.7330981Z async_compile.wait(globals()) 2022-11-23T01:37:55.7331039Z del async_compile 2022-11-23T01:37:55.7331044Z 2022-11-23T01:37:55.7331112Z def call(args): 2022-11-23T01:37:55.7331188Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.7331258Z args.clear() 2022-11-23T01:37:55.7331462Z buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7331626Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.7331694Z del arg0_1 2022-11-23T01:37:55.7331749Z del arg1_1 2022-11-23T01:37:55.7331818Z return (buf0, ) 2022-11-23T01:37:55.7331823Z 2022-11-23T01:37:55.7331827Z 2022-11-23T01:37:55.7331901Z if __name__ == "__main__": 2022-11-23T01:37:55.7332013Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.7332135Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.7332330Z arg0_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:37:55.7332536Z arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7332648Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.7332652Z 2022-11-23T01:37:55.7332706Z ok (1.402s) 2022-11-23T01:37:55.7333089Z test_cpu_strided_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:36,001] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.7333369Z [2022-11-23 01:37:36,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.7333593Z [2022-11-23 01:37:36,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.7333852Z [2022-11-23 01:37:36,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.7334142Z [2022-11-23 01:37:36,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.7334499Z [2022-11-23 01:37:36,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.7334842Z [2022-11-23 01:37:36,001] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.7334936Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.7335015Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.7335088Z 4 BINARY_ADD 2022-11-23T01:37:55.7335177Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.7335253Z 8 RETURN_VALUE 2022-11-23T01:37:55.7335312Z 2022-11-23T01:37:55.7335317Z 2022-11-23T01:37:55.7335589Z [2022-11-23 01:37:36,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.7335804Z [2022-11-23 01:37:36,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.7336049Z [2022-11-23 01:37:36,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.7336313Z [2022-11-23 01:37:36,001] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.7336560Z [2022-11-23 01:37:36,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.7336809Z [2022-11-23 01:37:36,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7337147Z [2022-11-23 01:37:36,003] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.7337395Z [2022-11-23 01:37:36,003] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7337632Z [2022-11-23 01:37:36,003] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.7337893Z [2022-11-23 01:37:36,004] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.7338145Z [2022-11-23 01:37:36,008] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.7338344Z [2022-11-23 01:37:36,008] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.7338482Z __compiled_fn_508 .3867 opcode, name, target, args, kwargs 2022-11-23T01:37:55.7338560Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.7338648Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.7339024Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.7339156Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.7339163Z 2022-11-23T01:37:55.7339452Z [2022-11-23 01:37:36,009] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7339557Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.7339649Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7339731Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.7339823Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.7339899Z 8 RETURN_VALUE 2022-11-23T01:37:55.7339904Z 2022-11-23T01:37:55.7340019Z 2022-11-23T01:37:55.7340300Z [2022-11-23 01:37:36,009] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7340413Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_508) 2022-11-23T01:37:55.7340505Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7340597Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7340661Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.7340751Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7340844Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.7340974Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.7341065Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.7341172Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7341277Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7341352Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7341431Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.7341522Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.7341597Z 26 RETURN_VALUE 2022-11-23T01:37:55.7341602Z 2022-11-23T01:37:55.7341665Z 2022-11-23T01:37:55.7341853Z [2022-11-23 01:37:36,010] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.7341927Z - 2022-11-23T01:37:55.7342036Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.7342102Z { 2022-11-23T01:37:55.7342245Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.7342437Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.7342563Z 'obj_weakref': None 2022-11-23T01:37:55.7342790Z 'guarded_class': 2022-11-23T01:37:55.7342857Z } 2022-11-23T01:37:55.7342909Z 2022-11-23T01:37:55.7342981Z - 2022-11-23T01:37:55.7343112Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.7343179Z { 2022-11-23T01:37:55.7343325Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7343436Z 'code': None, 2022-11-23T01:37:55.7343655Z 'obj_weakref': 2022-11-23T01:37:55.7343897Z 'guarded_class': 2022-11-23T01:37:55.7343966Z } 2022-11-23T01:37:55.7344031Z 2022-11-23T01:37:55.7344103Z - 2022-11-23T01:37:55.7344230Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.7344299Z { 2022-11-23T01:37:55.7344448Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7344546Z 'code': None, 2022-11-23T01:37:55.7344759Z 'obj_weakref': 2022-11-23T01:37:55.7345020Z 'guarded_class': 2022-11-23T01:37:55.7345086Z } 2022-11-23T01:37:55.7345152Z 2022-11-23T01:37:55.7345225Z - 2022-11-23T01:37:55.7345359Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.7345410Z { 2022-11-23T01:37:55.7345550Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.7345725Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.7345846Z 'obj_weakref': None 2022-11-23T01:37:55.7346077Z 'guarded_class': 2022-11-23T01:37:55.7346144Z } 2022-11-23T01:37:55.7346206Z 2022-11-23T01:37:55.7346265Z - 2022-11-23T01:37:55.7346387Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.7346453Z { 2022-11-23T01:37:55.7346593Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.7346846Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.7346970Z 'obj_weakref': None 2022-11-23T01:37:55.7347195Z 'guarded_class': 2022-11-23T01:37:55.7347247Z } 2022-11-23T01:37:55.7347308Z 2022-11-23T01:37:55.7347572Z [2022-11-23 01:37:36,016] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 500 2022-11-23T01:37:55.7347947Z [2022-11-23 01:37:37,396] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ej/cej4sivxicda3xkfvziwfzx35zhkrqxmkaagpoeuiy2k33hzcrlt.py 2022-11-23T01:37:55.7348334Z [2022-11-23 01:37:37,397] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 500 2022-11-23T01:37:55.7348341Z 2022-11-23T01:37:55.7348436Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.7348505Z import torch 2022-11-23T01:37:55.7348580Z import random 2022-11-23T01:37:55.7348685Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.7348805Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.7348810Z 2022-11-23T01:37:55.7348889Z aten = torch.ops.aten 2022-11-23T01:37:55.7349023Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.7349116Z async_compile = AsyncCompile() 2022-11-23T01:37:55.7349121Z 2022-11-23T01:37:55.7349126Z 2022-11-23T01:37:55.7349268Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.7349474Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.7349596Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.7349702Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.7349790Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.7349850Z { 2022-11-23T01:37:55.7349925Z #pragma GCC ivdep 2022-11-23T01:37:55.7350010Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.7350071Z { 2022-11-23T01:37:55.7350148Z #pragma GCC ivdep 2022-11-23T01:37:55.7350216Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:37:55.7350282Z { 2022-11-23T01:37:55.7350344Z { 2022-11-23T01:37:55.7350408Z { 2022-11-23T01:37:55.7350511Z auto tmp0 = in_ptr0[(2*i1) + (30*i0)]; 2022-11-23T01:37:55.7350602Z auto tmp1 = in_ptr1[i1]; 2022-11-23T01:37:55.7350692Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.7350772Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:37:55.7350835Z } 2022-11-23T01:37:55.7350899Z } 2022-11-23T01:37:55.7350960Z } 2022-11-23T01:37:55.7351020Z } 2022-11-23T01:37:55.7351080Z } 2022-11-23T01:37:55.7351159Z ''') 2022-11-23T01:37:55.7351164Z 2022-11-23T01:37:55.7351168Z 2022-11-23T01:37:55.7351244Z async_compile.wait(globals()) 2022-11-23T01:37:55.7351316Z del async_compile 2022-11-23T01:37:55.7351324Z 2022-11-23T01:37:55.7351393Z def call(args): 2022-11-23T01:37:55.7351468Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.7351537Z args.clear() 2022-11-23T01:37:55.7351740Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7351905Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.7351960Z del arg0_1 2022-11-23T01:37:55.7352027Z del arg1_1 2022-11-23T01:37:55.7352097Z return (buf0, ) 2022-11-23T01:37:55.7352102Z 2022-11-23T01:37:55.7352106Z 2022-11-23T01:37:55.7352180Z if __name__ == "__main__": 2022-11-23T01:37:55.7352297Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.7352419Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.7352624Z arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7352821Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7352961Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.7352979Z 2022-11-23T01:37:55.7353033Z ok (1.405s) 2022-11-23T01:37:55.7353385Z test_cpu_strided_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:37,405] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.7353662Z [2022-11-23 01:37:37,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.7353885Z [2022-11-23 01:37:37,405] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.7354175Z [2022-11-23 01:37:37,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.7354463Z [2022-11-23 01:37:37,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.7354794Z [2022-11-23 01:37:37,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.7355130Z [2022-11-23 01:37:37,406] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.7355222Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.7355300Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.7355371Z 4 BINARY_ADD 2022-11-23T01:37:55.7355458Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.7355534Z 8 RETURN_VALUE 2022-11-23T01:37:55.7355597Z 2022-11-23T01:37:55.7355602Z 2022-11-23T01:37:55.7355873Z [2022-11-23 01:37:37,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.7356088Z [2022-11-23 01:37:37,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.7356318Z [2022-11-23 01:37:37,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.7356598Z [2022-11-23 01:37:37,406] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.7356842Z [2022-11-23 01:37:37,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.7357092Z [2022-11-23 01:37:37,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7357431Z [2022-11-23 01:37:37,408] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.7357682Z [2022-11-23 01:37:37,408] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7357920Z [2022-11-23 01:37:37,408] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.7358178Z [2022-11-23 01:37:37,409] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.7358431Z [2022-11-23 01:37:37,413] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.7358625Z [2022-11-23 01:37:37,413] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.7358748Z __compiled_fn_509 .3873 opcode, name, target, args, kwargs 2022-11-23T01:37:55.7358838Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.7358926Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.7359107Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.7359203Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.7359208Z 2022-11-23T01:37:55.7359486Z [2022-11-23 01:37:37,413] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7359580Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.7359658Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7359784Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.7359875Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.7359951Z 8 RETURN_VALUE 2022-11-23T01:37:55.7359955Z 2022-11-23T01:37:55.7360015Z 2022-11-23T01:37:55.7360290Z [2022-11-23 01:37:37,413] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7360399Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_509) 2022-11-23T01:37:55.7360488Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7360564Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7360673Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.7360759Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7360846Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.7360921Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.7361008Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.7361114Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7361202Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7361288Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7361365Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.7361452Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.7361527Z 26 RETURN_VALUE 2022-11-23T01:37:55.7361533Z 2022-11-23T01:37:55.7361591Z 2022-11-23T01:37:55.7361776Z [2022-11-23 01:37:37,414] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.7361836Z - 2022-11-23T01:37:55.7361959Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.7362023Z { 2022-11-23T01:37:55.7362165Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.7362357Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.7362482Z 'obj_weakref': None 2022-11-23T01:37:55.7362710Z 'guarded_class': 2022-11-23T01:37:55.7362774Z } 2022-11-23T01:37:55.7362823Z 2022-11-23T01:37:55.7362895Z - 2022-11-23T01:37:55.7363023Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.7363085Z { 2022-11-23T01:37:55.7363230Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7363340Z 'code': None, 2022-11-23T01:37:55.7363545Z 'obj_weakref': 2022-11-23T01:37:55.7363801Z 'guarded_class': 2022-11-23T01:37:55.7363868Z } 2022-11-23T01:37:55.7363933Z 2022-11-23T01:37:55.7364005Z - 2022-11-23T01:37:55.7364130Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.7364194Z { 2022-11-23T01:37:55.7364323Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7364433Z 'code': None, 2022-11-23T01:37:55.7364649Z 'obj_weakref': 2022-11-23T01:37:55.7364905Z 'guarded_class': 2022-11-23T01:37:55.7364969Z } 2022-11-23T01:37:55.7365032Z 2022-11-23T01:37:55.7365103Z - 2022-11-23T01:37:55.7365222Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.7365285Z { 2022-11-23T01:37:55.7365419Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.7365593Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.7365714Z 'obj_weakref': None 2022-11-23T01:37:55.7365945Z 'guarded_class': 2022-11-23T01:37:55.7366010Z } 2022-11-23T01:37:55.7366072Z 2022-11-23T01:37:55.7366195Z - 2022-11-23T01:37:55.7366325Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.7366387Z { 2022-11-23T01:37:55.7366523Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.7366743Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.7366865Z 'obj_weakref': None 2022-11-23T01:37:55.7367090Z 'guarded_class': 2022-11-23T01:37:55.7367141Z } 2022-11-23T01:37:55.7367204Z 2022-11-23T01:37:55.7367467Z [2022-11-23 01:37:37,420] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 501 2022-11-23T01:37:55.7367879Z [2022-11-23 01:37:38,807] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/il/cilfdpgfzolmvnzc7biyzojc6y53rcaadvjxvpyxmrwslbcwjip5.py 2022-11-23T01:37:55.7368150Z [2022-11-23 01:37:38,807] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 501 2022-11-23T01:37:55.7368156Z 2022-11-23T01:37:55.7368250Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.7368319Z import torch 2022-11-23T01:37:55.7368387Z import random 2022-11-23T01:37:55.7368488Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.7368610Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.7368616Z 2022-11-23T01:37:55.7368693Z aten = torch.ops.aten 2022-11-23T01:37:55.7368826Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.7368917Z async_compile = AsyncCompile() 2022-11-23T01:37:55.7368925Z 2022-11-23T01:37:55.7368929Z 2022-11-23T01:37:55.7369065Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.7369270Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.7369389Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.7369484Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.7369583Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.7369644Z { 2022-11-23T01:37:55.7369719Z #pragma GCC ivdep 2022-11-23T01:37:55.7369798Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.7369857Z { 2022-11-23T01:37:55.7369921Z #pragma GCC ivdep 2022-11-23T01:37:55.7370001Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:37:55.7370062Z { 2022-11-23T01:37:55.7370124Z { 2022-11-23T01:37:55.7370188Z { 2022-11-23T01:37:55.7370295Z auto tmp0 = in_ptr0[(2*i1) + (30*i0)]; 2022-11-23T01:37:55.7370392Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.7370470Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.7370564Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:37:55.7370628Z } 2022-11-23T01:37:55.7370690Z } 2022-11-23T01:37:55.7370752Z } 2022-11-23T01:37:55.7370812Z } 2022-11-23T01:37:55.7370873Z } 2022-11-23T01:37:55.7370940Z ''') 2022-11-23T01:37:55.7370945Z 2022-11-23T01:37:55.7370950Z 2022-11-23T01:37:55.7371038Z async_compile.wait(globals()) 2022-11-23T01:37:55.7371109Z del async_compile 2022-11-23T01:37:55.7371114Z 2022-11-23T01:37:55.7371182Z def call(args): 2022-11-23T01:37:55.7371256Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.7371324Z args.clear() 2022-11-23T01:37:55.7371535Z buf0 = empty_strided((1, 10, 10), (100, 10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7371696Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.7371755Z del arg0_1 2022-11-23T01:37:55.7371822Z del arg1_1 2022-11-23T01:37:55.7371893Z return (buf0, ) 2022-11-23T01:37:55.7371898Z 2022-11-23T01:37:55.7371903Z 2022-11-23T01:37:55.7371977Z if __name__ == "__main__": 2022-11-23T01:37:55.7372088Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.7372237Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.7372445Z arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7372641Z arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7372755Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.7372760Z 2022-11-23T01:37:55.7372826Z ok (1.410s) 2022-11-23T01:37:55.7373176Z test_cpu_strided_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:38,815] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.7373481Z [2022-11-23 01:37:38,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.7373703Z [2022-11-23 01:37:38,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.7373961Z [2022-11-23 01:37:38,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.7374250Z [2022-11-23 01:37:38,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.7374577Z [2022-11-23 01:37:38,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.7374915Z [2022-11-23 01:37:38,816] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.7374996Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.7375092Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.7375166Z 4 BINARY_ADD 2022-11-23T01:37:55.7375255Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.7375330Z 8 RETURN_VALUE 2022-11-23T01:37:55.7375390Z 2022-11-23T01:37:55.7375395Z 2022-11-23T01:37:55.7375663Z [2022-11-23 01:37:38,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.7375863Z [2022-11-23 01:37:38,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.7376102Z [2022-11-23 01:37:38,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.7376380Z [2022-11-23 01:37:38,816] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.7376624Z [2022-11-23 01:37:38,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.7376875Z [2022-11-23 01:37:38,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7377222Z [2022-11-23 01:37:38,818] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.7377479Z [2022-11-23 01:37:38,818] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7377724Z [2022-11-23 01:37:38,818] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.7377984Z [2022-11-23 01:37:38,819] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.7378238Z [2022-11-23 01:37:38,823] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.7378419Z [2022-11-23 01:37:38,823] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.7378554Z __compiled_fn_510 .3879 opcode, name, target, args, kwargs 2022-11-23T01:37:55.7378646Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.7378880Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.7379145Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.7379247Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.7379252Z 2022-11-23T01:37:55.7379606Z [2022-11-23 01:37:38,824] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7379704Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.7379783Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7379878Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.7379969Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.7380049Z 8 RETURN_VALUE 2022-11-23T01:37:55.7380054Z 2022-11-23T01:37:55.7380116Z 2022-11-23T01:37:55.7380399Z [2022-11-23 01:37:38,824] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7380552Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_510) 2022-11-23T01:37:55.7380631Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7380723Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7380800Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.7380892Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7380981Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.7381059Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.7381149Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.7381241Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7381348Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7381437Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7381514Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.7381607Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.7381686Z 26 RETURN_VALUE 2022-11-23T01:37:55.7381691Z 2022-11-23T01:37:55.7381755Z 2022-11-23T01:37:55.7381945Z [2022-11-23 01:37:38,824] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.7382005Z - 2022-11-23T01:37:55.7382128Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.7382193Z { 2022-11-23T01:37:55.7382338Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.7382531Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.7382654Z 'obj_weakref': None 2022-11-23T01:37:55.7382881Z 'guarded_class': 2022-11-23T01:37:55.7382934Z } 2022-11-23T01:37:55.7382998Z 2022-11-23T01:37:55.7383072Z - 2022-11-23T01:37:55.7383202Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.7383266Z { 2022-11-23T01:37:55.7383412Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7383512Z 'code': None, 2022-11-23T01:37:55.7383726Z 'obj_weakref': 2022-11-23T01:37:55.7383983Z 'guarded_class': 2022-11-23T01:37:55.7384052Z } 2022-11-23T01:37:55.7384118Z 2022-11-23T01:37:55.7384188Z - 2022-11-23T01:37:55.7384316Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.7384380Z { 2022-11-23T01:37:55.7384511Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7384618Z 'code': None, 2022-11-23T01:37:55.7384833Z 'obj_weakref': 2022-11-23T01:37:55.7385086Z 'guarded_class': 2022-11-23T01:37:55.7385151Z } 2022-11-23T01:37:55.7385216Z 2022-11-23T01:37:55.7385288Z - 2022-11-23T01:37:55.7385406Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.7385469Z { 2022-11-23T01:37:55.7385603Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.7385775Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.7385930Z 'obj_weakref': None 2022-11-23T01:37:55.7386165Z 'guarded_class': 2022-11-23T01:37:55.7386228Z } 2022-11-23T01:37:55.7386277Z 2022-11-23T01:37:55.7386348Z - 2022-11-23T01:37:55.7386472Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.7386534Z { 2022-11-23T01:37:55.7386672Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.7386892Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.7387011Z 'obj_weakref': None 2022-11-23T01:37:55.7387278Z 'guarded_class': 2022-11-23T01:37:55.7387382Z } 2022-11-23T01:37:55.7387481Z 2022-11-23T01:37:55.7387789Z [2022-11-23 01:37:38,831] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 502 2022-11-23T01:37:55.7388228Z [2022-11-23 01:37:40,221] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/yw/cywv64v5z2dppjj4qranliz2rssbbyygbknleevq36xw76a5sqjf.py 2022-11-23T01:37:55.7388503Z [2022-11-23 01:37:40,221] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 502 2022-11-23T01:37:55.7388509Z 2022-11-23T01:37:55.7388606Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.7388676Z import torch 2022-11-23T01:37:55.7388733Z import random 2022-11-23T01:37:55.7388848Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.7388970Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.7388978Z 2022-11-23T01:37:55.7389056Z aten = torch.ops.aten 2022-11-23T01:37:55.7389193Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.7389287Z async_compile = AsyncCompile() 2022-11-23T01:37:55.7389292Z 2022-11-23T01:37:55.7389297Z 2022-11-23T01:37:55.7389433Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.7389642Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.7389749Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.7389855Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.7389957Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.7390018Z { 2022-11-23T01:37:55.7390095Z #pragma GCC ivdep 2022-11-23T01:37:55.7390175Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.7390236Z { 2022-11-23T01:37:55.7390301Z #pragma GCC ivdep 2022-11-23T01:37:55.7390387Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:37:55.7390452Z { 2022-11-23T01:37:55.7390515Z { 2022-11-23T01:37:55.7390579Z { 2022-11-23T01:37:55.7390681Z auto tmp0 = in_ptr0[(2*i1) + (30*i0)]; 2022-11-23T01:37:55.7390760Z auto tmp1 = in_ptr1[0]; 2022-11-23T01:37:55.7390853Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.7390945Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:37:55.7391010Z } 2022-11-23T01:37:55.7391073Z } 2022-11-23T01:37:55.7391136Z } 2022-11-23T01:37:55.7391197Z } 2022-11-23T01:37:55.7391244Z } 2022-11-23T01:37:55.7391323Z ''') 2022-11-23T01:37:55.7391330Z 2022-11-23T01:37:55.7391334Z 2022-11-23T01:37:55.7391422Z async_compile.wait(globals()) 2022-11-23T01:37:55.7391493Z del async_compile 2022-11-23T01:37:55.7391498Z 2022-11-23T01:37:55.7391567Z def call(args): 2022-11-23T01:37:55.7391641Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.7391714Z args.clear() 2022-11-23T01:37:55.7391919Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7392070Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.7392136Z del arg0_1 2022-11-23T01:37:55.7392201Z del arg1_1 2022-11-23T01:37:55.7392320Z return (buf0, ) 2022-11-23T01:37:55.7392326Z 2022-11-23T01:37:55.7392330Z 2022-11-23T01:37:55.7392406Z if __name__ == "__main__": 2022-11-23T01:37:55.7392518Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.7392640Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.7392829Z arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7393023Z arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7393137Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.7393142Z 2022-11-23T01:37:55.7393241Z ok (1.414s) 2022-11-23T01:37:55.7393585Z test_cpu_strided_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:40,230] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.7393862Z [2022-11-23 01:37:40,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.7394090Z [2022-11-23 01:37:40,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.7394347Z [2022-11-23 01:37:40,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.7394642Z [2022-11-23 01:37:40,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.7394954Z [2022-11-23 01:37:40,230] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.7395292Z [2022-11-23 01:37:40,230] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.7395387Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.7395478Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.7395550Z 4 BINARY_ADD 2022-11-23T01:37:55.7395642Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.7395718Z 8 RETURN_VALUE 2022-11-23T01:37:55.7395777Z 2022-11-23T01:37:55.7395782Z 2022-11-23T01:37:55.7396038Z [2022-11-23 01:37:40,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.7396251Z [2022-11-23 01:37:40,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.7396490Z [2022-11-23 01:37:40,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.7396772Z [2022-11-23 01:37:40,231] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.7397019Z [2022-11-23 01:37:40,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.7397269Z [2022-11-23 01:37:40,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7397610Z [2022-11-23 01:37:40,232] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.7397860Z [2022-11-23 01:37:40,232] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7398098Z [2022-11-23 01:37:40,232] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.7398355Z [2022-11-23 01:37:40,233] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.7398595Z [2022-11-23 01:37:40,237] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.7398789Z [2022-11-23 01:37:40,238] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.7398921Z __compiled_fn_511 .3885 opcode, name, target, args, kwargs 2022-11-23T01:37:55.7399009Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.7399126Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.7399312Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.7399405Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.7399410Z 2022-11-23T01:37:55.7399691Z [2022-11-23 01:37:40,238] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7399772Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.7399861Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7399953Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.7400041Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.7400148Z 8 RETURN_VALUE 2022-11-23T01:37:55.7400154Z 2022-11-23T01:37:55.7400212Z 2022-11-23T01:37:55.7400490Z [2022-11-23 01:37:40,238] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7400590Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_511) 2022-11-23T01:37:55.7400680Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7400768Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7400844Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.7400934Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7401021Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.7401095Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.7401171Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.7401275Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7401378Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7401468Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7401542Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.7401630Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.7401707Z 26 RETURN_VALUE 2022-11-23T01:37:55.7401712Z 2022-11-23T01:37:55.7401771Z 2022-11-23T01:37:55.7401946Z [2022-11-23 01:37:40,239] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.7402016Z - 2022-11-23T01:37:55.7402138Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.7402200Z { 2022-11-23T01:37:55.7402342Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.7402532Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.7402654Z 'obj_weakref': None 2022-11-23T01:37:55.7402866Z 'guarded_class': 2022-11-23T01:37:55.7402933Z } 2022-11-23T01:37:55.7402999Z 2022-11-23T01:37:55.7403072Z - 2022-11-23T01:37:55.7403197Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.7403260Z { 2022-11-23T01:37:55.7403406Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7403502Z 'code': None, 2022-11-23T01:37:55.7403716Z 'obj_weakref': 2022-11-23T01:37:55.7403971Z 'guarded_class': 2022-11-23T01:37:55.7404036Z } 2022-11-23T01:37:55.7404098Z 2022-11-23T01:37:55.7404171Z - 2022-11-23T01:37:55.7404296Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.7404346Z { 2022-11-23T01:37:55.7404491Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7404601Z 'code': None, 2022-11-23T01:37:55.7404815Z 'obj_weakref': 2022-11-23T01:37:55.7405074Z 'guarded_class': 2022-11-23T01:37:55.7405139Z } 2022-11-23T01:37:55.7405203Z 2022-11-23T01:37:55.7405260Z - 2022-11-23T01:37:55.7405392Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.7405483Z { 2022-11-23T01:37:55.7405624Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.7405798Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.7405919Z 'obj_weakref': None 2022-11-23T01:37:55.7406150Z 'guarded_class': 2022-11-23T01:37:55.7406201Z } 2022-11-23T01:37:55.7406262Z 2022-11-23T01:37:55.7406332Z - 2022-11-23T01:37:55.7406454Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.7406516Z { 2022-11-23T01:37:55.7406687Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.7406906Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.7407014Z 'obj_weakref': None 2022-11-23T01:37:55.7407239Z 'guarded_class': 2022-11-23T01:37:55.7407302Z } 2022-11-23T01:37:55.7407365Z 2022-11-23T01:37:55.7407627Z [2022-11-23 01:37:40,245] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 503 2022-11-23T01:37:55.7407997Z [2022-11-23 01:37:41,624] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/4o/c4ob7karbvbf3ouz7ro4y5wurfa7ghrdjmhauvnsuzgsxvy5qhdv.py 2022-11-23T01:37:55.7408265Z [2022-11-23 01:37:41,625] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 503 2022-11-23T01:37:55.7408271Z 2022-11-23T01:37:55.7408363Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.7408423Z import torch 2022-11-23T01:37:55.7408492Z import random 2022-11-23T01:37:55.7408606Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.7408725Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.7408729Z 2022-11-23T01:37:55.7408810Z aten = torch.ops.aten 2022-11-23T01:37:55.7408944Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.7409033Z async_compile = AsyncCompile() 2022-11-23T01:37:55.7409038Z 2022-11-23T01:37:55.7409042Z 2022-11-23T01:37:55.7409179Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.7409372Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.7409490Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.7409594Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.7409692Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.7409754Z { 2022-11-23T01:37:55.7409830Z #pragma GCC ivdep 2022-11-23T01:37:55.7409911Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.7409958Z { 2022-11-23T01:37:55.7410034Z #pragma GCC ivdep 2022-11-23T01:37:55.7410114Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:37:55.7410177Z { 2022-11-23T01:37:55.7410242Z { 2022-11-23T01:37:55.7410307Z { 2022-11-23T01:37:55.7410409Z auto tmp0 = in_ptr0[(2*i1) + (30*i0)]; 2022-11-23T01:37:55.7410496Z auto tmp1 = in_ptr1[i1 + (10*i0)]; 2022-11-23T01:37:55.7410588Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.7410680Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:37:55.7410745Z } 2022-11-23T01:37:55.7410807Z } 2022-11-23T01:37:55.7410867Z } 2022-11-23T01:37:55.7410914Z } 2022-11-23T01:37:55.7410972Z } 2022-11-23T01:37:55.7411053Z ''') 2022-11-23T01:37:55.7411058Z 2022-11-23T01:37:55.7411065Z 2022-11-23T01:37:55.7411154Z async_compile.wait(globals()) 2022-11-23T01:37:55.7411227Z del async_compile 2022-11-23T01:37:55.7411232Z 2022-11-23T01:37:55.7411302Z def call(args): 2022-11-23T01:37:55.7411379Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.7411451Z args.clear() 2022-11-23T01:37:55.7411667Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7411834Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.7411902Z del arg0_1 2022-11-23T01:37:55.7411971Z del arg1_1 2022-11-23T01:37:55.7412042Z return (buf0, ) 2022-11-23T01:37:55.7412046Z 2022-11-23T01:37:55.7412050Z 2022-11-23T01:37:55.7412126Z if __name__ == "__main__": 2022-11-23T01:37:55.7412240Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.7412350Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.7412554Z arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7412790Z arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7412907Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.7412912Z 2022-11-23T01:37:55.7412979Z ok (1.403s) 2022-11-23T01:37:55.7413325Z test_cpu_strided_double (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:41,633] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.7413601Z [2022-11-23 01:37:41,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.7413822Z [2022-11-23 01:37:41,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.7414077Z [2022-11-23 01:37:41,633] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.7414354Z [2022-11-23 01:37:41,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.7414684Z [2022-11-23 01:37:41,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.7415019Z [2022-11-23 01:37:41,634] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.7415114Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.7415204Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.7415277Z 4 BINARY_ADD 2022-11-23T01:37:55.7415366Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.7415445Z 8 RETURN_VALUE 2022-11-23T01:37:55.7415495Z 2022-11-23T01:37:55.7415500Z 2022-11-23T01:37:55.7415770Z [2022-11-23 01:37:41,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.7415981Z [2022-11-23 01:37:41,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.7416228Z [2022-11-23 01:37:41,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.7416507Z [2022-11-23 01:37:41,634] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.7416757Z [2022-11-23 01:37:41,635] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.7417007Z [2022-11-23 01:37:41,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7417352Z [2022-11-23 01:37:41,636] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.7417602Z [2022-11-23 01:37:41,636] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7417841Z [2022-11-23 01:37:41,636] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.7418088Z [2022-11-23 01:37:41,637] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.7418339Z [2022-11-23 01:37:41,641] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.7418565Z [2022-11-23 01:37:41,641] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.7418704Z __compiled_fn_512 .3891 opcode, name, target, args, kwargs 2022-11-23T01:37:55.7418970Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.7419109Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.7419312Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.7419395Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.7419414Z 2022-11-23T01:37:55.7419681Z [2022-11-23 01:37:41,641] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7419838Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.7419930Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7420024Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.7420117Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.7420194Z 8 RETURN_VALUE 2022-11-23T01:37:55.7420200Z 2022-11-23T01:37:55.7420268Z 2022-11-23T01:37:55.7420535Z [2022-11-23 01:37:41,642] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7420645Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_512) 2022-11-23T01:37:55.7420737Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7420827Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7420904Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.7420994Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7421083Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.7421161Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.7421236Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.7421345Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7421448Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7421539Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7421619Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.7421709Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.7421783Z 26 RETURN_VALUE 2022-11-23T01:37:55.7421788Z 2022-11-23T01:37:55.7421835Z 2022-11-23T01:37:55.7422020Z [2022-11-23 01:37:41,642] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.7422094Z - 2022-11-23T01:37:55.7422215Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.7422281Z { 2022-11-23T01:37:55.7422425Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.7422615Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.7422726Z 'obj_weakref': None 2022-11-23T01:37:55.7422955Z 'guarded_class': 2022-11-23T01:37:55.7423023Z } 2022-11-23T01:37:55.7423089Z 2022-11-23T01:37:55.7423163Z - 2022-11-23T01:37:55.7423294Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.7423359Z { 2022-11-23T01:37:55.7423493Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7423601Z 'code': None, 2022-11-23T01:37:55.7423820Z 'obj_weakref': 2022-11-23T01:37:55.7424074Z 'guarded_class': 2022-11-23T01:37:55.7424140Z } 2022-11-23T01:37:55.7424205Z 2022-11-23T01:37:55.7424275Z - 2022-11-23T01:37:55.7424387Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.7424454Z { 2022-11-23T01:37:55.7424598Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7424707Z 'code': None, 2022-11-23T01:37:55.7424921Z 'obj_weakref': 2022-11-23T01:37:55.7425214Z 'guarded_class': 2022-11-23T01:37:55.7425280Z } 2022-11-23T01:37:55.7425329Z 2022-11-23T01:37:55.7425398Z - 2022-11-23T01:37:55.7425532Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.7425594Z { 2022-11-23T01:37:55.7425730Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.7425900Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.7426020Z 'obj_weakref': None 2022-11-23T01:37:55.7426241Z 'guarded_class': 2022-11-23T01:37:55.7426335Z } 2022-11-23T01:37:55.7426397Z 2022-11-23T01:37:55.7426469Z - 2022-11-23T01:37:55.7426592Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.7426656Z { 2022-11-23T01:37:55.7426797Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.7427004Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.7427125Z 'obj_weakref': None 2022-11-23T01:37:55.7427345Z 'guarded_class': 2022-11-23T01:37:55.7427410Z } 2022-11-23T01:37:55.7427471Z 2022-11-23T01:37:55.7427736Z [2022-11-23 01:37:41,648] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 504 2022-11-23T01:37:55.7428182Z [2022-11-23 01:37:43,056] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/ph/cphhi2qyvcvpubgjitt4kqgquv7geqrjamjjqqvdrrupwgnh4f6e.py 2022-11-23T01:37:55.7428461Z [2022-11-23 01:37:43,057] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 504 2022-11-23T01:37:55.7428467Z 2022-11-23T01:37:55.7428547Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.7428617Z import torch 2022-11-23T01:37:55.7428686Z import random 2022-11-23T01:37:55.7428803Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.7428925Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.7428930Z 2022-11-23T01:37:55.7429008Z aten = torch.ops.aten 2022-11-23T01:37:55.7429140Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.7429219Z async_compile = AsyncCompile() 2022-11-23T01:37:55.7429236Z 2022-11-23T01:37:55.7429240Z 2022-11-23T01:37:55.7429362Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.7429571Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.7429693Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.7429802Z const double* __restrict__ in_ptr1, 2022-11-23T01:37:55.7429902Z double* __restrict__ out_ptr0) 2022-11-23T01:37:55.7429965Z { 2022-11-23T01:37:55.7430043Z #pragma GCC ivdep 2022-11-23T01:37:55.7430111Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.7430173Z { 2022-11-23T01:37:55.7430250Z #pragma GCC ivdep 2022-11-23T01:37:55.7430332Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:37:55.7430395Z { 2022-11-23T01:37:55.7430462Z { 2022-11-23T01:37:55.7430527Z { 2022-11-23T01:37:55.7430617Z auto tmp0 = in_ptr0[(2*i1) + (30*i0)]; 2022-11-23T01:37:55.7430716Z auto tmp2 = in_ptr1[i1 + (10*i0)]; 2022-11-23T01:37:55.7430825Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:37:55.7430916Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:37:55.7431009Z out_ptr0[i1 + (10*i0)] = tmp3; 2022-11-23T01:37:55.7431073Z } 2022-11-23T01:37:55.7431137Z } 2022-11-23T01:37:55.7431186Z } 2022-11-23T01:37:55.7431246Z } 2022-11-23T01:37:55.7431304Z } 2022-11-23T01:37:55.7431383Z ''') 2022-11-23T01:37:55.7431388Z 2022-11-23T01:37:55.7431393Z 2022-11-23T01:37:55.7431517Z async_compile.wait(globals()) 2022-11-23T01:37:55.7431592Z del async_compile 2022-11-23T01:37:55.7431597Z 2022-11-23T01:37:55.7431667Z def call(args): 2022-11-23T01:37:55.7431729Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.7431798Z args.clear() 2022-11-23T01:37:55.7432003Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:37:55.7432167Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.7432235Z del arg0_1 2022-11-23T01:37:55.7432302Z del arg1_1 2022-11-23T01:37:55.7432371Z return (buf0, ) 2022-11-23T01:37:55.7432420Z 2022-11-23T01:37:55.7432424Z 2022-11-23T01:37:55.7432500Z if __name__ == "__main__": 2022-11-23T01:37:55.7432602Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.7432723Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.7432927Z arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7433129Z arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:37:55.7433244Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.7433249Z 2022-11-23T01:37:55.7433315Z ok (1.432s) 2022-11-23T01:37:55.7433652Z test_cpu_strided_int (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:43,068] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.7433925Z [2022-11-23 01:37:43,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.7434133Z [2022-11-23 01:37:43,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.7434392Z [2022-11-23 01:37:43,068] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.7434680Z [2022-11-23 01:37:43,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.7435009Z [2022-11-23 01:37:43,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.7435345Z [2022-11-23 01:37:43,069] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.7435438Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.7435529Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.7435602Z 4 BINARY_ADD 2022-11-23T01:37:55.7435692Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.7435758Z 8 RETURN_VALUE 2022-11-23T01:37:55.7435819Z 2022-11-23T01:37:55.7435824Z 2022-11-23T01:37:55.7436092Z [2022-11-23 01:37:43,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.7436304Z [2022-11-23 01:37:43,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.7436545Z [2022-11-23 01:37:43,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.7436821Z [2022-11-23 01:37:43,069] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.7437067Z [2022-11-23 01:37:43,071] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.7437315Z [2022-11-23 01:37:43,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7437646Z [2022-11-23 01:37:43,072] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.7437898Z [2022-11-23 01:37:43,072] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7438133Z [2022-11-23 01:37:43,072] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.7438416Z [2022-11-23 01:37:43,074] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.7438673Z [2022-11-23 01:37:43,079] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.7438868Z [2022-11-23 01:37:43,079] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.7439006Z __compiled_fn_513 .3897 opcode, name, target, args, kwargs 2022-11-23T01:37:55.7439095Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.7439181Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.7439381Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.7439478Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.7439484Z 2022-11-23T01:37:55.7439762Z [2022-11-23 01:37:43,080] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7439857Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.7439946Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7440037Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.7440126Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.7440189Z 8 RETURN_VALUE 2022-11-23T01:37:55.7440206Z 2022-11-23T01:37:55.7440255Z 2022-11-23T01:37:55.7440532Z [2022-11-23 01:37:43,080] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7440642Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_513) 2022-11-23T01:37:55.7440734Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7440824Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7440899Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.7440985Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7441058Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.7441134Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.7441221Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.7441325Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7441426Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7441514Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7441591Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.7441665Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.7441740Z 26 RETURN_VALUE 2022-11-23T01:37:55.7441745Z 2022-11-23T01:37:55.7441804Z 2022-11-23T01:37:55.7441991Z [2022-11-23 01:37:43,081] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.7442068Z - 2022-11-23T01:37:55.7442188Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.7442253Z { 2022-11-23T01:37:55.7442381Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.7442572Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.7442698Z 'obj_weakref': None 2022-11-23T01:37:55.7442926Z 'guarded_class': 2022-11-23T01:37:55.7442990Z } 2022-11-23T01:37:55.7443052Z 2022-11-23T01:37:55.7443124Z - 2022-11-23T01:37:55.7443238Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.7443300Z { 2022-11-23T01:37:55.7443444Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7443554Z 'code': None, 2022-11-23T01:37:55.7443768Z 'obj_weakref': 2022-11-23T01:37:55.7444026Z 'guarded_class': 2022-11-23T01:37:55.7444091Z } 2022-11-23T01:37:55.7444141Z 2022-11-23T01:37:55.7444212Z - 2022-11-23T01:37:55.7444336Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.7444435Z { 2022-11-23T01:37:55.7444582Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7444691Z 'code': None, 2022-11-23T01:37:55.7444902Z 'obj_weakref': 2022-11-23T01:37:55.7445144Z 'guarded_class': 2022-11-23T01:37:55.7445208Z } 2022-11-23T01:37:55.7445271Z 2022-11-23T01:37:55.7445344Z - 2022-11-23T01:37:55.7445478Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.7445539Z { 2022-11-23T01:37:55.7445707Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.7445868Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.7445988Z 'obj_weakref': None 2022-11-23T01:37:55.7446219Z 'guarded_class': 2022-11-23T01:37:55.7446285Z } 2022-11-23T01:37:55.7446350Z 2022-11-23T01:37:55.7446423Z - 2022-11-23T01:37:55.7446547Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.7446597Z { 2022-11-23T01:37:55.7446735Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.7446954Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.7447079Z 'obj_weakref': None 2022-11-23T01:37:55.7447303Z 'guarded_class': 2022-11-23T01:37:55.7447369Z } 2022-11-23T01:37:55.7447430Z 2022-11-23T01:37:55.7447681Z [2022-11-23 01:37:43,089] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 505 2022-11-23T01:37:55.7448051Z [2022-11-23 01:37:44,484] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/66/c66qpwffzvxdznpmrcjybusj3clyjj76ffiqway7yt7gdnrkkxkc.py 2022-11-23T01:37:55.7448317Z [2022-11-23 01:37:44,484] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 505 2022-11-23T01:37:55.7448322Z 2022-11-23T01:37:55.7448416Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.7448483Z import torch 2022-11-23T01:37:55.7448551Z import random 2022-11-23T01:37:55.7448666Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.7448785Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.7448790Z 2022-11-23T01:37:55.7448866Z aten = torch.ops.aten 2022-11-23T01:37:55.7448987Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.7449082Z async_compile = AsyncCompile() 2022-11-23T01:37:55.7449087Z 2022-11-23T01:37:55.7449091Z 2022-11-23T01:37:55.7449225Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.7449430Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.7449551Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.7449654Z const int* __restrict__ in_ptr1, 2022-11-23T01:37:55.7449753Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.7449814Z { 2022-11-23T01:37:55.7449877Z #pragma GCC ivdep 2022-11-23T01:37:55.7449957Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.7450020Z { 2022-11-23T01:37:55.7450098Z #pragma GCC ivdep 2022-11-23T01:37:55.7450182Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:37:55.7450244Z { 2022-11-23T01:37:55.7450295Z { 2022-11-23T01:37:55.7450358Z { 2022-11-23T01:37:55.7450462Z auto tmp0 = in_ptr0[(2*i1) + (30*i0)]; 2022-11-23T01:37:55.7450552Z auto tmp1 = in_ptr1[i1]; 2022-11-23T01:37:55.7450658Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:37:55.7450749Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:37:55.7450871Z out_ptr0[i1 + (10*i0)] = tmp3; 2022-11-23T01:37:55.7450925Z } 2022-11-23T01:37:55.7450986Z } 2022-11-23T01:37:55.7451047Z } 2022-11-23T01:37:55.7451106Z } 2022-11-23T01:37:55.7451165Z } 2022-11-23T01:37:55.7451247Z ''') 2022-11-23T01:37:55.7451253Z 2022-11-23T01:37:55.7451257Z 2022-11-23T01:37:55.7451347Z async_compile.wait(globals()) 2022-11-23T01:37:55.7451406Z del async_compile 2022-11-23T01:37:55.7451411Z 2022-11-23T01:37:55.7451480Z def call(args): 2022-11-23T01:37:55.7451555Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.7451626Z args.clear() 2022-11-23T01:37:55.7451827Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7452024Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.7452091Z del arg0_1 2022-11-23T01:37:55.7452144Z del arg1_1 2022-11-23T01:37:55.7452214Z return (buf0, ) 2022-11-23T01:37:55.7452219Z 2022-11-23T01:37:55.7452223Z 2022-11-23T01:37:55.7452299Z if __name__ == "__main__": 2022-11-23T01:37:55.7452412Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.7452536Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.7452741Z arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7452938Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:37:55.7453051Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.7453056Z 2022-11-23T01:37:55.7453121Z ok (1.427s) 2022-11-23T01:37:55.7453453Z test_cpu_strided_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:44,493] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.7453727Z [2022-11-23 01:37:44,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.7453950Z [2022-11-23 01:37:44,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.7454210Z [2022-11-23 01:37:44,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.7454503Z [2022-11-23 01:37:44,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.7454835Z [2022-11-23 01:37:44,493] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.7455175Z [2022-11-23 01:37:44,494] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.7455271Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.7455362Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.7455423Z 4 BINARY_ADD 2022-11-23T01:37:55.7461836Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.7461972Z 8 RETURN_VALUE 2022-11-23T01:37:55.7462037Z 2022-11-23T01:37:55.7462044Z 2022-11-23T01:37:55.7462350Z [2022-11-23 01:37:44,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.7462573Z [2022-11-23 01:37:44,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.7462822Z [2022-11-23 01:37:44,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.7463102Z [2022-11-23 01:37:44,494] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.7463362Z [2022-11-23 01:37:44,495] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.7463613Z [2022-11-23 01:37:44,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7464062Z [2022-11-23 01:37:44,496] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.7464318Z [2022-11-23 01:37:44,496] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7464557Z [2022-11-23 01:37:44,496] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.7464817Z [2022-11-23 01:37:44,497] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.7465057Z [2022-11-23 01:37:44,501] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.7465297Z [2022-11-23 01:37:44,501] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.7465435Z __compiled_fn_514 .3903 opcode, name, target, args, kwargs 2022-11-23T01:37:55.7465524Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.7465611Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.7465797Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.7465890Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.7465896Z 2022-11-23T01:37:55.7466174Z [2022-11-23 01:37:44,502] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7466257Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.7466351Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7466442Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.7466531Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.7466606Z 8 RETURN_VALUE 2022-11-23T01:37:55.7466614Z 2022-11-23T01:37:55.7466675Z 2022-11-23T01:37:55.7466958Z [2022-11-23 01:37:44,502] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7467053Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_514) 2022-11-23T01:37:55.7467144Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7467237Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7467315Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.7467406Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7467495Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.7467568Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.7467657Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.7467748Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7467849Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7467937Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7468016Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.7468176Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.7468260Z 26 RETURN_VALUE 2022-11-23T01:37:55.7468265Z 2022-11-23T01:37:55.7468325Z 2022-11-23T01:37:55.7468499Z [2022-11-23 01:37:44,503] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.7468574Z - 2022-11-23T01:37:55.7468700Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.7468767Z { 2022-11-23T01:37:55.7468911Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.7469104Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.7469227Z 'obj_weakref': None 2022-11-23T01:37:55.7469441Z 'guarded_class': 2022-11-23T01:37:55.7469508Z } 2022-11-23T01:37:55.7469573Z 2022-11-23T01:37:55.7469646Z - 2022-11-23T01:37:55.7469778Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.7469843Z { 2022-11-23T01:37:55.7469990Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7470087Z 'code': None, 2022-11-23T01:37:55.7470303Z 'obj_weakref': 2022-11-23T01:37:55.7470598Z 'guarded_class': 2022-11-23T01:37:55.7470665Z } 2022-11-23T01:37:55.7470726Z 2022-11-23T01:37:55.7470796Z - 2022-11-23T01:37:55.7470921Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.7470971Z { 2022-11-23T01:37:55.7471115Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7471223Z 'code': None, 2022-11-23T01:37:55.7471438Z 'obj_weakref': 2022-11-23T01:37:55.7471692Z 'guarded_class': 2022-11-23T01:37:55.7471825Z } 2022-11-23T01:37:55.7471885Z 2022-11-23T01:37:55.7471944Z - 2022-11-23T01:37:55.7472077Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.7472137Z { 2022-11-23T01:37:55.7472277Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.7472451Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.7472573Z 'obj_weakref': None 2022-11-23T01:37:55.7472810Z 'guarded_class': 2022-11-23T01:37:55.7472861Z } 2022-11-23T01:37:55.7472924Z 2022-11-23T01:37:55.7472994Z - 2022-11-23T01:37:55.7473118Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.7473184Z { 2022-11-23T01:37:55.7473323Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.7473548Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.7473657Z 'obj_weakref': None 2022-11-23T01:37:55.7473878Z 'guarded_class': 2022-11-23T01:37:55.7473943Z } 2022-11-23T01:37:55.7474007Z 2022-11-23T01:37:55.7474271Z [2022-11-23 01:37:44,509] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 506 2022-11-23T01:37:55.7474648Z [2022-11-23 01:37:45,919] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/za/czaex64e5moepbmciwwn7qwhiabs3wudpyfsy55tgh7auhc7tdty.py 2022-11-23T01:37:55.7474916Z [2022-11-23 01:37:45,920] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 506 2022-11-23T01:37:55.7474922Z 2022-11-23T01:37:55.7475015Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.7475071Z import torch 2022-11-23T01:37:55.7475145Z import random 2022-11-23T01:37:55.7475258Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.7475377Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.7475382Z 2022-11-23T01:37:55.7475460Z aten = torch.ops.aten 2022-11-23T01:37:55.7475593Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.7475686Z async_compile = AsyncCompile() 2022-11-23T01:37:55.7475691Z 2022-11-23T01:37:55.7475696Z 2022-11-23T01:37:55.7475830Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.7476024Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.7476145Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.7476253Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.7476352Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.7476411Z { 2022-11-23T01:37:55.7476486Z #pragma GCC ivdep 2022-11-23T01:37:55.7476570Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.7476620Z { 2022-11-23T01:37:55.7476701Z #pragma GCC ivdep 2022-11-23T01:37:55.7476780Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:37:55.7476841Z { 2022-11-23T01:37:55.7476903Z { 2022-11-23T01:37:55.7476966Z { 2022-11-23T01:37:55.7477100Z auto tmp0 = in_ptr0[(2*i1) + (30*i0)]; 2022-11-23T01:37:55.7477190Z auto tmp1 = in_ptr1[(2*i1) + (30*i0)]; 2022-11-23T01:37:55.7477283Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.7477374Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:37:55.7477437Z } 2022-11-23T01:37:55.7477499Z } 2022-11-23T01:37:55.7477559Z } 2022-11-23T01:37:55.7477606Z } 2022-11-23T01:37:55.7477663Z } 2022-11-23T01:37:55.7477743Z ''') 2022-11-23T01:37:55.7477749Z 2022-11-23T01:37:55.7477753Z 2022-11-23T01:37:55.7477842Z async_compile.wait(globals()) 2022-11-23T01:37:55.7477942Z del async_compile 2022-11-23T01:37:55.7477947Z 2022-11-23T01:37:55.7478015Z def call(args): 2022-11-23T01:37:55.7478092Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.7478161Z args.clear() 2022-11-23T01:37:55.7478351Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7478518Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.7478588Z del arg0_1 2022-11-23T01:37:55.7478658Z del arg1_1 2022-11-23T01:37:55.7478730Z return (buf0, ) 2022-11-23T01:37:55.7478735Z 2022-11-23T01:37:55.7478739Z 2022-11-23T01:37:55.7478813Z if __name__ == "__main__": 2022-11-23T01:37:55.7478925Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.7479036Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.7479237Z arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7479436Z arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7479553Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.7479558Z 2022-11-23T01:37:55.7479623Z ok (1.436s) 2022-11-23T01:37:55.7479973Z test_cpu_strided_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:45,929] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.7480247Z [2022-11-23 01:37:45,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.7480468Z [2022-11-23 01:37:45,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.7480721Z [2022-11-23 01:37:45,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.7480997Z [2022-11-23 01:37:45,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.7481321Z [2022-11-23 01:37:45,929] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.7481660Z [2022-11-23 01:37:45,930] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.7481754Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.7481845Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.7481919Z 4 BINARY_ADD 2022-11-23T01:37:55.7482007Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.7482082Z 8 RETURN_VALUE 2022-11-23T01:37:55.7482131Z 2022-11-23T01:37:55.7482147Z 2022-11-23T01:37:55.7482404Z [2022-11-23 01:37:45,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.7482614Z [2022-11-23 01:37:45,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.7482855Z [2022-11-23 01:37:45,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.7483133Z [2022-11-23 01:37:45,930] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.7483374Z [2022-11-23 01:37:45,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.7483651Z [2022-11-23 01:37:45,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7483992Z [2022-11-23 01:37:45,931] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.7484241Z [2022-11-23 01:37:45,931] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7484482Z [2022-11-23 01:37:45,931] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.7484726Z [2022-11-23 01:37:45,933] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.7485027Z [2022-11-23 01:37:45,937] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.7485220Z [2022-11-23 01:37:45,937] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.7485361Z __compiled_fn_515 .3909 opcode, name, target, args, kwargs 2022-11-23T01:37:55.7485451Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.7485535Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.7485720Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.7485812Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.7485818Z 2022-11-23T01:37:55.7486083Z [2022-11-23 01:37:45,938] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7486177Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.7486270Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7486361Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.7486450Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.7486526Z 8 RETURN_VALUE 2022-11-23T01:37:55.7486531Z 2022-11-23T01:37:55.7486592Z 2022-11-23T01:37:55.7486874Z [2022-11-23 01:37:45,938] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7486973Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_515) 2022-11-23T01:37:55.7487063Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7487154Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7487231Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.7487319Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7487404Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.7487477Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.7487555Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.7487660Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7487762Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7487848Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7487927Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.7488016Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.7488091Z 26 RETURN_VALUE 2022-11-23T01:37:55.7488095Z 2022-11-23T01:37:55.7488143Z 2022-11-23T01:37:55.7488326Z [2022-11-23 01:37:45,939] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.7488398Z - 2022-11-23T01:37:55.7488522Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.7488587Z { 2022-11-23T01:37:55.7488729Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.7488921Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.7489032Z 'obj_weakref': None 2022-11-23T01:37:55.7489260Z 'guarded_class': 2022-11-23T01:37:55.7489326Z } 2022-11-23T01:37:55.7489386Z 2022-11-23T01:37:55.7489458Z - 2022-11-23T01:37:55.7489585Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.7489649Z { 2022-11-23T01:37:55.7489816Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7489930Z 'code': None, 2022-11-23T01:37:55.7490146Z 'obj_weakref': 2022-11-23T01:37:55.7490403Z 'guarded_class': 2022-11-23T01:37:55.7490469Z } 2022-11-23T01:37:55.7490531Z 2022-11-23T01:37:55.7490602Z - 2022-11-23T01:37:55.7490714Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.7490778Z { 2022-11-23T01:37:55.7490954Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7491064Z 'code': None, 2022-11-23T01:37:55.7491281Z 'obj_weakref': 2022-11-23T01:37:55.7491539Z 'guarded_class': 2022-11-23T01:37:55.7491603Z } 2022-11-23T01:37:55.7491654Z 2022-11-23T01:37:55.7491724Z - 2022-11-23T01:37:55.7491858Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.7491922Z { 2022-11-23T01:37:55.7492058Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.7492232Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.7492353Z 'obj_weakref': None 2022-11-23T01:37:55.7492572Z 'guarded_class': 2022-11-23T01:37:55.7492639Z } 2022-11-23T01:37:55.7492704Z 2022-11-23T01:37:55.7492775Z - 2022-11-23T01:37:55.7492898Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.7492959Z { 2022-11-23T01:37:55.7493096Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.7493302Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.7493422Z 'obj_weakref': None 2022-11-23T01:37:55.7493644Z 'guarded_class': 2022-11-23T01:37:55.7493706Z } 2022-11-23T01:37:55.7493766Z 2022-11-23T01:37:55.7494029Z [2022-11-23 01:37:45,945] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 507 2022-11-23T01:37:55.7494392Z [2022-11-23 01:37:47,343] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/bn/cbntt6vptuq7wfdep7i7z4qeor42qk2s5cns3gyx352zkhr4kmtp.py 2022-11-23T01:37:55.7494666Z [2022-11-23 01:37:47,344] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 507 2022-11-23T01:37:55.7494674Z 2022-11-23T01:37:55.7494766Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.7494835Z import torch 2022-11-23T01:37:55.7494904Z import random 2022-11-23T01:37:55.7495006Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.7495127Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.7495132Z 2022-11-23T01:37:55.7495209Z aten = torch.ops.aten 2022-11-23T01:37:55.7495343Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.7495434Z async_compile = AsyncCompile() 2022-11-23T01:37:55.7495440Z 2022-11-23T01:37:55.7495444Z 2022-11-23T01:37:55.7495582Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.7495786Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.7495905Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.7496000Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.7496100Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.7496160Z { 2022-11-23T01:37:55.7496237Z #pragma GCC ivdep 2022-11-23T01:37:55.7496317Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.7496377Z { 2022-11-23T01:37:55.7496484Z #pragma GCC ivdep 2022-11-23T01:37:55.7496555Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:37:55.7496619Z { 2022-11-23T01:37:55.7496681Z { 2022-11-23T01:37:55.7496745Z { 2022-11-23T01:37:55.7496847Z auto tmp0 = in_ptr0[(2*i1) + (30*i0)]; 2022-11-23T01:37:55.7496946Z auto tmp1 = in_ptr1[i0 + (10*i1)]; 2022-11-23T01:37:55.7497038Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.7497118Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:37:55.7497181Z } 2022-11-23T01:37:55.7497248Z } 2022-11-23T01:37:55.7497352Z } 2022-11-23T01:37:55.7497413Z } 2022-11-23T01:37:55.7497475Z } 2022-11-23T01:37:55.7497544Z ''') 2022-11-23T01:37:55.7497563Z 2022-11-23T01:37:55.7497567Z 2022-11-23T01:37:55.7497644Z async_compile.wait(globals()) 2022-11-23T01:37:55.7497718Z del async_compile 2022-11-23T01:37:55.7497723Z 2022-11-23T01:37:55.7497795Z def call(args): 2022-11-23T01:37:55.7497873Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.7497945Z args.clear() 2022-11-23T01:37:55.7498149Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7498316Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.7498371Z del arg0_1 2022-11-23T01:37:55.7498439Z del arg1_1 2022-11-23T01:37:55.7498513Z return (buf0, ) 2022-11-23T01:37:55.7498517Z 2022-11-23T01:37:55.7498522Z 2022-11-23T01:37:55.7498599Z if __name__ == "__main__": 2022-11-23T01:37:55.7498713Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.7499048Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.7499313Z arg0_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7499519Z arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7499626Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.7499631Z 2022-11-23T01:37:55.7499700Z ok (1.424s) 2022-11-23T01:37:55.7500057Z test_cpu_transposed_broadcast1 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:47,353] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.7500334Z [2022-11-23 01:37:47,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.7500558Z [2022-11-23 01:37:47,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.7500814Z [2022-11-23 01:37:47,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.7501112Z [2022-11-23 01:37:47,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.7501446Z [2022-11-23 01:37:47,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.7501786Z [2022-11-23 01:37:47,353] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.7501868Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.7501961Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.7502034Z 4 BINARY_ADD 2022-11-23T01:37:55.7502126Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.7502208Z 8 RETURN_VALUE 2022-11-23T01:37:55.7502270Z 2022-11-23T01:37:55.7502275Z 2022-11-23T01:37:55.7502547Z [2022-11-23 01:37:47,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.7502765Z [2022-11-23 01:37:47,353] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.7502993Z [2022-11-23 01:37:47,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.7503331Z [2022-11-23 01:37:47,354] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.7503581Z [2022-11-23 01:37:47,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.7503832Z [2022-11-23 01:37:47,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7504176Z [2022-11-23 01:37:47,355] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.7504428Z [2022-11-23 01:37:47,355] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7504715Z [2022-11-23 01:37:47,355] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.7504973Z [2022-11-23 01:37:47,356] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.7505227Z [2022-11-23 01:37:47,360] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.7505407Z [2022-11-23 01:37:47,361] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.7505546Z __compiled_fn_516 .3915 opcode, name, target, args, kwargs 2022-11-23T01:37:55.7505637Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.7505726Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.7505909Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.7506005Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.7506013Z 2022-11-23T01:37:55.7506297Z [2022-11-23 01:37:47,361] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7506393Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.7506471Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7506566Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.7506656Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.7506730Z 8 RETURN_VALUE 2022-11-23T01:37:55.7506735Z 2022-11-23T01:37:55.7506795Z 2022-11-23T01:37:55.7507067Z [2022-11-23 01:37:47,361] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7507178Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_516) 2022-11-23T01:37:55.7507267Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7507345Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7507420Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.7507511Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7507601Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.7507674Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.7507760Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.7507865Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7507953Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7508041Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7508189Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.7508293Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.7508369Z 26 RETURN_VALUE 2022-11-23T01:37:55.7508374Z 2022-11-23T01:37:55.7508434Z 2022-11-23T01:37:55.7508623Z [2022-11-23 01:37:47,362] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.7508683Z - 2022-11-23T01:37:55.7508805Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.7508873Z { 2022-11-23T01:37:55.7509016Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.7509207Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.7509329Z 'obj_weakref': None 2022-11-23T01:37:55.7509594Z 'guarded_class': 2022-11-23T01:37:55.7509649Z } 2022-11-23T01:37:55.7509713Z 2022-11-23T01:37:55.7509784Z - 2022-11-23T01:37:55.7509913Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.7509976Z { 2022-11-23T01:37:55.7510122Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7510233Z 'code': None, 2022-11-23T01:37:55.7510438Z 'obj_weakref': 2022-11-23T01:37:55.7510693Z 'guarded_class': 2022-11-23T01:37:55.7510790Z } 2022-11-23T01:37:55.7510853Z 2022-11-23T01:37:55.7510925Z - 2022-11-23T01:37:55.7511049Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.7511111Z { 2022-11-23T01:37:55.7511243Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7511350Z 'code': None, 2022-11-23T01:37:55.7511567Z 'obj_weakref': 2022-11-23T01:37:55.7511825Z 'guarded_class': 2022-11-23T01:37:55.7511889Z } 2022-11-23T01:37:55.7511950Z 2022-11-23T01:37:55.7512020Z - 2022-11-23T01:37:55.7512140Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.7512203Z { 2022-11-23T01:37:55.7512339Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.7512511Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.7512636Z 'obj_weakref': None 2022-11-23T01:37:55.7512872Z 'guarded_class': 2022-11-23T01:37:55.7512935Z } 2022-11-23T01:37:55.7512985Z 2022-11-23T01:37:55.7513055Z - 2022-11-23T01:37:55.7513183Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.7513246Z { 2022-11-23T01:37:55.7513386Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.7513604Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.7513726Z 'obj_weakref': None 2022-11-23T01:37:55.7513937Z 'guarded_class': 2022-11-23T01:37:55.7513999Z } 2022-11-23T01:37:55.7514061Z 2022-11-23T01:37:55.7514323Z [2022-11-23 01:37:47,369] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 508 2022-11-23T01:37:55.7514692Z [2022-11-23 01:37:47,380] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/l3/cl3lsx2n4gd45fvjd3rj4l3zk5uxdh35crcorj7pes3f55wjofe7.py 2022-11-23T01:37:55.7514961Z [2022-11-23 01:37:47,380] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 508 2022-11-23T01:37:55.7514970Z 2022-11-23T01:37:55.7515064Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.7515132Z import torch 2022-11-23T01:37:55.7515188Z import random 2022-11-23T01:37:55.7515302Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.7515422Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.7515427Z 2022-11-23T01:37:55.7515504Z aten = torch.ops.aten 2022-11-23T01:37:55.7515637Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.7515727Z async_compile = AsyncCompile() 2022-11-23T01:37:55.7515732Z 2022-11-23T01:37:55.7515736Z 2022-11-23T01:37:55.7515873Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.7516081Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.7516189Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.7516292Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.7516423Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.7516488Z { 2022-11-23T01:37:55.7516566Z #pragma GCC ivdep 2022-11-23T01:37:55.7516647Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.7516708Z { 2022-11-23T01:37:55.7516778Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:37:55.7516841Z { 2022-11-23T01:37:55.7517007Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (10*i0)); 2022-11-23T01:37:55.7517132Z auto tmp1 = at::vec::Vectorized(in_ptr1[i0]); 2022-11-23T01:37:55.7517217Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.7517318Z tmp2.store(out_ptr0 + (8*i1) + (10*i0)); 2022-11-23T01:37:55.7517413Z } 2022-11-23T01:37:55.7517502Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.7517568Z for(long i1=8; i1<10; i1+=1) 2022-11-23T01:37:55.7517629Z { 2022-11-23T01:37:55.7517726Z auto tmp0 = in_ptr0[i1 + (10*i0)]; 2022-11-23T01:37:55.7517810Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.7517892Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.7517980Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:37:55.7518029Z } 2022-11-23T01:37:55.7518088Z } 2022-11-23T01:37:55.7518147Z } 2022-11-23T01:37:55.7518228Z ''') 2022-11-23T01:37:55.7518233Z 2022-11-23T01:37:55.7518237Z 2022-11-23T01:37:55.7518324Z async_compile.wait(globals()) 2022-11-23T01:37:55.7518397Z del async_compile 2022-11-23T01:37:55.7518402Z 2022-11-23T01:37:55.7518471Z def call(args): 2022-11-23T01:37:55.7518547Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.7518605Z args.clear() 2022-11-23T01:37:55.7518812Z buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7518976Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.7519044Z del arg0_1 2022-11-23T01:37:55.7519112Z del arg1_1 2022-11-23T01:37:55.7519184Z return (buf0, ) 2022-11-23T01:37:55.7519192Z 2022-11-23T01:37:55.7519196Z 2022-11-23T01:37:55.7519271Z if __name__ == "__main__": 2022-11-23T01:37:55.7519372Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.7519493Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.7519699Z arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7519896Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7520012Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.7520016Z 2022-11-23T01:37:55.7520085Z ok (0.035s) 2022-11-23T01:37:55.7520443Z test_cpu_transposed_broadcast2 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:47,385] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.7520718Z [2022-11-23 01:37:47,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.7520941Z [2022-11-23 01:37:47,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.7521188Z [2022-11-23 01:37:47,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.7521475Z [2022-11-23 01:37:47,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.7521803Z [2022-11-23 01:37:47,385] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.7522140Z [2022-11-23 01:37:47,386] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.7522235Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.7522328Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.7522402Z 4 BINARY_ADD 2022-11-23T01:37:55.7522521Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.7522586Z 8 RETURN_VALUE 2022-11-23T01:37:55.7522646Z 2022-11-23T01:37:55.7522651Z 2022-11-23T01:37:55.7522922Z [2022-11-23 01:37:47,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.7523134Z [2022-11-23 01:37:47,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.7523374Z [2022-11-23 01:37:47,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.7523653Z [2022-11-23 01:37:47,386] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.7523936Z [2022-11-23 01:37:47,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.7524186Z [2022-11-23 01:37:47,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7524527Z [2022-11-23 01:37:47,387] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.7524762Z [2022-11-23 01:37:47,387] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7525003Z [2022-11-23 01:37:47,387] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.7525258Z [2022-11-23 01:37:47,388] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.7525511Z [2022-11-23 01:37:47,392] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.7525706Z [2022-11-23 01:37:47,392] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.7525841Z __compiled_fn_517 .3921 opcode, name, target, args, kwargs 2022-11-23T01:37:55.7525931Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.7526016Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.7526188Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.7526283Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.7526290Z 2022-11-23T01:37:55.7526569Z [2022-11-23 01:37:47,392] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7526663Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.7526754Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7526849Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.7526937Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.7527014Z 8 RETURN_VALUE 2022-11-23T01:37:55.7527019Z 2022-11-23T01:37:55.7527068Z 2022-11-23T01:37:55.7527345Z [2022-11-23 01:37:47,392] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7527454Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_517) 2022-11-23T01:37:55.7527546Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7527636Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7527714Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.7527801Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7527885Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.7527947Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.7528035Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.7528140Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7528241Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7528329Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7528403Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.7528491Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.7528552Z 26 RETURN_VALUE 2022-11-23T01:37:55.7528557Z 2022-11-23T01:37:55.7528615Z 2022-11-23T01:37:55.7528832Z [2022-11-23 01:37:47,393] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.7528909Z - 2022-11-23T01:37:55.7529030Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.7529093Z { 2022-11-23T01:37:55.7529233Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.7529410Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.7529531Z 'obj_weakref': None 2022-11-23T01:37:55.7529758Z 'guarded_class': 2022-11-23T01:37:55.7529823Z } 2022-11-23T01:37:55.7529932Z 2022-11-23T01:37:55.7530004Z - 2022-11-23T01:37:55.7530130Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.7530180Z { 2022-11-23T01:37:55.7530326Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7530434Z 'code': None, 2022-11-23T01:37:55.7530653Z 'obj_weakref': 2022-11-23T01:37:55.7530909Z 'guarded_class': 2022-11-23T01:37:55.7530975Z } 2022-11-23T01:37:55.7531035Z 2022-11-23T01:37:55.7531092Z - 2022-11-23T01:37:55.7531218Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.7531280Z { 2022-11-23T01:37:55.7531425Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7531535Z 'code': None, 2022-11-23T01:37:55.7531750Z 'obj_weakref': 2022-11-23T01:37:55.7532008Z 'guarded_class': 2022-11-23T01:37:55.7532060Z } 2022-11-23T01:37:55.7532122Z 2022-11-23T01:37:55.7532194Z - 2022-11-23T01:37:55.7532328Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.7532393Z { 2022-11-23T01:37:55.7532529Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.7532701Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.7532809Z 'obj_weakref': None 2022-11-23T01:37:55.7533039Z 'guarded_class': 2022-11-23T01:37:55.7533103Z } 2022-11-23T01:37:55.7533164Z 2022-11-23T01:37:55.7533236Z - 2022-11-23T01:37:55.7533360Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.7533423Z { 2022-11-23T01:37:55.7533547Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.7533768Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.7533892Z 'obj_weakref': None 2022-11-23T01:37:55.7534115Z 'guarded_class': 2022-11-23T01:37:55.7534180Z } 2022-11-23T01:37:55.7534243Z 2022-11-23T01:37:55.7534504Z [2022-11-23 01:37:47,398] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 509 2022-11-23T01:37:55.7534862Z [2022-11-23 01:37:47,408] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/3i/c3iqoh2qhcda5mfo4qtlguktfxyyok5wtxv2wwf467y223ybdhft.py 2022-11-23T01:37:55.7535128Z [2022-11-23 01:37:47,408] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 509 2022-11-23T01:37:55.7535133Z 2022-11-23T01:37:55.7535227Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.7535299Z import torch 2022-11-23T01:37:55.7535367Z import random 2022-11-23T01:37:55.7535480Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.7535600Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.7535606Z 2022-11-23T01:37:55.7535683Z aten = torch.ops.aten 2022-11-23T01:37:55.7535836Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.7535929Z async_compile = AsyncCompile() 2022-11-23T01:37:55.7535934Z 2022-11-23T01:37:55.7535938Z 2022-11-23T01:37:55.7536076Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.7536282Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.7536405Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.7536508Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.7536607Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.7536668Z { 2022-11-23T01:37:55.7536764Z #pragma GCC ivdep 2022-11-23T01:37:55.7536846Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.7536908Z { 2022-11-23T01:37:55.7536992Z for(long i1=0; i1<1; i1+=1) 2022-11-23T01:37:55.7537056Z { 2022-11-23T01:37:55.7537206Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + (8*i1) + (10*i0)); 2022-11-23T01:37:55.7537344Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i1); 2022-11-23T01:37:55.7537418Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.7537520Z tmp2.store(out_ptr0 + (8*i1) + (10*i0)); 2022-11-23T01:37:55.7537584Z } 2022-11-23T01:37:55.7537675Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.7537757Z for(long i1=8; i1<10; i1+=1) 2022-11-23T01:37:55.7537819Z { 2022-11-23T01:37:55.7537917Z auto tmp0 = in_ptr0[i1 + (10*i0)]; 2022-11-23T01:37:55.7537986Z auto tmp1 = in_ptr1[i1]; 2022-11-23T01:37:55.7538070Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.7538162Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:37:55.7538225Z } 2022-11-23T01:37:55.7538288Z } 2022-11-23T01:37:55.7538348Z } 2022-11-23T01:37:55.7538431Z ''') 2022-11-23T01:37:55.7538437Z 2022-11-23T01:37:55.7538441Z 2022-11-23T01:37:55.7538519Z async_compile.wait(globals()) 2022-11-23T01:37:55.7538595Z del async_compile 2022-11-23T01:37:55.7538602Z 2022-11-23T01:37:55.7538674Z def call(args): 2022-11-23T01:37:55.7538903Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.7539024Z args.clear() 2022-11-23T01:37:55.7539291Z buf0 = empty_strided((1, 10, 10), (100, 1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7539460Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.7539579Z del arg0_1 2022-11-23T01:37:55.7539634Z del arg1_1 2022-11-23T01:37:55.7539707Z return (buf0, ) 2022-11-23T01:37:55.7539712Z 2022-11-23T01:37:55.7539717Z 2022-11-23T01:37:55.7539799Z if __name__ == "__main__": 2022-11-23T01:37:55.7539915Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.7540040Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.7540249Z arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7540466Z arg1_1 = rand_strided((1, 10, 1), (10, 1, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7540568Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.7540588Z 2022-11-23T01:37:55.7540642Z ok (0.028s) 2022-11-23T01:37:55.7541001Z test_cpu_transposed_broadcast3 (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:47,413] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.7541276Z [2022-11-23 01:37:47,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.7541499Z [2022-11-23 01:37:47,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.7541761Z [2022-11-23 01:37:47,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.7542055Z [2022-11-23 01:37:47,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.7542449Z [2022-11-23 01:37:47,413] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.7542793Z [2022-11-23 01:37:47,414] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.7542889Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.7542968Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.7543041Z 4 BINARY_ADD 2022-11-23T01:37:55.7543131Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.7543210Z 8 RETURN_VALUE 2022-11-23T01:37:55.7543315Z 2022-11-23T01:37:55.7543320Z 2022-11-23T01:37:55.7543594Z [2022-11-23 01:37:47,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.7543809Z [2022-11-23 01:37:47,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.7544053Z [2022-11-23 01:37:47,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.7544317Z [2022-11-23 01:37:47,414] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.7544561Z [2022-11-23 01:37:47,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.7544813Z [2022-11-23 01:37:47,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7545156Z [2022-11-23 01:37:47,415] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.7545408Z [2022-11-23 01:37:47,415] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7545647Z [2022-11-23 01:37:47,415] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.7545910Z [2022-11-23 01:37:47,416] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.7546164Z [2022-11-23 01:37:47,419] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.7546357Z [2022-11-23 01:37:47,420] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.7546478Z __compiled_fn_518 .3927 opcode, name, target, args, kwargs 2022-11-23T01:37:55.7546569Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.7546656Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.7546836Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.7546933Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.7546938Z 2022-11-23T01:37:55.7547214Z [2022-11-23 01:37:47,420] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7547309Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.7547402Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7547483Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.7547573Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.7547648Z 8 RETURN_VALUE 2022-11-23T01:37:55.7547653Z 2022-11-23T01:37:55.7547713Z 2022-11-23T01:37:55.7547989Z [2022-11-23 01:37:47,420] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7548174Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_518) 2022-11-23T01:37:55.7548277Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7548357Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7548434Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.7548522Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7548609Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.7548683Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.7548808Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.7548916Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7549018Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7549093Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7549169Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.7549257Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.7549332Z 26 RETURN_VALUE 2022-11-23T01:37:55.7549338Z 2022-11-23T01:37:55.7549397Z 2022-11-23T01:37:55.7549586Z [2022-11-23 01:37:47,421] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.7549698Z - 2022-11-23T01:37:55.7549806Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.7549871Z { 2022-11-23T01:37:55.7550018Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.7550207Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.7550329Z 'obj_weakref': None 2022-11-23T01:37:55.7550559Z 'guarded_class': 2022-11-23T01:37:55.7550626Z } 2022-11-23T01:37:55.7550677Z 2022-11-23T01:37:55.7550747Z - 2022-11-23T01:37:55.7550872Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.7550935Z { 2022-11-23T01:37:55.7551081Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7551190Z 'code': None, 2022-11-23T01:37:55.7551405Z 'obj_weakref': 2022-11-23T01:37:55.7551652Z 'guarded_class': 2022-11-23T01:37:55.7551716Z } 2022-11-23T01:37:55.7551776Z 2022-11-23T01:37:55.7551847Z - 2022-11-23T01:37:55.7551973Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.7552035Z { 2022-11-23T01:37:55.7552182Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7552280Z 'code': None, 2022-11-23T01:37:55.7552494Z 'obj_weakref': 2022-11-23T01:37:55.7552747Z 'guarded_class': 2022-11-23T01:37:55.7552811Z } 2022-11-23T01:37:55.7552873Z 2022-11-23T01:37:55.7552944Z - 2022-11-23T01:37:55.7553076Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.7553126Z { 2022-11-23T01:37:55.7553262Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.7553439Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.7553561Z 'obj_weakref': None 2022-11-23T01:37:55.7553794Z 'guarded_class': 2022-11-23T01:37:55.7553859Z } 2022-11-23T01:37:55.7553923Z 2022-11-23T01:37:55.7553981Z - 2022-11-23T01:37:55.7554103Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.7554167Z { 2022-11-23T01:37:55.7554306Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.7554526Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.7554647Z 'obj_weakref': None 2022-11-23T01:37:55.7554869Z 'guarded_class': 2022-11-23T01:37:55.7554919Z } 2022-11-23T01:37:55.7554982Z 2022-11-23T01:37:55.7555248Z [2022-11-23 01:37:47,426] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 510 2022-11-23T01:37:55.7555621Z [2022-11-23 01:37:47,435] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/in/cingkgulp7q2yfxtireo4mhxgyg3l6vkqjfqku4qsezezbowkocr.py 2022-11-23T01:37:55.7555919Z [2022-11-23 01:37:47,435] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 510 2022-11-23T01:37:55.7555925Z 2022-11-23T01:37:55.7556022Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.7556091Z import torch 2022-11-23T01:37:55.7556160Z import random 2022-11-23T01:37:55.7556262Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.7556382Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.7556387Z 2022-11-23T01:37:55.7556465Z aten = torch.ops.aten 2022-11-23T01:37:55.7556598Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.7556689Z async_compile = AsyncCompile() 2022-11-23T01:37:55.7556724Z 2022-11-23T01:37:55.7556728Z 2022-11-23T01:37:55.7556866Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.7557073Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.7557192Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.7557286Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.7557385Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.7557448Z { 2022-11-23T01:37:55.7557529Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:37:55.7557592Z { 2022-11-23T01:37:55.7557733Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.7557855Z auto tmp1 = at::vec::Vectorized(in_ptr1[0]); 2022-11-23T01:37:55.7557926Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.7558020Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.7558082Z } 2022-11-23T01:37:55.7558173Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.7558252Z for(long i0=96; i0<100; i0+=1) 2022-11-23T01:37:55.7558312Z { 2022-11-23T01:37:55.7558392Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.7558460Z auto tmp1 = in_ptr1[0]; 2022-11-23T01:37:55.7558540Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.7558619Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.7558681Z } 2022-11-23T01:37:55.7558742Z } 2022-11-23T01:37:55.7558822Z ''') 2022-11-23T01:37:55.7558827Z 2022-11-23T01:37:55.7558831Z 2022-11-23T01:37:55.7558918Z async_compile.wait(globals()) 2022-11-23T01:37:55.7558977Z del async_compile 2022-11-23T01:37:55.7558983Z 2022-11-23T01:37:55.7559052Z def call(args): 2022-11-23T01:37:55.7559126Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.7559199Z args.clear() 2022-11-23T01:37:55.7559402Z buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7559565Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.7559638Z del arg0_1 2022-11-23T01:37:55.7559692Z del arg1_1 2022-11-23T01:37:55.7559762Z return (buf0, ) 2022-11-23T01:37:55.7559767Z 2022-11-23T01:37:55.7559771Z 2022-11-23T01:37:55.7559847Z if __name__ == "__main__": 2022-11-23T01:37:55.7559960Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.7560083Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.7560287Z arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7560484Z arg1_1 = rand_strided((1, ), (1, ), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7560598Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.7560603Z 2022-11-23T01:37:55.7560658Z ok (0.027s) 2022-11-23T01:37:55.7561005Z test_cpu_transposed_dense (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:47,440] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.7561279Z [2022-11-23 01:37:47,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.7561500Z [2022-11-23 01:37:47,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.7561793Z [2022-11-23 01:37:47,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.7562086Z [2022-11-23 01:37:47,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.7562413Z [2022-11-23 01:37:47,440] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.7562747Z [2022-11-23 01:37:47,441] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.7562839Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.7562965Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.7563027Z 4 BINARY_ADD 2022-11-23T01:37:55.7563115Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.7563190Z 8 RETURN_VALUE 2022-11-23T01:37:55.7563250Z 2022-11-23T01:37:55.7563256Z 2022-11-23T01:37:55.7563528Z [2022-11-23 01:37:47,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.7563744Z [2022-11-23 01:37:47,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.7563988Z [2022-11-23 01:37:47,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.7564266Z [2022-11-23 01:37:47,441] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.7564497Z [2022-11-23 01:37:47,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.7564749Z [2022-11-23 01:37:47,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7565087Z [2022-11-23 01:37:47,442] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.7565337Z [2022-11-23 01:37:47,442] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7565574Z [2022-11-23 01:37:47,442] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.7565830Z [2022-11-23 01:37:47,443] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.7566081Z [2022-11-23 01:37:47,446] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.7566271Z [2022-11-23 01:37:47,446] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.7566405Z __compiled_fn_519 .3933 opcode, name, target, args, kwargs 2022-11-23T01:37:55.7566486Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.7566574Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.7566755Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.7566850Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.7566855Z 2022-11-23T01:37:55.7567135Z [2022-11-23 01:37:47,447] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7567228Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.7567317Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7567411Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.7567489Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.7567564Z 8 RETURN_VALUE 2022-11-23T01:37:55.7567569Z 2022-11-23T01:37:55.7567633Z 2022-11-23T01:37:55.7567908Z [2022-11-23 01:37:47,447] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7568017Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_519) 2022-11-23T01:37:55.7568110Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7568197Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7568261Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.7568378Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7568467Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.7568541Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.7568630Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.7568734Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7568835Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7568911Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7568988Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.7569075Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.7569180Z 26 RETURN_VALUE 2022-11-23T01:37:55.7569186Z 2022-11-23T01:37:55.7569243Z 2022-11-23T01:37:55.7569430Z [2022-11-23 01:37:47,448] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.7569502Z - 2022-11-23T01:37:55.7569611Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.7569676Z { 2022-11-23T01:37:55.7569819Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.7570011Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.7570132Z 'obj_weakref': None 2022-11-23T01:37:55.7570359Z 'guarded_class': 2022-11-23T01:37:55.7570423Z } 2022-11-23T01:37:55.7570473Z 2022-11-23T01:37:55.7570542Z - 2022-11-23T01:37:55.7570669Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.7570734Z { 2022-11-23T01:37:55.7570883Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7570992Z 'code': None, 2022-11-23T01:37:55.7571209Z 'obj_weakref': 2022-11-23T01:37:55.7571465Z 'guarded_class': 2022-11-23T01:37:55.7571520Z } 2022-11-23T01:37:55.7571583Z 2022-11-23T01:37:55.7571655Z - 2022-11-23T01:37:55.7571781Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.7571846Z { 2022-11-23T01:37:55.7571990Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7572085Z 'code': None, 2022-11-23T01:37:55.7572298Z 'obj_weakref': 2022-11-23T01:37:55.7572551Z 'guarded_class': 2022-11-23T01:37:55.7572618Z } 2022-11-23T01:37:55.7572680Z 2022-11-23T01:37:55.7572752Z - 2022-11-23T01:37:55.7572885Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.7572937Z { 2022-11-23T01:37:55.7573073Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.7573243Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.7573367Z 'obj_weakref': None 2022-11-23T01:37:55.7573599Z 'guarded_class': 2022-11-23T01:37:55.7573663Z } 2022-11-23T01:37:55.7573726Z 2022-11-23T01:37:55.7573783Z - 2022-11-23T01:37:55.7573905Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.7573970Z { 2022-11-23T01:37:55.7574110Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.7574329Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.7574452Z 'obj_weakref': None 2022-11-23T01:37:55.7574675Z 'guarded_class': 2022-11-23T01:37:55.7574737Z } 2022-11-23T01:37:55.7574786Z 2022-11-23T01:37:55.7575116Z [2022-11-23 01:37:47,453] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 511 2022-11-23T01:37:55.7575493Z [2022-11-23 01:37:48,830] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/m3/cm3jgkohlfhkkt3ehvdav5oakob227in3cxvagg3vy2zurnrf3k2.py 2022-11-23T01:37:55.7575761Z [2022-11-23 01:37:48,831] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 511 2022-11-23T01:37:55.7575767Z 2022-11-23T01:37:55.7575859Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.7575929Z import torch 2022-11-23T01:37:55.7575999Z import random 2022-11-23T01:37:55.7576101Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.7576221Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.7576270Z 2022-11-23T01:37:55.7576351Z aten = torch.ops.aten 2022-11-23T01:37:55.7576486Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.7576577Z async_compile = AsyncCompile() 2022-11-23T01:37:55.7576582Z 2022-11-23T01:37:55.7576586Z 2022-11-23T01:37:55.7576729Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.7576937Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.7577059Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.7577163Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.7577250Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.7577312Z { 2022-11-23T01:37:55.7577390Z #pragma GCC ivdep 2022-11-23T01:37:55.7577472Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.7577537Z { 2022-11-23T01:37:55.7577617Z #pragma GCC ivdep 2022-11-23T01:37:55.7577690Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:37:55.7577754Z { 2022-11-23T01:37:55.7577819Z { 2022-11-23T01:37:55.7577885Z { 2022-11-23T01:37:55.7577987Z auto tmp0 = in_ptr0[i0 + (10*i1)]; 2022-11-23T01:37:55.7578087Z auto tmp1 = in_ptr1[i1 + (10*i0)]; 2022-11-23T01:37:55.7578184Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.7578264Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:37:55.7578330Z } 2022-11-23T01:37:55.7578395Z } 2022-11-23T01:37:55.7578458Z } 2022-11-23T01:37:55.7578520Z } 2022-11-23T01:37:55.7578580Z } 2022-11-23T01:37:55.7578665Z ''') 2022-11-23T01:37:55.7578670Z 2022-11-23T01:37:55.7578674Z 2022-11-23T01:37:55.7578928Z async_compile.wait(globals()) 2022-11-23T01:37:55.7579044Z del async_compile 2022-11-23T01:37:55.7579052Z 2022-11-23T01:37:55.7579163Z def call(args): 2022-11-23T01:37:55.7579244Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.7579321Z args.clear() 2022-11-23T01:37:55.7579530Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7579695Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.7579765Z del arg0_1 2022-11-23T01:37:55.7579824Z del arg1_1 2022-11-23T01:37:55.7579895Z return (buf0, ) 2022-11-23T01:37:55.7579901Z 2022-11-23T01:37:55.7579905Z 2022-11-23T01:37:55.7579982Z if __name__ == "__main__": 2022-11-23T01:37:55.7580097Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.7580219Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.7580424Z arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7580630Z arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7580732Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.7580755Z 2022-11-23T01:37:55.7580810Z ok (1.397s) 2022-11-23T01:37:55.7581159Z test_cpu_transposed_double (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:48,839] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.7581492Z [2022-11-23 01:37:48,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.7581716Z [2022-11-23 01:37:48,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.7582036Z [2022-11-23 01:37:48,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.7582382Z [2022-11-23 01:37:48,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.7582713Z [2022-11-23 01:37:48,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.7583099Z [2022-11-23 01:37:48,840] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.7583195Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.7583276Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.7583353Z 4 BINARY_ADD 2022-11-23T01:37:55.7583442Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.7583520Z 8 RETURN_VALUE 2022-11-23T01:37:55.7583582Z 2022-11-23T01:37:55.7583587Z 2022-11-23T01:37:55.7583856Z [2022-11-23 01:37:48,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.7584070Z [2022-11-23 01:37:48,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.7584312Z [2022-11-23 01:37:48,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.7584572Z [2022-11-23 01:37:48,840] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.7584818Z [2022-11-23 01:37:48,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.7585067Z [2022-11-23 01:37:48,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7585409Z [2022-11-23 01:37:48,842] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.7585656Z [2022-11-23 01:37:48,842] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7585897Z [2022-11-23 01:37:48,842] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.7586152Z [2022-11-23 01:37:48,843] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.7586406Z [2022-11-23 01:37:48,847] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.7586601Z [2022-11-23 01:37:48,847] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.7586725Z __compiled_fn_520 .3939 opcode, name, target, args, kwargs 2022-11-23T01:37:55.7586813Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.7586907Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.7587087Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.7587181Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.7587186Z 2022-11-23T01:37:55.7587463Z [2022-11-23 01:37:48,848] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7587559Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.7587648Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7587728Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.7587820Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.7587895Z 8 RETURN_VALUE 2022-11-23T01:37:55.7587900Z 2022-11-23T01:37:55.7587963Z 2022-11-23T01:37:55.7588351Z [2022-11-23 01:37:48,848] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7588530Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_520) 2022-11-23T01:37:55.7588626Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7588703Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7588780Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.7588869Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7588956Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.7589033Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.7589121Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.7589225Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7589346Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7589438Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7589514Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.7589602Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.7589678Z 26 RETURN_VALUE 2022-11-23T01:37:55.7589683Z 2022-11-23T01:37:55.7589744Z 2022-11-23T01:37:55.7589934Z [2022-11-23 01:37:48,849] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.7590005Z - 2022-11-23T01:37:55.7590113Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.7590178Z { 2022-11-23T01:37:55.7590321Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.7590509Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.7590630Z 'obj_weakref': None 2022-11-23T01:37:55.7590857Z 'guarded_class': 2022-11-23T01:37:55.7590924Z } 2022-11-23T01:37:55.7590973Z 2022-11-23T01:37:55.7591044Z - 2022-11-23T01:37:55.7591171Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.7591233Z { 2022-11-23T01:37:55.7591377Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7591486Z 'code': None, 2022-11-23T01:37:55.7591703Z 'obj_weakref': 2022-11-23T01:37:55.7591948Z 'guarded_class': 2022-11-23T01:37:55.7592016Z } 2022-11-23T01:37:55.7592077Z 2022-11-23T01:37:55.7592147Z - 2022-11-23T01:37:55.7592271Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.7592333Z { 2022-11-23T01:37:55.7592477Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7592581Z 'code': None, 2022-11-23T01:37:55.7592911Z 'obj_weakref': 2022-11-23T01:37:55.7593227Z 'guarded_class': 2022-11-23T01:37:55.7593296Z } 2022-11-23T01:37:55.7593358Z 2022-11-23T01:37:55.7593429Z - 2022-11-23T01:37:55.7593564Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.7593616Z { 2022-11-23T01:37:55.7593751Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.7593925Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.7594044Z 'obj_weakref': None 2022-11-23T01:37:55.7594276Z 'guarded_class': 2022-11-23T01:37:55.7594339Z } 2022-11-23T01:37:55.7594402Z 2022-11-23T01:37:55.7594460Z - 2022-11-23T01:37:55.7594583Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.7594649Z { 2022-11-23T01:37:55.7594785Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.7595004Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.7595127Z 'obj_weakref': None 2022-11-23T01:37:55.7595400Z 'guarded_class': 2022-11-23T01:37:55.7595453Z } 2022-11-23T01:37:55.7595515Z 2022-11-23T01:37:55.7595781Z [2022-11-23 01:37:48,855] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 512 2022-11-23T01:37:55.7596148Z [2022-11-23 01:37:50,246] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/5h/c5h2dwqoylo4gkx4jkr6olc32zq23hwsyhqsdpf6atqnqsm4gvop.py 2022-11-23T01:37:55.7596415Z [2022-11-23 01:37:50,247] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 512 2022-11-23T01:37:55.7596421Z 2022-11-23T01:37:55.7596548Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.7596616Z import torch 2022-11-23T01:37:55.7596683Z import random 2022-11-23T01:37:55.7596786Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.7596907Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.7596912Z 2022-11-23T01:37:55.7596990Z aten = torch.ops.aten 2022-11-23T01:37:55.7597126Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.7597220Z async_compile = AsyncCompile() 2022-11-23T01:37:55.7597225Z 2022-11-23T01:37:55.7597229Z 2022-11-23T01:37:55.7597367Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.7597572Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.7597693Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.7597786Z const double* __restrict__ in_ptr1, 2022-11-23T01:37:55.7597887Z double* __restrict__ out_ptr0) 2022-11-23T01:37:55.7597952Z { 2022-11-23T01:37:55.7598029Z #pragma GCC ivdep 2022-11-23T01:37:55.7598109Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.7598170Z { 2022-11-23T01:37:55.7598246Z #pragma GCC ivdep 2022-11-23T01:37:55.7598315Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:37:55.7598377Z { 2022-11-23T01:37:55.7598442Z { 2022-11-23T01:37:55.7598508Z { 2022-11-23T01:37:55.7598608Z auto tmp0 = in_ptr0[i0 + (10*i1)]; 2022-11-23T01:37:55.7598707Z auto tmp2 = in_ptr1[i1 + (10*i0)]; 2022-11-23T01:37:55.7598817Z auto tmp1 = static_cast(tmp0); 2022-11-23T01:37:55.7598895Z auto tmp3 = tmp1 + tmp2; 2022-11-23T01:37:55.7598985Z out_ptr0[i1 + (10*i0)] = tmp3; 2022-11-23T01:37:55.7599049Z } 2022-11-23T01:37:55.7599111Z } 2022-11-23T01:37:55.7599173Z } 2022-11-23T01:37:55.7599232Z } 2022-11-23T01:37:55.7599280Z } 2022-11-23T01:37:55.7599359Z ''') 2022-11-23T01:37:55.7599364Z 2022-11-23T01:37:55.7599369Z 2022-11-23T01:37:55.7599459Z async_compile.wait(globals()) 2022-11-23T01:37:55.7599530Z del async_compile 2022-11-23T01:37:55.7599536Z 2022-11-23T01:37:55.7599608Z def call(args): 2022-11-23T01:37:55.7599680Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.7599752Z args.clear() 2022-11-23T01:37:55.7599956Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:37:55.7600107Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.7600174Z del arg0_1 2022-11-23T01:37:55.7600240Z del arg1_1 2022-11-23T01:37:55.7600311Z return (buf0, ) 2022-11-23T01:37:55.7600316Z 2022-11-23T01:37:55.7600320Z 2022-11-23T01:37:55.7600396Z if __name__ == "__main__": 2022-11-23T01:37:55.7600507Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.7600629Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.7600822Z arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7601023Z arg1_1 = rand_strided((10, 10), (10, 1), device='cpu', dtype=torch.float64) 2022-11-23T01:37:55.7601138Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.7601143Z 2022-11-23T01:37:55.7601240Z ok (1.416s) 2022-11-23T01:37:55.7601586Z test_cpu_transposed_int (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:50,256] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.7601859Z [2022-11-23 01:37:50,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.7602080Z [2022-11-23 01:37:50,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.7602336Z [2022-11-23 01:37:50,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.7602658Z [2022-11-23 01:37:50,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.7602970Z [2022-11-23 01:37:50,256] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.7603309Z [2022-11-23 01:37:50,256] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.7603403Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.7603493Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.7603565Z 4 BINARY_ADD 2022-11-23T01:37:55.7603654Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.7603730Z 8 RETURN_VALUE 2022-11-23T01:37:55.7603790Z 2022-11-23T01:37:55.7603795Z 2022-11-23T01:37:55.7604049Z [2022-11-23 01:37:50,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.7604266Z [2022-11-23 01:37:50,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.7604504Z [2022-11-23 01:37:50,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.7604783Z [2022-11-23 01:37:50,257] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.7605027Z [2022-11-23 01:37:50,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.7605274Z [2022-11-23 01:37:50,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7605613Z [2022-11-23 01:37:50,258] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.7605860Z [2022-11-23 01:37:50,258] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7606101Z [2022-11-23 01:37:50,258] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.7606359Z [2022-11-23 01:37:50,260] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.7606599Z [2022-11-23 01:37:50,264] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.7606788Z [2022-11-23 01:37:50,264] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.7606921Z __compiled_fn_521 .3945 opcode, name, target, args, kwargs 2022-11-23T01:37:55.7607010Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.7607097Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.7607278Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.7607372Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.7607377Z 2022-11-23T01:37:55.7607655Z [2022-11-23 01:37:50,265] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7607739Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.7607828Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7607920Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.7608044Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.7608121Z 8 RETURN_VALUE 2022-11-23T01:37:55.7608127Z 2022-11-23T01:37:55.7608187Z 2022-11-23T01:37:55.7608463Z [2022-11-23 01:37:50,265] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7608572Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_521) 2022-11-23T01:37:55.7608649Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7608739Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7608815Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.7608903Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7609022Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.7609097Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.7609186Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.7609277Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7609380Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7609467Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7609542Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.7609629Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.7609703Z 26 RETURN_VALUE 2022-11-23T01:37:55.7609708Z 2022-11-23T01:37:55.7609767Z 2022-11-23T01:37:55.7609940Z [2022-11-23 01:37:50,266] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.7610010Z - 2022-11-23T01:37:55.7610130Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.7610196Z { 2022-11-23T01:37:55.7610337Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.7610529Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.7610653Z 'obj_weakref': None 2022-11-23T01:37:55.7610865Z 'guarded_class': 2022-11-23T01:37:55.7610935Z } 2022-11-23T01:37:55.7610997Z 2022-11-23T01:37:55.7611070Z - 2022-11-23T01:37:55.7611196Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.7611258Z { 2022-11-23T01:37:55.7611401Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7611496Z 'code': None, 2022-11-23T01:37:55.7611710Z 'obj_weakref': 2022-11-23T01:37:55.7611966Z 'guarded_class': 2022-11-23T01:37:55.7612028Z } 2022-11-23T01:37:55.7612093Z 2022-11-23T01:37:55.7612162Z - 2022-11-23T01:37:55.7612287Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.7612337Z { 2022-11-23T01:37:55.7612480Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7612589Z 'code': None, 2022-11-23T01:37:55.7612803Z 'obj_weakref': 2022-11-23T01:37:55.7613057Z 'guarded_class': 2022-11-23T01:37:55.7613120Z } 2022-11-23T01:37:55.7613183Z 2022-11-23T01:37:55.7613240Z - 2022-11-23T01:37:55.7613372Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.7613434Z { 2022-11-23T01:37:55.7613570Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.7613742Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.7613863Z 'obj_weakref': None 2022-11-23T01:37:55.7614098Z 'guarded_class': 2022-11-23T01:37:55.7614149Z } 2022-11-23T01:37:55.7614210Z 2022-11-23T01:37:55.7614279Z - 2022-11-23T01:37:55.7614402Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.7614463Z { 2022-11-23T01:37:55.7614634Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.7614854Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.7614962Z 'obj_weakref': None 2022-11-23T01:37:55.7615181Z 'guarded_class': 2022-11-23T01:37:55.7615243Z } 2022-11-23T01:37:55.7615304Z 2022-11-23T01:37:55.7615565Z [2022-11-23 01:37:50,273] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 513 2022-11-23T01:37:55.7615972Z [2022-11-23 01:37:51,654] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/kv/ckvwuzrupxcnx3h2wvaxcvt2t24ww2xgohis4y5ortonwq7jukbu.py 2022-11-23T01:37:55.7616239Z [2022-11-23 01:37:51,655] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 513 2022-11-23T01:37:55.7616244Z 2022-11-23T01:37:55.7616343Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.7616402Z import torch 2022-11-23T01:37:55.7616472Z import random 2022-11-23T01:37:55.7616588Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.7616710Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.7616715Z 2022-11-23T01:37:55.7616792Z aten = torch.ops.aten 2022-11-23T01:37:55.7616928Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.7617022Z async_compile = AsyncCompile() 2022-11-23T01:37:55.7617027Z 2022-11-23T01:37:55.7617031Z 2022-11-23T01:37:55.7617168Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.7617364Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.7617488Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.7617595Z const int* __restrict__ in_ptr1, 2022-11-23T01:37:55.7617696Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.7617759Z { 2022-11-23T01:37:55.7617837Z #pragma GCC ivdep 2022-11-23T01:37:55.7617919Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.7617967Z { 2022-11-23T01:37:55.7618046Z #pragma GCC ivdep 2022-11-23T01:37:55.7618129Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:37:55.7618196Z { 2022-11-23T01:37:55.7618260Z { 2022-11-23T01:37:55.7618325Z { 2022-11-23T01:37:55.7618426Z auto tmp0 = in_ptr0[i1 + (10*i0)]; 2022-11-23T01:37:55.7618506Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.7618613Z auto tmp2 = static_cast(tmp1); 2022-11-23T01:37:55.7618707Z auto tmp3 = tmp0 + tmp2; 2022-11-23T01:37:55.7618971Z out_ptr0[i1 + (10*i0)] = tmp3; 2022-11-23T01:37:55.7619081Z } 2022-11-23T01:37:55.7619154Z } 2022-11-23T01:37:55.7619218Z } 2022-11-23T01:37:55.7619267Z } 2022-11-23T01:37:55.7619326Z } 2022-11-23T01:37:55.7619414Z ''') 2022-11-23T01:37:55.7619419Z 2022-11-23T01:37:55.7619424Z 2022-11-23T01:37:55.7619517Z async_compile.wait(globals()) 2022-11-23T01:37:55.7619591Z del async_compile 2022-11-23T01:37:55.7619596Z 2022-11-23T01:37:55.7619668Z def call(args): 2022-11-23T01:37:55.7619744Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.7619802Z args.clear() 2022-11-23T01:37:55.7620008Z buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7620173Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.7620242Z del arg0_1 2022-11-23T01:37:55.7620310Z del arg1_1 2022-11-23T01:37:55.7620385Z return (buf0, ) 2022-11-23T01:37:55.7620390Z 2022-11-23T01:37:55.7620394Z 2022-11-23T01:37:55.7620470Z if __name__ == "__main__": 2022-11-23T01:37:55.7620570Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.7620696Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.7620968Z arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7621165Z arg1_1 = rand_strided((10, ), (1, ), device='cpu', dtype=torch.int32) 2022-11-23T01:37:55.7621281Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.7621286Z 2022-11-23T01:37:55.7621353Z ok (1.408s) 2022-11-23T01:37:55.7621705Z test_cpu_transposed_strided (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:51,664] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.7621980Z [2022-11-23 01:37:51,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.7622260Z [2022-11-23 01:37:51,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.7622503Z [2022-11-23 01:37:51,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.7622794Z [2022-11-23 01:37:51,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.7623123Z [2022-11-23 01:37:51,664] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.7623463Z [2022-11-23 01:37:51,665] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.7623557Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.7623648Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.7623726Z 4 BINARY_ADD 2022-11-23T01:37:55.7623815Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.7623878Z 8 RETURN_VALUE 2022-11-23T01:37:55.7623939Z 2022-11-23T01:37:55.7623944Z 2022-11-23T01:37:55.7624210Z [2022-11-23 01:37:51,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.7624426Z [2022-11-23 01:37:51,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.7624669Z [2022-11-23 01:37:51,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.7624946Z [2022-11-23 01:37:51,665] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.7625192Z [2022-11-23 01:37:51,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.7625441Z [2022-11-23 01:37:51,666] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7625780Z [2022-11-23 01:37:51,666] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.7626017Z [2022-11-23 01:37:51,667] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7626256Z [2022-11-23 01:37:51,667] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.7626510Z [2022-11-23 01:37:51,668] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.7626763Z [2022-11-23 01:37:51,672] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.7626953Z [2022-11-23 01:37:51,672] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.7627090Z __compiled_fn_522 .3951 opcode, name, target, args, kwargs 2022-11-23T01:37:55.7627179Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.7627270Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.7627452Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.7627537Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.7627542Z 2022-11-23T01:37:55.7627850Z [2022-11-23 01:37:51,673] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7627949Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.7628039Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7628214Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.7628310Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.7628388Z 8 RETURN_VALUE 2022-11-23T01:37:55.7628393Z 2022-11-23T01:37:55.7628440Z 2022-11-23T01:37:55.7628716Z [2022-11-23 01:37:51,673] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7628868Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_522) 2022-11-23T01:37:55.7628959Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7629050Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7629128Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.7629217Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7629307Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.7629371Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.7629461Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.7629564Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7629668Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7629755Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7629830Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.7629916Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.7629978Z 26 RETURN_VALUE 2022-11-23T01:37:55.7629985Z 2022-11-23T01:37:55.7630045Z 2022-11-23T01:37:55.7630232Z [2022-11-23 01:37:51,674] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.7630305Z - 2022-11-23T01:37:55.7630429Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.7630494Z { 2022-11-23T01:37:55.7630637Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.7630816Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.7630940Z 'obj_weakref': None 2022-11-23T01:37:55.7631166Z 'guarded_class': 2022-11-23T01:37:55.7631234Z } 2022-11-23T01:37:55.7631294Z 2022-11-23T01:37:55.7631366Z - 2022-11-23T01:37:55.7631492Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.7631542Z { 2022-11-23T01:37:55.7631688Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7631797Z 'code': None, 2022-11-23T01:37:55.7632017Z 'obj_weakref': 2022-11-23T01:37:55.7632273Z 'guarded_class': 2022-11-23T01:37:55.7632337Z } 2022-11-23T01:37:55.7632400Z 2022-11-23T01:37:55.7632461Z - 2022-11-23T01:37:55.7632586Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.7632648Z { 2022-11-23T01:37:55.7632794Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7632909Z 'code': None, 2022-11-23T01:37:55.7633123Z 'obj_weakref': 2022-11-23T01:37:55.7633378Z 'guarded_class': 2022-11-23T01:37:55.7633430Z } 2022-11-23T01:37:55.7633491Z 2022-11-23T01:37:55.7633563Z - 2022-11-23T01:37:55.7633697Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.7633761Z { 2022-11-23T01:37:55.7633896Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.7634068Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.7634176Z 'obj_weakref': None 2022-11-23T01:37:55.7634441Z 'guarded_class': 2022-11-23T01:37:55.7634507Z } 2022-11-23T01:37:55.7634571Z 2022-11-23T01:37:55.7634642Z - 2022-11-23T01:37:55.7634765Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.7634827Z { 2022-11-23T01:37:55.7634954Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.7635171Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.7635293Z 'obj_weakref': None 2022-11-23T01:37:55.7635516Z 'guarded_class': 2022-11-23T01:37:55.7635614Z } 2022-11-23T01:37:55.7635676Z 2022-11-23T01:37:55.7635939Z [2022-11-23 01:37:51,681] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 514 2022-11-23T01:37:55.7636324Z [2022-11-23 01:37:53,051] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/pn/cpnxbzwrsox3dupqfwq65hvwfk2ytdpzu7atlmrsojbzf27pjpjz.py 2022-11-23T01:37:55.7636578Z [2022-11-23 01:37:53,051] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 514 2022-11-23T01:37:55.7636584Z 2022-11-23T01:37:55.7636677Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.7636747Z import torch 2022-11-23T01:37:55.7636816Z import random 2022-11-23T01:37:55.7636931Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.7637051Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.7637056Z 2022-11-23T01:37:55.7637137Z aten = torch.ops.aten 2022-11-23T01:37:55.7637272Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.7637352Z async_compile = AsyncCompile() 2022-11-23T01:37:55.7637357Z 2022-11-23T01:37:55.7637361Z 2022-11-23T01:37:55.7637496Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.7637705Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.7637825Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.7637929Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.7638028Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.7638088Z { 2022-11-23T01:37:55.7638152Z #pragma GCC ivdep 2022-11-23T01:37:55.7638234Z for(long i0=0; i0<10; i0+=1) 2022-11-23T01:37:55.7638295Z { 2022-11-23T01:37:55.7638371Z #pragma GCC ivdep 2022-11-23T01:37:55.7638450Z for(long i1=0; i1<10; i1+=1) 2022-11-23T01:37:55.7638514Z { 2022-11-23T01:37:55.7638578Z { 2022-11-23T01:37:55.7638629Z { 2022-11-23T01:37:55.7638727Z auto tmp0 = in_ptr0[i0 + (10*i1)]; 2022-11-23T01:37:55.7638830Z auto tmp1 = in_ptr1[(2*i1) + (30*i0)]; 2022-11-23T01:37:55.7638920Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.7639017Z out_ptr0[i1 + (10*i0)] = tmp2; 2022-11-23T01:37:55.7639081Z } 2022-11-23T01:37:55.7639146Z } 2022-11-23T01:37:55.7639195Z } 2022-11-23T01:37:55.7639258Z } 2022-11-23T01:37:55.7639317Z } 2022-11-23T01:37:55.7639397Z ''') 2022-11-23T01:37:55.7639402Z 2022-11-23T01:37:55.7639406Z 2022-11-23T01:37:55.7639494Z async_compile.wait(globals()) 2022-11-23T01:37:55.7639566Z del async_compile 2022-11-23T01:37:55.7639570Z 2022-11-23T01:37:55.7639640Z def call(args): 2022-11-23T01:37:55.7639702Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.7639770Z args.clear() 2022-11-23T01:37:55.7639978Z buf0 = empty_strided((10, 10), (10, 1), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7640143Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.7640210Z del arg0_1 2022-11-23T01:37:55.7640275Z del arg1_1 2022-11-23T01:37:55.7640345Z return (buf0, ) 2022-11-23T01:37:55.7640350Z 2022-11-23T01:37:55.7640388Z 2022-11-23T01:37:55.7640465Z if __name__ == "__main__": 2022-11-23T01:37:55.7640566Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.7640689Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.7640897Z arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7641099Z arg1_1 = rand_strided((10, 10), (30, 2), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7641214Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.7641219Z 2022-11-23T01:37:55.7641284Z ok (1.397s) 2022-11-23T01:37:55.7641682Z test_cpu_transposed_transposed (__main__.SweepInputsCpuTest) ... [2022-11-23 01:37:53,061] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo start tracing run 2022-11-23T01:37:55.7641957Z [2022-11-23 01:37:53,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:297 2022-11-23T01:37:55.7642168Z [2022-11-23 01:37:53,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_DEREF model [] 2022-11-23T01:37:55.7642424Z [2022-11-23 01:37:53,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST ex [UserFunctionVariable()] 2022-11-23T01:37:55.7642713Z [2022-11-23 01:37:53,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST kwargs [UserFunctionVariable(), TupleVariable()] 2022-11-23T01:37:55.7643040Z [2022-11-23 01:37:53,061] torch._dynamo.symbolic_convert: [DEBUG] TRACE CALL_FUNCTION_EX 1 [UserFunctionVariable(), TupleVariable(), ConstDictVariable()] 2022-11-23T01:37:55.7643373Z [2022-11-23 01:37:53,061] torch._dynamo.symbolic_convert: [DEBUG] INLINING 2022-11-23T01:37:55.7643470Z 456 0 LOAD_FAST 0 (a) 2022-11-23T01:37:55.7643560Z 2 LOAD_FAST 1 (b) 2022-11-23T01:37:55.7643632Z 4 BINARY_ADD 2022-11-23T01:37:55.7643719Z 6 BUILD_TUPLE 1 2022-11-23T01:37:55.7643785Z 8 RETURN_VALUE 2022-11-23T01:37:55.7643846Z 2022-11-23T01:37:55.7643851Z 2022-11-23T01:37:55.7644118Z [2022-11-23 01:37:53,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE starts_line inductor/test_torchinductor.py:456 2022-11-23T01:37:55.7644331Z [2022-11-23 01:37:53,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST a [] 2022-11-23T01:37:55.7644573Z [2022-11-23 01:37:53,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE LOAD_FAST b [TensorVariable()] 2022-11-23T01:37:55.7644847Z [2022-11-23 01:37:53,062] torch._dynamo.symbolic_convert: [DEBUG] TRACE BINARY_ADD None [TensorVariable(), TensorVariable()] 2022-11-23T01:37:55.7645097Z [2022-11-23 01:37:53,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE BUILD_TUPLE 1 [TensorVariable()] 2022-11-23T01:37:55.7645345Z [2022-11-23 01:37:53,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7645671Z [2022-11-23 01:37:53,063] torch._dynamo.symbolic_convert: [DEBUG] DONE INLINING 2022-11-23T01:37:55.7645918Z [2022-11-23 01:37:53,063] torch._dynamo.symbolic_convert: [DEBUG] TRACE RETURN_VALUE None [TupleVariable()] 2022-11-23T01:37:55.7646157Z [2022-11-23 01:37:53,063] torch._dynamo.symbolic_convert: [INFO] Step 2: torchdynamo done tracing run 2022-11-23T01:37:55.7646413Z [2022-11-23 01:37:53,064] torch._dynamo.output_graph: [INFO] Step 3: calling compiler function compile_fx_wrapper 2022-11-23T01:37:55.7646666Z [2022-11-23 01:37:53,069] torch._dynamo.output_graph: [INFO] Step 3: done compiler function compile_fx_wrapper 2022-11-23T01:37:55.7646860Z [2022-11-23 01:37:53,069] torch._dynamo.output_graph: [CODE] TRACED GRAPH 2022-11-23T01:37:55.7646995Z __compiled_fn_523 .3957 opcode, name, target, args, kwargs 2022-11-23T01:37:55.7647087Z placeholder, ex_0_, ex_0_, (), {} 2022-11-23T01:37:55.7647171Z placeholder, ex_1_, ex_1_, (), {} 2022-11-23T01:37:55.7647369Z call_function, add, , (ex_0_, ex_1_), {} 2022-11-23T01:37:55.7647467Z output, output, output, ((add,),), {} 2022-11-23T01:37:55.7647472Z 2022-11-23T01:37:55.7647749Z [2022-11-23 01:37:53,070] torch._dynamo.convert_frame: [CODE] ORIGINAL BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7647842Z 297 0 LOAD_DEREF 0 (model) 2022-11-23T01:37:55.7647931Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7648022Z 4 LOAD_FAST 1 (kwargs) 2022-11-23T01:37:55.7648112Z 6 CALL_FUNCTION_EX 1 2022-11-23T01:37:55.7648208Z 8 RETURN_VALUE 2022-11-23T01:37:55.7648225Z 2022-11-23T01:37:55.7648272Z 2022-11-23T01:37:55.7648548Z [2022-11-23 01:37:53,070] torch._dynamo.convert_frame: [CODE] MODIFIED BYTECODE run inductor/test_torchinductor.py line 296 2022-11-23T01:37:55.7648657Z 296 0 LOAD_GLOBAL 0 (__compiled_fn_523) 2022-11-23T01:37:55.7648749Z 2 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7648839Z 4 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7648916Z 6 BINARY_SUBSCR 2022-11-23T01:37:55.7649005Z 8 LOAD_FAST 0 (ex) 2022-11-23T01:37:55.7649079Z 10 LOAD_CONST 2 (1) 2022-11-23T01:37:55.7649156Z 12 BINARY_SUBSCR 2022-11-23T01:37:55.7649243Z 14 CALL_FUNCTION 2 2022-11-23T01:37:55.7649346Z 16 STORE_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7649445Z 18 LOAD_FAST 2 (___graph_out_0) 2022-11-23T01:37:55.7649536Z 20 LOAD_CONST 1 (0) 2022-11-23T01:37:55.7649611Z 22 BINARY_SUBSCR 2022-11-23T01:37:55.7649686Z 24 BUILD_TUPLE 1 2022-11-23T01:37:55.7649760Z 26 RETURN_VALUE 2022-11-23T01:37:55.7649765Z 2022-11-23T01:37:55.7649823Z 2022-11-23T01:37:55.7650010Z [2022-11-23 01:37:53,071] torch._dynamo.convert_frame: [CODE] GUARDS: 2022-11-23T01:37:55.7650082Z - 2022-11-23T01:37:55.7650203Z local 'ex' LIST_LENGTH 2022-11-23T01:37:55.7650267Z { 2022-11-23T01:37:55.7650398Z 'guard_types': ['LIST_LENGTH'], 2022-11-23T01:37:55.7650589Z 'code': ['___check_type_id(ex, 93851402532000)', 'len(ex) == 2'], 2022-11-23T01:37:55.7650713Z 'obj_weakref': None 2022-11-23T01:37:55.7650938Z 'guarded_class': 2022-11-23T01:37:55.7651002Z } 2022-11-23T01:37:55.7651063Z 2022-11-23T01:37:55.7651136Z - 2022-11-23T01:37:55.7651250Z local 'ex[0]' TENSOR_MATCH 2022-11-23T01:37:55.7651313Z { 2022-11-23T01:37:55.7651458Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7651569Z 'code': None, 2022-11-23T01:37:55.7651788Z 'obj_weakref': 2022-11-23T01:37:55.7652049Z 'guarded_class': 2022-11-23T01:37:55.7652113Z } 2022-11-23T01:37:55.7652176Z 2022-11-23T01:37:55.7652234Z - 2022-11-23T01:37:55.7652357Z local 'ex[1]' TENSOR_MATCH 2022-11-23T01:37:55.7652421Z { 2022-11-23T01:37:55.7652564Z 'guard_types': ['TENSOR_MATCH'], 2022-11-23T01:37:55.7652673Z 'code': None, 2022-11-23T01:37:55.7652889Z 'obj_weakref': 2022-11-23T01:37:55.7653146Z 'guarded_class': 2022-11-23T01:37:55.7653199Z } 2022-11-23T01:37:55.7653260Z 2022-11-23T01:37:55.7653332Z - 2022-11-23T01:37:55.7653465Z local 'model' FUNCTION_MATCH 2022-11-23T01:37:55.7653528Z { 2022-11-23T01:37:55.7653694Z 'guard_types': ['ID_MATCH'], 2022-11-23T01:37:55.7653856Z 'code': ['___check_obj_id(model, 140539304336848)'], 2022-11-23T01:37:55.7653979Z 'obj_weakref': None 2022-11-23T01:37:55.7654210Z 'guarded_class': 2022-11-23T01:37:55.7654274Z } 2022-11-23T01:37:55.7654336Z 2022-11-23T01:37:55.7654406Z - 2022-11-23T01:37:55.7654527Z local 'kwargs' DICT_KEYS 2022-11-23T01:37:55.7654577Z { 2022-11-23T01:37:55.7654714Z 'guard_types': ['DICT_KEYS'], 2022-11-23T01:37:55.7654969Z 'code': ['___check_type_id(kwargs, 93851402551456)', 'set(kwargs.keys()) == set()'], 2022-11-23T01:37:55.7655093Z 'obj_weakref': None 2022-11-23T01:37:55.7655317Z 'guarded_class': 2022-11-23T01:37:55.7655383Z } 2022-11-23T01:37:55.7655446Z 2022-11-23T01:37:55.7655708Z [2022-11-23 01:37:53,077] torch._inductor.compile_fx: [INFO] Step 1: torchinductor compiling FORWARDS graph 515 2022-11-23T01:37:55.7656063Z [2022-11-23 01:37:53,087] torch._inductor.graph: [CODE] Output code: /tmp/torchinductor_jenkins/w4/cw4j27qodhg64qglulcxmk76qw4oxxpsf36voywwwqwm2umqdrra.py 2022-11-23T01:37:55.7656333Z [2022-11-23 01:37:53,087] torch._inductor.compile_fx: [INFO] Step 1: torchinductor done compiling FORWARDS graph 515 2022-11-23T01:37:55.7656338Z 2022-11-23T01:37:55.7656434Z from ctypes import c_void_p, c_long 2022-11-23T01:37:55.7656508Z import torch 2022-11-23T01:37:55.7656580Z import random 2022-11-23T01:37:55.7656696Z from torch import empty_strided, as_strided, device 2022-11-23T01:37:55.7656819Z from torch._inductor.codecache import AsyncCompile 2022-11-23T01:37:55.7656824Z 2022-11-23T01:37:55.7656902Z aten = torch.ops.aten 2022-11-23T01:37:55.7657025Z assert_size_stride = torch._C._dynamo.guards.assert_size_stride 2022-11-23T01:37:55.7657120Z async_compile = AsyncCompile() 2022-11-23T01:37:55.7657125Z 2022-11-23T01:37:55.7657130Z 2022-11-23T01:37:55.7657271Z kernel_cpp_0 = async_compile.cpp(''' 2022-11-23T01:37:55.7657481Z #include "/tmp/torchinductor_jenkins/77/c7773nj5pwikpmm2pwa62rcudlf7p3if7eyqb5k4sjsvewwje4le.h" 2022-11-23T01:37:55.7657602Z extern "C" void kernel(const float* __restrict__ in_ptr0, 2022-11-23T01:37:55.7657711Z const float* __restrict__ in_ptr1, 2022-11-23T01:37:55.7657815Z float* __restrict__ out_ptr0) 2022-11-23T01:37:55.7657879Z { 2022-11-23T01:37:55.7657953Z for(long i0=0; i0<12; i0+=1) 2022-11-23T01:37:55.7658016Z { 2022-11-23T01:37:55.7658167Z auto tmp0 = at::vec::Vectorized::loadu(in_ptr0 + 8*i0); 2022-11-23T01:37:55.7658300Z auto tmp1 = at::vec::Vectorized::loadu(in_ptr1 + 8*i0); 2022-11-23T01:37:55.7658384Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.7658476Z tmp2.store(out_ptr0 + 8*i0); 2022-11-23T01:37:55.7658538Z } 2022-11-23T01:37:55.7658613Z #pragma omp simd simdlen(4) 2022-11-23T01:37:55.7658695Z for(long i0=96; i0<100; i0+=1) 2022-11-23T01:37:55.7658995Z { 2022-11-23T01:37:55.7659129Z auto tmp0 = in_ptr0[i0]; 2022-11-23T01:37:55.7659225Z auto tmp1 = in_ptr1[i0]; 2022-11-23T01:37:55.7659308Z auto tmp2 = tmp0 + tmp1; 2022-11-23T01:37:55.7659387Z out_ptr0[i0] = tmp2; 2022-11-23T01:37:55.7659435Z } 2022-11-23T01:37:55.7659497Z } 2022-11-23T01:37:55.7659586Z ''') 2022-11-23T01:37:55.7659592Z 2022-11-23T01:37:55.7659596Z 2022-11-23T01:37:55.7659687Z async_compile.wait(globals()) 2022-11-23T01:37:55.7659763Z del async_compile 2022-11-23T01:37:55.7659768Z 2022-11-23T01:37:55.7659839Z def call(args): 2022-11-23T01:37:55.7659916Z arg0_1, arg1_1 = args 2022-11-23T01:37:55.7659974Z args.clear() 2022-11-23T01:37:55.7660178Z buf0 = empty_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7660401Z kernel_cpp_0(c_void_p(arg0_1.data_ptr()), c_void_p(arg1_1.data_ptr()), c_void_p(buf0.data_ptr())) 2022-11-23T01:37:55.7660472Z del arg0_1 2022-11-23T01:37:55.7660543Z del arg1_1 2022-11-23T01:37:55.7660617Z return (buf0, ) 2022-11-23T01:37:55.7660622Z 2022-11-23T01:37:55.7660626Z 2022-11-23T01:37:55.7660702Z if __name__ == "__main__": 2022-11-23T01:37:55.7660803Z from torch._dynamo.testing import rand_strided 2022-11-23T01:37:55.7660929Z from torch._inductor.utils import print_performance 2022-11-23T01:37:55.7661135Z arg0_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7661382Z arg1_1 = rand_strided((10, 10), (1, 10), device='cpu', dtype=torch.float32) 2022-11-23T01:37:55.7661495Z print_performance(lambda: call([arg0_1, arg1_1])) 2022-11-23T01:37:55.7661500Z 2022-11-23T01:37:55.7661567Z ok (0.034s) 2022-11-23T01:37:55.7661715Z test_indexing_join (__main__.TestIndexingSimplification) ... ok (0.081s) 2022-11-23T01:37:55.7661883Z test_indexing_simplification (__main__.TestIndexingSimplification) ... ok (0.078s) 2022-11-23T01:37:55.7661889Z 2022-11-23T01:37:55.7662088Z ---------------------------------------------------------------------- 2022-11-23T01:37:55.7662153Z Ran 341 tests in 523.099s 2022-11-23T01:37:55.7662158Z 2022-11-23T01:37:55.7662229Z OK (skipped=17) 2022-11-23T01:37:55.7662234Z 2022-11-23T01:37:55.7662316Z Generating XML reports... 2022-11-23T01:37:55.7662629Z Generated XML report: test-reports/python-unittest/inductor.test_torchinductor/TEST-CPUReproTests-20221123012910.xml 2022-11-23T01:37:55.7662922Z Generated XML report: test-reports/python-unittest/inductor.test_torchinductor/TEST-CpuTests-20221123012910.xml 2022-11-23T01:37:55.7663248Z Generated XML report: test-reports/python-unittest/inductor.test_torchinductor/TEST-SweepInputsCpuTest-20221123012910.xml 2022-11-23T01:37:55.7663597Z Generated XML report: test-reports/python-unittest/inductor.test_torchinductor/TEST-TestIndexingSimplification-20221123012910.xml 2022-11-23T01:37:55.7663604Z 2022-11-23T01:37:55.7663975Z ##[endgroup] 2022-11-23T01:37:55.7664308Z FINISHED PRINTING LOG FILE of inductor/test_torchinductor (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_fjjdmudm) 2022-11-23T01:37:55.7664314Z 2022-11-23T01:37:56.2250114Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:37:56.3637412Z Ignoring disabled issues: [] 2022-11-23T01:37:56.3795255Z Running test_jit ... [2022-11-23 01:37:56.379228] 2022-11-23T01:37:56.3797173Z Executing ['/opt/conda/bin/python', '-bb', 'test_jit.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:37:56.379480] 2022-11-23T01:39:02.4603650Z 2022-11-23T01:39:02.4604088Z Expand the folded group to see the log file of test_jit_fuser_te 2022-11-23T01:39:02.4604755Z ##[group]PRINTING LOG FILE of test_jit_fuser_te (/var/lib/jenkins/workspace/test/test-reports/test_jit_fuser_te_4tr6wpp9) 2022-11-23T01:39:02.4615127Z Test results will be stored in test-reports/python-unittest/test_jit_fuser_te 2022-11-23T01:39:02.4615764Z CUDA not available, skipping tests 2022-11-23T01:39:02.4616377Z monkeytype is not installed. Skipping tests for Profile-Directed Typing 2022-11-23T01:39:02.4616621Z 2022-11-23T01:39:02.4616747Z Running tests... 2022-11-23T01:39:02.4617303Z ---------------------------------------------------------------------- 2022-11-23T01:39:02.4618081Z test_autodiff_fallback (jit.test_fuser_common.TestFuserCommon) ... ok (0.110s) 2022-11-23T01:39:02.4618591Z test_relu_cpu (__main__.TestLoopnestRandomizationCPU) ... ok (0.037s) 2022-11-23T01:39:02.4619278Z test_failures___rmatmul___cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.008s) 2022-11-23T01:39:02.4619799Z test_failures_frac_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.037s) 2022-11-23T01:39:02.4620282Z test_failures_matmul_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.008s) 2022-11-23T01:39:02.4621095Z test_nnc_correctness_H_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s) 2022-11-23T01:39:02.4621807Z test_nnc_correctness_H_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4622522Z test_nnc_correctness_H_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4623296Z test_nnc_correctness_H_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4623897Z test_nnc_correctness_H_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4624694Z test_nnc_correctness_H_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4625377Z test_nnc_correctness_H_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4626060Z test_nnc_correctness_H_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4626736Z test_nnc_correctness_H_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4627459Z test_nnc_correctness_H_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4628269Z test_nnc_correctness_H_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4628964Z test_nnc_correctness_H_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4629702Z test_nnc_correctness_H_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4630475Z test_nnc_correctness_T_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4631160Z test_nnc_correctness_T_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4631900Z test_nnc_correctness_T_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4632588Z test_nnc_correctness_T_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4633301Z test_nnc_correctness_T_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4634024Z test_nnc_correctness_T_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4634710Z test_nnc_correctness_T_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4635392Z test_nnc_correctness_T_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4636100Z test_nnc_correctness_T_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4636804Z test_nnc_correctness_T_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4637519Z test_nnc_correctness_T_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4638340Z test_nnc_correctness_T_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4639069Z test_nnc_correctness_T_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4639839Z test_nnc_correctness___getitem___cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4640589Z test_nnc_correctness___getitem___cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4641435Z test_nnc_correctness___getitem___cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4642235Z test_nnc_correctness___getitem___cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4642986Z test_nnc_correctness___getitem___cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4643717Z test_nnc_correctness___getitem___cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4644460Z test_nnc_correctness___getitem___cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4645197Z test_nnc_correctness___getitem___cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4645959Z test_nnc_correctness___getitem___cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4646761Z test_nnc_correctness___getitem___cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4647472Z test_nnc_correctness___getitem___cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4648231Z test_nnc_correctness___getitem___cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4649014Z test_nnc_correctness___getitem___cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4649781Z test_nnc_correctness___radd___cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4650562Z test_nnc_correctness___radd___cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4651361Z test_nnc_correctness___radd___cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4652142Z test_nnc_correctness___radd___cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4652706Z test_nnc_correctness___radd___cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4653335Z test_nnc_correctness___radd___cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4653920Z test_nnc_correctness___radd___cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4654534Z test_nnc_correctness___radd___cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4655106Z test_nnc_correctness___radd___cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4655665Z test_nnc_correctness___radd___cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4656319Z test_nnc_correctness___radd___cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4656874Z test_nnc_correctness___radd___cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4657541Z test_nnc_correctness___rand___cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4658095Z test_nnc_correctness___rand___cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4658853Z test_nnc_correctness___rand___cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4659468Z test_nnc_correctness___rand___cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4660057Z test_nnc_correctness___rand___cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4660658Z test_nnc_correctness___rand___cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4661255Z test_nnc_correctness___rdiv___cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4661829Z test_nnc_correctness___rdiv___cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4662426Z test_nnc_correctness___rdiv___cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4663044Z test_nnc_correctness___rdiv___cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4663633Z test_nnc_correctness___rdiv___cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4664168Z test_nnc_correctness___rdiv___cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4664818Z test_nnc_correctness___rdiv___cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4665525Z test_nnc_correctness___rdiv___cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4666290Z test_nnc_correctness___rdiv___cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4667052Z test_nnc_correctness___rdiv___cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4668749Z test_nnc_correctness___rdiv___cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4669365Z test_nnc_correctness___rdiv___cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4670084Z test_nnc_correctness___rmatmul___cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4670822Z test_nnc_correctness___rmatmul___cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4671595Z test_nnc_correctness___rmatmul___cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4672309Z test_nnc_correctness___rmatmul___cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4673132Z test_nnc_correctness___rmatmul___cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4673855Z test_nnc_correctness___rmatmul___cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4674582Z test_nnc_correctness___rmatmul___cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4675233Z test_nnc_correctness___rmatmul___cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4675930Z test_nnc_correctness___rmatmul___cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4676724Z test_nnc_correctness___rmatmul___cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4677322Z test_nnc_correctness___rmod___cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4677922Z test_nnc_correctness___rmod___cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4678513Z test_nnc_correctness___rmod___cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4679121Z test_nnc_correctness___rmod___cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4679701Z test_nnc_correctness___rmul___cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4680370Z test_nnc_correctness___rmul___cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4681077Z test_nnc_correctness___rmul___cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4681804Z test_nnc_correctness___rmul___cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4682509Z test_nnc_correctness___rmul___cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4683216Z test_nnc_correctness___rmul___cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4683933Z test_nnc_correctness___rmul___cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4684667Z test_nnc_correctness___rmul___cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4685116Z test_nnc_correctness___rmul___cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4685807Z test_nnc_correctness___rmul___cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4686505Z test_nnc_correctness___rmul___cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4687192Z test_nnc_correctness___rmul___cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4687902Z test_nnc_correctness___ror___cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4688647Z test_nnc_correctness___ror___cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4689349Z test_nnc_correctness___ror___cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4690095Z test_nnc_correctness___ror___cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4690684Z test_nnc_correctness___ror___cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4691374Z test_nnc_correctness___ror___cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4692098Z test_nnc_correctness___rpow___cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4692852Z test_nnc_correctness___rpow___cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4693607Z test_nnc_correctness___rpow___cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4694371Z test_nnc_correctness___rpow___cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4695109Z test_nnc_correctness___rpow___cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4695844Z test_nnc_correctness___rpow___cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4696519Z test_nnc_correctness___rpow___cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4697258Z test_nnc_correctness___rpow___cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4697990Z test_nnc_correctness___rpow___cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4698726Z test_nnc_correctness___rpow___cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4699542Z test_nnc_correctness___rpow___cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4700249Z test_nnc_correctness___rsub___cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4700983Z test_nnc_correctness___rsub___cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4701693Z test_nnc_correctness___rsub___cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4702523Z test_nnc_correctness___rsub___cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4703218Z test_nnc_correctness___rsub___cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4703934Z test_nnc_correctness___rsub___cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4704665Z test_nnc_correctness___rsub___cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4705441Z test_nnc_correctness___rsub___cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4706125Z test_nnc_correctness___rsub___cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4706824Z test_nnc_correctness___rsub___cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4707552Z test_nnc_correctness___rsub___cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4708331Z test_nnc_correctness___rxor___cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4709016Z test_nnc_correctness___rxor___cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4709704Z test_nnc_correctness___rxor___cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4710596Z test_nnc_correctness___rxor___cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4711286Z test_nnc_correctness___rxor___cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4711999Z test_nnc_correctness___rxor___cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4712725Z test_nnc_correctness__softmax_backward_data_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4713535Z test_nnc_correctness__softmax_backward_data_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4714305Z test_nnc_correctness__softmax_backward_data_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4715074Z test_nnc_correctness_abs_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4715817Z test_nnc_correctness_abs_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4716598Z test_nnc_correctness_abs_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4717393Z test_nnc_correctness_abs_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4718137Z test_nnc_correctness_abs_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4718979Z test_nnc_correctness_abs_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4719716Z test_nnc_correctness_abs_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4720383Z test_nnc_correctness_abs_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4721071Z test_nnc_correctness_abs_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4721734Z test_nnc_correctness_abs_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4722511Z test_nnc_correctness_abs_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4723206Z test_nnc_correctness_abs_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4723916Z test_nnc_correctness_acos_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4724616Z test_nnc_correctness_acos_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4725318Z test_nnc_correctness_acos_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4726046Z test_nnc_correctness_acos_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4726755Z test_nnc_correctness_acos_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4727450Z test_nnc_correctness_acos_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4728155Z test_nnc_correctness_acos_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4728849Z test_nnc_correctness_acos_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4729555Z test_nnc_correctness_acos_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4730268Z test_nnc_correctness_acos_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4730983Z test_nnc_correctness_acos_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4731699Z test_nnc_correctness_acosh_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4732471Z test_nnc_correctness_acosh_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4733197Z test_nnc_correctness_acosh_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4733926Z test_nnc_correctness_acosh_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4734628Z test_nnc_correctness_acosh_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4735408Z test_nnc_correctness_acosh_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4736110Z test_nnc_correctness_acosh_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4736872Z test_nnc_correctness_acosh_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4737414Z test_nnc_correctness_acosh_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4737830Z test_nnc_correctness_acosh_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4738303Z test_nnc_correctness_acosh_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4738732Z test_nnc_correctness_add_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4739309Z test_nnc_correctness_add_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4739725Z test_nnc_correctness_add_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4740162Z test_nnc_correctness_add_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4740595Z test_nnc_correctness_add_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4741027Z test_nnc_correctness_add_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4741451Z test_nnc_correctness_add_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4741866Z test_nnc_correctness_add_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4742292Z test_nnc_correctness_add_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4742710Z test_nnc_correctness_add_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4743123Z test_nnc_correctness_add_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4743537Z test_nnc_correctness_add_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4743954Z test_nnc_correctness_add_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4744383Z test_nnc_correctness_addbmm_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4744821Z test_nnc_correctness_addbmm_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4745248Z test_nnc_correctness_addbmm_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4745684Z test_nnc_correctness_addbmm_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4746119Z test_nnc_correctness_addbmm_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4746607Z test_nnc_correctness_addbmm_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4747026Z test_nnc_correctness_addbmm_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4747451Z test_nnc_correctness_addbmm_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4747874Z test_nnc_correctness_addbmm_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4748440Z test_nnc_correctness_addbmm_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4748860Z test_nnc_correctness_addcdiv_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4749295Z test_nnc_correctness_addcdiv_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4749736Z test_nnc_correctness_addcdiv_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4750173Z test_nnc_correctness_addcdiv_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4750607Z test_nnc_correctness_addcdiv_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4751034Z test_nnc_correctness_addcmul_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4751479Z test_nnc_correctness_addcmul_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4751921Z test_nnc_correctness_addcmul_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4752356Z test_nnc_correctness_addcmul_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4752776Z test_nnc_correctness_addcmul_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4753206Z test_nnc_correctness_addcmul_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4753640Z test_nnc_correctness_addcmul_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4754071Z test_nnc_correctness_addcmul_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4754488Z test_nnc_correctness_addcmul_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4754915Z test_nnc_correctness_addcmul_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4755348Z test_nnc_correctness_addmm_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4755785Z test_nnc_correctness_addmm_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4756245Z test_nnc_correctness_addmm_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4756678Z test_nnc_correctness_addmm_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4757110Z test_nnc_correctness_addmm_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4757534Z test_nnc_correctness_addmm_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4757959Z test_nnc_correctness_addmm_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4758400Z test_nnc_correctness_addmm_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4758829Z test_nnc_correctness_addmm_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4759253Z test_nnc_correctness_addmm_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4759695Z test_nnc_correctness_addmm_decomposed_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4760141Z test_nnc_correctness_addmm_decomposed_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4760608Z test_nnc_correctness_addmm_decomposed_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4761070Z test_nnc_correctness_addmm_decomposed_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4761527Z test_nnc_correctness_addmm_decomposed_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4761962Z test_nnc_correctness_addmm_decomposed_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4762417Z test_nnc_correctness_addmm_decomposed_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4762872Z test_nnc_correctness_addmm_decomposed_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4763327Z test_nnc_correctness_addmm_decomposed_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4786791Z test_nnc_correctness_addmm_decomposed_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4787440Z test_nnc_correctness_addmv_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4787890Z test_nnc_correctness_addmv_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4788408Z test_nnc_correctness_addmv_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4788852Z test_nnc_correctness_addmv_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4789274Z test_nnc_correctness_addmv_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4789816Z test_nnc_correctness_addmv_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4790245Z test_nnc_correctness_addmv_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4790672Z test_nnc_correctness_addmv_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4791083Z test_nnc_correctness_addmv_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4791553Z test_nnc_correctness_addmv_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4791984Z test_nnc_correctness_addr_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4792414Z test_nnc_correctness_addr_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4792835Z test_nnc_correctness_addr_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4793273Z test_nnc_correctness_addr_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4793704Z test_nnc_correctness_addr_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4794131Z test_nnc_correctness_addr_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4794551Z test_nnc_correctness_addr_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4794962Z test_nnc_correctness_addr_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4795385Z test_nnc_correctness_addr_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4795804Z test_nnc_correctness_addr_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4796226Z test_nnc_correctness_addr_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4796636Z test_nnc_correctness_addr_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4797061Z test_nnc_correctness_all_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4797485Z test_nnc_correctness_all_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4797907Z test_nnc_correctness_all_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4798326Z test_nnc_correctness_all_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4798753Z test_nnc_correctness_all_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4799176Z test_nnc_correctness_all_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4799626Z test_nnc_correctness_all_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4800033Z test_nnc_correctness_all_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4800449Z test_nnc_correctness_all_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4800858Z test_nnc_correctness_all_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4801271Z test_nnc_correctness_all_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4801710Z test_nnc_correctness_all_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4802099Z test_nnc_correctness_allclose_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4802454Z test_nnc_correctness_allclose_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4802808Z test_nnc_correctness_allclose_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4803143Z test_nnc_correctness_allclose_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4803487Z test_nnc_correctness_allclose_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4803829Z test_nnc_correctness_allclose_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4804226Z test_nnc_correctness_amax_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4804643Z test_nnc_correctness_amax_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4805067Z test_nnc_correctness_amax_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4805491Z test_nnc_correctness_amax_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4805911Z test_nnc_correctness_amax_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4806316Z test_nnc_correctness_amax_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4806799Z test_nnc_correctness_amax_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4807220Z test_nnc_correctness_amax_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4807640Z test_nnc_correctness_amax_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4808044Z test_nnc_correctness_amax_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4808467Z test_nnc_correctness_amin_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4808889Z test_nnc_correctness_amin_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4809314Z test_nnc_correctness_amin_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4809762Z test_nnc_correctness_amin_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4810168Z test_nnc_correctness_amin_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4810586Z test_nnc_correctness_amin_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4811006Z test_nnc_correctness_amin_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4811418Z test_nnc_correctness_amin_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4811884Z test_nnc_correctness_amin_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4812305Z test_nnc_correctness_amin_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4812730Z test_nnc_correctness_aminmax_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4813165Z test_nnc_correctness_aminmax_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4813586Z test_nnc_correctness_aminmax_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4814023Z test_nnc_correctness_aminmax_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4814447Z test_nnc_correctness_aminmax_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4814870Z test_nnc_correctness_aminmax_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4815282Z test_nnc_correctness_aminmax_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4815710Z test_nnc_correctness_aminmax_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4816142Z test_nnc_correctness_angle_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4816573Z test_nnc_correctness_angle_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4817008Z test_nnc_correctness_angle_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4817434Z test_nnc_correctness_angle_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4817870Z test_nnc_correctness_angle_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4818299Z test_nnc_correctness_angle_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4818722Z test_nnc_correctness_angle_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4819296Z test_nnc_correctness_angle_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4819767Z test_nnc_correctness_angle_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4820195Z test_nnc_correctness_angle_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4820615Z test_nnc_correctness_angle_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4821026Z test_nnc_correctness_angle_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4821449Z test_nnc_correctness_any_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4821923Z test_nnc_correctness_any_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4822348Z test_nnc_correctness_any_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4822771Z test_nnc_correctness_any_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4823197Z test_nnc_correctness_any_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4823615Z test_nnc_correctness_any_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4824029Z test_nnc_correctness_any_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4824437Z test_nnc_correctness_any_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4824856Z test_nnc_correctness_any_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4825274Z test_nnc_correctness_any_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4825698Z test_nnc_correctness_any_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4826119Z test_nnc_correctness_any_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4826538Z test_nnc_correctness_arange_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4826970Z test_nnc_correctness_arange_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4827397Z test_nnc_correctness_arange_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4827814Z test_nnc_correctness_arange_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4828285Z test_nnc_correctness_arange_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4828711Z test_nnc_correctness_arange_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4829135Z test_nnc_correctness_arange_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4829591Z test_nnc_correctness_arange_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4830008Z test_nnc_correctness_arange_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4830440Z test_nnc_correctness_argmax_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4830875Z test_nnc_correctness_argmax_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4831304Z test_nnc_correctness_argmax_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4831745Z test_nnc_correctness_argmax_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4832166Z test_nnc_correctness_argmax_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4832587Z test_nnc_correctness_argmax_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4833005Z test_nnc_correctness_argmax_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4833427Z test_nnc_correctness_argmax_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4833838Z test_nnc_correctness_argmax_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4834270Z test_nnc_correctness_argmin_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4834704Z test_nnc_correctness_argmin_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4835135Z test_nnc_correctness_argmin_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4835543Z test_nnc_correctness_argmin_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4835971Z test_nnc_correctness_argmin_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4836393Z test_nnc_correctness_argmin_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4836813Z test_nnc_correctness_argmin_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4837225Z test_nnc_correctness_argmin_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4837654Z test_nnc_correctness_argmin_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4838085Z test_nnc_correctness_argsort_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4838514Z test_nnc_correctness_argsort_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4838931Z test_nnc_correctness_argsort_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4839394Z test_nnc_correctness_argsort_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4839829Z test_nnc_correctness_argsort_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4840263Z test_nnc_correctness_argsort_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4840681Z test_nnc_correctness_argsort_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4841106Z test_nnc_correctness_argsort_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4841576Z test_nnc_correctness_argsort_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4842008Z test_nnc_correctness_argsort_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4842445Z test_nnc_correctness_argwhere_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4842868Z test_nnc_correctness_argwhere_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4843308Z test_nnc_correctness_argwhere_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4843761Z test_nnc_correctness_argwhere_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4844204Z test_nnc_correctness_argwhere_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4844633Z test_nnc_correctness_argwhere_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4845075Z test_nnc_correctness_argwhere_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4845508Z test_nnc_correctness_argwhere_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4845944Z test_nnc_correctness_argwhere_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4846356Z test_nnc_correctness_argwhere_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4846787Z test_nnc_correctness_argwhere_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4847218Z test_nnc_correctness_argwhere_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4847654Z test_nnc_correctness_as_strided_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4848101Z test_nnc_correctness_as_strided_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4848530Z test_nnc_correctness_as_strided_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4848977Z test_nnc_correctness_as_strided_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4849445Z test_nnc_correctness_as_strided_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4849879Z test_nnc_correctness_as_strided_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4850293Z test_nnc_correctness_as_strided_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4850725Z test_nnc_correctness_as_strided_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4851191Z test_nnc_correctness_as_strided_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4851614Z test_nnc_correctness_as_strided_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4852038Z test_nnc_correctness_as_strided_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4852471Z test_nnc_correctness_as_strided_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4852898Z test_nnc_correctness_as_strided_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4853344Z test_nnc_correctness_as_strided_scatter_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4853788Z test_nnc_correctness_as_strided_scatter_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4854244Z test_nnc_correctness_as_strided_scatter_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4854705Z test_nnc_correctness_as_strided_scatter_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4855161Z test_nnc_correctness_as_strided_scatter_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4855614Z test_nnc_correctness_as_strided_scatter_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4856056Z test_nnc_correctness_as_strided_scatter_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4856503Z test_nnc_correctness_as_strided_scatter_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4856959Z test_nnc_correctness_as_strided_scatter_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4857406Z test_nnc_correctness_as_strided_scatter_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4857843Z test_nnc_correctness_as_strided_scatter_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4858285Z test_nnc_correctness_as_strided_scatter_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4858731Z test_nnc_correctness_as_strided_scatter_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4859371Z test_nnc_correctness_asin_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4859801Z test_nnc_correctness_asin_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4860216Z test_nnc_correctness_asin_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4860649Z test_nnc_correctness_asin_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4861121Z test_nnc_correctness_asin_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4861552Z test_nnc_correctness_asin_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4861963Z test_nnc_correctness_asin_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4862380Z test_nnc_correctness_asin_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4862796Z test_nnc_correctness_asin_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4863214Z test_nnc_correctness_asin_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4863625Z test_nnc_correctness_asin_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4864053Z test_nnc_correctness_asinh_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4864477Z test_nnc_correctness_asinh_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4864907Z test_nnc_correctness_asinh_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4865334Z test_nnc_correctness_asinh_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4865766Z test_nnc_correctness_asinh_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4866198Z test_nnc_correctness_asinh_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4866624Z test_nnc_correctness_asinh_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4867031Z test_nnc_correctness_asinh_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4867446Z test_nnc_correctness_asinh_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4867869Z test_nnc_correctness_asinh_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4868356Z test_nnc_correctness_asinh_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4868787Z test_nnc_correctness_atan2_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4869235Z test_nnc_correctness_atan2_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4869662Z test_nnc_correctness_atan2_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4870087Z test_nnc_correctness_atan2_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4870510Z test_nnc_correctness_atan2_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4870913Z test_nnc_correctness_atan2_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4871366Z test_nnc_correctness_atan2_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4871791Z test_nnc_correctness_atan2_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4872215Z test_nnc_correctness_atan2_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4872627Z test_nnc_correctness_atan_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4873048Z test_nnc_correctness_atan_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4873479Z test_nnc_correctness_atan_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4873911Z test_nnc_correctness_atan_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4874332Z test_nnc_correctness_atan_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4874758Z test_nnc_correctness_atan_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4875178Z test_nnc_correctness_atan_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4875601Z test_nnc_correctness_atan_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4876020Z test_nnc_correctness_atan_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4876427Z test_nnc_correctness_atan_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4876845Z test_nnc_correctness_atan_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4877271Z test_nnc_correctness_atanh_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4877694Z test_nnc_correctness_atanh_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4878114Z test_nnc_correctness_atanh_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4878551Z test_nnc_correctness_atanh_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4879020Z test_nnc_correctness_atanh_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4879445Z test_nnc_correctness_atanh_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4879859Z test_nnc_correctness_atanh_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4880279Z test_nnc_correctness_atanh_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4880694Z test_nnc_correctness_atanh_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4881143Z test_nnc_correctness_atanh_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4881558Z test_nnc_correctness_atanh_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4881993Z test_nnc_correctness_atleast_1d_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4882430Z test_nnc_correctness_atleast_1d_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4882873Z test_nnc_correctness_atleast_1d_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4883325Z test_nnc_correctness_atleast_1d_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4883753Z test_nnc_correctness_atleast_1d_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4884198Z test_nnc_correctness_atleast_1d_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4884637Z test_nnc_correctness_atleast_1d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4885075Z test_nnc_correctness_atleast_1d_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4885497Z test_nnc_correctness_atleast_1d_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4885932Z test_nnc_correctness_atleast_1d_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4886367Z test_nnc_correctness_atleast_1d_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4886794Z test_nnc_correctness_atleast_1d_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4887214Z test_nnc_correctness_atleast_1d_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4887650Z test_nnc_correctness_atleast_2d_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4888086Z test_nnc_correctness_atleast_2d_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4888529Z test_nnc_correctness_atleast_2d_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4888995Z test_nnc_correctness_atleast_2d_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4889440Z test_nnc_correctness_atleast_2d_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4889878Z test_nnc_correctness_atleast_2d_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4890313Z test_nnc_correctness_atleast_2d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4890786Z test_nnc_correctness_atleast_2d_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4891207Z test_nnc_correctness_atleast_2d_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4891640Z test_nnc_correctness_atleast_2d_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4892066Z test_nnc_correctness_atleast_2d_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4892499Z test_nnc_correctness_atleast_2d_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4892923Z test_nnc_correctness_atleast_2d_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4893358Z test_nnc_correctness_atleast_3d_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4893796Z test_nnc_correctness_atleast_3d_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4894242Z test_nnc_correctness_atleast_3d_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4894673Z test_nnc_correctness_atleast_3d_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4895116Z test_nnc_correctness_atleast_3d_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4895558Z test_nnc_correctness_atleast_3d_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4895991Z test_nnc_correctness_atleast_3d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4896432Z test_nnc_correctness_atleast_3d_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4896851Z test_nnc_correctness_atleast_3d_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4897278Z test_nnc_correctness_atleast_3d_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4897707Z test_nnc_correctness_atleast_3d_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4898138Z test_nnc_correctness_atleast_3d_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4898583Z test_nnc_correctness_atleast_3d_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4899168Z test_nnc_correctness_baddbmm_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4899607Z test_nnc_correctness_baddbmm_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4900053Z test_nnc_correctness_baddbmm_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4900483Z test_nnc_correctness_baddbmm_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4900972Z test_nnc_correctness_baddbmm_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4901405Z test_nnc_correctness_baddbmm_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4901837Z test_nnc_correctness_baddbmm_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4902252Z test_nnc_correctness_baddbmm_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4902682Z test_nnc_correctness_baddbmm_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4903117Z test_nnc_correctness_baddbmm_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4903560Z test_nnc_correctness_bernoulli_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4904004Z test_nnc_correctness_bernoulli_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4904430Z test_nnc_correctness_bernoulli_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4904828Z test_nnc_correctness_bfloat16_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4905180Z test_nnc_correctness_bfloat16_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4905529Z test_nnc_correctness_bfloat16_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4905874Z test_nnc_correctness_bfloat16_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4906220Z test_nnc_correctness_bfloat16_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4906571Z test_nnc_correctness_bfloat16_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4906902Z test_nnc_correctness_bfloat16_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4907243Z test_nnc_correctness_bfloat16_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4907590Z test_nnc_correctness_bfloat16_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4907939Z test_nnc_correctness_bfloat16_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4908336Z test_nnc_correctness_bfloat16_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4908682Z test_nnc_correctness_bfloat16_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4909023Z test_nnc_correctness_bfloat16_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4909455Z test_nnc_correctness_bincount_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4909875Z test_nnc_correctness_bincount_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4910301Z test_nnc_correctness_bincount_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4910727Z test_nnc_correctness_bincount_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4911192Z test_nnc_correctness_bincount_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4911612Z test_nnc_correctness_bitwise_and_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4912051Z test_nnc_correctness_bitwise_and_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4912481Z test_nnc_correctness_bitwise_and_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4912917Z test_nnc_correctness_bitwise_and_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4913342Z test_nnc_correctness_bitwise_and_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4913783Z test_nnc_correctness_bitwise_and_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4914228Z test_nnc_correctness_bitwise_left_shift_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4914673Z test_nnc_correctness_bitwise_left_shift_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4915103Z test_nnc_correctness_bitwise_left_shift_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4915548Z test_nnc_correctness_bitwise_left_shift_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4915992Z test_nnc_correctness_bitwise_left_shift_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4916432Z test_nnc_correctness_bitwise_not_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4916867Z test_nnc_correctness_bitwise_not_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4917288Z test_nnc_correctness_bitwise_not_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4917712Z test_nnc_correctness_bitwise_not_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4918142Z test_nnc_correctness_bitwise_not_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4918572Z test_nnc_correctness_bitwise_not_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4919020Z test_nnc_correctness_bitwise_or_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4919451Z test_nnc_correctness_bitwise_or_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4919880Z test_nnc_correctness_bitwise_or_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4920305Z test_nnc_correctness_bitwise_or_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4920724Z test_nnc_correctness_bitwise_or_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4921186Z test_nnc_correctness_bitwise_or_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4921630Z test_nnc_correctness_bitwise_right_shift_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4922083Z test_nnc_correctness_bitwise_right_shift_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4922531Z test_nnc_correctness_bitwise_right_shift_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4922964Z test_nnc_correctness_bitwise_right_shift_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4923412Z test_nnc_correctness_bitwise_right_shift_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4923856Z test_nnc_correctness_bitwise_xor_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4924285Z test_nnc_correctness_bitwise_xor_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4924707Z test_nnc_correctness_bitwise_xor_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4925137Z test_nnc_correctness_bitwise_xor_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4925567Z test_nnc_correctness_bitwise_xor_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4926002Z test_nnc_correctness_bitwise_xor_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4926429Z test_nnc_correctness_block_diag_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4926870Z test_nnc_correctness_block_diag_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4927309Z test_nnc_correctness_block_diag_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4927754Z test_nnc_correctness_block_diag_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4928200Z test_nnc_correctness_block_diag_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4928623Z test_nnc_correctness_block_diag_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4929098Z test_nnc_correctness_block_diag_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4929528Z test_nnc_correctness_block_diag_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4929965Z test_nnc_correctness_block_diag_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4930384Z test_nnc_correctness_block_diag_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4930844Z test_nnc_correctness_block_diag_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4931277Z test_nnc_correctness_block_diag_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4931709Z test_nnc_correctness_block_diag_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4932123Z test_nnc_correctness_bmm_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4932560Z test_nnc_correctness_bmm_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4932991Z test_nnc_correctness_bmm_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4933424Z test_nnc_correctness_bmm_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4933836Z test_nnc_correctness_bmm_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4934257Z test_nnc_correctness_bmm_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4934677Z test_nnc_correctness_bmm_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4935094Z test_nnc_correctness_bmm_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4935517Z test_nnc_correctness_bmm_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4935923Z test_nnc_correctness_bmm_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4936352Z test_nnc_correctness_bool_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4936775Z test_nnc_correctness_bool_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4937200Z test_nnc_correctness_bool_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4937616Z test_nnc_correctness_bool_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4938045Z test_nnc_correctness_bool_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4938470Z test_nnc_correctness_bool_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4939092Z test_nnc_correctness_bool_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4939507Z test_nnc_correctness_bool_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4939931Z test_nnc_correctness_bool_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4940350Z test_nnc_correctness_bool_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4940814Z test_nnc_correctness_bool_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4941222Z test_nnc_correctness_bool_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4941643Z test_nnc_correctness_bool_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4942080Z test_nnc_correctness_broadcast_shapes_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4942537Z test_nnc_correctness_broadcast_tensors_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4942988Z test_nnc_correctness_broadcast_tensors_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4943437Z test_nnc_correctness_broadcast_tensors_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4943907Z test_nnc_correctness_broadcast_tensors_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4944374Z test_nnc_correctness_broadcast_tensors_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4944831Z test_nnc_correctness_broadcast_tensors_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4945273Z test_nnc_correctness_broadcast_tensors_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4945718Z test_nnc_correctness_broadcast_tensors_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4946172Z test_nnc_correctness_broadcast_tensors_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4946623Z test_nnc_correctness_broadcast_tensors_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4947060Z test_nnc_correctness_broadcast_tensors_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4947506Z test_nnc_correctness_broadcast_tensors_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4947957Z test_nnc_correctness_broadcast_to_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4948473Z test_nnc_correctness_broadcast_to_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4948960Z test_nnc_correctness_broadcast_to_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4949399Z test_nnc_correctness_broadcast_to_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4949846Z test_nnc_correctness_broadcast_to_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4950287Z test_nnc_correctness_broadcast_to_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4950755Z test_nnc_correctness_broadcast_to_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4951176Z test_nnc_correctness_broadcast_to_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4951611Z test_nnc_correctness_broadcast_to_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4952049Z test_nnc_correctness_broadcast_to_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4952492Z test_nnc_correctness_broadcast_to_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4952913Z test_nnc_correctness_broadcast_to_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4953356Z test_nnc_correctness_bucketize_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4953792Z test_nnc_correctness_bucketize_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4954225Z test_nnc_correctness_bucketize_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4954668Z test_nnc_correctness_bucketize_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4955092Z test_nnc_correctness_bucketize_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4955521Z test_nnc_correctness_bucketize_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4955955Z test_nnc_correctness_bucketize_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4956387Z test_nnc_correctness_bucketize_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4956809Z test_nnc_correctness_bucketize_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4957237Z test_nnc_correctness_byte_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4957663Z test_nnc_correctness_byte_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4958091Z test_nnc_correctness_byte_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4958539Z test_nnc_correctness_byte_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4958970Z test_nnc_correctness_byte_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4959389Z test_nnc_correctness_byte_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4959810Z test_nnc_correctness_byte_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4960216Z test_nnc_correctness_byte_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4960690Z test_nnc_correctness_byte_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4961109Z test_nnc_correctness_byte_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4961531Z test_nnc_correctness_byte_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4961951Z test_nnc_correctness_byte_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4962374Z test_nnc_correctness_cartesian_prod_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4962826Z test_nnc_correctness_cartesian_prod_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4963283Z test_nnc_correctness_cartesian_prod_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4963741Z test_nnc_correctness_cartesian_prod_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4964185Z test_nnc_correctness_cartesian_prod_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4964636Z test_nnc_correctness_cartesian_prod_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4965088Z test_nnc_correctness_cartesian_prod_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4965535Z test_nnc_correctness_cartesian_prod_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4965968Z test_nnc_correctness_cartesian_prod_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4966407Z test_nnc_correctness_cartesian_prod_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4966859Z test_nnc_correctness_cartesian_prod_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4967308Z test_nnc_correctness_cartesian_prod_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4967745Z test_nnc_correctness_cat_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4968156Z test_nnc_correctness_cat_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4968648Z test_nnc_correctness_cat_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4969084Z test_nnc_correctness_cat_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4969515Z test_nnc_correctness_cat_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4969934Z test_nnc_correctness_cat_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4970396Z test_nnc_correctness_cat_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4970833Z test_nnc_correctness_cat_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4971257Z test_nnc_correctness_cat_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4971668Z test_nnc_correctness_cat_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4972090Z test_nnc_correctness_cat_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4972514Z test_nnc_correctness_cat_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4972940Z test_nnc_correctness_cat_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4973354Z test_nnc_correctness_cdist_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4973789Z test_nnc_correctness_cdist_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4974182Z test_nnc_correctness_cdouble_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4974530Z test_nnc_correctness_cdouble_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4974868Z test_nnc_correctness_cdouble_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4975218Z test_nnc_correctness_cdouble_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4975575Z test_nnc_correctness_cdouble_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4975920Z test_nnc_correctness_cdouble_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4976250Z test_nnc_correctness_cdouble_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4976594Z test_nnc_correctness_cdouble_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4976936Z test_nnc_correctness_cdouble_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4977263Z test_nnc_correctness_cdouble_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4977603Z test_nnc_correctness_cdouble_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4977937Z test_nnc_correctness_cdouble_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4978277Z test_nnc_correctness_cdouble_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4978652Z test_nnc_correctness_ceil_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4979444Z test_nnc_correctness_ceil_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4980069Z test_nnc_correctness_ceil_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4980677Z test_nnc_correctness_ceil_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4981271Z test_nnc_correctness_ceil_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4981938Z test_nnc_correctness_ceil_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4982569Z test_nnc_correctness_ceil_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4983135Z test_nnc_correctness_ceil_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4983507Z test_nnc_correctness_cfloat_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4983852Z test_nnc_correctness_cfloat_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4984198Z test_nnc_correctness_cfloat_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4984546Z test_nnc_correctness_cfloat_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4984880Z test_nnc_correctness_cfloat_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4985226Z test_nnc_correctness_cfloat_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4985568Z test_nnc_correctness_cfloat_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4985910Z test_nnc_correctness_cfloat_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4986240Z test_nnc_correctness_cfloat_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4986574Z test_nnc_correctness_cfloat_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4986906Z test_nnc_correctness_cfloat_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4987307Z test_nnc_correctness_cfloat_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4987660Z test_nnc_correctness_cfloat_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.4988046Z test_nnc_correctness_chalf_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4988557Z test_nnc_correctness_chalf_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4988980Z test_nnc_correctness_chalf_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4989416Z test_nnc_correctness_chalf_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4989858Z test_nnc_correctness_chalf_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4990296Z test_nnc_correctness_chalf_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4990726Z test_nnc_correctness_chalf_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4991183Z test_nnc_correctness_chalf_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4991616Z test_nnc_correctness_chalf_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4992036Z test_nnc_correctness_chalf_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4992461Z test_nnc_correctness_chalf_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4992904Z test_nnc_correctness_chalf_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4993334Z test_nnc_correctness_chalf_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4993763Z test_nnc_correctness_char_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4994192Z test_nnc_correctness_char_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4994606Z test_nnc_correctness_char_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4995041Z test_nnc_correctness_char_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4995475Z test_nnc_correctness_char_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4995900Z test_nnc_correctness_char_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4996314Z test_nnc_correctness_char_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4996730Z test_nnc_correctness_char_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4997156Z test_nnc_correctness_char_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4997575Z test_nnc_correctness_char_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4998090Z test_nnc_correctness_char_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4998571Z test_nnc_correctness_char_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4998989Z test_nnc_correctness_char_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4999424Z test_nnc_correctness_cholesky_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.4999868Z test_nnc_correctness_cholesky_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5000299Z test_nnc_correctness_cholesky_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5000737Z test_nnc_correctness_cholesky_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5001223Z test_nnc_correctness_cholesky_inverse_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5001684Z test_nnc_correctness_cholesky_inverse_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5002127Z test_nnc_correctness_cholesky_inverse_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5002575Z test_nnc_correctness_cholesky_inverse_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5003060Z test_nnc_correctness_cholesky_solve_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5003516Z test_nnc_correctness_cholesky_solve_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5003952Z test_nnc_correctness_cholesky_solve_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5004401Z test_nnc_correctness_cholesky_solve_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5004841Z test_nnc_correctness_chunk_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5005273Z test_nnc_correctness_chunk_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5005706Z test_nnc_correctness_chunk_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5006132Z test_nnc_correctness_chunk_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5006567Z test_nnc_correctness_chunk_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5007000Z test_nnc_correctness_chunk_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5007429Z test_nnc_correctness_chunk_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5007842Z test_nnc_correctness_chunk_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5008272Z test_nnc_correctness_chunk_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5008693Z test_nnc_correctness_chunk_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5009113Z test_nnc_correctness_chunk_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5009520Z test_nnc_correctness_chunk_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5009944Z test_nnc_correctness_chunk_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5010373Z test_nnc_correctness_clamp_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5010829Z test_nnc_correctness_clamp_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5011241Z test_nnc_correctness_clamp_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5011666Z test_nnc_correctness_clamp_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5012086Z test_nnc_correctness_clamp_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5012507Z test_nnc_correctness_clamp_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5012957Z test_nnc_correctness_clamp_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5013369Z test_nnc_correctness_clamp_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5013802Z test_nnc_correctness_clamp_max_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5014236Z test_nnc_correctness_clamp_max_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5014666Z test_nnc_correctness_clamp_max_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5015093Z test_nnc_correctness_clamp_max_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5015525Z test_nnc_correctness_clamp_max_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5015960Z test_nnc_correctness_clamp_max_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5016392Z test_nnc_correctness_clamp_max_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5016809Z test_nnc_correctness_clamp_max_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5017239Z test_nnc_correctness_clamp_max_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5017665Z test_nnc_correctness_clamp_max_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5018098Z test_nnc_correctness_clamp_min_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5018519Z test_nnc_correctness_clamp_min_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5019101Z test_nnc_correctness_clamp_min_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5019536Z test_nnc_correctness_clamp_min_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5019973Z test_nnc_correctness_clamp_min_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5020412Z test_nnc_correctness_clamp_min_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5020882Z test_nnc_correctness_clamp_min_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5021315Z test_nnc_correctness_clamp_min_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5021745Z test_nnc_correctness_clamp_min_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5022176Z test_nnc_correctness_clamp_min_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5022628Z test_nnc_correctness_clone_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5023056Z test_nnc_correctness_clone_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5023486Z test_nnc_correctness_clone_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5023921Z test_nnc_correctness_clone_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5024337Z test_nnc_correctness_clone_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5024768Z test_nnc_correctness_clone_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5025201Z test_nnc_correctness_clone_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5025629Z test_nnc_correctness_clone_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5026043Z test_nnc_correctness_clone_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5026466Z test_nnc_correctness_clone_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5026891Z test_nnc_correctness_clone_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5027317Z test_nnc_correctness_clone_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5027747Z test_nnc_correctness_clone_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5028244Z test_nnc_correctness_column_stack_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5028690Z test_nnc_correctness_column_stack_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5029141Z test_nnc_correctness_column_stack_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5029593Z test_nnc_correctness_column_stack_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5030036Z test_nnc_correctness_column_stack_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5030490Z test_nnc_correctness_column_stack_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5030965Z test_nnc_correctness_column_stack_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5031405Z test_nnc_correctness_column_stack_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5031826Z test_nnc_correctness_column_stack_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5032264Z test_nnc_correctness_column_stack_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5032741Z test_nnc_correctness_column_stack_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5033183Z test_nnc_correctness_column_stack_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5033620Z test_nnc_correctness_column_stack_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5034051Z test_nnc_correctness_combinations_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5034500Z test_nnc_correctness_combinations_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5034953Z test_nnc_correctness_combinations_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5035411Z test_nnc_correctness_combinations_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5035852Z test_nnc_correctness_combinations_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5036303Z test_nnc_correctness_combinations_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5036746Z test_nnc_correctness_combinations_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5037183Z test_nnc_correctness_combinations_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5037610Z test_nnc_correctness_combinations_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5038051Z test_nnc_correctness_combinations_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5038488Z test_nnc_correctness_combinations_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5039012Z test_nnc_correctness_combinations_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5039436Z test_nnc_correctness_complex_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5039873Z test_nnc_correctness_complex_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5040309Z test_nnc_correctness_complex_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5040770Z test_nnc_correctness_conj_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5041197Z test_nnc_correctness_conj_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5041609Z test_nnc_correctness_conj_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5042042Z test_nnc_correctness_conj_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5042472Z test_nnc_correctness_conj_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5042925Z test_nnc_correctness_conj_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5043336Z test_nnc_correctness_conj_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5043754Z test_nnc_correctness_conj_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5044172Z test_nnc_correctness_conj_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5044588Z test_nnc_correctness_conj_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5044996Z test_nnc_correctness_conj_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5045413Z test_nnc_correctness_conj_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5045834Z test_nnc_correctness_conj_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5046270Z test_nnc_correctness_conj_physical_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5046701Z test_nnc_correctness_conj_physical_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5047145Z test_nnc_correctness_conj_physical_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5047605Z test_nnc_correctness_conj_physical_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5048061Z test_nnc_correctness_conj_physical_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5048510Z test_nnc_correctness_conj_physical_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5048942Z test_nnc_correctness_conj_physical_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5049416Z test_nnc_correctness_conj_physical_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5049979Z test_nnc_correctness_conj_physical_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5050423Z test_nnc_correctness_conj_physical_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5050882Z test_nnc_correctness_conj_physical_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5051315Z test_nnc_correctness_conj_physical_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5051754Z test_nnc_correctness_conj_physical_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5052198Z test_nnc_correctness_constant_pad_nd_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5052664Z test_nnc_correctness_constant_pad_nd_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5053116Z test_nnc_correctness_constant_pad_nd_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5053579Z test_nnc_correctness_constant_pad_nd_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5054033Z test_nnc_correctness_constant_pad_nd_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5054484Z test_nnc_correctness_constant_pad_nd_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5054917Z test_nnc_correctness_constant_pad_nd_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5055361Z test_nnc_correctness_constant_pad_nd_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5055803Z test_nnc_correctness_constant_pad_nd_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5056236Z test_nnc_correctness_constant_pad_nd_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5056662Z test_nnc_correctness_constant_pad_nd_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5057106Z test_nnc_correctness_constant_pad_nd_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5057556Z test_nnc_correctness_contiguous_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5057994Z test_nnc_correctness_contiguous_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5058427Z test_nnc_correctness_contiguous_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5059018Z test_nnc_correctness_contiguous_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5059468Z test_nnc_correctness_contiguous_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5059909Z test_nnc_correctness_contiguous_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5060354Z test_nnc_correctness_contiguous_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5060833Z test_nnc_correctness_contiguous_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5061313Z test_nnc_correctness_contiguous_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5061752Z test_nnc_correctness_contiguous_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5062184Z test_nnc_correctness_contiguous_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5062647Z test_nnc_correctness_contiguous_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5063090Z test_nnc_correctness_contiguous_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5063531Z test_nnc_correctness_copysign_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5063966Z test_nnc_correctness_copysign_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5064387Z test_nnc_correctness_copysign_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5064811Z test_nnc_correctness_copysign_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5065249Z test_nnc_correctness_copysign_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5065683Z test_nnc_correctness_copysign_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5066114Z test_nnc_correctness_copysign_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5066523Z test_nnc_correctness_copysign_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5066951Z test_nnc_correctness_copysign_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5067379Z test_nnc_correctness_copysign_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5067819Z test_nnc_correctness_corrcoef_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5068318Z test_nnc_correctness_corrcoef_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5068765Z test_nnc_correctness_corrcoef_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5069202Z test_nnc_correctness_corrcoef_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5069637Z test_nnc_correctness_corrcoef_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5070057Z test_nnc_correctness_corrcoef_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5070494Z test_nnc_correctness_corrcoef_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5070961Z test_nnc_correctness_corrcoef_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5071393Z test_nnc_correctness_corrcoef_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5071812Z test_nnc_correctness_corrcoef_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5072232Z test_nnc_correctness_cos_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5072702Z test_nnc_correctness_cos_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5073128Z test_nnc_correctness_cos_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5073558Z test_nnc_correctness_cos_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5073971Z test_nnc_correctness_cos_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5074390Z test_nnc_correctness_cos_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5074814Z test_nnc_correctness_cos_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5075234Z test_nnc_correctness_cos_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5075642Z test_nnc_correctness_cos_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5076064Z test_nnc_correctness_cos_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5076492Z test_nnc_correctness_cos_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5076922Z test_nnc_correctness_cosh_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5077332Z test_nnc_correctness_cosh_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5077758Z test_nnc_correctness_cosh_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5078196Z test_nnc_correctness_cosh_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5078623Z test_nnc_correctness_cosh_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5079031Z test_nnc_correctness_cosh_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5079454Z test_nnc_correctness_cosh_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5079879Z test_nnc_correctness_cosh_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5080300Z test_nnc_correctness_cosh_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5080737Z test_nnc_correctness_cosh_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5081158Z test_nnc_correctness_cosh_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5081589Z test_nnc_correctness_count_nonzero_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5082032Z test_nnc_correctness_count_nonzero_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5082504Z test_nnc_correctness_count_nonzero_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5082943Z test_nnc_correctness_count_nonzero_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5083389Z test_nnc_correctness_count_nonzero_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5083831Z test_nnc_correctness_count_nonzero_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5084265Z test_nnc_correctness_count_nonzero_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5084686Z test_nnc_correctness_count_nonzero_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5085124Z test_nnc_correctness_count_nonzero_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5085565Z test_nnc_correctness_count_nonzero_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5085997Z test_nnc_correctness_count_nonzero_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5086419Z test_nnc_correctness_count_nonzero_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5086850Z test_nnc_correctness_cov_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5087279Z test_nnc_correctness_cov_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5087705Z test_nnc_correctness_cov_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5088136Z test_nnc_correctness_cov_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5088545Z test_nnc_correctness_cov_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5088967Z test_nnc_correctness_cov_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5089387Z test_nnc_correctness_cov_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5089813Z test_nnc_correctness_cov_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5090257Z test_nnc_correctness_cov_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5090677Z test_nnc_correctness_cov_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5091105Z test_nnc_correctness_cross_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5091542Z test_nnc_correctness_cross_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5091965Z test_nnc_correctness_cross_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5092431Z test_nnc_correctness_cross_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5092861Z test_nnc_correctness_cross_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5093288Z test_nnc_correctness_cross_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5093702Z test_nnc_correctness_cross_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5094123Z test_nnc_correctness_cross_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5094549Z test_nnc_correctness_cross_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5094977Z test_nnc_correctness_cross_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5095396Z test_nnc_correctness_cummax_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5095830Z test_nnc_correctness_cummax_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5096260Z test_nnc_correctness_cummax_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5096694Z test_nnc_correctness_cummax_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5097121Z test_nnc_correctness_cummax_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5097539Z test_nnc_correctness_cummax_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5097965Z test_nnc_correctness_cummax_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5098394Z test_nnc_correctness_cummax_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5098986Z test_nnc_correctness_cummax_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5099407Z test_nnc_correctness_cummin_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5099836Z test_nnc_correctness_cummin_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5100265Z test_nnc_correctness_cummin_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5100758Z test_nnc_correctness_cummin_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5101170Z test_nnc_correctness_cummin_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5101591Z test_nnc_correctness_cummin_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5102015Z test_nnc_correctness_cummin_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5102495Z test_nnc_correctness_cummin_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5102910Z test_nnc_correctness_cummin_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5103336Z test_nnc_correctness_cumprod_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5103773Z test_nnc_correctness_cumprod_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5104213Z test_nnc_correctness_cumprod_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5104654Z test_nnc_correctness_cumprod_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5105076Z test_nnc_correctness_cumprod_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5105510Z test_nnc_correctness_cumprod_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5105942Z test_nnc_correctness_cumprod_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5106369Z test_nnc_correctness_cumprod_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5106783Z test_nnc_correctness_cumprod_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5107209Z test_nnc_correctness_cumprod_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5107635Z test_nnc_correctness_cumsum_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5108066Z test_nnc_correctness_cumsum_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5108557Z test_nnc_correctness_cumsum_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5108992Z test_nnc_correctness_cumsum_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5109416Z test_nnc_correctness_cumsum_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5109840Z test_nnc_correctness_cumsum_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5110283Z test_nnc_correctness_cumsum_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5110706Z test_nnc_correctness_cumsum_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5111138Z test_nnc_correctness_cumsum_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5111558Z test_nnc_correctness_cumsum_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5112000Z test_nnc_correctness_cumulative_trapezoid_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5112495Z test_nnc_correctness_cumulative_trapezoid_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5112970Z test_nnc_correctness_cumulative_trapezoid_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5113437Z test_nnc_correctness_cumulative_trapezoid_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5113893Z test_nnc_correctness_cumulative_trapezoid_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5114340Z test_nnc_correctness_cumulative_trapezoid_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5114794Z test_nnc_correctness_cumulative_trapezoid_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5115252Z test_nnc_correctness_cumulative_trapezoid_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5115710Z test_nnc_correctness_cumulative_trapezoid_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5116161Z test_nnc_correctness_cumulative_trapezoid_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5116595Z test_nnc_correctness_deg2rad_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5117025Z test_nnc_correctness_deg2rad_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5117455Z test_nnc_correctness_deg2rad_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5117887Z test_nnc_correctness_deg2rad_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5118306Z test_nnc_correctness_deg2rad_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5118737Z test_nnc_correctness_deg2rad_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5119162Z test_nnc_correctness_deg2rad_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5119585Z test_nnc_correctness_deg2rad_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5119995Z test_nnc_correctness_deg2rad_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5120454Z test_nnc_correctness_deg2rad_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5120883Z test_nnc_correctness_diag_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5121306Z test_nnc_correctness_diag_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5121723Z test_nnc_correctness_diag_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5122220Z test_nnc_correctness_diag_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5122651Z test_nnc_correctness_diag_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5123071Z test_nnc_correctness_diag_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5123485Z test_nnc_correctness_diag_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5123905Z test_nnc_correctness_diag_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5124332Z test_nnc_correctness_diag_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5124760Z test_nnc_correctness_diag_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5125183Z test_nnc_correctness_diag_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5125593Z test_nnc_correctness_diag_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5126029Z test_nnc_correctness_diag_embed_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5126464Z test_nnc_correctness_diag_embed_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5126901Z test_nnc_correctness_diag_embed_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5127339Z test_nnc_correctness_diag_embed_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5127784Z test_nnc_correctness_diag_embed_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5128225Z test_nnc_correctness_diag_embed_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5128663Z test_nnc_correctness_diag_embed_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5128877Z test_nnc_correctness_diag_embed_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5129092Z test_nnc_correctness_diag_embed_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5129321Z test_nnc_correctness_diag_embed_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5129532Z test_nnc_correctness_diag_embed_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5129740Z test_nnc_correctness_diag_embed_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5129952Z test_nnc_correctness_diag_embed_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5130167Z test_nnc_correctness_diagflat_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5130404Z test_nnc_correctness_diagflat_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5130623Z test_nnc_correctness_diagflat_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5130838Z test_nnc_correctness_diagflat_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5131048Z test_nnc_correctness_diagflat_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5131257Z test_nnc_correctness_diagflat_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5131470Z test_nnc_correctness_diagflat_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5131666Z test_nnc_correctness_diagflat_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5131869Z test_nnc_correctness_diagflat_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5132066Z test_nnc_correctness_diagflat_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5132273Z test_nnc_correctness_diagflat_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5132482Z test_nnc_correctness_diagflat_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5132699Z test_nnc_correctness_diagonal_copy_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5132913Z test_nnc_correctness_diagonal_copy_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5133134Z test_nnc_correctness_diagonal_copy_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5133351Z test_nnc_correctness_diagonal_copy_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5133569Z test_nnc_correctness_diagonal_copy_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5133786Z test_nnc_correctness_diagonal_copy_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5133995Z test_nnc_correctness_diagonal_copy_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5134243Z test_nnc_correctness_diagonal_copy_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5134459Z test_nnc_correctness_diagonal_copy_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5134671Z test_nnc_correctness_diagonal_copy_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5134883Z test_nnc_correctness_diagonal_copy_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5135122Z test_nnc_correctness_diagonal_copy_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5135334Z test_nnc_correctness_diagonal_copy_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5135547Z test_nnc_correctness_diagonal_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5135754Z test_nnc_correctness_diagonal_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5135967Z test_nnc_correctness_diagonal_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5136180Z test_nnc_correctness_diagonal_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5136390Z test_nnc_correctness_diagonal_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5136595Z test_nnc_correctness_diagonal_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5136806Z test_nnc_correctness_diagonal_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5137012Z test_nnc_correctness_diagonal_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5137220Z test_nnc_correctness_diagonal_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5137425Z test_nnc_correctness_diagonal_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5137623Z test_nnc_correctness_diagonal_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5137831Z test_nnc_correctness_diagonal_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5138037Z test_nnc_correctness_diagonal_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5138259Z test_nnc_correctness_diagonal_scatter_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5138475Z test_nnc_correctness_diagonal_scatter_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5138696Z test_nnc_correctness_diagonal_scatter_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5139108Z test_nnc_correctness_diagonal_scatter_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5139337Z test_nnc_correctness_diagonal_scatter_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5139553Z test_nnc_correctness_diagonal_scatter_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5139770Z test_nnc_correctness_diagonal_scatter_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5139991Z test_nnc_correctness_diagonal_scatter_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5140251Z test_nnc_correctness_diagonal_scatter_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5140468Z test_nnc_correctness_diagonal_scatter_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5140678Z test_nnc_correctness_diff_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5140882Z test_nnc_correctness_diff_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5141095Z test_nnc_correctness_diff_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5141306Z test_nnc_correctness_diff_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5141513Z test_nnc_correctness_diff_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5141703Z test_nnc_correctness_diff_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5141900Z test_nnc_correctness_diff_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5142104Z test_nnc_correctness_diff_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5142309Z test_nnc_correctness_diff_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5142515Z test_nnc_correctness_diff_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5142719Z test_nnc_correctness_diff_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5142921Z test_nnc_correctness_diff_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5143131Z test_nnc_correctness_digamma_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5143341Z test_nnc_correctness_digamma_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5143550Z test_nnc_correctness_digamma_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5143755Z test_nnc_correctness_digamma_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5143982Z test_nnc_correctness_digamma_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5144185Z test_nnc_correctness_digamma_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5144382Z test_nnc_correctness_digamma_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5144583Z test_nnc_correctness_digamma_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5144790Z test_nnc_correctness_digamma_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5145021Z test_nnc_correctness_dist_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5145228Z test_nnc_correctness_dist_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5145436Z test_nnc_correctness_dist_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5145642Z test_nnc_correctness_dist_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5145843Z test_nnc_correctness_dist_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5146050Z test_nnc_correctness_dist_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5146260Z test_nnc_correctness_div_floor_rounding_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5146480Z test_nnc_correctness_div_floor_rounding_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5146698Z test_nnc_correctness_div_floor_rounding_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5146918Z test_nnc_correctness_div_floor_rounding_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5147136Z test_nnc_correctness_div_floor_rounding_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5147354Z test_nnc_correctness_div_floor_rounding_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5147576Z test_nnc_correctness_div_floor_rounding_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5147791Z test_nnc_correctness_div_floor_rounding_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5148007Z test_nnc_correctness_div_floor_rounding_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5148294Z test_nnc_correctness_div_no_rounding_mode_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5148518Z test_nnc_correctness_div_no_rounding_mode_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5148783Z test_nnc_correctness_div_no_rounding_mode_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5148999Z test_nnc_correctness_div_no_rounding_mode_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5149221Z test_nnc_correctness_div_no_rounding_mode_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5149444Z test_nnc_correctness_div_no_rounding_mode_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5149700Z test_nnc_correctness_div_no_rounding_mode_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5149916Z test_nnc_correctness_div_no_rounding_mode_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5150137Z test_nnc_correctness_div_no_rounding_mode_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5150360Z test_nnc_correctness_div_no_rounding_mode_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5150577Z test_nnc_correctness_div_no_rounding_mode_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5150792Z test_nnc_correctness_div_no_rounding_mode_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5151016Z test_nnc_correctness_div_trunc_rounding_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5151236Z test_nnc_correctness_div_trunc_rounding_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5151455Z test_nnc_correctness_div_trunc_rounding_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5151660Z test_nnc_correctness_div_trunc_rounding_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5151876Z test_nnc_correctness_div_trunc_rounding_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5152096Z test_nnc_correctness_div_trunc_rounding_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5152315Z test_nnc_correctness_div_trunc_rounding_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5152531Z test_nnc_correctness_div_trunc_rounding_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5152746Z test_nnc_correctness_div_trunc_rounding_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5152954Z test_nnc_correctness_dot_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5153168Z test_nnc_correctness_dot_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5153380Z test_nnc_correctness_dot_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5153623Z test_nnc_correctness_dot_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5153830Z test_nnc_correctness_dot_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5154037Z test_nnc_correctness_dot_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5154231Z test_nnc_correctness_dot_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5154465Z test_nnc_correctness_dot_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5154671Z test_nnc_correctness_dot_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5154875Z test_nnc_correctness_dot_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5155091Z test_nnc_correctness_double_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5155297Z test_nnc_correctness_double_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5155512Z test_nnc_correctness_double_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5155726Z test_nnc_correctness_double_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5155939Z test_nnc_correctness_double_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5156153Z test_nnc_correctness_double_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5156362Z test_nnc_correctness_double_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5156554Z test_nnc_correctness_double_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5156762Z test_nnc_correctness_double_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5156964Z test_nnc_correctness_double_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5157174Z test_nnc_correctness_double_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5157380Z test_nnc_correctness_double_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5157582Z test_nnc_correctness_double_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5157794Z test_nnc_correctness_dsplit_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5157999Z test_nnc_correctness_dsplit_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5158214Z test_nnc_correctness_dsplit_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5158463Z test_nnc_correctness_dsplit_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5158672Z test_nnc_correctness_dsplit_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5158869Z test_nnc_correctness_dsplit_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5159074Z test_nnc_correctness_dsplit_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5159306Z test_nnc_correctness_dsplit_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5159511Z test_nnc_correctness_dsplit_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5159713Z test_nnc_correctness_dsplit_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5159909Z test_nnc_correctness_dsplit_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5160116Z test_nnc_correctness_dsplit_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5160321Z test_nnc_correctness_dsplit_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5160533Z test_nnc_correctness_dstack_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5160736Z test_nnc_correctness_dstack_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5160952Z test_nnc_correctness_dstack_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5161149Z test_nnc_correctness_dstack_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5161365Z test_nnc_correctness_dstack_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5161571Z test_nnc_correctness_dstack_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5161780Z test_nnc_correctness_dstack_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5161985Z test_nnc_correctness_dstack_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5162187Z test_nnc_correctness_dstack_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5162388Z test_nnc_correctness_dstack_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5162592Z test_nnc_correctness_dstack_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5162796Z test_nnc_correctness_dstack_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5162999Z test_nnc_correctness_dstack_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5163245Z test_nnc_correctness_einsum_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5163461Z test_nnc_correctness_einsum_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5163661Z test_nnc_correctness_einsum_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5163865Z test_nnc_correctness_einsum_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5164098Z test_nnc_correctness_einsum_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5164300Z test_nnc_correctness_einsum_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5164502Z test_nnc_correctness_einsum_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5164698Z test_nnc_correctness_einsum_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5164902Z test_nnc_correctness_einsum_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5165107Z test_nnc_correctness_einsum_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5165272Z test_nnc_correctness_empty_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5165432Z test_nnc_correctness_empty_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5165588Z test_nnc_correctness_empty_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5165752Z test_nnc_correctness_empty_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5165915Z test_nnc_correctness_empty_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5166080Z test_nnc_correctness_empty_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5166242Z test_nnc_correctness_empty_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5166402Z test_nnc_correctness_empty_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5166560Z test_nnc_correctness_empty_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5166717Z test_nnc_correctness_empty_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5166874Z test_nnc_correctness_empty_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5167018Z test_nnc_correctness_empty_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5167172Z test_nnc_correctness_empty_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5167341Z test_nnc_correctness_empty_like_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5167501Z test_nnc_correctness_empty_like_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5167671Z test_nnc_correctness_empty_like_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5167840Z test_nnc_correctness_empty_like_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5168007Z test_nnc_correctness_empty_like_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5168203Z test_nnc_correctness_empty_like_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5168365Z test_nnc_correctness_empty_like_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5168512Z test_nnc_correctness_empty_like_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5168672Z test_nnc_correctness_empty_like_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5168829Z test_nnc_correctness_empty_like_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5168985Z test_nnc_correctness_empty_like_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5169175Z test_nnc_correctness_empty_like_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5169332Z test_nnc_correctness_empty_like_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5169542Z test_nnc_correctness_eq_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5169744Z test_nnc_correctness_eq_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5169956Z test_nnc_correctness_eq_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5170152Z test_nnc_correctness_eq_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5170364Z test_nnc_correctness_eq_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5170568Z test_nnc_correctness_eq_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5170773Z test_nnc_correctness_eq_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5170977Z test_nnc_correctness_eq_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5171178Z test_nnc_correctness_eq_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5171378Z test_nnc_correctness_eq_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5171580Z test_nnc_correctness_eq_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5171779Z test_nnc_correctness_eq_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5171978Z test_nnc_correctness_eq_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5172186Z test_nnc_correctness_equal_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5172376Z test_nnc_correctness_equal_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5172592Z test_nnc_correctness_equal_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5172802Z test_nnc_correctness_equal_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5173013Z test_nnc_correctness_equal_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5173244Z test_nnc_correctness_equal_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5173443Z test_nnc_correctness_equal_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5173648Z test_nnc_correctness_equal_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5173846Z test_nnc_correctness_equal_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5174074Z test_nnc_correctness_equal_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5174278Z test_nnc_correctness_equal_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5174481Z test_nnc_correctness_equal_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5174673Z test_nnc_correctness_erf_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5174870Z test_nnc_correctness_erf_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5175075Z test_nnc_correctness_erf_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5175278Z test_nnc_correctness_erf_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5175483Z test_nnc_correctness_erf_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5175688Z test_nnc_correctness_erf_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5175892Z test_nnc_correctness_erf_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5176091Z test_nnc_correctness_erf_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5176292Z test_nnc_correctness_erf_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5176501Z test_nnc_correctness_erfc_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5176704Z test_nnc_correctness_erfc_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5176899Z test_nnc_correctness_erfc_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5177102Z test_nnc_correctness_erfc_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5177301Z test_nnc_correctness_erfc_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5177509Z test_nnc_correctness_erfc_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5177713Z test_nnc_correctness_erfc_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5177947Z test_nnc_correctness_erfc_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5178152Z test_nnc_correctness_erfc_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5178363Z test_nnc_correctness_erfinv_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5178566Z test_nnc_correctness_erfinv_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5178946Z test_nnc_correctness_erfinv_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5179153Z test_nnc_correctness_erfinv_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5179359Z test_nnc_correctness_erfinv_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5179552Z test_nnc_correctness_erfinv_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5179753Z test_nnc_correctness_erfinv_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5179958Z test_nnc_correctness_erfinv_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5180161Z test_nnc_correctness_erfinv_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5180372Z test_nnc_correctness_exp2_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5180575Z test_nnc_correctness_exp2_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5180783Z test_nnc_correctness_exp2_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5180984Z test_nnc_correctness_exp2_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5181184Z test_nnc_correctness_exp2_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5181392Z test_nnc_correctness_exp2_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5181594Z test_nnc_correctness_exp2_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5181785Z test_nnc_correctness_exp2_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5181988Z test_nnc_correctness_exp2_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5182189Z test_nnc_correctness_exp2_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5182394Z test_nnc_correctness_exp_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5182598Z test_nnc_correctness_exp_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5182866Z test_nnc_correctness_exp_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5183074Z test_nnc_correctness_exp_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5183281Z test_nnc_correctness_exp_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5183490Z test_nnc_correctness_exp_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5183691Z test_nnc_correctness_exp_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5183945Z test_nnc_correctness_exp_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5184137Z test_nnc_correctness_exp_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5184339Z test_nnc_correctness_exp_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5184542Z test_nnc_correctness_exp_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5184756Z test_nnc_correctness_expand_as_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5184969Z test_nnc_correctness_expand_as_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5185186Z test_nnc_correctness_expand_as_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5185402Z test_nnc_correctness_expand_as_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5185614Z test_nnc_correctness_expand_as_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5185820Z test_nnc_correctness_expand_as_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5186031Z test_nnc_correctness_expand_as_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5186241Z test_nnc_correctness_expand_as_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5186434Z test_nnc_correctness_expand_as_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5186646Z test_nnc_correctness_expand_as_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5186853Z test_nnc_correctness_expand_as_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5187060Z test_nnc_correctness_expand_as_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5187269Z test_nnc_correctness_expand_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5187477Z test_nnc_correctness_expand_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5187715Z test_nnc_correctness_expand_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5187931Z test_nnc_correctness_expand_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5188210Z test_nnc_correctness_expand_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5188423Z test_nnc_correctness_expand_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5188661Z test_nnc_correctness_expand_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5188858Z test_nnc_correctness_expand_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5189065Z test_nnc_correctness_expand_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5189277Z test_nnc_correctness_expand_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5189486Z test_nnc_correctness_expand_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5189690Z test_nnc_correctness_expand_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5189900Z test_nnc_correctness_expm1_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5190106Z test_nnc_correctness_expm1_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5190318Z test_nnc_correctness_expm1_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5190522Z test_nnc_correctness_expm1_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5190726Z test_nnc_correctness_expm1_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5190933Z test_nnc_correctness_expm1_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5191124Z test_nnc_correctness_expm1_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5191330Z test_nnc_correctness_expm1_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5191535Z test_nnc_correctness_expm1_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5191741Z test_nnc_correctness_eye_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5191953Z test_nnc_correctness_eye_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5192160Z test_nnc_correctness_eye_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5192376Z test_nnc_correctness_eye_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5192658Z test_nnc_correctness_eye_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5192860Z test_nnc_correctness_eye_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5193062Z test_nnc_correctness_eye_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5193265Z test_nnc_correctness_eye_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5193455Z test_nnc_correctness_eye_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5193686Z test_nnc_correctness_eye_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5193888Z test_nnc_correctness_eye_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5194097Z test_nnc_correctness_fft_fft2_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5194308Z test_nnc_correctness_fft_fft2_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5194522Z test_nnc_correctness_fft_fft2_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5194733Z test_nnc_correctness_fft_fft2_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5194937Z test_nnc_correctness_fft_fft2_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5195143Z test_nnc_correctness_fft_fft2_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5195338Z test_nnc_correctness_fft_fft2_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5195536Z test_nnc_correctness_fft_fft2_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5195742Z test_nnc_correctness_fft_fft2_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5195938Z test_nnc_correctness_fft_fft2_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5196145Z test_nnc_correctness_fft_fft_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5196355Z test_nnc_correctness_fft_fft_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5196566Z test_nnc_correctness_fft_fft_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5196772Z test_nnc_correctness_fft_fft_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5196979Z test_nnc_correctness_fft_fft_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5197184Z test_nnc_correctness_fft_fft_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5197414Z test_nnc_correctness_fft_fft_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5197613Z test_nnc_correctness_fft_fft_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5197814Z test_nnc_correctness_fft_fft_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5198019Z test_nnc_correctness_fft_fft_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5198236Z test_nnc_correctness_fft_fftn_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5198452Z test_nnc_correctness_fft_fftn_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5198666Z test_nnc_correctness_fft_fftn_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5198876Z test_nnc_correctness_fft_fftn_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5199083Z test_nnc_correctness_fft_fftn_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5199286Z test_nnc_correctness_fft_fftn_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5199486Z test_nnc_correctness_fft_fftn_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5199685Z test_nnc_correctness_fft_fftn_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5199892Z test_nnc_correctness_fft_fftn_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5200097Z test_nnc_correctness_fft_fftn_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5200309Z test_nnc_correctness_fft_fftshift_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5200509Z test_nnc_correctness_fft_fftshift_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5200729Z test_nnc_correctness_fft_fftshift_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5200948Z test_nnc_correctness_fft_fftshift_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5201164Z test_nnc_correctness_fft_fftshift_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5201376Z test_nnc_correctness_fft_fftshift_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5201587Z test_nnc_correctness_fft_fftshift_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5201799Z test_nnc_correctness_fft_fftshift_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5202008Z test_nnc_correctness_fft_fftshift_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5202281Z test_nnc_correctness_fft_fftshift_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5202493Z test_nnc_correctness_fft_fftshift_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5202706Z test_nnc_correctness_fft_fftshift_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5202914Z test_nnc_correctness_fft_fftshift_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5203137Z test_nnc_correctness_fft_hfft2_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5203352Z test_nnc_correctness_fft_hfft2_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5203567Z test_nnc_correctness_fft_hfft2_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5203777Z test_nnc_correctness_fft_hfft2_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5203982Z test_nnc_correctness_fft_hfft2_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5204190Z test_nnc_correctness_fft_hfft2_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5204399Z test_nnc_correctness_fft_hfft2_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5204606Z test_nnc_correctness_fft_hfft2_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5204813Z test_nnc_correctness_fft_hfft2_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5205018Z test_nnc_correctness_fft_hfft2_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5205224Z test_nnc_correctness_fft_hfft_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5205429Z test_nnc_correctness_fft_hfft_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5205641Z test_nnc_correctness_fft_hfft_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5205853Z test_nnc_correctness_fft_hfft_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5206061Z test_nnc_correctness_fft_hfft_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5206263Z test_nnc_correctness_fft_hfft_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5206469Z test_nnc_correctness_fft_hfft_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5206671Z test_nnc_correctness_fft_hfft_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5206910Z test_nnc_correctness_fft_hfft_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5207112Z test_nnc_correctness_fft_hfft_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5207322Z test_nnc_correctness_fft_hfftn_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5207539Z test_nnc_correctness_fft_hfftn_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5207753Z test_nnc_correctness_fft_hfftn_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5207979Z test_nnc_correctness_fft_hfftn_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5208193Z test_nnc_correctness_fft_hfftn_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5208401Z test_nnc_correctness_fft_hfftn_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5208602Z test_nnc_correctness_fft_hfftn_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5208809Z test_nnc_correctness_fft_hfftn_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5209017Z test_nnc_correctness_fft_hfftn_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5209220Z test_nnc_correctness_fft_hfftn_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5209430Z test_nnc_correctness_fft_ifft2_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5209648Z test_nnc_correctness_fft_ifft2_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5209860Z test_nnc_correctness_fft_ifft2_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5210072Z test_nnc_correctness_fft_ifft2_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5210269Z test_nnc_correctness_fft_ifft2_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5210478Z test_nnc_correctness_fft_ifft2_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5210686Z test_nnc_correctness_fft_ifft2_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5210892Z test_nnc_correctness_fft_ifft2_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5211100Z test_nnc_correctness_fft_ifft2_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5211306Z test_nnc_correctness_fft_ifft2_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5211515Z test_nnc_correctness_fft_ifft_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5211765Z test_nnc_correctness_fft_ifft_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5211981Z test_nnc_correctness_fft_ifft_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5212188Z test_nnc_correctness_fft_ifft_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5212395Z test_nnc_correctness_fft_ifft_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5212617Z test_nnc_correctness_fft_ifft_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5212819Z test_nnc_correctness_fft_ifft_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5213022Z test_nnc_correctness_fft_ifft_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5213231Z test_nnc_correctness_fft_ifft_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5213440Z test_nnc_correctness_fft_ifft_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5213643Z test_nnc_correctness_fft_ifftn_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5213859Z test_nnc_correctness_fft_ifftn_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5214078Z test_nnc_correctness_fft_ifftn_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5214288Z test_nnc_correctness_fft_ifftn_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5214496Z test_nnc_correctness_fft_ifftn_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5214701Z test_nnc_correctness_fft_ifftn_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5214908Z test_nnc_correctness_fft_ifftn_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5215104Z test_nnc_correctness_fft_ifftn_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5215313Z test_nnc_correctness_fft_ifftn_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5215518Z test_nnc_correctness_fft_ifftn_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5215736Z test_nnc_correctness_fft_ifftshift_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5215948Z test_nnc_correctness_fft_ifftshift_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5216173Z test_nnc_correctness_fft_ifftshift_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5216420Z test_nnc_correctness_fft_ifftshift_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5216642Z test_nnc_correctness_fft_ifftshift_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5216860Z test_nnc_correctness_fft_ifftshift_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5217076Z test_nnc_correctness_fft_ifftshift_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5217292Z test_nnc_correctness_fft_ifftshift_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5217532Z test_nnc_correctness_fft_ifftshift_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5217747Z test_nnc_correctness_fft_ifftshift_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5217959Z test_nnc_correctness_fft_ifftshift_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5218173Z test_nnc_correctness_fft_ifftshift_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5218384Z test_nnc_correctness_fft_ifftshift_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5218596Z test_nnc_correctness_fft_ihfft2_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5218968Z test_nnc_correctness_fft_ihfft2_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5219188Z test_nnc_correctness_fft_ihfft2_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5219399Z test_nnc_correctness_fft_ihfft2_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5219608Z test_nnc_correctness_fft_ihfft2_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5219818Z test_nnc_correctness_fft_ihfft2_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5220028Z test_nnc_correctness_fft_ihfft2_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5220227Z test_nnc_correctness_fft_ihfft2_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5220433Z test_nnc_correctness_fft_ihfft_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5220647Z test_nnc_correctness_fft_ihfft_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5220857Z test_nnc_correctness_fft_ihfft_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5221069Z test_nnc_correctness_fft_ihfft_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5221277Z test_nnc_correctness_fft_ihfft_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5221536Z test_nnc_correctness_fft_ihfft_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5221742Z test_nnc_correctness_fft_ihfft_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5221948Z test_nnc_correctness_fft_ihfft_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5222155Z test_nnc_correctness_fft_ihfftn_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5222406Z test_nnc_correctness_fft_ihfftn_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5222600Z test_nnc_correctness_fft_ihfftn_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5222811Z test_nnc_correctness_fft_ihfftn_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5223020Z test_nnc_correctness_fft_ihfftn_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5223224Z test_nnc_correctness_fft_ihfftn_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5223430Z test_nnc_correctness_fft_ihfftn_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5223638Z test_nnc_correctness_fft_ihfftn_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5223844Z test_nnc_correctness_fft_irfft2_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5224063Z test_nnc_correctness_fft_irfft2_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5224276Z test_nnc_correctness_fft_irfft2_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5224485Z test_nnc_correctness_fft_irfft2_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5224693Z test_nnc_correctness_fft_irfft2_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5224899Z test_nnc_correctness_fft_irfft2_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5225092Z test_nnc_correctness_fft_irfft2_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5225298Z test_nnc_correctness_fft_irfft2_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5225502Z test_nnc_correctness_fft_irfft2_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5225706Z test_nnc_correctness_fft_irfft2_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5225912Z test_nnc_correctness_fft_irfft_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5226152Z test_nnc_correctness_fft_irfft_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5226367Z test_nnc_correctness_fft_irfft_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5226580Z test_nnc_correctness_fft_irfft_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5226789Z test_nnc_correctness_fft_irfft_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5226995Z test_nnc_correctness_fft_irfft_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5227231Z test_nnc_correctness_fft_irfft_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5227424Z test_nnc_correctness_fft_irfft_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5227629Z test_nnc_correctness_fft_irfft_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5227830Z test_nnc_correctness_fft_irfft_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5228040Z test_nnc_correctness_fft_irfftn_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5228316Z test_nnc_correctness_fft_irfftn_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5228536Z test_nnc_correctness_fft_irfftn_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5228750Z test_nnc_correctness_fft_irfftn_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5228960Z test_nnc_correctness_fft_irfftn_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5229169Z test_nnc_correctness_fft_irfftn_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5229377Z test_nnc_correctness_fft_irfftn_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5229582Z test_nnc_correctness_fft_irfftn_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5229791Z test_nnc_correctness_fft_irfftn_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5229987Z test_nnc_correctness_fft_irfftn_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5230193Z test_nnc_correctness_fft_rfft2_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5230402Z test_nnc_correctness_fft_rfft2_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5230610Z test_nnc_correctness_fft_rfft2_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5230820Z test_nnc_correctness_fft_rfft2_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5231062Z test_nnc_correctness_fft_rfft2_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5231266Z test_nnc_correctness_fft_rfft2_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5231471Z test_nnc_correctness_fft_rfft2_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5231674Z test_nnc_correctness_fft_rfft2_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5231912Z test_nnc_correctness_fft_rfft_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5232120Z test_nnc_correctness_fft_rfft_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5232312Z test_nnc_correctness_fft_rfft_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5232519Z test_nnc_correctness_fft_rfft_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5232720Z test_nnc_correctness_fft_rfft_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5232916Z test_nnc_correctness_fft_rfft_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5233122Z test_nnc_correctness_fft_rfft_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5233329Z test_nnc_correctness_fft_rfft_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5233533Z test_nnc_correctness_fft_rfftn_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5233739Z test_nnc_correctness_fft_rfftn_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5233941Z test_nnc_correctness_fft_rfftn_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5234148Z test_nnc_correctness_fft_rfftn_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5234353Z test_nnc_correctness_fft_rfftn_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5234544Z test_nnc_correctness_fft_rfftn_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5234753Z test_nnc_correctness_fft_rfftn_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5234958Z test_nnc_correctness_fft_rfftn_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5235122Z test_nnc_correctness_fill_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: No fill_ op (0.001s) 2022-11-23T01:39:02.5235281Z test_nnc_correctness_fill_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: No fill_ op (0.001s) 2022-11-23T01:39:02.5235447Z test_nnc_correctness_fill_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: No fill_ op (0.001s) 2022-11-23T01:39:02.5235611Z test_nnc_correctness_fill_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: No fill_ op (0.001s) 2022-11-23T01:39:02.5235803Z test_nnc_correctness_fill_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: No fill_ op (0.001s) 2022-11-23T01:39:02.5235964Z test_nnc_correctness_fill_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: No fill_ op (0.001s) 2022-11-23T01:39:02.5236124Z test_nnc_correctness_fill_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: No fill_ op (0.001s) 2022-11-23T01:39:02.5236264Z test_nnc_correctness_fill_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: No fill_ op (0.001s) 2022-11-23T01:39:02.5236424Z test_nnc_correctness_fill_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: No fill_ op (0.001s) 2022-11-23T01:39:02.5236580Z test_nnc_correctness_fill_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: No fill_ op (0.001s) 2022-11-23T01:39:02.5236765Z test_nnc_correctness_fill_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: No fill_ op (0.001s) 2022-11-23T01:39:02.5236920Z test_nnc_correctness_fill_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: No fill_ op (0.001s) 2022-11-23T01:39:02.5237080Z test_nnc_correctness_fill_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: No fill_ op (0.001s) 2022-11-23T01:39:02.5237294Z test_nnc_correctness_flatten_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5237503Z test_nnc_correctness_flatten_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5237716Z test_nnc_correctness_flatten_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5237920Z test_nnc_correctness_flatten_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5238132Z test_nnc_correctness_flatten_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5238343Z test_nnc_correctness_flatten_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5238557Z test_nnc_correctness_flatten_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5238761Z test_nnc_correctness_flatten_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5238970Z test_nnc_correctness_flatten_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5239174Z test_nnc_correctness_flatten_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5239370Z test_nnc_correctness_flatten_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5239579Z test_nnc_correctness_flatten_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5239788Z test_nnc_correctness_flatten_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5239991Z test_nnc_correctness_flip_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5240181Z test_nnc_correctness_flip_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5240393Z test_nnc_correctness_flip_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5240633Z test_nnc_correctness_flip_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5240840Z test_nnc_correctness_flip_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5241041Z test_nnc_correctness_flip_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5241248Z test_nnc_correctness_flip_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5241449Z test_nnc_correctness_flip_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5241684Z test_nnc_correctness_flip_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5241889Z test_nnc_correctness_flip_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5242093Z test_nnc_correctness_flip_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5242293Z test_nnc_correctness_flip_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5242493Z test_nnc_correctness_fliplr_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5242698Z test_nnc_correctness_fliplr_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5242912Z test_nnc_correctness_fliplr_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5243125Z test_nnc_correctness_fliplr_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5243333Z test_nnc_correctness_fliplr_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5243544Z test_nnc_correctness_fliplr_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5243743Z test_nnc_correctness_fliplr_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5243949Z test_nnc_correctness_fliplr_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5244149Z test_nnc_correctness_fliplr_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5244360Z test_nnc_correctness_fliplr_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5244564Z test_nnc_correctness_fliplr_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5244766Z test_nnc_correctness_fliplr_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5244964Z test_nnc_correctness_flipud_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5245169Z test_nnc_correctness_flipud_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5245408Z test_nnc_correctness_flipud_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5245621Z test_nnc_correctness_flipud_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5245827Z test_nnc_correctness_flipud_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5246027Z test_nnc_correctness_flipud_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5246224Z test_nnc_correctness_flipud_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5246458Z test_nnc_correctness_flipud_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5246665Z test_nnc_correctness_flipud_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5246866Z test_nnc_correctness_flipud_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5247068Z test_nnc_correctness_flipud_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5247259Z test_nnc_correctness_flipud_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5247466Z test_nnc_correctness_float_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5247672Z test_nnc_correctness_float_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5247889Z test_nnc_correctness_float_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5248099Z test_nnc_correctness_float_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5248305Z test_nnc_correctness_float_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5248515Z test_nnc_correctness_float_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5248722Z test_nnc_correctness_float_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5248923Z test_nnc_correctness_float_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5249130Z test_nnc_correctness_float_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5249330Z test_nnc_correctness_float_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5249515Z test_nnc_correctness_float_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5249717Z test_nnc_correctness_float_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5249926Z test_nnc_correctness_float_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5250186Z test_nnc_correctness_float_power_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5250400Z test_nnc_correctness_float_power_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5250617Z test_nnc_correctness_float_power_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5250834Z test_nnc_correctness_float_power_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5251047Z test_nnc_correctness_float_power_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5251307Z test_nnc_correctness_float_power_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5251519Z test_nnc_correctness_float_power_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5251731Z test_nnc_correctness_float_power_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5251925Z test_nnc_correctness_float_power_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5252140Z test_nnc_correctness_float_power_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5252351Z test_nnc_correctness_float_power_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5252563Z test_nnc_correctness_float_power_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5252773Z test_nnc_correctness_floor_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5252978Z test_nnc_correctness_floor_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5253180Z test_nnc_correctness_floor_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5253383Z test_nnc_correctness_floor_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5253583Z test_nnc_correctness_floor_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5253780Z test_nnc_correctness_floor_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5253980Z test_nnc_correctness_floor_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5254186Z test_nnc_correctness_floor_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5254388Z test_nnc_correctness_floor_divide_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5254602Z test_nnc_correctness_floor_divide_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5254820Z test_nnc_correctness_floor_divide_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5255065Z test_nnc_correctness_floor_divide_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5255279Z test_nnc_correctness_floor_divide_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5255484Z test_nnc_correctness_floor_divide_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5255696Z test_nnc_correctness_floor_divide_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5255936Z test_nnc_correctness_floor_divide_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5256146Z test_nnc_correctness_floor_divide_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5256353Z test_nnc_correctness_fmax_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5256556Z test_nnc_correctness_fmax_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5256751Z test_nnc_correctness_fmax_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5256955Z test_nnc_correctness_fmax_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5257155Z test_nnc_correctness_fmax_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5257360Z test_nnc_correctness_fmax_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5257567Z test_nnc_correctness_fmax_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5257775Z test_nnc_correctness_fmax_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5257975Z test_nnc_correctness_fmax_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5258176Z test_nnc_correctness_fmax_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5258383Z test_nnc_correctness_fmin_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5258588Z test_nnc_correctness_fmin_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5258916Z test_nnc_correctness_fmin_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5259105Z test_nnc_correctness_fmin_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s) 2022-11-23T01:39:02.5259300Z test_nnc_correctness_fmin_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5259502Z test_nnc_correctness_fmin_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5259705Z test_nnc_correctness_fmin_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5259955Z test_nnc_correctness_fmin_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5260158Z test_nnc_correctness_fmin_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5260356Z test_nnc_correctness_fmin_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5260565Z test_nnc_correctness_fmod_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5260770Z test_nnc_correctness_fmod_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5261013Z test_nnc_correctness_fmod_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5261218Z test_nnc_correctness_fmod_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5261409Z test_nnc_correctness_fmod_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5261617Z test_nnc_correctness_fmod_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5261820Z test_nnc_correctness_fmod_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5262023Z test_nnc_correctness_fmod_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5262224Z test_nnc_correctness_fmod_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5262434Z test_nnc_correctness_frac_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5262636Z test_nnc_correctness_frac_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5262838Z test_nnc_correctness_frac_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5263035Z test_nnc_correctness_frac_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5263246Z test_nnc_correctness_frexp_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5263451Z test_nnc_correctness_frexp_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5263649Z test_nnc_correctness_frexp_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5263851Z test_nnc_correctness_frexp_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5264053Z test_nnc_correctness_full_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5264256Z test_nnc_correctness_full_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5264468Z test_nnc_correctness_full_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5264721Z test_nnc_correctness_full_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5264929Z test_nnc_correctness_full_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5265139Z test_nnc_correctness_full_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5265347Z test_nnc_correctness_full_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5265548Z test_nnc_correctness_full_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5265781Z test_nnc_correctness_full_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5265974Z test_nnc_correctness_full_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5266174Z test_nnc_correctness_full_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5266376Z test_nnc_correctness_full_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5266577Z test_nnc_correctness_full_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5266786Z test_nnc_correctness_full_like_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5266996Z test_nnc_correctness_full_like_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5267213Z test_nnc_correctness_full_like_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5267426Z test_nnc_correctness_full_like_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5267638Z test_nnc_correctness_full_like_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5267850Z test_nnc_correctness_full_like_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5268063Z test_nnc_correctness_full_like_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5268346Z test_nnc_correctness_full_like_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5268546Z test_nnc_correctness_full_like_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5268756Z test_nnc_correctness_full_like_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5268964Z test_nnc_correctness_full_like_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5269171Z test_nnc_correctness_full_like_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5269385Z test_nnc_correctness_gather_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5269632Z test_nnc_correctness_gather_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5269845Z test_nnc_correctness_gather_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5270059Z test_nnc_correctness_gather_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5270270Z test_nnc_correctness_gather_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5270472Z test_nnc_correctness_gather_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5270704Z test_nnc_correctness_gather_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5270901Z test_nnc_correctness_gather_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5271107Z test_nnc_correctness_gather_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5271312Z test_nnc_correctness_gather_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5271518Z test_nnc_correctness_gather_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5271723Z test_nnc_correctness_gather_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5271930Z test_nnc_correctness_gcd_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5272139Z test_nnc_correctness_gcd_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5272343Z test_nnc_correctness_gcd_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5272547Z test_nnc_correctness_gcd_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5272748Z test_nnc_correctness_gcd_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5272961Z test_nnc_correctness_ge_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5273153Z test_nnc_correctness_ge_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5273362Z test_nnc_correctness_ge_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5273567Z test_nnc_correctness_ge_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5273773Z test_nnc_correctness_ge_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5273975Z test_nnc_correctness_ge_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5274181Z test_nnc_correctness_ge_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5274387Z test_nnc_correctness_ge_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5274615Z test_nnc_correctness_ge_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5274817Z test_nnc_correctness_ge_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5275030Z test_nnc_correctness_geqrf_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5275242Z test_nnc_correctness_geqrf_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5275501Z test_nnc_correctness_geqrf_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5275710Z test_nnc_correctness_geqrf_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5275881Z test_nnc_correctness_gradient_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5276058Z test_nnc_correctness_gradient_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5276228Z test_nnc_correctness_gradient_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5276394Z test_nnc_correctness_gradient_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5276556Z test_nnc_correctness_gradient_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5276719Z test_nnc_correctness_gradient_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5276881Z test_nnc_correctness_gradient_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5277033Z test_nnc_correctness_gradient_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5279866Z test_nnc_correctness_gradient_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5280029Z test_nnc_correctness_gradient_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5280253Z test_nnc_correctness_grid_sampler_2d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5280477Z test_nnc_correctness_grid_sampler_2d_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5280685Z test_nnc_correctness_gt_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5280888Z test_nnc_correctness_gt_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5281096Z test_nnc_correctness_gt_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5281299Z test_nnc_correctness_gt_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5281501Z test_nnc_correctness_gt_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5281703Z test_nnc_correctness_gt_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5281895Z test_nnc_correctness_gt_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5282138Z test_nnc_correctness_gt_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5282343Z test_nnc_correctness_gt_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5282543Z test_nnc_correctness_gt_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5282752Z test_nnc_correctness_half_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5282955Z test_nnc_correctness_half_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5283204Z test_nnc_correctness_half_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5283419Z test_nnc_correctness_half_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5283625Z test_nnc_correctness_half_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5283826Z test_nnc_correctness_half_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5284033Z test_nnc_correctness_half_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5284223Z test_nnc_correctness_half_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5284428Z test_nnc_correctness_half_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5284633Z test_nnc_correctness_half_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5284835Z test_nnc_correctness_half_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5285038Z test_nnc_correctness_half_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5285256Z test_nnc_correctness_heaviside_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5285472Z test_nnc_correctness_heaviside_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5285688Z test_nnc_correctness_heaviside_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5285905Z test_nnc_correctness_heaviside_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5286118Z test_nnc_correctness_heaviside_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5286327Z test_nnc_correctness_heaviside_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5286538Z test_nnc_correctness_heaviside_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5286738Z test_nnc_correctness_heaviside_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5286974Z test_nnc_correctness_heaviside_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5287185Z test_nnc_correctness_heaviside_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5287393Z test_nnc_correctness_histc_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5287601Z test_nnc_correctness_histc_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5287809Z test_nnc_correctness_histc_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5288062Z test_nnc_correctness_histogram_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5288277Z test_nnc_correctness_histogram_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5288493Z test_nnc_correctness_histogramdd_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5288709Z test_nnc_correctness_histogramdd_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5288919Z test_nnc_correctness_hsplit_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5289116Z test_nnc_correctness_hsplit_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5289328Z test_nnc_correctness_hsplit_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5289543Z test_nnc_correctness_hsplit_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5289750Z test_nnc_correctness_hsplit_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5289960Z test_nnc_correctness_hsplit_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5290163Z test_nnc_correctness_hsplit_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5290362Z test_nnc_correctness_hsplit_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5290569Z test_nnc_correctness_hsplit_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5290768Z test_nnc_correctness_hsplit_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5290964Z test_nnc_correctness_hsplit_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5291166Z test_nnc_correctness_hsplit_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5291358Z test_nnc_correctness_hsplit_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5291569Z test_nnc_correctness_hstack_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5291820Z test_nnc_correctness_hstack_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5292033Z test_nnc_correctness_hstack_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5292247Z test_nnc_correctness_hstack_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5292459Z test_nnc_correctness_hstack_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5292665Z test_nnc_correctness_hstack_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5292894Z test_nnc_correctness_hstack_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5293094Z test_nnc_correctness_hstack_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5293298Z test_nnc_correctness_hstack_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5293504Z test_nnc_correctness_hstack_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5293695Z test_nnc_correctness_hstack_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5293900Z test_nnc_correctness_hstack_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5294099Z test_nnc_correctness_hstack_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5294310Z test_nnc_correctness_hypot_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5294516Z test_nnc_correctness_hypot_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5294719Z test_nnc_correctness_hypot_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5294924Z test_nnc_correctness_i0_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5295129Z test_nnc_correctness_i0_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5295332Z test_nnc_correctness_i0_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5295537Z test_nnc_correctness_i0_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5295736Z test_nnc_correctness_i0_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5295924Z test_nnc_correctness_i0_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5296125Z test_nnc_correctness_i0_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5296326Z test_nnc_correctness_i0_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5296556Z test_nnc_correctness_i0_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5296768Z test_nnc_correctness_igamma_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5296974Z test_nnc_correctness_igamma_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5297177Z test_nnc_correctness_igamma_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5297375Z test_nnc_correctness_igamma_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5297615Z test_nnc_correctness_igammac_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5297825Z test_nnc_correctness_igammac_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5298035Z test_nnc_correctness_igammac_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5298239Z test_nnc_correctness_igammac_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5298441Z test_nnc_correctness_imag_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5298652Z test_nnc_correctness_imag_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5298991Z test_nnc_correctness_imag_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5299210Z test_nnc_correctness_index_add_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5299421Z test_nnc_correctness_index_add_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5299639Z test_nnc_correctness_index_add_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5299856Z test_nnc_correctness_index_add_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5300075Z test_nnc_correctness_index_add_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5300291Z test_nnc_correctness_index_add_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5300496Z test_nnc_correctness_index_add_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5300709Z test_nnc_correctness_index_add_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5300905Z test_nnc_correctness_index_add_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5301108Z test_nnc_correctness_index_add_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5301320Z test_nnc_correctness_index_add_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5301574Z test_nnc_correctness_index_add_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5301784Z test_nnc_correctness_index_add_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5301997Z test_nnc_correctness_index_copy_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5302203Z test_nnc_correctness_index_copy_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5302458Z test_nnc_correctness_index_copy_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5302675Z test_nnc_correctness_index_copy_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5302888Z test_nnc_correctness_index_copy_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5303093Z test_nnc_correctness_index_copy_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5303309Z test_nnc_correctness_index_copy_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5303505Z test_nnc_correctness_index_copy_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5303720Z test_nnc_correctness_index_copy_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5303927Z test_nnc_correctness_index_copy_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5304136Z test_nnc_correctness_index_copy_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5304348Z test_nnc_correctness_index_copy_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5304560Z test_nnc_correctness_index_fill_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5304768Z test_nnc_correctness_index_fill_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5304986Z test_nnc_correctness_index_fill_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5305206Z test_nnc_correctness_index_fill_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5305416Z test_nnc_correctness_index_fill_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5305622Z test_nnc_correctness_index_fill_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5305821Z test_nnc_correctness_index_fill_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5306033Z test_nnc_correctness_index_fill_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5306238Z test_nnc_correctness_index_fill_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5306475Z test_nnc_correctness_index_fill_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5306684Z test_nnc_correctness_index_fill_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5306889Z test_nnc_correctness_index_fill_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5307100Z test_nnc_correctness_index_put_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5307339Z test_nnc_correctness_index_put_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5307557Z test_nnc_correctness_index_put_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5307773Z test_nnc_correctness_index_put_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5307987Z test_nnc_correctness_index_put_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5308252Z test_nnc_correctness_index_put_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5308470Z test_nnc_correctness_index_put_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5308685Z test_nnc_correctness_index_put_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5308892Z test_nnc_correctness_index_put_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5309101Z test_nnc_correctness_index_put_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5309309Z test_nnc_correctness_index_put_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5309514Z test_nnc_correctness_index_put_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5309721Z test_nnc_correctness_index_put_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5309944Z test_nnc_correctness_index_reduce_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5310165Z test_nnc_correctness_index_reduce_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5310380Z test_nnc_correctness_index_reduce_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5310592Z test_nnc_correctness_index_reduce_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5310792Z test_nnc_correctness_index_reduce_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5311007Z test_nnc_correctness_index_reduce_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5311256Z test_nnc_correctness_index_reduce_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5311470Z test_nnc_correctness_index_reduce_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5311681Z test_nnc_correctness_index_reduce_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5311898Z test_nnc_correctness_index_select_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5312143Z test_nnc_correctness_index_select_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5312364Z test_nnc_correctness_index_select_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5312584Z test_nnc_correctness_index_select_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5312799Z test_nnc_correctness_index_select_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5313012Z test_nnc_correctness_index_select_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5313225Z test_nnc_correctness_index_select_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5313431Z test_nnc_correctness_index_select_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5313643Z test_nnc_correctness_index_select_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5313851Z test_nnc_correctness_index_select_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5314055Z test_nnc_correctness_index_select_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5314266Z test_nnc_correctness_index_select_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5314478Z test_nnc_correctness_index_select_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5314687Z test_nnc_correctness_inner_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5314900Z test_nnc_correctness_inner_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5315112Z test_nnc_correctness_inner_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5315319Z test_nnc_correctness_inner_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5315521Z test_nnc_correctness_inner_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5315717Z test_nnc_correctness_inner_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5315917Z test_nnc_correctness_inner_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5316149Z test_nnc_correctness_inner_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5316354Z test_nnc_correctness_inner_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5316562Z test_nnc_correctness_inner_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5316772Z test_nnc_correctness_int_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5317007Z test_nnc_correctness_int_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5317217Z test_nnc_correctness_int_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5317424Z test_nnc_correctness_int_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5317625Z test_nnc_correctness_int_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5317830Z test_nnc_correctness_int_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5318015Z test_nnc_correctness_int_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5318219Z test_nnc_correctness_int_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5318424Z test_nnc_correctness_int_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5318627Z test_nnc_correctness_int_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5318828Z test_nnc_correctness_int_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5319032Z test_nnc_correctness_int_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5319243Z test_nnc_correctness_isclose_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5319452Z test_nnc_correctness_isclose_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5319666Z test_nnc_correctness_isclose_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5319882Z test_nnc_correctness_isclose_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5320091Z test_nnc_correctness_isclose_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5320291Z test_nnc_correctness_isclose_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5320502Z test_nnc_correctness_isclose_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5320709Z test_nnc_correctness_isclose_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5320942Z test_nnc_correctness_isclose_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5321142Z test_nnc_correctness_isclose_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5321348Z test_nnc_correctness_isclose_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5321553Z test_nnc_correctness_isclose_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5321805Z test_nnc_correctness_isfinite_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5322009Z test_nnc_correctness_isfinite_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5322225Z test_nnc_correctness_isfinite_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5322437Z test_nnc_correctness_isfinite_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5322641Z test_nnc_correctness_isfinite_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5322852Z test_nnc_correctness_isfinite_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5323058Z test_nnc_correctness_isfinite_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5323272Z test_nnc_correctness_isfinite_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5323480Z test_nnc_correctness_isfinite_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5323686Z test_nnc_correctness_isfinite_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5323887Z test_nnc_correctness_isfinite_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5324093Z test_nnc_correctness_isfinite_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5324295Z test_nnc_correctness_isfinite_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5324503Z test_nnc_correctness_isin_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5324705Z test_nnc_correctness_isin_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5324909Z test_nnc_correctness_isin_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5325101Z test_nnc_correctness_isin_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5325307Z test_nnc_correctness_isin_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5325509Z test_nnc_correctness_isin_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5325737Z test_nnc_correctness_isin_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5325946Z test_nnc_correctness_isinf_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5326148Z test_nnc_correctness_isinf_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5326360Z test_nnc_correctness_isinf_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5326603Z test_nnc_correctness_isinf_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5326815Z test_nnc_correctness_isinf_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5327022Z test_nnc_correctness_isinf_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5327224Z test_nnc_correctness_isinf_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5327410Z test_nnc_correctness_isinf_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5327616Z test_nnc_correctness_isinf_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5327824Z test_nnc_correctness_isinf_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5328028Z test_nnc_correctness_isinf_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5328233Z test_nnc_correctness_isinf_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5328440Z test_nnc_correctness_isinf_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5328649Z test_nnc_correctness_isnan_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5328857Z test_nnc_correctness_isnan_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5329072Z test_nnc_correctness_isnan_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5329286Z test_nnc_correctness_isnan_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5329492Z test_nnc_correctness_isnan_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5329680Z test_nnc_correctness_isnan_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5329879Z test_nnc_correctness_isnan_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5330086Z test_nnc_correctness_isnan_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5330288Z test_nnc_correctness_isnan_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5330517Z test_nnc_correctness_isnan_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5330720Z test_nnc_correctness_isnan_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5330929Z test_nnc_correctness_isnan_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5331144Z test_nnc_correctness_isneginf_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5331385Z test_nnc_correctness_isneginf_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5331599Z test_nnc_correctness_isneginf_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5331805Z test_nnc_correctness_isneginf_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5332003Z test_nnc_correctness_isneginf_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5332216Z test_nnc_correctness_isneginf_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5332430Z test_nnc_correctness_isneginf_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5332636Z test_nnc_correctness_isneginf_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5332848Z test_nnc_correctness_isneginf_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5333051Z test_nnc_correctness_isneginf_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5333266Z test_nnc_correctness_isposinf_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5342632Z test_nnc_correctness_isposinf_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5343008Z test_nnc_correctness_isposinf_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5343258Z test_nnc_correctness_isposinf_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5343510Z test_nnc_correctness_isposinf_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5343756Z test_nnc_correctness_isposinf_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5343987Z test_nnc_correctness_isposinf_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5344221Z test_nnc_correctness_isposinf_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5344472Z test_nnc_correctness_isposinf_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5344704Z test_nnc_correctness_isposinf_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5345065Z test_nnc_correctness_isreal_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5345307Z test_nnc_correctness_isreal_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5345557Z test_nnc_correctness_isreal_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5345804Z test_nnc_correctness_isreal_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5346204Z test_nnc_correctness_isreal_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5346419Z test_nnc_correctness_isreal_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5346629Z test_nnc_correctness_isreal_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5346820Z test_nnc_correctness_isreal_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5347030Z test_nnc_correctness_isreal_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5347229Z test_nnc_correctness_isreal_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5347464Z test_nnc_correctness_isreal_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5347669Z test_nnc_correctness_isreal_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5347871Z test_nnc_correctness_isreal_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5348085Z test_nnc_correctness_istft_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5348385Z test_nnc_correctness_istft_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5348584Z test_nnc_correctness_jiterator_2inputs_2outputs_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5348772Z test_nnc_correctness_jiterator_2inputs_2outputs_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5348968Z test_nnc_correctness_jiterator_2inputs_2outputs_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5349149Z test_nnc_correctness_jiterator_2inputs_2outputs_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5349338Z test_nnc_correctness_jiterator_2inputs_2outputs_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5349527Z test_nnc_correctness_jiterator_2inputs_2outputs_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5349717Z test_nnc_correctness_jiterator_2inputs_2outputs_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5349907Z test_nnc_correctness_jiterator_2inputs_2outputs_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5350096Z test_nnc_correctness_jiterator_2inputs_2outputs_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5350313Z test_nnc_correctness_jiterator_2inputs_2outputs_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5350501Z test_nnc_correctness_jiterator_2inputs_2outputs_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5350686Z test_nnc_correctness_jiterator_2inputs_2outputs_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5350883Z test_nnc_correctness_jiterator_4inputs_with_extra_args_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5351096Z test_nnc_correctness_jiterator_4inputs_with_extra_args_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5351296Z test_nnc_correctness_jiterator_4inputs_with_extra_args_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5351496Z test_nnc_correctness_jiterator_4inputs_with_extra_args_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5351694Z test_nnc_correctness_jiterator_4inputs_with_extra_args_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5351884Z test_nnc_correctness_jiterator_4inputs_with_extra_args_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5352072Z test_nnc_correctness_jiterator_4inputs_with_extra_args_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5352262Z test_nnc_correctness_jiterator_4inputs_with_extra_args_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5352450Z test_nnc_correctness_jiterator_4inputs_with_extra_args_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5352637Z test_nnc_correctness_jiterator_4inputs_with_extra_args_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5352825Z test_nnc_correctness_jiterator_4inputs_with_extra_args_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5353008Z test_nnc_correctness_jiterator_4inputs_with_extra_args_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5353192Z test_nnc_correctness_jiterator_binary_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5353366Z test_nnc_correctness_jiterator_binary_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5353552Z test_nnc_correctness_jiterator_binary_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5353733Z test_nnc_correctness_jiterator_binary_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5353913Z test_nnc_correctness_jiterator_binary_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5354088Z test_nnc_correctness_jiterator_binary_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5354260Z test_nnc_correctness_jiterator_binary_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5354438Z test_nnc_correctness_jiterator_binary_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5354609Z test_nnc_correctness_jiterator_binary_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5354768Z test_nnc_correctness_jiterator_binary_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5354941Z test_nnc_correctness_jiterator_binary_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5355145Z test_nnc_correctness_jiterator_binary_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5355338Z test_nnc_correctness_jiterator_binary_return_by_ref_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5355529Z test_nnc_correctness_jiterator_binary_return_by_ref_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5355725Z test_nnc_correctness_jiterator_binary_return_by_ref_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5355923Z test_nnc_correctness_jiterator_binary_return_by_ref_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5356142Z test_nnc_correctness_jiterator_binary_return_by_ref_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5356329Z test_nnc_correctness_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5356516Z test_nnc_correctness_jiterator_binary_return_by_ref_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5356694Z test_nnc_correctness_jiterator_binary_return_by_ref_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5356882Z test_nnc_correctness_jiterator_binary_return_by_ref_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5357071Z test_nnc_correctness_jiterator_binary_return_by_ref_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5357261Z test_nnc_correctness_jiterator_binary_return_by_ref_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5357448Z test_nnc_correctness_jiterator_binary_return_by_ref_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5357629Z test_nnc_correctness_jiterator_unary_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5357804Z test_nnc_correctness_jiterator_unary_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5357986Z test_nnc_correctness_jiterator_unary_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5358164Z test_nnc_correctness_jiterator_unary_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5358331Z test_nnc_correctness_jiterator_unary_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5358506Z test_nnc_correctness_jiterator_unary_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5358676Z test_nnc_correctness_jiterator_unary_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5358856Z test_nnc_correctness_jiterator_unary_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5359029Z test_nnc_correctness_jiterator_unary_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5359200Z test_nnc_correctness_jiterator_unary_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5359375Z test_nnc_correctness_jiterator_unary_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5359549Z test_nnc_correctness_jiterator_unary_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.5359765Z test_nnc_correctness_kron_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5359970Z test_nnc_correctness_kron_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5360199Z test_nnc_correctness_kron_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5360411Z test_nnc_correctness_kron_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5360619Z test_nnc_correctness_kron_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5360823Z test_nnc_correctness_kron_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5361060Z test_nnc_correctness_kron_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5361266Z test_nnc_correctness_kron_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5361470Z test_nnc_correctness_kron_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5361673Z test_nnc_correctness_kron_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5361877Z test_nnc_correctness_kron_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5362078Z test_nnc_correctness_kron_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5362296Z test_nnc_correctness_kthvalue_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5362498Z test_nnc_correctness_kthvalue_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5362704Z test_nnc_correctness_kthvalue_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5362912Z test_nnc_correctness_kthvalue_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5363114Z test_nnc_correctness_kthvalue_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5363315Z test_nnc_correctness_kthvalue_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5363521Z test_nnc_correctness_kthvalue_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5363730Z test_nnc_correctness_kthvalue_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5363931Z test_nnc_correctness_lcm_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5364133Z test_nnc_correctness_lcm_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5364335Z test_nnc_correctness_lcm_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5364537Z test_nnc_correctness_lcm_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5364730Z test_nnc_correctness_lcm_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5365012Z test_nnc_correctness_ldexp_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5365218Z test_nnc_correctness_ldexp_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5365432Z test_nnc_correctness_ldexp_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5365643Z test_nnc_correctness_ldexp_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5365890Z test_nnc_correctness_ldexp_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5366089Z test_nnc_correctness_ldexp_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5366289Z test_nnc_correctness_ldexp_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5366492Z test_nnc_correctness_ldexp_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5366701Z test_nnc_correctness_ldexp_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5366901Z test_nnc_correctness_ldexp_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5367108Z test_nnc_correctness_ldexp_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5367306Z test_nnc_correctness_ldexp_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5367516Z test_nnc_correctness_le_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5367719Z test_nnc_correctness_le_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5367923Z test_nnc_correctness_le_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5368124Z test_nnc_correctness_le_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5368332Z test_nnc_correctness_le_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5368535Z test_nnc_correctness_le_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5368742Z test_nnc_correctness_le_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5368945Z test_nnc_correctness_le_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5369147Z test_nnc_correctness_le_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5369345Z test_nnc_correctness_le_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5369547Z test_nnc_correctness_lerp_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5369785Z test_nnc_correctness_lerp_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5369995Z test_nnc_correctness_lerp_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5370199Z test_nnc_correctness_lerp_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5370399Z test_nnc_correctness_lerp_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5370607Z test_nnc_correctness_lgamma_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5370843Z test_nnc_correctness_lgamma_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5371049Z test_nnc_correctness_lgamma_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5371248Z test_nnc_correctness_lgamma_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5371450Z test_nnc_correctness_lgamma_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5371656Z test_nnc_correctness_lgamma_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5371851Z test_nnc_correctness_lgamma_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5372058Z test_nnc_correctness_lgamma_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5372259Z test_nnc_correctness_lgamma_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5372483Z test_nnc_correctness_linalg_cholesky_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5372706Z test_nnc_correctness_linalg_cholesky_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5372927Z test_nnc_correctness_linalg_cholesky_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5373145Z test_nnc_correctness_linalg_cholesky_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5373373Z test_nnc_correctness_linalg_cholesky_ex_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5373597Z test_nnc_correctness_linalg_cholesky_ex_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5373816Z test_nnc_correctness_linalg_cholesky_ex_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5374042Z test_nnc_correctness_linalg_cholesky_ex_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5374250Z test_nnc_correctness_linalg_cond_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5374472Z test_nnc_correctness_linalg_cond_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5374713Z test_nnc_correctness_linalg_cond_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5374928Z test_nnc_correctness_linalg_cond_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5375144Z test_nnc_correctness_linalg_cross_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5375360Z test_nnc_correctness_linalg_cross_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5375608Z test_nnc_correctness_linalg_cross_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5375826Z test_nnc_correctness_linalg_cross_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5376038Z test_nnc_correctness_linalg_cross_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5376251Z test_nnc_correctness_linalg_cross_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5376456Z test_nnc_correctness_linalg_cross_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5376672Z test_nnc_correctness_linalg_cross_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5376872Z test_nnc_correctness_linalg_cross_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5377085Z test_nnc_correctness_linalg_cross_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5377304Z test_nnc_correctness_linalg_det_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5377522Z test_nnc_correctness_linalg_det_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5377731Z test_nnc_correctness_linalg_det_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5377945Z test_nnc_correctness_linalg_det_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5378172Z test_nnc_correctness_linalg_det_singular_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5378397Z test_nnc_correctness_linalg_det_singular_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5378617Z test_nnc_correctness_linalg_det_singular_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5378974Z test_nnc_correctness_linalg_det_singular_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5379198Z test_nnc_correctness_linalg_eig_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5379415Z test_nnc_correctness_linalg_eig_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5379659Z test_nnc_correctness_linalg_eig_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5379865Z test_nnc_correctness_linalg_eig_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5380085Z test_nnc_correctness_linalg_eigh_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5380306Z test_nnc_correctness_linalg_eigh_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5380553Z test_nnc_correctness_linalg_eigh_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5380770Z test_nnc_correctness_linalg_eigh_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5380993Z test_nnc_correctness_linalg_eigvals_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5381214Z test_nnc_correctness_linalg_eigvals_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5381433Z test_nnc_correctness_linalg_eigvals_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5381654Z test_nnc_correctness_linalg_eigvals_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5381876Z test_nnc_correctness_linalg_eigvalsh_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5382099Z test_nnc_correctness_linalg_eigvalsh_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5382306Z test_nnc_correctness_linalg_eigvalsh_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5382524Z test_nnc_correctness_linalg_eigvalsh_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5382760Z test_nnc_correctness_linalg_householder_product_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5383000Z test_nnc_correctness_linalg_householder_product_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5383236Z test_nnc_correctness_linalg_householder_product_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5383464Z test_nnc_correctness_linalg_householder_product_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5383680Z test_nnc_correctness_linalg_inv_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5383894Z test_nnc_correctness_linalg_inv_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5384107Z test_nnc_correctness_linalg_inv_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5384344Z test_nnc_correctness_linalg_inv_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5384563Z test_nnc_correctness_linalg_inv_ex_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5384783Z test_nnc_correctness_linalg_inv_ex_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5384986Z test_nnc_correctness_linalg_inv_ex_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5385197Z test_nnc_correctness_linalg_inv_ex_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5385450Z test_nnc_correctness_linalg_ldl_factor_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5385673Z test_nnc_correctness_linalg_ldl_factor_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5385893Z test_nnc_correctness_linalg_ldl_factor_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5386112Z test_nnc_correctness_linalg_ldl_factor_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5386338Z test_nnc_correctness_linalg_ldl_factor_ex_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5386565Z test_nnc_correctness_linalg_ldl_factor_ex_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5386789Z test_nnc_correctness_linalg_ldl_factor_ex_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5387005Z test_nnc_correctness_linalg_ldl_factor_ex_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5387226Z test_nnc_correctness_linalg_ldl_solve_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5387446Z test_nnc_correctness_linalg_ldl_solve_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5387655Z test_nnc_correctness_linalg_ldl_solve_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5387874Z test_nnc_correctness_linalg_ldl_solve_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5388095Z test_nnc_correctness_linalg_lstsq_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5388389Z test_nnc_correctness_linalg_lstsq_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5388608Z test_nnc_correctness_linalg_lstsq_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5388821Z test_nnc_correctness_linalg_lstsq_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5389061Z test_nnc_correctness_linalg_lstsq_grad_oriented_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5389328Z test_nnc_correctness_linalg_lstsq_grad_oriented_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5389560Z test_nnc_correctness_linalg_lstsq_grad_oriented_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5389792Z test_nnc_correctness_linalg_lstsq_grad_oriented_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5390007Z test_nnc_correctness_linalg_lu_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5390254Z test_nnc_correctness_linalg_lu_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5390458Z test_nnc_correctness_linalg_lu_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5390665Z test_nnc_correctness_linalg_lu_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5390888Z test_nnc_correctness_linalg_lu_factor_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5391110Z test_nnc_correctness_linalg_lu_factor_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5391335Z test_nnc_correctness_linalg_lu_factor_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5391554Z test_nnc_correctness_linalg_lu_factor_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5391781Z test_nnc_correctness_linalg_lu_factor_ex_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5392009Z test_nnc_correctness_linalg_lu_factor_ex_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5392232Z test_nnc_correctness_linalg_lu_factor_ex_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5392450Z test_nnc_correctness_linalg_lu_factor_ex_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5392675Z test_nnc_correctness_linalg_lu_solve_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5392901Z test_nnc_correctness_linalg_lu_solve_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5393108Z test_nnc_correctness_linalg_lu_solve_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5393326Z test_nnc_correctness_linalg_lu_solve_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5393549Z test_nnc_correctness_linalg_matrix_norm_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5393775Z test_nnc_correctness_linalg_matrix_norm_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5394028Z test_nnc_correctness_linalg_matrix_norm_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5394248Z test_nnc_correctness_linalg_matrix_norm_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5394470Z test_nnc_correctness_linalg_matrix_norm_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5394689Z test_nnc_correctness_linalg_matrix_norm_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5394940Z test_nnc_correctness_linalg_matrix_power_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5395164Z test_nnc_correctness_linalg_matrix_power_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5395391Z test_nnc_correctness_linalg_matrix_power_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5395605Z test_nnc_correctness_linalg_matrix_power_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5395819Z test_nnc_correctness_linalg_matrix_rank_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5396044Z test_nnc_correctness_linalg_matrix_rank_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5396267Z test_nnc_correctness_linalg_matrix_rank_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5396492Z test_nnc_correctness_linalg_matrix_rank_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5396735Z test_nnc_correctness_linalg_matrix_rank_hermitian_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5396970Z test_nnc_correctness_linalg_matrix_rank_hermitian_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5397200Z test_nnc_correctness_linalg_matrix_rank_hermitian_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5397435Z test_nnc_correctness_linalg_matrix_rank_hermitian_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5397658Z test_nnc_correctness_linalg_multi_dot_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5397879Z test_nnc_correctness_linalg_multi_dot_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5398098Z test_nnc_correctness_linalg_multi_dot_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5398315Z test_nnc_correctness_linalg_multi_dot_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5398524Z test_nnc_correctness_linalg_multi_dot_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5398767Z test_nnc_correctness_linalg_multi_dot_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5398985Z test_nnc_correctness_linalg_multi_dot_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5399161Z test_nnc_correctness_linalg_multi_dot_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5399375Z test_nnc_correctness_linalg_multi_dot_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5399588Z test_nnc_correctness_linalg_multi_dot_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5399842Z test_nnc_correctness_linalg_norm_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5400058Z test_nnc_correctness_linalg_norm_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5400274Z test_nnc_correctness_linalg_norm_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5400489Z test_nnc_correctness_linalg_norm_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5400700Z test_nnc_correctness_linalg_norm_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5400917Z test_nnc_correctness_linalg_norm_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5401146Z test_nnc_correctness_linalg_norm_subgradients_at_zero_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5401387Z test_nnc_correctness_linalg_norm_subgradients_at_zero_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5401625Z test_nnc_correctness_linalg_norm_subgradients_at_zero_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5401864Z test_nnc_correctness_linalg_norm_subgradients_at_zero_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5402102Z test_nnc_correctness_linalg_norm_subgradients_at_zero_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5402339Z test_nnc_correctness_linalg_norm_subgradients_at_zero_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5402555Z test_nnc_correctness_linalg_pinv_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5402772Z test_nnc_correctness_linalg_pinv_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5402987Z test_nnc_correctness_linalg_pinv_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5403199Z test_nnc_correctness_linalg_pinv_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5403432Z test_nnc_correctness_linalg_pinv_hermitian_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5403685Z test_nnc_correctness_linalg_pinv_hermitian_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5403900Z test_nnc_correctness_linalg_pinv_hermitian_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5404119Z test_nnc_correctness_linalg_pinv_hermitian_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5404344Z test_nnc_correctness_linalg_pinv_singular_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5404595Z test_nnc_correctness_linalg_pinv_singular_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5404818Z test_nnc_correctness_linalg_pinv_singular_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5405039Z test_nnc_correctness_linalg_pinv_singular_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5405256Z test_nnc_correctness_linalg_qr_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5405468Z test_nnc_correctness_linalg_qr_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5405685Z test_nnc_correctness_linalg_qr_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5405899Z test_nnc_correctness_linalg_qr_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5406125Z test_nnc_correctness_linalg_slogdet_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5406348Z test_nnc_correctness_linalg_slogdet_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5406553Z test_nnc_correctness_linalg_slogdet_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5406770Z test_nnc_correctness_linalg_slogdet_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5406988Z test_nnc_correctness_linalg_solve_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5407205Z test_nnc_correctness_linalg_solve_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5407421Z test_nnc_correctness_linalg_solve_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5407634Z test_nnc_correctness_linalg_solve_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5407856Z test_nnc_correctness_linalg_solve_ex_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5408080Z test_nnc_correctness_linalg_solve_ex_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5408300Z test_nnc_correctness_linalg_solve_ex_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5408545Z test_nnc_correctness_linalg_solve_ex_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5408778Z test_nnc_correctness_linalg_solve_triangular_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5409005Z test_nnc_correctness_linalg_solve_triangular_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5409219Z test_nnc_correctness_linalg_solve_triangular_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5409476Z test_nnc_correctness_linalg_solve_triangular_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5409698Z test_nnc_correctness_linalg_svd_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5409916Z test_nnc_correctness_linalg_svd_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5410127Z test_nnc_correctness_linalg_svd_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5410331Z test_nnc_correctness_linalg_svd_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5410559Z test_nnc_correctness_linalg_svdvals_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5410779Z test_nnc_correctness_linalg_svdvals_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5410995Z test_nnc_correctness_linalg_svdvals_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5411212Z test_nnc_correctness_linalg_svdvals_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5411437Z test_nnc_correctness_linalg_tensorinv_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5411658Z test_nnc_correctness_linalg_tensorinv_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5411867Z test_nnc_correctness_linalg_tensorinv_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5412087Z test_nnc_correctness_linalg_tensorinv_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5412314Z test_nnc_correctness_linalg_tensorsolve_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5412535Z test_nnc_correctness_linalg_tensorsolve_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5412754Z test_nnc_correctness_linalg_tensorsolve_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5412976Z test_nnc_correctness_linalg_tensorsolve_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5413225Z test_nnc_correctness_linalg_vander_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5413446Z test_nnc_correctness_linalg_vander_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5413663Z test_nnc_correctness_linalg_vander_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5413881Z test_nnc_correctness_linalg_vander_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5414130Z test_nnc_correctness_linalg_vander_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5414346Z test_nnc_correctness_linalg_vander_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5414550Z test_nnc_correctness_linalg_vander_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5414762Z test_nnc_correctness_linalg_vander_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5414972Z test_nnc_correctness_linalg_vander_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5415189Z test_nnc_correctness_linalg_vecdot_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5415410Z test_nnc_correctness_linalg_vecdot_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5415628Z test_nnc_correctness_linalg_vecdot_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5415845Z test_nnc_correctness_linalg_vecdot_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5416061Z test_nnc_correctness_linalg_vecdot_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5416283Z test_nnc_correctness_linalg_vector_norm_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5416506Z test_nnc_correctness_linalg_vector_norm_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5416729Z test_nnc_correctness_linalg_vector_norm_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5416952Z test_nnc_correctness_linalg_vector_norm_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5417160Z test_nnc_correctness_linalg_vector_norm_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5417381Z test_nnc_correctness_linalg_vector_norm_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5417597Z test_nnc_correctness_linspace_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5417816Z test_nnc_correctness_linspace_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5418061Z test_nnc_correctness_linspace_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5418274Z test_nnc_correctness_linspace_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5418485Z test_nnc_correctness_linspace_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5418698Z test_nnc_correctness_linspace_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5419065Z test_nnc_correctness_linspace_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5419268Z test_nnc_correctness_linspace_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5419470Z test_nnc_correctness_linspace_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5419666Z test_nnc_correctness_linspace_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5419877Z test_nnc_correctness_linspace_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5420082Z test_nnc_correctness_log10_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5420291Z test_nnc_correctness_log10_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5420502Z test_nnc_correctness_log10_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5420712Z test_nnc_correctness_log10_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5420919Z test_nnc_correctness_log10_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5421119Z test_nnc_correctness_log10_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5421324Z test_nnc_correctness_log10_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5421527Z test_nnc_correctness_log10_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5421726Z test_nnc_correctness_log10_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5421917Z test_nnc_correctness_log10_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5422120Z test_nnc_correctness_log10_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5422329Z test_nnc_correctness_log1p_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5422533Z test_nnc_correctness_log1p_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5422740Z test_nnc_correctness_log1p_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5422994Z test_nnc_correctness_log1p_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5423195Z test_nnc_correctness_log1p_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5423391Z test_nnc_correctness_log1p_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5423587Z test_nnc_correctness_log1p_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5423788Z test_nnc_correctness_log1p_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5424044Z test_nnc_correctness_log1p_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5424253Z test_nnc_correctness_log2_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5424443Z test_nnc_correctness_log2_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5424655Z test_nnc_correctness_log2_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5424862Z test_nnc_correctness_log2_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5425071Z test_nnc_correctness_log2_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5425270Z test_nnc_correctness_log2_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5425474Z test_nnc_correctness_log2_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5425674Z test_nnc_correctness_log2_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5425875Z test_nnc_correctness_log2_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5426078Z test_nnc_correctness_log2_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5426282Z test_nnc_correctness_log2_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5426491Z test_nnc_correctness_log_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5426685Z test_nnc_correctness_log_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5426892Z test_nnc_correctness_log_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5427099Z test_nnc_correctness_log_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5427304Z test_nnc_correctness_log_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5427504Z test_nnc_correctness_log_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5427733Z test_nnc_correctness_log_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5427937Z test_nnc_correctness_log_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5428136Z test_nnc_correctness_log_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5428414Z test_nnc_correctness_log_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5428618Z test_nnc_correctness_log_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5428870Z test_nnc_correctness_log_softmax_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5429074Z test_nnc_correctness_log_softmax_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5429289Z test_nnc_correctness_log_softmax_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5429515Z test_nnc_correctness_log_softmax_with_dtype_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5429739Z test_nnc_correctness_log_softmax_with_dtype_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5429967Z test_nnc_correctness_log_softmax_with_dtype_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5430196Z test_nnc_correctness_log_softmax_with_dtype_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5430416Z test_nnc_correctness_log_softmax_with_dtype_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5430642Z test_nnc_correctness_log_softmax_with_dtype_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5430859Z test_nnc_correctness_log_softmax_with_dtype_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5431079Z test_nnc_correctness_log_softmax_with_dtype_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5431302Z test_nnc_correctness_log_softmax_with_dtype_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5431522Z test_nnc_correctness_log_softmax_with_dtype_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5431730Z test_nnc_correctness_log_softmax_with_dtype_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5431950Z test_nnc_correctness_log_softmax_with_dtype_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5432166Z test_nnc_correctness_log_softmax_with_dtype_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5432389Z test_nnc_correctness_logaddexp2_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5432638Z test_nnc_correctness_logaddexp2_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5432856Z test_nnc_correctness_logaddexp2_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5433064Z test_nnc_correctness_logaddexp_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5433282Z test_nnc_correctness_logaddexp_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5433536Z test_nnc_correctness_logaddexp_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5433755Z test_nnc_correctness_logcumsumexp_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5433973Z test_nnc_correctness_logcumsumexp_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5434188Z test_nnc_correctness_logcumsumexp_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5434392Z test_nnc_correctness_logdet_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5434604Z test_nnc_correctness_logdet_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5434817Z test_nnc_correctness_logdet_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5435029Z test_nnc_correctness_logdet_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5435241Z test_nnc_correctness_logical_and_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5435456Z test_nnc_correctness_logical_and_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5435673Z test_nnc_correctness_logical_and_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5435889Z test_nnc_correctness_logical_and_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5436106Z test_nnc_correctness_logical_and_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5436321Z test_nnc_correctness_logical_and_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5436534Z test_nnc_correctness_logical_and_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5436733Z test_nnc_correctness_logical_and_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5436936Z test_nnc_correctness_logical_and_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5437152Z test_nnc_correctness_logical_and_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5437391Z test_nnc_correctness_logical_and_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5437604Z test_nnc_correctness_logical_and_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5437817Z test_nnc_correctness_logical_not_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5438024Z test_nnc_correctness_logical_not_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5438240Z test_nnc_correctness_logical_not_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5438513Z test_nnc_correctness_logical_not_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5438726Z test_nnc_correctness_logical_not_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5438937Z test_nnc_correctness_logical_not_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5439147Z test_nnc_correctness_logical_not_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5439346Z test_nnc_correctness_logical_not_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5439553Z test_nnc_correctness_logical_not_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5439762Z test_nnc_correctness_logical_not_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5439973Z test_nnc_correctness_logical_not_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5440181Z test_nnc_correctness_logical_not_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5440395Z test_nnc_correctness_logical_or_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5440605Z test_nnc_correctness_logical_or_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5440822Z test_nnc_correctness_logical_or_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5441038Z test_nnc_correctness_logical_or_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5441247Z test_nnc_correctness_logical_or_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5441454Z test_nnc_correctness_logical_or_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5441653Z test_nnc_correctness_logical_or_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5441862Z test_nnc_correctness_logical_or_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5442067Z test_nnc_correctness_logical_or_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5442306Z test_nnc_correctness_logical_or_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5442515Z test_nnc_correctness_logical_or_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5442727Z test_nnc_correctness_logical_or_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5442942Z test_nnc_correctness_logical_xor_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5443179Z test_nnc_correctness_logical_xor_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5443400Z test_nnc_correctness_logical_xor_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5443618Z test_nnc_correctness_logical_xor_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5443829Z test_nnc_correctness_logical_xor_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5444044Z test_nnc_correctness_logical_xor_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5444245Z test_nnc_correctness_logical_xor_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5444456Z test_nnc_correctness_logical_xor_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5444663Z test_nnc_correctness_logical_xor_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5444871Z test_nnc_correctness_logical_xor_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5445081Z test_nnc_correctness_logical_xor_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5445287Z test_nnc_correctness_logical_xor_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5445498Z test_nnc_correctness_logit_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5445704Z test_nnc_correctness_logit_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5445911Z test_nnc_correctness_logit_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5446121Z test_nnc_correctness_logit_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5446323Z test_nnc_correctness_logit_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5446515Z test_nnc_correctness_logit_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5446721Z test_nnc_correctness_logit_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5446925Z test_nnc_correctness_logit_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5447156Z test_nnc_correctness_logit_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5447370Z test_nnc_correctness_logspace_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5447584Z test_nnc_correctness_logspace_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5447799Z test_nnc_correctness_logspace_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5448041Z test_nnc_correctness_logspace_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5448249Z test_nnc_correctness_logspace_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5448456Z test_nnc_correctness_logspace_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5448657Z test_nnc_correctness_logspace_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5448844Z test_nnc_correctness_logspace_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5449053Z test_nnc_correctness_logspace_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5449262Z test_nnc_correctness_logspace_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5449479Z test_nnc_correctness_logsumexp_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5449685Z test_nnc_correctness_logsumexp_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5449900Z test_nnc_correctness_logsumexp_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5450112Z test_nnc_correctness_logsumexp_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5450325Z test_nnc_correctness_logsumexp_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5450532Z test_nnc_correctness_logsumexp_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5450745Z test_nnc_correctness_logsumexp_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5450957Z test_nnc_correctness_logsumexp_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5451153Z test_nnc_correctness_logsumexp_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5451366Z test_nnc_correctness_long_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5451574Z test_nnc_correctness_long_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5451809Z test_nnc_correctness_long_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5452020Z test_nnc_correctness_long_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5452224Z test_nnc_correctness_long_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5452431Z test_nnc_correctness_long_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5452631Z test_nnc_correctness_long_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5452868Z test_nnc_correctness_long_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5453075Z test_nnc_correctness_long_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5453282Z test_nnc_correctness_long_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5453487Z test_nnc_correctness_long_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5453678Z test_nnc_correctness_long_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5453880Z test_nnc_correctness_long_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5454093Z test_nnc_correctness_lt_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5454298Z test_nnc_correctness_lt_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5454504Z test_nnc_correctness_lt_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5454709Z test_nnc_correctness_lt_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5454917Z test_nnc_correctness_lt_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5455123Z test_nnc_correctness_lt_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5455326Z test_nnc_correctness_lt_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5455531Z test_nnc_correctness_lt_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5455732Z test_nnc_correctness_lt_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5455922Z test_nnc_correctness_lt_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5456131Z test_nnc_correctness_lu_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5456340Z test_nnc_correctness_lu_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5456546Z test_nnc_correctness_lu_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5456782Z test_nnc_correctness_lu_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5457002Z test_nnc_correctness_lu_solve_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5457218Z test_nnc_correctness_lu_solve_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5457425Z test_nnc_correctness_lu_solve_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5457665Z test_nnc_correctness_lu_solve_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5457882Z test_nnc_correctness_lu_unpack_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5458099Z test_nnc_correctness_lu_unpack_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5458300Z test_nnc_correctness_lu_unpack_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5458515Z test_nnc_correctness_lu_unpack_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5458724Z test_nnc_correctness_mH_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5459049Z test_nnc_correctness_mH_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5459261Z test_nnc_correctness_mH_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5459468Z test_nnc_correctness_mH_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5459678Z test_nnc_correctness_mH_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5459881Z test_nnc_correctness_mH_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5460088Z test_nnc_correctness_mH_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5460293Z test_nnc_correctness_mH_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5460498Z test_nnc_correctness_mH_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5460687Z test_nnc_correctness_mH_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5460892Z test_nnc_correctness_mH_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5461094Z test_nnc_correctness_mH_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5461298Z test_nnc_correctness_mH_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5461502Z test_nnc_correctness_mT_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5461751Z test_nnc_correctness_mT_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5461959Z test_nnc_correctness_mT_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5462165Z test_nnc_correctness_mT_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5462366Z test_nnc_correctness_mT_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5462610Z test_nnc_correctness_mT_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5462814Z test_nnc_correctness_mT_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5463006Z test_nnc_correctness_mT_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5463207Z test_nnc_correctness_mT_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5463407Z test_nnc_correctness_mT_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5463608Z test_nnc_correctness_mT_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5463812Z test_nnc_correctness_mT_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5464012Z test_nnc_correctness_mT_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5464225Z test_nnc_correctness_masked_amax_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5464444Z test_nnc_correctness_masked_amax_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5464660Z test_nnc_correctness_masked_amax_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5464872Z test_nnc_correctness_masked_amax_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5465085Z test_nnc_correctness_masked_amax_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5465278Z test_nnc_correctness_masked_amax_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5465490Z test_nnc_correctness_masked_amax_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5465700Z test_nnc_correctness_masked_amax_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5465911Z test_nnc_correctness_masked_amax_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5466130Z test_nnc_correctness_masked_amin_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5466345Z test_nnc_correctness_masked_amin_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5466587Z test_nnc_correctness_masked_amin_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5466801Z test_nnc_correctness_masked_amin_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5467008Z test_nnc_correctness_masked_amin_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5467210Z test_nnc_correctness_masked_amin_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5467460Z test_nnc_correctness_masked_amin_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5467671Z test_nnc_correctness_masked_amin_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5467870Z test_nnc_correctness_masked_amin_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5468089Z test_nnc_correctness_masked_argmax_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5468379Z test_nnc_correctness_masked_argmax_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5468598Z test_nnc_correctness_masked_argmax_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5468817Z test_nnc_correctness_masked_argmax_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5469032Z test_nnc_correctness_masked_argmax_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5469247Z test_nnc_correctness_masked_argmax_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5469462Z test_nnc_correctness_masked_argmax_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5469674Z test_nnc_correctness_masked_argmax_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5469888Z test_nnc_correctness_masked_argmax_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5470105Z test_nnc_correctness_masked_argmin_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5470308Z test_nnc_correctness_masked_argmin_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5470520Z test_nnc_correctness_masked_argmin_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5470734Z test_nnc_correctness_masked_argmin_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5470944Z test_nnc_correctness_masked_argmin_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5471160Z test_nnc_correctness_masked_argmin_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5471415Z test_nnc_correctness_masked_argmin_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5471627Z test_nnc_correctness_masked_argmin_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5471837Z test_nnc_correctness_masked_argmin_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5472058Z test_nnc_correctness_masked_cumprod_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5472319Z test_nnc_correctness_masked_cumprod_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5472541Z test_nnc_correctness_masked_cumprod_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5472757Z test_nnc_correctness_masked_cumprod_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5472962Z test_nnc_correctness_masked_cumprod_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5473176Z test_nnc_correctness_masked_cumprod_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5473392Z test_nnc_correctness_masked_cumprod_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5473604Z test_nnc_correctness_masked_cumprod_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5473819Z test_nnc_correctness_masked_cumprod_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5474034Z test_nnc_correctness_masked_cumprod_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5474250Z test_nnc_correctness_masked_cumsum_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5474468Z test_nnc_correctness_masked_cumsum_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5474688Z test_nnc_correctness_masked_cumsum_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5474910Z test_nnc_correctness_masked_cumsum_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5475127Z test_nnc_correctness_masked_cumsum_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5475342Z test_nnc_correctness_masked_cumsum_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5475543Z test_nnc_correctness_masked_cumsum_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5475755Z test_nnc_correctness_masked_cumsum_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5475968Z test_nnc_correctness_masked_cumsum_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5476208Z test_nnc_correctness_masked_cumsum_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5476423Z test_nnc_correctness_masked_fill_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5476634Z test_nnc_correctness_masked_fill_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5476849Z test_nnc_correctness_masked_fill_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5477096Z test_nnc_correctness_masked_fill_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5477314Z test_nnc_correctness_masked_fill_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5477525Z test_nnc_correctness_masked_fill_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5477736Z test_nnc_correctness_masked_fill_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5477935Z test_nnc_correctness_masked_fill_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5478144Z test_nnc_correctness_masked_fill_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5478350Z test_nnc_correctness_masked_fill_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5478562Z test_nnc_correctness_masked_fill_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5478774Z test_nnc_correctness_masked_fill_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5478982Z test_nnc_correctness_masked_fill_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5479207Z test_nnc_correctness_masked_log_softmax_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5479431Z test_nnc_correctness_masked_log_softmax_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5479652Z test_nnc_correctness_masked_log_softmax_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5479876Z test_nnc_correctness_masked_logaddexp_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5480096Z test_nnc_correctness_masked_logaddexp_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5480316Z test_nnc_correctness_masked_logaddexp_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5480525Z test_nnc_correctness_masked_logsumexp_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5480745Z test_nnc_correctness_masked_logsumexp_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5480992Z test_nnc_correctness_masked_logsumexp_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5481210Z test_nnc_correctness_masked_logsumexp_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5481425Z test_nnc_correctness_masked_logsumexp_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5481642Z test_nnc_correctness_masked_logsumexp_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5481888Z test_nnc_correctness_masked_logsumexp_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5482106Z test_nnc_correctness_masked_logsumexp_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5482320Z test_nnc_correctness_masked_mean_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5482535Z test_nnc_correctness_masked_mean_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5482747Z test_nnc_correctness_masked_mean_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5482963Z test_nnc_correctness_masked_mean_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5483167Z test_nnc_correctness_masked_mean_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5483384Z test_nnc_correctness_masked_mean_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5483598Z test_nnc_correctness_masked_mean_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5483810Z test_nnc_correctness_masked_mean_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5484020Z test_nnc_correctness_masked_mean_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5484227Z test_nnc_correctness_masked_mean_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5484437Z test_nnc_correctness_masked_mean_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5484651Z test_nnc_correctness_masked_mean_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5484871Z test_nnc_correctness_masked_median_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5485085Z test_nnc_correctness_masked_median_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5485301Z test_nnc_correctness_masked_median_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5485507Z test_nnc_correctness_masked_norm_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5485748Z test_nnc_correctness_masked_norm_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5485962Z test_nnc_correctness_masked_norm_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5486172Z test_nnc_correctness_masked_norm_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5486396Z test_nnc_correctness_masked_normalize_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5486647Z test_nnc_correctness_masked_normalize_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5486870Z test_nnc_correctness_masked_normalize_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5487094Z test_nnc_correctness_masked_normalize_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5487316Z test_nnc_correctness_masked_normalize_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5487535Z test_nnc_correctness_masked_normalize_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5487748Z test_nnc_correctness_masked_prod_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5487962Z test_nnc_correctness_masked_prod_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5488170Z test_nnc_correctness_masked_prod_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5488388Z test_nnc_correctness_masked_prod_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5488598Z test_nnc_correctness_masked_prod_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5488810Z test_nnc_correctness_masked_prod_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5489021Z test_nnc_correctness_masked_prod_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5489232Z test_nnc_correctness_masked_prod_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5489438Z test_nnc_correctness_masked_prod_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5489650Z test_nnc_correctness_masked_prod_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5489864Z test_nnc_correctness_masked_prod_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5490083Z test_nnc_correctness_masked_scatter_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5490298Z test_nnc_correctness_masked_scatter_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5490536Z test_nnc_correctness_masked_scatter_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5490763Z test_nnc_correctness_masked_scatter_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5490979Z test_nnc_correctness_masked_scatter_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5491194Z test_nnc_correctness_masked_scatter_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5491441Z test_nnc_correctness_masked_scatter_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5491653Z test_nnc_correctness_masked_scatter_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5491870Z test_nnc_correctness_masked_scatter_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5492083Z test_nnc_correctness_masked_scatter_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5492293Z test_nnc_correctness_masked_scatter_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5492503Z test_nnc_correctness_masked_scatter_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5492719Z test_nnc_correctness_masked_select_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5492939Z test_nnc_correctness_masked_select_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5493245Z test_nnc_correctness_masked_select_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5493487Z test_nnc_correctness_masked_select_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5493710Z test_nnc_correctness_masked_select_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5493929Z test_nnc_correctness_masked_select_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5494146Z test_nnc_correctness_masked_select_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5494358Z test_nnc_correctness_masked_select_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5494569Z test_nnc_correctness_masked_select_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5494782Z test_nnc_correctness_masked_select_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5494994Z test_nnc_correctness_masked_select_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5495206Z test_nnc_correctness_masked_select_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5495461Z test_nnc_correctness_masked_softmax_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5495677Z test_nnc_correctness_masked_softmax_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5495880Z test_nnc_correctness_masked_softmax_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5496100Z test_nnc_correctness_masked_softmin_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5496353Z test_nnc_correctness_masked_softmin_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5496562Z test_nnc_correctness_masked_softmin_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5496776Z test_nnc_correctness_masked_std_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5496994Z test_nnc_correctness_masked_std_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5497212Z test_nnc_correctness_masked_std_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5497425Z test_nnc_correctness_masked_std_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5497639Z test_nnc_correctness_masked_std_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5497852Z test_nnc_correctness_masked_std_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5498057Z test_nnc_correctness_masked_std_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5498266Z test_nnc_correctness_masked_std_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5498465Z test_nnc_correctness_masked_std_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5498676Z test_nnc_correctness_masked_std_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5499006Z test_nnc_correctness_masked_sum_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5499222Z test_nnc_correctness_masked_sum_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5499438Z test_nnc_correctness_masked_sum_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5499654Z test_nnc_correctness_masked_sum_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5499864Z test_nnc_correctness_masked_sum_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5500073Z test_nnc_correctness_masked_sum_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5500275Z test_nnc_correctness_masked_sum_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5500532Z test_nnc_correctness_masked_sum_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5500736Z test_nnc_correctness_masked_sum_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5500938Z test_nnc_correctness_masked_sum_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5501148Z test_nnc_correctness_masked_sum_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5501408Z test_nnc_correctness_masked_sum_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5501624Z test_nnc_correctness_masked_var_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5501843Z test_nnc_correctness_masked_var_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5502062Z test_nnc_correctness_masked_var_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5502272Z test_nnc_correctness_masked_var_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5502487Z test_nnc_correctness_masked_var_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5502692Z test_nnc_correctness_masked_var_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5502902Z test_nnc_correctness_masked_var_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5503109Z test_nnc_correctness_masked_var_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5503315Z test_nnc_correctness_masked_var_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5503513Z test_nnc_correctness_masked_var_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5503739Z test_nnc_correctness_masked_var_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5504053Z test_nnc_correctness_matmul_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5504313Z test_nnc_correctness_matmul_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5504553Z test_nnc_correctness_matmul_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5504763Z test_nnc_correctness_matmul_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5504966Z test_nnc_correctness_matmul_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5505174Z test_nnc_correctness_matmul_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5505415Z test_nnc_correctness_matmul_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5505578Z test_nnc_correctness_matmul_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5505775Z test_nnc_correctness_matmul_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5505980Z test_nnc_correctness_matmul_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5506195Z test_nnc_correctness_matrix_exp_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5506442Z test_nnc_correctness_matrix_exp_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5506661Z test_nnc_correctness_matrix_exp_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5506871Z test_nnc_correctness_matrix_exp_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5507076Z test_nnc_correctness_matrix_exp_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5507289Z test_nnc_correctness_max_binary_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5507501Z test_nnc_correctness_max_binary_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5507713Z test_nnc_correctness_max_binary_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5507920Z test_nnc_correctness_max_binary_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5508129Z test_nnc_correctness_max_binary_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5508394Z test_nnc_correctness_max_binary_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5508605Z test_nnc_correctness_max_binary_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5508818Z test_nnc_correctness_max_binary_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5509027Z test_nnc_correctness_max_binary_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5509235Z test_nnc_correctness_max_binary_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5509473Z test_nnc_correctness_max_pool2d_with_indices_backward_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5509710Z test_nnc_correctness_max_pool2d_with_indices_backward_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5509947Z test_nnc_correctness_max_pool2d_with_indices_backward_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5510173Z test_nnc_correctness_max_reduction_no_dim_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5510428Z test_nnc_correctness_max_reduction_no_dim_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5510657Z test_nnc_correctness_max_reduction_no_dim_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5510877Z test_nnc_correctness_max_reduction_no_dim_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5511088Z test_nnc_correctness_max_reduction_no_dim_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5511336Z test_nnc_correctness_max_reduction_no_dim_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5511562Z test_nnc_correctness_max_reduction_no_dim_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5511783Z test_nnc_correctness_max_reduction_no_dim_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5512002Z test_nnc_correctness_max_reduction_no_dim_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5512219Z test_nnc_correctness_max_reduction_no_dim_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5512448Z test_nnc_correctness_max_reduction_with_dim_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5512672Z test_nnc_correctness_max_reduction_with_dim_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5512897Z test_nnc_correctness_max_reduction_with_dim_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5513122Z test_nnc_correctness_max_reduction_with_dim_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5513343Z test_nnc_correctness_max_reduction_with_dim_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5513568Z test_nnc_correctness_max_reduction_with_dim_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5513778Z test_nnc_correctness_max_reduction_with_dim_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5513994Z test_nnc_correctness_max_reduction_with_dim_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5514216Z test_nnc_correctness_max_reduction_with_dim_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5514439Z test_nnc_correctness_max_reduction_with_dim_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5514650Z test_nnc_correctness_maximum_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5514859Z test_nnc_correctness_maximum_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5515131Z test_nnc_correctness_maximum_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5515338Z test_nnc_correctness_maximum_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5515548Z test_nnc_correctness_maximum_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5515757Z test_nnc_correctness_maximum_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5515989Z test_nnc_correctness_maximum_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5516190Z test_nnc_correctness_maximum_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5516387Z test_nnc_correctness_maximum_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5516595Z test_nnc_correctness_maximum_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5516799Z test_nnc_correctness_mean_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5517011Z test_nnc_correctness_mean_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5517226Z test_nnc_correctness_mean_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5517433Z test_nnc_correctness_mean_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5517635Z test_nnc_correctness_mean_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5517833Z test_nnc_correctness_mean_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5518042Z test_nnc_correctness_median_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5518251Z test_nnc_correctness_median_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5518456Z test_nnc_correctness_median_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5518647Z test_nnc_correctness_median_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5518845Z test_nnc_correctness_median_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5519055Z test_nnc_correctness_median_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5519264Z test_nnc_correctness_median_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5519470Z test_nnc_correctness_median_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5519701Z test_nnc_correctness_meshgrid_list_of_tensors_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5519956Z test_nnc_correctness_meshgrid_list_of_tensors_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5520187Z test_nnc_correctness_meshgrid_list_of_tensors_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5520419Z test_nnc_correctness_meshgrid_list_of_tensors_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5520649Z test_nnc_correctness_meshgrid_list_of_tensors_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5520910Z test_nnc_correctness_meshgrid_list_of_tensors_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5521138Z test_nnc_correctness_meshgrid_list_of_tensors_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5521349Z test_nnc_correctness_meshgrid_list_of_tensors_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5521564Z test_nnc_correctness_meshgrid_list_of_tensors_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5521775Z test_nnc_correctness_meshgrid_list_of_tensors_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5521999Z test_nnc_correctness_meshgrid_list_of_tensors_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5522226Z test_nnc_correctness_meshgrid_list_of_tensors_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5522458Z test_nnc_correctness_meshgrid_variadic_tensors_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5522680Z test_nnc_correctness_meshgrid_variadic_tensors_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5522910Z test_nnc_correctness_meshgrid_variadic_tensors_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5523145Z test_nnc_correctness_meshgrid_variadic_tensors_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5523381Z test_nnc_correctness_meshgrid_variadic_tensors_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5523611Z test_nnc_correctness_meshgrid_variadic_tensors_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5523840Z test_nnc_correctness_meshgrid_variadic_tensors_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5524055Z test_nnc_correctness_meshgrid_variadic_tensors_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5524283Z test_nnc_correctness_meshgrid_variadic_tensors_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5524509Z test_nnc_correctness_meshgrid_variadic_tensors_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5524762Z test_nnc_correctness_meshgrid_variadic_tensors_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5524986Z test_nnc_correctness_meshgrid_variadic_tensors_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5525199Z test_nnc_correctness_min_binary_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5525408Z test_nnc_correctness_min_binary_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5525648Z test_nnc_correctness_min_binary_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5525859Z test_nnc_correctness_min_binary_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5526064Z test_nnc_correctness_min_binary_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5526275Z test_nnc_correctness_min_binary_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5526487Z test_nnc_correctness_min_binary_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5526682Z test_nnc_correctness_min_binary_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5526891Z test_nnc_correctness_min_binary_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5527102Z test_nnc_correctness_min_binary_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5527324Z test_nnc_correctness_min_reduction_no_dim_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5527539Z test_nnc_correctness_min_reduction_no_dim_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5527762Z test_nnc_correctness_min_reduction_no_dim_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5527987Z test_nnc_correctness_min_reduction_no_dim_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5528208Z test_nnc_correctness_min_reduction_no_dim_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5528426Z test_nnc_correctness_min_reduction_no_dim_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5528647Z test_nnc_correctness_min_reduction_no_dim_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5528866Z test_nnc_correctness_min_reduction_no_dim_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5529084Z test_nnc_correctness_min_reduction_no_dim_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5529320Z test_nnc_correctness_min_reduction_no_dim_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5529546Z test_nnc_correctness_min_reduction_with_dim_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5529765Z test_nnc_correctness_min_reduction_with_dim_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5529989Z test_nnc_correctness_min_reduction_with_dim_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5530203Z test_nnc_correctness_min_reduction_with_dim_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5530445Z test_nnc_correctness_min_reduction_with_dim_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5530666Z test_nnc_correctness_min_reduction_with_dim_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5530878Z test_nnc_correctness_min_reduction_with_dim_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5531089Z test_nnc_correctness_min_reduction_with_dim_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5531312Z test_nnc_correctness_min_reduction_with_dim_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5531536Z test_nnc_correctness_min_reduction_with_dim_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5531747Z test_nnc_correctness_minimum_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5531941Z test_nnc_correctness_minimum_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5532149Z test_nnc_correctness_minimum_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5532358Z test_nnc_correctness_minimum_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5532561Z test_nnc_correctness_minimum_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5532768Z test_nnc_correctness_minimum_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5532973Z test_nnc_correctness_minimum_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5533175Z test_nnc_correctness_minimum_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5533382Z test_nnc_correctness_minimum_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5533588Z test_nnc_correctness_minimum_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5533794Z test_nnc_correctness_mm_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5533997Z test_nnc_correctness_mm_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5534229Z test_nnc_correctness_mm_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5534438Z test_nnc_correctness_mm_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5534641Z test_nnc_correctness_mm_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5534843Z test_nnc_correctness_mm_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5535083Z test_nnc_correctness_mm_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5535285Z test_nnc_correctness_mm_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5535487Z test_nnc_correctness_mm_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5535687Z test_nnc_correctness_mm_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5535894Z test_nnc_correctness_mode_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5536097Z test_nnc_correctness_mode_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5536310Z test_nnc_correctness_mode_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5536500Z test_nnc_correctness_mode_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5536710Z test_nnc_correctness_mode_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5536914Z test_nnc_correctness_mode_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5537118Z test_nnc_correctness_mode_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5537322Z test_nnc_correctness_mode_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5537525Z test_nnc_correctness_mode_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5537729Z test_nnc_correctness_mode_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5537940Z test_nnc_correctness_movedim_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5538147Z test_nnc_correctness_movedim_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5538362Z test_nnc_correctness_movedim_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5538578Z test_nnc_correctness_movedim_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5538916Z test_nnc_correctness_movedim_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5539168Z test_nnc_correctness_movedim_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5539381Z test_nnc_correctness_movedim_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5539590Z test_nnc_correctness_movedim_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5539797Z test_nnc_correctness_movedim_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5540034Z test_nnc_correctness_movedim_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5540233Z test_nnc_correctness_movedim_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5540438Z test_nnc_correctness_movedim_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5540646Z test_nnc_correctness_movedim_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5540855Z test_nnc_correctness_msort_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5541059Z test_nnc_correctness_msort_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5541272Z test_nnc_correctness_msort_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5541470Z test_nnc_correctness_msort_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5541673Z test_nnc_correctness_msort_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5541884Z test_nnc_correctness_msort_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5542093Z test_nnc_correctness_msort_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5542293Z test_nnc_correctness_msort_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5542495Z test_nnc_correctness_msort_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5542703Z test_nnc_correctness_msort_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5542912Z test_nnc_correctness_mul_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5543116Z test_nnc_correctness_mul_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5543327Z test_nnc_correctness_mul_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5543535Z test_nnc_correctness_mul_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5543734Z test_nnc_correctness_mul_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5543966Z test_nnc_correctness_mul_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5544167Z test_nnc_correctness_mul_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5544363Z test_nnc_correctness_mul_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5544569Z test_nnc_correctness_mul_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5544801Z test_nnc_correctness_mul_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5545005Z test_nnc_correctness_mul_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5545210Z test_nnc_correctness_mul_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5545410Z test_nnc_correctness_mul_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5545626Z test_nnc_correctness_multinomial_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5545842Z test_nnc_correctness_multinomial_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5546047Z test_nnc_correctness_multinomial_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5546254Z test_nnc_correctness_mv_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5546464Z test_nnc_correctness_mv_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5546673Z test_nnc_correctness_mv_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5546876Z test_nnc_correctness_mv_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5547079Z test_nnc_correctness_mv_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5547284Z test_nnc_correctness_mv_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5547485Z test_nnc_correctness_mv_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5547684Z test_nnc_correctness_mv_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5547884Z test_nnc_correctness_mv_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5548086Z test_nnc_correctness_mv_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5548351Z test_nnc_correctness_mvlgamma_mvlgamma_p_1_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5548582Z test_nnc_correctness_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5548836Z test_nnc_correctness_mvlgamma_mvlgamma_p_1_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5549059Z test_nnc_correctness_mvlgamma_mvlgamma_p_1_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5549275Z test_nnc_correctness_mvlgamma_mvlgamma_p_1_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5549487Z test_nnc_correctness_mvlgamma_mvlgamma_p_1_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5549741Z test_nnc_correctness_mvlgamma_mvlgamma_p_1_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5549967Z test_nnc_correctness_mvlgamma_mvlgamma_p_1_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5550192Z test_nnc_correctness_mvlgamma_mvlgamma_p_3_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5550416Z test_nnc_correctness_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5550633Z test_nnc_correctness_mvlgamma_mvlgamma_p_3_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5550853Z test_nnc_correctness_mvlgamma_mvlgamma_p_3_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5551060Z test_nnc_correctness_mvlgamma_mvlgamma_p_3_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5551274Z test_nnc_correctness_mvlgamma_mvlgamma_p_3_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5551494Z test_nnc_correctness_mvlgamma_mvlgamma_p_3_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5551716Z test_nnc_correctness_mvlgamma_mvlgamma_p_3_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5551939Z test_nnc_correctness_mvlgamma_mvlgamma_p_5_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5552165Z test_nnc_correctness_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5552388Z test_nnc_correctness_mvlgamma_mvlgamma_p_5_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5552604Z test_nnc_correctness_mvlgamma_mvlgamma_p_5_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5552816Z test_nnc_correctness_mvlgamma_mvlgamma_p_5_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5553033Z test_nnc_correctness_mvlgamma_mvlgamma_p_5_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5553251Z test_nnc_correctness_mvlgamma_mvlgamma_p_5_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5553501Z test_nnc_correctness_mvlgamma_mvlgamma_p_5_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5553705Z test_nnc_correctness_nan_to_num_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5553913Z test_nnc_correctness_nan_to_num_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5554124Z test_nnc_correctness_nan_to_num_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5554369Z test_nnc_correctness_nan_to_num_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5554586Z test_nnc_correctness_nan_to_num_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5554797Z test_nnc_correctness_nan_to_num_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5555000Z test_nnc_correctness_nan_to_num_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5555208Z test_nnc_correctness_nan_to_num_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5555415Z test_nnc_correctness_nan_to_num_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5555625Z test_nnc_correctness_nan_to_num_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5555840Z test_nnc_correctness_nanmean_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5556050Z test_nnc_correctness_nanmean_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5556244Z test_nnc_correctness_nanmean_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5556454Z test_nnc_correctness_nanmean_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5556665Z test_nnc_correctness_nanmedian_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5556880Z test_nnc_correctness_nanmedian_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5557096Z test_nnc_correctness_nanmedian_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5557305Z test_nnc_correctness_nanmedian_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5557509Z test_nnc_correctness_nanmedian_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5557717Z test_nnc_correctness_nanmedian_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5557928Z test_nnc_correctness_nanmedian_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5558133Z test_nnc_correctness_nanmedian_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5558377Z test_nnc_correctness_nanquantile_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5558581Z test_nnc_correctness_nanquantile_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5558786Z test_nnc_correctness_nansum_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5558991Z test_nnc_correctness_nansum_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5559229Z test_nnc_correctness_nansum_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5559429Z test_nnc_correctness_nansum_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5559639Z test_nnc_correctness_nansum_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5559846Z test_nnc_correctness_nansum_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5560046Z test_nnc_correctness_nansum_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5560242Z test_nnc_correctness_nansum_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5560449Z test_nnc_correctness_nansum_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5560655Z test_nnc_correctness_nansum_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5560855Z test_nnc_correctness_narrow_copy_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5561066Z test_nnc_correctness_narrow_copy_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5561283Z test_nnc_correctness_narrow_copy_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5561499Z test_nnc_correctness_narrow_copy_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5561718Z test_nnc_correctness_narrow_copy_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5561933Z test_nnc_correctness_narrow_copy_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5562146Z test_nnc_correctness_narrow_copy_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5562351Z test_nnc_correctness_narrow_copy_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5562563Z test_nnc_correctness_narrow_copy_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5562778Z test_nnc_correctness_narrow_copy_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5563013Z test_nnc_correctness_narrow_copy_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5563224Z test_nnc_correctness_narrow_copy_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5563423Z test_nnc_correctness_narrow_copy_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5563631Z test_nnc_correctness_narrow_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5563838Z test_nnc_correctness_narrow_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5564079Z test_nnc_correctness_narrow_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5564294Z test_nnc_correctness_narrow_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5564508Z test_nnc_correctness_narrow_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5564717Z test_nnc_correctness_narrow_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5564924Z test_nnc_correctness_narrow_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5565129Z test_nnc_correctness_narrow_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5565333Z test_nnc_correctness_narrow_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5565537Z test_nnc_correctness_narrow_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5565734Z test_nnc_correctness_narrow_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5565938Z test_nnc_correctness_narrow_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5566141Z test_nnc_correctness_narrow_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5566365Z test_nnc_correctness_native_batch_norm_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5566586Z test_nnc_correctness_native_batch_norm_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5566805Z test_nnc_correctness_native_batch_norm_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5567034Z test_nnc_correctness_native_dropout_backward_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5567260Z test_nnc_correctness_native_dropout_backward_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5567485Z test_nnc_correctness_native_dropout_backward_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5567716Z test_nnc_correctness_native_dropout_backward_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5567968Z test_nnc_correctness_native_dropout_backward_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5568194Z test_nnc_correctness_native_dropout_backward_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5568401Z test_nnc_correctness_native_dropout_backward_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5568624Z test_nnc_correctness_native_dropout_backward_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5568886Z test_nnc_correctness_native_dropout_backward_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5569107Z test_nnc_correctness_native_dropout_backward_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5569327Z test_nnc_correctness_native_layer_norm_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5569549Z test_nnc_correctness_native_layer_norm_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5569766Z test_nnc_correctness_native_layer_norm_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5569979Z test_nnc_correctness_ne_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5570183Z test_nnc_correctness_ne_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5570399Z test_nnc_correctness_ne_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5570607Z test_nnc_correctness_ne_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5570816Z test_nnc_correctness_ne_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5571007Z test_nnc_correctness_ne_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5571215Z test_nnc_correctness_ne_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5571422Z test_nnc_correctness_ne_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5571627Z test_nnc_correctness_ne_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5571833Z test_nnc_correctness_ne_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5572035Z test_nnc_correctness_ne_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5572242Z test_nnc_correctness_ne_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5572453Z test_nnc_correctness_neg_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5572704Z test_nnc_correctness_neg_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5572918Z test_nnc_correctness_neg_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5573123Z test_nnc_correctness_neg_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5573317Z test_nnc_correctness_neg_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5573518Z test_nnc_correctness_neg_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5573753Z test_nnc_correctness_neg_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5573959Z test_nnc_correctness_neg_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5574162Z test_nnc_correctness_neg_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5574369Z test_nnc_correctness_neg_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5574574Z test_nnc_correctness_neg_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5574784Z test_nnc_correctness_neg_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5574958Z test_nnc_correctness_new_empty_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5575126Z test_nnc_correctness_new_empty_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5575285Z test_nnc_correctness_new_empty_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5575457Z test_nnc_correctness_new_empty_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5575625Z test_nnc_correctness_new_empty_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5575793Z test_nnc_correctness_new_empty_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5575955Z test_nnc_correctness_new_empty_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5576116Z test_nnc_correctness_new_empty_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5576279Z test_nnc_correctness_new_empty_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5576443Z test_nnc_correctness_new_empty_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5576608Z test_nnc_correctness_new_empty_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5576756Z test_nnc_correctness_new_empty_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5576921Z test_nnc_correctness_new_empty_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5577138Z test_nnc_correctness_new_empty_strided_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: Expected: new_empty_strided is not comparable (0.001s) 2022-11-23T01:39:02.5577350Z test_nnc_correctness_new_empty_strided_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: Expected: new_empty_strided is not comparable (0.001s) 2022-11-23T01:39:02.5577569Z test_nnc_correctness_new_empty_strided_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: Expected: new_empty_strided is not comparable (0.001s) 2022-11-23T01:39:02.5577813Z test_nnc_correctness_new_empty_strided_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: Expected: new_empty_strided is not comparable (0.001s) 2022-11-23T01:39:02.5578023Z test_nnc_correctness_new_empty_strided_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: Expected: new_empty_strided is not comparable (0.001s) 2022-11-23T01:39:02.5578240Z test_nnc_correctness_new_empty_strided_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: Expected: new_empty_strided is not comparable (0.001s) 2022-11-23T01:39:02.5578451Z test_nnc_correctness_new_empty_strided_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Expected: new_empty_strided is not comparable (0.001s) 2022-11-23T01:39:02.5578692Z test_nnc_correctness_new_empty_strided_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: Expected: new_empty_strided is not comparable (0.001s) 2022-11-23T01:39:02.5579051Z test_nnc_correctness_new_empty_strided_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: Expected: new_empty_strided is not comparable (0.001s) 2022-11-23T01:39:02.5579251Z test_nnc_correctness_new_empty_strided_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: Expected: new_empty_strided is not comparable (0.001s) 2022-11-23T01:39:02.5579454Z test_nnc_correctness_new_empty_strided_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: Expected: new_empty_strided is not comparable (0.001s) 2022-11-23T01:39:02.5579666Z test_nnc_correctness_new_empty_strided_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: Expected: new_empty_strided is not comparable (0.001s) 2022-11-23T01:39:02.5579874Z test_nnc_correctness_new_empty_strided_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: Expected: new_empty_strided is not comparable (0.001s) 2022-11-23T01:39:02.5580090Z test_nnc_correctness_new_full_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5580304Z test_nnc_correctness_new_full_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5580521Z test_nnc_correctness_new_full_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5580737Z test_nnc_correctness_new_full_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5580953Z test_nnc_correctness_new_full_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5581164Z test_nnc_correctness_new_full_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5581371Z test_nnc_correctness_new_full_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5581570Z test_nnc_correctness_new_full_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5581776Z test_nnc_correctness_new_full_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5581984Z test_nnc_correctness_new_full_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5582184Z test_nnc_correctness_new_full_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5582387Z test_nnc_correctness_new_full_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s) 2022-11-23T01:39:02.5582592Z test_nnc_correctness_new_full_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5582854Z test_nnc_correctness_new_ones_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5583060Z test_nnc_correctness_new_ones_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5583274Z test_nnc_correctness_new_ones_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5583489Z test_nnc_correctness_new_ones_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5583738Z test_nnc_correctness_new_ones_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5583934Z test_nnc_correctness_new_ones_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5584139Z test_nnc_correctness_new_ones_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5584349Z test_nnc_correctness_new_ones_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5584554Z test_nnc_correctness_new_ones_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5584758Z test_nnc_correctness_new_ones_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5584959Z test_nnc_correctness_new_ones_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5585168Z test_nnc_correctness_new_ones_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5585370Z test_nnc_correctness_new_ones_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5585580Z test_nnc_correctness_new_zeros_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5585782Z test_nnc_correctness_new_zeros_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5585997Z test_nnc_correctness_new_zeros_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5586203Z test_nnc_correctness_new_zeros_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5586421Z test_nnc_correctness_new_zeros_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5586632Z test_nnc_correctness_new_zeros_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5586840Z test_nnc_correctness_new_zeros_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5587053Z test_nnc_correctness_new_zeros_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5587263Z test_nnc_correctness_new_zeros_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5587466Z test_nnc_correctness_new_zeros_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5587704Z test_nnc_correctness_new_zeros_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5587912Z test_nnc_correctness_new_zeros_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5588116Z test_nnc_correctness_new_zeros_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5588412Z test_nnc_correctness_nextafter_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5588703Z test_nnc_correctness_nextafter_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5588901Z test_nnc_correctness_nextafter_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5589149Z test_nnc_correctness_nn_functional__scaled_dot_product_attention_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5589396Z test_nnc_correctness_nn_functional__scaled_dot_product_attention_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5589643Z test_nnc_correctness_nn_functional__scaled_dot_product_attention_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5589885Z test_nnc_correctness_nn_functional_adaptive_avg_pool1d_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5590127Z test_nnc_correctness_nn_functional_adaptive_avg_pool1d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5590364Z test_nnc_correctness_nn_functional_adaptive_avg_pool1d_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5590600Z test_nnc_correctness_nn_functional_adaptive_avg_pool2d_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5590834Z test_nnc_correctness_nn_functional_adaptive_avg_pool2d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5591067Z test_nnc_correctness_nn_functional_adaptive_avg_pool2d_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5591306Z test_nnc_correctness_nn_functional_adaptive_avg_pool3d_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5591536Z test_nnc_correctness_nn_functional_adaptive_avg_pool3d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5591769Z test_nnc_correctness_nn_functional_adaptive_avg_pool3d_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5591992Z test_nnc_correctness_nn_functional_adaptive_max_pool1d_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5592231Z test_nnc_correctness_nn_functional_adaptive_max_pool1d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5592493Z test_nnc_correctness_nn_functional_adaptive_max_pool1d_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5592725Z test_nnc_correctness_nn_functional_adaptive_max_pool2d_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5593078Z test_nnc_correctness_nn_functional_adaptive_max_pool2d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5593310Z test_nnc_correctness_nn_functional_adaptive_max_pool2d_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5593576Z test_nnc_correctness_nn_functional_adaptive_max_pool3d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5593811Z test_nnc_correctness_nn_functional_adaptive_max_pool3d_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5594043Z test_nnc_correctness_nn_functional_alpha_dropout_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5594277Z test_nnc_correctness_nn_functional_alpha_dropout_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5594508Z test_nnc_correctness_nn_functional_alpha_dropout_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5594743Z test_nnc_correctness_nn_functional_avg_pool1d_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5595059Z test_nnc_correctness_nn_functional_avg_pool1d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5595293Z test_nnc_correctness_nn_functional_avg_pool1d_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5595517Z test_nnc_correctness_nn_functional_avg_pool1d_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5595744Z test_nnc_correctness_nn_functional_avg_pool2d_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5595973Z test_nnc_correctness_nn_functional_avg_pool2d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5596197Z test_nnc_correctness_nn_functional_avg_pool2d_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5596422Z test_nnc_correctness_nn_functional_avg_pool2d_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5596649Z test_nnc_correctness_nn_functional_avg_pool3d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5596867Z test_nnc_correctness_nn_functional_avg_pool3d_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5597093Z test_nnc_correctness_nn_functional_avg_pool3d_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5597280Z test_nnc_correctness_nn_functional_batch_norm_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5597537Z test_nnc_correctness_nn_functional_batch_norm_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5597756Z test_nnc_correctness_nn_functional_batch_norm_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5597928Z test_nnc_correctness_nn_functional_bilinear_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5598152Z test_nnc_correctness_nn_functional_bilinear_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5598399Z test_nnc_correctness_nn_functional_bilinear_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5598626Z test_nnc_correctness_nn_functional_bilinear_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5598843Z test_nnc_correctness_nn_functional_bilinear_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5599055Z test_nnc_correctness_nn_functional_bilinear_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5599277Z test_nnc_correctness_nn_functional_bilinear_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5599500Z test_nnc_correctness_nn_functional_bilinear_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5599692Z test_nnc_correctness_nn_functional_binary_cross_entropy_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5599883Z test_nnc_correctness_nn_functional_binary_cross_entropy_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5600132Z test_nnc_correctness_nn_functional_binary_cross_entropy_with_logits_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5600379Z test_nnc_correctness_nn_functional_binary_cross_entropy_with_logits_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5600614Z test_nnc_correctness_nn_functional_binary_cross_entropy_with_logits_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5600844Z test_nnc_correctness_nn_functional_celu_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5601065Z test_nnc_correctness_nn_functional_celu_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5601285Z test_nnc_correctness_nn_functional_celu_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5601508Z test_nnc_correctness_nn_functional_conv1d_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5601735Z test_nnc_correctness_nn_functional_conv1d_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5601961Z test_nnc_correctness_nn_functional_conv1d_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5602211Z test_nnc_correctness_nn_functional_conv1d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5602427Z test_nnc_correctness_nn_functional_conv1d_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5602645Z test_nnc_correctness_nn_functional_conv1d_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5602872Z test_nnc_correctness_nn_functional_conv2d_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5603137Z test_nnc_correctness_nn_functional_conv2d_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5603349Z test_nnc_correctness_nn_functional_conv2d_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5603571Z test_nnc_correctness_nn_functional_conv2d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5603796Z test_nnc_correctness_nn_functional_conv2d_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5604067Z test_nnc_correctness_nn_functional_conv2d_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5604306Z test_nnc_correctness_nn_functional_conv_transpose1d_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5604550Z test_nnc_correctness_nn_functional_conv_transpose1d_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5604787Z test_nnc_correctness_nn_functional_conv_transpose1d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5605021Z test_nnc_correctness_nn_functional_conv_transpose1d_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5605254Z test_nnc_correctness_nn_functional_conv_transpose1d_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5605492Z test_nnc_correctness_nn_functional_conv_transpose2d_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5605833Z test_nnc_correctness_nn_functional_conv_transpose2d_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5606186Z test_nnc_correctness_nn_functional_conv_transpose2d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5606419Z test_nnc_correctness_nn_functional_conv_transpose2d_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5606640Z test_nnc_correctness_nn_functional_conv_transpose2d_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5606879Z test_nnc_correctness_nn_functional_conv_transpose3d_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5607119Z test_nnc_correctness_nn_functional_conv_transpose3d_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5607399Z test_nnc_correctness_nn_functional_conv_transpose3d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5607631Z test_nnc_correctness_nn_functional_conv_transpose3d_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5607859Z test_nnc_correctness_nn_functional_conv_transpose3d_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5608100Z test_nnc_correctness_nn_functional_cosine_embedding_loss_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5608366Z test_nnc_correctness_nn_functional_cosine_embedding_loss_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5608606Z test_nnc_correctness_nn_functional_cosine_embedding_loss_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5608837Z test_nnc_correctness_nn_functional_cosine_embedding_loss_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5609077Z test_nnc_correctness_nn_functional_cosine_embedding_loss_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5609312Z test_nnc_correctness_nn_functional_cosine_embedding_loss_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5609551Z test_nnc_correctness_nn_functional_cosine_embedding_loss_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5609776Z test_nnc_correctness_nn_functional_cosine_embedding_loss_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5610010Z test_nnc_correctness_nn_functional_cosine_embedding_loss_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5610246Z test_nnc_correctness_nn_functional_cosine_similarity_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5610483Z test_nnc_correctness_nn_functional_cosine_similarity_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5610719Z test_nnc_correctness_nn_functional_cosine_similarity_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5610949Z test_nnc_correctness_nn_functional_cross_entropy_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5611180Z test_nnc_correctness_nn_functional_cross_entropy_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5611408Z test_nnc_correctness_nn_functional_cross_entropy_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5611632Z test_nnc_correctness_nn_functional_ctc_loss_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5611851Z test_nnc_correctness_nn_functional_ctc_loss_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5612111Z test_nnc_correctness_nn_functional_dropout2d_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5612338Z test_nnc_correctness_nn_functional_dropout2d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5612564Z test_nnc_correctness_nn_functional_dropout2d_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5612779Z test_nnc_correctness_nn_functional_dropout3d_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5613027Z test_nnc_correctness_nn_functional_dropout3d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5613259Z test_nnc_correctness_nn_functional_dropout3d_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5613485Z test_nnc_correctness_nn_functional_dropout_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5613709Z test_nnc_correctness_nn_functional_dropout_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5613930Z test_nnc_correctness_nn_functional_dropout_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5614157Z test_nnc_correctness_nn_functional_elu_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5614381Z test_nnc_correctness_nn_functional_elu_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5614600Z test_nnc_correctness_nn_functional_elu_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5614831Z test_nnc_correctness_nn_functional_embedding_bag_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5615062Z test_nnc_correctness_nn_functional_embedding_bag_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5615288Z test_nnc_correctness_nn_functional_embedding_bag_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5615505Z test_nnc_correctness_nn_functional_embedding_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5615735Z test_nnc_correctness_nn_functional_embedding_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5615965Z test_nnc_correctness_nn_functional_embedding_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5616187Z test_nnc_correctness_nn_functional_embedding_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5616438Z test_nnc_correctness_nn_functional_feature_alpha_dropout_with_train_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5616690Z test_nnc_correctness_nn_functional_feature_alpha_dropout_with_train_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5616967Z test_nnc_correctness_nn_functional_feature_alpha_dropout_with_train_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5617222Z test_nnc_correctness_nn_functional_feature_alpha_dropout_without_train_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5617472Z test_nnc_correctness_nn_functional_feature_alpha_dropout_without_train_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5617756Z test_nnc_correctness_nn_functional_feature_alpha_dropout_without_train_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5618013Z test_nnc_correctness_nn_functional_feature_alpha_dropout_without_train_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5618262Z test_nnc_correctness_nn_functional_feature_alpha_dropout_without_train_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5618513Z test_nnc_correctness_nn_functional_feature_alpha_dropout_without_train_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5618877Z test_nnc_correctness_nn_functional_feature_alpha_dropout_without_train_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5619116Z test_nnc_correctness_nn_functional_feature_alpha_dropout_without_train_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5619365Z test_nnc_correctness_nn_functional_feature_alpha_dropout_without_train_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5619613Z test_nnc_correctness_nn_functional_feature_alpha_dropout_without_train_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5619859Z test_nnc_correctness_nn_functional_feature_alpha_dropout_without_train_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5620105Z test_nnc_correctness_nn_functional_feature_alpha_dropout_without_train_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5620346Z test_nnc_correctness_nn_functional_fractional_max_pool2d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5620576Z test_nnc_correctness_nn_functional_fractional_max_pool2d_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5620815Z test_nnc_correctness_nn_functional_fractional_max_pool3d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5621051Z test_nnc_correctness_nn_functional_fractional_max_pool3d_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5621288Z test_nnc_correctness_nn_functional_gaussian_nll_loss_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5621572Z test_nnc_correctness_nn_functional_gaussian_nll_loss_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5621804Z test_nnc_correctness_nn_functional_gaussian_nll_loss_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5622028Z test_nnc_correctness_nn_functional_gelu_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5622250Z test_nnc_correctness_nn_functional_gelu_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5622461Z test_nnc_correctness_nn_functional_gelu_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5622720Z test_nnc_correctness_nn_functional_glu_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5622946Z test_nnc_correctness_nn_functional_glu_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5623168Z test_nnc_correctness_nn_functional_glu_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5623396Z test_nnc_correctness_nn_functional_grid_sample_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5623620Z test_nnc_correctness_nn_functional_grid_sample_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5623850Z test_nnc_correctness_nn_functional_group_norm_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5624082Z test_nnc_correctness_nn_functional_group_norm_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5624303Z test_nnc_correctness_nn_functional_group_norm_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5624535Z test_nnc_correctness_nn_functional_hardshrink_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5624760Z test_nnc_correctness_nn_functional_hardshrink_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5624981Z test_nnc_correctness_nn_functional_hardshrink_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5625206Z test_nnc_correctness_nn_functional_hardsigmoid_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5625438Z test_nnc_correctness_nn_functional_hardsigmoid_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5625663Z test_nnc_correctness_nn_functional_hardsigmoid_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5625892Z test_nnc_correctness_nn_functional_hardswish_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5626117Z test_nnc_correctness_nn_functional_hardswish_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5626366Z test_nnc_correctness_nn_functional_hardswish_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5626599Z test_nnc_correctness_nn_functional_hardtanh_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5626824Z test_nnc_correctness_nn_functional_hardtanh_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5627049Z test_nnc_correctness_nn_functional_hardtanh_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5627302Z test_nnc_correctness_nn_functional_hardtanh_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5627521Z test_nnc_correctness_nn_functional_hardtanh_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5627748Z test_nnc_correctness_nn_functional_hardtanh_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5627969Z test_nnc_correctness_nn_functional_hardtanh_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5628268Z test_nnc_correctness_nn_functional_hinge_embedding_loss_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5628511Z test_nnc_correctness_nn_functional_hinge_embedding_loss_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5628750Z test_nnc_correctness_nn_functional_hinge_embedding_loss_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5628982Z test_nnc_correctness_nn_functional_huber_loss_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5629207Z test_nnc_correctness_nn_functional_huber_loss_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5629433Z test_nnc_correctness_nn_functional_huber_loss_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5629658Z test_nnc_correctness_nn_functional_huber_loss_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5629891Z test_nnc_correctness_nn_functional_instance_norm_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5630125Z test_nnc_correctness_nn_functional_instance_norm_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5630353Z test_nnc_correctness_nn_functional_instance_norm_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5630593Z test_nnc_correctness_nn_functional_interpolate_area_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5630828Z test_nnc_correctness_nn_functional_interpolate_area_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5631069Z test_nnc_correctness_nn_functional_interpolate_bicubic_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5631334Z test_nnc_correctness_nn_functional_interpolate_bicubic_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5631576Z test_nnc_correctness_nn_functional_interpolate_bicubic_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5631814Z test_nnc_correctness_nn_functional_interpolate_bilinear_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5632051Z test_nnc_correctness_nn_functional_interpolate_bilinear_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5632316Z test_nnc_correctness_nn_functional_interpolate_bilinear_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5632554Z test_nnc_correctness_nn_functional_interpolate_linear_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5632790Z test_nnc_correctness_nn_functional_interpolate_linear_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5633026Z test_nnc_correctness_nn_functional_interpolate_linear_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5633264Z test_nnc_correctness_nn_functional_interpolate_nearest_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5633504Z test_nnc_correctness_nn_functional_interpolate_nearest_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5633743Z test_nnc_correctness_nn_functional_interpolate_nearest_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5633983Z test_nnc_correctness_nn_functional_interpolate_nearest_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5634227Z test_nnc_correctness_nn_functional_interpolate_trilinear_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5634454Z test_nnc_correctness_nn_functional_interpolate_trilinear_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5634693Z test_nnc_correctness_nn_functional_interpolate_trilinear_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5634919Z test_nnc_correctness_nn_functional_kl_div_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5635142Z test_nnc_correctness_nn_functional_kl_div_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5635360Z test_nnc_correctness_nn_functional_kl_div_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5635585Z test_nnc_correctness_nn_functional_l1_loss_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5635815Z test_nnc_correctness_nn_functional_l1_loss_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5636068Z test_nnc_correctness_nn_functional_l1_loss_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5636291Z test_nnc_correctness_nn_functional_l1_loss_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5636504Z test_nnc_correctness_nn_functional_l1_loss_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5636718Z test_nnc_correctness_nn_functional_l1_loss_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5636987Z test_nnc_correctness_nn_functional_layer_norm_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5637205Z test_nnc_correctness_nn_functional_layer_norm_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5637435Z test_nnc_correctness_nn_functional_layer_norm_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5637666Z test_nnc_correctness_nn_functional_leaky_relu_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5637893Z test_nnc_correctness_nn_functional_leaky_relu_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5638123Z test_nnc_correctness_nn_functional_leaky_relu_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5638346Z test_nnc_correctness_nn_functional_linear_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5638576Z test_nnc_correctness_nn_functional_linear_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5638805Z test_nnc_correctness_nn_functional_linear_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5639025Z test_nnc_correctness_nn_functional_linear_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5639244Z test_nnc_correctness_nn_functional_linear_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5639466Z test_nnc_correctness_nn_functional_linear_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5639687Z test_nnc_correctness_nn_functional_linear_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5639910Z test_nnc_correctness_nn_functional_linear_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5640118Z test_nnc_correctness_nn_functional_linear_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5640336Z test_nnc_correctness_nn_functional_linear_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5640578Z test_nnc_correctness_nn_functional_local_response_norm_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5640845Z test_nnc_correctness_nn_functional_local_response_norm_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5641084Z test_nnc_correctness_nn_functional_local_response_norm_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5641317Z test_nnc_correctness_nn_functional_local_response_norm_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5641550Z test_nnc_correctness_nn_functional_logsigmoid_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5641805Z test_nnc_correctness_nn_functional_logsigmoid_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5642035Z test_nnc_correctness_nn_functional_logsigmoid_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5642272Z test_nnc_correctness_nn_functional_margin_ranking_loss_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5642510Z test_nnc_correctness_nn_functional_margin_ranking_loss_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5642748Z test_nnc_correctness_nn_functional_margin_ranking_loss_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5642972Z test_nnc_correctness_nn_functional_margin_ranking_loss_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5643207Z test_nnc_correctness_nn_functional_margin_ranking_loss_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5643441Z test_nnc_correctness_nn_functional_margin_ranking_loss_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5643673Z test_nnc_correctness_nn_functional_margin_ranking_loss_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5643901Z test_nnc_correctness_nn_functional_margin_ranking_loss_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5644101Z test_nnc_correctness_nn_functional_max_pool1d_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: Works on some configs (0.001s) 2022-11-23T01:39:02.5644332Z test_nnc_correctness_nn_functional_max_pool1d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5644556Z test_nnc_correctness_nn_functional_max_pool1d_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5644786Z test_nnc_correctness_nn_functional_max_pool2d_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5645008Z test_nnc_correctness_nn_functional_max_pool2d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5645230Z test_nnc_correctness_nn_functional_max_pool2d_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5645456Z test_nnc_correctness_nn_functional_max_pool3d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5645713Z test_nnc_correctness_nn_functional_max_pool3d_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5645929Z test_nnc_correctness_nn_functional_max_unpool1d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5646158Z test_nnc_correctness_nn_functional_max_unpool1d_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5646390Z test_nnc_correctness_nn_functional_max_unpool1d_grad_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5646651Z test_nnc_correctness_nn_functional_max_unpool1d_grad_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5646881Z test_nnc_correctness_nn_functional_max_unpool2d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5647105Z test_nnc_correctness_nn_functional_max_unpool2d_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5647334Z test_nnc_correctness_nn_functional_max_unpool2d_grad_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5647567Z test_nnc_correctness_nn_functional_max_unpool2d_grad_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5647794Z test_nnc_correctness_nn_functional_max_unpool3d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5648014Z test_nnc_correctness_nn_functional_max_unpool3d_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5648243Z test_nnc_correctness_nn_functional_max_unpool3d_grad_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5648472Z test_nnc_correctness_nn_functional_max_unpool3d_grad_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5648693Z test_nnc_correctness_nn_functional_mish_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5648901Z test_nnc_correctness_nn_functional_mish_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5649125Z test_nnc_correctness_nn_functional_mish_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5649348Z test_nnc_correctness_nn_functional_mse_loss_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5649566Z test_nnc_correctness_nn_functional_mse_loss_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5649778Z test_nnc_correctness_nn_functional_mse_loss_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5650009Z test_nnc_correctness_nn_functional_multi_margin_loss_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5650267Z test_nnc_correctness_nn_functional_multi_margin_loss_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5650505Z test_nnc_correctness_nn_functional_multilabel_margin_loss_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5650743Z test_nnc_correctness_nn_functional_multilabel_margin_loss_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5650986Z test_nnc_correctness_nn_functional_multilabel_soft_margin_loss_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5651266Z test_nnc_correctness_nn_functional_multilabel_soft_margin_loss_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5651505Z test_nnc_correctness_nn_functional_multilabel_soft_margin_loss_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5651731Z test_nnc_correctness_nn_functional_nll_loss_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5651940Z test_nnc_correctness_nn_functional_nll_loss_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5652162Z test_nnc_correctness_nn_functional_nll_loss_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5652389Z test_nnc_correctness_nn_functional_normalize_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5652621Z test_nnc_correctness_nn_functional_normalize_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5652850Z test_nnc_correctness_nn_functional_normalize_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5653076Z test_nnc_correctness_nn_functional_normalize_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5653300Z test_nnc_correctness_nn_functional_normalize_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5653522Z test_nnc_correctness_nn_functional_one_hot_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5653753Z test_nnc_correctness_nn_functional_pad_circular_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5653979Z test_nnc_correctness_nn_functional_pad_circular_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5654210Z test_nnc_correctness_nn_functional_pad_circular_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5654439Z test_nnc_correctness_nn_functional_pad_circular_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5654656Z test_nnc_correctness_nn_functional_pad_circular_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5654874Z test_nnc_correctness_nn_functional_pad_circular_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5655132Z test_nnc_correctness_nn_functional_pad_circular_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5655358Z test_nnc_correctness_nn_functional_pad_circular_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5655577Z test_nnc_correctness_nn_functional_pad_circular_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5655804Z test_nnc_correctness_nn_functional_pad_circular_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5656059Z test_nnc_correctness_nn_functional_pad_circular_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5656285Z test_nnc_correctness_nn_functional_pad_circular_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5656514Z test_nnc_correctness_nn_functional_pad_constant_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5656740Z test_nnc_correctness_nn_functional_pad_constant_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5656973Z test_nnc_correctness_nn_functional_pad_constant_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5657206Z test_nnc_correctness_nn_functional_pad_constant_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5657436Z test_nnc_correctness_nn_functional_pad_constant_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5657646Z test_nnc_correctness_nn_functional_pad_constant_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5657874Z test_nnc_correctness_nn_functional_pad_constant_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5658101Z test_nnc_correctness_nn_functional_pad_constant_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5658323Z test_nnc_correctness_nn_functional_pad_constant_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5658547Z test_nnc_correctness_nn_functional_pad_constant_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5658887Z test_nnc_correctness_nn_functional_pad_constant_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5659115Z test_nnc_correctness_nn_functional_pad_constant_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5659346Z test_nnc_correctness_nn_functional_pad_reflect_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5659579Z test_nnc_correctness_nn_functional_pad_reflect_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5659853Z test_nnc_correctness_nn_functional_pad_reflect_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5660084Z test_nnc_correctness_nn_functional_pad_reflect_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5660320Z test_nnc_correctness_nn_functional_pad_replicate_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5660543Z test_nnc_correctness_nn_functional_pad_replicate_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5660809Z test_nnc_correctness_nn_functional_pad_replicate_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5661044Z test_nnc_correctness_nn_functional_pad_replicate_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5661284Z test_nnc_correctness_nn_functional_pairwise_distance_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5661523Z test_nnc_correctness_nn_functional_pairwise_distance_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5661764Z test_nnc_correctness_nn_functional_pairwise_distance_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5662002Z test_nnc_correctness_nn_functional_pairwise_distance_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5662242Z test_nnc_correctness_nn_functional_pairwise_distance_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5662475Z test_nnc_correctness_nn_functional_pairwise_distance_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5662706Z test_nnc_correctness_nn_functional_pairwise_distance_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5662939Z test_nnc_correctness_nn_functional_pairwise_distance_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5663213Z test_nnc_correctness_nn_functional_pairwise_distance_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5663479Z test_nnc_correctness_nn_functional_pairwise_distance_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5663703Z test_nnc_correctness_nn_functional_pairwise_distance_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5663926Z test_nnc_correctness_nn_functional_pdist_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5664216Z test_nnc_correctness_nn_functional_pdist_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5664453Z test_nnc_correctness_nn_functional_pixel_shuffle_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5664790Z test_nnc_correctness_nn_functional_pixel_shuffle_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5665144Z test_nnc_correctness_nn_functional_pixel_shuffle_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5665417Z test_nnc_correctness_nn_functional_pixel_shuffle_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5665678Z test_nnc_correctness_nn_functional_pixel_shuffle_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5665943Z test_nnc_correctness_nn_functional_pixel_shuffle_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5666239Z test_nnc_correctness_nn_functional_pixel_shuffle_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5666506Z test_nnc_correctness_nn_functional_pixel_shuffle_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5666769Z test_nnc_correctness_nn_functional_pixel_shuffle_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5667027Z test_nnc_correctness_nn_functional_pixel_shuffle_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5667279Z test_nnc_correctness_nn_functional_pixel_shuffle_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5667543Z test_nnc_correctness_nn_functional_pixel_shuffle_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5667816Z test_nnc_correctness_nn_functional_pixel_unshuffle_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5668080Z test_nnc_correctness_nn_functional_pixel_unshuffle_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5668426Z test_nnc_correctness_nn_functional_pixel_unshuffle_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5668699Z test_nnc_correctness_nn_functional_pixel_unshuffle_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5668968Z test_nnc_correctness_nn_functional_pixel_unshuffle_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5669238Z test_nnc_correctness_nn_functional_pixel_unshuffle_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5669506Z test_nnc_correctness_nn_functional_pixel_unshuffle_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5669771Z test_nnc_correctness_nn_functional_pixel_unshuffle_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5670036Z test_nnc_correctness_nn_functional_pixel_unshuffle_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5670301Z test_nnc_correctness_nn_functional_pixel_unshuffle_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5670597Z test_nnc_correctness_nn_functional_pixel_unshuffle_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5670849Z test_nnc_correctness_nn_functional_pixel_unshuffle_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5671118Z test_nnc_correctness_nn_functional_poisson_nll_loss_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5671499Z test_nnc_correctness_nn_functional_poisson_nll_loss_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5671773Z test_nnc_correctness_nn_functional_poisson_nll_loss_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5672001Z test_nnc_correctness_nn_functional_poisson_nll_loss_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5672227Z test_nnc_correctness_nn_functional_poisson_nll_loss_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5672457Z test_nnc_correctness_nn_functional_poisson_nll_loss_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5672686Z test_nnc_correctness_nn_functional_poisson_nll_loss_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5672913Z test_nnc_correctness_nn_functional_poisson_nll_loss_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5673139Z test_nnc_correctness_nn_functional_prelu_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5673358Z test_nnc_correctness_nn_functional_prelu_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5673574Z test_nnc_correctness_nn_functional_prelu_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5673786Z test_nnc_correctness_nn_functional_relu6_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5674006Z test_nnc_correctness_nn_functional_relu6_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5674219Z test_nnc_correctness_nn_functional_relu6_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5674438Z test_nnc_correctness_nn_functional_relu6_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5674659Z test_nnc_correctness_nn_functional_relu6_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5674879Z test_nnc_correctness_nn_functional_relu6_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5675097Z test_nnc_correctness_nn_functional_relu6_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5675316Z test_nnc_correctness_nn_functional_relu6_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5675559Z test_nnc_correctness_nn_functional_relu_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5675781Z test_nnc_correctness_nn_functional_relu_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5676002Z test_nnc_correctness_nn_functional_relu_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5676220Z test_nnc_correctness_nn_functional_relu_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5676451Z test_nnc_correctness_nn_functional_relu_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5676671Z test_nnc_correctness_nn_functional_relu_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5676887Z test_nnc_correctness_nn_functional_relu_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5677097Z test_nnc_correctness_nn_functional_relu_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5677322Z test_nnc_correctness_nn_functional_rrelu_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5677543Z test_nnc_correctness_nn_functional_rrelu_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5677761Z test_nnc_correctness_nn_functional_rrelu_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5677979Z test_nnc_correctness_nn_functional_selu_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5678196Z test_nnc_correctness_nn_functional_selu_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5678414Z test_nnc_correctness_nn_functional_selu_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5678647Z test_nnc_correctness_nn_functional_silu_complex_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5678879Z test_nnc_correctness_nn_functional_silu_complex_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5679100Z test_nnc_correctness_nn_functional_silu_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5679302Z test_nnc_correctness_nn_functional_silu_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5679519Z test_nnc_correctness_nn_functional_silu_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5679748Z test_nnc_correctness_nn_functional_smooth_l1_loss_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5679975Z test_nnc_correctness_nn_functional_smooth_l1_loss_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5680232Z test_nnc_correctness_nn_functional_smooth_l1_loss_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5680457Z test_nnc_correctness_nn_functional_smooth_l1_loss_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5680689Z test_nnc_correctness_nn_functional_soft_margin_loss_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5680916Z test_nnc_correctness_nn_functional_soft_margin_loss_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5681174Z test_nnc_correctness_nn_functional_soft_margin_loss_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5681397Z test_nnc_correctness_nn_functional_softmin_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5681619Z test_nnc_correctness_nn_functional_softmin_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5681842Z test_nnc_correctness_nn_functional_softmin_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5682066Z test_nnc_correctness_nn_functional_softmin_with_dtype_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5682308Z test_nnc_correctness_nn_functional_softmin_with_dtype_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5682549Z test_nnc_correctness_nn_functional_softmin_with_dtype_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5682783Z test_nnc_correctness_nn_functional_softmin_with_dtype_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5683014Z test_nnc_correctness_nn_functional_softmin_with_dtype_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5683245Z test_nnc_correctness_nn_functional_softmin_with_dtype_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5683511Z test_nnc_correctness_nn_functional_softmin_with_dtype_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5683786Z test_nnc_correctness_nn_functional_softmin_with_dtype_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5684018Z test_nnc_correctness_nn_functional_softmin_with_dtype_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5684249Z test_nnc_correctness_nn_functional_softmin_with_dtype_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5684552Z test_nnc_correctness_nn_functional_softmin_with_dtype_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5684908Z test_nnc_correctness_nn_functional_softplus_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5685204Z test_nnc_correctness_nn_functional_softplus_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5685445Z test_nnc_correctness_nn_functional_softplus_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5685709Z test_nnc_correctness_nn_functional_softshrink_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5685971Z test_nnc_correctness_nn_functional_softshrink_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5686229Z test_nnc_correctness_nn_functional_softshrink_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5686520Z test_nnc_correctness_nn_functional_softsign_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5686787Z test_nnc_correctness_nn_functional_softsign_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5687051Z test_nnc_correctness_nn_functional_softsign_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5687305Z test_nnc_correctness_nn_functional_softsign_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5687554Z test_nnc_correctness_nn_functional_softsign_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5687805Z test_nnc_correctness_nn_functional_softsign_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5688066Z test_nnc_correctness_nn_functional_softsign_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5688316Z test_nnc_correctness_nn_functional_softsign_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5688550Z test_nnc_correctness_nn_functional_softsign_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5688807Z test_nnc_correctness_nn_functional_softsign_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5689063Z test_nnc_correctness_nn_functional_softsign_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5689325Z test_nnc_correctness_nn_functional_tanhshrink_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5689590Z test_nnc_correctness_nn_functional_tanhshrink_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5689855Z test_nnc_correctness_nn_functional_tanhshrink_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5690116Z test_nnc_correctness_nn_functional_tanhshrink_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5690372Z test_nnc_correctness_nn_functional_tanhshrink_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5690668Z test_nnc_correctness_nn_functional_tanhshrink_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5690916Z test_nnc_correctness_nn_functional_tanhshrink_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5691172Z test_nnc_correctness_nn_functional_tanhshrink_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5691430Z test_nnc_correctness_nn_functional_tanhshrink_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5691717Z test_nnc_correctness_nn_functional_tanhshrink_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5692072Z test_nnc_correctness_nn_functional_threshold_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5692301Z test_nnc_correctness_nn_functional_threshold_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5692526Z test_nnc_correctness_nn_functional_threshold_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5692749Z test_nnc_correctness_nn_functional_threshold_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5692963Z test_nnc_correctness_nn_functional_threshold_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5693177Z test_nnc_correctness_nn_functional_threshold_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5693401Z test_nnc_correctness_nn_functional_threshold_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5693624Z test_nnc_correctness_nn_functional_threshold_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5693859Z test_nnc_correctness_nn_functional_triplet_margin_loss_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5694099Z test_nnc_correctness_nn_functional_triplet_margin_loss_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5694339Z test_nnc_correctness_nn_functional_triplet_margin_loss_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5694577Z test_nnc_correctness_nn_functional_triplet_margin_loss_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5694813Z test_nnc_correctness_nn_functional_triplet_margin_loss_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5695036Z test_nnc_correctness_nn_functional_triplet_margin_loss_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5695265Z test_nnc_correctness_nn_functional_triplet_margin_loss_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5695499Z test_nnc_correctness_nn_functional_triplet_margin_loss_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5695760Z test_nnc_correctness_nn_functional_triplet_margin_loss_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5695995Z test_nnc_correctness_nn_functional_triplet_margin_loss_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5696246Z test_nnc_correctness_nn_functional_triplet_margin_with_distance_loss_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5696500Z test_nnc_correctness_nn_functional_triplet_margin_with_distance_loss_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5696781Z test_nnc_correctness_nn_functional_triplet_margin_with_distance_loss_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5697030Z test_nnc_correctness_nn_functional_triplet_margin_with_distance_loss_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5697278Z test_nnc_correctness_nn_functional_triplet_margin_with_distance_loss_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5697526Z test_nnc_correctness_nn_functional_triplet_margin_with_distance_loss_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5697773Z test_nnc_correctness_nn_functional_triplet_margin_with_distance_loss_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5698020Z test_nnc_correctness_nn_functional_triplet_margin_with_distance_loss_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5698253Z test_nnc_correctness_nn_functional_triplet_margin_with_distance_loss_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5698499Z test_nnc_correctness_nn_functional_triplet_margin_with_distance_loss_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5698723Z test_nnc_correctness_nn_functional_unfold_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5699070Z test_nnc_correctness_nn_functional_unfold_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5699297Z test_nnc_correctness_nn_functional_unfold_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5699520Z test_nnc_correctness_nn_functional_unfold_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5699736Z test_nnc_correctness_nn_functional_unfold_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5699959Z test_nnc_correctness_nn_functional_unfold_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5700199Z test_nnc_correctness_nn_functional_upsample_bilinear_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5700435Z test_nnc_correctness_nn_functional_upsample_bilinear_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5700721Z test_nnc_correctness_nn_functional_upsample_bilinear_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5700957Z test_nnc_correctness_nn_functional_upsample_nearest_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5701193Z test_nnc_correctness_nn_functional_upsample_nearest_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5701449Z test_nnc_correctness_nn_functional_upsample_nearest_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5701684Z test_nnc_correctness_nn_functional_upsample_nearest_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5701897Z test_nnc_correctness_nonzero_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5702103Z test_nnc_correctness_nonzero_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5702319Z test_nnc_correctness_nonzero_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5702537Z test_nnc_correctness_nonzero_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5702749Z test_nnc_correctness_nonzero_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5702963Z test_nnc_correctness_nonzero_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5703178Z test_nnc_correctness_nonzero_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5703388Z test_nnc_correctness_nonzero_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5703599Z test_nnc_correctness_nonzero_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5703804Z test_nnc_correctness_nonzero_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5703993Z test_nnc_correctness_nonzero_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5704202Z test_nnc_correctness_nonzero_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5704412Z test_nnc_correctness_nonzero_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5704618Z test_nnc_correctness_norm_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5704831Z test_nnc_correctness_norm_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5705044Z test_nnc_correctness_norm_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5705251Z test_nnc_correctness_norm_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5705488Z test_nnc_correctness_norm_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5705697Z test_nnc_correctness_norm_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5705905Z test_nnc_correctness_norm_fro_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5706121Z test_nnc_correctness_norm_fro_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5706365Z test_nnc_correctness_norm_fro_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5706579Z test_nnc_correctness_norm_fro_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5706789Z test_nnc_correctness_norm_fro_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5706994Z test_nnc_correctness_norm_fro_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5707208Z test_nnc_correctness_norm_inf_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5707424Z test_nnc_correctness_norm_inf_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5707639Z test_nnc_correctness_norm_inf_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5707848Z test_nnc_correctness_norm_inf_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5708057Z test_nnc_correctness_norm_inf_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5708334Z test_nnc_correctness_norm_inf_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5708552Z test_nnc_correctness_norm_nuc_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5708756Z test_nnc_correctness_norm_nuc_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5708962Z test_nnc_correctness_norm_nuc_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5709169Z test_nnc_correctness_norm_nuc_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5709380Z test_nnc_correctness_normal_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5709588Z test_nnc_correctness_normal_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5709792Z test_nnc_correctness_normal_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5709993Z test_nnc_correctness_normal_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5710255Z test_nnc_correctness_normal_number_mean_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5710478Z test_nnc_correctness_normal_number_mean_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5710701Z test_nnc_correctness_normal_number_mean_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5710924Z test_nnc_correctness_normal_number_mean_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5711166Z test_nnc_correctness_ones_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5711358Z test_nnc_correctness_ones_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5711574Z test_nnc_correctness_ones_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5711784Z test_nnc_correctness_ones_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5711997Z test_nnc_correctness_ones_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5712206Z test_nnc_correctness_ones_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5712407Z test_nnc_correctness_ones_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5712605Z test_nnc_correctness_ones_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5712811Z test_nnc_correctness_ones_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5713018Z test_nnc_correctness_ones_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5713219Z test_nnc_correctness_ones_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5713421Z test_nnc_correctness_ones_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5713614Z test_nnc_correctness_ones_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5713827Z test_nnc_correctness_ones_like_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5714033Z test_nnc_correctness_ones_like_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5714247Z test_nnc_correctness_ones_like_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5714461Z test_nnc_correctness_ones_like_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5714673Z test_nnc_correctness_ones_like_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5714888Z test_nnc_correctness_ones_like_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5715121Z test_nnc_correctness_ones_like_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5715333Z test_nnc_correctness_ones_like_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5715540Z test_nnc_correctness_ones_like_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5715739Z test_nnc_correctness_ones_like_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5715974Z test_nnc_correctness_ones_like_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5716169Z test_nnc_correctness_ones_like_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5716376Z test_nnc_correctness_ones_like_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5716589Z test_nnc_correctness_ormqr_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5716802Z test_nnc_correctness_ormqr_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5717009Z test_nnc_correctness_ormqr_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5717212Z test_nnc_correctness_ormqr_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5717423Z test_nnc_correctness_outer_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5717628Z test_nnc_correctness_outer_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5717841Z test_nnc_correctness_outer_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5718050Z test_nnc_correctness_outer_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5718255Z test_nnc_correctness_outer_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5718452Z test_nnc_correctness_outer_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5718653Z test_nnc_correctness_outer_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5718855Z test_nnc_correctness_outer_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5719055Z test_nnc_correctness_outer_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5719261Z test_nnc_correctness_outer_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5719464Z test_nnc_correctness_outer_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5719675Z test_nnc_correctness_outer_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5719919Z test_nnc_correctness_pca_lowrank_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5720136Z test_nnc_correctness_pca_lowrank_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5720347Z test_nnc_correctness_permute_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5720554Z test_nnc_correctness_permute_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5720784Z test_nnc_correctness_permute_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5721000Z test_nnc_correctness_permute_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5721218Z test_nnc_correctness_permute_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5721428Z test_nnc_correctness_permute_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5721639Z test_nnc_correctness_permute_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5721848Z test_nnc_correctness_permute_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5722056Z test_nnc_correctness_permute_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5722258Z test_nnc_correctness_permute_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5722457Z test_nnc_correctness_permute_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5722661Z test_nnc_correctness_permute_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5722868Z test_nnc_correctness_permute_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5723073Z test_nnc_correctness_pinverse_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5723290Z test_nnc_correctness_pinverse_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5723503Z test_nnc_correctness_pinverse_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5723716Z test_nnc_correctness_pinverse_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5723924Z test_nnc_correctness_polar_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5724134Z test_nnc_correctness_polar_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5724364Z test_nnc_correctness_polygamma_polygamma_n_0_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5724618Z test_nnc_correctness_polygamma_polygamma_n_0_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5724845Z test_nnc_correctness_polygamma_polygamma_n_0_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5725070Z test_nnc_correctness_polygamma_polygamma_n_0_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5725294Z test_nnc_correctness_polygamma_polygamma_n_0_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5725518Z test_nnc_correctness_polygamma_polygamma_n_0_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5725760Z test_nnc_correctness_polygamma_polygamma_n_0_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5725983Z test_nnc_correctness_polygamma_polygamma_n_0_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5726206Z test_nnc_correctness_polygamma_polygamma_n_0_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5726432Z test_nnc_correctness_polygamma_polygamma_n_1_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5726651Z test_nnc_correctness_polygamma_polygamma_n_1_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5726878Z test_nnc_correctness_polygamma_polygamma_n_1_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5727107Z test_nnc_correctness_polygamma_polygamma_n_1_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5727330Z test_nnc_correctness_polygamma_polygamma_n_1_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5727553Z test_nnc_correctness_polygamma_polygamma_n_1_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5727771Z test_nnc_correctness_polygamma_polygamma_n_1_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5727992Z test_nnc_correctness_polygamma_polygamma_n_1_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5728215Z test_nnc_correctness_polygamma_polygamma_n_1_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5728428Z test_nnc_correctness_polygamma_polygamma_n_2_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5728645Z test_nnc_correctness_polygamma_polygamma_n_2_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5728869Z test_nnc_correctness_polygamma_polygamma_n_2_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5729094Z test_nnc_correctness_polygamma_polygamma_n_2_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5729315Z test_nnc_correctness_polygamma_polygamma_n_2_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5729565Z test_nnc_correctness_polygamma_polygamma_n_2_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5729783Z test_nnc_correctness_polygamma_polygamma_n_2_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5730000Z test_nnc_correctness_polygamma_polygamma_n_2_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5730221Z test_nnc_correctness_polygamma_polygamma_n_2_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5730476Z test_nnc_correctness_polygamma_polygamma_n_3_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5730698Z test_nnc_correctness_polygamma_polygamma_n_3_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5730920Z test_nnc_correctness_polygamma_polygamma_n_3_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5731143Z test_nnc_correctness_polygamma_polygamma_n_3_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5731351Z test_nnc_correctness_polygamma_polygamma_n_3_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5731572Z test_nnc_correctness_polygamma_polygamma_n_3_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5731790Z test_nnc_correctness_polygamma_polygamma_n_3_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5732008Z test_nnc_correctness_polygamma_polygamma_n_3_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5732227Z test_nnc_correctness_polygamma_polygamma_n_3_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5732448Z test_nnc_correctness_polygamma_polygamma_n_4_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5732667Z test_nnc_correctness_polygamma_polygamma_n_4_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5732891Z test_nnc_correctness_polygamma_polygamma_n_4_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5733114Z test_nnc_correctness_polygamma_polygamma_n_4_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5733334Z test_nnc_correctness_polygamma_polygamma_n_4_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5733553Z test_nnc_correctness_polygamma_polygamma_n_4_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5733771Z test_nnc_correctness_polygamma_polygamma_n_4_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5733977Z test_nnc_correctness_polygamma_polygamma_n_4_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5734224Z test_nnc_correctness_polygamma_polygamma_n_4_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5734436Z test_nnc_correctness_positive_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5734654Z test_nnc_correctness_positive_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5734869Z test_nnc_correctness_positive_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5735131Z test_nnc_correctness_positive_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5735345Z test_nnc_correctness_positive_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5735549Z test_nnc_correctness_positive_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5735761Z test_nnc_correctness_positive_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5735970Z test_nnc_correctness_positive_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5736181Z test_nnc_correctness_positive_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5736371Z test_nnc_correctness_positive_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5736581Z test_nnc_correctness_positive_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5736783Z test_nnc_correctness_positive_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5736990Z test_nnc_correctness_pow_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5737199Z test_nnc_correctness_pow_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5737408Z test_nnc_correctness_pow_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5737613Z test_nnc_correctness_pow_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5737826Z test_nnc_correctness_pow_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5738025Z test_nnc_correctness_pow_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5738233Z test_nnc_correctness_pow_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5738439Z test_nnc_correctness_pow_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5738629Z test_nnc_correctness_pow_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5739004Z test_nnc_correctness_pow_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5739211Z test_nnc_correctness_pow_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5739422Z test_nnc_correctness_prod_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5739623Z test_nnc_correctness_prod_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5739833Z test_nnc_correctness_prod_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5740135Z test_nnc_correctness_prod_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5740343Z test_nnc_correctness_prod_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5740550Z test_nnc_correctness_prod_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5740752Z test_nnc_correctness_prod_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5740955Z test_nnc_correctness_prod_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5741160Z test_nnc_correctness_prod_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5741354Z test_nnc_correctness_prod_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5741557Z test_nnc_correctness_prod_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5741766Z test_nnc_correctness_put_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5741972Z test_nnc_correctness_put_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5742182Z test_nnc_correctness_put_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5742390Z test_nnc_correctness_put_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5742596Z test_nnc_correctness_put_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5742797Z test_nnc_correctness_put_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5743004Z test_nnc_correctness_put_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5743209Z test_nnc_correctness_put_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5743412Z test_nnc_correctness_put_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5743602Z test_nnc_correctness_put_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5743804Z test_nnc_correctness_put_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5744038Z test_nnc_correctness_put_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5744248Z test_nnc_correctness_qr_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5744453Z test_nnc_correctness_qr_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5744658Z test_nnc_correctness_qr_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5744892Z test_nnc_correctness_qr_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5745104Z test_nnc_correctness_quantile_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5745318Z test_nnc_correctness_quantile_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5745527Z test_nnc_correctness_rad2deg_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5745735Z test_nnc_correctness_rad2deg_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5745936Z test_nnc_correctness_rad2deg_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5746141Z test_nnc_correctness_rad2deg_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5746353Z test_nnc_correctness_rad2deg_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5746561Z test_nnc_correctness_rad2deg_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5746767Z test_nnc_correctness_rad2deg_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5746967Z test_nnc_correctness_rad2deg_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5747170Z test_nnc_correctness_rad2deg_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5747372Z test_nnc_correctness_rad2deg_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5747588Z test_nnc_correctness_rand_like_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5747804Z test_nnc_correctness_rand_like_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5748021Z test_nnc_correctness_rand_like_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5748292Z test_nnc_correctness_rand_like_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5748508Z test_nnc_correctness_rand_like_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5748719Z test_nnc_correctness_rand_like_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5748958Z test_nnc_correctness_rand_like_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5749171Z test_nnc_correctness_randint_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5749380Z test_nnc_correctness_randint_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5749584Z test_nnc_correctness_randint_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5749823Z test_nnc_correctness_randint_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5750038Z test_nnc_correctness_randint_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5750247Z test_nnc_correctness_randint_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5750447Z test_nnc_correctness_randint_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5750641Z test_nnc_correctness_randint_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5750841Z test_nnc_correctness_randint_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5751058Z test_nnc_correctness_randint_like_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5751275Z test_nnc_correctness_randint_like_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5751489Z test_nnc_correctness_randint_like_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5751701Z test_nnc_correctness_randint_like_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5751912Z test_nnc_correctness_randint_like_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5752124Z test_nnc_correctness_randint_like_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5752329Z test_nnc_correctness_randint_like_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5752543Z test_nnc_correctness_randint_like_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5752756Z test_nnc_correctness_randint_like_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5752965Z test_nnc_correctness_randn_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5753166Z test_nnc_correctness_randn_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5753379Z test_nnc_correctness_randn_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5753621Z test_nnc_correctness_randn_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5753832Z test_nnc_correctness_randn_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5754034Z test_nnc_correctness_randn_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5754233Z test_nnc_correctness_randn_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5754446Z test_nnc_correctness_randn_like_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5754689Z test_nnc_correctness_randn_like_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5754908Z test_nnc_correctness_randn_like_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5755125Z test_nnc_correctness_randn_like_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5755337Z test_nnc_correctness_randn_like_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5755535Z test_nnc_correctness_randn_like_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5755742Z test_nnc_correctness_randn_like_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5755951Z test_nnc_correctness_ravel_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5756154Z test_nnc_correctness_ravel_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5756366Z test_nnc_correctness_ravel_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5756576Z test_nnc_correctness_ravel_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5756787Z test_nnc_correctness_ravel_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5756997Z test_nnc_correctness_ravel_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5757203Z test_nnc_correctness_ravel_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5757404Z test_nnc_correctness_ravel_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5757607Z test_nnc_correctness_ravel_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5757795Z test_nnc_correctness_ravel_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5758000Z test_nnc_correctness_ravel_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5758204Z test_nnc_correctness_ravel_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5758438Z test_nnc_correctness_ravel_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5758653Z test_nnc_correctness_real_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5758860Z test_nnc_correctness_real_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5759070Z test_nnc_correctness_real_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5759310Z test_nnc_correctness_real_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5759513Z test_nnc_correctness_real_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5759720Z test_nnc_correctness_real_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5759919Z test_nnc_correctness_real_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5760113Z test_nnc_correctness_real_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5760304Z test_nnc_correctness_real_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5760511Z test_nnc_correctness_real_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5760713Z test_nnc_correctness_real_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5760918Z test_nnc_correctness_real_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5761123Z test_nnc_correctness_real_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5761342Z test_nnc_correctness_reciprocal_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5761556Z test_nnc_correctness_reciprocal_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5761779Z test_nnc_correctness_reciprocal_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5762001Z test_nnc_correctness_reciprocal_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5762216Z test_nnc_correctness_reciprocal_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5762429Z test_nnc_correctness_reciprocal_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5762625Z test_nnc_correctness_reciprocal_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5762838Z test_nnc_correctness_reciprocal_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5763045Z test_nnc_correctness_reciprocal_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5763286Z test_nnc_correctness_reciprocal_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5763505Z test_nnc_correctness_reciprocal_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5763718Z test_nnc_correctness_reciprocal_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5763888Z test_nnc_correctness_remainder_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5764133Z test_nnc_correctness_remainder_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5764348Z test_nnc_correctness_remainder_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5764567Z test_nnc_correctness_remainder_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5764776Z test_nnc_correctness_remainder_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5764976Z test_nnc_correctness_remainder_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5765188Z test_nnc_correctness_remainder_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5765400Z test_nnc_correctness_remainder_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5765613Z test_nnc_correctness_remainder_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5765825Z test_nnc_correctness_renorm_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5766038Z test_nnc_correctness_renorm_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5766250Z test_nnc_correctness_renorm_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5766463Z test_nnc_correctness_renorm_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5766674Z test_nnc_correctness_renorm_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5766879Z test_nnc_correctness_renorm_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5767092Z test_nnc_correctness_repeat_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5767286Z test_nnc_correctness_repeat_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5767499Z test_nnc_correctness_repeat_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5767711Z test_nnc_correctness_repeat_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5767919Z test_nnc_correctness_repeat_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5768151Z test_nnc_correctness_repeat_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5768351Z test_nnc_correctness_repeat_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5768557Z test_nnc_correctness_repeat_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5768764Z test_nnc_correctness_repeat_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5768998Z test_nnc_correctness_repeat_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5769201Z test_nnc_correctness_repeat_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5769407Z test_nnc_correctness_repeat_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5769633Z test_nnc_correctness_repeat_interleave_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5769846Z test_nnc_correctness_repeat_interleave_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5770074Z test_nnc_correctness_repeat_interleave_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5770304Z test_nnc_correctness_repeat_interleave_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5770528Z test_nnc_correctness_repeat_interleave_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5770751Z test_nnc_correctness_repeat_interleave_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5770975Z test_nnc_correctness_repeat_interleave_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5771196Z test_nnc_correctness_repeat_interleave_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5771416Z test_nnc_correctness_repeat_interleave_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5771637Z test_nnc_correctness_repeat_interleave_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5771856Z test_nnc_correctness_repeat_interleave_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5772072Z test_nnc_correctness_repeat_interleave_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5772276Z test_nnc_correctness_repeat_interleave_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5772489Z test_nnc_correctness_reshape_as_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5772701Z test_nnc_correctness_reshape_as_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5772948Z test_nnc_correctness_reshape_as_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5773168Z test_nnc_correctness_reshape_as_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5773380Z test_nnc_correctness_reshape_as_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5773595Z test_nnc_correctness_reshape_as_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5773847Z test_nnc_correctness_reshape_as_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5774061Z test_nnc_correctness_reshape_as_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5774274Z test_nnc_correctness_reshape_as_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5774483Z test_nnc_correctness_reshape_as_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5774692Z test_nnc_correctness_reshape_as_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5774889Z test_nnc_correctness_reshape_as_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5775101Z test_nnc_correctness_reshape_as_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5775312Z test_nnc_correctness_reshape_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5775520Z test_nnc_correctness_reshape_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5775730Z test_nnc_correctness_reshape_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5775943Z test_nnc_correctness_reshape_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5776149Z test_nnc_correctness_reshape_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5776360Z test_nnc_correctness_reshape_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5776571Z test_nnc_correctness_reshape_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5776776Z test_nnc_correctness_reshape_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5776983Z test_nnc_correctness_reshape_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5777173Z test_nnc_correctness_reshape_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5777371Z test_nnc_correctness_reshape_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5777578Z test_nnc_correctness_reshape_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5777816Z test_nnc_correctness_reshape_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5778029Z test_nnc_correctness_resize__cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5778231Z test_nnc_correctness_resize__cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5778445Z test_nnc_correctness_resize__cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5778686Z test_nnc_correctness_resize__cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5779015Z test_nnc_correctness_resize__cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5779221Z test_nnc_correctness_resize__cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5779430Z test_nnc_correctness_resize__cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5779640Z test_nnc_correctness_resize__cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5779834Z test_nnc_correctness_resize__cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5780036Z test_nnc_correctness_resize__cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5780242Z test_nnc_correctness_resize__cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5780443Z test_nnc_correctness_resize__cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5780658Z test_nnc_correctness_resize_as__cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5780869Z test_nnc_correctness_resize_as__cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5781085Z test_nnc_correctness_resize_as__cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5781307Z test_nnc_correctness_resize_as__cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5781522Z test_nnc_correctness_resize_as__cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5781732Z test_nnc_correctness_resize_as__cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5781933Z test_nnc_correctness_resize_as__cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5782130Z test_nnc_correctness_resize_as__cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5782342Z test_nnc_correctness_resize_as__cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5782595Z test_nnc_correctness_resize_as__cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5782806Z test_nnc_correctness_resize_as__cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5783016Z test_nnc_correctness_resize_as__cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5783231Z test_nnc_correctness_resolve_conj_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5783441Z test_nnc_correctness_resolve_conj_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5783704Z test_nnc_correctness_resolve_conj_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5783925Z test_nnc_correctness_resolve_conj_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5784139Z test_nnc_correctness_resolve_conj_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5784352Z test_nnc_correctness_resolve_conj_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5784552Z test_nnc_correctness_resolve_conj_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5784765Z test_nnc_correctness_resolve_conj_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5784977Z test_nnc_correctness_resolve_conj_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5785181Z test_nnc_correctness_resolve_conj_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5785390Z test_nnc_correctness_resolve_conj_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5785601Z test_nnc_correctness_resolve_conj_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5785815Z test_nnc_correctness_resolve_neg_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5786028Z test_nnc_correctness_resolve_neg_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5786245Z test_nnc_correctness_resolve_neg_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5786465Z test_nnc_correctness_resolve_neg_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5786681Z test_nnc_correctness_resolve_neg_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5786893Z test_nnc_correctness_resolve_neg_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5787097Z test_nnc_correctness_resolve_neg_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5787309Z test_nnc_correctness_resolve_neg_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5787554Z test_nnc_correctness_resolve_neg_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5787761Z test_nnc_correctness_resolve_neg_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5787971Z test_nnc_correctness_resolve_neg_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5788257Z test_nnc_correctness_resolve_neg_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5788506Z test_nnc_correctness_resolve_neg_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5788716Z test_nnc_correctness_roll_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5788921Z test_nnc_correctness_roll_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5789132Z test_nnc_correctness_roll_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5789340Z test_nnc_correctness_roll_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5789529Z test_nnc_correctness_roll_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5789737Z test_nnc_correctness_roll_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5789940Z test_nnc_correctness_roll_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5790146Z test_nnc_correctness_roll_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5790347Z test_nnc_correctness_roll_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5790552Z test_nnc_correctness_roll_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5790758Z test_nnc_correctness_roll_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5790964Z test_nnc_correctness_roll_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5791165Z test_nnc_correctness_roll_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5791374Z test_nnc_correctness_rot90_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5791572Z test_nnc_correctness_rot90_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5791774Z test_nnc_correctness_rot90_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5791987Z test_nnc_correctness_rot90_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5792194Z test_nnc_correctness_rot90_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5792444Z test_nnc_correctness_rot90_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5792646Z test_nnc_correctness_rot90_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5792847Z test_nnc_correctness_rot90_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5793042Z test_nnc_correctness_rot90_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5793279Z test_nnc_correctness_rot90_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5793481Z test_nnc_correctness_rot90_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5793683Z test_nnc_correctness_rot90_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5793844Z test_nnc_correctness_round_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5794035Z test_nnc_correctness_round_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5794234Z test_nnc_correctness_round_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5794437Z test_nnc_correctness_round_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5794635Z test_nnc_correctness_round_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5794839Z test_nnc_correctness_round_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5795040Z test_nnc_correctness_round_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5795243Z test_nnc_correctness_round_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5795465Z test_nnc_correctness_round_decimals_0_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5795685Z test_nnc_correctness_round_decimals_0_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5795908Z test_nnc_correctness_round_decimals_0_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5796129Z test_nnc_correctness_round_decimals_3_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5796344Z test_nnc_correctness_round_decimals_3_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5796550Z test_nnc_correctness_round_decimals_3_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5796775Z test_nnc_correctness_round_decimals_neg_3_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5797029Z test_nnc_correctness_round_decimals_neg_3_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5797244Z test_nnc_correctness_round_decimals_neg_3_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5797452Z test_nnc_correctness_rsqrt_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5797656Z test_nnc_correctness_rsqrt_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5797866Z test_nnc_correctness_rsqrt_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5798110Z test_nnc_correctness_rsqrt_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5798317Z test_nnc_correctness_rsqrt_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5798524Z test_nnc_correctness_rsqrt_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5798727Z test_nnc_correctness_rsqrt_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5798913Z test_nnc_correctness_rsqrt_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5799111Z test_nnc_correctness_rsqrt_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5799316Z test_nnc_correctness_rsqrt_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5799521Z test_nnc_correctness_rsqrt_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5799728Z test_nnc_correctness_rsub_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5799939Z test_nnc_correctness_rsub_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5800145Z test_nnc_correctness_rsub_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5800351Z test_nnc_correctness_rsub_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5800549Z test_nnc_correctness_rsub_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5800744Z test_nnc_correctness_rsub_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5800944Z test_nnc_correctness_rsub_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5801135Z test_nnc_correctness_rsub_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5801334Z test_nnc_correctness_rsub_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5801539Z test_nnc_correctness_rsub_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5801773Z test_nnc_correctness_rsub_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5801996Z test_nnc_correctness_scalar_tensor_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5802208Z test_nnc_correctness_scalar_tensor_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5802429Z test_nnc_correctness_scalar_tensor_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5802648Z test_nnc_correctness_scalar_tensor_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5802897Z test_nnc_correctness_scalar_tensor_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5803114Z test_nnc_correctness_scalar_tensor_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5803328Z test_nnc_correctness_scalar_tensor_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5803537Z test_nnc_correctness_scalar_tensor_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5803739Z test_nnc_correctness_scalar_tensor_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5803956Z test_nnc_correctness_scalar_tensor_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5804168Z test_nnc_correctness_scalar_tensor_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5804379Z test_nnc_correctness_scalar_tensor_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5804592Z test_nnc_correctness_scalar_tensor_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5804808Z test_nnc_correctness_scatter_add_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5805018Z test_nnc_correctness_scatter_add_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5805239Z test_nnc_correctness_scatter_add_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5805457Z test_nnc_correctness_scatter_add_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5805671Z test_nnc_correctness_scatter_add_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5805885Z test_nnc_correctness_scatter_add_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5806095Z test_nnc_correctness_scatter_add_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5806299Z test_nnc_correctness_scatter_add_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5806509Z test_nnc_correctness_scatter_add_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5806754Z test_nnc_correctness_scatter_add_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5806964Z test_nnc_correctness_scatter_add_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5807174Z test_nnc_correctness_scatter_add_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5807387Z test_nnc_correctness_scatter_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5807636Z test_nnc_correctness_scatter_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5807853Z test_nnc_correctness_scatter_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5808066Z test_nnc_correctness_scatter_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5808274Z test_nnc_correctness_scatter_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5808482Z test_nnc_correctness_scatter_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5808682Z test_nnc_correctness_scatter_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5808890Z test_nnc_correctness_scatter_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5809093Z test_nnc_correctness_scatter_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5809293Z test_nnc_correctness_scatter_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5809496Z test_nnc_correctness_scatter_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5809703Z test_nnc_correctness_scatter_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5809928Z test_nnc_correctness_scatter_reduce_amax_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5810146Z test_nnc_correctness_scatter_reduce_amax_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5810370Z test_nnc_correctness_scatter_reduce_amax_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5810587Z test_nnc_correctness_scatter_reduce_amax_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5810801Z test_nnc_correctness_scatter_reduce_amax_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5811011Z test_nnc_correctness_scatter_reduce_amax_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5811232Z test_nnc_correctness_scatter_reduce_amax_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5811482Z test_nnc_correctness_scatter_reduce_amax_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5811704Z test_nnc_correctness_scatter_reduce_amax_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5811923Z test_nnc_correctness_scatter_reduce_amax_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5812145Z test_nnc_correctness_scatter_reduce_amin_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5812393Z test_nnc_correctness_scatter_reduce_amin_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5812614Z test_nnc_correctness_scatter_reduce_amin_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5812829Z test_nnc_correctness_scatter_reduce_amin_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5813052Z test_nnc_correctness_scatter_reduce_amin_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5813267Z test_nnc_correctness_scatter_reduce_amin_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5813486Z test_nnc_correctness_scatter_reduce_amin_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5813692Z test_nnc_correctness_scatter_reduce_amin_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5813908Z test_nnc_correctness_scatter_reduce_amin_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5814126Z test_nnc_correctness_scatter_reduce_amin_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5814349Z test_nnc_correctness_scatter_reduce_mean_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5814567Z test_nnc_correctness_scatter_reduce_mean_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5814781Z test_nnc_correctness_scatter_reduce_mean_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5815002Z test_nnc_correctness_scatter_reduce_mean_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5815219Z test_nnc_correctness_scatter_reduce_mean_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5815435Z test_nnc_correctness_scatter_reduce_mean_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5815652Z test_nnc_correctness_scatter_reduce_mean_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5815872Z test_nnc_correctness_scatter_reduce_mean_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5816151Z test_nnc_correctness_scatter_reduce_mean_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5816363Z test_nnc_correctness_scatter_reduce_prod_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5816582Z test_nnc_correctness_scatter_reduce_prod_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5816804Z test_nnc_correctness_scatter_reduce_prod_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5817023Z test_nnc_correctness_scatter_reduce_prod_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5817270Z test_nnc_correctness_scatter_reduce_prod_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5817489Z test_nnc_correctness_scatter_reduce_prod_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5817706Z test_nnc_correctness_scatter_reduce_prod_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5817923Z test_nnc_correctness_scatter_reduce_prod_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5818143Z test_nnc_correctness_scatter_reduce_prod_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5818362Z test_nnc_correctness_scatter_reduce_prod_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5818584Z test_nnc_correctness_scatter_reduce_sum_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5818921Z test_nnc_correctness_scatter_reduce_sum_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5819132Z test_nnc_correctness_scatter_reduce_sum_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5819353Z test_nnc_correctness_scatter_reduce_sum_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5819577Z test_nnc_correctness_scatter_reduce_sum_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5819795Z test_nnc_correctness_scatter_reduce_sum_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5820012Z test_nnc_correctness_scatter_reduce_sum_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5820227Z test_nnc_correctness_scatter_reduce_sum_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5820445Z test_nnc_correctness_scatter_reduce_sum_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5820658Z test_nnc_correctness_scatter_reduce_sum_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5820878Z test_nnc_correctness_searchsorted_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5821145Z test_nnc_correctness_searchsorted_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5821365Z test_nnc_correctness_searchsorted_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5821583Z test_nnc_correctness_searchsorted_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5821786Z test_nnc_correctness_searchsorted_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5822041Z test_nnc_correctness_searchsorted_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5822261Z test_nnc_correctness_searchsorted_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5822477Z test_nnc_correctness_searchsorted_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5822697Z test_nnc_correctness_searchsorted_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5822924Z test_nnc_correctness_segment_reduce_lengths_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5823148Z test_nnc_correctness_segment_reduce_lengths_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5823365Z test_nnc_correctness_segment_reduce_lengths_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5823580Z test_nnc_correctness_segment_reduce_lengths_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5823814Z test_nnc_correctness_segment_reduce_offsets_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5824026Z test_nnc_correctness_segment_reduce_offsets_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5824240Z test_nnc_correctness_segment_reduce_offsets_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5824455Z test_nnc_correctness_segment_reduce_offsets_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5824669Z test_nnc_correctness_select_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5824879Z test_nnc_correctness_select_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5825095Z test_nnc_correctness_select_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5825313Z test_nnc_correctness_select_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5825528Z test_nnc_correctness_select_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5825742Z test_nnc_correctness_select_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5825979Z test_nnc_correctness_select_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5826178Z test_nnc_correctness_select_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5826384Z test_nnc_correctness_select_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5826592Z test_nnc_correctness_select_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5826824Z test_nnc_correctness_select_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5827015Z test_nnc_correctness_select_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5827220Z test_nnc_correctness_select_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5827442Z test_nnc_correctness_select_scatter_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5827662Z test_nnc_correctness_select_scatter_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5827882Z test_nnc_correctness_select_scatter_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5828104Z test_nnc_correctness_select_scatter_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5828398Z test_nnc_correctness_select_scatter_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5828614Z test_nnc_correctness_select_scatter_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5828825Z test_nnc_correctness_select_scatter_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5829040Z test_nnc_correctness_select_scatter_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5829259Z test_nnc_correctness_select_scatter_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5829463Z test_nnc_correctness_select_scatter_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5829671Z test_nnc_correctness_sgn_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5829875Z test_nnc_correctness_sgn_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5830089Z test_nnc_correctness_sgn_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5830302Z test_nnc_correctness_sgn_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5830511Z test_nnc_correctness_sgn_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5830718Z test_nnc_correctness_sgn_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5830953Z test_nnc_correctness_sgn_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5831163Z test_nnc_correctness_sgn_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5831369Z test_nnc_correctness_sgn_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5831574Z test_nnc_correctness_sgn_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5831801Z test_nnc_correctness_sgn_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5832009Z test_nnc_correctness_sgn_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5832209Z test_nnc_correctness_sgn_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5832423Z test_nnc_correctness_short_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5832630Z test_nnc_correctness_short_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5832843Z test_nnc_correctness_short_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5833059Z test_nnc_correctness_short_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5833270Z test_nnc_correctness_short_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5833479Z test_nnc_correctness_short_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5833681Z test_nnc_correctness_short_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5833888Z test_nnc_correctness_short_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5834075Z test_nnc_correctness_short_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5834282Z test_nnc_correctness_short_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5834487Z test_nnc_correctness_short_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5834694Z test_nnc_correctness_short_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5834905Z test_nnc_correctness_sigmoid_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5835110Z test_nnc_correctness_sigmoid_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5835326Z test_nnc_correctness_sigmoid_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5835539Z test_nnc_correctness_sigmoid_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5835780Z test_nnc_correctness_sigmoid_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5835990Z test_nnc_correctness_sigmoid_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5836200Z test_nnc_correctness_sigmoid_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5836404Z test_nnc_correctness_sigmoid_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5836622Z test_nnc_correctness_sigmoid_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5836831Z test_nnc_correctness_sigmoid_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5837034Z test_nnc_correctness_sigmoid_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5837240Z test_nnc_correctness_sign_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5837441Z test_nnc_correctness_sign_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5837649Z test_nnc_correctness_sign_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5837850Z test_nnc_correctness_sign_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5838057Z test_nnc_correctness_sign_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5838260Z test_nnc_correctness_sign_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5838464Z test_nnc_correctness_sign_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5838665Z test_nnc_correctness_sign_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5838854Z test_nnc_correctness_sign_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s) 2022-11-23T01:39:02.5839057Z test_nnc_correctness_sign_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5839282Z test_nnc_correctness_signal_windows_cosine_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5839506Z test_nnc_correctness_signal_windows_cosine_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5839725Z test_nnc_correctness_signal_windows_cosine_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5839937Z test_nnc_correctness_signal_windows_cosine_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5840172Z test_nnc_correctness_signal_windows_exponential_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5840431Z test_nnc_correctness_signal_windows_exponential_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5840663Z test_nnc_correctness_signal_windows_exponential_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5840887Z test_nnc_correctness_signal_windows_exponential_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5841116Z test_nnc_correctness_signal_windows_gaussian_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5841384Z test_nnc_correctness_signal_windows_gaussian_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5841593Z test_nnc_correctness_signal_windows_gaussian_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5841821Z test_nnc_correctness_signal_windows_gaussian_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5842046Z test_nnc_correctness_signal_windows_kaiser_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5842268Z test_nnc_correctness_signal_windows_kaiser_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5842486Z test_nnc_correctness_signal_windows_kaiser_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5842700Z test_nnc_correctness_signal_windows_kaiser_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5842912Z test_nnc_correctness_signbit_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5843117Z test_nnc_correctness_signbit_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5843326Z test_nnc_correctness_signbit_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5843528Z test_nnc_correctness_signbit_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5843740Z test_nnc_correctness_signbit_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5843949Z test_nnc_correctness_signbit_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5844145Z test_nnc_correctness_signbit_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5844345Z test_nnc_correctness_signbit_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5844551Z test_nnc_correctness_signbit_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5844750Z test_nnc_correctness_signbit_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5844958Z test_nnc_correctness_sin_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5845194Z test_nnc_correctness_sin_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5845405Z test_nnc_correctness_sin_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5845609Z test_nnc_correctness_sin_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5845813Z test_nnc_correctness_sin_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5846013Z test_nnc_correctness_sin_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5846241Z test_nnc_correctness_sin_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5846435Z test_nnc_correctness_sin_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5846637Z test_nnc_correctness_sin_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5846840Z test_nnc_correctness_sin_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5847046Z test_nnc_correctness_sin_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5847255Z test_nnc_correctness_sinc_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5847456Z test_nnc_correctness_sinc_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5847671Z test_nnc_correctness_sinc_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5847879Z test_nnc_correctness_sinc_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5848086Z test_nnc_correctness_sinc_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5848284Z test_nnc_correctness_sinc_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5848487Z test_nnc_correctness_sinc_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5848677Z test_nnc_correctness_sinc_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5848879Z test_nnc_correctness_sinc_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5849081Z test_nnc_correctness_sinc_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5849280Z test_nnc_correctness_sinc_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5849488Z test_nnc_correctness_sinh_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5849691Z test_nnc_correctness_sinh_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5849932Z test_nnc_correctness_sinh_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5850141Z test_nnc_correctness_sinh_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5850346Z test_nnc_correctness_sinh_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5850550Z test_nnc_correctness_sinh_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5850750Z test_nnc_correctness_sinh_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5850972Z test_nnc_correctness_sinh_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5851176Z test_nnc_correctness_sinh_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5851377Z test_nnc_correctness_sinh_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5851576Z test_nnc_correctness_sinh_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5851786Z test_nnc_correctness_slice_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5851989Z test_nnc_correctness_slice_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5852203Z test_nnc_correctness_slice_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5852416Z test_nnc_correctness_slice_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5852628Z test_nnc_correctness_slice_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5852834Z test_nnc_correctness_slice_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5853042Z test_nnc_correctness_slice_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5853234Z test_nnc_correctness_slice_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5853441Z test_nnc_correctness_slice_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5853642Z test_nnc_correctness_slice_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5853838Z test_nnc_correctness_slice_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5854039Z test_nnc_correctness_slice_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5854243Z test_nnc_correctness_slice_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5854463Z test_nnc_correctness_slice_scatter_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5854679Z test_nnc_correctness_slice_scatter_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5854925Z test_nnc_correctness_slice_scatter_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5855144Z test_nnc_correctness_slice_scatter_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5855357Z test_nnc_correctness_slice_scatter_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5855560Z test_nnc_correctness_slice_scatter_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5855806Z test_nnc_correctness_slice_scatter_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5856016Z test_nnc_correctness_slice_scatter_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5856227Z test_nnc_correctness_slice_scatter_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5856435Z test_nnc_correctness_slice_scatter_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5856648Z test_nnc_correctness_softmax_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5856858Z test_nnc_correctness_softmax_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5857069Z test_nnc_correctness_softmax_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5857291Z test_nnc_correctness_softmax_with_dtype_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5857510Z test_nnc_correctness_softmax_with_dtype_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5857734Z test_nnc_correctness_softmax_with_dtype_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5857955Z test_nnc_correctness_softmax_with_dtype_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5858167Z test_nnc_correctness_softmax_with_dtype_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5858387Z test_nnc_correctness_softmax_with_dtype_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5858607Z test_nnc_correctness_softmax_with_dtype_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5859062Z test_nnc_correctness_softmax_with_dtype_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5859282Z test_nnc_correctness_softmax_with_dtype_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5859501Z test_nnc_correctness_softmax_with_dtype_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5859772Z test_nnc_correctness_softmax_with_dtype_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5859987Z test_nnc_correctness_softmax_with_dtype_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5860198Z test_nnc_correctness_sort_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5860405Z test_nnc_correctness_sort_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5860613Z test_nnc_correctness_sort_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5860850Z test_nnc_correctness_sort_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5861038Z test_nnc_correctness_sort_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5861242Z test_nnc_correctness_sort_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5861446Z test_nnc_correctness_sort_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5861648Z test_nnc_correctness_sort_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5861850Z test_nnc_correctness_sort_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5862054Z test_nnc_correctness_sort_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5862287Z test_nnc_correctness_sparse_sampled_addmm_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5862518Z test_nnc_correctness_sparse_sampled_addmm_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5862741Z test_nnc_correctness_sparse_sampled_addmm_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5862956Z test_nnc_correctness_sparse_sampled_addmm_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5863175Z test_nnc_correctness_special_airy_ai_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5863386Z test_nnc_correctness_special_airy_ai_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5863604Z test_nnc_correctness_special_airy_ai_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5863819Z test_nnc_correctness_special_airy_ai_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5864031Z test_nnc_correctness_special_airy_ai_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5864244Z test_nnc_correctness_special_airy_ai_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5864457Z test_nnc_correctness_special_airy_ai_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5864706Z test_nnc_correctness_special_airy_ai_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5864924Z test_nnc_correctness_special_bessel_j0_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5865142Z test_nnc_correctness_special_bessel_j0_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5865360Z test_nnc_correctness_special_bessel_j0_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5865606Z test_nnc_correctness_special_bessel_j0_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5865823Z test_nnc_correctness_special_bessel_j0_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5866031Z test_nnc_correctness_special_bessel_j0_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5866247Z test_nnc_correctness_special_bessel_j0_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5866466Z test_nnc_correctness_special_bessel_j0_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5866680Z test_nnc_correctness_special_bessel_j1_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5866894Z test_nnc_correctness_special_bessel_j1_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5867118Z test_nnc_correctness_special_bessel_j1_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5867334Z test_nnc_correctness_special_bessel_j1_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5867549Z test_nnc_correctness_special_bessel_j1_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5867764Z test_nnc_correctness_special_bessel_j1_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5867980Z test_nnc_correctness_special_bessel_j1_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5868261Z test_nnc_correctness_special_bessel_j1_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5868484Z test_nnc_correctness_special_bessel_y0_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5868690Z test_nnc_correctness_special_bessel_y0_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5868909Z test_nnc_correctness_special_bessel_y0_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5869127Z test_nnc_correctness_special_bessel_y0_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5869341Z test_nnc_correctness_special_bessel_y0_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5869597Z test_nnc_correctness_special_bessel_y0_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5869812Z test_nnc_correctness_special_bessel_y0_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5870027Z test_nnc_correctness_special_bessel_y0_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5870237Z test_nnc_correctness_special_bessel_y1_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5870486Z test_nnc_correctness_special_bessel_y1_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5870706Z test_nnc_correctness_special_bessel_y1_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5870922Z test_nnc_correctness_special_bessel_y1_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5871134Z test_nnc_correctness_special_bessel_y1_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5871335Z test_nnc_correctness_special_bessel_y1_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5871552Z test_nnc_correctness_special_bessel_y1_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5871767Z test_nnc_correctness_special_bessel_y1_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5871956Z test_nnc_correctness_special_chebyshev_polynomial_t_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5872146Z test_nnc_correctness_special_chebyshev_polynomial_t_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5872339Z test_nnc_correctness_special_chebyshev_polynomial_t_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5872527Z test_nnc_correctness_special_chebyshev_polynomial_t_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5872713Z test_nnc_correctness_special_chebyshev_polynomial_t_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5872900Z test_nnc_correctness_special_chebyshev_polynomial_t_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5873091Z test_nnc_correctness_special_chebyshev_polynomial_t_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5873267Z test_nnc_correctness_special_chebyshev_polynomial_t_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5873453Z test_nnc_correctness_special_chebyshev_polynomial_u_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5873639Z test_nnc_correctness_special_chebyshev_polynomial_u_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5873828Z test_nnc_correctness_special_chebyshev_polynomial_u_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5874015Z test_nnc_correctness_special_chebyshev_polynomial_u_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5874198Z test_nnc_correctness_special_chebyshev_polynomial_u_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5874410Z test_nnc_correctness_special_chebyshev_polynomial_u_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5874595Z test_nnc_correctness_special_chebyshev_polynomial_u_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5874782Z test_nnc_correctness_special_chebyshev_polynomial_u_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5874966Z test_nnc_correctness_special_chebyshev_polynomial_v_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5875142Z test_nnc_correctness_special_chebyshev_polynomial_v_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5875371Z test_nnc_correctness_special_chebyshev_polynomial_v_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5875556Z test_nnc_correctness_special_chebyshev_polynomial_v_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5875738Z test_nnc_correctness_special_chebyshev_polynomial_v_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5875921Z test_nnc_correctness_special_chebyshev_polynomial_v_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5876106Z test_nnc_correctness_special_chebyshev_polynomial_v_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5876289Z test_nnc_correctness_special_chebyshev_polynomial_v_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5876474Z test_nnc_correctness_special_chebyshev_polynomial_w_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5876664Z test_nnc_correctness_special_chebyshev_polynomial_w_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5876841Z test_nnc_correctness_special_chebyshev_polynomial_w_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5877027Z test_nnc_correctness_special_chebyshev_polynomial_w_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5877206Z test_nnc_correctness_special_chebyshev_polynomial_w_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5877386Z test_nnc_correctness_special_chebyshev_polynomial_w_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5877570Z test_nnc_correctness_special_chebyshev_polynomial_w_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5877752Z test_nnc_correctness_special_chebyshev_polynomial_w_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5877972Z test_nnc_correctness_special_entr_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5878188Z test_nnc_correctness_special_entr_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5878403Z test_nnc_correctness_special_entr_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5878621Z test_nnc_correctness_special_entr_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5878832Z test_nnc_correctness_special_entr_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5879032Z test_nnc_correctness_special_entr_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5879239Z test_nnc_correctness_special_entr_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5879483Z test_nnc_correctness_special_entr_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5879697Z test_nnc_correctness_special_entr_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5879907Z test_nnc_correctness_special_erfcx_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5880122Z test_nnc_correctness_special_erfcx_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5880367Z test_nnc_correctness_special_erfcx_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5880583Z test_nnc_correctness_special_erfcx_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5880797Z test_nnc_correctness_special_erfcx_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5881006Z test_nnc_correctness_special_erfcx_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5881221Z test_nnc_correctness_special_erfcx_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5881419Z test_nnc_correctness_special_erfcx_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5881610Z test_nnc_correctness_special_hermite_polynomial_h_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5881801Z test_nnc_correctness_special_hermite_polynomial_h_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5881984Z test_nnc_correctness_special_hermite_polynomial_h_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5882170Z test_nnc_correctness_special_hermite_polynomial_h_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5882352Z test_nnc_correctness_special_hermite_polynomial_h_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5882529Z test_nnc_correctness_special_hermite_polynomial_h_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5882717Z test_nnc_correctness_special_hermite_polynomial_h_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5882905Z test_nnc_correctness_special_hermite_polynomial_h_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5883086Z test_nnc_correctness_special_hermite_polynomial_he_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5883261Z test_nnc_correctness_special_hermite_polynomial_he_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5883444Z test_nnc_correctness_special_hermite_polynomial_he_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5883630Z test_nnc_correctness_special_hermite_polynomial_he_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5883818Z test_nnc_correctness_special_hermite_polynomial_he_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5884008Z test_nnc_correctness_special_hermite_polynomial_he_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5884194Z test_nnc_correctness_special_hermite_polynomial_he_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5884414Z test_nnc_correctness_special_hermite_polynomial_he_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5884638Z test_nnc_correctness_special_i0e_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5884855Z test_nnc_correctness_special_i0e_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5885069Z test_nnc_correctness_special_i0e_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5885273Z test_nnc_correctness_special_i0e_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5885517Z test_nnc_correctness_special_i0e_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5885727Z test_nnc_correctness_special_i0e_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5885937Z test_nnc_correctness_special_i0e_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5886151Z test_nnc_correctness_special_i0e_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5886365Z test_nnc_correctness_special_i0e_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5886579Z test_nnc_correctness_special_i1_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5886793Z test_nnc_correctness_special_i1_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5887002Z test_nnc_correctness_special_i1_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5887214Z test_nnc_correctness_special_i1_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5887424Z test_nnc_correctness_special_i1_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5887630Z test_nnc_correctness_special_i1_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5887829Z test_nnc_correctness_special_i1_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5888043Z test_nnc_correctness_special_i1_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5888250Z test_nnc_correctness_special_i1e_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5888464Z test_nnc_correctness_special_i1e_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5888681Z test_nnc_correctness_special_i1e_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5888896Z test_nnc_correctness_special_i1e_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5889105Z test_nnc_correctness_special_i1e_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5889339Z test_nnc_correctness_special_i1e_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5889550Z test_nnc_correctness_special_i1e_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5889764Z test_nnc_correctness_special_i1e_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5889951Z test_nnc_correctness_special_laguerre_polynomial_l_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5890190Z test_nnc_correctness_special_laguerre_polynomial_l_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5890373Z test_nnc_correctness_special_laguerre_polynomial_l_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5890564Z test_nnc_correctness_special_laguerre_polynomial_l_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5890752Z test_nnc_correctness_special_laguerre_polynomial_l_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5890932Z test_nnc_correctness_special_laguerre_polynomial_l_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5897377Z test_nnc_correctness_special_laguerre_polynomial_l_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5897627Z test_nnc_correctness_special_laguerre_polynomial_l_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5897831Z test_nnc_correctness_special_legendre_polynomial_p_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5898026Z test_nnc_correctness_special_legendre_polynomial_p_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5898217Z test_nnc_correctness_special_legendre_polynomial_p_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5898394Z test_nnc_correctness_special_legendre_polynomial_p_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5898584Z test_nnc_correctness_special_legendre_polynomial_p_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5898903Z test_nnc_correctness_special_legendre_polynomial_p_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5899092Z test_nnc_correctness_special_legendre_polynomial_p_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5899278Z test_nnc_correctness_special_legendre_polynomial_p_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5899505Z test_nnc_correctness_special_log_ndtr_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5899734Z test_nnc_correctness_special_log_ndtr_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5899954Z test_nnc_correctness_special_log_ndtr_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5900171Z test_nnc_correctness_special_log_ndtr_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5900387Z test_nnc_correctness_special_log_ndtr_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5900594Z test_nnc_correctness_special_log_ndtr_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5900910Z test_nnc_correctness_special_log_ndtr_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5901126Z test_nnc_correctness_special_log_ndtr_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5901358Z test_nnc_correctness_special_modified_bessel_i0_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5901589Z test_nnc_correctness_special_modified_bessel_i0_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5901861Z test_nnc_correctness_special_modified_bessel_i0_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5902091Z test_nnc_correctness_special_modified_bessel_i0_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5902316Z test_nnc_correctness_special_modified_bessel_i0_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5902545Z test_nnc_correctness_special_modified_bessel_i0_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5902768Z test_nnc_correctness_special_modified_bessel_i0_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5902998Z test_nnc_correctness_special_modified_bessel_i0_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5903222Z test_nnc_correctness_special_modified_bessel_i1_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5903438Z test_nnc_correctness_special_modified_bessel_i1_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5903667Z test_nnc_correctness_special_modified_bessel_i1_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5903894Z test_nnc_correctness_special_modified_bessel_i1_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5904119Z test_nnc_correctness_special_modified_bessel_i1_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5904347Z test_nnc_correctness_special_modified_bessel_i1_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5904575Z test_nnc_correctness_special_modified_bessel_i1_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5904798Z test_nnc_correctness_special_modified_bessel_i1_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5905022Z test_nnc_correctness_special_modified_bessel_k0_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5905251Z test_nnc_correctness_special_modified_bessel_k0_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5905474Z test_nnc_correctness_special_modified_bessel_k0_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5905723Z test_nnc_correctness_special_modified_bessel_k0_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5905946Z test_nnc_correctness_special_modified_bessel_k0_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5906164Z test_nnc_correctness_special_modified_bessel_k0_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5906375Z test_nnc_correctness_special_modified_bessel_k0_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5906630Z test_nnc_correctness_special_modified_bessel_k0_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5906861Z test_nnc_correctness_special_modified_bessel_k1_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5907087Z test_nnc_correctness_special_modified_bessel_k1_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5907312Z test_nnc_correctness_special_modified_bessel_k1_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5907531Z test_nnc_correctness_special_modified_bessel_k1_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5907755Z test_nnc_correctness_special_modified_bessel_k1_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5907980Z test_nnc_correctness_special_modified_bessel_k1_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5908284Z test_nnc_correctness_special_modified_bessel_k1_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5908515Z test_nnc_correctness_special_modified_bessel_k1_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5908735Z test_nnc_correctness_special_ndtr_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5908953Z test_nnc_correctness_special_ndtr_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5909159Z test_nnc_correctness_special_ndtr_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5909376Z test_nnc_correctness_special_ndtr_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5909588Z test_nnc_correctness_special_ndtr_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5909800Z test_nnc_correctness_special_ndtr_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5910013Z test_nnc_correctness_special_ndtr_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5910228Z test_nnc_correctness_special_ndtr_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5910478Z test_nnc_correctness_special_ndtr_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5910691Z test_nnc_correctness_special_ndtri_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5910907Z test_nnc_correctness_special_ndtri_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5911122Z test_nnc_correctness_special_ndtri_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5911336Z test_nnc_correctness_special_ndtri_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5911581Z test_nnc_correctness_special_ndtri_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5911784Z test_nnc_correctness_special_ndtri_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5911998Z test_nnc_correctness_special_ndtri_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5912209Z test_nnc_correctness_special_ndtri_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5912456Z test_nnc_correctness_special_polygamma_special_polygamma_n_0_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5912702Z test_nnc_correctness_special_polygamma_special_polygamma_n_0_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5912946Z test_nnc_correctness_special_polygamma_special_polygamma_n_0_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5913187Z test_nnc_correctness_special_polygamma_special_polygamma_n_0_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5913431Z test_nnc_correctness_special_polygamma_special_polygamma_n_0_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5913669Z test_nnc_correctness_special_polygamma_special_polygamma_n_0_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5913902Z test_nnc_correctness_special_polygamma_special_polygamma_n_0_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5914146Z test_nnc_correctness_special_polygamma_special_polygamma_n_0_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5914387Z test_nnc_correctness_special_polygamma_special_polygamma_n_0_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5914621Z test_nnc_correctness_special_scaled_modified_bessel_k0_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5914847Z test_nnc_correctness_special_scaled_modified_bessel_k0_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5915086Z test_nnc_correctness_special_scaled_modified_bessel_k0_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5915354Z test_nnc_correctness_special_scaled_modified_bessel_k0_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5915587Z test_nnc_correctness_special_scaled_modified_bessel_k0_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5915817Z test_nnc_correctness_special_scaled_modified_bessel_k0_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5916050Z test_nnc_correctness_special_scaled_modified_bessel_k0_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5916335Z test_nnc_correctness_special_scaled_modified_bessel_k0_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5916566Z test_nnc_correctness_special_scaled_modified_bessel_k1_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5916802Z test_nnc_correctness_special_scaled_modified_bessel_k1_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5917037Z test_nnc_correctness_special_scaled_modified_bessel_k1_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5917269Z test_nnc_correctness_special_scaled_modified_bessel_k1_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5917501Z test_nnc_correctness_special_scaled_modified_bessel_k1_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5917734Z test_nnc_correctness_special_scaled_modified_bessel_k1_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5917952Z test_nnc_correctness_special_scaled_modified_bessel_k1_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5918179Z test_nnc_correctness_special_scaled_modified_bessel_k1_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5918377Z test_nnc_correctness_special_shifted_chebyshev_polynomial_t_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5918580Z test_nnc_correctness_special_shifted_chebyshev_polynomial_t_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5918778Z test_nnc_correctness_special_shifted_chebyshev_polynomial_t_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5918976Z test_nnc_correctness_special_shifted_chebyshev_polynomial_t_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5919172Z test_nnc_correctness_special_shifted_chebyshev_polynomial_t_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5919368Z test_nnc_correctness_special_shifted_chebyshev_polynomial_t_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5919563Z test_nnc_correctness_special_shifted_chebyshev_polynomial_t_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5919757Z test_nnc_correctness_special_shifted_chebyshev_polynomial_t_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5919941Z test_nnc_correctness_special_shifted_chebyshev_polynomial_u_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5920172Z test_nnc_correctness_special_shifted_chebyshev_polynomial_u_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5920370Z test_nnc_correctness_special_shifted_chebyshev_polynomial_u_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5920563Z test_nnc_correctness_special_shifted_chebyshev_polynomial_u_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5920754Z test_nnc_correctness_special_shifted_chebyshev_polynomial_u_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5920945Z test_nnc_correctness_special_shifted_chebyshev_polynomial_u_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5921167Z test_nnc_correctness_special_shifted_chebyshev_polynomial_u_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5921357Z test_nnc_correctness_special_shifted_chebyshev_polynomial_u_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5921552Z test_nnc_correctness_special_shifted_chebyshev_polynomial_v_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5921748Z test_nnc_correctness_special_shifted_chebyshev_polynomial_v_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5921943Z test_nnc_correctness_special_shifted_chebyshev_polynomial_v_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5922125Z test_nnc_correctness_special_shifted_chebyshev_polynomial_v_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5922314Z test_nnc_correctness_special_shifted_chebyshev_polynomial_v_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5922505Z test_nnc_correctness_special_shifted_chebyshev_polynomial_v_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5922696Z test_nnc_correctness_special_shifted_chebyshev_polynomial_v_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5922886Z test_nnc_correctness_special_shifted_chebyshev_polynomial_v_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5923081Z test_nnc_correctness_special_shifted_chebyshev_polynomial_w_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5923277Z test_nnc_correctness_special_shifted_chebyshev_polynomial_w_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5923470Z test_nnc_correctness_special_shifted_chebyshev_polynomial_w_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5923665Z test_nnc_correctness_special_shifted_chebyshev_polynomial_w_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5923855Z test_nnc_correctness_special_shifted_chebyshev_polynomial_w_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5924034Z test_nnc_correctness_special_shifted_chebyshev_polynomial_w_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5924225Z test_nnc_correctness_special_shifted_chebyshev_polynomial_w_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5924414Z test_nnc_correctness_special_shifted_chebyshev_polynomial_w_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.5924648Z test_nnc_correctness_special_spherical_bessel_j0_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5924883Z test_nnc_correctness_special_spherical_bessel_j0_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5925145Z test_nnc_correctness_special_spherical_bessel_j0_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5925375Z test_nnc_correctness_special_spherical_bessel_j0_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5925600Z test_nnc_correctness_special_spherical_bessel_j0_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5925833Z test_nnc_correctness_special_spherical_bessel_j0_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5926087Z test_nnc_correctness_special_spherical_bessel_j0_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5926314Z test_nnc_correctness_special_spherical_bessel_j0_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5926525Z test_nnc_correctness_special_xlog1py_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5926742Z test_nnc_correctness_special_xlog1py_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5927087Z test_nnc_correctness_special_xlog1py_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5927305Z test_nnc_correctness_special_xlog1py_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5927526Z test_nnc_correctness_special_xlog1py_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5927744Z test_nnc_correctness_special_xlog1py_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5927960Z test_nnc_correctness_special_xlog1py_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5928175Z test_nnc_correctness_special_xlog1py_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5928394Z test_nnc_correctness_special_xlog1py_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5928615Z test_nnc_correctness_special_xlog1py_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5928827Z test_nnc_correctness_special_zeta_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5929046Z test_nnc_correctness_special_zeta_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5929250Z test_nnc_correctness_special_zeta_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5929462Z test_nnc_correctness_special_zeta_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5929669Z test_nnc_correctness_special_zeta_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5929884Z test_nnc_correctness_special_zeta_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5930131Z test_nnc_correctness_special_zeta_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5930345Z test_nnc_correctness_special_zeta_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5930554Z test_nnc_correctness_split_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5930763Z test_nnc_correctness_split_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5930976Z test_nnc_correctness_split_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5931216Z test_nnc_correctness_split_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5931430Z test_nnc_correctness_split_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5931626Z test_nnc_correctness_split_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5931828Z test_nnc_correctness_split_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5932025Z test_nnc_correctness_split_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5932231Z test_nnc_correctness_split_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5932437Z test_nnc_correctness_split_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5932640Z test_nnc_correctness_split_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5932842Z test_nnc_correctness_split_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5933050Z test_nnc_correctness_split_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5933268Z test_nnc_correctness_split_list_args_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5933484Z test_nnc_correctness_split_list_args_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5933707Z test_nnc_correctness_split_list_args_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5933930Z test_nnc_correctness_split_list_args_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5934136Z test_nnc_correctness_split_list_args_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5934355Z test_nnc_correctness_split_list_args_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5934571Z test_nnc_correctness_split_list_args_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5934783Z test_nnc_correctness_split_list_args_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5935030Z test_nnc_correctness_split_list_args_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5935245Z test_nnc_correctness_split_list_args_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5935458Z test_nnc_correctness_split_list_args_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5935669Z test_nnc_correctness_split_list_args_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5935918Z test_nnc_correctness_split_with_sizes_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5936132Z test_nnc_correctness_split_with_sizes_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5936354Z test_nnc_correctness_split_with_sizes_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5936563Z test_nnc_correctness_split_with_sizes_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5936783Z test_nnc_correctness_split_with_sizes_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5937004Z test_nnc_correctness_split_with_sizes_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5937220Z test_nnc_correctness_split_with_sizes_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5937440Z test_nnc_correctness_split_with_sizes_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5937654Z test_nnc_correctness_split_with_sizes_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5937868Z test_nnc_correctness_split_with_sizes_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5938080Z test_nnc_correctness_split_with_sizes_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5938294Z test_nnc_correctness_split_with_sizes_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5938510Z test_nnc_correctness_split_with_sizes_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5938716Z test_nnc_correctness_sqrt_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5939031Z test_nnc_correctness_sqrt_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5939233Z test_nnc_correctness_sqrt_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5939445Z test_nnc_correctness_sqrt_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5939651Z test_nnc_correctness_sqrt_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5939900Z test_nnc_correctness_sqrt_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5940104Z test_nnc_correctness_sqrt_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5940306Z test_nnc_correctness_sqrt_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5940509Z test_nnc_correctness_sqrt_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5940750Z test_nnc_correctness_sqrt_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5940955Z test_nnc_correctness_sqrt_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5941168Z test_nnc_correctness_square_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5941377Z test_nnc_correctness_square_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5941581Z test_nnc_correctness_square_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5941795Z test_nnc_correctness_square_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5942007Z test_nnc_correctness_square_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5942212Z test_nnc_correctness_square_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5942412Z test_nnc_correctness_square_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5942619Z test_nnc_correctness_square_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5942821Z test_nnc_correctness_square_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5943021Z test_nnc_correctness_square_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5943228Z test_nnc_correctness_square_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5943436Z test_nnc_correctness_square_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5943645Z test_nnc_correctness_squeeze_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5943853Z test_nnc_correctness_squeeze_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5944055Z test_nnc_correctness_squeeze_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5944271Z test_nnc_correctness_squeeze_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5944488Z test_nnc_correctness_squeeze_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5944729Z test_nnc_correctness_squeeze_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5944944Z test_nnc_correctness_squeeze_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5945155Z test_nnc_correctness_squeeze_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5945362Z test_nnc_correctness_squeeze_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5945593Z test_nnc_correctness_squeeze_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5945794Z test_nnc_correctness_squeeze_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5946002Z test_nnc_correctness_squeeze_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5946213Z test_nnc_correctness_squeeze_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5946408Z test_nnc_correctness_stack_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5946613Z test_nnc_correctness_stack_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5946831Z test_nnc_correctness_stack_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5947047Z test_nnc_correctness_stack_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5947259Z test_nnc_correctness_stack_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5947468Z test_nnc_correctness_stack_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5947676Z test_nnc_correctness_stack_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5947882Z test_nnc_correctness_stack_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5948089Z test_nnc_correctness_stack_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5948407Z test_nnc_correctness_stack_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5948621Z test_nnc_correctness_stack_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5948813Z test_nnc_correctness_stack_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5949023Z test_nnc_correctness_stack_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5949233Z test_nnc_correctness_std_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5949446Z test_nnc_correctness_std_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5949693Z test_nnc_correctness_std_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5949902Z test_nnc_correctness_std_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5950104Z test_nnc_correctness_std_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5950307Z test_nnc_correctness_std_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5950563Z test_nnc_correctness_std_mean_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5950776Z test_nnc_correctness_std_mean_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5950992Z test_nnc_correctness_std_mean_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5951193Z test_nnc_correctness_std_mean_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5951403Z test_nnc_correctness_std_mean_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5951605Z test_nnc_correctness_std_mean_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5951819Z test_nnc_correctness_stft_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5952034Z test_nnc_correctness_stft_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5952241Z test_nnc_correctness_stft_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5952442Z test_nnc_correctness_stft_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5952641Z test_nnc_correctness_sub_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5952850Z test_nnc_correctness_sub_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5953067Z test_nnc_correctness_sub_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5953277Z test_nnc_correctness_sub_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5953471Z test_nnc_correctness_sub_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5953671Z test_nnc_correctness_sub_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5953879Z test_nnc_correctness_sub_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5954085Z test_nnc_correctness_sub_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5954288Z test_nnc_correctness_sub_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5954521Z test_nnc_correctness_sub_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5954728Z test_nnc_correctness_sub_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5954927Z test_nnc_correctness_sub_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5955135Z test_nnc_correctness_sum_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5955366Z test_nnc_correctness_sum_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5955572Z test_nnc_correctness_sum_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5955770Z test_nnc_correctness_sum_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5955973Z test_nnc_correctness_sum_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5956169Z test_nnc_correctness_sum_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5956371Z test_nnc_correctness_sum_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5956576Z test_nnc_correctness_sum_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5956777Z test_nnc_correctness_sum_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5956981Z test_nnc_correctness_sum_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5957181Z test_nnc_correctness_sum_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5957380Z test_nnc_correctness_sum_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5957601Z test_nnc_correctness_sum_to_size_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5957815Z test_nnc_correctness_sum_to_size_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5958035Z test_nnc_correctness_sum_to_size_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5958241Z test_nnc_correctness_sum_to_size_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5958452Z test_nnc_correctness_sum_to_size_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5958663Z test_nnc_correctness_sum_to_size_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5958873Z test_nnc_correctness_sum_to_size_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5959083Z test_nnc_correctness_sum_to_size_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5959316Z test_nnc_correctness_sum_to_size_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5959526Z test_nnc_correctness_sum_to_size_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5959738Z test_nnc_correctness_sum_to_size_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5959947Z test_nnc_correctness_sum_to_size_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5960187Z test_nnc_correctness_svd_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5960394Z test_nnc_correctness_svd_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5960587Z test_nnc_correctness_svd_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5960791Z test_nnc_correctness_svd_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5961003Z test_nnc_correctness_svd_lowrank_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5961212Z test_nnc_correctness_svd_lowrank_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5961427Z test_nnc_correctness_symeig_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5961639Z test_nnc_correctness_symeig_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5961848Z test_nnc_correctness_symeig_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5962057Z test_nnc_correctness_symeig_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5962261Z test_nnc_correctness_t_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5962464Z test_nnc_correctness_t_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5962673Z test_nnc_correctness_t_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5962870Z test_nnc_correctness_t_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5963072Z test_nnc_correctness_t_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5963273Z test_nnc_correctness_t_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5963473Z test_nnc_correctness_t_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5963674Z test_nnc_correctness_t_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5963875Z test_nnc_correctness_t_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5964101Z test_nnc_correctness_t_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5964303Z test_nnc_correctness_t_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5964499Z test_nnc_correctness_t_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5964717Z test_nnc_correctness_take_along_dim_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5964961Z test_nnc_correctness_take_along_dim_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5965171Z test_nnc_correctness_take_along_dim_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5965393Z test_nnc_correctness_take_along_dim_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5965611Z test_nnc_correctness_take_along_dim_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5965827Z test_nnc_correctness_take_along_dim_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5966042Z test_nnc_correctness_take_along_dim_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5966255Z test_nnc_correctness_take_along_dim_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5966470Z test_nnc_correctness_take_along_dim_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5966684Z test_nnc_correctness_take_along_dim_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5966896Z test_nnc_correctness_take_along_dim_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5967111Z test_nnc_correctness_take_along_dim_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5967321Z test_nnc_correctness_take_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5967523Z test_nnc_correctness_take_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5967724Z test_nnc_correctness_take_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5967933Z test_nnc_correctness_take_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5968141Z test_nnc_correctness_take_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5968340Z test_nnc_correctness_take_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5968539Z test_nnc_correctness_take_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5968771Z test_nnc_correctness_take_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5968977Z test_nnc_correctness_take_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5969179Z test_nnc_correctness_take_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5969384Z test_nnc_correctness_take_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5969586Z test_nnc_correctness_take_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5969820Z test_nnc_correctness_tan_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5970011Z test_nnc_correctness_tan_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5970220Z test_nnc_correctness_tan_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5970432Z test_nnc_correctness_tan_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5970635Z test_nnc_correctness_tan_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5970834Z test_nnc_correctness_tan_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5971037Z test_nnc_correctness_tan_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5971238Z test_nnc_correctness_tan_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5971441Z test_nnc_correctness_tan_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5971643Z test_nnc_correctness_tan_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5971844Z test_nnc_correctness_tan_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5972051Z test_nnc_correctness_tanh_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5972242Z test_nnc_correctness_tanh_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5972453Z test_nnc_correctness_tanh_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5972662Z test_nnc_correctness_tanh_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5972867Z test_nnc_correctness_tanh_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5973066Z test_nnc_correctness_tanh_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5973269Z test_nnc_correctness_tanh_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5973472Z test_nnc_correctness_tanh_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5973744Z test_nnc_correctness_tanh_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5973947Z test_nnc_correctness_tanh_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5974149Z test_nnc_correctness_tanh_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5974364Z test_nnc_correctness_tensor_split_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5974594Z test_nnc_correctness_tensor_split_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5974819Z test_nnc_correctness_tensor_split_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5975038Z test_nnc_correctness_tensor_split_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5975253Z test_nnc_correctness_tensor_split_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5975471Z test_nnc_correctness_tensor_split_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5975684Z test_nnc_correctness_tensor_split_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5975896Z test_nnc_correctness_tensor_split_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5976111Z test_nnc_correctness_tensor_split_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5976316Z test_nnc_correctness_tensor_split_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5976530Z test_nnc_correctness_tensor_split_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5976739Z test_nnc_correctness_tensor_split_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5976949Z test_nnc_correctness_tensordot_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5977156Z test_nnc_correctness_tensordot_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5977371Z test_nnc_correctness_tensordot_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5977582Z test_nnc_correctness_tensordot_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5977798Z test_nnc_correctness_tensordot_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5978008Z test_nnc_correctness_tensordot_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5978217Z test_nnc_correctness_tensordot_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5978456Z test_nnc_correctness_tensordot_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5978665Z test_nnc_correctness_tensordot_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5978990Z test_nnc_correctness_tensordot_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5979203Z test_nnc_correctness_tile_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5979405Z test_nnc_correctness_tile_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5979644Z test_nnc_correctness_tile_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5979852Z test_nnc_correctness_tile_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5980058Z test_nnc_correctness_tile_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5980258Z test_nnc_correctness_tile_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5980454Z test_nnc_correctness_tile_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5980663Z test_nnc_correctness_tile_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5980867Z test_nnc_correctness_tile_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5981072Z test_nnc_correctness_tile_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5981273Z test_nnc_correctness_tile_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5981473Z test_nnc_correctness_tile_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5981680Z test_nnc_correctness_to_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5981871Z test_nnc_correctness_to_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5982079Z test_nnc_correctness_to_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5982292Z test_nnc_correctness_to_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5982495Z test_nnc_correctness_to_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5982696Z test_nnc_correctness_to_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5982897Z test_nnc_correctness_to_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5983104Z test_nnc_correctness_to_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5983337Z test_nnc_correctness_to_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5983538Z test_nnc_correctness_to_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5983739Z test_nnc_correctness_to_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5983936Z test_nnc_correctness_to_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5984137Z test_nnc_correctness_to_sparse_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5984385Z test_nnc_correctness_to_sparse_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5984602Z test_nnc_correctness_to_sparse_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5984815Z test_nnc_correctness_to_sparse_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5985028Z test_nnc_correctness_to_sparse_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5985239Z test_nnc_correctness_to_sparse_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5985444Z test_nnc_correctness_to_sparse_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5985655Z test_nnc_correctness_to_sparse_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5985867Z test_nnc_correctness_to_sparse_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5986072Z test_nnc_correctness_to_sparse_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5986281Z test_nnc_correctness_to_sparse_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5986487Z test_nnc_correctness_to_sparse_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5986686Z test_nnc_correctness_topk_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5986890Z test_nnc_correctness_topk_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5987088Z test_nnc_correctness_topk_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5987291Z test_nnc_correctness_topk_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5987492Z test_nnc_correctness_topk_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5987695Z test_nnc_correctness_topk_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5987898Z test_nnc_correctness_topk_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5988130Z test_nnc_correctness_topk_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5988437Z test_nnc_correctness_trace_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5988650Z test_nnc_correctness_trace_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5988862Z test_nnc_correctness_trace_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5989056Z test_nnc_correctness_trace_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5989297Z test_nnc_correctness_trace_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5989498Z test_nnc_correctness_trace_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5989696Z test_nnc_correctness_trace_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5989903Z test_nnc_correctness_trace_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5990109Z test_nnc_correctness_trace_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5990323Z test_nnc_correctness_transpose_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5990535Z test_nnc_correctness_transpose_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5990755Z test_nnc_correctness_transpose_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5990972Z test_nnc_correctness_transpose_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5991187Z test_nnc_correctness_transpose_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5991386Z test_nnc_correctness_transpose_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5991603Z test_nnc_correctness_transpose_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5991815Z test_nnc_correctness_transpose_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5992026Z test_nnc_correctness_transpose_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5992236Z test_nnc_correctness_transpose_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5992444Z test_nnc_correctness_transpose_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5992651Z test_nnc_correctness_transpose_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5992860Z test_nnc_correctness_transpose_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5993104Z test_nnc_correctness_trapezoid_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5993321Z test_nnc_correctness_trapezoid_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5993538Z test_nnc_correctness_trapezoid_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5993739Z test_nnc_correctness_trapezoid_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5993944Z test_nnc_correctness_trapezoid_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5994185Z test_nnc_correctness_trapezoid_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5994399Z test_nnc_correctness_trapezoid_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5994601Z test_nnc_correctness_trapezoid_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5994810Z test_nnc_correctness_trapezoid_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5995020Z test_nnc_correctness_trapezoid_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5995229Z test_nnc_correctness_trapezoid_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5995433Z test_nnc_correctness_trapz_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5995646Z test_nnc_correctness_trapz_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5995853Z test_nnc_correctness_trapz_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5996061Z test_nnc_correctness_trapz_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5996252Z test_nnc_correctness_trapz_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5996452Z test_nnc_correctness_trapz_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5996690Z test_nnc_correctness_trapz_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5996982Z test_nnc_correctness_trapz_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5997185Z test_nnc_correctness_trapz_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5997387Z test_nnc_correctness_trapz_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5997592Z test_nnc_correctness_trapz_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5997819Z test_nnc_correctness_triangular_solve_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5998076Z test_nnc_correctness_triangular_solve_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5998297Z test_nnc_correctness_triangular_solve_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5998517Z test_nnc_correctness_triangular_solve_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5998714Z test_nnc_correctness_tril_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5998946Z test_nnc_correctness_tril_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5999153Z test_nnc_correctness_tril_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5999367Z test_nnc_correctness_tril_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5999579Z test_nnc_correctness_tril_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5999784Z test_nnc_correctness_tril_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.5999984Z test_nnc_correctness_tril_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6000185Z test_nnc_correctness_tril_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6000392Z test_nnc_correctness_tril_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6000599Z test_nnc_correctness_tril_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6000801Z test_nnc_correctness_tril_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6000991Z test_nnc_correctness_tril_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6001203Z test_nnc_correctness_tril_indices_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6001417Z test_nnc_correctness_tril_indices_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6001630Z test_nnc_correctness_triu_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6001834Z test_nnc_correctness_triu_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6002043Z test_nnc_correctness_triu_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6002251Z test_nnc_correctness_triu_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6002459Z test_nnc_correctness_triu_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6002662Z test_nnc_correctness_triu_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6002889Z test_nnc_correctness_triu_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6003090Z test_nnc_correctness_triu_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6003278Z test_nnc_correctness_triu_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6003480Z test_nnc_correctness_triu_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6003713Z test_nnc_correctness_triu_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6003915Z test_nnc_correctness_triu_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6004132Z test_nnc_correctness_triu_indices_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6004342Z test_nnc_correctness_triu_indices_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6004560Z test_nnc_correctness_true_divide_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6004779Z test_nnc_correctness_true_divide_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6005004Z test_nnc_correctness_true_divide_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6005227Z test_nnc_correctness_true_divide_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6005449Z test_nnc_correctness_true_divide_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6005666Z test_nnc_correctness_true_divide_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6005868Z test_nnc_correctness_true_divide_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6006081Z test_nnc_correctness_true_divide_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6006295Z test_nnc_correctness_true_divide_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6006511Z test_nnc_correctness_true_divide_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6006726Z test_nnc_correctness_true_divide_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6006940Z test_nnc_correctness_true_divide_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6007153Z test_nnc_correctness_trunc_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6007363Z test_nnc_correctness_trunc_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6007671Z test_nnc_correctness_trunc_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6007934Z test_nnc_correctness_trunc_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6008138Z test_nnc_correctness_trunc_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6008324Z test_nnc_correctness_trunc_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6008527Z test_nnc_correctness_trunc_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6008767Z test_nnc_correctness_trunc_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6008984Z test_nnc_correctness_unbind_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6009192Z test_nnc_correctness_unbind_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6009407Z test_nnc_correctness_unbind_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6009624Z test_nnc_correctness_unbind_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6009840Z test_nnc_correctness_unbind_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6010050Z test_nnc_correctness_unbind_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6010255Z test_nnc_correctness_unbind_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6010453Z test_nnc_correctness_unbind_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6010646Z test_nnc_correctness_unbind_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6010854Z test_nnc_correctness_unbind_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6011060Z test_nnc_correctness_unbind_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6011265Z test_nnc_correctness_unbind_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6011467Z test_nnc_correctness_unbind_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6011685Z test_nnc_correctness_unflatten_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6011897Z test_nnc_correctness_unflatten_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6012117Z test_nnc_correctness_unflatten_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6012335Z test_nnc_correctness_unflatten_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6012584Z test_nnc_correctness_unflatten_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6012805Z test_nnc_correctness_unflatten_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6013013Z test_nnc_correctness_unflatten_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6013215Z test_nnc_correctness_unflatten_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6013428Z test_nnc_correctness_unflatten_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6013668Z test_nnc_correctness_unflatten_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6013881Z test_nnc_correctness_unflatten_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6014090Z test_nnc_correctness_unflatten_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6014299Z test_nnc_correctness_unflatten_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6014512Z test_nnc_correctness_unfold_copy_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6014727Z test_nnc_correctness_unfold_copy_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6014947Z test_nnc_correctness_unfold_copy_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6015166Z test_nnc_correctness_unfold_copy_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6015384Z test_nnc_correctness_unfold_copy_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6015586Z test_nnc_correctness_unfold_copy_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6015797Z test_nnc_correctness_unfold_copy_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6016008Z test_nnc_correctness_unfold_copy_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6016222Z test_nnc_correctness_unfold_copy_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6016433Z test_nnc_correctness_unfold_copy_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6016643Z test_nnc_correctness_unfold_copy_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6016856Z test_nnc_correctness_unfold_copy_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6017068Z test_nnc_correctness_unfold_copy_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6017281Z test_nnc_correctness_unfold_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6017519Z test_nnc_correctness_unfold_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6017729Z test_nnc_correctness_unfold_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6017941Z test_nnc_correctness_unfold_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6018135Z test_nnc_correctness_unfold_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6018383Z test_nnc_correctness_unfold_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6018584Z test_nnc_correctness_unfold_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6018893Z test_nnc_correctness_unfold_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6019105Z test_nnc_correctness_unfold_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6019310Z test_nnc_correctness_unfold_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6019508Z test_nnc_correctness_unfold_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6019714Z test_nnc_correctness_unfold_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6019922Z test_nnc_correctness_unfold_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6020132Z test_nnc_correctness_uniform_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6020345Z test_nnc_correctness_uniform_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6020545Z test_nnc_correctness_uniform_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6020755Z test_nnc_correctness_uniform_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6020966Z test_nnc_correctness_uniform_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6021173Z test_nnc_correctness_uniform_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6021401Z test_nnc_correctness_unique_consecutive_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6021619Z test_nnc_correctness_unique_consecutive_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6021842Z test_nnc_correctness_unique_consecutive_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6022067Z test_nnc_correctness_unique_consecutive_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6022338Z test_nnc_correctness_unique_consecutive_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6022559Z test_nnc_correctness_unique_consecutive_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6022780Z test_nnc_correctness_unique_consecutive_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6022997Z test_nnc_correctness_unique_consecutive_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6023203Z test_nnc_correctness_unique_consecutive_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6023453Z test_nnc_correctness_unique_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6023662Z test_nnc_correctness_unique_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6023869Z test_nnc_correctness_unique_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6024074Z test_nnc_correctness_unique_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6024278Z test_nnc_correctness_unique_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6024480Z test_nnc_correctness_unique_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6024688Z test_nnc_correctness_unique_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6024895Z test_nnc_correctness_unique_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6025095Z test_nnc_correctness_unique_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6025309Z test_nnc_correctness_unsqueeze_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6025508Z test_nnc_correctness_unsqueeze_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6025726Z test_nnc_correctness_unsqueeze_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6025942Z test_nnc_correctness_unsqueeze_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6026161Z test_nnc_correctness_unsqueeze_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6026374Z test_nnc_correctness_unsqueeze_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6026587Z test_nnc_correctness_unsqueeze_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6026791Z test_nnc_correctness_unsqueeze_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6027002Z test_nnc_correctness_unsqueeze_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6027242Z test_nnc_correctness_unsqueeze_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6027446Z test_nnc_correctness_unsqueeze_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6027654Z test_nnc_correctness_unsqueeze_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6027852Z test_nnc_correctness_unsqueeze_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6028085Z test_nnc_correctness_var_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6028353Z test_nnc_correctness_var_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6028567Z test_nnc_correctness_var_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6028771Z test_nnc_correctness_var_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6028978Z test_nnc_correctness_var_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6029179Z test_nnc_correctness_var_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6029393Z test_nnc_correctness_var_mean_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6029613Z test_nnc_correctness_var_mean_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6029829Z test_nnc_correctness_var_mean_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6030041Z test_nnc_correctness_var_mean_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6030251Z test_nnc_correctness_var_mean_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6030445Z test_nnc_correctness_var_mean_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6030657Z test_nnc_correctness_vdot_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6030868Z test_nnc_correctness_vdot_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6031075Z test_nnc_correctness_vdot_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6031281Z test_nnc_correctness_vdot_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6031480Z test_nnc_correctness_vdot_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6031684Z test_nnc_correctness_vdot_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6031890Z test_nnc_correctness_vdot_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6032133Z test_nnc_correctness_vdot_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6032337Z test_nnc_correctness_vdot_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6032542Z test_nnc_correctness_vdot_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6032703Z test_nnc_correctness_view_as_complex_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.6032922Z test_nnc_correctness_view_as_complex_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6033168Z test_nnc_correctness_view_as_complex_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6033383Z test_nnc_correctness_view_as_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6033587Z test_nnc_correctness_view_as_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6033799Z test_nnc_correctness_view_as_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6034013Z test_nnc_correctness_view_as_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6034224Z test_nnc_correctness_view_as_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6034432Z test_nnc_correctness_view_as_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6034645Z test_nnc_correctness_view_as_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6034845Z test_nnc_correctness_view_as_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6035042Z test_nnc_correctness_view_as_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6035241Z test_nnc_correctness_view_as_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6035440Z test_nnc_correctness_view_as_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6035648Z test_nnc_correctness_view_as_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6035853Z test_nnc_correctness_view_as_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6036071Z test_nnc_correctness_view_as_real_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6036290Z test_nnc_correctness_view_as_real_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6036506Z test_nnc_correctness_view_copy_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6036714Z test_nnc_correctness_view_copy_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6036955Z test_nnc_correctness_view_copy_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6037168Z test_nnc_correctness_view_copy_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6037366Z test_nnc_correctness_view_copy_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6037575Z test_nnc_correctness_view_copy_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6037812Z test_nnc_correctness_view_copy_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6038019Z test_nnc_correctness_view_copy_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6038279Z test_nnc_correctness_view_copy_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6038533Z test_nnc_correctness_view_copy_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6038743Z test_nnc_correctness_view_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6038946Z test_nnc_correctness_view_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6039161Z test_nnc_correctness_view_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6039369Z test_nnc_correctness_view_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6039568Z test_nnc_correctness_view_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6039764Z test_nnc_correctness_view_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6039961Z test_nnc_correctness_view_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6040156Z test_nnc_correctness_view_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6040360Z test_nnc_correctness_view_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6040566Z test_nnc_correctness_view_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6040768Z test_nnc_correctness_view_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6040971Z test_nnc_correctness_view_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6041174Z test_nnc_correctness_view_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6041382Z test_nnc_correctness_vsplit_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6041592Z test_nnc_correctness_vsplit_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6041841Z test_nnc_correctness_vsplit_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6042054Z test_nnc_correctness_vsplit_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6042255Z test_nnc_correctness_vsplit_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6042468Z test_nnc_correctness_vsplit_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6042705Z test_nnc_correctness_vsplit_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6042906Z test_nnc_correctness_vsplit_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6043114Z test_nnc_correctness_vsplit_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6043319Z test_nnc_correctness_vsplit_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6043521Z test_nnc_correctness_vsplit_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6043726Z test_nnc_correctness_vsplit_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6043931Z test_nnc_correctness_vsplit_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6044146Z test_nnc_correctness_vstack_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6044348Z test_nnc_correctness_vstack_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6044550Z test_nnc_correctness_vstack_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6044762Z test_nnc_correctness_vstack_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6044975Z test_nnc_correctness_vstack_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6045186Z test_nnc_correctness_vstack_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6045395Z test_nnc_correctness_vstack_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6045598Z test_nnc_correctness_vstack_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6045804Z test_nnc_correctness_vstack_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6046003Z test_nnc_correctness_vstack_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6046207Z test_nnc_correctness_vstack_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6046408Z test_nnc_correctness_vstack_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6046635Z test_nnc_correctness_vstack_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6046832Z test_nnc_correctness_where_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6047037Z test_nnc_correctness_where_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6047248Z test_nnc_correctness_where_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6047526Z test_nnc_correctness_where_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6047736Z test_nnc_correctness_where_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6047942Z test_nnc_correctness_where_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6048146Z test_nnc_correctness_where_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6048343Z test_nnc_correctness_where_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6048548Z test_nnc_correctness_where_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6048759Z test_nnc_correctness_where_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6049044Z test_nnc_correctness_where_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6049283Z test_nnc_correctness_where_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6049513Z test_nnc_correctness_where_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6049761Z test_nnc_correctness_xlogy_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6049972Z test_nnc_correctness_xlogy_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6050179Z test_nnc_correctness_xlogy_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6050382Z test_nnc_correctness_xlogy_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6050590Z test_nnc_correctness_xlogy_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6050795Z test_nnc_correctness_xlogy_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6050994Z test_nnc_correctness_xlogy_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6051202Z test_nnc_correctness_xlogy_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6051405Z test_nnc_correctness_xlogy_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6051629Z test_nnc_correctness_xlogy_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6051836Z test_nnc_correctness_zero__cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6052044Z test_nnc_correctness_zero__cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6052255Z test_nnc_correctness_zero__cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6052516Z test_nnc_correctness_zero__cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6052718Z test_nnc_correctness_zero__cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6052926Z test_nnc_correctness_zero__cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6053126Z test_nnc_correctness_zero__cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6053327Z test_nnc_correctness_zero__cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6053524Z test_nnc_correctness_zero__cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6053727Z test_nnc_correctness_zero__cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6053931Z test_nnc_correctness_zero__cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6054127Z test_nnc_correctness_zero__cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6054337Z test_nnc_correctness_zeros_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6054541Z test_nnc_correctness_zeros_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6054753Z test_nnc_correctness_zeros_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6054964Z test_nnc_correctness_zeros_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6055171Z test_nnc_correctness_zeros_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6055377Z test_nnc_correctness_zeros_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6055578Z test_nnc_correctness_zeros_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6055777Z test_nnc_correctness_zeros_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6055982Z test_nnc_correctness_zeros_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6056182Z test_nnc_correctness_zeros_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6056400Z test_nnc_correctness_zeros_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6056605Z test_nnc_correctness_zeros_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6056810Z test_nnc_correctness_zeros_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6057023Z test_nnc_correctness_zeros_like_cpu_bfloat16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6057257Z test_nnc_correctness_zeros_like_cpu_bool (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6057473Z test_nnc_correctness_zeros_like_cpu_complex128 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6057693Z test_nnc_correctness_zeros_like_cpu_complex32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6057910Z test_nnc_correctness_zeros_like_cpu_complex64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6058122Z test_nnc_correctness_zeros_like_cpu_float16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6058332Z test_nnc_correctness_zeros_like_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6058545Z test_nnc_correctness_zeros_like_cpu_float64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6058859Z test_nnc_correctness_zeros_like_cpu_int16 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6059066Z test_nnc_correctness_zeros_like_cpu_int32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6059278Z test_nnc_correctness_zeros_like_cpu_int64 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6059485Z test_nnc_correctness_zeros_like_cpu_int8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6059726Z test_nnc_correctness_zeros_like_cpu_uint8 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6059873Z test_unsupported_H_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6060012Z test_unsupported_T_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6060163Z test_unsupported___getitem___cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6060314Z test_unsupported___rpow___cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6060457Z test_unsupported___rsub___cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6060611Z test_unsupported__softmax_backward_data_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6060812Z test_unsupported_acosh_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6060958Z test_unsupported_addbmm_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6061108Z test_unsupported_addcdiv_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6061253Z test_unsupported_addmm_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6061393Z test_unsupported_addmv_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6061592Z test_unsupported_addr_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6061733Z test_unsupported_all_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6061867Z test_unsupported_allclose_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6062006Z test_unsupported_amax_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6062145Z test_unsupported_amin_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6062291Z test_unsupported_aminmax_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6062473Z test_unsupported_angle_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6062617Z test_unsupported_any_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6062762Z test_unsupported_arange_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6062910Z test_unsupported_argmax_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6063043Z test_unsupported_argmin_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6063189Z test_unsupported_argsort_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6063337Z test_unsupported_argwhere_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6063485Z test_unsupported_as_strided_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6063648Z test_unsupported_as_strided_scatter_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6063794Z test_unsupported_asinh_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6063939Z test_unsupported_atanh_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6064087Z test_unsupported_atleast_1d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6064220Z test_unsupported_atleast_2d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6064365Z test_unsupported_atleast_3d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6064513Z test_unsupported_baddbmm_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6064662Z test_unsupported_bernoulli_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6064811Z test_unsupported_bfloat16_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6064959Z test_unsupported_block_diag_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6065102Z test_unsupported_bmm_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6065262Z test_unsupported_broadcast_shapes_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6065423Z test_unsupported_broadcast_tensors_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6065566Z test_unsupported_broadcast_to_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6065716Z test_unsupported_bucketize_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6065871Z test_unsupported_cartesian_prod_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6066013Z test_unsupported_cat_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6066156Z test_unsupported_cdist_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6066302Z test_unsupported_cdouble_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6066447Z test_unsupported_cfloat_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6066591Z test_unsupported_chalf_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6066729Z test_unsupported_cholesky_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6066913Z test_unsupported_cholesky_inverse_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6067069Z test_unsupported_cholesky_solve_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6067215Z test_unsupported_chunk_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6067364Z test_unsupported_clamp_max_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6067509Z test_unsupported_clamp_min_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6067652Z test_unsupported_clone_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6067833Z test_unsupported_column_stack_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6067970Z test_unsupported_combinations_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6068119Z test_unsupported_complex_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6068337Z test_unsupported_conj_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6068492Z test_unsupported_conj_physical_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6068649Z test_unsupported_constant_pad_nd_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6068800Z test_unsupported_copysign_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6068945Z test_unsupported_corrcoef_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6069099Z test_unsupported_count_nonzero_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6069230Z test_unsupported_cov_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6069373Z test_unsupported_cross_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6069521Z test_unsupported_cummax_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6069666Z test_unsupported_cummin_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6069813Z test_unsupported_cumprod_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6069959Z test_unsupported_cumsum_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6070123Z test_unsupported_cumulative_trapezoid_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6070273Z test_unsupported_deg2rad_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6070417Z test_unsupported_diag_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6070554Z test_unsupported_diag_embed_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6070700Z test_unsupported_diagflat_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6070853Z test_unsupported_diagonal_copy_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6071000Z test_unsupported_diagonal_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6071157Z test_unsupported_diagonal_scatter_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6071300Z test_unsupported_diff_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6071502Z test_unsupported_digamma_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6071643Z test_unsupported_dist_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6071771Z test_unsupported_dot_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6071915Z test_unsupported_dsplit_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6072062Z test_unsupported_dstack_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6072203Z test_unsupported_einsum_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6072381Z test_unsupported_empty_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6072532Z test_unsupported_empty_like_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6072674Z test_unsupported_equal_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6072818Z test_unsupported_erfinv_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6072945Z test_unsupported_exp2_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6073084Z test_unsupported_eye_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6073229Z test_unsupported_fft_fft2_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6073401Z test_unsupported_fft_fft_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6073541Z test_unsupported_fft_fftn_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6073693Z test_unsupported_fft_fftshift_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6073837Z test_unsupported_fft_hfft2_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6073979Z test_unsupported_fft_hfft_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6074111Z test_unsupported_fft_hfftn_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6074250Z test_unsupported_fft_ifft2_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6074390Z test_unsupported_fft_ifft_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6074530Z test_unsupported_fft_ifftn_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6074685Z test_unsupported_fft_ifftshift_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6074830Z test_unsupported_fft_ihfft2_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6074973Z test_unsupported_fft_ihfft_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6075116Z test_unsupported_fft_ihfftn_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6075257Z test_unsupported_fft_irfft2_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6075385Z test_unsupported_fft_irfft_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6075533Z test_unsupported_fft_irfftn_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6075677Z test_unsupported_fft_rfft2_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6075821Z test_unsupported_fft_rfft_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6075965Z test_unsupported_fft_rfftn_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6076124Z test_unsupported_fill_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: No fill_ op (0.001s) 2022-11-23T01:39:02.6076271Z test_unsupported_flatten_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6076410Z test_unsupported_flip_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6076541Z test_unsupported_fliplr_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6076684Z test_unsupported_flipud_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6076832Z test_unsupported_float_power_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6076982Z test_unsupported_floor_divide_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6077122Z test_unsupported_fmax_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6077263Z test_unsupported_fmin_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6077406Z test_unsupported_frexp_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6077544Z test_unsupported_full_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6077706Z test_unsupported_full_like_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6077852Z test_unsupported_gather_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6077992Z test_unsupported_geqrf_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6078139Z test_unsupported_gradient_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6078292Z test_unsupported_grid_sampler_2d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6078438Z test_unsupported_heaviside_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6078607Z test_unsupported_histc_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6078755Z test_unsupported_histogram_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6078894Z test_unsupported_histogramdd_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6079039Z test_unsupported_hsplit_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6079179Z test_unsupported_hstack_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6079320Z test_unsupported_hypot_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6079459Z test_unsupported_i0_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6079601Z test_unsupported_igamma_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6079750Z test_unsupported_igammac_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6079896Z test_unsupported_index_add_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6080042Z test_unsupported_index_copy_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6080174Z test_unsupported_index_fill_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6080318Z test_unsupported_index_put_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6080467Z test_unsupported_index_reduce_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6080614Z test_unsupported_index_select_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6080756Z test_unsupported_inner_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6080900Z test_unsupported_isclose_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6081046Z test_unsupported_isfinite_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6081191Z test_unsupported_isin_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6081320Z test_unsupported_isinf_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6081466Z test_unsupported_isneginf_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6081610Z test_unsupported_isposinf_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6081752Z test_unsupported_isreal_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6081967Z test_unsupported_jiterator_2inputs_2outputs_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.6082212Z test_unsupported_jiterator_4inputs_with_extra_args_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.6082393Z test_unsupported_jiterator_binary_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.6082587Z test_unsupported_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.6082766Z test_unsupported_jiterator_unary_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:39:02.6082928Z test_unsupported_kron_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6083080Z test_unsupported_kthvalue_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6083223Z test_unsupported_ldexp_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6083375Z test_unsupported_linalg_cholesky_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6083534Z test_unsupported_linalg_cholesky_ex_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6083685Z test_unsupported_linalg_cond_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6083864Z test_unsupported_linalg_cross_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6084011Z test_unsupported_linalg_det_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6084159Z test_unsupported_linalg_det_singular_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6084310Z test_unsupported_linalg_eig_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6084467Z test_unsupported_linalg_eigh_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6084619Z test_unsupported_linalg_eigvals_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6084773Z test_unsupported_linalg_eigvalsh_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6084944Z test_unsupported_linalg_householder_product_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6085091Z test_unsupported_linalg_inv_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6085243Z test_unsupported_linalg_inv_ex_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6085397Z test_unsupported_linalg_ldl_factor_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6085546Z test_unsupported_linalg_ldl_factor_ex_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6085701Z test_unsupported_linalg_ldl_solve_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6085849Z test_unsupported_linalg_lstsq_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6086015Z test_unsupported_linalg_lstsq_grad_oriented_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6086160Z test_unsupported_linalg_lu_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6086312Z test_unsupported_linalg_lu_factor_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6086469Z test_unsupported_linalg_lu_factor_ex_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6086624Z test_unsupported_linalg_lu_solve_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6086769Z test_unsupported_linalg_matrix_norm_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6086927Z test_unsupported_linalg_matrix_power_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6087082Z test_unsupported_linalg_matrix_rank_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6087253Z test_unsupported_linalg_matrix_rank_hermitian_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6087408Z test_unsupported_linalg_multi_dot_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6087560Z test_unsupported_linalg_norm_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6087734Z test_unsupported_linalg_norm_subgradients_at_zero_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6087887Z test_unsupported_linalg_pinv_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6088049Z test_unsupported_linalg_pinv_hermitian_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6088295Z test_unsupported_linalg_pinv_singular_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6088446Z test_unsupported_linalg_qr_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6088600Z test_unsupported_linalg_slogdet_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6088749Z test_unsupported_linalg_solve_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6088900Z test_unsupported_linalg_solve_ex_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6089067Z test_unsupported_linalg_solve_triangular_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6089257Z test_unsupported_linalg_svd_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6089409Z test_unsupported_linalg_svdvals_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6089564Z test_unsupported_linalg_tensorinv_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6089710Z test_unsupported_linalg_tensorsolve_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6089861Z test_unsupported_linalg_vander_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6090007Z test_unsupported_linalg_vecdot_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6090163Z test_unsupported_linalg_vector_norm_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6090347Z test_unsupported_linspace_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6090542Z test_unsupported_log_softmax_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6090712Z test_unsupported_log_softmax_with_dtype_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6090862Z test_unsupported_logaddexp2_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6091022Z test_unsupported_logaddexp_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6091237Z test_unsupported_logcumsumexp_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6091487Z test_unsupported_logdet_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6091660Z test_unsupported_logical_and_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6091828Z test_unsupported_logical_not_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6091997Z test_unsupported_logical_or_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6092167Z test_unsupported_logical_xor_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6092331Z test_unsupported_logit_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6092487Z test_unsupported_logspace_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6092749Z test_unsupported_logsumexp_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6092954Z test_unsupported_lu_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6093122Z test_unsupported_lu_solve_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6093289Z test_unsupported_lu_unpack_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6093448Z test_unsupported_mH_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6093607Z test_unsupported_mT_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6093779Z test_unsupported_masked_amax_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6093949Z test_unsupported_masked_amin_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6094114Z test_unsupported_masked_argmax_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6094333Z test_unsupported_masked_argmin_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6094511Z test_unsupported_masked_cumprod_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6094684Z test_unsupported_masked_cumsum_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6094865Z test_unsupported_masked_log_softmax_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6095044Z test_unsupported_masked_logaddexp_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6095222Z test_unsupported_masked_logsumexp_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6095426Z test_unsupported_masked_mean_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6095589Z test_unsupported_masked_median_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6095757Z test_unsupported_masked_norm_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6095933Z test_unsupported_masked_normalize_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6096105Z test_unsupported_masked_prod_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6096277Z test_unsupported_masked_scatter_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6096451Z test_unsupported_masked_select_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6096626Z test_unsupported_masked_softmax_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6096797Z test_unsupported_masked_softmin_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6096971Z test_unsupported_masked_std_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6097125Z test_unsupported_masked_sum_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6097291Z test_unsupported_masked_var_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6097457Z test_unsupported_matrix_exp_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6097659Z test_unsupported_max_pool2d_with_indices_backward_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6097841Z test_unsupported_max_reduction_no_dim_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6098131Z test_unsupported_max_reduction_with_dim_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6098296Z test_unsupported_maximum_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6098500Z test_unsupported_median_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6098652Z test_unsupported_meshgrid_list_of_tensors_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6098934Z test_unsupported_meshgrid_variadic_tensors_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6099095Z test_unsupported_min_reduction_no_dim_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6099256Z test_unsupported_min_reduction_with_dim_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6099403Z test_unsupported_minimum_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6099548Z test_unsupported_mode_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6099694Z test_unsupported_movedim_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6099838Z test_unsupported_msort_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6099979Z test_unsupported_multinomial_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6100118Z test_unsupported_mv_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6100328Z test_unsupported_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6100491Z test_unsupported_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6100648Z test_unsupported_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6100794Z test_unsupported_nan_to_num_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6100936Z test_unsupported_nanmean_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6101084Z test_unsupported_nanmedian_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6101270Z test_unsupported_nanquantile_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6101402Z test_unsupported_nansum_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6101548Z test_unsupported_narrow_copy_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6101690Z test_unsupported_narrow_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6101847Z test_unsupported_native_batch_norm_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6102014Z test_unsupported_native_dropout_backward_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6102169Z test_unsupported_native_layer_norm_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6102316Z test_unsupported_new_empty_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6102473Z test_unsupported_new_empty_strided_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6102608Z test_unsupported_new_full_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6102753Z test_unsupported_new_ones_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6102896Z test_unsupported_new_zeros_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6103043Z test_unsupported_nextafter_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6103231Z test_unsupported_nn_functional__scaled_dot_product_attention_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6103408Z test_unsupported_nn_functional_adaptive_avg_pool1d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6103586Z test_unsupported_nn_functional_adaptive_avg_pool2d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6103760Z test_unsupported_nn_functional_adaptive_avg_pool3d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6103934Z test_unsupported_nn_functional_adaptive_max_pool1d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6104093Z test_unsupported_nn_functional_adaptive_max_pool2d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6104263Z test_unsupported_nn_functional_adaptive_max_pool3d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6104437Z test_unsupported_nn_functional_alpha_dropout_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6104601Z test_unsupported_nn_functional_avg_pool1d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6104761Z test_unsupported_nn_functional_avg_pool2d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6104917Z test_unsupported_nn_functional_avg_pool3d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6105074Z test_unsupported_nn_functional_batch_norm_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6105238Z test_unsupported_nn_functional_bilinear_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6105412Z test_unsupported_nn_functional_binary_cross_entropy_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6105617Z test_unsupported_nn_functional_binary_cross_entropy_with_logits_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6105777Z test_unsupported_nn_functional_celu_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6105938Z test_unsupported_nn_functional_conv1d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6106095Z test_unsupported_nn_functional_conv2d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6106266Z test_unsupported_nn_functional_conv_transpose1d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6106436Z test_unsupported_nn_functional_conv_transpose2d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6106635Z test_unsupported_nn_functional_conv_transpose3d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6106814Z test_unsupported_nn_functional_cosine_embedding_loss_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6106989Z test_unsupported_nn_functional_cosine_similarity_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6107145Z test_unsupported_nn_functional_cross_entropy_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6107306Z test_unsupported_nn_functional_ctc_loss_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6107469Z test_unsupported_nn_functional_dropout2d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6107630Z test_unsupported_nn_functional_dropout3d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6107794Z test_unsupported_nn_functional_dropout_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6107950Z test_unsupported_nn_functional_elu_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6108118Z test_unsupported_nn_functional_embedding_bag_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6108360Z test_unsupported_nn_functional_embedding_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6108549Z test_unsupported_nn_functional_feature_alpha_dropout_with_train_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6108728Z test_unsupported_nn_functional_feature_alpha_dropout_without_train_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6108908Z test_unsupported_nn_functional_fractional_max_pool2d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6109087Z test_unsupported_nn_functional_fractional_max_pool3d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6109264Z test_unsupported_nn_functional_gaussian_nll_loss_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6109422Z test_unsupported_nn_functional_gelu_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6109583Z test_unsupported_nn_functional_glu_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6109750Z test_unsupported_nn_functional_grid_sample_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6109915Z test_unsupported_nn_functional_group_norm_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6110092Z test_unsupported_nn_functional_hinge_embedding_loss_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6110245Z test_unsupported_nn_functional_huber_loss_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6110414Z test_unsupported_nn_functional_instance_norm_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6110588Z test_unsupported_nn_functional_interpolate_area_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6110768Z test_unsupported_nn_functional_interpolate_bicubic_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6110980Z test_unsupported_nn_functional_interpolate_bilinear_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6111157Z test_unsupported_nn_functional_interpolate_linear_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6111333Z test_unsupported_nn_functional_interpolate_nearest_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6111513Z test_unsupported_nn_functional_interpolate_trilinear_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6111675Z test_unsupported_nn_functional_kl_div_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6111850Z test_unsupported_nn_functional_l1_loss_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6112016Z test_unsupported_nn_functional_layer_norm_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6112176Z test_unsupported_nn_functional_linear_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6112355Z test_unsupported_nn_functional_local_response_norm_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6112524Z test_unsupported_nn_functional_logsigmoid_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6112700Z test_unsupported_nn_functional_margin_ranking_loss_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6112866Z test_unsupported_nn_functional_max_pool1d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6113028Z test_unsupported_nn_functional_max_pool2d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6113188Z test_unsupported_nn_functional_max_pool3d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6113343Z test_unsupported_nn_functional_max_unpool1d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6113519Z test_unsupported_nn_functional_max_unpool1d_grad_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6113686Z test_unsupported_nn_functional_max_unpool2d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6113857Z test_unsupported_nn_functional_max_unpool2d_grad_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6114026Z test_unsupported_nn_functional_max_unpool3d_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6114199Z test_unsupported_nn_functional_max_unpool3d_grad_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6114360Z test_unsupported_nn_functional_mish_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6114525Z test_unsupported_nn_functional_mse_loss_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6114693Z test_unsupported_nn_functional_multi_margin_loss_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6114860Z test_unsupported_nn_functional_multilabel_margin_loss_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6115044Z test_unsupported_nn_functional_multilabel_soft_margin_loss_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6115205Z test_unsupported_nn_functional_nll_loss_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6115372Z test_unsupported_nn_functional_normalize_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6115540Z test_unsupported_nn_functional_pad_circular_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6115706Z test_unsupported_nn_functional_pad_constant_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6115877Z test_unsupported_nn_functional_pad_reflect_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6116049Z test_unsupported_nn_functional_pad_replicate_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6116256Z test_unsupported_nn_functional_pairwise_distance_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6116404Z test_unsupported_nn_functional_pdist_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6116571Z test_unsupported_nn_functional_pixel_shuffle_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6116744Z test_unsupported_nn_functional_pixel_unshuffle_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6116914Z test_unsupported_nn_functional_poisson_nll_loss_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6117103Z test_unsupported_nn_functional_prelu_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6117261Z test_unsupported_nn_functional_rrelu_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6117419Z test_unsupported_nn_functional_selu_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6117576Z test_unsupported_nn_functional_silu_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6117748Z test_unsupported_nn_functional_smooth_l1_loss_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6117907Z test_unsupported_nn_functional_soft_margin_loss_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6118067Z test_unsupported_nn_functional_softmin_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6118239Z test_unsupported_nn_functional_softmin_with_dtype_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6118405Z test_unsupported_nn_functional_softshrink_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6118579Z test_unsupported_nn_functional_triplet_margin_loss_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6118769Z test_unsupported_nn_functional_triplet_margin_with_distance_loss_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6118928Z test_unsupported_nn_functional_unfold_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6119104Z test_unsupported_nn_functional_upsample_bilinear_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6119274Z test_unsupported_nn_functional_upsample_nearest_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6119409Z test_unsupported_nonzero_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6119550Z test_unsupported_norm_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6119697Z test_unsupported_norm_fro_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6119842Z test_unsupported_norm_inf_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6119981Z test_unsupported_norm_nuc_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6120126Z test_unsupported_normal_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6120282Z test_unsupported_normal_number_mean_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6120427Z test_unsupported_ones_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6120561Z test_unsupported_ones_like_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6120702Z test_unsupported_ormqr_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6120843Z test_unsupported_outer_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6120998Z test_unsupported_pca_lowrank_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6121143Z test_unsupported_pinverse_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6121285Z test_unsupported_polar_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6121478Z test_unsupported_polygamma_polygamma_n_0_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6121638Z test_unsupported_polygamma_polygamma_n_1_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6121783Z test_unsupported_polygamma_polygamma_n_2_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6121945Z test_unsupported_polygamma_polygamma_n_3_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6122101Z test_unsupported_polygamma_polygamma_n_4_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6122249Z test_unsupported_positive_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6122416Z test_unsupported_prod_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6122557Z test_unsupported_put_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6122698Z test_unsupported_qr_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6122846Z test_unsupported_quantile_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6122991Z test_unsupported_rad2deg_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6123126Z test_unsupported_rand_like_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6123271Z test_unsupported_randint_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6123424Z test_unsupported_randint_like_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6123565Z test_unsupported_randn_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6123714Z test_unsupported_randn_like_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6123856Z test_unsupported_ravel_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6123996Z test_unsupported_real_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6124141Z test_unsupported_renorm_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6124274Z test_unsupported_repeat_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6124430Z test_unsupported_repeat_interleave_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6124572Z test_unsupported_resize__cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6124718Z test_unsupported_resize_as__cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6124868Z test_unsupported_resolve_conj_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6125016Z test_unsupported_resolve_neg_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6125155Z test_unsupported_roll_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6125294Z test_unsupported_rot90_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6125439Z test_unsupported_round_decimals_0_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6125592Z test_unsupported_round_decimals_3_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6125750Z test_unsupported_round_decimals_neg_3_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6125900Z test_unsupported_scalar_tensor_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6126050Z test_unsupported_scatter_add_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6126194Z test_unsupported_scatter_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6126352Z test_unsupported_scatter_reduce_amax_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6126509Z test_unsupported_scatter_reduce_amin_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6126691Z test_unsupported_scatter_reduce_mean_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6126834Z test_unsupported_scatter_reduce_prod_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6126990Z test_unsupported_scatter_reduce_sum_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6127143Z test_unsupported_searchsorted_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6127305Z test_unsupported_segment_reduce_lengths_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6127466Z test_unsupported_segment_reduce_offsets_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6127651Z test_unsupported_select_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6127804Z test_unsupported_select_scatter_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6127943Z test_unsupported_sgn_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6128095Z test_unsupported_signal_windows_cosine_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6128263Z test_unsupported_signal_windows_exponential_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6128424Z test_unsupported_signal_windows_gaussian_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6128587Z test_unsupported_signal_windows_kaiser_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6128733Z test_unsupported_signbit_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6128873Z test_unsupported_sinc_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6129018Z test_unsupported_slice_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6129169Z test_unsupported_slice_scatter_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6129315Z test_unsupported_softmax_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6129460Z test_unsupported_softmax_with_dtype_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6129599Z test_unsupported_sort_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6129759Z test_unsupported_sparse_sampled_addmm_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6129912Z test_unsupported_special_airy_ai_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6130067Z test_unsupported_special_bessel_j0_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6130222Z test_unsupported_special_bessel_j1_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6130375Z test_unsupported_special_bessel_y0_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6130525Z test_unsupported_special_bessel_y1_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6130706Z test_unsupported_special_chebyshev_polynomial_t_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.6130889Z test_unsupported_special_chebyshev_polynomial_u_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.6131070Z test_unsupported_special_chebyshev_polynomial_v_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.6131249Z test_unsupported_special_chebyshev_polynomial_w_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.6131400Z test_unsupported_special_entr_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6131554Z test_unsupported_special_erfcx_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6131738Z test_unsupported_special_hermite_polynomial_h_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.6131986Z test_unsupported_special_hermite_polynomial_he_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.6132136Z test_unsupported_special_i0e_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6132273Z test_unsupported_special_i1_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6132421Z test_unsupported_special_i1e_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6132609Z test_unsupported_special_laguerre_polynomial_l_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.6132793Z test_unsupported_special_legendre_polynomial_p_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.6132982Z test_unsupported_special_log_ndtr_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6133151Z test_unsupported_special_modified_bessel_i0_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6133317Z test_unsupported_special_modified_bessel_i1_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6133477Z test_unsupported_special_modified_bessel_k0_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6133635Z test_unsupported_special_modified_bessel_k1_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6133775Z test_unsupported_special_ndtr_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6133925Z test_unsupported_special_ndtri_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6134108Z test_unsupported_special_polygamma_special_polygamma_n_0_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6134285Z test_unsupported_special_scaled_modified_bessel_k0_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6134460Z test_unsupported_special_scaled_modified_bessel_k1_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6134663Z test_unsupported_special_shifted_chebyshev_polynomial_t_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.6134860Z test_unsupported_special_shifted_chebyshev_polynomial_u_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.6135055Z test_unsupported_special_shifted_chebyshev_polynomial_v_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.6135245Z test_unsupported_special_shifted_chebyshev_polynomial_w_cpu_float32 (__main__.TestNNCOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:39:02.6135403Z test_unsupported_special_spherical_bessel_j0_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6135558Z test_unsupported_special_xlog1py_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6135710Z test_unsupported_special_zeta_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6135856Z test_unsupported_split_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6136008Z test_unsupported_split_list_args_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6136161Z test_unsupported_split_with_sizes_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6136305Z test_unsupported_square_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6136449Z test_unsupported_squeeze_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6136592Z test_unsupported_stack_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6136719Z test_unsupported_std_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6136865Z test_unsupported_std_mean_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6137005Z test_unsupported_stft_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6137177Z test_unsupported_sum_to_size_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6137319Z test_unsupported_svd_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6137464Z test_unsupported_svd_lowrank_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6137607Z test_unsupported_symeig_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6137759Z test_unsupported_take_along_dim_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6137888Z test_unsupported_take_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6138036Z test_unsupported_tensor_split_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6138209Z test_unsupported_tensordot_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6138349Z test_unsupported_tile_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6138487Z test_unsupported_to_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6138636Z test_unsupported_to_sparse_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6138896Z test_unsupported_topk_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6139040Z test_unsupported_trace_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6139176Z test_unsupported_trapezoid_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6139318Z test_unsupported_trapz_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6139471Z test_unsupported_triangular_solve_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6139614Z test_unsupported_tril_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6139755Z test_unsupported_triu_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6139898Z test_unsupported_unbind_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6140049Z test_unsupported_unflatten_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6140198Z test_unsupported_unfold_copy_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6140328Z test_unsupported_unfold_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6140473Z test_unsupported_uniform_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6140630Z test_unsupported_unique_consecutive_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6140799Z test_unsupported_unique_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6141017Z test_unsupported_var_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6141182Z test_unsupported_var_mean_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6141321Z test_unsupported_vdot_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6141478Z test_unsupported_view_as_complex_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6141625Z test_unsupported_view_copy_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6141756Z test_unsupported_vsplit_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6141899Z test_unsupported_vstack_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6142042Z test_unsupported_xlogy_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6142183Z test_unsupported_zero__cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6142326Z test_unsupported_zeros_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6142474Z test_unsupported_zeros_like_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.001s) 2022-11-23T01:39:02.6142613Z test_working___radd___cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.406s) 2022-11-23T01:39:02.6142805Z test_working___rdiv___cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.402s) 2022-11-23T01:39:02.6142929Z test_working___rmod___cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.448s) 2022-11-23T01:39:02.6143065Z test_working___rmul___cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.408s) 2022-11-23T01:39:02.6143199Z test_working_abs_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.049s) 2022-11-23T01:39:02.6143333Z test_working_acos_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.068s) 2022-11-23T01:39:02.6143467Z test_working_add_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.460s) 2022-11-23T01:39:02.6143606Z test_working_addcmul_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.431s) 2022-11-23T01:39:02.6143796Z test_working_addmm_decomposed_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.089s) 2022-11-23T01:39:02.6143931Z test_working_asin_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.032s) 2022-11-23T01:39:02.6144057Z test_working_atan2_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.401s) 2022-11-23T01:39:02.6144188Z test_working_atan_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.032s) 2022-11-23T01:39:02.6144320Z test_working_bool_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.329s) 2022-11-23T01:39:02.6144452Z test_working_byte_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.325s) 2022-11-23T01:39:02.6144583Z test_working_ceil_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.044s) 2022-11-23T01:39:02.6144712Z test_working_char_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.324s) 2022-11-23T01:39:02.6144848Z test_working_clamp_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.424s) 2022-11-23T01:39:02.6144993Z test_working_contiguous_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.104s) 2022-11-23T01:39:02.6145113Z test_working_cos_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.069s) 2022-11-23T01:39:02.6145246Z test_working_cosh_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.069s) 2022-11-23T01:39:02.6145420Z test_working_div_floor_rounding_cpu_float32 (__main__.TestNNCOpInfoCPU) ... expected failure (0.004s) 2022-11-23T01:39:02.6145573Z test_working_div_no_rounding_mode_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.387s) 2022-11-23T01:39:02.6145743Z test_working_div_trunc_rounding_cpu_float32 (__main__.TestNNCOpInfoCPU) ... expected failure (0.004s) 2022-11-23T01:39:02.6145881Z test_working_double_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.333s) 2022-11-23T01:39:02.6146012Z test_working_eq_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.450s) 2022-11-23T01:39:02.6146144Z test_working_erf_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.033s) 2022-11-23T01:39:02.6146267Z test_working_erfc_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.068s) 2022-11-23T01:39:02.6146397Z test_working_exp_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.185s) 2022-11-23T01:39:02.6146538Z test_working_expand_as_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.082s) 2022-11-23T01:39:02.6146678Z test_working_expand_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.307s) 2022-11-23T01:39:02.6146814Z test_working_expm1_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.032s) 2022-11-23T01:39:02.6146950Z test_working_float_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.328s) 2022-11-23T01:39:02.6147082Z test_working_floor_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.044s) 2022-11-23T01:39:02.6147215Z test_working_fmod_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.400s) 2022-11-23T01:39:02.6147335Z test_working_ge_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.408s) 2022-11-23T01:39:02.6147464Z test_working_gt_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.407s) 2022-11-23T01:39:02.6147599Z test_working_half_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.331s) 2022-11-23T01:39:02.6147731Z test_working_int_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.325s) 2022-11-23T01:39:02.6147866Z test_working_isnan_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.036s) 2022-11-23T01:39:02.6148030Z test_working_le_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.408s) 2022-11-23T01:39:02.6148236Z test_working_lerp_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.492s) 2022-11-23T01:39:02.6148377Z test_working_lgamma_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.071s) 2022-11-23T01:39:02.6148500Z test_working_log10_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.071s) 2022-11-23T01:39:02.6148635Z test_working_log1p_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.032s) 2022-11-23T01:39:02.6148766Z test_working_log2_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.068s) 2022-11-23T01:39:02.6148900Z test_working_log_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.069s) 2022-11-23T01:39:02.6149063Z test_working_long_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.328s) 2022-11-23T01:39:02.6149192Z test_working_lt_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.409s) 2022-11-23T01:39:02.6149334Z test_working_masked_fill_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.366s) 2022-11-23T01:39:02.6149479Z test_working_max_binary_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.476s) 2022-11-23T01:39:02.6149598Z test_working_mean_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.517s) 2022-11-23T01:39:02.6149740Z test_working_min_binary_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.468s) 2022-11-23T01:39:02.6149870Z test_working_mm_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.111s) 2022-11-23T01:39:02.6150001Z test_working_mul_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.404s) 2022-11-23T01:39:02.6150132Z test_working_ne_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.408s) 2022-11-23T01:39:02.6150267Z test_working_neg_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.052s) 2022-11-23T01:39:02.6150428Z test_working_nn_functional_hardshrink_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.175s) 2022-11-23T01:39:02.6150592Z test_working_nn_functional_hardsigmoid_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.077s) 2022-11-23T01:39:02.6150752Z test_working_nn_functional_hardswish_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.158s) 2022-11-23T01:39:02.6150897Z test_working_nn_functional_hardtanh_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.177s) 2022-11-23T01:39:02.6151053Z test_working_nn_functional_leaky_relu_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.410s) 2022-11-23T01:39:02.6151203Z test_working_nn_functional_relu6_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.071s) 2022-11-23T01:39:02.6151353Z test_working_nn_functional_relu_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.138s) 2022-11-23T01:39:02.6151508Z test_working_nn_functional_softplus_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.076s) 2022-11-23T01:39:02.6151664Z test_working_nn_functional_softsign_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.073s) 2022-11-23T01:39:02.6151821Z test_working_nn_functional_tanhshrink_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.071s) 2022-11-23T01:39:02.6151979Z test_working_nn_functional_threshold_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.147s) 2022-11-23T01:39:02.6152108Z test_working_permute_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.117s) 2022-11-23T01:39:02.6152240Z test_working_pow_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.401s) 2022-11-23T01:39:02.6152382Z test_working_reciprocal_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.070s) 2022-11-23T01:39:02.6152523Z test_working_remainder_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.467s) 2022-11-23T01:39:02.6152666Z test_working_reshape_as_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.146s) 2022-11-23T01:39:02.6152804Z test_working_reshape_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.272s) 2022-11-23T01:39:02.6152942Z test_working_round_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.034s) 2022-11-23T01:39:02.6153078Z test_working_rsqrt_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.070s) 2022-11-23T01:39:02.6153200Z test_working_rsub_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.480s) 2022-11-23T01:39:02.6153361Z test_working_short_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.336s) 2022-11-23T01:39:02.6153501Z test_working_sigmoid_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.073s) 2022-11-23T01:39:02.6153638Z test_working_sign_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.036s) 2022-11-23T01:39:02.6153773Z test_working_sin_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.034s) 2022-11-23T01:39:02.6153910Z test_working_sinh_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.033s) 2022-11-23T01:39:02.6154041Z test_working_sqrt_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.045s) 2022-11-23T01:39:02.6154205Z test_working_sub_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.478s) 2022-11-23T01:39:02.6154327Z test_working_sum_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.533s) 2022-11-23T01:39:02.6154461Z test_working_t_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.073s) 2022-11-23T01:39:02.6154597Z test_working_tan_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.034s) 2022-11-23T01:39:02.6154733Z test_working_tanh_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.034s) 2022-11-23T01:39:02.6154880Z test_working_transpose_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.248s) 2022-11-23T01:39:02.6155024Z test_working_true_divide_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.399s) 2022-11-23T01:39:02.6155161Z test_working_trunc_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.045s) 2022-11-23T01:39:02.6155304Z test_working_unsqueeze_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.276s) 2022-11-23T01:39:02.6155427Z test_working_view_as_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.145s) 2022-11-23T01:39:02.6155564Z test_working_view_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.269s) 2022-11-23T01:39:02.6155701Z test_working_where_cpu_float32 (__main__.TestNNCOpInfoCPU) ... ok (0.426s) 2022-11-23T01:39:02.6155820Z test_abs (__main__.TestTEFuserDynamic) ... ok (0.291s) 2022-11-23T01:39:02.6155962Z test_adaptive_avg_pool2d (__main__.TestTEFuserDynamic) ... ok (0.065s) 2022-11-23T01:39:02.6156086Z test_add_bool (__main__.TestTEFuserDynamic) ... ok (0.293s) 2022-11-23T01:39:02.6156209Z test_addcmul (__main__.TestTEFuserDynamic) ... ok (0.089s) 2022-11-23T01:39:02.6156387Z test_arg_configurations_smoke (__main__.TestTEFuserDynamic) ... skip: TODO: chunk dynamic shapes (0.001s) 2022-11-23T01:39:02.6156754Z test_autocast_down (__main__.TestTEFuserDynamic) ... skip: half-precision NNC fusion requires CUDA (0.001s) 2022-11-23T01:39:02.6157018Z test_autocast_up (__main__.TestTEFuserDynamic) ... skip: half-precision NNC fusion requires CUDA (0.000s) 2022-11-23T01:39:02.6157145Z test_batch_norm (__main__.TestTEFuserDynamic) ... ok (0.674s) 2022-11-23T01:39:02.6157275Z test_binary_div_ops (__main__.TestTEFuserDynamic) ... ok (2.407s) 2022-11-23T01:39:02.6157399Z test_binary_ops (__main__.TestTEFuserDynamic) ... ok (8.723s) 2022-11-23T01:39:02.6157524Z test_binary_pow (__main__.TestTEFuserDynamic) ... ok (0.804s) 2022-11-23T01:39:02.6157660Z test_binary_scalar_ops (__main__.TestTEFuserDynamic) ... ok (1.028s) 2022-11-23T01:39:02.6157870Z test_binary_tensor_scalar_ops (__main__.TestTEFuserDynamic) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6157984Z test_bitwise_ops (__main__.TestTEFuserDynamic) ... ok (1.924s) 2022-11-23T01:39:02.6158112Z test_broadcast (__main__.TestTEFuserDynamic) ... ok (0.233s) 2022-11-23T01:39:02.6158239Z test_cat_2k_args (__main__.TestTEFuserDynamic) ... ok (0.685s) 2022-11-23T01:39:02.6158367Z test_cat_graph_opt (__main__.TestTEFuserDynamic) ... ok (0.767s) 2022-11-23T01:39:02.6158542Z test_channels_last_dims_dynamic (__main__.TestTEFuserDynamic) ... skip: fuser requires CUDA (0.002s) 2022-11-23T01:39:02.6158677Z test_checks_cat_inputs (__main__.TestTEFuserDynamic) ... ok (0.463s) 2022-11-23T01:39:02.6158833Z test_chunk (__main__.TestTEFuserDynamic) ... skip: TODO: chunk dynamic shapes (0.001s) 2022-11-23T01:39:02.6159036Z test_chunk_correctness (__main__.TestTEFuserDynamic) ... skip: TODO: chunk dynamic shapes (0.002s) 2022-11-23T01:39:02.6159204Z test_chunk_distributes (__main__.TestTEFuserDynamic) ... skip: TODO: chunk dynamic shapes (0.001s) 2022-11-23T01:39:02.6159378Z test_chunk_motion_deduplicates_inputs (__main__.TestTEFuserDynamic) ... skip: TODO: chunk dynamic shapes (0.001s) 2022-11-23T01:39:02.6159539Z test_chunk_mul_one (__main__.TestTEFuserDynamic) ... skip: TODO: chunk dynamic shapes (0.001s) 2022-11-23T01:39:02.6159702Z test_chunk_multiple (__main__.TestTEFuserDynamic) ... skip: TODO: chunk dynamic shapes (0.001s) 2022-11-23T01:39:02.6159851Z test_clamp (__main__.TestTEFuserDynamic) ... ok (3.698s) 2022-11-23T01:39:02.6159981Z test_clamp_double (__main__.TestTEFuserDynamic) ... ok (0.140s) 2022-11-23T01:39:02.6160105Z test_clamp_int (__main__.TestTEFuserDynamic) ... ok (0.133s) 2022-11-23T01:39:02.6160239Z test_comparison_eq_ne (__main__.TestTEFuserDynamic) ... ok (0.288s) 2022-11-23T01:39:02.6160374Z test_comparison_ge_le (__main__.TestTEFuserDynamic) ... ok (0.330s) 2022-11-23T01:39:02.6160491Z test_comparison_gt_lt (__main__.TestTEFuserDynamic) ... ok (0.287s) 2022-11-23T01:39:02.6160612Z test_concat (__main__.TestTEFuserDynamic) ... ok (0.578s) 2022-11-23T01:39:02.6160742Z test_concat_invariant (__main__.TestTEFuserDynamic) ... ok (0.761s) 2022-11-23T01:39:02.6160916Z test_constant_chunk_shapes (__main__.TestTEFuserDynamic) ... skip: TODO: chunk dynamic shapes (0.002s) 2022-11-23T01:39:02.6161153Z test_conv2d (__main__.TestTEFuserDynamic) ... skip: don't run conv with dynamic shapes (0.001s) 2022-11-23T01:39:02.6161412Z test_conv2d_depthwise (__main__.TestTEFuserDynamic) ... skip: don't run conv with dynamic shapes (0.001s) 2022-11-23T01:39:02.6161563Z test_cuda_half (__main__.TestTEFuserDynamic) ... skip: fuser requires CUDA (0.001s) 2022-11-23T01:39:02.6161683Z test_dims (__main__.TestTEFuserDynamic) ... ok (0.126s) 2022-11-23T01:39:02.6161797Z test_disabled (__main__.TestTEFuserDynamic) ... ok (0.007s) 2022-11-23T01:39:02.6161916Z test_div_bool (__main__.TestTEFuserDynamic) ... ok (0.133s) 2022-11-23T01:39:02.6162038Z test_dynamic_cat (__main__.TestTEFuserDynamic) ... ok (0.010s) 2022-11-23T01:39:02.6162170Z test_dynamic_shapes (__main__.TestTEFuserDynamic) ... ok (2.008s) 2022-11-23T01:39:02.6162309Z test_eq_unsqueeze_type_as (__main__.TestTEFuserDynamic) ... ok (0.305s) 2022-11-23T01:39:02.6162423Z test_erf (__main__.TestTEFuserDynamic) ... ok (0.001s) 2022-11-23T01:39:02.6162566Z test_exhaust_specializations (__main__.TestTEFuserDynamic) ... ok (0.029s) 2022-11-23T01:39:02.6162680Z test_exp (__main__.TestTEFuserDynamic) ... ok (0.093s) 2022-11-23T01:39:02.6162835Z test_fusion_reuse_multi_gpu (__main__.TestTEFuserDynamic) ... skip: fuser requires CUDA (0.001s) 2022-11-23T01:39:02.6162955Z test_gelu (__main__.TestTEFuserDynamic) ... ok (0.002s) 2022-11-23T01:39:02.6163090Z test_hardsigmoid_fwd_bwd (__main__.TestTEFuserDynamic) ... ok (0.266s) 2022-11-23T01:39:02.6163226Z test_hardswish_fwd_bwd (__main__.TestTEFuserDynamic) ... ok (0.294s) 2022-11-23T01:39:02.6163365Z test_inlined_optimized_graph (__main__.TestTEFuserDynamic) ... ok (0.411s) 2022-11-23T01:39:02.6163487Z test_isnan (__main__.TestTEFuserDynamic) ... ok (0.648s) 2022-11-23T01:39:02.6163654Z test_kernel_cache_multi_gpu (__main__.TestTEFuserDynamic) ... skip: fuser requires CUDA (0.001s) 2022-11-23T01:39:02.6163773Z test_lerp (__main__.TestTEFuserDynamic) ... ok (0.328s) 2022-11-23T01:39:02.6164078Z test_list_ops (__main__.TestTEFuserDynamic) ... skip: FIXME: fuser doesn't include ListConstruct nodes to the group causing a failure (0.001s) 2022-11-23T01:39:02.6164194Z test_lstm (__main__.TestTEFuserDynamic) ... ok (0.754s) 2022-11-23T01:39:02.6164318Z test_lstm_concat (__main__.TestTEFuserDynamic) ... ok (0.236s) 2022-11-23T01:39:02.6164461Z test_lstm_gates_permutations (__main__.TestTEFuserDynamic) ... ok (10.605s) 2022-11-23T01:39:02.6164616Z test_lstm_traced (__main__.TestTEFuserDynamic) ... ok (0.452s) 2022-11-23T01:39:02.6164771Z test_masked_fill (__main__.TestTEFuserDynamic) ... skip: Temporarily disabled (0.001s) 2022-11-23T01:39:02.6165008Z test_matmul (__main__.TestTEFuserDynamic) ... skip: don't run conv with dynamic shapes (0.002s) 2022-11-23T01:39:02.6165241Z test_milstm (__main__.TestTEFuserDynamic) ... skip: don't run conv with dynamic shapes (0.001s) 2022-11-23T01:39:02.6165349Z test_minmax (__main__.TestTEFuserDynamic) ... ok (1.177s) 2022-11-23T01:39:02.6165476Z test_minmax_int_ops (__main__.TestTEFuserDynamic) ... ok (0.826s) 2022-11-23T01:39:02.6165595Z test_mul_bool (__main__.TestTEFuserDynamic) ... ok (0.173s) 2022-11-23T01:39:02.6165760Z test_neg_pow (__main__.TestTEFuserDynamic) ... ok (0.146s) 2022-11-23T01:39:02.6166003Z test_nonzero_device_cuda (__main__.TestTEFuserDynamic) ... skip: needs non-zero device (0.001s) 2022-11-23T01:39:02.6166118Z test_nop (__main__.TestTEFuserDynamic) ... ok (0.001s) 2022-11-23T01:39:02.6166452Z test_profiler (__main__.TestTEFuserDynamic) ... STAGE:2022-11-23 01:38:19 3757:3757 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:39:02.6166704Z STAGE:2022-11-23 01:38:19 3757:3757 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:39:02.6166951Z STAGE:2022-11-23 01:38:19 3757:3757 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:39:02.6167016Z ok (0.079s) 2022-11-23T01:39:02.6167180Z test_rand_broadcast_cuda (__main__.TestTEFuserDynamic) ... skip: fuser requires CUDA (0.001s) 2022-11-23T01:39:02.6167331Z test_rand_cuda (__main__.TestTEFuserDynamic) ... skip: fuser requires CUDA (0.001s) 2022-11-23T01:39:02.6167484Z test_rand_diamond (__main__.TestTEFuserDynamic) ... skip: fuser requires CUDA (0.001s) 2022-11-23T01:39:02.6167600Z test_relu (__main__.TestTEFuserDynamic) ... ok (0.142s) 2022-11-23T01:39:02.6167724Z test_relu_fwd_bwd (__main__.TestTEFuserDynamic) ... ok (0.155s) 2022-11-23T01:39:02.6167869Z test_remove_output_used_only_in_size (__main__.TestTEFuserDynamic) ... ok (0.031s) 2022-11-23T01:39:02.6167977Z test_scalar (__main__.TestTEFuserDynamic) ... ok (0.049s) 2022-11-23T01:39:02.6168099Z test_scalar_arg (__main__.TestTEFuserDynamic) ... ok (0.520s) 2022-11-23T01:39:02.6168230Z test_scalar_only_inputs (__main__.TestTEFuserDynamic) ... ok (0.048s) 2022-11-23T01:39:02.6168361Z test_skip_grad_in_check (__main__.TestTEFuserDynamic) ... ok (0.173s) 2022-11-23T01:39:02.6168488Z test_small_constant (__main__.TestTEFuserDynamic) ... ok (0.321s) 2022-11-23T01:39:02.6168609Z test_sub_gt_and (__main__.TestTEFuserDynamic) ... ok (0.196s) 2022-11-23T01:39:02.6168729Z test_sum_dim (__main__.TestTEFuserDynamic) ... ok (0.343s) 2022-11-23T01:39:02.6168858Z test_sum_keepdim_cast (__main__.TestTEFuserDynamic) ... ok (0.203s) 2022-11-23T01:39:02.6168969Z test_sum_simple (__main__.TestTEFuserDynamic) ... ok (0.101s) 2022-11-23T01:39:02.6169091Z test_superslomo (__main__.TestTEFuserDynamic) ... ok (1.389s) 2022-11-23T01:39:02.6169226Z test_tensor_scalar_ops (__main__.TestTEFuserDynamic) ... ok (0.662s) 2022-11-23T01:39:02.6169354Z test_ternary_norm_ops (__main__.TestTEFuserDynamic) ... ok (0.465s) 2022-11-23T01:39:02.6169479Z test_ternary_ops (__main__.TestTEFuserDynamic) ... ok (0.663s) 2022-11-23T01:39:02.6169601Z test_threshold (__main__.TestTEFuserDynamic) ... ok (0.214s) 2022-11-23T01:39:02.6169721Z test_to_device (__main__.TestTEFuserDynamic) ... ok (0.151s) 2022-11-23T01:39:02.6169832Z test_to_dtype (__main__.TestTEFuserDynamic) ... ok (0.384s) 2022-11-23T01:39:02.6169951Z test_torch_to (__main__.TestTEFuserDynamic) ... ok (3.936s) 2022-11-23T01:39:02.6170074Z test_type_as_cat (__main__.TestTEFuserDynamic) ... ok (2.227s) 2022-11-23T01:39:02.6170196Z test_typecheck (__main__.TestTEFuserDynamic) ... ok (0.050s) 2022-11-23T01:39:02.6170387Z test_unary_ops (__main__.TestTEFuserDynamic) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s) 2022-11-23T01:39:02.6170542Z test_unrolled_cat (__main__.TestTEFuserDynamic) ... ok (0.012s) 2022-11-23T01:39:02.6170686Z test_unsqueeze_size_calculation (__main__.TestTEFuserDynamic) ... ok (0.357s) 2022-11-23T01:39:02.6170815Z test_unsqueeze_var_dim (__main__.TestTEFuserDynamic) ... ok (0.358s) 2022-11-23T01:39:02.6171327Z test_unsupported_dtypes (__main__.TestTEFuserDynamic) ... test_jit_fuser_te.py:1187: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/EmptyTensor.cpp:32.) 2022-11-23T01:39:02.6171392Z return v.to(dtype) 2022-11-23T01:39:02.6171457Z ok (0.036s) 2022-11-23T01:39:02.6171616Z test_where_and_typing (__main__.TestTEFuserDynamic) ... ok (0.318s) 2022-11-23T01:39:02.6171736Z test_where_ops (__main__.TestTEFuserDynamic) ... ok (2.714s) 2022-11-23T01:39:02.6172083Z test_with_strict_fusion (__main__.TestTEFuserDynamic) ... /opt/conda/lib/python3.7/site-packages/torch/jit/__init__.py:216: UserWarning: Only works in script mode 2022-11-23T01:39:02.6172188Z warnings.warn("Only works in script mode") 2022-11-23T01:39:02.6172254Z ok (0.176s) 2022-11-23T01:39:02.6172375Z test_zero_element_tensors (__main__.TestTEFuserDynamic) ... ok (0.093s) 2022-11-23T01:39:02.6172487Z test_abs (__main__.TestTEFuserStatic) ... ok (0.050s) 2022-11-23T01:39:02.6172621Z test_adaptive_avg_pool2d (__main__.TestTEFuserStatic) ... ok (0.061s) 2022-11-23T01:39:02.6172738Z test_add_bool (__main__.TestTEFuserStatic) ... ok (0.094s) 2022-11-23T01:39:02.6172855Z test_addcmul (__main__.TestTEFuserStatic) ... ok (0.040s) 2022-11-23T01:39:02.6172996Z test_arg_configurations_smoke (__main__.TestTEFuserStatic) ... ok (0.041s) 2022-11-23T01:39:02.6173261Z test_autocast_down (__main__.TestTEFuserStatic) ... skip: half-precision NNC fusion requires CUDA (0.001s) 2022-11-23T01:39:02.6173519Z test_autocast_up (__main__.TestTEFuserStatic) ... skip: half-precision NNC fusion requires CUDA (0.000s) 2022-11-23T01:39:02.6173631Z test_batch_norm (__main__.TestTEFuserStatic) ... ok (0.302s) 2022-11-23T01:39:02.6173757Z test_binary_div_ops (__main__.TestTEFuserStatic) ... ok (1.107s) 2022-11-23T01:39:02.6173877Z test_binary_ops (__main__.TestTEFuserStatic) ... ok (3.331s) 2022-11-23T01:39:02.6173996Z test_binary_pow (__main__.TestTEFuserStatic) ... ok (0.269s) 2022-11-23T01:39:02.6174126Z test_binary_scalar_ops (__main__.TestTEFuserStatic) ... ok (1.040s) 2022-11-23T01:39:02.6174334Z test_binary_tensor_scalar_ops (__main__.TestTEFuserStatic) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:02.6174458Z test_bitwise_ops (__main__.TestTEFuserStatic) ... ok (0.710s) 2022-11-23T01:39:02.6174582Z test_broadcast (__main__.TestTEFuserStatic) ... ok (0.054s) 2022-11-23T01:39:02.6174691Z test_cat_2k_args (__main__.TestTEFuserStatic) ... ok (0.693s) 2022-11-23T01:39:02.6174814Z test_cat_graph_opt (__main__.TestTEFuserStatic) ... ok (0.076s) 2022-11-23T01:39:02.6174983Z test_channels_last_dims_dynamic (__main__.TestTEFuserStatic) ... skip: fuser requires CUDA (0.001s) 2022-11-23T01:39:02.6175113Z test_checks_cat_inputs (__main__.TestTEFuserStatic) ... ok (0.067s) 2022-11-23T01:39:02.6175225Z test_chunk (__main__.TestTEFuserStatic) ... ok (0.097s) 2022-11-23T01:39:02.6175355Z test_chunk_correctness (__main__.TestTEFuserStatic) ... ok (1.090s) 2022-11-23T01:39:02.6175481Z test_chunk_distributes (__main__.TestTEFuserStatic) ... ok (0.053s) 2022-11-23T01:39:02.6175634Z test_chunk_motion_deduplicates_inputs (__main__.TestTEFuserStatic) ... ok (0.094s) 2022-11-23T01:39:02.6175745Z test_chunk_mul_one (__main__.TestTEFuserStatic) ... ok (0.113s) 2022-11-23T01:39:02.6175872Z test_chunk_multiple (__main__.TestTEFuserStatic) ... ok (0.178s) 2022-11-23T01:39:02.6175986Z test_clamp (__main__.TestTEFuserStatic) ... ok (0.896s) 2022-11-23T01:39:02.6176109Z test_clamp_double (__main__.TestTEFuserStatic) ... ok (0.055s) 2022-11-23T01:39:02.6176229Z test_clamp_int (__main__.TestTEFuserStatic) ... ok (0.053s) 2022-11-23T01:39:02.6176391Z test_comparison_eq_ne (__main__.TestTEFuserStatic) ... ok (0.083s) 2022-11-23T01:39:02.6176517Z test_comparison_ge_le (__main__.TestTEFuserStatic) ... ok (0.082s) 2022-11-23T01:39:02.6176640Z test_comparison_gt_lt (__main__.TestTEFuserStatic) ... ok (0.082s) 2022-11-23T01:39:02.6176745Z test_concat (__main__.TestTEFuserStatic) ... ok (0.049s) 2022-11-23T01:39:02.6176873Z test_concat_invariant (__main__.TestTEFuserStatic) ... ok (0.076s) 2022-11-23T01:39:02.6177318Z test_constant_chunk_shapes (__main__.TestTEFuserStatic) ... test_jit_fuser_te.py:2444: TracerWarning: torch.tensor results are registered as constants in the trace. You can safely ignore this warning if you use this function to create tensors out of constant variables that would be the same every time you call this function. In any other case, this might cause the trace to be incorrect. 2022-11-23T01:39:02.6177423Z r = torch.tensor(4) 2022-11-23T01:39:02.6177488Z ok (0.106s) 2022-11-23T01:39:02.6177609Z test_conv2d (__main__.TestTEFuserStatic) ... ok (0.034s) 2022-11-23T01:39:02.6177737Z test_conv2d_depthwise (__main__.TestTEFuserStatic) ... ok (0.880s) 2022-11-23T01:39:02.6177883Z test_cuda_half (__main__.TestTEFuserStatic) ... skip: fuser requires CUDA (0.001s) 2022-11-23T01:39:02.6177998Z test_dims (__main__.TestTEFuserStatic) ... ok (0.066s) 2022-11-23T01:39:02.6178107Z test_disabled (__main__.TestTEFuserStatic) ... ok (0.006s) 2022-11-23T01:39:02.6178223Z test_div_bool (__main__.TestTEFuserStatic) ... ok (0.035s) 2022-11-23T01:39:02.6178345Z test_dynamic_cat (__main__.TestTEFuserStatic) ... ok (0.009s) 2022-11-23T01:39:02.6178474Z test_dynamic_shapes (__main__.TestTEFuserStatic) ... ok (2.027s) 2022-11-23T01:39:02.6178605Z test_eq_unsqueeze_type_as (__main__.TestTEFuserStatic) ... ok (0.105s) 2022-11-23T01:39:02.6178718Z test_erf (__main__.TestTEFuserStatic) ... ok (0.001s) 2022-11-23T01:39:02.6178992Z test_exhaust_specializations (__main__.TestTEFuserStatic) ... ok (0.028s) 2022-11-23T01:39:02.6179095Z test_exp (__main__.TestTEFuserStatic) ... ok (0.043s) 2022-11-23T01:39:02.6179257Z test_fusion_reuse_multi_gpu (__main__.TestTEFuserStatic) ... skip: fuser requires CUDA (0.001s) 2022-11-23T01:39:02.6179371Z test_gelu (__main__.TestTEFuserStatic) ... ok (0.002s) 2022-11-23T01:39:02.6179505Z test_hardsigmoid_fwd_bwd (__main__.TestTEFuserStatic) ... ok (0.101s) 2022-11-23T01:39:02.6179635Z test_hardswish_fwd_bwd (__main__.TestTEFuserStatic) ... ok (0.119s) 2022-11-23T01:39:02.6179773Z test_inlined_optimized_graph (__main__.TestTEFuserStatic) ... ok (0.088s) 2022-11-23T01:39:02.6179887Z test_isnan (__main__.TestTEFuserStatic) ... ok (0.355s) 2022-11-23T01:39:02.6180052Z test_kernel_cache_multi_gpu (__main__.TestTEFuserStatic) ... skip: fuser requires CUDA (0.001s) 2022-11-23T01:39:02.6180154Z test_lerp (__main__.TestTEFuserStatic) ... ok (0.067s) 2022-11-23T01:39:02.6180478Z test_list_ops (__main__.TestTEFuserStatic) ... skip: FIXME: fuser doesn't include ListConstruct nodes to the group causing a failure (0.001s) 2022-11-23T01:39:02.6180593Z test_lstm (__main__.TestTEFuserStatic) ... ok (0.161s) 2022-11-23T01:39:02.6180714Z test_lstm_concat (__main__.TestTEFuserStatic) ... ok (0.163s) 2022-11-23T01:39:02.6180857Z test_lstm_gates_permutations (__main__.TestTEFuserStatic) ... ok (1.726s) 2022-11-23T01:39:02.6180980Z test_lstm_traced (__main__.TestTEFuserStatic) ... ok (0.138s) 2022-11-23T01:39:02.6181132Z test_masked_fill (__main__.TestTEFuserStatic) ... skip: Temporarily disabled (0.001s) 2022-11-23T01:39:02.6181247Z test_matmul (__main__.TestTEFuserStatic) ... ok (0.832s) 2022-11-23T01:39:02.6181352Z test_milstm (__main__.TestTEFuserStatic) ... ok (0.933s) 2022-11-23T01:39:02.6181464Z test_minmax (__main__.TestTEFuserStatic) ... ok (0.281s) 2022-11-23T01:39:02.6181589Z test_minmax_int_ops (__main__.TestTEFuserStatic) ... ok (0.305s) 2022-11-23T01:39:02.6181706Z test_mul_bool (__main__.TestTEFuserStatic) ... ok (0.036s) 2022-11-23T01:39:02.6181872Z test_neg_pow (__main__.TestTEFuserStatic) ... ok (0.139s) 2022-11-23T01:39:02.6182114Z test_nonzero_device_cuda (__main__.TestTEFuserStatic) ... skip: needs non-zero device (0.001s) 2022-11-23T01:39:02.6182227Z test_nop (__main__.TestTEFuserStatic) ... ok (0.001s) 2022-11-23T01:39:02.6182550Z test_profiler (__main__.TestTEFuserStatic) ... STAGE:2022-11-23 01:38:55 3757:3757 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:39:02.6182788Z STAGE:2022-11-23 01:38:55 3757:3757 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:39:02.6183041Z STAGE:2022-11-23 01:38:55 3757:3757 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:39:02.6183150Z ok (0.027s) 2022-11-23T01:39:02.6183311Z test_rand_broadcast_cuda (__main__.TestTEFuserStatic) ... skip: fuser requires CUDA (0.001s) 2022-11-23T01:39:02.6183459Z test_rand_cuda (__main__.TestTEFuserStatic) ... skip: fuser requires CUDA (0.001s) 2022-11-23T01:39:02.6183611Z test_rand_diamond (__main__.TestTEFuserStatic) ... skip: fuser requires CUDA (0.001s) 2022-11-23T01:39:02.6183725Z test_relu (__main__.TestTEFuserStatic) ... ok (0.046s) 2022-11-23T01:39:02.6183848Z test_relu_fwd_bwd (__main__.TestTEFuserStatic) ... ok (0.059s) 2022-11-23T01:39:02.6183981Z test_remove_output_used_only_in_size (__main__.TestTEFuserStatic) ... ok (0.028s) 2022-11-23T01:39:02.6184098Z test_scalar (__main__.TestTEFuserStatic) ... ok (0.048s) 2022-11-23T01:39:02.6184218Z test_scalar_arg (__main__.TestTEFuserStatic) ... ok (0.087s) 2022-11-23T01:39:02.6184348Z test_scalar_only_inputs (__main__.TestTEFuserStatic) ... ok (0.045s) 2022-11-23T01:39:02.6184481Z test_skip_grad_in_check (__main__.TestTEFuserStatic) ... ok (0.028s) 2022-11-23T01:39:02.6184607Z test_small_constant (__main__.TestTEFuserStatic) ... ok (0.082s) 2022-11-23T01:39:02.6184729Z test_sub_gt_and (__main__.TestTEFuserStatic) ... ok (0.059s) 2022-11-23T01:39:02.6184846Z test_sum_dim (__main__.TestTEFuserStatic) ... ok (0.118s) 2022-11-23T01:39:02.6184966Z test_sum_keepdim_cast (__main__.TestTEFuserStatic) ... ok (0.063s) 2022-11-23T01:39:02.6185084Z test_sum_simple (__main__.TestTEFuserStatic) ... ok (0.056s) 2022-11-23T01:39:02.6185205Z test_superslomo (__main__.TestTEFuserStatic) ... ok (0.617s) 2022-11-23T01:39:02.6185334Z test_tensor_scalar_ops (__main__.TestTEFuserStatic) ... ok (0.117s) 2022-11-23T01:39:02.6185462Z test_ternary_norm_ops (__main__.TestTEFuserStatic) ... ok (0.222s) 2022-11-23T01:39:02.6185584Z test_ternary_ops (__main__.TestTEFuserStatic) ... ok (0.250s) 2022-11-23T01:39:02.6185705Z test_threshold (__main__.TestTEFuserStatic) ... ok (0.060s) 2022-11-23T01:39:02.6185812Z test_to_device (__main__.TestTEFuserStatic) ... ok (0.046s) 2022-11-23T01:39:02.6185929Z test_to_dtype (__main__.TestTEFuserStatic) ... ok (0.099s) 2022-11-23T01:39:02.6186046Z test_torch_to (__main__.TestTEFuserStatic) ... ok (0.835s) 2022-11-23T01:39:02.6186167Z test_type_as_cat (__main__.TestTEFuserStatic) ... ok (1.392s) 2022-11-23T01:39:02.6186288Z test_typecheck (__main__.TestTEFuserStatic) ... ok (0.047s) 2022-11-23T01:39:02.6186475Z test_unary_ops (__main__.TestTEFuserStatic) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s) 2022-11-23T01:39:02.6186598Z test_unrolled_cat (__main__.TestTEFuserStatic) ... ok (0.028s) 2022-11-23T01:39:02.6186739Z test_unsqueeze_size_calculation (__main__.TestTEFuserStatic) ... ok (0.088s) 2022-11-23T01:39:02.6186857Z test_unsqueeze_var_dim (__main__.TestTEFuserStatic) ... ok (0.229s) 2022-11-23T01:39:02.6186989Z test_unsupported_dtypes (__main__.TestTEFuserStatic) ... ok (0.036s) 2022-11-23T01:39:02.6187119Z test_where_and_typing (__main__.TestTEFuserStatic) ... ok (0.081s) 2022-11-23T01:39:02.6187237Z test_where_ops (__main__.TestTEFuserStatic) ... ok (0.601s) 2022-11-23T01:39:02.6187617Z test_with_strict_fusion (__main__.TestTEFuserStatic) ... /opt/conda/lib/python3.7/site-packages/torch/jit/__init__.py:216: UserWarning: Only works in script mode 2022-11-23T01:39:02.6187724Z warnings.warn("Only works in script mode") 2022-11-23T01:39:02.6187788Z ok (0.069s) 2022-11-23T01:39:02.6187919Z test_zero_element_tensors (__main__.TestTEFuserStatic) ... ok (0.045s) 2022-11-23T01:39:02.6187931Z 2022-11-23T01:39:02.6188118Z ---------------------------------------------------------------------- 2022-11-23T01:39:02.6188261Z Ran 6067 tests in 114.585s 2022-11-23T01:39:02.6188268Z 2022-11-23T01:39:02.6188364Z OK (skipped=5300, expected failures=2) 2022-11-23T01:39:02.6188370Z 2022-11-23T01:39:02.6188452Z Generating XML reports... 2022-11-23T01:39:02.6188783Z Generated XML report: test-reports/python-unittest/test_jit_fuser_te/TEST-jit.test_fuser_common.TestFuserCommon-20221123013706.xml 2022-11-23T01:39:02.6189162Z Generated XML report: test-reports/python-unittest/test_jit_fuser_te/TEST-TestLoopnestRandomizationCPU-20221123013706.xml 2022-11-23T01:39:02.6189451Z Generated XML report: test-reports/python-unittest/test_jit_fuser_te/TEST-TestNNCOpInfoCPU-20221123013706.xml 2022-11-23T01:39:02.6189743Z Generated XML report: test-reports/python-unittest/test_jit_fuser_te/TEST-TestTEFuserDynamic-20221123013706.xml 2022-11-23T01:39:02.6190036Z Generated XML report: test-reports/python-unittest/test_jit_fuser_te/TEST-TestTEFuserStatic-20221123013706.xml 2022-11-23T01:39:02.6190041Z 2022-11-23T01:39:02.6190391Z ##[endgroup] 2022-11-23T01:39:02.6190675Z FINISHED PRINTING LOG FILE of test_jit_fuser_te (/var/lib/jenkins/workspace/test/test-reports/test_jit_fuser_te_4tr6wpp9) 2022-11-23T01:39:02.6190681Z 2022-11-23T01:39:04.3700184Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:39:04.5080139Z Ignoring disabled issues: [] 2022-11-23T01:39:04.5238979Z Running test_dataloader ... [2022-11-23 01:39:04.523508] 2022-11-23T01:39:04.5240274Z Executing ['/opt/conda/bin/python', '-bb', 'test_dataloader.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:39:04.523738] 2022-11-23T01:39:44.4467464Z 2022-11-23T01:39:44.4468093Z Expand the folded group to see the log file of test_dataloader 2022-11-23T01:39:44.4469315Z ##[group]PRINTING LOG FILE of test_dataloader (/var/lib/jenkins/workspace/test/test-reports/test_dataloader_drwuf48s) 2022-11-23T01:39:44.4537442Z Test results will be stored in test-reports/python-unittest/test_dataloader 2022-11-23T01:39:44.4537787Z 2022-11-23T01:39:44.4538005Z Running tests... 2022-11-23T01:39:44.4538476Z ---------------------------------------------------------------------- 2022-11-23T01:39:44.4539173Z test_shuffler_iterdatapipe (__main__.IntegrationTestDataLoaderDataPipe) 2022-11-23T01:39:44.4539714Z Verify ``IterDataPipe.shuffle`` is controlled by ``DataLoader`` ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s) 2022-11-23T01:39:44.4540089Z test_add_dataset (__main__.TestConcatDataset) ... ok (0.260s) 2022-11-23T01:39:44.4540376Z test_concat_raises_index_error (__main__.TestConcatDataset) ... ok (0.001s) 2022-11-23T01:39:44.4540687Z test_concat_two_non_singletons (__main__.TestConcatDataset) ... ok (0.001s) 2022-11-23T01:39:44.4541001Z test_concat_two_non_singletons_with_empty (__main__.TestConcatDataset) ... ok (0.001s) 2022-11-23T01:39:44.4541301Z test_concat_two_singletons (__main__.TestConcatDataset) ... ok (0.001s) 2022-11-23T01:39:44.4541594Z test_iterable_dataset_err (__main__.TestConcatDataset) ... ok (0.001s) 2022-11-23T01:39:44.4542456Z test_conv_after_fork (__main__.TestConvAfterFork) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/75492 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s) 2022-11-23T01:39:44.4543110Z test_custom_batch_pin (__main__.TestCustomPinFn) ... skip: CUDA unavailable (0.001s) 2022-11-23T01:39:44.4543446Z test_custom_batch_pin_worker (__main__.TestCustomPinFn) ... skip: CUDA unavailable (0.001s) 2022-11-23T01:39:44.4544145Z test_batch_sampler (__main__.TestDataLoader) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:39:44.4544527Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:39:44.4544967Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:39:44.4545306Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:39:44.4545743Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:39:44.4546128Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:39:44.4546561Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:39:44.4546896Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:39:44.4547332Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:39:44.4547658Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:39:44.4548091Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:39:44.4548547Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:39:44.4548986Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:39:44.4549321Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:39:44.4549737Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:39:44.4550084Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:39:44.4550312Z ok (2.226s) 2022-11-23T01:39:44.4551095Z test_builtin_collection_conversion (__main__.TestDataLoader) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/71037 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.002s) 2022-11-23T01:39:44.4551659Z test_bulk_loading_nobatch (__main__.TestDataLoader) ... ok (0.032s) 2022-11-23T01:39:44.4551958Z test_chain_iterable_style_dataset (__main__.TestDataLoader) ... ok (0.106s) 2022-11-23T01:39:44.4552269Z test_default_collate_bad_numpy_types (__main__.TestDataLoader) ... ok (0.002s) 2022-11-23T01:39:44.4552589Z test_default_collate_bad_sequence_type (__main__.TestDataLoader) ... ok (0.001s) 2022-11-23T01:39:44.4552880Z test_default_collate_dtype (__main__.TestDataLoader) ... ok (0.002s) 2022-11-23T01:39:44.4553183Z test_default_collate_mapping_keep_type (__main__.TestDataLoader) ... ok (0.001s) 2022-11-23T01:39:44.4554354Z test_default_collate_numpy_memmap (__main__.TestDataLoader) ... /opt/conda/lib/python3.7/site-packages/torch/utils/data/_utils/collate.py:172: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:205.) 2022-11-23T01:39:44.4555133Z return collate([torch.as_tensor(b) for b in batch], collate_fn_map=collate_fn_map) 2022-11-23T01:39:44.4555374Z ok (0.003s) 2022-11-23T01:39:44.4555612Z test_default_collate_sequence_dont_keep_type (__main__.TestDataLoader) ... ok (0.001s) 2022-11-23T01:39:44.4555934Z test_default_collate_sequence_keep_type (__main__.TestDataLoader) ... ok (0.001s) 2022-11-23T01:39:44.4556292Z test_default_collate_shared_tensor (__main__.TestDataLoader) ... ok (0.002s) 2022-11-23T01:39:44.4556605Z test_default_convert_mapping_keep_type (__main__.TestDataLoader) ... ok (0.001s) 2022-11-23T01:39:44.4556911Z test_default_convert_sequence_dont_keep_type (__main__.TestDataLoader) ... ok (0.001s) 2022-11-23T01:39:44.4557233Z test_default_convert_sequence_keep_type (__main__.TestDataLoader) ... ok (0.001s) 2022-11-23T01:39:44.4557551Z test_distributed_sampler_invalid_rank (__main__.TestDataLoader) ... ok (0.001s) 2022-11-23T01:39:44.4557853Z test_duplicating_data_with_drop_last (__main__.TestDataLoader) ... ok (0.002s) 2022-11-23T01:39:44.4558168Z test_error (__main__.TestDataLoader) ... ok (0.002s) 2022-11-23T01:39:44.4558429Z test_error_in_init (__main__.TestDataLoader) ... ok (0.025s) 2022-11-23T01:39:44.4558697Z test_error_workers (__main__.TestDataLoader) ... ok (0.024s) 2022-11-23T01:39:44.4558970Z test_excessive_thread_creation_warning (__main__.TestDataLoader) ... ok (0.006s) 2022-11-23T01:39:44.4559267Z test_fd_limit_exceeded (__main__.TestDataLoader) ... ok (1.411s) 2022-11-23T01:39:44.4559779Z test_get_worker_info (__main__.TestDataLoader) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:39:44.4560150Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:39:44.4560579Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:39:44.4560926Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:39:44.4561155Z ok (3.008s) 2022-11-23T01:39:44.4561364Z test_growing_dataset (__main__.TestDataLoader) ... ok (0.004s) 2022-11-23T01:39:44.4561645Z test_invalid_assign_after_init (__main__.TestDataLoader) ... ok (0.001s) 2022-11-23T01:39:44.4561945Z test_invalid_ctor_args_combinations (__main__.TestDataLoader) ... ok (0.005s) 2022-11-23T01:39:44.4562769Z test_iterable_style_dataset (__main__.TestDataLoader) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/73055 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.005s) 2022-11-23T01:39:44.4563337Z test_iterabledataset_len (__main__.TestDataLoader) ... ok (0.002s) 2022-11-23T01:39:44.4563862Z test_large_sampler_indices (__main__.TestDataLoader) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:39:44.4564241Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:39:44.4564658Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:39:44.4565004Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:39:44.4565231Z ok (2.977s) 2022-11-23T01:39:44.4565435Z test_len (__main__.TestDataLoader) ... ok (0.008s) 2022-11-23T01:39:44.4565698Z test_multi_epochs_reproducibility (__main__.TestDataLoader) ... ok (0.047s) 2022-11-23T01:39:44.4566232Z test_multiple_dataloaders (__main__.TestDataLoader) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:39:44.4566611Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:39:44.4567028Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:39:44.4567376Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:39:44.4567806Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:39:44.4568133Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:39:44.4568612Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:39:44.4568958Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:39:44.4569392Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:39:44.4569716Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:39:44.4570134Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:39:44.4570482Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:39:44.4570947Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:39:44.4571263Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:39:44.4571691Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:39:44.4572037Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:39:44.4572264Z ok (3.030s) 2022-11-23T01:39:44.4573019Z test_multiprocessing_contexts (__main__.TestDataLoader) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/71229 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.002s) 2022-11-23T01:39:44.4574120Z test_multiprocessing_iterdatapipe (__main__.TestDataLoader) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/74498 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.002s) 2022-11-23T01:39:44.4574916Z test_no_segfault (__main__.TestDataLoader) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:39:44.4575284Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:39:44.4575714Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:39:44.4576046Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:39:44.4576270Z ok (1.574s) 2022-11-23T01:39:44.4576478Z test_numpy (__main__.TestDataLoader) ... ok (0.004s) 2022-11-23T01:39:44.4576732Z test_numpy_gen_state (__main__.TestDataLoader) ... ok (0.007s) 2022-11-23T01:39:44.4577004Z test_numpy_scalars (__main__.TestDataLoader) ... ok (0.003s) 2022-11-23T01:39:44.4577258Z test_partial_workers (__main__.TestDataLoader) 2022-11-23T01:39:44.4578070Z Check that workers exit even if the iterator is not exhausted. ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/81034 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.002s) 2022-11-23T01:39:44.4578602Z test_proper_exit (__main__.TestDataLoader) 2022-11-23T01:39:44.4579729Z There might be ConnectionResetError or leaked semaphore warning (due to dirty process exit), but they are all safe to ignore ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/70517 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.007s) 2022-11-23T01:39:44.4580650Z test_random_sampler (__main__.TestDataLoader) ... ok (0.005s) 2022-11-23T01:39:44.4581318Z test_random_sampler_len_with_replacement (__main__.TestDataLoader) ... ok (0.002s) 2022-11-23T01:39:44.4581761Z test_random_sampler_len_without_replacement (__main__.TestDataLoader) ... ok (0.002s) 2022-11-23T01:39:44.4582531Z test_sampler (__main__.TestDataLoader) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:39:44.4583138Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:39:44.4583700Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:39:44.4584238Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:39:44.4585140Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:39:44.4585723Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:39:44.4586306Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:39:44.4586926Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:39:44.4587547Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:39:44.4587875Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:39:44.4588383Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:39:44.4588716Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:39:44.4589152Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:39:44.4589486Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:39:44.4589897Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:39:44.4590240Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:39:44.4590468Z ok (2.055s) 2022-11-23T01:39:44.4590704Z test_sampler_reproducibility (__main__.TestDataLoader) ... ok (0.017s) 2022-11-23T01:39:44.4591202Z test_segfault (__main__.TestDataLoader) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:39:44.4591670Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:39:44.4592087Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:39:44.4592435Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:39:44.4592662Z ok (2.955s) 2022-11-23T01:39:44.4593422Z test_seqential_batch_workers (__main__.TestDataLoader) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/81891 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:39:44.4594085Z test_seqential_batch_workers_prefetch (__main__.TestDataLoader) ... ok (0.084s) 2022-11-23T01:39:44.4594379Z test_sequential_batch (__main__.TestDataLoader) ... ok (0.051s) 2022-11-23T01:39:44.4594658Z test_sequential_nonbatch (__main__.TestDataLoader) ... ok (0.027s) 2022-11-23T01:39:44.4594954Z test_sequential_pin_memory (__main__.TestDataLoader) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:39:44.4595259Z test_sequential_workers (__main__.TestDataLoader) ... ok (0.134s) 2022-11-23T01:39:44.4595529Z test_shuffle (__main__.TestDataLoader) ... ok (0.090s) 2022-11-23T01:39:44.4595790Z test_shuffle_batch (__main__.TestDataLoader) ... ok (0.077s) 2022-11-23T01:39:44.4596049Z test_shuffle_batch_none (__main__.TestDataLoader) ... ok (0.080s) 2022-11-23T01:39:44.4597062Z test_shuffle_batch_workers (__main__.TestDataLoader) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/74548 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:39:44.4597645Z test_shuffle_batch_workers_prefetch (__main__.TestDataLoader) ... ok (0.117s) 2022-11-23T01:39:44.4597966Z test_shuffle_pin_memory (__main__.TestDataLoader) ... skip: CUDA unavailable (0.001s) 2022-11-23T01:39:44.4598268Z test_shuffle_reproducibility (__main__.TestDataLoader) ... ok (0.314s) 2022-11-23T01:39:44.4598592Z test_shuffle_workers (__main__.TestDataLoader) ... ok (0.181s) 2022-11-23T01:39:44.4599092Z test_timeout (__main__.TestDataLoader) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:39:44.4599450Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:39:44.4599885Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:39:44.4600231Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:39:44.4600455Z ok (2.697s) 2022-11-23T01:39:44.4600653Z test_typing (__main__.TestDataLoader) ... ok (0.002s) 2022-11-23T01:39:44.4601438Z test_worker_init_fn (__main__.TestDataLoader) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/82803 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:39:44.4602507Z test_worker_seed (__main__.TestDataLoader) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/80769 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:39:44.4603586Z test_worker_seed_reproducibility (__main__.TestDataLoader) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/80249 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:39:44.4604710Z test_batch_sampler (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/70756 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s) 2022-11-23T01:39:44.4605871Z test_builtin_collection_conversion (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/71037 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:39:44.4607029Z test_bulk_loading_nobatch (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/77769 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:39:44.4608233Z test_chain_iterable_style_dataset (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/80757 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:39:44.4608854Z test_dataset_not_reset (__main__.TestDataLoaderPersistentWorkers) ... ok (0.071s) 2022-11-23T01:39:44.4609219Z test_default_collate_bad_numpy_types (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s) 2022-11-23T01:39:44.4609599Z test_default_collate_bad_sequence_type (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s) 2022-11-23T01:39:44.4609965Z test_default_collate_dtype (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s) 2022-11-23T01:39:44.4610355Z test_default_collate_mapping_keep_type (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s) 2022-11-23T01:39:44.4610728Z test_default_collate_numpy_memmap (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s) 2022-11-23T01:39:44.4611109Z test_default_collate_sequence_dont_keep_type (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s) 2022-11-23T01:39:44.4611501Z test_default_collate_sequence_keep_type (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s) 2022-11-23T01:39:44.4611866Z test_default_collate_shared_tensor (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s) 2022-11-23T01:39:44.4612239Z test_default_convert_mapping_keep_type (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s) 2022-11-23T01:39:44.4612626Z test_default_convert_sequence_dont_keep_type (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s) 2022-11-23T01:39:44.4613002Z test_default_convert_sequence_keep_type (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s) 2022-11-23T01:39:44.4613393Z test_distributed_sampler_invalid_rank (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s) 2022-11-23T01:39:44.4613777Z test_duplicating_data_with_drop_last (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s) 2022-11-23T01:39:44.4614673Z test_early_exit (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/74868 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:39:44.4615281Z test_error (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s) 2022-11-23T01:39:44.4615598Z test_error_in_init (__main__.TestDataLoaderPersistentWorkers) ... ok (0.026s) 2022-11-23T01:39:44.4616472Z test_error_workers (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/78017 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:39:44.4617117Z test_excessive_thread_creation_warning (__main__.TestDataLoaderPersistentWorkers) ... ok (0.005s) 2022-11-23T01:39:44.4617489Z test_fd_limit_exceeded (__main__.TestDataLoaderPersistentWorkers) ... ok (1.612s) 2022-11-23T01:39:44.4618064Z test_get_worker_info (__main__.TestDataLoaderPersistentWorkers) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:39:44.4618470Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:39:44.4619103Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:39:44.4619475Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:39:44.4619695Z ok (3.416s) 2022-11-23T01:39:44.4619956Z test_growing_dataset (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s) 2022-11-23T01:39:44.4620313Z test_invalid_assign_after_init (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s) 2022-11-23T01:39:44.4620758Z test_invalid_ctor_args_combinations (__main__.TestDataLoaderPersistentWorkers) ... ok (0.003s) 2022-11-23T01:39:44.4621673Z test_iterable_style_dataset (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/73055 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.005s) 2022-11-23T01:39:44.4622310Z test_iterabledataset_len (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s) 2022-11-23T01:39:44.4622925Z test_large_sampler_indices (__main__.TestDataLoaderPersistentWorkers) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:39:44.4623390Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:39:44.4623818Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:39:44.4624171Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:39:44.4624399Z ok (3.064s) 2022-11-23T01:39:44.4624633Z test_len (__main__.TestDataLoaderPersistentWorkers) ... ok (0.010s) 2022-11-23T01:39:44.4624989Z test_multi_epochs_reproducibility (__main__.TestDataLoaderPersistentWorkers) ... ok (0.024s) 2022-11-23T01:39:44.4625899Z test_multiple_dataloaders (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/70947 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:39:44.4627063Z test_multiprocessing_contexts (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/71229 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:39:44.4628310Z test_multiprocessing_iterdatapipe (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/74498 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:39:44.4629469Z test_no_segfault (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/70968 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:39:44.4630080Z test_numpy (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s) 2022-11-23T01:39:44.4630402Z test_numpy_gen_state (__main__.TestDataLoaderPersistentWorkers) ... ok (0.004s) 2022-11-23T01:39:44.4630742Z test_numpy_scalars (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s) 2022-11-23T01:39:44.4631072Z test_partial_workers (__main__.TestDataLoaderPersistentWorkers) 2022-11-23T01:39:44.4631905Z Check that workers exit even if the iterator is not exhausted. ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/81034 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:39:44.4632485Z test_proper_exit (__main__.TestDataLoaderPersistentWorkers) 2022-11-23T01:39:44.4633471Z There might be ConnectionResetError or leaked semaphore warning (due to dirty process exit), but they are all safe to ignore ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/70517 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.004s) 2022-11-23T01:39:44.4634141Z test_random_sampler (__main__.TestDataLoaderPersistentWorkers) ... ok (0.003s) 2022-11-23T01:39:44.4634507Z test_random_sampler_len_with_replacement (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s) 2022-11-23T01:39:44.4634888Z test_random_sampler_len_without_replacement (__main__.TestDataLoaderPersistentWorkers) ... ok (0.002s) 2022-11-23T01:39:44.4635516Z test_sampler (__main__.TestDataLoaderPersistentWorkers) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:39:44.4635917Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:39:44.4636352Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:39:44.4636686Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:39:44.4637118Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:39:44.4637454Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:39:44.4637881Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:39:44.4638212Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:39:44.4638645Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:39:44.4638969Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:39:44.4639387Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:39:44.4639729Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:39:44.4640162Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:39:44.4640489Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:39:44.4640903Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:39:44.4641245Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:39:44.4641472Z ok (2.045s) 2022-11-23T01:39:44.4641729Z test_sampler_reproducibility (__main__.TestDataLoaderPersistentWorkers) ... ok (0.017s) 2022-11-23T01:39:44.4642320Z test_segfault (__main__.TestDataLoaderPersistentWorkers) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:121: UserWarning: loaded 51 slow tests 2022-11-23T01:39:44.4642723Z warnings.warn(f"loaded {len(slow_tests_dict)} slow tests") 2022-11-23T01:39:44.4643155Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:125: UserWarning: loaded 420 disabled tests 2022-11-23T01:39:44.4643484Z warnings.warn(f"loaded {len(disabled_tests_dict)} disabled tests") 2022-11-23T01:39:44.4643705Z ok (3.077s) 2022-11-23T01:39:44.4644512Z test_seqential_batch_workers (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/81891 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:39:44.4645164Z test_seqential_batch_workers_prefetch (__main__.TestDataLoaderPersistentWorkers) ... ok (0.077s) 2022-11-23T01:39:44.4645548Z test_sequential_batch (__main__.TestDataLoaderPersistentWorkers) ... ok (0.044s) 2022-11-23T01:39:44.4645898Z test_sequential_nonbatch (__main__.TestDataLoaderPersistentWorkers) ... ok (0.023s) 2022-11-23T01:39:44.4646283Z test_sequential_pin_memory (__main__.TestDataLoaderPersistentWorkers) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:39:44.4646656Z test_sequential_workers (__main__.TestDataLoaderPersistentWorkers) ... ok (0.137s) 2022-11-23T01:39:44.4646978Z test_shuffle (__main__.TestDataLoaderPersistentWorkers) ... ok (0.062s) 2022-11-23T01:39:44.4647307Z test_shuffle_batch (__main__.TestDataLoaderPersistentWorkers) ... ok (0.053s) 2022-11-23T01:39:44.4647644Z test_shuffle_batch_none (__main__.TestDataLoaderPersistentWorkers) ... ok (0.056s) 2022-11-23T01:39:44.4648567Z test_shuffle_batch_workers (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/74548 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:39:44.4649186Z test_shuffle_batch_workers_prefetch (__main__.TestDataLoaderPersistentWorkers) ... ok (0.121s) 2022-11-23T01:39:44.4649572Z test_shuffle_pin_memory (__main__.TestDataLoaderPersistentWorkers) ... skip: CUDA unavailable (0.001s) 2022-11-23T01:39:44.4649949Z test_shuffle_reproducibility (__main__.TestDataLoaderPersistentWorkers) ... ok (0.244s) 2022-11-23T01:39:44.4650301Z test_shuffle_workers (__main__.TestDataLoaderPersistentWorkers) ... ok (0.179s) 2022-11-23T01:39:44.4651144Z test_timeout (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/68844 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:39:44.4651746Z test_typing (__main__.TestDataLoaderPersistentWorkers) ... ok (0.001s) 2022-11-23T01:39:44.4652739Z test_worker_init_fn (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/82803 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:39:44.4653871Z test_worker_seed (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/80769 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:39:44.4655052Z test_worker_seed_reproducibility (__main__.TestDataLoaderPersistentWorkers) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/80249 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:39:44.4655678Z test_incomplete_fractional_splits (__main__.TestDatasetRandomSplit) ... ok (0.001s) 2022-11-23T01:39:44.4656002Z test_lengths_must_equal_dataset_size (__main__.TestDatasetRandomSplit) ... ok (0.001s) 2022-11-23T01:39:44.4656331Z test_slicing_of_subset_of_dataset (__main__.TestDatasetRandomSplit) ... ok (0.002s) 2022-11-23T01:39:44.4656667Z test_slicing_of_subset_of_subset (__main__.TestDatasetRandomSplit) ... ok (0.002s) 2022-11-23T01:39:44.4656996Z test_splits_are_mutually_exclusive (__main__.TestDatasetRandomSplit) ... ok (0.001s) 2022-11-23T01:39:44.4657297Z test_splits_generator (__main__.TestDatasetRandomSplit) ... ok (0.002s) 2022-11-23T01:39:44.4657651Z test_splits_have_correct_size (__main__.TestDatasetRandomSplit) ... ok (0.002s) 2022-11-23T01:39:44.4657961Z test_splits_indexing_type (__main__.TestDatasetRandomSplit) 2022-11-23T01:39:44.4658218Z Indices generated by random_split ... ok (0.003s) 2022-11-23T01:39:44.4658503Z test_splits_reproducibility (__main__.TestDatasetRandomSplit) ... ok (0.008s) 2022-11-23T01:39:44.4658984Z test_pin_memory (__main__.TestDictDataLoader) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:39:44.4659328Z test_pin_memory_device (__main__.TestDictDataLoader) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:39:44.4659662Z test_pin_memory_with_only_device (__main__.TestDictDataLoader) ... skip: CUDA unavailable (0.000s) 2022-11-23T01:39:44.4660039Z test_sequential_batch (__main__.TestDictDataLoader) ... ok (0.019s) 2022-11-23T01:39:44.4660907Z test_ind_worker_queue (__main__.TestIndividualWorkerQueue) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/68643 for platform(s) macos, linux, win. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:39:44.4661520Z test_dataloader_with_namedtuple (__main__.TestNamedTupleDataLoader) ... ok (0.002s) 2022-11-23T01:39:44.4661831Z test_set_affinity_in_worker_init (__main__.TestSetAffinity) ... ok (0.021s) 2022-11-23T01:39:44.4662154Z test_shuffle_pin_memory (__main__.TestStringDataLoader) ... skip: CUDA unavailable (0.001s) 2022-11-23T01:39:44.4662460Z test_getitem (__main__.TestTensorDataset) ... ok (0.006s) 2022-11-23T01:39:44.4662715Z test_getitem_1d (__main__.TestTensorDataset) ... ok (0.004s) 2022-11-23T01:39:44.4663034Z test_len (__main__.TestTensorDataset) ... ok (0.001s) 2022-11-23T01:39:44.4663348Z test_many_tensors (__main__.TestTensorDataset) ... ok (0.004s) 2022-11-23T01:39:44.4663623Z test_single_tensor (__main__.TestTensorDataset) ... ok (0.002s) 2022-11-23T01:39:44.4663769Z 2022-11-23T01:39:44.4663978Z ---------------------------------------------------------------------- 2022-11-23T01:39:44.4664224Z Ran 164 tests in 38.234s 2022-11-23T01:39:44.4664341Z 2022-11-23T01:39:44.4664418Z OK (skipped=43) 2022-11-23T01:39:44.4664526Z 2022-11-23T01:39:44.4664599Z Generating XML reports... 2022-11-23T01:39:44.4665014Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestConcatDataset-20221123013905.xml 2022-11-23T01:39:44.4665531Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestDataLoader-20221123013905.xml 2022-11-23T01:39:44.4666092Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestDataLoaderPersistentWorkers-20221123013905.xml 2022-11-23T01:39:44.4666660Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestDatasetRandomSplit-20221123013905.xml 2022-11-23T01:39:44.4667193Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestDictDataLoader-20221123013905.xml 2022-11-23T01:39:44.4667736Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestNamedTupleDataLoader-20221123013905.xml 2022-11-23T01:39:44.4668341Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestSetAffinity-20221123013905.xml 2022-11-23T01:39:44.4668853Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestTensorDataset-20221123013905.xml 2022-11-23T01:39:44.4669431Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-IntegrationTestDataLoaderDataPipe-20221123013905.xml 2022-11-23T01:39:44.4669995Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestConvAfterFork-20221123013905.xml 2022-11-23T01:39:44.4670508Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestCustomPinFn-20221123013905.xml 2022-11-23T01:39:44.4671029Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestIndividualWorkerQueue-20221123013905.xml 2022-11-23T01:39:44.4671640Z Generated XML report: test-reports/python-unittest/test_dataloader/TEST-TestStringDataLoader-20221123013905.xml 2022-11-23T01:39:44.4671881Z 2022-11-23T01:39:44.4672264Z ##[endgroup] 2022-11-23T01:39:44.4672642Z FINISHED PRINTING LOG FILE of test_dataloader (/var/lib/jenkins/workspace/test/test-reports/test_dataloader_drwuf48s) 2022-11-23T01:39:44.4672860Z 2022-11-23T01:39:46.2931865Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:39:46.4328896Z Ignoring disabled issues: [] 2022-11-23T01:39:46.4487385Z Running test_functional_autograd_benchmark ... [2022-11-23 01:39:46.448464] 2022-11-23T01:39:46.4489745Z Executing ['/opt/conda/bin/python', '-bb', 'test_functional_autograd_benchmark.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:39:46.448706] 2022-11-23T01:39:57.3865005Z 2022-11-23T01:39:57.3865579Z Expand the folded group to see the log file of test_jit 2022-11-23T01:39:57.3866600Z ##[group]PRINTING LOG FILE of test_jit (/var/lib/jenkins/workspace/test/test-reports/test_jit_ad6g44yf) 2022-11-23T01:39:57.3867807Z Test results will be stored in test-reports/python-unittest/test_jit 2022-11-23T01:39:57.3868315Z CUDA not available, skipping tests 2022-11-23T01:39:57.3868845Z monkeytype is not installed. Skipping tests for Profile-Directed Typing 2022-11-23T01:39:57.3869032Z 2022-11-23T01:39:57.3869110Z Running tests... 2022-11-23T01:39:57.3869487Z ---------------------------------------------------------------------- 2022-11-23T01:39:57.3870017Z test_becomes_wildcard_annotations (jit.test_alias_analysis.TestAliasAnalysis) ... ok (0.002s) 2022-11-23T01:39:57.3870681Z test_nested_list_construct_not_wildcard (jit.test_alias_analysis.TestAliasAnalysis) ... ok (0.011s) 2022-11-23T01:39:57.3871303Z test_recursive_calls (jit.test_alias_analysis.TestAliasAnalysis) ... ok (0.015s) 2022-11-23T01:39:57.3871781Z test_async_future_type_python (jit.test_async.TestAsync) ... ok (0.001s) 2022-11-23T01:39:57.3872264Z test_async_grad_guard_no_grad (jit.test_async.TestAsync) ... ok (0.045s) 2022-11-23T01:39:57.3872755Z test_async_grad_guard_with_grad (jit.test_async.TestAsync) ... ok (0.007s) 2022-11-23T01:39:57.3873198Z test_async_kwargs (jit.test_async.TestAsync) ... ok (0.198s) 2022-11-23T01:39:57.3873622Z test_async_parsing (jit.test_async.TestAsync) ... ok (0.009s) 2022-11-23T01:39:57.3873977Z test_async_python (jit.test_async.TestAsync) ... ok (0.003s) 2022-11-23T01:39:57.3874388Z test_async_script (jit.test_async.TestAsync) ... ok (0.006s) 2022-11-23T01:39:57.3874730Z test_async_script_capture (jit.test_async.TestAsync) ... ok (0.008s) 2022-11-23T01:39:57.3875148Z test_async_script_error (jit.test_async.TestAsync) ... ok (0.031s) 2022-11-23T01:39:57.3875497Z test_async_script_multi_forks (jit.test_async.TestAsync) ... ok (0.016s) 2022-11-23T01:39:57.3875858Z test_async_script_multi_waits (jit.test_async.TestAsync) ... ok (0.006s) 2022-11-23T01:39:57.3876351Z test_async_script_nested (jit.test_async.TestAsync) ... ok (0.010s) 2022-11-23T01:39:57.3879785Z test_async_script_no_script_mod (jit.test_async.TestAsync) ... ok (0.002s) 2022-11-23T01:39:57.3880509Z test_async_script_trace (jit.test_async.TestAsync) ... ok (0.034s) 2022-11-23T01:39:57.3881133Z test_future_subtyping (jit.test_async.TestAsync) 2022-11-23T01:39:57.3881746Z Test that futures subtype each other properly. ... ok (0.010s) 2022-11-23T01:39:57.3882399Z test_no_future_subtype_message (jit.test_async.TestAsync) ... ok (0.002s) 2022-11-23T01:39:57.3883027Z test_trace_fork_wait (jit.test_async.TestAsync) ... ok (0.011s) 2022-11-23T01:39:57.3883676Z test_trace_fork_wait_inline (jit.test_async.TestAsync) ... ok (0.008s) 2022-11-23T01:39:57.3884344Z test_trace_fork_wait_leaking (jit.test_async.TestAsync) ... ok (0.002s) 2022-11-23T01:39:57.3885015Z test_trace_fork_wait_list_modulecalls (jit.test_async.TestAsync) ... ok (0.025s) 2022-11-23T01:39:57.3885763Z test_trace_modulecalls_with_different_output_types (jit.test_async.TestAsync) ... ok (0.017s) 2022-11-23T01:39:57.3886738Z test_aten_pow_zero_negative_exponent (jit.test_aten_pow.TestAtenPow) 2022-11-23T01:39:57.3887355Z 1. Testing a = int, b = int ... ok (0.023s) 2022-11-23T01:39:57.3887972Z test_autodiff_requires_grad_nograd (jit.test_autodiff.TestAutodiffJit) ... ok (0.084s) 2022-11-23T01:39:57.3888719Z test_requires_grad_outputs (jit.test_autodiff.TestAutodiffJit) ... ok (0.052s) 2022-11-23T01:39:57.3889485Z test_requires_grad_outputs_profiled_twice (jit.test_autodiff.TestAutodiffJit) ... ok (0.116s) 2022-11-23T01:39:57.3890276Z test_requires_grad_outputs_side_effects (jit.test_autodiff.TestAutodiffJit) ... ok (0.116s) 2022-11-23T01:39:57.3891054Z test_undefined_tensor_lists (jit.test_autodiff.TestAutodiffJit) ... ok (0.115s) 2022-11-23T01:39:57.3892024Z test_aliased_outputs (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.003s) 2022-11-23T01:39:57.3892939Z test_bias_as_arg (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.360s) 2022-11-23T01:39:57.3893846Z test_bias_as_module_attr (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.313s) 2022-11-23T01:39:57.3894792Z test_chunk_constant_script_ad (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.005s) 2022-11-23T01:39:57.3896279Z test_constructed_bias (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.023s) 2022-11-23T01:39:57.3897375Z test_diff_graph_inline_threshold (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.007s) 2022-11-23T01:39:57.3898557Z test_differentiable_graph_ops_requires_grad (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... skip: disable until we property handle tensor lists with undefined gradients (0.002s) 2022-11-23T01:39:57.3899937Z test_does_not_create_cycles (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.006s) 2022-11-23T01:39:57.3900897Z test_does_not_merge_unrelated (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.006s) 2022-11-23T01:39:57.3902492Z test_has_profiled_info_aliasing_outputs (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.001s) 2022-11-23T01:39:57.3903465Z test_merge_respects_aliasing (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.010s) 2022-11-23T01:39:57.3904409Z test_merges_dense (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.006s) 2022-11-23T01:39:57.3905306Z test_merges_down (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.006s) 2022-11-23T01:39:57.3906197Z test_merges_up (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.006s) 2022-11-23T01:39:57.3907110Z test_merges_without_cycles (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.005s) 2022-11-23T01:39:57.3940464Z test_prune_grad (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... skip: Simple Executor doesn't support gradients (0.001s) 2022-11-23T01:39:57.3941413Z test_requires_grad_for_tensor_list (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.005s) 2022-11-23T01:39:57.3942300Z test_respects_lexical_scoping (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.007s) 2022-11-23T01:39:57.3943112Z test_simple_merge (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.005s) 2022-11-23T01:39:57.3943906Z test_simple_no_merge (jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing) ... ok (0.005s) 2022-11-23T01:39:57.3945034Z test_errors (jit.test_backends.TestBackends) ... [W backend_detail.cpp:393] Warning: Backend [test_backend_unavailable] is not available. Execution of this Module is still possible by saving and loading on a device where the backend is available. (function codegen_backend_module) 2022-11-23T01:39:57.3945975Z ok (0.148s) 2022-11-23T01:39:57.3947064Z test_execution (jit.test_backends.TestBackends) ... [W backend_detail.cpp:393] Warning: Backend [test_backend_unavailable] is not available. Execution of this Module is still possible by saving and loading on a device where the backend is available. (function codegen_backend_module) 2022-11-23T01:39:57.3947947Z ok (0.134s) 2022-11-23T01:39:57.3948908Z test_save_load (jit.test_backends.TestBackends) ... [W backend_detail.cpp:393] Warning: Backend [test_backend_unavailable] is not available. Execution of this Module is still possible by saving and loading on a device where the backend is available. (function codegen_backend_module) 2022-11-23T01:39:57.3949752Z ok (0.237s) 2022-11-23T01:39:57.3950252Z test_errors (jit.test_backends.TestBackendsWithCompiler) ... ok (0.046s) 2022-11-23T01:39:57.3951022Z test_execution (jit.test_backends.TestBackendsWithCompiler) ... ok (0.067s) 2022-11-23T01:39:57.3951658Z test_batch_mm_no_mutation (jit.test_batch_mm.TestBatchMM) ... ok (0.006s) 2022-11-23T01:39:57.3952259Z test_batch_mm_permitted_mutation (jit.test_batch_mm.TestBatchMM) ... ok (0.007s) 2022-11-23T01:39:57.3952898Z test_batch_mm_prohibited_mutation (jit.test_batch_mm.TestBatchMM) ... ok (0.007s) 2022-11-23T01:39:57.3953552Z test_batch_mm_prohibited_mutation_if_node (jit.test_batch_mm.TestBatchMM) ... ok (0.009s) 2022-11-23T01:39:57.3954215Z test_batch_mm_prohibited_mutation_multiple_adds (jit.test_batch_mm.TestBatchMM) ... ok (0.009s) 2022-11-23T01:39:57.3954885Z test_batch_mm_side_permitted_mutation (jit.test_batch_mm.TestBatchMM) ... ok (0.008s) 2022-11-23T01:39:57.3955565Z test_batch_mm_side_prohibited_mutation_common_side (jit.test_batch_mm.TestBatchMM) ... ok (0.010s) 2022-11-23T01:39:57.3956274Z test_batch_mm_side_prohibited_mutation_uncommon_side (jit.test_batch_mm.TestBatchMM) ... ok (0.010s) 2022-11-23T01:39:57.3957044Z test_del (jit.test_builtins.TestBuiltins) ... ok (0.006s) 2022-11-23T01:39:57.3957636Z test_del_multiple_operands (jit.test_builtins.TestBuiltins) ... ok (0.009s) 2022-11-23T01:39:57.3958228Z test_has_attr (jit.test_builtins.TestBuiltins) ... ok (0.018s) 2022-11-23T01:39:57.3958810Z test_has_attr_invalid_args (jit.test_builtins.TestBuiltins) ... ok (0.009s) 2022-11-23T01:39:57.3960553Z test_cast_overloads (jit.test_class_type.TestClassType) ... ok (0.011s) 2022-11-23T01:39:57.3961132Z test_class_attribute_wrong_type (jit.test_class_type.TestClassType) 2022-11-23T01:39:57.3961721Z Test that the error message displayed when convering a class type ... ok (0.005s) 2022-11-23T01:39:57.3962291Z test_class_constant (jit.test_class_type.TestClassType) ... ok (0.033s) 2022-11-23T01:39:57.3962841Z test_class_constructs_itself (jit.test_class_type.TestClassType) ... ok (0.005s) 2022-11-23T01:39:57.3963430Z test_class_inheritance (jit.test_class_type.TestClassType) ... ok (0.003s) 2022-11-23T01:39:57.3964004Z test_class_inheritance_implicit (jit.test_class_type.TestClassType) 2022-11-23T01:39:57.3964531Z Test that inheritance is detected in ... ok (0.011s) 2022-11-23T01:39:57.3965165Z test_class_sorting (jit.test_class_type.TestClassType) ... ok (0.057s) 2022-11-23T01:39:57.3965758Z test_class_specialization (jit.test_class_type.TestClassType) ... ok (0.067s) 2022-11-23T01:39:57.3966367Z test_class_type_as_param (jit.test_class_type.TestClassType) ... ok (0.008s) 2022-11-23T01:39:57.3966901Z test_classmethod (jit.test_class_type.TestClassType) 2022-11-23T01:39:57.3967386Z Test classmethods on class types. ... ok (0.008s) 2022-11-23T01:39:57.3967921Z test_conditional_set_attr (jit.test_class_type.TestClassType) ... ok (0.002s) 2022-11-23T01:39:57.3968482Z test_custom_delete (jit.test_class_type.TestClassType) 2022-11-23T01:39:57.3969002Z Test that del can be called on an instance of a class that ... ok (0.013s) 2022-11-23T01:39:57.3969535Z test_default_args (jit.test_class_type.TestClassType) 2022-11-23T01:39:57.3970084Z Test that methods on class types can have default arguments. ... ok (0.055s) 2022-11-23T01:39:57.3970627Z test_get_attr (jit.test_class_type.TestClassType) ... ok (0.005s) 2022-11-23T01:39:57.3971318Z test_get_attr_not_initialized (jit.test_class_type.TestClassType) ... ok (0.003s) 2022-11-23T01:39:57.3971913Z test_get_with_method (jit.test_class_type.TestClassType) ... ok (0.001s) 2022-11-23T01:39:57.3972483Z test_imported_classes (jit.test_class_type.TestClassType) ... ok (0.021s) 2022-11-23T01:39:57.3973021Z test_in (jit.test_class_type.TestClassType) ... ok (0.006s) 2022-11-23T01:39:57.3973532Z test_init_compiled_first (jit.test_class_type.TestClassType) ... ok (0.003s) 2022-11-23T01:39:57.3974100Z test_interface (jit.test_class_type.TestClassType) ... ok (0.072s) 2022-11-23T01:39:57.3974674Z test_optional_type_promotion (jit.test_class_type.TestClassType) ... ok (0.005s) 2022-11-23T01:39:57.3975355Z test_out_of_order_methods (jit.test_class_type.TestClassType) ... ok (0.007s) 2022-11-23T01:39:57.3975927Z test_overloaded_fn (jit.test_class_type.TestClassType) ... ok (0.136s) 2022-11-23T01:39:57.3976453Z test_properties (jit.test_class_type.TestClassType) 2022-11-23T01:39:57.3977024Z Test that a scripted class can make use of the @property decorator. ... ok (0.027s) 2022-11-23T01:39:57.3977660Z test_py_class_to_ivalue_missing_attribute (jit.test_class_type.TestClassType) ... ok (0.006s) 2022-11-23T01:39:57.3978275Z test_python_interop (jit.test_class_type.TestClassType) ... ok (0.006s) 2022-11-23T01:39:57.3978909Z test_recursive_class (jit.test_class_type.TestClassType) 2022-11-23T01:39:57.3979501Z Recursive class types not yet supported. We should give a good error message. ... ok (0.002s) 2022-11-23T01:39:57.3980149Z test_recursive_script_builtin_type_resolution (jit.test_class_type.TestClassType) 2022-11-23T01:39:57.3981105Z Test resolution of built-in torch types(e.g. torch.Tensor, torch.device) when a class is recursively compiled. ... ok (0.039s) 2022-11-23T01:39:57.3981854Z test_recursive_script_module_builtin_type_resolution (jit.test_class_type.TestClassType) 2022-11-23T01:39:57.3982777Z Test resolution of built-in torch types(e.g. torch.Tensor, torch.device) when a class is recursively compiled ... ok (0.013s) 2022-11-23T01:39:57.3983457Z test_recursive_scripting (jit.test_class_type.TestClassType) 2022-11-23T01:39:57.3984062Z Test that class types are recursively scripted when an Python instance of one ... ok (0.010s) 2022-11-23T01:39:57.3984682Z test_recursive_scripting_failed (jit.test_class_type.TestClassType) 2022-11-23T01:39:57.3985274Z Test that class types module attributes that fail to script ... ok (0.014s) 2022-11-23T01:39:57.3985843Z test_reference_semantics (jit.test_class_type.TestClassType) 2022-11-23T01:39:57.3986411Z Test that modifications made to a class instance in TorchScript ... ok (0.008s) 2022-11-23T01:39:57.3987023Z test_save_load_with_classes (jit.test_class_type.TestClassType) ... ok (0.009s) 2022-11-23T01:39:57.3987665Z test_save_load_with_classes_nested (jit.test_class_type.TestClassType) ... ok (0.015s) 2022-11-23T01:39:57.3988372Z test_save_load_with_classes_returned (jit.test_class_type.TestClassType) ... ok (0.009s) 2022-11-23T01:39:57.3988986Z test_schema_human_readable (jit.test_class_type.TestClassType) 2022-11-23T01:39:57.3989702Z Make sure that the schema is human readable, ie the mode parameter should read "nearest" instead of being displayed in octal ... ok (0.234s) 2022-11-23T01:39:57.3990422Z test_self_referential_method (jit.test_class_type.TestClassType) 2022-11-23T01:39:57.3991018Z Test that a scripted class can have a method that refers to the class itself ... ok (0.012s) 2022-11-23T01:39:57.3991641Z test_set_attr_in_method (jit.test_class_type.TestClassType) ... ok (0.007s) 2022-11-23T01:39:57.3992257Z test_set_attr_non_initialized (jit.test_class_type.TestClassType) ... ok (0.003s) 2022-11-23T01:39:57.3992881Z test_set_attr_type_mismatch (jit.test_class_type.TestClassType) ... ok (0.002s) 2022-11-23T01:39:57.3993435Z test_staticmethod (jit.test_class_type.TestClassType) 2022-11-23T01:39:57.3993941Z Test static methods on class types. ... ok (0.018s) 2022-11-23T01:39:57.3994462Z test_type_annotation (jit.test_class_type.TestClassType) 2022-11-23T01:39:57.3995185Z Test that annotating container attributes with types works correctly ... ok (0.006s) 2022-11-23T01:39:57.3995801Z test_type_annotations (jit.test_class_type.TestClassType) ... ok (0.003s) 2022-11-23T01:39:57.3996431Z test_unresolved_class_attributes (jit.test_class_type.TestClassType) ... ok (0.006s) 2022-11-23T01:39:57.3997021Z test_unused_method (jit.test_class_type.TestClassType) 2022-11-23T01:39:57.3997518Z Test unused methods on scripted classes. ... ok (0.013s) 2022-11-23T01:39:57.3998083Z test_binary_op_complex_tensor (jit.test_complex.TestComplex) ... ok (0.018s) 2022-11-23T01:39:57.3998672Z test_comparison_ops (jit.test_complex.TestComplex) ... ok (0.014s) 2022-11-23T01:39:57.3999326Z test_complex_constants_and_ops (jit.test_complex.TestComplex) ... ok (0.517s) 2022-11-23T01:39:57.3999925Z test_complex_constructor (jit.test_complex.TestComplex) ... ok (0.054s) 2022-11-23T01:39:57.4000504Z test_complex_list_sum (jit.test_complex.TestComplex) ... ok (0.004s) 2022-11-23T01:39:57.4001068Z test_complex_parse (jit.test_complex.TestComplex) ... ok (0.007s) 2022-11-23T01:39:57.4001596Z test_complexdict (jit.test_complex.TestComplex) ... ok (0.004s) 2022-11-23T01:39:57.4002142Z test_complexlist (jit.test_complex.TestComplex) ... ok (0.004s) 2022-11-23T01:39:57.4002661Z test_div (jit.test_complex.TestComplex) ... ok (0.004s) 2022-11-23T01:39:57.4003174Z test_infj_nanj_pickle (jit.test_complex.TestComplex) ... ok (0.008s) 2022-11-23T01:39:57.4003711Z test_pickle (jit.test_complex.TestComplex) ... ok (0.008s) 2022-11-23T01:39:57.4004223Z test_script (jit.test_complex.TestComplex) ... ok (0.003s) 2022-11-23T01:39:57.4004754Z test_tensor_attributes (jit.test_complex.TestComplex) ... ok (0.007s) 2022-11-23T01:39:57.4005368Z test_torch_complex_constructor_with_tensor (jit.test_complex.TestComplex) ... ok (0.043s) 2022-11-23T01:39:57.4006062Z test_calling_scripted_custom_op (jit.test_custom_operators.TestCustomOperators) ... ok (0.003s) 2022-11-23T01:39:57.4006776Z test_calling_traced_custom_op (jit.test_custom_operators.TestCustomOperators) ... ok (0.005s) 2022-11-23T01:39:57.4007461Z test_default_arguments_are_used (jit.test_custom_operators.TestCustomOperators) ... ok (0.001s) 2022-11-23T01:39:57.4008145Z test_dynamic_op_registry (jit.test_custom_operators.TestCustomOperators) ... ok (0.002s) 2022-11-23T01:39:57.4008806Z test_generic_list (jit.test_custom_operators.TestCustomOperators) ... ok (0.001s) 2022-11-23T01:39:57.4009483Z test_passing_and_returning_lists (jit.test_custom_operators.TestCustomOperators) ... ok (0.001s) 2022-11-23T01:39:57.4010237Z test_passing_one_positional_but_not_the_second (jit.test_custom_operators.TestCustomOperators) ... ok (0.001s) 2022-11-23T01:39:57.4010973Z test_passing_too_few_args (jit.test_custom_operators.TestCustomOperators) ... ok (0.001s) 2022-11-23T01:39:57.4011655Z test_passing_too_many_args (jit.test_custom_operators.TestCustomOperators) ... ok (0.001s) 2022-11-23T01:39:57.4012337Z test_passing_unknown_kwargs (jit.test_custom_operators.TestCustomOperators) ... ok (0.001s) 2022-11-23T01:39:57.4013060Z test_script_graph_contains_custom_op (jit.test_custom_operators.TestCustomOperators) ... ok (0.003s) 2022-11-23T01:39:57.4013990Z test_script_graph_for_custom_ops_matches_traced_graph (jit.test_custom_operators.TestCustomOperators) ... skip: Need to figure out default dtype differences between fbcode and oss (0.000s) 2022-11-23T01:39:57.4014879Z test_simply_calling_an_operator (jit.test_custom_operators.TestCustomOperators) ... ok (0.001s) 2022-11-23T01:39:57.4015559Z test_where_no_scalar (jit.test_custom_operators.TestCustomOperators) ... ok (0.003s) 2022-11-23T01:39:57.4016149Z test_setattr_no_aliasdb (jit.test_dce.TestDCE) ... ok (0.005s) 2022-11-23T01:39:57.4016661Z test_setattr_removed (jit.test_dce.TestDCE) ... ok (0.008s) 2022-11-23T01:39:57.4017518Z test_python_submodule_script (jit.test_data_parallel.TestDataParallel) ... skip: multi-GPU not supported (0.000s) 2022-11-23T01:39:57.4018519Z test_shared_module (jit.test_data_parallel.TestDataParallel) ... skip: multi-GPU not supported (0.000s) 2022-11-23T01:39:57.4019562Z test_tensor_sharing (jit.test_data_parallel.TestDataParallel) ... skip: multi-GPU not supported (0.001s) 2022-11-23T01:39:57.4020510Z test_tensor_sharing_with_forward (jit.test_data_parallel.TestDataParallel) ... skip: multi-GPU not supported (0.001s) 2022-11-23T01:39:57.4021416Z test_traced_module (jit.test_data_parallel.TestDataParallel) ... skip: multi-GPU not supported (0.000s) 2022-11-23T01:39:57.4022080Z test__post_init__ (jit.test_dataclasses.TestDataclasses) ... ok (3.230s) 2022-11-23T01:39:57.4022680Z test_comparators (jit.test_dataclasses.TestDataclasses) ... ok (4.617s) 2022-11-23T01:39:57.4023375Z test_custom__eq__ (jit.test_dataclasses.TestDataclasses) ... ok (0.009s) 2022-11-23T01:39:57.4023969Z test_default_factories (jit.test_dataclasses.TestDataclasses) ... ok (0.002s) 2022-11-23T01:39:57.4024654Z test_init_vars (jit.test_dataclasses.TestDataclasses) ... skip: InitVar not supported in Python < 3.8 (0.001s) 2022-11-23T01:39:57.4025320Z test_no_source (jit.test_dataclasses.TestDataclasses) ... ok (0.013s) 2022-11-23T01:39:57.4025950Z test_use_unregistered_dataclass_raises (jit.test_dataclasses.TestDataclasses) ... ok (0.001s) 2022-11-23T01:39:57.4026625Z test_custom_device_op (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.008s) 2022-11-23T01:39:57.4027272Z test_device_apply (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.002s) 2022-11-23T01:39:57.4027904Z test_device_arg (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.003s) 2022-11-23T01:39:57.4028621Z test_device_if_propagation (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.004s) 2022-11-23T01:39:57.4029278Z test_if_loop_mix (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.004s) 2022-11-23T01:39:57.4029918Z test_loop_device_change (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.003s) 2022-11-23T01:39:57.4030551Z test_loop_simple (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.003s) 2022-11-23T01:39:57.4031172Z test_mobilenet (jit.test_device_analysis.TestDeviceAnalysis) ... ok (3.497s) 2022-11-23T01:39:57.4031791Z test_nested_loops (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.005s) 2022-11-23T01:39:57.4032413Z test_set_dtype (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.003s) 2022-11-23T01:39:57.4033006Z test_simple (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.005s) 2022-11-23T01:39:57.4033626Z test_tensor_as_fns (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.010s) 2022-11-23T01:39:57.4034249Z test_while_change (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.004s) 2022-11-23T01:39:57.4034857Z test_zerodim_cpu (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.012s) 2022-11-23T01:39:57.4035505Z test_zerodim_gpu (jit.test_device_analysis.TestDeviceAnalysis) ... skip: No CUDA (0.000s) 2022-11-23T01:39:57.4036157Z test_zerodim_no_device (jit.test_device_analysis.TestDeviceAnalysis) ... ok (0.024s) 2022-11-23T01:39:57.4036737Z test_aug_assign (jit.test_list_dict.TestDict) ... ok (0.019s) 2022-11-23T01:39:57.4037224Z test_basic (jit.test_list_dict.TestDict) ... ok (0.022s) 2022-11-23T01:39:57.4037707Z test_clear (jit.test_list_dict.TestDict) ... ok (0.004s) 2022-11-23T01:39:57.4038182Z test_copy (jit.test_list_dict.TestDict) ... ok (0.005s) 2022-11-23T01:39:57.4038650Z test_del (jit.test_list_dict.TestDict) ... ok (0.009s) 2022-11-23T01:39:57.4039165Z test_dict_bool_conversion (jit.test_list_dict.TestDict) ... ok (0.024s) 2022-11-23T01:39:57.4039717Z test_dict_preserves_order (jit.test_list_dict.TestDict) ... ok (0.092s) 2022-11-23T01:39:57.4040269Z test_dict_to_python (jit.test_list_dict.TestDict) ... ok (0.005s) 2022-11-23T01:39:57.4040744Z test_dict_variance (jit.test_list_dict.TestDict) 2022-11-23T01:39:57.4041237Z `Dict[T1, _]` is not a subtype of `Dict[T2, _]`, even if `T1` is ... ok (0.012s) 2022-11-23T01:39:57.4041734Z test_get (jit.test_list_dict.TestDict) ... ok (0.009s) 2022-11-23T01:39:57.4042356Z test_get_boolkey (jit.test_list_dict.TestDict) ... ok (0.010s) 2022-11-23T01:39:57.4042865Z test_items (jit.test_list_dict.TestDict) ... ok (0.003s) 2022-11-23T01:39:57.4043361Z test_key_type (jit.test_list_dict.TestDict) ... ok (0.002s) 2022-11-23T01:39:57.4043834Z test_keys (jit.test_list_dict.TestDict) ... ok (0.006s) 2022-11-23T01:39:57.4044307Z test_len (jit.test_list_dict.TestDict) ... ok (0.004s) 2022-11-23T01:39:57.4044789Z test_loop (jit.test_list_dict.TestDict) ... ok (0.004s) 2022-11-23T01:39:57.4045284Z test_membership (jit.test_list_dict.TestDict) ... ok (0.009s) 2022-11-23T01:39:57.4045846Z test_mutability (jit.test_list_dict.TestDict) ... ok (0.003s) 2022-11-23T01:39:57.4046394Z test_optional_dict_construct (jit.test_list_dict.TestDict) ... ok (0.011s) 2022-11-23T01:39:57.4046941Z test_ordered_dict (jit.test_list_dict.TestDict) ... ok (0.014s) 2022-11-23T01:39:57.4047433Z test_pop (jit.test_list_dict.TestDict) ... ok (0.011s) 2022-11-23T01:39:57.4047943Z test_popitem (jit.test_list_dict.TestDict) ... ok (0.004s) 2022-11-23T01:39:57.4048455Z test_setdefault (jit.test_list_dict.TestDict) ... ok (0.008s) 2022-11-23T01:39:57.4048995Z test_type_annotation_missing_contained_type (jit.test_list_dict.TestDict) 2022-11-23T01:39:57.4049581Z Test that the use of a Dict type annotation without contained ... ok (0.003s) 2022-11-23T01:39:57.4050117Z test_update (jit.test_list_dict.TestDict) ... ok (0.011s) 2022-11-23T01:39:57.4050641Z test_update_existing_key (jit.test_list_dict.TestDict) ... ok (0.005s) 2022-11-23T01:39:57.4051148Z test_values (jit.test_list_dict.TestDict) ... ok (0.003s) 2022-11-23T01:39:57.4053548Z test_view (jit.test_list_dict.TestDict) ... ok (0.062s) 2022-11-23T01:39:57.4054113Z test_binary_scalar (jit.test_dtype_analysis.TestDtypeAnalysis) ... ok (0.009s) 2022-11-23T01:39:57.4055674Z test_binary_tensors (jit.test_dtype_analysis.TestDtypeAnalysis) ... /var/lib/jenkins/workspace/test/jit/test_dtype_analysis.py:165: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/EmptyTensor.cpp:32.) 2022-11-23T01:39:57.4056646Z rand_tensor = torch.rand(shape, dtype=dtype) 2022-11-23T01:39:57.4057025Z ok (0.080s) 2022-11-23T01:39:57.4057487Z test_combined (jit.test_dtype_analysis.TestDtypeAnalysis) ... ok (0.008s) 2022-11-23T01:39:57.4058103Z test_conv_no_mixed_args (jit.test_dtype_analysis.TestDtypeAnalysis) ... ok (0.015s) 2022-11-23T01:39:57.4058732Z test_custom_rules (jit.test_dtype_analysis.TestDtypeAnalysis) ... ok (0.016s) 2022-11-23T01:39:57.4059460Z test_unary (jit.test_dtype_analysis.TestDtypeAnalysis) ... ok (0.035s) 2022-11-23T01:39:57.4060276Z test_custom_rules_expected_failure_nn_functional_adaptive_max_pool3d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... expected failure (0.011s) 2022-11-23T01:39:57.4061247Z test_custom_rules_expected_failure_nn_functional_adaptive_max_pool3d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... expected failure (0.011s) 2022-11-23T01:39:57.4062180Z test_custom_rules_ints_nn_functional_adaptive_avg_pool1d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-11-23T01:39:57.4063046Z test_custom_rules_ints_nn_functional_adaptive_avg_pool1d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-11-23T01:39:57.4063916Z test_custom_rules_ints_nn_functional_adaptive_avg_pool1d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-11-23T01:39:57.4064786Z test_custom_rules_ints_nn_functional_adaptive_avg_pool2d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-11-23T01:39:57.4065663Z test_custom_rules_ints_nn_functional_adaptive_avg_pool2d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-11-23T01:39:57.4066660Z test_custom_rules_ints_nn_functional_adaptive_avg_pool2d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-11-23T01:39:57.4067534Z test_custom_rules_ints_nn_functional_adaptive_avg_pool3d_cpu_float16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-11-23T01:39:57.4068461Z test_custom_rules_ints_nn_functional_adaptive_avg_pool3d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-11-23T01:39:57.4069319Z test_custom_rules_ints_nn_functional_adaptive_avg_pool3d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-11-23T01:39:57.4070181Z test_custom_rules_ints_nn_functional_adaptive_max_pool1d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-11-23T01:39:57.4071119Z test_custom_rules_ints_nn_functional_adaptive_max_pool1d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-11-23T01:39:57.4071971Z test_custom_rules_ints_nn_functional_adaptive_max_pool1d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-11-23T01:39:57.4072844Z test_custom_rules_ints_nn_functional_adaptive_max_pool2d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.005s) 2022-11-23T01:39:57.4073704Z test_custom_rules_ints_nn_functional_adaptive_max_pool2d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.005s) 2022-11-23T01:39:57.4074562Z test_custom_rules_ints_nn_functional_adaptive_max_pool2d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.005s) 2022-11-23T01:39:57.4075401Z test_custom_rules_ints_nn_functional_avg_pool1d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-11-23T01:39:57.4076248Z test_custom_rules_ints_nn_functional_avg_pool1d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-11-23T01:39:57.4077100Z test_custom_rules_ints_nn_functional_avg_pool1d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-11-23T01:39:57.4077936Z test_custom_rules_ints_nn_functional_avg_pool1d_cpu_int64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-11-23T01:39:57.4078785Z test_custom_rules_ints_nn_functional_avg_pool2d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-11-23T01:39:57.4079622Z test_custom_rules_ints_nn_functional_avg_pool2d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.005s) 2022-11-23T01:39:57.4080441Z test_custom_rules_ints_nn_functional_avg_pool2d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-11-23T01:39:57.4081258Z test_custom_rules_ints_nn_functional_avg_pool2d_cpu_int64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-11-23T01:39:57.4082078Z test_custom_rules_ints_nn_functional_avg_pool3d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.005s) 2022-11-23T01:39:57.4082914Z test_custom_rules_ints_nn_functional_avg_pool3d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-11-23T01:39:57.4083734Z test_custom_rules_ints_nn_functional_avg_pool3d_cpu_int64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-11-23T01:39:57.4084564Z test_custom_rules_ints_nn_functional_batch_norm_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-11-23T01:39:57.4085378Z test_custom_rules_ints_nn_functional_batch_norm_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-11-23T01:39:57.4086202Z test_custom_rules_ints_nn_functional_batch_norm_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-11-23T01:39:57.4087023Z test_custom_rules_ints_nn_functional_conv1d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.009s) 2022-11-23T01:39:57.4087850Z test_custom_rules_ints_nn_functional_conv1d_cpu_complex128 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.009s) 2022-11-23T01:39:57.4088754Z test_custom_rules_ints_nn_functional_conv1d_cpu_complex64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.009s) 2022-11-23T01:39:57.4089572Z test_custom_rules_ints_nn_functional_conv1d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.008s) 2022-11-23T01:39:57.4090391Z test_custom_rules_ints_nn_functional_conv1d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.009s) 2022-11-23T01:39:57.4091196Z test_custom_rules_ints_nn_functional_conv1d_cpu_int64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.009s) 2022-11-23T01:39:57.4091991Z test_custom_rules_ints_nn_functional_conv2d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.009s) 2022-11-23T01:39:57.4092885Z test_custom_rules_ints_nn_functional_conv2d_cpu_complex128 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.009s) 2022-11-23T01:39:57.4093722Z test_custom_rules_ints_nn_functional_conv2d_cpu_complex64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.009s) 2022-11-23T01:39:57.4094544Z test_custom_rules_ints_nn_functional_conv2d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.008s) 2022-11-23T01:39:57.4095331Z test_custom_rules_ints_nn_functional_conv2d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.009s) 2022-11-23T01:39:57.4096137Z test_custom_rules_ints_nn_functional_conv2d_cpu_int64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.010s) 2022-11-23T01:39:57.4096975Z test_custom_rules_ints_nn_functional_conv_transpose2d_cpu_complex128 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.009s) 2022-11-23T01:39:57.4097859Z test_custom_rules_ints_nn_functional_conv_transpose2d_cpu_complex64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.009s) 2022-11-23T01:39:57.4098709Z test_custom_rules_ints_nn_functional_conv_transpose2d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.009s) 2022-11-23T01:39:57.4104200Z test_custom_rules_ints_nn_functional_conv_transpose2d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.009s) 2022-11-23T01:39:57.4105043Z test_custom_rules_ints_nn_functional_conv_transpose2d_cpu_int64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.009s) 2022-11-23T01:39:57.4105894Z test_custom_rules_ints_nn_functional_hardswish_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.005s) 2022-11-23T01:39:57.4106698Z test_custom_rules_ints_nn_functional_hardswish_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.005s) 2022-11-23T01:39:57.4107510Z test_custom_rules_ints_nn_functional_hardswish_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.005s) 2022-11-23T01:39:57.4108436Z test_custom_rules_ints_nn_functional_max_pool1d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-11-23T01:39:57.4109269Z test_custom_rules_ints_nn_functional_max_pool1d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-11-23T01:39:57.4110072Z test_custom_rules_ints_nn_functional_max_pool1d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-11-23T01:39:57.4110887Z test_custom_rules_ints_nn_functional_max_pool2d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.005s) 2022-11-23T01:39:57.4111706Z test_custom_rules_ints_nn_functional_max_pool2d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.005s) 2022-11-23T01:39:57.4112523Z test_custom_rules_ints_nn_functional_max_pool2d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.005s) 2022-11-23T01:39:57.4113324Z test_custom_rules_ints_nn_functional_max_pool3d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.005s) 2022-11-23T01:39:57.4114136Z test_custom_rules_ints_nn_functional_max_pool3d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.005s) 2022-11-23T01:39:57.4115127Z test_custom_rules_ints_nn_functional_prelu_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-11-23T01:39:57.4115945Z test_custom_rules_ints_nn_functional_prelu_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-11-23T01:39:57.4116741Z test_custom_rules_ints_nn_functional_prelu_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-11-23T01:39:57.4117584Z test_custom_rules_nn_functional_adaptive_avg_pool1d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-11-23T01:39:57.4118446Z test_custom_rules_nn_functional_adaptive_avg_pool1d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-11-23T01:39:57.4119397Z test_custom_rules_nn_functional_adaptive_avg_pool1d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-11-23T01:39:57.4120231Z test_custom_rules_nn_functional_adaptive_avg_pool2d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.008s) 2022-11-23T01:39:57.4121080Z test_custom_rules_nn_functional_adaptive_avg_pool2d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-11-23T01:39:57.4121926Z test_custom_rules_nn_functional_adaptive_avg_pool2d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-11-23T01:39:57.4122764Z test_custom_rules_nn_functional_adaptive_avg_pool3d_cpu_float16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-11-23T01:39:57.4123598Z test_custom_rules_nn_functional_adaptive_avg_pool3d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-11-23T01:39:57.4124451Z test_custom_rules_nn_functional_adaptive_avg_pool3d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-11-23T01:39:57.4125326Z test_custom_rules_nn_functional_adaptive_max_pool1d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-11-23T01:39:57.4126178Z test_custom_rules_nn_functional_adaptive_max_pool1d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-11-23T01:39:57.4127012Z test_custom_rules_nn_functional_adaptive_max_pool1d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-11-23T01:39:57.4127859Z test_custom_rules_nn_functional_adaptive_max_pool2d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-11-23T01:39:57.4128715Z test_custom_rules_nn_functional_adaptive_max_pool2d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-11-23T01:39:57.4129556Z test_custom_rules_nn_functional_adaptive_max_pool2d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-11-23T01:39:57.4130369Z test_custom_rules_nn_functional_avg_pool1d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-11-23T01:39:57.4131176Z test_custom_rules_nn_functional_avg_pool1d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-11-23T01:39:57.4131971Z test_custom_rules_nn_functional_avg_pool1d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-11-23T01:39:57.4132777Z test_custom_rules_nn_functional_avg_pool1d_cpu_int64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-11-23T01:39:57.4133567Z test_custom_rules_nn_functional_avg_pool2d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-11-23T01:39:57.4134377Z test_custom_rules_nn_functional_avg_pool2d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-11-23T01:39:57.4135201Z test_custom_rules_nn_functional_avg_pool2d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-11-23T01:39:57.4135995Z test_custom_rules_nn_functional_avg_pool2d_cpu_int64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-11-23T01:39:57.4136860Z test_custom_rules_nn_functional_avg_pool3d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-11-23T01:39:57.4137677Z test_custom_rules_nn_functional_avg_pool3d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-11-23T01:39:57.4138384Z test_custom_rules_nn_functional_avg_pool3d_cpu_int64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-11-23T01:39:57.4139044Z test_custom_rules_nn_functional_batch_norm_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.008s) 2022-11-23T01:39:57.4139571Z test_custom_rules_nn_functional_batch_norm_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.008s) 2022-11-23T01:39:57.4140265Z test_custom_rules_nn_functional_batch_norm_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.008s) 2022-11-23T01:39:57.4140814Z test_custom_rules_nn_functional_conv1d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.009s) 2022-11-23T01:39:57.4141448Z test_custom_rules_nn_functional_conv1d_cpu_complex128 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... expected failure (0.023s) 2022-11-23T01:39:57.4142091Z test_custom_rules_nn_functional_conv1d_cpu_complex64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... expected failure (0.022s) 2022-11-23T01:39:57.4142718Z test_custom_rules_nn_functional_conv1d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.009s) 2022-11-23T01:39:57.4143307Z test_custom_rules_nn_functional_conv1d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.009s) 2022-11-23T01:39:57.4143897Z test_custom_rules_nn_functional_conv1d_cpu_int64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.009s) 2022-11-23T01:39:57.4144488Z test_custom_rules_nn_functional_conv2d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.009s) 2022-11-23T01:39:57.4145095Z test_custom_rules_nn_functional_conv2d_cpu_complex128 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... expected failure (0.023s) 2022-11-23T01:39:57.4145750Z test_custom_rules_nn_functional_conv2d_cpu_complex64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... expected failure (0.022s) 2022-11-23T01:39:57.4146362Z test_custom_rules_nn_functional_conv2d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.009s) 2022-11-23T01:39:57.4146937Z test_custom_rules_nn_functional_conv2d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.009s) 2022-11-23T01:39:57.4147526Z test_custom_rules_nn_functional_conv2d_cpu_int64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.009s) 2022-11-23T01:39:57.4148154Z test_custom_rules_nn_functional_conv_transpose2d_cpu_complex128 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... expected failure (0.022s) 2022-11-23T01:39:57.4148916Z test_custom_rules_nn_functional_conv_transpose2d_cpu_complex64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... expected failure (0.022s) 2022-11-23T01:39:57.4149560Z test_custom_rules_nn_functional_conv_transpose2d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.009s) 2022-11-23T01:39:57.4150173Z test_custom_rules_nn_functional_conv_transpose2d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.009s) 2022-11-23T01:39:57.4150784Z test_custom_rules_nn_functional_conv_transpose2d_cpu_int64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.008s) 2022-11-23T01:39:57.4151377Z test_custom_rules_nn_functional_hardswish_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-11-23T01:39:57.4151960Z test_custom_rules_nn_functional_hardswish_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-11-23T01:39:57.4152556Z test_custom_rules_nn_functional_hardswish_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-11-23T01:39:57.4153248Z test_custom_rules_nn_functional_max_pool1d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-11-23T01:39:57.4153850Z test_custom_rules_nn_functional_max_pool1d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-11-23T01:39:57.4154425Z test_custom_rules_nn_functional_max_pool1d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.007s) 2022-11-23T01:39:57.4154988Z test_custom_rules_nn_functional_max_pool2d_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.009s) 2022-11-23T01:39:57.4155584Z test_custom_rules_nn_functional_max_pool2d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.009s) 2022-11-23T01:39:57.4156235Z test_custom_rules_nn_functional_max_pool2d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.009s) 2022-11-23T01:39:57.4156818Z test_custom_rules_nn_functional_max_pool3d_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.008s) 2022-11-23T01:39:57.4157422Z test_custom_rules_nn_functional_max_pool3d_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.008s) 2022-11-23T01:39:57.4157998Z test_custom_rules_nn_functional_prelu_cpu_bfloat16 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.006s) 2022-11-23T01:39:57.4158564Z test_custom_rules_nn_functional_prelu_cpu_float32 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.005s) 2022-11-23T01:39:57.4159157Z test_custom_rules_nn_functional_prelu_cpu_float64 (jit.test_dtype_analysis.TestDtypeCustomRulesCPU) ... ok (0.005s) 2022-11-23T01:39:57.4159663Z test_closed_over_enum_constant (jit.test_enum.TestEnum) ... ok (0.007s) 2022-11-23T01:39:57.4160058Z test_enum_as_const (jit.test_enum.TestEnum) ... ok (0.005s) 2022-11-23T01:39:57.4160437Z test_enum_as_module_attribute (jit.test_enum.TestEnum) ... ok (0.007s) 2022-11-23T01:39:57.4160818Z test_enum_comp (jit.test_enum.TestEnum) ... ok (0.005s) 2022-11-23T01:39:57.4161205Z test_enum_comp_diff_classes (jit.test_enum.TestEnum) ... ok (0.007s) 2022-11-23T01:39:57.4161589Z test_enum_explicit_script (jit.test_enum.TestEnum) ... ok (0.001s) 2022-11-23T01:39:57.4161959Z test_enum_iterate (jit.test_enum.TestEnum) ... ok (0.007s) 2022-11-23T01:39:57.4162308Z test_enum_ivalue_type (jit.test_enum.TestEnum) ... ok (0.005s) 2022-11-23T01:39:57.4162660Z test_enum_module_return (jit.test_enum.TestEnum) ... ok (0.006s) 2022-11-23T01:39:57.4163010Z test_enum_name (jit.test_enum.TestEnum) ... ok (0.005s) 2022-11-23T01:39:57.4163381Z test_enum_return (jit.test_enum.TestEnum) ... ok (0.006s) 2022-11-23T01:39:57.4163744Z test_enum_value (jit.test_enum.TestEnum) ... ok (0.005s) 2022-11-23T01:39:57.4164122Z test_enum_value_types (jit.test_enum.TestEnum) ... ok (0.018s) 2022-11-23T01:39:57.4164564Z test_heterogenous_value_type_enum_error (jit.test_enum.TestEnum) ... ok (0.003s) 2022-11-23T01:39:57.4165013Z test_non_existent_enum_value (jit.test_enum.TestEnum) ... ok (0.004s) 2022-11-23T01:39:57.4165429Z test_string_enum_as_module_attribute (jit.test_enum.TestEnum) ... ok (0.007s) 2022-11-23T01:39:57.4165908Z test_freeze_interface_swapping_two_methods (jit.test_freezing.TestFreezing) ... ok (0.036s) 2022-11-23T01:39:57.4166434Z test_freeze_interface_within_object (jit.test_freezing.TestFreezing) ... expected failure (0.005s) 2022-11-23T01:39:57.4166896Z test_freeze_module (jit.test_freezing.TestFreezing) ... ok (0.014s) 2022-11-23T01:39:57.4167309Z test_freeze_module_detach_gradient (jit.test_freezing.TestFreezing) ... ok (0.012s) 2022-11-23T01:39:57.4167771Z test_freeze_module_in_training_mode (jit.test_freezing.TestFreezing) ... ok (0.258s) 2022-11-23T01:39:57.4168208Z test_freeze_module_inlining (jit.test_freezing.TestFreezing) ... ok (0.009s) 2022-11-23T01:39:57.4168670Z test_freeze_module_no_forward (jit.test_freezing.TestFreezing) ... ok (0.011s) 2022-11-23T01:39:57.4169093Z test_freeze_module_return_self (jit.test_freezing.TestFreezing) ... ok (0.007s) 2022-11-23T01:39:57.4169550Z test_freeze_module_return_sub_module (jit.test_freezing.TestFreezing) ... ok (0.013s) 2022-11-23T01:39:57.4170089Z test_freeze_module_with_aliased_attr (jit.test_freezing.TestFreezing) ... ok (0.007s) 2022-11-23T01:39:57.4170562Z test_freeze_module_with_aliased_attr2 (jit.test_freezing.TestFreezing) ... ok (0.007s) 2022-11-23T01:39:57.4171031Z test_freeze_module_with_aliased_attr3 (jit.test_freezing.TestFreezing) ... ok (0.006s) 2022-11-23T01:39:57.4171517Z test_freeze_module_with_aliased_tensor_attr (jit.test_freezing.TestFreezing) ... ok (0.006s) 2022-11-23T01:39:57.4172008Z test_freeze_module_with_aliased_tensor_attr2 (jit.test_freezing.TestFreezing) ... ok (0.010s) 2022-11-23T01:39:57.4172481Z test_freeze_module_with_aliased_tensor_attr3 (jit.test_freezing.TestFreezing) ... ok (0.007s) 2022-11-23T01:39:57.4173025Z test_freeze_module_with_aliased_tensor_attr4 (jit.test_freezing.TestFreezing) ... ok (0.009s) 2022-11-23T01:39:57.4173509Z test_freeze_module_with_call_method (jit.test_freezing.TestFreezing) ... ok (0.007s) 2022-11-23T01:39:57.4173970Z test_freeze_module_with_fork (jit.test_freezing.TestFreezing) ... ok (0.012s) 2022-11-23T01:39:57.4174406Z test_freeze_module_with_fork2 (jit.test_freezing.TestFreezing) ... ok (0.010s) 2022-11-23T01:39:57.4174851Z test_freeze_module_with_fork_calling_module_method (jit.test_freezing.TestFreezing) ... ok (0.011s) 2022-11-23T01:39:57.4175313Z test_freeze_module_with_helperfunction (jit.test_freezing.TestFreezing) ... ok (0.011s) 2022-11-23T01:39:57.4175736Z test_freeze_module_with_inplace_mutable (jit.test_freezing.TestFreezing) ... ok (0.007s) 2022-11-23T01:39:57.4176229Z test_freeze_module_with_list (jit.test_freezing.TestFreezing) ... ok (0.007s) 2022-11-23T01:39:57.4176714Z test_freeze_module_with_mutable_dict (jit.test_freezing.TestFreezing) ... ok (0.007s) 2022-11-23T01:39:57.4177181Z test_freeze_module_with_mutable_list (jit.test_freezing.TestFreezing) ... ok (0.005s) 2022-11-23T01:39:57.4177669Z test_freeze_module_with_mutable_tensor (jit.test_freezing.TestFreezing) ... ok (0.005s) 2022-11-23T01:39:57.4178152Z test_freeze_module_with_nested_fork (jit.test_freezing.TestFreezing) ... ok (0.021s) 2022-11-23T01:39:57.4178642Z test_freeze_module_with_nestedaliasing (jit.test_freezing.TestFreezing) ... ok (0.023s) 2022-11-23T01:39:57.4179521Z test_freeze_module_with_nestedaliasingscalar (jit.test_freezing.TestFreezing) ... ok (0.020s) 2022-11-23T01:39:57.4179908Z test_freeze_module_with_non_static_module_container_index (jit.test_freezing.TestFreezing) 2022-11-23T01:39:57.4180369Z Test that Modules containing non-static ModuleDict or ModuleList ... ok (0.035s) 2022-11-23T01:39:57.4180699Z test_freeze_module_with_overlapping_attrs (jit.test_freezing.TestFreezing) ... ok (0.009s) 2022-11-23T01:39:57.4181056Z test_freeze_module_with_preserve_sub_module (jit.test_freezing.TestFreezing) ... ok (0.011s) 2022-11-23T01:39:57.4181420Z test_freeze_module_with_preserve_sub_module_and_mutation (jit.test_freezing.TestFreezing) ... ok (0.013s) 2022-11-23T01:39:57.4181788Z test_freeze_module_with_sharedclasstype (jit.test_freezing.TestFreezing) ... ok (0.024s) 2022-11-23T01:39:57.4182112Z test_freeze_module_with_submodule (jit.test_freezing.TestFreezing) ... ok (0.015s) 2022-11-23T01:39:57.4182432Z test_freeze_module_with_tensor (jit.test_freezing.TestFreezing) ... ok (0.007s) 2022-11-23T01:39:57.4182747Z test_freeze_module_with_tuple (jit.test_freezing.TestFreezing) ... ok (0.008s) 2022-11-23T01:39:57.4183087Z test_freeze_module_with_tupleoutput_submodule (jit.test_freezing.TestFreezing) ... ok (0.010s) 2022-11-23T01:39:57.4183424Z test_freeze_module_with_user_preserved_attr (jit.test_freezing.TestFreezing) ... ok (0.005s) 2022-11-23T01:39:57.4183793Z test_freeze_module_with_user_preserved_attribute_on_submodule (jit.test_freezing.TestFreezing) ... ok (0.011s) 2022-11-23T01:39:57.4184186Z test_freeze_module_with_user_preserved_attribute_on_unused_submodule (jit.test_freezing.TestFreezing) ... ok (0.009s) 2022-11-23T01:39:57.4184681Z test_freeze_module_with_user_preserved_method (jit.test_freezing.TestFreezing) ... ok (0.008s) 2022-11-23T01:39:57.4185043Z test_freeze_module_with_user_preserved_method2 (jit.test_freezing.TestFreezing) ... ok (0.007s) 2022-11-23T01:39:57.4185410Z test_freeze_module_with_user_preserved_method_on_submodule (jit.test_freezing.TestFreezing) ... ok (0.011s) 2022-11-23T01:39:57.4185747Z test_freeze_no_forward (jit.test_freezing.TestFreezing) ... ok (0.010s) 2022-11-23T01:39:57.4186051Z test_freeze_non_interface_module_swap (jit.test_freezing.TestFreezing) ... ok (0.015s) 2022-11-23T01:39:57.4186383Z test_freeze_non_module_class_getattr (jit.test_freezing.TestFreezing) ... ok (0.008s) 2022-11-23T01:39:57.4186763Z test_freeze_recursive_interfaces (jit.test_freezing.TestFreezing) ... ok (0.019s) 2022-11-23T01:39:57.4187100Z test_freeze_recursive_interfaces_same_name (jit.test_freezing.TestFreezing) ... ok (0.020s) 2022-11-23T01:39:57.4187445Z test_freeze_recursive_interfaces_with_reassignment (jit.test_freezing.TestFreezing) ... ok (0.026s) 2022-11-23T01:39:57.4187797Z test_freeze_with_interface_mutable (jit.test_freezing.TestFreezing) ... ok (0.012s) 2022-11-23T01:39:57.4188129Z test_freeze_with_swapping_interfaces (jit.test_freezing.TestFreezing) ... ok (0.020s) 2022-11-23T01:39:57.4188516Z test_module_getattr_indirection (jit.test_freezing.TestFreezing) ... ok (0.008s) 2022-11-23T01:39:57.4188847Z test_module_with_shared_type_instances (jit.test_freezing.TestFreezing) ... ok (0.083s) 2022-11-23T01:39:57.4189177Z test_dictionary_as_example_inputs_for_jit_trace (__main__.TestFrontend) ... ok (0.069s) 2022-11-23T01:39:57.4189470Z test_instancing_error (__main__.TestFrontend) ... ok (0.010s) 2022-11-23T01:39:57.4189791Z test_collapse_adjacent_conversions (jit.test_freezing.TestFrozenOptimizations) ... ok (0.015s) 2022-11-23T01:39:57.4190162Z test_conv_add_folding (jit.test_freezing.TestFrozenOptimizations) ... ok (1.402s) 2022-11-23T01:39:57.4190512Z test_conv_bn_folding (jit.test_freezing.TestFrozenOptimizations) ... ok (0.393s) 2022-11-23T01:39:57.4190924Z test_conv_bn_folding_autocast_scenario_cuda (jit.test_freezing.TestFrozenOptimizations) ... skip: Optimization currently only run for GPU (0.001s) 2022-11-23T01:39:57.4191352Z test_conv_bn_folding_not_forward (jit.test_freezing.TestFrozenOptimizations) ... ok (0.012s) 2022-11-23T01:39:57.4191712Z test_conv_hardswish (jit.test_freezing.TestFrozenOptimizations) ... ok (3.285s) 2022-11-23T01:39:57.4192055Z test_conv_mul_add_bn (jit.test_freezing.TestFrozenOptimizations) ... ok (0.082s) 2022-11-23T01:39:57.4192384Z test_conv_to_mkldnn (jit.test_freezing.TestFrozenOptimizations) ... ok (0.044s) 2022-11-23T01:39:57.4192756Z test_conv_to_mkldnn_no_mkldnn (jit.test_freezing.TestFrozenOptimizations) ... skip: Testing no mkldnn (0.001s) 2022-11-23T01:39:57.4193158Z test_freeze_conv_relu_fusion (jit.test_freezing.TestFrozenOptimizations) ... skip: requires CUDNN (0.002s) 2022-11-23T01:39:57.4193567Z test_freeze_conv_relu_fusion_not_forward (jit.test_freezing.TestFrozenOptimizations) ... skip: requires CUDNN (0.001s) 2022-11-23T01:39:57.4193931Z test_freeze_mkdlnn (jit.test_freezing.TestFrozenOptimizations) ... ok (0.007s) 2022-11-23T01:39:57.4194281Z test_freeze_remove_dropout (jit.test_freezing.TestFrozenOptimizations) ... ok (0.007s) 2022-11-23T01:39:57.4194648Z test_freeze_remove_feature_dropout (jit.test_freezing.TestFrozenOptimizations) ... ok (0.008s) 2022-11-23T01:39:57.4195004Z test_hardswish_hardsigmoid (jit.test_freezing.TestFrozenOptimizations) ... ok (0.010s) 2022-11-23T01:39:57.4195368Z test_incompatible_perf_formats (jit.test_freezing.TestFrozenOptimizations) ... ok (0.227s) 2022-11-23T01:39:57.4195770Z test_linear_concat (jit.test_freezing.TestFrozenOptimizations) ... skip: Optimization currently only run for GPU (0.001s) 2022-11-23T01:39:57.4196153Z test_linear_concat_complex (jit.test_freezing.TestFrozenOptimizations) 2022-11-23T01:39:57.4196519Z Testing that the interleaving of multiple optimizations does not ... skip: Optimization currently only run for GPU (0.001s) 2022-11-23T01:39:57.4196944Z test_linear_concat_different_input (jit.test_freezing.TestFrozenOptimizations) 2022-11-23T01:39:57.4197333Z There should be no change to the graph due to the optimization pass ... skip: Optimization currently only run for GPU (0.001s) 2022-11-23T01:39:57.4197764Z test_linear_multiple_blocks (jit.test_freezing.TestFrozenOptimizations) ... skip: Optimization currently only run for GPU (0.001s) 2022-11-23T01:39:57.4198164Z test_linear_non_constant_weight (jit.test_freezing.TestFrozenOptimizations) ... ok (0.005s) 2022-11-23T01:39:57.4198524Z test_linear_transpose (jit.test_freezing.TestFrozenOptimizations) ... ok (0.005s) 2022-11-23T01:39:57.4198908Z test_maxpool_mkldnn (jit.test_freezing.TestFrozenOptimizations) ... ok (0.256s) 2022-11-23T01:39:57.4199255Z test_mkldnn_fuser_broadcasting (jit.test_freezing.TestFrozenOptimizations) ... ok (0.025s) 2022-11-23T01:39:57.4199620Z test_mkldnn_inplace_removal (jit.test_freezing.TestFrozenOptimizations) ... ok (0.013s) 2022-11-23T01:39:57.4199991Z test_numel_less_than_size_with_padding (jit.test_freezing.TestFrozenOptimizations) ... ok (0.015s) 2022-11-23T01:39:57.4200361Z test_optimize_freeze_module (jit.test_freezing.TestFrozenOptimizations) ... ok (0.020s) 2022-11-23T01:39:57.4200702Z test_pool2d_batchnorm (jit.test_freezing.TestFrozenOptimizations) ... ok (0.514s) 2022-11-23T01:39:57.4201052Z test_pool3d_batchnorm (jit.test_freezing.TestFrozenOptimizations) ... ok (1.221s) 2022-11-23T01:39:57.4201398Z test_remove_detach (jit.test_freezing.TestFrozenOptimizations) ... ok (0.004s) 2022-11-23T01:39:57.4201742Z test_remove_detach_not_applied (jit.test_freezing.TestFrozenOptimizations) ... ok (0.003s) 2022-11-23T01:39:57.4202098Z test_scalar_mul (jit.test_freezing.TestFrozenOptimizations) ... ok (0.047s) 2022-11-23T01:39:57.4202440Z test_subgraph_creation (jit.test_functional_blocks.TestFunctionalBlocks) ... ok (0.053s) 2022-11-23T01:39:57.4202843Z test_check_no_type_promotion (jit.test_convert_activation.TestFunctionalToInplaceActivation) ... ok (0.238s) 2022-11-23T01:39:57.4203282Z test_functional_to_inplace_activation (jit.test_convert_activation.TestFunctionalToInplaceActivation) ... ok (0.058s) 2022-11-23T01:39:57.4203733Z test_no_functional_to_inplace (jit.test_convert_activation.TestFunctionalToInplaceActivation) ... ok (0.009s) 2022-11-23T01:39:57.4204171Z test_resnet18_correctness (jit.test_convert_activation.TestFunctionalToInplaceActivation) ... ok (5.059s) 2022-11-23T01:39:57.4204547Z test_getattr_with_default (jit.test_attr.TestGetDefaultAttr) ... ok (0.007s) 2022-11-23T01:39:57.4204873Z test_fuse_linear (jit.test_graph_rewrite_passes.TestGraphRewritePasses) ... ok (0.030s) 2022-11-23T01:39:57.4205176Z test_hash_bool (jit.test_hash.TestHash) ... ok (0.007s) 2022-11-23T01:39:57.4205437Z test_hash_device (jit.test_hash.TestHash) ... ok (0.007s) 2022-11-23T01:39:57.4205685Z test_hash_float (jit.test_hash.TestHash) ... ok (0.010s) 2022-11-23T01:39:57.4205938Z test_hash_int (jit.test_hash.TestHash) ... ok (0.008s) 2022-11-23T01:39:57.4206190Z test_hash_none (jit.test_hash.TestHash) ... ok (0.003s) 2022-11-23T01:39:57.4206433Z test_hash_string (jit.test_hash.TestHash) ... ok (0.006s) 2022-11-23T01:39:57.4206679Z test_hash_tensor (jit.test_hash.TestHash) 2022-11-23T01:39:57.4206917Z Tensors should hash by identity ... ok (0.006s) 2022-11-23T01:39:57.4207164Z test_hash_tuple (jit.test_hash.TestHash) ... ok (0.007s) 2022-11-23T01:39:57.4207434Z test_hash_tuple_nested_unhashable_type (jit.test_hash.TestHash) ... ok (0.003s) 2022-11-23T01:39:57.4207732Z test_forward_tuple_input (jit.test_hooks.TestHooks) ... ok (0.018s) 2022-11-23T01:39:57.4208024Z test_hook_compilation_hint (jit.test_hooks.TestHooks) ... ok (0.001s) 2022-11-23T01:39:57.4208306Z test_hook_hook_name_collision (jit.test_hooks.TestHooks) ... ok (0.009s) 2022-11-23T01:39:57.4208605Z test_hook_method_name_collision (jit.test_hooks.TestHooks) ... ok (0.008s) 2022-11-23T01:39:57.4208942Z test_module_direct_forward_invocation (jit.test_hooks.TestHooks) ... ok (0.014s) 2022-11-23T01:39:57.4209258Z test_module_forward_multiple_inputs (jit.test_hooks.TestHooks) ... ok (0.024s) 2022-11-23T01:39:57.4209551Z test_module_forward_single_input (jit.test_hooks.TestHooks) ... ok (0.021s) 2022-11-23T01:39:57.4209850Z test_module_hook_return_nothing (jit.test_hooks.TestHooks) ... ok (0.020s) 2022-11-23T01:39:57.4210159Z test_module_multiple_hooks_multiple_inputs (jit.test_hooks.TestHooks) ... ok (0.033s) 2022-11-23T01:39:57.4210467Z test_module_multiple_hooks_single_input (jit.test_hooks.TestHooks) ... ok (0.029s) 2022-11-23T01:39:57.4210770Z test_module_no_forward_input (jit.test_hooks.TestHooks) ... ok (0.016s) 2022-11-23T01:39:57.4211102Z test_module_same_hook_repeated (jit.test_hooks.TestHooks) ... ok (0.022s) 2022-11-23T01:39:57.4211413Z test_submodule_called_directly_with_hooks (jit.test_hooks.TestHooks) ... ok (0.015s) 2022-11-23T01:39:57.4211722Z test_submodule_direct_forward_invocation (jit.test_hooks.TestHooks) ... ok (0.021s) 2022-11-23T01:39:57.4212052Z test_submodule_forward_multiple_inputs (jit.test_hooks.TestHooks) ... ok (0.025s) 2022-11-23T01:39:57.4212367Z test_submodule_forward_single_input (jit.test_hooks.TestHooks) ... ok (0.022s) 2022-11-23T01:39:57.4212686Z test_submodule_forward_single_input_return_not_tupled (jit.test_hooks.TestHooks) ... ok (0.022s) 2022-11-23T01:39:57.4213014Z test_submodule_hook_return_nothing (jit.test_hooks.TestHooks) ... ok (0.021s) 2022-11-23T01:39:57.4213334Z test_submodule_multiple_hooks_multiple_inputs (jit.test_hooks.TestHooks) ... ok (0.036s) 2022-11-23T01:39:57.4213663Z test_submodule_multiple_hooks_single_input (jit.test_hooks.TestHooks) ... ok (0.031s) 2022-11-23T01:39:57.4213969Z test_submodule_no_forward_input (jit.test_hooks.TestHooks) ... ok (0.017s) 2022-11-23T01:39:57.4214270Z test_submodule_same_hook_repeated (jit.test_hooks.TestHooks) ... ok (0.024s) 2022-11-23T01:39:57.4214566Z test_wrong_hook_signatures (jit.test_hooks.TestHooks) ... ok (0.038s) 2022-11-23T01:39:57.4214850Z test_wrong_pre_hook_signatures (jit.test_hooks.TestHooks) ... ok (0.046s) 2022-11-23T01:39:57.4215170Z test_add_out_ignorable_args (jit.test_ignorable_args.TestIgnorableArgs) ... ok (0.003s) 2022-11-23T01:39:57.4215516Z test_slice_ignorable_args_for_slice (jit.test_ignorable_args.TestIgnorableArgs) ... ok (0.004s) 2022-11-23T01:39:57.4215908Z test_with_ignore_context_manager_with_inp_out (jit.test_ignore_context_manager.TestIgnoreContextManager) ... ok (0.014s) 2022-11-23T01:39:57.4216324Z test_with_ignore_context_manager_with_just_inp (jit.test_ignore_context_manager.TestIgnoreContextManager) ... ok (0.005s) 2022-11-23T01:39:57.4216749Z test_with_ignore_context_manager_with_just_out (jit.test_ignore_context_manager.TestIgnoreContextManager) ... ok (0.005s) 2022-11-23T01:39:57.4217187Z test_inplace_to_functional_activation (jit.test_convert_activation.TestInplaceToFunctionalActivation) ... ok (0.044s) 2022-11-23T01:39:57.4217639Z test_resnet18_correctness (jit.test_convert_activation.TestInplaceToFunctionalActivation) ... ok (4.214s) 2022-11-23T01:39:57.4217988Z test_bool (jit.test_isinstance.TestIsinstance) ... ok (0.007s) 2022-11-23T01:39:57.4218279Z test_dict (jit.test_isinstance.TestIsinstance) ... ok (0.007s) 2022-11-23T01:39:57.4218580Z test_dict_nested (jit.test_isinstance.TestIsinstance) ... ok (0.006s) 2022-11-23T01:39:57.4219090Z test_dict_no_contained_type (jit.test_isinstance.TestIsinstance) ... ok (0.002s) 2022-11-23T01:39:57.4219418Z test_dict_tensor (jit.test_isinstance.TestIsinstance) ... ok (0.005s) 2022-11-23T01:39:57.4219744Z test_empty_container_special_cases (jit.test_isinstance.TestIsinstance) ... ok (0.001s) 2022-11-23T01:39:57.4220106Z test_empty_container_throws_warning_in_eager (jit.test_isinstance.TestIsinstance) ... ok (0.001s) 2022-11-23T01:39:57.4220422Z test_float (jit.test_isinstance.TestIsinstance) ... ok (0.005s) 2022-11-23T01:39:57.4220720Z test_if_else (jit.test_isinstance.TestIsinstance) ... ok (0.005s) 2022-11-23T01:39:57.4221070Z test_in_if (jit.test_isinstance.TestIsinstance) ... ok (0.006s) 2022-11-23T01:39:57.4221358Z test_in_while_loop (jit.test_isinstance.TestIsinstance) ... ok (0.008s) 2022-11-23T01:39:57.4221656Z test_int (jit.test_isinstance.TestIsinstance) ... ok (0.005s) 2022-11-23T01:39:57.4221943Z test_list (jit.test_isinstance.TestIsinstance) ... ok (0.006s) 2022-11-23T01:39:57.4222227Z test_list_nested (jit.test_isinstance.TestIsinstance) ... ok (0.006s) 2022-11-23T01:39:57.4222544Z test_list_no_contained_type (jit.test_isinstance.TestIsinstance) ... ok (0.002s) 2022-11-23T01:39:57.4222862Z test_list_tensor (jit.test_isinstance.TestIsinstance) ... ok (0.005s) 2022-11-23T01:39:57.4223222Z test_list_tensor_type_true (jit.test_isinstance.TestIsinstance) ... ok (0.005s) 2022-11-23T01:39:57.4223552Z test_nontuple_container_rhs_throws_in_eager (jit.test_isinstance.TestIsinstance) ... ok (0.001s) 2022-11-23T01:39:57.4223884Z test_optional (jit.test_isinstance.TestIsinstance) ... ok (0.007s) 2022-11-23T01:39:57.4224196Z test_optional_nested (jit.test_isinstance.TestIsinstance) ... ok (0.005s) 2022-11-23T01:39:57.4224512Z test_optional_no_contained_type (jit.test_isinstance.TestIsinstance) ... ok (0.002s) 2022-11-23T01:39:57.4224832Z test_optional_none (jit.test_isinstance.TestIsinstance) ... ok (0.004s) 2022-11-23T01:39:57.4225142Z test_tensor_type_false (jit.test_isinstance.TestIsinstance) ... ok (0.005s) 2022-11-23T01:39:57.4225443Z test_tuple (jit.test_isinstance.TestIsinstance) ... ok (0.006s) 2022-11-23T01:39:57.4225730Z test_tuple_nested (jit.test_isinstance.TestIsinstance) ... ok (0.008s) 2022-11-23T01:39:57.4226054Z test_tuple_no_contained_type (jit.test_isinstance.TestIsinstance) ... ok (0.002s) 2022-11-23T01:39:57.4226369Z test_tuple_rhs (jit.test_isinstance.TestIsinstance) ... ok (0.008s) 2022-11-23T01:39:57.4226655Z test_tuple_tensor (jit.test_isinstance.TestIsinstance) ... ok (0.005s) 2022-11-23T01:39:57.4226963Z test_type_refinement (jit.test_isinstance.TestIsinstance) ... ok (0.017s) 2022-11-23T01:39:57.4227240Z test_ModuleList (__main__.TestJit) ... ok (0.058s) 2022-11-23T01:39:57.4227478Z test_Sequential (__main__.TestJit) ... ok (0.025s) 2022-11-23T01:39:57.4227699Z test_T_mT_H_mH (__main__.TestJit) ... ok (0.022s) 2022-11-23T01:39:57.4227942Z test_add_relu_fusion (__main__.TestJit) ... ok (0.028s) 2022-11-23T01:39:57.4228249Z test_arg_configurations (__main__.TestJit) 2022-11-23T01:39:57.4228571Z Different arg configurations should trigger different traces ... skip: Need to be adjusted to Graph Executor (0.002s) 2022-11-23T01:39:57.4228880Z test_attrs (__main__.TestJit) ... ok (0.005s) 2022-11-23T01:39:57.4229113Z test_batchnorm (__main__.TestJit) ... ok (0.003s) 2022-11-23T01:39:57.4229359Z test_big (__main__.TestJit) ... skip: Requires a lot of RAM (0.001s) 2022-11-23T01:39:57.4229620Z test_conj_transpose (__main__.TestJit) ... ok (0.004s) 2022-11-23T01:39:57.4229873Z test_constant_insertion (__main__.TestJit) ... ok (4.587s) 2022-11-23T01:39:57.4230142Z test_constant_prop_aliasing_type (__main__.TestJit) ... ok (0.006s) 2022-11-23T01:39:57.4230407Z test_constant_prop_exception (__main__.TestJit) ... ok (0.005s) 2022-11-23T01:39:57.4230679Z test_constant_prop_if_constant (__main__.TestJit) ... ok (0.006s) 2022-11-23T01:39:57.4230946Z test_constant_prop_if_inline (__main__.TestJit) ... ok (0.003s) 2022-11-23T01:39:57.4231208Z test_constant_prop_loop_constant (__main__.TestJit) ... ok (0.005s) 2022-11-23T01:39:57.4231476Z test_constant_prop_nested (__main__.TestJit) ... ok (0.005s) 2022-11-23T01:39:57.4231734Z test_constant_prop_none (__main__.TestJit) ... ok (0.006s) 2022-11-23T01:39:57.4231981Z test_constant_prop_print (__main__.TestJit) ... ok (0.003s) 2022-11-23T01:39:57.4232238Z test_constant_prop_rand (__main__.TestJit) ... ok (0.003s) 2022-11-23T01:39:57.4232503Z test_constant_prop_remove_output (__main__.TestJit) ... ok (0.004s) 2022-11-23T01:39:57.4232770Z test_constant_prop_simple (__main__.TestJit) ... ok (0.004s) 2022-11-23T01:39:57.4233045Z test_constants_pkl (__main__.TestJit) ... ok (0.003s) 2022-11-23T01:39:57.4233285Z test_cpp (__main__.TestJit) ... ok (0.024s) 2022-11-23T01:39:57.4233506Z test_cse (__main__.TestJit) ... ok (0.007s) 2022-11-23T01:39:57.4233745Z test_cse_not_introduce_aliasing (__main__.TestJit) ... ok (0.006s) 2022-11-23T01:39:57.4234009Z test_cu_escaped_number (__main__.TestJit) ... ok (0.003s) 2022-11-23T01:39:57.4234286Z test_cuda_export_restore (__main__.TestJit) ... skip: requires CUDA (0.001s) 2022-11-23T01:39:57.4234566Z test_debug_flush_compilation_cache (__main__.TestJit) ... ok (0.014s) 2022-11-23T01:39:57.4234867Z test_decompose_addmm (__main__.TestJit) ... ok (0.037s) 2022-11-23T01:39:57.4235135Z test_device_not_equal (__main__.TestJit) ... skip: requires CUDA (0.001s) 2022-11-23T01:39:57.4235422Z test_diff_subgraph_clones_constants (__main__.TestJit) ... ok (0.004s) 2022-11-23T01:39:57.4235673Z test_disabled (__main__.TestJit) ... ok (0.001s) 2022-11-23T01:39:57.4235910Z test_dropout (__main__.TestJit) ... ok (0.002s) 2022-11-23T01:39:57.4236192Z test_dropout_cuda (__main__.TestJit) ... skip: test_dropout_cuda require CUDA (0.001s) 2022-11-23T01:39:57.4236730Z test_dropout_func_requires_grad (__main__.TestJit) ... STAGE:2022-11-23 01:38:40 3968:3968 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:39:57.4237227Z STAGE:2022-11-23 01:38:40 3968:3968 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:39:57.4237684Z STAGE:2022-11-23 01:38:40 3968:3968 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:39:57.4238128Z STAGE:2022-11-23 01:38:40 3968:3968 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:39:57.4238547Z STAGE:2022-11-23 01:38:40 3968:3968 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:39:57.4238990Z STAGE:2022-11-23 01:38:40 3968:3968 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:39:57.4239426Z STAGE:2022-11-23 01:38:40 3968:3968 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:39:57.4239859Z STAGE:2022-11-23 01:38:40 3968:3968 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:39:57.4240289Z STAGE:2022-11-23 01:38:40 3968:3968 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:39:57.4240724Z STAGE:2022-11-23 01:38:40 3968:3968 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:39:57.4241151Z STAGE:2022-11-23 01:38:40 3968:3968 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:39:57.4241583Z STAGE:2022-11-23 01:38:40 3968:3968 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:39:57.4241842Z ok (0.076s) 2022-11-23T01:39:57.4242111Z test_dropout_module_requires_grad (__main__.TestJit) ... skip: Testing differentiable graph (0.002s) 2022-11-23T01:39:57.4242402Z test_einsum (__main__.TestJit) ... ok (0.027s) 2022-11-23T01:39:57.4242631Z test_element_size (__main__.TestJit) ... ok (0.003s) 2022-11-23T01:39:57.4242893Z test_expand_fold_quant_inputs (__main__.TestJit) ... ok (0.001s) 2022-11-23T01:39:57.4243158Z test_expand_quantlint (__main__.TestJit) ... ok (0.001s) 2022-11-23T01:39:57.4243469Z test_export_batchnorm (__main__.TestJit) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:57.4243782Z test_export_dropout (__main__.TestJit) ... ok (0.006s) 2022-11-23T01:39:57.4244029Z test_export_lstm (__main__.TestJit) ... ok (0.042s) 2022-11-23T01:39:57.4244262Z test_export_opnames (__main__.TestJit) ... ok (0.013s) 2022-11-23T01:39:57.4244507Z test_export_rnn (__main__.TestJit) ... ok (0.073s) 2022-11-23T01:39:57.4244802Z test_flags (__main__.TestJit) ... skip: Need to instrument GraphExecutors a bit more (0.002s) 2022-11-23T01:39:57.4245104Z test_function_default_values (__main__.TestJit) ... ok (0.038s) 2022-11-23T01:39:57.4245405Z test_hide_source_ranges_context_manager (__main__.TestJit) ... ok (0.003s) 2022-11-23T01:39:57.4245676Z test_import_method (__main__.TestJit) ... ok (0.005s) 2022-11-23T01:39:57.4245932Z test_inferred_as_tensor (__main__.TestJit) ... ok (0.002s) 2022-11-23T01:39:57.4246159Z test_layout (__main__.TestJit) ... ok (0.003s) 2022-11-23T01:39:57.4246405Z test_matrix_conj_transpose (__main__.TestJit) ... ok (0.004s) 2022-11-23T01:39:57.4246667Z test_matrix_transpose (__main__.TestJit) ... ok (0.003s) 2022-11-23T01:39:57.4246912Z test_module_default_values (__main__.TestJit) ... ok (0.005s) 2022-11-23T01:39:57.4247181Z test_mutable_default_values (__main__.TestJit) ... ok (0.005s) 2022-11-23T01:39:57.4247509Z test_native_dropout_corner_case (__main__.TestJit) ... skip: test requires CUDA (0.001s) 2022-11-23T01:39:57.4247783Z test_nn_conv (__main__.TestJit) ... ok (0.253s) 2022-11-23T01:39:57.4248009Z test_nn_lp_pool1d (__main__.TestJit) ... ok (0.108s) 2022-11-23T01:39:57.4248252Z test_nn_lp_pool2d (__main__.TestJit) ... ok (0.148s) 2022-11-23T01:39:57.4248493Z test_nn_padding (__main__.TestJit) ... ok (0.244s) 2022-11-23T01:39:57.4248736Z test_nn_padding_functional (__main__.TestJit) ... ok (0.023s) 2022-11-23T01:39:57.4249002Z test_no_erroneous_warnings (__main__.TestJit) ... ok (0.004s) 2022-11-23T01:39:57.4249328Z test_non_ascii_string (__main__.TestJit) ... skip: temporarily disable the test for fwd compatibility (0.001s) 2022-11-23T01:39:57.4249624Z test_numel (__main__.TestJit) ... ok (0.003s) 2022-11-23T01:39:57.4249866Z test_pattern_based_module_rewrite (__main__.TestJit) ... ok (0.028s) 2022-11-23T01:39:57.4250142Z test_pattern_based_rewrite (__main__.TestJit) ... ok (0.002s) 2022-11-23T01:39:57.4250440Z test_pattern_based_rewrite_with_source_range_preserved (__main__.TestJit) ... ok (0.019s) 2022-11-23T01:39:57.4250887Z test_peephole_optimize_shape_ops (__main__.TestJit) ... skip: Simple executor doesn't have shape information (0.003s) 2022-11-23T01:39:57.4251221Z test_permute_inputs_binding (__main__.TestJit) ... ok (0.003s) 2022-11-23T01:39:57.4251481Z test_pretty_printer (__main__.TestJit) ... ok (0.029s) 2022-11-23T01:39:57.4251723Z test_print_classes_module (__main__.TestJit) ... ok (0.001s) 2022-11-23T01:39:57.4251976Z test_print_op_module (__main__.TestJit) ... ok (0.001s) 2022-11-23T01:39:57.4252234Z test_print_torch_ops_modules (__main__.TestJit) ... ok (0.001s) 2022-11-23T01:39:57.4253024Z test_profiler (__main__.TestJit) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/65521 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.002s) 2022-11-23T01:39:57.4253545Z test_python_bindings (__main__.TestJit) ... ok (0.221s) 2022-11-23T01:39:57.4253787Z test_python_ir (__main__.TestJit) ... ok (0.004s) 2022-11-23T01:39:57.4254029Z test_python_ir_utils (__main__.TestJit) ... ok (0.004s) 2022-11-23T01:39:57.4254824Z test_python_ir_utils_graph (__main__.TestJit) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/73473 for platform(s) macos, linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:39:57.4255348Z test_python_ivalue (__main__.TestJit) ... ok (0.002s) 2022-11-23T01:39:57.4255602Z test_pytorch_jit_env_off (__main__.TestJit) ... ok (1.278s) 2022-11-23T01:39:57.4255850Z test_recursive_cse (__main__.TestJit) ... ok (0.002s) 2022-11-23T01:39:57.4256112Z test_repeat_interleave_script (__main__.TestJit) ... ok (0.006s) 2022-11-23T01:39:57.4256364Z test_restore_device (__main__.TestJit) ... ok (0.006s) 2022-11-23T01:39:57.4256656Z test_restore_device_cuda (__main__.TestJit) ... skip: restore device requires CUDA (0.002s) 2022-11-23T01:39:57.4257036Z test_restore_shared_storage_on_cuda (__main__.TestJit) ... skip: restore device requires CUDA (0.001s) 2022-11-23T01:39:57.4257331Z test_script_autograd_grad (__main__.TestJit) ... ok (0.371s) 2022-11-23T01:39:57.4257588Z test_script_backward (__main__.TestJit) ... ok (0.012s) 2022-11-23T01:39:57.4258174Z test_script_backward_twice (__main__.TestJit) ... /opt/conda/lib/python3.7/site-packages/torch/jit/_script.py:1244: UserWarning: `optimize` is deprecated and has no effect. Use `with torch.jit.optimized_execution() instead 2022-11-23T01:39:57.4258648Z "`optimize` is deprecated and has no effect. Use `with torch.jit.optimized_execution() instead" 2022-11-23T01:39:57.4259140Z ok (0.015s) 2022-11-23T01:39:57.4259350Z test_script_fn_pkl (__main__.TestJit) ... ok (0.003s) 2022-11-23T01:39:57.4259603Z test_script_tensor_type (__main__.TestJit) ... ok (0.004s) 2022-11-23T01:39:57.4259856Z test_shape_analysis_broadcast (__main__.TestJit) ... ok (0.003s) 2022-11-23T01:39:57.4260137Z test_shape_analysis_masked_select (__main__.TestJit) ... ok (0.001s) 2022-11-23T01:39:57.4260422Z test_shape_analysis_unsqueeze_in_loop (__main__.TestJit) ... ok (0.001s) 2022-11-23T01:39:57.4260694Z test_sparse_csr_tensors (__main__.TestJit) ... ok (0.003s) 2022-11-23T01:39:57.4260932Z test_sparse_tensors (__main__.TestJit) ... ok (0.033s) 2022-11-23T01:39:57.4262038Z test_torch_complex (__main__.TestJit) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:470: UserWarning: An output with one or more elements was resized since it had shape [3, 4], which does not match the required output shape [2]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:39:57.4262745Z return callable(*args, **kwargs) 2022-11-23T01:39:57.4263780Z /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:470: UserWarning: An output with one or more elements was resized since it had shape [5, 2], which does not match the required output shape [2]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:39:57.4264436Z return callable(*args, **kwargs) 2022-11-23T01:39:57.4264622Z ok (0.029s) 2022-11-23T01:39:57.4265010Z test_torch_load_error (__main__.TestJit) ... skip: TODO: re-enable with https://github.com/pytorch/pytorch/pull/29339 (0.001s) 2022-11-23T01:39:57.4265358Z test_torch_load_zipfile_check (__main__.TestJit) ... ok (0.003s) 2022-11-23T01:39:57.4265625Z test_torch_ops_kwonly (__main__.TestJit) ... ok (0.003s) 2022-11-23T01:39:57.4265888Z test_torch_ops_overloaded (__main__.TestJit) ... ok (0.002s) 2022-11-23T01:39:57.4266124Z test_torch_sum (__main__.TestJit) ... ok (0.010s) 2022-11-23T01:39:57.4266372Z test_trace_retains_train (__main__.TestJit) ... ok (0.006s) 2022-11-23T01:39:57.4266616Z test_train_eval (__main__.TestJit) ... ok (0.043s) 2022-11-23T01:39:57.4266837Z test_transpose (__main__.TestJit) ... ok (0.003s) 2022-11-23T01:39:57.4267082Z test_unchecked_cast (__main__.TestJit) ... ok (0.011s) 2022-11-23T01:39:57.4267332Z test_unique_state_dict (__main__.TestJit) ... ok (0.001s) 2022-11-23T01:39:57.4267628Z test_verify (__main__.TestJit) ... skip: verify needs to be updated to work with GraphExecutors (0.001s) 2022-11-23T01:39:57.4267922Z test_warnings (__main__.TestJit) ... ok (0.009s) 2022-11-23T01:39:57.4268290Z test_nn_AdaptiveAvgPool1d (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-11-23T01:39:57.4268642Z test_nn_AdaptiveAvgPool1d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-11-23T01:39:57.4269048Z test_nn_AdaptiveAvgPool1d_one_output (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-11-23T01:39:57.4269402Z test_nn_AdaptiveAvgPool2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.043s) 2022-11-23T01:39:57.4269747Z test_nn_AdaptiveAvgPool2d_single (__main__.TestJitGeneratedModule) ... ok (0.170s) 2022-11-23T01:39:57.4270086Z test_nn_AdaptiveAvgPool2d_single_1x1output (__main__.TestJitGeneratedModule) ... ok (0.043s) 2022-11-23T01:39:57.4270428Z test_nn_AdaptiveAvgPool2d_tuple (__main__.TestJitGeneratedModule) ... ok (0.044s) 2022-11-23T01:39:57.4270765Z test_nn_AdaptiveAvgPool2d_tuple_none (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4271149Z test_nn_AdaptiveAvgPool3d_last_dim (__main__.TestJitGeneratedModule) ... ok (0.044s) 2022-11-23T01:39:57.4271482Z test_nn_AdaptiveAvgPool3d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.044s) 2022-11-23T01:39:57.4271821Z test_nn_AdaptiveAvgPool3d_single (__main__.TestJitGeneratedModule) ... ok (0.046s) 2022-11-23T01:39:57.4272158Z test_nn_AdaptiveAvgPool3d_tuple (__main__.TestJitGeneratedModule) ... ok (0.046s) 2022-11-23T01:39:57.4272483Z test_nn_AdaptiveAvgPool3d_tuple_none (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4272814Z test_nn_AdaptiveMaxPool1d (__main__.TestJitGeneratedModule) ... ok (0.051s) 2022-11-23T01:39:57.4273148Z test_nn_AdaptiveMaxPool1d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.044s) 2022-11-23T01:39:57.4273490Z test_nn_AdaptiveMaxPool2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.056s) 2022-11-23T01:39:57.4273812Z test_nn_AdaptiveMaxPool2d_single (__main__.TestJitGeneratedModule) ... ok (0.050s) 2022-11-23T01:39:57.4274152Z test_nn_AdaptiveMaxPool2d_tuple (__main__.TestJitGeneratedModule) ... ok (0.050s) 2022-11-23T01:39:57.4274491Z test_nn_AdaptiveMaxPool2d_tuple_none (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4274822Z test_nn_AdaptiveMaxPool3d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.057s) 2022-11-23T01:39:57.4275159Z test_nn_AdaptiveMaxPool3d_single (__main__.TestJitGeneratedModule) ... ok (0.050s) 2022-11-23T01:39:57.4275503Z test_nn_AdaptiveMaxPool3d_single_nonatomic (__main__.TestJitGeneratedModule) ... ok (0.050s) 2022-11-23T01:39:57.4275843Z test_nn_AdaptiveMaxPool3d_tuple (__main__.TestJitGeneratedModule) ... ok (0.051s) 2022-11-23T01:39:57.4276172Z test_nn_AdaptiveMaxPool3d_tuple_nonatomic (__main__.TestJitGeneratedModule) ... ok (0.050s) 2022-11-23T01:39:57.4276520Z test_nn_AdaptiveMaxPool3d_tuple_none (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4276857Z test_nn_AvgPool1d (__main__.TestJitGeneratedModule) ... ok (0.041s) 2022-11-23T01:39:57.4277261Z test_nn_AvgPool1d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.042s) 2022-11-23T01:39:57.4277580Z test_nn_AvgPool1d_stride (__main__.TestJitGeneratedModule) ... ok (0.043s) 2022-11-23T01:39:57.4277899Z test_nn_AvgPool1d_stride_pad (__main__.TestJitGeneratedModule) ... ok (0.040s) 2022-11-23T01:39:57.4278210Z test_nn_AvgPool2d (__main__.TestJitGeneratedModule) ... ok (0.041s) 2022-11-23T01:39:57.4278499Z test_nn_AvgPool2d_divisor (__main__.TestJitGeneratedModule) ... ok (0.042s) 2022-11-23T01:39:57.4278820Z test_nn_AvgPool2d_divisor_stride (__main__.TestJitGeneratedModule) ... ok (0.042s) 2022-11-23T01:39:57.4279150Z test_nn_AvgPool2d_divisor_stride_pad (__main__.TestJitGeneratedModule) ... ok (0.042s) 2022-11-23T01:39:57.4279461Z test_nn_AvgPool2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.042s) 2022-11-23T01:39:57.4279776Z test_nn_AvgPool2d_stride (__main__.TestJitGeneratedModule) ... ok (0.043s) 2022-11-23T01:39:57.4280095Z test_nn_AvgPool2d_stride_pad (__main__.TestJitGeneratedModule) ... ok (0.043s) 2022-11-23T01:39:57.4280400Z test_nn_AvgPool3d (__main__.TestJitGeneratedModule) ... ok (0.042s) 2022-11-23T01:39:57.4280688Z test_nn_AvgPool3d_divisor (__main__.TestJitGeneratedModule) ... ok (0.042s) 2022-11-23T01:39:57.4281082Z test_nn_AvgPool3d_divisor_stride (__main__.TestJitGeneratedModule) ... ok (0.042s) 2022-11-23T01:39:57.4281431Z test_nn_AvgPool3d_divisor_stride1_pad0_gpu_input (__main__.TestJitGeneratedModule) ... ok (0.042s) 2022-11-23T01:39:57.4281874Z test_nn_AvgPool3d_divisor_stride_pad (__main__.TestJitGeneratedModule) ... ok (0.043s) 2022-11-23T01:39:57.4282234Z test_nn_AvgPool3d_divisor_stride_pad_gpu_fixedkw_output (__main__.TestJitGeneratedModule) ... ok (0.043s) 2022-11-23T01:39:57.4282609Z test_nn_AvgPool3d_divisor_stride_pad_gpu_general_output (__main__.TestJitGeneratedModule) ... ok (0.044s) 2022-11-23T01:39:57.4282985Z test_nn_AvgPool3d_divisor_stride_pad_gpu_input_nooverlap (__main__.TestJitGeneratedModule) ... ok (0.043s) 2022-11-23T01:39:57.4283360Z test_nn_AvgPool3d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.044s) 2022-11-23T01:39:57.4283676Z test_nn_AvgPool3d_stride (__main__.TestJitGeneratedModule) ... ok (0.042s) 2022-11-23T01:39:57.4284006Z test_nn_AvgPool3d_stride1_pad0_gpu_input (__main__.TestJitGeneratedModule) ... ok (0.041s) 2022-11-23T01:39:57.4284339Z test_nn_AvgPool3d_stride_pad (__main__.TestJitGeneratedModule) ... ok (0.042s) 2022-11-23T01:39:57.4284666Z test_nn_AvgPool3d_stride_pad_gpu_fixedkw_output (__main__.TestJitGeneratedModule) ... ok (0.041s) 2022-11-23T01:39:57.4285031Z test_nn_AvgPool3d_stride_pad_gpu_general_output (__main__.TestJitGeneratedModule) ... ok (0.043s) 2022-11-23T01:39:57.4285395Z test_nn_AvgPool3d_stride_pad_gpu_input_nooverlap (__main__.TestJitGeneratedModule) ... ok (0.042s) 2022-11-23T01:39:57.4285706Z test_nn_BCELoss (__main__.TestJitGeneratedModule) ... ok (0.061s) 2022-11-23T01:39:57.4286018Z test_nn_BCELoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-11-23T01:39:57.4286340Z test_nn_BCELoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-11-23T01:39:57.4286656Z test_nn_BCELoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-11-23T01:39:57.4286963Z test_nn_BCELoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4287280Z test_nn_BCELoss_no_reduce_scalar (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4287667Z test_nn_BCELoss_scalar_weights (__main__.TestJitGeneratedModule) ... ok (0.033s) 2022-11-23T01:39:57.4288066Z test_nn_BCELoss_weights (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-11-23T01:39:57.4288387Z test_nn_BCELoss_weights_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4288726Z test_nn_BCELoss_weights_no_reduce_scalar (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4289061Z test_nn_BCEWithLogitsLoss (__main__.TestJitGeneratedModule) ... ok (0.042s) 2022-11-23T01:39:57.4289383Z test_nn_BCEWithLogitsLoss_legacy_enum (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4289734Z test_nn_BCEWithLogitsLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-11-23T01:39:57.4290086Z test_nn_BCEWithLogitsLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.033s) 2022-11-23T01:39:57.4290423Z test_nn_BCEWithLogitsLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.033s) 2022-11-23T01:39:57.4290766Z test_nn_BCEWithLogitsLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4291112Z test_nn_BCEWithLogitsLoss_no_reduce_scalar (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4291461Z test_nn_BCEWithLogitsLoss_scalar_weights (__main__.TestJitGeneratedModule) ... ok (0.033s) 2022-11-23T01:39:57.4291792Z test_nn_BCEWithLogitsLoss_weights (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-11-23T01:39:57.4292122Z test_nn_BatchNorm1d_3d_input (__main__.TestJitGeneratedModule) ... ok (0.089s) 2022-11-23T01:39:57.4292450Z test_nn_BatchNorm1d_3d_input_not_affine (__main__.TestJitGeneratedModule) ... ok (0.087s) 2022-11-23T01:39:57.4292775Z test_nn_BatchNorm1d_affine (__main__.TestJitGeneratedModule) ... ok (0.094s) 2022-11-23T01:39:57.4293134Z test_nn_BatchNorm1d_affine_simple_average (__main__.TestJitGeneratedModule) ... ok (0.093s) 2022-11-23T01:39:57.4293473Z test_nn_BatchNorm1d_not_affine (__main__.TestJitGeneratedModule) ... ok (0.088s) 2022-11-23T01:39:57.4293802Z test_nn_BatchNorm1d_not_tracking_stats (__main__.TestJitGeneratedModule) ... ok (0.085s) 2022-11-23T01:39:57.4294118Z test_nn_BatchNorm1d_zero_batch (__main__.TestJitGeneratedModule) ... ok (0.084s) 2022-11-23T01:39:57.4294428Z test_nn_BatchNorm2d (__main__.TestJitGeneratedModule) ... ok (0.090s) 2022-11-23T01:39:57.4294752Z test_nn_BatchNorm2d_2d_simple_average (__main__.TestJitGeneratedModule) ... ok (0.091s) 2022-11-23T01:39:57.4295113Z test_nn_BatchNorm2d_momentum (__main__.TestJitGeneratedModule) ... ok (0.088s) 2022-11-23T01:39:57.4295422Z test_nn_BatchNorm2d_not_affine (__main__.TestJitGeneratedModule) ... ok (0.086s) 2022-11-23T01:39:57.4295755Z test_nn_BatchNorm2d_not_tracking_stats (__main__.TestJitGeneratedModule) ... ok (0.085s) 2022-11-23T01:39:57.4296085Z test_nn_BatchNorm2d_zero_batch (__main__.TestJitGeneratedModule) ... ok (0.084s) 2022-11-23T01:39:57.4296383Z test_nn_BatchNorm3d (__main__.TestJitGeneratedModule) ... ok (0.089s) 2022-11-23T01:39:57.4296703Z test_nn_BatchNorm3d_3d_simple_average (__main__.TestJitGeneratedModule) ... ok (0.091s) 2022-11-23T01:39:57.4297029Z test_nn_BatchNorm3d_momentum (__main__.TestJitGeneratedModule) ... ok (0.087s) 2022-11-23T01:39:57.4297349Z test_nn_BatchNorm3d_not_affine (__main__.TestJitGeneratedModule) ... ok (0.086s) 2022-11-23T01:39:57.4297664Z test_nn_BatchNorm3d_not_tracking_stats (__main__.TestJitGeneratedModule) ... ok (0.084s) 2022-11-23T01:39:57.4297995Z test_nn_BatchNorm3d_zero_batch (__main__.TestJitGeneratedModule) ... ok (0.084s) 2022-11-23T01:39:57.4298306Z test_nn_Bilinear (__main__.TestJitGeneratedModule) ... ok (0.051s) 2022-11-23T01:39:57.4298584Z test_nn_CELU (__main__.TestJitGeneratedModule) ... ok (0.040s) 2022-11-23T01:39:57.4298994Z test_nn_CELU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.039s) 2022-11-23T01:39:57.4299299Z test_nn_CELU_scalar (__main__.TestJitGeneratedModule) ... ok (0.039s) 2022-11-23T01:39:57.4299660Z test_nn_CTCLoss_2d_int_target_lengths_intlists (__main__.TestJitGeneratedModule) ... skip: module test skipped on JIT (0.003s) 2022-11-23T01:39:57.4300029Z test_nn_CTCLoss_2d_int_target_lengths_tensors (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:39:57.4300370Z test_nn_CTCLoss_2d_lengths_tensors (__main__.TestJitGeneratedModule) ... ok (0.024s) 2022-11-23T01:39:57.4300731Z test_nn_CTCLoss_lengths_intlists (__main__.TestJitGeneratedModule) ... skip: module test skipped on JIT (0.003s) 2022-11-23T01:39:57.4301071Z test_nn_CTCLoss_lengths_tensors (__main__.TestJitGeneratedModule) ... ok (0.024s) 2022-11-23T01:39:57.4301384Z test_nn_ConstantPad1d (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-11-23T01:39:57.4301700Z test_nn_ConstantPad1d_batch (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-11-23T01:39:57.4302025Z test_nn_ConstantPad1d_complex (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-11-23T01:39:57.4302326Z test_nn_ConstantPad2d (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-11-23T01:39:57.4302638Z test_nn_ConstantPad2d_complex (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-11-23T01:39:57.4302966Z test_nn_ConstantPad2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-11-23T01:39:57.4303273Z test_nn_ConstantPad3d (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-11-23T01:39:57.4303588Z test_nn_ConstantPad3d_complex (__main__.TestJitGeneratedModule) ... ok (0.039s) 2022-11-23T01:39:57.4303914Z test_nn_ConstantPad3d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-11-23T01:39:57.4304222Z test_nn_Conv1d (__main__.TestJitGeneratedModule) ... ok (0.054s) 2022-11-23T01:39:57.4304522Z test_nn_Conv1d_circular_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.056s) 2022-11-23T01:39:57.4304898Z test_nn_Conv1d_dilated (__main__.TestJitGeneratedModule) ... ok (0.054s) 2022-11-23T01:39:57.4305206Z test_nn_Conv1d_groups (__main__.TestJitGeneratedModule) ... ok (0.054s) 2022-11-23T01:39:57.4305493Z test_nn_Conv1d_pad1 (__main__.TestJitGeneratedModule) ... ok (0.054s) 2022-11-23T01:39:57.4305798Z test_nn_Conv1d_pad1size1 (__main__.TestJitGeneratedModule) ... ok (0.053s) 2022-11-23T01:39:57.4306099Z test_nn_Conv1d_pad2 (__main__.TestJitGeneratedModule) ... ok (0.054s) 2022-11-23T01:39:57.4306402Z test_nn_Conv1d_pad2size1 (__main__.TestJitGeneratedModule) ... ok (0.053s) 2022-11-23T01:39:57.4306696Z test_nn_Conv1d_pad_same (__main__.TestJitGeneratedModule) ... ok (0.056s) 2022-11-23T01:39:57.4307048Z test_nn_Conv1d_pad_same2 (__main__.TestJitGeneratedModule) ... ok (0.055s) 2022-11-23T01:39:57.4307364Z test_nn_Conv1d_pad_same_dilated (__main__.TestJitGeneratedModule) ... ok (0.055s) 2022-11-23T01:39:57.4307665Z test_nn_Conv1d_pad_valid (__main__.TestJitGeneratedModule) ... ok (0.054s) 2022-11-23T01:39:57.4307982Z test_nn_Conv1d_reflect_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.057s) 2022-11-23T01:39:57.4308404Z test_nn_Conv1d_replicate_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.058s) 2022-11-23T01:39:57.4308728Z test_nn_Conv1d_stride (__main__.TestJitGeneratedModule) ... ok (0.054s) 2022-11-23T01:39:57.4309016Z test_nn_Conv1d_zero_batch (__main__.TestJitGeneratedModule) ... ok (0.051s) 2022-11-23T01:39:57.4309330Z test_nn_Conv1d_zeros_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.053s) 2022-11-23T01:39:57.4309633Z test_nn_Conv2d (__main__.TestJitGeneratedModule) ... ok (0.055s) 2022-11-23T01:39:57.4309936Z test_nn_Conv2d_circular_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.058s) 2022-11-23T01:39:57.4310254Z test_nn_Conv2d_depthwise (__main__.TestJitGeneratedModule) ... ok (0.057s) 2022-11-23T01:39:57.4310572Z test_nn_Conv2d_depthwise_dilated (__main__.TestJitGeneratedModule) ... ok (0.058s) 2022-11-23T01:39:57.4310898Z test_nn_Conv2d_depthwise_padded (__main__.TestJitGeneratedModule) ... ok (0.058s) 2022-11-23T01:39:57.4311210Z test_nn_Conv2d_depthwise_strided (__main__.TestJitGeneratedModule) ... ok (0.058s) 2022-11-23T01:39:57.4311550Z test_nn_Conv2d_depthwise_with_multiplier (__main__.TestJitGeneratedModule) ... ok (0.059s) 2022-11-23T01:39:57.4311874Z test_nn_Conv2d_dilated (__main__.TestJitGeneratedModule) ... ok (0.056s) 2022-11-23T01:39:57.4312168Z test_nn_Conv2d_groups (__main__.TestJitGeneratedModule) ... ok (0.058s) 2022-11-23T01:39:57.4312470Z test_nn_Conv2d_groups_thnn (__main__.TestJitGeneratedModule) ... ok (0.059s) 2022-11-23T01:39:57.4312894Z test_nn_Conv2d_no_bias (__main__.TestJitGeneratedModule) ... ok (0.054s) 2022-11-23T01:39:57.4313554Z test_nn_Conv2d_pad_same (__main__.TestJitGeneratedModule) ... ok (0.055s) 2022-11-23T01:39:57.4314221Z test_nn_Conv2d_pad_same_dilated (__main__.TestJitGeneratedModule) ... ok (0.056s) 2022-11-23T01:39:57.4314984Z test_nn_Conv2d_pad_valid (__main__.TestJitGeneratedModule) ... ok (0.055s) 2022-11-23T01:39:57.4315678Z test_nn_Conv2d_padding (__main__.TestJitGeneratedModule) ... ok (0.055s) 2022-11-23T01:39:57.4316358Z test_nn_Conv2d_reflect_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.058s) 2022-11-23T01:39:57.4317011Z test_nn_Conv2d_replicate_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.058s) 2022-11-23T01:39:57.4317674Z test_nn_Conv2d_strided (__main__.TestJitGeneratedModule) ... ok (0.055s) 2022-11-23T01:39:57.4318321Z test_nn_Conv2d_zero_batch (__main__.TestJitGeneratedModule) ... ok (0.051s) 2022-11-23T01:39:57.4318954Z test_nn_Conv2d_zeros_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.054s) 2022-11-23T01:39:57.4319587Z test_nn_Conv3d (__main__.TestJitGeneratedModule) ... ok (0.055s) 2022-11-23T01:39:57.4319978Z test_nn_Conv3d_1x1x1_no_bias (__main__.TestJitGeneratedModule) ... ok (0.053s) 2022-11-23T01:39:57.4320335Z test_nn_Conv3d_circular_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.061s) 2022-11-23T01:39:57.4320796Z test_nn_Conv3d_dilated (__main__.TestJitGeneratedModule) ... ok (0.056s) 2022-11-23T01:39:57.4321160Z test_nn_Conv3d_dilated_strided (__main__.TestJitGeneratedModule) ... ok (0.054s) 2022-11-23T01:39:57.4321515Z test_nn_Conv3d_groups (__main__.TestJitGeneratedModule) ... ok (0.055s) 2022-11-23T01:39:57.4321846Z test_nn_Conv3d_no_bias (__main__.TestJitGeneratedModule) ... ok (0.054s) 2022-11-23T01:39:57.4322193Z test_nn_Conv3d_pad_same (__main__.TestJitGeneratedModule) ... ok (0.056s) 2022-11-23T01:39:57.4322552Z test_nn_Conv3d_pad_same_dilated (__main__.TestJitGeneratedModule) ... ok (0.055s) 2022-11-23T01:39:57.4322947Z test_nn_Conv3d_pad_valid (__main__.TestJitGeneratedModule) ... ok (0.056s) 2022-11-23T01:39:57.4323316Z test_nn_Conv3d_replicate_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.058s) 2022-11-23T01:39:57.4323678Z test_nn_Conv3d_stride (__main__.TestJitGeneratedModule) ... ok (0.055s) 2022-11-23T01:39:57.4324031Z test_nn_Conv3d_stride_padding (__main__.TestJitGeneratedModule) ... ok (0.056s) 2022-11-23T01:39:57.4324380Z test_nn_Conv3d_zero_batch (__main__.TestJitGeneratedModule) ... ok (0.052s) 2022-11-23T01:39:57.4324749Z test_nn_Conv3d_zeros_stride2_pad2 (__main__.TestJitGeneratedModule) ... ok (0.056s) 2022-11-23T01:39:57.4325315Z test_nn_ConvTranspose1d (__main__.TestJitGeneratedModule) ... ok (0.102s) 2022-11-23T01:39:57.4325883Z test_nn_ConvTranspose1d_dilated (__main__.TestJitGeneratedModule) ... ok (0.102s) 2022-11-23T01:39:57.4326502Z test_nn_ConvTranspose1d_groups (__main__.TestJitGeneratedModule) ... ok (0.103s) 2022-11-23T01:39:57.4327106Z test_nn_ConvTranspose1d_no_bias (__main__.TestJitGeneratedModule) ... ok (0.103s) 2022-11-23T01:39:57.4327701Z test_nn_ConvTranspose2d (__main__.TestJitGeneratedModule) ... ok (0.103s) 2022-11-23T01:39:57.4328264Z test_nn_ConvTranspose2d_dilated (__main__.TestJitGeneratedModule) ... ok (0.103s) 2022-11-23T01:39:57.4328880Z test_nn_ConvTranspose2d_groups (__main__.TestJitGeneratedModule) ... ok (0.104s) 2022-11-23T01:39:57.4329478Z test_nn_ConvTranspose2d_no_bias (__main__.TestJitGeneratedModule) ... ok (0.104s) 2022-11-23T01:39:57.4330031Z test_nn_ConvTranspose3d (__main__.TestJitGeneratedModule) ... ok (0.104s) 2022-11-23T01:39:57.4330612Z test_nn_ConvTranspose3d_dilated (__main__.TestJitGeneratedModule) ... ok (0.104s) 2022-11-23T01:39:57.4331196Z test_nn_CosineEmbeddingLoss (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-11-23T01:39:57.4331722Z test_nn_CosineEmbeddingLoss_margin (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:39:57.4332129Z test_nn_CosineEmbeddingLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-11-23T01:39:57.4332549Z test_nn_CosineEmbeddingLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:39:57.4332964Z test_nn_CosineEmbeddingLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:39:57.4333338Z test_nn_CrossEntropyLoss (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-11-23T01:39:57.4333707Z test_nn_CrossEntropyLoss_2d (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:39:57.4334088Z test_nn_CrossEntropyLoss_2d_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:39:57.4334505Z test_nn_CrossEntropyLoss_2d_indices_target_smoothing (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:39:57.4334937Z test_nn_CrossEntropyLoss_2d_indices_target_smoothing_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:39:57.4335568Z test_nn_CrossEntropyLoss_2d_indices_target_smoothing_sum_reduction (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:39:57.4336296Z test_nn_CrossEntropyLoss_2d_indices_target_smoothing_weight (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:39:57.4336955Z test_nn_CrossEntropyLoss_2d_prob_target (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:39:57.4337735Z test_nn_CrossEntropyLoss_2d_prob_target_smoothing (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:39:57.4338468Z test_nn_CrossEntropyLoss_2d_prob_target_smoothing_sum_reduction (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:39:57.4339324Z test_nn_CrossEntropyLoss_2d_prob_target_smoothing_weight (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:39:57.4340004Z test_nn_CrossEntropyLoss_2d_prob_target_weights (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:39:57.4340656Z test_nn_CrossEntropyLoss_2d_weights (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:39:57.4341332Z test_nn_CrossEntropyLoss_3d_indices_target_smoothing (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:39:57.4342214Z test_nn_CrossEntropyLoss_3d_indices_target_smoothing_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:39:57.4342934Z test_nn_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:39:57.4343691Z test_nn_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:39:57.4344405Z test_nn_CrossEntropyLoss_3d_prob_target (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:39:57.4345093Z test_nn_CrossEntropyLoss_3d_prob_target_smoothing (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:39:57.4345685Z test_nn_CrossEntropyLoss_3d_prob_target_smoothing_sum_reduction (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:39:57.4346123Z test_nn_CrossEntropyLoss_3d_prob_target_weights (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:39:57.4346542Z test_nn_CrossEntropyLoss_4d_prob_target (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:39:57.4346932Z test_nn_CrossEntropyLoss_4d_prob_target_weights (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-11-23T01:39:57.4347332Z test_nn_CrossEntropyLoss_dim_is_3 (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:39:57.4347716Z test_nn_CrossEntropyLoss_higher_dim (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:39:57.4348098Z test_nn_CrossEntropyLoss_weights (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:39:57.4348675Z test_nn_CrossMapLRN2d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4349024Z test_nn_ELU (__main__.TestJitGeneratedModule) ... ok (0.041s) 2022-11-23T01:39:57.4349362Z test_nn_ELU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.041s) 2022-11-23T01:39:57.4349697Z test_nn_ELU_scalar (__main__.TestJitGeneratedModule) ... ok (0.040s) 2022-11-23T01:39:57.4350041Z test_nn_Embedding (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-11-23T01:39:57.4350407Z test_nn_EmbeddingBag_discontiguous (__main__.TestJitGeneratedModule) ... ok (0.065s) 2022-11-23T01:39:57.4350781Z test_nn_EmbeddingBag_max (__main__.TestJitGeneratedModule) ... ok (0.047s) 2022-11-23T01:39:57.4351145Z test_nn_EmbeddingBag_max_padding_idx (__main__.TestJitGeneratedModule) ... ok (0.047s) 2022-11-23T01:39:57.4351519Z test_nn_EmbeddingBag_mean (__main__.TestJitGeneratedModule) ... ok (0.048s) 2022-11-23T01:39:57.4351895Z test_nn_EmbeddingBag_mean_padding_idx (__main__.TestJitGeneratedModule) ... ok (0.049s) 2022-11-23T01:39:57.4352368Z test_nn_EmbeddingBag_sparse (__main__.TestJitGeneratedModule) ... ok (0.048s) 2022-11-23T01:39:57.4352712Z test_nn_EmbeddingBag_sum (__main__.TestJitGeneratedModule) ... ok (0.048s) 2022-11-23T01:39:57.4353040Z test_nn_EmbeddingBag_sum_padding_idx (__main__.TestJitGeneratedModule) ... ok (0.048s) 2022-11-23T01:39:57.4353375Z test_nn_Embedding_discontiguous (__main__.TestJitGeneratedModule) ... ok (0.026s) 2022-11-23T01:39:57.4353683Z test_nn_Embedding_sparse (__main__.TestJitGeneratedModule) ... ok (0.025s) 2022-11-23T01:39:57.4353984Z test_nn_Flatten (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-11-23T01:39:57.4354384Z test_nn_Flatten_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-11-23T01:39:57.4354670Z test_nn_Fold (__main__.TestJitGeneratedModule) ... ok (0.051s) 2022-11-23T01:39:57.4354964Z test_nn_Fold_int_input (__main__.TestJitGeneratedModule) ... ok (0.046s) 2022-11-23T01:39:57.4355275Z test_nn_Fold_no_batch_dim_input (__main__.TestJitGeneratedModule) ... ok (0.047s) 2022-11-23T01:39:57.4355597Z test_nn_Fold_no_batch_dim_int_input (__main__.TestJitGeneratedModule) ... ok (0.046s) 2022-11-23T01:39:57.4355917Z test_nn_FractionalMaxPool2d_ratio (__main__.TestJitGeneratedModule) ... ok (0.089s) 2022-11-23T01:39:57.4356275Z test_nn_FractionalMaxPool2d_ratio_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.074s) 2022-11-23T01:39:57.4356730Z test_nn_FractionalMaxPool2d_ratio_no_batch_dim_no_random_samples (__main__.TestJitGeneratedModule) ... ok (0.076s) 2022-11-23T01:39:57.4357116Z test_nn_FractionalMaxPool2d_ratio_return_indices (__main__.TestJitGeneratedModule) ... ok (0.070s) 2022-11-23T01:39:57.4357455Z test_nn_FractionalMaxPool2d_size (__main__.TestJitGeneratedModule) ... ok (0.073s) 2022-11-23T01:39:57.4357805Z test_nn_FractionalMaxPool2d_size_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.073s) 2022-11-23T01:39:57.4358188Z test_nn_FractionalMaxPool2d_size_no_batch_dim_no_random_samples (__main__.TestJitGeneratedModule) ... ok (0.075s) 2022-11-23T01:39:57.4358543Z test_nn_FractionalMaxPool3d_asymsize (__main__.TestJitGeneratedModule) ... ok (0.093s) 2022-11-23T01:39:57.4358884Z test_nn_FractionalMaxPool3d_ratio (__main__.TestJitGeneratedModule) ... ok (0.081s) 2022-11-23T01:39:57.4359342Z test_nn_FractionalMaxPool3d_ratio_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.080s) 2022-11-23T01:39:57.4359824Z test_nn_FractionalMaxPool3d_ratio_no_batch_dim_no_random_samples (__main__.TestJitGeneratedModule) ... ok (0.083s) 2022-11-23T01:39:57.4360202Z test_nn_FractionalMaxPool3d_ratio_return_indices (__main__.TestJitGeneratedModule) ... ok (0.075s) 2022-11-23T01:39:57.4360557Z test_nn_FractionalMaxPool3d_size (__main__.TestJitGeneratedModule) ... ok (0.078s) 2022-11-23T01:39:57.4360906Z test_nn_FractionalMaxPool3d_size_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.076s) 2022-11-23T01:39:57.4361275Z test_nn_FractionalMaxPool3d_size_no_batch_dim_no_random_samples (__main__.TestJitGeneratedModule) ... ok (0.079s) 2022-11-23T01:39:57.4361609Z test_nn_GELU (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-11-23T01:39:57.4361902Z test_nn_GELU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.033s) 2022-11-23T01:39:57.4362203Z test_nn_GELU_scalar (__main__.TestJitGeneratedModule) ... ok (0.033s) 2022-11-23T01:39:57.4362481Z test_nn_GLU (__main__.TestJitGeneratedModule) ... ok (0.044s) 2022-11-23T01:39:57.4362765Z test_nn_GLU_dim (__main__.TestJitGeneratedModule) ... ok (0.041s) 2022-11-23T01:39:57.4363064Z test_nn_GLU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.041s) 2022-11-23T01:39:57.4363347Z test_nn_GRUCell (__main__.TestJitGeneratedModule) ... ok (0.069s) 2022-11-23T01:39:57.4363648Z test_nn_GroupNorm_1d_affine (__main__.TestJitGeneratedModule) ... ok (0.075s) 2022-11-23T01:39:57.4363967Z test_nn_GroupNorm_1d_affine_GN (__main__.TestJitGeneratedModule) ... ok (0.069s) 2022-11-23T01:39:57.4364296Z test_nn_GroupNorm_1d_affine_large_batch (__main__.TestJitGeneratedModule) ... ok (0.070s) 2022-11-23T01:39:57.4364614Z test_nn_GroupNorm_1d_no_affine_IN (__main__.TestJitGeneratedModule) ... ok (0.068s) 2022-11-23T01:39:57.4364938Z test_nn_GroupNorm_1d_no_affine_LN (__main__.TestJitGeneratedModule) ... ok (0.094s) 2022-11-23T01:39:57.4365254Z test_nn_GroupNorm_2d_affine (__main__.TestJitGeneratedModule) ... ok (0.069s) 2022-11-23T01:39:57.4365574Z test_nn_GroupNorm_2d_affine_large_feature (__main__.TestJitGeneratedModule) ... ok (0.076s) 2022-11-23T01:39:57.4365901Z test_nn_GroupNorm_2d_no_affine_IN (__main__.TestJitGeneratedModule) ... ok (0.067s) 2022-11-23T01:39:57.4366267Z test_nn_GroupNorm_2d_no_affine_LN (__main__.TestJitGeneratedModule) ... ok (0.109s) 2022-11-23T01:39:57.4366605Z test_nn_GroupNorm_2d_no_affine_large_feature (__main__.TestJitGeneratedModule) ... ok (0.135s) 2022-11-23T01:39:57.4366913Z test_nn_Hardshrink (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-11-23T01:39:57.4367221Z test_nn_Hardshrink_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-11-23T01:39:57.4367541Z test_nn_Hardshrink_scalar (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-11-23T01:39:57.4367884Z test_nn_Hardsigmoid_no_batch_dim (__main__.TestJitGeneratedModule) ... skip: module test skipped on JIT (0.003s) 2022-11-23T01:39:57.4368302Z test_nn_Hardswish_no_batch_dim (__main__.TestJitGeneratedModule) ... skip: module test skipped on JIT (0.003s) 2022-11-23T01:39:57.4368637Z test_nn_Hardtanh (__main__.TestJitGeneratedModule) ... ok (0.044s) 2022-11-23T01:39:57.4368942Z test_nn_Hardtanh_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.045s) 2022-11-23T01:39:57.4369245Z test_nn_Hardtanh_scalar (__main__.TestJitGeneratedModule) ... ok (0.044s) 2022-11-23T01:39:57.4369559Z test_nn_HingeEmbeddingLoss (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-11-23T01:39:57.4369887Z test_nn_HingeEmbeddingLoss_margin (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:39:57.4370237Z test_nn_HingeEmbeddingLoss_margin_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4370582Z test_nn_HingeEmbeddingLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:39:57.4370937Z test_nn_HingeEmbeddingLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:39:57.4371294Z test_nn_HingeEmbeddingLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:39:57.4371631Z test_nn_HingeEmbeddingLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4371976Z test_nn_HingeEmbeddingLoss_scalar_margin (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:39:57.4372298Z test_nn_HuberLoss (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-11-23T01:39:57.4372596Z test_nn_HuberLoss_delta (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4372901Z test_nn_HuberLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.025s) 2022-11-23T01:39:57.4373231Z test_nn_HuberLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.025s) 2022-11-23T01:39:57.4373556Z test_nn_HuberLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.025s) 2022-11-23T01:39:57.4373859Z test_nn_InstanceNorm1d (__main__.TestJitGeneratedModule) ... ok (0.103s) 2022-11-23T01:39:57.4374180Z test_nn_InstanceNorm1d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.099s) 2022-11-23T01:39:57.4374517Z test_nn_InstanceNorm1d_tracking_stats (__main__.TestJitGeneratedModule) ... ok (0.107s) 2022-11-23T01:39:57.4374872Z test_nn_InstanceNorm1d_tracking_stats_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.106s) 2022-11-23T01:39:57.4375193Z test_nn_InstanceNorm2d (__main__.TestJitGeneratedModule) ... ok (0.102s) 2022-11-23T01:39:57.4375511Z test_nn_InstanceNorm2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.101s) 2022-11-23T01:39:57.4375849Z test_nn_InstanceNorm2d_tracking_stats (__main__.TestJitGeneratedModule) ... ok (0.105s) 2022-11-23T01:39:57.4376190Z test_nn_InstanceNorm2d_tracking_stats_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.104s) 2022-11-23T01:39:57.4376522Z test_nn_InstanceNorm3d (__main__.TestJitGeneratedModule) ... ok (0.098s) 2022-11-23T01:39:57.4376842Z test_nn_InstanceNorm3d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.096s) 2022-11-23T01:39:57.4377177Z test_nn_InstanceNorm3d_tracking_stats (__main__.TestJitGeneratedModule) ... ok (0.102s) 2022-11-23T01:39:57.4377515Z test_nn_InstanceNorm3d_tracking_stats_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.102s) 2022-11-23T01:39:57.4377877Z test_nn_KLDivLoss (__main__.TestJitGeneratedModule) ... ok (0.043s) 2022-11-23T01:39:57.4378190Z test_nn_KLDivLoss_log_target (__main__.TestJitGeneratedModule) ... ok (0.033s) 2022-11-23T01:39:57.4378502Z test_nn_KLDivLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-11-23T01:39:57.4378982Z test_nn_KLDivLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-11-23T01:39:57.4379309Z test_nn_KLDivLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-11-23T01:39:57.4379632Z test_nn_KLDivLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4379947Z test_nn_KLDivLoss_no_reduce_log_target (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4380350Z test_nn_KLDivLoss_no_reduce_scalar (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4380693Z test_nn_KLDivLoss_no_reduce_scalar_log_target (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4381026Z test_nn_KLDivLoss_scalar (__main__.TestJitGeneratedModule) ... ok (0.033s) 2022-11-23T01:39:57.4381336Z test_nn_KLDivLoss_scalar_log_target (__main__.TestJitGeneratedModule) ... ok (0.033s) 2022-11-23T01:39:57.4381677Z test_nn_KLDivLoss_with_log_target_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4382020Z test_nn_KLDivLoss_with_target_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4382319Z test_nn_L1Loss (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-11-23T01:39:57.4382622Z test_nn_L1Loss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:39:57.4382939Z test_nn_L1Loss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:39:57.4383257Z test_nn_L1Loss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:39:57.4383554Z test_nn_L1Loss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4383871Z test_nn_L1Loss_no_reduce_complex (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4384194Z test_nn_L1Loss_no_reduce_scalar (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4384492Z test_nn_L1Loss_scalar (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:39:57.4384786Z test_nn_LPPool1d (__main__.TestJitGeneratedModule) ... ok (0.111s) 2022-11-23T01:39:57.4385097Z test_nn_LPPool1d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.108s) 2022-11-23T01:39:57.4385407Z test_nn_LPPool1d_norm (__main__.TestJitGeneratedModule) ... ok (0.113s) 2022-11-23T01:39:57.4385693Z test_nn_LPPool2d (__main__.TestJitGeneratedModule) ... ok (0.131s) 2022-11-23T01:39:57.4385995Z test_nn_LPPool2d_norm (__main__.TestJitGeneratedModule) ... ok (0.142s) 2022-11-23T01:39:57.4386290Z test_nn_LSTMCell (__main__.TestJitGeneratedModule) ... ok (0.079s) 2022-11-23T01:39:57.4386594Z test_nn_LayerNorm_1d_elementwise_affine (__main__.TestJitGeneratedModule) ... ok (0.051s) 2022-11-23T01:39:57.4386948Z test_nn_LayerNorm_1d_empty_elementwise_affine (__main__.TestJitGeneratedModule) ... ok (0.045s) 2022-11-23T01:39:57.4387295Z test_nn_LayerNorm_1d_no_elementwise_affine (__main__.TestJitGeneratedModule) ... ok (0.044s) 2022-11-23T01:39:57.4387638Z test_nn_LayerNorm_3d_elementwise_affine (__main__.TestJitGeneratedModule) ... ok (0.047s) 2022-11-23T01:39:57.4387974Z test_nn_LayerNorm_3d_no_affine_large_feature (__main__.TestJitGeneratedModule) ... ok (0.179s) 2022-11-23T01:39:57.4388404Z test_nn_LayerNorm_3d_no_elementwise_affine (__main__.TestJitGeneratedModule) ... ok (0.048s) 2022-11-23T01:39:57.4388727Z test_nn_LeakyReLU (__main__.TestJitGeneratedModule) ... ok (0.041s) 2022-11-23T01:39:57.4389027Z test_nn_LeakyReLU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.040s) 2022-11-23T01:39:57.4389343Z test_nn_LeakyReLU_with_negval (__main__.TestJitGeneratedModule) ... ok (0.041s) 2022-11-23T01:39:57.4389668Z test_nn_LeakyReLU_with_negval_scalar (__main__.TestJitGeneratedModule) ... ok (0.041s) 2022-11-23T01:39:57.4390060Z test_nn_LeakyReLU_with_zero_negval (__main__.TestJitGeneratedModule) ... ok (0.040s) 2022-11-23T01:39:57.4390358Z test_nn_Linear (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-11-23T01:39:57.4390659Z test_nn_Linear_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-11-23T01:39:57.4390963Z test_nn_Linear_no_bias (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-11-23T01:39:57.4391265Z test_nn_LocalResponseNorm_1d (__main__.TestJitGeneratedModule) ... ok (0.164s) 2022-11-23T01:39:57.4391601Z test_nn_LocalResponseNorm_2d_uneven_pad (__main__.TestJitGeneratedModule) ... ok (0.182s) 2022-11-23T01:39:57.4391988Z test_nn_LocalResponseNorm_3d_custom_params (__main__.TestJitGeneratedModule) ... ok (0.184s) 2022-11-23T01:39:57.4392313Z test_nn_LogSigmoid (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-11-23T01:39:57.4392614Z test_nn_LogSigmoid_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-11-23T01:39:57.4392934Z test_nn_LogSigmoid_scalar (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-11-23T01:39:57.4393239Z test_nn_LogSoftmax (__main__.TestJitGeneratedModule) ... ok (0.052s) 2022-11-23T01:39:57.4393538Z test_nn_LogSoftmax_multiparam (__main__.TestJitGeneratedModule) ... ok (0.053s) 2022-11-23T01:39:57.4393869Z test_nn_LogSoftmax_multiparam_scalar (__main__.TestJitGeneratedModule) ... ok (0.049s) 2022-11-23T01:39:57.4394198Z test_nn_LogSoftmax_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.050s) 2022-11-23T01:39:57.4394501Z test_nn_MSELoss (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-11-23T01:39:57.4394793Z test_nn_MSELoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:39:57.4395119Z test_nn_MSELoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:39:57.4395437Z test_nn_MSELoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:39:57.4395744Z test_nn_MSELoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4396055Z test_nn_MSELoss_no_reduce_scalar (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4396365Z test_nn_MSELoss_prec (__main__.TestJitGeneratedModule) ... ok (0.048s) 2022-11-23T01:39:57.4396667Z test_nn_MSELoss_scalar (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:39:57.4396965Z test_nn_MarginRankingLoss (__main__.TestJitGeneratedModule) ... ok (0.040s) 2022-11-23T01:39:57.4397288Z test_nn_MarginRankingLoss_margin (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-11-23T01:39:57.4397634Z test_nn_MarginRankingLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-11-23T01:39:57.4397973Z test_nn_MarginRankingLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-11-23T01:39:57.4398318Z test_nn_MarginRankingLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-11-23T01:39:57.4398643Z test_nn_MaxPool1d (__main__.TestJitGeneratedModule) ... ok (0.053s) 2022-11-23T01:39:57.4398955Z test_nn_MaxPool1d_return_indices (__main__.TestJitGeneratedModule) ... ok (0.056s) 2022-11-23T01:39:57.4399261Z test_nn_MaxPool1d_stride (__main__.TestJitGeneratedModule) ... ok (0.049s) 2022-11-23T01:39:57.4399575Z test_nn_MaxPool2d_3d_input (__main__.TestJitGeneratedModule) ... ok (0.051s) 2022-11-23T01:39:57.4399887Z test_nn_MaxPool2d_4d_input (__main__.TestJitGeneratedModule) ... ok (0.051s) 2022-11-23T01:39:57.4400193Z test_nn_MaxPool2d_return_indices (__main__.TestJitGeneratedModule) ... ok (0.059s) 2022-11-23T01:39:57.4400501Z test_nn_MaxPool3d (__main__.TestJitGeneratedModule) ... ok (0.052s) 2022-11-23T01:39:57.4400814Z test_nn_MaxPool3d_return_indices (__main__.TestJitGeneratedModule) ... ok (0.059s) 2022-11-23T01:39:57.4401130Z test_nn_MaxPool3d_stride (__main__.TestJitGeneratedModule) ... ok (0.051s) 2022-11-23T01:39:57.4401438Z test_nn_MaxPool3d_stride_padding (__main__.TestJitGeneratedModule) ... ok (0.052s) 2022-11-23T01:39:57.4401780Z test_nn_Mish (__main__.TestJitGeneratedModule) ... ok (0.044s) 2022-11-23T01:39:57.4402079Z test_nn_Mish_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.039s) 2022-11-23T01:39:57.4402368Z test_nn_Mish_scalar (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-11-23T01:39:57.4402685Z test_nn_MultiLabelMarginLoss (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-11-23T01:39:57.4403028Z test_nn_MultiLabelMarginLoss_0d_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4403373Z test_nn_MultiLabelMarginLoss_1d (__main__.TestJitGeneratedModule) ... ok (0.027s) 2022-11-23T01:39:57.4403736Z test_nn_MultiLabelMarginLoss_1d_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4404088Z test_nn_MultiLabelMarginLoss_index_neg (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4404448Z test_nn_MultiLabelMarginLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-11-23T01:39:57.4404804Z test_nn_MultiLabelMarginLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:39:57.4405172Z test_nn_MultiLabelMarginLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-11-23T01:39:57.4405532Z test_nn_MultiLabelMarginLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4405878Z test_nn_MultiLabelSoftMarginLoss (__main__.TestJitGeneratedModule) ... ok (0.080s) 2022-11-23T01:39:57.4406231Z test_nn_MultiLabelSoftMarginLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.060s) 2022-11-23T01:39:57.4406614Z test_nn_MultiLabelSoftMarginLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.058s) 2022-11-23T01:39:57.4406992Z test_nn_MultiLabelSoftMarginLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.057s) 2022-11-23T01:39:57.4407363Z test_nn_MultiLabelSoftMarginLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4407718Z test_nn_MultiLabelSoftMarginLoss_weights (__main__.TestJitGeneratedModule) ... ok (0.074s) 2022-11-23T01:39:57.4408098Z test_nn_MultiLabelSoftMarginLoss_weights_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4408443Z test_nn_MultiMarginLoss (__main__.TestJitGeneratedModule) ... ok (0.040s) 2022-11-23T01:39:57.4408745Z test_nn_MultiMarginLoss_1d (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-11-23T01:39:57.4409077Z test_nn_MultiMarginLoss_1d_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.004s) 2022-11-23T01:39:57.4409409Z test_nn_MultiMarginLoss_margin (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-11-23T01:39:57.4409747Z test_nn_MultiMarginLoss_margin_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4410074Z test_nn_MultiMarginLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4410397Z test_nn_MultiMarginLoss_p (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-11-23T01:39:57.4410725Z test_nn_MultiMarginLoss_p_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4411044Z test_nn_MultiMarginLoss_weights (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-11-23T01:39:57.4411385Z test_nn_MultiMarginLoss_weights_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4411795Z test_nn_MultiheadAttention (__main__.TestJitGeneratedModule) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-11-23T01:39:57.4412163Z test_nn_NLLLoss (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-11-23T01:39:57.4412455Z test_nn_NLLLoss2d_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4412787Z test_nn_NLLLoss2d_no_reduce_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4413124Z test_nn_NLLLoss2d_no_reduce_weights (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4413467Z test_nn_NLLLossNd_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4413796Z test_nn_NLLLossNd_no_reduce_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4414132Z test_nn_NLLLossNd_no_reduce_weights (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4414443Z test_nn_NLLLoss_2d (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-11-23T01:39:57.4414737Z test_nn_NLLLoss_2d_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-11-23T01:39:57.4415053Z test_nn_NLLLoss_2d_weights (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-11-23T01:39:57.4415358Z test_nn_NLLLoss_dim_is_3 (__main__.TestJitGeneratedModule) ... ok (0.027s) 2022-11-23T01:39:57.4415686Z test_nn_NLLLoss_higher_dim (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-11-23T01:39:57.4416001Z test_nn_NLLLoss_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:39:57.4416320Z test_nn_NLLLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-11-23T01:39:57.4416644Z test_nn_NLLLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-11-23T01:39:57.4416952Z test_nn_NLLLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:39:57.4417264Z test_nn_NLLLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4417588Z test_nn_NLLLoss_no_reduce_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4417906Z test_nn_NLLLoss_no_reduce_weights (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4418249Z test_nn_NLLLoss_no_reduce_weights_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4418619Z test_nn_NLLLoss_no_reduce_weights_ignore_index_neg (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4419148Z test_nn_NLLLoss_weights (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:39:57.4419466Z test_nn_NLLLoss_weights_ignore_index (__main__.TestJitGeneratedModule) ... ok (0.048s) 2022-11-23T01:39:57.4419804Z test_nn_NLLLoss_weights_ignore_index_neg (__main__.TestJitGeneratedModule) ... ok (0.050s) 2022-11-23T01:39:57.4420119Z test_nn_PReLU_1d (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-11-23T01:39:57.4420426Z test_nn_PReLU_1d_multiparam (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-11-23T01:39:57.4420717Z test_nn_PReLU_2d (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-11-23T01:39:57.4421018Z test_nn_PReLU_2d_multiparam (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-11-23T01:39:57.4421319Z test_nn_PReLU_3d (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-11-23T01:39:57.4421612Z test_nn_PReLU_3d_multiparam (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-11-23T01:39:57.4421925Z test_nn_PReLU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-11-23T01:39:57.4422230Z test_nn_PReLU_scalar (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-11-23T01:39:57.4422531Z test_nn_Padding122112_3dcircular (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4422857Z test_nn_Padding1221_2dcircular (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4423176Z test_nn_Padding12_1dcircular (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4423495Z test_nn_Padding2322_2dcircular (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4423803Z test_nn_Padding31_1dcircular (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4424124Z test_nn_Padding322112_3dcircular (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4424451Z test_nn_Padding332122_3dcircular (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4424760Z test_nn_Padding3331_2dcircular (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4425080Z test_nn_Padding33_1dcircular (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4425457Z test_nn_PairwiseDistance (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-11-23T01:39:57.4425794Z test_nn_PairwiseDistance_broadcast_lhs (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-11-23T01:39:57.4426128Z test_nn_PairwiseDistance_broadcast_rhs (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-11-23T01:39:57.4426468Z test_nn_PairwiseDistance_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-11-23T01:39:57.4426823Z test_nn_PairwiseDistance_with_non_default_args (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-11-23T01:39:57.4427156Z test_nn_PixelShuffle (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-11-23T01:39:57.4427496Z test_nn_PixelUnshuffle (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-11-23T01:39:57.4427819Z test_nn_PoissonNLLLoss_full_loss (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-11-23T01:39:57.4428161Z test_nn_PoissonNLLLoss_full_loss_no_log_input (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:39:57.4428588Z test_nn_PoissonNLLLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:39:57.4428930Z test_nn_PoissonNLLLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:39:57.4429267Z test_nn_PoissonNLLLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.031s) 2022-11-23T01:39:57.4429604Z test_nn_PoissonNLLLoss_no_full_loss (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:39:57.4429938Z test_nn_PoissonNLLLoss_no_full_loss_no_log_input (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:39:57.4430280Z test_nn_PoissonNLLLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4430590Z test_nn_RNNCell (__main__.TestJitGeneratedModule) ... ok (0.071s) 2022-11-23T01:39:57.4430864Z test_nn_RReLU (__main__.TestJitGeneratedModule) ... ok (0.044s) 2022-11-23T01:39:57.4431162Z test_nn_RReLU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.043s) 2022-11-23T01:39:57.4431476Z test_nn_RReLU_with_up_down (__main__.TestJitGeneratedModule) ... ok (0.044s) 2022-11-23T01:39:57.4431794Z test_nn_RReLU_with_up_down_scalar (__main__.TestJitGeneratedModule) ... ok (0.043s) 2022-11-23T01:39:57.4432084Z test_nn_ReLU (__main__.TestJitGeneratedModule) ... ok (0.039s) 2022-11-23T01:39:57.4432362Z test_nn_ReLU6 (__main__.TestJitGeneratedModule) ... ok (0.043s) 2022-11-23T01:39:57.4432657Z test_nn_ReLU6_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.042s) 2022-11-23T01:39:57.4432943Z test_nn_ReLU6_scalar (__main__.TestJitGeneratedModule) ... ok (0.042s) 2022-11-23T01:39:57.4433245Z test_nn_ReLU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-11-23T01:39:57.4433546Z test_nn_ReLU_scalar (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-11-23T01:39:57.4433848Z test_nn_ReflectionPad1d (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-11-23T01:39:57.4434154Z test_nn_ReflectionPad1d_batch (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-11-23T01:39:57.4434487Z test_nn_ReflectionPad1d_complex (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-11-23T01:39:57.4434804Z test_nn_ReflectionPad2d (__main__.TestJitGeneratedModule) ... ok (0.039s) 2022-11-23T01:39:57.4435109Z test_nn_ReflectionPad2d_complex (__main__.TestJitGeneratedModule) ... ok (0.067s) 2022-11-23T01:39:57.4435443Z test_nn_ReflectionPad2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.045s) 2022-11-23T01:39:57.4435769Z test_nn_ReflectionPad3d (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-11-23T01:39:57.4436089Z test_nn_ReflectionPad3d_complex (__main__.TestJitGeneratedModule) ... ok (0.039s) 2022-11-23T01:39:57.4436413Z test_nn_ReflectionPad3d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-11-23T01:39:57.4436743Z test_nn_ReplicationPad1d (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-11-23T01:39:57.4437066Z test_nn_ReplicationPad1d_batch (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-11-23T01:39:57.4437423Z test_nn_ReplicationPad1d_complex (__main__.TestJitGeneratedModule) ... ok (0.036s) 2022-11-23T01:39:57.4437754Z test_nn_ReplicationPad2d (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-11-23T01:39:57.4438080Z test_nn_ReplicationPad2d_complex (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-11-23T01:39:57.4438420Z test_nn_ReplicationPad2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-11-23T01:39:57.4438739Z test_nn_ReplicationPad3d (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-11-23T01:39:57.4439065Z test_nn_ReplicationPad3d_complex (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-11-23T01:39:57.4439456Z test_nn_ReplicationPad3d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-11-23T01:39:57.4439753Z test_nn_SELU (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-11-23T01:39:57.4440048Z test_nn_SELU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-11-23T01:39:57.4440353Z test_nn_SELU_scalar (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-11-23T01:39:57.4440626Z test_nn_SiLU (__main__.TestJitGeneratedModule) ... ok (0.040s) 2022-11-23T01:39:57.4440921Z test_nn_SiLU_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-11-23T01:39:57.4441222Z test_nn_SiLU_scalar (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-11-23T01:39:57.4441513Z test_nn_Sigmoid (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-11-23T01:39:57.4441802Z test_nn_Sigmoid_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-11-23T01:39:57.4442110Z test_nn_Sigmoid_scalar (__main__.TestJitGeneratedModule) ... ok (0.032s) 2022-11-23T01:39:57.4442415Z test_nn_SmoothL1Loss (__main__.TestJitGeneratedModule) ... ok (0.038s) 2022-11-23T01:39:57.4442708Z test_nn_SmoothL1Loss_beta (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4443033Z test_nn_SmoothL1Loss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:39:57.4443373Z test_nn_SmoothL1Loss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:39:57.4443705Z test_nn_SmoothL1Loss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.029s) 2022-11-23T01:39:57.4444016Z test_nn_SmoothL1Loss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4444341Z test_nn_SmoothL1Loss_no_reduce_scalar (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4444665Z test_nn_SmoothL1Loss_scalar (__main__.TestJitGeneratedModule) ... ok (0.030s) 2022-11-23T01:39:57.4444974Z test_nn_SmoothL1Loss_zero_beta (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4445290Z test_nn_SoftMarginLoss (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-11-23T01:39:57.4445614Z test_nn_SoftMarginLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-11-23T01:39:57.4445957Z test_nn_SoftMarginLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-11-23T01:39:57.4446286Z test_nn_SoftMarginLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.028s) 2022-11-23T01:39:57.4446621Z test_nn_SoftMarginLoss_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4446927Z test_nn_Softmax (__main__.TestJitGeneratedModule) ... ok (0.056s) 2022-11-23T01:39:57.4447205Z test_nn_Softmax2d (__main__.TestJitGeneratedModule) ... ok (0.072s) 2022-11-23T01:39:57.4447508Z test_nn_Softmax2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.057s) 2022-11-23T01:39:57.4447825Z test_nn_Softmax_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.051s) 2022-11-23T01:39:57.4448133Z test_nn_Softmax_scalar (__main__.TestJitGeneratedModule) ... ok (0.050s) 2022-11-23T01:39:57.4448418Z test_nn_Softmin (__main__.TestJitGeneratedModule) ... ok (0.080s) 2022-11-23T01:39:57.4448719Z test_nn_Softmin_multidim (__main__.TestJitGeneratedModule) ... ok (0.057s) 2022-11-23T01:39:57.4449064Z test_nn_Softmin_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.058s) 2022-11-23T01:39:57.4449361Z test_nn_Softmin_scalar (__main__.TestJitGeneratedModule) ... ok (0.100s) 2022-11-23T01:39:57.4449671Z test_nn_Softplus (__main__.TestJitGeneratedModule) ... ok (0.056s) 2022-11-23T01:39:57.4449969Z test_nn_Softplus_beta (__main__.TestJitGeneratedModule) ... ok (0.056s) 2022-11-23T01:39:57.4450283Z test_nn_Softplus_beta_threshold (__main__.TestJitGeneratedModule) ... ok (0.083s) 2022-11-23T01:39:57.4450603Z test_nn_Softplus_beta_threshold_scalar (__main__.TestJitGeneratedModule) ... ok (0.086s) 2022-11-23T01:39:57.4450932Z test_nn_Softplus_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.037s) 2022-11-23T01:39:57.4451270Z test_nn_Softshrink (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-11-23T01:39:57.4451565Z test_nn_Softshrink_lambda (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-11-23T01:39:57.4451884Z test_nn_Softshrink_lambda_scalar (__main__.TestJitGeneratedModule) ... ok (0.035s) 2022-11-23T01:39:57.4452211Z test_nn_Softshrink_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-11-23T01:39:57.4452516Z test_nn_Softsign (__main__.TestJitGeneratedModule) ... ok (0.088s) 2022-11-23T01:39:57.4452809Z test_nn_Softsign_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.074s) 2022-11-23T01:39:57.4453121Z test_nn_Softsign_scalar (__main__.TestJitGeneratedModule) ... ok (0.073s) 2022-11-23T01:39:57.4453415Z test_nn_Tanh (__main__.TestJitGeneratedModule) ... ok (0.034s) 2022-11-23T01:39:57.4453696Z test_nn_Tanh_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.033s) 2022-11-23T01:39:57.4453997Z test_nn_Tanh_scalar (__main__.TestJitGeneratedModule) ... ok (0.042s) 2022-11-23T01:39:57.4454297Z test_nn_Tanhshrink (__main__.TestJitGeneratedModule) ... ok (0.137s) 2022-11-23T01:39:57.4454609Z test_nn_Tanhshrink_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.070s) 2022-11-23T01:39:57.4454914Z test_nn_Tanhshrink_scalar (__main__.TestJitGeneratedModule) ... ok (0.069s) 2022-11-23T01:39:57.4455233Z test_nn_Threshold_large_value (__main__.TestJitGeneratedModule) ... ok (0.046s) 2022-11-23T01:39:57.4455554Z test_nn_Threshold_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.041s) 2022-11-23T01:39:57.4455865Z test_nn_Threshold_threshold_value (__main__.TestJitGeneratedModule) ... ok (0.041s) 2022-11-23T01:39:57.4456201Z test_nn_Threshold_threshold_value_scalar (__main__.TestJitGeneratedModule) ... ok (0.041s) 2022-11-23T01:39:57.4456600Z test_nn_Transformer (__main__.TestJitGeneratedModule) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-11-23T01:39:57.4457007Z test_nn_TransformerDecoderLayer_gelu_activation (__main__.TestJitGeneratedModule) ... ok (2.085s) 2022-11-23T01:39:57.4457373Z test_nn_TransformerDecoderLayer_relu_activation (__main__.TestJitGeneratedModule) ... ok (1.989s) 2022-11-23T01:39:57.4457750Z test_nn_TransformerEncoderLayer_gelu_activation (__main__.TestJitGeneratedModule) ... ok (1.787s) 2022-11-23T01:39:57.4458127Z test_nn_TransformerEncoderLayer_relu_activation (__main__.TestJitGeneratedModule) ... ok (1.775s) 2022-11-23T01:39:57.4458482Z test_nn_Transformer_multilayer_coder (__main__.TestJitGeneratedModule) ... ok (6.386s) 2022-11-23T01:39:57.4458937Z test_nn_TripletMarginLoss_no_batch_dim_mean (__main__.TestJitGeneratedModule) ... ok (0.067s) 2022-11-23T01:39:57.4459290Z test_nn_TripletMarginLoss_no_batch_dim_none (__main__.TestJitGeneratedModule) ... ok (0.054s) 2022-11-23T01:39:57.4459647Z test_nn_TripletMarginLoss_no_batch_dim_sum (__main__.TestJitGeneratedModule) ... ok (0.054s) 2022-11-23T01:39:57.4459967Z test_nn_Unflatten_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.057s) 2022-11-23T01:39:57.4460274Z test_nn_Unfold (__main__.TestJitGeneratedModule) ... ok (0.057s) 2022-11-23T01:39:57.4460573Z test_nn_Unfold_int_input (__main__.TestJitGeneratedModule) ... ok (0.048s) 2022-11-23T01:39:57.4460875Z test_nn_ZeroPad2d (__main__.TestJitGeneratedModule) ... ok (0.039s) 2022-11-23T01:39:57.4461218Z test_nn_ZeroPad2d_complex (__main__.TestJitGeneratedModule) ... ok (0.039s) 2022-11-23T01:39:57.4461547Z test_nn_ZeroPad2d_negative_dims (__main__.TestJitGeneratedModule) ... ok (0.039s) 2022-11-23T01:39:57.4461875Z test_nn_ZeroPad2d_no_batch_dim (__main__.TestJitGeneratedModule) ... ok (0.040s) 2022-11-23T01:39:57.4462187Z test_nn_interpolate_bicubic_2d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4462519Z test_nn_interpolate_bicubic_2d_zero_dim (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4462856Z test_nn_interpolate_bicubic_scale_2d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4463242Z test_nn_interpolate_bicubic_scale_tuple_shared_2d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4463593Z test_nn_interpolate_bicubic_scale_tuple_skewed_2d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4463973Z test_nn_interpolate_bicubic_scale_tuple_skewed_2d_align_corners (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4464335Z test_nn_interpolate_bicubic_tuple_2d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4464671Z test_nn_interpolate_bicubic_tuple_2d_align_corners (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4465018Z test_nn_interpolate_bilinear_2d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4465343Z test_nn_interpolate_bilinear_2d_zero_dim (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4486859Z test_nn_interpolate_bilinear_scale_2d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4487249Z test_nn_interpolate_bilinear_scale_tuple_shared_2d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4487623Z test_nn_interpolate_bilinear_scale_tuple_skewed_2d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4488002Z test_nn_interpolate_bilinear_scale_tuple_skewed_2d_align_corners (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4488367Z test_nn_interpolate_bilinear_tuple_2d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4488720Z test_nn_interpolate_bilinear_tuple_2d_align_corners (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4489055Z test_nn_interpolate_linear_1d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4489392Z test_nn_interpolate_linear_1d_align_corners (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4489730Z test_nn_interpolate_linear_1d_zero_dim (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4490063Z test_nn_interpolate_linear_scale_1d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4490397Z test_nn_interpolate_linear_scale_1d_align_corners (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4490738Z test_nn_interpolate_linear_tuple_1d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4491068Z test_nn_interpolate_nearest_1d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4491398Z test_nn_interpolate_nearest_1d_zero_dim (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4491717Z test_nn_interpolate_nearest_2d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4492057Z test_nn_interpolate_nearest_2d_launch_configs (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4492405Z test_nn_interpolate_nearest_2d_zero_dim (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4492720Z test_nn_interpolate_nearest_3d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4493053Z test_nn_interpolate_nearest_3d_zero_dim (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4493390Z test_nn_interpolate_nearest_scale_1d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4493818Z test_nn_interpolate_nearest_scale_2d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4494141Z test_nn_interpolate_nearest_scale_3d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4494476Z test_nn_interpolate_nearest_tuple_1d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4494807Z test_nn_interpolate_nearest_tuple_2d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4495126Z test_nn_interpolate_nearest_tuple_3d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4495460Z test_nn_interpolate_trilinear_3d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4495850Z test_nn_interpolate_trilinear_3d_zero_dim (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4496192Z test_nn_interpolate_trilinear_scale_3d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4496534Z test_nn_interpolate_trilinear_scale_3d_align_corners (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4496889Z test_nn_interpolate_trilinear_tuple_3d (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4497245Z test_nn_interpolate_trilinear_tuple_3d_align_corners (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4497579Z test_nn_log_softmax_dim0 (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4497875Z test_nn_log_softmax_dim3 (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4498183Z test_nn_log_softmax_lastdim (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4498497Z test_nn_log_softmax_scalar (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4499006Z test_nn_log_softmax_spatial (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4499360Z test_nn_log_softmax_spatial_special (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4499717Z test_nn_multimarginloss_1d_input_0d_target_no_reduce (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4500066Z test_nn_softmax_functional_dim0 (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4500374Z test_nn_softmax_functional_dim3 (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4500700Z test_nn_softmax_functional_scalar (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4501017Z test_nn_softmax_lastdim (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4501313Z test_nn_softmax_lastdim_dtype (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4501623Z test_nn_softmax_spatial (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4501937Z test_nn_softmax_spatial_dtype (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4502256Z test_nn_softmax_spatial_special (__main__.TestJitGeneratedModule) ... ok (0.003s) 2022-11-23T01:39:57.4502581Z test_checkscriptassertraisesregex (jit.test_jit_utils.TestJitUtils) ... ok (0.002s) 2022-11-23T01:39:57.4502992Z test_get_callable_argument_names_hybrid (jit.test_jit_utils.TestJitUtils) ... skip: POSITIONAL_ONLY arguments are not supported before 3.8 (0.000s) 2022-11-23T01:39:57.4503390Z test_get_callable_argument_names_keyword_only (jit.test_jit_utils.TestJitUtils) ... ok (0.001s) 2022-11-23T01:39:57.4503794Z test_get_callable_argument_names_positional_only (jit.test_jit_utils.TestJitUtils) ... skip: POSITIONAL_ONLY arguments are not supported before 3.8 (0.000s) 2022-11-23T01:39:57.4504208Z test_get_callable_argument_names_positional_or_keyword (jit.test_jit_utils.TestJitUtils) ... ok (0.001s) 2022-11-23T01:39:57.4504569Z test_get_callable_argument_names_var_keyword (jit.test_jit_utils.TestJitUtils) ... ok (0.001s) 2022-11-23T01:39:57.4504925Z test_get_callable_argument_names_var_positional (jit.test_jit_utils.TestJitUtils) ... ok (0.001s) 2022-11-23T01:39:57.4505078Z test_no_tracer_warn_context_manager (jit.test_jit_utils.TestJitUtils) ... ok (0.001s) 2022-11-23T01:39:57.4505272Z test_comprehension_iterable (jit.test_list_dict.TestList) ... ok (0.020s) 2022-11-23T01:39:57.4505425Z test_comprehension_out_type_not_in_type (jit.test_list_dict.TestList) ... ok (0.008s) 2022-11-23T01:39:57.4505556Z test_comprehensions_basic (jit.test_list_dict.TestList) ... ok (0.008s) 2022-11-23T01:39:57.4505703Z test_comprehensions_basic_float (jit.test_list_dict.TestList) ... ok (0.008s) 2022-11-23T01:39:57.4505845Z test_comprehensions_two_comps (jit.test_list_dict.TestList) ... ok (0.010s) 2022-11-23T01:39:57.4505981Z test_copy_list_immutable (jit.test_list_dict.TestList) ... ok (0.004s) 2022-11-23T01:39:57.4506114Z test_copy_list_mutable (jit.test_list_dict.TestList) ... ok (0.004s) 2022-11-23T01:39:57.4506273Z test_del (jit.test_list_dict.TestList) ... ok (0.012s) 2022-11-23T01:39:57.4506410Z test_dict_keyword_is_correctly_typed (jit.test_list_dict.TestList) ... ok (0.005s) 2022-11-23T01:39:57.4506565Z test_dict_keyword_with_dict_comprehension (jit.test_list_dict.TestList) ... ok (0.006s) 2022-11-23T01:39:57.4506740Z test_dict_keyword_with_dict_comprehension_and_kwargs (jit.test_list_dict.TestList) ... ok (0.006s) 2022-11-23T01:39:57.4506904Z test_dict_keyword_with_empty_dict_comprehension (jit.test_list_dict.TestList) ... ok (0.003s) 2022-11-23T01:39:57.4507049Z test_dict_keyword_with_empty_iterable (jit.test_list_dict.TestList) ... ok (0.003s) 2022-11-23T01:39:57.4507214Z test_dict_keyword_with_internal_aggregate_function (jit.test_list_dict.TestList) ... ok (0.006s) 2022-11-23T01:39:57.4507356Z test_dict_keyword_with_iterable (jit.test_list_dict.TestList) ... ok (0.006s) 2022-11-23T01:39:57.4507496Z test_dict_keyword_with_kwargs (jit.test_list_dict.TestList) ... ok (0.005s) 2022-11-23T01:39:57.4507665Z test_dict_keyword_with_kwargs_using_container_values (jit.test_list_dict.TestList) ... ok (0.008s) 2022-11-23T01:39:57.4507793Z test_dict_keyword_with_mapping (jit.test_list_dict.TestList) ... ok (0.004s) 2022-11-23T01:39:57.4507946Z test_dict_keyword_with_mapping_and_kwargs (jit.test_list_dict.TestList) ... ok (0.005s) 2022-11-23T01:39:57.4508106Z test_dict_keyword_with_mismatched_annotations (jit.test_list_dict.TestList) ... ok (0.002s) 2022-11-23T01:39:57.4508341Z test_dict_keyword_with_nested_call (jit.test_list_dict.TestList) ... ok (0.006s) 2022-11-23T01:39:57.4508513Z test_dict_keyword_with_previously_declared_variable (jit.test_list_dict.TestList) ... ok (0.004s) 2022-11-23T01:39:57.4508691Z test_dict_keyword_with_previously_declared_variable_and_kwargs (jit.test_list_dict.TestList) ... ok (0.004s) 2022-11-23T01:39:57.4508828Z test_extend_list_immutable (jit.test_list_dict.TestList) ... ok (0.004s) 2022-11-23T01:39:57.4508964Z test_extend_list_mutable (jit.test_list_dict.TestList) ... ok (0.006s) 2022-11-23T01:39:57.4509072Z test_in_check (jit.test_list_dict.TestList) ... ok (0.014s) 2022-11-23T01:39:57.4509205Z test_list_bool_conversion (jit.test_list_dict.TestList) ... ok (0.020s) 2022-11-23T01:39:57.4509326Z test_list_count (jit.test_list_dict.TestList) ... ok (0.007s) 2022-11-23T01:39:57.4509466Z test_list_count_not_existing (jit.test_list_dict.TestList) ... ok (0.004s) 2022-11-23T01:39:57.4509591Z test_list_gather (jit.test_list_dict.TestList) ... ok (0.012s) 2022-11-23T01:39:57.4509718Z test_list_index (jit.test_list_dict.TestList) ... ok (0.007s) 2022-11-23T01:39:57.4509855Z test_list_index_not_existing (jit.test_list_dict.TestList) ... ok (0.018s) 2022-11-23T01:39:57.4509979Z test_list_keyword (jit.test_list_dict.TestList) ... ok (0.015s) 2022-11-23T01:39:57.4510085Z test_list_len (jit.test_list_dict.TestList) ... ok (0.006s) 2022-11-23T01:39:57.4510207Z test_list_literal (jit.test_list_dict.TestList) ... ok (0.013s) 2022-11-23T01:39:57.4510330Z test_list_none (jit.test_list_dict.TestList) ... ok (0.001s) 2022-11-23T01:39:57.4510451Z test_list_ops (jit.test_list_dict.TestList) ... ok (0.060s) 2022-11-23T01:39:57.4510574Z test_list_slice (jit.test_list_dict.TestList) ... ok (0.022s) 2022-11-23T01:39:57.4510730Z test_list_sort (jit.test_list_dict.TestList) ... ok (0.037s) 2022-11-23T01:39:57.4510866Z test_list_unification_hint (jit.test_list_dict.TestList) ... ok (0.002s) 2022-11-23T01:39:57.4510964Z test_list_variance (jit.test_list_dict.TestList) 2022-11-23T01:39:57.4511095Z `List[T1]` is not a subtype of `List[T2]`, even if `T1` is a ... ok (0.010s) 2022-11-23T01:39:57.4511218Z test_min_bool_list (jit.test_list_dict.TestList) ... ok (0.004s) 2022-11-23T01:39:57.4511340Z test_min_max_list (jit.test_list_dict.TestList) ... ok (0.063s) 2022-11-23T01:39:57.4511471Z test_min_max_single_list (jit.test_list_dict.TestList) ... ok (0.044s) 2022-11-23T01:39:57.4511605Z test_mutable_list_append (jit.test_list_dict.TestList) ... ok (0.005s) 2022-11-23T01:39:57.4511770Z test_mutable_list_append_2 (jit.test_list_dict.TestList) ... ok (0.005s) 2022-11-23T01:39:57.4511905Z test_mutable_list_append_if (jit.test_list_dict.TestList) ... ok (0.004s) 2022-11-23T01:39:57.4512035Z test_mutable_list_append_if_else (jit.test_list_dict.TestList) ... ok (0.005s) 2022-11-23T01:39:57.4512179Z test_mutable_list_append_loop (jit.test_list_dict.TestList) ... ok (0.005s) 2022-11-23T01:39:57.4512322Z test_mutable_list_append_loop_if (jit.test_list_dict.TestList) ... ok (0.007s) 2022-11-23T01:39:57.4512452Z test_mutable_list_clear (jit.test_list_dict.TestList) ... ok (0.004s) 2022-11-23T01:39:57.4512591Z test_mutable_list_clear_empty (jit.test_list_dict.TestList) ... ok (0.005s) 2022-11-23T01:39:57.4512733Z test_mutable_list_function_inline (jit.test_list_dict.TestList) ... ok (0.005s) 2022-11-23T01:39:57.4512865Z test_mutable_list_insert (jit.test_list_dict.TestList) ... ok (0.005s) 2022-11-23T01:39:57.4513018Z test_mutable_list_insert_neg_out_of_bounds (jit.test_list_dict.TestList) ... ok (0.007s) 2022-11-23T01:39:57.4513148Z test_mutable_list_insert_negative (jit.test_list_dict.TestList) ... ok (0.007s) 2022-11-23T01:39:57.4513296Z test_mutable_list_insert_out_of_bounds (jit.test_list_dict.TestList) ... ok (0.006s) 2022-11-23T01:39:57.4513434Z test_mutable_list_nested_loop (jit.test_list_dict.TestList) ... ok (0.008s) 2022-11-23T01:39:57.4513565Z test_mutable_list_pop (jit.test_list_dict.TestList) ... ok (0.005s) 2022-11-23T01:39:57.4513695Z test_mutable_list_pop2 (jit.test_list_dict.TestList) ... ok (0.005s) 2022-11-23T01:39:57.4513826Z test_mutable_list_pop_at (jit.test_list_dict.TestList) ... ok (0.005s) 2022-11-23T01:39:57.4513958Z test_mutable_list_pop_at2 (jit.test_list_dict.TestList) ... ok (0.006s) 2022-11-23T01:39:57.4514099Z test_mutable_list_pop_at_negative (jit.test_list_dict.TestList) ... ok (0.006s) 2022-11-23T01:39:57.4514232Z test_mutable_list_pop_at_negative2 (jit.test_list_dict.TestList) ... ok (0.006s) 2022-11-23T01:39:57.4514371Z test_mutable_list_pop_empty (jit.test_list_dict.TestList) ... ok (0.007s) 2022-11-23T01:39:57.4514507Z test_mutable_list_pop_slice (jit.test_list_dict.TestList) ... ok (0.005s) 2022-11-23T01:39:57.4514636Z test_mutable_list_remove (jit.test_list_dict.TestList) ... ok (0.008s) 2022-11-23T01:39:57.4514769Z test_mutable_list_remove2 (jit.test_list_dict.TestList) ... ok (0.004s) 2022-11-23T01:39:57.4514915Z test_mutable_list_remove_not_existing (jit.test_list_dict.TestList) ... ok (0.006s) 2022-11-23T01:39:57.4515054Z test_mutable_list_remove_tensor (jit.test_list_dict.TestList) ... ok (0.007s) 2022-11-23T01:39:57.4515184Z test_mutable_list_reverse (jit.test_list_dict.TestList) ... ok (0.004s) 2022-11-23T01:39:57.4515311Z test_mutable_list_reverse_empty (jit.test_list_dict.TestList) ... ok (0.004s) 2022-11-23T01:39:57.4515453Z test_mutable_tensor_list_reverse (jit.test_list_dict.TestList) ... ok (0.006s) 2022-11-23T01:39:57.4515596Z test_no_element_type_annotation (jit.test_list_dict.TestList) ... ok (0.003s) 2022-11-23T01:39:57.4515719Z test_slice_index (jit.test_list_dict.TestList) ... ok (0.029s) 2022-11-23T01:39:57.4515848Z test_tensor_list_count (jit.test_list_dict.TestList) ... ok (0.006s) 2022-11-23T01:39:57.4516024Z test_tensor_list_count_not_existing (jit.test_list_dict.TestList) ... ok (0.005s) 2022-11-23T01:39:57.4516152Z test_tensor_list_index (jit.test_list_dict.TestList) ... ok (0.005s) 2022-11-23T01:39:57.4516294Z test_tensor_list_index_not_existing (jit.test_list_dict.TestList) ... ok (0.019s) 2022-11-23T01:39:57.4516388Z test_to_list (jit.test_list_dict.TestList) 2022-11-23T01:39:57.4516506Z Unit tests for Tensor.tolist() function. ... ok (0.266s) 2022-11-23T01:39:57.4516616Z test_to_list_gpu (jit.test_list_dict.TestList) 2022-11-23T01:39:57.4516762Z GPU tests for Tensor.tolist() function. ... skip: CUDA is not available (0.002s) 2022-11-23T01:39:57.4516902Z test_bump_numeric_counter (jit.test_logging.TestLogging) ... ok (0.009s) 2022-11-23T01:39:57.4517098Z test_counter_aggregation (jit.test_logging.TestLogging) ... ok (0.007s) 2022-11-23T01:39:57.4517234Z test_logging_levels_set (jit.test_logging.TestLogging) ... ok (0.001s) 2022-11-23T01:39:57.4517377Z test_time_measurement_counter (jit.test_logging.TestLogging) ... ok (0.003s) 2022-11-23T01:39:57.4517519Z test_time_measurement_counter_script (jit.test_logging.TestLogging) ... ok (0.007s) 2022-11-23T01:39:57.4517661Z test_trace_numeric_counter (jit.test_logging.TestLogging) ... ok (0.006s) 2022-11-23T01:39:57.4517823Z test_always_alive_values (jit.test_freezing.TestMKLDNNReinplacing) ... ok (0.020s) 2022-11-23T01:39:57.4517979Z test_merge_liveness (jit.test_freezing.TestMKLDNNReinplacing) ... ok (0.011s) 2022-11-23T01:39:57.4518131Z test_successful (jit.test_freezing.TestMKLDNNReinplacing) ... ok (0.012s) 2022-11-23T01:39:57.4518297Z test_switch_inputs_to_inplace (jit.test_freezing.TestMKLDNNReinplacing) ... ok (0.010s) 2022-11-23T01:39:57.4518412Z test_broadcasting_list (jit.test_misc.TestMisc) 2022-11-23T01:39:57.4518544Z Test BroadcastingList and torch.nn._size_N_t alias ... ok (0.006s) 2022-11-23T01:39:57.4518666Z test_export_opnames_interface (jit.test_misc.TestMisc) ... ok (0.022s) 2022-11-23T01:39:57.4518791Z test_future_isinstance (jit.test_misc.TestMisc) ... ok (0.003s) 2022-11-23T01:39:57.4518911Z test_hacked_twin (jit.test_misc.TestMisc) ... ok (0.002s) 2022-11-23T01:39:57.4519021Z test_if_returning_any (jit.test_misc.TestMisc) 2022-11-23T01:39:57.4519145Z Check that an if statement can return different ... ok (0.006s) 2022-11-23T01:39:57.4519264Z test_joined_str (jit.test_misc.TestMisc) ... ok (0.004s) 2022-11-23T01:39:57.4519386Z test_kwarg_support (jit.test_misc.TestMisc) ... ok (0.008s) 2022-11-23T01:39:57.4519523Z test_legacy_tensor_constructor (jit.test_misc.TestMisc) ... ok (0.017s) 2022-11-23T01:39:57.4519636Z test_list_literal_infer (jit.test_misc.TestMisc) ... ok (0.009s) 2022-11-23T01:39:57.4519750Z test_math_inf (jit.test_misc.TestMisc) ... ok (0.003s) 2022-11-23T01:39:57.4519872Z test_parse_ir_annotate (jit.test_misc.TestMisc) ... ok (0.001s) 2022-11-23T01:39:57.4520019Z test_parse_ir_single_element_tensor_negative (jit.test_misc.TestMisc) ... ok (0.001s) 2022-11-23T01:39:57.4520169Z test_parse_ir_single_element_tensor_positive (jit.test_misc.TestMisc) ... ok (0.001s) 2022-11-23T01:39:57.4520294Z test_script_many_decorators (jit.test_misc.TestMisc) ... ok (0.003s) 2022-11-23T01:39:57.4520410Z test_str_refine_any (jit.test_misc.TestMisc) ... ok (0.003s) 2022-11-23T01:39:57.4520543Z test_subexpression_Dict_int_Future (jit.test_misc.TestMisc) ... ok (0.003s) 2022-11-23T01:39:57.4520671Z test_subexpression_Future_annotate (jit.test_misc.TestMisc) ... ok (0.003s) 2022-11-23T01:39:57.4520801Z test_subexpression_List_Future (jit.test_misc.TestMisc) ... ok (0.003s) 2022-11-23T01:39:57.4520933Z test_subexpression_Optional (jit.test_misc.TestMisc) ... ok (0.003s) 2022-11-23T01:39:57.4521071Z test_subexpression_Tuple_int_int_Future (jit.test_misc.TestMisc) ... ok (0.003s) 2022-11-23T01:39:57.4521201Z test_tuple_subscripted_assign (jit.test_misc.TestMisc) ... ok (0.002s) 2022-11-23T01:39:57.4521378Z test_call_script_fn_from_traced_module (jit.test_tracer.TestMixTracingScripting) ... ok (0.011s) 2022-11-23T01:39:57.4521584Z test_call_script_module_from_traced_module (jit.test_tracer.TestMixTracingScripting) ... ok (0.016s) 2022-11-23T01:39:57.4521751Z test_call_traced_fn_from_script_fn (jit.test_tracer.TestMixTracingScripting) ... ok (0.007s) 2022-11-23T01:39:57.4521913Z test_call_traced_mod_from_script_fn (jit.test_tracer.TestMixTracingScripting) ... ok (0.010s) 2022-11-23T01:39:57.4522089Z test_call_tracing_fn_from_script_module (jit.test_tracer.TestMixTracingScripting) ... ok (0.009s) 2022-11-23T01:39:57.4522265Z test_call_tracing_mod_from_script_module (jit.test_tracer.TestMixTracingScripting) ... ok (0.013s) 2022-11-23T01:39:57.4522437Z test_script_inline_trace_multiple_args (jit.test_tracer.TestMixTracingScripting) ... ok (0.011s) 2022-11-23T01:39:57.4522638Z test_trace_dict_mix_script (jit.test_tracer.TestMixTracingScripting) ... ok (0.044s) 2022-11-23T01:39:57.4522793Z test_trace_hierarchy (jit.test_tracer.TestMixTracingScripting) ... ok (0.026s) 2022-11-23T01:39:57.4522943Z test_trace_linear (jit.test_tracer.TestMixTracingScripting) ... ok (0.020s) 2022-11-23T01:39:57.4523121Z test_trace_mixed_by_script_with_dict_output (jit.test_tracer.TestMixTracingScripting) ... ok (0.011s) 2022-11-23T01:39:57.4523267Z test_trace_of_script (jit.test_tracer.TestMixTracingScripting) ... ok (0.011s) 2022-11-23T01:39:57.4523422Z test_trace_parameter (jit.test_tracer.TestMixTracingScripting) ... ok (0.024s) 2022-11-23T01:39:57.4523590Z test_trace_returning_dict_with_tensor_tuples (jit.test_tracer.TestMixTracingScripting) 2022-11-23T01:39:57.4523748Z Tracing over a module returning a dictionary whose values are tuples of tensors ... ok (0.012s) 2022-11-23T01:39:57.4523898Z test_trace_script (jit.test_tracer.TestMixTracingScripting) ... ok (0.155s) 2022-11-23T01:39:57.4524062Z test_trace_script_returning_complex_dict (jit.test_tracer.TestMixTracingScripting) 2022-11-23T01:39:57.4524207Z Tracing over a script function returning a dictionary should work. ... ok (0.027s) 2022-11-23T01:39:57.4524358Z test_trace_with_size (jit.test_tracer.TestMixTracingScripting) ... ok (0.008s) 2022-11-23T01:39:57.4524552Z test_traced_module_contains_scripted_interface_types (jit.test_tracer.TestMixTracingScripting) ... ok (0.044s) 2022-11-23T01:39:57.4524723Z test_traced_module_implements_interface (jit.test_tracer.TestMixTracingScripting) ... ok (0.029s) 2022-11-23T01:39:57.4524877Z test_tracing_indexing (jit.test_tracer.TestMixTracingScripting) ... ok (0.008s) 2022-11-23T01:39:57.4525030Z test_tracing_slicing (jit.test_tracer.TestMixTracingScripting) ... ok (0.008s) 2022-11-23T01:39:57.4525148Z test_alexnet (jit.test_models.TestModels) ... ok (0.976s) 2022-11-23T01:39:57.4525932Z test_dcgan_models (jit.test_models.TestModels) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/79142 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:39:57.4526082Z test_dcgan_models_cuda (jit.test_models.TestModels) ... skip: no CUDA (0.000s) 2022-11-23T01:39:57.4526197Z test_mnist (jit.test_models.TestModels) ... ok (0.378s) 2022-11-23T01:39:57.4526329Z test_mnist_cuda (jit.test_models.TestModels) ... skip: no CUDA (0.000s) 2022-11-23T01:39:57.4526490Z test_mnist_training_leaks_no_memory_cuda (jit.test_models.TestModels) ... skip: no CUDA (0.001s) 2022-11-23T01:39:57.4526674Z test_neural_style (jit.test_models.TestModels) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:57.4526813Z test_neural_style_cuda (jit.test_models.TestModels) ... skip: no CUDA (0.000s) 2022-11-23T01:39:57.4526954Z test_reinforcement_learning (jit.test_models.TestModels) ... ok (0.039s) 2022-11-23T01:39:57.4527107Z test_reinforcement_learning_cuda (jit.test_models.TestModels) ... skip: no CUDA (0.000s) 2022-11-23T01:39:57.4527348Z test_script_module_script_resnet (jit.test_models.TestModels) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.005s) 2022-11-23T01:39:57.4527559Z test_script_module_trace_resnet18 (jit.test_models.TestModels) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:57.4527737Z test_snli (jit.test_models.TestModels) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:57.4527868Z test_snli_cuda (jit.test_models.TestModels) ... skip: no CUDA (0.000s) 2022-11-23T01:39:57.4527996Z test_snli_quantized (jit.test_models.TestModels) ... ok (0.542s) 2022-11-23T01:39:57.4528183Z test_super_resolution (jit.test_models.TestModels) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:57.4528360Z test_super_resolution_cuda (jit.test_models.TestModels) ... skip: no CUDA (0.000s) 2022-11-23T01:39:57.4528497Z test_time_sequence_prediction (jit.test_models.TestModels) ... ok (0.138s) 2022-11-23T01:39:57.4528613Z test_vae (jit.test_models.TestModels) ... ok (0.205s) 2022-11-23T01:39:57.4528745Z test_vae_cuda (jit.test_models.TestModels) ... skip: no CUDA (0.000s) 2022-11-23T01:39:57.4528869Z test_vae_quantized (jit.test_models.TestModels) ... ok (0.101s) 2022-11-23T01:39:57.4529010Z test_customized_state_dict_methods (jit.test_module_apis.TestModuleAPIs) 2022-11-23T01:39:57.4529135Z Tests that customized state dict methods are in effect ... ok (0.052s) 2022-11-23T01:39:57.4529265Z test_default_state_dict_methods (jit.test_module_apis.TestModuleAPIs) 2022-11-23T01:39:57.4529408Z Tests that default state dict methods are automatically available ... ok (0.035s) 2022-11-23T01:39:57.4529566Z test_submodule_customized_state_dict_methods (jit.test_module_apis.TestModuleAPIs) 2022-11-23T01:39:57.4529708Z Tests that customized state dict methods on submodules are in effect ... ok (0.043s) 2022-11-23T01:39:57.4529885Z test_custom_container_forward (jit.test_module_containers.TestModuleContainers) ... ok (0.075s) 2022-11-23T01:39:57.4530068Z test_empty_dict_override_contains (jit.test_module_containers.TestModuleContainers) ... ok (0.021s) 2022-11-23T01:39:57.4530243Z test_module_inplace_construct (jit.test_module_containers.TestModuleContainers) ... ok (0.019s) 2022-11-23T01:39:57.4530431Z test_module_interface_special_methods (jit.test_module_containers.TestModuleContainers) ... ok (0.054s) 2022-11-23T01:39:57.4530590Z test_module_properties (jit.test_module_containers.TestModuleContainers) ... ok (0.031s) 2022-11-23T01:39:57.4530748Z test_moduledict (jit.test_module_containers.TestModuleContainers) ... ok (0.191s) 2022-11-23T01:39:57.4530913Z test_moduledict_getitem (jit.test_module_containers.TestModuleContainers) ... ok (0.034s) 2022-11-23T01:39:57.4531086Z test_moduledict_keyerror (jit.test_module_containers.TestModuleContainers) ... ok (0.012s) 2022-11-23T01:39:57.4531266Z test_normal_list_attribute_with_modules_error (jit.test_module_containers.TestModuleContainers) 2022-11-23T01:39:57.4531411Z Test that an attempt to script a module with a regular list attribute ... ok (0.003s) 2022-11-23T01:39:57.4531595Z test_parameterdict_script_getitem (jit.test_module_containers.TestModuleContainers) ... ok (0.014s) 2022-11-23T01:39:57.4531769Z test_parameterlist_script_getitem (jit.test_module_containers.TestModuleContainers) ... ok (0.068s) 2022-11-23T01:39:57.4531947Z test_parameterlist_script_iter (jit.test_module_containers.TestModuleContainers) ... ok (0.062s) 2022-11-23T01:39:57.4532118Z test_script_module_list_sequential (jit.test_module_containers.TestModuleContainers) ... ok (0.024s) 2022-11-23T01:39:57.4532291Z test_script_modulelist_index (jit.test_module_containers.TestModuleContainers) ... ok (0.109s) 2022-11-23T01:39:57.4532472Z test_sequential_intermediary_types (jit.test_module_containers.TestModuleContainers) ... ok (0.026s) 2022-11-23T01:39:57.4532645Z test_special_method_with_override (jit.test_module_containers.TestModuleContainers) ... ok (0.025s) 2022-11-23T01:39:57.4532829Z test_typed_module_dict (jit.test_module_containers.TestModuleContainers) 2022-11-23T01:39:57.4532986Z Test that a type annotation can be provided for a ModuleDict that allows ... ok (0.054s) 2022-11-23T01:39:57.4533139Z test_typed_module_list (jit.test_module_containers.TestModuleContainers) 2022-11-23T01:39:57.4533290Z Test that a type annotation can be provided for a ModuleList that allows ... ok (0.046s) 2022-11-23T01:39:57.4533488Z test_freeze_module_with_inplace_mutation_in_interface (jit.test_module_interface.TestModuleInterface) ... ok (0.016s) 2022-11-23T01:39:57.4533654Z test_freeze_module_with_interface (jit.test_module_interface.TestModuleInterface) ... ok (0.014s) 2022-11-23T01:39:57.4533869Z test_freeze_module_with_interface_and_fork (jit.test_module_interface.TestModuleInterface) ... ok (0.021s) 2022-11-23T01:39:57.4534053Z test_freeze_module_with_mutated_interface (jit.test_module_interface.TestModuleInterface) ... ok (0.017s) 2022-11-23T01:39:57.4534239Z test_freeze_module_with_setattr_in_interface (jit.test_module_interface.TestModuleInterface) ... ok (0.014s) 2022-11-23T01:39:57.4534404Z test_module_apis_interface (jit.test_module_interface.TestModuleInterface) ... ok (0.008s) 2022-11-23T01:39:57.4534567Z test_module_doc_string (jit.test_module_interface.TestModuleInterface) ... ok (0.016s) 2022-11-23T01:39:57.4534724Z test_module_interface (jit.test_module_interface.TestModuleInterface) ... ok (0.083s) 2022-11-23T01:39:57.4534901Z test_module_interface_inheritance (jit.test_module_interface.TestModuleInterface) ... ok (0.001s) 2022-11-23T01:39:57.4535063Z test_module_interface_subtype (jit.test_module_interface.TestModuleInterface) ... ok (0.034s) 2022-11-23T01:39:57.4535220Z test_module_swap (jit.test_module_interface.TestModuleInterface) ... ok (0.018s) 2022-11-23T01:39:57.4535393Z test_module_swap_no_lazy_compile (jit.test_module_interface.TestModuleInterface) ... ok (0.020s) 2022-11-23T01:39:57.4535573Z test_module_swap_no_module_interface (jit.test_module_interface.TestModuleInterface) ... ok (0.017s) 2022-11-23T01:39:57.4535741Z test_module_swap_wrong_module (jit.test_module_interface.TestModuleInterface) ... ok (0.014s) 2022-11-23T01:39:57.4535912Z test_not_submodule_interface_call (jit.test_module_interface.TestModuleInterface) ... ok (0.007s) 2022-11-23T01:39:57.4536089Z test_script_module_as_interface_swap (jit.test_module_interface.TestModuleInterface) ... ok (0.018s) 2022-11-23T01:39:57.4536229Z test_script_module_with_constants_list (jit.test_modules.TestModules) 2022-11-23T01:39:57.4536355Z Test that a module that has __constants__ set to something ... ok (0.009s) 2022-11-23T01:39:57.4536478Z test_namedtuple (jit.test_list_dict.TestNamedTuple) ... ok (0.005s) 2022-11-23T01:39:57.4536618Z test_namedtuple_as_attr (jit.test_list_dict.TestNamedTuple) ... ok (0.005s) 2022-11-23T01:39:57.4536760Z test_namedtuple_constant (jit.test_list_dict.TestNamedTuple) ... ok (0.003s) 2022-11-23T01:39:57.4536911Z test_namedtuple_kwarg_construct (jit.test_list_dict.TestNamedTuple) ... ok (0.004s) 2022-11-23T01:39:57.4537046Z test_namedtuple_lower (jit.test_list_dict.TestNamedTuple) ... ok (0.003s) 2022-11-23T01:39:57.4537192Z test_namedtuple_resolution (jit.test_list_dict.TestNamedTuple) ... ok (0.004s) 2022-11-23T01:39:57.4537386Z test_namedtuple_serialization (jit.test_list_dict.TestNamedTuple) ... skip: broken while these tests were not in CI (0.001s) 2022-11-23T01:39:57.4537534Z test_namedtuple_slice_unpack (jit.test_list_dict.TestNamedTuple) ... ok (0.004s) 2022-11-23T01:39:57.4537674Z test_namedtuple_type_annotation (jit.test_list_dict.TestNamedTuple) ... ok (0.003s) 2022-11-23T01:39:57.4537821Z test_namedtuple_wrong_types (jit.test_list_dict.TestNamedTuple) ... ok (0.002s) 2022-11-23T01:39:57.4537960Z test_return_named_tuple (jit.test_list_dict.TestNamedTuple) ... ok (0.004s) 2022-11-23T01:39:57.4538382Z test_adaptive_avg_pool2d (jit.test_backend_nnapi.TestNnapiBackend) ... /var/lib/jenkins/workspace/test/test_nnapi.py:14: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T01:39:57.4538460Z t = torch.tensor(t) 2022-11-23T01:39:57.4538522Z ok (0.180s) 2022-11-23T01:39:57.4538665Z test_avg_pool2d (jit.test_backend_nnapi.TestNnapiBackend) ... ok (1.191s) 2022-11-23T01:39:57.4538921Z test_cat (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.048s) 2022-11-23T01:39:57.4539074Z test_compile_spec_santiy (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.009s) 2022-11-23T01:39:57.4539203Z test_conv2d (jit.test_backend_nnapi.TestNnapiBackend) ... ok (3.018s) 2022-11-23T01:39:57.4539403Z test_conv2d_transpose (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.473s) 2022-11-23T01:39:57.4539542Z test_dequantize (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.018s) 2022-11-23T01:39:57.4539679Z test_detach (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.023s) 2022-11-23T01:39:57.4539814Z test_flatten (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.100s) 2022-11-23T01:39:57.4539953Z test_hardtanh (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.026s) 2022-11-23T01:39:57.4540087Z test_linear (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.026s) 2022-11-23T01:39:57.4540611Z test_log_softmax (jit.test_backend_nnapi.TestNnapiBackend) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py:1427: UserWarning: Implicit dimension choice for log_softmax has been deprecated. Change the call to include dim=X as an argument. 2022-11-23T01:39:57.4540695Z return forward_call(*input, **kwargs) 2022-11-23T01:39:57.4541085Z /opt/conda/lib/python3.7/site-packages/torch/jit/_trace.py:460: UserWarning: Implicit dimension choice for log_softmax has been deprecated. Change the call to include dim=X as an argument. 2022-11-23T01:39:57.4541194Z outs = wrap_retval(mod(*_clone_inputs(inputs))) 2022-11-23T01:39:57.4541260Z ok (0.039s) 2022-11-23T01:39:57.4541400Z test_max_pool2d (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.565s) 2022-11-23T01:39:57.4541531Z test_mean (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.068s) 2022-11-23T01:39:57.4541672Z test_multi_output (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.012s) 2022-11-23T01:39:57.4541820Z test_pointwise_binary (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.102s) 2022-11-23T01:39:57.4541971Z test_pointwise_binary_const (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.045s) 2022-11-23T01:39:57.4542110Z test_pointwise_unary (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.042s) 2022-11-23T01:39:57.4542243Z test_prelu (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.035s) 2022-11-23T01:39:57.4542383Z test_qadd (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.137s) 2022-11-23T01:39:57.4542517Z test_qlinear (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.092s) 2022-11-23T01:39:57.4542653Z test_quantize (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.013s) 2022-11-23T01:39:57.4542794Z test_reshape (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.028s) 2022-11-23T01:39:57.4542933Z test_seblock_mul (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.012s) 2022-11-23T01:39:57.4543057Z test_slice (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.044s) 2022-11-23T01:39:57.4543545Z test_softmax (jit.test_backend_nnapi.TestNnapiBackend) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py:1427: UserWarning: Implicit dimension choice for softmax has been deprecated. Change the call to include dim=X as an argument. 2022-11-23T01:39:57.4543638Z return forward_call(*input, **kwargs) 2022-11-23T01:39:57.4544017Z /opt/conda/lib/python3.7/site-packages/torch/jit/_trace.py:460: UserWarning: Implicit dimension choice for softmax has been deprecated. Change the call to include dim=X as an argument. 2022-11-23T01:39:57.4544126Z outs = wrap_retval(mod(*_clone_inputs(inputs))) 2022-11-23T01:39:57.4544187Z ok (0.033s) 2022-11-23T01:39:57.4544376Z test_tensor_input (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.019s) 2022-11-23T01:39:57.4544511Z test_to (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.030s) 2022-11-23T01:39:57.4544649Z test_unsqueeze (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.054s) 2022-11-23T01:39:57.4544793Z test_upsample_nearest2d (jit.test_backend_nnapi.TestNnapiBackend) ... ok (0.388s) 2022-11-23T01:39:57.4544968Z test_op_decomposition (jit.test_op_decompositions.TestOpDecompositions) ... ok (0.074s) 2022-11-23T01:39:57.4545158Z test_registered_decomposition (jit.test_op_decompositions.TestOpDecompositions) ... ok (0.007s) 2022-11-23T01:39:57.4545413Z test_fuse_activation_with_pack_ops_linear_conv2d_1 (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok (0.026s) 2022-11-23T01:39:57.4545701Z test_fuse_activation_with_pack_ops_linear_conv2d_2 (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok (0.026s) 2022-11-23T01:39:57.4545958Z test_fuse_activation_with_pack_ops_linear_conv2d_3 (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok (0.025s) 2022-11-23T01:39:57.4546204Z test_fuse_activation_with_pack_ops_linear_conv2d_4 (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok (0.041s) 2022-11-23T01:39:57.4546473Z test_insert_pre_packed_linear_before_inline_and_conv_2d_op (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok (0.020s) 2022-11-23T01:39:57.4546716Z test_insert_pre_packed_linear_op (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok (0.019s) 2022-11-23T01:39:57.4546959Z test_replace_conv1d_with_conv2d (jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo) ... ok (0.012s) 2022-11-23T01:39:57.4547114Z test_scriptable (jit.test_parametrization.TestParametrization) ... ok (0.033s) 2022-11-23T01:39:57.4547269Z test_traceable (jit.test_parametrization.TestParametrization) 2022-11-23T01:39:57.4547412Z Test the jit scripting and tracing of a parametrized model. ... ok (0.031s) 2022-11-23T01:39:57.4547554Z test_conv_dim_folding (jit.test_peephole.TestPeephole) ... ok (0.064s) 2022-11-23T01:39:57.4547700Z test_integer_refinement (jit.test_peephole.TestPeephole) ... ok (0.018s) 2022-11-23T01:39:57.4547840Z test_noop_peephole (jit.test_peephole.TestPeephole) ... ok (0.017s) 2022-11-23T01:39:57.4547981Z test_normalized_is_op (jit.test_peephole.TestPeephole) ... ok (0.005s) 2022-11-23T01:39:57.4548124Z test_normalized_isnot_op (jit.test_peephole.TestPeephole) ... ok (0.005s) 2022-11-23T01:39:57.4548333Z test_normalized_rsub (jit.test_peephole.TestPeephole) ... ok (0.006s) 2022-11-23T01:39:57.4548505Z test_optimize_out_comparison_same_value (jit.test_peephole.TestPeephole) ... ok (0.005s) 2022-11-23T01:39:57.4548640Z test_peephole (jit.test_peephole.TestPeephole) ... ok (0.009s) 2022-11-23T01:39:57.4548790Z test_peephole_add_zero (jit.test_peephole.TestPeephole) ... ok (0.003s) 2022-11-23T01:39:57.4548932Z test_peephole_arith (jit.test_peephole.TestPeephole) ... ok (0.005s) 2022-11-23T01:39:57.4549103Z test_peephole_cuda (jit.test_peephole.TestPeephole) ... skip: cpp tests require CUDA (0.001s) 2022-11-23T01:39:57.4549291Z test_peephole_dict_getitem_no_optimization_dict_modified (jit.test_peephole.TestPeephole) ... ok (0.003s) 2022-11-23T01:39:57.4549476Z test_peephole_dict_getitem_no_optimization_get_input_arg (jit.test_peephole.TestPeephole) ... ok (0.003s) 2022-11-23T01:39:57.4549670Z test_peephole_dict_getitem_no_optimization_keys_might_overlap (jit.test_peephole.TestPeephole) ... ok (0.003s) 2022-11-23T01:39:57.4549841Z test_peephole_dict_getitem_no_optimization_missing_key (jit.test_peephole.TestPeephole) ... ok (0.003s) 2022-11-23T01:39:57.4550032Z test_peephole_dict_getitem_no_optimization_overlapping_keys (jit.test_peephole.TestPeephole) ... ok (0.003s) 2022-11-23T01:39:57.4550257Z test_peephole_dict_getitem_no_optimization_unsupported_type (jit.test_peephole.TestPeephole) ... ok (0.004s) 2022-11-23T01:39:57.4550417Z test_peephole_dict_getitem_simple (jit.test_peephole.TestPeephole) ... ok (0.009s) 2022-11-23T01:39:57.4550559Z test_peephole_dict_len (jit.test_peephole.TestPeephole) ... ok (0.003s) 2022-11-23T01:39:57.4550745Z test_peephole_dict_len_no_optimization_keys_might_overlap (jit.test_peephole.TestPeephole) ... ok (0.003s) 2022-11-23T01:39:57.4550929Z test_peephole_dict_len_no_optimization_overlapping_keys (jit.test_peephole.TestPeephole) ... ok (0.003s) 2022-11-23T01:39:57.4551113Z test_peephole_dict_len_no_optimization_unsupported_type (jit.test_peephole.TestPeephole) ... ok (0.003s) 2022-11-23T01:39:57.4551288Z test_peephole_dynamic (jit.test_peephole.TestPeephole) ... ok (0.003s) 2022-11-23T01:39:57.4551414Z test_peephole_int (jit.test_peephole.TestPeephole) ... ok (0.003s) 2022-11-23T01:39:57.4551553Z test_peephole_len_list (jit.test_peephole.TestPeephole) ... ok (0.006s) 2022-11-23T01:39:57.4551693Z test_peephole_list_len (jit.test_peephole.TestPeephole) ... ok (0.043s) 2022-11-23T01:39:57.4551834Z test_peephole_list_ops (jit.test_peephole.TestPeephole) ... ok (0.013s) 2022-11-23T01:39:57.4551989Z test_peephole_no_output_aliasing (jit.test_peephole.TestPeephole) ... ok (0.005s) 2022-11-23T01:39:57.4552141Z test_peephole_optional_refine (jit.test_peephole.TestPeephole) ... ok (0.003s) 2022-11-23T01:39:57.4552297Z test_peephole_slice_all_three_args (jit.test_peephole.TestPeephole) ... ok (0.004s) 2022-11-23T01:39:57.4552452Z test_peephole_slice_one_empty_arg (jit.test_peephole.TestPeephole) ... ok (0.012s) 2022-11-23T01:39:57.4552630Z test_peephole_slice_optimization_not_applied_list_modified (jit.test_peephole.TestPeephole) ... ok (0.003s) 2022-11-23T01:39:57.4552819Z test_peephole_slice_optimization_not_applied_non_const_args (jit.test_peephole.TestPeephole) ... ok (0.003s) 2022-11-23T01:39:57.4552977Z test_peephole_slice_two_empty_args (jit.test_peephole.TestPeephole) ... ok (0.012s) 2022-11-23T01:39:57.4553132Z test_peephole_type_refinements (jit.test_peephole.TestPeephole) ... ok (0.011s) 2022-11-23T01:39:57.4553291Z test_peephole_with_non_output_writes (jit.test_peephole.TestPeephole) ... ok (0.006s) 2022-11-23T01:39:57.4553437Z test_peephole_with_writes (jit.test_peephole.TestPeephole) ... ok (0.005s) 2022-11-23T01:39:57.4553582Z test_refine_integer_values (jit.test_peephole.TestPeephole) ... ok (0.003s) 2022-11-23T01:39:57.4553737Z test_short_circuit_optimization (jit.test_peephole.TestPeephole) ... ok (0.006s) 2022-11-23T01:39:57.4553849Z test_version (__main__.TestProducerVersion) ... ok (0.001s) 2022-11-23T01:39:57.4553990Z test_aliasing_merge (jit.test_profiler.TestProfiler) ... ok (0.044s) 2022-11-23T01:39:57.4554141Z test_autograd_fallback_graph (jit.test_profiler.TestProfiler) ... ok (0.040s) 2022-11-23T01:39:57.4554300Z test_fallback_graph_not_specialized (jit.test_profiler.TestProfiler) ... ok (0.023s) 2022-11-23T01:39:57.4554442Z test_iterative_fusion (jit.test_profiler.TestProfiler) ... ok (0.044s) 2022-11-23T01:39:57.4554589Z test_local_fusion_strategy (jit.test_profiler.TestProfiler) ... ok (0.026s) 2022-11-23T01:39:57.4554732Z test_not_fusing_scalar_ops (jit.test_profiler.TestProfiler) ... ok (0.002s) 2022-11-23T01:39:57.4554883Z test_not_optimizing_property (jit.test_profiler.TestProfiler) ... ok (0.024s) 2022-11-23T01:39:57.4555016Z test_specialize_backward (jit.test_profiler.TestProfiler) ... ok (0.108s) 2022-11-23T01:39:57.4555160Z test_specialized_types (jit.test_profiler.TestProfiler) ... ok (0.023s) 2022-11-23T01:39:57.4555298Z test_tensor_constant (jit.test_profiler.TestProfiler) ... ok (0.023s) 2022-11-23T01:39:57.4555462Z test_tensor_type_not_determined_by_inputs (jit.test_profiler.TestProfiler) ... ok (0.050s) 2022-11-23T01:39:57.4555602Z test_use_not_profiled (jit.test_profiler.TestProfiler) ... ok (0.025s) 2022-11-23T01:39:57.4555789Z test_add_input (jit.test_python_bindings.TestPythonBindings) ... ok (0.001s) 2022-11-23T01:39:57.4555942Z test_aliasdb (jit.test_python_bindings.TestPythonBindings) ... ok (0.003s) 2022-11-23T01:39:57.4556101Z test_canonicalize (jit.test_python_bindings.TestPythonBindings) ... ok (0.001s) 2022-11-23T01:39:57.4556250Z test_cu_create_function (jit.test_python_bindings.TestPythonBindings) ... ok (0.004s) 2022-11-23T01:39:57.4556405Z test_cu_get_functions (jit.test_python_bindings.TestPythonBindings) ... ok (0.005s) 2022-11-23T01:39:57.4556552Z test_graph_create (jit.test_python_bindings.TestPythonBindings) ... ok (0.002s) 2022-11-23T01:39:57.4556724Z test_graph_iterator_keepalive (jit.test_python_bindings.TestPythonBindings) ... ok (0.003s) 2022-11-23T01:39:57.4556925Z test_invalidation (jit.test_python_bindings.TestPythonBindings) ... ok (0.003s) 2022-11-23T01:39:57.4557073Z test_add (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.008s) 2022-11-23T01:39:57.4557236Z test_adv_indexing_list (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.023s) 2022-11-23T01:39:57.4557402Z test_advancedindex (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.024s) 2022-11-23T01:39:57.4557543Z test_gather (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.004s) 2022-11-23T01:39:57.4557693Z test_index (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.028s) 2022-11-23T01:39:57.4557854Z test_index_ellipses (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.094s) 2022-11-23T01:39:57.4557998Z test_inf (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.006s) 2022-11-23T01:39:57.4558151Z test_matmul_py3 (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.007s) 2022-11-23T01:39:57.4558298Z test_mul (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.007s) 2022-11-23T01:39:57.4558442Z test_pow (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.036s) 2022-11-23T01:39:57.4558594Z test_random (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.003s) 2022-11-23T01:39:57.4558733Z test_slice (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.015s) 2022-11-23T01:39:57.4558904Z test_stepped_tuple_slicing (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.006s) 2022-11-23T01:39:57.4559059Z test_str_to_float (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.007s) 2022-11-23T01:39:57.4559211Z test_triple (jit.test_python_builtins.TestPythonBuiltinOP) ... ok (0.005s) 2022-11-23T01:39:57.4559346Z test_param_strides (jit.test_python_ir.TestPythonIr) ... ok (0.004s) 2022-11-23T01:39:57.4559502Z test_attributes (jit.test_recursive_script.TestRecursiveScript) ... ok (0.023s) 2022-11-23T01:39:57.4559662Z test_class_compile (jit.test_recursive_script.TestRecursiveScript) ... ok (0.013s) 2022-11-23T01:39:57.4559831Z test_constants_with_final (jit.test_recursive_script.TestRecursiveScript) ... ok (0.013s) 2022-11-23T01:39:57.4559978Z test_dir (jit.test_recursive_script.TestRecursiveScript) ... ok (0.069s) 2022-11-23T01:39:57.4560122Z test_error_stack (jit.test_recursive_script.TestRecursiveScript) ... ok (0.007s) 2022-11-23T01:39:57.4560291Z test_error_stack_annotation (jit.test_recursive_script.TestRecursiveScript) ... ok (0.004s) 2022-11-23T01:39:57.4560452Z test_error_stack_class (jit.test_recursive_script.TestRecursiveScript) ... ok (0.004s) 2022-11-23T01:39:57.4560613Z test_error_stack_module (jit.test_recursive_script.TestRecursiveScript) ... ok (0.012s) 2022-11-23T01:39:57.4560790Z test_failed_function_compilation (jit.test_recursive_script.TestRecursiveScript) ... ok (0.005s) 2022-11-23T01:39:57.4560970Z test_function_attribute_in_submodule (jit.test_recursive_script.TestRecursiveScript) ... ok (0.029s) 2022-11-23T01:39:57.4561128Z test_ignore_class (jit.test_recursive_script.TestRecursiveScript) ... ok (0.004s) 2022-11-23T01:39:57.4561291Z test_inferred_nonetype (jit.test_recursive_script.TestRecursiveScript) ... ok (0.007s) 2022-11-23T01:39:57.4561430Z test_init_error (jit.test_recursive_script.TestRecursiveScript) ... ok (0.001s) 2022-11-23T01:39:57.4561623Z test_inner_traced_module (jit.test_recursive_script.TestRecursiveScript) ... ok (0.018s) 2022-11-23T01:39:57.4561786Z test_iterable_modules (jit.test_recursive_script.TestRecursiveScript) ... ok (0.050s) 2022-11-23T01:39:57.4561940Z test_method_call (jit.test_recursive_script.TestRecursiveScript) ... ok (0.009s) 2022-11-23T01:39:57.4562096Z test_module_basic (jit.test_recursive_script.TestRecursiveScript) ... ok (0.014s) 2022-11-23T01:39:57.4562266Z test_module_function_export (jit.test_recursive_script.TestRecursiveScript) ... ok (0.016s) 2022-11-23T01:39:57.4562425Z test_module_name (jit.test_recursive_script.TestRecursiveScript) ... ok (0.004s) 2022-11-23T01:39:57.4562608Z test_module_repr (jit.test_recursive_script.TestRecursiveScript) ... ok (0.021s) 2022-11-23T01:39:57.4562756Z test_optional_module (jit.test_recursive_script.TestRecursiveScript) ... ok (0.020s) 2022-11-23T01:39:57.4562935Z test_override_instance_method_ignore (jit.test_recursive_script.TestRecursiveScript) ... ok (0.004s) 2022-11-23T01:39:57.4563110Z test_prepare_scriptable_basic (jit.test_recursive_script.TestRecursiveScript) ... ok (0.006s) 2022-11-23T01:39:57.4563285Z test_prepare_scriptable_cycle (jit.test_recursive_script.TestRecursiveScript) ... ok (0.004s) 2022-11-23T01:39:57.4563473Z test_prepare_scriptable_iterable_modules (jit.test_recursive_script.TestRecursiveScript) ... ok (0.053s) 2022-11-23T01:39:57.4563645Z test_python_function_attribute (jit.test_recursive_script.TestRecursiveScript) ... ok (0.007s) 2022-11-23T01:39:57.4563811Z test_repeated_error_stack (jit.test_recursive_script.TestRecursiveScript) ... ok (0.005s) 2022-11-23T01:39:57.4563974Z test_script_after_eval (jit.test_recursive_script.TestRecursiveScript) ... ok (0.008s) 2022-11-23T01:39:57.4564131Z test_script_basic (jit.test_recursive_script.TestRecursiveScript) ... ok (0.005s) 2022-11-23T01:39:57.4564291Z test_script_function_attribute (jit.test_recursive_script.TestRecursiveScript) ... ok (0.017s) 2022-11-23T01:39:57.4564447Z test_script_loaded_module (jit.test_recursive_script.TestRecursiveScript) 2022-11-23T01:39:57.4564589Z Test that we can hold a loaded ScriptModule as a submodule. ... ok (0.013s) 2022-11-23T01:39:57.4564744Z test_aten_inplace (jit.test_remove_mutation.TestRemoveMutation) ... ok (0.017s) 2022-11-23T01:39:57.4564910Z test_common_pytorch_list_ops (jit.test_remove_mutation.TestRemoveMutation) ... ok (0.030s) 2022-11-23T01:39:57.4565062Z test_if_output (jit.test_remove_mutation.TestRemoveMutation) ... ok (0.004s) 2022-11-23T01:39:57.4565218Z test_if_output_fail (jit.test_remove_mutation.TestRemoveMutation) ... ok (0.007s) 2022-11-23T01:39:57.4565383Z test_list_indexing_removal (jit.test_remove_mutation.TestRemoveMutation) ... ok (0.016s) 2022-11-23T01:39:57.4565525Z test_lists_append (jit.test_remove_mutation.TestRemoveMutation) ... ok (0.006s) 2022-11-23T01:39:57.4565677Z test_lists_insert (jit.test_remove_mutation.TestRemoveMutation) ... ok (0.004s) 2022-11-23T01:39:57.4565842Z test_special_mapped_op (jit.test_remove_mutation.TestRemoveMutation) ... ok (0.010s) 2022-11-23T01:39:57.4565974Z test_different_functions (jit.test_save_load.TestSaveLoad) 2022-11-23T01:39:57.4566113Z Exercise the situation where we have the same qualified name ... ok (0.024s) 2022-11-23T01:39:57.4566245Z test_different_interfaces (jit.test_save_load.TestSaveLoad) 2022-11-23T01:39:57.4566382Z Exercise the situation where we have the same qualified name ... ok (0.025s) 2022-11-23T01:39:57.4566507Z test_different_modules (jit.test_save_load.TestSaveLoad) 2022-11-23T01:39:57.4566633Z Exercise the situation where we have the same qualified name ... ok (0.036s) 2022-11-23T01:39:57.4566770Z test_many_collisions (jit.test_save_load.TestSaveLoad) ... ok (0.048s) 2022-11-23T01:39:57.4566898Z test_save_load_meta_tensors (jit.test_save_load.TestSaveLoad) 2022-11-23T01:39:57.4567057Z Check that parameters, buffers, and submodules are the same after loading ... ok (0.020s) 2022-11-23T01:39:57.4567231Z test_save_load_params_buffers_submodules (jit.test_save_load.TestSaveLoad) 2022-11-23T01:39:57.4567390Z Check that parameters, buffers, and submodules are the same after loading. ... ok (0.008s) 2022-11-23T01:39:57.4567537Z test_save_load_using_pathlib (jit.test_save_load.TestSaveLoad) ... ok (0.006s) 2022-11-23T01:39:57.4567684Z test_save_load_with_extra_files (jit.test_save_load.TestSaveLoad) ... ok (0.012s) 2022-11-23T01:39:57.4567807Z test_save_namedtuple_input_only (jit.test_save_load.TestSaveLoad) 2022-11-23T01:39:57.4567953Z Even if a NamedTuple is only used as an input argument, saving and ... ok (0.007s) 2022-11-23T01:39:57.4568089Z test_save_namedtuple_output_only (jit.test_save_load.TestSaveLoad) 2022-11-23T01:39:57.4568268Z Even if a NamedTuple is only used as an output argument, saving and ... ok (0.007s) 2022-11-23T01:39:57.4568406Z test_save_nonexit_file (jit.test_save_load.TestSaveLoad) ... ok (0.008s) 2022-11-23T01:39:57.4568556Z test_different_functions (jit.test_save_load.TestSaveLoadFlatbuffer) 2022-11-23T01:39:57.4568758Z Exercise the situation where we have the same qualified name ... skip: Need to enable flatbuffer to run the below tests (0.001s) 2022-11-23T01:39:57.4568909Z test_different_interfaces (jit.test_save_load.TestSaveLoadFlatbuffer) 2022-11-23T01:39:57.4569091Z Exercise the situation where we have the same qualified name ... skip: Need to enable flatbuffer to run the below tests (0.002s) 2022-11-23T01:39:57.4569237Z test_different_modules (jit.test_save_load.TestSaveLoadFlatbuffer) 2022-11-23T01:39:57.4569431Z Exercise the situation where we have the same qualified name ... skip: Need to enable flatbuffer to run the below tests (0.001s) 2022-11-23T01:39:57.4569648Z test_many_collisions (jit.test_save_load.TestSaveLoadFlatbuffer) ... skip: Need to enable flatbuffer to run the below tests (0.002s) 2022-11-23T01:39:57.4569868Z test_module_info_flatbuffer (jit.test_save_load.TestSaveLoadFlatbuffer) ... skip: Need to enable flatbuffer to run the below tests (0.001s) 2022-11-23T01:39:57.4570038Z test_save_load_params_buffers_submodules (jit.test_save_load.TestSaveLoadFlatbuffer) 2022-11-23T01:39:57.4570251Z Check that parameters, buffers, and submodules are the same after loading. ... skip: Need to enable flatbuffer to run the below tests (0.002s) 2022-11-23T01:39:57.4570470Z test_save_load_using_pathlib (jit.test_save_load.TestSaveLoadFlatbuffer) ... skip: Need to enable flatbuffer to run the below tests (0.001s) 2022-11-23T01:39:57.4570623Z test_save_load_with_extra_files (jit.test_save_load.TestSaveLoadFlatbuffer) 2022-11-23T01:39:57.4570830Z Check that parameters, buffers, and submodules are the same after loading. ... skip: Need to enable flatbuffer to run the below tests (0.001s) 2022-11-23T01:39:57.4570975Z test_save_namedtuple_input_only (jit.test_save_load.TestSaveLoadFlatbuffer) 2022-11-23T01:39:57.4571175Z Even if a NamedTuple is only used as an input argument, saving and ... skip: Need to enable flatbuffer to run the below tests (0.001s) 2022-11-23T01:39:57.4571334Z test_save_namedtuple_output_only (jit.test_save_load.TestSaveLoadFlatbuffer) 2022-11-23T01:39:57.4571534Z Even if a NamedTuple is only used as an output argument, saving and ... skip: Need to enable flatbuffer to run the below tests (0.000s) 2022-11-23T01:39:57.4571776Z test_versioned_div_scalar (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... Falsifying explicit example: test_versioned_div_scalar( 2022-11-23T01:39:57.4571974Z self=, 2022-11-23T01:39:57.4572060Z sample_input=(2, 3, 2.0, 3.0), 2022-11-23T01:39:57.4572121Z ) 2022-11-23T01:39:57.4572204Z skip: Failed to load fixture! (0.127s) 2022-11-23T01:39:57.4572402Z test_versioned_div_scalar_inplace (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (0.433s) 2022-11-23T01:39:57.4572603Z test_versioned_div_scalar_reciprocal (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (0.114s) 2022-11-23T01:39:57.4572826Z test_versioned_div_scalar_scalar (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (0.008s) 2022-11-23T01:39:57.4573016Z test_versioned_div_tensor (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (0.095s) 2022-11-23T01:39:57.4573214Z test_versioned_div_tensor_inplace (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (0.626s) 2022-11-23T01:39:57.4573406Z test_versioned_div_tensor_out (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (1.434s) 2022-11-23T01:39:57.4573591Z test_versioned_linspace (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (0.012s) 2022-11-23T01:39:57.4573813Z test_versioned_linspace_out (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (0.008s) 2022-11-23T01:39:57.4573986Z test_versioned_logspace (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (0.009s) 2022-11-23T01:39:57.4574175Z test_versioned_logspace_out (jit.test_save_load_for_op_version.TestSaveLoadForOpVersion) ... ok (0.009s) 2022-11-23T01:39:57.4574284Z test_add_out (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4574416Z test_add_tuple_different_types (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4574539Z test_add_tuple_non_optional (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:39:57.4574654Z test_add_tuple_optional (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4574770Z test_add_tuple_same_types (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4574856Z test_addmm_grad (__main__.TestScript) 2022-11-23T01:39:57.4574951Z This test checks several things: ... ok (0.005s) 2022-11-23T01:39:57.4575089Z test_alias_covariant_type_containers (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4575190Z test_all (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:39:57.4575310Z test_annot_ast_mypy_fn (__main__.TestScript) ... ok (0.021s) 2022-11-23T01:39:57.4575433Z test_annot_ast_mypy_method (__main__.TestScript) ... ok (0.035s) 2022-11-23T01:39:57.4575551Z test_annot_ast_py3_fn (__main__.TestScript) ... ok (0.030s) 2022-11-23T01:39:57.4575673Z test_annot_ast_py3_method (__main__.TestScript) ... ok (0.039s) 2022-11-23T01:39:57.4575793Z test_annot_string_mypy_fn (__main__.TestScript) ... ok (0.008s) 2022-11-23T01:39:57.4575907Z test_annot_string_mypy_method (__main__.TestScript) ... ok (0.035s) 2022-11-23T01:39:57.4576025Z test_annot_string_py3_fn (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4576152Z test_annot_string_py3_method (__main__.TestScript) ... ok (0.037s) 2022-11-23T01:39:57.4576272Z test_annotated_script_fn (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4576413Z test_annotated_script_fn_arg_mismatch (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:39:57.4576553Z test_annotated_script_fn_return_mismatch (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:39:57.4576680Z test_annotated_script_method (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4576802Z test_annoying_doubles (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4576892Z test_any (__main__.TestScript) ... ok (0.021s) 2022-11-23T01:39:57.4577029Z test_assert_is_scripting_metacompile (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4577163Z test_assertion_optional_refinement (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4577286Z test_attr_module_constants (__main__.TestScript) ... ok (0.022s) 2022-11-23T01:39:57.4577408Z test_attr_qscheme_script (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4577527Z test_attribute_in_init (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4577655Z test_attribute_serialization (__main__.TestScript) ... ok (0.012s) 2022-11-23T01:39:57.4577769Z test_attribute_unpickling (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:39:57.4577889Z test_augmented_assign (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4578021Z test_autodiff_complex (__main__.TestScript) ... skip: no CUDA (0.001s) 2022-11-23T01:39:57.4578174Z test_backend_cudnn_enabled (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4578307Z test_bad_multiline_annotations (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:39:57.4578450Z test_bailout_loop_carried_deps_name_clash (__main__.TestScript) ... ok (0.015s) 2022-11-23T01:39:57.4578588Z test_bailout_loop_counter_transition (__main__.TestScript) ... ok (0.014s) 2022-11-23T01:39:57.4578929Z test_batch_norm_inference_backward_cuda (__main__.TestScript) ... skip: running tests on cuda to verify cudnn fix (0.004s) 2022-11-23T01:39:57.4579096Z test_batchnorm_fuser_cpu (__main__.TestScript) ... ok (0.196s) 2022-11-23T01:39:57.4579287Z test_big_float_literals (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4579404Z test_big_int_literals (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4579527Z test_binary_op_shape (__main__.TestScript) ... ok (0.217s) 2022-11-23T01:39:57.4579641Z test_bitwise_ops (__main__.TestScript) ... ok (0.022s) 2022-11-23T01:39:57.4579774Z test_block_input_grad_in_loop (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4579907Z test_bool_augassign_bitwise_and (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4580039Z test_bool_augassign_bitwise_or (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4580155Z test_bool_augassign_bitwise_xor (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:39:57.4580275Z test_bool_dispatch (__main__.TestScript) ... ok (0.028s) 2022-11-23T01:39:57.4580422Z test_boolean_literal_constant_metacompile (__main__.TestScript) ... ok (0.014s) 2022-11-23T01:39:57.4580546Z test_break_continue_error (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:39:57.4580668Z test_breaks_continues (__main__.TestScript) ... ok (0.118s) 2022-11-23T01:39:57.4580783Z test_builtin_args (__main__.TestScript) ... ok (0.013s) 2022-11-23T01:39:57.4580946Z test_builtin_args_fails (__main__.TestScript) ... You have not run this instance of FileCheck! 2022-11-23T01:39:57.4581024Z FileCheck checks: 2022-11-23T01:39:57.4581366Z [W ir_emitter.cpp:4385] Warning: List consists of heterogeneous types, which means that it has been typed as containing Union[List[int], int]. To use any of the values in this List, it will be necessary to add an `assert isinstance` statement before first use to trigger type refinement. 2022-11-23T01:39:57.4581458Z File "test_jit.py", line 10806 2022-11-23T01:39:57.4581542Z @torch.jit.script 2022-11-23T01:39:57.4581609Z def f6(a): 2022-11-23T01:39:57.4581689Z a.expand(size=[3, [4]]) 2022-11-23T01:39:57.4581865Z ~~~~~~ <--- HERE 2022-11-23T01:39:57.4581956Z (function emitListLiteral) 2022-11-23T01:39:57.4582010Z ok (0.006s) 2022-11-23T01:39:57.4582143Z test_builtin_function_attributes (__main__.TestScript) ... ok (0.008s) 2022-11-23T01:39:57.4582262Z test_builtin_use_as_value (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:39:57.4582370Z test_call_ge (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4582504Z test_call_python_fn_from_script_fn (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4582646Z test_call_python_fn_from_script_module (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4582782Z test_call_python_fn_from_traced_module (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:39:57.4582922Z test_call_python_fn_from_tracing_fn (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4583043Z test_call_python_mod_from_script_fn (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:39:57.4583183Z test_call_python_mod_from_script_module (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4583326Z test_call_python_mod_from_traced_module (__main__.TestScript) ... ok (0.014s) 2022-11-23T01:39:57.4583463Z test_call_python_mod_from_tracing_fn (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:39:57.4583594Z test_call_script_fn_from_script_fn (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4583767Z test_call_script_fn_from_script_module (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:39:57.4583903Z test_call_script_fn_from_tracing_fn (__main__.TestScript) ... ok (0.008s) 2022-11-23T01:39:57.4584035Z test_call_script_mod_from_script_fn (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4584161Z test_call_script_mod_from_script_module (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:39:57.4584328Z test_call_script_mod_from_tracing_fn (__main__.TestScript) ... skip: error in first class mode (0.001s) 2022-11-23T01:39:57.4584462Z test_call_traced_fn_from_tracing_fn (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:39:57.4584629Z test_call_traced_mod_from_tracing_fn (__main__.TestScript) ... skip: error in first class mode (0.001s) 2022-11-23T01:39:57.4584946Z test_calls_in_type_annotations (__main__.TestScript) ... /opt/conda/lib/python3.7/site-packages/torch/__init__.py 2022-11-23T01:39:57.4585016Z ok (0.001s) 2022-11-23T01:39:57.4585153Z test_canonicalize_control_outputs (__main__.TestScript) ... ok (0.014s) 2022-11-23T01:39:57.4585360Z test_cast (__main__.TestScript) ... skip: RuntimeError: VariableType::ID() not implemented (0.001s) 2022-11-23T01:39:57.4585464Z test_cat (__main__.TestScript) ... ok (0.015s) 2022-11-23T01:39:57.4585561Z test_cat_lifts (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:39:57.4585663Z test_chr (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4585774Z test_circular_dependency (__main__.TestScript) 2022-11-23T01:39:57.4585917Z https://github.com/pytorch/pytorch/issues/25871 ... ok (0.030s) 2022-11-23T01:39:57.4586038Z test_class_as_attribute (__main__.TestScript) ... ok (0.014s) 2022-11-23T01:39:57.4586160Z test_class_attribute (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4586292Z test_class_attribute_in_script (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4586428Z test_class_with_comment_at_lower_indentation (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4586537Z test_code_with_constants (__main__.TestScript) 2022-11-23T01:39:57.4586710Z Check that the `code_with_constants` property correctly returns graph CONSTANTS in the ... ok (0.007s) 2022-11-23T01:39:57.4586829Z test_code_with_constants_restore (__main__.TestScript) 2022-11-23T01:39:57.4587010Z Check that the `code_with_constants` property correctly works on restoration after save() + load() ... ok (0.008s) 2022-11-23T01:39:57.4587136Z test_comment_ignore_indent (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4587265Z test_compare_two_bool_inputs (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4587466Z test_compile_module_with_constant (__main__.TestScript) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:57.4587578Z test_conditional_casting (__main__.TestScript) ... ok (0.056s) 2022-11-23T01:39:57.4587697Z test_constant_as_attr (__main__.TestScript) ... ok (0.008s) 2022-11-23T01:39:57.4587839Z test_constant_pooling_introduce_aliasing (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4587965Z test_constant_pooling_none (__main__.TestScript) ... ok (0.008s) 2022-11-23T01:39:57.4588103Z test_constant_pooling_same_identity (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4588294Z test_context_manager (__main__.TestScript) ... ok (0.016s) 2022-11-23T01:39:57.4588411Z test_conv_error (__main__.TestScript) ... ok (0.008s) 2022-11-23T01:39:57.4588526Z test_convert_base (__main__.TestScript) ... ok (0.021s) 2022-11-23T01:39:57.4588644Z test_cpp_function_tensor_str (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4588768Z test_cpp_module_iterator (__main__.TestScript) ... ok (0.011s) 2022-11-23T01:39:57.4588888Z test_desugar_module (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:39:57.4589002Z test_device_kwarg (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4589117Z test_device_type (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4589262Z test_device_type_cuda (__main__.TestScript) ... skip: Requires CUDA (0.000s) 2022-11-23T01:39:57.4589401Z test_dir (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:39:57.4589512Z test_divmod (__main__.TestScript) ... ok (0.031s) 2022-11-23T01:39:57.4589661Z test_dominated_bailout (__main__.TestScript) ... skip: bailouts are being deprecated (0.002s) 2022-11-23T01:39:57.4589780Z test_dropout_eval (__main__.TestScript) ... ok (0.163s) 2022-11-23T01:39:57.4589892Z test_dtype_attr (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4590012Z test_dtype_op_shape (__main__.TestScript) ... ok (0.036s) 2022-11-23T01:39:57.4590134Z test_dtype_op_shape2 (__main__.TestScript) ... ok (0.064s) 2022-11-23T01:39:57.4590256Z test_early_return_closure (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4590415Z test_early_return_fork_join (__main__.TestScript) ... ok (0.012s) 2022-11-23T01:39:57.4590524Z test_early_return_rewrite (__main__.TestScript) ... ok (0.036s) 2022-11-23T01:39:57.4590658Z test_early_return_type_refinement (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4590783Z test_early_returns_loops (__main__.TestScript) ... ok (0.050s) 2022-11-23T01:39:57.4590904Z test_ellipsis_const_end (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4591024Z test_ellipsis_const_mid (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4591152Z test_ellipsis_const_mid_select (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4591273Z test_ellipsis_const_start (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4591386Z test_ellipsis_end (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4591485Z test_ellipsis_mid (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4591608Z test_ellipsis_mid_select (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:39:57.4591725Z test_ellipsis_start (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4591858Z test_embedding_renorm_grad_error (__main__.TestScript) ... ok (0.017s) 2022-11-23T01:39:57.4591987Z test_empty_like_memory_format_bc (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4592107Z test_empty_tuple_str (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:39:57.4592236Z test_enumerate_modlist_range (__main__.TestScript) ... ok (0.034s) 2022-11-23T01:39:57.4592355Z test_erase_number_types (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4592446Z test_error (__main__.TestScript) ... ok (0.020s) 2022-11-23T01:39:57.4592563Z test_error_stacktrace (__main__.TestScript) ... ok (0.015s) 2022-11-23T01:39:57.4592696Z test_error_stacktrace_interface (__main__.TestScript) ... ok (0.030s) 2022-11-23T01:39:57.4592809Z test_eval_python (__main__.TestScript) ... ok (0.010s) 2022-11-23T01:39:57.4592937Z test_exception_exits_closure (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4593067Z test_exceptions_with_control_flow (__main__.TestScript) ... ok (0.037s) 2022-11-23T01:39:57.4593174Z test_expand (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4593263Z test_fibb (__main__.TestScript) ... ok (0.010s) 2022-11-23T01:39:57.4593386Z test_fibb_totally_better (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4593516Z test_file_format_serialization (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:39:57.4593634Z test_file_line_error (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:39:57.4593762Z test_file_line_error_class_defn (__main__.TestScript) ... ok (0.013s) 2022-11-23T01:39:57.4593881Z test_file_line_graph (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4593999Z test_file_line_save_load (__main__.TestScript) ... ok (0.011s) 2022-11-23T01:39:57.4594115Z test_file_line_string (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:39:57.4594220Z test_file_line_trace (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4594330Z test_filecheck (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4594448Z test_filecheck_parse (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:39:57.4594567Z test_first_class_calls (__main__.TestScript) ... ok (0.019s) 2022-11-23T01:39:57.4594714Z test_first_class_module (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4594827Z test_floor_div (__main__.TestScript) ... ok (0.010s) 2022-11-23T01:39:57.4594936Z test_floordiv (__main__.TestScript) ... ok (0.022s) 2022-11-23T01:39:57.4595030Z test_for_else (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:39:57.4595140Z test_for_in_dict (__main__.TestScript) ... ok (0.010s) 2022-11-23T01:39:57.4595256Z test_for_in_enumerate (__main__.TestScript) ... ok (0.032s) 2022-11-23T01:39:57.4595368Z test_for_in_range (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4595485Z test_for_in_range_ast (__main__.TestScript) ... ok (0.019s) 2022-11-23T01:39:57.4595647Z test_for_in_range_dynamic (__main__.TestScript) ... ok (0.019s) 2022-11-23T01:39:57.4595765Z test_for_in_range_if_ast (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:39:57.4595887Z test_for_in_range_start_end (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4596006Z test_for_in_range_start_end_step (__main__.TestScript) ... ok (0.016s) 2022-11-23T01:39:57.4596131Z test_for_in_range_zero_step (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4596245Z test_for_in_string (__main__.TestScript) ... ok (0.015s) 2022-11-23T01:39:57.4596360Z test_for_in_tensors (__main__.TestScript) ... ok (0.010s) 2022-11-23T01:39:57.4596490Z test_for_in_tensors_fail_scalar (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:39:57.4596611Z test_for_in_tensors_nested (__main__.TestScript) ... ok (0.011s) 2022-11-23T01:39:57.4596732Z test_for_in_tensors_rank0 (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:39:57.4596840Z test_for_in_zip (__main__.TestScript) ... ok (0.023s) 2022-11-23T01:39:57.4596951Z test_for_in_zip_enumerate (__main__.TestScript) ... ok (0.018s) 2022-11-23T01:39:57.4597069Z test_for_tuple_assign (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:39:57.4597185Z test_for_tuple_unpack (__main__.TestScript) ... ok (0.017s) 2022-11-23T01:39:57.4597290Z test_format (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:39:57.4597400Z test_func_call (__main__.TestScript) ... ok (0.016s) 2022-11-23T01:39:57.4597533Z test_function_compilation_caching (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4597664Z test_function_overload_misuse (__main__.TestScript) ... ok (0.016s) 2022-11-23T01:39:57.4597789Z test_function_overloading_isinstance (__main__.TestScript) ... ok (0.012s) 2022-11-23T01:39:57.4597914Z test_function_overloads (__main__.TestScript) ... ok (0.053s) 2022-11-23T01:39:57.4598118Z test_fuser_double_float_codegen (__main__.TestScript) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:39:57.4598256Z test_fuser_double_literal_precision (__main__.TestScript) ... ok (0.121s) 2022-11-23T01:39:57.4598381Z test_fuser_multiple_blocks (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4598505Z test_gather_dynamic_index (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4598629Z test_generic_list_errors (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:39:57.4598742Z test_get_set_state (__main__.TestScript) ... ok (0.032s) 2022-11-23T01:39:57.4598857Z test_get_set_state_with_tensors (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:39:57.4598975Z test_grad_from_script (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4599078Z test_hash (__main__.TestScript) ... ok (0.008s) 2022-11-23T01:39:57.4599193Z test_hex_literals (__main__.TestScript) ... ok (0.012s) 2022-11-23T01:39:57.4599293Z test_id (__main__.TestScript) ... ok (0.014s) 2022-11-23T01:39:57.4599391Z test_if (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4599503Z test_if_define (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:39:57.4599624Z test_if_different_type (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4599727Z test_if_for_in_range (__main__.TestScript) ... ok (0.010s) 2022-11-23T01:39:57.4599847Z test_if_is_none_dispatch (__main__.TestScript) ... ok (0.018s) 2022-11-23T01:39:57.4599985Z test_if_list_cat (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4600099Z test_if_nest_while (__main__.TestScript) ... ok (0.052s) 2022-11-23T01:39:57.4600208Z test_if_noelse (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:39:57.4600329Z test_if_not_defined_error (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4600443Z test_if_supertype (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4600550Z test_ignore_decorator (__main__.TestScript) ... ok (0.008s) 2022-11-23T01:39:57.4600665Z test_ignored_as_value (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:39:57.4600791Z test_ignored_method_binding (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4600936Z test_ignored_props (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4601076Z test_import_constants_not_specialized (__main__.TestScript) ... ok (0.011s) 2022-11-23T01:39:57.4601196Z test_in_for_and_comp_expr (__main__.TestScript) ... ok (0.011s) 2022-11-23T01:39:57.4601329Z test_in_operator_with_two_strings (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4601434Z test_index (__main__.TestScript) ... ok (0.085s) 2022-11-23T01:39:57.4601550Z test_index_select_shape_prop (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4601667Z test_index_with_tuple (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:39:57.4601785Z test_indexing_error (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:39:57.4601894Z test_infer_size (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4602000Z test_inferred_error_msg (__main__.TestScript) 2022-11-23T01:39:57.4602147Z Test that when we get a type mismatch on a function where we inferred ... ok (0.002s) 2022-11-23T01:39:57.4602265Z test_inherit_method (__main__.TestScript) ... ok (0.012s) 2022-11-23T01:39:57.4602473Z test_inline_and_run_annotated_script_fn (__main__.TestScript) ... skip: https://github.com/pytorch/pytorch/issues/9595 (0.001s) 2022-11-23T01:39:57.4602562Z test_inlined_graph (__main__.TestScript) 2022-11-23T01:39:57.4602716Z Check that the `inlined_graph` property correctly returns an inlined ... ok (0.012s) 2022-11-23T01:39:57.4602835Z test_inlining_cleanup (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4602949Z test_inplace_add (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4603073Z test_inplace_copy_script (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4603199Z test_input_keyword_in_schema (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4603307Z test_int_cast (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4603424Z test_integral_shape_inference (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:39:57.4603544Z test_interpret_graph (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:39:57.4603663Z test_interpreter_fuzz (__main__.TestScript) ... ok (0.309s) 2022-11-23T01:39:57.4603777Z test_intlist_args (__main__.TestScript) ... ok (0.013s) 2022-11-23T01:39:57.4603901Z test_invalid_call_arguments (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:39:57.4604027Z test_invalid_lhs_assignment (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:39:57.4604155Z test_invalid_prefix_annotation (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:39:57.4604264Z test_irparser (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:39:57.4604362Z test_is_after_use (__main__.TestScript) ... ok (0.011s) 2022-11-23T01:39:57.4604469Z test_is_isnot (__main__.TestScript) ... ok (0.042s) 2022-11-23T01:39:57.4604583Z test_is_optional (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:39:57.4604695Z test_is_scripting (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4604825Z test_is_scripting_metacompile (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4604940Z test_isinstance (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:39:57.4605060Z test_isinstance_dynamic (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4605174Z test_isinstance_metacompile (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4605330Z test_isinstance_refinement (__main__.TestScript) ... ok (0.014s) 2022-11-23T01:39:57.4605440Z test_jitter_bug (__main__.TestScript) ... ok (0.008s) 2022-11-23T01:39:57.4605547Z test_keyword (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4605671Z test_kwarg_expansion_error (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:39:57.4605788Z test_kwargs_error_msg (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4605899Z test_lazy_script (__main__.TestScript) ... ok (0.021s) 2022-11-23T01:39:57.4606037Z test_lhs_advanced_indexing_assignment (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:39:57.4606179Z test_lhs_advanced_indexing_augmented_assignment (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:39:57.4606322Z test_lhs_indexing (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4606447Z test_lhs_indexing_increment (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4606579Z test_lhs_indexing_increment_list (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4606719Z test_lhs_indexing_increment_list_prim (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4606839Z test_lhs_indexing_list (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4606960Z test_lhs_indexing_multi (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4607071Z test_linear_grad (__main__.TestScript) ... ok (0.014s) 2022-11-23T01:39:57.4607198Z test_list_comprehension_modulelist (__main__.TestScript) ... ok (0.052s) 2022-11-23T01:39:57.4607340Z test_list_comprehension_variable_write (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4607457Z test_list_iterables (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:39:57.4607575Z test_list_python_op (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:39:57.4607683Z test_list_unify (__main__.TestScript) ... ok (0.008s) 2022-11-23T01:39:57.4607791Z test_literal (__main__.TestScript) ... ok (0.021s) 2022-11-23T01:39:57.4607899Z test_literals (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4608013Z test_logical_short_circuit (__main__.TestScript) ... ok (0.023s) 2022-11-23T01:39:57.4608128Z test_loop_liveness (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4608251Z test_loop_unroll_negative (__main__.TestScript) ... ok (0.014s) 2022-11-23T01:39:57.4608382Z test_loop_unroll_unused_counter (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4608497Z test_loop_unrolling (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:39:57.4608617Z test_loop_unrolling_const (__main__.TestScript) ... ok (0.010s) 2022-11-23T01:39:57.4608741Z test_loop_unrolling_nested (__main__.TestScript) ... ok (0.059s) 2022-11-23T01:39:57.4608865Z test_lower_nested_tuples (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4608960Z test_math_ops (__main__.TestScript) ... ok (0.218s) 2022-11-23T01:39:57.4609131Z test_maxpool_guard_elimination (__main__.TestScript) ... skip: bailouts are being deprecated (0.001s) 2022-11-23T01:39:57.4609336Z test_meshgrid (__main__.TestScript) ... skip: Profiling executor fails to recognize that tensors in a list require gradients (0.001s) 2022-11-23T01:39:57.4609460Z test_method_casts_script (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4609575Z test_method_no_self (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4609696Z test_method_overloading (__main__.TestScript) ... ok (0.156s) 2022-11-23T01:39:57.4609815Z test_missing_getstate (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4609927Z test_mm_batching (__main__.TestScript) ... ok (0.527s) 2022-11-23T01:39:57.4610027Z test_module_apis (__main__.TestScript) ... ok (0.052s) 2022-11-23T01:39:57.4610143Z test_module_attrs (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4610274Z test_module_copy_with_attributes (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:39:57.4610391Z test_module_copying (__main__.TestScript) ... ok (0.017s) 2022-11-23T01:39:57.4610503Z test_module_error (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:39:57.4610663Z test_module_method_reassignment (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4610783Z test_module_none_attrs (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4610918Z test_module_parameters_and_buffers (__main__.TestScript) ... ok (0.027s) 2022-11-23T01:39:57.4611016Z test_module_str (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4611152Z test_module_with_params_called_fails (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4611270Z test_multi_reduction (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:39:57.4611394Z test_multi_starred_expr_lhs (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:39:57.4611554Z test_multiline_annot_ast_py3_fn (__main__.TestScript) ... ok (0.023s) 2022-11-23T01:39:57.4611697Z test_multiline_optional_future_refinement (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4611825Z test_multiline_string_dedents (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4611930Z test_multiple_assign (__main__.TestScript) ... ok (0.008s) 2022-11-23T01:39:57.4612055Z test_multiple_assignment (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4612167Z test_mutable_dce (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4612287Z test_mutable_dce_block (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4612416Z test_mutable_dce_graph_input (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4612558Z test_mutable_dce_indirect_wildcard_write (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:39:57.4612693Z test_mutable_dce_indirect_wildcards (__main__.TestScript) ... ok (0.008s) 2022-11-23T01:39:57.4612810Z test_mutable_dce_list (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4612917Z test_mutable_dce_loop (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4613042Z test_mutable_dce_wildcards (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:39:57.4613157Z test_mutate_constant (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4613277Z test_mypy_type_ignore (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4613409Z test_named_buffers_are_iterable (__main__.TestScript) ... ok (0.048s) 2022-11-23T01:39:57.4613528Z test_namedtuple_attr (__main__.TestScript) ... ok (0.008s) 2022-11-23T01:39:57.4613674Z test_namedtuple_default_values_Tensor_type (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:39:57.4613823Z test_namedtuple_default_values_container_type (__main__.TestScript) ... ok (0.013s) 2022-11-23T01:39:57.4613950Z test_namedtuple_default_values_missing (__main__.TestScript) ... ok (0.012s) 2022-11-23T01:39:57.4614096Z test_namedtuple_default_values_simple_type (__main__.TestScript) ... ok (0.012s) 2022-11-23T01:39:57.4614261Z test_namedtuple_default_values_using_factory_constructor (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4614385Z test_namedtuple_python (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:39:57.4614516Z test_namedtuple_type_inference (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4614630Z test_narrow_copy (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4614750Z test_nested_aug_assign (__main__.TestScript) ... ok (0.037s) 2022-11-23T01:39:57.4614867Z test_nested_bailouts (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:39:57.4614969Z test_nested_breaks (__main__.TestScript) ... ok (0.027s) 2022-11-23T01:39:57.4615093Z test_nested_list_construct (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4615217Z test_nested_select_assign (__main__.TestScript) ... ok (0.017s) 2022-11-23T01:39:57.4615321Z test_nn_GRU (__main__.TestScript) ... ok (0.109s) 2022-11-23T01:39:57.4615427Z test_nn_LSTM (__main__.TestScript) ... ok (0.125s) 2022-11-23T01:39:57.4615547Z test_nn_LSTM_with_layers (__main__.TestScript) ... ok (0.085s) 2022-11-23T01:39:57.4615653Z test_nn_init (__main__.TestScript) ... ok (0.034s) 2022-11-23T01:39:57.4615756Z test_no_dtype_shape (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4615914Z test_no_self_arg_ignore_function (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4616033Z test_non_final_return (__main__.TestScript) ... ok (0.088s) 2022-11-23T01:39:57.4616147Z test_none_type_str (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:39:57.4616249Z test_not (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4616371Z test_not_initialized_err (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:39:57.4616489Z test_ntuple_builtins (__main__.TestScript) ... ok (0.010s) 2022-11-23T01:39:57.4616599Z test_number_abs (__main__.TestScript) ... ok (0.013s) 2022-11-23T01:39:57.4616705Z test_number_augassign (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4616874Z test_number_augassign_bitwise_lshift (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4617007Z test_number_augassign_bitwise_pow (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4617144Z test_number_augassign_bitwise_rshift (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4617254Z test_number_div (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:39:57.4617368Z test_number_math (__main__.TestScript) ... ok (1.956s) 2022-11-23T01:39:57.4617478Z test_number_neg (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4617646Z test_old_models_bc (__main__.TestScript) ... skip: PyTorch is build without Caffe2 support (0.001s) 2022-11-23T01:39:57.4617746Z test_oneline_func (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4617855Z test_op_dtype (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4617979Z test_operator_precedence (__main__.TestScript) ... ok (0.008s) 2022-11-23T01:39:57.4618316Z test_optional_list (__main__.TestScript) ... skip: the current version of Profiler doesn't profile/specialize Optionals (0.001s) 2022-11-23T01:39:57.4618622Z test_optional_tensor (__main__.TestScript) ... skip: the current version of Profiler doesn't profile/specialize Optionals (0.001s) 2022-11-23T01:39:57.4618724Z test_ord (__main__.TestScript) ... ok (0.008s) 2022-11-23T01:39:57.4618966Z test_override_magic (__main__.TestScript) ... ok (0.011s) 2022-11-23T01:39:57.4619096Z test_pack_tuple_into_non_var (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:39:57.4619205Z test_pack_unpack_nested (__main__.TestScript) ... ok (0.029s) 2022-11-23T01:39:57.4619327Z test_pack_unpack_state (__main__.TestScript) ... ok (0.014s) 2022-11-23T01:39:57.4619483Z test_parameter_order (__main__.TestScript) ... tensor([ 0., 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12., 13., 2022-11-23T01:39:57.4619584Z 14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27., 2022-11-23T01:39:57.4619683Z 28., 29., 30., 31., 32., 33., 34., 35., 36., 37., 38., 39., 40., 41., 2022-11-23T01:39:57.4619776Z 42., 43., 44., 45., 46., 47., 48., 49., 50., 51.], 2022-11-23T01:39:57.4619863Z grad_fn=) 2022-11-23T01:39:57.4619968Z tensor([ 0., 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12., 13., 2022-11-23T01:39:57.4620055Z 14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27., 2022-11-23T01:39:57.4620150Z 28., 29., 30., 31., 32., 33., 34., 35., 36., 37., 38., 39., 40., 41., 2022-11-23T01:39:57.4620240Z 42., 43., 44., 45., 46., 47., 48., 49., 50., 51.], 2022-11-23T01:39:57.4620327Z grad_fn=) 2022-11-23T01:39:57.4620396Z ok (0.011s) 2022-11-23T01:39:57.4620533Z test_parse_empty_tuple_annotation (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:39:57.4620685Z test_parse_empty_tuple_annotation_element_error (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:39:57.4620793Z test_parse_nested_names (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:39:57.4620925Z test_parse_none_type_annotation (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:39:57.4621049Z test_parse_tensor_constants (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4621168Z test_parser_kwargonly (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:39:57.4621297Z test_parser_type_annotations (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:39:57.4621489Z test_parser_type_annotations_comment (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:39:57.4621653Z test_parser_type_annotations_incompatible_expression (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:39:57.4621805Z test_parser_type_annotations_subscript_non_ident (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:39:57.4621942Z test_parser_type_annotations_subscript_tensor (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:39:57.4622088Z test_parser_type_annotations_unknown_type (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:39:57.4622206Z test_partial_returns (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4622351Z test_pass (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4622478Z test_pickle_checkpoint (__main__.TestScript) ... ok (0.012s) 2022-11-23T01:39:57.4622619Z test_pickle_checkpoint_cuda (__main__.TestScript) ... skip: no CUDA (0.000s) 2022-11-23T01:39:57.4622749Z test_pickle_checkpoint_tup (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4622915Z test_pow_scalar_backward_cuda (__main__.TestScript) ... skip: device tests require CUDA (0.001s) 2022-11-23T01:39:57.4623027Z test_pretty_print_function (__main__.TestScript) ... ok (0.029s) 2022-11-23T01:39:57.4623202Z test_prim_grad_undefined (__main__.TestScript) ... skip: shape analysis is only enabled in Legacy (0.001s) 2022-11-23T01:39:57.4623309Z test_print (__main__.TestScript) ... ok (0.013s) 2022-11-23T01:39:57.4623423Z test_print_kwargs (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:39:57.4623596Z test_profiling_graph_executor (__main__.TestScript) ... skip: bailouts are being deprecated (0.001s) 2022-11-23T01:39:57.4623719Z test_profiling_merge (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4623852Z test_pybind_type_comparisons (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:39:57.4623965Z test_python_call (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4624080Z test_python_call_annotation (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4624216Z test_python_call_annoytation_failure (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:39:57.4624338Z test_python_call_failure (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4624462Z test_python_call_non_tensor (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:39:57.4624593Z test_python_call_non_tensor_wrong (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4624710Z test_python_frontend (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4624830Z test_python_frontend_py3 (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:39:57.4624961Z test_python_frontend_source_range (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:39:57.4625071Z test_python_op_builtins (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4625187Z test_python_op_name (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:39:57.4625318Z test_python_val_doesnt_have_attr (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:39:57.4625467Z test_rand (__main__.TestScript) ... skip: the original version of test_rand (0.001s) 2022-11-23T01:39:57.4625584Z test_rand_profiling (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4625694Z test_range_args (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:39:57.4625816Z test_reassign_module_lhs (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4625923Z test_reassign_module_rhs (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4626046Z test_refine_tuple_types (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:39:57.4626162Z test_remove_dropout (__main__.TestScript) ... ok (0.013s) 2022-11-23T01:39:57.4626296Z test_repeated_script_on_function (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4626412Z test_request_bailout (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4626566Z test_requires_grad_loop (__main__.TestScript) ... skip: Peeling is now disabled (0.001s) 2022-11-23T01:39:57.4626735Z test_rescripting_loaded_modules (__main__.TestScript) ... ok (0.027s) 2022-11-23T01:39:57.4626855Z test_resize_input_ops (__main__.TestScript) ... ok (0.010s) 2022-11-23T01:39:57.4626948Z test_return (__main__.TestScript) ... ok (0.015s) 2022-11-23T01:39:57.4627070Z test_return_stmt_not_at_end (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4627182Z test_return_tuple (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4627306Z test_robust_op_resolution (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4627410Z test_round (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4627531Z test_save_load_attr_error (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:39:57.4627681Z test_script_annotation (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4627803Z test_script_bool_constant (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4627903Z test_script_chunk (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4628022Z test_script_clamp_none (__main__.TestScript) ... ok (0.015s) 2022-11-23T01:39:57.4628139Z test_script_copy (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4628335Z test_script_cu (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:39:57.4628463Z test_script_define_order (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4628605Z test_script_define_order_recursive_fail (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4628726Z test_script_docstring (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:39:57.4628855Z test_script_forward_method_replacement (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:39:57.4629005Z test_script_get_device_cuda (__main__.TestScript) ... skip: requires CUDA (0.000s) 2022-11-23T01:39:57.4629139Z test_script_get_tracing_state (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4629259Z test_script_is_tracing (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:39:57.4629384Z test_script_kwargs_fn_call (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4629517Z test_script_method_docstring (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4629663Z test_script_method_torch_function_overload (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4629779Z test_script_module (__main__.TestScript) ... ok (0.019s) 2022-11-23T01:39:57.4629898Z test_script_module_call_noscript (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4630020Z test_script_module_const (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4630160Z test_script_module_const_submodule_fail (__main__.TestScript) ... ok (0.022s) 2022-11-23T01:39:57.4630293Z test_script_module_export_blocks (__main__.TestScript) ... ok (0.011s) 2022-11-23T01:39:57.4630913Z test_script_module_export_shared_storage (__main__.TestScript) ... /opt/conda/lib/python3.7/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:39:57.4631020Z warnings.warn(message, UserWarning) 2022-11-23T01:39:57.4631088Z ok (0.009s) 2022-11-23T01:39:57.4631224Z test_script_module_export_submodule (__main__.TestScript) ... ok (0.020s) 2022-11-23T01:39:57.4631404Z test_script_module_export_tensor_cuda (__main__.TestScript) ... skip: testing cuda tensors require CUDA (0.001s) 2022-11-23T01:39:57.4631529Z test_script_module_export_tensor_type (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:39:57.4631656Z test_script_module_fail_exist (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4631775Z test_script_module_for (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4631896Z test_script_module_for2 (__main__.TestScript) ... ok (0.034s) 2022-11-23T01:39:57.4632029Z test_script_module_invalid_consts (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4632168Z test_script_module_nochange_submodule (__main__.TestScript) ... ok (0.010s) 2022-11-23T01:39:57.4632574Z test_script_module_none_exist_fail (__main__.TestScript) ... skip: [module dedupe] currently NoneType refinement on optional attributes doesn't work. (0.001s) 2022-11-23T01:39:57.4632705Z test_script_module_not_tuple (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4632834Z test_script_module_param_buffer_mutation (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4632964Z test_script_module_star_assign2 (__main__.TestScript) ... ok (0.013s) 2022-11-23T01:39:57.4633103Z test_script_module_star_assign2_inplace (__main__.TestScript) ... ok (0.013s) 2022-11-23T01:39:57.4633246Z test_script_module_star_assign_fail_builtin (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4633436Z test_script_module_star_assign_fail_pythonop (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4633578Z test_script_module_tensor_subclass_argument (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4633704Z test_script_nested_mod_list (__main__.TestScript) ... ok (0.036s) 2022-11-23T01:39:57.4633841Z test_script_non_tensor_args_outputs (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4633951Z test_script_optional_none (__main__.TestScript) ... ok (0.013s) 2022-11-23T01:39:57.4634069Z test_script_outputs (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4634205Z test_script_pack_padded_sequence (__main__.TestScript) ... ok (0.037s) 2022-11-23T01:39:57.4634345Z test_script_pad_sequence_pack_sequence (__main__.TestScript) ... ok (0.070s) 2022-11-23T01:39:57.4634461Z test_script_scope (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:39:57.4634589Z test_script_sequential_for (__main__.TestScript) ... ok (0.034s) 2022-11-23T01:39:57.4634726Z test_script_sequential_in_mod_list (__main__.TestScript) ... ok (0.041s) 2022-11-23T01:39:57.4634867Z test_script_sequential_multi_output_fail (__main__.TestScript) ... ok (0.013s) 2022-11-23T01:39:57.4634989Z test_script_sequential_orderdict (__main__.TestScript) ... ok (0.030s) 2022-11-23T01:39:57.4635129Z test_script_sequential_sliced_iteration (__main__.TestScript) ... ok (0.032s) 2022-11-23T01:39:57.4635252Z test_script_star_assign (__main__.TestScript) ... ok (0.012s) 2022-11-23T01:39:57.4635371Z test_script_star_expr (__main__.TestScript) ... ok (0.022s) 2022-11-23T01:39:57.4635498Z test_script_star_expr_string (__main__.TestScript) ... ok (0.021s) 2022-11-23T01:39:57.4635621Z test_scriptable_fn_as_attr (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:39:57.4635773Z test_scriptmodule_multi_head_attn_cuda (__main__.TestScript) ... skip: no CUDA (0.001s) 2022-11-23T01:39:57.4635928Z test_scriptmodule_releases_tensors_cuda (__main__.TestScript) ... skip: no CUDA (0.001s) 2022-11-23T01:39:57.4636066Z test_scriptmodule_transformer_cuda (__main__.TestScript) ... skip: no CUDA (0.001s) 2022-11-23T01:39:57.4636186Z test_select_after_chunk (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4636306Z test_sequence_parsing (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4636443Z test_sequential_intermediary_types (__main__.TestScript) ... ok (0.027s) 2022-11-23T01:39:57.4636573Z test_serialization_big_ints (__main__.TestScript) ... ok (0.010s) 2022-11-23T01:39:57.4636698Z test_serialization_sharing (__main__.TestScript) ... ok (0.008s) 2022-11-23T01:39:57.4636821Z test_serialize_long_lines (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4636950Z test_serialized_source_ranges (__main__.TestScript) ... ok (0.019s) 2022-11-23T01:39:57.4637067Z test_serialized_source_ranges2 (__main__.TestScript) ... ok (0.012s) 2022-11-23T01:39:57.4637207Z test_serialized_source_ranges_dont_jitter (__main__.TestScript) ... ok (0.085s) 2022-11-23T01:39:57.4637343Z test_serialized_source_ranges_graph (__main__.TestScript) ... ok (0.013s) 2022-11-23T01:39:57.4637483Z test_serialized_source_ranges_no_dups (__main__.TestScript) ... ok (0.012s) 2022-11-23T01:39:57.4637620Z test_set_attribute_through_optional (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4637754Z test_shape_analysis_grad_property (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4637910Z test_shape_analysis_loop (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:39:57.4638033Z test_shape_prop_promote_scalar_arg (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4638157Z test_shape_prop_promotion (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4638277Z test_signed_float_zero (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:39:57.4638408Z test_single_starred_expr_for_loop (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:39:57.4638529Z test_single_starred_lhs (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:39:57.4638656Z test_singleton_tuple_unpack (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4638855Z test_slice_guard_elimination (__main__.TestScript) ... skip: bailouts are being deprecated (0.001s) 2022-11-23T01:39:57.4638961Z test_split (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4639050Z test_stack (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:39:57.4639171Z test_static_if_prop (__main__.TestScript) ... ok (0.068s) 2022-11-23T01:39:57.4639284Z test_static_method_on_module (__main__.TestScript) 2022-11-23T01:39:57.4639438Z Check that the `@staticmethod` annotation on a function on a module works. ... ok (0.008s) 2022-11-23T01:39:57.4639556Z test_static_methods (__main__.TestScript) ... ok (0.020s) 2022-11-23T01:39:57.4639663Z test_str_cast (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4639769Z test_string_cu (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:39:57.4639910Z test_string_device_implicit_conversion (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4640020Z test_string_frontend_elif (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4640133Z test_string_index (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4640243Z test_string_len (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4640354Z test_string_list (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4640472Z test_string_new_line (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:39:57.4640580Z test_string_ops (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4640693Z test_string_print (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4640802Z test_string_single_escape (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:39:57.4640918Z test_string_slicing (__main__.TestScript) ... ok (0.013s) 2022-11-23T01:39:57.4641028Z test_string_sort (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4641142Z test_string_sorted (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4641283Z test_submodule_attribute_serialization (__main__.TestScript) ... ok (0.018s) 2022-11-23T01:39:57.4641404Z test_submodule_twice (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4641505Z test_sum (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4641623Z test_sum_list_diff_elms (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4641726Z test_sum_list_empty (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4641844Z test_sum_list_literal (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4641954Z test_sum_list_one (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4642075Z test_sum_list_wrong_type (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:39:57.4642195Z test_sys_stdout_override (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4642496Z test_tensor_as_tensor_shape_prop (__main__.TestScript) ... skip: Simple Executor doesn't have any shapes to propagate (0.002s) 2022-11-23T01:39:57.4642610Z test_tensor_data (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4642757Z test_tensor_device (__main__.TestScript) ... skip: device tests require CUDA (0.001s) 2022-11-23T01:39:57.4642862Z test_tensor_dtype (__main__.TestScript) ... ok (0.015s) 2022-11-23T01:39:57.4642976Z test_tensor_grad (__main__.TestScript) ... ok (0.015s) 2022-11-23T01:39:57.4643099Z test_tensor_import_export (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:39:57.4643239Z test_tensor_len (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4643361Z test_tensor_number_math (__main__.TestScript) ... ok (0.549s) 2022-11-23T01:39:57.4643498Z test_tensor_number_math_cuda (__main__.TestScript) ... skip: No CUDA (0.000s) 2022-11-23T01:39:57.4643652Z test_tensor_requires_grad (__main__.TestScript) ... skip: testing legacy behavior (0.001s) 2022-11-23T01:39:57.4643765Z test_tensor_shape (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4644320Z test_tensor_subclasses (__main__.TestScript) ... /opt/conda/lib/python3.7/site-packages/torch/jit/annotations.py:309: UserWarning: TorchScript will treat type annotations of Tensor dtype-specific subtypes as if they are normal Tensors. dtype constraints are not enforced in compilation either. 2022-11-23T01:39:57.4644495Z warnings.warn("TorchScript will treat type annotations of Tensor " 2022-11-23T01:39:57.4644564Z ok (0.008s) 2022-11-23T01:39:57.4644674Z test_tensor_to (__main__.TestScript) ... ok (0.023s) 2022-11-23T01:39:57.4644790Z test_tensor_to_cpu (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:39:57.4644941Z test_tensor_to_cuda (__main__.TestScript) ... skip: device tests require CUDA (0.001s) 2022-11-23T01:39:57.4645091Z test_tensor_to_device (__main__.TestScript) ... skip: device tests require CUDA (0.001s) 2022-11-23T01:39:57.4645199Z test_ternary (__main__.TestScript) ... ok (0.008s) 2022-11-23T01:39:57.4645314Z test_ternary_module_type_hint (__main__.TestScript) ... ok (0.038s) 2022-11-23T01:39:57.4645443Z test_ternary_right_associative (__main__.TestScript) ... ok (0.008s) 2022-11-23T01:39:57.4645563Z test_ternary_static_if (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:39:57.4645674Z test_torch_any (__main__.TestScript) ... ok (0.017s) 2022-11-23T01:39:57.4645836Z test_torch_functional (__main__.TestScript) ... skip: Skipping while landing PR stack (0.003s) 2022-11-23T01:39:57.4645973Z test_torch_functional_tensordot_int (__main__.TestScript) ... ok (0.047s) 2022-11-23T01:39:57.4646111Z test_torch_functional_tensordot_list (__main__.TestScript) ... ok (0.008s) 2022-11-23T01:39:57.4646252Z test_torch_functional_tensordot_tensor (__main__.TestScript) ... ok (0.023s) 2022-11-23T01:39:57.4646379Z test_torch_functional_tensordot_tuple (__main__.TestScript) ... ok (0.008s) 2022-11-23T01:39:57.4646515Z test_torch_ignore_conversion_to_none (__main__.TestScript) ... ok (0.011s) 2022-11-23T01:39:57.4646634Z test_torch_manual_seed (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4646748Z test_torch_pow (__main__.TestScript) ... ok (0.033s) 2022-11-23T01:39:57.4647311Z test_torch_tensor_as_tensor (__main__.TestScript) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:470: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Copy.cpp:275.) 2022-11-23T01:39:57.4647404Z return callable(*args, **kwargs) 2022-11-23T01:39:57.4647472Z ok (0.565s) 2022-11-23T01:39:57.4647610Z test_torch_tensor_as_tensor_empty_list (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:39:57.4647723Z test_torch_tensor_bad_input (__main__.TestScript) ... ok (0.029s) 2022-11-23T01:39:57.4647847Z test_torch_tensor_dtype (__main__.TestScript) ... ok (0.011s) 2022-11-23T01:39:57.4647978Z test_torchscript_memoryformat (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4648109Z test_torchscript_multi_head_attn (__main__.TestScript) ... ok (0.081s) 2022-11-23T01:39:57.4648254Z test_torchscript_multi_head_attn_fast_path (__main__.TestScript) ... ok (0.163s) 2022-11-23T01:39:57.4648372Z test_training_param (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:39:57.4648494Z test_tuple_assignments (__main__.TestScript) ... ok (0.034s) 2022-11-23T01:39:57.4648611Z test_tuple_error_msg (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:39:57.4648720Z test_tuple_index_to_list (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:39:57.4648871Z test_tuple_indexing (__main__.TestScript) ... ok (0.021s) 2022-11-23T01:39:57.4648982Z test_tuple_len (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4649103Z test_tuple_nested_sort (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4649213Z test_tuple_sort (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4649333Z test_tuple_sort_reverse (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4649445Z test_tuple_sorted (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4649549Z test_tuple_to_opt_list (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4649682Z test_tuple_unsortable_diff_type (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4649845Z test_tuple_unsortable_element_type (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4649984Z test_tuple_unsortable_nested_diff_type (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4650101Z test_type_annotate (__main__.TestScript) ... ok (0.023s) 2022-11-23T01:39:57.4650229Z test_type_annotation_module (__main__.TestScript) ... ok (0.019s) 2022-11-23T01:39:57.4650351Z test_type_annotation_py3 (__main__.TestScript) ... ok (0.016s) 2022-11-23T01:39:57.4650471Z test_type_annotations (__main__.TestScript) ... ok (0.019s) 2022-11-23T01:39:57.4650596Z test_type_annotations_repeated_list (__main__.TestScript) ... ok (0.013s) 2022-11-23T01:39:57.4650727Z test_type_annotations_varargs (__main__.TestScript) ... ok (0.012s) 2022-11-23T01:39:57.4650847Z test_type_call_in_script (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:39:57.4650956Z test_type_cast (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4651081Z test_type_comments_in_body (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4651213Z test_type_inferred_from_empty_annotation (__main__.TestScript) 2022-11-23T01:39:57.4651399Z Test that the type inferred from an empty or missing annotation is Torch.Tensor wtih `inferred=true` ... ok (0.003s) 2022-11-23T01:39:57.4651624Z test_unbind (__main__.TestScript) ... skip: Profiling executor will be using different heuristics for constructing differentiable graphs (0.001s) 2022-11-23T01:39:57.4651728Z test_unfold_zero_dim (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4651848Z test_unicode_comments (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4651964Z test_uninitialized (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:39:57.4652079Z test_union_to_number (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4652195Z test_unknown_builtin (__main__.TestScript) ... ok (0.002s) 2022-11-23T01:39:57.4652325Z test_unmatched_type_annotation (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4652458Z test_unspecialized_any_binding (__main__.TestScript) ... ok (0.004s) 2022-11-23T01:39:57.4652630Z test_unsqueeze_guard_elimination (__main__.TestScript) ... skip: bailouts are being deprecated (0.001s) 2022-11-23T01:39:57.4652748Z test_unsupported_builtin_error (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:39:57.4652870Z test_unused_decorator (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4652999Z test_unwrap_optional_builtin (__main__.TestScript) ... ok (0.010s) 2022-11-23T01:39:57.4653114Z test_var_aug_assign (__main__.TestScript) ... ok (0.040s) 2022-11-23T01:39:57.4653227Z test_vararg_zeros (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4653363Z test_view_listconstruct_shape_prop (__main__.TestScript) ... ok (0.006s) 2022-11-23T01:39:57.4653480Z test_view_shape_prop (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4653589Z test_view_write (__main__.TestScript) ... ok (0.012s) 2022-11-23T01:39:57.4653697Z test_weak_cuda (__main__.TestScript) ... skip: no CUDA (0.001s) 2022-11-23T01:39:57.4653803Z test_where (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:39:57.4653917Z test_where_method (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4654020Z test_while (__main__.TestScript) ... ok (0.008s) 2022-11-23T01:39:57.4654132Z test_while_nest_if (__main__.TestScript) ... ok (0.041s) 2022-11-23T01:39:57.4654294Z test_while_nonexistent_cond_value (__main__.TestScript) ... ok (0.030s) 2022-11-23T01:39:57.4654423Z test_while_nonexistent_value (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:39:57.4654538Z test_while_write_outer_then_read (__main__.TestScript) ... ok (0.007s) 2022-11-23T01:39:57.4654659Z test_wrong_attr_lookup (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:39:57.4654783Z test_wrong_implicit_expand (__main__.TestScript) ... ok (0.005s) 2022-11-23T01:39:57.4654911Z test_wrong_method_call_inputs (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4655036Z test_wrong_module_attr_lookup (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:39:57.4655190Z test_wrong_return_type (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4655313Z test_wrong_use_as_callable (__main__.TestScript) ... ok (0.001s) 2022-11-23T01:39:57.4655432Z test_wrong_use_as_tuple (__main__.TestScript) ... ok (0.003s) 2022-11-23T01:39:57.4655526Z test_zeros (__main__.TestScript) ... ok (0.009s) 2022-11-23T01:39:57.4655656Z test_zip_enumerate_modulelist (__main__.TestScript) ... ok (0.455s) 2022-11-23T01:39:57.4655771Z test_bool (jit.test_list_dict.TestScriptDict) 2022-11-23T01:39:57.4655897Z Test the __bool__ method. This should return True ... ok (0.001s) 2022-11-23T01:39:57.4656016Z test_contains (jit.test_list_dict.TestScriptDict) 2022-11-23T01:39:57.4656136Z Test membership checks (x in y, x not in y). ... ok (0.001s) 2022-11-23T01:39:57.4656251Z test_delitem (jit.test_list_dict.TestScriptDict) 2022-11-23T01:39:57.4656334Z Test deletion. ... ok (0.001s) 2022-11-23T01:39:57.4656438Z test_getitem (jit.test_list_dict.TestScriptDict) 2022-11-23T01:39:57.4656576Z Test accessing dictionary values using the [] operator. ... ok (0.002s) 2022-11-23T01:39:57.4656689Z test_items (jit.test_list_dict.TestScriptDict) 2022-11-23T01:39:57.4656771Z Test .items(). ... ok (0.001s) 2022-11-23T01:39:57.4656882Z test_iter (jit.test_list_dict.TestScriptDict) 2022-11-23T01:39:57.4657063Z Test iteration over a dictionary's keys. ... ok (0.001s) 2022-11-23T01:39:57.4657174Z test_len (jit.test_list_dict.TestScriptDict) 2022-11-23T01:39:57.4657260Z Test len() builtin function. ... ok (0.001s) 2022-11-23T01:39:57.4657371Z test_nested (jit.test_list_dict.TestScriptDict) 2022-11-23T01:39:57.4657608Z Test that reference semantics are honoured when the ScriptDict that is ... skip: Cannot pass until all dicts returned from TorchScript are ScriptDicts (0.001s) 2022-11-23T01:39:57.4657739Z test_reference_semantics (jit.test_list_dict.TestScriptDict) 2022-11-23T01:39:57.4657890Z Test that reference semantics are honoured; that modifications made ... ok (0.004s) 2022-11-23T01:39:57.4658006Z test_repr (jit.test_list_dict.TestScriptDict) 2022-11-23T01:39:57.4658098Z Test the __repr__ method. ... ok (0.001s) 2022-11-23T01:39:57.4658210Z test_setitem (jit.test_list_dict.TestScriptDict) 2022-11-23T01:39:57.4658329Z Test setting dictionary values using the [] operator. ... ok (0.001s) 2022-11-23T01:39:57.4658445Z test_append (jit.test_list_dict.TestScriptList) 2022-11-23T01:39:57.4658535Z Test append method. ... ok (0.001s) 2022-11-23T01:39:57.4658645Z test_bool (jit.test_list_dict.TestScriptList) 2022-11-23T01:39:57.4658908Z Test the __bool__ method. This should return True ... ok (0.001s) 2022-11-23T01:39:57.4659087Z test_clear (jit.test_list_dict.TestScriptList) 2022-11-23T01:39:57.4659174Z Test clear. ... ok (0.001s) 2022-11-23T01:39:57.4659279Z test_contains (jit.test_list_dict.TestScriptList) 2022-11-23T01:39:57.4659398Z Test membership checks (x in y, x not in y). ... ok (0.001s) 2022-11-23T01:39:57.4659510Z test_count (jit.test_list_dict.TestScriptList) 2022-11-23T01:39:57.4659600Z Test count method. ... ok (0.001s) 2022-11-23T01:39:57.4659715Z test_delitem (jit.test_list_dict.TestScriptList) 2022-11-23T01:39:57.4659798Z Test deletion. ... ok (0.001s) 2022-11-23T01:39:57.4659912Z test_extend (jit.test_list_dict.TestScriptList) 2022-11-23T01:39:57.4659979Z Test extend. ... ok (0.002s) 2022-11-23T01:39:57.4660160Z test_getitem (jit.test_list_dict.TestScriptList) 2022-11-23T01:39:57.4660294Z Test accessing list elements using the [] operator. ... ok (0.004s) 2022-11-23T01:39:57.4660408Z test_insert (jit.test_list_dict.TestScriptList) 2022-11-23T01:39:57.4660490Z Test insert. ... ok (0.002s) 2022-11-23T01:39:57.4660603Z test_iter (jit.test_list_dict.TestScriptList) 2022-11-23T01:39:57.4660783Z Test iteration over a list's elements. ... ok (0.001s) 2022-11-23T01:39:57.4660880Z test_len (jit.test_list_dict.TestScriptList) 2022-11-23T01:39:57.4660979Z Test len() builtin function. ... ok (0.001s) 2022-11-23T01:39:57.4661136Z test_nested (jit.test_list_dict.TestScriptList) 2022-11-23T01:39:57.4661374Z Test that reference semantics are honoured when the ScriptList that is ... skip: Cannot pass until all list returned from TorchScript are ScriptLists (0.001s) 2022-11-23T01:39:57.4661487Z test_pop (jit.test_list_dict.TestScriptList) 2022-11-23T01:39:57.4661567Z Test pop. ... ok (0.002s) 2022-11-23T01:39:57.4661699Z test_reference_semantics (jit.test_list_dict.TestScriptList) 2022-11-23T01:39:57.4661851Z Test that reference semantics are honoured; that modifications made ... ok (0.004s) 2022-11-23T01:39:57.4661951Z test_remove (jit.test_list_dict.TestScriptList) 2022-11-23T01:39:57.4662039Z Test remove method. ... ok (0.001s) 2022-11-23T01:39:57.4662150Z test_repr (jit.test_list_dict.TestScriptList) 2022-11-23T01:39:57.4662246Z Test the __repr__ method. ... ok (0.001s) 2022-11-23T01:39:57.4662358Z test_setitem (jit.test_list_dict.TestScriptList) 2022-11-23T01:39:57.4662482Z Test setting list elements using the [] operator. ... ok (0.002s) 2022-11-23T01:39:57.4662755Z test_annotated_class_level_annotation_and_init_annotation (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.007s) 2022-11-23T01:39:57.4663014Z test_annotated_class_level_annotation_only (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.007s) 2022-11-23T01:39:57.4663253Z test_annotated_class_level_jit_annotation (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.007s) 2022-11-23T01:39:57.4663487Z test_annotated_empty_dict (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.007s) 2022-11-23T01:39:57.4663717Z test_annotated_empty_list (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.006s) 2022-11-23T01:39:57.4663959Z test_annotated_empty_optional (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.006s) 2022-11-23T01:39:57.4664195Z test_annotated_empty_tensor (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.007s) 2022-11-23T01:39:57.4664438Z test_annotated_falsy_base_type (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.007s) 2022-11-23T01:39:57.4664686Z test_annotated_nonempty_container (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.007s) 2022-11-23T01:39:57.4664927Z test_annotated_with_jit_attribute (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.007s) 2022-11-23T01:39:57.4665165Z test_annotated_with_jit_empty_dict (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.006s) 2022-11-23T01:39:57.4665391Z test_annotated_with_jit_empty_list (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.005s) 2022-11-23T01:39:57.4665637Z test_annotated_with_jit_empty_optional (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.005s) 2022-11-23T01:39:57.4665883Z test_annotated_with_torch_jit_import (jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation) ... ok (0.005s) 2022-11-23T01:39:57.4666030Z test_basic (jit.test_script_profile.TestScriptProfile) ... ok (0.071s) 2022-11-23T01:39:57.4666175Z test_empty (jit.test_script_profile.TestScriptProfile) ... ok (0.001s) 2022-11-23T01:39:57.4666348Z test_multi (jit.test_script_profile.TestScriptProfile) ... ok (0.072s) 2022-11-23T01:39:57.4666496Z test_script (jit.test_script_profile.TestScriptProfile) ... ok (0.057s) 2022-11-23T01:39:57.4666644Z test_section (jit.test_script_profile.TestScriptProfile) ... ok (0.217s) 2022-11-23T01:39:57.4666774Z test_module_list_slicing (jit.test_slice.TestSlice) ... ok (0.022s) 2022-11-23T01:39:57.4666889Z test_slice_as_variable (jit.test_slice.TestSlice) ... ok (0.004s) 2022-11-23T01:39:57.4667017Z test_slice_dynamic_index (jit.test_slice.TestSlice) ... ok (0.005s) 2022-11-23T01:39:57.4667138Z test_slice_kwarg (jit.test_slice.TestSlice) ... ok (0.002s) 2022-11-23T01:39:57.4667297Z test_slice_one_none (jit.test_slice.TestSlice) ... ok (0.005s) 2022-11-23T01:39:57.4667423Z test_slice_start_stop (jit.test_slice.TestSlice) ... ok (0.004s) 2022-11-23T01:39:57.4667557Z test_slice_start_stop_step (jit.test_slice.TestSlice) ... ok (0.005s) 2022-11-23T01:39:57.4667696Z test_slice_start_stop_with_none (jit.test_slice.TestSlice) ... ok (0.004s) 2022-11-23T01:39:57.4667828Z test_slice_stop_clipped (jit.test_slice.TestSlice) ... ok (0.005s) 2022-11-23T01:39:57.4667940Z test_slice_stop_only (jit.test_slice.TestSlice) ... ok (0.005s) 2022-11-23T01:39:57.4668075Z test_slice_stop_only_with_nones (jit.test_slice.TestSlice) ... ok (0.005s) 2022-11-23T01:39:57.4668274Z test_slice_string (jit.test_slice.TestSlice) ... ok (0.004s) 2022-11-23T01:39:57.4668405Z test_slice_tensor (jit.test_slice.TestSlice) ... ok (0.005s) 2022-11-23T01:39:57.4668539Z test_slice_tensor_multidim (jit.test_slice.TestSlice) ... ok (0.005s) 2022-11-23T01:39:57.4668686Z test_slice_tensor_multidim_with_dots (jit.test_slice.TestSlice) ... ok (0.005s) 2022-11-23T01:39:57.4668814Z test_slice_three_nones (jit.test_slice.TestSlice) ... ok (0.005s) 2022-11-23T01:39:57.4668923Z test_slice_two_nones (jit.test_slice.TestSlice) ... ok (0.005s) 2022-11-23T01:39:57.4669050Z test_tuple_slicing (jit.test_slice.TestSlice) ... ok (0.006s) 2022-11-23T01:39:57.4669189Z test_freeze_sparse_coo (jit.test_sparse.TestSparse) ... ok (0.008s) 2022-11-23T01:39:57.4669324Z test_freeze_sparse_csr (jit.test_sparse.TestSparse) ... ok (0.008s) 2022-11-23T01:39:57.4669463Z test_serialize_sparse_coo (jit.test_sparse.TestSparse) ... ok (0.007s) 2022-11-23T01:39:57.4669598Z test_serialize_sparse_csr (jit.test_sparse.TestSparse) ... ok (0.007s) 2022-11-23T01:39:57.4669771Z test_modulo_operator (jit.test_string_formatting.TestStringFormatting) ... ok (0.004s) 2022-11-23T01:39:57.4669990Z test_string_interpolation_with_alternate_digit_placeholder (jit.test_string_formatting.TestStringFormatting) ... ok (0.003s) 2022-11-23T01:39:57.4670231Z test_string_interpolation_with_capital_exponent_placeholder_and_digit_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.003s) 2022-11-23T01:39:57.4670438Z test_string_interpolation_with_char_placeholder_and_char_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.003s) 2022-11-23T01:39:57.4670666Z test_string_interpolation_with_char_placeholder_and_digit_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.003s) 2022-11-23T01:39:57.4670892Z test_string_interpolation_with_char_placeholder_and_true_string_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.007s) 2022-11-23T01:39:57.4671115Z test_string_interpolation_with_digit_placeholder_and_digit_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.003s) 2022-11-23T01:39:57.4671338Z test_string_interpolation_with_digit_placeholder_and_string_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.007s) 2022-11-23T01:39:57.4671546Z test_string_interpolation_with_double_percent_in_string (jit.test_string_formatting.TestStringFormatting) ... ok (0.005s) 2022-11-23T01:39:57.4671774Z test_string_interpolation_with_exponent_placeholder_and_string_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.007s) 2022-11-23T01:39:57.4672034Z test_string_interpolation_with_float_placeholder_and_digit_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.003s) 2022-11-23T01:39:57.4672255Z test_string_interpolation_with_float_placeholder_and_float_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.003s) 2022-11-23T01:39:57.4672491Z test_string_interpolation_with_lowercase_exponent_placeholder_and_digit_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.003s) 2022-11-23T01:39:57.4672684Z test_string_interpolation_with_multiple_placeholders (jit.test_string_formatting.TestStringFormatting) ... ok (0.004s) 2022-11-23T01:39:57.4672884Z test_string_interpolation_with_percent_in_string (jit.test_string_formatting.TestStringFormatting) ... ok (0.007s) 2022-11-23T01:39:57.4673150Z test_string_interpolation_with_string_placeholder_and_digit_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.003s) 2022-11-23T01:39:57.4673379Z test_string_interpolation_with_string_placeholder_and_format_string_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.003s) 2022-11-23T01:39:57.4673603Z test_string_interpolation_with_string_placeholder_and_string_variable (jit.test_string_formatting.TestStringFormatting) ... ok (0.003s) 2022-11-23T01:39:57.4673798Z test_string_interpolation_with_subscript (jit.test_string_formatting.TestStringFormatting) ... ok (0.004s) 2022-11-23T01:39:57.4673999Z test_string_interpolation_with_too_few_arguments (jit.test_string_formatting.TestStringFormatting) ... ok (0.007s) 2022-11-23T01:39:57.4674198Z test_string_interpolation_with_too_many_arguments (jit.test_string_formatting.TestStringFormatting) ... ok (0.007s) 2022-11-23T01:39:57.4674404Z test_string_interpolation_with_unknown_format_specifier (jit.test_string_formatting.TestStringFormatting) ... ok (0.007s) 2022-11-23T01:39:57.4674599Z test_adaptive_avg_pool2d (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.025s) 2022-11-23T01:39:57.4674773Z test_arange_shape (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.018s) 2022-11-23T01:39:57.4674970Z test_binary_shape_fns_inplace (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.005s) 2022-11-23T01:39:57.4675161Z test_binary_shape_functions (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.005s) 2022-11-23T01:39:57.4675354Z test_convolution_backward (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.014s) 2022-11-23T01:39:57.4675541Z test_if_propagation (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.004s) 2022-11-23T01:39:57.4675735Z test_partial_eval_graph_conv (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.011s) 2022-11-23T01:39:57.4675931Z test_partial_eval_stitching (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.036s) 2022-11-23T01:39:57.4676143Z test_refinement_through_graph_stitching (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.022s) 2022-11-23T01:39:57.4676349Z test_register_function_error_checking (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.012s) 2022-11-23T01:39:57.4676537Z test_returning_input_symbolic_shapes (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.009s) 2022-11-23T01:39:57.4676725Z test_shape_analysis (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.008s) 2022-11-23T01:39:57.4676908Z test_shape_concat (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.096s) 2022-11-23T01:39:57.4677099Z test_shape_embedding_bag (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.018s) 2022-11-23T01:39:57.4677342Z test_shape_function_includes (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... skip: shape functions not loaded in python (0.001s) 2022-11-23T01:39:57.4677533Z test_shared_shape_graph (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.001s) 2022-11-23T01:39:57.4677748Z test_size_and_sizes (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.005s) 2022-11-23T01:39:57.4677938Z test_stitching_concat (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.024s) 2022-11-23T01:39:57.4678131Z test_stitching_multi_output (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.019s) 2022-11-23T01:39:57.4678302Z test_sym_ir_parsing (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.001s) 2022-11-23T01:39:57.4678496Z test_unary_shape_fns_inplace (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.002s) 2022-11-23T01:39:57.4678717Z test_unary_shape_functions (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.003s) 2022-11-23T01:39:57.4678889Z test_write (jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis) ... ok (0.003s) 2022-11-23T01:39:57.4679040Z test_method_on_number (jit.test_builtins.TestTensorBuiltins) ... ok (0.002s) 2022-11-23T01:39:57.4679206Z test_scalar_to_num_conversions (jit.test_builtins.TestTensorBuiltins) ... ok (0.012s) 2022-11-23T01:39:57.4679352Z test_tensor_item (jit.test_builtins.TestTensorBuiltins) ... ok (0.006s) 2022-11-23T01:39:57.4679503Z test_tensor_properties (jit.test_builtins.TestTensorBuiltins) ... ok (0.015s) 2022-11-23T01:39:57.4679663Z test_tensor_subscript_assign (jit.test_builtins.TestTensorBuiltins) ... ok (0.033s) 2022-11-23T01:39:57.4679837Z test_tensor_subscript_assign_device (jit.test_builtins.TestTensorBuiltins) ... skip: requires CUDA (0.000s) 2022-11-23T01:39:57.4680013Z test_randperm_default_dtype (jit.test_tensor_creation_ops.TestTensorCreationOps) ... ok (0.005s) 2022-11-23T01:39:57.4680193Z test_randperm_specifed_dtype (jit.test_tensor_creation_ops.TestTensorCreationOps) ... ok (0.005s) 2022-11-23T01:39:57.4680369Z test_tril_indices_default_dtype (jit.test_tensor_creation_ops.TestTensorCreationOps) ... ok (0.005s) 2022-11-23T01:39:57.4680552Z test_tril_indices_specified_dtype (jit.test_tensor_creation_ops.TestTensorCreationOps) ... ok (0.006s) 2022-11-23T01:39:57.4680729Z test_triu_indices_default_dtype (jit.test_tensor_creation_ops.TestTensorCreationOps) ... ok (0.005s) 2022-11-23T01:39:57.4680908Z test_triu_indices_specified_dtype (jit.test_tensor_creation_ops.TestTensorCreationOps) ... ok (0.005s) 2022-11-23T01:39:57.4681054Z test_getitem (jit.test_tensor_methods.TestTensorMethods) ... ok (0.006s) 2022-11-23T01:39:57.4681195Z test_getitem_invalid (jit.test_tensor_methods.TestTensorMethods) ... ok (0.001s) 2022-11-23T01:39:57.4681334Z test_default_args (jit.test_torchbind.TestTorchbind) ... ok (0.011s) 2022-11-23T01:39:57.4681486Z test_lambda_as_constructor (jit.test_torchbind.TestTorchbind) ... ok (0.001s) 2022-11-23T01:39:57.4681868Z test_profiler_custom_op (jit.test_torchbind.TestTorchbind) ... STAGE:2022-11-23 01:39:52 3968:3968 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:39:57.4682127Z STAGE:2022-11-23 01:39:52 3968:3968 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:39:57.4682393Z STAGE:2022-11-23 01:39:52 3968:3968 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:39:57.4682461Z ok (0.002s) 2022-11-23T01:39:57.4682601Z test_staticmethod (jit.test_torchbind.TestTorchbind) ... ok (0.002s) 2022-11-23T01:39:57.4682737Z test_torchbind (jit.test_torchbind.TestTorchbind) ... ok (0.009s) 2022-11-23T01:39:57.4682884Z test_torchbind_attr_exception (jit.test_torchbind.TestTorchbind) ... ok (0.001s) 2022-11-23T01:39:57.4683046Z test_torchbind_class_attr_recursive (jit.test_torchbind.TestTorchbind) ... ok (0.004s) 2022-11-23T01:39:57.4683203Z test_torchbind_class_attribute (jit.test_torchbind.TestTorchbind) ... ok (0.005s) 2022-11-23T01:39:57.4683354Z test_torchbind_deepcopy (jit.test_torchbind.TestTorchbind) ... ok (0.004s) 2022-11-23T01:39:57.4683522Z test_torchbind_def_property_getter_setter (jit.test_torchbind.TestTorchbind) ... ok (0.008s) 2022-11-23T01:39:57.4683725Z test_torchbind_def_property_just_getter (jit.test_torchbind.TestTorchbind) ... ok (0.004s) 2022-11-23T01:39:57.4683893Z test_torchbind_def_property_readwrite (jit.test_torchbind.TestTorchbind) ... ok (0.005s) 2022-11-23T01:39:57.4684039Z test_torchbind_getattr (jit.test_torchbind.TestTorchbind) ... ok (0.001s) 2022-11-23T01:39:57.4684173Z test_torchbind_getstate (jit.test_torchbind.TestTorchbind) ... ok (0.007s) 2022-11-23T01:39:57.4684341Z test_torchbind_instantiate_missing_class (jit.test_torchbind.TestTorchbind) ... ok (0.002s) 2022-11-23T01:39:57.4684492Z test_torchbind_lambda_method (jit.test_torchbind.TestTorchbind) ... ok (0.002s) 2022-11-23T01:39:57.4684667Z test_torchbind_no_init (jit.test_torchbind.TestTorchbind) ... ok (0.002s) 2022-11-23T01:39:57.4684829Z test_torchbind_optional_explicit_attr (jit.test_torchbind.TestTorchbind) ... ok (0.004s) 2022-11-23T01:39:57.4684984Z test_torchbind_pass_wrong_type (jit.test_torchbind.TestTorchbind) ... ok (0.001s) 2022-11-23T01:39:57.4685147Z test_torchbind_pickle_serialization (jit.test_torchbind.TestTorchbind) ... ok (0.001s) 2022-11-23T01:39:57.4685304Z test_torchbind_python_deepcopy (jit.test_torchbind.TestTorchbind) ... ok (0.001s) 2022-11-23T01:39:57.4685442Z test_torchbind_return_instance (jit.test_torchbind.TestTorchbind) ... ok (0.002s) 2022-11-23T01:39:57.4685610Z test_torchbind_return_instance_from_method (jit.test_torchbind.TestTorchbind) ... ok (0.002s) 2022-11-23T01:39:57.4685761Z test_torchbind_return_tuple (jit.test_torchbind.TestTorchbind) ... ok (0.002s) 2022-11-23T01:39:57.4685908Z test_torchbind_save_load (jit.test_torchbind.TestTorchbind) ... ok (0.004s) 2022-11-23T01:39:57.4686058Z test_torchbind_take_as_arg (jit.test_torchbind.TestTorchbind) ... ok (0.002s) 2022-11-23T01:39:57.4686224Z test_torchbind_take_instance_as_method_arg (jit.test_torchbind.TestTorchbind) ... ok (0.002s) 2022-11-23T01:39:57.4686368Z test_torchbind_tracing (jit.test_torchbind.TestTorchbind) ... ok (0.005s) 2022-11-23T01:39:57.4686523Z test_torchbind_tracing_nested (jit.test_torchbind.TestTorchbind) ... ok (0.007s) 2022-11-23T01:39:57.4686675Z test_call_traced_fn_from_traced_module (jit.test_tracer.TestTracer) ... ok (0.014s) 2022-11-23T01:39:57.4686818Z test_call_traced_module_from_traced_module (jit.test_tracer.TestTracer) ... ok (0.022s) 2022-11-23T01:39:57.4686964Z test_canonicalize_tensor_iterator (jit.test_tracer.TestTracer) ... ok (0.011s) 2022-11-23T01:39:57.4687089Z test_constant (jit.test_tracer.TestTracer) ... ok (0.009s) 2022-11-23T01:39:57.4687204Z test_conv (jit.test_tracer.TestTracer) ... ok (0.020s) 2022-11-23T01:39:57.4687337Z test_export_no_reorder (jit.test_tracer.TestTracer) ... ok (0.020s) 2022-11-23T01:39:57.4687481Z test_force_outplace_check_fill (jit.test_tracer.TestTracer) ... ok (0.010s) 2022-11-23T01:39:57.4687621Z test_force_outplace_check_zero (jit.test_tracer.TestTracer) ... ok (0.009s) 2022-11-23T01:39:57.4687722Z test_ge (jit.test_tracer.TestTracer) ... ok (0.015s) 2022-11-23T01:39:57.4687864Z test_ge_cuda (jit.test_tracer.TestTracer) ... skip: requires CUDA (0.000s) 2022-11-23T01:39:57.4687991Z test_ge_optimized (jit.test_tracer.TestTracer) ... ok (0.193s) 2022-11-23T01:39:57.4688121Z test_ge_unoptimized (jit.test_tracer.TestTracer) ... ok (0.049s) 2022-11-23T01:39:57.4688244Z test_index_put (jit.test_tracer.TestTracer) ... ok (0.008s) 2022-11-23T01:39:57.4688384Z test_index_put_trace_with_view (jit.test_tracer.TestTracer) ... ok (0.007s) 2022-11-23T01:39:57.4688527Z test_index_put_trace_without_view (jit.test_tracer.TestTracer) ... ok (0.006s) 2022-11-23T01:39:57.4688654Z test_inplace_check (jit.test_tracer.TestTracer) ... ok (0.002s) 2022-11-23T01:39:57.4688770Z test_inplace_copy (jit.test_tracer.TestTracer) ... ok (0.007s) 2022-11-23T01:39:57.4688915Z test_inplace_copy_force_outplace (jit.test_tracer.TestTracer) ... ok (0.006s) 2022-11-23T01:39:57.4689040Z test_inplace_flags (jit.test_tracer.TestTracer) ... ok (0.003s) 2022-11-23T01:39:57.4689208Z test_inplace_transplant (jit.test_tracer.TestTracer) ... ok (0.005s) 2022-11-23T01:39:57.4689337Z test_inplace_warn (jit.test_tracer.TestTracer) ... ok (0.008s) 2022-11-23T01:39:57.4689480Z test_input_dict_checkTrace_mut (jit.test_tracer.TestTracer) ... ok (0.006s) 2022-11-23T01:39:57.4689610Z test_input_dict_empty (jit.test_tracer.TestTracer) ... ok (0.002s) 2022-11-23T01:39:57.4689745Z test_input_dict_empty_list (jit.test_tracer.TestTracer) ... ok (0.002s) 2022-11-23T01:39:57.4689863Z test_input_dict_insertion_order (jit.test_tracer.TestTracer) 2022-11-23T01:39:57.4690081Z Check that dictionary access doesn't care about insertion order ... ok (0.010s) 2022-11-23T01:39:57.4690254Z test_input_dict_of_dicts (jit.test_tracer.TestTracer) ... ok (0.008s) 2022-11-23T01:39:57.4690386Z test_input_dict_of_lists (jit.test_tracer.TestTracer) ... ok (0.007s) 2022-11-23T01:39:57.4690522Z test_input_dict_recursive (jit.test_tracer.TestTracer) ... ok (0.009s) 2022-11-23T01:39:57.4690652Z test_input_dict_remembers_keys (jit.test_tracer.TestTracer) 2022-11-23T01:39:57.4690795Z Check that the trace remembers which keys were in a dict input ... ok (0.012s) 2022-11-23T01:39:57.4690929Z test_input_dict_unify (jit.test_tracer.TestTracer) ... ok (0.006s) 2022-11-23T01:39:57.4691030Z test_input_flatten (jit.test_tracer.TestTracer) 2022-11-23T01:39:57.4691162Z Check that inputs to traced functions are flattened ... ok (0.014s) 2022-11-23T01:39:57.4691297Z test_input_list_mixed_type (jit.test_tracer.TestTracer) ... ok (0.003s) 2022-11-23T01:39:57.4691430Z test_input_list_of_tuples (jit.test_tracer.TestTracer) ... ok (0.009s) 2022-11-23T01:39:57.4691573Z test_input_list_toplevel_flatten (jit.test_tracer.TestTracer) ... ok (0.009s) 2022-11-23T01:39:57.4691727Z test_input_list_toplevel_flatten_direct (jit.test_tracer.TestTracer) ... ok (0.008s) 2022-11-23T01:39:57.4691860Z test_input_tuple_of_dicts (jit.test_tracer.TestTracer) ... ok (0.008s) 2022-11-23T01:39:57.4691994Z test_interpolate_trace (jit.test_tracer.TestTracer) ... ok (0.028s) 2022-11-23T01:39:57.4692140Z test_large_nbr_kernel_args (jit.test_tracer.TestTracer) ... skip: requires CUDA (0.001s) 2022-11-23T01:39:57.4692268Z test_lhs_index_fails (jit.test_tracer.TestTracer) ... ok (0.011s) 2022-11-23T01:39:57.4692398Z test_lhs_index_trivial (jit.test_tracer.TestTracer) ... ok (0.007s) 2022-11-23T01:39:57.4692520Z test_max_pool (jit.test_tracer.TestTracer) ... ok (0.013s) 2022-11-23T01:39:57.4692649Z test_nested_inplace (jit.test_tracer.TestTracer) ... ok (0.005s) 2022-11-23T01:39:57.4692781Z test_non_tensor_tracing (jit.test_tracer.TestTracer) ... ok (0.002s) 2022-11-23T01:39:57.4692901Z test_output_unflatten (jit.test_tracer.TestTracer) 2022-11-23T01:39:57.4693086Z Check that outputs of traced functions retain the original structure and nesting ... expected failure (0.008s) 2022-11-23T01:39:57.4693203Z test_python_function (jit.test_tracer.TestTracer) ... ok (0.005s) 2022-11-23T01:39:57.4693337Z test_python_function_tup (jit.test_tracer.TestTracer) ... ok (0.007s) 2022-11-23T01:39:57.4693467Z test_repeated_input (jit.test_tracer.TestTracer) ... ok (0.008s) 2022-11-23T01:39:57.4693597Z test_repeated_output (jit.test_tracer.TestTracer) ... ok (0.008s) 2022-11-23T01:39:57.4693723Z test_shared_param (jit.test_tracer.TestTracer) ... ok (0.002s) 2022-11-23T01:39:57.4693843Z test_simple (jit.test_tracer.TestTracer) ... ok (0.020s) 2022-11-23T01:39:57.4693987Z test_tensor_with_grad_as_constant (jit.test_tracer.TestTracer) ... ok (0.003s) 2022-11-23T01:39:57.4694115Z test_trace_aliased_parameter (jit.test_tracer.TestTracer) ... ok (0.011s) 2022-11-23T01:39:57.4694247Z test_trace_annotation (jit.test_tracer.TestTracer) ... ok (0.006s) 2022-11-23T01:39:57.4694373Z test_trace_arange (jit.test_tracer.TestTracer) ... ok (0.020s) 2022-11-23T01:39:57.4694512Z test_trace_arange_with_grad (jit.test_tracer.TestTracer) ... ok (0.021s) 2022-11-23T01:39:57.4694654Z test_trace_autograd_function (jit.test_tracer.TestTracer) ... ok (0.009s) 2022-11-23T01:39:57.4694865Z test_trace_c10_ops (jit.test_tracer.TestTracer) ... skip: Skip the test since c2 ops are not registered. (0.003s) 2022-11-23T01:39:57.4694992Z test_trace_casts (jit.test_tracer.TestTracer) ... ok (0.042s) 2022-11-23T01:39:57.4695134Z test_trace_checker_control_flow (jit.test_tracer.TestTracer) ... ok (0.007s) 2022-11-23T01:39:57.4695272Z test_trace_checker_dot_data (jit.test_tracer.TestTracer) ... ok (0.006s) 2022-11-23T01:39:57.4695407Z test_trace_checker_dropout_notrain (jit.test_tracer.TestTracer) ... ok (0.006s) 2022-11-23T01:39:57.4695551Z test_trace_checker_dropout_train (jit.test_tracer.TestTracer) ... ok (0.022s) 2022-11-23T01:39:57.4695728Z test_trace_checker_inplace_on_view (jit.test_tracer.TestTracer) ... ok (0.008s) 2022-11-23T01:39:57.4695872Z test_trace_checker_memoization (jit.test_tracer.TestTracer) ... ok (0.006s) 2022-11-23T01:39:57.4696009Z test_trace_checker_slice_lhs (jit.test_tracer.TestTracer) ... ok (0.012s) 2022-11-23T01:39:57.4696160Z test_trace_checking_with_global_name (jit.test_tracer.TestTracer) ... ok (0.009s) 2022-11-23T01:39:57.4696744Z test_trace_contiguous (jit.test_tracer.TestTracer) ... /opt/conda/lib/python3.7/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:39:57.4696844Z warnings.warn(message, UserWarning) 2022-11-23T01:39:57.4696898Z ok (0.009s) 2022-11-23T01:39:57.4697045Z test_trace_contiguous_short_circuit (jit.test_tracer.TestTracer) ... ok (0.005s) 2022-11-23T01:39:57.4697171Z test_trace_detach (jit.test_tracer.TestTracer) ... ok (0.007s) 2022-11-23T01:39:57.4697310Z test_trace_detach_inplace (jit.test_tracer.TestTracer) ... ok (0.007s) 2022-11-23T01:39:57.4697462Z test_trace_detach_inplace_redispatch (jit.test_tracer.TestTracer) ... ok (0.003s) 2022-11-23T01:39:57.4697601Z test_trace_detach_redispatch (jit.test_tracer.TestTracer) ... ok (0.003s) 2022-11-23T01:39:57.4697734Z test_trace_dict_input (jit.test_tracer.TestTracer) ... ok (0.013s) 2022-11-23T01:39:57.4697868Z test_trace_dict_output (jit.test_tracer.TestTracer) ... ok (0.018s) 2022-11-23T01:39:57.4697986Z test_trace_export_fns (jit.test_tracer.TestTracer) ... ok (0.021s) 2022-11-23T01:39:57.4698129Z test_trace_export_fns_recursive (jit.test_tracer.TestTracer) ... ok (0.078s) 2022-11-23T01:39:57.4698269Z test_trace_fork_join_and_module (jit.test_tracer.TestTracer) ... ok (0.035s) 2022-11-23T01:39:57.4698410Z test_trace_full_dynamic_shape (jit.test_tracer.TestTracer) ... ok (0.008s) 2022-11-23T01:39:57.4698563Z test_trace_func_argument_names_captured (jit.test_tracer.TestTracer) ... ok (0.005s) 2022-11-23T01:39:57.4698692Z test_trace_index (jit.test_tracer.TestTracer) ... ok (0.006s) 2022-11-23T01:39:57.4698971Z test_trace_index_constant (jit.test_tracer.TestTracer) ... ok (0.006s) 2022-11-23T01:39:57.4699118Z test_trace_indexed_assignment (jit.test_tracer.TestTracer) ... ok (0.009s) 2022-11-23T01:39:57.4699241Z test_trace_inline_shape (jit.test_tracer.TestTracer) ... ok (0.017s) 2022-11-23T01:39:57.4699370Z test_trace_inverse (jit.test_tracer.TestTracer) ... ok (0.005s) 2022-11-23T01:39:57.4699517Z test_trace_invert_module_hierarchy (jit.test_tracer.TestTracer) ... ok (0.021s) 2022-11-23T01:39:57.4699652Z test_trace_legacy_ctor (jit.test_tracer.TestTracer) ... ok (0.010s) 2022-11-23T01:39:57.4699812Z test_trace_module_argument_names_captured (jit.test_tracer.TestTracer) ... ok (0.035s) 2022-11-23T01:39:57.4699946Z test_trace_modulelist (jit.test_tracer.TestTracer) ... ok (0.026s) 2022-11-23T01:39:57.4700129Z test_trace_multi_output_function (jit.test_tracer.TestTracer) ... graph(%self : __torch__.jit.test_tracer.Bar, 2022-11-23T01:39:57.4700257Z %x.1 : Double(3, 2, strides=[2, 1], requires_grad=0, device=cpu), 2022-11-23T01:39:57.4700368Z %y.1 : Double(1, 2, strides=[2, 1], requires_grad=0, device=cpu)): 2022-11-23T01:39:57.4700657Z %x : Double(3, 2, strides=[2, 1], requires_grad=0, device=cpu) = aten::relu(%x.1) # /var/lib/jenkins/workspace/test/jit/test_tracer.py:1429:0 2022-11-23T01:39:57.4700864Z %y : Double(1, 2, strides=[2, 1], requires_grad=0, device=cpu) = aten::relu(%y.1) # /var/lib/jenkins/workspace/test/jit/test_tracer.py:1430:0 2022-11-23T01:39:57.4701160Z %9 : (Double(1, 2, strides=[2, 1], requires_grad=0, device=cpu), Double(3, 2, strides=[2, 1], requires_grad=0, device=cpu)) = ^Foo[inplace=0, module="jit.test_tracer", Subgraph=]()(%x, %y) # /var/lib/jenkins/workspace/test/jit/test_tracer.py:1431:0 2022-11-23T01:39:57.4701369Z %10 : Double(1, 2, strides=[2, 1], requires_grad=0, device=cpu), %11 : Double(3, 2, strides=[2, 1], requires_grad=0, device=cpu) = prim::TupleUnpack(%9) 2022-11-23T01:39:57.4701622Z %12 : (Double(1, 2, strides=[2, 1], requires_grad=0, device=cpu), Double(3, 2, strides=[2, 1], requires_grad=0, device=cpu)) = prim::TupleConstruct(%10, %11) 2022-11-23T01:39:57.4701696Z return (%12) 2022-11-23T01:39:57.4701704Z 2022-11-23T01:39:57.4701775Z ok (0.008s) 2022-11-23T01:39:57.4701918Z test_trace_namedtuple (jit.test_tracer.TestTracer) ... ok (0.006s) 2022-11-23T01:39:57.4702060Z test_trace_nested_datatypes (jit.test_tracer.TestTracer) ... ok (0.010s) 2022-11-23T01:39:57.4702197Z test_trace_nested_fn (jit.test_tracer.TestTracer) ... ok (0.017s) 2022-11-23T01:39:57.4702308Z test_trace_numel (jit.test_tracer.TestTracer) ... ok (0.005s) 2022-11-23T01:39:57.4702446Z test_trace_optioanl_dtype (jit.test_tracer.TestTracer) ... ok (0.008s) 2022-11-23T01:39:57.4702578Z test_trace_optional (jit.test_tracer.TestTracer) ... ok (0.016s) 2022-11-23T01:39:57.4702746Z test_trace_partial_func_argument_names_captured (jit.test_tracer.TestTracer) ... ok (0.006s) 2022-11-23T01:39:57.4702871Z test_trace_random (jit.test_tracer.TestTracer) ... ok (0.003s) 2022-11-23T01:39:57.4703004Z test_trace_records_names (jit.test_tracer.TestTracer) ... ok (0.010s) 2022-11-23T01:39:57.4703127Z test_trace_save (jit.test_tracer.TestTracer) ... ok (0.007s) 2022-11-23T01:39:57.4703266Z test_trace_save_load_copy (jit.test_tracer.TestTracer) ... ok (0.033s) 2022-11-23T01:39:57.4703386Z test_trace_single_tuple (jit.test_tracer.TestTracer) ... ok (0.005s) 2022-11-23T01:39:57.4703510Z test_trace_size (jit.test_tracer.TestTracer) ... ok (0.008s) 2022-11-23T01:39:57.4703643Z test_trace_size_with_grad (jit.test_tracer.TestTracer) ... ok (0.009s) 2022-11-23T01:39:57.4703784Z test_trace_skip_none_submodule (jit.test_tracer.TestTracer) ... ok (0.007s) 2022-11-23T01:39:57.4703911Z test_trace_slice (jit.test_tracer.TestTracer) ... ok (0.048s) 2022-11-23T01:39:57.4704060Z test_trace_slice_expr_complete_type (jit.test_tracer.TestTracer) ... ok (0.013s) 2022-11-23T01:39:57.4704194Z test_trace_slice_full_dim (jit.test_tracer.TestTracer) ... ok (0.013s) 2022-11-23T01:39:57.4704345Z test_trace_slice_setitem_dynamic_shape (jit.test_tracer.TestTracer) ... ok (0.014s) 2022-11-23T01:39:57.4704467Z test_trace_slice_with_grad (jit.test_tracer.TestTracer) ... ok (0.058s) 2022-11-23T01:39:57.4704601Z test_trace_tensor_factory (jit.test_tracer.TestTracer) ... ok (0.042s) 2022-11-23T01:39:57.4705269Z test_trace_topk (jit.test_tracer.TestTracer) ... /var/lib/jenkins/workspace/test/jit/test_tracer.py:158: TracerWarning: Converting a tensor to a Python integer might cause the trace to be incorrect. We can't record the data flow of Python values, so this value will be treated as a constant in the future. This means that the trace might not generalize to other inputs! 2022-11-23T01:39:57.4705356Z return x.topk(y, dim=1)[1] 2022-11-23T01:39:57.4705423Z ok (0.010s) 2022-11-23T01:39:57.4705551Z test_trace_tuple (jit.test_tracer.TestTracer) ... ok (0.011s) 2022-11-23T01:39:57.4705703Z test_trace_variable_instantiation (jit.test_tracer.TestTracer) ... ok (0.006s) 2022-11-23T01:39:57.4705826Z test_trace_warn (jit.test_tracer.TestTracer) ... ok (0.009s) 2022-11-23T01:39:57.4705964Z test_trace_with_conditional_property (jit.test_tracer.TestTracer) ... ok (0.007s) 2022-11-23T01:39:57.4706147Z test_trace_with_nested_tensor_list_output (jit.test_tracer.TestTracer) ... ok (0.004s) 2022-11-23T01:39:57.4706293Z test_trace_with_number_list_output (jit.test_tracer.TestTracer) ... ok (0.003s) 2022-11-23T01:39:57.4706439Z test_trace_with_tensor_list_output (jit.test_tracer.TestTracer) ... ok (0.019s) 2022-11-23T01:39:57.4706591Z test_traced_module_cuda (jit.test_tracer.TestTracer) ... skip: calls .cuda() (0.002s) 2022-11-23T01:39:57.4706735Z test_tracing_backward_hook_error (jit.test_tracer.TestTracer) ... ok (0.001s) 2022-11-23T01:39:57.4706860Z test_tracing_hooks (jit.test_tracer.TestTracer) ... ok (0.046s) 2022-11-23T01:39:57.4707035Z test_tracing_multiple_methods (jit.test_tracer.TestTracer) ... ok (0.138s) 2022-11-23T01:39:57.4707170Z test_typeas_trace_check (jit.test_tracer.TestTracer) ... ok (0.005s) 2022-11-23T01:39:57.4707287Z test_wrapped_number (jit.test_tracer.TestTracer) ... ok (0.007s) 2022-11-23T01:39:57.4707427Z test_assign_python_attr (jit.test_type_sharing.TestTypeSharing) 2022-11-23T01:39:57.4707658Z Assigning a new (python-only) attribute should not change type sharing ... ok (0.040s) 2022-11-23T01:39:57.4707797Z test_basic (jit.test_type_sharing.TestTypeSharing) ... ok (0.007s) 2022-11-23T01:39:57.4707959Z test_builtin_function_different (jit.test_type_sharing.TestTypeSharing) ... ok (0.008s) 2022-11-23T01:39:57.4708114Z test_builtin_function_same (jit.test_type_sharing.TestTypeSharing) ... ok (0.006s) 2022-11-23T01:39:57.4708355Z test_constants (jit.test_type_sharing.TestTypeSharing) 2022-11-23T01:39:57.4708550Z Types should be shared for identical constant values, and different for different constant values ... ok (0.012s) 2022-11-23T01:39:57.4708678Z test_diff_attr_values (jit.test_type_sharing.TestTypeSharing) 2022-11-23T01:39:57.4708815Z Types should be shared even if attribute values differ ... ok (0.007s) 2022-11-23T01:39:57.4708971Z test_failed_attribute_compilation (jit.test_type_sharing.TestTypeSharing) 2022-11-23T01:39:57.4709131Z Attributes whose type cannot be inferred should fail cleanly with nice hints ... ok (0.003s) 2022-11-23T01:39:57.4709277Z test_ignored_fns (jit.test_type_sharing.TestTypeSharing) ... ok (0.008s) 2022-11-23T01:39:57.4709404Z test_linear (jit.test_type_sharing.TestTypeSharing) 2022-11-23T01:39:57.4709517Z Simple example with a real nn Module ... ok (0.014s) 2022-11-23T01:39:57.4709658Z test_loaded_modules_work (jit.test_type_sharing.TestTypeSharing) ... ok (0.018s) 2022-11-23T01:39:57.4709821Z test_module_dict_same_type_different_name (jit.test_type_sharing.TestTypeSharing) 2022-11-23T01:39:57.4709969Z We should be able to differentiate between two ModuleDict instances ... ok (0.036s) 2022-11-23T01:39:57.4710111Z test_mutate_attr_value (jit.test_type_sharing.TestTypeSharing) 2022-11-23T01:39:57.4710261Z Mutating the value of an attribute should not change type sharing ... ok (0.021s) 2022-11-23T01:39:57.4710400Z test_param_vs_attribute (jit.test_type_sharing.TestTypeSharing) 2022-11-23T01:39:57.4710626Z The same module with an `foo` as a parameter vs. attribute shouldn't ... ok (0.009s) 2022-11-23T01:39:57.4710787Z test_python_function_attribute_different (jit.test_type_sharing.TestTypeSharing) 2022-11-23T01:39:57.4710917Z Different functions passed in should lead to different types ... ok (0.011s) 2022-11-23T01:39:57.4711069Z test_python_function_attribute_same (jit.test_type_sharing.TestTypeSharing) 2022-11-23T01:39:57.4711197Z Same functions passed in should lead to same types ... ok (0.008s) 2022-11-23T01:39:57.4711343Z test_same_but_different_classes (jit.test_type_sharing.TestTypeSharing) 2022-11-23T01:39:57.4711498Z Even if everything about the module is the same, different originating ... ok (0.024s) 2022-11-23T01:39:57.4711660Z test_script_function_attribute_different (jit.test_type_sharing.TestTypeSharing) 2022-11-23T01:39:57.4711804Z Different functions passed in should lead to different types ... ok (0.013s) 2022-11-23T01:39:57.4711992Z test_script_function_attribute_same (jit.test_type_sharing.TestTypeSharing) 2022-11-23T01:39:57.4712124Z Same functions passed in should lead to same types ... ok (0.008s) 2022-11-23T01:39:57.4712291Z test_script_module_containing_traced_module (jit.test_type_sharing.TestTypeSharing) ... ok (0.023s) 2022-11-23T01:39:57.4712422Z test_submodules (jit.test_type_sharing.TestTypeSharing) 2022-11-23T01:39:57.4712548Z If submodules differ, the types should differ. ... ok (0.051s) 2022-11-23T01:39:57.4712700Z test_tracing_gives_different_types (jit.test_type_sharing.TestTypeSharing) 2022-11-23T01:39:57.4712919Z Since we can't guarantee that methods are the same between different ... ok (0.014s) 2022-11-23T01:39:57.4713124Z test_type_not_shared_ignored_attributes (jit.test_type_sharing.TestTypeSharing) 2022-11-23T01:39:57.4713258Z Test that types are not shared if the exclusion of their ... ok (0.008s) 2022-11-23T01:39:57.4713409Z test_type_shared_ignored_attributes (jit.test_type_sharing.TestTypeSharing) 2022-11-23T01:39:57.4713529Z Test that types are shared if the exclusion of their ... ok (0.011s) 2022-11-23T01:39:57.4713676Z test_type_sharing_define_in_init (jit.test_type_sharing.TestTypeSharing) 2022-11-23T01:39:57.4713808Z Tests that types between instances of a ScriptModule ... ok (0.008s) 2022-11-23T01:39:57.4713949Z test_type_sharing_disabled (jit.test_type_sharing.TestTypeSharing) 2022-11-23T01:39:57.4714064Z Test that type sharing can be disabled. ... ok (0.022s) 2022-11-23T01:39:57.4714224Z test_annotate_outside_init (jit.test_types.TestTypesAndAnnotation) ... ok (0.006s) 2022-11-23T01:39:57.4714373Z test_bad_types (jit.test_types.TestTypesAndAnnotation) ... ok (0.002s) 2022-11-23T01:39:57.4714519Z test_ignore_with_types (jit.test_types.TestTypesAndAnnotation) ... ok (0.005s) 2022-11-23T01:39:57.4714674Z test_ignoring_module_attributes (jit.test_types.TestTypesAndAnnotation) 2022-11-23T01:39:57.4714794Z Test that module attributes can be ignored. ... ok (0.008s) 2022-11-23T01:39:57.4714964Z test_inferred_type_error_message (jit.test_types.TestTypesAndAnnotation) ... ok (0.003s) 2022-11-23T01:39:57.4715125Z test_mismatched_annotation (jit.test_types.TestTypesAndAnnotation) ... ok (0.001s) 2022-11-23T01:39:57.4715288Z test_optional_no_element_type_annotation (jit.test_types.TestTypesAndAnnotation) 2022-11-23T01:39:57.4715439Z Test that using an optional with no contained types produces an error. ... ok (0.003s) 2022-11-23T01:39:57.4715588Z test_parser_bug (jit.test_types.TestTypesAndAnnotation) ... ok (0.001s) 2022-11-23T01:39:57.4715724Z test_pep585_type (jit.test_types.TestTypesAndAnnotation) ... ok (0.009s) 2022-11-23T01:39:57.4715879Z test_python_callable (jit.test_types.TestTypesAndAnnotation) ... ok (0.002s) 2022-11-23T01:39:57.4716031Z test_reannotate (jit.test_types.TestTypesAndAnnotation) ... ok (0.002s) 2022-11-23T01:39:57.4716191Z test_tuple_no_element_type_annotation (jit.test_types.TestTypesAndAnnotation) 2022-11-23T01:39:57.4716342Z Test that using a tuple with no contained types produces an error. ... ok (0.003s) 2022-11-23T01:39:57.4716499Z test_type_annotate_py3 (jit.test_types.TestTypesAndAnnotation) ... ok (0.013s) 2022-11-23T01:39:57.4716652Z test_types_as_values (jit.test_types.TestTypesAndAnnotation) ... ok (0.012s) 2022-11-23T01:39:57.4716817Z test_unimported_type_resolution (jit.test_types.TestTypesAndAnnotation) ... ok (0.003s) 2022-11-23T01:39:57.4716944Z test_bool_list_io (jit.test_typing.TestTyping) ... ok (0.004s) 2022-11-23T01:39:57.4717070Z test_dict_comprehension (jit.test_typing.TestTyping) ... ok (0.006s) 2022-11-23T01:39:57.4717214Z test_dict_comprehension_scope (jit.test_typing.TestTyping) ... ok (0.007s) 2022-11-23T01:39:57.4717376Z test_dict_comprehension_with_type_annotation (jit.test_typing.TestTyping) ... ok (0.008s) 2022-11-23T01:39:57.4717504Z test_dict_in_not_in (jit.test_typing.TestTyping) ... ok (0.026s) 2022-11-23T01:39:57.4717647Z test_dict_invalid_annotations (jit.test_typing.TestTyping) ... ok (0.003s) 2022-11-23T01:39:57.4718102Z test_dict_type_refinement_annotation_key_mismatch (jit.test_typing.TestTyping) ... [W ir_emitter.cpp:4385] Warning: List consists of heterogeneous types, which means that it has been typed as containing Union[int, str]. To use any of the values in this List, it will be necessary to add an `assert isinstance` statement before first use to trigger type refinement. 2022-11-23T01:39:57.4718241Z File "/var/lib/jenkins/workspace/test/jit/test_typing.py", line 90 2022-11-23T01:39:57.4718311Z def fn(): 2022-11-23T01:39:57.4718376Z l1 = [1, 2, "foo", 3] 2022-11-23T01:39:57.4718511Z ~~~~~~~~~~~~~~~ <--- HERE 2022-11-23T01:39:57.4718632Z l2 = ["foo", "bar", "baz", "qux"] 2022-11-23T01:39:57.4718748Z d: Dict[int, str] = {k : v for k, v in zip(l1, l2)} 2022-11-23T01:39:57.4718838Z (function emitListLiteral) 2022-11-23T01:39:57.4718905Z ok (0.002s) 2022-11-23T01:39:57.4719333Z test_dict_type_refinement_annotation_value_mismatch (jit.test_typing.TestTyping) ... [W ir_emitter.cpp:4385] Warning: List consists of heterogeneous types, which means that it has been typed as containing Union[int, str]. To use any of the values in this List, it will be necessary to add an `assert isinstance` statement before first use to trigger type refinement. 2022-11-23T01:39:57.4719471Z File "/var/lib/jenkins/workspace/test/jit/test_typing.py", line 104 2022-11-23T01:39:57.4719538Z def fn(): 2022-11-23T01:39:57.4719616Z l1 = ["foo", "bar", "baz", "qux"] 2022-11-23T01:39:57.4719691Z l2 = [1, 2, "foo", 3] 2022-11-23T01:39:57.4719818Z ~~~~~~~~~~~~~~~ <--- HERE 2022-11-23T01:39:57.4719937Z d: Dict[str, int] = {k : v for k, v in zip(l1, l2)} 2022-11-23T01:39:57.4720006Z return d 2022-11-23T01:39:57.4720093Z (function emitListLiteral) 2022-11-23T01:39:57.4720145Z ok (0.002s) 2022-11-23T01:39:57.4720271Z test_for_in_dict (jit.test_typing.TestTyping) ... ok (0.010s) 2022-11-23T01:39:57.4720401Z test_for_in_string (jit.test_typing.TestTyping) ... ok (0.016s) 2022-11-23T01:39:57.4720534Z test_for_tuple_assign (jit.test_typing.TestTyping) ... ok (0.010s) 2022-11-23T01:39:57.4720665Z test_for_tuple_unpack (jit.test_typing.TestTyping) ... ok (0.018s) 2022-11-23T01:39:57.4720786Z test_list_io (jit.test_typing.TestTyping) ... ok (0.005s) 2022-11-23T01:39:57.4720920Z test_list_iterables (jit.test_typing.TestTyping) ... ok (0.001s) 2022-11-23T01:39:57.4721041Z test_list_sum (jit.test_typing.TestTyping) ... ok (0.013s) 2022-11-23T01:39:57.4721200Z test_list_type_refinement_annotation_element_mismatch (jit.test_typing.TestTyping) ... ok (0.002s) 2022-11-23T01:39:57.4721336Z test_list_unification (jit.test_typing.TestTyping) ... ok (0.009s) 2022-11-23T01:39:57.4721466Z test_multiple_assign (jit.test_typing.TestTyping) ... ok (0.008s) 2022-11-23T01:39:57.4721606Z test_namedtuple_good_error (jit.test_typing.TestTyping) ... ok (0.003s) 2022-11-23T01:39:57.4721736Z test_namedtuple_py2 (jit.test_typing.TestTyping) ... ok (0.004s) 2022-11-23T01:39:57.4721876Z test_namedtuple_redefine (jit.test_typing.TestTyping) ... ok (0.008s) 2022-11-23T01:39:57.4722001Z test_nested_list (jit.test_typing.TestTyping) ... ok (0.005s) 2022-11-23T01:39:57.4722136Z test_opt_opt_refinement (jit.test_typing.TestTyping) ... ok (0.004s) 2022-11-23T01:39:57.4722257Z test_optional_conversion (jit.test_typing.TestTyping) ... ok (0.014s) 2022-11-23T01:39:57.4722392Z test_optional_refinement (jit.test_typing.TestTyping) ... ok (0.003s) 2022-11-23T01:39:57.4722522Z test_optional_tuple (jit.test_typing.TestTyping) ... ok (0.007s) 2022-11-23T01:39:57.4722662Z test_singleton_tuple_unpack (jit.test_typing.TestTyping) ... ok (0.005s) 2022-11-23T01:39:57.4722797Z test_sum_list_diff_elms (jit.test_typing.TestTyping) ... ok (0.007s) 2022-11-23T01:39:57.4722926Z test_sum_list_empty (jit.test_typing.TestTyping) ... ok (0.011s) 2022-11-23T01:39:57.4723056Z test_sum_list_literal (jit.test_typing.TestTyping) ... ok (0.010s) 2022-11-23T01:39:57.4723219Z test_sum_list_one (jit.test_typing.TestTyping) ... ok (0.010s) 2022-11-23T01:39:57.4723343Z test_sum_list_wrong_type (jit.test_typing.TestTyping) ... ok (0.003s) 2022-11-23T01:39:57.4723477Z test_tuple_assignments (jit.test_typing.TestTyping) ... ok (0.038s) 2022-11-23T01:39:57.4723610Z test_tuple_create_return (jit.test_typing.TestTyping) ... ok (0.011s) 2022-11-23T01:39:57.4723732Z test_tuple_io (jit.test_typing.TestTyping) ... ok (0.005s) 2022-11-23T01:39:57.4723859Z test_tuple_keyword (jit.test_typing.TestTyping) ... ok (0.005s) 2022-11-23T01:39:57.4723998Z test_tuple_specialization (jit.test_typing.TestTyping) ... ok (0.006s) 2022-11-23T01:39:57.4724162Z test_check_union_annotation (jit.test_union.TestUnion) ... ok (0.004s) 2022-11-23T01:39:57.4724314Z test_union_T_None_is_equivalent_to_optional_T (jit.test_union.TestUnion) ... ok (0.012s) 2022-11-23T01:39:57.4724447Z test_union_argument_order_is_ignored (jit.test_union.TestUnion) ... ok (0.004s) 2022-11-23T01:39:57.4724606Z test_union_argument_order_is_ignored_container (jit.test_union.TestUnion) ... ok (0.005s) 2022-11-23T01:39:57.4724736Z test_union_as_annotation (jit.test_union.TestUnion) ... ok (0.004s) 2022-11-23T01:39:57.4724887Z test_union_as_annotation_in_typed_container (jit.test_union.TestUnion) ... ok (0.005s) 2022-11-23T01:39:57.4725021Z test_union_as_annotation_py2 (jit.test_union.TestUnion) ... ok (0.005s) 2022-11-23T01:39:57.4725147Z test_union_as_dict_key (jit.test_union.TestUnion) ... ok (0.008s) 2022-11-23T01:39:57.4725276Z test_union_as_dict_value (jit.test_union.TestUnion) ... ok (0.006s) 2022-11-23T01:39:57.4725415Z test_union_as_internal_tuple_type (jit.test_union.TestUnion) ... ok (0.004s) 2022-11-23T01:39:57.4725574Z test_union_branching_does_not_autoinfer_undeclared_union (jit.test_union.TestUnion) ... ok (0.002s) 2022-11-23T01:39:57.4725746Z test_union_branching_does_not_widen_existing_inferred_type (jit.test_union.TestUnion) ... ok (0.002s) 2022-11-23T01:39:57.4725919Z test_union_branching_with_union_return_and_homogenous_types (jit.test_union.TestUnion) ... ok (0.006s) 2022-11-23T01:39:57.4726083Z test_union_does_not_replace_existing_annotated_type (jit.test_union.TestUnion) ... ok (0.002s) 2022-11-23T01:39:57.4726266Z test_union_does_not_replace_existing_annotated_type_empty_container (jit.test_union.TestUnion) ... ok (0.001s) 2022-11-23T01:39:57.4726435Z test_union_does_not_replace_existing_annotated_type_union (jit.test_union.TestUnion) ... ok (0.002s) 2022-11-23T01:39:57.4726575Z test_union_in_class_constructor (jit.test_union.TestUnion) ... ok (0.005s) 2022-11-23T01:39:57.4727195Z test_union_memory_aliasing (jit.test_union.TestUnion) ... /opt/conda/lib/python3.7/site-packages/torch/_jit_internal.py:1283: UserWarning: The inner type of a container is lost when calling torch.jit.isinstance in eager mode. For example, List[int] would become list and therefore falsely return True for List[float] or List[str]. 2022-11-23T01:39:57.4727306Z "The inner type of a container is lost when " 2022-11-23T01:39:57.4727361Z ok (0.009s) 2022-11-23T01:39:57.4727512Z test_union_module_with_union_class_variable (jit.test_union.TestUnion) ... ok (0.006s) 2022-11-23T01:39:57.4727667Z test_union_module_with_union_instance_variable (jit.test_union.TestUnion) ... ok (0.014s) 2022-11-23T01:39:57.4727817Z test_union_optional_of_union_is_flattened (jit.test_union.TestUnion) ... ok (0.007s) 2022-11-23T01:39:57.4727969Z test_union_redundant_arguments_are_skipped (jit.test_union.TestUnion) ... ok (0.003s) 2022-11-23T01:39:57.4728136Z test_union_redundant_arguments_are_skipped_container (jit.test_union.TestUnion) ... ok (0.003s) 2022-11-23T01:39:57.4728304Z test_union_redundant_arguments_are_skipped_optional (jit.test_union.TestUnion) ... ok (0.003s) 2022-11-23T01:39:57.4728469Z test_union_redundant_arguments_are_skipped_subtyping (jit.test_union.TestUnion) ... ok (0.003s) 2022-11-23T01:39:57.4728587Z test_union_return_type (jit.test_union.TestUnion) ... ok (0.004s) 2022-11-23T01:39:57.4728773Z test_union_schema_matching_on_internal_type (jit.test_union.TestUnion) ... ok (0.025s) 2022-11-23T01:39:57.4728940Z test_union_serialization_preserves_type_annotations (jit.test_union.TestUnion) ... ok (0.009s) 2022-11-23T01:39:57.4729081Z test_union_subclasses_larger_union (jit.test_union.TestUnion) ... ok (0.006s) 2022-11-23T01:39:57.4729223Z test_union_subtractive_refinement (jit.test_union.TestUnion) ... ok (0.009s) 2022-11-23T01:39:57.4729381Z test_union_subtractive_refinement_with_container (jit.test_union.TestUnion) ... ok (0.009s) 2022-11-23T01:39:57.4729513Z test_union_type_refinement (jit.test_union.TestUnion) ... ok (0.006s) 2022-11-23T01:39:57.4729706Z test_union_type_refinement_internal_declaration (jit.test_union.TestUnion) ... ok (0.006s) 2022-11-23T01:39:57.4729882Z test_union_type_refinement_partial_static_refinement_tuple_rhs (jit.test_union.TestUnion) ... ok (0.008s) 2022-11-23T01:39:57.4730047Z test_union_type_refinement_partial_static_refinement_union_rhs (jit.test_union.TestUnion) ... ok (0.008s) 2022-11-23T01:39:57.4730199Z test_union_type_refinement_statically_false (jit.test_union.TestUnion) ... ok (0.003s) 2022-11-23T01:39:57.4730350Z test_union_type_refinement_statically_true (jit.test_union.TestUnion) ... ok (0.004s) 2022-11-23T01:39:57.4730493Z test_union_type_refinement_tuple_rhs (jit.test_union.TestUnion) ... ok (0.015s) 2022-11-23T01:39:57.4730661Z test_union_type_refinement_tuple_rhs_noncontained_type (jit.test_union.TestUnion) ... ok (0.010s) 2022-11-23T01:39:57.4730813Z test_union_type_refinement_tuple_rhs_union (jit.test_union.TestUnion) ... ok (0.004s) 2022-11-23T01:39:57.4730956Z test_union_type_refinement_union_rhs (jit.test_union.TestUnion) ... ok (0.004s) 2022-11-23T01:39:57.4731105Z test_union_variable_can_be_reassigned (jit.test_union.TestUnion) ... ok (0.010s) 2022-11-23T01:39:57.4731225Z test_union_with_collections (jit.test_union.TestUnion) ... ok (0.009s) 2022-11-23T01:39:57.4731366Z test_union_with_dict_assignment (jit.test_union.TestUnion) ... ok (0.033s) 2022-11-23T01:39:57.4731491Z test_union_with_enum (jit.test_union.TestUnion) ... ok (0.009s) 2022-11-23T01:39:57.4731898Z test_union_with_list_assignment (jit.test_union.TestUnion) ... [W ir_emitter.cpp:4385] Warning: List consists of heterogeneous types, which means that it has been typed as containing Union[Tensor, int]. To use any of the values in this List, it will be necessary to add an `assert isinstance` statement before first use to trigger type refinement. 2022-11-23T01:39:57.4731979Z File "", line 3 2022-11-23T01:39:57.4731986Z 2022-11-23T01:39:57.4732050Z def fn(): 2022-11-23T01:39:57.4732204Z x: Union[List[str], List[torch.Tensor]] = [torch.add(1, x) for x in [torch.arange(5), 1]] 2022-11-23T01:39:57.4732398Z ~~~~~~~~~~~~~~~~~~~ <--- HERE 2022-11-23T01:39:57.4732516Z if torch.jit.isinstance(x, List[torch.Tensor]): 2022-11-23T01:39:57.4732591Z x.append(torch.tensor(3)) 2022-11-23T01:39:57.4732686Z (function emitListLiteral) 2022-11-23T01:39:57.4733029Z [W ir_emitter.cpp:4385] Warning: List consists of heterogeneous types, which means that it has been typed as containing Union[Tensor, int]. To use any of the values in this List, it will be necessary to add an `assert isinstance` statement before first use to trigger type refinement. 2022-11-23T01:39:57.4733109Z File "", line 3 2022-11-23T01:39:57.4733114Z 2022-11-23T01:39:57.4733178Z def fn(): 2022-11-23T01:39:57.4733326Z x: Union[List[torch.Tensor], int] = [torch.add(1, x) for x in [torch.arange(5), 1]] 2022-11-23T01:39:57.4733509Z ~~~~~~~~~~~~~~~~~~~ <--- HERE 2022-11-23T01:39:57.4733630Z if torch.jit.isinstance(x, List[torch.Tensor]): 2022-11-23T01:39:57.4733704Z x.append(torch.tensor(3)) 2022-11-23T01:39:57.4733792Z (function emitListLiteral) 2022-11-23T01:39:57.4733858Z ok (0.027s) 2022-11-23T01:39:57.4734027Z test_union_with_scalar_values (jit.test_union.TestUnion) ... ok (0.007s) 2022-11-23T01:39:57.4734176Z test_unions_of_a_single_argument_vanish (jit.test_union.TestUnion) ... ok (0.003s) 2022-11-23T01:39:57.4734318Z test_unions_of_unions_are_flattened (jit.test_union.TestUnion) ... ok (0.003s) 2022-11-23T01:39:57.4734495Z test_factory_ops_requires_grad_fail (jit.test_unsupported_ops.TestUnsupportedOps) ... ok (0.004s) 2022-11-23T01:39:57.4734644Z test_init_ops (jit.test_unsupported_ops.TestUnsupportedOps) ... ok (0.018s) 2022-11-23T01:39:57.4734786Z test_add_value_to_version_map (jit.test_upgraders.TestUpgraders) ... ok (0.001s) 2022-11-23T01:39:57.4734967Z test_aten_div_scalar_at_3 (jit.test_upgraders.TestUpgraders) ... ok (0.011s) 2022-11-23T01:39:57.4735113Z test_aten_div_tensor_at_3 (jit.test_upgraders.TestUpgraders) ... ok (0.009s) 2022-11-23T01:39:57.4735262Z test_aten_div_tensor_out_at_3 (jit.test_upgraders.TestUpgraders) ... ok (0.008s) 2022-11-23T01:39:57.4735404Z test_aten_full_at_4 (jit.test_upgraders.TestUpgraders) ... ok (0.007s) 2022-11-23T01:39:57.4735557Z test_aten_full_other_variants (jit.test_upgraders.TestUpgraders) ... ok (0.006s) 2022-11-23T01:39:57.4735699Z test_aten_full_out_at_4 (jit.test_upgraders.TestUpgraders) ... ok (0.010s) 2022-11-23T01:39:57.4735843Z test_aten_linspace (jit.test_upgraders.TestUpgraders) ... ok (0.003s) 2022-11-23T01:39:57.4735975Z test_aten_linspace_out (jit.test_upgraders.TestUpgraders) ... ok (0.003s) 2022-11-23T01:39:57.4736116Z test_aten_logspace (jit.test_upgraders.TestUpgraders) ... ok (0.003s) 2022-11-23T01:39:57.4736261Z test_aten_logspace_out (jit.test_upgraders.TestUpgraders) ... ok (0.003s) 2022-11-23T01:39:57.4736414Z test_aten_test_serialization (jit.test_upgraders.TestUpgraders) ... ok (0.012s) 2022-11-23T01:39:57.4736576Z test_populated_test_upgrader_graph (jit.test_upgraders.TestUpgraders) ... ok (0.004s) 2022-11-23T01:39:57.4736736Z test_populated_upgrader_graph (jit.test_upgraders.TestUpgraders) ... ok (0.004s) 2022-11-23T01:39:57.4736850Z test_warn (jit.test_warn.TestWarn) ... ok (0.004s) 2022-11-23T01:39:57.4737001Z test_warn_multiple_calls_multiple_warnings (jit.test_warn.TestWarn) ... ok (0.003s) 2022-11-23T01:39:57.4737138Z test_warn_multiple_calls_same_func_diff_stack (jit.test_warn.TestWarn) ... ok (0.008s) 2022-11-23T01:39:57.4737265Z test_warn_once_per_func (jit.test_warn.TestWarn) ... ok (0.007s) 2022-11-23T01:39:57.4737400Z test_warn_once_per_func_in_loop (jit.test_warn.TestWarn) ... ok (0.008s) 2022-11-23T01:39:57.4737522Z test_warn_only_once (jit.test_warn.TestWarn) ... ok (0.003s) 2022-11-23T01:39:57.4737656Z test_warn_only_once_in_loop_func (jit.test_warn.TestWarn) ... ok (0.006s) 2022-11-23T01:39:57.4737755Z test_with_as (jit.test_with.TestWith) 2022-11-23T01:39:57.4737983Z Check that with statements that use the 'as' keyword to bind expressions ... ok (0.075s) 2022-11-23T01:39:57.4738089Z test_with_errors (jit.test_with.TestWith) 2022-11-23T01:39:57.4738329Z Check that errors related to with-statements are detected and reported correctly. ... ok (0.013s) 2022-11-23T01:39:57.4738440Z test_with_exceptions (jit.test_with.TestWith) 2022-11-23T01:39:57.4738658Z Check that exceptions thrown in the bodies of with-statements are ... ok (0.025s) 2022-11-23T01:39:57.4738901Z test_with_no_as (jit.test_with.TestWith) 2022-11-23T01:39:57.4739215Z Check that with statements that do not use the 'as' keyword to bind expressions ... ok (0.076s) 2022-11-23T01:39:57.4739323Z test_with_no_grad (jit.test_with.TestWith) 2022-11-23T01:39:57.4739468Z Check that torch.no_grad() works. Most of these are adapted from ... ok (0.019s) 2022-11-23T01:39:57.4739587Z test_with_record_function (jit.test_with.TestWith) 2022-11-23T01:39:57.4739962Z Check that torch.autograd.profiler.record_function context manager is ... STAGE:2022-11-23 01:39:56 3968:3968 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:39:57.4740220Z STAGE:2022-11-23 01:39:56 3968:3968 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:39:57.4740555Z STAGE:2022-11-23 01:39:56 3968:3968 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:39:57.4740631Z ok (0.050s) 2022-11-23T01:39:57.4740637Z 2022-11-23T01:39:57.4740843Z ---------------------------------------------------------------------- 2022-11-23T01:39:57.4740926Z Ran 2646 tests in 117.159s 2022-11-23T01:39:57.4740931Z 2022-11-23T01:39:57.4741030Z OK (skipped=117, expected failures=10) 2022-11-23T01:39:57.4741035Z 2022-11-23T01:39:57.4741121Z Generating XML reports... 2022-11-23T01:39:57.4741455Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_alias_analysis.TestAliasAnalysis-20221123013759.xml 2022-11-23T01:39:57.4741781Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_async.TestAsync-20221123013759.xml 2022-11-23T01:39:57.4742074Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_aten_pow.TestAtenPow-20221123013759.xml 2022-11-23T01:39:57.4742388Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_autodiff.TestAutodiffJit-20221123013759.xml 2022-11-23T01:39:57.4742766Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_autodiff_subgraph_slicing.TestAutodiffSubgraphSlicing-20221123013759.xml 2022-11-23T01:39:57.4743067Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_backends.TestBackends-20221123013759.xml 2022-11-23T01:39:57.4743404Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_backends.TestBackendsWithCompiler-20221123013759.xml 2022-11-23T01:39:57.4743694Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_batch_mm.TestBatchMM-20221123013759.xml 2022-11-23T01:39:57.4743995Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_builtins.TestBuiltins-20221123013759.xml 2022-11-23T01:39:57.4744294Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_class_type.TestClassType-20221123013759.xml 2022-11-23T01:39:57.4744573Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_complex.TestComplex-20221123013759.xml 2022-11-23T01:39:57.4744909Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_custom_operators.TestCustomOperators-20221123013759.xml 2022-11-23T01:39:57.4745175Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_dce.TestDCE-20221123013759.xml 2022-11-23T01:39:57.4745491Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_dataclasses.TestDataclasses-20221123013759.xml 2022-11-23T01:39:57.4745820Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_device_analysis.TestDeviceAnalysis-20221123013759.xml 2022-11-23T01:39:57.4746108Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_list_dict.TestDict-20221123013759.xml 2022-11-23T01:39:57.4746434Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_dtype_analysis.TestDtypeAnalysis-20221123013759.xml 2022-11-23T01:39:57.4746783Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_dtype_analysis.TestDtypeCustomRulesCPU-20221123013759.xml 2022-11-23T01:39:57.4747059Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_enum.TestEnum-20221123013759.xml 2022-11-23T01:39:57.4747357Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_freezing.TestFreezing-20221123013759.xml 2022-11-23T01:39:57.4747606Z Generated XML report: test-reports/python-unittest/test_jit/TEST-TestFrontend-20221123013759.xml 2022-11-23T01:39:57.4747937Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_freezing.TestFrozenOptimizations-20221123013759.xml 2022-11-23T01:39:57.4748350Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_functional_blocks.TestFunctionalBlocks-20221123013759.xml 2022-11-23T01:39:57.4748789Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_convert_activation.TestFunctionalToInplaceActivation-20221123013759.xml 2022-11-23T01:39:57.4749099Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_attr.TestGetDefaultAttr-20221123013759.xml 2022-11-23T01:39:57.4749450Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_graph_rewrite_passes.TestGraphRewritePasses-20221123013759.xml 2022-11-23T01:39:57.4749726Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_hash.TestHash-20221123013759.xml 2022-11-23T01:39:57.4750007Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_hooks.TestHooks-20221123013759.xml 2022-11-23T01:39:57.4750359Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_ignorable_args.TestIgnorableArgs-20221123013759.xml 2022-11-23T01:39:57.4750720Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_ignore_context_manager.TestIgnoreContextManager-20221123013759.xml 2022-11-23T01:39:57.4751103Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_convert_activation.TestInplaceToFunctionalActivation-20221123013759.xml 2022-11-23T01:39:57.4751412Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_isinstance.TestIsinstance-20221123013759.xml 2022-11-23T01:39:57.4751661Z Generated XML report: test-reports/python-unittest/test_jit/TEST-TestJit-20221123013759.xml 2022-11-23T01:39:57.4751953Z Generated XML report: test-reports/python-unittest/test_jit/TEST-TestJitGeneratedModule-20221123013759.xml 2022-11-23T01:39:57.4752248Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_jit_utils.TestJitUtils-20221123013759.xml 2022-11-23T01:39:57.4752533Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_list_dict.TestList-20221123013759.xml 2022-11-23T01:39:57.4752828Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_logging.TestLogging-20221123013759.xml 2022-11-23T01:39:57.4753160Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_freezing.TestMKLDNNReinplacing-20221123013759.xml 2022-11-23T01:39:57.4753440Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_misc.TestMisc-20221123013759.xml 2022-11-23T01:39:57.4753751Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_tracer.TestMixTracingScripting-20221123013759.xml 2022-11-23T01:39:57.4754037Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_models.TestModels-20221123013759.xml 2022-11-23T01:39:57.4754336Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_module_apis.TestModuleAPIs-20221123013759.xml 2022-11-23T01:39:57.4754691Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_module_containers.TestModuleContainers-20221123013759.xml 2022-11-23T01:39:57.4755026Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_module_interface.TestModuleInterface-20221123013759.xml 2022-11-23T01:39:57.4755319Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_modules.TestModules-20221123013759.xml 2022-11-23T01:39:57.4755618Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_list_dict.TestNamedTuple-20221123013759.xml 2022-11-23T01:39:57.4755930Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_backend_nnapi.TestNnapiBackend-20221123013759.xml 2022-11-23T01:39:57.4756277Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_op_decompositions.TestOpDecompositions-20221123013759.xml 2022-11-23T01:39:57.4756705Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_optimize_for_mobile_preserve_debug_info.TestOptimizeForMobilePreserveDebugInfo-20221123013759.xml 2022-11-23T01:39:57.4757039Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_parametrization.TestParametrization-20221123013759.xml 2022-11-23T01:39:57.4757376Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_peephole.TestPeephole-20221123013759.xml 2022-11-23T01:39:57.4757661Z Generated XML report: test-reports/python-unittest/test_jit/TEST-TestProducerVersion-20221123013759.xml 2022-11-23T01:39:57.4757958Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_profiler.TestProfiler-20221123013759.xml 2022-11-23T01:39:57.4758288Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_python_bindings.TestPythonBindings-20221123013759.xml 2022-11-23T01:39:57.4758621Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_python_builtins.TestPythonBuiltinOP-20221123013759.xml 2022-11-23T01:39:57.4758965Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_python_ir.TestPythonIr-20221123013759.xml 2022-11-23T01:39:57.4759292Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_recursive_script.TestRecursiveScript-20221123013759.xml 2022-11-23T01:39:57.4759618Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_remove_mutation.TestRemoveMutation-20221123013759.xml 2022-11-23T01:39:57.4759909Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_save_load.TestSaveLoad-20221123013759.xml 2022-11-23T01:39:57.4760255Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_save_load_for_op_version.TestSaveLoadForOpVersion-20221123013759.xml 2022-11-23T01:39:57.4760510Z Generated XML report: test-reports/python-unittest/test_jit/TEST-TestScript-20221123013759.xml 2022-11-23T01:39:57.4760806Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_list_dict.TestScriptDict-20221123013759.xml 2022-11-23T01:39:57.4761103Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_list_dict.TestScriptList-20221123013759.xml 2022-11-23T01:39:57.4761527Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_scriptmod_ann.TestScriptModuleInstanceAttributeTypeAnnotation-20221123013759.xml 2022-11-23T01:39:57.4761853Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_script_profile.TestScriptProfile-20221123013759.xml 2022-11-23T01:39:57.4762137Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_slice.TestSlice-20221123013759.xml 2022-11-23T01:39:57.4762424Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_sparse.TestSparse-20221123013759.xml 2022-11-23T01:39:57.4762768Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_string_formatting.TestStringFormatting-20221123013759.xml 2022-11-23T01:39:57.4763128Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_symbolic_shape_analysis.TestSymbolicShapeAnalysis-20221123013759.xml 2022-11-23T01:39:57.4763435Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_builtins.TestTensorBuiltins-20221123013759.xml 2022-11-23T01:39:57.4763771Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_tensor_creation_ops.TestTensorCreationOps-20221123013759.xml 2022-11-23T01:39:57.4764090Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_tensor_methods.TestTensorMethods-20221123013759.xml 2022-11-23T01:39:57.4764392Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_torchbind.TestTorchbind-20221123013759.xml 2022-11-23T01:39:57.4764677Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_tracer.TestTracer-20221123013759.xml 2022-11-23T01:39:57.4764986Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_type_sharing.TestTypeSharing-20221123013759.xml 2022-11-23T01:39:57.4765305Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_types.TestTypesAndAnnotation-20221123013759.xml 2022-11-23T01:39:57.4765595Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_typing.TestTyping-20221123013759.xml 2022-11-23T01:39:57.4765874Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_union.TestUnion-20221123013759.xml 2022-11-23T01:39:57.4766222Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_unsupported_ops.TestUnsupportedOps-20221123013759.xml 2022-11-23T01:39:57.4766535Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_upgraders.TestUpgraders-20221123013759.xml 2022-11-23T01:39:57.4766806Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_warn.TestWarn-20221123013759.xml 2022-11-23T01:39:57.4767076Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_with.TestWith-20221123013759.xml 2022-11-23T01:39:57.4767396Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_data_parallel.TestDataParallel-20221123013759.xml 2022-11-23T01:39:57.4767751Z Generated XML report: test-reports/python-unittest/test_jit/TEST-jit.test_save_load.TestSaveLoadFlatbuffer-20221123013759.xml 2022-11-23T01:39:57.4767757Z 2022-11-23T01:39:57.4768194Z ##[endgroup] 2022-11-23T01:39:57.4768460Z FINISHED PRINTING LOG FILE of test_jit (/var/lib/jenkins/workspace/test/test-reports/test_jit_ad6g44yf) 2022-11-23T01:39:57.4768466Z 2022-11-23T01:39:59.4287017Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:39:59.5681411Z Ignoring disabled issues: [] 2022-11-23T01:39:59.5842044Z Running test_jit_llga_fuser ... [2022-11-23 01:39:59.583946] 2022-11-23T01:39:59.5844246Z Executing ['/opt/conda/bin/python', '-bb', 'test_jit_llga_fuser.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:39:59.584198] 2022-11-23T01:40:26.3626971Z 2022-11-23T01:40:26.3627771Z Expand the folded group to see the log file of test_functional_autograd_benchmark 2022-11-23T01:40:26.3629007Z ##[group]PRINTING LOG FILE of test_functional_autograd_benchmark (/var/lib/jenkins/workspace/test/test-reports/test_functional_autograd_benchmark_lrn1fv52) 2022-11-23T01:40:26.3629934Z Test results will be stored in test-reports/python-unittest/test_functional_autograd_benchmark 2022-11-23T01:40:26.3630332Z 2022-11-23T01:40:26.3630485Z Running tests... 2022-11-23T01:40:26.3631060Z ---------------------------------------------------------------------- 2022-11-23T01:40:26.3631649Z test_fast_tasks (__main__.TestFunctionalAutogradBenchmark) ... Found functorch: 1.14.0a0+git1cfd385 2022-11-23T01:40:26.3632135Z Results for model resnet18 on task vjp: nans (var: nan) 2022-11-23T01:40:26.3632569Z Results for model resnet18 on task vjp using Functorch: nans (var: nan) 2022-11-23T01:40:26.3632941Z Found functorch: 1.14.0a0+git1cfd385 2022-11-23T01:40:26.3633336Z Results for model ppl_simple_reg on task vjp: nans (var: nan) 2022-11-23T01:40:26.3633785Z Results for model ppl_simple_reg on task vjp using Functorch: nans (var: nan) 2022-11-23T01:40:26.3634229Z Found functorch: 1.14.0a0+git1cfd385 2022-11-23T01:40:26.3634647Z Results for model ppl_robust_reg on task vjp: nans (var: nan) 2022-11-23T01:40:26.3635186Z Results for model ppl_robust_reg on task vjp using Functorch: nans (var: nan) 2022-11-23T01:40:26.3635664Z Found functorch: 1.14.0a0+git1cfd385 2022-11-23T01:40:26.3636102Z Results for model wav2letter on task vjp: nans (var: nan) 2022-11-23T01:40:26.3636622Z Results for model wav2letter on task vjp using Functorch: nans (var: nan) 2022-11-23T01:40:26.3637083Z Found functorch: 1.14.0a0+git1cfd385 2022-11-23T01:40:26.3637518Z Results for model transformer on task vjp: nans (var: nan) 2022-11-23T01:40:26.3638048Z Results for model transformer on task vjp using Functorch: nans (var: nan) 2022-11-23T01:40:26.3638526Z Found functorch: 1.14.0a0+git1cfd385 2022-11-23T01:40:26.3638970Z Results for model multiheadattn on task vjp: nans (var: nan) 2022-11-23T01:40:26.3639516Z Results for model multiheadattn on task vjp using Functorch: nans (var: nan) 2022-11-23T01:40:26.3639952Z ok (38.283s) 2022-11-23T01:40:26.3641785Z test_slow_tasks (__main__.TestFunctionalAutogradBenchmark) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/77260 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:40:26.3642588Z 2022-11-23T01:40:26.3642920Z ---------------------------------------------------------------------- 2022-11-23T01:40:26.3643315Z Ran 2 tests in 38.285s 2022-11-23T01:40:26.3643604Z 2022-11-23T01:40:26.3643733Z OK (skipped=1) 2022-11-23T01:40:26.3643925Z 2022-11-23T01:40:26.3644081Z Generating XML reports... 2022-11-23T01:40:26.3645054Z Generated XML report: test-reports/python-unittest/test_functional_autograd_benchmark/TEST-TestFunctionalAutogradBenchmark-20221123013947.xml 2022-11-23T01:40:26.3645817Z 2022-11-23T01:40:26.3646287Z ##[endgroup] 2022-11-23T01:40:26.3647112Z FINISHED PRINTING LOG FILE of test_functional_autograd_benchmark (/var/lib/jenkins/workspace/test/test-reports/test_functional_autograd_benchmark_lrn1fv52) 2022-11-23T01:40:26.3647606Z 2022-11-23T01:40:28.2795031Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:40:28.4257867Z Ignoring disabled issues: [] 2022-11-23T01:40:28.4426640Z Running inductor/test_minifier ... [2022-11-23 01:40:28.442253] 2022-11-23T01:40:28.4427783Z Executing ['/opt/conda/bin/python', '-bb', 'inductor/test_minifier.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:40:28.442534] 2022-11-23T01:40:40.5779147Z 2022-11-23T01:40:40.5779669Z Expand the folded group to see the log file of test_jit_llga_fuser 2022-11-23T01:40:40.5780554Z ##[group]PRINTING LOG FILE of test_jit_llga_fuser (/var/lib/jenkins/workspace/test/test-reports/test_jit_llga_fuser_389_23xh) 2022-11-23T01:40:40.5781365Z 2022-11-23T01:40:40.5783372Z Running tests... 2022-11-23T01:40:40.5784037Z ---------------------------------------------------------------------- 2022-11-23T01:40:40.5784875Z test_dynamo_aot_ts_onednn (__main__.TestDynamoAOT) ... Test results will be stored in test-reports/python-unittest/test_jit_llga_fuser 2022-11-23T01:40:40.5785620Z skip: Enable when integration with dynamo aot_autograd is more stable (0.001s) 2022-11-23T01:40:40.5786217Z test_context_manager (__main__.TestEnableDisableLlgaFuser) ... ok (0.071s) 2022-11-23T01:40:40.5786813Z test_bn2d_eltwise_cpu_bfloat16 (__main__.TestFusionPatternCPU) ... ok (0.025s) 2022-11-23T01:40:40.5787418Z test_bn2d_eltwise_cpu_float32 (__main__.TestFusionPatternCPU) ... ok (0.023s) 2022-11-23T01:40:40.5821434Z test_conv2d_bn_cpu_bfloat16 (__main__.TestFusionPatternCPU) ... ok (0.036s) 2022-11-23T01:40:40.5821825Z test_conv2d_bn_cpu_float32 (__main__.TestFusionPatternCPU) ... ok (0.038s) 2022-11-23T01:40:40.5822429Z test_conv2d_bn_relu_cpu_bfloat16 (__main__.TestFusionPatternCPU) ... ok (0.045s) 2022-11-23T01:40:40.5823137Z test_conv2d_bn_relu_cpu_float32 (__main__.TestFusionPatternCPU) ... ok (0.032s) 2022-11-23T01:40:40.5823804Z test_conv2d_clamp_cpu_bfloat16 (__main__.TestFusionPatternCPU) ... ok (0.460s) 2022-11-23T01:40:40.5824471Z test_conv2d_clamp_cpu_float32 (__main__.TestFusionPatternCPU) ... ok (0.334s) 2022-11-23T01:40:40.5859638Z test_conv2d_eltwise_cpu_bfloat16 (__main__.TestFusionPatternCPU) ... ok (0.956s) 2022-11-23T01:40:40.5860144Z test_conv2d_eltwise_cpu_float32 (__main__.TestFusionPatternCPU) ... ok (0.742s) 2022-11-23T01:40:40.5860674Z test_conv2d_silu_cpu_bfloat16 (__main__.TestFusionPatternCPU) ... ok (0.250s) 2022-11-23T01:40:40.5861251Z test_conv2d_silu_cpu_float32 (__main__.TestFusionPatternCPU) ... ok (0.165s) 2022-11-23T01:40:40.5861778Z test_conv2d_sum_cpu_bfloat16 (__main__.TestFusionPatternCPU) ... ok (0.131s) 2022-11-23T01:40:40.5862341Z test_conv2d_sum_cpu_float32 (__main__.TestFusionPatternCPU) ... ok (0.127s) 2022-11-23T01:40:40.5862799Z test_ensure_tensor_is_rewrapped_cpu_bfloat16 (__main__.TestFusionPatternCPU) ... ok (0.381s) 2022-11-23T01:40:40.5863144Z test_ensure_tensor_is_rewrapped_cpu_float32 (__main__.TestFusionPatternCPU) ... ok (0.074s) 2022-11-23T01:40:40.5863461Z test_linear_eltwise_cpu_bfloat16 (__main__.TestFusionPatternCPU) ... ok (0.250s) 2022-11-23T01:40:40.5863927Z test_linear_eltwise_cpu_float32 (__main__.TestFusionPatternCPU) ... ok (0.245s) 2022-11-23T01:40:40.5864265Z test_rewrap_tensor_input_to_pytorch_cpu_bfloat16 (__main__.TestFusionPatternCPU) ... ok (0.053s) 2022-11-23T01:40:40.5864617Z test_rewrap_tensor_input_to_pytorch_cpu_float32 (__main__.TestFusionPatternCPU) ... ok (0.042s) 2022-11-23T01:40:40.5865816Z test_wildcard_cpu_bfloat16 (__main__.TestFusionPatternCPU) ... /opt/conda/lib/python3.7/site-packages/torch/jit/_trace.py:1056: TracerWarning: Encountering a list at the output of the tracer might cause the trace to be incorrect, this is only valid if the container structure does not change based on the module's inputs. Consider using a constant container instead (e.g. for `list`, use a `tuple` instead. for `dict`, use a `NamedTuple` instead). If you absolutely need this and know the side effects, pass strict=False to trace() to allow this behavior. 2022-11-23T01:40:40.5866623Z argument_names, 2022-11-23T01:40:40.5866791Z ok (0.034s) 2022-11-23T01:40:40.5867032Z test_wildcard_cpu_float32 (__main__.TestFusionPatternCPU) ... ok (0.027s) 2022-11-23T01:40:40.5867364Z test_wildcard_unsupported_dtype_cpu_int32 (__main__.TestFusionPatternCPU) ... ok (0.008s) 2022-11-23T01:40:40.5867662Z test_vision_alexnet_bfloat16 (__main__.TestModel) ... ok (0.046s) 2022-11-23T01:40:40.5867933Z test_vision_alexnet_float32 (__main__.TestModel) ... ok (0.040s) 2022-11-23T01:40:40.5868288Z test_vision_densenet121_bfloat16 (__main__.TestModel) ... ok (0.040s) 2022-11-23T01:40:40.5868557Z test_vision_densenet121_float32 (__main__.TestModel) ... ok (0.039s) 2022-11-23T01:40:40.5870676Z test_vision_densenet161_bfloat16 (__main__.TestModel) ... ok (0.038s) 2022-11-23T01:40:40.5871068Z test_vision_densenet161_float32 (__main__.TestModel) ... ok (0.042s) 2022-11-23T01:40:40.5871518Z test_vision_densenet169_bfloat16 (__main__.TestModel) ... ok (0.044s) 2022-11-23T01:40:40.5872061Z test_vision_densenet169_float32 (__main__.TestModel) ... ok (0.039s) 2022-11-23T01:40:40.5872402Z test_vision_densenet201_bfloat16 (__main__.TestModel) ... ok (0.041s) 2022-11-23T01:40:40.5872737Z test_vision_densenet201_float32 (__main__.TestModel) ... ok (0.043s) 2022-11-23T01:40:40.5873262Z test_vision_efficientnet_b0_bfloat16 (__main__.TestModel) ... ok (0.038s) 2022-11-23T01:40:40.5873642Z test_vision_efficientnet_b0_float32 (__main__.TestModel) ... ok (0.040s) 2022-11-23T01:40:40.5873917Z test_vision_efficientnet_b1_bfloat16 (__main__.TestModel) ... ok (0.077s) 2022-11-23T01:40:40.5874205Z test_vision_efficientnet_b1_float32 (__main__.TestModel) ... ok (0.045s) 2022-11-23T01:40:40.5874495Z test_vision_efficientnet_b2_bfloat16 (__main__.TestModel) ... ok (0.038s) 2022-11-23T01:40:40.5874765Z test_vision_efficientnet_b2_float32 (__main__.TestModel) ... ok (0.040s) 2022-11-23T01:40:40.5875052Z test_vision_efficientnet_b3_bfloat16 (__main__.TestModel) ... ok (0.038s) 2022-11-23T01:40:40.5875342Z test_vision_efficientnet_b3_float32 (__main__.TestModel) ... ok (0.040s) 2022-11-23T01:40:40.5875757Z test_vision_efficientnet_b4_bfloat16 (__main__.TestModel) ... ok (0.040s) 2022-11-23T01:40:40.5876218Z test_vision_efficientnet_b4_float32 (__main__.TestModel) ... ok (0.040s) 2022-11-23T01:40:40.5876689Z test_vision_efficientnet_b5_bfloat16 (__main__.TestModel) ... ok (0.043s) 2022-11-23T01:40:40.5877189Z test_vision_efficientnet_b5_float32 (__main__.TestModel) ... ok (0.040s) 2022-11-23T01:40:40.5877706Z test_vision_efficientnet_b6_bfloat16 (__main__.TestModel) ... ok (0.042s) 2022-11-23T01:40:40.5878157Z test_vision_efficientnet_b6_float32 (__main__.TestModel) ... ok (0.043s) 2022-11-23T01:40:40.5878646Z test_vision_efficientnet_b7_bfloat16 (__main__.TestModel) ... ok (0.040s) 2022-11-23T01:40:40.5879163Z test_vision_efficientnet_b7_float32 (__main__.TestModel) ... ok (0.042s) 2022-11-23T01:40:40.5879446Z test_vision_googlenet_bfloat16 (__main__.TestModel) ... ok (0.045s) 2022-11-23T01:40:40.5879803Z test_vision_googlenet_float32 (__main__.TestModel) ... ok (0.042s) 2022-11-23T01:40:40.5880082Z test_vision_mnasnet1_0_bfloat16 (__main__.TestModel) ... ok (0.039s) 2022-11-23T01:40:40.5880341Z test_vision_mnasnet1_0_float32 (__main__.TestModel) ... ok (0.038s) 2022-11-23T01:40:40.5880620Z test_vision_mobilenet_v2_bfloat16 (__main__.TestModel) ... ok (0.042s) 2022-11-23T01:40:40.5880901Z test_vision_mobilenet_v2_float32 (__main__.TestModel) ... ok (0.042s) 2022-11-23T01:40:40.5881189Z test_vision_mobilenet_v3_large_bfloat16 (__main__.TestModel) ... ok (0.043s) 2022-11-23T01:40:40.5881465Z test_vision_mobilenet_v3_large_float32 (__main__.TestModel) ... ok (0.041s) 2022-11-23T01:40:40.5881794Z test_vision_regnet_y_400mf_bfloat16 (__main__.TestModel) ... ok (0.047s) 2022-11-23T01:40:40.5882070Z test_vision_regnet_y_400mf_float32 (__main__.TestModel) ... ok (0.044s) 2022-11-23T01:40:40.5882332Z test_vision_resnet50_bfloat16 (__main__.TestModel) ... ok (0.044s) 2022-11-23T01:40:40.5882612Z test_vision_resnet50_float32 (__main__.TestModel) ... ok (0.041s) 2022-11-23T01:40:40.5882887Z test_vision_resnext101_32x8d_bfloat16 (__main__.TestModel) ... ok (0.038s) 2022-11-23T01:40:40.5883167Z test_vision_resnext101_32x8d_float32 (__main__.TestModel) ... ok (0.039s) 2022-11-23T01:40:40.5883434Z test_vision_resnext50_32x4d_bfloat16 (__main__.TestModel) ... ok (0.040s) 2022-11-23T01:40:40.5883712Z test_vision_resnext50_32x4d_float32 (__main__.TestModel) ... ok (0.039s) 2022-11-23T01:40:40.5883995Z test_vision_shufflenet_v2_x1_0_bfloat16 (__main__.TestModel) ... ok (0.043s) 2022-11-23T01:40:40.5884267Z test_vision_shufflenet_v2_x1_0_float32 (__main__.TestModel) ... ok (0.040s) 2022-11-23T01:40:40.5884548Z test_vision_squeezenet1_0_bfloat16 (__main__.TestModel) ... ok (0.042s) 2022-11-23T01:40:40.5884828Z test_vision_squeezenet1_0_float32 (__main__.TestModel) ... ok (0.044s) 2022-11-23T01:40:40.5885095Z test_vision_vgg16_bfloat16 (__main__.TestModel) ... ok (0.039s) 2022-11-23T01:40:40.5885345Z test_vision_vgg16_float32 (__main__.TestModel) ... ok (0.040s) 2022-11-23T01:40:40.5885616Z test_vision_wide_resnet50_2_bfloat16 (__main__.TestModel) ... ok (0.048s) 2022-11-23T01:40:40.5885893Z test_vision_wide_resnet50_2_float32 (__main__.TestModel) ... ok (0.048s) 2022-11-23T01:40:40.5886154Z test_add_cpu_bfloat16 (__main__.TestOpCPU) ... ok (0.111s) 2022-11-23T01:40:40.5886410Z test_add_cpu_float32 (__main__.TestOpCPU) ... ok (0.112s) 2022-11-23T01:40:40.5886672Z test_add_scalar_cpu_bfloat16 (__main__.TestOpCPU) ... ok (0.013s) 2022-11-23T01:40:40.5886932Z test_add_scalar_cpu_float32 (__main__.TestOpCPU) ... ok (0.013s) 2022-11-23T01:40:40.5887616Z test_addmm_cpu_bfloat16 (__main__.TestOpCPU) ... /opt/conda/lib/python3.7/site-packages/torch/jit/_trace.py:890: TracerWarning: Output nr 1. of the traced function does not match the corresponding output of the Python function. Detailed error: 2022-11-23T01:40:40.5888106Z Tensor-likes are not close! 2022-11-23T01:40:40.5888233Z 2022-11-23T01:40:40.5888328Z Mismatched elements: 454 / 2048 (22.2%) 2022-11-23T01:40:40.5888653Z Greatest absolute difference: 0.0625 at index (0, 1) (up to 1e-05 allowed) 2022-11-23T01:40:40.5888996Z Greatest relative difference: 0.0078125 at index (2, 18) (up to 1e-05 allowed) 2022-11-23T01:40:40.5889287Z example_inputs_is_kwarg=isinstance(example_kwarg_inputs, dict), 2022-11-23T01:40:40.5889513Z ok (0.017s) 2022-11-23T01:40:40.5889719Z test_addmm_cpu_float32 (__main__.TestOpCPU) ... ok (0.012s) 2022-11-23T01:40:40.5889988Z test_avg_pool2d_cpu_bfloat16 (__main__.TestOpCPU) ... ok (2.982s) 2022-11-23T01:40:40.5890258Z test_avg_pool2d_cpu_float32 (__main__.TestOpCPU) ... ok (2.817s) 2022-11-23T01:40:40.5890512Z test_bn2d_cpu_bfloat16 (__main__.TestOpCPU) ... ok (0.017s) 2022-11-23T01:40:40.5890767Z test_bn2d_cpu_float32 (__main__.TestOpCPU) ... ok (0.016s) 2022-11-23T01:40:40.5891022Z test_cat_cpu_bfloat16 (__main__.TestOpCPU) ... ok (0.174s) 2022-11-23T01:40:40.5891272Z test_cat_cpu_float32 (__main__.TestOpCPU) ... ok (0.148s) 2022-11-23T01:40:40.5891554Z test_conv2d_cpu_bfloat16 (__main__.TestOpCPU) ... ok (10.900s) 2022-11-23T01:40:40.5891818Z test_conv2d_cpu_float32 (__main__.TestOpCPU) ... ok (9.505s) 2022-11-23T01:40:40.5892083Z test_eltwise_cpu_bfloat16 (__main__.TestOpCPU) ... ok (0.025s) 2022-11-23T01:40:40.5892331Z test_eltwise_cpu_float32 (__main__.TestOpCPU) ... ok (0.023s) 2022-11-23T01:40:40.5892605Z test_identity_binary_cpu_bfloat16 (__main__.TestOpCPU) ... ok (0.007s) 2022-11-23T01:40:40.5892888Z test_identity_binary_cpu_float32 (__main__.TestOpCPU) ... ok (0.006s) 2022-11-23T01:40:40.5893166Z test_layer_norm_cpu_bfloat16 (__main__.TestOpCPU) ... ok (0.019s) 2022-11-23T01:40:40.5893464Z test_layer_norm_cpu_float32 (__main__.TestOpCPU) ... ok (0.016s) 2022-11-23T01:40:40.5893746Z test_linear_cpu_bfloat16 (__main__.TestOpCPU) ... ok (0.038s) 2022-11-23T01:40:40.5894003Z test_linear_cpu_float32 (__main__.TestOpCPU) ... ok (0.031s) 2022-11-23T01:40:40.5894258Z test_max_pool2d_cpu_bfloat16 (__main__.TestOpCPU) ... ok (1.993s) 2022-11-23T01:40:40.5894524Z test_max_pool2d_cpu_float32 (__main__.TestOpCPU) ... ok (1.839s) 2022-11-23T01:40:40.5894783Z test_mul_cpu_bfloat16 (__main__.TestOpCPU) ... ok (0.099s) 2022-11-23T01:40:40.5895035Z test_mul_cpu_float32 (__main__.TestOpCPU) ... ok (0.093s) 2022-11-23T01:40:40.5895278Z test_softmax_cpu_bfloat16 (__main__.TestOpCPU) ... ok (0.084s) 2022-11-23T01:40:40.5895539Z test_softmax_cpu_float32 (__main__.TestOpCPU) ... ok (0.082s) 2022-11-23T01:40:40.5895809Z test_typecheck_cpu_bfloat16 (__main__.TestOpCPU) ... ok (0.023s) 2022-11-23T01:40:40.5896068Z test_typecheck_cpu_float32 (__main__.TestOpCPU) ... ok (0.015s) 2022-11-23T01:40:40.5896357Z test_variable_kernel_avg_pool2d_cpu_bfloat16 (__main__.TestOpCPU) ... ok (0.013s) 2022-11-23T01:40:40.5896664Z test_variable_kernel_avg_pool2d_cpu_float32 (__main__.TestOpCPU) ... ok (0.012s) 2022-11-23T01:40:40.5896835Z 2022-11-23T01:40:40.5897033Z ---------------------------------------------------------------------- 2022-11-23T01:40:40.5897263Z Ran 107 tests in 37.922s 2022-11-23T01:40:40.5897375Z 2022-11-23T01:40:40.5897446Z OK (skipped=1) 2022-11-23T01:40:40.5897550Z 2022-11-23T01:40:40.5897633Z Generating XML reports... 2022-11-23T01:40:40.5898071Z Generated XML report: test-reports/python-unittest/test_jit_llga_fuser/TEST-TestEnableDisableLlgaFuser-20221123014001.xml 2022-11-23T01:40:40.5898635Z Generated XML report: test-reports/python-unittest/test_jit_llga_fuser/TEST-TestFusionPatternCPU-20221123014001.xml 2022-11-23T01:40:40.5899359Z Generated XML report: test-reports/python-unittest/test_jit_llga_fuser/TEST-TestModel-20221123014001.xml 2022-11-23T01:40:40.5899846Z Generated XML report: test-reports/python-unittest/test_jit_llga_fuser/TEST-TestOpCPU-20221123014001.xml 2022-11-23T01:40:40.5900323Z Generated XML report: test-reports/python-unittest/test_jit_llga_fuser/TEST-TestDynamoAOT-20221123014001.xml 2022-11-23T01:40:40.5900547Z 2022-11-23T01:40:40.5900909Z ##[endgroup] 2022-11-23T01:40:40.5901562Z FINISHED PRINTING LOG FILE of test_jit_llga_fuser (/var/lib/jenkins/workspace/test/test-reports/test_jit_llga_fuser_389_23xh) 2022-11-23T01:40:40.5901894Z 2022-11-23T01:40:42.4362207Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:40:42.6299329Z Ignoring disabled issues: [] 2022-11-23T01:40:42.6461256Z Running dynamo/test_dynamic_shapes ... [2022-11-23 01:40:42.645735] 2022-11-23T01:40:42.6462279Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_dynamic_shapes.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:40:42.646003] 2022-11-23T01:40:54.4397561Z 2022-11-23T01:40:54.4398208Z Expand the folded group to see the log file of inductor/test_minifier 2022-11-23T01:40:54.4399318Z ##[group]PRINTING LOG FILE of inductor/test_minifier (/var/lib/jenkins/workspace/test/test-reports/inductor-test_minifier_37qsvr9h) 2022-11-23T01:40:54.4400290Z Test results will be stored in test-reports/python-unittest/inductor.test_minifier 2022-11-23T01:40:54.4400585Z 2022-11-23T01:40:54.4400958Z Running tests... 2022-11-23T01:40:54.4401498Z ---------------------------------------------------------------------- 2022-11-23T01:40:54.4402097Z test_after_aot_cpu_accuracy_backend_passes (__main__.MinifierTests) ... ok (9.106s) 2022-11-23T01:40:54.4402840Z test_after_aot_cpu_accuracy_error (__main__.MinifierTests) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:40:54.4403561Z test_after_aot_cpu_compile_backend_passes (__main__.MinifierTests) ... ok (7.689s) 2022-11-23T01:40:54.4404325Z test_after_aot_cpu_compile_error (__main__.MinifierTests) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:40:54.4405188Z test_after_aot_cpu_runtime_backend_passes (__main__.MinifierTests) ... ok (7.504s) 2022-11-23T01:40:54.4405941Z test_after_aot_cpu_runtime_error (__main__.MinifierTests) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.000s) 2022-11-23T01:40:54.4406734Z test_after_aot_cuda_accuracy_backend_passes (__main__.MinifierTests) ... skip: requires cuda (0.000s) 2022-11-23T01:40:54.4407446Z test_after_aot_cuda_accuracy_error (__main__.MinifierTests) ... skip: requires cuda (0.000s) 2022-11-23T01:40:54.4408125Z test_after_aot_cuda_compile_backend_passes (__main__.MinifierTests) ... skip: requires cuda (0.000s) 2022-11-23T01:40:54.4408820Z test_after_aot_cuda_compile_error (__main__.MinifierTests) ... skip: requires cuda (0.000s) 2022-11-23T01:40:54.4409469Z test_after_aot_cuda_runtime_backend_passes (__main__.MinifierTests) ... ok (0.001s) 2022-11-23T01:40:54.4410068Z test_after_aot_cuda_runtime_error (__main__.MinifierTests) ... ok (0.001s) 2022-11-23T01:40:54.4410414Z 2022-11-23T01:40:54.4410888Z ---------------------------------------------------------------------- 2022-11-23T01:40:54.4411371Z Ran 12 tests in 24.306s 2022-11-23T01:40:54.4411603Z 2022-11-23T01:40:54.4411753Z OK (skipped=7) 2022-11-23T01:40:54.4411967Z 2022-11-23T01:40:54.4412133Z Generating XML reports... 2022-11-23T01:40:54.4412980Z Generated XML report: test-reports/python-unittest/inductor.test_minifier/TEST-MinifierTests-20221123014029.xml 2022-11-23T01:40:54.4413453Z 2022-11-23T01:40:54.4413985Z ##[endgroup] 2022-11-23T01:40:54.4414784Z FINISHED PRINTING LOG FILE of inductor/test_minifier (/var/lib/jenkins/workspace/test/test-reports/inductor-test_minifier_37qsvr9h) 2022-11-23T01:40:54.4415258Z 2022-11-23T01:40:56.3797036Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:40:56.5179457Z Ignoring disabled issues: [] 2022-11-23T01:40:56.5341414Z Running test_testing ... [2022-11-23 01:40:56.533838] 2022-11-23T01:40:56.5343207Z Executing ['/opt/conda/bin/python', '-bb', 'test_testing.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:40:56.534117] 2022-11-23T01:41:07.9376510Z 2022-11-23T01:41:07.9377075Z Expand the folded group to see the log file of dynamo/test_dynamic_shapes 2022-11-23T01:41:07.9378168Z ##[group]PRINTING LOG FILE of dynamo/test_dynamic_shapes (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_dynamic_shapes_cugs__fz) 2022-11-23T01:41:07.9379240Z Test results will be stored in test-reports/python-unittest/dynamo.test_dynamic_shapes 2022-11-23T01:41:07.9379580Z 2022-11-23T01:41:07.9379707Z Running tests... 2022-11-23T01:41:07.9380218Z ---------------------------------------------------------------------- 2022-11-23T01:41:07.9380837Z test_dict_return_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.390s) 2022-11-23T01:41:07.9381876Z test_dict_return_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:41:07.9382663Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:41:07.9382983Z ok (0.031s) 2022-11-23T01:41:07.9383752Z test_dupes_2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:41:07.9384156Z ok (0.014s) 2022-11-23T01:41:07.9384796Z test_dupes_2_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:41:07.9385255Z ok (0.017s) 2022-11-23T01:41:07.9386042Z test_dupes_and_bypass_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:41:07.9386668Z ok (0.018s) 2022-11-23T01:41:07.9387566Z test_dupes_and_bypass_reorder_with_non_tensor_arg_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:41:07.9388194Z ok (0.114s) 2022-11-23T01:41:07.9389283Z test_dupes_and_bypass_reorder_with_non_tensor_arg_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:41:07.9390310Z ok (0.022s) 2022-11-23T01:41:07.9391161Z test_dupes_and_bypass_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:41:07.9391794Z ok (0.020s) 2022-11-23T01:41:07.9392504Z test_dupes_and_bypass_with_non_tensor_arg_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:41:07.9393023Z ok (0.017s) 2022-11-23T01:41:07.9393840Z test_dupes_and_bypass_with_non_tensor_arg_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:41:07.9394695Z ok (0.020s) 2022-11-23T01:41:07.9395675Z test_dupes_and_bypass_with_non_tensor_output_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:41:07.9396283Z ok (0.024s) 2022-11-23T01:41:07.9397439Z test_dupes_and_bypass_with_non_tensor_output_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:41:07.9398088Z ok (0.021s) 2022-11-23T01:41:07.9398852Z test_dupes_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:41:07.9399465Z ok (0.013s) 2022-11-23T01:41:07.9400394Z test_dupes_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:41:07.9401086Z ok (0.017s) 2022-11-23T01:41:07.9401996Z test_export_compare_optimize_with_make_fx_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)] 2022-11-23T01:41:07.9402662Z ok (0.072s) 2022-11-23T01:41:07.9403215Z test_export_decomp_asserts_bad_args_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.001s) 2022-11-23T01:41:07.9404036Z test_export_decomp_asserts_bad_args_mode_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.001s) 2022-11-23T01:41:07.9405459Z test_export_decomp_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:41:07.9405969Z ok (0.031s) 2022-11-23T01:41:07.9406429Z test_export_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9406997Z stats [('calls_captured', 80), ('fusions_possible', 78), ('unique_graphs', 2)] 2022-11-23T01:41:07.9407295Z ok (0.166s) 2022-11-23T01:41:07.9407885Z test_export_graph_bypass_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:41:07.9408353Z ok (0.022s) 2022-11-23T01:41:07.9408882Z test_export_graph_bypass_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:41:07.9409295Z ok (0.024s) 2022-11-23T01:41:07.9409901Z test_export_graph_with_complex_reorder_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:41:07.9410318Z ok (0.029s) 2022-11-23T01:41:07.9410872Z test_export_graph_with_complex_reorder_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:41:07.9411302Z ok (0.034s) 2022-11-23T01:41:07.9411854Z test_export_graph_with_list_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:41:07.9425074Z ok (0.025s) 2022-11-23T01:41:07.9425709Z test_export_graph_with_list_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:41:07.9426081Z ok (0.028s) 2022-11-23T01:41:07.9426570Z test_export_meta_val_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9426892Z ok (0.055s) 2022-11-23T01:41:07.9427379Z test_export_mismatched_out_2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:41:07.9427718Z ok (0.020s) 2022-11-23T01:41:07.9428219Z test_export_mismatched_out_2_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:41:07.9428648Z ok (0.020s) 2022-11-23T01:41:07.9429139Z test_export_mismatched_out_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:41:07.9429482Z ok (0.018s) 2022-11-23T01:41:07.9429982Z test_export_mismatched_out_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:41:07.9430337Z ok (0.020s) 2022-11-23T01:41:07.9430769Z test_export_shape_control_flow_1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9431205Z stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)] 2022-11-23T01:41:07.9431422Z ok (0.028s) 2022-11-23T01:41:07.9431725Z test_export_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9432149Z stats [('calls_captured', 80), ('fusions_possible', 78), ('unique_graphs', 2)] 2022-11-23T01:41:07.9432486Z ok (0.150s) 2022-11-23T01:41:07.9433000Z test_export_with_constant_dict_values_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9433349Z ok (0.019s) 2022-11-23T01:41:07.9433888Z test_export_with_constant_free_function_and_class_method_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9434253Z ok (0.081s) 2022-11-23T01:41:07.9434808Z test_export_with_constant_free_function_and_class_method_multiarg_diff_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9435250Z ok (0.017s) 2022-11-23T01:41:07.9435807Z test_export_with_constant_free_function_and_class_method_multiarg_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9436169Z ok (0.036s) 2022-11-23T01:41:07.9436676Z test_export_with_constant_free_function_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9437031Z ok (0.032s) 2022-11-23T01:41:07.9437556Z test_export_with_constant_list_nonzero_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... unimplemented [('call_function BuiltinVariable(iter) [TensorVariable()] {}', 1)] 2022-11-23T01:41:07.9437929Z expected failure (0.015s) 2022-11-23T01:41:07.9438505Z test_export_with_constant_list_nonzero_free_function_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... unimplemented [('call_function BuiltinVariable(iter) [TensorVariable()] {}', 1)] 2022-11-23T01:41:07.9438900Z expected failure (0.011s) 2022-11-23T01:41:07.9439432Z test_export_with_constant_method_on_module_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9439767Z ok (0.027s) 2022-11-23T01:41:07.9440299Z test_export_with_constant_method_on_module_invoke_twice_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9440663Z ok (0.033s) 2022-11-23T01:41:07.9441176Z test_export_with_constant_none_control_flow_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9441513Z ok (0.008s) 2022-11-23T01:41:07.9442044Z test_export_with_constant_none_control_flow_free_func_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9442405Z ok (0.007s) 2022-11-23T01:41:07.9442924Z test_export_with_constant_not_none_control_flow_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9443264Z ok (0.011s) 2022-11-23T01:41:07.9443796Z test_export_with_constant_not_none_control_flow_free_func_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9444162Z ok (0.010s) 2022-11-23T01:41:07.9444703Z test_export_with_constant_not_none_control_flow_pos_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9445060Z ok (0.012s) 2022-11-23T01:41:07.9445567Z test_export_with_constant_not_return_const_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9445914Z ok (0.007s) 2022-11-23T01:41:07.9446429Z test_export_with_constant_tuple_nonzero_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... unimplemented [('call_function BuiltinVariable(iter) [TensorVariable()] {}', 1)] 2022-11-23T01:41:07.9446842Z expected failure (0.010s) 2022-11-23T01:41:07.9447355Z test_export_with_module_layer_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 7), ('fusions_possible', 4), ('unique_graphs', 3)] 2022-11-23T01:41:07.9447694Z ok (0.020s) 2022-11-23T01:41:07.9448174Z test_export_with_stack_trace_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)] 2022-11-23T01:41:07.9448511Z ok (0.048s) 2022-11-23T01:41:07.9448806Z test_func_return_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9449218Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:41:07.9449428Z ok (0.030s) 2022-11-23T01:41:07.9449734Z test_func_return_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9450163Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:41:07.9450371Z ok (0.035s) 2022-11-23T01:41:07.9450844Z test_list_unpack_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:41:07.9451172Z ok (0.023s) 2022-11-23T01:41:07.9451661Z test_list_unpack_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:41:07.9451988Z ok (0.027s) 2022-11-23T01:41:07.9452504Z test_zeroes_in_and_out_different_shape_on_test_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:41:07.9452854Z ok (0.025s) 2022-11-23T01:41:07.9453402Z test_zeroes_in_and_out_different_shape_on_test_with_aten_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:41:07.9453755Z ok (0.031s) 2022-11-23T01:41:07.9454258Z test_zeroes_in_new_shape_scalar_out_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 16), ('fusions_possible', 14), ('unique_graphs', 2)] 2022-11-23T01:41:07.9454605Z ok (0.033s) 2022-11-23T01:41:07.9455129Z test_zeroes_in_new_shape_scalar_out_permute_dupe_and_bypass_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 22), ('fusions_possible', 20), ('unique_graphs', 2)] 2022-11-23T01:41:07.9455497Z ok (0.040s) 2022-11-23T01:41:07.9456017Z test_zeroes_in_new_shape_scalar_out_permute_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 22), ('fusions_possible', 20), ('unique_graphs', 2)] 2022-11-23T01:41:07.9456370Z ok (0.039s) 2022-11-23T01:41:07.9456812Z test_T_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9457126Z ok (0.023s) 2022-11-23T01:41:07.9457617Z test_add_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9457940Z ok (0.014s) 2022-11-23T01:41:07.9458226Z test_build_list_unpack_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9458644Z stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:41:07.9459030Z ok (0.030s) 2022-11-23T01:41:07.9459331Z test_chunks1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: requires static shapes (0.001s) 2022-11-23T01:41:07.9460019Z test_const_tuple_add1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:41:07.9460354Z ok (0.019s) 2022-11-23T01:41:07.9460839Z test_const_tuple_add2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:41:07.9461159Z ok (0.018s) 2022-11-23T01:41:07.9461631Z test_constant1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9461957Z ok (0.020s) 2022-11-23T01:41:07.9462424Z test_constant2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9462734Z ok (0.019s) 2022-11-23T01:41:07.9463200Z test_constant3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9463531Z ok (0.010s) 2022-11-23T01:41:07.9463999Z test_constant4_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9464310Z ok (0.012s) 2022-11-23T01:41:07.9464790Z test_default_dict_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9465123Z ok (0.020s) 2022-11-23T01:41:07.9465572Z test_del_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9465898Z ok (0.017s) 2022-11-23T01:41:07.9466378Z test_device_constant_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9466715Z ok (0.014s) 2022-11-23T01:41:07.9467171Z test_device_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9467501Z ok (0.009s) 2022-11-23T01:41:07.9467973Z test_dict_copy_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9468357Z ok (0.010s) 2022-11-23T01:41:07.9468814Z test_dict_ops_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)] 2022-11-23T01:41:07.9469144Z ok (0.032s) 2022-11-23T01:41:07.9469622Z test_dict_param_keys_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9469981Z ok (0.011s) 2022-11-23T01:41:07.9470459Z test_dtype_compare_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9470793Z ok (0.016s) 2022-11-23T01:41:07.9471253Z test_dtype_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9471566Z ok (0.010s) 2022-11-23T01:41:07.9472026Z test_finfo_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9472384Z ok (0.013s) 2022-11-23T01:41:07.9472844Z test_float_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9473152Z ok (0.010s) 2022-11-23T01:41:07.9473628Z test_fn_with_self_set_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:41:07.9473954Z ok (0.107s) 2022-11-23T01:41:07.9474409Z test_fstrings1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9474734Z ok (0.014s) 2022-11-23T01:41:07.9475050Z test_fstrings2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: requires static shapes (0.001s) 2022-11-23T01:41:07.9475664Z test_fstrings3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9475977Z ok (0.010s) 2022-11-23T01:41:07.9476279Z test_funcdef_closure_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9476692Z stats [('calls_captured', 10), ('fusions_possible', 9), ('unique_graphs', 1)] 2022-11-23T01:41:07.9476915Z ok (0.035s) 2022-11-23T01:41:07.9477364Z test_globalfn_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9477690Z ok (0.012s) 2022-11-23T01:41:07.9478161Z test_globalmodule_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9478480Z ok (0.022s) 2022-11-23T01:41:07.9478945Z test_globalvar_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9479275Z ok (0.017s) 2022-11-23T01:41:07.9479738Z test_import1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9480047Z ok (0.016s) 2022-11-23T01:41:07.9480509Z test_indirect1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9480833Z ok (0.012s) 2022-11-23T01:41:07.9481292Z test_indirect2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9481604Z ok (0.012s) 2022-11-23T01:41:07.9482064Z test_indirect3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9482416Z ok (0.012s) 2022-11-23T01:41:07.9482711Z test_inline_jit_annotations_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9483135Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9483362Z ok (0.016s) 2022-11-23T01:41:07.9483837Z test_inline_softmax_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9484153Z ok (0.052s) 2022-11-23T01:41:07.9484457Z test_inline_with_default_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9484906Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9485118Z ok (0.032s) 2022-11-23T01:41:07.9485418Z test_inner_function_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9485828Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9486053Z ok (0.018s) 2022-11-23T01:41:07.9486375Z test_is_contiguous_memory_format_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: requires static shapes (0.001s) 2022-11-23T01:41:07.9487003Z test_is_fx_tracing_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9487328Z ok (0.013s) 2022-11-23T01:41:07.9487813Z test_is_in_onnx_export_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9488132Z ok (0.012s) 2022-11-23T01:41:07.9488603Z test_is_not_null_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9488927Z ok (0.012s) 2022-11-23T01:41:07.9489385Z test_is_quantized_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9489711Z ok (0.012s) 2022-11-23T01:41:07.9490175Z test_is_sparse_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9490496Z ok (0.009s) 2022-11-23T01:41:07.9490952Z test_islice_chain_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)] 2022-11-23T01:41:07.9491274Z ok (0.027s) 2022-11-23T01:41:07.9491744Z test_jit_annotate_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9492072Z ok (0.013s) 2022-11-23T01:41:07.9492535Z test_len_constant_dict_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9492865Z ok (0.010s) 2022-11-23T01:41:07.9493345Z test_len_constant_list_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9493664Z ok (0.010s) 2022-11-23T01:41:07.9494157Z test_len_constant_misc_iterables_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9494494Z ok (0.011s) 2022-11-23T01:41:07.9494831Z test_len_tensor_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... expected failure (0.005s) 2022-11-23T01:41:07.9495417Z test_list_add_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9495741Z ok (0.012s) 2022-11-23T01:41:07.9496214Z test_list_clear_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9496539Z ok (0.017s) 2022-11-23T01:41:07.9497029Z test_list_convert_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:41:07.9497355Z ok (0.020s) 2022-11-23T01:41:07.9497837Z test_list_reversed_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:41:07.9498169Z ok (0.023s) 2022-11-23T01:41:07.9498645Z test_list_slice_assignment_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9499129Z ok (0.010s) 2022-11-23T01:41:07.9499604Z test_list_truth_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9499926Z ok (0.012s) 2022-11-23T01:41:07.9500394Z test_listarg1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9500719Z ok (0.017s) 2022-11-23T01:41:07.9501183Z test_listarg2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9501489Z ok (0.013s) 2022-11-23T01:41:07.9501959Z test_listarg3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9502281Z ok (0.013s) 2022-11-23T01:41:07.9502739Z test_listarg4_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9503046Z ok (0.013s) 2022-11-23T01:41:07.9503502Z test_listarg5_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9503822Z ok (0.013s) 2022-11-23T01:41:07.9504279Z test_load_global_bool_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9504608Z ok (0.010s) 2022-11-23T01:41:07.9504896Z test_map_sum_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9505305Z stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)] 2022-11-23T01:41:07.9505515Z ok (0.036s) 2022-11-23T01:41:07.9505808Z test_methodcall1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9506221Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9506428Z ok (0.021s) 2022-11-23T01:41:07.9506722Z test_methodcall2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9507212Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9507440Z ok (0.018s) 2022-11-23T01:41:07.9507723Z test_methodcall3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9508129Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9508427Z ok (0.017s) 2022-11-23T01:41:07.9508886Z test_min_max_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 11), ('fusions_possible', 10), ('unique_graphs', 1)] 2022-11-23T01:41:07.9509210Z ok (0.028s) 2022-11-23T01:41:07.9509736Z test_module_constant_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:41:07.9510072Z ok (0.023s) 2022-11-23T01:41:07.9510521Z test_ndim_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9510843Z ok (0.010s) 2022-11-23T01:41:07.9511299Z test_pop_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:41:07.9511624Z ok (0.022s) 2022-11-23T01:41:07.9512074Z test_reduce_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9512393Z ok (0.023s) 2022-11-23T01:41:07.9512862Z test_return_dict2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9513174Z ok (0.014s) 2022-11-23T01:41:07.9513644Z test_return_dict_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9513971Z ok (0.013s) 2022-11-23T01:41:07.9514440Z test_return_tuple1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9514755Z ok (0.015s) 2022-11-23T01:41:07.9515216Z test_return_tuple2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9515536Z ok (0.010s) 2022-11-23T01:41:07.9515836Z test_shape1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: requires static shapes (0.001s) 2022-11-23T01:41:07.9516281Z test_shape2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: requires static shapes (0.001s) 2022-11-23T01:41:07.9516886Z test_slice1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9517208Z ok (0.036s) 2022-11-23T01:41:07.9517655Z test_slice2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9517976Z ok (0.026s) 2022-11-23T01:41:07.9518436Z test_slice3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9518756Z ok (0.066s) 2022-11-23T01:41:07.9519207Z test_slice4_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9519527Z ok (0.017s) 2022-11-23T01:41:07.9520017Z test_slice5_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9520341Z ok (0.050s) 2022-11-23T01:41:07.9520785Z test_slice6_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9521109Z ok (0.066s) 2022-11-23T01:41:07.9521583Z test_startswith_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9521935Z ok (0.017s) 2022-11-23T01:41:07.9522238Z test_tensor_len_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... expected failure (0.011s) 2022-11-23T01:41:07.9522701Z test_tensor_new_with_shape_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: requires static shapes (0.001s) 2022-11-23T01:41:07.9523179Z test_tensor_new_with_size_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: requires static shapes (0.001s) 2022-11-23T01:41:07.9523810Z test_transpose_for_scores_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:41:07.9524151Z ok (0.039s) 2022-11-23T01:41:07.9524619Z test_tuple1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9524949Z ok (0.014s) 2022-11-23T01:41:07.9525404Z test_tuple2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9525729Z ok (0.013s) 2022-11-23T01:41:07.9526206Z test_tuple_contains_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9526538Z ok (0.013s) 2022-11-23T01:41:07.9526993Z test_tuple_iadd_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9527323Z ok (0.016s) 2022-11-23T01:41:07.9527789Z test_unpack1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9528119Z ok (0.026s) 2022-11-23T01:41:07.9528571Z test_unpack2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9528891Z ok (0.024s) 2022-11-23T01:41:07.9529351Z test_unpack3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9529661Z ok (0.024s) 2022-11-23T01:41:07.9530128Z test_unpack_ex1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:41:07.9530446Z ok (0.021s) 2022-11-23T01:41:07.9530902Z test_unpack_ex2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:41:07.9531208Z ok (0.021s) 2022-11-23T01:41:07.9531676Z test_unpack_ex3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:41:07.9532032Z ok (0.021s) 2022-11-23T01:41:07.9532503Z test_viamethod_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9532815Z ok (0.012s) 2022-11-23T01:41:07.9533281Z test_viatorch_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9533605Z ok (0.012s) 2022-11-23T01:41:07.9534000Z test_allow_in_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9534453Z stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:41:07.9534676Z ok (0.016s) 2022-11-23T01:41:07.9535153Z test_autocast_cpu_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)] 2022-11-23T01:41:07.9535469Z ok (0.015s) 2022-11-23T01:41:07.9535786Z test_autocast_device_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: requires cuda (0.001s) 2022-11-23T01:41:07.9536235Z test_autocast_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: requires cuda (0.001s) 2022-11-23T01:41:07.9536674Z test_autocast_float64_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: requires cuda (0.001s) 2022-11-23T01:41:07.9537113Z test_autograd_function_equivalence_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9537542Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:41:07.9537768Z ok (0.012s) 2022-11-23T01:41:07.9538299Z test_autograd_profiler_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... STAGE:2022-11-23 01:40:48 5772:5772 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:41:07.9539003Z STAGE:2022-11-23 01:40:48 5772:5772 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:41:07.9539466Z STAGE:2022-11-23 01:40:48 5772:5772 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:41:07.9539892Z [2022-11-23 01:40:48,213] torch._dynamo.variables.torch: [WARNING] Profiler will be ignored 2022-11-23T01:41:07.9540179Z frames [('total', 3), ('ok', 3)] 2022-11-23T01:41:07.9540371Z unimplemented [] 2022-11-23T01:41:07.9540612Z graph_break [('Tensor.tolist', 1)] 2022-11-23T01:41:07.9540917Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:41:07.9541144Z ok (0.030s) 2022-11-23T01:41:07.9541695Z test_autograd_profiler_enabled_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... STAGE:2022-11-23 01:40:48 5772:5772 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:41:07.9542248Z STAGE:2022-11-23 01:40:48 5772:5772 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:41:07.9542676Z STAGE:2022-11-23 01:40:48 5772:5772 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:41:07.9542986Z frames [('total', 3), ('ok', 3)] 2022-11-23T01:41:07.9543170Z unimplemented [] 2022-11-23T01:41:07.9543464Z graph_break [('torch.autograd._profiler_enabled not supported yet', 1)] 2022-11-23T01:41:07.9543827Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:41:07.9544055Z ok (0.023s) 2022-11-23T01:41:07.9544527Z test_boolarg_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)] 2022-11-23T01:41:07.9544841Z ok (0.030s) 2022-11-23T01:41:07.9545203Z test_build_tuple_unpack_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9545627Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:41:07.9545840Z ok (0.034s) 2022-11-23T01:41:07.9546321Z test_builtin_isinstance_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9546658Z ok (0.010s) 2022-11-23T01:41:07.9546980Z test_builtin_subclasses_as_method_on_class_type_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.003s) 2022-11-23T01:41:07.9547467Z test_builtin_subclasses_as_method_on_var_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.004s) 2022-11-23T01:41:07.9548083Z test_callpacked_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:41:07.9548487Z ok (0.030s) 2022-11-23T01:41:07.9548899Z test_cell_output1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9549316Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9549542Z ok (0.010s) 2022-11-23T01:41:07.9549950Z test_cell_output2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:41:07.9550238Z unimplemented [] 2022-11-23T01:41:07.9550625Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:41:07.9551043Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9551269Z ok (0.016s) 2022-11-23T01:41:07.9551741Z test_change_backends_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)] 2022-11-23T01:41:07.9552127Z frames [('total', 2), ('ok', 2)] 2022-11-23T01:41:07.9552305Z ok (0.029s) 2022-11-23T01:41:07.9552685Z test_cond_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 5), ('ok', 5)] 2022-11-23T01:41:07.9552975Z unimplemented [] 2022-11-23T01:41:07.9553256Z graph_break [('Fake tensor mode not yet supported for cond', 2)] 2022-11-23T01:41:07.9553593Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:41:07.9553821Z ok (0.023s) 2022-11-23T01:41:07.9554291Z test_cond_export_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 6), ('unique_graphs', 5), ('fusions_possible', 1)] 2022-11-23T01:41:07.9554616Z ok (0.025s) 2022-11-23T01:41:07.9555097Z test_cond_export_single_arg_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('unique_graphs', 3), ('calls_captured', 2), ('fusions_possible', -1)] 2022-11-23T01:41:07.9555438Z ok (0.014s) 2022-11-23T01:41:07.9555846Z test_cond_nested_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 11), ('ok', 11)] 2022-11-23T01:41:07.9556148Z unimplemented [] 2022-11-23T01:41:07.9556419Z graph_break [('Fake tensor mode not yet supported for cond', 6)] 2022-11-23T01:41:07.9556765Z stats [('calls_captured', 4), ('unique_graphs', 4), ('fusions_possible', 0)] 2022-11-23T01:41:07.9556988Z ok (0.059s) 2022-11-23T01:41:07.9557409Z test_cond_nested_fake_tensor_off_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9557840Z stats [('calls_captured', 6), ('unique_graphs', 5), ('fusions_possible', 1)] 2022-11-23T01:41:07.9558063Z ok (0.024s) 2022-11-23T01:41:07.9558517Z test_config_getattr_default_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:41:07.9558955Z stats [('calls_captured', 21), ('fusions_possible', 18), ('unique_graphs', 3)] 2022-11-23T01:41:07.9559180Z ok (0.054s) 2022-11-23T01:41:07.9559593Z test_config_log_level_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9560006Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9560260Z ok (0.010s) 2022-11-23T01:41:07.9560663Z test_config_obj_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 4), ('ok', 4)] 2022-11-23T01:41:07.9561069Z stats [('calls_captured', 8), ('fusions_possible', 4), ('unique_graphs', 4)] 2022-11-23T01:41:07.9561291Z ok (0.032s) 2022-11-23T01:41:07.9561600Z test_const_dict_variable_python_type_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.001s) 2022-11-23T01:41:07.9562395Z test_cross_entropy_loss_fancy_ctor_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... /opt/conda/lib/python3.7/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. 2022-11-23T01:41:07.9562860Z warnings.warn(warning.format(ret)) 2022-11-23T01:41:07.9563053Z ok (0.002s) 2022-11-23T01:41:07.9563358Z test_cross_entropy_loss_simple_ctor_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.002s) 2022-11-23T01:41:07.9563904Z test_dataclass_fields_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:41:07.9564189Z inline_call [] 2022-11-23T01:41:07.9564486Z stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)] 2022-11-23T01:41:07.9564713Z ok (0.048s) 2022-11-23T01:41:07.9565135Z test_dict_mutation_side_effect_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9565570Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9565794Z ok (0.012s) 2022-11-23T01:41:07.9566247Z test_dict_reconstruct_keeps_original_order_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 14), ('ok', 13)] 2022-11-23T01:41:07.9566767Z unimplemented [("Guard setup for uninitialized class ", 1)] 2022-11-23T01:41:07.9567699Z graph_break [('UnspecializedNNModuleVariable missing add_module', 3), ('construct nn.Module: ReLU', 1), ('call_function in skip_files /opt/conda/lib/python3.7/collections/__init__.py', 1), ('construct nn.Module: ModuleDict', 1), ('Patched init cannot be inlined.', 1), ('construct nn.Module: Linear', 1), ('construct nn.Module: Sigmoid', 1), ('call_method ConstDictVariable() update [TupleVariable()] {}', 1)] 2022-11-23T01:41:07.9568366Z inline_call [('inline __setitem__', 2), ('Patched init cannot be inlined.', 1)] 2022-11-23T01:41:07.9568592Z ok (0.042s) 2022-11-23T01:41:07.9568983Z test_dictcomp_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9569275Z inline_call [] 2022-11-23T01:41:07.9569567Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9569780Z ok (0.012s) 2022-11-23T01:41:07.9570076Z test_disable_optimize_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.002s) 2022-11-23T01:41:07.9570611Z test_disallow_in_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:41:07.9570949Z unimplemented [] 2022-11-23T01:41:07.9571322Z graph_break [('call_function UserDefinedObjectVariable(sub) [TensorVariable(), ConstantVariable(int)] {}', 1)] 2022-11-23T01:41:07.9571730Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:41:07.9571955Z ok (0.019s) 2022-11-23T01:41:07.9572242Z test_dunder_methods_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9572653Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:41:07.9572875Z ok (0.037s) 2022-11-23T01:41:07.9573213Z test_duplicate_graph_break_warning_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... break 2022-11-23T01:41:07.9573488Z break 2022-11-23T01:41:07.9573694Z frames [('total', 9), ('ok', 9)] 2022-11-23T01:41:07.9574026Z inline_call [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 2)] 2022-11-23T01:41:07.9574272Z unimplemented [] 2022-11-23T01:41:07.9574602Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 4)] 2022-11-23T01:41:07.9574977Z stats [('calls_captured', 6), ('unique_graphs', 4), ('fusions_possible', 2)] 2022-11-23T01:41:07.9575188Z ok (0.059s) 2022-11-23T01:41:07.9575696Z test_dynamo_min_operator_with_shape_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9576048Z ok (0.010s) 2022-11-23T01:41:07.9576458Z test_empty_list_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:41:07.9576873Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:41:07.9577096Z ok (0.020s) 2022-11-23T01:41:07.9577582Z test_enum_no_graphbreaks_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)] 2022-11-23T01:41:07.9577924Z ok (0.015s) 2022-11-23T01:41:07.9578337Z test_error_on_nested_fx_trace_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9578906Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9579228Z ok (0.010s) 2022-11-23T01:41:07.9579903Z test_fold_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9580370Z ok (0.008s) 2022-11-23T01:41:07.9581107Z test_frozenset_torch_func_contains_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)] 2022-11-23T01:41:07.9581534Z ok (0.014s) 2022-11-23T01:41:07.9582012Z test_function_annotation_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:41:07.9582351Z ok (0.014s) 2022-11-23T01:41:07.9582821Z test_generate_tensor_from_list_of_numpy_primitive_type_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:41:07.9583159Z unimplemented [] 2022-11-23T01:41:07.9583367Z graph_break [('numpy', 1)] 2022-11-23T01:41:07.9583680Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9583911Z ok (0.008s) 2022-11-23T01:41:07.9584296Z test_grad_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:41:07.9584591Z unimplemented [] 2022-11-23T01:41:07.9584829Z graph_break [('Tensor.backward', 1)] 2022-11-23T01:41:07.9585208Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:41:07.9585438Z ok (0.028s) 2022-11-23T01:41:07.9585857Z test_grad_mode_guard_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:41:07.9586150Z unimplemented [] 2022-11-23T01:41:07.9586384Z graph_break [('Tensor.tolist', 1)] 2022-11-23T01:41:07.9586706Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:41:07.9586931Z ok (0.025s) 2022-11-23T01:41:07.9587328Z test_graph_break_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:41:07.9587672Z unimplemented [] 2022-11-23T01:41:07.9588044Z graph_break [('call_function in skip_files /opt/conda/lib/python3.7/site-packages/torch/_dynamo/__init__.py', 2)] 2022-11-23T01:41:07.9588494Z stats [('calls_captured', 6), ('fusions_possible', 3), ('unique_graphs', 3)] 2022-11-23T01:41:07.9588722Z ok (0.034s) 2022-11-23T01:41:07.9589203Z test_id_of_nn_module_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)] 2022-11-23T01:41:07.9589534Z ok (0.015s) 2022-11-23T01:41:07.9589998Z test_if_cond_nn_mod_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)] 2022-11-23T01:41:07.9590333Z ok (0.019s) 2022-11-23T01:41:07.9590745Z test_inference_mode_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9591161Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9591389Z ok (0.010s) 2022-11-23T01:41:07.9591813Z test_inline_dict_mutation_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9592115Z inline_call [] 2022-11-23T01:41:07.9592396Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9592616Z ok (0.008s) 2022-11-23T01:41:07.9593058Z test_inline_func_jump_on_tensor_condition_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 4), ('ok', 4)] 2022-11-23T01:41:07.9593447Z inline_call [('generic_jump TensorVariable()', 1)] 2022-11-23T01:41:07.9593660Z unimplemented [] 2022-11-23T01:41:07.9593920Z graph_break [('generic_jump TensorVariable()', 1)] 2022-11-23T01:41:07.9594246Z stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)] 2022-11-23T01:41:07.9594465Z ok (0.019s) 2022-11-23T01:41:07.9594885Z test_inline_list_mutation_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9595187Z inline_call [] 2022-11-23T01:41:07.9595471Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9595692Z ok (0.007s) 2022-11-23T01:41:07.9596156Z test_inplace_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9596469Z ok (0.011s) 2022-11-23T01:41:07.9596956Z test_inplace_param_update_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:41:07.9597295Z ok (0.009s) 2022-11-23T01:41:07.9597770Z test_is_floating_point2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9598093Z ok (0.016s) 2022-11-23T01:41:07.9598611Z test_is_floating_point_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9598945Z ok (0.016s) 2022-11-23T01:41:07.9599339Z test_is_tensor2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:41:07.9599759Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:41:07.9599984Z ok (0.016s) 2022-11-23T01:41:07.9600455Z test_is_tensor_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9600796Z ok (0.016s) 2022-11-23T01:41:07.9601214Z test_is_tensor_like2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:41:07.9601519Z unimplemented [] 2022-11-23T01:41:07.9601835Z graph_break [('call_function args: UserDefinedObjectVariable(MyTensor) ', 1)] 2022-11-23T01:41:07.9602215Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:41:07.9602440Z ok (0.012s) 2022-11-23T01:41:07.9602913Z test_is_tensor_like_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)] 2022-11-23T01:41:07.9603230Z ok (0.012s) 2022-11-23T01:41:07.9603703Z test_item_changes_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:41:07.9604031Z ok (0.016s) 2022-11-23T01:41:07.9604516Z test_item_changes_new_shape_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:41:07.9604843Z ok (0.016s) 2022-11-23T01:41:07.9605301Z test_item_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9605617Z ok (0.009s) 2022-11-23T01:41:07.9605903Z test_large_reduction_list_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.011s) 2022-11-23T01:41:07.9606356Z test_linetable_writer_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: use linetable when python >= 3.10 (0.001s) 2022-11-23T01:41:07.9606937Z test_list_append_return_none_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9607370Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9607580Z ok (0.007s) 2022-11-23T01:41:07.9607986Z test_list_mul_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9608272Z ok (0.002s) 2022-11-23T01:41:07.9608672Z test_listcomp_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9608952Z inline_call [] 2022-11-23T01:41:07.9609247Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:41:07.9609470Z ok (0.016s) 2022-11-23T01:41:07.9609748Z test_lnotab_writer_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.001s) 2022-11-23T01:41:07.9610341Z test_manual_seed_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9610671Z ok (0.015s) 2022-11-23T01:41:07.9611165Z test_matmul1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9611477Z ok (0.010s) 2022-11-23T01:41:07.9611774Z test_module_complex_iter_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.010s) 2022-11-23T01:41:07.9612316Z test_module_deepcopy_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 6), ('ok', 6)] 2022-11-23T01:41:07.9612605Z unimplemented [] 2022-11-23T01:41:07.9612921Z graph_break [('call_function in skip_files /opt/conda/lib/python3.7/copy.py', 2)] 2022-11-23T01:41:07.9613202Z inline_call [] 2022-11-23T01:41:07.9613498Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:41:07.9613709Z ok (0.059s) 2022-11-23T01:41:07.9614008Z test_named_parameters_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.026s) 2022-11-23T01:41:07.9614542Z test_namedtuple1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9614950Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9615170Z ok (0.013s) 2022-11-23T01:41:07.9615583Z test_namedtuple2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9616005Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9616218Z ok (0.013s) 2022-11-23T01:41:07.9616626Z test_namedtuple3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9617044Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9617254Z ok (0.010s) 2022-11-23T01:41:07.9617648Z test_nan_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9618055Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9618265Z ok (0.009s) 2022-11-23T01:41:07.9618563Z test_nested_closure_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9619163Z stats [('calls_captured', 9), ('fusions_possible', 7), ('unique_graphs', 2)] 2022-11-23T01:41:07.9619392Z ok (0.032s) 2022-11-23T01:41:07.9619686Z test_nested_closure_mutation_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9620118Z stats [('calls_captured', 11), ('fusions_possible', 9), ('unique_graphs', 2)] 2022-11-23T01:41:07.9620345Z ok (0.022s) 2022-11-23T01:41:07.9620933Z test_nested_disable_decorator_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... [2022-11-23 01:40:49,604] torch._dynamo.convert_frame: [ERROR] WON'T CONVERT fn3 /var/lib/jenkins/workspace/test/dynamo/test_misc.py line 1195 2022-11-23T01:41:07.9621346Z due to: 2022-11-23T01:41:07.9621532Z Traceback (most recent call last): 2022-11-23T01:41:07.9621897Z File "/opt/conda/lib/python3.7/site-packages/torch/_dynamo/exc.py", line 67, in unimplemented 2022-11-23T01:41:07.9622154Z raise Unsupported(msg) 2022-11-23T01:41:07.9622512Z torch._dynamo.exc.Unsupported: call torch._dynamo.disable() wrapped function .fn1 at 0x7ff1a1a095f0> 2022-11-23T01:41:07.9622771Z 2022-11-23T01:41:07.9622844Z from user code: 2022-11-23T01:41:07.9623086Z File "/var/lib/jenkins/workspace/test/dynamo/test_misc.py", line 1197, in fn3 2022-11-23T01:41:07.9623312Z return fn2(x) 2022-11-23T01:41:07.9623551Z File "/var/lib/jenkins/workspace/test/dynamo/test_misc.py", line 1190, in fn2 2022-11-23T01:41:07.9623795Z x = fn1(x) # graph break 2022-11-23T01:41:07.9623899Z 2022-11-23T01:41:07.9624101Z Set torch._dynamo.config.verbose=True for more information 2022-11-23T01:41:07.9624264Z 2022-11-23T01:41:07.9624269Z 2022-11-23T01:41:07.9624390Z frames [('total', 2), ('ok', 2)] 2022-11-23T01:41:07.9624582Z unimplemented [] 2022-11-23T01:41:07.9624999Z graph_break [('call torch._dynamo.disable() wrapped function .fn1 at 0x7ff1a1a095f0>', 1)] 2022-11-23T01:41:07.9625437Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:41:07.9625917Z inline_call [('call torch._dynamo.disable() wrapped function .fn1 at 0x7ff1a1a095f0>', 1)] 2022-11-23T01:41:07.9626260Z ok (0.034s) 2022-11-23T01:41:07.9626560Z test_nested_optimize_decorator_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9626987Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:41:07.9627210Z ok (0.021s) 2022-11-23T01:41:07.9627695Z test_nested_optimize_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)] 2022-11-23T01:41:07.9628014Z ok (0.029s) 2022-11-23T01:41:07.9628580Z test_nested_optimize_run_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)] 2022-11-23T01:41:07.9628913Z ok (0.032s) 2022-11-23T01:41:07.9629210Z test_nn_sequential_invocation_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9629639Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9629866Z ok (0.037s) 2022-11-23T01:41:07.9630200Z test_nn_sequential_invocation_reposition_indices_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9630635Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9630860Z ok (0.028s) 2022-11-23T01:41:07.9631294Z test_no_error_on_nested_fx_trace_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9631718Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9631946Z ok (0.010s) 2022-11-23T01:41:07.9632420Z test_no_grad_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 40), ('fusions_possible', 32), ('unique_graphs', 8)] 2022-11-23T01:41:07.9632752Z ok (0.127s) 2022-11-23T01:41:07.9633204Z test_numel_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)] 2022-11-23T01:41:07.9633533Z ok (0.016s) 2022-11-23T01:41:07.9633954Z test_numpy_int_constant_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9634372Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9634598Z ok (0.010s) 2022-11-23T01:41:07.9635033Z test_numpy_variable_isinstance_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9635474Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9635687Z ok (0.007s) 2022-11-23T01:41:07.9635993Z test_object_classmethod_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9636415Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9636629Z ok (0.006s) 2022-11-23T01:41:07.9636975Z test_object_staticmethod_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9637399Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9637624Z ok (0.007s) 2022-11-23T01:41:07.9638107Z test_onnx_shape_as_tensor_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 15), ('fusions_possible', 10), ('unique_graphs', 5)] 2022-11-23T01:41:07.9638443Z ok (0.030s) 2022-11-23T01:41:07.9638929Z test_optimize_on_module_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9639294Z ok (0.009s) 2022-11-23T01:41:07.9639745Z test_pair_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)] 2022-11-23T01:41:07.9640065Z ok (0.018s) 2022-11-23T01:41:07.9640470Z test_python_slice_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:41:07.9640879Z stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)] 2022-11-23T01:41:07.9641103Z ok (0.069s) 2022-11-23T01:41:07.9641514Z test_raise_on_backend_error_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1)] 2022-11-23T01:41:07.9641906Z stats [('calls_captured', 3), ('fusions_possible', 2)] 2022-11-23T01:41:07.9642100Z ok (0.021s) 2022-11-23T01:41:07.9642496Z test_raises_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:41:07.9642789Z unimplemented [] 2022-11-23T01:41:07.9643087Z graph_break [('call_function BuiltinVariable(str) [TensorVariable()] {}', 1)] 2022-11-23T01:41:07.9643453Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9643676Z ok (0.024s) 2022-11-23T01:41:07.9643967Z test_rand_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: requires cuda (0.001s) 2022-11-23T01:41:07.9644389Z test_range_input_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9644800Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9645022Z ok (0.015s) 2022-11-23T01:41:07.9645450Z test_recursive_inline_list_mutation_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9645764Z inline_call [] 2022-11-23T01:41:07.9646060Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)] 2022-11-23T01:41:07.9646273Z ok (0.018s) 2022-11-23T01:41:07.9646695Z test_release_input_memory_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9647122Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9647346Z ok (0.007s) 2022-11-23T01:41:07.9647756Z test_release_module_memory_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9648188Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9648409Z ok (0.016s) 2022-11-23T01:41:07.9648914Z test_repro_graph_breaks_in__get_item_by_idx_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9649265Z ok (0.020s) 2022-11-23T01:41:07.9649722Z test_return_nested_function_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:41:07.9650152Z stats [('calls_captured', 7), ('fusions_possible', 5), ('unique_graphs', 2)] 2022-11-23T01:41:07.9650362Z ok (0.027s) 2022-11-23T01:41:07.9650656Z test_sample_input_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.979s) 2022-11-23T01:41:07.9651192Z test_setattr_mutation1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:41:07.9651703Z unimplemented [('call_method UserDefinedObjectVariable(member_descriptor) __mul__ [ConstantVariable(int)] {}', 1)] 2022-11-23T01:41:07.9652245Z graph_break [("isinstance called on UserDefinedClass UserDefinedObjectVariable(member_descriptor) ", 1)] 2022-11-23T01:41:07.9652596Z frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9652912Z stats [('calls_captured', 12), ('fusions_possible', 11), ('unique_graphs', 1)] 2022-11-23T01:41:07.9653127Z ok (0.035s) 2022-11-23T01:41:07.9653542Z test_setattr_mutation2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9653840Z inline_call [] 2022-11-23T01:41:07.9654123Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)] 2022-11-23T01:41:07.9654346Z ok (0.026s) 2022-11-23T01:41:07.9654764Z test_setattr_mutation3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9655063Z inline_call [] 2022-11-23T01:41:07.9655345Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)] 2022-11-23T01:41:07.9655567Z ok (0.026s) 2022-11-23T01:41:07.9655979Z test_shape_unpack_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9656388Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9656609Z ok (0.010s) 2022-11-23T01:41:07.9657054Z test_side_effects_codegen_update_mutated_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 6), ('ok', 6)] 2022-11-23T01:41:07.9657377Z unimplemented [] 2022-11-23T01:41:07.9657592Z graph_break [('Tensor.item', 4)] 2022-11-23T01:41:07.9657905Z stats [('calls_captured', 8), ('fusions_possible', 4), ('unique_graphs', 4)] 2022-11-23T01:41:07.9658129Z ok (0.060s) 2022-11-23T01:41:07.9658521Z test_size_input_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:41:07.9659117Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:41:07.9659345Z ok (0.017s) 2022-11-23T01:41:07.9659810Z test_slice_input_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)] 2022-11-23T01:41:07.9660144Z ok (0.021s) 2022-11-23T01:41:07.9660482Z test_tensor_build_list_unpack_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: requires static shapes (0.001s) 2022-11-23T01:41:07.9661112Z test_tensor_data_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9661428Z ok (0.011s) 2022-11-23T01:41:07.9661834Z test_tensor_dict1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9662261Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9662486Z ok (0.010s) 2022-11-23T01:41:07.9662938Z test_tensor_dict2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:41:07.9663362Z stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)] 2022-11-23T01:41:07.9663590Z ok (0.024s) 2022-11-23T01:41:07.9664011Z test_tensor_dot_grad_no_graph_break_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:41:07.9664329Z unimplemented [] 2022-11-23T01:41:07.9664569Z graph_break [('Tensor.backward', 1)] 2022-11-23T01:41:07.9664893Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:41:07.9665104Z ok (0.027s) 2022-11-23T01:41:07.9665564Z test_tensor_is_contiguous_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:41:07.9665991Z stats [('calls_captured', 10), ('fusions_possible', 8), ('unique_graphs', 2)] 2022-11-23T01:41:07.9666202Z ok (0.020s) 2022-11-23T01:41:07.9666626Z test_tensor_item_capture_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9667052Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9667261Z ok (0.014s) 2022-11-23T01:41:07.9667684Z test_tensor_item_no_capture_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9667989Z unimplemented [] 2022-11-23T01:41:07.9668218Z graph_break [('Tensor.item', 1)] 2022-11-23T01:41:07.9668605Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9668833Z ok (0.013s) 2022-11-23T01:41:07.9669309Z test_tensor_layout_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:41:07.9669627Z ok (0.011s) 2022-11-23T01:41:07.9670046Z test_tensor_types_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 10), ('ok', 10)] 2022-11-23T01:41:07.9670478Z stats [('calls_captured', 10), ('unique_graphs', 10), ('fusions_possible', 0)] 2022-11-23T01:41:07.9670706Z ok (0.035s) 2022-11-23T01:41:07.9671177Z test_top_package_import_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9671518Z ok (0.009s) 2022-11-23T01:41:07.9672008Z test_torch_cuda_is_available_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9672349Z ok (0.008s) 2022-11-23T01:41:07.9672773Z test_torch_nn_parameter_isinstance_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9673215Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9673437Z ok (0.009s) 2022-11-23T01:41:07.9673952Z test_torch_profiler_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... STAGE:2022-11-23 01:40:51 5772:5772 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:41:07.9674502Z STAGE:2022-11-23 01:40:51 5772:5772 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:41:07.9674951Z STAGE:2022-11-23 01:40:51 5772:5772 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:41:07.9675373Z [2022-11-23 01:40:51,588] torch._dynamo.variables.torch: [WARNING] Profiler will be ignored 2022-11-23T01:41:07.9675757Z [2022-11-23 01:40:51,591] torch._dynamo.variables.torch: [WARNING] Profiler will be ignored 2022-11-23T01:41:07.9676046Z frames [('total', 3), ('ok', 3)] 2022-11-23T01:41:07.9676234Z unimplemented [] 2022-11-23T01:41:07.9676490Z graph_break [('Tensor.tolist', 1)] 2022-11-23T01:41:07.9676814Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:41:07.9677037Z ok (0.029s) 2022-11-23T01:41:07.9677500Z test_torch_seed_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:41:07.9677826Z ok (0.009s) 2022-11-23T01:41:07.9678297Z test_torch_size_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:41:07.9678654Z ok (0.016s) 2022-11-23T01:41:07.9679052Z test_type_copy_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:41:07.9679477Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:41:07.9679701Z ok (0.025s) 2022-11-23T01:41:07.9680133Z test_typing_variable_isinstance_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9680559Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9680782Z ok (0.011s) 2022-11-23T01:41:07.9681245Z test_unpack4_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)] 2022-11-23T01:41:07.9681560Z ok (0.032s) 2022-11-23T01:41:07.9682029Z test_unpack5_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 8), ('fusions_possible', 7), ('unique_graphs', 1)] 2022-11-23T01:41:07.9682352Z ok (0.026s) 2022-11-23T01:41:07.9682946Z test_unsupported_fake_tensor_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... [2022-11-23 01:40:51,744] torch._dynamo.convert_frame: [ERROR] WON'T CONVERT f /var/lib/jenkins/workspace/test/dynamo/test_misc.py line 1705 2022-11-23T01:41:07.9683341Z due to: 2022-11-23T01:41:07.9683971Z Traceback (most recent call last): 2022-11-23T01:41:07.9684323Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 107, in resolve_key 2022-11-23T01:41:07.9684658Z raise NotImplementedError(f"could not find kernel for {op} at dispatch key {k}") 2022-11-23T01:41:07.9685021Z NotImplementedError: could not find kernel for aten.quantize_per_tensor.default at dispatch key DispatchKey.Meta 2022-11-23T01:41:07.9685242Z 2022-11-23T01:41:07.9685382Z During handling of the above exception, another exception occurred: 2022-11-23T01:41:07.9685551Z 2022-11-23T01:41:07.9685644Z Traceback (most recent call last): 2022-11-23T01:41:07.9686020Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 1015, in to_real_tensor 2022-11-23T01:41:07.9686326Z out = torch.zeros_like(e, device=e.fake_device) 2022-11-23T01:41:07.9686606Z RuntimeError: Cannot call strides() on tensor with symbolic sizes/strides 2022-11-23T01:41:07.9686773Z 2022-11-23T01:41:07.9686910Z The above exception was the direct cause of the following exception: 2022-11-23T01:41:07.9687062Z 2022-11-23T01:41:07.9687157Z Traceback (most recent call last): 2022-11-23T01:41:07.9687514Z File "/opt/conda/lib/python3.7/site-packages/torch/_dynamo/utils.py", line 1114, in run_node 2022-11-23T01:41:07.9687763Z ) from e 2022-11-23T01:41:07.9688255Z RuntimeError: Failed running call_function (*(FakeTensor(FakeTensor(..., device='meta', size=(s0, s0)), cpu), 0.1, 10, torch.quint8), **{}): 2022-11-23T01:41:07.9688662Z Cannot call strides() on tensor with symbolic sizes/strides 2022-11-23T01:41:07.9688893Z (scroll up for backtrace) 2022-11-23T01:41:07.9689013Z 2022-11-23T01:41:07.9689151Z The above exception was the direct cause of the following exception: 2022-11-23T01:41:07.9689317Z 2022-11-23T01:41:07.9689467Z Traceback (most recent call last): 2022-11-23T01:41:07.9689833Z File "/opt/conda/lib/python3.7/site-packages/torch/_dynamo/utils.py", line 1082, in get_fake_value 2022-11-23T01:41:07.9690120Z raise TorchRuntimeError() from e 2022-11-23T01:41:07.9690343Z torch._dynamo.exc.TorchRuntimeError: 2022-11-23T01:41:07.9690484Z 2022-11-23T01:41:07.9690557Z from user code: 2022-11-23T01:41:07.9690801Z File "/var/lib/jenkins/workspace/test/dynamo/test_misc.py", line 1706, in f 2022-11-23T01:41:07.9691090Z return torch.quantize_per_tensor(x, 0.1, 10, torch.quint8) 2022-11-23T01:41:07.9691228Z 2022-11-23T01:41:07.9691387Z Set torch._dynamo.config.verbose=True for more information 2022-11-23T01:41:07.9691547Z 2022-11-23T01:41:07.9691552Z 2022-11-23T01:41:07.9691656Z frames [('total', 1)] 2022-11-23T01:41:07.9691959Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9692173Z ok (0.021s) 2022-11-23T01:41:07.9692636Z test_update_locals_and_stack_uses_shared_cache_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:41:07.9692962Z inline_call [] 2022-11-23T01:41:07.9693134Z unimplemented [] 2022-11-23T01:41:07.9693443Z graph_break [('call_method ListVariable() extend [ListIteratorVariable()] {}', 1)] 2022-11-23T01:41:07.9693683Z ok (0.019s) 2022-11-23T01:41:07.9694179Z test_user_defined_class_name_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9694510Z ok (0.018s) 2022-11-23T01:41:07.9694837Z test_user_function_variable_supports_enum_argument_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9695149Z ok (0.010s) 2022-11-23T01:41:07.9695478Z test_user_function_variable_supports_function_argument_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9695913Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9696137Z ok (0.011s) 2022-11-23T01:41:07.9696475Z test_user_function_variable_supports_type_abcmeta_argument_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9696910Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9697134Z ok (0.010s) 2022-11-23T01:41:07.9697543Z test_user_getattr1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9697839Z inline_call [] 2022-11-23T01:41:07.9698120Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9698342Z ok (0.011s) 2022-11-23T01:41:07.9698897Z test_user_getattr2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9699206Z inline_call [] 2022-11-23T01:41:07.9699511Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9699737Z ok (0.012s) 2022-11-23T01:41:07.9700139Z test_user_property_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9700436Z inline_call [] 2022-11-23T01:41:07.9700734Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9700962Z ok (0.010s) 2022-11-23T01:41:07.9701255Z test_usr_cls_classmethod_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9701674Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9701897Z ok (0.016s) 2022-11-23T01:41:07.9702255Z test_usr_cls_staticmethod_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9702676Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9702901Z ok (0.016s) 2022-11-23T01:41:07.9703193Z test_version_ci_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.001s) 2022-11-23T01:41:07.9703610Z test_write_to_closures_in_inlining_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9704040Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9704350Z ok (0.012s) 2022-11-23T01:41:07.9704813Z test_basicmodule1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9705146Z ok (0.027s) 2022-11-23T01:41:07.9705625Z test_basicmodule2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9705955Z ok (0.027s) 2022-11-23T01:41:07.9706260Z test_call_fn_with_non_const_inputs_safe_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9706692Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9706922Z ok (0.262s) 2022-11-23T01:41:07.9707384Z test_cfgmod_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)] 2022-11-23T01:41:07.9707713Z ok (0.045s) 2022-11-23T01:41:07.9708178Z test_children_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:41:07.9708573Z ok (0.036s) 2022-11-23T01:41:07.9709035Z test_constloop_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)] 2022-11-23T01:41:07.9709366Z ok (0.054s) 2022-11-23T01:41:07.9709662Z test_densenet_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9710071Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)] 2022-11-23T01:41:07.9710281Z ok (0.044s) 2022-11-23T01:41:07.9710582Z test_enumvalues_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9710999Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)] 2022-11-23T01:41:07.9711207Z ok (0.036s) 2022-11-23T01:41:07.9711681Z test_fnmember_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9712014Z ok (0.023s) 2022-11-23T01:41:07.9712482Z test_fnmembercmp1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9712798Z ok (0.024s) 2022-11-23T01:41:07.9713265Z test_fnmembercmp2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9713591Z ok (0.024s) 2022-11-23T01:41:07.9713879Z test_forward_directly_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9714295Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:41:07.9714517Z ok (0.038s) 2022-11-23T01:41:07.9714845Z test_generation_tag_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.003s) 2022-11-23T01:41:07.9715430Z test_hasattr_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9715761Z ok (0.023s) 2022-11-23T01:41:07.9716226Z test_intarg_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9716549Z ok (0.043s) 2022-11-23T01:41:07.9716998Z test_iseval1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9717346Z ok (0.039s) 2022-11-23T01:41:07.9717808Z test_iseval2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9718111Z ok (0.023s) 2022-11-23T01:41:07.9718580Z test_isnonelayer_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9718909Z ok (0.018s) 2022-11-23T01:41:07.9719375Z test_istraining1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9719689Z ok (0.023s) 2022-11-23T01:41:07.9720155Z test_istraining2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9720483Z ok (0.022s) 2022-11-23T01:41:07.9720952Z test_layerlist_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9721268Z ok (0.030s) 2022-11-23T01:41:07.9721953Z test_lazy_module_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T01:41:07.9722551Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T01:41:07.9723220Z [2022-11-23 01:40:52,817] torch._dynamo.symbolic_convert: [WARNING] /opt/conda/lib/python3.7/site-packages/torch/nn/parameter.py [SizeVariable()] {} missing a required argument: 'shape' 2022-11-23T01:41:07.9723954Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T01:41:07.9724439Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T01:41:07.9725002Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T01:41:07.9725486Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T01:41:07.9726132Z [2022-11-23 01:40:52,860] torch._dynamo.symbolic_convert: [WARNING] /opt/conda/lib/python3.7/site-packages/torch/nn/parameter.py [SizeVariable()] {} missing a required argument: 'shape' 2022-11-23T01:41:07.9726876Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T01:41:07.9727388Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T01:41:07.9727677Z frames [('total', 16), ('ok', 14)] 2022-11-23T01:41:07.9728404Z inline_call [('Patched init cannot be inlined.', 3), ('arg mismatch inlining', 2), ('call_function UserDefinedObjectVariable(_infer_parameters) [NNModuleVariable(), TupleVariable()] {}', 1), ('call_function UserDefinedObjectVariable(_infer_parameters) [UnspecializedNNModuleVariable(LazyModule), TupleVariable()] {}', 1)] 2022-11-23T01:41:07.9729072Z unimplemented [("Guard setup for uninitialized class ", 2)] 2022-11-23T01:41:07.9729504Z graph_break [('Patched init cannot be inlined.', 3), ('arg mismatch inlining', 2)] 2022-11-23T01:41:07.9729868Z stats [('calls_captured', 4), ('unique_graphs', 3), ('fusions_possible', 1)] 2022-11-23T01:41:07.9730080Z ok (0.129s) 2022-11-23T01:41:07.9730401Z test_module_attribute_precedence_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9730834Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:41:07.9731052Z ok (0.022s) 2022-11-23T01:41:07.9731341Z test_module_class_method_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9731760Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)] 2022-11-23T01:41:07.9731982Z ok (0.059s) 2022-11-23T01:41:07.9732456Z test_module_name_string_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9732793Z ok (0.025s) 2022-11-23T01:41:07.9733097Z test_module_property_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9733514Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9733729Z ok (0.017s) 2022-11-23T01:41:07.9734031Z test_module_static_method_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9734449Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)] 2022-11-23T01:41:07.9734661Z ok (0.059s) 2022-11-23T01:41:07.9735128Z test_moduledict_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9735456Z ok (0.019s) 2022-11-23T01:41:07.9735933Z test_modulelist_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 40), ('fusions_possible', 39), ('unique_graphs', 1)] 2022-11-23T01:41:07.9736252Z ok (0.197s) 2022-11-23T01:41:07.9736553Z test_modulemethod1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9736973Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)] 2022-11-23T01:41:07.9737185Z ok (0.061s) 2022-11-23T01:41:07.9737490Z test_modulemethod2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9737906Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)] 2022-11-23T01:41:07.9738132Z ok (0.059s) 2022-11-23T01:41:07.9738611Z test_nn_moduledict_contains_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('unique_graphs', 3), ('fusions_possible', 1)] 2022-11-23T01:41:07.9739170Z frames [('total', 2), ('ok', 1)] 2022-11-23T01:41:07.9739451Z inline_call [('Patched init cannot be inlined.', 1)] 2022-11-23T01:41:07.9739899Z unimplemented [("Guard setup for uninitialized class .M'>", 1)] 2022-11-23T01:41:07.9740355Z graph_break [('Patched init cannot be inlined.', 1)] 2022-11-23T01:41:07.9740568Z ok (0.025s) 2022-11-23T01:41:07.9740871Z test_parameters1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9741272Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9741499Z ok (0.014s) 2022-11-23T01:41:07.9741795Z test_parameters2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9742191Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9742453Z ok (0.014s) 2022-11-23T01:41:07.9742934Z test_parameters3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:41:07.9743271Z ok (0.033s) 2022-11-23T01:41:07.9743737Z test_self_mutating1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)] 2022-11-23T01:41:07.9744073Z ok (0.057s) 2022-11-23T01:41:07.9744531Z test_seq_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:41:07.9744839Z ok (0.034s) 2022-11-23T01:41:07.9745453Z test_simple_torch_function_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead. 2022-11-23T01:41:07.9745973Z warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.") 2022-11-23T01:41:07.9746226Z inline_call [] 2022-11-23T01:41:07.9746511Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:41:07.9746997Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead. 2022-11-23T01:41:07.9747397Z warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.") 2022-11-23T01:41:07.9747651Z ok (0.028s) 2022-11-23T01:41:07.9748117Z test_stringmember_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9748535Z ok (0.022s) 2022-11-23T01:41:07.9748832Z test_submodules1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9749237Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)] 2022-11-23T01:41:07.9749464Z ok (0.050s) 2022-11-23T01:41:07.9749762Z test_submodules2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9750174Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)] 2022-11-23T01:41:07.9750383Z ok (0.053s) 2022-11-23T01:41:07.9750678Z test_super1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9751088Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:41:07.9751300Z ok (0.030s) 2022-11-23T01:41:07.9751605Z test_super_class_method_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9752030Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9752251Z ok (0.012s) 2022-11-23T01:41:07.9752709Z test_tensorlist_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:41:07.9753039Z ok (0.038s) 2022-11-23T01:41:07.9753697Z test_torch_function_with_closure_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead. 2022-11-23T01:41:07.9754222Z warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.") 2022-11-23T01:41:07.9754589Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:41:07.9755076Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead. 2022-11-23T01:41:07.9755510Z warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.") 2022-11-23T01:41:07.9755748Z ok (0.024s) 2022-11-23T01:41:07.9756177Z test_unsupportedmethod_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:41:07.9756696Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:41:07.9756986Z unimplemented [] 2022-11-23T01:41:07.9757358Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)] 2022-11-23T01:41:07.9757772Z stats [('calls_captured', 5), ('fusions_possible', 3), ('unique_graphs', 2)] 2022-11-23T01:41:07.9758003Z ok (0.057s) 2022-11-23T01:41:07.9758411Z test_unsupportedmodule_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:41:07.9758924Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:41:07.9759208Z unimplemented [] 2022-11-23T01:41:07.9759586Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)] 2022-11-23T01:41:07.9759981Z stats [('calls_captured', 6), ('fusions_possible', 3), ('unique_graphs', 3)] 2022-11-23T01:41:07.9760202Z ok (0.057s) 2022-11-23T01:41:07.9760503Z test_viamodulecall_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9760906Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:41:07.9761127Z ok (0.029s) 2022-11-23T01:41:07.9761525Z test_Size_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:41:07.9761991Z inline_call [('inline in skipfiles: assertIsInstance /opt/conda/lib/python3.7/unittest/case.py', 1)] 2022-11-23T01:41:07.9762242Z unimplemented [] 2022-11-23T01:41:07.9762593Z graph_break [('inline in skipfiles: assertIsInstance /opt/conda/lib/python3.7/unittest/case.py', 1)] 2022-11-23T01:41:07.9762978Z stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:41:07.9763190Z ok (0.012s) 2022-11-23T01:41:07.9763598Z test_abc_setattr_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:41:07.9763899Z unimplemented [] 2022-11-23T01:41:07.9764317Z graph_break [('setattr(UserDefinedObjectVariable) .Derived.__setattr__ at 0x7ff16f89d560>', 1)] 2022-11-23T01:41:07.9764624Z inline_call [] 2022-11-23T01:41:07.9764918Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9765141Z ok (0.015s) 2022-11-23T01:41:07.9765429Z test_batch_norm_act_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9765845Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9766069Z ok (0.084s) 2022-11-23T01:41:07.9766532Z test_bigbird_unsqueeze_inplace_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9766970Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:41:07.9767253Z aot_autograd [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9767438Z ok (0.552s) 2022-11-23T01:41:07.9767715Z test_boxes_len_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9768121Z stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)] 2022-11-23T01:41:07.9768340Z ok (0.016s) 2022-11-23T01:41:07.9768652Z test_chunk_reformer_ff_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: requires static shapes (0.001s) 2022-11-23T01:41:07.9769313Z test_class_member_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:41:07.9769644Z ok (0.020s) 2022-11-23T01:41:07.9770083Z test_convert_boxes_to_pooler_format_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 4), ('ok', 4)] 2022-11-23T01:41:07.9770383Z inline_call [] 2022-11-23T01:41:07.9770556Z unimplemented [] 2022-11-23T01:41:07.9770866Z graph_break [('dynamic shape operator: aten.repeat_interleave.Tensor', 2)] 2022-11-23T01:41:07.9771224Z stats [('calls_captured', 18), ('fusions_possible', 14), ('unique_graphs', 4)] 2022-11-23T01:41:07.9771462Z expected failure (0.106s) 2022-11-23T01:41:07.9771816Z test_create_rand_mask_from_inputs_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: requires static shapes (0.001s) 2022-11-23T01:41:07.9772268Z test_dict_iter_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.005s) 2022-11-23T01:41:07.9772786Z test_dict_list_values_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 8), ('ok', 8)] 2022-11-23T01:41:07.9773094Z unimplemented [] 2022-11-23T01:41:07.9773542Z graph_break [('call_function in skip_files Builtin count', 2), ('call_function BuiltinVariable(zip) [UserDefinedObjectVariable(count), ListVariable()] {}', 2)] 2022-11-23T01:41:07.9773842Z ok (0.036s) 2022-11-23T01:41:07.9774238Z test_do_paste_mask_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1)] 2022-11-23T01:41:07.9774543Z expected failure (0.026s) 2022-11-23T01:41:07.9775030Z test_ellipsis_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9775345Z ok (0.098s) 2022-11-23T01:41:07.9775755Z test_exec_import_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 5), ('ok', 5)] 2022-11-23T01:41:07.9776198Z inline_call [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)] 2022-11-23T01:41:07.9776434Z unimplemented [] 2022-11-23T01:41:07.9776754Z graph_break [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)] 2022-11-23T01:41:07.9776995Z ok (0.004s) 2022-11-23T01:41:07.9777419Z test_exec_wildcard_import_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 5), ('ok', 5)] 2022-11-23T01:41:07.9777856Z inline_call [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)] 2022-11-23T01:41:07.9778105Z unimplemented [] 2022-11-23T01:41:07.9778426Z graph_break [('call_function BuiltinVariable(exec) [ConstantVariable(str)] {}', 1)] 2022-11-23T01:41:07.9778935Z stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)] 2022-11-23T01:41:07.9779183Z ok (0.012s) 2022-11-23T01:41:07.9779692Z test_for_loop_graph_break_before_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:41:07.9780012Z unimplemented [] 2022-11-23T01:41:07.9780373Z graph_break [('call_function in skip_files /opt/conda/lib/python3.7/site-packages/torch/_dynamo/__init__.py', 1)] 2022-11-23T01:41:07.9780646Z inline_call [] 2022-11-23T01:41:07.9780946Z stats [('calls_captured', 100), ('fusions_possible', 99), ('unique_graphs', 1)] 2022-11-23T01:41:07.9781163Z ok (0.239s) 2022-11-23T01:41:07.9781590Z test_for_loop_graph_break_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:41:07.9781934Z inline_call [] 2022-11-23T01:41:07.9782292Z unimplemented [('call_function in skip_files /opt/conda/lib/python3.7/site-packages/torch/_dynamo/__init__.py', 1)] 2022-11-23T01:41:07.9782697Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9782923Z ok (0.016s) 2022-11-23T01:41:07.9783231Z test_get_parameter_dtype_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9783637Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9783865Z ok (0.018s) 2022-11-23T01:41:07.9784195Z test_grad_mode_carrying_correct_state_after_graph_break_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... Break 2022-11-23T01:41:07.9784545Z frames [('total', 3), ('ok', 3)] 2022-11-23T01:41:07.9784734Z unimplemented [] 2022-11-23T01:41:07.9785058Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)] 2022-11-23T01:41:07.9785423Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:41:07.9785644Z ok (0.018s) 2022-11-23T01:41:07.9786070Z test_guard_fail_nested_tuple_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:41:07.9786267Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:41:07.9786333Z ok (0.017s) 2022-11-23T01:41:07.9786669Z test_guard_fail_tensor_bool_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 12), ('ok', 12)] 2022-11-23T01:41:07.9786859Z unimplemented [('FOR_ITER UserDefinedObjectVariable(product)', 1)] 2022-11-23T01:41:07.9787296Z graph_break [('call torch._dynamo.disable() wrapped function .fn..get_expected at 0x7ff16f727560>', 5), ('data dependent operator: aten.allclose.default', 5)] 2022-11-23T01:41:07.9787497Z stats [('calls_captured', 5), ('unique_graphs', 5), ('fusions_possible', 0)] 2022-11-23T01:41:07.9787562Z ok (0.127s) 2022-11-23T01:41:07.9787774Z test_guard_ordering_shape_fail_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.002s) 2022-11-23T01:41:07.9787982Z test_hf_model_output_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9788177Z stats [('calls_captured', 4), ('unique_graphs', 4), ('fusions_possible', 0)] 2022-11-23T01:41:07.9788305Z ok (0.076s) 2022-11-23T01:41:07.9788496Z test_hf_t5_forward_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9788699Z stats [('calls_captured', 14), ('fusions_possible', 13), ('unique_graphs', 1)] 2022-11-23T01:41:07.9788782Z expected failure (0.690s) 2022-11-23T01:41:07.9789108Z test_indexing_with_list_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:41:07.9789240Z inline_call [('Tensor.numpy', 1)] 2022-11-23T01:41:07.9789451Z unimplemented [('COMPARE_OP ConstantVariable(tuple) == SizeVariable()', 1)] 2022-11-23T01:41:07.9789576Z graph_break [('Tensor.numpy', 1)] 2022-11-23T01:41:07.9789678Z ok (0.026s) 2022-11-23T01:41:07.9789874Z test_is_symbolic_tracing_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9790075Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9790140Z ok (0.009s) 2022-11-23T01:41:07.9790343Z test_isinstance_dtype_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... ok (0.004s) 2022-11-23T01:41:07.9790673Z test_isinstance_storage_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 12), ('ok', 11)] 2022-11-23T01:41:07.9790794Z unimplemented [] 2022-11-23T01:41:07.9791162Z graph_break [('call_function BuiltinVariable(bytearray) [ListVariable()] {}', 1), ('inline in skipfiles: from_buffer /opt/conda/lib/python3.7/site-packages/torch/storage.py', 1)] 2022-11-23T01:41:07.9791427Z inline_call [('inline in skipfiles: from_buffer /opt/conda/lib/python3.7/site-packages/torch/storage.py', 1)] 2022-11-23T01:41:07.9791913Z /opt/conda/lib/python3.7/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:41:07.9792016Z warnings.warn(message, UserWarning) 2022-11-23T01:41:07.9792087Z expected failure (0.016s) 2022-11-23T01:41:07.9792295Z test_issue1466_size_aot_autograd_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... arf 2022-11-23T01:41:07.9792357Z arf 2022-11-23T01:41:07.9792480Z frames [('total', 3), ('ok', 3)] 2022-11-23T01:41:07.9792556Z unimplemented [] 2022-11-23T01:41:07.9792779Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)] 2022-11-23T01:41:07.9792974Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:41:07.9793091Z aot_autograd [('total', 2), ('ok', 2)] 2022-11-23T01:41:07.9793162Z ok (0.222s) 2022-11-23T01:41:07.9793362Z test_issue175_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9793564Z stats [('calls_captured', 12), ('fusions_possible', 11), ('unique_graphs', 1)] 2022-11-23T01:41:07.9793633Z ok (0.174s) 2022-11-23T01:41:07.9794025Z test_longformer_chunk_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 76), ('fusions_possible', 72), ('unique_graphs', 4)] 2022-11-23T01:41:07.9794092Z ok (2.306s) 2022-11-23T01:41:07.9794421Z test_maml_item_capture_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:41:07.9794610Z inline_call [('inlining disallowed: ', 1)] 2022-11-23T01:41:07.9794687Z unimplemented [] 2022-11-23T01:41:07.9794997Z graph_break [('call_function in skip_files /opt/conda/lib/python3.7/copy.py', 1), ('inlining disallowed: ', 1)] 2022-11-23T01:41:07.9795198Z stats [('calls_captured', 36), ('fusions_possible', 33), ('unique_graphs', 3)] 2022-11-23T01:41:07.9795266Z ok (0.086s) 2022-11-23T01:41:07.9795599Z test_maml_no_item_capture_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 5), ('ok', 5)] 2022-11-23T01:41:07.9795800Z inline_call [('inlining disallowed: ', 1)] 2022-11-23T01:41:07.9795877Z unimplemented [] 2022-11-23T01:41:07.9796200Z graph_break [('Tensor.item', 2), ('call_function in skip_files /opt/conda/lib/python3.7/copy.py', 1), ('inlining disallowed: ', 1)] 2022-11-23T01:41:07.9796403Z stats [('calls_captured', 36), ('fusions_possible', 31), ('unique_graphs', 5)] 2022-11-23T01:41:07.9796470Z ok (0.108s) 2022-11-23T01:41:07.9796879Z test_modules_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:41:07.9796948Z ok (0.039s) 2022-11-23T01:41:07.9797271Z test_multi_dot_import_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 4), ('ok', 4)] 2022-11-23T01:41:07.9797558Z inline_call [('inline in skipfiles: symbolic_trace /opt/conda/lib/python3.7/site-packages/torch/fx/_symbolic_trace.py', 1)] 2022-11-23T01:41:07.9797638Z unimplemented [] 2022-11-23T01:41:07.9797907Z graph_break [('inline in skipfiles: symbolic_trace /opt/conda/lib/python3.7/site-packages/torch/fx/_symbolic_trace.py', 1)] 2022-11-23T01:41:07.9798135Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9798203Z ok (0.018s) 2022-11-23T01:41:07.9798428Z test_multi_import_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: requires detectron2 (0.001s) 2022-11-23T01:41:07.9798815Z test_named_buffers_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)] 2022-11-23T01:41:07.9798883Z ok (0.029s) 2022-11-23T01:41:07.9799201Z test_nn_parameter_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:41:07.9799434Z inline_call [('inline in skipfiles: assertTrue /opt/conda/lib/python3.7/unittest/case.py', 1)] 2022-11-23T01:41:07.9799509Z unimplemented [] 2022-11-23T01:41:07.9799727Z graph_break [('inline in skipfiles: assertTrue /opt/conda/lib/python3.7/unittest/case.py', 1)] 2022-11-23T01:41:07.9799928Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9799994Z ok (0.010s) 2022-11-23T01:41:07.9800363Z test_not_rewrite_assert_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... unimplemented [('generic_jump TensorVariable()', 1)] 2022-11-23T01:41:07.9800432Z ok (0.009s) 2022-11-23T01:41:07.9800781Z test_not_rewrite_assert_for_other_errors_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:41:07.9800975Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9801042Z ok (0.012s) 2022-11-23T01:41:07.9801340Z test_numpy_list_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 1)] 2022-11-23T01:41:07.9801413Z unimplemented [] 2022-11-23T01:41:07.9801722Z graph_break [('call torch._dynamo.disable() wrapped function .rand_gen at 0x7ff1a310ac20>', 1)] 2022-11-23T01:41:07.9801804Z expected failure (0.024s) 2022-11-23T01:41:07.9802133Z test_optimized_deepcopy_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9802328Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9802392Z ok (0.024s) 2022-11-23T01:41:07.9802700Z test_primtorch_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:41:07.9802962Z inline_call [('inline in skipfiles: _fn /opt/conda/lib/python3.7/site-packages/torch/_prims_common/wrappers.py', 1)] 2022-11-23T01:41:07.9803036Z unimplemented [] 2022-11-23T01:41:07.9803313Z graph_break [('inline in skipfiles: _fn /opt/conda/lib/python3.7/site-packages/torch/_prims_common/wrappers.py', 1)] 2022-11-23T01:41:07.9803382Z ok (0.010s) 2022-11-23T01:41:07.9803857Z test_primtorch_no_graph_break_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [('inline in skipfiles: _fn /opt/conda/lib/python3.7/site-packages/torch/_prims_common/wrappers.py', 1)] 2022-11-23T01:41:07.9803970Z expected failure (0.005s) 2022-11-23T01:41:07.9804289Z test_recursive_map_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9804361Z inline_call [] 2022-11-23T01:41:07.9804559Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:41:07.9804612Z ok (0.028s) 2022-11-23T01:41:07.9804815Z test_reformer_eval_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9805014Z stats [('calls_captured', 10), ('fusions_possible', 9), ('unique_graphs', 1)] 2022-11-23T01:41:07.9805109Z ok (0.494s) 2022-11-23T01:41:07.9805319Z test_reformer_min_chunk_len_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9805516Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9805581Z ok (0.012s) 2022-11-23T01:41:07.9805779Z test_reformer_sorting_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... inline_call [] 2022-11-23T01:41:07.9805977Z stats [('calls_captured', 28), ('fusions_possible', 27), ('unique_graphs', 1)] 2022-11-23T01:41:07.9806043Z ok (0.084s) 2022-11-23T01:41:07.9806359Z test_reformer_train_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 4), ('ok', 4)] 2022-11-23T01:41:07.9806649Z inline_call [('inline in skipfiles: save_for_backward /opt/conda/lib/python3.7/site-packages/torch/autograd/function.py', 1)] 2022-11-23T01:41:07.9806727Z unimplemented [] 2022-11-23T01:41:07.9807083Z graph_break [('autograd.Function with requires_grad', 1), ('inline in skipfiles: save_for_backward /opt/conda/lib/python3.7/site-packages/torch/autograd/function.py', 1)] 2022-11-23T01:41:07.9807279Z stats [('calls_captured', 10), ('fusions_possible', 6), ('unique_graphs', 4)] 2022-11-23T01:41:07.9807347Z ok (0.399s) 2022-11-23T01:41:07.9807697Z test_reinplacing_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:41:07.9807819Z frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9808015Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:41:07.9808143Z aot_autograd [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9808208Z ok (0.897s) 2022-11-23T01:41:07.9808594Z test_relative_import_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9808661Z ok (0.028s) 2022-11-23T01:41:07.9809073Z test_relative_import_no_modulename_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9809130Z ok (0.025s) 2022-11-23T01:41:07.9809520Z test_rewrite_assert_noop_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)] 2022-11-23T01:41:07.9809585Z ok (0.051s) 2022-11-23T01:41:07.9809975Z test_rewrite_assert_with_fstring_msg_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... unimplemented [('generic_jump TensorVariable()', 1)] 2022-11-23T01:41:07.9810039Z ok (0.011s) 2022-11-23T01:41:07.9810442Z test_rewrite_assert_with_msg_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 18), ('fusions_possible', 15), ('unique_graphs', 3)] 2022-11-23T01:41:07.9810509Z ok (0.054s) 2022-11-23T01:41:07.9810946Z test_rewrite_assert_without_msg_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 12), ('fusions_possible', 10), ('unique_graphs', 2)] 2022-11-23T01:41:07.9811013Z ok (0.036s) 2022-11-23T01:41:07.9811316Z test_rng_state_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9811512Z stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)] 2022-11-23T01:41:07.9811577Z ok (0.013s) 2022-11-23T01:41:07.9811962Z test_seq_append_list_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:41:07.9812027Z ok (0.088s) 2022-11-23T01:41:07.9812722Z test_sigmoid_out_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1535: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3, 5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:41:07.9812813Z torch.sigmoid(inp, out=out1) 2022-11-23T01:41:07.9812930Z frames [('total', 2), ('ok', 2)] 2022-11-23T01:41:07.9813097Z inline_call [('missing: BUILD_MAP_UNPACK_WITH_CALL', 1)] 2022-11-23T01:41:07.9813172Z unimplemented [] 2022-11-23T01:41:07.9813326Z graph_break [('missing: BUILD_MAP_UNPACK_WITH_CALL', 1)] 2022-11-23T01:41:07.9813529Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:41:07.9814322Z /opt/conda/lib/python3.7/site-packages/torch/_prims_common/wrappers.py:145: UserWarning: An output with one or more elements was resized since it had shape torch.Size([]) which does not match the required output shape {str(shape)}. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). 2022-11-23T01:41:07.9814401Z warnings.warn(msg) 2022-11-23T01:41:07.9814908Z :7: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3, 5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:41:07.9814976Z ok (0.057s) 2022-11-23T01:41:07.9815378Z test_slice_into_list_mutable_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 30), ('fusions_possible', 29), ('unique_graphs', 1)] 2022-11-23T01:41:07.9815445Z ok (0.046s) 2022-11-23T01:41:07.9815777Z test_slicing_dynamic_shape_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9815942Z unimplemented [('Dynamic slicing not supported', 1)] 2022-11-23T01:41:07.9816126Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9816190Z ok (0.011s) 2022-11-23T01:41:07.9816530Z test_slicing_dynamic_shape_setitem_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 1)] 2022-11-23T01:41:07.9816696Z unimplemented [('Dynamic slicing not supported', 2)] 2022-11-23T01:41:07.9816852Z graph_break [('Dynamic slicing not supported', 1)] 2022-11-23T01:41:07.9817046Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9817111Z ok (0.051s) 2022-11-23T01:41:07.9817801Z test_sort_out_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... /var/lib/jenkins/workspace/test/dynamo/test_repros.py:1519: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:41:07.9817911Z torch.sort(tensor, out=(values1, indices1)) 2022-11-23T01:41:07.9818058Z frames [('total', 3), ('ok', 3)] 2022-11-23T01:41:07.9818212Z inline_call [('missing: BUILD_MAP_UNPACK_WITH_CALL', 2)] 2022-11-23T01:41:07.9818288Z unimplemented [] 2022-11-23T01:41:07.9818456Z graph_break [('missing: BUILD_MAP_UNPACK_WITH_CALL', 2)] 2022-11-23T01:41:07.9818653Z stats [('calls_captured', 11), ('fusions_possible', 9), ('unique_graphs', 2)] 2022-11-23T01:41:07.9819693Z /opt/conda/lib/python3.7/site-packages/torch/_dynamo/utils.py:1103: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:41:07.9819791Z return node.target(*args, **kwargs) 2022-11-23T01:41:07.9820295Z :9: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:41:07.9820367Z ok (0.060s) 2022-11-23T01:41:07.9820704Z test_specialized_stride_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9820902Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:41:07.9820956Z ok (0.005s) 2022-11-23T01:41:07.9821290Z test_tensor_isinstance_tuple_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9821488Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9821553Z ok (0.005s) 2022-11-23T01:41:07.9821873Z test_tokenization_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 4), ('ok', 4)] 2022-11-23T01:41:07.9822112Z inline_call [('inline in skipfiles: __init__ /opt/conda/lib/python3.7/collections/__init__.py', 2)] 2022-11-23T01:41:07.9822190Z unimplemented [] 2022-11-23T01:41:07.9822427Z graph_break [('inline in skipfiles: __init__ /opt/conda/lib/python3.7/collections/__init__.py', 2)] 2022-11-23T01:41:07.9822479Z ok (0.015s) 2022-11-23T01:41:07.9822868Z test_torch_ops_aten_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9822935Z ok (0.015s) 2022-11-23T01:41:07.9823324Z test_vdd_duplicate_error_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:41:07.9823391Z ok (0.033s) 2022-11-23T01:41:07.9823725Z test_while_loop_graph_break_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:41:07.9823863Z inline_call [] 2022-11-23T01:41:07.9824142Z unimplemented [('call_function in skip_files /opt/conda/lib/python3.7/site-packages/torch/_dynamo/__init__.py', 1)] 2022-11-23T01:41:07.9824344Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9824396Z ok (0.016s) 2022-11-23T01:41:07.9824606Z test_with_on_graph_break_inst_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... Hello world 2022-11-23T01:41:07.9824674Z Hello world 2022-11-23T01:41:07.9824791Z frames [('total', 6), ('ok', 6)] 2022-11-23T01:41:07.9825013Z inline_call [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 1)] 2022-11-23T01:41:07.9825125Z unimplemented [] 2022-11-23T01:41:07.9825384Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 2), ('Tensor.backward', 1)] 2022-11-23T01:41:07.9825568Z stats [('calls_captured', 11), ('fusions_possible', 7), ('unique_graphs', 4)] 2022-11-23T01:41:07.9825634Z ok (0.063s) 2022-11-23T01:41:07.9825946Z test_capi_call1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9826022Z unimplemented [] 2022-11-23T01:41:07.9826302Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:41:07.9826502Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9826567Z ok (0.016s) 2022-11-23T01:41:07.9826873Z test_capi_call2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:41:07.9826938Z unimplemented [] 2022-11-23T01:41:07.9827212Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:41:07.9827409Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:41:07.9827474Z ok (0.040s) 2022-11-23T01:41:07.9827785Z test_capi_call3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9827859Z unimplemented [] 2022-11-23T01:41:07.9828132Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:41:07.9828392Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9828446Z ok (0.016s) 2022-11-23T01:41:07.9828763Z test_control_flow1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:41:07.9828961Z stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:41:07.9829028Z ok (0.027s) 2022-11-23T01:41:07.9829342Z test_control_flow2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:41:07.9829537Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9829603Z ok (0.013s) 2022-11-23T01:41:07.9829915Z test_control_flow3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:41:07.9830097Z stats [('calls_captured', 7), ('fusions_possible', 4), ('unique_graphs', 3)] 2022-11-23T01:41:07.9830162Z ok (0.041s) 2022-11-23T01:41:07.9830468Z test_control_flow4_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 5), ('ok', 5)] 2022-11-23T01:41:07.9830665Z stats [('calls_captured', 5), ('unique_graphs', 3), ('fusions_possible', 2)] 2022-11-23T01:41:07.9830731Z ok (0.025s) 2022-11-23T01:41:07.9831047Z test_control_flow5_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 7), ('ok', 7)] 2022-11-23T01:41:07.9831276Z stats [('calls_captured', 13), ('fusions_possible', 7), ('unique_graphs', 6)] 2022-11-23T01:41:07.9831344Z ok (0.064s) 2022-11-23T01:41:07.9831645Z test_dynamic_kwarg_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9831839Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9831903Z ok (0.009s) 2022-11-23T01:41:07.9832227Z test_dynamic_shapes_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 11), ('ok', 11)] 2022-11-23T01:41:07.9832427Z stats [('calls_captured', 22), ('fusions_possible', 11), ('unique_graphs', 11)] 2022-11-23T01:41:07.9832518Z ok (0.049s) 2022-11-23T01:41:07.9832856Z test_enumerate_not_break_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9833049Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)] 2022-11-23T01:41:07.9833123Z expected failure (0.018s) 2022-11-23T01:41:07.9833436Z test_extended_args_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:41:07.9833641Z stats [('calls_captured', 1026), ('fusions_possible', 1023), ('unique_graphs', 3)] 2022-11-23T01:41:07.9833706Z ok (3.530s) 2022-11-23T01:41:07.9834032Z test_graph_break_on_item_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:41:07.9834108Z unimplemented [] 2022-11-23T01:41:07.9834232Z graph_break [('Tensor.item', 1)] 2022-11-23T01:41:07.9834429Z stats [('calls_captured', 5), ('fusions_possible', 3), ('unique_graphs', 2)] 2022-11-23T01:41:07.9834481Z ok (0.032s) 2022-11-23T01:41:07.9834809Z test_indirect_unsupported1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:41:07.9835088Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:41:07.9835164Z unimplemented [] 2022-11-23T01:41:07.9835439Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)] 2022-11-23T01:41:07.9835634Z stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)] 2022-11-23T01:41:07.9835700Z ok (0.030s) 2022-11-23T01:41:07.9836030Z test_indirect_unsupported2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 4), ('ok', 4)] 2022-11-23T01:41:07.9836304Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:41:07.9836367Z unimplemented [] 2022-11-23T01:41:07.9836636Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)] 2022-11-23T01:41:07.9836834Z stats [('calls_captured', 5), ('unique_graphs', 3), ('fusions_possible', 2)] 2022-11-23T01:41:07.9836900Z ok (0.046s) 2022-11-23T01:41:07.9837229Z test_indirect_unsupported3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:41:07.9837498Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:41:07.9837573Z unimplemented [] 2022-11-23T01:41:07.9837844Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)] 2022-11-23T01:41:07.9838028Z stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)] 2022-11-23T01:41:07.9838093Z ok (0.031s) 2022-11-23T01:41:07.9838406Z test_multigraph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:41:07.9838632Z stats [('calls_captured', 5), ('fusions_possible', 3), ('unique_graphs', 2)] 2022-11-23T01:41:07.9838699Z ok (0.026s) 2022-11-23T01:41:07.9839030Z test_no_graph_break_on_item_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9839221Z stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)] 2022-11-23T01:41:07.9839285Z ok (0.023s) 2022-11-23T01:41:07.9839596Z test_pop_after_resume_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:41:07.9839671Z unimplemented [] 2022-11-23T01:41:07.9839989Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:41:07.9840185Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:41:07.9840249Z ok (0.036s) 2022-11-23T01:41:07.9840566Z test_restore_range_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:41:07.9840641Z unimplemented [] 2022-11-23T01:41:07.9840912Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:41:07.9841094Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:41:07.9841159Z ok (0.027s) 2022-11-23T01:41:07.9841484Z test_restore_range_iter_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:41:07.9841558Z unimplemented [] 2022-11-23T01:41:07.9841833Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:41:07.9842028Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:41:07.9842092Z ok (0.022s) 2022-11-23T01:41:07.9842399Z test_restore_state_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 1)] 2022-11-23T01:41:07.9842474Z unimplemented [] 2022-11-23T01:41:07.9842744Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:41:07.9842940Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9843023Z expected failure (0.028s) 2022-11-23T01:41:07.9843332Z test_resume1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:41:07.9843409Z unimplemented [] 2022-11-23T01:41:07.9843682Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:41:07.9843862Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:41:07.9843926Z ok (0.031s) 2022-11-23T01:41:07.9844231Z test_resume2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:41:07.9844504Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:41:07.9844578Z unimplemented [] 2022-11-23T01:41:07.9844850Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)] 2022-11-23T01:41:07.9845045Z stats [('calls_captured', 7), ('fusions_possible', 4), ('unique_graphs', 3)] 2022-11-23T01:41:07.9845112Z ok (0.046s) 2022-11-23T01:41:07.9845403Z test_resume3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:41:07.9845674Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:41:07.9845748Z unimplemented [] 2022-11-23T01:41:07.9846050Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)] 2022-11-23T01:41:07.9846247Z stats [('calls_captured', 7), ('fusions_possible', 4), ('unique_graphs', 3)] 2022-11-23T01:41:07.9846312Z ok (0.045s) 2022-11-23T01:41:07.9846620Z test_resume4_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:41:07.9846891Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:41:07.9846968Z unimplemented [] 2022-11-23T01:41:07.9847227Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)] 2022-11-23T01:41:07.9847452Z stats [('calls_captured', 7), ('fusions_possible', 4), ('unique_graphs', 3)] 2022-11-23T01:41:07.9847517Z ok (0.046s) 2022-11-23T01:41:07.9847747Z test_resume5_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... tensor([1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 2022-11-23T01:41:07.9847814Z 1.5000]) 2022-11-23T01:41:07.9847923Z tensor([1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 2022-11-23T01:41:07.9847989Z 1.5000]) 2022-11-23T01:41:07.9848081Z tensor([1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 2022-11-23T01:41:07.9848146Z 1.5000]) 2022-11-23T01:41:07.9848251Z tensor([1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 1.5000, 2022-11-23T01:41:07.9848315Z 1.5000]) 2022-11-23T01:41:07.9848435Z frames [('total', 3), ('ok', 3)] 2022-11-23T01:41:07.9848509Z unimplemented [] 2022-11-23T01:41:07.9848722Z graph_break [('call_function BuiltinVariable(print) [TensorVariable()] {}', 1)] 2022-11-23T01:41:07.9848918Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:41:07.9848972Z ok (0.033s) 2022-11-23T01:41:07.9849299Z test_resume_freevars_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:41:07.9849375Z unimplemented [] 2022-11-23T01:41:07.9849654Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:41:07.9849849Z stats [('calls_captured', 5), ('fusions_possible', 3), ('unique_graphs', 2)] 2022-11-23T01:41:07.9849915Z ok (0.042s) 2022-11-23T01:41:07.9850240Z test_resume_paths_join_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 7), ('ok', 7)] 2022-11-23T01:41:07.9850439Z stats [('calls_captured', 10), ('unique_graphs', 7), ('fusions_possible', 3)] 2022-11-23T01:41:07.9850495Z ok (0.078s) 2022-11-23T01:41:07.9850823Z test_resume_tuple_iterator_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:41:07.9850902Z unimplemented [] 2022-11-23T01:41:07.9851181Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:41:07.9851375Z stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)] 2022-11-23T01:41:07.9851440Z ok (0.042s) 2022-11-23T01:41:07.9851765Z test_resume_with_no_grad1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 4), ('ok', 4)] 2022-11-23T01:41:07.9851827Z unimplemented [] 2022-11-23T01:41:07.9851958Z graph_break [('Tensor.tolist', 2)] 2022-11-23T01:41:07.9852156Z stats [('calls_captured', 18), ('fusions_possible', 14), ('unique_graphs', 4)] 2022-11-23T01:41:07.9852225Z ok (0.068s) 2022-11-23T01:41:07.9852553Z test_resume_with_no_grad2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:41:07.9852628Z unimplemented [] 2022-11-23T01:41:07.9852756Z graph_break [('Tensor.tolist', 2)] 2022-11-23T01:41:07.9853024Z stats [('calls_captured', 13), ('fusions_possible', 10), ('unique_graphs', 3)] 2022-11-23T01:41:07.9853076Z ok (0.042s) 2022-11-23T01:41:07.9853401Z test_resume_with_no_grad3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:41:07.9853477Z unimplemented [] 2022-11-23T01:41:07.9853604Z graph_break [('Tensor.tolist', 1)] 2022-11-23T01:41:07.9853802Z stats [('calls_captured', 19), ('fusions_possible', 17), ('unique_graphs', 2)] 2022-11-23T01:41:07.9853869Z ok (0.032s) 2022-11-23T01:41:07.9854188Z test_stack_state1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:41:07.9854280Z unimplemented [] 2022-11-23T01:41:07.9854556Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:41:07.9854752Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:41:07.9854824Z ok (0.046s) 2022-11-23T01:41:07.9855137Z test_stack_state2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 4), ('ok', 4)] 2022-11-23T01:41:07.9855415Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:41:07.9855492Z unimplemented [] 2022-11-23T01:41:07.9855764Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)] 2022-11-23T01:41:07.9855957Z stats [('calls_captured', 7), ('fusions_possible', 4), ('unique_graphs', 3)] 2022-11-23T01:41:07.9856013Z ok (0.060s) 2022-11-23T01:41:07.9856221Z test_start1_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... tensor([1., 1., 1., 1., 1., 1., 1., 1., 1., 1.]) 2022-11-23T01:41:07.9856380Z tensor([-2., -2., -2., -2., -2., -2., -2., -2., -2., -2.]) 2022-11-23T01:41:07.9856470Z tensor([1., 1., 1., 1., 1., 1., 1., 1., 1., 1.]) 2022-11-23T01:41:07.9856623Z tensor([-2., -2., -2., -2., -2., -2., -2., -2., -2., -2.]) 2022-11-23T01:41:07.9856740Z frames [('total', 3), ('ok', 3)] 2022-11-23T01:41:07.9856815Z unimplemented [] 2022-11-23T01:41:07.9857012Z graph_break [('call_function BuiltinVariable(print) [TensorVariable()] {}', 1)] 2022-11-23T01:41:07.9857207Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9857272Z ok (0.027s) 2022-11-23T01:41:07.9857577Z test_start2_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:41:07.9857854Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:41:07.9857929Z unimplemented [] 2022-11-23T01:41:07.9858205Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)] 2022-11-23T01:41:07.9858402Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:41:07.9858456Z ok (0.036s) 2022-11-23T01:41:07.9858904Z test_start3_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:41:07.9859024Z unimplemented [] 2022-11-23T01:41:07.9859310Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:41:07.9859505Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9859571Z ok (0.022s) 2022-11-23T01:41:07.9859879Z test_start4_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:41:07.9860080Z stats [('calls_captured', 4), ('unique_graphs', 3), ('fusions_possible', 1)] 2022-11-23T01:41:07.9860132Z ok (0.038s) 2022-11-23T01:41:07.9860419Z test_tuple_iterator_mutate_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: not working yet (0.001s) 2022-11-23T01:41:07.9860748Z test_tuple_iterator_return_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:41:07.9860824Z unimplemented [] 2022-11-23T01:41:07.9861098Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)] 2022-11-23T01:41:07.9861292Z stats [('calls_captured', 6), ('fusions_possible', 3), ('unique_graphs', 3)] 2022-11-23T01:41:07.9861358Z ok (0.045s) 2022-11-23T01:41:07.9861589Z test_builtin_functions_on_cuda_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... skip: requires cuda (0.001s) 2022-11-23T01:41:07.9861918Z test_builtin_getitem_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1)] 2022-11-23T01:41:07.9862001Z expected failure (0.013s) 2022-11-23T01:41:07.9862321Z test_builtin_max_min_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9862519Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:41:07.9862585Z ok (0.021s) 2022-11-23T01:41:07.9862933Z test_feed_random_values_into_graph_only_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9863129Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:41:07.9863198Z ok (0.011s) 2022-11-23T01:41:07.9863576Z test_multiple_consecutive_random_calls_before_graph_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9863756Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9863820Z ok (0.010s) 2022-11-23T01:41:07.9864146Z test_no_recompilations_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9864338Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:41:07.9864404Z ok (0.016s) 2022-11-23T01:41:07.9864724Z test_numpy_correctness_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 5), ('ok', 5)] 2022-11-23T01:41:07.9864910Z unimplemented [('reconstruct: ConstantVariable(float64)', 1)] 2022-11-23T01:41:07.9865058Z graph_break [('Tensor.numpy', 2), ('numpy', 2)] 2022-11-23T01:41:07.9865243Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9865309Z ok (0.086s) 2022-11-23T01:41:07.9865643Z test_random_call_with_while_loop_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:41:07.9865838Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:41:07.9865903Z ok (0.014s) 2022-11-23T01:41:07.9866246Z test_random_values_with_graph_break_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:41:07.9866321Z unimplemented [] 2022-11-23T01:41:07.9866443Z graph_break [('Tensor.item', 2)] 2022-11-23T01:41:07.9866625Z stats [('calls_captured', 4), ('unique_graphs', 3), ('fusions_possible', 1)] 2022-11-23T01:41:07.9866693Z ok (0.047s) 2022-11-23T01:41:07.9867008Z test_unspec_float_precision_dynamic_shapes (torch._dynamo.testing.make_test_cls_with_patches..DummyTestClass) ... frames [('total', 1)] 2022-11-23T01:41:07.9867092Z expected failure (0.047s) 2022-11-23T01:41:07.9867104Z 2022-11-23T01:41:07.9867303Z ---------------------------------------------------------------------- 2022-11-23T01:41:07.9867380Z Ran 475 tests in 22.955s 2022-11-23T01:41:07.9867386Z 2022-11-23T01:41:07.9867511Z OK (skipped=18, expected failures=15) 2022-11-23T01:41:07.9867517Z 2022-11-23T01:41:07.9867600Z Generating XML reports... 2022-11-23T01:41:07.9867983Z Generated XML report: test-reports/python-unittest/dynamo.test_dynamic_shapes/TEST-torch._dynamo.testing.DynamicShapesExportTests-20221123014044.xml 2022-11-23T01:41:07.9868429Z Generated XML report: test-reports/python-unittest/dynamo.test_dynamic_shapes/TEST-torch._dynamo.testing.DynamicShapesFunctionTests-20221123014044.xml 2022-11-23T01:41:07.9868803Z Generated XML report: test-reports/python-unittest/dynamo.test_dynamic_shapes/TEST-torch._dynamo.testing.DynamicShapesMiscTests-20221123014044.xml 2022-11-23T01:41:07.9869236Z Generated XML report: test-reports/python-unittest/dynamo.test_dynamic_shapes/TEST-torch._dynamo.testing.DynamicShapesNNModuleTests-20221123014044.xml 2022-11-23T01:41:07.9869619Z Generated XML report: test-reports/python-unittest/dynamo.test_dynamic_shapes/TEST-torch._dynamo.testing.DynamicShapesReproTests-20221123014044.xml 2022-11-23T01:41:07.9870010Z Generated XML report: test-reports/python-unittest/dynamo.test_dynamic_shapes/TEST-torch._dynamo.testing.DynamicShapesSubGraphTests-20221123014044.xml 2022-11-23T01:41:07.9870386Z Generated XML report: test-reports/python-unittest/dynamo.test_dynamic_shapes/TEST-torch._dynamo.testing.DynamicShapesUnspecTests-20221123014044.xml 2022-11-23T01:41:07.9870392Z 2022-11-23T01:41:07.9870745Z ##[endgroup] 2022-11-23T01:41:07.9871072Z FINISHED PRINTING LOG FILE of dynamo/test_dynamic_shapes (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_dynamic_shapes_cugs__fz) 2022-11-23T01:41:07.9871079Z 2022-11-23T01:41:09.9016821Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:41:10.0426668Z Ignoring disabled issues: [] 2022-11-23T01:41:10.0597482Z Running test_sparse ... [2022-11-23 01:41:10.059490] 2022-11-23T01:41:10.0599880Z Executing ['/opt/conda/bin/python', '-bb', 'test_sparse.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:41:10.059760] 2022-11-23T01:41:20.8190244Z 2022-11-23T01:41:20.8191203Z Expand the folded group to see the log file of test_testing 2022-11-23T01:41:20.8192441Z ##[group]PRINTING LOG FILE of test_testing (/var/lib/jenkins/workspace/test/test-reports/test_testing__oilwm3j) 2022-11-23T01:41:20.8193328Z Test results will be stored in test-reports/python-unittest/test_testing 2022-11-23T01:41:20.8193606Z 2022-11-23T01:41:20.8193734Z Running tests... 2022-11-23T01:41:20.8194238Z ---------------------------------------------------------------------- 2022-11-23T01:41:20.8194700Z test_bool (__main__.TestAssertClose) ... ok (0.002s) 2022-11-23T01:41:20.8195214Z test_default_tolerance_selection_mismatching_dtypes (__main__.TestAssertClose) ... ok (0.002s) 2022-11-23T01:41:20.8195720Z test_docstring_examples (__main__.TestAssertClose) ... ok (0.030s) 2022-11-23T01:41:20.8196147Z test_matching (__main__.TestAssertClose) ... ok (0.001s) 2022-11-23T01:41:20.8196580Z test_matching_atol (__main__.TestAssertClose) ... ok (0.002s) 2022-11-23T01:41:20.8197064Z test_matching_conjugate_bit (__main__.TestAssertClose) ... ok (0.002s) 2022-11-23T01:41:20.8197483Z test_matching_nan (__main__.TestAssertClose) ... ok (0.003s) 2022-11-23T01:41:20.8197926Z test_matching_nan_with_equal_nan (__main__.TestAssertClose) ... ok (0.002s) 2022-11-23T01:41:20.8198379Z test_matching_rtol (__main__.TestAssertClose) ... ok (0.002s) 2022-11-23T01:41:20.8198772Z test_meta (__main__.TestAssertClose) ... ok (0.001s) 2022-11-23T01:41:20.8199189Z test_mismatching_dtype (__main__.TestAssertClose) ... ok (0.001s) 2022-11-23T01:41:20.8199639Z test_mismatching_dtype_no_check (__main__.TestAssertClose) ... ok (0.002s) 2022-11-23T01:41:20.8200737Z test_mismatching_layout (__main__.TestAssertClose) ... test_testing.py:619: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:56.) 2022-11-23T01:41:20.8201320Z sparse_csr = strided.to_sparse_csr() 2022-11-23T01:41:20.8201547Z ok (0.003s) 2022-11-23T01:41:20.8201790Z test_mismatching_layout_no_check (__main__.TestAssertClose) ... ok (0.005s) 2022-11-23T01:41:20.8202091Z test_mismatching_shape (__main__.TestAssertClose) ... ok (0.001s) 2022-11-23T01:41:20.8202367Z test_mismatching_stride (__main__.TestAssertClose) ... ok (0.001s) 2022-11-23T01:41:20.8202676Z test_mismatching_stride_no_check (__main__.TestAssertClose) ... ok (0.002s) 2022-11-23T01:41:20.8203121Z test_mismatching_types (__main__.TestAssertClose) ... ok (0.002s) 2022-11-23T01:41:20.8203671Z test_mismatching_types_subclasses (__main__.TestAssertClose) ... ok (0.002s) 2022-11-23T01:41:20.8204177Z test_mismatching_types_type_equality (__main__.TestAssertClose) ... ok (0.001s) 2022-11-23T01:41:20.8204669Z test_mismatching_values (__main__.TestAssertClose) ... ok (0.002s) 2022-11-23T01:41:20.8205117Z test_mismatching_values_atol (__main__.TestAssertClose) ... ok (0.002s) 2022-11-23T01:41:20.8205626Z test_mismatching_values_rtol (__main__.TestAssertClose) ... ok (0.002s) 2022-11-23T01:41:20.8206070Z test_none (__main__.TestAssertClose) ... ok (0.001s) 2022-11-23T01:41:20.8206495Z test_none_mismatch (__main__.TestAssertClose) ... ok (0.002s) 2022-11-23T01:41:20.8206951Z test_numpy (__main__.TestAssertClose) ... ok (0.002s) 2022-11-23T01:41:20.8207413Z test_only_atol (__main__.TestAssertClose) ... ok (0.001s) 2022-11-23T01:41:20.8207866Z test_only_rtol (__main__.TestAssertClose) ... ok (0.001s) 2022-11-23T01:41:20.8208127Z test_scalar (__main__.TestAssertClose) ... ok (0.003s) 2022-11-23T01:41:20.8208474Z test_unexpected_error_compare (__main__.TestAssertClose) ... ok (0.002s) 2022-11-23T01:41:20.8208992Z test_unexpected_error_originate (__main__.TestAssertClose) ... ok (0.001s) 2022-11-23T01:41:20.8209478Z test_unknown_layout (__main__.TestAssertClose) ... ok (0.001s) 2022-11-23T01:41:20.8225026Z test_unknown_type (__main__.TestAssertClose) ... ok (0.001s) 2022-11-23T01:41:20.8225639Z test_mapping_mismatching_keys (__main__.TestAssertCloseContainer) ... ok (0.001s) 2022-11-23T01:41:20.8226166Z test_mapping_mismatching_values_msg (__main__.TestAssertCloseContainer) ... ok (0.001s) 2022-11-23T01:41:20.8226667Z test_sequence_mismatching_len (__main__.TestAssertCloseContainer) ... ok (0.001s) 2022-11-23T01:41:20.8227190Z test_sequence_mismatching_values_msg (__main__.TestAssertCloseContainer) ... ok (0.001s) 2022-11-23T01:41:20.8227669Z test_abs_diff (__main__.TestAssertCloseErrorMessage) ... ok (0.003s) 2022-11-23T01:41:20.8228156Z test_abs_diff_scalar (__main__.TestAssertCloseErrorMessage) ... ok (0.001s) 2022-11-23T01:41:20.8228705Z test_atol (__main__.TestAssertCloseErrorMessage) ... ok (0.003s) 2022-11-23T01:41:20.8229196Z test_identifier_scalars (__main__.TestAssertCloseErrorMessage) ... ok (0.001s) 2022-11-23T01:41:20.8229726Z test_identifier_tensor_likes (__main__.TestAssertCloseErrorMessage) ... ok (0.003s) 2022-11-23T01:41:20.8230217Z test_mismatched_elements (__main__.TestAssertCloseErrorMessage) ... ok (0.003s) 2022-11-23T01:41:20.8230710Z test_msg_callable (__main__.TestAssertCloseErrorMessage) ... ok (0.002s) 2022-11-23T01:41:20.8231167Z test_msg_str (__main__.TestAssertCloseErrorMessage) ... ok (0.002s) 2022-11-23T01:41:20.8231600Z test_not_close (__main__.TestAssertCloseErrorMessage) ... ok (0.008s) 2022-11-23T01:41:20.8232054Z test_not_equal (__main__.TestAssertCloseErrorMessage) ... ok (0.003s) 2022-11-23T01:41:20.8232513Z test_rel_diff (__main__.TestAssertCloseErrorMessage) ... ok (0.003s) 2022-11-23T01:41:20.8232984Z test_rel_diff_scalar (__main__.TestAssertCloseErrorMessage) ... ok (0.001s) 2022-11-23T01:41:20.8233445Z test_rtol (__main__.TestAssertCloseErrorMessage) ... ok (0.003s) 2022-11-23T01:41:20.8233911Z test_zero_div_zero (__main__.TestAssertCloseErrorMessage) ... ok (0.003s) 2022-11-23T01:41:20.8234615Z test_matching_per_channel (__main__.TestAssertCloseQuantized) ... ok (0.002s) 2022-11-23T01:41:20.8235084Z test_matching_per_tensor (__main__.TestAssertCloseQuantized) ... ok (0.003s) 2022-11-23T01:41:20.8235595Z test_mismatching_is_quantized (__main__.TestAssertCloseQuantized) ... ok (0.001s) 2022-11-23T01:41:20.8236129Z test_mismatching_qscheme (__main__.TestAssertCloseQuantized) ... ok (0.002s) 2022-11-23T01:41:20.8236594Z test_matching (__main__.TestAssertCloseSparseBSC) ... ok (0.002s) 2022-11-23T01:41:20.8237063Z test_mismatching_ccol_indices_msg (__main__.TestAssertCloseSparseBSC) ... ok (0.003s) 2022-11-23T01:41:20.8237564Z test_mismatching_row_indices_msg (__main__.TestAssertCloseSparseBSC) ... ok (0.003s) 2022-11-23T01:41:20.8239192Z test_mismatching_values_msg (__main__.TestAssertCloseSparseBSC) ... ok (0.004s) 2022-11-23T01:41:20.8239666Z test_matching (__main__.TestAssertCloseSparseBSR) ... ok (0.002s) 2022-11-23T01:41:20.8240132Z test_mismatching_col_indices_msg (__main__.TestAssertCloseSparseBSR) ... ok (0.003s) 2022-11-23T01:41:20.8240660Z test_mismatching_crow_indices_msg (__main__.TestAssertCloseSparseBSR) ... ok (0.003s) 2022-11-23T01:41:20.8241184Z test_mismatching_values_msg (__main__.TestAssertCloseSparseBSR) ... ok (0.004s) 2022-11-23T01:41:20.8241675Z test_matching_coalesced (__main__.TestAssertCloseSparseCOO) ... ok (0.002s) 2022-11-23T01:41:20.8242180Z test_matching_uncoalesced (__main__.TestAssertCloseSparseCOO) ... ok (0.002s) 2022-11-23T01:41:20.8242673Z test_mismatching_indices_msg (__main__.TestAssertCloseSparseCOO) ... ok (0.004s) 2022-11-23T01:41:20.8243140Z test_mismatching_nnz (__main__.TestAssertCloseSparseCOO) ... ok (0.002s) 2022-11-23T01:41:20.8243622Z test_mismatching_sparse_dims (__main__.TestAssertCloseSparseCOO) ... ok (0.002s) 2022-11-23T01:41:20.8244125Z test_mismatching_values_msg (__main__.TestAssertCloseSparseCOO) ... ok (0.003s) 2022-11-23T01:41:20.8244573Z test_matching (__main__.TestAssertCloseSparseCSC) ... ok (0.002s) 2022-11-23T01:41:20.8245052Z test_mismatching_ccol_indices_msg (__main__.TestAssertCloseSparseCSC) ... ok (0.003s) 2022-11-23T01:41:20.8245577Z test_mismatching_row_indices_msg (__main__.TestAssertCloseSparseCSC) ... ok (0.003s) 2022-11-23T01:41:20.8246102Z test_mismatching_values_msg (__main__.TestAssertCloseSparseCSC) ... ok (0.004s) 2022-11-23T01:41:20.8246616Z test_hybrid_support (__main__.TestAssertCloseSparseCSR) ... expected failure (0.007s) 2022-11-23T01:41:20.8247098Z test_matching (__main__.TestAssertCloseSparseCSR) ... ok (0.002s) 2022-11-23T01:41:20.8247597Z test_mismatching_col_indices_msg (__main__.TestAssertCloseSparseCSR) ... ok (0.003s) 2022-11-23T01:41:20.8248135Z test_mismatching_crow_indices_msg (__main__.TestAssertCloseSparseCSR) ... ok (0.003s) 2022-11-23T01:41:20.8248625Z test_mismatching_values_msg (__main__.TestAssertCloseSparseCSR) ... ok (0.004s) 2022-11-23T01:41:20.8249101Z test_filtering_env_var (__main__.TestFrameworkUtils) ... ok (7.163s) 2022-11-23T01:41:20.8249521Z test_circular_dependencies (__main__.TestImports) 2022-11-23T01:41:20.8250228Z Checks that all modules inside torch can be imported ... No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:41:20.8251048Z 2022-11-23 01:41:13,390 - torch.distributed.nn.jit.instantiator - INFO - Created a temporary directory at /tmp/tmphq5yb265 2022-11-23T01:41:20.8251844Z 2022-11-23 01:41:13,390 - torch.distributed.nn.jit.instantiator - INFO - Writing /tmp/tmphq5yb265/_remote_module_non_scriptable.py 2022-11-23T01:41:20.8252300Z ok (7.933s) 2022-11-23T01:41:20.8252667Z test_no_mutate_global_logging_on_import_path_functorch (__main__.TestImports) ... ok (1.349s) 2022-11-23T01:41:20.8253176Z test_no_mutate_global_logging_on_import_path_torch (__main__.TestImports) ... ok (1.289s) 2022-11-23T01:41:20.8253733Z test_no_warning_on_import (__main__.TestImports) ... test_testing.py:1837: DeprecationWarning: Please use assertEqual instead. 2022-11-23T01:41:20.8254199Z self.assertEquals(out, "") 2022-11-23T01:41:20.8254470Z ok (1.364s) 2022-11-23T01:41:20.8254996Z test_opinfo_error_generators_T_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.002s) 2022-11-23T01:41:20.8255587Z test_opinfo_error_generators___radd___cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8256140Z test_opinfo_error_generators___rand___cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8256717Z test_opinfo_error_generators___rdiv___cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8257277Z test_opinfo_error_generators___rmod___cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8257933Z test_opinfo_error_generators___rmul___cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8258474Z test_opinfo_error_generators___ror___cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8259231Z test_opinfo_error_generators___rpow___cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8259785Z test_opinfo_error_generators___rsub___cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8260327Z test_opinfo_error_generators___rxor___cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8260920Z test_opinfo_error_generators_add_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8261473Z test_opinfo_error_generators_amax_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8262016Z test_opinfo_error_generators_amin_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8262577Z test_opinfo_error_generators_aminmax_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8263139Z test_opinfo_error_generators_arange_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8263738Z test_opinfo_error_generators_as_strided_scatter_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8264325Z test_opinfo_error_generators_atan2_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8264886Z test_opinfo_error_generators_bernoulli_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8265473Z test_opinfo_error_generators_bitwise_and_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8266083Z test_opinfo_error_generators_bitwise_left_shift_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8266692Z test_opinfo_error_generators_bitwise_or_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8267331Z test_opinfo_error_generators_bitwise_right_shift_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8267914Z test_opinfo_error_generators_bitwise_xor_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8268574Z test_opinfo_error_generators_cat_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8269130Z test_opinfo_error_generators_clamp_max_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8269697Z test_opinfo_error_generators_clamp_min_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8270377Z test_opinfo_error_generators_complex_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8271054Z test_opinfo_error_generators_copysign_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8271706Z test_opinfo_error_generators_cov_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8272376Z test_opinfo_error_generators_diag_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8273060Z test_opinfo_error_generators_diag_embed_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8273901Z test_opinfo_error_generators_diagonal_copy_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8274614Z test_opinfo_error_generators_diagonal_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8275320Z test_opinfo_error_generators_div_floor_rounding_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8276039Z test_opinfo_error_generators_div_no_rounding_mode_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8276745Z test_opinfo_error_generators_div_trunc_rounding_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8277440Z test_opinfo_error_generators_dsplit_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8278237Z test_opinfo_error_generators_dstack_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8278902Z test_opinfo_error_generators_eq_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8279551Z test_opinfo_error_generators_eye_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8280221Z test_opinfo_error_generators_fliplr_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8280896Z test_opinfo_error_generators_flipud_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8281586Z test_opinfo_error_generators_float_power_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8282265Z test_opinfo_error_generators_floor_divide_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8282946Z test_opinfo_error_generators_fmax_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8283606Z test_opinfo_error_generators_fmin_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8284256Z test_opinfo_error_generators_fmod_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8284930Z test_opinfo_error_generators_gather_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8285595Z test_opinfo_error_generators_gcd_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8286250Z test_opinfo_error_generators_ge_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8286905Z test_opinfo_error_generators_gradient_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8287589Z test_opinfo_error_generators_gt_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8288267Z test_opinfo_error_generators_heaviside_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8288949Z test_opinfo_error_generators_hsplit_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8289631Z test_opinfo_error_generators_hstack_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8290316Z test_opinfo_error_generators_hypot_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8290992Z test_opinfo_error_generators_igamma_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8291656Z test_opinfo_error_generators_igammac_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8292353Z test_opinfo_error_generators_index_select_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8293050Z test_opinfo_error_generators_isclose_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8293789Z test_opinfo_error_generators_jiterator_binary_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:41:20.8294588Z test_opinfo_error_generators_jiterator_binary_return_by_ref_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:41:20.8295336Z test_opinfo_error_generators_kthvalue_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8296090Z test_opinfo_error_generators_lcm_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8296785Z test_opinfo_error_generators_ldexp_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8297438Z test_opinfo_error_generators_le_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8298116Z test_opinfo_error_generators_linalg_cross_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8298970Z test_opinfo_error_generators_linalg_lstsq_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8299793Z test_opinfo_error_generators_linalg_lstsq_grad_oriented_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8300519Z test_opinfo_error_generators_linspace_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8301220Z test_opinfo_error_generators_logcumsumexp_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8301922Z test_opinfo_error_generators_logical_and_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8302593Z test_opinfo_error_generators_logical_or_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8303283Z test_opinfo_error_generators_logical_xor_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8303971Z test_opinfo_error_generators_logspace_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8304637Z test_opinfo_error_generators_lt_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8305300Z test_opinfo_error_generators_masked_fill_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8306000Z test_opinfo_error_generators_masked_select_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8306703Z test_opinfo_error_generators_max_binary_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8307377Z test_opinfo_error_generators_maximum_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8308050Z test_opinfo_error_generators_mean_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8308826Z test_opinfo_error_generators_min_binary_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8309512Z test_opinfo_error_generators_minimum_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8310172Z test_opinfo_error_generators_movedim_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8310846Z test_opinfo_error_generators_mul_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8311532Z test_opinfo_error_generators_multinomial_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8312235Z test_opinfo_error_generators_narrow_copy_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8312906Z test_opinfo_error_generators_narrow_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8313617Z test_opinfo_error_generators_native_layer_norm_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8314312Z test_opinfo_error_generators_ne_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8314954Z test_opinfo_error_generators_neg_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8315635Z test_opinfo_error_generators_nextafter_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8316374Z test_opinfo_error_generators_nn_functional_avg_pool1d_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8317117Z test_opinfo_error_generators_nn_functional_avg_pool2d_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8317947Z test_opinfo_error_generators_nn_functional_avg_pool3d_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8318698Z test_opinfo_error_generators_nn_functional_conv1d_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8319432Z test_opinfo_error_generators_nn_functional_conv2d_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8320166Z test_opinfo_error_generators_nn_functional_embedding_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8320904Z test_opinfo_error_generators_nn_functional_gaussian_nll_loss_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8321719Z test_opinfo_error_generators_nn_functional_gelu_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8322448Z test_opinfo_error_generators_nn_functional_group_norm_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8323208Z test_opinfo_error_generators_nn_functional_hinge_embedding_loss_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8323943Z test_opinfo_error_generators_nn_functional_huber_loss_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8324680Z test_opinfo_error_generators_nn_functional_l1_loss_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8325430Z test_opinfo_error_generators_nn_functional_margin_ranking_loss_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8326177Z test_opinfo_error_generators_nn_functional_max_pool1d_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8326917Z test_opinfo_error_generators_nn_functional_max_pool2d_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8327665Z test_opinfo_error_generators_nn_functional_max_pool3d_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8328426Z test_opinfo_error_generators_nn_functional_poisson_nll_loss_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8329182Z test_opinfo_error_generators_nn_functional_prelu_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8329898Z test_opinfo_error_generators_nn_functional_rrelu_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8330643Z test_opinfo_error_generators_nn_functional_soft_margin_loss_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8331405Z test_opinfo_error_generators_nn_functional_softshrink_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8332160Z test_opinfo_error_generators_nn_functional_triplet_margin_loss_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8332971Z test_opinfo_error_generators_nn_functional_triplet_margin_with_distance_loss_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8333730Z test_opinfo_error_generators_ormqr_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8334412Z test_opinfo_error_generators_polar_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8335065Z test_opinfo_error_generators_pow_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8335724Z test_opinfo_error_generators_remainder_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8336407Z test_opinfo_error_generators_renorm_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8337061Z test_opinfo_error_generators_reshape_as_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8337623Z test_opinfo_error_generators_reshape_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8338158Z test_opinfo_error_generators_roll_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8338930Z test_opinfo_error_generators_rot90_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8339510Z test_opinfo_error_generators_rsub_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8340083Z test_opinfo_error_generators_scatter_add_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8340616Z test_opinfo_error_generators_scatter_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8341206Z test_opinfo_error_generators_signal_windows_cosine_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8341813Z test_opinfo_error_generators_signal_windows_exponential_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8342580Z test_opinfo_error_generators_signal_windows_gaussian_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8343223Z test_opinfo_error_generators_signal_windows_kaiser_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8343883Z test_opinfo_error_generators_special_chebyshev_polynomial_t_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8344531Z test_opinfo_error_generators_special_chebyshev_polynomial_u_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8345558Z test_opinfo_error_generators_special_chebyshev_polynomial_v_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:41:20.8346587Z test_opinfo_error_generators_special_chebyshev_polynomial_w_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:41:20.8347486Z test_opinfo_error_generators_special_hermite_polynomial_h_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8348332Z test_opinfo_error_generators_special_hermite_polynomial_he_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8349112Z test_opinfo_error_generators_special_laguerre_polynomial_l_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8350302Z test_opinfo_error_generators_special_legendre_polynomial_p_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:41:20.8351575Z test_opinfo_error_generators_special_shifted_chebyshev_polynomial_t_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:41:20.8352844Z test_opinfo_error_generators_special_shifted_chebyshev_polynomial_u_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:41:20.8354108Z test_opinfo_error_generators_special_shifted_chebyshev_polynomial_v_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:41:20.8355384Z test_opinfo_error_generators_special_shifted_chebyshev_polynomial_w_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:41:20.8356234Z test_opinfo_error_generators_special_xlog1py_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8356938Z test_opinfo_error_generators_special_zeta_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8357600Z test_opinfo_error_generators_sub_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8358277Z test_opinfo_error_generators_sum_to_size_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8358945Z test_opinfo_error_generators_t_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8359599Z test_opinfo_error_generators_take_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8360392Z test_opinfo_error_generators_trace_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8361070Z test_opinfo_error_generators_tril_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8361727Z test_opinfo_error_generators_triu_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8362390Z test_opinfo_error_generators_true_divide_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8363071Z test_opinfo_error_generators_unbind_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8363854Z test_opinfo_error_generators_uniform_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8364534Z test_opinfo_error_generators_view_as_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8365196Z test_opinfo_error_generators_view_copy_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8365878Z test_opinfo_error_generators_view_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8366550Z test_opinfo_error_generators_vsplit_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8367222Z test_opinfo_error_generators_vstack_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8367876Z test_opinfo_error_generators_where_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8368545Z test_opinfo_error_generators_xlogy_cpu (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8369251Z test_opinfo_reference_generators___radd___cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8369958Z test_opinfo_reference_generators___rand___cpu_int64 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8370684Z test_opinfo_reference_generators___rdiv___cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8371410Z test_opinfo_reference_generators___rmod___cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8372125Z test_opinfo_reference_generators___rmul___cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8372824Z test_opinfo_reference_generators___ror___cpu_int64 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8373538Z test_opinfo_reference_generators___rpow___cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8374256Z test_opinfo_reference_generators___rsub___cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8374975Z test_opinfo_reference_generators___rxor___cpu_int64 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8375675Z test_opinfo_reference_generators_abs_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8376396Z test_opinfo_reference_generators_acos_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8377113Z test_opinfo_reference_generators_acosh_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8377822Z test_opinfo_reference_generators_add_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8378520Z test_opinfo_reference_generators_addcdiv_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8379419Z test_opinfo_reference_generators_addcmul_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8380148Z test_opinfo_reference_generators_angle_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8380857Z test_opinfo_reference_generators_asin_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8381654Z test_opinfo_reference_generators_asinh_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8382381Z test_opinfo_reference_generators_atan2_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8383091Z test_opinfo_reference_generators_atan_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8383791Z test_opinfo_reference_generators_atanh_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8384515Z test_opinfo_reference_generators_bfloat16_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8385246Z test_opinfo_reference_generators_bitwise_and_cpu_int64 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8386107Z test_opinfo_reference_generators_bitwise_left_shift_cpu_int64 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8386845Z test_opinfo_reference_generators_bitwise_not_cpu_int64 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8387567Z test_opinfo_reference_generators_bitwise_or_cpu_int64 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8388395Z test_opinfo_reference_generators_bitwise_right_shift_cpu_int64 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8389156Z test_opinfo_reference_generators_bitwise_xor_cpu_int64 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8389865Z test_opinfo_reference_generators_bool_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8390612Z test_opinfo_reference_generators_broadcast_tensors_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8391372Z test_opinfo_reference_generators_bucketize_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8392097Z test_opinfo_reference_generators_byte_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8392797Z test_opinfo_reference_generators_cat_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8393521Z test_opinfo_reference_generators_cdouble_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8394241Z test_opinfo_reference_generators_ceil_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8394940Z test_opinfo_reference_generators_cfloat_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8395659Z test_opinfo_reference_generators_chalf_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8396389Z test_opinfo_reference_generators_char_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8397109Z test_opinfo_reference_generators_chunk_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8397820Z test_opinfo_reference_generators_clamp_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8398548Z test_opinfo_reference_generators_clamp_max_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8399279Z test_opinfo_reference_generators_clamp_min_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8400006Z test_opinfo_reference_generators_clone_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8400712Z test_opinfo_reference_generators_complex_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8401440Z test_opinfo_reference_generators_conj_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8402173Z test_opinfo_reference_generators_conj_physical_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8402991Z test_opinfo_reference_generators_contiguous_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8403730Z test_opinfo_reference_generators_copysign_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8404453Z test_opinfo_reference_generators_cos_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8405166Z test_opinfo_reference_generators_cosh_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8405898Z test_opinfo_reference_generators_deg2rad_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8406622Z test_opinfo_reference_generators_diag_embed_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8407426Z test_opinfo_reference_generators_diagonal_copy_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8408173Z test_opinfo_reference_generators_diagonal_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8408898Z test_opinfo_reference_generators_digamma_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8409655Z test_opinfo_reference_generators_div_floor_rounding_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8410437Z test_opinfo_reference_generators_div_no_rounding_mode_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8411213Z test_opinfo_reference_generators_div_trunc_rounding_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8411931Z test_opinfo_reference_generators_double_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8412629Z test_opinfo_reference_generators_empty_like_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8413344Z test_opinfo_reference_generators_eq_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8413988Z test_opinfo_reference_generators_erf_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8414561Z test_opinfo_reference_generators_erfc_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8415144Z test_opinfo_reference_generators_erfinv_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8415734Z test_opinfo_reference_generators_exp2_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8416321Z test_opinfo_reference_generators_exp_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8416926Z test_opinfo_reference_generators_expm1_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8417516Z test_opinfo_reference_generators_fill_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8418118Z test_opinfo_reference_generators_flatten_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8418861Z test_opinfo_reference_generators_float_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8419470Z test_opinfo_reference_generators_float_power_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8420100Z test_opinfo_reference_generators_floor_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8420734Z test_opinfo_reference_generators_floor_divide_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8421342Z test_opinfo_reference_generators_fmax_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8421929Z test_opinfo_reference_generators_fmin_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8422528Z test_opinfo_reference_generators_fmod_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8423265Z test_opinfo_reference_generators_frac_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8423936Z test_opinfo_reference_generators_frexp_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8424645Z test_opinfo_reference_generators_gcd_cpu_int64 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8425342Z test_opinfo_reference_generators_ge_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8426046Z test_opinfo_reference_generators_gt_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8426851Z test_opinfo_reference_generators_half_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8427571Z test_opinfo_reference_generators_heaviside_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8428409Z test_opinfo_reference_generators_hypot_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8429122Z test_opinfo_reference_generators_i0_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8429819Z test_opinfo_reference_generators_igamma_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8430544Z test_opinfo_reference_generators_igammac_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8431275Z test_opinfo_reference_generators_imag_cpu_complex64 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8431998Z test_opinfo_reference_generators_index_add_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8432729Z test_opinfo_reference_generators_index_copy_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8433459Z test_opinfo_reference_generators_index_fill_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8434191Z test_opinfo_reference_generators_index_select_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8434896Z test_opinfo_reference_generators_int_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8435612Z test_opinfo_reference_generators_isclose_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8436341Z test_opinfo_reference_generators_isfinite_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8437065Z test_opinfo_reference_generators_isinf_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8437776Z test_opinfo_reference_generators_isnan_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8438501Z test_opinfo_reference_generators_isneginf_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8439234Z test_opinfo_reference_generators_isposinf_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8439958Z test_opinfo_reference_generators_isreal_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8440722Z test_opinfo_reference_generators_jiterator_binary_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:41:20.8441577Z test_opinfo_reference_generators_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:41:20.8442433Z test_opinfo_reference_generators_jiterator_unary_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:41:20.8443202Z test_opinfo_reference_generators_lcm_cpu_int64 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8443987Z test_opinfo_reference_generators_ldexp_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8444724Z test_opinfo_reference_generators_le_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8445442Z test_opinfo_reference_generators_lgamma_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8446177Z test_opinfo_reference_generators_log10_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8446884Z test_opinfo_reference_generators_log1p_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8447599Z test_opinfo_reference_generators_log2_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8448399Z test_opinfo_reference_generators_log_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8449114Z test_opinfo_reference_generators_logical_and_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8449868Z test_opinfo_reference_generators_logical_not_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8450613Z test_opinfo_reference_generators_logical_or_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8451362Z test_opinfo_reference_generators_logical_xor_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8452084Z test_opinfo_reference_generators_logit_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8452806Z test_opinfo_reference_generators_long_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8453528Z test_opinfo_reference_generators_lt_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8454250Z test_opinfo_reference_generators_max_binary_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8454976Z test_opinfo_reference_generators_maximum_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8455706Z test_opinfo_reference_generators_min_binary_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8456429Z test_opinfo_reference_generators_minimum_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8457150Z test_opinfo_reference_generators_movedim_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8457848Z test_opinfo_reference_generators_mul_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8458593Z test_opinfo_reference_generators_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8459568Z test_opinfo_reference_generators_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8460352Z test_opinfo_reference_generators_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8461091Z test_opinfo_reference_generators_nan_to_num_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8461829Z test_opinfo_reference_generators_narrow_copy_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8462558Z test_opinfo_reference_generators_narrow_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8463258Z test_opinfo_reference_generators_ne_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8463963Z test_opinfo_reference_generators_neg_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8464679Z test_opinfo_reference_generators_nextafter_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8465537Z test_opinfo_reference_generators_nn_functional_celu_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8466312Z test_opinfo_reference_generators_nn_functional_elu_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8467083Z test_opinfo_reference_generators_nn_functional_group_norm_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8467878Z test_opinfo_reference_generators_nn_functional_hardshrink_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8468750Z test_opinfo_reference_generators_nn_functional_hardsigmoid_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8469628Z test_opinfo_reference_generators_nn_functional_hardtanh_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8470437Z test_opinfo_reference_generators_nn_functional_hinge_embedding_loss_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8471245Z test_opinfo_reference_generators_nn_functional_logsigmoid_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8472054Z test_opinfo_reference_generators_nn_functional_margin_ranking_loss_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8472826Z test_opinfo_reference_generators_nn_functional_mish_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8473593Z test_opinfo_reference_generators_nn_functional_prelu_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8474356Z test_opinfo_reference_generators_nn_functional_relu6_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8475113Z test_opinfo_reference_generators_nn_functional_relu_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8475863Z test_opinfo_reference_generators_nn_functional_rrelu_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8476629Z test_opinfo_reference_generators_nn_functional_selu_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8477404Z test_opinfo_reference_generators_nn_functional_silu_complex_cpu_complex64 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8478173Z test_opinfo_reference_generators_nn_functional_silu_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8478924Z test_opinfo_reference_generators_nn_functional_softplus_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8479716Z test_opinfo_reference_generators_nn_functional_softshrink_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8480510Z test_opinfo_reference_generators_nn_functional_softsign_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8481300Z test_opinfo_reference_generators_nn_functional_tanhshrink_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8482081Z test_opinfo_reference_generators_nn_functional_threshold_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8482839Z test_opinfo_reference_generators_permute_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8483566Z test_opinfo_reference_generators_polar_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8484326Z test_opinfo_reference_generators_polygamma_polygamma_n_0_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8485109Z test_opinfo_reference_generators_polygamma_polygamma_n_1_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8485902Z test_opinfo_reference_generators_polygamma_polygamma_n_2_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8486759Z test_opinfo_reference_generators_polygamma_polygamma_n_3_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8487568Z test_opinfo_reference_generators_polygamma_polygamma_n_4_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8488320Z test_opinfo_reference_generators_positive_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8489026Z test_opinfo_reference_generators_pow_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8489730Z test_opinfo_reference_generators_rad2deg_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8490469Z test_opinfo_reference_generators_real_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8491029Z test_opinfo_reference_generators_reciprocal_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8491660Z test_opinfo_reference_generators_remainder_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8492256Z test_opinfo_reference_generators_reshape_as_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8492855Z test_opinfo_reference_generators_reshape_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8493439Z test_opinfo_reference_generators_round_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8494061Z test_opinfo_reference_generators_round_decimals_0_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8494693Z test_opinfo_reference_generators_round_decimals_3_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8495307Z test_opinfo_reference_generators_round_decimals_neg_3_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8495919Z test_opinfo_reference_generators_rsqrt_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8496546Z test_opinfo_reference_generators_rsub_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8497148Z test_opinfo_reference_generators_sgn_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8497692Z test_opinfo_reference_generators_short_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8498273Z test_opinfo_reference_generators_sigmoid_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8499035Z test_opinfo_reference_generators_sign_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8499636Z test_opinfo_reference_generators_signal_windows_cosine_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8500268Z test_opinfo_reference_generators_signal_windows_exponential_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8500896Z test_opinfo_reference_generators_signal_windows_gaussian_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8501541Z test_opinfo_reference_generators_signal_windows_kaiser_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8502166Z test_opinfo_reference_generators_signbit_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8502740Z test_opinfo_reference_generators_sin_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8503347Z test_opinfo_reference_generators_sinc_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8503933Z test_opinfo_reference_generators_sinh_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8504701Z test_opinfo_reference_generators_special_airy_ai_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8505312Z test_opinfo_reference_generators_special_bessel_j0_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8505925Z test_opinfo_reference_generators_special_bessel_j1_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8506555Z test_opinfo_reference_generators_special_bessel_y0_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8507160Z test_opinfo_reference_generators_special_bessel_y1_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8507966Z test_opinfo_reference_generators_special_chebyshev_polynomial_t_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8508744Z test_opinfo_reference_generators_special_chebyshev_polynomial_u_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8509841Z test_opinfo_reference_generators_special_chebyshev_polynomial_v_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:41:20.8510944Z test_opinfo_reference_generators_special_chebyshev_polynomial_w_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:41:20.8511629Z test_opinfo_reference_generators_special_entr_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8512232Z test_opinfo_reference_generators_special_erfcx_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8512873Z test_opinfo_reference_generators_special_hermite_polynomial_h_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8513558Z test_opinfo_reference_generators_special_hermite_polynomial_he_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8514185Z test_opinfo_reference_generators_special_i0e_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8514818Z test_opinfo_reference_generators_special_i1_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8515441Z test_opinfo_reference_generators_special_i1e_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8516098Z test_opinfo_reference_generators_special_laguerre_polynomial_l_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8517145Z test_opinfo_reference_generators_special_legendre_polynomial_p_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:41:20.8517897Z test_opinfo_reference_generators_special_log_ndtr_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8518544Z test_opinfo_reference_generators_special_modified_bessel_i0_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8519201Z test_opinfo_reference_generators_special_modified_bessel_i1_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8519847Z test_opinfo_reference_generators_special_modified_bessel_k0_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8520499Z test_opinfo_reference_generators_special_modified_bessel_k1_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8521133Z test_opinfo_reference_generators_special_ndtr_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8521752Z test_opinfo_reference_generators_special_ndtri_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8522433Z test_opinfo_reference_generators_special_polygamma_special_polygamma_n_0_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8523254Z test_opinfo_reference_generators_special_scaled_modified_bessel_k0_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8523919Z test_opinfo_reference_generators_special_scaled_modified_bessel_k1_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8524979Z test_opinfo_reference_generators_special_shifted_chebyshev_polynomial_t_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:41:20.8526068Z test_opinfo_reference_generators_special_shifted_chebyshev_polynomial_u_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:41:20.8527275Z test_opinfo_reference_generators_special_shifted_chebyshev_polynomial_v_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:41:20.8528392Z test_opinfo_reference_generators_special_shifted_chebyshev_polynomial_w_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:41:20.8529158Z test_opinfo_reference_generators_special_spherical_bessel_j0_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8529813Z test_opinfo_reference_generators_special_xlog1py_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8530434Z test_opinfo_reference_generators_special_zeta_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8531040Z test_opinfo_reference_generators_sqrt_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8531648Z test_opinfo_reference_generators_square_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8532247Z test_opinfo_reference_generators_sub_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8532827Z test_opinfo_reference_generators_tan_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8533445Z test_opinfo_reference_generators_tanh_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8534075Z test_opinfo_reference_generators_true_divide_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8534704Z test_opinfo_reference_generators_trunc_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8535329Z test_opinfo_reference_generators_view_as_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8535930Z test_opinfo_reference_generators_view_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8536544Z test_opinfo_reference_generators_where_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8537111Z test_opinfo_reference_generators_xlogy_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8537691Z test_opinfo_sample_generators_H_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8538270Z test_opinfo_sample_generators_T_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8539021Z test_opinfo_sample_generators___getitem___cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8539607Z test_opinfo_sample_generators___radd___cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8540205Z test_opinfo_sample_generators___rand___cpu_int64 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8540785Z test_opinfo_sample_generators___rdiv___cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8541522Z test_opinfo_sample_generators___rmatmul___cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8542106Z test_opinfo_sample_generators___rmod___cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8542713Z test_opinfo_sample_generators___rmul___cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8543291Z test_opinfo_sample_generators___ror___cpu_int64 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8543840Z test_opinfo_sample_generators___rpow___cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8544602Z test_opinfo_sample_generators___rsub___cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8545179Z test_opinfo_sample_generators___rxor___cpu_int64 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8545783Z test_opinfo_sample_generators__softmax_backward_data_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8546376Z test_opinfo_sample_generators_abs_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8546965Z test_opinfo_sample_generators_acos_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8547611Z test_opinfo_sample_generators_acosh_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8548320Z test_opinfo_sample_generators_add_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8548898Z test_opinfo_sample_generators_addbmm_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8549499Z test_opinfo_sample_generators_addcdiv_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8550096Z test_opinfo_sample_generators_addcmul_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8550701Z test_opinfo_sample_generators_addmm_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8551279Z test_opinfo_sample_generators_addmm_decomposed_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8551876Z test_opinfo_sample_generators_addmv_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8552465Z test_opinfo_sample_generators_addr_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8553039Z test_opinfo_sample_generators_all_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8553658Z test_opinfo_sample_generators_allclose_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8554248Z test_opinfo_sample_generators_amax_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8554848Z test_opinfo_sample_generators_amin_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8555432Z test_opinfo_sample_generators_aminmax_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8556025Z test_opinfo_sample_generators_angle_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8556610Z test_opinfo_sample_generators_any_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8557203Z test_opinfo_sample_generators_arange_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8557804Z test_opinfo_sample_generators_argmax_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8558406Z test_opinfo_sample_generators_argmin_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8559022Z test_opinfo_sample_generators_argsort_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8559777Z test_opinfo_sample_generators_argwhere_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8560367Z test_opinfo_sample_generators_as_strided_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8560997Z test_opinfo_sample_generators_as_strided_scatter_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8561594Z test_opinfo_sample_generators_asin_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8562156Z test_opinfo_sample_generators_asinh_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8562856Z test_opinfo_sample_generators_atan2_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8563435Z test_opinfo_sample_generators_atan_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8564031Z test_opinfo_sample_generators_atanh_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8564618Z test_opinfo_sample_generators_atleast_1d_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8565220Z test_opinfo_sample_generators_atleast_2d_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8565834Z test_opinfo_sample_generators_atleast_3d_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8566444Z test_opinfo_sample_generators_baddbmm_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8567057Z test_opinfo_sample_generators_bernoulli_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8567666Z test_opinfo_sample_generators_bfloat16_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8568242Z test_opinfo_sample_generators_bincount_cpu_int64 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8568840Z test_opinfo_sample_generators_bitwise_and_cpu_int64 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8569435Z test_opinfo_sample_generators_bitwise_left_shift_cpu_int64 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8570046Z test_opinfo_sample_generators_bitwise_not_cpu_int64 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8570639Z test_opinfo_sample_generators_bitwise_or_cpu_int64 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8571234Z test_opinfo_sample_generators_bitwise_right_shift_cpu_int64 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8571924Z test_opinfo_sample_generators_bitwise_xor_cpu_int64 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8572563Z test_opinfo_sample_generators_block_diag_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8573150Z test_opinfo_sample_generators_bmm_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8573724Z test_opinfo_sample_generators_bool_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8574340Z test_opinfo_sample_generators_broadcast_shapes_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8574982Z test_opinfo_sample_generators_broadcast_tensors_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8575582Z test_opinfo_sample_generators_broadcast_to_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8576174Z test_opinfo_sample_generators_bucketize_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8576770Z test_opinfo_sample_generators_byte_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8577495Z test_opinfo_sample_generators_cartesian_prod_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8578113Z test_opinfo_sample_generators_cat_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8578687Z test_opinfo_sample_generators_cdist_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8579448Z test_opinfo_sample_generators_cdouble_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8580029Z test_opinfo_sample_generators_ceil_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8580606Z test_opinfo_sample_generators_cfloat_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8581337Z test_opinfo_sample_generators_chalf_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8581932Z test_opinfo_sample_generators_char_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8582555Z test_opinfo_sample_generators_cholesky_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8583175Z test_opinfo_sample_generators_cholesky_inverse_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8583825Z test_opinfo_sample_generators_cholesky_solve_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8584425Z test_opinfo_sample_generators_chunk_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8585019Z test_opinfo_sample_generators_clamp_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8585603Z test_opinfo_sample_generators_clamp_max_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8586192Z test_opinfo_sample_generators_clamp_min_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8586777Z test_opinfo_sample_generators_clone_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8587383Z test_opinfo_sample_generators_column_stack_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8587976Z test_opinfo_sample_generators_combinations_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8588694Z test_opinfo_sample_generators_complex_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8589274Z test_opinfo_sample_generators_conj_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8589882Z test_opinfo_sample_generators_conj_physical_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8590498Z test_opinfo_sample_generators_constant_pad_nd_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8591146Z test_opinfo_sample_generators_contiguous_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8591784Z test_opinfo_sample_generators_copysign_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8592351Z test_opinfo_sample_generators_corrcoef_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8592928Z test_opinfo_sample_generators_cos_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8593510Z test_opinfo_sample_generators_cosh_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8594112Z test_opinfo_sample_generators_count_nonzero_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8594698Z test_opinfo_sample_generators_cov_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8595267Z test_opinfo_sample_generators_cross_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8596041Z test_opinfo_sample_generators_cummax_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8596700Z test_opinfo_sample_generators_cummin_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8597274Z test_opinfo_sample_generators_cumprod_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8597864Z test_opinfo_sample_generators_cumsum_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8598495Z test_opinfo_sample_generators_cumulative_trapezoid_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8599226Z test_opinfo_sample_generators_deg2rad_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8599787Z test_opinfo_sample_generators_diag_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8600379Z test_opinfo_sample_generators_diag_embed_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8600983Z test_opinfo_sample_generators_diagflat_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8601578Z test_opinfo_sample_generators_diagonal_copy_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8602192Z test_opinfo_sample_generators_diagonal_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8602807Z test_opinfo_sample_generators_diagonal_scatter_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8603427Z test_opinfo_sample_generators_diff_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8604003Z test_opinfo_sample_generators_digamma_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8604598Z test_opinfo_sample_generators_dist_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8605215Z test_opinfo_sample_generators_div_floor_rounding_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8605850Z test_opinfo_sample_generators_div_no_rounding_mode_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8606481Z test_opinfo_sample_generators_div_trunc_rounding_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8607100Z test_opinfo_sample_generators_dot_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8607714Z test_opinfo_sample_generators_double_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8608327Z test_opinfo_sample_generators_dsplit_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8608891Z test_opinfo_sample_generators_dstack_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8609502Z test_opinfo_sample_generators_einsum_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8610084Z test_opinfo_sample_generators_empty_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8610674Z test_opinfo_sample_generators_empty_like_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8611259Z test_opinfo_sample_generators_eq_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8611845Z test_opinfo_sample_generators_equal_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8612430Z test_opinfo_sample_generators_erf_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8613019Z test_opinfo_sample_generators_erfc_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8613612Z test_opinfo_sample_generators_erfinv_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8614328Z test_opinfo_sample_generators_exp2_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8614928Z test_opinfo_sample_generators_exp_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8615526Z test_opinfo_sample_generators_expand_as_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8616130Z test_opinfo_sample_generators_expand_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8616703Z test_opinfo_sample_generators_expm1_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8617391Z test_opinfo_sample_generators_eye_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8617966Z test_opinfo_sample_generators_fft_fft2_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8618560Z test_opinfo_sample_generators_fft_fft_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8619602Z test_opinfo_sample_generators_fft_fftn_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8620012Z test_opinfo_sample_generators_fft_fftshift_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8620416Z test_opinfo_sample_generators_fft_hfft2_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8620810Z test_opinfo_sample_generators_fft_hfft_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8621199Z test_opinfo_sample_generators_fft_hfftn_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8621586Z test_opinfo_sample_generators_fft_ifft2_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8621974Z test_opinfo_sample_generators_fft_ifft_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8622365Z test_opinfo_sample_generators_fft_ifftn_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8622762Z test_opinfo_sample_generators_fft_ifftshift_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8623145Z test_opinfo_sample_generators_fft_ihfft2_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8623526Z test_opinfo_sample_generators_fft_ihfft_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8623909Z test_opinfo_sample_generators_fft_ihfftn_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8624301Z test_opinfo_sample_generators_fft_irfft2_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8624670Z test_opinfo_sample_generators_fft_irfft_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8625054Z test_opinfo_sample_generators_fft_irfftn_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8625437Z test_opinfo_sample_generators_fft_rfft2_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8625823Z test_opinfo_sample_generators_fft_rfft_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8626190Z test_opinfo_sample_generators_fft_rfftn_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8626569Z test_opinfo_sample_generators_fill_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8626953Z test_opinfo_sample_generators_flatten_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8627323Z test_opinfo_sample_generators_flip_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8627820Z test_opinfo_sample_generators_fliplr_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8628212Z test_opinfo_sample_generators_flipud_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8628657Z test_opinfo_sample_generators_float_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8629037Z test_opinfo_sample_generators_float_power_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8629426Z test_opinfo_sample_generators_floor_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8629817Z test_opinfo_sample_generators_floor_divide_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8630252Z test_opinfo_sample_generators_fmax_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8630616Z test_opinfo_sample_generators_fmin_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8630996Z test_opinfo_sample_generators_fmod_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8631375Z test_opinfo_sample_generators_frac_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8631752Z test_opinfo_sample_generators_frexp_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8632118Z test_opinfo_sample_generators_full_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8632503Z test_opinfo_sample_generators_full_like_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8632889Z test_opinfo_sample_generators_gather_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8633256Z test_opinfo_sample_generators_gcd_cpu_int64 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8633630Z test_opinfo_sample_generators_ge_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8634010Z test_opinfo_sample_generators_geqrf_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8634395Z test_opinfo_sample_generators_gradient_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8634786Z test_opinfo_sample_generators_grid_sampler_2d_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8635172Z test_opinfo_sample_generators_gt_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8635550Z test_opinfo_sample_generators_half_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8635937Z test_opinfo_sample_generators_heaviside_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8636311Z test_opinfo_sample_generators_histc_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8636707Z test_opinfo_sample_generators_histogram_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8637100Z test_opinfo_sample_generators_histogramdd_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8637490Z test_opinfo_sample_generators_hsplit_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8637861Z test_opinfo_sample_generators_hstack_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8638238Z test_opinfo_sample_generators_hypot_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8638614Z test_opinfo_sample_generators_i0_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8638985Z test_opinfo_sample_generators_igamma_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8639401Z test_opinfo_sample_generators_igammac_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8639789Z test_opinfo_sample_generators_imag_cpu_complex64 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8640176Z test_opinfo_sample_generators_index_add_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8640555Z test_opinfo_sample_generators_index_copy_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8640944Z test_opinfo_sample_generators_index_fill_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8641330Z test_opinfo_sample_generators_index_put_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8641752Z test_opinfo_sample_generators_index_reduce_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8642137Z test_opinfo_sample_generators_index_select_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8642524Z test_opinfo_sample_generators_inner_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8642901Z test_opinfo_sample_generators_int_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8643284Z test_opinfo_sample_generators_isclose_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8643658Z test_opinfo_sample_generators_isfinite_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8644040Z test_opinfo_sample_generators_isin_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8644423Z test_opinfo_sample_generators_isinf_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8644789Z test_opinfo_sample_generators_isnan_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8645170Z test_opinfo_sample_generators_isneginf_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8645555Z test_opinfo_sample_generators_isposinf_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8645934Z test_opinfo_sample_generators_isreal_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8646304Z test_opinfo_sample_generators_istft_cpu_complex64 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8646735Z test_opinfo_sample_generators_jiterator_2inputs_2outputs_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:41:20.8647204Z test_opinfo_sample_generators_jiterator_4inputs_with_extra_args_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:41:20.8647665Z test_opinfo_sample_generators_jiterator_binary_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:41:20.8648106Z test_opinfo_sample_generators_jiterator_binary_return_by_ref_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:41:20.8648560Z test_opinfo_sample_generators_jiterator_unary_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:41:20.8648973Z test_opinfo_sample_generators_kron_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8649360Z test_opinfo_sample_generators_kthvalue_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8649728Z test_opinfo_sample_generators_lcm_cpu_int64 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8650109Z test_opinfo_sample_generators_ldexp_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8650487Z test_opinfo_sample_generators_le_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8650898Z test_opinfo_sample_generators_lerp_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8651271Z test_opinfo_sample_generators_lgamma_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8651672Z test_opinfo_sample_generators_linalg_cholesky_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8652080Z test_opinfo_sample_generators_linalg_cholesky_ex_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8652480Z test_opinfo_sample_generators_linalg_cond_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8652891Z test_opinfo_sample_generators_linalg_cross_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8653283Z test_opinfo_sample_generators_linalg_det_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8653688Z test_opinfo_sample_generators_linalg_det_singular_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8654074Z test_opinfo_sample_generators_linalg_eig_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8654473Z test_opinfo_sample_generators_linalg_eigh_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8654877Z test_opinfo_sample_generators_linalg_eigvals_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8655282Z test_opinfo_sample_generators_linalg_eigvalsh_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8655689Z test_opinfo_sample_generators_linalg_householder_product_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8656102Z test_opinfo_sample_generators_linalg_inv_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8656496Z test_opinfo_sample_generators_linalg_inv_ex_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8656898Z test_opinfo_sample_generators_linalg_ldl_factor_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8657294Z test_opinfo_sample_generators_linalg_ldl_factor_ex_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8657705Z test_opinfo_sample_generators_linalg_ldl_solve_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8658104Z test_opinfo_sample_generators_linalg_lstsq_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8658520Z test_opinfo_sample_generators_linalg_lstsq_grad_oriented_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8659096Z test_opinfo_sample_generators_linalg_lu_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8659491Z test_opinfo_sample_generators_linalg_lu_factor_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8659895Z test_opinfo_sample_generators_linalg_lu_factor_ex_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8660296Z test_opinfo_sample_generators_linalg_lu_solve_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8660688Z test_opinfo_sample_generators_linalg_matrix_norm_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8661098Z test_opinfo_sample_generators_linalg_matrix_power_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8661507Z test_opinfo_sample_generators_linalg_matrix_rank_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8661935Z test_opinfo_sample_generators_linalg_matrix_rank_hermitian_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8662393Z test_opinfo_sample_generators_linalg_multi_dot_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8662793Z test_opinfo_sample_generators_linalg_norm_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8663211Z test_opinfo_sample_generators_linalg_norm_subgradients_at_zero_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8663639Z test_opinfo_sample_generators_linalg_pinv_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8664032Z test_opinfo_sample_generators_linalg_pinv_hermitian_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8664572Z test_opinfo_sample_generators_linalg_pinv_singular_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T01:41:20.8665031Z test_opinfo_sample_generators_linalg_qr_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8665432Z test_opinfo_sample_generators_linalg_slogdet_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8665821Z test_opinfo_sample_generators_linalg_solve_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8666220Z test_opinfo_sample_generators_linalg_solve_ex_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8666632Z test_opinfo_sample_generators_linalg_solve_triangular_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8667037Z test_opinfo_sample_generators_linalg_svd_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8667426Z test_opinfo_sample_generators_linalg_svdvals_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8667829Z test_opinfo_sample_generators_linalg_tensorinv_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8668310Z test_opinfo_sample_generators_linalg_tensorsolve_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8668710Z test_opinfo_sample_generators_linalg_vander_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8669110Z test_opinfo_sample_generators_linalg_vecdot_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8669512Z test_opinfo_sample_generators_linalg_vector_norm_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8669910Z test_opinfo_sample_generators_linspace_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8670287Z test_opinfo_sample_generators_log10_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8670663Z test_opinfo_sample_generators_log1p_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8671045Z test_opinfo_sample_generators_log2_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8671421Z test_opinfo_sample_generators_log_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8671794Z test_opinfo_sample_generators_log_softmax_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8672196Z test_opinfo_sample_generators_log_softmax_with_dtype_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8672601Z test_opinfo_sample_generators_logaddexp2_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8673003Z test_opinfo_sample_generators_logaddexp_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8673388Z test_opinfo_sample_generators_logcumsumexp_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8673812Z test_opinfo_sample_generators_logdet_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8674206Z test_opinfo_sample_generators_logical_and_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8674597Z test_opinfo_sample_generators_logical_not_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8674976Z test_opinfo_sample_generators_logical_or_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8675368Z test_opinfo_sample_generators_logical_xor_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8675753Z test_opinfo_sample_generators_logit_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8676158Z test_opinfo_sample_generators_logspace_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8676546Z test_opinfo_sample_generators_logsumexp_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8676935Z test_opinfo_sample_generators_long_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8677314Z test_opinfo_sample_generators_lt_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8677672Z test_opinfo_sample_generators_lu_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8678053Z test_opinfo_sample_generators_lu_solve_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8678439Z test_opinfo_sample_generators_lu_unpack_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8678825Z test_opinfo_sample_generators_mH_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8679187Z test_opinfo_sample_generators_mT_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8679574Z test_opinfo_sample_generators_masked_amax_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8679963Z test_opinfo_sample_generators_masked_amin_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8680358Z test_opinfo_sample_generators_masked_argmax_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8680746Z test_opinfo_sample_generators_masked_argmin_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8681143Z test_opinfo_sample_generators_masked_cumprod_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8681542Z test_opinfo_sample_generators_masked_cumsum_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8681926Z test_opinfo_sample_generators_masked_fill_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8682326Z test_opinfo_sample_generators_masked_log_softmax_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8682738Z test_opinfo_sample_generators_masked_logaddexp_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8683141Z test_opinfo_sample_generators_masked_logsumexp_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8683531Z test_opinfo_sample_generators_masked_mean_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8683924Z test_opinfo_sample_generators_masked_median_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8684318Z test_opinfo_sample_generators_masked_norm_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8684717Z test_opinfo_sample_generators_masked_normalize_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8685104Z test_opinfo_sample_generators_masked_prod_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8685534Z test_opinfo_sample_generators_masked_scatter_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8685933Z test_opinfo_sample_generators_masked_select_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8686333Z test_opinfo_sample_generators_masked_softmax_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8686715Z test_opinfo_sample_generators_masked_softmin_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8687107Z test_opinfo_sample_generators_masked_std_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8687537Z test_opinfo_sample_generators_masked_sum_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8687925Z test_opinfo_sample_generators_masked_var_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8688297Z test_opinfo_sample_generators_matmul_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8688680Z test_opinfo_sample_generators_matrix_exp_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8689074Z test_opinfo_sample_generators_max_binary_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8689477Z test_opinfo_sample_generators_max_pool2d_with_indices_backward_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8689904Z test_opinfo_sample_generators_max_reduction_no_dim_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8690320Z test_opinfo_sample_generators_max_reduction_with_dim_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8690720Z test_opinfo_sample_generators_maximum_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8691097Z test_opinfo_sample_generators_mean_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8691482Z test_opinfo_sample_generators_median_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8691880Z test_opinfo_sample_generators_meshgrid_list_of_tensors_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8692301Z test_opinfo_sample_generators_meshgrid_variadic_tensors_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8692694Z test_opinfo_sample_generators_min_binary_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8693097Z test_opinfo_sample_generators_min_reduction_no_dim_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8693517Z test_opinfo_sample_generators_min_reduction_with_dim_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8693921Z test_opinfo_sample_generators_minimum_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8694286Z test_opinfo_sample_generators_mm_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8694663Z test_opinfo_sample_generators_mode_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8695043Z test_opinfo_sample_generators_movedim_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8695427Z test_opinfo_sample_generators_msort_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8695797Z test_opinfo_sample_generators_mul_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8696182Z test_opinfo_sample_generators_multinomial_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8696566Z test_opinfo_sample_generators_mv_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8696981Z test_opinfo_sample_generators_mvlgamma_mvlgamma_p_1_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8697389Z test_opinfo_sample_generators_mvlgamma_mvlgamma_p_3_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8697797Z test_opinfo_sample_generators_mvlgamma_mvlgamma_p_5_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8698197Z test_opinfo_sample_generators_nan_to_num_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8698578Z test_opinfo_sample_generators_nanmean_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8699119Z test_opinfo_sample_generators_nanmedian_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8699518Z test_opinfo_sample_generators_nanquantile_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8699914Z test_opinfo_sample_generators_nansum_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8700293Z test_opinfo_sample_generators_narrow_copy_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8700680Z test_opinfo_sample_generators_narrow_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8701074Z test_opinfo_sample_generators_native_batch_norm_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8701490Z test_opinfo_sample_generators_native_dropout_backward_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8701893Z test_opinfo_sample_generators_native_layer_norm_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8702281Z test_opinfo_sample_generators_ne_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8702659Z test_opinfo_sample_generators_neg_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8703044Z test_opinfo_sample_generators_new_empty_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8703428Z test_opinfo_sample_generators_new_empty_strided_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8703823Z test_opinfo_sample_generators_new_full_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8704208Z test_opinfo_sample_generators_new_ones_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8704595Z test_opinfo_sample_generators_new_zeros_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8704969Z test_opinfo_sample_generators_nextafter_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8705394Z test_opinfo_sample_generators_nn_functional__scaled_dot_product_attention_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8705843Z test_opinfo_sample_generators_nn_functional_adaptive_avg_pool1d_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8706266Z test_opinfo_sample_generators_nn_functional_adaptive_avg_pool2d_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8706692Z test_opinfo_sample_generators_nn_functional_adaptive_avg_pool3d_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8707118Z test_opinfo_sample_generators_nn_functional_adaptive_max_pool1d_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8707553Z test_opinfo_sample_generators_nn_functional_adaptive_max_pool2d_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8708030Z test_opinfo_sample_generators_nn_functional_adaptive_max_pool3d_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8708520Z test_opinfo_sample_generators_nn_functional_alpha_dropout_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8708949Z test_opinfo_sample_generators_nn_functional_avg_pool1d_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8709371Z test_opinfo_sample_generators_nn_functional_avg_pool2d_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8709784Z test_opinfo_sample_generators_nn_functional_avg_pool3d_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8710223Z test_opinfo_sample_generators_nn_functional_batch_norm_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8710647Z test_opinfo_sample_generators_nn_functional_bilinear_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8711076Z test_opinfo_sample_generators_nn_functional_binary_cross_entropy_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8711511Z test_opinfo_sample_generators_nn_functional_binary_cross_entropy_with_logits_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8711938Z test_opinfo_sample_generators_nn_functional_celu_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8712345Z test_opinfo_sample_generators_nn_functional_conv1d_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8712757Z test_opinfo_sample_generators_nn_functional_conv2d_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8713170Z test_opinfo_sample_generators_nn_functional_conv_transpose1d_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8713600Z test_opinfo_sample_generators_nn_functional_conv_transpose2d_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8714034Z test_opinfo_sample_generators_nn_functional_conv_transpose3d_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8714477Z test_opinfo_sample_generators_nn_functional_cosine_embedding_loss_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8714904Z test_opinfo_sample_generators_nn_functional_cosine_similarity_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8715332Z test_opinfo_sample_generators_nn_functional_cross_entropy_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8715759Z test_opinfo_sample_generators_nn_functional_ctc_loss_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8716178Z test_opinfo_sample_generators_nn_functional_dropout2d_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8716586Z test_opinfo_sample_generators_nn_functional_dropout3d_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8717000Z test_opinfo_sample_generators_nn_functional_dropout_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8717415Z test_opinfo_sample_generators_nn_functional_elu_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8717831Z test_opinfo_sample_generators_nn_functional_embedding_bag_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8718238Z test_opinfo_sample_generators_nn_functional_embedding_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8718690Z test_opinfo_sample_generators_nn_functional_feature_alpha_dropout_with_train_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8719190Z test_opinfo_sample_generators_nn_functional_feature_alpha_dropout_without_train_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8719645Z test_opinfo_sample_generators_nn_functional_fractional_max_pool2d_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8720073Z test_opinfo_sample_generators_nn_functional_fractional_max_pool3d_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8720515Z test_opinfo_sample_generators_nn_functional_gaussian_nll_loss_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8720942Z test_opinfo_sample_generators_nn_functional_gelu_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8721378Z test_opinfo_sample_generators_nn_functional_glu_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8721782Z test_opinfo_sample_generators_nn_functional_grid_sample_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8722207Z test_opinfo_sample_generators_nn_functional_group_norm_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8722632Z test_opinfo_sample_generators_nn_functional_hardshrink_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8723059Z test_opinfo_sample_generators_nn_functional_hardsigmoid_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8723470Z test_opinfo_sample_generators_nn_functional_hardswish_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8723888Z test_opinfo_sample_generators_nn_functional_hardtanh_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8724322Z test_opinfo_sample_generators_nn_functional_hinge_embedding_loss_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8724801Z test_opinfo_sample_generators_nn_functional_huber_loss_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8725252Z test_opinfo_sample_generators_nn_functional_instance_norm_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8725687Z test_opinfo_sample_generators_nn_functional_interpolate_area_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8726121Z test_opinfo_sample_generators_nn_functional_interpolate_bicubic_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8726564Z test_opinfo_sample_generators_nn_functional_interpolate_bilinear_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8726994Z test_opinfo_sample_generators_nn_functional_interpolate_linear_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8727432Z test_opinfo_sample_generators_nn_functional_interpolate_nearest_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8727870Z test_opinfo_sample_generators_nn_functional_interpolate_trilinear_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8728292Z test_opinfo_sample_generators_nn_functional_kl_div_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8728691Z test_opinfo_sample_generators_nn_functional_l1_loss_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8729099Z test_opinfo_sample_generators_nn_functional_layer_norm_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8729518Z test_opinfo_sample_generators_nn_functional_leaky_relu_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8729928Z test_opinfo_sample_generators_nn_functional_linear_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8730379Z test_opinfo_sample_generators_nn_functional_local_response_norm_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8730806Z test_opinfo_sample_generators_nn_functional_logsigmoid_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8731233Z test_opinfo_sample_generators_nn_functional_margin_ranking_loss_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8731656Z test_opinfo_sample_generators_nn_functional_max_pool1d_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8732058Z test_opinfo_sample_generators_nn_functional_max_pool2d_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8732492Z test_opinfo_sample_generators_nn_functional_max_pool3d_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8732905Z test_opinfo_sample_generators_nn_functional_max_unpool1d_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8733331Z test_opinfo_sample_generators_nn_functional_max_unpool1d_grad_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8733746Z test_opinfo_sample_generators_nn_functional_max_unpool2d_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8734173Z test_opinfo_sample_generators_nn_functional_max_unpool2d_grad_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8734599Z test_opinfo_sample_generators_nn_functional_max_unpool3d_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8735029Z test_opinfo_sample_generators_nn_functional_max_unpool3d_grad_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8735437Z test_opinfo_sample_generators_nn_functional_mish_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8735846Z test_opinfo_sample_generators_nn_functional_mse_loss_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8736266Z test_opinfo_sample_generators_nn_functional_multi_margin_loss_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8736698Z test_opinfo_sample_generators_nn_functional_multilabel_margin_loss_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8737127Z test_opinfo_sample_generators_nn_functional_multilabel_soft_margin_loss_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8737555Z test_opinfo_sample_generators_nn_functional_nll_loss_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8737969Z test_opinfo_sample_generators_nn_functional_normalize_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8738379Z test_opinfo_sample_generators_nn_functional_one_hot_cpu_int64 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8738883Z test_opinfo_sample_generators_nn_functional_pad_circular_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8739311Z test_opinfo_sample_generators_nn_functional_pad_constant_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8739731Z test_opinfo_sample_generators_nn_functional_pad_reflect_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8740153Z test_opinfo_sample_generators_nn_functional_pad_replicate_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8740571Z test_opinfo_sample_generators_nn_functional_pairwise_distance_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8741001Z test_opinfo_sample_generators_nn_functional_pdist_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8741422Z test_opinfo_sample_generators_nn_functional_pixel_shuffle_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8741928Z test_opinfo_sample_generators_nn_functional_pixel_unshuffle_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8742345Z test_opinfo_sample_generators_nn_functional_poisson_nll_loss_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8742758Z test_opinfo_sample_generators_nn_functional_prelu_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8743166Z test_opinfo_sample_generators_nn_functional_relu6_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8743625Z test_opinfo_sample_generators_nn_functional_relu_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8744020Z test_opinfo_sample_generators_nn_functional_rrelu_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8744431Z test_opinfo_sample_generators_nn_functional_selu_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8744850Z test_opinfo_sample_generators_nn_functional_silu_complex_cpu_complex64 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8745264Z test_opinfo_sample_generators_nn_functional_silu_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8745667Z test_opinfo_sample_generators_nn_functional_smooth_l1_loss_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8746090Z test_opinfo_sample_generators_nn_functional_soft_margin_loss_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8746506Z test_opinfo_sample_generators_nn_functional_softmin_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8746927Z test_opinfo_sample_generators_nn_functional_softmin_with_dtype_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8747337Z test_opinfo_sample_generators_nn_functional_softplus_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8747750Z test_opinfo_sample_generators_nn_functional_softshrink_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8748160Z test_opinfo_sample_generators_nn_functional_softsign_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8748651Z test_opinfo_sample_generators_nn_functional_tanhshrink_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8749054Z test_opinfo_sample_generators_nn_functional_threshold_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8749486Z test_opinfo_sample_generators_nn_functional_triplet_margin_loss_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8749939Z test_opinfo_sample_generators_nn_functional_triplet_margin_with_distance_loss_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8750377Z test_opinfo_sample_generators_nn_functional_unfold_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8750792Z test_opinfo_sample_generators_nn_functional_upsample_bilinear_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8751229Z test_opinfo_sample_generators_nn_functional_upsample_nearest_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8751644Z test_opinfo_sample_generators_nonzero_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8752031Z test_opinfo_sample_generators_norm_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8752403Z test_opinfo_sample_generators_norm_fro_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8752823Z test_opinfo_sample_generators_norm_inf_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8753208Z test_opinfo_sample_generators_norm_nuc_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8753571Z test_opinfo_sample_generators_normal_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8753960Z test_opinfo_sample_generators_normal_number_mean_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8754349Z test_opinfo_sample_generators_ones_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8754728Z test_opinfo_sample_generators_ones_like_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8755130Z test_opinfo_sample_generators_ormqr_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8755510Z test_opinfo_sample_generators_outer_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8755895Z test_opinfo_sample_generators_pca_lowrank_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8756290Z test_opinfo_sample_generators_permute_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8756661Z test_opinfo_sample_generators_pinverse_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8757043Z test_opinfo_sample_generators_polar_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8757445Z test_opinfo_sample_generators_polygamma_polygamma_n_0_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8757867Z test_opinfo_sample_generators_polygamma_polygamma_n_1_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8758266Z test_opinfo_sample_generators_polygamma_polygamma_n_2_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8758679Z test_opinfo_sample_generators_polygamma_polygamma_n_3_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8759085Z test_opinfo_sample_generators_polygamma_polygamma_n_4_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8759482Z test_opinfo_sample_generators_positive_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8759849Z test_opinfo_sample_generators_pow_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8760230Z test_opinfo_sample_generators_prod_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8760609Z test_opinfo_sample_generators_put_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8760974Z test_opinfo_sample_generators_qr_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8761359Z test_opinfo_sample_generators_quantile_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8761748Z test_opinfo_sample_generators_rad2deg_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8762133Z test_opinfo_sample_generators_rand_like_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8762502Z test_opinfo_sample_generators_randint_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8762889Z test_opinfo_sample_generators_randint_like_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8763276Z test_opinfo_sample_generators_randn_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8763660Z test_opinfo_sample_generators_randn_like_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8764031Z test_opinfo_sample_generators_ravel_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8764441Z test_opinfo_sample_generators_real_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8764833Z test_opinfo_sample_generators_reciprocal_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8765229Z test_opinfo_sample_generators_remainder_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8765601Z test_opinfo_sample_generators_renorm_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8765982Z test_opinfo_sample_generators_repeat_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8766406Z test_opinfo_sample_generators_repeat_interleave_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8766809Z test_opinfo_sample_generators_reshape_as_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8767186Z test_opinfo_sample_generators_reshape_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8767569Z test_opinfo_sample_generators_resize__cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8767951Z test_opinfo_sample_generators_resize_as__cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8768326Z test_opinfo_sample_generators_resolve_conj_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8768720Z test_opinfo_sample_generators_resolve_neg_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8769105Z test_opinfo_sample_generators_roll_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8769485Z test_opinfo_sample_generators_rot90_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8769856Z test_opinfo_sample_generators_round_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8770249Z test_opinfo_sample_generators_round_decimals_0_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8770651Z test_opinfo_sample_generators_round_decimals_3_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8771059Z test_opinfo_sample_generators_round_decimals_neg_3_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8771436Z test_opinfo_sample_generators_rsqrt_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8771809Z test_opinfo_sample_generators_rsub_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8772201Z test_opinfo_sample_generators_scalar_tensor_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8772597Z test_opinfo_sample_generators_scatter_add_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8772983Z test_opinfo_sample_generators_scatter_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8773384Z test_opinfo_sample_generators_scatter_reduce_amax_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8773787Z test_opinfo_sample_generators_scatter_reduce_amin_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8774183Z test_opinfo_sample_generators_scatter_reduce_mean_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8774591Z test_opinfo_sample_generators_scatter_reduce_prod_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8775003Z test_opinfo_sample_generators_scatter_reduce_sum_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8775411Z test_opinfo_sample_generators_searchsorted_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8775846Z test_opinfo_sample_generators_segment_reduce_lengths_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8776267Z test_opinfo_sample_generators_segment_reduce_offsets_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8776673Z test_opinfo_sample_generators_select_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8777066Z test_opinfo_sample_generators_select_scatter_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8777443Z test_opinfo_sample_generators_sgn_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8777851Z test_opinfo_sample_generators_short_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8778241Z test_opinfo_sample_generators_sigmoid_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8778628Z test_opinfo_sample_generators_sign_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8779124Z test_opinfo_sample_generators_signal_windows_cosine_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8779544Z test_opinfo_sample_generators_signal_windows_exponential_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8779980Z test_opinfo_sample_generators_signal_windows_gaussian_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8780397Z test_opinfo_sample_generators_signal_windows_kaiser_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8780791Z test_opinfo_sample_generators_signbit_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8781173Z test_opinfo_sample_generators_sin_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8781363Z test_opinfo_sample_generators_sinc_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8781544Z test_opinfo_sample_generators_sinh_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8781729Z test_opinfo_sample_generators_slice_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8781925Z test_opinfo_sample_generators_slice_scatter_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8782111Z test_opinfo_sample_generators_softmax_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8782298Z test_opinfo_sample_generators_softmax_with_dtype_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8782480Z test_opinfo_sample_generators_sort_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8782686Z test_opinfo_sample_generators_sparse_sampled_addmm_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8782879Z test_opinfo_sample_generators_special_airy_ai_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8783074Z test_opinfo_sample_generators_special_bessel_j0_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8783264Z test_opinfo_sample_generators_special_bessel_j1_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8783458Z test_opinfo_sample_generators_special_bessel_y0_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8783650Z test_opinfo_sample_generators_special_bessel_y1_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8783869Z test_opinfo_sample_generators_special_chebyshev_polynomial_t_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8784112Z test_opinfo_sample_generators_special_chebyshev_polynomial_u_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8784607Z test_opinfo_sample_generators_special_chebyshev_polynomial_v_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:41:20.8785014Z test_opinfo_sample_generators_special_chebyshev_polynomial_w_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:41:20.8785209Z test_opinfo_sample_generators_special_entr_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8785441Z test_opinfo_sample_generators_special_erfcx_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8785654Z test_opinfo_sample_generators_special_hermite_polynomial_h_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8785868Z test_opinfo_sample_generators_special_hermite_polynomial_he_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8786060Z test_opinfo_sample_generators_special_i0e_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8786249Z test_opinfo_sample_generators_special_i1_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8786437Z test_opinfo_sample_generators_special_i1e_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8786633Z test_opinfo_sample_generators_special_laguerre_polynomial_l_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8787039Z test_opinfo_sample_generators_special_legendre_polynomial_p_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:41:20.8787233Z test_opinfo_sample_generators_special_log_ndtr_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8787439Z test_opinfo_sample_generators_special_modified_bessel_i0_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8787643Z test_opinfo_sample_generators_special_modified_bessel_i1_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8787847Z test_opinfo_sample_generators_special_modified_bessel_k0_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8788043Z test_opinfo_sample_generators_special_modified_bessel_k1_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8788300Z test_opinfo_sample_generators_special_ndtr_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8788496Z test_opinfo_sample_generators_special_ndtri_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8788719Z test_opinfo_sample_generators_special_polygamma_special_polygamma_n_0_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8788932Z test_opinfo_sample_generators_special_scaled_modified_bessel_k0_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8789126Z test_opinfo_sample_generators_special_scaled_modified_bessel_k1_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8789551Z test_opinfo_sample_generators_special_shifted_chebyshev_polynomial_t_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:41:20.8789966Z test_opinfo_sample_generators_special_shifted_chebyshev_polynomial_u_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:41:20.8790415Z test_opinfo_sample_generators_special_shifted_chebyshev_polynomial_v_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:41:20.8790830Z test_opinfo_sample_generators_special_shifted_chebyshev_polynomial_w_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... skip: Skipping - testing takes an unreasonably long time, #79528 (0.000s) 2022-11-23T01:41:20.8791036Z test_opinfo_sample_generators_special_spherical_bessel_j0_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8791232Z test_opinfo_sample_generators_special_xlog1py_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8791423Z test_opinfo_sample_generators_special_zeta_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8791644Z test_opinfo_sample_generators_split_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8791838Z test_opinfo_sample_generators_split_list_args_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8792032Z test_opinfo_sample_generators_split_with_sizes_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8792203Z test_opinfo_sample_generators_sqrt_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8792390Z test_opinfo_sample_generators_square_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8792577Z test_opinfo_sample_generators_squeeze_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8792762Z test_opinfo_sample_generators_stack_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8792945Z test_opinfo_sample_generators_std_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8793131Z test_opinfo_sample_generators_std_mean_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8793316Z test_opinfo_sample_generators_stft_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8793495Z test_opinfo_sample_generators_sub_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8793675Z test_opinfo_sample_generators_sum_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8793849Z test_opinfo_sample_generators_sum_to_size_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8794026Z test_opinfo_sample_generators_svd_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8794211Z test_opinfo_sample_generators_svd_lowrank_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8794396Z test_opinfo_sample_generators_symeig_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8794574Z test_opinfo_sample_generators_t_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8794768Z test_opinfo_sample_generators_take_along_dim_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8794949Z test_opinfo_sample_generators_take_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8795127Z test_opinfo_sample_generators_tan_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8795302Z test_opinfo_sample_generators_tanh_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8795480Z test_opinfo_sample_generators_tensor_split_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8795667Z test_opinfo_sample_generators_tensordot_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8795843Z test_opinfo_sample_generators_tile_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8796050Z test_opinfo_sample_generators_to_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8796237Z test_opinfo_sample_generators_to_sparse_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8796417Z test_opinfo_sample_generators_topk_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8796598Z test_opinfo_sample_generators_trace_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8796785Z test_opinfo_sample_generators_transpose_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8796970Z test_opinfo_sample_generators_trapezoid_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8797165Z test_opinfo_sample_generators_trapz_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8797359Z test_opinfo_sample_generators_triangular_solve_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8797536Z test_opinfo_sample_generators_tril_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8797723Z test_opinfo_sample_generators_tril_indices_cpu_int64 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8797899Z test_opinfo_sample_generators_triu_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8798085Z test_opinfo_sample_generators_triu_indices_cpu_int64 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8798271Z test_opinfo_sample_generators_true_divide_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8798454Z test_opinfo_sample_generators_trunc_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8798636Z test_opinfo_sample_generators_unbind_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8798812Z test_opinfo_sample_generators_unflatten_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8798997Z test_opinfo_sample_generators_unfold_copy_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8799180Z test_opinfo_sample_generators_unfold_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8799363Z test_opinfo_sample_generators_uniform_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8799561Z test_opinfo_sample_generators_unique_consecutive_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8799741Z test_opinfo_sample_generators_unique_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8799925Z test_opinfo_sample_generators_unsqueeze_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8800107Z test_opinfo_sample_generators_var_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8800292Z test_opinfo_sample_generators_var_mean_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8800459Z test_opinfo_sample_generators_vdot_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8800651Z test_opinfo_sample_generators_view_as_complex_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8800834Z test_opinfo_sample_generators_view_as_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8801024Z test_opinfo_sample_generators_view_as_real_cpu_complex64 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8801210Z test_opinfo_sample_generators_view_copy_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8801389Z test_opinfo_sample_generators_view_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8801600Z test_opinfo_sample_generators_vsplit_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8801784Z test_opinfo_sample_generators_vstack_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8801966Z test_opinfo_sample_generators_where_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8802144Z test_opinfo_sample_generators_xlogy_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8802309Z test_opinfo_sample_generators_zero__cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8802525Z test_opinfo_sample_generators_zeros_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8802711Z test_opinfo_sample_generators_zeros_like_cpu_float32 (__main__.TestOpInfoSampleFunctionsCPU) ... ok (0.001s) 2022-11-23T01:41:20.8802827Z test_sample_input (__main__.TestOpInfos) ... ok (0.002s) 2022-11-23T01:41:20.8802956Z test_sample_input_metadata (__main__.TestOpInfos) ... ok (0.001s) 2022-11-23T01:41:20.8803097Z test_default_names (__main__.TestTestParametrization) ... ok (0.002s) 2022-11-23T01:41:20.8803258Z test_modules_decorator_misuse_error (__main__.TestTestParametrization) ... ok (0.001s) 2022-11-23T01:41:20.8803426Z test_multiple_handling_of_same_param_error (__main__.TestTestParametrization) ... ok (0.001s) 2022-11-23T01:41:20.8803544Z test_name_fn (__main__.TestTestParametrization) ... ok (0.002s) 2022-11-23T01:41:20.8803699Z test_ops_decorator_misuse_error (__main__.TestTestParametrization) ... ok (0.001s) 2022-11-23T01:41:20.8803855Z test_subtest_expected_failure_x_1 (__main__.TestTestParametrization) ... ok (0.001s) 2022-11-23T01:41:20.8804033Z test_subtest_expected_failure_x_2 (__main__.TestTestParametrization) ... expected failure (0.001s) 2022-11-23T01:41:20.8804186Z test_subtest_expected_failure_x_3 (__main__.TestTestParametrization) ... ok (0.001s) 2022-11-23T01:41:20.8804328Z test_subtest_names (__main__.TestTestParametrization) ... ok (0.001s) 2022-11-23T01:41:20.8804515Z test_two_things_subtest_expected_failure_x_1_y_4 (__main__.TestTestParametrization) ... expected failure (0.001s) 2022-11-23T01:41:20.8804700Z test_two_things_subtest_expected_failure_x_1_y_5 (__main__.TestTestParametrization) ... expected failure (0.001s) 2022-11-23T01:41:20.8804888Z test_two_things_subtest_expected_failure_x_1_y_6 (__main__.TestTestParametrization) ... expected failure (0.001s) 2022-11-23T01:41:20.8805043Z test_two_things_subtest_expected_failure_x_2_y_4 (__main__.TestTestParametrization) ... ok (0.001s) 2022-11-23T01:41:20.8805213Z test_two_things_subtest_expected_failure_x_2_y_5 (__main__.TestTestParametrization) ... ok (0.001s) 2022-11-23T01:41:20.8805397Z test_two_things_subtest_expected_failure_x_2_y_6 (__main__.TestTestParametrization) ... expected failure (0.001s) 2022-11-23T01:41:20.8805563Z test_two_things_subtest_expected_failure_x_3_y_4 (__main__.TestTestParametrization) ... ok (0.001s) 2022-11-23T01:41:20.8805733Z test_two_things_subtest_expected_failure_x_3_y_5 (__main__.TestTestParametrization) ... ok (0.001s) 2022-11-23T01:41:20.8805916Z test_two_things_subtest_expected_failure_x_3_y_6 (__main__.TestTestParametrization) ... expected failure (0.001s) 2022-11-23T01:41:20.8806094Z test_default_names_cpu (__main__.TestTestParametrizationDeviceTypeCPU) ... ok (0.002s) 2022-11-23T01:41:20.8806286Z test_dtypes_composition_invalid_cpu (__main__.TestTestParametrizationDeviceTypeCPU) ... ok (0.002s) 2022-11-23T01:41:20.8806475Z test_dtypes_composition_valid_cpu (__main__.TestTestParametrizationDeviceTypeCPU) ... ok (0.002s) 2022-11-23T01:41:20.8806668Z test_multiple_handling_of_same_param_error_cpu (__main__.TestTestParametrizationDeviceTypeCPU) ... ok (0.002s) 2022-11-23T01:41:20.8806839Z test_name_fn_cpu (__main__.TestTestParametrizationDeviceTypeCPU) ... ok (0.002s) 2022-11-23T01:41:20.8807054Z test_ops_composition_names_cpu (__main__.TestTestParametrizationDeviceTypeCPU) ... ok (0.564s) 2022-11-23T01:41:20.8807247Z test_subtest_expected_failure_x_1_cpu (__main__.TestTestParametrizationDeviceTypeCPU) ... ok (0.001s) 2022-11-23T01:41:20.8807456Z test_subtest_expected_failure_x_2_cpu (__main__.TestTestParametrizationDeviceTypeCPU) ... expected failure (0.001s) 2022-11-23T01:41:20.8807647Z test_subtest_expected_failure_x_3_cpu (__main__.TestTestParametrizationDeviceTypeCPU) ... ok (0.001s) 2022-11-23T01:41:20.8807820Z test_subtest_names_cpu (__main__.TestTestParametrizationDeviceTypeCPU) ... ok (0.002s) 2022-11-23T01:41:20.8808041Z test_two_things_subtest_expected_failure_x_1_y_4_cpu (__main__.TestTestParametrizationDeviceTypeCPU) ... expected failure (0.001s) 2022-11-23T01:41:20.8808292Z test_two_things_subtest_expected_failure_x_1_y_5_cpu (__main__.TestTestParametrizationDeviceTypeCPU) ... expected failure (0.001s) 2022-11-23T01:41:20.8808500Z test_two_things_subtest_expected_failure_x_1_y_6_cpu (__main__.TestTestParametrizationDeviceTypeCPU) ... expected failure (0.001s) 2022-11-23T01:41:20.8808709Z test_two_things_subtest_expected_failure_x_2_y_4_cpu (__main__.TestTestParametrizationDeviceTypeCPU) ... ok (0.001s) 2022-11-23T01:41:20.8808912Z test_two_things_subtest_expected_failure_x_2_y_5_cpu (__main__.TestTestParametrizationDeviceTypeCPU) ... ok (0.001s) 2022-11-23T01:41:20.8809132Z test_two_things_subtest_expected_failure_x_2_y_6_cpu (__main__.TestTestParametrizationDeviceTypeCPU) ... expected failure (0.001s) 2022-11-23T01:41:20.8809334Z test_two_things_subtest_expected_failure_x_3_y_4_cpu (__main__.TestTestParametrizationDeviceTypeCPU) ... ok (0.001s) 2022-11-23T01:41:20.8809535Z test_two_things_subtest_expected_failure_x_3_y_5_cpu (__main__.TestTestParametrizationDeviceTypeCPU) ... ok (0.001s) 2022-11-23T01:41:20.8809753Z test_two_things_subtest_expected_failure_x_3_y_6_cpu (__main__.TestTestParametrizationDeviceTypeCPU) ... expected failure (0.001s) 2022-11-23T01:41:20.8809941Z test_unparametrized_names_cpu (__main__.TestTestParametrizationDeviceTypeCPU) ... ok (0.001s) 2022-11-23T01:41:20.8810085Z test_assertEqual_longMessage_cpu (__main__.TestTestingCPU) ... ok (0.002s) 2022-11-23T01:41:20.8810212Z test_assertEqual_numpy_cpu_bool (__main__.TestTestingCPU) ... ok (0.003s) 2022-11-23T01:41:20.8810356Z test_assertEqual_numpy_cpu_complex128 (__main__.TestTestingCPU) ... ok (0.003s) 2022-11-23T01:41:20.8810501Z test_assertEqual_numpy_cpu_complex64 (__main__.TestTestingCPU) ... ok (0.003s) 2022-11-23T01:41:20.8810642Z test_assertEqual_numpy_cpu_float16 (__main__.TestTestingCPU) ... ok (0.003s) 2022-11-23T01:41:20.8810778Z test_assertEqual_numpy_cpu_float32 (__main__.TestTestingCPU) ... ok (0.003s) 2022-11-23T01:41:20.8810913Z test_assertEqual_numpy_cpu_float64 (__main__.TestTestingCPU) ... ok (0.003s) 2022-11-23T01:41:20.8811049Z test_assertEqual_numpy_cpu_int16 (__main__.TestTestingCPU) ... ok (0.003s) 2022-11-23T01:41:20.8811183Z test_assertEqual_numpy_cpu_int32 (__main__.TestTestingCPU) ... ok (0.003s) 2022-11-23T01:41:20.8811307Z test_assertEqual_numpy_cpu_int64 (__main__.TestTestingCPU) ... ok (0.003s) 2022-11-23T01:41:20.8811441Z test_assertEqual_numpy_cpu_int8 (__main__.TestTestingCPU) ... ok (0.003s) 2022-11-23T01:41:20.8811576Z test_assertEqual_numpy_cpu_uint8 (__main__.TestTestingCPU) ... ok (0.003s) 2022-11-23T01:41:20.8811772Z test_cuda_assert_should_not_stop_common_distributed_test_suite_cpu (__main__.TestTestingCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:41:20.8811967Z test_cuda_assert_should_stop_common_device_type_test_suite_cpu (__main__.TestTestingCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:41:20.8812148Z test_cuda_assert_should_stop_common_utils_test_suite_cpu (__main__.TestTestingCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:41:20.8812284Z test_get_supported_dtypes_cpu (__main__.TestTestingCPU) ... ok (0.053s) 2022-11-23T01:41:20.8812438Z test_isclose_atol_rtol_greater_than_zero_cpu_bool (__main__.TestTestingCPU) ... ok (0.008s) 2022-11-23T01:41:20.8812621Z test_isclose_atol_rtol_greater_than_zero_cpu_float16 (__main__.TestTestingCPU) ... ok (0.008s) 2022-11-23T01:41:20.8812763Z test_isclose_atol_rtol_greater_than_zero_cpu_float32 (__main__.TestTestingCPU) ... ok (0.008s) 2022-11-23T01:41:20.8812912Z test_isclose_atol_rtol_greater_than_zero_cpu_float64 (__main__.TestTestingCPU) ... ok (0.008s) 2022-11-23T01:41:20.8813066Z test_isclose_atol_rtol_greater_than_zero_cpu_int16 (__main__.TestTestingCPU) ... ok (0.008s) 2022-11-23T01:41:20.8813213Z test_isclose_atol_rtol_greater_than_zero_cpu_int32 (__main__.TestTestingCPU) ... ok (0.008s) 2022-11-23T01:41:20.8813358Z test_isclose_atol_rtol_greater_than_zero_cpu_int64 (__main__.TestTestingCPU) ... ok (0.008s) 2022-11-23T01:41:20.8813537Z test_isclose_atol_rtol_greater_than_zero_cpu_int8 (__main__.TestTestingCPU) ... ok (0.008s) 2022-11-23T01:41:20.8813689Z test_isclose_atol_rtol_greater_than_zero_cpu_uint8 (__main__.TestTestingCPU) ... ok (0.008s) 2022-11-23T01:41:20.8813813Z test_isclose_bool_cpu (__main__.TestTestingCPU) ... ok (0.001s) 2022-11-23T01:41:20.8813942Z test_isclose_complex_cpu_complex128 (__main__.TestTestingCPU) ... ok (0.007s) 2022-11-23T01:41:20.8814080Z test_isclose_complex_cpu_complex64 (__main__.TestTestingCPU) ... ok (0.007s) 2022-11-23T01:41:20.8814218Z test_isclose_equality_shortcut_cpu (__main__.TestTestingCPU) ... ok (0.001s) 2022-11-23T01:41:20.8814355Z test_isclose_float_cpu_float16 (__main__.TestTestingCPU) ... ok (0.003s) 2022-11-23T01:41:20.8814486Z test_isclose_float_cpu_float32 (__main__.TestTestingCPU) ... ok (0.003s) 2022-11-23T01:41:20.8814616Z test_isclose_float_cpu_float64 (__main__.TestTestingCPU) ... ok (0.003s) 2022-11-23T01:41:20.8814752Z test_isclose_integer_cpu_int16 (__main__.TestTestingCPU) ... ok (0.002s) 2022-11-23T01:41:20.8814883Z test_isclose_integer_cpu_int32 (__main__.TestTestingCPU) ... ok (0.002s) 2022-11-23T01:41:20.8815013Z test_isclose_integer_cpu_int64 (__main__.TestTestingCPU) ... ok (0.002s) 2022-11-23T01:41:20.8815136Z test_isclose_integer_cpu_int8 (__main__.TestTestingCPU) ... ok (0.002s) 2022-11-23T01:41:20.8815264Z test_isclose_integer_cpu_uint8 (__main__.TestTestingCPU) ... ok (0.002s) 2022-11-23T01:41:20.8815421Z test_isclose_nan_equality_shortcut_cpu_complex128 (__main__.TestTestingCPU) ... ok (0.001s) 2022-11-23T01:41:20.8815575Z test_isclose_nan_equality_shortcut_cpu_complex64 (__main__.TestTestingCPU) ... ok (0.001s) 2022-11-23T01:41:20.8815725Z test_isclose_nan_equality_shortcut_cpu_float16 (__main__.TestTestingCPU) ... ok (0.001s) 2022-11-23T01:41:20.8815875Z test_isclose_nan_equality_shortcut_cpu_float32 (__main__.TestTestingCPU) ... ok (0.001s) 2022-11-23T01:41:20.8816026Z test_isclose_nan_equality_shortcut_cpu_float64 (__main__.TestTestingCPU) ... ok (0.001s) 2022-11-23T01:41:20.8816631Z test_make_tensor_complex32_cpu (__main__.TestTestingCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_creation.py:151: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/EmptyTensor.cpp:32.) 2022-11-23T01:41:20.8816754Z result = torch.empty(shape, device=device, dtype=dtype) 2022-11-23T01:41:20.8816810Z ok (0.001s) 2022-11-23T01:41:20.8816938Z test_make_tensor_cpu_bool (__main__.TestTestingCPU) ... ok (0.005s) 2022-11-23T01:41:20.8817071Z test_make_tensor_cpu_complex64 (__main__.TestTestingCPU) ... ok (0.005s) 2022-11-23T01:41:20.8817201Z test_make_tensor_cpu_float32 (__main__.TestTestingCPU) ... ok (0.005s) 2022-11-23T01:41:20.8817331Z test_make_tensor_cpu_int64 (__main__.TestTestingCPU) ... ok (0.005s) 2022-11-23T01:41:20.8817341Z 2022-11-23T01:41:20.8817544Z ---------------------------------------------------------------------- 2022-11-23T01:41:20.8817624Z Ran 1203 tests in 20.914s 2022-11-23T01:41:20.8817631Z 2022-11-23T01:41:20.8817727Z OK (skipped=35, expected failures=13) 2022-11-23T01:41:20.8817733Z 2022-11-23T01:41:20.8817805Z Generating XML reports... 2022-11-23T01:41:20.8818124Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestAssertClose-20221123014059.xml 2022-11-23T01:41:20.8818440Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestAssertCloseContainer-20221123014059.xml 2022-11-23T01:41:20.8818871Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestAssertCloseErrorMessage-20221123014059.xml 2022-11-23T01:41:20.8819187Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestAssertCloseQuantized-20221123014059.xml 2022-11-23T01:41:20.8819488Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestAssertCloseSparseBSC-20221123014059.xml 2022-11-23T01:41:20.8819839Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestAssertCloseSparseBSR-20221123014059.xml 2022-11-23T01:41:20.8820146Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestAssertCloseSparseCOO-20221123014059.xml 2022-11-23T01:41:20.8820447Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestAssertCloseSparseCSC-20221123014059.xml 2022-11-23T01:41:20.8820727Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestAssertCloseSparseCSR-20221123014059.xml 2022-11-23T01:41:20.8821009Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestFrameworkUtils-20221123014059.xml 2022-11-23T01:41:20.8821276Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestImports-20221123014059.xml 2022-11-23T01:41:20.8821593Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestOpInfoSampleFunctionsCPU-20221123014059.xml 2022-11-23T01:41:20.8821857Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestOpInfos-20221123014059.xml 2022-11-23T01:41:20.8822160Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestTestParametrization-20221123014059.xml 2022-11-23T01:41:20.8822511Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestTestParametrizationDeviceTypeCPU-20221123014059.xml 2022-11-23T01:41:20.8822785Z Generated XML report: test-reports/python-unittest/test_testing/TEST-TestTestingCPU-20221123014059.xml 2022-11-23T01:41:20.8822790Z 2022-11-23T01:41:20.8823154Z ##[endgroup] 2022-11-23T01:41:20.8823425Z FINISHED PRINTING LOG FILE of test_testing (/var/lib/jenkins/workspace/test/test-reports/test_testing__oilwm3j) 2022-11-23T01:41:20.8823431Z 2022-11-23T01:41:22.7558153Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:41:22.8948187Z Ignoring disabled issues: [] 2022-11-23T01:41:22.9114293Z Running test_transformers ... [2022-11-23 01:41:22.911181] 2022-11-23T01:41:22.9116689Z Executing ['/opt/conda/bin/python', '-bb', 'test_transformers.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:41:22.911448] 2022-11-23T01:41:33.0293974Z 2022-11-23T01:41:33.0294530Z Expand the folded group to see the log file of test_transformers 2022-11-23T01:41:33.0295715Z ##[group]PRINTING LOG FILE of test_transformers (/var/lib/jenkins/workspace/test/test-reports/test_transformers_o6nzawz7) 2022-11-23T01:41:33.0296325Z Test results will be stored in test-reports/python-unittest/test_transformers 2022-11-23T01:41:33.0296497Z 2022-11-23T01:41:33.0296571Z Running tests... 2022-11-23T01:41:33.0296879Z ---------------------------------------------------------------------- 2022-11-23T01:41:33.0297174Z test_bias_is_none (__main__.TestTransformers) ... ok (0.003s) 2022-11-23T01:41:33.0297468Z test_decoder_only_layer (__main__.TestTransformers) ... skip: Fairseq not found (0.008s) 2022-11-23T01:41:33.0297787Z test_fused_sdp_choice_type_dense (__main__.TestTransformers) ... ok (0.003s) 2022-11-23T01:41:33.0298100Z test_fused_sdp_choice_type_nested (__main__.TestTransformers) ... ok (0.003s) 2022-11-23T01:41:33.0298390Z test_mask_check_fastpath (__main__.TestTransformers) 2022-11-23T01:41:33.0299231Z Test that fastpath is executed independently of the masks that are passed. ... test_transformers.py:916: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:179.) 2022-11-23T01:41:33.0299800Z nested_tensor_return_value = torch.nested.nested_tensor([torch.ones((2, 2), dtype=torch.float)]) 2022-11-23T01:41:33.0300057Z ok (0.012s) 2022-11-23T01:41:33.0300351Z test_scaled_dot_product_attention_3D_input_dim_2D_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.003s) 2022-11-23T01:41:33.0300742Z test_scaled_dot_product_attention_3D_input_dim_2D_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.003s) 2022-11-23T01:41:33.0301201Z test_scaled_dot_product_attention_3D_input_dim_2D_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.003s) 2022-11-23T01:41:33.0301606Z test_scaled_dot_product_attention_3D_input_dim_2D_causal_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.010s) 2022-11-23T01:41:33.0302017Z test_scaled_dot_product_attention_3D_input_dim_2D_causal_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.010s) 2022-11-23T01:41:33.0302412Z test_scaled_dot_product_attention_3D_input_dim_2D_causal_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.010s) 2022-11-23T01:41:33.0302808Z test_scaled_dot_product_attention_3D_input_dim_3D_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.003s) 2022-11-23T01:41:33.0303204Z test_scaled_dot_product_attention_3D_input_dim_3D_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.003s) 2022-11-23T01:41:33.0303600Z test_scaled_dot_product_attention_3D_input_dim_3D_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.003s) 2022-11-23T01:41:33.0303993Z test_scaled_dot_product_attention_3D_input_dim_3D_causal_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.010s) 2022-11-23T01:41:33.0304404Z test_scaled_dot_product_attention_3D_input_dim_3D_causal_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.010s) 2022-11-23T01:41:33.0304802Z test_scaled_dot_product_attention_3D_input_dim_3D_causal_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.010s) 2022-11-23T01:41:33.0305200Z test_scaled_dot_product_attention_3D_input_dim_no_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.029s) 2022-11-23T01:41:33.0305582Z test_scaled_dot_product_attention_3D_input_dim_no_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.024s) 2022-11-23T01:41:33.0305971Z test_scaled_dot_product_attention_3D_input_dim_no_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.024s) 2022-11-23T01:41:33.0306367Z test_scaled_dot_product_attention_4D_input_dim_2D_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.003s) 2022-11-23T01:41:33.0306764Z test_scaled_dot_product_attention_4D_input_dim_2D_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.003s) 2022-11-23T01:41:33.0307142Z test_scaled_dot_product_attention_4D_input_dim_2D_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.003s) 2022-11-23T01:41:33.0307538Z test_scaled_dot_product_attention_4D_input_dim_2D_causal_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.010s) 2022-11-23T01:41:33.0307944Z test_scaled_dot_product_attention_4D_input_dim_2D_causal_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.010s) 2022-11-23T01:41:33.0308414Z test_scaled_dot_product_attention_4D_input_dim_2D_causal_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.011s) 2022-11-23T01:41:33.0308807Z test_scaled_dot_product_attention_4D_input_dim_4D_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.003s) 2022-11-23T01:41:33.0309202Z test_scaled_dot_product_attention_4D_input_dim_4D_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.003s) 2022-11-23T01:41:33.0309631Z test_scaled_dot_product_attention_4D_input_dim_4D_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.003s) 2022-11-23T01:41:33.0310032Z test_scaled_dot_product_attention_4D_input_dim_4D_causal_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.010s) 2022-11-23T01:41:33.0310427Z test_scaled_dot_product_attention_4D_input_dim_4D_causal_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.010s) 2022-11-23T01:41:33.0310824Z test_scaled_dot_product_attention_4D_input_dim_4D_causal_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.010s) 2022-11-23T01:41:33.0311252Z test_scaled_dot_product_attention_4D_input_dim_no_attn_mask_dropout_p_0_0_device_cpu (__main__.TestTransformers) ... ok (0.023s) 2022-11-23T01:41:33.0311646Z test_scaled_dot_product_attention_4D_input_dim_no_attn_mask_dropout_p_0_2_device_cpu (__main__.TestTransformers) ... ok (0.024s) 2022-11-23T01:41:33.0312033Z test_scaled_dot_product_attention_4D_input_dim_no_attn_mask_dropout_p_0_5_device_cpu (__main__.TestTransformers) ... ok (0.023s) 2022-11-23T01:41:33.0312493Z test_scaled_dot_product_attention_fused_kernels_packed_accuracy_type_dense_fused_kernel_flash (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.003s) 2022-11-23T01:41:33.0313022Z test_scaled_dot_product_attention_fused_kernels_packed_accuracy_type_dense_fused_kernel_mem_efficient (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.003s) 2022-11-23T01:41:33.0313546Z test_scaled_dot_product_attention_fused_kernels_packed_accuracy_type_nested_fused_kernel_flash (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.003s) 2022-11-23T01:41:33.0314073Z test_scaled_dot_product_attention_fused_kernels_packed_accuracy_type_nested_fused_kernel_mem_efficient (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.003s) 2022-11-23T01:41:33.0314578Z test_scaled_dot_product_attention_fused_kernels_packed_type_dense_is_contiguous_False (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.002s) 2022-11-23T01:41:33.0315078Z test_scaled_dot_product_attention_fused_kernels_packed_type_dense_is_contiguous_True (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.002s) 2022-11-23T01:41:33.0315577Z test_scaled_dot_product_attention_fused_kernels_packed_type_nested_is_contiguous_False (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.001s) 2022-11-23T01:41:33.0316075Z test_scaled_dot_product_attention_fused_kernels_packed_type_nested_is_contiguous_True (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.002s) 2022-11-23T01:41:33.0316567Z test_scaled_dot_product_attention_fused_kernels_type_dense_is_contiguous_False (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.001s) 2022-11-23T01:41:33.0317037Z test_scaled_dot_product_attention_fused_kernels_type_dense_is_contiguous_True (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.001s) 2022-11-23T01:41:33.0317524Z test_scaled_dot_product_attention_fused_kernels_type_nested_is_contiguous_False (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.001s) 2022-11-23T01:41:33.0318003Z test_scaled_dot_product_attention_fused_kernels_type_nested_is_contiguous_True (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.001s) 2022-11-23T01:41:33.0318463Z test_sdp_fused_grad_against_math_contiguous_inputs_False (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.002s) 2022-11-23T01:41:33.0318894Z test_sdp_fused_grad_against_math_contiguous_inputs_True (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.002s) 2022-11-23T01:41:33.0319386Z test_sdp_math_gradcheck_contiguous_inputs_False (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.001s) 2022-11-23T01:41:33.0319812Z test_sdp_math_gradcheck_contiguous_inputs_True (__main__.TestTransformers) ... skip: Flash Attention was not built for this system (0.001s) 2022-11-23T01:41:33.0320194Z test_sdp_runtime_dispatch (__main__.TestTransformers) ... skip: CUDA unavailable (0.002s) 2022-11-23T01:41:33.0320707Z test_self_attn_TxT_attn_mask (__main__.TestTransformers) ... skip: 4D mask not supported yet - activate when 4D mask supported (0.001s) 2022-11-23T01:41:33.0321144Z test_train_with_pad_and_catch_error_device_cpu (__main__.TestTransformers) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s) 2022-11-23T01:41:33.0321622Z test_transformerencoder_batch_first_False_training_False_enable_nested_tensor_False_device_cpu (__main__.TestTransformers) ... ok (0.036s) 2022-11-23T01:41:33.0322063Z test_transformerencoder_batch_first_False_training_False_enable_nested_tensor_True_device_cpu (__main__.TestTransformers) ... ok (0.037s) 2022-11-23T01:41:33.0322481Z test_transformerencoder_batch_first_False_training_True_enable_nested_tensor_False_device_cpu (__main__.TestTransformers) ... ok (0.037s) 2022-11-23T01:41:33.0322910Z test_transformerencoder_batch_first_False_training_True_enable_nested_tensor_True_device_cpu (__main__.TestTransformers) ... ok (0.037s) 2022-11-23T01:41:33.0323339Z test_transformerencoder_batch_first_True_training_False_enable_nested_tensor_False_device_cpu (__main__.TestTransformers) ... ok (0.034s) 2022-11-23T01:41:33.0323770Z test_transformerencoder_batch_first_True_training_False_enable_nested_tensor_True_device_cpu (__main__.TestTransformers) ... ok (0.034s) 2022-11-23T01:41:33.0324196Z test_transformerencoder_batch_first_True_training_True_enable_nested_tensor_False_device_cpu (__main__.TestTransformers) ... ok (0.038s) 2022-11-23T01:41:33.0324605Z test_transformerencoder_batch_first_True_training_True_enable_nested_tensor_True_device_cpu (__main__.TestTransformers) ... ok (0.038s) 2022-11-23T01:41:33.0325056Z test_transformerencoder_fastpath_device_cpu_use_torchscript_False_enable_nested_tensor_False_use_autocast_False_d_model_12 (__main__.TestTransformers) 2022-11-23T01:41:33.0325672Z Test TransformerEncoder fastpath output matches slowpath output ... test_transformers.py:217: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T01:41:33.0326139Z ) for pair in input_mask_pairs 2022-11-23T01:41:33.0326311Z ok (0.637s) 2022-11-23T01:41:33.0326639Z test_transformerencoder_fastpath_device_cpu_use_torchscript_False_enable_nested_tensor_False_use_autocast_False_d_model_256 (__main__.TestTransformers) 2022-11-23T01:41:33.0327035Z Test TransformerEncoder fastpath output matches slowpath output ... ok (1.142s) 2022-11-23T01:41:33.0327427Z test_transformerencoder_fastpath_device_cpu_use_torchscript_False_enable_nested_tensor_False_use_autocast_True_d_model_12 (__main__.TestTransformers) 2022-11-23T01:41:33.0328123Z Test TransformerEncoder fastpath output matches slowpath output ... /opt/conda/lib/python3.7/site-packages/torch/amp/autocast_mode.py:204: UserWarning: User provided device_type of 'cuda', but CUDA is not available. Disabling 2022-11-23T01:41:33.0328674Z warnings.warn('User provided device_type of \'cuda\', but CUDA is not available. Disabling') 2022-11-23T01:41:33.0328931Z ok (0.612s) 2022-11-23T01:41:33.0329243Z test_transformerencoder_fastpath_device_cpu_use_torchscript_False_enable_nested_tensor_False_use_autocast_True_d_model_256 (__main__.TestTransformers) 2022-11-23T01:41:33.0329641Z Test TransformerEncoder fastpath output matches slowpath output ... ok (1.114s) 2022-11-23T01:41:33.0330042Z test_transformerencoder_fastpath_device_cpu_use_torchscript_False_enable_nested_tensor_True_use_autocast_False_d_model_12 (__main__.TestTransformers) 2022-11-23T01:41:33.0330460Z Test TransformerEncoder fastpath output matches slowpath output ... ok (0.428s) 2022-11-23T01:41:33.0330846Z test_transformerencoder_fastpath_device_cpu_use_torchscript_False_enable_nested_tensor_True_use_autocast_False_d_model_256 (__main__.TestTransformers) 2022-11-23T01:41:33.0331234Z Test TransformerEncoder fastpath output matches slowpath output ... ok (0.961s) 2022-11-23T01:41:33.0331633Z test_transformerencoder_fastpath_device_cpu_use_torchscript_False_enable_nested_tensor_True_use_autocast_True_d_model_12 (__main__.TestTransformers) 2022-11-23T01:41:33.0332023Z Test TransformerEncoder fastpath output matches slowpath output ... ok (0.436s) 2022-11-23T01:41:33.0332452Z test_transformerencoder_fastpath_device_cpu_use_torchscript_False_enable_nested_tensor_True_use_autocast_True_d_model_256 (__main__.TestTransformers) 2022-11-23T01:41:33.0332847Z Test TransformerEncoder fastpath output matches slowpath output ... ok (1.088s) 2022-11-23T01:41:33.0333268Z test_transformerencoder_square_input_with_no_grad_False_training_False_enable_nested_tensor_False_device_cpu (__main__.TestTransformers) 2022-11-23T01:41:33.0333678Z Test for edge cases when input of shape (batch size, sequence length, embedding dimension) has ... ok (0.007s) 2022-11-23T01:41:33.0334074Z test_transformerencoder_square_input_with_no_grad_False_training_True_enable_nested_tensor_False_device_cpu (__main__.TestTransformers) 2022-11-23T01:41:33.0334487Z Test for edge cases when input of shape (batch size, sequence length, embedding dimension) has ... ok (0.007s) 2022-11-23T01:41:33.0334897Z test_transformerencoder_square_input_with_no_grad_True_training_False_enable_nested_tensor_False_device_cpu (__main__.TestTransformers) 2022-11-23T01:41:33.0335303Z Test for edge cases when input of shape (batch size, sequence length, embedding dimension) has ... ok (0.006s) 2022-11-23T01:41:33.0335699Z test_transformerencoder_square_input_with_no_grad_True_training_True_enable_nested_tensor_False_device_cpu (__main__.TestTransformers) 2022-11-23T01:41:33.0336104Z Test for edge cases when input of shape (batch size, sequence length, embedding dimension) has ... ok (0.006s) 2022-11-23T01:41:33.0336481Z test_transformerencoderlayer_src_mask_device_cpu_nhead_1 (__main__.TestTransformers) ... ok (0.003s) 2022-11-23T01:41:33.0336860Z test_transformerencoderlayer_src_mask_device_cpu_nhead_4 (__main__.TestTransformers) ... ok (0.003s) 2022-11-23T01:41:33.0337216Z test_transformerencoderlayer_src_mask_device_cpu_nhead_8 (__main__.TestTransformers) ... ok (0.003s) 2022-11-23T01:41:33.0337416Z 2022-11-23T01:41:33.0337620Z ---------------------------------------------------------------------- 2022-11-23T01:41:33.0337866Z Ran 77 tests in 7.113s 2022-11-23T01:41:33.0337981Z 2022-11-23T01:41:33.0338058Z OK (skipped=20) 2022-11-23T01:41:33.0338155Z 2022-11-23T01:41:33.0338241Z Generating XML reports... 2022-11-23T01:41:33.0338662Z Generated XML report: test-reports/python-unittest/test_transformers/TEST-TestTransformers-20221123014125.xml 2022-11-23T01:41:33.0339045Z 2022-11-23T01:41:33.0339334Z ##[endgroup] 2022-11-23T01:41:33.0339718Z FINISHED PRINTING LOG FILE of test_transformers (/var/lib/jenkins/workspace/test/test-reports/test_transformers_o6nzawz7) 2022-11-23T01:41:33.0339943Z 2022-11-23T01:41:34.9008301Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:41:35.0406922Z Ignoring disabled issues: [] 2022-11-23T01:41:35.0573998Z Running test_xnnpack_integration ... [2022-11-23 01:41:35.057083] 2022-11-23T01:41:35.0575662Z Executing ['/opt/conda/bin/python', '-bb', 'test_xnnpack_integration.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:41:35.057341] 2022-11-23T01:41:36.7233569Z 2022-11-23T01:41:36.7234061Z Expand the folded group to see the log file of test_sparse 2022-11-23T01:41:36.7234868Z ##[group]PRINTING LOG FILE of test_sparse (/var/lib/jenkins/workspace/test/test-reports/test_sparse_5hxr0dz1) 2022-11-23T01:41:36.7238478Z Test results will be stored in test-reports/python-unittest/test_sparse 2022-11-23T01:41:36.7239280Z 2022-11-23T01:41:36.7239653Z Running tests... 2022-11-23T01:41:36.7242546Z ---------------------------------------------------------------------- 2022-11-23T01:41:36.7244653Z test_Sparse_to_Sparse_copy__cpu_bfloat16 (__main__.TestSparseCPU) ... test_sparse.py:747: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.) 2022-11-23T01:41:36.7247929Z self.assertEqual(None, x1.grad) 2022-11-23T01:41:36.7248413Z ok (0.046s) 2022-11-23T01:41:36.7249550Z test_Sparse_to_Sparse_copy__cpu_complex128 (__main__.TestSparseCPU) ... test_sparse.py:719: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Copy.cpp:275.) 2022-11-23T01:41:36.7262131Z x1 = x1.to(torch.float32) 2022-11-23T01:41:36.7262567Z ok (0.026s) 2022-11-23T01:41:36.7263025Z test_Sparse_to_Sparse_copy__cpu_float64 (__main__.TestSparseCPU) ... ok (0.026s) 2022-11-23T01:41:36.7263917Z test_Sparse_to_Sparse_copy_multi_gpu_cpu_complex128 (__main__.TestSparseCPU) ... skip: no multi-GPU (0.001s) 2022-11-23T01:41:36.7264799Z test_Sparse_to_Sparse_copy_multi_gpu_cpu_float64 (__main__.TestSparseCPU) ... skip: no multi-GPU (0.001s) 2022-11-23T01:41:36.7265466Z test_add_dense_sparse_mismatch_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.011s) 2022-11-23T01:41:36.7266096Z test_add_dense_sparse_mismatch_cpu_float64 (__main__.TestSparseCPU) ... ok (0.011s) 2022-11-23T01:41:36.7266711Z test_add_noncontiguous_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.002s) 2022-11-23T01:41:36.7267302Z test_add_noncontiguous_cpu_float64 (__main__.TestSparseCPU) ... ok (0.002s) 2022-11-23T01:41:36.7267853Z test_add_sub_nnz_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.001s) 2022-11-23T01:41:36.7268475Z test_add_sub_nnz_cpu_float64 (__main__.TestSparseCPU) ... ok (0.001s) 2022-11-23T01:41:36.7269023Z test_add_zeros_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.009s) 2022-11-23T01:41:36.7269560Z test_add_zeros_cpu_float64 (__main__.TestSparseCPU) ... ok (0.008s) 2022-11-23T01:41:36.7453280Z test_any_cpu (__main__.TestSparseCPU) ... ok (0.002s) 2022-11-23T01:41:36.7453816Z test_asin_arcsin_cpu_float32 (__main__.TestSparseCPU) ... ok (0.022s) 2022-11-23T01:41:36.7454352Z test_asin_arcsin_cpu_float64 (__main__.TestSparseCPU) ... ok (0.021s) 2022-11-23T01:41:36.7454883Z test_asin_arcsin_cpu_int16 (__main__.TestSparseCPU) ... ok (0.098s) 2022-11-23T01:41:36.7455411Z test_asin_arcsin_cpu_int32 (__main__.TestSparseCPU) ... ok (0.098s) 2022-11-23T01:41:36.7455931Z test_asin_arcsin_cpu_int64 (__main__.TestSparseCPU) ... ok (0.098s) 2022-11-23T01:41:36.7456454Z test_asin_arcsin_cpu_int8 (__main__.TestSparseCPU) ... ok (0.098s) 2022-11-23T01:41:36.7456976Z test_asin_arcsin_cpu_uint8 (__main__.TestSparseCPU) ... ok (0.102s) 2022-11-23T01:41:36.7457474Z test_assign_cpu_float64 (__main__.TestSparseCPU) ... ok (0.002s) 2022-11-23T01:41:36.7458005Z test_basic_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.052s) 2022-11-23T01:41:36.7458525Z test_basic_cpu_float64 (__main__.TestSparseCPU) ... ok (0.052s) 2022-11-23T01:41:36.7459142Z test_basic_ops_cpu_float64 (__main__.TestSparseCPU) ... ok (0.253s) 2022-11-23T01:41:36.7459538Z test_bmm_cpu_float64 (__main__.TestSparseCPU) ... ok (2.103s) 2022-11-23T01:41:36.7460085Z test_bmm_cuda_version_error_cpu_float64 (__main__.TestSparseCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:41:36.7461203Z test_bmm_deterministic_cpu_float64 (__main__.TestSparseCPU) ... skip: bmm sparse-dense requires CUDA 10.1 or greater (0.002s) 2022-11-23T01:41:36.7462280Z test_bmm_windows_error_cpu_float64 (__main__.TestSparseCPU) ... skip: this test ensures bmm sparse-dense CUDA gives an error when run on Windows with CUDA < 11.0 (0.001s) 2022-11-23T01:41:36.7462974Z test_cat_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.049s) 2022-11-23T01:41:36.7463490Z test_cat_cpu_float64 (__main__.TestSparseCPU) ... ok (0.047s) 2022-11-23T01:41:36.7464044Z test_change_tensor_metadata_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.005s) 2022-11-23T01:41:36.7464627Z test_change_tensor_metadata_cpu_float64 (__main__.TestSparseCPU) ... ok (0.005s) 2022-11-23T01:41:36.7465306Z test_clone_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.004s) 2022-11-23T01:41:36.7465820Z test_clone_cpu_float64 (__main__.TestSparseCPU) ... ok (0.004s) 2022-11-23T01:41:36.7466342Z test_coalesce_cpu_bfloat16 (__main__.TestSparseCPU) ... ok (0.014s) 2022-11-23T01:41:36.7466860Z test_coalesce_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.014s) 2022-11-23T01:41:36.7467404Z test_coalesce_cpu_float64 (__main__.TestSparseCPU) ... ok (0.013s) 2022-11-23T01:41:36.7467972Z test_coalesce_reference_cycle_cpu_float64 (__main__.TestSparseCPU) ... ok (0.002s) 2022-11-23T01:41:36.7468639Z test_coalesce_transpose_mm_cpu_float64 (__main__.TestSparseCPU) ... ok (0.056s) 2022-11-23T01:41:36.7469222Z test_constructor_device_legacy_cpu (__main__.TestSparseCPU) ... ok (0.012s) 2022-11-23T01:41:36.7469773Z test_contig_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.006s) 2022-11-23T01:41:36.7470286Z test_contig_cpu_float64 (__main__.TestSparseCPU) ... ok (0.006s) 2022-11-23T01:41:36.7470837Z test_contig_hybrid_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.007s) 2022-11-23T01:41:36.7471393Z test_contig_hybrid_cpu_float64 (__main__.TestSparseCPU) ... ok (0.006s) 2022-11-23T01:41:36.7471941Z test_ctor_large_sizes_cpu_float64 (__main__.TestSparseCPU) ... ok (0.008s) 2022-11-23T01:41:36.7472502Z test_ctor_size_checks_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.007s) 2022-11-23T01:41:36.7473066Z test_ctor_size_checks_cpu_float64 (__main__.TestSparseCPU) ... ok (0.007s) 2022-11-23T01:41:36.7473646Z test_cuda_empty_cpu (__main__.TestSparseCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:41:36.7474200Z test_div_by_sparse_error_cpu (__main__.TestSparseCPU) ... ok (0.005s) 2022-11-23T01:41:36.7474746Z test_div_rounding_mode_cpu_float32 (__main__.TestSparseCPU) ... ok (0.007s) 2022-11-23T01:41:36.7475307Z test_div_rounding_mode_cpu_float64 (__main__.TestSparseCPU) ... ok (0.007s) 2022-11-23T01:41:36.7475841Z test_dsmm_cpu_float64 (__main__.TestSparseCPU) ... ok (0.056s) 2022-11-23T01:41:36.7476333Z test_dtypes_cpu (__main__.TestSparseCPU) ... ok (0.002s) 2022-11-23T01:41:36.7476831Z test_empty_full_cpu (__main__.TestSparseCPU) ... ok (0.014s) 2022-11-23T01:41:36.7477357Z test_empty_like_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.093s) 2022-11-23T01:41:36.7477891Z test_empty_like_cpu_float64 (__main__.TestSparseCPU) ... ok (0.061s) 2022-11-23T01:41:36.7478420Z test_factory_copy_cpu (__main__.TestSparseCPU) ... ok (0.006s) 2022-11-23T01:41:36.7478954Z test_factory_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.010s) 2022-11-23T01:41:36.7479487Z test_factory_cpu_complex64 (__main__.TestSparseCPU) ... ok (0.010s) 2022-11-23T01:41:36.7480000Z test_factory_cpu_float16 (__main__.TestSparseCPU) ... ok (0.009s) 2022-11-23T01:41:36.7480522Z test_factory_cpu_float32 (__main__.TestSparseCPU) ... ok (0.009s) 2022-11-23T01:41:36.7481046Z test_factory_cpu_float64 (__main__.TestSparseCPU) ... ok (0.009s) 2022-11-23T01:41:36.7481554Z test_factory_default_cpu (__main__.TestSparseCPU) ... ok (0.001s) 2022-11-23T01:41:36.7482124Z test_factory_dense_dim_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.015s) 2022-11-23T01:41:36.7482696Z test_factory_dense_dim_cpu_float64 (__main__.TestSparseCPU) ... ok (0.015s) 2022-11-23T01:41:36.7483412Z test_factory_device_type_inference_cpu (__main__.TestSparseCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T01:41:36.7484040Z test_factory_empty_indices_cpu (__main__.TestSparseCPU) ... ok (0.002s) 2022-11-23T01:41:36.7484596Z test_factory_nnz_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.015s) 2022-11-23T01:41:36.7485153Z test_factory_nnz_cpu_float64 (__main__.TestSparseCPU) ... ok (0.015s) 2022-11-23T01:41:36.7485696Z test_factory_nnz_zero_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.004s) 2022-11-23T01:41:36.7486263Z test_factory_nnz_zero_cpu_float64 (__main__.TestSparseCPU) ... ok (0.004s) 2022-11-23T01:41:36.7486847Z test_factory_size_check_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.028s) 2022-11-23T01:41:36.7487469Z test_factory_size_check_cpu_float64 (__main__.TestSparseCPU) ... ok (0.028s) 2022-11-23T01:41:36.7488051Z test_factory_type_inference_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.003s) 2022-11-23T01:41:36.7488649Z test_factory_type_inference_cpu_complex64 (__main__.TestSparseCPU) ... ok (0.003s) 2022-11-23T01:41:36.7489252Z test_factory_type_inference_cpu_float16 (__main__.TestSparseCPU) ... ok (0.002s) 2022-11-23T01:41:36.7489827Z test_factory_type_inference_cpu_float32 (__main__.TestSparseCPU) ... ok (0.002s) 2022-11-23T01:41:36.7490425Z test_factory_type_inference_cpu_float64 (__main__.TestSparseCPU) ... ok (0.002s) 2022-11-23T01:41:36.7491015Z test_factory_type_inference_cpu_int64 (__main__.TestSparseCPU) ... ok (0.002s) 2022-11-23T01:41:36.7491597Z test_floor_divide_by_sparse_error_cpu (__main__.TestSparseCPU) ... ok (0.005s) 2022-11-23T01:41:36.7492199Z test_full_broadcast_to_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.047s) 2022-11-23T01:41:36.7492802Z test_full_broadcast_to_cpu_float64 (__main__.TestSparseCPU) ... ok (0.045s) 2022-11-23T01:41:36.7493362Z test_hsmm_cpu_float64 (__main__.TestSparseCPU) ... ok (0.048s) 2022-11-23T01:41:36.7493908Z test_index_select_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.234s) 2022-11-23T01:41:36.7494484Z test_index_select_cpu_float64 (__main__.TestSparseCPU) ... ok (0.160s) 2022-11-23T01:41:36.7495111Z test_index_select_empty_and_non_contiguous_index_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.028s) 2022-11-23T01:41:36.7495575Z test_index_select_empty_and_non_contiguous_index_cpu_float64 (__main__.TestSparseCPU) ... ok (0.020s) 2022-11-23T01:41:36.7496055Z test_index_select_exhaustive_index_large_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.512s) 2022-11-23T01:41:36.7496569Z test_index_select_exhaustive_index_large_cpu_float64 (__main__.TestSparseCPU) ... ok (0.341s) 2022-11-23T01:41:36.7497031Z test_index_select_exhaustive_index_small_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.328s) 2022-11-23T01:41:36.7497500Z test_index_select_exhaustive_index_small_cpu_float64 (__main__.TestSparseCPU) ... ok (0.276s) 2022-11-23T01:41:36.7497993Z test_index_select_parallelization_cpu_complex128 (__main__.TestSparseCPU) 2022-11-23T01:41:36.7498474Z Test with sizes that will trigger parallelization (i.e. with sizes ... ok (0.144s) 2022-11-23T01:41:36.7499078Z test_index_select_parallelization_cpu_float64 (__main__.TestSparseCPU) 2022-11-23T01:41:36.7499546Z Test with sizes that will trigger parallelization (i.e. with sizes ... ok (0.131s) 2022-11-23T01:41:36.7499971Z test_is_nonzero_cpu (__main__.TestSparseCPU) ... ok (0.005s) 2022-11-23T01:41:36.7500368Z test_is_sparse_cpu (__main__.TestSparseCPU) ... ok (0.001s) 2022-11-23T01:41:36.7500739Z test_isnan_cpu (__main__.TestSparseCPU) ... ok (0.002s) 2022-11-23T01:41:36.7504502Z test_legacy_constructor_cpu (__main__.TestSparseCPU) ... /opt/conda/lib/python3.7/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:41:36.7505317Z warnings.warn(message, UserWarning) 2022-11-23T01:41:36.7505598Z ok (0.002s) 2022-11-23T01:41:36.7505891Z test_legacy_new_cpu (__main__.TestSparseCPU) ... ok (0.002s) 2022-11-23T01:41:36.7506410Z test_log1p_cpu_float32 (__main__.TestSparseCPU) ... ok (0.011s) 2022-11-23T01:41:36.7506792Z test_log1p_cpu_float64 (__main__.TestSparseCPU) ... ok (0.010s) 2022-11-23T01:41:36.7507173Z test_log1p_cpu_int16 (__main__.TestSparseCPU) ... ok (0.028s) 2022-11-23T01:41:36.7507542Z test_log1p_cpu_int32 (__main__.TestSparseCPU) ... ok (0.028s) 2022-11-23T01:41:36.7507904Z test_log1p_cpu_int64 (__main__.TestSparseCPU) ... ok (0.028s) 2022-11-23T01:41:36.7508366Z test_log1p_cpu_int8 (__main__.TestSparseCPU) ... ok (0.028s) 2022-11-23T01:41:36.7508708Z test_log1p_cpu_uint8 (__main__.TestSparseCPU) ... ok (0.028s) 2022-11-23T01:41:36.7509185Z test_mm_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.582s) 2022-11-23T01:41:36.7509560Z test_mm_cpu_float64 (__main__.TestSparseCPU) ... ok (0.236s) 2022-11-23T01:41:36.7509900Z test_mv_cpu_float64 (__main__.TestSparseCPU) ... ok (0.037s) 2022-11-23T01:41:36.7510279Z test_narrow_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.076s) 2022-11-23T01:41:36.7510685Z test_narrow_cpu_float64 (__main__.TestSparseCPU) ... ok (0.072s) 2022-11-23T01:41:36.7511079Z test_neg_negative_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.011s) 2022-11-23T01:41:36.7511477Z test_neg_negative_cpu_float64 (__main__.TestSparseCPU) ... ok (0.009s) 2022-11-23T01:41:36.7511858Z test_new_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.005s) 2022-11-23T01:41:36.7512225Z test_new_cpu_float64 (__main__.TestSparseCPU) ... ok (0.005s) 2022-11-23T01:41:36.7512637Z test_new_device_multi_gpu_cpu (__main__.TestSparseCPU) ... skip: only one GPU detected (0.000s) 2022-11-23T01:41:36.7513125Z test_new_device_single_gpu_cpu (__main__.TestSparseCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:41:36.7513557Z test_norm_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.042s) 2022-11-23T01:41:36.7513935Z test_norm_cpu_float64 (__main__.TestSparseCPU) ... ok (0.041s) 2022-11-23T01:41:36.7514316Z test_permute_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.431s) 2022-11-23T01:41:36.7514722Z test_permute_cpu_float64 (__main__.TestSparseCPU) ... ok (0.368s) 2022-11-23T01:41:36.7515093Z test_pickle_cpu_float64 (__main__.TestSparseCPU) ... ok (0.012s) 2022-11-23T01:41:36.7515480Z test_print_coalesced_cpu_float64 (__main__.TestSparseCPU) ... ok (0.009s) 2022-11-23T01:41:36.7515901Z test_print_uncoalesced_cpu_float64 (__main__.TestSparseCPU) ... ok (0.009s) 2022-11-23T01:41:36.7516298Z test_resize_as_cpu (__main__.TestSparseCPU) ... ok (0.002s) 2022-11-23T01:41:36.7516684Z test_resize_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.033s) 2022-11-23T01:41:36.7517070Z test_resize_cpu_float64 (__main__.TestSparseCPU) ... ok (0.032s) 2022-11-23T01:41:36.7517472Z test_saddmm_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.225s) 2022-11-23T01:41:36.7517866Z test_saddmm_cpu_float64 (__main__.TestSparseCPU) ... ok (0.129s) 2022-11-23T01:41:36.7518259Z test_same_gpu_cpu (__main__.TestSparseCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T01:41:36.7518681Z test_scalar_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.004s) 2022-11-23T01:41:36.7519068Z test_scalar_cpu_float64 (__main__.TestSparseCPU) ... ok (0.004s) 2022-11-23T01:41:36.7519445Z test_select_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.289s) 2022-11-23T01:41:36.7519801Z test_select_cpu_float64 (__main__.TestSparseCPU) ... ok (0.237s) 2022-11-23T01:41:36.7520195Z test_select_no_type_promotion_cpu_int16 (__main__.TestSparseCPU) ... ok (0.005s) 2022-11-23T01:41:36.7520642Z test_select_no_type_promotion_cpu_int32 (__main__.TestSparseCPU) ... ok (0.004s) 2022-11-23T01:41:36.7521071Z test_select_no_type_promotion_cpu_int64 (__main__.TestSparseCPU) ... ok (0.002s) 2022-11-23T01:41:36.7521542Z test_select_no_type_promotion_cpu_int8 (__main__.TestSparseCPU) ... ok (0.002s) 2022-11-23T01:41:36.7522009Z test_select_no_type_promotion_cpu_uint8 (__main__.TestSparseCPU) ... ok (0.002s) 2022-11-23T01:41:36.7522440Z test_shared_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.002s) 2022-11-23T01:41:36.7522944Z test_shared_cpu_float64 (__main__.TestSparseCPU) ... ok (0.002s) 2022-11-23T01:41:36.7523362Z test_small_nnz_coalesced_cpu (__main__.TestSparseCPU) ... ok (0.001s) 2022-11-23T01:41:36.7523772Z test_softmax_cpu_float64 (__main__.TestSparseCPU) ... ok (0.649s) 2022-11-23T01:41:36.7524177Z test_softmax_zero_nnz_cpu_float64 (__main__.TestSparseCPU) ... ok (0.001s) 2022-11-23T01:41:36.7524576Z test_spadd_cpu_float64 (__main__.TestSparseCPU) ... ok (0.117s) 2022-11-23T01:41:36.7524980Z test_sparse_add_coalesce_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.002s) 2022-11-23T01:41:36.7525411Z test_sparse_add_coalesce_cpu_complex64 (__main__.TestSparseCPU) ... ok (0.002s) 2022-11-23T01:41:36.7525903Z test_sparse_add_coalesce_cpu_float32 (__main__.TestSparseCPU) ... ok (0.002s) 2022-11-23T01:41:36.7526331Z test_sparse_add_coalesce_cpu_float64 (__main__.TestSparseCPU) ... ok (0.002s) 2022-11-23T01:41:36.7526793Z test_sparse_add_out_bfloat16_cpu_complex128 (__main__.TestSparseCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:41:36.7527285Z test_sparse_add_out_bfloat16_cpu_float64 (__main__.TestSparseCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:41:36.7527838Z test_sparse_addmm_cpu_bfloat16 (__main__.TestSparseCPU) ... skip: See https://github.com/pytorch/pytorch/issues/73145 (0.002s) 2022-11-23T01:41:36.7528438Z test_sparse_addmm_cpu_complex128 (__main__.TestSparseCPU) ... skip: See https://github.com/pytorch/pytorch/issues/73145 (0.002s) 2022-11-23T01:41:36.7529037Z test_sparse_addmm_cpu_float64 (__main__.TestSparseCPU) ... skip: See https://github.com/pytorch/pytorch/issues/73145 (0.002s) 2022-11-23T01:41:36.7529525Z test_sparse_bool_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.001s) 2022-11-23T01:41:36.7529944Z test_sparse_bool_cpu_float64 (__main__.TestSparseCPU) ... ok (0.001s) 2022-11-23T01:41:36.7530366Z test_sparse_broadcast_to_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.011s) 2022-11-23T01:41:36.7530782Z test_sparse_broadcast_to_cpu_float64 (__main__.TestSparseCPU) ... ok (0.011s) 2022-11-23T01:41:36.7531340Z test_sparse_dense_mul_cpu_bfloat16 (__main__.TestSparseCPU) ... skip: Test with dtype=torch.bfloat16, device=cpu runs only with coalesced inputs (0.067s) 2022-11-23T01:41:36.7531869Z test_sparse_dense_mul_cpu_bool (__main__.TestSparseCPU) ... ok (0.010s) 2022-11-23T01:41:36.7532282Z test_sparse_dense_mul_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.154s) 2022-11-23T01:41:36.7532687Z test_sparse_dense_mul_cpu_complex64 (__main__.TestSparseCPU) ... ok (0.156s) 2022-11-23T01:41:36.7533210Z test_sparse_dense_mul_cpu_float16 (__main__.TestSparseCPU) ... skip: Test with dtype=torch.float16, device=cpu runs only with coalesced inputs (0.068s) 2022-11-23T01:41:36.7533687Z test_sparse_dense_mul_cpu_float32 (__main__.TestSparseCPU) ... ok (0.142s) 2022-11-23T01:41:36.7534120Z test_sparse_dense_mul_cpu_float64 (__main__.TestSparseCPU) ... ok (0.173s) 2022-11-23T01:41:36.7534554Z test_sparse_dense_mul_cpu_int16 (__main__.TestSparseCPU) ... ok (0.112s) 2022-11-23T01:41:36.7534981Z test_sparse_dense_mul_cpu_int32 (__main__.TestSparseCPU) ... ok (0.116s) 2022-11-23T01:41:36.7535400Z test_sparse_dense_mul_cpu_int64 (__main__.TestSparseCPU) ... ok (0.109s) 2022-11-23T01:41:36.7535817Z test_sparse_dense_mul_cpu_int8 (__main__.TestSparseCPU) ... ok (0.112s) 2022-11-23T01:41:36.7536243Z test_sparse_dense_mul_cpu_uint8 (__main__.TestSparseCPU) ... ok (0.113s) 2022-11-23T01:41:36.7536665Z test_sparse_mask_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.031s) 2022-11-23T01:41:36.7537075Z test_sparse_mask_cpu_float64 (__main__.TestSparseCPU) ... ok (0.027s) 2022-11-23T01:41:36.7537502Z test_sparse_mask_hybrid_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.044s) 2022-11-23T01:41:36.7537948Z test_sparse_mask_hybrid_cpu_float64 (__main__.TestSparseCPU) ... ok (0.040s) 2022-11-23T01:41:36.7538361Z test_sparse_matmul_cpu_complex128 (__main__.TestSparseCPU) 2022-11-23T01:41:36.7539051Z This function test `torch.sparse.mm` when both the mat1 and mat2 are sparse tensors. ... ok (3.204s) 2022-11-23T01:41:36.7539512Z test_sparse_matmul_cpu_complex64 (__main__.TestSparseCPU) 2022-11-23T01:41:36.7539938Z This function test `torch.sparse.mm` when both the mat1 and mat2 are sparse tensors. ... ok (0.336s) 2022-11-23T01:41:36.7540365Z test_sparse_matmul_cpu_float32 (__main__.TestSparseCPU) 2022-11-23T01:41:36.7540800Z This function test `torch.sparse.mm` when both the mat1 and mat2 are sparse tensors. ... ok (0.310s) 2022-11-23T01:41:36.7541221Z test_sparse_matmul_cpu_float64 (__main__.TestSparseCPU) 2022-11-23T01:41:36.7541636Z This function test `torch.sparse.mm` when both the mat1 and mat2 are sparse tensors. ... ok (1.797s) 2022-11-23T01:41:36.7542166Z test_sparse_mm_cpu_float64 (__main__.TestSparseCPU) ... ok (0.013s) 2022-11-23T01:41:36.7542562Z test_sparse_mul_cpu_float64 (__main__.TestSparseCPU) ... ok (0.008s) 2022-11-23T01:41:36.7543103Z test_sparse_sparse_mul_cpu_bfloat16 (__main__.TestSparseCPU) ... skip: Test with dtype=torch.bfloat16, device=cpu runs only with coalesced inputs (0.022s) 2022-11-23T01:41:36.7543677Z test_sparse_sparse_mul_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.039s) 2022-11-23T01:41:36.7544137Z test_sparse_sparse_mul_cpu_complex64 (__main__.TestSparseCPU) ... ok (0.045s) 2022-11-23T01:41:36.7544592Z test_sparse_sparse_mul_cpu_float32 (__main__.TestSparseCPU) ... ok (0.041s) 2022-11-23T01:41:36.7545043Z test_sparse_sparse_mul_cpu_float64 (__main__.TestSparseCPU) ... ok (0.045s) 2022-11-23T01:41:36.7545463Z test_sparse_sparse_mul_cpu_int16 (__main__.TestSparseCPU) ... ok (0.038s) 2022-11-23T01:41:36.7545890Z test_sparse_sparse_mul_cpu_int32 (__main__.TestSparseCPU) ... ok (0.031s) 2022-11-23T01:41:36.7546291Z test_sparse_sparse_mul_cpu_int64 (__main__.TestSparseCPU) ... ok (0.033s) 2022-11-23T01:41:36.7546685Z test_sparse_sparse_mul_cpu_int8 (__main__.TestSparseCPU) ... ok (0.034s) 2022-11-23T01:41:36.7547122Z test_sparse_sparse_mul_cpu_uint8 (__main__.TestSparseCPU) ... ok (0.034s) 2022-11-23T01:41:36.7548015Z test_sparse_spdiags_cpu_bool (__main__.TestSparseCPU) ... test_sparse.py:3738: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:56.) 2022-11-23T01:41:36.7548923Z out = torch.sparse.spdiags(diags, offsets, shape, layout=layout) 2022-11-23T01:41:36.7549245Z ok (0.047s) 2022-11-23T01:41:36.7549563Z test_sparse_spdiags_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.058s) 2022-11-23T01:41:36.7550004Z test_sparse_spdiags_cpu_complex64 (__main__.TestSparseCPU) ... ok (0.059s) 2022-11-23T01:41:36.7550417Z test_sparse_spdiags_cpu_float32 (__main__.TestSparseCPU) ... ok (0.054s) 2022-11-23T01:41:36.7550816Z test_sparse_spdiags_cpu_float64 (__main__.TestSparseCPU) ... ok (0.053s) 2022-11-23T01:41:36.7551227Z test_sparse_spdiags_cpu_int16 (__main__.TestSparseCPU) ... ok (0.042s) 2022-11-23T01:41:36.7551635Z test_sparse_spdiags_cpu_int32 (__main__.TestSparseCPU) ... ok (0.051s) 2022-11-23T01:41:36.7552026Z test_sparse_spdiags_cpu_int64 (__main__.TestSparseCPU) ... ok (0.045s) 2022-11-23T01:41:36.7552441Z test_sparse_spdiags_cpu_int8 (__main__.TestSparseCPU) ... ok (0.042s) 2022-11-23T01:41:36.7552844Z test_sparse_spdiags_cpu_uint8 (__main__.TestSparseCPU) ... ok (0.051s) 2022-11-23T01:41:36.7553239Z test_sparse_sum_cpu_float64 (__main__.TestSparseCPU) ... ok (0.121s) 2022-11-23T01:41:36.7553609Z test_sparse_to_numpy_cpu (__main__.TestSparseCPU) ... ok (0.002s) 2022-11-23T01:41:36.7554034Z test_sspaddmm_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.203s) 2022-11-23T01:41:36.7554427Z test_sspaddmm_cpu_float64 (__main__.TestSparseCPU) ... ok (0.102s) 2022-11-23T01:41:36.7554827Z test_storage_not_null_cpu (__main__.TestSparseCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:41:36.7555312Z test_sum_cpu_bool (__main__.TestSparseCPU) ... ok (0.007s) 2022-11-23T01:41:36.7555693Z test_sum_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.012s) 2022-11-23T01:41:36.7556084Z test_sum_cpu_complex64 (__main__.TestSparseCPU) ... ok (0.011s) 2022-11-23T01:41:36.7556445Z test_sum_cpu_float32 (__main__.TestSparseCPU) ... ok (0.010s) 2022-11-23T01:41:36.7556910Z test_sum_cpu_float64 (__main__.TestSparseCPU) ... ok (0.010s) 2022-11-23T01:41:36.7557378Z test_sum_cpu_int16 (__main__.TestSparseCPU) ... ok (0.007s) 2022-11-23T01:41:36.7557821Z test_sum_cpu_int32 (__main__.TestSparseCPU) ... ok (0.007s) 2022-11-23T01:41:36.7558259Z test_sum_cpu_int64 (__main__.TestSparseCPU) ... ok (0.007s) 2022-11-23T01:41:36.7558703Z test_sum_cpu_int8 (__main__.TestSparseCPU) ... ok (0.007s) 2022-11-23T01:41:36.7559049Z test_sum_cpu_uint8 (__main__.TestSparseCPU) ... ok (0.007s) 2022-11-23T01:41:36.7559406Z test_t_empty_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.003s) 2022-11-23T01:41:36.7559785Z test_t_empty_cpu_float64 (__main__.TestSparseCPU) ... ok (0.003s) 2022-11-23T01:41:36.7560190Z test_to_dense_cpu_bfloat16 (__main__.TestSparseCPU) ... ok (0.009s) 2022-11-23T01:41:36.7560594Z test_to_dense_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.010s) 2022-11-23T01:41:36.7561045Z test_to_dense_cpu_complex64 (__main__.TestSparseCPU) ... ok (0.010s) 2022-11-23T01:41:36.7561489Z test_to_dense_cpu_float16 (__main__.TestSparseCPU) ... ok (0.009s) 2022-11-23T01:41:36.7561903Z test_to_dense_cpu_float32 (__main__.TestSparseCPU) ... ok (0.009s) 2022-11-23T01:41:36.7562307Z test_to_dense_cpu_float64 (__main__.TestSparseCPU) ... ok (0.010s) 2022-11-23T01:41:36.7562727Z test_to_dense_hybrid_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.011s) 2022-11-23T01:41:36.7563126Z test_to_dense_hybrid_cpu_float64 (__main__.TestSparseCPU) ... ok (0.007s) 2022-11-23T01:41:36.7563543Z test_to_sparse_cpu_bfloat16 (__main__.TestSparseCPU) ... ok (0.131s) 2022-11-23T01:41:36.7563971Z test_to_sparse_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.116s) 2022-11-23T01:41:36.7564378Z test_to_sparse_cpu_complex64 (__main__.TestSparseCPU) ... ok (0.120s) 2022-11-23T01:41:36.7564778Z test_to_sparse_cpu_float16 (__main__.TestSparseCPU) ... ok (0.122s) 2022-11-23T01:41:36.7565177Z test_to_sparse_cpu_float64 (__main__.TestSparseCPU) ... ok (0.117s) 2022-11-23T01:41:36.7565578Z test_to_sparse_cpu_int32 (__main__.TestSparseCPU) ... ok (0.090s) 2022-11-23T01:41:36.7565978Z test_transpose_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.020s) 2022-11-23T01:41:36.7566382Z test_transpose_cpu_float64 (__main__.TestSparseCPU) ... ok (0.017s) 2022-11-23T01:41:36.7566783Z test_unsqueeze_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.065s) 2022-11-23T01:41:36.7567198Z test_unsqueeze_cpu_float64 (__main__.TestSparseCPU) ... ok (0.055s) 2022-11-23T01:41:36.7567594Z test_zeros_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.161s) 2022-11-23T01:41:36.7567971Z test_zeros_cpu_float64 (__main__.TestSparseCPU) ... ok (0.164s) 2022-11-23T01:41:36.7568384Z test_zeros_like_cpu_complex128 (__main__.TestSparseCPU) ... ok (0.205s) 2022-11-23T01:41:36.7568778Z test_zeros_like_cpu_float64 (__main__.TestSparseCPU) ... ok (0.201s) 2022-11-23T01:41:36.7569230Z test_future_empty_dim_masked_amax_cpu_bfloat16 (__main__.TestSparseMaskedReductionsCPU) 2022-11-23T01:41:36.7569697Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.022s) 2022-11-23T01:41:36.7570189Z test_future_empty_dim_masked_amax_cpu_float16 (__main__.TestSparseMaskedReductionsCPU) 2022-11-23T01:41:36.7570646Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.022s) 2022-11-23T01:41:36.7571128Z test_future_empty_dim_masked_amax_cpu_float32 (__main__.TestSparseMaskedReductionsCPU) 2022-11-23T01:41:36.7571607Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.022s) 2022-11-23T01:41:36.7572066Z test_future_empty_dim_masked_amax_cpu_float64 (__main__.TestSparseMaskedReductionsCPU) 2022-11-23T01:41:36.7572618Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.022s) 2022-11-23T01:41:36.7573075Z test_future_empty_dim_masked_amax_cpu_int16 (__main__.TestSparseMaskedReductionsCPU) 2022-11-23T01:41:36.7573550Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.017s) 2022-11-23T01:41:36.7574011Z test_future_empty_dim_masked_amax_cpu_int32 (__main__.TestSparseMaskedReductionsCPU) 2022-11-23T01:41:36.7574469Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.017s) 2022-11-23T01:41:36.7574905Z test_future_empty_dim_masked_amax_cpu_int64 (__main__.TestSparseMaskedReductionsCPU) 2022-11-23T01:41:36.7575445Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.017s) 2022-11-23T01:41:36.7575927Z test_future_empty_dim_masked_amax_cpu_int8 (__main__.TestSparseMaskedReductionsCPU) 2022-11-23T01:41:36.7576382Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.017s) 2022-11-23T01:41:36.7576845Z test_future_empty_dim_masked_amax_cpu_uint8 (__main__.TestSparseMaskedReductionsCPU) 2022-11-23T01:41:36.7577295Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.017s) 2022-11-23T01:41:36.7577767Z test_future_empty_dim_masked_amin_cpu_bfloat16 (__main__.TestSparseMaskedReductionsCPU) 2022-11-23T01:41:36.7578236Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.022s) 2022-11-23T01:41:36.7578687Z test_future_empty_dim_masked_amin_cpu_float16 (__main__.TestSparseMaskedReductionsCPU) 2022-11-23T01:41:36.7579324Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.021s) 2022-11-23T01:41:36.7579808Z test_future_empty_dim_masked_amin_cpu_float32 (__main__.TestSparseMaskedReductionsCPU) 2022-11-23T01:41:36.7580275Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.022s) 2022-11-23T01:41:36.7580738Z test_future_empty_dim_masked_amin_cpu_float64 (__main__.TestSparseMaskedReductionsCPU) 2022-11-23T01:41:36.7581211Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.021s) 2022-11-23T01:41:36.7581681Z test_future_empty_dim_masked_amin_cpu_int16 (__main__.TestSparseMaskedReductionsCPU) 2022-11-23T01:41:36.7582123Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.017s) 2022-11-23T01:41:36.7582572Z test_future_empty_dim_masked_amin_cpu_int32 (__main__.TestSparseMaskedReductionsCPU) 2022-11-23T01:41:36.7583025Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.017s) 2022-11-23T01:41:36.7583466Z test_future_empty_dim_masked_amin_cpu_int64 (__main__.TestSparseMaskedReductionsCPU) 2022-11-23T01:41:36.7583918Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.016s) 2022-11-23T01:41:36.7584383Z test_future_empty_dim_masked_amin_cpu_int8 (__main__.TestSparseMaskedReductionsCPU) 2022-11-23T01:41:36.7584824Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.017s) 2022-11-23T01:41:36.7585269Z test_future_empty_dim_masked_amin_cpu_uint8 (__main__.TestSparseMaskedReductionsCPU) 2022-11-23T01:41:36.7585732Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.016s) 2022-11-23T01:41:36.7586190Z test_future_empty_dim_masked_prod_cpu_bfloat16 (__main__.TestSparseMaskedReductionsCPU) 2022-11-23T01:41:36.7586649Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.022s) 2022-11-23T01:41:36.7587088Z test_future_empty_dim_masked_prod_cpu_bool (__main__.TestSparseMaskedReductionsCPU) 2022-11-23T01:41:36.7587544Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.015s) 2022-11-23T01:41:36.7588018Z test_future_empty_dim_masked_prod_cpu_complex128 (__main__.TestSparseMaskedReductionsCPU) 2022-11-23T01:41:36.7588565Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.017s) 2022-11-23T01:41:36.7589052Z test_future_empty_dim_masked_prod_cpu_complex64 (__main__.TestSparseMaskedReductionsCPU) 2022-11-23T01:41:36.7589664Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.017s) 2022-11-23T01:41:36.7590150Z test_future_empty_dim_masked_prod_cpu_float32 (__main__.TestSparseMaskedReductionsCPU) 2022-11-23T01:41:36.7590590Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.021s) 2022-11-23T01:41:36.7591062Z test_future_empty_dim_masked_prod_cpu_float64 (__main__.TestSparseMaskedReductionsCPU) 2022-11-23T01:41:36.7591534Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.021s) 2022-11-23T01:41:36.7591976Z test_future_empty_dim_masked_prod_cpu_int16 (__main__.TestSparseMaskedReductionsCPU) 2022-11-23T01:41:36.7592518Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.016s) 2022-11-23T01:41:36.7592971Z test_future_empty_dim_masked_prod_cpu_int32 (__main__.TestSparseMaskedReductionsCPU) 2022-11-23T01:41:36.7593411Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.016s) 2022-11-23T01:41:36.7593867Z test_future_empty_dim_masked_prod_cpu_int64 (__main__.TestSparseMaskedReductionsCPU) 2022-11-23T01:41:36.7594320Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.017s) 2022-11-23T01:41:36.7594782Z test_future_empty_dim_masked_prod_cpu_int8 (__main__.TestSparseMaskedReductionsCPU) 2022-11-23T01:41:36.7595220Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.016s) 2022-11-23T01:41:36.7595679Z test_future_empty_dim_masked_prod_cpu_uint8 (__main__.TestSparseMaskedReductionsCPU) 2022-11-23T01:41:36.7596150Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.017s) 2022-11-23T01:41:36.7596640Z test_future_empty_dim_masked_sum_cpu_bfloat16 (__main__.TestSparseMaskedReductionsCPU) 2022-11-23T01:41:36.7597107Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.024s) 2022-11-23T01:41:36.7597578Z test_future_empty_dim_masked_sum_cpu_bool (__main__.TestSparseMaskedReductionsCPU) 2022-11-23T01:41:36.7598050Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.019s) 2022-11-23T01:41:36.7598520Z test_future_empty_dim_masked_sum_cpu_complex128 (__main__.TestSparseMaskedReductionsCPU) 2022-11-23T01:41:36.7599012Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.019s) 2022-11-23T01:41:36.7599496Z test_future_empty_dim_masked_sum_cpu_complex64 (__main__.TestSparseMaskedReductionsCPU) 2022-11-23T01:41:36.7599952Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.020s) 2022-11-23T01:41:36.7600354Z test_future_empty_dim_masked_sum_cpu_float16 (__main__.TestSparseMaskedReductionsCPU) 2022-11-23T01:41:36.7600805Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.024s) 2022-11-23T01:41:36.7601266Z test_future_empty_dim_masked_sum_cpu_float32 (__main__.TestSparseMaskedReductionsCPU) 2022-11-23T01:41:36.7601729Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.024s) 2022-11-23T01:41:36.7602191Z test_future_empty_dim_masked_sum_cpu_float64 (__main__.TestSparseMaskedReductionsCPU) 2022-11-23T01:41:36.7602663Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.023s) 2022-11-23T01:41:36.7603121Z test_future_empty_dim_masked_sum_cpu_int16 (__main__.TestSparseMaskedReductionsCPU) 2022-11-23T01:41:36.7603568Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.018s) 2022-11-23T01:41:36.7604023Z test_future_empty_dim_masked_sum_cpu_int32 (__main__.TestSparseMaskedReductionsCPU) 2022-11-23T01:41:36.7604488Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.018s) 2022-11-23T01:41:36.7604956Z test_future_empty_dim_masked_sum_cpu_int64 (__main__.TestSparseMaskedReductionsCPU) 2022-11-23T01:41:36.7605417Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.018s) 2022-11-23T01:41:36.7605902Z test_future_empty_dim_masked_sum_cpu_int8 (__main__.TestSparseMaskedReductionsCPU) 2022-11-23T01:41:36.7606461Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.019s) 2022-11-23T01:41:36.7606918Z test_future_empty_dim_masked_sum_cpu_uint8 (__main__.TestSparseMaskedReductionsCPU) 2022-11-23T01:41:36.7607393Z Currently, `dim=()` in reductions operations means "reduce over ... ok (0.018s) 2022-11-23T01:41:36.7607779Z test_basic (__main__.TestSparseMeta) ... ok (0.003s) 2022-11-23T01:41:36.7608192Z test_cuda_from_cpu (__main__.TestSparseOneOff) ... skip: CUDA not available (0.001s) 2022-11-23T01:41:36.7608682Z test_cuda_sparse_cpu_dense_add (__main__.TestSparseOneOff) ... skip: CUDA not available (0.001s) 2022-11-23T01:41:36.7609426Z test_inplace_abs_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: In-place abs not supported for complex tensors (0.001s) 2022-11-23T01:41:36.7610287Z test_inplace_abs_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: In-place abs not supported for complex tensors (0.001s) 2022-11-23T01:41:36.7610824Z test_inplace_abs_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7611289Z test_inplace_abs_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7611728Z test_inplace_abs_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7612168Z test_inplace_abs_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7612612Z test_inplace_abs_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7613074Z test_inplace_abs_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7613504Z test_inplace_abs_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7613955Z test_inplace_asin_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7614440Z test_inplace_asin_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7614896Z test_inplace_asin_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7615353Z test_inplace_asin_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7615786Z test_inplace_asin_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7616224Z test_inplace_asin_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7616668Z test_inplace_asin_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7617108Z test_inplace_asin_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7617556Z test_inplace_asin_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7618049Z test_inplace_asinh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7618519Z test_inplace_asinh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7619106Z test_inplace_asinh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7619571Z test_inplace_asinh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7620026Z test_inplace_asinh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7620457Z test_inplace_asinh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7620921Z test_inplace_asinh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7621361Z test_inplace_asinh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7621828Z test_inplace_asinh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7622283Z test_inplace_atan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7622756Z test_inplace_atan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7623222Z test_inplace_atan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7623781Z test_inplace_atan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7624246Z test_inplace_atan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7624697Z test_inplace_atan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7625154Z test_inplace_atan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7625587Z test_inplace_atan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7626037Z test_inplace_atan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7626628Z test_inplace_atanh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7627121Z test_inplace_atanh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7627566Z test_inplace_atanh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7628028Z test_inplace_atanh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7628569Z test_inplace_atanh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7629007Z test_inplace_atanh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7629452Z test_inplace_atanh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7629883Z test_inplace_atanh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7630330Z test_inplace_atanh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7630758Z test_inplace_ceil_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7631197Z test_inplace_ceil_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7631627Z test_inplace_ceil_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7632064Z test_inplace_ceil_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7632496Z test_inplace_ceil_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7632924Z test_inplace_ceil_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7633370Z test_inplace_ceil_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7633865Z test_inplace_conj_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7634428Z test_inplace_conj_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7635005Z test_inplace_conj_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7635522Z test_inplace_conj_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7636373Z test_inplace_conj_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7636914Z test_inplace_conj_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7637450Z test_inplace_conj_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7637964Z test_inplace_conj_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7638500Z test_inplace_conj_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7639101Z test_inplace_conj_physical_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! conj_physical_ not implemented for sparse (0.001s) 2022-11-23T01:41:36.7639762Z test_inplace_conj_physical_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! conj_physical_ not implemented for sparse (0.001s) 2022-11-23T01:41:36.7640484Z test_inplace_conj_physical_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! conj_physical_ not implemented for sparse (0.001s) 2022-11-23T01:41:36.7641118Z test_inplace_conj_physical_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! conj_physical_ not implemented for sparse (0.001s) 2022-11-23T01:41:36.7641726Z test_inplace_conj_physical_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! conj_physical_ not implemented for sparse (0.001s) 2022-11-23T01:41:36.7642335Z test_inplace_conj_physical_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! conj_physical_ not implemented for sparse (0.001s) 2022-11-23T01:41:36.7642990Z test_inplace_conj_physical_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! conj_physical_ not implemented for sparse (0.001s) 2022-11-23T01:41:36.7643602Z test_inplace_conj_physical_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! conj_physical_ not implemented for sparse (0.001s) 2022-11-23T01:41:36.7644213Z test_inplace_conj_physical_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! conj_physical_ not implemented for sparse (0.001s) 2022-11-23T01:41:36.7644764Z test_inplace_deg2rad_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7645219Z test_inplace_deg2rad_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7645720Z test_inplace_deg2rad_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.008s) 2022-11-23T01:41:36.7646166Z test_inplace_deg2rad_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.027s) 2022-11-23T01:41:36.7646616Z test_inplace_deg2rad_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.024s) 2022-11-23T01:41:36.7647059Z test_inplace_deg2rad_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.022s) 2022-11-23T01:41:36.7647501Z test_inplace_deg2rad_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.017s) 2022-11-23T01:41:36.7647977Z test_inplace_erf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s) 2022-11-23T01:41:36.7648434Z test_inplace_erf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s) 2022-11-23T01:41:36.7648876Z test_inplace_erf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.009s) 2022-11-23T01:41:36.7649325Z test_inplace_erf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.008s) 2022-11-23T01:41:36.7649746Z test_inplace_erf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7650172Z test_inplace_erf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7650608Z test_inplace_erf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7651065Z test_inplace_expm1_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7651511Z test_inplace_expm1_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7651975Z test_inplace_expm1_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7652439Z test_inplace_expm1_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7652891Z test_inplace_expm1_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7653327Z test_inplace_expm1_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7653775Z test_inplace_expm1_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7654230Z test_inplace_floor_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7654680Z test_inplace_floor_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7655147Z test_inplace_floor_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7655598Z test_inplace_floor_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7656129Z test_inplace_floor_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7656567Z test_inplace_floor_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7657017Z test_inplace_floor_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7657460Z test_inplace_frac_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7657893Z test_inplace_frac_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7658408Z test_inplace_isinf_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7659100Z test_inplace_isinf_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7659740Z test_inplace_isinf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7660307Z test_inplace_isinf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7660886Z test_inplace_isinf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7661452Z test_inplace_isinf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7661989Z test_inplace_isinf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7662483Z test_inplace_isinf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7663041Z test_inplace_isinf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7663641Z test_inplace_isnan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7664225Z test_inplace_isnan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7664817Z test_inplace_isnan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7665406Z test_inplace_isnan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7665987Z test_inplace_isnan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7666554Z test_inplace_isnan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7667100Z test_inplace_isnan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7667670Z test_inplace_isnan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7668357Z test_inplace_isnan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7668951Z test_inplace_isneginf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7669555Z test_inplace_isneginf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7670163Z test_inplace_isneginf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7670769Z test_inplace_isneginf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7671327Z test_inplace_isneginf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7671939Z test_inplace_isneginf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7672537Z test_inplace_isneginf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7673211Z test_inplace_isposinf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7673805Z test_inplace_isposinf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7674403Z test_inplace_isposinf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7675002Z test_inplace_isposinf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7675580Z test_inplace_isposinf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7676178Z test_inplace_isposinf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7676764Z test_inplace_isposinf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7677296Z test_inplace_log1p_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7677763Z test_inplace_log1p_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7678217Z test_inplace_log1p_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7678686Z test_inplace_log1p_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7679124Z test_inplace_log1p_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7679550Z test_inplace_log1p_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7680004Z test_inplace_log1p_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7680434Z test_inplace_nan_to_num_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7680894Z test_inplace_nan_to_num_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7681382Z test_inplace_nan_to_num_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7681867Z test_inplace_nan_to_num_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7682335Z test_inplace_nan_to_num_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7682801Z test_inplace_nan_to_num_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7683286Z test_inplace_nan_to_num_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7683767Z test_inplace_neg_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7684264Z test_inplace_neg_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7684727Z test_inplace_neg_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7685199Z test_inplace_neg_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7685677Z test_inplace_neg_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7686117Z test_inplace_neg_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7686575Z test_inplace_neg_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7687027Z test_inplace_neg_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7687491Z test_inplace_neg_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7688026Z test_inplace_nn_functional_relu_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7688641Z test_inplace_nn_functional_relu_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7689235Z test_inplace_nn_functional_relu_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7689944Z test_inplace_nn_functional_relu_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7690532Z test_inplace_nn_functional_relu_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7691131Z test_inplace_nn_functional_relu_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7691721Z test_inplace_nn_functional_relu_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7692323Z test_inplace_positive_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7692979Z test_inplace_positive_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7693558Z test_inplace_positive_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7694148Z test_inplace_positive_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7694724Z test_inplace_positive_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7695288Z test_inplace_positive_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7695849Z test_inplace_positive_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7696411Z test_inplace_positive_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7696963Z test_inplace_positive_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7697470Z test_inplace_rad2deg_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7697900Z test_inplace_rad2deg_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7698371Z test_inplace_rad2deg_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.007s) 2022-11-23T01:41:36.7699026Z test_inplace_rad2deg_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.007s) 2022-11-23T01:41:36.7699500Z test_inplace_rad2deg_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.007s) 2022-11-23T01:41:36.7699977Z test_inplace_rad2deg_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.007s) 2022-11-23T01:41:36.7700469Z test_inplace_rad2deg_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.007s) 2022-11-23T01:41:36.7700922Z test_inplace_round_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7701388Z test_inplace_round_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7701853Z test_inplace_round_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7702306Z test_inplace_round_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7702772Z test_inplace_round_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7703252Z test_inplace_round_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7703725Z test_inplace_round_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7704192Z test_inplace_sgn_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7704691Z test_inplace_sgn_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7705161Z test_inplace_sgn_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7705610Z test_inplace_sgn_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7706067Z test_inplace_sgn_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7706623Z test_inplace_sgn_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7707074Z test_inplace_sgn_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7707528Z test_inplace_sgn_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7707980Z test_inplace_sgn_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7708535Z test_inplace_sign_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7708986Z test_inplace_sign_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7709535Z test_inplace_sign_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7709982Z test_inplace_sign_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7710383Z test_inplace_sign_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7710794Z test_inplace_sign_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7711270Z test_inplace_sign_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7711758Z test_inplace_signbit_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7712313Z test_inplace_signbit_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7712892Z test_inplace_signbit_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7713479Z test_inplace_signbit_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7714063Z test_inplace_signbit_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7714607Z test_inplace_signbit_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7715176Z test_inplace_signbit_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7715701Z test_inplace_sin_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7716159Z test_inplace_sin_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7716630Z test_inplace_sin_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7717108Z test_inplace_sin_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7717571Z test_inplace_sin_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7718017Z test_inplace_sin_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7718471Z test_inplace_sin_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7718942Z test_inplace_sin_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7719404Z test_inplace_sin_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7719861Z test_inplace_sinh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7720338Z test_inplace_sinh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7720803Z test_inplace_sinh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7721253Z test_inplace_sinh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7721721Z test_inplace_sinh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7722186Z test_inplace_sinh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7722633Z test_inplace_sinh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7723080Z test_inplace_sinh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7723609Z test_inplace_sinh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7724080Z test_inplace_sqrt_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7724542Z test_inplace_sqrt_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7725008Z test_inplace_sqrt_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7725474Z test_inplace_sqrt_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7725928Z test_inplace_sqrt_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7726425Z test_inplace_sqrt_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7726878Z test_inplace_sqrt_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7727325Z test_inplace_sqrt_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7727752Z test_inplace_sqrt_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7728213Z test_inplace_tan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7728688Z test_inplace_tan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7729144Z test_inplace_tan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7729582Z test_inplace_tan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7730045Z test_inplace_tan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7730510Z test_inplace_tan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7730948Z test_inplace_tan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7731408Z test_inplace_tan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7731858Z test_inplace_tan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7732336Z test_inplace_tanh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7732811Z test_inplace_tanh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7733281Z test_inplace_tanh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7733720Z test_inplace_tanh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7734125Z test_inplace_tanh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7734578Z test_inplace_tanh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7735053Z test_inplace_tanh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7735535Z test_inplace_tanh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7736005Z test_inplace_tanh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7736789Z test_inplace_trunc_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7737291Z test_inplace_trunc_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7737765Z test_inplace_trunc_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7738242Z test_inplace_trunc_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7738718Z test_inplace_trunc_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7739524Z test_inplace_trunc_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7739976Z test_inplace_trunc_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7740426Z test_out_abs_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7741000Z test_out_abs_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7741432Z test_out_abs_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7741870Z test_out_abs_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7742300Z test_out_abs_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7742742Z test_out_abs_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7743178Z test_out_abs_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7743616Z test_out_abs_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7744142Z test_out_abs_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7744583Z test_out_asin_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7745053Z test_out_asin_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7745501Z test_out_asin_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7745959Z test_out_asin_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7746396Z test_out_asin_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7746831Z test_out_asin_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7747258Z test_out_asin_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7747675Z test_out_asin_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7748078Z test_out_asin_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7748611Z test_out_asinh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7749115Z test_out_asinh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7749586Z test_out_asinh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7750060Z test_out_asinh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7750540Z test_out_asinh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7750988Z test_out_asinh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7751460Z test_out_asinh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7751919Z test_out_asinh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7752366Z test_out_asinh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7752825Z test_out_atan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7753302Z test_out_atan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7753765Z test_out_atan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7754204Z test_out_atan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7754642Z test_out_atan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7755092Z test_out_atan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7755525Z test_out_atan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7755956Z test_out_atan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7756385Z test_out_atan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7756854Z test_out_atanh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7757309Z test_out_atanh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7757782Z test_out_atanh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7758386Z test_out_atanh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7758874Z test_out_atanh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7759332Z test_out_atanh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7759786Z test_out_atanh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7760274Z test_out_atanh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7760712Z test_out_atanh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7761176Z test_out_ceil_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7761712Z test_out_ceil_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7762198Z test_out_ceil_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7762617Z test_out_ceil_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7763072Z test_out_ceil_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7763491Z test_out_ceil_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7763918Z test_out_ceil_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7764413Z test_out_conj_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7764970Z test_out_conj_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7765514Z test_out_conj_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7766039Z test_out_conj_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7766562Z test_out_conj_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7767098Z test_out_conj_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7767633Z test_out_conj_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7768146Z test_out_conj_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7768666Z test_out_conj_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7769177Z test_out_conj_physical_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7769663Z test_out_conj_physical_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7770148Z test_out_conj_physical_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7770625Z test_out_conj_physical_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7771094Z test_out_conj_physical_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7771551Z test_out_conj_physical_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7772072Z test_out_conj_physical_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7772670Z test_out_conj_physical_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7773264Z test_out_conj_physical_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7773833Z test_out_deg2rad_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7774299Z test_out_deg2rad_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7774751Z test_out_deg2rad_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7775138Z test_out_deg2rad_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7775671Z test_out_deg2rad_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7776162Z test_out_deg2rad_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7776668Z test_out_deg2rad_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7777180Z test_out_erf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7777691Z test_out_erf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7778158Z test_out_erf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7778641Z test_out_erf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7779317Z test_out_erf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7779769Z test_out_erf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7780205Z test_out_erf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7780660Z test_out_expm1_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7781112Z test_out_expm1_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7781563Z test_out_expm1_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7781995Z test_out_expm1_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7782425Z test_out_expm1_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7782872Z test_out_expm1_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7783320Z test_out_expm1_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7783781Z test_out_floor_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7784239Z test_out_floor_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7784708Z test_out_floor_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7785136Z test_out_floor_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7785577Z test_out_floor_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7786020Z test_out_floor_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7786469Z test_out_floor_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7786915Z test_out_frac_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7787378Z test_out_frac_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7787896Z test_out_isinf_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7788532Z test_out_isinf_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7789104Z test_out_isinf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7789631Z test_out_isinf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7790181Z test_out_isinf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7790707Z test_out_isinf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7791212Z test_out_isinf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7791760Z test_out_isinf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7792278Z test_out_isinf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7792922Z test_out_isnan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7793490Z test_out_isnan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7794037Z test_out_isnan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7794567Z test_out_isnan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7795098Z test_out_isnan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7795714Z test_out_isnan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7796250Z test_out_isnan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7796795Z test_out_isnan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7797335Z test_out_isnan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7797841Z test_out_isneginf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7798310Z test_out_isneginf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7798745Z test_out_isneginf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7799197Z test_out_isneginf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7799652Z test_out_isneginf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7800098Z test_out_isneginf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7800555Z test_out_isneginf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7801018Z test_out_isposinf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7801459Z test_out_isposinf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7801900Z test_out_isposinf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7802356Z test_out_isposinf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7802813Z test_out_isposinf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7803253Z test_out_isposinf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7803702Z test_out_isposinf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7804147Z test_out_log1p_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7804582Z test_out_log1p_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7805019Z test_out_log1p_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7805463Z test_out_log1p_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7805911Z test_out_log1p_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7806349Z test_out_log1p_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7806795Z test_out_log1p_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7807244Z test_out_nan_to_num_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7807717Z test_out_nan_to_num_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7808167Z test_out_nan_to_num_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7808627Z test_out_nan_to_num_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7809144Z test_out_nan_to_num_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7809579Z test_out_nan_to_num_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7810025Z test_out_nan_to_num_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7810473Z test_out_neg_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7810927Z test_out_neg_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7811353Z test_out_neg_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7811789Z test_out_neg_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7812312Z test_out_neg_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7812735Z test_out_neg_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7813168Z test_out_neg_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7813625Z test_out_neg_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7814070Z test_out_neg_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7814589Z test_out_nn_functional_relu_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7815196Z test_out_nn_functional_relu_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7815785Z test_out_nn_functional_relu_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7816363Z test_out_nn_functional_relu_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7816968Z test_out_nn_functional_relu_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7817512Z test_out_nn_functional_relu_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7818024Z test_out_nn_functional_relu_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7818571Z test_out_positive_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7819286Z test_out_positive_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7819867Z test_out_positive_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7820430Z test_out_positive_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7820968Z test_out_positive_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7821517Z test_out_positive_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7822055Z test_out_positive_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7822601Z test_out_positive_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7823162Z test_out_positive_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Out not supported (0.001s) 2022-11-23T01:41:36.7823697Z test_out_rad2deg_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7824180Z test_out_rad2deg_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7824648Z test_out_rad2deg_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7825097Z test_out_rad2deg_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7825650Z test_out_rad2deg_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7826129Z test_out_rad2deg_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7826575Z test_out_rad2deg_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7827025Z test_out_round_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7827454Z test_out_round_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7827895Z test_out_round_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7828395Z test_out_round_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7828954Z test_out_round_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7829407Z test_out_round_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7829819Z test_out_round_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7830272Z test_out_sgn_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7830747Z test_out_sgn_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7831203Z test_out_sgn_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7831630Z test_out_sgn_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7832074Z test_out_sgn_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7832528Z test_out_sgn_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7832932Z test_out_sgn_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7833365Z test_out_sgn_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7833801Z test_out_sgn_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7834228Z test_out_sign_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7834671Z test_out_sign_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7835122Z test_out_sign_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7835559Z test_out_sign_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7835991Z test_out_sign_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7836464Z test_out_sign_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7836897Z test_out_sign_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7837317Z test_out_signbit_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7837776Z test_out_signbit_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7838228Z test_out_signbit_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7838677Z test_out_signbit_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7839099Z test_out_signbit_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7839548Z test_out_signbit_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7839993Z test_out_signbit_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7840452Z test_out_sin_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7840917Z test_out_sin_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7841375Z test_out_sin_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7841819Z test_out_sin_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7842253Z test_out_sin_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7842759Z test_out_sin_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7843202Z test_out_sin_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7843614Z test_out_sin_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7844060Z test_out_sin_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7844509Z test_out_sinh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7844965Z test_out_sinh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7845399Z test_out_sinh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7845909Z test_out_sinh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7846333Z test_out_sinh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7846757Z test_out_sinh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7847209Z test_out_sinh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7847647Z test_out_sinh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7848065Z test_out_sinh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7848479Z test_out_sqrt_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7848934Z test_out_sqrt_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7849359Z test_out_sqrt_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7849787Z test_out_sqrt_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7850198Z test_out_sqrt_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7850633Z test_out_sqrt_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7851067Z test_out_sqrt_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7851470Z test_out_sqrt_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7851910Z test_out_sqrt_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7852354Z test_out_tan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7852769Z test_out_tan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7853211Z test_out_tan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7853652Z test_out_tan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7854094Z test_out_tan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7854509Z test_out_tan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7854935Z test_out_tan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7855357Z test_out_tan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7855786Z test_out_tan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7856237Z test_out_tanh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7856693Z test_out_tanh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7857134Z test_out_tanh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7857562Z test_out_tanh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7858006Z test_out_tanh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7858448Z test_out_tanh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7859052Z test_out_tanh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7859610Z test_out_tanh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7860044Z test_out_tanh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7860472Z test_out_trunc_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7860881Z test_out_trunc_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7861305Z test_out_trunc_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7861742Z test_out_trunc_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7862135Z test_out_trunc_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7862651Z test_out_trunc_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7863083Z test_out_trunc_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7863546Z test_sparse_consistency_abs_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7864037Z test_sparse_consistency_abs_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7864527Z test_sparse_consistency_abs_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7865022Z test_sparse_consistency_abs_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7865488Z test_sparse_consistency_abs_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7865960Z test_sparse_consistency_abs_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7866436Z test_sparse_consistency_abs_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7866887Z test_sparse_consistency_abs_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7867370Z test_sparse_consistency_abs_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7867877Z test_sparse_consistency_asin_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7868450Z test_sparse_consistency_asin_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7868933Z test_sparse_consistency_asin_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7869412Z test_sparse_consistency_asin_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7869891Z test_sparse_consistency_asin_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7870376Z test_sparse_consistency_asin_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7870850Z test_sparse_consistency_asin_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7871329Z test_sparse_consistency_asin_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7871809Z test_sparse_consistency_asin_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7872311Z test_sparse_consistency_asinh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7872805Z test_sparse_consistency_asinh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7873293Z test_sparse_consistency_asinh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7873776Z test_sparse_consistency_asinh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7874256Z test_sparse_consistency_asinh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7874759Z test_sparse_consistency_asinh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7875248Z test_sparse_consistency_asinh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7875812Z test_sparse_consistency_asinh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7876289Z test_sparse_consistency_asinh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7876780Z test_sparse_consistency_atan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7877282Z test_sparse_consistency_atan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7877755Z test_sparse_consistency_atan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7878241Z test_sparse_consistency_atan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7878774Z test_sparse_consistency_atan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7879240Z test_sparse_consistency_atan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7879716Z test_sparse_consistency_atan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7880222Z test_sparse_consistency_atan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7880732Z test_sparse_consistency_atan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7881266Z test_sparse_consistency_atanh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7881760Z test_sparse_consistency_atanh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7882226Z test_sparse_consistency_atanh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7882719Z test_sparse_consistency_atanh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7883217Z test_sparse_consistency_atanh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7883714Z test_sparse_consistency_atanh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7884223Z test_sparse_consistency_atanh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7884715Z test_sparse_consistency_atanh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7885210Z test_sparse_consistency_atanh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7885722Z test_sparse_consistency_ceil_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7886232Z test_sparse_consistency_ceil_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7886735Z test_sparse_consistency_ceil_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7887234Z test_sparse_consistency_ceil_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7887734Z test_sparse_consistency_ceil_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7888240Z test_sparse_consistency_ceil_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7888719Z test_sparse_consistency_ceil_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7889235Z test_sparse_consistency_conj_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7889774Z test_sparse_consistency_conj_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7890293Z test_sparse_consistency_conj_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7890782Z test_sparse_consistency_conj_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7891304Z test_sparse_consistency_conj_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7891809Z test_sparse_consistency_conj_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7892279Z test_sparse_consistency_conj_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7892831Z test_sparse_consistency_conj_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7893335Z test_sparse_consistency_conj_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7893872Z test_sparse_consistency_conj_physical_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7894416Z test_sparse_consistency_conj_physical_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7894969Z test_sparse_consistency_conj_physical_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7895552Z test_sparse_consistency_conj_physical_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7896078Z test_sparse_consistency_conj_physical_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7896586Z test_sparse_consistency_conj_physical_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7897067Z test_sparse_consistency_conj_physical_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7897549Z test_sparse_consistency_conj_physical_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7898021Z test_sparse_consistency_conj_physical_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7898526Z test_sparse_consistency_deg2rad_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7899157Z test_sparse_consistency_deg2rad_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7899655Z test_sparse_consistency_deg2rad_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7900108Z test_sparse_consistency_deg2rad_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7900599Z test_sparse_consistency_deg2rad_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7901148Z test_sparse_consistency_deg2rad_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7901659Z test_sparse_consistency_deg2rad_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7902170Z test_sparse_consistency_erf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7902692Z test_sparse_consistency_erf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7903208Z test_sparse_consistency_erf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7903702Z test_sparse_consistency_erf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7904212Z test_sparse_consistency_erf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7904726Z test_sparse_consistency_erf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7905253Z test_sparse_consistency_erf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7905763Z test_sparse_consistency_expm1_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7906284Z test_sparse_consistency_expm1_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7906795Z test_sparse_consistency_expm1_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7907318Z test_sparse_consistency_expm1_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7907820Z test_sparse_consistency_expm1_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7908426Z test_sparse_consistency_expm1_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7908956Z test_sparse_consistency_expm1_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7909562Z test_sparse_consistency_floor_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7910060Z test_sparse_consistency_floor_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7910570Z test_sparse_consistency_floor_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7911076Z test_sparse_consistency_floor_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7911572Z test_sparse_consistency_floor_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7912082Z test_sparse_consistency_floor_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7912683Z test_sparse_consistency_floor_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7913167Z test_sparse_consistency_frac_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7913676Z test_sparse_consistency_frac_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7914194Z test_sparse_consistency_isinf_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7914722Z test_sparse_consistency_isinf_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7915239Z test_sparse_consistency_isinf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7915753Z test_sparse_consistency_isinf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7916255Z test_sparse_consistency_isinf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7916760Z test_sparse_consistency_isinf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7917234Z test_sparse_consistency_isinf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7917736Z test_sparse_consistency_isinf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7918202Z test_sparse_consistency_isinf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7918666Z test_sparse_consistency_isnan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7919178Z test_sparse_consistency_isnan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7919685Z test_sparse_consistency_isnan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7920196Z test_sparse_consistency_isnan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7920680Z test_sparse_consistency_isnan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7921187Z test_sparse_consistency_isnan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7921680Z test_sparse_consistency_isnan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7922191Z test_sparse_consistency_isnan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7922674Z test_sparse_consistency_isnan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7923197Z test_sparse_consistency_isneginf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7923731Z test_sparse_consistency_isneginf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7924236Z test_sparse_consistency_isneginf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7924767Z test_sparse_consistency_isneginf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7925303Z test_sparse_consistency_isneginf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7925813Z test_sparse_consistency_isneginf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7926370Z test_sparse_consistency_isneginf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7926893Z test_sparse_consistency_isposinf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7927393Z test_sparse_consistency_isposinf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7927903Z test_sparse_consistency_isposinf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7928395Z test_sparse_consistency_isposinf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7928894Z test_sparse_consistency_isposinf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7929493Z test_sparse_consistency_isposinf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7929997Z test_sparse_consistency_isposinf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7930501Z test_sparse_consistency_log1p_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7931009Z test_sparse_consistency_log1p_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7931563Z test_sparse_consistency_log1p_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7932143Z test_sparse_consistency_log1p_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7932753Z test_sparse_consistency_log1p_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7933373Z test_sparse_consistency_log1p_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7933966Z test_sparse_consistency_log1p_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7934584Z test_sparse_consistency_nan_to_num_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7935249Z test_sparse_consistency_nan_to_num_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7935895Z test_sparse_consistency_nan_to_num_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7936514Z test_sparse_consistency_nan_to_num_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7937132Z test_sparse_consistency_nan_to_num_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7937757Z test_sparse_consistency_nan_to_num_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7938381Z test_sparse_consistency_nan_to_num_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7939148Z test_sparse_consistency_neg_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7939782Z test_sparse_consistency_neg_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7940401Z test_sparse_consistency_neg_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7941019Z test_sparse_consistency_neg_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7941630Z test_sparse_consistency_neg_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7942235Z test_sparse_consistency_neg_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7942794Z test_sparse_consistency_neg_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7943388Z test_sparse_consistency_neg_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7944003Z test_sparse_consistency_neg_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7944643Z test_sparse_consistency_nn_functional_relu_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7945306Z test_sparse_consistency_nn_functional_relu_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7946085Z test_sparse_consistency_nn_functional_relu_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7946770Z test_sparse_consistency_nn_functional_relu_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7947431Z test_sparse_consistency_nn_functional_relu_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7948079Z test_sparse_consistency_nn_functional_relu_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7948832Z test_sparse_consistency_nn_functional_relu_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7949263Z test_sparse_consistency_positive_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7949579Z test_sparse_consistency_positive_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7949906Z test_sparse_consistency_positive_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7950214Z test_sparse_consistency_positive_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7950518Z test_sparse_consistency_positive_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7950807Z test_sparse_consistency_positive_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7951077Z test_sparse_consistency_positive_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7951360Z test_sparse_consistency_positive_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7951645Z test_sparse_consistency_positive_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7951943Z test_sparse_consistency_rad2deg_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7952236Z test_sparse_consistency_rad2deg_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7952524Z test_sparse_consistency_rad2deg_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7952811Z test_sparse_consistency_rad2deg_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7953090Z test_sparse_consistency_rad2deg_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7953362Z test_sparse_consistency_rad2deg_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7953648Z test_sparse_consistency_rad2deg_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7953940Z test_sparse_consistency_round_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7954235Z test_sparse_consistency_round_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7954521Z test_sparse_consistency_round_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7954811Z test_sparse_consistency_round_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7955097Z test_sparse_consistency_round_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7955376Z test_sparse_consistency_round_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7955666Z test_sparse_consistency_round_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7955943Z test_sparse_consistency_sgn_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7956226Z test_sparse_consistency_sgn_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7956492Z test_sparse_consistency_sgn_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7956749Z test_sparse_consistency_sgn_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7957109Z test_sparse_consistency_sgn_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7957391Z test_sparse_consistency_sgn_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7957671Z test_sparse_consistency_sgn_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7957955Z test_sparse_consistency_sgn_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7958233Z test_sparse_consistency_sgn_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7958505Z test_sparse_consistency_sign_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7958843Z test_sparse_consistency_sign_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7959125Z test_sparse_consistency_sign_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7959410Z test_sparse_consistency_sign_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7959700Z test_sparse_consistency_sign_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7959978Z test_sparse_consistency_sign_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7960252Z test_sparse_consistency_sign_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7960549Z test_sparse_consistency_signbit_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7960828Z test_sparse_consistency_signbit_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7961116Z test_sparse_consistency_signbit_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7961404Z test_sparse_consistency_signbit_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7961691Z test_sparse_consistency_signbit_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7961974Z test_sparse_consistency_signbit_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7962262Z test_sparse_consistency_signbit_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7962556Z test_sparse_consistency_sin_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7962839Z test_sparse_consistency_sin_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7963124Z test_sparse_consistency_sin_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7963401Z test_sparse_consistency_sin_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7963681Z test_sparse_consistency_sin_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7963973Z test_sparse_consistency_sin_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7964266Z test_sparse_consistency_sin_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7964553Z test_sparse_consistency_sin_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7964838Z test_sparse_consistency_sin_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7965136Z test_sparse_consistency_sinh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7965430Z test_sparse_consistency_sinh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7965711Z test_sparse_consistency_sinh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7966013Z test_sparse_consistency_sinh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7966303Z test_sparse_consistency_sinh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7966658Z test_sparse_consistency_sinh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7966908Z test_sparse_consistency_sinh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7967163Z test_sparse_consistency_sinh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7967401Z test_sparse_consistency_sinh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7967657Z test_sparse_consistency_sqrt_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7967917Z test_sparse_consistency_sqrt_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7968221Z test_sparse_consistency_sqrt_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7968484Z test_sparse_consistency_sqrt_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7968743Z test_sparse_consistency_sqrt_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7969024Z test_sparse_consistency_sqrt_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7969320Z test_sparse_consistency_sqrt_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7969606Z test_sparse_consistency_sqrt_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7969885Z test_sparse_consistency_sqrt_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7970185Z test_sparse_consistency_tan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7970473Z test_sparse_consistency_tan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7970750Z test_sparse_consistency_tan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7971038Z test_sparse_consistency_tan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7971330Z test_sparse_consistency_tan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7971621Z test_sparse_consistency_tan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7971906Z test_sparse_consistency_tan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7972193Z test_sparse_consistency_tan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7972472Z test_sparse_consistency_tan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7972772Z test_sparse_consistency_tanh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7973057Z test_sparse_consistency_tanh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7973347Z test_sparse_consistency_tanh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7973648Z test_sparse_consistency_tanh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7973930Z test_sparse_consistency_tanh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7974223Z test_sparse_consistency_tanh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7974508Z test_sparse_consistency_tanh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7974793Z test_sparse_consistency_tanh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7975075Z test_sparse_consistency_tanh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7975375Z test_sparse_consistency_trunc_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7975641Z test_sparse_consistency_trunc_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.7976002Z test_sparse_consistency_trunc_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7976298Z test_sparse_consistency_trunc_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7976577Z test_sparse_consistency_trunc_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7976849Z test_sparse_consistency_trunc_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7977127Z test_sparse_consistency_trunc_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7977397Z test_sparse_fn_grad_abs_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.005s) 2022-11-23T01:41:36.7977724Z test_sparse_fn_grad_abs_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.004s) 2022-11-23T01:41:36.7978068Z test_sparse_fn_grad_asin_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-11-23T01:41:36.7978437Z test_sparse_fn_grad_asin_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-11-23T01:41:36.7978935Z test_sparse_fn_grad_asinh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-11-23T01:41:36.7979320Z test_sparse_fn_grad_asinh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-11-23T01:41:36.7979690Z test_sparse_fn_grad_atan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-11-23T01:41:36.7980062Z test_sparse_fn_grad_atan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-11-23T01:41:36.7980451Z test_sparse_fn_grad_atanh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-11-23T01:41:36.7980820Z test_sparse_fn_grad_atanh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-11-23T01:41:36.7981105Z test_sparse_fn_grad_ceil_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s) 2022-11-23T01:41:36.7981391Z test_sparse_fn_grad_conj_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.010s) 2022-11-23T01:41:36.7981662Z test_sparse_fn_grad_conj_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.005s) 2022-11-23T01:41:36.7981981Z test_sparse_fn_grad_conj_physical_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7982293Z test_sparse_fn_grad_conj_physical_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s) 2022-11-23T01:41:36.7982581Z test_sparse_fn_grad_deg2rad_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s) 2022-11-23T01:41:36.7982946Z test_sparse_fn_grad_erf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-11-23T01:41:36.7983316Z test_sparse_fn_grad_expm1_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-11-23T01:41:36.7983594Z test_sparse_fn_grad_floor_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s) 2022-11-23T01:41:36.7983874Z test_sparse_fn_grad_frac_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s) 2022-11-23T01:41:36.7984535Z test_sparse_fn_grad_isinf_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Op doesn't support autograd (0.001s) 2022-11-23T01:41:36.7985061Z test_sparse_fn_grad_isinf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Op doesn't support autograd (0.001s) 2022-11-23T01:41:36.7985588Z test_sparse_fn_grad_isnan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Op doesn't support autograd (0.001s) 2022-11-23T01:41:36.7986112Z test_sparse_fn_grad_isnan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Op doesn't support autograd (0.001s) 2022-11-23T01:41:36.7986755Z test_sparse_fn_grad_isneginf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Op doesn't support autograd (0.001s) 2022-11-23T01:41:36.7987291Z test_sparse_fn_grad_isposinf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Op doesn't support autograd (0.001s) 2022-11-23T01:41:36.7988616Z test_sparse_fn_grad_log1p_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/autograd/__init__.py:302: UserWarning: log1p_backward: received self with sparse layout, but backward requires materialization of a dense tensor with this shape (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/autograd/FunctionsManual.cpp:4849.) 2022-11-23T01:41:36.7988972Z allow_unused, accumulate_grad=False) # Calls into the C++ engine to run the backward pass 2022-11-23T01:41:36.7989097Z ok (0.004s) 2022-11-23T01:41:36.7989480Z test_sparse_fn_grad_nan_to_num_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-11-23T01:41:36.7989773Z test_sparse_fn_grad_neg_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7990059Z test_sparse_fn_grad_neg_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s) 2022-11-23T01:41:36.7990359Z test_sparse_fn_grad_nn_functional_relu_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.008s) 2022-11-23T01:41:36.7990652Z test_sparse_fn_grad_positive_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.006s) 2022-11-23T01:41:36.7990944Z test_sparse_fn_grad_positive_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s) 2022-11-23T01:41:36.7991233Z test_sparse_fn_grad_rad2deg_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s) 2022-11-23T01:41:36.7991537Z test_sparse_fn_grad_round_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s) 2022-11-23T01:41:36.7991905Z test_sparse_fn_grad_sgn_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-11-23T01:41:36.7992277Z test_sparse_fn_grad_sgn_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-11-23T01:41:36.7992560Z test_sparse_fn_grad_sign_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s) 2022-11-23T01:41:36.7993139Z test_sparse_fn_grad_signbit_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! Op doesn't support autograd (0.001s) 2022-11-23T01:41:36.7993494Z test_sparse_fn_grad_sin_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-11-23T01:41:36.7993861Z test_sparse_fn_grad_sin_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-11-23T01:41:36.7994234Z test_sparse_fn_grad_sinh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-11-23T01:41:36.7994608Z test_sparse_fn_grad_sinh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-11-23T01:41:36.7994982Z test_sparse_fn_grad_sqrt_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-11-23T01:41:36.7995337Z test_sparse_fn_grad_sqrt_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-11-23T01:41:36.7995711Z test_sparse_fn_grad_tan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-11-23T01:41:36.7996077Z test_sparse_fn_grad_tan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-11-23T01:41:36.7996449Z test_sparse_fn_grad_tanh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-11-23T01:41:36.7996803Z test_sparse_fn_grad_tanh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... skip: Skipped! sparse backward not supported (0.001s) 2022-11-23T01:41:36.7997154Z test_sparse_fn_grad_trunc_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.003s) 2022-11-23T01:41:36.7997445Z test_sparse_zero_dims_abs_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7997729Z test_sparse_zero_dims_abs_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7997994Z test_sparse_zero_dims_abs_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7998259Z test_sparse_zero_dims_abs_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7998559Z test_sparse_zero_dims_abs_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7998826Z test_sparse_zero_dims_abs_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7999085Z test_sparse_zero_dims_abs_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7999351Z test_sparse_zero_dims_abs_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7999599Z test_sparse_zero_dims_abs_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.7999881Z test_sparse_zero_dims_asin_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8000161Z test_sparse_zero_dims_asin_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8000435Z test_sparse_zero_dims_asin_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8000705Z test_sparse_zero_dims_asin_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8000979Z test_sparse_zero_dims_asin_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8001246Z test_sparse_zero_dims_asin_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8001519Z test_sparse_zero_dims_asin_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8001770Z test_sparse_zero_dims_asin_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8002032Z test_sparse_zero_dims_asin_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8002305Z test_sparse_zero_dims_asinh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8002574Z test_sparse_zero_dims_asinh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8002849Z test_sparse_zero_dims_asinh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8003119Z test_sparse_zero_dims_asinh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8003390Z test_sparse_zero_dims_asinh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8003656Z test_sparse_zero_dims_asinh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8003946Z test_sparse_zero_dims_asinh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8004204Z test_sparse_zero_dims_asinh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8004468Z test_sparse_zero_dims_asinh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8004741Z test_sparse_zero_dims_atan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8005002Z test_sparse_zero_dims_atan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8005236Z test_sparse_zero_dims_atan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8005464Z test_sparse_zero_dims_atan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8005696Z test_sparse_zero_dims_atan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8006011Z test_sparse_zero_dims_atan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8006225Z test_sparse_zero_dims_atan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8006427Z test_sparse_zero_dims_atan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8006651Z test_sparse_zero_dims_atan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8006891Z test_sparse_zero_dims_atanh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8007129Z test_sparse_zero_dims_atanh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8007450Z test_sparse_zero_dims_atanh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8007682Z test_sparse_zero_dims_atanh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8007910Z test_sparse_zero_dims_atanh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8008138Z test_sparse_zero_dims_atanh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8008350Z test_sparse_zero_dims_atanh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8008577Z test_sparse_zero_dims_atanh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8008804Z test_sparse_zero_dims_atanh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8009037Z test_sparse_zero_dims_ceil_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8009270Z test_sparse_zero_dims_ceil_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8009499Z test_sparse_zero_dims_ceil_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8009724Z test_sparse_zero_dims_ceil_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8009946Z test_sparse_zero_dims_ceil_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8010170Z test_sparse_zero_dims_ceil_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8010380Z test_sparse_zero_dims_ceil_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8010618Z test_sparse_zero_dims_conj_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8010859Z test_sparse_zero_dims_conj_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8011086Z test_sparse_zero_dims_conj_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8011322Z test_sparse_zero_dims_conj_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8011539Z test_sparse_zero_dims_conj_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8011757Z test_sparse_zero_dims_conj_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8011991Z test_sparse_zero_dims_conj_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8012199Z test_sparse_zero_dims_conj_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8012418Z test_sparse_zero_dims_conj_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8012674Z test_sparse_zero_dims_conj_physical_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8012914Z test_sparse_zero_dims_conj_physical_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8013167Z test_sparse_zero_dims_conj_physical_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8013415Z test_sparse_zero_dims_conj_physical_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8013656Z test_sparse_zero_dims_conj_physical_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8013972Z test_sparse_zero_dims_conj_physical_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8014273Z test_sparse_zero_dims_conj_physical_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8014512Z test_sparse_zero_dims_conj_physical_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8014760Z test_sparse_zero_dims_conj_physical_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8014995Z test_sparse_zero_dims_deg2rad_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8015298Z test_sparse_zero_dims_deg2rad_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8015531Z test_sparse_zero_dims_deg2rad_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8015766Z test_sparse_zero_dims_deg2rad_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8016005Z test_sparse_zero_dims_deg2rad_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8016239Z test_sparse_zero_dims_deg2rad_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8016523Z test_sparse_zero_dims_deg2rad_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8016792Z test_sparse_zero_dims_erf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8017066Z test_sparse_zero_dims_erf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8017351Z test_sparse_zero_dims_erf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8017631Z test_sparse_zero_dims_erf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8017904Z test_sparse_zero_dims_erf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8018178Z test_sparse_zero_dims_erf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8018455Z test_sparse_zero_dims_erf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8018871Z test_sparse_zero_dims_expm1_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8019149Z test_sparse_zero_dims_expm1_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8019435Z test_sparse_zero_dims_expm1_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8019714Z test_sparse_zero_dims_expm1_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8019997Z test_sparse_zero_dims_expm1_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8020282Z test_sparse_zero_dims_expm1_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8020561Z test_sparse_zero_dims_expm1_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8020854Z test_sparse_zero_dims_floor_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8021144Z test_sparse_zero_dims_floor_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8021422Z test_sparse_zero_dims_floor_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8021651Z test_sparse_zero_dims_floor_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8021910Z test_sparse_zero_dims_floor_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8022182Z test_sparse_zero_dims_floor_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8022470Z test_sparse_zero_dims_floor_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8022759Z test_sparse_zero_dims_frac_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8023183Z test_sparse_zero_dims_frac_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8023523Z test_sparse_zero_dims_isinf_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8023847Z test_sparse_zero_dims_isinf_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8024149Z test_sparse_zero_dims_isinf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8024466Z test_sparse_zero_dims_isinf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8024775Z test_sparse_zero_dims_isinf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8025160Z test_sparse_zero_dims_isinf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8025473Z test_sparse_zero_dims_isinf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.002s) 2022-11-23T01:41:36.8025789Z test_sparse_zero_dims_isinf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8026102Z test_sparse_zero_dims_isinf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8026433Z test_sparse_zero_dims_isnan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8026758Z test_sparse_zero_dims_isnan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8027063Z test_sparse_zero_dims_isnan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8027383Z test_sparse_zero_dims_isnan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8027700Z test_sparse_zero_dims_isnan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8028014Z test_sparse_zero_dims_isnan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8028397Z test_sparse_zero_dims_isnan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8028713Z test_sparse_zero_dims_isnan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8029025Z test_sparse_zero_dims_isnan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8029358Z test_sparse_zero_dims_isneginf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8029671Z test_sparse_zero_dims_isneginf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8029993Z test_sparse_zero_dims_isneginf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8030311Z test_sparse_zero_dims_isneginf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8030630Z test_sparse_zero_dims_isneginf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8030953Z test_sparse_zero_dims_isneginf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8031280Z test_sparse_zero_dims_isneginf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8031609Z test_sparse_zero_dims_isposinf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8031936Z test_sparse_zero_dims_isposinf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8032261Z test_sparse_zero_dims_isposinf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8032567Z test_sparse_zero_dims_isposinf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8032886Z test_sparse_zero_dims_isposinf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8033207Z test_sparse_zero_dims_isposinf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8033527Z test_sparse_zero_dims_isposinf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8033924Z test_sparse_zero_dims_log1p_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8034247Z test_sparse_zero_dims_log1p_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8034561Z test_sparse_zero_dims_log1p_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8034872Z test_sparse_zero_dims_log1p_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8035187Z test_sparse_zero_dims_log1p_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8035487Z test_sparse_zero_dims_log1p_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8035855Z test_sparse_zero_dims_log1p_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8036186Z test_sparse_zero_dims_nan_to_num_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8036516Z test_sparse_zero_dims_nan_to_num_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8036845Z test_sparse_zero_dims_nan_to_num_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8037167Z test_sparse_zero_dims_nan_to_num_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8037486Z test_sparse_zero_dims_nan_to_num_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8037807Z test_sparse_zero_dims_nan_to_num_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8038111Z test_sparse_zero_dims_nan_to_num_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8038439Z test_sparse_zero_dims_neg_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8038760Z test_sparse_zero_dims_neg_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8039071Z test_sparse_zero_dims_neg_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8039390Z test_sparse_zero_dims_neg_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8039701Z test_sparse_zero_dims_neg_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8040010Z test_sparse_zero_dims_neg_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8040317Z test_sparse_zero_dims_neg_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8040627Z test_sparse_zero_dims_neg_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8040918Z test_sparse_zero_dims_neg_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8041274Z test_sparse_zero_dims_nn_functional_relu_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8041628Z test_sparse_zero_dims_nn_functional_relu_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8041977Z test_sparse_zero_dims_nn_functional_relu_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8042321Z test_sparse_zero_dims_nn_functional_relu_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8042663Z test_sparse_zero_dims_nn_functional_relu_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8043007Z test_sparse_zero_dims_nn_functional_relu_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8043349Z test_sparse_zero_dims_nn_functional_relu_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8043682Z test_sparse_zero_dims_positive_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8044008Z test_sparse_zero_dims_positive_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8044338Z test_sparse_zero_dims_positive_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8044738Z test_sparse_zero_dims_positive_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8045071Z test_sparse_zero_dims_positive_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8045388Z test_sparse_zero_dims_positive_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8045703Z test_sparse_zero_dims_positive_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8046022Z test_sparse_zero_dims_positive_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8046344Z test_sparse_zero_dims_positive_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8046703Z test_sparse_zero_dims_rad2deg_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8047025Z test_sparse_zero_dims_rad2deg_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8047347Z test_sparse_zero_dims_rad2deg_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8047666Z test_sparse_zero_dims_rad2deg_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8047985Z test_sparse_zero_dims_rad2deg_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8048305Z test_sparse_zero_dims_rad2deg_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8048629Z test_sparse_zero_dims_rad2deg_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8048944Z test_sparse_zero_dims_round_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8049267Z test_sparse_zero_dims_round_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8049567Z test_sparse_zero_dims_round_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8049881Z test_sparse_zero_dims_round_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8050202Z test_sparse_zero_dims_round_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8050511Z test_sparse_zero_dims_round_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8050824Z test_sparse_zero_dims_round_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8051149Z test_sparse_zero_dims_sgn_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8051468Z test_sparse_zero_dims_sgn_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8051777Z test_sparse_zero_dims_sgn_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8052092Z test_sparse_zero_dims_sgn_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8052383Z test_sparse_zero_dims_sgn_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8052695Z test_sparse_zero_dims_sgn_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8053001Z test_sparse_zero_dims_sgn_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8053310Z test_sparse_zero_dims_sgn_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8053616Z test_sparse_zero_dims_sgn_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8053933Z test_sparse_zero_dims_sign_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8054250Z test_sparse_zero_dims_sign_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8054567Z test_sparse_zero_dims_sign_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8054864Z test_sparse_zero_dims_sign_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8055174Z test_sparse_zero_dims_sign_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8055555Z test_sparse_zero_dims_sign_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8055874Z test_sparse_zero_dims_sign_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8056197Z test_sparse_zero_dims_signbit_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8056518Z test_sparse_zero_dims_signbit_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8056838Z test_sparse_zero_dims_signbit_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8057207Z test_sparse_zero_dims_signbit_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8057526Z test_sparse_zero_dims_signbit_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8057828Z test_sparse_zero_dims_signbit_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8058149Z test_sparse_zero_dims_signbit_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8058470Z test_sparse_zero_dims_sin_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8058985Z test_sparse_zero_dims_sin_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8059303Z test_sparse_zero_dims_sin_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8059617Z test_sparse_zero_dims_sin_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8059924Z test_sparse_zero_dims_sin_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8060234Z test_sparse_zero_dims_sin_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8060529Z test_sparse_zero_dims_sin_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8060843Z test_sparse_zero_dims_sin_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8061150Z test_sparse_zero_dims_sin_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8061475Z test_sparse_zero_dims_sinh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8061798Z test_sparse_zero_dims_sinh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8062116Z test_sparse_zero_dims_sinh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8062432Z test_sparse_zero_dims_sinh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8062746Z test_sparse_zero_dims_sinh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8063058Z test_sparse_zero_dims_sinh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8063355Z test_sparse_zero_dims_sinh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8063664Z test_sparse_zero_dims_sinh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8063971Z test_sparse_zero_dims_sinh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8064298Z test_sparse_zero_dims_sqrt_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8064626Z test_sparse_zero_dims_sqrt_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8064942Z test_sparse_zero_dims_sqrt_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8065254Z test_sparse_zero_dims_sqrt_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8065566Z test_sparse_zero_dims_sqrt_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8065859Z test_sparse_zero_dims_sqrt_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8066274Z test_sparse_zero_dims_sqrt_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8066589Z test_sparse_zero_dims_sqrt_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8066900Z test_sparse_zero_dims_sqrt_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8067223Z test_sparse_zero_dims_tan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8067546Z test_sparse_zero_dims_tan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8067862Z test_sparse_zero_dims_tan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8068240Z test_sparse_zero_dims_tan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8068629Z test_sparse_zero_dims_tan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8068924Z test_sparse_zero_dims_tan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8069235Z test_sparse_zero_dims_tan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8069544Z test_sparse_zero_dims_tan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8069850Z test_sparse_zero_dims_tan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8070177Z test_sparse_zero_dims_tanh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8070504Z test_sparse_zero_dims_tanh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8070824Z test_sparse_zero_dims_tanh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8071144Z test_sparse_zero_dims_tanh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8071440Z test_sparse_zero_dims_tanh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8071753Z test_sparse_zero_dims_tanh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8072060Z test_sparse_zero_dims_tanh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8072370Z test_sparse_zero_dims_tanh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8072682Z test_sparse_zero_dims_tanh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8073002Z test_sparse_zero_dims_trunc_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8073324Z test_sparse_zero_dims_trunc_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8073642Z test_sparse_zero_dims_trunc_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8073958Z test_sparse_zero_dims_trunc_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8074258Z test_sparse_zero_dims_trunc_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8074570Z test_sparse_zero_dims_trunc_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8074883Z test_sparse_zero_dims_trunc_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8075197Z test_sparse_zeros_abs_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8075510Z test_sparse_zeros_abs_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8075823Z test_sparse_zeros_abs_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8076129Z test_sparse_zeros_abs_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8076433Z test_sparse_zeros_abs_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8076721Z test_sparse_zeros_abs_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8077102Z test_sparse_zeros_abs_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8077411Z test_sparse_zeros_abs_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8077714Z test_sparse_zeros_abs_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8078074Z test_sparse_zeros_asin_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8078386Z test_sparse_zeros_asin_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8078696Z test_sparse_zeros_asin_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8079080Z test_sparse_zeros_asin_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8079388Z test_sparse_zeros_asin_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8079680Z test_sparse_zeros_asin_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8079988Z test_sparse_zeros_asin_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8080291Z test_sparse_zeros_asin_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8080595Z test_sparse_zeros_asin_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8080916Z test_sparse_zeros_asinh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8081233Z test_sparse_zeros_asinh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8081544Z test_sparse_zeros_asinh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8081860Z test_sparse_zeros_asinh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8082152Z test_sparse_zeros_asinh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8082457Z test_sparse_zeros_asinh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8082764Z test_sparse_zeros_asinh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8083070Z test_sparse_zeros_asinh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8083375Z test_sparse_zeros_asinh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8083693Z test_sparse_zeros_atan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8084007Z test_sparse_zeros_atan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8084315Z test_sparse_zeros_atan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8084627Z test_sparse_zeros_atan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8084920Z test_sparse_zeros_atan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8085223Z test_sparse_zeros_atan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8085521Z test_sparse_zeros_atan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8085825Z test_sparse_zeros_atan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8086129Z test_sparse_zeros_atan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8086450Z test_sparse_zeros_atanh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8086768Z test_sparse_zeros_atanh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8087079Z test_sparse_zeros_atanh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8087379Z test_sparse_zeros_atanh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8087686Z test_sparse_zeros_atanh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8088063Z test_sparse_zeros_atanh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8088372Z test_sparse_zeros_atanh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8088676Z test_sparse_zeros_atanh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8088984Z test_sparse_zeros_atanh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8089296Z test_sparse_zeros_ceil_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8089602Z test_sparse_zeros_ceil_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8089939Z test_sparse_zeros_ceil_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8090241Z test_sparse_zeros_ceil_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8090542Z test_sparse_zeros_ceil_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8090849Z test_sparse_zeros_ceil_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8091152Z test_sparse_zeros_ceil_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8091470Z test_sparse_zeros_conj_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8091787Z test_sparse_zeros_conj_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8092095Z test_sparse_zeros_conj_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8092406Z test_sparse_zeros_conj_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8092698Z test_sparse_zeros_conj_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8093003Z test_sparse_zeros_conj_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8093305Z test_sparse_zeros_conj_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8093612Z test_sparse_zeros_conj_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8093914Z test_sparse_zeros_conj_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8094258Z test_sparse_zeros_conj_physical_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8094600Z test_sparse_zeros_conj_physical_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8094933Z test_sparse_zeros_conj_physical_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8095245Z test_sparse_zeros_conj_physical_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8095575Z test_sparse_zeros_conj_physical_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8095903Z test_sparse_zeros_conj_physical_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8096227Z test_sparse_zeros_conj_physical_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8096553Z test_sparse_zeros_conj_physical_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8096876Z test_sparse_zeros_conj_physical_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8097190Z test_sparse_zeros_deg2rad_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8097508Z test_sparse_zeros_deg2rad_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8097819Z test_sparse_zeros_deg2rad_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8098115Z test_sparse_zeros_deg2rad_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8098423Z test_sparse_zeros_deg2rad_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8098960Z test_sparse_zeros_deg2rad_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8099286Z test_sparse_zeros_deg2rad_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8099593Z test_sparse_zeros_erf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8099900Z test_sparse_zeros_erf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8100200Z test_sparse_zeros_erf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8100500Z test_sparse_zeros_erf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8100784Z test_sparse_zeros_erf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8101155Z test_sparse_zeros_erf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8101456Z test_sparse_zeros_erf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8101771Z test_sparse_zeros_expm1_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8102078Z test_sparse_zeros_expm1_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8102383Z test_sparse_zeros_expm1_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8102687Z test_sparse_zeros_expm1_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8102992Z test_sparse_zeros_expm1_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8103307Z test_sparse_zeros_expm1_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8103599Z test_sparse_zeros_expm1_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8103906Z test_sparse_zeros_floor_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8104216Z test_sparse_zeros_floor_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8104527Z test_sparse_zeros_floor_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8104837Z test_sparse_zeros_floor_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8105143Z test_sparse_zeros_floor_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8105450Z test_sparse_zeros_floor_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8105754Z test_sparse_zeros_floor_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8106046Z test_sparse_zeros_frac_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8106354Z test_sparse_zeros_frac_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8106668Z test_sparse_zeros_isinf_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8106981Z test_sparse_zeros_isinf_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8107294Z test_sparse_zeros_isinf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8107599Z test_sparse_zeros_isinf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8132556Z test_sparse_zeros_isinf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8132918Z test_sparse_zeros_isinf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8133144Z test_sparse_zeros_isinf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8133405Z test_sparse_zeros_isinf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8133658Z test_sparse_zeros_isinf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8133895Z test_sparse_zeros_isnan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8134284Z test_sparse_zeros_isnan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8134503Z test_sparse_zeros_isnan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8134716Z test_sparse_zeros_isnan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8134926Z test_sparse_zeros_isnan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8135147Z test_sparse_zeros_isnan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8135352Z test_sparse_zeros_isnan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8135641Z test_sparse_zeros_isnan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8135857Z test_sparse_zeros_isnan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8136089Z test_sparse_zeros_isneginf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8136326Z test_sparse_zeros_isneginf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8136556Z test_sparse_zeros_isneginf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8136831Z test_sparse_zeros_isneginf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8137067Z test_sparse_zeros_isneginf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8137319Z test_sparse_zeros_isneginf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8137554Z test_sparse_zeros_isneginf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8137800Z test_sparse_zeros_isposinf_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8138028Z test_sparse_zeros_isposinf_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8138288Z test_sparse_zeros_isposinf_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8138515Z test_sparse_zeros_isposinf_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8138943Z test_sparse_zeros_isposinf_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8139202Z test_sparse_zeros_isposinf_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8139443Z test_sparse_zeros_isposinf_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8139660Z test_sparse_zeros_log1p_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8139911Z test_sparse_zeros_log1p_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8140165Z test_sparse_zeros_log1p_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8140405Z test_sparse_zeros_log1p_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8140607Z test_sparse_zeros_log1p_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8140875Z test_sparse_zeros_log1p_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8141132Z test_sparse_zeros_log1p_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8141401Z test_sparse_zeros_nan_to_num_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8141663Z test_sparse_zeros_nan_to_num_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8141931Z test_sparse_zeros_nan_to_num_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8142198Z test_sparse_zeros_nan_to_num_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8142452Z test_sparse_zeros_nan_to_num_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8142826Z test_sparse_zeros_nan_to_num_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8143094Z test_sparse_zeros_nan_to_num_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8143341Z test_sparse_zeros_neg_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8143595Z test_sparse_zeros_neg_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8143859Z test_sparse_zeros_neg_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8144119Z test_sparse_zeros_neg_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8144374Z test_sparse_zeros_neg_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8144693Z test_sparse_zeros_neg_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8144937Z test_sparse_zeros_neg_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8145209Z test_sparse_zeros_neg_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8145487Z test_sparse_zeros_neg_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8145813Z test_sparse_zeros_nn_functional_relu_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8146139Z test_sparse_zeros_nn_functional_relu_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8146436Z test_sparse_zeros_nn_functional_relu_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8146745Z test_sparse_zeros_nn_functional_relu_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8147055Z test_sparse_zeros_nn_functional_relu_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8147376Z test_sparse_zeros_nn_functional_relu_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8147701Z test_sparse_zeros_nn_functional_relu_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8148016Z test_sparse_zeros_positive_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8148408Z test_sparse_zeros_positive_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8148720Z test_sparse_zeros_positive_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8149023Z test_sparse_zeros_positive_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8149301Z test_sparse_zeros_positive_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8149600Z test_sparse_zeros_positive_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8149894Z test_sparse_zeros_positive_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8150190Z test_sparse_zeros_positive_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8150490Z test_sparse_zeros_positive_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8150789Z test_sparse_zeros_rad2deg_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8151086Z test_sparse_zeros_rad2deg_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8151379Z test_sparse_zeros_rad2deg_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8151669Z test_sparse_zeros_rad2deg_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8151945Z test_sparse_zeros_rad2deg_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8152236Z test_sparse_zeros_rad2deg_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8152532Z test_sparse_zeros_rad2deg_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8152900Z test_sparse_zeros_round_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8153196Z test_sparse_zeros_round_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8153484Z test_sparse_zeros_round_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8153770Z test_sparse_zeros_round_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8154062Z test_sparse_zeros_round_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8154335Z test_sparse_zeros_round_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8154686Z test_sparse_zeros_round_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8154981Z test_sparse_zeros_sgn_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8155278Z test_sparse_zeros_sgn_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8155574Z test_sparse_zeros_sgn_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8155866Z test_sparse_zeros_sgn_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8156149Z test_sparse_zeros_sgn_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8156419Z test_sparse_zeros_sgn_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8156697Z test_sparse_zeros_sgn_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8156968Z test_sparse_zeros_sgn_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8157248Z test_sparse_zeros_sgn_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8157541Z test_sparse_zeros_sign_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8157833Z test_sparse_zeros_sign_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8158121Z test_sparse_zeros_sign_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8158405Z test_sparse_zeros_sign_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8158689Z test_sparse_zeros_sign_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8158971Z test_sparse_zeros_sign_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8159241Z test_sparse_zeros_sign_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8159534Z test_sparse_zeros_signbit_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8159824Z test_sparse_zeros_signbit_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8160106Z test_sparse_zeros_signbit_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8160392Z test_sparse_zeros_signbit_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8160675Z test_sparse_zeros_signbit_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8160955Z test_sparse_zeros_signbit_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8161246Z test_sparse_zeros_signbit_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8161532Z test_sparse_zeros_sin_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8161828Z test_sparse_zeros_sin_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8162116Z test_sparse_zeros_sin_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8162404Z test_sparse_zeros_sin_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8162692Z test_sparse_zeros_sin_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8163044Z test_sparse_zeros_sin_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8163333Z test_sparse_zeros_sin_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8163624Z test_sparse_zeros_sin_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8163909Z test_sparse_zeros_sin_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8164197Z test_sparse_zeros_sinh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8164490Z test_sparse_zeros_sinh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8164859Z test_sparse_zeros_sinh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8165142Z test_sparse_zeros_sinh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8165418Z test_sparse_zeros_sinh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8165694Z test_sparse_zeros_sinh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8165979Z test_sparse_zeros_sinh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8166261Z test_sparse_zeros_sinh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8166535Z test_sparse_zeros_sinh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8166833Z test_sparse_zeros_sqrt_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8167129Z test_sparse_zeros_sqrt_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8167425Z test_sparse_zeros_sqrt_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8167718Z test_sparse_zeros_sqrt_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8168004Z test_sparse_zeros_sqrt_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8168289Z test_sparse_zeros_sqrt_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8168563Z test_sparse_zeros_sqrt_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8168848Z test_sparse_zeros_sqrt_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8169121Z test_sparse_zeros_sqrt_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8169417Z test_sparse_zeros_tan_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8169707Z test_sparse_zeros_tan_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8170000Z test_sparse_zeros_tan_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8170288Z test_sparse_zeros_tan_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8170571Z test_sparse_zeros_tan_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8170848Z test_sparse_zeros_tan_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8171128Z test_sparse_zeros_tan_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8171395Z test_sparse_zeros_tan_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8171682Z test_sparse_zeros_tan_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8171979Z test_sparse_zeros_tanh_cpu_complex128 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8172277Z test_sparse_zeros_tanh_cpu_complex64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8172566Z test_sparse_zeros_tanh_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8172852Z test_sparse_zeros_tanh_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8173199Z test_sparse_zeros_tanh_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8173490Z test_sparse_zeros_tanh_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8173760Z test_sparse_zeros_tanh_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8174037Z test_sparse_zeros_tanh_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8174322Z test_sparse_zeros_tanh_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8174618Z test_sparse_zeros_trunc_cpu_float32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8174992Z test_sparse_zeros_trunc_cpu_float64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8175277Z test_sparse_zeros_trunc_cpu_int16 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8175563Z test_sparse_zeros_trunc_cpu_int32 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8175856Z test_sparse_zeros_trunc_cpu_int64 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8176138Z test_sparse_zeros_trunc_cpu_int8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8176413Z test_sparse_zeros_trunc_cpu_uint8 (__main__.TestSparseUnaryUfuncsCPU) ... ok (0.001s) 2022-11-23T01:41:36.8176424Z 2022-11-23T01:41:36.8176858Z ---------------------------------------------------------------------- 2022-11-23T01:41:36.8177010Z Ran 1633 tests in 23.435s 2022-11-23T01:41:36.8177018Z 2022-11-23T01:41:36.8177155Z OK (skipped=169) 2022-11-23T01:41:36.8177162Z 2022-11-23T01:41:36.8177324Z Generating XML reports... 2022-11-23T01:41:36.8177845Z Generated XML report: test-reports/python-unittest/test_sparse/TEST-TestSparseCPU-20221123014112.xml 2022-11-23T01:41:36.8178439Z Generated XML report: test-reports/python-unittest/test_sparse/TEST-TestSparseMaskedReductionsCPU-20221123014112.xml 2022-11-23T01:41:36.8179053Z Generated XML report: test-reports/python-unittest/test_sparse/TEST-TestSparseMeta-20221123014112.xml 2022-11-23T01:41:36.8179620Z Generated XML report: test-reports/python-unittest/test_sparse/TEST-TestSparseUnaryUfuncsCPU-20221123014112.xml 2022-11-23T01:41:36.8180121Z Generated XML report: test-reports/python-unittest/test_sparse/TEST-TestSparseOneOff-20221123014112.xml 2022-11-23T01:41:36.8180130Z 2022-11-23T01:41:36.8180687Z ##[endgroup] 2022-11-23T01:41:36.8181185Z FINISHED PRINTING LOG FILE of test_sparse (/var/lib/jenkins/workspace/test/test-reports/test_sparse_5hxr0dz1) 2022-11-23T01:41:36.8181192Z 2022-11-23T01:41:38.9379631Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:41:39.0925312Z Ignoring disabled issues: [] 2022-11-23T01:41:39.1104483Z Running lazy/test_ts_opinfo ... [2022-11-23 01:41:39.110134] 2022-11-23T01:41:39.1106057Z Executing ['/opt/conda/bin/python', '-bb', 'lazy/test_ts_opinfo.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:41:39.110403] 2022-11-23T01:41:43.9408290Z 2022-11-23T01:41:43.9409152Z Expand the folded group to see the log file of test_xnnpack_integration 2022-11-23T01:41:43.9410135Z ##[group]PRINTING LOG FILE of test_xnnpack_integration (/var/lib/jenkins/workspace/test/test-reports/test_xnnpack_integration_mb22qfrp) 2022-11-23T01:41:43.9410933Z Test results will be stored in test-reports/python-unittest/test_xnnpack_integration 2022-11-23T01:41:43.9411254Z 2022-11-23T01:41:43.9411367Z Running tests... 2022-11-23T01:41:43.9411839Z ---------------------------------------------------------------------- 2022-11-23T01:41:43.9412266Z test_conv1d_basic (__main__.TestXNNPACKConv1dTransformPass) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s) 2022-11-23T01:41:43.9412927Z test_conv1d_with_relu_fc (__main__.TestXNNPACKConv1dTransformPass) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s) 2022-11-23T01:41:43.9413581Z test_conv2d (__main__.TestXNNPACKOps) ... ok (0.826s) 2022-11-23T01:41:43.9414051Z test_conv2d_transpose (__main__.TestXNNPACKOps) ... ok (1.303s) 2022-11-23T01:41:43.9414438Z test_linear (__main__.TestXNNPACKOps) ... skip: Fails on some platforms, see https://github.com/pytorch/pytorch/issues/73488 (0.001s) 2022-11-23T01:41:43.9414792Z test_linear_1d_input (__main__.TestXNNPACKOps) ... ok (0.167s) 2022-11-23T01:41:43.9415076Z test_decomposed_linear (__main__.TestXNNPACKRewritePass) ... ok (0.101s) 2022-11-23T01:41:43.9415379Z test_linear (__main__.TestXNNPACKRewritePass) ... ok (0.973s) 2022-11-23T01:41:43.9415766Z test_combined_model (__main__.TestXNNPACKSerDes) ... skip: Fails on some platforms, see https://github.com/pytorch/pytorch/issues/73488 (0.006s) 2022-11-23T01:41:43.9416188Z test_conv2d (__main__.TestXNNPACKSerDes) ... ok (1.794s) 2022-11-23T01:41:43.9416452Z test_conv2d_transpose (__main__.TestXNNPACKSerDes) ... ok (2.099s) 2022-11-23T01:41:43.9416825Z test_linear (__main__.TestXNNPACKSerDes) ... skip: Fails on some platforms, see https://github.com/pytorch/pytorch/issues/73488 (0.002s) 2022-11-23T01:41:43.9417059Z 2022-11-23T01:41:43.9417266Z ---------------------------------------------------------------------- 2022-11-23T01:41:43.9417491Z Ran 12 tests in 7.277s 2022-11-23T01:41:43.9417605Z 2022-11-23T01:41:43.9417677Z OK (skipped=5) 2022-11-23T01:41:43.9417784Z 2022-11-23T01:41:43.9417870Z Generating XML reports... 2022-11-23T01:41:43.9418318Z Generated XML report: test-reports/python-unittest/test_xnnpack_integration/TEST-TestXNNPACKOps-20221123014136.xml 2022-11-23T01:41:43.9419062Z Generated XML report: test-reports/python-unittest/test_xnnpack_integration/TEST-TestXNNPACKRewritePass-20221123014136.xml 2022-11-23T01:41:43.9419634Z Generated XML report: test-reports/python-unittest/test_xnnpack_integration/TEST-TestXNNPACKSerDes-20221123014136.xml 2022-11-23T01:41:43.9420226Z Generated XML report: test-reports/python-unittest/test_xnnpack_integration/TEST-TestXNNPACKConv1dTransformPass-20221123014136.xml 2022-11-23T01:41:43.9420506Z 2022-11-23T01:41:43.9420749Z ##[endgroup] 2022-11-23T01:41:43.9421169Z FINISHED PRINTING LOG FILE of test_xnnpack_integration (/var/lib/jenkins/workspace/test/test-reports/test_xnnpack_integration_mb22qfrp) 2022-11-23T01:41:43.9421408Z 2022-11-23T01:41:45.7973438Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:41:45.9417137Z Ignoring disabled issues: [] 2022-11-23T01:41:45.9583039Z Running test_stateless ... [2022-11-23 01:41:45.958018] 2022-11-23T01:41:45.9585174Z Executing ['/opt/conda/bin/python', '-bb', 'test_stateless.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:41:45.958290] 2022-11-23T01:41:49.9567014Z 2022-11-23T01:41:49.9567635Z Expand the folded group to see the log file of lazy/test_ts_opinfo 2022-11-23T01:41:49.9568756Z ##[group]PRINTING LOG FILE of lazy/test_ts_opinfo (/var/lib/jenkins/workspace/test/test-reports/lazy-test_ts_opinfo_25992v8z) 2022-11-23T01:41:49.9569609Z Test results will be stored in test-reports/python-unittest/lazy.test_ts_opinfo 2022-11-23T01:41:49.9569932Z 2022-11-23T01:41:49.9570054Z Running tests... 2022-11-23T01:41:49.9570564Z ---------------------------------------------------------------------- 2022-11-23T01:41:49.9571020Z test_nonzero_dynamic (__main__.TestLazyDynamicOps) ... ok (0.214s) 2022-11-23T01:41:49.9571543Z test_correctness__softmax_backward_data_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.007s) 2022-11-23T01:41:49.9572085Z test_correctness_abs_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9572577Z test_correctness_add_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.014s) 2022-11-23T01:41:49.9573024Z test_correctness_addcmul_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.032s) 2022-11-23T01:41:49.9573361Z test_correctness_addmm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.024s) 2022-11-23T01:41:49.9573691Z test_correctness_addmm_decomposed_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.006s) 2022-11-23T01:41:49.9574214Z test_correctness_arange_cpu_float32 (__main__.TestLazyOpInfoCPU) ... skip: Skipped! (0.002s) 2022-11-23T01:41:49.9574699Z test_correctness_as_strided_scatter_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.010s) 2022-11-23T01:41:49.9575227Z test_correctness_baddbmm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.012s) 2022-11-23T01:41:49.9575743Z test_correctness_block_diag_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.033s) 2022-11-23T01:41:49.9576054Z test_correctness_bmm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-11-23T01:41:49.9576359Z test_correctness_cat_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.014s) 2022-11-23T01:41:49.9576755Z test_correctness_clamp_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.008s) 2022-11-23T01:41:49.9577072Z test_correctness_clamp_min_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.012s) 2022-11-23T01:41:49.9577389Z test_correctness_constant_pad_nd_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.055s) 2022-11-23T01:41:49.9577713Z test_correctness_cos_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.005s) 2022-11-23T01:41:49.9578021Z test_correctness_cumsum_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.006s) 2022-11-23T01:41:49.9578329Z test_correctness_diag_embed_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.041s) 2022-11-23T01:41:49.9578658Z test_correctness_diagonal_copy_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.016s) 2022-11-23T01:41:49.9579308Z test_correctness_diagonal_scatter_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.026s) 2022-11-23T01:41:49.9579655Z test_correctness_div_floor_rounding_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.021s) 2022-11-23T01:41:49.9580049Z test_correctness_div_no_rounding_mode_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.016s) 2022-11-23T01:41:49.9580397Z test_correctness_div_trunc_rounding_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.017s) 2022-11-23T01:41:49.9580768Z test_correctness_empty_cpu_float32 (__main__.TestLazyOpInfoCPU) ... skip: Expected: empty is not comparable (0.002s) 2022-11-23T01:41:49.9581103Z test_correctness_eq_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.014s) 2022-11-23T01:41:49.9581407Z test_correctness_exp_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.006s) 2022-11-23T01:41:49.9581717Z test_correctness_flip_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.011s) 2022-11-23T01:41:49.9582027Z test_correctness_floor_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9582320Z test_correctness_frac_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9582631Z test_correctness_gather_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.032s) 2022-11-23T01:41:49.9582945Z test_correctness_ge_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.011s) 2022-11-23T01:41:49.9583252Z test_correctness_grid_sampler_2d_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.023s) 2022-11-23T01:41:49.9583570Z test_correctness_gt_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.011s) 2022-11-23T01:41:49.9583870Z test_correctness_le_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.011s) 2022-11-23T01:41:49.9584171Z test_correctness_log2_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-11-23T01:41:49.9584465Z test_correctness_log_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-11-23T01:41:49.9584780Z test_correctness_logsumexp_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.440s) 2022-11-23T01:41:49.9585092Z test_correctness_lt_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.012s) 2022-11-23T01:41:49.9585393Z test_correctness_masked_fill_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.012s) 2022-11-23T01:41:49.9585716Z test_correctness_max_binary_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.011s) 2022-11-23T01:41:49.9586062Z test_correctness_max_pool2d_with_indices_backward_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (2.051s) 2022-11-23T01:41:49.9586600Z test_correctness_max_reduction_no_dim_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9586954Z test_correctness_max_reduction_with_dim_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-11-23T01:41:49.9587285Z test_correctness_maximum_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.011s) 2022-11-23T01:41:49.9587589Z test_correctness_mean_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.021s) 2022-11-23T01:41:49.9587903Z test_correctness_min_binary_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.011s) 2022-11-23T01:41:49.9588239Z test_correctness_min_reduction_no_dim_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9588672Z test_correctness_min_reduction_with_dim_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9589040Z test_correctness_minimum_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.011s) 2022-11-23T01:41:49.9589348Z test_correctness_mm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9589654Z test_correctness_mul_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.011s) 2022-11-23T01:41:49.9589946Z test_correctness_mv_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9590280Z test_correctness_narrow_copy_cpu_float32 (__main__.TestLazyOpInfoCPU) ... expected failure (0.010s) 2022-11-23T01:41:49.9590628Z test_correctness_native_batch_norm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.016s) 2022-11-23T01:41:49.9590987Z test_correctness_native_dropout_backward_cpu_float32 (__main__.TestLazyOpInfoCPU) ... expected failure (0.006s) 2022-11-23T01:41:49.9591329Z test_correctness_native_layer_norm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.015s) 2022-11-23T01:41:49.9591645Z test_correctness_ne_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.011s) 2022-11-23T01:41:49.9591950Z test_correctness_neg_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9592277Z test_correctness_new_empty_strided_cpu_float32 (__main__.TestLazyOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:41:49.9592613Z test_correctness_norm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.035s) 2022-11-23T01:41:49.9592923Z test_correctness_norm_fro_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.005s) 2022-11-23T01:41:49.9593239Z test_correctness_norm_inf_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.005s) 2022-11-23T01:41:49.9593540Z test_correctness_norm_nuc_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.005s) 2022-11-23T01:41:49.9593858Z test_correctness_reciprocal_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-11-23T01:41:49.9594180Z test_correctness_remainder_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.016s) 2022-11-23T01:41:49.9594487Z test_correctness_repeat_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.037s) 2022-11-23T01:41:49.9594800Z test_correctness_rsqrt_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.005s) 2022-11-23T01:41:49.9595114Z test_correctness_scatter_add_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.045s) 2022-11-23T01:41:49.9595444Z test_correctness_select_scatter_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.007s) 2022-11-23T01:41:49.9595748Z test_correctness_sgn_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9596058Z test_correctness_sigmoid_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-11-23T01:41:49.9596379Z test_correctness_slice_scatter_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.019s) 2022-11-23T01:41:49.9596696Z test_correctness_sort_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.017s) 2022-11-23T01:41:49.9596991Z test_correctness_sqrt_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9597301Z test_correctness_stack_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.012s) 2022-11-23T01:41:49.9597606Z test_correctness_std_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.011s) 2022-11-23T01:41:49.9597896Z test_correctness_sub_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.014s) 2022-11-23T01:41:49.9598225Z test_correctness_sum_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.019s) 2022-11-23T01:41:49.9598532Z test_correctness_tanh_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9598838Z test_correctness_topk_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.007s) 2022-11-23T01:41:49.9599133Z test_correctness_trace_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s) 2022-11-23T01:41:49.9599436Z test_correctness_tril_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.010s) 2022-11-23T01:41:49.9599737Z test_correctness_triu_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.009s) 2022-11-23T01:41:49.9600064Z test_correctness_trunc_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9600380Z test_correctness_unfold_copy_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.023s) 2022-11-23T01:41:49.9600701Z test_correctness_view_copy_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.009s) 2022-11-23T01:41:49.9601053Z test_correctness_with_reusing_ir__softmax_backward_data_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.006s) 2022-11-23T01:41:49.9601399Z test_correctness_with_reusing_ir_abs_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9601731Z test_correctness_with_reusing_ir_add_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.014s) 2022-11-23T01:41:49.9602071Z test_correctness_with_reusing_ir_addcmul_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.030s) 2022-11-23T01:41:49.9602401Z test_correctness_with_reusing_ir_addmm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.007s) 2022-11-23T01:41:49.9602767Z test_correctness_with_reusing_ir_addmm_decomposed_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.006s) 2022-11-23T01:41:49.9603139Z test_correctness_with_reusing_ir_arange_cpu_float32 (__main__.TestLazyOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:41:49.9603510Z test_correctness_with_reusing_ir_as_strided_scatter_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.011s) 2022-11-23T01:41:49.9603855Z test_correctness_with_reusing_ir_baddbmm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.011s) 2022-11-23T01:41:49.9604207Z test_correctness_with_reusing_ir_block_diag_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.037s) 2022-11-23T01:41:49.9604550Z test_correctness_with_reusing_ir_bmm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-11-23T01:41:49.9604881Z test_correctness_with_reusing_ir_cat_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.013s) 2022-11-23T01:41:49.9605207Z test_correctness_with_reusing_ir_clamp_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.009s) 2022-11-23T01:41:49.9605557Z test_correctness_with_reusing_ir_clamp_min_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.012s) 2022-11-23T01:41:49.9605912Z test_correctness_with_reusing_ir_constant_pad_nd_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.063s) 2022-11-23T01:41:49.9606252Z test_correctness_with_reusing_ir_cos_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.005s) 2022-11-23T01:41:49.9606590Z test_correctness_with_reusing_ir_cumsum_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.006s) 2022-11-23T01:41:49.9606939Z test_correctness_with_reusing_ir_diag_embed_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.036s) 2022-11-23T01:41:49.9607299Z test_correctness_with_reusing_ir_diagonal_copy_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.016s) 2022-11-23T01:41:49.9607656Z test_correctness_with_reusing_ir_diagonal_scatter_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.024s) 2022-11-23T01:41:49.9608022Z test_correctness_with_reusing_ir_div_floor_rounding_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.018s) 2022-11-23T01:41:49.9608394Z test_correctness_with_reusing_ir_div_no_rounding_mode_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.017s) 2022-11-23T01:41:49.9608761Z test_correctness_with_reusing_ir_div_trunc_rounding_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.017s) 2022-11-23T01:41:49.9609169Z test_correctness_with_reusing_ir_empty_cpu_float32 (__main__.TestLazyOpInfoCPU) ... skip: Expected: empty is not comparable (0.002s) 2022-11-23T01:41:49.9609545Z test_correctness_with_reusing_ir_eq_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.016s) 2022-11-23T01:41:49.9609881Z test_correctness_with_reusing_ir_exp_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.005s) 2022-11-23T01:41:49.9610218Z test_correctness_with_reusing_ir_flip_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.011s) 2022-11-23T01:41:49.9610546Z test_correctness_with_reusing_ir_floor_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9610886Z test_correctness_with_reusing_ir_frac_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9611259Z test_correctness_with_reusing_ir_gather_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.020s) 2022-11-23T01:41:49.9611587Z test_correctness_with_reusing_ir_ge_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.013s) 2022-11-23T01:41:49.9611941Z test_correctness_with_reusing_ir_grid_sampler_2d_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.023s) 2022-11-23T01:41:49.9612287Z test_correctness_with_reusing_ir_gt_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.013s) 2022-11-23T01:41:49.9612612Z test_correctness_with_reusing_ir_le_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.013s) 2022-11-23T01:41:49.9612934Z test_correctness_with_reusing_ir_log2_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.005s) 2022-11-23T01:41:49.9613267Z test_correctness_with_reusing_ir_log_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.005s) 2022-11-23T01:41:49.9613611Z test_correctness_with_reusing_ir_logsumexp_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.461s) 2022-11-23T01:41:49.9613958Z test_correctness_with_reusing_ir_lt_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.013s) 2022-11-23T01:41:49.9614291Z test_correctness_with_reusing_ir_masked_fill_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.013s) 2022-11-23T01:41:49.9614646Z test_correctness_with_reusing_ir_max_binary_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.013s) 2022-11-23T01:41:49.9615021Z test_correctness_with_reusing_ir_max_pool2d_with_indices_backward_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (1.780s) 2022-11-23T01:41:49.9615393Z test_correctness_with_reusing_ir_max_reduction_no_dim_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.006s) 2022-11-23T01:41:49.9615767Z test_correctness_with_reusing_ir_max_reduction_with_dim_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-11-23T01:41:49.9616126Z test_correctness_with_reusing_ir_maximum_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.011s) 2022-11-23T01:41:49.9616471Z test_correctness_with_reusing_ir_mean_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.021s) 2022-11-23T01:41:49.9616805Z test_correctness_with_reusing_ir_min_binary_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.011s) 2022-11-23T01:41:49.9617167Z test_correctness_with_reusing_ir_min_reduction_no_dim_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9617540Z test_correctness_with_reusing_ir_min_reduction_with_dim_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9617897Z test_correctness_with_reusing_ir_minimum_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.011s) 2022-11-23T01:41:49.9618224Z test_correctness_with_reusing_ir_mm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9618560Z test_correctness_with_reusing_ir_mul_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.011s) 2022-11-23T01:41:49.9619135Z test_correctness_with_reusing_ir_mv_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9619504Z test_correctness_with_reusing_ir_narrow_copy_cpu_float32 (__main__.TestLazyOpInfoCPU) ... expected failure (0.008s) 2022-11-23T01:41:49.9619878Z test_correctness_with_reusing_ir_native_batch_norm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.019s) 2022-11-23T01:41:49.9620337Z test_correctness_with_reusing_ir_native_dropout_backward_cpu_float32 (__main__.TestLazyOpInfoCPU) ... expected failure (0.006s) 2022-11-23T01:41:49.9620727Z test_correctness_with_reusing_ir_native_layer_norm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.021s) 2022-11-23T01:41:49.9621063Z test_correctness_with_reusing_ir_ne_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.012s) 2022-11-23T01:41:49.9621397Z test_correctness_with_reusing_ir_neg_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9621762Z test_correctness_with_reusing_ir_new_empty_strided_cpu_float32 (__main__.TestLazyOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:41:49.9622172Z test_correctness_with_reusing_ir_norm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.029s) 2022-11-23T01:41:49.9622505Z test_correctness_with_reusing_ir_norm_fro_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-11-23T01:41:49.9622853Z test_correctness_with_reusing_ir_norm_inf_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-11-23T01:41:49.9623196Z test_correctness_with_reusing_ir_norm_nuc_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.005s) 2022-11-23T01:41:49.9623546Z test_correctness_with_reusing_ir_reciprocal_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-11-23T01:41:49.9623887Z test_correctness_with_reusing_ir_remainder_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.014s) 2022-11-23T01:41:49.9624235Z test_correctness_with_reusing_ir_repeat_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.038s) 2022-11-23T01:41:49.9624574Z test_correctness_with_reusing_ir_rsqrt_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.005s) 2022-11-23T01:41:49.9624912Z test_correctness_with_reusing_ir_scatter_add_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.031s) 2022-11-23T01:41:49.9625273Z test_correctness_with_reusing_ir_select_scatter_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.007s) 2022-11-23T01:41:49.9625623Z test_correctness_with_reusing_ir_sgn_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9625965Z test_correctness_with_reusing_ir_sigmoid_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-11-23T01:41:49.9626305Z test_correctness_with_reusing_ir_slice_scatter_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.017s) 2022-11-23T01:41:49.9626652Z test_correctness_with_reusing_ir_sort_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.027s) 2022-11-23T01:41:49.9626987Z test_correctness_with_reusing_ir_sqrt_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9627324Z test_correctness_with_reusing_ir_stack_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.013s) 2022-11-23T01:41:49.9627646Z test_correctness_with_reusing_ir_std_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.010s) 2022-11-23T01:41:49.9627975Z test_correctness_with_reusing_ir_sub_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.013s) 2022-11-23T01:41:49.9628387Z test_correctness_with_reusing_ir_sum_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.019s) 2022-11-23T01:41:49.9628714Z test_correctness_with_reusing_ir_tanh_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9629050Z test_correctness_with_reusing_ir_topk_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.009s) 2022-11-23T01:41:49.9629389Z test_correctness_with_reusing_ir_trace_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9629725Z test_correctness_with_reusing_ir_tril_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.009s) 2022-11-23T01:41:49.9630044Z test_correctness_with_reusing_ir_triu_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.009s) 2022-11-23T01:41:49.9630379Z test_correctness_with_reusing_ir_trunc_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9630723Z test_correctness_with_reusing_ir_unfold_copy_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.034s) 2022-11-23T01:41:49.9631105Z test_correctness_with_reusing_ir_view_copy_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.009s) 2022-11-23T01:41:49.9631451Z test_dispatched_to_lazy__softmax_backward_data_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9631792Z test_dispatched_to_lazy_abs_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s) 2022-11-23T01:41:49.9632114Z test_dispatched_to_lazy_add_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-11-23T01:41:49.9632429Z test_dispatched_to_lazy_addcdiv_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.014s) 2022-11-23T01:41:49.9632758Z test_dispatched_to_lazy_addcmul_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.011s) 2022-11-23T01:41:49.9633119Z test_dispatched_to_lazy_addmm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-11-23T01:41:49.9633463Z test_dispatched_to_lazy_addmm_decomposed_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9633811Z test_dispatched_to_lazy_arange_cpu_float32 (__main__.TestLazyOpInfoCPU) ... expected failure (0.002s) 2022-11-23T01:41:49.9634170Z test_dispatched_to_lazy_as_strided_scatter_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-11-23T01:41:49.9634510Z test_dispatched_to_lazy_baddbmm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-11-23T01:41:49.9634841Z test_dispatched_to_lazy_bernoulli_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.006s) 2022-11-23T01:41:49.9635153Z test_dispatched_to_lazy_bmm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9635474Z test_dispatched_to_lazy_cat_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-11-23T01:41:49.9635793Z test_dispatched_to_lazy_clamp_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9636131Z test_dispatched_to_lazy_clamp_min_cpu_float32 (__main__.TestLazyOpInfoCPU) ... expected failure (0.004s) 2022-11-23T01:41:49.9636484Z test_dispatched_to_lazy_constant_pad_nd_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.008s) 2022-11-23T01:41:49.9636819Z test_dispatched_to_lazy_cos_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9637141Z test_dispatched_to_lazy_cumsum_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9637466Z test_dispatched_to_lazy_diagonal_copy_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-11-23T01:41:49.9637814Z test_dispatched_to_lazy_diagonal_scatter_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.007s) 2022-11-23T01:41:49.9638169Z test_dispatched_to_lazy_div_floor_rounding_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.007s) 2022-11-23T01:41:49.9638509Z test_dispatched_to_lazy_div_no_rounding_mode_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.007s) 2022-11-23T01:41:49.9638863Z test_dispatched_to_lazy_div_trunc_rounding_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.007s) 2022-11-23T01:41:49.9639244Z test_dispatched_to_lazy_empty_cpu_float32 (__main__.TestLazyOpInfoCPU) ... skip: Expected: empty is not comparable (0.001s) 2022-11-23T01:41:49.9639608Z test_dispatched_to_lazy_eq_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9639918Z test_dispatched_to_lazy_exp_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s) 2022-11-23T01:41:49.9640238Z test_dispatched_to_lazy_flip_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9640562Z test_dispatched_to_lazy_floor_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s) 2022-11-23T01:41:49.9640882Z test_dispatched_to_lazy_frac_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s) 2022-11-23T01:41:49.9641191Z test_dispatched_to_lazy_gather_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.012s) 2022-11-23T01:41:49.9641512Z test_dispatched_to_lazy_ge_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-11-23T01:41:49.9641845Z test_dispatched_to_lazy_grid_sampler_2d_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.006s) 2022-11-23T01:41:49.9642161Z test_dispatched_to_lazy_gt_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-11-23T01:41:49.9642511Z test_dispatched_to_lazy_le_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-11-23T01:41:49.9642833Z test_dispatched_to_lazy_log2_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s) 2022-11-23T01:41:49.9643154Z test_dispatched_to_lazy_log_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s) 2022-11-23T01:41:49.9643457Z test_dispatched_to_lazy_lt_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-11-23T01:41:49.9643785Z test_dispatched_to_lazy_masked_fill_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-11-23T01:41:49.9644117Z test_dispatched_to_lazy_max_binary_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9644513Z test_dispatched_to_lazy_max_pool2d_with_indices_backward_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.122s) 2022-11-23T01:41:49.9644882Z test_dispatched_to_lazy_max_reduction_no_dim_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s) 2022-11-23T01:41:49.9645241Z test_dispatched_to_lazy_max_reduction_with_dim_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9645583Z test_dispatched_to_lazy_maximum_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9645895Z test_dispatched_to_lazy_mean_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-11-23T01:41:49.9646224Z test_dispatched_to_lazy_min_binary_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-11-23T01:41:49.9646571Z test_dispatched_to_lazy_min_reduction_no_dim_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s) 2022-11-23T01:41:49.9646906Z test_dispatched_to_lazy_minimum_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9647221Z test_dispatched_to_lazy_mm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9647541Z test_dispatched_to_lazy_mul_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-11-23T01:41:49.9647953Z test_dispatched_to_lazy_mv_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9648322Z test_dispatched_to_lazy_native_batch_norm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.006s) 2022-11-23T01:41:49.9648696Z test_dispatched_to_lazy_native_dropout_backward_cpu_float32 (__main__.TestLazyOpInfoCPU) ... skip: Skipped! (0.001s) 2022-11-23T01:41:49.9649067Z test_dispatched_to_lazy_native_layer_norm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-11-23T01:41:49.9649395Z test_dispatched_to_lazy_ne_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-11-23T01:41:49.9649703Z test_dispatched_to_lazy_neg_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s) 2022-11-23T01:41:49.9650028Z test_dispatched_to_lazy_norm_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.006s) 2022-11-23T01:41:49.9650355Z test_dispatched_to_lazy_norm_fro_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9650682Z test_dispatched_to_lazy_norm_inf_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9650992Z test_dispatched_to_lazy_pow_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-11-23T01:41:49.9651320Z test_dispatched_to_lazy_reciprocal_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s) 2022-11-23T01:41:49.9651657Z test_dispatched_to_lazy_remainder_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.007s) 2022-11-23T01:41:49.9651975Z test_dispatched_to_lazy_repeat_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.005s) 2022-11-23T01:41:49.9652301Z test_dispatched_to_lazy_rsqrt_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s) 2022-11-23T01:41:49.9652633Z test_dispatched_to_lazy_scatter_add_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.016s) 2022-11-23T01:41:49.9652978Z test_dispatched_to_lazy_select_scatter_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9653295Z test_dispatched_to_lazy_sgn_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s) 2022-11-23T01:41:49.9653661Z test_dispatched_to_lazy_sigmoid_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s) 2022-11-23T01:41:49.9654001Z test_dispatched_to_lazy_slice_scatter_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.005s) 2022-11-23T01:41:49.9654321Z test_dispatched_to_lazy_sort_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.007s) 2022-11-23T01:41:49.9654642Z test_dispatched_to_lazy_sqrt_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s) 2022-11-23T01:41:49.9654966Z test_dispatched_to_lazy_stack_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9655286Z test_dispatched_to_lazy_std_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9655621Z test_dispatched_to_lazy_sub_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-11-23T01:41:49.9655941Z test_dispatched_to_lazy_sum_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-11-23T01:41:49.9656259Z test_dispatched_to_lazy_tanh_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s) 2022-11-23T01:41:49.9656579Z test_dispatched_to_lazy_topk_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9656893Z test_dispatched_to_lazy_trace_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s) 2022-11-23T01:41:49.9657213Z test_dispatched_to_lazy_tril_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9657526Z test_dispatched_to_lazy_triu_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9657835Z test_dispatched_to_lazy_trunc_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.002s) 2022-11-23T01:41:49.9658165Z test_dispatched_to_lazy_unfold_copy_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.004s) 2022-11-23T01:41:49.9658500Z test_dispatched_to_lazy_view_copy_cpu_float32 (__main__.TestLazyOpInfoCPU) ... ok (0.003s) 2022-11-23T01:41:49.9659075Z testConvolutionBackward (__main__.TestLazyTensor) ... skip: Disable until autograd supports symints (0.001s) 2022-11-23T01:41:49.9659395Z test_tensor_ctr (__main__.TestLazyTensor) ... ok (0.002s) 2022-11-23T01:41:49.9659673Z test_view_mark_step_preserved (__main__.TestLazyTensor) ... ok (0.003s) 2022-11-23T01:41:49.9659840Z 2022-11-23T01:41:49.9660126Z ---------------------------------------------------------------------- 2022-11-23T01:41:49.9660359Z Ran 258 tests in 7.474s 2022-11-23T01:41:49.9660472Z 2022-11-23T01:41:49.9660566Z OK (skipped=9, expected failures=6) 2022-11-23T01:41:49.9660699Z 2022-11-23T01:41:49.9660784Z Generating XML reports... 2022-11-23T01:41:49.9661224Z Generated XML report: test-reports/python-unittest/lazy.test_ts_opinfo/TEST-TestLazyDynamicOps-20221123014142.xml 2022-11-23T01:41:49.9661751Z Generated XML report: test-reports/python-unittest/lazy.test_ts_opinfo/TEST-TestLazyOpInfoCPU-20221123014142.xml 2022-11-23T01:41:49.9662267Z Generated XML report: test-reports/python-unittest/lazy.test_ts_opinfo/TEST-TestLazyTensor-20221123014142.xml 2022-11-23T01:41:49.9662496Z 2022-11-23T01:41:49.9662826Z ##[endgroup] 2022-11-23T01:41:49.9663218Z FINISHED PRINTING LOG FILE of lazy/test_ts_opinfo (/var/lib/jenkins/workspace/test/test-reports/lazy-test_ts_opinfo_25992v8z) 2022-11-23T01:41:49.9663437Z 2022-11-23T01:41:51.8346362Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:41:51.9742674Z Ignoring disabled issues: [] 2022-11-23T01:41:51.9907614Z Running nn/test_embedding ... [2022-11-23 01:41:51.990435] 2022-11-23T01:41:51.9909074Z Executing ['/opt/conda/bin/python', '-bb', 'nn/test_embedding.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:41:51.990693] 2022-11-23T01:41:52.8387605Z 2022-11-23T01:41:52.8388441Z Expand the folded group to see the log file of test_stateless 2022-11-23T01:41:52.8389379Z ##[group]PRINTING LOG FILE of test_stateless (/var/lib/jenkins/workspace/test/test-reports/test_stateless_xbke0uwt) 2022-11-23T01:41:52.8390226Z Test results will be stored in test-reports/python-unittest/test_stateless 2022-11-23T01:41:52.8390446Z 2022-11-23T01:41:52.8390554Z Running tests... 2022-11-23T01:41:52.8391093Z ---------------------------------------------------------------------- 2022-11-23T01:41:52.8391419Z test_runs_with_optimize_flag (__main__.TestPythonOptimizeMode) ... ok (3.638s) 2022-11-23T01:41:52.8391750Z test_private_stateless_warns (__main__.TestStatelessDeprecation) ... ok (1.299s) 2022-11-23T01:41:52.8392076Z test_circular_references (__main__.TestStatelessFunctionalAPI) ... ok (0.009s) 2022-11-23T01:41:52.8392408Z test_functional_batch_norm (__main__.TestStatelessFunctionalAPI) ... ok (0.005s) 2022-11-23T01:41:52.8392735Z test_functional_call (__main__.TestStatelessFunctionalAPI) ... ok (0.003s) 2022-11-23T01:41:52.8393271Z test_functional_call_with_data_parallel (__main__.TestStatelessFunctionalAPI) ... skip: multi-GPU not supported (0.001s) 2022-11-23T01:41:52.8393658Z test_functional_call_with_gradient (__main__.TestStatelessFunctionalAPI) ... ok (0.003s) 2022-11-23T01:41:52.8394006Z test_functional_call_with_jit (__main__.TestStatelessFunctionalAPI) ... ok (0.080s) 2022-11-23T01:41:52.8394371Z test_reparamertize_module_fail_reset_to_original (__main__.TestStatelessFunctionalAPI) ... ok (0.010s) 2022-11-23T01:41:52.8394761Z test_reparametrized_module_change_parametrization_original (__main__.TestStatelessFunctionalAPI) ... ok (0.004s) 2022-11-23T01:41:52.8395117Z test_setattr (__main__.TestStatelessFunctionalAPI) ... ok (0.002s) 2022-11-23T01:41:52.8395433Z test_tied_weights_warns (__main__.TestStatelessFunctionalAPI) ... ok (0.003s) 2022-11-23T01:41:52.8395614Z 2022-11-23T01:41:52.8395804Z ---------------------------------------------------------------------- 2022-11-23T01:41:52.8396048Z Ran 12 tests in 5.057s 2022-11-23T01:41:52.8396162Z 2022-11-23T01:41:52.8396234Z OK (skipped=1) 2022-11-23T01:41:52.8396340Z 2022-11-23T01:41:52.8396424Z Generating XML reports... 2022-11-23T01:41:52.8396846Z Generated XML report: test-reports/python-unittest/test_stateless/TEST-TestPythonOptimizeMode-20221123014147.xml 2022-11-23T01:41:52.8397406Z Generated XML report: test-reports/python-unittest/test_stateless/TEST-TestStatelessDeprecation-20221123014147.xml 2022-11-23T01:41:52.8397973Z Generated XML report: test-reports/python-unittest/test_stateless/TEST-TestStatelessFunctionalAPI-20221123014147.xml 2022-11-23T01:41:52.8398228Z 2022-11-23T01:41:52.8398471Z ##[endgroup] 2022-11-23T01:41:52.8398852Z FINISHED PRINTING LOG FILE of test_stateless (/var/lib/jenkins/workspace/test/test-reports/test_stateless_xbke0uwt) 2022-11-23T01:41:52.8399068Z 2022-11-23T01:41:54.7006484Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:41:54.8371494Z Ignoring disabled issues: [] 2022-11-23T01:41:54.8536915Z Running test_mkl_verbose ... [2022-11-23 01:41:54.853434] 2022-11-23T01:41:54.8539355Z Executing ['/opt/conda/bin/python', '-bb', 'test_mkl_verbose.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:41:54.853694] 2022-11-23T01:41:59.0114896Z 2022-11-23T01:41:59.0115554Z Expand the folded group to see the log file of nn/test_embedding 2022-11-23T01:41:59.0116656Z ##[group]PRINTING LOG FILE of nn/test_embedding (/var/lib/jenkins/workspace/test/test-reports/nn-test_embedding_2_dvlqey) 2022-11-23T01:41:59.0117537Z Test results will be stored in test-reports/python-unittest/nn.test_embedding 2022-11-23T01:41:59.0117720Z 2022-11-23T01:41:59.0117792Z Running tests... 2022-11-23T01:41:59.0118085Z ---------------------------------------------------------------------- 2022-11-23T01:41:59.0118399Z test_embedding_bag_from_pretrained (__main__.TestEmbeddingNN) ... ok (0.003s) 2022-11-23T01:41:59.0118727Z test_embedding_bag_from_pretrained_padding_idx (__main__.TestEmbeddingNN) ... ok (0.001s) 2022-11-23T01:41:59.0119043Z test_embedding_bag_functional (__main__.TestEmbeddingNN) ... ok (0.002s) 2022-11-23T01:41:59.0119350Z test_embedding_bag_padding_idx_error (__main__.TestEmbeddingNN) ... ok (0.012s) 2022-11-23T01:41:59.0119667Z test_embedding_from_pretrained_float32 (__main__.TestEmbeddingNN) ... ok (0.001s) 2022-11-23T01:41:59.0120176Z test_embedding_from_pretrained_float64 (__main__.TestEmbeddingNN) ... ok (0.001s) 2022-11-23T01:41:59.0120478Z test_embedding_from_pretrained_int16 (__main__.TestEmbeddingNN) ... ok (0.001s) 2022-11-23T01:41:59.0120784Z test_embedding_from_pretrained_int32 (__main__.TestEmbeddingNN) ... ok (0.001s) 2022-11-23T01:41:59.0121085Z test_embedding_from_pretrained_int64 (__main__.TestEmbeddingNN) ... ok (0.001s) 2022-11-23T01:41:59.0121379Z test_embedding_from_pretrained_int8 (__main__.TestEmbeddingNN) ... ok (0.001s) 2022-11-23T01:41:59.0121693Z test_embedding_from_pretrained_options (__main__.TestEmbeddingNN) ... ok (0.002s) 2022-11-23T01:41:59.0122093Z test_embedding_from_pretrained_padding_idx (__main__.TestEmbeddingNN) ... ok (0.001s) 2022-11-23T01:41:59.0122409Z test_embedding_from_pretrained_uint8 (__main__.TestEmbeddingNN) ... ok (0.001s) 2022-11-23T01:41:59.0122694Z test_embedding_functional (__main__.TestEmbeddingNN) ... ok (0.002s) 2022-11-23T01:41:59.0122980Z test_embedding_max_norm (__main__.TestEmbeddingNN) ... ok (0.001s) 2022-11-23T01:41:59.0123318Z test_embedding_max_norm_unsorted_repeating_indices (__main__.TestEmbeddingNN) ... skip: CUDA unavailable (0.001s) 2022-11-23T01:41:59.0123642Z test_embedding_sparse_basic (__main__.TestEmbeddingNN) ... ok (0.001s) 2022-11-23T01:41:59.0123942Z test_embedding_sparse_empty_tensor (__main__.TestEmbeddingNN) ... ok (0.002s) 2022-11-23T01:41:59.0124245Z test_embeddingbag_from_pretrained (__main__.TestEmbeddingNN) ... ok (0.001s) 2022-11-23T01:41:59.0124566Z test_embeddingbag_from_pretrained_options (__main__.TestEmbeddingNN) ... ok (0.002s) 2022-11-23T01:41:59.0124867Z test_move_sparse_half_embedding (__main__.TestEmbeddingNN) ... ok (0.002s) 2022-11-23T01:41:59.0125249Z test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int32_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.005s) 2022-11-23T01:41:59.0125700Z test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s) 2022-11-23T01:41:59.0126143Z test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s) 2022-11-23T01:41:59.0126571Z test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int64_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s) 2022-11-23T01:41:59.0127004Z test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s) 2022-11-23T01:41:59.0127438Z test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s) 2022-11-23T01:41:59.0127875Z test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int32_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s) 2022-11-23T01:41:59.0128299Z test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s) 2022-11-23T01:41:59.0128729Z test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s) 2022-11-23T01:41:59.0129159Z test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int64_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s) 2022-11-23T01:41:59.0129591Z test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s) 2022-11-23T01:41:59.0130010Z test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s) 2022-11-23T01:41:59.0130447Z test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int32_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.020s) 2022-11-23T01:41:59.0130885Z test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.019s) 2022-11-23T01:41:59.0131349Z test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.017s) 2022-11-23T01:41:59.0131777Z test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int64_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.019s) 2022-11-23T01:41:59.0132209Z test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.019s) 2022-11-23T01:41:59.0132635Z test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.017s) 2022-11-23T01:41:59.0133094Z test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int32_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.040s) 2022-11-23T01:41:59.0133508Z test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.053s) 2022-11-23T01:41:59.0133931Z test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.026s) 2022-11-23T01:41:59.0134352Z test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int64_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.023s) 2022-11-23T01:41:59.0134774Z test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.019s) 2022-11-23T01:41:59.0135184Z test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.017s) 2022-11-23T01:41:59.0135607Z test_EmbeddingBag_per_sample_weights_and_no_offsets_cpu_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.020s) 2022-11-23T01:41:59.0136027Z test_EmbeddingBag_per_sample_weights_and_no_offsets_cpu_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.018s) 2022-11-23T01:41:59.0136444Z test_EmbeddingBag_per_sample_weights_and_no_offsets_cpu_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.019s) 2022-11-23T01:41:59.0136845Z test_EmbeddingBag_per_sample_weights_and_no_offsets_cpu_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.018s) 2022-11-23T01:41:59.0137261Z test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int32_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s) 2022-11-23T01:41:59.0137684Z test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s) 2022-11-23T01:41:59.0138108Z test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s) 2022-11-23T01:41:59.0138523Z test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int64_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s) 2022-11-23T01:41:59.0139149Z test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s) 2022-11-23T01:41:59.0139582Z test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s) 2022-11-23T01:41:59.0140004Z test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int32_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s) 2022-11-23T01:41:59.0140411Z test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s) 2022-11-23T01:41:59.0140829Z test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s) 2022-11-23T01:41:59.0141256Z test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int64_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s) 2022-11-23T01:41:59.0141672Z test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s) 2022-11-23T01:41:59.0142135Z test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s) 2022-11-23T01:41:59.0142555Z test_EmbeddingBag_per_sample_weights_failures_cpu_int32_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.009s) 2022-11-23T01:41:59.0142964Z test_EmbeddingBag_per_sample_weights_failures_cpu_int32_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.008s) 2022-11-23T01:41:59.0143371Z test_EmbeddingBag_per_sample_weights_failures_cpu_int64_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.008s) 2022-11-23T01:41:59.0143765Z test_EmbeddingBag_per_sample_weights_failures_cpu_int64_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.008s) 2022-11-23T01:41:59.0144183Z test_embedding_backward_cpu_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.003s) 2022-11-23T01:41:59.0144555Z test_embedding_bag_1D_padding_idx_cpu_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.788s) 2022-11-23T01:41:59.0144934Z test_embedding_bag_1D_padding_idx_cpu_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.760s) 2022-11-23T01:41:59.0145298Z test_embedding_bag_2D_padding_idx_cpu_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.067s) 2022-11-23T01:41:59.0145667Z test_embedding_bag_2D_padding_idx_cpu_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.064s) 2022-11-23T01:41:59.0146057Z test_embedding_bag_bfloat16_cpu_int32_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:41:59.0146452Z test_embedding_bag_bfloat16_cpu_int32_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:41:59.0146850Z test_embedding_bag_bfloat16_cpu_int64_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:41:59.0147257Z test_embedding_bag_bfloat16_cpu_int64_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:41:59.0147648Z test_embedding_bag_device_cpu_int32_int32_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.181s) 2022-11-23T01:41:59.0148018Z test_embedding_bag_device_cpu_int32_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.180s) 2022-11-23T01:41:59.0148476Z test_embedding_bag_device_cpu_int32_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.182s) 2022-11-23T01:41:59.0148857Z test_embedding_bag_device_cpu_int32_int64_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.181s) 2022-11-23T01:41:59.0149225Z test_embedding_bag_device_cpu_int32_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.181s) 2022-11-23T01:41:59.0149584Z test_embedding_bag_device_cpu_int32_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.218s) 2022-11-23T01:41:59.0149963Z test_embedding_bag_device_cpu_int64_int32_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.182s) 2022-11-23T01:41:59.0150334Z test_embedding_bag_device_cpu_int64_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.181s) 2022-11-23T01:41:59.0150705Z test_embedding_bag_device_cpu_int64_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.182s) 2022-11-23T01:41:59.0151061Z test_embedding_bag_device_cpu_int64_int64_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.182s) 2022-11-23T01:41:59.0151436Z test_embedding_bag_device_cpu_int64_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.182s) 2022-11-23T01:41:59.0151803Z test_embedding_bag_device_cpu_int64_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.182s) 2022-11-23T01:41:59.0152173Z test_embedding_bag_empty_input_cpu_int32_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.003s) 2022-11-23T01:41:59.0152539Z test_embedding_bag_empty_input_cpu_int32_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.003s) 2022-11-23T01:41:59.0152914Z test_embedding_bag_empty_input_cpu_int64_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.003s) 2022-11-23T01:41:59.0153325Z test_embedding_bag_empty_input_cpu_int64_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.003s) 2022-11-23T01:41:59.0153682Z test_embedding_bag_half_cpu_int32_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.043s) 2022-11-23T01:41:59.0154043Z test_embedding_bag_half_cpu_int32_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.043s) 2022-11-23T01:41:59.0154400Z test_embedding_bag_half_cpu_int64_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.044s) 2022-11-23T01:41:59.0154750Z test_embedding_bag_half_cpu_int64_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.069s) 2022-11-23T01:41:59.0155123Z test_embedding_bag_non_contiguous_weight_cpu_int32_int32_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s) 2022-11-23T01:41:59.0155563Z test_embedding_bag_non_contiguous_weight_cpu_int32_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.004s) 2022-11-23T01:41:59.0155965Z test_embedding_bag_non_contiguous_weight_cpu_int32_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.003s) 2022-11-23T01:41:59.0156369Z test_embedding_bag_non_contiguous_weight_cpu_int32_int64_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.003s) 2022-11-23T01:41:59.0156755Z test_embedding_bag_non_contiguous_weight_cpu_int32_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T01:41:59.0157162Z test_embedding_bag_non_contiguous_weight_cpu_int32_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T01:41:59.0157558Z test_embedding_bag_non_contiguous_weight_cpu_int64_int32_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T01:41:59.0157953Z test_embedding_bag_non_contiguous_weight_cpu_int64_int32_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T01:41:59.0158339Z test_embedding_bag_non_contiguous_weight_cpu_int64_int32_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T01:41:59.0158740Z test_embedding_bag_non_contiguous_weight_cpu_int64_int64_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T01:41:59.0159139Z test_embedding_bag_non_contiguous_weight_cpu_int64_int64_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T01:41:59.0159535Z test_embedding_bag_non_contiguous_weight_cpu_int64_int64_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T01:41:59.0159934Z test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_max_cpu_float32_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.013s) 2022-11-23T01:41:59.0160365Z test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_max_cpu_float32_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.013s) 2022-11-23T01:41:59.0160794Z test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_max_cpu_float64_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.013s) 2022-11-23T01:41:59.0161218Z test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_max_cpu_float64_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.013s) 2022-11-23T01:41:59.0161638Z test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_mean_cpu_float32_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.013s) 2022-11-23T01:41:59.0162065Z test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_mean_cpu_float32_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.013s) 2022-11-23T01:41:59.0162491Z test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_mean_cpu_float64_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.013s) 2022-11-23T01:41:59.0162913Z test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_mean_cpu_float64_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.013s) 2022-11-23T01:41:59.0163327Z test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_sum_cpu_float32_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.025s) 2022-11-23T01:41:59.0163750Z test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_sum_cpu_float32_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.025s) 2022-11-23T01:41:59.0164198Z test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_sum_cpu_float64_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.024s) 2022-11-23T01:41:59.0164618Z test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_sum_cpu_float64_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.023s) 2022-11-23T01:41:59.0165034Z test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_max_cpu_float32_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.013s) 2022-11-23T01:41:59.0165468Z test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_max_cpu_float32_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.013s) 2022-11-23T01:41:59.0165896Z test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_max_cpu_float64_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.013s) 2022-11-23T01:41:59.0166352Z test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_max_cpu_float64_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.013s) 2022-11-23T01:41:59.0166770Z test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_mean_cpu_float32_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.013s) 2022-11-23T01:41:59.0167202Z test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_mean_cpu_float32_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.013s) 2022-11-23T01:41:59.0167628Z test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_mean_cpu_float64_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.013s) 2022-11-23T01:41:59.0168051Z test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_mean_cpu_float64_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.012s) 2022-11-23T01:41:59.0168462Z test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_sum_cpu_float32_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.025s) 2022-11-23T01:41:59.0168892Z test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_sum_cpu_float32_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.025s) 2022-11-23T01:41:59.0169323Z test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_sum_cpu_float64_int32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.024s) 2022-11-23T01:41:59.0169746Z test_embedding_bag_out_of_bounds_idx_padding_idx_None_mode_sum_cpu_float64_int64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.023s) 2022-11-23T01:41:59.0170116Z test_embedding_dense_grad_cpu (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.005s) 2022-11-23T01:41:59.0170481Z test_embedding_max_norm_backward_cpu_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T01:41:59.0170874Z test_embedding_max_norm_device_cpu_float16 (__main__.TestEmbeddingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:41:59.0171281Z test_embedding_max_norm_device_cpu_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:41:59.0171675Z test_embedding_max_norm_device_cpu_float64 (__main__.TestEmbeddingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:41:59.0172061Z test_embedding_max_norm_fwd_AD_cpu_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.049s) 2022-11-23T01:41:59.0172435Z test_embedding_padding_idx_cpu_float32 (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.012s) 2022-11-23T01:41:59.0172800Z test_embedding_scalar_weight_error_cpu (__main__.TestEmbeddingNNDeviceTypeCPU) ... ok (0.009s) 2022-11-23T01:41:59.0172990Z 2022-11-23T01:41:59.0173231Z ---------------------------------------------------------------------- 2022-11-23T01:41:59.0173473Z Ran 138 tests in 5.167s 2022-11-23T01:41:59.0173585Z 2022-11-23T01:41:59.0173657Z OK (skipped=8) 2022-11-23T01:41:59.0173763Z 2022-11-23T01:41:59.0173834Z Generating XML reports... 2022-11-23T01:41:59.0174264Z Generated XML report: test-reports/python-unittest/nn.test_embedding/TEST-TestEmbeddingNN-20221123014153.xml 2022-11-23T01:41:59.0174830Z Generated XML report: test-reports/python-unittest/nn.test_embedding/TEST-TestEmbeddingNNDeviceTypeCPU-20221123014153.xml 2022-11-23T01:41:59.0175094Z 2022-11-23T01:41:59.0175363Z ##[endgroup] 2022-11-23T01:41:59.0175785Z FINISHED PRINTING LOG FILE of nn/test_embedding (/var/lib/jenkins/workspace/test/test-reports/nn-test_embedding_2_dvlqey) 2022-11-23T01:41:59.0176004Z 2022-11-23T01:41:59.5662186Z 2022-11-23T01:41:59.5662824Z Expand the folded group to see the log file of test_mkl_verbose 2022-11-23T01:41:59.5664155Z ##[group]PRINTING LOG FILE of test_mkl_verbose (/var/lib/jenkins/workspace/test/test-reports/test_mkl_verbose_oxu1_1on) 2022-11-23T01:41:59.5665151Z Test results will be stored in test-reports/python-unittest/test_mkl_verbose 2022-11-23T01:41:59.5665495Z 2022-11-23T01:41:59.5665614Z Running tests... 2022-11-23T01:41:59.5665920Z ---------------------------------------------------------------------- 2022-11-23T01:41:59.5666395Z test_verbose_off (__main__.TestMKLVerbose) ... ok (1.613s) 2022-11-23T01:41:59.5666660Z test_verbose_on (__main__.TestMKLVerbose) ... ok (1.491s) 2022-11-23T01:41:59.5666807Z 2022-11-23T01:41:59.5667011Z ---------------------------------------------------------------------- 2022-11-23T01:41:59.5667246Z Ran 2 tests in 3.104s 2022-11-23T01:41:59.5667360Z 2022-11-23T01:41:59.5667420Z OK 2022-11-23T01:41:59.5667511Z 2022-11-23T01:41:59.5667596Z Generating XML reports... 2022-11-23T01:41:59.5668007Z Generated XML report: test-reports/python-unittest/test_mkl_verbose/TEST-TestMKLVerbose-20221123014156.xml 2022-11-23T01:41:59.5668238Z 2022-11-23T01:41:59.5668558Z ##[endgroup] 2022-11-23T01:41:59.5668948Z FINISHED PRINTING LOG FILE of test_mkl_verbose (/var/lib/jenkins/workspace/test/test-reports/test_mkl_verbose_oxu1_1on) 2022-11-23T01:41:59.5669169Z 2022-11-23T01:42:00.9688735Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:42:01.1088280Z Ignoring disabled issues: [] 2022-11-23T01:42:01.1251876Z Running dynamo/test_misc ... [2022-11-23 01:42:01.124892] 2022-11-23T01:42:01.1253727Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_misc.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:42:01.125136] 2022-11-23T01:42:01.5306138Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:42:01.6524669Z Ignoring disabled issues: [] 2022-11-23T01:42:01.6690503Z Running test_mkldnn_verbose ... [2022-11-23 01:42:01.668712] 2022-11-23T01:42:01.6691650Z Executing ['/opt/conda/bin/python', '-bb', 'test_mkldnn_verbose.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:42:01.668979] 2022-11-23T01:42:06.1112086Z 2022-11-23T01:42:06.1112655Z Expand the folded group to see the log file of test_mkldnn_verbose 2022-11-23T01:42:06.1113813Z ##[group]PRINTING LOG FILE of test_mkldnn_verbose (/var/lib/jenkins/workspace/test/test-reports/test_mkldnn_verbose_wuer6qvy) 2022-11-23T01:42:06.1114837Z Test results will be stored in test-reports/python-unittest/test_mkldnn_verbose 2022-11-23T01:42:06.1115135Z 2022-11-23T01:42:06.1115261Z Running tests... 2022-11-23T01:42:06.1115756Z ---------------------------------------------------------------------- 2022-11-23T01:42:06.1116265Z test_verbose_off (__main__.TestMKLDNNVerbose) ... ok (1.533s) 2022-11-23T01:42:06.1116704Z test_verbose_on (__main__.TestMKLDNNVerbose) ... ok (1.337s) 2022-11-23T01:42:06.1116978Z 2022-11-23T01:42:06.1117312Z ---------------------------------------------------------------------- 2022-11-23T01:42:06.1117734Z Ran 2 tests in 2.871s 2022-11-23T01:42:06.1117904Z 2022-11-23T01:42:06.1118003Z OK 2022-11-23T01:42:06.1118140Z 2022-11-23T01:42:06.1118284Z Generating XML reports... 2022-11-23T01:42:06.1119048Z Generated XML report: test-reports/python-unittest/test_mkldnn_verbose/TEST-TestMKLDNNVerbose-20221123014202.xml 2022-11-23T01:42:06.1119505Z 2022-11-23T01:42:06.1119975Z ##[endgroup] 2022-11-23T01:42:06.1120759Z FINISHED PRINTING LOG FILE of test_mkldnn_verbose (/var/lib/jenkins/workspace/test/test-reports/test_mkldnn_verbose_wuer6qvy) 2022-11-23T01:42:06.1121198Z 2022-11-23T01:42:06.4328951Z 2022-11-23T01:42:06.4329435Z Expand the folded group to see the log file of dynamo/test_misc 2022-11-23T01:42:06.4330784Z ##[group]PRINTING LOG FILE of dynamo/test_misc (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_misc_bnsdsv34) 2022-11-23T01:42:06.4331569Z Test results will be stored in test-reports/python-unittest/dynamo.test_misc 2022-11-23T01:42:06.4331860Z 2022-11-23T01:42:06.4331973Z Running tests... 2022-11-23T01:42:06.4332434Z ---------------------------------------------------------------------- 2022-11-23T01:42:06.4332881Z test_allow_in_graph (__main__.MiscTests) ... ok (0.282s) 2022-11-23T01:42:06.4333411Z test_autocast (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:06.4333949Z stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:42:06.4334424Z skip: requires cuda (0.001s) 2022-11-23T01:42:06.4335004Z test_autocast_cpu (__main__.MiscTests) ... stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)] 2022-11-23T01:42:06.4335382Z ok (0.015s) 2022-11-23T01:42:06.4335775Z test_autocast_device (__main__.MiscTests) ... skip: requires cuda (0.001s) 2022-11-23T01:42:06.4336263Z test_autocast_float64 (__main__.MiscTests) ... skip: requires cuda (0.001s) 2022-11-23T01:42:06.4336768Z test_autograd_function_equivalence (__main__.MiscTests) ... inline_call [] 2022-11-23T01:42:06.4337352Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:42:06.4337724Z ok (0.110s) 2022-11-23T01:42:06.4342732Z test_autograd_profiler (__main__.MiscTests) ... STAGE:2022-11-23 01:42:03 6345:6345 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:42:06.4343619Z STAGE:2022-11-23 01:42:03 6345:6345 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:42:06.4344439Z STAGE:2022-11-23 01:42:03 6345:6345 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:42:06.4345209Z [2022-11-23 01:42:03,021] torch._dynamo.variables.torch: [WARNING] Profiler will be ignored 2022-11-23T01:42:06.4345700Z frames [('total', 3), ('ok', 3)] 2022-11-23T01:42:06.4345976Z unimplemented [] 2022-11-23T01:42:06.4346359Z graph_break [('Tensor.tolist', 1)] 2022-11-23T01:42:06.4346896Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:42:06.4347234Z ok (0.019s) 2022-11-23T01:42:06.4347976Z test_autograd_profiler_enabled (__main__.MiscTests) ... STAGE:2022-11-23 01:42:03 6345:6345 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:42:06.4348932Z STAGE:2022-11-23 01:42:03 6345:6345 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:42:06.4349718Z STAGE:2022-11-23 01:42:03 6345:6345 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:42:06.4350300Z frames [('total', 3), ('ok', 3)] 2022-11-23T01:42:06.4350664Z unimplemented [] 2022-11-23T01:42:06.4351250Z graph_break [('torch.autograd._profiler_enabled not supported yet', 1)] 2022-11-23T01:42:06.4351924Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:42:06.4352355Z ok (0.015s) 2022-11-23T01:42:06.4353037Z test_boolarg (__main__.MiscTests) ... stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)] 2022-11-23T01:42:06.4353508Z ok (0.013s) 2022-11-23T01:42:06.4353930Z test_build_tuple_unpack (__main__.MiscTests) ... inline_call [] 2022-11-23T01:42:06.4354580Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:42:06.4355010Z ok (0.015s) 2022-11-23T01:42:06.4355697Z test_builtin_isinstance (__main__.MiscTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:06.4356200Z ok (0.008s) 2022-11-23T01:42:06.4356655Z test_builtin_subclasses_as_method_on_class_type (__main__.MiscTests) ... ok (0.003s) 2022-11-23T01:42:06.4357224Z test_builtin_subclasses_as_method_on_var (__main__.MiscTests) ... ok (0.004s) 2022-11-23T01:42:06.4358043Z test_callpacked (__main__.MiscTests) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:42:06.4358543Z ok (0.013s) 2022-11-23T01:42:06.4359250Z test_cell_output1 (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:06.4359925Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:42:06.4360364Z ok (0.006s) 2022-11-23T01:42:06.4360905Z test_cell_output2 (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:42:06.4361326Z unimplemented [] 2022-11-23T01:42:06.4362079Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:42:06.4362878Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:42:06.4363377Z ok (0.011s) 2022-11-23T01:42:06.4364076Z test_change_backends (__main__.MiscTests) ... stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)] 2022-11-23T01:42:06.4364679Z frames [('total', 2), ('ok', 2)] 2022-11-23T01:42:06.4365004Z ok (0.089s) 2022-11-23T01:42:06.4365535Z test_cond (__main__.MiscTests) ... frames [('total', 5), ('ok', 5)] 2022-11-23T01:42:06.4365947Z unimplemented [] 2022-11-23T01:42:06.4366484Z graph_break [('Fake tensor mode not yet supported for cond', 2)] 2022-11-23T01:42:06.4367139Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:42:06.4367838Z ok (0.018s) 2022-11-23T01:42:06.4368537Z test_cond_export (__main__.MiscTests) ... stats [('calls_captured', 6), ('unique_graphs', 5), ('fusions_possible', 1)] 2022-11-23T01:42:06.4369026Z ok (0.026s) 2022-11-23T01:42:06.4369758Z test_cond_export_single_arg (__main__.MiscTests) ... stats [('unique_graphs', 3), ('calls_captured', 2), ('fusions_possible', -1)] 2022-11-23T01:42:06.4370285Z ok (0.014s) 2022-11-23T01:42:06.4370813Z test_cond_nested (__main__.MiscTests) ... frames [('total', 11), ('ok', 11)] 2022-11-23T01:42:06.4371257Z unimplemented [] 2022-11-23T01:42:06.4371809Z graph_break [('Fake tensor mode not yet supported for cond', 6)] 2022-11-23T01:42:06.4372473Z stats [('calls_captured', 4), ('unique_graphs', 4), ('fusions_possible', 0)] 2022-11-23T01:42:06.4372882Z ok (0.039s) 2022-11-23T01:42:06.4373460Z test_cond_nested_fake_tensor_off (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:06.4374154Z stats [('calls_captured', 6), ('unique_graphs', 5), ('fusions_possible', 1)] 2022-11-23T01:42:06.4374558Z ok (0.025s) 2022-11-23T01:42:06.4375133Z test_config_getattr_default (__main__.MiscTests) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:42:06.4375833Z stats [('calls_captured', 21), ('fusions_possible', 18), ('unique_graphs', 3)] 2022-11-23T01:42:06.4376242Z ok (0.039s) 2022-11-23T01:42:06.4376782Z test_config_log_level (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:06.4377466Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:06.4377890Z ok (0.006s) 2022-11-23T01:42:06.4378404Z test_config_obj (__main__.MiscTests) ... frames [('total', 4), ('ok', 4)] 2022-11-23T01:42:06.4379205Z stats [('calls_captured', 8), ('fusions_possible', 4), ('unique_graphs', 4)] 2022-11-23T01:42:06.4379635Z ok (0.025s) 2022-11-23T01:42:06.4380066Z test_const_dict_variable_python_type (__main__.MiscTests) ... ok (0.001s) 2022-11-23T01:42:06.4381235Z test_cross_entropy_loss_fancy_ctor (__main__.MiscTests) ... /opt/conda/lib/python3.7/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. 2022-11-23T01:42:06.4382030Z warnings.warn(warning.format(ret)) 2022-11-23T01:42:06.4382398Z ok (0.003s) 2022-11-23T01:42:06.4382818Z test_cross_entropy_loss_simple_ctor (__main__.MiscTests) ... ok (0.002s) 2022-11-23T01:42:06.4383489Z test_dataclass_fields (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:42:06.4383923Z inline_call [] 2022-11-23T01:42:06.4384475Z stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)] 2022-11-23T01:42:06.4384907Z ok (0.041s) 2022-11-23T01:42:06.4385633Z test_dict_mutation_side_effect (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:06.4386318Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:06.4386740Z ok (0.007s) 2022-11-23T01:42:06.4387385Z test_dict_reconstruct_keeps_original_order (__main__.MiscTests) ... frames [('total', 14), ('ok', 13)] 2022-11-23T01:42:06.4388268Z unimplemented [("Guard setup for uninitialized class ", 1)] 2022-11-23T01:42:06.4390148Z graph_break [('UnspecializedNNModuleVariable missing add_module', 3), ('construct nn.Module: ReLU', 1), ('call_function in skip_files /opt/conda/lib/python3.7/collections/__init__.py', 1), ('construct nn.Module: ModuleDict', 1), ('Patched init cannot be inlined.', 1), ('construct nn.Module: Linear', 1), ('construct nn.Module: Sigmoid', 1), ('call_method ConstDictVariable() update [TupleVariable()] {}', 1)] 2022-11-23T01:42:06.4391548Z inline_call [('inline __setitem__', 2), ('Patched init cannot be inlined.', 1)] 2022-11-23T01:42:06.4391988Z ok (0.055s) 2022-11-23T01:42:06.4392525Z test_dictcomp (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:06.4392924Z inline_call [] 2022-11-23T01:42:06.4393483Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:42:06.4393919Z ok (0.017s) 2022-11-23T01:42:06.4394312Z test_disable_optimize (__main__.MiscTests) ... ok (0.005s) 2022-11-23T01:42:06.4394962Z test_disallow_in_graph (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:42:06.4395409Z unimplemented [] 2022-11-23T01:42:06.4396115Z graph_break [('call_function UserDefinedObjectVariable(sub) [TensorVariable(), ConstantVariable(int)] {}', 1)] 2022-11-23T01:42:06.4396901Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:42:06.4397331Z ok (0.026s) 2022-11-23T01:42:06.4397740Z test_dunder_methods (__main__.MiscTests) ... inline_call [] 2022-11-23T01:42:06.4398368Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:42:06.4398789Z ok (0.033s) 2022-11-23T01:42:06.4399221Z test_duplicate_graph_break_warning (__main__.MiscTests) ... break 2022-11-23T01:42:06.4399616Z break 2022-11-23T01:42:06.4400005Z frames [('total', 9), ('ok', 9)] 2022-11-23T01:42:06.4400642Z inline_call [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 2)] 2022-11-23T01:42:06.4401106Z unimplemented [] 2022-11-23T01:42:06.4401726Z graph_break [('call_function BuiltinVariable(print) [ConstantVariable(str)] {}', 4)] 2022-11-23T01:42:06.4402431Z stats [('calls_captured', 6), ('unique_graphs', 4), ('fusions_possible', 2)] 2022-11-23T01:42:06.4402853Z ok (0.032s) 2022-11-23T01:42:06.4403280Z test_dynamo_min_operator_with_shape (__main__.MiscTests) ... ok (0.003s) 2022-11-23T01:42:06.4403938Z test_empty_list (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:42:06.4404596Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:42:06.4405004Z ok (0.010s) 2022-11-23T01:42:06.4405711Z test_enum_no_graphbreaks (__main__.MiscTests) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)] 2022-11-23T01:42:06.4406219Z ok (0.012s) 2022-11-23T01:42:06.4406786Z test_error_on_nested_fx_trace (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:06.4407467Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:06.4407892Z ok (0.005s) 2022-11-23T01:42:06.4408533Z test_fold (__main__.MiscTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:06.4409013Z ok (0.005s) 2022-11-23T01:42:06.4409752Z test_frozenset_torch_func_contains (__main__.MiscTests) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)] 2022-11-23T01:42:06.4410282Z ok (0.011s) 2022-11-23T01:42:06.4411066Z test_function_annotation (__main__.MiscTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:42:06.4411580Z ok (0.010s) 2022-11-23T01:42:06.4412245Z test_generate_tensor_from_list_of_numpy_primitive_type (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:42:06.4412728Z unimplemented [] 2022-11-23T01:42:06.4413144Z graph_break [('numpy', 1)] 2022-11-23T01:42:06.4413733Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:06.4414143Z ok (0.008s) 2022-11-23T01:42:06.4414650Z test_grad (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:42:06.4415066Z unimplemented [] 2022-11-23T01:42:06.4415519Z graph_break [('Tensor.backward', 1)] 2022-11-23T01:42:06.4416192Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:42:06.4416611Z ok (0.014s) 2022-11-23T01:42:06.4417165Z test_grad_mode_guard (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:42:06.4417582Z unimplemented [] 2022-11-23T01:42:06.4418028Z graph_break [('Tensor.tolist', 1)] 2022-11-23T01:42:06.4418639Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:42:06.4419214Z ok (0.014s) 2022-11-23T01:42:06.4419769Z test_graph_break (__main__.MiscTests) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:42:06.4420212Z unimplemented [] 2022-11-23T01:42:06.4420915Z graph_break [('call_function in skip_files /opt/conda/lib/python3.7/site-packages/torch/_dynamo/__init__.py', 2)] 2022-11-23T01:42:06.4421672Z stats [('calls_captured', 6), ('fusions_possible', 3), ('unique_graphs', 3)] 2022-11-23T01:42:06.4422101Z ok (0.019s) 2022-11-23T01:42:06.4422791Z test_id_of_nn_module (__main__.MiscTests) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)] 2022-11-23T01:42:06.4423288Z ok (0.012s) 2022-11-23T01:42:06.4423986Z test_if_cond_nn_mod (__main__.MiscTests) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)] 2022-11-23T01:42:06.4424488Z ok (0.012s) 2022-11-23T01:42:06.4425024Z test_inference_mode (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:06.4425692Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:42:06.4426120Z ok (0.006s) 2022-11-23T01:42:06.4426671Z test_inline_dict_mutation (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:06.4427115Z inline_call [] 2022-11-23T01:42:06.4427680Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:42:06.4428086Z ok (0.009s) 2022-11-23T01:42:06.4428785Z test_inline_func_jump_on_tensor_condition (__main__.MiscTests) ... frames [('total', 4), ('ok', 4)] 2022-11-23T01:42:06.4429428Z inline_call [('generic_jump TensorVariable()', 1)] 2022-11-23T01:42:06.4429862Z unimplemented [] 2022-11-23T01:42:06.4430356Z graph_break [('generic_jump TensorVariable()', 1)] 2022-11-23T01:42:06.4430991Z stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)] 2022-11-23T01:42:06.4431426Z ok (0.014s) 2022-11-23T01:42:06.4431998Z test_inline_list_mutation (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:06.4432436Z inline_call [] 2022-11-23T01:42:06.4432995Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:42:06.4433406Z ok (0.007s) 2022-11-23T01:42:06.4434066Z test_inplace (__main__.MiscTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:42:06.4434554Z ok (0.007s) 2022-11-23T01:42:06.4435248Z test_inplace_param_update (__main__.MiscTests) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:42:06.4435764Z ok (0.008s) 2022-11-23T01:42:06.4436469Z test_is_floating_point (__main__.MiscTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:42:06.4436972Z ok (0.007s) 2022-11-23T01:42:06.4437790Z test_is_floating_point2 (__main__.MiscTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:42:06.4438293Z ok (0.007s) 2022-11-23T01:42:06.4438957Z test_is_tensor (__main__.MiscTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:42:06.4439428Z ok (0.007s) 2022-11-23T01:42:06.4439957Z test_is_tensor2 (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:42:06.4440606Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:42:06.4441030Z ok (0.010s) 2022-11-23T01:42:06.4441712Z test_is_tensor_like (__main__.MiscTests) ... stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)] 2022-11-23T01:42:06.4442294Z ok (0.010s) 2022-11-23T01:42:06.4442847Z test_is_tensor_like2 (__main__.MiscTests) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:42:06.4443265Z unimplemented [] 2022-11-23T01:42:06.4443880Z graph_break [('call_function args: UserDefinedObjectVariable(MyTensor) ', 1)] 2022-11-23T01:42:06.4444597Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:42:06.4445004Z ok (0.012s) 2022-11-23T01:42:06.4445646Z test_item (__main__.MiscTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:42:06.4446120Z ok (0.008s) 2022-11-23T01:42:06.4446773Z test_item_changes (__main__.MiscTests) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:42:06.4447254Z ok (0.013s) 2022-11-23T01:42:06.4447955Z test_item_changes_new_shape (__main__.MiscTests) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:42:06.4448478Z ok (0.013s) 2022-11-23T01:42:06.4448873Z test_large_reduction_list (__main__.MiscTests) ... ok (0.011s) 2022-11-23T01:42:06.4449444Z test_linetable_writer (__main__.MiscTests) ... skip: use linetable when python >= 3.10 (0.001s) 2022-11-23T01:42:06.4450189Z test_list_append_return_none (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:06.4450845Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:06.4451274Z ok (0.006s) 2022-11-23T01:42:06.4451808Z test_list_mul (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:06.4452211Z ok (0.003s) 2022-11-23T01:42:06.4452733Z test_listcomp (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:06.4453147Z inline_call [] 2022-11-23T01:42:06.4453715Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:42:06.4454125Z ok (0.011s) 2022-11-23T01:42:06.4454520Z test_lnotab_writer (__main__.MiscTests) ... ok (0.001s) 2022-11-23T01:42:06.4455291Z test_manual_seed (__main__.MiscTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:42:06.4455775Z ok (0.009s) 2022-11-23T01:42:06.4456438Z test_matmul1 (__main__.MiscTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:06.4456931Z ok (0.045s) 2022-11-23T01:42:06.4457322Z test_module_complex_iter (__main__.MiscTests) ... ok (0.011s) 2022-11-23T01:42:06.4457972Z test_module_deepcopy (__main__.MiscTests) ... frames [('total', 6), ('ok', 6)] 2022-11-23T01:42:06.4458424Z unimplemented [] 2022-11-23T01:42:06.4459162Z graph_break [('call_function in skip_files /opt/conda/lib/python3.7/copy.py', 2)] 2022-11-23T01:42:06.4459616Z inline_call [] 2022-11-23T01:42:06.4460174Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:42:06.4460607Z ok (0.052s) 2022-11-23T01:42:06.4460996Z test_named_parameters (__main__.MiscTests) ... ok (0.025s) 2022-11-23T01:42:06.4461632Z test_namedtuple1 (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:06.4462289Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:42:06.4462691Z ok (0.008s) 2022-11-23T01:42:06.4463246Z test_namedtuple2 (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:06.4464010Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:42:06.4464428Z ok (0.009s) 2022-11-23T01:42:06.4464980Z test_namedtuple3 (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:06.4465624Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:06.4466051Z ok (0.006s) 2022-11-23T01:42:06.4466545Z test_nan (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:06.4467185Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:42:06.4467616Z ok (0.005s) 2022-11-23T01:42:06.4468093Z test_nested_closure (__main__.MiscTests) ... inline_call [] 2022-11-23T01:42:06.4468807Z stats [('calls_captured', 9), ('fusions_possible', 7), ('unique_graphs', 2)] 2022-11-23T01:42:06.4469229Z ok (0.022s) 2022-11-23T01:42:06.4469634Z test_nested_closure_mutation (__main__.MiscTests) ... inline_call [] 2022-11-23T01:42:06.4470299Z stats [('calls_captured', 11), ('fusions_possible', 9), ('unique_graphs', 2)] 2022-11-23T01:42:06.4470724Z ok (0.018s) 2022-11-23T01:42:06.4471534Z test_nested_disable_decorator (__main__.MiscTests) ... [2022-11-23 01:42:04,158] torch._dynamo.convert_frame: [ERROR] WON'T CONVERT fn3 dynamo/test_misc.py line 1195 2022-11-23T01:42:06.4472105Z due to: 2022-11-23T01:42:06.4472462Z Traceback (most recent call last): 2022-11-23T01:42:06.4473146Z File "/opt/conda/lib/python3.7/site-packages/torch/_dynamo/exc.py", line 67, in unimplemented 2022-11-23T01:42:06.4473650Z raise Unsupported(msg) 2022-11-23T01:42:06.4474328Z torch._dynamo.exc.Unsupported: call torch._dynamo.disable() wrapped function .fn1 at 0x7f294ffa4200> 2022-11-23T01:42:06.4474834Z 2022-11-23T01:42:06.4474968Z from user code: 2022-11-23T01:42:06.4475343Z File "dynamo/test_misc.py", line 1197, in fn3 2022-11-23T01:42:06.4475723Z return fn2(x) 2022-11-23T01:42:06.4476106Z File "dynamo/test_misc.py", line 1190, in fn2 2022-11-23T01:42:06.4476494Z x = fn1(x) # graph break 2022-11-23T01:42:06.4476716Z 2022-11-23T01:42:06.4476958Z Set torch._dynamo.config.verbose=True for more information 2022-11-23T01:42:06.4477260Z 2022-11-23T01:42:06.4477267Z 2022-11-23T01:42:06.4477497Z frames [('total', 2), ('ok', 2)] 2022-11-23T01:42:06.4477856Z unimplemented [] 2022-11-23T01:42:06.4478660Z graph_break [('call torch._dynamo.disable() wrapped function .fn1 at 0x7f294ffa4200>', 1)] 2022-11-23T01:42:06.4479485Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:42:06.4480401Z inline_call [('call torch._dynamo.disable() wrapped function .fn1 at 0x7f294ffa4200>', 1)] 2022-11-23T01:42:06.4480972Z ok (0.015s) 2022-11-23T01:42:06.4481661Z test_nested_optimize (__main__.MiscTests) ... stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)] 2022-11-23T01:42:06.4482166Z ok (0.017s) 2022-11-23T01:42:06.4482600Z test_nested_optimize_decorator (__main__.MiscTests) ... inline_call [] 2022-11-23T01:42:06.4483261Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:42:06.4483691Z ok (0.010s) 2022-11-23T01:42:06.4484396Z test_nested_optimize_run (__main__.MiscTests) ... stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)] 2022-11-23T01:42:06.4484884Z ok (0.014s) 2022-11-23T01:42:06.4485319Z test_nn_sequential_invocation (__main__.MiscTests) ... inline_call [] 2022-11-23T01:42:06.4485978Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:42:06.4486407Z ok (0.025s) 2022-11-23T01:42:06.4486874Z test_nn_sequential_invocation_reposition_indices (__main__.MiscTests) ... inline_call [] 2022-11-23T01:42:06.4487587Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:42:06.4488023Z ok (0.019s) 2022-11-23T01:42:06.4488709Z test_no_error_on_nested_fx_trace (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:06.4489400Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:06.4489833Z ok (0.006s) 2022-11-23T01:42:06.4490504Z test_no_grad (__main__.MiscTests) ... stats [('calls_captured', 40), ('fusions_possible', 32), ('unique_graphs', 8)] 2022-11-23T01:42:06.4490994Z ok (0.060s) 2022-11-23T01:42:06.4491655Z test_numel (__main__.MiscTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:42:06.4492131Z ok (0.008s) 2022-11-23T01:42:06.4492675Z test_numpy_int_constant (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:06.4493445Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:42:06.4493868Z ok (0.007s) 2022-11-23T01:42:06.4494443Z test_numpy_variable_isinstance (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:06.4495140Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:06.4495565Z ok (0.006s) 2022-11-23T01:42:06.4495968Z test_object_classmethod (__main__.MiscTests) ... inline_call [] 2022-11-23T01:42:06.4496626Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:42:06.4497053Z ok (0.006s) 2022-11-23T01:42:06.4497449Z test_object_staticmethod (__main__.MiscTests) ... inline_call [] 2022-11-23T01:42:06.4498113Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:42:06.4498544Z ok (0.006s) 2022-11-23T01:42:06.4499341Z test_onnx_shape_as_tensor (__main__.MiscTests) ... stats [('calls_captured', 15), ('fusions_possible', 10), ('unique_graphs', 5)] 2022-11-23T01:42:06.4499847Z ok (0.072s) 2022-11-23T01:42:06.4500555Z test_optimize_on_module (__main__.MiscTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:06.4501066Z ok (0.006s) 2022-11-23T01:42:06.4501716Z test_pair (__main__.MiscTests) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:42:06.4502199Z ok (0.012s) 2022-11-23T01:42:06.4502748Z test_python_slice (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:42:06.4503144Z ok (0.007s) 2022-11-23T01:42:06.4503688Z test_raise_on_backend_error (__main__.MiscTests) ... frames [('total', 1)] 2022-11-23T01:42:06.4504296Z stats [('calls_captured', 3), ('fusions_possible', 2)] 2022-11-23T01:42:06.4504694Z ok (0.006s) 2022-11-23T01:42:06.4505204Z test_raises (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:42:06.4505646Z unimplemented [] 2022-11-23T01:42:06.4506237Z graph_break [('call_function BuiltinVariable(str) [TensorVariable()] {}', 1)] 2022-11-23T01:42:06.4506918Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:42:06.4507351Z ok (0.010s) 2022-11-23T01:42:06.4507771Z test_rand (__main__.MiscTests) ... skip: requires cuda (0.001s) 2022-11-23T01:42:06.4508256Z test_range_input (__main__.MiscTests) ... inline_call [] 2022-11-23T01:42:06.4508970Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:42:06.4509400Z ok (0.008s) 2022-11-23T01:42:06.4509988Z test_recursive_inline_list_mutation (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:06.4510448Z inline_call [] 2022-11-23T01:42:06.4511011Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)] 2022-11-23T01:42:06.4511439Z ok (0.019s) 2022-11-23T01:42:06.4512001Z test_release_input_memory (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:06.4512679Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:06.4513107Z ok (0.004s) 2022-11-23T01:42:06.4513673Z test_release_module_memory (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:06.4514475Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:06.4514900Z ok (0.009s) 2022-11-23T01:42:06.4515660Z test_repro_graph_breaks_in__get_item_by_idx (__main__.MiscTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:06.4516193Z ok (0.010s) 2022-11-23T01:42:06.4516778Z test_return_nested_function (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:42:06.4517457Z stats [('calls_captured', 7), ('fusions_possible', 5), ('unique_graphs', 2)] 2022-11-23T01:42:06.4517867Z ok (0.017s) 2022-11-23T01:42:06.4518261Z test_sample_input (__main__.MiscTests) ... ok (0.927s) 2022-11-23T01:42:06.4518983Z test_setattr_mutation1 (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:42:06.4519807Z unimplemented [('call_method UserDefinedObjectVariable(member_descriptor) __mul__ [ConstantVariable(int)] {}', 1)] 2022-11-23T01:42:06.4520829Z graph_break [("isinstance called on UserDefinedClass UserDefinedObjectVariable(member_descriptor) ", 1)] 2022-11-23T01:42:06.4521493Z frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:06.4522098Z stats [('calls_captured', 12), ('fusions_possible', 11), ('unique_graphs', 1)] 2022-11-23T01:42:06.4522518Z ok (0.020s) 2022-11-23T01:42:06.4523081Z test_setattr_mutation2 (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:06.4523519Z inline_call [] 2022-11-23T01:42:06.4524068Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)] 2022-11-23T01:42:06.4524504Z ok (0.015s) 2022-11-23T01:42:06.4525057Z test_setattr_mutation3 (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:06.4525485Z inline_call [] 2022-11-23T01:42:06.4526045Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)] 2022-11-23T01:42:06.4526467Z ok (0.016s) 2022-11-23T01:42:06.4526994Z test_shape_unpack (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:06.4527657Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:06.4528086Z ok (0.005s) 2022-11-23T01:42:06.4528682Z test_side_effects_codegen_update_mutated (__main__.MiscTests) ... frames [('total', 6), ('ok', 6)] 2022-11-23T01:42:06.4529169Z unimplemented [] 2022-11-23T01:42:06.4529598Z graph_break [('Tensor.item', 4)] 2022-11-23T01:42:06.4530186Z stats [('calls_captured', 8), ('fusions_possible', 4), ('unique_graphs', 4)] 2022-11-23T01:42:06.4530596Z ok (0.032s) 2022-11-23T01:42:06.4531115Z test_size_input (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:42:06.4531763Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:42:06.4532180Z ok (0.009s) 2022-11-23T01:42:06.4532840Z test_slice_input (__main__.MiscTests) ... stats [('calls_captured', 3), ('unique_graphs', 3), ('fusions_possible', 0)] 2022-11-23T01:42:06.4533325Z ok (0.020s) 2022-11-23T01:42:06.4533880Z test_tensor_build_list_unpack (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:06.4534571Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:42:06.4534999Z ok (0.013s) 2022-11-23T01:42:06.4535677Z test_tensor_data (__main__.MiscTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:42:06.4536150Z ok (0.007s) 2022-11-23T01:42:06.4536686Z test_tensor_dict1 (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:06.4537340Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:42:06.4537744Z ok (0.007s) 2022-11-23T01:42:06.4538277Z test_tensor_dict2 (__main__.MiscTests) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:42:06.4539062Z stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)] 2022-11-23T01:42:06.4539482Z ok (0.021s) 2022-11-23T01:42:06.4540076Z test_tensor_dot_grad_no_graph_break (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:42:06.4540545Z unimplemented [] 2022-11-23T01:42:06.4541084Z graph_break [('Tensor.backward', 1)] 2022-11-23T01:42:06.4541697Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:42:06.4542124Z ok (0.016s) 2022-11-23T01:42:06.4542680Z test_tensor_is_contiguous (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:42:06.4543336Z stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)] 2022-11-23T01:42:06.4543761Z ok (0.020s) 2022-11-23T01:42:06.4544322Z test_tensor_item_capture (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:06.4544983Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:42:06.4545492Z ok (0.008s) 2022-11-23T01:42:06.4546064Z test_tensor_item_no_capture (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:06.4546514Z unimplemented [] 2022-11-23T01:42:06.4546944Z graph_break [('Tensor.item', 1)] 2022-11-23T01:42:06.4547545Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:42:06.4547960Z ok (0.007s) 2022-11-23T01:42:06.4548718Z test_tensor_layout (__main__.MiscTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:06.4549211Z ok (0.007s) 2022-11-23T01:42:06.4549763Z test_tensor_types (__main__.MiscTests) ... frames [('total', 10), ('ok', 10)] 2022-11-23T01:42:06.4550411Z stats [('calls_captured', 10), ('unique_graphs', 10), ('fusions_possible', 0)] 2022-11-23T01:42:06.4550833Z ok (0.035s) 2022-11-23T01:42:06.4551535Z test_top_package_import (__main__.MiscTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:06.4552024Z ok (0.006s) 2022-11-23T01:42:06.4552741Z test_torch_cuda_is_available (__main__.MiscTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:06.4553252Z ok (0.005s) 2022-11-23T01:42:06.4553843Z test_torch_nn_parameter_isinstance (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:06.4554537Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:42:06.4554964Z ok (0.008s) 2022-11-23T01:42:06.4555750Z test_torch_profiler (__main__.MiscTests) ... STAGE:2022-11-23 01:42:05 6345:6345 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T01:42:06.4556625Z STAGE:2022-11-23 01:42:05 6345:6345 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T01:42:06.4557469Z STAGE:2022-11-23 01:42:05 6345:6345 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T01:42:06.4558256Z [2022-11-23 01:42:05,736] torch._dynamo.variables.torch: [WARNING] Profiler will be ignored 2022-11-23T01:42:06.4559004Z [2022-11-23 01:42:05,738] torch._dynamo.variables.torch: [WARNING] Profiler will be ignored 2022-11-23T01:42:06.4559527Z frames [('total', 3), ('ok', 3)] 2022-11-23T01:42:06.4559885Z unimplemented [] 2022-11-23T01:42:06.4560323Z graph_break [('Tensor.tolist', 1)] 2022-11-23T01:42:06.4560912Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:42:06.4561333Z ok (0.017s) 2022-11-23T01:42:06.4562007Z test_torch_seed (__main__.MiscTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:42:06.4562478Z ok (0.006s) 2022-11-23T01:42:06.4563156Z test_torch_size (__main__.MiscTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:42:06.4563643Z ok (0.006s) 2022-11-23T01:42:06.4564159Z test_type_copy (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:42:06.4564819Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:42:06.4565245Z ok (0.014s) 2022-11-23T01:42:06.4565859Z test_typing_variable_isinstance (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:06.4566558Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:06.4567007Z ok (0.006s) 2022-11-23T01:42:06.4567804Z test_unpack4 (__main__.MiscTests) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:42:06.4568280Z ok (0.011s) 2022-11-23T01:42:06.4568939Z test_unpack5 (__main__.MiscTests) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:42:06.4569434Z ok (0.011s) 2022-11-23T01:42:06.4570236Z test_unsupported_fake_tensor (__main__.MiscTests) ... [2022-11-23 01:42:05,808] torch._dynamo.convert_frame: [ERROR] WON'T CONVERT f dynamo/test_misc.py line 1705 2022-11-23T01:42:06.4570809Z due to: 2022-11-23T01:42:06.4571169Z Traceback (most recent call last): 2022-11-23T01:42:06.4571875Z File "/opt/conda/lib/python3.7/site-packages/torch/_ops.py", line 107, in resolve_key 2022-11-23T01:42:06.4572506Z raise NotImplementedError(f"could not find kernel for {op} at dispatch key {k}") 2022-11-23T01:42:06.4573215Z NotImplementedError: could not find kernel for aten.quantize_per_tensor.default at dispatch key DispatchKey.Meta 2022-11-23T01:42:06.4573644Z 2022-11-23T01:42:06.4573908Z During handling of the above exception, another exception occurred: 2022-11-23T01:42:06.4574232Z 2022-11-23T01:42:06.4574392Z Traceback (most recent call last): 2022-11-23T01:42:06.4575121Z File "/opt/conda/lib/python3.7/site-packages/torch/_subclasses/fake_tensor.py", line 213, in from_real_tensor 2022-11-23T01:42:06.4575800Z raise UnsupportedFakeTensorException("quantized nyi in meta tensors") 2022-11-23T01:42:06.4576513Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: quantized nyi in meta tensors 2022-11-23T01:42:06.4576924Z 2022-11-23T01:42:06.4577173Z The above exception was the direct cause of the following exception: 2022-11-23T01:42:06.4577488Z 2022-11-23T01:42:06.4577665Z Traceback (most recent call last): 2022-11-23T01:42:06.4578345Z File "/opt/conda/lib/python3.7/site-packages/torch/_dynamo/utils.py", line 1114, in run_node 2022-11-23T01:42:06.4578938Z ) from e 2022-11-23T01:42:06.4579670Z RuntimeError: Failed running call_function (*(FakeTensor(FakeTensor(..., device='meta', size=(2, 2)), cpu), 0.1, 10, torch.quint8), **{}): 2022-11-23T01:42:06.4580118Z quantized nyi in meta tensors 2022-11-23T01:42:06.4580394Z (scroll up for backtrace) 2022-11-23T01:42:06.4580566Z 2022-11-23T01:42:06.4580736Z The above exception was the direct cause of the following exception: 2022-11-23T01:42:06.4580962Z 2022-11-23T01:42:06.4581080Z Traceback (most recent call last): 2022-11-23T01:42:06.4581588Z File "/opt/conda/lib/python3.7/site-packages/torch/_dynamo/utils.py", line 1082, in get_fake_value 2022-11-23T01:42:06.4581991Z raise TorchRuntimeError() from e 2022-11-23T01:42:06.4582313Z torch._dynamo.exc.TorchRuntimeError: 2022-11-23T01:42:06.4582525Z 2022-11-23T01:42:06.4582632Z from user code: 2022-11-23T01:42:06.4582913Z File "dynamo/test_misc.py", line 1706, in f 2022-11-23T01:42:06.4583265Z return torch.quantize_per_tensor(x, 0.1, 10, torch.quint8) 2022-11-23T01:42:06.4583486Z 2022-11-23T01:42:06.4583677Z Set torch._dynamo.config.verbose=True for more information 2022-11-23T01:42:06.4583909Z 2022-11-23T01:42:06.4583916Z 2022-11-23T01:42:06.4584084Z frames [('total', 1)] 2022-11-23T01:42:06.4584525Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:06.4584829Z ok (0.009s) 2022-11-23T01:42:06.4585323Z test_update_locals_and_stack_uses_shared_cache (__main__.MiscTests) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:42:06.4585676Z inline_call [] 2022-11-23T01:42:06.4585913Z unimplemented [] 2022-11-23T01:42:06.4586377Z graph_break [('call_method ListVariable() extend [ListIteratorVariable()] {}', 1)] 2022-11-23T01:42:06.4586728Z ok (0.010s) 2022-11-23T01:42:06.4587265Z test_user_defined_class_name (__main__.MiscTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:42:06.4587632Z ok (0.009s) 2022-11-23T01:42:06.4588107Z test_user_function_variable_supports_enum_argument (__main__.MiscTests) ... inline_call [] 2022-11-23T01:42:06.4588532Z ok (0.005s) 2022-11-23T01:42:06.4588897Z test_user_function_variable_supports_function_argument (__main__.MiscTests) ... inline_call [] 2022-11-23T01:42:06.4589446Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:06.4589764Z ok (0.006s) 2022-11-23T01:42:06.4590115Z test_user_function_variable_supports_type_abcmeta_argument (__main__.MiscTests) ... inline_call [] 2022-11-23T01:42:06.4590667Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:06.4591089Z ok (0.006s) 2022-11-23T01:42:06.4591499Z test_user_getattr1 (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:06.4591818Z inline_call [] 2022-11-23T01:42:06.4592241Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:42:06.4592531Z ok (0.007s) 2022-11-23T01:42:06.4592937Z test_user_getattr2 (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:06.4593260Z inline_call [] 2022-11-23T01:42:06.4593658Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:42:06.4593978Z ok (0.008s) 2022-11-23T01:42:06.4594380Z test_user_property (__main__.MiscTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:06.4594700Z inline_call [] 2022-11-23T01:42:06.4595102Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:42:06.4595425Z ok (0.006s) 2022-11-23T01:42:06.4595738Z test_usr_cls_classmethod (__main__.MiscTests) ... inline_call [] 2022-11-23T01:42:06.4596201Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:42:06.4596505Z ok (0.008s) 2022-11-23T01:42:06.4596820Z test_usr_cls_staticmethod (__main__.MiscTests) ... inline_call [] 2022-11-23T01:42:06.4597299Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:42:06.4597634Z ok (0.008s) 2022-11-23T01:42:06.4597925Z test_version_ci (__main__.MiscTests) ... ok (0.001s) 2022-11-23T01:42:06.4598290Z test_write_to_closures_in_inlining (__main__.MiscTests) ... inline_call [] 2022-11-23T01:42:06.4598812Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:42:06.4599116Z ok (0.008s) 2022-11-23T01:42:06.4599409Z test_jit_save (__main__.TestTracer) ... ok (0.041s) 2022-11-23T01:42:06.4599591Z 2022-11-23T01:42:06.4599890Z ---------------------------------------------------------------------- 2022-11-23T01:42:06.4600238Z Ran 149 tests in 3.333s 2022-11-23T01:42:06.4600411Z 2022-11-23T01:42:06.4600509Z OK (skipped=5) 2022-11-23T01:42:06.4600661Z 2022-11-23T01:42:06.4600775Z Generating XML reports... 2022-11-23T01:42:06.4601340Z Generated XML report: test-reports/python-unittest/dynamo.test_misc/TEST-MiscTests-20221123014202.xml 2022-11-23T01:42:06.4602018Z Generated XML report: test-reports/python-unittest/dynamo.test_misc/TEST-TestTracer-20221123014202.xml 2022-11-23T01:42:06.4602328Z 2022-11-23T01:42:06.4602772Z ##[endgroup] 2022-11-23T01:42:06.4603327Z FINISHED PRINTING LOG FILE of dynamo/test_misc (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_misc_bnsdsv34) 2022-11-23T01:42:06.4603622Z 2022-11-23T01:42:07.9990367Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:42:08.1385851Z Ignoring disabled issues: [] 2022-11-23T01:42:08.1553634Z Running test_import_stats ... [2022-11-23 01:42:08.155002] 2022-11-23T01:42:08.1555039Z Executing ['/opt/conda/bin/python', '-bb', 'test_import_stats.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:42:08.155272] 2022-11-23T01:42:08.3554744Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:42:08.4751680Z Ignoring disabled issues: [] 2022-11-23T01:42:08.4918229Z Running test_utils ... [2022-11-23 01:42:08.491512] 2022-11-23T01:42:08.4919904Z Executing ['/opt/conda/bin/python', '-bb', 'test_utils.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:42:08.491781] 2022-11-23T01:42:12.5600518Z 2022-11-23T01:42:12.5601105Z Expand the folded group to see the log file of test_import_stats 2022-11-23T01:42:12.5602299Z ##[group]PRINTING LOG FILE of test_import_stats (/var/lib/jenkins/workspace/test/test-reports/test_import_stats_ib0qz0uu) 2022-11-23T01:42:12.5603175Z Test results will be stored in test-reports/python-unittest/test_import_stats 2022-11-23T01:42:12.5603494Z 2022-11-23T01:42:12.5603630Z Running tests... 2022-11-23T01:42:12.5604168Z ---------------------------------------------------------------------- 2022-11-23T01:42:12.5604948Z test_time_cuda_device_count (__main__.TestImportTime) ... ok (1.555s) 2022-11-23T01:42:12.5605443Z test_time_import_torch (__main__.TestImportTime) ... ok (1.255s) 2022-11-23T01:42:12.5605719Z 2022-11-23T01:42:12.5606081Z ---------------------------------------------------------------------- 2022-11-23T01:42:12.5606502Z Ran 2 tests in 2.811s 2022-11-23T01:42:12.5606712Z 2022-11-23T01:42:12.5606804Z OK 2022-11-23T01:42:12.5606972Z 2022-11-23T01:42:12.5607121Z Generating XML reports... 2022-11-23T01:42:12.5607872Z Generated XML report: test-reports/python-unittest/test_import_stats/TEST-TestImportTime-20221123014209.xml 2022-11-23T01:42:12.5608284Z 2022-11-23T01:42:12.5608676Z ##[endgroup] 2022-11-23T01:42:12.5609371Z FINISHED PRINTING LOG FILE of test_import_stats (/var/lib/jenkins/workspace/test/test-reports/test_import_stats_ib0qz0uu) 2022-11-23T01:42:12.5609763Z 2022-11-23T01:42:13.0640507Z 2022-11-23T01:42:13.0640996Z Expand the folded group to see the log file of test_utils 2022-11-23T01:42:13.0642114Z ##[group]PRINTING LOG FILE of test_utils (/var/lib/jenkins/workspace/test/test-reports/test_utils_ntjj0dlh) 2022-11-23T01:42:13.0642687Z Test results will be stored in test-reports/python-unittest/test_utils 2022-11-23T01:42:13.0643035Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:42:13.0643188Z 2022-11-23T01:42:13.0643256Z Running tests... 2022-11-23T01:42:13.0643571Z ---------------------------------------------------------------------- 2022-11-23T01:42:13.0644048Z test_assert_scriptable (__main__.TestAssert) ... ok (0.208s) 2022-11-23T01:42:13.0644477Z test_assert_true (__main__.TestAssert) ... ok (0.001s) 2022-11-23T01:42:13.0645655Z test_bottleneck_cpu_only (__main__.TestBottleneck) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/68433 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:42:13.0646371Z test_bottleneck_cuda (__main__.TestBottleneck) ... skip: No CUDA (0.000s) 2022-11-23T01:42:13.0646834Z test_checkpoint (__main__.TestCheckpoint) ... ok (0.012s) 2022-11-23T01:42:13.0647243Z test_checkpoint_module_list (__main__.TestCheckpoint) ... ok (0.011s) 2022-11-23T01:42:13.0648233Z test_checkpoint_no_tensors (__main__.TestCheckpoint) ... /opt/conda/lib/python3.7/site-packages/torch/utils/checkpoint.py:31: UserWarning: None of the inputs have requires_grad=True. Gradients will be None 2022-11-23T01:42:13.0648676Z warnings.warn("None of the inputs have requires_grad=True. Gradients will be None") 2022-11-23T01:42:13.0648943Z ok (0.002s) 2022-11-23T01:42:13.0649172Z test_checkpoint_non_tensor (__main__.TestCheckpoint) ... ok (0.001s) 2022-11-23T01:42:13.0649463Z test_checkpoint_non_tensor_inputs_outputs (__main__.TestCheckpoint) ... ok (0.004s) 2022-11-23T01:42:13.0650035Z test_checkpoint_not_preserve_rng_state_and_without_reentrant (__main__.TestCheckpoint) ... skip: No CUDA (0.000s) 2022-11-23T01:42:13.0650599Z test_checkpoint_partial_grad (__main__.TestCheckpoint) ... ok (0.002s) 2022-11-23T01:42:13.0650888Z test_checkpoint_rng_cpu (__main__.TestCheckpoint) ... ok (0.020s) 2022-11-23T01:42:13.0651168Z test_checkpoint_rng_cuda (__main__.TestCheckpoint) ... skip: No CUDA (0.001s) 2022-11-23T01:42:13.0651656Z test_checkpoint_sequential_deprecated_multiple_args (__main__.TestCheckpoint) ... ok (0.001s) 2022-11-23T01:42:13.0652003Z test_checkpoint_sequential_deprecated_no_args (__main__.TestCheckpoint) ... ok (0.001s) 2022-11-23T01:42:13.0652299Z test_checkpoint_trigger (__main__.TestCheckpoint) ... ok (0.004s) 2022-11-23T01:42:13.0652579Z test_checkpoint_valid (__main__.TestCheckpoint) ... ok (0.004s) 2022-11-23T01:42:13.0652916Z test_checkpointing_without_reentrant_early_free (__main__.TestCheckpoint) ... skip: Test requires CUDA (0.002s) 2022-11-23T01:42:13.0653763Z test_smoke (__main__.TestCollectEnv) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/77345 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s) 2022-11-23T01:42:13.0654370Z test_cc_compiler_is_ok (__main__.TestCppExtensionUtils) ... ok (0.026s) 2022-11-23T01:42:13.0654680Z test_cpp_compiler_is_ok (__main__.TestCppExtensionUtils) ... ok (0.022s) 2022-11-23T01:42:13.0655501Z test_multi_drop (__main__.TestDataLoaderUtils) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/82865 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:42:13.0666216Z test_multi_keep (__main__.TestDataLoaderUtils) ... skip: FIXME: Intermittent CUDA out-of-memory error on Windows and time-out under ASAN (0.000s) 2022-11-23T01:42:13.0667302Z test_random_seed (__main__.TestDataLoaderUtils) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/70516 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T01:42:13.0667853Z test_single_drop (__main__.TestDataLoaderUtils) ... ok (0.002s) 2022-11-23T01:42:13.0668135Z test_single_keep (__main__.TestDataLoaderUtils) ... ok (0.001s) 2022-11-23T01:42:13.0668520Z test_external_module_register (__main__.TestExtensionUtils) ... ok (0.002s) 2022-11-23T01:42:13.0668801Z test_import_hipify (__main__.TestHipify) ... ok (0.001s) 2022-11-23T01:42:13.0669058Z test_check_onnx_broadcast (__main__.TestONNXUtils) ... ok (0.002s) 2022-11-23T01:42:13.0669341Z test_prepare_onnx_paddings (__main__.TestONNXUtils) ... ok (0.001s) 2022-11-23T01:42:13.0669635Z test_load_standalone (__main__.TestStandaloneCPPJIT) ... ok (2.083s) 2022-11-23T01:42:13.0669803Z 2022-11-23T01:42:13.0669995Z ---------------------------------------------------------------------- 2022-11-23T01:42:13.0670234Z Ran 31 tests in 2.420s 2022-11-23T01:42:13.0670346Z 2022-11-23T01:42:13.0670416Z OK (skipped=9) 2022-11-23T01:42:13.0670524Z 2022-11-23T01:42:13.0670607Z Generating XML reports... 2022-11-23T01:42:13.0670973Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestAssert-20221123014210.xml 2022-11-23T01:42:13.0671453Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestCheckpoint-20221123014210.xml 2022-11-23T01:42:13.0671960Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestCppExtensionUtils-20221123014210.xml 2022-11-23T01:42:13.0672467Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestDataLoaderUtils-20221123014210.xml 2022-11-23T01:42:13.0672969Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestExtensionUtils-20221123014210.xml 2022-11-23T01:42:13.0673446Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestHipify-20221123014210.xml 2022-11-23T01:42:13.0673915Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestONNXUtils-20221123014210.xml 2022-11-23T01:42:13.0674515Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestStandaloneCPPJIT-20221123014210.xml 2022-11-23T01:42:13.0675018Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestBottleneck-20221123014210.xml 2022-11-23T01:42:13.0675537Z Generated XML report: test-reports/python-unittest/test_utils/TEST-TestCollectEnv-20221123014210.xml 2022-11-23T01:42:13.0675844Z 2022-11-23T01:42:13.0676235Z ##[endgroup] 2022-11-23T01:42:13.0676932Z FINISHED PRINTING LOG FILE of test_utils (/var/lib/jenkins/workspace/test/test-reports/test_utils_ntjj0dlh) 2022-11-23T01:42:13.0677185Z 2022-11-23T01:42:14.5127474Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:42:14.6542879Z Ignoring disabled issues: [] 2022-11-23T01:42:14.6710934Z Running test_openmp ... [2022-11-23 01:42:14.670787] 2022-11-23T01:42:14.6713566Z Executing ['/opt/conda/bin/python', '-bb', 'test_openmp.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:42:14.671122] 2022-11-23T01:42:14.8837250Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:42:15.0025803Z Ignoring disabled issues: [] 2022-11-23T01:42:15.0193978Z Running test_package ... [2022-11-23 01:42:15.019109] 2022-11-23T01:42:15.0195845Z Executing ['/opt/conda/bin/python', '-bb', 'test_package.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:42:15.019374] 2022-11-23T01:42:18.6783578Z 2022-11-23T01:42:18.6784120Z Expand the folded group to see the log file of test_openmp 2022-11-23T01:42:18.6785143Z ##[group]PRINTING LOG FILE of test_openmp (/var/lib/jenkins/workspace/test/test-reports/test_openmp_gjntao6x) 2022-11-23T01:42:18.6786011Z Test results will be stored in test-reports/python-unittest/test_openmp 2022-11-23T01:42:18.6786301Z 2022-11-23T01:42:18.6786429Z Running tests... 2022-11-23T01:42:18.6786911Z ---------------------------------------------------------------------- 2022-11-23T01:42:18.6787371Z test_n_threads (__main__.TestOpenMP_ParallelFor) 2022-11-23T01:42:18.6787854Z Make sure there is no memory leak with many threads ... ok (1.319s) 2022-11-23T01:42:18.6788421Z test_one_thread (__main__.TestOpenMP_ParallelFor) 2022-11-23T01:42:18.6789712Z Make sure there is no memory leak with one thread: issue gh-32284 ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T01:42:18.6790496Z ok (1.068s) 2022-11-23T01:42:18.6790691Z 2022-11-23T01:42:18.6791044Z ---------------------------------------------------------------------- 2022-11-23T01:42:18.6791505Z Ran 2 tests in 2.387s 2022-11-23T01:42:18.6791714Z 2022-11-23T01:42:18.6791836Z OK 2022-11-23T01:42:18.6792013Z 2022-11-23T01:42:18.6792160Z Generating XML reports... 2022-11-23T01:42:18.6792934Z Generated XML report: test-reports/python-unittest/test_openmp/TEST-TestOpenMP_ParallelFor-20221123014215.xml 2022-11-23T01:42:18.6793367Z 2022-11-23T01:42:18.6793817Z ##[endgroup] 2022-11-23T01:42:18.6794499Z FINISHED PRINTING LOG FILE of test_openmp (/var/lib/jenkins/workspace/test/test-reports/test_openmp_gjntao6x) 2022-11-23T01:42:18.6794900Z 2022-11-23T01:42:19.3309138Z 2022-11-23T01:42:19.3309661Z Expand the folded group to see the log file of test_package 2022-11-23T01:42:19.3310756Z ##[group]PRINTING LOG FILE of test_package (/var/lib/jenkins/workspace/test/test-reports/test_package_fadf230x) 2022-11-23T01:42:19.3312082Z Test results will be stored in test-reports/python-unittest/test_package 2022-11-23T01:42:19.3312364Z 2022-11-23T01:42:19.3312474Z Running tests... 2022-11-23T01:42:19.3313085Z ---------------------------------------------------------------------- 2022-11-23T01:42:19.3314487Z test_trace_dependencies (test_analyze.TestAnalyze) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/81213 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.309s) 2022-11-23T01:42:19.3315080Z test_allow_empty_with_error (test_dependency_api.TestDependencyAPI) 2022-11-23T01:42:19.3315412Z If an error occurs during packaging, it should not be shadowed by the allow_empty error. ... ok (0.002s) 2022-11-23T01:42:19.3315748Z test_broken_dependency (test_dependency_api.TestDependencyAPI) 2022-11-23T01:42:19.3316065Z A unpackageable dependency should raise a PackagingError. ... ok (0.002s) 2022-11-23T01:42:19.3316348Z test_deny (test_dependency_api.TestDependencyAPI) 2022-11-23T01:42:19.3316622Z Test marking packages as "deny" during export. ... ok (0.002s) 2022-11-23T01:42:19.3316955Z test_deny_glob (test_dependency_api.TestDependencyAPI) 2022-11-23T01:42:19.3317248Z Test marking packages as "deny" using globs instead of package names. ... ok (0.002s) 2022-11-23T01:42:19.3317563Z test_extern (test_dependency_api.TestDependencyAPI) ... ok (0.001s) 2022-11-23T01:42:19.3317872Z test_extern_glob (test_dependency_api.TestDependencyAPI) ... ok (0.002s) 2022-11-23T01:42:19.3318185Z test_extern_glob_allow_empty (test_dependency_api.TestDependencyAPI) 2022-11-23T01:42:19.3318503Z Test that an error is thrown when a extern glob is specified with allow_empty=True ... ok (0.001s) 2022-11-23T01:42:19.3318829Z test_externing_c_extension (test_dependency_api.TestDependencyAPI) 2022-11-23T01:42:19.3319656Z Externing c extensions modules should allow us to still access them especially those found in torch._C. ... /opt/conda/lib/python3.7/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:42:19.3320182Z warnings.warn(message, UserWarning) 2022-11-23T01:42:19.3320367Z ok (0.007s) 2022-11-23T01:42:19.3320599Z test_implicit_intern (test_dependency_api.TestDependencyAPI) 2022-11-23T01:42:19.3320910Z The save_module APIs should implicitly intern the module being saved. ... ok (0.001s) 2022-11-23T01:42:19.3321201Z test_intern_error (test_dependency_api.TestDependencyAPI) 2022-11-23T01:42:19.3321497Z Failure to handle all dependencies should lead to an error. ... ok (0.002s) 2022-11-23T01:42:19.3321792Z test_invalid_import (test_dependency_api.TestDependencyAPI) 2022-11-23T01:42:19.3322158Z An incorrectly-formed import should raise a PackagingError. ... ok (0.001s) 2022-11-23T01:42:19.3322455Z test_mock (test_dependency_api.TestDependencyAPI) ... ok (0.002s) 2022-11-23T01:42:19.3322759Z test_mock_glob (test_dependency_api.TestDependencyAPI) ... ok (0.002s) 2022-11-23T01:42:19.3323071Z test_mock_glob_allow_empty (test_dependency_api.TestDependencyAPI) 2022-11-23T01:42:19.3323385Z Test that an error is thrown when a mock glob is specified with allow_empty=True ... ok (0.001s) 2022-11-23T01:42:19.3323714Z test_pickle_mocked (test_dependency_api.TestDependencyAPI) ... ok (0.001s) 2022-11-23T01:42:19.3324040Z test_pickle_mocked_all (test_dependency_api.TestDependencyAPI) ... ok (0.001s) 2022-11-23T01:42:19.3324361Z test_repackage_mocked_module (test_dependency_api.TestDependencyAPI) 2022-11-23T01:42:19.3324755Z Re-packaging a package that contains a mocked module should work correctly. ... ok (0.003s) 2022-11-23T01:42:19.3325108Z test_extern_and_mock_hook (test_dependency_hooks.TestDependencyHooks) ... ok (0.002s) 2022-11-23T01:42:19.3325454Z test_multiple_extern_hooks (test_dependency_hooks.TestDependencyHooks) ... ok (0.001s) 2022-11-23T01:42:19.3325789Z test_multiple_mock_hooks (test_dependency_hooks.TestDependencyHooks) ... ok (0.001s) 2022-11-23T01:42:19.3326124Z test_remove_hooks (test_dependency_hooks.TestDependencyHooks) ... ok (0.001s) 2022-11-23T01:42:19.3326455Z test_single_hook (test_dependency_hooks.TestDependencyHooks) ... ok (0.001s) 2022-11-23T01:42:19.3326756Z test_all_paths (test_digraph.TestDiGraph) ... ok (0.001s) 2022-11-23T01:42:19.3327057Z test_contains (test_digraph.TestDiGraph) ... ok (0.001s) 2022-11-23T01:42:19.3327348Z test_contains_non_hashable (test_digraph.TestDiGraph) ... ok (0.001s) 2022-11-23T01:42:19.3327631Z test_edges (test_digraph.TestDiGraph) ... ok (0.001s) 2022-11-23T01:42:19.3327897Z test_forward_closure (test_digraph.TestDiGraph) ... ok (0.001s) 2022-11-23T01:42:19.3328173Z test_iter (test_digraph.TestDiGraph) ... ok (0.001s) 2022-11-23T01:42:19.3328450Z test_node_attr_update (test_digraph.TestDiGraph) ... ok (0.001s) 2022-11-23T01:42:19.3328718Z test_node_attrs (test_digraph.TestDiGraph) ... ok (0.001s) 2022-11-23T01:42:19.3329010Z test_predecessor_not_in_graph (test_digraph.TestDiGraph) ... ok (0.001s) 2022-11-23T01:42:19.3329344Z test_predecessors (test_digraph.TestDiGraph) ... ok (0.001s) 2022-11-23T01:42:19.3329638Z test_successor_not_in_graph (test_digraph.TestDiGraph) ... ok (0.001s) 2022-11-23T01:42:19.3329914Z test_successors (test_digraph.TestDiGraph) ... ok (0.001s) 2022-11-23T01:42:19.3330228Z test_importer_access (test_directory_reader.DirectoryReaderTest) ... ok (0.004s) 2022-11-23T01:42:19.3330561Z test_loading_has_record (test_directory_reader.DirectoryReaderTest) 2022-11-23T01:42:19.3330887Z Test DirectoryReader's has_record(). ... ok (0.002s) 2022-11-23T01:42:19.3331169Z test_loading_module (test_directory_reader.DirectoryReaderTest) 2022-11-23T01:42:19.3331492Z Test basic saving and loading of a packages from a DirectoryReader. ... ok (0.002s) 2022-11-23T01:42:19.3331797Z test_loading_pickle (test_directory_reader.DirectoryReaderTest) 2022-11-23T01:42:19.3332231Z Test basic saving and loading of modules and pickles from a DirectoryReader. ... skip: Does not work with latest TorchVision, see https://github.com/pytorch/pytorch/issues/81115 (0.001s) 2022-11-23T01:42:19.3332663Z test_package_resource_access (test_directory_reader.DirectoryReaderTest) 2022-11-23T01:42:19.3333008Z Packaged modules should be able to use the importlib.resources API to access ... ok (0.003s) 2022-11-23T01:42:19.3333339Z test_resource_access_by_path (test_directory_reader.DirectoryReaderTest) 2022-11-23T01:42:19.3333668Z Tests that packaged code can used importlib.resources.path. ... ok (0.003s) 2022-11-23T01:42:19.3333987Z test_resource_reader (test_directory_reader.DirectoryReaderTest) 2022-11-23T01:42:19.3334299Z Tests DirectoryReader as the base for get_resource_reader. ... ok (0.006s) 2022-11-23T01:42:19.3334612Z test_scriptobject_failure_message (test_directory_reader.DirectoryReaderTest) 2022-11-23T01:42:19.3334938Z Test basic saving and loading of a ScriptModule in a directory. ... ok (0.010s) 2022-11-23T01:42:19.3335236Z test_exclude (test_glob_group.TestGlobGroup) ... ok (0.001s) 2022-11-23T01:42:19.3335515Z test_exclude_from_all (test_glob_group.TestGlobGroup) ... ok (0.001s) 2022-11-23T01:42:19.3335803Z test_invalid_raw (test_glob_group.TestGlobGroup) ... ok (0.001s) 2022-11-23T01:42:19.3336097Z test_list_include_exclude (test_glob_group.TestGlobGroup) ... ok (0.001s) 2022-11-23T01:42:19.3336393Z test_one_star (test_glob_group.TestGlobGroup) ... ok (0.001s) 2022-11-23T01:42:19.3336667Z test_one_star_middle (test_glob_group.TestGlobGroup) ... ok (0.001s) 2022-11-23T01:42:19.3336981Z test_one_star_multiple_in_component (test_glob_group.TestGlobGroup) ... ok (0.001s) 2022-11-23T01:42:19.3337294Z test_one_star_partial (test_glob_group.TestGlobGroup) ... ok (0.001s) 2022-11-23T01:42:19.3337588Z test_one_star_partial_extension (test_glob_group.TestGlobGroup) ... ok (0.001s) 2022-11-23T01:42:19.3337888Z test_raw_two_star (test_glob_group.TestGlobGroup) ... ok (0.001s) 2022-11-23T01:42:19.3338168Z test_two_star (test_glob_group.TestGlobGroup) ... ok (0.001s) 2022-11-23T01:42:19.3338439Z test_two_star_end (test_glob_group.TestGlobGroup) ... ok (0.001s) 2022-11-23T01:42:19.3338728Z test_two_star_middle (test_glob_group.TestGlobGroup) ... ok (0.001s) 2022-11-23T01:42:19.3339271Z test_two_star_multiple (test_glob_group.TestGlobGroup) ... ok (0.001s) 2022-11-23T01:42:19.3339659Z test_ordered_importer_basic (test_importer.TestImporter) ... ok (0.001s) 2022-11-23T01:42:19.3339959Z test_ordered_importer_whichmodule (test_importer.TestImporter) 2022-11-23T01:42:19.3340357Z OrderedImporter's implementation of whichmodule should try each ... ok (0.002s) 2022-11-23T01:42:19.3340692Z test_package_importer_whichmodule_no_dunder_module (test_importer.TestImporter) 2022-11-23T01:42:19.3341005Z Exercise corner case where we try to pickle an object whose ... ok (0.002s) 2022-11-23T01:42:19.3341308Z test_single_ordered_importer (test_importer.TestImporter) ... ok (0.001s) 2022-11-23T01:42:19.3341606Z test_sys_importer (test_importer.TestImporter) ... ok (0.001s) 2022-11-23T01:42:19.3341955Z test_sys_importer_roundtrip (test_importer.TestImporter) ... ok (0.001s) 2022-11-23T01:42:19.3342265Z test_load_bc_packages_fx_module (test_load_bc_packages.TestLoadBCPackages) 2022-11-23T01:42:19.3342562Z Tests for backwards compatible fx module ... ok (0.018s) 2022-11-23T01:42:19.3342861Z test_load_bc_packages_nn_module (test_load_bc_packages.TestLoadBCPackages) 2022-11-23T01:42:19.3343143Z Tests for backwards compatible nn module ... ok (0.013s) 2022-11-23T01:42:19.3343451Z test_load_bc_packages_torchscript_module (test_load_bc_packages.TestLoadBCPackages) 2022-11-23T01:42:19.3343772Z Tests for backwards compatible torchscript module ... ok (0.061s) 2022-11-23T01:42:19.3344032Z test_demangle_base (test_mangling.TestMangling) 2022-11-23T01:42:19.3344337Z Demangling a mangle parent directly should currently return an empty string. ... ok (0.002s) 2022-11-23T01:42:19.3344657Z test_demangler_multiple_manglers (test_mangling.TestMangling) 2022-11-23T01:42:19.3344994Z PackageDemangler should be able to demangle name generated by any PackageMangler. ... ok (0.001s) 2022-11-23T01:42:19.3345306Z test_is_mangled (test_mangling.TestMangling) ... ok (0.001s) 2022-11-23T01:42:19.3345596Z test_mangle_empty_errors (test_mangling.TestMangling) ... ok (0.001s) 2022-11-23T01:42:19.3345890Z test_mangle_prefix (test_mangling.TestMangling) ... ok (0.001s) 2022-11-23T01:42:19.3346159Z test_mangler_is_consistent (test_mangling.TestMangling) 2022-11-23T01:42:19.3346448Z Mangling the same name twice should produce the same result. ... ok (0.001s) 2022-11-23T01:42:19.3346751Z test_package_mangler (test_mangling.TestMangling) ... ok (0.001s) 2022-11-23T01:42:19.3347048Z test_roundtrip_mangling (test_mangling.TestMangling) ... ok (0.001s) 2022-11-23T01:42:19.3347316Z test_unique_manglers (test_mangling.TestMangling) 2022-11-23T01:42:19.3347621Z Each mangler instance should generate a unique mangled name for a given input. ... ok (0.001s) 2022-11-23T01:42:19.3347940Z test_unique_module_names (test_mangling.TestMangling) ... ok (0.004s) 2022-11-23T01:42:19.3348207Z test_dunder_package_present (test_misc.TestMisc) 2022-11-23T01:42:19.3348655Z The attribute '__torch_package__' should be populated on imported modules. ... ok (0.002s) 2022-11-23T01:42:19.3348961Z test_dunder_package_works_from_package (test_misc.TestMisc) 2022-11-23T01:42:19.3349315Z The attribute '__torch_package__' should be accessible from within ... ok (0.003s) 2022-11-23T01:42:19.3349595Z test_exporter_content_lists (test_misc.TestMisc) 2022-11-23T01:42:19.3349948Z Test content list API for PackageExporter's contained modules. ... ok (0.004s) 2022-11-23T01:42:19.3350221Z test_file_structure (test_misc.TestMisc) 2022-11-23T01:42:19.3350563Z Tests package's Directory structure representation of a zip file. Ensures ... ok (0.005s) 2022-11-23T01:42:19.3350856Z test_file_structure_has_file (test_misc.TestMisc) 2022-11-23T01:42:19.3351145Z Test Directory's has_file() method. ... ok (0.002s) 2022-11-23T01:42:19.3351369Z test_inspect_class (test_misc.TestMisc) 2022-11-23T01:42:19.3351627Z Should be able to retrieve source for a packaged class. ... ok (0.003s) 2022-11-23T01:42:19.3351883Z test_is_from_package (test_misc.TestMisc) 2022-11-23T01:42:19.3352129Z is_from_package should work for objects and modules ... ok (0.002s) 2022-11-23T01:42:19.3352448Z test_load_python_version_from_package (test_misc.TestMisc) 2022-11-23T01:42:19.3352732Z Tests loading a package with a python version embdded ... ok (0.005s) 2022-11-23T01:42:19.3352990Z test_python_version (test_misc.TestMisc) 2022-11-23T01:42:19.3353266Z Tests that the current python version is stored in the package and is available ... ok (0.004s) 2022-11-23T01:42:19.3353561Z test_std_lib_sys_hackery_checks (test_misc.TestMisc) 2022-11-23T01:42:19.3353850Z The standard library performs sys.module assignment hackery which ... ok (0.004s) 2022-11-23T01:42:19.3354242Z test_model_save (test_model.ModelTest) ... skip: Does not work with recent torchvision, see https://github.com/pytorch/pytorch/issues/81115 (0.002s) 2022-11-23T01:42:19.3354734Z test_resnet (test_model.ModelTest) ... skip: Does not work with recent torchvision, see https://github.com/pytorch/pytorch/issues/81115 (0.002s) 2022-11-23T01:42:19.3355193Z test_script_resnet (test_model.ModelTest) ... skip: Does not work with recent torchvision, see https://github.com/pytorch/pytorch/issues/81115 (0.001s) 2022-11-23T01:42:19.3355582Z test_package_fx_custom_tracer (test_package_fx.TestPackageFX) ... ok (0.015s) 2022-11-23T01:42:19.3355879Z test_package_fx_package (test_package_fx.TestPackageFX) ... ok (0.018s) 2022-11-23T01:42:19.3356177Z test_package_fx_simple (test_package_fx.TestPackageFX) ... ok (0.006s) 2022-11-23T01:42:19.3356480Z test_package_fx_with_imports (test_package_fx.TestPackageFX) ... ok (0.005s) 2022-11-23T01:42:19.3356780Z test_package_then_fx (test_package_fx.TestPackageFX) ... ok (0.004s) 2022-11-23T01:42:19.3357080Z test_different_package_interface (test_package_script.TestPackageScript) 2022-11-23T01:42:19.3357396Z Test a case where the interface defined in the package is ... ok (0.016s) 2022-11-23T01:42:19.3357713Z test_different_package_script_class (test_package_script.TestPackageScript) 2022-11-23T01:42:19.3358018Z Test a case where the script class defined in the package is ... ok (0.009s) 2022-11-23T01:42:19.3358333Z test_load_shared_scriptmodules (test_package_script.TestPackageScript) 2022-11-23T01:42:19.3358649Z Test loading of single ScriptModule shared by multiple eager ... ok (0.008s) 2022-11-23T01:42:19.3358955Z test_load_shared_tensors (test_package_script.TestPackageScript) 2022-11-23T01:42:19.3359245Z Test tensors shared across eager and ScriptModules on load ... ok (0.009s) 2022-11-23T01:42:19.3359562Z test_load_shared_tensors_repackaged (test_package_script.TestPackageScript) 2022-11-23T01:42:19.3359879Z Test tensors shared across eager and ScriptModules on load ... ok (0.012s) 2022-11-23T01:42:19.3360187Z test_mixing_packaged_and_inline_modules (test_package_script.TestPackageScript) 2022-11-23T01:42:19.3360511Z Test saving inline and imported modules in same package with ... ok (0.050s) 2022-11-23T01:42:19.3360846Z test_mixing_packaged_and_inline_modules_shared_code (test_package_script.TestPackageScript) 2022-11-23T01:42:19.3361178Z Test saving inline and imported modules in same package that ... ok (1.178s) 2022-11-23T01:42:19.3361469Z test_package_interface (test_package_script.TestPackageScript) 2022-11-23T01:42:19.3361766Z Packaging an interface class should work correctly. ... ok (0.041s) 2022-11-23T01:42:19.3362086Z test_package_script_class (test_package_script.TestPackageScript) ... ok (0.005s) 2022-11-23T01:42:19.3362432Z test_package_script_class_referencing_self (test_package_script.TestPackageScript) ... ok (0.013s) 2022-11-23T01:42:19.3362790Z test_save_eager_mods_sharing_scriptmodule (test_package_script.TestPackageScript) 2022-11-23T01:42:19.3363111Z Test saving of single ScriptModule shared by multiple ... ok (0.006s) 2022-11-23T01:42:19.3363418Z test_save_independent_scriptmodules (test_package_script.TestPackageScript) 2022-11-23T01:42:19.3363745Z Test to verify saving multiple ScriptModules with completely ... ok (0.009s) 2022-11-23T01:42:19.3364061Z test_save_repeat_scriptmodules (test_package_script.TestPackageScript) 2022-11-23T01:42:19.3364401Z Test to verify saving multiple different modules and ... ok (0.045s) 2022-11-23T01:42:19.3364688Z test_save_scriptmodule (test_package_script.TestPackageScript) 2022-11-23T01:42:19.3364964Z Test basic saving of ScriptModule. ... ok (0.005s) 2022-11-23T01:42:19.3365246Z test_save_scriptmodule_file (test_package_script.TestPackageScript) 2022-11-23T01:42:19.3365522Z Test basic saving of ScriptModule in file. ... ok (0.005s) 2022-11-23T01:42:19.3365828Z test_save_scriptmodule_only_necessary_code (test_package_script.TestPackageScript) 2022-11-23T01:42:19.3366148Z Test to verify when saving multiple packages with same CU ... ok (0.348s) 2022-11-23T01:42:19.3366494Z test_save_scriptmodule_with_submods (test_package_script.TestPackageScript) 2022-11-23T01:42:19.3366789Z Test basic saving of ScriptModule with submodule. ... ok (0.008s) 2022-11-23T01:42:19.3367097Z test_save_scriptmodules_in_container (test_package_script.TestPackageScript) 2022-11-23T01:42:19.3367434Z Test saving of ScriptModules inside of container. Checks that relations ... ok (0.037s) 2022-11-23T01:42:19.3367819Z test_save_scriptmodules_submod_redefinition (test_package_script.TestPackageScript) 2022-11-23T01:42:19.3368142Z Test to verify saving multiple ScriptModules with same top module ... ok (0.014s) 2022-11-23T01:42:19.3368448Z test_save_shared_tensors (test_package_script.TestPackageScript) 2022-11-23T01:42:19.3368769Z Test tensors shared across eager and ScriptModules are serialized once. ... ok (0.014s) 2022-11-23T01:42:19.3369092Z test_saving_and_scripting_packaged_mod (test_package_script.TestPackageScript) 2022-11-23T01:42:19.3369398Z Test scripting a module loaded from a package ... ok (0.009s) 2022-11-23T01:42:19.3369696Z test_scriptmodules_repeat_save (test_package_script.TestPackageScript) 2022-11-23T01:42:19.3370015Z Test to verify saving and loading same ScriptModule object works ... ok (0.012s) 2022-11-23T01:42:19.3370314Z test_tensor_sharing_pickle (test_package_script.TestPackageScript) 2022-11-23T01:42:19.3370629Z Test that saving a ScriptModule and a separately saving a tensor ... ok (0.005s) 2022-11-23T01:42:19.3370974Z test_repackage_import_indirectly_via_parent_module (test_repackage.TestRepackage) ... ok (0.006s) 2022-11-23T01:42:19.3371299Z test_importer_access (test_resources.TestResources) ... ok (0.002s) 2022-11-23T01:42:19.3371595Z test_package_resource_access (test_resources.TestResources) 2022-11-23T01:42:19.3371917Z Packaged modules should be able to use the importlib.resources API to access ... ok (0.002s) 2022-11-23T01:42:19.3372234Z test_resource_access_by_path (test_resources.TestResources) 2022-11-23T01:42:19.3372532Z Tests that packaged code can used importlib.resources.path. ... ok (0.002s) 2022-11-23T01:42:19.3372834Z test_resource_reader (test_resources.TestResources) 2022-11-23T01:42:19.3373125Z Test compliance with the get_resource_reader importlib API. ... ok (0.003s) 2022-11-23T01:42:19.3373396Z test_bad_dunder_imports (test_save_load.TestSaveLoad) 2022-11-23T01:42:19.3373781Z Test to ensure bad __imports__ don't cause PackageExporter to fail. ... ok (0.001s) 2022-11-23T01:42:19.3374086Z test_dunder_imports (test_save_load.TestSaveLoad) ... ok (0.003s) 2022-11-23T01:42:19.3374360Z test_exporting_mismatched_code (test_save_load.TestSaveLoad) 2022-11-23T01:42:19.3374670Z If an object with the same qualified name is loaded from different ... ok (0.006s) 2022-11-23T01:42:19.3374964Z test_pickle (test_save_load.TestSaveLoad) ... ok (0.002s) 2022-11-23T01:42:19.3375232Z test_save_imported_module (test_save_load.TestSaveLoad) 2022-11-23T01:42:19.3375518Z Saving a module that came from another PackageImporter should work. ... ok (0.002s) 2022-11-23T01:42:19.3375849Z test_save_imported_module_using_package_importer (test_save_load.TestSaveLoad) 2022-11-23T01:42:19.3376272Z Exercise a corner case: re-packaging a module that uses `torch_package_importer` ... ok (0.002s) 2022-11-23T01:42:19.3376576Z test_save_module (test_save_load.TestSaveLoad) ... ok (0.002s) 2022-11-23T01:42:19.3376899Z test_save_module_binary (test_save_load.TestSaveLoad) ... ok (0.002s) 2022-11-23T01:42:19.3377191Z test_saving_source (test_save_load.TestSaveLoad) ... ok (0.005s) 2022-11-23T01:42:19.3377472Z test_saving_string (test_save_load.TestSaveLoad) ... ok (0.001s) 2022-11-23T01:42:19.3377620Z 2022-11-23T01:42:19.3377822Z ---------------------------------------------------------------------- 2022-11-23T01:42:19.3378068Z Ran 132 tests in 2.509s 2022-11-23T01:42:19.3378183Z 2022-11-23T01:42:19.3378258Z OK (skipped=5) 2022-11-23T01:42:19.3378366Z 2022-11-23T01:42:19.3378439Z Generating XML reports... 2022-11-23T01:42:19.3379349Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_dependency_api.TestDependencyAPI-20221123014216.xml 2022-11-23T01:42:19.3380011Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_dependency_hooks.TestDependencyHooks-20221123014216.xml 2022-11-23T01:42:19.3380563Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_digraph.TestDiGraph-20221123014216.xml 2022-11-23T01:42:19.3381115Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_directory_reader.DirectoryReaderTest-20221123014216.xml 2022-11-23T01:42:19.3381674Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_glob_group.TestGlobGroup-20221123014216.xml 2022-11-23T01:42:19.3382205Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_importer.TestImporter-20221123014216.xml 2022-11-23T01:42:19.3382769Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_load_bc_packages.TestLoadBCPackages-20221123014216.xml 2022-11-23T01:42:19.3383310Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_mangling.TestMangling-20221123014216.xml 2022-11-23T01:42:19.3383817Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_misc.TestMisc-20221123014216.xml 2022-11-23T01:42:19.3384322Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_package_fx.TestPackageFX-20221123014216.xml 2022-11-23T01:42:19.3384869Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_package_script.TestPackageScript-20221123014216.xml 2022-11-23T01:42:19.3385401Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_repackage.TestRepackage-20221123014216.xml 2022-11-23T01:42:19.3385932Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_resources.TestResources-20221123014216.xml 2022-11-23T01:42:19.3386455Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_save_load.TestSaveLoad-20221123014216.xml 2022-11-23T01:42:19.3386960Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_analyze.TestAnalyze-20221123014216.xml 2022-11-23T01:42:19.3387458Z Generated XML report: test-reports/python-unittest/test_package/TEST-test_model.ModelTest-20221123014216.xml 2022-11-23T01:42:19.3387680Z 2022-11-23T01:42:19.3387982Z ##[endgroup] 2022-11-23T01:42:19.3388413Z FINISHED PRINTING LOG FILE of test_package (/var/lib/jenkins/workspace/test/test-reports/test_package_fadf230x) 2022-11-23T01:42:19.3388632Z 2022-11-23T01:42:20.6172889Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:42:20.7573367Z Ignoring disabled issues: [] 2022-11-23T01:42:20.7750669Z Running lazy/test_step_closures ... [2022-11-23 01:42:20.774769] 2022-11-23T01:42:20.7752997Z Executing ['/opt/conda/bin/python', '-bb', 'lazy/test_step_closures.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:42:20.775046] 2022-11-23T01:42:21.2239290Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:42:21.3486349Z Ignoring disabled issues: [] 2022-11-23T01:42:21.3657706Z Running test_logging ... [2022-11-23 01:42:21.365437] 2022-11-23T01:42:21.3659638Z Executing ['/opt/conda/bin/python', '-bb', 'test_logging.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:42:21.365690] 2022-11-23T01:42:24.6871060Z 2022-11-23T01:42:24.6871908Z Expand the folded group to see the log file of lazy/test_step_closures 2022-11-23T01:42:24.6873263Z ##[group]PRINTING LOG FILE of lazy/test_step_closures (/var/lib/jenkins/workspace/test/test-reports/lazy-test_step_closures_2yt1d2mh) 2022-11-23T01:42:24.6874277Z Test results will be stored in test-reports/python-unittest/lazy.test_step_closures 2022-11-23T01:42:24.6874654Z 2022-11-23T01:42:24.6874803Z Running tests... 2022-11-23T01:42:24.6875371Z ---------------------------------------------------------------------- 2022-11-23T01:42:24.6875933Z test_asynchronous (__main__.ClosuresTest) ... ok (0.264s) 2022-11-23T01:42:24.6876482Z test_asynchronous_exception (__main__.ClosuresTest) ... ok (1.001s) 2022-11-23T01:42:24.6877158Z test_synchronous (__main__.ClosuresTest) ... ok (1.002s) 2022-11-23T01:42:24.6877697Z test_synchronous_exception (__main__.ClosuresTest) ... ok (0.002s) 2022-11-23T01:42:24.6878016Z 2022-11-23T01:42:24.6878395Z ---------------------------------------------------------------------- 2022-11-23T01:42:24.6878882Z Ran 4 tests in 2.270s 2022-11-23T01:42:24.6879091Z 2022-11-23T01:42:24.6879221Z OK 2022-11-23T01:42:24.6879410Z 2022-11-23T01:42:24.6879584Z Generating XML reports... 2022-11-23T01:42:24.6880395Z Generated XML report: test-reports/python-unittest/lazy.test_step_closures/TEST-ClosuresTest-20221123014222.xml 2022-11-23T01:42:24.6880845Z 2022-11-23T01:42:24.6881287Z ##[endgroup] 2022-11-23T01:42:24.6882086Z FINISHED PRINTING LOG FILE of lazy/test_step_closures (/var/lib/jenkins/workspace/test/test-reports/lazy-test_step_closures_2yt1d2mh) 2022-11-23T01:42:24.6882550Z 2022-11-23T01:42:24.8327045Z 2022-11-23T01:42:24.8327620Z Expand the folded group to see the log file of test_logging 2022-11-23T01:42:24.8328674Z ##[group]PRINTING LOG FILE of test_logging (/var/lib/jenkins/workspace/test/test-reports/test_logging_89_8c68o) 2022-11-23T01:42:24.8329556Z Test results will be stored in test-reports/python-unittest/test_logging 2022-11-23T01:42:24.8329830Z 2022-11-23T01:42:24.8329955Z Running tests... 2022-11-23T01:42:24.8330480Z ---------------------------------------------------------------------- 2022-11-23T01:42:24.8330922Z testApiUsage (__main__.LoggingTest) 2022-11-23T01:42:24.8331418Z This test verifies that api usage logging is not triggered via static ... ok (1.895s) 2022-11-23T01:42:24.8331738Z 2022-11-23T01:42:24.8332091Z ---------------------------------------------------------------------- 2022-11-23T01:42:24.8332503Z Ran 1 test in 1.895s 2022-11-23T01:42:24.8332703Z 2022-11-23T01:42:24.8332811Z OK 2022-11-23T01:42:24.8332969Z 2022-11-23T01:42:24.8333103Z Generating XML reports... 2022-11-23T01:42:24.8333512Z Generated XML report: test-reports/python-unittest/test_logging/TEST-LoggingTest-20221123014222.xml 2022-11-23T01:42:24.8333722Z 2022-11-23T01:42:24.8333944Z ##[endgroup] 2022-11-23T01:42:24.8334319Z FINISHED PRINTING LOG FILE of test_logging (/var/lib/jenkins/workspace/test/test-reports/test_logging_89_8c68o) 2022-11-23T01:42:24.8334526Z 2022-11-23T01:42:26.5979026Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:42:26.7367441Z Ignoring disabled issues: [] 2022-11-23T01:42:26.7539393Z Running test_expanded_weights ... [2022-11-23 01:42:26.753670] 2022-11-23T01:42:26.7542083Z Executing ['/opt/conda/bin/python', '-bb', 'test_expanded_weights.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:42:26.754000] 2022-11-23T01:42:26.8231054Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:42:26.9455418Z Ignoring disabled issues: [] 2022-11-23T01:42:26.9629428Z Running test_scatter_gather_ops ... [2022-11-23 01:42:26.962607] 2022-11-23T01:42:26.9631083Z Executing ['/opt/conda/bin/python', '-bb', 'test_scatter_gather_ops.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:42:26.962900] 2022-11-23T01:42:30.6611587Z 2022-11-23T01:42:30.6612603Z Expand the folded group to see the log file of test_scatter_gather_ops 2022-11-23T01:42:30.6613919Z ##[group]PRINTING LOG FILE of test_scatter_gather_ops (/var/lib/jenkins/workspace/test/test-reports/test_scatter_gather_ops_kjoxvvr7) 2022-11-23T01:42:30.6614852Z Test results will be stored in test-reports/python-unittest/test_scatter_gather_ops 2022-11-23T01:42:30.6615150Z 2022-11-23T01:42:30.6615262Z Running tests... 2022-11-23T01:42:30.6615801Z ---------------------------------------------------------------------- 2022-11-23T01:42:30.6616386Z test_gather_backward_with_empty_index_tensor_sparse_grad_False_cpu_float32 (__main__.TestScatterGatherCPU) ... ok (0.003s) 2022-11-23T01:42:30.6617165Z test_gather_backward_with_empty_index_tensor_sparse_grad_False_cpu_float64 (__main__.TestScatterGatherCPU) ... ok (0.001s) 2022-11-23T01:42:30.6617983Z test_gather_backward_with_empty_index_tensor_sparse_grad_True_cpu_float32 (__main__.TestScatterGatherCPU) ... ok (0.002s) 2022-11-23T01:42:30.6618717Z test_gather_backward_with_empty_index_tensor_sparse_grad_True_cpu_float64 (__main__.TestScatterGatherCPU) ... ok (0.001s) 2022-11-23T01:42:30.6619512Z test_gather_bool_cpu_bool (__main__.TestScatterGatherCPU) ... ok (0.001s) 2022-11-23T01:42:30.6620049Z test_gather_cpu_complex64 (__main__.TestScatterGatherCPU) ... ok (0.009s) 2022-11-23T01:42:30.6620600Z test_gather_cpu_float32 (__main__.TestScatterGatherCPU) ... ok (0.009s) 2022-11-23T01:42:30.6621123Z test_scatter__cpu_complex64 (__main__.TestScatterGatherCPU) ... ok (0.013s) 2022-11-23T01:42:30.6621438Z test_scatter__cpu_float16 (__main__.TestScatterGatherCPU) ... ok (0.012s) 2022-11-23T01:42:30.6621726Z test_scatter__cpu_float32 (__main__.TestScatterGatherCPU) ... ok (0.012s) 2022-11-23T01:42:30.6622047Z test_scatter__reductions_cpu_complex64 (__main__.TestScatterGatherCPU) ... ok (0.136s) 2022-11-23T01:42:30.6622381Z test_scatter__reductions_cpu_float16 (__main__.TestScatterGatherCPU) ... ok (0.137s) 2022-11-23T01:42:30.6622697Z test_scatter__reductions_cpu_float32 (__main__.TestScatterGatherCPU) ... ok (0.136s) 2022-11-23T01:42:30.6623025Z test_scatter__scalar_cpu_complex64 (__main__.TestScatterGatherCPU) ... ok (0.012s) 2022-11-23T01:42:30.6623344Z test_scatter__scalar_cpu_float16 (__main__.TestScatterGatherCPU) ... ok (0.012s) 2022-11-23T01:42:30.6623659Z test_scatter__scalar_cpu_float32 (__main__.TestScatterGatherCPU) ... ok (0.011s) 2022-11-23T01:42:30.6623960Z test_scatter_add__cpu_complex64 (__main__.TestScatterGatherCPU) ... ok (0.014s) 2022-11-23T01:42:30.6624272Z test_scatter_add__cpu_float16 (__main__.TestScatterGatherCPU) ... ok (0.014s) 2022-11-23T01:42:30.6624579Z test_scatter_add__cpu_float32 (__main__.TestScatterGatherCPU) ... ok (0.014s) 2022-11-23T01:42:30.6624894Z test_scatter_add_mult_index_base_cpu_float32 (__main__.TestScatterGatherCPU) ... ok (0.002s) 2022-11-23T01:42:30.6625457Z test_scatter_reduce_amax_cpu_bfloat16 (__main__.TestScatterGatherCPU) ... test_scatter_gather_ops.py:107: UserWarning: scatter_reduce() is in beta and the API may change at any time. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1681.) 2022-11-23T01:42:30.6625996Z actual = fn(base.clone(), dim, idx, src, reduce=reduction, include_self=include_self) 2022-11-23T01:42:30.6626237Z ok (0.022s) 2022-11-23T01:42:30.6626482Z test_scatter_reduce_amax_cpu_bool (__main__.TestScatterGatherCPU) ... ok (0.021s) 2022-11-23T01:42:30.6626792Z test_scatter_reduce_amax_cpu_float16 (__main__.TestScatterGatherCPU) ... ok (0.022s) 2022-11-23T01:42:30.6627118Z test_scatter_reduce_amax_cpu_float32 (__main__.TestScatterGatherCPU) ... ok (0.022s) 2022-11-23T01:42:30.6627444Z test_scatter_reduce_amax_cpu_float64 (__main__.TestScatterGatherCPU) ... ok (0.021s) 2022-11-23T01:42:30.6627760Z test_scatter_reduce_amax_cpu_int16 (__main__.TestScatterGatherCPU) ... ok (0.021s) 2022-11-23T01:42:30.6628081Z test_scatter_reduce_amax_cpu_int32 (__main__.TestScatterGatherCPU) ... ok (0.021s) 2022-11-23T01:42:30.6628479Z test_scatter_reduce_amax_cpu_int64 (__main__.TestScatterGatherCPU) ... ok (0.021s) 2022-11-23T01:42:30.6628888Z test_scatter_reduce_amax_cpu_int8 (__main__.TestScatterGatherCPU) ... ok (0.021s) 2022-11-23T01:42:30.6629201Z test_scatter_reduce_amax_cpu_uint8 (__main__.TestScatterGatherCPU) ... ok (0.021s) 2022-11-23T01:42:30.6629528Z test_scatter_reduce_amin_cpu_bfloat16 (__main__.TestScatterGatherCPU) ... ok (0.022s) 2022-11-23T01:42:30.6629854Z test_scatter_reduce_amin_cpu_bool (__main__.TestScatterGatherCPU) ... ok (0.021s) 2022-11-23T01:42:30.6630166Z test_scatter_reduce_amin_cpu_float16 (__main__.TestScatterGatherCPU) ... ok (0.030s) 2022-11-23T01:42:30.6630492Z test_scatter_reduce_amin_cpu_float32 (__main__.TestScatterGatherCPU) ... ok (0.031s) 2022-11-23T01:42:30.6630863Z test_scatter_reduce_amin_cpu_float64 (__main__.TestScatterGatherCPU) ... ok (0.025s) 2022-11-23T01:42:30.6631188Z test_scatter_reduce_amin_cpu_int16 (__main__.TestScatterGatherCPU) ... ok (0.025s) 2022-11-23T01:42:30.6631495Z test_scatter_reduce_amin_cpu_int32 (__main__.TestScatterGatherCPU) ... ok (0.024s) 2022-11-23T01:42:30.6631815Z test_scatter_reduce_amin_cpu_int64 (__main__.TestScatterGatherCPU) ... ok (0.024s) 2022-11-23T01:42:30.6632139Z test_scatter_reduce_amin_cpu_int8 (__main__.TestScatterGatherCPU) ... ok (0.023s) 2022-11-23T01:42:30.6632443Z test_scatter_reduce_amin_cpu_uint8 (__main__.TestScatterGatherCPU) ... ok (0.026s) 2022-11-23T01:42:30.6632763Z test_scatter_reduce_mean_cpu_bfloat16 (__main__.TestScatterGatherCPU) ... ok (0.031s) 2022-11-23T01:42:30.6633093Z test_scatter_reduce_mean_cpu_complex128 (__main__.TestScatterGatherCPU) ... ok (0.028s) 2022-11-23T01:42:30.6633425Z test_scatter_reduce_mean_cpu_complex64 (__main__.TestScatterGatherCPU) ... ok (0.021s) 2022-11-23T01:42:30.6633742Z test_scatter_reduce_mean_cpu_float16 (__main__.TestScatterGatherCPU) ... ok (0.021s) 2022-11-23T01:42:30.6634065Z test_scatter_reduce_mean_cpu_float32 (__main__.TestScatterGatherCPU) ... ok (0.020s) 2022-11-23T01:42:30.6634387Z test_scatter_reduce_mean_cpu_float64 (__main__.TestScatterGatherCPU) ... ok (0.020s) 2022-11-23T01:42:30.6634710Z test_scatter_reduce_mean_cpu_int16 (__main__.TestScatterGatherCPU) ... ok (0.020s) 2022-11-23T01:42:30.6635012Z test_scatter_reduce_mean_cpu_int32 (__main__.TestScatterGatherCPU) ... ok (0.020s) 2022-11-23T01:42:30.6635330Z test_scatter_reduce_mean_cpu_int64 (__main__.TestScatterGatherCPU) ... ok (0.019s) 2022-11-23T01:42:30.6635649Z test_scatter_reduce_mean_cpu_int8 (__main__.TestScatterGatherCPU) ... ok (0.020s) 2022-11-23T01:42:30.6635953Z test_scatter_reduce_mean_cpu_uint8 (__main__.TestScatterGatherCPU) ... ok (0.020s) 2022-11-23T01:42:30.6636279Z test_scatter_reduce_prod_cpu_bfloat16 (__main__.TestScatterGatherCPU) ... ok (0.020s) 2022-11-23T01:42:30.6636602Z test_scatter_reduce_prod_cpu_bool (__main__.TestScatterGatherCPU) ... ok (0.019s) 2022-11-23T01:42:30.6636928Z test_scatter_reduce_prod_cpu_complex128 (__main__.TestScatterGatherCPU) ... ok (0.020s) 2022-11-23T01:42:30.6637252Z test_scatter_reduce_prod_cpu_complex64 (__main__.TestScatterGatherCPU) ... ok (0.020s) 2022-11-23T01:42:30.6637581Z test_scatter_reduce_prod_cpu_float16 (__main__.TestScatterGatherCPU) ... ok (0.020s) 2022-11-23T01:42:30.6637900Z test_scatter_reduce_prod_cpu_float32 (__main__.TestScatterGatherCPU) ... ok (0.020s) 2022-11-23T01:42:30.6638211Z test_scatter_reduce_prod_cpu_float64 (__main__.TestScatterGatherCPU) ... ok (0.019s) 2022-11-23T01:42:30.6638531Z test_scatter_reduce_prod_cpu_int16 (__main__.TestScatterGatherCPU) ... ok (0.019s) 2022-11-23T01:42:30.6638848Z test_scatter_reduce_prod_cpu_int32 (__main__.TestScatterGatherCPU) ... ok (0.020s) 2022-11-23T01:42:30.6639164Z test_scatter_reduce_prod_cpu_int64 (__main__.TestScatterGatherCPU) ... ok (0.019s) 2022-11-23T01:42:30.6639474Z test_scatter_reduce_prod_cpu_int8 (__main__.TestScatterGatherCPU) ... ok (0.019s) 2022-11-23T01:42:30.6639797Z test_scatter_reduce_prod_cpu_uint8 (__main__.TestScatterGatherCPU) ... ok (0.020s) 2022-11-23T01:42:30.6640159Z test_scatter_reduce_sum_cpu_bfloat16 (__main__.TestScatterGatherCPU) ... ok (0.020s) 2022-11-23T01:42:30.6640474Z test_scatter_reduce_sum_cpu_complex128 (__main__.TestScatterGatherCPU) ... ok (0.021s) 2022-11-23T01:42:30.6640800Z test_scatter_reduce_sum_cpu_complex64 (__main__.TestScatterGatherCPU) ... ok (0.020s) 2022-11-23T01:42:30.6641127Z test_scatter_reduce_sum_cpu_float16 (__main__.TestScatterGatherCPU) ... ok (0.020s) 2022-11-23T01:42:30.6641447Z test_scatter_reduce_sum_cpu_float32 (__main__.TestScatterGatherCPU) ... ok (0.021s) 2022-11-23T01:42:30.6641754Z test_scatter_reduce_sum_cpu_float64 (__main__.TestScatterGatherCPU) ... ok (0.020s) 2022-11-23T01:42:30.6642070Z test_scatter_reduce_sum_cpu_int16 (__main__.TestScatterGatherCPU) ... ok (0.020s) 2022-11-23T01:42:30.6642420Z test_scatter_reduce_sum_cpu_int32 (__main__.TestScatterGatherCPU) ... ok (0.020s) 2022-11-23T01:42:30.6642722Z test_scatter_reduce_sum_cpu_int64 (__main__.TestScatterGatherCPU) ... ok (0.020s) 2022-11-23T01:42:30.6643040Z test_scatter_reduce_sum_cpu_int8 (__main__.TestScatterGatherCPU) ... ok (0.022s) 2022-11-23T01:42:30.6643357Z test_scatter_reduce_sum_cpu_uint8 (__main__.TestScatterGatherCPU) ... ok (0.020s) 2022-11-23T01:42:30.6643535Z 2022-11-23T01:42:30.6643794Z ---------------------------------------------------------------------- 2022-11-23T01:42:30.6644022Z Ran 74 tests in 1.719s 2022-11-23T01:42:30.6644138Z 2022-11-23T01:42:30.6644202Z OK 2022-11-23T01:42:30.6644296Z 2022-11-23T01:42:30.6644385Z Generating XML reports... 2022-11-23T01:42:30.6644825Z Generated XML report: test-reports/python-unittest/test_scatter_gather_ops/TEST-TestScatterGatherCPU-20221123014228.xml 2022-11-23T01:42:30.6645086Z 2022-11-23T01:42:30.6645364Z ##[endgroup] 2022-11-23T01:42:30.6645774Z FINISHED PRINTING LOG FILE of test_scatter_gather_ops (/var/lib/jenkins/workspace/test/test-reports/test_scatter_gather_ops_kjoxvvr7) 2022-11-23T01:42:30.6646007Z 2022-11-23T01:42:31.7315448Z 2022-11-23T01:42:31.7353223Z Expand the folded group to see the log file of test_expanded_weights 2022-11-23T01:42:31.7353971Z ##[group]PRINTING LOG FILE of test_expanded_weights (/var/lib/jenkins/workspace/test/test-reports/test_expanded_weights_jcoe8z8l) 2022-11-23T01:42:31.7354533Z Test results will be stored in test-reports/python-unittest/test_expanded_weights 2022-11-23T01:42:31.7354726Z 2022-11-23T01:42:31.7354800Z Running tests... 2022-11-23T01:42:31.7355100Z ---------------------------------------------------------------------- 2022-11-23T01:42:31.7355440Z test_cnn_model_mean_cpu (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.226s) 2022-11-23T01:42:31.7355796Z test_cnn_model_sum_cpu (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.206s) 2022-11-23T01:42:31.7356156Z test_embedding_model_cpu (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.014s) 2022-11-23T01:42:31.7356509Z test_expanded_weight_error_cpu (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.001s) 2022-11-23T01:42:31.7356916Z test_expanded_weight_forward_nn_functional_conv1d_cpu_bfloat16 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.013s) 2022-11-23T01:42:31.7357351Z test_expanded_weight_forward_nn_functional_conv1d_cpu_complex128 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.012s) 2022-11-23T01:42:31.7357775Z test_expanded_weight_forward_nn_functional_conv1d_cpu_complex64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.013s) 2022-11-23T01:42:31.7358212Z test_expanded_weight_forward_nn_functional_conv1d_cpu_float32 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.005s) 2022-11-23T01:42:31.7358787Z test_expanded_weight_forward_nn_functional_conv1d_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.007s) 2022-11-23T01:42:31.7359221Z test_expanded_weight_forward_nn_functional_conv1d_cpu_int64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.006s) 2022-11-23T01:42:31.7362743Z test_expanded_weight_forward_nn_functional_conv2d_cpu_bfloat16 (__main__.TestExpandedWeightFunctionalCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/opinfo/core.py:1068: UserWarning: Using padding='same' with even kernel lengths and odd dilation may require a zero-padded copy of the input be created (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Convolution.cpp:996.) 2022-11-23T01:42:31.7363484Z return self.op(*args, **kwargs) 2022-11-23T01:42:31.7364832Z ok (0.016s) 2022-11-23T01:42:31.7365951Z test_expanded_weight_forward_nn_functional_conv2d_cpu_complex128 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.041s) 2022-11-23T01:42:31.7367170Z test_expanded_weight_forward_nn_functional_conv2d_cpu_complex64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.060s) 2022-11-23T01:42:31.7368596Z test_expanded_weight_forward_nn_functional_conv2d_cpu_float32 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.013s) 2022-11-23T01:42:31.7369747Z test_expanded_weight_forward_nn_functional_conv2d_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.019s) 2022-11-23T01:42:31.7370874Z test_expanded_weight_forward_nn_functional_conv2d_cpu_int64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.017s) 2022-11-23T01:42:31.7372009Z test_expanded_weight_forward_nn_functional_embedding_cpu_bfloat16 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.005s) 2022-11-23T01:42:31.7373173Z test_expanded_weight_forward_nn_functional_embedding_cpu_float16 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.005s) 2022-11-23T01:42:31.7374329Z test_expanded_weight_forward_nn_functional_embedding_cpu_float32 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.005s) 2022-11-23T01:42:31.7375473Z test_expanded_weight_forward_nn_functional_embedding_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.005s) 2022-11-23T01:42:31.7376604Z test_expanded_weight_forward_nn_functional_group_norm_cpu_bfloat16 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.010s) 2022-11-23T01:42:31.7377797Z test_expanded_weight_forward_nn_functional_group_norm_cpu_float32 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.010s) 2022-11-23T01:42:31.7379176Z test_expanded_weight_forward_nn_functional_group_norm_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.010s) 2022-11-23T01:42:31.7380404Z test_expanded_weight_forward_nn_functional_instance_norm_cpu_bfloat16 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.011s) 2022-11-23T01:42:31.7381581Z test_expanded_weight_forward_nn_functional_instance_norm_cpu_float32 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.011s) 2022-11-23T01:42:31.7382726Z test_expanded_weight_forward_nn_functional_instance_norm_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.011s) 2022-11-23T01:42:31.7383891Z test_expanded_weight_forward_nn_functional_layer_norm_cpu_bfloat16 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.003s) 2022-11-23T01:42:31.7385215Z test_expanded_weight_forward_nn_functional_layer_norm_cpu_float32 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.003s) 2022-11-23T01:42:31.7386385Z test_expanded_weight_forward_nn_functional_layer_norm_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.003s) 2022-11-23T01:42:31.7387528Z test_expanded_weight_forward_nn_functional_linear_cpu_bfloat16 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.005s) 2022-11-23T01:42:31.7388751Z test_expanded_weight_forward_nn_functional_linear_cpu_complex128 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.006s) 2022-11-23T01:42:31.7389923Z test_expanded_weight_forward_nn_functional_linear_cpu_complex64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.006s) 2022-11-23T01:42:31.7391073Z test_expanded_weight_forward_nn_functional_linear_cpu_float32 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.005s) 2022-11-23T01:42:31.7392220Z test_expanded_weight_forward_nn_functional_linear_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.005s) 2022-11-23T01:42:31.7393334Z test_expanded_weight_forward_nn_functional_linear_cpu_int16 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.004s) 2022-11-23T01:42:31.7394605Z test_expanded_weight_forward_nn_functional_linear_cpu_int32 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.004s) 2022-11-23T01:42:31.7395756Z test_expanded_weight_forward_nn_functional_linear_cpu_int64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.004s) 2022-11-23T01:42:31.7396904Z test_expanded_weight_forward_nn_functional_linear_cpu_int8 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.004s) 2022-11-23T01:42:31.7398030Z test_expanded_weight_forward_nn_functional_linear_cpu_uint8 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.004s) 2022-11-23T01:42:31.7399198Z test_expanded_weight_per_sample_grad_mean_nn_functional_conv1d_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.010s) 2022-11-23T01:42:31.7400493Z test_expanded_weight_per_sample_grad_mean_nn_functional_conv2d_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.032s) 2022-11-23T01:42:31.7401713Z test_expanded_weight_per_sample_grad_mean_nn_functional_embedding_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.002s) 2022-11-23T01:42:31.7402922Z test_expanded_weight_per_sample_grad_mean_nn_functional_group_norm_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.023s) 2022-11-23T01:42:31.7404149Z test_expanded_weight_per_sample_grad_mean_nn_functional_instance_norm_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.020s) 2022-11-23T01:42:31.7405588Z test_expanded_weight_per_sample_grad_mean_nn_functional_layer_norm_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.004s) 2022-11-23T01:42:31.7406872Z test_expanded_weight_per_sample_grad_mean_nn_functional_linear_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.013s) 2022-11-23T01:42:31.7408085Z test_expanded_weight_per_sample_grad_sum_nn_functional_conv1d_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.009s) 2022-11-23T01:42:31.7409278Z test_expanded_weight_per_sample_grad_sum_nn_functional_conv2d_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.033s) 2022-11-23T01:42:31.7410467Z test_expanded_weight_per_sample_grad_sum_nn_functional_embedding_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.002s) 2022-11-23T01:42:31.7411695Z test_expanded_weight_per_sample_grad_sum_nn_functional_group_norm_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.023s) 2022-11-23T01:42:31.7412917Z test_expanded_weight_per_sample_grad_sum_nn_functional_instance_norm_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.021s) 2022-11-23T01:42:31.7414133Z test_expanded_weight_per_sample_grad_sum_nn_functional_layer_norm_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.004s) 2022-11-23T01:42:31.7415350Z test_expanded_weight_per_sample_grad_sum_nn_functional_linear_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.013s) 2022-11-23T01:42:31.7416555Z test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_conv1d_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.008s) 2022-11-23T01:42:31.7417824Z test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_conv2d_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.027s) 2022-11-23T01:42:31.7419143Z test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_embedding_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.002s) 2022-11-23T01:42:31.7420639Z test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_group_norm_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.018s) 2022-11-23T01:42:31.7421921Z test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_instance_norm_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.015s) 2022-11-23T01:42:31.7423266Z test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_layer_norm_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.003s) 2022-11-23T01:42:31.7424595Z test_expanded_weights_per_sample_grad_input_no_grad_nn_functional_linear_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.011s) 2022-11-23T01:42:31.7425728Z test_group_norm_error_cpu (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.004s) 2022-11-23T01:42:31.7426736Z test_group_norm_model_num_dim_1_cpu (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.030s) 2022-11-23T01:42:31.7427728Z test_group_norm_model_num_dim_2_cpu (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.036s) 2022-11-23T01:42:31.7428788Z test_group_norm_model_num_dim_3_cpu (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.118s) 2022-11-23T01:42:31.7429834Z test_instance_norm_model_num_dim_1_cpu (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.034s) 2022-11-23T01:42:31.7430939Z test_instance_norm_model_num_dim_2_cpu (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.039s) 2022-11-23T01:42:31.7431962Z test_instance_norm_model_num_dim_3_cpu (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.119s) 2022-11-23T01:42:31.7432946Z test_layer_norm_model_num_dim_1_cpu (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.033s) 2022-11-23T01:42:31.7433975Z test_layer_norm_model_num_dim_2_cpu (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.033s) 2022-11-23T01:42:31.7434992Z test_layer_norm_model_num_dim_3_cpu (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.095s) 2022-11-23T01:42:31.7436109Z test_unsupported_expand_weights_nn_functional_conv1d_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.004s) 2022-11-23T01:42:31.7437248Z test_unsupported_expand_weights_nn_functional_conv2d_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.007s) 2022-11-23T01:42:31.7438417Z test_unsupported_expand_weights_nn_functional_embedding_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.002s) 2022-11-23T01:42:31.7439598Z test_unsupported_expand_weights_nn_functional_group_norm_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.003s) 2022-11-23T01:42:31.7440779Z test_unsupported_expand_weights_nn_functional_instance_norm_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.002s) 2022-11-23T01:42:31.7441969Z test_unsupported_expand_weights_nn_functional_layer_norm_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.002s) 2022-11-23T01:42:31.7443114Z test_unsupported_expand_weights_nn_functional_linear_cpu_float64 (__main__.TestExpandedWeightFunctionalCPU) ... ok (0.003s) 2022-11-23T01:42:31.7444205Z test_forward_helper_cpu (__main__.TestExpandedWeightHelperFunctionCPU) ... ok (0.003s) 2022-11-23T01:42:31.7445265Z test_forward_helper_failure_args_cpu (__main__.TestExpandedWeightHelperFunctionCPU) ... ok (0.003s) 2022-11-23T01:42:31.7446321Z test_set_grad_sample_if_exists_cpu (__main__.TestExpandedWeightHelperFunctionCPU) ... ok (0.001s) 2022-11-23T01:42:31.7447365Z test_set_grad_sample_if_exists_failure_cpu (__main__.TestExpandedWeightHelperFunctionCPU) ... ok (0.001s) 2022-11-23T01:42:31.7448453Z test_sum_over_all_but_batch_and_last_n_cpu (__main__.TestExpandedWeightHelperFunctionCPU) ... ok (0.002s) 2022-11-23T01:42:31.7449563Z test_unpack_expanded_weight_or_tensor_cpu (__main__.TestExpandedWeightHelperFunctionCPU) ... ok (0.001s) 2022-11-23T01:42:31.7450690Z test_unpack_expanded_weight_or_tensor_failure_cpu (__main__.TestExpandedWeightHelperFunctionCPU) ... ok (0.001s) 2022-11-23T01:42:31.7452390Z test_unpack_expanded_weight_or_tensor_with_custom_function_cpu (__main__.TestExpandedWeightHelperFunctionCPU) ... ok (0.001s) 2022-11-23T01:42:31.7453322Z test_Conv1d (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7453979Z test_Conv1d_circular_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7454738Z test_Conv1d_circular_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.010s) 2022-11-23T01:42:31.7455484Z test_Conv1d_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.004s) 2022-11-23T01:42:31.7456135Z test_Conv1d_pad1 (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7457042Z test_Conv1d_pad1_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.004s) 2022-11-23T01:42:31.7457751Z test_Conv1d_pad1size1 (__main__.TestExpandedWeightModule) ... ok (0.002s) 2022-11-23T01:42:31.7458459Z test_Conv1d_pad1size1_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7459205Z test_Conv1d_pad2 (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7459888Z test_Conv1d_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.004s) 2022-11-23T01:42:31.7460570Z test_Conv1d_pad2size1 (__main__.TestExpandedWeightModule) ... ok (0.002s) 2022-11-23T01:42:31.7461256Z test_Conv1d_pad2size1_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7462081Z test_Conv1d_reflect_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7462838Z test_Conv1d_reflect_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7463607Z test_Conv1d_replicate_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7464357Z test_Conv1d_replicate_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7465083Z test_Conv1d_stride (__main__.TestExpandedWeightModule) ... ok (0.004s) 2022-11-23T01:42:31.7465775Z test_Conv1d_stride_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.004s) 2022-11-23T01:42:31.7466961Z test_Conv1d_zero_batch (__main__.TestExpandedWeightModule) ... skip: Can't get per sample gradients when no batch dim or batch dim is 0 (0.001s) 2022-11-23T01:42:31.7468241Z test_Conv1d_zero_batch_multiple_inputs (__main__.TestExpandedWeightModule) ... skip: Can't get per sample gradients when no batch dim or batch dim is 0 (0.001s) 2022-11-23T01:42:31.7469165Z test_Conv1d_zeros_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7469913Z test_Conv1d_zeros_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7470592Z test_Conv2d (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7471261Z test_Conv2d_circular_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.004s) 2022-11-23T01:42:31.7472019Z test_Conv2d_circular_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.004s) 2022-11-23T01:42:31.7472741Z test_Conv2d_dilated (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7473424Z test_Conv2d_dilated_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.004s) 2022-11-23T01:42:31.7474134Z test_Conv2d_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.004s) 2022-11-23T01:42:31.7474803Z test_Conv2d_no_bias (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7475462Z test_Conv2d_no_bias_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7476160Z test_Conv2d_padding (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7476867Z test_Conv2d_padding_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.004s) 2022-11-23T01:42:31.7477589Z test_Conv2d_reflect_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7478330Z test_Conv2d_reflect_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7479100Z test_Conv2d_replicate_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7479887Z test_Conv2d_replicate_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7480600Z test_Conv2d_strided (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7481316Z test_Conv2d_strided_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.004s) 2022-11-23T01:42:31.7482422Z test_Conv2d_zero_batch (__main__.TestExpandedWeightModule) ... skip: Can't get per sample gradients when no batch dim or batch dim is 0 (0.001s) 2022-11-23T01:42:31.7483783Z test_Conv2d_zero_batch_multiple_inputs (__main__.TestExpandedWeightModule) ... skip: Can't get per sample gradients when no batch dim or batch dim is 0 (0.001s) 2022-11-23T01:42:31.7484646Z test_Conv2d_zeros_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7485415Z test_Conv2d_zeros_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7486127Z test_Conv3d (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7486783Z test_Conv3d_1x1x1_no_bias (__main__.TestExpandedWeightModule) ... ok (0.002s) 2022-11-23T01:42:31.7487490Z test_Conv3d_1x1x1_no_bias_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7488279Z test_Conv3d_circular_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.004s) 2022-11-23T01:42:31.7489041Z test_Conv3d_circular_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.006s) 2022-11-23T01:42:31.7489774Z test_Conv3d_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7490445Z test_Conv3d_no_bias (__main__.TestExpandedWeightModule) ... ok (0.002s) 2022-11-23T01:42:31.7491147Z test_Conv3d_no_bias_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7491885Z test_Conv3d_replicate_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7492644Z test_Conv3d_replicate_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.004s) 2022-11-23T01:42:31.7493373Z test_Conv3d_stride (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7494077Z test_Conv3d_stride_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.004s) 2022-11-23T01:42:31.7494796Z test_Conv3d_stride_padding (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7495513Z test_Conv3d_stride_padding_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.004s) 2022-11-23T01:42:31.7496621Z test_Conv3d_zero_batch (__main__.TestExpandedWeightModule) ... skip: Can't get per sample gradients when no batch dim or batch dim is 0 (0.001s) 2022-11-23T01:42:31.7497880Z test_Conv3d_zero_batch_multiple_inputs (__main__.TestExpandedWeightModule) ... skip: Can't get per sample gradients when no batch dim or batch dim is 0 (0.001s) 2022-11-23T01:42:31.7498726Z test_Conv3d_zeros_stride2_pad2 (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7499590Z test_Conv3d_zeros_stride2_pad2_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.004s) 2022-11-23T01:42:31.7500296Z test_Embedding (__main__.TestExpandedWeightModule) ... ok (0.002s) 2022-11-23T01:42:31.7500986Z test_Embedding_discontiguous (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7501737Z test_Embedding_discontiguous_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7502510Z test_Embedding_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.002s) 2022-11-23T01:42:31.7503222Z test_GroupNorm_1d_affine (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7503914Z test_GroupNorm_1d_affine_GN (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7504632Z test_GroupNorm_1d_affine_GN_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7505400Z test_GroupNorm_1d_affine_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7506132Z test_GroupNorm_1d_no_affine_IN (__main__.TestExpandedWeightModule) ... ok (0.002s) 2022-11-23T01:42:31.7506870Z test_GroupNorm_1d_no_affine_IN_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.002s) 2022-11-23T01:42:31.7507626Z test_GroupNorm_1d_no_affine_LN (__main__.TestExpandedWeightModule) ... ok (0.002s) 2022-11-23T01:42:31.7508430Z test_GroupNorm_1d_no_affine_LN_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.002s) 2022-11-23T01:42:31.7509252Z test_GroupNorm_2d_affine (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7509957Z test_GroupNorm_2d_affine_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7510683Z test_GroupNorm_2d_no_affine_IN (__main__.TestExpandedWeightModule) ... ok (0.002s) 2022-11-23T01:42:31.7511491Z test_GroupNorm_2d_no_affine_IN_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7512227Z test_GroupNorm_2d_no_affine_LN (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7512942Z test_GroupNorm_2d_no_affine_LN_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.002s) 2022-11-23T01:42:31.7513765Z test_LayerNorm_1d_elementwise_affine (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7514296Z test_LayerNorm_1d_elementwise_affine_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7514889Z test_LayerNorm_1d_empty_elementwise_affine (__main__.TestExpandedWeightModule) ... skip: Can't get per sample gradients when no batch dim or batch dim is 0 (0.001s) 2022-11-23T01:42:31.7515520Z test_LayerNorm_1d_empty_elementwise_affine_multiple_inputs (__main__.TestExpandedWeightModule) ... skip: Can't get per sample gradients when no batch dim or batch dim is 0 (0.001s) 2022-11-23T01:42:31.7515954Z test_LayerNorm_1d_no_elementwise_affine (__main__.TestExpandedWeightModule) ... ok (0.002s) 2022-11-23T01:42:31.7516327Z test_LayerNorm_1d_no_elementwise_affine_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.002s) 2022-11-23T01:42:31.7516695Z test_LayerNorm_3d_elementwise_affine (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7517049Z test_LayerNorm_3d_elementwise_affine_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7517417Z test_LayerNorm_3d_no_affine_large_feature (__main__.TestExpandedWeightModule) ... ok (0.026s) 2022-11-23T01:42:31.7517791Z test_LayerNorm_3d_no_affine_large_feature_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.016s) 2022-11-23T01:42:31.7518147Z test_LayerNorm_3d_no_elementwise_affine (__main__.TestExpandedWeightModule) ... ok (0.002s) 2022-11-23T01:42:31.7518514Z test_LayerNorm_3d_no_elementwise_affine_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.002s) 2022-11-23T01:42:31.7518853Z test_Linear (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7519162Z test_Linear_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7519630Z test_Linear_no_batch_dim (__main__.TestExpandedWeightModule) ... skip: Can't get per sample gradients for input of rank 1 (0.001s) 2022-11-23T01:42:31.7520187Z test_Linear_no_batch_dim_multiple_inputs (__main__.TestExpandedWeightModule) ... skip: Can't get per sample gradients for input of rank 1 (0.001s) 2022-11-23T01:42:31.7520563Z test_Linear_no_bias (__main__.TestExpandedWeightModule) ... ok (0.002s) 2022-11-23T01:42:31.7520890Z test_Linear_no_bias_multiple_inputs (__main__.TestExpandedWeightModule) ... ok (0.002s) 2022-11-23T01:42:31.7521225Z test_per_sample_api_compute_batch_size (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7521595Z test_per_sample_api_compute_batch_size_not_pytreeable (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7521949Z test_per_sample_api_failing (__main__.TestExpandedWeightModule) ... ok (0.003s) 2022-11-23T01:42:31.7522129Z 2022-11-23T01:42:31.7522322Z ---------------------------------------------------------------------- 2022-11-23T01:42:31.7522564Z Ran 184 tests in 2.006s 2022-11-23T01:42:31.7522680Z 2022-11-23T01:42:31.7522753Z OK (skipped=10) 2022-11-23T01:42:31.7522859Z 2022-11-23T01:42:31.7522947Z Generating XML reports... 2022-11-23T01:42:31.7523412Z Generated XML report: test-reports/python-unittest/test_expanded_weights/TEST-TestExpandedWeightFunctionalCPU-20221123014229.xml 2022-11-23T01:42:31.7524092Z Generated XML report: test-reports/python-unittest/test_expanded_weights/TEST-TestExpandedWeightHelperFunctionCPU-20221123014229.xml 2022-11-23T01:42:31.7524704Z Generated XML report: test-reports/python-unittest/test_expanded_weights/TEST-TestExpandedWeightModule-20221123014229.xml 2022-11-23T01:42:31.7524962Z 2022-11-23T01:42:31.7525305Z ##[endgroup] 2022-11-23T01:42:31.7525714Z FINISHED PRINTING LOG FILE of test_expanded_weights (/var/lib/jenkins/workspace/test/test-reports/test_expanded_weights_jcoe8z8l) 2022-11-23T01:42:31.7525946Z 2022-11-23T01:42:32.6481116Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:42:32.8196152Z Ignoring disabled issues: [] 2022-11-23T01:42:32.8367001Z Running dynamo/test_export ... [2022-11-23 01:42:32.836374] 2022-11-23T01:42:32.8369154Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_export.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:42:32.836682] 2022-11-23T01:42:33.6542373Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:42:33.7854881Z Ignoring disabled issues: [] 2022-11-23T01:42:33.8027904Z Running dynamo/test_optimizers ... [2022-11-23 01:42:33.802489] 2022-11-23T01:42:33.8029996Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_optimizers.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:42:33.802784] 2022-11-23T01:42:36.1764096Z 2022-11-23T01:42:36.1764914Z Expand the folded group to see the log file of dynamo/test_export 2022-11-23T01:42:36.1766072Z ##[group]PRINTING LOG FILE of dynamo/test_export (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_export_tv1xq6cz) 2022-11-23T01:42:36.1766941Z Test results will be stored in test-reports/python-unittest/dynamo.test_export 2022-11-23T01:42:36.1767307Z 2022-11-23T01:42:36.1767506Z Running tests... 2022-11-23T01:42:36.1767985Z ---------------------------------------------------------------------- 2022-11-23T01:42:36.1768405Z test_dict_return (__main__.ExportTests) ... ok (0.300s) 2022-11-23T01:42:36.1769178Z test_dict_return_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:42:36.1769756Z stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:42:36.1770131Z ok (0.017s) 2022-11-23T01:42:36.1770897Z test_dupes (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:42:36.1771346Z ok (0.008s) 2022-11-23T01:42:36.1771862Z test_dupes_2 (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:42:36.1772187Z ok (0.008s) 2022-11-23T01:42:36.1772885Z test_dupes_2_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:42:36.1773291Z ok (0.011s) 2022-11-23T01:42:36.1773651Z test_dupes_and_bypass (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:42:36.1773926Z ok (0.010s) 2022-11-23T01:42:36.1774458Z test_dupes_and_bypass_reorder_with_non_tensor_arg (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:42:36.1774867Z ok (0.100s) 2022-11-23T01:42:36.1775300Z test_dupes_and_bypass_reorder_with_non_tensor_arg_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:42:36.1775663Z ok (0.014s) 2022-11-23T01:42:36.1776058Z test_dupes_and_bypass_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:42:36.1776375Z ok (0.013s) 2022-11-23T01:42:36.1776776Z test_dupes_and_bypass_with_non_tensor_arg (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:42:36.1777103Z ok (0.010s) 2022-11-23T01:42:36.1777696Z test_dupes_and_bypass_with_non_tensor_arg_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:42:36.1778038Z ok (0.013s) 2022-11-23T01:42:36.1778450Z test_dupes_and_bypass_with_non_tensor_output (__main__.ExportTests) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:42:36.1779034Z ok (0.014s) 2022-11-23T01:42:36.1779513Z test_dupes_and_bypass_with_non_tensor_output_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:42:36.1779814Z ok (0.013s) 2022-11-23T01:42:36.1780245Z test_dupes_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:42:36.1780588Z ok (0.011s) 2022-11-23T01:42:36.1780781Z test_export (__main__.ExportTests) ... inline_call [] 2022-11-23T01:42:36.1781179Z stats [('calls_captured', 80), ('fusions_possible', 78), ('unique_graphs', 2)] 2022-11-23T01:42:36.1781404Z ok (0.118s) 2022-11-23T01:42:36.1781841Z test_export_compare_optimize_with_make_fx (__main__.ExportTests) ... stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)] 2022-11-23T01:42:36.1782126Z ok (0.043s) 2022-11-23T01:42:36.1782541Z test_export_decomp (__main__.ExportTests) ... stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:42:36.1782794Z ok (0.021s) 2022-11-23T01:42:36.1783026Z test_export_decomp_asserts_bad_args (__main__.ExportTests) ... ok (0.001s) 2022-11-23T01:42:36.1783385Z test_export_decomp_asserts_bad_args_mode (__main__.ExportTests) ... ok (0.001s) 2022-11-23T01:42:36.1783843Z test_export_graph_bypass (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:42:36.1784139Z ok (0.012s) 2022-11-23T01:42:36.1784536Z test_export_graph_bypass_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:42:36.1784877Z ok (0.082s) 2022-11-23T01:42:36.1785266Z test_export_graph_with_complex_reorder (__main__.ExportTests) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:42:36.1785602Z ok (0.017s) 2022-11-23T01:42:36.1786021Z test_export_graph_with_complex_reorder_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:42:36.1786367Z ok (0.021s) 2022-11-23T01:42:36.1786731Z test_export_graph_with_list (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:42:36.1787053Z ok (0.014s) 2022-11-23T01:42:36.1787452Z test_export_graph_with_list_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:42:36.1787766Z ok (0.016s) 2022-11-23T01:42:36.1788138Z test_export_meta_val (__main__.ExportTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:42:36.1788530Z ok (0.078s) 2022-11-23T01:42:36.1788914Z test_export_mismatched_out (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:42:36.1789206Z ok (0.010s) 2022-11-23T01:42:36.1789607Z test_export_mismatched_out_2 (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:42:36.1789877Z ok (0.009s) 2022-11-23T01:42:36.1790325Z test_export_mismatched_out_2_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:42:36.1790613Z ok (0.012s) 2022-11-23T01:42:36.1791065Z test_export_mismatched_out_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:42:36.1791353Z ok (0.012s) 2022-11-23T01:42:36.1791783Z test_export_shape_control_flow_1 (__main__.ExportTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:36.1792151Z stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)] 2022-11-23T01:42:36.1792432Z ok (0.030s) 2022-11-23T01:42:36.1792647Z test_export_with_aten_graph (__main__.ExportTests) ... inline_call [] 2022-11-23T01:42:36.1793080Z stats [('calls_captured', 80), ('fusions_possible', 78), ('unique_graphs', 2)] 2022-11-23T01:42:36.1793308Z ok (0.152s) 2022-11-23T01:42:36.1793707Z test_export_with_constant_dict_values (__main__.ExportTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:42:36.1794016Z ok (0.011s) 2022-11-23T01:42:36.1794456Z test_export_with_constant_free_function (__main__.ExportTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:42:36.1794785Z ok (0.037s) 2022-11-23T01:42:36.1795198Z test_export_with_constant_free_function_and_class_method (__main__.ExportTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:42:36.1795540Z ok (0.015s) 2022-11-23T01:42:36.1795986Z test_export_with_constant_free_function_and_class_method_multiarg (__main__.ExportTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:42:36.1796332Z ok (0.017s) 2022-11-23T01:42:36.1796791Z test_export_with_constant_free_function_and_class_method_multiarg_diff (__main__.ExportTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:36.1797115Z ok (0.008s) 2022-11-23T01:42:36.1797526Z test_export_with_constant_list_nonzero (__main__.ExportTests) ... stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)] 2022-11-23T01:42:36.1797823Z ok (0.021s) 2022-11-23T01:42:36.1798238Z test_export_with_constant_list_nonzero_free_function (__main__.ExportTests) ... stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)] 2022-11-23T01:42:36.1798574Z ok (0.021s) 2022-11-23T01:42:36.1798979Z test_export_with_constant_method_on_module (__main__.ExportTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:42:36.1799306Z ok (0.015s) 2022-11-23T01:42:36.1799726Z test_export_with_constant_method_on_module_invoke_twice (__main__.ExportTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:42:36.1800056Z ok (0.017s) 2022-11-23T01:42:36.1800454Z test_export_with_constant_none_control_flow (__main__.ExportTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:36.1800736Z ok (0.008s) 2022-11-23T01:42:36.1801158Z test_export_with_constant_none_control_flow_free_func (__main__.ExportTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:36.1801491Z ok (0.007s) 2022-11-23T01:42:36.1801885Z test_export_with_constant_not_none_control_flow (__main__.ExportTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:42:36.1802169Z ok (0.009s) 2022-11-23T01:42:36.1802589Z test_export_with_constant_not_none_control_flow_free_func (__main__.ExportTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:42:36.1802881Z ok (0.008s) 2022-11-23T01:42:36.1803280Z test_export_with_constant_not_none_control_flow_pos (__main__.ExportTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:42:36.1803612Z ok (0.008s) 2022-11-23T01:42:36.1804012Z test_export_with_constant_not_return_const (__main__.ExportTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:36.1804281Z ok (0.006s) 2022-11-23T01:42:36.1804675Z test_export_with_constant_tuple_nonzero (__main__.ExportTests) ... stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)] 2022-11-23T01:42:36.1804953Z ok (0.020s) 2022-11-23T01:42:36.1805369Z test_export_with_module_layer (__main__.ExportTests) ... stats [('calls_captured', 7), ('fusions_possible', 4), ('unique_graphs', 3)] 2022-11-23T01:42:36.1805629Z ok (0.021s) 2022-11-23T01:42:36.1806004Z test_export_with_stack_trace (__main__.ExportTests) ... stats [('calls_captured', 8), ('fusions_possible', 6), ('unique_graphs', 2)] 2022-11-23T01:42:36.1806269Z ok (0.032s) 2022-11-23T01:42:36.1806472Z test_func_return (__main__.ExportTests) ... inline_call [] 2022-11-23T01:42:36.1806809Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:42:36.1807032Z ok (0.015s) 2022-11-23T01:42:36.1807252Z test_func_return_with_aten_graph (__main__.ExportTests) ... inline_call [] 2022-11-23T01:42:36.1807689Z stats [('calls_captured', 6), ('fusions_possible', 4), ('unique_graphs', 2)] 2022-11-23T01:42:36.1820060Z ok (0.021s) 2022-11-23T01:42:36.1820644Z test_list_unpack (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:42:36.1821109Z ok (0.015s) 2022-11-23T01:42:36.1821768Z test_list_unpack_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:42:36.1822206Z ok (0.017s) 2022-11-23T01:42:36.1822947Z test_zeroes_in_and_out_different_shape_on_test (__main__.ExportTests) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:42:36.1823285Z ok (0.015s) 2022-11-23T01:42:36.1824076Z test_zeroes_in_and_out_different_shape_on_test_with_aten_graph (__main__.ExportTests) ... stats [('calls_captured', 4), ('fusions_possible', 2), ('unique_graphs', 2)] 2022-11-23T01:42:36.1824561Z ok (0.020s) 2022-11-23T01:42:36.1824944Z test_zeroes_in_new_shape_scalar_out (__main__.ExportTests) ... stats [('calls_captured', 16), ('fusions_possible', 14), ('unique_graphs', 2)] 2022-11-23T01:42:36.1825220Z ok (0.022s) 2022-11-23T01:42:36.1825629Z test_zeroes_in_new_shape_scalar_out_permute (__main__.ExportTests) ... stats [('calls_captured', 22), ('fusions_possible', 20), ('unique_graphs', 2)] 2022-11-23T01:42:36.1825913Z ok (0.028s) 2022-11-23T01:42:36.1826328Z test_zeroes_in_new_shape_scalar_out_permute_dupe_and_bypass (__main__.ExportTests) ... stats [('calls_captured', 22), ('fusions_possible', 20), ('unique_graphs', 2)] 2022-11-23T01:42:36.1826628Z ok (0.029s) 2022-11-23T01:42:36.1826729Z 2022-11-23T01:42:36.1826931Z ---------------------------------------------------------------------- 2022-11-23T01:42:36.1827160Z Ran 59 tests in 1.659s 2022-11-23T01:42:36.1827274Z 2022-11-23T01:42:36.1827332Z OK 2022-11-23T01:42:36.1827424Z 2022-11-23T01:42:36.1827508Z Generating XML reports... 2022-11-23T01:42:36.1827991Z Generated XML report: test-reports/python-unittest/dynamo.test_export/TEST-ExportTests-20221123014234.xml 2022-11-23T01:42:36.1828207Z 2022-11-23T01:42:36.1828562Z ##[endgroup] 2022-11-23T01:42:36.1828958Z FINISHED PRINTING LOG FILE of dynamo/test_export (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_export_tv1xq6cz) 2022-11-23T01:42:36.1829185Z 2022-11-23T01:42:37.1025806Z 2022-11-23T01:42:37.1027886Z Expand the folded group to see the log file of dynamo/test_optimizers 2022-11-23T01:42:37.1030610Z ##[group]PRINTING LOG FILE of dynamo/test_optimizers (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_optimizers_f4t25cd0) 2022-11-23T01:42:37.1033070Z Test results will be stored in test-reports/python-unittest/dynamo.test_optimizers 2022-11-23T01:42:37.1034838Z 2022-11-23T01:42:37.1036372Z Running tests... 2022-11-23T01:42:37.1038348Z ---------------------------------------------------------------------- 2022-11-23T01:42:37.1040350Z test_optimizing_over_tensor_with_requires_grad (__main__.End2EndTests) ... ok (0.517s) 2022-11-23T01:42:37.1042338Z frames [('total', 10), ('ok', 9)] 2022-11-23T01:42:37.1128986Z inline_call [('inline in skipfiles: _fn /opt/conda/lib/python3.7/site-packages/torch/_dynamo/eval_frame.py', 3), ('Tensor.item', 2), ('inline with __closure__', 1)] 2022-11-23T01:42:37.1130113Z unimplemented [('generator', 1), ('Tensor.item', 1)] 2022-11-23T01:42:37.1131052Z graph_break [('inline in skipfiles: _fn /opt/conda/lib/python3.7/site-packages/torch/_dynamo/eval_frame.py', 2), ('Tensor.backward', 1), ('inline with __closure__', 1)] 2022-11-23T01:42:37.1131850Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:42:37.1132490Z test_adadelta (__main__.OptimizerTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:37.1132931Z inline_call [] 2022-11-23T01:42:37.1133483Z stats [('calls_captured', 54), ('fusions_possible', 53), ('unique_graphs', 1)] 2022-11-23T01:42:37.1133921Z ok (0.085s) 2022-11-23T01:42:37.1134574Z test_adagrad (__main__.OptimizerTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:37.1134994Z inline_call [] 2022-11-23T01:42:37.1135563Z stats [('calls_captured', 46), ('fusions_possible', 45), ('unique_graphs', 1)] 2022-11-23T01:42:37.1135990Z ok (0.137s) 2022-11-23T01:42:37.1136544Z test_adam (__main__.OptimizerTests) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:42:37.1138597Z inline_call [('inline in skipfiles: _fn /opt/conda/lib/python3.7/site-packages/torch/_dynamo/eval_frame.py', 2)] 2022-11-23T01:42:37.1139232Z unimplemented [] 2022-11-23T01:42:37.1139963Z graph_break [('inline in skipfiles: _fn /opt/conda/lib/python3.7/site-packages/torch/_dynamo/eval_frame.py', 1)] 2022-11-23T01:42:37.1140714Z stats [('calls_captured', 80), ('fusions_possible', 79), ('unique_graphs', 1)] 2022-11-23T01:42:37.1141149Z ok (0.169s) 2022-11-23T01:42:37.1141693Z test_adamax (__main__.OptimizerTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:37.1142107Z inline_call [] 2022-11-23T01:42:37.1142693Z stats [('calls_captured', 78), ('fusions_possible', 77), ('unique_graphs', 1)] 2022-11-23T01:42:37.1143124Z ok (0.104s) 2022-11-23T01:42:37.1143648Z test_adamw (__main__.OptimizerTests) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:42:37.1144429Z inline_call [('inline in skipfiles: _fn /opt/conda/lib/python3.7/site-packages/torch/_dynamo/eval_frame.py', 2)] 2022-11-23T01:42:37.1144953Z unimplemented [] 2022-11-23T01:42:37.1145652Z graph_break [('inline in skipfiles: _fn /opt/conda/lib/python3.7/site-packages/torch/_dynamo/eval_frame.py', 1)] 2022-11-23T01:42:37.1146386Z stats [('calls_captured', 80), ('fusions_possible', 79), ('unique_graphs', 1)] 2022-11-23T01:42:37.1146816Z ok (0.155s) 2022-11-23T01:42:37.1147365Z test_nadam (__main__.OptimizerTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:37.1147772Z inline_call [] 2022-11-23T01:42:37.1148428Z stats [('calls_captured', 162), ('fusions_possible', 161), ('unique_graphs', 1)] 2022-11-23T01:42:37.1148874Z ok (0.145s) 2022-11-23T01:42:37.1149403Z test_radam (__main__.OptimizerTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:37.1149840Z inline_call [] 2022-11-23T01:42:37.1150414Z stats [('calls_captured', 86), ('fusions_possible', 85), ('unique_graphs', 1)] 2022-11-23T01:42:37.1150849Z ok (0.100s) 2022-11-23T01:42:37.1151393Z test_rmsprop (__main__.OptimizerTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:37.1151833Z inline_call [] 2022-11-23T01:42:37.1152406Z stats [('calls_captured', 26), ('fusions_possible', 25), ('unique_graphs', 1)] 2022-11-23T01:42:37.1152816Z ok (0.069s) 2022-11-23T01:42:37.1153356Z test_rprop (__main__.OptimizerTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:37.1153791Z inline_call [] 2022-11-23T01:42:37.1154342Z stats [('calls_captured', 82), ('fusions_possible', 81), ('unique_graphs', 1)] 2022-11-23T01:42:37.1154763Z ok (0.096s) 2022-11-23T01:42:37.1155303Z test_sgd (__main__.OptimizerTests) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:37.1155715Z inline_call [] 2022-11-23T01:42:37.1156283Z stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)] 2022-11-23T01:42:37.1156710Z ok (0.044s) 2022-11-23T01:42:37.1156905Z 2022-11-23T01:42:37.1157280Z ---------------------------------------------------------------------- 2022-11-23T01:42:37.1157727Z Ran 11 tests in 1.623s 2022-11-23T01:42:37.1158113Z 2022-11-23T01:42:37.1158241Z OK 2022-11-23T01:42:37.1158417Z 2022-11-23T01:42:37.1158582Z Generating XML reports... 2022-11-23T01:42:37.1159343Z Generated XML report: test-reports/python-unittest/dynamo.test_optimizers/TEST-End2EndTests-20221123014235.xml 2022-11-23T01:42:37.1160350Z Generated XML report: test-reports/python-unittest/dynamo.test_optimizers/TEST-OptimizerTests-20221123014235.xml 2022-11-23T01:42:37.1160813Z 2022-11-23T01:42:37.1161342Z ##[endgroup] 2022-11-23T01:42:37.1162103Z FINISHED PRINTING LOG FILE of dynamo/test_optimizers (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_optimizers_f4t25cd0) 2022-11-23T01:42:37.1162641Z 2022-11-23T01:42:38.1445640Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:42:38.2825365Z Ignoring disabled issues: [] 2022-11-23T01:42:38.3000644Z Running dynamo/test_modules ... [2022-11-23 01:42:38.299735] 2022-11-23T01:42:38.3002188Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_modules.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:42:38.299977] 2022-11-23T01:42:39.0696940Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:42:39.1907035Z Ignoring disabled issues: [] 2022-11-23T01:42:39.2079722Z Running test_shape_ops ... [2022-11-23 01:42:39.207637] 2022-11-23T01:42:39.2081332Z Executing ['/opt/conda/bin/python', '-bb', 'test_shape_ops.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:42:39.207894] 2022-11-23T01:42:41.5128126Z 2022-11-23T01:42:41.5128627Z Expand the folded group to see the log file of dynamo/test_modules 2022-11-23T01:42:41.5129516Z ##[group]PRINTING LOG FILE of dynamo/test_modules (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_modules_l1msc9tn) 2022-11-23T01:42:41.5130415Z Test results will be stored in test-reports/python-unittest/dynamo.test_modules 2022-11-23T01:42:41.5130753Z 2022-11-23T01:42:41.5130884Z Running tests... 2022-11-23T01:42:41.5131437Z ---------------------------------------------------------------------- 2022-11-23T01:42:41.5131963Z test_basicmodule1 (__main__.NNModuleTests) ... ok (0.415s) 2022-11-23T01:42:41.5132663Z test_basicmodule2 (__main__.NNModuleTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:42:41.5133386Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:42:41.5133738Z ok (0.016s) 2022-11-23T01:42:41.5134189Z test_call_fn_with_non_const_inputs_safe (__main__.NNModuleTests) ... inline_call [] 2022-11-23T01:42:41.5134810Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:41.5135216Z ok (0.014s) 2022-11-23T01:42:41.5135848Z test_cfgmod (__main__.NNModuleTests) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)] 2022-11-23T01:42:41.5136249Z ok (0.027s) 2022-11-23T01:42:41.5136799Z test_children (__main__.NNModuleTests) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:42:41.5137201Z ok (0.019s) 2022-11-23T01:42:41.5137758Z test_constloop (__main__.NNModuleTests) ... stats [('calls_captured', 6), ('fusions_possible', 5), ('unique_graphs', 1)] 2022-11-23T01:42:41.5138166Z ok (0.027s) 2022-11-23T01:42:41.5138410Z test_densenet (__main__.NNModuleTests) ... inline_call [] 2022-11-23T01:42:41.5139123Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)] 2022-11-23T01:42:41.5139411Z ok (0.018s) 2022-11-23T01:42:41.5139631Z test_enumvalues (__main__.NNModuleTests) ... inline_call [] 2022-11-23T01:42:41.5140044Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)] 2022-11-23T01:42:41.5140275Z ok (0.017s) 2022-11-23T01:42:41.5140699Z test_fnmember (__main__.NNModuleTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:42:41.5140947Z ok (0.013s) 2022-11-23T01:42:41.5141781Z test_fnmembercmp1 (__main__.NNModuleTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:42:41.5142277Z ok (0.013s) 2022-11-23T01:42:41.5142665Z test_fnmembercmp2 (__main__.NNModuleTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:42:41.5142930Z ok (0.013s) 2022-11-23T01:42:41.5143157Z test_forward_directly (__main__.NNModuleTests) ... inline_call [] 2022-11-23T01:42:41.5143506Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:42:41.5143720Z ok (0.021s) 2022-11-23T01:42:41.5143938Z test_generation_tag (__main__.NNModuleTests) ... ok (0.003s) 2022-11-23T01:42:41.5144350Z test_hasattr (__main__.NNModuleTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:42:41.5144655Z ok (0.010s) 2022-11-23T01:42:41.5145013Z test_intarg (__main__.NNModuleTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:42:41.5145273Z ok (0.013s) 2022-11-23T01:42:41.5145619Z test_iseval1 (__main__.NNModuleTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:42:41.5145882Z ok (0.013s) 2022-11-23T01:42:41.5146233Z test_iseval2 (__main__.NNModuleTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:42:41.5146492Z ok (0.079s) 2022-11-23T01:42:41.5146843Z test_isnonelayer (__main__.NNModuleTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:41.5147109Z ok (0.011s) 2022-11-23T01:42:41.5147472Z test_istraining1 (__main__.NNModuleTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:42:41.5147724Z ok (0.012s) 2022-11-23T01:42:41.5148117Z test_istraining2 (__main__.NNModuleTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:42:41.5148501Z ok (0.012s) 2022-11-23T01:42:41.5148858Z test_layerlist (__main__.NNModuleTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:42:41.5149183Z ok (0.017s) 2022-11-23T01:42:41.5149790Z test_lazy_module (__main__.NNModuleTests) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T01:42:41.5150441Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T01:42:41.5151286Z [2022-11-23 01:42:40,481] torch._dynamo.symbolic_convert: [WARNING] /opt/conda/lib/python3.7/site-packages/torch/nn/parameter.py [ShapeVariable()] {} missing a required argument: 'shape' 2022-11-23T01:42:41.5152514Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T01:42:41.5153375Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T01:42:41.5154393Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T01:42:41.5155270Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T01:42:41.5156454Z [2022-11-23 01:42:40,506] torch._dynamo.symbolic_convert: [WARNING] /opt/conda/lib/python3.7/site-packages/torch/nn/parameter.py [ShapeVariable()] {} missing a required argument: 'shape' 2022-11-23T01:42:41.5157827Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T01:42:41.5158655Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T01:42:41.5159268Z frames [('total', 16), ('ok', 14)] 2022-11-23T01:42:41.5160566Z inline_call [('Patched init cannot be inlined.', 3), ('arg mismatch inlining', 2), ('call_function UserDefinedObjectVariable(_infer_parameters) [NNModuleVariable(), TupleVariable()] {}', 1), ('call_function UserDefinedObjectVariable(_infer_parameters) [UnspecializedNNModuleVariable(LazyModule), TupleVariable()] {}', 1)] 2022-11-23T01:42:41.5161283Z unimplemented [("Guard setup for uninitialized class ", 2)] 2022-11-23T01:42:41.5161674Z graph_break [('Patched init cannot be inlined.', 3), ('arg mismatch inlining', 2)] 2022-11-23T01:42:41.5162083Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:42:41.5162297Z ok (0.065s) 2022-11-23T01:42:41.5162544Z test_module_attribute_precedence (__main__.NNModuleTests) ... inline_call [] 2022-11-23T01:42:41.5162964Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:42:41.5163249Z ok (0.011s) 2022-11-23T01:42:41.5163468Z test_module_class_method (__main__.NNModuleTests) ... inline_call [] 2022-11-23T01:42:41.5163822Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)] 2022-11-23T01:42:41.5164049Z ok (0.029s) 2022-11-23T01:42:41.5164416Z test_module_name_string (__main__.NNModuleTests) ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:42:41.5164691Z ok (0.015s) 2022-11-23T01:42:41.5164917Z test_module_property (__main__.NNModuleTests) ... inline_call [] 2022-11-23T01:42:41.5165254Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:41.5165487Z ok (0.007s) 2022-11-23T01:42:41.5165718Z test_module_static_method (__main__.NNModuleTests) ... inline_call [] 2022-11-23T01:42:41.5166071Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)] 2022-11-23T01:42:41.5166284Z ok (0.029s) 2022-11-23T01:42:41.5166656Z test_moduledict (__main__.NNModuleTests) ... stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:41.5166924Z ok (0.011s) 2022-11-23T01:42:41.5167282Z test_modulelist (__main__.NNModuleTests) ... stats [('calls_captured', 40), ('fusions_possible', 39), ('unique_graphs', 1)] 2022-11-23T01:42:41.5167548Z ok (0.110s) 2022-11-23T01:42:41.5167774Z test_modulemethod1 (__main__.NNModuleTests) ... inline_call [] 2022-11-23T01:42:41.5168109Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)] 2022-11-23T01:42:41.5168334Z ok (0.030s) 2022-11-23T01:42:41.5168557Z test_modulemethod2 (__main__.NNModuleTests) ... inline_call [] 2022-11-23T01:42:41.5168890Z stats [('calls_captured', 9), ('fusions_possible', 8), ('unique_graphs', 1)] 2022-11-23T01:42:41.5169114Z ok (0.029s) 2022-11-23T01:42:41.5169500Z test_nn_moduledict_contains (__main__.NNModuleTests) ... stats [('calls_captured', 4), ('unique_graphs', 3), ('fusions_possible', 1)] 2022-11-23T01:42:41.5169829Z frames [('total', 2), ('ok', 1)] 2022-11-23T01:42:41.5170092Z inline_call [('Patched init cannot be inlined.', 1)] 2022-11-23T01:42:41.5170581Z unimplemented [("Guard setup for uninitialized class .M'>", 1)] 2022-11-23T01:42:41.5170966Z graph_break [('Patched init cannot be inlined.', 1)] 2022-11-23T01:42:41.5171174Z ok (0.020s) 2022-11-23T01:42:41.5171380Z test_parameters1 (__main__.NNModuleTests) ... inline_call [] 2022-11-23T01:42:41.5171720Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:41.5171945Z ok (0.009s) 2022-11-23T01:42:41.5172154Z test_parameters2 (__main__.NNModuleTests) ... inline_call [] 2022-11-23T01:42:41.5172498Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:41.5172721Z ok (0.009s) 2022-11-23T01:42:41.5173089Z test_parameters3 (__main__.NNModuleTests) ... stats [('calls_captured', 5), ('fusions_possible', 4), ('unique_graphs', 1)] 2022-11-23T01:42:41.5173380Z ok (0.019s) 2022-11-23T01:42:41.5173753Z test_self_mutating1 (__main__.NNModuleTests) ... stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)] 2022-11-23T01:42:41.5174015Z ok (0.040s) 2022-11-23T01:42:41.5174354Z test_seq (__main__.NNModuleTests) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:42:41.5174610Z ok (0.019s) 2022-11-23T01:42:41.5175125Z test_simple_torch_function (__main__.NNModuleTests) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead. 2022-11-23T01:42:41.5175612Z warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.") 2022-11-23T01:42:41.5175851Z inline_call [] 2022-11-23T01:42:41.5176148Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:42:41.5176635Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead. 2022-11-23T01:42:41.5177023Z warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.") 2022-11-23T01:42:41.5177271Z ok (0.014s) 2022-11-23T01:42:41.5177637Z test_stringmember (__main__.NNModuleTests) ... stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:42:41.5177902Z ok (0.012s) 2022-11-23T01:42:41.5178108Z test_submodules1 (__main__.NNModuleTests) ... inline_call [] 2022-11-23T01:42:41.5178450Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)] 2022-11-23T01:42:41.5178672Z ok (0.025s) 2022-11-23T01:42:41.5179097Z test_submodules2 (__main__.NNModuleTests) ... inline_call [] 2022-11-23T01:42:41.5179610Z stats [('calls_captured', 7), ('fusions_possible', 6), ('unique_graphs', 1)] 2022-11-23T01:42:41.5179976Z ok (0.025s) 2022-11-23T01:42:41.5180355Z test_super1 (__main__.NNModuleTests) ... inline_call [] 2022-11-23T01:42:41.5180783Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:42:41.5181011Z ok (0.015s) 2022-11-23T01:42:41.5181224Z test_super_class_method (__main__.NNModuleTests) ... inline_call [] 2022-11-23T01:42:41.5181574Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:41.5181796Z ok (0.007s) 2022-11-23T01:42:41.5182158Z test_tensorlist (__main__.NNModuleTests) ... stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:42:41.5182406Z ok (0.012s) 2022-11-23T01:42:41.5182926Z test_torch_function_with_closure (__main__.NNModuleTests) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead. 2022-11-23T01:42:41.5183386Z warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.") 2022-11-23T01:42:41.5183749Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:42:41.5184234Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead. 2022-11-23T01:42:41.5184636Z warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.") 2022-11-23T01:42:41.5184887Z ok (0.009s) 2022-11-23T01:42:41.5185187Z test_unsupportedmethod (__main__.NNModuleTests) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:42:41.5185637Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:42:41.5185929Z unimplemented [] 2022-11-23T01:42:41.5186298Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)] 2022-11-23T01:42:41.5186707Z stats [('calls_captured', 5), ('fusions_possible', 3), ('unique_graphs', 2)] 2022-11-23T01:42:41.5186932Z ok (0.030s) 2022-11-23T01:42:41.5187239Z test_unsupportedmodule (__main__.NNModuleTests) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:42:41.5187751Z inline_call [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 1)] 2022-11-23T01:42:41.5188041Z unimplemented [] 2022-11-23T01:42:41.5188498Z graph_break [('call_function UserDefinedObjectVariable(unsupported) [TensorVariable(), TensorVariable()] {}', 2)] 2022-11-23T01:42:41.5188891Z stats [('calls_captured', 6), ('fusions_possible', 3), ('unique_graphs', 3)] 2022-11-23T01:42:41.5189117Z ok (0.031s) 2022-11-23T01:42:41.5189343Z test_viamodulecall (__main__.NNModuleTests) ... inline_call [] 2022-11-23T01:42:41.5189676Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:42:41.5189947Z ok (0.015s) 2022-11-23T01:42:41.5190162Z test_attr (__main__.OptimizedModuleTest) ... ok (0.002s) 2022-11-23T01:42:41.5190523Z test_composition (__main__.OptimizedModuleTest) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:41.5190748Z inline_call [] 2022-11-23T01:42:41.5191044Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:42:41.5191268Z ok (0.009s) 2022-11-23T01:42:41.5191587Z test_composition_with_opt_mod (__main__.OptimizedModuleTest) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:42:41.5191965Z stats [('calls_captured', 3), ('unique_graphs', 2), ('fusions_possible', 1)] 2022-11-23T01:42:41.5192398Z inline_call [('inline in skipfiles: forward /opt/conda/lib/python3.7/site-packages/torch/_dynamo/eval_frame.py', 1)] 2022-11-23T01:42:41.5192667Z unimplemented [] 2022-11-23T01:42:41.5193043Z graph_break [('inline in skipfiles: forward /opt/conda/lib/python3.7/site-packages/torch/_dynamo/eval_frame.py', 1)] 2022-11-23T01:42:41.5193312Z ok (0.011s) 2022-11-23T01:42:41.5193618Z test_nn_module (__main__.OptimizedModuleTest) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:41.5193966Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:42:41.5194190Z ok (0.012s) 2022-11-23T01:42:41.5194495Z test_recursion (__main__.OptimizedModuleTest) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:41.5194846Z stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:42:41.5195066Z ok (0.013s) 2022-11-23T01:42:41.5195358Z test_to (__main__.OptimizedModuleTest) ... frames [('total', 3), ('ok', 3)] 2022-11-23T01:42:41.5195698Z stats [('calls_captured', 9), ('fusions_possible', 6), ('unique_graphs', 3)] 2022-11-23T01:42:41.5195920Z ok (0.033s) 2022-11-23T01:42:41.5196021Z 2022-11-23T01:42:41.5196218Z ---------------------------------------------------------------------- 2022-11-23T01:42:41.5196460Z Ran 54 tests in 1.514s 2022-11-23T01:42:41.5196565Z 2022-11-23T01:42:41.5196623Z OK 2022-11-23T01:42:41.5196714Z 2022-11-23T01:42:41.5196798Z Generating XML reports... 2022-11-23T01:42:41.5197205Z Generated XML report: test-reports/python-unittest/dynamo.test_modules/TEST-NNModuleTests-20221123014239.xml 2022-11-23T01:42:41.5197724Z Generated XML report: test-reports/python-unittest/dynamo.test_modules/TEST-OptimizedModuleTest-20221123014239.xml 2022-11-23T01:42:41.5197968Z 2022-11-23T01:42:41.5198255Z ##[endgroup] 2022-11-23T01:42:41.5198654Z FINISHED PRINTING LOG FILE of dynamo/test_modules (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_modules_l1msc9tn) 2022-11-23T01:42:41.5198876Z 2022-11-23T01:42:42.1967348Z 2022-11-23T01:42:42.1967947Z Expand the folded group to see the log file of test_shape_ops 2022-11-23T01:42:42.1969217Z ##[group]PRINTING LOG FILE of test_shape_ops (/var/lib/jenkins/workspace/test/test-reports/test_shape_ops_slik6tsv) 2022-11-23T01:42:42.1969754Z Test results will be stored in test-reports/python-unittest/test_shape_ops 2022-11-23T01:42:42.1969956Z 2022-11-23T01:42:42.1970031Z Running tests... 2022-11-23T01:42:42.1970328Z ---------------------------------------------------------------------- 2022-11-23T01:42:42.1970628Z test_clamp_cpu_float32 (__main__.TestShapeOpsCPU) ... ok (0.005s) 2022-11-23T01:42:42.1970912Z test_clamp_cpu_int64 (__main__.TestShapeOpsCPU) ... ok (0.002s) 2022-11-23T01:42:42.1971378Z test_clamp_propagates_nans_cpu (__main__.TestShapeOpsCPU) ... ok (0.003s) 2022-11-23T01:42:42.1971678Z test_clamp_raises_arg_errors_cpu (__main__.TestShapeOpsCPU) ... ok (0.013s) 2022-11-23T01:42:42.1971985Z test_complex_rot90_cpu_complex128 (__main__.TestShapeOpsCPU) ... ok (0.003s) 2022-11-23T01:42:42.1972293Z test_complex_rot90_cpu_complex64 (__main__.TestShapeOpsCPU) ... ok (0.003s) 2022-11-23T01:42:42.1972566Z test_diag_cpu_bool (__main__.TestShapeOpsCPU) ... ok (0.001s) 2022-11-23T01:42:42.1972845Z test_diag_cpu_float32 (__main__.TestShapeOpsCPU) ... ok (0.001s) 2022-11-23T01:42:42.1973179Z test_diagonal_cpu (__main__.TestShapeOpsCPU) ... ok (0.002s) 2022-11-23T01:42:42.1974320Z test_diagonal_multidim_cpu_float32 (__main__.TestShapeOpsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_comparison.py:599: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:205.) 2022-11-23T01:42:42.1975048Z return torch.as_tensor(tensor_like) 2022-11-23T01:42:42.1975240Z ok (0.004s) 2022-11-23T01:42:42.1975451Z test_flip_cpu_bfloat16 (__main__.TestShapeOpsCPU) ... ok (0.016s) 2022-11-23T01:42:42.1975727Z test_flip_cpu_bool (__main__.TestShapeOpsCPU) ... ok (0.012s) 2022-11-23T01:42:42.1976003Z test_flip_cpu_complex128 (__main__.TestShapeOpsCPU) ... ok (0.017s) 2022-11-23T01:42:42.1976280Z test_flip_cpu_complex64 (__main__.TestShapeOpsCPU) ... ok (0.017s) 2022-11-23T01:42:42.1976561Z test_flip_cpu_float16 (__main__.TestShapeOpsCPU) ... ok (0.016s) 2022-11-23T01:42:42.1976835Z test_flip_cpu_float32 (__main__.TestShapeOpsCPU) ... ok (0.075s) 2022-11-23T01:42:42.1977096Z test_flip_cpu_float64 (__main__.TestShapeOpsCPU) ... ok (0.015s) 2022-11-23T01:42:42.1977366Z test_flip_cpu_int16 (__main__.TestShapeOpsCPU) ... ok (0.012s) 2022-11-23T01:42:42.1977631Z test_flip_cpu_int32 (__main__.TestShapeOpsCPU) ... ok (0.012s) 2022-11-23T01:42:42.1977895Z test_flip_cpu_int64 (__main__.TestShapeOpsCPU) ... ok (0.011s) 2022-11-23T01:42:42.1978151Z test_flip_cpu_int8 (__main__.TestShapeOpsCPU) ... ok (0.012s) 2022-11-23T01:42:42.1978414Z test_flip_cpu_uint8 (__main__.TestShapeOpsCPU) ... ok (0.012s) 2022-11-23T01:42:42.1978695Z test_flip_errors_cpu_bfloat16 (__main__.TestShapeOpsCPU) ... ok (0.012s) 2022-11-23T01:42:42.1979209Z test_flip_errors_cpu_bool (__main__.TestShapeOpsCPU) ... ok (0.012s) 2022-11-23T01:42:42.1979502Z test_flip_errors_cpu_complex128 (__main__.TestShapeOpsCPU) ... ok (0.012s) 2022-11-23T01:42:42.1979800Z test_flip_errors_cpu_complex64 (__main__.TestShapeOpsCPU) ... ok (0.012s) 2022-11-23T01:42:42.1980081Z test_flip_errors_cpu_float16 (__main__.TestShapeOpsCPU) ... ok (0.012s) 2022-11-23T01:42:42.1980370Z test_flip_errors_cpu_float32 (__main__.TestShapeOpsCPU) ... ok (0.012s) 2022-11-23T01:42:42.1980651Z test_flip_errors_cpu_float64 (__main__.TestShapeOpsCPU) ... ok (0.012s) 2022-11-23T01:42:42.1980939Z test_flip_errors_cpu_int16 (__main__.TestShapeOpsCPU) ... ok (0.012s) 2022-11-23T01:42:42.1981210Z test_flip_errors_cpu_int32 (__main__.TestShapeOpsCPU) ... ok (0.012s) 2022-11-23T01:42:42.1981489Z test_flip_errors_cpu_int64 (__main__.TestShapeOpsCPU) ... ok (0.012s) 2022-11-23T01:42:42.1981772Z test_flip_errors_cpu_int8 (__main__.TestShapeOpsCPU) ... ok (0.012s) 2022-11-23T01:42:42.1982041Z test_flip_errors_cpu_uint8 (__main__.TestShapeOpsCPU) ... ok (0.012s) 2022-11-23T01:42:42.1982346Z test_flip_large_tensor_cpu (__main__.TestShapeOpsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:42:42.1982657Z test_flip_numpy_cpu_bfloat16 (__main__.TestShapeOpsCPU) ... ok (0.009s) 2022-11-23T01:42:42.1983011Z test_flip_numpy_cpu_bool (__main__.TestShapeOpsCPU) ... ok (0.005s) 2022-11-23T01:42:42.1983288Z test_flip_numpy_cpu_complex128 (__main__.TestShapeOpsCPU) ... ok (0.008s) 2022-11-23T01:42:42.1983580Z test_flip_numpy_cpu_complex64 (__main__.TestShapeOpsCPU) ... ok (0.008s) 2022-11-23T01:42:42.1983869Z test_flip_numpy_cpu_float16 (__main__.TestShapeOpsCPU) ... ok (0.009s) 2022-11-23T01:42:42.1984144Z test_flip_numpy_cpu_float32 (__main__.TestShapeOpsCPU) ... ok (0.008s) 2022-11-23T01:42:42.1984431Z test_flip_numpy_cpu_float64 (__main__.TestShapeOpsCPU) ... ok (0.006s) 2022-11-23T01:42:42.1984715Z test_flip_numpy_cpu_int16 (__main__.TestShapeOpsCPU) ... ok (0.005s) 2022-11-23T01:42:42.1985040Z test_flip_numpy_cpu_int32 (__main__.TestShapeOpsCPU) ... ok (0.005s) 2022-11-23T01:42:42.1985306Z test_flip_numpy_cpu_int64 (__main__.TestShapeOpsCPU) ... ok (0.004s) 2022-11-23T01:42:42.1985585Z test_flip_numpy_cpu_int8 (__main__.TestShapeOpsCPU) ... ok (0.005s) 2022-11-23T01:42:42.1985871Z test_flip_numpy_cpu_uint8 (__main__.TestShapeOpsCPU) ... ok (0.005s) 2022-11-23T01:42:42.1986143Z test_fliplr_cpu_complex128 (__main__.TestShapeOpsCPU) ... ok (0.002s) 2022-11-23T01:42:42.1986430Z test_fliplr_cpu_float64 (__main__.TestShapeOpsCPU) ... ok (0.002s) 2022-11-23T01:42:42.1986707Z test_fliplr_cpu_int64 (__main__.TestShapeOpsCPU) ... ok (0.001s) 2022-11-23T01:42:42.1986987Z test_fliplr_invalid_cpu_complex128 (__main__.TestShapeOpsCPU) ... ok (0.006s) 2022-11-23T01:42:42.1987290Z test_fliplr_invalid_cpu_float64 (__main__.TestShapeOpsCPU) ... ok (0.005s) 2022-11-23T01:42:42.1987583Z test_fliplr_invalid_cpu_int64 (__main__.TestShapeOpsCPU) ... ok (0.005s) 2022-11-23T01:42:42.1987873Z test_flipud_cpu_complex128 (__main__.TestShapeOpsCPU) ... ok (0.002s) 2022-11-23T01:42:42.1988145Z test_flipud_cpu_float64 (__main__.TestShapeOpsCPU) ... ok (0.002s) 2022-11-23T01:42:42.1988504Z test_flipud_cpu_int64 (__main__.TestShapeOpsCPU) ... ok (0.002s) 2022-11-23T01:42:42.1988797Z test_flipud_invalid_cpu_complex128 (__main__.TestShapeOpsCPU) ... ok (0.003s) 2022-11-23T01:42:42.1989091Z test_flipud_invalid_cpu_float64 (__main__.TestShapeOpsCPU) ... ok (0.003s) 2022-11-23T01:42:42.1989386Z test_flipud_invalid_cpu_int64 (__main__.TestShapeOpsCPU) ... ok (0.003s) 2022-11-23T01:42:42.1989678Z test_movedim_cpu_complex128 (__main__.TestShapeOpsCPU) ... ok (0.062s) 2022-11-23T01:42:42.1989963Z test_movedim_cpu_float32 (__main__.TestShapeOpsCPU) ... ok (0.056s) 2022-11-23T01:42:42.1990234Z test_movedim_cpu_int64 (__main__.TestShapeOpsCPU) ... ok (0.026s) 2022-11-23T01:42:42.1990528Z test_movedim_invalid_cpu_complex128 (__main__.TestShapeOpsCPU) ... ok (0.045s) 2022-11-23T01:42:42.1990837Z test_movedim_invalid_cpu_float32 (__main__.TestShapeOpsCPU) ... ok (0.044s) 2022-11-23T01:42:42.1991120Z test_movedim_invalid_cpu_int64 (__main__.TestShapeOpsCPU) ... ok (0.045s) 2022-11-23T01:42:42.1991869Z test_nonzero_astuple_out_cpu (__main__.TestShapeOpsCPU) ... test_shape_ops.py:629: UserWarning: An output with one or more elements was resized since it had shape [3, 3, 3], which does not match the required output shape [27, 3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:42:42.1992602Z self.assertEqual(torch.nonzero(t, as_tuple=False, out=out), torch.nonzero(t, out=out)) 2022-11-23T01:42:42.1992851Z ok (0.057s) 2022-11-23T01:42:42.1993559Z test_nonzero_cpu_bfloat16 (__main__.TestShapeOpsCPU) ... test_shape_ops.py:596: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [8, 1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:42:42.1994207Z torch.nonzero(tensor, out=dst3) 2022-11-23T01:42:42.1994833Z test_shape_ops.py:596: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [1, 2]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:42:42.1995477Z torch.nonzero(tensor, out=dst3) 2022-11-23T01:42:42.1996109Z test_shape_ops.py:596: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [6, 2]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:42:42.1996707Z torch.nonzero(tensor, out=dst3) 2022-11-23T01:42:42.1997340Z test_shape_ops.py:596: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [8, 3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:42:42.1997933Z torch.nonzero(tensor, out=dst3) 2022-11-23T01:42:42.1998572Z test_shape_ops.py:596: UserWarning: An output with one or more elements was resized since it had shape [], which does not match the required output shape [60, 3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T01:42:42.1999155Z torch.nonzero(tensor, out=dst3) 2022-11-23T01:42:42.1999343Z ok (0.024s) 2022-11-23T01:42:42.1999566Z test_nonzero_cpu_bool (__main__.TestShapeOpsCPU) ... ok (0.023s) 2022-11-23T01:42:42.1999841Z test_nonzero_cpu_float16 (__main__.TestShapeOpsCPU) ... ok (0.023s) 2022-11-23T01:42:42.2000125Z test_nonzero_cpu_float32 (__main__.TestShapeOpsCPU) ... ok (0.023s) 2022-11-23T01:42:42.2000410Z test_nonzero_cpu_float64 (__main__.TestShapeOpsCPU) ... ok (0.023s) 2022-11-23T01:42:42.2000683Z test_nonzero_cpu_int16 (__main__.TestShapeOpsCPU) ... ok (0.023s) 2022-11-23T01:42:42.2000948Z test_nonzero_cpu_int32 (__main__.TestShapeOpsCPU) ... ok (0.023s) 2022-11-23T01:42:42.2001225Z test_nonzero_cpu_int64 (__main__.TestShapeOpsCPU) ... ok (0.023s) 2022-11-23T01:42:42.2001500Z test_nonzero_cpu_int8 (__main__.TestShapeOpsCPU) ... ok (0.023s) 2022-11-23T01:42:42.2001765Z test_nonzero_cpu_uint8 (__main__.TestShapeOpsCPU) ... ok (0.023s) 2022-11-23T01:42:42.2002053Z test_nonzero_discontiguous_cpu (__main__.TestShapeOpsCPU) ... ok (0.002s) 2022-11-23T01:42:42.2002347Z test_nonzero_no_warning_cpu (__main__.TestShapeOpsCPU) ... ok (0.001s) 2022-11-23T01:42:42.2002633Z test_nonzero_non_diff_cpu (__main__.TestShapeOpsCPU) ... ok (0.001s) 2022-11-23T01:42:42.2002891Z test_rot90_cpu (__main__.TestShapeOpsCPU) ... ok (0.026s) 2022-11-23T01:42:42.2003179Z test_sparse_dense_dim_cpu_complex128 (__main__.TestShapeOpsCPU) ... ok (0.001s) 2022-11-23T01:42:42.2003484Z test_sparse_dense_dim_cpu_float32 (__main__.TestShapeOpsCPU) ... ok (0.001s) 2022-11-23T01:42:42.2003772Z test_sparse_dense_dim_cpu_int64 (__main__.TestShapeOpsCPU) ... ok (0.001s) 2022-11-23T01:42:42.2004571Z test_tolist_cpu (__main__.TestShapeOpsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:42:42.2005053Z warnings.warn(message, UserWarning) 2022-11-23T01:42:42.2005249Z ok (0.003s) 2022-11-23T01:42:42.2005461Z test_trace_cpu_float32 (__main__.TestShapeOpsCPU) ... ok (0.003s) 2022-11-23T01:42:42.2005745Z test_trace_cpu_float64 (__main__.TestShapeOpsCPU) ... ok (0.003s) 2022-11-23T01:42:42.2006021Z test_trace_cpu_int16 (__main__.TestShapeOpsCPU) ... ok (0.002s) 2022-11-23T01:42:42.2006313Z test_trace_cpu_int32 (__main__.TestShapeOpsCPU) ... ok (0.002s) 2022-11-23T01:42:42.2006580Z test_trace_cpu_int64 (__main__.TestShapeOpsCPU) ... ok (0.002s) 2022-11-23T01:42:42.2006847Z test_trace_cpu_int8 (__main__.TestShapeOpsCPU) ... ok (0.002s) 2022-11-23T01:42:42.2007120Z test_trace_cpu_uint8 (__main__.TestShapeOpsCPU) ... ok (0.002s) 2022-11-23T01:42:42.2007373Z test_unbind_cpu (__main__.TestShapeOpsCPU) ... ok (0.003s) 2022-11-23T01:42:42.2007525Z 2022-11-23T01:42:42.2007731Z ---------------------------------------------------------------------- 2022-11-23T01:42:42.2007974Z Ran 92 tests in 1.147s 2022-11-23T01:42:42.2008086Z 2022-11-23T01:42:42.2008145Z OK (skipped=1) 2022-11-23T01:42:42.2008270Z 2022-11-23T01:42:42.2008354Z Generating XML reports... 2022-11-23T01:42:42.2008761Z Generated XML report: test-reports/python-unittest/test_shape_ops/TEST-TestShapeOpsCPU-20221123014240.xml 2022-11-23T01:42:42.2008993Z 2022-11-23T01:42:42.2009253Z ##[endgroup] 2022-11-23T01:42:42.2009632Z FINISHED PRINTING LOG FILE of test_shape_ops (/var/lib/jenkins/workspace/test/test-reports/test_shape_ops_slik6tsv) 2022-11-23T01:42:42.2009844Z 2022-11-23T01:42:43.3770221Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:42:43.5137311Z Ignoring disabled issues: [] 2022-11-23T01:42:43.5304274Z Running test_dynamic_shapes ... [2022-11-23 01:42:43.530133] 2022-11-23T01:42:43.5306034Z Executing ['/opt/conda/bin/python', '-bb', 'test_dynamic_shapes.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:42:43.530384] 2022-11-23T01:42:44.0812574Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:42:44.2009182Z Ignoring disabled issues: [] 2022-11-23T01:42:44.2184862Z Running test_namedtensor ... [2022-11-23 01:42:44.218153] 2022-11-23T01:42:44.2186036Z Executing ['/opt/conda/bin/python', '-bb', 'test_namedtensor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:42:44.218403] 2022-11-23T01:42:46.3077974Z 2022-11-23T01:42:46.3078547Z Expand the folded group to see the log file of test_dynamic_shapes 2022-11-23T01:42:46.3079768Z ##[group]PRINTING LOG FILE of test_dynamic_shapes (/var/lib/jenkins/workspace/test/test-reports/test_dynamic_shapes_0gtot5xc) 2022-11-23T01:42:46.3080356Z Test results will be stored in test-reports/python-unittest/test_dynamic_shapes 2022-11-23T01:42:46.3080601Z 2022-11-23T01:42:46.3080676Z Running tests... 2022-11-23T01:42:46.3080988Z ---------------------------------------------------------------------- 2022-11-23T01:42:46.3081261Z test_arith_ops (__main__.TestPySymInt) ... ok (0.489s) 2022-11-23T01:42:46.3081516Z test_aten_ops (__main__.TestPySymInt) ... ok (0.029s) 2022-11-23T01:42:46.3081765Z test_binary (__main__.TestPySymInt) ... ok (0.026s) 2022-11-23T01:42:46.3082020Z test_fx_trace_intlist (__main__.TestPySymInt) ... ok (0.011s) 2022-11-23T01:42:46.3082264Z test_guard_int (__main__.TestPySymInt) ... ok (0.003s) 2022-11-23T01:42:46.3082537Z test_int_conversion (__main__.TestPySymInt) ... ok (0.001s) 2022-11-23T01:42:46.3082795Z test_int_to_float (__main__.TestPySymInt) ... ok (0.002s) 2022-11-23T01:42:46.3083036Z test_meta_symint (__main__.TestPySymInt) ... ok (0.002s) 2022-11-23T01:42:46.3083282Z test_numel (__main__.TestPySymInt) ... ok (0.002s) 2022-11-23T01:42:46.3083733Z test_print_readable_with_symints (__main__.TestPySymInt) ... ok (0.137s) 2022-11-23T01:42:46.3084010Z test_reverse_arith_ops (__main__.TestPySymInt) ... ok (0.074s) 2022-11-23T01:42:46.3084271Z test_roundtrip (__main__.TestPySymInt) ... ok (0.016s) 2022-11-23T01:42:46.3084530Z test_size_expressions (__main__.TestPySymInt) ... ok (0.008s) 2022-11-23T01:42:46.3084787Z test_stride (__main__.TestPySymInt) ... ok (0.002s) 2022-11-23T01:42:46.3085020Z test_sym_floor (__main__.TestPySymInt) ... ok (0.084s) 2022-11-23T01:42:46.3085267Z test_sym_int (__main__.TestPySymInt) ... ok (0.024s) 2022-11-23T01:42:46.3085514Z test_sym_sqrt (__main__.TestPySymInt) ... ok (0.044s) 2022-11-23T01:42:46.3085817Z test_symint_args (__main__.TestPySymInt) ... ok (0.031s) 2022-11-23T01:42:46.3086074Z test_symint_as_scalar (__main__.TestPySymInt) ... ok (0.001s) 2022-11-23T01:42:46.3086333Z test_symint_vargs (__main__.TestPySymInt) ... ok (0.015s) 2022-11-23T01:42:46.3086683Z test_method_fn_add_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: add is not a float magic method (0.001s) 2022-11-23T01:42:46.3087123Z test_method_fn_add_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: add is not a float magic method (0.001s) 2022-11-23T01:42:46.3087523Z test_method_fn_add_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.002s) 2022-11-23T01:42:46.3087891Z test_method_fn_add_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s) 2022-11-23T01:42:46.3088292Z test_method_fn_ceil_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: ceil is not a float magic method (0.001s) 2022-11-23T01:42:46.3088738Z test_method_fn_ceil_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: ceil is not a float magic method (0.001s) 2022-11-23T01:42:46.3089170Z test_method_fn_ceil_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: ceil is unary and already tested (0.001s) 2022-11-23T01:42:46.3089572Z test_method_fn_ceil_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s) 2022-11-23T01:42:46.3089964Z test_method_fn_eq_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: eq is not a float magic method (0.001s) 2022-11-23T01:42:46.3090392Z test_method_fn_eq_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: eq is not a float magic method (0.001s) 2022-11-23T01:42:46.3090787Z test_method_fn_eq_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.002s) 2022-11-23T01:42:46.3091155Z test_method_fn_eq_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s) 2022-11-23T01:42:46.3091552Z test_method_fn_floor_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: floor is not a float magic method (0.001s) 2022-11-23T01:42:46.3091999Z test_method_fn_floor_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: floor is not a float magic method (0.001s) 2022-11-23T01:42:46.3092434Z test_method_fn_floor_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: floor is unary and already tested (0.001s) 2022-11-23T01:42:46.3092839Z test_method_fn_floor_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s) 2022-11-23T01:42:46.3093243Z test_method_fn_floordiv_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: floordiv is not a float magic method (0.001s) 2022-11-23T01:42:46.3093697Z test_method_fn_floordiv_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: floordiv is not a float magic method (0.001s) 2022-11-23T01:42:46.3094116Z test_method_fn_floordiv_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.003s) 2022-11-23T01:42:46.3094531Z test_method_fn_floordiv_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.002s) 2022-11-23T01:42:46.3094928Z test_method_fn_ge_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: ge is not a float magic method (0.001s) 2022-11-23T01:42:46.3095358Z test_method_fn_ge_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: ge is not a float magic method (0.001s) 2022-11-23T01:42:46.3095758Z test_method_fn_ge_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.002s) 2022-11-23T01:42:46.3096122Z test_method_fn_ge_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.002s) 2022-11-23T01:42:46.3096543Z test_method_fn_gt_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: gt is not a float magic method (0.001s) 2022-11-23T01:42:46.3096972Z test_method_fn_gt_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: gt is not a float magic method (0.001s) 2022-11-23T01:42:46.3097367Z test_method_fn_gt_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.002s) 2022-11-23T01:42:46.3097733Z test_method_fn_gt_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.002s) 2022-11-23T01:42:46.3098120Z test_method_fn_le_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: le is not a float magic method (0.001s) 2022-11-23T01:42:46.3098547Z test_method_fn_le_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: le is not a float magic method (0.001s) 2022-11-23T01:42:46.3099197Z test_method_fn_le_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.002s) 2022-11-23T01:42:46.3099568Z test_method_fn_le_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.002s) 2022-11-23T01:42:46.3099952Z test_method_fn_lt_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: lt is not a float magic method (0.001s) 2022-11-23T01:42:46.3100378Z test_method_fn_lt_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: lt is not a float magic method (0.001s) 2022-11-23T01:42:46.3100766Z test_method_fn_lt_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.002s) 2022-11-23T01:42:46.3112854Z test_method_fn_lt_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.002s) 2022-11-23T01:42:46.3113297Z test_method_fn_max_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: max is not a float magic method (0.001s) 2022-11-23T01:42:46.3113745Z test_method_fn_max_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: max is not a float magic method (0.001s) 2022-11-23T01:42:46.3114148Z test_method_fn_max_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.002s) 2022-11-23T01:42:46.3114528Z test_method_fn_max_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s) 2022-11-23T01:42:46.3114940Z test_method_fn_min_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: min is not a float magic method (0.001s) 2022-11-23T01:42:46.3115375Z test_method_fn_min_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: min is not a float magic method (0.001s) 2022-11-23T01:42:46.3115766Z test_method_fn_min_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.002s) 2022-11-23T01:42:46.3116135Z test_method_fn_min_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s) 2022-11-23T01:42:46.3116545Z test_method_fn_mod_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: mod is not a float magic method (0.001s) 2022-11-23T01:42:46.3116979Z test_method_fn_mod_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: mod is not a float magic method (0.001s) 2022-11-23T01:42:46.3117479Z test_method_fn_mod_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.002s) 2022-11-23T01:42:46.3117854Z test_method_fn_mod_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s) 2022-11-23T01:42:46.3118262Z test_method_fn_mul_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: mul is not a float magic method (0.001s) 2022-11-23T01:42:46.3118684Z test_method_fn_mul_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: mul is not a float magic method (0.001s) 2022-11-23T01:42:46.3119084Z test_method_fn_mul_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.002s) 2022-11-23T01:42:46.3119504Z test_method_fn_mul_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s) 2022-11-23T01:42:46.3119913Z test_method_fn_neg_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: neg is not a float magic method (0.001s) 2022-11-23T01:42:46.3120339Z test_method_fn_neg_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: neg is not a float magic method (0.001s) 2022-11-23T01:42:46.3120775Z test_method_fn_neg_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: neg is unary and already tested (0.001s) 2022-11-23T01:42:46.3121173Z test_method_fn_neg_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s) 2022-11-23T01:42:46.3121581Z test_method_fn_pow_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: pow is not a float magic method (0.001s) 2022-11-23T01:42:46.3122006Z test_method_fn_pow_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: pow is not a float magic method (0.001s) 2022-11-23T01:42:46.3122406Z test_method_fn_pow_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.002s) 2022-11-23T01:42:46.3122778Z test_method_fn_pow_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s) 2022-11-23T01:42:46.3123182Z test_method_fn_sub_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: sub is not a float magic method (0.001s) 2022-11-23T01:42:46.3123598Z test_method_fn_sub_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: sub is not a float magic method (0.001s) 2022-11-23T01:42:46.3123996Z test_method_fn_sub_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.002s) 2022-11-23T01:42:46.3124365Z test_method_fn_sub_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s) 2022-11-23T01:42:46.3124784Z test_method_fn_sym_float_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: sym_float is not a float magic method (0.001s) 2022-11-23T01:42:46.3125232Z test_method_fn_sym_float_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: sym_float is not a float magic method (0.001s) 2022-11-23T01:42:46.3125684Z test_method_fn_sym_float_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: sym_float is unary and already tested (0.001s) 2022-11-23T01:42:46.3126091Z test_method_fn_sym_float_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s) 2022-11-23T01:42:46.3126507Z test_method_fn_sym_sqrt_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: sym_sqrt is not a float magic method (0.001s) 2022-11-23T01:42:46.3126953Z test_method_fn_sym_sqrt_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: sym_sqrt is not a float magic method (0.001s) 2022-11-23T01:42:46.3127395Z test_method_fn_sym_sqrt_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: sym_sqrt is unary and already tested (0.001s) 2022-11-23T01:42:46.3127808Z test_method_fn_sym_sqrt_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.002s) 2022-11-23T01:42:46.3128253Z test_method_fn_truediv_first_type_float_second_type_float (__main__.TestSymNumberMagicMethods) ... skip: truediv is not a float magic method (0.001s) 2022-11-23T01:42:46.3128703Z test_method_fn_truediv_first_type_float_second_type_int (__main__.TestSymNumberMagicMethods) ... skip: truediv is not a float magic method (0.001s) 2022-11-23T01:42:46.3129104Z test_method_fn_truediv_first_type_int_second_type_float (__main__.TestSymNumberMagicMethods) ... ok (0.002s) 2022-11-23T01:42:46.3129481Z test_method_fn_truediv_first_type_int_second_type_int (__main__.TestSymNumberMagicMethods) ... ok (0.001s) 2022-11-23T01:42:46.3129715Z 2022-11-23T01:42:46.3129969Z ---------------------------------------------------------------------- 2022-11-23T01:42:46.3130200Z Ran 96 tests in 1.107s 2022-11-23T01:42:46.3130314Z 2022-11-23T01:42:46.3130387Z OK (skipped=43) 2022-11-23T01:42:46.3130495Z 2022-11-23T01:42:46.3130579Z Generating XML reports... 2022-11-23T01:42:46.3131003Z Generated XML report: test-reports/python-unittest/test_dynamic_shapes/TEST-TestPySymInt-20221123014244.xml 2022-11-23T01:42:46.3131546Z Generated XML report: test-reports/python-unittest/test_dynamic_shapes/TEST-TestSymNumberMagicMethods-20221123014244.xml 2022-11-23T01:42:46.3131806Z 2022-11-23T01:42:46.3132106Z ##[endgroup] 2022-11-23T01:42:46.3132512Z FINISHED PRINTING LOG FILE of test_dynamic_shapes (/var/lib/jenkins/workspace/test/test-reports/test_dynamic_shapes_0gtot5xc) 2022-11-23T01:42:46.3132737Z 2022-11-23T01:42:46.8953779Z 2022-11-23T01:42:46.8954385Z Expand the folded group to see the log file of test_namedtensor 2022-11-23T01:42:46.8955417Z ##[group]PRINTING LOG FILE of test_namedtensor (/var/lib/jenkins/workspace/test/test-reports/test_namedtensor_etyvb5f1) 2022-11-23T01:42:46.8956305Z Test results will be stored in test-reports/python-unittest/test_namedtensor 2022-11-23T01:42:46.8956619Z 2022-11-23T01:42:46.8956744Z Running tests... 2022-11-23T01:42:46.8957264Z ---------------------------------------------------------------------- 2022-11-23T01:42:46.8957788Z test_aaa_must_run_first_check_experimental_warning (__main__.TestNamedTensor) ... ok (0.002s) 2022-11-23T01:42:46.8958326Z test_addcmul_addcdiv (__main__.TestNamedTensor) ... ok (0.002s) 2022-11-23T01:42:46.8958784Z test_addmm (__main__.TestNamedTensor) ... ok (0.029s) 2022-11-23T01:42:46.8959242Z test_addmv (__main__.TestNamedTensor) ... ok (0.002s) 2022-11-23T01:42:46.8959729Z test_align_as (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:42:46.8960277Z test_align_tensors (__main__.TestNamedTensor) ... skip: Not implemented yet (0.001s) 2022-11-23T01:42:46.8960914Z test_align_tensors_two_inputs (__main__.TestNamedTensor) ... skip: Not implemented yet (0.003s) 2022-11-23T01:42:46.8961479Z test_align_to (__main__.TestNamedTensor) ... ok (0.009s) 2022-11-23T01:42:46.8962207Z test_align_to_ellipsis (__main__.TestNamedTensor) ... ok (0.011s) 2022-11-23T01:42:46.8962718Z test_any_all (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:42:46.8963196Z test_as_strided (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:42:46.8963736Z test_as_strided_cuda (__main__.TestNamedTensor) ... skip: no CUDA (0.000s) 2022-11-23T01:42:46.8964296Z test_autograd_ignores_names (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:42:46.8964815Z test_autograd_smoke (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:42:46.8965357Z test_autograd_warns_named_grad (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:42:46.8965882Z test_bernoulli (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:42:46.8966396Z test_big_tensor_repr_has_names (__main__.TestNamedTensor) ... ok (0.018s) 2022-11-23T01:42:46.8966923Z test_binary_ops (__main__.TestNamedTensor) ... ok (0.341s) 2022-11-23T01:42:46.8967418Z test_bitwise_not (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:42:46.8967897Z test_bmm (__main__.TestNamedTensor) ... ok (0.019s) 2022-11-23T01:42:46.8968345Z test_cat (__main__.TestNamedTensor) ... ok (0.015s) 2022-11-23T01:42:46.8969058Z test_cdist (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:42:46.8969584Z test_comparison_ops (__main__.TestNamedTensor) ... ok (0.005s) 2022-11-23T01:42:46.8970095Z test_copy_transpose (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:42:46.8970607Z test_cummax_cummin (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:42:46.8971097Z test_detach (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:42:46.8971560Z test_diagonal (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:42:46.8972031Z test_dot (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:42:46.8972592Z test_equal (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:42:46.8973076Z test_expand (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:42:46.8973565Z test_factory_coverage (__main__.TestNamedTensor) ... ok (0.004s) 2022-11-23T01:42:46.8974098Z test_factory_edge_cases (__main__.TestNamedTensor) ... ok (0.019s) 2022-11-23T01:42:46.8974614Z test_flatten (__main__.TestNamedTensor) ... ok (0.011s) 2022-11-23T01:42:46.8975084Z test_flatten_nodims (__main__.TestNamedTensor) ... ok (0.003s) 2022-11-23T01:42:46.8975584Z test_has_names (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:42:46.8976146Z test_index_fill (__main__.TestNamedTensor) ... ok (0.002s) 2022-11-23T01:42:46.8977595Z test_info_smoke (__main__.TestNamedTensor) ... /opt/conda/lib/python3.7/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:42:46.8978536Z warnings.warn(message, UserWarning) 2022-11-23T01:42:46.8979114Z ok (0.002s) 2022-11-23T01:42:46.8979537Z test_logcumsumexp (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:42:46.8980044Z test_logical_not (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:42:46.8980527Z test_logical_ops (__main__.TestNamedTensor) ... ok (0.002s) 2022-11-23T01:42:46.8981030Z test_masked_fill (__main__.TestNamedTensor) ... ok (0.015s) 2022-11-23T01:42:46.8981527Z test_masked_select (__main__.TestNamedTensor) ... ok (0.007s) 2022-11-23T01:42:46.8982012Z test_matmul (__main__.TestNamedTensor) ... ok (0.022s) 2022-11-23T01:42:46.8982482Z test_max_pooling (__main__.TestNamedTensor) ... ok (0.003s) 2022-11-23T01:42:46.8983035Z test_max_pooling_without_names_does_not_warn (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:42:46.8983567Z test_mm (__main__.TestNamedTensor) ... ok (0.007s) 2022-11-23T01:42:46.8984004Z test_mv (__main__.TestNamedTensor) ... ok (0.002s) 2022-11-23T01:42:46.8984511Z test_no_jit_script_support (__main__.TestNamedTensor) ... ok (0.048s) 2022-11-23T01:42:46.8985055Z test_no_jit_tracer_support (__main__.TestNamedTensor) ... ok (0.009s) 2022-11-23T01:42:46.8985618Z test_no_multiprocessing_support (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:42:46.8986162Z test_no_pickle_support (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:42:46.8986680Z test_no_save_support (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:42:46.8987216Z test_noncontig_contiguous (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:42:46.8987732Z test_none_names_refcount (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:42:46.8988277Z test_nyi_dimname_overload_msg (__main__.TestNamedTensor) ... ok (0.003s) 2022-11-23T01:42:46.8988903Z test_out_fn_semantics (__main__.TestNamedTensor) ... ok (0.021s) 2022-11-23T01:42:46.8989404Z test_pow_special (__main__.TestNamedTensor) ... ok (0.002s) 2022-11-23T01:42:46.8989921Z test_py3_ellipsis (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:42:46.8990422Z test_reduction_fns (__main__.TestNamedTensor) ... ok (0.105s) 2022-11-23T01:42:46.8990916Z test_refine_names (__main__.TestNamedTensor) ... ok (0.009s) 2022-11-23T01:42:46.8991390Z test_rename (__main__.TestNamedTensor) ... ok (0.008s) 2022-11-23T01:42:46.8992058Z test_rename_ (__main__.TestNamedTensor) ... ok (0.007s) 2022-11-23T01:42:46.8992557Z test_rename_globber (__main__.TestNamedTensor) ... ok (0.003s) 2022-11-23T01:42:46.8993057Z test_rename_rename_map (__main__.TestNamedTensor) ... ok (0.002s) 2022-11-23T01:42:46.8993550Z test_repr (__main__.TestNamedTensor) ... ok (0.002s) 2022-11-23T01:42:46.8994015Z test_resize (__main__.TestNamedTensor) ... ok (0.007s) 2022-11-23T01:42:46.8994479Z test_select (__main__.TestNamedTensor) ... ok (0.003s) 2022-11-23T01:42:46.8994991Z test_select_cuda (__main__.TestNamedTensor) ... skip: no CUDA (0.000s) 2022-11-23T01:42:46.8995525Z test_set_names_property (__main__.TestNamedTensor) ... ok (0.005s) 2022-11-23T01:42:46.8996115Z test_size (__main__.TestNamedTensor) ... ok (0.007s) 2022-11-23T01:42:46.8996619Z test_split_fns_propagates_names (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:42:46.8997138Z test_squeeze (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:42:46.8997616Z test_stride (__main__.TestNamedTensor) ... ok (0.007s) 2022-11-23T01:42:46.8998093Z test_tensor_from_lists (__main__.TestNamedTensor) ... ok (0.003s) 2022-11-23T01:42:46.8999062Z test_tensor_from_named_tensor (__main__.TestNamedTensor) ... test_namedtensor.py:516: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T01:42:46.8999929Z tensor = torch.tensor(x) 2022-11-23T01:42:46.9000722Z test_namedtensor.py:522: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T01:42:46.9001471Z tensor = torch.tensor(x, names=None) 2022-11-23T01:42:46.9002280Z test_namedtensor.py:527: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T01:42:46.9003177Z tensor = torch.tensor(x, names=('N', 'C')) 2022-11-23T01:42:46.9003552Z ok (0.003s) 2022-11-23T01:42:46.9003964Z test_tensor_from_numpy (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:42:46.9004912Z test_tensor_from_tensor (__main__.TestNamedTensor) ... test_namedtensor.py:511: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T01:42:46.9005768Z tensor = torch.tensor(x, names=names) 2022-11-23T01:42:46.9006130Z ok (0.001s) 2022-11-23T01:42:46.9006559Z test_tensor_grad_is_unnamed (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:42:46.9007108Z test_transpose_variants (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:42:46.9007613Z test_trivial (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:42:46.9008123Z test_unary_propagate_names_fns (__main__.TestNamedTensor) ... ok (0.020s) 2022-11-23T01:42:46.9008654Z test_unflatten (__main__.TestNamedTensor) ... ok (0.016s) 2022-11-23T01:42:46.9009174Z test_unsupported_op_error_msg (__main__.TestNamedTensor) ... ok (0.010s) 2022-11-23T01:42:46.9009765Z test_using_seen_interned_string_doesnt_bump_refcount (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:42:46.9010440Z test_using_unseen_interned_string_bumps_refcount_permanently (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:42:46.9011091Z test_using_unseen_uninterned_string_refcounts (__main__.TestNamedTensor) ... ok (0.001s) 2022-11-23T01:42:46.9011443Z 2022-11-23T01:42:46.9011840Z ---------------------------------------------------------------------- 2022-11-23T01:42:46.9012278Z Ran 86 tests in 0.899s 2022-11-23T01:42:46.9012490Z 2022-11-23T01:42:46.9012626Z OK (skipped=4) 2022-11-23T01:42:46.9012818Z 2022-11-23T01:42:46.9012980Z Generating XML reports... 2022-11-23T01:42:46.9013885Z Generated XML report: test-reports/python-unittest/test_namedtensor/TEST-TestNamedTensor-20221123014245.xml 2022-11-23T01:42:46.9014336Z 2022-11-23T01:42:46.9014812Z ##[endgroup] 2022-11-23T01:42:46.9015559Z FINISHED PRINTING LOG FILE of test_namedtensor (/var/lib/jenkins/workspace/test/test-reports/test_namedtensor_etyvb5f1) 2022-11-23T01:42:46.9015987Z 2022-11-23T01:42:48.2509992Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:42:48.3973092Z Ignoring disabled issues: [] 2022-11-23T01:42:48.4151541Z Running test_model_dump ... [2022-11-23 01:42:48.414822] 2022-11-23T01:42:48.4152878Z Executing ['/opt/conda/bin/python', '-bb', 'test_model_dump.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:42:48.415091] 2022-11-23T01:42:48.7657720Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:42:48.9489122Z Ignoring disabled issues: [] 2022-11-23T01:42:48.9661374Z Running dynamo/test_verify_correctness ... [2022-11-23 01:42:48.965784] 2022-11-23T01:42:48.9663113Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_verify_correctness.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:42:48.966084] 2022-11-23T01:42:50.8031789Z 2022-11-23T01:42:50.8032397Z Expand the folded group to see the log file of test_model_dump 2022-11-23T01:42:50.8033600Z ##[group]PRINTING LOG FILE of test_model_dump (/var/lib/jenkins/workspace/test/test-reports/test_model_dump_mynayqhj) 2022-11-23T01:42:50.8034475Z Test results will be stored in test-reports/python-unittest/test_model_dump 2022-11-23T01:42:50.8034759Z 2022-11-23T01:42:50.8034892Z Running tests... 2022-11-23T01:42:50.8035442Z ---------------------------------------------------------------------- 2022-11-23T01:42:50.8036133Z test_inline_skeleton (__main__.TestModelDump) ... ok (0.266s) 2022-11-23T01:42:50.8036581Z test_invalid_json (__main__.TestModelDump) ... ok (0.019s) 2022-11-23T01:42:50.8037034Z test_main (__main__.TestModelDump) ... ok (0.016s) 2022-11-23T01:42:50.8037515Z test_memory_computation (__main__.TestModelDump) ... skip: Webdriver not requested (0.002s) 2022-11-23T01:42:50.8038056Z test_model_with_lists (__main__.TestModelDump) ... ok (0.004s) 2022-11-23T01:42:50.8038579Z test_optimized_quantized_model (__main__.TestModelDump) ... ok (0.300s) 2022-11-23T01:42:50.8039112Z test_quantized_model (__main__.TestModelDump) ... ok (0.203s) 2022-11-23T01:42:50.8039633Z test_scripted_model (__main__.TestModelDump) ... ok (0.011s) 2022-11-23T01:42:50.8040158Z test_traced_model (__main__.TestModelDump) ... ok (0.017s) 2022-11-23T01:42:50.8040451Z 2022-11-23T01:42:50.8040860Z ---------------------------------------------------------------------- 2022-11-23T01:42:50.8041353Z Ran 9 tests in 0.840s 2022-11-23T01:42:50.8041573Z 2022-11-23T01:42:50.8041721Z OK (skipped=1) 2022-11-23T01:42:50.8041933Z 2022-11-23T01:42:50.8042105Z Generating XML reports... 2022-11-23T01:42:50.8042889Z Generated XML report: test-reports/python-unittest/test_model_dump/TEST-TestModelDump-20221123014249.xml 2022-11-23T01:42:50.8043339Z 2022-11-23T01:42:50.8043870Z ##[endgroup] 2022-11-23T01:42:50.8044608Z FINISHED PRINTING LOG FILE of test_model_dump (/var/lib/jenkins/workspace/test/test-reports/test_model_dump_mynayqhj) 2022-11-23T01:42:50.8045012Z 2022-11-23T01:42:51.1126605Z 2022-11-23T01:42:51.1127127Z Expand the folded group to see the log file of dynamo/test_verify_correctness 2022-11-23T01:42:51.1128345Z ##[group]PRINTING LOG FILE of dynamo/test_verify_correctness (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_verify_correctness_acnb71n4) 2022-11-23T01:42:51.1129375Z Test results will be stored in test-reports/python-unittest/dynamo.test_verify_correctness 2022-11-23T01:42:51.1129754Z 2022-11-23T01:42:51.1129893Z Running tests... 2022-11-23T01:42:51.1130432Z ---------------------------------------------------------------------- 2022-11-23T01:42:51.1130990Z test_example_inputs (__main__.TestVerifyCorrectness) ... ok (0.359s) 2022-11-23T01:42:51.1131734Z test_incorrect_verify_false (__main__.TestVerifyCorrectness) 2022-11-23T01:42:51.1132533Z The bad optimization return a graph that ... stats [('calls_captured', 3), ('fusions_possible', 2), ('unique_graphs', 1)] 2022-11-23T01:42:51.1133139Z frames [('total', 2), ('ok', 2)] 2022-11-23T01:42:51.1133723Z stats [('calls_captured', 7), ('fusions_possible', 5), ('unique_graphs', 2)] 2022-11-23T01:42:51.1134143Z ok (0.017s) 2022-11-23T01:42:51.1134556Z test_incorrect_verify_true (__main__.TestVerifyCorrectness) 2022-11-23T01:42:51.1135388Z If a bad optimization return a graph that ... [2022-11-23 01:42:50,685] torch._dynamo.eval_frame: [ERROR] error in verify_correctness 2022-11-23T01:42:51.1136009Z Traceback (most recent call last): 2022-11-23T01:42:51.1136675Z File "/opt/conda/lib/python3.7/site-packages/torch/_dynamo/eval_frame.py", line 354, in __call__ 2022-11-23T01:42:51.1137250Z raise RuntimeError(f"incorrect results of backend {self}") 2022-11-23T01:42:51.1137879Z RuntimeError: incorrect results of backend 2022-11-23T01:42:51.1138483Z frames [('total', 2), ('ok', 1)] 2022-11-23T01:42:51.1139241Z stats [('calls_captured', 7), ('fusions_possible', 5), ('unique_graphs', 1)] 2022-11-23T01:42:51.1139659Z ok (0.017s) 2022-11-23T01:42:51.1140110Z test_ipex_fp32 (__main__.TestVerifyCorrectness) ... skip: requires ipex (0.001s) 2022-11-23T01:42:51.1140825Z test_nnc (__main__.TestVerifyCorrectness) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:51.1141484Z stats [('calls_captured', 4), ('fusions_possible', 3), ('unique_graphs', 1)] 2022-11-23T01:42:51.1141897Z ok (0.089s) 2022-11-23T01:42:51.1142102Z 2022-11-23T01:42:51.1142452Z ---------------------------------------------------------------------- 2022-11-23T01:42:51.1142886Z Ran 5 tests in 0.483s 2022-11-23T01:42:51.1143091Z 2022-11-23T01:42:51.1143224Z OK (skipped=1) 2022-11-23T01:42:51.1143420Z 2022-11-23T01:42:51.1143578Z Generating XML reports... 2022-11-23T01:42:51.1144402Z Generated XML report: test-reports/python-unittest/dynamo.test_verify_correctness/TEST-TestVerifyCorrectness-20221123014250.xml 2022-11-23T01:42:51.1144888Z 2022-11-23T01:42:51.1145338Z ##[endgroup] 2022-11-23T01:42:51.1146145Z FINISHED PRINTING LOG FILE of dynamo/test_verify_correctness (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_verify_correctness_acnb71n4) 2022-11-23T01:42:51.1146608Z 2022-11-23T01:42:52.7712399Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:42:52.9133616Z Ignoring disabled issues: [] 2022-11-23T01:42:52.9307154Z Running test_monitor ... [2022-11-23 01:42:52.930389] 2022-11-23T01:42:52.9308601Z Executing ['/opt/conda/bin/python', '-bb', 'test_monitor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:42:52.930650] 2022-11-23T01:42:53.0427015Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:42:53.1635092Z Ignoring disabled issues: [] 2022-11-23T01:42:53.1811310Z Running test_fx_reinplace_pass ... [2022-11-23 01:42:53.180803] 2022-11-23T01:42:53.1812692Z Executing ['/opt/conda/bin/python', '-bb', 'test_fx_reinplace_pass.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:42:53.181074] 2022-11-23T01:42:55.2547882Z 2022-11-23T01:42:55.2548692Z Expand the folded group to see the log file of test_fx_reinplace_pass 2022-11-23T01:42:55.2549820Z ##[group]PRINTING LOG FILE of test_fx_reinplace_pass (/var/lib/jenkins/workspace/test/test-reports/test_fx_reinplace_pass_zxdq31ss) 2022-11-23T01:42:55.2550697Z Test results will be stored in test-reports/python-unittest/test_fx_reinplace_pass 2022-11-23T01:42:55.2550987Z 2022-11-23T01:42:55.2551098Z Running tests... 2022-11-23T01:42:55.2551419Z ---------------------------------------------------------------------- 2022-11-23T01:42:55.2551723Z test_out_node_updated (__main__.TestReinplacePass) ... ok (0.270s) 2022-11-23T01:42:55.2552006Z test_reinplace_basic (__main__.TestReinplacePass) ... ok (0.006s) 2022-11-23T01:42:55.2552506Z test_reinplace_different_metadata (__main__.TestReinplacePass) ... ok (0.007s) 2022-11-23T01:42:55.2552825Z test_reinplace_index_mutation (__main__.TestReinplacePass) ... ok (0.019s) 2022-11-23T01:42:55.2553126Z test_reinplace_overlapping_memory (__main__.TestReinplacePass) ... ok (0.007s) 2022-11-23T01:42:55.2553434Z test_reinplace_scatter_op (__main__.TestReinplacePass) ... ok (0.055s) 2022-11-23T01:42:55.2553735Z test_reinplace_scatter_twice (__main__.TestReinplacePass) ... ok (0.057s) 2022-11-23T01:42:55.2554073Z test_reinplace_scatter_twice_with_different_view_op_invalid (__main__.TestReinplacePass) ... ok (0.013s) 2022-11-23T01:42:55.2554432Z test_reinplace_scatter_twice_with_different_view_op_invalid2 (__main__.TestReinplacePass) ... ok (0.013s) 2022-11-23T01:42:55.2554868Z test_reinplace_scatter_twice_with_different_view_op_valid (__main__.TestReinplacePass) ... ok (0.014s) 2022-11-23T01:42:55.2555192Z test_reinplace_with_view (__main__.TestReinplacePass) ... ok (0.008s) 2022-11-23T01:42:55.2555368Z 2022-11-23T01:42:55.2555577Z ---------------------------------------------------------------------- 2022-11-23T01:42:55.2555804Z Ran 11 tests in 0.470s 2022-11-23T01:42:55.2555914Z 2022-11-23T01:42:55.2555975Z OK 2022-11-23T01:42:55.2556066Z 2022-11-23T01:42:55.2556149Z Generating XML reports... 2022-11-23T01:42:55.2556577Z Generated XML report: test-reports/python-unittest/test_fx_reinplace_pass/TEST-TestReinplacePass-20221123014254.xml 2022-11-23T01:42:55.2556821Z 2022-11-23T01:42:55.2557087Z ##[endgroup] 2022-11-23T01:42:55.2557495Z FINISHED PRINTING LOG FILE of test_fx_reinplace_pass (/var/lib/jenkins/workspace/test/test-reports/test_fx_reinplace_pass_zxdq31ss) 2022-11-23T01:42:55.2557727Z 2022-11-23T01:42:55.2896691Z 2022-11-23T01:42:55.2897105Z Expand the folded group to see the log file of test_monitor 2022-11-23T01:42:55.2898053Z ##[group]PRINTING LOG FILE of test_monitor (/var/lib/jenkins/workspace/test/test-reports/test_monitor_2i_rm_hz) 2022-11-23T01:42:55.2899082Z Test results will be stored in test-reports/python-unittest/test_monitor 2022-11-23T01:42:55.2899422Z 2022-11-23T01:42:55.2899562Z Running tests... 2022-11-23T01:42:55.2899977Z ---------------------------------------------------------------------- 2022-11-23T01:42:55.2900369Z test_event_handler (__main__.TestMonitor) ... ok (0.259s) 2022-11-23T01:42:55.2900760Z test_fixed_count_stat (__main__.TestMonitor) ... ok (0.001s) 2022-11-23T01:42:55.2901043Z test_interval_stat (__main__.TestMonitor) ... ok (0.002s) 2022-11-23T01:42:55.2901282Z test_log_event (__main__.TestMonitor) ... ok (0.001s) 2022-11-23T01:42:55.2901555Z test_event_handler (__main__.TestMonitorTensorboard) ... ok (0.411s) 2022-11-23T01:42:55.2901737Z 2022-11-23T01:42:55.2901941Z ---------------------------------------------------------------------- 2022-11-23T01:42:55.2902163Z Ran 5 tests in 0.675s 2022-11-23T01:42:55.2902276Z 2022-11-23T01:42:55.2902335Z OK 2022-11-23T01:42:55.2902425Z 2022-11-23T01:42:55.2902509Z Generating XML reports... 2022-11-23T01:42:55.2902907Z Generated XML report: test-reports/python-unittest/test_monitor/TEST-TestMonitor-20221123014254.xml 2022-11-23T01:42:55.2903430Z Generated XML report: test-reports/python-unittest/test_monitor/TEST-TestMonitorTensorboard-20221123014254.xml 2022-11-23T01:42:55.2903670Z 2022-11-23T01:42:55.2903918Z ##[endgroup] 2022-11-23T01:42:55.2904275Z FINISHED PRINTING LOG FILE of test_monitor (/var/lib/jenkins/workspace/test/test-reports/test_monitor_2i_rm_hz) 2022-11-23T01:42:55.2904484Z 2022-11-23T01:42:57.2219839Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:42:57.2629573Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:42:57.3735640Z Ignoring disabled issues: [] 2022-11-23T01:42:57.3879249Z Ignoring disabled issues: [] 2022-11-23T01:42:57.3911041Z Running nn/test_packed_sequence ... [2022-11-23 01:42:57.390821] 2022-11-23T01:42:57.3913725Z Executing ['/opt/conda/bin/python', '-bb', 'nn/test_packed_sequence.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:42:57.391096] 2022-11-23T01:42:57.4060314Z Running dynamo/test_global ... [2022-11-23 01:42:57.405726] 2022-11-23T01:42:57.4062772Z Executing ['/opt/conda/bin/python', '-bb', 'dynamo/test_global.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:42:57.406030] 2022-11-23T01:42:59.4175227Z 2022-11-23T01:42:59.4175775Z Expand the folded group to see the log file of nn/test_packed_sequence 2022-11-23T01:42:59.4176852Z ##[group]PRINTING LOG FILE of nn/test_packed_sequence (/var/lib/jenkins/workspace/test/test-reports/nn-test_packed_sequence_x3_cg8rw) 2022-11-23T01:42:59.4177826Z Test results will be stored in test-reports/python-unittest/nn.test_packed_sequence 2022-11-23T01:42:59.4178451Z 2022-11-23T01:42:59.4178574Z Running tests... 2022-11-23T01:42:59.4179241Z ---------------------------------------------------------------------- 2022-11-23T01:42:59.4179812Z test_pack_padded_sequence (__main__.PackedSequenceTest) ... ok (0.286s) 2022-11-23T01:42:59.4180354Z test_pack_sequence (__main__.PackedSequenceTest) ... ok (0.090s) 2022-11-23T01:42:59.4180866Z test_pad_sequence (__main__.PackedSequenceTest) ... ok (0.018s) 2022-11-23T01:42:59.4181245Z test_pad_sequence_with_non_iterable_sequences (__main__.PackedSequenceTest) ... ok (0.001s) 2022-11-23T01:42:59.4181579Z test_pad_sequence_with_tensor_sequences (__main__.PackedSequenceTest) ... ok (0.001s) 2022-11-23T01:42:59.4181856Z test_to (__main__.PackedSequenceTest) ... ok (0.002s) 2022-11-23T01:42:59.4182126Z test_to_memory_format (__main__.PackedSequenceTest) ... ok (0.001s) 2022-11-23T01:42:59.4182405Z test_total_length (__main__.PackedSequenceTest) ... ok (0.004s) 2022-11-23T01:42:59.4182658Z test_type_casts (__main__.PackedSequenceTest) 2022-11-23T01:42:59.4182949Z Test type casting of `PackedSequence` against type casting of tensor ... ok (0.023s) 2022-11-23T01:42:59.4183258Z test_unpack_sequence (__main__.PackedSequenceTest) ... ok (0.011s) 2022-11-23T01:42:59.4183547Z test_unpad_sequence (__main__.PackedSequenceTest) ... ok (0.010s) 2022-11-23T01:42:59.4183814Z test_wrong_order (__main__.PackedSequenceTest) ... ok (0.005s) 2022-11-23T01:42:59.4183969Z 2022-11-23T01:42:59.4184172Z ---------------------------------------------------------------------- 2022-11-23T01:42:59.4184408Z Ran 12 tests in 0.454s 2022-11-23T01:42:59.4184519Z 2022-11-23T01:42:59.4184568Z OK 2022-11-23T01:42:59.4184659Z 2022-11-23T01:42:59.4184743Z Generating XML reports... 2022-11-23T01:42:59.4185191Z Generated XML report: test-reports/python-unittest/nn.test_packed_sequence/TEST-PackedSequenceTest-20221123014258.xml 2022-11-23T01:42:59.4185438Z 2022-11-23T01:42:59.4185665Z ##[endgroup] 2022-11-23T01:42:59.4186070Z FINISHED PRINTING LOG FILE of nn/test_packed_sequence (/var/lib/jenkins/workspace/test/test-reports/nn-test_packed_sequence_x3_cg8rw) 2022-11-23T01:42:59.4186301Z 2022-11-23T01:42:59.5540338Z 2022-11-23T01:42:59.5541134Z Expand the folded group to see the log file of dynamo/test_global 2022-11-23T01:42:59.5542133Z ##[group]PRINTING LOG FILE of dynamo/test_global (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_global_1pwabbq_) 2022-11-23T01:42:59.5542657Z Test results will be stored in test-reports/python-unittest/dynamo.test_global 2022-11-23T01:42:59.5542840Z 2022-11-23T01:42:59.5542901Z Running tests... 2022-11-23T01:42:59.5543209Z ---------------------------------------------------------------------- 2022-11-23T01:42:59.5543493Z test_store_global_1 (__main__.TestGlobals) ... ok (0.356s) 2022-11-23T01:42:59.5543842Z test_store_global_2 (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:59.5544198Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:59.5544475Z frames [('total', 2), ('ok', 2)] 2022-11-23T01:42:59.5544806Z stats [('calls_captured', 2), ('unique_graphs', 2), ('fusions_possible', 0)] 2022-11-23T01:42:59.5545033Z ok (0.010s) 2022-11-23T01:42:59.5545524Z test_store_global_cross_file (__main__.TestGlobals) ... frames [('total', 2), ('ok', 2)] 2022-11-23T01:42:59.5545771Z unimplemented [] 2022-11-23T01:42:59.5546183Z graph_break [('call_function BuiltinVariable(setattr) [PythonModuleVariable(), ConstantVariable(str), TensorVariable()] {}', 1)] 2022-11-23T01:42:59.5546595Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:42:59.5546818Z ok (0.009s) 2022-11-23T01:42:59.5547117Z test_store_global_dict (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:59.5547459Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:59.5547683Z ok (0.006s) 2022-11-23T01:42:59.5548042Z test_store_global_dict_2 (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:59.5548273Z inline_call [] 2022-11-23T01:42:59.5548645Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:59.5548866Z ok (0.007s) 2022-11-23T01:42:59.5549169Z test_store_global_inline_1 (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:59.5549386Z inline_call [] 2022-11-23T01:42:59.5549677Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:59.5549900Z ok (0.010s) 2022-11-23T01:42:59.5550189Z test_store_global_inline_2 (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:59.5550420Z inline_call [] 2022-11-23T01:42:59.5550710Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:59.5550919Z ok (0.012s) 2022-11-23T01:42:59.5551216Z test_store_global_list (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:59.5551574Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:59.5551781Z ok (0.006s) 2022-11-23T01:42:59.5552080Z test_store_global_list_2 (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:59.5552307Z inline_call [] 2022-11-23T01:42:59.5552599Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:59.5552807Z ok (0.007s) 2022-11-23T01:42:59.5553101Z test_store_global_new (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:59.5553454Z stats [('calls_captured', 2), ('fusions_possible', 1), ('unique_graphs', 1)] 2022-11-23T01:42:59.5553664Z ok (0.005s) 2022-11-23T01:42:59.5553959Z test_store_global_object (__main__.TestGlobals) ... frames [('total', 1), ('ok', 1)] 2022-11-23T01:42:59.5554310Z stats [('calls_captured', 1), ('unique_graphs', 1), ('fusions_possible', 0)] 2022-11-23T01:42:59.5554522Z ok (0.006s) 2022-11-23T01:42:59.5554623Z 2022-11-23T01:42:59.5554821Z ---------------------------------------------------------------------- 2022-11-23T01:42:59.5555060Z Ran 11 tests in 0.436s 2022-11-23T01:42:59.5555172Z 2022-11-23T01:42:59.5555231Z OK 2022-11-23T01:42:59.5555308Z 2022-11-23T01:42:59.5555391Z Generating XML reports... 2022-11-23T01:42:59.5555795Z Generated XML report: test-reports/python-unittest/dynamo.test_global/TEST-TestGlobals-20221123014258.xml 2022-11-23T01:42:59.5556023Z 2022-11-23T01:42:59.5556276Z ##[endgroup] 2022-11-23T01:42:59.5556651Z FINISHED PRINTING LOG FILE of dynamo/test_global (/var/lib/jenkins/workspace/test/test-reports/dynamo-test_global_1pwabbq_) 2022-11-23T01:42:59.5556871Z 2022-11-23T01:43:01.3060067Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:43:01.4402114Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:43:01.4509559Z Ignoring disabled issues: [] 2022-11-23T01:43:01.4687181Z Running test_python_dispatch ... [2022-11-23 01:43:01.468409] 2022-11-23T01:43:01.4688967Z Executing ['/opt/conda/bin/python', '-bb', 'test_python_dispatch.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:43:01.468660] 2022-11-23T01:43:01.5619357Z Ignoring disabled issues: [] 2022-11-23T01:43:01.5795225Z Running benchmark_utils/test_benchmark_utils ... [2022-11-23 01:43:01.579169] 2022-11-23T01:43:01.5796762Z Executing ['/opt/conda/bin/python', '-bb', 'benchmark_utils/test_benchmark_utils.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:43:01.579435] 2022-11-23T01:43:03.5278411Z 2022-11-23T01:43:03.5279357Z Expand the folded group to see the log file of test_python_dispatch 2022-11-23T01:43:03.5280481Z ##[group]PRINTING LOG FILE of test_python_dispatch (/var/lib/jenkins/workspace/test/test-reports/test_python_dispatch_rw0o2mk1) 2022-11-23T01:43:03.5281374Z Test results will be stored in test-reports/python-unittest/test_python_dispatch 2022-11-23T01:43:03.5281694Z 2022-11-23T01:43:03.5281814Z Running tests... 2022-11-23T01:43:03.5282520Z ---------------------------------------------------------------------- 2022-11-23T01:43:03.5283031Z test_all_same_mode (__main__.TestPythonDispatch) ... ok (0.261s) 2022-11-23T01:43:03.5283577Z test_autograd_in_attr (__main__.TestPythonDispatch) ... ok (0.002s) 2022-11-23T01:43:03.5284087Z test_basic (__main__.TestPythonDispatch) ... ok (0.006s) 2022-11-23T01:43:03.5284669Z test_capture_logs_with_torch_dispatch_mode (__main__.TestPythonDispatch) ... ok (0.002s) 2022-11-23T01:43:03.5285276Z test_construct_int_tensor (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:43:03.5285828Z test_custom_autograd (__main__.TestPythonDispatch) ... ok (0.005s) 2022-11-23T01:43:03.5286416Z test_deepcopy_non_wrapper_subclass (__main__.TestPythonDispatch) ... ok (0.002s) 2022-11-23T01:43:03.5287027Z test_deepcopy_wrapper_subclass (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:43:03.5287705Z test_deepcopy_wrapper_subclass_with_clone_returning_different_type (__main__.TestPythonDispatch) ... ok (0.002s) 2022-11-23T01:43:03.5288390Z test_detach_appears_twice_when_called_once (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:43:03.5288982Z test_device_slowpath (__main__.TestPythonDispatch) ... ok (0.003s) 2022-11-23T01:43:03.5289518Z test_dim_slowpath (__main__.TestPythonDispatch) ... ok (0.002s) 2022-11-23T01:43:03.5290051Z test_dispatch_super_call (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:43:03.5290632Z test_dispatch_super_call_list_arg (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:43:03.5291245Z test_dispatch_super_dont_autograd (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:43:03.5291846Z test_error_using_class_method_on_mode (__main__.TestPythonDispatch) ... ok (0.006s) 2022-11-23T01:43:03.5292418Z test_exception_handling (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:43:03.5292970Z test_fancy_strides (__main__.TestPythonDispatch) ... ok (0.002s) 2022-11-23T01:43:03.5293489Z test_format (__main__.TestPythonDispatch) ... ok (0.002s) 2022-11-23T01:43:03.5293991Z test_get_cur_mode (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:43:03.5294524Z test_get_mode_stack (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:43:03.5295121Z test_index_put_where_only_index_is_subclass (__main__.TestPythonDispatch) ... ok (0.002s) 2022-11-23T01:43:03.5295898Z test_invalid_ret (__main__.TestPythonDispatch) ... test_python_dispatch.py:448: DeprecationWarning: Please use assertRaisesRegex instead. 2022-11-23T01:43:03.5296595Z RuntimeError, "Unable to cast", lambda: A(torch.zeros(1)).detach(), 2022-11-23T01:43:03.5297014Z ok (0.001s) 2022-11-23T01:43:03.5297466Z test_is_contiguous_slow_path (__main__.TestPythonDispatch) ... ok (0.003s) 2022-11-23T01:43:03.5298000Z test_kwarg_only (__main__.TestPythonDispatch) ... ok (0.002s) 2022-11-23T01:43:03.5298576Z test_kwarg_only_and_positional_default (__main__.TestPythonDispatch) ... ok (0.002s) 2022-11-23T01:43:03.5299390Z test_layout_slow_path (__main__.TestPythonDispatch) ... ok (0.003s) 2022-11-23T01:43:03.5299916Z test_like (__main__.TestPythonDispatch) ... ok (0.002s) 2022-11-23T01:43:03.5300408Z test_list_ret (__main__.TestPythonDispatch) ... ok (0.002s) 2022-11-23T01:43:03.5300957Z test_make_subclass_with_modes (__main__.TestPythonDispatch) ... ok (0.002s) 2022-11-23T01:43:03.5301716Z test_make_wrapper_subclass_noalloc (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:43:03.5302354Z test_make_wrapper_subclass_propagates_metadata (__main__.TestPythonDispatch) ... ok (0.002s) 2022-11-23T01:43:03.5302967Z test_maybe_tuple_bug (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:43:03.5303532Z test_mode_with_make_subclass (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:43:03.5304105Z test_multiple_ops_subclass (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:43:03.5304686Z test_nested_push_logging_tensor_mode (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:43:03.5305353Z test_nesting_same_mode (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:43:03.5305881Z test_new_ones (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:43:03.5306393Z test_none_wrapping (__main__.TestPythonDispatch) ... ok (0.009s) 2022-11-23T01:43:03.5306940Z test_notimplemented_mode (__main__.TestPythonDispatch) ... ok (0.002s) 2022-11-23T01:43:03.5307508Z test_optional_tensor_list (__main__.TestPythonDispatch) ... woof 2022-11-23T01:43:03.5307925Z ok (0.002s) 2022-11-23T01:43:03.5308399Z test_out (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:43:03.5308916Z test_produce_real_type (__main__.TestPythonDispatch) ... ok (0.002s) 2022-11-23T01:43:03.5309452Z test_set_data (__main__.TestPythonDispatch) ... ok (0.002s) 2022-11-23T01:43:03.5309981Z test_shallow_copy_and_detach (__main__.TestPythonDispatch) ... ok (0.002s) 2022-11-23T01:43:03.5310540Z test_sizes_slow_path (__main__.TestPythonDispatch) ... ok (0.003s) 2022-11-23T01:43:03.5311102Z test_standard_is_not_subclass (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:43:03.5312569Z test_storage (__main__.TestPythonDispatch) ... /opt/conda/lib/python3.7/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:43:03.5313512Z warnings.warn(message, UserWarning) 2022-11-23T01:43:03.5313884Z ok (0.002s) 2022-11-23T01:43:03.5314377Z test_storage_can_be_converted_to_python_object (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:43:03.5314961Z test_strides_slow_path (__main__.TestPythonDispatch) ... ok (0.003s) 2022-11-23T01:43:03.5315553Z test_subclass_autograd_device_check (__main__.TestPythonDispatch) ... ok (0.003s) 2022-11-23T01:43:03.5316149Z test_subclass_creation (__main__.TestPythonDispatch) ... ok (0.006s) 2022-11-23T01:43:03.5316687Z test_subclass_priority (__main__.TestPythonDispatch) ... ok (0.002s) 2022-11-23T01:43:03.5317338Z test_tolist_numpy_with_torch_dispatch_mode (__main__.TestPythonDispatch) ... ok (0.003s) 2022-11-23T01:43:03.5317949Z test_torch_dispatch_mode_basic (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:43:03.5318578Z test_torch_dispatch_mode_respects_no_dispatch (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:43:03.5319213Z test_torch_dispatch_mode_subclass_priority (__main__.TestPythonDispatch) ... ok (0.002s) 2022-11-23T01:43:03.5319851Z test_torch_dispatch_mode_unrelated_tensors (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:43:03.5320416Z test_version (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:43:03.5320971Z test_with_mode_created_separately (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:43:03.5321526Z test_with_nested_modes (__main__.TestPythonDispatch) ... ok (0.001s) 2022-11-23T01:43:03.5322096Z test_wrapper_subclass_serializes (__main__.TestPythonDispatch) ... ok (0.002s) 2022-11-23T01:43:03.5322653Z test_basic (__main__.TestPythonDispatcher) ... ok (0.001s) 2022-11-23T01:43:03.5323150Z test_lstsq (__main__.TestPythonDispatcher) ... ok (0.016s) 2022-11-23T01:43:03.5323690Z test_alias_analysis (__main__.TestPythonRegistration) ... ok (0.006s) 2022-11-23T01:43:03.5324264Z test_create_new_library (__main__.TestPythonRegistration) ... ok (0.002s) 2022-11-23T01:43:03.5324974Z test_error_for_unsupported_ns_or_kind (__main__.TestPythonRegistration) ... ok (0.001s) 2022-11-23T01:43:03.5325590Z test_error_if_fn_not_callable (__main__.TestPythonRegistration) ... ok (0.001s) 2022-11-23T01:43:03.5326220Z test_extend_library_with_dispatch_key_arg (__main__.TestPythonRegistration) ... ok (0.003s) 2022-11-23T01:43:03.5327550Z test_override_aten_ops_with_multiple_libraries (__main__.TestPythonRegistration) ... /opt/conda/lib/python3.7/site-packages/torch/library.py:125: UserWarning: Overriding a previously registered kernel for the same operator and the same dispatch key 2022-11-23T01:43:03.5328648Z operator: aten::mul.Tensor(Tensor self, Tensor other) -> Tensor 2022-11-23T01:43:03.5329219Z registered at /var/lib/jenkins/workspace/build/aten/src/ATen/RegisterSchema.cpp:6 2022-11-23T01:43:03.5329721Z dispatch key: ZeroTensor 2022-11-23T01:43:03.5330303Z previous kernel: registered at /var/lib/jenkins/workspace/aten/src/ATen/BatchingRegistrations.cpp:1068 2022-11-23T01:43:03.5331116Z new kernel: registered at /dev/null:628 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/core/dispatch/OperatorEntry.cpp:159.) 2022-11-23T01:43:03.5331899Z self.m.impl(name, dispatch_key if dispatch_key != "" else "CompositeImplicitAutograd", fn) 2022-11-23T01:43:03.5332392Z ok (0.004s) 2022-11-23T01:43:03.5332834Z test_override_cpu_sum (__main__.TestPythonRegistration) ... ok (0.001s) 2022-11-23T01:43:03.5333423Z test_override_cuda_with_jiterator (__main__.TestPythonRegistration) ... ok (0.003s) 2022-11-23T01:43:03.5333771Z 2022-11-23T01:43:03.5334158Z ---------------------------------------------------------------------- 2022-11-23T01:43:03.5334614Z Ran 72 tests in 0.424s 2022-11-23T01:43:03.5334831Z 2022-11-23T01:43:03.5334930Z OK 2022-11-23T01:43:03.5335104Z 2022-11-23T01:43:03.5335263Z Generating XML reports... 2022-11-23T01:43:03.5336064Z Generated XML report: test-reports/python-unittest/test_python_dispatch/TEST-TestPythonDispatch-20221123014302.xml 2022-11-23T01:43:03.5337110Z Generated XML report: test-reports/python-unittest/test_python_dispatch/TEST-TestPythonDispatcher-20221123014302.xml 2022-11-23T01:43:03.5338151Z Generated XML report: test-reports/python-unittest/test_python_dispatch/TEST-TestPythonRegistration-20221123014302.xml 2022-11-23T01:43:03.5338627Z 2022-11-23T01:43:03.5339240Z ##[endgroup] 2022-11-23T01:43:03.5340034Z FINISHED PRINTING LOG FILE of test_python_dispatch (/var/lib/jenkins/workspace/test/test-reports/test_python_dispatch_rw0o2mk1) 2022-11-23T01:43:03.5340467Z 2022-11-23T01:43:03.9942373Z 2022-11-23T01:43:03.9942993Z Expand the folded group to see the log file of benchmark_utils/test_benchmark_utils 2022-11-23T01:43:03.9944269Z ##[group]PRINTING LOG FILE of benchmark_utils/test_benchmark_utils (/var/lib/jenkins/workspace/test/test-reports/benchmark_utils-test_benchmark_utils_59ug5dpm) 2022-11-23T01:43:03.9944959Z Test results will be stored in test-reports/python-unittest/benchmark_utils.test_benchmark_utils 2022-11-23T01:43:03.9945406Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:43:03.9945565Z 2022-11-23T01:43:03.9945643Z Running tests... 2022-11-23T01:43:03.9946007Z ---------------------------------------------------------------------- 2022-11-23T01:43:03.9946853Z test_adaptive_timer (__main__.TestBenchmarkUtils) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T01:43:03.9947979Z [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T01:43:03.9949057Z [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T01:43:03.9949718Z ok (0.191s) 2022-11-23T01:43:03.9950515Z test_collect_callgrind (__main__.TestBenchmarkUtils) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/76932 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.002s) 2022-11-23T01:43:03.9951129Z test_collect_cpp_callgrind (__main__.TestBenchmarkUtils) ... skip: Failing on clang, see 74398 (0.001s) 2022-11-23T01:43:03.9951448Z test_compare (__main__.TestBenchmarkUtils) ... ok (0.096s) 2022-11-23T01:43:03.9951815Z test_cpp_timer (__main__.TestBenchmarkUtils) ... skip: Failing on clang, see 74398 (0.001s) 2022-11-23T01:43:03.9952107Z test_fuzzer (__main__.TestBenchmarkUtils) ... ok (0.003s) 2022-11-23T01:43:03.9952421Z test_manipulate_callgrind_stats (__main__.TestBenchmarkUtils) ... ok (0.045s) 2022-11-23T01:43:03.9952717Z test_timer (__main__.TestBenchmarkUtils) ... ok (0.031s) 2022-11-23T01:43:03.9953037Z test_timer_tiny_fast_snippet (__main__.TestBenchmarkUtils) ... skip: Failing on clang, see 74398 (0.001s) 2022-11-23T01:43:03.9953231Z 2022-11-23T01:43:03.9953426Z ---------------------------------------------------------------------- 2022-11-23T01:43:03.9953671Z Ran 9 tests in 0.370s 2022-11-23T01:43:03.9953786Z 2022-11-23T01:43:03.9953860Z OK (skipped=4) 2022-11-23T01:43:03.9953970Z 2022-11-23T01:43:03.9954044Z Generating XML reports... 2022-11-23T01:43:03.9954504Z Generated XML report: test-reports/python-unittest/benchmark_utils.test_benchmark_utils/TEST-TestBenchmarkUtils-20221123014303.xml 2022-11-23T01:43:03.9954772Z 2022-11-23T01:43:03.9955030Z ##[endgroup] 2022-11-23T01:43:03.9955482Z FINISHED PRINTING LOG FILE of benchmark_utils/test_benchmark_utils (/var/lib/jenkins/workspace/test/test-reports/benchmark_utils-test_benchmark_utils_59ug5dpm) 2022-11-23T01:43:03.9955740Z 2022-11-23T01:43:05.4680587Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:43:05.6087539Z Ignoring disabled issues: [] 2022-11-23T01:43:05.6261041Z Running test_native_functions ... [2022-11-23 01:43:05.625791] 2022-11-23T01:43:05.6263161Z Executing ['/opt/conda/bin/python', '-bb', 'test_native_functions.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:43:05.626120] 2022-11-23T01:43:05.8802039Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:43:06.0017618Z Ignoring disabled issues: [] 2022-11-23T01:43:06.0360782Z Running nn/test_module_hooks ... [2022-11-23 01:43:06.035660] 2022-11-23T01:43:06.0365466Z Executing ['/opt/conda/bin/python', '-bb', 'nn/test_module_hooks.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:43:06.036248] 2022-11-23T01:43:07.6412522Z 2022-11-23T01:43:07.6413061Z Expand the folded group to see the log file of test_native_functions 2022-11-23T01:43:07.6414131Z ##[group]PRINTING LOG FILE of test_native_functions (/var/lib/jenkins/workspace/test/test-reports/test_native_functions_vq6od42b) 2022-11-23T01:43:07.6414958Z Test results will be stored in test-reports/python-unittest/test_native_functions 2022-11-23T01:43:07.6415394Z 2022-11-23T01:43:07.6415533Z Running tests... 2022-11-23T01:43:07.6415997Z ---------------------------------------------------------------------- 2022-11-23T01:43:07.6416314Z test_intlist_error_with_overload (__main__.TestNativeFunctions) ... ok (0.266s) 2022-11-23T01:43:07.6416901Z test_optional_filled_intlist (__main__.TestNativeFunctions) ... pad(): argument 'pad' (position 2) must be tuple of ints, but found element of type str at pos 0 2022-11-23T01:43:07.6417374Z pad(): argument 'pad' must be tuple of ints, but found element of type str at pos 2 2022-11-23T01:43:07.6417836Z pad(): argument 'pad' (position 2) must be tuple of ints, but found element of type str at pos 0 2022-11-23T01:43:07.6418267Z pad(): argument 'pad' (position 2) must be tuple of ints, but found element of type str at pos 0 2022-11-23T01:43:07.6418988Z pad(): argument 'pad' must be tuple of ints, but found element of type str at pos 2 2022-11-23T01:43:07.6419409Z pad(): argument 'pad' (position 2) must be tuple of ints, but found element of type str at pos 0 2022-11-23T01:43:07.6419812Z pad(): argument 'pad' (position 2) must be tuple of ints, not str 2022-11-23T01:43:07.6420032Z ok (0.056s) 2022-11-23T01:43:07.6420268Z test_optional_floatlist (__main__.TestNativeFunctions) ... ok (0.011s) 2022-11-23T01:43:07.6420614Z test_optional_floatlist_invalid (__main__.TestNativeFunctions) ... ok (0.008s) 2022-11-23T01:43:07.6420919Z test_optional_intlist (__main__.TestNativeFunctions) ... ok (0.010s) 2022-11-23T01:43:07.6421329Z test_optional_intlist_invalid (__main__.TestNativeFunctions) ... ok (0.007s) 2022-11-23T01:43:07.6421630Z test_string_defaults (__main__.TestNativeFunctions) ... ok (0.007s) 2022-11-23T01:43:07.6422151Z test_symintlist_error (__main__.TestNativeFunctions) ... pad(): argument 'pad' (position 2) must be tuple of ints, but found element of type str at pos 0 2022-11-23T01:43:07.6422601Z pad(): argument 'pad' must be tuple of ints, but found element of type str at pos 2 2022-11-23T01:43:07.6423059Z pad(): argument 'pad' (position 2) must be tuple of ints, but found element of type str at pos 0 2022-11-23T01:43:07.6423516Z pad(): argument 'pad' (position 2) must be tuple of ints, but found element of type str at pos 0 2022-11-23T01:43:07.6423898Z pad(): argument 'pad' must be tuple of ints, but found element of type str at pos 2 2022-11-23T01:43:07.6424345Z pad(): argument 'pad' (position 2) must be tuple of ints, but found element of type str at pos 0 2022-11-23T01:43:07.6424715Z pad(): argument 'pad' (position 2) must be tuple of ints, not str 2022-11-23T01:43:07.6424935Z ok (0.001s) 2022-11-23T01:43:07.6425415Z test_symintlist_error_with_overload (__main__.TestNativeFunctions) ... view() received an invalid combination of arguments - got (tuple), but expected one of: 2022-11-23T01:43:07.6425784Z * (torch.dtype dtype) 2022-11-23T01:43:07.6426119Z didn't match because some of the arguments have invalid types: (!tuple of (str,)!) 2022-11-23T01:43:07.6426354Z * (tuple of ints size) 2022-11-23T01:43:07.6426728Z didn't match because some of the arguments have invalid types: (!tuple of (str,)!) 2022-11-23T01:43:07.6426905Z 2022-11-23T01:43:07.6427118Z view(): argument 'size' must be tuple of ints, but found element of type str at pos 2 2022-11-23T01:43:07.6427550Z view() received an invalid combination of arguments - got (tuple), but expected one of: 2022-11-23T01:43:07.6427806Z * (torch.dtype dtype) 2022-11-23T01:43:07.6428183Z didn't match because some of the arguments have invalid types: (!tuple of (str, int)!) 2022-11-23T01:43:07.6428495Z * (tuple of ints size) 2022-11-23T01:43:07.6428877Z didn't match because some of the arguments have invalid types: (!tuple of (str, int)!) 2022-11-23T01:43:07.6429060Z 2022-11-23T01:43:07.6429286Z view() received an invalid combination of arguments - got (list), but expected one of: 2022-11-23T01:43:07.6429586Z * (torch.dtype dtype) 2022-11-23T01:43:07.6429895Z didn't match because some of the arguments have invalid types: (!list of [str]!) 2022-11-23T01:43:07.6430140Z * (tuple of ints size) 2022-11-23T01:43:07.6430505Z didn't match because some of the arguments have invalid types: (!list of [str]!) 2022-11-23T01:43:07.6430678Z 2022-11-23T01:43:07.6430880Z view(): argument 'size' must be tuple of ints, but found element of type str at pos 2 2022-11-23T01:43:07.6431316Z view() received an invalid combination of arguments - got (list), but expected one of: 2022-11-23T01:43:07.6431570Z * (torch.dtype dtype) 2022-11-23T01:43:07.6431951Z didn't match because some of the arguments have invalid types: (!list of [str, int]!) 2022-11-23T01:43:07.6432191Z * (tuple of ints size) 2022-11-23T01:43:07.6432527Z didn't match because some of the arguments have invalid types: (!list of [str, int]!) 2022-11-23T01:43:07.6432740Z 2022-11-23T01:43:07.6433040Z view() received an invalid combination of arguments - got (str), but expected one of: 2022-11-23T01:43:07.6433295Z * (torch.dtype dtype) 2022-11-23T01:43:07.6433637Z didn't match because some of the arguments have invalid types: (!str!) 2022-11-23T01:43:07.6433875Z * (tuple of ints size) 2022-11-23T01:43:07.6434227Z didn't match because some of the arguments have invalid types: (!str!) 2022-11-23T01:43:07.6434380Z 2022-11-23T01:43:07.6434447Z ok (0.001s) 2022-11-23T01:43:07.6434980Z test_symintlist_error_with_overload_but_is_unique (__main__.TestNativeFunctions) ... set_() received an invalid combination of arguments - got (Tensor, int, tuple), but expected one of: 2022-11-23T01:43:07.6435352Z * () 2022-11-23T01:43:07.6435511Z * (torch.Storage source) 2022-11-23T01:43:07.6435825Z * (torch.Storage source, int storage_offset, tuple of ints size, tuple of ints stride) 2022-11-23T01:43:07.6436068Z * (Tensor source) 2022-11-23T01:43:07.6436302Z * (Tensor source, int storage_offset, tuple of ints size, tuple of ints stride) 2022-11-23T01:43:07.6436520Z 2022-11-23T01:43:07.6436736Z set_(): argument 'size' must be tuple of ints, but found element of type str at pos 2 2022-11-23T01:43:07.6437194Z set_() received an invalid combination of arguments - got (Tensor, int, tuple), but expected one of: 2022-11-23T01:43:07.6437446Z * () 2022-11-23T01:43:07.6437600Z * (torch.Storage source) 2022-11-23T01:43:07.6437883Z * (torch.Storage source, int storage_offset, tuple of ints size, tuple of ints stride) 2022-11-23T01:43:07.6438152Z * (Tensor source) 2022-11-23T01:43:07.6438384Z * (Tensor source, int storage_offset, tuple of ints size, tuple of ints stride) 2022-11-23T01:43:07.6438552Z 2022-11-23T01:43:07.6438842Z set_() received an invalid combination of arguments - got (Tensor, int, list), but expected one of: 2022-11-23T01:43:07.6439090Z * () 2022-11-23T01:43:07.6439243Z * (torch.Storage source) 2022-11-23T01:43:07.6439555Z * (torch.Storage source, int storage_offset, tuple of ints size, tuple of ints stride) 2022-11-23T01:43:07.6439796Z * (Tensor source) 2022-11-23T01:43:07.6440038Z * (Tensor source, int storage_offset, tuple of ints size, tuple of ints stride) 2022-11-23T01:43:07.6440243Z 2022-11-23T01:43:07.6440462Z set_(): argument 'size' must be tuple of ints, but found element of type str at pos 2 2022-11-23T01:43:07.6440872Z set_() received an invalid combination of arguments - got (Tensor, int, list), but expected one of: 2022-11-23T01:43:07.6441162Z * () 2022-11-23T01:43:07.6441318Z * (torch.Storage source) 2022-11-23T01:43:07.6441579Z * (torch.Storage source, int storage_offset, tuple of ints size, tuple of ints stride) 2022-11-23T01:43:07.6441874Z * (Tensor source) 2022-11-23T01:43:07.6442104Z * (Tensor source, int storage_offset, tuple of ints size, tuple of ints stride) 2022-11-23T01:43:07.6442271Z 2022-11-23T01:43:07.6442561Z set_() received an invalid combination of arguments - got (Tensor, int, str), but expected one of: 2022-11-23T01:43:07.6442808Z * () 2022-11-23T01:43:07.6442977Z * (torch.Storage source) 2022-11-23T01:43:07.6443273Z * (torch.Storage source, int storage_offset, tuple of ints size, tuple of ints stride) 2022-11-23T01:43:07.6443518Z * (Tensor source) 2022-11-23T01:43:07.6443766Z * (Tensor source, int storage_offset, tuple of ints size, tuple of ints stride) 2022-11-23T01:43:07.6443951Z 2022-11-23T01:43:07.6444033Z ok (0.001s) 2022-11-23T01:43:07.6444476Z test_vararg_symintlist_error (__main__.TestNativeFunctions) ... rand(): argument 'size' (position 1) must be tuple of ints, but found element of type str at pos 0 2022-11-23T01:43:07.6444977Z rand(): argument 'size' must be tuple of ints, but found element of type str at pos 2 2022-11-23T01:43:07.6445379Z rand(): argument 'size' (position 1) must be tuple of ints, but found element of type str at pos 0 2022-11-23T01:43:07.6445830Z rand(): argument 'size' (position 1) must be tuple of ints, but found element of type str at pos 0 2022-11-23T01:43:07.6446314Z rand(): argument 'size' must be tuple of ints, but found element of type str at pos 2 2022-11-23T01:43:07.6446723Z rand(): argument 'size' (position 1) must be tuple of ints, but found element of type str at pos 0 2022-11-23T01:43:07.6447186Z rand(): argument 'size' (position 1) must be tuple of ints, but found element of type str at pos 0 2022-11-23T01:43:07.6447582Z rand(): argument 'size' (position 1) must be tuple of ints, but found element of type str at pos 0 2022-11-23T01:43:07.6448027Z rand(): argument 'size' must be tuple of ints, but found element of type str at pos 2 2022-11-23T01:43:07.6448422Z rand() received an invalid combination of arguments - got (str, int), but expected one of: 2022-11-23T01:43:07.6448926Z * (tuple of ints size, *, torch.Generator generator, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-11-23T01:43:07.6449422Z * (tuple of ints size, *, torch.Generator generator, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-11-23T01:43:07.6449918Z * (tuple of ints size, *, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-11-23T01:43:07.6450346Z * (tuple of ints size, *, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-11-23T01:43:07.6450577Z 2022-11-23T01:43:07.6450828Z rand(): argument 'size' (position 1) must be tuple of ints, but found element of type str at pos 0 2022-11-23T01:43:07.6451243Z rand(): argument 'size' must be tuple of ints, but found element of type str at pos 2 2022-11-23T01:43:07.6451641Z rand() received an invalid combination of arguments - got (str, int), but expected one of: 2022-11-23T01:43:07.6452066Z * (tuple of ints size, *, torch.Generator generator, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-11-23T01:43:07.6452544Z * (tuple of ints size, *, torch.Generator generator, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-11-23T01:43:07.6453013Z * (tuple of ints size, *, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-11-23T01:43:07.6453465Z * (tuple of ints size, *, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-11-23T01:43:07.6453696Z 2022-11-23T01:43:07.6453940Z rand() received an invalid combination of arguments - got (str, str, str), but expected one of: 2022-11-23T01:43:07.6454370Z * (tuple of ints size, *, torch.Generator generator, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-11-23T01:43:07.6454843Z * (tuple of ints size, *, torch.Generator generator, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-11-23T01:43:07.6455291Z * (tuple of ints size, *, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-11-23T01:43:07.6455719Z * (tuple of ints size, *, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) 2022-11-23T01:43:07.6455950Z 2022-11-23T01:43:07.6456016Z ok (0.001s) 2022-11-23T01:43:07.6456105Z 2022-11-23T01:43:07.6456304Z ---------------------------------------------------------------------- 2022-11-23T01:43:07.6456546Z Ran 11 tests in 0.370s 2022-11-23T01:43:07.6456658Z 2022-11-23T01:43:07.6456733Z OK 2022-11-23T01:43:07.6456857Z 2022-11-23T01:43:07.6456933Z Generating XML reports... 2022-11-23T01:43:07.6457373Z Generated XML report: test-reports/python-unittest/test_native_functions/TEST-TestNativeFunctions-20221123014306.xml 2022-11-23T01:43:07.6457618Z 2022-11-23T01:43:07.6457906Z ##[endgroup] 2022-11-23T01:43:07.6458343Z FINISHED PRINTING LOG FILE of test_native_functions (/var/lib/jenkins/workspace/test/test-reports/test_native_functions_vq6od42b) 2022-11-23T01:43:07.6458570Z 2022-11-23T01:43:07.9298482Z 2022-11-23T01:43:07.9299150Z Expand the folded group to see the log file of nn/test_module_hooks 2022-11-23T01:43:07.9300146Z ##[group]PRINTING LOG FILE of nn/test_module_hooks (/var/lib/jenkins/workspace/test/test-reports/nn-test_module_hooks_xvyvvj5w) 2022-11-23T01:43:07.9301086Z Test results will be stored in test-reports/python-unittest/nn.test_module_hooks 2022-11-23T01:43:07.9301392Z 2022-11-23T01:43:07.9301456Z Running tests... 2022-11-23T01:43:07.9301763Z ---------------------------------------------------------------------- 2022-11-23T01:43:07.9302248Z test_forward_hooks (__main__.TestModuleHooks) ... ok (0.300s) 2022-11-23T01:43:07.9302529Z test_forward_pre_hooks (__main__.TestModuleHooks) ... ok (0.005s) 2022-11-23T01:43:07.9302800Z test_full_backward_hooks (__main__.TestModuleHooks) ... ok (0.005s) 2022-11-23T01:43:07.9303098Z test_full_backward_pre_hooks (__main__.TestModuleHooks) ... ok (0.005s) 2022-11-23T01:43:07.9303378Z test_mixed_hooks (__main__.TestModuleHooks) ... ok (0.005s) 2022-11-23T01:43:07.9303527Z 2022-11-23T01:43:07.9303713Z ---------------------------------------------------------------------- 2022-11-23T01:43:07.9303953Z Ran 5 tests in 0.320s 2022-11-23T01:43:07.9304065Z 2022-11-23T01:43:07.9304124Z OK 2022-11-23T01:43:07.9304215Z 2022-11-23T01:43:07.9304298Z Generating XML reports... 2022-11-23T01:43:07.9304711Z Generated XML report: test-reports/python-unittest/nn.test_module_hooks/TEST-TestModuleHooks-20221123014307.xml 2022-11-23T01:43:07.9304949Z 2022-11-23T01:43:07.9305173Z ##[endgroup] 2022-11-23T01:43:07.9305569Z FINISHED PRINTING LOG FILE of nn/test_module_hooks (/var/lib/jenkins/workspace/test/test-reports/nn-test_module_hooks_xvyvvj5w) 2022-11-23T01:43:07.9305779Z 2022-11-23T01:43:09.5345859Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:43:09.6717192Z Ignoring disabled issues: [] 2022-11-23T01:43:09.6893380Z Running test_pytree ... [2022-11-23 01:43:09.688927] 2022-11-23T01:43:09.6894066Z Executing ['/opt/conda/bin/python', '-bb', 'test_pytree.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:43:09.689176] 2022-11-23T01:43:09.9352064Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:43:10.0783443Z Ignoring disabled issues: [] 2022-11-23T01:43:10.1164383Z Running test_per_overload_api ... [2022-11-23 01:43:10.115939] 2022-11-23T01:43:10.1166144Z Executing ['/opt/conda/bin/python', '-bb', 'test_per_overload_api.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:43:10.116277] 2022-11-23T01:43:11.5634548Z 2022-11-23T01:43:11.5635090Z Expand the folded group to see the log file of test_pytree 2022-11-23T01:43:11.5636109Z ##[group]PRINTING LOG FILE of test_pytree (/var/lib/jenkins/workspace/test/test-reports/test_pytree_2b6k_g7l) 2022-11-23T01:43:11.5636678Z Test results will be stored in test-reports/python-unittest/test_pytree 2022-11-23T01:43:11.5636842Z 2022-11-23T01:43:11.5636915Z Running tests... 2022-11-23T01:43:11.5637215Z ---------------------------------------------------------------------- 2022-11-23T01:43:11.5637512Z test_broadcast_to_and_flatten (__main__.TestPytree) ... ok (0.262s) 2022-11-23T01:43:11.5637780Z test_flatten_unflatten_dict (__main__.TestPytree) ... ok (0.004s) 2022-11-23T01:43:11.5638055Z test_flatten_unflatten_leaf (__main__.TestPytree) ... ok (0.002s) 2022-11-23T01:43:11.5638328Z test_flatten_unflatten_list (__main__.TestPytree) ... ok (0.002s) 2022-11-23T01:43:11.5638609Z test_flatten_unflatten_namedtuple (__main__.TestPytree) ... ok (0.002s) 2022-11-23T01:43:11.5638891Z test_flatten_unflatten_nested (__main__.TestPytree) ... ok (0.001s) 2022-11-23T01:43:11.5639168Z test_flatten_unflatten_odict (__main__.TestPytree) ... ok (0.002s) 2022-11-23T01:43:11.5639456Z test_flatten_unflatten_return_type_max (__main__.TestPytree) ... ok (0.002s) 2022-11-23T01:43:11.5639914Z test_flatten_unflatten_return_type_min (__main__.TestPytree) ... ok (0.001s) 2022-11-23T01:43:11.5640202Z test_flatten_unflatten_tuple (__main__.TestPytree) ... ok (0.002s) 2022-11-23T01:43:11.5640466Z test_tree_all_any (__main__.TestPytree) ... ok (0.001s) 2022-11-23T01:43:11.5640701Z test_tree_only (__main__.TestPytree) ... ok (0.001s) 2022-11-23T01:43:11.5640944Z test_treemap (__main__.TestPytree) ... ok (0.001s) 2022-11-23T01:43:11.5641199Z test_treespec_equality (__main__.TestPytree) ... ok (0.001s) 2022-11-23T01:43:11.5641458Z test_treespec_repr (__main__.TestPytree) ... ok (0.001s) 2022-11-23T01:43:11.5641645Z 2022-11-23T01:43:11.5641842Z ---------------------------------------------------------------------- 2022-11-23T01:43:11.5642079Z Ran 15 tests in 0.285s 2022-11-23T01:43:11.5642191Z 2022-11-23T01:43:11.5642251Z OK 2022-11-23T01:43:11.5642339Z 2022-11-23T01:43:11.5642410Z Generating XML reports... 2022-11-23T01:43:11.5642807Z Generated XML report: test-reports/python-unittest/test_pytree/TEST-TestPytree-20221123014310.xml 2022-11-23T01:43:11.5643024Z 2022-11-23T01:43:11.5643263Z ##[endgroup] 2022-11-23T01:43:11.5643615Z FINISHED PRINTING LOG FILE of test_pytree (/var/lib/jenkins/workspace/test/test-reports/test_pytree_2b6k_g7l) 2022-11-23T01:43:11.5643821Z 2022-11-23T01:43:11.9806495Z 2022-11-23T01:43:11.9806979Z Expand the folded group to see the log file of test_per_overload_api 2022-11-23T01:43:11.9808051Z ##[group]PRINTING LOG FILE of test_per_overload_api (/var/lib/jenkins/workspace/test/test-reports/test_per_overload_api_h533yr9e) 2022-11-23T01:43:11.9808670Z Test results will be stored in test-reports/python-unittest/test_per_overload_api 2022-11-23T01:43:11.9808872Z 2022-11-23T01:43:11.9808946Z Running tests... 2022-11-23T01:43:11.9809240Z ---------------------------------------------------------------------- 2022-11-23T01:43:11.9809548Z test_basics_opoverload (__main__.TestPerOverloadAPI) ... ok (0.265s) 2022-11-23T01:43:11.9809862Z test_basics_opoverloadpacket (__main__.TestPerOverloadAPI) ... ok (0.002s) 2022-11-23T01:43:11.9810147Z test_decompose (__main__.TestPerOverloadAPI) ... ok (0.033s) 2022-11-23T01:43:11.9810299Z 2022-11-23T01:43:11.9810492Z ---------------------------------------------------------------------- 2022-11-23T01:43:11.9810729Z Ran 3 tests in 0.300s 2022-11-23T01:43:11.9810839Z 2022-11-23T01:43:11.9810897Z OK 2022-11-23T01:43:11.9810976Z 2022-11-23T01:43:11.9811058Z Generating XML reports... 2022-11-23T01:43:11.9811497Z Generated XML report: test-reports/python-unittest/test_per_overload_api/TEST-TestPerOverloadAPI-20221123014311.xml 2022-11-23T01:43:11.9811743Z 2022-11-23T01:43:11.9811958Z ##[endgroup] 2022-11-23T01:43:11.9812344Z FINISHED PRINTING LOG FILE of test_per_overload_api (/var/lib/jenkins/workspace/test/test-reports/test_per_overload_api_h533yr9e) 2022-11-23T01:43:11.9812571Z 2022-11-23T01:43:13.4847445Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:43:13.6259412Z Ignoring disabled issues: [] 2022-11-23T01:43:13.6436307Z Running test_set_default_mobile_cpu_allocator ... [2022-11-23 01:43:13.643326] 2022-11-23T01:43:13.6438069Z Executing ['/opt/conda/bin/python', '-bb', 'test_set_default_mobile_cpu_allocator.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:43:13.643576] 2022-11-23T01:43:13.8894281Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:43:14.0097957Z Ignoring disabled issues: [] 2022-11-23T01:43:14.0437423Z Running test_itt ... [2022-11-23 01:43:14.043094] 2022-11-23T01:43:14.0438082Z Executing ['/opt/conda/bin/python', '-bb', 'test_itt.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:43:14.043397] 2022-11-23T01:43:15.5058013Z 2022-11-23T01:43:15.5058677Z Expand the folded group to see the log file of test_set_default_mobile_cpu_allocator 2022-11-23T01:43:15.5059983Z ##[group]PRINTING LOG FILE of test_set_default_mobile_cpu_allocator (/var/lib/jenkins/workspace/test/test-reports/test_set_default_mobile_cpu_allocator_c4m8f45w) 2022-11-23T01:43:15.5060597Z Test results will be stored in test-reports/python-unittest/test_set_default_mobile_cpu_allocator 2022-11-23T01:43:15.5060803Z 2022-11-23T01:43:15.5060878Z Running tests... 2022-11-23T01:43:15.5061188Z ---------------------------------------------------------------------- 2022-11-23T01:43:15.5061506Z test_exception (__main__.TestSetDefaultMobileCPUAllocator) ... ok (0.260s) 2022-11-23T01:43:15.5061855Z test_no_exception (__main__.TestSetDefaultMobileCPUAllocator) ... ok (0.001s) 2022-11-23T01:43:15.5062043Z 2022-11-23T01:43:15.5062241Z ---------------------------------------------------------------------- 2022-11-23T01:43:15.5062547Z Ran 2 tests in 0.261s 2022-11-23T01:43:15.5062649Z 2022-11-23T01:43:15.5062709Z OK 2022-11-23T01:43:15.5062799Z 2022-11-23T01:43:15.5062884Z Generating XML reports... 2022-11-23T01:43:15.5063402Z Generated XML report: test-reports/python-unittest/test_set_default_mobile_cpu_allocator/TEST-TestSetDefaultMobileCPUAllocator-20221123014314.xml 2022-11-23T01:43:15.5063698Z 2022-11-23T01:43:15.5063921Z ##[endgroup] 2022-11-23T01:43:15.5064378Z FINISHED PRINTING LOG FILE of test_set_default_mobile_cpu_allocator (/var/lib/jenkins/workspace/test/test-reports/test_set_default_mobile_cpu_allocator_c4m8f45w) 2022-11-23T01:43:15.5064763Z 2022-11-23T01:43:15.9011745Z 2022-11-23T01:43:15.9012224Z Expand the folded group to see the log file of test_itt 2022-11-23T01:43:15.9013278Z ##[group]PRINTING LOG FILE of test_itt (/var/lib/jenkins/workspace/test/test-reports/test_itt_9azdzjwb) 2022-11-23T01:43:15.9013788Z Test results will be stored in test-reports/python-unittest/test_itt 2022-11-23T01:43:15.9013981Z 2022-11-23T01:43:15.9014056Z Running tests... 2022-11-23T01:43:15.9014352Z ---------------------------------------------------------------------- 2022-11-23T01:43:15.9014620Z test_itt (__main__.TestItt) ... ok (0.265s) 2022-11-23T01:43:15.9014751Z 2022-11-23T01:43:15.9014952Z ---------------------------------------------------------------------- 2022-11-23T01:43:15.9015192Z Ran 1 test in 0.265s 2022-11-23T01:43:15.9015291Z 2022-11-23T01:43:15.9015352Z OK 2022-11-23T01:43:15.9015443Z 2022-11-23T01:43:15.9015531Z Generating XML reports... 2022-11-23T01:43:15.9015913Z Generated XML report: test-reports/python-unittest/test_itt/TEST-TestItt-20221123014315.xml 2022-11-23T01:43:15.9016120Z 2022-11-23T01:43:15.9016324Z ##[endgroup] 2022-11-23T01:43:15.9016677Z FINISHED PRINTING LOG FILE of test_itt (/var/lib/jenkins/workspace/test/test-reports/test_itt_9azdzjwb) 2022-11-23T01:43:15.9016875Z 2022-11-23T01:43:17.4160175Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:43:17.5555920Z Ignoring disabled issues: [] 2022-11-23T01:43:17.5743378Z Running test_native_mha ... [2022-11-23 01:43:17.573999] 2022-11-23T01:43:17.5744887Z Executing ['/opt/conda/bin/python', '-bb', 'test_native_mha.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:43:17.574248] 2022-11-23T01:43:17.8023799Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:43:17.9299669Z Ignoring disabled issues: [] 2022-11-23T01:43:17.9642223Z Running test_numpy_interop ... [2022-11-23 01:43:17.963853] 2022-11-23T01:43:17.9644891Z Executing ['/opt/conda/bin/python', '-bb', 'test_numpy_interop.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:43:17.964169] 2022-11-23T01:43:19.6217631Z 2022-11-23T01:43:19.6218228Z Expand the folded group to see the log file of test_native_mha 2022-11-23T01:43:19.6219347Z ##[group]PRINTING LOG FILE of test_native_mha (/var/lib/jenkins/workspace/test/test-reports/test_native_mha_nf9ge0ox) 2022-11-23T01:43:19.6219970Z Test results will be stored in test-reports/python-unittest/test_native_mha 2022-11-23T01:43:19.6220142Z 2022-11-23T01:43:19.6220215Z Running tests... 2022-11-23T01:43:19.6220583Z ---------------------------------------------------------------------- 2022-11-23T01:43:19.6221107Z test_native_multihead_attention_cpu_float32 (__main__.TestMHADeviceTypeCPU) ... ok (0.007s) 2022-11-23T01:43:19.6221538Z test_native_multihead_encoder_decoder_attention_cpu_float32 (__main__.TestMHADeviceTypeCPU) ... ok (0.003s) 2022-11-23T01:43:19.6222073Z test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32 (__main__.TestMHADeviceTypeCPU) ... ok (0.006s) 2022-11-23T01:43:19.6222639Z test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32 (__main__.TestMHADeviceTypeCPU) ... ok (0.005s) 2022-11-23T01:43:19.6223318Z test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32 (__main__.TestMHADeviceTypeCPU) ... ok (0.006s) 2022-11-23T01:43:19.6223932Z test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32 (__main__.TestMHADeviceTypeCPU) ... ok (0.006s) 2022-11-23T01:43:19.6224525Z test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32 (__main__.TestMHADeviceTypeCPU) ... ok (0.006s) 2022-11-23T01:43:19.6225131Z test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32 (__main__.TestMHADeviceTypeCPU) ... ok (0.006s) 2022-11-23T01:43:19.6225680Z test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32 (__main__.TestMHADeviceTypeCPU) ... ok (0.006s) 2022-11-23T01:43:19.6226291Z test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32 (__main__.TestMHADeviceTypeCPU) ... ok (0.006s) 2022-11-23T01:43:19.6226893Z test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_False_cpu_float32 (__main__.TestMHADeviceTypeCPU) ... ok (0.007s) 2022-11-23T01:43:19.6227483Z test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_True_cpu_float32 (__main__.TestMHADeviceTypeCPU) ... ok (0.007s) 2022-11-23T01:43:19.6228032Z test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_False_cpu_float32 (__main__.TestMHADeviceTypeCPU) ... ok (0.007s) 2022-11-23T01:43:19.6228697Z test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_True_cpu_float32 (__main__.TestMHADeviceTypeCPU) ... ok (0.007s) 2022-11-23T01:43:19.6229538Z test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32 (__main__.TestMHADeviceTypeCPU) ... test_native_mha.py:207: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:179.) 2022-11-23T01:43:19.6230205Z q = torch.nested.nested_tensor(qs, device=device, dtype=dtype) 2022-11-23T01:43:19.6230492Z ok (0.007s) 2022-11-23T01:43:19.6230852Z test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32 (__main__.TestMHADeviceTypeCPU) ... ok (0.007s) 2022-11-23T01:43:19.6231457Z test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32 (__main__.TestMHADeviceTypeCPU) ... ok (0.007s) 2022-11-23T01:43:19.6232104Z test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32 (__main__.TestMHADeviceTypeCPU) ... ok (0.007s) 2022-11-23T01:43:19.6232681Z test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32 (__main__.TestMHADeviceTypeCPU) ... ok (0.007s) 2022-11-23T01:43:19.6233233Z test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32 (__main__.TestMHADeviceTypeCPU) ... ok (0.007s) 2022-11-23T01:43:19.6233829Z test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32 (__main__.TestMHADeviceTypeCPU) ... ok (0.007s) 2022-11-23T01:43:19.6234456Z test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32 (__main__.TestMHADeviceTypeCPU) ... ok (0.007s) 2022-11-23T01:43:19.6235062Z test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_False_cpu_float32 (__main__.TestMHADeviceTypeCPU) ... ok (0.008s) 2022-11-23T01:43:19.6235604Z test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_True_cpu_float32 (__main__.TestMHADeviceTypeCPU) ... ok (0.008s) 2022-11-23T01:43:19.6236196Z test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_False_cpu_float32 (__main__.TestMHADeviceTypeCPU) ... ok (0.008s) 2022-11-23T01:43:19.6236794Z test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_True_cpu_float32 (__main__.TestMHADeviceTypeCPU) ... ok (0.008s) 2022-11-23T01:43:19.6237265Z test_transform_bias_rescale_qkv_cpu_float32 (__main__.TestMHADeviceTypeCPU) ... ok (0.013s) 2022-11-23T01:43:19.6237660Z test_transform_bias_rescale_qkv_nested_cpu_float32 (__main__.TestMHADeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:43:19.6237872Z 2022-11-23T01:43:19.6238158Z ---------------------------------------------------------------------- 2022-11-23T01:43:19.6238394Z Ran 28 tests in 0.188s 2022-11-23T01:43:19.6238510Z 2022-11-23T01:43:19.6238582Z OK (skipped=1) 2022-11-23T01:43:19.6238697Z 2022-11-23T01:43:19.6238837Z Generating XML reports... 2022-11-23T01:43:19.6239272Z Generated XML report: test-reports/python-unittest/test_native_mha/TEST-TestMHADeviceTypeCPU-20221123014319.xml 2022-11-23T01:43:19.6239574Z 2022-11-23T01:43:19.6239844Z ##[endgroup] 2022-11-23T01:43:19.6240241Z FINISHED PRINTING LOG FILE of test_native_mha (/var/lib/jenkins/workspace/test/test-reports/test_native_mha_nf9ge0ox) 2022-11-23T01:43:19.6240501Z 2022-11-23T01:43:19.9148967Z 2022-11-23T01:43:19.9149437Z Expand the folded group to see the log file of test_numpy_interop 2022-11-23T01:43:19.9150445Z ##[group]PRINTING LOG FILE of test_numpy_interop (/var/lib/jenkins/workspace/test/test-reports/test_numpy_interop_a672407w) 2022-11-23T01:43:19.9151397Z Test results will be stored in test-reports/python-unittest/test_numpy_interop 2022-11-23T01:43:19.9151732Z 2022-11-23T01:43:19.9151872Z Running tests... 2022-11-23T01:43:19.9152434Z ---------------------------------------------------------------------- 2022-11-23T01:43:19.9153614Z test_ctor_with_invalid_numpy_array_sequence_cpu (__main__.TestNumPyInteropCPU) ... test_numpy_interop.py:265: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_new.cpp:253.) 2022-11-23T01:43:19.9154417Z torch.tensor([np.random.random(size=(3, 3)), np.random.random(size=(3, 0))], device=device) 2022-11-23T01:43:19.9154648Z ok (0.003s) 2022-11-23T01:43:19.9155048Z test_ctor_with_numpy_scalar_ctor_cpu (__main__.TestNumPyInteropCPU) ... ok (0.002s) 2022-11-23T01:43:19.9155398Z test_from_list_of_ndarray_warning_cpu (__main__.TestNumPyInteropCPU) ... ok (0.001s) 2022-11-23T01:43:19.9155913Z test_from_numpy_cpu (__main__.TestNumPyInteropCPU) ... ok (0.008s) 2022-11-23T01:43:19.9156912Z test_has_storage_numpy_cpu (__main__.TestNumPyInteropCPU) ... /opt/conda/lib/python3.7/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:43:19.9157530Z warnings.warn(message, UserWarning) 2022-11-23T01:43:19.9157728Z ok (0.002s) 2022-11-23T01:43:19.9158003Z test_multiplication_numpy_scalar_cpu (__main__.TestNumPyInteropCPU) ... ok (0.002s) 2022-11-23T01:43:19.9158373Z test_numpy_array_interface_cpu (__main__.TestNumPyInteropCPU) ... ok (0.011s) 2022-11-23T01:43:19.9158682Z test_numpy_index_cpu (__main__.TestNumPyInteropCPU) ... ok (0.001s) 2022-11-23T01:43:19.9159034Z test_numpy_non_writeable_cpu (__main__.TestNumPyInteropCPU) ... ok (0.003s) 2022-11-23T01:43:19.9159338Z test_numpy_scalar_cmp_cpu_bfloat16 (__main__.TestNumPyInteropCPU) ... ok (0.002s) 2022-11-23T01:43:19.9159704Z test_numpy_scalar_cmp_cpu_bool (__main__.TestNumPyInteropCPU) ... ok (0.003s) 2022-11-23T01:43:19.9160025Z test_numpy_scalar_cmp_cpu_complex128 (__main__.TestNumPyInteropCPU) ... ok (0.003s) 2022-11-23T01:43:19.9160502Z test_numpy_scalar_cmp_cpu_complex64 (__main__.TestNumPyInteropCPU) ... test_numpy_interop.py:471: ComplexWarning: Casting complex values to real discards the imaginary part 2022-11-23T01:43:19.9160839Z self.assertFalse(t == a) 2022-11-23T01:43:19.9161023Z ok (0.003s) 2022-11-23T01:43:19.9161320Z test_numpy_scalar_cmp_cpu_float16 (__main__.TestNumPyInteropCPU) ... ok (0.003s) 2022-11-23T01:43:19.9161621Z test_numpy_scalar_cmp_cpu_float32 (__main__.TestNumPyInteropCPU) ... ok (0.003s) 2022-11-23T01:43:19.9161989Z test_numpy_scalar_cmp_cpu_float64 (__main__.TestNumPyInteropCPU) ... ok (0.002s) 2022-11-23T01:43:19.9162306Z test_numpy_scalar_cmp_cpu_int16 (__main__.TestNumPyInteropCPU) ... ok (0.002s) 2022-11-23T01:43:19.9162636Z test_numpy_scalar_cmp_cpu_int32 (__main__.TestNumPyInteropCPU) ... ok (0.002s) 2022-11-23T01:43:19.9162956Z test_numpy_scalar_cmp_cpu_int64 (__main__.TestNumPyInteropCPU) ... ok (0.002s) 2022-11-23T01:43:19.9163259Z test_numpy_scalar_cmp_cpu_int8 (__main__.TestNumPyInteropCPU) ... ok (0.002s) 2022-11-23T01:43:19.9163616Z test_numpy_scalar_cmp_cpu_uint8 (__main__.TestNumPyInteropCPU) ... ok (0.002s) 2022-11-23T01:43:19.9163915Z test_numpy_unresizable_cpu (__main__.TestNumPyInteropCPU) ... ok (0.004s) 2022-11-23T01:43:19.9164732Z test_parse_numpy_int_cpu (__main__.TestNumPyInteropCPU) ... /opt/conda/lib/python3.7/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T01:43:19.9165281Z warnings.warn(message, UserWarning) 2022-11-23T01:43:19.9165475Z ok (0.005s) 2022-11-23T01:43:19.9165743Z test_to_numpy_bool_cpu (__main__.TestNumPyInteropCPU) ... ok (0.002s) 2022-11-23T01:43:19.9166035Z test_to_numpy_cpu (__main__.TestNumPyInteropCPU) ... ok (0.033s) 2022-11-23T01:43:19.9166338Z test_to_numpy_force_argument_cpu (__main__.TestNumPyInteropCPU) ... ok (0.016s) 2022-11-23T01:43:19.9166566Z 2022-11-23T01:43:19.9166771Z ---------------------------------------------------------------------- 2022-11-23T01:43:19.9166998Z Ran 26 tests in 0.123s 2022-11-23T01:43:19.9167109Z 2022-11-23T01:43:19.9167185Z OK 2022-11-23T01:43:19.9167310Z 2022-11-23T01:43:19.9167396Z Generating XML reports... 2022-11-23T01:43:19.9167818Z Generated XML report: test-reports/python-unittest/test_numpy_interop/TEST-TestNumPyInteropCPU-20221123014319.xml 2022-11-23T01:43:19.9168118Z 2022-11-23T01:43:19.9168428Z ##[endgroup] 2022-11-23T01:43:19.9168882Z FINISHED PRINTING LOG FILE of test_numpy_interop (/var/lib/jenkins/workspace/test/test-reports/test_numpy_interop_a672407w) 2022-11-23T01:43:19.9169105Z 2022-11-23T01:43:21.5166868Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:43:21.6573846Z Ignoring disabled issues: [] 2022-11-23T01:43:21.6749902Z Running test_dlpack ... [2022-11-23 01:43:21.674690] 2022-11-23T01:43:21.6751549Z Executing ['/opt/conda/bin/python', '-bb', 'test_dlpack.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:43:21.674954] 2022-11-23T01:43:21.8210748Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:43:21.9411190Z Ignoring disabled issues: [] 2022-11-23T01:43:23.5331690Z 2022-11-23T01:43:23.5332229Z Expand the folded group to see the log file of test_dlpack 2022-11-23T01:43:23.5333279Z ##[group]PRINTING LOG FILE of test_dlpack (/var/lib/jenkins/workspace/test/test-reports/test_dlpack_bciqyba1) 2022-11-23T01:43:23.5334020Z Test results will be stored in test-reports/python-unittest/test_dlpack 2022-11-23T01:43:23.5334301Z 2022-11-23T01:43:23.5334406Z Running tests... 2022-11-23T01:43:23.5334903Z ---------------------------------------------------------------------- 2022-11-23T01:43:23.5335379Z test_dlpack_capsule_conversion_cpu_bfloat16 (__main__.TestTorchDlPackCPU) ... ok (0.003s) 2022-11-23T01:43:23.5335945Z test_dlpack_capsule_conversion_cpu_complex128 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5336572Z test_dlpack_capsule_conversion_cpu_complex64 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5337208Z test_dlpack_capsule_conversion_cpu_float16 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5337785Z test_dlpack_capsule_conversion_cpu_float32 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5338166Z test_dlpack_capsule_conversion_cpu_float64 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5338609Z test_dlpack_capsule_conversion_cpu_int16 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5339297Z test_dlpack_capsule_conversion_cpu_int32 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5339911Z test_dlpack_capsule_conversion_cpu_int64 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5340440Z test_dlpack_capsule_conversion_cpu_int8 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5340931Z test_dlpack_capsule_conversion_cpu_uint8 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5341525Z test_dlpack_conversion_with_diff_streams_cpu_bfloat16 (__main__.TestTorchDlPackCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:43:23.5342246Z test_dlpack_conversion_with_diff_streams_cpu_complex128 (__main__.TestTorchDlPackCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:43:23.5342976Z test_dlpack_conversion_with_diff_streams_cpu_complex64 (__main__.TestTorchDlPackCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:43:23.5343403Z test_dlpack_conversion_with_diff_streams_cpu_float16 (__main__.TestTorchDlPackCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:43:23.5343790Z test_dlpack_conversion_with_diff_streams_cpu_float32 (__main__.TestTorchDlPackCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:43:23.5344218Z test_dlpack_conversion_with_diff_streams_cpu_float64 (__main__.TestTorchDlPackCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:43:23.5344593Z test_dlpack_conversion_with_diff_streams_cpu_int16 (__main__.TestTorchDlPackCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:43:23.5344975Z test_dlpack_conversion_with_diff_streams_cpu_int32 (__main__.TestTorchDlPackCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:43:23.5345358Z test_dlpack_conversion_with_diff_streams_cpu_int64 (__main__.TestTorchDlPackCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:43:23.5345907Z test_dlpack_conversion_with_diff_streams_cpu_int8 (__main__.TestTorchDlPackCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:43:23.5346280Z test_dlpack_conversion_with_diff_streams_cpu_uint8 (__main__.TestTorchDlPackCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:43:23.5346673Z test_dlpack_conversion_with_streams_cpu_bfloat16 (__main__.TestTorchDlPackCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:43:23.5347062Z test_dlpack_conversion_with_streams_cpu_complex128 (__main__.TestTorchDlPackCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:43:23.5347454Z test_dlpack_conversion_with_streams_cpu_complex64 (__main__.TestTorchDlPackCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:43:23.5347883Z test_dlpack_conversion_with_streams_cpu_float16 (__main__.TestTorchDlPackCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:43:23.5348261Z test_dlpack_conversion_with_streams_cpu_float32 (__main__.TestTorchDlPackCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:43:23.5348723Z test_dlpack_conversion_with_streams_cpu_float64 (__main__.TestTorchDlPackCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:43:23.5349103Z test_dlpack_conversion_with_streams_cpu_int16 (__main__.TestTorchDlPackCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:43:23.5349467Z test_dlpack_conversion_with_streams_cpu_int32 (__main__.TestTorchDlPackCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:43:23.5349846Z test_dlpack_conversion_with_streams_cpu_int64 (__main__.TestTorchDlPackCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:43:23.5350223Z test_dlpack_conversion_with_streams_cpu_int8 (__main__.TestTorchDlPackCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:43:23.5350598Z test_dlpack_conversion_with_streams_cpu_uint8 (__main__.TestTorchDlPackCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:43:23.5350948Z test_dlpack_default_stream_cpu (__main__.TestTorchDlPackCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T01:43:23.5351286Z test_dlpack_error_on_bool_tensor_cpu (__main__.TestTorchDlPackCPU) ... ok (0.003s) 2022-11-23T01:43:23.5351605Z test_dlpack_export_is_conj_cpu (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5351907Z test_dlpack_export_non_strided_cpu (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5352229Z test_dlpack_export_requires_grad_cpu (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5352549Z test_dlpack_normalize_strides_cpu (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5352880Z test_dlpack_protocol_conversion_cpu_bfloat16 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5353209Z test_dlpack_protocol_conversion_cpu_complex128 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5353554Z test_dlpack_protocol_conversion_cpu_complex64 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5353895Z test_dlpack_protocol_conversion_cpu_float16 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5354219Z test_dlpack_protocol_conversion_cpu_float32 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5354550Z test_dlpack_protocol_conversion_cpu_float64 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5354883Z test_dlpack_protocol_conversion_cpu_int16 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5355211Z test_dlpack_protocol_conversion_cpu_int32 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5355525Z test_dlpack_protocol_conversion_cpu_int64 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5355851Z test_dlpack_protocol_conversion_cpu_int8 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5356178Z test_dlpack_protocol_conversion_cpu_uint8 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5356499Z test_dlpack_shared_storage_cpu (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5356814Z test_dlpack_tensor_invalid_stream_cpu_bfloat16 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5357200Z test_dlpack_tensor_invalid_stream_cpu_complex128 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5357548Z test_dlpack_tensor_invalid_stream_cpu_complex64 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5357878Z test_dlpack_tensor_invalid_stream_cpu_float16 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5358216Z test_dlpack_tensor_invalid_stream_cpu_float32 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5358552Z test_dlpack_tensor_invalid_stream_cpu_float64 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5358888Z test_dlpack_tensor_invalid_stream_cpu_int16 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5359239Z test_dlpack_tensor_invalid_stream_cpu_int32 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5359569Z test_dlpack_tensor_invalid_stream_cpu_int64 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5359900Z test_dlpack_tensor_invalid_stream_cpu_int8 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5360216Z test_dlpack_tensor_invalid_stream_cpu_uint8 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5360530Z test_from_dlpack_cpu_bfloat16 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5360840Z test_from_dlpack_cpu_complex128 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5361154Z test_from_dlpack_cpu_complex64 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5361445Z test_from_dlpack_cpu_float16 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5361747Z test_from_dlpack_cpu_float32 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5362047Z test_from_dlpack_cpu_float64 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5362329Z test_from_dlpack_cpu_int16 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5362622Z test_from_dlpack_cpu_int32 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5362923Z test_from_dlpack_cpu_int64 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5363219Z test_from_dlpack_cpu_int8 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5363502Z test_from_dlpack_cpu_uint8 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5363807Z test_from_dlpack_dtype_cpu_bfloat16 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5364129Z test_from_dlpack_dtype_cpu_complex128 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5364441Z test_from_dlpack_dtype_cpu_complex64 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5364764Z test_from_dlpack_dtype_cpu_float16 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5365081Z test_from_dlpack_dtype_cpu_float32 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5365394Z test_from_dlpack_dtype_cpu_float64 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5365692Z test_from_dlpack_dtype_cpu_int16 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5365999Z test_from_dlpack_dtype_cpu_int32 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5366307Z test_from_dlpack_dtype_cpu_int64 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5366602Z test_from_dlpack_dtype_cpu_int8 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5366909Z test_from_dlpack_dtype_cpu_uint8 (__main__.TestTorchDlPackCPU) ... ok (0.001s) 2022-11-23T01:43:23.5367234Z test_from_dlpack_noncontinguous_cpu_bfloat16 (__main__.TestTorchDlPackCPU) ... ok (0.002s) 2022-11-23T01:43:23.5367577Z test_from_dlpack_noncontinguous_cpu_complex128 (__main__.TestTorchDlPackCPU) ... ok (0.002s) 2022-11-23T01:43:23.5367912Z test_from_dlpack_noncontinguous_cpu_complex64 (__main__.TestTorchDlPackCPU) ... ok (0.002s) 2022-11-23T01:43:23.5368251Z test_from_dlpack_noncontinguous_cpu_float16 (__main__.TestTorchDlPackCPU) ... ok (0.002s) 2022-11-23T01:43:23.5368619Z test_from_dlpack_noncontinguous_cpu_float32 (__main__.TestTorchDlPackCPU) ... ok (0.002s) 2022-11-23T01:43:23.5368951Z test_from_dlpack_noncontinguous_cpu_float64 (__main__.TestTorchDlPackCPU) ... ok (0.002s) 2022-11-23T01:43:23.5369265Z test_from_dlpack_noncontinguous_cpu_int16 (__main__.TestTorchDlPackCPU) ... ok (0.002s) 2022-11-23T01:43:23.5369593Z test_from_dlpack_noncontinguous_cpu_int32 (__main__.TestTorchDlPackCPU) ... ok (0.002s) 2022-11-23T01:43:23.5369918Z test_from_dlpack_noncontinguous_cpu_int64 (__main__.TestTorchDlPackCPU) ... ok (0.002s) 2022-11-23T01:43:23.5370236Z test_from_dlpack_noncontinguous_cpu_int8 (__main__.TestTorchDlPackCPU) ... ok (0.002s) 2022-11-23T01:43:23.5370594Z test_from_dlpack_noncontinguous_cpu_uint8 (__main__.TestTorchDlPackCPU) ... ok (0.002s) 2022-11-23T01:43:23.5370777Z 2022-11-23T01:43:23.5371031Z ---------------------------------------------------------------------- 2022-11-23T01:43:23.5371276Z Ran 95 tests in 0.106s 2022-11-23T01:43:23.5371377Z 2022-11-23T01:43:23.5371451Z OK (skipped=23) 2022-11-23T01:43:23.5371563Z 2022-11-23T01:43:23.5371649Z Generating XML reports... 2022-11-23T01:43:23.5372079Z Generated XML report: test-reports/python-unittest/test_dlpack/TEST-TestTorchDlPackCPU-20221123014323.xml 2022-11-23T01:43:23.5372314Z 2022-11-23T01:43:23.5372601Z ##[endgroup] 2022-11-23T01:43:23.5372970Z FINISHED PRINTING LOG FILE of test_dlpack (/var/lib/jenkins/workspace/test/test-reports/test_dlpack_bciqyba1) 2022-11-23T01:43:23.5373186Z 2022-11-23T01:43:23.9340905Z Running inductor/test_torchinductor_opinfo ... [2022-11-23 01:43:23.933658] 2022-11-23T01:43:25.3942676Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:43:25.3963158Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:43:25.5165204Z Ignoring disabled issues: [] 2022-11-23T01:43:25.5348419Z Executing ['/opt/conda/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '--shard-id=0', '--num-shards=2', '-k=not _linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:43:25.534411] 2022-11-23T01:43:25.5410878Z Ignoring disabled issues: [] 2022-11-23T01:43:25.5592529Z Executing ['/opt/conda/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '--shard-id=1', '--num-shards=2', '-k=not _linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 01:43:25.558934] 2022-11-23T01:58:55.2866765Z 2022-11-23T01:58:55.2867331Z Expand the folded group to see the log file of inductor/test_torchinductor_opinfo 2022-11-23T01:58:55.2869976Z ##[group]PRINTING LOG FILE of inductor/test_torchinductor_opinfo (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_opinfo_a9omzxb4) 2022-11-23T01:58:55.2870902Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T01:58:55.2871828Z Test results will be stored in test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-3bc85e72bd53ed6f.xml 2022-11-23T01:58:55.2872469Z ============================= test session starts ============================== 2022-11-23T01:58:55.2932440Z platform linux -- Python 3.7.13, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python 2022-11-23T01:58:55.2932952Z cachedir: .pytest_cache 2022-11-23T01:58:55.2933406Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2022-11-23T01:58:55.2933777Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini 2022-11-23T01:58:55.2934198Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2 2022-11-23T01:58:55.2934559Z collecting ... collected 2709 items / 2 deselected / 2707 selected 2022-11-23T01:58:55.3111479Z Running 1311 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_H_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_H_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_T_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___getitem___cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___getitem___cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___getitem___cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___radd___cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___radd___cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rand___cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rdiv___cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rdiv___cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rdiv___cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rdiv___cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmatmul___cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmatmul___cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmatmul___cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmod___cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmul___cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___ror___cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___ror___cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rpow___cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rpow___cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rsub___cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rsub___cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rsub___cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rxor___cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rxor___cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__softmax_backward_data_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_abs_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_abs_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acos_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acos_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acosh_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acosh_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acosh_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acosh_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acosh_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_add_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_add_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_add_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_add_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_add_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addbmm_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addbmm_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addcdiv_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addcmul_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addcmul_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addcmul_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addmm_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addmm_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addmm_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addmm_decomposed_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addmm_decomposed_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addmv_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addmv_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addmv_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addr_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addr_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addr_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addr_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_all_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_all_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_allclose_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amax_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amax_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amax_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amin_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amin_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amin_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amin_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amin_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_aminmax_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_aminmax_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_aminmax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_aminmax_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_aminmax_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_angle_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_angle_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_angle_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_any_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_any_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argmax_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argmax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argmax_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argmax_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argmin_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argmin_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argmin_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argmin_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argmin_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argsort_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argsort_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argsort_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argwhere_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_argwhere_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_as_strided_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_as_strided_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_as_strided_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_as_strided_scatter_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_as_strided_scatter_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_as_strided_scatter_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_asin_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_asin_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_asin_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atan2_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atan2_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atan_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atan_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atanh_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atanh_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_1d_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_1d_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_1d_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_1d_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_2d_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_2d_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_2d_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_2d_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_3d_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_3d_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_3d_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_atleast_3d_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_baddbmm_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_baddbmm_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_baddbmm_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bernoulli_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bernoulli_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bfloat16_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bfloat16_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bfloat16_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bfloat16_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bincount_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_left_shift_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_not_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_or_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_right_shift_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_xor_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_xor_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_xor_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_block_diag_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_block_diag_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_block_diag_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_block_diag_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bmm_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bmm_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bool_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bool_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bool_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bool_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_broadcast_shapes_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_broadcast_tensors_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_broadcast_tensors_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_broadcast_tensors_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_broadcast_to_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_broadcast_to_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bucketize_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_byte_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_byte_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cartesian_prod_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cartesian_prod_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cartesian_prod_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cat_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cat_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cat_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cdist_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cdouble_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cdouble_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cdouble_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ceil_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ceil_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cfloat_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cfloat_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cfloat_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_chalf_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_chalf_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_chalf_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_chalf_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_chalf_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cholesky_inverse_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cholesky_solve_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_chunk_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_chunk_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_chunk_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_chunk_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_max_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_max_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_max_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_min_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clamp_min_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_clone_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_column_stack_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_column_stack_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_column_stack_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_column_stack_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_combinations_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_combinations_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_combinations_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_combinations_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_physical_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_physical_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_constant_pad_nd_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_constant_pad_nd_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_constant_pad_nd_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_contiguous_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_contiguous_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_contiguous_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_copysign_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_copysign_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_copysign_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_copysign_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_corrcoef_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cos_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cos_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cosh_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_count_nonzero_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_count_nonzero_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_count_nonzero_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cov_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cov_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cross_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cross_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummax_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummax_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummin_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummin_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummin_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumprod_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumsum_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumulative_trapezoid_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumulative_trapezoid_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_deg2rad_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_deg2rad_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_deg2rad_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_embed_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagflat_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagflat_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_copy_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_copy_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_scatter_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diff_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_digamma_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_digamma_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dist_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dist_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_floor_rounding_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_floor_rounding_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_floor_rounding_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_no_rounding_mode_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_no_rounding_mode_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_no_rounding_mode_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_no_rounding_mode_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_trunc_rounding_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dot_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dot_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dot_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dot_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_double_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_double_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dsplit_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dsplit_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dsplit_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dstack_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dstack_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dstack_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dstack_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dstack_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_like_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_like_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_like_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_like_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eq_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eq_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_equal_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_equal_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_equal_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_equal_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erf_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfc_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfc_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfc_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfinv_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp2_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_as_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_as_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expm1_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expm1_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eye_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eye_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eye_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eye_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eye_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft2_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft2_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft2_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft2_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftshift_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftshift_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftshift_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft2_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft2_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft2_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft2_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft2_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfftn_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfftn_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfftn_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft2_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft2_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft2_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft2_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftn_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftn_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftn_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftshift_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftshift_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft2_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft2_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft2_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft2_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfftn_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfftn_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfftn_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft2_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft2_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfftn_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft2_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfftn_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfftn_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfftn_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fill_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fill_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fill_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flatten_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flatten_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flatten_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flip_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flip_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fliplr_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fliplr_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fliplr_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flipud_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_power_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_power_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_power_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_divide_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_divide_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmax_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmin_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmin_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmod_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmod_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmod_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmod_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_frac_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_frac_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_frac_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_frexp_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_frexp_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_frexp_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_like_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gather_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gather_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gcd_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ge_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ge_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_geqrf_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_geqrf_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gradient_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gt_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gt_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gt_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_half_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_half_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_half_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_half_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_half_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_heaviside_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_heaviside_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_heaviside_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_heaviside_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_heaviside_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_histc_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_histogramdd_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_histogramdd_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hsplit_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hsplit_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hstack_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hstack_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hypot_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hypot_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_i0_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_i0_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_igammac_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_add_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_add_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_add_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_copy_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_copy_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_fill_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_fill_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_fill_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_fill_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_put_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_put_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_put_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_put_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_select_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_inner_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_int_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_int_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isclose_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isclose_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isclose_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isclose_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isclose_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isin_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isinf_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isinf_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isinf_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isinf_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isnan_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isnan_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isneginf_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isposinf_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isposinf_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isposinf_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isposinf_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isreal_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isreal_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isreal_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isreal_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isreal_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kthvalue_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ldexp_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ldexp_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ldexp_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lerp_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lgamma_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cond_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cond_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cross_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_det_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eigh_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eigvals_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_householder_product_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_householder_product_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_inv_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_inv_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_inv_ex_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_factor_ex_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_factor_ex_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_solve_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_solve_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lstsq_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lstsq_grad_oriented_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_factor_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_factor_ex_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_factor_ex_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_solve_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_norm_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_norm_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_power_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_rank_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_norm_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_norm_subgradients_at_zero_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_pinv_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_pinv_hermitian_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_pinv_singular_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_pinv_singular_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_qr_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_ex_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_ex_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_triangular_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_svd_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_svdvals_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_svdvals_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_tensorinv_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_tensorsolve_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vander_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vander_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linspace_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linspace_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linspace_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linspace_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linspace_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log10_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log10_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log1p_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log1p_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log2_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_with_dtype_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_with_dtype_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logaddexp2_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logaddexp_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logdet_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logdet_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_and_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_and_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_and_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_and_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_not_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_not_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_or_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_or_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_xor_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logit_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logit_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logspace_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logsumexp_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logsumexp_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_long_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_long_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_long_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lt_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lt_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lu_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lu_solve_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lu_unpack_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lu_unpack_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mH_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mH_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mH_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mH_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mT_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amax_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amax_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amin_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amin_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmax_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmax_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmin_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmin_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmin_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumprod_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumsum_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumsum_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_fill_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_fill_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_fill_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_fill_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_log_softmax_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_logaddexp_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_logsumexp_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_logsumexp_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_logsumexp_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_logsumexp_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_mean_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_mean_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_median_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_norm_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_norm_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_norm_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_normalize_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_prod_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_prod_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_prod_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_scatter_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_scatter_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_select_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_select_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_softmin_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_std_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_sum_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_sum_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_sum_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_sum_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_sum_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_sum_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_var_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_matmul_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_matmul_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_matmul_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_binary_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_binary_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_binary_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_pool2d_with_indices_backward_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_no_dim_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_with_dim_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_with_dim_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_with_dim_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_maximum_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_maximum_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_maximum_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mean_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mean_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_binary_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_binary_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_binary_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_no_dim_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_no_dim_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_no_dim_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_no_dim_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_with_dim_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_with_dim_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_with_dim_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_minimum_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_minimum_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_minimum_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_minimum_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mode_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mode_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mode_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mode_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mode_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_movedim_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_movedim_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_movedim_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_movedim_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_movedim_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_msort_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_msort_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_msort_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mul_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mul_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mul_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mv_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mv_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mv_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nan_to_num_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nan_to_num_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanmean_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanmean_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanmean_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanmedian_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanmedian_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanmedian_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanquantile_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nansum_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nansum_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_copy_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_copy_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_batch_norm_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_dropout_backward_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_dropout_backward_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_dropout_backward_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_dropout_backward_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_dropout_backward_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ne_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ne_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_neg_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_neg_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_strided_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_strided_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_strided_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_strided_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_full_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_ones_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_ones_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_ones_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nextafter_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nextafter_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional__scaled_dot_product_attention_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional__scaled_dot_product_attention_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_avg_pool1d_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_adaptive_avg_pool2d_cpu_float32, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_3_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_3_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_4_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_4_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_positive_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_positive_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_positive_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_pow_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_pow_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_pow_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_pow_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_prod_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_prod_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_put_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_put_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_put_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_qr_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_quantile_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rad2deg_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rad2deg_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rad2deg_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rad2deg_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_like_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_like_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_like_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randn_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randn_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randn_like_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randn_like_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randn_like_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ravel_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ravel_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ravel_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_real_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_real_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reciprocal_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reciprocal_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reciprocal_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_remainder_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_remainder_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_remainder_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_remainder_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_renorm_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_renorm_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_interleave_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_as_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_as_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_as_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize__cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize__cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize__cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize_as__cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize_as__cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize_as__cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_conj_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_conj_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_conj_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_conj_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_conj_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_neg_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_neg_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_neg_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_neg_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_neg_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_roll_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_roll_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_roll_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rot90_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rot90_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rot90_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_decimals_0_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_decimals_neg_3_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_decimals_neg_3_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsqrt_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scalar_tensor_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scalar_tensor_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scalar_tensor_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scalar_tensor_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scalar_tensor_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scalar_tensor_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_add_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_add_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amax_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amax_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amin_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amin_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_mean_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_mean_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_mean_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_prod_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_prod_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_prod_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_prod_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_prod_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_sum_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_searchsorted_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_segment_reduce_lengths_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_segment_reduce_offsets_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_scatter_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sgn_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sgn_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sgn_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_short_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_short_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_short_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_short_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_cosine_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_exponential_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_exponential_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_gaussian_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_kaiser_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signbit_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signbit_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signbit_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signbit_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sin_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sin_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinc_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinc_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinh_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinh_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_scatter_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_scatter_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_scatter_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_scatter_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_softmax_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_softmax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_softmax_with_dtype_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_softmax_with_dtype_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_softmax_with_dtype_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sort_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sort_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sort_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sparse_sampled_addmm_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_airy_ai_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j1_cpu_float64, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_u_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_v_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_v_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_v_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_w_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_entr_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_entr_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_entr_cpu_int32, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unbind_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unbind_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unflatten_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unflatten_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unflatten_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unflatten_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_copy_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_uniform_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_uniform_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_consecutive_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_mean_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_mean_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_mean_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vdot_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vdot_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_complex_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_complex_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_float32 2022-11-23T01:58:55.3269132Z 2022-11-23T01:58:55.3270021Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_H_cpu_float64 PASSED [ 0%] 2022-11-23T01:58:55.3270450Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_H_cpu_int64 PASSED [ 0%] 2022-11-23T01:58:55.3270841Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_T_cpu_float32 PASSED [ 0%] 2022-11-23T01:58:55.3271256Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___getitem___cpu_float16 PASSED [ 0%] 2022-11-23T01:58:55.3271691Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___getitem___cpu_float32 PASSED [ 0%] 2022-11-23T01:58:55.3272110Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___getitem___cpu_float64 PASSED [ 0%] 2022-11-23T01:58:55.3272514Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___radd___cpu_bool PASSED [ 0%] 2022-11-23T01:58:55.3272936Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___radd___cpu_float16 PASSED [ 0%] 2022-11-23T01:58:55.3273350Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rand___cpu_int64 PASSED [ 0%] 2022-11-23T01:58:55.3273796Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rdiv___cpu_bool SKIPPED (__rdiv__ in torch.bool not supported) [ 0%] 2022-11-23T01:58:55.3274271Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rdiv___cpu_float64 SKIPPED (__rdiv__ in torch.float64 not supported) [ 0%] 2022-11-23T01:58:55.3274762Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rdiv___cpu_int32 SKIPPED (__rdiv__ in torch.int32 not supported) [ 0%] 2022-11-23T01:58:55.3275376Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rdiv___cpu_int64 SKIPPED (__rdiv__ in torch.int64 not supported) [ 0%] 2022-11-23T01:58:55.3275825Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmatmul___cpu_float32 PASSED [ 1%] 2022-11-23T01:58:55.3276233Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmatmul___cpu_float64 PASSED [ 1%] 2022-11-23T01:58:55.3276653Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmatmul___cpu_int32 PASSED [ 1%] 2022-11-23T01:58:55.3277067Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmod___cpu_float16 PASSED [ 1%] 2022-11-23T01:58:55.3277533Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmul___cpu_int64 PASSED [ 1%] 2022-11-23T01:58:55.3277926Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___ror___cpu_bool PASSED [ 1%] 2022-11-23T01:58:55.3278333Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___ror___cpu_int32 PASSED [ 1%] 2022-11-23T01:58:55.3278744Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rpow___cpu_float16 PASSED [ 1%] 2022-11-23T01:58:55.3279154Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rpow___cpu_int64 PASSED [ 1%] 2022-11-23T01:58:55.3279551Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rsub___cpu_float16 PASSED [ 1%] 2022-11-23T01:58:55.3279962Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rsub___cpu_float32 PASSED [ 1%] 2022-11-23T01:58:55.3280377Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rsub___cpu_int32 PASSED [ 1%] 2022-11-23T01:58:55.3280778Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rxor___cpu_int32 PASSED [ 1%] 2022-11-23T01:58:55.3281168Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rxor___cpu_int64 PASSED [ 2%] 2022-11-23T01:58:55.3281591Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__softmax_backward_data_cpu_float32 PASSED [ 2%] 2022-11-23T01:58:55.3282009Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_abs_cpu_float64 PASSED [ 2%] 2022-11-23T01:58:55.3282410Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_abs_cpu_int32 PASSED [ 2%] 2022-11-23T01:58:55.3282800Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acos_cpu_int32 PASSED [ 2%] 2022-11-23T01:58:55.3283200Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acos_cpu_int64 PASSED [ 2%] 2022-11-23T01:58:55.3283601Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acosh_cpu_bool PASSED [ 2%] 2022-11-23T01:58:55.3283991Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acosh_cpu_float32 PASSED [ 2%] 2022-11-23T01:58:55.3284398Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acosh_cpu_float64 PASSED [ 2%] 2022-11-23T01:58:55.3284797Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acosh_cpu_int32 PASSED [ 2%] 2022-11-23T01:58:55.3285193Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_acosh_cpu_int64 PASSED [ 2%] 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inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addcdiv_cpu_float32 PASSED [ 3%] 2022-11-23T01:58:55.3288813Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addcmul_cpu_float32 PASSED [ 3%] 2022-11-23T01:58:55.3289258Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addcmul_cpu_float64 PASSED [ 3%] 2022-11-23T01:58:55.3289670Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addcmul_cpu_int32 PASSED [ 3%] 2022-11-23T01:58:55.3290076Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addmm_cpu_float32 PASSED [ 3%] 2022-11-23T01:58:55.3290466Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addmm_cpu_float64 PASSED [ 3%] 2022-11-23T01:58:55.3290865Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addmm_cpu_int32 PASSED [ 3%] 2022-11-23T01:58:55.3291285Z 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inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addr_cpu_float64 PASSED [ 4%] 2022-11-23T01:58:55.3294525Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addr_cpu_int64 PASSED [ 4%] 2022-11-23T01:58:55.3294918Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_all_cpu_float32 PASSED [ 4%] 2022-11-23T01:58:55.3295315Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_all_cpu_float64 PASSED [ 4%] 2022-11-23T01:58:55.3295726Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_allclose_cpu_float32 PASSED [ 4%] 2022-11-23T01:58:55.3296133Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amax_cpu_bool PASSED [ 4%] 2022-11-23T01:58:55.3296525Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amax_cpu_float16 PASSED [ 4%] 2022-11-23T01:58:55.3296927Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amax_cpu_float64 PASSED [ 5%] 2022-11-23T01:58:55.3297327Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amax_cpu_int32 PASSED [ 5%] 2022-11-23T01:58:55.3297733Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amin_cpu_bool PASSED [ 5%] 2022-11-23T01:58:55.3298124Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amin_cpu_float16 PASSED [ 5%] 2022-11-23T01:58:55.3298560Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amin_cpu_float64 PASSED [ 5%] 2022-11-23T01:58:55.3299159Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amin_cpu_int32 PASSED [ 5%] 2022-11-23T01:58:55.3299548Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amin_cpu_int64 PASSED [ 5%] 2022-11-23T01:58:55.3299955Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_aminmax_cpu_bool PASSED [ 5%] 2022-11-23T01:58:55.3300367Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_aminmax_cpu_float32 PASSED [ 5%] 2022-11-23T01:58:55.3300782Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_aminmax_cpu_float64 PASSED [ 5%] 2022-11-23T01:58:55.3301249Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_aminmax_cpu_int32 PASSED [ 5%] 2022-11-23T01:58:55.3301650Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_aminmax_cpu_int64 PASSED [ 5%] 2022-11-23T01:58:55.3302054Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_angle_cpu_float16 PASSED [ 5%] 2022-11-23T01:58:55.3302455Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_angle_cpu_float32 PASSED [ 6%] 2022-11-23T01:58:55.3302844Z 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PASSED [ 10%] 2022-11-23T01:58:55.3325832Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_not_cpu_int32 PASSED [ 10%] 2022-11-23T01:58:55.3326247Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_or_cpu_int32 PASSED [ 10%] 2022-11-23T01:58:55.3326659Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_right_shift_cpu_int32 PASSED [ 10%] 2022-11-23T01:58:55.3327081Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_xor_cpu_bool PASSED [ 10%] 2022-11-23T01:58:55.3327495Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_xor_cpu_int32 PASSED [ 10%] 2022-11-23T01:58:55.3327915Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_xor_cpu_int64 PASSED [ 10%] 2022-11-23T01:58:55.3328317Z 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33%] 2022-11-23T01:58:55.3450034Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hstack_cpu_float16 PASSED [ 33%] 2022-11-23T01:58:55.3450431Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hypot_cpu_float32 PASSED [ 33%] 2022-11-23T01:58:55.3450838Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hypot_cpu_float64 PASSED [ 33%] 2022-11-23T01:58:55.3451240Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_i0_cpu_float64 PASSED [ 33%] 2022-11-23T01:58:55.3451632Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_i0_cpu_int32 PASSED [ 33%] 2022-11-23T01:58:55.3452042Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_igammac_cpu_float64 PASSED [ 33%] 2022-11-23T01:58:55.3452455Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_add_cpu_bool PASSED [ 33%] 2022-11-23T01:58:55.3452903Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_add_cpu_float16 PASSED [ 33%] 2022-11-23T01:58:55.3453307Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_add_cpu_int64 PASSED [ 33%] 2022-11-23T01:58:55.3453720Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_copy_cpu_bool PASSED [ 33%] 2022-11-23T01:58:55.3454137Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_copy_cpu_float32 PASSED [ 33%] 2022-11-23T01:58:55.3454552Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_fill_cpu_bool PASSED [ 34%] 2022-11-23T01:58:55.3454985Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_fill_cpu_float32 PASSED [ 34%] 2022-11-23T01:58:55.3455404Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_fill_cpu_int32 PASSED [ 34%] 2022-11-23T01:58:55.3455821Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_fill_cpu_int64 PASSED [ 34%] 2022-11-23T01:58:55.3456235Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_put_cpu_bool PASSED [ 34%] 2022-11-23T01:58:55.3456635Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_put_cpu_float32 PASSED [ 34%] 2022-11-23T01:58:55.3457048Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_put_cpu_float64 PASSED [ 34%] 2022-11-23T01:58:55.3457464Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_put_cpu_int32 PASSED [ 34%] 2022-11-23T01:58:55.3457885Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_cpu_float32 PASSED [ 34%] 2022-11-23T01:58:55.3458293Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_cpu_int32 PASSED [ 34%] 2022-11-23T01:58:55.3458716Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_cpu_int64 PASSED [ 34%] 2022-11-23T01:58:55.3459292Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_select_cpu_float64 PASSED [ 34%] 2022-11-23T01:58:55.3459709Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_inner_cpu_int64 PASSED [ 34%] 2022-11-23T01:58:55.3460098Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_int_cpu_float32 PASSED [ 35%] 2022-11-23T01:58:55.3460502Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_int_cpu_int64 PASSED [ 35%] 2022-11-23T01:58:55.3460916Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isclose_cpu_float16 PASSED [ 35%] 2022-11-23T01:58:55.3461319Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isclose_cpu_float32 PASSED [ 35%] 2022-11-23T01:58:55.3461737Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isclose_cpu_float64 PASSED [ 35%] 2022-11-23T01:58:55.3462150Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isclose_cpu_int32 PASSED [ 35%] 2022-11-23T01:58:55.3462560Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isclose_cpu_int64 PASSED [ 35%] 2022-11-23T01:58:55.3462958Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_float16 PASSED [ 35%] 2022-11-23T01:58:55.3463370Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_float32 PASSED [ 35%] 2022-11-23T01:58:55.3463787Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_float64 PASSED [ 35%] 2022-11-23T01:58:55.3464195Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isin_cpu_float64 PASSED [ 35%] 2022-11-23T01:58:55.3464676Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isinf_cpu_float16 PASSED [ 35%] 2022-11-23T01:58:55.3465090Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isinf_cpu_float32 PASSED [ 35%] 2022-11-23T01:58:55.3465501Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isinf_cpu_int32 PASSED [ 36%] 2022-11-23T01:58:55.3465910Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isinf_cpu_int64 PASSED [ 36%] 2022-11-23T01:58:55.3466304Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isnan_cpu_float16 PASSED [ 36%] 2022-11-23T01:58:55.3466757Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isnan_cpu_int32 PASSED [ 36%] 2022-11-23T01:58:55.3467169Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isneginf_cpu_int64 PASSED [ 36%] 2022-11-23T01:58:55.3467586Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isposinf_cpu_float32 PASSED [ 36%] 2022-11-23T01:58:55.3467986Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isposinf_cpu_float64 PASSED [ 36%] 2022-11-23T01:58:55.3468396Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isposinf_cpu_int32 PASSED [ 36%] 2022-11-23T01:58:55.3468802Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isposinf_cpu_int64 PASSED [ 36%] 2022-11-23T01:58:55.3469277Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isreal_cpu_float16 PASSED [ 36%] 2022-11-23T01:58:55.3469689Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isreal_cpu_float32 PASSED [ 36%] 2022-11-23T01:58:55.3470099Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isreal_cpu_float64 PASSED [ 36%] 2022-11-23T01:58:55.3470514Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isreal_cpu_int32 PASSED [ 36%] 2022-11-23T01:58:55.3470903Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isreal_cpu_int64 PASSED [ 36%] 2022-11-23T01:58:55.3471353Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_bool SKIPPED (Only runs on cuda) [ 37%] 2022-11-23T01:58:55.3471841Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_float32 SKIPPED (Only runs on cuda) [ 37%] 2022-11-23T01:58:55.3472323Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_int32 SKIPPED (Only runs on cuda) [ 37%] 2022-11-23T01:58:55.3472802Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_float16 SKIPPED (Only runs on cuda) [ 37%] 2022-11-23T01:58:55.3473296Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_float64 SKIPPED (Only runs on cuda) [ 37%] 2022-11-23T01:58:55.3473787Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_int64 SKIPPED (Only runs on cuda) [ 37%] 2022-11-23T01:58:55.3474266Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_cpu_float32 SKIPPED (Only runs on cuda) [ 37%] 2022-11-23T01:58:55.3474731Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_cpu_float64 SKIPPED (Only runs on cuda) [ 37%] 2022-11-23T01:58:55.3475184Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_cpu_int64 SKIPPED (Only runs on cuda) [ 37%] 2022-11-23T01:58:55.3475657Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_float32 SKIPPED (Only runs on cuda) [ 37%] 2022-11-23T01:58:55.3476220Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_float64 SKIPPED (Only runs on cuda) [ 37%] 2022-11-23T01:58:55.3476711Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_int64 SKIPPED (Only runs on cuda) [ 37%] 2022-11-23T01:58:55.3477171Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_bool SKIPPED (Only runs on cuda) [ 37%] 2022-11-23T01:58:55.3477634Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_float32 SKIPPED (Only runs on cuda) [ 38%] 2022-11-23T01:58:55.3478132Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_float64 SKIPPED (Only runs on cuda) [ 38%] 2022-11-23T01:58:55.3478596Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_int32 SKIPPED (Only runs on cuda) [ 38%] 2022-11-23T01:58:55.3479047Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_int64 SKIPPED (Only runs on cuda) [ 38%] 2022-11-23T01:58:55.3479479Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_float16 PASSED [ 38%] 2022-11-23T01:58:55.3479890Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_float32 PASSED [ 38%] 2022-11-23T01:58:55.3480294Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_float64 PASSED [ 38%] 2022-11-23T01:58:55.3480691Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kthvalue_cpu_int64 PASSED [ 38%] 2022-11-23T01:58:55.3481104Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ldexp_cpu_bool PASSED [ 38%] 2022-11-23T01:58:55.3481514Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ldexp_cpu_float32 PASSED [ 38%] 2022-11-23T01:58:55.3481922Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ldexp_cpu_int32 PASSED [ 38%] 2022-11-23T01:58:55.3482316Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_float32 PASSED [ 38%] 2022-11-23T01:58:55.3482721Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lerp_cpu_float64 PASSED [ 38%] 2022-11-23T01:58:55.3483129Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lgamma_cpu_bool PASSED [ 39%] 2022-11-23T01:58:55.3483539Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cond_cpu_float32 PASSED [ 39%] 2022-11-23T01:58:55.3483952Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cond_cpu_float64 PASSED [ 39%] 2022-11-23T01:58:55.3484368Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cross_cpu_int64 PASSED [ 39%] 2022-11-23T01:58:55.3484787Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_det_cpu_float64 PASSED [ 39%] 2022-11-23T01:58:55.3485198Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eigh_cpu_float64 PASSED [ 39%] 2022-11-23T01:58:55.3485607Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eigvals_cpu_float32 PASSED [ 39%] 2022-11-23T01:58:55.3486042Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_householder_product_cpu_float32 PASSED [ 39%] 2022-11-23T01:58:55.3486493Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_householder_product_cpu_float64 PASSED [ 39%] 2022-11-23T01:58:55.3486925Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_inv_cpu_float32 PASSED [ 39%] 2022-11-23T01:58:55.3487327Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_inv_cpu_float64 PASSED [ 39%] 2022-11-23T01:58:55.3487774Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_inv_ex_cpu_float32 PASSED [ 39%] 2022-11-23T01:58:55.3488203Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_factor_ex_cpu_float32 PASSED [ 39%] 2022-11-23T01:58:55.3488623Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_factor_ex_cpu_float64 PASSED [ 40%] 2022-11-23T01:58:55.3489106Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_solve_cpu_float32 SKIPPED (linalg.ldl_solve in torch.float32 not supported) [ 40%] 2022-11-23T01:58:55.3489671Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_solve_cpu_float64 SKIPPED (linalg.ldl_solve in torch.float64 not supported) [ 40%] 2022-11-23T01:58:55.3490144Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lstsq_cpu_float64 PASSED [ 40%] 2022-11-23T01:58:55.3490586Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lstsq_grad_oriented_cpu_float64 PASSED [ 40%] 2022-11-23T01:58:55.3491010Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_factor_cpu_float32 PASSED [ 40%] 2022-11-23T01:58:55.3491440Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_factor_ex_cpu_float32 PASSED [ 40%] 2022-11-23T01:58:55.3491871Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_factor_ex_cpu_float64 PASSED [ 40%] 2022-11-23T01:58:55.3492305Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_solve_cpu_float32 PASSED [ 40%] 2022-11-23T01:58:55.3492721Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_norm_cpu_float16 PASSED [ 40%] 2022-11-23T01:58:55.3493153Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_norm_cpu_float64 PASSED [ 40%] 2022-11-23T01:58:55.3493584Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_power_cpu_float64 PASSED [ 40%] 2022-11-23T01:58:55.3494017Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_rank_cpu_float64 PASSED [ 40%] 2022-11-23T01:58:55.3494431Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_norm_cpu_float16 PASSED [ 41%] 2022-11-23T01:58:55.3494877Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_norm_subgradients_at_zero_cpu_float64 PASSED [ 41%] 2022-11-23T01:58:55.3495324Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_pinv_cpu_float32 PASSED [ 41%] 2022-11-23T01:58:55.3495755Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_pinv_hermitian_cpu_float64 PASSED [ 41%] 2022-11-23T01:58:55.3496248Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_pinv_singular_cpu_float32 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 41%] 2022-11-23T01:58:55.3496797Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_pinv_singular_cpu_float64 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 41%] 2022-11-23T01:58:55.3497280Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_qr_cpu_float32 PASSED [ 41%] 2022-11-23T01:58:55.3497704Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_cpu_float64 PASSED [ 41%] 2022-11-23T01:58:55.3498121Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_ex_cpu_float32 PASSED [ 41%] 2022-11-23T01:58:55.3498547Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_ex_cpu_float64 PASSED [ 41%] 2022-11-23T01:58:55.3499251Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_triangular_cpu_float32 PASSED [ 41%] 2022-11-23T01:58:55.3499687Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_svd_cpu_float64 PASSED [ 41%] 2022-11-23T01:58:55.3500096Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_svdvals_cpu_float32 PASSED [ 41%] 2022-11-23T01:58:55.3500522Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_svdvals_cpu_float64 PASSED [ 42%] 2022-11-23T01:58:55.3500953Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_tensorinv_cpu_float32 PASSED [ 42%] 2022-11-23T01:58:55.3501447Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_tensorsolve_cpu_float64 PASSED [ 42%] 2022-11-23T01:58:55.3501867Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vander_cpu_float64 PASSED [ 42%] 2022-11-23T01:58:55.3502290Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vander_cpu_int64 PASSED [ 42%] 2022-11-23T01:58:55.3502708Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linspace_cpu_float16 PASSED [ 42%] 2022-11-23T01:58:55.3503125Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linspace_cpu_float32 PASSED [ 42%] 2022-11-23T01:58:55.3503527Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linspace_cpu_float64 PASSED [ 42%] 2022-11-23T01:58:55.3503939Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linspace_cpu_int32 PASSED [ 42%] 2022-11-23T01:58:55.3504346Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linspace_cpu_int64 PASSED [ 42%] 2022-11-23T01:58:55.3504744Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log10_cpu_bool PASSED [ 42%] 2022-11-23T01:58:55.3505149Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log10_cpu_float64 PASSED [ 42%] 2022-11-23T01:58:55.3505551Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log1p_cpu_bool PASSED [ 42%] 2022-11-23T01:58:55.3505955Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log1p_cpu_float64 PASSED [ 43%] 2022-11-23T01:58:55.3506346Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log2_cpu_float64 PASSED [ 43%] 2022-11-23T01:58:55.3506749Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_cpu_bool PASSED [ 43%] 2022-11-23T01:58:55.3507157Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_cpu_float32 PASSED [ 43%] 2022-11-23T01:58:55.3507558Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_cpu_float64 PASSED [ 43%] 2022-11-23T01:58:55.3507945Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_cpu_int32 PASSED [ 43%] 2022-11-23T01:58:55.3508345Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_cpu_int64 PASSED [ 43%] 2022-11-23T01:58:55.3508750Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_cpu_float64 PASSED [ 43%] 2022-11-23T01:58:55.3509260Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_with_dtype_cpu_float16 PASSED [ 43%] 2022-11-23T01:58:55.3509695Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_with_dtype_cpu_float64 PASSED [ 43%] 2022-11-23T01:58:55.3510137Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logaddexp2_cpu_float64 PASSED [ 43%] 2022-11-23T01:58:55.3510559Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logaddexp_cpu_float64 PASSED [ 43%] 2022-11-23T01:58:55.3511013Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logdet_cpu_float32 PASSED [ 43%] 2022-11-23T01:58:55.3511412Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logdet_cpu_float64 PASSED [ 44%] 2022-11-23T01:58:55.3511828Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_and_cpu_bool PASSED [ 44%] 2022-11-23T01:58:55.3512256Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_and_cpu_float16 PASSED [ 44%] 2022-11-23T01:58:55.3512678Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_and_cpu_float32 PASSED [ 44%] 2022-11-23T01:58:55.3513117Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_and_cpu_int64 PASSED [ 44%] 2022-11-23T01:58:55.3513536Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_not_cpu_float64 PASSED [ 44%] 2022-11-23T01:58:55.3513952Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_not_cpu_int64 PASSED [ 44%] 2022-11-23T01:58:55.3514356Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_or_cpu_float32 PASSED [ 44%] 2022-11-23T01:58:55.3514777Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_or_cpu_float64 PASSED [ 44%] 2022-11-23T01:58:55.3515198Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_xor_cpu_float16 PASSED [ 44%] 2022-11-23T01:58:55.3515609Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logit_cpu_bool PASSED [ 44%] 2022-11-23T01:58:55.3516005Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logit_cpu_int64 PASSED [ 44%] 2022-11-23T01:58:55.3516419Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logspace_cpu_float32 PASSED [ 44%] 2022-11-23T01:58:55.3516844Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logsumexp_cpu_float32 PASSED [ 45%] 2022-11-23T01:58:55.3517267Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logsumexp_cpu_float64 PASSED [ 45%] 2022-11-23T01:58:55.3517665Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_long_cpu_bool PASSED [ 45%] 2022-11-23T01:58:55.3518071Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_long_cpu_float16 PASSED [ 45%] 2022-11-23T01:58:55.3518474Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_long_cpu_float64 PASSED [ 45%] 2022-11-23T01:58:55.3518880Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lt_cpu_float16 PASSED [ 45%] 2022-11-23T01:58:55.3519269Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lt_cpu_int32 PASSED [ 45%] 2022-11-23T01:58:55.3519668Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lu_cpu_float32 PASSED [ 45%] 2022-11-23T01:58:55.3520078Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lu_solve_cpu_float32 PASSED [ 45%] 2022-11-23T01:58:55.3520495Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lu_unpack_cpu_float32 PASSED [ 45%] 2022-11-23T01:58:55.3520902Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lu_unpack_cpu_float64 PASSED [ 45%] 2022-11-23T01:58:55.3521309Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mH_cpu_float32 PASSED [ 45%] 2022-11-23T01:58:55.3521711Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mH_cpu_float64 PASSED [ 45%] 2022-11-23T01:58:55.3522099Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mH_cpu_int32 PASSED [ 45%] 2022-11-23T01:58:55.3522525Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mH_cpu_int64 PASSED [ 46%] 2022-11-23T01:58:55.3522923Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mT_cpu_float16 PASSED [ 46%] 2022-11-23T01:58:55.3523332Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amax_cpu_float16 PASSED [ 46%] 2022-11-23T01:58:55.3523739Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amax_cpu_float32 PASSED [ 46%] 2022-11-23T01:58:55.3524153Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amin_cpu_float16 PASSED [ 46%] 2022-11-23T01:58:55.3524599Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amin_cpu_float32 PASSED [ 46%] 2022-11-23T01:58:55.3525020Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmax_cpu_float16 PASSED [ 46%] 2022-11-23T01:58:55.3525433Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmax_cpu_float32 PASSED [ 46%] 2022-11-23T01:58:55.3525854Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmin_cpu_float32 PASSED [ 46%] 2022-11-23T01:58:55.3526274Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmin_cpu_int32 PASSED [ 46%] 2022-11-23T01:58:55.3526688Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmin_cpu_int64 PASSED [ 46%] 2022-11-23T01:58:55.3527091Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumprod_cpu_int32 PASSED [ 46%] 2022-11-23T01:58:55.3527513Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumsum_cpu_float32 PASSED [ 46%] 2022-11-23T01:58:55.3527932Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumsum_cpu_int32 PASSED [ 47%] 2022-11-23T01:58:55.3528351Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_fill_cpu_bool PASSED [ 47%] 2022-11-23T01:58:55.3528755Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_fill_cpu_float16 PASSED [ 47%] 2022-11-23T01:58:55.3529169Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_fill_cpu_float64 PASSED [ 47%] 2022-11-23T01:58:55.3529585Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_fill_cpu_int32 PASSED [ 47%] 2022-11-23T01:58:55.3530007Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_log_softmax_cpu_float32 PASSED [ 47%] 2022-11-23T01:58:55.3530432Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_logaddexp_cpu_float64 PASSED [ 47%] 2022-11-23T01:58:55.3530864Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_logsumexp_cpu_float32 PASSED [ 47%] 2022-11-23T01:58:55.3531293Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_logsumexp_cpu_float64 PASSED [ 47%] 2022-11-23T01:58:55.3531713Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_logsumexp_cpu_int32 PASSED [ 47%] 2022-11-23T01:58:55.3532121Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_logsumexp_cpu_int64 PASSED [ 47%] 2022-11-23T01:58:55.3532538Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_mean_cpu_bool PASSED [ 47%] 2022-11-23T01:58:55.3532956Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_mean_cpu_float32 PASSED [ 47%] 2022-11-23T01:58:55.3533383Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_median_cpu_float64 PASSED [ 48%] 2022-11-23T01:58:55.3533786Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_norm_cpu_float16 PASSED [ 48%] 2022-11-23T01:58:55.3534236Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_norm_cpu_float32 PASSED [ 48%] 2022-11-23T01:58:55.3534649Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_norm_cpu_float64 PASSED [ 48%] 2022-11-23T01:58:55.3535072Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_normalize_cpu_float32 PASSED [ 48%] 2022-11-23T01:58:55.3535483Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_prod_cpu_float64 PASSED [ 48%] 2022-11-23T01:58:55.3535899Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_prod_cpu_int32 PASSED [ 48%] 2022-11-23T01:58:55.3536345Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_prod_cpu_int64 PASSED [ 48%] 2022-11-23T01:58:55.3536751Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_scatter_cpu_float64 PASSED [ 48%] 2022-11-23T01:58:55.3537177Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_scatter_cpu_int64 PASSED [ 48%] 2022-11-23T01:58:55.3537595Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_select_cpu_int32 PASSED [ 48%] 2022-11-23T01:58:55.3538011Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_select_cpu_int64 PASSED [ 48%] 2022-11-23T01:58:55.3538419Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_softmin_cpu_float64 PASSED [ 48%] 2022-11-23T01:58:55.3538972Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_std_cpu_int64 PASSED [ 49%] 2022-11-23T01:58:55.3539400Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_sum_cpu_bool PASSED [ 49%] 2022-11-23T01:58:55.3539824Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_sum_cpu_float16 PASSED [ 49%] 2022-11-23T01:58:55.3540229Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_sum_cpu_float32 PASSED [ 49%] 2022-11-23T01:58:55.3540648Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_sum_cpu_float64 PASSED [ 49%] 2022-11-23T01:58:55.3541059Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_sum_cpu_int32 PASSED [ 49%] 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inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_local_response_norm_cpu_float32 PASSED [ 63%] 2022-11-23T01:58:55.3621119Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_local_response_norm_cpu_float64 PASSED [ 63%] 2022-11-23T01:58:55.3621566Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_local_response_norm_cpu_int64 PASSED [ 63%] 2022-11-23T01:58:55.3622029Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_margin_ranking_loss_cpu_float64 PASSED [ 63%] 2022-11-23T01:58:55.3622489Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_margin_ranking_loss_cpu_int32 PASSED [ 63%] 2022-11-23T01:58:55.3622944Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_margin_ranking_loss_cpu_int64 PASSED [ 63%] 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inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_multi_margin_loss_cpu_float32 PASSED [ 64%] 2022-11-23T01:58:55.3629366Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_multilabel_margin_loss_cpu_float32 PASSED [ 64%] 2022-11-23T01:58:55.3629829Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_normalize_cpu_float32 PASSED [ 64%] 2022-11-23T01:58:55.3630274Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_normalize_cpu_float64 PASSED [ 64%] 2022-11-23T01:58:55.3630707Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_circular_cpu_bool PASSED [ 64%] 2022-11-23T01:58:55.3631151Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_circular_cpu_float64 PASSED [ 65%] 2022-11-23T01:58:55.3631601Z 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inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_poisson_nll_loss_cpu_int64 PASSED [ 66%] 2022-11-23T01:58:55.3640154Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_prelu_cpu_float32 PASSED [ 66%] 2022-11-23T01:58:55.3640589Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_prelu_cpu_float64 PASSED [ 66%] 2022-11-23T01:58:55.3641024Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_relu6_cpu_float32 PASSED [ 66%] 2022-11-23T01:58:55.3641446Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_relu6_cpu_int64 PASSED [ 66%] 2022-11-23T01:58:55.3641881Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_relu_cpu_float64 PASSED [ 66%] 2022-11-23T01:58:55.3642312Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_relu_cpu_int64 PASSED [ 66%] 2022-11-23T01:58:55.3642745Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_rrelu_cpu_float32 PASSED [ 67%] 2022-11-23T01:58:55.3643169Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_selu_cpu_float32 PASSED [ 67%] 2022-11-23T01:58:55.3643608Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_selu_cpu_float64 PASSED [ 67%] 2022-11-23T01:58:55.3644042Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_silu_cpu_float32 PASSED [ 67%] 2022-11-23T01:58:55.3644486Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_soft_margin_loss_cpu_float32 PASSED [ 67%] 2022-11-23T01:58:55.3644929Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_soft_margin_loss_cpu_float64 PASSED [ 67%] 2022-11-23T01:58:55.3645382Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softmin_cpu_float32 PASSED [ 67%] 2022-11-23T01:58:55.3645823Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softmin_cpu_float64 PASSED [ 67%] 2022-11-23T01:58:55.3646266Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softshrink_cpu_float32 PASSED [ 67%] 2022-11-23T01:58:55.3646701Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softshrink_cpu_float64 PASSED [ 67%] 2022-11-23T01:58:55.3647145Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softsign_cpu_float32 PASSED [ 67%] 2022-11-23T01:58:55.3647587Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softsign_cpu_int32 PASSED [ 67%] 2022-11-23T01:58:55.3648023Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softsign_cpu_int64 PASSED [ 67%] 2022-11-23T01:58:55.3648456Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_tanhshrink_cpu_float32 PASSED [ 68%] 2022-11-23T01:58:55.3648901Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_tanhshrink_cpu_int32 PASSED [ 68%] 2022-11-23T01:58:55.3649379Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_threshold_cpu_float32 PASSED [ 68%] 2022-11-23T01:58:55.3649822Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_threshold_cpu_float64 PASSED [ 68%] 2022-11-23T01:58:55.3650268Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_triplet_margin_loss_cpu_float64 PASSED [ 68%] 2022-11-23T01:58:55.3650726Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_triplet_margin_loss_cpu_int64 PASSED [ 68%] 2022-11-23T01:58:55.3651203Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cpu_float32 PASSED [ 68%] 2022-11-23T01:58:55.3651722Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cpu_int32 PASSED [ 68%] 2022-11-23T01:58:55.3652206Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cpu_int64 PASSED [ 68%] 2022-11-23T01:58:55.3652665Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_upsample_nearest_cpu_float64 PASSED [ 68%] 2022-11-23T01:58:55.3653101Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nonzero_cpu_bool PASSED [ 68%] 2022-11-23T01:58:55.3653510Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nonzero_cpu_int64 PASSED [ 68%] 2022-11-23T01:58:55.3653899Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_cpu_float16 PASSED [ 68%] 2022-11-23T01:58:55.3654302Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_cpu_float32 PASSED [ 69%] 2022-11-23T01:58:55.3654696Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_cpu_float64 PASSED [ 69%] 2022-11-23T01:58:55.3655107Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_fro_cpu_float32 PASSED [ 69%] 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70%] 2022-11-23T01:58:55.3661374Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polar_cpu_float64 PASSED [ 70%] 2022-11-23T01:58:55.3661798Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_0_cpu_bool PASSED [ 70%] 2022-11-23T01:58:55.3662226Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_0_cpu_int32 PASSED [ 70%] 2022-11-23T01:58:55.3662658Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_0_cpu_int64 PASSED [ 70%] 2022-11-23T01:58:55.3663156Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_1_cpu_float64 PASSED [ 70%] 2022-11-23T01:58:55.3663593Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_2_cpu_bool PASSED [ 70%] 2022-11-23T01:58:55.3664022Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_2_cpu_float32 PASSED [ 70%] 2022-11-23T01:58:55.3664469Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_2_cpu_float64 PASSED [ 70%] 2022-11-23T01:58:55.3664908Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_2_cpu_int32 PASSED [ 70%] 2022-11-23T01:58:55.3665352Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_3_cpu_float32 PASSED [ 71%] 2022-11-23T01:58:55.3665781Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_3_cpu_float64 PASSED [ 71%] 2022-11-23T01:58:55.3666223Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_3_cpu_int32 PASSED [ 71%] 2022-11-23T01:58:55.3666661Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_4_cpu_float32 PASSED [ 71%] 2022-11-23T01:58:55.3667098Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_4_cpu_float64 PASSED [ 71%] 2022-11-23T01:58:55.3667516Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_positive_cpu_float32 PASSED [ 71%] 2022-11-23T01:58:55.3667933Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_positive_cpu_float64 PASSED [ 71%] 2022-11-23T01:58:55.3668343Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_positive_cpu_int64 PASSED [ 71%] 2022-11-23T01:58:55.3668738Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_pow_cpu_float16 PASSED [ 71%] 2022-11-23T01:58:55.3669219Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_pow_cpu_float64 PASSED [ 71%] 2022-11-23T01:58:55.3669633Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_pow_cpu_int32 PASSED [ 71%] 2022-11-23T01:58:55.3670035Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_pow_cpu_int64 PASSED [ 71%] 2022-11-23T01:58:55.3670422Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_prod_cpu_float32 PASSED [ 71%] 2022-11-23T01:58:55.3670828Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_prod_cpu_int32 PASSED [ 72%] 2022-11-23T01:58:55.3671232Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_put_cpu_float64 PASSED [ 72%] 2022-11-23T01:58:55.3671636Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_put_cpu_int32 PASSED [ 72%] 2022-11-23T01:58:55.3672028Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_put_cpu_int64 PASSED [ 72%] 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inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randn_like_cpu_float16 PASSED [ 73%] 2022-11-23T01:58:55.3678245Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randn_like_cpu_float32 PASSED [ 73%] 2022-11-23T01:58:55.3678661Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randn_like_cpu_float64 PASSED [ 73%] 2022-11-23T01:58:55.3679069Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ravel_cpu_bool PASSED [ 73%] 2022-11-23T01:58:55.3679472Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ravel_cpu_float16 PASSED [ 73%] 2022-11-23T01:58:55.3679866Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ravel_cpu_int32 PASSED [ 73%] 2022-11-23T01:58:55.3680270Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_real_cpu_bool PASSED [ 73%] 2022-11-23T01:58:55.3680676Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_real_cpu_int64 PASSED [ 73%] 2022-11-23T01:58:55.3681087Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reciprocal_cpu_bool PASSED [ 73%] 2022-11-23T01:58:55.3681494Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reciprocal_cpu_float16 PASSED [ 73%] 2022-11-23T01:58:55.3681913Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reciprocal_cpu_float32 PASSED [ 74%] 2022-11-23T01:58:55.3682330Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_remainder_cpu_float32 PASSED [ 74%] 2022-11-23T01:58:55.3682748Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_remainder_cpu_float64 PASSED [ 74%] 2022-11-23T01:58:55.3683151Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_remainder_cpu_int32 PASSED [ 74%] 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inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_cpu_int64 PASSED [ 75%] 2022-11-23T01:58:55.3689337Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize__cpu_float16 PASSED [ 75%] 2022-11-23T01:58:55.3689746Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize__cpu_float32 PASSED [ 75%] 2022-11-23T01:58:55.3690153Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize__cpu_int64 PASSED [ 75%] 2022-11-23T01:58:55.3690559Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize_as__cpu_bool PASSED [ 75%] 2022-11-23T01:58:55.3690960Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize_as__cpu_float16 PASSED [ 75%] 2022-11-23T01:58:55.3691370Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize_as__cpu_int64 PASSED [ 75%] 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inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scalar_tensor_cpu_int32 PASSED [ 77%] 2022-11-23T01:58:55.3701147Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scalar_tensor_cpu_int64 PASSED [ 77%] 2022-11-23T01:58:55.3701475Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_add_cpu_bool [W TensorAdvancedIndexing.cpp:1681] Warning: scatter_reduce() is in beta and the API may change at any time. (function operator()) 2022-11-23T01:58:55.3701552Z PASSED [ 78%] 2022-11-23T01:58:55.3701755Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_add_cpu_int64 PASSED [ 78%] 2022-11-23T01:58:55.3701957Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_cpu_float64 PASSED [ 78%] 2022-11-23T01:58:55.3702169Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amax_cpu_float32 PASSED [ 78%] 2022-11-23T01:58:55.3702379Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amax_cpu_int64 PASSED [ 78%] 2022-11-23T01:58:55.3702576Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amin_cpu_float32 PASSED [ 78%] 2022-11-23T01:58:55.3702783Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amin_cpu_float64 PASSED [ 78%] 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inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_prod_cpu_int32 PASSED [ 79%] 2022-11-23T01:58:55.3704522Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_prod_cpu_int64 PASSED [ 79%] 2022-11-23T01:58:55.3704720Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_sum_cpu_float16 PASSED [ 79%] 2022-11-23T01:58:55.3704924Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_searchsorted_cpu_int64 PASSED [ 79%] 2022-11-23T01:58:55.3705139Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_segment_reduce_lengths_cpu_float16 PASSED [ 79%] 2022-11-23T01:58:55.3705351Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_segment_reduce_offsets_cpu_float32 PASSED [ 79%] 2022-11-23T01:58:55.3705550Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_cpu_bool PASSED [ 79%] 2022-11-23T01:58:55.3705750Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_cpu_float16 PASSED [ 79%] 2022-11-23T01:58:55.3705945Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_cpu_float32 PASSED [ 79%] 2022-11-23T01:58:55.3706138Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_cpu_float64 PASSED [ 79%] 2022-11-23T01:58:55.3706343Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_scatter_cpu_bool PASSED [ 79%] 2022-11-23T01:58:55.3706538Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sgn_cpu_float16 PASSED [ 79%] 2022-11-23T01:58:55.3706717Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sgn_cpu_float32 PASSED [ 79%] 2022-11-23T01:58:55.3706905Z 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inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signbit_cpu_int32 PASSED [ 81%] 2022-11-23T01:58:55.3709866Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sin_cpu_float32 PASSED [ 81%] 2022-11-23T01:58:55.3710097Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sin_cpu_int64 PASSED [ 81%] 2022-11-23T01:58:55.3710293Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinc_cpu_bool PASSED [ 81%] 2022-11-23T01:58:55.3710493Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinc_cpu_float64 PASSED [ 81%] 2022-11-23T01:58:55.3710674Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinh_cpu_bool PASSED [ 81%] 2022-11-23T01:58:55.3710872Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinh_cpu_float32 PASSED [ 81%] 2022-11-23T01:58:55.3711069Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_cpu_bool PASSED [ 81%] 2022-11-23T01:58:55.3711266Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_cpu_float16 PASSED [ 81%] 2022-11-23T01:58:55.3711460Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_cpu_float64 PASSED [ 81%] 2022-11-23T01:58:55.3711671Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_scatter_cpu_bool PASSED [ 81%] 2022-11-23T01:58:55.3711878Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_scatter_cpu_float16 PASSED [ 81%] 2022-11-23T01:58:55.3712084Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_scatter_cpu_float32 PASSED [ 81%] 2022-11-23T01:58:55.3712288Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_scatter_cpu_int32 PASSED [ 81%] 2022-11-23T01:58:55.3712473Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_softmax_cpu_float32 PASSED [ 82%] 2022-11-23T01:58:55.3712672Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_softmax_cpu_float64 PASSED [ 82%] 2022-11-23T01:58:55.3712884Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_softmax_with_dtype_cpu_float64 PASSED [ 82%] 2022-11-23T01:58:55.3713097Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_softmax_with_dtype_cpu_int32 PASSED [ 82%] 2022-11-23T01:58:55.3713304Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_softmax_with_dtype_cpu_int64 PASSED [ 82%] 2022-11-23T01:58:55.3728907Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sort_cpu_bool PASSED [ 82%] 2022-11-23T01:58:55.3729174Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sort_cpu_float64 PASSED [ 82%] 2022-11-23T01:58:55.3729376Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sort_cpu_int32 PASSED [ 82%] 2022-11-23T01:58:55.3729597Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sparse_sampled_addmm_cpu_float64 PASSED [ 82%] 2022-11-23T01:58:55.3729807Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_airy_ai_cpu_float64 PASSED [ 82%] 2022-11-23T01:58:55.3730035Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j1_cpu_float64 PASSED [ 82%] 2022-11-23T01:58:55.3730356Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j1_cpu_int64 PASSED [ 82%] 2022-11-23T01:58:55.3730569Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y0_cpu_float32 PASSED [ 82%] 2022-11-23T01:58:55.3730769Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y1_cpu_int32 PASSED [ 83%] 2022-11-23T01:58:55.3730997Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_t_cpu_bool PASSED [ 83%] 2022-11-23T01:58:55.3731222Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_t_cpu_float32 PASSED [ 83%] 2022-11-23T01:58:55.3731491Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_t_cpu_float64 PASSED [ 83%] 2022-11-23T01:58:55.3731716Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_t_cpu_int32 PASSED [ 83%] 2022-11-23T01:58:55.3731944Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_u_cpu_float64 PASSED [ 83%] 2022-11-23T01:58:55.3732169Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_u_cpu_int64 PASSED [ 83%] 2022-11-23T01:58:55.3732710Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_v_cpu_bool SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 83%] 2022-11-23T01:58:55.3733146Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_v_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 83%] 2022-11-23T01:58:55.3733571Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_v_cpu_int32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 83%] 2022-11-23T01:58:55.3733984Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_w_cpu_int32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 83%] 2022-11-23T01:58:55.3734195Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_entr_cpu_bool PASSED [ 83%] 2022-11-23T01:58:55.3734389Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_entr_cpu_float64 PASSED [ 83%] 2022-11-23T01:58:55.3734593Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_entr_cpu_int32 PASSED [ 84%] 2022-11-23T01:58:55.3734796Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_erfcx_cpu_bool PASSED [ 84%] 2022-11-23T01:58:55.3735003Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_erfcx_cpu_float64 PASSED [ 84%] 2022-11-23T01:58:55.3735209Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_erfcx_cpu_int32 PASSED [ 84%] 2022-11-23T01:58:55.3735414Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_erfcx_cpu_int64 PASSED [ 84%] 2022-11-23T01:58:55.3735635Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_hermite_polynomial_h_cpu_bool PASSED [ 84%] 2022-11-23T01:58:55.3735860Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_hermite_polynomial_h_cpu_float32 PASSED [ 84%] 2022-11-23T01:58:55.3736080Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_hermite_polynomial_h_cpu_int32 PASSED [ 84%] 2022-11-23T01:58:55.3736306Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_hermite_polynomial_he_cpu_float64 PASSED [ 84%] 2022-11-23T01:58:55.3736499Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i0e_cpu_float32 PASSED [ 84%] 2022-11-23T01:58:55.3736756Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i0e_cpu_int64 PASSED [ 84%] 2022-11-23T01:58:55.3736959Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1_cpu_bool PASSED [ 84%] 2022-11-23T01:58:55.3737159Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1e_cpu_bool PASSED [ 84%] 2022-11-23T01:58:55.3737364Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1e_cpu_float32 PASSED [ 85%] 2022-11-23T01:58:55.3737563Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1e_cpu_int32 PASSED [ 85%] 2022-11-23T01:58:55.3737823Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_laguerre_polynomial_l_cpu_float32 PASSED [ 85%] 2022-11-23T01:58:55.3738051Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_laguerre_polynomial_l_cpu_float64 PASSED [ 85%] 2022-11-23T01:58:55.3738274Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_laguerre_polynomial_l_cpu_int64 PASSED [ 85%] 2022-11-23T01:58:55.3738701Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_legendre_polynomial_p_cpu_float32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 85%] 2022-11-23T01:58:55.3739241Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_legendre_polynomial_p_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 85%] 2022-11-23T01:58:55.3739456Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_log_ndtr_cpu_bool PASSED [ 85%] 2022-11-23T01:58:55.3739673Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i0_cpu_bool PASSED [ 85%] 2022-11-23T01:58:55.3739894Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i0_cpu_float32 PASSED [ 85%] 2022-11-23T01:58:55.3740111Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i0_cpu_int64 PASSED [ 85%] 2022-11-23T01:58:55.3740324Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i1_cpu_float32 PASSED [ 85%] 2022-11-23T01:58:55.3740541Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i1_cpu_int32 PASSED [ 85%] 2022-11-23T01:58:55.3740758Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k0_cpu_bool PASSED [ 86%] 2022-11-23T01:58:55.3740976Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k1_cpu_float32 PASSED [ 86%] 2022-11-23T01:58:55.3741190Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k1_cpu_float64 PASSED [ 86%] 2022-11-23T01:58:55.3741412Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k1_cpu_int64 PASSED [ 86%] 2022-11-23T01:58:55.3741605Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtr_cpu_bool PASSED [ 86%] 2022-11-23T01:58:55.3741812Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtri_cpu_float32 PASSED [ 86%] 2022-11-23T01:58:55.3742016Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtri_cpu_int32 PASSED [ 86%] 2022-11-23T01:58:55.3742219Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtri_cpu_int64 PASSED [ 86%] 2022-11-23T01:58:55.3742453Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_bool PASSED [ 86%] 2022-11-23T01:58:55.3742746Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_float32 PASSED [ 86%] 2022-11-23T01:58:55.3742982Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_int64 PASSED [ 86%] 2022-11-23T01:58:55.3743208Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k0_cpu_float64 PASSED [ 86%] 2022-11-23T01:58:55.3743431Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k0_cpu_int64 PASSED [ 86%] 2022-11-23T01:58:55.3743692Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k1_cpu_int64 PASSED [ 87%] 2022-11-23T01:58:55.3744121Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_t_cpu_float32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 87%] 2022-11-23T01:58:55.3744560Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_t_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 87%] 2022-11-23T01:58:55.3744991Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_t_cpu_int32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 87%] 2022-11-23T01:58:55.3745422Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_bool SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 87%] 2022-11-23T01:58:55.3745855Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_float32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 87%] 2022-11-23T01:58:55.3746289Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 87%] 2022-11-23T01:58:55.3746722Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_int32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 87%] 2022-11-23T01:58:55.3747152Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_u_cpu_int64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 87%] 2022-11-23T01:58:55.3747590Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_bool SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 87%] 2022-11-23T01:58:55.3748022Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 87%] 2022-11-23T01:58:55.3748450Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_int64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 87%] 2022-11-23T01:58:55.3748875Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 87%] 2022-11-23T01:58:55.3749381Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_int64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 88%] 2022-11-23T01:58:55.3749608Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_spherical_bessel_j0_cpu_bool PASSED [ 88%] 2022-11-23T01:58:55.3749866Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_spherical_bessel_j0_cpu_float32 PASSED [ 88%] 2022-11-23T01:58:55.3750077Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_spherical_bessel_j0_cpu_int64 PASSED [ 88%] 2022-11-23T01:58:55.3750287Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_xlog1py_cpu_bool PASSED [ 88%] 2022-11-23T01:58:55.3750495Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_xlog1py_cpu_float16 PASSED [ 88%] 2022-11-23T01:58:55.3750704Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_xlog1py_cpu_float32 PASSED [ 88%] 2022-11-23T01:58:55.3750947Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_xlog1py_cpu_float64 PASSED [ 88%] 2022-11-23T01:58:55.3751153Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_xlog1py_cpu_int32 PASSED [ 88%] 2022-11-23T01:58:55.3751357Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_zeta_cpu_int64 PASSED [ 88%] 2022-11-23T01:58:55.3751553Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_cpu_bool PASSED [ 88%] 2022-11-23T01:58:55.3751752Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_cpu_float32 PASSED [ 88%] 2022-11-23T01:58:55.3751950Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_cpu_int64 PASSED [ 88%] 2022-11-23T01:58:55.3752144Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_list_args_cpu_float16 PASSED [ 89%] 2022-11-23T01:58:55.3752353Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_list_args_cpu_float32 PASSED [ 89%] 2022-11-23T01:58:55.3752560Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_list_args_cpu_int32 PASSED [ 89%] 2022-11-23T01:58:55.3752766Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_with_sizes_cpu_bool PASSED [ 89%] 2022-11-23T01:58:55.3752969Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_with_sizes_cpu_int64 PASSED [ 89%] 2022-11-23T01:58:55.3753166Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sqrt_cpu_bool PASSED [ 89%] 2022-11-23T01:58:55.3753365Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sqrt_cpu_float32 PASSED [ 89%] 2022-11-23T01:58:55.3753563Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_square_cpu_bool PASSED [ 89%] 2022-11-23T01:58:55.3753763Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_square_cpu_float32 PASSED [ 89%] 2022-11-23T01:58:55.3753948Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_square_cpu_float64 PASSED [ 89%] 2022-11-23T01:58:55.3754145Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_square_cpu_int32 PASSED [ 89%] 2022-11-23T01:58:55.3754339Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_square_cpu_int64 PASSED [ 89%] 2022-11-23T01:58:55.3754533Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_squeeze_cpu_bool PASSED [ 89%] 2022-11-23T01:58:55.3754737Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_squeeze_cpu_float16 PASSED [ 90%] 2022-11-23T01:58:55.3754933Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_squeeze_cpu_float32 PASSED [ 90%] 2022-11-23T01:58:55.3755133Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_squeeze_cpu_int64 PASSED [ 90%] 2022-11-23T01:58:55.3755330Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stack_cpu_float64 PASSED [ 90%] 2022-11-23T01:58:55.3755557Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stack_cpu_int32 PASSED [ 90%] 2022-11-23T01:58:55.3755755Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stack_cpu_int64 PASSED [ 90%] 2022-11-23T01:58:55.3755937Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stft_cpu_float32 PASSED [ 90%] 2022-11-23T01:58:55.3756130Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stft_cpu_float64 PASSED [ 90%] 2022-11-23T01:58:55.3756322Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sub_cpu_int64 PASSED [ 90%] 2022-11-23T01:58:55.3756556Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_cpu_bool PASSED [ 90%] 2022-11-23T01:58:55.3756749Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_cpu_float16 PASSED [ 90%] 2022-11-23T01:58:55.3756946Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_cpu_float64 PASSED [ 90%] 2022-11-23T01:58:55.3757139Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_cpu_int64 PASSED [ 90%] 2022-11-23T01:58:55.3757336Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_to_size_cpu_bool PASSED [ 90%] 2022-11-23T01:58:55.3757532Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_to_size_cpu_float32 PASSED [ 91%] 2022-11-23T01:58:55.3757732Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_to_size_cpu_float64 PASSED [ 91%] 2022-11-23T01:58:55.3757924Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_svd_cpu_float32 PASSED [ 91%] 2022-11-23T01:58:55.3758106Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_svd_cpu_float64 PASSED [ 91%] 2022-11-23T01:58:55.3758310Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_svd_lowrank_cpu_float32 PASSED [ 91%] 2022-11-23T01:58:55.3758511Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_svd_lowrank_cpu_float64 PASSED [ 91%] 2022-11-23T01:58:55.3758710Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_symeig_cpu_float64 PASSED [ 91%] 2022-11-23T01:58:55.3758902Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_t_cpu_float64 PASSED [ 91%] 2022-11-23T01:58:55.3759093Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_t_cpu_int64 PASSED [ 91%] 2022-11-23T01:58:55.3759295Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_along_dim_cpu_bool PASSED [ 91%] 2022-11-23T01:58:55.3759504Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_along_dim_cpu_float16 PASSED [ 91%] 2022-11-23T01:58:55.3759709Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_along_dim_cpu_float32 PASSED [ 91%] 2022-11-23T01:58:55.3759913Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_along_dim_cpu_int64 PASSED [ 91%] 2022-11-23T01:58:55.3760096Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_cpu_float16 PASSED [ 92%] 2022-11-23T01:58:55.3760291Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_cpu_float32 PASSED [ 92%] 2022-11-23T01:58:55.3760484Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_cpu_float64 PASSED [ 92%] 2022-11-23T01:58:55.3760678Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_cpu_int32 PASSED [ 92%] 2022-11-23T01:58:55.3760874Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tan_cpu_bool PASSED [ 92%] 2022-11-23T01:58:55.3761066Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tan_cpu_float32 PASSED [ 92%] 2022-11-23T01:58:55.3761287Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tan_cpu_float64 PASSED [ 92%] 2022-11-23T01:58:55.3761478Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tan_cpu_int64 PASSED [ 92%] 2022-11-23T01:58:55.3761672Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tanh_cpu_float32 PASSED [ 92%] 2022-11-23T01:58:55.3761861Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensor_split_cpu_int32 PASSED [ 92%] 2022-11-23T01:58:55.3762061Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensordot_cpu_float32 PASSED [ 92%] 2022-11-23T01:58:55.3762289Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensordot_cpu_float64 PASSED [ 92%] 2022-11-23T01:58:55.3762488Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensordot_cpu_int32 PASSED [ 92%] 2022-11-23T01:58:55.3762684Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tile_cpu_float32 PASSED [ 93%] 2022-11-23T01:58:55.3762878Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tile_cpu_int64 PASSED [ 93%] 2022-11-23T01:58:55.3763072Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_cpu_float64 PASSED [ 93%] 2022-11-23T01:58:55.3763267Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_cpu_int64 PASSED [ 93%] 2022-11-23T01:58:55.3763468Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_sparse_cpu_int32 PASSED [ 93%] 2022-11-23T01:58:55.3763653Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_sparse_cpu_int64 PASSED [ 93%] 2022-11-23T01:58:55.3763849Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_topk_cpu_float32 PASSED [ 93%] 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2022-11-23T01:58:55.3765440Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapezoid_cpu_float32 PASSED [ 94%] 2022-11-23T01:58:55.3765630Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapezoid_cpu_float64 PASSED [ 94%] 2022-11-23T01:58:55.3765829Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapezoid_cpu_int32 PASSED [ 94%] 2022-11-23T01:58:55.3766026Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapezoid_cpu_int64 PASSED [ 94%] 2022-11-23T01:58:55.3766224Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapz_cpu_int32 PASSED [ 94%] 2022-11-23T01:58:55.3766433Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triangular_solve_cpu_float32 PASSED [ 94%] 2022-11-23T01:58:55.3766646Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triangular_solve_cpu_float64 PASSED [ 94%] 2022-11-23T01:58:55.3766871Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_cpu_float32 PASSED [ 94%] 2022-11-23T01:58:55.3767070Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_cpu_float64 PASSED [ 94%] 2022-11-23T01:58:55.3767264Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_cpu_int32 PASSED [ 94%] 2022-11-23T01:58:55.3767443Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_cpu_int64 PASSED [ 94%] 2022-11-23T01:58:55.3767646Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_indices_cpu_int64 PASSED [ 94%] 2022-11-23T01:58:55.3767842Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_cpu_float32 PASSED [ 95%] 2022-11-23T01:58:55.3768079Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_indices_cpu_int64 PASSED [ 95%] 2022-11-23T01:58:55.3768281Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_true_divide_cpu_bool PASSED [ 95%] 2022-11-23T01:58:55.3768487Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_true_divide_cpu_float16 PASSED [ 95%] 2022-11-23T01:58:55.3768690Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_true_divide_cpu_float32 PASSED [ 95%] 2022-11-23T01:58:55.3768887Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_true_divide_cpu_int32 PASSED [ 95%] 2022-11-23T01:58:55.3769083Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_true_divide_cpu_int64 PASSED [ 95%] 2022-11-23T01:58:55.3769281Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trunc_cpu_float32 PASSED [ 95%] 2022-11-23T01:58:55.3769468Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unbind_cpu_float16 PASSED [ 95%] 2022-11-23T01:58:55.3769668Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unbind_cpu_int32 PASSED [ 95%] 2022-11-23T01:58:55.3769867Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unflatten_cpu_bool PASSED [ 95%] 2022-11-23T01:58:55.3770070Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unflatten_cpu_float16 PASSED [ 95%] 2022-11-23T01:58:55.3770266Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unflatten_cpu_float64 PASSED [ 95%] 2022-11-23T01:58:55.3770468Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unflatten_cpu_int64 PASSED [ 96%] 2022-11-23T01:58:55.3770672Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_copy_cpu_float16 PASSED [ 96%] 2022-11-23T01:58:55.3770872Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_cpu_bool PASSED [ 96%] 2022-11-23T01:58:55.3771074Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_cpu_float16 PASSED [ 96%] 2022-11-23T01:58:55.3771261Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_uniform_cpu_float32 PASSED [ 96%] 2022-11-23T01:58:55.3771458Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_uniform_cpu_float64 PASSED [ 96%] 2022-11-23T01:58:55.3771666Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_consecutive_cpu_bool PASSED [ 96%] 2022-11-23T01:58:55.3771864Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_cpu_bool PASSED [ 96%] 2022-11-23T01:58:55.3772060Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_cpu_float64 PASSED [ 96%] 2022-11-23T01:58:55.3772265Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_cpu_float64 PASSED [ 96%] 2022-11-23T01:58:55.3772464Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_cpu_int32 PASSED [ 96%] 2022-11-23T01:58:55.3772691Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_cpu_int64 PASSED [ 96%] 2022-11-23T01:58:55.3772890Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_cpu_float16 PASSED [ 96%] 2022-11-23T01:58:55.3773081Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_cpu_float32 PASSED [ 97%] 2022-11-23T01:58:55.3773269Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_mean_cpu_float16 PASSED [ 97%] 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inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_cpu_float16 PASSED [ 97%] 2022-11-23T01:58:55.3774920Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_cpu_float64 PASSED [ 97%] 2022-11-23T01:58:55.3775104Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_cpu_int64 PASSED [ 97%] 2022-11-23T01:58:55.3775302Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_bool PASSED [ 97%] 2022-11-23T01:58:55.3775500Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_int32 PASSED [ 97%] 2022-11-23T01:58:55.3775693Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_int64 PASSED [ 98%] 2022-11-23T01:58:55.3775887Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_float16 PASSED [ 98%] 2022-11-23T01:58:55.3776081Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_float32 PASSED [ 98%] 2022-11-23T01:58:55.3776273Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_float64 PASSED [ 98%] 2022-11-23T01:58:55.3776469Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_int32 PASSED [ 98%] 2022-11-23T01:58:55.3776666Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_float64 PASSED [ 98%] 2022-11-23T01:58:55.3776859Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_int32 PASSED [ 98%] 2022-11-23T01:58:55.3777045Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_float32 PASSED [ 98%] 2022-11-23T01:58:55.3777237Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_float64 PASSED [ 98%] 2022-11-23T01:58:55.3777432Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_int32 PASSED [ 98%] 2022-11-23T01:58:55.3777625Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_bool PASSED [ 98%] 2022-11-23T01:58:55.3777818Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_float64 PASSED [ 98%] 2022-11-23T01:58:55.3778013Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_int32 PASSED [ 98%] 2022-11-23T01:58:55.3778207Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_float64 PASSED [ 99%] 2022-11-23T01:58:55.3778437Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_int32 PASSED [ 99%] 2022-11-23T01:58:55.3778629Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_int64 PASSED [ 99%] 2022-11-23T01:58:55.3778921Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_bool PASSED [ 99%] 2022-11-23T01:58:55.3779116Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_float32 PASSED [ 99%] 2022-11-23T01:58:55.3779307Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_float64 PASSED [ 99%] 2022-11-23T01:58:55.3779550Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_int32 PASSED [ 99%] 2022-11-23T01:58:55.3779740Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_int64 PASSED [ 99%] 2022-11-23T01:58:55.3779939Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_cpu_float16 PASSED [ 99%] 2022-11-23T01:58:55.3780133Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_cpu_float32 PASSED [ 99%] 2022-11-23T01:58:55.3780324Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_cpu_float64 PASSED [ 99%] 2022-11-23T01:58:55.3780516Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_cpu_int64 PASSED [ 99%] 2022-11-23T01:58:55.3780703Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_bool PASSED [ 99%] 2022-11-23T01:58:55.3781399Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_float32 PASSED [100%]/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py:0: PytestCollectionWarning: cannot collect test class 'TestExpect' because it has a __new__ constructor (from: test/inductor/test_torchinductor_opinfo.py) 2022-11-23T01:58:55.3781428Z 2022-11-23T01:58:55.3781432Z 2022-11-23T01:58:55.3781536Z =============================== warnings summary =============================== 2022-11-23T01:58:55.3781757Z ../../../../../opt/conda/lib/python3.7/site-packages/_pytest/config/__init__.py:1171 2022-11-23T01:58:55.3782121Z /opt/conda/lib/python3.7/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis 2022-11-23T01:58:55.3782221Z self._mark_plugins_for_rewrite(hook) 2022-11-23T01:58:55.3782225Z 2022-11-23T01:58:55.3782462Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html 2022-11-23T01:58:55.3782861Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-3bc85e72bd53ed6f.xml - 2022-11-23T01:58:55.3783000Z ==== 1267 passed, 44 skipped, 2 deselected, 1 warning in 920.21s (0:15:20) ===== 2022-11-23T01:58:55.3783175Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them 2022-11-23T01:58:55.3783181Z 2022-11-23T01:58:55.3783551Z ##[endgroup] 2022-11-23T01:58:55.3783905Z FINISHED PRINTING LOG FILE of inductor/test_torchinductor_opinfo (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_opinfo_a9omzxb4) 2022-11-23T01:58:55.3783911Z 2022-11-23T02:00:14.9293468Z 2022-11-23T02:00:14.9293961Z Expand the folded group to see the log file of inductor/test_torchinductor_opinfo 2022-11-23T02:00:14.9295100Z ##[group]PRINTING LOG FILE of inductor/test_torchinductor_opinfo (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_opinfo_0rxhttx1) 2022-11-23T02:00:14.9301634Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T02:00:14.9302466Z Test results will be stored in test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-3a1927ef7991eb33.xml 2022-11-23T02:00:14.9303307Z ============================= test session starts ============================== 2022-11-23T02:00:14.9303758Z platform linux -- Python 3.7.13, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python 2022-11-23T02:00:14.9304139Z cachedir: .pytest_cache 2022-11-23T02:00:14.9304800Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2022-11-23T02:00:14.9305368Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini 2022-11-23T02:00:14.9305917Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2 2022-11-23T02:00:14.9306562Z collecting ... collected 2709 items / 2 deselected / 2707 selected 2022-11-23T02:00:14.9507112Z Running 1394 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_H_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_H_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_H_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_H_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_T_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_T_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_T_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_T_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_T_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___getitem___cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___getitem___cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___getitem___cpu_int64, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_complex_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_complex_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_complex_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_physical_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_physical_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_physical_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_conj_physical_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_constant_pad_nd_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_constant_pad_nd_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_constant_pad_nd_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_contiguous_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_contiguous_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_contiguous_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_copysign_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_copysign_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_corrcoef_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_corrcoef_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_corrcoef_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cos_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cos_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cos_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cosh_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cosh_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cosh_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cosh_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_count_nonzero_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_count_nonzero_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_count_nonzero_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cov_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cov_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cross_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cross_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummax_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummax_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummin_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cummin_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumprod_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumprod_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumprod_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumsum_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumsum_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumsum_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumulative_trapezoid_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_cumulative_trapezoid_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_deg2rad_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_deg2rad_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_deg2rad_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_embed_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_embed_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_embed_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_embed_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diag_embed_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagflat_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagflat_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagflat_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagflat_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_copy_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_copy_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_copy_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_copy_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_scatter_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_scatter_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_scatter_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_scatter_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_scatter_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diff_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diff_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diff_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diff_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diff_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_digamma_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_digamma_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_digamma_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dist_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_floor_rounding_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_floor_rounding_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_no_rounding_mode_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_no_rounding_mode_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_trunc_rounding_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_trunc_rounding_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_trunc_rounding_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_div_trunc_rounding_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_double_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_double_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_double_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_double_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dsplit_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dsplit_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dsplit_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_dstack_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_einsum_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_einsum_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_einsum_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_einsum_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_like_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_empty_like_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eq_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eq_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eq_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eq_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_equal_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_equal_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erf_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erf_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erf_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erf_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfc_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfc_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfinv_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfinv_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfinv_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_erfinv_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp2_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp2_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp2_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp2_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp2_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_exp_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_as_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_as_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_as_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_as_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expand_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expm1_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expm1_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_expm1_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_eye_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft2_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fft_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftn_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftn_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftn_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftn_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftn_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftshift_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftshift_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_fftshift_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfft_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfftn_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_hfftn_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft2_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifft_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftn_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftn_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftshift_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftshift_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftshift_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ifftshift_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft2_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfft_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfftn_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_ihfftn_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft2_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft2_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft2_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfft_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfftn_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfftn_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfftn_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_irfftn_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft2_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft2_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft2_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft2_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfft_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfftn_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fft_rfftn_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fill_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fill_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fill_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flatten_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flatten_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flatten_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flip_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flip_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flip_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flip_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fliplr_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fliplr_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fliplr_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flipud_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flipud_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flipud_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flipud_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_flipud_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_power_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_power_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_float_power_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_divide_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_divide_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_floor_divide_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmax_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmax_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmax_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmax_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmin_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmin_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmin_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmin_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmod_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_like_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_like_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_like_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_like_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_full_like_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gather_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gather_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gather_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gather_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gcd_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ge_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ge_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ge_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ge_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gradient_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gradient_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gradient_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gradient_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_grid_sampler_2d_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_grid_sampler_2d_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gt_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gt_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_gt_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_half_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_heaviside_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_histc_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_histogram_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_histogram_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hsplit_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hsplit_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hsplit_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hsplit_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hstack_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hstack_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hstack_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hstack_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_i0_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_i0_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_i0_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_igamma_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_igamma_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_igamma_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_igammac_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_igammac_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_add_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_add_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_add_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_copy_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_copy_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_copy_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_copy_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_fill_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_fill_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_put_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_put_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_select_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_select_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_select_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_select_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_select_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_inner_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_inner_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_inner_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_int_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_int_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_int_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_int_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isclose_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isin_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isin_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isin_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isinf_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isinf_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isnan_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isnan_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isnan_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isnan_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isneginf_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isneginf_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isneginf_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isneginf_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isneginf_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isposinf_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isposinf_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isreal_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kthvalue_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kthvalue_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kthvalue_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lcm_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lcm_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ldexp_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ldexp_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ldexp_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lerp_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lgamma_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lgamma_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lgamma_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lgamma_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cross_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cross_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cross_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_det_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_det_singular_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_det_singular_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eig_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eig_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eigh_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eigvals_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eigvalsh_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eigvalsh_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_inv_ex_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_factor_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_factor_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lstsq_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lstsq_grad_oriented_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_factor_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_solve_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_norm_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_power_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_rank_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_rank_hermitian_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_rank_hermitian_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_multi_dot_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_multi_dot_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_multi_dot_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_multi_dot_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_norm_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_norm_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_norm_subgradients_at_zero_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_norm_subgradients_at_zero_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_pinv_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_pinv_hermitian_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_qr_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_slogdet_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_slogdet_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_triangular_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_svd_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_tensorinv_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_tensorsolve_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vander_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vander_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vecdot_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vecdot_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vector_norm_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vector_norm_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vector_norm_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log10_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log10_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log10_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log1p_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log1p_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log1p_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log2_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log2_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log2_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log2_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_with_dtype_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_with_dtype_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_with_dtype_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_with_dtype_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logaddexp2_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logaddexp_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logcumsumexp_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logcumsumexp_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_and_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_and_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_not_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_not_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_not_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_not_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_or_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_or_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_or_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_or_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_xor_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_xor_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_xor_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_xor_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_xor_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logit_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logit_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logit_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logspace_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logspace_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logspace_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logsumexp_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logsumexp_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logsumexp_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_long_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_long_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_long_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lt_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lt_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lt_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lt_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lu_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lu_solve_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mH_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mH_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mT_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mT_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mT_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mT_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mT_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amax_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amax_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amin_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amin_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amin_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmax_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmax_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmin_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmin_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumprod_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumprod_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumprod_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumsum_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumsum_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_fill_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_fill_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_log_softmax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_logaddexp_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_mean_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_mean_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_mean_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_mean_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_median_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_normalize_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_normalize_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_prod_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_prod_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_scatter_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_scatter_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_scatter_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_scatter_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_select_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_select_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_select_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_select_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_softmax_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_softmax_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_softmin_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_std_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_std_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_std_cpu_int32, 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test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i0_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i0_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i1_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i1_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i1_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k0_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k0_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k0_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k0_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k1_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k1_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtr_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtr_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtr_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtr_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtri_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtri_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k0_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k0_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k0_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k1_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k1_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k1_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k1_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_t_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_t_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_v_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_spherical_bessel_j0_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_spherical_bessel_j0_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_xlog1py_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_zeta_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_zeta_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_zeta_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_zeta_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_list_args_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_list_args_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_list_args_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_with_sizes_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_with_sizes_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_with_sizes_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_split_with_sizes_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sqrt_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sqrt_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sqrt_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_square_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_squeeze_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_squeeze_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stack_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stack_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_stack_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_mean_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_mean_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_std_mean_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sub_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sub_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sub_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sub_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_to_size_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_to_size_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sum_to_size_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_symeig_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_t_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_t_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_t_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_t_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_along_dim_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_along_dim_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_take_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tan_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tanh_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tanh_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tanh_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tanh_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensor_split_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensor_split_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensor_split_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensor_split_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensor_split_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tensordot_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tile_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tile_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tile_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tile_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_sparse_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_sparse_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_sparse_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_to_sparse_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trace_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trace_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trace_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trace_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_transpose_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_transpose_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_transpose_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapz_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapz_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapz_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trapz_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_tril_indices_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_triu_indices_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_true_divide_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trunc_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trunc_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_trunc_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unbind_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unbind_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unbind_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unbind_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unflatten_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unflatten_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_copy_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_copy_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_copy_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_copy_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_copy_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unfold_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_uniform_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_consecutive_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_consecutive_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_consecutive_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_consecutive_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vdot_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vdot_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_complex_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_int64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_cpu_bool, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_float16, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_int32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_int64 2022-11-23T02:00:14.9673950Z 2022-11-23T02:00:14.9674869Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_H_cpu_bool PASSED [ 0%] 2022-11-23T02:00:14.9675312Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_H_cpu_float16 PASSED [ 0%] 2022-11-23T02:00:14.9675709Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_H_cpu_float32 PASSED [ 0%] 2022-11-23T02:00:14.9676271Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_H_cpu_int32 PASSED [ 0%] 2022-11-23T02:00:14.9676673Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_T_cpu_bool PASSED [ 0%] 2022-11-23T02:00:14.9677055Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_T_cpu_float16 PASSED [ 0%] 2022-11-23T02:00:14.9677455Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_T_cpu_float64 PASSED [ 0%] 2022-11-23T02:00:14.9677858Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_T_cpu_int32 PASSED [ 0%] 2022-11-23T02:00:14.9678300Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_T_cpu_int64 PASSED [ 0%] 2022-11-23T02:00:14.9678688Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___getitem___cpu_bool PASSED [ 0%] 2022-11-23T02:00:14.9679105Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___getitem___cpu_int32 PASSED [ 0%] 2022-11-23T02:00:14.9679521Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___getitem___cpu_int64 PASSED [ 0%] 2022-11-23T02:00:14.9679934Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___radd___cpu_float32 PASSED [ 0%] 2022-11-23T02:00:14.9680329Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___radd___cpu_float64 PASSED [ 1%] 2022-11-23T02:00:14.9680741Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___radd___cpu_int32 PASSED [ 1%] 2022-11-23T02:00:14.9681144Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___radd___cpu_int64 PASSED [ 1%] 2022-11-23T02:00:14.9681553Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rand___cpu_bool PASSED [ 1%] 2022-11-23T02:00:14.9681940Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rand___cpu_int32 PASSED [ 1%] 2022-11-23T02:00:14.9682392Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rdiv___cpu_float16 SKIPPED (__rdiv__ in torch.float16 not supported) [ 1%] 2022-11-23T02:00:14.9682877Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rdiv___cpu_float32 SKIPPED (__rdiv__ in torch.float32 not supported) [ 1%] 2022-11-23T02:00:14.9683322Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmatmul___cpu_int64 PASSED [ 1%] 2022-11-23T02:00:14.9683722Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmod___cpu_float32 PASSED [ 1%] 2022-11-23T02:00:14.9684133Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmod___cpu_float64 PASSED [ 1%] 2022-11-23T02:00:14.9684540Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmul___cpu_bool PASSED [ 1%] 2022-11-23T02:00:14.9684947Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmul___cpu_float16 PASSED [ 1%] 2022-11-23T02:00:14.9685343Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmul___cpu_float32 PASSED [ 1%] 2022-11-23T02:00:14.9685747Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmul___cpu_float64 PASSED [ 1%] 2022-11-23T02:00:14.9686150Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rmul___cpu_int32 PASSED [ 2%] 2022-11-23T02:00:14.9686540Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___ror___cpu_int64 PASSED [ 2%] 2022-11-23T02:00:14.9686944Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rpow___cpu_float32 PASSED [ 2%] 2022-11-23T02:00:14.9687348Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rpow___cpu_float64 PASSED [ 2%] 2022-11-23T02:00:14.9687806Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rpow___cpu_int32 PASSED [ 2%] 2022-11-23T02:00:14.9688197Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rsub___cpu_float64 PASSED [ 2%] 2022-11-23T02:00:14.9688604Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rsub___cpu_int64 PASSED [ 2%] 2022-11-23T02:00:14.9689011Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive___rxor___cpu_bool PASSED [ 2%] 2022-11-23T02:00:14.9689439Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive__softmax_backward_data_cpu_float64 PASSED [ 2%] 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inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addbmm_cpu_float64 PASSED [ 3%] 2022-11-23T02:00:14.9693097Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addbmm_cpu_int32 PASSED [ 3%] 2022-11-23T02:00:14.9693506Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addcdiv_cpu_float64 PASSED [ 3%] 2022-11-23T02:00:14.9693919Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addcmul_cpu_int64 PASSED [ 3%] 2022-11-23T02:00:14.9694324Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addmm_cpu_int64 PASSED [ 3%] 2022-11-23T02:00:14.9694732Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addmm_decomposed_cpu_float64 PASSED [ 3%] 2022-11-23T02:00:14.9695170Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_addmm_decomposed_cpu_int64 PASSED [ 3%] 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inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_allclose_cpu_float16 PASSED [ 4%] 2022-11-23T02:00:14.9698966Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_allclose_cpu_float64 PASSED [ 4%] 2022-11-23T02:00:14.9699378Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amax_cpu_float32 PASSED [ 4%] 2022-11-23T02:00:14.9699879Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amax_cpu_int64 PASSED [ 4%] 2022-11-23T02:00:14.9700284Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_amin_cpu_float32 PASSED [ 4%] 2022-11-23T02:00:14.9700688Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_angle_cpu_bool PASSED [ 4%] 2022-11-23T02:00:14.9701080Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_angle_cpu_float64 PASSED [ 4%] 2022-11-23T02:00:14.9701485Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_angle_cpu_int32 PASSED [ 4%] 2022-11-23T02:00:14.9701961Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_any_cpu_bool PASSED [ 4%] 2022-11-23T02:00:14.9702360Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_any_cpu_float16 PASSED [ 4%] 2022-11-23T02:00:14.9702750Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_any_cpu_float32 PASSED [ 4%] 2022-11-23T02:00:14.9703141Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_any_cpu_float64 PASSED [ 4%] 2022-11-23T02:00:14.9703544Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_arange_cpu_float16 PASSED [ 5%] 2022-11-23T02:00:14.9703935Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_arange_cpu_float32 PASSED [ 5%] 2022-11-23T02:00:14.9704340Z 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[ 8%] 2022-11-23T02:00:14.9721448Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bincount_cpu_int64 PASSED [ 8%] 2022-11-23T02:00:14.9721855Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_and_cpu_bool PASSED [ 8%] 2022-11-23T02:00:14.9722270Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_and_cpu_int32 PASSED [ 8%] 2022-11-23T02:00:14.9722669Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_and_cpu_int64 PASSED [ 8%] 2022-11-23T02:00:14.9723124Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_left_shift_cpu_int64 PASSED [ 8%] 2022-11-23T02:00:14.9723542Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_bitwise_not_cpu_bool PASSED [ 8%] 2022-11-23T02:00:14.9723954Z 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[ 17%] 2022-11-23T02:00:14.9777014Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagflat_cpu_bool PASSED [ 17%] 2022-11-23T02:00:14.9777422Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagflat_cpu_float32 PASSED [ 17%] 2022-11-23T02:00:14.9777822Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagflat_cpu_float64 PASSED [ 18%] 2022-11-23T02:00:14.9778230Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagflat_cpu_int64 PASSED [ 18%] 2022-11-23T02:00:14.9778643Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_copy_cpu_bool PASSED [ 18%] 2022-11-23T02:00:14.9779189Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_diagonal_copy_cpu_float16 PASSED [ 18%] 2022-11-23T02:00:14.9779601Z 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PASSED [ 29%] 2022-11-23T02:00:14.9843638Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmax_cpu_float64 PASSED [ 29%] 2022-11-23T02:00:14.9844027Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmax_cpu_int32 PASSED [ 29%] 2022-11-23T02:00:14.9844421Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmax_cpu_int64 PASSED [ 29%] 2022-11-23T02:00:14.9844819Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmin_cpu_bool PASSED [ 29%] 2022-11-23T02:00:14.9845220Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmin_cpu_float16 PASSED [ 29%] 2022-11-23T02:00:14.9845602Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmin_cpu_int32 PASSED [ 29%] 2022-11-23T02:00:14.9845997Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_fmin_cpu_int64 PASSED [ 29%] 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2022-11-23T02:00:14.9857714Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_heaviside_cpu_float32 PASSED [ 31%] 2022-11-23T02:00:14.9858120Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_histc_cpu_float64 PASSED [ 32%] 2022-11-23T02:00:14.9858528Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_histogram_cpu_float32 PASSED [ 32%] 2022-11-23T02:00:14.9859070Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_histogram_cpu_float64 PASSED [ 32%] 2022-11-23T02:00:14.9859470Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hsplit_cpu_bool PASSED [ 32%] 2022-11-23T02:00:14.9859884Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hsplit_cpu_float16 PASSED [ 32%] 2022-11-23T02:00:14.9860293Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hsplit_cpu_float32 PASSED [ 32%] 2022-11-23T02:00:14.9860708Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hsplit_cpu_int64 PASSED [ 32%] 2022-11-23T02:00:14.9861097Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hstack_cpu_float32 PASSED [ 32%] 2022-11-23T02:00:14.9861501Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hstack_cpu_float64 PASSED [ 32%] 2022-11-23T02:00:14.9861909Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hstack_cpu_int32 PASSED [ 32%] 2022-11-23T02:00:14.9862305Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_hstack_cpu_int64 PASSED [ 32%] 2022-11-23T02:00:14.9862698Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_i0_cpu_bool PASSED [ 32%] 2022-11-23T02:00:14.9863100Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_i0_cpu_float32 PASSED [ 32%] 2022-11-23T02:00:14.9863496Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_i0_cpu_int64 PASSED [ 32%] 2022-11-23T02:00:14.9863938Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_igamma_cpu_float16 PASSED [ 33%] 2022-11-23T02:00:14.9864340Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_igamma_cpu_float32 PASSED [ 33%] 2022-11-23T02:00:14.9864738Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_igamma_cpu_float64 PASSED [ 33%] 2022-11-23T02:00:14.9865146Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_igammac_cpu_float16 PASSED [ 33%] 2022-11-23T02:00:14.9865544Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_igammac_cpu_float32 PASSED [ 33%] 2022-11-23T02:00:14.9866000Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_add_cpu_float32 PASSED [ 33%] 2022-11-23T02:00:14.9866417Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_add_cpu_float64 PASSED [ 33%] 2022-11-23T02:00:14.9866829Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_add_cpu_int32 PASSED [ 33%] 2022-11-23T02:00:14.9867227Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_copy_cpu_float16 PASSED [ 33%] 2022-11-23T02:00:14.9867641Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_copy_cpu_float64 PASSED [ 33%] 2022-11-23T02:00:14.9868051Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_copy_cpu_int32 PASSED [ 33%] 2022-11-23T02:00:14.9868463Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_copy_cpu_int64 PASSED [ 33%] 2022-11-23T02:00:14.9868861Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_fill_cpu_float16 PASSED [ 33%] 2022-11-23T02:00:14.9869361Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_fill_cpu_float64 PASSED [ 34%] 2022-11-23T02:00:14.9869776Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_put_cpu_float16 PASSED [ 34%] 2022-11-23T02:00:14.9870191Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_put_cpu_int64 PASSED [ 34%] 2022-11-23T02:00:14.9870598Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_cpu_float16 PASSED [ 34%] 2022-11-23T02:00:14.9871023Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_reduce_cpu_float64 PASSED [ 34%] 2022-11-23T02:00:14.9871442Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_select_cpu_bool PASSED [ 34%] 2022-11-23T02:00:14.9871865Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_select_cpu_float16 PASSED [ 34%] 2022-11-23T02:00:14.9872271Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_select_cpu_float32 PASSED [ 34%] 2022-11-23T02:00:14.9872697Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_select_cpu_int32 PASSED [ 34%] 2022-11-23T02:00:14.9873113Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_index_select_cpu_int64 PASSED [ 34%] 2022-11-23T02:00:14.9873524Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_inner_cpu_float32 PASSED [ 34%] 2022-11-23T02:00:14.9873915Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_inner_cpu_float64 PASSED [ 34%] 2022-11-23T02:00:14.9874318Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_inner_cpu_int32 PASSED [ 34%] 2022-11-23T02:00:14.9874723Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_int_cpu_bool PASSED [ 34%] 2022-11-23T02:00:14.9875110Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_int_cpu_float16 PASSED [ 35%] 2022-11-23T02:00:14.9875547Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_int_cpu_float64 PASSED [ 35%] 2022-11-23T02:00:14.9875942Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_int_cpu_int32 PASSED [ 35%] 2022-11-23T02:00:14.9876350Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isclose_cpu_bool PASSED [ 35%] 2022-11-23T02:00:14.9876744Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_bool PASSED [ 35%] 2022-11-23T02:00:14.9877153Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_int32 PASSED [ 35%] 2022-11-23T02:00:14.9877627Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isfinite_cpu_int64 PASSED [ 35%] 2022-11-23T02:00:14.9878034Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isin_cpu_float32 PASSED [ 35%] 2022-11-23T02:00:14.9878424Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isin_cpu_int32 PASSED [ 35%] 2022-11-23T02:00:14.9878822Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isin_cpu_int64 PASSED [ 35%] 2022-11-23T02:00:14.9879227Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isinf_cpu_bool PASSED [ 35%] 2022-11-23T02:00:14.9879631Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isinf_cpu_float64 PASSED [ 35%] 2022-11-23T02:00:14.9880023Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isnan_cpu_bool PASSED [ 35%] 2022-11-23T02:00:14.9880427Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isnan_cpu_float32 PASSED [ 35%] 2022-11-23T02:00:14.9880833Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isnan_cpu_float64 PASSED [ 36%] 2022-11-23T02:00:14.9881238Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isnan_cpu_int64 PASSED [ 36%] 2022-11-23T02:00:14.9881628Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isneginf_cpu_bool PASSED [ 36%] 2022-11-23T02:00:14.9882036Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isneginf_cpu_float16 PASSED [ 36%] 2022-11-23T02:00:14.9882451Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isneginf_cpu_float32 PASSED [ 36%] 2022-11-23T02:00:14.9882849Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isneginf_cpu_float64 PASSED [ 36%] 2022-11-23T02:00:14.9883256Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isneginf_cpu_int32 PASSED [ 36%] 2022-11-23T02:00:14.9883664Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isposinf_cpu_bool PASSED [ 36%] 2022-11-23T02:00:14.9884078Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isposinf_cpu_float16 PASSED [ 36%] 2022-11-23T02:00:14.9884476Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_isreal_cpu_bool PASSED [ 36%] 2022-11-23T02:00:14.9884919Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_float16 SKIPPED (Only runs on cuda) [ 36%] 2022-11-23T02:00:14.9885407Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_float64 SKIPPED (Only runs on cuda) [ 36%] 2022-11-23T02:00:14.9885883Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_int64 SKIPPED (Only runs on cuda) [ 36%] 2022-11-23T02:00:14.9886355Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_bool SKIPPED (Only runs on cuda) [ 36%] 2022-11-23T02:00:14.9886883Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_float32 SKIPPED (Only runs on cuda) [ 37%] 2022-11-23T02:00:14.9887376Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_int32 SKIPPED (Only runs on cuda) [ 37%] 2022-11-23T02:00:14.9887852Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_cpu_bool SKIPPED (Only runs on cuda) [ 37%] 2022-11-23T02:00:14.9888314Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_cpu_float16 SKIPPED (Only runs on cuda) [ 37%] 2022-11-23T02:00:14.9888763Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_cpu_int32 SKIPPED (Only runs on cuda) [ 37%] 2022-11-23T02:00:14.9889264Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_bool SKIPPED (Only runs on cuda) [ 37%] 2022-11-23T02:00:14.9889751Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_float16 SKIPPED (Only runs on cuda) [ 37%] 2022-11-23T02:00:14.9890231Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_int32 SKIPPED (Only runs on cuda) [ 37%] 2022-11-23T02:00:14.9890688Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_jiterator_unary_cpu_float16 SKIPPED (Only runs on cuda) [ 37%] 2022-11-23T02:00:14.9891120Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_bool PASSED [ 37%] 2022-11-23T02:00:14.9891523Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_int32 PASSED [ 37%] 2022-11-23T02:00:14.9891926Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kron_cpu_int64 PASSED [ 37%] 2022-11-23T02:00:14.9892319Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kthvalue_cpu_float32 PASSED [ 37%] 2022-11-23T02:00:14.9892731Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kthvalue_cpu_float64 PASSED [ 37%] 2022-11-23T02:00:14.9893143Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_kthvalue_cpu_int32 PASSED [ 38%] 2022-11-23T02:00:14.9893548Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lcm_cpu_int32 PASSED [ 38%] 2022-11-23T02:00:14.9893931Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lcm_cpu_int64 PASSED [ 38%] 2022-11-23T02:00:14.9894334Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ldexp_cpu_float16 PASSED [ 38%] 2022-11-23T02:00:14.9894740Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ldexp_cpu_float64 PASSED [ 38%] 2022-11-23T02:00:14.9895132Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ldexp_cpu_int64 PASSED [ 38%] 2022-11-23T02:00:14.9895534Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_bool PASSED [ 38%] 2022-11-23T02:00:14.9895932Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_float16 PASSED [ 38%] 2022-11-23T02:00:14.9896328Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_float64 PASSED [ 38%] 2022-11-23T02:00:14.9896710Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_int32 PASSED [ 38%] 2022-11-23T02:00:14.9897104Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_le_cpu_int64 PASSED [ 38%] 2022-11-23T02:00:14.9897513Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lerp_cpu_float32 PASSED [ 38%] 2022-11-23T02:00:14.9897921Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lgamma_cpu_float32 PASSED [ 38%] 2022-11-23T02:00:14.9898353Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lgamma_cpu_float64 PASSED [ 38%] 2022-11-23T02:00:14.9898876Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lgamma_cpu_int32 PASSED [ 39%] 2022-11-23T02:00:14.9899281Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_lgamma_cpu_int64 PASSED [ 39%] 2022-11-23T02:00:14.9899698Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cross_cpu_float32 PASSED [ 39%] 2022-11-23T02:00:14.9900109Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cross_cpu_float64 PASSED [ 39%] 2022-11-23T02:00:14.9900584Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cross_cpu_int32 PASSED [ 39%] 2022-11-23T02:00:14.9901003Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_det_cpu_float32 PASSED [ 39%] 2022-11-23T02:00:14.9901428Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_det_singular_cpu_float32 PASSED [ 39%] 2022-11-23T02:00:14.9901845Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_det_singular_cpu_float64 PASSED [ 39%] 2022-11-23T02:00:14.9902271Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eig_cpu_float32 PASSED [ 39%] 2022-11-23T02:00:14.9902690Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eig_cpu_float64 PASSED [ 39%] 2022-11-23T02:00:14.9903108Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eigh_cpu_float32 PASSED [ 39%] 2022-11-23T02:00:14.9903519Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eigvals_cpu_float64 PASSED [ 39%] 2022-11-23T02:00:14.9903941Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eigvalsh_cpu_float32 PASSED [ 39%] 2022-11-23T02:00:14.9904370Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_eigvalsh_cpu_float64 PASSED [ 39%] 2022-11-23T02:00:14.9904793Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_inv_ex_cpu_float64 PASSED [ 40%] 2022-11-23T02:00:14.9905262Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_factor_cpu_float32 SKIPPED (linalg.ldl_factor in torch.float32 not supported) [ 40%] 2022-11-23T02:00:14.9905800Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_ldl_factor_cpu_float64 SKIPPED (linalg.ldl_factor in torch.float64 not supported) [ 40%] 2022-11-23T02:00:14.9906280Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lstsq_cpu_float32 PASSED [ 40%] 2022-11-23T02:00:14.9906717Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lstsq_grad_oriented_cpu_float32 PASSED [ 40%] 2022-11-23T02:00:14.9907138Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_cpu_float32 PASSED [ 40%] 2022-11-23T02:00:14.9907551Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_cpu_float64 PASSED [ 40%] 2022-11-23T02:00:14.9907972Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_factor_cpu_float64 PASSED [ 40%] 2022-11-23T02:00:14.9908396Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_lu_solve_cpu_float64 PASSED [ 40%] 2022-11-23T02:00:14.9908807Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_norm_cpu_float32 PASSED [ 40%] 2022-11-23T02:00:14.9909326Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_power_cpu_float32 PASSED [ 40%] 2022-11-23T02:00:14.9909765Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_rank_cpu_float32 PASSED [ 40%] 2022-11-23T02:00:14.9910266Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_rank_hermitian_cpu_float32 PASSED [ 40%] 2022-11-23T02:00:14.9910704Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_matrix_rank_hermitian_cpu_float64 PASSED [ 40%] 2022-11-23T02:00:14.9911138Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_multi_dot_cpu_float32 PASSED [ 41%] 2022-11-23T02:00:14.9911569Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_multi_dot_cpu_float64 PASSED [ 41%] 2022-11-23T02:00:14.9911996Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_multi_dot_cpu_int32 PASSED [ 41%] 2022-11-23T02:00:14.9912437Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_multi_dot_cpu_int64 PASSED [ 41%] 2022-11-23T02:00:14.9912856Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_norm_cpu_float32 PASSED [ 41%] 2022-11-23T02:00:14.9913276Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_norm_cpu_float64 PASSED [ 41%] 2022-11-23T02:00:14.9913718Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_norm_subgradients_at_zero_cpu_float16 PASSED [ 41%] 2022-11-23T02:00:14.9914165Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_norm_subgradients_at_zero_cpu_float32 PASSED [ 41%] 2022-11-23T02:00:14.9914608Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_pinv_cpu_float64 PASSED [ 41%] 2022-11-23T02:00:14.9915041Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_pinv_hermitian_cpu_float32 PASSED [ 41%] 2022-11-23T02:00:14.9915455Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_qr_cpu_float64 PASSED [ 41%] 2022-11-23T02:00:14.9915873Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_slogdet_cpu_float32 PASSED [ 41%] 2022-11-23T02:00:14.9916296Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_slogdet_cpu_float64 PASSED [ 41%] 2022-11-23T02:00:14.9916715Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_cpu_float32 PASSED [ 41%] 2022-11-23T02:00:14.9917130Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_solve_triangular_cpu_float64 PASSED [ 42%] 2022-11-23T02:00:14.9917555Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_svd_cpu_float32 PASSED [ 42%] 2022-11-23T02:00:14.9917976Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_tensorinv_cpu_float64 PASSED [ 42%] 2022-11-23T02:00:14.9918407Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_tensorsolve_cpu_float32 PASSED [ 42%] 2022-11-23T02:00:14.9918821Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vander_cpu_float32 PASSED [ 42%] 2022-11-23T02:00:14.9919238Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vander_cpu_int32 PASSED [ 42%] 2022-11-23T02:00:14.9919653Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vecdot_cpu_float32 PASSED [ 42%] 2022-11-23T02:00:14.9920077Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vecdot_cpu_float64 PASSED [ 42%] 2022-11-23T02:00:14.9920484Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vector_norm_cpu_float16 PASSED [ 42%] 2022-11-23T02:00:14.9920915Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vector_norm_cpu_float32 PASSED [ 42%] 2022-11-23T02:00:14.9921390Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_vector_norm_cpu_float64 PASSED [ 42%] 2022-11-23T02:00:14.9921807Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log10_cpu_float32 PASSED [ 42%] 2022-11-23T02:00:14.9922195Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log10_cpu_int32 PASSED [ 42%] 2022-11-23T02:00:14.9922595Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log10_cpu_int64 PASSED [ 42%] 2022-11-23T02:00:14.9922999Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log1p_cpu_float32 PASSED [ 43%] 2022-11-23T02:00:14.9923401Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log1p_cpu_int32 PASSED [ 43%] 2022-11-23T02:00:14.9923821Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log1p_cpu_int64 PASSED [ 43%] 2022-11-23T02:00:14.9924220Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log2_cpu_bool PASSED [ 43%] 2022-11-23T02:00:14.9924623Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log2_cpu_float32 PASSED [ 43%] 2022-11-23T02:00:14.9925022Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log2_cpu_int32 PASSED [ 43%] 2022-11-23T02:00:14.9925405Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log2_cpu_int64 PASSED [ 43%] 2022-11-23T02:00:14.9925814Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_cpu_float32 PASSED [ 43%] 2022-11-23T02:00:14.9926239Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_with_dtype_cpu_bool PASSED [ 43%] 2022-11-23T02:00:14.9926677Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_with_dtype_cpu_float32 PASSED [ 43%] 2022-11-23T02:00:14.9927099Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_with_dtype_cpu_int32 PASSED [ 43%] 2022-11-23T02:00:14.9927529Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_log_softmax_with_dtype_cpu_int64 PASSED [ 43%] 2022-11-23T02:00:14.9927951Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logaddexp2_cpu_float32 PASSED [ 43%] 2022-11-23T02:00:14.9928365Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logaddexp_cpu_float32 PASSED [ 43%] 2022-11-23T02:00:14.9928774Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logcumsumexp_cpu_float32 PASSED [ 44%] 2022-11-23T02:00:14.9929199Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logcumsumexp_cpu_float64 PASSED [ 44%] 2022-11-23T02:00:14.9929624Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_and_cpu_float64 PASSED [ 44%] 2022-11-23T02:00:14.9930027Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_and_cpu_int32 PASSED [ 44%] 2022-11-23T02:00:14.9930438Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_not_cpu_bool PASSED [ 44%] 2022-11-23T02:00:14.9930855Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_not_cpu_float16 PASSED [ 44%] 2022-11-23T02:00:14.9931270Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_not_cpu_float32 PASSED [ 44%] 2022-11-23T02:00:14.9931671Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_not_cpu_int32 PASSED [ 44%] 2022-11-23T02:00:14.9932084Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_or_cpu_bool PASSED [ 44%] 2022-11-23T02:00:14.9932497Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_or_cpu_float16 PASSED [ 44%] 2022-11-23T02:00:14.9932986Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_or_cpu_int32 PASSED [ 44%] 2022-11-23T02:00:14.9933384Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_or_cpu_int64 PASSED [ 44%] 2022-11-23T02:00:14.9933798Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_xor_cpu_bool PASSED [ 44%] 2022-11-23T02:00:14.9934215Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_xor_cpu_float32 PASSED [ 44%] 2022-11-23T02:00:14.9934633Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_xor_cpu_float64 PASSED [ 45%] 2022-11-23T02:00:14.9935035Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_xor_cpu_int32 PASSED [ 45%] 2022-11-23T02:00:14.9935484Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logical_xor_cpu_int64 PASSED [ 45%] 2022-11-23T02:00:14.9935897Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logit_cpu_float32 PASSED [ 45%] 2022-11-23T02:00:14.9936300Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logit_cpu_float64 PASSED [ 45%] 2022-11-23T02:00:14.9936693Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logit_cpu_int32 PASSED [ 45%] 2022-11-23T02:00:14.9937107Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logspace_cpu_float64 PASSED [ 45%] 2022-11-23T02:00:14.9937519Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logspace_cpu_int32 PASSED [ 45%] 2022-11-23T02:00:14.9937923Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logspace_cpu_int64 PASSED [ 45%] 2022-11-23T02:00:14.9938315Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_logsumexp_cpu_bool PASSED [ 45%] 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inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mT_cpu_float32 PASSED [ 46%] 2022-11-23T02:00:14.9944893Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mT_cpu_float64 PASSED [ 46%] 2022-11-23T02:00:14.9945292Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mT_cpu_int32 PASSED [ 46%] 2022-11-23T02:00:14.9945684Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mT_cpu_int64 PASSED [ 46%] 2022-11-23T02:00:14.9946076Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amax_cpu_float64 PASSED [ 47%] 2022-11-23T02:00:14.9946488Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amax_cpu_int32 PASSED [ 47%] 2022-11-23T02:00:14.9946905Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amax_cpu_int64 PASSED [ 47%] 2022-11-23T02:00:14.9947345Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amin_cpu_float64 PASSED [ 47%] 2022-11-23T02:00:14.9947760Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amin_cpu_int32 PASSED [ 47%] 2022-11-23T02:00:14.9948174Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_amin_cpu_int64 PASSED [ 47%] 2022-11-23T02:00:14.9948593Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmax_cpu_float64 PASSED [ 47%] 2022-11-23T02:00:14.9949000Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmax_cpu_int32 PASSED [ 47%] 2022-11-23T02:00:14.9949500Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmax_cpu_int64 PASSED [ 47%] 2022-11-23T02:00:14.9949920Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmin_cpu_float16 PASSED [ 47%] 2022-11-23T02:00:14.9950347Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_argmin_cpu_float64 PASSED [ 47%] 2022-11-23T02:00:14.9950758Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumprod_cpu_float32 PASSED [ 47%] 2022-11-23T02:00:14.9951182Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumprod_cpu_float64 PASSED [ 47%] 2022-11-23T02:00:14.9951609Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumprod_cpu_int64 PASSED [ 47%] 2022-11-23T02:00:14.9952032Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumsum_cpu_float64 PASSED [ 48%] 2022-11-23T02:00:14.9952440Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_cumsum_cpu_int64 PASSED [ 48%] 2022-11-23T02:00:14.9952860Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_fill_cpu_float32 PASSED [ 48%] 2022-11-23T02:00:14.9953277Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_fill_cpu_int64 PASSED [ 48%] 2022-11-23T02:00:14.9953698Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_log_softmax_cpu_float64 PASSED [ 48%] 2022-11-23T02:00:14.9954115Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_logaddexp_cpu_float32 PASSED [ 48%] 2022-11-23T02:00:14.9954535Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_mean_cpu_float16 PASSED [ 48%] 2022-11-23T02:00:14.9954950Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_mean_cpu_float64 PASSED [ 48%] 2022-11-23T02:00:14.9955362Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_mean_cpu_int32 PASSED [ 48%] 2022-11-23T02:00:14.9955763Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_mean_cpu_int64 PASSED [ 48%] 2022-11-23T02:00:14.9956182Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_median_cpu_float32 PASSED [ 48%] 2022-11-23T02:00:14.9956642Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_normalize_cpu_float16 PASSED [ 48%] 2022-11-23T02:00:14.9957072Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_normalize_cpu_float64 PASSED [ 48%] 2022-11-23T02:00:14.9957478Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_prod_cpu_bool PASSED [ 48%] 2022-11-23T02:00:14.9957896Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_prod_cpu_float32 PASSED [ 49%] 2022-11-23T02:00:14.9958315Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_scatter_cpu_bool PASSED [ 49%] 2022-11-23T02:00:14.9958767Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_scatter_cpu_float16 PASSED [ 49%] 2022-11-23T02:00:14.9959176Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_scatter_cpu_float32 PASSED [ 49%] 2022-11-23T02:00:14.9959594Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_scatter_cpu_int32 PASSED [ 49%] 2022-11-23T02:00:14.9960011Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_select_cpu_bool PASSED [ 49%] 2022-11-23T02:00:14.9960418Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_select_cpu_float16 PASSED [ 49%] 2022-11-23T02:00:14.9960836Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_select_cpu_float32 PASSED [ 49%] 2022-11-23T02:00:14.9961254Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_select_cpu_float64 PASSED [ 49%] 2022-11-23T02:00:14.9961676Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_softmax_cpu_float32 PASSED [ 49%] 2022-11-23T02:00:14.9962084Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_softmax_cpu_float64 PASSED [ 49%] 2022-11-23T02:00:14.9962505Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_softmin_cpu_float32 PASSED [ 49%] 2022-11-23T02:00:14.9962918Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_std_cpu_float32 PASSED [ 49%] 2022-11-23T02:00:14.9963330Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_std_cpu_float64 PASSED [ 50%] 2022-11-23T02:00:14.9963731Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_std_cpu_int32 PASSED [ 50%] 2022-11-23T02:00:14.9964143Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_var_cpu_float16 PASSED [ 50%] 2022-11-23T02:00:14.9964555Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_var_cpu_float32 PASSED [ 50%] 2022-11-23T02:00:14.9964961Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_var_cpu_float64 PASSED [ 50%] 2022-11-23T02:00:14.9965351Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_masked_var_cpu_int32 PASSED [ 50%] 2022-11-23T02:00:14.9965757Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_matmul_cpu_int32 PASSED [ 50%] 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inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_no_dim_cpu_bool PASSED [ 50%] 2022-11-23T02:00:14.9969143Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_no_dim_cpu_float16 PASSED [ 51%] 2022-11-23T02:00:14.9969573Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_no_dim_cpu_float32 PASSED [ 51%] 2022-11-23T02:00:14.9969998Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_no_dim_cpu_float64 PASSED [ 51%] 2022-11-23T02:00:14.9970449Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_no_dim_cpu_int64 PASSED [ 51%] 2022-11-23T02:00:14.9970885Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_with_dim_cpu_float16 PASSED [ 51%] 2022-11-23T02:00:14.9971319Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_with_dim_cpu_float32 PASSED [ 51%] 2022-11-23T02:00:14.9971754Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_max_reduction_with_dim_cpu_int32 PASSED [ 51%] 2022-11-23T02:00:14.9972161Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_maximum_cpu_float16 PASSED [ 51%] 2022-11-23T02:00:14.9972569Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_maximum_cpu_float32 PASSED [ 51%] 2022-11-23T02:00:14.9972979Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_maximum_cpu_int32 PASSED [ 51%] 2022-11-23T02:00:14.9973380Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mean_cpu_float32 PASSED [ 51%] 2022-11-23T02:00:14.9973775Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_median_cpu_float32 PASSED [ 51%] 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inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_float16 PASSED [ 52%] 2022-11-23T02:00:14.9977156Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_float64 PASSED [ 52%] 2022-11-23T02:00:14.9977599Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_int64 PASSED [ 52%] 2022-11-23T02:00:14.9978028Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_binary_cpu_float16 PASSED [ 52%] 2022-11-23T02:00:14.9978433Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_binary_cpu_float64 PASSED [ 52%] 2022-11-23T02:00:14.9978963Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_binary_cpu_int64 PASSED [ 52%] 2022-11-23T02:00:14.9979388Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_no_dim_cpu_bool PASSED [ 52%] 2022-11-23T02:00:14.9979881Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_no_dim_cpu_int32 PASSED [ 52%] 2022-11-23T02:00:14.9980301Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_with_dim_cpu_bool PASSED [ 52%] 2022-11-23T02:00:14.9980735Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_with_dim_cpu_float16 PASSED [ 52%] 2022-11-23T02:00:14.9981175Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_min_reduction_with_dim_cpu_float64 PASSED [ 53%] 2022-11-23T02:00:14.9981638Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_minimum_cpu_bool PASSED [ 53%] 2022-11-23T02:00:14.9982032Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_minimum_cpu_float64 PASSED [ 53%] 2022-11-23T02:00:14.9982443Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mm_cpu_float32 PASSED [ 53%] 2022-11-23T02:00:14.9982846Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mm_cpu_float64 PASSED [ 53%] 2022-11-23T02:00:14.9983242Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mm_cpu_int32 PASSED [ 53%] 2022-11-23T02:00:14.9983625Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mm_cpu_int64 PASSED [ 53%] 2022-11-23T02:00:14.9984025Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mode_cpu_float16 PASSED [ 53%] 2022-11-23T02:00:14.9984425Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_movedim_cpu_bool PASSED [ 53%] 2022-11-23T02:00:14.9984832Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_msort_cpu_float16 PASSED [ 53%] 2022-11-23T02:00:14.9985223Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_msort_cpu_int32 PASSED [ 53%] 2022-11-23T02:00:14.9985620Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_msort_cpu_int64 PASSED [ 53%] 2022-11-23T02:00:14.9986021Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mul_cpu_bool PASSED [ 53%] 2022-11-23T02:00:14.9986423Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mul_cpu_float32 PASSED [ 53%] 2022-11-23T02:00:14.9986809Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mul_cpu_int64 PASSED [ 54%] 2022-11-23T02:00:14.9987215Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_multinomial_cpu_float32 PASSED [ 54%] 2022-11-23T02:00:14.9987637Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_multinomial_cpu_float64 PASSED [ 54%] 2022-11-23T02:00:14.9988034Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mv_cpu_float32 PASSED [ 54%] 2022-11-23T02:00:14.9988454Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_float32 PASSED [ 54%] 2022-11-23T02:00:14.9988883Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_int32 PASSED [ 54%] 2022-11-23T02:00:14.9989384Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_int64 PASSED [ 54%] 2022-11-23T02:00:14.9989796Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_int32 PASSED [ 54%] 2022-11-23T02:00:14.9990232Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_float64 PASSED [ 54%] 2022-11-23T02:00:14.9990667Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_int64 PASSED [ 54%] 2022-11-23T02:00:14.9991089Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nan_to_num_cpu_float16 PASSED [ 54%] 2022-11-23T02:00:14.9991533Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nan_to_num_cpu_float32 PASSED [ 54%] 2022-11-23T02:00:14.9991945Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nan_to_num_cpu_float64 PASSED [ 54%] 2022-11-23T02:00:14.9992354Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nan_to_num_cpu_int32 PASSED [ 54%] 2022-11-23T02:00:14.9992767Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanmedian_cpu_int64 PASSED [ 55%] 2022-11-23T02:00:14.9993169Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nanquantile_cpu_float64 PASSED [ 55%] 2022-11-23T02:00:14.9993611Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nansum_cpu_bool PASSED [ 55%] 2022-11-23T02:00:14.9994017Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nansum_cpu_float32 PASSED [ 55%] 2022-11-23T02:00:14.9994429Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nansum_cpu_float64 PASSED [ 55%] 2022-11-23T02:00:14.9994823Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nansum_cpu_int64 PASSED [ 55%] 2022-11-23T02:00:14.9995233Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_copy_cpu_float16 PASSED [ 55%] 2022-11-23T02:00:14.9995652Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_copy_cpu_float64 PASSED [ 55%] 2022-11-23T02:00:14.9996069Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_copy_cpu_int32 PASSED [ 55%] 2022-11-23T02:00:14.9996471Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_copy_cpu_int64 PASSED [ 55%] 2022-11-23T02:00:14.9996879Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_cpu_float32 PASSED [ 55%] 2022-11-23T02:00:14.9997288Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_narrow_cpu_int64 PASSED [ 55%] 2022-11-23T02:00:14.9997705Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_batch_norm_cpu_float32 PASSED [ 55%] 2022-11-23T02:00:14.9998129Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_dropout_backward_cpu_float32 PASSED [ 55%] 2022-11-23T02:00:14.9998566Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_layer_norm_cpu_float32 PASSED [ 56%] 2022-11-23T02:00:14.9998994Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_native_layer_norm_cpu_float64 PASSED [ 56%] 2022-11-23T02:00:14.9999408Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ne_cpu_bool PASSED [ 56%] 2022-11-23T02:00:14.9999794Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ne_cpu_float32 PASSED [ 56%] 2022-11-23T02:00:15.0000199Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ne_cpu_float64 PASSED [ 56%] 2022-11-23T02:00:15.0000599Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ne_cpu_int32 PASSED [ 56%] 2022-11-23T02:00:15.0000984Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_neg_cpu_float32 PASSED [ 56%] 2022-11-23T02:00:15.0001389Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_neg_cpu_int32 PASSED [ 56%] 2022-11-23T02:00:15.0001784Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_neg_cpu_int64 PASSED [ 56%] 2022-11-23T02:00:15.0002192Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_cpu_float64 PASSED [ 56%] 2022-11-23T02:00:15.0002591Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_cpu_int64 PASSED [ 56%] 2022-11-23T02:00:15.0003045Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_strided_cpu_bool PASSED [ 56%] 2022-11-23T02:00:15.0003477Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_new_empty_strided_cpu_float64 PASSED [ 56%] 2022-11-23T02:00:15.0003896Z 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inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pad_replicate_cpu_float64 PASSED [ 64%] 2022-11-23T02:00:15.0072762Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pairwise_distance_cpu_float16 PASSED [ 64%] 2022-11-23T02:00:15.0073216Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pairwise_distance_cpu_int32 PASSED [ 64%] 2022-11-23T02:00:15.0073661Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pairwise_distance_cpu_int64 PASSED [ 64%] 2022-11-23T02:00:15.0074108Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pixel_shuffle_cpu_bool PASSED [ 64%] 2022-11-23T02:00:15.0074551Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pixel_shuffle_cpu_float32 PASSED [ 64%] 2022-11-23T02:00:15.0074994Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pixel_unshuffle_cpu_bool PASSED [ 65%] 2022-11-23T02:00:15.0075431Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pixel_unshuffle_cpu_float32 PASSED [ 65%] 2022-11-23T02:00:15.0075879Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pixel_unshuffle_cpu_float64 PASSED [ 65%] 2022-11-23T02:00:15.0076332Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_pixel_unshuffle_cpu_int64 PASSED [ 65%] 2022-11-23T02:00:15.0076780Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_poisson_nll_loss_cpu_float64 PASSED [ 65%] 2022-11-23T02:00:15.0077214Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_relu6_cpu_float64 PASSED [ 65%] 2022-11-23T02:00:15.0077638Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_relu6_cpu_int32 PASSED [ 65%] 2022-11-23T02:00:15.0078063Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_relu_cpu_float32 PASSED [ 65%] 2022-11-23T02:00:15.0078486Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_relu_cpu_int32 PASSED [ 65%] 2022-11-23T02:00:15.0078902Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_rrelu_cpu_float64 PASSED [ 65%] 2022-11-23T02:00:15.0079335Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_silu_cpu_float64 PASSED [ 65%] 2022-11-23T02:00:15.0079832Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_smooth_l1_loss_cpu_float16 PASSED [ 65%] 2022-11-23T02:00:15.0080277Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_smooth_l1_loss_cpu_float32 PASSED [ 65%] 2022-11-23T02:00:15.0080706Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_smooth_l1_loss_cpu_float64 PASSED [ 65%] 2022-11-23T02:00:15.0081157Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softmin_with_dtype_cpu_float16 PASSED [ 66%] 2022-11-23T02:00:15.0081611Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softmin_with_dtype_cpu_float32 PASSED [ 66%] 2022-11-23T02:00:15.0082098Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softmin_with_dtype_cpu_float64 PASSED [ 66%] 2022-11-23T02:00:15.0082535Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softmin_with_dtype_cpu_int32 PASSED [ 66%] 2022-11-23T02:00:15.0082980Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softmin_with_dtype_cpu_int64 PASSED [ 66%] 2022-11-23T02:00:15.0083420Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softplus_cpu_float32 PASSED [ 66%] 2022-11-23T02:00:15.0083859Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softplus_cpu_float64 PASSED [ 66%] 2022-11-23T02:00:15.0084279Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softsign_cpu_float16 PASSED [ 66%] 2022-11-23T02:00:15.0084715Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_softsign_cpu_float64 PASSED [ 66%] 2022-11-23T02:00:15.0085146Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_tanhshrink_cpu_float64 PASSED [ 66%] 2022-11-23T02:00:15.0085586Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_tanhshrink_cpu_int64 PASSED [ 66%] 2022-11-23T02:00:15.0086123Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_threshold_cpu_int32 PASSED [ 66%] 2022-11-23T02:00:15.0086562Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_threshold_cpu_int64 PASSED [ 66%] 2022-11-23T02:00:15.0087007Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_triplet_margin_loss_cpu_float32 PASSED [ 67%] 2022-11-23T02:00:15.0087460Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_triplet_margin_loss_cpu_int32 PASSED [ 67%] 2022-11-23T02:00:15.0087922Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_triplet_margin_with_distance_loss_cpu_float64 PASSED [ 67%] 2022-11-23T02:00:15.0088383Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_unfold_cpu_float16 PASSED [ 67%] 2022-11-23T02:00:15.0088816Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_unfold_cpu_float32 PASSED [ 67%] 2022-11-23T02:00:15.0089249Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_unfold_cpu_float64 PASSED [ 67%] 2022-11-23T02:00:15.0089682Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_upsample_bilinear_cpu_float32 PASSED [ 67%] 2022-11-23T02:00:15.0090139Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_upsample_bilinear_cpu_float64 PASSED [ 67%] 2022-11-23T02:00:15.0090598Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nn_functional_upsample_nearest_cpu_float32 PASSED [ 67%] 2022-11-23T02:00:15.0091061Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nonzero_cpu_float16 PASSED [ 67%] 2022-11-23T02:00:15.0091460Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nonzero_cpu_float32 PASSED [ 67%] 2022-11-23T02:00:15.0091866Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nonzero_cpu_float64 PASSED [ 67%] 2022-11-23T02:00:15.0092275Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_nonzero_cpu_int32 PASSED [ 67%] 2022-11-23T02:00:15.0092683Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_fro_cpu_float16 PASSED [ 67%] 2022-11-23T02:00:15.0093081Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_inf_cpu_float32 PASSED [ 68%] 2022-11-23T02:00:15.0093514Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_inf_cpu_float64 PASSED [ 68%] 2022-11-23T02:00:15.0093920Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_nuc_cpu_float32 PASSED [ 68%] 2022-11-23T02:00:15.0094314Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_norm_nuc_cpu_float64 PASSED [ 68%] 2022-11-23T02:00:15.0094715Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_normal_number_mean_cpu_float16 PASSED [ 68%] 2022-11-23T02:00:15.0095140Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_normal_number_mean_cpu_float32 PASSED [ 68%] 2022-11-23T02:00:15.0095565Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_normal_number_mean_cpu_float64 PASSED [ 68%] 2022-11-23T02:00:15.0095980Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ones_cpu_float32 PASSED [ 68%] 2022-11-23T02:00:15.0096368Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ones_cpu_float64 PASSED [ 68%] 2022-11-23T02:00:15.0096768Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ones_cpu_int32 PASSED [ 68%] 2022-11-23T02:00:15.0097171Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ones_like_cpu_bool PASSED [ 68%] 2022-11-23T02:00:15.0097581Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ones_like_cpu_float64 PASSED [ 68%] 2022-11-23T02:00:15.0097981Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ones_like_cpu_int32 PASSED [ 68%] 2022-11-23T02:00:15.0098387Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ones_like_cpu_int64 PASSED [ 68%] 2022-11-23T02:00:15.0098909Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ormqr_cpu_float32 PASSED [ 69%] 2022-11-23T02:00:15.0099325Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ormqr_cpu_float64 PASSED [ 69%] 2022-11-23T02:00:15.0099715Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_outer_cpu_bool PASSED [ 69%] 2022-11-23T02:00:15.0100114Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_outer_cpu_float32 PASSED [ 69%] 2022-11-23T02:00:15.0100520Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_outer_cpu_float64 PASSED [ 69%] 2022-11-23T02:00:15.0100908Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_outer_cpu_int64 PASSED [ 69%] 2022-11-23T02:00:15.0101316Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_pca_lowrank_cpu_float64 PASSED [ 69%] 2022-11-23T02:00:15.0101726Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_permute_cpu_bool PASSED [ 69%] 2022-11-23T02:00:15.0102136Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_permute_cpu_float16 PASSED [ 69%] 2022-11-23T02:00:15.0102531Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_permute_cpu_float32 PASSED [ 69%] 2022-11-23T02:00:15.0102992Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_permute_cpu_float64 PASSED [ 69%] 2022-11-23T02:00:15.0103402Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_permute_cpu_int32 PASSED [ 69%] 2022-11-23T02:00:15.0103814Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_pinverse_cpu_float32 PASSED [ 69%] 2022-11-23T02:00:15.0104211Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_pinverse_cpu_float64 PASSED [ 69%] 2022-11-23T02:00:15.0104621Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polar_cpu_float32 PASSED [ 70%] 2022-11-23T02:00:15.0105085Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_0_cpu_float32 PASSED [ 70%] 2022-11-23T02:00:15.0105525Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_0_cpu_float64 PASSED [ 70%] 2022-11-23T02:00:15.0105952Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_1_cpu_bool PASSED [ 70%] 2022-11-23T02:00:15.0106388Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_1_cpu_float32 PASSED [ 70%] 2022-11-23T02:00:15.0106826Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_1_cpu_int32 PASSED [ 70%] 2022-11-23T02:00:15.0107261Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_1_cpu_int64 PASSED [ 70%] 2022-11-23T02:00:15.0107686Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_2_cpu_int64 PASSED [ 70%] 2022-11-23T02:00:15.0108114Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_3_cpu_bool PASSED [ 70%] 2022-11-23T02:00:15.0108547Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_3_cpu_int64 PASSED [ 70%] 2022-11-23T02:00:15.0108978Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_4_cpu_bool PASSED [ 70%] 2022-11-23T02:00:15.0109488Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_4_cpu_int32 PASSED [ 70%] 2022-11-23T02:00:15.0109920Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_polygamma_polygamma_n_4_cpu_int64 PASSED [ 70%] 2022-11-23T02:00:15.0110343Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_positive_cpu_float16 PASSED [ 70%] 2022-11-23T02:00:15.0110760Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_positive_cpu_int32 PASSED [ 71%] 2022-11-23T02:00:15.0111154Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_pow_cpu_float32 PASSED [ 71%] 2022-11-23T02:00:15.0111558Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_prod_cpu_bool PASSED [ 71%] 2022-11-23T02:00:15.0111962Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_prod_cpu_float64 PASSED [ 71%] 2022-11-23T02:00:15.0112367Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_prod_cpu_int64 PASSED [ 71%] 2022-11-23T02:00:15.0112754Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_put_cpu_bool PASSED [ 71%] 2022-11-23T02:00:15.0113159Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_put_cpu_float16 PASSED [ 71%] 2022-11-23T02:00:15.0113561Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_put_cpu_float32 PASSED [ 71%] 2022-11-23T02:00:15.0113946Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_qr_cpu_float64 PASSED [ 71%] 2022-11-23T02:00:15.0114412Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_quantile_cpu_float32 PASSED [ 71%] 2022-11-23T02:00:15.0114817Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rad2deg_cpu_bool PASSED [ 71%] 2022-11-23T02:00:15.0115227Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rad2deg_cpu_float16 PASSED [ 71%] 2022-11-23T02:00:15.0115627Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rand_like_cpu_float16 PASSED [ 71%] 2022-11-23T02:00:15.0116039Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rand_like_cpu_float32 PASSED [ 71%] 2022-11-23T02:00:15.0116479Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rand_like_cpu_float64 PASSED [ 72%] 2022-11-23T02:00:15.0116885Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_cpu_float16 PASSED [ 72%] 2022-11-23T02:00:15.0117283Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_cpu_float64 PASSED [ 72%] 2022-11-23T02:00:15.0117692Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_cpu_int32 PASSED [ 72%] 2022-11-23T02:00:15.0118107Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_like_cpu_float16 PASSED [ 72%] 2022-11-23T02:00:15.0118525Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randint_like_cpu_int32 PASSED [ 72%] 2022-11-23T02:00:15.0118924Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_randn_cpu_float32 PASSED [ 72%] 2022-11-23T02:00:15.0119326Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ravel_cpu_float32 PASSED [ 72%] 2022-11-23T02:00:15.0119730Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ravel_cpu_float64 PASSED [ 72%] 2022-11-23T02:00:15.0120132Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_ravel_cpu_int64 PASSED [ 72%] 2022-11-23T02:00:15.0120319Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_real_cpu_float16 PASSED [ 72%] 2022-11-23T02:00:15.0120517Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_real_cpu_float32 PASSED [ 72%] 2022-11-23T02:00:15.0120710Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_real_cpu_float64 PASSED [ 72%] 2022-11-23T02:00:15.0120901Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_real_cpu_int32 PASSED [ 72%] 2022-11-23T02:00:15.0121103Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reciprocal_cpu_float64 PASSED [ 73%] 2022-11-23T02:00:15.0121304Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reciprocal_cpu_int32 PASSED [ 73%] 2022-11-23T02:00:15.0121501Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reciprocal_cpu_int64 PASSED [ 73%] 2022-11-23T02:00:15.0121706Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_remainder_cpu_float16 PASSED [ 73%] 2022-11-23T02:00:15.0121907Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_renorm_cpu_float64 PASSED [ 73%] 2022-11-23T02:00:15.0122091Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_cpu_int64 PASSED [ 73%] 2022-11-23T02:00:15.0122301Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_interleave_cpu_bool PASSED [ 73%] 2022-11-23T02:00:15.0122512Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_interleave_cpu_float16 PASSED [ 73%] 2022-11-23T02:00:15.0122726Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_interleave_cpu_float32 PASSED [ 73%] 2022-11-23T02:00:15.0122934Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_interleave_cpu_int32 PASSED [ 73%] 2022-11-23T02:00:15.0123171Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_repeat_interleave_cpu_int64 PASSED [ 73%] 2022-11-23T02:00:15.0123372Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_as_cpu_bool PASSED [ 73%] 2022-11-23T02:00:15.0123573Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_as_cpu_float16 PASSED [ 73%] 2022-11-23T02:00:15.0123770Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_as_cpu_int64 PASSED [ 73%] 2022-11-23T02:00:15.0123965Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_cpu_bool PASSED [ 74%] 2022-11-23T02:00:15.0124180Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_cpu_float16 PASSED [ 74%] 2022-11-23T02:00:15.0124379Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_cpu_float64 PASSED [ 74%] 2022-11-23T02:00:15.0124577Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_reshape_cpu_int32 PASSED [ 74%] 2022-11-23T02:00:15.0124774Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize__cpu_bool PASSED [ 74%] 2022-11-23T02:00:15.0124973Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize__cpu_float64 PASSED [ 74%] 2022-11-23T02:00:15.0125167Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize__cpu_int32 PASSED [ 74%] 2022-11-23T02:00:15.0125369Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize_as__cpu_float32 PASSED [ 74%] 2022-11-23T02:00:15.0125569Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize_as__cpu_float64 PASSED [ 74%] 2022-11-23T02:00:15.0125770Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resize_as__cpu_int32 PASSED [ 74%] 2022-11-23T02:00:15.0125960Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_conj_cpu_bool PASSED [ 74%] 2022-11-23T02:00:15.0126167Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_resolve_neg_cpu_float16 PASSED [ 74%] 2022-11-23T02:00:15.0126363Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_roll_cpu_float16 PASSED [ 74%] 2022-11-23T02:00:15.0126556Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_roll_cpu_float32 PASSED [ 74%] 2022-11-23T02:00:15.0126750Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_roll_cpu_int32 PASSED [ 75%] 2022-11-23T02:00:15.0126947Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rot90_cpu_bool PASSED [ 75%] 2022-11-23T02:00:15.0127144Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rot90_cpu_float16 PASSED [ 75%] 2022-11-23T02:00:15.0127341Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rot90_cpu_float32 PASSED [ 75%] 2022-11-23T02:00:15.0127536Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_cpu_float64 PASSED [ 75%] 2022-11-23T02:00:15.0127730Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_cpu_int32 PASSED [ 75%] 2022-11-23T02:00:15.0127925Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_decimals_0_cpu_float32 PASSED [ 75%] 2022-11-23T02:00:15.0128134Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_decimals_3_cpu_float32 PASSED [ 75%] 2022-11-23T02:00:15.0128345Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_round_decimals_3_cpu_float64 PASSED [ 75%] 2022-11-23T02:00:15.0128539Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsqrt_cpu_bool PASSED [ 75%] 2022-11-23T02:00:15.0128761Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsqrt_cpu_float32 PASSED [ 75%] 2022-11-23T02:00:15.0128957Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsqrt_cpu_float64 PASSED [ 75%] 2022-11-23T02:00:15.0129153Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsqrt_cpu_int32 PASSED [ 75%] 2022-11-23T02:00:15.0129349Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsub_cpu_float16 PASSED [ 75%] 2022-11-23T02:00:15.0129543Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsub_cpu_float32 PASSED [ 76%] 2022-11-23T02:00:15.0129754Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsub_cpu_float64 PASSED [ 76%] 2022-11-23T02:00:15.0129946Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsub_cpu_int32 PASSED [ 76%] 2022-11-23T02:00:15.0130138Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_rsub_cpu_int64 PASSED [ 76%] 2022-11-23T02:00:15.0130342Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_add_cpu_float16 PASSED [ 76%] 2022-11-23T02:00:15.0130543Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_add_cpu_float32 PASSED [ 76%] 2022-11-23T02:00:15.0130751Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_add_cpu_float64 PASSED [ 76%] 2022-11-23T02:00:15.0130953Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_add_cpu_int32 PASSED [ 76%] 2022-11-23T02:00:15.0131150Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_cpu_bool PASSED [ 76%] 2022-11-23T02:00:15.0131348Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_cpu_float16 PASSED [ 76%] 2022-11-23T02:00:15.0131533Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_cpu_float32 PASSED [ 76%] 2022-11-23T02:00:15.0131730Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_cpu_int32 PASSED [ 76%] 2022-11-23T02:00:15.0131922Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_cpu_int64 PASSED [ 76%] 2022-11-23T02:00:15.0132128Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amax_cpu_bool PASSED [ 76%] 2022-11-23T02:00:15.0132338Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amax_cpu_float16 PASSED [ 77%] 2022-11-23T02:00:15.0132552Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amax_cpu_float64 PASSED [ 77%] 2022-11-23T02:00:15.0132758Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amax_cpu_int32 PASSED [ 77%] 2022-11-23T02:00:15.0132964Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amin_cpu_bool PASSED [ 77%] 2022-11-23T02:00:15.0133173Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amin_cpu_float16 PASSED [ 77%] 2022-11-23T02:00:15.0133377Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amin_cpu_int32 PASSED [ 77%] 2022-11-23T02:00:15.0133568Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_amin_cpu_int64 PASSED [ 77%] 2022-11-23T02:00:15.0133772Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_mean_cpu_int32 PASSED [ 77%] 2022-11-23T02:00:15.0133980Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_mean_cpu_int64 PASSED [ 77%] 2022-11-23T02:00:15.0134186Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_prod_cpu_bool PASSED [ 77%] 2022-11-23T02:00:15.0134419Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_sum_cpu_bool PASSED [ 77%] 2022-11-23T02:00:15.0134628Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_sum_cpu_float32 PASSED [ 77%] 2022-11-23T02:00:15.0134836Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_sum_cpu_float64 PASSED [ 77%] 2022-11-23T02:00:15.0135040Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_sum_cpu_int32 PASSED [ 77%] 2022-11-23T02:00:15.0135241Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_scatter_reduce_sum_cpu_int64 PASSED [ 78%] 2022-11-23T02:00:15.0135486Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_searchsorted_cpu_float16 PASSED [ 78%] 2022-11-23T02:00:15.0135682Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_searchsorted_cpu_float32 PASSED [ 78%] 2022-11-23T02:00:15.0135888Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_searchsorted_cpu_float64 PASSED [ 78%] 2022-11-23T02:00:15.0136089Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_searchsorted_cpu_int32 PASSED [ 78%] 2022-11-23T02:00:15.0136301Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_segment_reduce_lengths_cpu_float32 PASSED [ 78%] 2022-11-23T02:00:15.0136512Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_segment_reduce_lengths_cpu_float64 PASSED [ 78%] 2022-11-23T02:00:15.0136726Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_segment_reduce_offsets_cpu_float16 PASSED [ 78%] 2022-11-23T02:00:15.0136935Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_segment_reduce_offsets_cpu_float64 PASSED [ 78%] 2022-11-23T02:00:15.0137129Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_cpu_int32 PASSED [ 78%] 2022-11-23T02:00:15.0137325Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_cpu_int64 PASSED [ 78%] 2022-11-23T02:00:15.0137527Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_scatter_cpu_float16 PASSED [ 78%] 2022-11-23T02:00:15.0137718Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_scatter_cpu_float32 PASSED [ 78%] 2022-11-23T02:00:15.0137919Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_scatter_cpu_float64 PASSED [ 78%] 2022-11-23T02:00:15.0138123Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_scatter_cpu_int32 PASSED [ 79%] 2022-11-23T02:00:15.0138320Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_select_scatter_cpu_int64 PASSED [ 79%] 2022-11-23T02:00:15.0138513Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sgn_cpu_bool PASSED [ 79%] 2022-11-23T02:00:15.0138706Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sgn_cpu_int32 PASSED [ 79%] 2022-11-23T02:00:15.0139011Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sgn_cpu_int64 PASSED [ 79%] 2022-11-23T02:00:15.0139209Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_short_cpu_float16 PASSED [ 79%] 2022-11-23T02:00:15.0139402Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_short_cpu_int64 PASSED [ 79%] 2022-11-23T02:00:15.0139585Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sigmoid_cpu_bool PASSED [ 79%] 2022-11-23T02:00:15.0139784Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sigmoid_cpu_float32 PASSED [ 79%] 2022-11-23T02:00:15.0140026Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sigmoid_cpu_float64 PASSED [ 79%] 2022-11-23T02:00:15.0140222Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sigmoid_cpu_int32 PASSED [ 79%] 2022-11-23T02:00:15.0140415Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sigmoid_cpu_int64 PASSED [ 79%] 2022-11-23T02:00:15.0140607Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sign_cpu_bool PASSED [ 79%] 2022-11-23T02:00:15.0140798Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sign_cpu_float16 PASSED [ 79%] 2022-11-23T02:00:15.0140991Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sign_cpu_float32 PASSED [ 80%] 2022-11-23T02:00:15.0141239Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sign_cpu_float64 PASSED [ 80%] 2022-11-23T02:00:15.0141429Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sign_cpu_int32 PASSED [ 80%] 2022-11-23T02:00:15.0141610Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sign_cpu_int64 PASSED [ 80%] 2022-11-23T02:00:15.0141821Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_cosine_cpu_float16 PASSED [ 80%] 2022-11-23T02:00:15.0142031Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_cosine_cpu_float64 PASSED [ 80%] 2022-11-23T02:00:15.0142250Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_exponential_cpu_float64 PASSED [ 80%] 2022-11-23T02:00:15.0142467Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_gaussian_cpu_float16 PASSED [ 80%] 2022-11-23T02:00:15.0142679Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_gaussian_cpu_float64 PASSED [ 80%] 2022-11-23T02:00:15.0142891Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_kaiser_cpu_float32 PASSED [ 80%] 2022-11-23T02:00:15.0143102Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signal_windows_kaiser_cpu_float64 PASSED [ 80%] 2022-11-23T02:00:15.0143296Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signbit_cpu_bool PASSED [ 80%] 2022-11-23T02:00:15.0143479Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_signbit_cpu_int64 PASSED [ 80%] 2022-11-23T02:00:15.0143672Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sin_cpu_bool PASSED [ 80%] 2022-11-23T02:00:15.0143866Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sin_cpu_float64 PASSED [ 81%] 2022-11-23T02:00:15.0144055Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sin_cpu_int32 PASSED [ 81%] 2022-11-23T02:00:15.0144247Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinc_cpu_float32 PASSED [ 81%] 2022-11-23T02:00:15.0144437Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinc_cpu_int32 PASSED [ 81%] 2022-11-23T02:00:15.0144627Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinc_cpu_int64 PASSED [ 81%] 2022-11-23T02:00:15.0144818Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinh_cpu_float64 PASSED [ 81%] 2022-11-23T02:00:15.0145008Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinh_cpu_int32 PASSED [ 81%] 2022-11-23T02:00:15.0145196Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sinh_cpu_int64 PASSED [ 81%] 2022-11-23T02:00:15.0145379Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_cpu_float32 PASSED [ 81%] 2022-11-23T02:00:15.0145572Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_cpu_int32 PASSED [ 81%] 2022-11-23T02:00:15.0145792Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_cpu_int64 PASSED [ 81%] 2022-11-23T02:00:15.0145998Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_scatter_cpu_float64 PASSED [ 81%] 2022-11-23T02:00:15.0146197Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_slice_scatter_cpu_int64 PASSED [ 81%] 2022-11-23T02:00:15.0146401Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_softmax_with_dtype_cpu_bool PASSED [ 81%] 2022-11-23T02:00:15.0146608Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_softmax_with_dtype_cpu_float16 PASSED [ 82%] 2022-11-23T02:00:15.0146862Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_softmax_with_dtype_cpu_float32 PASSED [ 82%] 2022-11-23T02:00:15.0147057Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sort_cpu_float16 PASSED [ 82%] 2022-11-23T02:00:15.0147237Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_sort_cpu_float32 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inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j0_cpu_bool PASSED [ 82%] 2022-11-23T02:00:15.0148857Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j0_cpu_float32 PASSED [ 82%] 2022-11-23T02:00:15.0149133Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j0_cpu_float64 PASSED [ 82%] 2022-11-23T02:00:15.0149329Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j0_cpu_int32 PASSED [ 82%] 2022-11-23T02:00:15.0149539Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j0_cpu_int64 PASSED [ 83%] 2022-11-23T02:00:15.0149741Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j1_cpu_bool PASSED [ 83%] 2022-11-23T02:00:15.0149953Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j1_cpu_float32 PASSED [ 83%] 2022-11-23T02:00:15.0150156Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_j1_cpu_int32 PASSED [ 83%] 2022-11-23T02:00:15.0150357Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y0_cpu_bool PASSED [ 83%] 2022-11-23T02:00:15.0150558Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y0_cpu_float64 PASSED [ 83%] 2022-11-23T02:00:15.0150760Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y0_cpu_int32 PASSED [ 83%] 2022-11-23T02:00:15.0150963Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y0_cpu_int64 PASSED [ 83%] 2022-11-23T02:00:15.0151172Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y1_cpu_bool PASSED [ 83%] 2022-11-23T02:00:15.0151405Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y1_cpu_float32 PASSED [ 83%] 2022-11-23T02:00:15.0151608Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y1_cpu_float64 PASSED [ 83%] 2022-11-23T02:00:15.0151838Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_bessel_y1_cpu_int64 PASSED [ 83%] 2022-11-23T02:00:15.0152159Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_t_cpu_int64 PASSED [ 83%] 2022-11-23T02:00:15.0152400Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_u_cpu_bool PASSED [ 84%] 2022-11-23T02:00:15.0152667Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_u_cpu_float32 PASSED [ 84%] 2022-11-23T02:00:15.0152890Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_u_cpu_int32 PASSED [ 84%] 2022-11-23T02:00:15.0153434Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_v_cpu_float32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 84%] 2022-11-23T02:00:15.0153867Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_v_cpu_int64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 84%] 2022-11-23T02:00:15.0154334Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_chebyshev_polynomial_w_cpu_bool SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 84%] 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2022-11-23T02:00:15.0157159Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_erfcx_cpu_float32 PASSED [ 84%] 2022-11-23T02:00:15.0157508Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_hermite_polynomial_h_cpu_float64 PASSED [ 84%] 2022-11-23T02:00:15.0157842Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_hermite_polynomial_h_cpu_int64 PASSED [ 84%] 2022-11-23T02:00:15.0158175Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_hermite_polynomial_he_cpu_bool PASSED [ 85%] 2022-11-23T02:00:15.0158434Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_hermite_polynomial_he_cpu_float32 PASSED [ 85%] 2022-11-23T02:00:15.0158733Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_hermite_polynomial_he_cpu_int32 PASSED [ 85%] 2022-11-23T02:00:15.0159011Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_hermite_polynomial_he_cpu_int64 PASSED [ 85%] 2022-11-23T02:00:15.0159294Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i0e_cpu_bool PASSED [ 85%] 2022-11-23T02:00:15.0159611Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i0e_cpu_float64 PASSED [ 85%] 2022-11-23T02:00:15.0159920Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i0e_cpu_int32 PASSED [ 85%] 2022-11-23T02:00:15.0160218Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1_cpu_float32 PASSED [ 85%] 2022-11-23T02:00:15.0160477Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1_cpu_float64 PASSED [ 85%] 2022-11-23T02:00:15.0160677Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1_cpu_int32 PASSED [ 85%] 2022-11-23T02:00:15.0160920Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1_cpu_int64 PASSED [ 85%] 2022-11-23T02:00:15.0161122Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1e_cpu_float64 PASSED [ 85%] 2022-11-23T02:00:15.0161322Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_i1e_cpu_int64 PASSED [ 85%] 2022-11-23T02:00:15.0161545Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_laguerre_polynomial_l_cpu_bool PASSED [ 85%] 2022-11-23T02:00:15.0161753Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_laguerre_polynomial_l_cpu_int32 PASSED [ 86%] 2022-11-23T02:00:15.0162207Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_legendre_polynomial_p_cpu_bool SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 86%] 2022-11-23T02:00:15.0162621Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_legendre_polynomial_p_cpu_int32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 86%] 2022-11-23T02:00:15.0163027Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_legendre_polynomial_p_cpu_int64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 86%] 2022-11-23T02:00:15.0163237Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_log_ndtr_cpu_float32 PASSED [ 86%] 2022-11-23T02:00:15.0163444Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_log_ndtr_cpu_float64 PASSED [ 86%] 2022-11-23T02:00:15.0163648Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_log_ndtr_cpu_int32 PASSED [ 86%] 2022-11-23T02:00:15.0163853Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_log_ndtr_cpu_int64 PASSED [ 86%] 2022-11-23T02:00:15.0164068Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i0_cpu_float64 PASSED [ 86%] 2022-11-23T02:00:15.0164282Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i0_cpu_int32 PASSED [ 86%] 2022-11-23T02:00:15.0164494Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i1_cpu_bool PASSED [ 86%] 2022-11-23T02:00:15.0164693Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i1_cpu_float64 PASSED [ 86%] 2022-11-23T02:00:15.0164907Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_i1_cpu_int64 PASSED [ 86%] 2022-11-23T02:00:15.0165120Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k0_cpu_float32 PASSED [ 86%] 2022-11-23T02:00:15.0165329Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k0_cpu_float64 PASSED [ 87%] 2022-11-23T02:00:15.0165542Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k0_cpu_int32 PASSED [ 87%] 2022-11-23T02:00:15.0165787Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k0_cpu_int64 PASSED [ 87%] 2022-11-23T02:00:15.0166005Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k1_cpu_bool PASSED [ 87%] 2022-11-23T02:00:15.0166216Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_modified_bessel_k1_cpu_int32 PASSED [ 87%] 2022-11-23T02:00:15.0166419Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtr_cpu_float32 PASSED [ 87%] 2022-11-23T02:00:15.0166618Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtr_cpu_float64 PASSED [ 87%] 2022-11-23T02:00:15.0166836Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtr_cpu_int32 PASSED [ 87%] 2022-11-23T02:00:15.0167031Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtr_cpu_int64 PASSED [ 87%] 2022-11-23T02:00:15.0167228Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtri_cpu_bool PASSED [ 87%] 2022-11-23T02:00:15.0167433Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_ndtri_cpu_float64 PASSED [ 87%] 2022-11-23T02:00:15.0167666Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_float64 PASSED [ 87%] 2022-11-23T02:00:15.0167896Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_int32 PASSED [ 87%] 2022-11-23T02:00:15.0168118Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k0_cpu_bool PASSED [ 87%] 2022-11-23T02:00:15.0168347Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k0_cpu_float32 PASSED [ 88%] 2022-11-23T02:00:15.0168570Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k0_cpu_int32 PASSED [ 88%] 2022-11-23T02:00:15.0168790Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_scaled_modified_bessel_k1_cpu_bool PASSED [ 88%] 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inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_shifted_chebyshev_polynomial_w_cpu_int32 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 88%] 2022-11-23T02:00:15.0172691Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_spherical_bessel_j0_cpu_float64 PASSED [ 88%] 2022-11-23T02:00:15.0172910Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_spherical_bessel_j0_cpu_int32 PASSED [ 89%] 2022-11-23T02:00:15.0173145Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_xlog1py_cpu_int64 PASSED [ 89%] 2022-11-23T02:00:15.0173333Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_zeta_cpu_bool PASSED [ 89%] 2022-11-23T02:00:15.0173538Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_special_zeta_cpu_float32 PASSED [ 89%] 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2022-11-23T02:00:15.0195573Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_consecutive_cpu_float64 PASSED [ 97%] 2022-11-23T02:00:15.0195782Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_consecutive_cpu_int32 PASSED [ 97%] 2022-11-23T02:00:15.0196013Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_consecutive_cpu_int64 PASSED [ 97%] 2022-11-23T02:00:15.0196207Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_cpu_float32 PASSED [ 97%] 2022-11-23T02:00:15.0196402Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_cpu_int32 PASSED [ 97%] 2022-11-23T02:00:15.0196595Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unique_cpu_int64 PASSED [ 97%] 2022-11-23T02:00:15.0196790Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_cpu_bool PASSED [ 97%] 2022-11-23T02:00:15.0196990Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_cpu_float16 PASSED [ 97%] 2022-11-23T02:00:15.0197190Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_unsqueeze_cpu_float32 PASSED [ 97%] 2022-11-23T02:00:15.0197383Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_var_cpu_float64 PASSED [ 97%] 2022-11-23T02:00:15.0197576Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vdot_cpu_float32 PASSED [ 97%] 2022-11-23T02:00:15.0197758Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vdot_cpu_float64 PASSED [ 97%] 2022-11-23T02:00:15.0197965Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_complex_cpu_float32 PASSED [ 97%] 2022-11-23T02:00:15.0198154Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_cpu_bool PASSED [ 98%] 2022-11-23T02:00:15.0198353Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_cpu_float32 PASSED [ 98%] 2022-11-23T02:00:15.0198546Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_as_cpu_int32 PASSED [ 98%] 2022-11-23T02:00:15.0198745Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_float16 PASSED [ 98%] 2022-11-23T02:00:15.0198942Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_float32 PASSED [ 98%] 2022-11-23T02:00:15.0199136Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_copy_cpu_float64 PASSED [ 98%] 2022-11-23T02:00:15.0199329Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_bool PASSED [ 98%] 2022-11-23T02:00:15.0199518Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_view_cpu_int64 PASSED [ 98%] 2022-11-23T02:00:15.0199700Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_bool PASSED [ 98%] 2022-11-23T02:00:15.0199896Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_float16 PASSED [ 98%] 2022-11-23T02:00:15.0200094Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_float32 PASSED [ 98%] 2022-11-23T02:00:15.0200287Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vsplit_cpu_int64 PASSED [ 98%] 2022-11-23T02:00:15.0200481Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_bool PASSED [ 98%] 2022-11-23T02:00:15.0200714Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_float16 PASSED [ 98%] 2022-11-23T02:00:15.0200907Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_vstack_cpu_int64 PASSED [ 99%] 2022-11-23T02:00:15.0201101Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_float16 PASSED [ 99%] 2022-11-23T02:00:15.0201295Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_float32 PASSED [ 99%] 2022-11-23T02:00:15.0201476Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_where_cpu_int64 PASSED [ 99%] 2022-11-23T02:00:15.0201695Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_bool PASSED [ 99%] 2022-11-23T02:00:15.0201890Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_float16 PASSED [ 99%] 2022-11-23T02:00:15.0202086Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_xlogy_cpu_float32 PASSED [ 99%] 2022-11-23T02:00:15.0202279Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zero__cpu_float16 PASSED [ 99%] 2022-11-23T02:00:15.0202469Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_cpu_bool PASSED [ 99%] 2022-11-23T02:00:15.0202662Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_cpu_int32 PASSED [ 99%] 2022-11-23T02:00:15.0202863Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_float16 PASSED [ 99%] 2022-11-23T02:00:15.0203061Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_float64 PASSED [ 99%] 2022-11-23T02:00:15.0203247Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_int32 PASSED [ 99%] 2022-11-23T02:00:15.0203930Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_zeros_like_cpu_int64 PASSED [100%]/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py:0: PytestCollectionWarning: cannot collect test class 'TestExpect' because it has a __new__ constructor (from: test/inductor/test_torchinductor_opinfo.py) 2022-11-23T02:00:15.0203960Z 2022-11-23T02:00:15.0203965Z 2022-11-23T02:00:15.0204067Z =============================== warnings summary =============================== 2022-11-23T02:00:15.0204286Z ../../../../../opt/conda/lib/python3.7/site-packages/_pytest/config/__init__.py:1171 2022-11-23T02:00:15.0204644Z /opt/conda/lib/python3.7/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis 2022-11-23T02:00:15.0204748Z self._mark_plugins_for_rewrite(hook) 2022-11-23T02:00:15.0204753Z 2022-11-23T02:00:15.0204994Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html 2022-11-23T02:00:15.0205386Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-3a1927ef7991eb33.xml - 2022-11-23T02:00:15.0205521Z ==== 1361 passed, 33 skipped, 2 deselected, 1 warning in 994.74s (0:16:34) ===== 2022-11-23T02:00:15.0205691Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them 2022-11-23T02:00:15.0205697Z 2022-11-23T02:00:15.0206028Z ##[endgroup] 2022-11-23T02:00:15.0206379Z FINISHED PRINTING LOG FILE of inductor/test_torchinductor_opinfo (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_opinfo_0rxhttx1) 2022-11-23T02:00:15.0206388Z 2022-11-23T02:00:15.3379717Z Executing ['/opt/conda/bin/python', '-bb', 'inductor/test_torchinductor_opinfo.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '-k=_linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:00:15.337463] 2022-11-23T02:00:25.5946806Z 2022-11-23T02:00:25.5948237Z Expand the folded group to see the log file of inductor/test_torchinductor_opinfo 2022-11-23T02:00:25.5949593Z ##[group]PRINTING LOG FILE of inductor/test_torchinductor_opinfo (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_opinfo_h2nvgoz5) 2022-11-23T02:00:25.5950414Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T02:00:25.5951267Z Test results will be stored in test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-65e37807b02348be.xml 2022-11-23T02:00:25.5951879Z ============================= test session starts ============================== 2022-11-23T02:00:25.5952659Z platform linux -- Python 3.7.13, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python 2022-11-23T02:00:25.5953094Z cachedir: .pytest_cache 2022-11-23T02:00:25.5953758Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2022-11-23T02:00:25.5954403Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini 2022-11-23T02:00:25.5955139Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2 2022-11-23T02:00:25.5955722Z collecting ... collected 2709 items / 2705 deselected / 4 selected 2022-11-23T02:00:25.5957077Z Running 4 items in this shard: test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cholesky_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cholesky_cpu_float64, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cholesky_ex_cpu_float32, test/inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cholesky_ex_cpu_float64 2022-11-23T02:00:25.5958057Z 2022-11-23T02:00:25.5958414Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cholesky_cpu_float32 PASSED [ 25%] 2022-11-23T02:00:25.5959134Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cholesky_cpu_float64 PASSED [ 50%] 2022-11-23T02:00:25.5959839Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cholesky_ex_cpu_float32 PASSED [ 75%] 2022-11-23T02:00:25.5961356Z inductor/test_torchinductor_opinfo.py::TestInductorOpInfoCPU::test_comprehensive_linalg_cholesky_ex_cpu_float64 PASSED [100%]/var/lib/jenkins/workspace/test/inductor/test_torchinductor_opinfo.py:0: PytestCollectionWarning: cannot collect test class 'TestExpect' because it has a __new__ constructor (from: test/inductor/test_torchinductor_opinfo.py) 2022-11-23T02:00:25.5962146Z 2022-11-23T02:00:25.5962156Z 2022-11-23T02:00:25.5962345Z =============================== warnings summary =============================== 2022-11-23T02:00:25.5962998Z ../../../../../opt/conda/lib/python3.7/site-packages/_pytest/config/__init__.py:1171 2022-11-23T02:00:25.5963918Z /opt/conda/lib/python3.7/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis 2022-11-23T02:00:25.5964490Z self._mark_plugins_for_rewrite(hook) 2022-11-23T02:00:25.5964704Z 2022-11-23T02:00:25.5965086Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html 2022-11-23T02:00:25.5965994Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-65e37807b02348be.xml - 2022-11-23T02:00:25.5966645Z ================ 4 passed, 2705 deselected, 1 warning in 0.88s ================= 2022-11-23T02:00:25.5967187Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them 2022-11-23T02:00:25.5967502Z 2022-11-23T02:00:25.5967928Z ##[endgroup] 2022-11-23T02:00:25.5968582Z FINISHED PRINTING LOG FILE of inductor/test_torchinductor_opinfo (/var/lib/jenkins/workspace/test/test-reports/inductor-test_torchinductor_opinfo_h2nvgoz5) 2022-11-23T02:00:25.5968924Z 2022-11-23T02:00:25.5969302Z Running test_ops_gradients ... [2022-11-23 02:00:25.595767] 2022-11-23T02:00:27.0937582Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T02:00:27.0948538Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T02:00:27.2191253Z Ignoring disabled issues: [] 2022-11-23T02:00:27.2343900Z Ignoring disabled issues: [] 2022-11-23T02:00:27.2373705Z Executing ['/opt/conda/bin/python', '-bb', 'test_ops_gradients.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '--shard-id=0', '--num-shards=2', '-k=not _linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:00:27.237022] 2022-11-23T02:00:27.2526227Z Executing ['/opt/conda/bin/python', '-bb', 'test_ops_gradients.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '--shard-id=1', '--num-shards=2', '-k=not _linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:00:27.252248] 2022-11-23T02:04:29.3506974Z 2022-11-23T02:04:29.3507526Z Expand the folded group to see the log file of test_ops_gradients 2022-11-23T02:04:29.3510520Z ##[group]PRINTING LOG FILE of test_ops_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_gradients_luyhmach) 2022-11-23T02:04:29.3514897Z Test results will be stored in test-reports/python-pytest/test_ops_gradients/test_ops_gradients-0030d15ed559b4f3.xml 2022-11-23T02:04:29.3515419Z ============================= test session starts ============================== 2022-11-23T02:04:29.3515974Z platform linux -- Python 3.7.13, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python 2022-11-23T02:04:29.3516365Z cachedir: .pytest_cache 2022-11-23T02:04:29.3516941Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2022-11-23T02:04:29.3517486Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini 2022-11-23T02:04:29.3518386Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2 2022-11-23T02:04:29.3540165Z collecting ... collected 4845 items / 12 deselected / 4833 selected 2022-11-23T02:04:29.3827584Z Running 2372 items in this shard: test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_H_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_T_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___getitem___cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___radd___cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rdiv___cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rmatmul___cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rmul___cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rsub___cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_abs_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_acos_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_acosh_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_add_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addbmm_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addcdiv_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addcdiv_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addcmul_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addcmul_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addmm_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addmm_decomposed_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addmm_decomposed_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addr_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_allclose_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_aminmax_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_angle_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_any_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_any_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_arange_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_argmax_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_argwhere_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_as_strided_scatter_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_as_strided_scatter_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_asinh_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_atan_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_atan_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_atanh_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_atanh_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_atleast_1d_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_atleast_1d_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_atleast_2d_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_atleast_3d_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_atleast_3d_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_baddbmm_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_baddbmm_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_bfloat16_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_block_diag_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_block_diag_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_bmm_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_bool_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_broadcast_tensors_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_broadcast_tensors_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_broadcast_to_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_bucketize_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_byte_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cartesian_prod_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cfloat_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cfloat_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_chalf_cpu_complex128, 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test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_reshape_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_resize__cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_resolve_conj_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_roll_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_rot90_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_rot90_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_round_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_round_decimals_3_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_round_decimals_neg_3_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_rsub_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_scalar_tensor_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_scatter_add_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_scatter_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_scatter_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_scatter_reduce_mean_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_searchsorted_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_segment_reduce_lengths_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_segment_reduce_offsets_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_select_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sgn_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sgn_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_short_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sign_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_signal_windows_cosine_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_signal_windows_exponential_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_signal_windows_kaiser_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sin_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sinc_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sinh_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_slice_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_slice_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_slice_scatter_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_softmax_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sparse_sampled_addmm_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_bessel_j0_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_bessel_y1_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_chebyshev_polynomial_t_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_erfcx_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_i1_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_laguerre_polynomial_l_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_log_ndtr_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_modified_bessel_i1_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_modified_bessel_k0_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_polygamma_special_polygamma_n_0_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_scaled_modified_bessel_k1_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_shifted_chebyshev_polynomial_t_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_shifted_chebyshev_polynomial_w_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_split_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_split_list_args_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_square_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_stack_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_stack_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_std_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_std_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_std_mean_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_stft_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_stft_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sub_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sum_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sum_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sum_to_size_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sum_to_size_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_svd_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_symeig_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_symeig_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_take_along_dim_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_take_along_dim_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_take_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_take_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tan_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tanh_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tensor_split_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tensordot_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tensordot_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tile_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tile_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_to_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_topk_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trace_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trace_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trapezoid_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trapezoid_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trapz_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trapz_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_triangular_solve_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_triu_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_triu_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_true_divide_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trunc_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unfold_copy_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unfold_copy_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unfold_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_uniform_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_uniform_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unique_consecutive_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unique_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_var_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_as_real_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_vsplit_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_vstack_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_xlogy_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zero__cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zeros_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zeros_like_cpu_float64 2022-11-23T02:04:29.4068434Z 2022-11-23T02:04:29.4068717Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_H_cpu_complex128 SKIPPED (Skipped! 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Operation does support gradgrad) [ 19%] 2022-11-23T02:04:29.4300059Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_true_divide_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 19%] 2022-11-23T02:04:29.4300527Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_unbind_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 19%] 2022-11-23T02:04:29.4301022Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_unflatten_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 19%] 2022-11-23T02:04:29.4301495Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_unfold_copy_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 19%] 2022-11-23T02:04:29.4302015Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_unfold_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 19%] 2022-11-23T02:04:29.4302619Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_unique_consecutive_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 19%] 2022-11-23T02:04:29.4303207Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_unique_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 19%] 2022-11-23T02:04:29.4303669Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_var_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 19%] 2022-11-23T02:04:29.4304125Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_var_mean_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 19%] 2022-11-23T02:04:29.4304587Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_vdot_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 19%] 2022-11-23T02:04:29.4305039Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_vdot_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 20%] 2022-11-23T02:04:29.4305485Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_view_as_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 20%] 2022-11-23T02:04:29.4305943Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_view_as_real_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 20%] 2022-11-23T02:04:29.4306411Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_vstack_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 20%] 2022-11-23T02:04:29.4306869Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_where_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 20%] 2022-11-23T02:04:29.4307315Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_xlogy_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 20%] 2022-11-23T02:04:29.4307892Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_zeros_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 20%] 2022-11-23T02:04:29.4308486Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_zeros_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 20%] 2022-11-23T02:04:29.4308897Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_H_cpu_complex128 PASSED [ 20%] 2022-11-23T02:04:29.4329000Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_T_cpu_complex128 PASSED [ 20%] 2022-11-23T02:04:29.4329361Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_T_cpu_float64 PASSED [ 20%] 2022-11-23T02:04:29.4329732Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad___getitem___cpu_complex128 PASSED [ 20%] 2022-11-23T02:04:29.4330113Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad___radd___cpu_complex128 PASSED [ 20%] 2022-11-23T02:04:29.4330475Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad___radd___cpu_float64 PASSED [ 20%] 2022-11-23T02:04:29.4330818Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad___rdiv___cpu_complex128 PASSED [ 20%] 2022-11-23T02:04:29.4331305Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad___rdiv___cpu_float64 PASSED [ 20%] 2022-11-23T02:04:29.4331657Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad___rmod___cpu_float64 PASSED [ 20%] 2022-11-23T02:04:29.4332007Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad___rmul___cpu_complex128 PASSED [ 20%] 2022-11-23T02:04:29.4332348Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad___rmul___cpu_float64 PASSED [ 20%] 2022-11-23T02:04:29.4332716Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad___rpow___cpu_complex128 SKIPPED (Skipped!) [ 20%] 2022-11-23T02:04:29.4333139Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad___rpow___cpu_float64 SKIPPED (Skipped!) [ 20%] 2022-11-23T02:04:29.4333511Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad__softmax_backward_data_cpu_float64 PASSED [ 20%] 2022-11-23T02:04:29.4333880Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_abs_cpu_float64 PASSED [ 20%] 2022-11-23T02:04:29.4334235Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_acosh_cpu_float64 PASSED [ 20%] 2022-11-23T02:04:29.4334611Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_add_cpu_float64 PASSED [ 21%] 2022-11-23T02:04:29.4334952Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_addbmm_cpu_complex128 PASSED [ 21%] 2022-11-23T02:04:29.4335318Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_addcmul_cpu_complex128 PASSED [ 21%] 2022-11-23T02:04:29.4335678Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_addmv_cpu_complex128 PASSED [ 21%] 2022-11-23T02:04:29.4336029Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_addr_cpu_float64 PASSED [ 21%] 2022-11-23T02:04:29.4336430Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_all_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 21%] 2022-11-23T02:04:29.4336893Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_all_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 21%] 2022-11-23T02:04:29.4337361Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_allclose_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 21%] 2022-11-23T02:04:29.4337766Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_amax_cpu_float64 PASSED [ 21%] 2022-11-23T02:04:29.4338163Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_aminmax_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 21%] 2022-11-23T02:04:29.4338621Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_any_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 21%] 2022-11-23T02:04:29.4339218Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_argmax_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 21%] 2022-11-23T02:04:29.4339682Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_argsort_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 21%] 2022-11-23T02:04:29.4340104Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_as_strided_cpu_float64 SKIPPED (Numerous errors) [ 21%] 2022-11-23T02:04:29.4340480Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_asin_cpu_complex128 PASSED [ 21%] 2022-11-23T02:04:29.4340836Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_asinh_cpu_float64 PASSED [ 21%] 2022-11-23T02:04:29.4341174Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_atanh_cpu_float64 PASSED [ 21%] 2022-11-23T02:04:29.4341532Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_atleast_1d_cpu_complex128 PASSED [ 21%] 2022-11-23T02:04:29.4341904Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_atleast_2d_cpu_complex128 PASSED [ 21%] 2022-11-23T02:04:29.4342271Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_atleast_2d_cpu_float64 PASSED [ 21%] 2022-11-23T02:04:29.4342613Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_atleast_3d_cpu_float64 PASSED [ 21%] 2022-11-23T02:04:29.4343023Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_baddbmm_cpu_float64 PASSED [ 21%] 2022-11-23T02:04:29.4343380Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_bernoulli_cpu_float64 PASSED [ 21%] 2022-11-23T02:04:29.4343732Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_bfloat16_cpu_float64 XFAIL [ 22%] 2022-11-23T02:04:29.4344076Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_block_diag_cpu_complex128 PASSED [ 22%] 2022-11-23T02:04:29.4344437Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_block_diag_cpu_float64 PASSED [ 22%] 2022-11-23T02:04:29.4344798Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_broadcast_tensors_cpu_complex128 PASSED [ 22%] 2022-11-23T02:04:29.4345220Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_broadcast_tensors_cpu_float64 PASSED [ 22%] 2022-11-23T02:04:29.4345588Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_broadcast_to_cpu_float64 PASSED [ 22%] 2022-11-23T02:04:29.4345996Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_bucketize_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 22%] 2022-11-23T02:04:29.4346459Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_byte_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 22%] 2022-11-23T02:04:29.4346872Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cartesian_prod_cpu_complex128 PASSED [ 22%] 2022-11-23T02:04:29.4347236Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cdist_cpu_float64 PASSED [ 22%] 2022-11-23T02:04:29.4347575Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cdouble_cpu_complex128 PASSED [ 22%] 2022-11-23T02:04:29.4347935Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cdouble_cpu_float64 PASSED [ 22%] 2022-11-23T02:04:29.4348286Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_ceil_cpu_float64 PASSED [ 22%] 2022-11-23T02:04:29.4348622Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_chalf_cpu_complex128 XFAIL [ 22%] 2022-11-23T02:04:29.4348989Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cholesky_inverse_cpu_complex128 PASSED [ 22%] 2022-11-23T02:04:29.4349439Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cholesky_solve_cpu_float64 PASSED [ 22%] 2022-11-23T02:04:29.4349796Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_chunk_cpu_float64 PASSED [ 22%] 2022-11-23T02:04:29.4350130Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_clamp_cpu_float64 PASSED [ 22%] 2022-11-23T02:04:29.4350481Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_clone_cpu_complex128 PASSED [ 22%] 2022-11-23T02:04:29.4350831Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_clone_cpu_float64 PASSED [ 22%] 2022-11-23T02:04:29.4351182Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_combinations_cpu_complex128 PASSED [ 22%] 2022-11-23T02:04:29.4351556Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_combinations_cpu_float64 PASSED [ 22%] 2022-11-23T02:04:29.4351916Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_conj_cpu_complex128 PASSED [ 22%] 2022-11-23T02:04:29.4352265Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_conj_cpu_float64 PASSED [ 22%] 2022-11-23T02:04:29.4352609Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_conj_physical_cpu_float64 PASSED [ 23%] 2022-11-23T02:04:29.4352980Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_constant_pad_nd_cpu_float64 PASSED [ 23%] 2022-11-23T02:04:29.4353353Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_contiguous_cpu_complex128 PASSED [ 23%] 2022-11-23T02:04:29.4353722Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_contiguous_cpu_float64 PASSED [ 23%] 2022-11-23T02:04:29.4354068Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_copysign_cpu_float64 PASSED [ 23%] 2022-11-23T02:04:29.4354426Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_corrcoef_cpu_float64 PASSED [ 23%] 2022-11-23T02:04:29.4354809Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cos_cpu_complex128 PASSED [ 23%] 2022-11-23T02:04:29.4355146Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cos_cpu_float64 PASSED [ 23%] 2022-11-23T02:04:29.4355490Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cosh_cpu_float64 PASSED [ 23%] 2022-11-23T02:04:29.4355912Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_count_nonzero_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 23%] 2022-11-23T02:04:29.4356320Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cov_cpu_complex128 XFAIL [ 23%] 2022-11-23T02:04:29.4356654Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cross_cpu_float64 PASSED [ 23%] 2022-11-23T02:04:29.4357033Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cummax_cpu_float64 PASSED [ 23%] 2022-11-23T02:04:29.4357388Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cumprod_cpu_float64 PASSED [ 23%] 2022-11-23T02:04:29.4357730Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cumsum_cpu_complex128 PASSED [ 23%] 2022-11-23T02:04:29.4358105Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cumulative_trapezoid_cpu_float64 PASSED [ 23%] 2022-11-23T02:04:29.4358474Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_deg2rad_cpu_float64 PASSED [ 23%] 2022-11-23T02:04:29.4358826Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_diag_cpu_complex128 PASSED [ 23%] 2022-11-23T02:04:29.4359160Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_diag_cpu_float64 PASSED [ 23%] 2022-11-23T02:04:29.4359515Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_diag_embed_cpu_complex128 PASSED [ 23%] 2022-11-23T02:04:29.4359884Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_diagflat_cpu_complex128 PASSED [ 23%] 2022-11-23T02:04:29.4360251Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_diagflat_cpu_float64 PASSED [ 23%] 2022-11-23T02:04:29.4360601Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_diagonal_copy_cpu_complex128 PASSED [ 23%] 2022-11-23T02:04:29.4360969Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_diagonal_cpu_complex128 PASSED [ 23%] 2022-11-23T02:04:29.4361322Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_diff_cpu_float64 PASSED [ 24%] 2022-11-23T02:04:29.4361656Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_digamma_cpu_float64 PASSED [ 24%] 2022-11-23T02:04:29.4362025Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_div_no_rounding_mode_cpu_complex128 PASSED [ 24%] 2022-11-23T02:04:29.4362403Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_div_trunc_rounding_cpu_float64 PASSED [ 24%] 2022-11-23T02:04:29.4362762Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_double_cpu_complex128 PASSED [ 24%] 2022-11-23T02:04:29.4363105Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_double_cpu_float64 PASSED [ 24%] 2022-11-23T02:04:29.4363458Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_dsplit_cpu_complex128 PASSED [ 24%] 2022-11-23T02:04:29.4363806Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_dsplit_cpu_float64 PASSED [ 24%] 2022-11-23T02:04:29.4364147Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_dstack_cpu_float64 PASSED [ 24%] 2022-11-23T02:04:29.4364483Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_einsum_cpu_complex128 PASSED [ 24%] 2022-11-23T02:04:29.4364832Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_einsum_cpu_float64 PASSED [ 24%] 2022-11-23T02:04:29.4365239Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_empty_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 24%] 2022-11-23T02:04:29.4365688Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_eq_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 24%] 2022-11-23T02:04:29.4366150Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_equal_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 24%] 2022-11-23T02:04:29.4366584Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_erf_cpu_float64 PASSED [ 24%] 2022-11-23T02:04:29.4366929Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_erfc_cpu_float64 PASSED [ 24%] 2022-11-23T02:04:29.4367262Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_erfinv_cpu_float64 PASSED [ 24%] 2022-11-23T02:04:29.4367605Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_exp2_cpu_float64 PASSED [ 24%] 2022-11-23T02:04:29.4367949Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_expand_cpu_float64 PASSED [ 24%] 2022-11-23T02:04:29.4368294Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_expm1_cpu_float64 PASSED [ 24%] 2022-11-23T02:04:29.4368719Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_eye_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 24%] 2022-11-23T02:04:29.4369175Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_eye_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 24%] 2022-11-23T02:04:29.4369585Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_fft2_cpu_complex128 PASSED [ 24%] 2022-11-23T02:04:29.4369939Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_fft_cpu_float64 PASSED [ 25%] 2022-11-23T02:04:29.4370278Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_hfft2_cpu_float64 PASSED [ 25%] 2022-11-23T02:04:29.4370633Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_hfft_cpu_complex128 PASSED [ 25%] 2022-11-23T02:04:29.4370987Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_hfft_cpu_float64 PASSED [ 25%] 2022-11-23T02:04:29.4371325Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_ifft_cpu_float64 PASSED [ 25%] 2022-11-23T02:04:29.4371676Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_ifftn_cpu_float64 PASSED [ 25%] 2022-11-23T02:04:29.4372027Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_ihfft_cpu_float64 PASSED [ 25%] 2022-11-23T02:04:29.4372384Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_irfft2_cpu_complex128 PASSED [ 25%] 2022-11-23T02:04:29.4372736Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_irfft_cpu_complex128 PASSED [ 25%] 2022-11-23T02:04:29.4373087Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_irfft_cpu_float64 PASSED [ 25%] 2022-11-23T02:04:29.4373441Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_irfftn_cpu_float64 PASSED [ 25%] 2022-11-23T02:04:29.4373781Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_rfftn_cpu_float64 PASSED [ 25%] 2022-11-23T02:04:29.4374130Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_flip_cpu_complex128 PASSED [ 25%] 2022-11-23T02:04:29.4374480Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_flip_cpu_float64 PASSED [ 25%] 2022-11-23T02:04:29.4374827Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fliplr_cpu_complex128 PASSED [ 25%] 2022-11-23T02:04:29.4375164Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_flipud_cpu_float64 PASSED [ 25%] 2022-11-23T02:04:29.4375527Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_float_power_cpu_complex128 PASSED [ 25%] 2022-11-23T02:04:29.4375948Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_floor_divide_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 25%] 2022-11-23T02:04:29.4376348Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fmod_cpu_float64 PASSED [ 25%] 2022-11-23T02:04:29.4376682Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_frexp_cpu_float64 PASSED [ 25%] 2022-11-23T02:04:29.4377085Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_full_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 25%] 2022-11-23T02:04:29.4377489Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_gather_cpu_complex128 PASSED [ 25%] 2022-11-23T02:04:29.4377828Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_gather_cpu_float64 PASSED [ 25%] 2022-11-23T02:04:29.4378261Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_ge_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 25%] 2022-11-23T02:04:29.4378722Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_geqrf_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%] 2022-11-23T02:04:29.4379283Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_geqrf_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%] 2022-11-23T02:04:29.4379676Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_gradient_cpu_complex128 PASSED [ 26%] 2022-11-23T02:04:29.4380037Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_gradient_cpu_float64 PASSED [ 26%] 2022-11-23T02:04:29.4380447Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_grid_sampler_2d_cpu_float64 PASSED [ 26%] 2022-11-23T02:04:29.4380856Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_gt_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%] 2022-11-23T02:04:29.4381242Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_half_cpu_complex128 XFAIL [ 26%] 2022-11-23T02:04:29.4381588Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_half_cpu_float64 XFAIL [ 26%] 2022-11-23T02:04:29.4381990Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_histc_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%] 2022-11-23T02:04:29.4382454Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_histogram_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%] 2022-11-23T02:04:29.4382847Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_imag_cpu_complex128 PASSED [ 26%] 2022-11-23T02:04:29.4383213Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_index_add_cpu_complex128 PASSED [ 26%] 2022-11-23T02:04:29.4383571Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_index_copy_cpu_float64 PASSED [ 26%] 2022-11-23T02:04:29.4383933Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_index_fill_cpu_complex128 PASSED [ 26%] 2022-11-23T02:04:29.4384287Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_index_put_cpu_complex128 PASSED [ 26%] 2022-11-23T02:04:29.4384644Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_index_select_cpu_float64 PASSED [ 26%] 2022-11-23T02:04:29.4384997Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_inner_cpu_complex128 PASSED [ 26%] 2022-11-23T02:04:29.4385334Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_inner_cpu_float64 PASSED [ 26%] 2022-11-23T02:04:29.4385746Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_isclose_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%] 2022-11-23T02:04:29.4386218Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_isfinite_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%] 2022-11-23T02:04:29.4386684Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_isfinite_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%] 2022-11-23T02:04:29.4387133Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_isin_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%] 2022-11-23T02:04:29.4387583Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_isinf_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%] 2022-11-23T02:04:29.4388033Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_isnan_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%] 2022-11-23T02:04:29.4388494Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_isreal_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 27%] 2022-11-23T02:04:29.4388950Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_jiterator_4inputs_with_extra_args_cpu_complex128 SKIPPED (Only runs on cuda) [ 27%] 2022-11-23T02:04:29.4389449Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_jiterator_binary_return_by_ref_cpu_complex128 SKIPPED (Only runs on cuda) [ 27%] 2022-11-23T02:04:29.4389926Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_jiterator_binary_return_by_ref_cpu_float64 SKIPPED (Only runs on cuda) [ 27%] 2022-11-23T02:04:29.4390348Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_jiterator_unary_cpu_float64 SKIPPED (Only runs on cuda) [ 27%] 2022-11-23T02:04:29.4390724Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_kthvalue_cpu_float64 PASSED [ 27%] 2022-11-23T02:04:29.4391065Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_ldexp_cpu_float64 PASSED [ 27%] 2022-11-23T02:04:29.4391422Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_cond_cpu_complex128 PASSED [ 27%] 2022-11-23T02:04:29.4391821Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_cross_cpu_float64 PASSED [ 27%] 2022-11-23T02:04:29.4392169Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_det_cpu_complex128 PASSED [ 27%] 2022-11-23T02:04:29.4392546Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_det_singular_cpu_float64 PASSED [ 27%] 2022-11-23T02:04:29.4392921Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_eigvals_cpu_complex128 PASSED [ 27%] 2022-11-23T02:04:29.4393295Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_eigvalsh_cpu_complex128 PASSED [ 27%] 2022-11-23T02:04:29.4393672Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_householder_product_cpu_complex128 PASSED [ 27%] 2022-11-23T02:04:29.4394071Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_householder_product_cpu_float64 PASSED [ 27%] 2022-11-23T02:04:29.4394440Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_inv_cpu_float64 PASSED [ 27%] 2022-11-23T02:04:29.4394796Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_inv_ex_cpu_float64 PASSED [ 27%] 2022-11-23T02:04:29.4395209Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_ldl_factor_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 27%] 2022-11-23T02:04:29.4395695Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_ldl_factor_ex_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 27%] 2022-11-23T02:04:29.4396128Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_lstsq_cpu_complex128 SKIPPED (Skipped!) [ 27%] 2022-11-23T02:04:29.4396503Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_lu_cpu_complex128 PASSED [ 27%] 2022-11-23T02:04:29.4396850Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_lu_cpu_float64 PASSED [ 27%] 2022-11-23T02:04:29.4397209Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_lu_factor_cpu_float64 PASSED [ 27%] 2022-11-23T02:04:29.4397586Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_lu_factor_ex_cpu_complex128 PASSED [ 27%] 2022-11-23T02:04:29.4397949Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_lu_solve_cpu_complex128 PASSED [ 28%] 2022-11-23T02:04:29.4398321Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_lu_solve_cpu_float64 PASSED [ 28%] 2022-11-23T02:04:29.4398688Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_matrix_norm_cpu_float64 PASSED [ 28%] 2022-11-23T02:04:29.4399062Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_matrix_power_cpu_complex128 PASSED [ 28%] 2022-11-23T02:04:29.4399485Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_matrix_rank_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 28%] 2022-11-23T02:04:29.4399970Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_matrix_rank_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 28%] 2022-11-23T02:04:29.4400466Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_matrix_rank_hermitian_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 28%] 2022-11-23T02:04:29.4400947Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_multi_dot_cpu_complex128 PASSED [ 28%] 2022-11-23T02:04:29.4401305Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_norm_cpu_complex128 PASSED [ 28%] 2022-11-23T02:04:29.4401687Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_norm_subgradients_at_zero_cpu_complex128 XFAIL [ 28%] 2022-11-23T02:04:29.4402088Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_norm_subgradients_at_zero_cpu_float64 XFAIL [ 28%] 2022-11-23T02:04:29.4402469Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_pinv_cpu_complex128 PASSED [ 28%] 2022-11-23T02:04:29.4402835Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_pinv_hermitian_cpu_complex128 PASSED [ 28%] 2022-11-23T02:04:29.4403326Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_pinv_singular_cpu_float64 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 28%] 2022-11-23T02:04:29.4403749Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_qr_cpu_float64 PASSED [ 28%] 2022-11-23T02:04:29.4404110Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_slogdet_cpu_float64 PASSED [ 28%] 2022-11-23T02:04:29.4404466Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_solve_cpu_complex128 PASSED [ 28%] 2022-11-23T02:04:29.4404838Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_solve_ex_cpu_complex128 PASSED [ 28%] 2022-11-23T02:04:29.4405206Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_solve_ex_cpu_float64 PASSED [ 28%] 2022-11-23T02:04:29.4405571Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_solve_triangular_cpu_float64 PASSED [ 28%] 2022-11-23T02:04:29.4405956Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_svdvals_cpu_complex128 PASSED [ 28%] 2022-11-23T02:04:29.4406373Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_tensorinv_cpu_float64 PASSED [ 28%] 2022-11-23T02:04:29.4406754Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_tensorsolve_cpu_complex128 PASSED [ 28%] 2022-11-23T02:04:29.4407123Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_tensorsolve_cpu_float64 PASSED [ 29%] 2022-11-23T02:04:29.4407499Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_vecdot_cpu_complex128 PASSED [ 29%] 2022-11-23T02:04:29.4407923Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linspace_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%] 2022-11-23T02:04:29.4408330Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_log2_cpu_complex128 PASSED [ 29%] 2022-11-23T02:04:29.4408667Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_log2_cpu_float64 PASSED [ 29%] 2022-11-23T02:04:29.4409026Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_log_softmax_cpu_float64 PASSED [ 29%] 2022-11-23T02:04:29.4409398Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_log_softmax_with_dtype_cpu_float64 PASSED [ 29%] 2022-11-23T02:04:29.4409774Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_logaddexp2_cpu_float64 PASSED [ 29%] 2022-11-23T02:04:29.4410188Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_logical_and_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%] 2022-11-23T02:04:29.4410669Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_logical_not_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%] 2022-11-23T02:04:29.4411144Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_logical_or_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%] 2022-11-23T02:04:29.4411617Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_logical_or_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%] 2022-11-23T02:04:29.4412076Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_logical_xor_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%] 2022-11-23T02:04:29.4412580Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_logical_xor_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%] 2022-11-23T02:04:29.4413054Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_logspace_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%] 2022-11-23T02:04:29.4413464Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_logsumexp_cpu_float64 PASSED [ 29%] 2022-11-23T02:04:29.4413869Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_long_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%] 2022-11-23T02:04:29.4414327Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_long_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%] 2022-11-23T02:04:29.4414813Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_lt_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%] 2022-11-23T02:04:29.4415213Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_lu_cpu_complex128 PASSED [ 29%] 2022-11-23T02:04:29.4415549Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_lu_cpu_float64 PASSED [ 29%] 2022-11-23T02:04:29.4415900Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_lu_unpack_cpu_float64 PASSED [ 29%] 2022-11-23T02:04:29.4416250Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_mH_cpu_float64 PASSED [ 29%] 2022-11-23T02:04:29.4416647Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_argmin_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%] 2022-11-23T02:04:29.4417060Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_cumprod_cpu_float64 PASSED [ 30%] 2022-11-23T02:04:29.4417435Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_cumsum_cpu_complex128 PASSED [ 30%] 2022-11-23T02:04:29.4417813Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_log_softmax_cpu_float64 PASSED [ 30%] 2022-11-23T02:04:29.4418174Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_logaddexp_cpu_float64 PASSED [ 30%] 2022-11-23T02:04:29.4418542Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_logsumexp_cpu_float64 PASSED [ 30%] 2022-11-23T02:04:29.4419106Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_mean_cpu_complex128 PASSED [ 30%] 2022-11-23T02:04:29.4419474Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_median_cpu_float64 PASSED [ 30%] 2022-11-23T02:04:29.4419822Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_norm_cpu_float64 PASSED [ 30%] 2022-11-23T02:04:29.4420182Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_normalize_cpu_float64 PASSED [ 30%] 2022-11-23T02:04:29.4420552Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_prod_cpu_complex128 PASSED [ 30%] 2022-11-23T02:04:29.4420922Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_select_cpu_float64 PASSED [ 30%] 2022-11-23T02:04:29.4421273Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_softmax_cpu_float64 PASSED [ 30%] 2022-11-23T02:04:29.4421682Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_std_cpu_complex128 PASSED [ 30%] 2022-11-23T02:04:29.4422036Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_std_cpu_float64 PASSED [ 30%] 2022-11-23T02:04:29.4422384Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_sum_cpu_complex128 PASSED [ 30%] 2022-11-23T02:04:29.4422739Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_sum_cpu_float64 PASSED [ 30%] 2022-11-23T02:04:29.4423093Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_var_cpu_complex128 PASSED [ 30%] 2022-11-23T02:04:29.4423452Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_matmul_cpu_complex128 PASSED [ 30%] 2022-11-23T02:04:29.4423823Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_max_pool2d_with_indices_backward_cpu_float64 PASSED [ 30%] 2022-11-23T02:04:29.4424244Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_maximum_cpu_float64 PASSED [ 30%] 2022-11-23T02:04:29.4424596Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_mean_cpu_complex128 PASSED [ 30%] 2022-11-23T02:04:29.4424929Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_median_cpu_float64 PASSED [ 30%] 2022-11-23T02:04:29.4425299Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_meshgrid_list_of_tensors_cpu_complex128 PASSED [ 30%] 2022-11-23T02:04:29.4425688Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_meshgrid_list_of_tensors_cpu_float64 PASSED [ 30%] 2022-11-23T02:04:29.4426077Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_meshgrid_variadic_tensors_cpu_complex128 PASSED [ 31%] 2022-11-23T02:04:29.4426470Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_mm_cpu_complex128 PASSED [ 31%] 2022-11-23T02:04:29.4426814Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_mm_cpu_float64 PASSED [ 31%] 2022-11-23T02:04:29.4427166Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_movedim_cpu_complex128 PASSED [ 31%] 2022-11-23T02:04:29.4427519Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_mul_cpu_complex128 PASSED [ 31%] 2022-11-23T02:04:29.4427868Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_mvlgamma_mvlgamma_p_3_cpu_float64 PASSED [ 31%] 2022-11-23T02:04:29.4428245Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_mvlgamma_mvlgamma_p_5_cpu_float64 PASSED [ 31%] 2022-11-23T02:04:29.4428607Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nan_to_num_cpu_float64 PASSED [ 31%] 2022-11-23T02:04:29.4428945Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nanmean_cpu_float64 PASSED [ 31%] 2022-11-23T02:04:29.4429390Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nanmedian_cpu_float64 PASSED [ 31%] 2022-11-23T02:04:29.4429753Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nanquantile_cpu_float64 PASSED [ 31%] 2022-11-23T02:04:29.4430112Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nansum_cpu_float64 PASSED [ 31%] 2022-11-23T02:04:29.4430517Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_narrow_copy_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 31%] 2022-11-23T02:04:29.4430991Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_narrow_copy_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 31%] 2022-11-23T02:04:29.4431396Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_narrow_cpu_float64 PASSED [ 31%] 2022-11-23T02:04:29.4431768Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_native_dropout_backward_cpu_float64 PASSED [ 31%] 2022-11-23T02:04:29.4432180Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_ne_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 31%] 2022-11-23T02:04:29.4432637Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_ne_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 31%] 2022-11-23T02:04:29.4433109Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_new_empty_strided_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 31%] 2022-11-23T02:04:29.4433581Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_new_full_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 31%] 2022-11-23T02:04:29.4434033Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_new_full_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 31%] 2022-11-23T02:04:29.4434488Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_new_zeros_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 31%] 2022-11-23T02:04:29.4434955Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_new_zeros_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 31%] 2022-11-23T02:04:29.4435396Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional__scaled_dot_product_attention_cpu_float64 PASSED [ 31%] 2022-11-23T02:04:29.4435834Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_adaptive_avg_pool2d_cpu_float64 PASSED [ 32%] 2022-11-23T02:04:29.4436242Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_adaptive_avg_pool3d_cpu_float64 PASSED [ 32%] 2022-11-23T02:04:29.4436636Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_adaptive_max_pool2d_cpu_float64 PASSED [ 32%] 2022-11-23T02:04:29.4437045Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_adaptive_max_pool3d_cpu_float64 PASSED [ 32%] 2022-11-23T02:04:29.4437425Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_batch_norm_cpu_float64 PASSED [ 32%] 2022-11-23T02:04:29.4437860Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_binary_cross_entropy_with_logits_cpu_float64 PASSED [ 32%] 2022-11-23T02:04:29.4438260Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_celu_cpu_float64 PASSED [ 32%] 2022-11-23T02:04:29.4438640Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_conv1d_cpu_complex128 PASSED [ 32%] 2022-11-23T02:04:29.4439022Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_conv_transpose3d_cpu_complex128 PASSED [ 32%] 2022-11-23T02:04:29.4439429Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_cosine_embedding_loss_cpu_float64 PASSED [ 32%] 2022-11-23T02:04:29.4439827Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_cross_entropy_cpu_float64 PASSED [ 32%] 2022-11-23T02:04:29.4440209Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_ctc_loss_cpu_float64 XFAIL [ 32%] 2022-11-23T02:04:29.4440584Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_dropout2d_cpu_float64 PASSED [ 32%] 2022-11-23T02:04:29.4440966Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_dropout_cpu_float64 PASSED [ 32%] 2022-11-23T02:04:29.4441340Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_elu_cpu_float64 PASSED [ 32%] 2022-11-23T02:04:29.4441724Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_embedding_bag_cpu_float64 PASSED [ 32%] 2022-11-23T02:04:29.4442098Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_embedding_cpu_float64 PASSED [ 32%] 2022-11-23T02:04:29.4442515Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_feature_alpha_dropout_without_train_cpu_complex128 PASSED [ 32%] 2022-11-23T02:04:29.4442939Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_fractional_max_pool2d_cpu_float64 PASSED [ 32%] 2022-11-23T02:04:29.4443327Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_gaussian_nll_loss_cpu_float64 PASSED [ 32%] 2022-11-23T02:04:29.4443710Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_glu_cpu_float64 PASSED [ 32%] 2022-11-23T02:04:29.4444091Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_grid_sample_cpu_float64 PASSED [ 32%] 2022-11-23T02:04:29.4444480Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_group_norm_cpu_float64 PASSED [ 32%] 2022-11-23T02:04:29.4444854Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_hardshrink_cpu_float64 PASSED [ 33%] 2022-11-23T02:04:29.4445242Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_hardsigmoid_cpu_float64 PASSED [ 33%] 2022-11-23T02:04:29.4445630Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_hardswish_cpu_float64 PASSED [ 33%] 2022-11-23T02:04:29.4446010Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_hardtanh_cpu_float64 PASSED [ 33%] 2022-11-23T02:04:29.4446382Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_huber_loss_cpu_float64 PASSED [ 33%] 2022-11-23T02:04:29.4446767Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_instance_norm_cpu_float64 PASSED [ 33%] 2022-11-23T02:04:29.4447200Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_interpolate_linear_cpu_float64 PASSED [ 33%] 2022-11-23T02:04:29.4447592Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_kl_div_cpu_float64 PASSED [ 33%] 2022-11-23T02:04:29.4447959Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_l1_loss_cpu_complex128 PASSED [ 33%] 2022-11-23T02:04:29.4448333Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_l1_loss_cpu_float64 PASSED [ 33%] 2022-11-23T02:04:29.4448712Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_layer_norm_cpu_float64 PASSED [ 33%] 2022-11-23T02:04:29.4449081Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_leaky_relu_cpu_float64 PASSED [ 33%] 2022-11-23T02:04:29.4449488Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_linear_cpu_complex128 PASSED [ 33%] 2022-11-23T02:04:29.4449878Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_margin_ranking_loss_cpu_float64 PASSED [ 33%] 2022-11-23T02:04:29.4450277Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_max_unpool1d_grad_cpu_float64 PASSED [ 33%] 2022-11-23T02:04:29.4450670Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_max_unpool2d_cpu_float64 SKIPPED (Skipped!) [ 33%] 2022-11-23T02:04:29.4451077Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_max_unpool3d_cpu_float64 SKIPPED (Skipped!) [ 33%] 2022-11-23T02:04:29.4451470Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_mse_loss_cpu_float64 PASSED [ 33%] 2022-11-23T02:04:29.4451858Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_multi_margin_loss_cpu_float64 PASSED [ 33%] 2022-11-23T02:04:29.4452257Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_multilabel_soft_margin_loss_cpu_float64 PASSED [ 33%] 2022-11-23T02:04:29.4452669Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_pad_circular_cpu_complex128 PASSED [ 33%] 2022-11-23T02:04:29.4453067Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_pad_circular_cpu_float64 PASSED [ 33%] 2022-11-23T02:04:29.4453459Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_pad_reflect_cpu_complex128 PASSED [ 33%] 2022-11-23T02:04:29.4453841Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_pad_reflect_cpu_float64 PASSED [ 33%] 2022-11-23T02:04:29.4454230Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_pad_replicate_cpu_float64 PASSED [ 34%] 2022-11-23T02:04:29.4454629Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_pairwise_distance_cpu_complex128 PASSED [ 34%] 2022-11-23T02:04:29.4455023Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_pdist_cpu_float64 PASSED [ 34%] 2022-11-23T02:04:29.4455398Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_pixel_shuffle_cpu_complex128 PASSED [ 34%] 2022-11-23T02:04:29.4455793Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_pixel_shuffle_cpu_float64 PASSED [ 34%] 2022-11-23T02:04:29.4456174Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_prelu_cpu_float64 PASSED [ 34%] 2022-11-23T02:04:29.4456539Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_selu_cpu_float64 PASSED [ 34%] 2022-11-23T02:04:29.4456922Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_soft_margin_loss_cpu_float64 PASSED [ 34%] 2022-11-23T02:04:29.4457318Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_softmin_with_dtype_cpu_float64 PASSED [ 34%] 2022-11-23T02:04:29.4457709Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_softplus_cpu_float64 PASSED [ 34%] 2022-11-23T02:04:29.4458079Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_softsign_cpu_float64 PASSED [ 34%] 2022-11-23T02:04:29.4458490Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_tanhshrink_cpu_complex128 PASSED [ 34%] 2022-11-23T02:04:29.4458982Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_threshold_cpu_float64 PASSED [ 34%] 2022-11-23T02:04:29.4459378Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_triplet_margin_loss_cpu_float64 PASSED [ 34%] 2022-11-23T02:04:29.4459788Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_triplet_margin_with_distance_loss_cpu_complex128 PASSED [ 34%] 2022-11-23T02:04:29.4460200Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_unfold_cpu_complex128 PASSED [ 34%] 2022-11-23T02:04:29.4460592Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_nn_functional_upsample_nearest_cpu_float64 PASSED [ 34%] 2022-11-23T02:04:29.4461015Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_norm_cpu_float64 PASSED [ 34%] 2022-11-23T02:04:29.4461352Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_norm_fro_cpu_float64 PASSED [ 34%] 2022-11-23T02:04:29.4461709Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_norm_nuc_cpu_complex128 PASSED [ 34%] 2022-11-23T02:04:29.4462123Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_ones_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 34%] 2022-11-23T02:04:29.4462591Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_ones_like_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 34%] 2022-11-23T02:04:29.4463045Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_ones_like_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 34%] 2022-11-23T02:04:29.4463457Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_ormqr_cpu_complex128 PASSED [ 34%] 2022-11-23T02:04:29.4463809Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_ormqr_cpu_float64 PASSED [ 35%] 2022-11-23T02:04:29.4464144Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_outer_cpu_complex128 PASSED [ 35%] 2022-11-23T02:04:29.4464501Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_pca_lowrank_cpu_float64 PASSED [ 35%] 2022-11-23T02:04:29.4464860Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_permute_cpu_complex128 PASSED [ 35%] 2022-11-23T02:04:29.4465224Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_pinverse_cpu_complex128 PASSED [ 35%] 2022-11-23T02:04:29.4465603Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_polygamma_polygamma_n_3_cpu_float64 SKIPPED (Skipped!) [ 35%] 2022-11-23T02:04:29.4466017Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_polygamma_polygamma_n_4_cpu_float64 SKIPPED (Skipped!) 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[ 40%] 2022-11-23T02:04:29.4511637Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad___rpow___cpu_float64 SKIPPED (Skipped!) [ 40%] 2022-11-23T02:04:29.4511999Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad___rsub___cpu_complex128 PASSED [ 40%] 2022-11-23T02:04:29.4512379Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad__softmax_backward_data_cpu_float64 PASSED [ 40%] 2022-11-23T02:04:29.4512752Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_abs_cpu_complex128 PASSED [ 40%] 2022-11-23T02:04:29.4513097Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_acos_cpu_complex128 PASSED [ 40%] 2022-11-23T02:04:29.4513460Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_acosh_cpu_complex128 PASSED [ 40%] 2022-11-23T02:04:29.4513818Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_acosh_cpu_float64 PASSED [ 40%] 2022-11-23T02:04:29.4514178Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_addcdiv_cpu_complex128 PASSED [ 40%] 2022-11-23T02:04:29.4514529Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_addcdiv_cpu_float64 PASSED [ 40%] 2022-11-23T02:04:29.4514884Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_addmm_cpu_float64 PASSED [ 40%] 2022-11-23T02:04:29.4515259Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_addmm_decomposed_cpu_complex128 PASSED [ 40%] 2022-11-23T02:04:29.4515644Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_addmm_decomposed_cpu_float64 PASSED [ 40%] 2022-11-23T02:04:29.4516003Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_addmv_cpu_complex128 PASSED [ 40%] 2022-11-23T02:04:29.4516560Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_all_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 40%] 2022-11-23T02:04:29.4517132Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_all_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 40%] 2022-11-23T02:04:29.4517742Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_allclose_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 40%] 2022-11-23T02:04:29.4518306Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_aminmax_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 40%] 2022-11-23T02:04:29.4518903Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_any_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 40%] 2022-11-23T02:04:29.4519465Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_any_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 41%] 2022-11-23T02:04:29.4520062Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_argmax_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 41%] 2022-11-23T02:04:29.4520486Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_as_strided_cpu_complex128 SKIPPED (Numerous errors) [ 41%] 2022-11-23T02:04:29.4520898Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_as_strided_cpu_float64 SKIPPED (Numerous errors) [ 41%] 2022-11-23T02:04:29.4521274Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_asin_cpu_float64 PASSED [ 41%] 2022-11-23T02:04:29.4521633Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_asinh_cpu_float64 PASSED [ 41%] 2022-11-23T02:04:29.4521983Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_atanh_cpu_complex128 PASSED [ 41%] 2022-11-23T02:04:29.4522346Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_atleast_1d_cpu_float64 PASSED [ 41%] 2022-11-23T02:04:29.4522721Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_atleast_2d_cpu_complex128 PASSED [ 41%] 2022-11-23T02:04:29.4523083Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_atleast_3d_cpu_complex128 PASSED [ 41%] 2022-11-23T02:04:29.4523460Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_atleast_3d_cpu_float64 PASSED [ 41%] 2022-11-23T02:04:29.4523826Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_baddbmm_cpu_float64 PASSED [ 41%] 2022-11-23T02:04:29.4524195Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_bernoulli_cpu_float64 PASSED [ 41%] 2022-11-23T02:04:29.4524545Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_bfloat16_cpu_float64 XFAIL [ 41%] 2022-11-23T02:04:29.4524912Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_block_diag_cpu_complex128 PASSED [ 41%] 2022-11-23T02:04:29.4525279Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_bmm_cpu_float64 PASSED [ 41%] 2022-11-23T02:04:29.4525805Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_byte_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 41%] 2022-11-23T02:04:29.4526205Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_ceil_cpu_float64 PASSED [ 41%] 2022-11-23T02:04:29.4526566Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cfloat_cpu_complex128 XFAIL [ 41%] 2022-11-23T02:04:29.4526925Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cfloat_cpu_float64 XFAIL [ 41%] 2022-11-23T02:04:29.4527438Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_char_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 41%] 2022-11-23T02:04:29.4527866Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cholesky_cpu_complex128 PASSED [ 41%] 2022-11-23T02:04:29.4528233Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_chunk_cpu_float64 PASSED [ 41%] 2022-11-23T02:04:29.4528599Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_clamp_max_cpu_float64 PASSED [ 41%] 2022-11-23T02:04:29.4528954Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_clamp_min_cpu_float64 PASSED [ 42%] 2022-11-23T02:04:29.4529309Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_clone_cpu_float64 PASSED [ 42%] 2022-11-23T02:04:29.4529702Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_column_stack_cpu_float64 PASSED [ 42%] 2022-11-23T02:04:29.4530090Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_combinations_cpu_complex128 PASSED [ 42%] 2022-11-23T02:04:29.4530448Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_conj_cpu_complex128 PASSED [ 42%] 2022-11-23T02:04:29.4530826Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_conj_physical_cpu_complex128 PASSED [ 42%] 2022-11-23T02:04:29.4531214Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_constant_pad_nd_cpu_complex128 PASSED [ 42%] 2022-11-23T02:04:29.4531586Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_constant_pad_nd_cpu_float64 PASSED [ 42%] 2022-11-23T02:04:29.4531990Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_contiguous_cpu_complex128 PASSED [ 42%] 2022-11-23T02:04:29.4532358Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_copysign_cpu_float64 PASSED [ 42%] 2022-11-23T02:04:29.4532730Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_corrcoef_cpu_complex128 PASSED [ 42%] 2022-11-23T02:04:29.4533082Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_corrcoef_cpu_float64 PASSED [ 42%] 2022-11-23T02:04:29.4533443Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cosh_cpu_float64 PASSED [ 42%] 2022-11-23T02:04:29.4533983Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_count_nonzero_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 42%] 2022-11-23T02:04:29.4534406Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cov_cpu_complex128 XFAIL [ 42%] 2022-11-23T02:04:29.4534750Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cov_cpu_float64 XFAIL [ 42%] 2022-11-23T02:04:29.4535100Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cross_cpu_float64 PASSED [ 42%] 2022-11-23T02:04:29.4535456Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cumprod_cpu_float64 PASSED [ 42%] 2022-11-23T02:04:29.4535625Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cumsum_cpu_float64 PASSED [ 42%] 2022-11-23T02:04:29.4535817Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cumulative_trapezoid_cpu_complex128 PASSED [ 42%] 2022-11-23T02:04:29.4535992Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cumulative_trapezoid_cpu_float64 PASSED [ 42%] 2022-11-23T02:04:29.4536165Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_diag_cpu_complex128 PASSED [ 42%] 2022-11-23T02:04:29.4536330Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_diag_cpu_float64 PASSED [ 42%] 2022-11-23T02:04:29.4536511Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_diag_embed_cpu_complex128 PASSED [ 43%] 2022-11-23T02:04:29.4536683Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_diagflat_cpu_float64 PASSED [ 43%] 2022-11-23T02:04:29.4536864Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_diagonal_copy_cpu_complex128 PASSED [ 43%] 2022-11-23T02:04:29.4537044Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_diagonal_copy_cpu_float64 PASSED [ 43%] 2022-11-23T02:04:29.4537213Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_diagonal_cpu_float64 PASSED [ 43%] 2022-11-23T02:04:29.4537385Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_diff_cpu_complex128 PASSED [ 43%] 2022-11-23T02:04:29.4537544Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_dist_cpu_complex128 PASSED [ 43%] 2022-11-23T02:04:29.4537711Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_dist_cpu_float64 PASSED [ 43%] 2022-11-23T02:04:29.4537893Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_div_floor_rounding_cpu_float64 PASSED [ 43%] 2022-11-23T02:04:29.4538081Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_div_no_rounding_mode_cpu_complex128 PASSED [ 43%] 2022-11-23T02:04:29.4538263Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_div_trunc_rounding_cpu_float64 PASSED [ 43%] 2022-11-23T02:04:29.4538457Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_dot_cpu_float64 PASSED [ 43%] 2022-11-23T02:04:29.4538627Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_double_cpu_float64 PASSED [ 43%] 2022-11-23T02:04:29.4538924Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_dstack_cpu_complex128 PASSED [ 43%] 2022-11-23T02:04:29.4539094Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_dstack_cpu_float64 PASSED [ 43%] 2022-11-23T02:04:29.4539254Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_einsum_cpu_complex128 PASSED [ 43%] 2022-11-23T02:04:29.4539596Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_empty_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 43%] 2022-11-23T02:04:29.4539986Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_empty_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 43%] 2022-11-23T02:04:29.4540332Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_empty_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 43%] 2022-11-23T02:04:29.4540671Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_empty_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 43%] 2022-11-23T02:04:29.4541004Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_eq_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 43%] 2022-11-23T02:04:29.4541343Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_equal_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 43%] 2022-11-23T02:04:29.4541675Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_equal_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 43%] 2022-11-23T02:04:29.4541847Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_erfinv_cpu_float64 PASSED [ 43%] 2022-11-23T02:04:29.4542016Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_exp2_cpu_float64 PASSED [ 44%] 2022-11-23T02:04:29.4542172Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_exp_cpu_complex128 PASSED [ 44%] 2022-11-23T02:04:29.4542337Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_exp_cpu_float64 PASSED [ 44%] 2022-11-23T02:04:29.4542514Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_expand_cpu_complex128 PASSED [ 44%] 2022-11-23T02:04:29.4542681Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_expm1_cpu_float64 PASSED [ 44%] 2022-11-23T02:04:29.4543010Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_eye_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 44%] 2022-11-23T02:04:29.4543187Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_fftn_cpu_complex128 PASSED [ 44%] 2022-11-23T02:04:29.4543370Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_fftshift_cpu_complex128 PASSED [ 44%] 2022-11-23T02:04:29.4543548Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_fftshift_cpu_float64 PASSED [ 44%] 2022-11-23T02:04:29.4543719Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_hfft2_cpu_float64 PASSED [ 44%] 2022-11-23T02:04:29.4543878Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_hfft_cpu_float64 PASSED [ 44%] 2022-11-23T02:04:29.4544057Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_ifft2_cpu_complex128 PASSED [ 44%] 2022-11-23T02:04:29.4544226Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_ifft_cpu_float64 PASSED [ 44%] 2022-11-23T02:04:29.4544395Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_ifftn_cpu_float64 PASSED [ 44%] 2022-11-23T02:04:29.4544569Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_ihfft2_cpu_float64 PASSED [ 44%] 2022-11-23T02:04:29.4544742Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_ihfftn_cpu_float64 PASSED [ 44%] 2022-11-23T02:04:29.4544957Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_irfft2_cpu_complex128 PASSED [ 44%] 2022-11-23T02:04:29.4545129Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_irfft2_cpu_float64 PASSED [ 44%] 2022-11-23T02:04:29.4545288Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_irfft_cpu_float64 PASSED [ 44%] 2022-11-23T02:04:29.4545457Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_rfftn_cpu_float64 PASSED [ 44%] 2022-11-23T02:04:29.4545628Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fill_cpu_complex128 PASSED [ 44%] 2022-11-23T02:04:29.4545794Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fill_cpu_float64 PASSED [ 44%] 2022-11-23T02:04:29.4545994Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_flatten_cpu_float64 PASSED [ 44%] 2022-11-23T02:04:29.4546158Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_flip_cpu_float64 PASSED [ 44%] 2022-11-23T02:04:29.4546332Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_flipud_cpu_complex128 PASSED [ 45%] 2022-11-23T02:04:29.4546501Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_flipud_cpu_float64 PASSED [ 45%] 2022-11-23T02:04:29.4546668Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_float_cpu_complex128 XFAIL [ 45%] 2022-11-23T02:04:29.4546821Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_float_cpu_float64 XFAIL [ 45%] 2022-11-23T02:04:29.4546995Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_float_power_cpu_float64 PASSED [ 45%] 2022-11-23T02:04:29.4547160Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_floor_cpu_float64 PASSED [ 45%] 2022-11-23T02:04:29.4547329Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fmax_cpu_float64 PASSED [ 45%] 2022-11-23T02:04:29.4547494Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fmin_cpu_float64 PASSED [ 45%] 2022-11-23T02:04:29.4547657Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_frac_cpu_float64 PASSED [ 45%] 2022-11-23T02:04:29.4547997Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_full_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 45%] 2022-11-23T02:04:29.4548338Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_full_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 45%] 2022-11-23T02:04:29.4548506Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_gather_cpu_float64 PASSED [ 45%] 2022-11-23T02:04:29.4548817Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_ge_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 45%] 2022-11-23T02:04:29.4549148Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_geqrf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 45%] 2022-11-23T02:04:29.4549401Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_gradient_cpu_complex128 PASSED [ 45%] 2022-11-23T02:04:29.4549576Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_half_cpu_complex128 XFAIL [ 45%] 2022-11-23T02:04:29.4549914Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_heaviside_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 45%] 2022-11-23T02:04:29.4550242Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_histc_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 45%] 2022-11-23T02:04:29.4550419Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_hsplit_cpu_complex128 PASSED [ 45%] 2022-11-23T02:04:29.4550593Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_hsplit_cpu_float64 PASSED [ 45%] 2022-11-23T02:04:29.4550768Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_hstack_cpu_complex128 PASSED [ 45%] 2022-11-23T02:04:29.4551099Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_igammac_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 45%] 2022-11-23T02:04:29.4551295Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_index_add_cpu_complex128 PASSED [ 45%] 2022-11-23T02:04:29.4551469Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_index_add_cpu_float64 PASSED [ 45%] 2022-11-23T02:04:29.4551644Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_index_copy_cpu_float64 PASSED [ 46%] 2022-11-23T02:04:29.4551821Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_index_fill_cpu_complex128 PASSED [ 46%] 2022-11-23T02:04:29.4551996Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_index_put_cpu_complex128 PASSED [ 46%] 2022-11-23T02:04:29.4552366Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_int_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%] 2022-11-23T02:04:29.4552704Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_isclose_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%] 2022-11-23T02:04:29.4553040Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_isclose_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%] 2022-11-23T02:04:29.4553379Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_isfinite_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%] 2022-11-23T02:04:29.4553713Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_isfinite_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%] 2022-11-23T02:04:29.4554036Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_isinf_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%] 2022-11-23T02:04:29.4554369Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_isnan_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%] 2022-11-23T02:04:29.4554702Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_isneginf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%] 2022-11-23T02:04:29.4554913Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_jiterator_2inputs_2outputs_cpu_float64 SKIPPED (Only runs on cuda) [ 46%] 2022-11-23T02:04:29.4555137Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_jiterator_4inputs_with_extra_args_cpu_complex128 SKIPPED (Only runs on cuda) [ 46%] 2022-11-23T02:04:29.4555352Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_jiterator_4inputs_with_extra_args_cpu_float64 SKIPPED (Only runs on cuda) [ 46%] 2022-11-23T02:04:29.4555558Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_jiterator_binary_cpu_complex128 SKIPPED (Only runs on cuda) [ 46%] 2022-11-23T02:04:29.4555777Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_jiterator_binary_return_by_ref_cpu_complex128 SKIPPED (Only runs on cuda) [ 46%] 2022-11-23T02:04:29.4555988Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_jiterator_binary_return_by_ref_cpu_float64 SKIPPED (Only runs on cuda) [ 46%] 2022-11-23T02:04:29.4556189Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_jiterator_unary_cpu_float64 SKIPPED (Only runs on cuda) [ 46%] 2022-11-23T02:04:29.4556346Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_kron_cpu_float64 PASSED [ 46%] 2022-11-23T02:04:29.4556518Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_kthvalue_cpu_float64 PASSED [ 46%] 2022-11-23T02:04:29.4556694Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_ldexp_cpu_complex128 PASSED [ 46%] 2022-11-23T02:04:29.4556863Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_ldexp_cpu_float64 PASSED [ 46%] 2022-11-23T02:04:29.4557038Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_lerp_cpu_complex128 PASSED [ 46%] 2022-11-23T02:04:29.4557218Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_cond_cpu_float64 PASSED [ 47%] 2022-11-23T02:04:29.4557399Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_cross_cpu_complex128 PASSED [ 47%] 2022-11-23T02:04:29.4557599Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_det_cpu_float64 PASSED [ 47%] 2022-11-23T02:04:29.4557789Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_det_singular_cpu_complex128 XFAIL [ 47%] 2022-11-23T02:04:29.4557962Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_det_singular_cpu_float64 PASSED [ 47%] 2022-11-23T02:04:29.4558138Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_eigh_cpu_float64 PASSED [ 47%] 2022-11-23T02:04:29.4558321Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_eigvals_cpu_complex128 PASSED [ 47%] 2022-11-23T02:04:29.4558533Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_eigvalsh_cpu_complex128 PASSED [ 47%] 2022-11-23T02:04:29.4558711Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_eigvalsh_cpu_float64 PASSED [ 47%] 2022-11-23T02:04:29.4558911Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_householder_product_cpu_complex128 PASSED [ 47%] 2022-11-23T02:04:29.4559083Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_inv_cpu_float64 PASSED [ 47%] 2022-11-23T02:04:29.4559264Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_inv_ex_cpu_complex128 PASSED [ 47%] 2022-11-23T02:04:29.4559442Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_inv_ex_cpu_float64 PASSED [ 47%] 2022-11-23T02:04:29.4559786Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_ldl_factor_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 47%] 2022-11-23T02:04:29.4560140Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_ldl_factor_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 47%] 2022-11-23T02:04:29.4560494Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_ldl_factor_ex_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 47%] 2022-11-23T02:04:29.4560846Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_ldl_solve_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 47%] 2022-11-23T02:04:29.4561044Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_lstsq_grad_oriented_cpu_complex128 PASSED [ 47%] 2022-11-23T02:04:29.4561224Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_lu_factor_cpu_float64 PASSED [ 47%] 2022-11-23T02:04:29.4561412Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_matrix_norm_cpu_complex128 PASSED [ 47%] 2022-11-23T02:04:29.4561598Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_matrix_power_cpu_complex128 PASSED [ 47%] 2022-11-23T02:04:29.4561952Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_matrix_rank_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 47%] 2022-11-23T02:04:29.4562330Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_matrix_rank_hermitian_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 47%] 2022-11-23T02:04:29.4562695Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_matrix_rank_hermitian_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 47%] 2022-11-23T02:04:29.4562868Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_multi_dot_cpu_complex128 PASSED [ 48%] 2022-11-23T02:04:29.4563050Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_multi_dot_cpu_float64 PASSED [ 48%] 2022-11-23T02:04:29.4563251Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_norm_subgradients_at_zero_cpu_complex128 XFAIL [ 48%] 2022-11-23T02:04:29.4563447Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_pinv_hermitian_cpu_complex128 PASSED [ 48%] 2022-11-23T02:04:29.4563726Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_pinv_singular_cpu_float64 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 48%] 2022-11-23T02:04:29.4563904Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_qr_cpu_complex128 PASSED [ 48%] 2022-11-23T02:04:29.4564076Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_qr_cpu_float64 PASSED [ 48%] 2022-11-23T02:04:29.4564258Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_slogdet_cpu_complex128 PASSED [ 48%] 2022-11-23T02:04:29.4564434Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_solve_cpu_float64 PASSED [ 48%] 2022-11-23T02:04:29.4564601Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_solve_ex_cpu_float64 PASSED [ 48%] 2022-11-23T02:04:29.4564822Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_solve_triangular_cpu_float64 PASSED [ 48%] 2022-11-23T02:04:29.4565008Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_tensorinv_cpu_complex128 PASSED [ 48%] 2022-11-23T02:04:29.4565200Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_tensorsolve_cpu_complex128 PASSED [ 48%] 2022-11-23T02:04:29.4565382Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_vander_cpu_complex128 PASSED [ 48%] 2022-11-23T02:04:29.4565560Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_vecdot_cpu_float64 PASSED [ 48%] 2022-11-23T02:04:29.4565745Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_vector_norm_cpu_complex128 PASSED [ 48%] 2022-11-23T02:04:29.4565928Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_vector_norm_cpu_float64 PASSED [ 48%] 2022-11-23T02:04:29.4566101Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_log10_cpu_float64 PASSED [ 48%] 2022-11-23T02:04:29.4566259Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_log1p_cpu_float64 PASSED [ 48%] 2022-11-23T02:04:29.4566425Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_log2_cpu_float64 PASSED [ 48%] 2022-11-23T02:04:29.4566591Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_log_cpu_float64 PASSED [ 48%] 2022-11-23T02:04:29.4566784Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_log_softmax_with_dtype_cpu_complex128 PASSED [ 48%] 2022-11-23T02:04:29.4566958Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_logaddexp_cpu_float64 PASSED [ 48%] 2022-11-23T02:04:29.4567134Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_logdet_cpu_complex128 PASSED [ 48%] 2022-11-23T02:04:29.4567304Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_logdet_cpu_float64 PASSED [ 49%] 2022-11-23T02:04:29.4567651Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_logical_and_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%] 2022-11-23T02:04:29.4567998Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_logical_not_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%] 2022-11-23T02:04:29.4568346Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_logical_xor_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%] 2022-11-23T02:04:29.4568504Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_logit_cpu_float64 PASSED [ 49%] 2022-11-23T02:04:29.4568852Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_logspace_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%] 2022-11-23T02:04:29.4569188Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_logspace_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%] 2022-11-23T02:04:29.4569367Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_logsumexp_cpu_float64 PASSED [ 49%] 2022-11-23T02:04:29.4569696Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_long_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%] 2022-11-23T02:04:29.4570051Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_lt_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%] 2022-11-23T02:04:29.4570222Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_lu_cpu_complex128 PASSED [ 49%] 2022-11-23T02:04:29.4570385Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_lu_cpu_float64 PASSED [ 49%] 2022-11-23T02:04:29.4570559Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_lu_solve_cpu_complex128 PASSED [ 49%] 2022-11-23T02:04:29.4570718Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_lu_solve_cpu_float64 PASSED [ 49%] 2022-11-23T02:04:29.4570886Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_mH_cpu_complex128 PASSED [ 49%] 2022-11-23T02:04:29.4571078Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_mH_cpu_float64 PASSED [ 49%] 2022-11-23T02:04:29.4571421Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_argmax_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%] 2022-11-23T02:04:29.4571766Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_argmin_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%] 2022-11-23T02:04:29.4571951Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_cumprod_cpu_complex128 PASSED [ 49%] 2022-11-23T02:04:29.4572135Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_cumsum_cpu_complex128 PASSED [ 49%] 2022-11-23T02:04:29.4572316Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_fill_cpu_complex128 PASSED [ 49%] 2022-11-23T02:04:29.4572499Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_log_softmax_cpu_float64 PASSED [ 49%] 2022-11-23T02:04:29.4572677Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_mean_cpu_float64 PASSED [ 49%] 2022-11-23T02:04:29.4572843Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_median_cpu_float64 PASSED [ 50%] 2022-11-23T02:04:29.4573031Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_normalize_cpu_complex128 PASSED [ 50%] 2022-11-23T02:04:29.4573213Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_normalize_cpu_float64 PASSED [ 50%] 2022-11-23T02:04:29.4573392Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_prod_cpu_float64 PASSED [ 50%] 2022-11-23T02:04:29.4573568Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_select_cpu_float64 PASSED [ 50%] 2022-11-23T02:04:29.4573740Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_std_cpu_float64 PASSED [ 50%] 2022-11-23T02:04:29.4573913Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_sum_cpu_float64 PASSED [ 50%] 2022-11-23T02:04:29.4574087Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_matmul_cpu_complex128 PASSED [ 50%] 2022-11-23T02:04:29.4574256Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_matmul_cpu_float64 PASSED [ 50%] 2022-11-23T02:04:29.4574425Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_matrix_exp_cpu_complex128 PASSED [ 50%] 2022-11-23T02:04:29.4574599Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_matrix_exp_cpu_float64 PASSED [ 50%] 2022-11-23T02:04:29.4574775Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_max_binary_cpu_float64 PASSED [ 50%] 2022-11-23T02:04:29.4574975Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_max_pool2d_with_indices_backward_cpu_float64 PASSED [ 50%] 2022-11-23T02:04:29.4575159Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_max_reduction_no_dim_cpu_float64 PASSED [ 50%] 2022-11-23T02:04:29.4575331Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_maximum_cpu_float64 PASSED [ 50%] 2022-11-23T02:04:29.4575504Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_mean_cpu_complex128 PASSED [ 50%] 2022-11-23T02:04:29.4575698Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_meshgrid_list_of_tensors_cpu_complex128 PASSED [ 50%] 2022-11-23T02:04:29.4575900Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_min_binary_cpu_float64 PASSED [ 50%] 2022-11-23T02:04:29.4576059Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_mm_cpu_complex128 PASSED [ 50%] 2022-11-23T02:04:29.4576226Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_mode_cpu_float64 PASSED [ 50%] 2022-11-23T02:04:29.4576394Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_mul_cpu_complex128 PASSED [ 50%] 2022-11-23T02:04:29.4576558Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_mul_cpu_float64 PASSED [ 50%] 2022-11-23T02:04:29.4576902Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_multinomial_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 50%] 2022-11-23T02:04:29.4577120Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_mvlgamma_mvlgamma_p_1_cpu_float64 PASSED [ 50%] 2022-11-23T02:04:29.4577310Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_mvlgamma_mvlgamma_p_5_cpu_float64 PASSED [ 51%] 2022-11-23T02:04:29.4577483Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nanmedian_cpu_float64 PASSED [ 51%] 2022-11-23T02:04:29.4577650Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nansum_cpu_float64 PASSED [ 51%] 2022-11-23T02:04:29.4577976Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_narrow_copy_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%] 2022-11-23T02:04:29.4578153Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_narrow_cpu_complex128 PASSED [ 51%] 2022-11-23T02:04:29.4578320Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_narrow_cpu_float64 PASSED [ 51%] 2022-11-23T02:04:29.4578512Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_native_dropout_backward_cpu_float64 PASSED [ 51%] 2022-11-23T02:04:29.4578684Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_neg_cpu_complex128 PASSED [ 51%] 2022-11-23T02:04:29.4578951Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_neg_cpu_float64 PASSED [ 51%] 2022-11-23T02:04:29.4579291Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_new_empty_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%] 2022-11-23T02:04:29.4579636Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_new_full_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%] 2022-11-23T02:04:29.4579974Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_new_full_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%] 2022-11-23T02:04:29.4580304Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_new_ones_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%] 2022-11-23T02:04:29.4580637Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_new_ones_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%] 2022-11-23T02:04:29.4580982Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_new_zeros_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%] 2022-11-23T02:04:29.4581319Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_new_zeros_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%] 2022-11-23T02:04:29.4581532Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional__scaled_dot_product_attention_cpu_float64 PASSED [ 51%] 2022-11-23T02:04:29.4581734Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_adaptive_avg_pool3d_cpu_float64 PASSED [ 51%] 2022-11-23T02:04:29.4581938Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_adaptive_max_pool2d_cpu_float64 PASSED [ 51%] 2022-11-23T02:04:29.4582128Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_avg_pool1d_cpu_float64 PASSED [ 51%] 2022-11-23T02:04:29.4582368Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_conv1d_cpu_complex128 PASSED [ 51%] 2022-11-23T02:04:29.4582555Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_conv2d_cpu_float64 PASSED [ 51%] 2022-11-23T02:04:29.4582744Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_conv_transpose1d_cpu_complex128 PASSED [ 51%] 2022-11-23T02:04:29.4582938Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_conv_transpose2d_cpu_complex128 PASSED [ 51%] 2022-11-23T02:04:29.4583134Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_conv_transpose2d_cpu_float64 PASSED [ 52%] 2022-11-23T02:04:29.4583372Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_conv_transpose3d_cpu_complex128 PASSED [ 52%] 2022-11-23T02:04:29.4583570Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_conv_transpose3d_cpu_float64 PASSED [ 52%] 2022-11-23T02:04:29.4583775Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_cosine_embedding_loss_cpu_float64 PASSED [ 52%] 2022-11-23T02:04:29.4583972Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_cosine_similarity_cpu_float64 PASSED [ 52%] 2022-11-23T02:04:29.4584169Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_cross_entropy_cpu_float64 PASSED [ 52%] 2022-11-23T02:04:29.4584356Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_ctc_loss_cpu_float64 XFAIL [ 52%] 2022-11-23T02:04:29.4584547Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_dropout2d_cpu_float64 PASSED [ 52%] 2022-11-23T02:04:29.4584727Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_dropout3d_cpu_float64 PASSED [ 52%] 2022-11-23T02:04:29.4584924Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_gaussian_nll_loss_cpu_float64 PASSED [ 52%] 2022-11-23T02:04:29.4585112Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_glu_cpu_float64 PASSED [ 52%] 2022-11-23T02:04:29.4585489Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_grid_sample_cpu_float64 SKIPPED (Op claims it doesn't support gradgrad. This is not verified.) [ 52%] 2022-11-23T02:04:29.4585680Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_group_norm_cpu_float64 PASSED [ 52%] 2022-11-23T02:04:29.4585873Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_hardshrink_cpu_float64 PASSED [ 52%] 2022-11-23T02:04:29.4586066Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_hardswish_cpu_float64 PASSED [ 52%] 2022-11-23T02:04:29.4586272Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_interpolate_bicubic_cpu_float64 PASSED [ 52%] 2022-11-23T02:04:29.4586474Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_interpolate_nearest_cpu_float64 PASSED [ 52%] 2022-11-23T02:04:29.4586667Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_layer_norm_cpu_float64 PASSED [ 52%] 2022-11-23T02:04:29.4586846Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_linear_cpu_complex128 PASSED [ 52%] 2022-11-23T02:04:29.4587047Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_local_response_norm_cpu_float64 PASSED [ 52%] 2022-11-23T02:04:29.4587238Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_logsigmoid_cpu_float64 PASSED [ 52%] 2022-11-23T02:04:29.4587435Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_margin_ranking_loss_cpu_float64 PASSED [ 52%] 2022-11-23T02:04:29.4587624Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_max_pool1d_cpu_float64 PASSED [ 52%] 2022-11-23T02:04:29.4587811Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_max_pool2d_cpu_float64 PASSED [ 52%] 2022-11-23T02:04:29.4588031Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_max_pool3d_cpu_float64 PASSED [ 53%] 2022-11-23T02:04:29.4588237Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_max_unpool1d_cpu_float64 SKIPPED (Skipped!) [ 53%] 2022-11-23T02:04:29.4588436Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_max_unpool3d_grad_cpu_float64 PASSED [ 53%] 2022-11-23T02:04:29.4588809Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_multi_margin_loss_cpu_float64 SKIPPED (Op claims it doesn't support gradgrad. This is not verified.) [ 53%] 2022-11-23T02:04:29.4589022Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_multilabel_soft_margin_loss_cpu_float64 PASSED [ 53%] 2022-11-23T02:04:29.4589326Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_normalize_cpu_complex128 PASSED [ 53%] 2022-11-23T02:04:29.4589523Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_pad_circular_cpu_float64 PASSED [ 53%] 2022-11-23T02:04:29.4589723Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_pad_constant_cpu_complex128 PASSED [ 53%] 2022-11-23T02:04:29.4589914Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_pad_constant_cpu_float64 PASSED [ 53%] 2022-11-23T02:04:29.4590107Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_pad_reflect_cpu_float64 PASSED [ 53%] 2022-11-23T02:04:29.4590479Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_pdist_cpu_float64 SKIPPED (Op claims it doesn't support gradgrad. This is not verified.) [ 53%] 2022-11-23T02:04:29.4590686Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_pixel_unshuffle_cpu_complex128 PASSED [ 53%] 2022-11-23T02:04:29.4590883Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_pixel_unshuffle_cpu_float64 PASSED [ 53%] 2022-11-23T02:04:29.4591057Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_relu6_cpu_float64 PASSED [ 53%] 2022-11-23T02:04:29.4591245Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_relu_cpu_float64 PASSED [ 53%] 2022-11-23T02:04:29.4591432Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_rrelu_cpu_float64 PASSED [ 53%] 2022-11-23T02:04:29.4591619Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_softmin_cpu_float64 PASSED [ 53%] 2022-11-23T02:04:29.4591823Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_softmin_with_dtype_cpu_complex128 PASSED [ 53%] 2022-11-23T02:04:29.4592023Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_softmin_with_dtype_cpu_float64 PASSED [ 53%] 2022-11-23T02:04:29.4592217Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_softshrink_cpu_float64 PASSED [ 53%] 2022-11-23T02:04:29.4592409Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_softsign_cpu_complex128 PASSED [ 53%] 2022-11-23T02:04:29.4592603Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_softsign_cpu_float64 PASSED [ 53%] 2022-11-23T02:04:29.4592785Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_tanhshrink_cpu_complex128 PASSED [ 53%] 2022-11-23T02:04:29.4592975Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_tanhshrink_cpu_float64 PASSED [ 54%] 2022-11-23T02:04:29.4593176Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_triplet_margin_loss_cpu_float64 PASSED [ 54%] 2022-11-23T02:04:29.4593394Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_triplet_margin_with_distance_loss_cpu_complex128 PASSED [ 54%] 2022-11-23T02:04:29.4593582Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_unfold_cpu_float64 PASSED [ 54%] 2022-11-23T02:04:29.4593782Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_upsample_bilinear_cpu_float64 PASSED [ 54%] 2022-11-23T02:04:29.4594159Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nonzero_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 54%] 2022-11-23T02:04:29.4594327Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_norm_cpu_float64 PASSED [ 54%] 2022-11-23T02:04:29.4594500Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_norm_fro_cpu_float64 PASSED [ 54%] 2022-11-23T02:04:29.4594676Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_norm_inf_cpu_complex128 PASSED [ 54%] 2022-11-23T02:04:29.4594835Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_norm_inf_cpu_float64 PASSED [ 54%] 2022-11-23T02:04:29.4595052Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_norm_nuc_cpu_complex128 PASSED [ 54%] 2022-11-23T02:04:29.4595251Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_normal_cpu_float64 SKIPPED (Gradients are incorrect!) [ 54%] 2022-11-23T02:04:29.4595420Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_outer_cpu_float64 PASSED [ 54%] 2022-11-23T02:04:29.4595597Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_permute_cpu_complex128 PASSED [ 54%] 2022-11-23T02:04:29.4595770Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_pinverse_cpu_float64 PASSED [ 54%] 2022-11-23T02:04:29.4595974Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_polygamma_polygamma_n_1_cpu_float64 SKIPPED (Skipped!) [ 54%] 2022-11-23T02:04:29.4596176Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_polygamma_polygamma_n_2_cpu_float64 SKIPPED (Skipped!) [ 54%] 2022-11-23T02:04:29.4596343Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_put_cpu_float64 PASSED [ 54%] 2022-11-23T02:04:29.4596503Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_quantile_cpu_float64 PASSED [ 54%] 2022-11-23T02:04:29.4596676Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_rad2deg_cpu_float64 PASSED [ 54%] 2022-11-23T02:04:29.4597023Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_randint_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 54%] 2022-11-23T02:04:29.4597361Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_randn_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 54%] 2022-11-23T02:04:29.4597530Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_ravel_cpu_float64 PASSED [ 54%] 2022-11-23T02:04:29.4597704Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_real_cpu_complex128 PASSED [ 54%] 2022-11-23T02:04:29.4597885Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_reciprocal_cpu_complex128 PASSED [ 55%] 2022-11-23T02:04:29.4598062Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_reciprocal_cpu_float64 PASSED [ 55%] 2022-11-23T02:04:29.4598228Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_renorm_cpu_float64 PASSED [ 55%] 2022-11-23T02:04:29.4598393Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_repeat_cpu_complex128 PASSED [ 55%] 2022-11-23T02:04:29.4598580Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_repeat_interleave_cpu_float64 PASSED [ 55%] 2022-11-23T02:04:29.4598756Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_reshape_as_cpu_complex128 PASSED [ 55%] 2022-11-23T02:04:29.4598928Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_reshape_cpu_float64 PASSED [ 55%] 2022-11-23T02:04:29.4599260Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_resize__cpu_float64 SKIPPED (Skipped! 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[ 55%] 2022-11-23T02:04:29.4602157Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_select_cpu_float64 PASSED [ 55%] 2022-11-23T02:04:29.4602322Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_select_scatter_cpu_float64 PASSED [ 55%] 2022-11-23T02:04:29.4602489Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_sgn_cpu_float64 PASSED [ 55%] 2022-11-23T02:04:29.4602825Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_short_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 56%] 2022-11-23T02:04:29.4603159Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_short_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) 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[ 56%] 2022-11-23T02:04:29.4607050Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_special_i1_cpu_float64 PASSED [ 56%] 2022-11-23T02:04:29.4607414Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_special_laguerre_polynomial_l_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 56%] 2022-11-23T02:04:29.4607627Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_special_log_ndtr_cpu_float64 PASSED [ 56%] 2022-11-23T02:04:29.4607995Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_special_modified_bessel_i1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 56%] 2022-11-23T02:04:29.4608174Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_special_ndtr_cpu_float64 PASSED [ 56%] 2022-11-23T02:04:29.4608383Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_special_polygamma_special_polygamma_n_0_cpu_float64 PASSED [ 56%] 2022-11-23T02:04:29.4608778Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_special_shifted_chebyshev_polynomial_t_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 57%] 2022-11-23T02:04:29.4609173Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_special_shifted_chebyshev_polynomial_u_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 57%] 2022-11-23T02:04:29.4609567Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_special_shifted_chebyshev_polynomial_v_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 57%] 2022-11-23T02:04:29.4609936Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_special_spherical_bessel_j0_cpu_float64 SKIPPED (Skipped! 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[ 57%] 2022-11-23T02:04:29.4610107Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_special_xlog1py_cpu_float64 PASSED [ 57%] 2022-11-23T02:04:29.4610283Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_split_list_args_cpu_float64 PASSED [ 57%] 2022-11-23T02:04:29.4610461Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_split_with_sizes_cpu_float64 PASSED [ 57%] 2022-11-23T02:04:29.4610630Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_stack_cpu_float64 PASSED [ 57%] 2022-11-23T02:04:29.4610802Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_std_cpu_complex128 PASSED [ 57%] 2022-11-23T02:04:29.4610973Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_stft_cpu_complex128 PASSED [ 57%] 2022-11-23T02:04:29.4611142Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_stft_cpu_float64 PASSED [ 57%] 2022-11-23T02:04:29.4611308Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_sub_cpu_float64 PASSED [ 57%] 2022-11-23T02:04:29.4611476Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_sum_cpu_complex128 PASSED [ 57%] 2022-11-23T02:04:29.4611625Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_sum_cpu_float64 PASSED [ 57%] 2022-11-23T02:04:29.4611804Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_sum_to_size_cpu_complex128 PASSED [ 57%] 2022-11-23T02:04:29.4611975Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_svd_cpu_complex128 PASSED [ 57%] 2022-11-23T02:04:29.4612138Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_svd_cpu_float64 PASSED [ 57%] 2022-11-23T02:04:29.4612311Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_symeig_cpu_complex128 PASSED [ 57%] 2022-11-23T02:04:29.4612480Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_symeig_cpu_float64 PASSED [ 57%] 2022-11-23T02:04:29.4612669Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_t_cpu_float64 PASSED [ 57%] 2022-11-23T02:04:29.4612851Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_take_along_dim_cpu_complex128 PASSED [ 57%] 2022-11-23T02:04:29.4613005Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_take_cpu_float64 PASSED [ 57%] 2022-11-23T02:04:29.4613171Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_tan_cpu_complex128 PASSED [ 57%] 2022-11-23T02:04:29.4613341Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_tanh_cpu_complex128 PASSED [ 58%] 2022-11-23T02:04:29.4613537Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_tanh_cpu_float64 PASSED [ 58%] 2022-11-23T02:04:29.4613718Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_tensor_split_cpu_complex128 PASSED [ 58%] 2022-11-23T02:04:29.4613892Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_tensordot_cpu_float64 PASSED [ 58%] 2022-11-23T02:04:29.4614062Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_tile_cpu_complex128 PASSED [ 58%] 2022-11-23T02:04:29.4614229Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_to_cpu_complex128 PASSED [ 58%] 2022-11-23T02:04:29.4614395Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_to_cpu_float64 PASSED [ 58%] 2022-11-23T02:04:29.4614729Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_to_sparse_cpu_complex128 SKIPPED (Skipped! 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[ 58%] 2022-11-23T02:04:29.4614901Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_to_sparse_cpu_float64 PASSED [ 58%] 2022-11-23T02:04:29.4615067Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_trace_cpu_float64 PASSED [ 58%] 2022-11-23T02:04:29.4615244Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_transpose_cpu_complex128 PASSED [ 58%] 2022-11-23T02:04:29.4615419Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_transpose_cpu_float64 PASSED [ 58%] 2022-11-23T02:04:29.4615592Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_trapezoid_cpu_float64 PASSED [ 58%] 2022-11-23T02:04:29.4615765Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_trapz_cpu_complex128 PASSED [ 58%] 2022-11-23T02:04:29.4615929Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_trapz_cpu_float64 PASSED [ 58%] 2022-11-23T02:04:29.4616114Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_triangular_solve_cpu_complex128 PASSED [ 58%] 2022-11-23T02:04:29.4616284Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_triangular_solve_cpu_float64 PASSED [ 58%] 2022-11-23T02:04:29.4616454Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_tril_cpu_complex128 PASSED [ 58%] 2022-11-23T02:04:29.4616622Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_triu_cpu_complex128 PASSED [ 58%] 2022-11-23T02:04:29.4616787Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_trunc_cpu_float64 PASSED [ 58%] 2022-11-23T02:04:29.4616965Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_unflatten_cpu_complex128 PASSED [ 58%] 2022-11-23T02:04:29.4617136Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_unflatten_cpu_float64 PASSED [ 58%] 2022-11-23T02:04:29.4617309Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_unfold_copy_cpu_float64 PASSED [ 58%] 2022-11-23T02:04:29.4617478Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_unfold_cpu_complex128 PASSED [ 58%] 2022-11-23T02:04:29.4617820Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_uniform_cpu_complex128 SKIPPED (Skipped! 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[ 59%] 2022-11-23T02:04:29.4618340Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_unsqueeze_cpu_complex128 PASSED [ 59%] 2022-11-23T02:04:29.4618574Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_unsqueeze_cpu_float64 PASSED [ 59%] 2022-11-23T02:04:29.4618842Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_var_cpu_complex128 PASSED [ 59%] 2022-11-23T02:04:29.4619014Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_var_mean_cpu_float64 PASSED [ 59%] 2022-11-23T02:04:29.4619188Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_vdot_cpu_complex128 PASSED [ 59%] 2022-11-23T02:04:29.4619364Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_view_as_cpu_complex128 PASSED [ 59%] 2022-11-23T02:04:29.4619531Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_view_cpu_float64 PASSED [ 59%] 2022-11-23T02:04:29.4619751Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_vsplit_cpu_complex128 PASSED [ 59%] 2022-11-23T02:04:29.4619913Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_vstack_cpu_complex128 PASSED [ 59%] 2022-11-23T02:04:29.4620085Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_vstack_cpu_float64 PASSED [ 59%] 2022-11-23T02:04:29.4620254Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_where_cpu_complex128 PASSED [ 59%] 2022-11-23T02:04:29.4620418Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_where_cpu_float64 PASSED [ 59%] 2022-11-23T02:04:29.4620583Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_xlogy_cpu_float64 PASSED [ 59%] 2022-11-23T02:04:29.4620928Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_zeros_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 59%] 2022-11-23T02:04:29.4621134Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_T_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 59%] 2022-11-23T02:04:29.4621342Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad___radd___cpu_complex128 SKIPPED (Op has no inplace variant!) [ 59%] 2022-11-23T02:04:29.4621549Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad___rdiv___cpu_complex128 SKIPPED (Op has no inplace variant!) [ 59%] 2022-11-23T02:04:29.4621738Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad___rdiv___cpu_float64 SKIPPED (Op has no inplace variant!) [ 59%] 2022-11-23T02:04:29.4621949Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad___rmatmul___cpu_complex128 SKIPPED (Op has no inplace variant!) [ 59%] 2022-11-23T02:04:29.4622149Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad___rmod___cpu_float64 SKIPPED (Op has no inplace variant!) [ 59%] 2022-11-23T02:04:29.4622339Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad___rpow___cpu_complex128 SKIPPED (Skipped!) [ 59%] 2022-11-23T02:04:29.4622513Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_acos_cpu_complex128 PASSED [ 59%] 2022-11-23T02:04:29.4622681Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_acos_cpu_float64 PASSED [ 60%] 2022-11-23T02:04:29.4622858Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_acosh_cpu_complex128 PASSED [ 60%] 2022-11-23T02:04:29.4623030Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_add_cpu_complex128 PASSED [ 60%] 2022-11-23T02:04:29.4623198Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_add_cpu_float64 PASSED [ 60%] 2022-11-23T02:04:29.4623360Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_addbmm_cpu_complex128 PASSED [ 60%] 2022-11-23T02:04:29.4623531Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_addbmm_cpu_float64 PASSED [ 60%] 2022-11-23T02:04:29.4623706Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_addcdiv_cpu_complex128 PASSED [ 60%] 2022-11-23T02:04:29.4623877Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_addcmul_cpu_float64 PASSED [ 60%] 2022-11-23T02:04:29.4624048Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_addmm_cpu_complex128 PASSED [ 60%] 2022-11-23T02:04:29.4624278Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_addmm_decomposed_cpu_complex128 PASSED [ 60%] 2022-11-23T02:04:29.4624464Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_addmm_decomposed_cpu_float64 PASSED [ 60%] 2022-11-23T02:04:29.4624633Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_addmv_cpu_float64 PASSED [ 60%] 2022-11-23T02:04:29.4624803Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_addr_cpu_complex128 PASSED [ 60%] 2022-11-23T02:04:29.4624990Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_addr_cpu_float64 PASSED [ 60%] 2022-11-23T02:04:29.4625330Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_all_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 60%] 2022-11-23T02:04:29.4625719Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_allclose_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 60%] 2022-11-23T02:04:29.4625926Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_angle_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 60%] 2022-11-23T02:04:29.4626127Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_angle_cpu_float64 SKIPPED (Op has no inplace variant!) [ 60%] 2022-11-23T02:04:29.4626458Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_any_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 60%] 2022-11-23T02:04:29.4626792Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_arange_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 60%] 2022-11-23T02:04:29.4627127Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_argsort_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 60%] 2022-11-23T02:04:29.4627330Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_as_strided_cpu_complex128 SKIPPED (Numerous errors) [ 60%] 2022-11-23T02:04:29.4627503Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_asin_cpu_complex128 PASSED [ 60%] 2022-11-23T02:04:29.4627669Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_asinh_cpu_complex128 PASSED [ 61%] 2022-11-23T02:04:29.4627837Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_atanh_cpu_float64 PASSED [ 61%] 2022-11-23T02:04:29.4628050Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_atleast_1d_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 61%] 2022-11-23T02:04:29.4628254Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_atleast_2d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 61%] 2022-11-23T02:04:29.4628461Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_atleast_3d_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 61%] 2022-11-23T02:04:29.4628633Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_baddbmm_cpu_float64 PASSED [ 61%] 2022-11-23T02:04:29.4628841Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_bfloat16_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 61%] 2022-11-23T02:04:29.4629046Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_bfloat16_cpu_float64 SKIPPED (Op has no inplace variant!) [ 61%] 2022-11-23T02:04:29.4629310Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_block_diag_cpu_float64 SKIPPED (Op has no inplace variant!) [ 61%] 2022-11-23T02:04:29.4629520Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_bmm_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 61%] 2022-11-23T02:04:29.4629706Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_bmm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 61%] 2022-11-23T02:04:29.4630039Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_bool_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 61%] 2022-11-23T02:04:29.4630260Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_broadcast_tensors_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 61%] 2022-11-23T02:04:29.4630508Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_broadcast_tensors_cpu_float64 SKIPPED (Op has no inplace variant!) [ 61%] 2022-11-23T02:04:29.4630718Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_broadcast_to_cpu_float64 SKIPPED (Op has no inplace variant!) [ 61%] 2022-11-23T02:04:29.4631056Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_byte_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 61%] 2022-11-23T02:04:29.4631385Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_byte_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 61%] 2022-11-23T02:04:29.4631599Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cartesian_prod_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 61%] 2022-11-23T02:04:29.4631836Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cdouble_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 61%] 2022-11-23T02:04:29.4632041Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cdouble_cpu_float64 SKIPPED (Op has no inplace variant!) [ 61%] 2022-11-23T02:04:29.4632229Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cfloat_cpu_float64 SKIPPED (Op has no inplace variant!) [ 61%] 2022-11-23T02:04:29.4632556Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_char_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 61%] 2022-11-23T02:04:29.4632769Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cholesky_solve_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 61%] 2022-11-23T02:04:29.4632968Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_chunk_cpu_float64 SKIPPED (Op has no inplace variant!) [ 61%] 2022-11-23T02:04:29.4633144Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_clamp_min_cpu_float64 PASSED [ 62%] 2022-11-23T02:04:29.4633357Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_combinations_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 62%] 2022-11-23T02:04:29.4633559Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_complex_cpu_float64 SKIPPED (Op has no inplace variant!) [ 62%] 2022-11-23T02:04:29.4633760Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_conj_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 62%] 2022-11-23T02:04:29.4633942Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_conj_physical_cpu_float64 PASSED [ 62%] 2022-11-23T02:04:29.4634154Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_constant_pad_nd_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 62%] 2022-11-23T02:04:29.4634349Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_contiguous_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 62%] 2022-11-23T02:04:29.4634557Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_contiguous_cpu_float64 SKIPPED (Op has no inplace variant!) [ 62%] 2022-11-23T02:04:29.4634762Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_corrcoef_cpu_float64 SKIPPED (Op has no inplace variant!) [ 62%] 2022-11-23T02:04:29.4634930Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cosh_cpu_complex128 PASSED [ 62%] 2022-11-23T02:04:29.4635280Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_count_nonzero_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 62%] 2022-11-23T02:04:29.4635625Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_count_nonzero_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 62%] 2022-11-23T02:04:29.4635826Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cov_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 62%] 2022-11-23T02:04:29.4636024Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cov_cpu_float64 SKIPPED (Op has no inplace variant!) [ 62%] 2022-11-23T02:04:29.4636224Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cummax_cpu_float64 SKIPPED (Op has no inplace variant!) [ 62%] 2022-11-23T02:04:29.4636447Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cummin_cpu_float64 SKIPPED (Op has no inplace variant!) [ 62%] 2022-11-23T02:04:29.4636614Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cumprod_cpu_complex128 PASSED [ 62%] 2022-11-23T02:04:29.4636782Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cumprod_cpu_float64 PASSED [ 62%] 2022-11-23T02:04:29.4636953Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cumsum_cpu_complex128 PASSED [ 62%] 2022-11-23T02:04:29.4637123Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cumsum_cpu_float64 PASSED [ 62%] 2022-11-23T02:04:29.4637337Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cumulative_trapezoid_cpu_float64 SKIPPED (Op has no inplace variant!) [ 62%] 2022-11-23T02:04:29.4637592Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_diagonal_copy_cpu_float64 SKIPPED (Op has no inplace variant!) [ 62%] 2022-11-23T02:04:29.4637802Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_diagonal_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 62%] 2022-11-23T02:04:29.4638010Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_diagonal_cpu_float64 SKIPPED (Op has no inplace variant!) [ 62%] 2022-11-23T02:04:29.4638210Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_diff_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 63%] 2022-11-23T02:04:29.4638405Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_dist_cpu_float64 SKIPPED (Op has no inplace variant!) [ 63%] 2022-11-23T02:04:29.4638579Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_div_floor_rounding_cpu_float64 PASSED [ 63%] 2022-11-23T02:04:29.4638772Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_div_no_rounding_mode_cpu_complex128 PASSED [ 63%] 2022-11-23T02:04:29.4638957Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_div_no_rounding_mode_cpu_float64 PASSED [ 63%] 2022-11-23T02:04:29.4639143Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_div_trunc_rounding_cpu_float64 PASSED [ 63%] 2022-11-23T02:04:29.4639343Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_dot_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 63%] 2022-11-23T02:04:29.4639541Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_double_cpu_float64 SKIPPED (Op has no inplace variant!) [ 63%] 2022-11-23T02:04:29.4639747Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_dstack_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 63%] 2022-11-23T02:04:29.4639946Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_einsum_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 63%] 2022-11-23T02:04:29.4640146Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_einsum_cpu_float64 SKIPPED (Op has no inplace variant!) [ 63%] 2022-11-23T02:04:29.4640469Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_empty_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 63%] 2022-11-23T02:04:29.4640804Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_eq_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 63%] 2022-11-23T02:04:29.4641130Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_eq_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 63%] 2022-11-23T02:04:29.4641462Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_equal_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 63%] 2022-11-23T02:04:29.4641783Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_equal_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 63%] 2022-11-23T02:04:29.4641951Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_erfc_cpu_float64 PASSED [ 63%] 2022-11-23T02:04:29.4642157Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_expand_as_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 63%] 2022-11-23T02:04:29.4642385Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_expand_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 63%] 2022-11-23T02:04:29.4642584Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_expand_cpu_float64 SKIPPED (Op has no inplace variant!) [ 63%] 2022-11-23T02:04:29.4642755Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_expm1_cpu_float64 PASSED [ 63%] 2022-11-23T02:04:29.4642957Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_fft2_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 63%] 2022-11-23T02:04:29.4643152Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_fft_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 63%] 2022-11-23T02:04:29.4643379Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_fft_cpu_float64 SKIPPED (Op has no inplace variant!) [ 63%] 2022-11-23T02:04:29.4643583Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_fftn_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 64%] 2022-11-23T02:04:29.4643779Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_fftn_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%] 2022-11-23T02:04:29.4643987Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_fftshift_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 64%] 2022-11-23T02:04:29.4644189Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_fftshift_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%] 2022-11-23T02:04:29.4644390Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_hfft2_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%] 2022-11-23T02:04:29.4644589Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_hfftn_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%] 2022-11-23T02:04:29.4644788Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_ifft2_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%] 2022-11-23T02:04:29.4644985Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_ifft_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%] 2022-11-23T02:04:29.4645172Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_ifftn_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%] 2022-11-23T02:04:29.4645374Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_ifftshift_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%] 2022-11-23T02:04:29.4645573Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_ihfft2_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%] 2022-11-23T02:04:29.4645772Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_ihfftn_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%] 2022-11-23T02:04:29.4645973Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_irfft2_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 64%] 2022-11-23T02:04:29.4646176Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_irfft_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 64%] 2022-11-23T02:04:29.4646374Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_irfftn_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 64%] 2022-11-23T02:04:29.4646573Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_rfft2_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%] 2022-11-23T02:04:29.4646769Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_rfft_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%] 2022-11-23T02:04:29.4646969Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_rfftn_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%] 2022-11-23T02:04:29.4647132Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fill_cpu_complex128 PASSED [ 64%] 2022-11-23T02:04:29.4647300Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fill_cpu_float64 PASSED [ 64%] 2022-11-23T02:04:29.4647524Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_flatten_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%] 2022-11-23T02:04:29.4647720Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fliplr_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%] 2022-11-23T02:04:29.4647918Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_flipud_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 64%] 2022-11-23T02:04:29.4648118Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_flipud_cpu_float64 SKIPPED (Op has no inplace variant!) [ 65%] 2022-11-23T02:04:29.4648318Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_float_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 65%] 2022-11-23T02:04:29.4648544Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_float_cpu_float64 SKIPPED (Op has no inplace variant!) [ 65%] 2022-11-23T02:04:29.4648723Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_float_power_cpu_complex128 PASSED [ 65%] 2022-11-23T02:04:29.4648883Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_floor_cpu_float64 PASSED [ 65%] 2022-11-23T02:04:29.4649075Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fmax_cpu_float64 SKIPPED (Op has no inplace variant!) [ 65%] 2022-11-23T02:04:29.4649253Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fmod_cpu_float64 PASSED [ 65%] 2022-11-23T02:04:29.4649443Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_frexp_cpu_float64 SKIPPED (Op has no inplace variant!) [ 65%] 2022-11-23T02:04:29.4649775Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_full_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%] 2022-11-23T02:04:29.4650118Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_full_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%] 2022-11-23T02:04:29.4650321Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_gather_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 65%] 2022-11-23T02:04:29.4650522Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_gather_cpu_float64 SKIPPED (Op has no inplace variant!) [ 65%] 2022-11-23T02:04:29.4650861Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_geqrf_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%] 2022-11-23T02:04:29.4651188Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_geqrf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%] 2022-11-23T02:04:29.4651382Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_gradient_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 65%] 2022-11-23T02:04:29.4651591Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_grid_sampler_2d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 65%] 2022-11-23T02:04:29.4651926Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_heaviside_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%] 2022-11-23T02:04:29.4652253Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_histc_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%] 2022-11-23T02:04:29.4652590Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_histogramdd_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%] 2022-11-23T02:04:29.4652790Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_hsplit_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 65%] 2022-11-23T02:04:29.4652991Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_hstack_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 65%] 2022-11-23T02:04:29.4653193Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_hstack_cpu_float64 SKIPPED (Op has no inplace variant!) [ 65%] 2022-11-23T02:04:29.4653356Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_i0_cpu_float64 PASSED [ 65%] 2022-11-23T02:04:29.4653713Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_igamma_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%] 2022-11-23T02:04:29.4654046Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_igammac_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%] 2022-11-23T02:04:29.4654234Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_imag_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 66%] 2022-11-23T02:04:29.4654405Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_index_add_cpu_float64 PASSED [ 66%] 2022-11-23T02:04:29.4654587Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_index_copy_cpu_complex128 PASSED [ 66%] 2022-11-23T02:04:29.4654795Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_index_put_cpu_complex128 PASSED [ 66%] 2022-11-23T02:04:29.4654966Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_index_reduce_cpu_float64 PASSED [ 66%] 2022-11-23T02:04:29.4655174Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_index_select_cpu_float64 SKIPPED (Op has no inplace variant!) [ 66%] 2022-11-23T02:04:29.4655371Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_inner_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 66%] 2022-11-23T02:04:29.4655568Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_inner_cpu_float64 SKIPPED (Op has no inplace variant!) [ 66%] 2022-11-23T02:04:29.4655903Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_int_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%] 2022-11-23T02:04:29.4656218Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_int_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%] 2022-11-23T02:04:29.4656555Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_isfinite_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%] 2022-11-23T02:04:29.4656894Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_isinf_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%] 2022-11-23T02:04:29.4657218Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_isinf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%] 2022-11-23T02:04:29.4657541Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_isnan_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%] 2022-11-23T02:04:29.4657869Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_isneginf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%] 2022-11-23T02:04:29.4658200Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_isposinf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%] 2022-11-23T02:04:29.4658413Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_jiterator_2inputs_2outputs_cpu_complex128 SKIPPED (Only runs on cuda) [ 66%] 2022-11-23T02:04:29.4658634Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_jiterator_4inputs_with_extra_args_cpu_complex128 SKIPPED (Only runs on cuda) [ 66%] 2022-11-23T02:04:29.4658930Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_jiterator_binary_cpu_complex128 SKIPPED (Only runs on cuda) [ 66%] 2022-11-23T02:04:29.4659126Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_jiterator_binary_cpu_float64 SKIPPED (Only runs on cuda) [ 66%] 2022-11-23T02:04:29.4659337Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_jiterator_binary_return_by_ref_cpu_complex128 SKIPPED (Only runs on cuda) [ 66%] 2022-11-23T02:04:29.4659544Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_jiterator_binary_return_by_ref_cpu_float64 SKIPPED (Only runs on cuda) [ 66%] 2022-11-23T02:04:29.4659744Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_kron_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 66%] 2022-11-23T02:04:29.4659987Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_ldexp_cpu_complex128 PASSED [ 67%] 2022-11-23T02:04:29.4660315Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_le_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%] 2022-11-23T02:04:29.4660516Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_cond_cpu_float64 SKIPPED (Op has no inplace variant!) [ 67%] 2022-11-23T02:04:29.4660718Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_cross_cpu_float64 SKIPPED (Op has no inplace variant!) [ 67%] 2022-11-23T02:04:29.4660927Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_det_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 67%] 2022-11-23T02:04:29.4661167Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_det_cpu_float64 SKIPPED (Op has no inplace variant!) [ 67%] 2022-11-23T02:04:29.4661386Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_det_singular_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 67%] 2022-11-23T02:04:29.4661592Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_eig_cpu_float64 SKIPPED (Op has no inplace variant!) [ 67%] 2022-11-23T02:04:29.4661792Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_eigh_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 67%] 2022-11-23T02:04:29.4661999Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_eigvals_cpu_float64 SKIPPED (Op has no inplace variant!) [ 67%] 2022-11-23T02:04:29.4662208Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_eigvalsh_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 67%] 2022-11-23T02:04:29.4662413Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_eigvalsh_cpu_float64 SKIPPED (Op has no inplace variant!) [ 67%] 2022-11-23T02:04:29.4662616Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_inv_ex_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 67%] 2022-11-23T02:04:29.4662821Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_inv_ex_cpu_float64 SKIPPED (Op has no inplace variant!) [ 67%] 2022-11-23T02:04:29.4663176Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_ldl_factor_ex_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%] 2022-11-23T02:04:29.4663525Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_ldl_solve_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%] 2022-11-23T02:04:29.4663871Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_ldl_solve_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%] 2022-11-23T02:04:29.4664062Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_lstsq_cpu_float64 SKIPPED (Skipped!) [ 67%] 2022-11-23T02:04:29.4664272Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_lstsq_grad_oriented_cpu_float64 SKIPPED (Op has no inplace variant!) [ 67%] 2022-11-23T02:04:29.4664482Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_lu_factor_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 67%] 2022-11-23T02:04:29.4664695Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_lu_factor_ex_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 67%] 2022-11-23T02:04:29.4664904Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_lu_factor_ex_cpu_float64 SKIPPED (Op has no inplace variant!) [ 67%] 2022-11-23T02:04:29.4665112Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_lu_solve_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 67%] 2022-11-23T02:04:29.4665317Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_lu_solve_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%] 2022-11-23T02:04:29.4665525Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_matrix_norm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%] 2022-11-23T02:04:29.4665899Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_matrix_rank_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 68%] 2022-11-23T02:04:29.4666111Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_multi_dot_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 68%] 2022-11-23T02:04:29.4666320Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_multi_dot_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%] 2022-11-23T02:04:29.4666520Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_norm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%] 2022-11-23T02:04:29.4666735Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_norm_subgradients_at_zero_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%] 2022-11-23T02:04:29.4666987Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_pinv_hermitian_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 68%] 2022-11-23T02:04:29.4667197Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_pinv_hermitian_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%] 2022-11-23T02:04:29.4667448Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_pinv_singular_cpu_complex128 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 68%] 2022-11-23T02:04:29.4667646Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_qr_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%] 2022-11-23T02:04:29.4667861Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_slogdet_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 68%] 2022-11-23T02:04:29.4668074Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_solve_ex_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 68%] 2022-11-23T02:04:29.4668288Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_solve_triangular_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%] 2022-11-23T02:04:29.4668500Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_svd_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 68%] 2022-11-23T02:04:29.4668702Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_svd_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%] 2022-11-23T02:04:29.4668909Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_svdvals_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%] 2022-11-23T02:04:29.4669105Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_vander_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 68%] 2022-11-23T02:04:29.4669380Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_vander_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%] 2022-11-23T02:04:29.4669594Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_vecdot_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 68%] 2022-11-23T02:04:29.4669795Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_vecdot_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%] 2022-11-23T02:04:29.4670132Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linspace_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 68%] 2022-11-23T02:04:29.4670307Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_log10_cpu_complex128 PASSED [ 68%] 2022-11-23T02:04:29.4670475Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_log10_cpu_float64 PASSED [ 68%] 2022-11-23T02:04:29.4670650Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_log_cpu_complex128 PASSED [ 69%] 2022-11-23T02:04:29.4670817Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_log_cpu_float64 PASSED [ 69%] 2022-11-23T02:04:29.4671029Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_log_softmax_with_dtype_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 69%] 2022-11-23T02:04:29.4671276Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_log_softmax_with_dtype_cpu_float64 SKIPPED (Op has no inplace variant!) [ 69%] 2022-11-23T02:04:29.4671483Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_logaddexp2_cpu_float64 SKIPPED (Op has no inplace variant!) [ 69%] 2022-11-23T02:04:29.4671690Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_logdet_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 69%] 2022-11-23T02:04:29.4671892Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_logdet_cpu_float64 SKIPPED (Op has no inplace variant!) [ 69%] 2022-11-23T02:04:29.4672240Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_logical_and_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 69%] 2022-11-23T02:04:29.4672615Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_logical_not_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 69%] 2022-11-23T02:04:29.4672962Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_logical_or_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 69%] 2022-11-23T02:04:29.4673306Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_logical_xor_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 69%] 2022-11-23T02:04:29.4673647Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_logical_xor_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 69%] 2022-11-23T02:04:29.4673983Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_logspace_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 69%] 2022-11-23T02:04:29.4674308Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_long_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 69%] 2022-11-23T02:04:29.4674507Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_lu_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 69%] 2022-11-23T02:04:29.4674708Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_lu_solve_cpu_float64 SKIPPED (Op has no inplace variant!) [ 69%] 2022-11-23T02:04:29.4674914Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_lu_unpack_cpu_float64 SKIPPED (Op has no inplace variant!) [ 69%] 2022-11-23T02:04:29.4675114Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_mH_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 69%] 2022-11-23T02:04:29.4675313Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_mT_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 69%] 2022-11-23T02:04:29.4675517Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_amax_cpu_float64 SKIPPED (Op has no inplace variant!) [ 69%] 2022-11-23T02:04:29.4675864Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_argmin_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 69%] 2022-11-23T02:04:29.4676079Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_cumprod_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 69%] 2022-11-23T02:04:29.4676289Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_cumsum_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 69%] 2022-11-23T02:04:29.4676456Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_fill_cpu_float64 PASSED [ 69%] 2022-11-23T02:04:29.4676668Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_log_softmax_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:04:29.4676879Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_logaddexp_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:04:29.4677093Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_logsumexp_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:04:29.4677299Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_mean_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:04:29.4677531Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_norm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:04:29.4677736Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_prod_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:04:29.4677917Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_scatter_cpu_float64 PASSED [ 70%] 2022-11-23T02:04:29.4678130Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_select_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:04:29.4678338Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_softmax_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:04:29.4678584Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_softmin_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:04:29.4678778Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_sum_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:04:29.4678982Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_matrix_exp_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:04:29.4679208Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_max_pool2d_with_indices_backward_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:04:29.4679420Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_max_reduction_no_dim_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:04:29.4679634Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_max_reduction_with_dim_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:04:29.4679834Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_maximum_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:04:29.4680050Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_meshgrid_list_of_tensors_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:04:29.4680263Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_min_reduction_no_dim_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:04:29.4680462Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_minimum_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:04:29.4680658Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_mm_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:04:29.4680842Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_mm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:04:29.4681038Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_msort_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:04:29.4681204Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_mul_cpu_float64 PASSED [ 70%] 2022-11-23T02:04:29.4681396Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_mv_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:04:29.4681586Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_mvlgamma_mvlgamma_p_1_cpu_float64 PASSED [ 71%] 2022-11-23T02:04:29.4681775Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_mvlgamma_mvlgamma_p_3_cpu_float64 PASSED [ 71%] 2022-11-23T02:04:29.4681959Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_mvlgamma_mvlgamma_p_5_cpu_float64 PASSED [ 71%] 2022-11-23T02:04:29.4682159Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nanmean_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%] 2022-11-23T02:04:29.4682360Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nanmedian_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%] 2022-11-23T02:04:29.4682713Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_narrow_copy_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 71%] 2022-11-23T02:04:29.4682938Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_narrow_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 71%] 2022-11-23T02:04:29.4683138Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_narrow_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%] 2022-11-23T02:04:29.4683347Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_native_batch_norm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%] 2022-11-23T02:04:29.4683552Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_native_layer_norm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%] 2022-11-23T02:04:29.4683889Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_ne_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 71%] 2022-11-23T02:04:29.4684263Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_new_full_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 71%] 2022-11-23T02:04:29.4684602Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_new_full_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 71%] 2022-11-23T02:04:29.4684941Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nextafter_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 71%] 2022-11-23T02:04:29.4685169Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_adaptive_avg_pool1d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%] 2022-11-23T02:04:29.4685397Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_adaptive_avg_pool2d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%] 2022-11-23T02:04:29.4685612Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_adaptive_avg_pool3d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%] 2022-11-23T02:04:29.4685840Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_adaptive_max_pool1d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%] 2022-11-23T02:04:29.4686072Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_adaptive_max_pool2d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%] 2022-11-23T02:04:29.4686295Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_adaptive_max_pool3d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%] 2022-11-23T02:04:29.4686513Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_avg_pool1d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%] 2022-11-23T02:04:29.4686731Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_batch_norm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%] 2022-11-23T02:04:29.4686948Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_bilinear_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%] 2022-11-23T02:04:29.4687174Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_binary_cross_entropy_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%] 2022-11-23T02:04:29.4687413Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_binary_cross_entropy_with_logits_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%] 2022-11-23T02:04:29.4687599Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_celu_cpu_float64 PASSED [ 72%] 2022-11-23T02:04:29.4687817Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_conv1d_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 72%] 2022-11-23T02:04:29.4688030Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_conv_transpose1d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%] 2022-11-23T02:04:29.4688252Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_conv_transpose2d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%] 2022-11-23T02:04:29.4688497Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_conv_transpose3d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%] 2022-11-23T02:04:29.4688731Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_cosine_embedding_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%] 2022-11-23T02:04:29.4688952Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_cosine_similarity_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%] 2022-11-23T02:04:29.4689170Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_cross_entropy_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%] 2022-11-23T02:04:29.4689356Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_dropout_cpu_float64 PASSED [ 72%] 2022-11-23T02:04:29.4689571Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_elu_cpu_float64 PASSED [ 72%] 2022-11-23T02:04:29.4689791Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_feature_alpha_dropout_without_train_cpu_complex128 PASSED [ 72%] 2022-11-23T02:04:29.4690022Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_fractional_max_pool2d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%] 2022-11-23T02:04:29.4690247Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_fractional_max_pool3d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%] 2022-11-23T02:04:29.4690458Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_gaussian_nll_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%] 2022-11-23T02:04:29.4690668Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_glu_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%] 2022-11-23T02:04:29.4690888Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_hardshrink_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%] 2022-11-23T02:04:29.4691103Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_hardswish_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%] 2022-11-23T02:04:29.4691337Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_hinge_embedding_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%] 2022-11-23T02:04:29.4691555Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_huber_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%] 2022-11-23T02:04:29.4691784Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_interpolate_bilinear_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%] 2022-11-23T02:04:29.4692011Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_interpolate_linear_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%] 2022-11-23T02:04:29.4692243Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_interpolate_trilinear_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%] 2022-11-23T02:04:29.4692456Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_kl_div_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%] 2022-11-23T02:04:29.4692672Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_layer_norm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%] 2022-11-23T02:04:29.4692875Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_linear_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%] 2022-11-23T02:04:29.4693101Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_margin_ranking_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%] 2022-11-23T02:04:29.4693318Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_max_pool1d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%] 2022-11-23T02:04:29.4693534Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_max_pool2d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%] 2022-11-23T02:04:29.4693786Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_max_unpool1d_grad_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%] 2022-11-23T02:04:29.4694006Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_max_unpool2d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%] 2022-11-23T02:04:29.4694224Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_max_unpool3d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%] 2022-11-23T02:04:29.4694444Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_multi_margin_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%] 2022-11-23T02:04:29.4694673Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_multilabel_margin_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%] 2022-11-23T02:04:29.4694915Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_nll_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%] 2022-11-23T02:04:29.4695137Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_normalize_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 73%] 2022-11-23T02:04:29.4695343Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_normalize_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%] 2022-11-23T02:04:29.4695563Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_pad_circular_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%] 2022-11-23T02:04:29.4695795Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_pairwise_distance_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 73%] 2022-11-23T02:04:29.4696020Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_pairwise_distance_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%] 2022-11-23T02:04:29.4696243Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_pixel_shuffle_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 73%] 2022-11-23T02:04:29.4696472Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_pixel_unshuffle_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 73%] 2022-11-23T02:04:29.4696692Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_poisson_nll_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%] 2022-11-23T02:04:29.4696904Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_prelu_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%] 2022-11-23T02:04:29.4697116Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_relu6_cpu_float64 SKIPPED (Op has no inplace variant!) [ 73%] 2022-11-23T02:04:29.4697306Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_rrelu_cpu_float64 PASSED [ 73%] 2022-11-23T02:04:29.4697676Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_silu_complex_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 73%] 2022-11-23T02:04:29.4697852Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_silu_cpu_float64 PASSED [ 74%] 2022-11-23T02:04:29.4698070Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_smooth_l1_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 74%] 2022-11-23T02:04:29.4698296Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_softmin_with_dtype_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 74%] 2022-11-23T02:04:29.4698523Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_softmin_with_dtype_cpu_float64 SKIPPED (Op has no inplace variant!) [ 74%] 2022-11-23T02:04:29.4698836Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_softshrink_cpu_float64 SKIPPED (Op has no inplace variant!) [ 74%] 2022-11-23T02:04:29.4699059Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_softsign_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 74%] 2022-11-23T02:04:29.4699330Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_tanhshrink_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 74%] 2022-11-23T02:04:29.4699524Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_threshold_cpu_float64 PASSED [ 74%] 2022-11-23T02:04:29.4699749Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_triplet_margin_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 74%] 2022-11-23T02:04:29.4699975Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_upsample_bilinear_cpu_float64 SKIPPED (Op has no inplace variant!) [ 74%] 2022-11-23T02:04:29.4700234Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_upsample_nearest_cpu_float64 SKIPPED (Op has no inplace variant!) [ 74%] 2022-11-23T02:04:29.4700565Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nonzero_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 74%] 2022-11-23T02:04:29.4700902Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nonzero_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 74%] 2022-11-23T02:04:29.4701102Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_norm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 74%] 2022-11-23T02:04:29.4701303Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_norm_fro_cpu_float64 SKIPPED (Op has no inplace variant!) [ 74%] 2022-11-23T02:04:29.4701509Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_norm_inf_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 74%] 2022-11-23T02:04:29.4701710Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_norm_nuc_cpu_float64 SKIPPED (Op has no inplace variant!) [ 74%] 2022-11-23T02:04:29.4701909Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_normal_cpu_float64 SKIPPED (Gradients are incorrect!) [ 74%] 2022-11-23T02:04:29.4702124Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_normal_number_mean_cpu_float64 SKIPPED (Gradients are incorrect!) [ 74%] 2022-11-23T02:04:29.4702458Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_ones_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 74%] 2022-11-23T02:04:29.4702798Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_ones_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 74%] 2022-11-23T02:04:29.4702996Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_outer_cpu_float64 SKIPPED (Op has no inplace variant!) [ 74%] 2022-11-23T02:04:29.4703188Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_pca_lowrank_cpu_float64 SKIPPED (Op has no inplace variant!) [ 74%] 2022-11-23T02:04:29.4703397Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_permute_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 75%] 2022-11-23T02:04:29.4703600Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_permute_cpu_float64 SKIPPED (Op has no inplace variant!) [ 75%] 2022-11-23T02:04:29.4703798Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_polar_cpu_float64 SKIPPED (Op has no inplace variant!) [ 75%] 2022-11-23T02:04:29.4704000Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_polygamma_polygamma_n_3_cpu_float64 SKIPPED (Skipped!) [ 75%] 2022-11-23T02:04:29.4704207Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_positive_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 75%] 2022-11-23T02:04:29.4704407Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_prod_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 75%] 2022-11-23T02:04:29.4704606Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_prod_cpu_float64 SKIPPED (Op has no inplace variant!) [ 75%] 2022-11-23T02:04:29.4704806Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_qr_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 75%] 2022-11-23T02:04:29.4705017Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_qr_cpu_float64 SKIPPED (Op has no inplace variant!) [ 75%] 2022-11-23T02:04:29.4705197Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_rad2deg_cpu_float64 PASSED [ 75%] 2022-11-23T02:04:29.4705547Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_rand_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 75%] 2022-11-23T02:04:29.4705884Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_rand_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 75%] 2022-11-23T02:04:29.4706219Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_randint_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 75%] 2022-11-23T02:04:29.4706621Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_randint_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 75%] 2022-11-23T02:04:29.4706962Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_randn_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 75%] 2022-11-23T02:04:29.4707291Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_randn_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 75%] 2022-11-23T02:04:29.4707496Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_ravel_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 75%] 2022-11-23T02:04:29.4707678Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_reciprocal_cpu_complex128 PASSED [ 75%] 2022-11-23T02:04:29.4707850Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_renorm_cpu_complex128 PASSED [ 75%] 2022-11-23T02:04:29.4708047Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_repeat_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 75%] 2022-11-23T02:04:29.4708247Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_repeat_cpu_float64 SKIPPED (Op has no inplace variant!) [ 75%] 2022-11-23T02:04:29.4708588Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_resize__cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 75%] 2022-11-23T02:04:29.4708936Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_resize_as__cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 75%] 2022-11-23T02:04:29.4709330Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_resize_as__cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 75%] 2022-11-23T02:04:29.4709541Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_resolve_neg_cpu_float64 SKIPPED (Op has no inplace variant!) [ 76%] 2022-11-23T02:04:29.4709746Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_rot90_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 76%] 2022-11-23T02:04:29.4709946Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_rot90_cpu_float64 SKIPPED (Op has no inplace variant!) [ 76%] 2022-11-23T02:04:29.4710119Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_round_cpu_float64 PASSED [ 76%] 2022-11-23T02:04:29.4710315Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_round_decimals_3_cpu_float64 SKIPPED (Skipped!) [ 76%] 2022-11-23T02:04:29.4710475Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_rsqrt_cpu_float64 PASSED [ 76%] 2022-11-23T02:04:29.4710679Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_rsub_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 76%] 2022-11-23T02:04:29.4711034Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_scalar_tensor_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%] 2022-11-23T02:04:29.4711381Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_scalar_tensor_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%] 2022-11-23T02:04:29.4711596Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_scatter_add_cpu_complex128 PASSED [ 76%] 2022-11-23T02:04:29.4711776Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_scatter_cpu_complex128 PASSED [ 76%] 2022-11-23T02:04:29.4711962Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_scatter_reduce_amax_cpu_float64 PASSED [ 76%] 2022-11-23T02:04:29.4712148Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_scatter_reduce_amin_cpu_float64 PASSED [ 76%] 2022-11-23T02:04:29.4712332Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_scatter_reduce_prod_cpu_float64 PASSED [ 76%] 2022-11-23T02:04:29.4712539Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_select_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 76%] 2022-11-23T02:04:29.4712755Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_select_cpu_float64 SKIPPED (Op has no inplace variant!) [ 76%] 2022-11-23T02:04:29.4713097Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_short_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%] 2022-11-23T02:04:29.4713430Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_short_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%] 2022-11-23T02:04:29.4713609Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_sigmoid_cpu_complex128 PASSED [ 76%] 2022-11-23T02:04:29.4713779Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_sigmoid_cpu_float64 PASSED [ 76%] 2022-11-23T02:04:29.4714139Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_signal_windows_cosine_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%] 2022-11-23T02:04:29.4714475Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_signbit_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%] 2022-11-23T02:04:29.4714645Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_sin_cpu_float64 PASSED [ 76%] 2022-11-23T02:04:29.4714818Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_sinc_cpu_float64 PASSED [ 76%] 2022-11-23T02:04:29.4714976Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_sinh_cpu_float64 PASSED [ 77%] 2022-11-23T02:04:29.4715178Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_sort_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-11-23T02:04:29.4715397Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_sparse_sampled_addmm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-11-23T02:04:29.4715749Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_bessel_j0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%] 2022-11-23T02:04:29.4716103Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_bessel_y0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%] 2022-11-23T02:04:29.4716480Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_chebyshev_polynomial_u_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%] 2022-11-23T02:04:29.4716870Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_chebyshev_polynomial_v_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 77%] 2022-11-23T02:04:29.4717081Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_entr_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-11-23T02:04:29.4717452Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_hermite_polynomial_h_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%] 2022-11-23T02:04:29.4717827Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_hermite_polynomial_he_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%] 2022-11-23T02:04:29.4718034Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_i0e_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-11-23T02:04:29.4718270Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_log_ndtr_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-11-23T02:04:29.4718624Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_modified_bessel_i0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%] 2022-11-23T02:04:29.4718992Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_modified_bessel_k1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%] 2022-11-23T02:04:29.4719201Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_ndtr_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-11-23T02:04:29.4719617Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_scaled_modified_bessel_k0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%] 2022-11-23T02:04:29.4720015Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_shifted_chebyshev_polynomial_t_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 77%] 2022-11-23T02:04:29.4720411Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_shifted_chebyshev_polynomial_v_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 77%] 2022-11-23T02:04:29.4720805Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_shifted_chebyshev_polynomial_w_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 77%] 2022-11-23T02:04:29.4721016Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_xlog1py_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-11-23T02:04:29.4721219Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_split_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-11-23T02:04:29.4721435Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_split_with_sizes_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 77%] 2022-11-23T02:04:29.4721651Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_split_with_sizes_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-11-23T02:04:29.4721808Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_sqrt_cpu_float64 PASSED [ 77%] 2022-11-23T02:04:29.4721985Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_square_cpu_float64 PASSED [ 78%] 2022-11-23T02:04:29.4722182Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_std_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%] 2022-11-23T02:04:29.4722385Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_stft_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%] 2022-11-23T02:04:29.4722560Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_sub_cpu_complex128 PASSED [ 78%] 2022-11-23T02:04:29.4722727Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_sub_cpu_float64 PASSED [ 78%] 2022-11-23T02:04:29.4722932Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_sum_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%] 2022-11-23T02:04:29.4723127Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_sum_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%] 2022-11-23T02:04:29.4723332Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_sum_to_size_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%] 2022-11-23T02:04:29.4723535Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_svd_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%] 2022-11-23T02:04:29.4723720Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_svd_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%] 2022-11-23T02:04:29.4723921Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_symeig_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%] 2022-11-23T02:04:29.4724090Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_t_cpu_complex128 PASSED [ 78%] 2022-11-23T02:04:29.4724328Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_take_along_dim_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%] 2022-11-23T02:04:29.4724537Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_take_along_dim_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%] 2022-11-23T02:04:29.4724735Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_take_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%] 2022-11-23T02:04:29.4724906Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_tan_cpu_complex128 PASSED [ 78%] 2022-11-23T02:04:29.4725077Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_tanh_cpu_complex128 PASSED [ 78%] 2022-11-23T02:04:29.4725316Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_tensor_split_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%] 2022-11-23T02:04:29.4725500Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_to_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%] 2022-11-23T02:04:29.4725706Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_trace_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%] 2022-11-23T02:04:29.4725904Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_trace_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%] 2022-11-23T02:04:29.4726110Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_trapezoid_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%] 2022-11-23T02:04:29.4726311Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_trapz_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%] 2022-11-23T02:04:29.4726505Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_trapz_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%] 2022-11-23T02:04:29.4726718Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_triangular_solve_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%] 2022-11-23T02:04:29.4726895Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_true_divide_cpu_float64 PASSED [ 79%] 2022-11-23T02:04:29.4727065Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_trunc_cpu_float64 PASSED [ 79%] 2022-11-23T02:04:29.4727264Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_unbind_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%] 2022-11-23T02:04:29.4727456Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_unflatten_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%] 2022-11-23T02:04:29.4727663Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_unfold_copy_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%] 2022-11-23T02:04:29.4727856Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_unfold_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%] 2022-11-23T02:04:29.4728212Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_unique_consecutive_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 79%] 2022-11-23T02:04:29.4728545Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_unique_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 79%] 2022-11-23T02:04:29.4728746Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_var_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%] 2022-11-23T02:04:29.4728946Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_var_mean_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%] 2022-11-23T02:04:29.4729148Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_vdot_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%] 2022-11-23T02:04:29.4729347Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_vdot_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%] 2022-11-23T02:04:29.4729555Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_view_as_complex_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%] 2022-11-23T02:04:29.4729768Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_view_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%] 2022-11-23T02:04:29.4729973Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_vsplit_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%] 2022-11-23T02:04:29.4730185Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_vstack_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%] 2022-11-23T02:04:29.4730389Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_where_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%] 2022-11-23T02:04:29.4730585Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_where_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%] 2022-11-23T02:04:29.4730783Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_xlogy_cpu_float64 PASSED [ 79%] 2022-11-23T02:04:29.4730951Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_zero__cpu_float64 PASSED [ 79%] 2022-11-23T02:04:29.4731293Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_zeros_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 79%] 2022-11-23T02:04:29.4731633Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_zeros_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 79%] 2022-11-23T02:04:29.4731971Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_zeros_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 80%] 2022-11-23T02:04:29.4732194Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_H_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%] 2022-11-23T02:04:29.4732422Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_H_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%] 2022-11-23T02:04:29.4732661Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_T_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%] 2022-11-23T02:04:29.4732894Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_T_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%] 2022-11-23T02:04:29.4733134Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad___getitem___cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%] 2022-11-23T02:04:29.4733371Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad___getitem___cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%] 2022-11-23T02:04:29.4733610Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad___radd___cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%] 2022-11-23T02:04:29.4733849Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad___radd___cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%] 2022-11-23T02:04:29.4734097Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad___rmatmul___cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%] 2022-11-23T02:04:29.4734333Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad___rmatmul___cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%] 2022-11-23T02:04:29.4734531Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad___rpow___cpu_complex128 SKIPPED (Skipped!) [ 80%] 2022-11-23T02:04:29.4734768Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad___rsub___cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%] 2022-11-23T02:04:29.4735009Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad__softmax_backward_data_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%] 2022-11-23T02:04:29.4735186Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_acos_cpu_float64 PASSED [ 80%] 2022-11-23T02:04:29.4735360Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_add_cpu_float64 PASSED [ 80%] 2022-11-23T02:04:29.4735568Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_addbmm_cpu_float64 PASSED [ 80%] 2022-11-23T02:04:29.4735753Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_addcdiv_cpu_complex128 PASSED [ 80%] 2022-11-23T02:04:29.4735925Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_addmm_cpu_float64 PASSED [ 80%] 2022-11-23T02:04:29.4736121Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_addmm_decomposed_cpu_complex128 PASSED [ 80%] 2022-11-23T02:04:29.4736302Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_addmv_cpu_complex128 PASSED [ 80%] 2022-11-23T02:04:29.4736506Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_addr_cpu_complex128 PASSED [ 80%] 2022-11-23T02:04:29.4736668Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_addr_cpu_float64 PASSED [ 80%] 2022-11-23T02:04:29.4737012Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_all_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 80%] 2022-11-23T02:04:29.4737350Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_all_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 81%] 2022-11-23T02:04:29.4737700Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_allclose_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 81%] 2022-11-23T02:04:29.4738040Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_any_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 81%] 2022-11-23T02:04:29.4738381Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_arange_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 81%] 2022-11-23T02:04:29.4738719Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_argmax_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 81%] 2022-11-23T02:04:29.4739154Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_argsort_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 81%] 2022-11-23T02:04:29.4739498Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_argwhere_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 81%] 2022-11-23T02:04:29.4739701Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_as_strided_cpu_complex128 SKIPPED (Numerous errors) [ 81%] 2022-11-23T02:04:29.4739903Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_as_strided_cpu_float64 SKIPPED (Numerous errors) [ 81%] 2022-11-23T02:04:29.4740148Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_as_strided_scatter_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%] 2022-11-23T02:04:29.4740400Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_as_strided_scatter_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%] 2022-11-23T02:04:29.4740579Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_asin_cpu_complex128 PASSED [ 81%] 2022-11-23T02:04:29.4740816Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_asinh_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%] 2022-11-23T02:04:29.4741049Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_asinh_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%] 2022-11-23T02:04:29.4741284Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_atanh_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%] 2022-11-23T02:04:29.4741532Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_atleast_1d_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%] 2022-11-23T02:04:29.4741828Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_atleast_1d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%] 2022-11-23T02:04:29.4742068Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_atleast_2d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%] 2022-11-23T02:04:29.4742247Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_baddbmm_cpu_float64 PASSED [ 81%] 2022-11-23T02:04:29.4742488Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_bfloat16_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%] 2022-11-23T02:04:29.4742714Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_bfloat16_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%] 2022-11-23T02:04:29.4742993Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_block_diag_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%] 2022-11-23T02:04:29.4743228Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_bmm_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%] 2022-11-23T02:04:29.4743461Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_bmm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%] 2022-11-23T02:04:29.4743807Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_bool_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 82%] 2022-11-23T02:04:29.4744058Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_broadcast_tensors_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%] 2022-11-23T02:04:29.4744310Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_broadcast_to_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%] 2022-11-23T02:04:29.4744648Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_byte_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 82%] 2022-11-23T02:04:29.4744984Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_byte_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 82%] 2022-11-23T02:04:29.4745232Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cartesian_prod_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%] 2022-11-23T02:04:29.4745613Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cat_cpu_float64 SKIPPED (TODO(whc) fix pre-existing bug with cat for newly added opinfo for empty+nonempty) [ 82%] 2022-11-23T02:04:29.4745847Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cdist_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%] 2022-11-23T02:04:29.4746072Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cdouble_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%] 2022-11-23T02:04:29.4746247Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_ceil_cpu_float64 PASSED [ 82%] 2022-11-23T02:04:29.4746481Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_chalf_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%] 2022-11-23T02:04:29.4746819Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_char_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 82%] 2022-11-23T02:04:29.4747152Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_char_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 82%] 2022-11-23T02:04:29.4747394Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cholesky_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%] 2022-11-23T02:04:29.4747642Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cholesky_inverse_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%] 2022-11-23T02:04:29.4747904Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_chunk_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%] 2022-11-23T02:04:29.4748081Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_clamp_cpu_float64 PASSED [ 82%] 2022-11-23T02:04:29.4748261Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_clamp_max_cpu_float64 PASSED [ 82%] 2022-11-23T02:04:29.4748503Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_clone_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%] 2022-11-23T02:04:29.4748768Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_column_stack_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%] 2022-11-23T02:04:29.4749016Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_combinations_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%] 2022-11-23T02:04:29.4749329Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_combinations_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%] 2022-11-23T02:04:29.4749570Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_complex_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%] 2022-11-23T02:04:29.4749807Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_conj_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%] 2022-11-23T02:04:29.4749996Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_conj_physical_cpu_complex128 PASSED [ 83%] 2022-11-23T02:04:29.4750185Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_conj_physical_cpu_float64 PASSED [ 83%] 2022-11-23T02:04:29.4750432Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_constant_pad_nd_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%] 2022-11-23T02:04:29.4750672Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_contiguous_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%] 2022-11-23T02:04:29.4750854Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cos_cpu_complex128 PASSED [ 83%] 2022-11-23T02:04:29.4751027Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cos_cpu_float64 PASSED [ 83%] 2022-11-23T02:04:29.4751195Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cosh_cpu_complex128 PASSED [ 83%] 2022-11-23T02:04:29.4751371Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cosh_cpu_float64 PASSED [ 83%] 2022-11-23T02:04:29.4751727Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_count_nonzero_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 83%] 2022-11-23T02:04:29.4751962Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cov_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%] 2022-11-23T02:04:29.4752200Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cross_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%] 2022-11-23T02:04:29.4752435Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cummax_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%] 2022-11-23T02:04:29.4752668Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cummin_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%] 2022-11-23T02:04:29.4752919Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cumulative_trapezoid_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%] 2022-11-23T02:04:29.4753096Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_deg2rad_cpu_float64 PASSED [ 83%] 2022-11-23T02:04:29.4753364Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_diag_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%] 2022-11-23T02:04:29.4753593Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_diag_embed_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%] 2022-11-23T02:04:29.4753831Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_diagflat_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%] 2022-11-23T02:04:29.4754076Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_diagonal_copy_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%] 2022-11-23T02:04:29.4754346Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_diagonal_copy_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%] 2022-11-23T02:04:29.4754588Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_diagonal_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%] 2022-11-23T02:04:29.4754823Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_diff_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%] 2022-11-23T02:04:29.4755058Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_diff_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%] 2022-11-23T02:04:29.4755238Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_digamma_cpu_float64 PASSED [ 84%] 2022-11-23T02:04:29.4755473Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_dist_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%] 2022-11-23T02:04:29.4755673Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_div_no_rounding_mode_cpu_complex128 PASSED [ 84%] 2022-11-23T02:04:29.4755864Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_div_no_rounding_mode_cpu_float64 PASSED [ 84%] 2022-11-23T02:04:29.4756043Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_div_trunc_rounding_cpu_float64 PASSED [ 84%] 2022-11-23T02:04:29.4756280Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_dot_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%] 2022-11-23T02:04:29.4756511Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_dot_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%] 2022-11-23T02:04:29.4756752Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_double_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%] 2022-11-23T02:04:29.4756987Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_double_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%] 2022-11-23T02:04:29.4757224Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_dsplit_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%] 2022-11-23T02:04:29.4757456Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_dsplit_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%] 2022-11-23T02:04:29.4757805Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_empty_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 84%] 2022-11-23T02:04:29.4758135Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_eq_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 84%] 2022-11-23T02:04:29.4758483Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_equal_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 84%] 2022-11-23T02:04:29.4758828Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_equal_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 84%] 2022-11-23T02:04:29.4759030Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_erfc_cpu_float64 PASSED [ 84%] 2022-11-23T02:04:29.4759198Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_erfinv_cpu_float64 PASSED [ 84%] 2022-11-23T02:04:29.4759370Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_exp_cpu_float64 PASSED [ 84%] 2022-11-23T02:04:29.4759612Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_expand_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%] 2022-11-23T02:04:29.4759787Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_expm1_cpu_float64 PASSED [ 84%] 2022-11-23T02:04:29.4760127Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_eye_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 84%] 2022-11-23T02:04:29.4760409Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_fft_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%] 2022-11-23T02:04:29.4760655Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_fftshift_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%] 2022-11-23T02:04:29.4760898Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_hfft2_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%] 2022-11-23T02:04:29.4761138Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_hfft_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%] 2022-11-23T02:04:29.4761376Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_hfftn_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%] 2022-11-23T02:04:29.4761606Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_ifftn_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%] 2022-11-23T02:04:29.4761843Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_ihfft2_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%] 2022-11-23T02:04:29.4762081Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_ihfft_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%] 2022-11-23T02:04:29.4762319Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_ihfftn_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%] 2022-11-23T02:04:29.4762561Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_irfft_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%] 2022-11-23T02:04:29.4762797Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_irfft_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%] 2022-11-23T02:04:29.4763031Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_irfftn_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%] 2022-11-23T02:04:29.4763267Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_rfft_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%] 2022-11-23T02:04:29.4763506Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_flatten_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%] 2022-11-23T02:04:29.4763742Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_flatten_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%] 2022-11-23T02:04:29.4763977Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_flip_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%] 2022-11-23T02:04:29.4764216Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_flipud_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%] 2022-11-23T02:04:29.4764470Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_float_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%] 2022-11-23T02:04:29.4764660Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_float_power_cpu_complex128 PASSED [ 85%] 2022-11-23T02:04:29.4764834Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_floor_cpu_float64 PASSED [ 85%] 2022-11-23T02:04:29.4765180Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_full_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%] 2022-11-23T02:04:29.4765514Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_ge_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%] 2022-11-23T02:04:29.4765781Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_half_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%] 2022-11-23T02:04:29.4766130Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_heaviside_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%] 2022-11-23T02:04:29.4766471Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_histc_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%] 2022-11-23T02:04:29.4766814Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_histogram_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%] 2022-11-23T02:04:29.4766992Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_index_add_cpu_float64 PASSED [ 86%] 2022-11-23T02:04:29.4767174Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_index_copy_cpu_float64 PASSED [ 86%] 2022-11-23T02:04:29.4767349Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_index_fill_cpu_complex128 PASSED [ 86%] 2022-11-23T02:04:29.4767535Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_index_put_cpu_complex128 PASSED [ 86%] 2022-11-23T02:04:29.4767719Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_index_reduce_cpu_float64 PASSED [ 86%] 2022-11-23T02:04:29.4767966Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_index_select_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%] 2022-11-23T02:04:29.4768209Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_index_select_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%] 2022-11-23T02:04:29.4768447Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_inner_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%] 2022-11-23T02:04:29.4768685Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_inner_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%] 2022-11-23T02:04:29.4769025Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_int_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%] 2022-11-23T02:04:29.4769361Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_int_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%] 2022-11-23T02:04:29.4769707Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_isclose_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%] 2022-11-23T02:04:29.4770038Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_isfinite_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%] 2022-11-23T02:04:29.4770379Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_isinf_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%] 2022-11-23T02:04:29.4770715Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_isinf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%] 2022-11-23T02:04:29.4771080Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_isnan_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%] 2022-11-23T02:04:29.4771416Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_isnan_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%] 2022-11-23T02:04:29.4771637Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_jiterator_2inputs_2outputs_cpu_complex128 SKIPPED (Only runs on cuda) [ 86%] 2022-11-23T02:04:29.4771861Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_jiterator_4inputs_with_extra_args_cpu_complex128 SKIPPED (Only runs on cuda) [ 86%] 2022-11-23T02:04:29.4772081Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_jiterator_4inputs_with_extra_args_cpu_float64 SKIPPED (Only runs on cuda) [ 86%] 2022-11-23T02:04:29.4772313Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_jiterator_binary_cpu_float64 SKIPPED (Only runs on cuda) [ 86%] 2022-11-23T02:04:29.4772539Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_jiterator_binary_return_by_ref_cpu_complex128 SKIPPED (Only runs on cuda) [ 86%] 2022-11-23T02:04:29.4772747Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_jiterator_unary_cpu_complex128 SKIPPED (Only runs on cuda) [ 86%] 2022-11-23T02:04:29.4772980Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_ldexp_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%] 2022-11-23T02:04:29.4773302Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_le_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 87%] 2022-11-23T02:04:29.4773480Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_lgamma_cpu_float64 PASSED [ 87%] 2022-11-23T02:04:29.4773726Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_cond_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-11-23T02:04:29.4773964Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_cond_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-11-23T02:04:29.4774206Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_cross_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-11-23T02:04:29.4774445Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_det_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-11-23T02:04:29.4774686Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_eig_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-11-23T02:04:29.4774922Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_eig_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-11-23T02:04:29.4775167Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_eigvals_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-11-23T02:04:29.4775415Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_eigvalsh_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-11-23T02:04:29.4775647Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_inv_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-11-23T02:04:29.4775880Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_inv_ex_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-11-23T02:04:29.4776121Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_inv_ex_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-11-23T02:04:29.4776488Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_ldl_factor_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 87%] 2022-11-23T02:04:29.4776871Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_ldl_solve_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 87%] 2022-11-23T02:04:29.4777132Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_lstsq_grad_oriented_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-11-23T02:04:29.4777367Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_lu_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-11-23T02:04:29.4777615Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_lu_factor_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-11-23T02:04:29.4777890Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_matrix_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-11-23T02:04:29.4778143Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_matrix_power_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-11-23T02:04:29.4778500Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_matrix_rank_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 87%] 2022-11-23T02:04:29.4778972Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_matrix_rank_hermitian_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 87%] 2022-11-23T02:04:29.4779215Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_multi_dot_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-11-23T02:04:29.4779480Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_norm_subgradients_at_zero_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-11-23T02:04:29.4779725Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_pinv_hermitian_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-11-23T02:04:29.4779979Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_pinv_hermitian_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-11-23T02:04:29.4780231Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_pinv_singular_cpu_float64 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 88%] 2022-11-23T02:04:29.4780477Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_qr_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-11-23T02:04:29.4780728Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_slogdet_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-11-23T02:04:29.4780974Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_solve_ex_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-11-23T02:04:29.4781231Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_solve_triangular_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-11-23T02:04:29.4781484Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_solve_triangular_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-11-23T02:04:29.4781719Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_svd_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-11-23T02:04:29.4781968Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_tensorinv_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-11-23T02:04:29.4782255Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_vander_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-11-23T02:04:29.4782504Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_vector_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-11-23T02:04:29.4782846Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linspace_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 88%] 2022-11-23T02:04:29.4783193Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linspace_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 88%] 2022-11-23T02:04:29.4783411Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_log1p_cpu_float64 PASSED [ 88%] 2022-11-23T02:04:29.4783587Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_log2_cpu_float64 PASSED [ 88%] 2022-11-23T02:04:29.4783768Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_log_cpu_complex128 PASSED [ 88%] 2022-11-23T02:04:29.4784030Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_log_softmax_with_dtype_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-11-23T02:04:29.4784274Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_logaddexp2_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-11-23T02:04:29.4784517Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_logaddexp_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-11-23T02:04:29.4784765Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_logcumsumexp_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-11-23T02:04:29.4785008Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_logdet_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-11-23T02:04:29.4785245Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_logdet_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-11-23T02:04:29.4785577Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_logical_not_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 88%] 2022-11-23T02:04:29.4785929Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_logical_xor_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 89%] 2022-11-23T02:04:29.4786272Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_logspace_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 89%] 2022-11-23T02:04:29.4786615Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_long_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 89%] 2022-11-23T02:04:29.4786862Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_lu_solve_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-11-23T02:04:29.4787099Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_lu_solve_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-11-23T02:04:29.4787337Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_lu_unpack_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-11-23T02:04:29.4787568Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_mH_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-11-23T02:04:29.4787810Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_amax_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-11-23T02:04:29.4788053Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_amin_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-11-23T02:04:29.4788428Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_argmin_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 89%] 2022-11-23T02:04:29.4788677Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_cumprod_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-11-23T02:04:29.4788910Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_cumsum_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-11-23T02:04:29.4789098Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_fill_cpu_complex128 PASSED [ 89%] 2022-11-23T02:04:29.4789442Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_median_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-11-23T02:04:29.4789684Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-11-23T02:04:29.4789873Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_scatter_cpu_float64 PASSED [ 89%] 2022-11-23T02:04:29.4790118Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_select_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-11-23T02:04:29.4790358Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_select_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-11-23T02:04:29.4790598Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_softmax_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-11-23T02:04:29.4790843Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_softmin_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-11-23T02:04:29.4791088Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_var_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-11-23T02:04:29.4791329Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_var_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-11-23T02:04:29.4791570Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_matmul_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-11-23T02:04:29.4791799Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_matrix_exp_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-11-23T02:04:29.4792065Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_max_pool2d_with_indices_backward_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-11-23T02:04:29.4792306Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_mean_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-11-23T02:04:29.4792562Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_meshgrid_list_of_tensors_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-11-23T02:04:29.4792820Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_meshgrid_variadic_tensors_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-11-23T02:04:29.4793061Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_min_binary_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-11-23T02:04:29.4793310Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_min_reduction_no_dim_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-11-23T02:04:29.4793562Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_min_reduction_with_dim_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-11-23T02:04:29.4793834Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_mm_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-11-23T02:04:29.4794068Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_mm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-11-23T02:04:29.4794306Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_movedim_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-11-23T02:04:29.4794545Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_movedim_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-11-23T02:04:29.4794796Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_msort_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-11-23T02:04:29.4794976Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_mul_cpu_complex128 PASSED [ 90%] 2022-11-23T02:04:29.4795150Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_mul_cpu_float64 PASSED [ 90%] 2022-11-23T02:04:29.4795500Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_multinomial_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 90%] 2022-11-23T02:04:29.4795682Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nan_to_num_cpu_float64 PASSED [ 90%] 2022-11-23T02:04:29.4795917Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nanmean_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-11-23T02:04:29.4796160Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nanquantile_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-11-23T02:04:29.4796496Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_ne_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 90%] 2022-11-23T02:04:29.4796670Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_neg_cpu_float64 PASSED [ 90%] 2022-11-23T02:04:29.4797017Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_new_empty_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 90%] 2022-11-23T02:04:29.4797351Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_new_empty_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 90%] 2022-11-23T02:04:29.4797711Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_new_empty_strided_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 90%] 2022-11-23T02:04:29.4798063Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nextafter_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%] 2022-11-23T02:04:29.4798328Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_adaptive_avg_pool1d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-11-23T02:04:29.4798583Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_adaptive_avg_pool3d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-11-23T02:04:29.4798845Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_adaptive_max_pool1d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-11-23T02:04:29.4799108Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_adaptive_max_pool3d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-11-23T02:04:29.4799360Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_avg_pool1d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-11-23T02:04:29.4799669Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_avg_pool3d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-11-23T02:04:29.4799920Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_bilinear_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-11-23T02:04:29.4800184Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_binary_cross_entropy_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-11-23T02:04:29.4800457Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_binary_cross_entropy_with_logits_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-11-23T02:04:29.4800741Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_conv1d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-11-23T02:04:29.4800981Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_conv2d_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-11-23T02:04:29.4801231Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_conv2d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-11-23T02:04:29.4801493Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_conv_transpose1d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-11-23T02:04:29.4801754Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_conv_transpose2d_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-11-23T02:04:29.4802012Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_conv_transpose2d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-11-23T02:04:29.4802277Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_conv_transpose3d_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-11-23T02:04:29.4802547Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_cosine_embedding_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-11-23T02:04:29.4802805Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_cross_entropy_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-11-23T02:04:29.4803056Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_ctc_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-11-23T02:04:29.4803258Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_dropout3d_cpu_float64 PASSED [ 91%] 2022-11-23T02:04:29.4803456Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_dropout_cpu_float64 PASSED [ 91%] 2022-11-23T02:04:29.4803714Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_embedding_bag_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-11-23T02:04:29.4803933Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_feature_alpha_dropout_with_train_cpu_float64 PASSED [ 91%] 2022-11-23T02:04:29.4804146Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_feature_alpha_dropout_without_train_cpu_complex128 PASSED [ 92%] 2022-11-23T02:04:29.4804413Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_fractional_max_pool2d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-11-23T02:04:29.4804676Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_fractional_max_pool3d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-11-23T02:04:29.4804958Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_gaussian_nll_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-11-23T02:04:29.4805204Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_gelu_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-11-23T02:04:29.4805454Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_huber_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-11-23T02:04:29.4805716Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_instance_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-11-23T02:04:29.4806011Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_interpolate_nearest_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-11-23T02:04:29.4806280Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_interpolate_trilinear_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-11-23T02:04:29.4806528Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_kl_div_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-11-23T02:04:29.4806780Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_l1_loss_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-11-23T02:04:29.4807024Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_l1_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-11-23T02:04:29.4807213Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_leaky_relu_cpu_float64 PASSED [ 92%] 2022-11-23T02:04:29.4807459Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_linear_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-11-23T02:04:29.4807721Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_local_response_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-11-23T02:04:29.4807971Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_logsigmoid_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-11-23T02:04:29.4808232Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_margin_ranking_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-11-23T02:04:29.4808485Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_max_pool2d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-11-23T02:04:29.4808744Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_max_unpool1d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-11-23T02:04:29.4809009Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_max_unpool1d_grad_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-11-23T02:04:29.4809263Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_max_unpool2d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-11-23T02:04:29.4809524Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_max_unpool2d_grad_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-11-23T02:04:29.4809781Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_max_unpool3d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-11-23T02:04:29.4810068Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_max_unpool3d_grad_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:04:29.4810260Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_mish_cpu_float64 PASSED [ 93%] 2022-11-23T02:04:29.4810517Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_multilabel_soft_margin_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:04:29.4810778Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_pad_circular_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:04:29.4811064Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_pad_constant_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:04:29.4811322Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_pad_reflect_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:04:29.4811575Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_pad_reflect_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:04:29.4811837Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_pairwise_distance_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:04:29.4812096Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_pixel_shuffle_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:04:29.4812352Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_pixel_shuffle_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:04:29.4812616Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_pixel_unshuffle_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:04:29.4812873Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_pixel_unshuffle_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:04:29.4813131Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_poisson_nll_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:04:29.4813378Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_prelu_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:04:29.4813624Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_relu6_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:04:29.4813861Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_relu_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:04:29.4814050Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_rrelu_cpu_float64 PASSED [ 93%] 2022-11-23T02:04:29.4814240Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_selu_cpu_float64 PASSED [ 93%] 2022-11-23T02:04:29.4814623Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_silu_complex_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 93%] 2022-11-23T02:04:29.4814813Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_silu_cpu_float64 PASSED [ 93%] 2022-11-23T02:04:29.4815069Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_smooth_l1_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:04:29.4815345Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_softmin_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:04:29.4815612Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_softmin_with_dtype_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:04:29.4815861Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_softplus_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:04:29.4816109Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_softsign_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-11-23T02:04:29.4816391Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_tanhshrink_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-11-23T02:04:29.4816644Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_tanhshrink_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-11-23T02:04:29.4816881Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_unfold_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-11-23T02:04:29.4817143Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_upsample_nearest_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-11-23T02:04:29.4817492Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nonzero_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 94%] 2022-11-23T02:04:29.4817837Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nonzero_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 94%] 2022-11-23T02:04:29.4818074Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-11-23T02:04:29.4818316Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_norm_fro_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-11-23T02:04:29.4818530Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_normal_number_mean_cpu_float64 SKIPPED (Gradients are incorrect!) [ 94%] 2022-11-23T02:04:29.4819044Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_ones_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 94%] 2022-11-23T02:04:29.4819383Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_ones_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 94%] 2022-11-23T02:04:29.4819731Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_ones_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 94%] 2022-11-23T02:04:29.4819973Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_ormqr_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-11-23T02:04:29.4820211Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_outer_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-11-23T02:04:29.4820437Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_outer_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-11-23T02:04:29.4820677Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_permute_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-11-23T02:04:29.4820919Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_pinverse_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-11-23T02:04:29.4821116Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_polygamma_polygamma_n_0_cpu_float64 PASSED [ 94%] 2022-11-23T02:04:29.4821368Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_polygamma_polygamma_n_1_cpu_float64 SKIPPED (Skipped!) [ 94%] 2022-11-23T02:04:29.4821579Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_polygamma_polygamma_n_3_cpu_float64 SKIPPED (Skipped!) [ 94%] 2022-11-23T02:04:29.4821786Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_polygamma_polygamma_n_4_cpu_float64 SKIPPED (Skipped!) [ 94%] 2022-11-23T02:04:29.4822028Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_positive_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-11-23T02:04:29.4822305Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_positive_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-11-23T02:04:29.4822478Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_put_cpu_float64 PASSED [ 95%] 2022-11-23T02:04:29.4822709Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_qr_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-11-23T02:04:29.4823049Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_rand_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%] 2022-11-23T02:04:29.4823397Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_randint_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%] 2022-11-23T02:04:29.4823737Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_randn_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%] 2022-11-23T02:04:29.4824074Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_randn_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%] 2022-11-23T02:04:29.4824423Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_randn_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%] 2022-11-23T02:04:29.4824663Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_ravel_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-11-23T02:04:29.4824846Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_renorm_cpu_complex128 PASSED [ 95%] 2022-11-23T02:04:29.4825022Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_renorm_cpu_float64 PASSED [ 95%] 2022-11-23T02:04:29.4825260Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_repeat_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-11-23T02:04:29.4825518Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_repeat_interleave_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-11-23T02:04:29.4825766Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_repeat_interleave_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-11-23T02:04:29.4825999Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_reshape_as_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-11-23T02:04:29.4826239Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_reshape_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-11-23T02:04:29.4826593Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_resize__cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%] 2022-11-23T02:04:29.4826834Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_resolve_conj_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-11-23T02:04:29.4827072Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_roll_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-11-23T02:04:29.4827336Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_rot90_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-11-23T02:04:29.4827570Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_rot90_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-11-23T02:04:29.4827746Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_round_cpu_float64 PASSED [ 95%] 2022-11-23T02:04:29.4827943Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_round_decimals_3_cpu_float64 SKIPPED (Skipped!) [ 95%] 2022-11-23T02:04:29.4828146Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_round_decimals_neg_3_cpu_float64 SKIPPED (Skipped!) [ 95%] 2022-11-23T02:04:29.4828414Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_rsub_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-11-23T02:04:29.4828765Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_scalar_tensor_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 96%] 2022-11-23T02:04:29.4828952Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_scatter_add_cpu_complex128 PASSED [ 96%] 2022-11-23T02:04:29.4829134Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_scatter_cpu_complex128 PASSED [ 96%] 2022-11-23T02:04:29.4829378Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_scatter_cpu_float64 PASSED [ 96%] 2022-11-23T02:04:29.4829576Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_scatter_reduce_mean_cpu_float64 PASSED [ 96%] 2022-11-23T02:04:29.4829933Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_searchsorted_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 96%] 2022-11-23T02:04:29.4830193Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_segment_reduce_lengths_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-11-23T02:04:29.4830451Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_segment_reduce_offsets_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-11-23T02:04:29.4830690Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_select_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-11-23T02:04:29.4830868Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sgn_cpu_complex128 PASSED [ 96%] 2022-11-23T02:04:29.4831030Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sgn_cpu_float64 PASSED [ 96%] 2022-11-23T02:04:29.4831371Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_short_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 96%] 2022-11-23T02:04:29.4831546Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sign_cpu_float64 PASSED [ 96%] 2022-11-23T02:04:29.4831909Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_signal_windows_cosine_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 96%] 2022-11-23T02:04:29.4832285Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_signal_windows_exponential_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 96%] 2022-11-23T02:04:29.4832642Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_signal_windows_kaiser_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 96%] 2022-11-23T02:04:29.4832819Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sin_cpu_complex128 PASSED [ 96%] 2022-11-23T02:04:29.4832998Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sinc_cpu_complex128 PASSED [ 96%] 2022-11-23T02:04:29.4833169Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sinh_cpu_complex128 PASSED [ 96%] 2022-11-23T02:04:29.4833439Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_slice_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-11-23T02:04:29.4833679Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_slice_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-11-23T02:04:29.4833913Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_slice_scatter_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-11-23T02:04:29.4834150Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_softmax_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-11-23T02:04:29.4834433Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sparse_sampled_addmm_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-11-23T02:04:29.4834791Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_bessel_j0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%] 2022-11-23T02:04:29.4835143Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_bessel_y1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%] 2022-11-23T02:04:29.4835527Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_chebyshev_polynomial_t_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%] 2022-11-23T02:04:29.4835773Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_erfcx_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-11-23T02:04:29.4836015Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_i1_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-11-23T02:04:29.4836389Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_laguerre_polynomial_l_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%] 2022-11-23T02:04:29.4836633Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_log_ndtr_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-11-23T02:04:29.4837002Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_modified_bessel_i1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%] 2022-11-23T02:04:29.4837371Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_modified_bessel_k0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%] 2022-11-23T02:04:29.4837636Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_polygamma_special_polygamma_n_0_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-11-23T02:04:29.4838021Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_scaled_modified_bessel_k1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%] 2022-11-23T02:04:29.4838431Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_shifted_chebyshev_polynomial_t_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 97%] 2022-11-23T02:04:29.4838832Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_shifted_chebyshev_polynomial_w_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 97%] 2022-11-23T02:04:29.4839066Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_split_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-11-23T02:04:29.4839314Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_split_list_args_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-11-23T02:04:29.4839492Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_square_cpu_float64 PASSED [ 97%] 2022-11-23T02:04:29.4839756Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_stack_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-11-23T02:04:29.4839991Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_stack_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-11-23T02:04:29.4840226Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_std_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-11-23T02:04:29.4840462Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_std_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-11-23T02:04:29.4840741Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_std_mean_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-11-23T02:04:29.4840968Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_stft_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-11-23T02:04:29.4841197Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_stft_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-11-23T02:04:29.4841374Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sub_cpu_complex128 PASSED [ 98%] 2022-11-23T02:04:29.4841608Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sum_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-11-23T02:04:29.4841841Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sum_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-11-23T02:04:29.4842085Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sum_to_size_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-11-23T02:04:29.4842324Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sum_to_size_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-11-23T02:04:29.4842555Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_svd_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-11-23T02:04:29.4842793Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_symeig_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-11-23T02:04:29.4843027Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_symeig_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-11-23T02:04:29.4843275Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_take_along_dim_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-11-23T02:04:29.4843519Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_take_along_dim_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-11-23T02:04:29.4843749Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_take_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-11-23T02:04:29.4843980Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_take_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-11-23T02:04:29.4844155Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tan_cpu_complex128 PASSED [ 98%] 2022-11-23T02:04:29.4844332Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tanh_cpu_complex128 PASSED [ 98%] 2022-11-23T02:04:29.4844580Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tensor_split_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-11-23T02:04:29.4844822Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tensordot_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-11-23T02:04:29.4845094Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tensordot_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-11-23T02:04:29.4845332Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tile_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-11-23T02:04:29.4845564Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tile_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-11-23T02:04:29.4845797Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_to_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-11-23T02:04:29.4846055Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_topk_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-11-23T02:04:29.4846282Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trace_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-11-23T02:04:29.4846512Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trace_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-11-23T02:04:29.4846750Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trapezoid_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-11-23T02:04:29.4846990Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trapezoid_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-11-23T02:04:29.4847231Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trapz_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-11-23T02:04:29.4847464Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trapz_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-11-23T02:04:29.4847713Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_triangular_solve_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-11-23T02:04:29.4847896Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_triu_cpu_complex128 PASSED [ 99%] 2022-11-23T02:04:29.4848068Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_triu_cpu_float64 PASSED [ 99%] 2022-11-23T02:04:29.4848250Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_true_divide_cpu_float64 PASSED [ 99%] 2022-11-23T02:04:29.4848411Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trunc_cpu_float64 PASSED [ 99%] 2022-11-23T02:04:29.4848658Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unfold_copy_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-11-23T02:04:29.4848903Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unfold_copy_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-11-23T02:04:29.4849138Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unfold_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-11-23T02:04:29.4849484Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_uniform_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 99%] 2022-11-23T02:04:29.4849819Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_uniform_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 99%] 2022-11-23T02:04:29.4850177Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unique_consecutive_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 99%] 2022-11-23T02:04:29.4850517Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unique_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 99%] 2022-11-23T02:04:29.4850776Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_var_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-11-23T02:04:29.4851018Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_as_real_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-11-23T02:04:29.4851249Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-11-23T02:04:29.4851482Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_vsplit_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-11-23T02:04:29.4851738Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_vstack_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-11-23T02:04:29.4851916Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_xlogy_cpu_float64 PASSED [ 99%] 2022-11-23T02:04:29.4852095Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zero__cpu_complex128 PASSED [ 99%] 2022-11-23T02:04:29.4852436Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zeros_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 99%] 2022-11-23T02:04:29.4852786Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zeros_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [100%] 2022-11-23T02:04:29.4852796Z 2022-11-23T02:04:29.4852909Z =============================== warnings summary =============================== 2022-11-23T02:04:29.4853126Z ../../../../../opt/conda/lib/python3.7/site-packages/_pytest/config/__init__.py:1171 2022-11-23T02:04:29.4853482Z /opt/conda/lib/python3.7/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis 2022-11-23T02:04:29.4853581Z self._mark_plugins_for_rewrite(hook) 2022-11-23T02:04:29.4853589Z 2022-11-23T02:04:29.4853822Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html 2022-11-23T02:04:29.4854140Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_gradients/test_ops_gradients-0030d15ed559b4f3.xml - 2022-11-23T02:04:29.4854286Z = 889 passed, 1464 skipped, 12 deselected, 19 xfailed, 1 warning in 238.58s (0:03:58) = 2022-11-23T02:04:29.4854458Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them 2022-11-23T02:04:29.4854464Z 2022-11-23T02:04:29.4854824Z ##[endgroup] 2022-11-23T02:04:29.4855116Z FINISHED PRINTING LOG FILE of test_ops_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_gradients_luyhmach) 2022-11-23T02:04:29.4855124Z 2022-11-23T02:06:41.1451825Z 2022-11-23T02:06:41.1452466Z Expand the folded group to see the log file of test_ops_gradients 2022-11-23T02:06:41.1453174Z ##[group]PRINTING LOG FILE of test_ops_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_gradients_d9lfp94d) 2022-11-23T02:06:41.1457003Z Test results will be stored in test-reports/python-pytest/test_ops_gradients/test_ops_gradients-f6a660d760a67d03.xml 2022-11-23T02:06:41.1457536Z ============================= test session starts ============================== 2022-11-23T02:06:41.1460748Z platform linux -- Python 3.7.13, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python 2022-11-23T02:06:41.1461376Z cachedir: .pytest_cache 2022-11-23T02:06:41.1462338Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2022-11-23T02:06:41.1463155Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini 2022-11-23T02:06:41.1464087Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2 2022-11-23T02:06:41.1464815Z collecting ... collected 4845 items / 8 deselected / 4837 selected 2022-11-23T02:06:41.1770138Z Running 2453 items in this shard: test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_H_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_T_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___getitem___cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___radd___cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rdiv___cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rmatmul___cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rmod___cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rmul___cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rpow___cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rpow___cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rsub___cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad__softmax_backward_data_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_abs_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_acos_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_acosh_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_add_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addbmm_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addmm_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addmv_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addmv_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addr_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_all_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_all_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_allclose_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_amax_cpu_float64, 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test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_as_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_copy_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_vsplit_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_vstack_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_where_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_where_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zero__cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zeros_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zeros_like_cpu_complex128 2022-11-23T02:06:41.2017546Z 2022-11-23T02:06:41.2017835Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_H_cpu_float64 SKIPPED (Skipped! 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Operation does support gradgrad) [ 16%] 2022-11-23T02:06:41.2224022Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_special_hermite_polynomial_h_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 16%] 2022-11-23T02:06:41.2224522Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_special_i1e_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 16%] 2022-11-23T02:06:41.2225145Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_special_laguerre_polynomial_l_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 16%] 2022-11-23T02:06:41.2225650Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_special_log_ndtr_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 16%] 2022-11-23T02:06:41.2226257Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_special_modified_bessel_i0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 16%] 2022-11-23T02:06:41.2226754Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_special_ndtri_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 17%] 2022-11-23T02:06:41.2227442Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_special_scaled_modified_bessel_k1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 17%] 2022-11-23T02:06:41.2228123Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_special_shifted_chebyshev_polynomial_v_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 17%] 2022-11-23T02:06:41.2228758Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_special_zeta_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 17%] 2022-11-23T02:06:41.2229301Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_split_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 17%] 2022-11-23T02:06:41.2229824Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_split_with_sizes_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 17%] 2022-11-23T02:06:41.2230304Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_split_with_sizes_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 17%] 2022-11-23T02:06:41.2230775Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_sqrt_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 17%] 2022-11-23T02:06:41.2231222Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_sqrt_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 17%] 2022-11-23T02:06:41.2231686Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_square_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 17%] 2022-11-23T02:06:41.2232152Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_stack_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 17%] 2022-11-23T02:06:41.2232611Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_std_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 17%] 2022-11-23T02:06:41.2233064Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_std_mean_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 17%] 2022-11-23T02:06:41.2233523Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_sub_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 17%] 2022-11-23T02:06:41.2233979Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_sum_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 17%] 2022-11-23T02:06:41.2234446Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_sum_to_size_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 17%] 2022-11-23T02:06:41.2234901Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_sum_to_size_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 17%] 2022-11-23T02:06:41.2235368Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_svd_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 17%] 2022-11-23T02:06:41.2235824Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_svd_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 17%] 2022-11-23T02:06:41.2236277Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_svd_lowrank_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 17%] 2022-11-23T02:06:41.2236740Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_symeig_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 17%] 2022-11-23T02:06:41.2237196Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_t_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 17%] 2022-11-23T02:06:41.2237648Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_t_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 17%] 2022-11-23T02:06:41.2238103Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_take_along_dim_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 17%] 2022-11-23T02:06:41.2238602Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_take_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 18%] 2022-11-23T02:06:41.2239051Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_take_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 18%] 2022-11-23T02:06:41.2239506Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_tan_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 18%] 2022-11-23T02:06:41.2239964Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_tan_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 18%] 2022-11-23T02:06:41.2240461Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_tanh_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 18%] 2022-11-23T02:06:41.2240910Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_tensor_split_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 18%] 2022-11-23T02:06:41.2241382Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_tensordot_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 18%] 2022-11-23T02:06:41.2241841Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_to_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 18%] 2022-11-23T02:06:41.2242304Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_to_sparse_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 18%] 2022-11-23T02:06:41.2242753Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_topk_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 18%] 2022-11-23T02:06:41.2243217Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_trace_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 18%] 2022-11-23T02:06:41.2243691Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_transpose_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 18%] 2022-11-23T02:06:41.2244160Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_trapezoid_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 18%] 2022-11-23T02:06:41.2244617Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_trapz_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 18%] 2022-11-23T02:06:41.2245077Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_trapz_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 18%] 2022-11-23T02:06:41.2245555Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_triangular_solve_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 18%] 2022-11-23T02:06:41.2246027Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_triu_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 18%] 2022-11-23T02:06:41.2246473Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_true_divide_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 18%] 2022-11-23T02:06:41.2246940Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_trunc_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 18%] 2022-11-23T02:06:41.2247395Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_unbind_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 18%] 2022-11-23T02:06:41.2247858Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_unflatten_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 18%] 2022-11-23T02:06:41.2248324Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_unfold_copy_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 18%] 2022-11-23T02:06:41.2248784Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_unfold_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 18%] 2022-11-23T02:06:41.2249429Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_uniform_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 18%] 2022-11-23T02:06:41.2250030Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_uniform_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 18%] 2022-11-23T02:06:41.2250508Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_unsqueeze_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 19%] 2022-11-23T02:06:41.2250963Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_unsqueeze_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 19%] 2022-11-23T02:06:41.2251424Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_var_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 19%] 2022-11-23T02:06:41.2251918Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_var_mean_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 19%] 2022-11-23T02:06:41.2252391Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_view_as_complex_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 19%] 2022-11-23T02:06:41.2252851Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_view_as_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 19%] 2022-11-23T02:06:41.2253319Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_view_copy_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 19%] 2022-11-23T02:06:41.2253780Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_view_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 19%] 2022-11-23T02:06:41.2254238Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_view_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 19%] 2022-11-23T02:06:41.2254686Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_vsplit_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 19%] 2022-11-23T02:06:41.2255146Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_vsplit_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 19%] 2022-11-23T02:06:41.2255603Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_vstack_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 19%] 2022-11-23T02:06:41.2256066Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_where_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 19%] 2022-11-23T02:06:41.2256512Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_zero__cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 19%] 2022-11-23T02:06:41.2256970Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_zero__cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 19%] 2022-11-23T02:06:41.2257548Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_zeros_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 19%] 2022-11-23T02:06:41.2258143Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_zeros_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 19%] 2022-11-23T02:06:41.2258564Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_H_cpu_float64 PASSED [ 19%] 2022-11-23T02:06:41.2259097Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad___getitem___cpu_float64 PASSED [ 19%] 2022-11-23T02:06:41.2259472Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad___rmatmul___cpu_complex128 PASSED [ 19%] 2022-11-23T02:06:41.2259834Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad___rmatmul___cpu_float64 PASSED [ 19%] 2022-11-23T02:06:41.2260177Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad___rsub___cpu_complex128 PASSED [ 19%] 2022-11-23T02:06:41.2260529Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad___rsub___cpu_float64 PASSED [ 19%] 2022-11-23T02:06:41.2260877Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_abs_cpu_complex128 PASSED [ 19%] 2022-11-23T02:06:41.2261289Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_acos_cpu_complex128 PASSED [ 20%] 2022-11-23T02:06:41.2261632Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_acos_cpu_float64 PASSED [ 20%] 2022-11-23T02:06:41.2261982Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_acosh_cpu_complex128 PASSED [ 20%] 2022-11-23T02:06:41.2262337Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_add_cpu_complex128 PASSED [ 20%] 2022-11-23T02:06:41.2262676Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_addbmm_cpu_float64 PASSED [ 20%] 2022-11-23T02:06:41.2263032Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_addcdiv_cpu_complex128 PASSED [ 20%] 2022-11-23T02:06:41.2263428Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_addcdiv_cpu_float64 PASSED [ 20%] 2022-11-23T02:06:41.2263780Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_addcmul_cpu_float64 PASSED [ 20%] 2022-11-23T02:06:41.2264119Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_addmm_cpu_complex128 PASSED [ 20%] 2022-11-23T02:06:41.2264476Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_addmm_cpu_float64 PASSED [ 20%] 2022-11-23T02:06:41.2264846Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_addmm_decomposed_cpu_complex128 PASSED [ 20%] 2022-11-23T02:06:41.2265225Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_addmm_decomposed_cpu_float64 PASSED [ 20%] 2022-11-23T02:06:41.2265577Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_addmv_cpu_float64 PASSED [ 20%] 2022-11-23T02:06:41.2265927Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_addr_cpu_complex128 PASSED [ 20%] 2022-11-23T02:06:41.2266350Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_allclose_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 20%] 2022-11-23T02:06:41.2266749Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_amin_cpu_float64 PASSED [ 20%] 2022-11-23T02:06:41.2267102Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_angle_cpu_complex128 PASSED [ 20%] 2022-11-23T02:06:41.2267452Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_angle_cpu_float64 PASSED [ 20%] 2022-11-23T02:06:41.2267862Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_any_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 20%] 2022-11-23T02:06:41.2268311Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_arange_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 20%] 2022-11-23T02:06:41.2268766Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_argmin_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 20%] 2022-11-23T02:06:41.2269312Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_argwhere_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 20%] 2022-11-23T02:06:41.2269789Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_argwhere_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 20%] 2022-11-23T02:06:41.2270217Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_as_strided_cpu_complex128 SKIPPED (Numerous errors) [ 20%] 2022-11-23T02:06:41.2270612Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_as_strided_scatter_cpu_complex128 XFAIL [ 20%] 2022-11-23T02:06:41.2270993Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_as_strided_scatter_cpu_float64 XFAIL [ 21%] 2022-11-23T02:06:41.2271351Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_asin_cpu_float64 PASSED [ 21%] 2022-11-23T02:06:41.2271691Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_asinh_cpu_complex128 PASSED [ 21%] 2022-11-23T02:06:41.2272043Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_atan2_cpu_float64 PASSED [ 21%] 2022-11-23T02:06:41.2272392Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_atan_cpu_complex128 PASSED [ 21%] 2022-11-23T02:06:41.2272745Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_atan_cpu_float64 PASSED [ 21%] 2022-11-23T02:06:41.2273120Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_atanh_cpu_complex128 PASSED [ 21%] 2022-11-23T02:06:41.2273484Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_atleast_1d_cpu_float64 PASSED [ 21%] 2022-11-23T02:06:41.2273847Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_atleast_3d_cpu_complex128 PASSED [ 21%] 2022-11-23T02:06:41.2274201Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_baddbmm_cpu_complex128 PASSED [ 21%] 2022-11-23T02:06:41.2274563Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_bfloat16_cpu_complex128 XFAIL [ 21%] 2022-11-23T02:06:41.2274917Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_bmm_cpu_complex128 PASSED [ 21%] 2022-11-23T02:06:41.2275296Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_bmm_cpu_float64 PASSED [ 21%] 2022-11-23T02:06:41.2275778Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_bool_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 21%] 2022-11-23T02:06:41.2276259Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_bool_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 21%] 2022-11-23T02:06:41.2276673Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_broadcast_to_cpu_complex128 PASSED [ 21%] 2022-11-23T02:06:41.2277092Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_byte_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 21%] 2022-11-23T02:06:41.2277496Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cartesian_prod_cpu_float64 PASSED [ 21%] 2022-11-23T02:06:41.2277853Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cat_cpu_complex128 PASSED [ 21%] 2022-11-23T02:06:41.2278205Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cat_cpu_float64 PASSED [ 21%] 2022-11-23T02:06:41.2278540Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cfloat_cpu_complex128 XFAIL [ 21%] 2022-11-23T02:06:41.2278892Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cfloat_cpu_float64 XFAIL [ 21%] 2022-11-23T02:06:41.2279236Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_chalf_cpu_float64 XFAIL [ 21%] 2022-11-23T02:06:41.2279639Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_char_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 21%] 2022-11-23T02:06:41.2280083Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_char_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 22%] 2022-11-23T02:06:41.2280493Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cholesky_cpu_complex128 PASSED [ 22%] 2022-11-23T02:06:41.2280860Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cholesky_cpu_float64 PASSED [ 22%] 2022-11-23T02:06:41.2281225Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cholesky_inverse_cpu_float64 PASSED [ 22%] 2022-11-23T02:06:41.2281589Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cholesky_solve_cpu_complex128 PASSED [ 22%] 2022-11-23T02:06:41.2281955Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_chunk_cpu_complex128 PASSED [ 22%] 2022-11-23T02:06:41.2282311Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_clamp_max_cpu_float64 PASSED [ 22%] 2022-11-23T02:06:41.2282670Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_clamp_min_cpu_float64 PASSED [ 22%] 2022-11-23T02:06:41.2283015Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_column_stack_cpu_complex128 PASSED [ 22%] 2022-11-23T02:06:41.2283381Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_column_stack_cpu_float64 PASSED [ 22%] 2022-11-23T02:06:41.2283737Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_complex_cpu_float64 PASSED [ 22%] 2022-11-23T02:06:41.2284094Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_conj_physical_cpu_complex128 PASSED [ 22%] 2022-11-23T02:06:41.2284470Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_constant_pad_nd_cpu_complex128 PASSED [ 22%] 2022-11-23T02:06:41.2284881Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_corrcoef_cpu_complex128 PASSED [ 22%] 2022-11-23T02:06:41.2285243Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cosh_cpu_complex128 PASSED [ 22%] 2022-11-23T02:06:41.2285648Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_count_nonzero_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 22%] 2022-11-23T02:06:41.2286051Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cov_cpu_float64 XFAIL [ 22%] 2022-11-23T02:06:41.2286399Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cross_cpu_complex128 PASSED [ 22%] 2022-11-23T02:06:41.2286753Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cummin_cpu_float64 PASSED [ 22%] 2022-11-23T02:06:41.2287139Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cumprod_cpu_complex128 PASSED [ 22%] 2022-11-23T02:06:41.2287493Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cumsum_cpu_float64 PASSED [ 22%] 2022-11-23T02:06:41.2287867Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_cumulative_trapezoid_cpu_complex128 PASSED [ 22%] 2022-11-23T02:06:41.2288227Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_diag_embed_cpu_float64 PASSED [ 22%] 2022-11-23T02:06:41.2288593Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_diagonal_copy_cpu_float64 PASSED [ 22%] 2022-11-23T02:06:41.2288952Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_diagonal_cpu_float64 PASSED [ 22%] 2022-11-23T02:06:41.2289316Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_diagonal_scatter_cpu_float64 PASSED [ 23%] 2022-11-23T02:06:41.2289666Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_diff_cpu_complex128 PASSED [ 23%] 2022-11-23T02:06:41.2290020Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_dist_cpu_complex128 PASSED [ 23%] 2022-11-23T02:06:41.2290367Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_dist_cpu_float64 PASSED [ 23%] 2022-11-23T02:06:41.2290719Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_div_floor_rounding_cpu_float64 PASSED [ 23%] 2022-11-23T02:06:41.2291097Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_div_no_rounding_mode_cpu_float64 PASSED [ 23%] 2022-11-23T02:06:41.2291459Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_dot_cpu_complex128 PASSED [ 23%] 2022-11-23T02:06:41.2291807Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_dot_cpu_float64 PASSED [ 23%] 2022-11-23T02:06:41.2292146Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_dstack_cpu_complex128 PASSED [ 23%] 2022-11-23T02:06:41.2292557Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_empty_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 23%] 2022-11-23T02:06:41.2293027Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_empty_like_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 23%] 2022-11-23T02:06:41.2293503Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_empty_like_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 23%] 2022-11-23T02:06:41.2293957Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_eq_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 23%] 2022-11-23T02:06:41.2294410Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_equal_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 23%] 2022-11-23T02:06:41.2294807Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_exp_cpu_complex128 PASSED [ 23%] 2022-11-23T02:06:41.2295161Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_exp_cpu_float64 PASSED [ 23%] 2022-11-23T02:06:41.2295508Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_expand_as_cpu_complex128 PASSED [ 23%] 2022-11-23T02:06:41.2295864Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_expand_as_cpu_float64 PASSED [ 23%] 2022-11-23T02:06:41.2296220Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_expand_cpu_complex128 PASSED [ 23%] 2022-11-23T02:06:41.2296601Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_fft2_cpu_float64 PASSED [ 23%] 2022-11-23T02:06:41.2296944Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_fft_cpu_complex128 PASSED [ 23%] 2022-11-23T02:06:41.2297303Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_fftn_cpu_complex128 PASSED [ 23%] 2022-11-23T02:06:41.2297663Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_fftn_cpu_float64 PASSED [ 23%] 2022-11-23T02:06:41.2298016Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_fftshift_cpu_complex128 PASSED [ 23%] 2022-11-23T02:06:41.2298381Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_fftshift_cpu_float64 PASSED [ 24%] 2022-11-23T02:06:41.2298898Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_hfft2_cpu_complex128 PASSED [ 24%] 2022-11-23T02:06:41.2299476Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_hfftn_cpu_complex128 PASSED [ 24%] 2022-11-23T02:06:41.2300146Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_hfftn_cpu_float64 PASSED [ 24%] 2022-11-23T02:06:41.2300832Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_ifft2_cpu_complex128 PASSED [ 24%] 2022-11-23T02:06:41.2301241Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_ifft2_cpu_float64 PASSED [ 24%] 2022-11-23T02:06:41.2301589Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_ifft_cpu_complex128 PASSED [ 24%] 2022-11-23T02:06:41.2301952Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_ifftn_cpu_complex128 PASSED [ 24%] 2022-11-23T02:06:41.2302319Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_ifftshift_cpu_complex128 PASSED [ 24%] 2022-11-23T02:06:41.2302700Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_ifftshift_cpu_float64 PASSED [ 24%] 2022-11-23T02:06:41.2303049Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_ihfft2_cpu_float64 PASSED [ 24%] 2022-11-23T02:06:41.2303407Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_ihfftn_cpu_float64 PASSED [ 24%] 2022-11-23T02:06:41.2303761Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_irfft2_cpu_float64 PASSED [ 24%] 2022-11-23T02:06:41.2304123Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_irfftn_cpu_complex128 PASSED [ 24%] 2022-11-23T02:06:41.2304467Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_rfft2_cpu_float64 PASSED [ 24%] 2022-11-23T02:06:41.2304820Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fft_rfft_cpu_float64 PASSED [ 24%] 2022-11-23T02:06:41.2305172Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fill_cpu_complex128 PASSED [ 24%] 2022-11-23T02:06:41.2305509Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fill_cpu_float64 PASSED [ 24%] 2022-11-23T02:06:41.2305860Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_flatten_cpu_complex128 PASSED [ 24%] 2022-11-23T02:06:41.2306211Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_flatten_cpu_float64 PASSED [ 24%] 2022-11-23T02:06:41.2306566Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fliplr_cpu_float64 PASSED [ 24%] 2022-11-23T02:06:41.2306905Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_flipud_cpu_complex128 PASSED [ 24%] 2022-11-23T02:06:41.2307256Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_float_cpu_complex128 XFAIL [ 24%] 2022-11-23T02:06:41.2307603Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_float_cpu_float64 XFAIL [ 24%] 2022-11-23T02:06:41.2307944Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_float_power_cpu_float64 PASSED [ 24%] 2022-11-23T02:06:41.2308301Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_floor_cpu_float64 PASSED [ 25%] 2022-11-23T02:06:41.2308653Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fmax_cpu_float64 PASSED [ 25%] 2022-11-23T02:06:41.2308999Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_fmin_cpu_float64 PASSED [ 25%] 2022-11-23T02:06:41.2309510Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_frac_cpu_float64 PASSED [ 25%] 2022-11-23T02:06:41.2309929Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_full_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 25%] 2022-11-23T02:06:41.2310401Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_full_like_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 25%] 2022-11-23T02:06:41.2310870Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_full_like_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 25%] 2022-11-23T02:06:41.2311327Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_heaviside_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 25%] 2022-11-23T02:06:41.2311848Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_histogramdd_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 25%] 2022-11-23T02:06:41.2312269Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_hsplit_cpu_complex128 PASSED [ 25%] 2022-11-23T02:06:41.2312627Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_hsplit_cpu_float64 PASSED [ 25%] 2022-11-23T02:06:41.2312970Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_hstack_cpu_complex128 PASSED [ 25%] 2022-11-23T02:06:41.2313325Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_hstack_cpu_float64 PASSED [ 25%] 2022-11-23T02:06:41.2313672Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_hypot_cpu_float64 PASSED [ 25%] 2022-11-23T02:06:41.2314018Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_i0_cpu_float64 PASSED [ 25%] 2022-11-23T02:06:41.2314412Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_igamma_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 25%] 2022-11-23T02:06:41.2314877Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_igammac_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 25%] 2022-11-23T02:06:41.2315286Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_index_add_cpu_float64 PASSED [ 25%] 2022-11-23T02:06:41.2315640Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_index_copy_cpu_complex128 PASSED [ 25%] 2022-11-23T02:06:41.2316004Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_index_fill_cpu_float64 PASSED [ 25%] 2022-11-23T02:06:41.2316358Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_index_put_cpu_float64 PASSED [ 25%] 2022-11-23T02:06:41.2316718Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_index_reduce_cpu_float64 PASSED [ 25%] 2022-11-23T02:06:41.2317073Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_index_select_cpu_complex128 PASSED [ 25%] 2022-11-23T02:06:41.2317497Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_int_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 25%] 2022-11-23T02:06:41.2317954Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_int_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%] 2022-11-23T02:06:41.2318417Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_isclose_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%] 2022-11-23T02:06:41.2318870Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_isinf_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%] 2022-11-23T02:06:41.2319327Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_isnan_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%] 2022-11-23T02:06:41.2319785Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_isneginf_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%] 2022-11-23T02:06:41.2320249Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_isposinf_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%] 2022-11-23T02:06:41.2320732Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_isreal_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%] 2022-11-23T02:06:41.2321143Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_istft_cpu_complex128 XFAIL [ 26%] 2022-11-23T02:06:41.2321544Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_jiterator_2inputs_2outputs_cpu_complex128 SKIPPED (Only runs on cuda) [ 26%] 2022-11-23T02:06:41.2321973Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_jiterator_2inputs_2outputs_cpu_float64 SKIPPED (Only runs on cuda) [ 26%] 2022-11-23T02:06:41.2322391Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_jiterator_4inputs_with_extra_args_cpu_float64 SKIPPED (Only runs on cuda) [ 26%] 2022-11-23T02:06:41.2322869Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_jiterator_binary_cpu_complex128 SKIPPED (Only runs on cuda) [ 26%] 2022-11-23T02:06:41.2323282Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_jiterator_binary_cpu_float64 SKIPPED (Only runs on cuda) [ 26%] 2022-11-23T02:06:41.2323695Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_jiterator_unary_cpu_complex128 SKIPPED (Only runs on cuda) [ 26%] 2022-11-23T02:06:41.2324067Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_kron_cpu_complex128 PASSED [ 26%] 2022-11-23T02:06:41.2324417Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_kron_cpu_float64 PASSED [ 26%] 2022-11-23T02:06:41.2324770Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_ldexp_cpu_complex128 PASSED [ 26%] 2022-11-23T02:06:41.2325179Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_le_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 26%] 2022-11-23T02:06:41.2325567Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_lerp_cpu_complex128 PASSED [ 26%] 2022-11-23T02:06:41.2325921Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_lerp_cpu_float64 PASSED [ 26%] 2022-11-23T02:06:41.2326267Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_lgamma_cpu_float64 PASSED [ 26%] 2022-11-23T02:06:41.2326610Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_cond_cpu_float64 PASSED [ 26%] 2022-11-23T02:06:41.2326976Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_cross_cpu_complex128 PASSED [ 26%] 2022-11-23T02:06:41.2327342Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_det_cpu_float64 PASSED [ 26%] 2022-11-23T02:06:41.2327717Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_det_singular_cpu_complex128 PASSED [ 26%] 2022-11-23T02:06:41.2328084Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_eig_cpu_complex128 PASSED [ 27%] 2022-11-23T02:06:41.2328444Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_eig_cpu_float64 PASSED [ 27%] 2022-11-23T02:06:41.2328811Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_eigh_cpu_complex128 PASSED [ 27%] 2022-11-23T02:06:41.2329173Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_eigh_cpu_float64 PASSED [ 27%] 2022-11-23T02:06:41.2329525Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_eigvals_cpu_float64 PASSED [ 27%] 2022-11-23T02:06:41.2329894Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_eigvalsh_cpu_float64 PASSED [ 27%] 2022-11-23T02:06:41.2330264Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_inv_cpu_complex128 PASSED [ 27%] 2022-11-23T02:06:41.2330621Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_inv_ex_cpu_complex128 PASSED [ 27%] 2022-11-23T02:06:41.2331056Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_ldl_factor_cpu_complex128 SKIPPED (Skipped! 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[ 27%] 2022-11-23T02:06:41.2336186Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_multi_dot_cpu_float64 PASSED [ 27%] 2022-11-23T02:06:41.2336552Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_norm_cpu_float64 PASSED [ 27%] 2022-11-23T02:06:41.2336908Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_pinv_cpu_float64 PASSED [ 27%] 2022-11-23T02:06:41.2337273Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_pinv_hermitian_cpu_float64 PASSED [ 27%] 2022-11-23T02:06:41.2337722Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_pinv_singular_cpu_complex128 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 28%] 2022-11-23T02:06:41.2338158Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_qr_cpu_complex128 PASSED [ 28%] 2022-11-23T02:06:41.2338531Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_slogdet_cpu_complex128 PASSED [ 28%] 2022-11-23T02:06:41.2339082Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_solve_cpu_float64 PASSED [ 28%] 2022-11-23T02:06:41.2339470Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_solve_triangular_cpu_complex128 PASSED [ 28%] 2022-11-23T02:06:41.2339849Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_svd_cpu_complex128 PASSED [ 28%] 2022-11-23T02:06:41.2340207Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_svd_cpu_float64 PASSED [ 28%] 2022-11-23T02:06:41.2340561Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_svdvals_cpu_float64 PASSED [ 28%] 2022-11-23T02:06:41.2340935Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_tensorinv_cpu_complex128 PASSED [ 28%] 2022-11-23T02:06:41.2341318Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_vander_cpu_complex128 PASSED [ 28%] 2022-11-23T02:06:41.2341677Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_vander_cpu_float64 PASSED [ 28%] 2022-11-23T02:06:41.2342037Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_vecdot_cpu_float64 PASSED [ 28%] 2022-11-23T02:06:41.2342406Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_vector_norm_cpu_complex128 PASSED [ 28%] 2022-11-23T02:06:41.2342782Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_vector_norm_cpu_float64 PASSED [ 28%] 2022-11-23T02:06:41.2343197Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linspace_cpu_complex128 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 28%] 2022-11-23T02:06:41.2343613Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_log10_cpu_complex128 PASSED [ 28%] 2022-11-23T02:06:41.2343965Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_log10_cpu_float64 PASSED [ 28%] 2022-11-23T02:06:41.2344380Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_log1p_cpu_float64 PASSED [ 28%] 2022-11-23T02:06:41.2344720Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_log_cpu_complex128 PASSED [ 28%] 2022-11-23T02:06:41.2345067Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_log_cpu_float64 PASSED [ 28%] 2022-11-23T02:06:41.2345442Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_log_softmax_with_dtype_cpu_complex128 PASSED [ 28%] 2022-11-23T02:06:41.2345803Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_logaddexp_cpu_float64 PASSED [ 28%] 2022-11-23T02:06:41.2346165Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_logcumsumexp_cpu_float64 PASSED [ 28%] 2022-11-23T02:06:41.2346570Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_logdet_cpu_complex128 PASSED [ 28%] 2022-11-23T02:06:41.2346922Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_logdet_cpu_float64 PASSED [ 28%] 2022-11-23T02:06:41.2347328Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_logical_and_cpu_float64 SKIPPED (Skipped! 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[ 29%] 2022-11-23T02:06:41.2349027Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_lu_solve_cpu_complex128 PASSED [ 29%] 2022-11-23T02:06:41.2349477Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_lu_solve_cpu_float64 PASSED [ 29%] 2022-11-23T02:06:41.2349838Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_lu_unpack_cpu_complex128 PASSED [ 29%] 2022-11-23T02:06:41.2350196Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_mH_cpu_complex128 PASSED [ 29%] 2022-11-23T02:06:41.2350532Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_mT_cpu_complex128 PASSED [ 29%] 2022-11-23T02:06:41.2350877Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_mT_cpu_float64 PASSED [ 29%] 2022-11-23T02:06:41.2351231Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_amax_cpu_float64 PASSED [ 29%] 2022-11-23T02:06:41.2351576Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_amin_cpu_float64 PASSED [ 29%] 2022-11-23T02:06:41.2351996Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_argmax_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 29%] 2022-11-23T02:06:41.2352426Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_cumprod_cpu_complex128 PASSED [ 29%] 2022-11-23T02:06:41.2352798Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_cumsum_cpu_float64 PASSED [ 29%] 2022-11-23T02:06:41.2353156Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_fill_cpu_complex128 PASSED [ 29%] 2022-11-23T02:06:41.2353520Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_fill_cpu_float64 PASSED [ 29%] 2022-11-23T02:06:41.2353880Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_mean_cpu_float64 PASSED [ 29%] 2022-11-23T02:06:41.2354249Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_normalize_cpu_complex128 PASSED [ 29%] 2022-11-23T02:06:41.2354604Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_prod_cpu_float64 PASSED [ 29%] 2022-11-23T02:06:41.2354972Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_scatter_cpu_complex128 PASSED [ 29%] 2022-11-23T02:06:41.2355352Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_scatter_cpu_float64 PASSED [ 29%] 2022-11-23T02:06:41.2355713Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_select_cpu_complex128 PASSED [ 29%] 2022-11-23T02:06:41.2356121Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_softmin_cpu_float64 PASSED [ 29%] 2022-11-23T02:06:41.2356482Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_masked_var_cpu_float64 PASSED [ 30%] 2022-11-23T02:06:41.2356833Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_matmul_cpu_float64 PASSED [ 30%] 2022-11-23T02:06:41.2357183Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_matrix_exp_cpu_complex128 PASSED [ 30%] 2022-11-23T02:06:41.2357540Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_matrix_exp_cpu_float64 PASSED [ 30%] 2022-11-23T02:06:41.2357896Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_max_binary_cpu_float64 PASSED [ 30%] 2022-11-23T02:06:41.2358288Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_max_reduction_no_dim_cpu_float64 PASSED [ 30%] 2022-11-23T02:06:41.2358668Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_max_reduction_with_dim_cpu_float64 PASSED [ 30%] 2022-11-23T02:06:41.2359033Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_mean_cpu_float64 PASSED [ 30%] 2022-11-23T02:06:41.2359407Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_meshgrid_variadic_tensors_cpu_float64 PASSED [ 30%] 2022-11-23T02:06:41.2359768Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_min_binary_cpu_float64 PASSED [ 30%] 2022-11-23T02:06:41.2360134Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_min_reduction_no_dim_cpu_float64 PASSED [ 30%] 2022-11-23T02:06:41.2360514Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_min_reduction_with_dim_cpu_float64 PASSED [ 30%] 2022-11-23T02:06:41.2360876Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_minimum_cpu_float64 PASSED [ 30%] 2022-11-23T02:06:41.2361216Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_mode_cpu_float64 PASSED [ 30%] 2022-11-23T02:06:41.2361567Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_movedim_cpu_float64 PASSED [ 30%] 2022-11-23T02:06:41.2361921Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_msort_cpu_float64 PASSED [ 30%] 2022-11-23T02:06:41.2362254Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_mul_cpu_float64 PASSED [ 30%] 2022-11-23T02:06:41.2362669Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_multinomial_cpu_float64 SKIPPED (Skipped! Dtype is not in supported backward dtypes!) [ 30%] 2022-11-23T02:06:41.2363079Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_mv_cpu_complex128 PASSED [ 30%] 2022-11-23T02:06:41.2363425Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_mv_cpu_float64 PASSED [ 30%] 2022-11-23T02:06:41.2363776Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_mvlgamma_mvlgamma_p_1_cpu_float64 PASSED [ 30%] 2022-11-23T02:06:41.2364147Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_narrow_cpu_complex128 PASSED [ 30%] 2022-11-23T02:06:41.2364518Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_native_batch_norm_cpu_float64 PASSED [ 30%] 2022-11-23T02:06:41.2364894Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_native_layer_norm_cpu_float64 PASSED [ 30%] 2022-11-23T02:06:41.2365242Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_neg_cpu_complex128 PASSED [ 30%] 2022-11-23T02:06:41.2365591Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_neg_cpu_float64 PASSED [ 31%] 2022-11-23T02:06:41.2366006Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_new_empty_cpu_complex128 SKIPPED (Skipped! 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[ 34%] 2022-11-23T02:06:41.2405909Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_ravel_cpu_complex128 PASSED [ 35%] 2022-11-23T02:06:41.2406252Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_ravel_cpu_float64 PASSED [ 35%] 2022-11-23T02:06:41.2406610Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_reciprocal_cpu_float64 PASSED [ 35%] 2022-11-23T02:06:41.2406968Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_remainder_cpu_float64 PASSED [ 35%] 2022-11-23T02:06:41.2407314Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_renorm_cpu_complex128 PASSED [ 35%] 2022-11-23T02:06:41.2407666Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_repeat_cpu_float64 PASSED [ 35%] 2022-11-23T02:06:41.2408037Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_repeat_interleave_cpu_complex128 PASSED [ 35%] 2022-11-23T02:06:41.2408414Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_reshape_cpu_complex128 PASSED [ 35%] 2022-11-23T02:06:41.2408763Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_reshape_cpu_float64 PASSED [ 35%] 2022-11-23T02:06:41.2409173Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_resize__cpu_float64 SKIPPED (Skipped! 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test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_sum_to_size_cpu_complex128 PASSED [ 38%] 2022-11-23T02:06:41.2437992Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_svd_cpu_float64 PASSED [ 38%] 2022-11-23T02:06:41.2438349Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_symeig_cpu_complex128 PASSED [ 38%] 2022-11-23T02:06:41.2438701Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_t_cpu_complex128 PASSED [ 38%] 2022-11-23T02:06:41.2439048Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_take_cpu_complex128 PASSED [ 38%] 2022-11-23T02:06:41.2439387Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_take_cpu_float64 PASSED [ 38%] 2022-11-23T02:06:41.2439733Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_tan_cpu_complex128 PASSED [ 38%] 2022-11-23T02:06:41.2440114Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_tan_cpu_float64 PASSED [ 38%] 2022-11-23T02:06:41.2440461Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_tensor_split_cpu_complex128 PASSED [ 38%] 2022-11-23T02:06:41.2440826Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_tensordot_cpu_float64 PASSED [ 38%] 2022-11-23T02:06:41.2441181Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_tile_cpu_float64 PASSED [ 38%] 2022-11-23T02:06:41.2441527Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_to_cpu_complex128 PASSED [ 38%] 2022-11-23T02:06:41.2441871Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_to_sparse_cpu_float64 PASSED [ 38%] 2022-11-23T02:06:41.2442222Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_trace_cpu_float64 PASSED [ 38%] 2022-11-23T02:06:41.2463637Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_trapezoid_cpu_complex128 PASSED [ 38%] 2022-11-23T02:06:41.2464022Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_trapz_cpu_complex128 PASSED [ 38%] 2022-11-23T02:06:41.2464399Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_trapz_cpu_float64 PASSED [ 38%] 2022-11-23T02:06:41.2464758Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_tril_cpu_complex128 PASSED [ 38%] 2022-11-23T02:06:41.2465119Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_tril_cpu_float64 PASSED [ 38%] 2022-11-23T02:06:41.2465457Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_trunc_cpu_float64 PASSED [ 38%] 2022-11-23T02:06:41.2465810Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_unbind_cpu_float64 PASSED [ 38%] 2022-11-23T02:06:41.2466172Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_unflatten_cpu_complex128 PASSED [ 38%] 2022-11-23T02:06:41.2466529Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_unfold_copy_cpu_complex128 PASSED [ 39%] 2022-11-23T02:06:41.2466896Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_unfold_cpu_complex128 PASSED [ 39%] 2022-11-23T02:06:41.2467258Z 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[ 40%] 2022-11-23T02:06:41.2477206Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_H_cpu_complex128 PASSED [ 40%] 2022-11-23T02:06:41.2477562Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_H_cpu_float64 PASSED [ 40%] 2022-11-23T02:06:41.2477897Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_T_cpu_float64 PASSED [ 40%] 2022-11-23T02:06:41.2478259Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad___getitem___cpu_float64 PASSED [ 40%] 2022-11-23T02:06:41.2478631Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad___radd___cpu_complex128 PASSED [ 40%] 2022-11-23T02:06:41.2478996Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad___radd___cpu_float64 PASSED [ 40%] 2022-11-23T02:06:41.2479355Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad___rmatmul___cpu_complex128 PASSED [ 40%] 2022-11-23T02:06:41.2479721Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad___rmatmul___cpu_float64 PASSED [ 40%] 2022-11-23T02:06:41.2480085Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad___rsub___cpu_float64 PASSED [ 40%] 2022-11-23T02:06:41.2480426Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_abs_cpu_float64 PASSED [ 40%] 2022-11-23T02:06:41.2480779Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_acos_cpu_float64 PASSED [ 40%] 2022-11-23T02:06:41.2481134Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_add_cpu_complex128 PASSED [ 40%] 2022-11-23T02:06:41.2481490Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_add_cpu_float64 PASSED [ 40%] 2022-11-23T02:06:41.2481838Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_addbmm_cpu_complex128 PASSED [ 40%] 2022-11-23T02:06:41.2482208Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_addbmm_cpu_float64 PASSED [ 40%] 2022-11-23T02:06:41.2482569Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_addcmul_cpu_complex128 PASSED [ 40%] 2022-11-23T02:06:41.2482957Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_addcmul_cpu_float64 PASSED [ 40%] 2022-11-23T02:06:41.2483327Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_addmm_cpu_complex128 PASSED [ 40%] 2022-11-23T02:06:41.2483686Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_addmv_cpu_float64 PASSED [ 40%] 2022-11-23T02:06:41.2484044Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_addr_cpu_complex128 PASSED [ 40%] 2022-11-23T02:06:41.2484389Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_addr_cpu_float64 PASSED [ 40%] 2022-11-23T02:06:41.2484984Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_allclose_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 41%] 2022-11-23T02:06:41.2485451Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_amax_cpu_float64 PASSED [ 41%] 2022-11-23T02:06:41.2485807Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_amin_cpu_float64 PASSED [ 41%] 2022-11-23T02:06:41.2486158Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_angle_cpu_complex128 PASSED [ 41%] 2022-11-23T02:06:41.2486519Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_angle_cpu_float64 PASSED [ 41%] 2022-11-23T02:06:41.2487053Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_arange_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 41%] 2022-11-23T02:06:41.2487638Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_argmin_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 41%] 2022-11-23T02:06:41.2488212Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_argsort_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 41%] 2022-11-23T02:06:41.2488805Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_argwhere_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 41%] 2022-11-23T02:06:41.2489152Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_argwhere_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 41%] 2022-11-23T02:06:41.2489346Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_as_strided_scatter_cpu_complex128 PASSED [ 41%] 2022-11-23T02:06:41.2489533Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_as_strided_scatter_cpu_float64 PASSED [ 41%] 2022-11-23T02:06:41.2489711Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_asin_cpu_complex128 PASSED [ 41%] 2022-11-23T02:06:41.2489886Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_asinh_cpu_complex128 PASSED [ 41%] 2022-11-23T02:06:41.2490045Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_atan2_cpu_float64 PASSED [ 41%] 2022-11-23T02:06:41.2490220Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_atan_cpu_complex128 PASSED [ 41%] 2022-11-23T02:06:41.2490389Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_atan_cpu_float64 PASSED [ 41%] 2022-11-23T02:06:41.2490564Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_atanh_cpu_float64 PASSED [ 41%] 2022-11-23T02:06:41.2490745Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_atleast_1d_cpu_complex128 PASSED [ 41%] 2022-11-23T02:06:41.2490921Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_atleast_2d_cpu_float64 PASSED [ 41%] 2022-11-23T02:06:41.2491098Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_baddbmm_cpu_complex128 PASSED [ 41%] 2022-11-23T02:06:41.2491270Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_bfloat16_cpu_complex128 XFAIL [ 41%] 2022-11-23T02:06:41.2491442Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_block_diag_cpu_float64 PASSED [ 41%] 2022-11-23T02:06:41.2491605Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_bmm_cpu_complex128 PASSED [ 41%] 2022-11-23T02:06:41.2491949Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_bool_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 41%] 2022-11-23T02:06:41.2492313Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_bool_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 42%] 2022-11-23T02:06:41.2492506Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_broadcast_tensors_cpu_complex128 PASSED [ 42%] 2022-11-23T02:06:41.2492692Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_broadcast_tensors_cpu_float64 PASSED [ 42%] 2022-11-23T02:06:41.2492877Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_broadcast_to_cpu_complex128 PASSED [ 42%] 2022-11-23T02:06:41.2493055Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_broadcast_to_cpu_float64 PASSED [ 42%] 2022-11-23T02:06:41.2493436Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_bucketize_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 42%] 2022-11-23T02:06:41.2493775Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_byte_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 42%] 2022-11-23T02:06:41.2493954Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cartesian_prod_cpu_complex128 PASSED [ 42%] 2022-11-23T02:06:41.2494138Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cartesian_prod_cpu_float64 PASSED [ 42%] 2022-11-23T02:06:41.2494523Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cat_cpu_complex128 SKIPPED (TODO(whc) fix pre-existing bug with cat for newly added opinfo for empty+nonempty) [ 42%] 2022-11-23T02:06:41.2494905Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cat_cpu_float64 SKIPPED (TODO(whc) fix pre-existing bug with cat for newly added opinfo for empty+nonempty) [ 42%] 2022-11-23T02:06:41.2495262Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cdist_cpu_float64 SKIPPED (Op claims it doesn't support gradgrad. This is not verified.) [ 42%] 2022-11-23T02:06:41.2495439Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cdouble_cpu_complex128 PASSED [ 42%] 2022-11-23T02:06:41.2495615Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cdouble_cpu_float64 PASSED [ 42%] 2022-11-23T02:06:41.2495788Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_chalf_cpu_complex128 XFAIL [ 42%] 2022-11-23T02:06:41.2495956Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_chalf_cpu_float64 XFAIL [ 42%] 2022-11-23T02:06:41.2496292Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_char_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 42%] 2022-11-23T02:06:41.2496457Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cholesky_cpu_float64 PASSED [ 42%] 2022-11-23T02:06:41.2496650Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cholesky_inverse_cpu_complex128 PASSED [ 42%] 2022-11-23T02:06:41.2496834Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cholesky_inverse_cpu_float64 PASSED [ 42%] 2022-11-23T02:06:41.2497022Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cholesky_solve_cpu_complex128 PASSED [ 42%] 2022-11-23T02:06:41.2497205Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cholesky_solve_cpu_float64 PASSED [ 42%] 2022-11-23T02:06:41.2497377Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_chunk_cpu_complex128 PASSED [ 42%] 2022-11-23T02:06:41.2497548Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_clamp_cpu_float64 PASSED [ 42%] 2022-11-23T02:06:41.2497718Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_clone_cpu_complex128 PASSED [ 43%] 2022-11-23T02:06:41.2497899Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_column_stack_cpu_complex128 PASSED [ 43%] 2022-11-23T02:06:41.2498068Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_combinations_cpu_float64 PASSED [ 43%] 2022-11-23T02:06:41.2498239Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_complex_cpu_float64 PASSED [ 43%] 2022-11-23T02:06:41.2498436Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_conj_cpu_float64 PASSED [ 43%] 2022-11-23T02:06:41.2498624Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_conj_physical_cpu_float64 PASSED [ 43%] 2022-11-23T02:06:41.2498952Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_contiguous_cpu_float64 PASSED [ 43%] 2022-11-23T02:06:41.2499211Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cos_cpu_complex128 PASSED [ 43%] 2022-11-23T02:06:41.2499386Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cos_cpu_float64 PASSED [ 43%] 2022-11-23T02:06:41.2499558Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cosh_cpu_complex128 PASSED [ 43%] 2022-11-23T02:06:41.2499969Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_count_nonzero_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 43%] 2022-11-23T02:06:41.2500130Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cross_cpu_complex128 PASSED [ 43%] 2022-11-23T02:06:41.2500304Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cummax_cpu_float64 PASSED [ 43%] 2022-11-23T02:06:41.2500475Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cummin_cpu_float64 PASSED [ 43%] 2022-11-23T02:06:41.2500653Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cumprod_cpu_complex128 PASSED [ 43%] 2022-11-23T02:06:41.2500828Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_cumsum_cpu_complex128 PASSED [ 43%] 2022-11-23T02:06:41.2500998Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_deg2rad_cpu_float64 PASSED [ 43%] 2022-11-23T02:06:41.2501171Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_diag_embed_cpu_float64 PASSED [ 43%] 2022-11-23T02:06:41.2501353Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_diagflat_cpu_complex128 PASSED [ 43%] 2022-11-23T02:06:41.2501528Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_diagonal_cpu_complex128 PASSED [ 43%] 2022-11-23T02:06:41.2501703Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_diagonal_scatter_cpu_float64 PASSED [ 43%] 2022-11-23T02:06:41.2501871Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_diff_cpu_float64 PASSED [ 43%] 2022-11-23T02:06:41.2502041Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_digamma_cpu_float64 PASSED [ 43%] 2022-11-23T02:06:41.2502228Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_div_no_rounding_mode_cpu_float64 PASSED [ 43%] 2022-11-23T02:06:41.2502399Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_dot_cpu_complex128 PASSED [ 43%] 2022-11-23T02:06:41.2502575Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_double_cpu_complex128 PASSED [ 44%] 2022-11-23T02:06:41.2502755Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_dsplit_cpu_complex128 PASSED [ 44%] 2022-11-23T02:06:41.2502924Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_dsplit_cpu_float64 PASSED [ 44%] 2022-11-23T02:06:41.2503083Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_einsum_cpu_float64 PASSED [ 44%] 2022-11-23T02:06:41.2503419Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_eq_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 44%] 2022-11-23T02:06:41.2503586Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_erf_cpu_float64 PASSED [ 44%] 2022-11-23T02:06:41.2503755Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_erfc_cpu_float64 PASSED [ 44%] 2022-11-23T02:06:41.2503932Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_expand_as_cpu_complex128 PASSED [ 44%] 2022-11-23T02:06:41.2504106Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_expand_as_cpu_float64 PASSED [ 44%] 2022-11-23T02:06:41.2504280Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_expand_cpu_float64 PASSED [ 44%] 2022-11-23T02:06:41.2504619Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_eye_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 44%] 2022-11-23T02:06:41.2504839Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_fft2_cpu_complex128 PASSED [ 44%] 2022-11-23T02:06:41.2505012Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_fft2_cpu_float64 PASSED [ 44%] 2022-11-23T02:06:41.2505175Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_fft_cpu_complex128 PASSED [ 44%] 2022-11-23T02:06:41.2505348Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_fft_cpu_float64 PASSED [ 44%] 2022-11-23T02:06:41.2505514Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_fftn_cpu_float64 PASSED [ 44%] 2022-11-23T02:06:41.2505691Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_hfft2_cpu_complex128 PASSED [ 44%] 2022-11-23T02:06:41.2505907Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_hfft_cpu_complex128 PASSED [ 44%] 2022-11-23T02:06:41.2506082Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_hfftn_cpu_complex128 PASSED [ 44%] 2022-11-23T02:06:41.2506259Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_hfftn_cpu_float64 PASSED [ 44%] 2022-11-23T02:06:41.2506433Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_ifft2_cpu_float64 PASSED [ 44%] 2022-11-23T02:06:41.2506594Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_ifft_cpu_complex128 PASSED [ 44%] 2022-11-23T02:06:41.2506772Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_ifftn_cpu_complex128 PASSED [ 44%] 2022-11-23T02:06:41.2506954Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_ifftshift_cpu_complex128 PASSED [ 44%] 2022-11-23T02:06:41.2507133Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_ifftshift_cpu_float64 PASSED [ 45%] 2022-11-23T02:06:41.2507309Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_ihfft_cpu_float64 PASSED [ 45%] 2022-11-23T02:06:41.2507486Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_irfft_cpu_complex128 PASSED [ 45%] 2022-11-23T02:06:41.2507666Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_irfftn_cpu_complex128 PASSED [ 45%] 2022-11-23T02:06:41.2507840Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_irfftn_cpu_float64 PASSED [ 45%] 2022-11-23T02:06:41.2508010Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_rfft2_cpu_float64 PASSED [ 45%] 2022-11-23T02:06:41.2508168Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fft_rfft_cpu_float64 PASSED [ 45%] 2022-11-23T02:06:41.2508340Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_flatten_cpu_complex128 PASSED [ 45%] 2022-11-23T02:06:41.2508511Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_flip_cpu_complex128 PASSED [ 45%] 2022-11-23T02:06:41.2508686Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fliplr_cpu_complex128 PASSED [ 45%] 2022-11-23T02:06:41.2508856Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fliplr_cpu_float64 PASSED [ 45%] 2022-11-23T02:06:41.2509043Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_float_power_cpu_complex128 PASSED [ 45%] 2022-11-23T02:06:41.2509510Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_floor_divide_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 45%] 2022-11-23T02:06:41.2509684Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_fmod_cpu_float64 PASSED [ 45%] 2022-11-23T02:06:41.2509854Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_frexp_cpu_float64 PASSED [ 45%] 2022-11-23T02:06:41.2510177Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_full_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 45%] 2022-11-23T02:06:41.2510522Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_full_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 45%] 2022-11-23T02:06:41.2510699Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_gather_cpu_complex128 PASSED [ 45%] 2022-11-23T02:06:41.2511077Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_geqrf_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 45%] 2022-11-23T02:06:41.2511257Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_gradient_cpu_float64 PASSED [ 45%] 2022-11-23T02:06:41.2511623Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_grid_sampler_2d_cpu_float64 SKIPPED (Op claims it doesn't support gradgrad. This is not verified.) [ 45%] 2022-11-23T02:06:41.2511955Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_gt_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 45%] 2022-11-23T02:06:41.2512158Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_half_cpu_float64 XFAIL [ 45%] 2022-11-23T02:06:41.2512500Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_histogram_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 45%] 2022-11-23T02:06:41.2512852Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_histogramdd_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 45%] 2022-11-23T02:06:41.2513015Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_hstack_cpu_float64 PASSED [ 46%] 2022-11-23T02:06:41.2513186Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_hypot_cpu_float64 PASSED [ 46%] 2022-11-23T02:06:41.2513352Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_i0_cpu_float64 PASSED [ 46%] 2022-11-23T02:06:41.2513695Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_igamma_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%] 2022-11-23T02:06:41.2513873Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_imag_cpu_complex128 PASSED [ 46%] 2022-11-23T02:06:41.2514055Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_index_copy_cpu_complex128 PASSED [ 46%] 2022-11-23T02:06:41.2514232Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_index_fill_cpu_float64 PASSED [ 46%] 2022-11-23T02:06:41.2514410Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_index_put_cpu_float64 PASSED [ 46%] 2022-11-23T02:06:41.2514591Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_index_reduce_cpu_float64 PASSED [ 46%] 2022-11-23T02:06:41.2514761Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_index_select_cpu_complex128 PASSED [ 46%] 2022-11-23T02:06:41.2514939Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_index_select_cpu_float64 PASSED [ 46%] 2022-11-23T02:06:41.2515114Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_inner_cpu_complex128 PASSED [ 46%] 2022-11-23T02:06:41.2515286Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_inner_cpu_float64 PASSED [ 46%] 2022-11-23T02:06:41.2515625Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_int_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%] 2022-11-23T02:06:41.2515959Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_isin_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%] 2022-11-23T02:06:41.2516299Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_isinf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%] 2022-11-23T02:06:41.2516638Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_isnan_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%] 2022-11-23T02:06:41.2516978Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_isposinf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%] 2022-11-23T02:06:41.2517320Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_isreal_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%] 2022-11-23T02:06:41.2517658Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_isreal_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 46%] 2022-11-23T02:06:41.2517853Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_istft_cpu_complex128 PASSED [ 46%] 2022-11-23T02:06:41.2518070Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_jiterator_2inputs_2outputs_cpu_complex128 SKIPPED (Only runs on cuda) [ 46%] 2022-11-23T02:06:41.2518273Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_jiterator_binary_cpu_float64 SKIPPED (Only runs on cuda) [ 46%] 2022-11-23T02:06:41.2518479Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_jiterator_unary_cpu_complex128 SKIPPED (Only runs on cuda) [ 46%] 2022-11-23T02:06:41.2518655Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_kron_cpu_complex128 PASSED [ 47%] 2022-11-23T02:06:41.2519034Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_le_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 47%] 2022-11-23T02:06:41.2519204Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_lerp_cpu_float64 PASSED [ 47%] 2022-11-23T02:06:41.2519377Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_lgamma_cpu_float64 PASSED [ 47%] 2022-11-23T02:06:41.2519559Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_cond_cpu_complex128 PASSED [ 47%] 2022-11-23T02:06:41.2519722Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_cross_cpu_float64 PASSED [ 47%] 2022-11-23T02:06:41.2519901Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_det_cpu_complex128 PASSED [ 47%] 2022-11-23T02:06:41.2520082Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_eig_cpu_complex128 PASSED [ 47%] 2022-11-23T02:06:41.2520256Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_eig_cpu_float64 PASSED [ 47%] 2022-11-23T02:06:41.2520443Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_eigh_cpu_complex128 PASSED [ 47%] 2022-11-23T02:06:41.2520619Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_eigvals_cpu_float64 PASSED [ 47%] 2022-11-23T02:06:41.2520816Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_householder_product_cpu_float64 PASSED [ 47%] 2022-11-23T02:06:41.2520993Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_inv_cpu_complex128 PASSED [ 47%] 2022-11-23T02:06:41.2521359Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_ldl_factor_ex_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 47%] 2022-11-23T02:06:41.2521702Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_ldl_solve_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 47%] 2022-11-23T02:06:41.2521905Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_lstsq_cpu_complex128 SKIPPED (Skipped!) [ 47%] 2022-11-23T02:06:41.2522100Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_lstsq_cpu_float64 SKIPPED (Skipped!) [ 47%] 2022-11-23T02:06:41.2522291Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_lstsq_grad_oriented_cpu_float64 PASSED [ 47%] 2022-11-23T02:06:41.2522473Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_lu_cpu_complex128 PASSED [ 47%] 2022-11-23T02:06:41.2522647Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_lu_cpu_float64 PASSED [ 47%] 2022-11-23T02:06:41.2522834Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_lu_factor_cpu_complex128 PASSED [ 47%] 2022-11-23T02:06:41.2523023Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_lu_factor_ex_cpu_complex128 PASSED [ 47%] 2022-11-23T02:06:41.2523207Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_lu_factor_ex_cpu_float64 PASSED [ 47%] 2022-11-23T02:06:41.2523392Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_lu_solve_cpu_complex128 PASSED [ 47%] 2022-11-23T02:06:41.2523560Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_lu_solve_cpu_float64 PASSED [ 47%] 2022-11-23T02:06:41.2523776Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_matrix_norm_cpu_float64 PASSED [ 48%] 2022-11-23T02:06:41.2523964Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_matrix_power_cpu_float64 PASSED [ 48%] 2022-11-23T02:06:41.2524324Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_matrix_rank_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 48%] 2022-11-23T02:06:41.2524506Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_norm_cpu_complex128 XFAIL [ 48%] 2022-11-23T02:06:41.2524681Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_norm_cpu_float64 XFAIL [ 48%] 2022-11-23T02:06:41.2524915Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_norm_subgradients_at_zero_cpu_float64 XFAIL [ 48%] 2022-11-23T02:06:41.2525098Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_pinv_cpu_complex128 PASSED [ 48%] 2022-11-23T02:06:41.2525278Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_pinv_cpu_float64 PASSED [ 48%] 2022-11-23T02:06:41.2525454Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_pinv_hermitian_cpu_float64 PASSED [ 48%] 2022-11-23T02:06:41.2525707Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_pinv_singular_cpu_complex128 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 48%] 2022-11-23T02:06:41.2525888Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_slogdet_cpu_float64 PASSED [ 48%] 2022-11-23T02:06:41.2526069Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_solve_cpu_complex128 PASSED [ 48%] 2022-11-23T02:06:41.2526257Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_solve_ex_cpu_complex128 PASSED [ 48%] 2022-11-23T02:06:41.2526452Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_solve_triangular_cpu_complex128 PASSED [ 48%] 2022-11-23T02:06:41.2526633Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_svd_cpu_complex128 PASSED [ 48%] 2022-11-23T02:06:41.2526807Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_svd_cpu_float64 PASSED [ 48%] 2022-11-23T02:06:41.2526993Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_svdvals_cpu_complex128 PASSED [ 48%] 2022-11-23T02:06:41.2527159Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_svdvals_cpu_float64 PASSED [ 48%] 2022-11-23T02:06:41.2527342Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_tensorinv_cpu_float64 PASSED [ 48%] 2022-11-23T02:06:41.2527523Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_tensorsolve_cpu_float64 PASSED [ 48%] 2022-11-23T02:06:41.2527701Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_vander_cpu_float64 PASSED [ 48%] 2022-11-23T02:06:41.2527883Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_vecdot_cpu_complex128 PASSED [ 48%] 2022-11-23T02:06:41.2528236Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linspace_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 48%] 2022-11-23T02:06:41.2528582Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linspace_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 48%] 2022-11-23T02:06:41.2528760Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_log10_cpu_complex128 PASSED [ 49%] 2022-11-23T02:06:41.2528933Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_log2_cpu_complex128 PASSED [ 49%] 2022-11-23T02:06:41.2529094Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_log_cpu_complex128 PASSED [ 49%] 2022-11-23T02:06:41.2529274Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_log_softmax_cpu_float64 PASSED [ 49%] 2022-11-23T02:06:41.2529462Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_log_softmax_with_dtype_cpu_float64 PASSED [ 49%] 2022-11-23T02:06:41.2529666Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_logaddexp2_cpu_float64 PASSED [ 49%] 2022-11-23T02:06:41.2529851Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_logcumsumexp_cpu_float64 PASSED [ 49%] 2022-11-23T02:06:41.2530207Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_logical_and_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%] 2022-11-23T02:06:41.2530551Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_logical_not_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%] 2022-11-23T02:06:41.2530903Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_logical_or_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%] 2022-11-23T02:06:41.2531281Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_logical_or_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%] 2022-11-23T02:06:41.2531627Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_logical_xor_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%] 2022-11-23T02:06:41.2531965Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_long_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 49%] 2022-11-23T02:06:41.2532130Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_lu_unpack_cpu_complex128 PASSED [ 49%] 2022-11-23T02:06:41.2532305Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_lu_unpack_cpu_float64 PASSED [ 49%] 2022-11-23T02:06:41.2532473Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_mT_cpu_complex128 PASSED [ 49%] 2022-11-23T02:06:41.2532641Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_mT_cpu_float64 PASSED [ 49%] 2022-11-23T02:06:41.2532815Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_amax_cpu_float64 PASSED [ 49%] 2022-11-23T02:06:41.2532989Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_amin_cpu_float64 PASSED [ 49%] 2022-11-23T02:06:41.2533170Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_cumprod_cpu_float64 PASSED [ 49%] 2022-11-23T02:06:41.2533345Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_cumsum_cpu_float64 PASSED [ 49%] 2022-11-23T02:06:41.2533509Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_fill_cpu_float64 PASSED [ 49%] 2022-11-23T02:06:41.2533707Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_logaddexp_cpu_float64 SKIPPED (Skipped!) [ 49%] 2022-11-23T02:06:41.2533889Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_logsumexp_cpu_float64 PASSED [ 49%] 2022-11-23T02:06:41.2534071Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_mean_cpu_complex128 PASSED [ 49%] 2022-11-23T02:06:41.2534244Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_norm_cpu_float64 PASSED [ 50%] 2022-11-23T02:06:41.2534427Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_prod_cpu_complex128 PASSED [ 50%] 2022-11-23T02:06:41.2534611Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_scatter_cpu_complex128 PASSED [ 50%] 2022-11-23T02:06:41.2534785Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_scatter_cpu_float64 PASSED [ 50%] 2022-11-23T02:06:41.2534969Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_select_cpu_complex128 PASSED [ 50%] 2022-11-23T02:06:41.2535138Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_softmax_cpu_float64 PASSED [ 50%] 2022-11-23T02:06:41.2535311Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_softmin_cpu_float64 PASSED [ 50%] 2022-11-23T02:06:41.2535490Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_std_cpu_complex128 PASSED [ 50%] 2022-11-23T02:06:41.2535661Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_sum_cpu_complex128 PASSED [ 50%] 2022-11-23T02:06:41.2535863Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_var_cpu_complex128 PASSED [ 50%] 2022-11-23T02:06:41.2536040Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_masked_var_cpu_float64 PASSED [ 50%] 2022-11-23T02:06:41.2536230Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_max_reduction_with_dim_cpu_float64 PASSED [ 50%] 2022-11-23T02:06:41.2536395Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_mean_cpu_float64 PASSED [ 50%] 2022-11-23T02:06:41.2536567Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_median_cpu_float64 PASSED [ 50%] 2022-11-23T02:06:41.2536745Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_meshgrid_list_of_tensors_cpu_float64 PASSED [ 50%] 2022-11-23T02:06:41.2536976Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_meshgrid_variadic_tensors_cpu_complex128 PASSED [ 50%] 2022-11-23T02:06:41.2537170Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_meshgrid_variadic_tensors_cpu_float64 PASSED [ 50%] 2022-11-23T02:06:41.2537360Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_min_reduction_no_dim_cpu_float64 PASSED [ 50%] 2022-11-23T02:06:41.2537549Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_min_reduction_with_dim_cpu_float64 PASSED [ 50%] 2022-11-23T02:06:41.2537724Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_minimum_cpu_float64 PASSED [ 50%] 2022-11-23T02:06:41.2537890Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_mm_cpu_float64 PASSED [ 50%] 2022-11-23T02:06:41.2538067Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_movedim_cpu_complex128 PASSED [ 50%] 2022-11-23T02:06:41.2538244Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_movedim_cpu_float64 PASSED [ 50%] 2022-11-23T02:06:41.2538403Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_msort_cpu_float64 PASSED [ 50%] 2022-11-23T02:06:41.2538570Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_mv_cpu_complex128 PASSED [ 50%] 2022-11-23T02:06:41.2538865Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_mv_cpu_float64 PASSED [ 51%] 2022-11-23T02:06:41.2539159Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_mvlgamma_mvlgamma_p_3_cpu_float64 PASSED [ 51%] 2022-11-23T02:06:41.2539338Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nan_to_num_cpu_float64 PASSED [ 51%] 2022-11-23T02:06:41.2539510Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nanmean_cpu_float64 PASSED [ 51%] 2022-11-23T02:06:41.2539687Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nanquantile_cpu_float64 PASSED [ 51%] 2022-11-23T02:06:41.2540047Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_narrow_copy_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%] 2022-11-23T02:06:41.2540235Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_native_batch_norm_cpu_float64 PASSED [ 51%] 2022-11-23T02:06:41.2540407Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_native_layer_norm_cpu_float64 XFAIL [ 51%] 2022-11-23T02:06:41.2540753Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_ne_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%] 2022-11-23T02:06:41.2541083Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_ne_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%] 2022-11-23T02:06:41.2541434Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_new_empty_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%] 2022-11-23T02:06:41.2541794Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_new_empty_strided_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%] 2022-11-23T02:06:41.2542152Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_new_empty_strided_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%] 2022-11-23T02:06:41.2542553Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nextafter_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 51%] 2022-11-23T02:06:41.2542763Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_adaptive_avg_pool1d_cpu_float64 PASSED [ 51%] 2022-11-23T02:06:41.2542967Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_adaptive_avg_pool2d_cpu_float64 PASSED [ 51%] 2022-11-23T02:06:41.2543170Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_adaptive_max_pool1d_cpu_float64 PASSED [ 51%] 2022-11-23T02:06:41.2543365Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_adaptive_max_pool3d_cpu_float64 PASSED [ 51%] 2022-11-23T02:06:41.2543591Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_alpha_dropout_cpu_float64 PASSED [ 51%] 2022-11-23T02:06:41.2543784Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_avg_pool2d_cpu_float64 PASSED [ 51%] 2022-11-23T02:06:41.2543977Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_avg_pool3d_cpu_float64 PASSED [ 51%] 2022-11-23T02:06:41.2544171Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_batch_norm_cpu_float64 PASSED [ 51%] 2022-11-23T02:06:41.2544360Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_bilinear_cpu_float64 PASSED [ 51%] 2022-11-23T02:06:41.2544564Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_binary_cross_entropy_cpu_float64 PASSED [ 51%] 2022-11-23T02:06:41.2544779Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_binary_cross_entropy_with_logits_cpu_float64 PASSED [ 52%] 2022-11-23T02:06:41.2544967Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_celu_cpu_float64 PASSED [ 52%] 2022-11-23T02:06:41.2545153Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_conv1d_cpu_float64 PASSED [ 52%] 2022-11-23T02:06:41.2545332Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_conv2d_cpu_complex128 PASSED [ 52%] 2022-11-23T02:06:41.2545533Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_conv_transpose1d_cpu_float64 PASSED [ 52%] 2022-11-23T02:06:41.2545720Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_dropout_cpu_float64 PASSED [ 52%] 2022-11-23T02:06:41.2545903Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_elu_cpu_float64 PASSED [ 52%] 2022-11-23T02:06:41.2546295Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_embedding_bag_cpu_float64 SKIPPED (Op claims it doesn't support gradgrad. This is not verified.) [ 52%] 2022-11-23T02:06:41.2546491Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_embedding_cpu_float64 PASSED [ 52%] 2022-11-23T02:06:41.2546708Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_feature_alpha_dropout_with_train_cpu_float64 PASSED [ 52%] 2022-11-23T02:06:41.2546933Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_feature_alpha_dropout_without_train_cpu_complex128 PASSED [ 52%] 2022-11-23T02:06:41.2547151Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_feature_alpha_dropout_without_train_cpu_float64 PASSED [ 52%] 2022-11-23T02:06:41.2547353Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_fractional_max_pool2d_cpu_float64 PASSED [ 52%] 2022-11-23T02:06:41.2547544Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_fractional_max_pool3d_cpu_float64 PASSED [ 52%] 2022-11-23T02:06:41.2547732Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_gelu_cpu_float64 PASSED [ 52%] 2022-11-23T02:06:41.2548116Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_hardsigmoid_cpu_float64 SKIPPED (Op claims it doesn't support gradgrad. This is not verified.) [ 52%] 2022-11-23T02:06:41.2548346Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_hardtanh_cpu_float64 PASSED [ 52%] 2022-11-23T02:06:41.2548553Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_hinge_embedding_loss_cpu_float64 PASSED [ 52%] 2022-11-23T02:06:41.2548744Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_huber_loss_cpu_float64 PASSED [ 52%] 2022-11-23T02:06:41.2548939Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_instance_norm_cpu_float64 PASSED [ 52%] 2022-11-23T02:06:41.2549206Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_interpolate_area_cpu_float64 PASSED [ 52%] 2022-11-23T02:06:41.2549451Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_interpolate_bilinear_cpu_float64 PASSED [ 52%] 2022-11-23T02:06:41.2549652Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_interpolate_linear_cpu_float64 PASSED [ 52%] 2022-11-23T02:06:41.2549845Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_interpolate_trilinear_cpu_float64 PASSED [ 52%] 2022-11-23T02:06:41.2550035Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_kl_div_cpu_float64 PASSED [ 52%] 2022-11-23T02:06:41.2550226Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_l1_loss_cpu_complex128 PASSED [ 53%] 2022-11-23T02:06:41.2550415Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_l1_loss_cpu_float64 PASSED [ 53%] 2022-11-23T02:06:41.2550605Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_leaky_relu_cpu_float64 PASSED [ 53%] 2022-11-23T02:06:41.2550793Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_linear_cpu_float64 PASSED [ 53%] 2022-11-23T02:06:41.2550992Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_max_unpool1d_grad_cpu_float64 PASSED [ 53%] 2022-11-23T02:06:41.2551200Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_max_unpool2d_cpu_float64 SKIPPED (Skipped!) [ 53%] 2022-11-23T02:06:41.2551392Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_max_unpool2d_grad_cpu_float64 PASSED [ 53%] 2022-11-23T02:06:41.2551591Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_max_unpool3d_cpu_float64 SKIPPED (Skipped!) [ 53%] 2022-11-23T02:06:41.2551763Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_mish_cpu_float64 PASSED [ 53%] 2022-11-23T02:06:41.2551946Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_mse_loss_cpu_float64 PASSED [ 53%] 2022-11-23T02:06:41.2552347Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_multilabel_margin_loss_cpu_float64 SKIPPED (Op claims it doesn't support gradgrad. This is not verified.) [ 53%] 2022-11-23T02:06:41.2552530Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_nll_loss_cpu_float64 PASSED [ 53%] 2022-11-23T02:06:41.2552717Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_normalize_cpu_float64 PASSED [ 53%] 2022-11-23T02:06:41.2552912Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_pad_circular_cpu_complex128 PASSED [ 53%] 2022-11-23T02:06:41.2553101Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_pad_reflect_cpu_complex128 PASSED [ 53%] 2022-11-23T02:06:41.2553292Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_pad_replicate_cpu_complex128 PASSED [ 53%] 2022-11-23T02:06:41.2553480Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_pad_replicate_cpu_float64 PASSED [ 53%] 2022-11-23T02:06:41.2553674Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_pairwise_distance_cpu_complex128 PASSED [ 53%] 2022-11-23T02:06:41.2553869Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_pairwise_distance_cpu_float64 PASSED [ 53%] 2022-11-23T02:06:41.2554088Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_pixel_shuffle_cpu_complex128 PASSED [ 53%] 2022-11-23T02:06:41.2554280Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_pixel_shuffle_cpu_float64 PASSED [ 53%] 2022-11-23T02:06:41.2554467Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_poisson_nll_loss_cpu_float64 PASSED [ 53%] 2022-11-23T02:06:41.2554645Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_prelu_cpu_float64 XFAIL [ 53%] 2022-11-23T02:06:41.2554820Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_selu_cpu_float64 PASSED [ 53%] 2022-11-23T02:06:41.2555227Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_silu_complex_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 54%] 2022-11-23T02:06:41.2555405Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_silu_cpu_float64 PASSED [ 54%] 2022-11-23T02:06:41.2555594Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_smooth_l1_loss_cpu_float64 PASSED [ 54%] 2022-11-23T02:06:41.2555775Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_soft_margin_loss_cpu_float64 PASSED [ 54%] 2022-11-23T02:06:41.2555959Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_softplus_cpu_float64 PASSED [ 54%] 2022-11-23T02:06:41.2556143Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_threshold_cpu_float64 PASSED [ 54%] 2022-11-23T02:06:41.2556342Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_triplet_margin_loss_cpu_complex128 PASSED [ 54%] 2022-11-23T02:06:41.2556554Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_triplet_margin_with_distance_loss_cpu_float64 PASSED [ 54%] 2022-11-23T02:06:41.2556740Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_unfold_cpu_complex128 PASSED [ 54%] 2022-11-23T02:06:41.2556932Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nn_functional_upsample_nearest_cpu_float64 PASSED [ 54%] 2022-11-23T02:06:41.2557268Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_nonzero_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 54%] 2022-11-23T02:06:41.2557434Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_norm_cpu_complex128 PASSED [ 54%] 2022-11-23T02:06:41.2557606Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_norm_fro_cpu_complex128 PASSED [ 54%] 2022-11-23T02:06:41.2557766Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_norm_nuc_cpu_float64 PASSED [ 54%] 2022-11-23T02:06:41.2557976Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_normal_number_mean_cpu_float64 SKIPPED (Gradients are incorrect!) [ 54%] 2022-11-23T02:06:41.2558316Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_ones_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 54%] 2022-11-23T02:06:41.2558643Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_ones_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) 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[ 56%] 2022-11-23T02:06:41.2569506Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_scatter_add_cpu_complex128 PASSED [ 56%] 2022-11-23T02:06:41.2569685Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_scatter_reduce_amin_cpu_float64 PASSED [ 56%] 2022-11-23T02:06:41.2569861Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_scatter_reduce_prod_cpu_float64 PASSED [ 56%] 2022-11-23T02:06:41.2570207Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_searchsorted_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 56%] 2022-11-23T02:06:41.2570581Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_segment_reduce_lengths_cpu_float64 SKIPPED (Op claims it doesn't support gradgrad. This is not verified.) [ 56%] 2022-11-23T02:06:41.2570753Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_select_cpu_complex128 PASSED [ 56%] 2022-11-23T02:06:41.2570921Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_sgn_cpu_complex128 PASSED [ 56%] 2022-11-23T02:06:41.2571089Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_sigmoid_cpu_float64 PASSED [ 57%] 2022-11-23T02:06:41.2571443Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_signal_windows_cosine_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 57%] 2022-11-23T02:06:41.2571808Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_signal_windows_exponential_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 57%] 2022-11-23T02:06:41.2572166Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_signal_windows_gaussian_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) 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[ 57%] 2022-11-23T02:06:41.2574137Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_special_bessel_j0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 57%] 2022-11-23T02:06:41.2574493Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_special_bessel_y1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 57%] 2022-11-23T02:06:41.2574868Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_special_chebyshev_polynomial_t_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 57%] 2022-11-23T02:06:41.2575232Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_special_chebyshev_polynomial_u_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 57%] 2022-11-23T02:06:41.2575614Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_special_chebyshev_polynomial_v_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 57%] 2022-11-23T02:06:41.2575989Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_special_chebyshev_polynomial_w_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 57%] 2022-11-23T02:06:41.2576170Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_special_entr_cpu_float64 PASSED [ 57%] 2022-11-23T02:06:41.2576535Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_special_hermite_polynomial_h_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 57%] 2022-11-23T02:06:41.2576709Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_special_i0e_cpu_float64 PASSED [ 57%] 2022-11-23T02:06:41.2576877Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_special_i1e_cpu_float64 PASSED [ 57%] 2022-11-23T02:06:41.2577256Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_special_legendre_polynomial_p_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 57%] 2022-11-23T02:06:41.2577622Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_special_modified_bessel_i0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 57%] 2022-11-23T02:06:41.2577988Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_special_modified_bessel_k0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 58%] 2022-11-23T02:06:41.2578345Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_special_modified_bessel_k1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 58%] 2022-11-23T02:06:41.2578519Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_special_ndtri_cpu_float64 PASSED [ 58%] 2022-11-23T02:06:41.2579093Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_special_scaled_modified_bessel_k0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 58%] 2022-11-23T02:06:41.2579484Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_special_scaled_modified_bessel_k1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) 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[ 59%] 2022-11-23T02:06:41.2587256Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_var_cpu_float64 PASSED [ 59%] 2022-11-23T02:06:41.2587434Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_var_mean_cpu_complex128 PASSED [ 59%] 2022-11-23T02:06:41.2587599Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_vdot_cpu_float64 PASSED [ 59%] 2022-11-23T02:06:41.2587766Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_view_as_complex_cpu_float64 PASSED [ 59%] 2022-11-23T02:06:41.2587938Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_view_as_cpu_float64 PASSED [ 59%] 2022-11-23T02:06:41.2588119Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_view_as_real_cpu_complex128 PASSED [ 60%] 2022-11-23T02:06:41.2588297Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_view_copy_cpu_float64 PASSED [ 60%] 2022-11-23T02:06:41.2588471Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_view_cpu_complex128 PASSED [ 60%] 2022-11-23T02:06:41.2588643Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_vsplit_cpu_float64 PASSED [ 60%] 2022-11-23T02:06:41.2588816Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_zero__cpu_complex128 PASSED [ 60%] 2022-11-23T02:06:41.2588983Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_zero__cpu_float64 PASSED [ 60%] 2022-11-23T02:06:41.2589409Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_zeros_cpu_complex128 SKIPPED (Skipped! 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[ 60%] 2022-11-23T02:06:41.2592178Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad___rpow___cpu_float64 SKIPPED (Skipped!) [ 60%] 2022-11-23T02:06:41.2592383Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad___rsub___cpu_complex128 SKIPPED (Op has no inplace variant!) [ 60%] 2022-11-23T02:06:41.2592582Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad___rsub___cpu_float64 SKIPPED (Op has no inplace variant!) [ 60%] 2022-11-23T02:06:41.2592839Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad__softmax_backward_data_cpu_float64 SKIPPED (Op has no inplace variant!) [ 60%] 2022-11-23T02:06:41.2593180Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_abs_cpu_complex128 SKIPPED (In-place abs not supported for complex tensors) [ 60%] 2022-11-23T02:06:41.2593354Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_abs_cpu_float64 PASSED [ 60%] 2022-11-23T02:06:41.2593529Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_acosh_cpu_float64 PASSED [ 60%] 2022-11-23T02:06:41.2593703Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_addcdiv_cpu_float64 PASSED [ 61%] 2022-11-23T02:06:41.2593883Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_addcmul_cpu_complex128 PASSED [ 61%] 2022-11-23T02:06:41.2594039Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_addmm_cpu_float64 PASSED [ 61%] 2022-11-23T02:06:41.2594218Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_addmv_cpu_complex128 PASSED [ 61%] 2022-11-23T02:06:41.2594556Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_all_cpu_float64 SKIPPED (Skipped! 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[ 61%] 2022-11-23T02:06:41.2596351Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_argmax_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 61%] 2022-11-23T02:06:41.2596690Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_argmin_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 61%] 2022-11-23T02:06:41.2597027Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_argwhere_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 61%] 2022-11-23T02:06:41.2597372Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_argwhere_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 61%] 2022-11-23T02:06:41.2597571Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_as_strided_cpu_float64 SKIPPED (Numerous errors) [ 61%] 2022-11-23T02:06:41.2597790Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_as_strided_scatter_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 61%] 2022-11-23T02:06:41.2598009Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_as_strided_scatter_cpu_float64 SKIPPED (Op has no inplace variant!) [ 61%] 2022-11-23T02:06:41.2598180Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_asin_cpu_float64 PASSED [ 61%] 2022-11-23T02:06:41.2598379Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_asinh_cpu_float64 PASSED [ 61%] 2022-11-23T02:06:41.2598553Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_atan2_cpu_float64 PASSED [ 61%] 2022-11-23T02:06:41.2598726Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_atan_cpu_complex128 PASSED [ 61%] 2022-11-23T02:06:41.2598893Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_atan_cpu_float64 PASSED [ 61%] 2022-11-23T02:06:41.2599057Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_atanh_cpu_complex128 PASSED [ 61%] 2022-11-23T02:06:41.2599263Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_atleast_1d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 61%] 2022-11-23T02:06:41.2599510Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_atleast_2d_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 62%] 2022-11-23T02:06:41.2599720Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_atleast_3d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 62%] 2022-11-23T02:06:41.2599900Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_baddbmm_cpu_complex128 PASSED [ 62%] 2022-11-23T02:06:41.2600107Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_bernoulli_cpu_float64 SKIPPED (Op has no inplace variant!) [ 62%] 2022-11-23T02:06:41.2600316Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_block_diag_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 62%] 2022-11-23T02:06:41.2600660Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_bool_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 62%] 2022-11-23T02:06:41.2600876Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_broadcast_to_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 62%] 2022-11-23T02:06:41.2601221Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_bucketize_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 62%] 2022-11-23T02:06:41.2601425Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cartesian_prod_cpu_float64 SKIPPED (Op has no inplace variant!) [ 62%] 2022-11-23T02:06:41.2601813Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cat_cpu_complex128 SKIPPED (TODO(whc) fix pre-existing bug with cat for newly added opinfo for empty+nonempty) [ 62%] 2022-11-23T02:06:41.2602193Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cat_cpu_float64 SKIPPED (TODO(whc) fix pre-existing bug with cat for newly added opinfo for empty+nonempty) [ 62%] 2022-11-23T02:06:41.2602396Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cdist_cpu_float64 SKIPPED (Op has no inplace variant!) [ 62%] 2022-11-23T02:06:41.2602569Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_ceil_cpu_float64 PASSED [ 62%] 2022-11-23T02:06:41.2602775Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cfloat_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 62%] 2022-11-23T02:06:41.2602985Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_chalf_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 62%] 2022-11-23T02:06:41.2603185Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_chalf_cpu_float64 SKIPPED (Op has no inplace variant!) [ 62%] 2022-11-23T02:06:41.2603526Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_char_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 62%] 2022-11-23T02:06:41.2603735Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cholesky_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 62%] 2022-11-23T02:06:41.2603929Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cholesky_cpu_float64 SKIPPED (Op has no inplace variant!) [ 62%] 2022-11-23T02:06:41.2604145Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cholesky_inverse_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 62%] 2022-11-23T02:06:41.2604398Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cholesky_inverse_cpu_float64 SKIPPED (Op has no inplace variant!) [ 62%] 2022-11-23T02:06:41.2604611Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cholesky_solve_cpu_float64 SKIPPED (Op has no inplace variant!) [ 62%] 2022-11-23T02:06:41.2604811Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_chunk_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 62%] 2022-11-23T02:06:41.2604983Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_clamp_cpu_float64 PASSED [ 62%] 2022-11-23T02:06:41.2605158Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_clamp_max_cpu_float64 PASSED [ 62%] 2022-11-23T02:06:41.2605412Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_clone_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 63%] 2022-11-23T02:06:41.2605612Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_clone_cpu_float64 SKIPPED (Op has no inplace variant!) [ 63%] 2022-11-23T02:06:41.2605824Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_column_stack_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 63%] 2022-11-23T02:06:41.2606020Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_column_stack_cpu_float64 SKIPPED (Op has no inplace variant!) [ 63%] 2022-11-23T02:06:41.2606223Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_combinations_cpu_float64 SKIPPED (Op has no inplace variant!) [ 63%] 2022-11-23T02:06:41.2606420Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_conj_cpu_float64 SKIPPED (Op has no inplace variant!) [ 63%] 2022-11-23T02:06:41.2606607Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_conj_physical_cpu_complex128 PASSED [ 63%] 2022-11-23T02:06:41.2606821Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_constant_pad_nd_cpu_float64 SKIPPED (Op has no inplace variant!) [ 63%] 2022-11-23T02:06:41.2606997Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_copysign_cpu_float64 PASSED [ 63%] 2022-11-23T02:06:41.2607205Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_corrcoef_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 63%] 2022-11-23T02:06:41.2607379Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cos_cpu_complex128 PASSED [ 63%] 2022-11-23T02:06:41.2607551Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cos_cpu_float64 PASSED [ 63%] 2022-11-23T02:06:41.2607720Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cosh_cpu_float64 PASSED [ 63%] 2022-11-23T02:06:41.2607912Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cross_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 63%] 2022-11-23T02:06:41.2608114Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cross_cpu_float64 SKIPPED (Op has no inplace variant!) [ 63%] 2022-11-23T02:06:41.2608341Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_cumulative_trapezoid_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 63%] 2022-11-23T02:06:41.2608517Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_deg2rad_cpu_float64 PASSED [ 63%] 2022-11-23T02:06:41.2608720Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_diag_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 63%] 2022-11-23T02:06:41.2608919Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_diag_cpu_float64 SKIPPED (Op has no inplace variant!) [ 63%] 2022-11-23T02:06:41.2609128Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_diag_embed_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 63%] 2022-11-23T02:06:41.2609336Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_diag_embed_cpu_float64 SKIPPED (Op has no inplace variant!) [ 63%] 2022-11-23T02:06:41.2609544Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_diagflat_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 63%] 2022-11-23T02:06:41.2609739Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_diagflat_cpu_float64 SKIPPED (Op has no inplace variant!) [ 63%] 2022-11-23T02:06:41.2609983Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_diagonal_copy_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 63%] 2022-11-23T02:06:41.2610194Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_diagonal_scatter_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%] 2022-11-23T02:06:41.2610393Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_diff_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%] 2022-11-23T02:06:41.2610566Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_digamma_cpu_float64 PASSED [ 64%] 2022-11-23T02:06:41.2610768Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_dist_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 64%] 2022-11-23T02:06:41.2611002Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_dot_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%] 2022-11-23T02:06:41.2611206Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_double_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 64%] 2022-11-23T02:06:41.2611412Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_dsplit_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 64%] 2022-11-23T02:06:41.2611612Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_dsplit_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%] 2022-11-23T02:06:41.2611802Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_dstack_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%] 2022-11-23T02:06:41.2612148Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_empty_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 64%] 2022-11-23T02:06:41.2612502Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_empty_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 64%] 2022-11-23T02:06:41.2612849Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_empty_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 64%] 2022-11-23T02:06:41.2613020Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_erf_cpu_float64 PASSED [ 64%] 2022-11-23T02:06:41.2613192Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_erfinv_cpu_float64 PASSED [ 64%] 2022-11-23T02:06:41.2613362Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_exp2_cpu_float64 PASSED [ 64%] 2022-11-23T02:06:41.2613537Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_exp_cpu_complex128 PASSED [ 64%] 2022-11-23T02:06:41.2613705Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_exp_cpu_float64 PASSED [ 64%] 2022-11-23T02:06:41.2613912Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_expand_as_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%] 2022-11-23T02:06:41.2614243Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_eye_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 64%] 2022-11-23T02:06:41.2614578Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_eye_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 64%] 2022-11-23T02:06:41.2614779Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_fft2_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%] 2022-11-23T02:06:41.2614988Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_hfft2_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 64%] 2022-11-23T02:06:41.2615192Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_hfft_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 64%] 2022-11-23T02:06:41.2615398Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_hfft_cpu_float64 SKIPPED (Op has no inplace variant!) [ 64%] 2022-11-23T02:06:41.2615606Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_hfftn_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 64%] 2022-11-23T02:06:41.2615846Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_ifft2_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 65%] 2022-11-23T02:06:41.2616055Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_ifft_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 65%] 2022-11-23T02:06:41.2616260Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_ifftn_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 65%] 2022-11-23T02:06:41.2616462Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_ifftshift_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 65%] 2022-11-23T02:06:41.2616664Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_ihfft_cpu_float64 SKIPPED (Op has no inplace variant!) [ 65%] 2022-11-23T02:06:41.2616901Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_irfft2_cpu_float64 SKIPPED (Op has no inplace variant!) [ 65%] 2022-11-23T02:06:41.2617104Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_irfft_cpu_float64 SKIPPED (Op has no inplace variant!) [ 65%] 2022-11-23T02:06:41.2617312Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fft_irfftn_cpu_float64 SKIPPED (Op has no inplace variant!) [ 65%] 2022-11-23T02:06:41.2617517Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_flatten_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 65%] 2022-11-23T02:06:41.2617719Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_flip_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 65%] 2022-11-23T02:06:41.2617918Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_flip_cpu_float64 SKIPPED (Op has no inplace variant!) [ 65%] 2022-11-23T02:06:41.2618127Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fliplr_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 65%] 2022-11-23T02:06:41.2618305Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_float_power_cpu_float64 PASSED [ 65%] 2022-11-23T02:06:41.2618643Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_floor_divide_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%] 2022-11-23T02:06:41.2619046Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_fmin_cpu_float64 SKIPPED (Op has no inplace variant!) [ 65%] 2022-11-23T02:06:41.2619247Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_frac_cpu_float64 PASSED [ 65%] 2022-11-23T02:06:41.2619598Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_full_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%] 2022-11-23T02:06:41.2619939Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_full_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%] 2022-11-23T02:06:41.2620279Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_ge_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%] 2022-11-23T02:06:41.2620488Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_gradient_cpu_float64 SKIPPED (Op has no inplace variant!) [ 65%] 2022-11-23T02:06:41.2620825Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_gt_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%] 2022-11-23T02:06:41.2621029Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_half_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 65%] 2022-11-23T02:06:41.2621229Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_half_cpu_float64 SKIPPED (Op has no inplace variant!) [ 65%] 2022-11-23T02:06:41.2621570Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_histogram_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 65%] 2022-11-23T02:06:41.2621766Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_hsplit_cpu_float64 SKIPPED (Op has no inplace variant!) [ 66%] 2022-11-23T02:06:41.2621938Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_hypot_cpu_float64 PASSED [ 66%] 2022-11-23T02:06:41.2622172Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_index_add_cpu_complex128 PASSED [ 66%] 2022-11-23T02:06:41.2622353Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_index_copy_cpu_float64 PASSED [ 66%] 2022-11-23T02:06:41.2622537Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_index_fill_cpu_complex128 PASSED [ 66%] 2022-11-23T02:06:41.2622710Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_index_fill_cpu_float64 PASSED [ 66%] 2022-11-23T02:06:41.2622886Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_index_put_cpu_float64 PASSED [ 66%] 2022-11-23T02:06:41.2623099Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_index_select_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 66%] 2022-11-23T02:06:41.2623491Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_isclose_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%] 2022-11-23T02:06:41.2623822Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_isclose_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%] 2022-11-23T02:06:41.2624167Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_isfinite_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%] 2022-11-23T02:06:41.2624501Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_isin_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%] 2022-11-23T02:06:41.2624839Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_isnan_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%] 2022-11-23T02:06:41.2625185Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_isreal_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%] 2022-11-23T02:06:41.2625521Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_isreal_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 66%] 2022-11-23T02:06:41.2625731Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_istft_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 66%] 2022-11-23T02:06:41.2625945Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_jiterator_2inputs_2outputs_cpu_float64 SKIPPED (Only runs on cuda) [ 66%] 2022-11-23T02:06:41.2626168Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_jiterator_4inputs_with_extra_args_cpu_float64 SKIPPED (Only runs on cuda) [ 66%] 2022-11-23T02:06:41.2626378Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_jiterator_unary_cpu_complex128 SKIPPED (Only runs on cuda) [ 66%] 2022-11-23T02:06:41.2626584Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_jiterator_unary_cpu_float64 SKIPPED (Only runs on cuda) [ 66%] 2022-11-23T02:06:41.2626771Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_kron_cpu_float64 SKIPPED (Op has no inplace variant!) [ 66%] 2022-11-23T02:06:41.2626976Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_kthvalue_cpu_float64 SKIPPED (Op has no inplace variant!) [ 66%] 2022-11-23T02:06:41.2627148Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_ldexp_cpu_float64 PASSED [ 66%] 2022-11-23T02:06:41.2627321Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_lerp_cpu_complex128 PASSED [ 66%] 2022-11-23T02:06:41.2627493Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_lerp_cpu_float64 PASSED [ 66%] 2022-11-23T02:06:41.2627667Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_lgamma_cpu_float64 PASSED [ 67%] 2022-11-23T02:06:41.2627879Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_cond_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 67%] 2022-11-23T02:06:41.2628097Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_cross_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 67%] 2022-11-23T02:06:41.2628344Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_det_singular_cpu_float64 SKIPPED (Op has no inplace variant!) [ 67%] 2022-11-23T02:06:41.2628545Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_eig_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 67%] 2022-11-23T02:06:41.2628753Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_eigh_cpu_float64 SKIPPED (Op has no inplace variant!) [ 67%] 2022-11-23T02:06:41.2628966Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_eigvals_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 67%] 2022-11-23T02:06:41.2629279Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_householder_product_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 67%] 2022-11-23T02:06:41.2629550Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_householder_product_cpu_float64 SKIPPED (Op has no inplace variant!) [ 67%] 2022-11-23T02:06:41.2629760Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_inv_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 67%] 2022-11-23T02:06:41.2629970Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_inv_cpu_float64 SKIPPED (Op has no inplace variant!) [ 67%] 2022-11-23T02:06:41.2630341Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_ldl_factor_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%] 2022-11-23T02:06:41.2630695Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_ldl_factor_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%] 2022-11-23T02:06:41.2631065Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_ldl_factor_ex_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%] 2022-11-23T02:06:41.2631266Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_lstsq_cpu_complex128 SKIPPED (Skipped!) [ 67%] 2022-11-23T02:06:41.2631486Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_lstsq_grad_oriented_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 67%] 2022-11-23T02:06:41.2631696Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_lu_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 67%] 2022-11-23T02:06:41.2631899Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_lu_cpu_float64 SKIPPED (Op has no inplace variant!) [ 67%] 2022-11-23T02:06:41.2632114Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_lu_factor_cpu_float64 SKIPPED (Op has no inplace variant!) [ 67%] 2022-11-23T02:06:41.2632331Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_matrix_norm_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 67%] 2022-11-23T02:06:41.2632554Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_matrix_power_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 67%] 2022-11-23T02:06:41.2632772Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_matrix_power_cpu_float64 SKIPPED (Op has no inplace variant!) [ 67%] 2022-11-23T02:06:41.2633138Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_matrix_rank_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%] 2022-11-23T02:06:41.2633518Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_matrix_rank_hermitian_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%] 2022-11-23T02:06:41.2633888Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_matrix_rank_hermitian_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 67%] 2022-11-23T02:06:41.2634099Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_norm_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 68%] 2022-11-23T02:06:41.2634320Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_norm_subgradients_at_zero_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 68%] 2022-11-23T02:06:41.2634559Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_pinv_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 68%] 2022-11-23T02:06:41.2634767Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_pinv_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%] 2022-11-23T02:06:41.2635018Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_pinv_singular_cpu_float64 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 68%] 2022-11-23T02:06:41.2635227Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_qr_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 68%] 2022-11-23T02:06:41.2635434Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_slogdet_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%] 2022-11-23T02:06:41.2635676Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_solve_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 68%] 2022-11-23T02:06:41.2635886Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_solve_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%] 2022-11-23T02:06:41.2636088Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_solve_ex_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%] 2022-11-23T02:06:41.2636314Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_solve_triangular_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 68%] 2022-11-23T02:06:41.2636530Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_svdvals_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 68%] 2022-11-23T02:06:41.2636733Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_tensorinv_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 68%] 2022-11-23T02:06:41.2636945Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_tensorinv_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%] 2022-11-23T02:06:41.2637165Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_tensorsolve_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 68%] 2022-11-23T02:06:41.2637382Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_tensorsolve_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%] 2022-11-23T02:06:41.2637599Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_vector_norm_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 68%] 2022-11-23T02:06:41.2637813Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_vector_norm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%] 2022-11-23T02:06:41.2638168Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linspace_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 68%] 2022-11-23T02:06:41.2638346Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_log1p_cpu_float64 PASSED [ 68%] 2022-11-23T02:06:41.2638520Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_log2_cpu_complex128 PASSED [ 68%] 2022-11-23T02:06:41.2638694Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_log2_cpu_float64 PASSED [ 68%] 2022-11-23T02:06:41.2638886Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_log_softmax_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%] 2022-11-23T02:06:41.2639095Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_logaddexp_cpu_float64 SKIPPED (Op has no inplace variant!) [ 68%] 2022-11-23T02:06:41.2639307Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_logcumsumexp_cpu_float64 SKIPPED (Op has no inplace variant!) [ 69%] 2022-11-23T02:06:41.2639655Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_logical_and_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 69%] 2022-11-23T02:06:41.2640001Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_logical_not_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 69%] 2022-11-23T02:06:41.2640380Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_logical_or_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 69%] 2022-11-23T02:06:41.2640556Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_logit_cpu_float64 PASSED [ 69%] 2022-11-23T02:06:41.2640906Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_logspace_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 69%] 2022-11-23T02:06:41.2641112Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_logsumexp_cpu_float64 SKIPPED (Op has no inplace variant!) [ 69%] 2022-11-23T02:06:41.2641450Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_long_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 69%] 2022-11-23T02:06:41.2641797Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_lt_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 69%] 2022-11-23T02:06:41.2641999Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_lu_cpu_float64 SKIPPED (Op has no inplace variant!) [ 69%] 2022-11-23T02:06:41.2642209Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_lu_solve_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 69%] 2022-11-23T02:06:41.2642418Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_lu_unpack_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 69%] 2022-11-23T02:06:41.2642616Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_mH_cpu_float64 SKIPPED (Op has no inplace variant!) [ 69%] 2022-11-23T02:06:41.2642812Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_mT_cpu_float64 SKIPPED (Op has no inplace variant!) [ 69%] 2022-11-23T02:06:41.2643023Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_amin_cpu_float64 SKIPPED (Op has no inplace variant!) [ 69%] 2022-11-23T02:06:41.2643373Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_argmax_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 69%] 2022-11-23T02:06:41.2643589Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_cumprod_cpu_float64 SKIPPED (Op has no inplace variant!) [ 69%] 2022-11-23T02:06:41.2643798Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_cumsum_cpu_float64 SKIPPED (Op has no inplace variant!) [ 69%] 2022-11-23T02:06:41.2643971Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_fill_cpu_complex128 PASSED [ 69%] 2022-11-23T02:06:41.2644179Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_mean_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 69%] 2022-11-23T02:06:41.2644386Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_median_cpu_float64 SKIPPED (Op has no inplace variant!) [ 69%] 2022-11-23T02:06:41.2644604Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_normalize_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 69%] 2022-11-23T02:06:41.2644821Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_normalize_cpu_float64 SKIPPED (Op has no inplace variant!) [ 69%] 2022-11-23T02:06:41.2645033Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_prod_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 69%] 2022-11-23T02:06:41.2645219Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_scatter_cpu_complex128 PASSED [ 69%] 2022-11-23T02:06:41.2645430Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_select_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:06:41.2645636Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_std_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:06:41.2645845Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_std_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:06:41.2646041Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_sum_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:06:41.2646279Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_var_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:06:41.2646488Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_masked_var_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:06:41.2646695Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_matmul_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:06:41.2646897Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_matmul_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:06:41.2647106Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_matrix_exp_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:06:41.2647356Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_max_binary_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:06:41.2647561Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_mean_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:06:41.2647761Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_mean_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:06:41.2647962Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_median_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:06:41.2648174Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_meshgrid_list_of_tensors_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:06:41.2648402Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_meshgrid_variadic_tensors_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:06:41.2648627Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_meshgrid_variadic_tensors_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:06:41.2648834Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_min_binary_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:06:41.2649053Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_min_reduction_with_dim_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:06:41.2649256Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_mode_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:06:41.2649464Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_movedim_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:06:41.2649665Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_movedim_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:06:41.2649843Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_mul_cpu_complex128 PASSED [ 70%] 2022-11-23T02:06:41.2650194Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_multinomial_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 70%] 2022-11-23T02:06:41.2650397Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_mv_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:06:41.2650563Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nan_to_num_cpu_float64 PASSED [ 71%] 2022-11-23T02:06:41.2650770Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nanquantile_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%] 2022-11-23T02:06:41.2650970Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nansum_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%] 2022-11-23T02:06:41.2651317Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_narrow_copy_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 71%] 2022-11-23T02:06:41.2651539Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_native_dropout_backward_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%] 2022-11-23T02:06:41.2651901Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_ne_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 71%] 2022-11-23T02:06:41.2652086Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_neg_cpu_complex128 PASSED [ 71%] 2022-11-23T02:06:41.2652256Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_neg_cpu_float64 PASSED [ 71%] 2022-11-23T02:06:41.2652606Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_new_empty_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 71%] 2022-11-23T02:06:41.2652945Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_new_empty_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 71%] 2022-11-23T02:06:41.2653325Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_new_empty_strided_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 71%] 2022-11-23T02:06:41.2653680Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_new_empty_strided_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 71%] 2022-11-23T02:06:41.2654031Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_new_ones_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 71%] 2022-11-23T02:06:41.2654375Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_new_ones_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 71%] 2022-11-23T02:06:41.2654726Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_new_zeros_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 71%] 2022-11-23T02:06:41.2655074Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_new_zeros_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 71%] 2022-11-23T02:06:41.2655317Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional__scaled_dot_product_attention_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%] 2022-11-23T02:06:41.2655518Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_alpha_dropout_cpu_float64 PASSED [ 71%] 2022-11-23T02:06:41.2655740Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_avg_pool2d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%] 2022-11-23T02:06:41.2655965Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_avg_pool3d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%] 2022-11-23T02:06:41.2656182Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_conv1d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%] 2022-11-23T02:06:41.2656390Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_conv2d_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 71%] 2022-11-23T02:06:41.2656606Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_conv2d_cpu_float64 SKIPPED (Op has no inplace variant!) [ 71%] 2022-11-23T02:06:41.2656842Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_conv_transpose1d_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 71%] 2022-11-23T02:06:41.2657070Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_conv_transpose2d_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 71%] 2022-11-23T02:06:41.2657303Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_conv_transpose3d_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 72%] 2022-11-23T02:06:41.2657522Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_ctc_loss_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%] 2022-11-23T02:06:41.2657717Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_dropout2d_cpu_float64 PASSED [ 72%] 2022-11-23T02:06:41.2657914Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_dropout3d_cpu_float64 PASSED [ 72%] 2022-11-23T02:06:41.2658169Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_embedding_bag_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%] 2022-11-23T02:06:41.2658395Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_embedding_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%] 2022-11-23T02:06:41.2658616Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_feature_alpha_dropout_with_train_cpu_float64 PASSED [ 72%] 2022-11-23T02:06:41.2658998Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_feature_alpha_dropout_without_train_cpu_float64 PASSED [ 72%] 2022-11-23T02:06:41.2659245Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_gelu_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%] 2022-11-23T02:06:41.2659527Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_grid_sample_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%] 2022-11-23T02:06:41.2659752Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_group_norm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%] 2022-11-23T02:06:41.2659949Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_hardsigmoid_cpu_float64 PASSED [ 72%] 2022-11-23T02:06:41.2660172Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_hardtanh_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%] 2022-11-23T02:06:41.2660396Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_instance_norm_cpu_float64 SKIPPED (Op has no inplace variant!) [ 72%] 2022-11-23T02:06:41.2660626Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_nn_functional_interpolate_area_cpu_float64 SKIPPED (Op has no inplace variant!) 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[ 75%] 2022-11-23T02:06:41.2675106Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_reciprocal_cpu_float64 PASSED [ 75%] 2022-11-23T02:06:41.2675323Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_remainder_cpu_float64 PASSED [ 75%] 2022-11-23T02:06:41.2675485Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_renorm_cpu_float64 PASSED [ 75%] 2022-11-23T02:06:41.2675705Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_repeat_interleave_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 75%] 2022-11-23T02:06:41.2675924Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_repeat_interleave_cpu_float64 SKIPPED (Op has no inplace variant!) [ 75%] 2022-11-23T02:06:41.2676134Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_reshape_as_cpu_complex128 SKIPPED (Op has no inplace variant!) 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[ 76%] 2022-11-23T02:06:41.2680813Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_sgn_cpu_complex128 PASSED [ 76%] 2022-11-23T02:06:41.2681014Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_sgn_cpu_float64 PASSED [ 76%] 2022-11-23T02:06:41.2681185Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_sign_cpu_float64 PASSED [ 76%] 2022-11-23T02:06:41.2681558Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_signal_windows_exponential_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%] 2022-11-23T02:06:41.2681913Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_signal_windows_gaussian_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%] 2022-11-23T02:06:41.2682282Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_signal_windows_kaiser_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%] 2022-11-23T02:06:41.2682490Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_sin_cpu_complex128 PASSED [ 76%] 2022-11-23T02:06:41.2682666Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_sinc_cpu_complex128 PASSED [ 76%] 2022-11-23T02:06:41.2682847Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_sinh_cpu_complex128 PASSED [ 76%] 2022-11-23T02:06:41.2683055Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_slice_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 76%] 2022-11-23T02:06:41.2683257Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_slice_cpu_float64 SKIPPED (Op has no inplace variant!) [ 76%] 2022-11-23T02:06:41.2683470Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_slice_scatter_cpu_float64 SKIPPED (Op has no inplace variant!) [ 76%] 2022-11-23T02:06:41.2683671Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_softmax_cpu_float64 SKIPPED (Op has no inplace variant!) [ 76%] 2022-11-23T02:06:41.2683891Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_softmax_with_dtype_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 76%] 2022-11-23T02:06:41.2684098Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_softmax_with_dtype_cpu_float64 SKIPPED (Op has no inplace variant!) [ 76%] 2022-11-23T02:06:41.2684321Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_sparse_sampled_addmm_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 76%] 2022-11-23T02:06:41.2684677Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_airy_ai_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 76%] 2022-11-23T02:06:41.2685036Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_bessel_j1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%] 2022-11-23T02:06:41.2685394Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_bessel_y1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%] 2022-11-23T02:06:41.2685778Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_chebyshev_polynomial_t_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%] 2022-11-23T02:06:41.2686172Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_chebyshev_polynomial_w_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 77%] 2022-11-23T02:06:41.2686383Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_erfcx_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-11-23T02:06:41.2686592Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_i1_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-11-23T02:06:41.2686800Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_i1e_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-11-23T02:06:41.2687179Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_laguerre_polynomial_l_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%] 2022-11-23T02:06:41.2687581Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_legendre_polynomial_p_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 77%] 2022-11-23T02:06:41.2687958Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_modified_bessel_i1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%] 2022-11-23T02:06:41.2688333Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_modified_bessel_k0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%] 2022-11-23T02:06:41.2688544Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_ndtri_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-11-23T02:06:41.2688785Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_polygamma_special_polygamma_n_0_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-11-23T02:06:41.2689212Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_scaled_modified_bessel_k1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%] 2022-11-23T02:06:41.2689616Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_shifted_chebyshev_polynomial_u_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 77%] 2022-11-23T02:06:41.2689987Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_spherical_bessel_j0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%] 2022-11-23T02:06:41.2690335Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_special_zeta_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 77%] 2022-11-23T02:06:41.2690542Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_split_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 77%] 2022-11-23T02:06:41.2690759Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_split_list_args_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 77%] 2022-11-23T02:06:41.2690974Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_split_list_args_cpu_float64 SKIPPED (Op has no inplace variant!) [ 77%] 2022-11-23T02:06:41.2691136Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_sqrt_cpu_complex128 PASSED [ 77%] 2022-11-23T02:06:41.2691314Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_square_cpu_complex128 PASSED [ 77%] 2022-11-23T02:06:41.2691490Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_squeeze_cpu_complex128 PASSED [ 77%] 2022-11-23T02:06:41.2691662Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_squeeze_cpu_float64 PASSED [ 77%] 2022-11-23T02:06:41.2691865Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_stack_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 77%] 2022-11-23T02:06:41.2692070Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_stack_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%] 2022-11-23T02:06:41.2692272Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_std_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%] 2022-11-23T02:06:41.2692482Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_std_mean_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%] 2022-11-23T02:06:41.2692683Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_std_mean_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%] 2022-11-23T02:06:41.2692881Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_stft_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%] 2022-11-23T02:06:41.2693078Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_sum_to_size_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%] 2022-11-23T02:06:41.2693284Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_svd_lowrank_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%] 2022-11-23T02:06:41.2693489Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_symeig_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%] 2022-11-23T02:06:41.2693686Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_t_cpu_float64 PASSED [ 78%] 2022-11-23T02:06:41.2693890Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_take_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%] 2022-11-23T02:06:41.2694059Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_tan_cpu_float64 PASSED [ 78%] 2022-11-23T02:06:41.2694228Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_tanh_cpu_float64 PASSED [ 78%] 2022-11-23T02:06:41.2694435Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_tensor_split_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%] 2022-11-23T02:06:41.2694646Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_tensordot_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%] 2022-11-23T02:06:41.2694873Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_tensordot_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%] 2022-11-23T02:06:41.2695079Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_tile_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%] 2022-11-23T02:06:41.2695276Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_tile_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%] 2022-11-23T02:06:41.2695478Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_to_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 78%] 2022-11-23T02:06:41.2695836Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_to_sparse_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 78%] 2022-11-23T02:06:41.2696044Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_to_sparse_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%] 2022-11-23T02:06:41.2696246Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_topk_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%] 2022-11-23T02:06:41.2696430Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_transpose_cpu_complex128 PASSED [ 78%] 2022-11-23T02:06:41.2696611Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_transpose_cpu_float64 PASSED [ 78%] 2022-11-23T02:06:41.2696818Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_trapezoid_cpu_float64 SKIPPED (Op has no inplace variant!) [ 78%] 2022-11-23T02:06:41.2697022Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_triangular_solve_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%] 2022-11-23T02:06:41.2697197Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_tril_cpu_complex128 PASSED [ 79%] 2022-11-23T02:06:41.2697367Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_tril_cpu_float64 PASSED [ 79%] 2022-11-23T02:06:41.2697541Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_triu_cpu_complex128 PASSED [ 79%] 2022-11-23T02:06:41.2697709Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_triu_cpu_float64 PASSED [ 79%] 2022-11-23T02:06:41.2697894Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_true_divide_cpu_complex128 PASSED [ 79%] 2022-11-23T02:06:41.2698103Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_unbind_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%] 2022-11-23T02:06:41.2698312Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_unflatten_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%] 2022-11-23T02:06:41.2698519Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_unfold_copy_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%] 2022-11-23T02:06:41.2698712Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_unfold_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%] 2022-11-23T02:06:41.2699360Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_uniform_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 79%] 2022-11-23T02:06:41.2699703Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_uniform_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 79%] 2022-11-23T02:06:41.2699949Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_unsqueeze_cpu_complex128 PASSED [ 79%] 2022-11-23T02:06:41.2700130Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_unsqueeze_cpu_float64 PASSED [ 79%] 2022-11-23T02:06:41.2700334Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_var_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%] 2022-11-23T02:06:41.2700543Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_var_mean_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%] 2022-11-23T02:06:41.2700752Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_view_as_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%] 2022-11-23T02:06:41.2701032Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_view_as_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%] 2022-11-23T02:06:41.2701246Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_view_as_real_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%] 2022-11-23T02:06:41.2701441Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_view_copy_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%] 2022-11-23T02:06:41.2701643Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_view_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 79%] 2022-11-23T02:06:41.2701845Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_vsplit_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%] 2022-11-23T02:06:41.2702048Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_vstack_cpu_float64 SKIPPED (Op has no inplace variant!) [ 79%] 2022-11-23T02:06:41.2702226Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_zero__cpu_complex128 PASSED [ 79%] 2022-11-23T02:06:41.2702575Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_zeros_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 79%] 2022-11-23T02:06:41.2702823Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad___rdiv___cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%] 2022-11-23T02:06:41.2703065Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad___rdiv___cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%] 2022-11-23T02:06:41.2703301Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad___rmod___cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%] 2022-11-23T02:06:41.2703541Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad___rmul___cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%] 2022-11-23T02:06:41.2703779Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad___rmul___cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%] 2022-11-23T02:06:41.2703960Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad___rpow___cpu_float64 SKIPPED (Skipped!) [ 80%] 2022-11-23T02:06:41.2704202Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad___rsub___cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%] 2022-11-23T02:06:41.2704545Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_abs_cpu_complex128 SKIPPED (In-place abs not supported for complex tensors) [ 80%] 2022-11-23T02:06:41.2704722Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_abs_cpu_float64 PASSED [ 80%] 2022-11-23T02:06:41.2704901Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_acos_cpu_complex128 PASSED [ 80%] 2022-11-23T02:06:41.2705141Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_acosh_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%] 2022-11-23T02:06:41.2705382Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_acosh_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%] 2022-11-23T02:06:41.2705592Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_add_cpu_complex128 PASSED [ 80%] 2022-11-23T02:06:41.2705780Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_addbmm_cpu_complex128 PASSED [ 80%] 2022-11-23T02:06:41.2705960Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_addcdiv_cpu_float64 PASSED [ 80%] 2022-11-23T02:06:41.2706131Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_addcmul_cpu_complex128 PASSED [ 80%] 2022-11-23T02:06:41.2706311Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_addcmul_cpu_float64 PASSED [ 80%] 2022-11-23T02:06:41.2706494Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_addmm_cpu_complex128 PASSED [ 80%] 2022-11-23T02:06:41.2706734Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_addmm_decomposed_cpu_float64 PASSED [ 80%] 2022-11-23T02:06:41.2706913Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_addmv_cpu_float64 PASSED [ 80%] 2022-11-23T02:06:41.2707268Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_allclose_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 80%] 2022-11-23T02:06:41.2707508Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_amax_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%] 2022-11-23T02:06:41.2707746Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_amin_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 80%] 2022-11-23T02:06:41.2708099Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_aminmax_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 80%] 2022-11-23T02:06:41.2708341Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_angle_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%] 2022-11-23T02:06:41.2708569Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_angle_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%] 2022-11-23T02:06:41.2708909Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_any_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 81%] 2022-11-23T02:06:41.2709326Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_argmin_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 81%] 2022-11-23T02:06:41.2709688Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_argwhere_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 81%] 2022-11-23T02:06:41.2709868Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_asin_cpu_float64 PASSED [ 81%] 2022-11-23T02:06:41.2710049Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_atan2_cpu_float64 PASSED [ 81%] 2022-11-23T02:06:41.2710231Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_atan_cpu_complex128 PASSED [ 81%] 2022-11-23T02:06:41.2710410Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_atan_cpu_float64 PASSED [ 81%] 2022-11-23T02:06:41.2710656Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_atanh_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%] 2022-11-23T02:06:41.2710904Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_atleast_2d_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%] 2022-11-23T02:06:41.2711137Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_atleast_3d_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%] 2022-11-23T02:06:41.2711380Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_atleast_3d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%] 2022-11-23T02:06:41.2711568Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_baddbmm_cpu_complex128 PASSED [ 81%] 2022-11-23T02:06:41.2711841Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_bernoulli_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%] 2022-11-23T02:06:41.2712085Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_block_diag_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%] 2022-11-23T02:06:41.2712433Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_bool_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 81%] 2022-11-23T02:06:41.2712686Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_broadcast_tensors_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%] 2022-11-23T02:06:41.2712964Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_broadcast_to_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%] 2022-11-23T02:06:41.2713320Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_bucketize_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 81%] 2022-11-23T02:06:41.2713574Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cartesian_prod_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%] 2022-11-23T02:06:41.2713972Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cat_cpu_complex128 SKIPPED (TODO(whc) fix pre-existing bug with cat for newly added opinfo for empty+nonempty) [ 81%] 2022-11-23T02:06:41.2714217Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cdouble_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%] 2022-11-23T02:06:41.2714449Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cfloat_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%] 2022-11-23T02:06:41.2714690Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cfloat_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 81%] 2022-11-23T02:06:41.2714930Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_chalf_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%] 2022-11-23T02:06:41.2715169Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cholesky_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%] 2022-11-23T02:06:41.2715423Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cholesky_inverse_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%] 2022-11-23T02:06:41.2715672Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cholesky_solve_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%] 2022-11-23T02:06:41.2715921Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cholesky_solve_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%] 2022-11-23T02:06:41.2716159Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_chunk_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%] 2022-11-23T02:06:41.2716343Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_clamp_min_cpu_float64 PASSED [ 82%] 2022-11-23T02:06:41.2716581Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_clone_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%] 2022-11-23T02:06:41.2716827Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_column_stack_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%] 2022-11-23T02:06:41.2717064Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_conj_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%] 2022-11-23T02:06:41.2717305Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_constant_pad_nd_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%] 2022-11-23T02:06:41.2717578Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_contiguous_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%] 2022-11-23T02:06:41.2717765Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_copysign_cpu_float64 PASSED [ 82%] 2022-11-23T02:06:41.2718007Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_corrcoef_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%] 2022-11-23T02:06:41.2718250Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_corrcoef_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%] 2022-11-23T02:06:41.2718651Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_count_nonzero_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 82%] 2022-11-23T02:06:41.2718893Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cov_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%] 2022-11-23T02:06:41.2719131Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cross_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%] 2022-11-23T02:06:41.2719316Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cumprod_cpu_complex128 PASSED [ 82%] 2022-11-23T02:06:41.2719498Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cumprod_cpu_float64 PASSED [ 82%] 2022-11-23T02:06:41.2719666Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cumsum_cpu_complex128 PASSED [ 82%] 2022-11-23T02:06:41.2719844Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cumsum_cpu_float64 PASSED [ 82%] 2022-11-23T02:06:41.2720106Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_cumulative_trapezoid_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%] 2022-11-23T02:06:41.2720346Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_diag_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 82%] 2022-11-23T02:06:41.2720592Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_diag_embed_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%] 2022-11-23T02:06:41.2720838Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_diagflat_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%] 2022-11-23T02:06:41.2721079Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_diagonal_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%] 2022-11-23T02:06:41.2721333Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_diagonal_scatter_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%] 2022-11-23T02:06:41.2721572Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_dist_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%] 2022-11-23T02:06:41.2721767Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_div_floor_rounding_cpu_float64 PASSED [ 83%] 2022-11-23T02:06:41.2722011Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_dstack_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%] 2022-11-23T02:06:41.2722239Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_dstack_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%] 2022-11-23T02:06:41.2722478Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_einsum_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%] 2022-11-23T02:06:41.2722721Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_einsum_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%] 2022-11-23T02:06:41.2723103Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_empty_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 83%] 2022-11-23T02:06:41.2723450Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_empty_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 83%] 2022-11-23T02:06:41.2723811Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_empty_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 83%] 2022-11-23T02:06:41.2724158Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_eq_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 83%] 2022-11-23T02:06:41.2724368Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_erf_cpu_float64 PASSED [ 83%] 2022-11-23T02:06:41.2724546Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_exp2_cpu_float64 PASSED [ 83%] 2022-11-23T02:06:41.2724728Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_exp_cpu_complex128 PASSED [ 83%] 2022-11-23T02:06:41.2724975Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_expand_as_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%] 2022-11-23T02:06:41.2725204Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_expand_as_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%] 2022-11-23T02:06:41.2725445Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_expand_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%] 2022-11-23T02:06:41.2725784Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_eye_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 83%] 2022-11-23T02:06:41.2726030Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_fft2_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%] 2022-11-23T02:06:41.2726268Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_fft2_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%] 2022-11-23T02:06:41.2726507Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_fft_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%] 2022-11-23T02:06:41.2726754Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_fftn_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 83%] 2022-11-23T02:06:41.2726991Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_fftn_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%] 2022-11-23T02:06:41.2727243Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_fftshift_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%] 2022-11-23T02:06:41.2727482Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_hfft2_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%] 2022-11-23T02:06:41.2727718Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_hfft_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%] 2022-11-23T02:06:41.2727952Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_hfftn_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%] 2022-11-23T02:06:41.2728181Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_ifft2_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%] 2022-11-23T02:06:41.2728422Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_ifft2_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%] 2022-11-23T02:06:41.2728663Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_ifft_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%] 2022-11-23T02:06:41.2728929Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_ifft_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%] 2022-11-23T02:06:41.2729174Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_ifftn_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%] 2022-11-23T02:06:41.2729420Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_ifftshift_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%] 2022-11-23T02:06:41.2729660Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_ifftshift_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%] 2022-11-23T02:06:41.2729942Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_irfft2_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%] 2022-11-23T02:06:41.2730186Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_irfft2_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%] 2022-11-23T02:06:41.2730430Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_irfftn_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%] 2022-11-23T02:06:41.2730669Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_rfft2_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%] 2022-11-23T02:06:41.2730905Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fft_rfftn_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%] 2022-11-23T02:06:41.2731076Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fill_cpu_complex128 PASSED [ 84%] 2022-11-23T02:06:41.2731256Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fill_cpu_float64 PASSED [ 84%] 2022-11-23T02:06:41.2731497Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_flip_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%] 2022-11-23T02:06:41.2731741Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fliplr_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%] 2022-11-23T02:06:41.2731978Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fliplr_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%] 2022-11-23T02:06:41.2732217Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_flipud_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%] 2022-11-23T02:06:41.2732449Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_float_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 84%] 2022-11-23T02:06:41.2732637Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_float_power_cpu_float64 PASSED [ 84%] 2022-11-23T02:06:41.2732999Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_floor_divide_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%] 2022-11-23T02:06:41.2733233Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fmax_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%] 2022-11-23T02:06:41.2733462Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fmin_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%] 2022-11-23T02:06:41.2733628Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_fmod_cpu_float64 PASSED [ 85%] 2022-11-23T02:06:41.2733804Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_frac_cpu_float64 PASSED [ 85%] 2022-11-23T02:06:41.2734046Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_frexp_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%] 2022-11-23T02:06:41.2734419Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_full_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%] 2022-11-23T02:06:41.2734767Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_full_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%] 2022-11-23T02:06:41.2735124Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_full_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%] 2022-11-23T02:06:41.2735367Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_gather_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%] 2022-11-23T02:06:41.2735610Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_gather_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%] 2022-11-23T02:06:41.2735989Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_geqrf_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%] 2022-11-23T02:06:41.2736336Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_geqrf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%] 2022-11-23T02:06:41.2736581Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_gradient_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%] 2022-11-23T02:06:41.2736810Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_gradient_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%] 2022-11-23T02:06:41.2737057Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_grid_sampler_2d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%] 2022-11-23T02:06:41.2737398Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_gt_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%] 2022-11-23T02:06:41.2737636Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_half_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%] 2022-11-23T02:06:41.2737992Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_histogramdd_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 85%] 2022-11-23T02:06:41.2738232Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_hsplit_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%] 2022-11-23T02:06:41.2738471Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_hsplit_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%] 2022-11-23T02:06:41.2738714Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_hstack_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%] 2022-11-23T02:06:41.2739147Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_hstack_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%] 2022-11-23T02:06:41.2739336Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_hypot_cpu_float64 PASSED [ 85%] 2022-11-23T02:06:41.2739510Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_i0_cpu_float64 PASSED [ 86%] 2022-11-23T02:06:41.2739848Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_igamma_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%] 2022-11-23T02:06:41.2740197Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_igammac_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%] 2022-11-23T02:06:41.2740438Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_imag_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%] 2022-11-23T02:06:41.2740629Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_index_add_cpu_complex128 PASSED [ 86%] 2022-11-23T02:06:41.2740819Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_index_copy_cpu_complex128 PASSED [ 86%] 2022-11-23T02:06:41.2741055Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_index_fill_cpu_float64 PASSED [ 86%] 2022-11-23T02:06:41.2741241Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_index_put_cpu_float64 PASSED [ 86%] 2022-11-23T02:06:41.2741590Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_isclose_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%] 2022-11-23T02:06:41.2741942Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_isfinite_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%] 2022-11-23T02:06:41.2742329Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_isin_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%] 2022-11-23T02:06:41.2742668Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_isneginf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%] 2022-11-23T02:06:41.2743023Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_isposinf_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%] 2022-11-23T02:06:41.2743370Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_isreal_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%] 2022-11-23T02:06:41.2743714Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_isreal_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 86%] 2022-11-23T02:06:41.2743951Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_istft_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%] 2022-11-23T02:06:41.2744174Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_jiterator_2inputs_2outputs_cpu_float64 SKIPPED (Only runs on cuda) [ 86%] 2022-11-23T02:06:41.2744392Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_jiterator_binary_cpu_complex128 SKIPPED (Only runs on cuda) [ 86%] 2022-11-23T02:06:41.2744613Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_jiterator_binary_return_by_ref_cpu_float64 SKIPPED (Only runs on cuda) [ 86%] 2022-11-23T02:06:41.2744820Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_jiterator_unary_cpu_float64 SKIPPED (Only runs on cuda) [ 86%] 2022-11-23T02:06:41.2745058Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_kron_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%] 2022-11-23T02:06:41.2745292Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_kron_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%] 2022-11-23T02:06:41.2745520Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_kthvalue_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%] 2022-11-23T02:06:41.2745761Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_ldexp_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 86%] 2022-11-23T02:06:41.2745941Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_lerp_cpu_complex128 PASSED [ 86%] 2022-11-23T02:06:41.2746117Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_lerp_cpu_float64 PASSED [ 87%] 2022-11-23T02:06:41.2746366Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_cross_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-11-23T02:06:41.2746610Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_det_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-11-23T02:06:41.2746865Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_det_singular_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-11-23T02:06:41.2747153Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_det_singular_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-11-23T02:06:41.2747402Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_eigh_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-11-23T02:06:41.2747642Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_eigh_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-11-23T02:06:41.2747890Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_eigvals_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-11-23T02:06:41.2748170Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_eigvalsh_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-11-23T02:06:41.2748420Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_householder_product_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-11-23T02:06:41.2748678Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_householder_product_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-11-23T02:06:41.2748921Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_inv_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-11-23T02:06:41.2749363Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_ldl_factor_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 87%] 2022-11-23T02:06:41.2749742Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_ldl_factor_ex_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 87%] 2022-11-23T02:06:41.2750112Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_ldl_factor_ex_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 87%] 2022-11-23T02:06:41.2750471Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_ldl_solve_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 87%] 2022-11-23T02:06:41.2750674Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_lstsq_cpu_complex128 SKIPPED (Skipped!) [ 87%] 2022-11-23T02:06:41.2750871Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_lstsq_cpu_float64 SKIPPED (Skipped!) [ 87%] 2022-11-23T02:06:41.2751125Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_lstsq_grad_oriented_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-11-23T02:06:41.2751374Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_lu_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-11-23T02:06:41.2751630Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_lu_factor_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-11-23T02:06:41.2751869Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_lu_factor_ex_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-11-23T02:06:41.2752118Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_lu_factor_ex_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-11-23T02:06:41.2752362Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_lu_solve_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 87%] 2022-11-23T02:06:41.2752613Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_lu_solve_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-11-23T02:06:41.2752898Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_matrix_norm_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-11-23T02:06:41.2753150Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_matrix_power_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-11-23T02:06:41.2753522Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_matrix_rank_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 88%] 2022-11-23T02:06:41.2753905Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_matrix_rank_hermitian_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 88%] 2022-11-23T02:06:41.2754188Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_multi_dot_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-11-23T02:06:41.2754436Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_norm_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-11-23T02:06:41.2754678Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-11-23T02:06:41.2754946Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_norm_subgradients_at_zero_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-11-23T02:06:41.2755179Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_pinv_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-11-23T02:06:41.2755417Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_pinv_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-11-23T02:06:41.2755676Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_pinv_singular_cpu_complex128 SKIPPED (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 88%] 2022-11-23T02:06:41.2755916Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_qr_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-11-23T02:06:41.2756163Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_slogdet_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-11-23T02:06:41.2756407Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_solve_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-11-23T02:06:41.2756645Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_solve_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-11-23T02:06:41.2756899Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_solve_ex_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-11-23T02:06:41.2757146Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_svd_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-11-23T02:06:41.2757394Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_svdvals_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-11-23T02:06:41.2757637Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_svdvals_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-11-23T02:06:41.2757886Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_tensorinv_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-11-23T02:06:41.2758143Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_tensorsolve_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-11-23T02:06:41.2758410Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_tensorsolve_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-11-23T02:06:41.2758658Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_vander_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-11-23T02:06:41.2758896Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_vecdot_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 88%] 2022-11-23T02:06:41.2759138Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_vecdot_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-11-23T02:06:41.2759424Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_vector_norm_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-11-23T02:06:41.2759608Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_log10_cpu_complex128 PASSED [ 89%] 2022-11-23T02:06:41.2759788Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_log10_cpu_float64 PASSED [ 89%] 2022-11-23T02:06:41.2759969Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_log2_cpu_complex128 PASSED [ 89%] 2022-11-23T02:06:41.2760144Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_log_cpu_float64 PASSED [ 89%] 2022-11-23T02:06:41.2760389Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_log_softmax_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-11-23T02:06:41.2760632Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_log_softmax_with_dtype_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-11-23T02:06:41.2760999Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_logical_and_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 89%] 2022-11-23T02:06:41.2761355Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_logical_and_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 89%] 2022-11-23T02:06:41.2761715Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_logical_not_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 89%] 2022-11-23T02:06:41.2762077Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_logical_or_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 89%] 2022-11-23T02:06:41.2762427Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_logical_or_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 89%] 2022-11-23T02:06:41.2762777Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_logical_xor_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 89%] 2022-11-23T02:06:41.2762957Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_logit_cpu_float64 PASSED [ 89%] 2022-11-23T02:06:41.2763315Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_logspace_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 89%] 2022-11-23T02:06:41.2763558Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_logsumexp_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-11-23T02:06:41.2763904Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_long_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 89%] 2022-11-23T02:06:41.2764241Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_lt_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 89%] 2022-11-23T02:06:41.2764469Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_lu_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-11-23T02:06:41.2764735Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_lu_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-11-23T02:06:41.2764984Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_lu_unpack_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-11-23T02:06:41.2765220Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_mH_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-11-23T02:06:41.2765457Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_mT_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 89%] 2022-11-23T02:06:41.2765690Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_mT_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-11-23T02:06:41.2766198Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_argmax_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 90%] 2022-11-23T02:06:41.2766456Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_cumprod_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-11-23T02:06:41.2766703Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_cumsum_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-11-23T02:06:41.2766887Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_fill_cpu_float64 PASSED [ 90%] 2022-11-23T02:06:41.2767133Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_log_softmax_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-11-23T02:06:41.2767372Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_logaddexp_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-11-23T02:06:41.2767617Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_logsumexp_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-11-23T02:06:41.2767863Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_mean_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-11-23T02:06:41.2768103Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_mean_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-11-23T02:06:41.2768357Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_normalize_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-11-23T02:06:41.2768603Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_normalize_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-11-23T02:06:41.2768850Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_prod_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-11-23T02:06:41.2769093Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_prod_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-11-23T02:06:41.2769287Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_scatter_cpu_complex128 PASSED [ 90%] 2022-11-23T02:06:41.2769528Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_std_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-11-23T02:06:41.2769769Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_std_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-11-23T02:06:41.2770019Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_sum_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-11-23T02:06:41.2770285Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_masked_sum_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-11-23T02:06:41.2770528Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_matmul_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-11-23T02:06:41.2770773Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_matrix_exp_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-11-23T02:06:41.2771008Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_max_binary_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-11-23T02:06:41.2771258Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_max_reduction_no_dim_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-11-23T02:06:41.2771557Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_max_reduction_with_dim_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-11-23T02:06:41.2771801Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_maximum_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-11-23T02:06:41.2772035Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_mean_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-11-23T02:06:41.2772271Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_median_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-11-23T02:06:41.2772527Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_meshgrid_list_of_tensors_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-11-23T02:06:41.2772792Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_meshgrid_variadic_tensors_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-11-23T02:06:41.2773032Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_minimum_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-11-23T02:06:41.2773253Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_mode_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-11-23T02:06:41.2773489Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_mv_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-11-23T02:06:41.2773722Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_mv_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-11-23T02:06:41.2773917Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_mvlgamma_mvlgamma_p_1_cpu_float64 PASSED [ 91%] 2022-11-23T02:06:41.2774114Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_mvlgamma_mvlgamma_p_3_cpu_float64 PASSED [ 91%] 2022-11-23T02:06:41.2774308Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_mvlgamma_mvlgamma_p_5_cpu_float64 PASSED [ 91%] 2022-11-23T02:06:41.2774552Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nanmedian_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-11-23T02:06:41.2774788Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nansum_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-11-23T02:06:41.2775154Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_narrow_copy_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%] 2022-11-23T02:06:41.2775511Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_narrow_copy_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%] 2022-11-23T02:06:41.2775753Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_narrow_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-11-23T02:06:41.2776006Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_narrow_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-11-23T02:06:41.2776254Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_native_batch_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-11-23T02:06:41.2776507Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_native_dropout_backward_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-11-23T02:06:41.2776753Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_native_layer_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 91%] 2022-11-23T02:06:41.2777125Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_ne_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%] 2022-11-23T02:06:41.2777309Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_neg_cpu_complex128 PASSED [ 91%] 2022-11-23T02:06:41.2777674Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_new_empty_strided_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%] 2022-11-23T02:06:41.2778027Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_new_full_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 91%] 2022-11-23T02:06:41.2778374Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_new_full_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 92%] 2022-11-23T02:06:41.2778721Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_new_ones_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 92%] 2022-11-23T02:06:41.2779305Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_new_ones_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 92%] 2022-11-23T02:06:41.2779669Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_new_zeros_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 92%] 2022-11-23T02:06:41.2780004Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_new_zeros_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 92%] 2022-11-23T02:06:41.2780281Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional__scaled_dot_product_attention_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-11-23T02:06:41.2780549Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_adaptive_avg_pool2d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-11-23T02:06:41.2780816Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_adaptive_max_pool2d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-11-23T02:06:41.2781025Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_alpha_dropout_cpu_float64 PASSED [ 92%] 2022-11-23T02:06:41.2781284Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_avg_pool2d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-11-23T02:06:41.2781538Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_batch_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-11-23T02:06:41.2781731Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_celu_cpu_float64 PASSED [ 92%] 2022-11-23T02:06:41.2782006Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_conv1d_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-11-23T02:06:41.2782407Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_conv_transpose1d_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-11-23T02:06:41.2782682Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_conv_transpose3d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-11-23T02:06:41.2782943Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_cosine_similarity_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-11-23T02:06:41.2783132Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_dropout2d_cpu_float64 PASSED [ 92%] 2022-11-23T02:06:41.2783322Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_elu_cpu_float64 PASSED [ 92%] 2022-11-23T02:06:41.2783618Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_embedding_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-11-23T02:06:41.2783845Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_feature_alpha_dropout_without_train_cpu_float64 PASSED [ 92%] 2022-11-23T02:06:41.2784095Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_glu_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-11-23T02:06:41.2784350Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_grid_sample_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-11-23T02:06:41.2784603Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_group_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-11-23T02:06:41.2784859Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_hardshrink_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 92%] 2022-11-23T02:06:41.2785060Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_hardsigmoid_cpu_float64 XFAIL [ 92%] 2022-11-23T02:06:41.2785313Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_hardswish_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:06:41.2785570Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_hardtanh_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:06:41.2785842Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_hinge_embedding_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:06:41.2786095Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_interpolate_area_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:06:41.2786367Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_interpolate_bicubic_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:06:41.2786636Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_interpolate_bilinear_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:06:41.2786901Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_interpolate_linear_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:06:41.2787153Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_layer_norm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:06:41.2787412Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_linear_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:06:41.2787692Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_max_pool1d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:06:41.2787950Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_max_pool3d_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:06:41.2788201Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_mse_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:06:41.2788462Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_multi_margin_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:06:41.2788760Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_multilabel_margin_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:06:41.2789010Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_nll_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:06:41.2789351Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_normalize_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:06:41.2789600Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_normalize_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:06:41.2789861Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_pad_circular_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:06:41.2790125Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_pad_constant_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:06:41.2790389Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_pad_replicate_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:06:41.2790650Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_pad_replicate_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:06:41.2790920Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_pairwise_distance_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:06:41.2791172Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_pdist_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:06:41.2791429Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_soft_margin_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 93%] 2022-11-23T02:06:41.2791692Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_softmin_with_dtype_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-11-23T02:06:41.2791948Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_softshrink_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-11-23T02:06:41.2792209Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_softsign_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-11-23T02:06:41.2792406Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_threshold_cpu_float64 PASSED [ 94%] 2022-11-23T02:06:41.2792673Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_triplet_margin_loss_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-11-23T02:06:41.2793004Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_triplet_margin_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-11-23T02:06:41.2793292Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_triplet_margin_with_distance_loss_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-11-23T02:06:41.2793569Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_triplet_margin_with_distance_loss_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-11-23T02:06:41.2793825Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_unfold_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-11-23T02:06:41.2794122Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_nn_functional_upsample_bilinear_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-11-23T02:06:41.2794365Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_norm_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-11-23T02:06:41.2794604Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_norm_fro_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-11-23T02:06:41.2794848Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_norm_inf_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-11-23T02:06:41.2795085Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_norm_inf_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-11-23T02:06:41.2795325Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_norm_nuc_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-11-23T02:06:41.2795567Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_norm_nuc_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-11-23T02:06:41.2795778Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_normal_cpu_float64 SKIPPED (Gradients are incorrect!) [ 94%] 2022-11-23T02:06:41.2796150Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_ones_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 94%] 2022-11-23T02:06:41.2796374Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_ormqr_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-11-23T02:06:41.2796614Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_pca_lowrank_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-11-23T02:06:41.2796856Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_permute_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-11-23T02:06:41.2797096Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_pinverse_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-11-23T02:06:41.2797337Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_polar_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-11-23T02:06:41.2797545Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_polygamma_polygamma_n_2_cpu_float64 SKIPPED (Skipped!) [ 94%] 2022-11-23T02:06:41.2797784Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_pow_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 94%] 2022-11-23T02:06:41.2798022Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_pow_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-11-23T02:06:41.2798265Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_prod_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-11-23T02:06:41.2798530Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_prod_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-11-23T02:06:41.2798718Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_put_cpu_complex128 PASSED [ 95%] 2022-11-23T02:06:41.2798943Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_qr_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-11-23T02:06:41.2799182Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_quantile_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-11-23T02:06:41.2799365Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_rad2deg_cpu_float64 PASSED [ 95%] 2022-11-23T02:06:41.2799751Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_rand_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%] 2022-11-23T02:06:41.2800106Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_randint_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%] 2022-11-23T02:06:41.2800457Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_randn_like_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%] 2022-11-23T02:06:41.2800697Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_ravel_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-11-23T02:06:41.2800938Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_real_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-11-23T02:06:41.2801178Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_real_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-11-23T02:06:41.2801369Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_reciprocal_cpu_complex128 PASSED [ 95%] 2022-11-23T02:06:41.2801557Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_reciprocal_cpu_float64 PASSED [ 95%] 2022-11-23T02:06:41.2801728Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_remainder_cpu_float64 PASSED [ 95%] 2022-11-23T02:06:41.2801971Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_repeat_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-11-23T02:06:41.2802216Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_reshape_as_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-11-23T02:06:41.2802455Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_reshape_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-11-23T02:06:41.2802804Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_resize__cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%] 2022-11-23T02:06:41.2803164Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_resize_as__cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%] 2022-11-23T02:06:41.2803513Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_resize_as__cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 95%] 2022-11-23T02:06:41.2803763Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_resolve_conj_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-11-23T02:06:41.2804014Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_resolve_neg_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-11-23T02:06:41.2804262Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_resolve_neg_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-11-23T02:06:41.2804530Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_roll_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-11-23T02:06:41.2804712Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_round_decimals_0_cpu_float64 PASSED [ 96%] 2022-11-23T02:06:41.2804896Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_rsqrt_cpu_complex128 PASSED [ 96%] 2022-11-23T02:06:41.2805073Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_rsqrt_cpu_float64 PASSED [ 96%] 2022-11-23T02:06:41.2805308Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_rsub_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-11-23T02:06:41.2805666Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_scalar_tensor_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 96%] 2022-11-23T02:06:41.2805886Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_scatter_add_cpu_float64 PASSED [ 96%] 2022-11-23T02:06:41.2806082Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_scatter_reduce_amax_cpu_float64 PASSED [ 96%] 2022-11-23T02:06:41.2806275Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_scatter_reduce_amin_cpu_float64 PASSED [ 96%] 2022-11-23T02:06:41.2806468Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_scatter_reduce_prod_cpu_float64 PASSED [ 96%] 2022-11-23T02:06:41.2806658Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_scatter_reduce_sum_cpu_float64 PASSED [ 96%] 2022-11-23T02:06:41.2806889Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_select_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-11-23T02:06:41.2807139Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_select_scatter_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-11-23T02:06:41.2807493Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_short_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 96%] 2022-11-23T02:06:41.2807682Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sigmoid_cpu_complex128 PASSED [ 96%] 2022-11-23T02:06:41.2807859Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sigmoid_cpu_float64 PASSED [ 96%] 2022-11-23T02:06:41.2808233Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_signal_windows_gaussian_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 96%] 2022-11-23T02:06:41.2808582Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_signbit_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 96%] 2022-11-23T02:06:41.2808760Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sin_cpu_float64 PASSED [ 96%] 2022-11-23T02:06:41.2808938Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sinc_cpu_float64 PASSED [ 96%] 2022-11-23T02:06:41.2809113Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sinh_cpu_float64 PASSED [ 96%] 2022-11-23T02:06:41.2809357Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_softmax_with_dtype_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-11-23T02:06:41.2809610Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_softmax_with_dtype_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-11-23T02:06:41.2809843Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sort_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 96%] 2022-11-23T02:06:41.2810096Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sparse_sampled_addmm_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-11-23T02:06:41.2810461Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_airy_ai_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%] 2022-11-23T02:06:41.2810860Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_bessel_j1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%] 2022-11-23T02:06:41.2811226Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_bessel_y0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%] 2022-11-23T02:06:41.2811614Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_chebyshev_polynomial_u_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%] 2022-11-23T02:06:41.2812006Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_chebyshev_polynomial_v_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 97%] 2022-11-23T02:06:41.2812438Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_chebyshev_polynomial_w_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 97%] 2022-11-23T02:06:41.2812688Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_entr_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-11-23T02:06:41.2813067Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_hermite_polynomial_h_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%] 2022-11-23T02:06:41.2813438Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_hermite_polynomial_he_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%] 2022-11-23T02:06:41.2813683Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_i0e_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-11-23T02:06:41.2813928Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_i1e_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-11-23T02:06:41.2814320Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_legendre_polynomial_p_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 97%] 2022-11-23T02:06:41.2814700Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_modified_bessel_i0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%] 2022-11-23T02:06:41.2815075Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_modified_bessel_k1_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%] 2022-11-23T02:06:41.2815317Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_ndtr_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-11-23T02:06:41.2815569Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_ndtri_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-11-23T02:06:41.2815960Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_scaled_modified_bessel_k0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%] 2022-11-23T02:06:41.2816366Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_shifted_chebyshev_polynomial_u_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 97%] 2022-11-23T02:06:41.2816776Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_shifted_chebyshev_polynomial_v_cpu_float64 SKIPPED (Skipping - testing takes an unreasonably long time, #79528) [ 97%] 2022-11-23T02:06:41.2817156Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_spherical_bessel_j0_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%] 2022-11-23T02:06:41.2817408Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_xlog1py_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-11-23T02:06:41.2817783Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_special_zeta_cpu_float64 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 97%] 2022-11-23T02:06:41.2818030Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_split_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 97%] 2022-11-23T02:06:41.2818276Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_split_list_args_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-11-23T02:06:41.2818526Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_split_with_sizes_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-11-23T02:06:41.2818966Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_split_with_sizes_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-11-23T02:06:41.2819195Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sqrt_cpu_complex128 PASSED [ 98%] 2022-11-23T02:06:41.2819379Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sqrt_cpu_float64 PASSED [ 98%] 2022-11-23T02:06:41.2819565Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_square_cpu_complex128 PASSED [ 98%] 2022-11-23T02:06:41.2819749Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_squeeze_cpu_complex128 PASSED [ 98%] 2022-11-23T02:06:41.2819926Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_squeeze_cpu_float64 PASSED [ 98%] 2022-11-23T02:06:41.2820168Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_std_mean_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-11-23T02:06:41.2820333Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sub_cpu_float64 PASSED [ 98%] 2022-11-23T02:06:41.2820577Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_svd_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-11-23T02:06:41.2820822Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_svd_lowrank_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-11-23T02:06:41.2821002Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_t_cpu_complex128 PASSED [ 98%] 2022-11-23T02:06:41.2821174Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_t_cpu_float64 PASSED [ 98%] 2022-11-23T02:06:41.2821345Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tan_cpu_float64 PASSED [ 98%] 2022-11-23T02:06:41.2821519Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tanh_cpu_float64 PASSED [ 98%] 2022-11-23T02:06:41.2821767Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tensor_split_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-11-23T02:06:41.2822006Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_to_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-11-23T02:06:41.2822370Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_to_sparse_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 98%] 2022-11-23T02:06:41.2822600Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_to_sparse_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-11-23T02:06:41.2822791Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_transpose_cpu_complex128 PASSED [ 98%] 2022-11-23T02:06:41.2822975Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_transpose_cpu_float64 PASSED [ 98%] 2022-11-23T02:06:41.2823226Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_triangular_solve_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 98%] 2022-11-23T02:06:41.2823406Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tril_cpu_complex128 PASSED [ 98%] 2022-11-23T02:06:41.2823651Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tril_cpu_float64 PASSED [ 98%] 2022-11-23T02:06:41.2823846Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_true_divide_cpu_complex128 PASSED [ 99%] 2022-11-23T02:06:41.2824089Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unbind_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-11-23T02:06:41.2824328Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unbind_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-11-23T02:06:41.2824575Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unflatten_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-11-23T02:06:41.2824853Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unflatten_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-11-23T02:06:41.2825100Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unfold_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-11-23T02:06:41.2825289Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unsqueeze_cpu_complex128 PASSED [ 99%] 2022-11-23T02:06:41.2825473Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unsqueeze_cpu_float64 PASSED [ 99%] 2022-11-23T02:06:41.2825711Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_var_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-11-23T02:06:41.2825953Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_var_mean_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-11-23T02:06:41.2826196Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_var_mean_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-11-23T02:06:41.2826438Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_vdot_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-11-23T02:06:41.2826671Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_vdot_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-11-23T02:06:41.2826917Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_as_complex_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-11-23T02:06:41.2827156Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_as_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-11-23T02:06:41.2827384Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_as_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-11-23T02:06:41.2827627Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_copy_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-11-23T02:06:41.2827860Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-11-23T02:06:41.2828102Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_vsplit_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-11-23T02:06:41.2828341Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_vstack_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-11-23T02:06:41.2828582Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_where_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-11-23T02:06:41.2828821Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_where_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 99%] 2022-11-23T02:06:41.2829029Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zero__cpu_float64 PASSED [ 99%] 2022-11-23T02:06:41.2829483Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zeros_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [ 99%] 2022-11-23T02:06:41.2829841Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zeros_like_cpu_complex128 SKIPPED (Skipped! Op doesn't support autograd for this dtype.) [100%] 2022-11-23T02:06:41.2829853Z 2022-11-23T02:06:41.2829966Z =============================== warnings summary =============================== 2022-11-23T02:06:41.2830170Z ../../../../../opt/conda/lib/python3.7/site-packages/_pytest/config/__init__.py:1171 2022-11-23T02:06:41.2830572Z /opt/conda/lib/python3.7/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis 2022-11-23T02:06:41.2830672Z self._mark_plugins_for_rewrite(hook) 2022-11-23T02:06:41.2830678Z 2022-11-23T02:06:41.2830920Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html 2022-11-23T02:06:41.2831256Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_gradients/test_ops_gradients-f6a660d760a67d03.xml - 2022-11-23T02:06:41.2831405Z = 953 passed, 1480 skipped, 8 deselected, 20 xfailed, 1 warning in 370.23s (0:06:10) = 2022-11-23T02:06:41.2831576Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them 2022-11-23T02:06:41.2831582Z 2022-11-23T02:06:41.2831994Z ##[endgroup] 2022-11-23T02:06:41.2832294Z FINISHED PRINTING LOG FILE of test_ops_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_gradients_d9lfp94d) 2022-11-23T02:06:41.2832304Z 2022-11-23T02:06:41.5587166Z Executing ['/opt/conda/bin/python', '-bb', 'test_ops_gradients.py', '-v', '--use-pytest', '-vv', '-rfEX', '-x', '--reruns=2', '-k=_linalg_cholesky_', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:06:41.558293] 2022-11-23T02:06:47.7794760Z 2022-11-23T02:06:47.7795322Z Expand the folded group to see the log file of test_ops_gradients 2022-11-23T02:06:47.7796507Z ##[group]PRINTING LOG FILE of test_ops_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_gradients_5d_qfmv2) 2022-11-23T02:06:47.7797410Z Test results will be stored in test-reports/python-pytest/test_ops_gradients/test_ops_gradients-443782128f837a4d.xml 2022-11-23T02:06:47.7797767Z ============================= test session starts ============================== 2022-11-23T02:06:47.7798121Z platform linux -- Python 3.7.13, pytest-7.2.0, pluggy-1.0.0 -- /opt/conda/bin/python 2022-11-23T02:06:47.7798389Z cachedir: .pytest_cache 2022-11-23T02:06:47.7798806Z hypothesis profile 'pytorch_ci' -> database=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow] 2022-11-23T02:06:47.7799150Z rootdir: /var/lib/jenkins/workspace, configfile: pytest.ini 2022-11-23T02:06:47.7799578Z plugins: hypothesis-5.35.1, flakefinder-1.1.0, rerunfailures-10.3, shard-0.1.2, xdist-3.0.2, xdoctest-1.0.2 2022-11-23T02:06:47.7799912Z collecting ... collected 4845 items / 4825 deselected / 20 selected 2022-11-23T02:06:47.7802429Z Running 20 items in this shard: test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_cholesky_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_cholesky_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_cholesky_ex_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_cholesky_ex_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_cholesky_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_cholesky_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_cholesky_ex_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_cholesky_ex_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_cholesky_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_cholesky_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_cholesky_ex_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_cholesky_ex_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_cholesky_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_cholesky_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_cholesky_ex_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_cholesky_ex_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_cholesky_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_cholesky_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_cholesky_ex_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_cholesky_ex_cpu_float64 2022-11-23T02:06:47.7804859Z 2022-11-23T02:06:47.7805157Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_cholesky_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 5%] 2022-11-23T02:06:47.7805657Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_cholesky_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 10%] 2022-11-23T02:06:47.7806195Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_cholesky_ex_cpu_complex128 SKIPPED (Skipped! Operation does support gradgrad) [ 15%] 2022-11-23T02:06:47.7806676Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_linalg_cholesky_ex_cpu_float64 SKIPPED (Skipped! Operation does support gradgrad) [ 20%] 2022-11-23T02:06:47.7807105Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_cholesky_cpu_complex128 PASSED [ 25%] 2022-11-23T02:06:47.7807535Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_cholesky_cpu_float64 PASSED [ 30%] 2022-11-23T02:06:47.7808042Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_cholesky_ex_cpu_complex128 PASSED [ 35%] 2022-11-23T02:06:47.7808414Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_grad_linalg_cholesky_ex_cpu_float64 PASSED [ 40%] 2022-11-23T02:06:47.7808841Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_cholesky_cpu_complex128 PASSED [ 45%] 2022-11-23T02:06:47.7809225Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_cholesky_cpu_float64 PASSED [ 50%] 2022-11-23T02:06:47.7809607Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_cholesky_ex_cpu_complex128 PASSED [ 55%] 2022-11-23T02:06:47.7809997Z test_ops_gradients.py::TestBwdGradientsCPU::test_fn_gradgrad_linalg_cholesky_ex_cpu_float64 PASSED [ 60%] 2022-11-23T02:06:47.7810418Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_cholesky_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 65%] 2022-11-23T02:06:47.7810863Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_cholesky_cpu_float64 SKIPPED (Op has no inplace variant!) [ 70%] 2022-11-23T02:06:47.7811299Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_cholesky_ex_cpu_complex128 SKIPPED (Op has no inplace variant!) [ 75%] 2022-11-23T02:06:47.7811748Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_grad_linalg_cholesky_ex_cpu_float64 SKIPPED (Op has no inplace variant!) [ 80%] 2022-11-23T02:06:47.7812231Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_cholesky_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 85%] 2022-11-23T02:06:47.7812747Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_cholesky_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 90%] 2022-11-23T02:06:47.7813312Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_cholesky_ex_cpu_complex128 SKIPPED (Skipped! Operation does not support inplace autograd.) [ 95%] 2022-11-23T02:06:47.7813820Z test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_linalg_cholesky_ex_cpu_float64 SKIPPED (Skipped! Operation does not support inplace autograd.) [100%] 2022-11-23T02:06:47.7814088Z 2022-11-23T02:06:47.7814204Z =============================== warnings summary =============================== 2022-11-23T02:06:47.7814587Z ../../../../../opt/conda/lib/python3.7/site-packages/_pytest/config/__init__.py:1171 2022-11-23T02:06:47.7815151Z /opt/conda/lib/python3.7/site-packages/_pytest/config/__init__.py:1171: PytestAssertRewriteWarning: Module already imported so cannot be rewritten: hypothesis 2022-11-23T02:06:47.7815495Z self._mark_plugins_for_rewrite(hook) 2022-11-23T02:06:47.7815630Z 2022-11-23T02:06:47.7815861Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html 2022-11-23T02:06:47.7816383Z - generated xml file: /var/lib/jenkins/workspace/test/test-reports/python-pytest/test_ops_gradients/test_ops_gradients-443782128f837a4d.xml - 2022-11-23T02:06:47.7816748Z ========== 8 passed, 12 skipped, 4825 deselected, 1 warning in 2.92s =========== 2022-11-23T02:06:47.7817073Z If in CI, skip info is located in the xml test reports, please either go to s3 or the hud to download them 2022-11-23T02:06:47.7817266Z 2022-11-23T02:06:47.7817535Z ##[endgroup] 2022-11-23T02:06:47.7817920Z FINISHED PRINTING LOG FILE of test_ops_gradients (/var/lib/jenkins/workspace/test/test-reports/test_ops_gradients_5d_qfmv2) 2022-11-23T02:06:47.7818143Z 2022-11-23T02:06:47.7818317Z Running test_modules ... [2022-11-23 02:06:47.780373] 2022-11-23T02:06:47.7818981Z Executing ['/opt/conda/bin/python', '-bb', 'test_modules.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:06:47.780689] 2022-11-23T02:09:23.5973899Z 2022-11-23T02:09:23.5974589Z Expand the folded group to see the log file of test_modules 2022-11-23T02:09:23.5975548Z ##[group]PRINTING LOG FILE of test_modules (/var/lib/jenkins/workspace/test/test-reports/test_modules_p0wds2qp) 2022-11-23T02:09:23.5978642Z Test results will be stored in test-reports/python-unittest/test_modules 2022-11-23T02:09:23.6019720Z 2022-11-23T02:09:23.6019924Z Running tests... 2022-11-23T02:09:23.6020512Z ---------------------------------------------------------------------- 2022-11-23T02:09:23.6020866Z test_check_inplace_nn_ELU_cpu_float32 (__main__.TestModuleCPU) ... ok (0.007s) 2022-11-23T02:09:23.6021222Z test_check_inplace_nn_ELU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6021739Z test_check_inplace_nn_Hardswish_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6022177Z test_check_inplace_nn_Hardswish_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6022508Z test_check_inplace_nn_ReLU_cpu_float32 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6022898Z test_check_inplace_nn_ReLU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6023550Z test_cpu_gpu_parity_ao_nn_quantized_MaxPool2d_cpu_float32 (__main__.TestModuleCPU) ... skip: Skipped! (0.003s) 2022-11-23T02:09:23.6024194Z test_cpu_gpu_parity_ao_nn_quantized_MaxPool2d_cpu_float64 (__main__.TestModuleCPU) ... skip: Skipped! (0.003s) 2022-11-23T02:09:23.6024810Z test_cpu_gpu_parity_nn_AdaptiveAvgPool2d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6025403Z test_cpu_gpu_parity_nn_AdaptiveAvgPool2d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6026043Z test_cpu_gpu_parity_nn_AvgPool1d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6026651Z test_cpu_gpu_parity_nn_AvgPool1d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6027559Z test_cpu_gpu_parity_nn_BatchNorm2d_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6028197Z test_cpu_gpu_parity_nn_BatchNorm2d_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6028943Z test_cpu_gpu_parity_nn_BatchNorm2d_train_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6029858Z test_cpu_gpu_parity_nn_BatchNorm2d_train_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6030710Z test_cpu_gpu_parity_nn_BatchNorm3d_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6031688Z test_cpu_gpu_parity_nn_BatchNorm3d_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6032546Z test_cpu_gpu_parity_nn_BatchNorm3d_train_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6033416Z test_cpu_gpu_parity_nn_BatchNorm3d_train_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6034237Z test_cpu_gpu_parity_nn_Bilinear_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6035037Z test_cpu_gpu_parity_nn_Bilinear_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6035788Z test_cpu_gpu_parity_nn_Conv1d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6036571Z test_cpu_gpu_parity_nn_Conv1d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6037346Z test_cpu_gpu_parity_nn_Conv2d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6038100Z test_cpu_gpu_parity_nn_Conv2d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6038759Z test_cpu_gpu_parity_nn_Conv3d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6039284Z test_cpu_gpu_parity_nn_Conv3d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6039653Z test_cpu_gpu_parity_nn_ConvTranspose1d_cpu_complex128 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6040023Z test_cpu_gpu_parity_nn_ConvTranspose1d_cpu_complex32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6067553Z test_cpu_gpu_parity_nn_ConvTranspose1d_cpu_complex64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6067945Z test_cpu_gpu_parity_nn_ConvTranspose1d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6068703Z test_cpu_gpu_parity_nn_ConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6069088Z test_cpu_gpu_parity_nn_ConvTranspose2d_cpu_complex128 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6069563Z test_cpu_gpu_parity_nn_ConvTranspose2d_cpu_complex32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6069932Z test_cpu_gpu_parity_nn_ConvTranspose2d_cpu_complex64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6070316Z test_cpu_gpu_parity_nn_ConvTranspose2d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6070692Z test_cpu_gpu_parity_nn_ConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6071069Z test_cpu_gpu_parity_nn_ConvTranspose3d_cpu_complex128 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6071436Z test_cpu_gpu_parity_nn_ConvTranspose3d_cpu_complex32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6071820Z test_cpu_gpu_parity_nn_ConvTranspose3d_cpu_complex64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6072310Z test_cpu_gpu_parity_nn_ConvTranspose3d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6072675Z test_cpu_gpu_parity_nn_ConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6073053Z test_cpu_gpu_parity_nn_CrossEntropyLoss_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6073438Z test_cpu_gpu_parity_nn_CrossEntropyLoss_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6073803Z test_cpu_gpu_parity_nn_ELU_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6074187Z test_cpu_gpu_parity_nn_ELU_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6074546Z test_cpu_gpu_parity_nn_Embedding_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6074917Z test_cpu_gpu_parity_nn_Embedding_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6075273Z test_cpu_gpu_parity_nn_GRUCell_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6075611Z test_cpu_gpu_parity_nn_GRUCell_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6075973Z test_cpu_gpu_parity_nn_GRU_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6076337Z test_cpu_gpu_parity_nn_GRU_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6076708Z test_cpu_gpu_parity_nn_GRU_train_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6077056Z test_cpu_gpu_parity_nn_GRU_train_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6077426Z test_cpu_gpu_parity_nn_GaussianNLLLoss_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6077804Z test_cpu_gpu_parity_nn_GaussianNLLLoss_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6078170Z test_cpu_gpu_parity_nn_Hardswish_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6078515Z test_cpu_gpu_parity_nn_Hardswish_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6078868Z test_cpu_gpu_parity_nn_L1Loss_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6079217Z test_cpu_gpu_parity_nn_L1Loss_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6079560Z test_cpu_gpu_parity_nn_LSTMCell_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6079912Z test_cpu_gpu_parity_nn_LSTMCell_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6080274Z test_cpu_gpu_parity_nn_LSTM_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6080637Z test_cpu_gpu_parity_nn_LSTM_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6080989Z test_cpu_gpu_parity_nn_LSTM_train_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6081353Z test_cpu_gpu_parity_nn_LSTM_train_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6081719Z test_cpu_gpu_parity_nn_LazyConv1d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6082078Z test_cpu_gpu_parity_nn_LazyConv1d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6082425Z test_cpu_gpu_parity_nn_LazyConv2d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6082814Z test_cpu_gpu_parity_nn_LazyConv2d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6083174Z test_cpu_gpu_parity_nn_LazyConv3d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6083530Z test_cpu_gpu_parity_nn_LazyConv3d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6083891Z test_cpu_gpu_parity_nn_LazyConvTranspose1d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6084279Z test_cpu_gpu_parity_nn_LazyConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6084694Z test_cpu_gpu_parity_nn_LazyConvTranspose2d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6085077Z test_cpu_gpu_parity_nn_LazyConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6085454Z test_cpu_gpu_parity_nn_LazyConvTranspose3d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6085838Z test_cpu_gpu_parity_nn_LazyConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6086203Z test_cpu_gpu_parity_nn_Linear_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6086542Z test_cpu_gpu_parity_nn_Linear_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6086919Z test_cpu_gpu_parity_nn_MultiheadAttention_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6087320Z test_cpu_gpu_parity_nn_MultiheadAttention_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6087725Z test_cpu_gpu_parity_nn_MultiheadAttention_train_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6088117Z test_cpu_gpu_parity_nn_MultiheadAttention_train_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6088499Z test_cpu_gpu_parity_nn_NLLLoss_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6088852Z test_cpu_gpu_parity_nn_NLLLoss_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6089200Z test_cpu_gpu_parity_nn_RNNCell_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6089532Z test_cpu_gpu_parity_nn_RNNCell_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6089890Z test_cpu_gpu_parity_nn_RNN_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6090248Z test_cpu_gpu_parity_nn_RNN_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6090609Z test_cpu_gpu_parity_nn_RNN_train_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6090955Z test_cpu_gpu_parity_nn_RNN_train_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6091311Z test_cpu_gpu_parity_nn_ReLU_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6091658Z test_cpu_gpu_parity_nn_ReLU_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6092007Z test_cpu_gpu_parity_nn_Sigmoid_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6092347Z test_cpu_gpu_parity_nn_Sigmoid_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6092732Z test_cpu_gpu_parity_nn_TransformerDecoderLayer_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6093164Z test_cpu_gpu_parity_nn_TransformerDecoderLayer_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6093575Z test_cpu_gpu_parity_nn_TransformerEncoderLayer_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6093984Z test_cpu_gpu_parity_nn_TransformerEncoderLayer_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6094409Z test_cpu_gpu_parity_nn_TransformerEncoderLayer_train_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6094832Z test_cpu_gpu_parity_nn_TransformerEncoderLayer_train_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6095253Z test_cpu_gpu_parity_nn_Transformer_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6095599Z test_cpu_gpu_parity_nn_Transformer_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:09:23.6095955Z test_factory_kwargs_ao_nn_quantized_MaxPool2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6096303Z test_factory_kwargs_ao_nn_quantized_MaxPool2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6096638Z test_factory_kwargs_nn_AdaptiveAvgPool2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6096978Z test_factory_kwargs_nn_AdaptiveAvgPool2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6097305Z test_factory_kwargs_nn_AvgPool1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6097624Z test_factory_kwargs_nn_AvgPool1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6097944Z test_factory_kwargs_nn_BatchNorm2d_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6098284Z test_factory_kwargs_nn_BatchNorm2d_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6098629Z test_factory_kwargs_nn_BatchNorm2d_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6099174Z test_factory_kwargs_nn_BatchNorm2d_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6099503Z test_factory_kwargs_nn_BatchNorm3d_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6099847Z test_factory_kwargs_nn_BatchNorm3d_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6100191Z test_factory_kwargs_nn_BatchNorm3d_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6100527Z test_factory_kwargs_nn_BatchNorm3d_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6100859Z test_factory_kwargs_nn_Bilinear_cpu_float32 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6101172Z test_factory_kwargs_nn_Bilinear_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6101488Z test_factory_kwargs_nn_Conv1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.007s) 2022-11-23T02:09:23.6101788Z test_factory_kwargs_nn_Conv1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6102096Z test_factory_kwargs_nn_Conv2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6102405Z test_factory_kwargs_nn_Conv2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6102699Z test_factory_kwargs_nn_Conv3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6103004Z test_factory_kwargs_nn_Conv3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6103326Z test_factory_kwargs_nn_ConvTranspose1d_cpu_complex128 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6104276Z test_factory_kwargs_nn_ConvTranspose1d_cpu_complex32 (__main__.TestModuleCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_creation.py:151: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/EmptyTensor.cpp:32.) 2022-11-23T02:09:23.6104893Z result = torch.empty(shape, device=device, dtype=dtype) 2022-11-23T02:09:23.6105098Z ok (0.004s) 2022-11-23T02:09:23.6105358Z test_factory_kwargs_nn_ConvTranspose1d_cpu_complex64 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6105699Z test_factory_kwargs_nn_ConvTranspose1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6106035Z test_factory_kwargs_nn_ConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6106361Z test_factory_kwargs_nn_ConvTranspose2d_cpu_complex128 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6106753Z test_factory_kwargs_nn_ConvTranspose2d_cpu_complex32 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6107088Z test_factory_kwargs_nn_ConvTranspose2d_cpu_complex64 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6107414Z test_factory_kwargs_nn_ConvTranspose2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6107744Z test_factory_kwargs_nn_ConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6108081Z test_factory_kwargs_nn_ConvTranspose3d_cpu_complex128 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6108424Z test_factory_kwargs_nn_ConvTranspose3d_cpu_complex32 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6108749Z test_factory_kwargs_nn_ConvTranspose3d_cpu_complex64 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6109080Z test_factory_kwargs_nn_ConvTranspose3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6109505Z test_factory_kwargs_nn_ConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6109833Z test_factory_kwargs_nn_CrossEntropyLoss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.008s) 2022-11-23T02:09:23.6110169Z test_factory_kwargs_nn_CrossEntropyLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.008s) 2022-11-23T02:09:23.6110487Z test_factory_kwargs_nn_ELU_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6110787Z test_factory_kwargs_nn_ELU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6111091Z test_factory_kwargs_nn_Embedding_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6111408Z test_factory_kwargs_nn_Embedding_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6111728Z test_factory_kwargs_nn_GRUCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6112039Z test_factory_kwargs_nn_GRUCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6112344Z test_factory_kwargs_nn_GRU_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.032s) 2022-11-23T02:09:23.6112663Z test_factory_kwargs_nn_GRU_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.033s) 2022-11-23T02:09:23.6112984Z test_factory_kwargs_nn_GRU_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.034s) 2022-11-23T02:09:23.6113294Z test_factory_kwargs_nn_GRU_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.033s) 2022-11-23T02:09:23.6113622Z test_factory_kwargs_nn_GaussianNLLLoss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6113957Z test_factory_kwargs_nn_GaussianNLLLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6114278Z test_factory_kwargs_nn_Hardswish_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6114583Z test_factory_kwargs_nn_Hardswish_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6114895Z test_factory_kwargs_nn_L1Loss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6115207Z test_factory_kwargs_nn_L1Loss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6115508Z test_factory_kwargs_nn_LSTMCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6115857Z test_factory_kwargs_nn_LSTMCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6116177Z test_factory_kwargs_nn_LSTM_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.070s) 2022-11-23T02:09:23.6116506Z test_factory_kwargs_nn_LSTM_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.070s) 2022-11-23T02:09:23.6116815Z test_factory_kwargs_nn_LSTM_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.070s) 2022-11-23T02:09:23.6117136Z test_factory_kwargs_nn_LSTM_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.070s) 2022-11-23T02:09:23.6117859Z test_factory_kwargs_nn_LazyConv1d_cpu_float32 (__main__.TestModuleCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T02:09:23.6118458Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T02:09:23.6118680Z ok (0.007s) 2022-11-23T02:09:23.6118929Z test_factory_kwargs_nn_LazyConv1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.008s) 2022-11-23T02:09:23.6119251Z test_factory_kwargs_nn_LazyConv2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6119560Z test_factory_kwargs_nn_LazyConv2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.007s) 2022-11-23T02:09:23.6119883Z test_factory_kwargs_nn_LazyConv3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6120202Z test_factory_kwargs_nn_LazyConv3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.007s) 2022-11-23T02:09:23.6120540Z test_factory_kwargs_nn_LazyConvTranspose1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6120883Z test_factory_kwargs_nn_LazyConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6121231Z test_factory_kwargs_nn_LazyConvTranspose2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6121581Z test_factory_kwargs_nn_LazyConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6121909Z test_factory_kwargs_nn_LazyConvTranspose3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6122250Z test_factory_kwargs_nn_LazyConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6122583Z test_factory_kwargs_nn_Linear_cpu_float32 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6122901Z test_factory_kwargs_nn_Linear_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6123234Z test_factory_kwargs_nn_MultiheadAttention_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.082s) 2022-11-23T02:09:23.6123604Z test_factory_kwargs_nn_MultiheadAttention_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.082s) 2022-11-23T02:09:23.6123967Z test_factory_kwargs_nn_MultiheadAttention_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.082s) 2022-11-23T02:09:23.6124333Z test_factory_kwargs_nn_MultiheadAttention_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.082s) 2022-11-23T02:09:23.6137180Z test_factory_kwargs_nn_NLLLoss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6137526Z test_factory_kwargs_nn_NLLLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6137850Z test_factory_kwargs_nn_RNNCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6138163Z test_factory_kwargs_nn_RNNCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6138465Z test_factory_kwargs_nn_RNN_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.156s) 2022-11-23T02:09:23.6138973Z test_factory_kwargs_nn_RNN_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.063s) 2022-11-23T02:09:23.6139310Z test_factory_kwargs_nn_RNN_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.063s) 2022-11-23T02:09:23.6139624Z test_factory_kwargs_nn_RNN_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.063s) 2022-11-23T02:09:23.6140065Z test_factory_kwargs_nn_ReLU_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6140378Z test_factory_kwargs_nn_ReLU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6140694Z test_factory_kwargs_nn_Sigmoid_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6140993Z test_factory_kwargs_nn_Sigmoid_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6141339Z test_factory_kwargs_nn_TransformerDecoderLayer_cpu_float32 (__main__.TestModuleCPU) ... ok (0.066s) 2022-11-23T02:09:23.6141706Z test_factory_kwargs_nn_TransformerDecoderLayer_cpu_float64 (__main__.TestModuleCPU) ... ok (0.067s) 2022-11-23T02:09:23.6142114Z test_factory_kwargs_nn_TransformerEncoderLayer_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.054s) 2022-11-23T02:09:23.6142504Z test_factory_kwargs_nn_TransformerEncoderLayer_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.054s) 2022-11-23T02:09:23.6142895Z test_factory_kwargs_nn_TransformerEncoderLayer_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.049s) 2022-11-23T02:09:23.6143285Z test_factory_kwargs_nn_TransformerEncoderLayer_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.049s) 2022-11-23T02:09:23.6143630Z test_factory_kwargs_nn_Transformer_cpu_float32 (__main__.TestModuleCPU) ... ok (0.166s) 2022-11-23T02:09:23.6143950Z test_factory_kwargs_nn_Transformer_cpu_float64 (__main__.TestModuleCPU) ... ok (0.165s) 2022-11-23T02:09:23.6144275Z test_forward_ao_nn_quantized_MaxPool2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6144607Z test_forward_ao_nn_quantized_MaxPool2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6144930Z test_forward_nn_AdaptiveAvgPool2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6145264Z test_forward_nn_AdaptiveAvgPool2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6145587Z test_forward_nn_AvgPool1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6145884Z test_forward_nn_AvgPool1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6146204Z test_forward_nn_BatchNorm2d_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6146531Z test_forward_nn_BatchNorm2d_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6146857Z test_forward_nn_BatchNorm2d_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6147173Z test_forward_nn_BatchNorm2d_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6147502Z test_forward_nn_BatchNorm3d_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6147828Z test_forward_nn_BatchNorm3d_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6148150Z test_forward_nn_BatchNorm3d_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6148470Z test_forward_nn_BatchNorm3d_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6148782Z test_forward_nn_Bilinear_cpu_float32 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6149084Z test_forward_nn_Bilinear_cpu_float64 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6149461Z test_forward_nn_Conv1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6149756Z test_forward_nn_Conv1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6150051Z test_forward_nn_Conv2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6150348Z test_forward_nn_Conv2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6150626Z test_forward_nn_Conv3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.007s) 2022-11-23T02:09:23.6150918Z test_forward_nn_Conv3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6152042Z test_forward_nn_ConvTranspose1d_cpu_complex128 (__main__.TestModuleCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py:1109: UserWarning: Complex modules are a new feature under active development whose design may change, and some modules might not work as expected when using complex tensors as parameters or buffers. Please file an issue at https://github.com/pytorch/pytorch/issues/new?template=bug-report.yml if a complex module does not work as expected. 2022-11-23T02:09:23.6152783Z "Complex modules are a new feature under active development whose design may change, " 2022-11-23T02:09:23.6153026Z ok (0.004s) 2022-11-23T02:09:23.6153283Z test_forward_nn_ConvTranspose1d_cpu_complex32 (__main__.TestModuleCPU) ... expected failure (0.011s) 2022-11-23T02:09:23.6153660Z test_forward_nn_ConvTranspose1d_cpu_complex64 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6153982Z test_forward_nn_ConvTranspose1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6154290Z test_forward_nn_ConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6154617Z test_forward_nn_ConvTranspose2d_cpu_complex128 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6154962Z test_forward_nn_ConvTranspose2d_cpu_complex32 (__main__.TestModuleCPU) ... expected failure (0.011s) 2022-11-23T02:09:23.6155302Z test_forward_nn_ConvTranspose2d_cpu_complex64 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6155613Z test_forward_nn_ConvTranspose2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6155937Z test_forward_nn_ConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6156262Z test_forward_nn_ConvTranspose3d_cpu_complex128 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6156605Z test_forward_nn_ConvTranspose3d_cpu_complex32 (__main__.TestModuleCPU) ... expected failure (0.011s) 2022-11-23T02:09:23.6156929Z test_forward_nn_ConvTranspose3d_cpu_complex64 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6157255Z test_forward_nn_ConvTranspose3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6157573Z test_forward_nn_ConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6157880Z test_forward_nn_CrossEntropyLoss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.010s) 2022-11-23T02:09:23.6158206Z test_forward_nn_CrossEntropyLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.010s) 2022-11-23T02:09:23.6158514Z test_forward_nn_ELU_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6158805Z test_forward_nn_ELU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6159091Z test_forward_nn_Embedding_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6159398Z test_forward_nn_Embedding_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6159701Z test_forward_nn_GRUCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6159987Z test_forward_nn_GRUCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6160290Z test_forward_nn_GRU_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.063s) 2022-11-23T02:09:23.6160601Z test_forward_nn_GRU_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.064s) 2022-11-23T02:09:23.6160902Z test_forward_nn_GRU_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.062s) 2022-11-23T02:09:23.6161208Z test_forward_nn_GRU_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.064s) 2022-11-23T02:09:23.6161521Z test_forward_nn_GaussianNLLLoss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6161832Z test_forward_nn_GaussianNLLLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6162141Z test_forward_nn_Hardswish_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6162445Z test_forward_nn_Hardswish_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6162769Z test_forward_nn_L1Loss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6163054Z test_forward_nn_L1Loss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6163351Z test_forward_nn_LSTMCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6163651Z test_forward_nn_LSTMCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6163947Z test_forward_nn_LSTM_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.132s) 2022-11-23T02:09:23.6164255Z test_forward_nn_LSTM_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.135s) 2022-11-23T02:09:23.6164594Z test_forward_nn_LSTM_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.132s) 2022-11-23T02:09:23.6164911Z test_forward_nn_LSTM_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.135s) 2022-11-23T02:09:23.6165209Z test_forward_nn_LazyConv1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.007s) 2022-11-23T02:09:23.6165520Z test_forward_nn_LazyConv1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6165830Z test_forward_nn_LazyConv2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6166123Z test_forward_nn_LazyConv2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.007s) 2022-11-23T02:09:23.6166428Z test_forward_nn_LazyConv3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.007s) 2022-11-23T02:09:23.6166739Z test_forward_nn_LazyConv3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.007s) 2022-11-23T02:09:23.6167063Z test_forward_nn_LazyConvTranspose1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6167391Z test_forward_nn_LazyConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6167726Z test_forward_nn_LazyConvTranspose2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6168061Z test_forward_nn_LazyConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6168380Z test_forward_nn_LazyConvTranspose3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6168711Z test_forward_nn_LazyConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6169033Z test_forward_nn_Linear_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6169334Z test_forward_nn_Linear_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6169651Z test_forward_nn_MultiheadAttention_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.184s) 2022-11-23T02:09:23.6170002Z test_forward_nn_MultiheadAttention_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.183s) 2022-11-23T02:09:23.6170359Z test_forward_nn_MultiheadAttention_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.184s) 2022-11-23T02:09:23.6170714Z test_forward_nn_MultiheadAttention_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.181s) 2022-11-23T02:09:23.6171033Z test_forward_nn_NLLLoss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.008s) 2022-11-23T02:09:23.6171335Z test_forward_nn_NLLLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.008s) 2022-11-23T02:09:23.6171638Z test_forward_nn_RNNCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6171923Z test_forward_nn_RNNCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6172230Z test_forward_nn_RNN_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.093s) 2022-11-23T02:09:23.6172539Z test_forward_nn_RNN_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.093s) 2022-11-23T02:09:23.6172852Z test_forward_nn_RNN_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.093s) 2022-11-23T02:09:23.6173150Z test_forward_nn_RNN_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.093s) 2022-11-23T02:09:23.6173453Z test_forward_nn_ReLU_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6173744Z test_forward_nn_ReLU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6174053Z test_forward_nn_Sigmoid_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6174349Z test_forward_nn_Sigmoid_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6174673Z test_forward_nn_TransformerDecoderLayer_cpu_float32 (__main__.TestModuleCPU) ... ok (0.108s) 2022-11-23T02:09:23.6175027Z test_forward_nn_TransformerDecoderLayer_cpu_float64 (__main__.TestModuleCPU) ... ok (0.109s) 2022-11-23T02:09:23.6175380Z test_forward_nn_TransformerEncoderLayer_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.082s) 2022-11-23T02:09:23.6175747Z test_forward_nn_TransformerEncoderLayer_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.082s) 2022-11-23T02:09:23.6176149Z test_forward_nn_TransformerEncoderLayer_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.073s) 2022-11-23T02:09:23.6176508Z test_forward_nn_TransformerEncoderLayer_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.073s) 2022-11-23T02:09:23.6176848Z test_forward_nn_Transformer_cpu_float32 (__main__.TestModuleCPU) ... ok (0.196s) 2022-11-23T02:09:23.6177159Z test_forward_nn_Transformer_cpu_float64 (__main__.TestModuleCPU) ... ok (0.197s) 2022-11-23T02:09:23.6177475Z test_grad_ao_nn_quantized_MaxPool2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.008s) 2022-11-23T02:09:23.6177790Z test_grad_nn_AdaptiveAvgPool2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6178101Z test_grad_nn_AvgPool1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6178408Z test_grad_nn_BatchNorm2d_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6178723Z test_grad_nn_BatchNorm2d_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6179200Z test_grad_nn_BatchNorm3d_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6179522Z test_grad_nn_BatchNorm3d_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6179836Z test_grad_nn_Bilinear_cpu_float64 (__main__.TestModuleCPU) ... ok (0.020s) 2022-11-23T02:09:23.6180121Z test_grad_nn_Conv1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.018s) 2022-11-23T02:09:23.6180409Z test_grad_nn_Conv2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.020s) 2022-11-23T02:09:23.6180692Z test_grad_nn_Conv3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.023s) 2022-11-23T02:09:23.6180980Z test_grad_nn_ConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.010s) 2022-11-23T02:09:23.6181294Z test_grad_nn_ConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.010s) 2022-11-23T02:09:23.6181606Z test_grad_nn_ConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.011s) 2022-11-23T02:09:23.6181922Z test_grad_nn_CrossEntropyLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.025s) 2022-11-23T02:09:23.6182210Z test_grad_nn_ELU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6182504Z test_grad_nn_Embedding_cpu_float64 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6182801Z test_grad_nn_GRUCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.016s) 2022-11-23T02:09:23.6183087Z test_grad_nn_GRU_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.690s) 2022-11-23T02:09:23.6183387Z test_grad_nn_GRU_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.694s) 2022-11-23T02:09:23.6183695Z test_grad_nn_GaussianNLLLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.013s) 2022-11-23T02:09:23.6183998Z test_grad_nn_Hardswish_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6184275Z test_grad_nn_L1Loss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.011s) 2022-11-23T02:09:23.6184570Z test_grad_nn_LSTMCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.026s) 2022-11-23T02:09:23.6184871Z test_grad_nn_LSTM_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (1.920s) 2022-11-23T02:09:23.6185165Z test_grad_nn_LSTM_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (1.919s) 2022-11-23T02:09:23.6185941Z test_grad_nn_LazyConv1d_cpu_float64 (__main__.TestModuleCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T02:09:23.6186508Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T02:09:23.6187082Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T02:09:23.6187612Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T02:09:23.6188166Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T02:09:23.6188658Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T02:09:23.6189311Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T02:09:23.6189807Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T02:09:23.6190027Z ok (0.020s) 2022-11-23T02:09:23.6190635Z test_grad_nn_LazyConv2d_cpu_float64 (__main__.TestModuleCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T02:09:23.6191185Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T02:09:23.6191752Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T02:09:23.6192220Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T02:09:23.6192781Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T02:09:23.6193264Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T02:09:23.6193832Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T02:09:23.6194300Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T02:09:23.6194530Z ok (0.021s) 2022-11-23T02:09:23.6195132Z test_grad_nn_LazyConv3d_cpu_float64 (__main__.TestModuleCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T02:09:23.6195673Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T02:09:23.6196225Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T02:09:23.6196706Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T02:09:23.6197272Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T02:09:23.6197753Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T02:09:23.6198335Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T02:09:23.6198822Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T02:09:23.6199052Z ok (0.025s) 2022-11-23T02:09:23.6199672Z test_grad_nn_LazyConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T02:09:23.6200210Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T02:09:23.6200804Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T02:09:23.6201289Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T02:09:23.6201519Z ok (0.010s) 2022-11-23T02:09:23.6202126Z test_grad_nn_LazyConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T02:09:23.6202677Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T02:09:23.6203235Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T02:09:23.6203716Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T02:09:23.6203933Z ok (0.011s) 2022-11-23T02:09:23.6204547Z test_grad_nn_LazyConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T02:09:23.6205091Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T02:09:23.6205648Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T02:09:23.6206115Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T02:09:23.6206347Z ok (0.012s) 2022-11-23T02:09:23.6206579Z test_grad_nn_Linear_cpu_float64 (__main__.TestModuleCPU) ... ok (0.010s) 2022-11-23T02:09:23.6206897Z test_grad_nn_MultiheadAttention_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (1.381s) 2022-11-23T02:09:23.6207251Z test_grad_nn_MultiheadAttention_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (1.350s) 2022-11-23T02:09:23.6207573Z test_grad_nn_NLLLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.014s) 2022-11-23T02:09:23.6207867Z test_grad_nn_RNNCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.017s) 2022-11-23T02:09:23.6208151Z test_grad_nn_RNN_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.806s) 2022-11-23T02:09:23.6208456Z test_grad_nn_RNN_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.813s) 2022-11-23T02:09:23.6208752Z test_grad_nn_ReLU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6209027Z test_grad_nn_Sigmoid_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6209348Z test_grad_nn_TransformerDecoderLayer_cpu_float64 (__main__.TestModuleCPU) ... ok (1.101s) 2022-11-23T02:09:23.6209709Z test_grad_nn_TransformerEncoderLayer_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.574s) 2022-11-23T02:09:23.6210079Z test_grad_nn_TransformerEncoderLayer_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.512s) 2022-11-23T02:09:23.6210401Z test_grad_nn_Transformer_cpu_float64 (__main__.TestModuleCPU) ... ok (2.850s) 2022-11-23T02:09:23.6210754Z test_gradgrad_ao_nn_quantized_MaxPool2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.012s) 2022-11-23T02:09:23.6211096Z test_gradgrad_nn_AdaptiveAvgPool2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6211410Z test_gradgrad_nn_AvgPool1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6211734Z test_gradgrad_nn_BatchNorm2d_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.013s) 2022-11-23T02:09:23.6212064Z test_gradgrad_nn_BatchNorm2d_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.017s) 2022-11-23T02:09:23.6212395Z test_gradgrad_nn_BatchNorm3d_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.014s) 2022-11-23T02:09:23.6212776Z test_gradgrad_nn_BatchNorm3d_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.018s) 2022-11-23T02:09:23.6213098Z test_gradgrad_nn_Bilinear_cpu_float64 (__main__.TestModuleCPU) ... ok (0.086s) 2022-11-23T02:09:23.6213405Z test_gradgrad_nn_Conv1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.060s) 2022-11-23T02:09:23.6213692Z test_gradgrad_nn_Conv2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.065s) 2022-11-23T02:09:23.6213991Z test_gradgrad_nn_Conv3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.078s) 2022-11-23T02:09:23.6214302Z test_gradgrad_nn_ConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.031s) 2022-11-23T02:09:23.6214630Z test_gradgrad_nn_ConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.033s) 2022-11-23T02:09:23.6214943Z test_gradgrad_nn_ConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.040s) 2022-11-23T02:09:23.6215275Z test_gradgrad_nn_CrossEntropyLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.059s) 2022-11-23T02:09:23.6215586Z test_gradgrad_nn_ELU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.013s) 2022-11-23T02:09:23.6215885Z test_gradgrad_nn_Embedding_cpu_float64 (__main__.TestModuleCPU) ... ok (0.009s) 2022-11-23T02:09:23.6216181Z test_gradgrad_nn_GRUCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.110s) 2022-11-23T02:09:23.6216486Z test_gradgrad_nn_GRU_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (6.333s) 2022-11-23T02:09:23.6216801Z test_gradgrad_nn_GRU_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (4.989s) 2022-11-23T02:09:23.6217108Z test_gradgrad_nn_GaussianNLLLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.036s) 2022-11-23T02:09:23.6217420Z test_gradgrad_nn_L1Loss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.027s) 2022-11-23T02:09:23.6217720Z test_gradgrad_nn_LSTMCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.117s) 2022-11-23T02:09:23.6218028Z test_gradgrad_nn_LSTM_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (14.681s) 2022-11-23T02:09:23.6218336Z test_gradgrad_nn_LSTM_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (13.315s) 2022-11-23T02:09:23.6219200Z test_gradgrad_nn_LazyConv1d_cpu_float64 (__main__.TestModuleCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T02:09:23.6219761Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T02:09:23.6220337Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T02:09:23.6220811Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T02:09:23.6221382Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T02:09:23.6221871Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T02:09:23.6222501Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T02:09:23.6222979Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T02:09:23.6223217Z ok (0.056s) 2022-11-23T02:09:23.6223835Z test_gradgrad_nn_LazyConv2d_cpu_float64 (__main__.TestModuleCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T02:09:23.6224386Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T02:09:23.6224987Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T02:09:23.6225471Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T02:09:23.6226042Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T02:09:23.6226525Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T02:09:23.6227080Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T02:09:23.6227568Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T02:09:23.6227805Z ok (0.059s) 2022-11-23T02:09:23.6228426Z test_gradgrad_nn_LazyConv3d_cpu_float64 (__main__.TestModuleCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T02:09:23.6228953Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T02:09:23.6229607Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T02:09:23.6230099Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T02:09:23.6230664Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T02:09:23.6231132Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T02:09:23.6231703Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T02:09:23.6232185Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T02:09:23.6232421Z ok (0.071s) 2022-11-23T02:09:23.6233037Z test_gradgrad_nn_LazyConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T02:09:23.6233602Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T02:09:23.6234171Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T02:09:23.6234652Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T02:09:23.6234873Z ok (0.027s) 2022-11-23T02:09:23.6235537Z test_gradgrad_nn_LazyConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T02:09:23.6236099Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T02:09:23.6236664Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T02:09:23.6237131Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T02:09:23.6237357Z ok (0.030s) 2022-11-23T02:09:23.6237988Z test_gradgrad_nn_LazyConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T02:09:23.6238576Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T02:09:23.6239133Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T02:09:23.6239611Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T02:09:23.6239841Z ok (0.036s) 2022-11-23T02:09:23.6240067Z test_gradgrad_nn_Linear_cpu_float64 (__main__.TestModuleCPU) ... ok (0.026s) 2022-11-23T02:09:23.6240401Z test_gradgrad_nn_MultiheadAttention_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (5.810s) 2022-11-23T02:09:23.6240763Z test_gradgrad_nn_MultiheadAttention_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (5.834s) 2022-11-23T02:09:23.6241094Z test_gradgrad_nn_NLLLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.021s) 2022-11-23T02:09:23.6241385Z test_gradgrad_nn_RNNCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.088s) 2022-11-23T02:09:23.6241689Z test_gradgrad_nn_RNN_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (5.248s) 2022-11-23T02:09:23.6242004Z test_gradgrad_nn_RNN_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (5.235s) 2022-11-23T02:09:23.6242308Z test_gradgrad_nn_ReLU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.009s) 2022-11-23T02:09:23.6242597Z test_gradgrad_nn_Sigmoid_cpu_float64 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6242934Z test_gradgrad_nn_TransformerDecoderLayer_cpu_float64 (__main__.TestModuleCPU) ... ok (10.390s) 2022-11-23T02:09:23.6243302Z test_gradgrad_nn_TransformerEncoderLayer_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (4.495s) 2022-11-23T02:09:23.6243671Z test_gradgrad_nn_TransformerEncoderLayer_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (4.030s) 2022-11-23T02:09:23.6244014Z test_gradgrad_nn_Transformer_cpu_float64 (__main__.TestModuleCPU) ... ok (27.807s) 2022-11-23T02:09:23.6244364Z test_if_train_and_eval_modes_differ_ao_nn_quantized_MaxPool2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6244738Z test_if_train_and_eval_modes_differ_ao_nn_quantized_MaxPool2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6245102Z test_if_train_and_eval_modes_differ_nn_AdaptiveAvgPool2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6245477Z test_if_train_and_eval_modes_differ_nn_AdaptiveAvgPool2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6245836Z test_if_train_and_eval_modes_differ_nn_AvgPool1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6246188Z test_if_train_and_eval_modes_differ_nn_AvgPool1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6246526Z test_if_train_and_eval_modes_differ_nn_BatchNorm2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6246875Z test_if_train_and_eval_modes_differ_nn_BatchNorm2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6247251Z test_if_train_and_eval_modes_differ_nn_BatchNorm3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6247592Z test_if_train_and_eval_modes_differ_nn_BatchNorm3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6247936Z test_if_train_and_eval_modes_differ_nn_Bilinear_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6248278Z test_if_train_and_eval_modes_differ_nn_Bilinear_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6248620Z test_if_train_and_eval_modes_differ_nn_Conv1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6248944Z test_if_train_and_eval_modes_differ_nn_Conv1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6249314Z test_if_train_and_eval_modes_differ_nn_Conv2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6249645Z test_if_train_and_eval_modes_differ_nn_Conv2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6249975Z test_if_train_and_eval_modes_differ_nn_Conv3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6250288Z test_if_train_and_eval_modes_differ_nn_Conv3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6251371Z test_if_train_and_eval_modes_differ_nn_ConvTranspose1d_cpu_complex128 (__main__.TestModuleCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py:1109: UserWarning: Complex modules are a new feature under active development whose design may change, and some modules might not work as expected when using complex tensors as parameters or buffers. Please file an issue at https://github.com/pytorch/pytorch/issues/new?template=bug-report.yml if a complex module does not work as expected. 2022-11-23T02:09:23.6252112Z "Complex modules are a new feature under active development whose design may change, " 2022-11-23T02:09:23.6252359Z ok (0.003s) 2022-11-23T02:09:23.6252641Z test_if_train_and_eval_modes_differ_nn_ConvTranspose1d_cpu_complex32 (__main__.TestModuleCPU) ... expected failure (0.011s) 2022-11-23T02:09:23.6253028Z test_if_train_and_eval_modes_differ_nn_ConvTranspose1d_cpu_complex64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6253395Z test_if_train_and_eval_modes_differ_nn_ConvTranspose1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6253757Z test_if_train_and_eval_modes_differ_nn_ConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6254108Z test_if_train_and_eval_modes_differ_nn_ConvTranspose2d_cpu_complex128 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6254584Z test_if_train_and_eval_modes_differ_nn_ConvTranspose2d_cpu_complex32 (__main__.TestModuleCPU) ... expected failure (0.011s) 2022-11-23T02:09:23.6254967Z test_if_train_and_eval_modes_differ_nn_ConvTranspose2d_cpu_complex64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6255333Z test_if_train_and_eval_modes_differ_nn_ConvTranspose2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6255678Z test_if_train_and_eval_modes_differ_nn_ConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6256044Z test_if_train_and_eval_modes_differ_nn_ConvTranspose3d_cpu_complex128 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6256429Z test_if_train_and_eval_modes_differ_nn_ConvTranspose3d_cpu_complex32 (__main__.TestModuleCPU) ... expected failure (0.011s) 2022-11-23T02:09:23.6256812Z test_if_train_and_eval_modes_differ_nn_ConvTranspose3d_cpu_complex64 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6257165Z test_if_train_and_eval_modes_differ_nn_ConvTranspose3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6257525Z test_if_train_and_eval_modes_differ_nn_ConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6257890Z test_if_train_and_eval_modes_differ_nn_CrossEntropyLoss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6258286Z test_if_train_and_eval_modes_differ_nn_CrossEntropyLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6258624Z test_if_train_and_eval_modes_differ_nn_ELU_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6259104Z test_if_train_and_eval_modes_differ_nn_ELU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6259448Z test_if_train_and_eval_modes_differ_nn_Embedding_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6259781Z test_if_train_and_eval_modes_differ_nn_Embedding_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6260186Z test_if_train_and_eval_modes_differ_nn_GRUCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6260524Z test_if_train_and_eval_modes_differ_nn_GRUCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6260854Z test_if_train_and_eval_modes_differ_nn_GRU_cpu_float32 (__main__.TestModuleCPU) ... ok (0.010s) 2022-11-23T02:09:23.6261171Z test_if_train_and_eval_modes_differ_nn_GRU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.011s) 2022-11-23T02:09:23.6261519Z test_if_train_and_eval_modes_differ_nn_GaussianNLLLoss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6261881Z test_if_train_and_eval_modes_differ_nn_GaussianNLLLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6262237Z test_if_train_and_eval_modes_differ_nn_Hardswish_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6262572Z test_if_train_and_eval_modes_differ_nn_Hardswish_cpu_float64 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6262919Z test_if_train_and_eval_modes_differ_nn_L1Loss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6263253Z test_if_train_and_eval_modes_differ_nn_L1Loss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6263584Z test_if_train_and_eval_modes_differ_nn_LSTMCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6263928Z test_if_train_and_eval_modes_differ_nn_LSTMCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6264264Z test_if_train_and_eval_modes_differ_nn_LSTM_cpu_float32 (__main__.TestModuleCPU) ... ok (0.021s) 2022-11-23T02:09:23.6264595Z test_if_train_and_eval_modes_differ_nn_LSTM_cpu_float64 (__main__.TestModuleCPU) ... ok (0.023s) 2022-11-23T02:09:23.6265331Z test_if_train_and_eval_modes_differ_nn_LazyConv1d_cpu_float32 (__main__.TestModuleCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment. 2022-11-23T02:09:23.6265904Z warnings.warn('Lazy modules are a new feature under heavy development ' 2022-11-23T02:09:23.6266141Z ok (0.004s) 2022-11-23T02:09:23.6266409Z test_if_train_and_eval_modes_differ_nn_LazyConv1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6266749Z test_if_train_and_eval_modes_differ_nn_LazyConv2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6267096Z test_if_train_and_eval_modes_differ_nn_LazyConv2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6267441Z test_if_train_and_eval_modes_differ_nn_LazyConv3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6267786Z test_if_train_and_eval_modes_differ_nn_LazyConv3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6268138Z test_if_train_and_eval_modes_differ_nn_LazyConvTranspose1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6268523Z test_if_train_and_eval_modes_differ_nn_LazyConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6268898Z test_if_train_and_eval_modes_differ_nn_LazyConvTranspose2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6269374Z test_if_train_and_eval_modes_differ_nn_LazyConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6269759Z test_if_train_and_eval_modes_differ_nn_LazyConvTranspose3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6270141Z test_if_train_and_eval_modes_differ_nn_LazyConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6270498Z test_if_train_and_eval_modes_differ_nn_Linear_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6270820Z test_if_train_and_eval_modes_differ_nn_Linear_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6271210Z test_if_train_and_eval_modes_differ_nn_MultiheadAttention_cpu_float32 (__main__.TestModuleCPU) ... ok (0.021s) 2022-11-23T02:09:23.6271583Z test_if_train_and_eval_modes_differ_nn_MultiheadAttention_cpu_float64 (__main__.TestModuleCPU) ... ok (0.022s) 2022-11-23T02:09:23.6271944Z test_if_train_and_eval_modes_differ_nn_NLLLoss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6272272Z test_if_train_and_eval_modes_differ_nn_NLLLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6272607Z test_if_train_and_eval_modes_differ_nn_RNNCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6272941Z test_if_train_and_eval_modes_differ_nn_RNNCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6273266Z test_if_train_and_eval_modes_differ_nn_RNN_cpu_float32 (__main__.TestModuleCPU) ... ok (0.018s) 2022-11-23T02:09:23.6273586Z test_if_train_and_eval_modes_differ_nn_RNN_cpu_float64 (__main__.TestModuleCPU) ... ok (0.020s) 2022-11-23T02:09:23.6273926Z test_if_train_and_eval_modes_differ_nn_ReLU_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6274258Z test_if_train_and_eval_modes_differ_nn_ReLU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6274586Z test_if_train_and_eval_modes_differ_nn_Sigmoid_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6274922Z test_if_train_and_eval_modes_differ_nn_Sigmoid_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6275287Z test_if_train_and_eval_modes_differ_nn_TransformerDecoderLayer_cpu_float32 (__main__.TestModuleCPU) ... ok (0.044s) 2022-11-23T02:09:23.6275675Z test_if_train_and_eval_modes_differ_nn_TransformerDecoderLayer_cpu_float64 (__main__.TestModuleCPU) ... ok (0.045s) 2022-11-23T02:09:23.6276046Z test_if_train_and_eval_modes_differ_nn_TransformerEncoderLayer_cpu_float32 (__main__.TestModuleCPU) ... ok (0.027s) 2022-11-23T02:09:23.6276431Z test_if_train_and_eval_modes_differ_nn_TransformerEncoderLayer_cpu_float64 (__main__.TestModuleCPU) ... ok (0.028s) 2022-11-23T02:09:23.6276802Z test_if_train_and_eval_modes_differ_nn_Transformer_cpu_float32 (__main__.TestModuleCPU) ... ok (0.098s) 2022-11-23T02:09:23.6277157Z test_if_train_and_eval_modes_differ_nn_Transformer_cpu_float64 (__main__.TestModuleCPU) ... ok (0.101s) 2022-11-23T02:09:23.6277492Z test_memory_format_ao_nn_quantized_MaxPool2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.008s) 2022-11-23T02:09:23.6277832Z test_memory_format_ao_nn_quantized_MaxPool2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.008s) 2022-11-23T02:09:23.6278175Z test_memory_format_nn_AdaptiveAvgPool2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6278516Z test_memory_format_nn_AdaptiveAvgPool2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6278845Z test_memory_format_nn_AvgPool1d_cpu_float32 (__main__.TestModuleCPU) ... skip: Skipped! (0.003s) 2022-11-23T02:09:23.6279188Z test_memory_format_nn_AvgPool1d_cpu_float64 (__main__.TestModuleCPU) ... skip: Skipped! (0.003s) 2022-11-23T02:09:23.6279528Z test_memory_format_nn_BatchNorm2d_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6279884Z test_memory_format_nn_BatchNorm2d_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6280227Z test_memory_format_nn_BatchNorm2d_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.007s) 2022-11-23T02:09:23.6280568Z test_memory_format_nn_BatchNorm2d_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.007s) 2022-11-23T02:09:23.6280911Z test_memory_format_nn_BatchNorm3d_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6281236Z test_memory_format_nn_BatchNorm3d_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6281579Z test_memory_format_nn_BatchNorm3d_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.007s) 2022-11-23T02:09:23.6281954Z test_memory_format_nn_BatchNorm3d_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6282297Z test_memory_format_nn_Bilinear_cpu_float32 (__main__.TestModuleCPU) ... skip: Skipped! (0.003s) 2022-11-23T02:09:23.6282627Z test_memory_format_nn_Bilinear_cpu_float64 (__main__.TestModuleCPU) ... skip: Skipped! (0.003s) 2022-11-23T02:09:23.6282948Z test_memory_format_nn_Conv1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.008s) 2022-11-23T02:09:23.6283256Z test_memory_format_nn_Conv1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.008s) 2022-11-23T02:09:23.6283549Z test_memory_format_nn_Conv2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.012s) 2022-11-23T02:09:23.6283855Z test_memory_format_nn_Conv2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.012s) 2022-11-23T02:09:23.6284182Z test_memory_format_nn_Conv3d_cpu_float32 (__main__.TestModuleCPU) ... expected failure (0.005s) 2022-11-23T02:09:23.6284524Z test_memory_format_nn_Conv3d_cpu_float64 (__main__.TestModuleCPU) ... expected failure (0.005s) 2022-11-23T02:09:23.6284859Z test_memory_format_nn_ConvTranspose1d_cpu_complex128 (__main__.TestModuleCPU) ... ok (0.007s) 2022-11-23T02:09:23.6285220Z test_memory_format_nn_ConvTranspose1d_cpu_complex32 (__main__.TestModuleCPU) ... expected failure (0.013s) 2022-11-23T02:09:23.6285580Z test_memory_format_nn_ConvTranspose1d_cpu_complex64 (__main__.TestModuleCPU) ... ok (0.007s) 2022-11-23T02:09:23.6285911Z test_memory_format_nn_ConvTranspose1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6286244Z test_memory_format_nn_ConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6286598Z test_memory_format_nn_ConvTranspose2d_cpu_complex128 (__main__.TestModuleCPU) ... expected failure (0.006s) 2022-11-23T02:09:23.6286974Z test_memory_format_nn_ConvTranspose2d_cpu_complex32 (__main__.TestModuleCPU) ... expected failure (0.013s) 2022-11-23T02:09:23.6287332Z test_memory_format_nn_ConvTranspose2d_cpu_complex64 (__main__.TestModuleCPU) ... expected failure (0.006s) 2022-11-23T02:09:23.6287698Z test_memory_format_nn_ConvTranspose2d_cpu_float32 (__main__.TestModuleCPU) ... expected failure (0.005s) 2022-11-23T02:09:23.6288060Z test_memory_format_nn_ConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... expected failure (0.005s) 2022-11-23T02:09:23.6288427Z test_memory_format_nn_ConvTranspose3d_cpu_complex128 (__main__.TestModuleCPU) ... expected failure (0.007s) 2022-11-23T02:09:23.6288785Z test_memory_format_nn_ConvTranspose3d_cpu_complex32 (__main__.TestModuleCPU) ... expected failure (0.013s) 2022-11-23T02:09:23.6289150Z test_memory_format_nn_ConvTranspose3d_cpu_complex64 (__main__.TestModuleCPU) ... expected failure (0.007s) 2022-11-23T02:09:23.6289511Z test_memory_format_nn_ConvTranspose3d_cpu_float32 (__main__.TestModuleCPU) ... expected failure (0.005s) 2022-11-23T02:09:23.6289872Z test_memory_format_nn_ConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... expected failure (0.005s) 2022-11-23T02:09:23.6290209Z test_memory_format_nn_CrossEntropyLoss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.011s) 2022-11-23T02:09:23.6290544Z test_memory_format_nn_CrossEntropyLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.011s) 2022-11-23T02:09:23.6290889Z test_memory_format_nn_ELU_cpu_float32 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6291179Z test_memory_format_nn_ELU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6291501Z test_memory_format_nn_Embedding_cpu_float32 (__main__.TestModuleCPU) ... skip: Skipped! (0.003s) 2022-11-23T02:09:23.6291849Z test_memory_format_nn_Embedding_cpu_float64 (__main__.TestModuleCPU) ... skip: Skipped! (0.003s) 2022-11-23T02:09:23.6292171Z test_memory_format_nn_GRUCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6292468Z test_memory_format_nn_GRUCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6292823Z test_memory_format_nn_GRU_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.069s) 2022-11-23T02:09:23.6293139Z test_memory_format_nn_GRU_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.070s) 2022-11-23T02:09:23.6293447Z test_memory_format_nn_GRU_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.069s) 2022-11-23T02:09:23.6293769Z test_memory_format_nn_GRU_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.070s) 2022-11-23T02:09:23.6294109Z test_memory_format_nn_GaussianNLLLoss_cpu_float32 (__main__.TestModuleCPU) ... skip: Skipped! (0.003s) 2022-11-23T02:09:23.6294470Z test_memory_format_nn_GaussianNLLLoss_cpu_float64 (__main__.TestModuleCPU) ... skip: Skipped! (0.003s) 2022-11-23T02:09:23.6294793Z test_memory_format_nn_Hardswish_cpu_float32 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6295109Z test_memory_format_nn_Hardswish_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6295439Z test_memory_format_nn_L1Loss_cpu_float32 (__main__.TestModuleCPU) ... skip: Skipped! (0.003s) 2022-11-23T02:09:23.6295773Z test_memory_format_nn_L1Loss_cpu_float64 (__main__.TestModuleCPU) ... skip: Skipped! (0.003s) 2022-11-23T02:09:23.6296080Z test_memory_format_nn_LSTMCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.007s) 2022-11-23T02:09:23.6296392Z test_memory_format_nn_LSTMCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.007s) 2022-11-23T02:09:23.6296704Z test_memory_format_nn_LSTM_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.144s) 2022-11-23T02:09:23.6297010Z test_memory_format_nn_LSTM_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.144s) 2022-11-23T02:09:23.6297328Z test_memory_format_nn_LSTM_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.144s) 2022-11-23T02:09:23.6297650Z test_memory_format_nn_LSTM_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.144s) 2022-11-23T02:09:23.6297970Z test_memory_format_nn_LazyConv1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.010s) 2022-11-23T02:09:23.6298271Z test_memory_format_nn_LazyConv1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.009s) 2022-11-23T02:09:23.6298586Z test_memory_format_nn_LazyConv2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.013s) 2022-11-23T02:09:23.6299048Z test_memory_format_nn_LazyConv2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.012s) 2022-11-23T02:09:23.6299372Z test_memory_format_nn_LazyConv3d_cpu_float32 (__main__.TestModuleCPU) ... expected failure (0.006s) 2022-11-23T02:09:23.6299725Z test_memory_format_nn_LazyConv3d_cpu_float64 (__main__.TestModuleCPU) ... expected failure (0.006s) 2022-11-23T02:09:23.6300075Z test_memory_format_nn_LazyConvTranspose1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6300424Z test_memory_format_nn_LazyConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6300773Z test_memory_format_nn_LazyConvTranspose2d_cpu_float32 (__main__.TestModuleCPU) ... expected failure (0.005s) 2022-11-23T02:09:23.6301152Z test_memory_format_nn_LazyConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... expected failure (0.005s) 2022-11-23T02:09:23.6301529Z test_memory_format_nn_LazyConvTranspose3d_cpu_float32 (__main__.TestModuleCPU) ... expected failure (0.006s) 2022-11-23T02:09:23.6301956Z test_memory_format_nn_LazyConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... expected failure (0.006s) 2022-11-23T02:09:23.6302302Z test_memory_format_nn_Linear_cpu_float32 (__main__.TestModuleCPU) ... skip: Skipped! (0.003s) 2022-11-23T02:09:23.6302640Z test_memory_format_nn_Linear_cpu_float64 (__main__.TestModuleCPU) ... skip: Skipped! (0.003s) 2022-11-23T02:09:23.6303006Z test_memory_format_nn_MultiheadAttention_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Skipped! (0.003s) 2022-11-23T02:09:23.6303390Z test_memory_format_nn_MultiheadAttention_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Skipped! (0.003s) 2022-11-23T02:09:23.6303761Z test_memory_format_nn_MultiheadAttention_train_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Skipped! (0.003s) 2022-11-23T02:09:23.6304184Z test_memory_format_nn_MultiheadAttention_train_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Skipped! (0.003s) 2022-11-23T02:09:23.6304542Z test_memory_format_nn_NLLLoss_cpu_float32 (__main__.TestModuleCPU) ... skip: Skipped! (0.003s) 2022-11-23T02:09:23.6304867Z test_memory_format_nn_NLLLoss_cpu_float64 (__main__.TestModuleCPU) ... skip: Skipped! (0.003s) 2022-11-23T02:09:23.6305188Z test_memory_format_nn_RNNCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.007s) 2022-11-23T02:09:23.6305498Z test_memory_format_nn_RNNCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.007s) 2022-11-23T02:09:23.6305806Z test_memory_format_nn_RNN_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.093s) 2022-11-23T02:09:23.6306110Z test_memory_format_nn_RNN_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.092s) 2022-11-23T02:09:23.6306429Z test_memory_format_nn_RNN_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.093s) 2022-11-23T02:09:23.6306749Z test_memory_format_nn_RNN_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.092s) 2022-11-23T02:09:23.6307058Z test_memory_format_nn_ReLU_cpu_float32 (__main__.TestModuleCPU) ... ok (0.007s) 2022-11-23T02:09:23.6307345Z test_memory_format_nn_ReLU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6307655Z test_memory_format_nn_Sigmoid_cpu_float32 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6307963Z test_memory_format_nn_Sigmoid_cpu_float64 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6308306Z test_memory_format_nn_TransformerDecoderLayer_cpu_float32 (__main__.TestModuleCPU) ... skip: Skipped! (0.003s) 2022-11-23T02:09:23.6308698Z test_memory_format_nn_TransformerDecoderLayer_cpu_float64 (__main__.TestModuleCPU) ... skip: Skipped! (0.003s) 2022-11-23T02:09:23.6309093Z test_memory_format_nn_TransformerEncoderLayer_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Skipped! (0.003s) 2022-11-23T02:09:23.6309594Z test_memory_format_nn_TransformerEncoderLayer_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Skipped! (0.003s) 2022-11-23T02:09:23.6309986Z test_memory_format_nn_TransformerEncoderLayer_train_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Skipped! (0.003s) 2022-11-23T02:09:23.6310400Z test_memory_format_nn_TransformerEncoderLayer_train_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Skipped! (0.003s) 2022-11-23T02:09:23.6310772Z test_memory_format_nn_Transformer_cpu_float32 (__main__.TestModuleCPU) ... skip: Skipped! (0.003s) 2022-11-23T02:09:23.6311123Z test_memory_format_nn_Transformer_cpu_float64 (__main__.TestModuleCPU) ... skip: Skipped! (0.003s) 2022-11-23T02:09:23.6311494Z test_multiple_device_transfer_ao_nn_quantized_MaxPool2d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6311903Z test_multiple_device_transfer_ao_nn_quantized_MaxPool2d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6312314Z test_multiple_device_transfer_nn_AdaptiveAvgPool2d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6312719Z test_multiple_device_transfer_nn_AdaptiveAvgPool2d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6313135Z test_multiple_device_transfer_nn_AvgPool1d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6313512Z test_multiple_device_transfer_nn_AvgPool1d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6313905Z test_multiple_device_transfer_nn_BatchNorm2d_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6314303Z test_multiple_device_transfer_nn_BatchNorm2d_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6314695Z test_multiple_device_transfer_nn_BatchNorm2d_train_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6315127Z test_multiple_device_transfer_nn_BatchNorm2d_train_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6315527Z test_multiple_device_transfer_nn_BatchNorm3d_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6315926Z test_multiple_device_transfer_nn_BatchNorm3d_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6316314Z test_multiple_device_transfer_nn_BatchNorm3d_train_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6316717Z test_multiple_device_transfer_nn_BatchNorm3d_train_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6317102Z test_multiple_device_transfer_nn_Bilinear_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6317472Z test_multiple_device_transfer_nn_Bilinear_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6317830Z test_multiple_device_transfer_nn_Conv1d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6318202Z test_multiple_device_transfer_nn_Conv1d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6318572Z test_multiple_device_transfer_nn_Conv2d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6318919Z test_multiple_device_transfer_nn_Conv2d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6319276Z test_multiple_device_transfer_nn_Conv3d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6319645Z test_multiple_device_transfer_nn_Conv3d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6320035Z test_multiple_device_transfer_nn_ConvTranspose1d_cpu_complex128 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6320425Z test_multiple_device_transfer_nn_ConvTranspose1d_cpu_complex32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6320826Z test_multiple_device_transfer_nn_ConvTranspose1d_cpu_complex64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6321222Z test_multiple_device_transfer_nn_ConvTranspose1d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6321617Z test_multiple_device_transfer_nn_ConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6322001Z test_multiple_device_transfer_nn_ConvTranspose2d_cpu_complex128 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6322400Z test_multiple_device_transfer_nn_ConvTranspose2d_cpu_complex32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6322798Z test_multiple_device_transfer_nn_ConvTranspose2d_cpu_complex64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6323193Z test_multiple_device_transfer_nn_ConvTranspose2d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6323602Z test_multiple_device_transfer_nn_ConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6323993Z test_multiple_device_transfer_nn_ConvTranspose3d_cpu_complex128 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6324390Z test_multiple_device_transfer_nn_ConvTranspose3d_cpu_complex32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6324787Z test_multiple_device_transfer_nn_ConvTranspose3d_cpu_complex64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6325202Z test_multiple_device_transfer_nn_ConvTranspose3d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6325593Z test_multiple_device_transfer_nn_ConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6325987Z test_multiple_device_transfer_nn_CrossEntropyLoss_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6326383Z test_multiple_device_transfer_nn_CrossEntropyLoss_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6326751Z test_multiple_device_transfer_nn_ELU_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6327117Z test_multiple_device_transfer_nn_ELU_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6327492Z test_multiple_device_transfer_nn_Embedding_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6327873Z test_multiple_device_transfer_nn_Embedding_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6328235Z test_multiple_device_transfer_nn_GRUCell_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6328604Z test_multiple_device_transfer_nn_GRUCell_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6328980Z test_multiple_device_transfer_nn_GRU_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6329361Z test_multiple_device_transfer_nn_GRU_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6329730Z test_multiple_device_transfer_nn_GRU_train_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6330112Z test_multiple_device_transfer_nn_GRU_train_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6330499Z test_multiple_device_transfer_nn_GaussianNLLLoss_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6330899Z test_multiple_device_transfer_nn_GaussianNLLLoss_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6331272Z test_multiple_device_transfer_nn_Hardswish_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6331646Z test_multiple_device_transfer_nn_Hardswish_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6332017Z test_multiple_device_transfer_nn_L1Loss_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6332387Z test_multiple_device_transfer_nn_L1Loss_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6332750Z test_multiple_device_transfer_nn_LSTMCell_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6333129Z test_multiple_device_transfer_nn_LSTMCell_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6333512Z test_multiple_device_transfer_nn_LSTM_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6333932Z test_multiple_device_transfer_nn_LSTM_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6334305Z test_multiple_device_transfer_nn_LSTM_train_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6334693Z test_multiple_device_transfer_nn_LSTM_train_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6335080Z test_multiple_device_transfer_nn_LazyConv1d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6335454Z test_multiple_device_transfer_nn_LazyConv1d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6335862Z test_multiple_device_transfer_nn_LazyConv2d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6336238Z test_multiple_device_transfer_nn_LazyConv2d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6336620Z test_multiple_device_transfer_nn_LazyConv3d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6336984Z test_multiple_device_transfer_nn_LazyConv3d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6337384Z test_multiple_device_transfer_nn_LazyConvTranspose1d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6337802Z test_multiple_device_transfer_nn_LazyConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6338216Z test_multiple_device_transfer_nn_LazyConvTranspose2d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6338611Z test_multiple_device_transfer_nn_LazyConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6339143Z test_multiple_device_transfer_nn_LazyConvTranspose3d_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6339552Z test_multiple_device_transfer_nn_LazyConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6339945Z test_multiple_device_transfer_nn_Linear_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6340304Z test_multiple_device_transfer_nn_Linear_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6340708Z test_multiple_device_transfer_nn_MultiheadAttention_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6341136Z test_multiple_device_transfer_nn_MultiheadAttention_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6341561Z test_multiple_device_transfer_nn_MultiheadAttention_train_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6341978Z test_multiple_device_transfer_nn_MultiheadAttention_train_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6342379Z test_multiple_device_transfer_nn_NLLLoss_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6342750Z test_multiple_device_transfer_nn_NLLLoss_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6343126Z test_multiple_device_transfer_nn_RNNCell_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6343484Z test_multiple_device_transfer_nn_RNNCell_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6343865Z test_multiple_device_transfer_nn_RNN_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6344298Z test_multiple_device_transfer_nn_RNN_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6344683Z test_multiple_device_transfer_nn_RNN_train_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6345055Z test_multiple_device_transfer_nn_RNN_train_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6345430Z test_multiple_device_transfer_nn_ReLU_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6345793Z test_multiple_device_transfer_nn_ReLU_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6346208Z test_multiple_device_transfer_nn_Sigmoid_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6346570Z test_multiple_device_transfer_nn_Sigmoid_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6346974Z test_multiple_device_transfer_nn_TransformerDecoderLayer_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6347404Z test_multiple_device_transfer_nn_TransformerDecoderLayer_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6347839Z test_multiple_device_transfer_nn_TransformerEncoderLayer_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6348270Z test_multiple_device_transfer_nn_TransformerEncoderLayer_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6348710Z test_multiple_device_transfer_nn_TransformerEncoderLayer_train_mode_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6349157Z test_multiple_device_transfer_nn_TransformerEncoderLayer_train_mode_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6349670Z test_multiple_device_transfer_nn_Transformer_cpu_float32 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6350044Z test_multiple_device_transfer_nn_Transformer_cpu_float64 (__main__.TestModuleCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:09:23.6350431Z test_non_contiguous_tensors_ao_nn_quantized_MaxPool2d_cpu_float32 (__main__.TestModuleCPU) ... skip: Skipped! (0.003s) 2022-11-23T02:09:23.6350820Z test_non_contiguous_tensors_ao_nn_quantized_MaxPool2d_cpu_float64 (__main__.TestModuleCPU) ... skip: Skipped! (0.003s) 2022-11-23T02:09:23.6351198Z test_non_contiguous_tensors_nn_AdaptiveAvgPool2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.008s) 2022-11-23T02:09:23.6351551Z test_non_contiguous_tensors_nn_AdaptiveAvgPool2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.007s) 2022-11-23T02:09:23.6351905Z test_non_contiguous_tensors_nn_AvgPool1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.007s) 2022-11-23T02:09:23.6352237Z test_non_contiguous_tensors_nn_AvgPool1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.007s) 2022-11-23T02:09:23.6352585Z test_non_contiguous_tensors_nn_BatchNorm2d_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.009s) 2022-11-23T02:09:23.6352927Z test_non_contiguous_tensors_nn_BatchNorm2d_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.009s) 2022-11-23T02:09:23.6353291Z test_non_contiguous_tensors_nn_BatchNorm2d_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.009s) 2022-11-23T02:09:23.6353649Z test_non_contiguous_tensors_nn_BatchNorm2d_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.009s) 2022-11-23T02:09:23.6353991Z test_non_contiguous_tensors_nn_BatchNorm3d_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.009s) 2022-11-23T02:09:23.6354344Z test_non_contiguous_tensors_nn_BatchNorm3d_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.009s) 2022-11-23T02:09:23.6354706Z test_non_contiguous_tensors_nn_BatchNorm3d_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.009s) 2022-11-23T02:09:23.6355098Z test_non_contiguous_tensors_nn_BatchNorm3d_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.009s) 2022-11-23T02:09:23.6355427Z test_non_contiguous_tensors_nn_Bilinear_cpu_float32 (__main__.TestModuleCPU) ... ok (0.025s) 2022-11-23T02:09:23.6355757Z test_non_contiguous_tensors_nn_Bilinear_cpu_float64 (__main__.TestModuleCPU) ... ok (0.024s) 2022-11-23T02:09:23.6356083Z test_non_contiguous_tensors_nn_Conv1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.029s) 2022-11-23T02:09:23.6356412Z test_non_contiguous_tensors_nn_Conv1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.026s) 2022-11-23T02:09:23.6356720Z test_non_contiguous_tensors_nn_Conv2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.031s) 2022-11-23T02:09:23.6357079Z test_non_contiguous_tensors_nn_Conv2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.029s) 2022-11-23T02:09:23.6357398Z test_non_contiguous_tensors_nn_Conv3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.038s) 2022-11-23T02:09:23.6357701Z test_non_contiguous_tensors_nn_Conv3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.032s) 2022-11-23T02:09:23.6358037Z test_non_contiguous_tensors_nn_ConvTranspose1d_cpu_complex128 (__main__.TestModuleCPU) ... ok (0.023s) 2022-11-23T02:09:23.6358411Z test_non_contiguous_tensors_nn_ConvTranspose1d_cpu_complex32 (__main__.TestModuleCPU) ... expected failure (0.013s) 2022-11-23T02:09:23.6358786Z test_non_contiguous_tensors_nn_ConvTranspose1d_cpu_complex64 (__main__.TestModuleCPU) ... ok (0.025s) 2022-11-23T02:09:23.6359124Z test_non_contiguous_tensors_nn_ConvTranspose1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.016s) 2022-11-23T02:09:23.6359474Z test_non_contiguous_tensors_nn_ConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.015s) 2022-11-23T02:09:23.6359827Z test_non_contiguous_tensors_nn_ConvTranspose2d_cpu_complex128 (__main__.TestModuleCPU) ... ok (0.025s) 2022-11-23T02:09:23.6360198Z test_non_contiguous_tensors_nn_ConvTranspose2d_cpu_complex32 (__main__.TestModuleCPU) ... expected failure (0.013s) 2022-11-23T02:09:23.6360555Z test_non_contiguous_tensors_nn_ConvTranspose2d_cpu_complex64 (__main__.TestModuleCPU) ... ok (0.025s) 2022-11-23T02:09:23.6360905Z test_non_contiguous_tensors_nn_ConvTranspose2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.017s) 2022-11-23T02:09:23.6361255Z test_non_contiguous_tensors_nn_ConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.017s) 2022-11-23T02:09:23.6361598Z test_non_contiguous_tensors_nn_ConvTranspose3d_cpu_complex128 (__main__.TestModuleCPU) ... ok (0.028s) 2022-11-23T02:09:23.6361970Z test_non_contiguous_tensors_nn_ConvTranspose3d_cpu_complex32 (__main__.TestModuleCPU) ... expected failure (0.014s) 2022-11-23T02:09:23.6362337Z test_non_contiguous_tensors_nn_ConvTranspose3d_cpu_complex64 (__main__.TestModuleCPU) ... ok (0.027s) 2022-11-23T02:09:23.6362689Z test_non_contiguous_tensors_nn_ConvTranspose3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.017s) 2022-11-23T02:09:23.6363028Z test_non_contiguous_tensors_nn_ConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.017s) 2022-11-23T02:09:23.6363382Z test_non_contiguous_tensors_nn_CrossEntropyLoss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.046s) 2022-11-23T02:09:23.6363737Z test_non_contiguous_tensors_nn_CrossEntropyLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.046s) 2022-11-23T02:09:23.6364076Z test_non_contiguous_tensors_nn_ELU_cpu_float32 (__main__.TestModuleCPU) ... ok (0.013s) 2022-11-23T02:09:23.6364384Z test_non_contiguous_tensors_nn_ELU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.012s) 2022-11-23T02:09:23.6364706Z test_non_contiguous_tensors_nn_Embedding_cpu_float32 (__main__.TestModuleCPU) ... ok (0.013s) 2022-11-23T02:09:23.6365039Z test_non_contiguous_tensors_nn_Embedding_cpu_float64 (__main__.TestModuleCPU) ... ok (0.013s) 2022-11-23T02:09:23.6365358Z test_non_contiguous_tensors_nn_GRUCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.021s) 2022-11-23T02:09:23.6365685Z test_non_contiguous_tensors_nn_GRUCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.021s) 2022-11-23T02:09:23.6366049Z test_non_contiguous_tensors_nn_GRU_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.440s) 2022-11-23T02:09:23.6366385Z test_non_contiguous_tensors_nn_GRU_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.433s) 2022-11-23T02:09:23.6366713Z test_non_contiguous_tensors_nn_GRU_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.439s) 2022-11-23T02:09:23.6367050Z test_non_contiguous_tensors_nn_GRU_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.433s) 2022-11-23T02:09:23.6367398Z test_non_contiguous_tensors_nn_GaussianNLLLoss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.025s) 2022-11-23T02:09:23.6367749Z test_non_contiguous_tensors_nn_GaussianNLLLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.023s) 2022-11-23T02:09:23.6368128Z test_non_contiguous_tensors_nn_Hardswish_cpu_float32 (__main__.TestModuleCPU) ... ok (0.009s) 2022-11-23T02:09:23.6368458Z test_non_contiguous_tensors_nn_Hardswish_cpu_float64 (__main__.TestModuleCPU) ... ok (0.009s) 2022-11-23T02:09:23.6368785Z test_non_contiguous_tensors_nn_L1Loss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.018s) 2022-11-23T02:09:23.6369097Z test_non_contiguous_tensors_nn_L1Loss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.018s) 2022-11-23T02:09:23.6369424Z test_non_contiguous_tensors_nn_LSTMCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.027s) 2022-11-23T02:09:23.6369753Z test_non_contiguous_tensors_nn_LSTMCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.026s) 2022-11-23T02:09:23.6370097Z test_non_contiguous_tensors_nn_LSTM_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (1.196s) 2022-11-23T02:09:23.6370424Z test_non_contiguous_tensors_nn_LSTM_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (1.172s) 2022-11-23T02:09:23.6370770Z test_non_contiguous_tensors_nn_LSTM_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (1.192s) 2022-11-23T02:09:23.6371109Z test_non_contiguous_tensors_nn_LSTM_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (1.174s) 2022-11-23T02:09:23.6371445Z test_non_contiguous_tensors_nn_LazyConv1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.029s) 2022-11-23T02:09:23.6371770Z test_non_contiguous_tensors_nn_LazyConv1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.027s) 2022-11-23T02:09:23.6372101Z test_non_contiguous_tensors_nn_LazyConv2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.031s) 2022-11-23T02:09:23.6372432Z test_non_contiguous_tensors_nn_LazyConv2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.030s) 2022-11-23T02:09:23.6372752Z test_non_contiguous_tensors_nn_LazyConv3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.031s) 2022-11-23T02:09:23.6373083Z test_non_contiguous_tensors_nn_LazyConv3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.029s) 2022-11-23T02:09:23.6373436Z test_non_contiguous_tensors_nn_LazyConvTranspose1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.015s) 2022-11-23T02:09:23.6373799Z test_non_contiguous_tensors_nn_LazyConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.014s) 2022-11-23T02:09:23.6374152Z test_non_contiguous_tensors_nn_LazyConvTranspose2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.016s) 2022-11-23T02:09:23.6374510Z test_non_contiguous_tensors_nn_LazyConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.015s) 2022-11-23T02:09:23.6374873Z test_non_contiguous_tensors_nn_LazyConvTranspose3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.017s) 2022-11-23T02:09:23.6375234Z test_non_contiguous_tensors_nn_LazyConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.017s) 2022-11-23T02:09:23.6375563Z test_non_contiguous_tensors_nn_Linear_cpu_float32 (__main__.TestModuleCPU) ... ok (0.017s) 2022-11-23T02:09:23.6375887Z test_non_contiguous_tensors_nn_Linear_cpu_float64 (__main__.TestModuleCPU) ... ok (0.017s) 2022-11-23T02:09:23.6376242Z test_non_contiguous_tensors_nn_MultiheadAttention_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.889s) 2022-11-23T02:09:23.6376611Z test_non_contiguous_tensors_nn_MultiheadAttention_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.853s) 2022-11-23T02:09:23.6377029Z test_non_contiguous_tensors_nn_MultiheadAttention_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.874s) 2022-11-23T02:09:23.6377407Z test_non_contiguous_tensors_nn_MultiheadAttention_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.849s) 2022-11-23T02:09:23.6377762Z test_non_contiguous_tensors_nn_NLLLoss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.027s) 2022-11-23T02:09:23.6378076Z test_non_contiguous_tensors_nn_NLLLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.027s) 2022-11-23T02:09:23.6378397Z test_non_contiguous_tensors_nn_RNNCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.023s) 2022-11-23T02:09:23.6378883Z test_non_contiguous_tensors_nn_RNNCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.022s) 2022-11-23T02:09:23.6379217Z test_non_contiguous_tensors_nn_RNN_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.482s) 2022-11-23T02:09:23.6379544Z test_non_contiguous_tensors_nn_RNN_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.469s) 2022-11-23T02:09:23.6379883Z test_non_contiguous_tensors_nn_RNN_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.481s) 2022-11-23T02:09:23.6380224Z test_non_contiguous_tensors_nn_RNN_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.470s) 2022-11-23T02:09:23.6380555Z test_non_contiguous_tensors_nn_ReLU_cpu_float32 (__main__.TestModuleCPU) ... ok (0.012s) 2022-11-23T02:09:23.6380865Z test_non_contiguous_tensors_nn_ReLU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.012s) 2022-11-23T02:09:23.6381189Z test_non_contiguous_tensors_nn_Sigmoid_cpu_float32 (__main__.TestModuleCPU) ... ok (0.010s) 2022-11-23T02:09:23.6381519Z test_non_contiguous_tensors_nn_Sigmoid_cpu_float64 (__main__.TestModuleCPU) ... ok (0.009s) 2022-11-23T02:09:23.6381864Z test_non_contiguous_tensors_nn_TransformerDecoderLayer_cpu_float32 (__main__.TestModuleCPU) ... ok (0.413s) 2022-11-23T02:09:23.6382248Z test_non_contiguous_tensors_nn_TransformerDecoderLayer_cpu_float64 (__main__.TestModuleCPU) ... ok (0.403s) 2022-11-23T02:09:23.6382643Z test_non_contiguous_tensors_nn_TransformerEncoderLayer_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.311s) 2022-11-23T02:09:23.6383044Z test_non_contiguous_tensors_nn_TransformerEncoderLayer_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.305s) 2022-11-23T02:09:23.6383431Z test_non_contiguous_tensors_nn_TransformerEncoderLayer_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.282s) 2022-11-23T02:09:23.6383831Z test_non_contiguous_tensors_nn_TransformerEncoderLayer_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.273s) 2022-11-23T02:09:23.6384204Z test_non_contiguous_tensors_nn_Transformer_cpu_float32 (__main__.TestModuleCPU) ... ok (0.732s) 2022-11-23T02:09:23.6384541Z test_non_contiguous_tensors_nn_Transformer_cpu_float64 (__main__.TestModuleCPU) ... ok (0.610s) 2022-11-23T02:09:23.6384866Z test_pickle_ao_nn_quantized_MaxPool2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6385201Z test_pickle_ao_nn_quantized_MaxPool2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6385527Z test_pickle_nn_AdaptiveAvgPool2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6385844Z test_pickle_nn_AdaptiveAvgPool2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6386161Z test_pickle_nn_AvgPool1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6386466Z test_pickle_nn_AvgPool1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6386787Z test_pickle_nn_BatchNorm2d_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6387107Z test_pickle_nn_BatchNorm2d_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6387441Z test_pickle_nn_BatchNorm2d_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6387774Z test_pickle_nn_BatchNorm2d_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6388138Z test_pickle_nn_BatchNorm3d_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6388465Z test_pickle_nn_BatchNorm3d_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6388798Z test_pickle_nn_BatchNorm3d_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6389131Z test_pickle_nn_BatchNorm3d_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6389513Z test_pickle_nn_Bilinear_cpu_float32 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6389822Z test_pickle_nn_Bilinear_cpu_float64 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6390173Z test_pickle_nn_Conv1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.007s) 2022-11-23T02:09:23.6390471Z test_pickle_nn_Conv1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.007s) 2022-11-23T02:09:23.6390749Z test_pickle_nn_Conv2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.007s) 2022-11-23T02:09:23.6391048Z test_pickle_nn_Conv2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.007s) 2022-11-23T02:09:23.6391339Z test_pickle_nn_Conv3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.007s) 2022-11-23T02:09:23.6391613Z test_pickle_nn_Conv3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.008s) 2022-11-23T02:09:23.6391928Z test_pickle_nn_ConvTranspose1d_cpu_complex128 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6392278Z test_pickle_nn_ConvTranspose1d_cpu_complex32 (__main__.TestModuleCPU) ... expected failure (0.011s) 2022-11-23T02:09:23.6392624Z test_pickle_nn_ConvTranspose1d_cpu_complex64 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6392938Z test_pickle_nn_ConvTranspose1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6393259Z test_pickle_nn_ConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6393584Z test_pickle_nn_ConvTranspose2d_cpu_complex128 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6393920Z test_pickle_nn_ConvTranspose2d_cpu_complex32 (__main__.TestModuleCPU) ... expected failure (0.011s) 2022-11-23T02:09:23.6394263Z test_pickle_nn_ConvTranspose2d_cpu_complex64 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6394589Z test_pickle_nn_ConvTranspose2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6394906Z test_pickle_nn_ConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6395215Z test_pickle_nn_ConvTranspose3d_cpu_complex128 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6395560Z test_pickle_nn_ConvTranspose3d_cpu_complex32 (__main__.TestModuleCPU) ... expected failure (0.011s) 2022-11-23T02:09:23.6395906Z test_pickle_nn_ConvTranspose3d_cpu_complex64 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6396216Z test_pickle_nn_ConvTranspose3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6396534Z test_pickle_nn_ConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6396851Z test_pickle_nn_CrossEntropyLoss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.011s) 2022-11-23T02:09:23.6397173Z test_pickle_nn_CrossEntropyLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.011s) 2022-11-23T02:09:23.6397463Z test_pickle_nn_ELU_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6397751Z test_pickle_nn_ELU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6398047Z test_pickle_nn_Embedding_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6398340Z test_pickle_nn_Embedding_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6398639Z test_pickle_nn_GRUCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6398931Z test_pickle_nn_GRUCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6399272Z test_pickle_nn_GRU_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.055s) 2022-11-23T02:09:23.6399567Z test_pickle_nn_GRU_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.056s) 2022-11-23T02:09:23.6399877Z test_pickle_nn_GRU_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.055s) 2022-11-23T02:09:23.6400189Z test_pickle_nn_GRU_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.056s) 2022-11-23T02:09:23.6400494Z test_pickle_nn_GaussianNLLLoss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6400813Z test_pickle_nn_GaussianNLLLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6401124Z test_pickle_nn_Hardswish_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6401463Z test_pickle_nn_Hardswish_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6401753Z test_pickle_nn_L1Loss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6402048Z test_pickle_nn_L1Loss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6402346Z test_pickle_nn_LSTMCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6402635Z test_pickle_nn_LSTMCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6402941Z test_pickle_nn_LSTM_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.116s) 2022-11-23T02:09:23.6403247Z test_pickle_nn_LSTM_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.118s) 2022-11-23T02:09:23.6403556Z test_pickle_nn_LSTM_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.116s) 2022-11-23T02:09:23.6403848Z test_pickle_nn_LSTM_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.118s) 2022-11-23T02:09:23.6404160Z test_pickle_nn_LazyConv1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.008s) 2022-11-23T02:09:23.6404465Z test_pickle_nn_LazyConv1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.008s) 2022-11-23T02:09:23.6404755Z test_pickle_nn_LazyConv2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.008s) 2022-11-23T02:09:23.6405057Z test_pickle_nn_LazyConv2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.008s) 2022-11-23T02:09:23.6405359Z test_pickle_nn_LazyConv3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.008s) 2022-11-23T02:09:23.6405661Z test_pickle_nn_LazyConv3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.008s) 2022-11-23T02:09:23.6405968Z test_pickle_nn_LazyConvTranspose1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6406302Z test_pickle_nn_LazyConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6406634Z test_pickle_nn_LazyConvTranspose2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6406959Z test_pickle_nn_LazyConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6407288Z test_pickle_nn_LazyConvTranspose3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6407615Z test_pickle_nn_LazyConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6407929Z test_pickle_nn_Linear_cpu_float32 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6408210Z test_pickle_nn_Linear_cpu_float64 (__main__.TestModuleCPU) ... ok (0.005s) 2022-11-23T02:09:23.6408533Z test_pickle_nn_MultiheadAttention_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.163s) 2022-11-23T02:09:23.6408883Z test_pickle_nn_MultiheadAttention_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.162s) 2022-11-23T02:09:23.6409239Z test_pickle_nn_MultiheadAttention_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.163s) 2022-11-23T02:09:23.6409575Z test_pickle_nn_MultiheadAttention_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.162s) 2022-11-23T02:09:23.6409900Z test_pickle_nn_NLLLoss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.007s) 2022-11-23T02:09:23.6410195Z test_pickle_nn_NLLLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.007s) 2022-11-23T02:09:23.6410509Z test_pickle_nn_RNNCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6410805Z test_pickle_nn_RNNCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.006s) 2022-11-23T02:09:23.6411104Z test_pickle_nn_RNN_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.087s) 2022-11-23T02:09:23.6411408Z test_pickle_nn_RNN_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.088s) 2022-11-23T02:09:23.6411706Z test_pickle_nn_RNN_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.088s) 2022-11-23T02:09:23.6412011Z test_pickle_nn_RNN_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.088s) 2022-11-23T02:09:23.6412309Z test_pickle_nn_ReLU_cpu_float32 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6412618Z test_pickle_nn_ReLU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.004s) 2022-11-23T02:09:23.6412912Z test_pickle_nn_Sigmoid_cpu_float32 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6413207Z test_pickle_nn_Sigmoid_cpu_float64 (__main__.TestModuleCPU) ... ok (0.003s) 2022-11-23T02:09:23.6413534Z test_pickle_nn_TransformerDecoderLayer_cpu_float32 (__main__.TestModuleCPU) ... ok (0.103s) 2022-11-23T02:09:23.6413875Z test_pickle_nn_TransformerDecoderLayer_cpu_float64 (__main__.TestModuleCPU) ... ok (0.104s) 2022-11-23T02:09:23.6414238Z test_pickle_nn_TransformerEncoderLayer_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.082s) 2022-11-23T02:09:23.6414611Z test_pickle_nn_TransformerEncoderLayer_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.081s) 2022-11-23T02:09:23.6414971Z test_pickle_nn_TransformerEncoderLayer_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.073s) 2022-11-23T02:09:23.6415344Z test_pickle_nn_TransformerEncoderLayer_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.074s) 2022-11-23T02:09:23.6415682Z test_pickle_nn_Transformer_cpu_float32 (__main__.TestModuleCPU) ... ok (0.187s) 2022-11-23T02:09:23.6415986Z test_pickle_nn_Transformer_cpu_float64 (__main__.TestModuleCPU) ... ok (0.188s) 2022-11-23T02:09:23.6416294Z test_repr_ao_nn_quantized_MaxPool2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6416622Z test_repr_ao_nn_quantized_MaxPool2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6416946Z test_repr_nn_AdaptiveAvgPool2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6417250Z test_repr_nn_AdaptiveAvgPool2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6417556Z test_repr_nn_AvgPool1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6417851Z test_repr_nn_AvgPool1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6418162Z test_repr_nn_BatchNorm2d_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6418473Z test_repr_nn_BatchNorm2d_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6418917Z test_repr_nn_BatchNorm2d_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6419249Z test_repr_nn_BatchNorm2d_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6419567Z test_repr_nn_BatchNorm3d_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6419875Z test_repr_nn_BatchNorm3d_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6420192Z test_repr_nn_BatchNorm3d_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6420519Z test_repr_nn_BatchNorm3d_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6420820Z test_repr_nn_Bilinear_cpu_float32 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6421118Z test_repr_nn_Bilinear_cpu_float64 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6421406Z test_repr_nn_Conv1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6421693Z test_repr_nn_Conv1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6422019Z test_repr_nn_Conv2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6422310Z test_repr_nn_Conv2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6422594Z test_repr_nn_Conv3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6422863Z test_repr_nn_Conv3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6423173Z test_repr_nn_ConvTranspose1d_cpu_complex128 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6423496Z test_repr_nn_ConvTranspose1d_cpu_complex32 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6423813Z test_repr_nn_ConvTranspose1d_cpu_complex64 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6424160Z test_repr_nn_ConvTranspose1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6424475Z test_repr_nn_ConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6424794Z test_repr_nn_ConvTranspose2d_cpu_complex128 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6425100Z test_repr_nn_ConvTranspose2d_cpu_complex32 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6425412Z test_repr_nn_ConvTranspose2d_cpu_complex64 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6425722Z test_repr_nn_ConvTranspose2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6426033Z test_repr_nn_ConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6426334Z test_repr_nn_ConvTranspose3d_cpu_complex128 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6426654Z test_repr_nn_ConvTranspose3d_cpu_complex32 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6426972Z test_repr_nn_ConvTranspose3d_cpu_complex64 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6427277Z test_repr_nn_ConvTranspose3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6427593Z test_repr_nn_ConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6427912Z test_repr_nn_CrossEntropyLoss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6428230Z test_repr_nn_CrossEntropyLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6428517Z test_repr_nn_ELU_cpu_float32 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6428800Z test_repr_nn_ELU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6429090Z test_repr_nn_Embedding_cpu_float32 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6429470Z test_repr_nn_Embedding_cpu_float64 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6429779Z test_repr_nn_GRUCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6430071Z test_repr_nn_GRUCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6430368Z test_repr_nn_GRU_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.008s) 2022-11-23T02:09:23.6430659Z test_repr_nn_GRU_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.008s) 2022-11-23T02:09:23.6430968Z test_repr_nn_GRU_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.008s) 2022-11-23T02:09:23.6431268Z test_repr_nn_GRU_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.008s) 2022-11-23T02:09:23.6431567Z test_repr_nn_GaussianNLLLoss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6431880Z test_repr_nn_GaussianNLLLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6432186Z test_repr_nn_Hardswish_cpu_float32 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6432489Z test_repr_nn_Hardswish_cpu_float64 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6432770Z test_repr_nn_L1Loss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6433063Z test_repr_nn_L1Loss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6433415Z test_repr_nn_LSTMCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6433704Z test_repr_nn_LSTMCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6434008Z test_repr_nn_LSTM_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.015s) 2022-11-23T02:09:23.6434316Z test_repr_nn_LSTM_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.017s) 2022-11-23T02:09:23.6434628Z test_repr_nn_LSTM_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.015s) 2022-11-23T02:09:23.6434920Z test_repr_nn_LSTM_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.017s) 2022-11-23T02:09:23.6435233Z test_repr_nn_LazyConv1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6435575Z test_repr_nn_LazyConv1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6435867Z test_repr_nn_LazyConv2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6436171Z test_repr_nn_LazyConv2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6436312Z test_repr_nn_LazyConv3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6436450Z test_repr_nn_LazyConv3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6436607Z test_repr_nn_LazyConvTranspose1d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6436766Z test_repr_nn_LazyConvTranspose1d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6436909Z test_repr_nn_LazyConvTranspose2d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6437068Z test_repr_nn_LazyConvTranspose2d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6437228Z test_repr_nn_LazyConvTranspose3d_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6437379Z test_repr_nn_LazyConvTranspose3d_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6437520Z test_repr_nn_Linear_cpu_float32 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6437655Z test_repr_nn_Linear_cpu_float64 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6437822Z test_repr_nn_MultiheadAttention_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.016s) 2022-11-23T02:09:23.6437988Z test_repr_nn_MultiheadAttention_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.017s) 2022-11-23T02:09:23.6438152Z test_repr_nn_MultiheadAttention_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.016s) 2022-11-23T02:09:23.6438305Z test_repr_nn_MultiheadAttention_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.017s) 2022-11-23T02:09:23.6438443Z test_repr_nn_NLLLoss_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6438576Z test_repr_nn_NLLLoss_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6438709Z test_repr_nn_RNNCell_cpu_float32 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6438843Z test_repr_nn_RNNCell_cpu_float64 (__main__.TestModuleCPU) ... ok (0.002s) 2022-11-23T02:09:23.6438987Z test_repr_nn_RNN_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.014s) 2022-11-23T02:09:23.6439126Z test_repr_nn_RNN_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.015s) 2022-11-23T02:09:23.6439271Z test_repr_nn_RNN_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.014s) 2022-11-23T02:09:23.6439397Z test_repr_nn_RNN_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.015s) 2022-11-23T02:09:23.6439533Z test_repr_nn_ReLU_cpu_float32 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6439664Z test_repr_nn_ReLU_cpu_float64 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6439800Z test_repr_nn_Sigmoid_cpu_float32 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6439932Z test_repr_nn_Sigmoid_cpu_float64 (__main__.TestModuleCPU) ... ok (0.001s) 2022-11-23T02:09:23.6440097Z test_repr_nn_TransformerDecoderLayer_cpu_float32 (__main__.TestModuleCPU) ... ok (0.018s) 2022-11-23T02:09:23.6440298Z test_repr_nn_TransformerDecoderLayer_cpu_float64 (__main__.TestModuleCPU) ... ok (0.020s) 2022-11-23T02:09:23.6440475Z test_repr_nn_TransformerEncoderLayer_eval_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.014s) 2022-11-23T02:09:23.6440637Z test_repr_nn_TransformerEncoderLayer_eval_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.015s) 2022-11-23T02:09:23.6440814Z test_repr_nn_TransformerEncoderLayer_train_mode_cpu_float32 (__main__.TestModuleCPU) ... ok (0.013s) 2022-11-23T02:09:23.6440989Z test_repr_nn_TransformerEncoderLayer_train_mode_cpu_float64 (__main__.TestModuleCPU) ... ok (0.014s) 2022-11-23T02:09:23.6441184Z test_repr_nn_Transformer_cpu_float32 (__main__.TestModuleCPU) ... ok (0.061s) 2022-11-23T02:09:23.6441326Z test_repr_nn_Transformer_cpu_float64 (__main__.TestModuleCPU) ... ok (0.062s) 2022-11-23T02:09:23.6441337Z 2022-11-23T02:09:23.6441597Z ---------------------------------------------------------------------- 2022-11-23T02:09:23.6441678Z Ran 972 tests in 152.827s 2022-11-23T02:09:23.6441686Z 2022-11-23T02:09:23.6441785Z OK (skipped=226, expected failures=31) 2022-11-23T02:09:23.6441789Z 2022-11-23T02:09:23.6441873Z Generating XML reports... 2022-11-23T02:09:23.6442153Z Generated XML report: test-reports/python-unittest/test_modules/TEST-TestModuleCPU-20221123020650.xml 2022-11-23T02:09:23.6442158Z 2022-11-23T02:09:23.6442569Z ##[endgroup] 2022-11-23T02:09:23.6442850Z FINISHED PRINTING LOG FILE of test_modules (/var/lib/jenkins/workspace/test/test-reports/test_modules_p0wds2qp) 2022-11-23T02:09:23.6442855Z 2022-11-23T02:09:23.6443024Z Running test_reductions ... [2022-11-23 02:09:23.599123] 2022-11-23T02:09:23.6443367Z Executing ['/opt/conda/bin/python', '-bb', 'test_reductions.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:09:23.599444] 2022-11-23T02:11:54.9621873Z 2022-11-23T02:11:54.9622363Z Expand the folded group to see the log file of test_reductions 2022-11-23T02:11:54.9623253Z ##[group]PRINTING LOG FILE of test_reductions (/var/lib/jenkins/workspace/test/test-reports/test_reductions_ssiikc8i) 2022-11-23T02:11:54.9628452Z Test results will be stored in test-reports/python-unittest/test_reductions 2022-11-23T02:11:54.9628775Z 2022-11-23T02:11:54.9628898Z Running tests... 2022-11-23T02:11:54.9629445Z ---------------------------------------------------------------------- 2022-11-23T02:11:54.9631400Z test_accreal_type_cpu (__main__.TestReductionsCPU) ... ok (0.020s) 2022-11-23T02:11:54.9631895Z test_all_any_cpu (__main__.TestReductionsCPU) ... ok (0.002s) 2022-11-23T02:11:54.9632342Z test_all_any_empty_cpu (__main__.TestReductionsCPU) ... ok (0.001s) 2022-11-23T02:11:54.9634109Z test_all_any_vs_numpy_cpu_bool (__main__.TestReductionsCPU) ... test_reductions.py:1737: UserWarning: The use of `x.T` on tensors of dimension other than 2 to reverse their shape is deprecated and it will throw an error in a future release. Consider `x.mT` to transpose batches of matrices or `x.permute(*torch.arange(x.ndim - 1, -1, -1))` to reverse the dimensions of a tensor. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorShape.cpp:3523.) 2022-11-23T02:11:54.9674187Z _test_all_any(x.T) 2022-11-23T02:11:54.9675316Z test_reductions.py:1701: UserWarning: An output with one or more elements was resized since it had shape [4], which does not match the required output shape []. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T02:11:54.9675977Z torch.all(x, dim, out=out) 2022-11-23T02:11:54.9676752Z test_reductions.py:1701: UserWarning: An output with one or more elements was resized since it had shape [1, 1], which does not match the required output shape [1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T02:11:54.9677592Z torch.all(x, dim, out=out) 2022-11-23T02:11:54.9678387Z test_reductions.py:1701: UserWarning: An output with one or more elements was resized since it had shape [1, 5, 1], which does not match the required output shape [5, 1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T02:11:54.9679454Z torch.all(x, dim, out=out) 2022-11-23T02:11:54.9680543Z test_reductions.py:1701: UserWarning: An output with one or more elements was resized since it had shape [1, 5, 1], which does not match the required output shape [1, 1]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T02:11:54.9681262Z torch.all(x, dim, out=out) 2022-11-23T02:11:54.9682249Z test_reductions.py:1701: UserWarning: An output with one or more elements was resized since it had shape [1, 5, 1], which does not match the required output shape [1, 5]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T02:11:54.9683030Z torch.all(x, dim, out=out) 2022-11-23T02:11:54.9684188Z test_reductions.py:1701: UserWarning: An output with one or more elements was resized since it had shape [1, 1, 3, 2], which does not match the required output shape [1, 3, 2]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T02:11:54.9684828Z torch.all(x, dim, out=out) 2022-11-23T02:11:54.9685466Z test_reductions.py:1701: UserWarning: An output with one or more elements was resized since it had shape [1, 1, 3, 2], which does not match the required output shape [1, 1, 2]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T02:11:54.9686423Z torch.all(x, dim, out=out) 2022-11-23T02:11:54.9687591Z test_reductions.py:1701: UserWarning: An output with one or more elements was resized since it had shape [1, 1, 3, 2], which does not match the required output shape [1, 1, 3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T02:11:54.9688461Z torch.all(x, dim, out=out) 2022-11-23T02:11:54.9688631Z ok (0.059s) 2022-11-23T02:11:54.9689354Z test_all_any_vs_numpy_cpu_complex128 (__main__.TestReductionsCPU) ... /opt/conda/lib/python3.7/site-packages/torch/testing/_internal/common_utils.py:2493: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Copy.cpp:275.) 2022-11-23T02:11:54.9689893Z torch_result = torch_fn(t).cpu() 2022-11-23T02:11:54.9690084Z ok (0.410s) 2022-11-23T02:11:54.9690317Z test_all_any_vs_numpy_cpu_complex64 (__main__.TestReductionsCPU) ... ok (0.409s) 2022-11-23T02:11:54.9690631Z test_all_any_vs_numpy_cpu_float16 (__main__.TestReductionsCPU) ... ok (0.408s) 2022-11-23T02:11:54.9690935Z test_all_any_vs_numpy_cpu_float32 (__main__.TestReductionsCPU) ... ok (0.409s) 2022-11-23T02:11:54.9691227Z test_all_any_vs_numpy_cpu_float64 (__main__.TestReductionsCPU) ... ok (0.409s) 2022-11-23T02:11:54.9691531Z test_all_any_vs_numpy_cpu_int16 (__main__.TestReductionsCPU) ... ok (0.405s) 2022-11-23T02:11:54.9691868Z test_all_any_vs_numpy_cpu_int32 (__main__.TestReductionsCPU) ... ok (0.403s) 2022-11-23T02:11:54.9692161Z test_all_any_vs_numpy_cpu_int64 (__main__.TestReductionsCPU) ... ok (0.403s) 2022-11-23T02:11:54.9692447Z test_all_any_vs_numpy_cpu_int8 (__main__.TestReductionsCPU) ... ok (0.403s) 2022-11-23T02:11:54.9692748Z test_all_any_vs_numpy_cpu_uint8 (__main__.TestReductionsCPU) ... ok (0.059s) 2022-11-23T02:11:54.9693040Z test_all_any_with_dim_cpu (__main__.TestReductionsCPU) ... ok (0.002s) 2022-11-23T02:11:54.9693313Z test_amax_cpu_bool (__main__.TestReductionsCPU) ... ok (0.002s) 2022-11-23T02:11:54.9693596Z test_amax_cpu_float16 (__main__.TestReductionsCPU) ... ok (0.003s) 2022-11-23T02:11:54.9693876Z test_amax_cpu_float32 (__main__.TestReductionsCPU) ... ok (0.003s) 2022-11-23T02:11:54.9694160Z test_amax_cpu_float64 (__main__.TestReductionsCPU) ... ok (0.003s) 2022-11-23T02:11:54.9694427Z test_amax_cpu_int32 (__main__.TestReductionsCPU) ... ok (0.002s) 2022-11-23T02:11:54.9694712Z test_amax_cpu_int64 (__main__.TestReductionsCPU) ... ok (0.002s) 2022-11-23T02:11:54.9694996Z test_amin_amax_some_dims_cpu (__main__.TestReductionsCPU) ... ok (0.017s) 2022-11-23T02:11:54.9695271Z test_amin_cpu_bool (__main__.TestReductionsCPU) ... ok (0.002s) 2022-11-23T02:11:54.9695551Z test_amin_cpu_float16 (__main__.TestReductionsCPU) ... ok (0.003s) 2022-11-23T02:11:54.9695836Z test_amin_cpu_float32 (__main__.TestReductionsCPU) ... ok (0.002s) 2022-11-23T02:11:54.9696120Z test_amin_cpu_float64 (__main__.TestReductionsCPU) ... ok (0.003s) 2022-11-23T02:11:54.9696380Z test_amin_cpu_int32 (__main__.TestReductionsCPU) ... ok (0.002s) 2022-11-23T02:11:54.9696653Z test_amin_cpu_int64 (__main__.TestReductionsCPU) ... ok (0.002s) 2022-11-23T02:11:54.9696934Z test_aminmax_cpu_float32 (__main__.TestReductionsCPU) ... ok (0.007s) 2022-11-23T02:11:54.9697208Z test_aminmax_cpu_float64 (__main__.TestReductionsCPU) ... ok (0.007s) 2022-11-23T02:11:54.9697513Z test_argminmax_axis_with_dim_one_cpu (__main__.TestReductionsCPU) ... ok (0.003s) 2022-11-23T02:11:54.9697847Z test_argminmax_large_axis_cpu (__main__.TestReductionsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:11:54.9698403Z test_argminmax_multiple_cpu_float16 (__main__.TestReductionsCPU) ... test_reductions.py:1621: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T02:11:54.9699162Z x[mask] = torch.tensor(max_val + 1, dtype=dtype) 2022-11-23T02:11:54.9699835Z test_reductions.py:1624: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T02:11:54.9700685Z x[mask] = torch.tensor(min_val - 1, dtype=dtype) 2022-11-23T02:11:54.9701049Z ok (0.012s) 2022-11-23T02:11:54.9701473Z test_argminmax_multiple_cpu_float32 (__main__.TestReductionsCPU) ... ok (0.017s) 2022-11-23T02:11:54.9702060Z test_argminmax_multiple_cpu_float64 (__main__.TestReductionsCPU) ... ok (0.017s) 2022-11-23T02:11:54.9702629Z test_argminmax_multiple_cpu_int16 (__main__.TestReductionsCPU) ... ok (0.016s) 2022-11-23T02:11:54.9703232Z test_argminmax_multiple_cpu_int32 (__main__.TestReductionsCPU) ... ok (0.016s) 2022-11-23T02:11:54.9703543Z test_argminmax_multiple_cpu_int64 (__main__.TestReductionsCPU) ... ok (0.016s) 2022-11-23T02:11:54.9703856Z test_argminmax_multiple_cpu_int8 (__main__.TestReductionsCPU) ... ok (0.016s) 2022-11-23T02:11:54.9704172Z test_argminmax_multiple_cpu_uint8 (__main__.TestReductionsCPU) ... ok (0.016s) 2022-11-23T02:11:54.9704450Z test_bincount_cpu (__main__.TestReductionsCPU) ... ok (0.213s) 2022-11-23T02:11:54.9704741Z test_bucketization_cpu (__main__.TestReductionsCPU) ... ok (0.052s) 2022-11-23T02:11:54.9705144Z test_count_nonzero_cpu_complex128 (__main__.TestReductionsCPU) ... ok (0.012s) 2022-11-23T02:11:54.9705695Z test_count_nonzero_cpu_complex64 (__main__.TestReductionsCPU) ... ok (0.011s) 2022-11-23T02:11:54.9706182Z test_count_nonzero_cpu_float16 (__main__.TestReductionsCPU) ... ok (0.012s) 2022-11-23T02:11:54.9706724Z test_count_nonzero_cpu_float32 (__main__.TestReductionsCPU) ... ok (0.011s) 2022-11-23T02:11:54.9707266Z test_count_nonzero_cpu_float64 (__main__.TestReductionsCPU) ... ok (0.011s) 2022-11-23T02:11:54.9707791Z test_count_nonzero_cpu_int16 (__main__.TestReductionsCPU) ... ok (0.006s) 2022-11-23T02:11:54.9708097Z test_count_nonzero_cpu_int32 (__main__.TestReductionsCPU) ... ok (0.006s) 2022-11-23T02:11:54.9708390Z test_count_nonzero_cpu_int64 (__main__.TestReductionsCPU) ... ok (0.006s) 2022-11-23T02:11:54.9708781Z test_count_nonzero_cpu_int8 (__main__.TestReductionsCPU) ... ok (0.006s) 2022-11-23T02:11:54.9709263Z test_count_nonzero_cpu_uint8 (__main__.TestReductionsCPU) ... ok (0.006s) 2022-11-23T02:11:54.9709696Z test_cumprod_integer_upcast_cpu (__main__.TestReductionsCPU) ... ok (0.166s) 2022-11-23T02:11:54.9710017Z test_cumsum_integer_upcast_cpu (__main__.TestReductionsCPU) ... ok (0.191s) 2022-11-23T02:11:54.9710328Z test_dim_arg_reduction_scalar_cpu_bfloat16 (__main__.TestReductionsCPU) ... ok (0.002s) 2022-11-23T02:11:54.9710658Z test_dim_arg_reduction_scalar_cpu_float16 (__main__.TestReductionsCPU) ... ok (0.002s) 2022-11-23T02:11:54.9711214Z test_dim_arg_reduction_scalar_cpu_float32 (__main__.TestReductionsCPU) ... ok (0.002s) 2022-11-23T02:11:54.9711805Z test_dim_arg_reduction_scalar_cpu_float64 (__main__.TestReductionsCPU) ... ok (0.002s) 2022-11-23T02:11:54.9712242Z test_dim_arg_reduction_scalar_cpu_int16 (__main__.TestReductionsCPU) ... ok (0.002s) 2022-11-23T02:11:54.9712787Z test_dim_arg_reduction_scalar_cpu_int32 (__main__.TestReductionsCPU) ... ok (0.002s) 2022-11-23T02:11:54.9713341Z test_dim_arg_reduction_scalar_cpu_int64 (__main__.TestReductionsCPU) ... ok (0.002s) 2022-11-23T02:11:54.9713667Z test_dim_arg_reduction_scalar_cpu_int8 (__main__.TestReductionsCPU) ... ok (0.002s) 2022-11-23T02:11:54.9713978Z test_dim_arg_reduction_scalar_cpu_uint8 (__main__.TestReductionsCPU) ... ok (0.002s) 2022-11-23T02:11:54.9714270Z test_dim_default_all_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9714552Z Tests that the default dim reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9714818Z test_dim_default_amax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9715087Z Tests that the default dim reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9715360Z test_dim_default_amin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9715682Z Tests that the default dim reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9716099Z test_dim_default_any_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9716519Z Tests that the default dim reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9716949Z test_dim_default_argmax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9717380Z Tests that the default dim reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9717818Z test_dim_default_argmin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9718259Z Tests that the default dim reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9718692Z test_dim_default_count_nonzero_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9719222Z Tests that the default dim reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9719683Z test_dim_default_keepdim_all_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9720226Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... expected failure (0.001s) 2022-11-23T02:11:54.9720746Z test_dim_default_keepdim_amax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9721264Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9721758Z test_dim_default_keepdim_amin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9722290Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9722784Z test_dim_default_keepdim_any_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9723306Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... expected failure (0.001s) 2022-11-23T02:11:54.9723848Z test_dim_default_keepdim_argmax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9724366Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... skip: Skipped! (0.000s) 2022-11-23T02:11:54.9724890Z test_dim_default_keepdim_argmin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9725426Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... skip: Skipped! (0.000s) 2022-11-23T02:11:54.9725957Z test_dim_default_keepdim_count_nonzero_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9726516Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... skip: Skipped! (0.000s) 2022-11-23T02:11:54.9727088Z test_dim_default_keepdim_linalg_vector_norm_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9727614Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9728113Z test_dim_default_keepdim_masked_amax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9728640Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9729156Z test_dim_default_keepdim_masked_amin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9729666Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9730166Z test_dim_default_keepdim_masked_argmax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9730687Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9731202Z test_dim_default_keepdim_masked_argmin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9731727Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9732250Z test_dim_default_keepdim_masked_logsumexp_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9732791Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9733298Z test_dim_default_keepdim_masked_mean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9733790Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9734306Z test_dim_default_keepdim_masked_norm_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9734818Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9735326Z test_dim_default_keepdim_masked_prod_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9735825Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9736339Z test_dim_default_keepdim_masked_std_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9736853Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... ok (0.002s) 2022-11-23T02:11:54.9737367Z test_dim_default_keepdim_masked_sum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9737927Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9738425Z test_dim_default_keepdim_masked_var_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9739054Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9739521Z test_dim_default_keepdim_mean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9740049Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... skip: Skipped! (0.000s) 2022-11-23T02:11:54.9740564Z test_dim_default_keepdim_nanmean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9741165Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9741646Z test_dim_default_keepdim_nansum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9742152Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9742643Z test_dim_default_keepdim_prod_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9743144Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... skip: Skipped! (0.000s) 2022-11-23T02:11:54.9743664Z test_dim_default_keepdim_std_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9744185Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... skip: Skipped! (0.000s) 2022-11-23T02:11:54.9744699Z test_dim_default_keepdim_sum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9745198Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... skip: Skipped! (0.000s) 2022-11-23T02:11:54.9745704Z test_dim_default_keepdim_var_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9746226Z Tests that the default dim, when keepdim=True, reduces all dimensions to size 1. ... skip: Skipped! (0.000s) 2022-11-23T02:11:54.9746748Z test_dim_default_linalg_vector_norm_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9747205Z Tests that the default dim reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9747661Z test_dim_default_masked_amax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9748106Z Tests that the default dim reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9748538Z test_dim_default_masked_amin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9748981Z Tests that the default dim reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9771005Z test_dim_default_masked_argmax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9771532Z Tests that the default dim reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9772012Z test_dim_default_masked_argmin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9772463Z Tests that the default dim reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9772963Z test_dim_default_masked_logsumexp_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9773441Z Tests that the default dim reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9773948Z test_dim_default_masked_mean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9774324Z Tests that the default dim reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9774615Z test_dim_default_masked_norm_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9774878Z Tests that the default dim reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9775163Z test_dim_default_masked_prod_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9775435Z Tests that the default dim reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9775696Z test_dim_default_masked_std_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9775974Z Tests that the default dim reduces all dimensions. ... ok (0.002s) 2022-11-23T02:11:54.9776248Z test_dim_default_masked_sum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9776523Z Tests that the default dim reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9776893Z test_dim_default_masked_var_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9777172Z Tests that the default dim reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9777445Z test_dim_default_mean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9777707Z Tests that the default dim reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9780740Z test_dim_default_nanmean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9781019Z Tests that the default dim reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9781294Z test_dim_default_nansum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9781553Z Tests that the default dim reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9781936Z test_dim_default_prod_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9782209Z Tests that the default dim reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9782464Z test_dim_default_std_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9782736Z Tests that the default dim reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9783016Z test_dim_default_sum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9783279Z Tests that the default dim reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9783545Z test_dim_default_var_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9783814Z Tests that the default dim reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9784085Z test_dim_empty_amax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9784425Z Tests that dim=[] is a no-op ... expected failure (0.001s) 2022-11-23T02:11:54.9784692Z test_dim_empty_amin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9785010Z Tests that dim=[] is a no-op ... expected failure (0.001s) 2022-11-23T02:11:54.9785268Z test_dim_empty_count_nonzero_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9785592Z Tests that dim=[] is a no-op ... skip: Skipped! (0.000s) 2022-11-23T02:11:54.9785862Z test_dim_empty_keepdim_amax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9786208Z Tests that dim=[], when keepdim=True, is a no-op ... expected failure (0.001s) 2022-11-23T02:11:54.9786507Z test_dim_empty_keepdim_amin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9786864Z Tests that dim=[], when keepdim=True, is a no-op ... expected failure (0.001s) 2022-11-23T02:11:54.9787167Z test_dim_empty_keepdim_count_nonzero_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9787516Z Tests that dim=[], when keepdim=True, is a no-op ... skip: Skipped! (0.000s) 2022-11-23T02:11:54.9787819Z test_dim_empty_keepdim_linalg_vector_norm_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9788183Z Tests that dim=[], when keepdim=True, is a no-op ... expected failure (0.001s) 2022-11-23T02:11:54.9788473Z test_dim_empty_keepdim_masked_amax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9788831Z Tests that dim=[], when keepdim=True, is a no-op ... expected failure (0.001s) 2022-11-23T02:11:54.9789131Z test_dim_empty_keepdim_masked_amin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9789604Z Tests that dim=[], when keepdim=True, is a no-op ... expected failure (0.001s) 2022-11-23T02:11:54.9789896Z test_dim_empty_keepdim_masked_logsumexp_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9790263Z Tests that dim=[], when keepdim=True, is a no-op ... skip: Skipped! (0.000s) 2022-11-23T02:11:54.9790558Z test_dim_empty_keepdim_masked_mean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9790907Z Tests that dim=[], when keepdim=True, is a no-op ... expected failure (0.001s) 2022-11-23T02:11:54.9791201Z test_dim_empty_keepdim_masked_norm_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9791562Z Tests that dim=[], when keepdim=True, is a no-op ... expected failure (0.001s) 2022-11-23T02:11:54.9791847Z test_dim_empty_keepdim_masked_prod_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9792191Z Tests that dim=[], when keepdim=True, is a no-op ... ok (0.001s) 2022-11-23T02:11:54.9792475Z test_dim_empty_keepdim_masked_std_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9792894Z Tests that dim=[], when keepdim=True, is a no-op ... expected failure (0.002s) 2022-11-23T02:11:54.9793177Z test_dim_empty_keepdim_masked_sum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9793536Z Tests that dim=[], when keepdim=True, is a no-op ... expected failure (0.001s) 2022-11-23T02:11:54.9793831Z test_dim_empty_keepdim_masked_var_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9794176Z Tests that dim=[], when keepdim=True, is a no-op ... expected failure (0.001s) 2022-11-23T02:11:54.9794466Z test_dim_empty_keepdim_mean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9794821Z Tests that dim=[], when keepdim=True, is a no-op ... skip: Skipped! (0.000s) 2022-11-23T02:11:54.9795143Z test_dim_empty_keepdim_nanmean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9795484Z Tests that dim=[], when keepdim=True, is a no-op ... skip: Skipped! (0.000s) 2022-11-23T02:11:54.9795771Z test_dim_empty_keepdim_nansum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9796128Z Tests that dim=[], when keepdim=True, is a no-op ... expected failure (0.001s) 2022-11-23T02:11:54.9796405Z test_dim_empty_keepdim_std_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9796757Z Tests that dim=[], when keepdim=True, is a no-op ... skip: Skipped! (0.000s) 2022-11-23T02:11:54.9797041Z test_dim_empty_keepdim_sum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9797379Z Tests that dim=[], when keepdim=True, is a no-op ... skip: Skipped! (0.000s) 2022-11-23T02:11:54.9797663Z test_dim_empty_keepdim_var_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9798009Z Tests that dim=[], when keepdim=True, is a no-op ... skip: Skipped! (0.000s) 2022-11-23T02:11:54.9798305Z test_dim_empty_linalg_vector_norm_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9798617Z Tests that dim=[] is a no-op ... expected failure (0.001s) 2022-11-23T02:11:54.9798894Z test_dim_empty_masked_amax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9799210Z Tests that dim=[] is a no-op ... expected failure (0.001s) 2022-11-23T02:11:54.9799469Z test_dim_empty_masked_amin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9799792Z Tests that dim=[] is a no-op ... expected failure (0.001s) 2022-11-23T02:11:54.9800064Z test_dim_empty_masked_logsumexp_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9800383Z Tests that dim=[] is a no-op ... skip: Skipped! (0.000s) 2022-11-23T02:11:54.9800634Z test_dim_empty_masked_mean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9800951Z Tests that dim=[] is a no-op ... expected failure (0.001s) 2022-11-23T02:11:54.9801215Z test_dim_empty_masked_norm_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9801516Z Tests that dim=[] is a no-op ... expected failure (0.001s) 2022-11-23T02:11:54.9801782Z test_dim_empty_masked_prod_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9802073Z Tests that dim=[] is a no-op ... ok (0.001s) 2022-11-23T02:11:54.9802313Z test_dim_empty_masked_std_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9802626Z Tests that dim=[] is a no-op ... expected failure (0.001s) 2022-11-23T02:11:54.9802888Z test_dim_empty_masked_sum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9803187Z Tests that dim=[] is a no-op ... expected failure (0.001s) 2022-11-23T02:11:54.9803456Z test_dim_empty_masked_var_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9803771Z Tests that dim=[] is a no-op ... expected failure (0.002s) 2022-11-23T02:11:54.9804032Z test_dim_empty_mean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9804327Z Tests that dim=[] is a no-op ... skip: Skipped! (0.000s) 2022-11-23T02:11:54.9804583Z test_dim_empty_nanmean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9804894Z Tests that dim=[] is a no-op ... skip: Skipped! (0.000s) 2022-11-23T02:11:54.9805144Z test_dim_empty_nansum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9805452Z Tests that dim=[] is a no-op ... expected failure (0.001s) 2022-11-23T02:11:54.9805709Z test_dim_empty_std_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9806036Z Tests that dim=[] is a no-op ... skip: Skipped! (0.000s) 2022-11-23T02:11:54.9806293Z test_dim_empty_sum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9806596Z Tests that dim=[] is a no-op ... skip: Skipped! (0.000s) 2022-11-23T02:11:54.9806853Z test_dim_empty_var_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9807145Z Tests that dim=[] is a no-op ... skip: Skipped! (0.000s) 2022-11-23T02:11:54.9807406Z test_dim_multi_amax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9807676Z Tests that dim=[i, j, ...] reduces dimensions i, j, .... ... ok (0.001s) 2022-11-23T02:11:54.9807927Z test_dim_multi_amin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9808223Z Tests that dim=[i, j, ...] reduces dimensions i, j, .... ... ok (0.001s) 2022-11-23T02:11:54.9808502Z test_dim_multi_count_nonzero_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9808762Z Tests that dim=[i, j, ...] reduces dimensions i, j, .... ... ok (0.001s) 2022-11-23T02:11:54.9809039Z test_dim_multi_duplicate_amax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9809337Z Tests that an error is raised if dim has duplicate entries. ... ok (0.006s) 2022-11-23T02:11:54.9809632Z test_dim_multi_duplicate_amin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9809906Z Tests that an error is raised if dim has duplicate entries. ... ok (0.006s) 2022-11-23T02:11:54.9810200Z test_dim_multi_duplicate_count_nonzero_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9810500Z Tests that an error is raised if dim has duplicate entries. ... ok (0.007s) 2022-11-23T02:11:54.9810795Z test_dim_multi_duplicate_linalg_vector_norm_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9811098Z Tests that an error is raised if dim has duplicate entries. ... ok (0.005s) 2022-11-23T02:11:54.9811392Z test_dim_multi_duplicate_masked_amax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9811689Z Tests that an error is raised if dim has duplicate entries. ... ok (0.001s) 2022-11-23T02:11:54.9811973Z test_dim_multi_duplicate_masked_amin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9812267Z Tests that an error is raised if dim has duplicate entries. ... ok (0.001s) 2022-11-23T02:11:54.9812575Z test_dim_multi_duplicate_masked_logsumexp_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9812870Z Tests that an error is raised if dim has duplicate entries. ... ok (0.001s) 2022-11-23T02:11:54.9813171Z test_dim_multi_duplicate_masked_mean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9813464Z Tests that an error is raised if dim has duplicate entries. ... ok (0.001s) 2022-11-23T02:11:54.9813743Z test_dim_multi_duplicate_masked_norm_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9814036Z Tests that an error is raised if dim has duplicate entries. ... ok (0.001s) 2022-11-23T02:11:54.9814330Z test_dim_multi_duplicate_masked_prod_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9814623Z Tests that an error is raised if dim has duplicate entries. ... ok (0.001s) 2022-11-23T02:11:54.9814909Z test_dim_multi_duplicate_masked_std_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9815215Z Tests that an error is raised if dim has duplicate entries. ... ok (0.001s) 2022-11-23T02:11:54.9815509Z test_dim_multi_duplicate_masked_sum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9815793Z Tests that an error is raised if dim has duplicate entries. ... ok (0.001s) 2022-11-23T02:11:54.9816100Z test_dim_multi_duplicate_masked_var_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9816404Z Tests that an error is raised if dim has duplicate entries. ... ok (0.001s) 2022-11-23T02:11:54.9816690Z test_dim_multi_duplicate_mean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9816965Z Tests that an error is raised if dim has duplicate entries. ... ok (0.006s) 2022-11-23T02:11:54.9817258Z test_dim_multi_duplicate_nanmean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9817553Z Tests that an error is raised if dim has duplicate entries. ... ok (0.008s) 2022-11-23T02:11:54.9817856Z test_dim_multi_duplicate_nansum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9818146Z Tests that an error is raised if dim has duplicate entries. ... ok (0.005s) 2022-11-23T02:11:54.9818430Z test_dim_multi_duplicate_std_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9818718Z Tests that an error is raised if dim has duplicate entries. ... ok (0.007s) 2022-11-23T02:11:54.9819136Z test_dim_multi_duplicate_sum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9819425Z Tests that an error is raised if dim has duplicate entries. ... ok (0.006s) 2022-11-23T02:11:54.9819713Z test_dim_multi_duplicate_var_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9820053Z Tests that an error is raised if dim has duplicate entries. ... ok (0.007s) 2022-11-23T02:11:54.9820332Z test_dim_multi_keepdim_amax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9820642Z Tests that dim=[i, j, ...], when keepdim=True, reduces dimensions i, j, .... to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9820937Z test_dim_multi_keepdim_amin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9821235Z Tests that dim=[i, j, ...], when keepdim=True, reduces dimensions i, j, .... to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9821562Z test_dim_multi_keepdim_count_nonzero_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9821895Z Tests that dim=[i, j, ...], when keepdim=True, reduces dimensions i, j, .... to size 1. ... skip: Skipped! (0.000s) 2022-11-23T02:11:54.9822212Z test_dim_multi_keepdim_linalg_vector_norm_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9822531Z Tests that dim=[i, j, ...], when keepdim=True, reduces dimensions i, j, .... to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9822843Z test_dim_multi_keepdim_masked_amax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9823155Z Tests that dim=[i, j, ...], when keepdim=True, reduces dimensions i, j, .... to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9823448Z test_dim_multi_keepdim_masked_amin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9823763Z Tests that dim=[i, j, ...], when keepdim=True, reduces dimensions i, j, .... to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9824085Z test_dim_multi_keepdim_masked_logsumexp_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9824396Z Tests that dim=[i, j, ...], when keepdim=True, reduces dimensions i, j, .... to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9824709Z test_dim_multi_keepdim_masked_mean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9825027Z Tests that dim=[i, j, ...], when keepdim=True, reduces dimensions i, j, .... to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9825335Z test_dim_multi_keepdim_masked_norm_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9825635Z Tests that dim=[i, j, ...], when keepdim=True, reduces dimensions i, j, .... to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9825946Z test_dim_multi_keepdim_masked_prod_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9826262Z Tests that dim=[i, j, ...], when keepdim=True, reduces dimensions i, j, .... to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9826559Z test_dim_multi_keepdim_masked_std_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9826872Z Tests that dim=[i, j, ...], when keepdim=True, reduces dimensions i, j, .... to size 1. ... ok (0.002s) 2022-11-23T02:11:54.9827178Z test_dim_multi_keepdim_masked_sum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9827494Z Tests that dim=[i, j, ...], when keepdim=True, reduces dimensions i, j, .... to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9827789Z test_dim_multi_keepdim_masked_var_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9828107Z Tests that dim=[i, j, ...], when keepdim=True, reduces dimensions i, j, .... to size 1. ... ok (0.002s) 2022-11-23T02:11:54.9828406Z test_dim_multi_keepdim_mean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9828697Z Tests that dim=[i, j, ...], when keepdim=True, reduces dimensions i, j, .... to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9828997Z test_dim_multi_keepdim_nanmean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9829422Z Tests that dim=[i, j, ...], when keepdim=True, reduces dimensions i, j, .... to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9829729Z test_dim_multi_keepdim_nansum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9830024Z Tests that dim=[i, j, ...], when keepdim=True, reduces dimensions i, j, .... to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9830321Z test_dim_multi_keepdim_std_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9830626Z Tests that dim=[i, j, ...], when keepdim=True, reduces dimensions i, j, .... to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9830917Z test_dim_multi_keepdim_sum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9831250Z Tests that dim=[i, j, ...], when keepdim=True, reduces dimensions i, j, .... to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9831549Z test_dim_multi_keepdim_var_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9831856Z Tests that dim=[i, j, ...], when keepdim=True, reduces dimensions i, j, .... to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9832151Z test_dim_multi_linalg_vector_norm_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9832437Z Tests that dim=[i, j, ...] reduces dimensions i, j, .... ... ok (0.001s) 2022-11-23T02:11:54.9832714Z test_dim_multi_masked_amax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9832975Z Tests that dim=[i, j, ...] reduces dimensions i, j, .... ... ok (0.001s) 2022-11-23T02:11:54.9833248Z test_dim_multi_masked_amin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9833517Z Tests that dim=[i, j, ...] reduces dimensions i, j, .... ... ok (0.001s) 2022-11-23T02:11:54.9833795Z test_dim_multi_masked_logsumexp_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9834067Z Tests that dim=[i, j, ...] reduces dimensions i, j, .... ... ok (0.001s) 2022-11-23T02:11:54.9834339Z test_dim_multi_masked_mean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9834610Z Tests that dim=[i, j, ...] reduces dimensions i, j, .... ... ok (0.001s) 2022-11-23T02:11:54.9834869Z test_dim_multi_masked_norm_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9835136Z Tests that dim=[i, j, ...] reduces dimensions i, j, .... ... ok (0.001s) 2022-11-23T02:11:54.9835403Z test_dim_multi_masked_prod_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9835659Z Tests that dim=[i, j, ...] reduces dimensions i, j, .... ... ok (0.001s) 2022-11-23T02:11:54.9835929Z test_dim_multi_masked_std_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9836201Z Tests that dim=[i, j, ...] reduces dimensions i, j, .... ... ok (0.001s) 2022-11-23T02:11:54.9836473Z test_dim_multi_masked_sum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9836727Z Tests that dim=[i, j, ...] reduces dimensions i, j, .... ... ok (0.001s) 2022-11-23T02:11:54.9836995Z test_dim_multi_masked_var_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9837262Z Tests that dim=[i, j, ...] reduces dimensions i, j, .... ... ok (0.002s) 2022-11-23T02:11:54.9837509Z test_dim_multi_mean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9837772Z Tests that dim=[i, j, ...] reduces dimensions i, j, .... ... ok (0.001s) 2022-11-23T02:11:54.9838035Z test_dim_multi_nanmean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9838288Z Tests that dim=[i, j, ...] reduces dimensions i, j, .... ... ok (0.001s) 2022-11-23T02:11:54.9838551Z test_dim_multi_nansum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9838820Z Tests that dim=[i, j, ...] reduces dimensions i, j, .... ... ok (0.001s) 2022-11-23T02:11:54.9839079Z test_dim_multi_std_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9839327Z Tests that dim=[i, j, ...] reduces dimensions i, j, .... ... ok (0.001s) 2022-11-23T02:11:54.9839590Z test_dim_multi_sum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9839852Z Tests that dim=[i, j, ...] reduces dimensions i, j, .... ... ok (0.001s) 2022-11-23T02:11:54.9840110Z test_dim_multi_unsorted_amax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9840396Z Tests that operator correctly handles unsorted dim list. ... ok (0.001s) 2022-11-23T02:11:54.9840709Z test_dim_multi_unsorted_amin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9840992Z Tests that operator correctly handles unsorted dim list. ... ok (0.001s) 2022-11-23T02:11:54.9841270Z test_dim_multi_unsorted_count_nonzero_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9841571Z Tests that operator correctly handles unsorted dim list. ... ok (0.001s) 2022-11-23T02:11:54.9841868Z test_dim_multi_unsorted_keepdim_amax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9842173Z Tests that operator correctly handles unsorted dim list when keepdim=True. ... ok (0.001s) 2022-11-23T02:11:54.9842491Z test_dim_multi_unsorted_keepdim_amin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9842834Z Tests that operator correctly handles unsorted dim list when keepdim=True. ... ok (0.001s) 2022-11-23T02:11:54.9843148Z test_dim_multi_unsorted_keepdim_count_nonzero_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9843492Z Tests that operator correctly handles unsorted dim list when keepdim=True. ... skip: Skipped! (0.000s) 2022-11-23T02:11:54.9843835Z test_dim_multi_unsorted_keepdim_linalg_vector_norm_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9844165Z Tests that operator correctly handles unsorted dim list when keepdim=True. ... ok (0.001s) 2022-11-23T02:11:54.9844476Z test_dim_multi_unsorted_keepdim_masked_amax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9844797Z Tests that operator correctly handles unsorted dim list when keepdim=True. ... ok (0.001s) 2022-11-23T02:11:54.9845120Z test_dim_multi_unsorted_keepdim_masked_amin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9845442Z Tests that operator correctly handles unsorted dim list when keepdim=True. ... ok (0.001s) 2022-11-23T02:11:54.9845761Z test_dim_multi_unsorted_keepdim_masked_logsumexp_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9846093Z Tests that operator correctly handles unsorted dim list when keepdim=True. ... ok (0.001s) 2022-11-23T02:11:54.9846426Z test_dim_multi_unsorted_keepdim_masked_mean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9846737Z Tests that operator correctly handles unsorted dim list when keepdim=True. ... ok (0.001s) 2022-11-23T02:11:54.9847055Z test_dim_multi_unsorted_keepdim_masked_norm_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9847370Z Tests that operator correctly handles unsorted dim list when keepdim=True. ... ok (0.001s) 2022-11-23T02:11:54.9847694Z test_dim_multi_unsorted_keepdim_masked_prod_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9848001Z Tests that operator correctly handles unsorted dim list when keepdim=True. ... ok (0.001s) 2022-11-23T02:11:54.9848321Z test_dim_multi_unsorted_keepdim_masked_std_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9848636Z Tests that operator correctly handles unsorted dim list when keepdim=True. ... ok (0.001s) 2022-11-23T02:11:54.9848947Z test_dim_multi_unsorted_keepdim_masked_sum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9849266Z Tests that operator correctly handles unsorted dim list when keepdim=True. ... ok (0.001s) 2022-11-23T02:11:54.9849585Z test_dim_multi_unsorted_keepdim_masked_var_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9849906Z Tests that operator correctly handles unsorted dim list when keepdim=True. ... ok (0.001s) 2022-11-23T02:11:54.9850209Z test_dim_multi_unsorted_keepdim_mean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9850521Z Tests that operator correctly handles unsorted dim list when keepdim=True. ... ok (0.001s) 2022-11-23T02:11:54.9850836Z test_dim_multi_unsorted_keepdim_nanmean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9851138Z Tests that operator correctly handles unsorted dim list when keepdim=True. ... ok (0.001s) 2022-11-23T02:11:54.9851451Z test_dim_multi_unsorted_keepdim_nansum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9851765Z Tests that operator correctly handles unsorted dim list when keepdim=True. ... ok (0.001s) 2022-11-23T02:11:54.9852107Z test_dim_multi_unsorted_keepdim_std_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9852413Z Tests that operator correctly handles unsorted dim list when keepdim=True. ... ok (0.001s) 2022-11-23T02:11:54.9852729Z test_dim_multi_unsorted_keepdim_sum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9853050Z Tests that operator correctly handles unsorted dim list when keepdim=True. ... ok (0.001s) 2022-11-23T02:11:54.9853350Z test_dim_multi_unsorted_keepdim_var_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9853666Z Tests that operator correctly handles unsorted dim list when keepdim=True. ... ok (0.001s) 2022-11-23T02:11:54.9853984Z test_dim_multi_unsorted_linalg_vector_norm_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9854314Z Tests that operator correctly handles unsorted dim list. ... ok (0.001s) 2022-11-23T02:11:54.9854594Z test_dim_multi_unsorted_masked_amax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9854892Z Tests that operator correctly handles unsorted dim list. ... ok (0.001s) 2022-11-23T02:11:54.9855187Z test_dim_multi_unsorted_masked_amin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9855467Z Tests that operator correctly handles unsorted dim list. ... ok (0.001s) 2022-11-23T02:11:54.9855770Z test_dim_multi_unsorted_masked_logsumexp_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9856069Z Tests that operator correctly handles unsorted dim list. ... ok (0.001s) 2022-11-23T02:11:54.9856361Z test_dim_multi_unsorted_masked_mean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9856636Z Tests that operator correctly handles unsorted dim list. ... ok (0.001s) 2022-11-23T02:11:54.9856923Z test_dim_multi_unsorted_masked_norm_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9857216Z Tests that operator correctly handles unsorted dim list. ... ok (0.001s) 2022-11-23T02:11:54.9857492Z test_dim_multi_unsorted_masked_prod_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9857782Z Tests that operator correctly handles unsorted dim list. ... ok (0.001s) 2022-11-23T02:11:54.9858073Z test_dim_multi_unsorted_masked_std_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9858358Z Tests that operator correctly handles unsorted dim list. ... ok (0.001s) 2022-11-23T02:11:54.9858652Z test_dim_multi_unsorted_masked_sum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9859071Z Tests that operator correctly handles unsorted dim list. ... ok (0.001s) 2022-11-23T02:11:54.9859363Z test_dim_multi_unsorted_masked_var_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9859644Z Tests that operator correctly handles unsorted dim list. ... ok (0.001s) 2022-11-23T02:11:54.9859928Z test_dim_multi_unsorted_mean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9860215Z Tests that operator correctly handles unsorted dim list. ... ok (0.001s) 2022-11-23T02:11:54.9860488Z test_dim_multi_unsorted_nanmean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9860782Z Tests that operator correctly handles unsorted dim list. ... ok (0.001s) 2022-11-23T02:11:54.9861066Z test_dim_multi_unsorted_nansum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9861357Z Tests that operator correctly handles unsorted dim list. ... ok (0.001s) 2022-11-23T02:11:54.9861626Z test_dim_multi_unsorted_std_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9861905Z Tests that operator correctly handles unsorted dim list. ... ok (0.001s) 2022-11-23T02:11:54.9862185Z test_dim_multi_unsorted_sum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9862453Z Tests that operator correctly handles unsorted dim list. ... ok (0.001s) 2022-11-23T02:11:54.9862734Z test_dim_multi_unsorted_var_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9863016Z Tests that operator correctly handles unsorted dim list. ... ok (0.001s) 2022-11-23T02:11:54.9863290Z test_dim_multi_unsupported_all_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9863684Z Tests that ops claiming to not support multi dim actually don't. ... ok (0.001s) 2022-11-23T02:11:54.9863980Z test_dim_multi_unsupported_any_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9864407Z Tests that ops claiming to not support multi dim actually don't. ... ok (0.001s) 2022-11-23T02:11:54.9864698Z test_dim_multi_unsupported_argmax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9865069Z Tests that ops claiming to not support multi dim actually don't. ... ok (0.001s) 2022-11-23T02:11:54.9865373Z test_dim_multi_unsupported_argmin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9865725Z Tests that ops claiming to not support multi dim actually don't. ... ok (0.001s) 2022-11-23T02:11:54.9866034Z test_dim_multi_unsupported_masked_argmax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9866445Z Tests that ops claiming to not support multi dim actually don't. ... ok (0.001s) 2022-11-23T02:11:54.9866753Z test_dim_multi_unsupported_masked_argmin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9867113Z Tests that ops claiming to not support multi dim actually don't. ... ok (0.001s) 2022-11-23T02:11:54.9867408Z test_dim_multi_unsupported_prod_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9867772Z Tests that ops claiming to not support multi dim actually don't. ... ok (0.001s) 2022-11-23T02:11:54.9868041Z test_dim_multi_var_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9868312Z Tests that dim=[i, j, ...] reduces dimensions i, j, .... ... ok (0.001s) 2022-11-23T02:11:54.9868584Z test_dim_ndim_limit_all_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9868882Z Tests that an exception is raised when reducing a tensor with more ... ok (0.007s) 2022-11-23T02:11:54.9869248Z test_dim_ndim_limit_amax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9869546Z Tests that an exception is raised when reducing a tensor with more ... ok (0.006s) 2022-11-23T02:11:54.9869845Z test_dim_ndim_limit_amin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9870130Z Tests that an exception is raised when reducing a tensor with more ... ok (0.006s) 2022-11-23T02:11:54.9870424Z test_dim_ndim_limit_any_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9870720Z Tests that an exception is raised when reducing a tensor with more ... ok (0.006s) 2022-11-23T02:11:54.9871003Z test_dim_ndim_limit_argmax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9871312Z Tests that an exception is raised when reducing a tensor with more ... ok (0.006s) 2022-11-23T02:11:54.9871612Z test_dim_ndim_limit_argmin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9871909Z Tests that an exception is raised when reducing a tensor with more ... ok (0.006s) 2022-11-23T02:11:54.9872199Z test_dim_ndim_limit_count_nonzero_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9872503Z Tests that an exception is raised when reducing a tensor with more ... ok (0.009s) 2022-11-23T02:11:54.9872812Z test_dim_ndim_limit_linalg_vector_norm_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9873108Z Tests that an exception is raised when reducing a tensor with more ... ok (0.005s) 2022-11-23T02:11:54.9873415Z test_dim_ndim_limit_masked_amax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9873717Z Tests that an exception is raised when reducing a tensor with more ... ok (0.006s) 2022-11-23T02:11:54.9874015Z test_dim_ndim_limit_masked_amin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9874296Z Tests that an exception is raised when reducing a tensor with more ... ok (0.006s) 2022-11-23T02:11:54.9874600Z test_dim_ndim_limit_masked_argmax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9874908Z Tests that an exception is raised when reducing a tensor with more ... ok (0.006s) 2022-11-23T02:11:54.9875197Z test_dim_ndim_limit_masked_argmin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9875500Z Tests that an exception is raised when reducing a tensor with more ... ok (0.006s) 2022-11-23T02:11:54.9875805Z test_dim_ndim_limit_masked_logsumexp_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9876113Z Tests that an exception is raised when reducing a tensor with more ... ok (0.009s) 2022-11-23T02:11:54.9876432Z test_dim_ndim_limit_masked_mean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9876732Z Tests that an exception is raised when reducing a tensor with more ... ok (0.006s) 2022-11-23T02:11:54.9877027Z test_dim_ndim_limit_masked_norm_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9877311Z Tests that an exception is raised when reducing a tensor with more ... ok (0.005s) 2022-11-23T02:11:54.9877610Z test_dim_ndim_limit_masked_prod_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9877905Z Tests that an exception is raised when reducing a tensor with more ... ok (0.006s) 2022-11-23T02:11:54.9878204Z test_dim_ndim_limit_masked_std_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9878520Z Tests that an exception is raised when reducing a tensor with more ... ok (0.006s) 2022-11-23T02:11:54.9878810Z test_dim_ndim_limit_masked_sum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9879102Z Tests that an exception is raised when reducing a tensor with more ... ok (0.006s) 2022-11-23T02:11:54.9879388Z test_dim_ndim_limit_masked_var_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9879675Z Tests that an exception is raised when reducing a tensor with more ... ok (0.006s) 2022-11-23T02:11:54.9879961Z test_dim_ndim_limit_mean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9880236Z Tests that an exception is raised when reducing a tensor with more ... ok (0.006s) 2022-11-23T02:11:54.9880528Z test_dim_ndim_limit_nanmean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9880822Z Tests that an exception is raised when reducing a tensor with more ... ok (0.008s) 2022-11-23T02:11:54.9881112Z test_dim_ndim_limit_nansum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9881394Z Tests that an exception is raised when reducing a tensor with more ... ok (0.005s) 2022-11-23T02:11:54.9881683Z test_dim_ndim_limit_prod_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9881978Z Tests that an exception is raised when reducing a tensor with more ... ok (0.006s) 2022-11-23T02:11:54.9882258Z test_dim_ndim_limit_std_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9882546Z Tests that an exception is raised when reducing a tensor with more ... ok (0.007s) 2022-11-23T02:11:54.9882831Z test_dim_ndim_limit_sum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9883121Z Tests that an exception is raised when reducing a tensor with more ... ok (0.006s) 2022-11-23T02:11:54.9883391Z test_dim_ndim_limit_var_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9883679Z Tests that an exception is raised when reducing a tensor with more ... ok (0.007s) 2022-11-23T02:11:54.9883962Z test_dim_none_all_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9884228Z Tests that dim=None reduces all dimensions. ... expected failure (0.003s) 2022-11-23T02:11:54.9884508Z test_dim_none_amax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9884769Z Tests that dim=None reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9885012Z test_dim_none_amin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9885271Z Tests that dim=None reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9885523Z test_dim_none_any_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9885796Z Tests that dim=None reduces all dimensions. ... expected failure (0.003s) 2022-11-23T02:11:54.9886062Z test_dim_none_argmax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9886324Z Tests that dim=None reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9886581Z test_dim_none_argmin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9886829Z Tests that dim=None reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9887097Z test_dim_none_count_nonzero_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9887372Z Tests that dim=None reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9887627Z test_dim_none_keepdim_all_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9887945Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... expected failure (0.003s) 2022-11-23T02:11:54.9888285Z test_dim_none_keepdim_amax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9888585Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9888870Z test_dim_none_keepdim_amin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9889167Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9889462Z test_dim_none_keepdim_any_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9889765Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... expected failure (0.003s) 2022-11-23T02:11:54.9890080Z test_dim_none_keepdim_argmax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9890432Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... skip: Skipped! (0.000s) 2022-11-23T02:11:54.9890744Z test_dim_none_keepdim_argmin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9891049Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... skip: Skipped! (0.000s) 2022-11-23T02:11:54.9891366Z test_dim_none_keepdim_count_nonzero_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9891689Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... skip: Skipped! (0.000s) 2022-11-23T02:11:54.9892005Z test_dim_none_keepdim_linalg_vector_norm_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9892323Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9892629Z test_dim_none_keepdim_masked_amax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9892938Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9893232Z test_dim_none_keepdim_masked_amin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9893543Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9893849Z test_dim_none_keepdim_masked_argmax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9894144Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9894451Z test_dim_none_keepdim_masked_argmin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9894755Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9895064Z test_dim_none_keepdim_masked_logsumexp_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9895362Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9895661Z test_dim_none_keepdim_masked_mean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9895972Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... ok (0.002s) 2022-11-23T02:11:54.9896261Z test_dim_none_keepdim_masked_norm_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9896565Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9896879Z test_dim_none_keepdim_masked_prod_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9897183Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9897474Z test_dim_none_keepdim_masked_std_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9897773Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... ok (0.002s) 2022-11-23T02:11:54.9898075Z test_dim_none_keepdim_masked_sum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9898360Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9898659Z test_dim_none_keepdim_masked_var_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9899167Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... ok (0.002s) 2022-11-23T02:11:54.9899463Z test_dim_none_keepdim_mean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9899745Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9900110Z test_dim_none_keepdim_nanmean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9900418Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9900701Z test_dim_none_keepdim_nansum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9900999Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9901299Z test_dim_none_keepdim_prod_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9901619Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... skip: Skipped! (0.000s) 2022-11-23T02:11:54.9901980Z test_dim_none_keepdim_std_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9902275Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9902572Z test_dim_none_keepdim_sum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9902859Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9903162Z test_dim_none_keepdim_var_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9903457Z Tests that dim=None, when keepdim=True, reduces all dimensions to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9903767Z test_dim_none_linalg_vector_norm_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9904032Z Tests that dim=None reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9904300Z test_dim_none_masked_amax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9904567Z Tests that dim=None reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9904822Z test_dim_none_masked_amin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9905085Z Tests that dim=None reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9905361Z test_dim_none_masked_argmax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9905618Z Tests that dim=None reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9905887Z test_dim_none_masked_argmin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9906151Z Tests that dim=None reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9906420Z test_dim_none_masked_logsumexp_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9906678Z Tests that dim=None reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9906944Z test_dim_none_masked_mean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9907207Z Tests that dim=None reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9907459Z test_dim_none_masked_norm_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9907723Z Tests that dim=None reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9907989Z test_dim_none_masked_prod_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9908238Z Tests that dim=None reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9908497Z test_dim_none_masked_std_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9908753Z Tests that dim=None reduces all dimensions. ... ok (0.002s) 2022-11-23T02:11:54.9909000Z test_dim_none_masked_sum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9909333Z Tests that dim=None reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9909594Z test_dim_none_masked_var_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9909852Z Tests that dim=None reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9910092Z test_dim_none_mean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9910348Z Tests that dim=None reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9910607Z test_dim_none_nanmean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9910856Z Tests that dim=None reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9911111Z test_dim_none_nansum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9911370Z Tests that dim=None reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9911610Z test_dim_none_prod_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9911918Z Tests that dim=None reduces all dimensions. ... skip: Skipped! (0.000s) 2022-11-23T02:11:54.9912195Z test_dim_none_std_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9912455Z Tests that dim=None reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9912697Z test_dim_none_sum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9912959Z Tests that dim=None reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9913214Z test_dim_none_var_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9913461Z Tests that dim=None reduces all dimensions. ... ok (0.001s) 2022-11-23T02:11:54.9913727Z test_dim_offbounds_all_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9914104Z Tests that passing an off-bounds dim throws ... ok (0.005s) 2022-11-23T02:11:54.9914366Z test_dim_offbounds_amax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9914690Z Tests that passing an off-bounds dim throws ... ok (0.005s) 2022-11-23T02:11:54.9914965Z test_dim_offbounds_amin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9915287Z Tests that passing an off-bounds dim throws ... ok (0.005s) 2022-11-23T02:11:54.9915541Z test_dim_offbounds_any_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9915860Z Tests that passing an off-bounds dim throws ... ok (0.005s) 2022-11-23T02:11:54.9916129Z test_dim_offbounds_argmax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9916440Z Tests that passing an off-bounds dim throws ... ok (0.005s) 2022-11-23T02:11:54.9916709Z test_dim_offbounds_argmin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9917030Z Tests that passing an off-bounds dim throws ... ok (0.005s) 2022-11-23T02:11:54.9917294Z test_dim_offbounds_count_nonzero_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9917632Z Tests that passing an off-bounds dim throws ... ok (0.008s) 2022-11-23T02:11:54.9917916Z test_dim_offbounds_linalg_vector_norm_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9918251Z Tests that passing an off-bounds dim throws ... ok (0.005s) 2022-11-23T02:11:54.9918514Z test_dim_offbounds_masked_amax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9918842Z Tests that passing an off-bounds dim throws ... ok (0.001s) 2022-11-23T02:11:54.9919118Z test_dim_offbounds_masked_amin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9919424Z Tests that passing an off-bounds dim throws ... ok (0.001s) 2022-11-23T02:11:54.9919702Z test_dim_offbounds_masked_argmax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9920035Z Tests that passing an off-bounds dim throws ... ok (0.005s) 2022-11-23T02:11:54.9920298Z test_dim_offbounds_masked_argmin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9920621Z Tests that passing an off-bounds dim throws ... ok (0.005s) 2022-11-23T02:11:54.9920905Z test_dim_offbounds_masked_logsumexp_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9921242Z Tests that passing an off-bounds dim throws ... ok (0.001s) 2022-11-23T02:11:54.9921505Z test_dim_offbounds_masked_mean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9921836Z Tests that passing an off-bounds dim throws ... ok (0.001s) 2022-11-23T02:11:54.9922112Z test_dim_offbounds_masked_norm_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9922426Z Tests that passing an off-bounds dim throws ... ok (0.001s) 2022-11-23T02:11:54.9922694Z test_dim_offbounds_masked_prod_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9923022Z Tests that passing an off-bounds dim throws ... ok (0.001s) 2022-11-23T02:11:54.9923281Z test_dim_offbounds_masked_std_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9923607Z Tests that passing an off-bounds dim throws ... ok (0.001s) 2022-11-23T02:11:54.9923875Z test_dim_offbounds_masked_sum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9924199Z Tests that passing an off-bounds dim throws ... ok (0.001s) 2022-11-23T02:11:54.9924453Z test_dim_offbounds_masked_var_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9924773Z Tests that passing an off-bounds dim throws ... ok (0.001s) 2022-11-23T02:11:54.9925074Z test_dim_offbounds_mean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9925380Z Tests that passing an off-bounds dim throws ... ok (0.005s) 2022-11-23T02:11:54.9925649Z test_dim_offbounds_nanmean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9925973Z Tests that passing an off-bounds dim throws ... ok (0.006s) 2022-11-23T02:11:54.9926231Z test_dim_offbounds_nansum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9926548Z Tests that passing an off-bounds dim throws ... ok (0.005s) 2022-11-23T02:11:54.9926811Z test_dim_offbounds_prod_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9927124Z Tests that passing an off-bounds dim throws ... ok (0.005s) 2022-11-23T02:11:54.9927407Z test_dim_offbounds_std_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9927722Z Tests that passing an off-bounds dim throws ... ok (0.007s) 2022-11-23T02:11:54.9927982Z test_dim_offbounds_sum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9928283Z Tests that passing an off-bounds dim throws ... ok (0.005s) 2022-11-23T02:11:54.9928543Z test_dim_offbounds_var_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9928860Z Tests that passing an off-bounds dim throws ... ok (0.007s) 2022-11-23T02:11:54.9929607Z test_dim_reduction_cpu_bfloat16 (__main__.TestReductionsCPU) ... test_reductions.py:1940: UserWarning: An output with one or more elements was resized since it had shape [2, 3], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T02:11:54.9930251Z torch.sum(x, 0, out=y) 2022-11-23T02:11:54.9930427Z ok (0.029s) 2022-11-23T02:11:54.9930662Z test_dim_reduction_cpu_float16 (__main__.TestReductionsCPU) ... ok (0.029s) 2022-11-23T02:11:54.9930961Z test_dim_reduction_cpu_float32 (__main__.TestReductionsCPU) ... ok (0.028s) 2022-11-23T02:11:54.9931249Z test_dim_reduction_cpu_float64 (__main__.TestReductionsCPU) ... ok (0.028s) 2022-11-23T02:11:54.9931546Z test_dim_reduction_cpu_int16 (__main__.TestReductionsCPU) ... ok (0.026s) 2022-11-23T02:11:54.9931843Z test_dim_reduction_cpu_int32 (__main__.TestReductionsCPU) ... ok (0.026s) 2022-11-23T02:11:54.9932124Z test_dim_reduction_cpu_int64 (__main__.TestReductionsCPU) ... ok (0.026s) 2022-11-23T02:11:54.9932428Z test_dim_reduction_cpu_int8 (__main__.TestReductionsCPU) ... ok (0.026s) 2022-11-23T02:11:54.9932741Z test_dim_reduction_lastdim_cpu_bfloat16 (__main__.TestReductionsCPU) ... ok (0.002s) 2022-11-23T02:11:54.9933066Z test_dim_reduction_lastdim_cpu_float32 (__main__.TestReductionsCPU) ... ok (0.002s) 2022-11-23T02:11:54.9933367Z test_dim_reduction_less_than_64_cpu (__main__.TestReductionsCPU) ... ok (0.092s) 2022-11-23T02:11:54.9933649Z test_dim_single_all_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9933909Z Tests that dim=i reduces dimension i. ... ok (0.002s) 2022-11-23T02:11:54.9934158Z test_dim_single_amax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9934424Z Tests that dim=i reduces dimension i. ... ok (0.001s) 2022-11-23T02:11:54.9934679Z test_dim_single_amin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9934924Z Tests that dim=i reduces dimension i. ... ok (0.001s) 2022-11-23T02:11:54.9935177Z test_dim_single_any_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9935425Z Tests that dim=i reduces dimension i. ... ok (0.001s) 2022-11-23T02:11:54.9935669Z test_dim_single_argmax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9935920Z Tests that dim=i reduces dimension i. ... ok (0.001s) 2022-11-23T02:11:54.9936177Z test_dim_single_argmin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9936431Z Tests that dim=i reduces dimension i. ... ok (0.001s) 2022-11-23T02:11:54.9936682Z test_dim_single_count_nonzero_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9936977Z Tests that dim=i reduces dimension i. ... ok (0.001s) 2022-11-23T02:11:54.9937245Z test_dim_single_keepdim_all_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9937531Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9937828Z test_dim_single_keepdim_amax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9938122Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9938415Z test_dim_single_keepdim_amin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9938695Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9939158Z test_dim_single_keepdim_any_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9939452Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9939734Z test_dim_single_keepdim_argmax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9940032Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9940327Z test_dim_single_keepdim_argmin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9940614Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9940916Z test_dim_single_keepdim_count_nonzero_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9941236Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... skip: Skipped! (0.001s) 2022-11-23T02:11:54.9941564Z test_dim_single_keepdim_linalg_vector_norm_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9941859Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9942168Z test_dim_single_keepdim_masked_amax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9942467Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.002s) 2022-11-23T02:11:54.9942753Z test_dim_single_keepdim_masked_amin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9943060Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.002s) 2022-11-23T02:11:54.9943368Z test_dim_single_keepdim_masked_argmax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9943673Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.002s) 2022-11-23T02:11:54.9943962Z test_dim_single_keepdim_masked_argmin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9944263Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.002s) 2022-11-23T02:11:54.9944567Z test_dim_single_keepdim_masked_logsumexp_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9944863Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.002s) 2022-11-23T02:11:54.9945162Z test_dim_single_keepdim_masked_mean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9945464Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.002s) 2022-11-23T02:11:54.9945764Z test_dim_single_keepdim_masked_norm_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9946053Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.002s) 2022-11-23T02:11:54.9946352Z test_dim_single_keepdim_masked_prod_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9946655Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.002s) 2022-11-23T02:11:54.9946942Z test_dim_single_keepdim_masked_std_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9947240Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.002s) 2022-11-23T02:11:54.9947537Z test_dim_single_keepdim_masked_sum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9947834Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.002s) 2022-11-23T02:11:54.9948117Z test_dim_single_keepdim_masked_var_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9948421Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.002s) 2022-11-23T02:11:54.9948780Z test_dim_single_keepdim_mean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9949069Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9949436Z test_dim_single_keepdim_nanmean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9949739Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.002s) 2022-11-23T02:11:54.9950033Z test_dim_single_keepdim_nansum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9950314Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9950604Z test_dim_single_keepdim_prod_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9950948Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9951228Z test_dim_single_keepdim_std_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9951517Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9951813Z test_dim_single_keepdim_sum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9952090Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9952378Z test_dim_single_keepdim_var_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9952665Z Tests that dim=i, when keepdim=True, reduces dimension i to size 1. ... ok (0.001s) 2022-11-23T02:11:54.9952960Z test_dim_single_linalg_vector_norm_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9953220Z Tests that dim=i reduces dimension i. ... ok (0.001s) 2022-11-23T02:11:54.9953486Z test_dim_single_masked_amax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9953747Z Tests that dim=i reduces dimension i. ... ok (0.001s) 2022-11-23T02:11:54.9953996Z test_dim_single_masked_amin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9954251Z Tests that dim=i reduces dimension i. ... ok (0.001s) 2022-11-23T02:11:54.9954510Z test_dim_single_masked_argmax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9954777Z Tests that dim=i reduces dimension i. ... ok (0.001s) 2022-11-23T02:11:54.9955026Z test_dim_single_masked_argmin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9955290Z Tests that dim=i reduces dimension i. ... ok (0.001s) 2022-11-23T02:11:54.9955562Z test_dim_single_masked_logsumexp_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9955816Z Tests that dim=i reduces dimension i. ... ok (0.002s) 2022-11-23T02:11:54.9956078Z test_dim_single_masked_mean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9956339Z Tests that dim=i reduces dimension i. ... ok (0.002s) 2022-11-23T02:11:54.9956590Z test_dim_single_masked_norm_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9956852Z Tests that dim=i reduces dimension i. ... ok (0.001s) 2022-11-23T02:11:54.9957116Z test_dim_single_masked_prod_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9957365Z Tests that dim=i reduces dimension i. ... ok (0.001s) 2022-11-23T02:11:54.9957628Z test_dim_single_masked_std_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9957888Z Tests that dim=i reduces dimension i. ... ok (0.002s) 2022-11-23T02:11:54.9958150Z test_dim_single_masked_sum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9958397Z Tests that dim=i reduces dimension i. ... ok (0.002s) 2022-11-23T02:11:54.9958661Z test_dim_single_masked_var_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9958924Z Tests that dim=i reduces dimension i. ... ok (0.002s) 2022-11-23T02:11:54.9959165Z test_dim_single_mean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9959421Z Tests that dim=i reduces dimension i. ... ok (0.001s) 2022-11-23T02:11:54.9959691Z test_dim_single_nanmean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9959938Z Tests that dim=i reduces dimension i. ... ok (0.001s) 2022-11-23T02:11:54.9960196Z test_dim_single_nansum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9960454Z Tests that dim=i reduces dimension i. ... ok (0.001s) 2022-11-23T02:11:54.9960710Z test_dim_single_prod_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9960981Z Tests that dim=i reduces dimension i. ... ok (0.001s) 2022-11-23T02:11:54.9961240Z test_dim_single_std_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9961498Z Tests that dim=i reduces dimension i. ... ok (0.001s) 2022-11-23T02:11:54.9961739Z test_dim_single_sum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9961994Z Tests that dim=i reduces dimension i. ... ok (0.001s) 2022-11-23T02:11:54.9962251Z test_dim_single_var_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9962493Z Tests that dim=i reduces dimension i. ... ok (0.001s) 2022-11-23T02:11:54.9962765Z test_empty_tensor_empty_slice_all_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9963098Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.001s) 2022-11-23T02:11:54.9963401Z test_empty_tensor_empty_slice_amax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9963692Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.011s) 2022-11-23T02:11:54.9963991Z test_empty_tensor_empty_slice_amin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9964292Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.011s) 2022-11-23T02:11:54.9964578Z test_empty_tensor_empty_slice_any_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9964876Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.001s) 2022-11-23T02:11:54.9965179Z test_empty_tensor_empty_slice_argmax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9965468Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.001s) 2022-11-23T02:11:54.9965774Z test_empty_tensor_empty_slice_argmin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9966082Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.001s) 2022-11-23T02:11:54.9966392Z test_empty_tensor_empty_slice_count_nonzero_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9966693Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.002s) 2022-11-23T02:11:54.9967012Z test_empty_tensor_empty_slice_linalg_vector_norm_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9967323Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.002s) 2022-11-23T02:11:54.9967615Z test_empty_tensor_empty_slice_masked_amax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9967918Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.011s) 2022-11-23T02:11:54.9968226Z test_empty_tensor_empty_slice_masked_amin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9968531Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.011s) 2022-11-23T02:11:54.9968828Z test_empty_tensor_empty_slice_masked_argmax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9969136Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.002s) 2022-11-23T02:11:54.9969443Z test_empty_tensor_empty_slice_masked_argmin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9969741Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.001s) 2022-11-23T02:11:54.9970050Z test_empty_tensor_empty_slice_masked_logsumexp_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9970376Z Tests for consistent behavior when reducing over an empty slice. ... skip: Skipped! (0.001s) 2022-11-23T02:11:54.9970700Z test_empty_tensor_empty_slice_masked_mean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9970991Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.002s) 2022-11-23T02:11:54.9971292Z test_empty_tensor_empty_slice_masked_norm_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9971596Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.002s) 2022-11-23T02:11:54.9971888Z test_empty_tensor_empty_slice_masked_prod_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9972192Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.002s) 2022-11-23T02:11:54.9972556Z test_empty_tensor_empty_slice_masked_std_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9972865Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.002s) 2022-11-23T02:11:54.9973155Z test_empty_tensor_empty_slice_masked_sum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9973453Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.002s) 2022-11-23T02:11:54.9973757Z test_empty_tensor_empty_slice_masked_var_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9974056Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.002s) 2022-11-23T02:11:54.9974357Z test_empty_tensor_empty_slice_mean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9974683Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.002s) 2022-11-23T02:11:54.9974981Z test_empty_tensor_empty_slice_nanmean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9975271Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.002s) 2022-11-23T02:11:54.9975572Z test_empty_tensor_empty_slice_nansum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9975875Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.002s) 2022-11-23T02:11:54.9976159Z test_empty_tensor_empty_slice_prod_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9976458Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.001s) 2022-11-23T02:11:54.9976753Z test_empty_tensor_empty_slice_std_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9977049Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.002s) 2022-11-23T02:11:54.9977330Z test_empty_tensor_empty_slice_sum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9977631Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.002s) 2022-11-23T02:11:54.9977926Z test_empty_tensor_empty_slice_var_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9978215Z Tests for consistent behavior when reducing over an empty slice. ... ok (0.002s) 2022-11-23T02:11:54.9978517Z test_empty_tensor_nonempty_slice_all_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9978973Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.001s) 2022-11-23T02:11:54.9979289Z test_empty_tensor_nonempty_slice_amax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9979583Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.001s) 2022-11-23T02:11:54.9979885Z test_empty_tensor_nonempty_slice_amin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9980194Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.001s) 2022-11-23T02:11:54.9980494Z test_empty_tensor_nonempty_slice_any_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9980798Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.001s) 2022-11-23T02:11:54.9981105Z test_empty_tensor_nonempty_slice_argmax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9981404Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.001s) 2022-11-23T02:11:54.9981711Z test_empty_tensor_nonempty_slice_argmin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9982022Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.001s) 2022-11-23T02:11:54.9982343Z test_empty_tensor_nonempty_slice_count_nonzero_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9982643Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.001s) 2022-11-23T02:11:54.9982957Z test_empty_tensor_nonempty_slice_linalg_vector_norm_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9983277Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.001s) 2022-11-23T02:11:54.9983590Z test_empty_tensor_nonempty_slice_masked_amax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9983889Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.001s) 2022-11-23T02:11:54.9984256Z test_empty_tensor_nonempty_slice_masked_amin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9984574Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.001s) 2022-11-23T02:11:54.9984879Z test_empty_tensor_nonempty_slice_masked_argmax_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9985192Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.001s) 2022-11-23T02:11:54.9985508Z test_empty_tensor_nonempty_slice_masked_argmin_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9985824Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.001s) 2022-11-23T02:11:54.9986129Z test_empty_tensor_nonempty_slice_masked_logsumexp_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9986496Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.001s) 2022-11-23T02:11:54.9986805Z test_empty_tensor_nonempty_slice_masked_mean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9987103Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.001s) 2022-11-23T02:11:54.9987416Z test_empty_tensor_nonempty_slice_masked_norm_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9987731Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.001s) 2022-11-23T02:11:54.9988045Z test_empty_tensor_nonempty_slice_masked_prod_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9988346Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.001s) 2022-11-23T02:11:54.9988657Z test_empty_tensor_nonempty_slice_masked_std_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9988967Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.002s) 2022-11-23T02:11:54.9989343Z test_empty_tensor_nonempty_slice_masked_sum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9989653Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.001s) 2022-11-23T02:11:54.9989963Z test_empty_tensor_nonempty_slice_masked_var_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9990278Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.002s) 2022-11-23T02:11:54.9990570Z test_empty_tensor_nonempty_slice_mean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9990874Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.001s) 2022-11-23T02:11:54.9991179Z test_empty_tensor_nonempty_slice_nanmean_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9991475Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.001s) 2022-11-23T02:11:54.9991781Z test_empty_tensor_nonempty_slice_nansum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9992091Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.001s) 2022-11-23T02:11:54.9992386Z test_empty_tensor_nonempty_slice_prod_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9992687Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.001s) 2022-11-23T02:11:54.9992992Z test_empty_tensor_nonempty_slice_std_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9993291Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.001s) 2022-11-23T02:11:54.9993585Z test_empty_tensor_nonempty_slice_sum_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9993893Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.001s) 2022-11-23T02:11:54.9994191Z test_empty_tensor_nonempty_slice_var_cpu (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9994487Z Tests that reducing a nonempty slice of an empty tensor returns an ... ok (0.001s) 2022-11-23T02:11:54.9994782Z test_histc_bfloat16_cpu (__main__.TestReductionsCPU) ... ok (0.001s) 2022-11-23T02:11:54.9995063Z test_histc_cpu (__main__.TestReductionsCPU) ... ok (0.032s) 2022-11-23T02:11:54.9995632Z test_histogram_cpu_float32 (__main__.TestReductionsCPU) ... /opt/conda/lib/python3.7/site-packages/numpy/lib/histograms.py:908: RuntimeWarning: invalid value encountered in true_divide 2022-11-23T02:11:54.9995980Z return n/db/n.sum(), bin_edges 2022-11-23T02:11:54.9996197Z ok (8.109s) 2022-11-23T02:11:54.9996455Z test_histogram_error_handling_cpu_float32 (__main__.TestReductionsCPU) ... ok (0.051s) 2022-11-23T02:11:54.9997011Z test_histogramdd_cpu_float32 (__main__.TestReductionsCPU) ... /opt/conda/lib/python3.7/site-packages/numpy/lib/histograms.py:1118: RuntimeWarning: invalid value encountered in true_divide 2022-11-23T02:11:54.9997354Z hist /= s 2022-11-23T02:11:54.9997513Z ok (19.853s) 2022-11-23T02:11:54.9997735Z test_identity_all_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9998015Z Tests that the identity value is an identity for the operator ... ok (0.002s) 2022-11-23T02:11:54.9998335Z test_identity_all_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9998616Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:54.9998896Z test_identity_all_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9999187Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:54.9999474Z test_identity_all_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:54.9999762Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0000036Z test_identity_all_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0000323Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0000604Z test_identity_all_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0000877Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0001163Z test_identity_all_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0001459Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0001730Z test_identity_all_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0002015Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0002304Z test_identity_all_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0002589Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0002858Z test_identity_all_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0003140Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0003421Z test_identity_all_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0003692Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0003978Z test_identity_all_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0004264Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0004550Z test_identity_any_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0004822Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0005107Z test_identity_any_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0005391Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0005666Z test_identity_any_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0005959Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0006247Z test_identity_any_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0006524Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0006808Z test_identity_any_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0007099Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0007383Z test_identity_any_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0007652Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0007936Z test_identity_any_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0008242Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0008512Z test_identity_any_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0008801Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0009081Z test_identity_any_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0009356Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0009636Z test_identity_any_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0009919Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0010225Z test_identity_any_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0010495Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0010771Z test_identity_any_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0011053Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0011334Z test_identity_count_nonzero_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0011629Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0011917Z test_identity_count_nonzero_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0012211Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0012494Z test_identity_count_nonzero_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0012791Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0013091Z test_identity_count_nonzero_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0013378Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0013671Z test_identity_count_nonzero_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0013967Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0014259Z test_identity_count_nonzero_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0014540Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0014831Z test_identity_count_nonzero_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0015122Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0015409Z test_identity_count_nonzero_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0015703Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0015995Z test_identity_count_nonzero_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0016276Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0016565Z test_identity_count_nonzero_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0016859Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0017149Z test_identity_count_nonzero_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0017431Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0017724Z test_identity_count_nonzero_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0018023Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0018311Z test_identity_linalg_vector_norm_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0018614Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0019059Z test_identity_linalg_vector_norm_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0019365Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0019653Z test_identity_linalg_vector_norm_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0020014Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0020320Z test_identity_linalg_vector_norm_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0020609Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0020908Z test_identity_linalg_vector_norm_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0021204Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0021500Z test_identity_linalg_vector_norm_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0021831Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0022119Z test_identity_masked_norm_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0022412Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0022696Z test_identity_masked_norm_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0022990Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0023281Z test_identity_masked_norm_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0023568Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0023844Z test_identity_masked_norm_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0024133Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0024425Z test_identity_masked_prod_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0024707Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0024986Z test_identity_masked_prod_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0025274Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0025560Z test_identity_masked_prod_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0025854Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0026149Z test_identity_masked_prod_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0026443Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0026727Z test_identity_masked_prod_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0027026Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0027317Z test_identity_masked_prod_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0027602Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0027889Z test_identity_masked_prod_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0028179Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0028467Z test_identity_masked_prod_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0028747Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0029033Z test_identity_masked_prod_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0029398Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0029677Z test_identity_masked_prod_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0029815Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0029944Z test_identity_masked_prod_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0030084Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0030217Z test_identity_masked_sum_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0030354Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0030481Z test_identity_masked_sum_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0030656Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0030782Z test_identity_masked_sum_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0030920Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0031055Z test_identity_masked_sum_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0031188Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0031317Z test_identity_masked_sum_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0031481Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0031612Z test_identity_masked_sum_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0031749Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0031871Z test_identity_masked_sum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0032009Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0032141Z test_identity_masked_sum_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0032275Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0032405Z test_identity_masked_sum_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0032537Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0032663Z test_identity_masked_sum_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0032801Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0032915Z test_identity_masked_sum_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0033049Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0033177Z test_identity_masked_sum_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0033314Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0033442Z test_identity_nansum_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0033577Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0033702Z test_identity_nansum_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0033824Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0033950Z test_identity_nansum_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0034081Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0034208Z test_identity_nansum_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0034342Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0034466Z test_identity_nansum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0034604Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0034730Z test_identity_nansum_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0034852Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0034974Z test_identity_nansum_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0035108Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0035229Z test_identity_nansum_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0035359Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0035485Z test_identity_nansum_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0035616Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0035740Z test_identity_nansum_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0035888Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0036016Z test_identity_prod_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0036149Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0036271Z test_identity_prod_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0036401Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0036530Z test_identity_prod_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0036665Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0036822Z test_identity_prod_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0036941Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0037063Z test_identity_prod_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0037199Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0037322Z test_identity_prod_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0037455Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0037578Z test_identity_prod_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0037712Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0037833Z test_identity_prod_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0037954Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0038078Z test_identity_prod_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0038216Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0038338Z test_identity_prod_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0038473Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0038596Z test_identity_prod_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0038737Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0038862Z test_identity_sum_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0038983Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0039108Z test_identity_sum_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0039246Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0039373Z test_identity_sum_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0039511Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0039638Z test_identity_sum_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0039770Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0039882Z test_identity_sum_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0040018Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0040141Z test_identity_sum_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0040278Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0040402Z test_identity_sum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0040537Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0040656Z test_identity_sum_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0040788Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0040898Z test_identity_sum_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0041036Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0041158Z test_identity_sum_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0041320Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0041440Z test_identity_sum_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0041576Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0041696Z test_identity_sum_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0041841Z Tests that the identity value is an identity for the operator ... ok (0.001s) 2022-11-23T02:11:55.0041958Z test_logsumexp_cpu (__main__.TestReductionsCPU) ... ok (0.003s) 2022-11-23T02:11:55.0042091Z test_logsumexp_dim_cpu (__main__.TestReductionsCPU) ... ok (0.461s) 2022-11-23T02:11:55.0042247Z test_max_cpu_bool (__main__.TestReductionsCPU) ... ok (0.003s) 2022-11-23T02:11:55.0042374Z test_max_cpu_float16 (__main__.TestReductionsCPU) ... ok (0.004s) 2022-11-23T02:11:55.0042500Z test_max_cpu_float32 (__main__.TestReductionsCPU) ... ok (0.003s) 2022-11-23T02:11:55.0042622Z test_max_cpu_float64 (__main__.TestReductionsCPU) ... ok (0.003s) 2022-11-23T02:11:55.0042746Z test_max_cpu_int64 (__main__.TestReductionsCPU) ... ok (0.002s) 2022-11-23T02:11:55.0042884Z test_max_elementwise_cpu (__main__.TestReductionsCPU) ... ok (0.003s) 2022-11-23T02:11:55.0043010Z test_max_mixed_devices_cpu (__main__.TestReductionsCPU) ... ok (0.001s) 2022-11-23T02:11:55.0043146Z test_max_with_inf_cpu_bfloat16 (__main__.TestReductionsCPU) ... ok (0.001s) 2022-11-23T02:11:55.0043284Z test_max_with_inf_cpu_float16 (__main__.TestReductionsCPU) ... ok (0.001s) 2022-11-23T02:11:55.0043421Z test_max_with_inf_cpu_float32 (__main__.TestReductionsCPU) ... ok (0.001s) 2022-11-23T02:11:55.0043561Z test_max_with_inf_cpu_float64 (__main__.TestReductionsCPU) ... ok (0.001s) 2022-11-23T02:11:55.0043687Z test_mean_dim_cpu (__main__.TestReductionsCPU) ... ok (13.233s) 2022-11-23T02:11:55.0043832Z test_mean_int_with_optdtype_cpu (__main__.TestReductionsCPU) ... ok (0.001s) 2022-11-23T02:11:55.0043973Z test_median_corner_cases_cpu (__main__.TestReductionsCPU) ... ok (0.007s) 2022-11-23T02:11:55.0044378Z test_median_nan_values_cpu_float32 (__main__.TestReductionsCPU) ... /opt/conda/lib/python3.7/site-packages/numpy/lib/nanfunctions.py:1116: RuntimeWarning: All-NaN slice encountered 2022-11-23T02:11:55.0044474Z overwrite_input=overwrite_input) 2022-11-23T02:11:55.0044541Z ok (0.044s) 2022-11-23T02:11:55.0044691Z test_median_nan_values_cpu_float64 (__main__.TestReductionsCPU) ... ok (0.042s) 2022-11-23T02:11:55.0044843Z test_median_real_values_cpu_float32 (__main__.TestReductionsCPU) ... ok (0.022s) 2022-11-23T02:11:55.0044987Z test_median_real_values_cpu_float64 (__main__.TestReductionsCPU) ... ok (0.021s) 2022-11-23T02:11:55.0045138Z test_median_real_values_cpu_int32 (__main__.TestReductionsCPU) ... ok (0.016s) 2022-11-23T02:11:55.0045287Z test_median_real_values_cpu_int64 (__main__.TestReductionsCPU) ... ok (0.015s) 2022-11-23T02:11:55.0045400Z test_min_cpu_bool (__main__.TestReductionsCPU) ... ok (0.003s) 2022-11-23T02:11:55.0045531Z test_min_cpu_float16 (__main__.TestReductionsCPU) ... ok (0.004s) 2022-11-23T02:11:55.0045657Z test_min_cpu_float32 (__main__.TestReductionsCPU) ... ok (0.004s) 2022-11-23T02:11:55.0045786Z test_min_cpu_float64 (__main__.TestReductionsCPU) ... ok (0.004s) 2022-11-23T02:11:55.0045911Z test_min_cpu_int64 (__main__.TestReductionsCPU) ... ok (0.003s) 2022-11-23T02:11:55.0046050Z test_min_elementwise_cpu (__main__.TestReductionsCPU) ... ok (0.003s) 2022-11-23T02:11:55.0046203Z test_min_max_nan_cpu (__main__.TestReductionsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:11:55.0046342Z test_min_mixed_devices_cpu (__main__.TestReductionsCPU) ... ok (0.001s) 2022-11-23T02:11:55.0046469Z test_min_with_inf_cpu_bfloat16 (__main__.TestReductionsCPU) ... ok (0.001s) 2022-11-23T02:11:55.0046605Z test_min_with_inf_cpu_float16 (__main__.TestReductionsCPU) ... ok (0.001s) 2022-11-23T02:11:55.0046743Z test_min_with_inf_cpu_float32 (__main__.TestReductionsCPU) ... ok (0.001s) 2022-11-23T02:11:55.0046908Z test_min_with_inf_cpu_float64 (__main__.TestReductionsCPU) ... ok (0.001s) 2022-11-23T02:11:55.0047050Z test_minmax_illegal_dtype_cpu (__main__.TestReductionsCPU) ... ok (0.043s) 2022-11-23T02:11:55.0047200Z test_mode_boolean_cpu (__main__.TestReductionsCPU) ... tensor([9, 9, 9, 9, 9, 9, 9, 9, 9, 9]) 2022-11-23T02:11:55.0047282Z tensor([5, 5, 5, 5, 5, 5, 5, 5, 5, 5]) 2022-11-23T02:11:55.0047346Z tensor([1374, 1374, 1374, 1374]) 2022-11-23T02:11:55.0047422Z tensor([344, 344, 344, 344]) 2022-11-23T02:11:55.0047496Z tensor([2720]) 2022-11-23T02:11:55.0047567Z tensor([680]) 2022-11-23T02:11:55.0047635Z ok (0.005s) 2022-11-23T02:11:55.0047810Z test_mode_cpu_float32 (__main__.TestReductionsCPU) ... ok (0.003s) 2022-11-23T02:11:55.0047943Z test_mode_cpu_float64 (__main__.TestReductionsCPU) ... ok (0.003s) 2022-11-23T02:11:55.0048055Z test_mode_cpu_int16 (__main__.TestReductionsCPU) ... ok (0.003s) 2022-11-23T02:11:55.0048182Z test_mode_cpu_int32 (__main__.TestReductionsCPU) ... ok (0.003s) 2022-11-23T02:11:55.0048308Z test_mode_cpu_int64 (__main__.TestReductionsCPU) ... ok (0.003s) 2022-11-23T02:11:55.0048433Z test_mode_cpu_int8 (__main__.TestReductionsCPU) ... ok (0.003s) 2022-11-23T02:11:55.0048561Z test_mode_cpu_uint8 (__main__.TestReductionsCPU) ... ok (0.003s) 2022-11-23T02:11:55.0048726Z test_mode_large_cpu_bfloat16 (__main__.TestReductionsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:11:55.0048889Z test_mode_large_cpu_float16 (__main__.TestReductionsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:11:55.0049052Z test_mode_large_cpu_float32 (__main__.TestReductionsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:11:55.0049202Z test_mode_large_cpu_float64 (__main__.TestReductionsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:11:55.0049360Z test_mode_large_cpu_int16 (__main__.TestReductionsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:11:55.0049518Z test_mode_large_cpu_int32 (__main__.TestReductionsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:11:55.0049674Z test_mode_large_cpu_int64 (__main__.TestReductionsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:11:55.0049831Z test_mode_large_cpu_int8 (__main__.TestReductionsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:11:55.0049985Z test_mode_large_cpu_uint8 (__main__.TestReductionsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:11:55.0050147Z test_mode_wrong_device_cpu (__main__.TestReductionsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:11:55.0050283Z test_mode_wrong_dtype_cpu (__main__.TestReductionsCPU) ... ok (0.042s) 2022-11-23T02:11:55.0050428Z test_nan_policy_omit_nanmean_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0050541Z Tests that NaN values do not affect the result. ... ok (0.002s) 2022-11-23T02:11:55.0050679Z test_nan_policy_omit_nanmean_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0050801Z Tests that NaN values do not affect the result. ... ok (0.001s) 2022-11-23T02:11:55.0050940Z test_nan_policy_omit_nanmean_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0051061Z Tests that NaN values do not affect the result. ... ok (0.001s) 2022-11-23T02:11:55.0051192Z test_nan_policy_omit_nanmean_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0051307Z Tests that NaN values do not affect the result. ... ok (0.001s) 2022-11-23T02:11:55.0051447Z test_nan_policy_omit_nansum_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0051554Z Tests that NaN values do not affect the result. ... ok (0.001s) 2022-11-23T02:11:55.0051690Z test_nan_policy_omit_nansum_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0051815Z Tests that NaN values do not affect the result. ... ok (0.001s) 2022-11-23T02:11:55.0051949Z test_nan_policy_omit_nansum_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0052067Z Tests that NaN values do not affect the result. ... ok (0.001s) 2022-11-23T02:11:55.0052196Z test_nan_policy_omit_nansum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0052342Z Tests that NaN values do not affect the result. ... ok (0.001s) 2022-11-23T02:11:55.0052476Z test_nan_policy_propagate_amax_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0052610Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0052748Z test_nan_policy_propagate_amax_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0052881Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0053020Z test_nan_policy_propagate_amax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0053150Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0053313Z test_nan_policy_propagate_amax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0053445Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0053572Z test_nan_policy_propagate_amin_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0053705Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0053839Z test_nan_policy_propagate_amin_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0053969Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0054105Z test_nan_policy_propagate_amin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0054233Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0054367Z test_nan_policy_propagate_amin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0054493Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0054640Z test_nan_policy_propagate_linalg_vector_norm_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0054768Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0054929Z test_nan_policy_propagate_linalg_vector_norm_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0055060Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0055220Z test_nan_policy_propagate_linalg_vector_norm_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0055350Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0055504Z test_nan_policy_propagate_linalg_vector_norm_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0055630Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0055769Z test_nan_policy_propagate_linalg_vector_norm_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0055902Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0056056Z test_nan_policy_propagate_linalg_vector_norm_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0056189Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0056337Z test_nan_policy_propagate_masked_amax_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0056463Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0056610Z test_nan_policy_propagate_masked_amax_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0056742Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0056878Z test_nan_policy_propagate_masked_amax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0057007Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0057152Z test_nan_policy_propagate_masked_amax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0057280Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0057427Z test_nan_policy_propagate_masked_amin_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0057557Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0057731Z test_nan_policy_propagate_masked_amin_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0057860Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0058034Z test_nan_policy_propagate_masked_amin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0058226Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0058375Z test_nan_policy_propagate_masked_amin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0058505Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0058663Z test_nan_policy_propagate_masked_logsumexp_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0058961Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0059118Z test_nan_policy_propagate_masked_logsumexp_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0059250Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0059396Z test_nan_policy_propagate_masked_logsumexp_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0059523Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0059673Z test_nan_policy_propagate_masked_mean_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0059806Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0059959Z test_nan_policy_propagate_masked_mean_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0060089Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0060243Z test_nan_policy_propagate_masked_mean_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0060373Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0060521Z test_nan_policy_propagate_masked_mean_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0060639Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0060785Z test_nan_policy_propagate_masked_mean_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0060918Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0061065Z test_nan_policy_propagate_masked_mean_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0061194Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0061342Z test_nan_policy_propagate_masked_norm_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0061471Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0061605Z test_nan_policy_propagate_masked_norm_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0061731Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0061876Z test_nan_policy_propagate_masked_norm_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0062008Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0062153Z test_nan_policy_propagate_masked_norm_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0062281Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0062427Z test_nan_policy_propagate_masked_prod_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0062555Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0062696Z test_nan_policy_propagate_masked_prod_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0062823Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0062975Z test_nan_policy_propagate_masked_prod_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0063103Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0063252Z test_nan_policy_propagate_masked_prod_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0063432Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0063579Z test_nan_policy_propagate_masked_prod_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0063711Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0063846Z test_nan_policy_propagate_masked_std_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0063975Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0064124Z test_nan_policy_propagate_masked_std_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0064286Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0064436Z test_nan_policy_propagate_masked_std_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0064564Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0064711Z test_nan_policy_propagate_masked_std_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0064838Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0064982Z test_nan_policy_propagate_masked_std_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0065098Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0065244Z test_nan_policy_propagate_masked_sum_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0065369Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0065516Z test_nan_policy_propagate_masked_sum_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0065643Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0065789Z test_nan_policy_propagate_masked_sum_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0065916Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0066064Z test_nan_policy_propagate_masked_sum_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0066180Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0066320Z test_nan_policy_propagate_masked_sum_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0066440Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0066581Z test_nan_policy_propagate_masked_sum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0066707Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0066851Z test_nan_policy_propagate_masked_var_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0066980Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0067119Z test_nan_policy_propagate_masked_var_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0067241Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0067386Z test_nan_policy_propagate_masked_var_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0067517Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0067659Z test_nan_policy_propagate_masked_var_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0067788Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0067926Z test_nan_policy_propagate_masked_var_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0068055Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0068189Z test_nan_policy_propagate_masked_var_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0068317Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0068453Z test_nan_policy_propagate_mean_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0068579Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0068748Z test_nan_policy_propagate_mean_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0068874Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0069015Z test_nan_policy_propagate_mean_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0069214Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0069344Z test_nan_policy_propagate_mean_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0069471Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0069604Z test_nan_policy_propagate_mean_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0069764Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0069902Z test_nan_policy_propagate_mean_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0070027Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0070167Z test_nan_policy_propagate_prod_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0070294Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0070427Z test_nan_policy_propagate_prod_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0070556Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0070696Z test_nan_policy_propagate_prod_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0070823Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0070954Z test_nan_policy_propagate_prod_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0071084Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0071221Z test_nan_policy_propagate_prod_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0071349Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0071476Z test_nan_policy_propagate_std_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0071600Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0071739Z test_nan_policy_propagate_std_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0071864Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0072005Z test_nan_policy_propagate_std_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0072128Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0072265Z test_nan_policy_propagate_std_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0072390Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0072513Z test_nan_policy_propagate_std_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0072637Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0072774Z test_nan_policy_propagate_std_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0072902Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0073038Z test_nan_policy_propagate_sum_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0073164Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0073300Z test_nan_policy_propagate_sum_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0073420Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0073549Z test_nan_policy_propagate_sum_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0073679Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0073814Z test_nan_policy_propagate_sum_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0073940Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0074102Z test_nan_policy_propagate_sum_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0074233Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0074370Z test_nan_policy_propagate_sum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0074498Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0074623Z test_nan_policy_propagate_var_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0074748Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0074889Z test_nan_policy_propagate_var_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0075057Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0075194Z test_nan_policy_propagate_var_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0075319Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0075452Z test_nan_policy_propagate_var_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0075580Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0075702Z test_nan_policy_propagate_var_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0075830Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0075966Z test_nan_policy_propagate_var_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0076091Z Tests that nan is propagated to the output by default ... ok (0.001s) 2022-11-23T02:11:55.0076236Z test_nansum_complex_cpu_complex128 (__main__.TestReductionsCPU) ... ok (0.005s) 2022-11-23T02:11:55.0076383Z test_nansum_complex_cpu_complex64 (__main__.TestReductionsCPU) ... ok (0.005s) 2022-11-23T02:11:55.0076518Z test_nansum_cpu_bfloat16 (__main__.TestReductionsCPU) ... ok (0.003s) 2022-11-23T02:11:55.0076648Z test_nansum_cpu_float16 (__main__.TestReductionsCPU) ... ok (0.003s) 2022-11-23T02:11:55.0076767Z test_nansum_cpu_float32 (__main__.TestReductionsCPU) ... ok (0.003s) 2022-11-23T02:11:55.0076899Z test_nansum_cpu_float64 (__main__.TestReductionsCPU) ... ok (0.003s) 2022-11-23T02:11:55.0077027Z test_nansum_cpu_int16 (__main__.TestReductionsCPU) ... ok (0.003s) 2022-11-23T02:11:55.0077152Z test_nansum_cpu_int32 (__main__.TestReductionsCPU) ... ok (0.002s) 2022-11-23T02:11:55.0077275Z test_nansum_cpu_int64 (__main__.TestReductionsCPU) ... ok (0.002s) 2022-11-23T02:11:55.0077400Z test_nansum_cpu_int8 (__main__.TestReductionsCPU) ... ok (0.002s) 2022-11-23T02:11:55.0077524Z test_nansum_cpu_uint8 (__main__.TestReductionsCPU) ... ok (0.002s) 2022-11-23T02:11:55.0077939Z test_nansum_out_dtype_cpu_float16 (__main__.TestReductionsCPU) ... /opt/conda/lib/python3.7/site-packages/numpy/core/fromnumeric.py:90: RuntimeWarning: overflow encountered in reduce 2022-11-23T02:11:55.0078054Z return ufunc.reduce(obj, axis, dtype, out, **passkwargs) 2022-11-23T02:11:55.0078119Z ok (0.004s) 2022-11-23T02:11:55.0078262Z test_nansum_out_dtype_cpu_float32 (__main__.TestReductionsCPU) ... ok (0.003s) 2022-11-23T02:11:55.0078402Z test_nansum_out_dtype_cpu_float64 (__main__.TestReductionsCPU) ... ok (0.003s) 2022-11-23T02:11:55.0078540Z test_nansum_out_dtype_cpu_int16 (__main__.TestReductionsCPU) ... ok (0.002s) 2022-11-23T02:11:55.0078678Z test_nansum_out_dtype_cpu_int32 (__main__.TestReductionsCPU) ... ok (0.002s) 2022-11-23T02:11:55.0078814Z test_nansum_out_dtype_cpu_int64 (__main__.TestReductionsCPU) ... ok (0.002s) 2022-11-23T02:11:55.0078953Z test_nansum_out_dtype_cpu_int8 (__main__.TestReductionsCPU) ... ok (0.002s) 2022-11-23T02:11:55.0079078Z test_nansum_out_dtype_cpu_uint8 (__main__.TestReductionsCPU) ... ok (0.002s) 2022-11-23T02:11:55.0079468Z test_nansum_vs_numpy_cpu_float16 (__main__.TestReductionsCPU) ... /opt/conda/lib/python3.7/site-packages/numpy/core/fromnumeric.py:90: RuntimeWarning: invalid value encountered in reduce 2022-11-23T02:11:55.0079591Z return ufunc.reduce(obj, axis, dtype, out, **passkwargs) 2022-11-23T02:11:55.0079662Z ok (0.021s) 2022-11-23T02:11:55.0079829Z test_nansum_vs_numpy_cpu_float32 (__main__.TestReductionsCPU) ... ok (0.019s) 2022-11-23T02:11:55.0079970Z test_nansum_vs_numpy_cpu_float64 (__main__.TestReductionsCPU) ... ok (0.019s) 2022-11-23T02:11:55.0080105Z test_nansum_vs_numpy_cpu_int16 (__main__.TestReductionsCPU) ... ok (0.009s) 2022-11-23T02:11:55.0080240Z test_nansum_vs_numpy_cpu_int32 (__main__.TestReductionsCPU) ... ok (0.009s) 2022-11-23T02:11:55.0080361Z test_nansum_vs_numpy_cpu_int64 (__main__.TestReductionsCPU) ... ok (0.008s) 2022-11-23T02:11:55.0080497Z test_nansum_vs_numpy_cpu_int8 (__main__.TestReductionsCPU) ... ok (0.009s) 2022-11-23T02:11:55.0080656Z test_nansum_vs_numpy_cpu_uint8 (__main__.TestReductionsCPU) ... ok (0.002s) 2022-11-23T02:11:55.0080795Z test_noncontiguous_all_all_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0080929Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0081065Z test_noncontiguous_all_all_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0081201Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0081338Z test_noncontiguous_all_all_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0081462Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0081599Z test_noncontiguous_all_all_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0081731Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0081865Z test_noncontiguous_all_all_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0081999Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0082131Z test_noncontiguous_all_all_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0082266Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0082398Z test_noncontiguous_all_all_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0082520Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0082652Z test_noncontiguous_all_all_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0082784Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0082915Z test_noncontiguous_all_all_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0083046Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0083173Z test_noncontiguous_all_all_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0083304Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0083428Z test_noncontiguous_all_all_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0083561Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0083692Z test_noncontiguous_all_all_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0083824Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0083960Z test_noncontiguous_all_amax_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0084089Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0084221Z test_noncontiguous_all_amax_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0084353Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0084478Z test_noncontiguous_all_amax_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0084612Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0084750Z test_noncontiguous_all_amax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0084880Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0085012Z test_noncontiguous_all_amax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0085175Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0085311Z test_noncontiguous_all_amax_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0085441Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0085561Z test_noncontiguous_all_amax_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0085692Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0085825Z test_noncontiguous_all_amax_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0085958Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0086153Z test_noncontiguous_all_amax_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0086287Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0086420Z test_noncontiguous_all_amax_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0086553Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0086679Z test_noncontiguous_all_amin_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0086811Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0086944Z test_noncontiguous_all_amin_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0087078Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0087214Z test_noncontiguous_all_amin_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0087348Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0087491Z test_noncontiguous_all_amin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0087623Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0087745Z test_noncontiguous_all_amin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0087876Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0088006Z test_noncontiguous_all_amin_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0088134Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0088268Z test_noncontiguous_all_amin_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0088399Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0088530Z test_noncontiguous_all_amin_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0088658Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0088780Z test_noncontiguous_all_amin_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0088908Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0089042Z test_noncontiguous_all_amin_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0089174Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0089309Z test_noncontiguous_all_any_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0089442Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0089574Z test_noncontiguous_all_any_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0089695Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0089832Z test_noncontiguous_all_any_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0089965Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0090102Z test_noncontiguous_all_any_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0090233Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0090365Z test_noncontiguous_all_any_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0090492Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0090656Z test_noncontiguous_all_any_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0090778Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0090915Z test_noncontiguous_all_any_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0091045Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0091176Z test_noncontiguous_all_any_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0091305Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0091434Z test_noncontiguous_all_any_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0091596Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0091727Z test_noncontiguous_all_any_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0091846Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0091975Z test_noncontiguous_all_any_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0092105Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0092238Z test_noncontiguous_all_any_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0092370Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0092507Z test_noncontiguous_all_argmax_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0092639Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0092769Z test_noncontiguous_all_argmax_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0092890Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0093022Z test_noncontiguous_all_argmax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0093151Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0093286Z test_noncontiguous_all_argmax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0093414Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0093549Z test_noncontiguous_all_argmax_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0093679Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0093814Z test_noncontiguous_all_argmax_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0093935Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0094065Z test_noncontiguous_all_argmax_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0094197Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0094330Z test_noncontiguous_all_argmax_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0094458Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0094593Z test_noncontiguous_all_argmax_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0094725Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0094864Z test_noncontiguous_all_argmin_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0094984Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0095114Z test_noncontiguous_all_argmin_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0095247Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0095380Z test_noncontiguous_all_argmin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0095512Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0095642Z test_noncontiguous_all_argmin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0095769Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0095921Z test_noncontiguous_all_argmin_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0096052Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0096181Z test_noncontiguous_all_argmin_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0096309Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0096435Z test_noncontiguous_all_argmin_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0096562Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0096693Z test_noncontiguous_all_argmin_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0096847Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0096968Z test_noncontiguous_all_argmin_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0097096Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0097243Z test_noncontiguous_all_count_nonzero_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0097370Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0097512Z test_noncontiguous_all_count_nonzero_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0097640Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0097789Z test_noncontiguous_all_count_nonzero_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0097918Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0098057Z test_noncontiguous_all_count_nonzero_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0098192Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0098333Z test_noncontiguous_all_count_nonzero_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0098460Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0098605Z test_noncontiguous_all_count_nonzero_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0098733Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0099022Z test_noncontiguous_all_count_nonzero_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0099151Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0099283Z test_noncontiguous_all_count_nonzero_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0099409Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0099553Z test_noncontiguous_all_count_nonzero_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0099686Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0099824Z test_noncontiguous_all_count_nonzero_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0099954Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0100096Z test_noncontiguous_all_count_nonzero_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0100229Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0100359Z test_noncontiguous_all_count_nonzero_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0100486Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0100635Z test_noncontiguous_all_linalg_vector_norm_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0100763Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.002s) 2022-11-23T02:11:55.0100916Z test_noncontiguous_all_linalg_vector_norm_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0101048Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.002s) 2022-11-23T02:11:55.0101199Z test_noncontiguous_all_linalg_vector_norm_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0101381Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.002s) 2022-11-23T02:11:55.0101524Z test_noncontiguous_all_linalg_vector_norm_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0101653Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.002s) 2022-11-23T02:11:55.0101800Z test_noncontiguous_all_linalg_vector_norm_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0101928Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.002s) 2022-11-23T02:11:55.0102076Z test_noncontiguous_all_linalg_vector_norm_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0102206Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.002s) 2022-11-23T02:11:55.0102388Z test_noncontiguous_all_masked_amax_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0102517Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0102647Z test_noncontiguous_all_masked_amax_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0102778Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0102918Z test_noncontiguous_all_masked_amax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0103048Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0103191Z test_noncontiguous_all_masked_amax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0103319Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0103457Z test_noncontiguous_all_masked_amax_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0103587Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0103717Z test_noncontiguous_all_masked_amax_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0103847Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0103984Z test_noncontiguous_all_masked_amax_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0104117Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0104254Z test_noncontiguous_all_masked_amax_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0104382Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0104519Z test_noncontiguous_all_masked_amax_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0104646Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0104779Z test_noncontiguous_all_masked_amin_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0104907Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0105048Z test_noncontiguous_all_masked_amin_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0105178Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0105316Z test_noncontiguous_all_masked_amin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0105445Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0105586Z test_noncontiguous_all_masked_amin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0105716Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0105843Z test_noncontiguous_all_masked_amin_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0105971Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0106109Z test_noncontiguous_all_masked_amin_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0106236Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0106374Z test_noncontiguous_all_masked_amin_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0106502Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0106643Z test_noncontiguous_all_masked_amin_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0106798Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0106927Z test_noncontiguous_all_masked_amin_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0107051Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0107196Z test_noncontiguous_all_masked_argmax_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0107322Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0107468Z test_noncontiguous_all_masked_argmax_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0107623Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.002s) 2022-11-23T02:11:55.0107765Z test_noncontiguous_all_masked_argmax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0107893Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0108025Z test_noncontiguous_all_masked_argmax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0108153Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0108294Z test_noncontiguous_all_masked_argmax_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0108422Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0108564Z test_noncontiguous_all_masked_argmax_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0108688Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0108832Z test_noncontiguous_all_masked_argmax_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0108967Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0109097Z test_noncontiguous_all_masked_argmax_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0109295Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0109437Z test_noncontiguous_all_masked_argmax_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0109569Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0109710Z test_noncontiguous_all_masked_argmin_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0109839Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0109983Z test_noncontiguous_all_masked_argmin_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0110116Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0110247Z test_noncontiguous_all_masked_argmin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0110379Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0110517Z test_noncontiguous_all_masked_argmin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0110644Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0110791Z test_noncontiguous_all_masked_argmin_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0110919Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0111058Z test_noncontiguous_all_masked_argmin_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0111186Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0111317Z test_noncontiguous_all_masked_argmin_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0111448Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0111588Z test_noncontiguous_all_masked_argmin_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0111722Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0111861Z test_noncontiguous_all_masked_argmin_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0111993Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0112175Z test_noncontiguous_all_masked_logsumexp_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0112302Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0112441Z test_noncontiguous_all_masked_logsumexp_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0112570Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0112719Z test_noncontiguous_all_masked_logsumexp_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0112850Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0113027Z test_noncontiguous_all_masked_logsumexp_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0113155Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0113301Z test_noncontiguous_all_masked_logsumexp_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0113429Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0113562Z test_noncontiguous_all_masked_logsumexp_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0113692Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0113833Z test_noncontiguous_all_masked_logsumexp_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0113961Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0114106Z test_noncontiguous_all_masked_logsumexp_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0114235Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0114381Z test_noncontiguous_all_masked_mean_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0114510Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0114639Z test_noncontiguous_all_masked_mean_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0114772Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0114916Z test_noncontiguous_all_masked_mean_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0115045Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0115191Z test_noncontiguous_all_masked_mean_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0115320Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0115462Z test_noncontiguous_all_masked_mean_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0115587Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0115719Z test_noncontiguous_all_masked_mean_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0115848Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0115990Z test_noncontiguous_all_masked_mean_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0116120Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0116256Z test_noncontiguous_all_masked_mean_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0116384Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0116520Z test_noncontiguous_all_masked_mean_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0116649Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0116778Z test_noncontiguous_all_masked_mean_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0116907Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0117046Z test_noncontiguous_all_masked_mean_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0117173Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0117311Z test_noncontiguous_all_masked_mean_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0117468Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0117614Z test_noncontiguous_all_masked_norm_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0117742Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0117873Z test_noncontiguous_all_masked_norm_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0118001Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0118142Z test_noncontiguous_all_masked_norm_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0118302Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0118442Z test_noncontiguous_all_masked_norm_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0118571Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0118716Z test_noncontiguous_all_masked_prod_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0118843Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0118972Z test_noncontiguous_all_masked_prod_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0119102Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0119246Z test_noncontiguous_all_masked_prod_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0119375Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0119520Z test_noncontiguous_all_masked_prod_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0119647Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0119789Z test_noncontiguous_all_masked_prod_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0119916Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0120048Z test_noncontiguous_all_masked_prod_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0120179Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0120317Z test_noncontiguous_all_masked_prod_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0120445Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0120582Z test_noncontiguous_all_masked_prod_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0120709Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0120848Z test_noncontiguous_all_masked_prod_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0120978Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0121106Z test_noncontiguous_all_masked_prod_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0121236Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0121373Z test_noncontiguous_all_masked_prod_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0121504Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0121644Z test_noncontiguous_all_masked_std_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0121772Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0121917Z test_noncontiguous_all_masked_std_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0122042Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0122176Z test_noncontiguous_all_masked_std_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0122311Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0122452Z test_noncontiguous_all_masked_std_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0122580Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0122748Z test_noncontiguous_all_masked_std_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0122876Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0123015Z test_noncontiguous_all_masked_std_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0123138Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.002s) 2022-11-23T02:11:55.0123274Z test_noncontiguous_all_masked_std_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0123405Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.002s) 2022-11-23T02:11:55.0123540Z test_noncontiguous_all_masked_std_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0123710Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.002s) 2022-11-23T02:11:55.0123845Z test_noncontiguous_all_masked_std_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0123975Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.002s) 2022-11-23T02:11:55.0124116Z test_noncontiguous_all_masked_std_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0124237Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.002s) 2022-11-23T02:11:55.0124375Z test_noncontiguous_all_masked_sum_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0124502Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0124638Z test_noncontiguous_all_masked_sum_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0124765Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0124912Z test_noncontiguous_all_masked_sum_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0125045Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0125188Z test_noncontiguous_all_masked_sum_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0125307Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0125447Z test_noncontiguous_all_masked_sum_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0125578Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0125715Z test_noncontiguous_all_masked_sum_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0125846Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0125989Z test_noncontiguous_all_masked_sum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0126116Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0126254Z test_noncontiguous_all_masked_sum_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0126378Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0126514Z test_noncontiguous_all_masked_sum_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0126640Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0126781Z test_noncontiguous_all_masked_sum_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0126910Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0127046Z test_noncontiguous_all_masked_sum_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0127177Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0127311Z test_noncontiguous_all_masked_sum_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0127429Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0127574Z test_noncontiguous_all_masked_var_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0127704Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0127852Z test_noncontiguous_all_masked_var_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0128013Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0128156Z test_noncontiguous_all_masked_var_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0128283Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.002s) 2022-11-23T02:11:55.0128425Z test_noncontiguous_all_masked_var_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0128544Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0128682Z test_noncontiguous_all_masked_var_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0128814Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0128981Z test_noncontiguous_all_masked_var_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0129109Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0129249Z test_noncontiguous_all_masked_var_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0129382Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0129520Z test_noncontiguous_all_masked_var_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0129640Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0129773Z test_noncontiguous_all_masked_var_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0129903Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0130041Z test_noncontiguous_all_masked_var_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0130171Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0130307Z test_noncontiguous_all_masked_var_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0130439Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0130575Z test_noncontiguous_all_mean_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0130698Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0130836Z test_noncontiguous_all_mean_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0130969Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0131100Z test_noncontiguous_all_mean_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0131228Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0131362Z test_noncontiguous_all_mean_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0131493Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0131627Z test_noncontiguous_all_mean_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0131746Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0131877Z test_noncontiguous_all_mean_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0132011Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0132147Z test_noncontiguous_all_nanmean_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0132273Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0132412Z test_noncontiguous_all_nanmean_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0132541Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0132674Z test_noncontiguous_all_nanmean_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0132795Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0132934Z test_noncontiguous_all_nanmean_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0133065Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0133198Z test_noncontiguous_all_nansum_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0133351Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0133485Z test_noncontiguous_all_nansum_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0133614Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0133746Z test_noncontiguous_all_nansum_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0133866Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0133997Z test_noncontiguous_all_nansum_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0134125Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0134279Z test_noncontiguous_all_nansum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0134405Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0134535Z test_noncontiguous_all_nansum_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0134668Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0134793Z test_noncontiguous_all_nansum_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0134929Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0135060Z test_noncontiguous_all_nansum_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0135188Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0135323Z test_noncontiguous_all_nansum_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0135451Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0135585Z test_noncontiguous_all_nansum_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0135716Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0135843Z test_noncontiguous_all_prod_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0135973Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0136109Z test_noncontiguous_all_prod_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0136238Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0136378Z test_noncontiguous_all_prod_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0136508Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0136641Z test_noncontiguous_all_prod_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0136767Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0136890Z test_noncontiguous_all_prod_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0137022Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0137154Z test_noncontiguous_all_prod_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0137283Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0137417Z test_noncontiguous_all_prod_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0137546Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0137680Z test_noncontiguous_all_prod_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0137813Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0137934Z test_noncontiguous_all_prod_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0138067Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0138205Z test_noncontiguous_all_prod_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0138339Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0138474Z test_noncontiguous_all_prod_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0138607Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0138934Z test_noncontiguous_all_std_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0139076Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0139201Z test_noncontiguous_all_std_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0139333Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0139472Z test_noncontiguous_all_std_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0139606Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.002s) 2022-11-23T02:11:55.0139748Z test_noncontiguous_all_std_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0139919Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0140055Z test_noncontiguous_all_std_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0140185Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0140308Z test_noncontiguous_all_std_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0140444Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0140583Z test_noncontiguous_all_sum_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0140716Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0140848Z test_noncontiguous_all_sum_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0140985Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0141121Z test_noncontiguous_all_sum_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0141241Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0141377Z test_noncontiguous_all_sum_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0141509Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0141647Z test_noncontiguous_all_sum_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0141777Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0141912Z test_noncontiguous_all_sum_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0142049Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0142182Z test_noncontiguous_all_sum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0142299Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0142435Z test_noncontiguous_all_sum_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0142572Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0142707Z test_noncontiguous_all_sum_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0142842Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0142973Z test_noncontiguous_all_sum_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0143109Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0143243Z test_noncontiguous_all_sum_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0143362Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0143493Z test_noncontiguous_all_sum_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0143624Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0143760Z test_noncontiguous_all_var_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0143892Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0144029Z test_noncontiguous_all_var_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0144161Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0144303Z test_noncontiguous_all_var_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0144451Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0144588Z test_noncontiguous_all_var_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0144718Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0144855Z test_noncontiguous_all_var_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0144992Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0145128Z test_noncontiguous_all_var_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0145259Z Tests reducing all dimensions of a noncontiguous tensor. ... ok (0.001s) 2022-11-23T02:11:55.0145430Z test_noncontiguous_expanded_all_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0145557Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0145696Z test_noncontiguous_expanded_all_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0145836Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0145983Z test_noncontiguous_expanded_all_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0146121Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0146272Z test_noncontiguous_expanded_all_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0146406Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0146551Z test_noncontiguous_expanded_all_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0146677Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0146821Z test_noncontiguous_expanded_all_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0146958Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0147097Z test_noncontiguous_expanded_all_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0147237Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0147379Z test_noncontiguous_expanded_all_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0147517Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0147654Z test_noncontiguous_expanded_all_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0147778Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0147920Z test_noncontiguous_expanded_all_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0148057Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0148197Z test_noncontiguous_expanded_all_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0148337Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0148480Z test_noncontiguous_expanded_all_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0148620Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0148768Z test_noncontiguous_expanded_amax_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0148891Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0149029Z test_noncontiguous_expanded_amax_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0149240Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0149384Z test_noncontiguous_expanded_amax_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0149522Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0149660Z test_noncontiguous_expanded_amax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0149794Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0149965Z test_noncontiguous_expanded_amax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0150092Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0150235Z test_noncontiguous_expanded_amax_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0150369Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0150510Z test_noncontiguous_expanded_amax_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0150648Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0150789Z test_noncontiguous_expanded_amax_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0150955Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0151096Z test_noncontiguous_expanded_amax_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0151219Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0151359Z test_noncontiguous_expanded_amax_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0151494Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0151638Z test_noncontiguous_expanded_amin_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0151775Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0151916Z test_noncontiguous_expanded_amin_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0152057Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0152196Z test_noncontiguous_expanded_amin_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0152319Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0152458Z test_noncontiguous_expanded_amin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0152591Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0171682Z test_noncontiguous_expanded_amin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0171903Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0172046Z test_noncontiguous_expanded_amin_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0172182Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0172317Z test_noncontiguous_expanded_amin_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0172452Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0172583Z test_noncontiguous_expanded_amin_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0172721Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0172857Z test_noncontiguous_expanded_amin_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0172992Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0173135Z test_noncontiguous_expanded_amin_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0173270Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0173410Z test_noncontiguous_expanded_any_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0173541Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0173670Z test_noncontiguous_expanded_any_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0173802Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0173950Z test_noncontiguous_expanded_any_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0174076Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0174219Z test_noncontiguous_expanded_any_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0174451Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0174590Z test_noncontiguous_expanded_any_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0174719Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0174846Z test_noncontiguous_expanded_any_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0174970Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0175103Z test_noncontiguous_expanded_any_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0175230Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0175424Z test_noncontiguous_expanded_any_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0175558Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0175692Z test_noncontiguous_expanded_any_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0175829Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0175956Z test_noncontiguous_expanded_any_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0176085Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0176219Z test_noncontiguous_expanded_any_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0176352Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0176491Z test_noncontiguous_expanded_any_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0176627Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0176774Z test_noncontiguous_expanded_argmax_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0176904Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0177052Z test_noncontiguous_expanded_argmax_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0177175Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0177318Z test_noncontiguous_expanded_argmax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0177451Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0177591Z test_noncontiguous_expanded_argmax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0177727Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0177867Z test_noncontiguous_expanded_argmax_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0177999Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0178139Z test_noncontiguous_expanded_argmax_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0178259Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0178395Z test_noncontiguous_expanded_argmax_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0178529Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0178670Z test_noncontiguous_expanded_argmax_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0178969Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0179118Z test_noncontiguous_expanded_argmax_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0179249Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0179396Z test_noncontiguous_expanded_argmin_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0179523Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0179671Z test_noncontiguous_expanded_argmin_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0179809Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0180012Z test_noncontiguous_expanded_argmin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0180148Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0180290Z test_noncontiguous_expanded_argmin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0180423Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0180565Z test_noncontiguous_expanded_argmin_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0180687Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0180824Z test_noncontiguous_expanded_argmin_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0180992Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0181129Z test_noncontiguous_expanded_argmin_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0181264Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0181407Z test_noncontiguous_expanded_argmin_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0181543Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0181676Z test_noncontiguous_expanded_argmin_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0181796Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0181943Z test_noncontiguous_expanded_count_nonzero_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0182071Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0182215Z test_noncontiguous_expanded_count_nonzero_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0182346Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0182498Z test_noncontiguous_expanded_count_nonzero_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0182624Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0182775Z test_noncontiguous_expanded_count_nonzero_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0182900Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0183049Z test_noncontiguous_expanded_count_nonzero_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0183188Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0183344Z test_noncontiguous_expanded_count_nonzero_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0183481Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0183636Z test_noncontiguous_expanded_count_nonzero_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0183772Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0183927Z test_noncontiguous_expanded_count_nonzero_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0184054Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0184205Z test_noncontiguous_expanded_count_nonzero_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0184341Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0184491Z test_noncontiguous_expanded_count_nonzero_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0184626Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0184781Z test_noncontiguous_expanded_count_nonzero_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0184919Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0185074Z test_noncontiguous_expanded_count_nonzero_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0185199Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0185418Z test_noncontiguous_expanded_linalg_vector_norm_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0185553Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.002s) 2022-11-23T02:11:55.0185718Z test_noncontiguous_expanded_linalg_vector_norm_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0185854Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.002s) 2022-11-23T02:11:55.0186016Z test_noncontiguous_expanded_linalg_vector_norm_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0186152Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.002s) 2022-11-23T02:11:55.0186310Z test_noncontiguous_expanded_linalg_vector_norm_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0186478Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.002s) 2022-11-23T02:11:55.0186625Z test_noncontiguous_expanded_linalg_vector_norm_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0186763Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.002s) 2022-11-23T02:11:55.0186924Z test_noncontiguous_expanded_linalg_vector_norm_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0187063Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.002s) 2022-11-23T02:11:55.0187216Z test_noncontiguous_expanded_masked_amax_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0187352Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0187505Z test_noncontiguous_expanded_masked_amax_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0187642Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0187785Z test_noncontiguous_expanded_masked_amax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0187921Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0188069Z test_noncontiguous_expanded_masked_amax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0188207Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0188358Z test_noncontiguous_expanded_masked_amax_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0188493Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0188644Z test_noncontiguous_expanded_masked_amax_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0188780Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0188918Z test_noncontiguous_expanded_masked_amax_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0189055Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0189275Z test_noncontiguous_expanded_masked_amax_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0189415Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0189567Z test_noncontiguous_expanded_masked_amax_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0189703Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0189856Z test_noncontiguous_expanded_masked_amin_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0189993Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0190132Z test_noncontiguous_expanded_masked_amin_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0190267Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.002s) 2022-11-23T02:11:55.0190417Z test_noncontiguous_expanded_masked_amin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0190557Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0190706Z test_noncontiguous_expanded_masked_amin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0190840Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0191024Z test_noncontiguous_expanded_masked_amin_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0191161Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0191297Z test_noncontiguous_expanded_masked_amin_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0191431Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0191578Z test_noncontiguous_expanded_masked_amin_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0191716Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0191863Z test_noncontiguous_expanded_masked_amin_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0192026Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0192173Z test_noncontiguous_expanded_masked_amin_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0192310Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0192455Z test_noncontiguous_expanded_masked_argmax_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0192591Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0192746Z test_noncontiguous_expanded_masked_argmax_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0192881Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0193035Z test_noncontiguous_expanded_masked_argmax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0193169Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0193325Z test_noncontiguous_expanded_masked_argmax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0193460Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0193599Z test_noncontiguous_expanded_masked_argmax_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0193735Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0193885Z test_noncontiguous_expanded_masked_argmax_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0194020Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0194166Z test_noncontiguous_expanded_masked_argmax_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0194299Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0194449Z test_noncontiguous_expanded_masked_argmax_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0194585Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0194722Z test_noncontiguous_expanded_masked_argmax_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0194857Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0195011Z test_noncontiguous_expanded_masked_argmin_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0195144Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0195296Z test_noncontiguous_expanded_masked_argmin_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0195431Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0195585Z test_noncontiguous_expanded_masked_argmin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0195719Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0195858Z test_noncontiguous_expanded_masked_argmin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0195993Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0196143Z test_noncontiguous_expanded_masked_argmin_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0196276Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0196452Z test_noncontiguous_expanded_masked_argmin_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0196588Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0196733Z test_noncontiguous_expanded_masked_argmin_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0196867Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0197006Z test_noncontiguous_expanded_masked_argmin_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0197142Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0197322Z test_noncontiguous_expanded_masked_argmin_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0197459Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0197620Z test_noncontiguous_expanded_masked_logsumexp_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0197756Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0197914Z test_noncontiguous_expanded_masked_logsumexp_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0198049Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0198205Z test_noncontiguous_expanded_masked_logsumexp_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0198329Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0198484Z test_noncontiguous_expanded_masked_logsumexp_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0198622Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0198775Z test_noncontiguous_expanded_masked_logsumexp_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0198911Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0199066Z test_noncontiguous_expanded_masked_logsumexp_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0199202Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0199357Z test_noncontiguous_expanded_masked_logsumexp_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0199481Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0199636Z test_noncontiguous_expanded_masked_logsumexp_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0199770Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0199922Z test_noncontiguous_expanded_masked_mean_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0200060Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0200210Z test_noncontiguous_expanded_masked_mean_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0200347Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0200502Z test_noncontiguous_expanded_masked_mean_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0200625Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0200779Z test_noncontiguous_expanded_masked_mean_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0200915Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0201065Z test_noncontiguous_expanded_masked_mean_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0201203Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0201356Z test_noncontiguous_expanded_masked_mean_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0201491Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0201639Z test_noncontiguous_expanded_masked_mean_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0201788Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0201939Z test_noncontiguous_expanded_masked_mean_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0202075Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0202224Z test_noncontiguous_expanded_masked_mean_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0202360Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0202508Z test_noncontiguous_expanded_masked_mean_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0202643Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0202817Z test_noncontiguous_expanded_masked_mean_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0202941Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0203087Z test_noncontiguous_expanded_masked_mean_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0203226Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0203378Z test_noncontiguous_expanded_masked_norm_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0203514Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0203662Z test_noncontiguous_expanded_masked_norm_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0203795Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0203946Z test_noncontiguous_expanded_masked_norm_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0204072Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0204221Z test_noncontiguous_expanded_masked_norm_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0204356Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0204509Z test_noncontiguous_expanded_masked_prod_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0204643Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0204791Z test_noncontiguous_expanded_masked_prod_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0204926Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0205082Z test_noncontiguous_expanded_masked_prod_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0205207Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0205361Z test_noncontiguous_expanded_masked_prod_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0205496Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0205647Z test_noncontiguous_expanded_masked_prod_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0205785Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0205937Z test_noncontiguous_expanded_masked_prod_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0206071Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0206221Z test_noncontiguous_expanded_masked_prod_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0206345Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0206495Z test_noncontiguous_expanded_masked_prod_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0206630Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0206781Z test_noncontiguous_expanded_masked_prod_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0206916Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0207063Z test_noncontiguous_expanded_masked_prod_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0207225Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0207374Z test_noncontiguous_expanded_masked_prod_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0207498Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0207650Z test_noncontiguous_expanded_masked_std_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0207785Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0207941Z test_noncontiguous_expanded_masked_std_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0208101Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.002s) 2022-11-23T02:11:55.0208253Z test_noncontiguous_expanded_masked_std_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0208387Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0208538Z test_noncontiguous_expanded_masked_std_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0208663Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0208814Z test_noncontiguous_expanded_masked_std_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0208948Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.002s) 2022-11-23T02:11:55.0209093Z test_noncontiguous_expanded_masked_std_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0209231Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.002s) 2022-11-23T02:11:55.0209377Z test_noncontiguous_expanded_masked_std_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0209514Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.002s) 2022-11-23T02:11:55.0209658Z test_noncontiguous_expanded_masked_std_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0209781Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.002s) 2022-11-23T02:11:55.0209928Z test_noncontiguous_expanded_masked_std_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0210064Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.002s) 2022-11-23T02:11:55.0210211Z test_noncontiguous_expanded_masked_std_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0210346Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.002s) 2022-11-23T02:11:55.0210497Z test_noncontiguous_expanded_masked_sum_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0210631Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0210776Z test_noncontiguous_expanded_masked_sum_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0210913Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0211055Z test_noncontiguous_expanded_masked_sum_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0211192Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0211344Z test_noncontiguous_expanded_masked_sum_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0211477Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0211626Z test_noncontiguous_expanded_masked_sum_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0211762Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0211911Z test_noncontiguous_expanded_masked_sum_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0212045Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0212183Z test_noncontiguous_expanded_masked_sum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0212318Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0212467Z test_noncontiguous_expanded_masked_sum_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0212629Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0212776Z test_noncontiguous_expanded_masked_sum_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0212911Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0213055Z test_noncontiguous_expanded_masked_sum_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0213191Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0213326Z test_noncontiguous_expanded_masked_sum_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0213460Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0213644Z test_noncontiguous_expanded_masked_sum_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0213781Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0213934Z test_noncontiguous_expanded_masked_var_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0214067Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0214223Z test_noncontiguous_expanded_masked_var_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0214357Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0214500Z test_noncontiguous_expanded_masked_var_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0214636Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0214784Z test_noncontiguous_expanded_masked_var_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0214922Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0215069Z test_noncontiguous_expanded_masked_var_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0215203Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0215354Z test_noncontiguous_expanded_masked_var_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0215491Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0215625Z test_noncontiguous_expanded_masked_var_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0215759Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0215905Z test_noncontiguous_expanded_masked_var_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0216038Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0216183Z test_noncontiguous_expanded_masked_var_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0216318Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.002s) 2022-11-23T02:11:55.0216465Z test_noncontiguous_expanded_masked_var_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0216602Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0216736Z test_noncontiguous_expanded_masked_var_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0216869Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0217015Z test_noncontiguous_expanded_mean_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0217150Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0217298Z test_noncontiguous_expanded_mean_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0217432Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0217580Z test_noncontiguous_expanded_mean_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0217713Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0217841Z test_noncontiguous_expanded_mean_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0217998Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0218137Z test_noncontiguous_expanded_mean_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0218268Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0218403Z test_noncontiguous_expanded_mean_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0218534Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0218678Z test_noncontiguous_expanded_nanmean_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0218949Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0219140Z test_noncontiguous_expanded_nanmean_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0219272Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0219421Z test_noncontiguous_expanded_nanmean_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0219559Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0219708Z test_noncontiguous_expanded_nanmean_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0219838Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0219987Z test_noncontiguous_expanded_nansum_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0220122Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0220255Z test_noncontiguous_expanded_nansum_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0220390Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0220536Z test_noncontiguous_expanded_nansum_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0220671Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0220817Z test_noncontiguous_expanded_nansum_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0220951Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0221092Z test_noncontiguous_expanded_nansum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0221222Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0221348Z test_noncontiguous_expanded_nansum_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0221481Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0221618Z test_noncontiguous_expanded_nansum_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0221754Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0221890Z test_noncontiguous_expanded_nansum_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0222022Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0222164Z test_noncontiguous_expanded_nansum_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0222296Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0222422Z test_noncontiguous_expanded_nansum_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0222552Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0222697Z test_noncontiguous_expanded_prod_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0222831Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0222974Z test_noncontiguous_expanded_prod_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0223116Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0223265Z test_noncontiguous_expanded_prod_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0223399Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0223567Z test_noncontiguous_expanded_prod_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0223703Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0223844Z test_noncontiguous_expanded_prod_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0223979Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0224118Z test_noncontiguous_expanded_prod_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0224251Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0224393Z test_noncontiguous_expanded_prod_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0224558Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0224690Z test_noncontiguous_expanded_prod_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0224823Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0224967Z test_noncontiguous_expanded_prod_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0225105Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0225250Z test_noncontiguous_expanded_prod_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0225386Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0225527Z test_noncontiguous_expanded_prod_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0225665Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0225793Z test_noncontiguous_expanded_std_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0225930Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0226079Z test_noncontiguous_expanded_std_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0226214Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0226365Z test_noncontiguous_expanded_std_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0226499Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.002s) 2022-11-23T02:11:55.0226644Z test_noncontiguous_expanded_std_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0226778Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0226906Z test_noncontiguous_expanded_std_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0227040Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0227180Z test_noncontiguous_expanded_std_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0227312Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0227455Z test_noncontiguous_expanded_sum_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0227591Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0227734Z test_noncontiguous_expanded_sum_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0227870Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0228005Z test_noncontiguous_expanded_sum_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0228140Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0228288Z test_noncontiguous_expanded_sum_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0228423Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0228568Z test_noncontiguous_expanded_sum_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0228702Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0228840Z test_noncontiguous_expanded_sum_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0229003Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0229130Z test_noncontiguous_expanded_sum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0229331Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0229474Z test_noncontiguous_expanded_sum_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0229611Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0229753Z test_noncontiguous_expanded_sum_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0229892Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0230066Z test_noncontiguous_expanded_sum_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0230201Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0230328Z test_noncontiguous_expanded_sum_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0230467Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0230606Z test_noncontiguous_expanded_sum_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0230742Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0230882Z test_noncontiguous_expanded_var_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0231017Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0231164Z test_noncontiguous_expanded_var_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0231295Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0231431Z test_noncontiguous_expanded_var_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0231566Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0231708Z test_noncontiguous_expanded_var_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0231843Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0231983Z test_noncontiguous_expanded_var_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0232114Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0232250Z test_noncontiguous_expanded_var_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0232382Z Tests reducing a tensor with expanded singleton dimensions. ... ok (0.001s) 2022-11-23T02:11:55.0232512Z test_noncontiguous_innermost_all_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0232650Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0232792Z test_noncontiguous_innermost_all_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0232928Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0233076Z test_noncontiguous_innermost_all_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0233212Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0233359Z test_noncontiguous_innermost_all_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0233496Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0233624Z test_noncontiguous_innermost_all_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0233756Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0233896Z test_noncontiguous_innermost_all_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0234034Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0234170Z test_noncontiguous_innermost_all_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0234303Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0234472Z test_noncontiguous_innermost_all_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0234607Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0234734Z test_noncontiguous_innermost_all_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0234866Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0235004Z test_noncontiguous_innermost_all_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0235137Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0235277Z test_noncontiguous_innermost_all_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0235437Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0235573Z test_noncontiguous_innermost_all_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0235692Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0235839Z test_noncontiguous_innermost_amax_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0235975Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0236117Z test_noncontiguous_innermost_amax_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0236253Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0236396Z test_noncontiguous_innermost_amax_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0236525Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0236669Z test_noncontiguous_innermost_amax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0236795Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0236937Z test_noncontiguous_innermost_amax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0237072Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0237214Z test_noncontiguous_innermost_amax_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0237349Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0237492Z test_noncontiguous_innermost_amax_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0237623Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0237768Z test_noncontiguous_innermost_amax_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0237889Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0238025Z test_noncontiguous_innermost_amax_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0238161Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0238299Z test_noncontiguous_innermost_amax_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0238436Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0238587Z test_noncontiguous_innermost_amin_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0238718Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0238857Z test_noncontiguous_innermost_amin_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0238979Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0239122Z test_noncontiguous_innermost_amin_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0239253Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0239399Z test_noncontiguous_innermost_amin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0239533Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0239677Z test_noncontiguous_innermost_amin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0239808Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0239974Z test_noncontiguous_innermost_amin_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0240096Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0240234Z test_noncontiguous_innermost_amin_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0240367Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0240504Z test_noncontiguous_innermost_amin_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0240639Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0240777Z test_noncontiguous_innermost_amin_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0240938Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0241076Z test_noncontiguous_innermost_amin_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0241195Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0241344Z test_noncontiguous_innermost_any_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0241476Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0241617Z test_noncontiguous_innermost_any_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0241749Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0241895Z test_noncontiguous_innermost_any_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0242026Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0242171Z test_noncontiguous_innermost_any_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0242294Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0242436Z test_noncontiguous_innermost_any_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0242569Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0242710Z test_noncontiguous_innermost_any_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0242847Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0242987Z test_noncontiguous_innermost_any_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0243120Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0243257Z test_noncontiguous_innermost_any_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0243379Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0243515Z test_noncontiguous_innermost_any_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0243648Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0243786Z test_noncontiguous_innermost_any_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0243920Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0244063Z test_noncontiguous_innermost_any_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0244196Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0244338Z test_noncontiguous_innermost_any_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0244458Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0244610Z test_noncontiguous_innermost_argmax_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0244742Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0244890Z test_noncontiguous_innermost_argmax_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0245024Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0245167Z test_noncontiguous_innermost_argmax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0245298Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0245466Z test_noncontiguous_innermost_argmax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0245587Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0245733Z test_noncontiguous_innermost_argmax_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0245866Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0246009Z test_noncontiguous_innermost_argmax_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0246142Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0246283Z test_noncontiguous_innermost_argmax_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0246447Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0246588Z test_noncontiguous_innermost_argmax_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0246707Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0246852Z test_noncontiguous_innermost_argmax_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0246985Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0247132Z test_noncontiguous_innermost_argmin_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0247264Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0247410Z test_noncontiguous_innermost_argmin_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0247542Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0247683Z test_noncontiguous_innermost_argmin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0247804Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0247944Z test_noncontiguous_innermost_argmin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0248074Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0248219Z test_noncontiguous_innermost_argmin_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0248352Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0248495Z test_noncontiguous_innermost_argmin_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0248628Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0248771Z test_noncontiguous_innermost_argmin_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0248893Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0249032Z test_noncontiguous_innermost_argmin_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0249164Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0249306Z test_noncontiguous_innermost_argmin_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0249438Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0249596Z test_noncontiguous_innermost_count_nonzero_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0249729Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0249882Z test_noncontiguous_innermost_count_nonzero_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0250004Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0250161Z test_noncontiguous_innermost_count_nonzero_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0250293Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0250453Z test_noncontiguous_innermost_count_nonzero_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0250587Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0250739Z test_noncontiguous_innermost_count_nonzero_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0250898Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0251055Z test_noncontiguous_innermost_count_nonzero_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0251177Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0251328Z test_noncontiguous_innermost_count_nonzero_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0251460Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0251614Z test_noncontiguous_innermost_count_nonzero_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0251746Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0251939Z test_noncontiguous_innermost_count_nonzero_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0252072Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0252223Z test_noncontiguous_innermost_count_nonzero_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0252345Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0252496Z test_noncontiguous_innermost_count_nonzero_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0252628Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0252783Z test_noncontiguous_innermost_count_nonzero_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0252914Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0253074Z test_noncontiguous_innermost_linalg_vector_norm_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0253208Z Tests reducing along noncontiguous innermost dimension. ... ok (0.002s) 2022-11-23T02:11:55.0253373Z test_noncontiguous_innermost_linalg_vector_norm_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0253495Z Tests reducing along noncontiguous innermost dimension. ... ok (0.002s) 2022-11-23T02:11:55.0253659Z test_noncontiguous_innermost_linalg_vector_norm_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0253793Z Tests reducing along noncontiguous innermost dimension. ... ok (0.002s) 2022-11-23T02:11:55.0253953Z test_noncontiguous_innermost_linalg_vector_norm_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0254086Z Tests reducing along noncontiguous innermost dimension. ... ok (0.002s) 2022-11-23T02:11:55.0254250Z test_noncontiguous_innermost_linalg_vector_norm_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0254383Z Tests reducing along noncontiguous innermost dimension. ... ok (0.002s) 2022-11-23T02:11:55.0254540Z test_noncontiguous_innermost_linalg_vector_norm_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0254664Z Tests reducing along noncontiguous innermost dimension. ... ok (0.002s) 2022-11-23T02:11:55.0254815Z test_noncontiguous_innermost_masked_amax_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0254951Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0255101Z test_noncontiguous_innermost_masked_amax_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0255234Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0255384Z test_noncontiguous_innermost_masked_amax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0255517Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0255666Z test_noncontiguous_innermost_masked_amax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0255787Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0255937Z test_noncontiguous_innermost_masked_amax_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0256068Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0256212Z test_noncontiguous_innermost_masked_amax_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0256368Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0256512Z test_noncontiguous_innermost_masked_amax_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0256641Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0256791Z test_noncontiguous_innermost_masked_amax_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0256909Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0257055Z test_noncontiguous_innermost_masked_amax_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0257185Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0257366Z test_noncontiguous_innermost_masked_amin_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0257498Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0257646Z test_noncontiguous_innermost_masked_amin_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0257785Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0257935Z test_noncontiguous_innermost_masked_amin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0258057Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0258208Z test_noncontiguous_innermost_masked_amin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0258341Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0258492Z test_noncontiguous_innermost_masked_amin_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0258627Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0258894Z test_noncontiguous_innermost_masked_amin_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0259026Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0259172Z test_noncontiguous_innermost_masked_amin_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0259291Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0259441Z test_noncontiguous_innermost_masked_amin_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0259572Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0259716Z test_noncontiguous_innermost_masked_amin_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0259846Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0260002Z test_noncontiguous_innermost_masked_argmax_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0260139Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0260292Z test_noncontiguous_innermost_masked_argmax_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0260414Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0260569Z test_noncontiguous_innermost_masked_argmax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0260701Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0260853Z test_noncontiguous_innermost_masked_argmax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0260987Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0261137Z test_noncontiguous_innermost_masked_argmax_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0261270Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0261423Z test_noncontiguous_innermost_masked_argmax_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0261544Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0261694Z test_noncontiguous_innermost_masked_argmax_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0261880Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0262033Z test_noncontiguous_innermost_masked_argmax_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0262167Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0262316Z test_noncontiguous_innermost_masked_argmax_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0262452Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0262608Z test_noncontiguous_innermost_masked_argmin_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0262730Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0262921Z test_noncontiguous_innermost_masked_argmin_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0263056Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0263209Z test_noncontiguous_innermost_masked_argmin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0263344Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0263497Z test_noncontiguous_innermost_masked_argmin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0263632Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0263784Z test_noncontiguous_innermost_masked_argmin_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0263904Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0264058Z test_noncontiguous_innermost_masked_argmin_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0264199Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0264349Z test_noncontiguous_innermost_masked_argmin_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0264482Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0264638Z test_noncontiguous_innermost_masked_argmin_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0264775Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0264927Z test_noncontiguous_innermost_masked_argmin_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0265046Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0265207Z test_noncontiguous_innermost_masked_logsumexp_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0265342Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0265501Z test_noncontiguous_innermost_masked_logsumexp_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0265639Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0265798Z test_noncontiguous_innermost_masked_logsumexp_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0265931Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0266090Z test_noncontiguous_innermost_masked_logsumexp_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0266222Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0266364Z test_noncontiguous_innermost_masked_logsumexp_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0266498Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0266655Z test_noncontiguous_innermost_masked_logsumexp_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0266792Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0266952Z test_noncontiguous_innermost_masked_logsumexp_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0267086Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0267242Z test_noncontiguous_innermost_masked_logsumexp_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0267405Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0267549Z test_noncontiguous_innermost_masked_mean_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0267685Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0267838Z test_noncontiguous_innermost_masked_mean_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0267971Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0268127Z test_noncontiguous_innermost_masked_mean_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0268263Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0268476Z test_noncontiguous_innermost_masked_mean_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0268612Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0268752Z test_noncontiguous_innermost_masked_mean_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0268888Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0269041Z test_noncontiguous_innermost_masked_mean_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0269248Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0269402Z test_noncontiguous_innermost_masked_mean_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0269538Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0269688Z test_noncontiguous_innermost_masked_mean_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0269823Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0269958Z test_noncontiguous_innermost_masked_mean_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0270092Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0270239Z test_noncontiguous_innermost_masked_mean_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0270371Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0270520Z test_noncontiguous_innermost_masked_mean_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0270654Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0270802Z test_noncontiguous_innermost_masked_mean_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0270935Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0271079Z test_noncontiguous_innermost_masked_norm_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0271214Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0271365Z test_noncontiguous_innermost_masked_norm_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0271501Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0271653Z test_noncontiguous_innermost_masked_norm_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0271789Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0271939Z test_noncontiguous_innermost_masked_norm_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0272073Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0272214Z test_noncontiguous_innermost_masked_prod_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0272348Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0272496Z test_noncontiguous_innermost_masked_prod_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0272632Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0272787Z test_noncontiguous_innermost_masked_prod_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0272922Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0273111Z test_noncontiguous_innermost_masked_prod_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0273244Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0273385Z test_noncontiguous_innermost_masked_prod_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0273515Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0273666Z test_noncontiguous_innermost_masked_prod_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0273801Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0273985Z test_noncontiguous_innermost_masked_prod_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0274117Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0274265Z test_noncontiguous_innermost_masked_prod_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0274397Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0274529Z test_noncontiguous_innermost_masked_prod_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0274662Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0274812Z test_noncontiguous_innermost_masked_prod_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0274942Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0275091Z test_noncontiguous_innermost_masked_prod_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0275220Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0275375Z test_noncontiguous_innermost_masked_std_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0275509Z Tests reducing along noncontiguous innermost dimension. ... ok (0.002s) 2022-11-23T02:11:55.0275651Z test_noncontiguous_innermost_masked_std_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0275788Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0275941Z test_noncontiguous_innermost_masked_std_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0276072Z Tests reducing along noncontiguous innermost dimension. ... ok (0.002s) 2022-11-23T02:11:55.0276223Z test_noncontiguous_innermost_masked_std_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0276355Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0276505Z test_noncontiguous_innermost_masked_std_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0276640Z Tests reducing along noncontiguous innermost dimension. ... ok (0.002s) 2022-11-23T02:11:55.0276776Z test_noncontiguous_innermost_masked_std_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0276909Z Tests reducing along noncontiguous innermost dimension. ... ok (0.002s) 2022-11-23T02:11:55.0277057Z test_noncontiguous_innermost_masked_std_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0277189Z Tests reducing along noncontiguous innermost dimension. ... ok (0.002s) 2022-11-23T02:11:55.0277338Z test_noncontiguous_innermost_masked_std_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0277468Z Tests reducing along noncontiguous innermost dimension. ... ok (0.002s) 2022-11-23T02:11:55.0277613Z test_noncontiguous_innermost_masked_std_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0277744Z Tests reducing along noncontiguous innermost dimension. ... ok (0.002s) 2022-11-23T02:11:55.0277877Z test_noncontiguous_innermost_masked_std_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0278008Z Tests reducing along noncontiguous innermost dimension. ... ok (0.002s) 2022-11-23T02:11:55.0278161Z test_noncontiguous_innermost_masked_sum_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0278297Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0278478Z test_noncontiguous_innermost_masked_sum_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0278612Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0278765Z test_noncontiguous_innermost_masked_sum_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0278899Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0279042Z test_noncontiguous_innermost_masked_sum_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0279173Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0279325Z test_noncontiguous_innermost_masked_sum_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0279488Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0279637Z test_noncontiguous_innermost_masked_sum_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0279769Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0279921Z test_noncontiguous_innermost_masked_sum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0280054Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0280191Z test_noncontiguous_innermost_masked_sum_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0280321Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0280465Z test_noncontiguous_innermost_masked_sum_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0280596Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0280741Z test_noncontiguous_innermost_masked_sum_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0280870Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0281017Z test_noncontiguous_innermost_masked_sum_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0281150Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0281283Z test_noncontiguous_innermost_masked_sum_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0281412Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0281566Z test_noncontiguous_innermost_masked_var_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0281699Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0281853Z test_noncontiguous_innermost_masked_var_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0281985Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0282141Z test_noncontiguous_innermost_masked_var_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0282273Z Tests reducing along noncontiguous innermost dimension. ... ok (0.002s) 2022-11-23T02:11:55.0282411Z test_noncontiguous_innermost_masked_var_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0282543Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0282693Z test_noncontiguous_innermost_masked_var_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0282829Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0282977Z test_noncontiguous_innermost_masked_var_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0283111Z Tests reducing along noncontiguous innermost dimension. ... ok (0.002s) 2022-11-23T02:11:55.0283258Z test_noncontiguous_innermost_masked_var_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0283389Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0283524Z test_noncontiguous_innermost_masked_var_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0283656Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0283798Z test_noncontiguous_innermost_masked_var_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0283957Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0284105Z test_noncontiguous_innermost_masked_var_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0284235Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0284379Z test_noncontiguous_innermost_masked_var_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0284508Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0284641Z test_noncontiguous_innermost_mean_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0284807Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0284953Z test_noncontiguous_innermost_mean_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0285086Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0285233Z test_noncontiguous_innermost_mean_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0285363Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0285508Z test_noncontiguous_innermost_mean_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0285640Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0285774Z test_noncontiguous_innermost_mean_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0285906Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0286050Z test_noncontiguous_innermost_mean_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0286187Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0286336Z test_noncontiguous_innermost_nanmean_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0286466Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0286618Z test_noncontiguous_innermost_nanmean_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0286748Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0286879Z test_noncontiguous_innermost_nanmean_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0287011Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0287154Z test_noncontiguous_innermost_nanmean_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0287286Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0287428Z test_noncontiguous_innermost_nansum_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0287560Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0287703Z test_noncontiguous_innermost_nansum_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0287836Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0287970Z test_noncontiguous_innermost_nansum_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0288103Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0288248Z test_noncontiguous_innermost_nansum_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0288380Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0288522Z test_noncontiguous_innermost_nansum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0288653Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0288799Z test_noncontiguous_innermost_nansum_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0288935Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0289069Z test_noncontiguous_innermost_nansum_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0289201Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0289371Z test_noncontiguous_innermost_nansum_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0289505Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0289649Z test_noncontiguous_innermost_nansum_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0289780Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0289923Z test_noncontiguous_innermost_nansum_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0290057Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0290191Z test_noncontiguous_innermost_prod_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0290365Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0290506Z test_noncontiguous_innermost_prod_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0290638Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0290788Z test_noncontiguous_innermost_prod_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0290920Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0291068Z test_noncontiguous_innermost_prod_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0291201Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0291333Z test_noncontiguous_innermost_prod_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0291466Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0291610Z test_noncontiguous_innermost_prod_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0291746Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0291886Z test_noncontiguous_innermost_prod_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0292019Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0292163Z test_noncontiguous_innermost_prod_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0292298Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0292427Z test_noncontiguous_innermost_prod_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0292558Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0292699Z test_noncontiguous_innermost_prod_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0292831Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0292975Z test_noncontiguous_innermost_prod_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0293109Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0293253Z test_noncontiguous_innermost_std_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0293383Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0293521Z test_noncontiguous_innermost_std_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0293651Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0293798Z test_noncontiguous_innermost_std_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0293932Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0294073Z test_noncontiguous_innermost_std_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0294205Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0294347Z test_noncontiguous_innermost_std_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0294482Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0294610Z test_noncontiguous_innermost_std_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0294742Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0294913Z test_noncontiguous_innermost_sum_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0295051Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0295191Z test_noncontiguous_innermost_sum_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0295323Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0295469Z test_noncontiguous_innermost_sum_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0295588Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0295761Z test_noncontiguous_innermost_sum_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0295893Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0296037Z test_noncontiguous_innermost_sum_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0296170Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0296312Z test_noncontiguous_innermost_sum_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0296446Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0296585Z test_noncontiguous_innermost_sum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0296707Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0296843Z test_noncontiguous_innermost_sum_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0296980Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0297120Z test_noncontiguous_innermost_sum_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0297250Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0297388Z test_noncontiguous_innermost_sum_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0297518Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0297662Z test_noncontiguous_innermost_sum_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0297781Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0297916Z test_noncontiguous_innermost_sum_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0298050Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0298195Z test_noncontiguous_innermost_var_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0298325Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0298472Z test_noncontiguous_innermost_var_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0298602Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0298857Z test_noncontiguous_innermost_var_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0298981Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0299124Z test_noncontiguous_innermost_var_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0299258Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0299398Z test_noncontiguous_innermost_var_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0299531Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0299672Z test_noncontiguous_innermost_var_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0299803Z Tests reducing along noncontiguous innermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0299949Z test_noncontiguous_outermost_all_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0300068Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0300210Z test_noncontiguous_outermost_all_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0300386Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0300536Z test_noncontiguous_outermost_all_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0300668Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0300814Z test_noncontiguous_outermost_all_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0300946Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0301089Z test_noncontiguous_outermost_all_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0301209Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0301387Z test_noncontiguous_outermost_all_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0301521Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0301663Z test_noncontiguous_outermost_all_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0301798Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0301938Z test_noncontiguous_outermost_all_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0302072Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0302211Z test_noncontiguous_outermost_all_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0302331Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0302472Z test_noncontiguous_outermost_all_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0302605Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0302746Z test_noncontiguous_outermost_all_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0302879Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0303016Z test_noncontiguous_outermost_all_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0303150Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0303295Z test_noncontiguous_outermost_amax_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0303414Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0303553Z test_noncontiguous_outermost_amax_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0303685Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0303830Z test_noncontiguous_outermost_amax_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0303962Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0304108Z test_noncontiguous_outermost_amax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0304241Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0304384Z test_noncontiguous_outermost_amax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0304508Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0304649Z test_noncontiguous_outermost_amax_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0304780Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0304919Z test_noncontiguous_outermost_amax_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0305052Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0305191Z test_noncontiguous_outermost_amax_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0305325Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0305464Z test_noncontiguous_outermost_amax_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0305585Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0305727Z test_noncontiguous_outermost_amax_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0305888Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0306034Z test_noncontiguous_outermost_amin_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0306167Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0306306Z test_noncontiguous_outermost_amin_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0306441Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0306586Z test_noncontiguous_outermost_amin_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0306709Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0306882Z test_noncontiguous_outermost_amin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0307013Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0307158Z test_noncontiguous_outermost_amin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0307295Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0307437Z test_noncontiguous_outermost_amin_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0307572Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0307712Z test_noncontiguous_outermost_amin_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0307835Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0307977Z test_noncontiguous_outermost_amin_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0308112Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0308255Z test_noncontiguous_outermost_amin_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0308388Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0308530Z test_noncontiguous_outermost_amin_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0308665Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0308796Z test_noncontiguous_outermost_any_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0308929Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0309070Z test_noncontiguous_outermost_any_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0309279Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0309431Z test_noncontiguous_outermost_any_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0309564Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0309720Z test_noncontiguous_outermost_any_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0309856Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0309988Z test_noncontiguous_outermost_any_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0310127Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0310273Z test_noncontiguous_outermost_any_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0310408Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0310550Z test_noncontiguous_outermost_any_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0310683Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0310826Z test_noncontiguous_outermost_any_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0310959Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0311087Z test_noncontiguous_outermost_any_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0311221Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0311359Z test_noncontiguous_outermost_any_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0311526Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0311673Z test_noncontiguous_outermost_any_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0311809Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0311948Z test_noncontiguous_outermost_any_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0312086Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0312222Z test_noncontiguous_outermost_argmax_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0312357Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0312533Z test_noncontiguous_outermost_argmax_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0312666Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0312810Z test_noncontiguous_outermost_argmax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0312945Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0313087Z test_noncontiguous_outermost_argmax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0313220Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0313353Z test_noncontiguous_outermost_argmax_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0313484Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0313631Z test_noncontiguous_outermost_argmax_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0313767Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0313915Z test_noncontiguous_outermost_argmax_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0314052Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0314195Z test_noncontiguous_outermost_argmax_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0314330Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0314462Z test_noncontiguous_outermost_argmax_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0314595Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0314742Z test_noncontiguous_outermost_argmin_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0314876Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0315021Z test_noncontiguous_outermost_argmin_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0315152Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0315296Z test_noncontiguous_outermost_argmin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0315425Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0315554Z test_noncontiguous_outermost_argmin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0315686Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0315831Z test_noncontiguous_outermost_argmin_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0315966Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0316109Z test_noncontiguous_outermost_argmin_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0316243Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0316389Z test_noncontiguous_outermost_argmin_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0316524Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0316654Z test_noncontiguous_outermost_argmin_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0316786Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0316929Z test_noncontiguous_outermost_argmin_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0317096Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0317252Z test_noncontiguous_outermost_count_nonzero_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0317386Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0317538Z test_noncontiguous_outermost_count_nonzero_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0317671Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0317819Z test_noncontiguous_outermost_count_nonzero_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0317982Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0318139Z test_noncontiguous_outermost_count_nonzero_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0318271Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0318429Z test_noncontiguous_outermost_count_nonzero_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0318563Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0318720Z test_noncontiguous_outermost_count_nonzero_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0318853Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0318994Z test_noncontiguous_outermost_count_nonzero_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0319126Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0319276Z test_noncontiguous_outermost_count_nonzero_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0319411Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0319564Z test_noncontiguous_outermost_count_nonzero_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0319700Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0319852Z test_noncontiguous_outermost_count_nonzero_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0319985Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0320123Z test_noncontiguous_outermost_count_nonzero_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0320256Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0320404Z test_noncontiguous_outermost_count_nonzero_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0320538Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0320702Z test_noncontiguous_outermost_linalg_vector_norm_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0320833Z Tests reducing along noncontiguous outermost dimension. ... ok (0.002s) 2022-11-23T02:11:55.0320995Z test_noncontiguous_outermost_linalg_vector_norm_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0321129Z Tests reducing along noncontiguous outermost dimension. ... ok (0.002s) 2022-11-23T02:11:55.0321280Z test_noncontiguous_outermost_linalg_vector_norm_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0321414Z Tests reducing along noncontiguous outermost dimension. ... ok (0.002s) 2022-11-23T02:11:55.0321571Z test_noncontiguous_outermost_linalg_vector_norm_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0321703Z Tests reducing along noncontiguous outermost dimension. ... ok (0.002s) 2022-11-23T02:11:55.0321861Z test_noncontiguous_outermost_linalg_vector_norm_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0321995Z Tests reducing along noncontiguous outermost dimension. ... ok (0.002s) 2022-11-23T02:11:55.0322152Z test_noncontiguous_outermost_linalg_vector_norm_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0322284Z Tests reducing along noncontiguous outermost dimension. ... ok (0.002s) 2022-11-23T02:11:55.0322457Z test_noncontiguous_outermost_masked_amax_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0322593Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0322742Z test_noncontiguous_outermost_masked_amax_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0322875Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0323026Z test_noncontiguous_outermost_masked_amax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0323160Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0323309Z test_noncontiguous_outermost_masked_amax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0323473Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0323611Z test_noncontiguous_outermost_masked_amax_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0323742Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0323890Z test_noncontiguous_outermost_masked_amax_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0324023Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0324167Z test_noncontiguous_outermost_masked_amax_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0324296Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0324446Z test_noncontiguous_outermost_masked_amax_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0324574Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0324718Z test_noncontiguous_outermost_masked_amax_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0324837Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0324989Z test_noncontiguous_outermost_masked_amin_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0325119Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0325270Z test_noncontiguous_outermost_masked_amin_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0325402Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0325552Z test_noncontiguous_outermost_masked_amin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0325686Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0325835Z test_noncontiguous_outermost_masked_amin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0325957Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0326109Z test_noncontiguous_outermost_masked_amin_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0326245Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0326391Z test_noncontiguous_outermost_masked_amin_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0326525Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0326669Z test_noncontiguous_outermost_masked_amin_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0326802Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0326949Z test_noncontiguous_outermost_masked_amin_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0327068Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0327213Z test_noncontiguous_outermost_masked_amin_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0327347Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0327506Z test_noncontiguous_outermost_masked_argmax_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0327639Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0327792Z test_noncontiguous_outermost_masked_argmax_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0327958Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0328114Z test_noncontiguous_outermost_masked_argmax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0328236Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0328392Z test_noncontiguous_outermost_masked_argmax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0328529Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0328679Z test_noncontiguous_outermost_masked_argmax_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0328855Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0329009Z test_noncontiguous_outermost_masked_argmax_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0329143Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0329296Z test_noncontiguous_outermost_masked_argmax_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0329417Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0329569Z test_noncontiguous_outermost_masked_argmax_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0329703Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0329855Z test_noncontiguous_outermost_masked_argmax_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0329988Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0330143Z test_noncontiguous_outermost_masked_argmin_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0330278Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0330433Z test_noncontiguous_outermost_masked_argmin_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0330554Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0330710Z test_noncontiguous_outermost_masked_argmin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0330843Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0330996Z test_noncontiguous_outermost_masked_argmin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0331131Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0331280Z test_noncontiguous_outermost_masked_argmin_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0331414Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0331566Z test_noncontiguous_outermost_masked_argmin_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0331686Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0331837Z test_noncontiguous_outermost_masked_argmin_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0331972Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0332123Z test_noncontiguous_outermost_masked_argmin_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0332256Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0332406Z test_noncontiguous_outermost_masked_argmin_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0332539Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0332698Z test_noncontiguous_outermost_masked_logsumexp_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0332819Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0332977Z test_noncontiguous_outermost_masked_logsumexp_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0333110Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0333268Z test_noncontiguous_outermost_masked_logsumexp_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0333427Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0333583Z test_noncontiguous_outermost_masked_logsumexp_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0333716Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0333872Z test_noncontiguous_outermost_masked_logsumexp_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0333992Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0334142Z test_noncontiguous_outermost_masked_logsumexp_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0334302Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0334457Z test_noncontiguous_outermost_masked_logsumexp_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0334592Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0334749Z test_noncontiguous_outermost_masked_logsumexp_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0334886Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0335038Z test_noncontiguous_outermost_masked_mean_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0335159Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0335306Z test_noncontiguous_outermost_masked_mean_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0335440Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0335594Z test_noncontiguous_outermost_masked_mean_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0335730Z Tests reducing along noncontiguous outermost dimension. ... ok (0.002s) 2022-11-23T02:11:55.0335883Z test_noncontiguous_outermost_masked_mean_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0336018Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0336170Z test_noncontiguous_outermost_masked_mean_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0336290Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0336439Z test_noncontiguous_outermost_masked_mean_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0336575Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0336724Z test_noncontiguous_outermost_masked_mean_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0336857Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0337007Z test_noncontiguous_outermost_masked_mean_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0337140Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0337284Z test_noncontiguous_outermost_masked_mean_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0337406Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0337549Z test_noncontiguous_outermost_masked_mean_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0337681Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0337830Z test_noncontiguous_outermost_masked_mean_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0337962Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0338106Z test_noncontiguous_outermost_masked_mean_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0338237Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0338391Z test_noncontiguous_outermost_masked_norm_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0338510Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0338659Z test_noncontiguous_outermost_masked_norm_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0338966Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0339122Z test_noncontiguous_outermost_masked_norm_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0339255Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0339405Z test_noncontiguous_outermost_masked_norm_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0339538Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0339693Z test_noncontiguous_outermost_masked_prod_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0339812Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0339998Z test_noncontiguous_outermost_masked_prod_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0340129Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0340288Z test_noncontiguous_outermost_masked_prod_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0340422Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0340581Z test_noncontiguous_outermost_masked_prod_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0340715Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0340867Z test_noncontiguous_outermost_masked_prod_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0340984Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0341135Z test_noncontiguous_outermost_masked_prod_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0341271Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0341422Z test_noncontiguous_outermost_masked_prod_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0341555Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0341705Z test_noncontiguous_outermost_masked_prod_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0341839Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0341984Z test_noncontiguous_outermost_masked_prod_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0342104Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0342252Z test_noncontiguous_outermost_masked_prod_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0342383Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0342527Z test_noncontiguous_outermost_masked_prod_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0342661Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0342812Z test_noncontiguous_outermost_masked_std_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0342948Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0343106Z test_noncontiguous_outermost_masked_std_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0343228Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0343382Z test_noncontiguous_outermost_masked_std_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0343517Z Tests reducing along noncontiguous outermost dimension. ... ok (0.002s) 2022-11-23T02:11:55.0343670Z test_noncontiguous_outermost_masked_std_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0343804Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0343957Z test_noncontiguous_outermost_masked_std_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0344090Z Tests reducing along noncontiguous outermost dimension. ... ok (0.002s) 2022-11-23T02:11:55.0344238Z test_noncontiguous_outermost_masked_std_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0344390Z Tests reducing along noncontiguous outermost dimension. ... ok (0.002s) 2022-11-23T02:11:55.0344538Z test_noncontiguous_outermost_masked_std_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0344672Z Tests reducing along noncontiguous outermost dimension. ... ok (0.002s) 2022-11-23T02:11:55.0344814Z test_noncontiguous_outermost_masked_std_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0344945Z Tests reducing along noncontiguous outermost dimension. ... ok (0.002s) 2022-11-23T02:11:55.0345092Z test_noncontiguous_outermost_masked_std_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0345223Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0345395Z test_noncontiguous_outermost_masked_std_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0345513Z Tests reducing along noncontiguous outermost dimension. ... ok (0.002s) 2022-11-23T02:11:55.0345663Z test_noncontiguous_outermost_masked_sum_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0345800Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0345947Z test_noncontiguous_outermost_masked_sum_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0346080Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0346235Z test_noncontiguous_outermost_masked_sum_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0346371Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0346525Z test_noncontiguous_outermost_masked_sum_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0346648Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0346800Z test_noncontiguous_outermost_masked_sum_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0346933Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0347086Z test_noncontiguous_outermost_masked_sum_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0347222Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0347373Z test_noncontiguous_outermost_masked_sum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0347507Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0347656Z test_noncontiguous_outermost_masked_sum_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0347779Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0347925Z test_noncontiguous_outermost_masked_sum_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0348062Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0348206Z test_noncontiguous_outermost_masked_sum_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0348339Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0348487Z test_noncontiguous_outermost_masked_sum_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0348619Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0348769Z test_noncontiguous_outermost_masked_sum_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0348888Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0349040Z test_noncontiguous_outermost_masked_var_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0349256Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0349414Z test_noncontiguous_outermost_masked_var_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0349552Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0349707Z test_noncontiguous_outermost_masked_var_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0349843Z Tests reducing along noncontiguous outermost dimension. ... ok (0.002s) 2022-11-23T02:11:55.0350028Z test_noncontiguous_outermost_masked_var_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0350163Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0350303Z test_noncontiguous_outermost_masked_var_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0350436Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0350587Z test_noncontiguous_outermost_masked_var_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0350720Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0350868Z test_noncontiguous_outermost_masked_var_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0351031Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0351181Z test_noncontiguous_outermost_masked_var_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0351313Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0351447Z test_noncontiguous_outermost_masked_var_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0351581Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0351729Z test_noncontiguous_outermost_masked_var_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0351861Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0352006Z test_noncontiguous_outermost_masked_var_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0352138Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0352288Z test_noncontiguous_outermost_mean_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0352411Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0352562Z test_noncontiguous_outermost_mean_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0352698Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0352846Z test_noncontiguous_outermost_mean_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0352981Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0353125Z test_noncontiguous_outermost_mean_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0353260Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0353409Z test_noncontiguous_outermost_mean_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0353533Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0353680Z test_noncontiguous_outermost_mean_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0353812Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0353961Z test_noncontiguous_outermost_nanmean_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0354096Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0354244Z test_noncontiguous_outermost_nanmean_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0354375Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0354518Z test_noncontiguous_outermost_nanmean_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0354636Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0354782Z test_noncontiguous_outermost_nanmean_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0354912Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0355059Z test_noncontiguous_outermost_nansum_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0355188Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0355333Z test_noncontiguous_outermost_nansum_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0355530Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0355677Z test_noncontiguous_outermost_nansum_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0355799Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0355939Z test_noncontiguous_outermost_nansum_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0356074Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0356216Z test_noncontiguous_outermost_nansum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0356346Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0356523Z test_noncontiguous_outermost_nansum_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0356657Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0356803Z test_noncontiguous_outermost_nansum_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0356926Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0357072Z test_noncontiguous_outermost_nansum_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0357206Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0357350Z test_noncontiguous_outermost_nansum_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0357485Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0357630Z test_noncontiguous_outermost_nansum_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0357766Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0357918Z test_noncontiguous_outermost_prod_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0358039Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0358183Z test_noncontiguous_outermost_prod_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0358317Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0358466Z test_noncontiguous_outermost_prod_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0358600Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0358750Z test_noncontiguous_outermost_prod_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0358880Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0359026Z test_noncontiguous_outermost_prod_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0359152Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0359294Z test_noncontiguous_outermost_prod_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0359428Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0359570Z test_noncontiguous_outermost_prod_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0359707Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0359847Z test_noncontiguous_outermost_prod_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0359980Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0360120Z test_noncontiguous_outermost_prod_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0360241Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0360380Z test_noncontiguous_outermost_prod_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0360516Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0360656Z test_noncontiguous_outermost_prod_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0360789Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0360966Z test_noncontiguous_outermost_std_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0361101Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0361251Z test_noncontiguous_outermost_std_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0361372Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0361518Z test_noncontiguous_outermost_std_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0361652Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0361793Z test_noncontiguous_outermost_std_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0361954Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0362094Z test_noncontiguous_outermost_std_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0362225Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0362368Z test_noncontiguous_outermost_std_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0362489Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0362632Z test_noncontiguous_outermost_sum_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0362764Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0362905Z test_noncontiguous_outermost_sum_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0363037Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0363187Z test_noncontiguous_outermost_sum_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0363321Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0363465Z test_noncontiguous_outermost_sum_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0363586Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0363728Z test_noncontiguous_outermost_sum_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0363862Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0364003Z test_noncontiguous_outermost_sum_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0364138Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0364282Z test_noncontiguous_outermost_sum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0364414Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0364554Z test_noncontiguous_outermost_sum_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0364678Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0364818Z test_noncontiguous_outermost_sum_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0364949Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0365088Z test_noncontiguous_outermost_sum_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0365220Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0365361Z test_noncontiguous_outermost_sum_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0365492Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0365628Z test_noncontiguous_outermost_sum_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0365749Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0365894Z test_noncontiguous_outermost_var_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0366027Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0366175Z test_noncontiguous_outermost_var_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0366305Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0366481Z test_noncontiguous_outermost_var_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0366617Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0366758Z test_noncontiguous_outermost_var_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0366878Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0367020Z test_noncontiguous_outermost_var_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0367154Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0367294Z test_noncontiguous_outermost_var_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0367470Z Tests reducing along noncontiguous outermost dimension. ... ok (0.001s) 2022-11-23T02:11:55.0367616Z test_noncontiguous_transposed_all_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0367727Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0367872Z test_noncontiguous_transposed_all_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0367970Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0368120Z test_noncontiguous_transposed_all_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0368235Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0368389Z test_noncontiguous_transposed_all_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0368499Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0368645Z test_noncontiguous_transposed_all_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0368753Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0368889Z test_noncontiguous_transposed_all_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0368997Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0369140Z test_noncontiguous_transposed_all_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0369250Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0369391Z test_noncontiguous_transposed_all_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0369498Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0369639Z test_noncontiguous_transposed_all_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0369747Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0369873Z test_noncontiguous_transposed_all_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0369980Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0370121Z test_noncontiguous_transposed_all_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0370231Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0370374Z test_noncontiguous_transposed_all_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0370482Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0370633Z test_noncontiguous_transposed_amax_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0370727Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0370867Z test_noncontiguous_transposed_amax_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0370976Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0371122Z test_noncontiguous_transposed_amax_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0371227Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0371373Z test_noncontiguous_transposed_amax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0371480Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0371625Z test_noncontiguous_transposed_amax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0371720Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0371860Z test_noncontiguous_transposed_amax_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0371994Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0372136Z test_noncontiguous_transposed_amax_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0372244Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0372384Z test_noncontiguous_transposed_amax_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0372488Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0372629Z test_noncontiguous_transposed_amax_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0372723Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0372860Z test_noncontiguous_transposed_amax_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0373001Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0373147Z test_noncontiguous_transposed_amin_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0373256Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0373403Z test_noncontiguous_transposed_amin_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0373510Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0373643Z test_noncontiguous_transposed_amin_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0373749Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0373893Z test_noncontiguous_transposed_amin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0374000Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0374145Z test_noncontiguous_transposed_amin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0374252Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0374396Z test_noncontiguous_transposed_amin_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0374503Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0374632Z test_noncontiguous_transposed_amin_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0374740Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0374883Z test_noncontiguous_transposed_amin_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0374987Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0375129Z test_noncontiguous_transposed_amin_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0375235Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0375375Z test_noncontiguous_transposed_amin_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0375480Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0375611Z test_noncontiguous_transposed_any_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0375721Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0375863Z test_noncontiguous_transposed_any_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0375970Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0376121Z test_noncontiguous_transposed_any_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0376229Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0376379Z test_noncontiguous_transposed_any_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0376475Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0376620Z test_noncontiguous_transposed_any_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0376727Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0376872Z test_noncontiguous_transposed_any_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0376978Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0377126Z test_noncontiguous_transposed_any_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0377232Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0377373Z test_noncontiguous_transposed_any_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0377497Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0377639Z test_noncontiguous_transposed_any_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0377747Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0377888Z test_noncontiguous_transposed_any_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0377994Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0378137Z test_noncontiguous_transposed_any_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0378244Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0378385Z test_noncontiguous_transposed_any_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0378508Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0378659Z test_noncontiguous_transposed_argmax_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0378883Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0379034Z test_noncontiguous_transposed_argmax_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0379142Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0379291Z test_noncontiguous_transposed_argmax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0379401Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0379535Z test_noncontiguous_transposed_argmax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0379644Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0379791Z test_noncontiguous_transposed_argmax_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0379902Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0380048Z test_noncontiguous_transposed_argmax_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0380155Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0380299Z test_noncontiguous_transposed_argmax_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0380411Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0380543Z test_noncontiguous_transposed_argmax_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0380650Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0380793Z test_noncontiguous_transposed_argmax_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0380900Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0381053Z test_noncontiguous_transposed_argmin_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0381162Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0381315Z test_noncontiguous_transposed_argmin_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0381426Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0381563Z test_noncontiguous_transposed_argmin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0381672Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0381822Z test_noncontiguous_transposed_argmin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0381933Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0382080Z test_noncontiguous_transposed_argmin_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0382186Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0382330Z test_noncontiguous_transposed_argmin_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0382424Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0382568Z test_noncontiguous_transposed_argmin_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0382676Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0382821Z test_noncontiguous_transposed_argmin_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0382927Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0383069Z test_noncontiguous_transposed_argmin_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0383220Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0383382Z test_noncontiguous_transposed_count_nonzero_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0383478Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0383632Z test_noncontiguous_transposed_count_nonzero_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0383743Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0383905Z test_noncontiguous_transposed_count_nonzero_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0384015Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0384292Z test_noncontiguous_transposed_count_nonzero_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0384876Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0385278Z test_noncontiguous_transposed_count_nonzero_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0385577Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0385878Z test_noncontiguous_transposed_count_nonzero_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0386155Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0386450Z test_noncontiguous_transposed_count_nonzero_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0386747Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0387028Z test_noncontiguous_transposed_count_nonzero_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0387318Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0387615Z test_noncontiguous_transposed_count_nonzero_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0387902Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0388181Z test_noncontiguous_transposed_count_nonzero_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0388469Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0388764Z test_noncontiguous_transposed_count_nonzero_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0389038Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0389411Z test_noncontiguous_transposed_count_nonzero_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0389703Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0390008Z test_noncontiguous_transposed_linalg_vector_norm_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0390294Z Tests reducing a transposed tensor. ... ok (0.002s) 2022-11-23T02:11:55.0390597Z test_noncontiguous_transposed_linalg_vector_norm_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0390905Z Tests reducing a transposed tensor. ... ok (0.002s) 2022-11-23T02:11:55.0391196Z test_noncontiguous_transposed_linalg_vector_norm_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0391497Z Tests reducing a transposed tensor. ... ok (0.002s) 2022-11-23T02:11:55.0391796Z test_noncontiguous_transposed_linalg_vector_norm_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0392091Z Tests reducing a transposed tensor. ... ok (0.002s) 2022-11-23T02:11:55.0392377Z test_noncontiguous_transposed_linalg_vector_norm_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0392669Z Tests reducing a transposed tensor. ... ok (0.002s) 2022-11-23T02:11:55.0392963Z test_noncontiguous_transposed_linalg_vector_norm_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0393238Z Tests reducing a transposed tensor. ... ok (0.002s) 2022-11-23T02:11:55.0393533Z test_noncontiguous_transposed_masked_amax_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0393821Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0394100Z test_noncontiguous_transposed_masked_amax_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0394389Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0394769Z test_noncontiguous_transposed_masked_amax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0395062Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0395340Z test_noncontiguous_transposed_masked_amax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0395628Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0395915Z test_noncontiguous_transposed_masked_amax_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0396197Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0396471Z test_noncontiguous_transposed_masked_amax_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0396785Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0397077Z test_noncontiguous_transposed_masked_amax_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0397351Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0397645Z test_noncontiguous_transposed_masked_amax_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0397940Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0420264Z test_noncontiguous_transposed_masked_amax_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0420546Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0420839Z test_noncontiguous_transposed_masked_amin_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0421154Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0421465Z test_noncontiguous_transposed_masked_amin_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0421745Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0422040Z test_noncontiguous_transposed_masked_amin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0422329Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0422635Z test_noncontiguous_transposed_masked_amin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0422911Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0423206Z test_noncontiguous_transposed_masked_amin_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0423491Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0423765Z test_noncontiguous_transposed_masked_amin_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0424052Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0424337Z test_noncontiguous_transposed_masked_amin_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0424609Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0424930Z test_noncontiguous_transposed_masked_amin_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0425230Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0425522Z test_noncontiguous_transposed_masked_amin_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0425795Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0426098Z test_noncontiguous_transposed_masked_argmax_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0426394Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0426691Z test_noncontiguous_transposed_masked_argmax_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0426977Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0427396Z test_noncontiguous_transposed_masked_argmax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0427805Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0428338Z test_noncontiguous_transposed_masked_argmax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0428731Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0429023Z test_noncontiguous_transposed_masked_argmax_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0429375Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0429752Z test_noncontiguous_transposed_masked_argmax_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0430041Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0430330Z test_noncontiguous_transposed_masked_argmax_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0430601Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0430890Z test_noncontiguous_transposed_masked_argmax_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0431175Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0431450Z test_noncontiguous_transposed_masked_argmax_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0431773Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0432066Z test_noncontiguous_transposed_masked_argmin_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0432352Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0432634Z test_noncontiguous_transposed_masked_argmin_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0432923Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0433212Z test_noncontiguous_transposed_masked_argmin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0433485Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0433772Z test_noncontiguous_transposed_masked_argmin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0434052Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0434342Z test_noncontiguous_transposed_masked_argmin_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0434613Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0434901Z test_noncontiguous_transposed_masked_argmin_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0435185Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0435458Z test_noncontiguous_transposed_masked_argmin_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0435743Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0436031Z test_noncontiguous_transposed_masked_argmin_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0436302Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0436594Z test_noncontiguous_transposed_masked_argmin_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0436877Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0437174Z test_noncontiguous_transposed_masked_logsumexp_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0437455Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0437756Z test_noncontiguous_transposed_masked_logsumexp_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0438049Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0438332Z test_noncontiguous_transposed_masked_logsumexp_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0438622Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0438917Z test_noncontiguous_transposed_masked_logsumexp_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0439207Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0439490Z test_noncontiguous_transposed_masked_logsumexp_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0439779Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0440071Z test_noncontiguous_transposed_masked_logsumexp_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0440349Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0440641Z test_noncontiguous_transposed_masked_logsumexp_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0440930Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0441213Z test_noncontiguous_transposed_masked_logsumexp_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0441505Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0441828Z test_noncontiguous_transposed_masked_mean_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0442117Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0442394Z test_noncontiguous_transposed_masked_mean_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0442677Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0442969Z test_noncontiguous_transposed_masked_mean_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0443245Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0443535Z test_noncontiguous_transposed_masked_mean_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0443876Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0444278Z test_noncontiguous_transposed_masked_mean_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0444556Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0444849Z test_noncontiguous_transposed_masked_mean_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0445136Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0445409Z test_noncontiguous_transposed_masked_mean_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0445696Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0445989Z test_noncontiguous_transposed_masked_mean_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0446260Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0446551Z test_noncontiguous_transposed_masked_mean_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0446837Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0447122Z test_noncontiguous_transposed_masked_mean_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0447390Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0447679Z test_noncontiguous_transposed_masked_mean_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0447964Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0448239Z test_noncontiguous_transposed_masked_mean_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0448524Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0448821Z test_noncontiguous_transposed_masked_norm_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0449098Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0449390Z test_noncontiguous_transposed_masked_norm_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0449675Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0449963Z test_noncontiguous_transposed_masked_norm_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0450233Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0450522Z test_noncontiguous_transposed_masked_norm_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0450811Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0451090Z test_noncontiguous_transposed_masked_prod_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0451374Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0451691Z test_noncontiguous_transposed_masked_prod_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0452169Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0452681Z test_noncontiguous_transposed_masked_prod_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0452978Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0453276Z test_noncontiguous_transposed_masked_prod_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0453581Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0453870Z test_noncontiguous_transposed_masked_prod_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0454155Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0454472Z test_noncontiguous_transposed_masked_prod_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0454756Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0455046Z test_noncontiguous_transposed_masked_prod_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0455329Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0455600Z test_noncontiguous_transposed_masked_prod_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0455883Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0456170Z test_noncontiguous_transposed_masked_prod_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0456469Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0456757Z test_noncontiguous_transposed_masked_prod_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0457038Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0457314Z test_noncontiguous_transposed_masked_prod_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0457591Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0457880Z test_noncontiguous_transposed_masked_std_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0458163Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0458442Z test_noncontiguous_transposed_masked_std_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0458729Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0459210Z test_noncontiguous_transposed_masked_std_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0459486Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0459782Z test_noncontiguous_transposed_masked_std_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0460067Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0460353Z test_noncontiguous_transposed_masked_std_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0460621Z Tests reducing a transposed tensor. ... ok (0.002s) 2022-11-23T02:11:55.0460909Z test_noncontiguous_transposed_masked_std_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0461189Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0461465Z test_noncontiguous_transposed_masked_std_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0461740Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0462022Z test_noncontiguous_transposed_masked_std_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0462290Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0462580Z test_noncontiguous_transposed_masked_std_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0462863Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0463150Z test_noncontiguous_transposed_masked_std_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0463416Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0463705Z test_noncontiguous_transposed_masked_sum_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0463989Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0464261Z test_noncontiguous_transposed_masked_sum_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0464543Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0464834Z test_noncontiguous_transposed_masked_sum_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0465120Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0465399Z test_noncontiguous_transposed_masked_sum_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0465684Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0465967Z test_noncontiguous_transposed_masked_sum_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0466233Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0466572Z test_noncontiguous_transposed_masked_sum_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0466859Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0467132Z test_noncontiguous_transposed_masked_sum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0467412Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0467697Z test_noncontiguous_transposed_masked_sum_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0467978Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0468251Z test_noncontiguous_transposed_masked_sum_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0468568Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0468852Z test_noncontiguous_transposed_masked_sum_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0469121Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0469459Z test_noncontiguous_transposed_masked_sum_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0469742Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0470017Z test_noncontiguous_transposed_masked_sum_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0470297Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0470586Z test_noncontiguous_transposed_masked_var_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0470870Z Tests reducing a transposed tensor. ... ok (0.002s) 2022-11-23T02:11:55.0471148Z test_noncontiguous_transposed_masked_var_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0471437Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0471730Z test_noncontiguous_transposed_masked_var_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0472003Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0472288Z test_noncontiguous_transposed_masked_var_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0472571Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0472856Z test_noncontiguous_transposed_masked_var_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0473122Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0473407Z test_noncontiguous_transposed_masked_var_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0473687Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0473960Z test_noncontiguous_transposed_masked_var_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0474243Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0474675Z test_noncontiguous_transposed_masked_var_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0475185Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0475524Z test_noncontiguous_transposed_masked_var_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0475801Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0476088Z test_noncontiguous_transposed_masked_var_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0476357Z Tests reducing a transposed tensor. ... ok (0.002s) 2022-11-23T02:11:55.0476642Z test_noncontiguous_transposed_masked_var_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0476922Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0477194Z test_noncontiguous_transposed_mean_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0477473Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0477759Z test_noncontiguous_transposed_mean_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0478031Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0478314Z test_noncontiguous_transposed_mean_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0478594Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0478877Z test_noncontiguous_transposed_mean_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0479190Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0479478Z test_noncontiguous_transposed_mean_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0479753Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0480020Z test_noncontiguous_transposed_mean_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0480301Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0480586Z test_noncontiguous_transposed_nanmean_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0480869Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0481176Z test_noncontiguous_transposed_nanmean_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0481459Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0481745Z test_noncontiguous_transposed_nanmean_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0482018Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0482302Z test_noncontiguous_transposed_nanmean_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0482583Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0482858Z test_noncontiguous_transposed_nansum_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0483138Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0483421Z test_noncontiguous_transposed_nansum_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0483699Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0483971Z test_noncontiguous_transposed_nansum_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0484256Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0484541Z test_noncontiguous_transposed_nansum_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0484811Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0485096Z test_noncontiguous_transposed_nansum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0485375Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0485644Z test_noncontiguous_transposed_nansum_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0485922Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0486209Z test_noncontiguous_transposed_nansum_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0486487Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0486752Z test_noncontiguous_transposed_nansum_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0487029Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0487319Z test_noncontiguous_transposed_nansum_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0487584Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0487862Z test_noncontiguous_transposed_nansum_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0488142Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0488413Z test_noncontiguous_transposed_prod_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0488694Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0488978Z test_noncontiguous_transposed_prod_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0489256Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0489530Z test_noncontiguous_transposed_prod_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0489817Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0490104Z test_noncontiguous_transposed_prod_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0490376Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0490657Z test_noncontiguous_transposed_prod_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0490934Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0491238Z test_noncontiguous_transposed_prod_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0491514Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0491796Z test_noncontiguous_transposed_prod_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0492072Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0492339Z test_noncontiguous_transposed_prod_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0492618Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0492899Z test_noncontiguous_transposed_prod_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0493162Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0493471Z test_noncontiguous_transposed_prod_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0493747Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0494026Z test_noncontiguous_transposed_prod_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0494292Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0494575Z test_noncontiguous_transposed_std_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0494852Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0495127Z test_noncontiguous_transposed_std_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0495406Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0495692Z test_noncontiguous_transposed_std_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0495964Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0496244Z test_noncontiguous_transposed_std_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0496525Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0496805Z test_noncontiguous_transposed_std_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0497072Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0497357Z test_noncontiguous_transposed_std_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0497633Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0497901Z test_noncontiguous_transposed_sum_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0498179Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0498456Z test_noncontiguous_transposed_sum_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0498720Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0499128Z test_noncontiguous_transposed_sum_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0499412Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0499697Z test_noncontiguous_transposed_sum_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0499965Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0500245Z test_noncontiguous_transposed_sum_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0500522Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0500790Z test_noncontiguous_transposed_sum_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0501064Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0501345Z test_noncontiguous_transposed_sum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0501609Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0501887Z test_noncontiguous_transposed_sum_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0502160Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0502438Z test_noncontiguous_transposed_sum_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0502696Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0502974Z test_noncontiguous_transposed_sum_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0503243Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0503560Z test_noncontiguous_transposed_sum_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0503837Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0504119Z test_noncontiguous_transposed_sum_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0504381Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0504661Z test_noncontiguous_transposed_var_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0504937Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0505221Z test_noncontiguous_transposed_var_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0505525Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0505809Z test_noncontiguous_transposed_var_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0506086Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0506355Z test_noncontiguous_transposed_var_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0506632Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0506911Z test_noncontiguous_transposed_var_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0507172Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0507449Z test_noncontiguous_transposed_var_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0507721Z Tests reducing a transposed tensor. ... ok (0.001s) 2022-11-23T02:11:55.0507992Z test_numpy_named_args_cpu (__main__.TestReductionsCPU) ... ok (0.001s) 2022-11-23T02:11:55.0508266Z test_prod_bool_cpu (__main__.TestReductionsCPU) ... ok (0.002s) 2022-11-23T02:11:55.0508548Z test_prod_cpu_float32 (__main__.TestReductionsCPU) ... ok (0.001s) 2022-11-23T02:11:55.0508857Z test_prod_gpu_cpu_float16 (__main__.TestReductionsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:11:55.0509264Z test_prod_gpu_cpu_float32 (__main__.TestReductionsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:11:55.0509584Z test_prod_integer_upcast_cpu (__main__.TestReductionsCPU) ... ok (0.213s) 2022-11-23T02:11:55.0509884Z test_quantile_backward_cpu (__main__.TestReductionsCPU) ... ok (0.008s) 2022-11-23T02:11:55.0510521Z test_quantile_cpu_float32 (__main__.TestReductionsCPU) ... /opt/conda/lib/python3.7/site-packages/numpy/lib/nanfunctions.py:1372: RuntimeWarning: All-NaN slice encountered 2022-11-23T02:11:55.0510905Z overwrite_input=overwrite_input, interpolation=interpolation 2022-11-23T02:11:55.0511346Z /opt/conda/lib/python3.7/site-packages/numpy/lib/nanfunctions.py:1392: RuntimeWarning: All-NaN slice encountered 2022-11-23T02:11:55.0511650Z overwrite_input, interpolation) 2022-11-23T02:11:55.0511834Z ok (3.528s) 2022-11-23T02:11:55.0512064Z test_quantile_cpu_float64 (__main__.TestReductionsCPU) ... ok (3.424s) 2022-11-23T02:11:55.0512355Z test_quantile_error_cpu (__main__.TestReductionsCPU) ... ok (0.028s) 2022-11-23T02:11:55.0512645Z test_reduce_dtype_cpu (__main__.TestReductionsCPU) ... ok (0.005s) 2022-11-23T02:11:55.0512933Z test_reduction_empty_any_all_cpu (__main__.TestReductionsCPU) ... ok (0.010s) 2022-11-23T02:11:55.0513255Z test_reduction_split_cpu (__main__.TestReductionsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:11:55.0513630Z test_reduction_vectorize_along_input_corner_cpu_bfloat16 (__main__.TestReductionsCPU) ... skip: Only runs on cuda (0.004s) 2022-11-23T02:11:55.0514019Z test_reduction_vectorize_along_input_corner_cpu_float16 (__main__.TestReductionsCPU) ... skip: Only runs on cuda (0.004s) 2022-11-23T02:11:55.0514414Z test_reduction_vectorize_along_input_corner_cpu_float32 (__main__.TestReductionsCPU) ... skip: Only runs on cuda (0.004s) 2022-11-23T02:11:55.0514805Z test_reduction_vectorize_along_input_corner_cpu_float64 (__main__.TestReductionsCPU) ... skip: Only runs on cuda (0.004s) 2022-11-23T02:11:55.0515187Z test_reduction_vectorize_along_output_cpu_bfloat16 (__main__.TestReductionsCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:11:55.0515598Z test_reduction_vectorize_along_output_cpu_float16 (__main__.TestReductionsCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:11:55.0515978Z test_reduction_vectorize_along_output_cpu_float32 (__main__.TestReductionsCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:11:55.0516349Z test_reduction_vectorize_along_output_cpu_float64 (__main__.TestReductionsCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:11:55.0516718Z test_reductions_large_half_tensors_cpu_bfloat16 (__main__.TestReductionsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:11:55.0517084Z test_reductions_large_half_tensors_cpu_complex32 (__main__.TestReductionsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:11:55.0517532Z test_reductions_large_half_tensors_cpu_float16 (__main__.TestReductionsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:11:55.0517864Z test_ref_duplicate_values_all_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0518184Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0518494Z test_ref_duplicate_values_all_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0518814Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0519131Z test_ref_duplicate_values_all_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0519468Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0519782Z test_ref_duplicate_values_all_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0520099Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0520415Z test_ref_duplicate_values_all_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0520717Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0521025Z test_ref_duplicate_values_all_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0521338Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0521632Z test_ref_duplicate_values_all_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0521941Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0522248Z test_ref_duplicate_values_all_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0522559Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0522852Z test_ref_duplicate_values_all_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0523161Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0523469Z test_ref_duplicate_values_all_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0523768Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0524076Z test_ref_duplicate_values_all_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0524385Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0524690Z test_ref_duplicate_values_amax_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0524990Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0525297Z test_ref_duplicate_values_amax_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0525610Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0525908Z test_ref_duplicate_values_amax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0526218Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0526527Z test_ref_duplicate_values_amax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0526835Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0527162Z test_ref_duplicate_values_amax_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0527475Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0527780Z test_ref_duplicate_values_amax_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0528076Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0528378Z test_ref_duplicate_values_amax_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0528686Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0529039Z test_ref_duplicate_values_amax_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0529335Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0529646Z test_ref_duplicate_values_amax_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0529957Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0530253Z test_ref_duplicate_values_amin_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0530562Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0530870Z test_ref_duplicate_values_amin_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0531183Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0531480Z test_ref_duplicate_values_amin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0531790Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0532101Z test_ref_duplicate_values_amin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0532401Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0532705Z test_ref_duplicate_values_amin_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0533019Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0533315Z test_ref_duplicate_values_amin_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0533625Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0533932Z test_ref_duplicate_values_amin_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0534239Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0534536Z test_ref_duplicate_values_amin_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0534851Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0535163Z test_ref_duplicate_values_amin_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0535463Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0535770Z test_ref_duplicate_values_any_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0536081Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0536393Z test_ref_duplicate_values_any_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0536699Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0537009Z test_ref_duplicate_values_any_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0537322Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0537617Z test_ref_duplicate_values_any_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0537931Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0538236Z test_ref_duplicate_values_any_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0538550Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0539103Z test_ref_duplicate_values_any_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0539424Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0539731Z test_ref_duplicate_values_any_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0540031Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0540337Z test_ref_duplicate_values_any_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0540645Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0540996Z test_ref_duplicate_values_any_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0541294Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0541596Z test_ref_duplicate_values_any_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0541904Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0542198Z test_ref_duplicate_values_any_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0542507Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0542819Z test_ref_duplicate_values_argmax_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0543129Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0543426Z test_ref_duplicate_values_argmax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0543742Z Compares op against reference for input tensors with duplicate values ... ok (0.001s) 2022-11-23T02:11:55.0544057Z test_ref_duplicate_values_argmax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0544356Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0544812Z test_ref_duplicate_values_argmax_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0545383Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0545712Z test_ref_duplicate_values_argmax_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0546014Z Compares op against reference for input tensors with duplicate values ... ok (0.001s) 2022-11-23T02:11:55.0546319Z test_ref_duplicate_values_argmax_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0546630Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0546929Z test_ref_duplicate_values_argmax_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0547244Z Compares op against reference for input tensors with duplicate values ... ok (0.001s) 2022-11-23T02:11:55.0547554Z test_ref_duplicate_values_argmax_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0547867Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0548168Z test_ref_duplicate_values_argmin_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0548484Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0548795Z test_ref_duplicate_values_argmin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0549100Z Compares op against reference for input tensors with duplicate values ... ok (0.001s) 2022-11-23T02:11:55.0549478Z test_ref_duplicate_values_argmin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0549794Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0550105Z test_ref_duplicate_values_argmin_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0550409Z Compares op against reference for input tensors with duplicate values ... ok (0.001s) 2022-11-23T02:11:55.0550718Z test_ref_duplicate_values_argmin_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0551071Z Compares op against reference for input tensors with duplicate values ... ok (0.001s) 2022-11-23T02:11:55.0551365Z test_ref_duplicate_values_argmin_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0551679Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0551990Z test_ref_duplicate_values_argmin_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0552302Z Compares op against reference for input tensors with duplicate values ... ok (0.001s) 2022-11-23T02:11:55.0552604Z test_ref_duplicate_values_argmin_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0552917Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0553267Z test_ref_duplicate_values_count_nonzero_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0553574Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0553894Z test_ref_duplicate_values_count_nonzero_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0554220Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0554549Z test_ref_duplicate_values_count_nonzero_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0554862Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0555185Z test_ref_duplicate_values_count_nonzero_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0555503Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0555810Z test_ref_duplicate_values_count_nonzero_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0556135Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0556456Z test_ref_duplicate_values_count_nonzero_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0556775Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0557084Z test_ref_duplicate_values_count_nonzero_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0557410Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0557557Z test_ref_duplicate_values_count_nonzero_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0557710Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0557854Z test_ref_duplicate_values_count_nonzero_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0558005Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0558142Z test_ref_duplicate_values_count_nonzero_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0558293Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0558437Z test_ref_duplicate_values_count_nonzero_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0558587Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0558732Z test_ref_duplicate_values_masked_amax_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0572809Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0573031Z test_ref_duplicate_values_masked_amax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0573196Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0573349Z test_ref_duplicate_values_masked_amax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0573500Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0573651Z test_ref_duplicate_values_masked_amax_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0573805Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0574033Z test_ref_duplicate_values_masked_amax_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0574191Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0574338Z test_ref_duplicate_values_masked_amax_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0574490Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0574635Z test_ref_duplicate_values_masked_amax_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0574772Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0574960Z test_ref_duplicate_values_masked_amax_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0575111Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0575246Z test_ref_duplicate_values_masked_amin_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0575403Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0575550Z test_ref_duplicate_values_masked_amin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0575703Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0575850Z test_ref_duplicate_values_masked_amin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0576002Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0576147Z test_ref_duplicate_values_masked_amin_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0576303Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0576435Z test_ref_duplicate_values_masked_amin_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0576586Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0576743Z test_ref_duplicate_values_masked_amin_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0576894Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0577037Z test_ref_duplicate_values_masked_amin_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0577184Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0577325Z test_ref_duplicate_values_masked_amin_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0577474Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0577629Z test_ref_duplicate_values_masked_argmax_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0577768Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0577914Z test_ref_duplicate_values_masked_argmax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0578063Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0578211Z test_ref_duplicate_values_masked_argmax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0578358Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0578506Z test_ref_duplicate_values_masked_argmax_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0578653Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0578926Z test_ref_duplicate_values_masked_argmax_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0579065Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0579213Z test_ref_duplicate_values_masked_argmax_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0579362Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0579559Z test_ref_duplicate_values_masked_argmax_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0579712Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0579859Z test_ref_duplicate_values_masked_argmax_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0580013Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0580161Z test_ref_duplicate_values_masked_argmin_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0580297Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0580442Z test_ref_duplicate_values_masked_argmin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0580632Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0580779Z test_ref_duplicate_values_masked_argmin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0580926Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0581076Z test_ref_duplicate_values_masked_argmin_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0581224Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0581368Z test_ref_duplicate_values_masked_argmin_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0581516Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0581650Z test_ref_duplicate_values_masked_argmin_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0581799Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0581952Z test_ref_duplicate_values_masked_argmin_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0582099Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0582247Z test_ref_duplicate_values_masked_argmin_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0582397Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0582541Z test_ref_duplicate_values_masked_prod_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0582688Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0582829Z test_ref_duplicate_values_masked_prod_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0582978Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0583131Z test_ref_duplicate_values_masked_prod_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0583281Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0583430Z test_ref_duplicate_values_masked_prod_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0583579Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0583725Z test_ref_duplicate_values_masked_prod_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0583874Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0584006Z test_ref_duplicate_values_masked_prod_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0584153Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0584300Z test_ref_duplicate_values_masked_prod_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0584450Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0584596Z test_ref_duplicate_values_masked_prod_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0584743Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0584890Z test_ref_duplicate_values_masked_prod_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0585070Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0585214Z test_ref_duplicate_values_masked_prod_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0585350Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0585493Z test_ref_duplicate_values_masked_sum_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0585643Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0585790Z test_ref_duplicate_values_masked_sum_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0585969Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0586119Z test_ref_duplicate_values_masked_sum_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0586268Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0586418Z test_ref_duplicate_values_masked_sum_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0586554Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0586698Z test_ref_duplicate_values_masked_sum_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0586847Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0586991Z test_ref_duplicate_values_masked_sum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0587137Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0587279Z test_ref_duplicate_values_masked_sum_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0587425Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0587565Z test_ref_duplicate_values_masked_sum_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0587700Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0587843Z test_ref_duplicate_values_masked_sum_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0587989Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0588134Z test_ref_duplicate_values_masked_sum_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0588279Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0588416Z test_ref_duplicate_values_masked_sum_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0588566Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0588709Z test_ref_duplicate_values_mean_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0588861Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0588993Z test_ref_duplicate_values_mean_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0589218Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0589361Z test_ref_duplicate_values_mean_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0589511Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0589650Z test_ref_duplicate_values_mean_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0589806Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0589944Z test_ref_duplicate_values_mean_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0590094Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0590225Z test_ref_duplicate_values_nanmean_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0590378Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0590550Z test_ref_duplicate_values_nanmean_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0590706Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0590851Z test_ref_duplicate_values_nanmean_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0590998Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0591140Z test_ref_duplicate_values_nansum_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0591290Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0591446Z test_ref_duplicate_values_nansum_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0591593Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0591732Z test_ref_duplicate_values_nansum_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0591884Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0592021Z test_ref_duplicate_values_nansum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0592168Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0592309Z test_ref_duplicate_values_nansum_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0592459Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0592583Z test_ref_duplicate_values_nansum_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0592731Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0592873Z test_ref_duplicate_values_nansum_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0593023Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0593167Z test_ref_duplicate_values_nansum_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0593315Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0593451Z test_ref_duplicate_values_nansum_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0593599Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0593737Z test_ref_duplicate_values_prod_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0593873Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0594019Z test_ref_duplicate_values_prod_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0594169Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0594312Z test_ref_duplicate_values_prod_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0594482Z Compares op against reference for input tensors with duplicate values ... skip: Skipped! (0.001s) 2022-11-23T02:11:55.0594625Z test_ref_duplicate_values_prod_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0594776Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0594916Z test_ref_duplicate_values_prod_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0595054Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0595192Z test_ref_duplicate_values_prod_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0595341Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0595481Z test_ref_duplicate_values_prod_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0595633Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0595771Z test_ref_duplicate_values_prod_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0595945Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0596087Z test_ref_duplicate_values_prod_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0596226Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0596364Z test_ref_duplicate_values_prod_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0596532Z Compares op against reference for input tensors with duplicate values ... skip: Skipped! (0.001s) 2022-11-23T02:11:55.0596677Z test_ref_duplicate_values_std_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0596846Z Compares op against reference for input tensors with duplicate values ... skip: Skipped! (0.001s) 2022-11-23T02:11:55.0597034Z test_ref_duplicate_values_std_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0597201Z Compares op against reference for input tensors with duplicate values ... skip: Skipped! (0.001s) 2022-11-23T02:11:55.0597345Z test_ref_duplicate_values_std_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0597495Z Compares op against reference for input tensors with duplicate values ... skip: Skipped! (0.001s) 2022-11-23T02:11:55.0597633Z test_ref_duplicate_values_std_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0597795Z Compares op against reference for input tensors with duplicate values ... skip: Skipped! (0.001s) 2022-11-23T02:11:55.0597932Z test_ref_duplicate_values_std_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0598093Z Compares op against reference for input tensors with duplicate values ... skip: Skipped! (0.001s) 2022-11-23T02:11:55.0598234Z test_ref_duplicate_values_sum_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0598387Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0598532Z test_ref_duplicate_values_sum_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0598684Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0598813Z test_ref_duplicate_values_sum_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0598963Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0599101Z test_ref_duplicate_values_sum_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0599270Z Compares op against reference for input tensors with duplicate values ... skip: Skipped! (0.001s) 2022-11-23T02:11:55.0599407Z test_ref_duplicate_values_sum_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0599561Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0599699Z test_ref_duplicate_values_sum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0599850Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0599973Z test_ref_duplicate_values_sum_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0600126Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0600263Z test_ref_duplicate_values_sum_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0600412Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0600545Z test_ref_duplicate_values_sum_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0600699Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0600836Z test_ref_duplicate_values_sum_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0600987Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0601111Z test_ref_duplicate_values_sum_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0601264Z Compares op against reference for input tensors with duplicate values ... ok (0.002s) 2022-11-23T02:11:55.0601432Z test_ref_duplicate_values_var_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0601602Z Compares op against reference for input tensors with duplicate values ... skip: Skipped! (0.001s) 2022-11-23T02:11:55.0601744Z test_ref_duplicate_values_var_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0601911Z Compares op against reference for input tensors with duplicate values ... skip: Skipped! (0.001s) 2022-11-23T02:11:55.0602051Z test_ref_duplicate_values_var_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0602219Z Compares op against reference for input tensors with duplicate values ... skip: Skipped! (0.001s) 2022-11-23T02:11:55.0602384Z test_ref_duplicate_values_var_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0602532Z Compares op against reference for input tensors with duplicate values ... skip: Skipped! (0.001s) 2022-11-23T02:11:55.0602669Z test_ref_duplicate_values_var_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0602830Z Compares op against reference for input tensors with duplicate values ... skip: Skipped! (0.001s) 2022-11-23T02:11:55.0602968Z test_ref_extremal_values_all_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0603121Z Compares op against reference for input tensors with extremal values ... ok (0.001s) 2022-11-23T02:11:55.0603260Z test_ref_extremal_values_all_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0603415Z Compares op against reference for input tensors with extremal values ... ok (0.001s) 2022-11-23T02:11:55.0603550Z test_ref_extremal_values_amax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0603689Z Compares op against reference for input tensors with extremal values ... ok (0.001s) 2022-11-23T02:11:55.0603827Z test_ref_extremal_values_amin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0603978Z Compares op against reference for input tensors with extremal values ... ok (0.001s) 2022-11-23T02:11:55.0604119Z test_ref_extremal_values_any_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0604272Z Compares op against reference for input tensors with extremal values ... ok (0.001s) 2022-11-23T02:11:55.0604408Z test_ref_extremal_values_any_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0604563Z Compares op against reference for input tensors with extremal values ... ok (0.001s) 2022-11-23T02:11:55.0604703Z test_ref_extremal_values_argmax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0604841Z Compares op against reference for input tensors with extremal values ... ok (0.001s) 2022-11-23T02:11:55.0604980Z test_ref_extremal_values_argmin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0605133Z Compares op against reference for input tensors with extremal values ... ok (0.001s) 2022-11-23T02:11:55.0605286Z test_ref_extremal_values_count_nonzero_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0605431Z Compares op against reference for input tensors with extremal values ... ok (0.001s) 2022-11-23T02:11:55.0605585Z test_ref_extremal_values_count_nonzero_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0605735Z Compares op against reference for input tensors with extremal values ... ok (0.001s) 2022-11-23T02:11:55.0605882Z test_ref_extremal_values_masked_amax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0606018Z Compares op against reference for input tensors with extremal values ... ok (0.002s) 2022-11-23T02:11:55.0606167Z test_ref_extremal_values_masked_amin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0606316Z Compares op against reference for input tensors with extremal values ... ok (0.002s) 2022-11-23T02:11:55.0606466Z test_ref_extremal_values_masked_argmax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0606616Z Compares op against reference for input tensors with extremal values ... ok (0.002s) 2022-11-23T02:11:55.0606764Z test_ref_extremal_values_masked_argmin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0606940Z Compares op against reference for input tensors with extremal values ... ok (0.002s) 2022-11-23T02:11:55.0607092Z test_ref_extremal_values_masked_prod_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0607229Z Compares op against reference for input tensors with extremal values ... ok (0.002s) 2022-11-23T02:11:55.0607375Z test_ref_extremal_values_masked_prod_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0607526Z Compares op against reference for input tensors with extremal values ... ok (0.002s) 2022-11-23T02:11:55.0607674Z test_ref_extremal_values_masked_sum_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0607852Z Compares op against reference for input tensors with extremal values ... ok (0.002s) 2022-11-23T02:11:55.0607998Z test_ref_extremal_values_masked_sum_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0608144Z Compares op against reference for input tensors with extremal values ... ok (0.002s) 2022-11-23T02:11:55.0608288Z test_ref_extremal_values_mean_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0608777Z Compares op against reference for input tensors with extremal values ... /opt/conda/lib/python3.7/site-packages/numpy/core/_methods.py:161: RuntimeWarning: invalid value encountered in true_divide 2022-11-23T02:11:55.0608861Z ret = ret.dtype.type(ret / rcount) 2022-11-23T02:11:55.0608930Z ok (0.002s) 2022-11-23T02:11:55.0609072Z test_ref_extremal_values_mean_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0609222Z Compares op against reference for input tensors with extremal values ... ok (0.002s) 2022-11-23T02:11:55.0609364Z test_ref_extremal_values_nanmean_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0609520Z Compares op against reference for input tensors with extremal values ... ok (0.002s) 2022-11-23T02:11:55.0609661Z test_ref_extremal_values_nansum_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0609810Z Compares op against reference for input tensors with extremal values ... ok (0.002s) 2022-11-23T02:11:55.0609941Z test_ref_extremal_values_prod_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0610087Z Compares op against reference for input tensors with extremal values ... ok (0.002s) 2022-11-23T02:11:55.0610224Z test_ref_extremal_values_prod_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0610375Z Compares op against reference for input tensors with extremal values ... ok (0.002s) 2022-11-23T02:11:55.0610516Z test_ref_extremal_values_std_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0610925Z Compares op against reference for input tensors with extremal values ... /opt/conda/lib/python3.7/site-packages/numpy/core/_methods.py:186: RuntimeWarning: invalid value encountered in true_divide 2022-11-23T02:11:55.0611112Z arrmean, rcount, out=arrmean, casting='unsafe', subok=False) 2022-11-23T02:11:55.0611404Z /opt/conda/lib/python3.7/site-packages/numpy/core/_methods.py:193: RuntimeWarning: invalid value encountered in subtract 2022-11-23T02:11:55.0611528Z x = asanyarray(arr - arrmean) 2022-11-23T02:11:55.0611582Z ok (0.003s) 2022-11-23T02:11:55.0611721Z test_ref_extremal_values_std_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0611874Z Compares op against reference for input tensors with extremal values ... ok (0.002s) 2022-11-23T02:11:55.0612014Z test_ref_extremal_values_sum_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0612164Z Compares op against reference for input tensors with extremal values ... ok (0.002s) 2022-11-23T02:11:55.0612303Z test_ref_extremal_values_sum_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0612452Z Compares op against reference for input tensors with extremal values ... ok (0.001s) 2022-11-23T02:11:55.0612578Z test_ref_extremal_values_var_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0612726Z Compares op against reference for input tensors with extremal values ... ok (0.003s) 2022-11-23T02:11:55.0612892Z test_ref_extremal_values_var_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0613048Z Compares op against reference for input tensors with extremal values ... ok (0.002s) 2022-11-23T02:11:55.0613183Z test_ref_large_input_1D_all_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0613340Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.013s) 2022-11-23T02:11:55.0613475Z test_ref_large_input_1D_amax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0613633Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.011s) 2022-11-23T02:11:55.0613754Z test_ref_large_input_1D_amin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0613940Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.011s) 2022-11-23T02:11:55.0614074Z test_ref_large_input_1D_any_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0614235Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.012s) 2022-11-23T02:11:55.0614375Z test_ref_large_input_1D_argmax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0614531Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.013s) 2022-11-23T02:11:55.0614667Z test_ref_large_input_1D_argmin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0614825Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.013s) 2022-11-23T02:11:55.0614971Z test_ref_large_input_1D_count_nonzero_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0615112Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.013s) 2022-11-23T02:11:55.0615256Z test_ref_large_input_1D_masked_amax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0615410Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.011s) 2022-11-23T02:11:55.0615552Z test_ref_large_input_1D_masked_amin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0615707Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.011s) 2022-11-23T02:11:55.0615852Z test_ref_large_input_1D_masked_argmax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0616009Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.013s) 2022-11-23T02:11:55.0616152Z test_ref_large_input_1D_masked_argmin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0616292Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.013s) 2022-11-23T02:11:55.0616433Z test_ref_large_input_1D_masked_prod_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0616589Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.012s) 2022-11-23T02:11:55.0616731Z test_ref_large_input_1D_masked_sum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0616887Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.011s) 2022-11-23T02:11:55.0617024Z test_ref_large_input_1D_mean_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0617179Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.011s) 2022-11-23T02:11:55.0617316Z test_ref_large_input_1D_nanmean_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0617453Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.014s) 2022-11-23T02:11:55.0617591Z test_ref_large_input_1D_nansum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0617746Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.013s) 2022-11-23T02:11:55.0617888Z test_ref_large_input_1D_prod_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0618044Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.012s) 2022-11-23T02:11:55.0618179Z test_ref_large_input_1D_std_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0618361Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.016s) 2022-11-23T02:11:55.0618496Z test_ref_large_input_1D_sum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0618650Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.011s) 2022-11-23T02:11:55.0618878Z test_ref_large_input_1D_var_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0619034Z Compares op against reference for a large 1D input tensor to check stability ... ok (0.020s) 2022-11-23T02:11:55.0619167Z test_ref_large_input_2D_all_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0619381Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.023s) 2022-11-23T02:11:55.0619515Z test_ref_large_input_2D_amax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0619676Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.021s) 2022-11-23T02:11:55.0619809Z test_ref_large_input_2D_amin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0619976Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.021s) 2022-11-23T02:11:55.0620096Z test_ref_large_input_2D_any_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0620254Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.023s) 2022-11-23T02:11:55.0620391Z test_ref_large_input_2D_argmax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0620552Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.022s) 2022-11-23T02:11:55.0620689Z test_ref_large_input_2D_argmin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0620846Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.022s) 2022-11-23T02:11:55.0620997Z test_ref_large_input_2D_count_nonzero_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0621155Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.024s) 2022-11-23T02:11:55.0621284Z test_ref_large_input_2D_masked_amax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0621441Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.021s) 2022-11-23T02:11:55.0621584Z test_ref_large_input_2D_masked_amin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0621742Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.021s) 2022-11-23T02:11:55.0621892Z test_ref_large_input_2D_masked_argmax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0622050Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.022s) 2022-11-23T02:11:55.0622194Z test_ref_large_input_2D_masked_argmin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0622354Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.022s) 2022-11-23T02:11:55.0622498Z test_ref_large_input_2D_masked_prod_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0622642Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.023s) 2022-11-23T02:11:55.0622784Z test_ref_large_input_2D_masked_sum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0622940Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.021s) 2022-11-23T02:11:55.0623077Z test_ref_large_input_2D_mean_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0623234Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.021s) 2022-11-23T02:11:55.0623375Z test_ref_large_input_2D_nanmean_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0623528Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.030s) 2022-11-23T02:11:55.0623662Z test_ref_large_input_2D_nansum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0623839Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.026s) 2022-11-23T02:11:55.0623980Z test_ref_large_input_2D_prod_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0624136Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.023s) 2022-11-23T02:11:55.0624270Z test_ref_large_input_2D_std_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0624428Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.038s) 2022-11-23T02:11:55.0624559Z test_ref_large_input_2D_sum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0624744Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.022s) 2022-11-23T02:11:55.0624876Z test_ref_large_input_2D_var_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0625019Z Compares op against reference for a large 2D input tensor to test parallelism ... ok (0.039s) 2022-11-23T02:11:55.0625169Z test_ref_large_input_64bit_indexing_all_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0625344Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... ok (3.950s) 2022-11-23T02:11:55.0625497Z test_ref_large_input_64bit_indexing_amax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0625670Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... ok (3.697s) 2022-11-23T02:11:55.0625825Z test_ref_large_input_64bit_indexing_amin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0626000Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... ok (3.695s) 2022-11-23T02:11:55.0626150Z test_ref_large_input_64bit_indexing_any_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0626322Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... ok (3.993s) 2022-11-23T02:11:55.0626465Z test_ref_large_input_64bit_indexing_argmax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0626632Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... ok (4.177s) 2022-11-23T02:11:55.0626784Z test_ref_large_input_64bit_indexing_argmin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0626954Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... ok (4.179s) 2022-11-23T02:11:55.0627114Z test_ref_large_input_64bit_indexing_count_nonzero_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0627281Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... ok (4.231s) 2022-11-23T02:11:55.0627440Z test_ref_large_input_64bit_indexing_masked_amax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0627606Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... ok (3.698s) 2022-11-23T02:11:55.0627767Z test_ref_large_input_64bit_indexing_masked_amin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0627925Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... ok (3.695s) 2022-11-23T02:11:55.0628084Z test_ref_large_input_64bit_indexing_masked_argmax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0628252Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... ok (4.207s) 2022-11-23T02:11:55.0628410Z test_ref_large_input_64bit_indexing_masked_argmin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0628582Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... ok (4.193s) 2022-11-23T02:11:55.0628738Z test_ref_large_input_64bit_indexing_masked_prod_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0628907Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... ok (3.863s) 2022-11-23T02:11:55.0629097Z test_ref_large_input_64bit_indexing_masked_sum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0629340Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... ok (3.692s) 2022-11-23T02:11:55.0629481Z test_ref_large_input_64bit_indexing_mean_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0629653Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... ok (3.686s) 2022-11-23T02:11:55.0629808Z test_ref_large_input_64bit_indexing_nanmean_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0629977Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... ok (5.753s) 2022-11-23T02:11:55.0630161Z test_ref_large_input_64bit_indexing_nansum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0630326Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... ok (4.723s) 2022-11-23T02:11:55.0630480Z test_ref_large_input_64bit_indexing_prod_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0630643Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... ok (3.868s) 2022-11-23T02:11:55.0630790Z test_ref_large_input_64bit_indexing_std_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0630945Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... ok (6.062s) 2022-11-23T02:11:55.0631092Z test_ref_large_input_64bit_indexing_sum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0631267Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... ok (3.688s) 2022-11-23T02:11:55.0631418Z test_ref_large_input_64bit_indexing_var_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0631584Z Compares op against reference for a very large input tensor that requires 64 bit indexing ... ok (6.049s) 2022-11-23T02:11:55.0631713Z test_ref_scalar_input_all_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0631855Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0631993Z test_ref_scalar_input_all_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0632116Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0632251Z test_ref_scalar_input_all_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0632385Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0632519Z test_ref_scalar_input_all_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0632651Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0632786Z test_ref_scalar_input_all_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0632919Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0633053Z test_ref_scalar_input_all_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0633177Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0633307Z test_ref_scalar_input_all_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0633439Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0633570Z test_ref_scalar_input_all_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0633705Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0633833Z test_ref_scalar_input_all_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0633964Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0634097Z test_ref_scalar_input_all_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0634215Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0634345Z test_ref_scalar_input_all_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0634478Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0634637Z test_ref_scalar_input_amax_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0634769Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0634902Z test_ref_scalar_input_amax_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0635034Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0635169Z test_ref_scalar_input_amax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0635288Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0635420Z test_ref_scalar_input_amax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0635589Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0635727Z test_ref_scalar_input_amax_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0635861Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0635995Z test_ref_scalar_input_amax_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0636126Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0636255Z test_ref_scalar_input_amax_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0636374Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0636502Z test_ref_scalar_input_amax_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0636629Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0636761Z test_ref_scalar_input_amax_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0636892Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0637021Z test_ref_scalar_input_amin_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0637157Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0637279Z test_ref_scalar_input_amin_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0637408Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0637539Z test_ref_scalar_input_amin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0637671Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0637802Z test_ref_scalar_input_amin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0637932Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0638061Z test_ref_scalar_input_amin_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0638196Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0638315Z test_ref_scalar_input_amin_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0638446Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0638579Z test_ref_scalar_input_amin_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0638710Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0638837Z test_ref_scalar_input_amin_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0638970Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0639100Z test_ref_scalar_input_amin_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0639233Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0639351Z test_ref_scalar_input_any_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0639482Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0639621Z test_ref_scalar_input_any_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0639755Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0639887Z test_ref_scalar_input_any_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0640074Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0640214Z test_ref_scalar_input_any_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0640344Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0640467Z test_ref_scalar_input_any_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0640600Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0640732Z test_ref_scalar_input_any_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0640862Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0641019Z test_ref_scalar_input_any_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0641150Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0641281Z test_ref_scalar_input_any_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0641414Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0641530Z test_ref_scalar_input_any_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0641660Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0641787Z test_ref_scalar_input_any_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0641922Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0642053Z test_ref_scalar_input_any_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0642183Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0642325Z test_ref_scalar_input_argmax_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0642456Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0642582Z test_ref_scalar_input_argmax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0642714Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0642852Z test_ref_scalar_input_argmax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0642984Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0643118Z test_ref_scalar_input_argmax_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0643253Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0643386Z test_ref_scalar_input_argmax_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0643516Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0643637Z test_ref_scalar_input_argmax_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0643773Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0643906Z test_ref_scalar_input_argmax_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0644036Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0644171Z test_ref_scalar_input_argmax_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0644304Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0644441Z test_ref_scalar_input_argmin_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0644578Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0644702Z test_ref_scalar_input_argmin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0644831Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0644964Z test_ref_scalar_input_argmin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0645099Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0645234Z test_ref_scalar_input_argmin_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0645365Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0645525Z test_ref_scalar_input_argmin_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0645657Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0645777Z test_ref_scalar_input_argmin_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0645907Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0646040Z test_ref_scalar_input_argmin_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0646169Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0646302Z test_ref_scalar_input_argmin_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0646466Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0646609Z test_ref_scalar_input_count_nonzero_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0646738Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0646878Z test_ref_scalar_input_count_nonzero_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0647011Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0647158Z test_ref_scalar_input_count_nonzero_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0647287Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0647433Z test_ref_scalar_input_count_nonzero_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0647562Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0647703Z test_ref_scalar_input_count_nonzero_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0647835Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0647962Z test_ref_scalar_input_count_nonzero_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0648091Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0648235Z test_ref_scalar_input_count_nonzero_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0648368Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0648508Z test_ref_scalar_input_count_nonzero_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0648640Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0648784Z test_ref_scalar_input_count_nonzero_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0648913Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0649041Z test_ref_scalar_input_count_nonzero_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0649175Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0649316Z test_ref_scalar_input_count_nonzero_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0649448Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0649590Z test_ref_scalar_input_masked_amax_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0649723Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0649863Z test_ref_scalar_input_masked_amax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0649993Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0650121Z test_ref_scalar_input_masked_amax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0650254Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0650393Z test_ref_scalar_input_masked_amax_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0650527Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0650666Z test_ref_scalar_input_masked_amax_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0650799Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0650962Z test_ref_scalar_input_masked_amax_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0651098Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0651223Z test_ref_scalar_input_masked_amax_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0651355Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0651491Z test_ref_scalar_input_masked_amax_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0651621Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0651762Z test_ref_scalar_input_masked_amin_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0651923Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0652063Z test_ref_scalar_input_masked_amin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0652192Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0652323Z test_ref_scalar_input_masked_amin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0652465Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0652601Z test_ref_scalar_input_masked_amin_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0652731Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0652869Z test_ref_scalar_input_masked_amin_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0653002Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0653139Z test_ref_scalar_input_masked_amin_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0653271Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0653396Z test_ref_scalar_input_masked_amin_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0653533Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0653672Z test_ref_scalar_input_masked_amin_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0653802Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0653945Z test_ref_scalar_input_masked_argmax_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0654078Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0654219Z test_ref_scalar_input_masked_argmax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0654351Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0654479Z test_ref_scalar_input_masked_argmax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0654609Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0654749Z test_ref_scalar_input_masked_argmax_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0654883Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0655029Z test_ref_scalar_input_masked_argmax_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0655164Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0655305Z test_ref_scalar_input_masked_argmax_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0655436Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0655565Z test_ref_scalar_input_masked_argmax_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0655697Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0655838Z test_ref_scalar_input_masked_argmax_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0655970Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0656119Z test_ref_scalar_input_masked_argmin_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0656248Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0656416Z test_ref_scalar_input_masked_argmin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0656546Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0656673Z test_ref_scalar_input_masked_argmin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0656799Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0656942Z test_ref_scalar_input_masked_argmin_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0657075Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0657216Z test_ref_scalar_input_masked_argmin_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0657378Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0657519Z test_ref_scalar_input_masked_argmin_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0657651Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0657781Z test_ref_scalar_input_masked_argmin_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0657912Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0658053Z test_ref_scalar_input_masked_argmin_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0658186Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0658328Z test_ref_scalar_input_masked_prod_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0658460Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0658609Z test_ref_scalar_input_masked_prod_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0658844Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0658979Z test_ref_scalar_input_masked_prod_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0659110Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0659255Z test_ref_scalar_input_masked_prod_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0659386Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0659527Z test_ref_scalar_input_masked_prod_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0659659Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0659801Z test_ref_scalar_input_masked_prod_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0659934Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0660061Z test_ref_scalar_input_masked_prod_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0660193Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0660333Z test_ref_scalar_input_masked_prod_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0660463Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0660603Z test_ref_scalar_input_masked_prod_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0660735Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0660876Z test_ref_scalar_input_masked_prod_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0661005Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0661130Z test_ref_scalar_input_masked_sum_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0661262Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0661409Z test_ref_scalar_input_masked_sum_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0661543Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0661688Z test_ref_scalar_input_masked_sum_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0661819Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0662013Z test_ref_scalar_input_masked_sum_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0662144Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0662271Z test_ref_scalar_input_masked_sum_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0662402Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0662541Z test_ref_scalar_input_masked_sum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0662675Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0662811Z test_ref_scalar_input_masked_sum_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0662977Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0663112Z test_ref_scalar_input_masked_sum_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0663245Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0663370Z test_ref_scalar_input_masked_sum_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0663501Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0663636Z test_ref_scalar_input_masked_sum_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0663767Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0663902Z test_ref_scalar_input_masked_sum_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0664032Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0664166Z test_ref_scalar_input_mean_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0664297Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0664421Z test_ref_scalar_input_mean_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0664553Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0664688Z test_ref_scalar_input_mean_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0664828Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0664962Z test_ref_scalar_input_mean_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0665091Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0665223Z test_ref_scalar_input_mean_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0665357Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0665481Z test_ref_scalar_input_nanmean_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0665615Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0665751Z test_ref_scalar_input_nanmean_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0665881Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0666017Z test_ref_scalar_input_nanmean_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0666152Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0666287Z test_ref_scalar_input_nansum_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0666416Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0666540Z test_ref_scalar_input_nansum_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0666672Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0666808Z test_ref_scalar_input_nansum_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0666939Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0667075Z test_ref_scalar_input_nansum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0667204Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0667338Z test_ref_scalar_input_nansum_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0667485Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0667618Z test_ref_scalar_input_nansum_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0667768Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0667963Z test_ref_scalar_input_nansum_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0668153Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0668367Z test_ref_scalar_input_nansum_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0668617Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0668919Z test_ref_scalar_input_nansum_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0669121Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0669339Z test_ref_scalar_input_prod_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0669473Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0669615Z test_ref_scalar_input_prod_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0669748Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0669886Z test_ref_scalar_input_prod_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0670019Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0670156Z test_ref_scalar_input_prod_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0670275Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0670413Z test_ref_scalar_input_prod_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0670544Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0670680Z test_ref_scalar_input_prod_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0670815Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0670954Z test_ref_scalar_input_prod_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0671085Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0671216Z test_ref_scalar_input_prod_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0671336Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0671467Z test_ref_scalar_input_prod_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0671599Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0671741Z test_ref_scalar_input_prod_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0671872Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0672010Z test_ref_scalar_input_std_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0672434Z Compares op against reference for scalar input tensors ... /opt/conda/lib/python3.7/site-packages/numpy/core/_methods.py:217: RuntimeWarning: Degrees of freedom <= 0 for slice 2022-11-23T02:11:55.0672513Z keepdims=keepdims) 2022-11-23T02:11:55.0672798Z /opt/conda/lib/python3.7/site-packages/numpy/core/_methods.py:209: RuntimeWarning: invalid value encountered in double_scalars 2022-11-23T02:11:55.0672892Z ret = ret.dtype.type(ret / rcount) 2022-11-23T02:11:55.0672958Z ok (0.001s) 2022-11-23T02:11:55.0673094Z test_ref_scalar_input_std_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0673472Z Compares op against reference for scalar input tensors ... /opt/conda/lib/python3.7/site-packages/numpy/core/_methods.py:209: RuntimeWarning: invalid value encountered in true_divide 2022-11-23T02:11:55.0673568Z ret = ret.dtype.type(ret / rcount) 2022-11-23T02:11:55.0673634Z ok (0.001s) 2022-11-23T02:11:55.0673768Z test_ref_scalar_input_std_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0673929Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0674067Z test_ref_scalar_input_std_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0674199Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0674332Z test_ref_scalar_input_std_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0674466Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0674598Z test_ref_scalar_input_sum_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0674730Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0674915Z test_ref_scalar_input_sum_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0675035Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0675168Z test_ref_scalar_input_sum_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0675299Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0675433Z test_ref_scalar_input_sum_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0675564Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0675697Z test_ref_scalar_input_sum_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0675832Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0675965Z test_ref_scalar_input_sum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0676083Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0676213Z test_ref_scalar_input_sum_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0676346Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0676477Z test_ref_scalar_input_sum_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0676609Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0676740Z test_ref_scalar_input_sum_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0676870Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0676986Z test_ref_scalar_input_sum_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0677115Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0677243Z test_ref_scalar_input_sum_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0677373Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0677508Z test_ref_scalar_input_var_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0677889Z Compares op against reference for scalar input tensors ... /opt/conda/lib/python3.7/site-packages/numpy/core/fromnumeric.py:3584: RuntimeWarning: Degrees of freedom <= 0 for slice 2022-11-23T02:11:55.0677956Z **kwargs) 2022-11-23T02:11:55.0678021Z ok (0.001s) 2022-11-23T02:11:55.0678143Z test_ref_scalar_input_var_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0678276Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0678408Z test_ref_scalar_input_var_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0678539Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0678671Z test_ref_scalar_input_var_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0678801Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0678934Z test_ref_scalar_input_var_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0679065Z Compares op against reference for scalar input tensors ... ok (0.001s) 2022-11-23T02:11:55.0679183Z test_ref_small_input_all_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0679317Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0679452Z test_ref_small_input_all_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0679614Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0679749Z test_ref_small_input_all_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0679877Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0680009Z test_ref_small_input_all_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0680136Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0680252Z test_ref_small_input_all_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0680381Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0680538Z test_ref_small_input_all_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0680668Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0680794Z test_ref_small_input_all_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0680929Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0681054Z test_ref_small_input_all_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0681184Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0681297Z test_ref_small_input_all_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0681429Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0681557Z test_ref_small_input_all_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0681686Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0681812Z test_ref_small_input_all_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0681944Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0682069Z test_ref_small_input_amax_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0682186Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0682317Z test_ref_small_input_amax_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0682447Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0682580Z test_ref_small_input_amax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0682708Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0682837Z test_ref_small_input_amax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0682964Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0683093Z test_ref_small_input_amax_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0683211Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0683337Z test_ref_small_input_amax_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0683468Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0683598Z test_ref_small_input_amax_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0683723Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0683849Z test_ref_small_input_amax_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0683979Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0684106Z test_ref_small_input_amax_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0684223Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0684349Z test_ref_small_input_amin_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0684481Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0684616Z test_ref_small_input_amin_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0684746Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0684875Z test_ref_small_input_amin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0685028Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0685159Z test_ref_small_input_amin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0685275Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0685402Z test_ref_small_input_amin_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0685532Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0685659Z test_ref_small_input_amin_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0685788Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0685943Z test_ref_small_input_amin_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0686070Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0686197Z test_ref_small_input_amin_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0686316Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0686443Z test_ref_small_input_amin_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0686574Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0686702Z test_ref_small_input_any_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0686831Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0686967Z test_ref_small_input_any_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0687095Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0687213Z test_ref_small_input_any_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0687337Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0687468Z test_ref_small_input_any_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0687595Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0687725Z test_ref_small_input_any_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0687853Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0687980Z test_ref_small_input_any_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0688106Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0688219Z test_ref_small_input_any_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0688352Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0688534Z test_ref_small_input_any_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0688781Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0689018Z test_ref_small_input_any_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0689259Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0689450Z test_ref_small_input_any_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0689592Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0689706Z test_ref_small_input_any_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0689842Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0689999Z test_ref_small_input_argmax_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0690126Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0690258Z test_ref_small_input_argmax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0690390Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0690520Z test_ref_small_input_argmax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0690649Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0690768Z test_ref_small_input_argmax_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0690933Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0691066Z test_ref_small_input_argmax_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0691193Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0691318Z test_ref_small_input_argmax_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0691445Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0691576Z test_ref_small_input_argmax_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0691702Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0691850Z test_ref_small_input_argmax_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0691977Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0692110Z test_ref_small_input_argmin_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0692243Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0692376Z test_ref_small_input_argmin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0692506Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0692636Z test_ref_small_input_argmin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0692766Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0692885Z test_ref_small_input_argmin_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0693012Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0693141Z test_ref_small_input_argmin_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0693270Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0693397Z test_ref_small_input_argmin_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0693527Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0693656Z test_ref_small_input_argmin_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0693771Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0693900Z test_ref_small_input_argmin_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0694027Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0694165Z test_ref_small_input_count_nonzero_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0694294Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0694442Z test_ref_small_input_count_nonzero_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0694572Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0694716Z test_ref_small_input_count_nonzero_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0694832Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0694976Z test_ref_small_input_count_nonzero_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0695105Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0695246Z test_ref_small_input_count_nonzero_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0695373Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0695511Z test_ref_small_input_count_nonzero_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0695640Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0695782Z test_ref_small_input_count_nonzero_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0695898Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0696035Z test_ref_small_input_count_nonzero_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0696189Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0696328Z test_ref_small_input_count_nonzero_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0696457Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0696592Z test_ref_small_input_count_nonzero_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0696720Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0696878Z test_ref_small_input_count_nonzero_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0696995Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0697163Z test_ref_small_input_masked_amax_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0697292Z Compares op against reference for small input tensors ... ok (0.003s) 2022-11-23T02:11:55.0697426Z test_ref_small_input_masked_amax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0697554Z Compares op against reference for small input tensors ... ok (0.003s) 2022-11-23T02:11:55.0697693Z test_ref_small_input_masked_amax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0697820Z Compares op against reference for small input tensors ... ok (0.003s) 2022-11-23T02:11:55.0697956Z test_ref_small_input_masked_amax_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0698073Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0698207Z test_ref_small_input_masked_amax_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0698338Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0698474Z test_ref_small_input_masked_amax_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0698607Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0698848Z test_ref_small_input_masked_amax_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0698980Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0699120Z test_ref_small_input_masked_amax_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0699238Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0699375Z test_ref_small_input_masked_amin_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0699505Z Compares op against reference for small input tensors ... ok (0.003s) 2022-11-23T02:11:55.0699643Z test_ref_small_input_masked_amin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0699773Z Compares op against reference for small input tensors ... ok (0.003s) 2022-11-23T02:11:55.0699912Z test_ref_small_input_masked_amin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0700043Z Compares op against reference for small input tensors ... ok (0.003s) 2022-11-23T02:11:55.0700179Z test_ref_small_input_masked_amin_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0700296Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0700429Z test_ref_small_input_masked_amin_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0700557Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0700691Z test_ref_small_input_masked_amin_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0700820Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0700955Z test_ref_small_input_masked_amin_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0701086Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0701222Z test_ref_small_input_masked_amin_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0701342Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0701483Z test_ref_small_input_masked_argmax_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0701611Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0701804Z test_ref_small_input_masked_argmax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0701933Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0702073Z test_ref_small_input_masked_argmax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0702203Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0702339Z test_ref_small_input_masked_argmax_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0702456Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0702594Z test_ref_small_input_masked_argmax_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0702757Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0702893Z test_ref_small_input_masked_argmax_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0703022Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0703164Z test_ref_small_input_masked_argmax_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0703292Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0703426Z test_ref_small_input_masked_argmax_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0703542Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0703680Z test_ref_small_input_masked_argmin_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0703806Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0703947Z test_ref_small_input_masked_argmin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0704078Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0704216Z test_ref_small_input_masked_argmin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0704344Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0704480Z test_ref_small_input_masked_argmin_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0704595Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0704732Z test_ref_small_input_masked_argmin_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0704860Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0704994Z test_ref_small_input_masked_argmin_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0705121Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0705257Z test_ref_small_input_masked_argmin_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0705389Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0705512Z test_ref_small_input_masked_argmin_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0705642Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0705781Z test_ref_small_input_masked_prod_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0705911Z Compares op against reference for small input tensors ... ok (0.003s) 2022-11-23T02:11:55.0706054Z test_ref_small_input_masked_prod_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0706183Z Compares op against reference for small input tensors ... ok (0.003s) 2022-11-23T02:11:55.0706325Z test_ref_small_input_masked_prod_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0706451Z Compares op against reference for small input tensors ... ok (0.003s) 2022-11-23T02:11:55.0706575Z test_ref_small_input_masked_prod_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0706702Z Compares op against reference for small input tensors ... ok (0.003s) 2022-11-23T02:11:55.0706838Z test_ref_small_input_masked_prod_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0706965Z Compares op against reference for small input tensors ... ok (0.003s) 2022-11-23T02:11:55.0707131Z test_ref_small_input_masked_prod_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0707280Z Compares op against reference for small input tensors ... skip: Skipped! (0.001s) 2022-11-23T02:11:55.0707415Z test_ref_small_input_masked_prod_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0707558Z Compares op against reference for small input tensors ... skip: Skipped! (0.001s) 2022-11-23T02:11:55.0707680Z test_ref_small_input_masked_prod_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0707810Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0707944Z test_ref_small_input_masked_prod_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0708121Z Compares op against reference for small input tensors ... skip: Skipped! (0.001s) 2022-11-23T02:11:55.0708258Z test_ref_small_input_masked_prod_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0708387Z Compares op against reference for small input tensors ... ok (0.005s) 2022-11-23T02:11:55.0708526Z test_ref_small_input_masked_sum_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0708656Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0708785Z test_ref_small_input_masked_sum_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0708914Z Compares op against reference for small input tensors ... ok (0.003s) 2022-11-23T02:11:55.0709055Z test_ref_small_input_masked_sum_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0709252Z Compares op against reference for small input tensors ... ok (0.003s) 2022-11-23T02:11:55.0709393Z test_ref_small_input_masked_sum_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0709526Z Compares op against reference for small input tensors ... ok (0.003s) 2022-11-23T02:11:55.0709663Z test_ref_small_input_masked_sum_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0709793Z Compares op against reference for small input tensors ... ok (0.003s) 2022-11-23T02:11:55.0709917Z test_ref_small_input_masked_sum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0710047Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0710181Z test_ref_small_input_masked_sum_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0710312Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0710446Z test_ref_small_input_masked_sum_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0710576Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0710709Z test_ref_small_input_masked_sum_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0710843Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0710966Z test_ref_small_input_masked_sum_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0711096Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0711233Z test_ref_small_input_masked_sum_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0711364Z Compares op against reference for small input tensors ... ok (0.006s) 2022-11-23T02:11:55.0711498Z test_ref_small_input_mean_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0711630Z Compares op against reference for small input tensors ... ok (0.003s) 2022-11-23T02:11:55.0711768Z test_ref_small_input_mean_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0711899Z Compares op against reference for small input tensors ... ok (0.003s) 2022-11-23T02:11:55.0712020Z test_ref_small_input_mean_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0712170Z Compares op against reference for small input tensors ... skip: Skipped! (0.001s) 2022-11-23T02:11:55.0712303Z test_ref_small_input_mean_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0712435Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0712595Z test_ref_small_input_mean_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0712725Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0712859Z test_ref_small_input_nanmean_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0713004Z Compares op against reference for small input tensors ... skip: Skipped! (0.001s) 2022-11-23T02:11:55.0713127Z test_ref_small_input_nanmean_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0713258Z Compares op against reference for small input tensors ... ok (0.003s) 2022-11-23T02:11:55.0713391Z test_ref_small_input_nanmean_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0713565Z Compares op against reference for small input tensors ... ok (0.003s) 2022-11-23T02:11:55.0713697Z test_ref_small_input_nansum_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0713824Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0713960Z test_ref_small_input_nansum_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0714105Z Compares op against reference for small input tensors ... skip: Skipped! (0.001s) 2022-11-23T02:11:55.0714225Z test_ref_small_input_nansum_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0714355Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0714487Z test_ref_small_input_nansum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0714619Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0714748Z test_ref_small_input_nansum_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0714879Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0715005Z test_ref_small_input_nansum_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0715133Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0715248Z test_ref_small_input_nansum_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0715377Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0715510Z test_ref_small_input_nansum_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0715636Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0715766Z test_ref_small_input_nansum_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0715893Z Compares op against reference for small input tensors ... ok (0.005s) 2022-11-23T02:11:55.0716022Z test_ref_small_input_prod_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0716140Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0716278Z test_ref_small_input_prod_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0716401Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0716536Z test_ref_small_input_prod_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0716685Z Compares op against reference for small input tensors ... skip: Skipped! (0.001s) 2022-11-23T02:11:55.0716815Z test_ref_small_input_prod_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0716941Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0717068Z test_ref_small_input_prod_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0717184Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0717314Z test_ref_small_input_prod_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0717442Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0717573Z test_ref_small_input_prod_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0717697Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0717822Z test_ref_small_input_prod_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0717983Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0718112Z test_ref_small_input_prod_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0718229Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0718358Z test_ref_small_input_prod_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0718486Z Compares op against reference for small input tensors ... ok (0.004s) 2022-11-23T02:11:55.0718619Z test_ref_small_input_std_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0718767Z Compares op against reference for small input tensors ... skip: Skipped! (0.001s) 2022-11-23T02:11:55.0718926Z test_ref_small_input_std_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0719071Z Compares op against reference for small input tensors ... skip: Skipped! (0.001s) 2022-11-23T02:11:55.0719201Z test_ref_small_input_std_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0719338Z Compares op against reference for small input tensors ... skip: Skipped! (0.001s) 2022-11-23T02:11:55.0719466Z test_ref_small_input_std_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0719608Z Compares op against reference for small input tensors ... skip: Skipped! (0.001s) 2022-11-23T02:11:55.0719737Z test_ref_small_input_std_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0719881Z Compares op against reference for small input tensors ... skip: Skipped! (0.001s) 2022-11-23T02:11:55.0720007Z test_ref_small_input_sum_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0720137Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0720272Z test_ref_small_input_sum_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0720391Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0720521Z test_ref_small_input_sum_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0720647Z Compares op against reference for small input tensors ... ok (0.003s) 2022-11-23T02:11:55.0720780Z test_ref_small_input_sum_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0720925Z Compares op against reference for small input tensors ... skip: Skipped! (0.001s) 2022-11-23T02:11:55.0721053Z test_ref_small_input_sum_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0721183Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0721309Z test_ref_small_input_sum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0721426Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0721548Z test_ref_small_input_sum_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0721681Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0721806Z test_ref_small_input_sum_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0721936Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0722062Z test_ref_small_input_sum_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0722191Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0722318Z test_ref_small_input_sum_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0722435Z Compares op against reference for small input tensors ... ok (0.002s) 2022-11-23T02:11:55.0722559Z test_ref_small_input_sum_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0722690Z Compares op against reference for small input tensors ... ok (0.005s) 2022-11-23T02:11:55.0722824Z test_ref_small_input_var_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0722971Z Compares op against reference for small input tensors ... skip: Skipped! (0.001s) 2022-11-23T02:11:55.0723102Z test_ref_small_input_var_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0723246Z Compares op against reference for small input tensors ... skip: Skipped! (0.001s) 2022-11-23T02:11:55.0723390Z test_ref_small_input_var_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0723537Z Compares op against reference for small input tensors ... skip: Skipped! (0.001s) 2022-11-23T02:11:55.0723664Z test_ref_small_input_var_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0723807Z Compares op against reference for small input tensors ... skip: Skipped! (0.001s) 2022-11-23T02:11:55.0723934Z test_ref_small_input_var_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0724076Z Compares op against reference for small input tensors ... skip: Skipped! (0.001s) 2022-11-23T02:11:55.0724218Z test_reference_masked_masked_amax_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0724542Z Test masked reduction operations on strided-only tensors using ... ok (0.035s) 2022-11-23T02:11:55.0724674Z test_reference_masked_masked_amax_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0724885Z Test masked reduction operations on strided-only tensors using ... ok (0.034s) 2022-11-23T02:11:55.0725030Z test_reference_masked_masked_amax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0725241Z Test masked reduction operations on strided-only tensors using ... ok (0.034s) 2022-11-23T02:11:55.0725383Z test_reference_masked_masked_amax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0725592Z Test masked reduction operations on strided-only tensors using ... ok (0.033s) 2022-11-23T02:11:55.0725731Z test_reference_masked_masked_amax_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0725937Z Test masked reduction operations on strided-only tensors using ... ok (0.024s) 2022-11-23T02:11:55.0726080Z test_reference_masked_masked_amax_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0726272Z Test masked reduction operations on strided-only tensors using ... ok (0.024s) 2022-11-23T02:11:55.0726413Z test_reference_masked_masked_amax_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0726621Z Test masked reduction operations on strided-only tensors using ... ok (0.023s) 2022-11-23T02:11:55.0726761Z test_reference_masked_masked_amax_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0726964Z Test masked reduction operations on strided-only tensors using ... ok (0.023s) 2022-11-23T02:11:55.0727104Z test_reference_masked_masked_amax_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0727308Z Test masked reduction operations on strided-only tensors using ... ok (0.023s) 2022-11-23T02:11:55.0727451Z test_reference_masked_masked_amin_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0727643Z Test masked reduction operations on strided-only tensors using ... ok (0.035s) 2022-11-23T02:11:55.0727787Z test_reference_masked_masked_amin_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0727992Z Test masked reduction operations on strided-only tensors using ... ok (0.034s) 2022-11-23T02:11:55.0728133Z test_reference_masked_masked_amin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0728341Z Test masked reduction operations on strided-only tensors using ... ok (0.034s) 2022-11-23T02:11:55.0728481Z test_reference_masked_masked_amin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0728686Z Test masked reduction operations on strided-only tensors using ... ok (0.033s) 2022-11-23T02:11:55.0728826Z test_reference_masked_masked_amin_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0729018Z Test masked reduction operations on strided-only tensors using ... ok (0.024s) 2022-11-23T02:11:55.0729156Z test_reference_masked_masked_amin_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0729358Z Test masked reduction operations on strided-only tensors using ... ok (0.024s) 2022-11-23T02:11:55.0729497Z test_reference_masked_masked_amin_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0729701Z Test masked reduction operations on strided-only tensors using ... ok (0.023s) 2022-11-23T02:11:55.0729840Z test_reference_masked_masked_amin_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0730073Z Test masked reduction operations on strided-only tensors using ... ok (0.024s) 2022-11-23T02:11:55.0730214Z test_reference_masked_masked_amin_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0730406Z Test masked reduction operations on strided-only tensors using ... ok (0.024s) 2022-11-23T02:11:55.0730559Z test_reference_masked_masked_argmax_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0730792Z Test masked reduction operations on strided-only tensors using ... expected failure (0.002s) 2022-11-23T02:11:55.0730933Z test_reference_masked_masked_argmax_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0731195Z Test masked reduction operations on strided-only tensors using ... expected failure (0.002s) 2022-11-23T02:11:55.0731338Z test_reference_masked_masked_argmax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0731571Z Test masked reduction operations on strided-only tensors using ... expected failure (0.002s) 2022-11-23T02:11:55.0731717Z test_reference_masked_masked_argmax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0731937Z Test masked reduction operations on strided-only tensors using ... expected failure (0.002s) 2022-11-23T02:11:55.0732081Z test_reference_masked_masked_argmax_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0732306Z Test masked reduction operations on strided-only tensors using ... expected failure (0.002s) 2022-11-23T02:11:55.0732446Z test_reference_masked_masked_argmax_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0732671Z Test masked reduction operations on strided-only tensors using ... expected failure (0.002s) 2022-11-23T02:11:55.0732812Z test_reference_masked_masked_argmax_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0733037Z Test masked reduction operations on strided-only tensors using ... expected failure (0.002s) 2022-11-23T02:11:55.0733177Z test_reference_masked_masked_argmax_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0733390Z Test masked reduction operations on strided-only tensors using ... expected failure (0.002s) 2022-11-23T02:11:55.0733528Z test_reference_masked_masked_argmax_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0733749Z Test masked reduction operations on strided-only tensors using ... expected failure (0.002s) 2022-11-23T02:11:55.0733896Z test_reference_masked_masked_argmin_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0734127Z Test masked reduction operations on strided-only tensors using ... expected failure (0.002s) 2022-11-23T02:11:55.0734273Z test_reference_masked_masked_argmin_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0734508Z Test masked reduction operations on strided-only tensors using ... expected failure (0.002s) 2022-11-23T02:11:55.0734650Z test_reference_masked_masked_argmin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0734868Z Test masked reduction operations on strided-only tensors using ... expected failure (0.002s) 2022-11-23T02:11:55.0735013Z test_reference_masked_masked_argmin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0735237Z Test masked reduction operations on strided-only tensors using ... expected failure (0.002s) 2022-11-23T02:11:55.0735377Z test_reference_masked_masked_argmin_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0735604Z Test masked reduction operations on strided-only tensors using ... expected failure (0.002s) 2022-11-23T02:11:55.0735742Z test_reference_masked_masked_argmin_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0735967Z Test masked reduction operations on strided-only tensors using ... expected failure (0.002s) 2022-11-23T02:11:55.0736108Z test_reference_masked_masked_argmin_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0736331Z Test masked reduction operations on strided-only tensors using ... expected failure (0.002s) 2022-11-23T02:11:55.0736461Z test_reference_masked_masked_argmin_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0736717Z Test masked reduction operations on strided-only tensors using ... expected failure (0.002s) 2022-11-23T02:11:55.0736858Z test_reference_masked_masked_argmin_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0737081Z Test masked reduction operations on strided-only tensors using ... expected failure (0.002s) 2022-11-23T02:11:55.0737225Z test_reference_masked_masked_prod_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0737432Z Test masked reduction operations on strided-only tensors using ... ok (0.037s) 2022-11-23T02:11:55.0737571Z test_reference_masked_masked_prod_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0737855Z Test masked reduction operations on strided-only tensors using ... skip: Failing on some jobs (0.001s) 2022-11-23T02:11:55.0737993Z test_reference_masked_masked_prod_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0738197Z Test masked reduction operations on strided-only tensors using ... ok (0.033s) 2022-11-23T02:11:55.0738345Z test_reference_masked_masked_prod_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0738551Z Test masked reduction operations on strided-only tensors using ... ok (0.034s) 2022-11-23T02:11:55.0738695Z test_reference_masked_masked_prod_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0739039Z Test masked reduction operations on strided-only tensors using ... ok (0.036s) 2022-11-23T02:11:55.0739183Z test_reference_masked_masked_prod_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0739387Z Test masked reduction operations on strided-only tensors using ... ok (0.034s) 2022-11-23T02:11:55.0739518Z test_reference_masked_masked_prod_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0739768Z Test masked reduction operations on strided-only tensors using ... skip: Failing on some jobs (0.001s) 2022-11-23T02:11:55.0739909Z test_reference_masked_masked_prod_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0740160Z Test masked reduction operations on strided-only tensors using ... skip: Failing on some jobs (0.001s) 2022-11-23T02:11:55.0740300Z test_reference_masked_masked_prod_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0740507Z Test masked reduction operations on strided-only tensors using ... ok (0.024s) 2022-11-23T02:11:55.0740648Z test_reference_masked_masked_prod_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0740899Z Test masked reduction operations on strided-only tensors using ... skip: Failing on some jobs (0.001s) 2022-11-23T02:11:55.0741028Z test_reference_masked_masked_prod_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0741235Z Test masked reduction operations on strided-only tensors using ... ok (0.026s) 2022-11-23T02:11:55.0741379Z test_reference_masked_masked_sum_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0741586Z Test masked reduction operations on strided-only tensors using ... ok (0.035s) 2022-11-23T02:11:55.0741725Z test_reference_masked_masked_sum_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0741972Z Test masked reduction operations on strided-only tensors using ... skip: Failing on some jobs (0.001s) 2022-11-23T02:11:55.0742114Z test_reference_masked_masked_sum_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0742319Z Test masked reduction operations on strided-only tensors using ... ok (0.031s) 2022-11-23T02:11:55.0742452Z test_reference_masked_masked_sum_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0742655Z Test masked reduction operations on strided-only tensors using ... ok (0.032s) 2022-11-23T02:11:55.0742795Z test_reference_masked_masked_sum_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0743005Z Test masked reduction operations on strided-only tensors using ... ok (0.033s) 2022-11-23T02:11:55.0743146Z test_reference_masked_masked_sum_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0743352Z Test masked reduction operations on strided-only tensors using ... ok (0.033s) 2022-11-23T02:11:55.0743540Z test_reference_masked_masked_sum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0743749Z Test masked reduction operations on strided-only tensors using ... ok (0.033s) 2022-11-23T02:11:55.0743886Z test_reference_masked_masked_sum_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0744119Z Test masked reduction operations on strided-only tensors using ... skip: Failing on some jobs (0.001s) 2022-11-23T02:11:55.0744256Z test_reference_masked_masked_sum_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0744504Z Test masked reduction operations on strided-only tensors using ... skip: Failing on some jobs (0.001s) 2022-11-23T02:11:55.0744681Z test_reference_masked_masked_sum_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0744886Z Test masked reduction operations on strided-only tensors using ... ok (0.022s) 2022-11-23T02:11:55.0745025Z test_reference_masked_masked_sum_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0745274Z Test masked reduction operations on strided-only tensors using ... skip: Failing on some jobs (0.001s) 2022-11-23T02:11:55.0745413Z test_reference_masked_masked_sum_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0745606Z Test masked reduction operations on strided-only tensors using ... ok (0.024s) 2022-11-23T02:11:55.0745741Z test_repeated_dim_cpu (__main__.TestReductionsCPU) ... ok (0.092s) 2022-11-23T02:11:55.0745870Z test_result_dtype_all_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0745993Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0746121Z test_result_dtype_all_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0746240Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0746374Z test_result_dtype_all_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0746490Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0746612Z test_result_dtype_all_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0746728Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0746855Z test_result_dtype_all_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0746971Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0747098Z test_result_dtype_all_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0747216Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0747343Z test_result_dtype_all_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0747449Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0747576Z test_result_dtype_all_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0747692Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0747818Z test_result_dtype_all_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0747935Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0748060Z test_result_dtype_all_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0748177Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0748301Z test_result_dtype_all_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0748405Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0748526Z test_result_dtype_all_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0748661Z Tests that the result has the correct dtype ... expected failure (0.002s) 2022-11-23T02:11:55.0748789Z test_result_dtype_amax_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0748906Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0749029Z test_result_dtype_amax_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0749226Z Tests that the result has the correct dtype ... ok (0.001s) 2022-11-23T02:11:55.0749345Z test_result_dtype_amax_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0749494Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0749623Z test_result_dtype_amax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0749738Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0749865Z test_result_dtype_amax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0749980Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0750109Z test_result_dtype_amax_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0750226Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0750370Z test_result_dtype_amax_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0750485Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0750609Z test_result_dtype_amax_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0750725Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0750853Z test_result_dtype_amax_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0750967Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0751093Z test_result_dtype_amax_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0751195Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0751326Z test_result_dtype_amin_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0751440Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0751564Z test_result_dtype_amin_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0751678Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0751807Z test_result_dtype_amin_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0751922Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0752049Z test_result_dtype_amin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0752156Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0752282Z test_result_dtype_amin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0752398Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0752524Z test_result_dtype_amin_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0752637Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0752759Z test_result_dtype_amin_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0752874Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0752998Z test_result_dtype_amin_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0753104Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0753227Z test_result_dtype_amin_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0753343Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0753469Z test_result_dtype_amin_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0753583Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0753710Z test_result_dtype_any_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0753825Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0753939Z test_result_dtype_any_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0754055Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0754186Z test_result_dtype_any_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0754299Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0754430Z test_result_dtype_any_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0754543Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0754671Z test_result_dtype_any_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0754788Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0754936Z test_result_dtype_any_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0755053Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0755179Z test_result_dtype_any_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0755295Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0755415Z test_result_dtype_any_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0755529Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0755646Z test_result_dtype_any_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0755791Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0755909Z test_result_dtype_any_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0756022Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0756143Z test_result_dtype_any_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0756256Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0756376Z test_result_dtype_any_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0756509Z Tests that the result has the correct dtype ... expected failure (0.002s) 2022-11-23T02:11:55.0756644Z test_result_dtype_argmax_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0756747Z Tests that the result has the correct dtype ... ok (0.001s) 2022-11-23T02:11:55.0756877Z test_result_dtype_argmax_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0756989Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0757121Z test_result_dtype_argmax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0757237Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0757366Z test_result_dtype_argmax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0757482Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0757612Z test_result_dtype_argmax_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0757717Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0757843Z test_result_dtype_argmax_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0757958Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0758081Z test_result_dtype_argmax_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0758196Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0758323Z test_result_dtype_argmax_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0758441Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0758559Z test_result_dtype_argmax_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0758673Z Tests that the result has the correct dtype ... ok (0.001s) 2022-11-23T02:11:55.0758803Z test_result_dtype_argmin_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0758919Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0759049Z test_result_dtype_argmin_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0759164Z Tests that the result has the correct dtype ... ok (0.001s) 2022-11-23T02:11:55.0759292Z test_result_dtype_argmin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0759406Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0759524Z test_result_dtype_argmin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0759637Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0759764Z test_result_dtype_argmin_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0759881Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0760006Z test_result_dtype_argmin_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0760118Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0760271Z test_result_dtype_argmin_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0760376Z Tests that the result has the correct dtype ... ok (0.001s) 2022-11-23T02:11:55.0760503Z test_result_dtype_argmin_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0760616Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0760743Z test_result_dtype_argmin_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0760856Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0760995Z test_result_dtype_count_nonzero_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0761139Z Tests that the result has the correct dtype ... ok (0.001s) 2022-11-23T02:11:55.0761272Z test_result_dtype_count_nonzero_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0761373Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0761516Z test_result_dtype_count_nonzero_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0761632Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0761773Z test_result_dtype_count_nonzero_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0761883Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0762019Z test_result_dtype_count_nonzero_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0762131Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0762263Z test_result_dtype_count_nonzero_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0762363Z Tests that the result has the correct dtype ... ok (0.001s) 2022-11-23T02:11:55.0762499Z test_result_dtype_count_nonzero_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0762611Z Tests that the result has the correct dtype ... ok (0.001s) 2022-11-23T02:11:55.0762746Z test_result_dtype_count_nonzero_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0762862Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0762999Z test_result_dtype_count_nonzero_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0763114Z Tests that the result has the correct dtype ... ok (0.001s) 2022-11-23T02:11:55.0763248Z test_result_dtype_count_nonzero_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0763351Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0763486Z test_result_dtype_count_nonzero_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0763598Z Tests that the result has the correct dtype ... ok (0.001s) 2022-11-23T02:11:55.0763732Z test_result_dtype_count_nonzero_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0763848Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0763996Z test_result_dtype_linalg_vector_norm_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0764109Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0764250Z test_result_dtype_linalg_vector_norm_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0764365Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0764512Z test_result_dtype_linalg_vector_norm_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0764626Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0764770Z test_result_dtype_linalg_vector_norm_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0764883Z Tests that the result has the correct dtype ... ok (0.001s) 2022-11-23T02:11:55.0765026Z test_result_dtype_linalg_vector_norm_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0765145Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0765278Z test_result_dtype_linalg_vector_norm_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0765394Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0765563Z test_result_dtype_masked_amax_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0765678Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0765813Z test_result_dtype_masked_amax_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0765924Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0766067Z test_result_dtype_masked_amax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0766189Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0766314Z test_result_dtype_masked_amax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0766434Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0766597Z test_result_dtype_masked_amax_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0766716Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0766850Z test_result_dtype_masked_amax_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0766967Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0767101Z test_result_dtype_masked_amax_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0767205Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0767338Z test_result_dtype_masked_amax_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0767453Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0767586Z test_result_dtype_masked_amax_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0767702Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0767838Z test_result_dtype_masked_amin_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0767959Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0768095Z test_result_dtype_masked_amin_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0768198Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0768335Z test_result_dtype_masked_amin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0768449Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0768583Z test_result_dtype_masked_amin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0768698Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0768833Z test_result_dtype_masked_amin_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0768946Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0769077Z test_result_dtype_masked_amin_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0769183Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0769317Z test_result_dtype_masked_amin_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0769432Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0769565Z test_result_dtype_masked_amin_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0769682Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0769815Z test_result_dtype_masked_amin_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0769930Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0770071Z test_result_dtype_masked_argmax_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0770174Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0770313Z test_result_dtype_masked_argmax_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0770429Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0770566Z test_result_dtype_masked_argmax_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0770681Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0770814Z test_result_dtype_masked_argmax_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0770958Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0771083Z test_result_dtype_masked_argmax_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0771198Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0771331Z test_result_dtype_masked_argmax_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0771446Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0771579Z test_result_dtype_masked_argmax_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0771692Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0771827Z test_result_dtype_masked_argmax_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0771972Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0772095Z test_result_dtype_masked_argmax_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0772209Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0772349Z test_result_dtype_masked_argmin_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0772463Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0772600Z test_result_dtype_masked_argmin_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0772709Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0772845Z test_result_dtype_masked_argmin_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0772959Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0773082Z test_result_dtype_masked_argmin_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0773196Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0773331Z test_result_dtype_masked_argmin_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0773444Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0773578Z test_result_dtype_masked_argmin_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0773693Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0773824Z test_result_dtype_masked_argmin_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0773925Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0774059Z test_result_dtype_masked_argmin_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0774171Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0774304Z test_result_dtype_masked_argmin_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0774417Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0774563Z test_result_dtype_masked_logsumexp_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0774677Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0774821Z test_result_dtype_masked_logsumexp_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0774926Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0775065Z test_result_dtype_masked_logsumexp_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0775179Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0775319Z test_result_dtype_masked_logsumexp_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0775430Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0775566Z test_result_dtype_masked_logsumexp_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0775678Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0775813Z test_result_dtype_masked_logsumexp_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0775916Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0776056Z test_result_dtype_masked_logsumexp_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0776174Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0776340Z test_result_dtype_masked_logsumexp_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0776452Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0776588Z test_result_dtype_masked_mean_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0776703Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0776834Z test_result_dtype_masked_mean_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0776938Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0777075Z test_result_dtype_masked_mean_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0777215Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0777355Z test_result_dtype_masked_mean_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0777467Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0777601Z test_result_dtype_masked_mean_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0777720Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0777845Z test_result_dtype_masked_mean_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0777958Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0778092Z test_result_dtype_masked_mean_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0778203Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0778336Z test_result_dtype_masked_mean_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0778450Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0778584Z test_result_dtype_masked_mean_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0778697Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0778950Z test_result_dtype_masked_mean_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0779068Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0779201Z test_result_dtype_masked_mean_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0779315Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0779448Z test_result_dtype_masked_mean_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0779563Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0779700Z test_result_dtype_masked_norm_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0779814Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0779936Z test_result_dtype_masked_norm_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0780054Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0780192Z test_result_dtype_masked_norm_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0780305Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0780442Z test_result_dtype_masked_norm_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0780556Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0780693Z test_result_dtype_masked_prod_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0780796Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0780931Z test_result_dtype_masked_prod_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0781044Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0781183Z test_result_dtype_masked_prod_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0781300Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0781440Z test_result_dtype_masked_prod_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0781549Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0781683Z test_result_dtype_masked_prod_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0781833Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0781974Z test_result_dtype_masked_prod_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0782088Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0782224Z test_result_dtype_masked_prod_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0782339Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0782474Z test_result_dtype_masked_prod_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0782589Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0782755Z test_result_dtype_masked_prod_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0782858Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0782989Z test_result_dtype_masked_prod_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0783102Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0783236Z test_result_dtype_masked_prod_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0783348Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0783482Z test_result_dtype_masked_std_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0783597Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0783727Z test_result_dtype_masked_std_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0783839Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0783976Z test_result_dtype_masked_std_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0784088Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0784223Z test_result_dtype_masked_std_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0784340Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0784474Z test_result_dtype_masked_std_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0784588Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0784709Z test_result_dtype_masked_std_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0784824Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0784954Z test_result_dtype_masked_std_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0785067Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0785199Z test_result_dtype_masked_std_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0785313Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0785448Z test_result_dtype_masked_std_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0785562Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0785682Z test_result_dtype_masked_std_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0785799Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0785937Z test_result_dtype_masked_sum_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0786049Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0786180Z test_result_dtype_masked_sum_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0786294Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0786429Z test_result_dtype_masked_sum_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0786530Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0786667Z test_result_dtype_masked_sum_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0786783Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0786916Z test_result_dtype_masked_sum_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0787030Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0787192Z test_result_dtype_masked_sum_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0787308Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0787442Z test_result_dtype_masked_sum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0787543Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0787672Z test_result_dtype_masked_sum_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0787784Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0787914Z test_result_dtype_masked_sum_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0788065Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0788196Z test_result_dtype_masked_sum_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0788309Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0788441Z test_result_dtype_masked_sum_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0788545Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0788675Z test_result_dtype_masked_sum_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0788789Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0788925Z test_result_dtype_masked_var_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0789040Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0789256Z test_result_dtype_masked_var_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0789374Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0789503Z test_result_dtype_masked_var_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0789617Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0789750Z test_result_dtype_masked_var_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0789864Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0790001Z test_result_dtype_masked_var_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0790118Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0790252Z test_result_dtype_masked_var_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0790367Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0790487Z test_result_dtype_masked_var_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0790603Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0790734Z test_result_dtype_masked_var_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0790850Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0790980Z test_result_dtype_masked_var_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0791095Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0791228Z test_result_dtype_masked_var_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0791343Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0791462Z test_result_dtype_masked_var_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0791578Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0791705Z test_result_dtype_mean_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0791818Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0791951Z test_result_dtype_mean_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0792064Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0792199Z test_result_dtype_mean_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0792302Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0792428Z test_result_dtype_mean_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0792577Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0792705Z test_result_dtype_mean_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0792819Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0792943Z test_result_dtype_mean_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0793056Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0793188Z test_result_dtype_nanmean_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0793292Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0793423Z test_result_dtype_nanmean_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0793579Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0793712Z test_result_dtype_nanmean_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0793826Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0793960Z test_result_dtype_nanmean_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0794075Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0794205Z test_result_dtype_nansum_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0794307Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0794436Z test_result_dtype_nansum_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0794547Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0794680Z test_result_dtype_nansum_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0794791Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0794923Z test_result_dtype_nansum_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0795036Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0795153Z test_result_dtype_nansum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0795264Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0795394Z test_result_dtype_nansum_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0795506Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0795633Z test_result_dtype_nansum_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0795748Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0795874Z test_result_dtype_nansum_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0795988Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0796103Z test_result_dtype_nansum_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0796217Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0796344Z test_result_dtype_nansum_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0796459Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0796588Z test_result_dtype_prod_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0796702Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0796827Z test_result_dtype_prod_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0796942Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0797065Z test_result_dtype_prod_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0797178Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0797311Z test_result_dtype_prod_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0797425Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0797553Z test_result_dtype_prod_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0797664Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0797790Z test_result_dtype_prod_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0797891Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0798041Z test_result_dtype_prod_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0798159Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0798285Z test_result_dtype_prod_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0798400Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0798525Z test_result_dtype_prod_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0798638Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0798763Z test_result_dtype_prod_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0798893Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0799019Z test_result_dtype_prod_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0799132Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0799259Z test_result_dtype_std_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0799372Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0799502Z test_result_dtype_std_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0799616Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0799735Z test_result_dtype_std_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0799851Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0799976Z test_result_dtype_std_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0800090Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0800216Z test_result_dtype_std_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0800332Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0800459Z test_result_dtype_std_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0800571Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0800688Z test_result_dtype_sum_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0800801Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0800927Z test_result_dtype_sum_cpu_bool (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0801041Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0801174Z test_result_dtype_sum_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0801289Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0801417Z test_result_dtype_sum_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0801532Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0801654Z test_result_dtype_sum_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0801766Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0801893Z test_result_dtype_sum_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0802008Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0802133Z test_result_dtype_sum_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0802247Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0802369Z test_result_dtype_sum_cpu_int16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0802475Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0802597Z test_result_dtype_sum_cpu_int32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0802712Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0802834Z test_result_dtype_sum_cpu_int64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0802950Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0803074Z test_result_dtype_sum_cpu_int8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0803186Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0803307Z test_result_dtype_sum_cpu_uint8 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0803446Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0803575Z test_result_dtype_var_cpu_bfloat16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0803687Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0803820Z test_result_dtype_var_cpu_complex128 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0803933Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0804062Z test_result_dtype_var_cpu_complex64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0804170Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0804314Z test_result_dtype_var_cpu_float16 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0804431Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0804557Z test_result_dtype_var_cpu_float32 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0804669Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0804797Z test_result_dtype_var_cpu_float64 (__main__.TestReductionsCPU) 2022-11-23T02:11:55.0804917Z Tests that the result has the correct dtype ... ok (0.002s) 2022-11-23T02:11:55.0805379Z test_std_correction_vs_numpy_cpu_complex128 (__main__.TestReductionsCPU) ... /opt/conda/lib/python3.7/site-packages/numpy/core/_methods.py:207: RuntimeWarning: divide by zero encountered in true_divide 2022-11-23T02:11:55.0805541Z ret, rcount, out=ret, casting='unsafe', subok=False) 2022-11-23T02:11:55.0805596Z ok (0.009s) 2022-11-23T02:11:55.0805754Z test_std_correction_vs_numpy_cpu_complex64 (__main__.TestReductionsCPU) ... ok (0.009s) 2022-11-23T02:11:55.0805910Z test_std_correction_vs_numpy_cpu_float32 (__main__.TestReductionsCPU) ... ok (0.008s) 2022-11-23T02:11:55.0806062Z test_std_correction_vs_numpy_cpu_float64 (__main__.TestReductionsCPU) ... ok (0.008s) 2022-11-23T02:11:55.0806186Z test_std_dim_cpu (__main__.TestReductionsCPU) ... ok (0.970s) 2022-11-23T02:11:55.0806321Z test_std_mean_all_dims_cpu (__main__.TestReductionsCPU) ... ok (0.003s) 2022-11-23T02:11:55.0806475Z test_std_mean_correction_cpu_complex128 (__main__.TestReductionsCPU) ... ok (0.010s) 2022-11-23T02:11:55.0806628Z test_std_mean_correction_cpu_complex64 (__main__.TestReductionsCPU) ... ok (0.011s) 2022-11-23T02:11:55.0806762Z test_std_mean_correction_cpu_float32 (__main__.TestReductionsCPU) ... ok (0.008s) 2022-11-23T02:11:55.0806902Z test_std_mean_correction_cpu_float64 (__main__.TestReductionsCPU) ... ok (0.008s) 2022-11-23T02:11:55.0807028Z test_std_mean_cpu (__main__.TestReductionsCPU) ... ok (0.020s) 2022-11-23T02:11:55.0807161Z test_std_mean_some_dims_cpu (__main__.TestReductionsCPU) ... ok (0.034s) 2022-11-23T02:11:55.0807303Z test_std_vs_numpy_cpu_complex128 (__main__.TestReductionsCPU) ... ok (0.007s) 2022-11-23T02:11:55.0807446Z test_std_vs_numpy_cpu_complex64 (__main__.TestReductionsCPU) ... ok (0.007s) 2022-11-23T02:11:55.0807585Z test_std_vs_numpy_cpu_float32 (__main__.TestReductionsCPU) ... ok (0.006s) 2022-11-23T02:11:55.0807724Z test_std_vs_numpy_cpu_float64 (__main__.TestReductionsCPU) ... ok (0.006s) 2022-11-23T02:11:55.0807840Z test_sum_all_cpu_bool (__main__.TestReductionsCPU) ... ok (0.001s) 2022-11-23T02:11:55.0807969Z test_sum_all_cpu_float64 (__main__.TestReductionsCPU) ... ok (0.015s) 2022-11-23T02:11:55.0808134Z test_sum_cpu_device_mismatch_cpu (__main__.TestReductionsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:11:55.0808327Z test_sum_dim_cpu (__main__.TestReductionsCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T02:11:55.0808961Z test_sum_dim_reduction_uint8_overflow_cpu (__main__.TestReductionsCPU) ... test_reductions.py:457: UserWarning: An output with one or more elements was resized since it had shape [2, 3], which does not match the required output shape [3]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T02:11:55.0809047Z torch.sum(x, 0, out=y) 2022-11-23T02:11:55.0809117Z ok (0.002s) 2022-11-23T02:11:55.0809256Z test_sum_integer_upcast_cpu (__main__.TestReductionsCPU) ... ok (0.211s) 2022-11-23T02:11:55.0809419Z test_sum_noncontig_cpu_float64 (__main__.TestReductionsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:11:55.0809549Z test_sum_out_cpu_float64 (__main__.TestReductionsCPU) ... ok (0.011s) 2022-11-23T02:11:55.0809668Z test_sum_parallel_cpu (__main__.TestReductionsCPU) ... ok (0.181s) 2022-11-23T02:11:55.0810087Z test_sum_vs_numpy_cpu_float16 (__main__.TestReductionsCPU) ... /opt/conda/lib/python3.7/site-packages/numpy/core/fromnumeric.py:90: RuntimeWarning: invalid value encountered in reduce 2022-11-23T02:11:55.0810211Z return ufunc.reduce(obj, axis, dtype, out, **passkwargs) 2022-11-23T02:11:55.0810274Z ok (0.019s) 2022-11-23T02:11:55.0810417Z test_sum_vs_numpy_cpu_float32 (__main__.TestReductionsCPU) ... ok (0.017s) 2022-11-23T02:11:55.0810551Z test_sum_vs_numpy_cpu_float64 (__main__.TestReductionsCPU) ... ok (0.018s) 2022-11-23T02:11:55.0810683Z test_sum_vs_numpy_cpu_int16 (__main__.TestReductionsCPU) ... ok (0.009s) 2022-11-23T02:11:55.0810816Z test_sum_vs_numpy_cpu_int32 (__main__.TestReductionsCPU) ... ok (0.009s) 2022-11-23T02:11:55.0810933Z test_sum_vs_numpy_cpu_int64 (__main__.TestReductionsCPU) ... ok (0.008s) 2022-11-23T02:11:55.0811071Z test_sum_vs_numpy_cpu_int8 (__main__.TestReductionsCPU) ... ok (0.008s) 2022-11-23T02:11:55.0811204Z test_sum_vs_numpy_cpu_uint8 (__main__.TestReductionsCPU) ... ok (0.002s) 2022-11-23T02:11:55.0811381Z test_tensor_compare_ops_argmax_argmix_kthvalue_dim_empty_cpu (__main__.TestReductionsCPU) ... ok (0.028s) 2022-11-23T02:11:55.0811524Z test_tensor_compare_ops_empty_cpu (__main__.TestReductionsCPU) ... ok (0.032s) 2022-11-23T02:11:55.0811899Z test_tensor_reduce_ops_empty_cpu (__main__.TestReductionsCPU) ... /opt/conda/lib/python3.7/site-packages/numpy/core/fromnumeric.py:3335: RuntimeWarning: Mean of empty slice. 2022-11-23T02:11:55.0811972Z out=out, **kwargs) 2022-11-23T02:11:55.0812261Z /opt/conda/lib/python3.7/site-packages/numpy/core/_methods.py:154: RuntimeWarning: invalid value encountered in true_divide 2022-11-23T02:11:55.0812410Z ret, rcount, out=ret, casting='unsafe', subok=False) 2022-11-23T02:11:55.0812690Z /opt/conda/lib/python3.7/site-packages/numpy/core/fromnumeric.py:3584: RuntimeWarning: Degrees of freedom <= 0 for slice 2022-11-23T02:11:55.0812755Z **kwargs) 2022-11-23T02:11:55.0813042Z /opt/conda/lib/python3.7/site-packages/numpy/core/_methods.py:186: RuntimeWarning: invalid value encountered in true_divide 2022-11-23T02:11:55.0813218Z arrmean, rcount, out=arrmean, casting='unsafe', subok=False) 2022-11-23T02:11:55.0813499Z /opt/conda/lib/python3.7/site-packages/numpy/core/_methods.py:207: RuntimeWarning: invalid value encountered in true_divide 2022-11-23T02:11:55.0813655Z ret, rcount, out=ret, casting='unsafe', subok=False) 2022-11-23T02:11:55.0813926Z /opt/conda/lib/python3.7/site-packages/numpy/core/_methods.py:217: RuntimeWarning: Degrees of freedom <= 0 for slice 2022-11-23T02:11:55.0814001Z keepdims=keepdims) 2022-11-23T02:11:55.0814055Z ok (0.022s) 2022-11-23T02:11:55.0814463Z test_var_correction_vs_numpy_cpu_complex128 (__main__.TestReductionsCPU) ... /opt/conda/lib/python3.7/site-packages/numpy/core/_methods.py:207: RuntimeWarning: divide by zero encountered in true_divide 2022-11-23T02:11:55.0814622Z ret, rcount, out=ret, casting='unsafe', subok=False) 2022-11-23T02:11:55.0814691Z ok (0.008s) 2022-11-23T02:11:55.0814847Z test_var_correction_vs_numpy_cpu_complex64 (__main__.TestReductionsCPU) ... ok (0.008s) 2022-11-23T02:11:55.0814999Z test_var_correction_vs_numpy_cpu_float32 (__main__.TestReductionsCPU) ... ok (0.008s) 2022-11-23T02:11:55.0815206Z test_var_correction_vs_numpy_cpu_float64 (__main__.TestReductionsCPU) ... ok (0.007s) 2022-11-23T02:11:55.0815352Z test_var_cpu (__main__.TestReductionsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:11:55.0815464Z test_var_dim_cpu (__main__.TestReductionsCPU) ... ok (0.967s) 2022-11-23T02:11:55.0815620Z test_var_large_input_cpu (__main__.TestReductionsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:11:55.0815753Z test_var_mean_all_dims_cpu (__main__.TestReductionsCPU) ... ok (0.003s) 2022-11-23T02:11:55.0815902Z test_var_mean_correction_cpu_complex128 (__main__.TestReductionsCPU) ... ok (0.010s) 2022-11-23T02:11:55.0816053Z test_var_mean_correction_cpu_complex64 (__main__.TestReductionsCPU) ... ok (0.010s) 2022-11-23T02:11:55.0816225Z test_var_mean_correction_cpu_float32 (__main__.TestReductionsCPU) ... ok (0.008s) 2022-11-23T02:11:55.0816367Z test_var_mean_correction_cpu_float64 (__main__.TestReductionsCPU) ... ok (0.008s) 2022-11-23T02:11:55.0816492Z test_var_mean_cpu (__main__.TestReductionsCPU) ... ok (0.122s) 2022-11-23T02:11:55.0816617Z test_var_mean_some_dims_cpu (__main__.TestReductionsCPU) ... ok (0.035s) 2022-11-23T02:11:55.0816750Z test_var_stability2_cpu (__main__.TestReductionsCPU) ... ok (0.002s) 2022-11-23T02:11:55.0816881Z test_var_stability_cpu (__main__.TestReductionsCPU) ... ok (0.001s) 2022-11-23T02:11:55.0817013Z test_var_unbiased_cpu (__main__.TestReductionsCPU) ... ok (0.003s) 2022-11-23T02:11:55.0817154Z test_var_vs_numpy_cpu_complex128 (__main__.TestReductionsCPU) ... ok (0.006s) 2022-11-23T02:11:55.0817292Z test_var_vs_numpy_cpu_complex64 (__main__.TestReductionsCPU) ... ok (0.007s) 2022-11-23T02:11:55.0817431Z test_var_vs_numpy_cpu_float32 (__main__.TestReductionsCPU) ... ok (0.005s) 2022-11-23T02:11:55.0817570Z test_var_vs_numpy_cpu_float64 (__main__.TestReductionsCPU) ... ok (0.005s) 2022-11-23T02:11:55.0817580Z 2022-11-23T02:11:55.0817768Z ---------------------------------------------------------------------- 2022-11-23T02:11:55.0817848Z Ran 2925 tests in 148.136s 2022-11-23T02:11:55.0817853Z 2022-11-23T02:11:55.0817950Z OK (skipped=101, expected failures=48) 2022-11-23T02:11:55.0817956Z 2022-11-23T02:11:55.0818037Z Generating XML reports... 2022-11-23T02:11:55.0818334Z Generated XML report: test-reports/python-unittest/test_reductions/TEST-TestReductionsCPU-20221123020926.xml 2022-11-23T02:11:55.0818339Z 2022-11-23T02:11:55.0818682Z ##[endgroup] 2022-11-23T02:11:55.0819102Z FINISHED PRINTING LOG FILE of test_reductions (/var/lib/jenkins/workspace/test/test-reports/test_reductions_ssiikc8i) 2022-11-23T02:11:55.0819107Z 2022-11-23T02:11:55.0819253Z Running test_nn ... [2022-11-23 02:11:54.970785] 2022-11-23T02:11:55.0819567Z Executing ['/opt/conda/bin/python', '-bb', 'test_nn.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:11:54.971131] 2022-11-23T02:13:53.4069944Z 2022-11-23T02:13:53.4070396Z Expand the folded group to see the log file of test_nn 2022-11-23T02:13:53.4071366Z ##[group]PRINTING LOG FILE of test_nn (/var/lib/jenkins/workspace/test/test-reports/test_nn_t1m35bju) 2022-11-23T02:13:53.4073666Z Test results will be stored in test-reports/python-unittest/test_nn 2022-11-23T02:13:53.4073965Z 2022-11-23T02:13:53.4076372Z Running tests... 2022-11-23T02:13:53.4076968Z ---------------------------------------------------------------------- 2022-11-23T02:13:53.4077435Z test_add_relu (__main__.TestAddRelu) ... ok (0.002s) 2022-11-23T02:13:53.4077875Z test_add_relu_broadcasting (__main__.TestAddRelu) ... ok (0.001s) 2022-11-23T02:13:53.4078388Z test_constant_pad_nd (__main__.TestConstantPadNd) ... ok (0.001s) 2022-11-23T02:13:53.4078855Z test_preserves_memory_format (__main__.TestConstantPadNd) ... ok (0.001s) 2022-11-23T02:13:53.4079356Z test_pickle_softsign (__main__.TestFunctionalPickle) ... ok (0.001s) 2022-11-23T02:13:53.4079838Z test_fuse_module_eval_numerics (__main__.TestFusionEval) ... ok (0.286s) 2022-11-23T02:13:53.4080323Z test_fuse_conv_bn_requires_grad (__main__.TestFusionUtils) ... ok (0.002s) 2022-11-23T02:13:53.4081006Z test_fuse_linear_bn_requires_grad (__main__.TestFusionUtils) ... ok (0.002s) 2022-11-23T02:13:53.4082527Z test_global_and_local_hooks_order (__main__.TestModuleGlobalHooks) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py:1319: UserWarning: Using a non-full backward hook when the forward contains multiple autograd Nodes is deprecated and will be removed in future versions. This hook will be missing some grad_input. Please use register_full_backward_hook to get the documented behavior. 2022-11-23T02:13:53.4083728Z warnings.warn("Using a non-full backward hook when the forward contains multiple autograd Nodes " 2022-11-23T02:13:53.4084267Z ok (0.003s) 2022-11-23T02:13:53.4084719Z test_module_backward_global_hook_writeable (__main__.TestModuleGlobalHooks) ... ok (0.002s) 2022-11-23T02:13:53.4085253Z test_module_forward_forward_hook_removable (__main__.TestModuleGlobalHooks) 2022-11-23T02:13:53.4085798Z This test is to test when multiple forward hook functions can be registered ... ok (0.002s) 2022-11-23T02:13:53.4086340Z test_module_forward_preforward_hook_removable (__main__.TestModuleGlobalHooks) 2022-11-23T02:13:53.4087023Z This test is to test when multiple pre-forward hook functions can be ... ok (0.002s) 2022-11-23T02:13:53.4087581Z test_module_global_forward_preforward_hook_writeable (__main__.TestModuleGlobalHooks) ... ok (0.002s) 2022-11-23T02:13:53.4088139Z test_module_global_hook_invalid_outputs (__main__.TestModuleGlobalHooks) ... ok (0.002s) 2022-11-23T02:13:53.4088657Z test_module_global_hooks (__main__.TestModuleGlobalHooks) ... ok (0.011s) 2022-11-23T02:13:53.4089478Z test_AdaptiveAvgPool1d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4090139Z ok (0.015s) 2022-11-23T02:13:53.4090599Z test_AdaptiveAvgPool1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4091391Z test_AdaptiveAvgPool1d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4091800Z ok (0.010s) 2022-11-23T02:13:53.4092216Z test_AdaptiveAvgPool1d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4093114Z test_AdaptiveAvgPool1d_one_output (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4093827Z ok (0.008s) 2022-11-23T02:13:53.4094308Z test_AdaptiveAvgPool1d_one_output_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4095259Z test_AdaptiveAvgPool2d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4096005Z ok (0.009s) 2022-11-23T02:13:53.4096429Z test_AdaptiveAvgPool2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4097192Z test_AdaptiveAvgPool2d_single (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4097722Z ok (0.009s) 2022-11-23T02:13:53.4098382Z test_AdaptiveAvgPool2d_single_1x1output (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4099155Z ok (0.008s) 2022-11-23T02:13:53.4099577Z test_AdaptiveAvgPool2d_single_1x1output_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4100069Z test_AdaptiveAvgPool2d_single_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4100863Z test_AdaptiveAvgPool2d_tuple (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4101429Z ok (0.009s) 2022-11-23T02:13:53.4101818Z test_AdaptiveAvgPool2d_tuple_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4102748Z test_AdaptiveAvgPool2d_tuple_none (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4103420Z ok (0.009s) 2022-11-23T02:13:53.4103878Z test_AdaptiveAvgPool2d_tuple_none_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4104731Z test_AdaptiveAvgPool3d_last_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4105377Z ok (0.007s) 2022-11-23T02:13:53.4105849Z test_AdaptiveAvgPool3d_last_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4106704Z test_AdaptiveAvgPool3d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4107373Z ok (0.010s) 2022-11-23T02:13:53.4107809Z test_AdaptiveAvgPool3d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4108640Z test_AdaptiveAvgPool3d_single (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4109340Z ok (0.009s) 2022-11-23T02:13:53.4109766Z test_AdaptiveAvgPool3d_single_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4110602Z test_AdaptiveAvgPool3d_tuple (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4111270Z ok (0.009s) 2022-11-23T02:13:53.4111720Z test_AdaptiveAvgPool3d_tuple_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4112544Z test_AdaptiveAvgPool3d_tuple_none (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4113178Z ok (0.010s) 2022-11-23T02:13:53.4113604Z test_AdaptiveAvgPool3d_tuple_none_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4114482Z test_AdaptiveLogSoftmax (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4115130Z ok (0.080s) 2022-11-23T02:13:53.4115542Z test_AdaptiveLogSoftmax_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4116451Z test_AdaptiveMaxPool1d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4117094Z ok (0.009s) 2022-11-23T02:13:53.4117506Z test_AdaptiveMaxPool1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4118317Z test_AdaptiveMaxPool1d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4118946Z ok (0.009s) 2022-11-23T02:13:53.4119379Z test_AdaptiveMaxPool1d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4120240Z test_AdaptiveMaxPool2d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4120881Z ok (0.009s) 2022-11-23T02:13:53.4122556Z test_AdaptiveMaxPool2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4123080Z test_AdaptiveMaxPool2d_single (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4123559Z ok (0.009s) 2022-11-23T02:13:53.4123826Z test_AdaptiveMaxPool2d_single_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4124318Z test_AdaptiveMaxPool2d_tuple (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4124716Z ok (0.009s) 2022-11-23T02:13:53.4124976Z test_AdaptiveMaxPool2d_tuple_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4125482Z test_AdaptiveMaxPool2d_tuple_none (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4125865Z ok (0.009s) 2022-11-23T02:13:53.4126129Z test_AdaptiveMaxPool2d_tuple_none_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4126698Z test_AdaptiveMaxPool3d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4127156Z ok (0.010s) 2022-11-23T02:13:53.4127410Z test_AdaptiveMaxPool3d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4127915Z test_AdaptiveMaxPool3d_single (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4128305Z ok (0.009s) 2022-11-23T02:13:53.4128562Z test_AdaptiveMaxPool3d_single_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4129060Z test_AdaptiveMaxPool3d_single_nonatomic (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4129461Z ok (0.010s) 2022-11-23T02:13:53.4129732Z test_AdaptiveMaxPool3d_single_nonatomic_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4130300Z test_AdaptiveMaxPool3d_tuple (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4130680Z ok (0.009s) 2022-11-23T02:13:53.4130934Z test_AdaptiveMaxPool3d_tuple_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4131452Z test_AdaptiveMaxPool3d_tuple_nonatomic (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4131857Z ok (0.009s) 2022-11-23T02:13:53.4132118Z test_AdaptiveMaxPool3d_tuple_nonatomic_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4132668Z test_AdaptiveMaxPool3d_tuple_none (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4133067Z ok (0.009s) 2022-11-23T02:13:53.4133331Z test_AdaptiveMaxPool3d_tuple_none_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4133805Z test_AvgPool1d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4134178Z ok (0.009s) 2022-11-23T02:13:53.4134416Z test_AvgPool1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4134891Z test_AvgPool1d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4151552Z ok (0.010s) 2022-11-23T02:13:53.4152042Z test_AvgPool1d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4152550Z test_AvgPool1d_stride (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4152953Z ok (0.009s) 2022-11-23T02:13:53.4153205Z test_AvgPool1d_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4153689Z test_AvgPool1d_stride_pad (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4154071Z ok (0.009s) 2022-11-23T02:13:53.4154326Z test_AvgPool1d_stride_pad_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4154802Z test_AvgPool2d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4155176Z ok (0.009s) 2022-11-23T02:13:53.4155401Z test_AvgPool2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4155872Z test_AvgPool2d_divisor (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4156246Z ok (0.009s) 2022-11-23T02:13:53.4156479Z test_AvgPool2d_divisor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4156966Z test_AvgPool2d_divisor_stride (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4157350Z ok (0.009s) 2022-11-23T02:13:53.4157724Z test_AvgPool2d_divisor_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4158209Z test_AvgPool2d_divisor_stride_pad (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4158596Z ok (0.009s) 2022-11-23T02:13:53.4158857Z test_AvgPool2d_divisor_stride_pad_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4159190Z test_AvgPool2d_divisor_stride_pad_with_long_tensor (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4159577Z test_AvgPool2d_divisor_stride_pad_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4159919Z test_AvgPool2d_divisor_stride_with_long_tensor (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4160259Z test_AvgPool2d_divisor_stride_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4160585Z test_AvgPool2d_divisor_with_long_tensor (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4160904Z test_AvgPool2d_divisor_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4161406Z test_AvgPool2d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4161792Z ok (0.009s) 2022-11-23T02:13:53.4162048Z test_AvgPool2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4162523Z test_AvgPool2d_stride (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4162905Z ok (0.009s) 2022-11-23T02:13:53.4163152Z test_AvgPool2d_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4163617Z test_AvgPool2d_stride_pad (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4164002Z ok (0.009s) 2022-11-23T02:13:53.4164249Z test_AvgPool2d_stride_pad_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4164722Z test_AvgPool3d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4165083Z ok (0.009s) 2022-11-23T02:13:53.4165320Z test_AvgPool3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4165789Z test_AvgPool3d_divisor (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4166164Z ok (0.009s) 2022-11-23T02:13:53.4166397Z test_AvgPool3d_divisor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4166882Z test_AvgPool3d_divisor_stride (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4167268Z ok (0.009s) 2022-11-23T02:13:53.4167682Z test_AvgPool3d_divisor_stride1_pad0_gpu_input (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4168095Z ok (0.009s) 2022-11-23T02:13:53.4168368Z test_AvgPool3d_divisor_stride1_pad0_gpu_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4168719Z test_AvgPool3d_divisor_stride1_pad0_gpu_input_with_long_tensor (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4169090Z test_AvgPool3d_divisor_stride1_pad0_gpu_input_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4169445Z test_AvgPool3d_divisor_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4169931Z test_AvgPool3d_divisor_stride_pad (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4170367Z ok (0.009s) 2022-11-23T02:13:53.4170628Z test_AvgPool3d_divisor_stride_pad_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4171129Z test_AvgPool3d_divisor_stride_pad_gpu_fixedkw_output (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4171538Z ok (0.009s) 2022-11-23T02:13:53.4171822Z test_AvgPool3d_divisor_stride_pad_gpu_fixedkw_output_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4172193Z test_AvgPool3d_divisor_stride_pad_gpu_fixedkw_output_with_long_tensor (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4172570Z test_AvgPool3d_divisor_stride_pad_gpu_fixedkw_output_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4173121Z test_AvgPool3d_divisor_stride_pad_gpu_general_output (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4173531Z ok (0.009s) 2022-11-23T02:13:53.4173810Z test_AvgPool3d_divisor_stride_pad_gpu_general_output_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4174161Z test_AvgPool3d_divisor_stride_pad_gpu_general_output_with_long_tensor (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4174543Z test_AvgPool3d_divisor_stride_pad_gpu_general_output_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4175094Z test_AvgPool3d_divisor_stride_pad_gpu_input_nooverlap (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4175504Z ok (0.009s) 2022-11-23T02:13:53.4175775Z test_AvgPool3d_divisor_stride_pad_gpu_input_nooverlap_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4176143Z test_AvgPool3d_divisor_stride_pad_gpu_input_nooverlap_with_long_tensor (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4176530Z test_AvgPool3d_divisor_stride_pad_gpu_input_nooverlap_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4176890Z test_AvgPool3d_divisor_stride_pad_with_long_tensor (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4177227Z test_AvgPool3d_divisor_stride_pad_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4177565Z test_AvgPool3d_divisor_stride_with_long_tensor (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4177904Z test_AvgPool3d_divisor_stride_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4178219Z test_AvgPool3d_divisor_with_long_tensor (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4178575Z test_AvgPool3d_divisor_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4179218Z test_AvgPool3d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4179610Z ok (0.009s) 2022-11-23T02:13:53.4179852Z test_AvgPool3d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4180341Z test_AvgPool3d_stride (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4180771Z ok (0.009s) 2022-11-23T02:13:53.4181190Z test_AvgPool3d_stride1_pad0_gpu_input (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4181574Z ok (0.009s) 2022-11-23T02:13:53.4181848Z test_AvgPool3d_stride1_pad0_gpu_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4182187Z test_AvgPool3d_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4182669Z test_AvgPool3d_stride_pad (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4183042Z ok (0.009s) 2022-11-23T02:13:53.4183296Z test_AvgPool3d_stride_pad_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4183797Z test_AvgPool3d_stride_pad_gpu_fixedkw_output (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4184196Z ok (0.009s) 2022-11-23T02:13:53.4184456Z test_AvgPool3d_stride_pad_gpu_fixedkw_output_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4184975Z test_AvgPool3d_stride_pad_gpu_general_output (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4185373Z ok (0.009s) 2022-11-23T02:13:53.4185649Z test_AvgPool3d_stride_pad_gpu_general_output_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4186160Z test_AvgPool3d_stride_pad_gpu_input_nooverlap (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4186558Z ok (0.009s) 2022-11-23T02:13:53.4186827Z test_AvgPool3d_stride_pad_gpu_input_nooverlap_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4187127Z test_BCELoss (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4187394Z test_BCELoss_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4187714Z test_BCELoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4188028Z test_BCELoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4188329Z test_BCELoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4188618Z test_BCELoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4188967Z test_BCELoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4189419Z test_BCELoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4189751Z test_BCELoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4190057Z test_BCELoss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4190371Z test_BCELoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4190717Z test_BCELoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4191088Z test_BCELoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4191388Z test_BCELoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4191698Z test_BCELoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4192029Z test_BCELoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4192367Z test_BCELoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4192854Z test_BCELoss_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4193237Z ok (0.008s) 2022-11-23T02:13:53.4193469Z test_BCELoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4193956Z test_BCELoss_no_reduce_scalar (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4194342Z ok (0.005s) 2022-11-23T02:13:53.4194600Z test_BCELoss_no_reduce_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4194888Z test_BCELoss_scalar_weights (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4195199Z test_BCELoss_scalar_weights_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4195554Z test_BCELoss_scalar_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4195889Z test_BCELoss_scalar_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4196236Z test_BCELoss_scalar_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4196532Z test_BCELoss_weights (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4196830Z test_BCELoss_weights_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4197157Z test_BCELoss_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4197487Z test_BCELoss_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4197814Z test_BCELoss_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4198307Z test_BCELoss_weights_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4198684Z ok (0.008s) 2022-11-23T02:13:53.4198945Z test_BCELoss_weights_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4199474Z test_BCELoss_weights_no_reduce_scalar (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4199875Z ok (0.005s) 2022-11-23T02:13:53.4200128Z test_BCELoss_weights_no_reduce_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4200431Z test_BCEWithLogitsLoss (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4200740Z test_BCEWithLogitsLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4201071Z test_BCEWithLogitsLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4201412Z test_BCEWithLogitsLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4201946Z test_BCEWithLogitsLoss_legacy_enum (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4202739Z /opt/conda/lib/python3.7/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. 2022-11-23T02:13:53.4203085Z warnings.warn(warning.format(ret)) 2022-11-23T02:13:53.4203569Z /opt/conda/lib/python3.7/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. 2022-11-23T02:13:53.4203923Z warnings.warn(warning.format(ret)) 2022-11-23T02:13:53.4204124Z ok (0.006s) 2022-11-23T02:13:53.4204380Z test_BCEWithLogitsLoss_legacy_enum_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4204713Z test_BCEWithLogitsLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4205061Z test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4205428Z test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4205804Z test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4206134Z test_BCEWithLogitsLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4206477Z test_BCEWithLogitsLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4206840Z test_BCEWithLogitsLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4207210Z test_BCEWithLogitsLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4207543Z test_BCEWithLogitsLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4207879Z test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4208241Z test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4208607Z test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4209123Z test_BCEWithLogitsLoss_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4209517Z ok (0.006s) 2022-11-23T02:13:53.4209766Z test_BCEWithLogitsLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4210284Z test_BCEWithLogitsLoss_no_reduce_scalar (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4210681Z ok (0.003s) 2022-11-23T02:13:53.4210982Z test_BCEWithLogitsLoss_no_reduce_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4211302Z test_BCEWithLogitsLoss_scalar_weights (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4211641Z test_BCEWithLogitsLoss_scalar_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4212016Z test_BCEWithLogitsLoss_scalar_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4212378Z test_BCEWithLogitsLoss_scalar_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4212735Z test_BCEWithLogitsLoss_weights (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4213058Z test_BCEWithLogitsLoss_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4213416Z test_BCEWithLogitsLoss_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4213762Z test_BCEWithLogitsLoss_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4214265Z test_BatchNorm1d_3d_input (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4214650Z ok (0.022s) 2022-11-23T02:13:53.4214902Z test_BatchNorm1d_3d_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4215379Z test_BatchNorm1d_3d_input_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4215768Z ok (0.018s) 2022-11-23T02:13:53.4216022Z test_BatchNorm1d_3d_input_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4216516Z test_BatchNorm1d_3d_input_not_affine (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4216889Z ok (0.012s) 2022-11-23T02:13:53.4217148Z test_BatchNorm1d_3d_input_not_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4217654Z test_BatchNorm1d_3d_input_not_affine_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4218051Z ok (0.010s) 2022-11-23T02:13:53.4218301Z test_BatchNorm1d_3d_input_not_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4218919Z test_BatchNorm1d_affine (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4219308Z ok (0.023s) 2022-11-23T02:13:53.4219559Z test_BatchNorm1d_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4220031Z test_BatchNorm1d_affine_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4220421Z ok (0.018s) 2022-11-23T02:13:53.4220686Z test_BatchNorm1d_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4221244Z test_BatchNorm1d_affine_simple_average (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4221633Z ok (0.024s) 2022-11-23T02:13:53.4221903Z test_BatchNorm1d_affine_simple_average_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4222423Z test_BatchNorm1d_affine_simple_average_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4222830Z ok (0.018s) 2022-11-23T02:13:53.4223091Z test_BatchNorm1d_affine_simple_average_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4223634Z test_BatchNorm1d_not_affine (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4224018Z ok (0.014s) 2022-11-23T02:13:53.4224261Z test_BatchNorm1d_not_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4224759Z test_BatchNorm1d_not_affine_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4225140Z ok (0.010s) 2022-11-23T02:13:53.4225400Z test_BatchNorm1d_not_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4225888Z test_BatchNorm1d_not_tracking_stats (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4226283Z ok (0.024s) 2022-11-23T02:13:53.4226543Z test_BatchNorm1d_not_tracking_stats_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4227044Z test_BatchNorm1d_not_tracking_stats_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4227439Z ok (0.024s) 2022-11-23T02:13:53.4227693Z test_BatchNorm1d_not_tracking_stats_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4228190Z test_BatchNorm1d_zero_batch (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4228573Z ok (0.007s) 2022-11-23T02:13:53.4228812Z test_BatchNorm1d_zero_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4229394Z test_BatchNorm1d_zero_batch_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4229787Z ok (0.007s) 2022-11-23T02:13:53.4230048Z test_BatchNorm1d_zero_batch_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4230640Z test_BatchNorm2d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4231019Z ok (0.024s) 2022-11-23T02:13:53.4231442Z test_BatchNorm2d_2d_simple_average (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4231835Z ok (0.025s) 2022-11-23T02:13:53.4232126Z test_BatchNorm2d_2d_simple_average_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4232639Z test_BatchNorm2d_2d_simple_average_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4233037Z ok (0.020s) 2022-11-23T02:13:53.4233305Z test_BatchNorm2d_2d_simple_average_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4233627Z test_BatchNorm2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4234139Z test_BatchNorm2d_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4234519Z ok (0.020s) 2022-11-23T02:13:53.4234767Z test_BatchNorm2d_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4235238Z test_BatchNorm2d_momentum (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4235619Z ok (0.024s) 2022-11-23T02:13:53.4235868Z test_BatchNorm2d_momentum_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4236393Z test_BatchNorm2d_momentum_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4236842Z ok (0.020s) 2022-11-23T02:13:53.4237096Z test_BatchNorm2d_momentum_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4237591Z test_BatchNorm2d_not_affine (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4237971Z ok (0.014s) 2022-11-23T02:13:53.4238211Z test_BatchNorm2d_not_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4238698Z test_BatchNorm2d_not_affine_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4239088Z ok (0.011s) 2022-11-23T02:13:53.4239334Z test_BatchNorm2d_not_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4239835Z test_BatchNorm2d_not_tracking_stats (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4240225Z ok (0.024s) 2022-11-23T02:13:53.4240488Z test_BatchNorm2d_not_tracking_stats_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4240983Z test_BatchNorm2d_not_tracking_stats_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4241381Z ok (0.024s) 2022-11-23T02:13:53.4241645Z test_BatchNorm2d_not_tracking_stats_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4242150Z test_BatchNorm2d_zero_batch (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4242574Z ok (0.007s) 2022-11-23T02:13:53.4242818Z test_BatchNorm2d_zero_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4243306Z test_BatchNorm2d_zero_batch_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4243699Z ok (0.007s) 2022-11-23T02:13:53.4243944Z test_BatchNorm2d_zero_batch_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4244473Z test_BatchNorm3d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4244846Z ok (0.026s) 2022-11-23T02:13:53.4245262Z test_BatchNorm3d_3d_simple_average (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4245637Z ok (0.029s) 2022-11-23T02:13:53.4245897Z test_BatchNorm3d_3d_simple_average_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4246402Z test_BatchNorm3d_3d_simple_average_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4246798Z ok (0.024s) 2022-11-23T02:13:53.4247049Z test_BatchNorm3d_3d_simple_average_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4247387Z test_BatchNorm3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4247861Z test_BatchNorm3d_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4248245Z ok (0.024s) 2022-11-23T02:13:53.4248479Z test_BatchNorm3d_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4248964Z test_BatchNorm3d_momentum (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4249349Z ok (0.029s) 2022-11-23T02:13:53.4249602Z test_BatchNorm3d_momentum_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4250083Z test_BatchNorm3d_momentum_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4250473Z ok (0.024s) 2022-11-23T02:13:53.4250729Z test_BatchNorm3d_momentum_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4251219Z test_BatchNorm3d_not_affine (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4251590Z ok (0.016s) 2022-11-23T02:13:53.4251844Z test_BatchNorm3d_not_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4252343Z test_BatchNorm3d_not_affine_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4252733Z ok (0.012s) 2022-11-23T02:13:53.4253010Z test_BatchNorm3d_not_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4253516Z test_BatchNorm3d_not_tracking_stats (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4253909Z ok (0.029s) 2022-11-23T02:13:53.4254158Z test_BatchNorm3d_not_tracking_stats_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4254665Z test_BatchNorm3d_not_tracking_stats_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4255091Z ok (0.029s) 2022-11-23T02:13:53.4255361Z test_BatchNorm3d_not_tracking_stats_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4255848Z test_BatchNorm3d_zero_batch (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4256230Z ok (0.008s) 2022-11-23T02:13:53.4256481Z test_BatchNorm3d_zero_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4256973Z test_BatchNorm3d_zero_batch_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4257347Z ok (0.008s) 2022-11-23T02:13:53.4257602Z test_BatchNorm3d_zero_batch_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4258078Z test_CELU (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4258442Z ok (0.011s) 2022-11-23T02:13:53.4258661Z test_CELU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4259241Z test_CELU_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4259621Z ok (0.006s) 2022-11-23T02:13:53.4259872Z test_CELU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4260337Z test_CELU_scalar (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4260720Z ok (0.007s) 2022-11-23T02:13:53.4260967Z test_CELU_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4261276Z test_CTCLoss_2d_int_target_lengths_intlists (__main__.TestNN) ... ok (0.017s) 2022-11-23T02:13:53.4261605Z test_CTCLoss_2d_int_target_lengths_intlists_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4261977Z test_CTCLoss_2d_int_target_lengths_intlists_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4262328Z test_CTCLoss_2d_int_target_lengths_intlists_sum_reduction (__main__.TestNN) ... ok (0.016s) 2022-11-23T02:13:53.4262682Z test_CTCLoss_2d_int_target_lengths_intlists_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4263082Z test_CTCLoss_2d_int_target_lengths_intlists_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4263495Z test_CTCLoss_2d_int_target_lengths_tensors (__main__.TestNN) ... ok (0.016s) 2022-11-23T02:13:53.4263840Z test_CTCLoss_2d_int_target_lengths_tensors_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4264199Z test_CTCLoss_2d_int_target_lengths_tensors_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4264549Z test_CTCLoss_2d_int_target_lengths_tensors_sum_reduction (__main__.TestNN) ... ok (0.015s) 2022-11-23T02:13:53.4264921Z test_CTCLoss_2d_int_target_lengths_tensors_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4265369Z test_CTCLoss_2d_int_target_lengths_tensors_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4265692Z test_CTCLoss_2d_lengths_tensors (__main__.TestNN) ... ok (0.016s) 2022-11-23T02:13:53.4266015Z test_CTCLoss_2d_lengths_tensors_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4266368Z test_CTCLoss_2d_lengths_tensors_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4266694Z test_CTCLoss_2d_lengths_tensors_sum_reduction (__main__.TestNN) ... ok (0.015s) 2022-11-23T02:13:53.4267025Z test_CTCLoss_2d_lengths_tensors_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4267404Z test_CTCLoss_2d_lengths_tensors_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4267754Z test_CTCLoss_critical_target_len (__main__.TestNN) ... skip: CUDA not available (0.001s) 2022-11-23T02:13:53.4268041Z test_CTCLoss_lengthchecks_cpu (__main__.TestNN) ... ok (0.006s) 2022-11-23T02:13:53.4268345Z test_CTCLoss_lengthchecks_cuda (__main__.TestNN) ... skip: CUDA not available (0.001s) 2022-11-23T02:13:53.4268636Z test_CTCLoss_lengths_intlists (__main__.TestNN) ... ok (0.015s) 2022-11-23T02:13:53.4268949Z test_CTCLoss_lengths_intlists_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4269373Z test_CTCLoss_lengths_intlists_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4269701Z test_CTCLoss_lengths_intlists_sum_reduction (__main__.TestNN) ... ok (0.016s) 2022-11-23T02:13:53.4270045Z test_CTCLoss_lengths_intlists_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4270426Z test_CTCLoss_lengths_intlists_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4270733Z test_CTCLoss_lengths_tensors (__main__.TestNN) ... ok (0.016s) 2022-11-23T02:13:53.4271046Z test_CTCLoss_lengths_tensors_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4271400Z test_CTCLoss_lengths_tensors_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4271715Z test_CTCLoss_lengths_tensors_sum_reduction (__main__.TestNN) ... ok (0.015s) 2022-11-23T02:13:53.4272057Z test_CTCLoss_lengths_tensors_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4272435Z test_CTCLoss_lengths_tensors_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4272775Z test_CTCLoss_long_targets (__main__.TestNN) ... skip: CUDA not available (0.001s) 2022-11-23T02:13:53.4273045Z test_CTCLoss_typechecks (__main__.TestNN) ... ok (0.006s) 2022-11-23T02:13:53.4273332Z test_CTCLoss_zero_infinity (__main__.TestNN) ... skip: CUDA not available (0.001s) 2022-11-23T02:13:53.4273816Z test_ConstantPad1d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4274202Z ok (0.009s) 2022-11-23T02:13:53.4274645Z test_ConstantPad1d_batch (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4275034Z ok (0.009s) 2022-11-23T02:13:53.4275290Z test_ConstantPad1d_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4275781Z test_ConstantPad1d_complex (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4276201Z ok (0.016s) 2022-11-23T02:13:53.4276454Z test_ConstantPad1d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4276783Z test_ConstantPad1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4277244Z test_ConstantPad2d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4277622Z ok (0.009s) 2022-11-23T02:13:53.4278032Z test_ConstantPad2d_complex (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4278415Z ok (0.017s) 2022-11-23T02:13:53.4278654Z test_ConstantPad2d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4278987Z test_ConstantPad2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4279477Z test_ConstantPad2d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4279867Z ok (0.009s) 2022-11-23T02:13:53.4280111Z test_ConstantPad2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4280602Z test_ConstantPad3d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4280978Z ok (0.010s) 2022-11-23T02:13:53.4281389Z test_ConstantPad3d_complex (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4281759Z ok (0.019s) 2022-11-23T02:13:53.4282015Z test_ConstantPad3d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4282341Z test_ConstantPad3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4282831Z test_ConstantPad3d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4283201Z ok (0.010s) 2022-11-23T02:13:53.4283458Z test_ConstantPad3d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4283935Z test_Conv1d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4284302Z ok (0.026s) 2022-11-23T02:13:53.4284738Z test_Conv1d_circular_stride2_pad2 (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4285132Z ok (0.030s) 2022-11-23T02:13:53.4285391Z test_Conv1d_circular_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4285698Z test_Conv1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4286163Z test_Conv1d_dilated (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4286572Z ok (0.026s) 2022-11-23T02:13:53.4286815Z test_Conv1d_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4287272Z test_Conv1d_groups (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4287646Z ok (0.066s) 2022-11-23T02:13:53.4287887Z test_Conv1d_groups_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4288458Z test_Conv1d_pad1 (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4288831Z ok (0.025s) 2022-11-23T02:13:53.4289070Z test_Conv1d_pad1_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4289544Z test_Conv1d_pad1size1 (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4289922Z ok (0.022s) 2022-11-23T02:13:53.4290156Z test_Conv1d_pad1size1_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4290625Z test_Conv1d_pad2 (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4290999Z ok (0.025s) 2022-11-23T02:13:53.4291235Z test_Conv1d_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4291699Z test_Conv1d_pad2size1 (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4292076Z ok (0.022s) 2022-11-23T02:13:53.4292320Z test_Conv1d_pad2size1_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4292794Z test_Conv1d_pad_same (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4293154Z ok (0.025s) 2022-11-23T02:13:53.4293549Z test_Conv1d_pad_same2 (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4294486Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/conv.py:310: UserWarning: Using padding='same' with even kernel lengths and odd dilation may require a zero-padded copy of the input be created (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Convolution.cpp:996.) 2022-11-23T02:13:53.4294987Z self.padding, self.dilation, self.groups) 2022-11-23T02:13:53.4295183Z ok (0.027s) 2022-11-23T02:13:53.4295469Z test_Conv1d_pad_same2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4295788Z test_Conv1d_pad_same_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4296264Z test_Conv1d_pad_same_dilated (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4296640Z ok (0.027s) 2022-11-23T02:13:53.4296892Z test_Conv1d_pad_same_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4297369Z test_Conv1d_pad_valid (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4297813Z ok (0.024s) 2022-11-23T02:13:53.4298055Z test_Conv1d_pad_valid_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4298544Z test_Conv1d_reflect_stride2_pad2 (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4299033Z ok (0.028s) 2022-11-23T02:13:53.4299282Z test_Conv1d_reflect_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4299786Z test_Conv1d_replicate_stride2_pad2 (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4300182Z ok (0.028s) 2022-11-23T02:13:53.4300447Z test_Conv1d_replicate_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4300923Z test_Conv1d_stride (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4301305Z ok (0.024s) 2022-11-23T02:13:53.4301551Z test_Conv1d_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4302021Z test_Conv1d_zero_batch (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4302386Z ok (0.014s) 2022-11-23T02:13:53.4302634Z test_Conv1d_zero_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4303119Z test_Conv1d_zeros_stride2_pad2 (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4303506Z ok (0.022s) 2022-11-23T02:13:53.4303746Z test_Conv1d_zeros_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4304219Z test_Conv2d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4304589Z ok (0.024s) 2022-11-23T02:13:53.4304998Z test_Conv2d_circular_stride2_pad2 (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4305383Z ok (0.037s) 2022-11-23T02:13:53.4305643Z test_Conv2d_circular_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4306021Z test_Conv2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4306496Z test_Conv2d_depthwise (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4306864Z ok (0.038s) 2022-11-23T02:13:53.4307117Z test_Conv2d_depthwise_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4307607Z test_Conv2d_depthwise_dilated (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4308046Z ok (0.045s) 2022-11-23T02:13:53.4308291Z test_Conv2d_depthwise_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4308786Z test_Conv2d_depthwise_padded (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4309256Z ok (0.042s) 2022-11-23T02:13:53.4309511Z test_Conv2d_depthwise_padded_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4310005Z test_Conv2d_depthwise_strided (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4310402Z ok (0.037s) 2022-11-23T02:13:53.4310662Z test_Conv2d_depthwise_strided_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4311155Z test_Conv2d_depthwise_with_multiplier (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4311550Z ok (0.041s) 2022-11-23T02:13:53.4311818Z test_Conv2d_depthwise_with_multiplier_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4312314Z test_Conv2d_dilated (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4312678Z ok (0.027s) 2022-11-23T02:13:53.4312921Z test_Conv2d_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4313224Z test_Conv2d_dilated_with_long_tensor (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4313547Z test_Conv2d_dilated_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4314022Z test_Conv2d_groups (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4314401Z ok (0.032s) 2022-11-23T02:13:53.4314645Z test_Conv2d_groups_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4315124Z test_Conv2d_groups_thnn (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4315493Z ok (0.032s) 2022-11-23T02:13:53.4315743Z test_Conv2d_groups_thnn_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4316054Z test_Conv2d_groups_thnn_with_long_tensor (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4316367Z test_Conv2d_groups_thnn_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4316718Z test_Conv2d_groups_with_long_tensor (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4317041Z test_Conv2d_groups_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4317524Z test_Conv2d_no_bias (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4317886Z ok (0.019s) 2022-11-23T02:13:53.4318125Z test_Conv2d_no_bias_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4318420Z test_Conv2d_no_bias_with_long_tensor (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4318792Z test_Conv2d_no_bias_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4319264Z test_Conv2d_pad_same (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4319638Z ok (0.026s) 2022-11-23T02:13:53.4319883Z test_Conv2d_pad_same_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4320360Z test_Conv2d_pad_same_dilated (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4320731Z ok (0.028s) 2022-11-23T02:13:53.4320990Z test_Conv2d_pad_same_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4321473Z test_Conv2d_pad_valid (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4321851Z ok (0.024s) 2022-11-23T02:13:53.4322083Z test_Conv2d_pad_valid_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4322556Z test_Conv2d_padding (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4322932Z ok (0.025s) 2022-11-23T02:13:53.4323160Z test_Conv2d_padding_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4323459Z test_Conv2d_padding_with_long_tensor (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4323786Z test_Conv2d_padding_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4324282Z test_Conv2d_reflect_stride2_pad2 (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4324656Z ok (0.026s) 2022-11-23T02:13:53.4324913Z test_Conv2d_reflect_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4325408Z test_Conv2d_replicate_stride2_pad2 (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4325797Z ok (0.026s) 2022-11-23T02:13:53.4326043Z test_Conv2d_replicate_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4326525Z test_Conv2d_strided (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4326901Z ok (0.025s) 2022-11-23T02:13:53.4327182Z test_Conv2d_strided_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4327473Z test_Conv2d_strided_with_long_tensor (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4327790Z test_Conv2d_strided_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4328093Z test_Conv2d_with_long_tensor (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4328381Z test_Conv2d_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4328862Z test_Conv2d_zero_batch (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4329276Z ok (0.014s) 2022-11-23T02:13:53.4329524Z test_Conv2d_zero_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4329819Z test_Conv2d_zero_batch_with_long_tensor (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4330146Z test_Conv2d_zero_batch_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4330640Z test_Conv2d_zeros_stride2_pad2 (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4331022Z ok (0.023s) 2022-11-23T02:13:53.4331264Z test_Conv2d_zeros_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4331740Z test_Conv3d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4332105Z ok (0.025s) 2022-11-23T02:13:53.4332503Z test_Conv3d_1x1x1_no_bias (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4332867Z ok (0.015s) 2022-11-23T02:13:53.4333109Z test_Conv3d_1x1x1_no_bias_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4333412Z test_Conv3d_1x1x1_no_bias_with_long_tensor (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4333720Z test_Conv3d_1x1x1_no_bias_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4334223Z test_Conv3d_circular_stride2_pad2 (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4334608Z ok (0.050s) 2022-11-23T02:13:53.4334870Z test_Conv3d_circular_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4335180Z test_Conv3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4335644Z test_Conv3d_dilated (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4336020Z ok (0.023s) 2022-11-23T02:13:53.4336263Z test_Conv3d_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4336732Z test_Conv3d_dilated_strided (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4337119Z ok (0.022s) 2022-11-23T02:13:53.4337369Z test_Conv3d_dilated_strided_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4337878Z test_Conv3d_groups (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4338243Z ok (0.025s) 2022-11-23T02:13:53.4338485Z test_Conv3d_groups_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4338939Z test_Conv3d_groups_with_long_tensor (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4339247Z test_Conv3d_groups_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4339789Z test_Conv3d_no_bias (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4340164Z ok (0.019s) 2022-11-23T02:13:53.4340409Z test_Conv3d_no_bias_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4340695Z test_Conv3d_no_bias_with_long_tensor (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4341013Z test_Conv3d_no_bias_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4341498Z test_Conv3d_pad_same (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4341876Z ok (0.035s) 2022-11-23T02:13:53.4342109Z test_Conv3d_pad_same_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4342591Z test_Conv3d_pad_same_dilated (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4342980Z ok (0.030s) 2022-11-23T02:13:53.4343234Z test_Conv3d_pad_same_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4343705Z test_Conv3d_pad_valid (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4344080Z ok (0.031s) 2022-11-23T02:13:53.4344322Z test_Conv3d_pad_valid_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4344807Z test_Conv3d_replicate_stride2_pad2 (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4345185Z ok (0.034s) 2022-11-23T02:13:53.4345448Z test_Conv3d_replicate_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4345928Z test_Conv3d_stride (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4346303Z ok (0.030s) 2022-11-23T02:13:53.4346530Z test_Conv3d_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4347003Z test_Conv3d_stride_padding (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4347383Z ok (0.030s) 2022-11-23T02:13:53.4347620Z test_Conv3d_stride_padding_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4347934Z test_Conv3d_stride_padding_with_long_tensor (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4348304Z test_Conv3d_stride_padding_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4348624Z test_Conv3d_stride_with_long_tensor (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4348927Z test_Conv3d_stride_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4349312Z test_Conv3d_with_long_tensor (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4349621Z test_Conv3d_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4350109Z test_Conv3d_zero_batch (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4350519Z ok (0.015s) 2022-11-23T02:13:53.4350767Z test_Conv3d_zero_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4351077Z test_Conv3d_zero_batch_with_long_tensor (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4351393Z test_Conv3d_zero_batch_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4351901Z test_Conv3d_zeros_stride2_pad2 (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4352285Z ok (0.030s) 2022-11-23T02:13:53.4352540Z test_Conv3d_zeros_stride2_pad2_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4353017Z test_ConvTranspose1d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4353397Z ok (0.022s) 2022-11-23T02:13:53.4353644Z test_ConvTranspose1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4354131Z test_ConvTranspose1d_dilated (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4354506Z ok (0.022s) 2022-11-23T02:13:53.4354762Z test_ConvTranspose1d_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4355262Z test_ConvTranspose1d_groups (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4355652Z ok (0.032s) 2022-11-23T02:13:53.4355896Z test_ConvTranspose1d_groups_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4356392Z test_ConvTranspose1d_no_bias (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4356777Z ok (0.018s) 2022-11-23T02:13:53.4357030Z test_ConvTranspose1d_no_bias_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4357499Z test_ConvTranspose2d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4357875Z ok (0.025s) 2022-11-23T02:13:53.4358122Z test_ConvTranspose2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4358637Z test_ConvTranspose2d_dilated (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4359009Z ok (0.020s) 2022-11-23T02:13:53.4359264Z test_ConvTranspose2d_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4359588Z test_ConvTranspose2d_dilated_with_long_tensor (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4359922Z test_ConvTranspose2d_dilated_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4360435Z test_ConvTranspose2d_groups (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4360855Z ok (0.026s) 2022-11-23T02:13:53.4361114Z test_ConvTranspose2d_groups_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4361423Z test_ConvTranspose2d_groups_with_long_tensor (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4361769Z test_ConvTranspose2d_groups_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4362282Z test_ConvTranspose2d_no_bias (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4362666Z ok (0.020s) 2022-11-23T02:13:53.4362907Z test_ConvTranspose2d_no_bias_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4363232Z test_ConvTranspose2d_no_bias_with_long_tensor (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4363574Z test_ConvTranspose2d_no_bias_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4363898Z test_ConvTranspose2d_with_long_tensor (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4364214Z test_ConvTranspose2d_with_long_tensor_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4364709Z test_ConvTranspose3d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4365087Z ok (0.023s) 2022-11-23T02:13:53.4365320Z test_ConvTranspose3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4365803Z test_ConvTranspose3d_dilated (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4366191Z ok (0.022s) 2022-11-23T02:13:53.4366445Z test_ConvTranspose3d_dilated_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4366739Z test_CosineEmbeddingLoss (__main__.TestNN) ... ok (0.021s) 2022-11-23T02:13:53.4367056Z test_CosineEmbeddingLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4367408Z test_CosineEmbeddingLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4367761Z test_CosineEmbeddingLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4368063Z test_CosineEmbeddingLoss_margin (__main__.TestNN) ... ok (0.020s) 2022-11-23T02:13:53.4368392Z test_CosineEmbeddingLoss_margin_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4368763Z test_CosineEmbeddingLoss_margin_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4369114Z test_CosineEmbeddingLoss_margin_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4369489Z test_CosineEmbeddingLoss_margin_sum_reduction (__main__.TestNN) ... ok (0.020s) 2022-11-23T02:13:53.4369852Z test_CosineEmbeddingLoss_margin_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4370243Z test_CosineEmbeddingLoss_margin_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4370622Z test_CosineEmbeddingLoss_margin_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4370968Z test_CosineEmbeddingLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.016s) 2022-11-23T02:13:53.4371316Z test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4371732Z test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4372101Z test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4372448Z test_CosineEmbeddingLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.015s) 2022-11-23T02:13:53.4372799Z test_CosineEmbeddingLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4373178Z test_CosineEmbeddingLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4373545Z test_CosineEmbeddingLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4373883Z test_CosineEmbeddingLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.016s) 2022-11-23T02:13:53.4374229Z test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4374606Z test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4374971Z test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4375306Z test_CosineEmbeddingLoss_sum_reduction (__main__.TestNN) ... ok (0.020s) 2022-11-23T02:13:53.4375651Z test_CosineEmbeddingLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4376016Z test_CosineEmbeddingLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4376395Z test_CosineEmbeddingLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4376709Z test_CrossEntropyLoss (__main__.TestNN) ... ok (0.006s) 2022-11-23T02:13:53.4376975Z test_CrossEntropyLoss_2d (__main__.TestNN) ... ok (0.007s) 2022-11-23T02:13:53.4377271Z test_CrossEntropyLoss_2d_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4377616Z test_CrossEntropyLoss_2d_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4377958Z test_CrossEntropyLoss_2d_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4378258Z test_CrossEntropyLoss_2d_ignore_index (__main__.TestNN) ... ok (0.007s) 2022-11-23T02:13:53.4378589Z test_CrossEntropyLoss_2d_ignore_index_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4379088Z test_CrossEntropyLoss_2d_ignore_index_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4379459Z test_CrossEntropyLoss_2d_ignore_index_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4379791Z test_CrossEntropyLoss_2d_indices_target_smoothing (__main__.TestNN) ... ok (0.009s) 2022-11-23T02:13:53.4380151Z test_CrossEntropyLoss_2d_indices_target_smoothing_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4380594Z test_CrossEntropyLoss_2d_indices_target_smoothing_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4380987Z test_CrossEntropyLoss_2d_indices_target_smoothing_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4381338Z test_CrossEntropyLoss_2d_indices_target_smoothing_ignore_index (__main__.TestNN) ... ok (0.009s) 2022-11-23T02:13:53.4381734Z test_CrossEntropyLoss_2d_indices_target_smoothing_ignore_index_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4382157Z test_CrossEntropyLoss_2d_indices_target_smoothing_ignore_index_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4382610Z test_CrossEntropyLoss_2d_indices_target_smoothing_ignore_index_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4382974Z test_CrossEntropyLoss_2d_indices_target_smoothing_sum_reduction (__main__.TestNN) ... ok (0.008s) 2022-11-23T02:13:53.4383361Z test_CrossEntropyLoss_2d_indices_target_smoothing_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4383779Z test_CrossEntropyLoss_2d_indices_target_smoothing_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4384191Z test_CrossEntropyLoss_2d_indices_target_smoothing_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4384551Z test_CrossEntropyLoss_2d_indices_target_smoothing_weight (__main__.TestNN) ... ok (0.009s) 2022-11-23T02:13:53.4384925Z test_CrossEntropyLoss_2d_indices_target_smoothing_weight_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4385339Z test_CrossEntropyLoss_2d_indices_target_smoothing_weight_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4385747Z test_CrossEntropyLoss_2d_indices_target_smoothing_weight_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4386075Z test_CrossEntropyLoss_2d_prob_target (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4386412Z test_CrossEntropyLoss_2d_prob_target_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4386777Z test_CrossEntropyLoss_2d_prob_target_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4387140Z test_CrossEntropyLoss_2d_prob_target_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4387463Z test_CrossEntropyLoss_2d_prob_target_smoothing (__main__.TestNN) ... ok (0.006s) 2022-11-23T02:13:53.4387818Z test_CrossEntropyLoss_2d_prob_target_smoothing_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4388208Z test_CrossEntropyLoss_2d_prob_target_smoothing_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4388579Z test_CrossEntropyLoss_2d_prob_target_smoothing_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4388941Z test_CrossEntropyLoss_2d_prob_target_smoothing_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4389419Z test_CrossEntropyLoss_2d_prob_target_smoothing_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4389838Z test_CrossEntropyLoss_2d_prob_target_smoothing_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4390237Z test_CrossEntropyLoss_2d_prob_target_smoothing_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4390607Z test_CrossEntropyLoss_2d_prob_target_smoothing_weight (__main__.TestNN) ... ok (0.006s) 2022-11-23T02:13:53.4390976Z test_CrossEntropyLoss_2d_prob_target_smoothing_weight_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4391417Z test_CrossEntropyLoss_2d_prob_target_smoothing_weight_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4391811Z test_CrossEntropyLoss_2d_prob_target_smoothing_weight_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4392173Z test_CrossEntropyLoss_2d_prob_target_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4392537Z test_CrossEntropyLoss_2d_prob_target_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4392928Z test_CrossEntropyLoss_2d_prob_target_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4393365Z test_CrossEntropyLoss_2d_prob_target_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4393710Z test_CrossEntropyLoss_2d_prob_target_weights (__main__.TestNN) ... ok (0.006s) 2022-11-23T02:13:53.4394064Z test_CrossEntropyLoss_2d_prob_target_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4394452Z test_CrossEntropyLoss_2d_prob_target_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4394823Z test_CrossEntropyLoss_2d_prob_target_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4395176Z test_CrossEntropyLoss_2d_prob_target_weights_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4395556Z test_CrossEntropyLoss_2d_prob_target_weights_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4395967Z test_CrossEntropyLoss_2d_prob_target_weights_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4396362Z test_CrossEntropyLoss_2d_prob_target_weights_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4396707Z test_CrossEntropyLoss_2d_sum_reduction (__main__.TestNN) ... ok (0.007s) 2022-11-23T02:13:53.4397044Z test_CrossEntropyLoss_2d_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4397404Z test_CrossEntropyLoss_2d_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4397771Z test_CrossEntropyLoss_2d_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4398089Z test_CrossEntropyLoss_2d_weights (__main__.TestNN) ... ok (0.007s) 2022-11-23T02:13:53.4398416Z test_CrossEntropyLoss_2d_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4398765Z test_CrossEntropyLoss_2d_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4399123Z test_CrossEntropyLoss_2d_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4399457Z test_CrossEntropyLoss_3d_indices_target_smoothing (__main__.TestNN) ... ok (0.010s) 2022-11-23T02:13:53.4399817Z test_CrossEntropyLoss_3d_indices_target_smoothing_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4400200Z test_CrossEntropyLoss_3d_indices_target_smoothing_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4400591Z test_CrossEntropyLoss_3d_indices_target_smoothing_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4400954Z test_CrossEntropyLoss_3d_indices_target_smoothing_ignore_index (__main__.TestNN) ... ok (0.010s) 2022-11-23T02:13:53.4401336Z test_CrossEntropyLoss_3d_indices_target_smoothing_ignore_index_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4401775Z test_CrossEntropyLoss_3d_indices_target_smoothing_ignore_index_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4402191Z test_CrossEntropyLoss_3d_indices_target_smoothing_ignore_index_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4402569Z test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction (__main__.TestNN) ... ok (0.009s) 2022-11-23T02:13:53.4402954Z test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4403361Z test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4403808Z test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4404203Z test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_ignore_index (__main__.TestNN) ... ok (0.009s) 2022-11-23T02:13:53.4404612Z test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_ignore_index_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4405045Z test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_ignore_index_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4405484Z test_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_ignore_index_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4405844Z test_CrossEntropyLoss_3d_prob_target (__main__.TestNN) ... ok (0.007s) 2022-11-23T02:13:53.4406182Z test_CrossEntropyLoss_3d_prob_target_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4406540Z test_CrossEntropyLoss_3d_prob_target_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4406905Z test_CrossEntropyLoss_3d_prob_target_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4407245Z test_CrossEntropyLoss_3d_prob_target_smoothing (__main__.TestNN) ... ok (0.008s) 2022-11-23T02:13:53.4407587Z test_CrossEntropyLoss_3d_prob_target_smoothing_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4407975Z test_CrossEntropyLoss_3d_prob_target_smoothing_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4408361Z test_CrossEntropyLoss_3d_prob_target_smoothing_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4408725Z test_CrossEntropyLoss_3d_prob_target_smoothing_sum_reduction (__main__.TestNN) ... ok (0.007s) 2022-11-23T02:13:53.4409097Z test_CrossEntropyLoss_3d_prob_target_smoothing_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4409517Z test_CrossEntropyLoss_3d_prob_target_smoothing_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4409927Z test_CrossEntropyLoss_3d_prob_target_smoothing_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4410291Z test_CrossEntropyLoss_3d_prob_target_sum_reduction (__main__.TestNN) ... ok (0.007s) 2022-11-23T02:13:53.4410641Z test_CrossEntropyLoss_3d_prob_target_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4411038Z test_CrossEntropyLoss_3d_prob_target_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4411429Z test_CrossEntropyLoss_3d_prob_target_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4411778Z test_CrossEntropyLoss_3d_prob_target_weights (__main__.TestNN) ... ok (0.008s) 2022-11-23T02:13:53.4412117Z test_CrossEntropyLoss_3d_prob_target_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4412545Z test_CrossEntropyLoss_3d_prob_target_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4412926Z test_CrossEntropyLoss_3d_prob_target_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4413287Z test_CrossEntropyLoss_3d_prob_target_weights_sum_reduction (__main__.TestNN) ... ok (0.007s) 2022-11-23T02:13:53.4413653Z test_CrossEntropyLoss_3d_prob_target_weights_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4414062Z test_CrossEntropyLoss_3d_prob_target_weights_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4414502Z test_CrossEntropyLoss_3d_prob_target_weights_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4414844Z test_CrossEntropyLoss_4d_prob_target (__main__.TestNN) ... ok (0.008s) 2022-11-23T02:13:53.4415167Z test_CrossEntropyLoss_4d_prob_target_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4415534Z test_CrossEntropyLoss_4d_prob_target_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4415901Z test_CrossEntropyLoss_4d_prob_target_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4416228Z test_CrossEntropyLoss_4d_prob_target_sum_reduction (__main__.TestNN) ... ok (0.007s) 2022-11-23T02:13:53.4416591Z test_CrossEntropyLoss_4d_prob_target_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4416981Z test_CrossEntropyLoss_4d_prob_target_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4417370Z test_CrossEntropyLoss_4d_prob_target_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4417701Z test_CrossEntropyLoss_4d_prob_target_weights (__main__.TestNN) ... ok (0.008s) 2022-11-23T02:13:53.4418051Z test_CrossEntropyLoss_4d_prob_target_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4418437Z test_CrossEntropyLoss_4d_prob_target_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4418930Z test_CrossEntropyLoss_4d_prob_target_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4419277Z test_CrossEntropyLoss_4d_prob_target_weights_sum_reduction (__main__.TestNN) ... ok (0.008s) 2022-11-23T02:13:53.4419661Z test_CrossEntropyLoss_4d_prob_target_weights_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4420071Z test_CrossEntropyLoss_4d_prob_target_weights_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4420482Z test_CrossEntropyLoss_4d_prob_target_weights_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4420843Z test_CrossEntropyLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4421184Z test_CrossEntropyLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4421523Z test_CrossEntropyLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4421824Z test_CrossEntropyLoss_dim_is_3 (__main__.TestNN) ... ok (0.006s) 2022-11-23T02:13:53.4422131Z test_CrossEntropyLoss_dim_is_3_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4422485Z test_CrossEntropyLoss_dim_is_3_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4422835Z test_CrossEntropyLoss_dim_is_3_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4423197Z test_CrossEntropyLoss_dim_is_3_sum_reduction (__main__.TestNN) ... ok (0.007s) 2022-11-23T02:13:53.4423547Z test_CrossEntropyLoss_dim_is_3_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4423925Z test_CrossEntropyLoss_dim_is_3_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4424304Z test_CrossEntropyLoss_dim_is_3_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4424619Z test_CrossEntropyLoss_higher_dim (__main__.TestNN) ... ok (0.007s) 2022-11-23T02:13:53.4424951Z test_CrossEntropyLoss_higher_dim_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4425355Z test_CrossEntropyLoss_higher_dim_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4425716Z test_CrossEntropyLoss_higher_dim_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4426039Z test_CrossEntropyLoss_higher_dim_sum_reduction (__main__.TestNN) ... ok (0.007s) 2022-11-23T02:13:53.4426397Z test_CrossEntropyLoss_higher_dim_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4426787Z test_CrossEntropyLoss_higher_dim_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4427173Z test_CrossEntropyLoss_higher_dim_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4427482Z test_CrossEntropyLoss_weights (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4427802Z test_CrossEntropyLoss_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4428159Z test_CrossEntropyLoss_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4428502Z test_CrossEntropyLoss_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4429000Z test_CrossMapLRN2d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4429477Z ok (0.009s) 2022-11-23T02:13:53.4429731Z test_CrossMapLRN2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4430186Z test_ELU (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4430558Z ok (0.008s) 2022-11-23T02:13:53.4430794Z test_ELU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4431259Z test_ELU_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4431625Z ok (0.005s) 2022-11-23T02:13:53.4431869Z test_ELU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4432334Z test_ELU_scalar (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4432705Z ok (0.005s) 2022-11-23T02:13:53.4432931Z test_ELU_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4433401Z test_Embedding (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4433776Z ok (0.006s) 2022-11-23T02:13:53.4434223Z test_EmbeddingBag_discontiguous (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4434605Z ok (0.011s) 2022-11-23T02:13:53.4434866Z test_EmbeddingBag_discontiguous_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4435355Z test_EmbeddingBag_max (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4435778Z ok (0.007s) 2022-11-23T02:13:53.4436013Z test_EmbeddingBag_max_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4436509Z test_EmbeddingBag_max_padding_idx (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4436901Z ok (0.007s) 2022-11-23T02:13:53.4437150Z test_EmbeddingBag_max_padding_idx_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4437646Z test_EmbeddingBag_mean (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4438023Z ok (0.007s) 2022-11-23T02:13:53.4438270Z test_EmbeddingBag_mean_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4438754Z test_EmbeddingBag_mean_padding_idx (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4439152Z ok (0.007s) 2022-11-23T02:13:53.4439413Z test_EmbeddingBag_mean_padding_idx_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4439910Z test_EmbeddingBag_sparse (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4440279Z ok (0.010s) 2022-11-23T02:13:53.4440534Z test_EmbeddingBag_sparse_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4441012Z test_EmbeddingBag_sum (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4441394Z ok (0.006s) 2022-11-23T02:13:53.4441628Z test_EmbeddingBag_sum_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4442120Z test_EmbeddingBag_sum_padding_idx (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4442508Z ok (0.006s) 2022-11-23T02:13:53.4442768Z test_EmbeddingBag_sum_padding_idx_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4443084Z test_Embedding_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4443564Z test_Embedding_discontiguous (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4443955Z ok (0.011s) 2022-11-23T02:13:53.4444211Z test_Embedding_discontiguous_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4444717Z test_Embedding_sparse (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4445099Z ok (0.009s) 2022-11-23T02:13:53.4445342Z test_Embedding_sparse_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4445795Z test_Flatten (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4446195Z ok (0.008s) 2022-11-23T02:13:53.4446430Z test_Flatten_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4446902Z test_Flatten_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4447268Z ok (0.007s) 2022-11-23T02:13:53.4447517Z test_Flatten_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4447982Z test_Fold (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4448349Z ok (0.006s) 2022-11-23T02:13:53.4448568Z test_Fold_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4449030Z test_Fold_int_input (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4449407Z ok (0.006s) 2022-11-23T02:13:53.4449651Z test_Fold_int_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4450117Z test_Fold_no_batch_dim_input (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4450499Z ok (0.006s) 2022-11-23T02:13:53.4450750Z test_Fold_no_batch_dim_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4451230Z test_Fold_no_batch_dim_int_input (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4451601Z ok (0.006s) 2022-11-23T02:13:53.4451854Z test_Fold_no_batch_dim_int_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4452353Z test_FractionalMaxPool2d_ratio (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4452743Z ok (0.010s) 2022-11-23T02:13:53.4452991Z test_FractionalMaxPool2d_ratio_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4453508Z test_FractionalMaxPool2d_ratio_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4453912Z ok (0.010s) 2022-11-23T02:13:53.4454185Z test_FractionalMaxPool2d_ratio_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4454745Z test_FractionalMaxPool2d_ratio_no_batch_dim_no_random_samples (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4455164Z ok (0.010s) 2022-11-23T02:13:53.4455452Z test_FractionalMaxPool2d_ratio_no_batch_dim_no_random_samples_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4455997Z test_FractionalMaxPool2d_ratio_return_indices (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4456426Z ok (0.009s) 2022-11-23T02:13:53.4456703Z test_FractionalMaxPool2d_ratio_return_indices_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4457222Z test_FractionalMaxPool2d_size (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4457616Z ok (0.010s) 2022-11-23T02:13:53.4457865Z test_FractionalMaxPool2d_size_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4458380Z test_FractionalMaxPool2d_size_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4458888Z ok (0.010s) 2022-11-23T02:13:53.4459166Z test_FractionalMaxPool2d_size_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4459703Z test_FractionalMaxPool2d_size_no_batch_dim_no_random_samples (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4460125Z ok (0.010s) 2022-11-23T02:13:53.4460420Z test_FractionalMaxPool2d_size_no_batch_dim_no_random_samples_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4460957Z test_FractionalMaxPool3d_asymsize (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4461341Z ok (0.011s) 2022-11-23T02:13:53.4461608Z test_FractionalMaxPool3d_asymsize_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4462123Z test_FractionalMaxPool3d_ratio (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4462516Z ok (0.010s) 2022-11-23T02:13:53.4462766Z test_FractionalMaxPool3d_ratio_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4463279Z test_FractionalMaxPool3d_ratio_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4463677Z ok (0.010s) 2022-11-23T02:13:53.4463941Z test_FractionalMaxPool3d_ratio_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4464487Z test_FractionalMaxPool3d_ratio_no_batch_dim_no_random_samples (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4464909Z ok (0.010s) 2022-11-23T02:13:53.4465291Z test_FractionalMaxPool3d_ratio_no_batch_dim_no_random_samples_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4465839Z test_FractionalMaxPool3d_ratio_return_indices (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4466235Z ok (0.010s) 2022-11-23T02:13:53.4466516Z test_FractionalMaxPool3d_ratio_return_indices_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4467036Z test_FractionalMaxPool3d_size (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4467478Z ok (0.011s) 2022-11-23T02:13:53.4467726Z test_FractionalMaxPool3d_size_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4468241Z test_FractionalMaxPool3d_size_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4468640Z ok (0.011s) 2022-11-23T02:13:53.4468913Z test_FractionalMaxPool3d_size_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4469519Z test_FractionalMaxPool3d_size_no_batch_dim_no_random_samples (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4469946Z ok (0.011s) 2022-11-23T02:13:53.4470239Z test_FractionalMaxPool3d_size_no_batch_dim_no_random_samples_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4470747Z test_GELU (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4471102Z ok (0.009s) 2022-11-23T02:13:53.4471335Z test_GELU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4471804Z test_GELU_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4472188Z ok (0.005s) 2022-11-23T02:13:53.4472422Z test_GELU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4472898Z test_GELU_scalar (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4473275Z ok (0.005s) 2022-11-23T02:13:53.4473499Z test_GELU_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4473956Z test_GLU (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4474322Z ok (0.008s) 2022-11-23T02:13:53.4474553Z test_GLU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4474989Z test_GLU_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4475359Z ok (0.008s) 2022-11-23T02:13:53.4475594Z test_GLU_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4476090Z test_GLU_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4476456Z ok (0.006s) 2022-11-23T02:13:53.4476697Z test_GLU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4477172Z test_GroupNorm_1d_affine (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4477586Z ok (0.026s) 2022-11-23T02:13:53.4477979Z test_GroupNorm_1d_affine_GN (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4478360Z ok (0.024s) 2022-11-23T02:13:53.4478614Z test_GroupNorm_1d_affine_GN_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4479104Z test_GroupNorm_1d_affine_GN_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4479477Z ok (0.024s) 2022-11-23T02:13:53.4479732Z test_GroupNorm_1d_affine_GN_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4480066Z test_GroupNorm_1d_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4480540Z test_GroupNorm_1d_affine_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4480925Z ok (0.026s) 2022-11-23T02:13:53.4481177Z test_GroupNorm_1d_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4481518Z test_GroupNorm_1d_affine_large_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4481861Z test_GroupNorm_1d_affine_large_batch_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4482363Z test_GroupNorm_1d_no_affine_IN (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4482749Z ok (0.013s) 2022-11-23T02:13:53.4483002Z test_GroupNorm_1d_no_affine_IN_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4483482Z test_GroupNorm_1d_no_affine_IN_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4483873Z ok (0.013s) 2022-11-23T02:13:53.4484132Z test_GroupNorm_1d_no_affine_IN_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4484623Z test_GroupNorm_1d_no_affine_LN (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4484995Z ok (0.012s) 2022-11-23T02:13:53.4485249Z test_GroupNorm_1d_no_affine_LN_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4485774Z test_GroupNorm_1d_no_affine_LN_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4486165Z ok (0.012s) 2022-11-23T02:13:53.4486411Z test_GroupNorm_1d_no_affine_LN_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4486894Z test_GroupNorm_2d_affine (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4487274Z ok (0.027s) 2022-11-23T02:13:53.4487520Z test_GroupNorm_2d_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4488021Z test_GroupNorm_2d_affine_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4488406Z ok (0.027s) 2022-11-23T02:13:53.4488661Z test_GroupNorm_2d_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4489010Z test_GroupNorm_2d_affine_large_feature_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4489360Z test_GroupNorm_2d_affine_large_feature_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4489864Z test_GroupNorm_2d_no_affine_IN (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4490249Z ok (0.013s) 2022-11-23T02:13:53.4490502Z test_GroupNorm_2d_no_affine_IN_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4490984Z test_GroupNorm_2d_no_affine_IN_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4491369Z ok (0.013s) 2022-11-23T02:13:53.4491628Z test_GroupNorm_2d_no_affine_IN_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4492119Z test_GroupNorm_2d_no_affine_LN (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4492489Z ok (0.013s) 2022-11-23T02:13:53.4492741Z test_GroupNorm_2d_no_affine_LN_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4493064Z test_GroupNorm_2d_no_affine_LN_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4493134Z ok (0.013s) 2022-11-23T02:13:53.4493300Z test_GroupNorm_2d_no_affine_LN_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4493472Z test_GroupNorm_2d_no_affine_large_feature_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4493636Z test_GroupNorm_2d_no_affine_large_feature_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4493936Z test_Hardshrink (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4494005Z ok (0.007s) 2022-11-23T02:13:53.4494150Z test_Hardshrink_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4494489Z test_Hardshrink_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4494558Z ok (0.005s) 2022-11-23T02:13:53.4494717Z test_Hardshrink_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4495023Z test_Hardshrink_scalar (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4495089Z ok (0.004s) 2022-11-23T02:13:53.4495240Z test_Hardshrink_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4495570Z test_Hardsigmoid_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4495637Z ok (0.003s) 2022-11-23T02:13:53.4495804Z test_Hardsigmoid_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4496113Z test_Hardswish_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4496179Z ok (0.003s) 2022-11-23T02:13:53.4496336Z test_Hardswish_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4496635Z test_Hardtanh (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4496702Z ok (0.008s) 2022-11-23T02:13:53.4496845Z test_Hardtanh_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4497140Z test_Hardtanh_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4497205Z ok (0.005s) 2022-11-23T02:13:53.4497359Z test_Hardtanh_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4497664Z test_Hardtanh_scalar (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4497733Z ok (0.005s) 2022-11-23T02:13:53.4497884Z test_Hardtanh_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4498006Z test_HingeEmbeddingLoss (__main__.TestNN) ... ok (0.006s) 2022-11-23T02:13:53.4498177Z test_HingeEmbeddingLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4498342Z test_HingeEmbeddingLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4498490Z test_HingeEmbeddingLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4498620Z test_HingeEmbeddingLoss_margin (__main__.TestNN) ... ok (0.006s) 2022-11-23T02:13:53.4498918Z test_HingeEmbeddingLoss_margin_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4499093Z test_HingeEmbeddingLoss_margin_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4499271Z test_HingeEmbeddingLoss_margin_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4499654Z test_HingeEmbeddingLoss_margin_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4499727Z ok (0.006s) 2022-11-23T02:13:53.4499906Z test_HingeEmbeddingLoss_margin_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4500054Z test_HingeEmbeddingLoss_margin_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4500228Z test_HingeEmbeddingLoss_margin_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4500419Z test_HingeEmbeddingLoss_margin_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4500642Z test_HingeEmbeddingLoss_margin_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4500788Z test_HingeEmbeddingLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4500974Z test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4501157Z test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4501337Z test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4501480Z test_HingeEmbeddingLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4501665Z test_HingeEmbeddingLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4501833Z test_HingeEmbeddingLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4502014Z test_HingeEmbeddingLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4502152Z test_HingeEmbeddingLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4502335Z test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4502512Z test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4502690Z test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4503011Z test_HingeEmbeddingLoss_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4503080Z ok (0.006s) 2022-11-23T02:13:53.4503249Z test_HingeEmbeddingLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4503387Z test_HingeEmbeddingLoss_scalar_margin (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4503556Z test_HingeEmbeddingLoss_scalar_margin_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4503736Z test_HingeEmbeddingLoss_scalar_margin_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4503913Z test_HingeEmbeddingLoss_scalar_margin_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4504067Z test_HingeEmbeddingLoss_scalar_margin_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4504264Z test_HingeEmbeddingLoss_scalar_margin_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4504459Z test_HingeEmbeddingLoss_scalar_margin_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4504654Z test_HingeEmbeddingLoss_scalar_margin_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4504820Z test_HingeEmbeddingLoss_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4505003Z test_HingeEmbeddingLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4505170Z test_HingeEmbeddingLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4505350Z test_HingeEmbeddingLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4505454Z test_HuberLoss (__main__.TestNN) ... ok (0.008s) 2022-11-23T02:13:53.4505609Z test_HuberLoss_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4505789Z test_HuberLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4505937Z test_HuberLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4506085Z test_HuberLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4506392Z test_HuberLoss_delta (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4506460Z ok (0.055s) 2022-11-23T02:13:53.4506596Z test_HuberLoss_delta_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4506722Z test_HuberLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4506892Z test_HuberLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4507064Z test_HuberLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4507231Z test_HuberLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4507357Z test_HuberLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4507527Z test_HuberLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4507695Z test_HuberLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4507847Z test_HuberLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4507970Z test_HuberLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4508136Z test_HuberLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4508301Z test_HuberLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4508465Z test_HuberLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4508587Z test_HuberLoss_sum_reduction (__main__.TestNN) ... ok (0.008s) 2022-11-23T02:13:53.4508757Z test_HuberLoss_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4508925Z test_HuberLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4509088Z test_HuberLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4509340Z test_HuberLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4509661Z test_InstanceNorm1d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4509733Z ok (0.014s) 2022-11-23T02:13:53.4509885Z test_InstanceNorm1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4510234Z test_InstanceNorm1d_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4510304Z ok (0.014s) 2022-11-23T02:13:53.4510461Z test_InstanceNorm1d_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4510784Z test_InstanceNorm1d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4510883Z ok (0.013s) 2022-11-23T02:13:53.4511035Z test_InstanceNorm1d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4511360Z test_InstanceNorm1d_no_batch_dim_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4511428Z ok (0.013s) 2022-11-23T02:13:53.4511598Z test_InstanceNorm1d_no_batch_dim_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4511917Z test_InstanceNorm1d_tracking_stats (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4511983Z ok (0.015s) 2022-11-23T02:13:53.4512150Z test_InstanceNorm1d_tracking_stats_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4512476Z test_InstanceNorm1d_tracking_stats_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4512544Z ok (0.013s) 2022-11-23T02:13:53.4512716Z test_InstanceNorm1d_tracking_stats_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4513046Z test_InstanceNorm1d_tracking_stats_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4513098Z ok (0.014s) 2022-11-23T02:13:53.4513277Z test_InstanceNorm1d_tracking_stats_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4513613Z test_InstanceNorm1d_tracking_stats_no_batch_dim_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4513679Z ok (0.012s) 2022-11-23T02:13:53.4513864Z test_InstanceNorm1d_tracking_stats_no_batch_dim_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4514169Z test_InstanceNorm2d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4514234Z ok (0.014s) 2022-11-23T02:13:53.4514384Z test_InstanceNorm2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4514690Z test_InstanceNorm2d_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4514757Z ok (0.014s) 2022-11-23T02:13:53.4514899Z test_InstanceNorm2d_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4515242Z test_InstanceNorm2d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4515308Z ok (0.014s) 2022-11-23T02:13:53.4515473Z test_InstanceNorm2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4515795Z test_InstanceNorm2d_no_batch_dim_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4515903Z ok (0.014s) 2022-11-23T02:13:53.4516073Z test_InstanceNorm2d_no_batch_dim_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4516394Z test_InstanceNorm2d_tracking_stats (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4516460Z ok (0.016s) 2022-11-23T02:13:53.4516614Z test_InstanceNorm2d_tracking_stats_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4516938Z test_InstanceNorm2d_tracking_stats_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4517003Z ok (0.013s) 2022-11-23T02:13:53.4517176Z test_InstanceNorm2d_tracking_stats_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4517509Z test_InstanceNorm2d_tracking_stats_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4517575Z ok (0.016s) 2022-11-23T02:13:53.4517754Z test_InstanceNorm2d_tracking_stats_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4518084Z test_InstanceNorm2d_tracking_stats_no_batch_dim_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4518149Z ok (0.013s) 2022-11-23T02:13:53.4518330Z test_InstanceNorm2d_tracking_stats_no_batch_dim_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4518635Z test_InstanceNorm3d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4518689Z ok (0.014s) 2022-11-23T02:13:53.4518839Z test_InstanceNorm3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4519145Z test_InstanceNorm3d_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4519211Z ok (0.014s) 2022-11-23T02:13:53.4519364Z test_InstanceNorm3d_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4519677Z test_InstanceNorm3d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4519744Z ok (0.014s) 2022-11-23T02:13:53.4519910Z test_InstanceNorm3d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4520256Z test_InstanceNorm3d_no_batch_dim_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4520310Z ok (0.014s) 2022-11-23T02:13:53.4520476Z test_InstanceNorm3d_no_batch_dim_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4520793Z test_InstanceNorm3d_tracking_stats (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4520888Z ok (0.016s) 2022-11-23T02:13:53.4521056Z test_InstanceNorm3d_tracking_stats_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4521382Z test_InstanceNorm3d_tracking_stats_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4521448Z ok (0.013s) 2022-11-23T02:13:53.4521624Z test_InstanceNorm3d_tracking_stats_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4521957Z test_InstanceNorm3d_tracking_stats_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4522025Z ok (0.016s) 2022-11-23T02:13:53.4522191Z test_InstanceNorm3d_tracking_stats_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4522526Z test_InstanceNorm3d_tracking_stats_no_batch_dim_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4522592Z ok (0.013s) 2022-11-23T02:13:53.4522773Z test_InstanceNorm3d_tracking_stats_no_batch_dim_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4523545Z test_KLDivLoss (__main__.TestNN) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2921: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-11-23T02:13:53.4523777Z "reduction: 'mean' divides the total loss by both the batch size and the support size." 2022-11-23T02:13:53.4524389Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2921: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-11-23T02:13:53.4524613Z "reduction: 'mean' divides the total loss by both the batch size and the support size." 2022-11-23T02:13:53.4525217Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2921: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-11-23T02:13:53.4525445Z "reduction: 'mean' divides the total loss by both the batch size and the support size." 2022-11-23T02:13:53.4525514Z ok (0.005s) 2022-11-23T02:13:53.4525642Z test_KLDivLoss_batch_mean (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4525789Z test_KLDivLoss_batch_mean_log_target (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4525949Z test_KLDivLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4526101Z test_KLDivLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4526252Z test_KLDivLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4526930Z test_KLDivLoss_log_target (__main__.TestNN) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2921: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-11-23T02:13:53.4527184Z "reduction: 'mean' divides the total loss by both the batch size and the support size." 2022-11-23T02:13:53.4527790Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2921: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-11-23T02:13:53.4528011Z "reduction: 'mean' divides the total loss by both the batch size and the support size." 2022-11-23T02:13:53.4528079Z ok (0.005s) 2022-11-23T02:13:53.4528248Z test_KLDivLoss_log_target_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4528401Z test_KLDivLoss_log_target_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4528566Z test_KLDivLoss_log_target_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4528700Z test_KLDivLoss_log_target_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4528883Z test_KLDivLoss_log_target_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4529062Z test_KLDivLoss_log_target_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4529235Z test_KLDivLoss_log_target_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4529361Z test_KLDivLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4529531Z test_KLDivLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4529702Z test_KLDivLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4529857Z test_KLDivLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4529984Z test_KLDivLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4530154Z test_KLDivLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4530321Z test_KLDivLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4530487Z test_KLDivLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4530611Z test_KLDivLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4530781Z test_KLDivLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4530944Z test_KLDivLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4531113Z test_KLDivLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4531446Z test_KLDivLoss_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4531515Z ok (0.010s) 2022-11-23T02:13:53.4531669Z test_KLDivLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4531991Z test_KLDivLoss_no_reduce_log_target (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4532057Z ok (0.010s) 2022-11-23T02:13:53.4532225Z test_KLDivLoss_no_reduce_log_target_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4532573Z test_KLDivLoss_no_reduce_scalar (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4532640Z ok (0.006s) 2022-11-23T02:13:53.4532807Z test_KLDivLoss_no_reduce_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4533137Z test_KLDivLoss_no_reduce_scalar_log_target (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4533190Z ok (0.007s) 2022-11-23T02:13:53.4533365Z test_KLDivLoss_no_reduce_scalar_log_target_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4534043Z test_KLDivLoss_scalar (__main__.TestNN) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2921: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-11-23T02:13:53.4534272Z "reduction: 'mean' divides the total loss by both the batch size and the support size." 2022-11-23T02:13:53.4534878Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2921: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-11-23T02:13:53.4535103Z "reduction: 'mean' divides the total loss by both the batch size and the support size." 2022-11-23T02:13:53.4535705Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2921: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-11-23T02:13:53.4535932Z "reduction: 'mean' divides the total loss by both the batch size and the support size." 2022-11-23T02:13:53.4536000Z ok (0.005s) 2022-11-23T02:13:53.4536162Z test_KLDivLoss_scalar_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4536323Z test_KLDivLoss_scalar_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4536468Z test_KLDivLoss_scalar_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4537156Z test_KLDivLoss_scalar_log_target (__main__.TestNN) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2921: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-11-23T02:13:53.4537384Z "reduction: 'mean' divides the total loss by both the batch size and the support size." 2022-11-23T02:13:53.4538007Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2921: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-11-23T02:13:53.4538231Z "reduction: 'mean' divides the total loss by both the batch size and the support size." 2022-11-23T02:13:53.4538298Z ok (0.005s) 2022-11-23T02:13:53.4538473Z test_KLDivLoss_scalar_log_target_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4538678Z test_KLDivLoss_scalar_log_target_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4538982Z test_KLDivLoss_scalar_log_target_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4539130Z test_KLDivLoss_scalar_log_target_sum_reduction (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4539321Z test_KLDivLoss_scalar_log_target_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4539493Z test_KLDivLoss_scalar_log_target_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4539681Z test_KLDivLoss_scalar_log_target_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4539814Z test_KLDivLoss_scalar_sum_reduction (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4539993Z test_KLDivLoss_scalar_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4540171Z test_KLDivLoss_scalar_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4540344Z test_KLDivLoss_scalar_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4540470Z test_KLDivLoss_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4540641Z test_KLDivLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4540809Z test_KLDivLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4540963Z test_KLDivLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4541294Z test_KLDivLoss_with_log_target_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4541368Z ok (0.010s) 2022-11-23T02:13:53.4541540Z test_KLDivLoss_with_log_target_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4541867Z test_KLDivLoss_with_target_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4541935Z ok (0.009s) 2022-11-23T02:13:53.4542101Z test_KLDivLoss_with_target_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4542203Z test_L1Loss (__main__.TestNN) ... ok (0.008s) 2022-11-23T02:13:53.4542353Z test_L1Loss_cuda_cdouble (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4542486Z test_L1Loss_cuda_cfloat (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4542635Z test_L1Loss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4542778Z test_L1Loss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4542921Z test_L1Loss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4543087Z test_L1Loss_no_batch_dim_mean (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4543255Z test_L1Loss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4543419Z test_L1Loss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4543580Z test_L1Loss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4543701Z test_L1Loss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4543851Z test_L1Loss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4544051Z test_L1Loss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4544213Z test_L1Loss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4544337Z test_L1Loss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4544498Z test_L1Loss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4544660Z test_L1Loss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4544822Z test_L1Loss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4545135Z test_L1Loss_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4545206Z ok (0.008s) 2022-11-23T02:13:53.4545508Z test_L1Loss_no_reduce_complex (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4545581Z ok (0.017s) 2022-11-23T02:13:53.4545742Z test_L1Loss_no_reduce_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4545893Z test_L1Loss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4546207Z test_L1Loss_no_reduce_scalar (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4546275Z ok (0.006s) 2022-11-23T02:13:53.4546434Z test_L1Loss_no_reduce_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4546544Z test_L1Loss_scalar (__main__.TestNN) ... ok (0.007s) 2022-11-23T02:13:53.4546697Z test_L1Loss_scalar_cuda_cdouble (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4546840Z test_L1Loss_scalar_cuda_cfloat (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4546997Z test_L1Loss_scalar_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4547146Z test_L1Loss_scalar_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4547296Z test_L1Loss_scalar_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4547596Z test_LPPool1d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4547665Z ok (0.016s) 2022-11-23T02:13:53.4547810Z test_LPPool1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4548150Z test_LPPool1d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4548219Z ok (0.017s) 2022-11-23T02:13:53.4548362Z test_LPPool1d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4548666Z test_LPPool1d_norm (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4548729Z ok (0.017s) 2022-11-23T02:13:53.4548880Z test_LPPool1d_norm_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4549296Z test_LPPool2d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4549370Z ok (0.016s) 2022-11-23T02:13:53.4549519Z test_LPPool2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4549821Z test_LPPool2d_norm (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4549888Z ok (0.017s) 2022-11-23T02:13:53.4550023Z test_LPPool2d_norm_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4550127Z test_LSTM_cell (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4550256Z test_LSTM_cell_forward_hidden_size (__main__.TestNN) ... ok (0.006s) 2022-11-23T02:13:53.4550387Z test_LSTM_cell_forward_input_size (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4550711Z test_LayerNorm_1d_elementwise_affine (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4550779Z ok (0.020s) 2022-11-23T02:13:53.4550951Z test_LayerNorm_1d_elementwise_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4551283Z test_LayerNorm_1d_elementwise_affine_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4551351Z ok (0.020s) 2022-11-23T02:13:53.4551512Z test_LayerNorm_1d_elementwise_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4551846Z test_LayerNorm_1d_empty_elementwise_affine (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4551914Z ok (0.015s) 2022-11-23T02:13:53.4552093Z test_LayerNorm_1d_empty_elementwise_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4552428Z test_LayerNorm_1d_empty_elementwise_affine_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4552496Z ok (0.015s) 2022-11-23T02:13:53.4552680Z test_LayerNorm_1d_empty_elementwise_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4553004Z test_LayerNorm_1d_no_elementwise_affine (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4553069Z ok (0.010s) 2022-11-23T02:13:53.4553273Z test_LayerNorm_1d_no_elementwise_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4553604Z test_LayerNorm_1d_no_elementwise_affine_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4553658Z ok (0.010s) 2022-11-23T02:13:53.4553834Z test_LayerNorm_1d_no_elementwise_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4554151Z test_LayerNorm_3d_elementwise_affine (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4554262Z ok (0.020s) 2022-11-23T02:13:53.4554433Z test_LayerNorm_3d_elementwise_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4554758Z test_LayerNorm_3d_elementwise_affine_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4554825Z ok (0.020s) 2022-11-23T02:13:53.4554997Z test_LayerNorm_3d_elementwise_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4555322Z test_LayerNorm_3d_no_affine_large_feature (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4555389Z ok (0.385s) 2022-11-23T02:13:53.4555548Z test_LayerNorm_3d_no_affine_large_feature_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4555879Z test_LayerNorm_3d_no_affine_large_feature_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4555945Z ok (0.334s) 2022-11-23T02:13:53.4556121Z test_LayerNorm_3d_no_affine_large_feature_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4556442Z test_LayerNorm_3d_no_elementwise_affine (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4556512Z ok (0.011s) 2022-11-23T02:13:53.4556681Z test_LayerNorm_3d_no_elementwise_affine_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4557012Z test_LayerNorm_3d_no_elementwise_affine_eval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4557078Z ok (0.011s) 2022-11-23T02:13:53.4557239Z test_LayerNorm_3d_no_elementwise_affine_eval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4557537Z test_LeakyReLU (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4557604Z ok (0.008s) 2022-11-23T02:13:53.4557750Z test_LeakyReLU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4558088Z test_LeakyReLU_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4558155Z ok (0.005s) 2022-11-23T02:13:53.4558313Z test_LeakyReLU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4558621Z test_LeakyReLU_with_negval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4558687Z ok (0.008s) 2022-11-23T02:13:53.4558842Z test_LeakyReLU_with_negval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4559196Z test_LeakyReLU_with_negval_scalar (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4559264Z ok (0.005s) 2022-11-23T02:13:53.4559435Z test_LeakyReLU_with_negval_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4559750Z test_LeakyReLU_with_zero_negval (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4559818Z ok (0.008s) 2022-11-23T02:13:53.4559982Z test_LeakyReLU_with_zero_negval_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4560281Z test_Linear (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4560351Z ok (0.019s) 2022-11-23T02:13:53.4560491Z test_Linear_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4560803Z test_Linear_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4560857Z ok (0.014s) 2022-11-23T02:13:53.4561009Z test_Linear_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4561307Z test_Linear_no_bias (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4561375Z ok (0.014s) 2022-11-23T02:13:53.4561525Z test_Linear_no_bias_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4561845Z test_LocalResponseNorm_1d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4561913Z ok (0.015s) 2022-11-23T02:13:53.4562072Z test_LocalResponseNorm_1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4562395Z test_LocalResponseNorm_2d_uneven_pad (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4562448Z ok (0.015s) 2022-11-23T02:13:53.4562621Z test_LocalResponseNorm_2d_uneven_pad_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4562949Z test_LocalResponseNorm_3d_custom_params (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4563014Z ok (0.018s) 2022-11-23T02:13:53.4563222Z test_LocalResponseNorm_3d_custom_params_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4563528Z test_LogSigmoid (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4563594Z ok (0.009s) 2022-11-23T02:13:53.4563741Z test_LogSigmoid_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4564057Z test_LogSigmoid_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4564147Z ok (0.006s) 2022-11-23T02:13:53.4564294Z test_LogSigmoid_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4564604Z test_LogSigmoid_scalar (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4564668Z ok (0.005s) 2022-11-23T02:13:53.4564819Z test_LogSigmoid_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4565114Z test_LogSoftmax (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4565181Z ok (0.009s) 2022-11-23T02:13:53.4565324Z test_LogSoftmax_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4565636Z test_LogSoftmax_multiparam (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4565707Z ok (0.009s) 2022-11-23T02:13:53.4565854Z test_LogSoftmax_multiparam_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4566171Z test_LogSoftmax_multiparam_scalar (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4566238Z ok (0.005s) 2022-11-23T02:13:53.4566403Z test_LogSoftmax_multiparam_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4566720Z test_LogSoftmax_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4566786Z ok (0.008s) 2022-11-23T02:13:53.4566946Z test_LogSoftmax_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4567050Z test_MSELoss (__main__.TestNN) ... ok (0.008s) 2022-11-23T02:13:53.4567198Z test_MSELoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4567333Z test_MSELoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4567476Z test_MSELoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4567597Z test_MSELoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4567761Z test_MSELoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4567927Z test_MSELoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4568091Z test_MSELoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4568236Z test_MSELoss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4568405Z test_MSELoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4568568Z test_MSELoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4568718Z test_MSELoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4568839Z test_MSELoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4568997Z test_MSELoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4569186Z test_MSELoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4569349Z test_MSELoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4569660Z test_MSELoss_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4569728Z ok (0.009s) 2022-11-23T02:13:53.4569876Z test_MSELoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4570191Z test_MSELoss_no_reduce_scalar (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4570247Z ok (0.005s) 2022-11-23T02:13:53.4570407Z test_MSELoss_no_reduce_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4570517Z test_MSELoss_prec (__main__.TestNN) ... ok (0.006s) 2022-11-23T02:13:53.4570676Z test_MSELoss_prec_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4570830Z test_MSELoss_prec_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4570981Z test_MSELoss_prec_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4571132Z test_MSELoss_prec_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4571243Z test_MSELoss_scalar (__main__.TestNN) ... ok (0.007s) 2022-11-23T02:13:53.4571387Z test_MSELoss_scalar_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4571544Z test_MSELoss_scalar_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4571699Z test_MSELoss_scalar_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4571850Z test_MSELoss_scalar_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4571979Z test_MSELoss_scalar_sum_reduction (__main__.TestNN) ... ok (0.006s) 2022-11-23T02:13:53.4572154Z test_MSELoss_scalar_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4572326Z test_MSELoss_scalar_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4572499Z test_MSELoss_scalar_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4572671Z test_MSELoss_scalar_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4572781Z test_MSELoss_sum_reduction (__main__.TestNN) ... ok (0.009s) 2022-11-23T02:13:53.4572946Z test_MSELoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4573107Z test_MSELoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4573291Z test_MSELoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4573413Z test_MarginRankingLoss (__main__.TestNN) ... ok (0.008s) 2022-11-23T02:13:53.4573582Z test_MarginRankingLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4573745Z test_MarginRankingLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4573906Z test_MarginRankingLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4574034Z test_MarginRankingLoss_margin (__main__.TestNN) ... ok (0.008s) 2022-11-23T02:13:53.4574216Z test_MarginRankingLoss_margin_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4574388Z test_MarginRankingLoss_margin_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4574561Z test_MarginRankingLoss_margin_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4574706Z test_MarginRankingLoss_margin_sum_reduction (__main__.TestNN) ... ok (0.008s) 2022-11-23T02:13:53.4574893Z test_MarginRankingLoss_margin_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4575077Z test_MarginRankingLoss_margin_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4575259Z test_MarginRankingLoss_margin_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4575398Z test_MarginRankingLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.007s) 2022-11-23T02:13:53.4575581Z test_MarginRankingLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4575750Z test_MarginRankingLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4575929Z test_MarginRankingLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4576069Z test_MarginRankingLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.007s) 2022-11-23T02:13:53.4576251Z test_MarginRankingLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4576429Z test_MarginRankingLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4576605Z test_MarginRankingLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4576744Z test_MarginRankingLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.007s) 2022-11-23T02:13:53.4576924Z test_MarginRankingLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4577099Z test_MarginRankingLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4577262Z test_MarginRankingLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4577399Z test_MarginRankingLoss_sum_reduction (__main__.TestNN) ... ok (0.007s) 2022-11-23T02:13:53.4577577Z test_MarginRankingLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4577754Z test_MarginRankingLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4577932Z test_MarginRankingLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4578236Z test_MaxPool1d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4578305Z ok (0.010s) 2022-11-23T02:13:53.4578478Z test_MaxPool1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4578919Z test_MaxPool1d_return_indices (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4578977Z ok (0.010s) 2022-11-23T02:13:53.4579137Z test_MaxPool1d_return_indices_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4579443Z test_MaxPool1d_stride (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4579554Z ok (0.010s) 2022-11-23T02:13:53.4579707Z test_MaxPool1d_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4580018Z test_MaxPool2d_3d_input (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4580085Z ok (0.009s) 2022-11-23T02:13:53.4580236Z test_MaxPool2d_3d_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4580548Z test_MaxPool2d_4d_input (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4580615Z ok (0.009s) 2022-11-23T02:13:53.4580750Z test_MaxPool2d_4d_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4581065Z test_MaxPool2d_return_indices (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4581132Z ok (0.010s) 2022-11-23T02:13:53.4581292Z test_MaxPool2d_return_indices_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4581592Z test_MaxPool3d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4581659Z ok (0.009s) 2022-11-23T02:13:53.4581805Z test_MaxPool3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4582123Z test_MaxPool3d_return_indices (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4582192Z ok (0.010s) 2022-11-23T02:13:53.4582339Z test_MaxPool3d_return_indices_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4582643Z test_MaxPool3d_stride (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4582712Z ok (0.009s) 2022-11-23T02:13:53.4582863Z test_MaxPool3d_stride_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4583180Z test_MaxPool3d_stride_padding (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4583250Z ok (0.009s) 2022-11-23T02:13:53.4583413Z test_MaxPool3d_stride_padding_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4583750Z test_MaxUnpool1d_net (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4583819Z ok (0.011s) 2022-11-23T02:13:53.4583956Z test_MaxUnpool1d_net_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4584272Z test_MaxUnpool1d_net_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4584361Z ok (0.011s) 2022-11-23T02:13:53.4584525Z test_MaxUnpool1d_net_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4584831Z test_MaxUnpool2d_net (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4584897Z ok (0.010s) 2022-11-23T02:13:53.4585044Z test_MaxUnpool2d_net_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4585360Z test_MaxUnpool2d_net_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4585425Z ok (0.010s) 2022-11-23T02:13:53.4585589Z test_MaxUnpool2d_net_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4585881Z test_MaxUnpool3d_net (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4585947Z ok (0.007s) 2022-11-23T02:13:53.4586095Z test_MaxUnpool3d_net_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4586408Z test_MaxUnpool3d_net_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4586473Z ok (0.007s) 2022-11-23T02:13:53.4586637Z test_MaxUnpool3d_net_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4586928Z test_Mish (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4586996Z ok (0.010s) 2022-11-23T02:13:53.4587132Z test_Mish_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4587435Z test_Mish_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4587487Z ok (0.006s) 2022-11-23T02:13:53.4587634Z test_Mish_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4587931Z test_Mish_scalar (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4588000Z ok (0.006s) 2022-11-23T02:13:53.4588144Z test_Mish_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4588250Z test_ModuleDict (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4588353Z test_ModuleList (__main__.TestNN) ... ok (0.009s) 2022-11-23T02:13:53.4588502Z test_MultiLabelMarginLoss (__main__.TestNN) ... ok (0.021s) 2022-11-23T02:13:53.4588822Z test_MultiLabelMarginLoss_0d_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4588889Z ok (0.003s) 2022-11-23T02:13:53.4589066Z test_MultiLabelMarginLoss_0d_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4589275Z test_MultiLabelMarginLoss_1d (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4589459Z test_MultiLabelMarginLoss_1d_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4589683Z test_MultiLabelMarginLoss_1d_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4589857Z test_MultiLabelMarginLoss_1d_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4590030Z test_MultiLabelMarginLoss_1d_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4590367Z test_MultiLabelMarginLoss_1d_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4590435Z ok (0.006s) 2022-11-23T02:13:53.4590597Z test_MultiLabelMarginLoss_1d_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4590742Z test_MultiLabelMarginLoss_1d_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4590936Z test_MultiLabelMarginLoss_1d_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4591127Z test_MultiLabelMarginLoss_1d_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4591317Z test_MultiLabelMarginLoss_1d_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4591503Z test_MultiLabelMarginLoss_1d_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4591674Z test_MultiLabelMarginLoss_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4591844Z test_MultiLabelMarginLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4592014Z test_MultiLabelMarginLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4592171Z test_MultiLabelMarginLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4592510Z test_MultiLabelMarginLoss_index_neg (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4592579Z ok (0.006s) 2022-11-23T02:13:53.4592754Z test_MultiLabelMarginLoss_index_neg_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4592900Z test_MultiLabelMarginLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4593091Z test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4593280Z test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4593463Z test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4593609Z test_MultiLabelMarginLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4593780Z test_MultiLabelMarginLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4593988Z test_MultiLabelMarginLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4594175Z test_MultiLabelMarginLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4594318Z test_MultiLabelMarginLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4594502Z test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4594682Z test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4594889Z test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4595219Z test_MultiLabelMarginLoss_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4595286Z ok (0.024s) 2022-11-23T02:13:53.4595444Z test_MultiLabelMarginLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4595586Z test_MultiLabelMarginLoss_sum_reduction (__main__.TestNN) ... ok (0.021s) 2022-11-23T02:13:53.4595771Z test_MultiLabelMarginLoss_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4595953Z test_MultiLabelMarginLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4596137Z test_MultiLabelMarginLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4596318Z test_MultiLabelMarginLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4596451Z test_MultiLabelSoftMarginLoss (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4596632Z test_MultiLabelSoftMarginLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4596807Z test_MultiLabelSoftMarginLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4596971Z test_MultiLabelSoftMarginLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4597125Z test_MultiLabelSoftMarginLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.008s) 2022-11-23T02:13:53.4597321Z test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4597518Z test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4597710Z test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4597864Z test_MultiLabelSoftMarginLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.008s) 2022-11-23T02:13:53.4598055Z test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4598243Z test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4598428Z test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4598567Z test_MultiLabelSoftMarginLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.008s) 2022-11-23T02:13:53.4598758Z test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4598949Z test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4599160Z test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4599502Z test_MultiLabelSoftMarginLoss_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4599570Z ok (0.008s) 2022-11-23T02:13:53.4599751Z test_MultiLabelSoftMarginLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4599895Z test_MultiLabelSoftMarginLoss_weights (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4600106Z test_MultiLabelSoftMarginLoss_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4600292Z test_MultiLabelSoftMarginLoss_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4600466Z test_MultiLabelSoftMarginLoss_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4600810Z test_MultiLabelSoftMarginLoss_weights_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4600877Z ok (0.008s) 2022-11-23T02:13:53.4601067Z test_MultiLabelSoftMarginLoss_weights_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4601225Z test_MultiLabelSoftMarginLoss_weights_sum_reduction (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4601427Z test_MultiLabelSoftMarginLoss_weights_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4601626Z test_MultiLabelSoftMarginLoss_weights_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4601827Z test_MultiLabelSoftMarginLoss_weights_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4601942Z test_MultiMarginLoss (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4602048Z test_MultiMarginLoss_1d (__main__.TestNN) ... ok (0.003s) 2022-11-23T02:13:53.4602213Z test_MultiMarginLoss_1d_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4602375Z test_MultiMarginLoss_1d_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4602534Z test_MultiMarginLoss_1d_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4602860Z test_MultiMarginLoss_1d_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4602927Z ok (0.003s) 2022-11-23T02:13:53.4603096Z test_MultiMarginLoss_1d_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4603231Z test_MultiMarginLoss_1d_sum_reduction (__main__.TestNN) ... ok (0.003s) 2022-11-23T02:13:53.4603410Z test_MultiMarginLoss_1d_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4603575Z test_MultiMarginLoss_1d_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4603750Z test_MultiMarginLoss_1d_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4603910Z test_MultiMarginLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4604068Z test_MultiMarginLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4604224Z test_MultiMarginLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4604370Z test_MultiMarginLoss_margin (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4604541Z test_MultiMarginLoss_margin_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4604706Z test_MultiMarginLoss_margin_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4604869Z test_MultiMarginLoss_margin_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4605180Z test_MultiMarginLoss_margin_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4605272Z ok (0.007s) 2022-11-23T02:13:53.4605442Z test_MultiMarginLoss_margin_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4605582Z test_MultiMarginLoss_margin_sum_reduction (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4605765Z test_MultiMarginLoss_margin_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4605946Z test_MultiMarginLoss_margin_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4606125Z test_MultiMarginLoss_margin_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4606443Z test_MultiMarginLoss_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4606511Z ok (0.007s) 2022-11-23T02:13:53.4606661Z test_MultiMarginLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4606779Z test_MultiMarginLoss_p (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4606942Z test_MultiMarginLoss_p_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4607101Z test_MultiMarginLoss_p_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4607261Z test_MultiMarginLoss_p_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4607583Z test_MultiMarginLoss_p_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4607651Z ok (0.007s) 2022-11-23T02:13:53.4607818Z test_MultiMarginLoss_p_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4607952Z test_MultiMarginLoss_p_sum_reduction (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4608119Z test_MultiMarginLoss_p_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4608295Z test_MultiMarginLoss_p_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4608468Z test_MultiMarginLoss_p_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4608601Z test_MultiMarginLoss_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4608773Z test_MultiMarginLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4608946Z test_MultiMarginLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4609119Z test_MultiMarginLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4609245Z test_MultiMarginLoss_weights (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4609414Z test_MultiMarginLoss_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4609596Z test_MultiMarginLoss_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4609766Z test_MultiMarginLoss_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4610100Z test_MultiMarginLoss_weights_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4610168Z ok (0.007s) 2022-11-23T02:13:53.4610338Z test_MultiMarginLoss_weights_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4610506Z test_MultiMarginLoss_weights_sum_reduction (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4610694Z test_MultiMarginLoss_weights_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4610878Z test_MultiMarginLoss_weights_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4611061Z test_MultiMarginLoss_weights_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4611151Z test_NLLLoss (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4611465Z test_NLLLoss2d_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4611533Z ok (0.011s) 2022-11-23T02:13:53.4611685Z test_NLLLoss2d_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4612009Z test_NLLLoss2d_no_reduce_ignore_index (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4612079Z ok (0.011s) 2022-11-23T02:13:53.4612247Z test_NLLLoss2d_no_reduce_ignore_index_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4612560Z test_NLLLoss2d_no_reduce_weights (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4612625Z ok (0.011s) 2022-11-23T02:13:53.4612788Z test_NLLLoss2d_no_reduce_weights_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4613084Z test_NLLLossNd_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4613150Z ok (0.021s) 2022-11-23T02:13:53.4613304Z test_NLLLossNd_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4613623Z test_NLLLossNd_no_reduce_ignore_index (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4613691Z ok (0.021s) 2022-11-23T02:13:53.4613863Z test_NLLLossNd_no_reduce_ignore_index_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4614178Z test_NLLLossNd_no_reduce_weights (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4614245Z ok (0.021s) 2022-11-23T02:13:53.4614413Z test_NLLLossNd_no_reduce_weights_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4614544Z test_NLLLoss_2d (__main__.TestNN) ... ok (0.007s) 2022-11-23T02:13:53.4614685Z test_NLLLoss_2d_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4614839Z test_NLLLoss_2d_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4614987Z test_NLLLoss_2d_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4615134Z test_NLLLoss_2d_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4615255Z test_NLLLoss_2d_ignore_index (__main__.TestNN) ... ok (0.007s) 2022-11-23T02:13:53.4615451Z test_NLLLoss_2d_ignore_index_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4615621Z test_NLLLoss_2d_ignore_index_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4615787Z test_NLLLoss_2d_ignore_index_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4615939Z test_NLLLoss_2d_ignore_index_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4616063Z test_NLLLoss_2d_sum_reduction (__main__.TestNN) ... ok (0.007s) 2022-11-23T02:13:53.4616229Z test_NLLLoss_2d_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4616397Z test_NLLLoss_2d_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4616561Z test_NLLLoss_2d_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4616728Z test_NLLLoss_2d_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4616845Z test_NLLLoss_2d_weights (__main__.TestNN) ... ok (0.007s) 2022-11-23T02:13:53.4617008Z test_NLLLoss_2d_weights_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4617169Z test_NLLLoss_2d_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4617315Z test_NLLLoss_2d_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4617470Z test_NLLLoss_2d_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4617618Z test_NLLLoss_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4617771Z test_NLLLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4617917Z test_NLLLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4618063Z test_NLLLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4618177Z test_NLLLoss_dim_is_3 (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4618334Z test_NLLLoss_dim_is_3_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4618474Z test_NLLLoss_dim_is_3_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4618628Z test_NLLLoss_dim_is_3_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4618879Z test_NLLLoss_dim_is_3_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4619012Z test_NLLLoss_dim_is_3_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4619186Z test_NLLLoss_dim_is_3_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4619363Z test_NLLLoss_dim_is_3_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4619534Z test_NLLLoss_dim_is_3_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4619754Z test_NLLLoss_dim_is_3_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4619876Z test_NLLLoss_higher_dim (__main__.TestNN) ... ok (0.016s) 2022-11-23T02:13:53.4620026Z test_NLLLoss_higher_dim_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4620188Z test_NLLLoss_higher_dim_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4620350Z test_NLLLoss_higher_dim_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4620506Z test_NLLLoss_higher_dim_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4620676Z test_NLLLoss_higher_dim_sum_reduction (__main__.TestNN) ... ok (0.016s) 2022-11-23T02:13:53.4620857Z test_NLLLoss_higher_dim_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4621033Z test_NLLLoss_higher_dim_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4621209Z test_NLLLoss_higher_dim_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4621385Z test_NLLLoss_higher_dim_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4621491Z test_NLLLoss_ignore_index (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4621657Z test_NLLLoss_ignore_index_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4621825Z test_NLLLoss_ignore_index_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4621987Z test_NLLLoss_ignore_index_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4622147Z test_NLLLoss_ignore_index_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4622270Z test_NLLLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4622439Z test_NLLLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4622603Z test_NLLLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4622753Z test_NLLLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4622879Z test_NLLLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4623052Z test_NLLLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4623219Z test_NLLLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4623378Z test_NLLLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4623504Z test_NLLLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4623670Z test_NLLLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4623836Z test_NLLLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4623999Z test_NLLLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4624298Z test_NLLLoss_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4624369Z ok (0.010s) 2022-11-23T02:13:53.4624521Z test_NLLLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4624866Z test_NLLLoss_no_reduce_ignore_index (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4624938Z ok (0.010s) 2022-11-23T02:13:53.4625104Z test_NLLLoss_no_reduce_ignore_index_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4625587Z test_NLLLoss_no_reduce_weights (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4625677Z ok (0.010s) 2022-11-23T02:13:53.4625884Z test_NLLLoss_no_reduce_weights_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4626256Z test_NLLLoss_no_reduce_weights_ignore_index (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4626311Z ok (0.010s) 2022-11-23T02:13:53.4626508Z test_NLLLoss_no_reduce_weights_ignore_index_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4626856Z test_NLLLoss_no_reduce_weights_ignore_index_neg (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4626950Z ok (0.009s) 2022-11-23T02:13:53.4627147Z test_NLLLoss_no_reduce_weights_ignore_index_neg_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4627317Z test_NLLLoss_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4627506Z test_NLLLoss_sum_reduction_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4627688Z test_NLLLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4627873Z test_NLLLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4628021Z test_NLLLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4628155Z test_NLLLoss_weights (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4628343Z test_NLLLoss_weights_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4628519Z test_NLLLoss_weights_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4628701Z test_NLLLoss_weights_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4628962Z test_NLLLoss_weights_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4629376Z test_NLLLoss_weights_ignore_index (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4629776Z test_NLLLoss_weights_ignore_index_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4630183Z test_NLLLoss_weights_ignore_index_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4630543Z test_NLLLoss_weights_ignore_index_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4630968Z test_NLLLoss_weights_ignore_index_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4631294Z test_NLLLoss_weights_ignore_index_neg (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4631722Z test_NLLLoss_weights_ignore_index_neg_cuda_bfloat16 (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4632149Z test_NLLLoss_weights_ignore_index_neg_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4632608Z test_NLLLoss_weights_ignore_index_neg_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4633078Z test_NLLLoss_weights_ignore_index_neg_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4633785Z test_PReLU_1d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4633982Z ok (0.012s) 2022-11-23T02:13:53.4634286Z test_PReLU_1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4635011Z test_PReLU_1d_multiparam (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4635236Z ok (0.012s) 2022-11-23T02:13:53.4635610Z test_PReLU_1d_multiparam_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4636308Z test_PReLU_2d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4650916Z ok (0.013s) 2022-11-23T02:13:53.4651327Z test_PReLU_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4652046Z test_PReLU_2d_multiparam (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4652220Z ok (0.013s) 2022-11-23T02:13:53.4652553Z test_PReLU_2d_multiparam_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4653226Z test_PReLU_3d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4653381Z ok (0.014s) 2022-11-23T02:13:53.4653695Z test_PReLU_3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4654377Z test_PReLU_3d_multiparam (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4654526Z ok (0.014s) 2022-11-23T02:13:53.4654869Z test_PReLU_3d_multiparam_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4655172Z test_PReLU_backward_requires_grad_false (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4655863Z test_PReLU_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4656012Z ok (0.009s) 2022-11-23T02:13:53.4656332Z test_PReLU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4656995Z test_PReLU_scalar (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4657141Z ok (0.008s) 2022-11-23T02:13:53.4657465Z test_PReLU_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4658155Z test_Padding122112_3dcircular (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4658319Z ok (0.017s) 2022-11-23T02:13:53.4658669Z test_Padding122112_3dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4659666Z test_Padding1221_2dcircular (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4659823Z ok (0.012s) 2022-11-23T02:13:53.4660151Z test_Padding1221_2dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4660842Z test_Padding12_1dcircular (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4661061Z ok (0.010s) 2022-11-23T02:13:53.4661408Z test_Padding12_1dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4662118Z test_Padding2322_2dcircular (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4662273Z ok (0.012s) 2022-11-23T02:13:53.4662627Z test_Padding2322_2dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4663314Z test_Padding31_1dcircular (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4663464Z ok (0.010s) 2022-11-23T02:13:53.4663813Z test_Padding31_1dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4664497Z test_Padding322112_3dcircular (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4664655Z ok (0.017s) 2022-11-23T02:13:53.4665006Z test_Padding322112_3dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4665692Z test_Padding332122_3dcircular (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4665854Z ok (0.017s) 2022-11-23T02:13:53.4666209Z test_Padding332122_3dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4666875Z test_Padding3331_2dcircular (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4667034Z ok (0.012s) 2022-11-23T02:13:53.4667383Z test_Padding3331_2dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4668052Z test_Padding33_1dcircular (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4668209Z ok (0.010s) 2022-11-23T02:13:53.4668555Z test_Padding33_1dcircular_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4669300Z test_PairwiseDistance (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4669463Z ok (0.013s) 2022-11-23T02:13:53.4670256Z test_PairwiseDistance_broadcast_lhs (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4670417Z ok (0.014s) 2022-11-23T02:13:53.4670813Z test_PairwiseDistance_broadcast_lhs_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4671529Z test_PairwiseDistance_broadcast_rhs (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4671680Z ok (0.013s) 2022-11-23T02:13:53.4672040Z test_PairwiseDistance_broadcast_rhs_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4672436Z test_PairwiseDistance_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4673158Z test_PairwiseDistance_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4673312Z ok (0.012s) 2022-11-23T02:13:53.4673689Z test_PairwiseDistance_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4674416Z test_PairwiseDistance_with_non_default_args (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4674569Z ok (0.018s) 2022-11-23T02:13:53.4674965Z test_PairwiseDistance_with_non_default_args_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4675222Z test_ParameterDict (__main__.TestNN) ... ok (0.020s) 2022-11-23T02:13:53.4675485Z test_ParameterDict_replication (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4675732Z test_ParameterList (__main__.TestNN) ... ok (0.008s) 2022-11-23T02:13:53.4676001Z test_ParameterList_meta (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4676283Z test_ParameterList_replication (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4676965Z test_PixelShuffle (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4677117Z ok (0.010s) 2022-11-23T02:13:53.4677456Z test_PixelShuffle_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4678131Z test_PixelUnshuffle (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4678285Z ok (0.010s) 2022-11-23T02:13:53.4678600Z test_PixelUnshuffle_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4678883Z test_PoissonNLLLoss_full_loss (__main__.TestNN) ... ok (0.007s) 2022-11-23T02:13:53.4679257Z test_PoissonNLLLoss_full_loss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4679633Z test_PoissonNLLLoss_full_loss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4679998Z test_PoissonNLLLoss_full_loss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4680305Z test_PoissonNLLLoss_full_loss_no_log_input (__main__.TestNN) ... ok (0.007s) 2022-11-23T02:13:53.4680715Z test_PoissonNLLLoss_full_loss_no_log_input_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4681117Z test_PoissonNLLLoss_full_loss_no_log_input_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4681508Z test_PoissonNLLLoss_full_loss_no_log_input_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4681828Z test_PoissonNLLLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4682231Z test_PoissonNLLLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4682624Z test_PoissonNLLLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4683014Z test_PoissonNLLLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4683307Z test_PoissonNLLLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4683742Z test_PoissonNLLLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4684128Z test_PoissonNLLLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4684517Z test_PoissonNLLLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4684810Z test_PoissonNLLLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4685175Z test_PoissonNLLLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4685553Z test_PoissonNLLLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4685935Z test_PoissonNLLLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4686219Z test_PoissonNLLLoss_no_full_loss (__main__.TestNN) ... ok (0.006s) 2022-11-23T02:13:53.4686605Z test_PoissonNLLLoss_no_full_loss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4686968Z test_PoissonNLLLoss_no_full_loss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4687340Z test_PoissonNLLLoss_no_full_loss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4687655Z test_PoissonNLLLoss_no_full_loss_no_log_input (__main__.TestNN) ... ok (0.006s) 2022-11-23T02:13:53.4688044Z test_PoissonNLLLoss_no_full_loss_no_log_input_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4688445Z test_PoissonNLLLoss_no_full_loss_no_log_input_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4688848Z test_PoissonNLLLoss_no_full_loss_no_log_input_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4689549Z test_PoissonNLLLoss_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4689709Z ok (0.009s) 2022-11-23T02:13:53.4690070Z test_PoissonNLLLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4690299Z test_RNN_cell (__main__.TestNN) ... ok (0.007s) 2022-11-23T02:13:53.4690581Z test_RNN_cell_forward_hidden_size (__main__.TestNN) ... ok (0.009s) 2022-11-23T02:13:53.4690855Z test_RNN_cell_forward_input_size (__main__.TestNN) ... ok (0.006s) 2022-11-23T02:13:53.4691121Z test_RNN_cell_forward_zero_hidden_size (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4691392Z test_RNN_cell_no_broadcasting (__main__.TestNN) ... ok (0.034s) 2022-11-23T02:13:53.4691693Z test_RNN_change_dropout (__main__.TestNN) ... skip: needs cudnn >= 5.1 (0.001s) 2022-11-23T02:13:53.4692010Z test_RNN_cpu_vs_cudnn_no_dropout (__main__.TestNN) ... skip: needs cudnn (0.000s) 2022-11-23T02:13:53.4692336Z test_RNN_cpu_vs_cudnn_with_dropout (__main__.TestNN) ... skip: needs cudnn >= 5.1 (0.000s) 2022-11-23T02:13:53.4692635Z test_RNN_cudnn_weight_norm (__main__.TestNN) ... skip: needs cudnn (0.001s) 2022-11-23T02:13:53.4692966Z test_RNN_dropout (__main__.TestNN) ... skip: needs cudnn >= 5.1 (0.002s) 2022-11-23T02:13:53.4693265Z test_RNN_dropout_state (__main__.TestNN) ... skip: needs cudnn >= 5.1 (0.001s) 2022-11-23T02:13:53.4693500Z test_RNN_input_size_zero (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4693751Z test_RNN_nonlinearity (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4694414Z test_RReLU (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4694567Z ok (0.008s) 2022-11-23T02:13:53.4694872Z test_RReLU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4695606Z test_RReLU_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4695762Z ok (0.005s) 2022-11-23T02:13:53.4696086Z test_RReLU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4696763Z test_RReLU_with_up_down (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4696917Z ok (0.007s) 2022-11-23T02:13:53.4697229Z test_RReLU_with_up_down_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4697934Z test_RReLU_with_up_down_scalar (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4698102Z ok (0.005s) 2022-11-23T02:13:53.4698456Z test_RReLU_with_up_down_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4699207Z test_ReLU (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4699369Z ok (0.009s) 2022-11-23T02:13:53.4700024Z test_ReLU6 (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4700183Z ok (0.009s) 2022-11-23T02:13:53.4700502Z test_ReLU6_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4701162Z test_ReLU6_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4701319Z ok (0.005s) 2022-11-23T02:13:53.4701659Z test_ReLU6_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4702338Z test_ReLU6_scalar (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4702495Z ok (0.005s) 2022-11-23T02:13:53.4702820Z test_ReLU6_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4703127Z test_ReLU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4703817Z test_ReLU_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4703969Z ok (0.005s) 2022-11-23T02:13:53.4704358Z test_ReLU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4705039Z test_ReLU_scalar (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4705185Z ok (0.005s) 2022-11-23T02:13:53.4705510Z test_ReLU_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4706189Z test_ReflectionPad1d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4706400Z ok (0.008s) 2022-11-23T02:13:53.4707104Z test_ReflectionPad1d_batch (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4707260Z ok (0.009s) 2022-11-23T02:13:53.4707618Z test_ReflectionPad1d_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4708325Z test_ReflectionPad1d_complex (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4708458Z ok (0.015s) 2022-11-23T02:13:53.4708827Z test_ReflectionPad1d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4709233Z test_ReflectionPad1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4709917Z test_ReflectionPad2d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4710071Z ok (0.009s) 2022-11-23T02:13:53.4710774Z test_ReflectionPad2d_complex (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4710938Z ok (0.017s) 2022-11-23T02:13:53.4711302Z test_ReflectionPad2d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4711647Z test_ReflectionPad2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4712339Z test_ReflectionPad2d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4712493Z ok (0.010s) 2022-11-23T02:13:53.4712869Z test_ReflectionPad2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4713547Z test_ReflectionPad3d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4713705Z ok (0.013s) 2022-11-23T02:13:53.4714408Z test_ReflectionPad3d_complex (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4714574Z ok (0.024s) 2022-11-23T02:13:53.4714939Z test_ReflectionPad3d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4715275Z test_ReflectionPad3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4716039Z test_ReflectionPad3d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4716169Z ok (0.012s) 2022-11-23T02:13:53.4716544Z test_ReflectionPad3d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4717245Z test_ReplicationPad1d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4717445Z ok (0.008s) 2022-11-23T02:13:53.4718150Z test_ReplicationPad1d_batch (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4718305Z ok (0.009s) 2022-11-23T02:13:53.4718672Z test_ReplicationPad1d_batch_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4719383Z test_ReplicationPad1d_complex (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4719533Z ok (0.015s) 2022-11-23T02:13:53.4719882Z test_ReplicationPad1d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4720227Z test_ReplicationPad1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4720921Z test_ReplicationPad2d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4721077Z ok (0.009s) 2022-11-23T02:13:53.4721786Z test_ReplicationPad2d_complex (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4721939Z ok (0.016s) 2022-11-23T02:13:53.4722306Z test_ReplicationPad2d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4722652Z test_ReplicationPad2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4723367Z test_ReplicationPad2d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4723523Z ok (0.010s) 2022-11-23T02:13:53.4723879Z test_ReplicationPad2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4724568Z test_ReplicationPad3d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4724719Z ok (0.009s) 2022-11-23T02:13:53.4725417Z test_ReplicationPad3d_complex (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4725567Z ok (0.017s) 2022-11-23T02:13:53.4725942Z test_ReplicationPad3d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4726285Z test_ReplicationPad3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4727043Z test_ReplicationPad3d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4727204Z ok (0.010s) 2022-11-23T02:13:53.4727583Z test_ReplicationPad3d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4728213Z test_SELU (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4728369Z ok (0.009s) 2022-11-23T02:13:53.4728677Z test_SELU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4729411Z test_SELU_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4729567Z ok (0.005s) 2022-11-23T02:13:53.4729909Z test_SELU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4730587Z test_SELU_scalar (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4730745Z ok (0.005s) 2022-11-23T02:13:53.4731068Z test_SELU_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4731301Z test_Sequential_add (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4731567Z test_Sequential_append (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4731833Z test_Sequential_delitem (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4732088Z test_Sequential_extend (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4732347Z test_Sequential_getitem (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4732605Z test_Sequential_iadd (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4732845Z test_Sequential_imul (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4733080Z test_Sequential_insert (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4733358Z test_Sequential_insert_fail_case (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4733601Z test_Sequential_mul (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4733851Z test_Sequential_pop (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4734098Z test_Sequential_rmul (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4734353Z test_Sequential_setitem (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4734631Z test_Sequential_setitem_named (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4735294Z test_SiLU (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4735431Z ok (0.009s) 2022-11-23T02:13:53.4735731Z test_SiLU_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4736422Z test_SiLU_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4736578Z ok (0.005s) 2022-11-23T02:13:53.4736913Z test_SiLU_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4737583Z test_SiLU_scalar (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4737736Z ok (0.005s) 2022-11-23T02:13:53.4738056Z test_SiLU_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4738874Z test_Sigmoid (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4739035Z ok (0.008s) 2022-11-23T02:13:53.4739325Z test_Sigmoid_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4740023Z test_Sigmoid_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4740242Z ok (0.005s) 2022-11-23T02:13:53.4740583Z test_Sigmoid_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4741274Z test_Sigmoid_scalar (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4741426Z ok (0.005s) 2022-11-23T02:13:53.4741751Z test_Sigmoid_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4741958Z test_SmoothL1Loss (__main__.TestNN) ... ok (0.008s) 2022-11-23T02:13:53.4742641Z test_SmoothL1Loss_beta (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4742776Z ok (0.008s) 2022-11-23T02:13:53.4743121Z test_SmoothL1Loss_beta_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4743464Z test_SmoothL1Loss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4743809Z test_SmoothL1Loss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4744151Z test_SmoothL1Loss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4744440Z test_SmoothL1Loss_no_batch_dim_mean (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4744836Z test_SmoothL1Loss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4745217Z test_SmoothL1Loss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4745570Z test_SmoothL1Loss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4745859Z test_SmoothL1Loss_no_batch_dim_none (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4746234Z test_SmoothL1Loss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4746608Z test_SmoothL1Loss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4746985Z test_SmoothL1Loss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4747268Z test_SmoothL1Loss_no_batch_dim_sum (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4747648Z test_SmoothL1Loss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4748027Z test_SmoothL1Loss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4748398Z test_SmoothL1Loss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4749097Z test_SmoothL1Loss_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4749295Z ok (0.008s) 2022-11-23T02:13:53.4749747Z test_SmoothL1Loss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4750469Z test_SmoothL1Loss_no_reduce_scalar (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4750624Z ok (0.005s) 2022-11-23T02:13:53.4750992Z test_SmoothL1Loss_no_reduce_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4751254Z test_SmoothL1Loss_scalar (__main__.TestNN) ... ok (0.007s) 2022-11-23T02:13:53.4751613Z test_SmoothL1Loss_scalar_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4752028Z test_SmoothL1Loss_scalar_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4752382Z test_SmoothL1Loss_scalar_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4752666Z test_SmoothL1Loss_scalar_sum_reduction (__main__.TestNN) ... ok (0.007s) 2022-11-23T02:13:53.4753062Z test_SmoothL1Loss_scalar_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4753449Z test_SmoothL1Loss_scalar_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4753834Z test_SmoothL1Loss_scalar_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4754117Z test_SmoothL1Loss_sum_reduction (__main__.TestNN) ... ok (0.008s) 2022-11-23T02:13:53.4754487Z test_SmoothL1Loss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4754868Z test_SmoothL1Loss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4755241Z test_SmoothL1Loss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4755940Z test_SmoothL1Loss_zero_beta (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4756075Z ok (0.008s) 2022-11-23T02:13:53.4756424Z test_SmoothL1Loss_zero_beta_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4756675Z test_SoftMarginLoss (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4757022Z test_SoftMarginLoss_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4757373Z test_SoftMarginLoss_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4757718Z test_SoftMarginLoss_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4758010Z test_SoftMarginLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4758400Z test_SoftMarginLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4758769Z test_SoftMarginLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4759152Z test_SoftMarginLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4759443Z test_SoftMarginLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4759837Z test_SoftMarginLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4760227Z test_SoftMarginLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4760610Z test_SoftMarginLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4760894Z test_SoftMarginLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4761324Z test_SoftMarginLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4761710Z test_SoftMarginLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4762070Z test_SoftMarginLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4762775Z test_SoftMarginLoss_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4762975Z ok (0.010s) 2022-11-23T02:13:53.4763334Z test_SoftMarginLoss_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4763621Z test_SoftMarginLoss_sum_reduction (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4764006Z test_SoftMarginLoss_sum_reduction_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4764392Z test_SoftMarginLoss_sum_reduction_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4764773Z test_SoftMarginLoss_sum_reduction_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4765429Z test_Softmax (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4765583Z ok (0.009s) 2022-11-23T02:13:53.4766226Z test_Softmax2d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4766381Z ok (0.009s) 2022-11-23T02:13:53.4766703Z test_Softmax2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4767395Z test_Softmax2d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4767543Z ok (0.008s) 2022-11-23T02:13:53.4767891Z test_Softmax2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4768197Z test_Softmax_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4768880Z test_Softmax_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4769034Z ok (0.008s) 2022-11-23T02:13:53.4769358Z test_Softmax_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4770030Z test_Softmax_scalar (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4770184Z ok (0.005s) 2022-11-23T02:13:53.4770512Z test_Softmax_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4771161Z test_Softmin (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4771320Z ok (0.008s) 2022-11-23T02:13:53.4771627Z test_Softmin_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4772349Z test_Softmin_multidim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4772509Z ok (0.010s) 2022-11-23T02:13:53.4772822Z test_Softmin_multidim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4773511Z test_Softmin_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4773663Z ok (0.009s) 2022-11-23T02:13:53.4774002Z test_Softmin_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4774722Z test_Softmin_scalar (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4774877Z ok (0.005s) 2022-11-23T02:13:53.4775210Z test_Softmin_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4775874Z test_Softplus (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4776024Z ok (0.009s) 2022-11-23T02:13:53.4776694Z test_Softplus_beta (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4776835Z ok (0.009s) 2022-11-23T02:13:53.4777160Z test_Softplus_beta_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4777855Z test_Softplus_beta_threshold (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4778012Z ok (0.009s) 2022-11-23T02:13:53.4778361Z test_Softplus_beta_threshold_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4779185Z test_Softplus_beta_threshold_scalar (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4779338Z ok (0.005s) 2022-11-23T02:13:53.4779716Z test_Softplus_beta_threshold_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4780039Z test_Softplus_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4780708Z test_Softplus_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4780863Z ok (0.005s) 2022-11-23T02:13:53.4781207Z test_Softplus_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4781878Z test_Softshrink (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4782031Z ok (0.007s) 2022-11-23T02:13:53.4782352Z test_Softshrink_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4783042Z test_Softshrink_lambda (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4783196Z ok (0.007s) 2022-11-23T02:13:53.4783614Z test_Softshrink_lambda_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4784316Z test_Softshrink_lambda_scalar (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4784451Z ok (0.004s) 2022-11-23T02:13:53.4784809Z test_Softshrink_lambda_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4785497Z test_Softshrink_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4785706Z ok (0.005s) 2022-11-23T02:13:53.4786052Z test_Softshrink_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4786719Z test_Softsign (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4786871Z ok (0.010s) 2022-11-23T02:13:53.4787187Z test_Softsign_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4787871Z test_Softsign_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4788004Z ok (0.007s) 2022-11-23T02:13:53.4788345Z test_Softsign_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4789024Z test_Softsign_scalar (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4789240Z ok (0.007s) 2022-11-23T02:13:53.4789577Z test_Softsign_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4790230Z test_Tanh (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4790388Z ok (0.008s) 2022-11-23T02:13:53.4790688Z test_Tanh_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4791366Z test_Tanh_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4791518Z ok (0.005s) 2022-11-23T02:13:53.4791832Z test_Tanh_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4792492Z test_Tanh_scalar (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4792641Z ok (0.005s) 2022-11-23T02:13:53.4792964Z test_Tanh_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4793626Z test_Tanhshrink (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4793785Z ok (0.009s) 2022-11-23T02:13:53.4794109Z test_Tanhshrink_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4794846Z test_Tanhshrink_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4795004Z ok (0.006s) 2022-11-23T02:13:53.4795328Z test_Tanhshrink_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4796010Z test_Tanhshrink_scalar (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4796163Z ok (0.005s) 2022-11-23T02:13:53.4796554Z test_Tanhshrink_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4797249Z test_Threshold_large_value (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4797405Z ok (0.008s) 2022-11-23T02:13:53.4797758Z test_Threshold_large_value_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4798453Z test_Threshold_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4798609Z ok (0.005s) 2022-11-23T02:13:53.4798933Z test_Threshold_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4799641Z test_Threshold_threshold_value (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4799794Z ok (0.009s) 2022-11-23T02:13:53.4800160Z test_Threshold_threshold_value_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4800882Z test_Threshold_threshold_value_scalar (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4801036Z ok (0.005s) 2022-11-23T02:13:53.4801412Z test_Threshold_threshold_value_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4802169Z test_TransformerDecoderLayer_gelu_activation (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4802324Z ok (0.092s) 2022-11-23T02:13:53.4802738Z test_TransformerDecoderLayer_gelu_activation_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4803495Z test_TransformerDecoderLayer_relu_activation (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4803626Z ok (0.092s) 2022-11-23T02:13:53.4804044Z test_TransformerDecoderLayer_relu_activation_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4804797Z test_TransformerEncoderLayer_gelu_activation (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4804960Z ok (0.048s) 2022-11-23T02:13:53.4805378Z test_TransformerEncoderLayer_gelu_activation_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4806167Z test_TransformerEncoderLayer_relu_activation (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4806327Z ok (0.214s) 2022-11-23T02:13:53.4806732Z test_TransformerEncoderLayer_relu_activation_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4806989Z test_Transformer_cell (__main__.TestNN) ... ok (1.049s) 2022-11-23T02:13:53.4807681Z test_Transformer_multilayer_coder (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4807885Z ok (0.675s) 2022-11-23T02:13:53.4808251Z test_Transformer_multilayer_coder_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4808567Z test_TripletMarginLoss_no_batch_dim_mean (__main__.TestNN) ... ok (0.014s) 2022-11-23T02:13:53.4808979Z test_TripletMarginLoss_no_batch_dim_mean_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4809383Z test_TripletMarginLoss_no_batch_dim_mean_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4809781Z test_TripletMarginLoss_no_batch_dim_mean_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4810086Z test_TripletMarginLoss_no_batch_dim_none (__main__.TestNN) ... ok (0.013s) 2022-11-23T02:13:53.4810496Z test_TripletMarginLoss_no_batch_dim_none_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4810886Z test_TripletMarginLoss_no_batch_dim_none_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4811286Z test_TripletMarginLoss_no_batch_dim_none_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4811599Z test_TripletMarginLoss_no_batch_dim_sum (__main__.TestNN) ... ok (0.013s) 2022-11-23T02:13:53.4812000Z test_TripletMarginLoss_no_batch_dim_sum_cuda_double (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4812396Z test_TripletMarginLoss_no_batch_dim_sum_cuda_float (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4812785Z test_TripletMarginLoss_no_batch_dim_sum_cuda_half (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4813481Z test_Unflatten_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4813643Z ok (0.009s) 2022-11-23T02:13:53.4813990Z test_Unflatten_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4814659Z test_Unfold (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4814789Z ok (0.007s) 2022-11-23T02:13:53.4815100Z test_Unfold_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4815773Z test_Unfold_int_input (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4815929Z ok (0.007s) 2022-11-23T02:13:53.4816269Z test_Unfold_int_input_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4816984Z test_ZeroPad2d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4817140Z ok (0.009s) 2022-11-23T02:13:53.4817822Z test_ZeroPad2d_complex (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4817974Z ok (0.017s) 2022-11-23T02:13:53.4818299Z test_ZeroPad2d_complex_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4818623Z test_ZeroPad2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4819432Z test_ZeroPad2d_negative_dims (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4819661Z ok (0.008s) 2022-11-23T02:13:53.4820024Z test_ZeroPad2d_negative_dims_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4820725Z test_ZeroPad2d_no_batch_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4820880Z ok (0.010s) 2022-11-23T02:13:53.4821236Z test_ZeroPad2d_no_batch_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4821506Z test_adaptive_log_softmax (__main__.TestNN) ... ok (0.017s) 2022-11-23T02:13:53.4821723Z test_add_module (__main__.TestNN) ... ok (0.003s) 2022-11-23T02:13:53.4822034Z test_add_module_raises_error_if_attr_exists (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4822282Z test_affine_grid (__main__.TestNN) ... ok (0.007s) 2022-11-23T02:13:53.4822532Z test_affine_grid_3d (__main__.TestNN) ... ok (0.009s) 2022-11-23T02:13:53.4822808Z test_affine_grid_error_checking (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4823049Z test_assignment (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4823331Z test_backward_hooks_interaction (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4823668Z test_batchnorm_buffer_update_when_stats_are_not_tracked (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4823963Z test_batchnorm_cudnn_half (__main__.TestNN) ... skip: CUDA unavailable (0.007s) 2022-11-23T02:13:53.4824276Z test_batchnorm_cudnn_nhwc (__main__.TestNN) ... skip: CUDA unavailable (0.002s) 2022-11-23T02:13:53.4824543Z test_batchnorm_nhwc_cpu (__main__.TestNN) ... ok (0.020s) 2022-11-23T02:13:53.4824863Z test_batchnorm_nhwc_cuda (__main__.TestNN) ... skip: CUDA not available (0.001s) 2022-11-23T02:13:53.4825138Z test_batchnorm_non_contig_cpu (__main__.TestNN) ... ok (0.003s) 2022-11-23T02:13:53.4825497Z test_batchnorm_nonaffine_cuda_half_input (__main__.TestNN) ... skip: CUDA unavailable (0.001s) 2022-11-23T02:13:53.4825846Z test_batchnorm_raises_error_if_bias_is_not_same_size_as_input (__main__.TestNN) ... ok (0.008s) 2022-11-23T02:13:53.4826200Z test_batchnorm_raises_error_if_less_than_one_value_per_channel (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4826535Z test_batchnorm_raises_error_if_running_mean_is_not_same_size_as_input (__main__.TestNN) ... ok (0.008s) 2022-11-23T02:13:53.4826905Z test_batchnorm_raises_error_if_running_var_is_not_same_size_as_input (__main__.TestNN) ... ok (0.008s) 2022-11-23T02:13:53.4827297Z test_batchnorm_raises_error_if_running_var_or_running_mean_have_forward_grad (__main__.TestNN) ... ok (0.013s) 2022-11-23T02:13:53.4827652Z test_batchnorm_raises_error_if_weight_is_not_same_size_as_input (__main__.TestNN) ... ok (0.008s) 2022-11-23T02:13:53.4827935Z test_bce_loss_always_nonnegative (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4828218Z test_bce_loss_broadcasts_weights (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4828479Z test_bce_loss_input_range (__main__.TestNN) ... ok (0.011s) 2022-11-23T02:13:53.4828865Z test_bce_loss_size_mismatch (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4829203Z test_bce_with_logits_broadcasts_pos_weights (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4829516Z test_bce_with_logits_broadcasts_weights (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4829868Z test_bce_with_logits_gives_same_result_as_sigmoid_and_bce_loss (__main__.TestNN) ... ok (0.003s) 2022-11-23T02:13:53.4830279Z test_bce_with_logits_gives_same_result_as_sigmoid_and_bce_loss_large_tensors_with_grad (__main__.TestNN) ... ok (0.042s) 2022-11-23T02:13:53.4830592Z test_bce_with_logits_has_correct_forward_grad (__main__.TestNN) ... ok (0.015s) 2022-11-23T02:13:53.4830954Z test_bce_with_logits_has_correct_grad_at_zero (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4831307Z test_bce_with_logits_ones_in_pos_weights_are_the_same_as_none (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4831674Z test_bce_with_logits_raises_if_target_and_input_are_different_size (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4831953Z test_bce_with_logits_stability (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4832282Z test_bce_with_logits_with_pos_weight_has_correct_grad_at_zero (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4832514Z test_bilinear (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4832790Z test_bilinear_broadcasting (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4833040Z test_bilinear_no_bias (__main__.TestNN) ... ok (0.050s) 2022-11-23T02:13:53.4833315Z test_bilinear_non_contiguous (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4834035Z test_broadcast_double_backwards_gpu (__main__.TestNN) ... skip: multi-GPU not supported (0.001s) 2022-11-23T02:13:53.4834536Z test_broadcast_no_grad (__main__.TestNN) ... skip: multi-GPU not supported (0.001s) 2022-11-23T02:13:53.4835080Z test_broadcast_not_requiring_grad (__main__.TestNN) ... skip: multi-GPU not supported (0.001s) 2022-11-23T02:13:53.4835335Z test_buffer_not_persistent (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4835618Z test_buffer_not_persistent_assign (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4835892Z test_buffer_not_persistent_del (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4836173Z test_buffer_not_persistent_load (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4836465Z test_buffer_not_persistent_overwrite (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4836736Z test_buffers_and_named_buffers (__main__.TestNN) ... ok (0.003s) 2022-11-23T02:13:53.4836985Z test_caching_parametrization (__main__.TestNN) 2022-11-23T02:13:53.4837259Z Test the caching system of a parametrization ... ok (0.002s) 2022-11-23T02:13:53.4837606Z test_caching_parametrization_with_transfer_parametrizations_and_params (__main__.TestNN) 2022-11-23T02:13:53.4838131Z Test that transferring parametrizations doesn't cause issues with caching ... ok (0.003s) 2022-11-23T02:13:53.4839805Z test_call_supports_python_dict_output (__main__.TestNN) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py:1284: UserWarning: Using non-full backward hooks on a Module that does not return a single Tensor or a tuple of Tensors is deprecated and will be removed in future versions. This hook will be missing some of the grad_output. Please use register_full_backward_hook to get the documented behavior. 2022-11-23T02:13:53.4840301Z warnings.warn("Using non-full backward hooks on a Module that does not return a " 2022-11-23T02:13:53.4840456Z ok (0.002s) 2022-11-23T02:13:53.4840707Z test_channel_shuffle (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4840986Z test_channel_shuffle_return_self (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4841221Z test_children (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4841445Z test_clip_grad_norm (__main__.TestNN) ... ok (0.012s) 2022-11-23T02:13:53.4841693Z test_clip_grad_value (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4841933Z test_compute_nparams_to_prune (__main__.TestNN) 2022-11-23T02:13:53.4842300Z Test that requested pruning `amount` gets translated into the ... ok (0.001s) 2022-11-23T02:13:53.4842547Z test_container_copy (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4842868Z test_convert_sync_batchnorm (__main__.TestNN) ... skip: CUDA not available (0.001s) 2022-11-23T02:13:53.4843170Z test_cosine_embedding_loss_invalid_shape (__main__.TestNN) ... ok (0.008s) 2022-11-23T02:13:53.4843474Z test_cosine_embedding_loss_margin_no_reduce (__main__.TestNN) ... ok (0.010s) 2022-11-23T02:13:53.4843741Z test_cosine_embedding_loss_no_reduce (__main__.TestNN) ... ok (0.010s) 2022-11-23T02:13:53.4844047Z test_cosine_embedding_loss_with_diff_type (__main__.TestNN) ... ok (0.047s) 2022-11-23T02:13:53.4844358Z test_cosine_similarity (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4844615Z test_cross_entropy_loss (__main__.TestNN) ... ok (0.003s) 2022-11-23T02:13:53.4844904Z test_cross_entropy_loss_precision (__main__.TestNN) ... ok (3.496s) 2022-11-23T02:13:53.4845184Z test_cross_entropy_loss_zero_div (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4845763Z test_cudnn_rnn_dropout_states_device (__main__.TestNN) ... skip: CUDNN or multi-gpu not available (0.001s) 2022-11-23T02:13:53.4846083Z test_cudnn_weight_format (__main__.TestNN) ... skip: CUDNN not available (0.002s) 2022-11-23T02:13:53.4846382Z test_cudnn_weight_tying (__main__.TestNN) ... skip: CUDNN not available (0.002s) 2022-11-23T02:13:53.4846617Z test_custom_from_mask_pruning (__main__.TestNN) 2022-11-23T02:13:53.4846911Z Test that the CustomFromMask is capable of receiving ... ok (0.002s) 2022-11-23T02:13:53.4847178Z test_deepcopy_after_parametrization (__main__.TestNN) 2022-11-23T02:13:53.4847727Z Test that we are able to create a deepcopy of the module when it's parametrized. ... ok (0.009s) 2022-11-23T02:13:53.4847940Z test_dir (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4848172Z test_dir_digit (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4848439Z test_elu_inplace_gradgrad (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4848676Z test_elu_inplace_on_view (__main__.TestNN) ... ok (0.006s) 2022-11-23T02:13:53.4848933Z test_error_RNN_seq_len_zero (__main__.TestNN) ... ok (0.020s) 2022-11-23T02:13:53.4849271Z test_errors_parametrized_tensor_parametrization (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4849609Z test_errors_unparametrized_tensor_parametrization (__main__.TestNN) ... ok (0.007s) 2022-11-23T02:13:53.4849845Z test_extra_state (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4850142Z test_extra_state_missing_get_extra_state (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4850440Z test_extra_state_missing_set_extra_state (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4850692Z test_extra_state_non_dict (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4851415Z test_fb_fc_packed (__main__.TestNN) ... test_nn.py:5090: UserWarning: fbgemm_pack_gemm_matrix_fp16 is deprecated and will be removed in a future PyTorch release. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/QuantizedLinear.cpp:382.) 2022-11-23T02:13:53.4851701Z packed_w_tensor = torch.fbgemm_pack_gemm_matrix_fp16(w_tensor) 2022-11-23T02:13:53.4852390Z test_nn.py:5091: UserWarning: fbgemm_linear_fp16_weight_fp32_activation is deprecated and will be removed in a future PyTorch release. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/QuantizedLinear.cpp:417.) 2022-11-23T02:13:53.4852727Z actual_output = torch.fbgemm_linear_fp16_weight(x_tensor, packed_w_tensor, b_tensor) 2022-11-23T02:13:53.4852875Z ok (0.002s) 2022-11-23T02:13:53.4853106Z test_flatten (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4853355Z test_fold_invalid_arg (__main__.TestNN) ... ok (0.028s) 2022-11-23T02:13:53.4853618Z test_gaussian_nll_loss_args (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4853886Z test_gaussian_nll_loss_broadcasting (__main__.TestNN) ... ok (0.003s) 2022-11-23T02:13:53.4854160Z test_get_buffer (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4854448Z test_get_buffer_from_submodules (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4854757Z test_getattr_with_property (__main__.TestNN) ... expected failure (0.001s) 2022-11-23T02:13:53.4854969Z test_global_pruning (__main__.TestNN) 2022-11-23T02:13:53.4855312Z Test that global l1 unstructured pruning over 2 parameters removes ... ok (0.003s) 2022-11-23T02:13:53.4855585Z test_global_pruning_importance_scores (__main__.TestNN) 2022-11-23T02:13:53.4855929Z Test that global l1 unstructured pruning over 2 parameters removes ... ok (0.003s) 2022-11-23T02:13:53.4856201Z test_grid_sample (__main__.TestNN) ... ok (1.069s) 2022-11-23T02:13:53.4856446Z test_grid_sample_3d (__main__.TestNN) ... ok (0.106s) 2022-11-23T02:13:53.4857895Z test_grid_sample_error_checking (__main__.TestNN) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:4232: UserWarning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details. 2022-11-23T02:13:53.4858186Z "Default grid_sample and affine_grid behavior has changed " 2022-11-23T02:13:53.4858337Z ok (0.034s) 2022-11-23T02:13:53.4858598Z test_hardtanh_backward (__main__.TestNN) ... ok (0.083s) 2022-11-23T02:13:53.4858982Z test_hardtanh_inplace_gradgrad (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4859246Z test_hook_backward_size (__main__.TestNN) ... ok (0.003s) 2022-11-23T02:13:53.4860172Z test_hook_backward_writeable (__main__.TestNN) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead. 2022-11-23T02:13:53.4860522Z warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.") 2022-11-23T02:13:53.4861917Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py:1319: UserWarning: Using a non-full backward hook when the forward contains multiple autograd Nodes is deprecated and will be removed in future versions. This hook will be missing some grad_input. Please use register_full_backward_hook to get the documented behavior. 2022-11-23T02:13:53.4862474Z warnings.warn("Using a non-full backward hook when the forward contains multiple autograd Nodes " 2022-11-23T02:13:53.4862627Z ok (0.002s) 2022-11-23T02:13:53.4862905Z test_hook_buffer_registration (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4863141Z test_hook_cpp (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4863397Z test_hook_extra_input (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4863705Z test_hook_forward_preforward_writable (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4863942Z test_hook_inplace (__main__.TestNN) ... ok (0.025s) 2022-11-23T02:13:53.4864183Z test_hook_invalid_outputs (__main__.TestNN) ... ok (0.003s) 2022-11-23T02:13:53.4864464Z test_hook_last_arg_requires_grad (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4864730Z test_hook_no_requires_grad (__main__.TestNN) ... ok (0.003s) 2022-11-23T02:13:53.4864987Z test_hook_non_full_warning (__main__.TestNN) ... ok (0.010s) 2022-11-23T02:13:53.4865275Z test_hook_parameter_registration (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4865530Z test_hook_requires_grad (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4865819Z test_hook_submodule_registration (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4867290Z test_hooks (__main__.TestNN) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py:1319: UserWarning: Using a non-full backward hook when the forward contains multiple autograd Nodes is deprecated and will be removed in future versions. This hook will be missing some grad_input. Please use register_full_backward_hook to get the documented behavior. 2022-11-23T02:13:53.4867848Z warnings.warn("Using a non-full backward hook when the forward contains multiple autograd Nodes " 2022-11-23T02:13:53.4868065Z ok (0.017s) 2022-11-23T02:13:53.4868345Z test_huber_loss_invalid_delta (__main__.TestNN) ... ok (0.009s) 2022-11-23T02:13:53.4868565Z test_identity_pruning (__main__.TestNN) 2022-11-23T02:13:53.4868865Z Test that a mask of 1s does not change forward or backward. ... ok (0.003s) 2022-11-23T02:13:53.4869202Z test_initialization_parametrization (__main__.TestNN) 2022-11-23T02:13:53.4869536Z Test that it is possible to initialize a parametrization when it ... ok (0.006s) 2022-11-23T02:13:53.4869781Z test_inplace_thnn (__main__.TestNN) ... ok (0.003s) 2022-11-23T02:13:53.4870004Z test_interpolate (__main__.TestNN) ... ok (0.143s) 2022-11-23T02:13:53.4870780Z test_interpolate_bicubic_2d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4870937Z ok (0.008s) 2022-11-23T02:13:53.4871304Z test_interpolate_bicubic_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4872027Z test_interpolate_bicubic_2d_zero_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4872181Z ok (0.007s) 2022-11-23T02:13:53.4872559Z test_interpolate_bicubic_2d_zero_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4873279Z test_interpolate_bicubic_scale_2d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4873440Z ok (0.008s) 2022-11-23T02:13:53.4873815Z test_interpolate_bicubic_scale_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4874547Z test_interpolate_bicubic_scale_tuple_shared_2d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4874702Z ok (0.008s) 2022-11-23T02:13:53.4875103Z test_interpolate_bicubic_scale_tuple_shared_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4875850Z test_interpolate_bicubic_scale_tuple_skewed_2d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4876009Z ok (0.007s) 2022-11-23T02:13:53.4876783Z test_interpolate_bicubic_scale_tuple_skewed_2d_align_corners (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4876937Z ok (0.007s) 2022-11-23T02:13:53.4877366Z test_interpolate_bicubic_scale_tuple_skewed_2d_align_corners_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4877761Z test_interpolate_bicubic_scale_tuple_skewed_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4878467Z test_interpolate_bicubic_tuple_2d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4878597Z ok (0.007s) 2022-11-23T02:13:53.4879384Z test_interpolate_bicubic_tuple_2d_align_corners (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4879537Z ok (0.007s) 2022-11-23T02:13:53.4879931Z test_interpolate_bicubic_tuple_2d_align_corners_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4880295Z test_interpolate_bicubic_tuple_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4880988Z test_interpolate_bilinear_2d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4881141Z ok (0.007s) 2022-11-23T02:13:53.4881562Z test_interpolate_bilinear_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4882277Z test_interpolate_bilinear_2d_zero_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4882428Z ok (0.006s) 2022-11-23T02:13:53.4882788Z test_interpolate_bilinear_2d_zero_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4883504Z test_interpolate_bilinear_scale_2d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4883659Z ok (0.007s) 2022-11-23T02:13:53.4884031Z test_interpolate_bilinear_scale_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4884780Z test_interpolate_bilinear_scale_tuple_shared_2d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4884932Z ok (0.007s) 2022-11-23T02:13:53.4885340Z test_interpolate_bilinear_scale_tuple_shared_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4886064Z test_interpolate_bilinear_scale_tuple_skewed_2d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4886216Z ok (0.007s) 2022-11-23T02:13:53.4886992Z test_interpolate_bilinear_scale_tuple_skewed_2d_align_corners (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4887127Z ok (0.007s) 2022-11-23T02:13:53.4887566Z test_interpolate_bilinear_scale_tuple_skewed_2d_align_corners_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4887973Z test_interpolate_bilinear_scale_tuple_skewed_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4888689Z test_interpolate_bilinear_tuple_2d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4888844Z ok (0.007s) 2022-11-23T02:13:53.4889600Z test_interpolate_bilinear_tuple_2d_align_corners (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4889762Z ok (0.007s) 2022-11-23T02:13:53.4890166Z test_interpolate_bilinear_tuple_2d_align_corners_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4890584Z test_interpolate_bilinear_tuple_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4890945Z test_interpolate_illegal_memory_access (__main__.TestNN) ... skip: CUDA unavailable (0.001s) 2022-11-23T02:13:53.4891623Z test_interpolate_linear_1d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4891774Z ok (0.007s) 2022-11-23T02:13:53.4892500Z test_interpolate_linear_1d_align_corners (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4892708Z ok (0.007s) 2022-11-23T02:13:53.4893096Z test_interpolate_linear_1d_align_corners_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4893444Z test_interpolate_linear_1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4894157Z test_interpolate_linear_1d_zero_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4894313Z ok (0.006s) 2022-11-23T02:13:53.4894685Z test_interpolate_linear_1d_zero_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4895383Z test_interpolate_linear_scale_1d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4895521Z ok (0.007s) 2022-11-23T02:13:53.4896266Z test_interpolate_linear_scale_1d_align_corners (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4896419Z ok (0.007s) 2022-11-23T02:13:53.4896817Z test_interpolate_linear_scale_1d_align_corners_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4897181Z test_interpolate_linear_scale_1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4897885Z test_interpolate_linear_tuple_1d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4898040Z ok (0.007s) 2022-11-23T02:13:53.4898398Z test_interpolate_linear_tuple_1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4899190Z test_interpolate_nearest_1d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4899352Z ok (0.006s) 2022-11-23T02:13:53.4899683Z test_interpolate_nearest_1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4900397Z test_interpolate_nearest_1d_zero_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4900552Z ok (0.006s) 2022-11-23T02:13:53.4900931Z test_interpolate_nearest_1d_zero_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4901695Z test_interpolate_nearest_2d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4901854Z ok (0.007s) 2022-11-23T02:13:53.4902209Z test_interpolate_nearest_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4902940Z test_interpolate_nearest_2d_launch_configs (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4903097Z ok (0.007s) 2022-11-23T02:13:53.4903465Z test_interpolate_nearest_2d_launch_configs_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4904237Z test_interpolate_nearest_2d_zero_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4904393Z ok (0.006s) 2022-11-23T02:13:53.4904769Z test_interpolate_nearest_2d_zero_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4905461Z test_interpolate_nearest_3d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4905612Z ok (0.009s) 2022-11-23T02:13:53.4905965Z test_interpolate_nearest_3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4906678Z test_interpolate_nearest_3d_zero_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4906838Z ok (0.006s) 2022-11-23T02:13:53.4907208Z test_interpolate_nearest_3d_zero_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4907918Z test_interpolate_nearest_scale_1d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4908049Z ok (0.006s) 2022-11-23T02:13:53.4908419Z test_interpolate_nearest_scale_1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4909128Z test_interpolate_nearest_scale_2d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4909338Z ok (0.007s) 2022-11-23T02:13:53.4909708Z test_interpolate_nearest_scale_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4910427Z test_interpolate_nearest_scale_3d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4910583Z ok (0.012s) 2022-11-23T02:13:53.4910961Z test_interpolate_nearest_scale_3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4911664Z test_interpolate_nearest_tuple_1d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4911799Z ok (0.006s) 2022-11-23T02:13:53.4912164Z test_interpolate_nearest_tuple_1d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4912949Z test_interpolate_nearest_tuple_2d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4913108Z ok (0.007s) 2022-11-23T02:13:53.4913473Z test_interpolate_nearest_tuple_2d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4914182Z test_interpolate_nearest_tuple_3d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4914334Z ok (0.010s) 2022-11-23T02:13:53.4914703Z test_interpolate_nearest_tuple_3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4915452Z test_interpolate_trilinear_3d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4915607Z ok (0.010s) 2022-11-23T02:13:53.4915945Z test_interpolate_trilinear_3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4916667Z test_interpolate_trilinear_3d_zero_dim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4916831Z ok (0.006s) 2022-11-23T02:13:53.4917216Z test_interpolate_trilinear_3d_zero_dim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4917937Z test_interpolate_trilinear_scale_3d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4918094Z ok (0.010s) 2022-11-23T02:13:53.4918847Z test_interpolate_trilinear_scale_3d_align_corners (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4919002Z ok (0.009s) 2022-11-23T02:13:53.4919410Z test_interpolate_trilinear_scale_3d_align_corners_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4919790Z test_interpolate_trilinear_scale_3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4920481Z test_interpolate_trilinear_tuple_3d (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4920638Z ok (0.008s) 2022-11-23T02:13:53.4921384Z test_interpolate_trilinear_tuple_3d_align_corners (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4921539Z ok (0.008s) 2022-11-23T02:13:53.4921943Z test_interpolate_trilinear_tuple_3d_align_corners_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4922314Z test_interpolate_trilinear_tuple_3d_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4922585Z test_kl_div_log_softmax_target (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4924174Z test_kl_div_with_diff_type (__main__.TestNN) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2921: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-11-23T02:13:53.4924735Z "reduction: 'mean' divides the total loss by both the batch size and the support size." 2022-11-23T02:13:53.4924896Z ok (0.002s) 2022-11-23T02:13:53.4925170Z test_kl_div_with_diff_type_log_target (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4925419Z test_l1_loss_correct (__main__.TestNN) ... ok (10.168s) 2022-11-23T02:13:53.4925662Z test_l1_unstructured_pruning (__main__.TestNN) 2022-11-23T02:13:53.4925993Z Test that l1 unstructured pruning actually removes the lowest ... ok (0.003s) 2022-11-23T02:13:53.4926301Z test_l1_unstructured_pruning_with_importance_scores (__main__.TestNN) 2022-11-23T02:13:53.4926624Z Test that l1 unstructured pruning actually removes the lowest ... ok (0.002s) 2022-11-23T02:13:53.4926983Z test_layer_norm_grads_with_create_graph_flag (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4927314Z test_linear_autograd_device_cpu_bias_weightCOO (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4928360Z test_linear_autograd_device_cpu_bias_weightCSC (__main__.TestNN) ... test_nn.py:9899: UserWarning: Sparse CSC tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:56.) 2022-11-23T02:13:53.4928648Z module.weight = nn.Parameter(module.weight.to_sparse_csc()) 2022-11-23T02:13:53.4928801Z ok (0.004s) 2022-11-23T02:13:53.4929128Z test_linear_autograd_device_cpu_bias_weightCSR (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4929469Z test_linear_autograd_device_cpu_bias_weightStrided (__main__.TestNN) ... ok (0.003s) 2022-11-23T02:13:53.4929798Z test_linear_autograd_device_cpu_nobias_weightCOO (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4930122Z test_linear_autograd_device_cpu_nobias_weightCSC (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4930436Z test_linear_autograd_device_cpu_nobias_weightCSR (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4930782Z test_linear_autograd_device_cpu_nobias_weightStrided (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4931025Z test_linear_broadcasting (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4931267Z test_ln_structured_pruning (__main__.TestNN) 2022-11-23T02:13:53.4931527Z Check Ln structured pruning by hand. ... ok (0.002s) 2022-11-23T02:13:53.4931811Z test_ln_structured_pruning_importance_scores (__main__.TestNN) 2022-11-23T02:13:53.4932062Z Check Ln structured pruning by hand. ... ok (0.002s) 2022-11-23T02:13:53.4932314Z test_load_state_dict (__main__.TestNN) ... ok (0.009s) 2022-11-23T02:13:53.4932568Z test_load_state_dict_BC (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4932815Z test_load_state_dict_child (__main__.TestNN) ... ok (0.202s) 2022-11-23T02:13:53.4933082Z test_load_state_dict_custom (__main__.TestNN) ... ok (0.003s) 2022-11-23T02:13:53.4933349Z test_load_state_dict_invalid (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4933621Z test_load_state_dict_ref_cycle (__main__.TestNN) ... ok (0.149s) 2022-11-23T02:13:53.4933891Z test_load_state_dict_type (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4934135Z test_log_softmax_cpu (__main__.TestNN) ... ok (0.008s) 2022-11-23T02:13:53.4934829Z test_log_softmax_dim0 (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4934989Z ok (0.008s) 2022-11-23T02:13:53.4935324Z test_log_softmax_dim0_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4935986Z test_log_softmax_dim3 (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4936142Z ok (0.008s) 2022-11-23T02:13:53.4936523Z test_log_softmax_dim3_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4937219Z test_log_softmax_lastdim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4937371Z ok (0.008s) 2022-11-23T02:13:53.4937710Z test_log_softmax_lastdim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4938391Z test_log_softmax_scalar (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4938594Z ok (0.004s) 2022-11-23T02:13:53.4939072Z test_log_softmax_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4939748Z test_log_softmax_spatial (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4939904Z ok (0.009s) 2022-11-23T02:13:53.4940251Z test_log_softmax_spatial_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4940965Z test_log_softmax_spatial_special (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4941120Z ok (0.010s) 2022-11-23T02:13:53.4941502Z test_log_softmax_spatial_special_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4942264Z test_loss_equal_input_target_shape (__main__.TestNN) ... test_nn.py:6136: UserWarning: Using a target size (torch.Size([5, 3])) that is different to the input size (torch.Size([3, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T02:13:53.4942605Z 'mse_loss': lambda x, y: F.mse_loss(x, y), 2022-11-23T02:13:53.4943246Z test_nn.py:6137: UserWarning: Using a target size (torch.Size([5, 3])) that is different to the input size (torch.Size([3, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T02:13:53.4943563Z 'l1_loss': lambda x, y: F.l1_loss(x, y), 2022-11-23T02:13:53.4944193Z test_nn.py:6138: UserWarning: Using a target size (torch.Size([5, 3])) that is different to the input size (torch.Size([3, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T02:13:53.4944551Z 'smooth_l1_loss': lambda x, y: F.smooth_l1_loss(x, y), 2022-11-23T02:13:53.4945179Z test_nn.py:6139: UserWarning: Using a target size (torch.Size([5, 3])) that is different to the input size (torch.Size([3, 5])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T02:13:53.4945522Z 'huber_loss': lambda x, y: F.huber_loss(x, y), 2022-11-23T02:13:53.4946897Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2921: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-11-23T02:13:53.4947399Z "reduction: 'mean' divides the total loss by both the batch size and the support size." 2022-11-23T02:13:53.4947553Z ok (0.023s) 2022-11-23T02:13:53.4947854Z test_margin_ranking_loss_margin_no_reduce (__main__.TestNN) ... ok (0.003s) 2022-11-23T02:13:53.4948136Z test_margin_ranking_loss_no_reduce (__main__.TestNN) ... ok (0.003s) 2022-11-23T02:13:53.4948408Z test_module_apply_inplace_op (__main__.TestNN) ... ok (0.012s) 2022-11-23T02:13:53.4948722Z test_module_backcompat (__main__.TestNN) ... ok (0.074s) 2022-11-23T02:13:53.4948985Z test_module_to_argparse (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4949274Z test_modules (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4949540Z test_mse_loss_size_warning (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4949881Z test_multihead_attention_average_attn_weights_False (__main__.TestNN) ... ok (2.679s) 2022-11-23T02:13:53.4950214Z test_multihead_attention_average_attn_weights_True (__main__.TestNN) ... ok (2.835s) 2022-11-23T02:13:53.4950497Z test_multihead_attn_3d_attn_mask (__main__.TestNN) ... ok (0.009s) 2022-11-23T02:13:53.4950878Z test_multihead_attn_fast_path_invalid_shape (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4951145Z test_multihead_attn_invalid_shape (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4951960Z test_multihead_attn_nested_tensor_outside_fast_path (__main__.TestNN) ... test_nn.py:5598: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:179.) 2022-11-23T02:13:53.4952237Z nt = torch.nested.nested_tensor([torch.randn(4, 4)]) 2022-11-23T02:13:53.4952394Z ok (0.004s) 2022-11-23T02:13:53.4952665Z test_multihead_attn_no_bias (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4953413Z test_multimarginloss_1d_input_0d_target_no_reduce (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.4953571Z ok (0.004s) 2022-11-23T02:13:53.4953955Z test_multimarginloss_1d_input_0d_target_no_reduce_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.4954251Z test_multiple_inputs_parametrization (__main__.TestNN) ... ok (0.009s) 2022-11-23T02:13:53.4954501Z test_multiple_pruning_calls (__main__.TestNN) ... ok (0.003s) 2022-11-23T02:13:53.4954752Z test_named_children (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4954992Z test_named_modules (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4955289Z test_named_parameters_remove_duplicate (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4955555Z test_nested_tensor_from_mask (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4955841Z test_nested_tensor_from_mask_error (__main__.TestNN) ... ok (0.020s) 2022-11-23T02:13:53.4956097Z test_new_spectral_norm (__main__.TestNN) ... ok (0.053s) 2022-11-23T02:13:53.4956366Z test_new_spectral_norm_dim (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4956628Z test_new_spectral_norm_forward (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4956916Z test_new_spectral_norm_load_state_dict (__main__.TestNN) ... ok (0.021s) 2022-11-23T02:13:53.4957142Z test_no_grad (__main__.TestNN) ... ok (0.010s) 2022-11-23T02:13:53.4957407Z test_non_leaf_parameters (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4957642Z test_normalize (__main__.TestNN) ... ok (0.007s) 2022-11-23T02:13:53.4957897Z test_orthogonal_errors (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4958189Z test_orthogonal_parametrization (__main__.TestNN) ... ok (0.211s) 2022-11-23T02:13:53.4958477Z test_overwrite_module_params_on_conversion (__main__.TestNN) ... ok (0.016s) 2022-11-23T02:13:53.4958829Z test_pack_sequence_batch_sizes_throw (__main__.TestNN) ... skip: CUDA not available (0.001s) 2022-11-23T02:13:53.4959077Z test_pad_scalar_error (__main__.TestNN) ... ok (0.006s) 2022-11-23T02:13:53.4959320Z test_padding_list (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4959582Z test_pairwise_distance (__main__.TestNN) ... ok (0.003s) 2022-11-23T02:13:53.4959846Z test_parameter_assignment (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4960126Z test_parameterlistdict_pickle (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4960496Z test_parameterlistdict_setting_attributes (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4960782Z test_parameters_and_named_parameters (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4961048Z test_parameters_to_vector (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4961324Z test_parametrization_same_training_mode (__main__.TestNN) 2022-11-23T02:13:53.4961652Z Test training mode updated on parametrization registration ... ok (0.001s) 2022-11-23T02:13:53.4961880Z test_parse_to (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4962203Z test_partial_flat_weights (__main__.TestNN) ... skip: CUDA not available (0.001s) 2022-11-23T02:13:53.4962423Z test_pdist (__main__.TestNN) ... ok (0.017s) 2022-11-23T02:13:53.4962814Z test_pdist_cpu_gradgrad_unimplemented (__main__.TestNN) ... expected failure (0.008s) 2022-11-23T02:13:53.4963145Z test_pdist_cuda_gradgrad_unimplemented (__main__.TestNN) ... expected failure (0.001s) 2022-11-23T02:13:53.4963398Z test_pdist_empty_col (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4963647Z test_pdist_empty_row (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4963885Z test_pdist_large (__main__.TestNN) ... ok (0.015s) 2022-11-23T02:13:53.4964092Z test_pdist_zeros (__main__.TestNN) 2022-11-23T02:13:53.4964355Z Test that grad is still valid when dist is 0 ... ok (0.009s) 2022-11-23T02:13:53.4964621Z test_pixel_shuffle_nhwc_cpu (__main__.TestNN) ... ok (0.003s) 2022-11-23T02:13:53.4964869Z test_pixel_shuffle_unshuffle (__main__.TestNN) ... ok (0.500s) 2022-11-23T02:13:53.4965620Z test_pointwise_loss_broadcast (__main__.TestNN) ... test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T02:13:53.4966024Z 'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r), 2022-11-23T02:13:53.4966667Z test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T02:13:53.4967051Z 'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r), 2022-11-23T02:13:53.4967696Z test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T02:13:53.4968073Z 'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r), 2022-11-23T02:13:53.4968709Z test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T02:13:53.4969093Z 'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r), 2022-11-23T02:13:53.4969728Z test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T02:13:53.4970111Z 'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r), 2022-11-23T02:13:53.4970720Z test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T02:13:53.4971098Z 'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r), 2022-11-23T02:13:53.4971739Z test_nn.py:8751: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T02:13:53.4972127Z 'mse_loss': lambda x, y, r: F.mse_loss(x, y, reduction=r), 2022-11-23T02:13:53.4972805Z test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T02:13:53.4973181Z 'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r), 2022-11-23T02:13:53.4973812Z test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T02:13:53.4974177Z 'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r), 2022-11-23T02:13:53.4974849Z test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T02:13:53.4975217Z 'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r), 2022-11-23T02:13:53.4975840Z test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T02:13:53.4976189Z 'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r), 2022-11-23T02:13:53.4976819Z test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T02:13:53.4977185Z 'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r), 2022-11-23T02:13:53.4977812Z test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T02:13:53.4978178Z 'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r), 2022-11-23T02:13:53.4978904Z test_nn.py:8752: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T02:13:53.4979283Z 'l1_loss': lambda x, y, r: F.l1_loss(x, y, reduction=r), 2022-11-23T02:13:53.4979913Z test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T02:13:53.4980337Z 'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r), 2022-11-23T02:13:53.4980973Z test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T02:13:53.4981415Z 'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r), 2022-11-23T02:13:53.4982023Z test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T02:13:53.4982455Z 'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r), 2022-11-23T02:13:53.4983080Z test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T02:13:53.4983504Z 'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r), 2022-11-23T02:13:53.4984142Z test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T02:13:53.4984650Z 'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r), 2022-11-23T02:13:53.4985277Z test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T02:13:53.4985689Z 'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r), 2022-11-23T02:13:53.4986307Z test_nn.py:8753: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T02:13:53.4986782Z 'smooth_l1_loss': lambda x, y, r: F.smooth_l1_loss(x, y, reduction=r), 2022-11-23T02:13:53.4987415Z test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T02:13:53.4987814Z 'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r), 2022-11-23T02:13:53.4988418Z test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T02:13:53.4988813Z 'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r), 2022-11-23T02:13:53.4989494Z test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T02:13:53.4989887Z 'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r), 2022-11-23T02:13:53.4990502Z test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T02:13:53.4990897Z 'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r), 2022-11-23T02:13:53.4991520Z test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T02:13:53.4991913Z 'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r), 2022-11-23T02:13:53.4992532Z test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T02:13:53.4992927Z 'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r), 2022-11-23T02:13:53.4993559Z test_nn.py:8754: UserWarning: Using a target size (torch.Size([2, 10])) that is different to the input size (torch.Size([2, 1])). This will likely lead to incorrect results due to broadcasting. Please ensure they have the same size. 2022-11-23T02:13:53.4993924Z 'huber_loss': lambda x, y, r: F.huber_loss(x, y, reduction=r), 2022-11-23T02:13:53.4994079Z ok (0.040s) 2022-11-23T02:13:53.4994398Z test_pointwise_loss_target_grad_none_reduction (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4994692Z test_poisson_nll_loss_reduction_modes (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4994984Z test_projections_errors_on_gru_and_rnn (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4995271Z test_projections_lstm_args_check (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.4995815Z test_projections_lstm_check_device (__main__.TestNN) ... skip: multi-GPU not supported (0.001s) 2022-11-23T02:13:53.4996129Z test_projections_lstm_initial_hidden_state (__main__.TestNN) ... ok (0.017s) 2022-11-23T02:13:53.4996330Z test_prune (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4996669Z test_prune_importance_scores (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4996983Z test_prune_importance_scores_mimic_default (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.4997242Z test_pruning_container (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.4997500Z test_pruning_container_compute_mask (__main__.TestNN) 2022-11-23T02:13:53.4997804Z Test `compute_mask` of pruning container with a known `t` and ... ok (0.003s) 2022-11-23T02:13:53.4998044Z test_pruning_id_consistency (__main__.TestNN) 2022-11-23T02:13:53.4998502Z Test that pruning doesn't change the id of the parameters, which ... ok (0.001s) 2022-11-23T02:13:53.4998779Z test_pruning_rollback (__main__.TestNN) 2022-11-23T02:13:53.4999092Z Test that if something fails when the we try to compute the mask, ... ok (0.002s) 2022-11-23T02:13:53.4999380Z test_pruning_serialization_model (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4999680Z test_pruning_serialization_state_dict (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.4999934Z test_random_pruning (__main__.TestNN) ... ok (0.003s) 2022-11-23T02:13:53.5000167Z test_random_pruning_0perc (__main__.TestNN) 2022-11-23T02:13:53.5000473Z Test that a mask of 1s does not change forward or backward. ... ok (0.003s) 2022-11-23T02:13:53.5000686Z test_random_pruning_forward (__main__.TestNN) 2022-11-23T02:13:53.5000931Z check forward with mask (by hand). ... ok (0.002s) 2022-11-23T02:13:53.5001175Z test_random_pruning_new_weight (__main__.TestNN) 2022-11-23T02:13:53.5001474Z Test that module.name now contains a pruned version of ... ok (0.003s) 2022-11-23T02:13:53.5001705Z test_random_pruning_orig (__main__.TestNN) 2022-11-23T02:13:53.5002148Z Test that original tensor is correctly stored in 'orig' ... ok (0.002s) 2022-11-23T02:13:53.5002416Z test_random_pruning_pickle (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.5002623Z test_random_pruning_sizes (__main__.TestNN) 2022-11-23T02:13:53.5002947Z Test that the new parameters and buffers created by the pruning ... ok (0.003s) 2022-11-23T02:13:53.5003240Z test_random_structured_pruning_amount (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.5003539Z test_register_and_remove_buffer_parametrization (__main__.TestNN) 2022-11-23T02:13:53.5003882Z Test that it is possible to add and remove parametrizations on buffers ... ok (0.003s) 2022-11-23T02:13:53.5004179Z test_register_and_remove_nested_parametrization (__main__.TestNN) 2022-11-23T02:13:53.5004478Z Test that it is possible to nest the parametrizations ... ok (0.003s) 2022-11-23T02:13:53.5004755Z test_register_and_remove_parametrization (__main__.TestNN) 2022-11-23T02:13:53.5005042Z Test that it is possible to add a few parametrizations ... ok (0.022s) 2022-11-23T02:13:53.5005374Z test_register_buffer_allows_overwriting_with_same_name (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.5005691Z test_register_buffer_raises_error_if_attr_exists (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.5006025Z test_register_buffer_raises_error_if_name_is_not_string (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.5006338Z test_register_buffer_raises_error_if_not_tensor (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.5006681Z test_register_parameter_allows_overwriting_with_same_name (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.5007003Z test_register_parameter_raises_error_if_attr_exists (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.5007345Z test_register_parameter_raises_error_if_name_is_not_string (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.5007605Z test_relu_inplace_on_view (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.5007800Z test_remove_pruning (__main__.TestNN) 2022-11-23T02:13:53.5008117Z `prune.remove` removes the hook and the reparametrization ... ok (0.003s) 2022-11-23T02:13:53.5008359Z test_remove_pruning_exception (__main__.TestNN) 2022-11-23T02:13:53.5008669Z Removing from an unpruned tensor throws an assertion error ... ok (0.001s) 2022-11-23T02:13:53.5008943Z test_remove_pruning_forward (__main__.TestNN) 2022-11-23T02:13:53.5009268Z Remove pruning and check forward is unchanged from previous ... ok (0.002s) 2022-11-23T02:13:53.5009487Z test_repr (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.5009710Z test_requires_grad_ (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.5009952Z test_rnn_args_check (__main__.TestNN) ... ok (0.007s) 2022-11-23T02:13:53.5010451Z test_rnn_check_device (__main__.TestNN) ... skip: multi-GPU not supported (0.001s) 2022-11-23T02:13:53.5010718Z test_rnn_initial_hidden_state (__main__.TestNN) ... ok (0.014s) 2022-11-23T02:13:53.5010959Z test_rnn_pruning (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.5011313Z test_rnn_weight_norm (__main__.TestNN) ... ok (0.003s) 2022-11-23T02:13:53.5011584Z test_serialization_parametrization (__main__.TestNN) 2022-11-23T02:13:53.5011936Z Test that it is possible to serialize a parametrized model via state_dict ... ok (0.006s) 2022-11-23T02:13:53.5013187Z test_share_memory (__main__.TestNN) ... /opt/conda/lib/python3.7/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T02:13:53.5013419Z warnings.warn(message, UserWarning) 2022-11-23T02:13:53.5013569Z ok (0.002s) 2022-11-23T02:13:53.5013860Z test_smoothl1loss_intergral_target (__main__.TestNN) ... ok (0.006s) 2022-11-23T02:13:53.5014183Z test_smoothl1loss_negative_beta_not_supported (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.5014422Z test_softmax_cpu (__main__.TestNN) ... ok (0.007s) 2022-11-23T02:13:53.5015130Z test_softmax_functional_dim0 (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.5015284Z ok (0.008s) 2022-11-23T02:13:53.5015644Z test_softmax_functional_dim0_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.5016328Z test_softmax_functional_dim3 (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.5016489Z ok (0.007s) 2022-11-23T02:13:53.5016851Z test_softmax_functional_dim3_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.5017555Z test_softmax_functional_scalar (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.5017712Z ok (0.004s) 2022-11-23T02:13:53.5018071Z test_softmax_functional_scalar_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.5018894Z test_softmax_lastdim (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.5019053Z ok (0.007s) 2022-11-23T02:13:53.5019387Z test_softmax_lastdim_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.5020080Z test_softmax_lastdim_dtype (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.5020213Z ok (0.007s) 2022-11-23T02:13:53.5020570Z test_softmax_lastdim_dtype_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.5021325Z test_softmax_spatial (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.5021483Z ok (0.008s) 2022-11-23T02:13:53.5021820Z test_softmax_spatial_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.5022517Z test_softmax_spatial_dtype (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.5022669Z ok (0.008s) 2022-11-23T02:13:53.5023018Z test_softmax_spatial_dtype_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.5023784Z test_softmax_spatial_special (__main__.TestNN) ... [W ParallelNative.cpp:229] Warning: Cannot set number of intraop threads after parallel work has started or after set_num_threads call when using native parallel backend (function set_num_threads) 2022-11-23T02:13:53.5023912Z ok (0.009s) 2022-11-23T02:13:53.5024277Z test_softmax_spatial_special_cuda (__main__.TestNN) ... skip: Excluded from CUDA tests (0.001s) 2022-11-23T02:13:53.5024513Z test_softmin (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.5025767Z test_spectral_norm (__main__.TestNN) ... /opt/conda/lib/python3.7/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T02:13:53.5025994Z warnings.warn(message, UserWarning) 2022-11-23T02:13:53.5026145Z ok (0.028s) 2022-11-23T02:13:53.5026408Z test_spectral_norm_dim (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.5026673Z test_spectral_norm_forward (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.5026939Z test_spectral_norm_load_state_dict (__main__.TestNN) ... ok (0.019s) 2022-11-23T02:13:53.5027206Z test_spectral_norm_pickle (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.5027438Z test_state_dict (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.5027778Z test_sync_batchnorm_accuracy_cuda (__main__.TestNN) ... skip: CUDA not available (0.001s) 2022-11-23T02:13:53.5028114Z test_sync_batchnorm_backward_elemt (__main__.TestNN) ... skip: CUDA not available (0.001s) 2022-11-23T02:13:53.5028372Z test_threshold_bfloat16 (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.5028617Z test_threshold_int (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.5028828Z test_to (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.5029089Z test_train_errors_for_invalid_mode (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.5029444Z test_transfer_parametrizations_and_params (__main__.TestNN) 2022-11-23T02:13:53.5029823Z Test that all parametrizations and their associated parameters are transferred. ... ok (0.005s) 2022-11-23T02:13:53.5030161Z test_transfer_parametrizations_and_params_many_to_one (__main__.TestNN) ... ok (0.006s) 2022-11-23T02:13:53.5030488Z test_transfer_parametrizations_and_params_right_inverse (__main__.TestNN) 2022-11-23T02:13:53.5030873Z Test that all parametrizations and their associated parameters are transferred. ... ok (0.002s) 2022-11-23T02:13:53.5031188Z test_transfer_parametrizations_and_params_single_param (__main__.TestNN) 2022-11-23T02:13:53.5031566Z Test that all parametrizations and their associated parameters are transferred. ... ok (0.004s) 2022-11-23T02:13:53.5031807Z test_transformer_args_check (__main__.TestNN) ... ok (0.193s) 2022-11-23T02:13:53.5032094Z test_transformer_layer_args_check (__main__.TestNN) ... ok (0.011s) 2022-11-23T02:13:53.5032374Z test_transformerdecoder (__main__.TestNN) ... ok (0.119s) 2022-11-23T02:13:53.5032664Z test_transformerdecoderlayer (__main__.TestNN) ... ok (0.030s) 2022-11-23T02:13:53.5032969Z test_transformerdecoderlayer_gelu (__main__.TestNN) ... ok (0.035s) 2022-11-23T02:13:53.5033231Z test_triplet_margin_loss (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.5033566Z test_triplet_margin_loss_no_reduce (__main__.TestNN) ... ok (0.004s) 2022-11-23T02:13:53.5033838Z test_triplet_margin_loss_swap (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.5034116Z test_triplet_margin_loss_swap_no_reduce (__main__.TestNN) ... ok (0.005s) 2022-11-23T02:13:53.5034340Z test_type (__main__.TestNN) ... ok (0.003s) 2022-11-23T02:13:53.5034601Z test_type_before_parametrizations (__main__.TestNN) 2022-11-23T02:13:53.5034950Z Test that type_before_parametrizations always retrieves original type ... ok (0.001s) 2022-11-23T02:13:53.5036477Z test_unflatten (__main__.TestNN) ... /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:1093: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /var/lib/jenkins/workspace/c10/core/TensorImpl.h:1787.) 2022-11-23T02:13:53.5036784Z return super(Tensor, self).refine_names(names) 2022-11-23T02:13:53.5036946Z ok (0.002s) 2022-11-23T02:13:53.5037217Z test_unflatten_invalid_arg (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.5037476Z test_unfold_invalid_arg (__main__.TestNN) ... ok (0.014s) 2022-11-23T02:13:53.5037738Z test_unstructured_pruning_same_magnitude (__main__.TestNN) 2022-11-23T02:13:53.5038062Z Since it may happen that the tensor to prune has entries with the ... ok (0.001s) 2022-11-23T02:13:53.5038398Z test_upsamplingBilinear2d_spatial_invariance (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.5038673Z test_upsamplingLinear1d (__main__.TestNN) ... ok (0.018s) 2022-11-23T02:13:53.5039009Z test_upsamplingLinear1d_spatial_invariance (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.5039298Z test_upsamplingTrilinear3d (__main__.TestNN) ... ok (0.046s) 2022-11-23T02:13:53.5039642Z test_upsamplingTrilinear3d_spatial_invariance (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.5039883Z test_upsampling_bfloat16 (__main__.TestNN) ... ok (0.026s) 2022-11-23T02:13:53.5040197Z test_upsampling_not_recompute_scale_factor (__main__.TestNN) ... ok (0.011s) 2022-11-23T02:13:53.5040469Z test_upsampling_small_scale (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.5040712Z test_validate_pruning_amount (__main__.TestNN) 2022-11-23T02:13:53.5041024Z Tests the second util function that validates the pruning ... ok (0.001s) 2022-11-23T02:13:53.5041280Z test_validate_pruning_amount_init (__main__.TestNN) 2022-11-23T02:13:53.5041588Z Test the first util function that validates the pruning ... ok (0.001s) 2022-11-23T02:13:53.5041855Z test_vector_to_parameters (__main__.TestNN) ... ok (0.001s) 2022-11-23T02:13:53.5042076Z test_weight_norm (__main__.TestNN) ... ok (0.007s) 2022-11-23T02:13:53.5042333Z test_weight_norm_pickle (__main__.TestNN) ... ok (0.002s) 2022-11-23T02:13:53.5042561Z test_zero_grad (__main__.TestNN) ... ok (0.003s) 2022-11-23T02:13:53.5042873Z test_BatchNorm_empty_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:13:53.5043185Z test_Bilinear_empty_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:13:53.5043544Z test_CTCLoss_cudnn_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:13:53.5043871Z test_CTCLoss_empty_target_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:13:53.5044288Z test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:13:53.5044671Z test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:13:53.5045081Z test_CTCLoss_no_batch_dim_reduction_none_use_module_form_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:13:53.5045485Z test_CTCLoss_no_batch_dim_reduction_none_use_module_form_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:13:53.5045938Z test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:13:53.5046338Z test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:13:53.5046682Z test_GRU_grad_and_gradgrad_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.021s) 2022-11-23T02:13:53.5046991Z test_GroupNorm_empty_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:13:53.5047311Z test_GroupNorm_general_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.009s) 2022-11-23T02:13:53.5047627Z test_GroupNorm_numeric_cpu (__main__.TestNNDeviceTypeCPU) ... ok (1.129s) 2022-11-23T02:13:53.5047987Z test_GroupNorm_raises_error_if_one_value_per_group_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:13:53.5048376Z test_InstanceNorm1d_general_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:13:53.5048717Z test_InstanceNorm2d_general_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:13:53.5049057Z test_InstanceNorm3d_general_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:13:53.5049408Z test_LSTM_grad_and_gradgrad_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.027s) 2022-11-23T02:13:53.5049728Z test_LayerNorm_general_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.056s) 2022-11-23T02:13:53.5050044Z test_LayerNorm_numeric_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.546s) 2022-11-23T02:13:53.5050390Z test_LocalResponseNorm_empty_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:13:53.5050707Z test_MarginLoss_empty_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.024s) 2022-11-23T02:13:53.5051040Z test_MarginLoss_empty_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.023s) 2022-11-23T02:13:53.5051435Z test_ReflectionPad2d_large_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:13:53.5051817Z test_ReflectionPad3d_large_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:13:53.5052174Z test_ReflectionPad_empty_cpu_complex64 (__main__.TestNNDeviceTypeCPU) ... ok (0.020s) 2022-11-23T02:13:53.5052524Z test_ReflectionPad_empty_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.019s) 2022-11-23T02:13:53.5052864Z test_ReplicationPad1d_large_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.159s) 2022-11-23T02:13:53.5053202Z test_ReplicationPad2d_large_cpu (__main__.TestNNDeviceTypeCPU) ... ok (2.396s) 2022-11-23T02:13:53.5053515Z test_ReplicationPad3d_large_cpu (__main__.TestNNDeviceTypeCPU) ... ok (8.237s) 2022-11-23T02:13:53.5053875Z test_ReplicationPad_empty_cpu_complex128 (__main__.TestNNDeviceTypeCPU) ... ok (0.021s) 2022-11-23T02:13:53.5054231Z test_ReplicationPad_empty_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.020s) 2022-11-23T02:13:53.5054607Z test_TransformerDecoderLayer_empty_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.138s) 2022-11-23T02:13:53.5054949Z test_TransformerDecoder_empty_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.541s) 2022-11-23T02:13:53.5055316Z test_TransformerEncoderLayer_empty_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.168s) 2022-11-23T02:13:53.5055664Z test_TransformerEncoder_empty_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.385s) 2022-11-23T02:13:53.5055980Z test_Transformer_empty_cpu (__main__.TestNNDeviceTypeCPU) ... ok (1.207s) 2022-11-23T02:13:53.5056279Z test_Unfold_empty_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.006s) 2022-11-23T02:13:53.5056631Z test_activations_bfloat16_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:13:53.5056963Z test_activations_bfloat16_cpu_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.168s) 2022-11-23T02:13:53.5057274Z test_affine_2d_rotate0_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:13:53.5057584Z test_affine_2d_rotate45_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:13:53.5057901Z test_affine_2d_rotate90_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.019s) 2022-11-23T02:13:53.5058228Z test_affine_2d_rotateRandom_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.369s) 2022-11-23T02:13:53.5058606Z test_affine_3d_rotateRandom_cpu (__main__.TestNNDeviceTypeCPU) ... ok (7.580s) 2022-11-23T02:13:53.5059042Z test_batchnorm_affine_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:13:53.5059424Z test_batchnorm_affine_mixed_cpu_bfloat16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:13:53.5059821Z test_batchnorm_affine_mixed_cpu_float16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:13:53.5060145Z test_batchnorm_eval_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.005s) 2022-11-23T02:13:53.5060540Z test_batchnorm_eval_mixed_cpu_bfloat16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:13:53.5061012Z test_batchnorm_eval_mixed_cpu_float16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:13:53.5061327Z test_batchnorm_grad_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.031s) 2022-11-23T02:13:53.5061725Z test_batchnorm_large_batch_cpu_float16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:13:53.5062109Z test_batchnorm_large_batch_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:13:53.5062463Z test_batchnorm_simple_average_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:13:53.5062862Z test_batchnorm_simple_average_mixed_cpu_bfloat16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:13:53.5063279Z test_batchnorm_simple_average_mixed_cpu_float16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:13:53.5063613Z test_batchnorm_update_stats_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:13:53.5063969Z test_clip_grad_norm_error_if_nonfinite_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.125s) 2022-11-23T02:13:53.5064357Z test_clip_grad_norm_multi_device_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:13:53.5064697Z test_conv_empty_input_cpu_bfloat16 (__main__.TestNNDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:13:53.5066691Z test_conv_empty_input_cpu_complex128 (__main__.TestNNDeviceTypeCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py:1109: UserWarning: Complex modules are a new feature under active development whose design may change, and some modules might not work as expected when using complex tensors as parameters or buffers. Please file an issue at https://github.com/pytorch/pytorch/issues/new?template=bug-report.yml if a complex module does not work as expected. 2022-11-23T02:13:53.5067051Z "Complex modules are a new feature under active development whose design may change, " 2022-11-23T02:13:53.5067206Z ok (0.005s) 2022-11-23T02:13:53.5067535Z test_conv_empty_input_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:13:53.5067840Z test_conv_empty_input_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:13:53.5068272Z test_cross_entropy_label_smoothing_consistent_index_target_and_probs_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.020s) 2022-11-23T02:13:53.5068640Z test_cross_entropy_label_smoothing_errors_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:13:53.5069044Z test_cross_entropy_label_smoothing_weight_ignore_indices_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.018s) 2022-11-23T02:13:53.5069463Z test_cross_entropy_label_smoothing_with_probs_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.016s) 2022-11-23T02:13:53.5069886Z test_cross_entropy_large_tensor_reduction_mean_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:13:53.5070315Z test_cross_entropy_large_tensor_reduction_none_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:13:53.5070729Z test_cross_entropy_large_tensor_reduction_sum_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:13:53.5071182Z test_cross_entropy_loss_index_target_unit_weights_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:13:53.5071523Z test_cross_entropy_loss_one_hot_target_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.009s) 2022-11-23T02:13:53.5071918Z test_cross_entropy_loss_prob_target_all_reductions_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-11-23T02:13:53.5072379Z test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:13:53.5072826Z test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:13:53.5073330Z test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:13:53.5073773Z test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:13:53.5074218Z test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:13:53.5074659Z test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:13:53.5075037Z test_cross_entropy_loss_prob_target_unit_weights_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:13:53.5075305Z test_ctc_loss_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.240s) 2022-11-23T02:13:53.5075665Z test_ctc_loss_cudnn_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:13:53.5076020Z test_device_mask_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:13:53.5076342Z test_elu_inplace_overlap_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.011s) 2022-11-23T02:13:53.5076680Z test_elu_inplace_with_neg_alpha_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.016s) 2022-11-23T02:13:53.5076969Z test_fold_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.040s) 2022-11-23T02:13:53.5077278Z test_glu_bfloat16_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-11-23T02:13:53.5077642Z test_grid_sample_large_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:13:53.5077978Z test_grid_sample_large_index_2d_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (6.930s) 2022-11-23T02:13:53.5078403Z test_grid_sample_large_index_2d_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... skip: Insufficient cpu memory (0.080s) 2022-11-23T02:13:53.5078758Z test_grid_sample_large_index_3d_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (4.852s) 2022-11-23T02:13:53.5079192Z test_grid_sample_large_index_3d_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... skip: Insufficient cpu memory (0.078s) 2022-11-23T02:13:53.5079526Z test_grid_sample_nan_inf_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:13:53.5079856Z test_grid_sample_nan_inf_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:13:53.5080193Z test_groupnorm_nhwc_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.009s) 2022-11-23T02:13:53.5080518Z test_groupnorm_nhwc_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.010s) 2022-11-23T02:13:53.5080838Z test_gumbel_softmax_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.010s) 2022-11-23T02:13:53.5081138Z test_gumbel_softmax_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.010s) 2022-11-23T02:13:53.5081454Z test_hardsigmoid_grad_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:13:53.5081760Z test_hardswish_grad_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:13:53.5082106Z test_hardswish_inplace_overlap_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.005s) 2022-11-23T02:13:53.5082553Z test_instancenorm_raises_error_for_single_spatial_element_during_training_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:13:53.5083051Z test_instancenorm_raises_error_if_less_than_one_value_per_channel_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:13:53.5083396Z test_invalid_reduction_strings_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.006s) 2022-11-23T02:13:53.5083783Z test_layernorm_half_precision_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:13:53.5084164Z test_layernorm_weight_bias_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:13:53.5084485Z test_leaky_relu_inplace_overlap_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.009s) 2022-11-23T02:13:53.5084840Z test_leaky_relu_inplace_with_neg_slope_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.017s) 2022-11-23T02:13:53.5085249Z test_leaky_relu_inplace_with_zero_slope_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:13:53.5085548Z test_linear_empty_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:13:53.5085872Z test_log_softmax_big_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:13:53.5086183Z test_logsigmoid_out_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:13:53.5086616Z test_lstmcell_backward_only_one_output_grad_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:13:53.5087002Z test_masked_softmax_TxT_layout_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:13:53.5087283Z test_masked_softmax_cpu (__main__.TestNNDeviceTypeCPU) ... ok (8.077s) 2022-11-23T02:13:53.5087680Z test_masked_softmax_devices_parity_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:13:53.5088032Z test_masked_softmax_forward_with_nans_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.330s) 2022-11-23T02:13:53.5088354Z test_masked_softmax_grad_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.064s) 2022-11-23T02:13:53.5088686Z test_masked_softmax_mask_types_cpu (__main__.TestNNDeviceTypeCPU) ... ok (25.735s) 2022-11-23T02:13:53.5089086Z test_masked_softmax_transformer_layout_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:13:53.5089407Z test_mish_inplace_overlap_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.005s) 2022-11-23T02:13:53.5089736Z test_module_to_empty_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:13:53.5090035Z test_module_to_empty_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:13:53.5090365Z test_multi_margin_loss_errors_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.005s) 2022-11-23T02:13:53.5090794Z test_multihead_attention_dtype_batch_first_cpu_float16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:13:53.5091227Z test_multihead_attention_dtype_batch_first_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:13:53.5091655Z test_multihead_attention_dtype_batch_first_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:13:53.5092061Z test_multihead_attention_dtype_cpu_float16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:13:53.5092460Z test_multihead_attention_dtype_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:13:53.5092866Z test_multihead_attention_dtype_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:13:53.5093301Z test_multihead_attn_fast_path_query_and_bias_have_different_dtypes_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:13:53.5093678Z test_multihead_attn_fast_path_small_test_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:13:53.5094030Z test_multihead_attn_in_proj_bias_none_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:13:53.5094402Z test_multihead_attn_in_proj_weight_none_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:13:53.5094741Z test_multihead_self_attn_two_masks_fast_path_cpu (__main__.TestNNDeviceTypeCPU) 2022-11-23T02:13:53.5095485Z Multihead self-attention should give the same result on the fast path (BetterTransformer) as on the slow path ... ok (0.004s) 2022-11-23T02:13:53.5095839Z test_multihead_self_attn_two_masks_fast_path_mock_cpu (__main__.TestNNDeviceTypeCPU) 2022-11-23T02:13:53.5096402Z Multihead self-attention should take fast path when both attention mask (mask type 0) ... ok (0.002s) 2022-11-23T02:13:53.5096722Z test_nll_loss_all_ignored_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:13:53.5097069Z test_nll_loss_byte_target_matches_long_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:13:53.5097456Z test_nll_loss_empty_tensor_reduction_mean_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:13:53.5097816Z test_nll_loss_empty_tensor_reduction_none_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:13:53.5098169Z test_nll_loss_empty_tensor_reduction_sum_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:13:53.5098511Z test_nll_loss_invalid_target_dim_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.008s) 2022-11-23T02:13:53.5098950Z test_nll_loss_invalid_weights_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.016s) 2022-11-23T02:13:53.5099361Z test_nll_loss_large_tensor_reduction_mean_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:13:53.5099767Z test_nll_loss_large_tensor_reduction_none_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:13:53.5100169Z test_nll_loss_large_tensor_reduction_sum_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:13:53.5100512Z test_nll_loss_mismatched_batch_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:13:53.5100843Z test_nll_loss_out_of_bounds_ignore_index_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:13:53.5101185Z test_nll_loss_total_weight_is_zero_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:13:53.5101476Z test_nn_empty_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:13:53.5101776Z test_nn_scalars_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:13:53.5102104Z test_nn_scalars_reductions_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.009s) 2022-11-23T02:13:53.5103111Z test_nonlinearity_propagate_nan_cpu (__main__.TestNNDeviceTypeCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1958: UserWarning: nn.functional.tanh is deprecated. Use torch.tanh instead. 2022-11-23T02:13:53.5103449Z warnings.warn("nn.functional.tanh is deprecated. Use torch.tanh instead.") 2022-11-23T02:13:53.5104195Z /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:1969: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead. 2022-11-23T02:13:53.5104558Z warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.") 2022-11-23T02:13:53.5104695Z ok (0.002s) 2022-11-23T02:13:53.5104979Z test_one_hot_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.013s) 2022-11-23T02:13:53.5105425Z test_overwrite_module_params_on_conversion_cpu_device_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:13:53.5105729Z test_pad_cpu_complex128 (__main__.TestNNDeviceTypeCPU) ... ok (0.025s) 2022-11-23T02:13:53.5106037Z test_pad_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.025s) 2022-11-23T02:13:53.5106439Z test_prelu_backward_32bit_indexing_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:13:53.5106806Z test_rnn_fused_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:13:53.5107182Z test_rnn_fused_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:13:53.5107500Z test_rnn_retain_variables_cpu_float64 (__main__.TestNNDeviceTypeCPU) ... ok (0.039s) 2022-11-23T02:13:53.5107833Z test_save_lstm_compatibility_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.006s) 2022-11-23T02:13:53.5108238Z test_silu_inplace_overlap_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.005s) 2022-11-23T02:13:53.5108541Z test_skip_init_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:13:53.5108864Z test_smooth_l1_loss_bfloat16_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.008s) 2022-11-23T02:13:53.5109271Z test_smooth_l1_loss_vs_huber_loss_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.011s) 2022-11-23T02:13:53.5109665Z test_softmax_64bit_indexing_cpu_float16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:13:53.5109981Z test_softmax_bfloat16_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.048s) 2022-11-23T02:13:53.5110378Z test_softmax_cpu_float16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:13:53.5110731Z test_softmax_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:13:53.5111058Z test_softmax_results_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.675s) 2022-11-23T02:13:53.5111394Z test_softplus_inplace_overlap_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.005s) 2022-11-23T02:13:53.5111726Z test_softplus_low_threshold_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:13:53.5112025Z test_softshrink_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:13:53.5112370Z test_softshrink_inplace_overlap_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.005s) 2022-11-23T02:13:53.5112693Z test_softshrink_negative_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.005s) 2022-11-23T02:13:53.5113030Z test_threshold_inplace_overlap_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:13:53.5114915Z test_to_complex_cpu (__main__.TestNNDeviceTypeCPU) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py:1109: UserWarning: Complex modules are a new feature under active development whose design may change, and some modules might not work as expected when using complex tensors as parameters or buffers. Please file an issue at https://github.com/pytorch/pytorch/issues/new?template=bug-report.yml if a complex module does not work as expected. 2022-11-23T02:13:53.5115274Z "Complex modules are a new feature under active development whose design may change, " 2022-11-23T02:13:53.5116315Z /opt/conda/lib/python3.7/site-packages/torch/nn/modules/module.py:1118: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Copy.cpp:275.) 2022-11-23T02:13:53.5116664Z return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking) 2022-11-23T02:13:53.5116813Z ok (0.002s) 2022-11-23T02:13:53.5117192Z test_transformerencoderlayer_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.043s) 2022-11-23T02:13:53.5117560Z test_transformerencoderlayer_fast_path_cpu_float64 (__main__.TestNNDeviceTypeCPU) 2022-11-23T02:13:53.5117919Z Test transformer fast path on CPU with different valid mask types and shapes ... ok (0.124s) 2022-11-23T02:13:53.5118305Z test_transformerencoderlayer_gelu_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.046s) 2022-11-23T02:13:53.5118658Z test_triplet_margin_with_distance_loss_cpu (__main__.TestNNDeviceTypeCPU) ... ok (4.363s) 2022-11-23T02:13:53.5119033Z test_triplet_margin_with_distance_loss_default_parity_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.158s) 2022-11-23T02:13:53.5119493Z test_upsamplingBicubic2d_aa_correctness_memory_format_torch_channels_last_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:13:53.5119961Z test_upsamplingBicubic2d_aa_correctness_memory_format_torch_contiguous_format_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:13:53.5120390Z test_upsamplingBicubic2d_antialias_False_align_corners_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:13:53.5120810Z test_upsamplingBicubic2d_antialias_False_align_corners_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:13:53.5121285Z test_upsamplingBicubic2d_antialias_True_align_corners_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:13:53.5121711Z test_upsamplingBicubic2d_antialias_True_align_corners_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:13:53.5122090Z test_upsamplingBicubic2d_correctness_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:13:53.5122553Z test_upsamplingBilinear2d_aa_correctness_memory_format_torch_channels_last_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:13:53.5123008Z test_upsamplingBilinear2d_aa_correctness_memory_format_torch_contiguous_format_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:13:53.5123486Z test_upsamplingBilinear2d_antialias_False_align_corners_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.049s) 2022-11-23T02:13:53.5123909Z test_upsamplingBilinear2d_antialias_False_align_corners_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.049s) 2022-11-23T02:13:53.5124341Z test_upsamplingBilinear2d_antialias_True_align_corners_False_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.053s) 2022-11-23T02:13:53.5124762Z test_upsamplingBilinear2d_antialias_True_align_corners_True_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.054s) 2022-11-23T02:13:53.5125129Z test_upsamplingNearest1d_correctness_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:13:53.5125463Z test_upsamplingNearest1d_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.026s) 2022-11-23T02:13:53.5125879Z test_upsamplingNearest1d_launch_config_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:13:53.5126247Z test_upsamplingNearest2d_correctness_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.015s) 2022-11-23T02:13:53.5126561Z test_upsamplingNearest2d_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.053s) 2022-11-23T02:13:53.5126973Z test_upsamplingNearest2d_launch_config_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:13:53.5127391Z test_upsamplingNearest2d_launch_fail_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:13:53.5127800Z test_upsamplingNearest2d_launch_rocm_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:13:53.5128168Z test_upsamplingNearest3d_correctness_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.205s) 2022-11-23T02:13:53.5128500Z test_upsamplingNearest3d_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.031s) 2022-11-23T02:13:53.5128915Z test_upsamplingNearest3d_launch_config_cpu (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:13:53.5129302Z test_upsamplingNearestExact1d_correctness_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:13:53.5129687Z test_upsamplingNearestExact1d_rescale_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:13:53.5130063Z test_upsamplingNearestExact2d_correctness_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.015s) 2022-11-23T02:13:53.5130454Z test_upsamplingNearestExact3d_correctness_cpu (__main__.TestNNDeviceTypeCPU) ... ok (0.205s) 2022-11-23T02:13:53.5130890Z test_upsampling_64bit_indexing_channels_last_cpu_float16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:13:53.5131228Z test_variable_sequence_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... ok (0.779s) 2022-11-23T02:13:53.5131616Z test_warp_softmax_64bit_indexing_cpu_float16 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:13:53.5132016Z test_warp_softmax_64bit_indexing_cpu_float32 (__main__.TestNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:13:53.5132297Z test_calculate_gain_leaky_relu (__main__.TestNNInit) ... ok (0.001s) 2022-11-23T02:13:53.5132640Z test_calculate_gain_leaky_relu_only_accepts_numbers (__main__.TestNNInit) ... ok (0.001s) 2022-11-23T02:13:53.5132915Z test_calculate_gain_linear (__main__.TestNNInit) ... ok (0.001s) 2022-11-23T02:13:53.5133185Z test_calculate_gain_nonlinear (__main__.TestNNInit) ... ok (0.001s) 2022-11-23T02:13:53.5133575Z test_calculate_gain_only_accepts_valid_nonlinearities (__main__.TestNNInit) ... ok (0.001s) 2022-11-23T02:13:53.5133829Z test_constant (__main__.TestNNInit) ... ok (0.001s) 2022-11-23T02:13:53.5134087Z test_deprecation (__main__.TestNNInit) ... ok (0.003s) 2022-11-23T02:13:53.5134352Z test_dirac_identity (__main__.TestNNInit) ... ok (0.008s) 2022-11-23T02:13:53.5134655Z test_dirac_only_works_on_3_4_5d_inputs (__main__.TestNNInit) ... ok (0.001s) 2022-11-23T02:13:53.5134921Z test_dirac_properties (__main__.TestNNInit) ... ok (0.003s) 2022-11-23T02:13:53.5135146Z test_eye (__main__.TestNNInit) ... ok (0.001s) 2022-11-23T02:13:53.5135466Z test_eye_only_works_on_2d_inputs (__main__.TestNNInit) ... ok (0.001s) 2022-11-23T02:13:53.5135733Z test_kaiming_normal (__main__.TestNNInit) ... ok (0.201s) 2022-11-23T02:13:53.5136076Z test_kaiming_normal_errors_on_inputs_smaller_than_2d (__main__.TestNNInit) ... ok (0.001s) 2022-11-23T02:13:53.5136416Z test_kaiming_normal_warning_on_0element_tensor (__main__.TestNNInit) ... ok (0.003s) 2022-11-23T02:13:53.5136682Z test_kaiming_uniform (__main__.TestNNInit) ... ok (0.176s) 2022-11-23T02:13:53.5137023Z test_kaiming_uniform_errors_on_inputs_smaller_than_2d (__main__.TestNNInit) ... ok (0.001s) 2022-11-23T02:13:53.5137354Z test_kaiming_uniform_warning_on_0element_tensor (__main__.TestNNInit) ... ok (0.003s) 2022-11-23T02:13:53.5137588Z test_normal (__main__.TestNNInit) ... ok (0.907s) 2022-11-23T02:13:53.5137824Z test_ones_and_zeros (__main__.TestNNInit) ... ok (0.002s) 2022-11-23T02:13:53.5138079Z test_orthogonal (__main__.TestNNInit) ... ok (0.005s) 2022-11-23T02:13:53.5138354Z test_sparse_default_std (__main__.TestNNInit) ... ok (0.006s) 2022-11-23T02:13:53.5138650Z test_sparse_only_works_on_2d_inputs (__main__.TestNNInit) ... ok (0.001s) 2022-11-23T02:13:53.5139159Z test_trunc_normal (__main__.TestNNInit) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T02:13:53.5139405Z test_uniform (__main__.TestNNInit) ... ok (0.817s) 2022-11-23T02:13:53.5139662Z test_xavier_normal (__main__.TestNNInit) ... ok (0.343s) 2022-11-23T02:13:53.5139976Z test_xavier_normal_errors_on_inputs_smaller_than_2d (__main__.TestNNInit) ... ok (0.001s) 2022-11-23T02:13:53.5140234Z test_xavier_uniform (__main__.TestNNInit) ... ok (0.074s) 2022-11-23T02:13:53.5140573Z test_xavier_uniform_errors_on_inputs_smaller_than_2d (__main__.TestNNInit) ... ok (0.001s) 2022-11-23T02:13:53.5140910Z test_load_state_dict_module_pre_hook (__main__.TestStateDictHooks) ... ok (0.002s) 2022-11-23T02:13:53.5141225Z test_load_state_dict_post_hook (__main__.TestStateDictHooks) ... ok (0.003s) 2022-11-23T02:13:53.5141617Z test_load_state_dict_post_hook_backward_compatibility (__main__.TestStateDictHooks) ... ok (0.003s) 2022-11-23T02:13:53.5141927Z test_load_state_dict_pre_hook (__main__.TestStateDictHooks) ... ok (0.002s) 2022-11-23T02:13:53.5142231Z test_no_extra_ref_to_module (__main__.TestStateDictHooks) ... ok (0.001s) 2022-11-23T02:13:53.5142520Z test_pickled_hook (__main__.TestStateDictHooks) ... ok (0.001s) 2022-11-23T02:13:53.5142544Z 2022-11-23T02:13:53.5142991Z ---------------------------------------------------------------------- 2022-11-23T02:13:53.5143171Z Ran 2406 tests in 115.688s 2022-11-23T02:13:53.5143184Z 2022-11-23T02:13:53.5143397Z OK (skipped=1163, expected failures=3) 2022-11-23T02:13:53.5143411Z 2022-11-23T02:13:53.5143599Z Generating XML reports... 2022-11-23T02:13:53.5144204Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestAddRelu-20221123021156.xml 2022-11-23T02:13:53.5144840Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestConstantPadNd-20221123021156.xml 2022-11-23T02:13:53.5145490Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestFunctionalPickle-20221123021156.xml 2022-11-23T02:13:53.5146096Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestFusionEval-20221123021156.xml 2022-11-23T02:13:53.5146758Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestFusionUtils-20221123021156.xml 2022-11-23T02:13:53.5147425Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestModuleGlobalHooks-20221123021156.xml 2022-11-23T02:13:53.5147973Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestNN-20221123021156.xml 2022-11-23T02:13:53.5148616Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestNNDeviceTypeCPU-20221123021156.xml 2022-11-23T02:13:53.5149257Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestNNInit-20221123021156.xml 2022-11-23T02:13:53.5149902Z Generated XML report: test-reports/python-unittest/test_nn/TEST-TestStateDictHooks-20221123021156.xml 2022-11-23T02:13:53.5149982Z 2022-11-23T02:13:53.5150774Z ##[endgroup] 2022-11-23T02:13:53.5151365Z FINISHED PRINTING LOG FILE of test_nn (/var/lib/jenkins/workspace/test/test-reports/test_nn_t1m35bju) 2022-11-23T02:13:53.5151375Z 2022-11-23T02:13:53.5151799Z Running test_tensorexpr ... [2022-11-23 02:13:53.412176] 2022-11-23T02:13:53.5152523Z Executing ['/opt/conda/bin/python', '-bb', 'test_tensorexpr.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:13:53.412525] 2022-11-23T02:14:39.4207531Z 2022-11-23T02:14:39.4208113Z Expand the folded group to see the log file of test_tensorexpr 2022-11-23T02:14:39.4209208Z ##[group]PRINTING LOG FILE of test_tensorexpr (/var/lib/jenkins/workspace/test/test-reports/test_tensorexpr_cmx1963u) 2022-11-23T02:14:39.4210320Z Test results will be stored in test-reports/python-unittest/test_tensorexpr 2022-11-23T02:14:39.4235757Z 2022-11-23T02:14:39.4236043Z Running tests... 2022-11-23T02:14:39.4236585Z ---------------------------------------------------------------------- 2022-11-23T02:14:39.4237035Z test_add_const_rhs (__main__.TestTensorExprFuser) ... ok (0.298s) 2022-11-23T02:14:39.4237390Z test_add_sub (__main__.TestTensorExprFuser) ... ok (0.038s) 2022-11-23T02:14:39.4237690Z test_alias_analysis_input_and_module (__main__.TestTensorExprFuser) ... ok (0.046s) 2022-11-23T02:14:39.4238048Z test_alias_analysis_inputs (__main__.TestTensorExprFuser) ... ok (0.009s) 2022-11-23T02:14:39.4238361Z test_alias_analysis_module (__main__.TestTensorExprFuser) ... ok (0.129s) 2022-11-23T02:14:39.4240465Z test_all_combos (__main__.TestTensorExprFuser) ... ok (0.040s) 2022-11-23T02:14:39.4240996Z test_alpha (__main__.TestTensorExprFuser) ... ok (0.026s) 2022-11-23T02:14:39.4241429Z test_binary_ops (__main__.TestTensorExprFuser) ... ok (1.494s) 2022-11-23T02:14:39.4241879Z test_bitwise_ops (__main__.TestTensorExprFuser) ... ok (0.167s) 2022-11-23T02:14:39.4242372Z test_broadcast (__main__.TestTensorExprFuser) ... ok (0.041s) 2022-11-23T02:14:39.4242782Z test_broadcast3 (__main__.TestTensorExprFuser) ... ok (0.150s) 2022-11-23T02:14:39.4243299Z test_broadcast_2 (__main__.TestTensorExprFuser) ... ok (0.034s) 2022-11-23T02:14:39.4243686Z test_broadcast_big2 (__main__.TestTensorExprFuser) ... ok (0.048s) 2022-11-23T02:14:39.4243977Z test_cat (__main__.TestTensorExprFuser) ... ok (3.421s) 2022-11-23T02:14:39.4244257Z test_cat_empty_tensors (__main__.TestTensorExprFuser) ... ok (0.118s) 2022-11-23T02:14:39.4244553Z test_cat_negative_dim (__main__.TestTensorExprFuser) ... ok (0.071s) 2022-11-23T02:14:39.4245008Z test_cat_only (__main__.TestTensorExprFuser) ... skip: cat is broken with fusion group inlining disabled (0.001s) 2022-11-23T02:14:39.4245625Z test_cat_promote_inputs (__main__.TestTensorExprFuser) ... ok (0.132s) 2022-11-23T02:14:39.4245982Z test_cat_with_constant_dim (__main__.TestTensorExprFuser) ... ok (0.047s) 2022-11-23T02:14:39.4246267Z test_char (__main__.TestTensorExprFuser) ... ok (0.029s) 2022-11-23T02:14:39.4246521Z test_chunk (__main__.TestTensorExprFuser) ... ok (0.209s) 2022-11-23T02:14:39.4246837Z test_clamp (__main__.TestTensorExprFuser) ... ok (0.038s) 2022-11-23T02:14:39.4247104Z test_constant (__main__.TestTensorExprFuser) ... ok (0.028s) 2022-11-23T02:14:39.4247569Z test_double (__main__.TestTensorExprFuser) ... ok (0.027s) 2022-11-23T02:14:39.4247857Z test_double_intrinsics (__main__.TestTensorExprFuser) ... ok (0.034s) 2022-11-23T02:14:39.4248239Z test_dynamic_shape (__main__.TestTensorExprFuser) ... skip: dynamic shapes are not quite there yet (0.002s) 2022-11-23T02:14:39.4259617Z test_easy (__main__.TestTensorExprFuser) ... ok (0.038s) 2022-11-23T02:14:39.4260402Z test_eq (__main__.TestTensorExprFuser) ... ok (0.064s) 2022-11-23T02:14:39.4260935Z test_exp_pow (__main__.TestTensorExprFuser) ... ok (0.060s) 2022-11-23T02:14:39.4261407Z test_four_arg (__main__.TestTensorExprFuser) ... ok (0.040s) 2022-11-23T02:14:39.4261667Z test_ge (__main__.TestTensorExprFuser) ... ok (0.066s) 2022-11-23T02:14:39.4262077Z test_gt (__main__.TestTensorExprFuser) ... ok (0.065s) 2022-11-23T02:14:39.4262366Z test_guard_fails (__main__.TestTensorExprFuser) ... skip: requires CUDA (0.001s) 2022-11-23T02:14:39.4262670Z test_half_bn_relu (__main__.TestTensorExprFuser) ... ok (0.001s) 2022-11-23T02:14:39.4262944Z test_half_gelu (__main__.TestTensorExprFuser) ... ok (0.004s) 2022-11-23T02:14:39.4263231Z test_int64_promotion (__main__.TestTensorExprFuser) ... ok (0.028s) 2022-11-23T02:14:39.4263572Z test_int_output (__main__.TestTensorExprFuser) ... ok (0.028s) 2022-11-23T02:14:39.4264010Z test_le (__main__.TestTensorExprFuser) ... ok (0.064s) 2022-11-23T02:14:39.4264456Z test_loop (__main__.TestTensorExprFuser) ... ok (0.077s) 2022-11-23T02:14:39.4265869Z test_lt (__main__.TestTensorExprFuser) ... ok (0.065s) 2022-11-23T02:14:39.4266337Z test_mask (__main__.TestTensorExprFuser) ... ok (0.026s) 2022-11-23T02:14:39.4266829Z test_min_max (__main__.TestTensorExprFuser) ... ok (0.040s) 2022-11-23T02:14:39.4267223Z test_min_max_reduction (__main__.TestTensorExprFuser) ... ok (0.026s) 2022-11-23T02:14:39.4267521Z test_min_max_reduction2 (__main__.TestTensorExprFuser) ... ok (0.027s) 2022-11-23T02:14:39.4267815Z test_min_max_reduction_dim1 (__main__.TestTensorExprFuser) ... ok (0.030s) 2022-11-23T02:14:39.4268128Z test_min_max_reduction_dim1_2 (__main__.TestTensorExprFuser) ... ok (0.042s) 2022-11-23T02:14:39.4268421Z test_multi_rand (__main__.TestTensorExprFuser) ... ok (0.053s) 2022-11-23T02:14:39.4268702Z test_multioutput (__main__.TestTensorExprFuser) ... ok (0.037s) 2022-11-23T02:14:39.4268977Z test_multiple_outputs (__main__.TestTensorExprFuser) ... ok (0.182s) 2022-11-23T02:14:39.4269355Z test_nans (__main__.TestTensorExprFuser) ... ok (0.103s) 2022-11-23T02:14:39.4269620Z test_ne (__main__.TestTensorExprFuser) ... ok (0.065s) 2022-11-23T02:14:39.4269876Z test_promotion (__main__.TestTensorExprFuser) ... ok (0.035s) 2022-11-23T02:14:39.4270174Z test_propagated_mem_layout (__main__.TestTensorExprFuser) ... ok (30.928s) 2022-11-23T02:14:39.4270466Z test_rand_like (__main__.TestTensorExprFuser) ... ok (0.065s) 2022-11-23T02:14:39.4270727Z test_rank_two (__main__.TestTensorExprFuser) ... ok (0.045s) 2022-11-23T02:14:39.4270991Z test_relu (__main__.TestTensorExprFuser) ... ok (0.038s) 2022-11-23T02:14:39.4271260Z test_remainder (__main__.TestTensorExprFuser) ... ok (0.259s) 2022-11-23T02:14:39.4271529Z test_reps (__main__.TestTensorExprFuser) ... ok (0.050s) 2022-11-23T02:14:39.4271781Z test_scalar (__main__.TestTensorExprFuser) ... ok (0.111s) 2022-11-23T02:14:39.4272048Z test_short (__main__.TestTensorExprFuser) ... ok (0.028s) 2022-11-23T02:14:39.4272318Z test_simple_add (__main__.TestTensorExprFuser) ... ok (0.017s) 2022-11-23T02:14:39.4272578Z test_slice (__main__.TestTensorExprFuser) ... ok (0.060s) 2022-11-23T02:14:39.4272855Z test_sliced_stride (__main__.TestTensorExprFuser) ... ok (0.109s) 2022-11-23T02:14:39.4273140Z test_softmax_cpu (__main__.TestTensorExprFuser) ... ok (0.666s) 2022-11-23T02:14:39.4273429Z test_softmax_cuda (__main__.TestTensorExprFuser) ... skip: requires CUDA (0.000s) 2022-11-23T02:14:39.4273749Z test_strided_output_preserved (__main__.TestTensorExprFuser) ... ok (0.113s) 2022-11-23T02:14:39.4274153Z test_three_arg (__main__.TestTensorExprFuser) ... ok (0.037s) 2022-11-23T02:14:39.4274433Z test_three_arg2 (__main__.TestTensorExprFuser) ... ok (0.040s) 2022-11-23T02:14:39.4274695Z test_transpose (__main__.TestTensorExprFuser) ... ok (0.162s) 2022-11-23T02:14:39.4274965Z test_unary_ops (__main__.TestTensorExprFuser) ... ok (3.236s) 2022-11-23T02:14:39.4275234Z test_unsqueeze (__main__.TestTensorExprFuser) ... ok (0.063s) 2022-11-23T02:14:39.4275493Z test_where (__main__.TestTensorExprFuser) ... ok (0.161s) 2022-11-23T02:14:39.4275643Z 2022-11-23T02:14:39.4275903Z ---------------------------------------------------------------------- 2022-11-23T02:14:39.4276198Z Ran 72 tests in 44.136s 2022-11-23T02:14:39.4276311Z 2022-11-23T02:14:39.4276384Z OK (skipped=4) 2022-11-23T02:14:39.4276478Z 2022-11-23T02:14:39.4276564Z Generating XML reports... 2022-11-23T02:14:39.4277007Z Generated XML report: test-reports/python-unittest/test_tensorexpr/TEST-TestTensorExprFuser-20221123021354.xml 2022-11-23T02:14:39.4277249Z 2022-11-23T02:14:39.4277644Z ##[endgroup] 2022-11-23T02:14:39.4278028Z FINISHED PRINTING LOG FILE of test_tensorexpr (/var/lib/jenkins/workspace/test/test-reports/test_tensorexpr_cmx1963u) 2022-11-23T02:14:39.4282312Z 2022-11-23T02:14:39.4282697Z Running test_cpp_extensions_jit ... [2022-11-23 02:14:39.423429] 2022-11-23T02:14:39.4283204Z Executing ['/opt/conda/bin/python', '-bb', 'test_cpp_extensions_jit.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:14:39.423859] 2022-11-23T02:15:11.2742007Z 2022-11-23T02:15:11.2742708Z Expand the folded group to see the log file of test_cpp_extensions_jit 2022-11-23T02:15:11.2743723Z ##[group]PRINTING LOG FILE of test_cpp_extensions_jit (/var/lib/jenkins/workspace/test/test-reports/test_cpp_extensions_jit_urdn6dey) 2022-11-23T02:15:11.2744586Z Test results will be stored in test-reports/python-unittest/test_cpp_extensions_jit 2022-11-23T02:15:11.2745101Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T02:15:11.2745324Z 2022-11-23T02:15:11.2745405Z Running tests... 2022-11-23T02:15:11.2745696Z ---------------------------------------------------------------------- 2022-11-23T02:15:11.2746004Z test_autograd_from_cpp (__main__.TestCppExtensionJIT) ... ok (1.589s) 2022-11-23T02:15:11.2746407Z test_compilation_error_formatting (__main__.TestCppExtensionJIT) ... ok (13.996s) 2022-11-23T02:15:11.2746960Z test_cpp_frontend_module_has_same_output_as_python (__main__.TestCppExtensionJIT) ... Using /var/lib/jenkins/.cache/torch_extensions/py37_cpu as PyTorch extensions root... 2022-11-23T02:15:11.2747509Z Creating extension directory /var/lib/jenkins/.cache/torch_extensions/py37_cpu/cpp_frontend_extension... 2022-11-23T02:15:11.2747913Z Emitting ninja build file /var/lib/jenkins/.cache/torch_extensions/py37_cpu/cpp_frontend_extension/build.ninja... 2022-11-23T02:15:11.2748237Z Building extension module cpp_frontend_extension... 2022-11-23T02:15:11.2748495Z Using envvar MAX_JOBS (6) as the number of workers... 2022-11-23T02:15:11.2750082Z [1/2] c++ -MMD -MF cpp_frontend_extension.o.d -DTORCH_EXTENSION_NAME=cpp_frontend_extension -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -isystem /opt/conda/lib/python3.7/site-packages/torch/include -isystem /opt/conda/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.7/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.7/site-packages/torch/include/THC -isystem /opt/conda/include/python3.7m -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++14 -c /var/lib/jenkins/workspace/test/cpp_extensions/cpp_frontend_extension.cpp -o cpp_frontend_extension.o 2022-11-23T02:15:11.2751442Z [2/2] c++ cpp_frontend_extension.o -shared -L/opt/conda/lib/python3.7/site-packages/torch/lib -lc10 -ltorch_cpu -ltorch -ltorch_python -o cpp_frontend_extension.so 2022-11-23T02:15:11.2751805Z Loading extension module cpp_frontend_extension... 2022-11-23T02:15:11.2752019Z ok (1.353s) 2022-11-23T02:15:11.2752531Z test_cpp_frontend_module_has_up_to_date_attributes (__main__.TestCppExtensionJIT) ... Using /var/lib/jenkins/.cache/torch_extensions/py37_cpu as PyTorch extensions root... 2022-11-23T02:15:11.2753050Z No modifications detected for re-loaded extension module cpp_frontend_extension, skipping build step... 2022-11-23T02:15:11.2753356Z Loading extension module cpp_frontend_extension... 2022-11-23T02:15:11.2753573Z ok (0.003s) 2022-11-23T02:15:11.2753902Z test_cpp_frontend_module_python_inter_op (__main__.TestCppExtensionJIT) ... Using /var/lib/jenkins/.cache/torch_extensions/py37_cpu as PyTorch extensions root... 2022-11-23T02:15:11.2754448Z No modifications detected for re-loaded extension module cpp_frontend_extension, skipping build step... 2022-11-23T02:15:11.2754768Z Loading extension module cpp_frontend_extension... 2022-11-23T02:15:11.2754976Z ok (0.010s) 2022-11-23T02:15:11.2755259Z test_cpp_frontend_module_python_inter_op_with_cuda (__main__.TestCppExtensionJIT) ... skip: CUDA not found (0.001s) 2022-11-23T02:15:11.2755679Z test_custom_compound_op_autograd (__main__.TestCppExtensionJIT) ... Using /var/lib/jenkins/.cache/torch_extensions/py37_cpu as PyTorch extensions root... 2022-11-23T02:15:11.2756096Z Creating extension directory /var/lib/jenkins/.cache/torch_extensions/py37_cpu/is_python_module... 2022-11-23T02:15:11.2756463Z Emitting ninja build file /var/lib/jenkins/.cache/torch_extensions/py37_cpu/is_python_module/build.ninja... 2022-11-23T02:15:11.2756753Z Building extension module is_python_module... 2022-11-23T02:15:11.2757004Z Using envvar MAX_JOBS (6) as the number of workers... 2022-11-23T02:15:11.2758285Z [1/2] c++ -MMD -MF main.o.d -DTORCH_EXTENSION_NAME=is_python_module -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -isystem /opt/conda/lib/python3.7/site-packages/torch/include -isystem /opt/conda/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.7/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.7/site-packages/torch/include/THC -isystem /opt/conda/include/python3.7m -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++14 -c /var/lib/jenkins/.cache/torch_extensions/py37_cpu/is_python_module/main.cpp -o main.o 2022-11-23T02:15:11.2759325Z [2/2] c++ main.o -shared -L/opt/conda/lib/python3.7/site-packages/torch/lib -lc10 -ltorch_cpu -ltorch -ltorch_python -o is_python_module.so 2022-11-23T02:15:11.2759662Z Loading extension module is_python_module... 2022-11-23T02:15:11.2760301Z /opt/conda/lib/python3.7/site-packages/torch/autograd/gradcheck.py:653: UserWarning: Input #0 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 2022-11-23T02:15:11.2760794Z f'Input #{idx} requires gradient and ' 2022-11-23T02:15:11.2761435Z /opt/conda/lib/python3.7/site-packages/torch/autograd/gradcheck.py:653: UserWarning: Input #1 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 2022-11-23T02:15:11.2761920Z f'Input #{idx} requires gradient and ' 2022-11-23T02:15:11.2762545Z /opt/conda/lib/python3.7/site-packages/torch/autograd/gradcheck.py:653: UserWarning: Input #0 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 2022-11-23T02:15:11.2763006Z f'Input #{idx} requires gradient and ' 2022-11-23T02:15:11.2763628Z /opt/conda/lib/python3.7/site-packages/torch/autograd/gradcheck.py:653: UserWarning: Input #1 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 2022-11-23T02:15:11.2764110Z f'Input #{idx} requires gradient and ' 2022-11-23T02:15:11.2764303Z ok (1.271s) 2022-11-23T02:15:11.2764539Z test_half_support (__main__.TestCppExtensionJIT) 2022-11-23T02:15:11.2764862Z Checks for an issue with operator< ambiguity for half when certain ... skip: Temporarily disabled (0.001s) 2022-11-23T02:15:11.2765242Z test_inline_jit_compile_custom_op_cuda (__main__.TestCppExtensionJIT) ... skip: Temporarily disabled (0.001s) 2022-11-23T02:15:11.2765620Z test_inline_jit_compile_extension_cuda (__main__.TestCppExtensionJIT) ... skip: Temporarily disabled (0.001s) 2022-11-23T02:15:11.2766068Z test_inline_jit_compile_extension_multiple_sources_and_no_functions (__main__.TestCppExtensionJIT) ... Using /var/lib/jenkins/.cache/torch_extensions/py37_cpu as PyTorch extensions root... 2022-11-23T02:15:11.2766545Z Creating extension directory /var/lib/jenkins/.cache/torch_extensions/py37_cpu/inline_jit_extension... 2022-11-23T02:15:11.2766918Z Emitting ninja build file /var/lib/jenkins/.cache/torch_extensions/py37_cpu/inline_jit_extension/build.ninja... 2022-11-23T02:15:11.2767236Z Building extension module inline_jit_extension... 2022-11-23T02:15:11.2767478Z Using envvar MAX_JOBS (6) as the number of workers... 2022-11-23T02:15:11.2768770Z [1/2] c++ -MMD -MF main.o.d -DTORCH_EXTENSION_NAME=inline_jit_extension -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -isystem /opt/conda/lib/python3.7/site-packages/torch/include -isystem /opt/conda/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.7/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.7/site-packages/torch/include/THC -isystem /opt/conda/include/python3.7m -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++14 -c /var/lib/jenkins/.cache/torch_extensions/py37_cpu/inline_jit_extension/main.cpp -o main.o 2022-11-23T02:15:11.2769822Z [2/2] c++ main.o -shared -L/opt/conda/lib/python3.7/site-packages/torch/lib -lc10 -ltorch_cpu -ltorch -ltorch_python -o inline_jit_extension.so 2022-11-23T02:15:11.2770164Z Loading extension module inline_jit_extension... 2022-11-23T02:15:11.2770358Z ok (1.240s) 2022-11-23T02:15:11.2770634Z test_inline_jit_compile_extension_throws_when_functions_is_bad (__main__.TestCppExtensionJIT) ... ok (0.003s) 2022-11-23T02:15:11.2771088Z test_inline_jit_compile_extension_with_functions_as_dict (__main__.TestCppExtensionJIT) ... Using /var/lib/jenkins/.cache/torch_extensions/py37_cpu as PyTorch extensions root... 2022-11-23T02:15:11.2771542Z Creating extension directory /var/lib/jenkins/.cache/torch_extensions/py37_cpu/inline_jit_extension_with_functions_dict... 2022-11-23T02:15:11.2771941Z Emitting ninja build file /var/lib/jenkins/.cache/torch_extensions/py37_cpu/inline_jit_extension_with_functions_dict/build.ninja... 2022-11-23T02:15:11.2772299Z Building extension module inline_jit_extension_with_functions_dict... 2022-11-23T02:15:11.2772573Z Using envvar MAX_JOBS (6) as the number of workers... 2022-11-23T02:15:11.2773919Z [1/2] c++ -MMD -MF main.o.d -DTORCH_EXTENSION_NAME=inline_jit_extension_with_functions_dict -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -isystem /opt/conda/lib/python3.7/site-packages/torch/include -isystem /opt/conda/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.7/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.7/site-packages/torch/include/THC -isystem /opt/conda/include/python3.7m -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++14 -c /var/lib/jenkins/.cache/torch_extensions/py37_cpu/inline_jit_extension_with_functions_dict/main.cpp -o main.o 2022-11-23T02:15:11.2775031Z [2/2] c++ main.o -shared -L/opt/conda/lib/python3.7/site-packages/torch/lib -lc10 -ltorch_cpu -ltorch -ltorch_python -o inline_jit_extension_with_functions_dict.so 2022-11-23T02:15:11.2775416Z Loading extension module inline_jit_extension_with_functions_dict... 2022-11-23T02:15:11.2775631Z ok (1.300s) 2022-11-23T02:15:11.2776005Z test_inline_jit_compile_extension_with_functions_as_list (__main__.TestCppExtensionJIT) ... Using /var/lib/jenkins/.cache/torch_extensions/py37_cpu as PyTorch extensions root... 2022-11-23T02:15:11.2776460Z Creating extension directory /var/lib/jenkins/.cache/torch_extensions/py37_cpu/inline_jit_extension_with_functions_list... 2022-11-23T02:15:11.2776862Z Emitting ninja build file /var/lib/jenkins/.cache/torch_extensions/py37_cpu/inline_jit_extension_with_functions_list/build.ninja... 2022-11-23T02:15:11.2777214Z Building extension module inline_jit_extension_with_functions_list... 2022-11-23T02:15:11.2777488Z Using envvar MAX_JOBS (6) as the number of workers... 2022-11-23T02:15:11.2779064Z [1/2] c++ -MMD -MF main.o.d -DTORCH_EXTENSION_NAME=inline_jit_extension_with_functions_list -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -isystem /opt/conda/lib/python3.7/site-packages/torch/include -isystem /opt/conda/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.7/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.7/site-packages/torch/include/THC -isystem /opt/conda/include/python3.7m -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++14 -c /var/lib/jenkins/.cache/torch_extensions/py37_cpu/inline_jit_extension_with_functions_list/main.cpp -o main.o 2022-11-23T02:15:11.2780185Z [2/2] c++ main.o -shared -L/opt/conda/lib/python3.7/site-packages/torch/lib -lc10 -ltorch_cpu -ltorch -ltorch_python -o inline_jit_extension_with_functions_list.so 2022-11-23T02:15:11.2780566Z Loading extension module inline_jit_extension_with_functions_list... 2022-11-23T02:15:11.2780787Z ok (1.270s) 2022-11-23T02:15:11.2781107Z test_jit_compile_extension (__main__.TestCppExtensionJIT) ... Using /var/lib/jenkins/.cache/torch_extensions/py37_cpu as PyTorch extensions root... 2022-11-23T02:15:11.2781511Z Creating extension directory /var/lib/jenkins/.cache/torch_extensions/py37_cpu/jit_extension... 2022-11-23T02:15:11.2781863Z Emitting ninja build file /var/lib/jenkins/.cache/torch_extensions/py37_cpu/jit_extension/build.ninja... 2022-11-23T02:15:11.2782159Z Building extension module jit_extension... 2022-11-23T02:15:11.2782405Z Using envvar MAX_JOBS (6) as the number of workers... 2022-11-23T02:15:11.2783776Z [1/3] c++ -MMD -MF jit_extension2.o.d -DTORCH_EXTENSION_NAME=jit_extension -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -I/var/lib/jenkins/workspace/test/cpp_extensions -isystem /opt/conda/lib/python3.7/site-packages/torch/include -isystem /opt/conda/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.7/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.7/site-packages/torch/include/THC -isystem /opt/conda/include/python3.7m -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++14 -g -c /var/lib/jenkins/workspace/test/cpp_extensions/jit_extension2.cpp -o jit_extension2.o 2022-11-23T02:15:11.2785796Z [2/3] c++ -MMD -MF jit_extension.o.d -DTORCH_EXTENSION_NAME=jit_extension -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -I/var/lib/jenkins/workspace/test/cpp_extensions -isystem /opt/conda/lib/python3.7/site-packages/torch/include -isystem /opt/conda/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.7/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.7/site-packages/torch/include/THC -isystem /opt/conda/include/python3.7m -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++14 -g -c /var/lib/jenkins/workspace/test/cpp_extensions/jit_extension.cpp -o jit_extension.o 2022-11-23T02:15:11.2786921Z [3/3] c++ jit_extension.o jit_extension2.o -shared -L/opt/conda/lib/python3.7/site-packages/torch/lib -lc10 -ltorch_cpu -ltorch -ltorch_python -o jit_extension.so 2022-11-23T02:15:11.2787270Z Loading extension module jit_extension... 2022-11-23T02:15:11.2787463Z ok (1.583s) 2022-11-23T02:15:11.2787894Z test_jit_cuda_archflags (__main__.TestCppExtensionJIT) ... skip: CUDA not found (0.001s) 2022-11-23T02:15:11.2788235Z test_jit_cuda_extension (__main__.TestCppExtensionJIT) ... skip: CUDA not found (0.001s) 2022-11-23T02:15:11.2788552Z test_jit_cudnn_extension (__main__.TestCppExtensionJIT) ... skip: CuDNN not found (0.001s) 2022-11-23T02:15:11.2788973Z test_lenient_flag_handling_in_jit_extensions (__main__.TestCppExtensionJIT) ... Using /var/lib/jenkins/.cache/torch_extensions/py37_cpu as PyTorch extensions root... 2022-11-23T02:15:11.2789490Z Creating extension directory /var/lib/jenkins/.cache/torch_extensions/py37_cpu/lenient_flag_handling_extension... 2022-11-23T02:15:11.2789934Z Emitting ninja build file /var/lib/jenkins/.cache/torch_extensions/py37_cpu/lenient_flag_handling_extension/build.ninja... 2022-11-23T02:15:11.2790261Z Building extension module lenient_flag_handling_extension... 2022-11-23T02:15:11.2790529Z Using envvar MAX_JOBS (6) as the number of workers... 2022-11-23T02:15:11.2791966Z [1/2] c++ -MMD -MF main.o.d -DTORCH_EXTENSION_NAME=lenient_flag_handling_extension -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -I/var/lib/jenkins/workspace/test/cpp_extensions -isystem /opt/conda/lib/python3.7/site-packages/torch/include -isystem /opt/conda/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.7/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.7/site-packages/torch/include/THC -isystem /opt/conda/include/python3.7m -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++14 -g -O0 -Wall -c /var/lib/jenkins/.cache/torch_extensions/py37_cpu/lenient_flag_handling_extension/main.cpp -o main.o 2022-11-23T02:15:11.2793132Z [2/2] c++ main.o -shared -L/opt/conda/lib/python3.7/site-packages/torch/lib -lc10 -ltorch_cpu -ltorch -ltorch_python -o lenient_flag_handling_extension.so 2022-11-23T02:15:11.2793505Z Loading extension module lenient_flag_handling_extension... 2022-11-23T02:15:11.2793713Z ok (1.292s) 2022-11-23T02:15:11.2794495Z test_reload_jit_extension (__main__.TestCppExtensionJIT) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/80933 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T02:15:11.2795194Z test_returns_shared_library_path_when_is_python_module_is_true (__main__.TestCppExtensionJIT) ... Using /var/lib/jenkins/.cache/torch_extensions/py37_cpu as PyTorch extensions root... 2022-11-23T02:15:11.2795772Z The input conditions for extension module is_python_module have changed. Bumping to version 1 and re-building as is_python_module_v1... 2022-11-23T02:15:11.2796174Z Emitting ninja build file /var/lib/jenkins/.cache/torch_extensions/py37_cpu/is_python_module/build.ninja... 2022-11-23T02:15:11.2796477Z Building extension module is_python_module_v1... 2022-11-23T02:15:11.2796733Z Using envvar MAX_JOBS (6) as the number of workers... 2022-11-23T02:15:11.2798016Z [1/2] c++ -MMD -MF main.o.d -DTORCH_EXTENSION_NAME=is_python_module_v1 -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -isystem /opt/conda/lib/python3.7/site-packages/torch/include -isystem /opt/conda/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.7/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.7/site-packages/torch/include/THC -isystem /opt/conda/include/python3.7m -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++14 -c /var/lib/jenkins/.cache/torch_extensions/py37_cpu/is_python_module/main.cpp -o main.o 2022-11-23T02:15:11.2799060Z [2/2] c++ main.o -shared -L/opt/conda/lib/python3.7/site-packages/torch/lib -lc10 -ltorch_cpu -ltorch -ltorch_python -o is_python_module_v1.so 2022-11-23T02:15:11.2799439Z Loading extension module is_python_module_v1... 2022-11-23T02:15:11.2799636Z ok (1.250s) 2022-11-23T02:15:11.2799982Z test_set_default_type_also_changes_aten_default_type (__main__.TestCppExtensionJIT) ... Using /var/lib/jenkins/.cache/torch_extensions/py37_cpu as PyTorch extensions root... 2022-11-23T02:15:11.2800416Z Creating extension directory /var/lib/jenkins/.cache/torch_extensions/py37_cpu/test_set_default_type... 2022-11-23T02:15:11.2800792Z Emitting ninja build file /var/lib/jenkins/.cache/torch_extensions/py37_cpu/test_set_default_type/build.ninja... 2022-11-23T02:15:11.2801090Z Building extension module test_set_default_type... 2022-11-23T02:15:11.2801378Z Using envvar MAX_JOBS (6) as the number of workers... 2022-11-23T02:15:11.2802671Z [1/2] c++ -MMD -MF main.o.d -DTORCH_EXTENSION_NAME=test_set_default_type -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -isystem /opt/conda/lib/python3.7/site-packages/torch/include -isystem /opt/conda/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -isystem /opt/conda/lib/python3.7/site-packages/torch/include/TH -isystem /opt/conda/lib/python3.7/site-packages/torch/include/THC -isystem /opt/conda/include/python3.7m -D_GLIBCXX_USE_CXX11_ABI=1 -fPIC -std=c++14 -c /var/lib/jenkins/.cache/torch_extensions/py37_cpu/test_set_default_type/main.cpp -o main.o 2022-11-23T02:15:11.2803717Z [2/2] c++ main.o -shared -L/opt/conda/lib/python3.7/site-packages/torch/lib -lc10 -ltorch_cpu -ltorch -ltorch_python -o test_set_default_type.so 2022-11-23T02:15:11.2804060Z Loading extension module test_set_default_type... 2022-11-23T02:15:11.2804258Z ok (1.224s) 2022-11-23T02:15:11.2804542Z test_warning (__main__.TestCppExtensionJIT) ... [W main.cpp:12] Warning: Error with CPUDoubleType (function foo) 2022-11-23T02:15:11.2804877Z [W main.cpp:12] Warning: Error with CPUDoubleType (function foo) 2022-11-23T02:15:11.2805147Z [W main.cpp:12] Warning: Error with CPUDoubleType (function foo) 2022-11-23T02:15:11.2805420Z [W main.cpp:12] Warning: Error with CPUDoubleType (function foo) 2022-11-23T02:15:11.2805793Z UserWarning: Error with torch.DoubleTensor (Triggered internally at /var/lib/jenkins/.cache/torch_extensions/py37_cpu/warn_mod/main.cpp:12.) 2022-11-23T02:15:11.2806089Z ok (2.459s) 2022-11-23T02:15:11.2806180Z 2022-11-23T02:15:11.2806379Z ---------------------------------------------------------------------- 2022-11-23T02:15:11.2806618Z Ran 23 tests in 29.863s 2022-11-23T02:15:11.2806731Z 2022-11-23T02:15:11.2806802Z OK (skipped=8) 2022-11-23T02:15:11.2806911Z 2022-11-23T02:15:11.2806982Z Generating XML reports... 2022-11-23T02:15:11.2807416Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_jit/TEST-TestCppExtensionJIT-20221123021440.xml 2022-11-23T02:15:11.2807665Z 2022-11-23T02:15:11.2807939Z ##[endgroup] 2022-11-23T02:15:11.2808332Z FINISHED PRINTING LOG FILE of test_cpp_extensions_jit (/var/lib/jenkins/workspace/test/test-reports/test_cpp_extensions_jit_urdn6dey) 2022-11-23T02:15:11.2808565Z 2022-11-23T02:15:11.2808741Z Running nn/test_pooling ... [2022-11-23 02:15:11.274579] 2022-11-23T02:15:11.2809206Z Executing ['/opt/conda/bin/python', '-bb', 'nn/test_pooling.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:15:11.274923] 2022-11-23T02:15:35.7748982Z 2022-11-23T02:15:35.7749497Z Expand the folded group to see the log file of nn/test_pooling 2022-11-23T02:15:35.7750799Z ##[group]PRINTING LOG FILE of nn/test_pooling (/var/lib/jenkins/workspace/test/test-reports/nn-test_pooling_ugvk0zj7) 2022-11-23T02:15:35.7751495Z Test results will be stored in test-reports/python-unittest/nn.test_pooling 2022-11-23T02:15:35.7751701Z 2022-11-23T02:15:35.7751814Z Running tests... 2022-11-23T02:15:35.7752107Z ---------------------------------------------------------------------- 2022-11-23T02:15:35.7752407Z test_avg_pool1d_ceil_mode (__main__.TestAvgPool) ... ok (0.002s) 2022-11-23T02:15:35.7752686Z test_avg_pool2d_ceil_mode (__main__.TestAvgPool) ... ok (0.001s) 2022-11-23T02:15:35.7753147Z test_avg_pool3d_ceil_mode (__main__.TestAvgPool) ... ok (0.001s) 2022-11-23T02:15:35.7753416Z test_doubletensor_avg_pool2d (__main__.TestAvgPool) ... ok (0.010s) 2022-11-23T02:15:35.7753815Z test_doubletensor_avg_pool2d_with_divisor (__main__.TestAvgPool) ... ok (0.006s) 2022-11-23T02:15:35.7754166Z test_doubletensor_avg_pool3d (__main__.TestAvgPool) ... ok (0.061s) 2022-11-23T02:15:35.7754493Z test_doubletensor_avg_pool3d_with_divisor (__main__.TestAvgPool) ... ok (0.197s) 2022-11-23T02:15:35.7754795Z test_MaxUnpool2d_output_size (__main__.TestPoolingNN) ... ok (0.008s) 2022-11-23T02:15:35.7755206Z test_adaptive_pooling_avg_nhwc (__main__.TestPoolingNN) ... ok (0.003s) 2022-11-23T02:15:35.7755562Z test_adaptive_pooling_avg_nhwc_launch_config_backward (__main__.TestPoolingNN) ... skip: CUDA unavailable (0.001s) 2022-11-23T02:15:35.7755943Z test_adaptive_pooling_avg_nhwc_launch_config_forward (__main__.TestPoolingNN) ... skip: CUDA unavailable (0.001s) 2022-11-23T02:15:35.7756302Z test_adaptive_pooling_avg_nhwc_non_contiguous (__main__.TestPoolingNN) ... ok (0.002s) 2022-11-23T02:15:35.7756613Z test_adaptive_pooling_bfloat16 (__main__.TestPoolingNN) ... ok (0.007s) 2022-11-23T02:15:35.7756922Z test_adaptive_pooling_input_size (__main__.TestPoolingNN) ... ok (0.001s) 2022-11-23T02:15:35.7757269Z test_adaptive_pooling_size_none (__main__.TestPoolingNN) ... ok (0.002s) 2022-11-23T02:15:35.7757602Z test_adaptive_pooling_size_overflow (__main__.TestPoolingNN) ... ok (0.009s) 2022-11-23T02:15:35.7757884Z test_max_unpool (__main__.TestPoolingNN) ... ok (0.227s) 2022-11-23T02:15:35.7758138Z test_max_unpool2d_nhwc_cpu (__main__.TestPoolingNN) ... ok (0.003s) 2022-11-23T02:15:35.7758525Z test_AdaptiveMaxPool1d_indices_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.008s) 2022-11-23T02:15:35.7758902Z test_AdaptiveMaxPool2d_indices_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:15:35.7759266Z test_AdaptiveMaxPool3d_indices_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:15:35.7759634Z test_AdaptiveMaxPool_zero_batch_dim_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.016s) 2022-11-23T02:15:35.7759986Z test_AvgPool2d_empty_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.006s) 2022-11-23T02:15:35.7760367Z test_AvgPool3d_backward_after_cat_dim1_device_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:15:35.7760747Z test_FractionalMaxPool2d_zero_batch_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.005s) 2022-11-23T02:15:35.7761120Z test_FractionalMaxPool2d_zero_out_size_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.006s) 2022-11-23T02:15:35.7761494Z test_FractionalMaxPool3d_zero_batch_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.005s) 2022-11-23T02:15:35.7761867Z test_FractionalMaxPool3d_zero_out_size_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:15:35.7762219Z test_MaxPool1d_indices_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:15:35.7762569Z test_MaxPool2d_indices_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:15:35.7762916Z test_MaxPool3d_indices_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:15:35.7763241Z test_MaxPool_zero_batch_dim_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.013s) 2022-11-23T02:15:35.7763666Z test_MaxUnpool_index_errors_case10_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-11-23T02:15:35.7764146Z test_MaxUnpool_index_errors_case1_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-11-23T02:15:35.7764628Z test_MaxUnpool_index_errors_case2_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-11-23T02:15:35.7765148Z test_MaxUnpool_index_errors_case3_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-11-23T02:15:35.7765608Z test_MaxUnpool_index_errors_case4_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-11-23T02:15:35.7766081Z test_MaxUnpool_index_errors_case5_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-11-23T02:15:35.7766550Z test_MaxUnpool_index_errors_case6_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-11-23T02:15:35.7767057Z test_MaxUnpool_index_errors_case7_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-11-23T02:15:35.7767516Z test_MaxUnpool_index_errors_case8_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-11-23T02:15:35.7767983Z test_MaxUnpool_index_errors_case9_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.003s) 2022-11-23T02:15:35.7768390Z test_MaxUnpool_zero_batch_dim_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:15:35.7768751Z test_adaptive_avg_pool2d_output_size_one_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:15:35.7769109Z test_adaptive_avg_pool3d_output_size_one_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:15:35.7769470Z test_adaptive_pool_invalid_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.009s) 2022-11-23T02:15:35.7769878Z test_adaptive_pool_odd_size_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T02:15:35.7770292Z test_adaptive_pooling_max_nhwc_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.008s) 2022-11-23T02:15:35.7770645Z test_adaptive_pooling_max_nhwc_cpu_float64 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.008s) 2022-11-23T02:15:35.7771012Z test_adaptive_pooling_no_suppot_input_cpu_int16 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.021s) 2022-11-23T02:15:35.7771387Z test_adaptive_pooling_no_suppot_input_cpu_int32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.021s) 2022-11-23T02:15:35.7771742Z test_adaptive_pooling_no_suppot_input_cpu_int64 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.021s) 2022-11-23T02:15:35.7772115Z test_adaptive_pooling_no_suppot_input_cpu_int8 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.021s) 2022-11-23T02:15:35.7772489Z test_adaptive_pooling_no_suppot_input_cpu_uint8 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.021s) 2022-11-23T02:15:35.7772856Z test_adaptive_pooling_zero_batch_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:15:35.7773215Z test_adaptive_pooling_zero_batch_cpu_float64 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:15:35.7773565Z test_avg_pool2d_bfloat16_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:15:35.7773901Z test_avg_pool2d_nhwc_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (3.357s) 2022-11-23T02:15:35.7774241Z test_avg_pool2d_nhwc_cpu_float64 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (5.780s) 2022-11-23T02:15:35.7774571Z test_fractional_max_pool2d_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.145s) 2022-11-23T02:15:35.7774912Z test_fractional_max_pool3d_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.903s) 2022-11-23T02:15:35.7775267Z test_fractional_max_pool_nan_inf_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:15:35.7775614Z test_max_pool1d_corner_cases_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:15:35.7775967Z test_max_pool1d_corner_cases_cpu_float64 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:15:35.7776334Z test_max_pool1d_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.312s) 2022-11-23T02:15:35.7776667Z test_max_pool1d_cpu_float64 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.576s) 2022-11-23T02:15:35.7776985Z test_max_pool2d_bfloat16_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:15:35.7777332Z test_max_pool2d_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:15:35.7777698Z test_max_pool2d_indices_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:15:35.7778043Z test_max_pool2d_nhwc_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (3.408s) 2022-11-23T02:15:35.7778435Z test_max_pool2d_nhwc_cpu_float64 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (5.816s) 2022-11-23T02:15:35.7779005Z test_max_pool3d_ndhwc_cpu_float16 (__main__.TestPoolingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.004s) 2022-11-23T02:15:35.7779445Z test_max_pool3d_ndhwc_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.004s) 2022-11-23T02:15:35.7780136Z test_max_pool3d_ndhwc_cpu_float64 (__main__.TestPoolingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.004s) 2022-11-23T02:15:35.7780646Z test_max_pool_nan_inf_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:15:35.7780999Z test_maxpool3d_non_square_backward_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.518s) 2022-11-23T02:15:35.7781353Z test_maxpool_indices_no_batch_dim_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) 2022-11-23T02:15:35.7781675Z Check that indices with no batch dim is consistent with a single batch. ... ok (0.004s) 2022-11-23T02:15:35.7782030Z test_pool3d_large_size_int64_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:15:35.7782413Z test_pool3d_size_one_feature_dim_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:15:35.7782781Z test_pool_invalid_size_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.030s) 2022-11-23T02:15:35.7783111Z test_pool_large_size_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.865s) 2022-11-23T02:15:35.7783462Z test_pooling_bfloat16_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:15:35.7783833Z test_pooling_large_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:15:35.7784184Z test_pooling_max_nhwc_cpu_float32 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.009s) 2022-11-23T02:15:35.7784513Z test_pooling_max_nhwc_cpu_float64 (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.009s) 2022-11-23T02:15:35.7784840Z test_pooling_shape_cpu (__main__.TestPoolingNNDeviceTypeCPU) 2022-11-23T02:15:35.7785145Z Test the output shape calculation for pooling functions ... ok (0.005s) 2022-11-23T02:15:35.7785451Z test_pooling_size_empty_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.019s) 2022-11-23T02:15:35.7785786Z test_pooling_zero_stride_cpu (__main__.TestPoolingNNDeviceTypeCPU) ... ok (0.056s) 2022-11-23T02:15:35.7785971Z 2022-11-23T02:15:35.7786226Z ---------------------------------------------------------------------- 2022-11-23T02:15:35.7786470Z Ran 88 tests in 22.677s 2022-11-23T02:15:35.7786571Z 2022-11-23T02:15:35.7786646Z OK (skipped=23) 2022-11-23T02:15:35.7786756Z 2022-11-23T02:15:35.7786843Z Generating XML reports... 2022-11-23T02:15:35.7787254Z Generated XML report: test-reports/python-unittest/nn.test_pooling/TEST-TestAvgPool-20221123021512.xml 2022-11-23T02:15:35.7787739Z Generated XML report: test-reports/python-unittest/nn.test_pooling/TEST-TestPoolingNN-20221123021512.xml 2022-11-23T02:15:35.7788281Z Generated XML report: test-reports/python-unittest/nn.test_pooling/TEST-TestPoolingNNDeviceTypeCPU-20221123021512.xml 2022-11-23T02:15:35.7788542Z 2022-11-23T02:15:35.7788833Z ##[endgroup] 2022-11-23T02:15:35.7789397Z FINISHED PRINTING LOG FILE of nn/test_pooling (/var/lib/jenkins/workspace/test/test-reports/nn-test_pooling_ugvk0zj7) 2022-11-23T02:15:35.7789619Z 2022-11-23T02:15:35.7789783Z Running test_autograd ... [2022-11-23 02:15:35.775310] 2022-11-23T02:15:35.7790247Z Executing ['/opt/conda/bin/python', '-bb', 'test_autograd.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:15:35.775660] 2022-11-23T02:15:56.0520793Z 2022-11-23T02:15:56.0521488Z Expand the folded group to see the log file of test_autograd 2022-11-23T02:15:56.0522390Z ##[group]PRINTING LOG FILE of test_autograd (/var/lib/jenkins/workspace/test/test-reports/test_autograd_p85wk9jw) 2022-11-23T02:15:56.0523156Z Test results will be stored in test-reports/python-unittest/test_autograd 2022-11-23T02:15:56.0523687Z 2022-11-23T02:15:56.0523782Z Running tests... 2022-11-23T02:15:56.0524263Z ---------------------------------------------------------------------- 2022-11-23T02:15:56.0524758Z test_backward_out_of_context (__main__.TestAllowMutationOnSaved) ... ok (0.022s) 2022-11-23T02:15:56.0525651Z test_basic (__main__.TestAllowMutationOnSaved) ... ok (0.008s) 2022-11-23T02:15:56.0538044Z test_disallow_nesting (__main__.TestAllowMutationOnSaved) ... ok (0.001s) 2022-11-23T02:15:56.0538488Z test_double_backward (__main__.TestAllowMutationOnSaved) ... ok (0.002s) 2022-11-23T02:15:56.0539132Z test_save_base_and_modify_view (__main__.TestAllowMutationOnSaved) ... ok (0.002s) 2022-11-23T02:15:56.0539480Z test_save_view_modify_base (__main__.TestAllowMutationOnSaved) ... ok (0.002s) 2022-11-23T02:15:56.0539807Z test_saved_but_not_anymore (__main__.TestAllowMutationOnSaved) ... ok (0.002s) 2022-11-23T02:15:56.0540151Z test_saved_same_tensor_different_versions (__main__.TestAllowMutationOnSaved) ... ok (0.001s) 2022-11-23T02:15:56.0540496Z test_saved_same_tensor_many_times (__main__.TestAllowMutationOnSaved) ... ok (0.001s) 2022-11-23T02:15:56.0540809Z test_views (__main__.TestAllowMutationOnSaved) ... ok (0.007s) 2022-11-23T02:15:56.0541116Z test_with_math_views (__main__.TestAllowMutationOnSaved) ... ok (0.002s) 2022-11-23T02:15:56.0541413Z test_with_out_variant (__main__.TestAllowMutationOnSaved) ... ok (0.001s) 2022-11-23T02:15:56.0541758Z test_access_saved_tensor_twice_without_recomputation_works (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T02:15:56.0543004Z test_accumulate_grad (__main__.TestAutograd) ... /opt/conda/lib/python3.7/site-packages/torch/autograd/__init__.py:199: UserWarning: Using backward() with create_graph=True will create a reference cycle between the parameter and its gradient which can cause a memory leak. We recommend using autograd.grad when creating the graph to avoid this. If you have to use this function, make sure to reset the .grad fields of your parameters to None after use to break the cycle and avoid the leak. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/autograd/engine.cpp:1127.) 2022-11-23T02:15:56.0543817Z allow_unreachable=True, accumulate_grad=True) # Calls into the C++ engine to run the backward pass 2022-11-23T02:15:56.0544084Z ok (0.002s) 2022-11-23T02:15:56.0544328Z test_accumulate_grad_tensor_reference (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T02:15:56.0544628Z test_accumulate_grad_with_zero_numel_grad (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0545080Z test_anomaly_assign_parent_cleanup (__main__.TestAutograd) ... test_autograd.py:3823: UserWarning: Anomaly Detection has been enabled. This mode will increase the runtime and should only be enabled for debugging. 2022-11-23T02:15:56.0545449Z with detect_anomaly(): 2022-11-23T02:15:56.0545615Z ok (0.002s) 2022-11-23T02:15:56.0545836Z test_anomaly_detect_nan (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T02:15:56.0546218Z test_anomaly_grad_warnings (__main__.TestAutograd) ... ok (0.013s) 2022-11-23T02:15:56.0546506Z test_anomaly_mode_no_check_nan (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0546771Z test_attribute_deletion (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0547181Z test_autograd_inplace_view_of_view (__main__.TestAutograd) ... ok (0.007s) 2022-11-23T02:15:56.0547498Z test_autograd_inplace_views_creation_meta (__main__.TestAutograd) ... ok (0.223s) 2022-11-23T02:15:56.0547800Z test_autograd_inplace_views_cross_dtype (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0548111Z test_autograd_multiple_views_python (__main__.TestAutograd) ... ok (0.005s) 2022-11-23T02:15:56.0548428Z test_autograd_python_custom_function_inplace (__main__.TestAutograd) ... ok (0.009s) 2022-11-23T02:15:56.0548736Z test_autograd_simple_views_python (__main__.TestAutograd) ... ok (0.069s) 2022-11-23T02:15:56.0549013Z test_autograd_views_codegen (__main__.TestAutograd) ... ok (0.018s) 2022-11-23T02:15:56.0549424Z test_backward (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T02:15:56.0549690Z test_backward_badcalls (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0549945Z test_backward_copy (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0550226Z test_backward_create_graph_warns (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0550514Z test_backward_no_grad (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0550807Z test_backward_twice_retained_graph_with_saved_values (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0551154Z test_backward_twice_retained_graph_without_saved_values (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0551481Z test_backward_twice_with_saved_values (__main__.TestAutograd) ... ok (0.006s) 2022-11-23T02:15:56.0551788Z test_backward_twice_without_saved_values (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0552068Z test_backward_with_inputs (__main__.TestAutograd) ... ok (0.004s) 2022-11-23T02:15:56.0552355Z test_backward_with_nonleaf_inputs (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0553182Z test_calculate_shape_util (__main__.TestAutograd) ... /opt/conda/lib/python3.7/site-packages/torch/nested/__init__.py:58: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:179.) 2022-11-23T02:15:56.0553738Z return torch._nested_tensor_from_tensor_list(tensor_list, dtype, None, device, None) 2022-11-23T02:15:56.0553980Z ok (0.002s) 2022-11-23T02:15:56.0554194Z test_callback_adds_callback (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0554480Z test_cant_create_saved_tensors (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0554775Z test_checkpoint_valid_reset_on_error (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0555132Z test_checkpointing (__main__.TestAutograd) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T02:15:56.0555470Z test_checkpointing_non_reentrant_autocast_cpu (__main__.TestAutograd) 2022-11-23T02:15:56.0555876Z Test that autocast args such as the dtype are preserved during non-reentrant ... ok (0.003s) 2022-11-23T02:15:56.0556207Z test_checkpointing_non_reentrant_autocast_gpu (__main__.TestAutograd) 2022-11-23T02:15:56.0556547Z Test that autocast args/kwargs such as the dtype are preserved during ... skip: Test requires CUDA bf16 support (0.000s) 2022-11-23T02:15:56.0556908Z test_checkpointing_without_reentrant_arbitrary_input_output (__main__.TestAutograd) 2022-11-23T02:15:56.0557237Z Ensures checkpointing without reentrant autograd works with functions ... ok (0.003s) 2022-11-23T02:15:56.0557555Z test_checkpointing_without_reentrant_correct_grad (__main__.TestAutograd) 2022-11-23T02:15:56.0557853Z Verifies that correct gradients are calculated for checkpoint ... ok (0.002s) 2022-11-23T02:15:56.0558187Z test_checkpointing_without_reentrant_custom_function_works (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0558516Z test_checkpointing_without_reentrant_dataparallel (__main__.TestAutograd) 2022-11-23T02:15:56.0558831Z Verifies gradient correctness when checkpoint without reentrant autograd ... ok (0.003s) 2022-11-23T02:15:56.0559231Z test_checkpointing_without_reentrant_detached_tensor_use_reentrant_False (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0559611Z test_checkpointing_without_reentrant_detached_tensor_use_reentrant_True (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T02:15:56.0559967Z test_checkpointing_without_reentrant_input_requires_grad_False (__main__.TestAutograd) 2022-11-23T02:15:56.0560335Z Basic test for checkpoint without reentrant autograd. ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s) 2022-11-23T02:15:56.0560706Z test_checkpointing_without_reentrant_input_requires_grad_True (__main__.TestAutograd) 2022-11-23T02:15:56.0561118Z Basic test for checkpoint without reentrant autograd. ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.002s) 2022-11-23T02:15:56.0561517Z test_checkpointing_without_reentrant_memory_savings (__main__.TestAutograd) ... skip: Test requires CUDA (0.002s) 2022-11-23T02:15:56.0561860Z test_checkpointing_without_reentrant_parameter_used_in_an_out (__main__.TestAutograd) 2022-11-23T02:15:56.0562178Z Ensures that gradient hooks are only called once per tensor. ... ok (0.001s) 2022-11-23T02:15:56.0562493Z test_create_graph_and_full_backward_hook_cycle (__main__.TestAutograd) ... ok (0.495s) 2022-11-23T02:15:56.0562807Z test_current_graph_task_execution_order (__main__.TestAutograd) ... ok (0.012s) 2022-11-23T02:15:56.0563088Z test_current_graph_task_id (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0563374Z test_custom_autograd_no_early_free (__main__.TestAutograd) ... ok (0.009s) 2022-11-23T02:15:56.0563679Z test_custom_autograd_repeated_grad_grad (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T02:15:56.0563959Z test_custom_function_cycle (__main__.TestAutograd) ... ok (0.177s) 2022-11-23T02:15:56.0564243Z test_custom_function_error (__main__.TestAutograd) ... ok (0.051s) 2022-11-23T02:15:56.0564698Z test_custom_function_exception (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0565195Z test_custom_function_forward_mode_forward_is_no_op (__main__.TestAutograd) ... ok (0.022s) 2022-11-23T02:15:56.0565705Z test_custom_function_forward_mode_inplace_checks (__main__.TestAutograd) ... ok (0.007s) 2022-11-23T02:15:56.0566219Z test_custom_function_forward_mode_non_tensor_before_tensor_args (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T02:15:56.0566699Z test_custom_function_forward_mode_view_checks (__main__.TestAutograd) ... ok (0.013s) 2022-11-23T02:15:56.0567112Z test_custom_function_forward_mode_wrong_formula (__main__.TestAutograd) ... ok (0.007s) 2022-11-23T02:15:56.0567527Z test_custom_function_local_inplace (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0567921Z test_custom_function_no_tensors (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0568330Z test_custom_function_non_tensor_inputs_outputs (__main__.TestAutograd) ... ok (0.010s) 2022-11-23T02:15:56.0568740Z test_custom_function_return_view_in_nograd (__main__.TestAutograd) ... ok (0.004s) 2022-11-23T02:15:56.0569146Z test_custom_function_save_for_forward (__main__.TestAutograd) ... ok (0.008s) 2022-11-23T02:15:56.0569544Z test_custom_function_saved_tensors (__main__.TestAutograd) ... ok (0.006s) 2022-11-23T02:15:56.0569904Z test_deep_reentrant (__main__.TestAutograd) ... ok (0.203s) 2022-11-23T02:15:56.0570301Z test_default_saved_variable_hooks_double_backward (__main__.TestAutograd) ... ok (0.004s) 2022-11-23T02:15:56.0570685Z test_dep_nograd (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0571022Z test_dependent_backward (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0571374Z test_detach (__main__.TestAutograd) ... ok (0.005s) 2022-11-23T02:15:56.0571684Z test_detach_base (__main__.TestAutograd) 2022-11-23T02:15:56.0572004Z detaching base does not detach view ... ok (0.001s) 2022-11-23T02:15:56.0572364Z test_detach_then_inplace_raises_in_autograd (__main__.TestAutograd) ... ok (0.006s) 2022-11-23T02:15:56.0573149Z test_diagonal_expanded_v (__main__.TestAutograd) ... test_autograd.py:2277: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor). 2022-11-23T02:15:56.0573779Z v_expanded = torch.tensor(value).expand(10) 2022-11-23T02:15:56.0574048Z ok (0.001s) 2022-11-23T02:15:56.0574304Z test_dir (__main__.TestAutograd) ... ok (0.004s) 2022-11-23T02:15:56.0574663Z test_disabling_saved_tensor_hooks (__main__.TestAutograd) ... ok (0.004s) 2022-11-23T02:15:56.0575096Z test_disabling_saved_tensor_hooks_nested (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T02:15:56.0575592Z test_dont_materialize_grads (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0576031Z test_duplicate_backward_root (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0576506Z test_first_grad_fn_access_in_no_grad_mode (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0576940Z test_free_deep_graph (__main__.TestAutograd) ... ok (1.793s) 2022-11-23T02:15:56.0577319Z test_free_deep_graph_complicated (__main__.TestAutograd) ... ok (1.147s) 2022-11-23T02:15:56.0577714Z test_free_deep_graph_pyfunction (__main__.TestAutograd) ... ok (1.285s) 2022-11-23T02:15:56.0578115Z test_full_backward_hook_double_backward (__main__.TestAutograd) ... ok (0.071s) 2022-11-23T02:15:56.0578471Z test_function (__main__.TestAutograd) ... ok (0.006s) 2022-11-23T02:15:56.0579014Z test_function_returns_input (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0579420Z test_function_returns_undefined_tensor (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0579775Z test_gc_in_destructor (__main__.TestAutograd) 2022-11-23T02:15:56.0580172Z Previously, if a Function destructor triggered a garbage collection, ... ok (0.712s) 2022-11-23T02:15:56.0580557Z test_grad (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T02:15:56.0580886Z test_grad_badcalls (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0581251Z test_grad_batched_grad (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T02:15:56.0581620Z test_grad_empty_inputs (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T02:15:56.0582003Z test_grad_fn_attr_bindings (__main__.TestAutograd) ... ok (0.019s) 2022-11-23T02:15:56.0582376Z test_grad_fn_badcalls (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0582767Z test_grad_fn_prehooks (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T02:15:56.0583196Z test_grad_fn_prehooks_multiple_outputs (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T02:15:56.0583619Z test_grad_fn_prehooks_remove_hooks (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T02:15:56.0584062Z test_grad_mode_restored_reentrant (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0590623Z test_grad_nonleaf (__main__.TestAutograd) ... test_autograd.py:601: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.) 2022-11-23T02:15:56.0591927Z self.assertIsNone(x.grad) 2022-11-23T02:15:56.0592541Z ok (0.003s) 2022-11-23T02:15:56.0592930Z test_grad_nonleaf_many_outputs (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0594901Z test_grad_nonleaf_register_hook (__main__.TestAutograd) ... test_autograd.py:653: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.) 2022-11-23T02:15:56.0595648Z self.assertIsNone(x_list[0].grad) 2022-11-23T02:15:56.0596709Z test_autograd.py:660: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.) 2022-11-23T02:15:56.0597452Z self.assertIsNone(x_list[i].grad) 2022-11-23T02:15:56.0597647Z ok (0.003s) 2022-11-23T02:15:56.0597861Z test_grad_unreachable (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0598150Z test_grad_unreachable_discovery (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0598463Z test_gradcheck_backward_mul_by_grad_output (__main__.TestAutograd) ... ok (0.023s) 2022-11-23T02:15:56.0598776Z test_gradcheck_check_batched_grad (__main__.TestAutograd) ... ok (0.052s) 2022-11-23T02:15:56.0599066Z test_gradcheck_check_forward_or_backward_only (__main__.TestAutograd) 2022-11-23T02:15:56.0599387Z Depending on settings for check_forward_ad and check_backward_ad, the ... ok (0.020s) 2022-11-23T02:15:56.0600198Z test_gradcheck_check_no_differentiable_outputs (__main__.TestAutograd) ... /opt/conda/lib/python3.7/site-packages/torch/autograd/gradcheck.py:653: UserWarning: Input #0 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 2022-11-23T02:15:56.0600759Z f'Input #{idx} requires gradient and ' 2022-11-23T02:15:56.0600947Z ok (0.003s) 2022-11-23T02:15:56.0601195Z test_gradcheck_complex_non_complex_outputs (__main__.TestAutograd) ... ok (0.008s) 2022-11-23T02:15:56.0601963Z test_gradcheck_custom_error (__main__.TestAutograd) ... /opt/conda/lib/python3.7/site-packages/torch/autograd/gradcheck.py:653: UserWarning: Input #0 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 2022-11-23T02:15:56.0602526Z f'Input #{idx} requires gradient and ' 2022-11-23T02:15:56.0602821Z ok (0.015s) 2022-11-23T02:15:56.0603249Z test_gradcheck_dense_and_sparse_inputs (__main__.TestAutograd) ... ok (0.007s) 2022-11-23T02:15:56.0603625Z test_gradcheck_forward_ad (__main__.TestAutograd) ... ok (0.113s) 2022-11-23T02:15:56.0603908Z test_gradcheck_forward_ad_batched_grad (__main__.TestAutograd) ... ok (0.009s) 2022-11-23T02:15:56.0604231Z test_gradcheck_forward_ad_respects_requires_grad (__main__.TestAutograd) ... ok (0.007s) 2022-11-23T02:15:56.0604566Z test_gradcheck_forward_ad_runs_with_no_requires_grad (__main__.TestAutograd) ... ok (0.006s) 2022-11-23T02:15:56.0605588Z test_gradcheck_get_analytical_jacobian (__main__.TestAutograd) ... /opt/conda/lib/python3.7/site-packages/torch/autograd/gradcheck.py:580: UserWarning: get_analytical_jacobian was part of PyTorch's private API and not meant to be exposed. We are deprecating it and it will be removed in a future version of PyTorch. If you have a specific use for this or feature request for this to be a stable API, please file us an issue at https://github.com/pytorch/pytorch/issues/new 2022-11-23T02:15:56.0606354Z warnings.warn("get_analytical_jacobian was part of PyTorch's private API and not " 2022-11-23T02:15:56.0606591Z ok (0.009s) 2022-11-23T02:15:56.0607562Z test_gradcheck_get_numerical_jacobian (__main__.TestAutograd) ... /opt/conda/lib/python3.7/site-packages/torch/autograd/gradcheck.py:173: UserWarning: get_numerical_jacobian was part of PyTorch's private API and not meant to be exposed. We are deprecating it and it will be removed in a future version of PyTorch. If you have a specific use for this or feature request for this to be a stable API, please file us an issue at https://github.com/pytorch/pytorch/issues/new 2022-11-23T02:15:56.0608329Z warnings.warn("get_numerical_jacobian was part of PyTorch's private API and not " 2022-11-23T02:15:56.0608574Z ok (0.007s) 2022-11-23T02:15:56.0609262Z test_gradcheck_jacobian_mismatch (__main__.TestAutograd) ... /opt/conda/lib/python3.7/site-packages/torch/autograd/gradcheck.py:653: UserWarning: Input #0 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 2022-11-23T02:15:56.0609845Z f'Input #{idx} requires gradient and ' 2022-11-23T02:15:56.0610040Z ok (0.039s) 2022-11-23T02:15:56.0610754Z test_gradcheck_multiple_mkldnn_inputs (__main__.TestAutograd) ... /opt/conda/lib/python3.7/site-packages/torch/autograd/gradcheck.py:653: UserWarning: Input #1 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 2022-11-23T02:15:56.0611303Z f'Input #{idx} requires gradient and ' 2022-11-23T02:15:56.0611485Z ok (0.015s) 2022-11-23T02:15:56.0611726Z test_gradcheck_nondeterministic (__main__.TestAutograd) ... ok (0.070s) 2022-11-23T02:15:56.0612050Z test_gradcheck_output_shape_or_dtype_depend_on_values (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T02:15:56.0612349Z test_gradcheck_single_input (__main__.TestAutograd) ... ok (0.012s) 2022-11-23T02:15:56.0612963Z test_gradcheck_sparse_csr_input (__main__.TestAutograd) ... test_autograd.py:4081: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/SparseCsrTensorImpl.cpp:56.) 2022-11-23T02:15:56.0613598Z gradcheck(fn, torch.rand(2, 2, dtype=torch.double).to_sparse_csr().requires_grad_(True), check_sparse_nnz=True, 2022-11-23T02:15:56.0613881Z expected failure (0.004s) 2022-11-23T02:15:56.0614118Z test_gradcheck_sparse_input (__main__.TestAutograd) ... ok (0.005s) 2022-11-23T02:15:56.0614872Z test_gradcheck_test_outputs (__main__.TestAutograd) ... /opt/conda/lib/python3.7/site-packages/torch/autograd/gradcheck.py:653: UserWarning: Input #0 requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 2022-11-23T02:15:56.0615413Z f'Input #{idx} requires gradient and ' 2022-11-23T02:15:56.0615609Z ok (0.002s) 2022-11-23T02:15:56.0615831Z test_gradcheck_undefined_grad (__main__.TestAutograd) ... ok (0.010s) 2022-11-23T02:15:56.0616135Z test_gradcheck_validates_input_mkldnn (__main__.TestAutograd) ... ok (0.006s) 2022-11-23T02:15:56.0616438Z test_gradcheck_validates_inputs (__main__.TestAutograd) ... ok (0.007s) 2022-11-23T02:15:56.0616710Z test_graph_save_on_cpu (__main__.TestAutograd) ... ok (0.008s) 2022-11-23T02:15:56.0617013Z test_graph_save_on_cpu_cuda (__main__.TestAutograd) ... skip: test requires CUDA (0.001s) 2022-11-23T02:15:56.0617306Z test_hessian_vector (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0617562Z test_hook_none (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0617807Z test_hook_with_no_name (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0618062Z test_hooks (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T02:15:56.0618309Z test_hooks_cpp (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0618578Z test_index_backward_does_not_save_tensor (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0619077Z test_indexing (__main__.TestAutograd) ... ok (0.020s) 2022-11-23T02:15:56.0619414Z test_indexing_duplicates (__main__.TestAutograd) ... ok (0.004s) 2022-11-23T02:15:56.0619668Z test_inplace (__main__.TestAutograd) ... ok (0.024s) 2022-11-23T02:15:56.0619939Z test_inplace_not_requires_grad (__main__.TestAutograd) ... ok (0.010s) 2022-11-23T02:15:56.0620230Z test_inplace_on_view_backward (__main__.TestAutograd) ... ok (0.006s) 2022-11-23T02:15:56.0620520Z test_inplace_on_view_leaf_errors (__main__.TestAutograd) ... ok (0.004s) 2022-11-23T02:15:56.0620797Z test_inplace_on_view_saved_output (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0621094Z test_inplace_on_view_weak_grad_fn (__main__.TestAutograd) ... ok (0.091s) 2022-11-23T02:15:56.0621413Z test_input_buffer_accum (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0621671Z test_integer_outputs (__main__.TestAutograd) ... ok (0.004s) 2022-11-23T02:15:56.0621940Z test_invalid_gradients (__main__.TestAutograd) ... ok (0.005s) 2022-11-23T02:15:56.0622204Z test_isolated_node (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0622456Z test_leaf_assignment (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0622754Z test_legacy_function_deprecation_exception (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0623585Z test_lobpcg (__main__.TestAutograd) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/80338 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.002s) 2022-11-23T02:15:56.0624133Z test_mark_non_differentiable (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0624432Z test_mark_non_differentiable_mixed (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0624716Z test_mark_non_differentiable_none (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0625003Z test_materialize_grads (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0625276Z test_multi_backward (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0625535Z test_multi_backward_no_grad (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0625810Z test_multi_grad_hooks (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T02:15:56.0626671Z test_named_tensor_for_complex_views (__main__.TestAutograd) ... /opt/conda/lib/python3.7/site-packages/torch/_tensor.py:1093: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /var/lib/jenkins/workspace/c10/core/TensorImpl.h:1787.) 2022-11-23T02:15:56.0627247Z return super(Tensor, self).refine_names(names) 2022-11-23T02:15:56.0627438Z ok (0.001s) 2022-11-23T02:15:56.0627690Z test_naughty_anomaly_access (__main__.TestAutograd) ... expected failure (0.002s) 2022-11-23T02:15:56.0628018Z test_naughty_autograd_function_attribute_access (__main__.TestAutograd) ... ok (0.009s) 2022-11-23T02:15:56.0628328Z test_naughty_autograd_function_stashing_ctx (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0628630Z test_nested_anomaly_detect_nan (__main__.TestAutograd) ... ok (0.005s) 2022-11-23T02:15:56.0628928Z test_nested_anomaly_printstack_cleanup (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0629287Z test_next_functions (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0629535Z test_no_grad (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0629798Z test_no_grad_assignment (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0630068Z test_no_grad_copy (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0630781Z test_no_grad_copy_sparse (__main__.TestAutograd) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2328: UserWarning: Argument order of nn.functional.embedding_bag was changed. Usage `embedding_bag(weight, input, ...)` is deprecated, and should now be `embedding_bag(input, weight, ...)`. 2022-11-23T02:15:56.0631350Z "Argument order of nn.functional.embedding_bag was changed. " 2022-11-23T02:15:56.0631585Z ok (0.006s) 2022-11-23T02:15:56.0631805Z test_no_grad_input (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0632068Z test_no_grad_modifies_version (__main__.TestAutograd) ... ok (0.006s) 2022-11-23T02:15:56.0632343Z test_no_grad_python_function (__main__.TestAutograd) 2022-11-23T02:15:56.0632612Z Python Functions should respect grad mode. ... ok (0.001s) 2022-11-23T02:15:56.0632876Z test_no_requires_grad_inplace (__main__.TestAutograd) ... ok (0.007s) 2022-11-23T02:15:56.0633156Z test_no_unnecessary_save (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0633479Z test_no_unnecessary_unwrapping (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T02:15:56.0633768Z test_not_implemented_fwad (__main__.TestAutograd) ... ok (0.004s) 2022-11-23T02:15:56.0634033Z test_not_implemented_grad (__main__.TestAutograd) ... ok (0.006s) 2022-11-23T02:15:56.0634310Z test_numpy_requires_grad (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0634586Z test_once_differentiable (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0634876Z test_out_variant_raises_when_inputs_require_grad (__main__.TestAutograd) ... ok (0.006s) 2022-11-23T02:15:56.0635209Z test_pack_hook_with_inplace_modification_should_fail (__main__.TestAutograd) ... ok (0.007s) 2022-11-23T02:15:56.0635503Z test_pickle (__main__.TestAutograd) ... ok (0.004s) 2022-11-23T02:15:56.0635770Z test_pow_zero_tensor_gradient (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0636034Z test_power_function (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0636508Z test_profiler (__main__.TestAutograd) ... STAGE:2022-11-23 02:15:45 14464:14464 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T02:15:56.0636993Z STAGE:2022-11-23 02:15:45 14464:14464 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T02:15:56.0637443Z STAGE:2022-11-23 02:15:45 14464:14464 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T02:15:56.0637709Z ok (0.002s) 2022-11-23T02:15:56.0637942Z test_profiler_aggregation_fake (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0638450Z test_profiler_aggregation_lstm (__main__.TestAutograd) ... STAGE:2022-11-23 02:15:45 14464:14464 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T02:15:56.0638933Z STAGE:2022-11-23 02:15:45 14464:14464 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T02:15:56.0639383Z STAGE:2022-11-23 02:15:45 14464:14464 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T02:15:56.0639591Z 2022-11-23T02:15:56.0639718Z =================================================================================================================================================================== 2022-11-23T02:15:56.0639918Z TEST 2022-11-23T02:15:56.0640370Z ----------------------------- ------------ ------------ ------------ ------------ ------------ ------------ ------------------------------------------------ 2022-11-23T02:15:56.0640825Z Name Self CPU % Self CPU CPU total % CPU total CPU time avg # of Calls Input Shapes 2022-11-23T02:15:56.0641381Z ----------------------------- ------------ ------------ ------------ ------------ ------------ ------------ ------------------------------------------------ 2022-11-23T02:15:56.0641813Z aten::addmm 9.23% 2.128ms 9.27% 2.137ms 2.137ms 1 [[80], [15, 10], [10, 80], [], []] 2022-11-23T02:15:56.0642094Z aten::lstm 0.91% 209.000us 4.50% 1.038ms 1.038ms 1 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T02:15:56.0642417Z aten::lstm 0.89% 206.000us 4.41% 1.016ms 1.016ms 1 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T02:15:56.0642713Z aten::lstm 0.89% 205.000us 4.45% 1.025ms 1.025ms 1 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T02:15:56.0642998Z aten::lstm 0.88% 202.000us 4.50% 1.038ms 1.038ms 1 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T02:15:56.0643278Z aten::lstm 0.85% 196.000us 4.52% 1.042ms 1.042ms 1 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T02:15:56.0643595Z aten::lstm 0.85% 195.000us 4.51% 1.041ms 1.041ms 1 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T02:15:56.0643865Z aten::lstm 0.83% 191.000us 4.33% 999.000us 999.000us 1 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T02:15:56.0644162Z aten::lstm 0.83% 191.000us 4.34% 1.000ms 1.000ms 1 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T02:15:56.0644452Z aten::lstm 0.82% 188.000us 4.42% 1.020ms 1.020ms 1 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T02:15:56.0644972Z ----------------------------- ------------ ------------ ------------ ------------ ------------ ------------ ------------------------------------------------ 2022-11-23T02:15:56.0645326Z Self CPU time total: 23.058ms 2022-11-23T02:15:56.0645438Z 2022-11-23T02:15:56.0645799Z ----------------------------- ------------ ------------ ------------ ------------ ------------ ------------ ------------------------------------------------ 2022-11-23T02:15:56.0646246Z Name Self CPU % Self CPU CPU total % CPU total CPU time avg # of Calls Input Shapes 2022-11-23T02:15:56.0646792Z ----------------------------- ------------ ------------ ------------ ------------ ------------ ------------ ------------------------------------------------ 2022-11-23T02:15:56.0647192Z aten::lstm 16.06% 3.703ms 98.29% 22.663ms 1.133ms 20 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T02:15:56.0647470Z aten::addmm 10.80% 2.491ms 11.35% 2.616ms 130.800us 20 [[80], [15, 10], [10, 80], [], []] 2022-11-23T02:15:56.0647763Z aten::addmm 9.90% 2.282ms 11.97% 2.760ms 13.800us 200 [[80], [3, 20], [20, 80], [], []] 2022-11-23T02:15:56.0648188Z aten::mul 8.47% 1.952ms 8.47% 1.952ms 3.253us 600 [[3, 20], [3, 20]] 2022-11-23T02:15:56.0648485Z aten::sigmoid_ 7.15% 1.648ms 7.15% 1.648ms 2.747us 600 [[3, 20]] 2022-11-23T02:15:56.0648789Z aten::unsafe_split 5.96% 1.374ms 14.75% 3.400ms 17.000us 200 [[3, 80], [], []] 2022-11-23T02:15:56.0649097Z aten::slice 4.51% 1.039ms 4.51% 1.040ms 1.300us 800 [[3, 80], [], [], [], []] 2022-11-23T02:15:56.0649376Z aten::narrow 4.27% 985.000us 8.47% 1.952ms 2.440us 800 [[3, 80], [], [], []] 2022-11-23T02:15:56.0649669Z aten::tanh_ 3.20% 738.000us 3.20% 738.000us 3.690us 200 [[3, 20]] 2022-11-23T02:15:56.0649990Z aten::linear 3.00% 691.000us 17.87% 4.120ms 20.600us 200 [[3, 20], [80, 20], [80]] 2022-11-23T02:15:56.0650508Z ----------------------------- ------------ ------------ ------------ ------------ ------------ ------------ ------------------------------------------------ 2022-11-23T02:15:56.0650845Z Self CPU time total: 23.058ms 2022-11-23T02:15:56.0650968Z 2022-11-23T02:15:56.0651092Z =================================================================================================================================================================== 2022-11-23T02:15:56.0651323Z TEST 2022-11-23T02:15:56.0651536Z =================================================================================================================================================================== 2022-11-23T02:15:56.0651823Z This report only display top-level ops statistics 2022-11-23T02:15:56.0652337Z ----------------------------- ------------ ------------ ------------ ------------ ------------ ------------ ------------------------------------------------ 2022-11-23T02:15:56.0652789Z Name Self CPU % Self CPU CPU total % CPU total CPU time avg # of Calls Input Shapes 2022-11-23T02:15:56.0653345Z ----------------------------- ------------ ------------ ------------ ------------ ------------ ------------ ------------------------------------------------ 2022-11-23T02:15:56.0653746Z aten::lstm 0.91% 209.000us 4.50% 1.038ms 1.038ms 1 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T02:15:56.0654026Z aten::lstm 0.89% 206.000us 4.41% 1.016ms 1.016ms 1 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T02:15:56.0654317Z aten::lstm 0.89% 205.000us 4.45% 1.025ms 1.025ms 1 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T02:15:56.0654601Z aten::lstm 0.88% 202.000us 4.50% 1.038ms 1.038ms 1 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T02:15:56.0654887Z aten::lstm 0.85% 196.000us 4.52% 1.042ms 1.042ms 1 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T02:15:56.0655169Z aten::lstm 0.85% 195.000us 4.51% 1.041ms 1.041ms 1 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T02:15:56.0655439Z aten::lstm 0.83% 191.000us 4.33% 999.000us 999.000us 1 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T02:15:56.0655722Z aten::lstm 0.83% 191.000us 4.34% 1.000ms 1.000ms 1 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T02:15:56.0656011Z aten::lstm 0.82% 188.000us 4.42% 1.020ms 1.020ms 1 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T02:15:56.0656295Z aten::lstm 0.81% 187.000us 4.46% 1.029ms 1.029ms 1 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T02:15:56.0656801Z ----------------------------- ------------ ------------ ------------ ------------ ------------ ------------ ------------------------------------------------ 2022-11-23T02:15:56.0657134Z Self CPU time total: 23.058ms 2022-11-23T02:15:56.0657257Z 2022-11-23T02:15:56.0657379Z =================================================================================================================================================================== 2022-11-23T02:15:56.0657680Z This report only display top-level ops statistics 2022-11-23T02:15:56.0658231Z ----------------------------- ------------ ------------ ------------ ------------ ------------ ------------ ------------------------------------------------ 2022-11-23T02:15:56.0658664Z Name Self CPU % Self CPU CPU total % CPU total CPU time avg # of Calls Input Shapes 2022-11-23T02:15:56.0659384Z ----------------------------- ------------ ------------ ------------ ------------ ------------ ------------ ------------------------------------------------ 2022-11-23T02:15:56.0659795Z aten::lstm 16.06% 3.703ms 98.29% 22.663ms 1.133ms 20 [[5, 3, 10], [], [], [], [], [], [], [], []] 2022-11-23T02:15:56.0660152Z aten::randn 0.85% 195.000us 1.64% 379.000us 6.317us 60 [[], [], [], [], []] 2022-11-23T02:15:56.0660454Z aten::normal_ 0.20% 47.000us 0.20% 47.000us 2.350us 20 [[5, 3, 10], [], [], []] 2022-11-23T02:15:56.0660952Z ----------------------------- ------------ ------------ ------------ ------------ ------------ ------------ ------------------------------------------------ 2022-11-23T02:15:56.0661307Z Self CPU time total: 23.058ms 2022-11-23T02:15:56.0661431Z 2022-11-23T02:15:56.0661549Z Total time based on python measurements: 24.864ms 2022-11-23T02:15:56.0661812Z CPU time measurement python side overhead: 7.83% 2022-11-23T02:15:56.0662011Z ok (1.309s) 2022-11-23T02:15:56.0662235Z test_profiler_aggregation_table (__main__.TestAutograd) 2022-11-23T02:15:56.0662744Z Test if the profiling result is aggregated for `str(prof)` ... STAGE:2022-11-23 02:15:46 14464:14464 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T02:15:56.0663230Z STAGE:2022-11-23 02:15:46 14464:14464 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T02:15:56.0663685Z STAGE:2022-11-23 02:15:46 14464:14464 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T02:15:56.0663948Z ok (0.003s) 2022-11-23T02:15:56.0664167Z test_profiler_function_event_avg (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0664664Z test_profiler_propagation (__main__.TestAutograd) ... STAGE:2022-11-23 02:15:46 14464:14464 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T02:15:56.0665152Z STAGE:2022-11-23 02:15:46 14464:14464 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T02:15:56.0665604Z STAGE:2022-11-23 02:15:46 14464:14464 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T02:15:56.0665855Z ok (0.047s) 2022-11-23T02:15:56.0666613Z test_profiler_seq_nr (__main__.TestAutograd) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/66893 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.002s) 2022-11-23T02:15:56.0667365Z test_profiler_shapes (__main__.TestAutograd) ... STAGE:2022-11-23 02:15:46 14464:14464 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T02:15:56.0667850Z STAGE:2022-11-23 02:15:46 14464:14464 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T02:15:56.0668299Z STAGE:2022-11-23 02:15:46 14464:14464 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T02:15:56.0668489Z 2022-11-23T02:15:56.0668831Z ---------------------- ------------ ------------ ------------ ------------ ------------ ------------ --------------------------------------- 2022-11-23T02:15:56.0669334Z Name Self CPU % Self CPU CPU total % CPU total CPU time avg # of Calls Input Shapes 2022-11-23T02:15:56.0669920Z ---------------------- ------------ ------------ ------------ ------------ ------------ ------------ --------------------------------------- 2022-11-23T02:15:56.0670320Z aten::linear 5.26% 6.000us 74.56% 85.000us 85.000us 1 [[128, 20], [30, 20], [30]] 2022-11-23T02:15:56.0670599Z aten::t 10.53% 12.000us 16.67% 19.000us 19.000us 1 [[30, 20]] 2022-11-23T02:15:56.0670894Z aten::transpose 4.39% 5.000us 6.14% 7.000us 7.000us 1 [[30, 20], [], []] 2022-11-23T02:15:56.0671225Z aten::as_strided 1.75% 2.000us 1.75% 2.000us 2.000us 1 [[30, 20], [], [], []] 2022-11-23T02:15:56.0671523Z aten::addmm 43.86% 50.000us 52.63% 60.000us 60.000us 1 [[30], [128, 20], [20, 30], [], []] 2022-11-23T02:15:56.0671822Z aten::expand 2.63% 3.000us 2.63% 3.000us 3.000us 1 [[30], [], []] 2022-11-23T02:15:56.0672099Z aten::as_strided 0.00% 0.000us 0.00% 0.000us 0.000us 1 [[30], [], [], []] 2022-11-23T02:15:56.0672395Z aten::copy_ 6.14% 7.000us 6.14% 7.000us 7.000us 1 [[128, 30], [128, 30], []] 2022-11-23T02:15:56.0672685Z aten::resolve_conj 0.00% 0.000us 0.00% 0.000us 0.000us 1 [[128, 30]] 2022-11-23T02:15:56.0672984Z aten::resolve_conj 0.00% 0.000us 0.00% 0.000us 0.000us 1 [[128, 20]] 2022-11-23T02:15:56.0673271Z aten::linear 1.75% 2.000us 25.44% 29.000us 29.000us 1 [[128, 30], [40, 30], [40]] 2022-11-23T02:15:56.0673546Z aten::t 2.63% 3.000us 4.39% 5.000us 5.000us 1 [[40, 30]] 2022-11-23T02:15:56.0673837Z aten::transpose 1.75% 2.000us 1.75% 2.000us 2.000us 1 [[40, 30], [], []] 2022-11-23T02:15:56.0674127Z aten::as_strided 0.00% 0.000us 0.00% 0.000us 0.000us 1 [[40, 30], [], [], []] 2022-11-23T02:15:56.0674413Z aten::addmm 14.91% 17.000us 19.30% 22.000us 22.000us 1 [[40], [128, 30], [30, 40], [], []] 2022-11-23T02:15:56.0674701Z aten::expand 0.88% 1.000us 0.88% 1.000us 1.000us 1 [[40], [], []] 2022-11-23T02:15:56.0674979Z aten::as_strided 0.00% 0.000us 0.00% 0.000us 0.000us 1 [[40], [], [], []] 2022-11-23T02:15:56.0675264Z aten::copy_ 3.51% 4.000us 3.51% 4.000us 4.000us 1 [[128, 40], [128, 40], []] 2022-11-23T02:15:56.0675549Z aten::resolve_conj 0.00% 0.000us 0.00% 0.000us 0.000us 1 [[128, 40]] 2022-11-23T02:15:56.0675841Z aten::resolve_conj 0.00% 0.000us 0.00% 0.000us 0.000us 1 [[128, 30]] 2022-11-23T02:15:56.0676333Z ---------------------- ------------ ------------ ------------ ------------ ------------ ------------ --------------------------------------- 2022-11-23T02:15:56.0676656Z Self CPU time total: 114.000us 2022-11-23T02:15:56.0676778Z 2022-11-23T02:15:56.0676844Z ok (0.004s) 2022-11-23T02:15:56.0677312Z test_profiler_unboxed_only (__main__.TestAutograd) ... STAGE:2022-11-23 02:15:46 14464:14464 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T02:15:56.0677807Z STAGE:2022-11-23 02:15:46 14464:14464 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T02:15:56.0678247Z STAGE:2022-11-23 02:15:46 14464:14464 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T02:15:56.0678510Z ok (0.001s) 2022-11-23T02:15:56.0678745Z test_pynode_destruction_deadlock (__main__.TestAutograd) ... ok (1.336s) 2022-11-23T02:15:56.0679218Z test_record_function (__main__.TestAutograd) ... STAGE:2022-11-23 02:15:48 14464:14464 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T02:15:56.0679732Z STAGE:2022-11-23 02:15:48 14464:14464 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T02:15:56.0680185Z STAGE:2022-11-23 02:15:48 14464:14464 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T02:15:56.0680628Z STAGE:2022-11-23 02:15:48 14464:14464 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T02:15:56.0681051Z STAGE:2022-11-23 02:15:48 14464:14464 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T02:15:56.0681500Z STAGE:2022-11-23 02:15:48 14464:14464 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T02:15:56.0681762Z ok (0.005s) 2022-11-23T02:15:56.0682189Z test_record_function_callbacks (__main__.TestAutograd) ... STAGE:2022-11-23 02:15:48 14464:14464 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T02:15:56.0682677Z STAGE:2022-11-23 02:15:48 14464:14464 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T02:15:56.0683129Z STAGE:2022-11-23 02:15:48 14464:14464 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T02:15:56.0683389Z ok (0.002s) 2022-11-23T02:15:56.0683809Z test_record_function_legacy (__main__.TestAutograd) ... STAGE:2022-11-23 02:15:48 14464:14464 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T02:15:56.0684297Z STAGE:2022-11-23 02:15:48 14464:14464 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T02:15:56.0684748Z STAGE:2022-11-23 02:15:48 14464:14464 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T02:15:56.0685010Z ok (0.002s) 2022-11-23T02:15:56.0685237Z test_record_function_multithreaded (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0685534Z test_reentrant_child_error (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0685813Z test_reentrant_priority (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T02:15:56.0686099Z test_reentrant_with_callbacks_both_depths (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0686414Z test_reentrant_with_callbacks_depth_0 (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0686714Z test_reentrant_with_callbacks_depth_1 (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0687019Z test_reentrant_with_leaf_variable_hook (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0687313Z test_reentrant_with_non_leaf_variable_hook (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0687597Z test_requires_grad (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0687861Z test_requires_grad_ (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0688123Z test_requires_grad_inplace (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0688391Z test_retain_grad (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0688654Z test_retain_grad_cycle (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0688914Z test_retain_grad_inplace (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0689202Z test_retain_grad_inplace_over_view (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0689489Z test_return_duplicate (__main__.TestAutograd) ... ok (0.005s) 2022-11-23T02:15:56.0689770Z test_return_duplicate_inplace (__main__.TestAutograd) ... ok (0.005s) 2022-11-23T02:15:56.0690067Z test_return_leaf (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0690338Z test_return_leaf_inplace (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0690612Z test_save_none_for_backward (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0690881Z test_save_on_cpu_and_checkpoint (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T02:15:56.0691159Z test_save_output_nr (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0691494Z test_saved_variable_packing_unpacking_did_not_save_original_with_default_hooks (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0691882Z test_saved_variable_packing_unpacking_did_not_save_original_with_hooks (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0692279Z test_saved_variable_packing_unpacking_saved_original_with_default_hooks (__main__.TestAutograd) ... ok (0.005s) 2022-11-23T02:15:56.0692646Z test_saved_variable_packing_unpacking_saved_original_with_hooks (__main__.TestAutograd) ... ok (0.013s) 2022-11-23T02:15:56.0692997Z test_saved_variable_saved_original_inplace_detach (__main__.TestAutograd) ... ok (0.006s) 2022-11-23T02:15:56.0693296Z test_saved_variable_version_counter (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0693594Z test_saved_variables_deprecated (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0693883Z test_saving_variable_to_disk (__main__.TestAutograd) ... ok (0.009s) 2022-11-23T02:15:56.0694162Z test_select_expanded_v (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0694411Z test_select_sum (__main__.TestAutograd) ... ok (0.004s) 2022-11-23T02:15:56.0694678Z test_set_data_preserve_pyobj (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0694965Z test_set_data_self_requires_grad (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0695239Z test_set_data_tensorimpl_type (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0695520Z test_set_grad_coroutines (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0695817Z test_set_grad_coroutines_benign_exceptions (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0696135Z test_set_grad_coroutines_critical_exceptions (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0696425Z test_set_grad_coroutines_exit (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0696826Z test_set_grad_enabled (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0697113Z test_set_grad_generator_functions (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0697411Z test_set_grad_generator_functions_recursive (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0697695Z test_setitem (__main__.TestAutograd) ... ok (0.015s) 2022-11-23T02:15:56.0697957Z test_setitem_mask (__main__.TestAutograd) ... ok (0.004s) 2022-11-23T02:15:56.0698257Z test_setting_default_saved_variable_hooks_twice_should_not_fail (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0698624Z test_setting_default_saved_variable_hooks_twice_should_use_inner (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0699074Z test_shape (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0699332Z test_sharded_grad (__main__.TestAutograd) ... ok (0.004s) 2022-11-23T02:15:56.0699585Z test_simple_reentrant (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0699853Z test_slice_expanded_v (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0700134Z test_sparse_gather_both_scalar (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0700402Z test_sparse_gather_dim0 (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0700673Z test_sparse_gather_dim1 (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0700954Z test_sparse_gather_dim_neg (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0701242Z test_sparse_gather_ind_scalar (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0701518Z test_sparse_gather_x_scalar (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0701852Z test_sparse_mm_backward (__main__.TestAutograd) ... ok (0.008s) 2022-11-23T02:15:56.0702287Z test_symeig_no_eigenvectors (__main__.TestAutograd) ... test_autograd.py:3933: UserWarning: torch.symeig is deprecated in favor of torch.linalg.eigh and will be removed in a future PyTorch release. 2022-11-23T02:15:56.0702775Z The default behavior has changed from using the upper triangular portion of the matrix by default to using the lower triangular portion. 2022-11-23T02:15:56.0703099Z L, _ = torch.symeig(A, upper=upper) 2022-11-23T02:15:56.0703307Z should be replaced with 2022-11-23T02:15:56.0703624Z L = torch.linalg.eigvalsh(A, UPLO='U' if upper else 'L') 2022-11-23T02:15:56.0703866Z and 2022-11-23T02:15:56.0704054Z L, V = torch.symeig(A, eigenvectors=True) 2022-11-23T02:15:56.0704264Z should be replaced with 2022-11-23T02:15:56.0704719Z L, V = torch.linalg.eigh(A, UPLO='U' if upper else 'L') (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/BatchLinearAlgebra.cpp:2909.) 2022-11-23T02:15:56.0705089Z w, v = torch.symeig(A, eigenvectors=False) 2022-11-23T02:15:56.0705295Z ok (0.006s) 2022-11-23T02:15:56.0705512Z test_tensor_grad_warnings (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0705789Z test_thread_shutdown (__main__.TestAutograd) ... ok (1.344s) 2022-11-23T02:15:56.0706058Z test_too_many_grads (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T02:15:56.0706326Z test_type_conversions (__main__.TestAutograd) ... ok (0.005s) 2022-11-23T02:15:56.0706579Z test_unrelated_inputs (__main__.TestAutograd) ... ok (0.005s) 2022-11-23T02:15:56.0706844Z test_unused_output (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0707127Z test_var_mean_differentiable (__main__.TestAutograd) ... ok (0.003s) 2022-11-23T02:15:56.0707394Z test_variable_traverse (__main__.TestAutograd) ... ok (0.130s) 2022-11-23T02:15:56.0707664Z test_version_counter (__main__.TestAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0707934Z test_volatile_deprecated (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0708203Z test_will_engine_execute_node (__main__.TestAutograd) ... ok (0.007s) 2022-11-23T02:15:56.0708503Z test_wrapped_number_saved_variable_hooks (__main__.TestAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0708843Z test_view_func_for_complex_views (autograd.test_complex.TestAutogradComplex) ... ok (0.003s) 2022-11-23T02:15:56.0709262Z test_view_with_multi_output (autograd.test_complex.TestAutogradComplex) ... ok (0.007s) 2022-11-23T02:15:56.0709649Z test_advanced_indexing_backwards_large_cpu (__main__.TestAutogradDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:15:56.0710053Z test_advanced_indexing_backwards_memory_format_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:15:56.0710449Z test_backward_device_cpu (__main__.TestAutogradDeviceTypeCPU) ... skip: fewer than 2 devices detected (0.001s) 2022-11-23T02:15:56.0710795Z test_copy__cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:15:56.0711121Z test_copy_forward_ad_broadcasting_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:15:56.0711493Z test_copy_forward_ad_same_layout_copies_grad_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:15:56.0711840Z test_copy_r_to_c_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:15:56.0712198Z test_cross_device_reentrant_autograd_cpu (__main__.TestAutogradDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:15:56.0712599Z test_free_unneeded_tensor_cpu (__main__.TestAutogradDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:15:56.0712955Z test_grad_assignment_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.011s) 2022-11-23T02:15:56.0713340Z test_gradcheck_input_output_different_device_cpu (__main__.TestAutogradDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:15:56.0713724Z test_inplace_multiple_output_view_of_view_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:15:56.0714128Z test_inplace_on_view_backprop_base_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:15:56.0715404Z test_inplace_on_view_backprop_view_cpu (__main__.TestAutogradDeviceTypeCPU) ... test_autograd.py:8638: UserWarning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (Triggered internally at /var/lib/jenkins/workspace/build/aten/src/ATen/core/TensorBody.h:485.) 2022-11-23T02:15:56.0716217Z self.assertIsNone(a.grad) 2022-11-23T02:15:56.0716411Z ok (0.001s) 2022-11-23T02:15:56.0716674Z test_inplace_on_view_backprop_view_of_view_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:15:56.0717039Z test_inplace_on_view_gradcheck_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.010s) 2022-11-23T02:15:56.0717405Z test_inplace_on_view_makes_base_require_grad_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.005s) 2022-11-23T02:15:56.0717755Z test_inplace_on_view_modify_base_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:15:56.0718112Z test_inplace_on_view_multi_output_safe_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.010s) 2022-11-23T02:15:56.0718473Z test_inplace_on_view_multi_output_unsafe_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:15:56.0718835Z test_inplace_on_view_multiple_outputs_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:15:56.0719175Z test_inplace_on_view_non_contig_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:15:56.0719535Z test_inplace_on_view_of_multiple_output_view_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:15:56.0719891Z test_inplace_on_view_of_view_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:15:56.0720220Z test_inplace_on_view_python_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.009s) 2022-11-23T02:15:56.0720560Z test_inplace_on_view_then_no_grad_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:15:56.0720945Z test_inputbuffer_add_multidevice_cpu (__main__.TestAutogradDeviceTypeCPU) ... skip: fewer than 2 devices detected (0.001s) 2022-11-23T02:15:56.0721341Z test_min_max_median_backprops_to_all_values_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:15:56.0721677Z test_mv_grad_stride_0_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:15:56.0722013Z test_non_differentiable_ops_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:15:56.0722350Z test_parameter_resize_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:15:56.0722692Z test_pin_memory_cpu (__main__.TestAutogradDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:15:56.0723019Z test_profiler_emit_itt_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:15:56.0723370Z test_profiler_emit_nvtx_cpu (__main__.TestAutogradDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:15:56.0723723Z test_pyscalar_conversions_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:15:56.0724084Z test_reentrant_parent_error_on_cpu_cpu (__main__.TestAutogradDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:15:56.0724458Z test_requires_grad_factory_cpu_float32 (__main__.TestAutogradDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:15:56.0724814Z test_requires_grad_factory_cpu_float64 (__main__.TestAutogradDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:15:56.0725198Z test_rnn_backward_to_input_but_not_parameters_cpu (__main__.TestAutogradDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:15:56.0726123Z test_scatter_index_reduce_amin_amax_backprops_to_all_values_cpu (__main__.TestAutogradDeviceTypeCPU) ... /opt/conda/lib/python3.7/site-packages/torch/autograd/gradcheck.py:1427: UserWarning: scatter_reduce() is in beta and the API may change at any time. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1681.) 2022-11-23T02:15:56.0726674Z func_out = func(*tupled_inputs) 2022-11-23T02:15:56.0727301Z /opt/conda/lib/python3.7/site-packages/torch/autograd/gradcheck.py:1427: UserWarning: index_reduce() is in beta and the API may change at any time. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1070.) 2022-11-23T02:15:56.0727808Z func_out = func(*tupled_inputs) 2022-11-23T02:15:56.0727980Z ok (0.006s) 2022-11-23T02:15:56.0728266Z test_scatter_index_reduce_prod_gradgrad_error_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.009s) 2022-11-23T02:15:56.0728658Z test_set_requires_grad_only_for_floats_cpu_float32 (__main__.TestAutogradDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:15:56.0729038Z test_set_requires_grad_only_for_floats_cpu_float64 (__main__.TestAutogradDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:15:56.0729401Z test_set_requires_grad_only_for_floats_cpu_int16 (__main__.TestAutogradDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:15:56.0729773Z test_set_requires_grad_only_for_floats_cpu_int32 (__main__.TestAutogradDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:15:56.0730140Z test_set_requires_grad_only_for_floats_cpu_int64 (__main__.TestAutogradDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:15:56.0730512Z test_set_requires_grad_only_for_floats_cpu_int8 (__main__.TestAutogradDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:15:56.0730886Z test_simple_reentrant_cross_device_cpu (__main__.TestAutogradDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:15:56.0731259Z test_sparse_backward_cpu_complex128 (__main__.TestAutogradDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:15:56.0731614Z test_sparse_backward_cpu_float64 (__main__.TestAutogradDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:15:56.0731962Z test_sparse_ctor_getter_backward_cpu_complex128 (__main__.TestAutogradDeviceTypeCPU) ... ok (0.026s) 2022-11-23T02:15:56.0732335Z test_sparse_ctor_getter_backward_cpu_float64 (__main__.TestAutogradDeviceTypeCPU) ... ok (0.015s) 2022-11-23T02:15:56.0732687Z test_sparse_mask_autograd_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:15:56.0733033Z test_strided_leaf_grad_layout_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.005s) 2022-11-23T02:15:56.0733346Z test_to_r_to_c_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:15:56.0733708Z test_unused_output_device_cpu (__main__.TestAutogradDeviceTypeCPU) ... skip: fewer than 2 devices detected (0.001s) 2022-11-23T02:15:56.0734078Z test_warning_in_backward_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:15:56.0734413Z test_where_functional_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:15:56.0734726Z test_where_scalar_cpu (__main__.TestAutogradDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:15:56.0735517Z test_advanced_packing_unpacking (__main__.TestAutogradForwardMode) ... /opt/conda/lib/python3.7/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T02:15:56.0736031Z warnings.warn(message, UserWarning) 2022-11-23T02:15:56.0736219Z ok (0.005s) 2022-11-23T02:15:56.0736477Z test_backward_graph_destruction (__main__.TestAutogradForwardMode) ... ok (0.001s) 2022-11-23T02:15:56.0736817Z test_basic_packing_unpacking (__main__.TestAutogradForwardMode) ... ok (0.002s) 2022-11-23T02:15:56.0737158Z test_codegen_ignores_undefined_outputs (__main__.TestAutogradForwardMode) ... ok (0.007s) 2022-11-23T02:15:56.0737490Z test_create_new_zeros_with_same_meta (__main__.TestAutogradForwardMode) ... ok (0.008s) 2022-11-23T02:15:56.0737854Z test_default_level (__main__.TestAutogradForwardMode) ... ok (0.001s) 2022-11-23T02:15:56.0738167Z test_detach_view_tracking (__main__.TestAutogradForwardMode) ... ok (0.001s) 2022-11-23T02:15:56.0738476Z test_forward_level_cleanup (__main__.TestAutogradForwardMode) ... ok (0.001s) 2022-11-23T02:15:56.0738940Z test_grad_cleanup (__main__.TestAutogradForwardMode) ... ok (0.002s) 2022-11-23T02:15:56.0739279Z test_make_dual_forbid_integral_dtype (__main__.TestAutogradForwardMode) ... ok (0.001s) 2022-11-23T02:15:56.0739640Z test_make_dual_inference_tensor_in_inference_mode (__main__.TestAutogradForwardMode) ... ok (0.001s) 2022-11-23T02:15:56.0740033Z test_make_dual_torch_dispatch (__main__.TestAutogradForwardMode) ... ok (0.002s) 2022-11-23T02:15:56.0740362Z test_metadata_check_check_conj (__main__.TestAutogradForwardMode) ... ok (0.002s) 2022-11-23T02:15:56.0740710Z test_metadata_check_checks_ignores_size_zero (__main__.TestAutogradForwardMode) ... ok (0.003s) 2022-11-23T02:15:56.0741067Z test_metadata_check_checks_storage_numel (__main__.TestAutogradForwardMode) ... ok (0.001s) 2022-11-23T02:15:56.0741433Z test_metadata_check_ignore_storage_offset_for_zero_numel_tensor (__main__.TestAutogradForwardMode) ... ok (0.001s) 2022-11-23T02:15:56.0741806Z test_metadata_check_when_primal_has_conj_bit (__main__.TestAutogradForwardMode) ... ok (0.001s) 2022-11-23T02:15:56.0742162Z test_metadata_check_when_primal_has_neg_bit (__main__.TestAutogradForwardMode) ... ok (0.001s) 2022-11-23T02:15:56.0742474Z test_nested_level (__main__.TestAutogradForwardMode) ... ok (0.003s) 2022-11-23T02:15:56.0742785Z test_non_differentiable (__main__.TestAutogradForwardMode) ... ok (0.001s) 2022-11-23T02:15:56.0743096Z test_out_variant (__main__.TestAutogradForwardMode) ... ok (0.005s) 2022-11-23T02:15:56.0743386Z test_print (__main__.TestAutogradForwardMode) ... ok (0.002s) 2022-11-23T02:15:56.0743697Z test_set_fw_grad_having_own_fw_grad_at_same_level (__main__.TestAutogradForwardMode) ... ok (0.004s) 2022-11-23T02:15:56.0744024Z test_size_check (__main__.TestAutogradForwardMode) ... ok (0.004s) 2022-11-23T02:15:56.0744346Z test_view_inplace_always_creates_a_view (__main__.TestAutogradForwardMode) ... ok (0.003s) 2022-11-23T02:15:56.0744681Z test_view_inplace_differentiable_views (__main__.TestAutogradForwardMode) ... ok (0.003s) 2022-11-23T02:15:56.0745031Z test_view_inplace_non_differentiable_views (__main__.TestAutogradForwardMode) ... ok (0.003s) 2022-11-23T02:15:56.0745404Z test_inplace_on_view_not_same_layout (__main__.TestAutogradForwardModeBatchedGrad) ... ok (0.001s) 2022-11-23T02:15:56.0745789Z test_inplace_on_view_same_layout (__main__.TestAutogradForwardModeBatchedGrad) ... ok (0.001s) 2022-11-23T02:15:56.0746174Z test_metadata_check_for_storage_numel_skipped (__main__.TestAutogradForwardModeBatchedGrad) ... ok (0.005s) 2022-11-23T02:15:56.0746557Z test_out_of_place_basic (__main__.TestAutogradForwardModeBatchedGrad) ... ok (0.007s) 2022-11-23T02:15:56.0746931Z test_out_of_place_not_same_layout (__main__.TestAutogradForwardModeBatchedGrad) ... ok (0.001s) 2022-11-23T02:15:56.0747318Z test_construct_standard_basis_for_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s) 2022-11-23T02:15:56.0747766Z test_construct_standard_basis_for_cuda_base_tensor (autograd.test_functional.TestAutogradFunctional) ... skip: test requires CUDA (0.000s) 2022-11-23T02:15:56.0748238Z test_construct_standard_basis_for_cuda_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... skip: test requires CUDA (0.000s) 2022-11-23T02:15:56.0748687Z test_construct_standard_basis_for_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.013s) 2022-11-23T02:15:56.0749105Z test_hessian_create_graph_vectorize_False_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.143s) 2022-11-23T02:15:56.0749617Z test_hessian_create_graph_vectorize_False_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.910s) 2022-11-23T02:15:56.0750112Z test_hessian_create_graph_vectorize_True_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.074s) 2022-11-23T02:15:56.0750556Z test_hessian_create_graph_vectorize_True_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.405s) 2022-11-23T02:15:56.0750968Z test_hessian_err_check_strict_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s) 2022-11-23T02:15:56.0751384Z test_hessian_err_check_strict_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.009s) 2022-11-23T02:15:56.0751805Z test_hessian_err_check_strict_vectorize_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.001s) 2022-11-23T02:15:56.0752274Z test_hessian_err_check_strict_vectorize_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T02:15:56.0752692Z test_hessian_err_check_vectorize_False_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s) 2022-11-23T02:15:56.0753127Z test_hessian_err_check_vectorize_False_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.016s) 2022-11-23T02:15:56.0753556Z test_hessian_err_check_vectorize_True_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s) 2022-11-23T02:15:56.0753990Z test_hessian_err_check_vectorize_True_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.008s) 2022-11-23T02:15:56.0754396Z test_hessian_match_vhp_hvp_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s) 2022-11-23T02:15:56.0754802Z test_hessian_match_vhp_hvp_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.011s) 2022-11-23T02:15:56.0755202Z test_hessian_no_grad_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s) 2022-11-23T02:15:56.0755598Z test_hessian_no_grad_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.010s) 2022-11-23T02:15:56.0755979Z test_hessian_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s) 2022-11-23T02:15:56.0756369Z test_hessian_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.014s) 2022-11-23T02:15:56.0756772Z test_hessian_output_vectorized_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s) 2022-11-23T02:15:56.0757189Z test_hessian_output_vectorized_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.007s) 2022-11-23T02:15:56.0757599Z test_hessian_scalar_vectorize_False_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T02:15:56.0758030Z test_hessian_scalar_vectorize_False_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.009s) 2022-11-23T02:15:56.0758452Z test_hessian_scalar_vectorize_True_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T02:15:56.0758863Z test_hessian_scalar_vectorize_True_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s) 2022-11-23T02:15:56.0759300Z test_hessian_vectorize_correctness_multi_input_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.016s) 2022-11-23T02:15:56.0759747Z test_hessian_vectorize_correctness_multi_input_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.121s) 2022-11-23T02:15:56.0760189Z test_hessian_vectorize_correctness_simple_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.007s) 2022-11-23T02:15:56.0760619Z test_hessian_vectorize_correctness_simple_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.034s) 2022-11-23T02:15:56.0761074Z test_hessian_vectorize_correctness_unrelated_outputs_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s) 2022-11-23T02:15:56.0761546Z test_hessian_vectorize_correctness_unrelated_outputs_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.032s) 2022-11-23T02:15:56.0762026Z test_hessian_vectorize_raises_no_warnings_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.001s) 2022-11-23T02:15:56.0762452Z test_hessian_vectorize_raises_no_warnings_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s) 2022-11-23T02:15:56.0762870Z test_hvp_create_graph_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.090s) 2022-11-23T02:15:56.0763266Z test_hvp_create_graph_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.502s) 2022-11-23T02:15:56.0763659Z test_hvp_err_check_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s) 2022-11-23T02:15:56.0764085Z test_hvp_err_check_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.009s) 2022-11-23T02:15:56.0764480Z test_hvp_err_check_strict_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s) 2022-11-23T02:15:56.0764969Z test_hvp_err_check_strict_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s) 2022-11-23T02:15:56.0765364Z test_hvp_no_grad_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s) 2022-11-23T02:15:56.0765752Z test_hvp_no_grad_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.007s) 2022-11-23T02:15:56.0766139Z test_hvp_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s) 2022-11-23T02:15:56.0766509Z test_hvp_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s) 2022-11-23T02:15:56.0766895Z test_hvp_scalar_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T02:15:56.0767286Z test_hvp_scalar_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s) 2022-11-23T02:15:56.0767694Z test_jacobian_create_graph_vectorize_False_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.062s) 2022-11-23T02:15:56.0768141Z test_jacobian_create_graph_vectorize_False_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.358s) 2022-11-23T02:15:56.0768576Z test_jacobian_create_graph_vectorize_True_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.049s) 2022-11-23T02:15:56.0769011Z test_jacobian_create_graph_vectorize_True_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.254s) 2022-11-23T02:15:56.0769423Z test_jacobian_err_check_strict_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s) 2022-11-23T02:15:56.0769837Z test_jacobian_err_check_strict_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.008s) 2022-11-23T02:15:56.0770262Z test_jacobian_err_check_strict_vectorize_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.001s) 2022-11-23T02:15:56.0770699Z test_jacobian_err_check_strict_vectorize_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.001s) 2022-11-23T02:15:56.0771121Z test_jacobian_err_check_vectorize_False_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s) 2022-11-23T02:15:56.0771553Z test_jacobian_err_check_vectorize_False_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.008s) 2022-11-23T02:15:56.0771982Z test_jacobian_err_check_vectorize_True_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s) 2022-11-23T02:15:56.0772409Z test_jacobian_err_check_vectorize_True_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s) 2022-11-23T02:15:56.0772814Z test_jacobian_match_vjp_jvp_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T02:15:56.0773223Z test_jacobian_match_vjp_jvp_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.008s) 2022-11-23T02:15:56.0773622Z test_jacobian_no_grad_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T02:15:56.0774051Z test_jacobian_no_grad_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s) 2022-11-23T02:15:56.0774436Z test_jacobian_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s) 2022-11-23T02:15:56.0774834Z test_jacobian_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.010s) 2022-11-23T02:15:56.0775239Z test_jacobian_output_vectorized_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s) 2022-11-23T02:15:56.0775661Z test_jacobian_output_vectorized_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.007s) 2022-11-23T02:15:56.0776090Z test_jacobian_scalar_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T02:15:56.0776481Z test_jacobian_scalar_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s) 2022-11-23T02:15:56.0776886Z test_jacobian_scalar_vectorized_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T02:15:56.0777292Z test_jacobian_scalar_vectorized_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s) 2022-11-23T02:15:56.0777761Z test_jacobian_vectorize_correctness_different_devices_base_tensor (autograd.test_functional.TestAutogradFunctional) ... skip: test requires CUDA (0.000s) 2022-11-23T02:15:56.0778270Z test_jacobian_vectorize_correctness_different_devices_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... skip: test requires CUDA (0.000s) 2022-11-23T02:15:56.0778896Z test_jacobian_vectorize_correctness_different_dtype_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T02:15:56.0779371Z test_jacobian_vectorize_correctness_different_dtype_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.010s) 2022-11-23T02:15:56.0779825Z test_jacobian_vectorize_correctness_multi_input_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s) 2022-11-23T02:15:56.0780278Z test_jacobian_vectorize_correctness_multi_input_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.020s) 2022-11-23T02:15:56.0780746Z test_jacobian_vectorize_correctness_multi_input_multi_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.009s) 2022-11-23T02:15:56.0781224Z test_jacobian_vectorize_correctness_multi_input_multi_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.065s) 2022-11-23T02:15:56.0781669Z test_jacobian_vectorize_correctness_simple_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s) 2022-11-23T02:15:56.0782115Z test_jacobian_vectorize_correctness_simple_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.021s) 2022-11-23T02:15:56.0782569Z test_jacobian_vectorize_correctness_unrelated_outputs_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s) 2022-11-23T02:15:56.0783038Z test_jacobian_vectorize_correctness_unrelated_outputs_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.023s) 2022-11-23T02:15:56.0783480Z test_jacobian_vectorize_correctness_zero_dim_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s) 2022-11-23T02:15:56.0783920Z test_jacobian_vectorize_correctness_zero_dim_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.037s) 2022-11-23T02:15:56.0784360Z test_jacobian_vectorize_raises_no_warnings_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.001s) 2022-11-23T02:15:56.0784795Z test_jacobian_vectorize_raises_no_warnings_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T02:15:56.0785201Z test_jvp_create_graph_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.063s) 2022-11-23T02:15:56.0785598Z test_jvp_create_graph_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.354s) 2022-11-23T02:15:56.0786041Z test_jvp_err_check_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s) 2022-11-23T02:15:56.0786420Z test_jvp_err_check_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s) 2022-11-23T02:15:56.0786819Z test_jvp_err_check_strict_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s) 2022-11-23T02:15:56.0787225Z test_jvp_err_check_strict_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s) 2022-11-23T02:15:56.0787618Z test_jvp_no_grad_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T02:15:56.0788031Z test_jvp_no_grad_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s) 2022-11-23T02:15:56.0788416Z test_jvp_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s) 2022-11-23T02:15:56.0788801Z test_jvp_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s) 2022-11-23T02:15:56.0789261Z test_jvp_scalar_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T02:15:56.0789640Z test_jvp_scalar_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s) 2022-11-23T02:15:56.0790035Z test_vhp_create_graph_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.080s) 2022-11-23T02:15:56.0790436Z test_vhp_create_graph_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.459s) 2022-11-23T02:15:56.0790813Z test_vhp_err_check_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s) 2022-11-23T02:15:56.0791204Z test_vhp_err_check_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s) 2022-11-23T02:15:56.0791602Z test_vhp_err_check_strict_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s) 2022-11-23T02:15:56.0792008Z test_vhp_err_check_strict_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s) 2022-11-23T02:15:56.0792390Z test_vhp_no_grad_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T02:15:56.0792777Z test_vhp_no_grad_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.007s) 2022-11-23T02:15:56.0793162Z test_vhp_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T02:15:56.0793546Z test_vhp_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s) 2022-11-23T02:15:56.0793914Z test_vhp_scalar_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T02:15:56.0794300Z test_vhp_scalar_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.004s) 2022-11-23T02:15:56.0794692Z test_vjp_create_graph_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.057s) 2022-11-23T02:15:56.0795081Z test_vjp_create_graph_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.315s) 2022-11-23T02:15:56.0795473Z test_vjp_err_check_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s) 2022-11-23T02:15:56.0795860Z test_vjp_err_check_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s) 2022-11-23T02:15:56.0796250Z test_vjp_err_check_strict_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s) 2022-11-23T02:15:56.0796639Z test_vjp_err_check_strict_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s) 2022-11-23T02:15:56.0797030Z test_vjp_no_grad_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T02:15:56.0797417Z test_vjp_no_grad_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.006s) 2022-11-23T02:15:56.0797801Z test_vjp_output_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s) 2022-11-23T02:15:56.0798209Z test_vjp_output_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.005s) 2022-11-23T02:15:56.0798595Z test_vjp_scalar_base_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.002s) 2022-11-23T02:15:56.0798978Z test_vjp_scalar_logging_tensor (autograd.test_functional.TestAutogradFunctional) ... ok (0.003s) 2022-11-23T02:15:56.0799334Z test_inference_mode_context_manager (__main__.TestAutogradInferenceMode) ... ok (0.001s) 2022-11-23T02:15:56.0799680Z test_inference_mode_decorator (__main__.TestAutogradInferenceMode) ... ok (0.001s) 2022-11-23T02:15:56.0800038Z test_inference_mode_existing_autograd_session (__main__.TestAutogradInferenceMode) ... ok (0.006s) 2022-11-23T02:15:56.0800447Z test_inference_mode_handle_direct_view_on_rebase (__main__.TestAutogradInferenceMode) ... ok (0.007s) 2022-11-23T02:15:56.0800811Z test_inference_mode_handle_indirect_view_on_rebase (__main__.TestAutogradInferenceMode) ... ok (0.006s) 2022-11-23T02:15:56.0801201Z test_inference_mode_inf_tensor_in_inf_mode_functional_op (__main__.TestAutogradInferenceMode) ... ok (0.001s) 2022-11-23T02:15:56.0801592Z test_inference_mode_inf_tensor_in_inf_mode_inplace_op (__main__.TestAutogradInferenceMode) ... ok (0.001s) 2022-11-23T02:15:56.0801967Z test_inference_mode_inf_tensor_in_inf_mode_view_op (__main__.TestAutogradInferenceMode) ... ok (0.001s) 2022-11-23T02:15:56.0802336Z test_inference_mode_inf_tensor_in_normal_mode_functional_op (__main__.TestAutogradInferenceMode) ... ok (0.001s) 2022-11-23T02:15:56.0802727Z test_inference_mode_inf_tensor_in_normal_mode_inplace_op (__main__.TestAutogradInferenceMode) ... ok (0.007s) 2022-11-23T02:15:56.0803107Z test_inference_mode_inf_tensor_in_normal_mode_view_op (__main__.TestAutogradInferenceMode) ... ok (0.001s) 2022-11-23T02:15:56.0803471Z test_inference_mode_tensor_creation (__main__.TestAutogradInferenceMode) ... ok (0.001s) 2022-11-23T02:15:56.0803822Z test_mix_inference_and_normal_tensor_functional_op (__main__.TestAutogradInferenceMode) ... ok (0.005s) 2022-11-23T02:15:56.0804198Z test_mix_inference_and_normal_tensor_inplace_op (__main__.TestAutogradInferenceMode) ... ok (0.009s) 2022-11-23T02:15:56.0804569Z test_mix_inference_and_normal_tensor_view_op (__main__.TestAutogradInferenceMode) ... ok (0.001s) 2022-11-23T02:15:56.0804924Z test_normal_tensor_inplace_output_in_inference_mode (__main__.TestAutogradInferenceMode) ... ok (0.002s) 2022-11-23T02:15:56.0805300Z test_normal_tensor_inplace_output_in_normal_mode (__main__.TestAutogradInferenceMode) ... ok (0.001s) 2022-11-23T02:15:56.0805669Z test_normal_tensor_view_output_in_inference_mode (__main__.TestAutogradInferenceMode) ... ok (0.002s) 2022-11-23T02:15:56.0806036Z test_normal_tensor_view_output_in_normal_mode (__main__.TestAutogradInferenceMode) ... ok (0.005s) 2022-11-23T02:15:56.0806427Z test_autograd_composite_implicit_and_dispatch_registration_cpu (__main__.TestAutogradMultipleDispatchCPU) ... ok (0.003s) 2022-11-23T02:15:56.0806855Z test_autograd_multiple_dispatch_registrations_cpu (__main__.TestAutogradMultipleDispatchCPU) ... ok (0.002s) 2022-11-23T02:15:56.0807269Z test_backward_single_threaded_cpu (__main__.TestAutogradMultipleDispatchCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:15:56.0807650Z test_foward_mode_AD_cpu (__main__.TestAutogradMultipleDispatchCPU) ... ok (0.001s) 2022-11-23T02:15:56.0808008Z test_per_dispatch_key_input_saving_cpu (__main__.TestAutogradMultipleDispatchCPU) ... ok (0.006s) 2022-11-23T02:15:56.0808366Z test_view_copy_cpu (__main__.TestAutogradMultipleDispatchCPU) ... ok (0.002s) 2022-11-23T02:15:56.0808687Z test_cat_stack_r_to_c (__main__.TestMultithreadAutograd) ... ok (0.115s) 2022-11-23T02:15:56.0809004Z test_dataparallel_saved_tensors_hooks (__main__.TestMultithreadAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0809330Z test_fork_join_in_middle (__main__.TestMultithreadAutograd) ... ok (0.019s) 2022-11-23T02:15:56.0809636Z test_multi_grad_hooks (__main__.TestMultithreadAutograd) ... ok (0.006s) 2022-11-23T02:15:56.0810007Z test_multithreaded_exception_propagation (__main__.TestMultithreadAutograd) ... ok (0.002s) 2022-11-23T02:15:56.0810337Z test_preserve_backtrace (__main__.TestMultithreadAutograd) ... ok (0.001s) 2022-11-23T02:15:56.0810655Z test_python_thread_in_middle (__main__.TestMultithreadAutograd) ... ok (0.023s) 2022-11-23T02:15:56.0810968Z test_simple_backward (__main__.TestMultithreadAutograd) ... ok (0.006s) 2022-11-23T02:15:56.0811276Z test_simple_backward_same_input (__main__.TestMultithreadAutograd) ... ok (0.009s) 2022-11-23T02:15:56.0811461Z 2022-11-23T02:15:56.0811715Z ---------------------------------------------------------------------- 2022-11-23T02:15:56.0811960Z Ran 526 tests in 17.297s 2022-11-23T02:15:56.0812116Z 2022-11-23T02:15:56.0812214Z OK (skipped=25, expected failures=2) 2022-11-23T02:15:56.0812332Z 2022-11-23T02:15:56.0812420Z Generating XML reports... 2022-11-23T02:15:56.0812864Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestAllowMutationOnSaved-20221123021538.xml 2022-11-23T02:15:56.0813398Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestAutograd-20221123021538.xml 2022-11-23T02:15:56.0813948Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-autograd.test_complex.TestAutogradComplex-20221123021538.xml 2022-11-23T02:15:56.0814530Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestAutogradDeviceTypeCPU-20221123021538.xml 2022-11-23T02:15:56.0815082Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestAutogradForwardMode-20221123021538.xml 2022-11-23T02:15:56.0815668Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestAutogradForwardModeBatchedGrad-20221123021538.xml 2022-11-23T02:15:56.0816286Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-autograd.test_functional.TestAutogradFunctional-20221123021538.xml 2022-11-23T02:15:56.0816880Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestAutogradInferenceMode-20221123021538.xml 2022-11-23T02:15:56.0817461Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestAutogradMultipleDispatchCPU-20221123021538.xml 2022-11-23T02:15:56.0818024Z Generated XML report: test-reports/python-unittest/test_autograd/TEST-TestMultithreadAutograd-20221123021538.xml 2022-11-23T02:15:56.0818268Z 2022-11-23T02:15:56.0818652Z ##[endgroup] 2022-11-23T02:15:56.0819298Z FINISHED PRINTING LOG FILE of test_autograd (/var/lib/jenkins/workspace/test/test-reports/test_autograd_p85wk9jw) 2022-11-23T02:15:56.0819519Z 2022-11-23T02:15:56.0819683Z Running test_torch ... [2022-11-23 02:15:56.053271] 2022-11-23T02:15:56.0820144Z Executing ['/opt/conda/bin/python', '-bb', 'test_torch.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:15:56.053604] 2022-11-23T02:16:11.0118449Z 2022-11-23T02:16:11.0119437Z Expand the folded group to see the log file of test_torch 2022-11-23T02:16:11.0120412Z ##[group]PRINTING LOG FILE of test_torch (/var/lib/jenkins/workspace/test/test-reports/test_torch_ftvdenbt) 2022-11-23T02:16:11.0121163Z Test results will be stored in test-reports/python-unittest/test_torch 2022-11-23T02:16:11.0121398Z 2022-11-23T02:16:11.0121494Z Running tests... 2022-11-23T02:16:11.0121871Z ---------------------------------------------------------------------- 2022-11-23T02:16:11.0122320Z test_basic_vitals (__main__.TestBasicVitalSigns) ... ok (0.001s) 2022-11-23T02:16:11.0122778Z test_basic_vitals_read_write (__main__.TestBasicVitalSigns) ... ok (0.001s) 2022-11-23T02:16:11.0123233Z test_dataloader_vitals (__main__.TestBasicVitalSigns) ... ok (0.002s) 2022-11-23T02:16:11.0139920Z test_RNGState (__main__.TestTorch) ... ok (0.002s) 2022-11-23T02:16:11.0140454Z test_RNGStateAliasing (__main__.TestTorch) ... ok (0.002s) 2022-11-23T02:16:11.0140957Z test_RNG_after_pickle (__main__.TestTorch) ... ok (0.004s) 2022-11-23T02:16:11.0141398Z test_Size (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0141857Z test_Size_iter (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0142380Z test_Size_scalar (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0142638Z test_add_meta_scalar (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0179777Z test_allow_tensor_metadata_change (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0180249Z test_apply (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0180537Z test_as_subclass (__main__.TestTorch) ... ok (0.005s) 2022-11-23T02:16:11.0180812Z test_assert_async (__main__.TestTorch) ... ok (0.019s) 2022-11-23T02:16:11.0181065Z test_backward_hooks_traverse (__main__.TestTorch) ... ok (0.064s) 2022-11-23T02:16:11.0181347Z test_batch_norm_cpu_inference (__main__.TestTorch) ... ok (0.006s) 2022-11-23T02:16:11.0182240Z test_bmm_multithreaded (__main__.TestTorch) ... test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [1, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T02:16:11.0182895Z torch.bmm(b1, b2, out=res2) 2022-11-23T02:16:11.0183570Z test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [1, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T02:16:11.0184167Z torch.bmm(b1, b2, out=res2) 2022-11-23T02:16:11.0184789Z test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [1, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T02:16:11.0185370Z torch.bmm(b1, b2, out=res2) 2022-11-23T02:16:11.0185995Z test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 23, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T02:16:11.0186586Z torch.bmm(b1, b2, out=res2) 2022-11-23T02:16:11.0187208Z test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T02:16:11.0187793Z torch.bmm(b1, b2, out=res2) 2022-11-23T02:16:11.0188457Z test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T02:16:11.0189046Z torch.bmm(b1, b2, out=res2) 2022-11-23T02:16:11.0189754Z test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [1, 23, 12], which does not match the required output shape [0, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T02:16:11.0190333Z torch.bmm(b1, b2, out=res2) 2022-11-23T02:16:11.0190997Z test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [10, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T02:16:11.0191573Z torch.bmm(b1, b2, out=res2) 2022-11-23T02:16:11.0192188Z test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [10, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T02:16:11.0192763Z torch.bmm(b1, b2, out=res2) 2022-11-23T02:16:11.0193382Z test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [10, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T02:16:11.0193967Z torch.bmm(b1, b2, out=res2) 2022-11-23T02:16:11.0194587Z test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 23, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T02:16:11.0195175Z torch.bmm(b1, b2, out=res2) 2022-11-23T02:16:11.0195794Z test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 23, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T02:16:11.0198615Z torch.bmm(b1, b2, out=res2) 2022-11-23T02:16:11.0199627Z test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 0, 12]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T02:16:11.0200867Z torch.bmm(b1, b2, out=res2) 2022-11-23T02:16:11.0202048Z test_torch.py:8462: UserWarning: An output with one or more elements was resized since it had shape [10, 23, 12], which does not match the required output shape [0, 0, 0]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T02:16:11.0203161Z torch.bmm(b1, b2, out=res2) 2022-11-23T02:16:11.0203441Z ok (0.641s) 2022-11-23T02:16:11.0203718Z test_boxMullerState (__main__.TestTorch) ... ok (0.002s) 2022-11-23T02:16:11.0204008Z test_c10_layer_norm (__main__.TestTorch) ... skip: Pytorch is compiled without Caffe2 (0.001s) 2022-11-23T02:16:11.0204302Z test_cat_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T02:16:11.0204552Z test_chunk_neg_dim (__main__.TestTorch) ... ok (0.006s) 2022-11-23T02:16:11.0204793Z test_conj_neg_tolist (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0205042Z test_contains (__main__.TestTorch) ... ok (0.002s) 2022-11-23T02:16:11.0205293Z test_copy_broadcast (__main__.TestTorch) ... ok (0.006s) 2022-11-23T02:16:11.0205592Z test_copy_dtypes (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0205981Z test_copy_float16 (__main__.TestTorch) ... ok (0.089s) 2022-11-23T02:16:11.0206363Z test_copy_many_to_one (__main__.TestTorch) ... ok (0.006s) 2022-11-23T02:16:11.0207440Z test_copy_transpose (__main__.TestTorch) ... test_torch.py:7647: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/EmptyTensor.cpp:32.) 2022-11-23T02:16:11.0208227Z x = torch.arange(100 * 100).reshape(100, 100).to(dtype=torch.complex32).t() 2022-11-23T02:16:11.0208604Z ok (0.004s) 2022-11-23T02:16:11.0209016Z test_cuda_not_built (__main__.TestTorch) ... ok (0.002s) 2022-11-23T02:16:11.0209470Z test_cummax_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-11-23T02:16:11.0209928Z test_cummin_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-11-23T02:16:11.0210269Z test_cumprod_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-11-23T02:16:11.0210660Z test_cumsum_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T02:16:11.0211014Z test_cxx_flags (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0211605Z test_dead_weak_ref (__main__.TestTorch) ... [TORCH_VITAL] Dataloader.basic_unit_test TEST_VALUE_STRING 2022-11-23T02:16:11.0212063Z [TORCH_VITAL] CUDA.used False 2022-11-23T02:16:11.0212490Z [TORCH_VITAL] Dataloader.basic_unit_test TEST_VALUE_STRING 2022-11-23T02:16:11.0212919Z [TORCH_VITAL] CUDA.used False 2022-11-23T02:16:11.0213307Z [TORCH_VITAL] Dataloader.enabled True 2022-11-23T02:16:11.0213727Z [TORCH_VITAL] Dataloader.basic_unit_test TEST_VALUE_STRING 2022-11-23T02:16:11.0214114Z [TORCH_VITAL] CUDA.used False 2022-11-23T02:16:11.0215504Z [W python_variable.cpp:318] Warning: Deallocating Tensor that still has live PyObject references. This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it. Subsequent accesses to this tensor via the PyObject will now fail. (function decref) 2022-11-23T02:16:11.0216336Z ok (0.004s) 2022-11-23T02:16:11.0216732Z test_deepcopy_gradient (__main__.TestTorch) ... ok (0.002s) 2022-11-23T02:16:11.0217027Z test_deepcopy_parameter (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0217293Z test_deterministic_flag (__main__.TestTorch) ... ok (0.003s) 2022-11-23T02:16:11.0217547Z test_device (__main__.TestTorch) ... ok (0.019s) 2022-11-23T02:16:11.0217764Z test_dir (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0217989Z test_doc (__main__.TestTorch) ... ok (0.002s) 2022-11-23T02:16:11.0218272Z test_doc_template (__main__.TestTorch) 2022-11-23T02:16:11.0219039Z Test that all public API doc strings use the same standard template for ... ok (0.019s) 2022-11-23T02:16:11.0219485Z test_dot_data_use (__main__.TestTorch) ... ok (0.012s) 2022-11-23T02:16:11.0219844Z test_dtype_is_signed (__main__.TestTorch) ... ok (0.004s) 2022-11-23T02:16:11.0220981Z test_element_size (__main__.TestTorch) ... /opt/conda/lib/python3.7/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T02:16:11.0221806Z warnings.warn(message, UserWarning) 2022-11-23T02:16:11.0222009Z ok (0.003s) 2022-11-23T02:16:11.0222274Z test_empty_meta (__main__.TestTorch) ... ok (0.007s) 2022-11-23T02:16:11.0222533Z test_empty_storage_view (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0222782Z test_equal (__main__.TestTorch) ... ok (0.002s) 2022-11-23T02:16:11.0223034Z test_error_msg_type_translation (__main__.TestTorch) ... ok (0.011s) 2022-11-23T02:16:11.0223305Z test_fill_diagonal (__main__.TestTorch) ... ok (0.003s) 2022-11-23T02:16:11.0223562Z test_format_scalar_meta (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0223803Z test_from_buffer (__main__.TestTorch) ... ok (0.004s) 2022-11-23T02:16:11.0224044Z test_from_file (__main__.TestTorch) ... ok (0.006s) 2022-11-23T02:16:11.0224289Z test_gather_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-11-23T02:16:11.0224526Z test_generator_cpu (__main__.TestTorch) ... ok (0.002s) 2022-11-23T02:16:11.0224784Z test_has_internal_overlap (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0225041Z test_has_storage (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0225285Z test_index_add (__main__.TestTorch) ... ok (0.018s) 2022-11-23T02:16:11.0225525Z test_index_add_all_dtypes (__main__.TestTorch) ... ok (0.006s) 2022-11-23T02:16:11.0225789Z test_index_add_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-11-23T02:16:11.0226046Z test_index_copy_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T02:16:11.0226293Z test_index_fill_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T02:16:11.0226552Z test_index_select_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-11-23T02:16:11.0226825Z test_invalid_generator_raises (__main__.TestTorch) ... ok (0.002s) 2022-11-23T02:16:11.0227070Z test_is_nonzero (__main__.TestTorch) ... ok (0.005s) 2022-11-23T02:16:11.0227537Z test_is_same_size (__main__.TestTorch) ... test_torch.py:5704: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/NestedTensorImpl.cpp:179.) 2022-11-23T02:16:11.0228032Z nt1 = torch.nested.nested_tensor([torch.ones(2, 4), torch.ones(3, 4), torch.ones(5, 4)]) 2022-11-23T02:16:11.0228273Z ok (0.007s) 2022-11-23T02:16:11.0228458Z test_iter (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0228704Z test_kthvalue_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-11-23T02:16:11.0228968Z test_logcumsumexp_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T02:16:11.0229305Z test_manual_seed (__main__.TestTorch) ... ok (0.003s) 2022-11-23T02:16:11.0229549Z test_map (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0229781Z test_map2 (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0230025Z test_max_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-11-23T02:16:11.0230259Z test_mean_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T02:16:11.0230511Z test_median_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-11-23T02:16:11.0230763Z test_memory_format (__main__.TestTorch) ... ok (0.002s) 2022-11-23T02:16:11.0231063Z test_memory_format_contiguous_returns_same_tensor_if_already_satisfies (__main__.TestTorch) ... ok (0.002s) 2022-11-23T02:16:11.0231377Z test_memory_format_empty (__main__.TestTorch) ... ok (0.010s) 2022-11-23T02:16:11.0231628Z test_min_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-11-23T02:16:11.0231909Z test_mode_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-11-23T02:16:11.0232246Z test_multinomial_invalid_probs (__main__.TestTorch) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T02:16:11.0232575Z test_nanmedian_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-11-23T02:16:11.0232830Z test_narrow_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T02:16:11.0233058Z test_ndim (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0233289Z test_new (__main__.TestTorch) ... ok (0.005s) 2022-11-23T02:16:11.0233549Z test_newaxis_numpy_comparison (__main__.TestTorch) ... ok (0.005s) 2022-11-23T02:16:11.0233832Z test_newindex (__main__.TestTorch) ... ok (0.007s) 2022-11-23T02:16:11.0234078Z test_norm_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T02:16:11.0234325Z test_normal_shape (__main__.TestTorch) ... ok (0.027s) 2022-11-23T02:16:11.0234562Z test_numel (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0234792Z test_parallel_info (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0235043Z test_parsing_double (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0235293Z test_parsing_int64 (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0235534Z test_parsing_intlist (__main__.TestTorch) ... ok (0.003s) 2022-11-23T02:16:11.0235778Z test_permute (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0236013Z test_pickle (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0236242Z test_pickle_dtype (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0236493Z test_pickle_function (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0236751Z test_pickle_parameter (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0237018Z test_pickle_parameter_no_requires_grad (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0237287Z test_pickle_size (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0237529Z test_pin_memory (__main__.TestTorch) ... ok (0.007s) 2022-11-23T02:16:11.0237768Z test_print (__main__.TestTorch) ... ok (0.042s) 2022-11-23T02:16:11.0237996Z test_prod_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T02:16:11.0238247Z test_pyobj_preserved (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0238489Z test_qengine (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0238720Z test_renorm_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-11-23T02:16:11.0238977Z test_resurrected_weak_ref (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0239229Z test_reversed (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0239463Z test_scatter_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T02:16:11.0239714Z test_select_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T02:16:11.0240008Z test_set_flush_denormal (__main__.TestTorch) ... skip: flush_denormal not supported (0.001s) 2022-11-23T02:16:11.0240318Z test_setting_real_imag_to_a_number (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0240569Z test_show_config (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0240815Z test_size_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T02:16:11.0241546Z test_sizeof (__main__.TestTorch) ... /opt/conda/lib/python3.7/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T02:16:11.0242014Z warnings.warn(message, UserWarning) 2022-11-23T02:16:11.0242201Z ok (0.002s) 2022-11-23T02:16:11.0242405Z test_slice (__main__.TestTorch) ... ok (0.003s) 2022-11-23T02:16:11.0242722Z test_slow_test (__main__.TestTorch) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T02:16:11.0243026Z test_sobolengine_bounds (__main__.TestTorch) ... ok (0.003s) 2022-11-23T02:16:11.0243313Z test_sobolengine_bounds_scrambled (__main__.TestTorch) ... ok (0.006s) 2022-11-23T02:16:11.0243656Z test_sobolengine_continuing (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0243935Z test_sobolengine_continuing_scrambled (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0244229Z test_sobolengine_distribution (__main__.TestTorch) ... ok (0.004s) 2022-11-23T02:16:11.0244526Z test_sobolengine_distribution_scrambled (__main__.TestTorch) ... ok (0.005s) 2022-11-23T02:16:11.0244818Z test_sobolengine_draw (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0245068Z test_sobolengine_draw_base2 (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0245353Z test_sobolengine_draw_base2_scrambled (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0245672Z test_sobolengine_draw_scrambled (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0245943Z test_sobolengine_fast_forward (__main__.TestTorch) ... ok (0.002s) 2022-11-23T02:16:11.0246235Z test_sobolengine_fast_forward_scrambled (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0246527Z test_sobolengine_first_point (__main__.TestTorch) ... ok (0.002s) 2022-11-23T02:16:11.0246791Z test_sobolengine_high_dim (__main__.TestTorch) ... ok (0.004s) 2022-11-23T02:16:11.0247058Z test_sobolengine_raise (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0247320Z test_sobolengine_reset (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0247596Z test_sobolengine_reset_scrambled (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0247851Z test_sort_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-11-23T02:16:11.0248099Z test_split_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-11-23T02:16:11.0248348Z test_squeeze_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-11-23T02:16:11.0248592Z test_std_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T02:16:11.0248837Z test_storage_casts (__main__.TestTorch) ... ok (0.012s) 2022-11-23T02:16:11.0249084Z test_storage_error (__main__.TestTorch) ... ok (0.024s) 2022-11-23T02:16:11.0249335Z test_storage_error_no_attribute (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0249606Z test_structseq_repr (__main__.TestTorch) ... ok (0.002s) 2022-11-23T02:16:11.0249864Z test_subclass_preserved (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0250124Z test_subclass_tensors (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0250358Z test_sum_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T02:16:11.0250602Z test_t_not_2d_error (__main__.TestTorch) ... ok (0.009s) 2022-11-23T02:16:11.0250851Z test_tensor_base_init (__main__.TestTorch) ... ok (0.002s) 2022-11-23T02:16:11.0251093Z test_tensor_base_new (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0251347Z test_tensor_ctor_scalar (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0251610Z test_tensor_cycle_via_dict (__main__.TestTorch) ... ok (0.117s) 2022-11-23T02:16:11.0251867Z test_tensor_cycle_via_slots (__main__.TestTorch) ... ok (0.056s) 2022-11-23T02:16:11.0252133Z test_tensor_dict_dealloc (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0252407Z test_tensor_finalizer_dealloc (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0252666Z test_tensor_set (__main__.TestTorch) ... ok (0.003s) 2022-11-23T02:16:11.0252902Z test_tensor_set_errors (__main__.TestTorch) ... ok (0.005s) 2022-11-23T02:16:11.0253158Z test_tensor_slot_dealloc (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0253423Z test_tensor_weakref_dealloc (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0253691Z test_tensoriterator_output_setup (__main__.TestTorch) ... ok (0.140s) 2022-11-23T02:16:11.0253947Z test_to (__main__.TestTorch) ... ok (0.002s) 2022-11-23T02:16:11.0254185Z test_to_with_tensor (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0254423Z test_topk_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-11-23T02:16:11.0254669Z test_torch_from_file (__main__.TestTorch) ... ok (0.006s) 2022-11-23T02:16:11.0254922Z test_transpose_neg_dim (__main__.TestTorch) ... ok (0.004s) 2022-11-23T02:16:11.0255166Z test_type (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0255420Z test_type_alias (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0255694Z test_type_conversion_via_dtype_name (__main__.TestTorch) ... ok (0.003s) 2022-11-23T02:16:11.0255993Z test_typed_storage_deprecation_warning (__main__.TestTorch) ... ok (0.002s) 2022-11-23T02:16:11.0261758Z test_typed_storage_internal_no_warning (__main__.TestTorch) ... /opt/conda/lib/python3.7/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T02:16:11.0262878Z warnings.warn(message, UserWarning) 2022-11-23T02:16:11.0263317Z ok (0.003s) 2022-11-23T02:16:11.0263676Z test_unbind_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-11-23T02:16:11.0264103Z test_unflatten (__main__.TestTorch) ... ok (0.021s) 2022-11-23T02:16:11.0264499Z test_unfold_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T02:16:11.0264883Z test_unsqueeze_neg_dim (__main__.TestTorch) ... ok (0.003s) 2022-11-23T02:16:11.0265322Z test_upsample_nearest1d_meta (__main__.TestTorch) ... ok (0.012s) 2022-11-23T02:16:11.0265760Z test_upsample_nearest2d_meta (__main__.TestTorch) ... ok (0.014s) 2022-11-23T02:16:11.0266152Z test_var_neg_dim (__main__.TestTorch) ... ok (0.002s) 2022-11-23T02:16:11.0266542Z test_wildcard_import (__main__.TestTorch) ... ok (0.001s) 2022-11-23T02:16:11.0266994Z test_addcdiv_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0267493Z test_addcdiv_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0267983Z test_addcdiv_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0268464Z test_addcdiv_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0268956Z test_addcdiv_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:16:11.0269531Z test_addcdiv_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:16:11.0269981Z test_addcdiv_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:16:11.0270455Z test_addcdiv_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:16:11.0270993Z test_addcdiv_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:16:11.0271558Z test_addcmul_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0272152Z test_addcmul_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0272715Z test_addcmul_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0273316Z test_addcmul_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0273818Z test_addcmul_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0274139Z test_addcmul_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0274440Z test_addcmul_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0274725Z test_addcmul_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0275032Z test_addcmul_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0275376Z test_assertRaisesRegex_ignore_msg_non_native_device_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.009s) 2022-11-23T02:16:11.0275815Z test_bernoulli_edge_cases_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T02:16:11.0276265Z test_bernoulli_edge_cases_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T02:16:11.0276649Z test_bernoulli_mem_overlap_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.016s) 2022-11-23T02:16:11.0276976Z test_bernoulli_p_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0277386Z test_bernoulli_p_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0277707Z test_bernoulli_p_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0278018Z test_bernoulli_self_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0278341Z test_bernoulli_self_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0278649Z test_bernoulli_self_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0278971Z test_bernoulli_self_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0279339Z test_bernoulli_self_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0279638Z test_bernoulli_self_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0279952Z test_bernoulli_self_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0280267Z test_bernoulli_self_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0280583Z test_bfloat16_float_copy_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.052s) 2022-11-23T02:16:11.0280890Z test_bool_tensor_value_change_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0281214Z test_broadcast_fn_add_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.029s) 2022-11-23T02:16:11.0281536Z test_broadcast_fn_addcdiv_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.029s) 2022-11-23T02:16:11.0281845Z test_broadcast_fn_addcmul_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.028s) 2022-11-23T02:16:11.0282168Z test_broadcast_fn_atan2_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s) 2022-11-23T02:16:11.0282484Z test_broadcast_fn_copy_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.027s) 2022-11-23T02:16:11.0282801Z test_broadcast_fn_dist_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-11-23T02:16:11.0283107Z test_broadcast_fn_div_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s) 2022-11-23T02:16:11.0283417Z test_broadcast_fn_eq_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s) 2022-11-23T02:16:11.0283728Z test_broadcast_fn_fmod_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s) 2022-11-23T02:16:11.0284026Z test_broadcast_fn_ge_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s) 2022-11-23T02:16:11.0284340Z test_broadcast_fn_gt_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s) 2022-11-23T02:16:11.0284648Z test_broadcast_fn_le_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s) 2022-11-23T02:16:11.0284955Z test_broadcast_fn_lerp_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.027s) 2022-11-23T02:16:11.0285253Z test_broadcast_fn_lt_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s) 2022-11-23T02:16:11.0285555Z test_broadcast_fn_map2_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.029s) 2022-11-23T02:16:11.0285865Z test_broadcast_fn_map_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.029s) 2022-11-23T02:16:11.0286177Z test_broadcast_fn_masked_fill_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s) 2022-11-23T02:16:11.0286511Z test_broadcast_fn_masked_scatter_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.027s) 2022-11-23T02:16:11.0286846Z test_broadcast_fn_masked_select_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-11-23T02:16:11.0287174Z test_broadcast_fn_max_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-11-23T02:16:11.0287471Z test_broadcast_fn_min_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-11-23T02:16:11.0287779Z test_broadcast_fn_mul_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s) 2022-11-23T02:16:11.0288091Z test_broadcast_fn_ne_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s) 2022-11-23T02:16:11.0288386Z test_broadcast_fn_pow_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s) 2022-11-23T02:16:11.0288702Z test_broadcast_fn_remainder_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s) 2022-11-23T02:16:11.0289067Z test_broadcast_fn_sub_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.027s) 2022-11-23T02:16:11.0289885Z test_bytes_to_scalar_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... /opt/conda/lib/python3.7/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T02:16:11.0290380Z warnings.warn(message, UserWarning) 2022-11-23T02:16:11.0290583Z ok (0.002s) 2022-11-23T02:16:11.0290840Z test_bytes_to_scalar_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-11-23T02:16:11.0291214Z test_bytes_to_scalar_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:16:11.0291530Z test_bytes_to_scalar_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0291855Z test_bytes_to_scalar_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:16:11.0292453Z test_bytes_to_scalar_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0292758Z test_bytes_to_scalar_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0293073Z test_bytes_to_scalar_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:16:11.0293391Z test_bytes_to_scalar_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0293713Z test_bytes_to_scalar_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0294021Z test_cauchy_kstest_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.189s) 2022-11-23T02:16:11.0294348Z test_cauchy_kstest_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:16:11.0294671Z test_cauchy_kstest_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:16:11.0294979Z test_cauchy_kstest_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:16:11.0295370Z test_cauchy_no_inf_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T02:16:11.0295816Z test_cauchy_no_inf_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T02:16:11.0296219Z test_cdist_cuda_backward_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:16:11.0296539Z test_cdist_empty_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0296857Z test_cdist_euclidean_large_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.024s) 2022-11-23T02:16:11.0297189Z test_cdist_grad_p_lt_1_no_nan_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0297580Z test_cdist_large_batch_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T02:16:11.0297938Z test_cdist_large_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.077s) 2022-11-23T02:16:11.0298260Z test_cdist_non_contiguous_batch_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-11-23T02:16:11.0298591Z test_cdist_non_contiguous_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-11-23T02:16:11.0299063Z test_cdist_norm_batch_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.259s) 2022-11-23T02:16:11.0299379Z test_cdist_norm_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.107s) 2022-11-23T02:16:11.0299691Z test_cdist_same_inputs_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:16:11.0300021Z test_clone_all_dtypes_and_devices_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0300346Z test_clone_not_memory_dense_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0300670Z test_clone_zero_stride_dim_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0301017Z test_complex_half_experimental_warning_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0301391Z test_constants_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0301748Z test_conv_transposed_backward_agnostic_to_memory_format_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.020s) 2022-11-23T02:16:11.0302133Z test_conv_transposed_large_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:11.0302650Z test_copy__cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:5218: UserWarning: Casting complex values to real discards the imaginary part (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Copy.cpp:275.) 2022-11-23T02:16:11.0303080Z t.copy_(src) 2022-11-23T02:16:11.0303250Z ok (0.004s) 2022-11-23T02:16:11.0303487Z test_copy__cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0303794Z test_copy__cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:16:11.0304094Z test_copy__cpu_complex32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:16:11.0304403Z test_copy__cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:16:11.0304710Z test_copy__cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:16:11.0305002Z test_copy__cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0305306Z test_copy__cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0305602Z test_copy__cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0305898Z test_copy__cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0306184Z test_copy__cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0306481Z test_copy__cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0306776Z test_copy__cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0307083Z test_copy_all_dtypes_and_devices_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0307404Z test_copy_math_view_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-11-23T02:16:11.0307721Z test_copy_mem_overlap_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.017s) 2022-11-23T02:16:11.0308046Z test_copy_transpose_math_view_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-11-23T02:16:11.0308389Z test_copy_transpose_math_view_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0308726Z test_copy_transpose_math_view_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0309307Z test_corrcoef_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:1918: UserWarning: cov(): degrees of freedom is <= 0 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Correlation.cpp:117.) 2022-11-23T02:16:11.0309693Z res = torch.corrcoef(x) 2022-11-23T02:16:11.0310108Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:393: RuntimeWarning: Mean of empty slice. 2022-11-23T02:16:11.0310386Z avg = a.mean(axis) 2022-11-23T02:16:11.0310790Z /opt/conda/lib/python3.7/site-packages/numpy/core/_methods.py:154: RuntimeWarning: invalid value encountered in true_divide 2022-11-23T02:16:11.0311163Z ret, rcount, out=ret, casting='unsafe', subok=False) 2022-11-23T02:16:11.0311590Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:2526: RuntimeWarning: Degrees of freedom <= 0 for slice 2022-11-23T02:16:11.0311874Z c = cov(x, y, rowvar) 2022-11-23T02:16:11.0312265Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:2455: RuntimeWarning: divide by zero encountered in true_divide 2022-11-23T02:16:11.0312574Z c *= np.true_divide(1, fact) 2022-11-23T02:16:11.0312975Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:2455: RuntimeWarning: invalid value encountered in multiply 2022-11-23T02:16:11.0313276Z c *= np.true_divide(1, fact) 2022-11-23T02:16:11.0313444Z ok (0.007s) 2022-11-23T02:16:11.0313749Z test_corrcoef_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-11-23T02:16:11.0314071Z test_corrcoef_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-11-23T02:16:11.0314530Z test_cov_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:1925: UserWarning: cov(): degrees of freedom is <= 0 (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Correlation.cpp:117.) 2022-11-23T02:16:11.0314994Z res = torch.cov(t, correction=correction, fweights=fweights, aweights=aweights) 2022-11-23T02:16:11.0315302Z test_torch.py:1929: RuntimeWarning: Degrees of freedom <= 0 for slice 2022-11-23T02:16:11.0315641Z ref = np.cov(t, ddof=correction, fweights=fweights, aweights=aweights) 2022-11-23T02:16:11.0316088Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:425: RuntimeWarning: invalid value encountered in multiply 2022-11-23T02:16:11.0316432Z avg = np.multiply(a, wgt, dtype=result_dtype).sum(axis)/scl 2022-11-23T02:16:11.0316654Z ok (0.051s) 2022-11-23T02:16:11.0316879Z test_cov_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.046s) 2022-11-23T02:16:11.0317179Z test_cov_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.041s) 2022-11-23T02:16:11.0317505Z test_cpp_warnings_have_python_context_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.142s) 2022-11-23T02:16:11.0317888Z test_cublas_config_nondeterministic_alert_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:16:11.0318234Z test_cummax_cummin_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.020s) 2022-11-23T02:16:11.0318557Z test_cummax_discontiguous_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0318883Z test_cummin_discontiguous_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0319183Z test_cumprod_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-11-23T02:16:11.0319480Z test_cumsum_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-11-23T02:16:11.0320240Z test_deepcopy_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... /opt/conda/lib/python3.7/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T02:16:11.0320744Z warnings.warn(message, UserWarning) 2022-11-23T02:16:11.0320929Z ok (0.012s) 2022-11-23T02:16:11.0321171Z test_deepcopy_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.011s) 2022-11-23T02:16:11.0321497Z test_deepcopy_scalar_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0321821Z test_deepcopy_scalar_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0322176Z test_device_guard_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: fewer than 2 devices detected (0.003s) 2022-11-23T02:16:11.0322511Z test_diff_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.034s) 2022-11-23T02:16:11.0322817Z test_diff_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.047s) 2022-11-23T02:16:11.0323115Z test_diff_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.048s) 2022-11-23T02:16:11.0323420Z test_diff_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.043s) 2022-11-23T02:16:11.0323720Z test_diff_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.043s) 2022-11-23T02:16:11.0324003Z test_diff_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.041s) 2022-11-23T02:16:11.0324301Z test_diff_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.034s) 2022-11-23T02:16:11.0324597Z test_diff_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.034s) 2022-11-23T02:16:11.0324889Z test_diff_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.032s) 2022-11-23T02:16:11.0325171Z test_diff_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.033s) 2022-11-23T02:16:11.0325490Z test_diff_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.034s) 2022-11-23T02:16:11.0325802Z test_diff_noncontig_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s) 2022-11-23T02:16:11.0326116Z test_diff_noncontig_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.040s) 2022-11-23T02:16:11.0326448Z test_diff_noncontig_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.041s) 2022-11-23T02:16:11.0326776Z test_diff_noncontig_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.036s) 2022-11-23T02:16:11.0327102Z test_diff_noncontig_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.035s) 2022-11-23T02:16:11.0327413Z test_diff_noncontig_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.033s) 2022-11-23T02:16:11.0327763Z test_diff_noncontig_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s) 2022-11-23T02:16:11.0328078Z test_diff_noncontig_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s) 2022-11-23T02:16:11.0328378Z test_diff_noncontig_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.025s) 2022-11-23T02:16:11.0328699Z test_diff_noncontig_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s) 2022-11-23T02:16:11.0329011Z test_diff_noncontig_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s) 2022-11-23T02:16:11.0329326Z test_dim_function_empty_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.026s) 2022-11-23T02:16:11.0329636Z test_discontiguous_out_cumsum_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0329942Z test_dist_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0330244Z test_errors_index_copy_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.020s) 2022-11-23T02:16:11.0330554Z test_expected_failure_xla_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0330873Z test_exponential_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-11-23T02:16:11.0331198Z test_exponential_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-11-23T02:16:11.0331518Z test_exponential_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-11-23T02:16:11.0331818Z test_exponential_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-11-23T02:16:11.0332139Z test_exponential_kstest_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0332474Z test_exponential_kstest_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0332796Z test_exponential_kstest_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0333128Z test_exponential_kstest_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0333489Z test_exponential_no_zero_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:11.0333867Z test_exponential_no_zero_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:11.0334223Z test_gather_backward_deterministic_path_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.494s) 2022-11-23T02:16:11.0334568Z test_gather_backward_one_dim_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.511s) 2022-11-23T02:16:11.0334892Z test_geometric_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0335207Z test_geometric_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0335505Z test_geometric_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0335810Z test_geometric_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0336120Z test_geometric_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0336415Z test_geometric_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0336722Z test_geometric_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0337031Z test_geometric_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0337371Z test_geometric_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0337681Z test_geometric_kstest_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-11-23T02:16:11.0338009Z test_geometric_kstest_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:16:11.0338335Z test_geometric_kstest_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:16:11.0338642Z test_geometric_kstest_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:16:11.0339122Z test_geometric_kstest_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:16:11.0339509Z test_geometric_kstest_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:16:11.0339836Z test_geometric_kstest_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:16:11.0340147Z test_geometric_kstest_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:16:11.0340476Z test_geometric_kstest_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:16:11.0340801Z test_gradient_all_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.137s) 2022-11-23T02:16:11.0341110Z test_gradient_all_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.110s) 2022-11-23T02:16:11.0341722Z test_gradient_all_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1061: RuntimeWarning: divide by zero encountered in true_divide 2022-11-23T02:16:11.0342133Z a = -(dx2)/(dx1 * (dx1 + dx2)) 2022-11-23T02:16:11.0342551Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1062: RuntimeWarning: divide by zero encountered in true_divide 2022-11-23T02:16:11.0342880Z b = (dx2 - dx1) / (dx1 * dx2) 2022-11-23T02:16:11.0343283Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1063: RuntimeWarning: divide by zero encountered in true_divide 2022-11-23T02:16:11.0343583Z c = dx1 / (dx2 * (dx1 + dx2)) 2022-11-23T02:16:11.0343967Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1069: RuntimeWarning: invalid value encountered in add 2022-11-23T02:16:11.0344327Z out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)] 2022-11-23T02:16:11.0344792Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1117: RuntimeWarning: divide by zero encountered in double_scalars 2022-11-23T02:16:11.0345096Z a = (dx2) / (dx1 * (dx1 + dx2)) 2022-11-23T02:16:11.0345495Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1118: RuntimeWarning: divide by zero encountered in double_scalars 2022-11-23T02:16:11.0345837Z b = - (dx2 + dx1) / (dx1 * dx2) 2022-11-23T02:16:11.0346248Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1121: RuntimeWarning: invalid value encountered in double_scalars 2022-11-23T02:16:11.0346610Z out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)] 2022-11-23T02:16:11.0347063Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1100: RuntimeWarning: divide by zero encountered in double_scalars 2022-11-23T02:16:11.0347422Z a = -(2. * dx1 + dx2)/(dx1 * (dx1 + dx2)) 2022-11-23T02:16:11.0347837Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1101: RuntimeWarning: divide by zero encountered in double_scalars 2022-11-23T02:16:11.0348122Z b = (dx1 + dx2) / (dx1 * dx2) 2022-11-23T02:16:11.0348517Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1104: RuntimeWarning: invalid value encountered in add 2022-11-23T02:16:11.0348871Z out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)] 2022-11-23T02:16:11.0349404Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1121: RuntimeWarning: invalid value encountered in add 2022-11-23T02:16:11.0349738Z out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)] 2022-11-23T02:16:11.0350244Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1078: RuntimeWarning: divide by zero encountered in true_divide 2022-11-23T02:16:11.0350657Z out[tuple(slice1)] = (f[tuple(slice2)] - f[tuple(slice3)]) / dx_0 2022-11-23T02:16:11.0351092Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1078: RuntimeWarning: invalid value encountered in true_divide 2022-11-23T02:16:11.0351495Z out[tuple(slice1)] = (f[tuple(slice2)] - f[tuple(slice3)]) / dx_0 2022-11-23T02:16:11.0351933Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1069: RuntimeWarning: invalid value encountered in multiply 2022-11-23T02:16:11.0352329Z out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)] 2022-11-23T02:16:11.0352777Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1102: RuntimeWarning: divide by zero encountered in double_scalars 2022-11-23T02:16:11.0353122Z c = - dx1 / (dx2 * (dx1 + dx2)) 2022-11-23T02:16:11.0353521Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1104: RuntimeWarning: invalid value encountered in multiply 2022-11-23T02:16:11.0353878Z out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)] 2022-11-23T02:16:11.0354315Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1121: RuntimeWarning: invalid value encountered in multiply 2022-11-23T02:16:11.0354671Z out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)] 2022-11-23T02:16:11.0355129Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1119: RuntimeWarning: divide by zero encountered in double_scalars 2022-11-23T02:16:11.0355442Z c = (2. * dx2 + dx1) / (dx2 * (dx1 + dx2)) 2022-11-23T02:16:11.0355842Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1085: RuntimeWarning: divide by zero encountered in true_divide 2022-11-23T02:16:11.0356239Z out[tuple(slice1)] = (f[tuple(slice2)] - f[tuple(slice3)]) / dx_n 2022-11-23T02:16:11.0356684Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1085: RuntimeWarning: invalid value encountered in true_divide 2022-11-23T02:16:11.0357071Z out[tuple(slice1)] = (f[tuple(slice2)] - f[tuple(slice3)]) / dx_n 2022-11-23T02:16:11.0357453Z ok (0.116s) 2022-11-23T02:16:11.0358050Z test_gradient_extreme_cases_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.078s) 2022-11-23T02:16:11.0358709Z test_gradient_extreme_cases_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.069s) 2022-11-23T02:16:11.0359334Z test_gradient_extreme_cases_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.070s) 2022-11-23T02:16:11.0360582Z test_gradient_type_promotion_cpu (__main__.TestTorchDeviceTypeCPU) ... /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1057: ComplexWarning: Casting complex values to real discards the imaginary part 2022-11-23T02:16:11.0361615Z out[tuple(slice1)] = (f[tuple(slice4)] - f[tuple(slice2)]) / (2. * ax_dx) 2022-11-23T02:16:11.0362581Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1078: ComplexWarning: Casting complex values to real discards the imaginary part 2022-11-23T02:16:11.0363360Z out[tuple(slice1)] = (f[tuple(slice2)] - f[tuple(slice3)]) / dx_0 2022-11-23T02:16:11.0364177Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1085: ComplexWarning: Casting complex values to real discards the imaginary part 2022-11-23T02:16:11.0364967Z out[tuple(slice1)] = (f[tuple(slice2)] - f[tuple(slice3)]) / dx_n 2022-11-23T02:16:11.0366987Z /opt/conda/lib/python3.7/site-packages/torch/testing/_comparison.py:599: UserWarning: The given NumPy array is not writable, and PyTorch does not support non-writable tensors. This means writing to this tensor will result in undefined behavior. You may want to copy the array to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/utils/tensor_numpy.cpp:205.) 2022-11-23T02:16:11.0368205Z return torch.as_tensor(tensor_like) 2022-11-23T02:16:11.0369074Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1104: ComplexWarning: Casting complex values to real discards the imaginary part 2022-11-23T02:16:11.0390142Z out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)] 2022-11-23T02:16:11.0391122Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1121: ComplexWarning: Casting complex values to real discards the imaginary part 2022-11-23T02:16:11.0391789Z out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)] 2022-11-23T02:16:11.0392832Z /opt/conda/lib/python3.7/site-packages/numpy/lib/function_base.py:1069: ComplexWarning: Casting complex values to real discards the imaginary part 2022-11-23T02:16:11.0393471Z out[tuple(slice1)] = a * f[tuple(slice2)] + b * f[tuple(slice3)] + c * f[tuple(slice4)] 2022-11-23T02:16:11.0393856Z ok (0.044s) 2022-11-23T02:16:11.0394281Z test_hook_remove_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0394853Z test_index_add_deterministic_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.089s) 2022-11-23T02:16:11.0395441Z test_index_add_mem_overlap_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.021s) 2022-11-23T02:16:11.0395985Z test_index_copy_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.008s) 2022-11-23T02:16:11.0396543Z test_index_copy_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:16:11.0397103Z test_index_copy_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.009s) 2022-11-23T02:16:11.0397655Z test_index_copy_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.009s) 2022-11-23T02:16:11.0398208Z test_index_copy_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.008s) 2022-11-23T02:16:11.0398778Z test_index_copy_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.008s) 2022-11-23T02:16:11.0399326Z test_index_copy_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.008s) 2022-11-23T02:16:11.0399867Z test_index_copy_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:16:11.0400413Z test_index_copy_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:16:11.0400939Z test_index_copy_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:16:11.0401481Z test_index_copy_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:16:11.0402016Z test_index_copy_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:16:11.0402582Z test_index_copy_deterministic_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (1.350s) 2022-11-23T02:16:11.0403163Z test_index_copy_mem_overlap_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.019s) 2022-11-23T02:16:11.0403719Z test_index_copy_scalars_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0404290Z test_index_copy_scalars_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0404860Z test_index_copy_scalars_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0405431Z test_index_copy_scalars_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0406010Z test_index_copy_scalars_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0406580Z test_index_copy_scalars_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0407131Z test_index_copy_scalars_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0407711Z test_index_copy_scalars_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0408287Z test_index_copy_scalars_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0408864Z test_index_copy_scalars_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0409578Z test_index_copy_scalars_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0410177Z test_index_copy_scalars_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0410756Z test_index_fill_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-11-23T02:16:11.0411261Z test_index_fill_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-11-23T02:16:11.0411814Z test_index_fill_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0412374Z test_index_fill_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0412909Z test_index_fill_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-11-23T02:16:11.0413515Z test_index_fill_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-11-23T02:16:11.0414053Z test_index_fill_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-11-23T02:16:11.0414598Z test_index_fill_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-11-23T02:16:11.0415106Z test_index_fill_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-11-23T02:16:11.0415671Z test_index_fill_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-11-23T02:16:11.0416203Z test_index_fill_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-11-23T02:16:11.0416755Z test_index_fill_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-11-23T02:16:11.0417299Z test_index_fill_mem_overlap_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:16:11.0417867Z test_index_put_mem_overlap_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.025s) 2022-11-23T02:16:11.0418486Z test_index_put_non_accumulate_deterministic_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.008s) 2022-11-23T02:16:11.0419625Z test_index_reduce_reduce_amax_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:2967: UserWarning: index_reduce() is in beta and the API may change at any time. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1070.) 2022-11-23T02:16:11.0420560Z dest.index_reduce_(dim, idx, src, reduce, include_self=include_self) 2022-11-23T02:16:11.0420970Z ok (0.044s) 2022-11-23T02:16:11.0421441Z test_index_reduce_reduce_amax_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.045s) 2022-11-23T02:16:11.0422064Z test_index_reduce_reduce_amax_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.045s) 2022-11-23T02:16:11.0422677Z test_index_reduce_reduce_amax_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.044s) 2022-11-23T02:16:11.0423280Z test_index_reduce_reduce_amax_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.038s) 2022-11-23T02:16:11.0423887Z test_index_reduce_reduce_amax_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.038s) 2022-11-23T02:16:11.0424466Z test_index_reduce_reduce_amax_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.038s) 2022-11-23T02:16:11.0425073Z test_index_reduce_reduce_amax_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.038s) 2022-11-23T02:16:11.0425680Z test_index_reduce_reduce_amax_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.038s) 2022-11-23T02:16:11.0426230Z test_index_reduce_reduce_amin_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.044s) 2022-11-23T02:16:11.0426808Z test_index_reduce_reduce_amin_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.045s) 2022-11-23T02:16:11.0427416Z test_index_reduce_reduce_amin_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.045s) 2022-11-23T02:16:11.0428028Z test_index_reduce_reduce_amin_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.044s) 2022-11-23T02:16:11.0428600Z test_index_reduce_reduce_amin_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.039s) 2022-11-23T02:16:11.0429258Z test_index_reduce_reduce_amin_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.039s) 2022-11-23T02:16:11.0429825Z test_index_reduce_reduce_amin_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.038s) 2022-11-23T02:16:11.0430523Z test_index_reduce_reduce_amin_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.039s) 2022-11-23T02:16:11.0431123Z test_index_reduce_reduce_amin_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.039s) 2022-11-23T02:16:11.0431715Z test_index_reduce_reduce_mean_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.050s) 2022-11-23T02:16:11.0432305Z test_index_reduce_reduce_mean_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.051s) 2022-11-23T02:16:11.0432881Z test_index_reduce_reduce_mean_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.050s) 2022-11-23T02:16:11.0433584Z test_index_reduce_reduce_mean_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.049s) 2022-11-23T02:16:11.0434167Z test_index_reduce_reduce_mean_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.044s) 2022-11-23T02:16:11.0434773Z test_index_reduce_reduce_mean_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.044s) 2022-11-23T02:16:11.0435352Z test_index_reduce_reduce_mean_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.043s) 2022-11-23T02:16:11.0435924Z test_index_reduce_reduce_mean_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.044s) 2022-11-23T02:16:11.0436510Z test_index_reduce_reduce_mean_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.044s) 2022-11-23T02:16:11.0437092Z test_index_reduce_reduce_prod_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.045s) 2022-11-23T02:16:11.0437685Z test_index_reduce_reduce_prod_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.045s) 2022-11-23T02:16:11.0438273Z test_index_reduce_reduce_prod_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.044s) 2022-11-23T02:16:11.0438871Z test_index_reduce_reduce_prod_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.043s) 2022-11-23T02:16:11.0439404Z test_index_reduce_reduce_prod_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.038s) 2022-11-23T02:16:11.0439978Z test_index_reduce_reduce_prod_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.038s) 2022-11-23T02:16:11.0440547Z test_index_reduce_reduce_prod_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.037s) 2022-11-23T02:16:11.0441095Z test_index_reduce_reduce_prod_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.038s) 2022-11-23T02:16:11.0441689Z test_index_reduce_reduce_prod_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.037s) 2022-11-23T02:16:11.0442281Z test_index_select_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-11-23T02:16:11.0442832Z test_index_select_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-11-23T02:16:11.0443402Z test_index_select_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-11-23T02:16:11.0443971Z test_index_select_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-11-23T02:16:11.0444522Z test_index_select_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-11-23T02:16:11.0445080Z test_index_select_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-11-23T02:16:11.0445600Z test_index_select_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-11-23T02:16:11.0446167Z test_index_select_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-11-23T02:16:11.0446738Z test_index_select_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-11-23T02:16:11.0447286Z test_index_select_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-11-23T02:16:11.0447825Z test_index_select_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-11-23T02:16:11.0448350Z test_index_select_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-11-23T02:16:11.0448930Z test_invalid_shapes_grid_sampler_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.036s) 2022-11-23T02:16:11.0449461Z test_is_set_to_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0449993Z test_is_signed_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0450635Z test_item_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0451142Z test_item_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0451669Z test_item_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0452219Z test_item_cpu_complex32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0452741Z test_item_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0453272Z test_item_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0453816Z test_item_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0454431Z test_item_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0454940Z test_item_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0455444Z test_item_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0455960Z test_item_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0456465Z test_item_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0456999Z test_item_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0457577Z test_large_cumprod_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:11.0458208Z test_large_cumsum_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:11.0458923Z test_log_normal_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0459508Z test_log_normal_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0460087Z test_log_normal_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0460619Z test_log_normal_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0461176Z test_logcumsumexp_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:16:11.0461740Z test_lognormal_kstest_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.008s) 2022-11-23T02:16:11.0462329Z test_lognormal_kstest_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.009s) 2022-11-23T02:16:11.0462898Z test_lognormal_kstest_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.008s) 2022-11-23T02:16:11.0463452Z test_lognormal_kstest_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:16:11.0464004Z test_masked_fill_bool_tensor_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0464546Z test_masked_fill_cpu_bfloat16_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0465116Z test_masked_fill_cpu_bfloat16_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0465692Z test_masked_fill_cpu_bool_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0466285Z test_masked_fill_cpu_bool_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0466849Z test_masked_fill_cpu_complex128_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0467422Z test_masked_fill_cpu_complex128_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0468009Z test_masked_fill_cpu_complex64_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0468560Z test_masked_fill_cpu_complex64_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0469220Z test_masked_fill_cpu_float16_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0469787Z test_masked_fill_cpu_float16_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0470360Z test_masked_fill_cpu_float32_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0470910Z test_masked_fill_cpu_float32_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0471632Z test_masked_fill_cpu_float64_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0472236Z test_masked_fill_cpu_float64_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0472812Z test_masked_fill_cpu_int16_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0473366Z test_masked_fill_cpu_int16_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0473903Z test_masked_fill_cpu_int32_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0474457Z test_masked_fill_cpu_int32_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0475084Z test_masked_fill_cpu_int64_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0475654Z test_masked_fill_cpu_int64_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0476214Z test_masked_fill_cpu_int8_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0476797Z test_masked_fill_cpu_int8_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0477359Z test_masked_fill_cpu_uint8_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0477939Z test_masked_fill_cpu_uint8_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0478518Z test_masked_fill_mem_overlap_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.009s) 2022-11-23T02:16:11.0479099Z test_masked_scatter_bool_tensor_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0479695Z test_masked_scatter_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.014s) 2022-11-23T02:16:11.0480278Z test_masked_scatter_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0480868Z test_masked_scatter_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s) 2022-11-23T02:16:11.0481449Z test_masked_scatter_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.014s) 2022-11-23T02:16:11.0482049Z test_masked_scatter_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.014s) 2022-11-23T02:16:11.0482637Z test_masked_scatter_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.014s) 2022-11-23T02:16:11.0483200Z test_masked_scatter_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s) 2022-11-23T02:16:11.0483785Z test_masked_scatter_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s) 2022-11-23T02:16:11.0484346Z test_masked_scatter_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s) 2022-11-23T02:16:11.0484926Z test_masked_scatter_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s) 2022-11-23T02:16:11.0485486Z test_masked_scatter_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s) 2022-11-23T02:16:11.0486058Z test_masked_scatter_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s) 2022-11-23T02:16:11.0486695Z test_masked_scatter_large_tensor_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:11.0487327Z test_masked_scatter_mem_overlap_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:16:11.0488445Z test_masked_select_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:3609: UserWarning: masked_select received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1796.) 2022-11-23T02:16:11.0489372Z torch.masked_select(src, mask, out=dst3) 2022-11-23T02:16:11.0489721Z ok (0.004s) 2022-11-23T02:16:11.0490611Z test_masked_select_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:3609: UserWarning: masked_select received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1796.) 2022-11-23T02:16:11.0491667Z torch.masked_select(src, mask, out=dst3) 2022-11-23T02:16:11.0492024Z ok (0.004s) 2022-11-23T02:16:11.0492984Z test_masked_select_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:3609: UserWarning: masked_select received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1796.) 2022-11-23T02:16:11.0493945Z torch.masked_select(src, mask, out=dst3) 2022-11-23T02:16:11.0494275Z ok (0.004s) 2022-11-23T02:16:11.0495232Z test_masked_select_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:3609: UserWarning: masked_select received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1796.) 2022-11-23T02:16:11.0496263Z torch.masked_select(src, mask, out=dst3) 2022-11-23T02:16:11.0496620Z ok (0.004s) 2022-11-23T02:16:11.0497570Z test_masked_select_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:3609: UserWarning: masked_select received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1796.) 2022-11-23T02:16:11.0498533Z torch.masked_select(src, mask, out=dst3) 2022-11-23T02:16:11.0499057Z ok (0.003s) 2022-11-23T02:16:11.0500009Z test_masked_select_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:3609: UserWarning: masked_select received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1796.) 2022-11-23T02:16:11.0500973Z torch.masked_select(src, mask, out=dst3) 2022-11-23T02:16:11.0501322Z ok (0.004s) 2022-11-23T02:16:11.0502270Z test_masked_select_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:3609: UserWarning: masked_select received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1796.) 2022-11-23T02:16:11.0503223Z torch.masked_select(src, mask, out=dst3) 2022-11-23T02:16:11.0503558Z ok (0.004s) 2022-11-23T02:16:11.0504503Z test_masked_select_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:3609: UserWarning: masked_select received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1796.) 2022-11-23T02:16:11.0505472Z torch.masked_select(src, mask, out=dst3) 2022-11-23T02:16:11.0505814Z ok (0.004s) 2022-11-23T02:16:11.0506674Z test_masked_select_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:3609: UserWarning: masked_select received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1796.) 2022-11-23T02:16:11.0507584Z torch.masked_select(src, mask, out=dst3) 2022-11-23T02:16:11.0507925Z ok (0.004s) 2022-11-23T02:16:11.0508835Z test_masked_select_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:3609: UserWarning: masked_select received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1796.) 2022-11-23T02:16:11.0509879Z torch.masked_select(src, mask, out=dst3) 2022-11-23T02:16:11.0510220Z ok (0.004s) 2022-11-23T02:16:11.0511298Z test_masked_select_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:3609: UserWarning: masked_select received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1796.) 2022-11-23T02:16:11.0512304Z torch.masked_select(src, mask, out=dst3) 2022-11-23T02:16:11.0512646Z ok (0.004s) 2022-11-23T02:16:11.0513598Z test_masked_select_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:3609: UserWarning: masked_select received a mask with dtype torch.uint8, this behavior is now deprecated,please use a mask with dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/TensorAdvancedIndexing.cpp:1796.) 2022-11-23T02:16:11.0514634Z torch.masked_select(src, mask, out=dst3) 2022-11-23T02:16:11.0514999Z ok (0.004s) 2022-11-23T02:16:11.0515445Z test_masked_select_discontiguous_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-11-23T02:16:11.0516048Z test_memory_format_clone_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.010s) 2022-11-23T02:16:11.0516637Z test_memory_format_consistency_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0517267Z test_memory_format_cpu_and_cuda_ops_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:11.0517908Z test_memory_format_empty_like_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:16:11.0518548Z test_memory_format_factory_like_functions_preserve_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.269s) 2022-11-23T02:16:11.0519165Z test_memory_format_operators_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.155s) 2022-11-23T02:16:11.0519768Z test_memory_format_preserved_after_permute_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0520401Z test_memory_format_propagation_rules_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0520988Z test_memory_format_to_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.011s) 2022-11-23T02:16:11.0521520Z test_memory_format_type_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.011s) 2022-11-23T02:16:11.0522108Z test_memory_format_type_shortcuts_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.103s) 2022-11-23T02:16:11.0522739Z test_module_share_memory_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:11.0523346Z test_multinomial_cpu_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0523876Z test_multinomial_cpu_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0524416Z test_multinomial_cpu_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0524973Z test_multinomial_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.025s) 2022-11-23T02:16:11.0525485Z test_multinomial_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.019s) 2022-11-23T02:16:11.0526130Z test_multinomial_deterministic_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:11.0526833Z test_multinomial_deterministic_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:11.0527508Z test_multinomial_deterministic_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:11.0528155Z test_multinomial_device_constrain_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:11.0528824Z test_multinomial_empty_w_replacement_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0529485Z test_multinomial_empty_wo_replacement_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0530135Z test_multinomial_gpu_device_constrain_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: fewer than 2 devices detected (0.001s) 2022-11-23T02:16:11.0530986Z test_multinomial_rng_state_advance_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... skip: test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test (0.001s) 2022-11-23T02:16:11.0531677Z test_narrow_empty_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0532273Z test_nondeterministic_alert_AdaptiveAvgPool2d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0532917Z test_nondeterministic_alert_AdaptiveAvgPool3d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0533561Z test_nondeterministic_alert_AdaptiveMaxPool2d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0534201Z test_nondeterministic_alert_AvgPool3d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0534927Z test_nondeterministic_alert_CTCLoss_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0535520Z test_nondeterministic_alert_EmbeddingBag_max_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0536176Z test_nondeterministic_alert_FractionalMaxPool2d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0536845Z test_nondeterministic_alert_FractionalMaxPool3d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0537483Z test_nondeterministic_alert_MaxPool3d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0538148Z test_nondeterministic_alert_MaxUnpool1d_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... skip: float16 not implemented on CPU (0.001s) 2022-11-23T02:16:11.0539007Z test_nondeterministic_alert_MaxUnpool1d_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.008s) 2022-11-23T02:16:11.0539645Z test_nondeterministic_alert_MaxUnpool1d_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.008s) 2022-11-23T02:16:11.0540364Z test_nondeterministic_alert_MaxUnpool2d_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... skip: float16 not implemented on CPU (0.001s) 2022-11-23T02:16:11.0541077Z test_nondeterministic_alert_MaxUnpool2d_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:16:11.0541757Z test_nondeterministic_alert_MaxUnpool2d_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:16:11.0542494Z test_nondeterministic_alert_MaxUnpool3d_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... skip: float16 not implemented on CPU (0.001s) 2022-11-23T02:16:11.0543203Z test_nondeterministic_alert_MaxUnpool3d_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:16:11.0543859Z test_nondeterministic_alert_MaxUnpool3d_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:16:11.0544507Z test_nondeterministic_alert_NLLLoss_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0545148Z test_nondeterministic_alert_ReflectionPad1d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0545812Z test_nondeterministic_alert_ReflectionPad2d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0546486Z test_nondeterministic_alert_ReflectionPad3d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0547114Z test_nondeterministic_alert_ReplicationPad1d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0547762Z test_nondeterministic_alert_ReplicationPad2d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0548402Z test_nondeterministic_alert_ReplicationPad3d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0549032Z test_nondeterministic_alert_bincount_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0549735Z test_nondeterministic_alert_cumsum_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0550378Z test_nondeterministic_alert_cumsum_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0550976Z test_nondeterministic_alert_cumsum_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0551696Z test_nondeterministic_alert_cumsum_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0552306Z test_nondeterministic_alert_cumsum_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0552901Z test_nondeterministic_alert_cumsum_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0553515Z test_nondeterministic_alert_cumsum_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0554105Z test_nondeterministic_alert_cumsum_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0554727Z test_nondeterministic_alert_cumsum_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0555457Z test_nondeterministic_alert_cumsum_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0556092Z test_nondeterministic_alert_grid_sample_2d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0556746Z test_nondeterministic_alert_grid_sample_3d_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0557379Z test_nondeterministic_alert_histc_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0558024Z test_nondeterministic_alert_interpolate_bicubic_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0558713Z test_nondeterministic_alert_interpolate_bilinear_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0559355Z test_nondeterministic_alert_interpolate_linear_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0559988Z test_nondeterministic_alert_interpolate_trilinear_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0560642Z test_nondeterministic_alert_kthvalue_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0562081Z test_nondeterministic_alert_median_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... test_torch.py:1628: UserWarning: An output with one or more elements was resized since it had shape [10], which does not match the required output shape []. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Resize.cpp:31.) 2022-11-23T02:16:11.0563315Z torch.median(a, 0, out=(result, indices)) 2022-11-23T02:16:11.0563660Z ok (0.002s) 2022-11-23T02:16:11.0564128Z test_nondeterministic_alert_put_accumulate_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0564757Z test_nondeterministic_alert_put_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s) 2022-11-23T02:16:11.0565341Z test_normal_kstest_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:16:11.0565892Z test_normal_kstest_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.008s) 2022-11-23T02:16:11.0566473Z test_normal_kstest_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:16:11.0567066Z test_nullary_op_mem_overlap_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.043s) 2022-11-23T02:16:11.0567624Z test_pairwise_distance_empty_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0568172Z test_pdist_empty_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0568770Z test_pdist_norm_large_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:11.0569999Z test_pickle_gradscaler_cpu (__main__.TestTorchDeviceTypeCPU) ... /opt/conda/lib/python3.7/site-packages/torch/cuda/amp/grad_scaler.py:118: UserWarning: torch.cuda.amp.GradScaler is enabled, but CUDA is not available. Disabling. 2022-11-23T02:16:11.0570883Z warnings.warn("torch.cuda.amp.GradScaler is enabled, but CUDA is not available. Disabling.") 2022-11-23T02:16:11.0571316Z ok (0.002s) 2022-11-23T02:16:11.0571910Z test_pin_memory_from_constructor_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:16:11.0572543Z test_put_accumulate_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0573113Z test_put_accumulate_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0573707Z test_put_accumulate_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0574300Z test_put_accumulate_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0574879Z test_put_accumulate_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0575505Z test_put_accumulate_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0576073Z test_put_accumulate_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0576614Z test_put_accumulate_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0577163Z test_put_accumulate_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0577745Z test_put_accumulate_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0578320Z test_put_accumulate_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0578998Z test_put_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.036s) 2022-11-23T02:16:11.0579525Z test_put_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.039s) 2022-11-23T02:16:11.0580056Z test_put_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.040s) 2022-11-23T02:16:11.0580584Z test_put_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.036s) 2022-11-23T02:16:11.0581095Z test_put_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.036s) 2022-11-23T02:16:11.0581622Z test_put_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.035s) 2022-11-23T02:16:11.0582134Z test_put_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.030s) 2022-11-23T02:16:11.0582636Z test_put_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.029s) 2022-11-23T02:16:11.0583098Z test_put_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.028s) 2022-11-23T02:16:11.0583586Z test_put_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.029s) 2022-11-23T02:16:11.0584102Z test_put_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.029s) 2022-11-23T02:16:11.0584594Z test_put_empty_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0585136Z test_put_mem_overlap_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.025s) 2022-11-23T02:16:11.0585694Z test_repeat_interleave_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0587095Z test_scalar_check_cpu (__main__.TestTorchDeviceTypeCPU) ... /opt/conda/lib/python3.7/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T02:16:11.0587944Z warnings.warn(message, UserWarning) 2022-11-23T02:16:11.0588285Z ok (0.099s) 2022-11-23T02:16:11.0588693Z test_scatter_add_bool_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0589345Z test_scatter_add_non_unique_index_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:16:11.0589988Z test_scatter_add_one_dim_deterministic_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.514s) 2022-11-23T02:16:11.0590612Z test_scatter_add_to_large_input_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0591179Z test_scatter_bool_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0591730Z test_scatter_mem_overlap_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.015s) 2022-11-23T02:16:11.0592435Z test_scatter_reduce_multiply_unsupported_dtypes_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:11.0593334Z test_scatter_reduce_multiply_unsupported_dtypes_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:11.0594028Z test_scatter_reduce_non_unique_index_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0594652Z test_scatter_reduce_non_unique_index_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0595294Z test_scatter_reduce_non_unique_index_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0595955Z test_scatter_reduce_non_unique_index_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0596596Z test_scatter_reduce_non_unique_index_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0597351Z test_scatter_reduce_non_unique_index_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0597909Z test_scatter_reduce_non_unique_index_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0598511Z test_scatter_reduce_non_unique_index_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0599096Z test_scatter_reduce_non_unique_index_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0599718Z test_scatter_reduce_non_unique_index_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0600341Z test_scatter_reduce_non_unique_index_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0600947Z test_scatter_reduce_non_unique_index_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0601590Z test_scatter_reduce_operations_to_large_input_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0602280Z test_scatter_reduce_operations_to_large_input_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0602973Z test_scatter_reduce_operations_to_large_input_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0603712Z test_scatter_reduce_operations_to_large_input_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0604369Z test_scatter_reduce_operations_to_large_input_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0605053Z test_scatter_reduce_operations_to_large_input_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0605727Z test_scatter_reduce_operations_to_large_input_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0606374Z test_scatter_reduce_operations_to_large_input_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0607048Z test_scatter_reduce_operations_to_large_input_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0607719Z test_scatter_reduce_operations_to_large_input_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0608394Z test_scatter_reduce_operations_to_large_input_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0609027Z test_scatter_reduce_operations_to_large_input_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0609651Z test_scatter_reduce_scalar_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0610241Z test_scatter_reduce_scalar_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0610841Z test_scatter_reduce_scalar_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0611420Z test_scatter_reduce_scalar_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0612035Z test_scatter_reduce_scalar_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0612628Z test_scatter_reduce_scalar_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0613331Z test_scatter_reduce_scalar_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0613921Z test_scatter_reduce_scalar_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0614486Z test_scatter_reduce_scalar_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0615102Z test_scatter_reduce_scalar_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0615705Z test_scatter_reduce_scalar_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0616322Z test_scatter_reduce_scalar_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0617008Z test_scatter_to_large_input_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0617619Z test_scatter_zero_size_index_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0618237Z test_serialization_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:11.0619003Z test_set_storage_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s) 2022-11-23T02:16:11.0619605Z test_set_storage_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.012s) 2022-11-23T02:16:11.0620166Z test_set_storage_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s) 2022-11-23T02:16:11.0620761Z test_set_storage_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s) 2022-11-23T02:16:11.0621351Z test_set_storage_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s) 2022-11-23T02:16:11.0621938Z test_set_storage_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s) 2022-11-23T02:16:11.0622511Z test_set_storage_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.012s) 2022-11-23T02:16:11.0623085Z test_set_storage_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.012s) 2022-11-23T02:16:11.0623662Z test_set_storage_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.012s) 2022-11-23T02:16:11.0624232Z test_set_storage_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.012s) 2022-11-23T02:16:11.0624809Z test_set_storage_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.012s) 2022-11-23T02:16:11.0625384Z test_set_storage_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.012s) 2022-11-23T02:16:11.0625957Z test_shift_mem_overlap_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s) 2022-11-23T02:16:11.0626495Z test_skip_xla_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0627052Z test_storage_all_devices_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:11.0627609Z test_storage_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:16:11.0628124Z test_storage_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:16:11.0628657Z test_storage_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-11-23T02:16:11.0629284Z test_storage_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-11-23T02:16:11.0629805Z test_storage_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-11-23T02:16:11.0630337Z test_storage_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-11-23T02:16:11.0630865Z test_storage_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-11-23T02:16:11.0631397Z test_storage_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.005s) 2022-11-23T02:16:11.0631911Z test_storage_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:16:11.0632458Z test_storage_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:16:11.0633020Z test_storage_meta_errors_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.016s) 2022-11-23T02:16:11.0633585Z test_storage_meta_errors_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.015s) 2022-11-23T02:16:11.0634174Z test_storage_meta_errors_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.015s) 2022-11-23T02:16:11.0634873Z test_storage_meta_errors_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.015s) 2022-11-23T02:16:11.0635481Z test_storage_meta_errors_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.015s) 2022-11-23T02:16:11.0636043Z test_storage_meta_errors_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.015s) 2022-11-23T02:16:11.0636623Z test_storage_meta_errors_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.015s) 2022-11-23T02:16:11.0637204Z test_storage_meta_errors_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.015s) 2022-11-23T02:16:11.0637751Z test_storage_meta_errors_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.015s) 2022-11-23T02:16:11.0638383Z test_storage_meta_errors_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.015s) 2022-11-23T02:16:11.0638936Z test_storage_meta_errors_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.015s) 2022-11-23T02:16:11.0639492Z test_storage_meta_errors_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.015s) 2022-11-23T02:16:11.0640048Z test_storage_meta_from_tensor_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0640648Z test_storage_meta_from_tensor_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0641257Z test_storage_meta_from_tensor_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0641862Z test_storage_meta_from_tensor_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0642435Z test_storage_meta_from_tensor_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0643022Z test_storage_meta_from_tensor_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0643618Z test_storage_meta_from_tensor_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0644189Z test_storage_meta_from_tensor_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0644779Z test_storage_meta_from_tensor_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0645370Z test_storage_meta_from_tensor_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0645960Z test_storage_meta_from_tensor_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0646536Z test_storage_meta_from_tensor_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0647110Z test_storage_setitem_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0647680Z test_storage_setitem_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:16:11.0648258Z test_storage_setitem_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:16:11.0648817Z test_storage_setitem_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:16:11.0649378Z test_storage_setitem_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:16:11.0649935Z test_storage_setitem_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:16:11.0650474Z test_storage_setitem_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:16:11.0651014Z test_storage_setitem_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:16:11.0651573Z test_storage_setitem_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:16:11.0652124Z test_storage_setitem_cpu_qint32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:16:11.0652676Z test_storage_setitem_cpu_qint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:16:11.0653240Z test_storage_setitem_cpu_quint4x2 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:16:11.0653799Z test_storage_setitem_cpu_quint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:16:11.0654347Z test_storage_setitem_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:16:11.0655055Z test_strides_propagation_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.099s) 2022-11-23T02:16:11.0655668Z test_sync_warning_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: Only runs on cuda (0.003s) 2022-11-23T02:16:11.0656224Z test_take_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.008s) 2022-11-23T02:16:11.0656737Z test_take_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-11-23T02:16:11.0657249Z test_take_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:16:11.0657772Z test_take_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.008s) 2022-11-23T02:16:11.0658270Z test_take_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:16:11.0659030Z test_take_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:16:11.0659543Z test_take_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.007s) 2022-11-23T02:16:11.0660040Z test_take_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-11-23T02:16:11.0660551Z test_take_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-11-23T02:16:11.0661071Z test_take_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-11-23T02:16:11.0661572Z test_take_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-11-23T02:16:11.0662088Z test_take_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.006s) 2022-11-23T02:16:11.0662626Z test_take_empty_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0663199Z test_tensor_from_storage_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.014s) 2022-11-23T02:16:11.0663755Z test_tensor_from_storage_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.014s) 2022-11-23T02:16:11.0664309Z test_tensor_from_storage_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.014s) 2022-11-23T02:16:11.0664886Z test_tensor_from_storage_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.014s) 2022-11-23T02:16:11.0665453Z test_tensor_from_storage_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.014s) 2022-11-23T02:16:11.0666007Z test_tensor_from_storage_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.014s) 2022-11-23T02:16:11.0666569Z test_tensor_from_storage_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.014s) 2022-11-23T02:16:11.0667154Z test_tensor_from_storage_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.014s) 2022-11-23T02:16:11.0667738Z test_tensor_from_storage_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.014s) 2022-11-23T02:16:11.0668298Z test_tensor_from_storage_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.014s) 2022-11-23T02:16:11.0668874Z test_tensor_from_storage_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.014s) 2022-11-23T02:16:11.0669534Z test_tensor_from_storage_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.014s) 2022-11-23T02:16:11.0670166Z test_tensor_set_errors_multigpu_cpu (__main__.TestTorchDeviceTypeCPU) ... skip: fewer than 2 devices detected (0.001s) 2022-11-23T02:16:11.0670788Z test_tensor_shape_empty_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.012s) 2022-11-23T02:16:11.0671349Z test_tensor_storage_type_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0671946Z test_tensor_storage_type_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0672528Z test_tensor_storage_type_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0673140Z test_tensor_storage_type_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0673727Z test_tensor_storage_type_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0674248Z test_tensor_storage_type_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0674796Z test_tensor_storage_type_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0675464Z test_tensor_storage_type_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0675999Z test_tensor_storage_type_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0676548Z test_tensor_storage_type_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0677094Z test_tensor_storage_type_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0677639Z test_tensor_storage_type_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0678185Z test_ternary_op_mem_overlap_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.117s) 2022-11-23T02:16:11.0678894Z test_typed_storage_meta_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0679454Z test_typed_storage_meta_cpu_bool (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0680040Z test_typed_storage_meta_cpu_complex128 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0680632Z test_typed_storage_meta_cpu_complex64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0681227Z test_typed_storage_meta_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0681798Z test_typed_storage_meta_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0682374Z test_typed_storage_meta_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0682927Z test_typed_storage_meta_cpu_int16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0683485Z test_typed_storage_meta_cpu_int32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0684060Z test_typed_storage_meta_cpu_int64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0684611Z test_typed_storage_meta_cpu_int8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0685169Z test_typed_storage_meta_cpu_uint8 (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0685736Z test_unfold_all_devices_and_dtypes_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.003s) 2022-11-23T02:16:11.0686307Z test_unfold_scalars_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0686838Z test_uniform_kstest_cpu_bfloat16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:16:11.0687402Z test_uniform_kstest_cpu_float16 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:16:11.0687939Z test_uniform_kstest_cpu_float32 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:16:11.0688460Z test_uniform_kstest_cpu_float64 (__main__.TestTorchDeviceTypeCPU) ... ok (0.004s) 2022-11-23T02:16:11.0689022Z test_untyped_storage_meta_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.002s) 2022-11-23T02:16:11.0689585Z test_warn_always_caught_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.001s) 2022-11-23T02:16:11.0690165Z test_where_scalar_handcrafted_values_cpu (__main__.TestTorchDeviceTypeCPU) ... ok (0.013s) 2022-11-23T02:16:11.0690807Z test_cuda_vitals_gpu_only_cpu (__main__.TestVitalSignsCudaCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:11.0691156Z 2022-11-23T02:16:11.0691551Z ---------------------------------------------------------------------- 2022-11-23T02:16:11.0691994Z Ran 828 tests in 12.951s 2022-11-23T02:16:11.0692213Z 2022-11-23T02:16:11.0692331Z OK (skipped=38) 2022-11-23T02:16:11.0692517Z 2022-11-23T02:16:11.0692671Z Generating XML reports... 2022-11-23T02:16:11.0693418Z Generated XML report: test-reports/python-unittest/test_torch/TEST-TestBasicVitalSigns-20221123021557.xml 2022-11-23T02:16:11.0694278Z Generated XML report: test-reports/python-unittest/test_torch/TEST-TestTorch-20221123021557.xml 2022-11-23T02:16:11.0695157Z Generated XML report: test-reports/python-unittest/test_torch/TEST-TestTorchDeviceTypeCPU-20221123021557.xml 2022-11-23T02:16:11.0696062Z Generated XML report: test-reports/python-unittest/test_torch/TEST-TestVitalSignsCudaCPU-20221123021557.xml 2022-11-23T02:16:11.0696742Z [TORCH_VITAL] Dataloader.enabled True 2022-11-23T02:16:11.0697185Z [TORCH_VITAL] Dataloader.basic_unit_test TEST_VALUE_STRING 2022-11-23T02:16:11.0697600Z [TORCH_VITAL] CUDA.used False 2022-11-23T02:16:11.0697821Z 2022-11-23T02:16:11.0698383Z ##[endgroup] 2022-11-23T02:16:11.0699423Z FINISHED PRINTING LOG FILE of test_torch (/var/lib/jenkins/workspace/test/test-reports/test_torch_ftvdenbt) 2022-11-23T02:16:11.0699714Z 2022-11-23T02:16:11.0699964Z Running test_cpp_api_parity ... [2022-11-23 02:16:11.013584] 2022-11-23T02:16:11.0700459Z Executing ['/opt/conda/bin/python', '-bb', 'test_cpp_api_parity.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:16:11.013944] 2022-11-23T02:16:23.7452738Z 2022-11-23T02:16:23.7453618Z Expand the folded group to see the log file of test_cpp_api_parity 2022-11-23T02:16:23.7454714Z ##[group]PRINTING LOG FILE of test_cpp_api_parity (/var/lib/jenkins/workspace/test/test-reports/test_cpp_api_parity_1bn1i5fl) 2022-11-23T02:16:23.7455620Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T02:16:23.7456228Z Test results will be stored in test-reports/python-unittest/test_cpp_api_parity 2022-11-23T02:16:23.7456552Z 2022-11-23T02:16:23.7456666Z Running tests... 2022-11-23T02:16:23.7457160Z ---------------------------------------------------------------------- 2022-11-23T02:16:23.7457635Z test_torch_nn_AdaptiveAvgPool1d (__main__.TestCppApiParity) ... ok (0.033s) 2022-11-23T02:16:23.7458132Z test_torch_nn_AdaptiveAvgPool1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7458674Z test_torch_nn_AdaptiveAvgPool1d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7459394Z test_torch_nn_AdaptiveAvgPool1d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7459856Z test_torch_nn_AdaptiveAvgPool1d_one_output (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7460325Z test_torch_nn_AdaptiveAvgPool1d_one_output_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7460826Z test_torch_nn_AdaptiveAvgPool2d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7461301Z test_torch_nn_AdaptiveAvgPool2d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7461789Z test_torch_nn_AdaptiveAvgPool2d_single (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7462160Z test_torch_nn_AdaptiveAvgPool2d_single_1x1output (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7462618Z test_torch_nn_AdaptiveAvgPool2d_single_1x1output_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7463192Z test_torch_nn_AdaptiveAvgPool2d_single_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7463724Z test_torch_nn_AdaptiveAvgPool2d_tuple (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7464243Z test_torch_nn_AdaptiveAvgPool2d_tuple_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7464869Z test_torch_nn_AdaptiveAvgPool2d_tuple_none (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7465430Z test_torch_nn_AdaptiveAvgPool2d_tuple_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7465944Z test_torch_nn_AdaptiveAvgPool3d_last_dim (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7466510Z test_torch_nn_AdaptiveAvgPool3d_last_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7467013Z test_torch_nn_AdaptiveAvgPool3d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7467531Z test_torch_nn_AdaptiveAvgPool3d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7468043Z test_torch_nn_AdaptiveAvgPool3d_single (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7468742Z test_torch_nn_AdaptiveAvgPool3d_single_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7469305Z test_torch_nn_AdaptiveAvgPool3d_tuple (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T02:16:23.7470002Z test_torch_nn_AdaptiveAvgPool3d_tuple_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7470526Z test_torch_nn_AdaptiveAvgPool3d_tuple_none (__main__.TestCppApiParity) ... ok (0.015s) 2022-11-23T02:16:23.7471148Z test_torch_nn_AdaptiveAvgPool3d_tuple_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7471787Z test_torch_nn_AdaptiveMaxPool1d (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7472408Z test_torch_nn_AdaptiveMaxPool1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7472981Z test_torch_nn_AdaptiveMaxPool1d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7473596Z test_torch_nn_AdaptiveMaxPool1d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7474219Z test_torch_nn_AdaptiveMaxPool2d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7474741Z test_torch_nn_AdaptiveMaxPool2d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7475100Z test_torch_nn_AdaptiveMaxPool2d_single (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7475612Z test_torch_nn_AdaptiveMaxPool2d_single_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7475972Z test_torch_nn_AdaptiveMaxPool2d_tuple (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7476323Z test_torch_nn_AdaptiveMaxPool2d_tuple_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7476679Z test_torch_nn_AdaptiveMaxPool2d_tuple_none (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7477043Z test_torch_nn_AdaptiveMaxPool2d_tuple_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7477403Z test_torch_nn_AdaptiveMaxPool3d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7477759Z test_torch_nn_AdaptiveMaxPool3d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7478117Z test_torch_nn_AdaptiveMaxPool3d_single (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7478472Z test_torch_nn_AdaptiveMaxPool3d_single_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7478821Z test_torch_nn_AdaptiveMaxPool3d_single_nonatomic (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7479204Z test_torch_nn_AdaptiveMaxPool3d_single_nonatomic_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7479566Z test_torch_nn_AdaptiveMaxPool3d_tuple (__main__.TestCppApiParity) ... ok (0.016s) 2022-11-23T02:16:23.7479923Z test_torch_nn_AdaptiveMaxPool3d_tuple_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7480275Z test_torch_nn_AdaptiveMaxPool3d_tuple_nonatomic (__main__.TestCppApiParity) ... ok (0.016s) 2022-11-23T02:16:23.7480649Z test_torch_nn_AdaptiveMaxPool3d_tuple_nonatomic_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7481014Z test_torch_nn_AdaptiveMaxPool3d_tuple_none (__main__.TestCppApiParity) ... ok (0.019s) 2022-11-23T02:16:23.7481509Z test_torch_nn_AdaptiveMaxPool3d_tuple_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7481836Z test_torch_nn_AvgPool1d (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7482153Z test_torch_nn_AvgPool1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7482478Z test_torch_nn_AvgPool1d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7482879Z test_torch_nn_AvgPool1d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7483217Z test_torch_nn_AvgPool1d_stride (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7483548Z test_torch_nn_AvgPool1d_stride_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7483882Z test_torch_nn_AvgPool1d_stride_pad (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7484211Z test_torch_nn_AvgPool1d_stride_pad_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7484531Z test_torch_nn_AvgPool2d (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7484894Z test_torch_nn_AvgPool2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7485349Z test_torch_nn_AvgPool2d_divisor (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7485674Z test_torch_nn_AvgPool2d_divisor_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7486080Z test_torch_nn_AvgPool2d_divisor_stride (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7486435Z test_torch_nn_AvgPool2d_divisor_stride_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7486769Z test_torch_nn_AvgPool2d_divisor_stride_pad (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7487121Z test_torch_nn_AvgPool2d_divisor_stride_pad_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7487469Z test_torch_nn_AvgPool2d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7487816Z test_torch_nn_AvgPool2d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7488139Z test_torch_nn_AvgPool2d_stride (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7488467Z test_torch_nn_AvgPool2d_stride_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7488804Z test_torch_nn_AvgPool2d_stride_pad (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7489132Z test_torch_nn_AvgPool2d_stride_pad_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7489458Z test_torch_nn_AvgPool3d (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7489776Z test_torch_nn_AvgPool3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7490094Z test_torch_nn_AvgPool3d_divisor (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7490414Z test_torch_nn_AvgPool3d_divisor_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7490754Z test_torch_nn_AvgPool3d_divisor_stride (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7491095Z test_torch_nn_AvgPool3d_divisor_stride1_pad0_gpu_input (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7491475Z test_torch_nn_AvgPool3d_divisor_stride1_pad0_gpu_input_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7491850Z test_torch_nn_AvgPool3d_divisor_stride_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7492194Z test_torch_nn_AvgPool3d_divisor_stride_pad (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7492548Z test_torch_nn_AvgPool3d_divisor_stride_pad_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7492908Z test_torch_nn_AvgPool3d_divisor_stride_pad_gpu_fixedkw_output (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7493299Z test_torch_nn_AvgPool3d_divisor_stride_pad_gpu_fixedkw_output_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7493690Z test_torch_nn_AvgPool3d_divisor_stride_pad_gpu_general_output (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7494123Z test_torch_nn_AvgPool3d_divisor_stride_pad_gpu_general_output_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7494511Z test_torch_nn_AvgPool3d_divisor_stride_pad_gpu_input_nooverlap (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7494905Z test_torch_nn_AvgPool3d_divisor_stride_pad_gpu_input_nooverlap_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7495268Z test_torch_nn_AvgPool3d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7495611Z test_torch_nn_AvgPool3d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7495933Z test_torch_nn_AvgPool3d_stride (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7496291Z test_torch_nn_AvgPool3d_stride1_pad0_gpu_input (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7496654Z test_torch_nn_AvgPool3d_stride1_pad0_gpu_input_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7497027Z test_torch_nn_AvgPool3d_stride_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7497349Z test_torch_nn_AvgPool3d_stride_pad (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7497692Z test_torch_nn_AvgPool3d_stride_pad_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7498047Z test_torch_nn_AvgPool3d_stride_pad_gpu_fixedkw_output (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7498412Z test_torch_nn_AvgPool3d_stride_pad_gpu_fixedkw_output_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7498947Z test_torch_nn_AvgPool3d_stride_pad_gpu_general_output (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7499336Z test_torch_nn_AvgPool3d_stride_pad_gpu_general_output_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7499713Z test_torch_nn_AvgPool3d_stride_pad_gpu_input_nooverlap (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7500079Z test_torch_nn_AvgPool3d_stride_pad_gpu_input_nooverlap_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7500420Z test_torch_nn_BCELoss (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7500732Z test_torch_nn_BCELoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7501076Z test_torch_nn_BCELoss_no_batch_dim_mean (__main__.TestCppApiParity) ... expected failure (0.008s) 2022-11-23T02:16:23.7501422Z test_torch_nn_BCELoss_no_batch_dim_mean_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7501781Z test_torch_nn_BCELoss_no_batch_dim_none (__main__.TestCppApiParity) ... expected failure (0.008s) 2022-11-23T02:16:23.7502138Z test_torch_nn_BCELoss_no_batch_dim_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7502481Z test_torch_nn_BCELoss_no_batch_dim_sum (__main__.TestCppApiParity) ... expected failure (0.008s) 2022-11-23T02:16:23.7502838Z test_torch_nn_BCELoss_no_batch_dim_sum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7503178Z test_torch_nn_BCELoss_scalar_weights (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7503521Z test_torch_nn_BCELoss_scalar_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7503840Z test_torch_nn_BCELoss_weights (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7504168Z test_torch_nn_BCELoss_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7504502Z test_torch_nn_BCEWithLogitsLoss (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7504844Z test_torch_nn_BCEWithLogitsLoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7505205Z test_torch_nn_BCEWithLogitsLoss_no_batch_dim_mean (__main__.TestCppApiParity) ... expected failure (0.008s) 2022-11-23T02:16:23.7505662Z test_torch_nn_BCEWithLogitsLoss_no_batch_dim_mean_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7506050Z test_torch_nn_BCEWithLogitsLoss_no_batch_dim_none (__main__.TestCppApiParity) ... expected failure (0.008s) 2022-11-23T02:16:23.7506424Z test_torch_nn_BCEWithLogitsLoss_no_batch_dim_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7506811Z test_torch_nn_BCEWithLogitsLoss_no_batch_dim_sum (__main__.TestCppApiParity) ... expected failure (0.008s) 2022-11-23T02:16:23.7507194Z test_torch_nn_BCEWithLogitsLoss_no_batch_dim_sum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7507603Z test_torch_nn_BCEWithLogitsLoss_scalar_weights (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7507961Z test_torch_nn_BCEWithLogitsLoss_scalar_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7508324Z test_torch_nn_BCEWithLogitsLoss_weights (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7508681Z test_torch_nn_BCEWithLogitsLoss_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7509030Z test_torch_nn_BatchNorm1d_3d_input (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7509442Z test_torch_nn_BatchNorm1d_3d_input_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7509789Z test_torch_nn_BatchNorm1d_3d_input_not_affine (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7510538Z test_torch_nn_BatchNorm1d_3d_input_not_affine_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7510884Z test_torch_nn_BatchNorm1d_affine (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T02:16:23.7511208Z test_torch_nn_BatchNorm1d_affine_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7511560Z test_torch_nn_BatchNorm1d_affine_simple_average (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7511926Z test_torch_nn_BatchNorm1d_affine_simple_average_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7512266Z test_torch_nn_BatchNorm1d_not_affine (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7512610Z test_torch_nn_BatchNorm1d_not_affine_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7512956Z test_torch_nn_BatchNorm1d_not_tracking_stats (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7513314Z test_torch_nn_BatchNorm1d_not_tracking_stats_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7513649Z test_torch_nn_BatchNorm1d_zero_batch (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7513991Z test_torch_nn_BatchNorm1d_zero_batch_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7514323Z test_torch_nn_BatchNorm2d (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T02:16:23.7514635Z test_torch_nn_BatchNorm2d_2d_simple_average (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T02:16:23.7514978Z test_torch_nn_BatchNorm2d_2d_simple_average_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7515337Z test_torch_nn_BatchNorm2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7515664Z test_torch_nn_BatchNorm2d_momentum (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T02:16:23.7515991Z test_torch_nn_BatchNorm2d_momentum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7516328Z test_torch_nn_BatchNorm2d_not_affine (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7516667Z test_torch_nn_BatchNorm2d_not_affine_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7517050Z test_torch_nn_BatchNorm2d_not_tracking_stats (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T02:16:23.7517398Z test_torch_nn_BatchNorm2d_not_tracking_stats_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7517744Z test_torch_nn_BatchNorm2d_zero_batch (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7518083Z test_torch_nn_BatchNorm2d_zero_batch_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7518408Z test_torch_nn_BatchNorm3d (__main__.TestCppApiParity) ... ok (0.015s) 2022-11-23T02:16:23.7518707Z test_torch_nn_BatchNorm3d_3d_simple_average (__main__.TestCppApiParity) ... ok (0.016s) 2022-11-23T02:16:23.7519095Z test_torch_nn_BatchNorm3d_3d_simple_average_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7519456Z test_torch_nn_BatchNorm3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7519769Z test_torch_nn_BatchNorm3d_momentum (__main__.TestCppApiParity) ... ok (0.016s) 2022-11-23T02:16:23.7520112Z test_torch_nn_BatchNorm3d_momentum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7520448Z test_torch_nn_BatchNorm3d_not_affine (__main__.TestCppApiParity) ... ok (0.015s) 2022-11-23T02:16:23.7520787Z test_torch_nn_BatchNorm3d_not_affine_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7521120Z test_torch_nn_BatchNorm3d_not_tracking_stats (__main__.TestCppApiParity) ... ok (0.015s) 2022-11-23T02:16:23.7521478Z test_torch_nn_BatchNorm3d_not_tracking_stats_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7521823Z test_torch_nn_BatchNorm3d_zero_batch (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7522164Z test_torch_nn_BatchNorm3d_zero_batch_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7522467Z test_torch_nn_CELU (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7522769Z test_torch_nn_CELU_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7523077Z test_torch_nn_CELU_scalar (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7523384Z test_torch_nn_CELU_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7523726Z test_torch_nn_CTCLoss_2d_int_target_lengths_tensors (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7524090Z test_torch_nn_CTCLoss_2d_int_target_lengths_tensors_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7524445Z test_torch_nn_CTCLoss_2d_lengths_tensors (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7524786Z test_torch_nn_CTCLoss_2d_lengths_tensors_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7525128Z test_torch_nn_CTCLoss_lengths_tensors (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7525474Z test_torch_nn_CTCLoss_lengths_tensors_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7525794Z test_torch_nn_ConstantPad1d (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7526100Z test_torch_nn_ConstantPad1d_batch (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7526446Z test_torch_nn_ConstantPad1d_batch_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7526785Z test_torch_nn_ConstantPad1d_complex (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7527118Z test_torch_nn_ConstantPad1d_complex_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7527478Z test_torch_nn_ConstantPad1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7527802Z test_torch_nn_ConstantPad2d (__main__.TestCppApiParity) ... ok (0.014s) 2022-11-23T02:16:23.7528111Z test_torch_nn_ConstantPad2d_complex (__main__.TestCppApiParity) ... ok (0.015s) 2022-11-23T02:16:23.7528472Z test_torch_nn_ConstantPad2d_complex_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7528833Z test_torch_nn_ConstantPad2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7529169Z test_torch_nn_ConstantPad2d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7529510Z test_torch_nn_ConstantPad2d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7529845Z test_torch_nn_ConstantPad3d (__main__.TestCppApiParity) ... ok (0.034s) 2022-11-23T02:16:23.7530151Z test_torch_nn_ConstantPad3d_complex (__main__.TestCppApiParity) ... ok (0.043s) 2022-11-23T02:16:23.7530529Z test_torch_nn_ConstantPad3d_complex_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7530878Z test_torch_nn_ConstantPad3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7531214Z test_torch_nn_ConstantPad3d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.022s) 2022-11-23T02:16:23.7531569Z test_torch_nn_ConstantPad3d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7531881Z test_torch_nn_Conv1d (__main__.TestCppApiParity) ... ok (0.014s) 2022-11-23T02:16:23.7532187Z test_torch_nn_Conv1d_circular_stride2_pad2 (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7532544Z test_torch_nn_Conv1d_circular_stride2_pad2_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7532897Z test_torch_nn_Conv1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7533202Z test_torch_nn_Conv1d_dilated (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7533528Z test_torch_nn_Conv1d_dilated_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7533846Z test_torch_nn_Conv1d_groups (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7534172Z test_torch_nn_Conv1d_groups_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7534477Z test_torch_nn_Conv1d_pad1 (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T02:16:23.7534794Z test_torch_nn_Conv1d_pad1_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7535115Z test_torch_nn_Conv1d_pad1size1 (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7535430Z test_torch_nn_Conv1d_pad1size1_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7535751Z test_torch_nn_Conv1d_pad2 (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T02:16:23.7536070Z test_torch_nn_Conv1d_pad2_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7536386Z test_torch_nn_Conv1d_pad2size1 (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7536705Z test_torch_nn_Conv1d_pad2size1_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7537029Z test_torch_nn_Conv1d_pad_same (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7537938Z test_torch_nn_Conv1d_pad_same2 (__main__.TestCppApiParity) ... /opt/conda/lib/python3.7/site-packages/torch/nn/modules/conv.py:310: UserWarning: Using padding='same' with even kernel lengths and odd dilation may require a zero-padded copy of the input be created (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/Convolution.cpp:996.) 2022-11-23T02:16:23.7538495Z self.padding, self.dilation, self.groups) 2022-11-23T02:16:23.7538686Z ok (0.013s) 2022-11-23T02:16:23.7539098Z test_torch_nn_Conv1d_pad_same2_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7539453Z test_torch_nn_Conv1d_pad_same_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7539784Z test_torch_nn_Conv1d_pad_same_dilated (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T02:16:23.7540183Z test_torch_nn_Conv1d_pad_same_dilated_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7540516Z test_torch_nn_Conv1d_pad_valid (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7540845Z test_torch_nn_Conv1d_pad_valid_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7541171Z test_torch_nn_Conv1d_reflect_stride2_pad2 (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7541518Z test_torch_nn_Conv1d_reflect_stride2_pad2_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7541940Z test_torch_nn_Conv1d_replicate_stride2_pad2 (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7542294Z test_torch_nn_Conv1d_replicate_stride2_pad2_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7542615Z test_torch_nn_Conv1d_stride (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7542938Z test_torch_nn_Conv1d_stride_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7543262Z test_torch_nn_Conv1d_zero_batch (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7543587Z test_torch_nn_Conv1d_zero_batch_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7543906Z test_torch_nn_Conv1d_zeros_stride2_pad2 (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7544249Z test_torch_nn_Conv1d_zeros_stride2_pad2_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7544569Z test_torch_nn_Conv2d (__main__.TestCppApiParity) ... ok (0.014s) 2022-11-23T02:16:23.7544863Z test_torch_nn_Conv2d_circular_stride2_pad2 (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7545213Z test_torch_nn_Conv2d_circular_stride2_pad2_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7545567Z test_torch_nn_Conv2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7545885Z test_torch_nn_Conv2d_depthwise (__main__.TestCppApiParity) ... ok (0.014s) 2022-11-23T02:16:23.7546201Z test_torch_nn_Conv2d_depthwise_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7546533Z test_torch_nn_Conv2d_depthwise_dilated (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T02:16:23.7546882Z test_torch_nn_Conv2d_depthwise_dilated_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7547213Z test_torch_nn_Conv2d_depthwise_padded (__main__.TestCppApiParity) ... ok (0.015s) 2022-11-23T02:16:23.7547561Z test_torch_nn_Conv2d_depthwise_padded_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7547900Z test_torch_nn_Conv2d_depthwise_strided (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7548245Z test_torch_nn_Conv2d_depthwise_strided_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7548582Z test_torch_nn_Conv2d_depthwise_with_multiplier (__main__.TestCppApiParity) ... ok (0.016s) 2022-11-23T02:16:23.7548945Z test_torch_nn_Conv2d_depthwise_with_multiplier_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7549356Z test_torch_nn_Conv2d_dilated (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7549680Z test_torch_nn_Conv2d_dilated_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7549987Z test_torch_nn_Conv2d_groups (__main__.TestCppApiParity) ... ok (0.014s) 2022-11-23T02:16:23.7550312Z test_torch_nn_Conv2d_groups_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7550636Z test_torch_nn_Conv2d_groups_thnn (__main__.TestCppApiParity) ... ok (0.015s) 2022-11-23T02:16:23.7550957Z test_torch_nn_Conv2d_groups_thnn_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7551315Z test_torch_nn_Conv2d_no_bias (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T02:16:23.7551639Z test_torch_nn_Conv2d_no_bias_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7551957Z test_torch_nn_Conv2d_pad_same (__main__.TestCppApiParity) ... ok (0.015s) 2022-11-23T02:16:23.7552270Z test_torch_nn_Conv2d_pad_same_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7552601Z test_torch_nn_Conv2d_pad_same_dilated (__main__.TestCppApiParity) ... ok (0.015s) 2022-11-23T02:16:23.7552948Z test_torch_nn_Conv2d_pad_same_dilated_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7553300Z test_torch_nn_Conv2d_pad_valid (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T02:16:23.7553628Z test_torch_nn_Conv2d_pad_valid_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7553950Z test_torch_nn_Conv2d_padding (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T02:16:23.7554278Z test_torch_nn_Conv2d_padding_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7554601Z test_torch_nn_Conv2d_reflect_stride2_pad2 (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7554951Z test_torch_nn_Conv2d_reflect_stride2_pad2_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7555295Z test_torch_nn_Conv2d_replicate_stride2_pad2 (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T02:16:23.7555649Z test_torch_nn_Conv2d_replicate_stride2_pad2_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7555971Z test_torch_nn_Conv2d_strided (__main__.TestCppApiParity) ... ok (0.014s) 2022-11-23T02:16:23.7556299Z test_torch_nn_Conv2d_strided_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7556621Z test_torch_nn_Conv2d_zero_batch (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7556937Z test_torch_nn_Conv2d_zero_batch_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7557269Z test_torch_nn_Conv2d_zeros_stride2_pad2 (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7557613Z test_torch_nn_Conv2d_zeros_stride2_pad2_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7557934Z test_torch_nn_Conv3d (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T02:16:23.7558215Z test_torch_nn_Conv3d_1x1x1_no_bias (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7558545Z test_torch_nn_Conv3d_1x1x1_no_bias_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7558889Z test_torch_nn_Conv3d_circular_stride2_pad2 (__main__.TestCppApiParity) ... ok (0.016s) 2022-11-23T02:16:23.7559228Z test_torch_nn_Conv3d_circular_stride2_pad2_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7559579Z test_torch_nn_Conv3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7559890Z test_torch_nn_Conv3d_dilated (__main__.TestCppApiParity) ... ok (0.015s) 2022-11-23T02:16:23.7560216Z test_torch_nn_Conv3d_dilated_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7560534Z test_torch_nn_Conv3d_dilated_strided (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T02:16:23.7560874Z test_torch_nn_Conv3d_dilated_strided_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7561201Z test_torch_nn_Conv3d_groups (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T02:16:23.7561528Z test_torch_nn_Conv3d_groups_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7561835Z test_torch_nn_Conv3d_no_bias (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7562160Z test_torch_nn_Conv3d_no_bias_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7562518Z test_torch_nn_Conv3d_pad_same (__main__.TestCppApiParity) ... ok (0.028s) 2022-11-23T02:16:23.7562837Z test_torch_nn_Conv3d_pad_same_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7563169Z test_torch_nn_Conv3d_pad_same_dilated (__main__.TestCppApiParity) ... ok (0.028s) 2022-11-23T02:16:23.7563510Z test_torch_nn_Conv3d_pad_same_dilated_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7563842Z test_torch_nn_Conv3d_pad_valid (__main__.TestCppApiParity) ... ok (0.018s) 2022-11-23T02:16:23.7564158Z test_torch_nn_Conv3d_pad_valid_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7564532Z test_torch_nn_Conv3d_replicate_stride2_pad2 (__main__.TestCppApiParity) ... ok (0.016s) 2022-11-23T02:16:23.7564890Z test_torch_nn_Conv3d_replicate_stride2_pad2_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7565213Z test_torch_nn_Conv3d_stride (__main__.TestCppApiParity) ... ok (0.014s) 2022-11-23T02:16:23.7565534Z test_torch_nn_Conv3d_stride_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7565861Z test_torch_nn_Conv3d_stride_padding (__main__.TestCppApiParity) ... ok (0.016s) 2022-11-23T02:16:23.7566201Z test_torch_nn_Conv3d_stride_padding_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7566520Z test_torch_nn_Conv3d_zero_batch (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7566850Z test_torch_nn_Conv3d_zero_batch_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7567184Z test_torch_nn_Conv3d_zeros_stride2_pad2 (__main__.TestCppApiParity) ... ok (0.015s) 2022-11-23T02:16:23.7567529Z test_torch_nn_Conv3d_zeros_stride2_pad2_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7567852Z test_torch_nn_ConvTranspose1d (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7568187Z test_torch_nn_ConvTranspose1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7568529Z test_torch_nn_ConvTranspose1d_dilated (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7568867Z test_torch_nn_ConvTranspose1d_dilated_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7569213Z test_torch_nn_ConvTranspose1d_groups (__main__.TestCppApiParity) ... ok (0.014s) 2022-11-23T02:16:23.7569559Z test_torch_nn_ConvTranspose1d_groups_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7569904Z test_torch_nn_ConvTranspose1d_no_bias (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7570236Z test_torch_nn_ConvTranspose1d_no_bias_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7570572Z test_torch_nn_ConvTranspose2d (__main__.TestCppApiParity) ... ok (0.023s) 2022-11-23T02:16:23.7570908Z test_torch_nn_ConvTranspose2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7571233Z test_torch_nn_ConvTranspose2d_dilated (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T02:16:23.7571580Z test_torch_nn_ConvTranspose2d_dilated_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7571923Z test_torch_nn_ConvTranspose2d_groups (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7572269Z test_torch_nn_ConvTranspose2d_groups_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7572600Z test_torch_nn_ConvTranspose2d_no_bias (__main__.TestCppApiParity) ... ok (0.022s) 2022-11-23T02:16:23.7572946Z test_torch_nn_ConvTranspose2d_no_bias_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7573282Z test_torch_nn_ConvTranspose3d (__main__.TestCppApiParity) ... ok (0.018s) 2022-11-23T02:16:23.7573643Z test_torch_nn_ConvTranspose3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7573972Z test_torch_nn_ConvTranspose3d_dilated (__main__.TestCppApiParity) ... ok (0.024s) 2022-11-23T02:16:23.7574320Z test_torch_nn_ConvTranspose3d_dilated_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7574665Z test_torch_nn_CosineEmbeddingLoss (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7575003Z test_torch_nn_CosineEmbeddingLoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7575357Z test_torch_nn_CosineEmbeddingLoss_margin (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7575753Z test_torch_nn_CosineEmbeddingLoss_margin_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7576122Z test_torch_nn_CosineEmbeddingLoss_no_batch_dim_mean (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7576497Z test_torch_nn_CosineEmbeddingLoss_no_batch_dim_mean_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7576876Z test_torch_nn_CosineEmbeddingLoss_no_batch_dim_none (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7577255Z test_torch_nn_CosineEmbeddingLoss_no_batch_dim_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7577633Z test_torch_nn_CosineEmbeddingLoss_no_batch_dim_sum (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7578000Z test_torch_nn_CosineEmbeddingLoss_no_batch_dim_sum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7578349Z test_torch_nn_CrossEntropyLoss (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7578668Z test_torch_nn_CrossEntropyLoss_2d (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7579164Z test_torch_nn_CrossEntropyLoss_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7579521Z test_torch_nn_CrossEntropyLoss_2d_ignore_index (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7579889Z test_torch_nn_CrossEntropyLoss_2d_ignore_index_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7580267Z test_torch_nn_CrossEntropyLoss_2d_indices_target_smoothing (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7580649Z test_torch_nn_CrossEntropyLoss_2d_indices_target_smoothing_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7581050Z test_torch_nn_CrossEntropyLoss_2d_indices_target_smoothing_ignore_index (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7581466Z test_torch_nn_CrossEntropyLoss_2d_indices_target_smoothing_ignore_index_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7581876Z test_torch_nn_CrossEntropyLoss_2d_indices_target_smoothing_sum_reduction (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7582282Z test_torch_nn_CrossEntropyLoss_2d_indices_target_smoothing_sum_reduction_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7582695Z test_torch_nn_CrossEntropyLoss_2d_indices_target_smoothing_weight (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7583104Z test_torch_nn_CrossEntropyLoss_2d_indices_target_smoothing_weight_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7583485Z test_torch_nn_CrossEntropyLoss_2d_prob_target (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7583838Z test_torch_nn_CrossEntropyLoss_2d_prob_target_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7584214Z test_torch_nn_CrossEntropyLoss_2d_prob_target_smoothing (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7584600Z test_torch_nn_CrossEntropyLoss_2d_prob_target_smoothing_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7585049Z test_torch_nn_CrossEntropyLoss_2d_prob_target_smoothing_sum_reduction (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7585451Z test_torch_nn_CrossEntropyLoss_2d_prob_target_smoothing_sum_reduction_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7585956Z test_torch_nn_CrossEntropyLoss_2d_prob_target_smoothing_weight (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7586354Z test_torch_nn_CrossEntropyLoss_2d_prob_target_smoothing_weight_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7586743Z test_torch_nn_CrossEntropyLoss_2d_prob_target_weights (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7587156Z test_torch_nn_CrossEntropyLoss_2d_prob_target_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7587522Z test_torch_nn_CrossEntropyLoss_2d_weights (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7587889Z test_torch_nn_CrossEntropyLoss_2d_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7588252Z test_torch_nn_CrossEntropyLoss_3d_indices_target_smoothing (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7588645Z test_torch_nn_CrossEntropyLoss_3d_indices_target_smoothing_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7589045Z test_torch_nn_CrossEntropyLoss_3d_indices_target_smoothing_ignore_index (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7589514Z test_torch_nn_CrossEntropyLoss_3d_indices_target_smoothing_ignore_index_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7589916Z test_torch_nn_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7590334Z test_torch_nn_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7590764Z test_torch_nn_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_ignore_index (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7591211Z test_torch_nn_CrossEntropyLoss_3d_indices_target_smoothing_sum_reduction_ignore_index_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7591595Z test_torch_nn_CrossEntropyLoss_3d_prob_target (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7591958Z test_torch_nn_CrossEntropyLoss_3d_prob_target_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7592333Z test_torch_nn_CrossEntropyLoss_3d_prob_target_smoothing (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7592719Z test_torch_nn_CrossEntropyLoss_3d_prob_target_smoothing_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7593104Z test_torch_nn_CrossEntropyLoss_3d_prob_target_smoothing_sum_reduction (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7593517Z test_torch_nn_CrossEntropyLoss_3d_prob_target_smoothing_sum_reduction_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7593911Z test_torch_nn_CrossEntropyLoss_3d_prob_target_weights (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7594290Z test_torch_nn_CrossEntropyLoss_3d_prob_target_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7594646Z test_torch_nn_CrossEntropyLoss_4d_prob_target (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7595006Z test_torch_nn_CrossEntropyLoss_4d_prob_target_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7595375Z test_torch_nn_CrossEntropyLoss_4d_prob_target_weights (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7595757Z test_torch_nn_CrossEntropyLoss_4d_prob_target_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7596157Z test_torch_nn_CrossEntropyLoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7596502Z test_torch_nn_CrossEntropyLoss_dim_is_3 (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7596851Z test_torch_nn_CrossEntropyLoss_dim_is_3_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7597199Z test_torch_nn_CrossEntropyLoss_higher_dim (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7597547Z test_torch_nn_CrossEntropyLoss_higher_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7597926Z test_torch_nn_CrossEntropyLoss_weights (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7598281Z test_torch_nn_CrossEntropyLoss_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7598607Z test_torch_nn_CrossMapLRN2d (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T02:16:23.7598940Z test_torch_nn_CrossMapLRN2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7599254Z test_torch_nn_ELU (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7599555Z test_torch_nn_ELU_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7599848Z test_torch_nn_ELU_scalar (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7600165Z test_torch_nn_ELU_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7600480Z test_torch_nn_Embedding (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7600785Z test_torch_nn_EmbeddingBag_discontiguous (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7601141Z test_torch_nn_EmbeddingBag_discontiguous_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7601482Z test_torch_nn_EmbeddingBag_max (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7601817Z test_torch_nn_EmbeddingBag_max_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7602150Z test_torch_nn_EmbeddingBag_max_padding_idx (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7602512Z test_torch_nn_EmbeddingBag_max_padding_idx_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7602853Z test_torch_nn_EmbeddingBag_mean (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7603177Z test_torch_nn_EmbeddingBag_mean_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7603520Z test_torch_nn_EmbeddingBag_mean_padding_idx (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7603882Z test_torch_nn_EmbeddingBag_mean_padding_idx_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7604226Z test_torch_nn_EmbeddingBag_sparse (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7604560Z test_torch_nn_EmbeddingBag_sparse_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7604894Z test_torch_nn_EmbeddingBag_sum (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7605226Z test_torch_nn_EmbeddingBag_sum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7605569Z test_torch_nn_EmbeddingBag_sum_padding_idx (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7605914Z test_torch_nn_EmbeddingBag_sum_padding_idx_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7606273Z test_torch_nn_Embedding_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7606607Z test_torch_nn_Embedding_discontiguous (__main__.TestCppApiParity) ... ok (0.014s) 2022-11-23T02:16:23.7606947Z test_torch_nn_Embedding_discontiguous_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7607313Z test_torch_nn_Embedding_sparse (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7607650Z test_torch_nn_Embedding_sparse_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7607968Z test_torch_nn_Flatten (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7608268Z test_torch_nn_Flatten_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7608585Z test_torch_nn_Flatten_no_batch_dim (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7608924Z test_torch_nn_Flatten_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7609259Z test_torch_nn_Fold (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7609560Z test_torch_nn_Fold_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7609870Z test_torch_nn_Fold_int_input (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7610195Z test_torch_nn_Fold_int_input_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7610514Z test_torch_nn_Fold_no_batch_dim_input (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7610854Z test_torch_nn_Fold_no_batch_dim_input_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7611194Z test_torch_nn_Fold_no_batch_dim_int_input (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7611542Z test_torch_nn_Fold_no_batch_dim_int_input_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7611877Z test_torch_nn_FractionalMaxPool2d_ratio (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7612239Z test_torch_nn_FractionalMaxPool2d_ratio_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7612606Z test_torch_nn_FractionalMaxPool2d_ratio_no_batch_dim (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7612979Z test_torch_nn_FractionalMaxPool2d_ratio_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7613379Z test_torch_nn_FractionalMaxPool2d_ratio_no_batch_dim_no_random_samples (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7613799Z test_torch_nn_FractionalMaxPool2d_ratio_no_batch_dim_no_random_samples_cuda (__main__.TestCppApiParity) ... skip: Excluded from CUDA tests (0.000s) 2022-11-23T02:16:23.7614189Z test_torch_nn_FractionalMaxPool2d_size (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7614537Z test_torch_nn_FractionalMaxPool2d_size_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7614908Z test_torch_nn_FractionalMaxPool2d_size_no_batch_dim (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7615288Z test_torch_nn_FractionalMaxPool2d_size_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7615686Z test_torch_nn_FractionalMaxPool2d_size_no_batch_dim_no_random_samples (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7616095Z test_torch_nn_FractionalMaxPool2d_size_no_batch_dim_no_random_samples_cuda (__main__.TestCppApiParity) ... skip: Excluded from CUDA tests (0.000s) 2022-11-23T02:16:23.7616485Z test_torch_nn_FractionalMaxPool3d_asymsize (__main__.TestCppApiParity) ... ok (0.020s) 2022-11-23T02:16:23.7616851Z test_torch_nn_FractionalMaxPool3d_asymsize_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7617210Z test_torch_nn_FractionalMaxPool3d_ratio (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7617558Z test_torch_nn_FractionalMaxPool3d_ratio_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7617931Z test_torch_nn_FractionalMaxPool3d_ratio_no_batch_dim (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7618316Z test_torch_nn_FractionalMaxPool3d_ratio_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7618876Z test_torch_nn_FractionalMaxPool3d_ratio_no_batch_dim_no_random_samples (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7619388Z test_torch_nn_FractionalMaxPool3d_ratio_no_batch_dim_no_random_samples_cuda (__main__.TestCppApiParity) ... skip: Excluded from CUDA tests (0.000s) 2022-11-23T02:16:23.7619775Z test_torch_nn_FractionalMaxPool3d_size (__main__.TestCppApiParity) ... ok (0.017s) 2022-11-23T02:16:23.7620134Z test_torch_nn_FractionalMaxPool3d_size_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7620489Z test_torch_nn_FractionalMaxPool3d_size_no_batch_dim (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T02:16:23.7620934Z test_torch_nn_FractionalMaxPool3d_size_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7621336Z test_torch_nn_FractionalMaxPool3d_size_no_batch_dim_no_random_samples (__main__.TestCppApiParity) ... ok (0.015s) 2022-11-23T02:16:23.7621758Z test_torch_nn_FractionalMaxPool3d_size_no_batch_dim_no_random_samples_cuda (__main__.TestCppApiParity) ... skip: Excluded from CUDA tests (0.000s) 2022-11-23T02:16:23.7622105Z test_torch_nn_GELU (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7622407Z test_torch_nn_GELU_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7622716Z test_torch_nn_GELU_scalar (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7623036Z test_torch_nn_GELU_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7623331Z test_torch_nn_GLU (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7623631Z test_torch_nn_GLU_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7623935Z test_torch_nn_GLU_dim (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7624231Z test_torch_nn_GLU_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7624553Z test_torch_nn_GroupNorm_1d_affine (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T02:16:23.7624865Z test_torch_nn_GroupNorm_1d_affine_GN (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7625206Z test_torch_nn_GroupNorm_1d_affine_GN_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7625557Z test_torch_nn_GroupNorm_1d_affine_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7625899Z test_torch_nn_GroupNorm_1d_affine_large_batch (__main__.TestCppApiParity) ... ok (0.025s) 2022-11-23T02:16:23.7626261Z test_torch_nn_GroupNorm_1d_affine_large_batch_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7626596Z test_torch_nn_GroupNorm_1d_no_affine_IN (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7626940Z test_torch_nn_GroupNorm_1d_no_affine_IN_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7627283Z test_torch_nn_GroupNorm_1d_no_affine_LN (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7627623Z test_torch_nn_GroupNorm_1d_no_affine_LN_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7627944Z test_torch_nn_GroupNorm_2d_affine (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T02:16:23.7628279Z test_torch_nn_GroupNorm_2d_affine_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7628626Z test_torch_nn_GroupNorm_2d_affine_large_feature (__main__.TestCppApiParity) ... ok (0.034s) 2022-11-23T02:16:23.7628986Z test_torch_nn_GroupNorm_2d_affine_large_feature_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7629396Z test_torch_nn_GroupNorm_2d_no_affine_IN (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7629738Z test_torch_nn_GroupNorm_2d_no_affine_IN_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7630120Z test_torch_nn_GroupNorm_2d_no_affine_LN (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7630455Z test_torch_nn_GroupNorm_2d_no_affine_LN_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7630808Z test_torch_nn_GroupNorm_2d_no_affine_large_feature (__main__.TestCppApiParity) ... ok (0.024s) 2022-11-23T02:16:23.7631177Z test_torch_nn_GroupNorm_2d_no_affine_large_feature_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7631513Z test_torch_nn_Hardshrink (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7631852Z test_torch_nn_Hardshrink_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7632175Z test_torch_nn_Hardshrink_scalar (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7632510Z test_torch_nn_Hardshrink_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7632834Z test_torch_nn_Hardtanh (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7633141Z test_torch_nn_Hardtanh_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7633458Z test_torch_nn_Hardtanh_scalar (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7633789Z test_torch_nn_Hardtanh_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7634112Z test_torch_nn_HingeEmbeddingLoss (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7634458Z test_torch_nn_HingeEmbeddingLoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7634809Z test_torch_nn_HingeEmbeddingLoss_margin (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7635169Z test_torch_nn_HingeEmbeddingLoss_margin_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7635539Z test_torch_nn_HingeEmbeddingLoss_no_batch_dim_mean (__main__.TestCppApiParity) ... expected failure (0.008s) 2022-11-23T02:16:23.7635929Z test_torch_nn_HingeEmbeddingLoss_no_batch_dim_mean_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7636324Z test_torch_nn_HingeEmbeddingLoss_no_batch_dim_none (__main__.TestCppApiParity) ... expected failure (0.009s) 2022-11-23T02:16:23.7636713Z test_torch_nn_HingeEmbeddingLoss_no_batch_dim_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7637090Z test_torch_nn_HingeEmbeddingLoss_no_batch_dim_sum (__main__.TestCppApiParity) ... expected failure (0.009s) 2022-11-23T02:16:23.7637484Z test_torch_nn_HingeEmbeddingLoss_no_batch_dim_sum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7637857Z test_torch_nn_HingeEmbeddingLoss_scalar_margin (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7638219Z test_torch_nn_HingeEmbeddingLoss_scalar_margin_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7638563Z test_torch_nn_HuberLoss (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7638878Z test_torch_nn_HuberLoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7639200Z test_torch_nn_InstanceNorm1d (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7639522Z test_torch_nn_InstanceNorm1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7639863Z test_torch_nn_InstanceNorm1d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7640219Z test_torch_nn_InstanceNorm1d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7640574Z test_torch_nn_InstanceNorm1d_tracking_stats (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7640925Z test_torch_nn_InstanceNorm1d_tracking_stats_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7641326Z test_torch_nn_InstanceNorm1d_tracking_stats_no_batch_dim (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7641712Z test_torch_nn_InstanceNorm1d_tracking_stats_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7642049Z test_torch_nn_InstanceNorm2d (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7642380Z test_torch_nn_InstanceNorm2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7642723Z test_torch_nn_InstanceNorm2d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7643076Z test_torch_nn_InstanceNorm2d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7643452Z test_torch_nn_InstanceNorm2d_tracking_stats (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T02:16:23.7643813Z test_torch_nn_InstanceNorm2d_tracking_stats_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7644187Z test_torch_nn_InstanceNorm2d_tracking_stats_no_batch_dim (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7644569Z test_torch_nn_InstanceNorm2d_tracking_stats_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7644906Z test_torch_nn_InstanceNorm3d (__main__.TestCppApiParity) ... ok (0.016s) 2022-11-23T02:16:23.7645235Z test_torch_nn_InstanceNorm3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7645576Z test_torch_nn_InstanceNorm3d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7645917Z test_torch_nn_InstanceNorm3d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7646268Z test_torch_nn_InstanceNorm3d_tracking_stats (__main__.TestCppApiParity) ... ok (0.017s) 2022-11-23T02:16:23.7646626Z test_torch_nn_InstanceNorm3d_tracking_stats_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7647000Z test_torch_nn_InstanceNorm3d_tracking_stats_no_batch_dim (__main__.TestCppApiParity) ... ok (0.017s) 2022-11-23T02:16:23.7647369Z test_torch_nn_InstanceNorm3d_tracking_stats_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7648351Z test_torch_nn_KLDivLoss (__main__.TestCppApiParity) ... /opt/conda/lib/python3.7/site-packages/torch/nn/functional.py:2921: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. 2022-11-23T02:16:23.7649029Z "reduction: 'mean' divides the total loss by both the batch size and the support size." 2022-11-23T02:16:23.7649983Z /var/lib/jenkins/workspace/test/cpp_api_parity/module_impl_check.py:149: UserWarning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/api/include/torch/nn/functional/loss.h:57.) 2022-11-23T02:16:23.7650661Z cpp_test_fn(arg_dict_file_path, module_file_path, forward_output_file_path, backward_grad_dict_file_path) 2022-11-23T02:16:23.7650924Z ok (0.009s) 2022-11-23T02:16:23.7651173Z test_torch_nn_KLDivLoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7651507Z test_torch_nn_KLDivLoss_log_target (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7651852Z test_torch_nn_KLDivLoss_log_target_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7652176Z test_torch_nn_KLDivLoss_scalar (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7652546Z test_torch_nn_KLDivLoss_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7652897Z test_torch_nn_KLDivLoss_scalar_log_target (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7653258Z test_torch_nn_KLDivLoss_scalar_log_target_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7653575Z test_torch_nn_L1Loss (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7653886Z test_torch_nn_L1Loss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7654199Z test_torch_nn_L1Loss_scalar (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7654541Z test_torch_nn_L1Loss_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7654857Z test_torch_nn_LPPool1d (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7655174Z test_torch_nn_LPPool1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7655501Z test_torch_nn_LPPool1d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7655829Z test_torch_nn_LPPool1d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7656155Z test_torch_nn_LPPool1d_norm (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7656478Z test_torch_nn_LPPool1d_norm_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7656788Z test_torch_nn_LPPool2d (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7657104Z test_torch_nn_LPPool2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7657421Z test_torch_nn_LPPool2d_norm (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7657745Z test_torch_nn_LPPool2d_norm_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7658074Z test_torch_nn_LayerNorm_1d_elementwise_affine (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T02:16:23.7658439Z test_torch_nn_LayerNorm_1d_elementwise_affine_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7658948Z test_torch_nn_LayerNorm_1d_empty_elementwise_affine (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7659325Z test_torch_nn_LayerNorm_1d_empty_elementwise_affine_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7659682Z test_torch_nn_LayerNorm_1d_no_elementwise_affine (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7660049Z test_torch_nn_LayerNorm_1d_no_elementwise_affine_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7660415Z test_torch_nn_LayerNorm_3d_elementwise_affine (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T02:16:23.7660763Z test_torch_nn_LayerNorm_3d_elementwise_affine_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7661129Z test_torch_nn_LayerNorm_3d_no_affine_large_feature (__main__.TestCppApiParity) ... ok (0.069s) 2022-11-23T02:16:23.7661499Z test_torch_nn_LayerNorm_3d_no_affine_large_feature_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7661862Z test_torch_nn_LayerNorm_3d_no_elementwise_affine (__main__.TestCppApiParity) ... ok (0.014s) 2022-11-23T02:16:23.7662219Z test_torch_nn_LayerNorm_3d_no_elementwise_affine_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7662562Z test_torch_nn_LeakyReLU (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7662877Z test_torch_nn_LeakyReLU_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7663206Z test_torch_nn_LeakyReLU_with_negval (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7663536Z test_torch_nn_LeakyReLU_with_negval_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7663930Z test_torch_nn_LeakyReLU_with_negval_scalar (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7664291Z test_torch_nn_LeakyReLU_with_negval_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7664627Z test_torch_nn_LeakyReLU_with_zero_negval (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7664980Z test_torch_nn_LeakyReLU_with_zero_negval_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7665304Z test_torch_nn_Linear (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T02:16:23.7665613Z test_torch_nn_Linear_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7665958Z test_torch_nn_Linear_no_batch_dim (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7666295Z test_torch_nn_Linear_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7666619Z test_torch_nn_Linear_no_bias (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7666933Z test_torch_nn_Linear_no_bias_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7667268Z test_torch_nn_LocalResponseNorm_1d (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7667615Z test_torch_nn_LocalResponseNorm_1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7667973Z test_torch_nn_LocalResponseNorm_2d_uneven_pad (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T02:16:23.7668331Z test_torch_nn_LocalResponseNorm_2d_uneven_pad_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7668699Z test_torch_nn_LocalResponseNorm_3d_custom_params (__main__.TestCppApiParity) ... ok (0.037s) 2022-11-23T02:16:23.7669074Z test_torch_nn_LocalResponseNorm_3d_custom_params_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7669503Z test_torch_nn_LogSigmoid (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7669816Z test_torch_nn_LogSigmoid_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7670144Z test_torch_nn_LogSigmoid_scalar (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7670481Z test_torch_nn_LogSigmoid_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7670790Z test_torch_nn_LogSoftmax (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7671111Z test_torch_nn_LogSoftmax_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7671439Z test_torch_nn_LogSoftmax_multiparam (__main__.TestCppApiParity) ... ok (0.016s) 2022-11-23T02:16:23.7671789Z test_torch_nn_LogSoftmax_multiparam_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7672125Z test_torch_nn_LogSoftmax_multiparam_scalar (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7672484Z test_torch_nn_LogSoftmax_multiparam_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7672836Z test_torch_nn_LogSoftmax_no_batch_dim (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7673181Z test_torch_nn_LogSoftmax_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7673492Z test_torch_nn_MSELoss (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7673801Z test_torch_nn_MSELoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7674114Z test_torch_nn_MSELoss_prec (__main__.TestCppApiParity) ... ok (0.039s) 2022-11-23T02:16:23.7674422Z test_torch_nn_MSELoss_prec_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7674744Z test_torch_nn_MSELoss_scalar (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7675070Z test_torch_nn_MSELoss_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7675435Z test_torch_nn_MarginRankingLoss (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7675766Z test_torch_nn_MarginRankingLoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7676113Z test_torch_nn_MarginRankingLoss_margin (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7676468Z test_torch_nn_MarginRankingLoss_margin_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7676816Z test_torch_nn_MarginRankingLoss_no_batch_dim_mean (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7677190Z test_torch_nn_MarginRankingLoss_no_batch_dim_mean_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7677589Z test_torch_nn_MarginRankingLoss_no_batch_dim_none (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7677962Z test_torch_nn_MarginRankingLoss_no_batch_dim_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7678318Z test_torch_nn_MarginRankingLoss_no_batch_dim_sum (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7678690Z test_torch_nn_MarginRankingLoss_no_batch_dim_sum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7679028Z test_torch_nn_MaxPool1d (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7679342Z test_torch_nn_MaxPool1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7679652Z test_torch_nn_MaxPool1d_stride (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7679982Z test_torch_nn_MaxPool1d_stride_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7680315Z test_torch_nn_MaxPool2d_3d_input (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7680636Z test_torch_nn_MaxPool2d_3d_input_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7680969Z test_torch_nn_MaxPool2d_4d_input (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7681300Z test_torch_nn_MaxPool2d_4d_input_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7681619Z test_torch_nn_MaxPool3d (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7681922Z test_torch_nn_MaxPool3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7682242Z test_torch_nn_MaxPool3d_stride (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7682574Z test_torch_nn_MaxPool3d_stride_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7682904Z test_torch_nn_MaxPool3d_stride_padding (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7683253Z test_torch_nn_MaxPool3d_stride_padding_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7683574Z test_torch_nn_Mish (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7683880Z test_torch_nn_Mish_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7684178Z test_torch_nn_Mish_scalar (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7684496Z test_torch_nn_Mish_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7684832Z test_torch_nn_MultiLabelMarginLoss (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7685147Z test_torch_nn_MultiLabelMarginLoss_1d (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7685505Z test_torch_nn_MultiLabelMarginLoss_1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7685886Z test_torch_nn_MultiLabelMarginLoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7686253Z test_torch_nn_MultiLabelMarginLoss_no_batch_dim_mean (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7686664Z test_torch_nn_MultiLabelMarginLoss_no_batch_dim_mean_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7687047Z test_torch_nn_MultiLabelMarginLoss_no_batch_dim_none (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7687432Z test_torch_nn_MultiLabelMarginLoss_no_batch_dim_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7687810Z test_torch_nn_MultiLabelMarginLoss_no_batch_dim_sum (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7688179Z test_torch_nn_MultiLabelMarginLoss_no_batch_dim_sum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7688551Z test_torch_nn_MultiLabelSoftMarginLoss (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7688948Z test_torch_nn_MultiLabelSoftMarginLoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7689332Z test_torch_nn_MultiLabelSoftMarginLoss_no_batch_dim_mean (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7689724Z test_torch_nn_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7690125Z test_torch_nn_MultiLabelSoftMarginLoss_no_batch_dim_none (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7690523Z test_torch_nn_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7690916Z test_torch_nn_MultiLabelSoftMarginLoss_no_batch_dim_sum (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7691299Z test_torch_nn_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7691691Z test_torch_nn_MultiLabelSoftMarginLoss_weights (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7692077Z test_torch_nn_MultiLabelSoftMarginLoss_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7692422Z test_torch_nn_MultiMarginLoss (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7693036Z test_torch_nn_MultiMarginLoss_1d (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7693375Z test_torch_nn_MultiMarginLoss_1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7693738Z test_torch_nn_MultiMarginLoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7694068Z test_torch_nn_MultiMarginLoss_margin (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7694417Z test_torch_nn_MultiMarginLoss_margin_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7694757Z test_torch_nn_MultiMarginLoss_p (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7695085Z test_torch_nn_MultiMarginLoss_p_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7695426Z test_torch_nn_MultiMarginLoss_weights (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7695778Z test_torch_nn_MultiMarginLoss_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7696102Z test_torch_nn_NLLLoss (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7696375Z test_torch_nn_NLLLoss_2d (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7696687Z test_torch_nn_NLLLoss_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7697013Z test_torch_nn_NLLLoss_2d_ignore_index (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7697355Z test_torch_nn_NLLLoss_2d_ignore_index_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7697761Z test_torch_nn_NLLLoss_2d_weights (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7698098Z test_torch_nn_NLLLoss_2d_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7698481Z test_torch_nn_NLLLoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7698864Z test_torch_nn_NLLLoss_dim_is_3 (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7699193Z test_torch_nn_NLLLoss_dim_is_3_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7699521Z test_torch_nn_NLLLoss_higher_dim (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7699858Z test_torch_nn_NLLLoss_higher_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7700181Z test_torch_nn_NLLLoss_ignore_index (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7700583Z test_torch_nn_NLLLoss_ignore_index_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7700940Z test_torch_nn_NLLLoss_no_batch_dim_mean (__main__.TestCppApiParity) ... expected failure (0.013s) 2022-11-23T02:16:23.7701287Z test_torch_nn_NLLLoss_no_batch_dim_mean_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7701646Z test_torch_nn_NLLLoss_no_batch_dim_none (__main__.TestCppApiParity) ... expected failure (0.010s) 2022-11-23T02:16:23.7702006Z test_torch_nn_NLLLoss_no_batch_dim_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7702360Z test_torch_nn_NLLLoss_no_batch_dim_sum (__main__.TestCppApiParity) ... expected failure (0.010s) 2022-11-23T02:16:23.7702707Z test_torch_nn_NLLLoss_no_batch_dim_sum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7703040Z test_torch_nn_NLLLoss_weights (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7703373Z test_torch_nn_NLLLoss_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7703712Z test_torch_nn_NLLLoss_weights_ignore_index (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7704054Z test_torch_nn_NLLLoss_weights_ignore_index_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7704405Z test_torch_nn_NLLLoss_weights_ignore_index_neg (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7704767Z test_torch_nn_NLLLoss_weights_ignore_index_neg_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7705087Z test_torch_nn_PReLU_1d (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7705401Z test_torch_nn_PReLU_1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7705725Z test_torch_nn_PReLU_1d_multiparam (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7706063Z test_torch_nn_PReLU_1d_multiparam_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7706375Z test_torch_nn_PReLU_2d (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7706688Z test_torch_nn_PReLU_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7707011Z test_torch_nn_PReLU_2d_multiparam (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7707353Z test_torch_nn_PReLU_2d_multiparam_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7707661Z test_torch_nn_PReLU_3d (__main__.TestCppApiParity) ... ok (0.021s) 2022-11-23T02:16:23.7707969Z test_torch_nn_PReLU_3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7708287Z test_torch_nn_PReLU_3d_multiparam (__main__.TestCppApiParity) ... ok (0.022s) 2022-11-23T02:16:23.7708612Z test_torch_nn_PReLU_3d_multiparam_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7708941Z test_torch_nn_PReLU_scalar (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7709347Z test_torch_nn_PReLU_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7709677Z test_torch_nn_PairwiseDistance (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7710037Z test_torch_nn_PairwiseDistance_broadcast_lhs (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7710410Z test_torch_nn_PairwiseDistance_broadcast_lhs_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7710772Z test_torch_nn_PairwiseDistance_broadcast_rhs (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7711234Z test_torch_nn_PairwiseDistance_broadcast_rhs_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7711612Z test_torch_nn_PairwiseDistance_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7711994Z test_torch_nn_PairwiseDistance_no_batch_dim (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7712359Z test_torch_nn_PairwiseDistance_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7712721Z test_torch_nn_PairwiseDistance_with_non_default_args (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7713101Z test_torch_nn_PairwiseDistance_with_non_default_args_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7713454Z test_torch_nn_PixelShuffle (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7713854Z test_torch_nn_PixelShuffle_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7714320Z test_torch_nn_PixelUnshuffle (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7714709Z test_torch_nn_PixelUnshuffle_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7715117Z test_torch_nn_PoissonNLLLoss_full_loss (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7715491Z test_torch_nn_PoissonNLLLoss_full_loss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7715940Z test_torch_nn_PoissonNLLLoss_full_loss_no_log_input (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7716400Z test_torch_nn_PoissonNLLLoss_full_loss_no_log_input_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7716788Z test_torch_nn_PoissonNLLLoss_no_full_loss (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7717203Z test_torch_nn_PoissonNLLLoss_no_full_loss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7717650Z test_torch_nn_PoissonNLLLoss_no_full_loss_no_log_input (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7718107Z test_torch_nn_PoissonNLLLoss_no_full_loss_no_log_input_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7718470Z test_torch_nn_RReLU (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7718844Z test_torch_nn_RReLU_cuda (__main__.TestCppApiParity) ... skip: Excluded from CUDA tests (0.000s) 2022-11-23T02:16:23.7719231Z test_torch_nn_RReLU_with_up_down (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7733353Z test_torch_nn_RReLU_with_up_down_cuda (__main__.TestCppApiParity) ... skip: Excluded from CUDA tests (0.000s) 2022-11-23T02:16:23.7733823Z test_torch_nn_RReLU_with_up_down_scalar (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7734177Z test_torch_nn_RReLU_with_up_down_scalar_cuda (__main__.TestCppApiParity) ... skip: Excluded from CUDA tests (0.000s) 2022-11-23T02:16:23.7734512Z test_torch_nn_ReLU (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7734793Z test_torch_nn_ReLU6 (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7735102Z test_torch_nn_ReLU6_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7735413Z test_torch_nn_ReLU6_scalar (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7735737Z test_torch_nn_ReLU6_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7736078Z test_torch_nn_ReLU_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7736465Z test_torch_nn_ReLU_scalar (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7736791Z test_torch_nn_ReLU_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7737116Z test_torch_nn_ReflectionPad1d (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7737429Z test_torch_nn_ReflectionPad1d_batch (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7737769Z test_torch_nn_ReflectionPad1d_batch_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7738122Z test_torch_nn_ReflectionPad1d_complex (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7738516Z test_torch_nn_ReflectionPad1d_complex_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7738981Z test_torch_nn_ReflectionPad1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7739313Z test_torch_nn_ReflectionPad2d (__main__.TestCppApiParity) ... ok (0.023s) 2022-11-23T02:16:23.7739628Z test_torch_nn_ReflectionPad2d_complex (__main__.TestCppApiParity) ... ok (0.034s) 2022-11-23T02:16:23.7739982Z test_torch_nn_ReflectionPad2d_complex_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7740339Z test_torch_nn_ReflectionPad2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7740685Z test_torch_nn_ReflectionPad2d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.015s) 2022-11-23T02:16:23.7741044Z test_torch_nn_ReflectionPad2d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7741389Z test_torch_nn_ReflectionPad3d (__main__.TestCppApiParity) ... ok (0.043s) 2022-11-23T02:16:23.7741693Z test_torch_nn_ReflectionPad3d_complex (__main__.TestCppApiParity) ... ok (0.068s) 2022-11-23T02:16:23.7742049Z test_torch_nn_ReflectionPad3d_complex_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7742415Z test_torch_nn_ReflectionPad3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7742745Z test_torch_nn_ReflectionPad3d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.027s) 2022-11-23T02:16:23.7743103Z test_torch_nn_ReflectionPad3d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7743446Z test_torch_nn_ReplicationPad1d (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7743763Z test_torch_nn_ReplicationPad1d_batch (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7744105Z test_torch_nn_ReplicationPad1d_batch_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7744455Z test_torch_nn_ReplicationPad1d_complex (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7744815Z test_torch_nn_ReplicationPad1d_complex_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7745187Z test_torch_nn_ReplicationPad1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7745510Z test_torch_nn_ReplicationPad2d (__main__.TestCppApiParity) ... ok (0.015s) 2022-11-23T02:16:23.7745831Z test_torch_nn_ReplicationPad2d_complex (__main__.TestCppApiParity) ... ok (0.020s) 2022-11-23T02:16:23.7746189Z test_torch_nn_ReplicationPad2d_complex_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7746549Z test_torch_nn_ReplicationPad2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7746897Z test_torch_nn_ReplicationPad2d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7747264Z test_torch_nn_ReplicationPad2d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7747611Z test_torch_nn_ReplicationPad3d (__main__.TestCppApiParity) ... ok (0.025s) 2022-11-23T02:16:23.7747978Z test_torch_nn_ReplicationPad3d_complex (__main__.TestCppApiParity) ... ok (0.037s) 2022-11-23T02:16:23.7748338Z test_torch_nn_ReplicationPad3d_complex_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7748708Z test_torch_nn_ReplicationPad3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7749042Z test_torch_nn_ReplicationPad3d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.018s) 2022-11-23T02:16:23.7749495Z test_torch_nn_ReplicationPad3d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7749822Z test_torch_nn_SELU (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7750184Z test_torch_nn_SELU_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7750480Z test_torch_nn_SELU_scalar (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7750801Z test_torch_nn_SELU_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7751135Z test_torch_nn_SampleModule_has_parity (__main__.TestCppApiParity) ... ok (0.014s) 2022-11-23T02:16:23.7751485Z test_torch_nn_SampleModule_has_parity_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7751831Z test_torch_nn_SampleModule_no_parity (__main__.TestCppApiParity) ... expected failure (0.012s) 2022-11-23T02:16:23.7752190Z test_torch_nn_SampleModule_no_parity_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7752507Z test_torch_nn_SiLU (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7752801Z test_torch_nn_SiLU_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7753108Z test_torch_nn_SiLU_scalar (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7753428Z test_torch_nn_SiLU_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7753746Z test_torch_nn_Sigmoid (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7754044Z test_torch_nn_Sigmoid_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7754363Z test_torch_nn_Sigmoid_scalar (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7754691Z test_torch_nn_Sigmoid_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7754998Z test_torch_nn_SmoothL1Loss (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7755323Z test_torch_nn_SmoothL1Loss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7755650Z test_torch_nn_SmoothL1Loss_scalar (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7755987Z test_torch_nn_SmoothL1Loss_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7756305Z test_torch_nn_SoftMarginLoss (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7756638Z test_torch_nn_SoftMarginLoss_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7756999Z test_torch_nn_SoftMarginLoss_no_batch_dim_mean (__main__.TestCppApiParity) ... expected failure (0.009s) 2022-11-23T02:16:23.7757365Z test_torch_nn_SoftMarginLoss_no_batch_dim_mean_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7757742Z test_torch_nn_SoftMarginLoss_no_batch_dim_none (__main__.TestCppApiParity) ... expected failure (0.009s) 2022-11-23T02:16:23.7758120Z test_torch_nn_SoftMarginLoss_no_batch_dim_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7758495Z test_torch_nn_SoftMarginLoss_no_batch_dim_sum (__main__.TestCppApiParity) ... expected failure (0.009s) 2022-11-23T02:16:23.7758856Z test_torch_nn_SoftMarginLoss_no_batch_dim_sum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7759185Z test_torch_nn_Softmax (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7759505Z test_torch_nn_Softmax2d (__main__.TestCppApiParity) ... ok (0.016s) 2022-11-23T02:16:23.7759824Z test_torch_nn_Softmax2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7760137Z test_torch_nn_Softmax2d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7760479Z test_torch_nn_Softmax2d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7760828Z test_torch_nn_Softmax_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7761135Z test_torch_nn_Softmax_no_batch_dim (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7761498Z test_torch_nn_Softmax_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7761822Z test_torch_nn_Softmax_scalar (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7762150Z test_torch_nn_Softmax_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7762451Z test_torch_nn_Softmin (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7762760Z test_torch_nn_Softmin_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7763076Z test_torch_nn_Softmin_multidim (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T02:16:23.7763393Z test_torch_nn_Softmin_multidim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7763723Z test_torch_nn_Softmin_no_batch_dim (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7764058Z test_torch_nn_Softmin_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7764383Z test_torch_nn_Softmin_scalar (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7764696Z test_torch_nn_Softmin_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7765013Z test_torch_nn_Softplus (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7765305Z test_torch_nn_Softplus_beta (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7765629Z test_torch_nn_Softplus_beta_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7765951Z test_torch_nn_Softplus_beta_threshold (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7766296Z test_torch_nn_Softplus_beta_threshold_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7766646Z test_torch_nn_Softplus_beta_threshold_scalar (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7766998Z test_torch_nn_Softplus_beta_threshold_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7767357Z test_torch_nn_Softplus_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7767671Z test_torch_nn_Softshrink (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7767989Z test_torch_nn_Softshrink_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7768299Z test_torch_nn_Softshrink_lambda (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7768631Z test_torch_nn_Softshrink_lambda_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7768966Z test_torch_nn_Softshrink_lambda_scalar (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7769300Z test_torch_nn_Softshrink_lambda_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7769628Z test_torch_nn_Softsign (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7769942Z test_torch_nn_Softsign_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7770257Z test_torch_nn_Softsign_scalar (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7770600Z test_torch_nn_Softsign_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7770914Z test_torch_nn_Tanh (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7771215Z test_torch_nn_Tanh_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7771510Z test_torch_nn_Tanh_scalar (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7771824Z test_torch_nn_Tanh_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7772140Z test_torch_nn_Tanhshrink (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7772457Z test_torch_nn_Tanhshrink_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7772798Z test_torch_nn_Tanhshrink_scalar (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7773130Z test_torch_nn_Tanhshrink_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7773467Z test_torch_nn_Threshold_large_value (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7773809Z test_torch_nn_Threshold_large_value_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7774135Z test_torch_nn_Threshold_threshold_value (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7774486Z test_torch_nn_Threshold_threshold_value_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7774839Z test_torch_nn_Threshold_threshold_value_scalar (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7775188Z test_torch_nn_Threshold_threshold_value_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7775569Z test_torch_nn_TransformerDecoderLayer_gelu_activation (__main__.TestCppApiParity) ... ok (0.062s) 2022-11-23T02:16:23.7775973Z test_torch_nn_TransformerDecoderLayer_gelu_activation_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7776369Z test_torch_nn_TransformerDecoderLayer_relu_activation (__main__.TestCppApiParity) ... ok (0.061s) 2022-11-23T02:16:23.7776756Z test_torch_nn_TransformerDecoderLayer_relu_activation_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7777151Z test_torch_nn_TransformerEncoderLayer_gelu_activation (__main__.TestCppApiParity) ... ok (0.044s) 2022-11-23T02:16:23.7777545Z test_torch_nn_TransformerEncoderLayer_gelu_activation_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7777939Z test_torch_nn_TransformerEncoderLayer_relu_activation (__main__.TestCppApiParity) ... ok (0.044s) 2022-11-23T02:16:23.7778324Z test_torch_nn_TransformerEncoderLayer_relu_activation_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7778696Z test_torch_nn_Transformer_multilayer_coder (__main__.TestCppApiParity) ... ok (0.187s) 2022-11-23T02:16:23.7779288Z test_torch_nn_Transformer_multilayer_coder_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7779652Z test_torch_nn_TripletMarginLoss_no_batch_dim_mean (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7780021Z test_torch_nn_TripletMarginLoss_no_batch_dim_mean_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7780391Z test_torch_nn_TripletMarginLoss_no_batch_dim_none (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7780765Z test_torch_nn_TripletMarginLoss_no_batch_dim_none_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7781120Z test_torch_nn_TripletMarginLoss_no_batch_dim_sum (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7781494Z test_torch_nn_TripletMarginLoss_no_batch_dim_sum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7781846Z test_torch_nn_Unflatten_no_batch_dim (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7782244Z test_torch_nn_Unflatten_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7782556Z test_torch_nn_Unfold (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7782864Z test_torch_nn_Unfold_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7783180Z test_torch_nn_Unfold_int_input (__main__.TestCppApiParity) ... ok (0.011s) 2022-11-23T02:16:23.7783508Z test_torch_nn_Unfold_int_input_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7783818Z test_torch_nn_ZeroPad2d (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7784157Z test_torch_nn_ZeroPad2d_complex (__main__.TestCppApiParity) ... ok (0.014s) 2022-11-23T02:16:23.7784496Z test_torch_nn_ZeroPad2d_complex_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7784837Z test_torch_nn_ZeroPad2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7785170Z test_torch_nn_ZeroPad2d_negative_dims (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7785521Z test_torch_nn_ZeroPad2d_negative_dims_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7785864Z test_torch_nn_ZeroPad2d_no_batch_dim (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7786195Z test_torch_nn_ZeroPad2d_no_batch_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7786544Z test_torch_nn_functional_BCELoss_no_reduce (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7786898Z test_torch_nn_functional_BCELoss_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7787247Z test_torch_nn_functional_BCELoss_no_reduce_scalar (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T02:16:23.7787614Z test_torch_nn_functional_BCELoss_no_reduce_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7787985Z test_torch_nn_functional_BCELoss_weights_no_reduce (__main__.TestCppApiParity) ... ok (0.006s) 2022-11-23T02:16:23.7788356Z test_torch_nn_functional_BCELoss_weights_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7788721Z test_torch_nn_functional_BCELoss_weights_no_reduce_scalar (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T02:16:23.7789105Z test_torch_nn_functional_BCELoss_weights_no_reduce_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7789987Z test_torch_nn_functional_BCEWithLogitsLoss_legacy_enum (__main__.TestCppApiParity) ... /opt/conda/lib/python3.7/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. 2022-11-23T02:16:23.7790441Z warnings.warn(warning.format(ret)) 2022-11-23T02:16:23.7790623Z ok (0.006s) 2022-11-23T02:16:23.7790920Z test_torch_nn_functional_BCEWithLogitsLoss_legacy_enum_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7791304Z test_torch_nn_functional_BCEWithLogitsLoss_no_reduce (__main__.TestCppApiParity) ... ok (0.006s) 2022-11-23T02:16:23.7791690Z test_torch_nn_functional_BCEWithLogitsLoss_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7792066Z test_torch_nn_functional_BCEWithLogitsLoss_no_reduce_scalar (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T02:16:23.7792460Z test_torch_nn_functional_BCEWithLogitsLoss_no_reduce_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7792860Z test_torch_nn_functional_HingeEmbeddingLoss_margin_no_reduce (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7793265Z test_torch_nn_functional_HingeEmbeddingLoss_margin_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7793681Z test_torch_nn_functional_HingeEmbeddingLoss_no_reduce (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7794074Z test_torch_nn_functional_HingeEmbeddingLoss_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7794442Z test_torch_nn_functional_HuberLoss_delta (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7794785Z test_torch_nn_functional_HuberLoss_delta_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7795138Z test_torch_nn_functional_KLDivLoss_no_reduce (__main__.TestCppApiParity) ... ok (0.006s) 2022-11-23T02:16:23.7795499Z test_torch_nn_functional_KLDivLoss_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7795894Z test_torch_nn_functional_KLDivLoss_no_reduce_log_target (__main__.TestCppApiParity) ... ok (0.006s) 2022-11-23T02:16:23.7796263Z test_torch_nn_functional_KLDivLoss_no_reduce_log_target_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7796639Z test_torch_nn_functional_KLDivLoss_no_reduce_scalar (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T02:16:23.7797015Z test_torch_nn_functional_KLDivLoss_no_reduce_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7797404Z test_torch_nn_functional_KLDivLoss_no_reduce_scalar_log_target (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T02:16:23.7797791Z test_torch_nn_functional_KLDivLoss_no_reduce_scalar_log_target_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7798181Z test_torch_nn_functional_KLDivLoss_with_log_target_no_reduce (__main__.TestCppApiParity) ... ok (0.006s) 2022-11-23T02:16:23.7798573Z test_torch_nn_functional_KLDivLoss_with_log_target_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7798955Z test_torch_nn_functional_KLDivLoss_with_target_no_reduce (__main__.TestCppApiParity) ... ok (0.006s) 2022-11-23T02:16:23.7799326Z test_torch_nn_functional_KLDivLoss_with_target_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7799689Z test_torch_nn_functional_L1Loss_no_reduce (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7800021Z test_torch_nn_functional_L1Loss_no_reduce_complex (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7800376Z test_torch_nn_functional_L1Loss_no_reduce_complex_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7800760Z test_torch_nn_functional_L1Loss_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7801116Z test_torch_nn_functional_L1Loss_no_reduce_scalar (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T02:16:23.7801477Z test_torch_nn_functional_L1Loss_no_reduce_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7801826Z test_torch_nn_functional_MSELoss_no_reduce (__main__.TestCppApiParity) ... ok (0.006s) 2022-11-23T02:16:23.7802179Z test_torch_nn_functional_MSELoss_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7802535Z test_torch_nn_functional_MSELoss_no_reduce_scalar (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T02:16:23.7802904Z test_torch_nn_functional_MSELoss_no_reduce_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7803274Z test_torch_nn_functional_MultiLabelMarginLoss_0d_no_reduce (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T02:16:23.7803672Z test_torch_nn_functional_MultiLabelMarginLoss_0d_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7804072Z test_torch_nn_functional_MultiLabelMarginLoss_1d_no_reduce (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T02:16:23.7804506Z test_torch_nn_functional_MultiLabelMarginLoss_1d_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7804890Z test_torch_nn_functional_MultiLabelMarginLoss_index_neg (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7805283Z test_torch_nn_functional_MultiLabelMarginLoss_index_neg_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7805672Z test_torch_nn_functional_MultiLabelMarginLoss_no_reduce (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7806064Z test_torch_nn_functional_MultiLabelMarginLoss_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7806449Z test_torch_nn_functional_MultiLabelSoftMarginLoss_no_reduce (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7806882Z test_torch_nn_functional_MultiLabelSoftMarginLoss_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7807299Z test_torch_nn_functional_MultiLabelSoftMarginLoss_weights_no_reduce (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7807727Z test_torch_nn_functional_MultiLabelSoftMarginLoss_weights_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7808113Z test_torch_nn_functional_MultiMarginLoss_1d_no_reduce (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7808494Z test_torch_nn_functional_MultiMarginLoss_1d_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7808877Z test_torch_nn_functional_MultiMarginLoss_margin_no_reduce (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7809254Z test_torch_nn_functional_MultiMarginLoss_margin_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7809636Z test_torch_nn_functional_MultiMarginLoss_no_reduce (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7810010Z test_torch_nn_functional_MultiMarginLoss_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7810386Z test_torch_nn_functional_MultiMarginLoss_p_no_reduce (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7810752Z test_torch_nn_functional_MultiMarginLoss_p_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7811136Z test_torch_nn_functional_MultiMarginLoss_weights_no_reduce (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7811531Z test_torch_nn_functional_MultiMarginLoss_weights_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7811899Z test_torch_nn_functional_NLLLoss2d_no_reduce (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7812247Z test_torch_nn_functional_NLLLoss2d_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7812611Z test_torch_nn_functional_NLLLoss2d_no_reduce_ignore_index (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7812996Z test_torch_nn_functional_NLLLoss2d_no_reduce_ignore_index_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7813374Z test_torch_nn_functional_NLLLoss2d_no_reduce_weights (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7813740Z test_torch_nn_functional_NLLLoss2d_no_reduce_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7814104Z test_torch_nn_functional_NLLLossNd_no_reduce (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7814464Z test_torch_nn_functional_NLLLossNd_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7814833Z test_torch_nn_functional_NLLLossNd_no_reduce_ignore_index (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7815204Z test_torch_nn_functional_NLLLossNd_no_reduce_ignore_index_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7815605Z test_torch_nn_functional_NLLLossNd_no_reduce_weights (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7815982Z test_torch_nn_functional_NLLLossNd_no_reduce_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7816330Z test_torch_nn_functional_NLLLoss_no_reduce (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7816682Z test_torch_nn_functional_NLLLoss_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7817044Z test_torch_nn_functional_NLLLoss_no_reduce_ignore_index (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7817426Z test_torch_nn_functional_NLLLoss_no_reduce_ignore_index_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7817814Z test_torch_nn_functional_NLLLoss_no_reduce_weights (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7818187Z test_torch_nn_functional_NLLLoss_no_reduce_weights_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7818571Z test_torch_nn_functional_NLLLoss_no_reduce_weights_ignore_index (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7819094Z test_torch_nn_functional_NLLLoss_no_reduce_weights_ignore_index_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7819478Z test_torch_nn_functional_NLLLoss_no_reduce_weights_ignore_index_neg (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7819884Z test_torch_nn_functional_NLLLoss_no_reduce_weights_ignore_index_neg_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7820269Z test_torch_nn_functional_Padding122112_3dcircular (__main__.TestCppApiParity) ... ok (0.007s) 2022-11-23T02:16:23.7820638Z test_torch_nn_functional_Padding122112_3dcircular_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7820989Z test_torch_nn_functional_Padding1221_2dcircular (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7821358Z test_torch_nn_functional_Padding1221_2dcircular_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7821721Z test_torch_nn_functional_Padding12_1dcircular (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7822084Z test_torch_nn_functional_Padding12_1dcircular_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7822429Z test_torch_nn_functional_Padding2322_2dcircular (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7822793Z test_torch_nn_functional_Padding2322_2dcircular_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7823157Z test_torch_nn_functional_Padding31_1dcircular (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7823506Z test_torch_nn_functional_Padding31_1dcircular_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7823871Z test_torch_nn_functional_Padding322112_3dcircular (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7824237Z test_torch_nn_functional_Padding322112_3dcircular_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7824602Z test_torch_nn_functional_Padding332122_3dcircular (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7824951Z test_torch_nn_functional_Padding332122_3dcircular_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7825311Z test_torch_nn_functional_Padding3331_2dcircular (__main__.TestCppApiParity) ... ok (0.006s) 2022-11-23T02:16:23.7825672Z test_torch_nn_functional_Padding3331_2dcircular_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7826033Z test_torch_nn_functional_Padding33_1dcircular (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7826383Z test_torch_nn_functional_Padding33_1dcircular_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7826786Z test_torch_nn_functional_PoissonNLLLoss_no_reduce (__main__.TestCppApiParity) ... ok (0.006s) 2022-11-23T02:16:23.7827161Z test_torch_nn_functional_PoissonNLLLoss_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7827509Z test_torch_nn_functional_SmoothL1Loss_beta (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7827861Z test_torch_nn_functional_SmoothL1Loss_beta_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7828216Z test_torch_nn_functional_SmoothL1Loss_no_reduce (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7828627Z test_torch_nn_functional_SmoothL1Loss_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7828986Z test_torch_nn_functional_SmoothL1Loss_no_reduce_scalar (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T02:16:23.7829429Z test_torch_nn_functional_SmoothL1Loss_no_reduce_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7829795Z test_torch_nn_functional_SmoothL1Loss_zero_beta (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7830157Z test_torch_nn_functional_SmoothL1Loss_zero_beta_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7830508Z test_torch_nn_functional_SoftMarginLoss_no_reduce (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7830880Z test_torch_nn_functional_SoftMarginLoss_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7831245Z test_torch_nn_functional_interpolate_bicubic_2d (__main__.TestCppApiParity) ... ok (0.007s) 2022-11-23T02:16:23.7831609Z test_torch_nn_functional_interpolate_bicubic_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7831966Z test_torch_nn_functional_interpolate_bicubic_2d_zero_dim (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T02:16:23.7832349Z test_torch_nn_functional_interpolate_bicubic_2d_zero_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7832728Z test_torch_nn_functional_interpolate_bicubic_scale_2d (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7833102Z test_torch_nn_functional_interpolate_bicubic_scale_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7833479Z test_torch_nn_functional_interpolate_bicubic_scale_tuple_shared_2d (__main__.TestCppApiParity) ... ok (0.006s) 2022-11-23T02:16:23.7833883Z test_torch_nn_functional_interpolate_bicubic_scale_tuple_shared_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7834286Z test_torch_nn_functional_interpolate_bicubic_scale_tuple_skewed_2d (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7834666Z test_torch_nn_functional_interpolate_bicubic_scale_tuple_skewed_2d_align_corners (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7835094Z test_torch_nn_functional_interpolate_bicubic_scale_tuple_skewed_2d_align_corners_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7835533Z test_torch_nn_functional_interpolate_bicubic_scale_tuple_skewed_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7835920Z test_torch_nn_functional_interpolate_bicubic_tuple_2d (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7836271Z test_torch_nn_functional_interpolate_bicubic_tuple_2d_align_corners (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7836675Z test_torch_nn_functional_interpolate_bicubic_tuple_2d_align_corners_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7837088Z test_torch_nn_functional_interpolate_bicubic_tuple_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7837486Z test_torch_nn_functional_interpolate_bilinear_2d (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7837842Z test_torch_nn_functional_interpolate_bilinear_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7838215Z test_torch_nn_functional_interpolate_bilinear_2d_zero_dim (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T02:16:23.7838601Z test_torch_nn_functional_interpolate_bilinear_2d_zero_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7838977Z test_torch_nn_functional_interpolate_bilinear_scale_2d (__main__.TestCppApiParity) ... ok (0.010s) 2022-11-23T02:16:23.7839368Z test_torch_nn_functional_interpolate_bilinear_scale_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7839757Z test_torch_nn_functional_interpolate_bilinear_scale_tuple_shared_2d (__main__.TestCppApiParity) ... ok (0.006s) 2022-11-23T02:16:23.7840164Z test_torch_nn_functional_interpolate_bilinear_scale_tuple_shared_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7840563Z test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7840943Z test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d_align_corners (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7841371Z test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d_align_corners_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7841578Z test_torch_nn_functional_interpolate_bilinear_scale_tuple_skewed_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7841750Z test_torch_nn_functional_interpolate_bilinear_tuple_2d (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7841932Z test_torch_nn_functional_interpolate_bilinear_tuple_2d_align_corners (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7842143Z test_torch_nn_functional_interpolate_bilinear_tuple_2d_align_corners_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7842335Z test_torch_nn_functional_interpolate_bilinear_tuple_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7842494Z test_torch_nn_functional_interpolate_linear_1d (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7842655Z test_torch_nn_functional_interpolate_linear_1d_align_corners (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7842857Z test_torch_nn_functional_interpolate_linear_1d_align_corners_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7843042Z test_torch_nn_functional_interpolate_linear_1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7843209Z test_torch_nn_functional_interpolate_linear_1d_zero_dim (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T02:16:23.7843404Z test_torch_nn_functional_interpolate_linear_1d_zero_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7843568Z test_torch_nn_functional_interpolate_linear_scale_1d (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7843748Z test_torch_nn_functional_interpolate_linear_scale_1d_align_corners (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7843952Z test_torch_nn_functional_interpolate_linear_scale_1d_align_corners_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7844144Z test_torch_nn_functional_interpolate_linear_scale_1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7844300Z test_torch_nn_functional_interpolate_linear_tuple_1d (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7844491Z test_torch_nn_functional_interpolate_linear_tuple_1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7844675Z test_torch_nn_functional_interpolate_nearest_1d (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7844863Z test_torch_nn_functional_interpolate_nearest_1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7845032Z test_torch_nn_functional_interpolate_nearest_1d_zero_dim (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T02:16:23.7845226Z test_torch_nn_functional_interpolate_nearest_1d_zero_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7845385Z test_torch_nn_functional_interpolate_nearest_2d (__main__.TestCppApiParity) ... ok (0.007s) 2022-11-23T02:16:23.7845593Z test_torch_nn_functional_interpolate_nearest_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7845770Z test_torch_nn_functional_interpolate_nearest_2d_launch_configs (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7845963Z test_torch_nn_functional_interpolate_nearest_2d_launch_configs_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7846130Z test_torch_nn_functional_interpolate_nearest_2d_zero_dim (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T02:16:23.7846325Z test_torch_nn_functional_interpolate_nearest_2d_zero_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7846482Z test_torch_nn_functional_interpolate_nearest_3d (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7846664Z test_torch_nn_functional_interpolate_nearest_3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7846833Z test_torch_nn_functional_interpolate_nearest_3d_zero_dim (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T02:16:23.7847026Z test_torch_nn_functional_interpolate_nearest_3d_zero_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7847193Z test_torch_nn_functional_interpolate_nearest_scale_1d (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7847384Z test_torch_nn_functional_interpolate_nearest_scale_1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7847548Z test_torch_nn_functional_interpolate_nearest_scale_2d (__main__.TestCppApiParity) ... ok (0.009s) 2022-11-23T02:16:23.7847728Z test_torch_nn_functional_interpolate_nearest_scale_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7847893Z test_torch_nn_functional_interpolate_nearest_scale_3d (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7848084Z test_torch_nn_functional_interpolate_nearest_scale_3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7848251Z test_torch_nn_functional_interpolate_nearest_tuple_1d (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7848440Z test_torch_nn_functional_interpolate_nearest_tuple_1d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7848605Z test_torch_nn_functional_interpolate_nearest_tuple_2d (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7848796Z test_torch_nn_functional_interpolate_nearest_tuple_2d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7848965Z test_torch_nn_functional_interpolate_nearest_tuple_3d (__main__.TestCppApiParity) ... ok (0.013s) 2022-11-23T02:16:23.7849154Z test_torch_nn_functional_interpolate_nearest_tuple_3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7849303Z test_torch_nn_functional_interpolate_trilinear_3d (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7849494Z test_torch_nn_functional_interpolate_trilinear_3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7849663Z test_torch_nn_functional_interpolate_trilinear_3d_zero_dim (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T02:16:23.7849886Z test_torch_nn_functional_interpolate_trilinear_3d_zero_dim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7850055Z test_torch_nn_functional_interpolate_trilinear_scale_3d (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7850237Z test_torch_nn_functional_interpolate_trilinear_scale_3d_align_corners (__main__.TestCppApiParity) ... ok (0.012s) 2022-11-23T02:16:23.7850446Z test_torch_nn_functional_interpolate_trilinear_scale_3d_align_corners_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7850642Z test_torch_nn_functional_interpolate_trilinear_scale_3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7850832Z test_torch_nn_functional_interpolate_trilinear_tuple_3d (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7851013Z test_torch_nn_functional_interpolate_trilinear_tuple_3d_align_corners (__main__.TestCppApiParity) ... ok (0.008s) 2022-11-23T02:16:23.7851210Z test_torch_nn_functional_interpolate_trilinear_tuple_3d_align_corners_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7851403Z test_torch_nn_functional_interpolate_trilinear_tuple_3d_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7851557Z test_torch_nn_functional_log_softmax_dim0 (__main__.TestCppApiParity) ... ok (0.006s) 2022-11-23T02:16:23.7851737Z test_torch_nn_functional_log_softmax_dim0_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7851889Z test_torch_nn_functional_log_softmax_dim3 (__main__.TestCppApiParity) ... ok (0.006s) 2022-11-23T02:16:23.7852074Z test_torch_nn_functional_log_softmax_dim3_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7852229Z test_torch_nn_functional_log_softmax_lastdim (__main__.TestCppApiParity) ... ok (0.007s) 2022-11-23T02:16:23.7852412Z test_torch_nn_functional_log_softmax_lastdim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7852565Z test_torch_nn_functional_log_softmax_scalar (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T02:16:23.7852732Z test_torch_nn_functional_log_softmax_scalar_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7852889Z test_torch_nn_functional_log_softmax_spatial (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7853070Z test_torch_nn_functional_log_softmax_spatial_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7853233Z test_torch_nn_functional_log_softmax_spatial_special (__main__.TestCppApiParity) ... ok (0.006s) 2022-11-23T02:16:23.7853427Z test_torch_nn_functional_log_softmax_spatial_special_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7853610Z test_torch_nn_functional_multimarginloss_1d_input_0d_target_no_reduce (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T02:16:23.7853821Z test_torch_nn_functional_multimarginloss_1d_input_0d_target_no_reduce_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7853990Z test_torch_nn_functional_sample_functional_has_parity (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7854183Z test_torch_nn_functional_sample_functional_has_parity_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7854355Z test_torch_nn_functional_sample_functional_no_parity (__main__.TestCppApiParity) ... expected failure (0.005s) 2022-11-23T02:16:23.7854546Z test_torch_nn_functional_sample_functional_no_parity_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7854709Z test_torch_nn_functional_softmax_functional_dim0 (__main__.TestCppApiParity) ... ok (0.006s) 2022-11-23T02:16:23.7854903Z test_torch_nn_functional_softmax_functional_dim0_cuda (__main__.TestCppApiParity) ... skip: Excluded from CUDA tests (0.000s) 2022-11-23T02:16:23.7855082Z test_torch_nn_functional_softmax_functional_dim3 (__main__.TestCppApiParity) ... ok (0.006s) 2022-11-23T02:16:23.7855278Z test_torch_nn_functional_softmax_functional_dim3_cuda (__main__.TestCppApiParity) ... skip: Excluded from CUDA tests (0.000s) 2022-11-23T02:16:23.7855439Z test_torch_nn_functional_softmax_functional_scalar (__main__.TestCppApiParity) ... ok (0.004s) 2022-11-23T02:16:23.7855636Z test_torch_nn_functional_softmax_functional_scalar_cuda (__main__.TestCppApiParity) ... skip: Excluded from CUDA tests (0.000s) 2022-11-23T02:16:23.7855788Z test_torch_nn_functional_softmax_lastdim (__main__.TestCppApiParity) ... ok (0.007s) 2022-11-23T02:16:23.7855984Z test_torch_nn_functional_softmax_lastdim_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7856143Z test_torch_nn_functional_softmax_lastdim_dtype (__main__.TestCppApiParity) ... ok (0.007s) 2022-11-23T02:16:23.7856336Z test_torch_nn_functional_softmax_lastdim_dtype_cuda (__main__.TestCppApiParity) ... skip: Excluded from CUDA tests (0.000s) 2022-11-23T02:16:23.7856487Z test_torch_nn_functional_softmax_spatial (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7856668Z test_torch_nn_functional_softmax_spatial_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7856826Z test_torch_nn_functional_softmax_spatial_dtype (__main__.TestCppApiParity) ... ok (0.005s) 2022-11-23T02:16:23.7857018Z test_torch_nn_functional_softmax_spatial_dtype_cuda (__main__.TestCppApiParity) ... skip: Excluded from CUDA tests (0.000s) 2022-11-23T02:16:23.7857178Z test_torch_nn_functional_softmax_spatial_special (__main__.TestCppApiParity) ... ok (0.006s) 2022-11-23T02:16:23.7857370Z test_torch_nn_functional_softmax_spatial_special_cuda (__main__.TestCppApiParity) ... skip: CUDA unavailable (0.000s) 2022-11-23T02:16:23.7857378Z 2022-11-23T02:16:23.7857615Z ---------------------------------------------------------------------- 2022-11-23T02:16:23.7857685Z Ran 1100 tests in 6.314s 2022-11-23T02:16:23.7857690Z 2022-11-23T02:16:23.7857788Z OK (skipped=550, expected failures=17) 2022-11-23T02:16:23.7857793Z 2022-11-23T02:16:23.7857876Z Generating XML reports... 2022-11-23T02:16:23.7858191Z Generated XML report: test-reports/python-unittest/test_cpp_api_parity/TEST-TestCppApiParity-20221123021616.xml 2022-11-23T02:16:23.7858196Z 2022-11-23T02:16:23.7858542Z ##[endgroup] 2022-11-23T02:16:23.7858964Z FINISHED PRINTING LOG FILE of test_cpp_api_parity (/var/lib/jenkins/workspace/test/test-reports/test_cpp_api_parity_1bn1i5fl) 2022-11-23T02:16:23.7858970Z 2022-11-23T02:16:23.7859139Z Running test_overrides ... [2022-11-23 02:16:23.748076] 2022-11-23T02:16:23.7859455Z Executing ['/opt/conda/bin/python', '-bb', 'test_overrides.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:16:23.748466] 2022-11-23T02:16:26.9812048Z 2022-11-23T02:16:26.9817446Z Expand the folded group to see the log file of test_overrides 2022-11-23T02:16:26.9818539Z ##[group]PRINTING LOG FILE of test_overrides (/var/lib/jenkins/workspace/test/test-reports/test_overrides_zjj05w2p) 2022-11-23T02:16:26.9819586Z Test results will be stored in test-reports/python-unittest/test_overrides 2022-11-23T02:16:26.9819799Z 2022-11-23T02:16:26.9834090Z Running tests... 2022-11-23T02:16:26.9834852Z ---------------------------------------------------------------------- 2022-11-23T02:16:26.9835331Z test_broadcast_all (__main__.TestBroadcastAllOverride) ... ok (0.271s) 2022-11-23T02:16:26.9835904Z test_parameter_does_not_prevent_dispatch (__main__.TestDisabledTorchFunction) ... ok (0.002s) 2022-11-23T02:16:26.9836452Z test_wrapper (__main__.TestEinsumOverride) ... ok (0.003s) 2022-11-23T02:16:26.9836914Z test_gradcheck (__main__.TestGradCheckOverride) ... ok (0.016s) 2022-11-23T02:16:26.9837349Z test_newones (__main__.TestGradNewOnesOverride) ... ok (0.001s) 2022-11-23T02:16:26.9837765Z test_getitem (__main__.TestIndexing) ... ok (0.001s) 2022-11-23T02:16:26.9838441Z test_getitem_subclass (__main__.TestIndexing) ... ok (0.001s) 2022-11-23T02:16:26.9838864Z test_setitem (__main__.TestIndexing) ... ok (0.001s) 2022-11-23T02:16:26.9839289Z test_setitem_subclass (__main__.TestIndexing) ... ok (0.001s) 2022-11-23T02:16:26.9839724Z test_setitem_val (__main__.TestIndexing) ... ok (0.001s) 2022-11-23T02:16:26.9840133Z test_iterator (__main__.TestIterator) ... ok (0.001s) 2022-11-23T02:16:26.9840545Z test_max (__main__.TestNamedTuple) ... ok (0.001s) 2022-11-23T02:16:26.9840955Z test_pickle (__main__.TestPickle) ... ok (0.001s) 2022-11-23T02:16:26.9841322Z test_rnn (__main__.TestRNN) ... ok (0.003s) 2022-11-23T02:16:26.9841814Z test_resolve_name (__main__.TestResolveName) ... ok (0.090s) 2022-11-23T02:16:26.9842254Z test_all_same_mode (__main__.TestTorchFunctionMode) ... ok (0.001s) 2022-11-23T02:16:26.9842740Z test_basic (__main__.TestTorchFunctionMode) ... ok (0.001s) 2022-11-23T02:16:26.9843207Z test_disable_enable_subclass (__main__.TestTorchFunctionMode) ... ok (0.001s) 2022-11-23T02:16:26.9843767Z test_disable_subclass_not_mode (__main__.TestTorchFunctionMode) ... ok (0.001s) 2022-11-23T02:16:26.9844292Z test_distributions_bernoulli (__main__.TestTorchFunctionMode) ... ok (0.001s) 2022-11-23T02:16:26.9844801Z test_error_using_class_method_on_mode (__main__.TestTorchFunctionMode) ... ok (0.002s) 2022-11-23T02:16:26.9845327Z test_factory_override (__main__.TestTorchFunctionMode) ... ok (0.001s) 2022-11-23T02:16:26.9845833Z test_get_cur_mode (__main__.TestTorchFunctionMode) ... ok (0.001s) 2022-11-23T02:16:26.9846304Z test_get_mode_stack (__main__.TestTorchFunctionMode) ... ok (0.001s) 2022-11-23T02:16:26.9846764Z test_mode_notimplemented_loop (__main__.TestTorchFunctionMode) ... ok (0.001s) 2022-11-23T02:16:26.9847232Z test_modes_handle_first (__main__.TestTorchFunctionMode) ... ok (0.001s) 2022-11-23T02:16:26.9847683Z test_modes_return_notimplemented (__main__.TestTorchFunctionMode) ... ok (0.001s) 2022-11-23T02:16:26.9848219Z test_nested_modes_with_python_has_torch_function (__main__.TestTorchFunctionMode) ... ok (0.002s) 2022-11-23T02:16:26.9848750Z test_nested_same_mode (__main__.TestTorchFunctionMode) ... ok (0.001s) 2022-11-23T02:16:26.9849225Z test_nn_parse_to (__main__.TestTorchFunctionMode) ... ok (0.001s) 2022-11-23T02:16:26.9849756Z test_reentrant_mode_idiom (__main__.TestTorchFunctionMode) ... ok (0.001s) 2022-11-23T02:16:26.9850301Z test_restacking_with_ancestor (__main__.TestTorchFunctionMode) ... ok (0.001s) 2022-11-23T02:16:26.9850844Z test_subclass_hash (__main__.TestTorchFunctionMode) ... ok (0.001s) 2022-11-23T02:16:26.9851357Z test_with_mode (__main__.TestTorchFunctionMode) ... ok (0.001s) 2022-11-23T02:16:26.9851900Z test_with_mode_created_separately (__main__.TestTorchFunctionMode) ... ok (0.001s) 2022-11-23T02:16:26.9852438Z test_with_nested_modes (__main__.TestTorchFunctionMode) ... ok (0.001s) 2022-11-23T02:16:26.9852989Z test_Tensor___add__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9853517Z test_Tensor___and__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9853949Z test_Tensor___array__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9854458Z test_Tensor___array_wrap__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9854983Z test_Tensor___bool__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9855479Z test_Tensor___complex__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9855982Z test_Tensor___contains__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9856535Z test_Tensor___cuda_array_interface_____get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9857099Z test_Tensor___deepcopy__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9857578Z test_Tensor___div__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9858171Z test_Tensor___dlpack__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9858681Z test_Tensor___dlpack_device__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9859423Z test_Tensor___eq__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9859908Z test_Tensor___float__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9860380Z test_Tensor___floordiv__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9860810Z test_Tensor___format__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9861202Z test_Tensor___ge__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9861749Z test_Tensor___getitem__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9862161Z test_Tensor___gt__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9862556Z test_Tensor___iadd__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9862974Z test_Tensor___iand__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9863389Z test_Tensor___idiv__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9863807Z test_Tensor___ifloordiv__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9864219Z test_Tensor___ilshift__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9864635Z test_Tensor___imod__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9865050Z test_Tensor___imul__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9865450Z test_Tensor___index__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9865859Z test_Tensor___int__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9866265Z test_Tensor___invert__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9866678Z test_Tensor___ior__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9867080Z test_Tensor___irshift__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9867491Z test_Tensor___isub__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9867899Z test_Tensor___ixor__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9868279Z test_Tensor___le__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9868684Z test_Tensor___len__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9869085Z test_Tensor___long__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9869602Z test_Tensor___lshift__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9869996Z test_Tensor___lt__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9870401Z test_Tensor___matmul__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9870815Z test_Tensor___mod__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9871200Z test_Tensor___mul__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9871604Z test_Tensor___ne__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9872013Z test_Tensor___nonzero__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9872428Z test_Tensor___or__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9872819Z test_Tensor___radd__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9873226Z test_Tensor___rand__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9873631Z test_Tensor___rdiv__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9874037Z test_Tensor___reduce_ex__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9874458Z test_Tensor___repr__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9874990Z test_Tensor___reversed__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9875425Z test_Tensor___rfloordiv__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9875874Z test_Tensor___rlshift__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9876315Z test_Tensor___rmatmul__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9876766Z test_Tensor___rmod__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9877180Z test_Tensor___rmul__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9878402Z test_Tensor___ror__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9878838Z test_Tensor___rpow__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9879281Z test_Tensor___rrshift__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9879717Z test_Tensor___rshift__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9880155Z test_Tensor___rsub__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9880587Z test_Tensor___rxor__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9881002Z test_Tensor___setitem__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9881437Z test_Tensor___setstate__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9881851Z test_Tensor___sub__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9882272Z test_Tensor___truediv__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9882684Z test_Tensor___xor__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9883154Z test_Tensor__autocast_to_full_precision (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9883645Z test_Tensor__autocast_to_reduced_precision (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9884089Z test_Tensor__coalesced_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9884512Z test_Tensor__dimI (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9884921Z test_Tensor__dimV (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9885339Z test_Tensor__indices (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9885737Z test_Tensor__is_view (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9886178Z test_Tensor__nested_tensor_size (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9886641Z test_Tensor__nnz (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9887050Z test_Tensor__storage (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9887484Z test_Tensor__to_dense (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9887939Z test_Tensor__update_names (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9888390Z test_Tensor__values (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9888844Z test_Tensor_abs (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9889330Z test_Tensor_abs_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9889836Z test_Tensor_absolute (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9890271Z test_Tensor_absolute_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9890684Z test_Tensor_acos (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9891113Z test_Tensor_acos_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9891536Z test_Tensor_acosh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9891949Z test_Tensor_acosh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9892441Z test_Tensor_add (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9892887Z test_Tensor_add_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9893307Z test_Tensor_addbmm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9893724Z test_Tensor_addbmm_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9894135Z test_Tensor_addcdiv (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9894545Z test_Tensor_addcdiv_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9894967Z test_Tensor_addcmul (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9895439Z test_Tensor_addcmul_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9895878Z test_Tensor_addmm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9896307Z test_Tensor_addmm_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9896756Z test_Tensor_addmv (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9897196Z test_Tensor_addmv_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9897620Z test_Tensor_addr (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9898037Z test_Tensor_addr_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9898500Z test_Tensor_adjoint (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9900803Z test_Tensor_align_as (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9901119Z test_Tensor_align_to (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9901431Z test_Tensor_all (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9901735Z test_Tensor_allclose (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9902029Z test_Tensor_amax (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9902333Z test_Tensor_amin (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9902638Z test_Tensor_aminmax (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9902931Z test_Tensor_angle (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9903231Z test_Tensor_any (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9903537Z test_Tensor_apply_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9903842Z test_Tensor_arccos (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9904135Z test_Tensor_arccos_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9904442Z test_Tensor_arccosh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9904746Z test_Tensor_arccosh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9905039Z test_Tensor_arcsin (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9905340Z test_Tensor_arcsin_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9905642Z test_Tensor_arcsinh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9905942Z test_Tensor_arcsinh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9906232Z test_Tensor_arctan (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9906531Z test_Tensor_arctan2 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9906831Z test_Tensor_arctan2_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9907121Z test_Tensor_arctan_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9907429Z test_Tensor_arctanh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9907729Z test_Tensor_arctanh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9908035Z test_Tensor_argmax (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9908430Z test_Tensor_argmin (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9908735Z test_Tensor_argsort (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9909041Z test_Tensor_argwhere (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9909431Z test_Tensor_as_strided (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9909747Z test_Tensor_as_strided_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9910071Z test_Tensor_as_strided_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9910394Z test_Tensor_asin (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9910737Z test_Tensor_asin_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9911041Z test_Tensor_asinh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9911343Z test_Tensor_asinh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9911634Z test_Tensor_atan (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9911932Z test_Tensor_atan2 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9912234Z test_Tensor_atan2_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9912521Z test_Tensor_atan_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9912821Z test_Tensor_atanh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9913120Z test_Tensor_atanh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9913427Z test_Tensor_backward (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9913725Z test_Tensor_baddbmm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9914031Z test_Tensor_baddbmm_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9914338Z test_Tensor_bernoulli (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9914641Z test_Tensor_bernoulli_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9914947Z test_Tensor_bfloat16 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9915251Z test_Tensor_bincount (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9915559Z test_Tensor_bitwise_and (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9915862Z test_Tensor_bitwise_and_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9916182Z test_Tensor_bitwise_left_shift (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9916516Z test_Tensor_bitwise_left_shift_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9916825Z test_Tensor_bitwise_not (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9917138Z test_Tensor_bitwise_not_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9917452Z test_Tensor_bitwise_or (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9917762Z test_Tensor_bitwise_or_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9918073Z test_Tensor_bitwise_right_shift (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9918406Z test_Tensor_bitwise_right_shift_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9918731Z test_Tensor_bitwise_xor (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9919032Z test_Tensor_bitwise_xor_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9919336Z test_Tensor_bmm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9919634Z test_Tensor_bool (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9919941Z test_Tensor_broadcast_to (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9920273Z test_Tensor_byte (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9920578Z test_Tensor_cauchy_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9920888Z test_Tensor_ccol_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9921190Z test_Tensor_cdouble (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9921490Z test_Tensor_ceil (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9921788Z test_Tensor_ceil_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9922091Z test_Tensor_cfloat (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9922420Z test_Tensor_chalf (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9922723Z test_Tensor_char (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9923025Z test_Tensor_cholesky (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9923334Z test_Tensor_cholesky_inverse (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9923659Z test_Tensor_cholesky_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9923969Z test_Tensor_chunk (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9924260Z test_Tensor_clamp (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9924563Z test_Tensor_clamp_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9924872Z test_Tensor_clamp_max (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9925186Z test_Tensor_clamp_max_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9925489Z test_Tensor_clamp_min (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9925800Z test_Tensor_clamp_min_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9926104Z test_Tensor_clip (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9926392Z test_Tensor_clip_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9926692Z test_Tensor_clone (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9927001Z test_Tensor_coalesce (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9927312Z test_Tensor_col_indices (__main__.TestTorchFunctionOverride) ... ok (0.003s) 2022-11-23T02:16:26.9927603Z test_Tensor_conj (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9927914Z test_Tensor_conj_physical (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9928237Z test_Tensor_conj_physical_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9928549Z test_Tensor_contiguous (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9928856Z test_Tensor_copy_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9929222Z test_Tensor_copysign (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9929786Z test_Tensor_copysign_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9930196Z test_Tensor_corrcoef (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9930501Z test_Tensor_cos (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9930797Z test_Tensor_cos_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9931084Z test_Tensor_cosh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9931383Z test_Tensor_cosh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9931693Z test_Tensor_count_nonzero (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9932001Z test_Tensor_cov (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9932285Z test_Tensor_cpu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9932583Z test_Tensor_cross (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9932938Z test_Tensor_crow_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9933236Z test_Tensor_cuda (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9933538Z test_Tensor_cummax (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9933845Z test_Tensor_cummin (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9934141Z test_Tensor_cumprod (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9934448Z test_Tensor_cumprod_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9934751Z test_Tensor_cumsum (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9935099Z test_Tensor_cumsum_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9935392Z test_Tensor_data_ptr (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9935696Z test_Tensor_deg2rad (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9936003Z test_Tensor_deg2rad_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9936298Z test_Tensor_dense_dim (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9936609Z test_Tensor_dequantize (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9936917Z test_Tensor_det (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9937230Z test_Tensor_detach (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9937520Z test_Tensor_detach_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9937823Z test_Tensor_diag (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9938129Z test_Tensor_diag_embed (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9938430Z test_Tensor_diagflat (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9938882Z test_Tensor_diagonal (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9939244Z test_Tensor_diagonal_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9939559Z test_Tensor_diff (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9939850Z test_Tensor_digamma (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9940153Z test_Tensor_digamma_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9940454Z test_Tensor_dim (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9940741Z test_Tensor_dist (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9941043Z test_Tensor_div (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9941341Z test_Tensor_div_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9941643Z test_Tensor_divide (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9941937Z test_Tensor_divide_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9942237Z test_Tensor_dot (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9942540Z test_Tensor_double (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9942833Z test_Tensor_dsplit (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9943142Z test_Tensor_element_size (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9943444Z test_Tensor_eq (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9943728Z test_Tensor_eq_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9944028Z test_Tensor_equal (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9944331Z test_Tensor_erf (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9944627Z test_Tensor_erf_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9944978Z test_Tensor_erfc (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9945282Z test_Tensor_erfc_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9945582Z test_Tensor_erfinv (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9945873Z test_Tensor_erfinv_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9946169Z test_Tensor_exp (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9946466Z test_Tensor_exp2 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9946766Z test_Tensor_exp2_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9947096Z test_Tensor_exp_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9947395Z test_Tensor_expand (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9947704Z test_Tensor_expand_as (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9948000Z test_Tensor_expm1 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9948303Z test_Tensor_expm1_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9948613Z test_Tensor_exponential_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9948919Z test_Tensor_fill_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9949300Z test_Tensor_fill_diagonal_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9949615Z test_Tensor_fix (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9949914Z test_Tensor_fix_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9950205Z test_Tensor_flatten (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9950506Z test_Tensor_flip (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9950807Z test_Tensor_fliplr (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9951102Z test_Tensor_flipud (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9951402Z test_Tensor_float (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9951711Z test_Tensor_float_power (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9952027Z test_Tensor_float_power_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9952318Z test_Tensor_floor (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9952617Z test_Tensor_floor_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9952923Z test_Tensor_floor_divide (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9953226Z test_Tensor_floor_divide_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9953535Z test_Tensor_fmax (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9953832Z test_Tensor_fmin (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9954129Z test_Tensor_fmod (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9954417Z test_Tensor_fmod_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9954714Z test_Tensor_frac (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9955009Z test_Tensor_frac_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9955298Z test_Tensor_frexp (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9955597Z test_Tensor_gather (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9955896Z test_Tensor_gcd (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9956196Z test_Tensor_gcd_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9956480Z test_Tensor_ge (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9956773Z test_Tensor_ge_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9957116Z test_Tensor_geometric_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9957413Z test_Tensor_geqrf (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9957711Z test_Tensor_ger (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9958013Z test_Tensor_get_device (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9958313Z test_Tensor_greater (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9958619Z test_Tensor_greater_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9958935Z test_Tensor_greater_equal (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9959293Z test_Tensor_greater_equal_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9959588Z test_Tensor_gt (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9959882Z test_Tensor_gt_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9960181Z test_Tensor_half (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9960477Z test_Tensor_hardshrink (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9960789Z test_Tensor_has_names (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9961100Z test_Tensor_heaviside (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9961410Z test_Tensor_heaviside_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9961707Z test_Tensor_histc (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9962012Z test_Tensor_histogram (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9962321Z test_Tensor_hsplit (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9962611Z test_Tensor_hypot (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9962915Z test_Tensor_hypot_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9963218Z test_Tensor_i0 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9963512Z test_Tensor_i0_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9963797Z test_Tensor_igamma (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9964101Z test_Tensor_igamma_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9964406Z test_Tensor_igammac (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9964696Z test_Tensor_igammac_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9965008Z test_Tensor_index_add (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9965320Z test_Tensor_index_add_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9965632Z test_Tensor_index_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9965932Z test_Tensor_index_copy_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9966245Z test_Tensor_index_fill (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9966556Z test_Tensor_index_fill_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9966854Z test_Tensor_index_put (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9967162Z test_Tensor_index_put_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9967475Z test_Tensor_index_reduce (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9967781Z test_Tensor_index_reduce_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9968100Z test_Tensor_index_select (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9968408Z test_Tensor_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9968712Z test_Tensor_inner (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9969032Z test_Tensor_int (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9969340Z test_Tensor_int_repr (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9969645Z test_Tensor_inverse (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9969934Z test_Tensor_ipu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9970242Z test_Tensor_is_coalesced (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9970557Z test_Tensor_is_complex (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9970863Z test_Tensor_is_conj (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9971199Z test_Tensor_is_contiguous (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9971522Z test_Tensor_is_distributed (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9971850Z test_Tensor_is_floating_point (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9972163Z test_Tensor_is_inference (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9972470Z test_Tensor_is_neg (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9972775Z test_Tensor_is_nonzero (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9973085Z test_Tensor_is_pinned (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9973387Z test_Tensor_is_same_size (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9973693Z test_Tensor_is_set_to (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9974007Z test_Tensor_is_shared (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9974301Z test_Tensor_is_signed (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9974605Z test_Tensor_isclose (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9974913Z test_Tensor_isfinite (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9975219Z test_Tensor_isinf (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9975507Z test_Tensor_isnan (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9975813Z test_Tensor_isneginf (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9976124Z test_Tensor_isposinf (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9976419Z test_Tensor_isreal (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9976720Z test_Tensor_istft (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9977024Z test_Tensor_item (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9977322Z test_Tensor_kron (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9977616Z test_Tensor_kthvalue (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9977922Z test_Tensor_lcm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9978220Z test_Tensor_lcm_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9978508Z test_Tensor_ldexp (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9978970Z test_Tensor_ldexp_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9979281Z test_Tensor_le (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9979565Z test_Tensor_le_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9979859Z test_Tensor_lerp (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9980161Z test_Tensor_lerp_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9980460Z test_Tensor_less (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9980745Z test_Tensor_less_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9981108Z test_Tensor_less_equal (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9981422Z test_Tensor_less_equal_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9981719Z test_Tensor_lgamma (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9982025Z test_Tensor_lgamma_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9982324Z test_Tensor_log (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9982620Z test_Tensor_log10 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9982907Z test_Tensor_log10_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9983263Z test_Tensor_log1p (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9983562Z test_Tensor_log1p_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9983848Z test_Tensor_log2 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9984148Z test_Tensor_log2_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9984444Z test_Tensor_log_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9984747Z test_Tensor_log_normal_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9985046Z test_Tensor_log_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9985357Z test_Tensor_logaddexp (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9985674Z test_Tensor_logaddexp2 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9985982Z test_Tensor_logcumsumexp (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9986295Z test_Tensor_logdet (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9986601Z test_Tensor_logical_and (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9986902Z test_Tensor_logical_and_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9987217Z test_Tensor_logical_not (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9987529Z test_Tensor_logical_not_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9987841Z test_Tensor_logical_or (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9988142Z test_Tensor_logical_or_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9988452Z test_Tensor_logical_xor (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9988763Z test_Tensor_logical_xor_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9989055Z test_Tensor_logit (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9989446Z test_Tensor_logit_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9989753Z test_Tensor_logsumexp (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9990060Z test_Tensor_long (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9990351Z test_Tensor_lt (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9990642Z test_Tensor_lt_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9990934Z test_Tensor_lu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9991224Z test_Tensor_lu_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9991525Z test_Tensor_map2_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9991822Z test_Tensor_map_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9992127Z test_Tensor_masked_fill (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9992428Z test_Tensor_masked_fill_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9992748Z test_Tensor_masked_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9993107Z test_Tensor_masked_scatter_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9993420Z test_Tensor_masked_select (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9993733Z test_Tensor_matmul (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9994042Z test_Tensor_matrix_exp (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9994359Z test_Tensor_matrix_power (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9994651Z test_Tensor_max (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9994952Z test_Tensor_maximum (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9995288Z test_Tensor_mean (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9995579Z test_Tensor_median (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9995881Z test_Tensor_min (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9996183Z test_Tensor_minimum (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9996481Z test_Tensor_mm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9996765Z test_Tensor_mode (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9997066Z test_Tensor_moveaxis (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9997375Z test_Tensor_movedim (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9997667Z test_Tensor_msort (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9997967Z test_Tensor_mul (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9998265Z test_Tensor_mul_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9998561Z test_Tensor_multinomial (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9998869Z test_Tensor_multiply (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9999180Z test_Tensor_multiply_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9999480Z test_Tensor_mv (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:26.9999771Z test_Tensor_mvlgamma (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0000082Z test_Tensor_mvlgamma_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0000395Z test_Tensor_nan_to_num (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0000691Z test_Tensor_nan_to_num_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0000997Z test_Tensor_nanmean (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0001311Z test_Tensor_nanmedian (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0001626Z test_Tensor_nanquantile (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0001921Z test_Tensor_nansum (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0002228Z test_Tensor_narrow (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0002535Z test_Tensor_narrow_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0002836Z test_Tensor_ndimension (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0003140Z test_Tensor_ne (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0003435Z test_Tensor_ne_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0003729Z test_Tensor_neg (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0004014Z test_Tensor_neg_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0004320Z test_Tensor_negative (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0004632Z test_Tensor_negative_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0004928Z test_Tensor_nelement (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0005272Z test_Tensor_nextafter (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0005587Z test_Tensor_nextafter_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0005899Z test_Tensor_nonzero (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0006188Z test_Tensor_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0006493Z test_Tensor_normal_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0006798Z test_Tensor_not_equal (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0007094Z test_Tensor_not_equal_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0007440Z test_Tensor_numel (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0007742Z test_Tensor_numpy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0008032Z test_Tensor_orgqr (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0008333Z test_Tensor_ormqr (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0008630Z test_Tensor_outer (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0008931Z test_Tensor_permute (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0009228Z test_Tensor_pin_memory (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0009539Z test_Tensor_pinverse (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0009851Z test_Tensor_polygamma (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0010152Z test_Tensor_polygamma_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0010467Z test_Tensor_positive (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0010773Z test_Tensor_pow (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0011073Z test_Tensor_pow_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0011363Z test_Tensor_prelu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0011662Z test_Tensor_prod (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0011960Z test_Tensor_put (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0012241Z test_Tensor_put_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0012554Z test_Tensor_q_per_channel_axis (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0012888Z test_Tensor_q_per_channel_scales (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0013230Z test_Tensor_q_per_channel_zero_points (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0013541Z test_Tensor_q_scale (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0013851Z test_Tensor_q_zero_point (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0014158Z test_Tensor_qr (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0014446Z test_Tensor_qscheme (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0014754Z test_Tensor_quantile (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0015060Z test_Tensor_rad2deg (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0015363Z test_Tensor_rad2deg_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0015653Z test_Tensor_random_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0015955Z test_Tensor_ravel (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0016266Z test_Tensor_reciprocal (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0016569Z test_Tensor_reciprocal_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0016890Z test_Tensor_record_stream (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0017237Z test_Tensor_refine_names (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0017557Z test_Tensor_register_hook (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0017855Z test_Tensor_relu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0018152Z test_Tensor_relu_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0018456Z test_Tensor_remainder (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0018904Z test_Tensor_remainder_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0019233Z test_Tensor_rename (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0019596Z test_Tensor_rename_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0019888Z test_Tensor_renorm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0020188Z test_Tensor_renorm_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0020492Z test_Tensor_repeat (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0020810Z test_Tensor_repeat_interleave (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0021122Z test_Tensor_requires_grad_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0021436Z test_Tensor_reshape (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0021745Z test_Tensor_reshape_as (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0022038Z test_Tensor_resize (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0022340Z test_Tensor_resize_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0022647Z test_Tensor_resize_as (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0022952Z test_Tensor_resize_as_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0023263Z test_Tensor_resize_as_sparse_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0023586Z test_Tensor_resolve_conj (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0023901Z test_Tensor_resolve_neg (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0024199Z test_Tensor_retain_grad (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0024505Z test_Tensor_roll (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0024807Z test_Tensor_rot90 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0025105Z test_Tensor_round (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0025398Z test_Tensor_round_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0025704Z test_Tensor_row_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0026006Z test_Tensor_rsqrt (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0026296Z test_Tensor_rsqrt_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0026599Z test_Tensor_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0026903Z test_Tensor_scatter_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0027213Z test_Tensor_scatter_add (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0027515Z test_Tensor_scatter_add_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0027833Z test_Tensor_scatter_reduce (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0028154Z test_Tensor_scatter_reduce_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0028454Z test_Tensor_select (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0028763Z test_Tensor_select_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0029069Z test_Tensor_set_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0029499Z test_Tensor_sgn (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0029786Z test_Tensor_sgn_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0030092Z test_Tensor_share_memory_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0030402Z test_Tensor_short (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0030693Z test_Tensor_sigmoid (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0030997Z test_Tensor_sigmoid_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0031338Z test_Tensor_sign (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0031629Z test_Tensor_sign_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0031935Z test_Tensor_signbit (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0032242Z test_Tensor_sin (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0032539Z test_Tensor_sin_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0032824Z test_Tensor_sinc (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0033123Z test_Tensor_sinc_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0033421Z test_Tensor_sinh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0033704Z test_Tensor_sinh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0034000Z test_Tensor_size (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0034309Z test_Tensor_slice_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0034621Z test_Tensor_slogdet (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0034909Z test_Tensor_smm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0035210Z test_Tensor_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0035512Z test_Tensor_sort (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0035808Z test_Tensor_sparse_dim (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0036122Z test_Tensor_sparse_mask (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0036441Z test_Tensor_sparse_resize_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0036771Z test_Tensor_sparse_resize_and_clear_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0037080Z test_Tensor_split (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0037395Z test_Tensor_split_with_sizes (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0037705Z test_Tensor_sqrt (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0037989Z test_Tensor_sqrt_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0038292Z test_Tensor_square (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0038597Z test_Tensor_square_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0038903Z test_Tensor_squeeze (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0039193Z test_Tensor_squeeze_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0039500Z test_Tensor_sspaddmm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0039802Z test_Tensor_std (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0040087Z test_Tensor_stft (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0040392Z test_Tensor_storage (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0040703Z test_Tensor_storage_offset (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0041011Z test_Tensor_storage_type (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0041349Z test_Tensor_sub (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0041649Z test_Tensor_sub_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0041950Z test_Tensor_subtract (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0042247Z test_Tensor_subtract_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0042552Z test_Tensor_sum (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0042857Z test_Tensor_sum_to_size (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0043145Z test_Tensor_svd (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0043479Z test_Tensor_swapaxes (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0043793Z test_Tensor_swapaxes_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0044104Z test_Tensor_swapdims (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0044408Z test_Tensor_swapdims_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0044713Z test_Tensor_symeig (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0045010Z test_Tensor_t (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0045292Z test_Tensor_t_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0045590Z test_Tensor_take (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0045900Z test_Tensor_take_along_dim (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0046208Z test_Tensor_tan (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0046494Z test_Tensor_tan_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0046790Z test_Tensor_tanh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0047090Z test_Tensor_tanh_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0047388Z test_Tensor_tensor_split (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0047698Z test_Tensor_tile (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0047992Z test_Tensor_to (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0048281Z test_Tensor_to_dense (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0048586Z test_Tensor_to_mkldnn (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0048895Z test_Tensor_to_sparse (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0049202Z test_Tensor_tolist (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0049493Z test_Tensor_topk (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0049794Z test_Tensor_trace (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0050099Z test_Tensor_transpose (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0050402Z test_Tensor_transpose_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0050726Z test_Tensor_triangular_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0051040Z test_Tensor_tril (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0051336Z test_Tensor_tril_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0051625Z test_Tensor_triu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0051921Z test_Tensor_triu_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0052231Z test_Tensor_true_divide (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0052535Z test_Tensor_true_divide_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0052845Z test_Tensor_trunc (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0053177Z test_Tensor_trunc_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0053479Z test_Tensor_type (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0053771Z test_Tensor_type_as (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0054075Z test_Tensor_unbind (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0054376Z test_Tensor_unfold (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0054667Z test_Tensor_uniform_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0054973Z test_Tensor_unique (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0055320Z test_Tensor_unique_consecutive (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0055644Z test_Tensor_unsafe_chunk (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0055946Z test_Tensor_unsafe_split (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0056271Z test_Tensor_unsafe_split_with_sizes (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0056597Z test_Tensor_unsqueeze (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0056899Z test_Tensor_unsqueeze_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0057205Z test_Tensor_values (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0057504Z test_Tensor_var (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0057803Z test_Tensor_vdot (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0058091Z test_Tensor_view (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0058392Z test_Tensor_view_as (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0058697Z test_Tensor_vsplit (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0059156Z test_Tensor_where (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0059462Z test_Tensor_xlogy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0059766Z test_Tensor_xlogy_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0060054Z test_Tensor_xpu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0060351Z test_Tensor_zero_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0060659Z test__TensorBase_H___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0060972Z test__TensorBase_T___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0061293Z test__TensorBase__backward_hooks___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0061629Z test__TensorBase__base___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0061958Z test__TensorBase__cdata___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0062274Z test__TensorBase__grad___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0062601Z test__TensorBase__grad_fn___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0062931Z test__TensorBase__version___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0063256Z test__TensorBase_data___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0063571Z test__TensorBase_device___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0063896Z test__TensorBase_dtype___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0064221Z test__TensorBase_grad___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0064546Z test__TensorBase_grad_fn___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0064859Z test__TensorBase_imag___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0065239Z test__TensorBase_is_cpu___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0065571Z test__TensorBase_is_cuda___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0065887Z test__TensorBase_is_ipu___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0066212Z test__TensorBase_is_leaf___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0066536Z test__TensorBase_is_meta___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0066861Z test__TensorBase_is_mkldnn___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0067235Z test__TensorBase_is_mps___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0067563Z test__TensorBase_is_nested___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0067887Z test__TensorBase_is_ort___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0068207Z test__TensorBase_is_quantized___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0068546Z test__TensorBase_is_sparse___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0068884Z test__TensorBase_is_sparse_csr___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0069296Z test__TensorBase_is_vulkan___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0069613Z test__TensorBase_is_xpu___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0069938Z test__TensorBase_layout___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0070262Z test__TensorBase_mH___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0070567Z test__TensorBase_mT___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0070890Z test__TensorBase_name___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0071214Z test__TensorBase_names___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0071535Z test__TensorBase_ndim___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0071852Z test__TensorBase_output_nr___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0072178Z test__TensorBase_real___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0072511Z test__TensorBase_requires_grad___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0072840Z test__TensorBase_retains_grad___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0073171Z test__TensorBase_shape___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0073497Z test__TensorBase_volatile___get__ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0073805Z test_base (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0074079Z test_grad (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0074393Z test_has_torch_function_non_sequence (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0074706Z test_mean_semantics (__main__.TestTorchFunctionOverride) 2022-11-23T02:16:27.0074985Z Test that a function with one argument can be overrided ... ok (0.001s) 2022-11-23T02:16:27.0075267Z test_mm_semantics (__main__.TestTorchFunctionOverride) 2022-11-23T02:16:27.0075560Z Test that a function with multiple arguments can be overrided ... ok (0.003s) 2022-11-23T02:16:27.0075863Z test_pow_rpow (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0076149Z test_precedence_semantics (__main__.TestTorchFunctionOverride) 2022-11-23T02:16:27.0076448Z Test semantics for __torch_function__ for functions that take ... ok (0.003s) 2022-11-23T02:16:27.0076753Z test_tensor_subclass_propagation (__main__.TestTorchFunctionOverride) 2022-11-23T02:16:27.0077075Z this test exercises the functionality described in ... ok (0.002s) 2022-11-23T02:16:27.0077380Z test_torch__C__fft_fft_fft (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0077696Z test_torch__C__fft_fft_fft2 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0078011Z test_torch__C__fft_fft_fftn (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0078322Z test_torch__C__fft_fft_fftshift (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0078641Z test_torch__C__fft_fft_hfft (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0078990Z test_torch__C__fft_fft_hfft2 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0079297Z test_torch__C__fft_fft_hfftn (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0079615Z test_torch__C__fft_fft_ifft (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0079934Z test_torch__C__fft_fft_ifft2 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0080246Z test_torch__C__fft_fft_ifftn (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0080557Z test_torch__C__fft_fft_ifftshift (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0080876Z test_torch__C__fft_fft_ihfft (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0081190Z test_torch__C__fft_fft_ihfft2 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0081499Z test_torch__C__fft_fft_ihfftn (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0081824Z test_torch__C__fft_fft_irfft (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0082140Z test_torch__C__fft_fft_irfft2 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0082454Z test_torch__C__fft_fft_irfftn (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0082761Z test_torch__C__fft_fft_rfft (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0083076Z test_torch__C__fft_fft_rfft2 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0083390Z test_torch__C__fft_fft_rfftn (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0083707Z test_torch__C__linalg_linalg_cholesky (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0084054Z test_torch__C__linalg_linalg_cholesky_ex (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0084395Z test_torch__C__linalg_linalg_cond (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0084731Z test_torch__C__linalg_linalg_cross (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0085051Z test_torch__C__linalg_linalg_det (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0085390Z test_torch__C__linalg_linalg_diagonal (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0085726Z test_torch__C__linalg_linalg_eig (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0086130Z test_torch__C__linalg_linalg_eigh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0086485Z test_torch__C__linalg_linalg_eigvals (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0086829Z test_torch__C__linalg_linalg_eigvalsh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0087186Z test_torch__C__linalg_linalg_householder_product (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0087525Z test_torch__C__linalg_linalg_inv (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0087856Z test_torch__C__linalg_linalg_inv_ex (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0088196Z test_torch__C__linalg_linalg_ldl_factor (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0088577Z test_torch__C__linalg_linalg_ldl_factor_ex (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0088914Z test_torch__C__linalg_linalg_ldl_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0089250Z test_torch__C__linalg_linalg_lstsq (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0089579Z test_torch__C__linalg_linalg_lu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0089904Z test_torch__C__linalg_linalg_lu_factor (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0090248Z test_torch__C__linalg_linalg_lu_factor_ex (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0090622Z test_torch__C__linalg_linalg_lu_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0090962Z test_torch__C__linalg_linalg_matmul (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0091291Z test_torch__C__linalg_linalg_matrix_exp (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0091636Z test_torch__C__linalg_linalg_matrix_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0091985Z test_torch__C__linalg_linalg_matrix_power (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0092319Z test_torch__C__linalg_linalg_matrix_rank (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0092660Z test_torch__C__linalg_linalg_multi_dot (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0092994Z test_torch__C__linalg_linalg_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0093328Z test_torch__C__linalg_linalg_pinv (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0093648Z test_torch__C__linalg_linalg_qr (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0093983Z test_torch__C__linalg_linalg_slogdet (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0094319Z test_torch__C__linalg_linalg_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0094655Z test_torch__C__linalg_linalg_solve_ex (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0094992Z test_torch__C__linalg_linalg_solve_triangular (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0095335Z test_torch__C__linalg_linalg_svd (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0095667Z test_torch__C__linalg_linalg_svdvals (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0095996Z test_torch__C__linalg_linalg_tensorinv (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0096344Z test_torch__C__linalg_linalg_tensorsolve (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0096685Z test_torch__C__linalg_linalg_vander (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0097025Z test_torch__C__linalg_linalg_vecdot (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0097352Z test_torch__C__linalg_linalg_vector_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0097684Z test_torch__C__nn_avg_pool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0098007Z test_torch__C__nn_avg_pool3d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0098313Z test_torch__C__nn_gelu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0098626Z test_torch__C__nn_linear (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0099086Z test_torch__C__nn_log_sigmoid (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0099407Z test_torch__C__nn_one_hot (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0099712Z test_torch__C__nn_softplus (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0100096Z test_torch__C__nn_softshrink (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0100436Z test_torch__C__special_special_airy_ai (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0100771Z test_torch__C__special_special_bessel_j0 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0101114Z test_torch__C__special_special_bessel_j1 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0101446Z test_torch__C__special_special_bessel_y0 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0101783Z test_torch__C__special_special_bessel_y1 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0102177Z test_torch__C__special_special_chebyshev_polynomial_t (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0102559Z test_torch__C__special_special_chebyshev_polynomial_u (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0102937Z test_torch__C__special_special_chebyshev_polynomial_v (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0103310Z test_torch__C__special_special_chebyshev_polynomial_w (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0103653Z test_torch__C__special_special_digamma (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0103994Z test_torch__C__special_special_entr (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0104331Z test_torch__C__special_special_erf (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0104656Z test_torch__C__special_special_erfc (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0104999Z test_torch__C__special_special_erfcx (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0105340Z test_torch__C__special_special_erfinv (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0105680Z test_torch__C__special_special_exp2 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0106005Z test_torch__C__special_special_expit (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0106343Z test_torch__C__special_special_expm1 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0106684Z test_torch__C__special_special_gammainc (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0107036Z test_torch__C__special_special_gammaincc (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0107371Z test_torch__C__special_special_gammaln (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0107736Z test_torch__C__special_special_hermite_polynomial_h (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0108110Z test_torch__C__special_special_hermite_polynomial_he (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0108451Z test_torch__C__special_special_i0 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0108790Z test_torch__C__special_special_i0e (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0109200Z test_torch__C__special_special_i1 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0109552Z test_torch__C__special_special_i1e (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0109895Z test_torch__C__special_special_laguerre_polynomial_l (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0110278Z test_torch__C__special_special_legendre_polynomial_p (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0110638Z test_torch__C__special_special_log1p (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0110981Z test_torch__C__special_special_log_ndtr (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0111319Z test_torch__C__special_special_log_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0111697Z test_torch__C__special_special_logit (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0112050Z test_torch__C__special_special_logsumexp (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0112400Z test_torch__C__special_special_modified_bessel_i0 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0112770Z test_torch__C__special_special_modified_bessel_i1 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0113135Z test_torch__C__special_special_modified_bessel_k0 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0113531Z test_torch__C__special_special_modified_bessel_k1 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0113879Z test_torch__C__special_special_multigammaln (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0114229Z test_torch__C__special_special_ndtr (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0114572Z test_torch__C__special_special_ndtri (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0114919Z test_torch__C__special_special_polygamma (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0115249Z test_torch__C__special_special_psi (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0115584Z test_torch__C__special_special_round (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0115947Z test_torch__C__special_special_scaled_modified_bessel_k0 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0116312Z test_torch__C__special_special_scaled_modified_bessel_k1 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0116702Z test_torch__C__special_special_shifted_chebyshev_polynomial_t (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0117103Z test_torch__C__special_special_shifted_chebyshev_polynomial_u (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0117498Z test_torch__C__special_special_shifted_chebyshev_polynomial_v (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0117875Z test_torch__C__special_special_shifted_chebyshev_polynomial_w (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0118236Z test_torch__C__special_special_sinc (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0118580Z test_torch__C__special_special_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0118939Z test_torch__C__special_special_spherical_bessel_j0 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0119289Z test_torch__C__special_special_xlog1py (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0119631Z test_torch__C__special_special_xlogy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0119970Z test_torch__C__special_special_zeta (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0120281Z test_torch__assert_async (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0120593Z test_torch__conj_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0120912Z test_torch__fw_primal_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0121231Z test_torch__indices_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0121543Z test_torch__lobpcg_lobpcg (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0121872Z test_torch__lowrank_pca_lowrank (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0122207Z test_torch__lowrank_svd_lowrank (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0122522Z test_torch__make_dual_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0122837Z test_torch__neg_view_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0123188Z test_torch__reshape_alias_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0123516Z test_torch__rowwise_prune (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0123838Z test_torch__sparse_broadcast_to_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0124168Z test_torch__values_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0124476Z test_torch_abs (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0124766Z test_torch_absolute (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0125103Z test_torch_acos (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0125404Z test_torch_acosh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0125724Z test_torch_adaptive_avg_pool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0126050Z test_torch_adaptive_max_pool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0126365Z test_torch_add (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0126666Z test_torch_addbmm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0126960Z test_torch_addcdiv (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0127265Z test_torch_addcmul (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0127567Z test_torch_addmm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0127866Z test_torch_addmv (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0128157Z test_torch_addr (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0128459Z test_torch_adjoint (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0128781Z test_torch_affine_grid_generator (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0129098Z test_torch_alias_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0129399Z test_torch_all (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0129703Z test_torch_allclose (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0130016Z test_torch_alpha_dropout (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0130312Z test_torch_amax (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0130611Z test_torch_amin (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0131066Z test_torch_aminmax (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0131486Z test_torch_angle (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0131799Z test_torch_any (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0132157Z test_torch_arccos (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0132523Z test_torch_arccosh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0132921Z test_torch_arcsin (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0133240Z test_torch_arcsinh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0133597Z test_torch_arctan (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0148330Z test_torch_arctan2 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0148646Z test_torch_arctanh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0148959Z test_torch_argmax (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0149380Z test_torch_argmin (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0149690Z test_torch_argsort (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0149988Z test_torch_argwhere (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0150440Z test_torch_as_strided_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0150775Z test_torch_as_strided_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0151079Z test_torch_asin (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0151382Z test_torch_asinh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0151683Z test_torch_atan (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0151971Z test_torch_atan2 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0152275Z test_torch_atanh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0152639Z test_torch_avg_pool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0152952Z test_torch_baddbmm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0153250Z test_torch_batch_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0153578Z test_torch_batch_norm_backward_elemt (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0153925Z test_torch_batch_norm_backward_reduce (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0154250Z test_torch_batch_norm_elemt (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0154580Z test_torch_batch_norm_gather_stats (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0154934Z test_torch_batch_norm_gather_stats_with_counts (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0155276Z test_torch_batch_norm_stats (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0155599Z test_torch_batch_norm_update_stats (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0155925Z test_torch_bernoulli (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0156235Z test_torch_bilinear (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0156569Z test_torch_binary_cross_entropy_with_logits (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0156887Z test_torch_bincount (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0157192Z test_torch_binomial (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0157500Z test_torch_bitwise_and (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0157809Z test_torch_bitwise_left_shift (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0158130Z test_torch_bitwise_not (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0158442Z test_torch_bitwise_or (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0158754Z test_torch_bitwise_right_shift (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0159076Z test_torch_bitwise_xor (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0159379Z test_torch_bmm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0159687Z test_torch_broadcast_to (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0159987Z test_torch_bucketize (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0160290Z test_torch_cat (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0160602Z test_torch_ccol_indices_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0160903Z test_torch_ceil (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0161200Z test_torch_celu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0161511Z test_torch_channel_shuffle (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0161826Z test_torch_cholesky (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0162129Z test_torch_cholesky_inverse (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0162482Z test_torch_cholesky_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0162818Z test_torch_choose_qparams_optimized (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0163130Z test_torch_chunk (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0163433Z test_torch_clamp (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0163739Z test_torch_clamp_max (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0164046Z test_torch_clamp_min (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0164370Z test_torch_clip (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0164669Z test_torch_clone (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0164984Z test_torch_col_indices_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0165292Z test_torch_column_stack (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0165608Z test_torch_combinations (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0165917Z test_torch_complex (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0166224Z test_torch_concat (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0166526Z test_torch_concatenate (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0166831Z test_torch_conj (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0167141Z test_torch_conj_physical (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0167455Z test_torch_constant_pad_nd (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0167771Z test_torch_conv1d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0168074Z test_torch_conv2d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0168378Z test_torch_conv3d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0168669Z test_torch_conv_tbc (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0168987Z test_torch_conv_transpose1d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0169317Z test_torch_conv_transpose2d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0169628Z test_torch_conv_transpose3d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0169951Z test_torch_convolution (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0170267Z test_torch_copysign (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0170575Z test_torch_corrcoef (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0170862Z test_torch_cos (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0171161Z test_torch_cosh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0171482Z test_torch_cosine_embedding_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0171804Z test_torch_cosine_similarity (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0172129Z test_torch_count_nonzero (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0172435Z test_torch_cov (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0172719Z test_torch_cross (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0173034Z test_torch_crow_indices_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0173358Z test_torch_ctc_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0173661Z test_torch_cummax (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0173950Z test_torch_cummin (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0174284Z test_torch_cumprod (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0174593Z test_torch_cumsum (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0174901Z test_torch_cumulative_trapezoid (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0175226Z test_torch_deg2rad (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0175535Z test_torch_dequantize (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0175839Z test_torch_det (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0176124Z test_torch_detach (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0176487Z test_torch_detach_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0176798Z test_torch_diag (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0177092Z test_torch_diag_embed (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0177406Z test_torch_diagflat (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0177715Z test_torch_diagonal (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0178029Z test_torch_diagonal_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0178341Z test_torch_diagonal_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0178654Z test_torch_diff (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0179176Z test_torch_digamma (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0179475Z test_torch_dist (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0179778Z test_torch_div (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0180080Z test_torch_divide (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0180382Z test_torch_dot (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0180676Z test_torch_dropout (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0180980Z test_torch_dsmm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0181285Z test_torch_dsplit (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0181578Z test_torch_dstack (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0181887Z test_torch_embedding (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0182206Z test_torch_embedding_bag (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0182512Z test_torch_empty_like (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0182818Z test_torch_eq (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0183117Z test_torch_equal (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0183414Z test_torch_erf (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0183705Z test_torch_erfc (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0184004Z test_torch_erfinv (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0184300Z test_torch_exp (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0184585Z test_torch_exp2 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0184893Z test_torch_expand_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0185197Z test_torch_expm1 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0185528Z test_torch_fake_quantize_per_channel_affine (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0185877Z test_torch_fake_quantize_per_tensor_affine (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0186229Z test_torch_fbgemm_linear_fp16_weight (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0186677Z test_torch_fbgemm_linear_fp16_weight_fp32_activation (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0187072Z test_torch_fbgemm_linear_int8_weight (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0187428Z test_torch_fbgemm_linear_int8_weight_fp32_activation (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0187790Z test_torch_fbgemm_linear_quantize_weight (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0188146Z test_torch_fbgemm_pack_gemm_matrix_fp16 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0188487Z test_torch_fbgemm_pack_quantized_matrix (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0188881Z test_torch_feature_alpha_dropout (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0189290Z test_torch_feature_dropout (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0189604Z test_torch_fix (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0189897Z test_torch_flatten (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0190200Z test_torch_flip (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0190504Z test_torch_fliplr (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0190796Z test_torch_flipud (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0191106Z test_torch_float_power (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0191413Z test_torch_floor (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0191707Z test_torch_floor_divide (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0192015Z test_torch_fmax (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0192310Z test_torch_fmin (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0192605Z test_torch_fmod (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0192890Z test_torch_frac (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0193184Z test_torch_frexp (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0193498Z test_torch_frobenius_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0193797Z test_torch_full_like (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0193958Z test_torch_functional_atleast_1d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0194117Z test_torch_functional_atleast_2d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0194276Z test_torch_functional_atleast_3d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0194432Z test_torch_functional_block_diag (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0194600Z test_torch_functional_broadcast_tensors (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0194766Z test_torch_functional_cartesian_prod (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0194920Z test_torch_functional_cdist (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0195067Z test_torch_functional_chain_matmul (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0195220Z test_torch_functional_einsum (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0195368Z test_torch_functional_lu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0195525Z test_torch_functional_meshgrid (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0195676Z test_torch_functional_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0195830Z test_torch_functional_split (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0195979Z test_torch_functional_stft (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0196170Z test_torch_functional_tensordot (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0196325Z test_torch_functional_unique (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0196480Z test_torch_functional_unique_consecutive (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0196647Z test_torch_fused_moving_avg_obs_fake_quant (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0196790Z test_torch_gather (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0196929Z test_torch_gcd (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0197120Z test_torch_ge (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0197259Z test_torch_geqrf (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0197393Z test_torch_ger (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0197539Z test_torch_gradient (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0197669Z test_torch_greater (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0197817Z test_torch_greater_equal (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0197967Z test_torch_grid_sampler (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0198120Z test_torch_grid_sampler_2d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0198270Z test_torch_grid_sampler_3d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0198417Z test_torch_group_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0198555Z test_torch_gru (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0198696Z test_torch_gru_cell (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0198820Z test_torch_gt (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0198968Z test_torch_hardshrink (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0199113Z test_torch_heaviside (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0199272Z test_torch_hinge_embedding_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0199411Z test_torch_histc (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0199554Z test_torch_histogram (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0199701Z test_torch_histogramdd (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0199840Z test_torch_hsmm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0199969Z test_torch_hsplit (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0200109Z test_torch_hstack (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0200249Z test_torch_hypot (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0200385Z test_torch_i0 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0200526Z test_torch_igamma (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0200666Z test_torch_igammac (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0200803Z test_torch_imag (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0200945Z test_torch_index_add (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0201077Z test_torch_index_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0201219Z test_torch_index_fill (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0201363Z test_torch_index_put (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0201510Z test_torch_index_reduce (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0201657Z test_torch_index_select (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0201830Z test_torch_indices_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0201969Z test_torch_inner (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0202117Z test_torch_instance_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0202247Z test_torch_int_repr (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0202387Z test_torch_inverse (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0202529Z test_torch_is_complex (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0202697Z test_torch_is_conj (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0202849Z test_torch_is_distributed (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0203003Z test_torch_is_floating_point (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0203151Z test_torch_is_inference (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0203287Z test_torch_is_neg (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0203419Z test_torch_is_nonzero (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0203562Z test_torch_is_same_size (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0203703Z test_torch_is_signed (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0203844Z test_torch_isclose (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0203985Z test_torch_isfinite (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0204123Z test_torch_isin (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0204260Z test_torch_isinf (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0204398Z test_torch_isnan (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0204531Z test_torch_isneginf (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0204674Z test_torch_isposinf (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0204814Z test_torch_isreal (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0204952Z test_torch_istft (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0205090Z test_torch_kl_div (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0205227Z test_torch_kron (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0205367Z test_torch_kthvalue (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0205513Z test_torch_layer_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0205636Z test_torch_lcm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0205773Z test_torch_ldexp (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0205911Z test_torch_le (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0206048Z test_torch_lerp (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0206184Z test_torch_less (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0206327Z test_torch_less_equal (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0206465Z test_torch_lgamma (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0206590Z test_torch_log (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0206727Z test_torch_log10 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0206866Z test_torch_log1p (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0207001Z test_torch_log2 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0207145Z test_torch_log_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0207316Z test_torch_logaddexp (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0207467Z test_torch_logaddexp2 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0207616Z test_torch_logcumsumexp (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0207742Z test_torch_logdet (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0207888Z test_torch_logical_and (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0208031Z test_torch_logical_not (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0208171Z test_torch_logical_or (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0208343Z test_torch_logical_xor (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0208480Z test_torch_logit (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0208624Z test_torch_logsumexp (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0208762Z test_torch_lstm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0208891Z test_torch_lstm_cell (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0209026Z test_torch_lt (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0209165Z test_torch_lu_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0209305Z test_torch_lu_unpack (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0209461Z test_torch_margin_ranking_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0209604Z test_torch_masked_fill (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0209756Z test_torch_masked_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0209903Z test_torch_masked_select (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0210031Z test_torch_matmul (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0210178Z test_torch_matrix_exp (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0210326Z test_torch_matrix_power (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0210462Z test_torch_max (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0210605Z test_torch_max_pool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0210764Z test_torch_max_pool1d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0210909Z test_torch_max_pool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0211056Z test_torch_max_pool3d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0211185Z test_torch_maximum (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0211323Z test_torch_mean (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0211464Z test_torch_median (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0211602Z test_torch_min (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0211743Z test_torch_minimum (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0211895Z test_torch_miopen_batch_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0212052Z test_torch_miopen_convolution (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0212219Z test_torch_miopen_convolution_add_relu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0212378Z test_torch_miopen_convolution_relu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0212538Z test_torch_miopen_convolution_transpose (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0212706Z test_torch_miopen_depthwise_convolution (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0212881Z test_torch_miopen_rnn (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0213024Z test_torch_mode (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0213166Z test_torch_moveaxis (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0213308Z test_torch_movedim (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0213447Z test_torch_msort (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0213582Z test_torch_mul (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0213716Z test_torch_multinomial (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0213888Z test_torch_multiply (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0214025Z test_torch_mv (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0214168Z test_torch_mvlgamma (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0214314Z test_torch_nan_to_num (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0214455Z test_torch_nanmean (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0214598Z test_torch_nanmedian (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0214741Z test_torch_nanquantile (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0214869Z test_torch_nansum (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0215008Z test_torch_narrow (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0215151Z test_torch_narrow_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0215308Z test_torch_native_batch_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0215468Z test_torch_native_channel_shuffle (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0215619Z test_torch_native_dropout (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0215773Z test_torch_native_group_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0215919Z test_torch_native_layer_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0216053Z test_torch_native_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0216189Z test_torch_ne (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0216324Z test_torch_neg (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0216467Z test_torch_negative (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0216612Z test_torch_nextafter (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0216775Z test_torch_nn_functional__threshold (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0216949Z test_torch_nn_functional_adaptive_avg_pool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0217124Z test_torch_nn_functional_adaptive_avg_pool3d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0217281Z test_torch_nn_functional_adaptive_max_pool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0217468Z test_torch_nn_functional_adaptive_max_pool1d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0217638Z test_torch_nn_functional_adaptive_max_pool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0217826Z test_torch_nn_functional_adaptive_max_pool2d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0217996Z test_torch_nn_functional_adaptive_max_pool3d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0218186Z test_torch_nn_functional_adaptive_max_pool3d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0218347Z test_torch_nn_functional_affine_grid (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0218545Z test_torch_nn_functional_alpha_dropout (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0218706Z test_torch_nn_functional_batch_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0219034Z test_torch_nn_functional_binary_cross_entropy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0219226Z test_torch_nn_functional_binary_cross_entropy_with_logits (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0219381Z test_torch_nn_functional_celu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0219555Z test_torch_nn_functional_cosine_embedding_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0219777Z test_torch_nn_functional_cross_entropy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0219936Z test_torch_nn_functional_ctc_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0220099Z test_torch_nn_functional_dropout (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0220261Z test_torch_nn_functional_dropout1d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0220409Z test_torch_nn_functional_dropout2d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0220568Z test_torch_nn_functional_dropout3d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0220721Z test_torch_nn_functional_elu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0220878Z test_torch_nn_functional_embedding (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0221046Z test_torch_nn_functional_embedding_bag (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0221220Z test_torch_nn_functional_feature_alpha_dropout (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0221373Z test_torch_nn_functional_fold (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0221551Z test_torch_nn_functional_fractional_max_pool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0221741Z test_torch_nn_functional_fractional_max_pool2d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0221900Z test_torch_nn_functional_fractional_max_pool3d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0222085Z test_torch_nn_functional_fractional_max_pool3d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0222255Z test_torch_nn_functional_gaussian_nll_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0222410Z test_torch_nn_functional_glu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0222573Z test_torch_nn_functional_grid_sample (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0222736Z test_torch_nn_functional_group_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0222902Z test_torch_nn_functional_gumbel_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0223063Z test_torch_nn_functional_hardtanh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0223236Z test_torch_nn_functional_hinge_embedding_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0223382Z test_torch_nn_functional_huber_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0223547Z test_torch_nn_functional_instance_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0223711Z test_torch_nn_functional_interpolate (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0223865Z test_torch_nn_functional_kl_div (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0224019Z test_torch_nn_functional_l1_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0224218Z test_torch_nn_functional_layer_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0224377Z test_torch_nn_functional_leaky_relu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0224549Z test_torch_nn_functional_local_response_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0224697Z test_torch_nn_functional_log_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0224858Z test_torch_nn_functional_lp_pool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0225014Z test_torch_nn_functional_lp_pool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0225230Z test_torch_nn_functional_margin_ranking_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0225388Z test_torch_nn_functional_max_pool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0225568Z test_torch_nn_functional_max_pool1d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0225728Z test_torch_nn_functional_max_pool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0225904Z test_torch_nn_functional_max_pool2d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0226063Z test_torch_nn_functional_max_pool3d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0226226Z test_torch_nn_functional_max_pool3d_with_indices (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0226391Z test_torch_nn_functional_max_unpool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0226558Z test_torch_nn_functional_max_unpool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0226717Z test_torch_nn_functional_max_unpool3d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0226872Z test_torch_nn_functional_mish (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0227030Z test_torch_nn_functional_mse_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0227215Z test_torch_nn_functional_multi_head_attention_forward (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0227383Z test_torch_nn_functional_multi_margin_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0227560Z test_torch_nn_functional_multilabel_margin_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0227725Z test_torch_nn_functional_multilabel_soft_margin_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0227884Z test_torch_nn_functional_nll_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0228046Z test_torch_nn_functional_normalize (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0228202Z test_torch_nn_functional_pad (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0228371Z test_torch_nn_functional_poisson_nll_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0228526Z test_torch_nn_functional_relu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0228680Z test_torch_nn_functional_relu6 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0228830Z test_torch_nn_functional_rrelu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0228973Z test_torch_nn_functional_selu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0229202Z test_torch_nn_functional_silu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0229384Z test_torch_nn_functional_smooth_l1_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0229551Z test_torch_nn_functional_soft_margin_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0229742Z test_torch_nn_functional_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0229900Z test_torch_nn_functional_softmin (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0230059Z test_torch_nn_functional_softsign (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0230218Z test_torch_nn_functional_tanhshrink (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0230389Z test_torch_nn_functional_triplet_margin_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0230562Z test_torch_nn_functional_triplet_margin_with_distance_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0230750Z test_torch_nn_functional_unfold (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0230901Z test_torch_nn_init_constant_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0231059Z test_torch_nn_init_kaiming_uniform_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0231209Z test_torch_nn_init_normal_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0231358Z test_torch_nn_init_uniform_ (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0231500Z test_torch_nonzero (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0231648Z test_torch_norm_except_dim (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0231778Z test_torch_not_equal (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0231928Z test_torch_nuclear_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0232067Z test_torch_numel (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0232209Z test_torch_ones_like (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0232347Z test_torch_orgqr (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0232485Z test_torch_ormqr (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0232620Z test_torch_outer (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0232776Z test_torch_pairwise_distance (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0232902Z test_torch_pdist (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0233045Z test_torch_permute (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0233195Z test_torch_permute_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0233340Z test_torch_pinverse (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0233491Z test_torch_pixel_shuffle (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0233641Z test_torch_pixel_unshuffle (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0233783Z test_torch_poisson (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0233934Z test_torch_poisson_nll_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0234062Z test_torch_polar (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0234206Z test_torch_polygamma (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0234348Z test_torch_positive (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0234483Z test_torch_pow (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0234619Z test_torch_prelu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0234757Z test_torch_prod (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0234895Z test_torch_put (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0235047Z test_torch_q_per_channel_axis (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0235190Z test_torch_q_per_channel_scales (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0235383Z test_torch_q_per_channel_zero_points (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0235525Z test_torch_q_scale (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0235671Z test_torch_q_zero_point (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0235806Z test_torch_qr (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0235949Z test_torch_quantile (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0236105Z test_torch_quantize_per_channel (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0236290Z test_torch_quantize_per_tensor (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0236443Z test_torch_quantize_per_tensor_dynamic (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0236602Z test_torch_quantized_batch_norm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0236756Z test_torch_quantized_gru_cell (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0236908Z test_torch_quantized_lstm_cell (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0237063Z test_torch_quantized_max_pool1d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0237216Z test_torch_quantized_max_pool2d (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0237374Z test_torch_quantized_rnn_relu_cell (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0237528Z test_torch_quantized_rnn_tanh_cell (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0237661Z test_torch_rad2deg (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0237803Z test_torch_rand_like (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0237950Z test_torch_randint_like (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0238094Z test_torch_randn_like (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0238233Z test_torch_ravel (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0238370Z test_torch_real (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0238518Z test_torch_reciprocal (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0238653Z test_torch_relu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0238785Z test_torch_remainder (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0238924Z test_torch_renorm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0239081Z test_torch_repeat_interleave (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0239221Z test_torch_reshape (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0239368Z test_torch_resolve_conj (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0239514Z test_torch_resolve_neg (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0239654Z test_torch_rnn_relu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0239800Z test_torch_rnn_relu_cell (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0239928Z test_torch_rnn_tanh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0240071Z test_torch_rnn_tanh_cell (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0240208Z test_torch_roll (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0240344Z test_torch_rot90 (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0240484Z test_torch_round (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0240637Z test_torch_row_indices_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0240779Z test_torch_row_stack (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0240944Z test_torch_rrelu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0241067Z test_torch_rsqrt (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0241205Z test_torch_rsub (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0241344Z test_torch_saddmm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0241486Z test_torch_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0241631Z test_torch_scatter_add (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0241782Z test_torch_scatter_reduce (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0241962Z test_torch_searchsorted (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0242112Z test_torch_segment_reduce (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0242239Z test_torch_select (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0242386Z test_torch_select_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0242532Z test_torch_select_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0242668Z test_torch_selu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0242804Z test_torch_sgn (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0242943Z test_torch_sigmoid (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0243080Z test_torch_sign (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0243220Z test_torch_signbit (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0243345Z test_torch_sin (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0243480Z test_torch_sinc (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0243616Z test_torch_sinh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0243761Z test_torch_slice_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0243908Z test_torch_slice_scatter (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0244050Z test_torch_slogdet (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0244185Z test_torch_smm (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0244322Z test_torch_softmax (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0244446Z test_torch_sort (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0244592Z test_torch_split_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0244743Z test_torch_split_with_sizes (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0244900Z test_torch_split_with_sizes_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0245036Z test_torch_sqrt (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0245176Z test_torch_square (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0245316Z test_torch_squeeze (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0245462Z test_torch_squeeze_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0245587Z test_torch_stack (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0245722Z test_torch_std (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0245862Z test_torch_std_mean (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0245998Z test_torch_sub (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0246140Z test_torch_subtract (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0246275Z test_torch_sum (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0246435Z test_torch_svd (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0246581Z test_torch_swapaxes (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0246711Z test_torch_swapdims (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0246850Z test_torch_symeig (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0246984Z test_torch_t (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0247121Z test_torch_t_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0247260Z test_torch_take (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0247442Z test_torch_take_along_dim (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0247577Z test_torch_tan (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0247711Z test_torch_tanh (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0247847Z test_torch_tensor_split (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0247989Z test_torch_threshold (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0248123Z test_torch_tile (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0248258Z test_torch_topk (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0248395Z test_torch_trace (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0248536Z test_torch_transpose (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0248687Z test_torch_transpose_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0248838Z test_torch_trapezoid (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0248963Z test_torch_trapz (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0249116Z test_torch_triangular_solve (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0249252Z test_torch_tril (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0249408Z test_torch_triplet_margin_loss (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0249542Z test_torch_triu (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0249687Z test_torch_true_divide (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0249823Z test_torch_trunc (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0249961Z test_torch_unbind (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0250094Z test_torch_unbind_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0250238Z test_torch_unflatten (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0250381Z test_torch_unfold_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0250526Z test_torch_unsafe_chunk (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0250673Z test_torch_unsafe_split (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0250831Z test_torch_unsafe_split_with_sizes (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0250978Z test_torch_unsqueeze (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0251126Z test_torch_unsqueeze_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0251257Z test_torch_values_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0251393Z test_torch_var (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0251535Z test_torch_var_mean (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0251671Z test_torch_vdot (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0251819Z test_torch_view_as_complex (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0252020Z test_torch_view_as_complex_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0252166Z test_torch_view_as_real (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0252317Z test_torch_view_as_real_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0252445Z test_torch_view_copy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0252586Z test_torch_vsplit (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0252720Z test_torch_vstack (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0252858Z test_torch_where (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0253026Z test_torch_xlogy (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0253171Z test_torch_zeros_like (__main__.TestTorchFunctionOverride) ... ok (0.001s) 2022-11-23T02:16:27.0253321Z test_user_implementation_raises (__main__.TestTorchFunctionOverride) 2022-11-23T02:16:27.0253477Z Test that errors raised in user implementations propagate correctly ... ok (0.001s) 2022-11-23T02:16:27.0253624Z test_warn_on_invalid_torch_function (__main__.TestTorchFunctionWarning) ... ok (0.007s) 2022-11-23T02:16:27.0253763Z test_wrap_torch_function (__main__.TestWrapTorchFunction) ... ok (0.001s) 2022-11-23T02:16:27.0253772Z 2022-11-23T02:16:27.0254073Z ---------------------------------------------------------------------- 2022-11-23T02:16:27.0254156Z Ran 1415 tests in 1.470s 2022-11-23T02:16:27.0254162Z 2022-11-23T02:16:27.0254225Z OK 2022-11-23T02:16:27.0254231Z 2022-11-23T02:16:27.0254317Z Generating XML reports... 2022-11-23T02:16:27.0254659Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestBroadcastAllOverride-20221123021625.xml 2022-11-23T02:16:27.0254987Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestDisabledTorchFunction-20221123021625.xml 2022-11-23T02:16:27.0255287Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestEinsumOverride-20221123021625.xml 2022-11-23T02:16:27.0255580Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestGradCheckOverride-20221123021625.xml 2022-11-23T02:16:27.0255891Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestGradNewOnesOverride-20221123021625.xml 2022-11-23T02:16:27.0256164Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestIndexing-20221123021625.xml 2022-11-23T02:16:27.0256434Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestIterator-20221123021625.xml 2022-11-23T02:16:27.0256715Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestNamedTuple-20221123021625.xml 2022-11-23T02:16:27.0256986Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestPickle-20221123021625.xml 2022-11-23T02:16:27.0257243Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestRNN-20221123021625.xml 2022-11-23T02:16:27.0257526Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestResolveName-20221123021625.xml 2022-11-23T02:16:27.0257827Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestTorchFunctionMode-20221123021625.xml 2022-11-23T02:16:27.0258126Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestTorchFunctionOverride-20221123021625.xml 2022-11-23T02:16:27.0258434Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestTorchFunctionWarning-20221123021625.xml 2022-11-23T02:16:27.0258730Z Generated XML report: test-reports/python-unittest/test_overrides/TEST-TestWrapTorchFunction-20221123021625.xml 2022-11-23T02:16:27.0258889Z 2022-11-23T02:16:27.0259286Z ##[endgroup] 2022-11-23T02:16:27.0259581Z FINISHED PRINTING LOG FILE of test_overrides (/var/lib/jenkins/workspace/test/test-reports/test_overrides_zjj05w2p) 2022-11-23T02:16:27.0259587Z 2022-11-23T02:16:27.0259758Z Running test_indexing ... [2022-11-23 02:16:26.985373] 2022-11-23T02:16:27.0260159Z Executing ['/opt/conda/bin/python', '-bb', 'test_indexing.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:16:26.985788] 2022-11-23T02:16:30.5005951Z 2022-11-23T02:16:30.5006759Z Expand the folded group to see the log file of test_indexing 2022-11-23T02:16:30.5010162Z ##[group]PRINTING LOG FILE of test_indexing (/var/lib/jenkins/workspace/test/test-reports/test_indexing_w97jir1m) 2022-11-23T02:16:30.5010690Z Test results will be stored in test-reports/python-unittest/test_indexing 2022-11-23T02:16:30.5010876Z 2022-11-23T02:16:30.5010950Z Running tests... 2022-11-23T02:16:30.5011261Z ---------------------------------------------------------------------- 2022-11-23T02:16:30.5011879Z test_boolean_assignment_value_mismatch_cpu (__main__.NumpyTestsCPU) ... ok (0.015s) 2022-11-23T02:16:30.5012197Z test_boolean_indexing_alldims_cpu (__main__.NumpyTestsCPU) ... ok (0.001s) 2022-11-23T02:16:30.5012498Z test_boolean_indexing_onedim_cpu (__main__.NumpyTestsCPU) ... ok (0.002s) 2022-11-23T02:16:30.5012790Z test_boolean_indexing_twodim_cpu (__main__.NumpyTestsCPU) ... ok (0.002s) 2022-11-23T02:16:30.5013089Z test_boolean_indexing_weirdness_cpu (__main__.NumpyTestsCPU) ... ok (0.010s) 2022-11-23T02:16:30.5013403Z test_boolean_indexing_weirdness_tensors_cpu (__main__.NumpyTestsCPU) ... ok (0.010s) 2022-11-23T02:16:30.5013706Z test_boolean_list_indexing_cpu (__main__.NumpyTestsCPU) ... ok (0.002s) 2022-11-23T02:16:30.5014214Z test_boolean_shape_mismatch_cpu (__main__.NumpyTestsCPU) ... test_indexing.py:1465: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.) 2022-11-23T02:16:30.5014789Z self.assertRaisesRegex(IndexError, 'mask', lambda: arr[index]) 2022-11-23T02:16:30.5015356Z test_indexing.py:1466: UserWarning: indexing with dtype torch.uint8 is now deprecated, please use a dtype torch.bool instead. (Triggered internally at /var/lib/jenkins/workspace/aten/src/ATen/native/IndexingUtils.h:28.) 2022-11-23T02:16:30.5015879Z self.assertRaisesRegex(IndexError, 'mask', lambda: arr[(slice(None), index)]) 2022-11-23T02:16:30.5016119Z ok (0.019s) 2022-11-23T02:16:30.5016392Z test_broadcast_subspace_cpu (__main__.NumpyTestsCPU) ... ok (0.002s) 2022-11-23T02:16:30.5016675Z test_broaderrors_indexing_cpu (__main__.NumpyTestsCPU) ... ok (0.019s) 2022-11-23T02:16:30.5016959Z test_ellipsis_index_cpu (__main__.NumpyTestsCPU) ... ok (0.002s) 2022-11-23T02:16:30.5017242Z test_empty_fancy_index_cpu (__main__.NumpyTestsCPU) ... ok (0.006s) 2022-11-23T02:16:30.5017511Z test_empty_tuple_index_cpu (__main__.NumpyTestsCPU) ... ok (0.001s) 2022-11-23T02:16:30.5017804Z test_everything_returns_views_cpu (__main__.NumpyTestsCPU) ... ok (0.001s) 2022-11-23T02:16:30.5018092Z test_index_is_larger_cpu (__main__.NumpyTestsCPU) ... ok (0.001s) 2022-11-23T02:16:30.5018355Z test_index_no_floats_cpu (__main__.NumpyTestsCPU) ... ok (0.002s) 2022-11-23T02:16:30.5018628Z test_none_index_cpu (__main__.NumpyTestsCPU) ... ok (0.001s) 2022-11-23T02:16:30.5019088Z test_single_bool_index_cpu (__main__.NumpyTestsCPU) ... ok (0.001s) 2022-11-23T02:16:30.5019369Z test_single_int_index_cpu (__main__.NumpyTestsCPU) ... ok (0.002s) 2022-11-23T02:16:30.5019651Z test_trivial_fancy_out_of_bounds_cpu (__main__.NumpyTestsCPU) ... ok (0.025s) 2022-11-23T02:16:30.5019950Z test_advancedindex_big_cpu (__main__.TestIndexingCPU) ... ok (0.001s) 2022-11-23T02:16:30.5020249Z test_advancedindex_cpu_float16 (__main__.TestIndexingCPU) ... ok (0.030s) 2022-11-23T02:16:30.5021010Z test_advancedindex_cpu_float64 (__main__.TestIndexingCPU) ... /opt/conda/lib/python3.7/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T02:16:30.5021512Z warnings.warn(message, UserWarning) 2022-11-23T02:16:30.5021710Z ok (0.168s) 2022-11-23T02:16:30.5022038Z test_basic_advanced_combined_cpu (__main__.TestIndexingCPU) ... ok (0.002s) 2022-11-23T02:16:30.5022334Z test_bool_indices_accumulate_cpu (__main__.TestIndexingCPU) ... ok (0.001s) 2022-11-23T02:16:30.5022628Z test_bool_indices_cpu (__main__.TestIndexingCPU) ... ok (0.002s) 2022-11-23T02:16:30.5022899Z test_byte_mask2d_cpu (__main__.TestIndexingCPU) ... ok (0.001s) 2022-11-23T02:16:30.5023172Z test_byte_mask_accumulate_cpu (__main__.TestIndexingCPU) ... ok (0.001s) 2022-11-23T02:16:30.5023453Z test_byte_mask_cpu (__main__.TestIndexingCPU) ... ok (0.002s) 2022-11-23T02:16:30.5023740Z test_byte_tensor_assignment_cpu (__main__.TestIndexingCPU) ... ok (0.002s) 2022-11-23T02:16:30.5024101Z test_cpu_indices_cpu (__main__.TestIndexingCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:30.5024390Z test_ellipsis_tensor_cpu (__main__.TestIndexingCPU) ... ok (0.001s) 2022-11-23T02:16:30.5024664Z test_empty_index_cpu (__main__.TestIndexingCPU) ... ok (0.001s) 2022-11-23T02:16:30.5024954Z test_empty_ndim_index_bool_cpu (__main__.TestIndexingCPU) ... ok (0.002s) 2022-11-23T02:16:30.5025231Z test_empty_ndim_index_cpu (__main__.TestIndexingCPU) ... ok (0.007s) 2022-11-23T02:16:30.5025507Z test_empty_slice_cpu (__main__.TestIndexingCPU) ... ok (0.001s) 2022-11-23T02:16:30.5025838Z test_gather_take_along_dim_cross_device_cpu_float32 (__main__.TestIndexingCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:30.5026166Z test_getitem_scalars_cpu (__main__.TestIndexingCPU) ... ok (0.011s) 2022-11-23T02:16:30.5026428Z test_index_cpu (__main__.TestIndexingCPU) ... ok (0.027s) 2022-11-23T02:16:30.5026715Z test_index_getitem_copy_bools_slices_cpu (__main__.TestIndexingCPU) ... ok (0.002s) 2022-11-23T02:16:30.5027018Z test_index_ind_dtype_cpu (__main__.TestIndexingCPU) ... ok (0.002s) 2022-11-23T02:16:30.5027320Z test_index_put_accumulate_duplicate_indices_cpu (__main__.TestIndexingCPU) ... ok (0.123s) 2022-11-23T02:16:30.5027662Z test_index_put_accumulate_expanded_values_cpu (__main__.TestIndexingCPU) ... ok (0.003s) 2022-11-23T02:16:30.5027989Z test_index_put_accumulate_large_tensor_cpu (__main__.TestIndexingCPU) ... ok (1.031s) 2022-11-23T02:16:30.5028341Z test_index_put_accumulate_non_contiguous_cpu (__main__.TestIndexingCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:16:30.5028708Z test_index_put_accumulate_with_optional_tensors_cpu (__main__.TestIndexingCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:30.5029056Z test_index_put_src_datatype_cpu_bfloat16 (__main__.TestIndexingCPU) ... ok (0.001s) 2022-11-23T02:16:30.5029454Z test_index_put_src_datatype_cpu_bool (__main__.TestIndexingCPU) ... ok (0.001s) 2022-11-23T02:16:30.5029760Z test_index_put_src_datatype_cpu_complex128 (__main__.TestIndexingCPU) ... ok (0.001s) 2022-11-23T02:16:30.5030082Z test_index_put_src_datatype_cpu_complex64 (__main__.TestIndexingCPU) ... ok (0.001s) 2022-11-23T02:16:30.5030403Z test_index_put_src_datatype_cpu_float32 (__main__.TestIndexingCPU) ... ok (0.001s) 2022-11-23T02:16:30.5030723Z test_index_put_src_datatype_cpu_int64 (__main__.TestIndexingCPU) ... ok (0.001s) 2022-11-23T02:16:30.5031018Z test_index_scalar_with_bool_mask_cpu (__main__.TestIndexingCPU) ... ok (0.002s) 2022-11-23T02:16:30.5031324Z test_index_setitem_bools_slices_cpu (__main__.TestIndexingCPU) ... ok (0.011s) 2022-11-23T02:16:30.5031630Z test_index_src_datatype_cpu_bfloat16 (__main__.TestIndexingCPU) ... ok (0.001s) 2022-11-23T02:16:30.5031931Z test_index_src_datatype_cpu_bool (__main__.TestIndexingCPU) ... ok (0.001s) 2022-11-23T02:16:30.5032220Z test_index_src_datatype_cpu_float32 (__main__.TestIndexingCPU) ... ok (0.001s) 2022-11-23T02:16:30.5032525Z test_index_src_datatype_cpu_int64 (__main__.TestIndexingCPU) ... ok (0.001s) 2022-11-23T02:16:30.5032812Z test_int_assignment_cpu (__main__.TestIndexingCPU) ... ok (0.001s) 2022-11-23T02:16:30.5033084Z test_int_indices2d_cpu (__main__.TestIndexingCPU) ... ok (0.001s) 2022-11-23T02:16:30.5033409Z test_int_indices_broadcast_cpu (__main__.TestIndexingCPU) ... ok (0.001s) 2022-11-23T02:16:30.5033693Z test_int_indices_cpu (__main__.TestIndexingCPU) ... ok (0.001s) 2022-11-23T02:16:30.5033980Z test_invalid_device_cpu (__main__.TestIndexingCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:30.5034281Z test_invalid_index_cpu (__main__.TestIndexingCPU) ... ok (0.001s) 2022-11-23T02:16:30.5034557Z test_jit_indexing_cpu (__main__.TestIndexingCPU) ... ok (0.045s) 2022-11-23T02:16:30.5034845Z test_multiple_bool_indices_cpu (__main__.TestIndexingCPU) ... ok (0.001s) 2022-11-23T02:16:30.5035127Z test_multiple_byte_mask_cpu (__main__.TestIndexingCPU) ... ok (0.001s) 2022-11-23T02:16:30.5035442Z test_multiple_int_cpu (__main__.TestIndexingCPU) ... ok (0.001s) 2022-11-23T02:16:30.5035708Z test_none_cpu (__main__.TestIndexingCPU) ... ok (0.002s) 2022-11-23T02:16:30.5035968Z test_out_of_bound_index_cpu (__main__.TestIndexingCPU) ... ok (0.006s) 2022-11-23T02:16:30.5036262Z test_set_item_to_scalar_tensor_cpu (__main__.TestIndexingCPU) ... ok (0.001s) 2022-11-23T02:16:30.5036560Z test_setitem_expansion_error_cpu (__main__.TestIndexingCPU) ... ok (0.010s) 2022-11-23T02:16:30.5036849Z test_setitem_scalars_cpu (__main__.TestIndexingCPU) ... ok (0.010s) 2022-11-23T02:16:30.5037111Z test_single_int_cpu (__main__.TestIndexingCPU) ... ok (0.001s) 2022-11-23T02:16:30.5037386Z test_step_assignment_cpu (__main__.TestIndexingCPU) ... ok (0.001s) 2022-11-23T02:16:30.5037656Z test_step_cpu (__main__.TestIndexingCPU) ... ok (0.002s) 2022-11-23T02:16:30.5037922Z test_take_along_dim_cpu_float32 (__main__.TestIndexingCPU) ... ok (0.004s) 2022-11-23T02:16:30.5038220Z test_take_along_dim_cpu_int64 (__main__.TestIndexingCPU) ... ok (0.004s) 2022-11-23T02:16:30.5038521Z test_take_along_dim_invalid_cpu_float32 (__main__.TestIndexingCPU) ... ok (0.017s) 2022-11-23T02:16:30.5038820Z test_take_along_dim_invalid_cpu_int64 (__main__.TestIndexingCPU) ... ok (0.017s) 2022-11-23T02:16:30.5039117Z test_variable_slicing_cpu (__main__.TestIndexingCPU) ... ok (0.001s) 2022-11-23T02:16:30.5039505Z test_zero_dim_index_cpu (__main__.TestIndexingCPU) ... ok (0.002s) 2022-11-23T02:16:30.5039669Z 2022-11-23T02:16:30.5039890Z ---------------------------------------------------------------------- 2022-11-23T02:16:30.5040119Z Ran 82 tests in 1.715s 2022-11-23T02:16:30.5040231Z 2022-11-23T02:16:30.5040303Z OK (skipped=5) 2022-11-23T02:16:30.5040408Z 2022-11-23T02:16:30.5040494Z Generating XML reports... 2022-11-23T02:16:30.5040885Z Generated XML report: test-reports/python-unittest/test_indexing/TEST-NumpyTestsCPU-20221123021628.xml 2022-11-23T02:16:30.5041386Z Generated XML report: test-reports/python-unittest/test_indexing/TEST-TestIndexingCPU-20221123021628.xml 2022-11-23T02:16:30.5041613Z 2022-11-23T02:16:30.5041888Z ##[endgroup] 2022-11-23T02:16:30.5042252Z FINISHED PRINTING LOG FILE of test_indexing (/var/lib/jenkins/workspace/test/test-reports/test_indexing_w97jir1m) 2022-11-23T02:16:30.5042462Z 2022-11-23T02:16:30.5042628Z Running test_fake_tensor ... [2022-11-23 02:16:30.501082] 2022-11-23T02:16:30.5043099Z Executing ['/opt/conda/bin/python', '-bb', 'test_fake_tensor.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:16:30.501458] 2022-11-23T02:16:32.8829968Z 2022-11-23T02:16:32.8830535Z Expand the folded group to see the log file of test_fake_tensor 2022-11-23T02:16:32.8831641Z ##[group]PRINTING LOG FILE of test_fake_tensor (/var/lib/jenkins/workspace/test/test-reports/test_fake_tensor_qdqj5yyl) 2022-11-23T02:16:32.8832561Z Test results will be stored in test-reports/python-unittest/test_fake_tensor 2022-11-23T02:16:32.8832884Z 2022-11-23T02:16:32.8832983Z Running tests... 2022-11-23T02:16:32.8833304Z ---------------------------------------------------------------------- 2022-11-23T02:16:32.8833756Z test_aliased_const_write (__main__.FakeTensorConstHandling) ... ok (0.259s) 2022-11-23T02:16:32.8834272Z test_constant_invalidation (__main__.FakeTensorConstHandling) ... ok (0.002s) 2022-11-23T02:16:32.8835219Z test_fake_tensor_batch_norm_cpu (__main__.FakeTensorConstHandling) ... ok (0.020s) 2022-11-23T02:16:32.8835794Z test_fake_tensor_in_intlist_repro (__main__.FakeTensorConstHandling) ... ok (0.003s) 2022-11-23T02:16:32.8836362Z test_inplace_add (__main__.FakeTensorConstHandling) ... ok (0.002s) 2022-11-23T02:16:32.8836926Z test_inplace_view_invalidation (__main__.FakeTensorConstHandling) ... ok (0.002s) 2022-11-23T02:16:32.8837488Z test_shared_storage_invalidation (__main__.FakeTensorConstHandling) ... ok (0.002s) 2022-11-23T02:16:32.8838931Z test_shared_storages (__main__.FakeTensorConstHandling) ... /opt/conda/lib/python3.7/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T02:16:32.8839702Z warnings.warn(message, UserWarning) 2022-11-23T02:16:32.8839900Z ok (0.002s) 2022-11-23T02:16:32.8840128Z test_simple (__main__.FakeTensorConstHandling) ... ok (0.001s) 2022-11-23T02:16:32.8840449Z test_dead_key (__main__.FakeTensorConverterTest) ... ok (0.001s) 2022-11-23T02:16:32.8840776Z test_dead_weak_ref (__main__.FakeTensorConverterTest) ... ok (0.002s) 2022-11-23T02:16:32.8841094Z test_memoized_conversion_from_meta (__main__.FakeTensorConverterTest) ... ok (0.001s) 2022-11-23T02:16:32.8841428Z test_memoized_conversion_to_meta (__main__.FakeTensorConverterTest) ... ok (0.001s) 2022-11-23T02:16:32.8841729Z test_no_active_mode (__main__.FakeTensorConverterTest) ... ok (0.002s) 2022-11-23T02:16:32.8842026Z test_no_ref_cycle (__main__.FakeTensorConverterTest) ... ok (0.001s) 2022-11-23T02:16:32.8842333Z test_separate_mode_error (__main__.FakeTensorConverterTest) ... ok (0.002s) 2022-11-23T02:16:32.8843131Z test_separate_tensor_storages_non_view (__main__.FakeTensorConverterTest) ... /opt/conda/lib/python3.7/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T02:16:32.8843641Z warnings.warn(message, UserWarning) 2022-11-23T02:16:32.8843825Z ok (0.002s) 2022-11-23T02:16:32.8844078Z test_separate_tensor_storages_view (__main__.FakeTensorConverterTest) ... ok (0.001s) 2022-11-23T02:16:32.8844402Z test_like_ops (__main__.FakeTensorOperatorInvariants) ... ok (0.015s) 2022-11-23T02:16:32.8844717Z test_non_kwarg_only_device (__main__.FakeTensorOperatorInvariants) ... ok (0.059s) 2022-11-23T02:16:32.8845061Z test_sparse_new (__main__.FakeTensorOperatorInvariants) ... expected failure (0.003s) 2022-11-23T02:16:32.8845431Z test_tensor_constructors_all_have_kwarg_device (__main__.FakeTensorOperatorInvariants) ... ok (0.178s) 2022-11-23T02:16:32.8846266Z test_fake_tensor_prop_on_nn_module (__main__.FakeTensorPropTest) ... /opt/conda/lib/python3.7/site-packages/torch/fx/_symbolic_trace.py:565: UserWarning: Was not able to add assertion to guarantee correct input value to specialized function. It is up to the user to make sure that your inputs match the inputs you specialized the function with. 2022-11-23T02:16:32.8846799Z f"Was not able to add assertion to guarantee correct input {name} to " 2022-11-23T02:16:32.8847025Z ok (0.022s) 2022-11-23T02:16:32.8847231Z test_basic (__main__.FakeTensorTest) ... ok (0.002s) 2022-11-23T02:16:32.8847490Z test_binary_op_type_promotion (__main__.FakeTensorTest) ... ok (0.002s) 2022-11-23T02:16:32.8847766Z test_constructor (__main__.FakeTensorTest) ... ok (0.001s) 2022-11-23T02:16:32.8848052Z test_cpu_fallback (__main__.FakeTensorTest) ... skip: requires cuda (0.001s) 2022-11-23T02:16:32.8848475Z test_cudnn_rnn (__main__.FakeTensorTest) ... skip: requires cuda (0.002s) 2022-11-23T02:16:32.8848759Z test_data_dependent_operator (__main__.FakeTensorTest) ... ok (0.001s) 2022-11-23T02:16:32.8849534Z test_deepcopy (__main__.FakeTensorTest) ... /opt/conda/lib/python3.7/site-packages/torch/storage.py:315: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. 2022-11-23T02:16:32.8850019Z warnings.warn(message, UserWarning) 2022-11-23T02:16:32.8850213Z ok (0.005s) 2022-11-23T02:16:32.8850423Z test_fake_dispatch_keys (__main__.FakeTensorTest) ... ok (0.002s) 2022-11-23T02:16:32.8850695Z test_fake_grad_copy (__main__.FakeTensorTest) ... ok (0.001s) 2022-11-23T02:16:32.8850963Z test_fake_mode_error (__main__.FakeTensorTest) ... ok (0.001s) 2022-11-23T02:16:32.8851247Z test_fallback_memory_prop (__main__.FakeTensorTest) ... skip: requires cuda (0.001s) 2022-11-23T02:16:32.8851575Z test_from_numpy (__main__.FakeTensorTest) ... ok (0.002s) 2022-11-23T02:16:32.8851861Z test_index_cuda_with_cpu (__main__.FakeTensorTest) ... skip: requires cuda (0.000s) 2022-11-23T02:16:32.8852162Z test_like_constructor (__main__.FakeTensorTest) ... skip: requires cuda (0.001s) 2022-11-23T02:16:32.8852442Z test_mode (__main__.FakeTensorTest) ... ok (0.001s) 2022-11-23T02:16:32.8852694Z test_nan_to_num (__main__.FakeTensorTest) ... ok (0.010s) 2022-11-23T02:16:32.8852961Z test_new (__main__.FakeTensorTest) ... skip: requires cuda (0.001s) 2022-11-23T02:16:32.8853245Z test_non_kwarg_device (__main__.FakeTensorTest) ... skip: requires cuda (0.000s) 2022-11-23T02:16:32.8853535Z test_non_parameter_grad (__main__.FakeTensorTest) ... ok (0.001s) 2022-11-23T02:16:32.8853830Z test_normalize_device (__main__.FakeTensorTest) ... skip: requires cuda (0.000s) 2022-11-23T02:16:32.8854114Z test_parameter_instantiation (__main__.FakeTensorTest) ... ok (0.001s) 2022-11-23T02:16:32.8854399Z test_print_in_fake_mode (__main__.FakeTensorTest) ... ok (0.001s) 2022-11-23T02:16:32.8854663Z test_randperm (__main__.FakeTensorTest) ... ok (0.002s) 2022-11-23T02:16:32.8854921Z test_recursive_invocation (__main__.FakeTensorTest) ... ok (0.001s) 2022-11-23T02:16:32.8855196Z test_scalar_inputs (__main__.FakeTensorTest) ... ok (0.002s) 2022-11-23T02:16:32.8855472Z test_setitem (__main__.FakeTensorTest) ... skip: requires cuda (0.000s) 2022-11-23T02:16:32.8855778Z test_shape_take_not_device (__main__.FakeTensorTest) ... skip: requires cuda (0.000s) 2022-11-23T02:16:32.8856064Z test_throw (__main__.FakeTensorTest) ... skip: requires cuda (0.000s) 2022-11-23T02:16:32.8856348Z test_type_as (__main__.FakeTensorTest) ... skip: requires cuda (0.000s) 2022-11-23T02:16:32.8856634Z test_zero_dim (__main__.FakeTensorTest) ... skip: requires cuda (0.000s) 2022-11-23T02:16:32.8856793Z 2022-11-23T02:16:32.8856983Z ---------------------------------------------------------------------- 2022-11-23T02:16:32.8857227Z Ran 53 tests in 0.632s 2022-11-23T02:16:32.8857341Z 2022-11-23T02:16:32.8857435Z OK (skipped=13, expected failures=1) 2022-11-23T02:16:32.8857567Z 2022-11-23T02:16:32.8857651Z Generating XML reports... 2022-11-23T02:16:32.8858074Z Generated XML report: test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorConstHandling-20221123021631.xml 2022-11-23T02:16:32.8858627Z Generated XML report: test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorConverterTest-20221123021631.xml 2022-11-23T02:16:32.8859371Z Generated XML report: test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorOperatorInvariants-20221123021631.xml 2022-11-23T02:16:32.8859916Z Generated XML report: test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorPropTest-20221123021631.xml 2022-11-23T02:16:32.8860408Z Generated XML report: test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorTest-20221123021631.xml 2022-11-23T02:16:32.8860634Z 2022-11-23T02:16:32.8860887Z ##[endgroup] 2022-11-23T02:16:32.8861268Z FINISHED PRINTING LOG FILE of test_fake_tensor (/var/lib/jenkins/workspace/test/test-reports/test_fake_tensor_qdqj5yyl) 2022-11-23T02:16:32.8861471Z 2022-11-23T02:16:32.8861634Z Running test_jit_disabled ... [2022-11-23 02:16:32.883385] 2022-11-23T02:16:32.8862164Z Executing ['/opt/conda/bin/python', '-bb', 'test_jit_disabled.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:16:32.883840] 2022-11-23T02:16:34.8579608Z 2022-11-23T02:16:34.8580198Z Expand the folded group to see the log file of test_jit_disabled 2022-11-23T02:16:34.8581088Z ##[group]PRINTING LOG FILE of test_jit_disabled (/var/lib/jenkins/workspace/test/test-reports/test_jit_disabled_r7wq417b) 2022-11-23T02:16:34.8581636Z Test results will be stored in test-reports/python-unittest/test_jit_disabled 2022-11-23T02:16:34.8581823Z 2022-11-23T02:16:34.8581898Z Running tests... 2022-11-23T02:16:34.8582207Z ---------------------------------------------------------------------- 2022-11-23T02:16:34.8582722Z test_attribute (__main__.TestJitDisabled) ... ok (0.301s) 2022-11-23T02:16:34.8582983Z test_recursive_script (__main__.TestJitDisabled) ... ok (0.041s) 2022-11-23T02:16:34.8583275Z test_script_module_construction (__main__.TestJitDisabled) ... ok (0.041s) 2022-11-23T02:16:34.8583483Z 2022-11-23T02:16:34.8583762Z ---------------------------------------------------------------------- 2022-11-23T02:16:34.8584110Z Ran 3 tests in 0.384s 2022-11-23T02:16:34.8584230Z 2022-11-23T02:16:34.8584292Z OK 2022-11-23T02:16:34.8584384Z 2022-11-23T02:16:34.8584469Z Generating XML reports... 2022-11-23T02:16:34.8584897Z Generated XML report: test-reports/python-unittest/test_jit_disabled/TEST-TestJitDisabled-20221123021634.xml 2022-11-23T02:16:34.8585117Z 2022-11-23T02:16:34.8585362Z ##[endgroup] 2022-11-23T02:16:34.8585752Z FINISHED PRINTING LOG FILE of test_jit_disabled (/var/lib/jenkins/workspace/test/test-reports/test_jit_disabled_r7wq417b) 2022-11-23T02:16:34.8585975Z 2022-11-23T02:16:34.8586172Z Running test_multiprocessing_spawn ... [2022-11-23 02:16:34.858243] 2022-11-23T02:16:34.8587973Z Executing ['/opt/conda/bin/python', '-bb', 'test_multiprocessing_spawn.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:16:34.858614] 2022-11-23T02:16:36.7305542Z 2022-11-23T02:16:36.7306169Z Expand the folded group to see the log file of test_multiprocessing_spawn 2022-11-23T02:16:36.7307270Z ##[group]PRINTING LOG FILE of test_multiprocessing_spawn (/var/lib/jenkins/workspace/test/test-reports/test_multiprocessing_spawn_ro_bbnt2) 2022-11-23T02:16:36.7307850Z Test results will be stored in test-reports/python-unittest/test_multiprocessing_spawn 2022-11-23T02:16:36.7308046Z 2022-11-23T02:16:36.7308120Z Running tests... 2022-11-23T02:16:36.7308416Z ---------------------------------------------------------------------- 2022-11-23T02:16:36.7308706Z test_errors_pickleable (__main__.ErrorTest) ... ok (0.253s) 2022-11-23T02:16:36.7308975Z test_exception_all (__main__.ForkTest) ... ok (0.056s) 2022-11-23T02:16:36.7309965Z test_exception_single (__main__.ForkTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/75409 for platform(s) asan, linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T02:16:36.7311161Z test_first_argument_index (__main__.ForkTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/76009 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T02:16:36.7312199Z test_success (__main__.ForkTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/76061 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s) 2022-11-23T02:16:36.7313633Z test_success_first_then_exception (__main__.ForkTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/73340 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T02:16:36.7314806Z test_success_non_blocking (__main__.ForkTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/81280 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T02:16:36.7315853Z test_terminate_exit (__main__.ForkTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/81389 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T02:16:36.7316975Z test_terminate_signal (__main__.ForkTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/72927 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T02:16:36.7318018Z test_exception_all (__main__.SpawnTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/74223 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s) 2022-11-23T02:16:36.7319064Z test_exception_raises (__main__.SpawnTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/83499 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s) 2022-11-23T02:16:36.7320116Z test_exception_single (__main__.SpawnTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/78982 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.000s) 2022-11-23T02:16:36.7321179Z test_first_argument_index (__main__.SpawnTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/73266 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T02:16:36.7321711Z test_signal_raises (__main__.SpawnTest) ... ok (0.009s) 2022-11-23T02:16:36.7322462Z test_success (__main__.SpawnTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/72298 for allplatform(s) . If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T02:16:36.7323516Z test_success_first_then_exception (__main__.SpawnTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/72625 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T02:16:36.7324619Z test_success_non_blocking (__main__.SpawnTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/72926 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T02:16:36.7325669Z test_terminate_exit (__main__.SpawnTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/72624 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T02:16:36.7326719Z test_terminate_signal (__main__.SpawnTest) ... skip: Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/73341 for platform(s) linux. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests. (0.001s) 2022-11-23T02:16:36.7327167Z 2022-11-23T02:16:36.7327373Z ---------------------------------------------------------------------- 2022-11-23T02:16:36.7327621Z Ran 19 tests in 0.328s 2022-11-23T02:16:36.7327726Z 2022-11-23T02:16:36.7327799Z OK (skipped=16) 2022-11-23T02:16:36.7327910Z 2022-11-23T02:16:36.7327997Z Generating XML reports... 2022-11-23T02:16:36.7328411Z Generated XML report: test-reports/python-unittest/test_multiprocessing_spawn/TEST-ErrorTest-20221123021636.xml 2022-11-23T02:16:36.7328913Z Generated XML report: test-reports/python-unittest/test_multiprocessing_spawn/TEST-ForkTest-20221123021636.xml 2022-11-23T02:16:36.7329420Z Generated XML report: test-reports/python-unittest/test_multiprocessing_spawn/TEST-SpawnTest-20221123021636.xml 2022-11-23T02:16:36.7329651Z 2022-11-23T02:16:36.7329912Z ##[endgroup] 2022-11-23T02:16:36.7330328Z FINISHED PRINTING LOG FILE of test_multiprocessing_spawn (/var/lib/jenkins/workspace/test/test-reports/test_multiprocessing_spawn_ro_bbnt2) 2022-11-23T02:16:36.7330572Z 2022-11-23T02:16:36.7330751Z Running test_prims ... [2022-11-23 02:16:36.730862] 2022-11-23T02:16:36.7331211Z Executing ['/opt/conda/bin/python', '-bb', 'test_prims.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:16:36.731223] 2022-11-23T02:16:39.7690623Z 2022-11-23T02:16:39.7691156Z Expand the folded group to see the log file of test_prims 2022-11-23T02:16:39.7692257Z ##[group]PRINTING LOG FILE of test_prims (/var/lib/jenkins/workspace/test/test-reports/test_prims_qoez9l6l) 2022-11-23T02:16:39.7693124Z Test results will be stored in test-reports/python-unittest/test_prims 2022-11-23T02:16:39.7693445Z 2022-11-23T02:16:39.7693579Z Running tests... 2022-11-23T02:16:39.7694135Z ---------------------------------------------------------------------- 2022-11-23T02:16:39.7694727Z test_decomposition_method_vararg_ones_cpu_float32 (__main__.TestDecompCPU) ... ok (0.028s) 2022-11-23T02:16:39.7695358Z test_decomposition_method_vararg_permute_cpu_float32 (__main__.TestDecompCPU) ... ok (0.007s) 2022-11-23T02:16:39.7695999Z test_decomposition_type_promotion_nvprim_amp_cpu_float16 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:16:39.7696669Z test_decomposition_type_promotion_nvprim_amp_cpu_float32 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:16:39.7697395Z test_masked_fill_decomposition_under_nvprim_context_cpu_float16 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:39.7698121Z test_masked_fill_decomposition_under_nvprim_context_cpu_float32 (__main__.TestDecompCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:39.7698595Z test_mul_complex (__main__.TestPrimsBasic) ... ok (0.001s) 2022-11-23T02:16:39.7699051Z test_torch_ops (__main__.TestPrimsBasic) ... ok (0.002s) 2022-11-23T02:16:39.7699334Z test_aten_overload_to_prims_cpu (__main__.TestPrimsCPU) ... ok (0.008s) 2022-11-23T02:16:39.7699680Z test_batch_norm_backward_nvprims_cpu_float16 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:16:39.7700394Z test_batch_norm_backward_nvprims_cpu_float32 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:16:39.7701230Z test_broadcast_in_dim_cpu_float32 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:16:39.7701832Z test_broadcast_in_dim_sum_cpu_float32 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:39.7702370Z test_cbrt_prim_cpu_float64 (__main__.TestPrimsCPU) ... ok (0.010s) 2022-11-23T02:16:39.7702847Z test_cbrt_prim_cpu_int64 (__main__.TestPrimsCPU) ... ok (0.010s) 2022-11-23T02:16:39.7703367Z test_cpu_tensor_cpu_float16 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:16:39.7703924Z test_cpu_tensor_cpu_float32 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:16:39.7704597Z test_cudnn_batch_norm_nvprims_cpu_float32 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:16:39.7705133Z test_cudnn_batch_norm_nvprims_cpu_float64 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:16:39.7705536Z test_memory_format_strides_cpu_float32 (__main__.TestPrimsCPU) ... ok (0.019s) 2022-11-23T02:16:39.7705867Z test_native_batch_norm_nvprims_cpu_float32 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:16:39.7706289Z test_native_batch_norm_nvprims_cpu_float64 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:16:39.7706602Z test_nvfuser_capability_context_cpu (__main__.TestPrimsCPU) ... ok (0.060s) 2022-11-23T02:16:39.7706989Z test_nvfuser_constant_tensors_cpu (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:39.7707317Z test_nvfuser_empty_fusion_cpu (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:39.7707723Z test_nvfuser_executor_cached_noncontiguous_cpu (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:39.7708081Z test_nvfuser_executor_parameters_cpu (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:39.7708496Z test_nvfuser_executor_partitioned_cpu (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:39.7708866Z test_nvfuser_executor_partitioned_no_partitions_error_cpu (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:39.7709359Z test_nvfuser_impl_is_used_cpu (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:39.7709684Z test_nvfuser_no_args_cpu (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:39.7710078Z test_nvfuser_rand_like_fusion_cpu (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:39.7710414Z test_nvprim_convert_element_type_cpu_float16 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:39.7710840Z test_nvprim_convert_element_type_cpu_uint8 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:39.7711149Z test_nvprims_cpu (__main__.TestPrimsCPU) ... ok (0.004s) 2022-11-23T02:16:39.7711445Z test_nvprims_view_cpu_float16 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:16:39.7711821Z test_nvprims_view_cpu_float32 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:16:39.7712158Z test_nvprims_view_partitioner_cpu_float16 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:39.7712577Z test_nvprims_view_partitioner_cpu_float32 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:39.7713020Z test_partitioner_tuple_output_cpu (__main__.TestPrimsCPU) ... ok (0.008s) 2022-11-23T02:16:39.7713383Z test_pytree_input_output_cpu_float32 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:39.7713701Z test_reshape_view_method_cpu_float32 (__main__.TestPrimsCPU) ... ok (0.002s) 2022-11-23T02:16:39.7714104Z test_silu_backward_no_filled_tensor_cpu_float32 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.002s) 2022-11-23T02:16:39.7714459Z test_skip_ops_nvfuser_capability_mode_cpu (__main__.TestPrimsCPU) ... ok (0.009s) 2022-11-23T02:16:39.7714887Z test_skip_ops_nvfuser_prims_mode_cpu (__main__.TestPrimsCPU) ... ok (0.004s) 2022-11-23T02:16:39.7715207Z test_var_correction_0_cpu_float32 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:39.7715610Z test_var_correction_1_cpu_float32 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:39.7715956Z test_var_mean_correction_0_keepdim_False_cpu_float16 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:39.7716398Z test_var_mean_correction_0_keepdim_False_cpu_float32 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:39.7716812Z test_var_mean_correction_0_keepdim_True_cpu_float16 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:39.7717250Z test_var_mean_correction_0_keepdim_True_cpu_float32 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:39.7717603Z test_var_mean_correction_1_keepdim_False_cpu_float16 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:39.7718038Z test_var_mean_correction_1_keepdim_False_cpu_float32 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:39.7718467Z test_var_mean_correction_1_keepdim_True_cpu_float16 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:39.7718905Z test_var_mean_correction_1_keepdim_True_cpu_float32 (__main__.TestPrimsCPU) ... skip: Only runs on cuda (0.001s) 2022-11-23T02:16:39.7719287Z test_constant_pad_nd_memory_format_cpu_float32 (__main__.TestRefsCPU) ... ok (0.003s) 2022-11-23T02:16:39.7719478Z 2022-11-23T02:16:39.7719865Z ---------------------------------------------------------------------- 2022-11-23T02:16:39.7720166Z Ran 56 tests in 0.237s 2022-11-23T02:16:39.7720279Z 2022-11-23T02:16:39.7720353Z OK (skipped=41) 2022-11-23T02:16:39.7720448Z 2022-11-23T02:16:39.7720532Z Generating XML reports... 2022-11-23T02:16:39.7720947Z Generated XML report: test-reports/python-unittest/test_prims/TEST-TestDecompCPU-20221123021639.xml 2022-11-23T02:16:39.7721443Z Generated XML report: test-reports/python-unittest/test_prims/TEST-TestPrimsBasic-20221123021639.xml 2022-11-23T02:16:39.7721914Z Generated XML report: test-reports/python-unittest/test_prims/TEST-TestPrimsCPU-20221123021639.xml 2022-11-23T02:16:39.7722385Z Generated XML report: test-reports/python-unittest/test_prims/TEST-TestRefsCPU-20221123021639.xml 2022-11-23T02:16:39.7722600Z 2022-11-23T02:16:39.7722890Z ##[endgroup] 2022-11-23T02:16:39.7723245Z FINISHED PRINTING LOG FILE of test_prims (/var/lib/jenkins/workspace/test/test-reports/test_prims_qoez9l6l) 2022-11-23T02:16:39.7723453Z 2022-11-23T02:16:39.7723649Z Running test_cpp_extensions_aot_ninja ... [2022-11-23 02:16:39.769509] 2022-11-23T02:16:41.3252468Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T02:16:41.4881568Z running install 2022-11-23T02:16:41.4882640Z /opt/conda/lib/python3.7/site-packages/setuptools/command/install.py:37: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. 2022-11-23T02:16:41.4883116Z setuptools.SetuptoolsDeprecationWarning, 2022-11-23T02:16:41.4985022Z running build 2022-11-23T02:16:41.4985214Z running build_py 2022-11-23T02:16:41.5043431Z creating build 2022-11-23T02:16:41.5044054Z creating build/lib.linux-x86_64-cpython-37 2022-11-23T02:16:41.5044677Z creating build/lib.linux-x86_64-cpython-37/torch_test_cpp_extension 2022-11-23T02:16:41.5045112Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-37/torch_test_cpp_extension 2022-11-23T02:16:41.5045903Z running build_ext 2022-11-23T02:16:41.5450381Z building 'torch_test_cpp_extension.cpp' extension 2022-11-23T02:16:41.5450815Z creating /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-37 2022-11-23T02:16:41.5814623Z Emitting ninja build file /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-37/build.ninja... 2022-11-23T02:16:41.5815662Z Compiling objects... 2022-11-23T02:16:41.5816071Z Using envvar MAX_JOBS (6) as the number of workers... 2022-11-23T02:16:42.7700307Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-37/extension.o.d -pthread -B /opt/conda/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/opt/conda/lib/python3.7/site-packages/torch/include -I/opt/conda/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.7/site-packages/torch/include/TH -I/opt/conda/lib/python3.7/site-packages/torch/include/THC -I/var/lib/jenkins/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/include/python3.7m -c -c /var/lib/jenkins/workspace/test/cpp_extensions/extension.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-37/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=cpp -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++14 2022-11-23T02:16:42.7703905Z cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ 2022-11-23T02:16:42.7704407Z In file included from /opt/conda/lib/python3.7/site-packages/torch/include/torch/csrc/Exceptions.h:14:0, 2022-11-23T02:16:42.7704901Z from /opt/conda/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/python.h:11, 2022-11-23T02:16:42.7705332Z from /opt/conda/lib/python3.7/site-packages/torch/include/torch/extension.h:6, 2022-11-23T02:16:42.7705641Z from /var/lib/jenkins/workspace/test/cpp_extensions/extension.cpp:1: 2022-11-23T02:16:42.7706258Z /opt/conda/lib/python3.7/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘class pybind11::class_’: 2022-11-23T02:16:42.7706655Z /var/lib/jenkins/workspace/test/cpp_extensions/extension.cpp:36:53: required from here 2022-11-23T02:16:42.7707388Z /opt/conda/lib/python3.7/site-packages/torch/include/pybind11/pybind11.h:1479:7: warning: ‘pybind11::class_’ declared with greater visibility than the type of its field ‘pybind11::class_::’ [-Wattributes] 2022-11-23T02:16:42.7707831Z class class_ : public detail::generic_type { 2022-11-23T02:16:42.7708032Z ^~~~~~ 2022-11-23T02:16:42.7708617Z /opt/conda/lib/python3.7/site-packages/torch/include/pybind11/pybind11.h:1479:7: warning: ‘pybind11::class_’ declared with greater visibility than its base ‘pybind11::detail::generic_type’ [-Wattributes] 2022-11-23T02:16:42.7803582Z g++ -pthread -B /opt/conda/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/compiler_compat -L/opt/conda/lib -Wl,-rpath=/opt/conda/lib -Wl,--no-as-needed -Wl,--sysroot=/ /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-37/extension.o -L/opt/conda/lib/python3.7/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-37/torch_test_cpp_extension/cpp.cpython-37m-x86_64-linux-gnu.so 2022-11-23T02:16:43.0691379Z building 'torch_test_cpp_extension.ort' extension 2022-11-23T02:16:43.1068581Z Emitting ninja build file /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-37/build.ninja... 2022-11-23T02:16:43.1078883Z Compiling objects... 2022-11-23T02:16:43.1079320Z Using envvar MAX_JOBS (6) as the number of workers... 2022-11-23T02:16:44.2197337Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-37/ort_extension.o.d -pthread -B /opt/conda/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/opt/conda/lib/python3.7/site-packages/torch/include -I/opt/conda/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.7/site-packages/torch/include/TH -I/opt/conda/lib/python3.7/site-packages/torch/include/THC -I/var/lib/jenkins/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/include/python3.7m -c -c /var/lib/jenkins/workspace/test/cpp_extensions/ort_extension.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-37/ort_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=ort -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++14 2022-11-23T02:16:44.2198775Z cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ 2022-11-23T02:16:44.2251242Z g++ -pthread -B /opt/conda/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/compiler_compat -L/opt/conda/lib -Wl,-rpath=/opt/conda/lib -Wl,--no-as-needed -Wl,--sysroot=/ /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-37/ort_extension.o -L/opt/conda/lib/python3.7/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-37/torch_test_cpp_extension/ort.cpython-37m-x86_64-linux-gnu.so 2022-11-23T02:16:44.5085815Z building 'torch_test_cpp_extension.rng' extension 2022-11-23T02:16:44.5463347Z Emitting ninja build file /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-37/build.ninja... 2022-11-23T02:16:44.5470279Z Compiling objects... 2022-11-23T02:16:44.5470523Z Using envvar MAX_JOBS (6) as the number of workers... 2022-11-23T02:16:45.7584883Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-37/rng_extension.o.d -pthread -B /opt/conda/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/opt/conda/lib/python3.7/site-packages/torch/include -I/opt/conda/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.7/site-packages/torch/include/TH -I/opt/conda/lib/python3.7/site-packages/torch/include/THC -I/var/lib/jenkins/workspace/test/cpp_extensions/self_compiler_include_dirs_test -I/opt/conda/include/python3.7m -c -c /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-37/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=rng -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++14 2022-11-23T02:16:45.7586395Z cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ 2022-11-23T02:16:45.7586943Z In file included from /opt/conda/lib/python3.7/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8:0, 2022-11-23T02:16:45.7587435Z from /opt/conda/lib/python3.7/site-packages/torch/include/ATen/cpu/vec/vec.h:6, 2022-11-23T02:16:45.7587844Z from /opt/conda/lib/python3.7/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2022-11-23T02:16:45.7588360Z from /opt/conda/lib/python3.7/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:8, 2022-11-23T02:16:45.7588732Z from /var/lib/jenkins/workspace/test/cpp_extensions/rng_extension.cpp:6: 2022-11-23T02:16:45.7589308Z /opt/conda/lib/python3.7/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1008:0: warning: ignoring #pragma unroll [-Wunknown-pragmas] 2022-11-23T02:16:45.7589651Z # pragma unroll 2022-11-23T02:16:45.7589818Z 2022-11-23T02:16:45.7641070Z g++ -pthread -B /opt/conda/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/compiler_compat -L/opt/conda/lib -Wl,-rpath=/opt/conda/lib -Wl,--no-as-needed -Wl,--sysroot=/ /var/lib/jenkins/workspace/test/cpp_extensions/build/temp.linux-x86_64-cpython-37/rng_extension.o -L/opt/conda/lib/python3.7/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-37/torch_test_cpp_extension/rng.cpython-37m-x86_64-linux-gnu.so 2022-11-23T02:16:46.0651619Z running install_lib 2022-11-23T02:16:46.0706736Z creating install 2022-11-23T02:16:46.0707292Z creating install/opt 2022-11-23T02:16:46.0707630Z creating install/opt/conda 2022-11-23T02:16:46.0707954Z creating install/opt/conda/lib 2022-11-23T02:16:46.0708331Z creating install/opt/conda/lib/python3.7 2022-11-23T02:16:46.0708978Z creating install/opt/conda/lib/python3.7/site-packages 2022-11-23T02:16:46.0709696Z creating install/opt/conda/lib/python3.7/site-packages/torch_test_cpp_extension 2022-11-23T02:16:46.0710567Z copying build/lib.linux-x86_64-cpython-37/torch_test_cpp_extension/__init__.py -> ./install/opt/conda/lib/python3.7/site-packages/torch_test_cpp_extension 2022-11-23T02:16:46.0711626Z copying build/lib.linux-x86_64-cpython-37/torch_test_cpp_extension/cpp.cpython-37m-x86_64-linux-gnu.so -> ./install/opt/conda/lib/python3.7/site-packages/torch_test_cpp_extension 2022-11-23T02:16:46.0773692Z copying build/lib.linux-x86_64-cpython-37/torch_test_cpp_extension/ort.cpython-37m-x86_64-linux-gnu.so -> ./install/opt/conda/lib/python3.7/site-packages/torch_test_cpp_extension 2022-11-23T02:16:46.0837100Z copying build/lib.linux-x86_64-cpython-37/torch_test_cpp_extension/rng.cpython-37m-x86_64-linux-gnu.so -> ./install/opt/conda/lib/python3.7/site-packages/torch_test_cpp_extension 2022-11-23T02:16:46.0907097Z byte-compiling ./install/opt/conda/lib/python3.7/site-packages/torch_test_cpp_extension/__init__.py to __init__.cpython-37.pyc 2022-11-23T02:16:46.0907622Z running install_egg_info 2022-11-23T02:16:46.1025928Z running egg_info 2022-11-23T02:16:46.1026485Z creating torch_test_cpp_extension.egg-info 2022-11-23T02:16:46.1067649Z writing torch_test_cpp_extension.egg-info/PKG-INFO 2022-11-23T02:16:46.1070362Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt 2022-11-23T02:16:46.1073426Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt 2022-11-23T02:16:46.1074302Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2022-11-23T02:16:46.1118712Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2022-11-23T02:16:46.1125227Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2022-11-23T02:16:46.1126120Z Copying torch_test_cpp_extension.egg-info to ./install/opt/conda/lib/python3.7/site-packages/torch_test_cpp_extension-0.0.0-py3.7.egg-info 2022-11-23T02:16:46.1130423Z running install_scripts 2022-11-23T02:16:47.8472406Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T02:16:47.8718238Z running install 2022-11-23T02:16:47.8719584Z /opt/conda/lib/python3.7/site-packages/setuptools/command/install.py:37: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. 2022-11-23T02:16:47.8720397Z setuptools.SetuptoolsDeprecationWarning, 2022-11-23T02:16:47.8819443Z running build 2022-11-23T02:16:47.8819734Z running build_ext 2022-11-23T02:16:47.9203816Z building 'no_python_abi_suffix_test' extension 2022-11-23T02:16:47.9204356Z creating /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build 2022-11-23T02:16:47.9205222Z creating /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-37 2022-11-23T02:16:47.9560309Z Emitting ninja build file /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-37/build.ninja... 2022-11-23T02:16:47.9561145Z Compiling objects... 2022-11-23T02:16:47.9561548Z Using envvar MAX_JOBS (6) as the number of workers... 2022-11-23T02:16:48.0180862Z [1/1] c++ -MMD -MF /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-37/no_python_abi_suffix_test.o.d -pthread -B /opt/conda/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/opt/conda/lib/python3.7/site-packages/torch/include -I/opt/conda/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.7/site-packages/torch/include/TH -I/opt/conda/lib/python3.7/site-packages/torch/include/THC -I/opt/conda/include/python3.7m -c -c /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/no_python_abi_suffix_test.cpp -o /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-37/no_python_abi_suffix_test.o -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_gcc"' '-DPYBIND11_STDLIB="_libstdcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1011"' -DTORCH_EXTENSION_NAME=no_python_abi_suffix_test -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++14 2022-11-23T02:16:48.0182460Z cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ 2022-11-23T02:16:48.0228123Z creating build/lib.linux-x86_64-cpython-37 2022-11-23T02:16:48.0230342Z g++ -pthread -B /opt/conda/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/compiler_compat -L/opt/conda/lib -Wl,-rpath=/opt/conda/lib -Wl,--no-as-needed -Wl,--sysroot=/ /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-37/no_python_abi_suffix_test.o -L/opt/conda/lib/python3.7/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-37/no_python_abi_suffix_test.so 2022-11-23T02:16:48.1897745Z running install_lib 2022-11-23T02:16:48.1951163Z creating install 2022-11-23T02:16:48.1951470Z creating install/opt 2022-11-23T02:16:48.1951825Z creating install/opt/conda 2022-11-23T02:16:48.1952212Z creating install/opt/conda/lib 2022-11-23T02:16:48.1952579Z creating install/opt/conda/lib/python3.7 2022-11-23T02:16:48.1953039Z creating install/opt/conda/lib/python3.7/site-packages 2022-11-23T02:16:48.1953500Z copying build/lib.linux-x86_64-cpython-37/no_python_abi_suffix_test.so -> ./install/opt/conda/lib/python3.7/site-packages 2022-11-23T02:16:48.1959645Z running install_egg_info 2022-11-23T02:16:48.2080842Z running egg_info 2022-11-23T02:16:48.2081153Z creating no_python_abi_suffix_test.egg-info 2022-11-23T02:16:48.2121946Z writing no_python_abi_suffix_test.egg-info/PKG-INFO 2022-11-23T02:16:48.2124394Z writing dependency_links to no_python_abi_suffix_test.egg-info/dependency_links.txt 2022-11-23T02:16:48.2126746Z writing top-level names to no_python_abi_suffix_test.egg-info/top_level.txt 2022-11-23T02:16:48.2127867Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2022-11-23T02:16:48.2170179Z reading manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2022-11-23T02:16:48.2175901Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2022-11-23T02:16:48.2176953Z Copying no_python_abi_suffix_test.egg-info to ./install/opt/conda/lib/python3.7/site-packages/no_python_abi_suffix_test-0.0.0-py3.7.egg-info 2022-11-23T02:16:48.2180935Z running install_scripts 2022-11-23T02:16:48.5317203Z Executing ['/opt/conda/bin/python', '-bb', 'test_cpp_extensions_aot_ninja.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:16:48.531343] 2022-11-23T02:16:50.8900797Z 2022-11-23T02:16:50.8901270Z Expand the folded group to see the log file of test_cpp_extensions_aot_ninja 2022-11-23T02:16:50.8902414Z ##[group]PRINTING LOG FILE of test_cpp_extensions_aot_ninja (/var/lib/jenkins/workspace/test/test-reports/test_cpp_extensions_aot_ninja_5jupm3k0) 2022-11-23T02:16:50.8903465Z Test results will be stored in test-reports/python-unittest/test_cpp_extensions_aot_ninja 2022-11-23T02:16:50.8904183Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T02:16:50.8904401Z 2022-11-23T02:16:50.8904487Z Running tests... 2022-11-23T02:16:50.8904808Z ---------------------------------------------------------------------- 2022-11-23T02:16:50.8905110Z test_backward (__main__.TestCppExtensionAOT) ... ok (0.014s) 2022-11-23T02:16:50.8905433Z test_cublas_extension (__main__.TestCppExtensionAOT) ... skip: CUDA not found (0.001s) 2022-11-23T02:16:50.8905754Z test_cuda_dlink_libs (__main__.TestCppExtensionAOT) ... skip: CUDA not found (0.001s) 2022-11-23T02:16:50.8906085Z test_cuda_extension (__main__.TestCppExtensionAOT) ... skip: CUDA not found (0.000s) 2022-11-23T02:16:50.8906777Z test_cusolver_extension (__main__.TestCppExtensionAOT) ... skip: CUDA not found (0.000s) 2022-11-23T02:16:50.8907101Z test_extension_function (__main__.TestCppExtensionAOT) ... ok (0.001s) 2022-11-23T02:16:50.8907410Z test_extension_module (__main__.TestCppExtensionAOT) ... ok (0.001s) 2022-11-23T02:16:50.8907742Z test_no_python_abi_suffix_sets_the_correct_library_name (__main__.TestCppExtensionAOT) ... ok (0.001s) 2022-11-23T02:16:50.8908065Z test_optional (__main__.TestCppExtensionAOT) ... ok (0.001s) 2022-11-23T02:16:50.8908310Z test_add (__main__.TestORTTensor) ... ok (0.003s) 2022-11-23T02:16:50.8908654Z test_conv_backend_override (__main__.TestORTTensor) ... ok (0.002s) 2022-11-23T02:16:50.8908931Z test_unregistered (__main__.TestORTTensor) ... ok (0.006s) 2022-11-23T02:16:50.8909251Z test_zeros (__main__.TestORTTensor) ... ok (0.002s) 2022-11-23T02:16:50.8909510Z test_rng (__main__.TestRNGExtension) ... ok (0.003s) 2022-11-23T02:16:50.8909799Z test_torch_library (__main__.TestTorchLibrary) ... skip: CUDA not found (0.001s) 2022-11-23T02:16:50.8909972Z 2022-11-23T02:16:50.8910192Z ---------------------------------------------------------------------- 2022-11-23T02:16:50.8910425Z Ran 15 tests in 0.036s 2022-11-23T02:16:50.8910539Z 2022-11-23T02:16:50.8910614Z OK (skipped=5) 2022-11-23T02:16:50.8910722Z 2022-11-23T02:16:50.8910808Z Generating XML reports... 2022-11-23T02:16:50.8911256Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_aot_ninja/TEST-TestCppExtensionAOT-20221123021650.xml 2022-11-23T02:16:50.8911816Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_aot_ninja/TEST-TestORTTensor-20221123021650.xml 2022-11-23T02:16:50.8912368Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_aot_ninja/TEST-TestRNGExtension-20221123021650.xml 2022-11-23T02:16:50.8912915Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_aot_ninja/TEST-TestTorchLibrary-20221123021650.xml 2022-11-23T02:16:50.8913144Z 2022-11-23T02:16:50.8913410Z ##[endgroup] 2022-11-23T02:16:50.8913845Z FINISHED PRINTING LOG FILE of test_cpp_extensions_aot_ninja (/var/lib/jenkins/workspace/test/test-reports/test_cpp_extensions_aot_ninja_5jupm3k0) 2022-11-23T02:16:50.8914088Z 2022-11-23T02:16:50.8914295Z Running test_cpp_extensions_aot_no_ninja ... [2022-11-23 02:16:50.890503] 2022-11-23T02:16:52.3441582Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T02:16:52.5045873Z running install 2022-11-23T02:16:52.5046934Z /opt/conda/lib/python3.7/site-packages/setuptools/command/install.py:37: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. 2022-11-23T02:16:52.5047392Z setuptools.SetuptoolsDeprecationWarning, 2022-11-23T02:16:52.5150246Z running build 2022-11-23T02:16:52.5150446Z running build_py 2022-11-23T02:16:52.5196907Z creating build 2022-11-23T02:16:52.5197342Z creating build/lib.linux-x86_64-cpython-37 2022-11-23T02:16:52.5197696Z creating build/lib.linux-x86_64-cpython-37/torch_test_cpp_extension 2022-11-23T02:16:52.5198188Z copying torch_test_cpp_extension/__init__.py -> build/lib.linux-x86_64-cpython-37/torch_test_cpp_extension 2022-11-23T02:16:52.5199559Z running build_ext 2022-11-23T02:16:52.5212041Z building 'torch_test_cpp_extension.cpp' extension 2022-11-23T02:16:52.5212603Z creating build/temp.linux-x86_64-cpython-37 2022-11-23T02:16:52.5215616Z gcc -pthread -B /opt/conda/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/opt/conda/lib/python3.7/site-packages/torch/include -I/opt/conda/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.7/site-packages/torch/include/TH -I/opt/conda/lib/python3.7/site-packages/torch/include/THC -Iself_compiler_include_dirs_test -I/opt/conda/include/python3.7m -c extension.cpp -o build/temp.linux-x86_64-cpython-37/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -DTORCH_EXTENSION_NAME=cpp -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++14 2022-11-23T02:16:53.5087176Z cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ 2022-11-23T02:16:53.5087690Z In file included from /opt/conda/lib/python3.7/site-packages/torch/include/torch/csrc/Exceptions.h:14:0, 2022-11-23T02:16:53.5088156Z from /opt/conda/lib/python3.7/site-packages/torch/include/torch/csrc/api/include/torch/python.h:11, 2022-11-23T02:16:53.5088607Z from /opt/conda/lib/python3.7/site-packages/torch/include/torch/extension.h:6, 2022-11-23T02:16:53.5089026Z from extension.cpp:1: 2022-11-23T02:16:53.5089570Z /opt/conda/lib/python3.7/site-packages/torch/include/pybind11/pybind11.h: In instantiation of ‘class pybind11::class_’: 2022-11-23T02:16:53.5089905Z extension.cpp:36:53: required from here 2022-11-23T02:16:53.5090581Z /opt/conda/lib/python3.7/site-packages/torch/include/pybind11/pybind11.h:1479:7: warning: ‘pybind11::class_’ declared with greater visibility than the type of its field ‘pybind11::class_::’ [-Wattributes] 2022-11-23T02:16:53.5091043Z class class_ : public detail::generic_type { 2022-11-23T02:16:53.5091228Z ^~~~~~ 2022-11-23T02:16:53.5092943Z /opt/conda/lib/python3.7/site-packages/torch/include/pybind11/pybind11.h:1479:7: warning: ‘pybind11::class_’ declared with greater visibility than its base ‘pybind11::detail::generic_type’ [-Wattributes] 2022-11-23T02:16:53.5097900Z g++ -pthread -B /opt/conda/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/compiler_compat -L/opt/conda/lib -Wl,-rpath=/opt/conda/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-cpython-37/extension.o -L/opt/conda/lib/python3.7/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-37/torch_test_cpp_extension/cpp.cpython-37m-x86_64-linux-gnu.so 2022-11-23T02:16:53.7931876Z building 'torch_test_cpp_extension.ort' extension 2022-11-23T02:16:53.7934417Z gcc -pthread -B /opt/conda/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/opt/conda/lib/python3.7/site-packages/torch/include -I/opt/conda/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.7/site-packages/torch/include/TH -I/opt/conda/lib/python3.7/site-packages/torch/include/THC -Iself_compiler_include_dirs_test -I/opt/conda/include/python3.7m -c ort_extension.cpp -o build/temp.linux-x86_64-cpython-37/ort_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -DTORCH_EXTENSION_NAME=ort -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++14 2022-11-23T02:16:54.8865478Z cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ 2022-11-23T02:16:54.8875253Z g++ -pthread -B /opt/conda/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/compiler_compat -L/opt/conda/lib -Wl,-rpath=/opt/conda/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-cpython-37/ort_extension.o -L/opt/conda/lib/python3.7/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-37/torch_test_cpp_extension/ort.cpython-37m-x86_64-linux-gnu.so 2022-11-23T02:16:55.1707362Z building 'torch_test_cpp_extension.rng' extension 2022-11-23T02:16:55.1711018Z gcc -pthread -B /opt/conda/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I/opt/conda/lib/python3.7/site-packages/torch/include -I/opt/conda/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/lib/python3.7/site-packages/torch/include/TH -I/opt/conda/lib/python3.7/site-packages/torch/include/THC -Iself_compiler_include_dirs_test -I/opt/conda/include/python3.7m -c rng_extension.cpp -o build/temp.linux-x86_64-cpython-37/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_gcc\" -DPYBIND11_STDLIB=\"_libstdcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1011\" -DTORCH_EXTENSION_NAME=rng -D_GLIBCXX_USE_CXX11_ABI=1 -std=c++14 2022-11-23T02:16:56.3450979Z cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ 2022-11-23T02:16:56.3451532Z In file included from /opt/conda/lib/python3.7/site-packages/torch/include/ATen/cpu/vec/vec256/vec256.h:8:0, 2022-11-23T02:16:56.3451970Z from /opt/conda/lib/python3.7/site-packages/torch/include/ATen/cpu/vec/vec.h:6, 2022-11-23T02:16:56.3452404Z from /opt/conda/lib/python3.7/site-packages/torch/include/ATen/native/cpu/Loops.h:37, 2022-11-23T02:16:56.3453047Z from /opt/conda/lib/python3.7/site-packages/torch/include/ATen/native/cpu/DistributionTemplates.h:8, 2022-11-23T02:16:56.3453353Z from rng_extension.cpp:6: 2022-11-23T02:16:56.3453806Z /opt/conda/lib/python3.7/site-packages/torch/include/ATen/cpu/vec/vec_base.h:1008:0: warning: ignoring #pragma unroll [-Wunknown-pragmas] 2022-11-23T02:16:56.3454098Z # pragma unroll 2022-11-23T02:16:56.3454259Z 2022-11-23T02:16:56.3461117Z g++ -pthread -B /opt/conda/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/compiler_compat -L/opt/conda/lib -Wl,-rpath=/opt/conda/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-cpython-37/rng_extension.o -L/opt/conda/lib/python3.7/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-37/torch_test_cpp_extension/rng.cpython-37m-x86_64-linux-gnu.so 2022-11-23T02:16:56.6270743Z running install_lib 2022-11-23T02:16:56.6328767Z copying build/lib.linux-x86_64-cpython-37/torch_test_cpp_extension/cpp.cpython-37m-x86_64-linux-gnu.so -> ./install/opt/conda/lib/python3.7/site-packages/torch_test_cpp_extension 2022-11-23T02:16:56.6399043Z copying build/lib.linux-x86_64-cpython-37/torch_test_cpp_extension/ort.cpython-37m-x86_64-linux-gnu.so -> ./install/opt/conda/lib/python3.7/site-packages/torch_test_cpp_extension 2022-11-23T02:16:56.6474444Z copying build/lib.linux-x86_64-cpython-37/torch_test_cpp_extension/rng.cpython-37m-x86_64-linux-gnu.so -> ./install/opt/conda/lib/python3.7/site-packages/torch_test_cpp_extension 2022-11-23T02:16:56.6556801Z running install_egg_info 2022-11-23T02:16:56.6679346Z running egg_info 2022-11-23T02:16:56.6721853Z writing torch_test_cpp_extension.egg-info/PKG-INFO 2022-11-23T02:16:56.6751788Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt 2022-11-23T02:16:56.6763938Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt 2022-11-23T02:16:56.6818733Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2022-11-23T02:16:56.6825795Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt' 2022-11-23T02:16:56.6834477Z removing './install/opt/conda/lib/python3.7/site-packages/torch_test_cpp_extension-0.0.0-py3.7.egg-info' (and everything under it) 2022-11-23T02:16:56.6836456Z Copying torch_test_cpp_extension.egg-info to ./install/opt/conda/lib/python3.7/site-packages/torch_test_cpp_extension-0.0.0-py3.7.egg-info 2022-11-23T02:16:56.6840594Z running install_scripts 2022-11-23T02:16:58.4650731Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T02:16:58.4903961Z running install 2022-11-23T02:16:58.4905425Z /opt/conda/lib/python3.7/site-packages/setuptools/command/install.py:37: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. 2022-11-23T02:16:58.4906172Z setuptools.SetuptoolsDeprecationWarning, 2022-11-23T02:16:58.5008331Z running build 2022-11-23T02:16:58.5008646Z running build_ext 2022-11-23T02:16:58.5397518Z building 'no_python_abi_suffix_test' extension 2022-11-23T02:16:58.5754844Z Emitting ninja build file /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-37/build.ninja... 2022-11-23T02:16:58.5787939Z Compiling objects... 2022-11-23T02:16:58.5788383Z Using envvar MAX_JOBS (6) as the number of workers... 2022-11-23T02:16:58.6116560Z ninja: no work to do. 2022-11-23T02:16:58.6162956Z g++ -pthread -B /opt/conda/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/compiler_compat -L/opt/conda/lib -Wl,-rpath=/opt/conda/lib -Wl,--no-as-needed -Wl,--sysroot=/ /var/lib/jenkins/workspace/test/cpp_extensions/no_python_abi_suffix_test/build/temp.linux-x86_64-cpython-37/no_python_abi_suffix_test.o -L/opt/conda/lib/python3.7/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.linux-x86_64-cpython-37/no_python_abi_suffix_test.so 2022-11-23T02:16:58.7876080Z running install_lib 2022-11-23T02:16:58.7928263Z copying build/lib.linux-x86_64-cpython-37/no_python_abi_suffix_test.so -> ./install/opt/conda/lib/python3.7/site-packages 2022-11-23T02:16:58.7933707Z running install_egg_info 2022-11-23T02:16:58.8053986Z running egg_info 2022-11-23T02:16:58.8094438Z writing no_python_abi_suffix_test.egg-info/PKG-INFO 2022-11-23T02:16:58.8104419Z writing dependency_links to no_python_abi_suffix_test.egg-info/dependency_links.txt 2022-11-23T02:16:58.8114342Z writing top-level names to no_python_abi_suffix_test.egg-info/top_level.txt 2022-11-23T02:16:58.8164750Z reading manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2022-11-23T02:16:58.8171384Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt' 2022-11-23T02:16:58.8179309Z removing './install/opt/conda/lib/python3.7/site-packages/no_python_abi_suffix_test-0.0.0-py3.7.egg-info' (and everything under it) 2022-11-23T02:16:58.8181262Z Copying no_python_abi_suffix_test.egg-info to ./install/opt/conda/lib/python3.7/site-packages/no_python_abi_suffix_test-0.0.0-py3.7.egg-info 2022-11-23T02:16:58.8185085Z running install_scripts 2022-11-23T02:16:59.1329416Z Executing ['/opt/conda/bin/python', '-bb', 'test_cpp_extensions_aot_no_ninja.py', '-v', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:16:59.132567] 2022-11-23T02:17:01.5180077Z 2022-11-23T02:17:01.5180630Z Expand the folded group to see the log file of test_cpp_extensions_aot_no_ninja 2022-11-23T02:17:01.5181645Z ##[group]PRINTING LOG FILE of test_cpp_extensions_aot_no_ninja (/var/lib/jenkins/workspace/test/test-reports/test_cpp_extensions_aot_no_ninja_f8_hxmyi) 2022-11-23T02:17:01.5182697Z Test results will be stored in test-reports/python-unittest/test_cpp_extensions_aot_no_ninja 2022-11-23T02:17:01.5183113Z No CUDA runtime is found, using CUDA_HOME='/usr/local/cuda' 2022-11-23T02:17:01.5183267Z 2022-11-23T02:17:01.5183344Z Running tests... 2022-11-23T02:17:01.5183728Z ---------------------------------------------------------------------- 2022-11-23T02:17:01.5184170Z test_backward (__main__.TestCppExtensionAOT) ... ok (0.014s) 2022-11-23T02:17:01.5184766Z test_cublas_extension (__main__.TestCppExtensionAOT) ... skip: CUDA not found (0.001s) 2022-11-23T02:17:01.5185401Z test_cuda_dlink_libs (__main__.TestCppExtensionAOT) ... skip: CUDA not found (0.001s) 2022-11-23T02:17:01.5185905Z test_cuda_extension (__main__.TestCppExtensionAOT) ... skip: CUDA not found (0.000s) 2022-11-23T02:17:01.5186435Z test_cusolver_extension (__main__.TestCppExtensionAOT) ... skip: CUDA not found (0.000s) 2022-11-23T02:17:01.5186902Z test_extension_function (__main__.TestCppExtensionAOT) ... ok (0.001s) 2022-11-23T02:17:01.5187384Z test_extension_module (__main__.TestCppExtensionAOT) ... ok (0.001s) 2022-11-23T02:17:01.5187954Z test_no_python_abi_suffix_sets_the_correct_library_name (__main__.TestCppExtensionAOT) ... ok (0.001s) 2022-11-23T02:17:01.5188279Z test_optional (__main__.TestCppExtensionAOT) ... ok (0.001s) 2022-11-23T02:17:01.5188545Z test_add (__main__.TestORTTensor) ... ok (0.001s) 2022-11-23T02:17:01.5188800Z test_conv_backend_override (__main__.TestORTTensor) ... ok (0.002s) 2022-11-23T02:17:01.5189073Z test_unregistered (__main__.TestORTTensor) ... ok (0.006s) 2022-11-23T02:17:01.5189446Z test_zeros (__main__.TestORTTensor) ... ok (0.001s) 2022-11-23T02:17:01.5189867Z test_rng (__main__.TestRNGExtension) ... ok (0.003s) 2022-11-23T02:17:01.5190153Z test_torch_library (__main__.TestTorchLibrary) ... skip: CUDA not found (0.001s) 2022-11-23T02:17:01.5190327Z 2022-11-23T02:17:01.5190616Z ---------------------------------------------------------------------- 2022-11-23T02:17:01.5190901Z Ran 15 tests in 0.034s 2022-11-23T02:17:01.5191023Z 2022-11-23T02:17:01.5191133Z OK (skipped=5) 2022-11-23T02:17:01.5191257Z 2022-11-23T02:17:01.5191345Z Generating XML reports... 2022-11-23T02:17:01.5191811Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestCppExtensionAOT-20221123021701.xml 2022-11-23T02:17:01.5192426Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestORTTensor-20221123021701.xml 2022-11-23T02:17:01.5192968Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestRNGExtension-20221123021701.xml 2022-11-23T02:17:01.5193525Z Generated XML report: test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestTorchLibrary-20221123021701.xml 2022-11-23T02:17:01.5193764Z 2022-11-23T02:17:01.5194026Z ##[endgroup] 2022-11-23T02:17:01.5194467Z FINISHED PRINTING LOG FILE of test_cpp_extensions_aot_no_ninja (/var/lib/jenkins/workspace/test/test-reports/test_cpp_extensions_aot_no_ninja_f8_hxmyi) 2022-11-23T02:17:01.5194715Z 2022-11-23T02:17:01.5194916Z Running test_cuda_nvml_based_avail ... [2022-11-23 02:17:01.518466] 2022-11-23T02:17:01.5195445Z Executing ['/opt/conda/bin/python', '-bb', 'test_cuda_nvml_based_avail.py', '-v', '--subprocess', '--import-slow-tests', '--import-disabled-tests'] ... [2022-11-23 02:17:01.518935] 2022-11-23T02:17:02.9588784Z 2022-11-23T02:17:02.9589438Z Expand the folded group to see the log file of test_cuda_nvml_based_avail 2022-11-23T02:17:02.9590255Z ##[group]PRINTING LOG FILE of test_cuda_nvml_based_avail (/var/lib/jenkins/workspace/test/test-reports/test_cuda_nvml_based_avail_ddq15g9l) 2022-11-23T02:17:02.9590613Z CUDA not available, skipping tests 2022-11-23T02:17:02.9590761Z 2022-11-23T02:17:02.9591011Z ##[endgroup] 2022-11-23T02:17:02.9591528Z FINISHED PRINTING LOG FILE of test_cuda_nvml_based_avail (/var/lib/jenkins/workspace/test/test-reports/test_cuda_nvml_based_avail_ddq15g9l) 2022-11-23T02:17:02.9591797Z 2022-11-23T02:17:03.2894901Z 2022-11-23T02:17:03.2895460Z real 71m53.272s 2022-11-23T02:17:03.2895771Z user 137m56.662s 2022-11-23T02:17:03.2895946Z sys 11m28.438s 2022-11-23T02:17:03.2896109Z + assert_git_not_dirty 2022-11-23T02:17:03.2896535Z + [[ parallelnative-linux-focal-py3.7-gcc7 != *rocm* ]] 2022-11-23T02:17:03.2896914Z + [[ parallelnative-linux-focal-py3.7-gcc7 != *xla* ]] 2022-11-23T02:17:03.2898281Z ++ git status --porcelain 2022-11-23T02:17:16.8331559Z + git_status= 2022-11-23T02:17:16.8331978Z + [[ -n '' ]] 2022-11-23T02:17:16.8332140Z + test_libtorch 2022-11-23T02:17:16.8332463Z + [[ parallelnative-linux-focal-py3.7-gcc7 != *rocm* ]] 2022-11-23T02:17:16.8332768Z + echo 'Testing libtorch' 2022-11-23T02:17:16.8332943Z Testing libtorch 2022-11-23T02:17:16.8333356Z + ln -sf /opt/conda/lib/python3.7/site-packages/torch/lib/libbackend_with_compiler.so /opt/conda/lib/python3.7/site-packages/torch/bin 2022-11-23T02:17:16.8444850Z + ln -sf /opt/conda/lib/python3.7/site-packages/torch/lib/libjitbackend_test.so /opt/conda/lib/python3.7/site-packages/torch/bin 2022-11-23T02:17:16.8452985Z + ln -sf /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so /opt/conda/lib/python3.7/site-packages/torch/bin 2022-11-23T02:17:16.8460383Z + ln -sf /opt/conda/lib/python3.7/site-packages/torch/lib/libshm.so /opt/conda/lib/python3.7/site-packages/torch/bin 2022-11-23T02:17:16.8468678Z + ln -sf /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch.so /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_python.so /opt/conda/lib/python3.7/site-packages/torch/lib/libtorchbind_test.so /opt/conda/lib/python3.7/site-packages/torch/bin 2022-11-23T02:17:16.8477177Z + ln -sf '/opt/conda/lib/python3.7/site-packages/torch/lib/libtbb*' /opt/conda/lib/python3.7/site-packages/torch/bin 2022-11-23T02:17:16.8485795Z + TEST_REPORTS_DIR=test/test-reports/cpp-unittest/test_libtorch 2022-11-23T02:17:16.8486159Z + mkdir -p test/test-reports/cpp-unittest/test_libtorch 2022-11-23T02:17:16.8486486Z + python tools/download_mnist.py --quiet -d test/cpp/api/mnist 2022-11-23T02:17:16.8535547Z + [[ parallelnative-linux-focal-py3.7-gcc7 != *-tsan* ]] 2022-11-23T02:17:16.8535846Z + python test/cpp/jit/tests_setup.py setup 2022-11-23T02:17:16.8922518Z Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz ... 2022-11-23T02:17:17.2535957Z Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz ... 2022-11-23T02:17:17.2797604Z Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz ... 2022-11-23T02:17:17.3495432Z Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz ... 2022-11-23T02:17:18.1849484Z + [[ parallelnative-linux-focal-py3.7-gcc7 == *cuda* ]] 2022-11-23T02:17:18.1850082Z + /opt/conda/lib/python3.7/site-packages/torch/bin/test_jit '--gtest_filter=-*CUDA' --gtest_output=xml:test/test-reports/cpp-unittest/test_libtorch/test_jit.xml 2022-11-23T02:17:18.4864194Z CUDA not available. Disabling CUDA and MultiCUDA tests 2022-11-23T02:17:18.4868748Z Note: Google Test filter = -*CUDA:*_CUDA:*_MultiCUDA 2022-11-23T02:17:18.4869252Z [==========] Running 568 tests from 118 test suites. 2022-11-23T02:17:18.4869571Z [----------] Global test environment set-up. 2022-11-23T02:17:18.4869948Z [----------] 2 tests from AddIfThenElseOpTest 2022-11-23T02:17:18.4870307Z [ RUN ] AddIfThenElseOpTest.AddIfThenElseOpSimple 2022-11-23T02:17:18.4935123Z [ OK ] AddIfThenElseOpTest.AddIfThenElseOpSimple (6 ms) 2022-11-23T02:17:18.4935565Z [ RUN ] AddIfThenElseOpTest.NoIfThenElseOpMultipleOutputs 2022-11-23T02:17:18.4936074Z [ OK ] AddIfThenElseOpTest.NoIfThenElseOpMultipleOutputs (0 ms) 2022-11-23T02:17:18.4936541Z [----------] 2 tests from AddIfThenElseOpTest (6 ms total) 2022-11-23T02:17:18.4936725Z 2022-11-23T02:17:18.4936964Z [----------] 15 tests from TopologicalMoveTest 2022-11-23T02:17:18.4937389Z [ RUN ] TopologicalMoveTest.SplitsDeps 2022-11-23T02:17:18.4937899Z [ OK ] TopologicalMoveTest.SplitsDeps (0 ms) 2022-11-23T02:17:18.4938409Z [ RUN ] TopologicalMoveTest.MoveAfterBackwardSimple 2022-11-23T02:17:18.4939159Z [ OK ] TopologicalMoveTest.MoveAfterBackwardSimple (0 ms) 2022-11-23T02:17:18.4939638Z [ RUN ] TopologicalMoveTest.MoveAfterBackwardInvalid 2022-11-23T02:17:18.4940135Z [ OK ] TopologicalMoveTest.MoveAfterBackwardInvalid (0 ms) 2022-11-23T02:17:18.4940572Z [ RUN ] TopologicalMoveTest.MoveAfterNoOp 2022-11-23T02:17:18.4941025Z [ OK ] TopologicalMoveTest.MoveAfterNoOp (0 ms) 2022-11-23T02:17:18.4941498Z [ RUN ] TopologicalMoveTest.MoveAfterBackwardMultipleDeps 2022-11-23T02:17:18.4942031Z [ OK ] TopologicalMoveTest.MoveAfterBackwardMultipleDeps (0 ms) 2022-11-23T02:17:18.4942648Z [ RUN ] TopologicalMoveTest.MoveAfterBackwardNonZeroWorkingSet 2022-11-23T02:17:18.4943342Z [ OK ] TopologicalMoveTest.MoveAfterBackwardNonZeroWorkingSet (0 ms) 2022-11-23T02:17:18.4943890Z [ RUN ] TopologicalMoveTest.MoveAfterForwardSimple 2022-11-23T02:17:18.4944371Z [ OK ] TopologicalMoveTest.MoveAfterForwardSimple (0 ms) 2022-11-23T02:17:18.4944891Z [ RUN ] TopologicalMoveTest.MoveAfterForwardNonZeroWorkingSet 2022-11-23T02:17:18.4945416Z [ OK ] TopologicalMoveTest.MoveAfterForwardNonZeroWorkingSet (0 ms) 2022-11-23T02:17:18.4945894Z [ RUN ] TopologicalMoveTest.MoveBeforeForwardSimple 2022-11-23T02:17:18.4946587Z [ OK ] TopologicalMoveTest.MoveBeforeForwardSimple (0 ms) 2022-11-23T02:17:18.4947111Z [ RUN ] TopologicalMoveTest.MoveBeforeBackwardSimple 2022-11-23T02:17:18.4947584Z [ OK ] TopologicalMoveTest.MoveBeforeBackwardSimple (0 ms) 2022-11-23T02:17:18.4947972Z [ RUN ] TopologicalMoveTest.MoveBeforeNoOp 2022-11-23T02:17:18.4948395Z [ OK ] TopologicalMoveTest.MoveBeforeNoOp (0 ms) 2022-11-23T02:17:18.4948810Z [ RUN ] TopologicalMoveTest.MoveBeforeForwardWithDeps 2022-11-23T02:17:18.4949398Z [ OK ] TopologicalMoveTest.MoveBeforeForwardWithDeps (0 ms) 2022-11-23T02:17:18.4949897Z [ RUN ] TopologicalMoveTest.MoveBeforeBackwardWithDeps 2022-11-23T02:17:18.4950312Z [ OK ] TopologicalMoveTest.MoveBeforeBackwardWithDeps (0 ms) 2022-11-23T02:17:18.4950802Z [ RUN ] TopologicalMoveTest.DepsDisallowMove 2022-11-23T02:17:18.4951326Z [ OK ] TopologicalMoveTest.DepsDisallowMove (0 ms) 2022-11-23T02:17:18.4951813Z [ RUN ] TopologicalMoveTest.MoveAfterBeforeWithDeps 2022-11-23T02:17:18.4952485Z [ OK ] TopologicalMoveTest.MoveAfterBeforeWithDeps (0 ms) 2022-11-23T02:17:18.4953128Z [----------] 15 tests from TopologicalMoveTest (1 ms total) 2022-11-23T02:17:18.4953299Z 2022-11-23T02:17:18.4953461Z [----------] 6 tests from AliasAnalysisTest 2022-11-23T02:17:18.4953809Z [ RUN ] AliasAnalysisTest.AliasingMutationBlocksMoves 2022-11-23T02:17:18.4988265Z [ OK ] AliasAnalysisTest.AliasingMutationBlocksMoves (3 ms) 2022-11-23T02:17:18.4988987Z [ RUN ] AliasAnalysisTest.AliasingMutationBlocksMoves2 2022-11-23T02:17:18.4989820Z [ OK ] AliasAnalysisTest.AliasingMutationBlocksMoves2 (0 ms) 2022-11-23T02:17:18.4990291Z [ RUN ] AliasAnalysisTest.SideEffectsBlockMoves 2022-11-23T02:17:18.4990786Z [ OK ] AliasAnalysisTest.SideEffectsBlockMoves (0 ms) 2022-11-23T02:17:18.4991303Z [ RUN ] AliasAnalysisTest.MovingAcrossInnerBlocks 2022-11-23T02:17:18.4991894Z [ OK ] AliasAnalysisTest.MovingAcrossInnerBlocks (0 ms) 2022-11-23T02:17:18.4992455Z [ RUN ] AliasAnalysisTest.NoneHasNoWriters 2022-11-23T02:17:18.4993016Z [ OK ] AliasAnalysisTest.NoneHasNoWriters (0 ms) 2022-11-23T02:17:18.4993622Z [ RUN ] AliasAnalysisTest.SafeToChangeAliasingRelationship 2022-11-23T02:17:18.4994432Z [ OK ] AliasAnalysisTest.SafeToChangeAliasingRelationship (0 ms) 2022-11-23T02:17:18.4995281Z [----------] 6 tests from AliasAnalysisTest (4 ms total) 2022-11-23T02:17:18.4995551Z 2022-11-23T02:17:18.4995818Z [----------] 4 tests from WriteTrackingTest 2022-11-23T02:17:18.4996288Z [ RUN ] WriteTrackingTest.Basic 2022-11-23T02:17:18.4996754Z [ OK ] WriteTrackingTest.Basic (0 ms) 2022-11-23T02:17:18.4997233Z [ RUN ] WriteTrackingTest.IsMutable 2022-11-23T02:17:18.4997775Z [ OK ] WriteTrackingTest.IsMutable (0 ms) 2022-11-23T02:17:18.4998311Z [ RUN ] WriteTrackingTest.IsImmutable 2022-11-23T02:17:18.4998908Z [ OK ] WriteTrackingTest.IsImmutable (0 ms) 2022-11-23T02:17:18.4999486Z [ RUN ] WriteTrackingTest.HasWriters 2022-11-23T02:17:18.5000058Z [ OK ] WriteTrackingTest.HasWriters (0 ms) 2022-11-23T02:17:18.5000587Z [----------] 4 tests from WriteTrackingTest (0 ms total) 2022-11-23T02:17:18.5000878Z 2022-11-23T02:17:18.5001192Z [----------] 13 tests from ContainerAliasingTest 2022-11-23T02:17:18.5001798Z [ RUN ] ContainerAliasingTest.MayContainAlias 2022-11-23T02:17:18.5002431Z [ OK ] ContainerAliasingTest.MayContainAlias (0 ms) 2022-11-23T02:17:18.5003099Z [ RUN ] ContainerAliasingTest.MayContainAlias_cast 2022-11-23T02:17:18.5003967Z [ OK ] ContainerAliasingTest.MayContainAlias_cast (0 ms) 2022-11-23T02:17:18.5004664Z [ RUN ] ContainerAliasingTest.PrimitveValuesDontAliasContainers 2022-11-23T02:17:18.5005254Z [ OK ] ContainerAliasingTest.PrimitveValuesDontAliasContainers (0 ms) 2022-11-23T02:17:18.5005666Z [ RUN ] ContainerAliasingTest.UnionAliasing 2022-11-23T02:17:18.5006019Z [ OK ] ContainerAliasingTest.UnionAliasing (0 ms) 2022-11-23T02:17:18.5006383Z [ RUN ] ContainerAliasingTest.InputsCanAliasOutputs 2022-11-23T02:17:18.5006864Z [ OK ] ContainerAliasingTest.InputsCanAliasOutputs (0 ms) 2022-11-23T02:17:18.5007458Z [ RUN ] ContainerAliasingTest.NestedTupleConstruct 2022-11-23T02:17:18.5007881Z [ OK ] ContainerAliasingTest.NestedTupleConstruct (0 ms) 2022-11-23T02:17:18.5008231Z [ RUN ] ContainerAliasingTest.NestedTypes 2022-11-23T02:17:18.5008580Z [ OK ] ContainerAliasingTest.NestedTypes (0 ms) 2022-11-23T02:17:18.5008951Z [ RUN ] ContainerAliasingTest.Simple 2022-11-23T02:17:18.5009394Z [ OK ] ContainerAliasingTest.Simple (0 ms) 2022-11-23T02:17:18.5009776Z [ RUN ] ContainerAliasingTest.Lists 2022-11-23T02:17:18.5010087Z [ OK ] ContainerAliasingTest.Lists (0 ms) 2022-11-23T02:17:18.5010380Z [ RUN ] ContainerAliasingTest.Lists2 2022-11-23T02:17:18.5010695Z [ OK ] ContainerAliasingTest.Lists2 (0 ms) 2022-11-23T02:17:18.5011066Z [ RUN ] ContainerAliasingTest.Conservative 2022-11-23T02:17:18.5011446Z [ OK ] ContainerAliasingTest.Conservative (0 ms) 2022-11-23T02:17:18.5012010Z [ RUN ] ContainerAliasingTest.MovesAcrossContainedWrites 2022-11-23T02:17:18.5012542Z [ OK ] ContainerAliasingTest.MovesAcrossContainedWrites (0 ms) 2022-11-23T02:17:18.5013145Z [ RUN ] ContainerAliasingTest.MovesAcrossContainedWritesNested 2022-11-23T02:17:18.5013803Z [ OK ] ContainerAliasingTest.MovesAcrossContainedWritesNested (0 ms) 2022-11-23T02:17:18.5014562Z [----------] 13 tests from ContainerAliasingTest (1 ms total) 2022-11-23T02:17:18.5014779Z 2022-11-23T02:17:18.5015023Z [----------] 3 tests from WildcardsTest 2022-11-23T02:17:18.5015348Z [ RUN ] WildcardsTest.Basic 2022-11-23T02:17:18.5015719Z [ OK ] WildcardsTest.Basic (0 ms) 2022-11-23T02:17:18.5016263Z [ RUN ] WildcardsTest.TypeIsolation 2022-11-23T02:17:18.5016695Z [ OK ] WildcardsTest.TypeIsolation (0 ms) 2022-11-23T02:17:18.5017155Z [ RUN ] WildcardsTest.InvariantContainerAliasing 2022-11-23T02:17:18.5017821Z [ OK ] WildcardsTest.InvariantContainerAliasing (0 ms) 2022-11-23T02:17:18.5018191Z [----------] 3 tests from WildcardsTest (0 ms total) 2022-11-23T02:17:18.5018342Z 2022-11-23T02:17:18.5018505Z [----------] 18 tests from AliasRegistrationTest 2022-11-23T02:17:18.5019046Z [ RUN ] AliasRegistrationTest.ConservativeWithInferredSchema 2022-11-23T02:17:18.5019509Z [ OK ] AliasRegistrationTest.ConservativeWithInferredSchema (0 ms) 2022-11-23T02:17:18.5019973Z [ RUN ] AliasRegistrationTest.ConservativeWithSpecifiedSchema 2022-11-23T02:17:18.5020429Z [ OK ] AliasRegistrationTest.ConservativeWithSpecifiedSchema (0 ms) 2022-11-23T02:17:18.5020954Z [ RUN ] AliasRegistrationTest.ConservativeWithAliasingAnnotationsShouldError 2022-11-23T02:17:18.5079085Z [ OK ] AliasRegistrationTest.ConservativeWithAliasingAnnotationsShouldError (6 ms) 2022-11-23T02:17:18.5079758Z [ RUN ] AliasRegistrationTest.ConservativeWithAliasingAnnotationsShouldError2 2022-11-23T02:17:18.5108608Z [ OK ] AliasRegistrationTest.ConservativeWithAliasingAnnotationsShouldError2 (2 ms) 2022-11-23T02:17:18.5109505Z [ RUN ] AliasRegistrationTest.FromSchemaWithInferredSchemaShouldError 2022-11-23T02:17:18.5118368Z [ OK ] AliasRegistrationTest.FromSchemaWithInferredSchemaShouldError (0 ms) 2022-11-23T02:17:18.5118958Z [ RUN ] AliasRegistrationTest.FromSchemaInferredPure 2022-11-23T02:17:18.5119645Z [ OK ] AliasRegistrationTest.FromSchemaInferredPure (0 ms) 2022-11-23T02:17:18.5120259Z [ RUN ] AliasRegistrationTest.FromSchemaAliased 2022-11-23T02:17:18.5121103Z [ OK ] AliasRegistrationTest.FromSchemaAliased (0 ms) 2022-11-23T02:17:18.5121639Z [ RUN ] AliasRegistrationTest.FromSchemaPure 2022-11-23T02:17:18.5122440Z [ OK ] AliasRegistrationTest.FromSchemaPure (0 ms) 2022-11-23T02:17:18.5122850Z [ RUN ] AliasRegistrationTest.PureNoSchema 2022-11-23T02:17:18.5123505Z [ OK ] AliasRegistrationTest.PureNoSchema (0 ms) 2022-11-23T02:17:18.5124065Z [ RUN ] AliasRegistrationTest.PureWithSchema 2022-11-23T02:17:18.5124700Z [ OK ] AliasRegistrationTest.PureWithSchema (0 ms) 2022-11-23T02:17:18.5125319Z [ RUN ] AliasRegistrationTest.PureWithAnnotationsShouldError 2022-11-23T02:17:18.5155039Z [ OK ] AliasRegistrationTest.PureWithAnnotationsShouldError (3 ms) 2022-11-23T02:17:18.5155755Z [ RUN ] AliasRegistrationTest.AliasMoveAtenListOp 2022-11-23T02:17:18.5156484Z [ OK ] AliasRegistrationTest.AliasMoveAtenListOp (0 ms) 2022-11-23T02:17:18.5157409Z [ RUN ] AliasRegistrationTest.AliasMoveForTupleConstructWithSingleUseAsGraphOutput 2022-11-23T02:17:18.5158356Z [ OK ] AliasRegistrationTest.AliasMoveForTupleConstructWithSingleUseAsGraphOutput (0 ms) 2022-11-23T02:17:18.5159159Z [ RUN ] AliasRegistrationTest.RecursiveSubgraphTupleContainment 2022-11-23T02:17:18.5159873Z [ OK ] AliasRegistrationTest.RecursiveSubgraphTupleContainment (0 ms) 2022-11-23T02:17:18.5160509Z [ RUN ] AliasRegistrationTest.WildcardAliasForTupleConstructWithUses 2022-11-23T02:17:18.5161019Z [ OK ] AliasRegistrationTest.WildcardAliasForTupleConstructWithUses (0 ms) 2022-11-23T02:17:18.5161492Z [ RUN ] AliasRegistrationTest.ATenSplitIntListAliasCheck 2022-11-23T02:17:18.5161936Z [ OK ] AliasRegistrationTest.ATenSplitIntListAliasCheck (0 ms) 2022-11-23T02:17:18.5162352Z [ RUN ] AliasRegistrationTest.ATenSplitIntAliasCheck 2022-11-23T02:17:18.5162749Z [ OK ] AliasRegistrationTest.ATenSplitIntAliasCheck (0 ms) 2022-11-23T02:17:18.5163186Z [ RUN ] AliasRegistrationTest.PureWithAnnotationsShouldError2 2022-11-23T02:17:18.5190749Z [ OK ] AliasRegistrationTest.PureWithAnnotationsShouldError2 (2 ms) 2022-11-23T02:17:18.5191644Z [----------] 18 tests from AliasRegistrationTest (17 ms total) 2022-11-23T02:17:18.5191940Z 2022-11-23T02:17:18.5192146Z [----------] 2 tests from IRNonDeterminismTest 2022-11-23T02:17:18.5192455Z [ RUN ] IRNonDeterminismTest.Basic 2022-11-23T02:17:18.5192868Z [ OK ] IRNonDeterminismTest.Basic (0 ms) 2022-11-23T02:17:18.5193289Z [ RUN ] IRNonDeterminismTest.DropoutSpecialCase 2022-11-23T02:17:18.5193825Z [ OK ] IRNonDeterminismTest.DropoutSpecialCase (0 ms) 2022-11-23T02:17:18.5194488Z [----------] 2 tests from IRNonDeterminismTest (0 ms total) 2022-11-23T02:17:18.5194779Z 2022-11-23T02:17:18.5195095Z [----------] 1 test from NonDeterminismBackwardsCompatibility 2022-11-23T02:17:18.5195537Z [ RUN ] NonDeterminismBackwardsCompatibility.BackwardsCompatibility 2022-11-23T02:17:18.5196065Z [ OK ] NonDeterminismBackwardsCompatibility.BackwardsCompatibility (0 ms) 2022-11-23T02:17:18.5196545Z [----------] 1 test from NonDeterminismBackwardsCompatibility (0 ms total) 2022-11-23T02:17:18.5196747Z 2022-11-23T02:17:18.5196980Z [----------] 3 tests from AutodiffTest 2022-11-23T02:17:18.5197265Z [ RUN ] AutodiffTest.ADFormulas 2022-11-23T02:17:18.5659431Z [ OK ] AutodiffTest.ADFormulas (46 ms) 2022-11-23T02:17:18.5659778Z [ RUN ] AutodiffTest.Differentiate 2022-11-23T02:17:18.5664081Z [ OK ] AutodiffTest.Differentiate (0 ms) 2022-11-23T02:17:18.5664549Z [ RUN ] AutodiffTest.DifferentiateWithRequiresGrad 2022-11-23T02:17:18.5683703Z [ OK ] AutodiffTest.DifferentiateWithRequiresGrad (1 ms) 2022-11-23T02:17:18.5684399Z [----------] 3 tests from AutodiffTest (48 ms total) 2022-11-23T02:17:18.5684742Z 2022-11-23T02:17:18.5684958Z [----------] 1 test from AutodiffRemoveUnusedGradientsTest 2022-11-23T02:17:18.5685340Z [ RUN ] AutodiffRemoveUnusedGradientsTest.Linear 2022-11-23T02:17:18.5697344Z [ OK ] AutodiffRemoveUnusedGradientsTest.Linear (1 ms) 2022-11-23T02:17:18.5698072Z [----------] 1 test from AutodiffRemoveUnusedGradientsTest (1 ms total) 2022-11-23T02:17:18.5698274Z 2022-11-23T02:17:18.5698428Z [----------] 1 test from UpgraderLoad 2022-11-23T02:17:18.5698889Z [ RUN ] UpgraderLoad.CanPopulateUpgradersGraph 2022-11-23T02:17:18.5741053Z [ OK ] UpgraderLoad.CanPopulateUpgradersGraph (4 ms) 2022-11-23T02:17:18.5741673Z [----------] 1 test from UpgraderLoad (4 ms total) 2022-11-23T02:17:18.5741831Z 2022-11-23T02:17:18.5742011Z [----------] 4 tests from OpReplacementTest 2022-11-23T02:17:18.5742399Z [ RUN ] OpReplacementTest.ReplaceDivInSimpleFunction 2022-11-23T02:17:18.5743261Z [ OK ] OpReplacementTest.ReplaceDivInSimpleFunction (0 ms) 2022-11-23T02:17:18.5743892Z [ RUN ] OpReplacementTest.ReplaceTwoOpsInSimpleFunction 2022-11-23T02:17:18.5745771Z [ OK ] OpReplacementTest.ReplaceTwoOpsInSimpleFunction (0 ms) 2022-11-23T02:17:18.5746406Z [ RUN ] OpReplacementTest.ReplaceDivInNestedFunction 2022-11-23T02:17:18.5748097Z [ OK ] OpReplacementTest.ReplaceDivInNestedFunction (0 ms) 2022-11-23T02:17:18.5748763Z [ RUN ] OpReplacementTest.ReplaceTestSubcmulInSimpleFunction 2022-11-23T02:17:18.5750080Z [ OK ] OpReplacementTest.ReplaceTestSubcmulInSimpleFunction (0 ms) 2022-11-23T02:17:18.5750759Z [----------] 4 tests from OpReplacementTest (0 ms total) 2022-11-23T02:17:18.5751071Z 2022-11-23T02:17:18.5751332Z [----------] 4 tests from UpgraderUtils 2022-11-23T02:17:18.5751731Z [ RUN ] UpgraderUtils.FindCorrectUpgrader 2022-11-23T02:17:18.5752085Z [ OK ] UpgraderUtils.FindCorrectUpgrader (0 ms) 2022-11-23T02:17:18.5752424Z [ RUN ] UpgraderUtils.IsVersionMapSorted 2022-11-23T02:17:18.5752752Z [ OK ] UpgraderUtils.IsVersionMapSorted (0 ms) 2022-11-23T02:17:18.5753080Z [ RUN ] UpgraderUtils.FindIfOpIsCurrent 2022-11-23T02:17:18.5753417Z [ OK ] UpgraderUtils.FindIfOpIsCurrent (0 ms) 2022-11-23T02:17:18.5753731Z [ RUN ] UpgraderUtils.CanLoadHistoricOp 2022-11-23T02:17:18.5754065Z [ OK ] UpgraderUtils.CanLoadHistoricOp (0 ms) 2022-11-23T02:17:18.5754397Z [----------] 4 tests from UpgraderUtils (0 ms total) 2022-11-23T02:17:18.5754549Z 2022-11-23T02:17:18.5754679Z [----------] 9 tests from BackendTest 2022-11-23T02:17:18.5754949Z [ RUN ] BackendTest.ToBackend 2022-11-23T02:17:18.5800105Z [ OK ] BackendTest.ToBackend (4 ms) 2022-11-23T02:17:18.5800429Z [ RUN ] BackendTest.ToBackendNotAvailable 2022-11-23T02:17:18.5822097Z [W backend_detail.cpp:393] Warning: Backend [test_backend_unavailable] is not available. Execution of this Module is still possible by saving and loading on a device where the backend is available. (function codegen_backend_module) 2022-11-23T02:17:18.5839743Z [ OK ] BackendTest.ToBackendNotAvailable (3 ms) 2022-11-23T02:17:18.5840243Z [ RUN ] BackendTest.TestCompiler 2022-11-23T02:17:18.5937368Z [ OK ] BackendTest.TestCompiler (8 ms) 2022-11-23T02:17:18.5937877Z [ RUN ] BackendTest.TestCompilerWithStringTable 2022-11-23T02:17:18.5982366Z [ OK ] BackendTest.TestCompilerWithStringTable (5 ms) 2022-11-23T02:17:18.5982725Z [ RUN ] BackendTest.TestComposite 2022-11-23T02:17:18.6087765Z [ OK ] BackendTest.TestComposite (10 ms) 2022-11-23T02:17:18.6088107Z [ RUN ] BackendTest.TestPrimDtype 2022-11-23T02:17:18.6093920Z [ OK ] BackendTest.TestPrimDtype (0 ms) 2022-11-23T02:17:18.6094452Z [ RUN ] BackendTest.TestCompositeWithSetStates 2022-11-23T02:17:18.6199154Z [ OK ] BackendTest.TestCompositeWithSetStates (10 ms) 2022-11-23T02:17:18.6199584Z [ RUN ] BackendTest.TestConsistencyOfCompositeWithSetStates 2022-11-23T02:17:18.6390088Z [ OK ] BackendTest.TestConsistencyOfCompositeWithSetStates (19 ms) 2022-11-23T02:17:18.6390514Z [ RUN ] BackendTest.TestCompilerNotSupport 2022-11-23T02:17:18.6405434Z [ OK ] BackendTest.TestCompilerNotSupport (1 ms) 2022-11-23T02:17:18.6406084Z [----------] 9 tests from BackendTest (65 ms total) 2022-11-23T02:17:18.6406306Z 2022-11-23T02:17:18.6406479Z [----------] 6 tests from BackendTestDebugInfo 2022-11-23T02:17:18.6406788Z [ RUN ] BackendTestDebugInfo.TestCompiler 2022-11-23T02:17:18.6523335Z [ OK ] BackendTestDebugInfo.TestCompiler (11 ms) 2022-11-23T02:17:18.6524034Z [ RUN ] BackendTestDebugInfo.TestCompilerWithStringTable 2022-11-23T02:17:18.6642112Z [ OK ] BackendTestDebugInfo.TestCompilerWithStringTable (11 ms) 2022-11-23T02:17:18.6642776Z [ RUN ] BackendTestDebugInfo.TestExceptionStackForCompilerWithModuleHierarchy 2022-11-23T02:17:18.6775678Z [ OK ] BackendTestDebugInfo.TestExceptionStackForCompilerWithModuleHierarchy (13 ms) 2022-11-23T02:17:18.6776324Z [ RUN ] BackendTestDebugInfo.TestExceptionStackForCompilerWithTwoLevelModuleHierarchy 2022-11-23T02:17:18.6896689Z [ OK ] BackendTestDebugInfo.TestExceptionStackForCompilerWithTwoLevelModuleHierarchy (12 ms) 2022-11-23T02:17:18.6897413Z [ RUN ] BackendTestDebugInfo.TestExceptionStackForCompilerWithLoweredSubModule 2022-11-23T02:17:18.7020246Z [ OK ] BackendTestDebugInfo.TestExceptionStackForCompilerWithLoweredSubModule (12 ms) 2022-11-23T02:17:18.7020960Z [ RUN ] BackendTestDebugInfo.TestExceptionStackForCompilerWithSelectiveLoweredSubModule 2022-11-23T02:17:18.7147254Z [ OK ] BackendTestDebugInfo.TestExceptionStackForCompilerWithSelectiveLoweredSubModule (12 ms) 2022-11-23T02:17:18.7148048Z [----------] 6 tests from BackendTestDebugInfo (74 ms total) 2022-11-23T02:17:18.7148222Z 2022-11-23T02:17:18.7148392Z [----------] 4 tests from ClassImportTest 2022-11-23T02:17:18.7148665Z [ RUN ] ClassImportTest.Basic 2022-11-23T02:17:18.7153682Z [ OK ] ClassImportTest.Basic (0 ms) 2022-11-23T02:17:18.7154251Z [ RUN ] ClassImportTest.ScriptObject 2022-11-23T02:17:18.7174500Z [ OK ] ClassImportTest.ScriptObject (2 ms) 2022-11-23T02:17:18.7174922Z [ RUN ] ClassImportTest.ClassDerive 2022-11-23T02:17:18.7175442Z [ OK ] ClassImportTest.ClassDerive (0 ms) 2022-11-23T02:17:18.7175878Z [ RUN ] ClassImportTest.CustomClass 2022-11-23T02:17:18.7178285Z [ OK ] ClassImportTest.CustomClass (0 ms) 2022-11-23T02:17:18.7179099Z [----------] 4 tests from ClassImportTest (3 ms total) 2022-11-23T02:17:18.7179275Z 2022-11-23T02:17:18.7179446Z [----------] 1 test from ClassParserTest 2022-11-23T02:17:18.7179738Z [ RUN ] ClassParserTest.Basic 2022-11-23T02:17:18.7180257Z [ OK ] ClassParserTest.Basic (0 ms) 2022-11-23T02:17:18.7180591Z [----------] 1 test from ClassParserTest (0 ms total) 2022-11-23T02:17:18.7180749Z 2022-11-23T02:17:18.7180903Z [----------] 3 tests from ClassTypeTest 2022-11-23T02:17:18.7181199Z [ RUN ] ClassTypeTest.AddRemoveAttr 2022-11-23T02:17:18.7181509Z [ OK ] ClassTypeTest.AddRemoveAttr (0 ms) 2022-11-23T02:17:18.7181832Z [ RUN ] ClassTypeTest.AddRemoveConstant 2022-11-23T02:17:18.7182175Z [ OK ] ClassTypeTest.AddRemoveConstant (0 ms) 2022-11-23T02:17:18.7182525Z [ RUN ] ClassTypeTest.IdenticalTypesDifferentCus 2022-11-23T02:17:18.7186376Z [ OK ] ClassTypeTest.IdenticalTypesDifferentCus (0 ms) 2022-11-23T02:17:18.7186996Z [----------] 3 tests from ClassTypeTest (0 ms total) 2022-11-23T02:17:18.7187152Z 2022-11-23T02:17:18.7187329Z [----------] 2 tests from TestCodeTemplate 2022-11-23T02:17:18.7187619Z [ RUN ] TestCodeTemplate.Copying 2022-11-23T02:17:18.7187927Z [ OK ] TestCodeTemplate.Copying (0 ms) 2022-11-23T02:17:18.7188231Z [ RUN ] TestCodeTemplate.Formatting 2022-11-23T02:17:18.7188542Z [ OK ] TestCodeTemplate.Formatting (0 ms) 2022-11-23T02:17:18.7188877Z [----------] 2 tests from TestCodeTemplate (0 ms total) 2022-11-23T02:17:18.7189039Z 2022-11-23T02:17:18.7189282Z [----------] 13 tests from ConcatOptTest 2022-11-23T02:17:18.7189647Z [ RUN ] ConcatOptTest.SimpleCommonInputsEliminationPrefix 2022-11-23T02:17:18.7248646Z [ OK ] ConcatOptTest.SimpleCommonInputsEliminationPrefix (6 ms) 2022-11-23T02:17:18.7249151Z [ RUN ] ConcatOptTest.SimpleCommonInputsEliminationSuffix 2022-11-23T02:17:18.7295679Z [ OK ] ConcatOptTest.SimpleCommonInputsEliminationSuffix (4 ms) 2022-11-23T02:17:18.7296265Z [ RUN ] ConcatOptTest.CommonInputsEliminationWithDifferentOrderInputs 2022-11-23T02:17:18.7336724Z [ OK ] ConcatOptTest.CommonInputsEliminationWithDifferentOrderInputs (4 ms) 2022-11-23T02:17:18.7337214Z [ RUN ] ConcatOptTest.MoreCommonInputsElimination 2022-11-23T02:17:18.7428674Z [ OK ] ConcatOptTest.MoreCommonInputsElimination (9 ms) 2022-11-23T02:17:18.7429052Z [ RUN ] ConcatOptTest.ExpandConcat 2022-11-23T02:17:18.7458604Z [ OK ] ConcatOptTest.ExpandConcat (2 ms) 2022-11-23T02:17:18.7459302Z [ RUN ] ConcatOptTest.ConcatWithoutResultShape 2022-11-23T02:17:18.7484547Z [ OK ] ConcatOptTest.ConcatWithoutResultShape (2 ms) 2022-11-23T02:17:18.7485013Z [ RUN ] ConcatOptTest.ConcatWithoutInputShape 2022-11-23T02:17:18.7508405Z [ OK ] ConcatOptTest.ConcatWithoutInputShape (2 ms) 2022-11-23T02:17:18.7508838Z [ RUN ] ConcatOptTest.UseVariadicCat 2022-11-23T02:17:18.7568780Z [ OK ] ConcatOptTest.UseVariadicCat (6 ms) 2022-11-23T02:17:18.7569197Z [ RUN ] ConcatOptTest.UseVariadicCatWithMultipleListUses 2022-11-23T02:17:18.7590437Z [ OK ] ConcatOptTest.UseVariadicCatWithMultipleListUses (2 ms) 2022-11-23T02:17:18.7590994Z [ RUN ] ConcatOptTest.UseVariadicCatWithListMutationAfterCat 2022-11-23T02:17:18.7617610Z [ OK ] ConcatOptTest.UseVariadicCatWithListMutationAfterCat (2 ms) 2022-11-23T02:17:18.7618196Z [ RUN ] ConcatOptTest.UseVariadicCatWithListMutationBeforeCat 2022-11-23T02:17:18.7656703Z [ OK ] ConcatOptTest.UseVariadicCatWithListMutationBeforeCat (3 ms) 2022-11-23T02:17:18.7657292Z [ RUN ] ConcatOptTest.UseVariadicCatWithMultipleListMutations 2022-11-23T02:17:18.7723681Z [ OK ] ConcatOptTest.UseVariadicCatWithMultipleListMutations (6 ms) 2022-11-23T02:17:18.7724373Z [ RUN ] ConcatOptTest.RemoveListMutationUseVariadicCatAndCommonInputsElimination 2022-11-23T02:17:18.7774112Z [ OK ] ConcatOptTest.RemoveListMutationUseVariadicCatAndCommonInputsElimination (4 ms) 2022-11-23T02:17:18.7774754Z [----------] 13 tests from ConcatOptTest (58 ms total) 2022-11-23T02:17:18.7774926Z 2022-11-23T02:17:18.7775084Z [----------] 1 test from OptimizeConcatTest 2022-11-23T02:17:18.7775471Z [ RUN ] OptimizeConcatTest.UseVariadicCatReplaceMultiple 2022-11-23T02:17:18.7811508Z [ OK ] OptimizeConcatTest.UseVariadicCatReplaceMultiple (3 ms) 2022-11-23T02:17:18.7811952Z [----------] 1 test from OptimizeConcatTest (3 ms total) 2022-11-23T02:17:18.7812188Z 2022-11-23T02:17:18.7812485Z [----------] 3 tests from ConcatOpt 2022-11-23T02:17:18.7812839Z [ RUN ] ConcatOpt.CombineConcatsSimpleCase 2022-11-23T02:17:18.7813470Z [ OK ] ConcatOpt.CombineConcatsSimpleCase (0 ms) 2022-11-23T02:17:18.7813861Z [ RUN ] ConcatOpt.CombineConcatsLongChain 2022-11-23T02:17:18.7816046Z [ OK ] ConcatOpt.CombineConcatsLongChain (0 ms) 2022-11-23T02:17:18.7816536Z [ RUN ] ConcatOpt.CombineConcatsMutation 2022-11-23T02:17:18.7817044Z [ OK ] ConcatOpt.CombineConcatsMutation (0 ms) 2022-11-23T02:17:18.7817484Z [----------] 3 tests from ConcatOpt (0 ms total) 2022-11-23T02:17:18.7817688Z 2022-11-23T02:17:18.7817919Z [----------] 4 tests from ConstantPoolingTest 2022-11-23T02:17:18.7818303Z [ RUN ] ConstantPoolingTest.Int 2022-11-23T02:17:18.7818659Z [ OK ] ConstantPoolingTest.Int (0 ms) 2022-11-23T02:17:18.7819144Z [ RUN ] ConstantPoolingTest.PoolingAcrossBlocks 2022-11-23T02:17:18.7819544Z [ OK ] ConstantPoolingTest.PoolingAcrossBlocks (0 ms) 2022-11-23T02:17:18.7819938Z [ RUN ] ConstantPoolingTest.PoolingDifferentDevices 2022-11-23T02:17:18.7822482Z [ OK ] ConstantPoolingTest.PoolingDifferentDevices (0 ms) 2022-11-23T02:17:18.7822964Z [ RUN ] ConstantPoolingTest.DictConstantPooling 2022-11-23T02:17:18.7823461Z [ OK ] ConstantPoolingTest.DictConstantPooling (0 ms) 2022-11-23T02:17:18.7823871Z [----------] 4 tests from ConstantPoolingTest (0 ms total) 2022-11-23T02:17:18.7824039Z 2022-11-23T02:17:18.7824179Z [----------] 1 test from CleanupPassTest 2022-11-23T02:17:18.7824539Z [ RUN ] CleanupPassTest.Basic 2022-11-23T02:17:18.7825566Z [ OK ] CleanupPassTest.Basic (0 ms) 2022-11-23T02:17:18.7826007Z [----------] 1 test from CleanupPassTest (0 ms total) 2022-11-23T02:17:18.7826169Z 2022-11-23T02:17:18.7826365Z [----------] 1 test from CreateAutodiffSubgraphsTest 2022-11-23T02:17:18.7826705Z [ RUN ] CreateAutodiffSubgraphsTest.Basic 2022-11-23T02:17:18.7830429Z [ OK ] CreateAutodiffSubgraphsTest.Basic (0 ms) 2022-11-23T02:17:18.7830847Z [----------] 1 test from CreateAutodiffSubgraphsTest (0 ms total) 2022-11-23T02:17:18.7831041Z 2022-11-23T02:17:18.7831197Z [----------] 4 tests from CustomClassTest 2022-11-23T02:17:18.7831517Z [ RUN ] CustomClassTest.TorchbindIValueAPI 2022-11-23T02:17:18.7836211Z [ OK ] CustomClassTest.TorchbindIValueAPI (0 ms) 2022-11-23T02:17:18.7836545Z [ RUN ] CustomClassTest.ScalarTypeClass 2022-11-23T02:17:18.7838671Z [ OK ] CustomClassTest.ScalarTypeClass (0 ms) 2022-11-23T02:17:18.7839006Z [ RUN ] CustomClassTest.TestDocString 2022-11-23T02:17:18.7839335Z [ OK ] CustomClassTest.TestDocString (0 ms) 2022-11-23T02:17:18.7839643Z [ RUN ] CustomClassTest.Serialization 2022-11-23T02:17:18.7858206Z [ OK ] CustomClassTest.Serialization (1 ms) 2022-11-23T02:17:18.7858557Z [----------] 4 tests from CustomClassTest (2 ms total) 2022-11-23T02:17:18.7858720Z 2022-11-23T02:17:18.7859066Z [----------] 5 tests from CustomOperatorTest 2022-11-23T02:17:18.7859514Z [ RUN ] CustomOperatorTest.InferredSchema 2022-11-23T02:17:18.7861499Z [ OK ] CustomOperatorTest.InferredSchema (0 ms) 2022-11-23T02:17:18.7861875Z [ RUN ] CustomOperatorTest.ExplicitSchema 2022-11-23T02:17:18.7863250Z [ OK ] CustomOperatorTest.ExplicitSchema (0 ms) 2022-11-23T02:17:18.7863672Z [ RUN ] CustomOperatorTest.ListParameters 2022-11-23T02:17:18.7864492Z [ OK ] CustomOperatorTest.ListParameters (0 ms) 2022-11-23T02:17:18.7864890Z [ RUN ] CustomOperatorTest.ListParameters2 2022-11-23T02:17:18.7866183Z [ OK ] CustomOperatorTest.ListParameters2 (0 ms) 2022-11-23T02:17:18.7866664Z [ RUN ] CustomOperatorTest.Aliasing 2022-11-23T02:17:18.7867810Z [ OK ] CustomOperatorTest.Aliasing (0 ms) 2022-11-23T02:17:18.7868350Z [----------] 5 tests from CustomOperatorTest (0 ms total) 2022-11-23T02:17:18.7868613Z 2022-11-23T02:17:18.7868796Z [----------] 2 tests from TestCustomOperator 2022-11-23T02:17:18.7869405Z [ RUN ] TestCustomOperator.OperatorGeneratorUndeclared 2022-11-23T02:17:18.7870106Z [ OK ] TestCustomOperator.OperatorGeneratorUndeclared (0 ms) 2022-11-23T02:17:18.7870498Z [ RUN ] TestCustomOperator.OperatorGeneratorBasic 2022-11-23T02:17:18.7870986Z [ OK ] TestCustomOperator.OperatorGeneratorBasic (0 ms) 2022-11-23T02:17:18.7871387Z [----------] 2 tests from TestCustomOperator (0 ms total) 2022-11-23T02:17:18.7871624Z 2022-11-23T02:17:18.7871783Z [----------] 1 test from EliminateDeadCodeTest 2022-11-23T02:17:18.7872273Z [ RUN ] EliminateDeadCodeTest.Basic 2022-11-23T02:17:18.7872862Z [ OK ] EliminateDeadCodeTest.Basic (0 ms) 2022-11-23T02:17:18.7873275Z [----------] 1 test from EliminateDeadCodeTest (0 ms total) 2022-11-23T02:17:18.7873441Z 2022-11-23T02:17:18.7873571Z [----------] 2 tests from FuserTest 2022-11-23T02:17:18.7873845Z [ RUN ] FuserTest.FusionAliasing 2022-11-23T02:17:18.7875925Z [ OK ] FuserTest.FusionAliasing (0 ms) 2022-11-23T02:17:18.7876212Z [ RUN ] FuserTest.KernelCaching 2022-11-23T02:17:18.7878924Z [ OK ] FuserTest.KernelCaching (0 ms) 2022-11-23T02:17:18.7879481Z [----------] 2 tests from FuserTest (0 ms total) 2022-11-23T02:17:18.7879750Z 2022-11-23T02:17:18.7879936Z [----------] 1 test from GraphExecutorTest 2022-11-23T02:17:18.7880234Z [ RUN ] GraphExecutorTest.runAsync_executor 2022-11-23T02:17:18.7904641Z [ OK ] GraphExecutorTest.runAsync_executor (2 ms) 2022-11-23T02:17:18.7905295Z [----------] 1 test from GraphExecutorTest (2 ms total) 2022-11-23T02:17:18.7905596Z 2022-11-23T02:17:18.7905892Z [----------] 5 tests from GraphIteratorTest 2022-11-23T02:17:18.7906447Z [ RUN ] GraphIteratorTest.ConstantReturnGraph 2022-11-23T02:17:18.7907086Z [ OK ] GraphIteratorTest.ConstantReturnGraph (0 ms) 2022-11-23T02:17:18.7907695Z [ RUN ] GraphIteratorTest.GraphWithParameters 2022-11-23T02:17:18.7908304Z [ OK ] GraphIteratorTest.GraphWithParameters (0 ms) 2022-11-23T02:17:18.7908906Z [ RUN ] GraphIteratorTest.GraphWithIf 2022-11-23T02:17:18.7909572Z [ OK ] GraphIteratorTest.GraphWithIf (0 ms) 2022-11-23T02:17:18.7910159Z [ RUN ] GraphIteratorTest.GraphWithNestedIf 2022-11-23T02:17:18.7910786Z [ OK ] GraphIteratorTest.GraphWithNestedIf (0 ms) 2022-11-23T02:17:18.7911361Z [ RUN ] GraphIteratorTest.GraphWithLoop 2022-11-23T02:17:18.7911957Z [ OK ] GraphIteratorTest.GraphWithLoop (0 ms) 2022-11-23T02:17:18.7912508Z [----------] 5 tests from GraphIteratorTest (0 ms total) 2022-11-23T02:17:18.7912770Z 2022-11-23T02:17:18.7913083Z [----------] 1 test from CSDebugInfoSerializaitionTest 2022-11-23T02:17:18.7913866Z [ RUN ] CSDebugInfoSerializaitionTest.TwoSubmodules 2022-11-23T02:17:18.7914815Z [ OK ] CSDebugInfoSerializaitionTest.TwoSubmodules (0 ms) 2022-11-23T02:17:18.7915502Z [----------] 1 test from CSDebugInfoSerializaitionTest (0 ms total) 2022-11-23T02:17:18.7915825Z 2022-11-23T02:17:18.7916083Z [----------] 1 test from InlinerTest 2022-11-23T02:17:18.7916519Z [ RUN ] InlinerTest.Basic 2022-11-23T02:17:18.7919159Z [ OK ] InlinerTest.Basic (0 ms) 2022-11-23T02:17:18.7919694Z [----------] 1 test from InlinerTest (0 ms total) 2022-11-23T02:17:18.7920163Z 2022-11-23T02:17:18.7920424Z [----------] 1 test from InterfaceTest 2022-11-23T02:17:18.7921001Z [ RUN ] InterfaceTest.ModuleInterfaceSerialization 2022-11-23T02:17:18.7934269Z [ OK ] InterfaceTest.ModuleInterfaceSerialization (1 ms) 2022-11-23T02:17:18.7934931Z [----------] 1 test from InterfaceTest (1 ms total) 2022-11-23T02:17:18.7935189Z 2022-11-23T02:17:18.7935441Z [----------] 4 tests from TypeCheckTest 2022-11-23T02:17:18.7935915Z [ RUN ] TypeCheckTest.MatchingType 2022-11-23T02:17:18.7936469Z [ OK ] TypeCheckTest.MatchingType (0 ms) 2022-11-23T02:17:18.7936977Z [ RUN ] TypeCheckTest.SizeMismatch 2022-11-23T02:17:18.7937539Z [ OK ] TypeCheckTest.SizeMismatch (0 ms) 2022-11-23T02:17:18.7938030Z [ RUN ] TypeCheckTest.GradientMismatch 2022-11-23T02:17:18.7938626Z [ OK ] TypeCheckTest.GradientMismatch (0 ms) 2022-11-23T02:17:18.7939387Z [ RUN ] TypeCheckTest.ScalarTypeMismatch 2022-11-23T02:17:18.7939970Z [ OK ] TypeCheckTest.ScalarTypeMismatch (0 ms) 2022-11-23T02:17:18.7940558Z [----------] 4 tests from TypeCheckTest (0 ms total) 2022-11-23T02:17:18.7940823Z 2022-11-23T02:17:18.7941107Z [----------] 3 tests from InterpreterTest 2022-11-23T02:17:18.7941702Z [ RUN ] InterpreterTest.IgnorableArgsInSchema 2022-11-23T02:17:18.7945435Z [ OK ] InterpreterTest.IgnorableArgsInSchema (0 ms) 2022-11-23T02:17:18.7946171Z [ RUN ] InterpreterTest.IgnorableArgsInSchemaWithOut 2022-11-23T02:17:18.7946941Z [ OK ] InterpreterTest.IgnorableArgsInSchemaWithOut (0 ms) 2022-11-23T02:17:18.7947579Z [ RUN ] InterpreterTest.runAsyncBasicTest 2022-11-23T02:17:18.7963529Z [ OK ] InterpreterTest.runAsyncBasicTest (1 ms) 2022-11-23T02:17:18.7963921Z [----------] 3 tests from InterpreterTest (2 ms total) 2022-11-23T02:17:18.7964094Z 2022-11-23T02:17:18.7964300Z [----------] 1 test from EnableRethrowCaughtExceptionTest 2022-11-23T02:17:18.7964872Z [ RUN ] EnableRethrowCaughtExceptionTest.EnableRethrowCaughtExceptionTestRethrowsCaughtException 2022-11-23T02:17:18.8181845Z [ OK ] EnableRethrowCaughtExceptionTest.EnableRethrowCaughtExceptionTestRethrowsCaughtException (21 ms) 2022-11-23T02:17:18.8182934Z [----------] 1 test from EnableRethrowCaughtExceptionTest (21 ms total) 2022-11-23T02:17:18.8183291Z 2022-11-23T02:17:18.8183538Z [----------] 4 tests from IRTest 2022-11-23T02:17:18.8183947Z [ RUN ] IRTest.Attributes 2022-11-23T02:17:18.8184407Z [ OK ] IRTest.Attributes (0 ms) 2022-11-23T02:17:18.8184831Z [ RUN ] IRTest.Blocks 2022-11-23T02:17:18.8185266Z [ OK ] IRTest.Blocks (0 ms) 2022-11-23T02:17:18.8185705Z [ RUN ] IRTest.CommonAncestor 2022-11-23T02:17:18.8186218Z [ OK ] IRTest.CommonAncestor (0 ms) 2022-11-23T02:17:18.8186710Z [ RUN ] IRTest.OperatorMap 2022-11-23T02:17:18.8187159Z [ OK ] IRTest.OperatorMap (0 ms) 2022-11-23T02:17:18.8187677Z [----------] 4 tests from IRTest (0 ms total) 2022-11-23T02:17:18.8187930Z 2022-11-23T02:17:18.8188377Z [----------] 21 tests from IRParserTest 2022-11-23T02:17:18.8188822Z [ RUN ] IRParserTest.Basic 2022-11-23T02:17:18.8189378Z [ OK ] IRParserTest.Basic (0 ms) 2022-11-23T02:17:18.8189852Z [ RUN ] IRParserTest.NestedBlock 2022-11-23T02:17:18.8190368Z [ OK ] IRParserTest.NestedBlock (0 ms) 2022-11-23T02:17:18.8190820Z [ RUN ] IRParserTest.If 2022-11-23T02:17:18.8191272Z [ OK ] IRParserTest.If (0 ms) 2022-11-23T02:17:18.8191726Z [ RUN ] IRParserTest.If2 2022-11-23T02:17:18.8192191Z [ OK ] IRParserTest.If2 (0 ms) 2022-11-23T02:17:18.8192717Z [ RUN ] IRParserTest.InferredTypeIsTensor 2022-11-23T02:17:18.8193451Z [ OK ] IRParserTest.InferredTypeIsTensor (0 ms) 2022-11-23T02:17:18.8193971Z [ RUN ] IRParserTest.ValueReuse 2022-11-23T02:17:18.8194488Z [ OK ] IRParserTest.ValueReuse (0 ms) 2022-11-23T02:17:18.8194998Z [ RUN ] IRParserTest.Attributes 2022-11-23T02:17:18.8195522Z [ OK ] IRParserTest.Attributes (0 ms) 2022-11-23T02:17:18.8196043Z [ RUN ] IRParserTest.OptionalTypes 2022-11-23T02:17:18.8196579Z [ OK ] IRParserTest.OptionalTypes (0 ms) 2022-11-23T02:17:18.8197106Z [ RUN ] IRParserTest.StarTensor 2022-11-23T02:17:18.8197619Z [ OK ] IRParserTest.StarTensor (0 ms) 2022-11-23T02:17:18.8198108Z [ RUN ] IRParserTest.UnshapedTensor 2022-11-23T02:17:18.8198629Z [ OK ] IRParserTest.UnshapedTensor (0 ms) 2022-11-23T02:17:18.8199115Z [ RUN ] IRParserTest.ShapedTensor 2022-11-23T02:17:18.8199601Z [ OK ] IRParserTest.ShapedTensor (0 ms) 2022-11-23T02:17:18.8200107Z [ RUN ] IRParserTest.NestedContrainer 2022-11-23T02:17:18.8200620Z [ OK ] IRParserTest.NestedContrainer (0 ms) 2022-11-23T02:17:18.8201163Z [ RUN ] IRParserTest.MalformedShapeAnnotation 2022-11-23T02:17:18.8201755Z [ OK ] IRParserTest.MalformedShapeAnnotation (0 ms) 2022-11-23T02:17:18.8202276Z [ RUN ] IRParserTest.FileCheck 2022-11-23T02:17:18.8202733Z [ OK ] IRParserTest.FileCheck (0 ms) 2022-11-23T02:17:18.8203189Z [ RUN ] IRParserTest.Strides 2022-11-23T02:17:18.8203643Z [ OK ] IRParserTest.Strides (0 ms) 2022-11-23T02:17:18.8204119Z [ RUN ] IRParserTest.MalformedStrides 2022-11-23T02:17:18.8204637Z [ OK ] IRParserTest.MalformedStrides (0 ms) 2022-11-23T02:17:18.8205136Z [ RUN ] IRParserTest.TensorShapes 2022-11-23T02:17:18.8205612Z [ OK ] IRParserTest.TensorShapes (0 ms) 2022-11-23T02:17:18.8206187Z [ RUN ] IRParserTest.DeviceAndRequiresGradTensors 2022-11-23T02:17:18.8206890Z [ OK ] IRParserTest.DeviceAndRequiresGradTensors (0 ms) 2022-11-23T02:17:18.8207491Z [ RUN ] IRParserTest.ListConstant 2022-11-23T02:17:18.8207990Z [ OK ] IRParserTest.ListConstant (0 ms) 2022-11-23T02:17:18.8208487Z [ RUN ] IRParserTest.PartialStarTensor 2022-11-23T02:17:18.8208975Z [ OK ] IRParserTest.PartialStarTensor (0 ms) 2022-11-23T02:17:18.8209573Z [ RUN ] IRParserTest.ComplexTensorAttributes 2022-11-23T02:17:18.8210144Z [ OK ] IRParserTest.ComplexTensorAttributes (0 ms) 2022-11-23T02:17:18.8210672Z [----------] 21 tests from IRParserTest (1 ms total) 2022-11-23T02:17:18.8210915Z 2022-11-23T02:17:18.8211168Z [----------] 2 tests from JitTypeTest 2022-11-23T02:17:18.8211609Z [ RUN ] JitTypeTest.IsComplete 2022-11-23T02:17:18.8212088Z [ OK ] JitTypeTest.IsComplete (0 ms) 2022-11-23T02:17:18.8212556Z [ RUN ] JitTypeTest.UnifyTypes 2022-11-23T02:17:18.8213003Z [ OK ] JitTypeTest.UnifyTypes (0 ms) 2022-11-23T02:17:18.8213500Z [----------] 2 tests from JitTypeTest (0 ms total) 2022-11-23T02:17:18.8213871Z 2022-11-23T02:17:18.8214138Z [----------] 42 tests from LiteInterpreterTest 2022-11-23T02:17:18.8214665Z [ RUN ] LiteInterpreterTest.UpsampleNearest2d 2022-11-23T02:17:18.8218473Z [ OK ] LiteInterpreterTest.UpsampleNearest2d (1 ms) 2022-11-23T02:17:18.8219278Z [ RUN ] LiteInterpreterTest.CheckAttrAccess 2022-11-23T02:17:18.8219860Z [ OK ] LiteInterpreterTest.CheckAttrAccess (0 ms) 2022-11-23T02:17:18.8220428Z [ RUN ] LiteInterpreterTest.MethodInvocation 2022-11-23T02:17:18.8246476Z [ OK ] LiteInterpreterTest.MethodInvocation (2 ms) 2022-11-23T02:17:18.8247245Z [ RUN ] LiteInterpreterTest.Conv 2022-11-23T02:17:18.8272382Z [ OK ] LiteInterpreterTest.Conv (2 ms) 2022-11-23T02:17:18.8272713Z [ RUN ] LiteInterpreterTest.Inline 2022-11-23T02:17:18.8282122Z [ OK ] LiteInterpreterTest.Inline (0 ms) 2022-11-23T02:17:18.8282451Z [ RUN ] LiteInterpreterTest.Tuple 2022-11-23T02:17:18.8302427Z [ OK ] LiteInterpreterTest.Tuple (2 ms) 2022-11-23T02:17:18.8302743Z [ RUN ] LiteInterpreterTest.AtenFormat 2022-11-23T02:17:18.8308303Z [ OK ] LiteInterpreterTest.AtenFormat (0 ms) 2022-11-23T02:17:18.8308644Z [ RUN ] LiteInterpreterTest.PrimDevice 2022-11-23T02:17:18.8312537Z [ OK ] LiteInterpreterTest.PrimDevice (0 ms) 2022-11-23T02:17:18.8312864Z [ RUN ] LiteInterpreterTest.Dict 2022-11-23T02:17:18.8319080Z [ OK ] LiteInterpreterTest.Dict (0 ms) 2022-11-23T02:17:18.8319377Z [ RUN ] LiteInterpreterTest.List 2022-11-23T02:17:18.8327892Z [ OK ] LiteInterpreterTest.List (0 ms) 2022-11-23T02:17:18.8328241Z [ RUN ] LiteInterpreterTest.PrimOverload 2022-11-23T02:17:18.8328591Z [ OK ] LiteInterpreterTest.PrimOverload (0 ms) 2022-11-23T02:17:18.8328900Z [ RUN ] LiteInterpreterTest.Prim 2022-11-23T02:17:18.8332144Z [ OK ] LiteInterpreterTest.Prim (0 ms) 2022-11-23T02:17:18.8332463Z [ RUN ] LiteInterpreterTest.PrimScalar 2022-11-23T02:17:18.8336872Z [ OK ] LiteInterpreterTest.PrimScalar (0 ms) 2022-11-23T02:17:18.8337210Z [ RUN ] LiteInterpreterTest.LoadOrigJit 2022-11-23T02:17:18.8404686Z [ OK ] LiteInterpreterTest.LoadOrigJit (6 ms) 2022-11-23T02:17:18.8405036Z [ RUN ] LiteInterpreterTest.WrongMethodName 2022-11-23T02:17:18.8420889Z [ OK ] LiteInterpreterTest.WrongMethodName (1 ms) 2022-11-23T02:17:18.8421252Z [ RUN ] LiteInterpreterTest.SetState 2022-11-23T02:17:18.8446879Z [ OK ] LiteInterpreterTest.SetState (2 ms) 2022-11-23T02:17:18.8447217Z [ RUN ] LiteInterpreterTest.BuiltinClass 2022-11-23T02:17:18.8453976Z [ OK ] LiteInterpreterTest.BuiltinClass (0 ms) 2022-11-23T02:17:18.8454336Z [ RUN ] LiteInterpreterTest.BuiltinFunction 2022-11-23T02:17:18.8457879Z [ OK ] LiteInterpreterTest.BuiltinFunction (0 ms) 2022-11-23T02:17:18.8458594Z [ RUN ] LiteInterpreterTest.GetRuntimeByteCodeVersion 2022-11-23T02:17:18.8459227Z [ OK ] LiteInterpreterTest.GetRuntimeByteCodeVersion (0 ms) 2022-11-23T02:17:18.8459906Z [ RUN ] LiteInterpreterTest.GetRuntimeOperatorsVersion 2022-11-23T02:17:18.8460555Z [ OK ] LiteInterpreterTest.GetRuntimeOperatorsVersion (0 ms) 2022-11-23T02:17:18.8460978Z [ RUN ] LiteInterpreterTest.GetByteCodeVersion 2022-11-23T02:17:18.8461474Z [ OK ] LiteInterpreterTest.GetByteCodeVersion (0 ms) 2022-11-23T02:17:18.8462066Z [ RUN ] LiteInterpreterTest.GetContainTypes 2022-11-23T02:17:18.8462638Z [ OK ] LiteInterpreterTest.GetContainTypes (0 ms) 2022-11-23T02:17:18.8463052Z [ RUN ] LiteInterpreterTest.BackPortByteCodeModelAllVersions 2022-11-23T02:17:18.9316969Z [ OK ] LiteInterpreterTest.BackPortByteCodeModelAllVersions (85 ms) 2022-11-23T02:17:18.9317637Z [ RUN ] LiteInterpreterTest.GetRuntimeOpsAndInfo 2022-11-23T02:17:18.9380954Z [ OK ] LiteInterpreterTest.GetRuntimeOpsAndInfo (6 ms) 2022-11-23T02:17:18.9381499Z [ RUN ] LiteInterpreterTest.isCompatibleSuccess 2022-11-23T02:17:18.9435912Z [ OK ] LiteInterpreterTest.isCompatibleSuccess (5 ms) 2022-11-23T02:17:18.9436532Z [ RUN ] LiteInterpreterTest.isCompatibleFail 2022-11-23T02:17:18.9529626Z [ OK ] LiteInterpreterTest.isCompatibleFail (9 ms) 2022-11-23T02:17:18.9530477Z [ RUN ] LiteInterpreterTest.Eval 2022-11-23T02:17:18.9539175Z [ OK ] LiteInterpreterTest.Eval (0 ms) 2022-11-23T02:17:18.9539760Z [ RUN ] LiteInterpreterTest.FindWrongMethodName 2022-11-23T02:17:18.9544523Z [ OK ] LiteInterpreterTest.FindWrongMethodName (0 ms) 2022-11-23T02:17:18.9545131Z [ RUN ] LiteInterpreterTest.FindAndRunMethod 2022-11-23T02:17:18.9552947Z [ OK ] LiteInterpreterTest.FindAndRunMethod (0 ms) 2022-11-23T02:17:18.9553596Z [ RUN ] LiteInterpreterTest.RunMethodVariadic 2022-11-23T02:17:18.9560802Z [ OK ] LiteInterpreterTest.RunMethodVariadic (0 ms) 2022-11-23T02:17:18.9561462Z [ RUN ] LiteInterpreterTest.DuplicateSetState 2022-11-23T02:17:18.9572123Z [ OK ] LiteInterpreterTest.DuplicateSetState (1 ms) 2022-11-23T02:17:18.9572728Z [ RUN ] LiteInterpreterTest.ExtraFiles 2022-11-23T02:17:18.9578055Z [ OK ] LiteInterpreterTest.ExtraFiles (0 ms) 2022-11-23T02:17:18.9578945Z [ RUN ] LiteInterpreterTest.OpNameExportFetchRootOperators 2022-11-23T02:17:18.9588543Z [ OK ] LiteInterpreterTest.OpNameExportFetchRootOperators (1 ms) 2022-11-23T02:17:18.9589346Z [ RUN ] LiteInterpreterTest.DefaultArgsConv 2022-11-23T02:17:18.9602708Z [ OK ] LiteInterpreterTest.DefaultArgsConv (1 ms) 2022-11-23T02:17:18.9603475Z [ RUN ] LiteInterpreterTest.DefaultArgsPinv 2022-11-23T02:17:18.9650620Z [ OK ] LiteInterpreterTest.DefaultArgsPinv (4 ms) 2022-11-23T02:17:18.9651080Z [ RUN ] LiteInterpreterTest.DefaultArgsTensorinvSpecifyDefault 2022-11-23T02:17:18.9662170Z [ OK ] LiteInterpreterTest.DefaultArgsTensorinvSpecifyDefault (1 ms) 2022-11-23T02:17:18.9662616Z [ RUN ] LiteInterpreterTest.DefaultArgsPinvWithOutArg 2022-11-23T02:17:18.9681988Z [ OK ] LiteInterpreterTest.DefaultArgsPinvWithOutArg (1 ms) 2022-11-23T02:17:18.9682456Z [ RUN ] LiteInterpreterTest.DefaultArgsWithOutArg 2022-11-23T02:17:18.9690073Z [ OK ] LiteInterpreterTest.DefaultArgsWithOutArg (0 ms) 2022-11-23T02:17:18.9690661Z [ RUN ] LiteInterpreterTest.TestExceptionStackWithTwoLevelModuleHierarchy 2022-11-23T02:17:18.9786311Z [ OK ] LiteInterpreterTest.TestExceptionStackWithTwoLevelModuleHierarchy (9 ms) 2022-11-23T02:17:18.9786876Z [ RUN ] LiteInterpreterTest.OperatorCacheDifferentiatesDefaultArgs 2022-11-23T02:17:18.9821469Z [ OK ] LiteInterpreterTest.OperatorCacheDifferentiatesDefaultArgs (3 ms) 2022-11-23T02:17:18.9821966Z [ RUN ] LiteInterpreterTest.OperatorSize1 2022-11-23T02:17:18.9825249Z [ OK ] LiteInterpreterTest.OperatorSize1 (0 ms) 2022-11-23T02:17:18.9825618Z [ RUN ] LiteInterpreterTest.OperatorTest2 2022-11-23T02:17:18.9842185Z [ OK ] LiteInterpreterTest.OperatorTest2 (1 ms) 2022-11-23T02:17:18.9842927Z [----------] 42 tests from LiteInterpreterTest (164 ms total) 2022-11-23T02:17:18.9843236Z 2022-11-23T02:17:18.9843654Z [----------] 3 tests from RunTimeTest 2022-11-23T02:17:18.9844121Z [ RUN ] RunTimeTest.ParseBytecode 2022-11-23T02:17:18.9844874Z [ OK ] RunTimeTest.ParseBytecode (0 ms) 2022-11-23T02:17:18.9845355Z [ RUN ] RunTimeTest.ParseOperator 2022-11-23T02:17:18.9845787Z [ OK ] RunTimeTest.ParseOperator (0 ms) 2022-11-23T02:17:18.9846162Z [ RUN ] RunTimeTest.RuntimeCall 2022-11-23T02:17:18.9846509Z [ OK ] RunTimeTest.RuntimeCall (0 ms) 2022-11-23T02:17:18.9846900Z [----------] 3 tests from RunTimeTest (0 ms total) 2022-11-23T02:17:18.9847057Z 2022-11-23T02:17:18.9847297Z [----------] 11 tests from LiteInterpreterUpgraderTest 2022-11-23T02:17:18.9847775Z [ RUN ] LiteInterpreterUpgraderTest.DivTensorV2 2022-11-23T02:17:18.9848686Z [ OK ] LiteInterpreterUpgraderTest.DivTensorV2 (0 ms) 2022-11-23T02:17:18.9849145Z [ RUN ] LiteInterpreterUpgraderTest.DivTensorOutV2 2022-11-23T02:17:18.9849719Z [ OK ] LiteInterpreterUpgraderTest.DivTensorOutV2 (0 ms) 2022-11-23T02:17:18.9850203Z [ RUN ] LiteInterpreterUpgraderTest.DivTensorInplaceV2 2022-11-23T02:17:18.9850652Z [ OK ] LiteInterpreterUpgraderTest.DivTensorInplaceV2 (0 ms) 2022-11-23T02:17:18.9851237Z [ RUN ] LiteInterpreterUpgraderTest.DivScalarFloatV2 2022-11-23T02:17:18.9851677Z [ OK ] LiteInterpreterUpgraderTest.DivScalarFloatV2 (0 ms) 2022-11-23T02:17:18.9852263Z [ RUN ] LiteInterpreterUpgraderTest.DivScalarReciprocalFloatV2 2022-11-23T02:17:18.9852711Z expect output: 0.5000 2022-11-23T02:17:18.9853029Z [ CPUFloatType{1} ]actual output: 0.5000 2022-11-23T02:17:18.9853645Z [ CPUFloatType{1} ][ OK ] LiteInterpreterUpgraderTest.DivScalarReciprocalFloatV2 (0 ms) 2022-11-23T02:17:18.9854247Z [ RUN ] LiteInterpreterUpgraderTest.DivScalarReciprocalIntV2 2022-11-23T02:17:18.9855001Z [ OK ] LiteInterpreterUpgraderTest.DivScalarReciprocalIntV2 (0 ms) 2022-11-23T02:17:18.9855616Z [ RUN ] LiteInterpreterUpgraderTest.DivScalarScalarV2 2022-11-23T02:17:18.9856097Z [ OK ] LiteInterpreterUpgraderTest.DivScalarScalarV2 (0 ms) 2022-11-23T02:17:18.9856642Z [ RUN ] LiteInterpreterUpgraderTest.DivScalarIntV2 2022-11-23T02:17:18.9857251Z [ OK ] LiteInterpreterUpgraderTest.DivScalarIntV2 (0 ms) 2022-11-23T02:17:18.9857909Z [ RUN ] LiteInterpreterUpgraderTest.DivScalarInplaceFloatV2 2022-11-23T02:17:18.9858692Z [ OK ] LiteInterpreterUpgraderTest.DivScalarInplaceFloatV2 (0 ms) 2022-11-23T02:17:18.9859512Z [ RUN ] LiteInterpreterUpgraderTest.DivScalarInplaceIntV2 2022-11-23T02:17:18.9860359Z [ OK ] LiteInterpreterUpgraderTest.DivScalarInplaceIntV2 (0 ms) 2022-11-23T02:17:18.9861111Z [ RUN ] LiteInterpreterUpgraderTest.Upgrader 2022-11-23T02:17:18.9861566Z [ OK ] LiteInterpreterUpgraderTest.Upgrader (0 ms) 2022-11-23T02:17:18.9861961Z [----------] 11 tests from LiteInterpreterUpgraderTest (1 ms total) 2022-11-23T02:17:18.9862149Z 2022-11-23T02:17:18.9862340Z [----------] 29 tests from LiteInterpreterDirectTest 2022-11-23T02:17:18.9862716Z [ RUN ] LiteInterpreterDirectTest.UpsampleNearest2d 2022-11-23T02:17:18.9869487Z [ OK ] LiteInterpreterDirectTest.UpsampleNearest2d (0 ms) 2022-11-23T02:17:18.9870235Z [ RUN ] LiteInterpreterDirectTest.CheckAttrAccess 2022-11-23T02:17:18.9870988Z [ OK ] LiteInterpreterDirectTest.CheckAttrAccess (0 ms) 2022-11-23T02:17:18.9871533Z [ RUN ] LiteInterpreterDirectTest.MethodInvocation 2022-11-23T02:17:18.9874887Z hello 2022-11-23T02:17:18.9875099Z hello 3 2022-11-23T02:17:18.9881925Z hello 2022-11-23T02:17:18.9882156Z hello 3 2022-11-23T02:17:18.9887396Z hello 2022-11-23T02:17:18.9887693Z hello 3 2022-11-23T02:17:18.9888383Z [ OK ] LiteInterpreterDirectTest.MethodInvocation (1 ms) 2022-11-23T02:17:18.9888944Z [ RUN ] LiteInterpreterDirectTest.Conv 2022-11-23T02:17:18.9900828Z [ OK ] LiteInterpreterDirectTest.Conv (1 ms) 2022-11-23T02:17:18.9901415Z [ RUN ] LiteInterpreterDirectTest.Inline 2022-11-23T02:17:18.9907379Z [ OK ] LiteInterpreterDirectTest.Inline (0 ms) 2022-11-23T02:17:18.9907964Z [ RUN ] LiteInterpreterDirectTest.Tuple 2022-11-23T02:17:18.9911449Z [ OK ] LiteInterpreterDirectTest.Tuple (0 ms) 2022-11-23T02:17:18.9912017Z [ RUN ] LiteInterpreterDirectTest.Dict 2022-11-23T02:17:18.9915166Z [ OK ] LiteInterpreterDirectTest.Dict (0 ms) 2022-11-23T02:17:18.9915839Z [ RUN ] LiteInterpreterDirectTest.Prim 2022-11-23T02:17:18.9917965Z [ OK ] LiteInterpreterDirectTest.Prim (0 ms) 2022-11-23T02:17:18.9918561Z [ RUN ] LiteInterpreterDirectTest.PrimScalar 2022-11-23T02:17:18.9921221Z [ OK ] LiteInterpreterDirectTest.PrimScalar (0 ms) 2022-11-23T02:17:18.9921840Z [ RUN ] LiteInterpreterDirectTest.WrongMethodName 2022-11-23T02:17:18.9935569Z [ OK ] LiteInterpreterDirectTest.WrongMethodName (1 ms) 2022-11-23T02:17:18.9936140Z [ RUN ] LiteInterpreterDirectTest.SetState 2022-11-23T02:17:18.9953642Z [ OK ] LiteInterpreterDirectTest.SetState (1 ms) 2022-11-23T02:17:18.9954281Z [ RUN ] LiteInterpreterDirectTest.BuiltinFunction 2022-11-23T02:17:18.9955712Z [ OK ] LiteInterpreterDirectTest.BuiltinFunction (0 ms) 2022-11-23T02:17:18.9956443Z [ RUN ] LiteInterpreterDirectTest.GetRuntimeByteCodeVersion 2022-11-23T02:17:18.9957220Z [ OK ] LiteInterpreterDirectTest.GetRuntimeByteCodeVersion (0 ms) 2022-11-23T02:17:18.9957688Z [ RUN ] LiteInterpreterDirectTest.GetRuntimeOperatorsVersion 2022-11-23T02:17:18.9958144Z [ OK ] LiteInterpreterDirectTest.GetRuntimeOperatorsVersion (0 ms) 2022-11-23T02:17:18.9958584Z [ RUN ] LiteInterpreterDirectTest.GetByteCodeVersion 2022-11-23T02:17:18.9958995Z [ OK ] LiteInterpreterDirectTest.GetByteCodeVersion (0 ms) 2022-11-23T02:17:18.9959409Z [ RUN ] LiteInterpreterDirectTest.GetRuntimeOpsAndInfo 2022-11-23T02:17:19.0025979Z [ OK ] LiteInterpreterDirectTest.GetRuntimeOpsAndInfo (6 ms) 2022-11-23T02:17:19.0026469Z [ RUN ] LiteInterpreterDirectTest.Eval 2022-11-23T02:17:19.0030717Z [ OK ] LiteInterpreterDirectTest.Eval (0 ms) 2022-11-23T02:17:19.0031340Z [ RUN ] LiteInterpreterDirectTest.FindWrongMethodName 2022-11-23T02:17:19.0032819Z [ OK ] LiteInterpreterDirectTest.FindWrongMethodName (0 ms) 2022-11-23T02:17:19.0033232Z [ RUN ] LiteInterpreterDirectTest.FindAndRunMethod 2022-11-23T02:17:19.0037937Z [ OK ] LiteInterpreterDirectTest.FindAndRunMethod (0 ms) 2022-11-23T02:17:19.0038330Z [ RUN ] LiteInterpreterDirectTest.RunMethodVariadic 2022-11-23T02:17:19.0042578Z [ OK ] LiteInterpreterDirectTest.RunMethodVariadic (0 ms) 2022-11-23T02:17:19.0042988Z [ RUN ] LiteInterpreterDirectTest.DuplicateSetState 2022-11-23T02:17:19.0047756Z [ OK ] LiteInterpreterDirectTest.DuplicateSetState (0 ms) 2022-11-23T02:17:19.0048260Z [ RUN ] LiteInterpreterDirectTest.OpNameExportFetchRootOperators 2022-11-23T02:17:19.0052908Z [ OK ] LiteInterpreterDirectTest.OpNameExportFetchRootOperators (0 ms) 2022-11-23T02:17:19.0053397Z [ RUN ] LiteInterpreterDirectTest.DefaultArgsConv 2022-11-23T02:17:19.0062506Z [ OK ] LiteInterpreterDirectTest.DefaultArgsConv (0 ms) 2022-11-23T02:17:19.0062928Z [ RUN ] LiteInterpreterDirectTest.DefaultArgsPinv 2022-11-23T02:17:19.0098493Z [ OK ] LiteInterpreterDirectTest.DefaultArgsPinv (3 ms) 2022-11-23T02:17:19.0099329Z [ RUN ] LiteInterpreterDirectTest.DefaultArgsTensorinvSpecifyDefault 2022-11-23T02:17:19.0106547Z [ OK ] LiteInterpreterDirectTest.DefaultArgsTensorinvSpecifyDefault (0 ms) 2022-11-23T02:17:19.0107075Z [ RUN ] LiteInterpreterDirectTest.DefaultArgsPinvWithOutArg 2022-11-23T02:17:19.0125504Z [ OK ] LiteInterpreterDirectTest.DefaultArgsPinvWithOutArg (1 ms) 2022-11-23T02:17:19.0126153Z [ RUN ] LiteInterpreterDirectTest.DefaultArgsWithOutArg 2022-11-23T02:17:19.0131070Z [ OK ] LiteInterpreterDirectTest.DefaultArgsWithOutArg (0 ms) 2022-11-23T02:17:19.0131609Z [ RUN ] LiteInterpreterDirectTest.TestExceptionStackWithTwoLevelModuleHierarchy 2022-11-23T02:17:19.0223432Z [ OK ] LiteInterpreterDirectTest.TestExceptionStackWithTwoLevelModuleHierarchy (9 ms) 2022-11-23T02:17:19.0224049Z [ RUN ] LiteInterpreterDirectTest.OperatorCacheDifferentiatesDefaultArgs 2022-11-23T02:17:19.0243452Z [ OK ] LiteInterpreterDirectTest.OperatorCacheDifferentiatesDefaultArgs (2 ms) 2022-11-23T02:17:19.0244053Z [----------] 29 tests from LiteInterpreterDirectTest (38 ms total) 2022-11-23T02:17:19.0244224Z 2022-11-23T02:17:19.0244387Z [----------] 7 tests from LiteTrainerTest 2022-11-23T02:17:19.0244680Z [ RUN ] LiteTrainerTest.Params 2022-11-23T02:17:19.0331035Z [ OK ] LiteTrainerTest.Params (8 ms) 2022-11-23T02:17:19.0331349Z [ RUN ] LiteTrainerTest.SGD 2022-11-23T02:17:19.0403414Z [ OK ] LiteTrainerTest.SGD (7 ms) 2022-11-23T02:17:19.0403975Z [ RUN ] LiteTrainerTest.SequentialSampler 2022-11-23T02:17:19.0404584Z [ OK ] LiteTrainerTest.SequentialSampler (0 ms) 2022-11-23T02:17:19.0405058Z [ RUN ] LiteTrainerTest.RandomSamplerReturnsIndicesInCorrectRange 2022-11-23T02:17:19.0405565Z [ OK ] LiteTrainerTest.RandomSamplerReturnsIndicesInCorrectRange (0 ms) 2022-11-23T02:17:19.0406073Z [ RUN ] LiteTrainerTest.RandomSamplerReturnsLessValuesForLastBatch 2022-11-23T02:17:19.0406582Z [ OK ] LiteTrainerTest.RandomSamplerReturnsLessValuesForLastBatch (0 ms) 2022-11-23T02:17:19.0407007Z [ RUN ] LiteTrainerTest.RandomSamplerResetsWell 2022-11-23T02:17:19.0407386Z [ OK ] LiteTrainerTest.RandomSamplerResetsWell (0 ms) 2022-11-23T02:17:19.0407796Z [ RUN ] LiteTrainerTest.RandomSamplerResetsWithNewSizeWell 2022-11-23T02:17:19.0408235Z [ OK ] LiteTrainerTest.RandomSamplerResetsWithNewSizeWell (0 ms) 2022-11-23T02:17:19.0408630Z [----------] 7 tests from LiteTrainerTest (16 ms total) 2022-11-23T02:17:19.0408796Z 2022-11-23T02:17:19.0408939Z [----------] 6 tests from MobileTest 2022-11-23T02:17:19.0409307Z [ RUN ] MobileTest.SaveLoadParametersEmpty 2022-11-23T02:17:19.0410361Z [ OK ] MobileTest.SaveLoadParametersEmpty (0 ms) 2022-11-23T02:17:19.0411044Z [ RUN ] MobileTest.SaveParametersDefaultsToZip 2022-11-23T02:17:19.0411577Z [ OK ] MobileTest.SaveParametersDefaultsToZip (0 ms) 2022-11-23T02:17:19.0412015Z [ RUN ] MobileTest.SaveParametersCanUseFlatbuffer 2022-11-23T02:17:19.0412413Z [ OK ] MobileTest.SaveParametersCanUseFlatbuffer (0 ms) 2022-11-23T02:17:19.0412876Z [ RUN ] MobileTest.SaveLoadParametersUsingFlatbuffers 2022-11-23T02:17:19.0413302Z [ OK ] MobileTest.SaveLoadParametersUsingFlatbuffers (0 ms) 2022-11-23T02:17:19.0413725Z [ RUN ] MobileTest.LoadParametersUnexpectedFormatShouldThrow 2022-11-23T02:17:19.0430993Z [ OK ] MobileTest.LoadParametersUnexpectedFormatShouldThrow (1 ms) 2022-11-23T02:17:19.0431453Z [ RUN ] MobileTest.LoadParametersEmptyDataShouldThrow 2022-11-23T02:17:19.0448299Z [ OK ] MobileTest.LoadParametersEmptyDataShouldThrow (1 ms) 2022-11-23T02:17:19.0448944Z [----------] 6 tests from MobileTest (4 ms total) 2022-11-23T02:17:19.0449414Z 2022-11-23T02:17:19.0449580Z [----------] 1 test from MemoryDAGTest 2022-11-23T02:17:19.0449866Z [ RUN ] MemoryDAGTest.Basic 2022-11-23T02:17:19.0450139Z [ OK ] MemoryDAGTest.Basic (0 ms) 2022-11-23T02:17:19.0450455Z [----------] 1 test from MemoryDAGTest (0 ms total) 2022-11-23T02:17:19.0450609Z 2022-11-23T02:17:19.0450777Z [----------] 1 test from InternedStringsTest 2022-11-23T02:17:19.0451064Z [ RUN ] InternedStringsTest.Basic 2022-11-23T02:17:19.0461536Z [ OK ] InternedStringsTest.Basic (1 ms) 2022-11-23T02:17:19.0462171Z [----------] 1 test from InternedStringsTest (1 ms total) 2022-11-23T02:17:19.0462350Z 2022-11-23T02:17:19.0462558Z [----------] 1 test from FromQualStringTest 2022-11-23T02:17:19.0462879Z [ RUN ] FromQualStringTest.Basic 2022-11-23T02:17:19.0463220Z [ OK ] FromQualStringTest.Basic (0 ms) 2022-11-23T02:17:19.0463635Z [----------] 1 test from FromQualStringTest (0 ms total) 2022-11-23T02:17:19.0463922Z 2022-11-23T02:17:19.0464200Z [----------] 1 test from THNNConvTest 2022-11-23T02:17:19.0464492Z [ RUN ] THNNConvTest.Basic 2022-11-23T02:17:19.0478973Z [ OK ] THNNConvTest.Basic (1 ms) 2022-11-23T02:17:19.0479395Z [----------] 1 test from THNNConvTest (1 ms total) 2022-11-23T02:17:19.0479609Z 2022-11-23T02:17:19.0479868Z [----------] 1 test from ATenNativeBatchNormTest 2022-11-23T02:17:19.0480373Z [ RUN ] ATenNativeBatchNormTest.Basic 2022-11-23T02:17:19.0492794Z [ OK ] ATenNativeBatchNormTest.Basic (1 ms) 2022-11-23T02:17:19.0493585Z [----------] 1 test from ATenNativeBatchNormTest (1 ms total) 2022-11-23T02:17:19.0493922Z 2022-11-23T02:17:19.0494241Z [----------] 2 tests from CustomFusionTest 2022-11-23T02:17:19.0494832Z [ RUN ] CustomFusionTest.Basic 2022-11-23T02:17:19.0495427Z [ OK ] CustomFusionTest.Basic (0 ms) 2022-11-23T02:17:19.0495985Z [ RUN ] CustomFusionTest.NestedBlocks 2022-11-23T02:17:19.0496686Z [ OK ] CustomFusionTest.NestedBlocks (0 ms) 2022-11-23T02:17:19.0497215Z [----------] 2 tests from CustomFusionTest (0 ms total) 2022-11-23T02:17:19.0497458Z 2022-11-23T02:17:19.0497719Z [----------] 1 test from ControlFlowTest 2022-11-23T02:17:19.0498165Z [ RUN ] ControlFlowTest.Basic 2022-11-23T02:17:19.0505594Z [ OK ] ControlFlowTest.Basic (0 ms) 2022-11-23T02:17:19.0506119Z [----------] 1 test from ControlFlowTest (0 ms total) 2022-11-23T02:17:19.0506424Z 2022-11-23T02:17:19.0506644Z [----------] 1 test from ProtoTest 2022-11-23T02:17:19.0507094Z [ RUN ] ProtoTest.Basic 2022-11-23T02:17:19.0507569Z [ OK ] ProtoTest.Basic (0 ms) 2022-11-23T02:17:19.0508091Z [----------] 1 test from ProtoTest (0 ms total) 2022-11-23T02:17:19.0508303Z 2022-11-23T02:17:19.0508592Z [----------] 9 tests from SchemaParserTest 2022-11-23T02:17:19.0509191Z [ RUN ] SchemaParserTest.NestedArrays 2022-11-23T02:17:19.0509769Z [ OK ] SchemaParserTest.NestedArrays (0 ms) 2022-11-23T02:17:19.0510324Z [ RUN ] SchemaParserTest.OutVariant 2022-11-23T02:17:19.0510921Z [ OK ] SchemaParserTest.OutVariant (0 ms) 2022-11-23T02:17:19.0511489Z [ RUN ] SchemaParserTest.NamedReturns 2022-11-23T02:17:19.0512089Z [ OK ] SchemaParserTest.NamedReturns (0 ms) 2022-11-23T02:17:19.0512486Z [ RUN ] SchemaParserTest.Futures 2022-11-23T02:17:19.0512791Z [ OK ] SchemaParserTest.Futures (0 ms) 2022-11-23T02:17:19.0513121Z [ RUN ] SchemaParserTest.AnnotatedAliasSets 2022-11-23T02:17:19.0513463Z [ OK ] SchemaParserTest.AnnotatedAliasSets (0 ms) 2022-11-23T02:17:19.0514023Z [ RUN ] SchemaParserTest.TensorListAnnotatedAliasSets 2022-11-23T02:17:19.0514448Z [ OK ] SchemaParserTest.TensorListAnnotatedAliasSets (0 ms) 2022-11-23T02:17:19.0514857Z [ RUN ] SchemaParserTest.AnnotatedAliasWithoutBeforeSet 2022-11-23T02:17:19.0515288Z [ OK ] SchemaParserTest.AnnotatedAliasWithoutBeforeSet (0 ms) 2022-11-23T02:17:19.0515663Z [ RUN ] SchemaParserTest.BeforeAfterSets 2022-11-23T02:17:19.0516009Z [ OK ] SchemaParserTest.BeforeAfterSets (0 ms) 2022-11-23T02:17:19.0516340Z [ RUN ] SchemaParserTest.BeforeAfterSets2 2022-11-23T02:17:19.0516685Z [ OK ] SchemaParserTest.BeforeAfterSets2 (0 ms) 2022-11-23T02:17:19.0517123Z [----------] 9 tests from SchemaParserTest (0 ms total) 2022-11-23T02:17:19.0517286Z 2022-11-23T02:17:19.0517442Z [----------] 2 tests from TopologicalIndexTest 2022-11-23T02:17:19.0517747Z [ RUN ] TopologicalIndexTest.Basic 2022-11-23T02:17:19.0518062Z [ OK ] TopologicalIndexTest.Basic (0 ms) 2022-11-23T02:17:19.0518371Z [ RUN ] TopologicalIndexTest.Reindex 2022-11-23T02:17:19.0519009Z [ OK ] TopologicalIndexTest.Reindex (0 ms) 2022-11-23T02:17:19.0519629Z [----------] 2 tests from TopologicalIndexTest (0 ms total) 2022-11-23T02:17:19.0519920Z 2022-11-23T02:17:19.0520213Z [----------] 7 tests from RecordFunctionTest 2022-11-23T02:17:19.0520832Z [ RUN ] RecordFunctionTest.TracedTestInputsOutputs 2022-11-23T02:17:19.0521554Z [ OK ] RecordFunctionTest.TracedTestInputsOutputs (0 ms) 2022-11-23T02:17:19.0521935Z [ RUN ] RecordFunctionTest.SampledCallbacks 2022-11-23T02:17:19.0578153Z [ OK ] RecordFunctionTest.SampledCallbacks (5 ms) 2022-11-23T02:17:19.0578542Z [ RUN ] RecordFunctionTest.RecordFunctionGuard 2022-11-23T02:17:19.0579286Z [ OK ] RecordFunctionTest.RecordFunctionGuard (0 ms) 2022-11-23T02:17:19.0579724Z [ RUN ] RecordFunctionTest.Callbacks 2022-11-23T02:17:19.0580351Z [ OK ] RecordFunctionTest.Callbacks (0 ms) 2022-11-23T02:17:19.0580731Z [ RUN ] RecordFunctionTest.ShouldRun 2022-11-23T02:17:19.0581052Z [ OK ] RecordFunctionTest.ShouldRun (0 ms) 2022-11-23T02:17:19.0581449Z [ RUN ] RecordFunctionTest.Basic 2022-11-23T02:17:19.0582858Z [ OK ] RecordFunctionTest.Basic (0 ms) 2022-11-23T02:17:19.0583377Z [ RUN ] RecordFunctionTest.OperatorNameOverload 2022-11-23T02:17:19.0584004Z [ OK ] RecordFunctionTest.OperatorNameOverload (0 ms) 2022-11-23T02:17:19.0584570Z [----------] 7 tests from RecordFunctionTest (7 ms total) 2022-11-23T02:17:19.0584819Z 2022-11-23T02:17:19.0585120Z [----------] 1 test from ThreadLocalDebugInfoTest 2022-11-23T02:17:19.0585614Z [ RUN ] ThreadLocalDebugInfoTest.Basic 2022-11-23T02:17:19.0586401Z [ OK ] ThreadLocalDebugInfoTest.Basic (0 ms) 2022-11-23T02:17:19.0586993Z [----------] 1 test from ThreadLocalDebugInfoTest (0 ms total) 2022-11-23T02:17:19.0587285Z 2022-11-23T02:17:19.0587561Z [----------] 1 test from TestSymIntArrayRef 2022-11-23T02:17:19.0588113Z [ RUN ] TestSymIntArrayRef.BasicConversion 2022-11-23T02:17:19.0588743Z [ OK ] TestSymIntArrayRef.BasicConversion (0 ms) 2022-11-23T02:17:19.0589347Z [----------] 1 test from TestSymIntArrayRef (0 ms total) 2022-11-23T02:17:19.0589603Z 2022-11-23T02:17:19.0589836Z [----------] 4 tests from TestSymInt 2022-11-23T02:17:19.0590335Z [ RUN ] TestSymInt.NarrowCopyWithSymbolicInt 2022-11-23T02:17:19.0590935Z [ OK ] TestSymInt.NarrowCopyWithSymbolicInt (0 ms) 2022-11-23T02:17:19.0591430Z [ RUN ] TestSymInt.NarrowCopy 2022-11-23T02:17:19.0591925Z [ OK ] TestSymInt.NarrowCopy (0 ms) 2022-11-23T02:17:19.0592397Z [ RUN ] TestSymInt.AddSymbolicInt 2022-11-23T02:17:19.0593042Z [ OK ] TestSymInt.AddSymbolicInt (0 ms) 2022-11-23T02:17:19.0593592Z [ RUN ] TestSymInt.TestSymIntToSymNodeDispatch 2022-11-23T02:17:19.0594249Z [ OK ] TestSymInt.TestSymIntToSymNodeDispatch (0 ms) 2022-11-23T02:17:19.0594852Z [----------] 4 tests from TestSymInt (0 ms total) 2022-11-23T02:17:19.0595118Z 2022-11-23T02:17:19.0595399Z [----------] 1 test from FallbackGraphsTest 2022-11-23T02:17:19.0595904Z [ RUN ] FallbackGraphsTest.Basic 2022-11-23T02:17:19.0619732Z [ OK ] FallbackGraphsTest.Basic (1 ms) 2022-11-23T02:17:19.0620508Z [----------] 1 test from FallbackGraphsTest (1 ms total) 2022-11-23T02:17:19.0620813Z 2022-11-23T02:17:19.0621131Z [----------] 1 test from NoneSchemaMatchTest 2022-11-23T02:17:19.0621434Z [ RUN ] NoneSchemaMatchTest.Basic 2022-11-23T02:17:19.0621728Z [ OK ] NoneSchemaMatchTest.Basic (0 ms) 2022-11-23T02:17:19.0622065Z [----------] 1 test from NoneSchemaMatchTest (0 ms total) 2022-11-23T02:17:19.0622228Z 2022-11-23T02:17:19.0622392Z [----------] 1 test from PassManagementTest 2022-11-23T02:17:19.0622674Z [ RUN ] PassManagementTest.Basic 2022-11-23T02:17:19.0622971Z [ OK ] PassManagementTest.Basic (0 ms) 2022-11-23T02:17:19.0623298Z [----------] 1 test from PassManagementTest (0 ms total) 2022-11-23T02:17:19.0623458Z 2022-11-23T02:17:19.0623607Z [----------] 5 tests from LoopPeelerTest 2022-11-23T02:17:19.0623917Z [ RUN ] LoopPeelerTest.NoInductionVariableUse 2022-11-23T02:17:19.0624282Z [ OK ] LoopPeelerTest.NoInductionVariableUse (0 ms) 2022-11-23T02:17:19.0624647Z [ RUN ] LoopPeelerTest.YesInductionVariableUse 2022-11-23T02:17:19.0625009Z [ OK ] LoopPeelerTest.YesInductionVariableUse (0 ms) 2022-11-23T02:17:19.0625399Z [ RUN ] LoopPeelerTest.LoopWithTerminationCondition 2022-11-23T02:17:19.0625803Z [ OK ] LoopPeelerTest.LoopWithTerminationCondition (0 ms) 2022-11-23T02:17:19.0626173Z [ RUN ] LoopPeelerTest.SimpleNestedLoops 2022-11-23T02:17:19.0626504Z [ OK ] LoopPeelerTest.SimpleNestedLoops (0 ms) 2022-11-23T02:17:19.0626841Z [ RUN ] LoopPeelerTest.SimpleNestedLoops2 2022-11-23T02:17:19.0628048Z [ OK ] LoopPeelerTest.SimpleNestedLoops2 (0 ms) 2022-11-23T02:17:19.0628661Z [----------] 5 tests from LoopPeelerTest (2 ms total) 2022-11-23T02:17:19.0628882Z 2022-11-23T02:17:19.0629024Z [----------] 1 test from JitTracing 2022-11-23T02:17:19.0629373Z [ RUN ] JitTracing.Basic 2022-11-23T02:17:19.0776798Z [ OK ] JitTracing.Basic (14 ms) 2022-11-23T02:17:19.0777366Z [----------] 1 test from JitTracing (14 ms total) 2022-11-23T02:17:19.0777547Z 2022-11-23T02:17:19.0777781Z [----------] 1 test from InsertAndEliminateRedundantGuardsTest 2022-11-23T02:17:19.0778179Z [ RUN ] InsertAndEliminateRedundantGuardsTest.Basic 2022-11-23T02:17:19.0783274Z [ OK ] InsertAndEliminateRedundantGuardsTest.Basic (0 ms) 2022-11-23T02:17:19.0784019Z [----------] 1 test from InsertAndEliminateRedundantGuardsTest (0 ms total) 2022-11-23T02:17:19.0784230Z 2022-11-23T02:17:19.0784394Z [----------] 1 test from InsertBailOutsTest 2022-11-23T02:17:19.0784687Z [ RUN ] InsertBailOutsTest.Basic 2022-11-23T02:17:19.0792723Z [ OK ] InsertBailOutsTest.Basic (0 ms) 2022-11-23T02:17:19.0793359Z [----------] 1 test from InsertBailOutsTest (0 ms total) 2022-11-23T02:17:19.0793574Z 2022-11-23T02:17:19.0793733Z [----------] 2 tests from ProfilerTest 2022-11-23T02:17:19.0794003Z [ RUN ] ProfilerTest.Basic 2022-11-23T02:17:19.0908242Z [ OK ] ProfilerTest.Basic (11 ms) 2022-11-23T02:17:19.0908907Z [ RUN ] ProfilerTest.OptionalProfiling 2022-11-23T02:17:19.0909774Z [ OK ] ProfilerTest.OptionalProfiling (0 ms) 2022-11-23T02:17:19.0910372Z [----------] 2 tests from ProfilerTest (11 ms total) 2022-11-23T02:17:19.0910656Z 2022-11-23T02:17:19.0910879Z [----------] 2 tests from CallStackTest 2022-11-23T02:17:19.0911150Z [ RUN ] CallStackTest.Basic 2022-11-23T02:17:19.0915596Z [ OK ] CallStackTest.Basic (0 ms) 2022-11-23T02:17:19.0916088Z [ RUN ] CallStackTest.Caching 2022-11-23T02:17:19.0919378Z [ OK ] CallStackTest.Caching (0 ms) 2022-11-23T02:17:19.0920133Z [----------] 2 tests from CallStackTest (0 ms total) 2022-11-23T02:17:19.0920309Z 2022-11-23T02:17:19.0920469Z [----------] 2 tests from InlinedCallStackTest 2022-11-23T02:17:19.0920801Z [ RUN ] InlinedCallStackTest.BlockAnnotation 2022-11-23T02:17:19.0926893Z [ OK ] InlinedCallStackTest.BlockAnnotation (0 ms) 2022-11-23T02:17:19.0927324Z [ RUN ] InlinedCallStackTest.SelfCallMethods 2022-11-23T02:17:19.0936023Z [ OK ] InlinedCallStackTest.SelfCallMethods (0 ms) 2022-11-23T02:17:19.0936706Z [----------] 2 tests from InlinedCallStackTest (1 ms total) 2022-11-23T02:17:19.0936986Z 2022-11-23T02:17:19.0937159Z [----------] 1 test from AutogradSymbolsTest 2022-11-23T02:17:19.0937467Z [ RUN ] AutogradSymbolsTest.Basic 2022-11-23T02:17:19.0937772Z [ OK ] AutogradSymbolsTest.Basic (0 ms) 2022-11-23T02:17:19.0938153Z [----------] 1 test from AutogradSymbolsTest (0 ms total) 2022-11-23T02:17:19.0938366Z 2022-11-23T02:17:19.0938584Z [----------] 1 test from DefaultArgTypeHintingTest 2022-11-23T02:17:19.0939243Z [ RUN ] DefaultArgTypeHintingTest.Basic 2022-11-23T02:17:19.0939855Z [ OK ] DefaultArgTypeHintingTest.Basic (0 ms) 2022-11-23T02:17:19.0940446Z [----------] 1 test from DefaultArgTypeHintingTest (0 ms total) 2022-11-23T02:17:19.0940628Z 2022-11-23T02:17:19.0940773Z [----------] 5 tests from FuturesTest 2022-11-23T02:17:19.0941020Z [ RUN ] FuturesTest.Basic 2022-11-23T02:17:19.0941288Z [ OK ] FuturesTest.Basic (0 ms) 2022-11-23T02:17:19.0941546Z [ RUN ] FuturesTest.Error 2022-11-23T02:17:19.0947454Z [ OK ] FuturesTest.Error (0 ms) 2022-11-23T02:17:19.0947967Z [ RUN ] FuturesTest.Then 2022-11-23T02:17:19.0948466Z [ OK ] FuturesTest.Then (0 ms) 2022-11-23T02:17:19.0948975Z [ RUN ] FuturesTest.CollectAll 2022-11-23T02:17:19.0949580Z [ OK ] FuturesTest.CollectAll (0 ms) 2022-11-23T02:17:19.0950112Z [ RUN ] FuturesTest.CollectAny 2022-11-23T02:17:19.0950545Z [ OK ] FuturesTest.CollectAny (0 ms) 2022-11-23T02:17:19.0950871Z [----------] 5 tests from FuturesTest (0 ms total) 2022-11-23T02:17:19.0951108Z 2022-11-23T02:17:19.0951413Z [----------] 1 test from TLSFutureCallbacksTest 2022-11-23T02:17:19.0952009Z [ RUN ] TLSFutureCallbacksTest.Basic 2022-11-23T02:17:19.0952587Z [ OK ] TLSFutureCallbacksTest.Basic (0 ms) 2022-11-23T02:17:19.0953146Z [----------] 1 test from TLSFutureCallbacksTest (0 ms total) 2022-11-23T02:17:19.0953332Z 2022-11-23T02:17:19.0953541Z [----------] 1 test from ProfilerDisableInCallbackTest 2022-11-23T02:17:19.0953899Z [ RUN ] ProfilerDisableInCallbackTest.Basic 2022-11-23T02:17:19.0954595Z [ OK ] ProfilerDisableInCallbackTest.Basic (0 ms) 2022-11-23T02:17:19.0955332Z [----------] 1 test from ProfilerDisableInCallbackTest (0 ms total) 2022-11-23T02:17:19.0955662Z 2022-11-23T02:17:19.0955964Z [----------] 2 tests from RecordDebugHandles 2022-11-23T02:17:19.0956459Z [ RUN ] RecordDebugHandles.Basic 2022-11-23T02:17:19.0956978Z STAGE:2022-11-23 02:17:19 15072:15072 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T02:17:19.0957691Z STAGE:2022-11-23 02:17:19 15072:15072 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T02:17:19.0958678Z STAGE:2022-11-23 02:17:19 15072:15072 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T02:17:19.0959408Z [ OK ] RecordDebugHandles.Basic (0 ms) 2022-11-23T02:17:19.0959938Z [ RUN ] RecordDebugHandles.ScopedCallbacks 2022-11-23T02:17:19.0960703Z STAGE:2022-11-23 02:17:19 15072:15072 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T02:17:19.0980253Z STAGE:2022-11-23 02:17:19 15072:15072 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T02:17:19.0981270Z STAGE:2022-11-23 02:17:19 15072:15072 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T02:17:19.0982043Z STAGE:2022-11-23 02:17:19 15072:15072 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T02:17:19.0982747Z STAGE:2022-11-23 02:17:19 15072:15072 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T02:17:19.0983464Z STAGE:2022-11-23 02:17:19 15072:15072 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T02:17:19.0984155Z STAGE:2022-11-23 02:17:19 15072:15072 ActivityProfilerController.cpp:300] Completed Stage: Warm Up 2022-11-23T02:17:19.0984867Z STAGE:2022-11-23 02:17:19 15072:15072 ActivityProfilerController.cpp:306] Completed Stage: Collection 2022-11-23T02:17:19.0985569Z STAGE:2022-11-23 02:17:19 15072:15072 ActivityProfilerController.cpp:310] Completed Stage: Post Processing 2022-11-23T02:17:19.0986208Z [ OK ] RecordDebugHandles.ScopedCallbacks (1 ms) 2022-11-23T02:17:19.0986761Z [----------] 2 tests from RecordDebugHandles (2 ms total) 2022-11-23T02:17:19.0987037Z 2022-11-23T02:17:19.0987290Z [----------] 1 test from IValueKWargsTest 2022-11-23T02:17:19.0987729Z [ RUN ] IValueKWargsTest.Basic 2022-11-23T02:17:19.0988569Z [ OK ] IValueKWargsTest.Basic (0 ms) 2022-11-23T02:17:19.0989115Z [----------] 1 test from IValueKWargsTest (0 ms total) 2022-11-23T02:17:19.0989458Z 2022-11-23T02:17:19.0989739Z [----------] 1 test from ComputeFlopsTest 2022-11-23T02:17:19.0990214Z [ RUN ] ComputeFlopsTest.Basic 2022-11-23T02:17:19.0990915Z [W util.cpp:501] Warning: Failed to compute flops for op aten::conv2d because both input and weight must be size 4. (function computeFlops) 2022-11-23T02:17:19.0991732Z [W util.cpp:516] Warning: Failed to compute flops for op aten::conv2d because stride must be size 2 and cannot be 0. (function computeFlops) 2022-11-23T02:17:19.0992647Z [W util.cpp:472] Warning: Calculating flops for aten::conv2d requires groups, padding, stride, dilation, input_size, and weight_size in saved arguments. (function computeFlops) 2022-11-23T02:17:19.0993534Z [W util.cpp:545] Warning: Calculating flops for aten::mm requires mat1_size and mat2_size in saved arguments. (function computeFlops) 2022-11-23T02:17:19.0994283Z [ OK ] ComputeFlopsTest.Basic (0 ms) 2022-11-23T02:17:19.0994918Z [----------] 1 test from ComputeFlopsTest (0 ms total) 2022-11-23T02:17:19.0995223Z 2022-11-23T02:17:19.0995529Z [----------] 1 test from TestConstant 2022-11-23T02:17:19.0996058Z [ RUN ] TestConstant.TensorGrad 2022-11-23T02:17:19.0996641Z [ OK ] TestConstant.TensorGrad (0 ms) 2022-11-23T02:17:19.0997264Z [----------] 1 test from TestConstant (0 ms total) 2022-11-23T02:17:19.0997553Z 2022-11-23T02:17:19.0997821Z [----------] 1 test from TestMutation 2022-11-23T02:17:19.0998327Z [ RUN ] TestMutation.Basic 2022-11-23T02:17:19.0998843Z [ OK ] TestMutation.Basic (0 ms) 2022-11-23T02:17:19.0999408Z [----------] 1 test from TestMutation (0 ms total) 2022-11-23T02:17:19.0999687Z 2022-11-23T02:17:19.1000279Z [----------] 1 test from TestInplaceToFunctionalActivation 2022-11-23T02:17:19.1000951Z [ RUN ] TestInplaceToFunctionalActivation.Basic 2022-11-23T02:17:19.1001627Z [ OK ] TestInplaceToFunctionalActivation.Basic (0 ms) 2022-11-23T02:17:19.1002317Z [----------] 1 test from TestInplaceToFunctionalActivation (0 ms total) 2022-11-23T02:17:19.1002657Z 2022-11-23T02:17:19.1002946Z [----------] 1 test from TestRegisterShapeOp 2022-11-23T02:17:19.1003483Z [ RUN ] TestRegisterShapeOp.Basic 2022-11-23T02:17:19.2285880Z [ OK ] TestRegisterShapeOp.Basic (129 ms) 2022-11-23T02:17:19.2286440Z [----------] 1 test from TestRegisterShapeOp (129 ms total) 2022-11-23T02:17:19.2287035Z 2022-11-23T02:17:19.2287402Z [----------] 1 test from TestFunctionalToInplaceActivation 2022-11-23T02:17:19.2288016Z [ RUN ] TestFunctionalToInplaceActivation.Basic 2022-11-23T02:17:19.2288626Z [ OK ] TestFunctionalToInplaceActivation.Basic (0 ms) 2022-11-23T02:17:19.2289279Z [----------] 1 test from TestFunctionalToInplaceActivation (0 ms total) 2022-11-23T02:17:19.2289585Z 2022-11-23T02:17:19.2289878Z [----------] 2 tests from TestFunctionExecutor 2022-11-23T02:17:19.2290457Z [ RUN ] TestFunctionExecutor.SimpleExecutorTest 2022-11-23T02:17:19.2291168Z [ OK ] TestFunctionExecutor.SimpleExecutorTest (0 ms) 2022-11-23T02:17:19.2291870Z [ RUN ] TestFunctionExecutor.RunDecompositionTest 2022-11-23T02:17:19.2311990Z [ OK ] TestFunctionExecutor.RunDecompositionTest (2 ms) 2022-11-23T02:17:19.2312591Z [----------] 2 tests from TestFunctionExecutor (2 ms total) 2022-11-23T02:17:19.2312859Z 2022-11-23T02:17:19.2313139Z [----------] 1 test from TestShapeGraphLinting 2022-11-23T02:17:19.2313631Z [ RUN ] TestShapeGraphLinting.Basic 2022-11-23T02:17:19.2320257Z [ OK ] TestShapeGraphLinting.Basic (0 ms) 2022-11-23T02:17:19.2320838Z [----------] 1 test from TestShapeGraphLinting (0 ms total) 2022-11-23T02:17:19.2321116Z 2022-11-23T02:17:19.2321333Z [----------] 1 test from Composed 2022-11-23T02:17:19.2321773Z [ RUN ] Composed.ComposedOp 2022-11-23T02:17:19.5422991Z [ OK ] Composed.ComposedOp (310 ms) 2022-11-23T02:17:19.5423543Z [----------] 1 test from Composed (310 ms total) 2022-11-23T02:17:19.5423757Z 2022-11-23T02:17:19.5424026Z [----------] 1 test from ConstantPropagation 2022-11-23T02:17:19.5424600Z [ RUN ] ConstantPropagation.CustomClassesCanBePropagated 2022-11-23T02:17:19.5426970Z [ OK ] ConstantPropagation.CustomClassesCanBePropagated (0 ms) 2022-11-23T02:17:19.5427656Z [----------] 1 test from ConstantPropagation (0 ms total) 2022-11-23T02:17:19.5427939Z 2022-11-23T02:17:19.5428221Z [----------] 19 tests from MobileTypeParserTest 2022-11-23T02:17:19.5428760Z [ RUN ] MobileTypeParserTest.Int 2022-11-23T02:17:19.5429388Z [ OK ] MobileTypeParserTest.Int (0 ms) 2022-11-23T02:17:19.5430069Z [ RUN ] MobileTypeParserTest.NestedContainersAnnotationStr 2022-11-23T02:17:19.5430891Z [ OK ] MobileTypeParserTest.NestedContainersAnnotationStr (0 ms) 2022-11-23T02:17:19.5431627Z [ RUN ] MobileTypeParserTest.TorchBindClass 2022-11-23T02:17:19.5432274Z [ OK ] MobileTypeParserTest.TorchBindClass (0 ms) 2022-11-23T02:17:19.5432964Z [ RUN ] MobileTypeParserTest.ListOfTorchBindClass 2022-11-23T02:17:19.5433707Z [ OK ] MobileTypeParserTest.ListOfTorchBindClass (0 ms) 2022-11-23T02:17:19.5434558Z [ RUN ] MobileTypeParserTest.NestedContainersAnnotationStrWithSpaces 2022-11-23T02:17:19.5435514Z [ OK ] MobileTypeParserTest.NestedContainersAnnotationStrWithSpaces (0 ms) 2022-11-23T02:17:19.5436284Z [ RUN ] MobileTypeParserTest.NamedTuple 2022-11-23T02:17:19.5437155Z [ OK ] MobileTypeParserTest.NamedTuple (0 ms) 2022-11-23T02:17:19.5437879Z [ RUN ] MobileTypeParserTest.DictNestedNamedTupleTypeList 2022-11-23T02:17:19.5438722Z [ OK ] MobileTypeParserTest.DictNestedNamedTupleTypeList (0 ms) 2022-11-23T02:17:19.5439588Z [ RUN ] MobileTypeParserTest.NamedTupleNestedNamedTupleTypeList 2022-11-23T02:17:19.5440497Z [ OK ] MobileTypeParserTest.NamedTupleNestedNamedTupleTypeList (0 ms) 2022-11-23T02:17:19.5441336Z [ RUN ] MobileTypeParserTest.NamedTupleNestedNamedTuple 2022-11-23T02:17:19.5442145Z [ OK ] MobileTypeParserTest.NamedTupleNestedNamedTuple (0 ms) 2022-11-23T02:17:19.5442975Z [ RUN ] MobileTypeParserTest.Empty 2022-11-23T02:17:19.5462574Z [ OK ] MobileTypeParserTest.Empty (3 ms) 2022-11-23T02:17:19.5463232Z [ RUN ] MobileTypeParserTest.TypoRaises 2022-11-23T02:17:19.5496912Z [ OK ] MobileTypeParserTest.TypoRaises (3 ms) 2022-11-23T02:17:19.5497322Z [ RUN ] MobileTypeParserTest.MismatchBracketRaises 2022-11-23T02:17:19.5530707Z [ OK ] MobileTypeParserTest.MismatchBracketRaises (3 ms) 2022-11-23T02:17:19.5531160Z [ RUN ] MobileTypeParserTest.MismatchBracketRaises2 2022-11-23T02:17:19.5564327Z [ OK ] MobileTypeParserTest.MismatchBracketRaises2 (3 ms) 2022-11-23T02:17:19.5564747Z [ RUN ] MobileTypeParserTest.DictWithoutValueRaises 2022-11-23T02:17:19.5592509Z [ OK ] MobileTypeParserTest.DictWithoutValueRaises (2 ms) 2022-11-23T02:17:19.5592935Z [ RUN ] MobileTypeParserTest.ListArgCountMismatchRaises 2022-11-23T02:17:19.5626201Z [ OK ] MobileTypeParserTest.ListArgCountMismatchRaises (3 ms) 2022-11-23T02:17:19.5626626Z [ RUN ] MobileTypeParserTest.DictArgCountMismatchRaises 2022-11-23T02:17:19.5654360Z [ OK ] MobileTypeParserTest.DictArgCountMismatchRaises (2 ms) 2022-11-23T02:17:19.5654852Z [ RUN ] MobileTypeParserTest.ValidTypeWithExtraStuffRaises 2022-11-23T02:17:19.5671465Z [ OK ] MobileTypeParserTest.ValidTypeWithExtraStuffRaises (1 ms) 2022-11-23T02:17:19.5671892Z [ RUN ] MobileTypeParserTest.NonIdentifierRaises 2022-11-23T02:17:19.5688815Z [ OK ] MobileTypeParserTest.NonIdentifierRaises (1 ms) 2022-11-23T02:17:19.5689264Z [ RUN ] MobileTypeParserTest.DictNestedNamedTupleTypeListRaises 2022-11-23T02:17:19.5729487Z [ OK ] MobileTypeParserTest.DictNestedNamedTupleTypeListRaises (4 ms) 2022-11-23T02:17:19.5730261Z [----------] 19 tests from MobileTypeParserTest (30 ms total) 2022-11-23T02:17:19.5730441Z 2022-11-23T02:17:19.5730598Z [----------] 13 tests from ModuleAPITest 2022-11-23T02:17:19.5730896Z [ RUN ] ModuleAPITest.MethodRunAsync 2022-11-23T02:17:19.5758953Z [ OK ] ModuleAPITest.MethodRunAsync (2 ms) 2022-11-23T02:17:19.5759532Z [ RUN ] ModuleAPITest.Clone 2022-11-23T02:17:19.5759872Z [ OK ] ModuleAPITest.Clone (0 ms) 2022-11-23T02:17:19.5760200Z [ RUN ] ModuleAPITest.CloneWithModuleInterface 2022-11-23T02:17:19.5767742Z [ OK ] ModuleAPITest.CloneWithModuleInterface (0 ms) 2022-11-23T02:17:19.5768241Z [ RUN ] ModuleAPITest.Copy 2022-11-23T02:17:19.5768728Z [ OK ] ModuleAPITest.Copy (0 ms) 2022-11-23T02:17:19.5769159Z [ RUN ] ModuleAPITest.DeepCopy 2022-11-23T02:17:19.5769681Z [ OK ] ModuleAPITest.DeepCopy (0 ms) 2022-11-23T02:17:19.5770225Z [ RUN ] ModuleAPITest.DeepCopyString 2022-11-23T02:17:19.5770755Z [ OK ] ModuleAPITest.DeepCopyString (0 ms) 2022-11-23T02:17:19.5771056Z [ RUN ] ModuleAPITest.DeepCopyEnum 2022-11-23T02:17:19.5771367Z [ OK ] ModuleAPITest.DeepCopyEnum (0 ms) 2022-11-23T02:17:19.5771867Z [ RUN ] ModuleAPITest.DeepCopyPreservesAliasing 2022-11-23T02:17:19.5772253Z [ OK ] ModuleAPITest.DeepCopyPreservesAliasing (0 ms) 2022-11-23T02:17:19.5772584Z [ RUN ] ModuleAPITest.Constants 2022-11-23T02:17:19.5772881Z [ OK ] ModuleAPITest.Constants (0 ms) 2022-11-23T02:17:19.5773166Z [ RUN ] ModuleAPITest.Parameters 2022-11-23T02:17:19.5773472Z [ OK ] ModuleAPITest.Parameters (0 ms) 2022-11-23T02:17:19.5773757Z [ RUN ] ModuleAPITest.Define 2022-11-23T02:17:19.5775926Z [ OK ] ModuleAPITest.Define (0 ms) 2022-11-23T02:17:19.5776209Z [ RUN ] ModuleAPITest.Freezing 2022-11-23T02:17:19.5789254Z [ OK ] ModuleAPITest.Freezing (1 ms) 2022-11-23T02:17:19.5789649Z [ RUN ] ModuleAPITest.OfiFreezesTraining 2022-11-23T02:17:19.5801933Z [ OK ] ModuleAPITest.OfiFreezesTraining (1 ms) 2022-11-23T02:17:19.5802451Z [----------] 13 tests from ModuleAPITest (7 ms total) 2022-11-23T02:17:19.5802630Z 2022-11-23T02:17:19.5802889Z [----------] 6 tests from PeepholeOptimizeTest 2022-11-23T02:17:19.5803316Z [ RUN ] PeepholeOptimizeTest.IsAndIsNot 2022-11-23T02:17:19.5803673Z [ OK ] PeepholeOptimizeTest.IsAndIsNot (0 ms) 2022-11-23T02:17:19.5804134Z [ RUN ] PeepholeOptimizeTest.IsAndIsNot2 2022-11-23T02:17:19.5804617Z [ OK ] PeepholeOptimizeTest.IsAndIsNot2 (0 ms) 2022-11-23T02:17:19.5805219Z [ RUN ] PeepholeOptimizeTest.IsAndIsNot3 2022-11-23T02:17:19.5805674Z [ OK ] PeepholeOptimizeTest.IsAndIsNot3 (0 ms) 2022-11-23T02:17:19.5806217Z [ RUN ] PeepholeOptimizeTest.UnwrapOptional 2022-11-23T02:17:19.5806818Z [ OK ] PeepholeOptimizeTest.UnwrapOptional (0 ms) 2022-11-23T02:17:19.5807459Z [ RUN ] PeepholeOptimizeTest.UnwrapOptional2 2022-11-23T02:17:19.5808137Z [ OK ] PeepholeOptimizeTest.UnwrapOptional2 (0 ms) 2022-11-23T02:17:19.5808770Z [ RUN ] PeepholeOptimizeTest.AddMMFusion 2022-11-23T02:17:19.5809128Z [ OK ] PeepholeOptimizeTest.AddMMFusion (0 ms) 2022-11-23T02:17:19.5809489Z [----------] 6 tests from PeepholeOptimizeTest (0 ms total) 2022-11-23T02:17:19.5809660Z 2022-11-23T02:17:19.5809820Z [----------] 5 tests from QualifiedNameTest 2022-11-23T02:17:19.5810146Z [ RUN ] QualifiedNameTest.PrefixConstruction 2022-11-23T02:17:19.5810496Z [ OK ] QualifiedNameTest.PrefixConstruction (0 ms) 2022-11-23T02:17:19.5810853Z [ RUN ] QualifiedNameTest.DottedConstruction 2022-11-23T02:17:19.5811216Z [ OK ] QualifiedNameTest.DottedConstruction (0 ms) 2022-11-23T02:17:19.5811547Z [ RUN ] QualifiedNameTest.BadInputRaises 2022-11-23T02:17:19.5833221Z [ OK ] QualifiedNameTest.BadInputRaises (2 ms) 2022-11-23T02:17:19.5833815Z [ RUN ] QualifiedNameTest.Equality 2022-11-23T02:17:19.5834222Z [ OK ] QualifiedNameTest.Equality (0 ms) 2022-11-23T02:17:19.5834672Z [ RUN ] QualifiedNameTest.IsPrefixOf 2022-11-23T02:17:19.5835076Z [ OK ] QualifiedNameTest.IsPrefixOf (0 ms) 2022-11-23T02:17:19.5835414Z [----------] 5 tests from QualifiedNameTest (2 ms total) 2022-11-23T02:17:19.5835577Z 2022-11-23T02:17:19.5835725Z [----------] 6 tests from SerializationTest 2022-11-23T02:17:19.5836069Z [ RUN ] SerializationTest.ExtraFilesHookPreference 2022-11-23T02:17:19.5836548Z [W export_module.cpp:586] Warning: An extra files hook attempted to write metadata.json but this is already written in extra files and so will be skipped. This warning will only appear once per process. (function operator()) 2022-11-23T02:17:19.5840859Z [ OK ] SerializationTest.ExtraFilesHookPreference (0 ms) 2022-11-23T02:17:19.5841390Z [ RUN ] SerializationTest.ExtraFileHooksNoSecret 2022-11-23T02:17:19.5842444Z [ OK ] SerializationTest.ExtraFileHooksNoSecret (0 ms) 2022-11-23T02:17:19.5842943Z [ RUN ] SerializationTest.ExtraFileHooksWithSecret 2022-11-23T02:17:19.5843345Z [ OK ] SerializationTest.ExtraFileHooksWithSecret (0 ms) 2022-11-23T02:17:19.5843675Z [ RUN ] SerializationTest.TypeTags 2022-11-23T02:17:19.5845857Z [ OK ] SerializationTest.TypeTags (0 ms) 2022-11-23T02:17:19.5846195Z [ RUN ] SerializationTest.ParentDirNotExist 2022-11-23T02:17:19.5885989Z [ OK ] SerializationTest.ParentDirNotExist (3 ms) 2022-11-23T02:17:19.5886786Z [ RUN ] SerializationTest.CalculateNecessaryArgsTest 2022-11-23T02:17:19.5887282Z [ OK ] SerializationTest.CalculateNecessaryArgsTest (0 ms) 2022-11-23T02:17:19.5887663Z [----------] 6 tests from SerializationTest (5 ms total) 2022-11-23T02:17:19.5887825Z 2022-11-23T02:17:19.5887979Z [----------] 3 tests from TestSourceRoundTrip 2022-11-23T02:17:19.5888318Z [ RUN ] TestSourceRoundTrip.UpsampleNearest2d 2022-11-23T02:17:19.5900786Z [ OK ] TestSourceRoundTrip.UpsampleNearest2d (1 ms) 2022-11-23T02:17:19.5901446Z [ RUN ] TestSourceRoundTrip.CheckAttrAccess 2022-11-23T02:17:19.5902084Z [ OK ] TestSourceRoundTrip.CheckAttrAccess (0 ms) 2022-11-23T02:17:19.5902515Z [ RUN ] TestSourceRoundTrip.MethodInvocation 2022-11-23T02:17:19.5951587Z [ OK ] TestSourceRoundTrip.MethodInvocation (4 ms) 2022-11-23T02:17:19.5952285Z [----------] 3 tests from TestSourceRoundTrip (6 ms total) 2022-11-23T02:17:19.5952518Z 2022-11-23T02:17:19.5952721Z [----------] 2 tests from FunctionSchemaIsAliasingTest 2022-11-23T02:17:19.5953065Z [ RUN ] FunctionSchemaIsAliasingTest.Basic 2022-11-23T02:17:19.5953418Z [ OK ] FunctionSchemaIsAliasingTest.Basic (0 ms) 2022-11-23T02:17:19.5953791Z [ RUN ] FunctionSchemaIsAliasingTest.InvalidArgument 2022-11-23T02:17:19.5964577Z [ OK ] FunctionSchemaIsAliasingTest.InvalidArgument (1 ms) 2022-11-23T02:17:19.5965360Z [----------] 2 tests from FunctionSchemaIsAliasingTest (1 ms total) 2022-11-23T02:17:19.5965691Z 2022-11-23T02:17:19.5966031Z [----------] 2 tests from FunctionSchemaIsMutableTest 2022-11-23T02:17:19.5966618Z [ RUN ] FunctionSchemaIsMutableTest.Basic 2022-11-23T02:17:19.5967237Z [ OK ] FunctionSchemaIsMutableTest.Basic (0 ms) 2022-11-23T02:17:19.5967899Z [ RUN ] FunctionSchemaIsMutableTest.InvalidArgument 2022-11-23T02:17:19.5984010Z [ OK ] FunctionSchemaIsMutableTest.InvalidArgument (1 ms) 2022-11-23T02:17:19.5984788Z [----------] 2 tests from FunctionSchemaIsMutableTest (1 ms total) 2022-11-23T02:17:19.5985118Z 2022-11-23T02:17:19.5985429Z [----------] 5 tests from SchemaInfoIsMutableTest 2022-11-23T02:17:19.5985971Z [ RUN ] SchemaInfoIsMutableTest.Basic 2022-11-23T02:17:19.5997312Z [ OK ] SchemaInfoIsMutableTest.Basic (0 ms) 2022-11-23T02:17:19.6028989Z [ RUN ] SchemaInfoIsMutableTest.InvalidArgument 2022-11-23T02:17:19.6029752Z [ OK ] SchemaInfoIsMutableTest.InvalidArgument (4 ms) 2022-11-23T02:17:19.6030415Z [ RUN ] SchemaInfoIsMutableTest.AliasingInputs 2022-11-23T02:17:19.6031075Z [ OK ] SchemaInfoIsMutableTest.AliasingInputs (0 ms) 2022-11-23T02:17:19.6031741Z [ RUN ] SchemaInfoIsMutableTest.InstanceNorm 2022-11-23T02:17:19.6032384Z [ OK ] SchemaInfoIsMutableTest.InstanceNorm (0 ms) 2022-11-23T02:17:19.6033001Z [ RUN ] SchemaInfoIsMutableTest.BatchNorm 2022-11-23T02:17:19.6033636Z [ OK ] SchemaInfoIsMutableTest.BatchNorm (0 ms) 2022-11-23T02:17:19.6034290Z [----------] 5 tests from SchemaInfoIsMutableTest (4 ms total) 2022-11-23T02:17:19.6034601Z 2022-11-23T02:17:19.6035139Z [----------] 2 tests from SchemaInfoIsNonDeterministicTest 2022-11-23T02:17:19.6035796Z [ RUN ] SchemaInfoIsNonDeterministicTest.Basic 2022-11-23T02:17:19.6036470Z [ OK ] SchemaInfoIsNonDeterministicTest.Basic (0 ms) 2022-11-23T02:17:19.6037144Z [ RUN ] SchemaInfoIsNonDeterministicTest.Dropout 2022-11-23T02:17:19.6037825Z [ OK ] SchemaInfoIsNonDeterministicTest.Dropout (0 ms) 2022-11-23T02:17:19.6038562Z [----------] 2 tests from SchemaInfoIsNonDeterministicTest (0 ms total) 2022-11-23T02:17:19.6038898Z 2022-11-23T02:17:19.6039228Z [----------] 3 tests from FunctionSchemaMayAliasTest 2022-11-23T02:17:19.6039911Z [ RUN ] FunctionSchemaMayAliasTest.Basic 2022-11-23T02:17:19.6040509Z [ OK ] FunctionSchemaMayAliasTest.Basic (0 ms) 2022-11-23T02:17:19.6041162Z [ RUN ] FunctionSchemaMayAliasTest.InvalidArgument 2022-11-23T02:17:19.6053609Z [ OK ] FunctionSchemaMayAliasTest.InvalidArgument (2 ms) 2022-11-23T02:17:19.6054190Z [ RUN ] FunctionSchemaMayAliasTest.Wildcard 2022-11-23T02:17:19.6054617Z [ OK ] FunctionSchemaMayAliasTest.Wildcard (0 ms) 2022-11-23T02:17:19.6055068Z [----------] 3 tests from FunctionSchemaMayAliasTest (2 ms total) 2022-11-23T02:17:19.6055319Z 2022-11-23T02:17:19.6055575Z [----------] 7 tests from SchemaInfoMayAliasTest 2022-11-23T02:17:19.6056127Z [ RUN ] SchemaInfoMayAliasTest.AliasingInputs 2022-11-23T02:17:19.6056625Z [ OK ] SchemaInfoMayAliasTest.AliasingInputs (0 ms) 2022-11-23T02:17:19.6057142Z [ RUN ] SchemaInfoMayAliasTest.AliasingOutputs 2022-11-23T02:17:19.6057664Z [ OK ] SchemaInfoMayAliasTest.AliasingOutputs (0 ms) 2022-11-23T02:17:19.6058297Z [ RUN ] SchemaInfoMayAliasTest.AliasingInputOutput 2022-11-23T02:17:19.6059000Z [ OK ] SchemaInfoMayAliasTest.AliasingInputOutput (0 ms) 2022-11-23T02:17:19.6059608Z [ RUN ] SchemaInfoMayAliasTest.MultipleWildcardInputs 2022-11-23T02:17:19.6060225Z [ OK ] SchemaInfoMayAliasTest.MultipleWildcardInputs (0 ms) 2022-11-23T02:17:19.6060942Z [ RUN ] SchemaInfoMayAliasTest.MultipleNonWildcardInputs 2022-11-23T02:17:19.6061530Z [W schema_info.cpp:333] Warning: alias::a appears twice in same argument list which will make aliasing checks more conservative. (function operator()) 2022-11-23T02:17:19.6062303Z [ OK ] SchemaInfoMayAliasTest.MultipleNonWildcardInputs (0 ms) 2022-11-23T02:17:19.6062846Z [ RUN ] SchemaInfoMayAliasTest.MultipleNonWildcardOutputs 2022-11-23T02:17:19.6063331Z [W schema_info.cpp:333] Warning: alias::a appears twice in same argument list which will make aliasing checks more conservative. (function operator()) 2022-11-23T02:17:19.6063824Z [ OK ] SchemaInfoMayAliasTest.MultipleNonWildcardOutputs (0 ms) 2022-11-23T02:17:19.6064281Z [ RUN ] SchemaInfoMayAliasTest.MismatchingTypes 2022-11-23T02:17:19.6064662Z [ OK ] SchemaInfoMayAliasTest.MismatchingTypes (0 ms) 2022-11-23T02:17:19.6065189Z [----------] 7 tests from SchemaInfoMayAliasTest (0 ms total) 2022-11-23T02:17:19.6065362Z 2022-11-23T02:17:19.6065569Z [----------] 3 tests from FunctionSchemaMayContainAliasTest 2022-11-23T02:17:19.6065926Z [ RUN ] FunctionSchemaMayContainAliasTest.Basic 2022-11-23T02:17:19.6066303Z [ OK ] FunctionSchemaMayContainAliasTest.Basic (0 ms) 2022-11-23T02:17:19.6066714Z [ RUN ] FunctionSchemaMayContainAliasTest.Wildcard 2022-11-23T02:17:19.6067227Z [ OK ] FunctionSchemaMayContainAliasTest.Wildcard (0 ms) 2022-11-23T02:17:19.6067955Z [ RUN ] FunctionSchemaMayContainAliasTest.InputAndOutputContainers 2022-11-23T02:17:19.6068653Z [ OK ] FunctionSchemaMayContainAliasTest.InputAndOutputContainers (0 ms) 2022-11-23T02:17:19.6069312Z [----------] 3 tests from FunctionSchemaMayContainAliasTest (0 ms total) 2022-11-23T02:17:19.6069504Z 2022-11-23T02:17:19.6069703Z [----------] 6 tests from SchemaInfoMayContainAliasTest 2022-11-23T02:17:19.6070110Z [ RUN ] SchemaInfoMayContainAliasTest.ContainAliasInputsEqual 2022-11-23T02:17:19.6070605Z [ OK ] SchemaInfoMayContainAliasTest.ContainAliasInputsEqual (0 ms) 2022-11-23T02:17:19.6071237Z [ RUN ] SchemaInfoMayContainAliasTest.ContainAliasInputsContained 2022-11-23T02:17:19.6071893Z [ OK ] SchemaInfoMayContainAliasTest.ContainAliasInputsContained (0 ms) 2022-11-23T02:17:19.6072753Z [ RUN ] SchemaInfoMayContainAliasTest.ContainAliasOutputs 2022-11-23T02:17:19.6073200Z [ OK ] SchemaInfoMayContainAliasTest.ContainAliasOutputs (0 ms) 2022-11-23T02:17:19.6073636Z [ RUN ] SchemaInfoMayContainAliasTest.ContainAliasInputOutput 2022-11-23T02:17:19.6074109Z [ OK ] SchemaInfoMayContainAliasTest.ContainAliasInputOutput (0 ms) 2022-11-23T02:17:19.6074577Z [ RUN ] SchemaInfoMayContainAliasTest.InputAndOutputContainers 2022-11-23T02:17:19.6075040Z [ OK ] SchemaInfoMayContainAliasTest.InputAndOutputContainers (0 ms) 2022-11-23T02:17:19.6075455Z [ RUN ] SchemaInfoMayContainAliasTest.Wildcard 2022-11-23T02:17:19.6075827Z [ OK ] SchemaInfoMayContainAliasTest.Wildcard (0 ms) 2022-11-23T02:17:19.6076224Z [----------] 6 tests from SchemaInfoMayContainAliasTest (0 ms total) 2022-11-23T02:17:19.6076399Z 2022-11-23T02:17:19.6076561Z [----------] 2 tests from SchemaMatchingTest 2022-11-23T02:17:19.6076863Z [ RUN ] SchemaMatchingTest.VarType 2022-11-23T02:17:19.6077174Z [ OK ] SchemaMatchingTest.VarType (0 ms) 2022-11-23T02:17:19.6077467Z [ RUN ] SchemaMatchingTest.VarType2 2022-11-23T02:17:19.6077784Z [ OK ] SchemaMatchingTest.VarType2 (0 ms) 2022-11-23T02:17:19.6078129Z [----------] 2 tests from SchemaMatchingTest (0 ms total) 2022-11-23T02:17:19.6078293Z 2022-11-23T02:17:19.6078441Z [----------] 6 tests from StackOptTest 2022-11-23T02:17:19.6078725Z [ RUN ] StackOptTest.UseVariadicStack 2022-11-23T02:17:19.6173205Z [ OK ] StackOptTest.UseVariadicStack (10 ms) 2022-11-23T02:17:19.6173611Z [ RUN ] StackOptTest.UseVariadicStackReplaceMultiple 2022-11-23T02:17:19.6225966Z [ OK ] StackOptTest.UseVariadicStackReplaceMultiple (5 ms) 2022-11-23T02:17:19.6226719Z [ RUN ] StackOptTest.UseVariadicStackWithMultipleListUses 2022-11-23T02:17:19.6254389Z [ OK ] StackOptTest.UseVariadicStackWithMultipleListUses (2 ms) 2022-11-23T02:17:19.6255090Z [ RUN ] StackOptTest.UseVariadicStackWithListMutationAfterCat 2022-11-23T02:17:19.6287695Z [ OK ] StackOptTest.UseVariadicStackWithListMutationAfterCat (3 ms) 2022-11-23T02:17:19.6288490Z [ RUN ] StackOptTest.UseVariadicStackWithListMutationBeforeCat 2022-11-23T02:17:19.6332653Z [ OK ] StackOptTest.UseVariadicStackWithListMutationBeforeCat (4 ms) 2022-11-23T02:17:19.6333349Z [ RUN ] StackOptTest.UseVariadicStackWithMultipleListMutations 2022-11-23T02:17:19.6399635Z [ OK ] StackOptTest.UseVariadicStackWithMultipleListMutations (6 ms) 2022-11-23T02:17:19.6400378Z [----------] 6 tests from StackOptTest (32 ms total) 2022-11-23T02:17:19.6400675Z 2022-11-23T02:17:19.6401018Z [----------] 16 tests from SubgraphMatcherTest 2022-11-23T02:17:19.6401776Z [ RUN ] SubgraphMatcherTest.Trivial1 2022-11-23T02:17:19.6402342Z [ OK ] SubgraphMatcherTest.Trivial1 (0 ms) 2022-11-23T02:17:19.6402864Z [ RUN ] SubgraphMatcherTest.Trivial2 2022-11-23T02:17:19.6403440Z [ OK ] SubgraphMatcherTest.Trivial2 (0 ms) 2022-11-23T02:17:19.6404230Z [ RUN ] SubgraphMatcherTest.Trivial3 2022-11-23T02:17:19.6404794Z [ OK ] SubgraphMatcherTest.Trivial3 (0 ms) 2022-11-23T02:17:19.6405367Z [ RUN ] SubgraphMatcherTest.Trivial4 2022-11-23T02:17:19.6405908Z [ OK ] SubgraphMatcherTest.Trivial4 (0 ms) 2022-11-23T02:17:19.6406447Z [ RUN ] SubgraphMatcherTest.Linear1 2022-11-23T02:17:19.6407023Z [ OK ] SubgraphMatcherTest.Linear1 (0 ms) 2022-11-23T02:17:19.6407561Z [ RUN ] SubgraphMatcherTest.Linear2 2022-11-23T02:17:19.6408096Z [ OK ] SubgraphMatcherTest.Linear2 (0 ms) 2022-11-23T02:17:19.6408653Z [ RUN ] SubgraphMatcherTest.Diamond1 2022-11-23T02:17:19.6409334Z [ OK ] SubgraphMatcherTest.Diamond1 (0 ms) 2022-11-23T02:17:19.6409871Z [ RUN ] SubgraphMatcherTest.Diamond2 2022-11-23T02:17:19.6410215Z [ OK ] SubgraphMatcherTest.Diamond2 (0 ms) 2022-11-23T02:17:19.6410523Z [ RUN ] SubgraphMatcherTest.XPattern 2022-11-23T02:17:19.6410827Z [ OK ] SubgraphMatcherTest.XPattern (0 ms) 2022-11-23T02:17:19.6411159Z [ RUN ] SubgraphMatcherTest.MultipleMatches 2022-11-23T02:17:19.6411511Z [ OK ] SubgraphMatcherTest.MultipleMatches (0 ms) 2022-11-23T02:17:19.6411876Z [ RUN ] SubgraphMatcherTest.OverlappingMatches 2022-11-23T02:17:19.6412241Z [ OK ] SubgraphMatcherTest.OverlappingMatches (0 ms) 2022-11-23T02:17:19.6412617Z [ RUN ] SubgraphMatcherTest.MatchInBasicBlocks1 2022-11-23T02:17:19.6412995Z [ OK ] SubgraphMatcherTest.MatchInBasicBlocks1 (0 ms) 2022-11-23T02:17:19.6413358Z [ RUN ] SubgraphMatcherTest.MatchInBasicBlocks2 2022-11-23T02:17:19.6413730Z [ OK ] SubgraphMatcherTest.MatchInBasicBlocks2 (0 ms) 2022-11-23T02:17:19.6414095Z [ RUN ] SubgraphMatcherTest.MatchesAttributes 2022-11-23T02:17:19.6414451Z [ OK ] SubgraphMatcherTest.MatchesAttributes (0 ms) 2022-11-23T02:17:19.6414794Z [ RUN ] SubgraphMatcherTest.BadPattern 2022-11-23T02:17:19.6432734Z [ OK ] SubgraphMatcherTest.BadPattern (2 ms) 2022-11-23T02:17:19.6433333Z [ RUN ] SubgraphMatcherTest.MultiOutput 2022-11-23T02:17:19.6433842Z [ OK ] SubgraphMatcherTest.MultiOutput (0 ms) 2022-11-23T02:17:19.6434494Z [----------] 16 tests from SubgraphMatcherTest (3 ms total) 2022-11-23T02:17:19.6434739Z 2022-11-23T02:17:19.6434913Z [----------] 4 tests from SubgraphRewriterTest 2022-11-23T02:17:19.6435253Z [ RUN ] SubgraphRewriterTest.FilterMatch 2022-11-23T02:17:19.6435826Z [ OK ] SubgraphRewriterTest.FilterMatch (0 ms) 2022-11-23T02:17:19.6436461Z [ RUN ] SubgraphRewriterTest.FilterNoMatch 2022-11-23T02:17:19.6436863Z [ OK ] SubgraphRewriterTest.FilterNoMatch (0 ms) 2022-11-23T02:17:19.6437192Z [ RUN ] SubgraphRewriterTest.MultiOutput 2022-11-23T02:17:19.6439953Z [ OK ] SubgraphRewriterTest.MultiOutput (0 ms) 2022-11-23T02:17:19.6440399Z [ RUN ] SubgraphRewriterTest.OutputType 2022-11-23T02:17:19.6441256Z [ OK ] SubgraphRewriterTest.OutputType (0 ms) 2022-11-23T02:17:19.6441900Z [----------] 4 tests from SubgraphRewriterTest (0 ms total) 2022-11-23T02:17:19.6442162Z 2022-11-23T02:17:19.6442326Z [----------] 3 tests from SubgraphUtilsTest 2022-11-23T02:17:19.6442616Z [ RUN ] SubgraphUtilsTest.Basic 2022-11-23T02:17:19.6445252Z [ OK ] SubgraphUtilsTest.Basic (0 ms) 2022-11-23T02:17:19.6445586Z [ RUN ] SubgraphUtilsTest.MergeSubgraphs 2022-11-23T02:17:19.6448170Z [ OK ] SubgraphUtilsTest.MergeSubgraphs (0 ms) 2022-11-23T02:17:19.6448694Z [ RUN ] SubgraphUtilsTest.GraphName 2022-11-23T02:17:19.6449290Z [ OK ] SubgraphUtilsTest.GraphName (0 ms) 2022-11-23T02:17:19.6450005Z [----------] 3 tests from SubgraphUtilsTest (0 ms total) 2022-11-23T02:17:19.6450304Z 2022-11-23T02:17:19.6450575Z [----------] 8 tests from UnionTypeTest 2022-11-23T02:17:19.6451119Z [ RUN ] UnionTypeTest.UnionOperatorEquals 2022-11-23T02:17:19.6451629Z [ OK ] UnionTypeTest.UnionOperatorEquals (0 ms) 2022-11-23T02:17:19.6452304Z [ RUN ] UnionTypeTest.UnionCreate_OptionalT1AndOptionalT2 2022-11-23T02:17:19.6452752Z [ OK ] UnionTypeTest.UnionCreate_OptionalT1AndOptionalT2 (0 ms) 2022-11-23T02:17:19.6453102Z [ RUN ] UnionTypeTest.UnionCreate_OptionalTAndT 2022-11-23T02:17:19.6453522Z [ OK ] UnionTypeTest.UnionCreate_OptionalTAndT (0 ms) 2022-11-23T02:17:19.6453981Z [ RUN ] UnionTypeTest.UnionCreate_TupleWithSubtypingRelationship 2022-11-23T02:17:19.6454410Z [ OK ] UnionTypeTest.UnionCreate_TupleWithSubtypingRelationship (0 ms) 2022-11-23T02:17:19.6454794Z [ RUN ] UnionTypeTest.UnionCreate_ContainerTAndT 2022-11-23T02:17:19.6455145Z [ OK ] UnionTypeTest.UnionCreate_ContainerTAndT (0 ms) 2022-11-23T02:17:19.6455546Z [ RUN ] UnionTypeTest.UnionCreate_OptionalContainerTAndContainerTAndT 2022-11-23T02:17:19.6455981Z [ OK ] UnionTypeTest.UnionCreate_OptionalContainerTAndContainerTAndT (0 ms) 2022-11-23T02:17:19.6456358Z [ RUN ] UnionTypeTest.Subtyping_NumberType 2022-11-23T02:17:19.6456688Z [ OK ] UnionTypeTest.Subtyping_NumberType (0 ms) 2022-11-23T02:17:19.6457007Z [ RUN ] UnionTypeTest.Subtyping_OptionalType 2022-11-23T02:17:19.6457344Z [ OK ] UnionTypeTest.Subtyping_OptionalType (0 ms) 2022-11-23T02:17:19.6457678Z [----------] 8 tests from UnionTypeTest (0 ms total) 2022-11-23T02:17:19.6457828Z 2022-11-23T02:17:19.6457986Z [----------] 2 tests from ScriptProfileTest 2022-11-23T02:17:19.6458261Z [ RUN ] ScriptProfileTest.Basic 2022-11-23T02:17:19.6458561Z [ OK ] ScriptProfileTest.Basic (0 ms) 2022-11-23T02:17:19.6459039Z [ RUN ] ScriptProfileTest.CallingOrder 2022-11-23T02:17:19.6475000Z [ OK ] ScriptProfileTest.CallingOrder (2 ms) 2022-11-23T02:17:19.6475720Z [----------] 2 tests from ScriptProfileTest (2 ms total) 2022-11-23T02:17:19.6475889Z 2022-11-23T02:17:19.6476052Z [----------] 7 tests from ShapeAnalysisTest 2022-11-23T02:17:19.6476378Z [ RUN ] ShapeAnalysisTest.DynamicShapesFusion 2022-11-23T02:17:19.6549460Z [ OK ] ShapeAnalysisTest.DynamicShapesFusion (7 ms) 2022-11-23T02:17:19.6566495Z [ RUN ] ShapeAnalysisTest.MovingConstantOutOfFusionGroups 2022-11-23T02:17:19.6567151Z [ OK ] ShapeAnalysisTest.MovingConstantOutOfFusionGroups (1 ms) 2022-11-23T02:17:19.6567542Z [ RUN ] ShapeAnalysisTest.SymbolicShapeAPI 2022-11-23T02:17:19.6640505Z [ OK ] ShapeAnalysisTest.SymbolicShapeAPI (7 ms) 2022-11-23T02:17:19.6641185Z [ RUN ] ShapeAnalysisTest.BoundedSymbolicShapes 2022-11-23T02:17:19.6647292Z [ OK ] ShapeAnalysisTest.BoundedSymbolicShapes (0 ms) 2022-11-23T02:17:19.6647864Z [ RUN ] ShapeAnalysisTest.SymbolicShapeCaching 2022-11-23T02:17:19.6654391Z [ OK ] ShapeAnalysisTest.SymbolicShapeCaching (0 ms) 2022-11-23T02:17:19.6655007Z [ RUN ] ShapeAnalysisTest.ShapeCacheMultipleFns 2022-11-23T02:17:19.6683451Z [ OK ] ShapeAnalysisTest.ShapeCacheMultipleFns (2 ms) 2022-11-23T02:17:19.6684037Z [ RUN ] ShapeAnalysisTest.TestShapeMultipleReturns 2022-11-23T02:17:19.6696551Z [ OK ] ShapeAnalysisTest.TestShapeMultipleReturns (1 ms) 2022-11-23T02:17:19.6697217Z [----------] 7 tests from ShapeAnalysisTest (22 ms total) 2022-11-23T02:17:19.6697489Z 2022-11-23T02:17:19.6697721Z [----------] 5 tests from JitLoggingTest 2022-11-23T02:17:19.6698349Z [ RUN ] JitLoggingTest.CheckSetLoggingLevel 2022-11-23T02:17:19.6699071Z [ OK ] JitLoggingTest.CheckSetLoggingLevel (0 ms) 2022-11-23T02:17:19.6699717Z [ RUN ] JitLoggingTest.CheckSetMultipleLogLevels 2022-11-23T02:17:19.6700327Z [ OK ] JitLoggingTest.CheckSetMultipleLogLevels (0 ms) 2022-11-23T02:17:19.6700942Z [ RUN ] JitLoggingTest.CheckLoggingLevelAfterUnset 2022-11-23T02:17:19.6701576Z [ OK ] JitLoggingTest.CheckLoggingLevelAfterUnset (0 ms) 2022-11-23T02:17:19.6702181Z [ RUN ] JitLoggingTest.CheckAfterChangingLevel 2022-11-23T02:17:19.6702920Z [ OK ] JitLoggingTest.CheckAfterChangingLevel (0 ms) 2022-11-23T02:17:19.6703529Z [ RUN ] JitLoggingTest.CheckOutputStreamSetting 2022-11-23T02:17:19.6704153Z [ OK ] JitLoggingTest.CheckOutputStreamSetting (0 ms) 2022-11-23T02:17:19.6704688Z [----------] 5 tests from JitLoggingTest (0 ms total) 2022-11-23T02:17:19.6704942Z 2022-11-23T02:17:19.6705199Z [----------] 9 tests from FileFormatTest 2022-11-23T02:17:19.6705737Z [ RUN ] FileFormatTest.IdentifiesFlatbufferStream 2022-11-23T02:17:19.6706394Z [ OK ] FileFormatTest.IdentifiesFlatbufferStream (0 ms) 2022-11-23T02:17:19.6707049Z [ RUN ] FileFormatTest.IdentifiesZipStream 2022-11-23T02:17:19.6707607Z [ OK ] FileFormatTest.IdentifiesZipStream (0 ms) 2022-11-23T02:17:19.6708149Z [ RUN ] FileFormatTest.FlatbufferTakesPrecedence 2022-11-23T02:17:19.6708747Z [ OK ] FileFormatTest.FlatbufferTakesPrecedence (0 ms) 2022-11-23T02:17:19.6709366Z [ RUN ] FileFormatTest.HandlesUnknownStream 2022-11-23T02:17:19.6709923Z [ OK ] FileFormatTest.HandlesUnknownStream (0 ms) 2022-11-23T02:17:19.6710433Z [ RUN ] FileFormatTest.ShortStreamIsUnknown 2022-11-23T02:17:19.6710967Z [ OK ] FileFormatTest.ShortStreamIsUnknown (0 ms) 2022-11-23T02:17:19.6711492Z [ RUN ] FileFormatTest.EmptyStreamIsUnknown 2022-11-23T02:17:19.6712070Z [ OK ] FileFormatTest.EmptyStreamIsUnknown (0 ms) 2022-11-23T02:17:19.6712594Z [ RUN ] FileFormatTest.BadStreamIsUnknown 2022-11-23T02:17:19.6713123Z [ OK ] FileFormatTest.BadStreamIsUnknown (0 ms) 2022-11-23T02:17:19.6713764Z [ RUN ] FileFormatTest.StreamOffsetIsObservedAndRestored 2022-11-23T02:17:19.6714410Z [ OK ] FileFormatTest.StreamOffsetIsObservedAndRestored (0 ms) 2022-11-23T02:17:19.6715008Z [ RUN ] FileFormatTest.HandlesMissingFile 2022-11-23T02:17:19.6715579Z [ OK ] FileFormatTest.HandlesMissingFile (0 ms) 2022-11-23T02:17:19.6716065Z [----------] 9 tests from FileFormatTest (0 ms total) 2022-11-23T02:17:19.6716347Z 2022-11-23T02:17:19.6716573Z [----------] 35 tests from FlatbufferTest 2022-11-23T02:17:19.6717022Z [ RUN ] FlatbufferTest.UpsampleNearest2d 2022-11-23T02:17:19.6722485Z [ OK ] FlatbufferTest.UpsampleNearest2d (2 ms) 2022-11-23T02:17:19.6723170Z [ RUN ] FlatbufferTest.UpsampleNearest2dWithCopyTensorMemory 2022-11-23T02:17:19.6733497Z [ OK ] FlatbufferTest.UpsampleNearest2dWithCopyTensorMemory (1 ms) 2022-11-23T02:17:19.6734240Z [ RUN ] FlatbufferTest.CheckAttrAccess 2022-11-23T02:17:19.6734613Z [ OK ] FlatbufferTest.CheckAttrAccess (0 ms) 2022-11-23T02:17:19.6734933Z [ RUN ] FlatbufferTest.MethodInvocation 2022-11-23T02:17:19.6754807Z [ OK ] FlatbufferTest.MethodInvocation (2 ms) 2022-11-23T02:17:19.6755452Z [ RUN ] FlatbufferTest.FlatbufferBackPortTest 2022-11-23T02:17:19.6784045Z [ OK ] FlatbufferTest.FlatbufferBackPortTest (2 ms) 2022-11-23T02:17:19.6784610Z [ RUN ] FlatbufferTest.ExtraFiles 2022-11-23T02:17:19.6787427Z [ OK ] FlatbufferTest.ExtraFiles (0 ms) 2022-11-23T02:17:19.6788077Z [ RUN ] FlatbufferTest.Conv 2022-11-23T02:17:19.6803213Z [ OK ] FlatbufferTest.Conv (1 ms) 2022-11-23T02:17:19.6803813Z [ RUN ] FlatbufferTest.ConvWithCopyTensorMemory 2022-11-23T02:17:19.6820087Z [ OK ] FlatbufferTest.ConvWithCopyTensorMemory (1 ms) 2022-11-23T02:17:19.6820459Z [ RUN ] FlatbufferTest.Inline 2022-11-23T02:17:19.6827734Z [ OK ] FlatbufferTest.Inline (0 ms) 2022-11-23T02:17:19.6828357Z [ RUN ] FlatbufferTest.InlineWithCopyTensorMemory 2022-11-23T02:17:19.6834006Z [ OK ] FlatbufferTest.InlineWithCopyTensorMemory (0 ms) 2022-11-23T02:17:19.6834619Z [ RUN ] FlatbufferTest.Tuple 2022-11-23T02:17:19.6838724Z [ OK ] FlatbufferTest.Tuple (0 ms) 2022-11-23T02:17:19.6839235Z [ RUN ] FlatbufferTest.Dict 2022-11-23T02:17:19.6843379Z [ OK ] FlatbufferTest.Dict (0 ms) 2022-11-23T02:17:19.6843902Z [ RUN ] FlatbufferTest.Prim 2022-11-23T02:17:19.6846634Z [ OK ] FlatbufferTest.Prim (0 ms) 2022-11-23T02:17:19.6847180Z [ RUN ] FlatbufferTest.PrimScalar 2022-11-23T02:17:19.6850514Z [ OK ] FlatbufferTest.PrimScalar (0 ms) 2022-11-23T02:17:19.6851082Z [ RUN ] FlatbufferTest.WrongMethodName 2022-11-23T02:17:19.6876750Z [ OK ] FlatbufferTest.WrongMethodName (2 ms) 2022-11-23T02:17:19.6877291Z [ RUN ] FlatbufferTest.SetState 2022-11-23T02:17:19.6896465Z [ OK ] FlatbufferTest.SetState (1 ms) 2022-11-23T02:17:19.6897033Z [ RUN ] FlatbufferTest.BuiltinClass 2022-11-23T02:17:19.6902188Z [ OK ] FlatbufferTest.BuiltinClass (0 ms) 2022-11-23T02:17:19.6902754Z [ RUN ] FlatbufferTest.BuiltinFunction 2022-11-23T02:17:19.6904557Z [ OK ] FlatbufferTest.BuiltinFunction (0 ms) 2022-11-23T02:17:19.6904898Z [ RUN ] FlatbufferTest.Eval 2022-11-23T02:17:19.6909879Z [ OK ] FlatbufferTest.Eval (0 ms) 2022-11-23T02:17:19.6910278Z [ RUN ] FlatbufferTest.FindWrongMethodName 2022-11-23T02:17:19.6912745Z [ OK ] FlatbufferTest.FindWrongMethodName (0 ms) 2022-11-23T02:17:19.6913172Z [ RUN ] FlatbufferTest.FindAndRunMethod 2022-11-23T02:17:19.6918899Z [ OK ] FlatbufferTest.FindAndRunMethod (0 ms) 2022-11-23T02:17:19.6919296Z [ RUN ] FlatbufferTest.RunMethodVariadic 2022-11-23T02:17:19.6924671Z [ OK ] FlatbufferTest.RunMethodVariadic (0 ms) 2022-11-23T02:17:19.6925070Z [ RUN ] FlatbufferTest.DuplicateSetState 2022-11-23T02:17:19.6933162Z [ OK ] FlatbufferTest.DuplicateSetState (0 ms) 2022-11-23T02:17:19.6933619Z [ RUN ] FlatbufferTest.OpNameExportFetchRootOperators 2022-11-23T02:17:19.6939531Z [ OK ] FlatbufferTest.OpNameExportFetchRootOperators (0 ms) 2022-11-23T02:17:19.6939961Z [ RUN ] FlatbufferTest.DefaultArgsConv 2022-11-23T02:17:19.6950388Z [ OK ] FlatbufferTest.DefaultArgsConv (1 ms) 2022-11-23T02:17:19.6950784Z [ RUN ] FlatbufferTest.DefaultArgsPinv 2022-11-23T02:17:19.7000831Z [ OK ] FlatbufferTest.DefaultArgsPinv (5 ms) 2022-11-23T02:17:19.7001289Z [ RUN ] FlatbufferTest.DefaultArgsTensorinvSpecifyDefault 2022-11-23T02:17:19.7010723Z [ OK ] FlatbufferTest.DefaultArgsTensorinvSpecifyDefault (0 ms) 2022-11-23T02:17:19.7011201Z [ RUN ] FlatbufferTest.DefaultArgsPinvWithOutArg 2022-11-23T02:17:19.7029431Z [ OK ] FlatbufferTest.DefaultArgsPinvWithOutArg (1 ms) 2022-11-23T02:17:19.7029860Z [ RUN ] FlatbufferTest.DefaultArgsWithOutArg 2022-11-23T02:17:19.7039056Z [ OK ] FlatbufferTest.DefaultArgsWithOutArg (0 ms) 2022-11-23T02:17:19.7039517Z [ RUN ] FlatbufferTest.OperatorCacheDifferentiatesDefaultArgs 2022-11-23T02:17:19.7062661Z [ OK ] FlatbufferTest.OperatorCacheDifferentiatesDefaultArgs (2 ms) 2022-11-23T02:17:19.7063075Z [ RUN ] FlatbufferTest.OperatorSize1 2022-11-23T02:17:19.7065795Z [ OK ] FlatbufferTest.OperatorSize1 (0 ms) 2022-11-23T02:17:19.7066210Z [ RUN ] FlatbufferTest.BoolAndDoubleList 2022-11-23T02:17:19.7066636Z [ OK ] FlatbufferTest.BoolAndDoubleList (0 ms) 2022-11-23T02:17:19.7066958Z [ RUN ] FlatbufferTest.OperatorTest2 2022-11-23T02:17:19.7077018Z [ OK ] FlatbufferTest.OperatorTest2 (1 ms) 2022-11-23T02:17:19.7077522Z [ RUN ] FlatbufferTest.DetachedBufferSmoke 2022-11-23T02:17:19.7077884Z [ OK ] FlatbufferTest.DetachedBufferSmoke (0 ms) 2022-11-23T02:17:19.7078242Z [ RUN ] FlatbufferTest.DetachedBufferNullOwner 2022-11-23T02:17:19.7078602Z [ OK ] FlatbufferTest.DetachedBufferNullOwner (0 ms) 2022-11-23T02:17:19.7078966Z [----------] 35 tests from FlatbufferTest (37 ms total) 2022-11-23T02:17:19.7079127Z 2022-11-23T02:17:19.7079298Z [----------] 3 tests from TestSourceFlatbuffer 2022-11-23T02:17:19.7079638Z [ RUN ] TestSourceFlatbuffer.UpsampleNearest2d 2022-11-23T02:17:19.7092665Z [ OK ] TestSourceFlatbuffer.UpsampleNearest2d (1 ms) 2022-11-23T02:17:19.7093186Z [ RUN ] TestSourceFlatbuffer.CheckAttrAccess 2022-11-23T02:17:19.7093668Z [ OK ] TestSourceFlatbuffer.CheckAttrAccess (0 ms) 2022-11-23T02:17:19.7094021Z [ RUN ] TestSourceFlatbuffer.MethodInvocation 2022-11-23T02:17:19.7146867Z [ OK ] TestSourceFlatbuffer.MethodInvocation (5 ms) 2022-11-23T02:17:19.7147427Z [----------] 3 tests from TestSourceFlatbuffer (6 ms total) 2022-11-23T02:17:19.7147699Z 2022-11-23T02:17:19.7147959Z [----------] 10 tests from FlatbufferUpgraderTest 2022-11-23T02:17:19.7148358Z [ RUN ] FlatbufferUpgraderTest.DivTensorV2 2022-11-23T02:17:19.7148821Z [ OK ] FlatbufferUpgraderTest.DivTensorV2 (0 ms) 2022-11-23T02:17:19.7149387Z [ RUN ] FlatbufferUpgraderTest.DivTensorOutV2 2022-11-23T02:17:19.7149934Z [ OK ] FlatbufferUpgraderTest.DivTensorOutV2 (0 ms) 2022-11-23T02:17:19.7150500Z [ RUN ] FlatbufferUpgraderTest.DivTensorInplaceV2 2022-11-23T02:17:19.7150972Z [ OK ] FlatbufferUpgraderTest.DivTensorInplaceV2 (0 ms) 2022-11-23T02:17:19.7151445Z [ RUN ] FlatbufferUpgraderTest.DivScalarFloatV2 2022-11-23T02:17:19.7152017Z [ OK ] FlatbufferUpgraderTest.DivScalarFloatV2 (0 ms) 2022-11-23T02:17:19.7152730Z [ RUN ] FlatbufferUpgraderTest.DivScalarReciprocalFloatV2 2022-11-23T02:17:19.7153494Z [ OK ] FlatbufferUpgraderTest.DivScalarReciprocalFloatV2 (0 ms) 2022-11-23T02:17:19.7153973Z [ RUN ] FlatbufferUpgraderTest.DivScalarReciprocalIntV2 2022-11-23T02:17:19.7154532Z [ OK ] FlatbufferUpgraderTest.DivScalarReciprocalIntV2 (0 ms) 2022-11-23T02:17:19.7154998Z [ RUN ] FlatbufferUpgraderTest.DivScalarScalarV2 2022-11-23T02:17:19.7155382Z [ OK ] FlatbufferUpgraderTest.DivScalarScalarV2 (0 ms) 2022-11-23T02:17:19.7155807Z [ RUN ] FlatbufferUpgraderTest.DivScalarIntV2 2022-11-23T02:17:19.7156467Z [ OK ] FlatbufferUpgraderTest.DivScalarIntV2 (0 ms) 2022-11-23T02:17:19.7157152Z [ RUN ] FlatbufferUpgraderTest.DivScalarInplaceFloatV2 2022-11-23T02:17:19.7157705Z [ OK ] FlatbufferUpgraderTest.DivScalarInplaceFloatV2 (0 ms) 2022-11-23T02:17:19.7158106Z [ RUN ] FlatbufferUpgraderTest.DivScalarInplaceIntV2 2022-11-23T02:17:19.7158597Z [ OK ] FlatbufferUpgraderTest.DivScalarInplaceIntV2 (0 ms) 2022-11-23T02:17:19.7159289Z [----------] 10 tests from FlatbufferUpgraderTest (0 ms total) 2022-11-23T02:17:19.7159601Z 2022-11-23T02:17:19.7160059Z [----------] 12 tests from AliasAnalysisTest/BatchAndInstanceNormFixture 2022-11-23T02:17:19.7160889Z [ RUN ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/0 2022-11-23T02:17:19.7161774Z [ OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/0 (0 ms) 2022-11-23T02:17:19.7162637Z [ RUN ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/1 2022-11-23T02:17:19.7163528Z [ OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/1 (0 ms) 2022-11-23T02:17:19.7164414Z [ RUN ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/2 2022-11-23T02:17:19.7165365Z [ OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/2 (0 ms) 2022-11-23T02:17:19.7166227Z [ RUN ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/3 2022-11-23T02:17:19.7167106Z [ OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNorm/3 (0 ms) 2022-11-23T02:17:19.7168100Z [ RUN ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/0 2022-11-23T02:17:19.7168813Z [ OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/0 (0 ms) 2022-11-23T02:17:19.7169395Z [ RUN ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/1 2022-11-23T02:17:19.7169996Z [ OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/1 (0 ms) 2022-11-23T02:17:19.7170597Z [ RUN ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/2 2022-11-23T02:17:19.7171196Z [ OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/2 (0 ms) 2022-11-23T02:17:19.7171775Z [ RUN ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/3 2022-11-23T02:17:19.7172388Z [ OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchAndInstanceNormTrainingUnknown/3 (0 ms) 2022-11-23T02:17:19.7172968Z [ RUN ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/0 2022-11-23T02:17:19.7173547Z [ OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/0 (0 ms) 2022-11-23T02:17:19.7174106Z [ RUN ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/1 2022-11-23T02:17:19.7174682Z [ OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/1 (0 ms) 2022-11-23T02:17:19.7175256Z [ RUN ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/2 2022-11-23T02:17:19.7175829Z [ OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/2 (0 ms) 2022-11-23T02:17:19.7176388Z [ RUN ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/3 2022-11-23T02:17:19.7176964Z [ OK ] AliasAnalysisTest/BatchAndInstanceNormFixture.BatchNormTrainingWithNoMeanOrVar/3 (0 ms) 2022-11-23T02:17:19.7177471Z [----------] 12 tests from AliasAnalysisTest/BatchAndInstanceNormFixture (1 ms total) 2022-11-23T02:17:19.7177673Z 2022-11-23T02:17:19.7177914Z [----------] 10 tests from PyTorch/LiteInterpreterDynamicTypeTestFixture 2022-11-23T02:17:19.7178353Z [ RUN ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/0 2022-11-23T02:17:20.5517077Z [ OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/0 (834 ms) 2022-11-23T02:17:20.5517626Z [ RUN ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/1 2022-11-23T02:17:21.7197460Z [ OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/1 (1168 ms) 2022-11-23T02:17:21.7198276Z [ RUN ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/2 2022-11-23T02:17:23.1395478Z [ OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/2 (1419 ms) 2022-11-23T02:17:23.1396088Z [ RUN ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/3 2022-11-23T02:17:24.5059587Z [ OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/3 (1366 ms) 2022-11-23T02:17:24.5060113Z [ RUN ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/4 2022-11-23T02:17:25.8801733Z [ OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/4 (1374 ms) 2022-11-23T02:17:27.2451216Z [ RUN ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/5 2022-11-23T02:17:27.2451755Z [ OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/5 (1364 ms) 2022-11-23T02:17:27.2452235Z [ RUN ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/6 2022-11-23T02:17:28.6178068Z [ OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/6 (1372 ms) 2022-11-23T02:17:28.6178598Z [ RUN ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/7 2022-11-23T02:17:29.9580896Z [ OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/7 (1340 ms) 2022-11-23T02:17:29.9581435Z [ RUN ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/8 2022-11-23T02:17:31.1816524Z [ OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/8 (1223 ms) 2022-11-23T02:17:31.1817059Z [ RUN ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/9 2022-11-23T02:17:32.4022393Z [ OK ] PyTorch/LiteInterpreterDynamicTypeTestFixture.Conformance/9 (1220 ms) 2022-11-23T02:17:32.4022962Z [----------] 10 tests from PyTorch/LiteInterpreterDynamicTypeTestFixture (12685 ms total) 2022-11-23T02:17:32.4023196Z 2022-11-23T02:17:32.4023362Z [----------] Global test environment tear-down 2022-11-23T02:17:32.4087867Z [==========] 568 tests from 118 test suites ran. (13915 ms total) 2022-11-23T02:17:32.4088166Z [ PASSED ] 568 tests. 2022-11-23T02:17:32.4811908Z + [[ parallelnative-linux-focal-py3.7-gcc7 == *cuda* ]] 2022-11-23T02:17:32.4812432Z + /opt/conda/lib/python3.7/site-packages/torch/bin/test_lazy --gtest_output=xml:test/test-reports/cpp-unittest/test_libtorch/test_lazy.xml 2022-11-23T02:17:32.7782574Z CUDA not available. Disabling CUDA and MultiCUDA tests 2022-11-23T02:17:32.7784396Z Note: Google Test filter = *-*_CUDA:*_MultiCUDA 2022-11-23T02:17:32.7784719Z [==========] Running 612 tests from 10 test suites. 2022-11-23T02:17:32.7785068Z [----------] Global test environment set-up. 2022-11-23T02:17:32.7785400Z [----------] 11 tests from BackendDeviceTest 2022-11-23T02:17:32.7785735Z [ RUN ] BackendDeviceTest.BackendDeviceType 2022-11-23T02:17:32.7786084Z [ OK ] BackendDeviceTest.BackendDeviceType (0 ms) 2022-11-23T02:17:32.7786421Z [ RUN ] BackendDeviceTest.Basic1 2022-11-23T02:17:32.7786730Z [ OK ] BackendDeviceTest.Basic1 (0 ms) 2022-11-23T02:17:32.7787015Z [ RUN ] BackendDeviceTest.Basic2 2022-11-23T02:17:32.7787315Z [ OK ] BackendDeviceTest.Basic2 (0 ms) 2022-11-23T02:17:32.7787647Z [ RUN ] BackendDeviceTest.Basic3 2022-11-23T02:17:32.7788118Z [ OK ] BackendDeviceTest.Basic3 (0 ms) 2022-11-23T02:17:32.7788456Z [ RUN ] BackendDeviceTest.Basic4 2022-11-23T02:17:32.7788759Z [ OK ] BackendDeviceTest.Basic4 (0 ms) 2022-11-23T02:17:32.7789050Z [ RUN ] BackendDeviceTest.Compare 2022-11-23T02:17:32.7789458Z [ OK ] BackendDeviceTest.Compare (0 ms) 2022-11-23T02:17:32.7789764Z [ RUN ] BackendDeviceTest.Ostream 2022-11-23T02:17:32.7790072Z [ OK ] BackendDeviceTest.Ostream (0 ms) 2022-11-23T02:17:32.7790570Z [ RUN ] BackendDeviceTest.FromAten 2022-11-23T02:17:32.7835395Z [ OK ] BackendDeviceTest.FromAten (5 ms) 2022-11-23T02:17:32.7835995Z [ RUN ] BackendDeviceTest.ToAten 2022-11-23T02:17:32.7836313Z [ OK ] BackendDeviceTest.ToAten (0 ms) 2022-11-23T02:17:32.7836653Z [ RUN ] BackendDeviceTest.GetBackendDevice1 2022-11-23T02:17:32.8023424Z [ OK ] BackendDeviceTest.GetBackendDevice1 (18 ms) 2022-11-23T02:17:32.8024124Z [ RUN ] BackendDeviceTest.GetBackendDevice2 2022-11-23T02:17:32.8024816Z [ OK ] BackendDeviceTest.GetBackendDevice2 (0 ms) 2022-11-23T02:17:32.8025674Z [----------] 11 tests from BackendDeviceTest (24 ms total) 2022-11-23T02:17:32.8025976Z 2022-11-23T02:17:32.8026239Z [----------] 2 tests from CacheTest 2022-11-23T02:17:32.8026701Z [ RUN ] CacheTest.BasicTest 2022-11-23T02:17:32.8027211Z [ OK ] CacheTest.BasicTest (0 ms) 2022-11-23T02:17:32.8027837Z [ RUN ] CacheTest.ShapeCacheTestForDynamicShape 2022-11-23T02:17:32.8028547Z [ OK ] CacheTest.ShapeCacheTestForDynamicShape (0 ms) 2022-11-23T02:17:32.8029250Z [----------] 2 tests from CacheTest (0 ms total) 2022-11-23T02:17:32.8029522Z 2022-11-23T02:17:32.8029775Z [----------] 5 tests from IrTest 2022-11-23T02:17:32.8030238Z [ RUN ] IrTest.BasicTest 2022-11-23T02:17:32.8030704Z [ OK ] IrTest.BasicTest (0 ms) 2022-11-23T02:17:32.8031183Z [ RUN ] IrTest.MetaDataTest 2022-11-23T02:17:32.8031693Z [ OK ] IrTest.MetaDataTest (0 ms) 2022-11-23T02:17:32.8032185Z [ RUN ] IrTest.TsNodeTest 2022-11-23T02:17:32.8032682Z [ OK ] IrTest.TsNodeTest (0 ms) 2022-11-23T02:17:32.8033201Z [ RUN ] IrTest.DimensionNodeTest 2022-11-23T02:17:32.8033734Z [ OK ] IrTest.DimensionNodeTest (0 ms) 2022-11-23T02:17:32.8034317Z [ RUN ] IrTest.DimensionIsDynamicTest 2022-11-23T02:17:32.8034920Z [ OK ] IrTest.DimensionIsDynamicTest (0 ms) 2022-11-23T02:17:32.8035498Z [----------] 5 tests from IrTest (0 ms total) 2022-11-23T02:17:32.8035737Z 2022-11-23T02:17:32.8036003Z [----------] 2 tests from IrUtilTest 2022-11-23T02:17:32.8036497Z [ RUN ] IrUtilTest.BasicTest 2022-11-23T02:17:32.8037021Z [ OK ] IrUtilTest.BasicTest (0 ms) 2022-11-23T02:17:32.8037519Z [ RUN ] IrUtilTest.TestCircle 2022-11-23T02:17:32.8050698Z [ OK ] IrUtilTest.TestCircle (2 ms) 2022-11-23T02:17:32.8051302Z [----------] 2 tests from IrUtilTest (2 ms total) 2022-11-23T02:17:32.8051613Z 2022-11-23T02:17:32.8051865Z [----------] 2 tests from HashTest 2022-11-23T02:17:32.8052129Z [ RUN ] HashTest.Scalar 2022-11-23T02:17:32.8052392Z [ OK ] HashTest.Scalar (0 ms) 2022-11-23T02:17:32.8052646Z [ RUN ] HashTest.Sanity 2022-11-23T02:17:32.8052896Z [ OK ] HashTest.Sanity (0 ms) 2022-11-23T02:17:32.8053184Z [----------] 2 tests from HashTest (0 ms total) 2022-11-23T02:17:32.8053328Z 2022-11-23T02:17:32.8053498Z [----------] 3 tests from PermutationUtilTest 2022-11-23T02:17:32.8053838Z [ RUN ] PermutationUtilTest.TestInversePermutation 2022-11-23T02:17:32.8086008Z [ OK ] PermutationUtilTest.TestInversePermutation (3 ms) 2022-11-23T02:17:32.8086476Z [ RUN ] PermutationUtilTest.TestIsPermutation 2022-11-23T02:17:32.8086853Z [ OK ] PermutationUtilTest.TestIsPermutation (0 ms) 2022-11-23T02:17:32.8087192Z [ RUN ] PermutationUtilTest.TestPermute 2022-11-23T02:17:32.8106616Z [ OK ] PermutationUtilTest.TestPermute (1 ms) 2022-11-23T02:17:32.8107311Z [----------] 3 tests from PermutationUtilTest (5 ms total) 2022-11-23T02:17:32.8107590Z 2022-11-23T02:17:32.8107846Z [----------] 7 tests from ShapeTest 2022-11-23T02:17:32.8108533Z [ RUN ] ShapeTest.Basic1 2022-11-23T02:17:32.8108822Z [ OK ] ShapeTest.Basic1 (0 ms) 2022-11-23T02:17:32.8109089Z [ RUN ] ShapeTest.Basic2 2022-11-23T02:17:32.8109413Z [ OK ] ShapeTest.Basic2 (0 ms) 2022-11-23T02:17:32.8109673Z [ RUN ] ShapeTest.Basic3 2022-11-23T02:17:32.8109940Z [ OK ] ShapeTest.Basic3 (0 ms) 2022-11-23T02:17:32.8110220Z [ RUN ] ShapeTest.SetScalarType 2022-11-23T02:17:32.8110505Z [ OK ] ShapeTest.SetScalarType (0 ms) 2022-11-23T02:17:32.8110782Z [ RUN ] ShapeTest.SetSize 2022-11-23T02:17:32.8111120Z [ OK ] ShapeTest.SetSize (0 ms) 2022-11-23T02:17:32.8111365Z [ RUN ] ShapeTest.Equal 2022-11-23T02:17:32.8111627Z [ OK ] ShapeTest.Equal (0 ms) 2022-11-23T02:17:32.8111886Z [ RUN ] ShapeTest.Ostream 2022-11-23T02:17:32.8112140Z [ OK ] ShapeTest.Ostream (0 ms) 2022-11-23T02:17:32.8112445Z [----------] 7 tests from ShapeTest (0 ms total) 2022-11-23T02:17:32.8112595Z 2022-11-23T02:17:32.8112747Z [----------] 2 tests from TrieCacheTest 2022-11-23T02:17:32.8113029Z [ RUN ] TrieCacheTest.TestSinglePath 2022-11-23T02:17:32.8113354Z [ OK ] TrieCacheTest.TestSinglePath (0 ms) 2022-11-23T02:17:32.8113662Z [ RUN ] TrieCacheTest.TestTwoPaths 2022-11-23T02:17:32.8113974Z [ OK ] TrieCacheTest.TestTwoPaths (0 ms) 2022-11-23T02:17:32.8114285Z [----------] 2 tests from TrieCacheTest (0 ms total) 2022-11-23T02:17:32.8114442Z 2022-11-23T02:17:32.8114581Z [----------] 3 tests from UtilTest 2022-11-23T02:17:32.8114863Z [ RUN ] UtilTest.ExceptionCleanup 2022-11-23T02:17:32.8115156Z [ OK ] UtilTest.ExceptionCleanup (0 ms) 2022-11-23T02:17:32.8115439Z [ RUN ] UtilTest.MaybeRef 2022-11-23T02:17:32.8115712Z [ OK ] UtilTest.MaybeRef (0 ms) 2022-11-23T02:17:32.8115953Z [ RUN ] UtilTest.Iota 2022-11-23T02:17:32.8116209Z [ OK ] UtilTest.Iota (0 ms) 2022-11-23T02:17:32.8116497Z [----------] 3 tests from UtilTest (0 ms total) 2022-11-23T02:17:32.8116640Z 2022-11-23T02:17:32.8116790Z [----------] 575 tests from LazyOpsTest 2022-11-23T02:17:32.8124441Z [ RUN ] LazyOpsTest.TestScalarTensor 2022-11-23T02:17:32.8267540Z [ OK ] LazyOpsTest.TestScalarTensor (14 ms) 2022-11-23T02:17:32.8268049Z [ RUN ] LazyOpsTest.TestClone 2022-11-23T02:17:32.8320030Z [ OK ] LazyOpsTest.TestClone (5 ms) 2022-11-23T02:17:32.8320472Z [ RUN ] LazyOpsTest.TestTo 2022-11-23T02:17:32.8321415Z [ OK ] LazyOpsTest.TestTo (0 ms) 2022-11-23T02:17:32.8321934Z [ RUN ] LazyOpsTest.TestIsFloatingPoint 2022-11-23T02:17:32.8322492Z [ OK ] LazyOpsTest.TestIsFloatingPoint (0 ms) 2022-11-23T02:17:32.8323034Z [ RUN ] LazyOpsTest.TestIsSigned 2022-11-23T02:17:32.8323535Z [ OK ] LazyOpsTest.TestIsSigned (0 ms) 2022-11-23T02:17:32.8324059Z [ RUN ] LazyOpsTest.TestCastByte 2022-11-23T02:17:32.8730963Z [ OK ] LazyOpsTest.TestCastByte (40 ms) 2022-11-23T02:17:32.8731504Z [ RUN ] LazyOpsTest.TestCastChar 2022-11-23T02:17:32.8735165Z [ OK ] LazyOpsTest.TestCastChar (0 ms) 2022-11-23T02:17:32.8735689Z [ RUN ] LazyOpsTest.TestCastShort 2022-11-23T02:17:32.8739898Z [ OK ] LazyOpsTest.TestCastShort (0 ms) 2022-11-23T02:17:32.8740447Z [ RUN ] LazyOpsTest.TestCastInt 2022-11-23T02:17:32.8743988Z [ OK ] LazyOpsTest.TestCastInt (0 ms) 2022-11-23T02:17:32.8744498Z [ RUN ] LazyOpsTest.TestCastLong 2022-11-23T02:17:32.8748112Z [ OK ] LazyOpsTest.TestCastLong (0 ms) 2022-11-23T02:17:32.8748720Z [ RUN ] LazyOpsTest.TestCastFloat 2022-11-23T02:17:32.8749302Z [ OK ] LazyOpsTest.TestCastFloat (0 ms) 2022-11-23T02:17:32.8749631Z [ RUN ] LazyOpsTest.TestRetainType 2022-11-23T02:17:32.8765489Z [ OK ] LazyOpsTest.TestRetainType (1 ms) 2022-11-23T02:17:32.8765886Z [ RUN ] LazyOpsTest.TestLogicalTypeWithInterop 2022-11-23T02:17:32.8794882Z [ OK ] LazyOpsTest.TestLogicalTypeWithInterop (2 ms) 2022-11-23T02:17:32.8795490Z [ RUN ] LazyOpsTest.TestAdd 2022-11-23T02:17:32.8798529Z [ OK ] LazyOpsTest.TestAdd (0 ms) 2022-11-23T02:17:32.8799070Z [ RUN ] LazyOpsTest.TestAddHalf 2022-11-23T02:17:32.8801948Z [ OK ] LazyOpsTest.TestAddHalf (0 ms) 2022-11-23T02:17:32.8802534Z [ RUN ] LazyOpsTest.TestAddMixedPrecision 2022-11-23T02:17:32.8805493Z [ OK ] LazyOpsTest.TestAddMixedPrecision (0 ms) 2022-11-23T02:17:32.8806086Z [ RUN ] LazyOpsTest.TestAddInPlace 2022-11-23T02:17:32.8810820Z [ OK ] LazyOpsTest.TestAddInPlace (0 ms) 2022-11-23T02:17:32.8811395Z [ RUN ] LazyOpsTest.TestAddScalar 2022-11-23T02:17:32.8814359Z [ OK ] LazyOpsTest.TestAddScalar (0 ms) 2022-11-23T02:17:32.8814952Z [ RUN ] LazyOpsTest.TestAddScalarInPlace 2022-11-23T02:17:32.8819161Z [ OK ] LazyOpsTest.TestAddScalarInPlace (0 ms) 2022-11-23T02:17:32.8819762Z [ RUN ] LazyOpsTest.TestAddZeroSizeDim 2022-11-23T02:17:32.8822626Z [ OK ] LazyOpsTest.TestAddZeroSizeDim (0 ms) 2022-11-23T02:17:32.8823154Z [ RUN ] LazyOpsTest.TestSub 2022-11-23T02:17:32.8826129Z [ OK ] LazyOpsTest.TestSub (0 ms) 2022-11-23T02:17:32.8826670Z [ RUN ] LazyOpsTest.TestSubInPlace 2022-11-23T02:17:32.8831065Z [ OK ] LazyOpsTest.TestSubInPlace (0 ms) 2022-11-23T02:17:32.8831604Z [ RUN ] LazyOpsTest.TestSubScalar 2022-11-23T02:17:32.8834484Z [ OK ] LazyOpsTest.TestSubScalar (0 ms) 2022-11-23T02:17:32.8835064Z [ RUN ] LazyOpsTest.TestSubScalarInPlace 2022-11-23T02:17:32.8839073Z [ OK ] LazyOpsTest.TestSubScalarInPlace (0 ms) 2022-11-23T02:17:32.8839635Z [ RUN ] LazyOpsTest.TestMul 2022-11-23T02:17:32.8842342Z [ OK ] LazyOpsTest.TestMul (0 ms) 2022-11-23T02:17:32.8842887Z [ RUN ] LazyOpsTest.TestMulInPlace 2022-11-23T02:17:32.8846880Z [ OK ] LazyOpsTest.TestMulInPlace (0 ms) 2022-11-23T02:17:32.8847437Z [ RUN ] LazyOpsTest.TestMulScalar 2022-11-23T02:17:32.8850004Z [ OK ] LazyOpsTest.TestMulScalar (0 ms) 2022-11-23T02:17:32.8850576Z [ RUN ] LazyOpsTest.TestMulScalarInPlace 2022-11-23T02:17:32.8854557Z [ OK ] LazyOpsTest.TestMulScalarInPlace (0 ms) 2022-11-23T02:17:32.8855105Z [ RUN ] LazyOpsTest.TestDiv 2022-11-23T02:17:32.8966423Z [ OK ] LazyOpsTest.TestDiv (11 ms) 2022-11-23T02:17:32.8966968Z [ RUN ] LazyOpsTest.TestDivWithRoundingMode 2022-11-23T02:17:32.9325607Z [ OK ] LazyOpsTest.TestDivWithRoundingMode (35 ms) 2022-11-23T02:17:32.9326049Z [ RUN ] LazyOpsTest.TestDivInPlace 2022-11-23T02:17:32.9328991Z [ OK ] LazyOpsTest.TestDivInPlace (0 ms) 2022-11-23T02:17:32.9329369Z [ RUN ] LazyOpsTest.TestDivInPlaceWithRoundingMode 2022-11-23T02:17:32.9341166Z [ OK ] LazyOpsTest.TestDivInPlaceWithRoundingMode (1 ms) 2022-11-23T02:17:32.9341520Z [ RUN ] LazyOpsTest.TestDivScalar 2022-11-23T02:17:32.9374259Z [ OK ] LazyOpsTest.TestDivScalar (3 ms) 2022-11-23T02:17:32.9374588Z [ RUN ] LazyOpsTest.TestDivScalarInPlace 2022-11-23T02:17:32.9381929Z [ OK ] LazyOpsTest.TestDivScalarInPlace (0 ms) 2022-11-23T02:17:32.9382231Z [ RUN ] LazyOpsTest.TestDivOut 2022-11-23T02:17:32.9400231Z [ OK ] LazyOpsTest.TestDivOut (1 ms) 2022-11-23T02:17:32.9400551Z [ RUN ] LazyOpsTest.TestRsubScalar 2022-11-23T02:17:32.9403734Z [ OK ] LazyOpsTest.TestRsubScalar (0 ms) 2022-11-23T02:17:32.9404046Z [ RUN ] LazyOpsTest.TestNe 2022-11-23T02:17:32.9406761Z [ OK ] LazyOpsTest.TestNe (0 ms) 2022-11-23T02:17:32.9407080Z [ RUN ] LazyOpsTest.TestNeInplace 2022-11-23T02:17:32.9412010Z [ OK ] LazyOpsTest.TestNeInplace (0 ms) 2022-11-23T02:17:32.9412333Z [ RUN ] LazyOpsTest.TestEq 2022-11-23T02:17:32.9415007Z [ OK ] LazyOpsTest.TestEq (0 ms) 2022-11-23T02:17:32.9415486Z [ RUN ] LazyOpsTest.TestEqInplace 2022-11-23T02:17:32.9420365Z [ OK ] LazyOpsTest.TestEqInplace (0 ms) 2022-11-23T02:17:32.9420722Z [ RUN ] LazyOpsTest.TestGe 2022-11-23T02:17:32.9423280Z [ OK ] LazyOpsTest.TestGe (0 ms) 2022-11-23T02:17:32.9423626Z [ RUN ] LazyOpsTest.TestGeInplace 2022-11-23T02:17:32.9436954Z [ OK ] LazyOpsTest.TestGeInplace (1 ms) 2022-11-23T02:17:32.9437325Z [ RUN ] LazyOpsTest.TestLe 2022-11-23T02:17:32.9439821Z [ OK ] LazyOpsTest.TestLe (0 ms) 2022-11-23T02:17:32.9440148Z [ RUN ] LazyOpsTest.TestLeInplace 2022-11-23T02:17:32.9444877Z [ OK ] LazyOpsTest.TestLeInplace (0 ms) 2022-11-23T02:17:32.9445228Z [ RUN ] LazyOpsTest.TestGt 2022-11-23T02:17:32.9447990Z [ OK ] LazyOpsTest.TestGt (0 ms) 2022-11-23T02:17:32.9448330Z [ RUN ] LazyOpsTest.TestGtInplace 2022-11-23T02:17:32.9453114Z [ OK ] LazyOpsTest.TestGtInplace (0 ms) 2022-11-23T02:17:32.9453453Z [ RUN ] LazyOpsTest.TestLt 2022-11-23T02:17:32.9456146Z [ OK ] LazyOpsTest.TestLt (0 ms) 2022-11-23T02:17:32.9456484Z [ RUN ] LazyOpsTest.TestLtInplace 2022-11-23T02:17:32.9461379Z [ OK ] LazyOpsTest.TestLtInplace (0 ms) 2022-11-23T02:17:32.9461779Z [ RUN ] LazyOpsTest.TestNeScalar 2022-11-23T02:17:32.9464269Z [ OK ] LazyOpsTest.TestNeScalar (0 ms) 2022-11-23T02:17:32.9464647Z [ RUN ] LazyOpsTest.TestEqScalar 2022-11-23T02:17:32.9467080Z [ OK ] LazyOpsTest.TestEqScalar (0 ms) 2022-11-23T02:17:32.9467389Z [ RUN ] LazyOpsTest.TestGeScalar 2022-11-23T02:17:32.9469856Z [ OK ] LazyOpsTest.TestGeScalar (0 ms) 2022-11-23T02:17:32.9470189Z [ RUN ] LazyOpsTest.TestGeScalarInplace 2022-11-23T02:17:32.9474959Z [ OK ] LazyOpsTest.TestGeScalarInplace (0 ms) 2022-11-23T02:17:32.9475292Z [ RUN ] LazyOpsTest.TestLeScalar 2022-11-23T02:17:32.9477698Z [ OK ] LazyOpsTest.TestLeScalar (0 ms) 2022-11-23T02:17:32.9478043Z [ RUN ] LazyOpsTest.TestLeScalarInplace 2022-11-23T02:17:32.9482406Z [ OK ] LazyOpsTest.TestLeScalarInplace (0 ms) 2022-11-23T02:17:32.9482741Z [ RUN ] LazyOpsTest.TestGtScalar 2022-11-23T02:17:32.9485159Z [ OK ] LazyOpsTest.TestGtScalar (0 ms) 2022-11-23T02:17:32.9485497Z [ RUN ] LazyOpsTest.TestGtScalarInplace 2022-11-23T02:17:32.9489758Z [ OK ] LazyOpsTest.TestGtScalarInplace (0 ms) 2022-11-23T02:17:32.9490086Z [ RUN ] LazyOpsTest.TestLtScalar 2022-11-23T02:17:32.9492650Z [ OK ] LazyOpsTest.TestLtScalar (0 ms) 2022-11-23T02:17:32.9493006Z [ RUN ] LazyOpsTest.TestLtScalarInplace 2022-11-23T02:17:32.9497308Z [ OK ] LazyOpsTest.TestLtScalarInplace (0 ms) 2022-11-23T02:17:32.9497647Z [ RUN ] LazyOpsTest.TestIntegerAdd 2022-11-23T02:17:32.9510494Z [ OK ] LazyOpsTest.TestIntegerAdd (1 ms) 2022-11-23T02:17:32.9510801Z [ RUN ] LazyOpsTest.TestSVD 2022-11-23T02:17:32.9585910Z [ OK ] LazyOpsTest.TestSVD (7 ms) 2022-11-23T02:17:32.9586559Z [ RUN ] LazyOpsTest.TestQR 2022-11-23T02:17:32.9586961Z [W BatchLinearAlgebra.cpp:2458] Warning: torch.qr is deprecated in favor of torch.linalg.qr and will be removed in a future PyTorch release. 2022-11-23T02:17:32.9587568Z The boolean parameter 'some' has been replaced with a string parameter 'mode'. 2022-11-23T02:17:32.9587833Z Q, R = torch.qr(A, some) 2022-11-23T02:17:32.9588016Z should be replaced with 2022-11-23T02:17:32.9588359Z Q, R = torch.linalg.qr(A, 'reduced' if some else 'complete') (function operator()) 2022-11-23T02:17:32.9608928Z [ OK ] LazyOpsTest.TestQR (2 ms) 2022-11-23T02:17:32.9609288Z [ RUN ] LazyOpsTest.TestSymEig 2022-11-23T02:17:32.9609944Z [W BatchLinearAlgebra.cpp:2909] Warning: torch.symeig is deprecated in favor of torch.linalg.eigh and will be removed in a future PyTorch release. 2022-11-23T02:17:32.9610481Z The default behavior has changed from using the upper triangular portion of the matrix by default to using the lower triangular portion. 2022-11-23T02:17:32.9610836Z L, _ = torch.symeig(A, upper=upper) 2022-11-23T02:17:32.9611035Z should be replaced with 2022-11-23T02:17:32.9611413Z L = torch.linalg.eigvalsh(A, UPLO='U' if upper else 'L') 2022-11-23T02:17:32.9611634Z and 2022-11-23T02:17:32.9611812Z L, V = torch.symeig(A, eigenvectors=True) 2022-11-23T02:17:32.9612103Z should be replaced with 2022-11-23T02:17:32.9612438Z L, V = torch.linalg.eigh(A, UPLO='U' if upper else 'L') (function operator()) 2022-11-23T02:17:32.9626935Z [ OK ] LazyOpsTest.TestSymEig (1 ms) 2022-11-23T02:17:32.9627296Z [ RUN ] LazyOpsTest.TestCholesky 2022-11-23T02:17:32.9637293Z [W BatchLinearAlgebra.cpp:1729] Warning: torch.cholesky is deprecated in favor of torch.linalg.cholesky and will be removed in a future PyTorch release. 2022-11-23T02:17:32.9637937Z L = torch.cholesky(A) 2022-11-23T02:17:32.9638150Z should be replaced with 2022-11-23T02:17:32.9638357Z L = torch.linalg.cholesky(A) 2022-11-23T02:17:32.9638544Z and 2022-11-23T02:17:32.9638720Z U = torch.cholesky(A, upper=True) 2022-11-23T02:17:32.9638930Z should be replaced with 2022-11-23T02:17:32.9639141Z U = torch.linalg.cholesky(A).mH(). 2022-11-23T02:17:32.9639473Z This transform will produce equivalent results for all valid (symmetric positive definite) inputs. (function operator()) 2022-11-23T02:17:32.9648533Z [ OK ] LazyOpsTest.TestCholesky (2 ms) 2022-11-23T02:17:32.9648846Z [ RUN ] LazyOpsTest.TestLogDet 2022-11-23T02:17:32.9664513Z [ OK ] LazyOpsTest.TestLogDet (1 ms) 2022-11-23T02:17:32.9664969Z [ RUN ] LazyOpsTest.TestTriangularSolve 2022-11-23T02:17:32.9665414Z [W BatchLinearAlgebra.cpp:2224] Warning: torch.triangular_solve is deprecated in favor of torch.linalg.solve_triangularand will be removed in a future PyTorch release. 2022-11-23T02:17:32.9665875Z torch.linalg.solve_triangular has its arguments reversed and does not return a copy of one of the inputs. 2022-11-23T02:17:32.9666180Z X = torch.triangular_solve(B, A).solution 2022-11-23T02:17:32.9666390Z should be replaced with 2022-11-23T02:17:32.9666640Z X = torch.linalg.solve_triangular(A, B). (function operator()) 2022-11-23T02:17:32.9874875Z [ OK ] LazyOpsTest.TestTriangularSolve (20 ms) 2022-11-23T02:17:32.9875206Z [ RUN ] LazyOpsTest.TestKthValue 2022-11-23T02:17:32.9906173Z [ OK ] LazyOpsTest.TestKthValue (3 ms) 2022-11-23T02:17:32.9906495Z [ RUN ] LazyOpsTest.TestTopK 2022-11-23T02:17:33.0082649Z [ OK ] LazyOpsTest.TestTopK (17 ms) 2022-11-23T02:17:33.0083205Z [ RUN ] LazyOpsTest.TestSort 2022-11-23T02:17:33.0154346Z [ OK ] LazyOpsTest.TestSort (7 ms) 2022-11-23T02:17:33.0154951Z [ RUN ] LazyOpsTest.TestSortDescWithMinValue 2022-11-23T02:17:33.0159155Z [ OK ] LazyOpsTest.TestSortDescWithMinValue (0 ms) 2022-11-23T02:17:33.0159534Z [ RUN ] LazyOpsTest.TestArgSort 2022-11-23T02:17:33.0170369Z [ OK ] LazyOpsTest.TestArgSort (1 ms) 2022-11-23T02:17:33.0170692Z [ RUN ] LazyOpsTest.TestMin 2022-11-23T02:17:33.0173143Z [ OK ] LazyOpsTest.TestMin (0 ms) 2022-11-23T02:17:33.0173454Z [ RUN ] LazyOpsTest.TestMax 2022-11-23T02:17:33.0176180Z [ OK ] LazyOpsTest.TestMax (0 ms) 2022-11-23T02:17:33.0176555Z [ RUN ] LazyOpsTest.TestUnaryMin 2022-11-23T02:17:33.0178904Z [ OK ] LazyOpsTest.TestUnaryMin (0 ms) 2022-11-23T02:17:33.0179366Z [ RUN ] LazyOpsTest.TestUnaryMax 2022-11-23T02:17:33.0181258Z [ OK ] LazyOpsTest.TestUnaryMax (0 ms) 2022-11-23T02:17:33.0181754Z [ RUN ] LazyOpsTest.TestAll 2022-11-23T02:17:33.0191855Z [ OK ] LazyOpsTest.TestAll (1 ms) 2022-11-23T02:17:33.0192265Z [ RUN ] LazyOpsTest.TestAllDim 2022-11-23T02:17:33.0194350Z [ OK ] LazyOpsTest.TestAllDim (0 ms) 2022-11-23T02:17:33.0194736Z [ RUN ] LazyOpsTest.TestAllDimKeep 2022-11-23T02:17:33.0196490Z [ OK ] LazyOpsTest.TestAllDimKeep (0 ms) 2022-11-23T02:17:33.0196892Z [ RUN ] LazyOpsTest.TestAmax 2022-11-23T02:17:33.0231385Z [ OK ] LazyOpsTest.TestAmax (3 ms) 2022-11-23T02:17:33.0231778Z [ RUN ] LazyOpsTest.TestAmin 2022-11-23T02:17:33.0265553Z [ OK ] LazyOpsTest.TestAmin (3 ms) 2022-11-23T02:17:33.0265929Z [ RUN ] LazyOpsTest.TestAny 2022-11-23T02:17:33.0275435Z [ OK ] LazyOpsTest.TestAny (0 ms) 2022-11-23T02:17:33.0275814Z [ RUN ] LazyOpsTest.TestAnyDim 2022-11-23T02:17:33.0277902Z [ OK ] LazyOpsTest.TestAnyDim (0 ms) 2022-11-23T02:17:33.0278281Z [ RUN ] LazyOpsTest.TestAnyDimKeep 2022-11-23T02:17:33.0279978Z [ OK ] LazyOpsTest.TestAnyDimKeep (0 ms) 2022-11-23T02:17:33.0280358Z [ RUN ] LazyOpsTest.TestMean 2022-11-23T02:17:33.0282991Z [ OK ] LazyOpsTest.TestMean (0 ms) 2022-11-23T02:17:33.0283365Z [ RUN ] LazyOpsTest.TestMeanCast 2022-11-23T02:17:33.0285781Z [ OK ] LazyOpsTest.TestMeanCast (0 ms) 2022-11-23T02:17:33.0286165Z [ RUN ] LazyOpsTest.TestMeanInDim 2022-11-23T02:17:33.0303456Z [ OK ] LazyOpsTest.TestMeanInDim (1 ms) 2022-11-23T02:17:33.0303868Z [ RUN ] LazyOpsTest.TestMeanInDims 2022-11-23T02:17:33.0309459Z [ OK ] LazyOpsTest.TestMeanInDims (0 ms) 2022-11-23T02:17:33.0309888Z [ RUN ] LazyOpsTest.TestMeanInDimsKeepCast 2022-11-23T02:17:33.0315606Z [ OK ] LazyOpsTest.TestMeanInDimsKeepCast (0 ms) 2022-11-23T02:17:33.0316053Z [ RUN ] LazyOpsTest.TestMeanInDimOut 2022-11-23T02:17:33.0346164Z [ OK ] LazyOpsTest.TestMeanInDimOut (3 ms) 2022-11-23T02:17:33.0346537Z [ RUN ] LazyOpsTest.TestStd 2022-11-23T02:17:33.0352487Z [ OK ] LazyOpsTest.TestStd (0 ms) 2022-11-23T02:17:33.0352822Z [ RUN ] LazyOpsTest.TestStdInDim 2022-11-23T02:17:33.0420225Z [ OK ] LazyOpsTest.TestStdInDim (6 ms) 2022-11-23T02:17:33.0420592Z [ RUN ] LazyOpsTest.TestStdWithCorrection 2022-11-23T02:17:33.0453626Z [ OK ] LazyOpsTest.TestStdWithCorrection (3 ms) 2022-11-23T02:17:33.0454014Z [ RUN ] LazyOpsTest.TestStdMeanWithCorrection 2022-11-23T02:17:33.0466082Z [ OK ] LazyOpsTest.TestStdMeanWithCorrection (1 ms) 2022-11-23T02:17:33.0466412Z [ RUN ] LazyOpsTest.TestSum 2022-11-23T02:17:33.0468799Z [ OK ] LazyOpsTest.TestSum (0 ms) 2022-11-23T02:17:33.0469282Z [ RUN ] LazyOpsTest.TestSumCast 2022-11-23T02:17:33.0471791Z [ OK ] LazyOpsTest.TestSumCast (0 ms) 2022-11-23T02:17:33.0472114Z [ RUN ] LazyOpsTest.TestSumU8 2022-11-23T02:17:33.0474125Z [ OK ] LazyOpsTest.TestSumU8 (0 ms) 2022-11-23T02:17:33.0474627Z [ RUN ] LazyOpsTest.TestSumInDim 2022-11-23T02:17:33.0490555Z [ OK ] LazyOpsTest.TestSumInDim (1 ms) 2022-11-23T02:17:33.0490882Z [ RUN ] LazyOpsTest.TestSumInDims 2022-11-23T02:17:33.0496251Z [ OK ] LazyOpsTest.TestSumInDims (0 ms) 2022-11-23T02:17:33.0496612Z [ RUN ] LazyOpsTest.TestSumInDimsKeep 2022-11-23T02:17:33.0502131Z [ OK ] LazyOpsTest.TestSumInDimsKeep (0 ms) 2022-11-23T02:17:33.0502502Z [ RUN ] LazyOpsTest.TestSumInDimsKeepCast 2022-11-23T02:17:33.0524961Z [ OK ] LazyOpsTest.TestSumInDimsKeepCast (2 ms) 2022-11-23T02:17:33.0525297Z [ RUN ] LazyOpsTest.TestVar 2022-11-23T02:17:33.0527266Z [ OK ] LazyOpsTest.TestVar (0 ms) 2022-11-23T02:17:33.0527588Z [ RUN ] LazyOpsTest.TestVarWithDim 2022-11-23T02:17:33.0532303Z [ OK ] LazyOpsTest.TestVarWithDim (0 ms) 2022-11-23T02:17:33.0532649Z [ RUN ] LazyOpsTest.TestVarWithCorrection 2022-11-23T02:17:33.0540213Z [ OK ] LazyOpsTest.TestVarWithCorrection (0 ms) 2022-11-23T02:17:33.0540573Z [ RUN ] LazyOpsTest.TestVarMeanWithCorrection 2022-11-23T02:17:33.0553062Z [ OK ] LazyOpsTest.TestVarMeanWithCorrection (1 ms) 2022-11-23T02:17:33.0553464Z [ RUN ] LazyOpsTest.TestMaxInDim 2022-11-23T02:17:33.0625694Z [ OK ] LazyOpsTest.TestMaxInDim (7 ms) 2022-11-23T02:17:33.0626015Z [ RUN ] LazyOpsTest.TestMinInDim 2022-11-23T02:17:33.0642643Z [ OK ] LazyOpsTest.TestMinInDim (1 ms) 2022-11-23T02:17:33.0642945Z [ RUN ] LazyOpsTest.TestNorm 2022-11-23T02:17:33.0646320Z [ OK ] LazyOpsTest.TestNorm (0 ms) 2022-11-23T02:17:33.0646627Z [ RUN ] LazyOpsTest.TestNormInDim 2022-11-23T02:17:33.0652680Z [ OK ] LazyOpsTest.TestNormInDim (0 ms) 2022-11-23T02:17:33.0652983Z [ RUN ] LazyOpsTest.TestNormInDims 2022-11-23T02:17:33.0658729Z [ OK ] LazyOpsTest.TestNormInDims (0 ms) 2022-11-23T02:17:33.0659224Z [ RUN ] LazyOpsTest.TestNormInDimsKeep 2022-11-23T02:17:33.0664717Z [ OK ] LazyOpsTest.TestNormInDimsKeep (0 ms) 2022-11-23T02:17:33.0665046Z [ RUN ] LazyOpsTest.TestNormalTwoTensor 2022-11-23T02:17:33.0671411Z [ OK ] LazyOpsTest.TestNormalTwoTensor (0 ms) 2022-11-23T02:17:33.0671767Z [ RUN ] LazyOpsTest.TestNormalDoubleMean 2022-11-23T02:17:33.0677889Z [ OK ] LazyOpsTest.TestNormalDoubleMean (0 ms) 2022-11-23T02:17:33.0678232Z [ RUN ] LazyOpsTest.TestNormalDoubleStd 2022-11-23T02:17:33.0680162Z [ OK ] LazyOpsTest.TestNormalDoubleStd (0 ms) 2022-11-23T02:17:33.0680502Z [ RUN ] LazyOpsTest.TestNormalInPlace 2022-11-23T02:17:33.0683586Z [ OK ] LazyOpsTest.TestNormalInPlace (0 ms) 2022-11-23T02:17:33.0684095Z [ RUN ] LazyOpsTest.TestUniformInPlace 2022-11-23T02:17:33.0686108Z [ OK ] LazyOpsTest.TestUniformInPlace (0 ms) 2022-11-23T02:17:33.0686713Z [ RUN ] LazyOpsTest.TestRandomInPlace 2022-11-23T02:17:33.0737873Z [ OK ] LazyOpsTest.TestRandomInPlace (5 ms) 2022-11-23T02:17:33.0738450Z [ RUN ] LazyOpsTest.TestRandomInPlaceDefaultFrom 2022-11-23T02:17:33.0787854Z [ OK ] LazyOpsTest.TestRandomInPlaceDefaultFrom (4 ms) 2022-11-23T02:17:33.0788388Z [ RUN ] LazyOpsTest.TestRandomInPlaceDefault 2022-11-23T02:17:33.0800235Z [ OK ] LazyOpsTest.TestRandomInPlaceDefault (1 ms) 2022-11-23T02:17:33.0800800Z [ RUN ] LazyOpsTest.TestNormGeneral 2022-11-23T02:17:33.0804294Z [ OK ] LazyOpsTest.TestNormGeneral (0 ms) 2022-11-23T02:17:33.0804847Z [ RUN ] LazyOpsTest.TestNormNuclear 2022-11-23T02:17:33.0808074Z [ OK ] LazyOpsTest.TestNormNuclear (0 ms) 2022-11-23T02:17:33.0808646Z [ RUN ] LazyOpsTest.TestFrobeniusNorm 2022-11-23T02:17:33.0809631Z [ OK ] LazyOpsTest.TestFrobeniusNorm (0 ms) 2022-11-23T02:17:33.0810148Z [ RUN ] LazyOpsTest.TestFrobeniusNormInDim 2022-11-23T02:17:33.0816386Z [ OK ] LazyOpsTest.TestFrobeniusNormInDim (0 ms) 2022-11-23T02:17:33.0816786Z [ RUN ] LazyOpsTest.TestFrobeniusNormInDims 2022-11-23T02:17:33.0827391Z [ OK ] LazyOpsTest.TestFrobeniusNormInDims (1 ms) 2022-11-23T02:17:33.0827982Z [ RUN ] LazyOpsTest.TestGroupNorm 2022-11-23T02:17:33.0869869Z [ OK ] LazyOpsTest.TestGroupNorm (4 ms) 2022-11-23T02:17:33.0870475Z [ RUN ] LazyOpsTest.TestGroupNormBackward 2022-11-23T02:17:33.1369961Z [ OK ] LazyOpsTest.TestGroupNormBackward (49 ms) 2022-11-23T02:17:33.1370388Z [ RUN ] LazyOpsTest.TestInstanceNorm 2022-11-23T02:17:33.1396524Z [ OK ] LazyOpsTest.TestInstanceNorm (2 ms) 2022-11-23T02:17:33.1397076Z [ RUN ] LazyOpsTest.TestLayerNorm 2022-11-23T02:17:33.1440367Z [ OK ] LazyOpsTest.TestLayerNorm (4 ms) 2022-11-23T02:17:33.1440887Z [ RUN ] LazyOpsTest.TestLayerNormBackward 2022-11-23T02:17:33.1691541Z [ OK ] LazyOpsTest.TestLayerNormBackward (25 ms) 2022-11-23T02:17:33.1692160Z [ RUN ] LazyOpsTest.TestNuclearNorm 2022-11-23T02:17:33.1699582Z [ OK ] LazyOpsTest.TestNuclearNorm (0 ms) 2022-11-23T02:17:33.1699967Z [ RUN ] LazyOpsTest.TestPairwiseDistance 2022-11-23T02:17:33.2364494Z [ OK ] LazyOpsTest.TestPairwiseDistance (66 ms) 2022-11-23T02:17:33.2364953Z [ RUN ] LazyOpsTest.TestCosineSimilarity 2022-11-23T02:17:33.2420423Z [ OK ] LazyOpsTest.TestCosineSimilarity (5 ms) 2022-11-23T02:17:33.2420776Z [ RUN ] LazyOpsTest.TestCosineEmbeddingLoss 2022-11-23T02:17:33.3036695Z [ OK ] LazyOpsTest.TestCosineEmbeddingLoss (61 ms) 2022-11-23T02:17:33.3037127Z [ RUN ] LazyOpsTest.TestHingeEmbeddingLoss 2022-11-23T02:17:33.3072481Z [ OK ] LazyOpsTest.TestHingeEmbeddingLoss (3 ms) 2022-11-23T02:17:33.3072857Z [ RUN ] LazyOpsTest.TestTripletMarginLoss 2022-11-23T02:17:33.5882011Z [ OK ] LazyOpsTest.TestTripletMarginLoss (280 ms) 2022-11-23T02:17:33.5882779Z [ RUN ] LazyOpsTest.TestBinaryCrossEntropy 2022-11-23T02:17:33.5901988Z [ OK ] LazyOpsTest.TestBinaryCrossEntropy (2 ms) 2022-11-23T02:17:33.5902591Z [ RUN ] LazyOpsTest.TestMarginRankingLoss 2022-11-23T02:17:33.6642887Z [ OK ] LazyOpsTest.TestMarginRankingLoss (73 ms) 2022-11-23T02:17:33.6643621Z [ RUN ] LazyOpsTest.TestBCEWithLogits 2022-11-23T02:17:33.6657533Z [ OK ] LazyOpsTest.TestBCEWithLogits (1 ms) 2022-11-23T02:17:33.6657892Z [ RUN ] LazyOpsTest.TestKlDiv 2022-11-23T02:17:33.6678997Z [ OK ] LazyOpsTest.TestKlDiv (2 ms) 2022-11-23T02:17:33.6679425Z [ RUN ] LazyOpsTest.TestProd 2022-11-23T02:17:33.6680143Z [ OK ] LazyOpsTest.TestProd (0 ms) 2022-11-23T02:17:33.6680583Z [ RUN ] LazyOpsTest.TestProdCast 2022-11-23T02:17:33.6681151Z [ OK ] LazyOpsTest.TestProdCast (0 ms) 2022-11-23T02:17:33.6681676Z [ RUN ] LazyOpsTest.TestProdInDim 2022-11-23T02:17:33.6685266Z [ OK ] LazyOpsTest.TestProdInDim (0 ms) 2022-11-23T02:17:33.6685845Z [ RUN ] LazyOpsTest.TestProdInDimKeepCast 2022-11-23T02:17:33.6689201Z [ OK ] LazyOpsTest.TestProdInDimKeepCast (0 ms) 2022-11-23T02:17:33.6689751Z [ RUN ] LazyOpsTest.TestProdInDimKeep 2022-11-23T02:17:33.6693212Z [ OK ] LazyOpsTest.TestProdInDimKeep (0 ms) 2022-11-23T02:17:33.6693739Z [ RUN ] LazyOpsTest.TestCumSum 2022-11-23T02:17:33.6707579Z [ OK ] LazyOpsTest.TestCumSum (1 ms) 2022-11-23T02:17:33.6708336Z [ RUN ] LazyOpsTest.TestCumSumCast 2022-11-23T02:17:33.6722552Z [ OK ] LazyOpsTest.TestCumSumCast (1 ms) 2022-11-23T02:17:33.6723072Z [ RUN ] LazyOpsTest.TestCumSumLong 2022-11-23T02:17:33.6734533Z [ OK ] LazyOpsTest.TestCumSumLong (1 ms) 2022-11-23T02:17:33.6735093Z [ RUN ] LazyOpsTest.TestCumSumCastLong 2022-11-23T02:17:33.6747142Z [ OK ] LazyOpsTest.TestCumSumCastLong (1 ms) 2022-11-23T02:17:33.6747699Z [ RUN ] LazyOpsTest.TestCumProd 2022-11-23T02:17:33.6751570Z [ OK ] LazyOpsTest.TestCumProd (0 ms) 2022-11-23T02:17:33.6752279Z [ RUN ] LazyOpsTest.TestCumProdCast 2022-11-23T02:17:33.6755878Z [ OK ] LazyOpsTest.TestCumProdCast (0 ms) 2022-11-23T02:17:33.6756225Z [ RUN ] LazyOpsTest.TestCumProdLong 2022-11-23T02:17:33.6763879Z [ OK ] LazyOpsTest.TestCumProdLong (0 ms) 2022-11-23T02:17:33.6764309Z [ RUN ] LazyOpsTest.TestCumProdCastLong 2022-11-23T02:17:33.6772385Z [ OK ] LazyOpsTest.TestCumProdCastLong (0 ms) 2022-11-23T02:17:33.6772839Z [ RUN ] LazyOpsTest.TestArgMin 2022-11-23T02:17:33.6773396Z [ OK ] LazyOpsTest.TestArgMin (0 ms) 2022-11-23T02:17:33.6773953Z [ RUN ] LazyOpsTest.TestArgMinDim 2022-11-23T02:17:33.6774806Z [ OK ] LazyOpsTest.TestArgMinDim (0 ms) 2022-11-23T02:17:33.6775383Z [ RUN ] LazyOpsTest.TestArgMinDimKeep 2022-11-23T02:17:33.6776251Z [ OK ] LazyOpsTest.TestArgMinDimKeep (0 ms) 2022-11-23T02:17:33.6776728Z [ RUN ] LazyOpsTest.TestArgMinSameValue 2022-11-23T02:17:33.6777075Z [ OK ] LazyOpsTest.TestArgMinSameValue (0 ms) 2022-11-23T02:17:33.6777490Z [ RUN ] LazyOpsTest.TestArgMinWrapper 2022-11-23T02:17:33.6778251Z [ OK ] LazyOpsTest.TestArgMinWrapper (0 ms) 2022-11-23T02:17:33.6778664Z [ RUN ] LazyOpsTest.TestArgMax 2022-11-23T02:17:33.6779239Z [ OK ] LazyOpsTest.TestArgMax (0 ms) 2022-11-23T02:17:33.6779629Z [ RUN ] LazyOpsTest.TestArgMaxDim 2022-11-23T02:17:33.6780762Z [ OK ] LazyOpsTest.TestArgMaxDim (0 ms) 2022-11-23T02:17:33.6781136Z [ RUN ] LazyOpsTest.TestArgMaxDimKeep 2022-11-23T02:17:33.6782124Z [ OK ] LazyOpsTest.TestArgMaxDimKeep (0 ms) 2022-11-23T02:17:33.6782579Z [ RUN ] LazyOpsTest.TestArgMaxSameValue 2022-11-23T02:17:33.6783064Z [ OK ] LazyOpsTest.TestArgMaxSameValue (0 ms) 2022-11-23T02:17:33.6783390Z [ RUN ] LazyOpsTest.TestArgMaxWrapper 2022-11-23T02:17:33.6784143Z [ OK ] LazyOpsTest.TestArgMaxWrapper (0 ms) 2022-11-23T02:17:33.6784540Z [ RUN ] LazyOpsTest.TestAsin 2022-11-23T02:17:33.6785807Z [ OK ] LazyOpsTest.TestAsin (0 ms) 2022-11-23T02:17:33.6786166Z [ RUN ] LazyOpsTest.TestAsinh 2022-11-23T02:17:33.6787098Z [ OK ] LazyOpsTest.TestAsinh (0 ms) 2022-11-23T02:17:33.6787499Z [ RUN ] LazyOpsTest.TestAsinhInPlace 2022-11-23T02:17:33.6789018Z [ OK ] LazyOpsTest.TestAsinhInPlace (0 ms) 2022-11-23T02:17:33.6789515Z [ RUN ] LazyOpsTest.TestSin 2022-11-23T02:17:33.6790332Z [ OK ] LazyOpsTest.TestSin (0 ms) 2022-11-23T02:17:33.6790738Z [ RUN ] LazyOpsTest.TestSinh 2022-11-23T02:17:33.6791643Z [ OK ] LazyOpsTest.TestSinh (0 ms) 2022-11-23T02:17:33.6791958Z [ RUN ] LazyOpsTest.TestAcos 2022-11-23T02:17:33.6793072Z [ OK ] LazyOpsTest.TestAcos (0 ms) 2022-11-23T02:17:33.6793395Z [ RUN ] LazyOpsTest.TestAcosh 2022-11-23T02:17:33.6794273Z [ OK ] LazyOpsTest.TestAcosh (0 ms) 2022-11-23T02:17:33.6794663Z [ RUN ] LazyOpsTest.TestAcoshInPlace 2022-11-23T02:17:33.6796009Z [ OK ] LazyOpsTest.TestAcoshInPlace (0 ms) 2022-11-23T02:17:33.6796436Z [ RUN ] LazyOpsTest.TestCos 2022-11-23T02:17:33.6799091Z [ OK ] LazyOpsTest.TestCos (0 ms) 2022-11-23T02:17:33.6799375Z [ RUN ] LazyOpsTest.TestCosh 2022-11-23T02:17:33.6800210Z [ OK ] LazyOpsTest.TestCosh (0 ms) 2022-11-23T02:17:33.6801959Z [ RUN ] LazyOpsTest.TestAtan 2022-11-23T02:17:33.6802505Z [ OK ] LazyOpsTest.TestAtan (0 ms) 2022-11-23T02:17:33.6802966Z [ RUN ] LazyOpsTest.TestAtanh 2022-11-23T02:17:33.6803489Z [ OK ] LazyOpsTest.TestAtanh (0 ms) 2022-11-23T02:17:33.6803802Z [ RUN ] LazyOpsTest.TestAtanhInPlace 2022-11-23T02:17:33.6804494Z [ OK ] LazyOpsTest.TestAtanhInPlace (0 ms) 2022-11-23T02:17:33.6804807Z [ RUN ] LazyOpsTest.TestAtan2 2022-11-23T02:17:33.6806129Z [ OK ] LazyOpsTest.TestAtan2 (0 ms) 2022-11-23T02:17:33.6806466Z [ RUN ] LazyOpsTest.TestTan 2022-11-23T02:17:33.6807572Z [ OK ] LazyOpsTest.TestTan (0 ms) 2022-11-23T02:17:33.6807926Z [ RUN ] LazyOpsTest.TestTanh 2022-11-23T02:17:33.6810623Z [ OK ] LazyOpsTest.TestTanh (0 ms) 2022-11-23T02:17:33.6810995Z [ RUN ] LazyOpsTest.TestClampMinMax 2022-11-23T02:17:33.6814039Z [ OK ] LazyOpsTest.TestClampMinMax (0 ms) 2022-11-23T02:17:33.6814431Z [ RUN ] LazyOpsTest.TestClampMin 2022-11-23T02:17:33.6817329Z [ OK ] LazyOpsTest.TestClampMin (0 ms) 2022-11-23T02:17:33.6817716Z [ RUN ] LazyOpsTest.TestClampMax 2022-11-23T02:17:33.6820350Z [ OK ] LazyOpsTest.TestClampMax (0 ms) 2022-11-23T02:17:33.6820765Z [ RUN ] LazyOpsTest.TestClampMinExplicit 2022-11-23T02:17:33.6823088Z [ OK ] LazyOpsTest.TestClampMinExplicit (0 ms) 2022-11-23T02:17:33.6823548Z [ RUN ] LazyOpsTest.TestClampMaxExplicit 2022-11-23T02:17:33.6824487Z [ OK ] LazyOpsTest.TestClampMaxExplicit (0 ms) 2022-11-23T02:17:33.6824841Z [ RUN ] LazyOpsTest.TestClampMinExplicitInPlace 2022-11-23T02:17:33.6827920Z [ OK ] LazyOpsTest.TestClampMinExplicitInPlace (0 ms) 2022-11-23T02:17:33.6828309Z [ RUN ] LazyOpsTest.TestClampMaxExplicitInPlace 2022-11-23T02:17:33.6829745Z [ OK ] LazyOpsTest.TestClampMaxExplicitInPlace (0 ms) 2022-11-23T02:17:33.6830235Z [ RUN ] LazyOpsTest.TestCeil 2022-11-23T02:17:33.6830884Z [ OK ] LazyOpsTest.TestCeil (0 ms) 2022-11-23T02:17:33.6831176Z [ RUN ] LazyOpsTest.TestFloor 2022-11-23T02:17:33.6833715Z [ OK ] LazyOpsTest.TestFloor (0 ms) 2022-11-23T02:17:33.6834000Z [ RUN ] LazyOpsTest.TestRound 2022-11-23T02:17:33.6835640Z [ OK ] LazyOpsTest.TestRound (0 ms) 2022-11-23T02:17:33.6835930Z [ RUN ] LazyOpsTest.TestTrunc 2022-11-23T02:17:33.6838936Z [ OK ] LazyOpsTest.TestTrunc (0 ms) 2022-11-23T02:17:33.6839227Z [ RUN ] LazyOpsTest.TestFrac 2022-11-23T02:17:33.6842232Z [ OK ] LazyOpsTest.TestFrac (0 ms) 2022-11-23T02:17:33.6842501Z [ RUN ] LazyOpsTest.TestNeg 2022-11-23T02:17:33.6845305Z [ OK ] LazyOpsTest.TestNeg (0 ms) 2022-11-23T02:17:33.6845601Z [ RUN ] LazyOpsTest.TestBitwiseNot 2022-11-23T02:17:33.6847709Z [ OK ] LazyOpsTest.TestBitwiseNot (0 ms) 2022-11-23T02:17:33.6848030Z [ RUN ] LazyOpsTest.TestBitwiseNotInPlace 2022-11-23T02:17:33.6850039Z [ OK ] LazyOpsTest.TestBitwiseNotInPlace (0 ms) 2022-11-23T02:17:33.6850468Z [ RUN ] LazyOpsTest.TestSign 2022-11-23T02:17:33.6851566Z [ OK ] LazyOpsTest.TestSign (0 ms) 2022-11-23T02:17:33.6852098Z [ RUN ] LazyOpsTest.TestSignByte 2022-11-23T02:17:33.6852653Z [ OK ] LazyOpsTest.TestSignByte (0 ms) 2022-11-23T02:17:33.6852947Z [ RUN ] LazyOpsTest.TestAbs 2022-11-23T02:17:33.6855155Z [ OK ] LazyOpsTest.TestAbs (0 ms) 2022-11-23T02:17:33.6855595Z [ RUN ] LazyOpsTest.TestAbsByte 2022-11-23T02:17:33.6857550Z [ OK ] LazyOpsTest.TestAbsByte (0 ms) 2022-11-23T02:17:33.6858124Z [ RUN ] LazyOpsTest.TestEmptyLike 2022-11-23T02:17:33.6858514Z [ OK ] LazyOpsTest.TestEmptyLike (0 ms) 2022-11-23T02:17:33.6858986Z [ RUN ] LazyOpsTest.TestEmptyLikeOptions 2022-11-23T02:17:33.6859335Z [ OK ] LazyOpsTest.TestEmptyLikeOptions (0 ms) 2022-11-23T02:17:33.6859627Z [ RUN ] LazyOpsTest.TestEmpty 2022-11-23T02:17:33.6860029Z [ OK ] LazyOpsTest.TestEmpty (0 ms) 2022-11-23T02:17:33.6860328Z [ RUN ] LazyOpsTest.TestZeroInPlace 2022-11-23T02:17:33.6861592Z [ OK ] LazyOpsTest.TestZeroInPlace (0 ms) 2022-11-23T02:17:33.6861999Z [ RUN ] LazyOpsTest.TestZerosLike 2022-11-23T02:17:33.6862813Z [ OK ] LazyOpsTest.TestZerosLike (0 ms) 2022-11-23T02:17:33.6863187Z [ RUN ] LazyOpsTest.TestZerosLikeOptions 2022-11-23T02:17:33.6863534Z [ OK ] LazyOpsTest.TestZerosLikeOptions (0 ms) 2022-11-23T02:17:33.6863837Z [ RUN ] LazyOpsTest.TestZeros 2022-11-23T02:17:33.6866797Z [ OK ] LazyOpsTest.TestZeros (0 ms) 2022-11-23T02:17:33.6867070Z [ RUN ] LazyOpsTest.TestOnes 2022-11-23T02:17:33.6870900Z [ OK ] LazyOpsTest.TestOnes (0 ms) 2022-11-23T02:17:33.6871195Z [ RUN ] LazyOpsTest.TestOnesLike 2022-11-23T02:17:33.6871789Z [ OK ] LazyOpsTest.TestOnesLike (0 ms) 2022-11-23T02:17:33.6872214Z [ RUN ] LazyOpsTest.TestOnesLikeOptions 2022-11-23T02:17:33.6873087Z [ OK ] LazyOpsTest.TestOnesLikeOptions (0 ms) 2022-11-23T02:17:33.6873379Z [ RUN ] LazyOpsTest.TestFull 2022-11-23T02:17:33.6877798Z [ OK ] LazyOpsTest.TestFull (0 ms) 2022-11-23T02:17:33.6878139Z [ RUN ] LazyOpsTest.TestFullLike 2022-11-23T02:17:33.6878979Z [ OK ] LazyOpsTest.TestFullLike (0 ms) 2022-11-23T02:17:33.6879390Z [ RUN ] LazyOpsTest.TestFullLikeOptions 2022-11-23T02:17:33.6880088Z [ OK ] LazyOpsTest.TestFullLikeOptions (0 ms) 2022-11-23T02:17:33.6880400Z [ RUN ] LazyOpsTest.TestARange 2022-11-23T02:17:33.6887006Z [ OK ] LazyOpsTest.TestARange (0 ms) 2022-11-23T02:17:33.6887333Z [ RUN ] LazyOpsTest.TestARangeOut 2022-11-23T02:17:33.6887824Z [W RangeFactories.cpp:216] Warning: The number of elements in the out tensor of shape [4] is 4 which does not match the computed number of elements 200. Note that this may occur as a result of rounding error. The out tensor will be resized to a tensor of shape (200,). (function operator()) 2022-11-23T02:17:33.6890139Z [ OK ] LazyOpsTest.TestARangeOut (0 ms) 2022-11-23T02:17:33.6890450Z [ RUN ] LazyOpsTest.TestDimARange 2022-11-23T02:17:33.6893967Z [ OK ] LazyOpsTest.TestDimARange (0 ms) 2022-11-23T02:17:33.6894274Z [ RUN ] LazyOpsTest.TestBartlettWindow 2022-11-23T02:17:33.6918102Z [ OK ] LazyOpsTest.TestBartlettWindow (2 ms) 2022-11-23T02:17:33.6918434Z [ RUN ] LazyOpsTest.TestBlackmanWindow 2022-11-23T02:17:33.6940397Z [ OK ] LazyOpsTest.TestBlackmanWindow (2 ms) 2022-11-23T02:17:33.6940730Z [ RUN ] LazyOpsTest.TestHammingWindow 2022-11-23T02:17:33.6956641Z [ OK ] LazyOpsTest.TestHammingWindow (1 ms) 2022-11-23T02:17:33.6956978Z [ RUN ] LazyOpsTest.TestHannWindow 2022-11-23T02:17:33.7535486Z [ OK ] LazyOpsTest.TestHannWindow (57 ms) 2022-11-23T02:17:33.7535819Z [ RUN ] LazyOpsTest.TestLogSigmoid 2022-11-23T02:17:33.7540474Z [ OK ] LazyOpsTest.TestLogSigmoid (0 ms) 2022-11-23T02:17:33.7540796Z [ RUN ] LazyOpsTest.TestLogSigmoidForward 2022-11-23T02:17:33.7547016Z [ OK ] LazyOpsTest.TestLogSigmoidForward (0 ms) 2022-11-23T02:17:33.7547357Z [ RUN ] LazyOpsTest.TestLogsumexp 2022-11-23T02:17:33.7586157Z [ OK ] LazyOpsTest.TestLogsumexp (3 ms) 2022-11-23T02:17:33.7586453Z [ RUN ] LazyOpsTest.TestSiLU 2022-11-23T02:17:33.7588624Z [ OK ] LazyOpsTest.TestSiLU (0 ms) 2022-11-23T02:17:33.7588966Z [ RUN ] LazyOpsTest.TestSigmoid 2022-11-23T02:17:33.7591091Z [ OK ] LazyOpsTest.TestSigmoid (0 ms) 2022-11-23T02:17:33.7591503Z [ RUN ] LazyOpsTest.TestMatmul_1x1 2022-11-23T02:17:33.7592683Z [ OK ] LazyOpsTest.TestMatmul_1x1 (0 ms) 2022-11-23T02:17:33.7593003Z [ RUN ] LazyOpsTest.TestMatmul_2x1 2022-11-23T02:17:33.7595994Z [ OK ] LazyOpsTest.TestMatmul_2x1 (0 ms) 2022-11-23T02:17:33.7596306Z [ RUN ] LazyOpsTest.TestMatmul_1x2 2022-11-23T02:17:33.7600949Z [ OK ] LazyOpsTest.TestMatmul_1x2 (0 ms) 2022-11-23T02:17:33.7601241Z [ RUN ] LazyOpsTest.TestMatmul_2x2 2022-11-23T02:17:33.7605365Z [ OK ] LazyOpsTest.TestMatmul_2x2 (0 ms) 2022-11-23T02:17:33.7606011Z [ RUN ] LazyOpsTest.TestMatmulBcast 2022-11-23T02:17:33.7615019Z [ OK ] LazyOpsTest.TestMatmulBcast (0 ms) 2022-11-23T02:17:33.7615571Z [ RUN ] LazyOpsTest.TestDot 2022-11-23T02:17:33.7616092Z [ OK ] LazyOpsTest.TestDot (0 ms) 2022-11-23T02:17:33.7616660Z [ RUN ] LazyOpsTest.TestTensorDot 2022-11-23T02:17:33.7625419Z [ OK ] LazyOpsTest.TestTensorDot (0 ms) 2022-11-23T02:17:33.7626044Z [ RUN ] LazyOpsTest.TestGer 2022-11-23T02:17:33.7630859Z [ OK ] LazyOpsTest.TestGer (0 ms) 2022-11-23T02:17:33.7631357Z [ RUN ] LazyOpsTest.TestMv 2022-11-23T02:17:33.7634717Z [ OK ] LazyOpsTest.TestMv (0 ms) 2022-11-23T02:17:33.7635334Z [ RUN ] LazyOpsTest.TestMvOut 2022-11-23T02:17:33.7643579Z [ OK ] LazyOpsTest.TestMvOut (0 ms) 2022-11-23T02:17:33.7643937Z [ RUN ] LazyOpsTest.TestBatchAddBatchMatMul 2022-11-23T02:17:33.7646093Z [ OK ] LazyOpsTest.TestBatchAddBatchMatMul (0 ms) 2022-11-23T02:17:33.7646480Z [ RUN ] LazyOpsTest.TestBatchAddBatchMatMulInPlace 2022-11-23T02:17:33.7651223Z [ OK ] LazyOpsTest.TestBatchAddBatchMatMulInPlace (0 ms) 2022-11-23T02:17:33.7651606Z [ RUN ] LazyOpsTest.TestBatchMatMul 2022-11-23T02:17:33.7655014Z [ OK ] LazyOpsTest.TestBatchMatMul (0 ms) 2022-11-23T02:17:33.7655375Z [ RUN ] LazyOpsTest.TestChainMatMul 2022-11-23T02:17:33.7655869Z [W LinearAlgebra.cpp:1076] Warning: torch.chain_matmul is deprecated and will be removed in a future PyTorch release. Use torch.linalg.multi_dot instead, which accepts a list of two or more tensors rather than multiple parameters. (function operator()) 2022-11-23T02:17:33.7661198Z [ OK ] LazyOpsTest.TestChainMatMul (0 ms) 2022-11-23T02:17:33.7661520Z [ RUN ] LazyOpsTest.TestLinear 2022-11-23T02:17:33.7668938Z [ OK ] LazyOpsTest.TestLinear (0 ms) 2022-11-23T02:17:33.7669329Z [ RUN ] LazyOpsTest.TestPinverse 2022-11-23T02:17:33.7687581Z [ OK ] LazyOpsTest.TestPinverse (1 ms) 2022-11-23T02:17:33.7688174Z [ RUN ] LazyOpsTest.TestEinsumOuter 2022-11-23T02:17:33.7694574Z [ OK ] LazyOpsTest.TestEinsumOuter (0 ms) 2022-11-23T02:17:33.7695181Z [ RUN ] LazyOpsTest.TestEinsumOuterBackward 2022-11-23T02:17:33.7717320Z [ OK ] LazyOpsTest.TestEinsumOuterBackward (2 ms) 2022-11-23T02:17:33.7717696Z [ RUN ] LazyOpsTest.TestEinsumBatchMatMul 2022-11-23T02:17:33.7728562Z [ OK ] LazyOpsTest.TestEinsumBatchMatMul (1 ms) 2022-11-23T02:17:33.7728929Z [ RUN ] LazyOpsTest.TestEinsumPyTorchLowerBilinear 2022-11-23T02:17:33.7746933Z [ OK ] LazyOpsTest.TestEinsumPyTorchLowerBilinear (1 ms) 2022-11-23T02:17:33.7747356Z [ RUN ] LazyOpsTest.TestEinsumPyTorchLowerDiagonal 2022-11-23T02:17:33.7751825Z [ OK ] LazyOpsTest.TestEinsumPyTorchLowerDiagonal (0 ms) 2022-11-23T02:17:33.7752290Z [ RUN ] LazyOpsTest.TestEinsumPyTorchLowerBatchDiagonal 2022-11-23T02:17:33.7756746Z [ OK ] LazyOpsTest.TestEinsumPyTorchLowerBatchDiagonal (0 ms) 2022-11-23T02:17:33.7757243Z [ RUN ] LazyOpsTest.TestEinsumPyTorchLowerBatchPermute 2022-11-23T02:17:33.7760344Z [ OK ] LazyOpsTest.TestEinsumPyTorchLowerBatchPermute (0 ms) 2022-11-23T02:17:33.7760942Z [ RUN ] LazyOpsTest.TestEinsumPyTorchLowerRepeatedAxis 2022-11-23T02:17:33.7770383Z [ OK ] LazyOpsTest.TestEinsumPyTorchLowerRepeatedAxis (0 ms) 2022-11-23T02:17:33.7770813Z [ RUN ] LazyOpsTest.TestBilinear 2022-11-23T02:17:33.7905793Z [ OK ] LazyOpsTest.TestBilinear (13 ms) 2022-11-23T02:17:33.7906204Z [ RUN ] LazyOpsTest.TestUpsampleNearest2D 2022-11-23T02:17:33.7910159Z [ OK ] LazyOpsTest.TestUpsampleNearest2D (0 ms) 2022-11-23T02:17:33.7910601Z [ RUN ] LazyOpsTest.TestUpsampleNearest2DBackward 2022-11-23T02:17:33.7921675Z [ OK ] LazyOpsTest.TestUpsampleNearest2DBackward (1 ms) 2022-11-23T02:17:33.7922117Z [ RUN ] LazyOpsTest.TestUpsampleNearest2DWithScale 2022-11-23T02:17:33.7926155Z [ OK ] LazyOpsTest.TestUpsampleNearest2DWithScale (0 ms) 2022-11-23T02:17:33.7926648Z [ RUN ] LazyOpsTest.TestUpsampleNearest2DBackwardWithScale 2022-11-23T02:17:33.7937354Z [ OK ] LazyOpsTest.TestUpsampleNearest2DBackwardWithScale (1 ms) 2022-11-23T02:17:33.7937811Z [ RUN ] LazyOpsTest.TestUpsampleBilinear2D 2022-11-23T02:17:33.7945192Z [ OK ] LazyOpsTest.TestUpsampleBilinear2D (0 ms) 2022-11-23T02:17:33.7945612Z [ RUN ] LazyOpsTest.TestUpsampleBilinear2DBackward 2022-11-23T02:17:33.7965984Z [ OK ] LazyOpsTest.TestUpsampleBilinear2DBackward (2 ms) 2022-11-23T02:17:33.7966374Z [ RUN ] LazyOpsTest.TestAddCMul 2022-11-23T02:17:33.7969658Z [ OK ] LazyOpsTest.TestAddCMul (0 ms) 2022-11-23T02:17:33.7969993Z [ RUN ] LazyOpsTest.TestAddCDiv 2022-11-23T02:17:33.7973318Z [ OK ] LazyOpsTest.TestAddCDiv (0 ms) 2022-11-23T02:17:33.7973672Z [ RUN ] LazyOpsTest.TestAddCDivWithBroadcast 2022-11-23T02:17:33.7977228Z [ OK ] LazyOpsTest.TestAddCDivWithBroadcast (0 ms) 2022-11-23T02:17:33.7977799Z [ RUN ] LazyOpsTest.TestSize 2022-11-23T02:17:33.7978094Z [ OK ] LazyOpsTest.TestSize (0 ms) 2022-11-23T02:17:33.7978366Z [ RUN ] LazyOpsTest.TestSelect 2022-11-23T02:17:33.8064387Z [ OK ] LazyOpsTest.TestSelect (8 ms) 2022-11-23T02:17:33.8064927Z [ RUN ] LazyOpsTest.TestBernoulliScalarProb 2022-11-23T02:17:33.8069122Z [ OK ] LazyOpsTest.TestBernoulliScalarProb (0 ms) 2022-11-23T02:17:33.8069784Z [ RUN ] LazyOpsTest.TestBernoulliTensorProb 2022-11-23T02:17:33.8072922Z [ OK ] LazyOpsTest.TestBernoulliTensorProb (0 ms) 2022-11-23T02:17:33.8073553Z [ RUN ] LazyOpsTest.TestBernoulliScalarProbInPlace 2022-11-23T02:17:33.8090031Z [ OK ] LazyOpsTest.TestBernoulliScalarProbInPlace (1 ms) 2022-11-23T02:17:33.8090728Z [ RUN ] LazyOpsTest.TestBernoulliTensorProbInPlace 2022-11-23T02:17:33.8094010Z [ OK ] LazyOpsTest.TestBernoulliTensorProbInPlace (0 ms) 2022-11-23T02:17:33.8094644Z [ RUN ] LazyOpsTest.TestDropout 2022-11-23T02:17:33.8097266Z [ OK ] LazyOpsTest.TestDropout (0 ms) 2022-11-23T02:17:33.8097842Z [ RUN ] LazyOpsTest.TestDropoutInPlace 2022-11-23T02:17:33.8102474Z [ OK ] LazyOpsTest.TestDropoutInPlace (0 ms) 2022-11-23T02:17:33.8102975Z [ RUN ] LazyOpsTest.TestRandperm 2022-11-23T02:17:33.8104384Z [ OK ] LazyOpsTest.TestRandperm (0 ms) 2022-11-23T02:17:33.8104926Z [ RUN ] LazyOpsTest.TestSlice 2022-11-23T02:17:33.8113252Z [ OK ] LazyOpsTest.TestSlice (0 ms) 2022-11-23T02:17:33.8113762Z [ RUN ] LazyOpsTest.TestTake 2022-11-23T02:17:33.8115317Z [ OK ] LazyOpsTest.TestTake (0 ms) 2022-11-23T02:17:33.8115888Z [ RUN ] LazyOpsTest.TestTakeBackward 2022-11-23T02:17:33.8125614Z [ OK ] LazyOpsTest.TestTakeBackward (1 ms) 2022-11-23T02:17:33.8126270Z [ RUN ] LazyOpsTest.TestStack 2022-11-23T02:17:33.8149374Z [ OK ] LazyOpsTest.TestStack (2 ms) 2022-11-23T02:17:33.8149894Z [ RUN ] LazyOpsTest.TestCat 2022-11-23T02:17:33.8156282Z [ OK ] LazyOpsTest.TestCat (0 ms) 2022-11-23T02:17:33.8156573Z [ RUN ] LazyOpsTest.TestUnbind 2022-11-23T02:17:33.8168364Z [ OK ] LazyOpsTest.TestUnbind (1 ms) 2022-11-23T02:17:33.8168740Z [ RUN ] LazyOpsTest.TestRepeat 2022-11-23T02:17:33.8179592Z [ OK ] LazyOpsTest.TestRepeat (1 ms) 2022-11-23T02:17:33.8179902Z [ RUN ] LazyOpsTest.TestGather 2022-11-23T02:17:33.8185903Z [ OK ] LazyOpsTest.TestGather (0 ms) 2022-11-23T02:17:33.8186243Z [ RUN ] LazyOpsTest.TestScatter 2022-11-23T02:17:33.8189451Z [ OK ] LazyOpsTest.TestScatter (0 ms) 2022-11-23T02:17:33.8189757Z [ RUN ] LazyOpsTest.TestScatterR1 2022-11-23T02:17:33.8191074Z [ OK ] LazyOpsTest.TestScatterR1 (0 ms) 2022-11-23T02:17:33.8191379Z [ RUN ] LazyOpsTest.TestScatterR3 2022-11-23T02:17:33.8193294Z [ OK ] LazyOpsTest.TestScatterR3 (0 ms) 2022-11-23T02:17:33.8193631Z [ RUN ] LazyOpsTest.TestScatterBiggerSource 2022-11-23T02:17:33.8195875Z [ OK ] LazyOpsTest.TestScatterBiggerSource (0 ms) 2022-11-23T02:17:33.8196218Z [ RUN ] LazyOpsTest.TestScatterScalar 2022-11-23T02:17:33.8198440Z [ OK ] LazyOpsTest.TestScatterScalar (0 ms) 2022-11-23T02:17:33.8198796Z [ RUN ] LazyOpsTest.TestScatterReduceAdd 2022-11-23T02:17:33.8201689Z [ OK ] LazyOpsTest.TestScatterReduceAdd (0 ms) 2022-11-23T02:17:33.8202018Z [ RUN ] LazyOpsTest.TestScatterAdd 2022-11-23T02:17:33.8208634Z [ OK ] LazyOpsTest.TestScatterAdd (0 ms) 2022-11-23T02:17:33.8208953Z [ RUN ] LazyOpsTest.TestScatterAddInPlace 2022-11-23T02:17:33.8215883Z [ OK ] LazyOpsTest.TestScatterAddInPlace (0 ms) 2022-11-23T02:17:33.8216215Z [ RUN ] LazyOpsTest.TestIndexSelect 2022-11-23T02:17:33.8303375Z [ OK ] LazyOpsTest.TestIndexSelect (8 ms) 2022-11-23T02:17:33.8303716Z [ RUN ] LazyOpsTest.TestIndexSelectRank0 2022-11-23T02:17:33.8325828Z [ OK ] LazyOpsTest.TestIndexSelectRank0 (2 ms) 2022-11-23T02:17:33.8326166Z [ RUN ] LazyOpsTest.TestInverse 2022-11-23T02:17:33.8330326Z [ OK ] LazyOpsTest.TestInverse (0 ms) 2022-11-23T02:17:33.8330761Z [ RUN ] LazyOpsTest.TestIsnan 2022-11-23T02:17:33.8331430Z [ OK ] LazyOpsTest.TestIsnan (0 ms) 2022-11-23T02:17:33.8331832Z [ RUN ] LazyOpsTest.TestExpand 2022-11-23T02:17:33.8334555Z [ OK ] LazyOpsTest.TestExpand (0 ms) 2022-11-23T02:17:33.8334914Z [ RUN ] LazyOpsTest.TestExpandBack 2022-11-23T02:17:33.8337745Z [ OK ] LazyOpsTest.TestExpandBack (0 ms) 2022-11-23T02:17:33.8338064Z [ RUN ] LazyOpsTest.TestExpandAs 2022-11-23T02:17:33.8341576Z [ OK ] LazyOpsTest.TestExpandAs (0 ms) 2022-11-23T02:17:33.8341974Z [ RUN ] LazyOpsTest.TestEye 2022-11-23T02:17:33.8342716Z [ OK ] LazyOpsTest.TestEye (0 ms) 2022-11-23T02:17:33.8343130Z [ RUN ] LazyOpsTest.TestEyeWide 2022-11-23T02:17:33.8343796Z [ OK ] LazyOpsTest.TestEyeWide (0 ms) 2022-11-23T02:17:33.8344165Z [ RUN ] LazyOpsTest.TestEyeNarrow 2022-11-23T02:17:33.8344483Z [ OK ] LazyOpsTest.TestEyeNarrow (0 ms) 2022-11-23T02:17:33.8344807Z [ RUN ] LazyOpsTest.TestBroadcastTensors 2022-11-23T02:17:33.8350723Z [ OK ] LazyOpsTest.TestBroadcastTensors (0 ms) 2022-11-23T02:17:33.8351067Z [ RUN ] LazyOpsTest.TestOneIndex 2022-11-23T02:17:33.8368709Z [ OK ] LazyOpsTest.TestOneIndex (1 ms) 2022-11-23T02:17:33.8369246Z [ RUN ] LazyOpsTest.TestOneIndexTransfer 2022-11-23T02:17:33.8382599Z [ OK ] LazyOpsTest.TestOneIndexTransfer (1 ms) 2022-11-23T02:17:33.8382919Z [ RUN ] LazyOpsTest.TestNonzero 2022-11-23T02:17:33.8384280Z [ OK ] LazyOpsTest.TestNonzero (0 ms) 2022-11-23T02:17:33.8384608Z [ RUN ] LazyOpsTest.TestMaskedSelect 2022-11-23T02:17:33.8386294Z [ OK ] LazyOpsTest.TestMaskedSelect (0 ms) 2022-11-23T02:17:33.8386674Z [ RUN ] LazyOpsTest.TestMaskedScatter 2022-11-23T02:17:33.8389103Z [ OK ] LazyOpsTest.TestMaskedScatter (0 ms) 2022-11-23T02:17:33.8389582Z [ RUN ] LazyOpsTest.TestMultiIndexHeadNull 2022-11-23T02:17:33.8400114Z [ OK ] LazyOpsTest.TestMultiIndexHeadNull (1 ms) 2022-11-23T02:17:33.8400558Z [ RUN ] LazyOpsTest.TestMultiIndexMiddleNull 2022-11-23T02:17:33.8410012Z [ OK ] LazyOpsTest.TestMultiIndexMiddleNull (0 ms) 2022-11-23T02:17:33.8410464Z [ RUN ] LazyOpsTest.TestMultiIndexTailNull 2022-11-23T02:17:33.8420978Z [ OK ] LazyOpsTest.TestMultiIndexTailNull (1 ms) 2022-11-23T02:17:33.8421455Z [ RUN ] LazyOpsTest.TestMultiIndexMiddleBroadcast 2022-11-23T02:17:33.8431855Z [ OK ] LazyOpsTest.TestMultiIndexMiddleBroadcast (1 ms) 2022-11-23T02:17:33.8432330Z [ RUN ] LazyOpsTest.TestMultiIndexTailBroadcast 2022-11-23T02:17:33.8439805Z [ OK ] LazyOpsTest.TestMultiIndexTailBroadcast (0 ms) 2022-11-23T02:17:33.8440232Z [ RUN ] LazyOpsTest.TestMaskIndex 2022-11-23T02:17:33.8444741Z [ OK ] LazyOpsTest.TestMaskIndex (0 ms) 2022-11-23T02:17:33.8445256Z [ RUN ] LazyOpsTest.TestOneIndexPut 2022-11-23T02:17:33.8477264Z [ OK ] LazyOpsTest.TestOneIndexPut (3 ms) 2022-11-23T02:17:33.8477844Z [ RUN ] LazyOpsTest.TestOneIndexPutInPlace 2022-11-23T02:17:33.8502547Z [ OK ] LazyOpsTest.TestOneIndexPutInPlace (2 ms) 2022-11-23T02:17:33.8503151Z [ RUN ] LazyOpsTest.TestOneIndexPutTransfer 2022-11-23T02:17:33.8522103Z [ OK ] LazyOpsTest.TestOneIndexPutTransfer (1 ms) 2022-11-23T02:17:33.8522661Z [ RUN ] LazyOpsTest.TestMultiIndexPut 2022-11-23T02:17:33.8542366Z [ OK ] LazyOpsTest.TestMultiIndexPut (2 ms) 2022-11-23T02:17:33.8542965Z [ RUN ] LazyOpsTest.TestMultiIndexPutHeadNull 2022-11-23T02:17:33.8571080Z [ OK ] LazyOpsTest.TestMultiIndexPutHeadNull (2 ms) 2022-11-23T02:17:33.8571708Z [ RUN ] LazyOpsTest.TestMultiIndexPutMiddleNull 2022-11-23T02:17:33.8589567Z [ OK ] LazyOpsTest.TestMultiIndexPutMiddleNull (1 ms) 2022-11-23T02:17:33.8590171Z [ RUN ] LazyOpsTest.TestMultiIndexPutTailNull 2022-11-23T02:17:33.8607960Z [ OK ] LazyOpsTest.TestMultiIndexPutTailNull (1 ms) 2022-11-23T02:17:33.8608599Z [ RUN ] LazyOpsTest.TestMultiIndexPutMiddleBroadcast 2022-11-23T02:17:33.8629201Z [ OK ] LazyOpsTest.TestMultiIndexPutMiddleBroadcast (2 ms) 2022-11-23T02:17:33.8629812Z [ RUN ] LazyOpsTest.TestMultiIndexPutTailBroadcast 2022-11-23T02:17:33.8646718Z [ OK ] LazyOpsTest.TestMultiIndexPutTailBroadcast (1 ms) 2022-11-23T02:17:33.8647212Z [ RUN ] LazyOpsTest.TestMaskIndexPut 2022-11-23T02:17:33.8667025Z [ OK ] LazyOpsTest.TestMaskIndexPut (2 ms) 2022-11-23T02:17:33.8667583Z [ RUN ] LazyOpsTest.TestIndexPutImpl 2022-11-23T02:17:33.8693673Z [ OK ] LazyOpsTest.TestIndexPutImpl (2 ms) 2022-11-23T02:17:33.8694023Z [ RUN ] LazyOpsTest.TestIndexFillWithScalar 2022-11-23T02:17:33.8725346Z [ OK ] LazyOpsTest.TestIndexFillWithScalar (3 ms) 2022-11-23T02:17:33.8725718Z [ RUN ] LazyOpsTest.TestIndexFillWithScalarInPlace 2022-11-23T02:17:33.8752760Z [ OK ] LazyOpsTest.TestIndexFillWithScalarInPlace (2 ms) 2022-11-23T02:17:33.8753155Z [ RUN ] LazyOpsTest.TestIndexFillWithTensor 2022-11-23T02:17:33.8779420Z [ OK ] LazyOpsTest.TestIndexFillWithTensor (2 ms) 2022-11-23T02:17:33.8779805Z [ RUN ] LazyOpsTest.TestIndexFillWithTensorInPlace 2022-11-23T02:17:33.8811236Z [ OK ] LazyOpsTest.TestIndexFillWithTensorInPlace (3 ms) 2022-11-23T02:17:33.8811606Z [ RUN ] LazyOpsTest.TestIndexFillRank0 2022-11-23T02:17:33.8837327Z [ OK ] LazyOpsTest.TestIndexFillRank0 (2 ms) 2022-11-23T02:17:33.8837642Z [ RUN ] LazyOpsTest.TestIndexAdd 2022-11-23T02:17:33.8906461Z [ OK ] LazyOpsTest.TestIndexAdd (6 ms) 2022-11-23T02:17:33.8906786Z [ RUN ] LazyOpsTest.TestIndexAddInPlace 2022-11-23T02:17:33.8957462Z [ OK ] LazyOpsTest.TestIndexAddInPlace (5 ms) 2022-11-23T02:17:33.8957800Z [ RUN ] LazyOpsTest.TestIndexAddRank0 2022-11-23T02:17:33.8978046Z [ OK ] LazyOpsTest.TestIndexAddRank0 (2 ms) 2022-11-23T02:17:33.8978347Z [ RUN ] LazyOpsTest.TestIndexCopy 2022-11-23T02:17:33.8999727Z [ OK ] LazyOpsTest.TestIndexCopy (2 ms) 2022-11-23T02:17:33.9000115Z [ RUN ] LazyOpsTest.TestIndexCopyInPlace 2022-11-23T02:17:33.9026828Z [ OK ] LazyOpsTest.TestIndexCopyInPlace (2 ms) 2022-11-23T02:17:33.9027177Z [ RUN ] LazyOpsTest.TestIndexCopyRank0 2022-11-23T02:17:33.9047210Z [ OK ] LazyOpsTest.TestIndexCopyRank0 (2 ms) 2022-11-23T02:17:33.9047528Z [ RUN ] LazyOpsTest.TestRelu 2022-11-23T02:17:33.9050032Z [ OK ] LazyOpsTest.TestRelu (0 ms) 2022-11-23T02:17:33.9050390Z [ RUN ] LazyOpsTest.TestReluInPlace 2022-11-23T02:17:33.9053575Z [ OK ] LazyOpsTest.TestReluInPlace (0 ms) 2022-11-23T02:17:33.9053997Z [ RUN ] LazyOpsTest.TestHardshrink 2022-11-23T02:17:33.9055211Z [ OK ] LazyOpsTest.TestHardshrink (0 ms) 2022-11-23T02:17:33.9055520Z [ RUN ] LazyOpsTest.TestHardSigmoid 2022-11-23T02:17:33.9057514Z [ OK ] LazyOpsTest.TestHardSigmoid (0 ms) 2022-11-23T02:17:33.9057835Z [ RUN ] LazyOpsTest.TestHardSigmoidInPlace 2022-11-23T02:17:33.9061045Z [ OK ] LazyOpsTest.TestHardSigmoidInPlace (0 ms) 2022-11-23T02:17:33.9061428Z [ RUN ] LazyOpsTest.TestHardSigmoidBackward 2022-11-23T02:17:33.9070508Z [ OK ] LazyOpsTest.TestHardSigmoidBackward (0 ms) 2022-11-23T02:17:33.9070962Z [ RUN ] LazyOpsTest.TestSoftshrink 2022-11-23T02:17:33.9071499Z [ OK ] LazyOpsTest.TestSoftshrink (0 ms) 2022-11-23T02:17:33.9072036Z [ RUN ] LazyOpsTest.TestHardtanh 2022-11-23T02:17:33.9072642Z [ OK ] LazyOpsTest.TestHardtanh (0 ms) 2022-11-23T02:17:33.9073237Z [ RUN ] LazyOpsTest.TestHardtanhInPlace 2022-11-23T02:17:33.9074051Z [ OK ] LazyOpsTest.TestHardtanhInPlace (0 ms) 2022-11-23T02:17:33.9074608Z [ RUN ] LazyOpsTest.TestLeakyRelu 2022-11-23T02:17:33.9077167Z [ OK ] LazyOpsTest.TestLeakyRelu (0 ms) 2022-11-23T02:17:33.9077752Z [ RUN ] LazyOpsTest.TestLeakyReluInPlace 2022-11-23T02:17:33.9080922Z [ OK ] LazyOpsTest.TestLeakyReluInPlace (0 ms) 2022-11-23T02:17:33.9081374Z [ RUN ] LazyOpsTest.TestExp 2022-11-23T02:17:33.9083586Z [ OK ] LazyOpsTest.TestExp (0 ms) 2022-11-23T02:17:33.9084110Z [ RUN ] LazyOpsTest.TestExpm1 2022-11-23T02:17:33.9084825Z [ OK ] LazyOpsTest.TestExpm1 (0 ms) 2022-11-23T02:17:33.9085347Z [ RUN ] LazyOpsTest.TestLog 2022-11-23T02:17:33.9087867Z [ OK ] LazyOpsTest.TestLog (0 ms) 2022-11-23T02:17:33.9088149Z [ RUN ] LazyOpsTest.TestLog2 2022-11-23T02:17:33.9091191Z [ OK ] LazyOpsTest.TestLog2 (0 ms) 2022-11-23T02:17:33.9091577Z [ RUN ] LazyOpsTest.TestLog10 2022-11-23T02:17:33.9092566Z [ OK ] LazyOpsTest.TestLog10 (0 ms) 2022-11-23T02:17:33.9092844Z [ RUN ] LazyOpsTest.TestLog1p 2022-11-23T02:17:33.9094359Z [ OK ] LazyOpsTest.TestLog1p (0 ms) 2022-11-23T02:17:33.9094722Z [ RUN ] LazyOpsTest.TestErf 2022-11-23T02:17:33.9095604Z [ OK ] LazyOpsTest.TestErf (0 ms) 2022-11-23T02:17:33.9095897Z [ RUN ] LazyOpsTest.TestErfc 2022-11-23T02:17:33.9097185Z [ OK ] LazyOpsTest.TestErfc (0 ms) 2022-11-23T02:17:33.9097648Z [ RUN ] LazyOpsTest.TestErfinv 2022-11-23T02:17:33.9098361Z [ OK ] LazyOpsTest.TestErfinv (0 ms) 2022-11-23T02:17:33.9098653Z [ RUN ] LazyOpsTest.TestSqrt 2022-11-23T02:17:33.9101765Z [ OK ] LazyOpsTest.TestSqrt (0 ms) 2022-11-23T02:17:33.9102120Z [ RUN ] LazyOpsTest.TestRsqrt 2022-11-23T02:17:33.9105255Z [ OK ] LazyOpsTest.TestRsqrt (0 ms) 2022-11-23T02:17:33.9105599Z [ RUN ] LazyOpsTest.TestReciprocal 2022-11-23T02:17:33.9108506Z [ OK ] LazyOpsTest.TestReciprocal (0 ms) 2022-11-23T02:17:33.9108826Z [ RUN ] LazyOpsTest.TestPowTensorScalar 2022-11-23T02:17:33.9111501Z [ OK ] LazyOpsTest.TestPowTensorScalar (0 ms) 2022-11-23T02:17:33.9111864Z [ RUN ] LazyOpsTest.TestPowTensorScalarInPlace 2022-11-23T02:17:33.9115266Z [ OK ] LazyOpsTest.TestPowTensorScalarInPlace (0 ms) 2022-11-23T02:17:33.9115615Z [ RUN ] LazyOpsTest.TestPowTensorTensor 2022-11-23T02:17:33.9118416Z [ OK ] LazyOpsTest.TestPowTensorTensor (0 ms) 2022-11-23T02:17:33.9118783Z [ RUN ] LazyOpsTest.TestPowTensorTensorInPlace 2022-11-23T02:17:33.9145828Z [ OK ] LazyOpsTest.TestPowTensorTensorInPlace (2 ms) 2022-11-23T02:17:33.9146201Z [ RUN ] LazyOpsTest.TestPowTensorTensorBroadcast 2022-11-23T02:17:33.9148893Z [ OK ] LazyOpsTest.TestPowTensorTensorBroadcast (0 ms) 2022-11-23T02:17:33.9149405Z [ RUN ] LazyOpsTest.TestPowScalarTensor 2022-11-23T02:17:33.9150362Z [ OK ] LazyOpsTest.TestPowScalarTensor (0 ms) 2022-11-23T02:17:33.9150698Z [ RUN ] LazyOpsTest.TestPowIntExponent 2022-11-23T02:17:33.9153185Z [ OK ] LazyOpsTest.TestPowIntExponent (0 ms) 2022-11-23T02:17:33.9153545Z [ RUN ] LazyOpsTest.TestFmodScalar 2022-11-23T02:17:33.9154519Z [ OK ] LazyOpsTest.TestFmodScalar (0 ms) 2022-11-23T02:17:33.9154851Z [ RUN ] LazyOpsTest.TestFmodScalarInPlace 2022-11-23T02:17:33.9156346Z [ OK ] LazyOpsTest.TestFmodScalarInPlace (0 ms) 2022-11-23T02:17:33.9156721Z [ RUN ] LazyOpsTest.TestFmodTensor 2022-11-23T02:17:33.9157611Z [ OK ] LazyOpsTest.TestFmodTensor (0 ms) 2022-11-23T02:17:33.9157944Z [ RUN ] LazyOpsTest.TestFmodTensorInPlace 2022-11-23T02:17:33.9159261Z [ OK ] LazyOpsTest.TestFmodTensorInPlace (0 ms) 2022-11-23T02:17:33.9159635Z [ RUN ] LazyOpsTest.TestRemainderScalar 2022-11-23T02:17:33.9162525Z [ OK ] LazyOpsTest.TestRemainderScalar (0 ms) 2022-11-23T02:17:33.9163051Z [ RUN ] LazyOpsTest.TestRemainderScalarInPlace 2022-11-23T02:17:33.9166673Z [ OK ] LazyOpsTest.TestRemainderScalarInPlace (0 ms) 2022-11-23T02:17:33.9167089Z [ RUN ] LazyOpsTest.TestRemainderTensor 2022-11-23T02:17:33.9169819Z [ OK ] LazyOpsTest.TestRemainderTensor (0 ms) 2022-11-23T02:17:33.9170245Z [ RUN ] LazyOpsTest.TestRemainderTensorInPlace 2022-11-23T02:17:33.9174158Z [ OK ] LazyOpsTest.TestRemainderTensorInPlace (0 ms) 2022-11-23T02:17:33.9174572Z [ RUN ] LazyOpsTest.TestWhere 2022-11-23T02:17:33.9175064Z [W TensorCompare.cpp:491] Warning: where received a uint8 condition tensor. This behavior is deprecated and will be removed in a future version of PyTorch. Use a boolean condition instead. (function operator()) 2022-11-23T02:17:33.9176034Z [ OK ] LazyOpsTest.TestWhere (0 ms) 2022-11-23T02:17:33.9176342Z [ RUN ] LazyOpsTest.TestWhereBroadcast 2022-11-23T02:17:33.9177671Z [ OK ] LazyOpsTest.TestWhereBroadcast (0 ms) 2022-11-23T02:17:33.9178042Z [ RUN ] LazyOpsTest.TestThreshold 2022-11-23T02:17:33.9180871Z [ OK ] LazyOpsTest.TestThreshold (0 ms) 2022-11-23T02:17:33.9181260Z [ RUN ] LazyOpsTest.TestThresholdBackward 2022-11-23T02:17:33.9189707Z [ OK ] LazyOpsTest.TestThresholdBackward (0 ms) 2022-11-23T02:17:33.9190129Z [ RUN ] LazyOpsTest.TestThresholdInPlace 2022-11-23T02:17:33.9193087Z [ OK ] LazyOpsTest.TestThresholdInPlace (0 ms) 2022-11-23T02:17:33.9193399Z [ RUN ] LazyOpsTest.TestElu 2022-11-23T02:17:33.9196460Z [ OK ] LazyOpsTest.TestElu (0 ms) 2022-11-23T02:17:33.9196799Z [ RUN ] LazyOpsTest.TestEluInPlace 2022-11-23T02:17:33.9200384Z [ OK ] LazyOpsTest.TestEluInPlace (0 ms) 2022-11-23T02:17:33.9200824Z [ RUN ] LazyOpsTest.TestSelu 2022-11-23T02:17:33.9203614Z [ OK ] LazyOpsTest.TestSelu (0 ms) 2022-11-23T02:17:33.9204000Z [ RUN ] LazyOpsTest.TestSeluInPlace 2022-11-23T02:17:33.9207762Z [ OK ] LazyOpsTest.TestSeluInPlace (0 ms) 2022-11-23T02:17:33.9208211Z [ RUN ] LazyOpsTest.TestCelu 2022-11-23T02:17:33.9209531Z [ OK ] LazyOpsTest.TestCelu (0 ms) 2022-11-23T02:17:33.9209850Z [ RUN ] LazyOpsTest.TestCeluInPlace 2022-11-23T02:17:33.9211677Z [ OK ] LazyOpsTest.TestCeluInPlace (0 ms) 2022-11-23T02:17:33.9212009Z [ RUN ] LazyOpsTest.TestGelu 2022-11-23T02:17:33.9220941Z [ OK ] LazyOpsTest.TestGelu (0 ms) 2022-11-23T02:17:33.9221285Z [ RUN ] LazyOpsTest.TestAddMatMul 2022-11-23T02:17:33.9237685Z [ OK ] LazyOpsTest.TestAddMatMul (1 ms) 2022-11-23T02:17:33.9238076Z [ RUN ] LazyOpsTest.TestEmbedding 2022-11-23T02:17:33.9242710Z [ OK ] LazyOpsTest.TestEmbedding (0 ms) 2022-11-23T02:17:33.9243094Z [ RUN ] LazyOpsTest.TestOneHot 2022-11-23T02:17:33.9250217Z [ OK ] LazyOpsTest.TestOneHot (0 ms) 2022-11-23T02:17:33.9250601Z [ RUN ] LazyOpsTest.TestTranspose 2022-11-23T02:17:33.9252868Z [ OK ] LazyOpsTest.TestTranspose (0 ms) 2022-11-23T02:17:33.9253259Z [ RUN ] LazyOpsTest.TestTransposeInPlace 2022-11-23T02:17:33.9256489Z [ OK ] LazyOpsTest.TestTransposeInPlace (0 ms) 2022-11-23T02:17:33.9256862Z [ RUN ] LazyOpsTest.TestReshape 2022-11-23T02:17:33.9263312Z [ OK ] LazyOpsTest.TestReshape (0 ms) 2022-11-23T02:17:33.9263661Z [ RUN ] LazyOpsTest.TestResize 2022-11-23T02:17:33.9268626Z [ OK ] LazyOpsTest.TestResize (0 ms) 2022-11-23T02:17:33.9268961Z [ RUN ] LazyOpsTest.TestViewResize 2022-11-23T02:17:33.9275257Z [ OK ] LazyOpsTest.TestViewResize (0 ms) 2022-11-23T02:17:33.9275573Z [ RUN ] LazyOpsTest.TestView 2022-11-23T02:17:33.9281924Z [ OK ] LazyOpsTest.TestView (0 ms) 2022-11-23T02:17:33.9282288Z [ RUN ] LazyOpsTest.TestViewMod 2022-11-23T02:17:33.9298149Z [ OK ] LazyOpsTest.TestViewMod (1 ms) 2022-11-23T02:17:33.9298520Z [ RUN ] LazyOpsTest.TestViewModComplex 2022-11-23T02:17:33.9316209Z [ OK ] LazyOpsTest.TestViewModComplex (1 ms) 2022-11-23T02:17:33.9316602Z [ RUN ] LazyOpsTest.TestViewOfViewMod 2022-11-23T02:17:33.9337004Z [ OK ] LazyOpsTest.TestViewOfViewMod (2 ms) 2022-11-23T02:17:33.9337386Z [ RUN ] LazyOpsTest.TestViewSqueezeAddInPlace 2022-11-23T02:17:33.9345342Z [ OK ] LazyOpsTest.TestViewSqueezeAddInPlace (0 ms) 2022-11-23T02:17:33.9345686Z [ RUN ] LazyOpsTest.TestUnsafeView 2022-11-23T02:17:33.9350782Z [ OK ] LazyOpsTest.TestUnsafeView (0 ms) 2022-11-23T02:17:33.9351089Z [ RUN ] LazyOpsTest.TestNarrow 2022-11-23T02:17:33.9367577Z [ OK ] LazyOpsTest.TestNarrow (1 ms) 2022-11-23T02:17:33.9367881Z [ RUN ] LazyOpsTest.TestNarrowUpdate 2022-11-23T02:17:33.9387265Z [ OK ] LazyOpsTest.TestNarrowUpdate (1 ms) 2022-11-23T02:17:33.9387715Z [ RUN ] LazyOpsTest.TestNarrowUpdateBaseCheck 2022-11-23T02:17:33.9409947Z [ OK ] LazyOpsTest.TestNarrowUpdateBaseCheck (2 ms) 2022-11-23T02:17:33.9410336Z [ RUN ] LazyOpsTest.TestNarrowUpdateTwoSlices 2022-11-23T02:17:33.9517436Z [ OK ] LazyOpsTest.TestNarrowUpdateTwoSlices (10 ms) 2022-11-23T02:17:33.9517807Z [ RUN ] LazyOpsTest.TestNarrowUpdateView 2022-11-23T02:17:33.9539041Z [ OK ] LazyOpsTest.TestNarrowUpdateView (2 ms) 2022-11-23T02:17:33.9539452Z [ RUN ] LazyOpsTest.TestNarrowInNarrowUpdate 2022-11-23T02:17:33.9582500Z [ OK ] LazyOpsTest.TestNarrowInNarrowUpdate (4 ms) 2022-11-23T02:17:33.9582864Z [ RUN ] LazyOpsTest.TestNarrowCopy 2022-11-23T02:17:33.9590453Z [ OK ] LazyOpsTest.TestNarrowCopy (0 ms) 2022-11-23T02:17:33.9590765Z [ RUN ] LazyOpsTest.TestViewAs 2022-11-23T02:17:33.9599497Z [ OK ] LazyOpsTest.TestViewAs (0 ms) 2022-11-23T02:17:33.9599844Z [ RUN ] LazyOpsTest.TestLogSoftmax 2022-11-23T02:17:33.9624222Z [ OK ] LazyOpsTest.TestLogSoftmax (2 ms) 2022-11-23T02:17:33.9624554Z [ RUN ] LazyOpsTest.TestLogSoftmaxCast 2022-11-23T02:17:33.9657762Z [ OK ] LazyOpsTest.TestLogSoftmaxCast (3 ms) 2022-11-23T02:17:33.9658101Z [ RUN ] LazyOpsTest.TestLogSoftmaxWrapper 2022-11-23T02:17:33.9683254Z [ OK ] LazyOpsTest.TestLogSoftmaxWrapper (2 ms) 2022-11-23T02:17:33.9683578Z [ RUN ] LazyOpsTest.TestSoftmax 2022-11-23T02:17:33.9705123Z [ OK ] LazyOpsTest.TestSoftmax (2 ms) 2022-11-23T02:17:33.9705424Z [ RUN ] LazyOpsTest.TestSoftmaxCast 2022-11-23T02:17:33.9737333Z [ OK ] LazyOpsTest.TestSoftmaxCast (3 ms) 2022-11-23T02:17:33.9737656Z [ RUN ] LazyOpsTest.TestSoftmaxWrapper 2022-11-23T02:17:33.9761781Z [ OK ] LazyOpsTest.TestSoftmaxWrapper (2 ms) 2022-11-23T02:17:33.9762089Z [ RUN ] LazyOpsTest.TestSoftplus 2022-11-23T02:17:33.9765373Z [ OK ] LazyOpsTest.TestSoftplus (0 ms) 2022-11-23T02:17:33.9765678Z [ RUN ] LazyOpsTest.TestMaxPool1D 2022-11-23T02:17:33.9871454Z [ OK ] LazyOpsTest.TestMaxPool1D (10 ms) 2022-11-23T02:17:33.9871807Z [ RUN ] LazyOpsTest.TestMaxPool2D 2022-11-23T02:17:33.9951227Z [ OK ] LazyOpsTest.TestMaxPool2D (7 ms) 2022-11-23T02:17:33.9951605Z [ RUN ] LazyOpsTest.TestMaxPool2DWithIndices 2022-11-23T02:17:34.0101858Z [ OK ] LazyOpsTest.TestMaxPool2DWithIndices (15 ms) 2022-11-23T02:17:34.0102599Z [ RUN ] LazyOpsTest.TestMaxPool2DNonSquare 2022-11-23T02:17:34.0174817Z [ OK ] LazyOpsTest.TestMaxPool2DNonSquare (7 ms) 2022-11-23T02:17:34.0175186Z [ RUN ] LazyOpsTest.TestMaxPool3D 2022-11-23T02:17:34.0194102Z [ OK ] LazyOpsTest.TestMaxPool3D (1 ms) 2022-11-23T02:17:34.0194461Z [ RUN ] LazyOpsTest.TestMaxPool3DWithIndices 2022-11-23T02:17:34.0221862Z [ OK ] LazyOpsTest.TestMaxPool3DWithIndices (2 ms) 2022-11-23T02:17:34.0222259Z [ RUN ] LazyOpsTest.TestMaxPool3DIncompleteAttributes 2022-11-23T02:17:34.0235923Z [ OK ] LazyOpsTest.TestMaxPool3DIncompleteAttributes (1 ms) 2022-11-23T02:17:34.0236432Z [ RUN ] LazyOpsTest.TestMaxPool3DNonSquare 2022-11-23T02:17:34.0251042Z [ OK ] LazyOpsTest.TestMaxPool3DNonSquare (1 ms) 2022-11-23T02:17:34.0251604Z [ RUN ] LazyOpsTest.TestMaxPool2DNoBatch 2022-11-23T02:17:34.0330378Z [ OK ] LazyOpsTest.TestMaxPool2DNoBatch (7 ms) 2022-11-23T02:17:34.0331075Z [ RUN ] LazyOpsTest.TestMaxPool3DNoBatch 2022-11-23T02:17:34.0350185Z [ OK ] LazyOpsTest.TestMaxPool3DNoBatch (2 ms) 2022-11-23T02:17:34.0350521Z [ RUN ] LazyOpsTest.TestAvgPool1D 2022-11-23T02:17:34.0446293Z [ OK ] LazyOpsTest.TestAvgPool1D (9 ms) 2022-11-23T02:17:34.0446618Z [ RUN ] LazyOpsTest.TestAvgPool2D 2022-11-23T02:17:34.0524516Z [ OK ] LazyOpsTest.TestAvgPool2D (7 ms) 2022-11-23T02:17:34.0524847Z [ RUN ] LazyOpsTest.TestAvgPool2DNonSquare 2022-11-23T02:17:34.0599691Z [ OK ] LazyOpsTest.TestAvgPool2DNonSquare (7 ms) 2022-11-23T02:17:34.0600044Z [ RUN ] LazyOpsTest.TestAvgPool3D 2022-11-23T02:17:34.0617412Z [ OK ] LazyOpsTest.TestAvgPool3D (1 ms) 2022-11-23T02:17:34.0617770Z [ RUN ] LazyOpsTest.TestAvgPool3DIncompleteAttributes 2022-11-23T02:17:34.0632090Z [ OK ] LazyOpsTest.TestAvgPool3DIncompleteAttributes (1 ms) 2022-11-23T02:17:34.0632493Z [ RUN ] LazyOpsTest.TestAvgPool3DNonSquare 2022-11-23T02:17:34.0646913Z [ OK ] LazyOpsTest.TestAvgPool3DNonSquare (1 ms) 2022-11-23T02:17:34.0647275Z [ RUN ] LazyOpsTest.TestAvgPool2DNoBatch 2022-11-23T02:17:34.0720606Z [ OK ] LazyOpsTest.TestAvgPool2DNoBatch (7 ms) 2022-11-23T02:17:34.0721054Z [ RUN ] LazyOpsTest.TestAvgPool3DNoBatch 2022-11-23T02:17:34.0740135Z [ OK ] LazyOpsTest.TestAvgPool3DNoBatch (1 ms) 2022-11-23T02:17:34.0740527Z [ RUN ] LazyOpsTest.TestAdaptiveAvgPool2D 2022-11-23T02:17:34.0749784Z [ OK ] LazyOpsTest.TestAdaptiveAvgPool2D (0 ms) 2022-11-23T02:17:34.0750212Z [ RUN ] LazyOpsTest.TestAdaptiveAvgPool3D 2022-11-23T02:17:34.0988183Z [ OK ] LazyOpsTest.TestAdaptiveAvgPool3D (23 ms) 2022-11-23T02:17:34.0988597Z [ RUN ] LazyOpsTest.TestAdaptiveAvgPool3DNoBatch 2022-11-23T02:17:34.1017393Z [ OK ] LazyOpsTest.TestAdaptiveAvgPool3DNoBatch (2 ms) 2022-11-23T02:17:34.1017790Z [ RUN ] LazyOpsTest.TestAdaptiveAvgPool2DNoBatch 2022-11-23T02:17:34.1025842Z [ OK ] LazyOpsTest.TestAdaptiveAvgPool2DNoBatch (0 ms) 2022-11-23T02:17:34.1026234Z [ RUN ] LazyOpsTest.TestMaxUnpool2D 2022-11-23T02:17:34.1063766Z [ OK ] LazyOpsTest.TestMaxUnpool2D (3 ms) 2022-11-23T02:17:34.1064089Z [ RUN ] LazyOpsTest.TestMaxUnpool3D 2022-11-23T02:17:34.1087589Z [ OK ] LazyOpsTest.TestMaxUnpool3D (2 ms) 2022-11-23T02:17:34.1087898Z [ RUN ] LazyOpsTest.TestNllLoss 2022-11-23T02:17:34.1088188Z /var/lib/jenkins/workspace/test/cpp/lazy/test_lazy_ops.cpp:8184: Skipped 2022-11-23T02:17:34.1088345Z 2022-11-23T02:17:34.1088517Z [ SKIPPED ] LazyOpsTest.TestNllLoss (0 ms) 2022-11-23T02:17:34.1088821Z [ RUN ] LazyOpsTest.TestNllLoss2d 2022-11-23T02:17:34.1172615Z [ OK ] LazyOpsTest.TestNllLoss2d (8 ms) 2022-11-23T02:17:34.1172929Z [ RUN ] LazyOpsTest.TestSmoothL1Loss 2022-11-23T02:17:34.1189473Z [ OK ] LazyOpsTest.TestSmoothL1Loss (1 ms) 2022-11-23T02:17:34.1189774Z [ RUN ] LazyOpsTest.TestL1Loss 2022-11-23T02:17:34.1200022Z [ OK ] LazyOpsTest.TestL1Loss (1 ms) 2022-11-23T02:17:34.1200324Z [ RUN ] LazyOpsTest.TestL1LossBackward 2022-11-23T02:17:34.1235322Z [ OK ] LazyOpsTest.TestL1LossBackward (3 ms) 2022-11-23T02:17:34.1235632Z [ RUN ] LazyOpsTest.TestMseLoss 2022-11-23T02:17:34.1237958Z [ OK ] LazyOpsTest.TestMseLoss (0 ms) 2022-11-23T02:17:34.1238406Z [ RUN ] LazyOpsTest.TestMseLossBackward 2022-11-23T02:17:34.1260010Z [ OK ] LazyOpsTest.TestMseLossBackward (2 ms) 2022-11-23T02:17:34.1260341Z [ RUN ] LazyOpsTest.TestBatchNorm1D 2022-11-23T02:17:34.1287989Z [ OK ] LazyOpsTest.TestBatchNorm1D (2 ms) 2022-11-23T02:17:34.1288360Z [ RUN ] LazyOpsTest.TestBatchNorm2D 2022-11-23T02:17:34.1311722Z [ OK ] LazyOpsTest.TestBatchNorm2D (2 ms) 2022-11-23T02:17:34.1312273Z [ RUN ] LazyOpsTest.TestDim 2022-11-23T02:17:34.1312809Z [ OK ] LazyOpsTest.TestDim (0 ms) 2022-11-23T02:17:34.1313152Z [ RUN ] LazyOpsTest.TestContiguous 2022-11-23T02:17:34.1313451Z [ OK ] LazyOpsTest.TestContiguous (0 ms) 2022-11-23T02:17:34.1313758Z [ RUN ] LazyOpsTest.TestSqueezeAll 2022-11-23T02:17:34.1315804Z [ OK ] LazyOpsTest.TestSqueezeAll (0 ms) 2022-11-23T02:17:34.1316260Z [ RUN ] LazyOpsTest.TestSqueezeAllInPlace 2022-11-23T02:17:34.1319613Z [ OK ] LazyOpsTest.TestSqueezeAllInPlace (0 ms) 2022-11-23T02:17:34.1319972Z [ RUN ] LazyOpsTest.TestSqueezeOne 2022-11-23T02:17:34.1339557Z [ OK ] LazyOpsTest.TestSqueezeOne (1 ms) 2022-11-23T02:17:34.1339963Z [ RUN ] LazyOpsTest.TestSqueezeOneInPlace 2022-11-23T02:17:34.1364018Z [ OK ] LazyOpsTest.TestSqueezeOneInPlace (2 ms) 2022-11-23T02:17:34.1364386Z [ RUN ] LazyOpsTest.TestUnsqueeze 2022-11-23T02:17:34.1378403Z [ OK ] LazyOpsTest.TestUnsqueeze (1 ms) 2022-11-23T02:17:34.1378917Z [ RUN ] LazyOpsTest.TestUnsqueezeInPlace 2022-11-23T02:17:34.1395588Z [ OK ] LazyOpsTest.TestUnsqueezeInPlace (1 ms) 2022-11-23T02:17:34.1395984Z [ RUN ] LazyOpsTest.TestMaskedFill 2022-11-23T02:17:34.1398616Z [ OK ] LazyOpsTest.TestMaskedFill (0 ms) 2022-11-23T02:17:34.1399026Z [ RUN ] LazyOpsTest.TestMaskedFillInPlace 2022-11-23T02:17:34.1402100Z [ OK ] LazyOpsTest.TestMaskedFillInPlace (0 ms) 2022-11-23T02:17:34.1402521Z [ RUN ] LazyOpsTest.TestMaskedFillBroadcast 2022-11-23T02:17:34.1405319Z [ OK ] LazyOpsTest.TestMaskedFillBroadcast (0 ms) 2022-11-23T02:17:34.1405706Z [ RUN ] LazyOpsTest.TestFill 2022-11-23T02:17:34.1409335Z [ OK ] LazyOpsTest.TestFill (0 ms) 2022-11-23T02:17:34.1409695Z [ RUN ] LazyOpsTest.TestFillWithRank0 2022-11-23T02:17:34.1411179Z [ OK ] LazyOpsTest.TestFillWithRank0 (0 ms) 2022-11-23T02:17:34.1411552Z [ RUN ] LazyOpsTest.TestPermute 2022-11-23T02:17:34.1441810Z [ OK ] LazyOpsTest.TestPermute (3 ms) 2022-11-23T02:17:34.1442172Z [ RUN ] LazyOpsTest.TestPermuteMod 2022-11-23T02:17:34.1550569Z [ OK ] LazyOpsTest.TestPermuteMod (10 ms) 2022-11-23T02:17:34.1550940Z [ RUN ] LazyOpsTest.TestFlip 2022-11-23T02:17:34.1582779Z [ OK ] LazyOpsTest.TestFlip (3 ms) 2022-11-23T02:17:34.1583190Z [ RUN ] LazyOpsTest.TestPixelShuffle 2022-11-23T02:17:34.1589765Z [ OK ] LazyOpsTest.TestPixelShuffle (0 ms) 2022-11-23T02:17:34.1590249Z [ RUN ] LazyOpsTest.TestSumToSize 2022-11-23T02:17:34.1594014Z [ OK ] LazyOpsTest.TestSumToSize (0 ms) 2022-11-23T02:17:34.1594337Z [ RUN ] LazyOpsTest.TestTransposeDims 2022-11-23T02:17:34.1597515Z [ OK ] LazyOpsTest.TestTransposeDims (0 ms) 2022-11-23T02:17:34.1597879Z [ RUN ] LazyOpsTest.TestTransposeDimsMod 2022-11-23T02:17:34.1607035Z [ OK ] LazyOpsTest.TestTransposeDimsMod (0 ms) 2022-11-23T02:17:34.1607420Z [ RUN ] LazyOpsTest.TestTransposeDimsInPlace 2022-11-23T02:17:34.1610919Z [ OK ] LazyOpsTest.TestTransposeDimsInPlace (0 ms) 2022-11-23T02:17:34.1611583Z [ RUN ] LazyOpsTest.TestSplit 2022-11-23T02:17:34.1633861Z [ OK ] LazyOpsTest.TestSplit (2 ms) 2022-11-23T02:17:34.1634273Z [ RUN ] LazyOpsTest.TestSplitEmpty 2022-11-23T02:17:34.1634902Z [ OK ] LazyOpsTest.TestSplitEmpty (0 ms) 2022-11-23T02:17:34.1635346Z [ RUN ] LazyOpsTest.TestSplitWithSizes 2022-11-23T02:17:34.1648358Z [ OK ] LazyOpsTest.TestSplitWithSizes (1 ms) 2022-11-23T02:17:34.1648778Z [ RUN ] LazyOpsTest.TestCrossImplicitDim 2022-11-23T02:17:34.1652037Z [ OK ] LazyOpsTest.TestCrossImplicitDim (0 ms) 2022-11-23T02:17:34.1652459Z [ RUN ] LazyOpsTest.TestCrossExplicitDim 2022-11-23T02:17:34.1656162Z [ OK ] LazyOpsTest.TestCrossExplicitDim (0 ms) 2022-11-23T02:17:34.1656787Z [ RUN ] LazyOpsTest.TestCrossZeroDim 2022-11-23T02:17:34.1657154Z [ OK ] LazyOpsTest.TestCrossZeroDim (0 ms) 2022-11-23T02:17:34.1657462Z [ RUN ] LazyOpsTest.TestTriu 2022-11-23T02:17:34.1693004Z [ OK ] LazyOpsTest.TestTriu (3 ms) 2022-11-23T02:17:34.1693349Z [ RUN ] LazyOpsTest.TestTriuNonSquare 2022-11-23T02:17:34.1726895Z [ OK ] LazyOpsTest.TestTriuNonSquare (3 ms) 2022-11-23T02:17:34.1727219Z [ RUN ] LazyOpsTest.TestTriuBatch 2022-11-23T02:17:34.1759707Z [ OK ] LazyOpsTest.TestTriuBatch (3 ms) 2022-11-23T02:17:34.1760056Z [ RUN ] LazyOpsTest.TestTril 2022-11-23T02:17:34.1792952Z [ OK ] LazyOpsTest.TestTril (3 ms) 2022-11-23T02:17:34.1793271Z [ RUN ] LazyOpsTest.TestTrilNonSquare 2022-11-23T02:17:34.1826048Z [ OK ] LazyOpsTest.TestTrilNonSquare (3 ms) 2022-11-23T02:17:34.1826376Z [ RUN ] LazyOpsTest.TestTrilBatch 2022-11-23T02:17:34.1859291Z [ OK ] LazyOpsTest.TestTrilBatch (3 ms) 2022-11-23T02:17:34.1859626Z [ RUN ] LazyOpsTest.TestTriuInPlace 2022-11-23T02:17:34.1899078Z [ OK ] LazyOpsTest.TestTriuInPlace (3 ms) 2022-11-23T02:17:34.1899409Z [ RUN ] LazyOpsTest.TestTrilInPlace 2022-11-23T02:17:34.1938523Z [ OK ] LazyOpsTest.TestTrilInPlace (3 ms) 2022-11-23T02:17:34.1938954Z [ RUN ] LazyOpsTest.TestTrace 2022-11-23T02:17:34.1941212Z [ OK ] LazyOpsTest.TestTrace (0 ms) 2022-11-23T02:17:34.1941506Z [ RUN ] LazyOpsTest.TestTraceWide 2022-11-23T02:17:34.1943775Z [ OK ] LazyOpsTest.TestTraceWide (0 ms) 2022-11-23T02:17:34.1944155Z [ RUN ] LazyOpsTest.TestTraceNarrow 2022-11-23T02:17:34.1946307Z [ OK ] LazyOpsTest.TestTraceNarrow (0 ms) 2022-11-23T02:17:34.1946681Z [ RUN ] LazyOpsTest.TestDiagRank1 2022-11-23T02:17:34.2125325Z [ OK ] LazyOpsTest.TestDiagRank1 (17 ms) 2022-11-23T02:17:34.2125665Z [ RUN ] LazyOpsTest.TestDiagRank2 2022-11-23T02:17:34.2167957Z [ OK ] LazyOpsTest.TestDiagRank2 (4 ms) 2022-11-23T02:17:34.2168355Z [ RUN ] LazyOpsTest.TestDiagFlat 2022-11-23T02:17:34.2852477Z [ OK ] LazyOpsTest.TestDiagFlat (68 ms) 2022-11-23T02:17:34.2852821Z [ RUN ] LazyOpsTest.TestDiagonal 2022-11-23T02:17:34.2880043Z [ OK ] LazyOpsTest.TestDiagonal (2 ms) 2022-11-23T02:17:34.2880605Z [ RUN ] LazyOpsTest.TestDiagonalUpdate 2022-11-23T02:17:34.2948216Z [ OK ] LazyOpsTest.TestDiagonalUpdate (6 ms) 2022-11-23T02:17:34.2948556Z [ RUN ] LazyOpsTest.TestDiagonalNonSquare 2022-11-23T02:17:34.2975528Z [ OK ] LazyOpsTest.TestDiagonalNonSquare (2 ms) 2022-11-23T02:17:34.2975892Z [ RUN ] LazyOpsTest.TestDiagonalBatch 2022-11-23T02:17:34.3003347Z [ OK ] LazyOpsTest.TestDiagonalBatch (2 ms) 2022-11-23T02:17:34.3003653Z [ RUN ] LazyOpsTest.TestFlatten 2022-11-23T02:17:34.3068753Z [ OK ] LazyOpsTest.TestFlatten (6 ms) 2022-11-23T02:17:34.3069309Z [ RUN ] LazyOpsTest.TestLogicalAnd 2022-11-23T02:17:34.3087400Z [ OK ] LazyOpsTest.TestLogicalAnd (1 ms) 2022-11-23T02:17:34.3087747Z [ RUN ] LazyOpsTest.TestBitwiseAnd 2022-11-23T02:17:34.3090065Z [ OK ] LazyOpsTest.TestBitwiseAnd (0 ms) 2022-11-23T02:17:34.3090409Z [ RUN ] LazyOpsTest.TestBitwiseAndInPlace 2022-11-23T02:17:34.3092914Z [ OK ] LazyOpsTest.TestBitwiseAndInPlace (0 ms) 2022-11-23T02:17:34.3093263Z [ RUN ] LazyOpsTest.TestBitwiseAndScalar 2022-11-23T02:17:34.3095576Z [ OK ] LazyOpsTest.TestBitwiseAndScalar (0 ms) 2022-11-23T02:17:34.3095927Z [ RUN ] LazyOpsTest.TestBitwiseAndScalarInPlace 2022-11-23T02:17:34.3098341Z [ OK ] LazyOpsTest.TestBitwiseAndScalarInPlace (0 ms) 2022-11-23T02:17:34.3098717Z [ RUN ] LazyOpsTest.TestBitwiseAndPromotion 2022-11-23T02:17:34.3102967Z [ OK ] LazyOpsTest.TestBitwiseAndPromotion (0 ms) 2022-11-23T02:17:34.3103288Z [ RUN ] LazyOpsTest.TestBitwiseOr 2022-11-23T02:17:34.3105555Z [ OK ] LazyOpsTest.TestBitwiseOr (0 ms) 2022-11-23T02:17:34.3105886Z [ RUN ] LazyOpsTest.TestBitwiseOrInPlace 2022-11-23T02:17:34.3108369Z [ OK ] LazyOpsTest.TestBitwiseOrInPlace (0 ms) 2022-11-23T02:17:34.3108714Z [ RUN ] LazyOpsTest.TestBitwiseOrScalar 2022-11-23T02:17:34.3111558Z [ OK ] LazyOpsTest.TestBitwiseOrScalar (0 ms) 2022-11-23T02:17:34.3111925Z [ RUN ] LazyOpsTest.TestBitwiseOrScalarInPlace 2022-11-23T02:17:34.3114366Z [ OK ] LazyOpsTest.TestBitwiseOrScalarInPlace (0 ms) 2022-11-23T02:17:34.3114814Z [ RUN ] LazyOpsTest.TestBitwiseXor 2022-11-23T02:17:34.3115730Z [ OK ] LazyOpsTest.TestBitwiseXor (0 ms) 2022-11-23T02:17:34.3116118Z [ RUN ] LazyOpsTest.TestBitwiseXorInPlace 2022-11-23T02:17:34.3116550Z [ OK ] LazyOpsTest.TestBitwiseXorInPlace (0 ms) 2022-11-23T02:17:34.3116909Z [ RUN ] LazyOpsTest.TestBitwiseXorScalar 2022-11-23T02:17:34.3117374Z [ OK ] LazyOpsTest.TestBitwiseXorScalar (0 ms) 2022-11-23T02:17:34.3117864Z [ RUN ] LazyOpsTest.TestBitwiseXorScalarInPlace 2022-11-23T02:17:34.3118336Z [ OK ] LazyOpsTest.TestBitwiseXorScalarInPlace (0 ms) 2022-11-23T02:17:34.3118731Z [ RUN ] LazyOpsTest.TestLshift 2022-11-23T02:17:34.3119661Z [ OK ] LazyOpsTest.TestLshift (0 ms) 2022-11-23T02:17:34.3120050Z [ RUN ] LazyOpsTest.TestLshiftInPlace 2022-11-23T02:17:34.3121599Z [ OK ] LazyOpsTest.TestLshiftInPlace (0 ms) 2022-11-23T02:17:34.3121961Z [ RUN ] LazyOpsTest.TestLshiftScalar 2022-11-23T02:17:34.3122905Z [ OK ] LazyOpsTest.TestLshiftScalar (0 ms) 2022-11-23T02:17:34.3123262Z [ RUN ] LazyOpsTest.TestLshiftScalarInPlace 2022-11-23T02:17:34.3124262Z [ OK ] LazyOpsTest.TestLshiftScalarInPlace (0 ms) 2022-11-23T02:17:34.3124670Z [ RUN ] LazyOpsTest.TestRshift 2022-11-23T02:17:34.3125412Z [ OK ] LazyOpsTest.TestRshift (0 ms) 2022-11-23T02:17:34.3125819Z [ RUN ] LazyOpsTest.TestRshiftInPlace 2022-11-23T02:17:34.3127387Z [ OK ] LazyOpsTest.TestRshiftInPlace (0 ms) 2022-11-23T02:17:34.3127725Z [ RUN ] LazyOpsTest.TestRshiftScalar 2022-11-23T02:17:34.3128784Z [ OK ] LazyOpsTest.TestRshiftScalar (0 ms) 2022-11-23T02:17:34.3129427Z [ RUN ] LazyOpsTest.TestRshiftScalarInPlace 2022-11-23T02:17:34.3130241Z [ OK ] LazyOpsTest.TestRshiftScalarInPlace (0 ms) 2022-11-23T02:17:34.3130581Z [ RUN ] LazyOpsTest.TestMeshgrid 2022-11-23T02:17:34.3130950Z [W TensorShape.cpp:3433] Warning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (function operator()) 2022-11-23T02:17:34.3140754Z [ OK ] LazyOpsTest.TestMeshgrid (1 ms) 2022-11-23T02:17:34.3141064Z [ RUN ] LazyOpsTest.TestConstantPad 2022-11-23T02:17:34.3145130Z [ OK ] LazyOpsTest.TestConstantPad (0 ms) 2022-11-23T02:17:34.3145495Z [ RUN ] LazyOpsTest.TestConstantPadIncomplete 2022-11-23T02:17:34.3149017Z [ OK ] LazyOpsTest.TestConstantPadIncomplete (0 ms) 2022-11-23T02:17:34.3149474Z [ RUN ] LazyOpsTest.TestReflectionPad2dRank3 2022-11-23T02:17:34.3151405Z [ OK ] LazyOpsTest.TestReflectionPad2dRank3 (0 ms) 2022-11-23T02:17:34.3151777Z [ RUN ] LazyOpsTest.TestReflectionPad2dRank4 2022-11-23T02:17:34.3153662Z [ OK ] LazyOpsTest.TestReflectionPad2dRank4 (0 ms) 2022-11-23T02:17:34.3154036Z [ RUN ] LazyOpsTest.TestReflectionPad2dBackward 2022-11-23T02:17:34.3164056Z [ OK ] LazyOpsTest.TestReflectionPad2dBackward (1 ms) 2022-11-23T02:17:34.3164544Z [ RUN ] LazyOpsTest.TestReplicationPad1d 2022-11-23T02:17:34.3165520Z [ OK ] LazyOpsTest.TestReplicationPad1d (0 ms) 2022-11-23T02:17:34.3165938Z [ RUN ] LazyOpsTest.TestReplicationPad1dZeroPad 2022-11-23T02:17:34.3166661Z [ OK ] LazyOpsTest.TestReplicationPad1dZeroPad (0 ms) 2022-11-23T02:17:34.3167048Z [ RUN ] LazyOpsTest.TestReplicationPad1dBackward 2022-11-23T02:17:34.3174235Z [ OK ] LazyOpsTest.TestReplicationPad1dBackward (0 ms) 2022-11-23T02:17:34.3174698Z [ RUN ] LazyOpsTest.TestReplicationPad2d 2022-11-23T02:17:34.3175260Z [ OK ] LazyOpsTest.TestReplicationPad2d (0 ms) 2022-11-23T02:17:34.3175648Z [ RUN ] LazyOpsTest.TestReplicationPad2dZeroPad 2022-11-23T02:17:34.3176333Z [ OK ] LazyOpsTest.TestReplicationPad2dZeroPad (0 ms) 2022-11-23T02:17:34.3177016Z [ RUN ] LazyOpsTest.TestReplicationPad2dBackward 2022-11-23T02:17:34.3185575Z [ OK ] LazyOpsTest.TestReplicationPad2dBackward (0 ms) 2022-11-23T02:17:34.3186146Z [ RUN ] LazyOpsTest.TestAsStrided 2022-11-23T02:17:34.3198529Z [ OK ] LazyOpsTest.TestAsStrided (1 ms) 2022-11-23T02:17:34.3199094Z [ RUN ] LazyOpsTest.TestAsStridedInPlace 2022-11-23T02:17:34.3217737Z [ OK ] LazyOpsTest.TestAsStridedInPlace (1 ms) 2022-11-23T02:17:34.3218304Z [ RUN ] LazyOpsTest.TestAsStridedWithOffset 2022-11-23T02:17:34.3223078Z [ OK ] LazyOpsTest.TestAsStridedWithOffset (0 ms) 2022-11-23T02:17:34.3223678Z [ RUN ] LazyOpsTest.TestAsStridedWithInplaceCopy 2022-11-23T02:17:34.3230489Z [ OK ] LazyOpsTest.TestAsStridedWithInplaceCopy (0 ms) 2022-11-23T02:17:34.3231134Z [ RUN ] LazyOpsTest.TestEmptyStrided 2022-11-23T02:17:34.3231465Z [ OK ] LazyOpsTest.TestEmptyStrided (0 ms) 2022-11-23T02:17:34.3231782Z [ RUN ] LazyOpsTest.TestAvgPool2DBackward 2022-11-23T02:17:34.3406468Z [ OK ] LazyOpsTest.TestAvgPool2DBackward (17 ms) 2022-11-23T02:17:34.3407011Z [ RUN ] LazyOpsTest.TestAvgPool3DBackward 2022-11-23T02:17:34.3504380Z [ OK ] LazyOpsTest.TestAvgPool3DBackward (9 ms) 2022-11-23T02:17:34.3504996Z [ RUN ] LazyOpsTest.TestAvgPool2DNoBatchBackward 2022-11-23T02:17:34.3706013Z [ OK ] LazyOpsTest.TestAvgPool2DNoBatchBackward (20 ms) 2022-11-23T02:17:34.3706416Z [ RUN ] LazyOpsTest.TestAvgPool3DNoBatchBackward 2022-11-23T02:17:34.3809655Z [ OK ] LazyOpsTest.TestAvgPool3DNoBatchBackward (10 ms) 2022-11-23T02:17:34.3810098Z [ RUN ] LazyOpsTest.TestAdaptiveAvgPool3DNoBatchBackward 2022-11-23T02:17:34.3853671Z [ OK ] LazyOpsTest.TestAdaptiveAvgPool3DNoBatchBackward (4 ms) 2022-11-23T02:17:34.3854341Z [ RUN ] LazyOpsTest.TestAdaptiveAvgPool3DBackward 2022-11-23T02:17:34.3942478Z [ OK ] LazyOpsTest.TestAdaptiveAvgPool3DBackward (8 ms) 2022-11-23T02:17:34.3943021Z [ RUN ] LazyOpsTest.TestAdaptiveAvgPool2DBackward 2022-11-23T02:17:34.3970785Z [ OK ] LazyOpsTest.TestAdaptiveAvgPool2DBackward (2 ms) 2022-11-23T02:17:34.3971205Z [ RUN ] LazyOpsTest.TestAdaptiveAvgPool2DNoBatchBackward 2022-11-23T02:17:34.3994881Z [ OK ] LazyOpsTest.TestAdaptiveAvgPool2DNoBatchBackward (2 ms) 2022-11-23T02:17:34.3995261Z [ RUN ] LazyOpsTest.TestConv2D 2022-11-23T02:17:34.5524412Z [ OK ] LazyOpsTest.TestConv2D (152 ms) 2022-11-23T02:17:34.5524921Z [ RUN ] LazyOpsTest.TestConv2DBackward 2022-11-23T02:17:35.0888304Z [ OK ] LazyOpsTest.TestConv2DBackward (536 ms) 2022-11-23T02:17:35.0888729Z [ RUN ] LazyOpsTest.TestTransposedConv2DBackward 2022-11-23T02:17:35.5848556Z [ OK ] LazyOpsTest.TestTransposedConv2DBackward (495 ms) 2022-11-23T02:17:35.5849396Z [ RUN ] LazyOpsTest.TestConv3DBackward 2022-11-23T02:17:35.9134054Z [ OK ] LazyOpsTest.TestConv3DBackward (328 ms) 2022-11-23T02:17:35.9134823Z [ RUN ] LazyOpsTest.TestTransposedConv3DBackward 2022-11-23T02:17:36.6210853Z [ OK ] LazyOpsTest.TestTransposedConv3DBackward (707 ms) 2022-11-23T02:17:36.6211729Z [ RUN ] LazyOpsTest.TestMaxPool2DBackward 2022-11-23T02:17:36.6325210Z [ OK ] LazyOpsTest.TestMaxPool2DBackward (11 ms) 2022-11-23T02:17:36.6325831Z [ RUN ] LazyOpsTest.TestMaxPool3DBackward 2022-11-23T02:17:36.6386937Z [ OK ] LazyOpsTest.TestMaxPool3DBackward (6 ms) 2022-11-23T02:17:36.6387511Z [ RUN ] LazyOpsTest.TestMaxPool2DNoBatchBackward 2022-11-23T02:17:36.6499674Z [ OK ] LazyOpsTest.TestMaxPool2DNoBatchBackward (11 ms) 2022-11-23T02:17:36.6500349Z [ RUN ] LazyOpsTest.TestMaxPool3DNoBatchBackward 2022-11-23T02:17:36.6560859Z [ OK ] LazyOpsTest.TestMaxPool3DNoBatchBackward (6 ms) 2022-11-23T02:17:36.6561443Z [ RUN ] LazyOpsTest.TestMaxUnpool2DBackward 2022-11-23T02:17:36.6771183Z [ OK ] LazyOpsTest.TestMaxUnpool2DBackward (21 ms) 2022-11-23T02:17:36.6772008Z [ RUN ] LazyOpsTest.TestMaxUnpool3DBackward 2022-11-23T02:17:36.6927958Z [ OK ] LazyOpsTest.TestMaxUnpool3DBackward (15 ms) 2022-11-23T02:17:36.6928321Z [ RUN ] LazyOpsTest.TestTanhBackward 2022-11-23T02:17:36.6937709Z [ OK ] LazyOpsTest.TestTanhBackward (0 ms) 2022-11-23T02:17:36.6938200Z [ RUN ] LazyOpsTest.TestSigmoidBackward 2022-11-23T02:17:36.6946279Z [ OK ] LazyOpsTest.TestSigmoidBackward (0 ms) 2022-11-23T02:17:36.6946681Z [ RUN ] LazyOpsTest.TestLogSigmoidBackward 2022-11-23T02:17:36.6957557Z [ OK ] LazyOpsTest.TestLogSigmoidBackward (1 ms) 2022-11-23T02:17:36.6957993Z [ RUN ] LazyOpsTest.TestLogSoftmaxBackward 2022-11-23T02:17:36.7045443Z [ OK ] LazyOpsTest.TestLogSoftmaxBackward (8 ms) 2022-11-23T02:17:36.7045845Z [ RUN ] LazyOpsTest.TestSoftmaxBackward 2022-11-23T02:17:36.7124070Z [ OK ] LazyOpsTest.TestSoftmaxBackward (7 ms) 2022-11-23T02:17:36.7124680Z [ RUN ] LazyOpsTest.TestSoftplusBackward 2022-11-23T02:17:36.7134832Z [ OK ] LazyOpsTest.TestSoftplusBackward (1 ms) 2022-11-23T02:17:36.7135248Z [ RUN ] LazyOpsTest.TestReluBackward 2022-11-23T02:17:36.7144612Z [ OK ] LazyOpsTest.TestReluBackward (0 ms) 2022-11-23T02:17:36.7145017Z [ RUN ] LazyOpsTest.TestRreluBackward 2022-11-23T02:17:36.7154554Z [ OK ] LazyOpsTest.TestRreluBackward (0 ms) 2022-11-23T02:17:36.7154998Z [ RUN ] LazyOpsTest.TestHardshrinkBackward 2022-11-23T02:17:36.7164216Z [ OK ] LazyOpsTest.TestHardshrinkBackward (0 ms) 2022-11-23T02:17:36.7164773Z [ RUN ] LazyOpsTest.TestSoftshrinkBackward 2022-11-23T02:17:36.7174745Z [ OK ] LazyOpsTest.TestSoftshrinkBackward (1 ms) 2022-11-23T02:17:36.7175180Z [ RUN ] LazyOpsTest.TestHardtanhBackward 2022-11-23T02:17:36.7180271Z [ OK ] LazyOpsTest.TestHardtanhBackward (0 ms) 2022-11-23T02:17:36.7180694Z [ RUN ] LazyOpsTest.TestEluBackward 2022-11-23T02:17:36.7191679Z [ OK ] LazyOpsTest.TestEluBackward (1 ms) 2022-11-23T02:17:36.7192073Z [ RUN ] LazyOpsTest.TestGeluBackward 2022-11-23T02:17:36.7207995Z [ OK ] LazyOpsTest.TestGeluBackward (1 ms) 2022-11-23T02:17:36.7208421Z [ RUN ] LazyOpsTest.TestLeakyReluBackward 2022-11-23T02:17:36.7218950Z [ OK ] LazyOpsTest.TestLeakyReluBackward (1 ms) 2022-11-23T02:17:36.7219320Z [ RUN ] LazyOpsTest.TestTransposeBackward 2022-11-23T02:17:36.7227855Z [ OK ] LazyOpsTest.TestTransposeBackward (0 ms) 2022-11-23T02:17:36.7228222Z [ RUN ] LazyOpsTest.TestAddMatMulBackward 2022-11-23T02:17:36.7298298Z [ OK ] LazyOpsTest.TestAddMatMulBackward (7 ms) 2022-11-23T02:17:36.7298691Z [ RUN ] LazyOpsTest.TestBinaryCrossEntropyBackward 2022-11-23T02:17:36.7362243Z [ OK ] LazyOpsTest.TestBinaryCrossEntropyBackward (6 ms) 2022-11-23T02:17:36.7362756Z [ RUN ] LazyOpsTest.TestNllLossBackward 2022-11-23T02:17:36.7363047Z /var/lib/jenkins/workspace/test/cpp/lazy/test_lazy_ops.cpp:10965: Skipped 2022-11-23T02:17:36.7363219Z 2022-11-23T02:17:36.7363419Z [ SKIPPED ] LazyOpsTest.TestNllLossBackward (0 ms) 2022-11-23T02:17:36.7363765Z [ RUN ] LazyOpsTest.TestNllLoss2dBackward 2022-11-23T02:17:36.7673817Z [ OK ] LazyOpsTest.TestNllLoss2dBackward (31 ms) 2022-11-23T02:17:36.7674184Z [ RUN ] LazyOpsTest.TestSmoothL1LossBackward 2022-11-23T02:17:36.7733205Z [ OK ] LazyOpsTest.TestSmoothL1LossBackward (5 ms) 2022-11-23T02:17:36.7733566Z [ RUN ] LazyOpsTest.TestViewBackward 2022-11-23T02:17:36.7754782Z [ OK ] LazyOpsTest.TestViewBackward (2 ms) 2022-11-23T02:17:36.7755202Z [ RUN ] LazyOpsTest.TestBatchNorm2DBackward 2022-11-23T02:17:36.7816940Z [ OK ] LazyOpsTest.TestBatchNorm2DBackward (6 ms) 2022-11-23T02:17:36.7817311Z [ RUN ] LazyOpsTest.TestBatchNorm3DBackward 2022-11-23T02:17:36.7878295Z [ OK ] LazyOpsTest.TestBatchNorm3DBackward (6 ms) 2022-11-23T02:17:36.7878671Z [ RUN ] LazyOpsTest.TestBCEWithLogitsBackward 2022-11-23T02:17:36.8246679Z [ OK ] LazyOpsTest.TestBCEWithLogitsBackward (36 ms) 2022-11-23T02:17:36.8247035Z [ RUN ] LazyOpsTest.TestKlDivBackward 2022-11-23T02:17:36.8322945Z [ OK ] LazyOpsTest.TestKlDivBackward (7 ms) 2022-11-23T02:17:36.8323298Z [ RUN ] LazyOpsTest.TestEmbeddingBackward 2022-11-23T02:17:36.9101584Z [ OK ] LazyOpsTest.TestEmbeddingBackward (77 ms) 2022-11-23T02:17:36.9102071Z [ RUN ] LazyOpsTest.TestAmpForeachNonFiniteCheckAndUnscale 2022-11-23T02:17:36.9102465Z /var/lib/jenkins/workspace/test/cpp/lazy/test_lazy_ops.cpp:11362: Skipped 2022-11-23T02:17:36.9102652Z 2022-11-23T02:17:36.9103157Z [ SKIPPED ] LazyOpsTest.TestAmpForeachNonFiniteCheckAndUnscale (0 ms) 2022-11-23T02:17:36.9103551Z [ RUN ] LazyOpsTest.TestAmpUpdateScale 2022-11-23T02:17:36.9103922Z /var/lib/jenkins/workspace/test/cpp/lazy/test_lazy_ops.cpp:11411: Skipped 2022-11-23T02:17:36.9104090Z 2022-11-23T02:17:36.9104270Z [ SKIPPED ] LazyOpsTest.TestAmpUpdateScale (0 ms) 2022-11-23T02:17:36.9104677Z [ RUN ] LazyOpsTest.TestEarlySyncLiveTensors 2022-11-23T02:17:36.9105038Z [ OK ] LazyOpsTest.TestEarlySyncLiveTensors (0 ms) 2022-11-23T02:17:36.9105482Z [ RUN ] LazyOpsTest.TestLerp 2022-11-23T02:17:36.9105894Z [ OK ] LazyOpsTest.TestLerp (0 ms) 2022-11-23T02:17:36.9106219Z [ RUN ] LazyOpsTest.TestLerpScalar 2022-11-23T02:17:36.9106641Z [ OK ] LazyOpsTest.TestLerpScalar (0 ms) 2022-11-23T02:17:36.9106945Z [ RUN ] LazyOpsTest.TestLerpInplace 2022-11-23T02:17:36.9108106Z [ OK ] LazyOpsTest.TestLerpInplace (0 ms) 2022-11-23T02:17:36.9108705Z [ RUN ] LazyOpsTest.TestLerpScalarInplace 2022-11-23T02:17:36.9109533Z [ OK ] LazyOpsTest.TestLerpScalarInplace (0 ms) 2022-11-23T02:17:36.9110090Z [ RUN ] LazyOpsTest.TestLerpOut 2022-11-23T02:17:36.9110901Z [ OK ] LazyOpsTest.TestLerpOut (0 ms) 2022-11-23T02:17:36.9111471Z [ RUN ] LazyOpsTest.TestLerpScalarOut 2022-11-23T02:17:36.9112536Z [ OK ] LazyOpsTest.TestLerpScalarOut (0 ms) 2022-11-23T02:17:36.9113086Z [ RUN ] LazyOpsTest.IsAliasOf 2022-11-23T02:17:36.9114063Z [ OK ] LazyOpsTest.IsAliasOf (0 ms) 2022-11-23T02:17:36.9114680Z [----------] 575 tests from LazyOpsTest (4098 ms total) 2022-11-23T02:17:36.9114949Z 2022-11-23T02:17:36.9115199Z [----------] Global test environment tear-down 2022-11-23T02:17:36.9172300Z [==========] 612 tests from 10 test suites ran. (4133 ms total) 2022-11-23T02:17:36.9172781Z [ PASSED ] 608 tests. 2022-11-23T02:17:36.9173226Z [ SKIPPED ] 4 tests, listed below: 2022-11-23T02:17:36.9173531Z [ SKIPPED ] LazyOpsTest.TestNllLoss 2022-11-23T02:17:36.9173841Z [ SKIPPED ] LazyOpsTest.TestNllLossBackward 2022-11-23T02:17:36.9174363Z [ SKIPPED ] LazyOpsTest.TestAmpForeachNonFiniteCheckAndUnscale 2022-11-23T02:17:36.9174859Z [ SKIPPED ] LazyOpsTest.TestAmpUpdateScale 2022-11-23T02:17:36.9956688Z + [[ parallelnative-linux-focal-py3.7-gcc7 != *-tsan* ]] 2022-11-23T02:17:36.9957003Z + python test/cpp/jit/tests_setup.py shutdown 2022-11-23T02:17:38.2924213Z + wait 2022-11-23T02:17:38.2924620Z + OMP_NUM_THREADS=2 2022-11-23T02:17:38.2925040Z + TORCH_CPP_TEST_MNIST_PATH=test/cpp/api/mnist 2022-11-23T02:17:38.2925666Z + /opt/conda/lib/python3.7/site-packages/torch/bin/test_api '--gtest_filter=-IMethodTest.*' --gtest_output=xml:test/test-reports/cpp-unittest/test_libtorch/test_api.xml 2022-11-23T02:17:38.6284164Z CUDA not available. Disabling CUDA and MultiCUDA tests 2022-11-23T02:17:38.6291793Z Note: Google Test filter = -IMethodTest.*:*_CUDA:*_MultiCUDA 2022-11-23T02:17:38.6292211Z [==========] Running 992 tests from 48 test suites. 2022-11-23T02:17:38.6292525Z [----------] Global test environment set-up. 2022-11-23T02:17:38.6292895Z [----------] 9 tests from AutogradAPITests 2022-11-23T02:17:38.6293222Z [ RUN ] AutogradAPITests.BackwardSimpleTest 2022-11-23T02:17:38.6472501Z [ OK ] AutogradAPITests.BackwardSimpleTest (17 ms) 2022-11-23T02:17:38.6472869Z [ RUN ] AutogradAPITests.BackwardTest 2022-11-23T02:17:38.6473697Z [W engine.cpp:1127] Warning: Using backward() with create_graph=True will create a reference cycle between the parameter and its gradient which can cause a memory leak. We recommend using autograd.grad when creating the graph to avoid this. If you have to use this function, make sure to reset the .grad fields of your parameters to None after use to break the cycle and avoid the leak. (function operator()) 2022-11-23T02:17:38.6484708Z [ OK ] AutogradAPITests.BackwardTest (1 ms) 2022-11-23T02:17:38.6485072Z [ RUN ] AutogradAPITests.GradSimpleTest 2022-11-23T02:17:38.6486007Z [ OK ] AutogradAPITests.GradSimpleTest (0 ms) 2022-11-23T02:17:38.6486476Z [ RUN ] AutogradAPITests.GradTest 2022-11-23T02:17:38.6488955Z [ OK ] AutogradAPITests.GradTest (0 ms) 2022-11-23T02:17:38.6489342Z [ RUN ] AutogradAPITests.GradNonLeafTest 2022-11-23T02:17:38.6492263Z [W TensorBody.h:485] Warning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (function grad) 2022-11-23T02:17:38.6494145Z [W TensorBody.h:485] Warning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (function grad) 2022-11-23T02:17:38.6495589Z [W TensorBody.h:485] Warning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (function grad) 2022-11-23T02:17:38.6497092Z [W TensorBody.h:485] Warning: The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad attribute won't be populated during autograd.backward(). If you indeed want the .grad field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor instead. See github.com/pytorch/pytorch/pull/30531 for more informations. (function grad) 2022-11-23T02:17:38.6497802Z [ OK ] AutogradAPITests.GradNonLeafTest (0 ms) 2022-11-23T02:17:38.6498155Z [ RUN ] AutogradAPITests.GradUnreachableTest 2022-11-23T02:17:38.6588622Z [ OK ] AutogradAPITests.GradUnreachableTest (9 ms) 2022-11-23T02:17:38.6589020Z [ RUN ] AutogradAPITests.EmptyInput 2022-11-23T02:17:38.6616653Z [ OK ] AutogradAPITests.EmptyInput (2 ms) 2022-11-23T02:17:38.6617045Z [ RUN ] AutogradAPITests.RetainGrad 2022-11-23T02:17:38.6622280Z [ OK ] AutogradAPITests.RetainGrad (0 ms) 2022-11-23T02:17:38.6622847Z [ RUN ] AutogradAPITests.AnomalyMode 2022-11-23T02:17:38.6623362Z [W anomaly_mode.cpp:27] Warning: This mode should be enabled only for debugging as the different tests will slow down your program execution. (function operator()) 2022-11-23T02:17:38.8217343Z [ OK ] AutogradAPITests.AnomalyMode (159 ms) 2022-11-23T02:17:38.8217749Z [----------] 9 tests from AutogradAPITests (192 ms total) 2022-11-23T02:17:38.8217958Z 2022-11-23T02:17:38.8218141Z [----------] 33 tests from CustomAutogradTest 2022-11-23T02:17:38.8218526Z [ RUN ] CustomAutogradTest.GradUnreachableDiscoveryTest 2022-11-23T02:17:38.8219176Z [ OK ] CustomAutogradTest.GradUnreachableDiscoveryTest (0 ms) 2022-11-23T02:17:38.8219609Z [ RUN ] CustomAutogradTest.CustomFunction 2022-11-23T02:17:38.8220962Z [ OK ] CustomAutogradTest.CustomFunction (0 ms) 2022-11-23T02:17:38.8221402Z [ RUN ] CustomAutogradTest.CustomFunctionWithTensorList 2022-11-23T02:17:38.8223020Z [ OK ] CustomAutogradTest.CustomFunctionWithTensorList (0 ms) 2022-11-23T02:17:38.8223674Z [ RUN ] CustomAutogradTest.GraphTaskTrimEdges 2022-11-23T02:17:38.8226970Z [ OK ] CustomAutogradTest.GraphTaskTrimEdges (0 ms) 2022-11-23T02:17:38.8227483Z [ RUN ] CustomAutogradTest.FunctionReturnsInput 2022-11-23T02:17:38.8228062Z [ OK ] CustomAutogradTest.FunctionReturnsInput (0 ms) 2022-11-23T02:17:38.8228479Z [ RUN ] CustomAutogradTest.FunctionReturnsUndefined 2022-11-23T02:17:38.8229857Z [ OK ] CustomAutogradTest.FunctionReturnsUndefined (0 ms) 2022-11-23T02:17:38.8230243Z [ RUN ] CustomAutogradTest.MaterializeGrads 2022-11-23T02:17:38.8231426Z [ OK ] CustomAutogradTest.MaterializeGrads (0 ms) 2022-11-23T02:17:38.8231913Z [ RUN ] CustomAutogradTest.DontMaterializeGrads 2022-11-23T02:17:38.8232373Z [ OK ] CustomAutogradTest.DontMaterializeGrads (0 ms) 2022-11-23T02:17:38.8232934Z [ RUN ] CustomAutogradTest.NoGradCustomFunction 2022-11-23T02:17:38.8233375Z [ OK ] CustomAutogradTest.NoGradCustomFunction (0 ms) 2022-11-23T02:17:38.8233722Z [ RUN ] CustomAutogradTest.MarkDirty 2022-11-23T02:17:38.8234048Z [ OK ] CustomAutogradTest.MarkDirty (0 ms) 2022-11-23T02:17:38.8234510Z [ RUN ] CustomAutogradTest.MarkNonDifferentiable 2022-11-23T02:17:38.8235302Z [ OK ] CustomAutogradTest.MarkNonDifferentiable (0 ms) 2022-11-23T02:17:38.8235711Z [ RUN ] CustomAutogradTest.MarkNonDifferentiableMixed 2022-11-23T02:17:38.8238591Z [ OK ] CustomAutogradTest.MarkNonDifferentiableMixed (0 ms) 2022-11-23T02:17:38.8239043Z [ RUN ] CustomAutogradTest.MarkNonDifferentiableNone 2022-11-23T02:17:38.8239574Z [ OK ] CustomAutogradTest.MarkNonDifferentiableNone (0 ms) 2022-11-23T02:17:38.8239966Z [ RUN ] CustomAutogradTest.ReturnLeafInplace 2022-11-23T02:17:38.8241791Z [ OK ] CustomAutogradTest.ReturnLeafInplace (0 ms) 2022-11-23T02:17:38.8242204Z [ RUN ] CustomAutogradTest.ReturnDuplicateInplace 2022-11-23T02:17:38.8264786Z [ OK ] CustomAutogradTest.ReturnDuplicateInplace (2 ms) 2022-11-23T02:17:38.8265385Z [ RUN ] CustomAutogradTest.ReturnDuplicate 2022-11-23T02:17:38.8265741Z [ OK ] CustomAutogradTest.ReturnDuplicate (0 ms) 2022-11-23T02:17:38.8266124Z [ RUN ] CustomAutogradTest.SaveEmptyForBackward 2022-11-23T02:17:38.8266875Z [ OK ] CustomAutogradTest.SaveEmptyForBackward (0 ms) 2022-11-23T02:17:38.8267386Z [ RUN ] CustomAutogradTest.InvalidGradients 2022-11-23T02:17:38.8326581Z [ OK ] CustomAutogradTest.InvalidGradients (5 ms) 2022-11-23T02:17:38.8327217Z [ RUN ] CustomAutogradTest.NoGradInput 2022-11-23T02:17:38.8327780Z [ OK ] CustomAutogradTest.NoGradInput (0 ms) 2022-11-23T02:17:38.8328243Z [ RUN ] CustomAutogradTest.TooManyGrads 2022-11-23T02:17:38.8328582Z [ OK ] CustomAutogradTest.TooManyGrads (0 ms) 2022-11-23T02:17:38.8328947Z [ RUN ] CustomAutogradTest.DepNoGrad 2022-11-23T02:17:38.8329273Z [ OK ] CustomAutogradTest.DepNoGrad (0 ms) 2022-11-23T02:17:38.8329598Z [ RUN ] CustomAutogradTest.Reentrant 2022-11-23T02:17:38.8330804Z [ OK ] CustomAutogradTest.Reentrant (0 ms) 2022-11-23T02:17:38.8331153Z [ RUN ] CustomAutogradTest.DeepReentrant 2022-11-23T02:17:39.2856051Z [ OK ] CustomAutogradTest.DeepReentrant (452 ms) 2022-11-23T02:17:39.2856498Z [ RUN ] CustomAutogradTest.ReentrantPriority 2022-11-23T02:17:39.2864198Z [ OK ] CustomAutogradTest.ReentrantPriority (0 ms) 2022-11-23T02:17:39.2864700Z [ RUN ] CustomAutogradTest.Hooks 2022-11-23T02:17:39.2914076Z [ OK ] CustomAutogradTest.Hooks (5 ms) 2022-11-23T02:17:39.2914427Z [ RUN ] CustomAutogradTest.HooksInplace 2022-11-23T02:17:39.2916558Z [ OK ] CustomAutogradTest.HooksInplace (0 ms) 2022-11-23T02:17:39.2916957Z [ RUN ] CustomAutogradTest.HooksInplaceWithRetainsGrad 2022-11-23T02:17:39.2919441Z [ OK ] CustomAutogradTest.HooksInplaceWithRetainsGrad (0 ms) 2022-11-23T02:17:39.2919874Z [ RUN ] CustomAutogradTest.HooksInplaceTwiceWithRetainsGrad 2022-11-23T02:17:39.2922437Z [ OK ] CustomAutogradTest.HooksInplaceTwiceWithRetainsGrad (0 ms) 2022-11-23T02:17:39.2922924Z [ RUN ] CustomAutogradTest.HookNone 2022-11-23T02:17:39.2923836Z [ OK ] CustomAutogradTest.HookNone (0 ms) 2022-11-23T02:17:39.2924191Z [ RUN ] CustomAutogradTest.BackwardWithInputs 2022-11-23T02:17:39.2925842Z [ OK ] CustomAutogradTest.BackwardWithInputs (0 ms) 2022-11-23T02:17:39.2926231Z [ RUN ] CustomAutogradTest.BackwardWithEmptyInputs 2022-11-23T02:17:39.2937981Z [ OK ] CustomAutogradTest.BackwardWithEmptyInputs (1 ms) 2022-11-23T02:17:39.2938389Z [ RUN ] CustomAutogradTest.BackwardWithNonLeafInputs 2022-11-23T02:17:39.2940686Z [ OK ] CustomAutogradTest.BackwardWithNonLeafInputs (0 ms) 2022-11-23T02:17:39.2941176Z [ RUN ] CustomAutogradTest.BackwardWithCreateGraphWarns 2022-11-23T02:17:39.2941975Z [ OK ] CustomAutogradTest.BackwardWithCreateGraphWarns (0 ms) 2022-11-23T02:17:39.2942413Z [----------] 33 tests from CustomAutogradTest (472 ms total) 2022-11-23T02:17:39.2942586Z 2022-11-23T02:17:39.2942806Z [----------] 13 tests from TestAutogradNotImplementedFallback 2022-11-23T02:17:39.2943222Z [ RUN ] TestAutogradNotImplementedFallback.RetSingleNonTensor 2022-11-23T02:17:39.2945676Z [ OK ] TestAutogradNotImplementedFallback.RetSingleNonTensor (0 ms) 2022-11-23T02:17:39.2946120Z [ RUN ] TestAutogradNotImplementedFallback.InplaceOp 2022-11-23T02:17:39.2991816Z [ OK ] TestAutogradNotImplementedFallback.InplaceOp (4 ms) 2022-11-23T02:17:39.2992249Z [ RUN ] TestAutogradNotImplementedFallback.DoubleInplaceOp 2022-11-23T02:17:39.3029597Z [ OK ] TestAutogradNotImplementedFallback.DoubleInplaceOp (3 ms) 2022-11-23T02:17:39.3030023Z [ RUN ] TestAutogradNotImplementedFallback.OptOp 2022-11-23T02:17:39.3033365Z [ OK ] TestAutogradNotImplementedFallback.OptOp (0 ms) 2022-11-23T02:17:39.3033829Z [ RUN ] TestAutogradNotImplementedFallback.OutOfPlaceAddition 2022-11-23T02:17:39.3067349Z [ OK ] TestAutogradNotImplementedFallback.OutOfPlaceAddition (3 ms) 2022-11-23T02:17:39.3067855Z [ RUN ] TestAutogradNotImplementedFallback.RetTupleNonTensor 2022-11-23T02:17:39.3116932Z [ OK ] TestAutogradNotImplementedFallback.RetTupleNonTensor (4 ms) 2022-11-23T02:17:39.3117396Z [ RUN ] TestAutogradNotImplementedFallback.ViewOp 2022-11-23T02:17:39.3182874Z [ OK ] TestAutogradNotImplementedFallback.ViewOp (6 ms) 2022-11-23T02:17:39.3183331Z [ RUN ] TestAutogradNotImplementedFallback.ViewOpWithExtraArg 2022-11-23T02:17:39.3217147Z [ OK ] TestAutogradNotImplementedFallback.ViewOpWithExtraArg (3 ms) 2022-11-23T02:17:39.3217665Z [ RUN ] TestAutogradNotImplementedFallback.RetTensorVectorView 2022-11-23T02:17:39.3219169Z [ OK ] TestAutogradNotImplementedFallback.RetTensorVectorView (0 ms) 2022-11-23T02:17:39.3219627Z [ RUN ] TestAutogradNotImplementedFallback.DoubleViewOP 2022-11-23T02:17:39.3238967Z [ OK ] TestAutogradNotImplementedFallback.DoubleViewOP (1 ms) 2022-11-23T02:17:39.3239638Z [ RUN ] TestAutogradNotImplementedFallback.NonFirstViewOP 2022-11-23T02:17:39.3269982Z [ OK ] TestAutogradNotImplementedFallback.NonFirstViewOP (3 ms) 2022-11-23T02:17:39.3270435Z [ RUN ] TestAutogradNotImplementedFallback.RetTensorVector 2022-11-23T02:17:39.3304158Z [ OK ] TestAutogradNotImplementedFallback.RetTensorVector (3 ms) 2022-11-23T02:17:39.3304609Z [ RUN ] TestAutogradNotImplementedFallback.TensorlistOp 2022-11-23T02:17:39.3344722Z [ OK ] TestAutogradNotImplementedFallback.TensorlistOp (3 ms) 2022-11-23T02:17:39.3345487Z [----------] 13 tests from TestAutogradNotImplementedFallback (40 ms total) 2022-11-23T02:17:39.3345681Z 2022-11-23T02:17:39.3345858Z [----------] 18 tests from AnyModuleTest 2022-11-23T02:17:39.3346165Z [ RUN ] AnyModuleTest.SimpleReturnType 2022-11-23T02:17:39.3346500Z [ OK ] AnyModuleTest.SimpleReturnType (0 ms) 2022-11-23T02:17:39.3346871Z [ RUN ] AnyModuleTest.SimpleReturnTypeAndSingleArgument 2022-11-23T02:17:39.3347300Z [ OK ] AnyModuleTest.SimpleReturnTypeAndSingleArgument (0 ms) 2022-11-23T02:17:39.3347725Z [ RUN ] AnyModuleTest.StringLiteralReturnTypeAndArgument 2022-11-23T02:17:39.3348161Z [ OK ] AnyModuleTest.StringLiteralReturnTypeAndArgument (0 ms) 2022-11-23T02:17:39.3348575Z [ RUN ] AnyModuleTest.StringReturnTypeWithConstArgument 2022-11-23T02:17:39.3349000Z [ OK ] AnyModuleTest.StringReturnTypeWithConstArgument (0 ms) 2022-11-23T02:17:39.3349597Z [ RUN ] AnyModuleTest.TensorReturnTypeAndStringArgumentsWithFunkyQualifications 2022-11-23T02:17:39.3350189Z [ OK ] AnyModuleTest.TensorReturnTypeAndStringArgumentsWithFunkyQualifications (0 ms) 2022-11-23T02:17:39.3350645Z [ RUN ] AnyModuleTest.WrongArgumentType 2022-11-23T02:17:39.3370218Z [ OK ] AnyModuleTest.WrongArgumentType (2 ms) 2022-11-23T02:17:39.3370575Z [ RUN ] AnyModuleTest.WrongNumberOfArguments 2022-11-23T02:17:39.3406219Z [ OK ] AnyModuleTest.WrongNumberOfArguments (3 ms) 2022-11-23T02:17:39.3406736Z [ RUN ] AnyModuleTest.PassingArgumentsToModuleWithDefaultArgumentsInForwardMethod 2022-11-23T02:17:39.3479336Z [ OK ] AnyModuleTest.PassingArgumentsToModuleWithDefaultArgumentsInForwardMethod (7 ms) 2022-11-23T02:17:39.3479915Z [ RUN ] AnyModuleTest.GetWithCorrectTypeSucceeds 2022-11-23T02:17:39.3480290Z [ OK ] AnyModuleTest.GetWithCorrectTypeSucceeds (0 ms) 2022-11-23T02:17:39.3480742Z [ RUN ] AnyModuleTest.GetWithIncorrectTypeThrows 2022-11-23T02:17:39.3489166Z [ OK ] AnyModuleTest.GetWithIncorrectTypeThrows (1 ms) 2022-11-23T02:17:39.3489848Z [ RUN ] AnyModuleTest.PtrWithBaseClassSucceeds 2022-11-23T02:17:39.3490321Z [ OK ] AnyModuleTest.PtrWithBaseClassSucceeds (0 ms) 2022-11-23T02:17:39.3490708Z [ RUN ] AnyModuleTest.PtrWithGoodDowncastSuccceeds 2022-11-23T02:17:39.3491106Z [ OK ] AnyModuleTest.PtrWithGoodDowncastSuccceeds (0 ms) 2022-11-23T02:17:39.3491477Z [ RUN ] AnyModuleTest.PtrWithBadDowncastThrows 2022-11-23T02:17:39.3500199Z [ OK ] AnyModuleTest.PtrWithBadDowncastThrows (1 ms) 2022-11-23T02:17:39.3500891Z [ RUN ] AnyModuleTest.DefaultStateIsEmpty 2022-11-23T02:17:39.3501233Z [ OK ] AnyModuleTest.DefaultStateIsEmpty (0 ms) 2022-11-23T02:17:39.3501620Z [ RUN ] AnyModuleTest.AllMethodsThrowForEmptyAnyModule 2022-11-23T02:17:39.3552533Z [ OK ] AnyModuleTest.AllMethodsThrowForEmptyAnyModule (5 ms) 2022-11-23T02:17:39.3553266Z [ RUN ] AnyModuleTest.CanMoveAssignDifferentModules 2022-11-23T02:17:39.3553865Z [ OK ] AnyModuleTest.CanMoveAssignDifferentModules (0 ms) 2022-11-23T02:17:39.3554632Z [ RUN ] AnyModuleTest.ConstructsFromModuleHolder 2022-11-23T02:17:39.3555138Z [ OK ] AnyModuleTest.ConstructsFromModuleHolder (0 ms) 2022-11-23T02:17:39.3555580Z [ RUN ] AnyModuleTest.ConvertsVariableToTensorCorrectly 2022-11-23T02:17:39.3555993Z [ OK ] AnyModuleTest.ConvertsVariableToTensorCorrectly (0 ms) 2022-11-23T02:17:39.3556384Z [----------] 18 tests from AnyModuleTest (20 ms total) 2022-11-23T02:17:39.3556541Z 2022-11-23T02:17:39.3556688Z [----------] 12 tests from AnyValueTest 2022-11-23T02:17:39.3557034Z [ RUN ] AnyValueTest.CorrectlyAccessesIntWhenCorrectType 2022-11-23T02:17:39.3557549Z [ OK ] AnyValueTest.CorrectlyAccessesIntWhenCorrectType (0 ms) 2022-11-23T02:17:39.3558016Z [ RUN ] AnyValueTest.CorrectlyAccessesStringLiteralWhenCorrectType 2022-11-23T02:17:39.3558521Z [ OK ] AnyValueTest.CorrectlyAccessesStringLiteralWhenCorrectType (0 ms) 2022-11-23T02:17:39.3558984Z [ RUN ] AnyValueTest.CorrectlyAccessesStringWhenCorrectType 2022-11-23T02:17:39.3559440Z [ OK ] AnyValueTest.CorrectlyAccessesStringWhenCorrectType (0 ms) 2022-11-23T02:17:39.3559902Z [ RUN ] AnyValueTest.CorrectlyAccessesPointersWhenCorrectType 2022-11-23T02:17:39.3560356Z [ OK ] AnyValueTest.CorrectlyAccessesPointersWhenCorrectType (0 ms) 2022-11-23T02:17:39.3560827Z [ RUN ] AnyValueTest.CorrectlyAccessesReferencesWhenCorrectType 2022-11-23T02:17:39.3561308Z [ OK ] AnyValueTest.CorrectlyAccessesReferencesWhenCorrectType (0 ms) 2022-11-23T02:17:39.3561768Z [ RUN ] AnyValueTest.TryGetReturnsNullptrForTheWrongType 2022-11-23T02:17:39.3562195Z [ OK ] AnyValueTest.TryGetReturnsNullptrForTheWrongType (0 ms) 2022-11-23T02:17:39.3562593Z [ RUN ] AnyValueTest.GetThrowsForTheWrongType 2022-11-23T02:17:39.3577595Z [ OK ] AnyValueTest.GetThrowsForTheWrongType (2 ms) 2022-11-23T02:17:39.3578335Z [ RUN ] AnyValueTest.MoveConstructionIsAllowed 2022-11-23T02:17:39.3578902Z [ OK ] AnyValueTest.MoveConstructionIsAllowed (0 ms) 2022-11-23T02:17:39.3579275Z [ RUN ] AnyValueTest.MoveAssignmentIsAllowed 2022-11-23T02:17:39.3579641Z [ OK ] AnyValueTest.MoveAssignmentIsAllowed (0 ms) 2022-11-23T02:17:39.3579986Z [ RUN ] AnyValueTest.TypeInfoIsCorrectForInt 2022-11-23T02:17:39.3580351Z [ OK ] AnyValueTest.TypeInfoIsCorrectForInt (0 ms) 2022-11-23T02:17:39.3580742Z [ RUN ] AnyValueTest.TypeInfoIsCorrectForStringLiteral 2022-11-23T02:17:39.3581160Z [ OK ] AnyValueTest.TypeInfoIsCorrectForStringLiteral (0 ms) 2022-11-23T02:17:39.3581558Z [ RUN ] AnyValueTest.TypeInfoIsCorrectForString 2022-11-23T02:17:39.3582021Z [ OK ] AnyValueTest.TypeInfoIsCorrectForString (0 ms) 2022-11-23T02:17:39.3582442Z [----------] 12 tests from AnyValueTest (2 ms total) 2022-11-23T02:17:39.3582595Z 2022-11-23T02:17:39.3582739Z [----------] 50 tests from DataTest 2022-11-23T02:17:39.3583043Z [ RUN ] DataTest.DatasetCallsGetCorrectly 2022-11-23T02:17:39.3594814Z [ OK ] DataTest.DatasetCallsGetCorrectly (1 ms) 2022-11-23T02:17:39.3595190Z [ RUN ] DataTest.TransformCallsGetApplyCorrectly 2022-11-23T02:17:39.3611661Z [ OK ] DataTest.TransformCallsGetApplyCorrectly (1 ms) 2022-11-23T02:17:39.3612081Z [ RUN ] DataTest.ChunkDataSetWithInvalidInitParameter 2022-11-23T02:17:39.3684855Z [ OK ] DataTest.ChunkDataSetWithInvalidInitParameter (7 ms) 2022-11-23T02:17:39.3685571Z [ RUN ] DataTest.InfiniteStreamDataset 2022-11-23T02:17:39.3686006Z [ OK ] DataTest.InfiniteStreamDataset (0 ms) 2022-11-23T02:17:39.3686332Z [ RUN ] DataTest.NoSequencerIsIdentity 2022-11-23T02:17:39.3686815Z [ OK ] DataTest.NoSequencerIsIdentity (0 ms) 2022-11-23T02:17:39.3687152Z [ RUN ] DataTest.OrderedSequencerIsSetUpWell 2022-11-23T02:17:39.3687515Z [ OK ] DataTest.OrderedSequencerIsSetUpWell (0 ms) 2022-11-23T02:17:39.3687882Z [ RUN ] DataTest.OrderedSequencerReOrdersValues 2022-11-23T02:17:39.3688245Z [ OK ] DataTest.OrderedSequencerReOrdersValues (0 ms) 2022-11-23T02:17:39.3688629Z [ RUN ] DataTest.BatchLambdaAppliesFunctionToBatch 2022-11-23T02:17:39.3689028Z [ OK ] DataTest.BatchLambdaAppliesFunctionToBatch (0 ms) 2022-11-23T02:17:39.3689398Z [ RUN ] DataTest.LambdaAppliesFunctionToExample 2022-11-23T02:17:39.3689839Z [ OK ] DataTest.LambdaAppliesFunctionToExample (0 ms) 2022-11-23T02:17:39.3690180Z [ RUN ] DataTest.CollateReducesBatch 2022-11-23T02:17:39.3690500Z [ OK ] DataTest.CollateReducesBatch (0 ms) 2022-11-23T02:17:39.3690805Z [ RUN ] DataTest.CollationReducesBatch 2022-11-23T02:17:39.3691134Z [ OK ] DataTest.CollationReducesBatch (0 ms) 2022-11-23T02:17:39.3691512Z [ RUN ] DataTest.SequentialSamplerReturnsIndicesInOrder 2022-11-23T02:17:39.3691927Z [ OK ] DataTest.SequentialSamplerReturnsIndicesInOrder (0 ms) 2022-11-23T02:17:39.3692378Z [ RUN ] DataTest.SequentialSamplerReturnsLessValuesForLastBatch 2022-11-23T02:17:39.3692862Z [ OK ] DataTest.SequentialSamplerReturnsLessValuesForLastBatch (0 ms) 2022-11-23T02:17:39.3693263Z [ RUN ] DataTest.SequentialSamplerResetsWell 2022-11-23T02:17:39.3693625Z [ OK ] DataTest.SequentialSamplerResetsWell (0 ms) 2022-11-23T02:17:39.3694020Z [ RUN ] DataTest.SequentialSamplerResetsWithNewSizeWell 2022-11-23T02:17:39.3694450Z [ OK ] DataTest.SequentialSamplerResetsWithNewSizeWell (0 ms) 2022-11-23T02:17:39.3694834Z [ RUN ] DataTest.CanSaveAndLoadSequentialSampler 2022-11-23T02:17:39.3842398Z [ OK ] DataTest.CanSaveAndLoadSequentialSampler (15 ms) 2022-11-23T02:17:39.3843017Z [ RUN ] DataTest.RandomSamplerReturnsIndicesInCorrectRange 2022-11-23T02:17:39.3843492Z [ OK ] DataTest.RandomSamplerReturnsIndicesInCorrectRange (0 ms) 2022-11-23T02:17:39.3843933Z [ RUN ] DataTest.RandomSamplerReturnsLessValuesForLastBatch 2022-11-23T02:17:39.3844396Z [ OK ] DataTest.RandomSamplerReturnsLessValuesForLastBatch (0 ms) 2022-11-23T02:17:39.3844781Z [ RUN ] DataTest.RandomSamplerResetsWell 2022-11-23T02:17:39.3845115Z [ OK ] DataTest.RandomSamplerResetsWell (0 ms) 2022-11-23T02:17:39.3845482Z [ RUN ] DataTest.RandomSamplerResetsWithNewSizeWell 2022-11-23T02:17:39.3845883Z [ OK ] DataTest.RandomSamplerResetsWithNewSizeWell (0 ms) 2022-11-23T02:17:39.3846333Z [ RUN ] DataTest.SavingAndLoadingRandomSamplerYieldsSameSequence 2022-11-23T02:17:39.3847428Z [ OK ] DataTest.SavingAndLoadingRandomSamplerYieldsSameSequence (0 ms) 2022-11-23T02:17:39.3848298Z [ RUN ] DataTest.StreamSamplerReturnsTheBatchSizeAndThenRemainder 2022-11-23T02:17:39.3848908Z [ OK ] DataTest.StreamSamplerReturnsTheBatchSizeAndThenRemainder (0 ms) 2022-11-23T02:17:39.3849310Z [ RUN ] DataTest.StreamSamplerResetsWell 2022-11-23T02:17:39.3849914Z [ OK ] DataTest.StreamSamplerResetsWell (0 ms) 2022-11-23T02:17:39.3850443Z [ RUN ] DataTest.StreamSamplerResetsWithNewSizeWell 2022-11-23T02:17:39.3850958Z [ OK ] DataTest.StreamSamplerResetsWithNewSizeWell (0 ms) 2022-11-23T02:17:39.3851503Z [ RUN ] DataTest.TensorDatasetConstructsFromSingleTensor 2022-11-23T02:17:39.3852231Z [ OK ] DataTest.TensorDatasetConstructsFromSingleTensor (0 ms) 2022-11-23T02:17:39.3852707Z [ RUN ] DataTest.TensorDatasetConstructsFromInitializerListOfTensors 2022-11-23T02:17:39.3853377Z [ OK ] DataTest.TensorDatasetConstructsFromInitializerListOfTensors (0 ms) 2022-11-23T02:17:39.3853903Z [ RUN ] DataTest.StackTransformWorksForExample 2022-11-23T02:17:39.3854674Z [ OK ] DataTest.StackTransformWorksForExample (0 ms) 2022-11-23T02:17:39.3855232Z [ RUN ] DataTest.StackTransformWorksForTensorExample 2022-11-23T02:17:39.3855921Z [ OK ] DataTest.StackTransformWorksForTensorExample (0 ms) 2022-11-23T02:17:39.3856593Z [ RUN ] DataTest.TensorTransformWorksForAnyTargetType 2022-11-23T02:17:39.3857426Z [ OK ] DataTest.TensorTransformWorksForAnyTargetType (0 ms) 2022-11-23T02:17:39.3858076Z [ RUN ] DataTest.TensorLambdaWorksforAnyTargetType 2022-11-23T02:17:39.3858969Z [ OK ] DataTest.TensorLambdaWorksforAnyTargetType (0 ms) 2022-11-23T02:17:39.3859317Z [ RUN ] DataTest.NormalizeTransform 2022-11-23T02:17:39.3864832Z [ OK ] DataTest.NormalizeTransform (0 ms) 2022-11-23T02:17:39.3865238Z [ RUN ] DataTest.MapDoesNotCopy 2022-11-23T02:17:39.3865566Z [ OK ] DataTest.MapDoesNotCopy (0 ms) 2022-11-23T02:17:39.3865953Z [ RUN ] DataTest.QueuePushAndPopFromSameThread 2022-11-23T02:17:39.3866352Z [ OK ] DataTest.QueuePushAndPopFromSameThread (0 ms) 2022-11-23T02:17:39.3866810Z [ RUN ] DataTest.QueuePopWithTimeoutThrowsUponTimeout 2022-11-23T02:17:39.3988462Z [ OK ] DataTest.QueuePopWithTimeoutThrowsUponTimeout (12 ms) 2022-11-23T02:17:39.3988959Z [ RUN ] DataTest.QueuePushAndPopFromDifferentThreads 2022-11-23T02:17:39.4191537Z [ OK ] DataTest.QueuePushAndPopFromDifferentThreads (20 ms) 2022-11-23T02:17:39.4191947Z [ RUN ] DataTest.QueueClearEmptiesTheQueue 2022-11-23T02:17:39.4213454Z [ OK ] DataTest.QueueClearEmptiesTheQueue (2 ms) 2022-11-23T02:17:39.4213910Z [ RUN ] DataTest.DataShuttleCanPushAndPopJob 2022-11-23T02:17:39.4214351Z [ OK ] DataTest.DataShuttleCanPushAndPopJob (0 ms) 2022-11-23T02:17:39.4214747Z [ RUN ] DataTest.DataShuttleCanPushAndPopResult 2022-11-23T02:17:39.4215176Z [ OK ] DataTest.DataShuttleCanPushAndPopResult (0 ms) 2022-11-23T02:17:39.4215706Z [ RUN ] DataTest.DataShuttlePopResultReturnsNulloptWhenNoJobsInFlight 2022-11-23T02:17:39.4216249Z [ OK ] DataTest.DataShuttlePopResultReturnsNulloptWhenNoJobsInFlight (0 ms) 2022-11-23T02:17:39.4216806Z [ RUN ] DataTest.DataShuttleDrainMeansPopResultReturnsNullopt 2022-11-23T02:17:39.4217353Z [ OK ] DataTest.DataShuttleDrainMeansPopResultReturnsNullopt (0 ms) 2022-11-23T02:17:39.4217770Z [ RUN ] DataTest.DataShuttlePopResultTimesOut 2022-11-23T02:17:39.4325815Z [ OK ] DataTest.DataShuttlePopResultTimesOut (11 ms) 2022-11-23T02:17:39.4326212Z [ RUN ] DataTest.SharedBatchDatasetReallyIsShared 2022-11-23T02:17:39.4337079Z [ OK ] DataTest.SharedBatchDatasetReallyIsShared (1 ms) 2022-11-23T02:17:39.4337611Z [ RUN ] DataTest.SharedBatchDatasetDoesNotIncurCopyWhenPassedDatasetObject 2022-11-23T02:17:39.4338184Z [ OK ] DataTest.SharedBatchDatasetDoesNotIncurCopyWhenPassedDatasetObject (0 ms) 2022-11-23T02:17:39.4338650Z [ RUN ] DataTest.CanUseCustomTypeAsIndexType 2022-11-23T02:17:39.4339183Z [ OK ] DataTest.CanUseCustomTypeAsIndexType (0 ms) 2022-11-23T02:17:39.4339662Z [ RUN ] DataTest.DistributedRandomSamplerSingleReplicaProduceCorrectSamples 2022-11-23T02:17:39.4348385Z [ OK ] DataTest.DistributedRandomSamplerSingleReplicaProduceCorrectSamples (1 ms) 2022-11-23T02:17:39.4349121Z [ RUN ] DataTest.DistributedRandomSamplerMultiReplicaProduceCorrectSamples 2022-11-23T02:17:39.4350052Z [ OK ] DataTest.DistributedRandomSamplerMultiReplicaProduceCorrectSamples (0 ms) 2022-11-23T02:17:39.4350559Z [ RUN ] DataTest.CanSaveAndLoadDistributedRandomSampler 2022-11-23T02:17:39.4355746Z [ OK ] DataTest.CanSaveAndLoadDistributedRandomSampler (0 ms) 2022-11-23T02:17:39.4356345Z [ RUN ] DataTest.DistributedSequentialSamplerSingleReplicaProduceCorrectSamples 2022-11-23T02:17:39.4357004Z [ OK ] DataTest.DistributedSequentialSamplerSingleReplicaProduceCorrectSamples (0 ms) 2022-11-23T02:17:39.4357853Z [ RUN ] DataTest.DistributedSequentialSamplerMultiReplicaProduceCorrectSamples 2022-11-23T02:17:39.4358815Z [ OK ] DataTest.DistributedSequentialSamplerMultiReplicaProduceCorrectSamples (0 ms) 2022-11-23T02:17:39.4359731Z [ RUN ] DataTest.CanSaveAndLoadDistributedSequentialSampler 2022-11-23T02:17:39.4360211Z [ OK ] DataTest.CanSaveAndLoadDistributedSequentialSampler (0 ms) 2022-11-23T02:17:39.4360594Z [----------] 50 tests from DataTest (78 ms total) 2022-11-23T02:17:39.4360744Z 2022-11-23T02:17:39.4360903Z [----------] 37 tests from DataLoaderTest 2022-11-23T02:17:39.4361282Z [ RUN ] DataLoaderTest.DataLoaderOptionsDefaultAsExpected 2022-11-23T02:17:39.4361732Z [ OK ] DataLoaderTest.DataLoaderOptionsDefaultAsExpected (0 ms) 2022-11-23T02:17:39.4362178Z [ RUN ] DataLoaderTest.DataLoaderOptionsCoalesceOptionalValues 2022-11-23T02:17:39.4362655Z [ OK ] DataLoaderTest.DataLoaderOptionsCoalesceOptionalValues (0 ms) 2022-11-23T02:17:39.4363100Z [ RUN ] DataLoaderTest.MakeDataLoaderDefaultsAsExpected 2022-11-23T02:17:39.4363520Z [ OK ] DataLoaderTest.MakeDataLoaderDefaultsAsExpected (0 ms) 2022-11-23T02:17:39.4364067Z [ RUN ] DataLoaderTest.MakeDataLoaderThrowsWhenConstructingSamplerWithUnsizedDataset 2022-11-23T02:17:39.4370913Z [ OK ] DataLoaderTest.MakeDataLoaderThrowsWhenConstructingSamplerWithUnsizedDataset (1 ms) 2022-11-23T02:17:39.4371815Z [ RUN ] DataLoaderTest.IteratorsCompareEqualToThemselves 2022-11-23T02:17:39.4372612Z [ OK ] DataLoaderTest.IteratorsCompareEqualToThemselves (0 ms) 2022-11-23T02:17:39.4373431Z [ RUN ] DataLoaderTest.ValidIteratorsCompareUnequalToEachOther 2022-11-23T02:17:39.4374126Z [ OK ] DataLoaderTest.ValidIteratorsCompareUnequalToEachOther (0 ms) 2022-11-23T02:17:39.4374612Z [ RUN ] DataLoaderTest.SentinelIteratorsCompareEqualToEachOther 2022-11-23T02:17:39.4375102Z [ OK ] DataLoaderTest.SentinelIteratorsCompareEqualToEachOther (0 ms) 2022-11-23T02:17:39.4375608Z [ RUN ] DataLoaderTest.IteratorsCompareEqualToSentinelWhenExhausted 2022-11-23T02:17:39.4376124Z [ OK ] DataLoaderTest.IteratorsCompareEqualToSentinelWhenExhausted (0 ms) 2022-11-23T02:17:39.4376532Z [ RUN ] DataLoaderTest.IteratorsShareState 2022-11-23T02:17:39.4376887Z [ OK ] DataLoaderTest.IteratorsShareState (0 ms) 2022-11-23T02:17:39.4377288Z [ RUN ] DataLoaderTest.CanDereferenceIteratorMultipleTimes 2022-11-23T02:17:39.4377739Z [ OK ] DataLoaderTest.CanDereferenceIteratorMultipleTimes (0 ms) 2022-11-23T02:17:39.4378137Z [ RUN ] DataLoaderTest.CanUseIteratorAlgorithms 2022-11-23T02:17:39.4378518Z [ OK ] DataLoaderTest.CanUseIteratorAlgorithms (0 ms) 2022-11-23T02:17:39.4379211Z [ RUN ] DataLoaderTest.CallingBeginWhileOtherIteratorIsInFlightThrows 2022-11-23T02:17:39.4385442Z [ OK ] DataLoaderTest.CallingBeginWhileOtherIteratorIsInFlightThrows (1 ms) 2022-11-23T02:17:39.4385974Z [ RUN ] DataLoaderTest.IncrementingExhaustedValidIteratorThrows 2022-11-23T02:17:39.4397210Z [ OK ] DataLoaderTest.IncrementingExhaustedValidIteratorThrows (1 ms) 2022-11-23T02:17:39.4397842Z [ RUN ] DataLoaderTest.DereferencingExhaustedValidIteratorThrows 2022-11-23T02:17:39.4408491Z [ OK ] DataLoaderTest.DereferencingExhaustedValidIteratorThrows (1 ms) 2022-11-23T02:17:39.4408965Z [ RUN ] DataLoaderTest.IncrementingSentinelIteratorThrows 2022-11-23T02:17:39.4419896Z [ OK ] DataLoaderTest.IncrementingSentinelIteratorThrows (1 ms) 2022-11-23T02:17:39.4420348Z [ RUN ] DataLoaderTest.DereferencingSentinelIteratorThrows 2022-11-23T02:17:39.4431608Z [ OK ] DataLoaderTest.DereferencingSentinelIteratorThrows (1 ms) 2022-11-23T02:17:39.4432073Z [ RUN ] DataLoaderTest.YieldsCorrectBatchSize 2022-11-23T02:17:39.4432633Z [ OK ] DataLoaderTest.YieldsCorrectBatchSize (0 ms) 2022-11-23T02:17:39.4433152Z [ RUN ] DataLoaderTest.ReturnsLastBatchWhenSmallerThanBatchSizeWhenDropLastIsFalse 2022-11-23T02:17:39.4433779Z [ OK ] DataLoaderTest.ReturnsLastBatchWhenSmallerThanBatchSizeWhenDropLastIsFalse (0 ms) 2022-11-23T02:17:39.4434432Z [ RUN ] DataLoaderTest.DoesNotReturnLastBatchWhenSmallerThanBatchSizeWhenDropLastIsTrue 2022-11-23T02:17:39.4435106Z [ OK ] DataLoaderTest.DoesNotReturnLastBatchWhenSmallerThanBatchSizeWhenDropLastIsTrue (0 ms) 2022-11-23T02:17:39.4435579Z [ RUN ] DataLoaderTest.RespectsTimeout 2022-11-23T02:17:39.4548366Z [ OK ] DataLoaderTest.RespectsTimeout (11 ms) 2022-11-23T02:17:39.4548939Z [ RUN ] DataLoaderTest.EnforcesOrderingAmongThreadsWhenConfigured 2022-11-23T02:17:39.4557036Z [ OK ] DataLoaderTest.EnforcesOrderingAmongThreadsWhenConfigured (0 ms) 2022-11-23T02:17:39.4557627Z [ RUN ] DataLoaderTest.Reset 2022-11-23T02:17:39.4557918Z [ OK ] DataLoaderTest.Reset (0 ms) 2022-11-23T02:17:39.4558312Z [ RUN ] DataLoaderTest.TestExceptionsArePropagatedFromWorkers 2022-11-23T02:17:39.4560628Z [ OK ] DataLoaderTest.TestExceptionsArePropagatedFromWorkers (0 ms) 2022-11-23T02:17:39.4561416Z [ RUN ] DataLoaderTest.StatefulDatasetWithNoWorkers 2022-11-23T02:17:39.4562155Z [ OK ] DataLoaderTest.StatefulDatasetWithNoWorkers (0 ms) 2022-11-23T02:17:39.4562823Z [ RUN ] DataLoaderTest.StatefulDatasetWithManyWorkers 2022-11-23T02:17:39.4579013Z [ OK ] DataLoaderTest.StatefulDatasetWithManyWorkers (1 ms) 2022-11-23T02:17:39.4579726Z [ RUN ] DataLoaderTest.StatefulDatasetWithMap 2022-11-23T02:17:39.4580393Z [ OK ] DataLoaderTest.StatefulDatasetWithMap (0 ms) 2022-11-23T02:17:39.4580878Z [ RUN ] DataLoaderTest.StatefulDatasetWithCollate 2022-11-23T02:17:39.4582494Z [ OK ] DataLoaderTest.StatefulDatasetWithCollate (0 ms) 2022-11-23T02:17:39.4583098Z [ RUN ] DataLoaderTest.ChunkDataSetGetBatch 2022-11-23T02:17:39.4638225Z [ OK ] DataLoaderTest.ChunkDataSetGetBatch (5 ms) 2022-11-23T02:17:39.4638656Z [ RUN ] DataLoaderTest.ChunkDataSetWithBatchSizeMismatch 2022-11-23T02:17:39.4651896Z [ OK ] DataLoaderTest.ChunkDataSetWithBatchSizeMismatch (1 ms) 2022-11-23T02:17:39.4652649Z [ RUN ] DataLoaderTest.ChunkDataSetWithEmptyBatch 2022-11-23T02:17:39.4653067Z [ OK ] DataLoaderTest.ChunkDataSetWithEmptyBatch (0 ms) 2022-11-23T02:17:39.4653492Z [ RUN ] DataLoaderTest.ChunkDataSetGetBatchWithUnevenBatchSize 2022-11-23T02:17:39.4657011Z [ OK ] DataLoaderTest.ChunkDataSetGetBatchWithUnevenBatchSize (0 ms) 2022-11-23T02:17:39.4657908Z [ RUN ] DataLoaderTest.CanAccessChunkSamplerWithChunkDataSet 2022-11-23T02:17:39.4658527Z [ OK ] DataLoaderTest.CanAccessChunkSamplerWithChunkDataSet (0 ms) 2022-11-23T02:17:39.4659401Z [ RUN ] DataLoaderTest.ChunkDatasetDoesNotHang 2022-11-23T02:17:39.4659792Z [ OK ] DataLoaderTest.ChunkDatasetDoesNotHang (0 ms) 2022-11-23T02:17:39.4660286Z [ RUN ] DataLoaderTest.ChunkDatasetSave 2022-11-23T02:17:39.4823398Z [ OK ] DataLoaderTest.ChunkDatasetSave (16 ms) 2022-11-23T02:17:39.4824055Z [ RUN ] DataLoaderTest.ChunkDatasetLoad 2022-11-23T02:17:39.4827262Z [ OK ] DataLoaderTest.ChunkDatasetLoad (0 ms) 2022-11-23T02:17:39.4827789Z [ RUN ] DataLoaderTest.ChunkDatasetCrossChunkShuffle 2022-11-23T02:17:39.4835362Z [ OK ] DataLoaderTest.ChunkDatasetCrossChunkShuffle (0 ms) 2022-11-23T02:17:39.4835775Z [ RUN ] DataLoaderTest.CustomPreprocessPolicy 2022-11-23T02:17:39.4838273Z [ OK ] DataLoaderTest.CustomPreprocessPolicy (0 ms) 2022-11-23T02:17:39.4839112Z [----------] 37 tests from DataLoaderTest (47 ms total) 2022-11-23T02:17:39.4839357Z 2022-11-23T02:17:39.4839617Z [----------] 1 test from EnumTest 2022-11-23T02:17:39.4840112Z [ RUN ] EnumTest.AllEnums 2022-11-23T02:17:39.4840440Z [ OK ] EnumTest.AllEnums (0 ms) 2022-11-23T02:17:39.4840726Z [----------] 1 test from EnumTest (0 ms total) 2022-11-23T02:17:39.4840872Z 2022-11-23T02:17:39.4841039Z [----------] 6 tests from ExpandingArrayTest 2022-11-23T02:17:39.4841416Z [ RUN ] ExpandingArrayTest.CanConstructFromInitializerList 2022-11-23T02:17:39.4841882Z [ OK ] ExpandingArrayTest.CanConstructFromInitializerList (0 ms) 2022-11-23T02:17:39.4842286Z [ RUN ] ExpandingArrayTest.CanConstructFromVector 2022-11-23T02:17:39.4842679Z [ OK ] ExpandingArrayTest.CanConstructFromVector (0 ms) 2022-11-23T02:17:39.4843070Z [ RUN ] ExpandingArrayTest.CanConstructFromArray 2022-11-23T02:17:39.4843442Z [ OK ] ExpandingArrayTest.CanConstructFromArray (0 ms) 2022-11-23T02:17:39.4843843Z [ RUN ] ExpandingArrayTest.CanConstructFromSingleValue 2022-11-23T02:17:39.4844275Z [ OK ] ExpandingArrayTest.CanConstructFromSingleValue (0 ms) 2022-11-23T02:17:39.4844856Z [ RUN ] ExpandingArrayTest.ThrowsWhenConstructedWithIncorrectNumberOfArgumentsInInitializerList 2022-11-23T02:17:39.4850304Z [ OK ] ExpandingArrayTest.ThrowsWhenConstructedWithIncorrectNumberOfArgumentsInInitializerList (1 ms) 2022-11-23T02:17:39.4851059Z [ RUN ] ExpandingArrayTest.ThrowsWhenConstructedWithIncorrectNumberOfArgumentsInVector 2022-11-23T02:17:39.4860551Z [ OK ] ExpandingArrayTest.ThrowsWhenConstructedWithIncorrectNumberOfArgumentsInVector (1 ms) 2022-11-23T02:17:39.4861182Z [----------] 6 tests from ExpandingArrayTest (2 ms total) 2022-11-23T02:17:39.4861366Z 2022-11-23T02:17:39.4861511Z [----------] 10 tests from FFTTest 2022-11-23T02:17:39.4861761Z [ RUN ] FFTTest.fft 2022-11-23T02:17:39.4888954Z [ OK ] FFTTest.fft (2 ms) 2022-11-23T02:17:39.4889431Z [ RUN ] FFTTest.fft_real 2022-11-23T02:17:39.4890862Z [ OK ] FFTTest.fft_real (0 ms) 2022-11-23T02:17:39.4891359Z [ RUN ] FFTTest.fft_pad 2022-11-23T02:17:39.4908172Z [ OK ] FFTTest.fft_pad (1 ms) 2022-11-23T02:17:39.4908681Z [ RUN ] FFTTest.fft_norm 2022-11-23T02:17:39.4910421Z [ OK ] FFTTest.fft_norm (0 ms) 2022-11-23T02:17:39.4910911Z [ RUN ] FFTTest.ifft 2022-11-23T02:17:39.4913688Z [ OK ] FFTTest.ifft (0 ms) 2022-11-23T02:17:39.4914180Z [ RUN ] FFTTest.fft_ifft 2022-11-23T02:17:39.4916168Z [ OK ] FFTTest.fft_ifft (0 ms) 2022-11-23T02:17:39.4916415Z [ RUN ] FFTTest.rfft 2022-11-23T02:17:39.4919814Z [ OK ] FFTTest.rfft (0 ms) 2022-11-23T02:17:39.4920139Z [ RUN ] FFTTest.rfft_irfft 2022-11-23T02:17:39.4921142Z [ OK ] FFTTest.rfft_irfft (0 ms) 2022-11-23T02:17:39.4921391Z [ RUN ] FFTTest.ihfft 2022-11-23T02:17:39.4925862Z [ OK ] FFTTest.ihfft (0 ms) 2022-11-23T02:17:39.4926247Z [ RUN ] FFTTest.hfft_ihfft 2022-11-23T02:17:39.4938484Z [ OK ] FFTTest.hfft_ihfft (1 ms) 2022-11-23T02:17:39.4938991Z [----------] 10 tests from FFTTest (7 ms total) 2022-11-23T02:17:39.4939153Z 2022-11-23T02:17:39.4939321Z [----------] 132 tests from FunctionalTest 2022-11-23T02:17:39.4939595Z [ RUN ] FunctionalTest.Conv1d 2022-11-23T02:17:39.4965042Z [ OK ] FunctionalTest.Conv1d (2 ms) 2022-11-23T02:17:39.4965447Z [ RUN ] FunctionalTest.Conv2dEven 2022-11-23T02:17:39.4970820Z [ OK ] FunctionalTest.Conv2dEven (0 ms) 2022-11-23T02:17:39.4971223Z [ RUN ] FunctionalTest.Conv2dUneven 2022-11-23T02:17:39.4973362Z [ OK ] FunctionalTest.Conv2dUneven (0 ms) 2022-11-23T02:17:39.4973703Z [ RUN ] FunctionalTest.Conv3d 2022-11-23T02:17:39.4977872Z [ OK ] FunctionalTest.Conv3d (0 ms) 2022-11-23T02:17:39.4978207Z [ RUN ] FunctionalTest.MaxPool1d 2022-11-23T02:17:39.5006777Z [ OK ] FunctionalTest.MaxPool1d (2 ms) 2022-11-23T02:17:39.5007158Z [ RUN ] FunctionalTest.MaxPool2d 2022-11-23T02:17:39.5007770Z [ OK ] FunctionalTest.MaxPool2d (0 ms) 2022-11-23T02:17:39.5008095Z [ RUN ] FunctionalTest.MaxPool2dBackward 2022-11-23T02:17:39.5010442Z [ OK ] FunctionalTest.MaxPool2dBackward (0 ms) 2022-11-23T02:17:39.5010867Z [ RUN ] FunctionalTest.MaxPool3d 2022-11-23T02:17:39.5011294Z [ OK ] FunctionalTest.MaxPool3d (0 ms) 2022-11-23T02:17:39.5011651Z [ RUN ] FunctionalTest.AvgPool1d 2022-11-23T02:17:39.5012394Z [ OK ] FunctionalTest.AvgPool1d (0 ms) 2022-11-23T02:17:39.5012796Z [ RUN ] FunctionalTest.AvgPool2d 2022-11-23T02:17:39.5013172Z [ OK ] FunctionalTest.AvgPool2d (0 ms) 2022-11-23T02:17:39.5013519Z [ RUN ] FunctionalTest.AvgPool3d 2022-11-23T02:17:39.5014483Z [ OK ] FunctionalTest.AvgPool3d (0 ms) 2022-11-23T02:17:39.5014812Z [ RUN ] FunctionalTest.FractionalMaxPool2d 2022-11-23T02:17:39.5020008Z [ OK ] FunctionalTest.FractionalMaxPool2d (0 ms) 2022-11-23T02:17:39.5020368Z [ RUN ] FunctionalTest.FractionalMaxPool3d 2022-11-23T02:17:39.5022908Z [ OK ] FunctionalTest.FractionalMaxPool3d (0 ms) 2022-11-23T02:17:39.5023294Z [ RUN ] FunctionalTest.LPPool1d 2022-11-23T02:17:39.5025057Z [ OK ] FunctionalTest.LPPool1d (0 ms) 2022-11-23T02:17:39.5025388Z [ RUN ] FunctionalTest.LPPool2d 2022-11-23T02:17:39.5026958Z [ OK ] FunctionalTest.LPPool2d (0 ms) 2022-11-23T02:17:39.5027323Z [ RUN ] FunctionalTest.CosineSimilarity 2022-11-23T02:17:39.5029229Z [ OK ] FunctionalTest.CosineSimilarity (0 ms) 2022-11-23T02:17:39.5029636Z [ RUN ] FunctionalTest.SmoothL1LossDefaultOptions 2022-11-23T02:17:39.5032031Z [ OK ] FunctionalTest.SmoothL1LossDefaultOptions (0 ms) 2022-11-23T02:17:39.5032446Z [ RUN ] FunctionalTest.SmoothL1LossBeta 2022-11-23T02:17:39.5034127Z [ OK ] FunctionalTest.SmoothL1LossBeta (0 ms) 2022-11-23T02:17:39.5034514Z [ RUN ] FunctionalTest.SmoothL1LossNoReduction 2022-11-23T02:17:39.5036105Z [ OK ] FunctionalTest.SmoothL1LossNoReduction (0 ms) 2022-11-23T02:17:39.5036530Z [ RUN ] FunctionalTest.HuberLossDefaultOptions 2022-11-23T02:17:39.5038286Z [ OK ] FunctionalTest.HuberLossDefaultOptions (0 ms) 2022-11-23T02:17:39.5038687Z [ RUN ] FunctionalTest.HuberLossDelta 2022-11-23T02:17:39.5040073Z [ OK ] FunctionalTest.HuberLossDelta (0 ms) 2022-11-23T02:17:39.5040462Z [ RUN ] FunctionalTest.HuberLossNoReduction 2022-11-23T02:17:39.5041864Z [ OK ] FunctionalTest.HuberLossNoReduction (0 ms) 2022-11-23T02:17:39.5042410Z [ RUN ] FunctionalTest.SoftMarginLossDefaultOptions 2022-11-23T02:17:39.5045078Z [ OK ] FunctionalTest.SoftMarginLossDefaultOptions (0 ms) 2022-11-23T02:17:39.5045555Z [ RUN ] FunctionalTest.MultiLabelSoftMarginLossDefaultOptions 2022-11-23T02:17:39.5050010Z [ OK ] FunctionalTest.MultiLabelSoftMarginLossDefaultOptions (0 ms) 2022-11-23T02:17:39.5050484Z [ RUN ] FunctionalTest.SoftMarginLossNoReduction 2022-11-23T02:17:39.5052462Z [ OK ] FunctionalTest.SoftMarginLossNoReduction (0 ms) 2022-11-23T02:17:39.5052951Z [ RUN ] FunctionalTest.MultiLabelSoftMarginLossWeightedNoReduction 2022-11-23T02:17:39.5057172Z [ OK ] FunctionalTest.MultiLabelSoftMarginLossWeightedNoReduction (0 ms) 2022-11-23T02:17:39.5057640Z [ RUN ] FunctionalTest.PairwiseDistance 2022-11-23T02:17:39.5059314Z [ OK ] FunctionalTest.PairwiseDistance (0 ms) 2022-11-23T02:17:39.5059657Z [ RUN ] FunctionalTest.PDist 2022-11-23T02:17:39.5061736Z [ OK ] FunctionalTest.PDist (0 ms) 2022-11-23T02:17:39.5062139Z [ RUN ] FunctionalTest.AdaptiveMaxPool1d 2022-11-23T02:17:39.5063407Z [ OK ] FunctionalTest.AdaptiveMaxPool1d (0 ms) 2022-11-23T02:17:39.5063930Z [ RUN ] FunctionalTest.AdaptiveMaxPool2d 2022-11-23T02:17:39.5064992Z [ OK ] FunctionalTest.AdaptiveMaxPool2d (0 ms) 2022-11-23T02:17:39.5065502Z [ RUN ] FunctionalTest.AdaptiveMaxPool3d 2022-11-23T02:17:39.5066305Z [ OK ] FunctionalTest.AdaptiveMaxPool3d (0 ms) 2022-11-23T02:17:39.5066809Z [ RUN ] FunctionalTest.AdaptiveAvgPool1d 2022-11-23T02:17:39.5067557Z [ OK ] FunctionalTest.AdaptiveAvgPool1d (0 ms) 2022-11-23T02:17:39.5068062Z [ RUN ] FunctionalTest.AdaptiveAvgPool2d 2022-11-23T02:17:39.5068899Z [ OK ] FunctionalTest.AdaptiveAvgPool2d (0 ms) 2022-11-23T02:17:39.5069494Z [ RUN ] FunctionalTest.AdaptiveAvgPool3d 2022-11-23T02:17:39.5070285Z [ OK ] FunctionalTest.AdaptiveAvgPool3d (0 ms) 2022-11-23T02:17:39.5070641Z [ RUN ] FunctionalTest.L1Loss 2022-11-23T02:17:39.5072524Z [ OK ] FunctionalTest.L1Loss (0 ms) 2022-11-23T02:17:39.5072939Z [ RUN ] FunctionalTest.MSELoss 2022-11-23T02:17:39.5073584Z [ OK ] FunctionalTest.MSELoss (0 ms) 2022-11-23T02:17:39.5073948Z [ RUN ] FunctionalTest.BCELoss 2022-11-23T02:17:39.5075386Z [ OK ] FunctionalTest.BCELoss (0 ms) 2022-11-23T02:17:39.5075914Z [ RUN ] FunctionalTest.KLDivLoss 2022-11-23T02:17:39.5077156Z [W loss.h:57] Warning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. (function kl_div) 2022-11-23T02:17:39.5077809Z [ OK ] FunctionalTest.KLDivLoss (0 ms) 2022-11-23T02:17:39.5078375Z [ RUN ] FunctionalTest.HingeEmbeddingLoss 2022-11-23T02:17:39.5078951Z [ OK ] FunctionalTest.HingeEmbeddingLoss (0 ms) 2022-11-23T02:17:39.5079284Z [ RUN ] FunctionalTest.GridSample 2022-11-23T02:17:39.5080487Z [W vision.h:87] Warning: Default grid_sample and affine_grid behavior has changed to align_corners=False since 1.3.0. Please specify align_corners=True if the old behavior is desired. See the documentation of grid_sample for details. (function grid_sample) 2022-11-23T02:17:39.5081768Z [ OK ] FunctionalTest.GridSample (0 ms) 2022-11-23T02:17:39.5082352Z [ RUN ] FunctionalTest.AffineGrid 2022-11-23T02:17:39.5220897Z [ OK ] FunctionalTest.AffineGrid (13 ms) 2022-11-23T02:17:39.5221477Z [ RUN ] FunctionalTest.MultiMarginLoss 2022-11-23T02:17:39.5222239Z [ OK ] FunctionalTest.MultiMarginLoss (0 ms) 2022-11-23T02:17:39.5222830Z [ RUN ] FunctionalTest.CosineEmbeddingLoss 2022-11-23T02:17:39.5224668Z [ OK ] FunctionalTest.CosineEmbeddingLoss (0 ms) 2022-11-23T02:17:39.5225343Z [ RUN ] FunctionalTest.MultiLabelMarginLossDefaultOptions 2022-11-23T02:17:39.5226769Z [ OK ] FunctionalTest.MultiLabelMarginLossDefaultOptions (0 ms) 2022-11-23T02:17:39.5227213Z [ RUN ] FunctionalTest.MultiLabelMarginLossNoReduction 2022-11-23T02:17:39.5228329Z [ OK ] FunctionalTest.MultiLabelMarginLossNoReduction (0 ms) 2022-11-23T02:17:39.5228852Z [ RUN ] FunctionalTest.TripletMarginLoss 2022-11-23T02:17:39.5230038Z [ OK ] FunctionalTest.TripletMarginLoss (0 ms) 2022-11-23T02:17:39.5230549Z [ RUN ] FunctionalTest.TripletMarginWithDistanceLossDefaultParity 2022-11-23T02:17:39.5371495Z [ OK ] FunctionalTest.TripletMarginWithDistanceLossDefaultParity (14 ms) 2022-11-23T02:17:39.5372062Z [ RUN ] FunctionalTest.NLLLoss 2022-11-23T02:17:39.5372902Z [ OK ] FunctionalTest.NLLLoss (0 ms) 2022-11-23T02:17:39.5373197Z [ RUN ] FunctionalTest.CrossEntropy 2022-11-23T02:17:39.5377252Z [ OK ] FunctionalTest.CrossEntropy (0 ms) 2022-11-23T02:17:39.5377806Z [ RUN ] FunctionalTest.MaxUnpool1d 2022-11-23T02:17:39.5381616Z [ OK ] FunctionalTest.MaxUnpool1d (0 ms) 2022-11-23T02:17:39.5381950Z [ RUN ] FunctionalTest.MaxUnpool2d 2022-11-23T02:17:39.5383952Z [ OK ] FunctionalTest.MaxUnpool2d (0 ms) 2022-11-23T02:17:39.5384327Z [ RUN ] FunctionalTest.MaxUnpool3d 2022-11-23T02:17:39.5385729Z [ OK ] FunctionalTest.MaxUnpool3d (0 ms) 2022-11-23T02:17:39.5386021Z [ RUN ] FunctionalTest.ELU 2022-11-23T02:17:39.5397828Z [ OK ] FunctionalTest.ELU (1 ms) 2022-11-23T02:17:39.5398205Z [ RUN ] FunctionalTest.SELU 2022-11-23T02:17:39.5401199Z [ OK ] FunctionalTest.SELU (0 ms) 2022-11-23T02:17:39.5401497Z [ RUN ] FunctionalTest.GLU 2022-11-23T02:17:39.5402918Z [ OK ] FunctionalTest.GLU (0 ms) 2022-11-23T02:17:39.5403175Z [ RUN ] FunctionalTest.GELU 2022-11-23T02:17:39.5407525Z [ OK ] FunctionalTest.GELU (0 ms) 2022-11-23T02:17:39.5407888Z [ RUN ] FunctionalTest.TanhGELU 2022-11-23T02:17:39.5409152Z [ OK ] FunctionalTest.TanhGELU (0 ms) 2022-11-23T02:17:39.5409444Z [ RUN ] FunctionalTest.Hardshrink 2022-11-23T02:17:39.5416526Z [ OK ] FunctionalTest.Hardshrink (0 ms) 2022-11-23T02:17:39.5416908Z [ RUN ] FunctionalTest.OneHot 2022-11-23T02:17:39.5419772Z [ OK ] FunctionalTest.OneHot (0 ms) 2022-11-23T02:17:39.5420165Z [ RUN ] FunctionalTest.Hardtanh 2022-11-23T02:17:39.5442365Z [ OK ] FunctionalTest.Hardtanh (2 ms) 2022-11-23T02:17:39.5442827Z [ RUN ] FunctionalTest.LeakyReLU 2022-11-23T02:17:39.5450324Z [ OK ] FunctionalTest.LeakyReLU (0 ms) 2022-11-23T02:17:39.5450910Z [ RUN ] FunctionalTest.LogSigmoid 2022-11-23T02:17:39.5451849Z [ OK ] FunctionalTest.LogSigmoid (0 ms) 2022-11-23T02:17:39.5452429Z [ RUN ] FunctionalTest.GumbelSoftmax 2022-11-23T02:17:39.5480980Z [ OK ] FunctionalTest.GumbelSoftmax (2 ms) 2022-11-23T02:17:39.5481555Z [ RUN ] FunctionalTest.Softmax 2022-11-23T02:17:39.5482338Z [ OK ] FunctionalTest.Softmax (0 ms) 2022-11-23T02:17:39.5482897Z [ RUN ] FunctionalTest.Softmin 2022-11-23T02:17:39.5483811Z [ OK ] FunctionalTest.Softmin (0 ms) 2022-11-23T02:17:39.5484373Z [ RUN ] FunctionalTest.LogSoftmax 2022-11-23T02:17:39.5485090Z [ OK ] FunctionalTest.LogSoftmax (0 ms) 2022-11-23T02:17:39.5485843Z [ RUN ] FunctionalTest.PReLU 2022-11-23T02:17:39.5487367Z [ OK ] FunctionalTest.PReLU (0 ms) 2022-11-23T02:17:39.5487904Z [ RUN ] FunctionalTest.LayerNorm 2022-11-23T02:17:39.5488497Z [ OK ] FunctionalTest.LayerNorm (0 ms) 2022-11-23T02:17:39.5488895Z [ RUN ] FunctionalTest.GroupNorm 2022-11-23T02:17:39.5490909Z [ OK ] FunctionalTest.GroupNorm (0 ms) 2022-11-23T02:17:39.5491248Z [ RUN ] FunctionalTest.LocalResponseNorm 2022-11-23T02:17:39.5493053Z [ OK ] FunctionalTest.LocalResponseNorm (0 ms) 2022-11-23T02:17:39.5493642Z [ RUN ] FunctionalTest.Linear 2022-11-23T02:17:39.5495748Z [ OK ] FunctionalTest.Linear (0 ms) 2022-11-23T02:17:39.5496057Z [ RUN ] FunctionalTest.Embedding 2022-11-23T02:17:39.5496965Z [ OK ] FunctionalTest.Embedding (0 ms) 2022-11-23T02:17:39.5497274Z [ RUN ] FunctionalTest.EmbeddingBag 2022-11-23T02:17:39.5502375Z [ OK ] FunctionalTest.EmbeddingBag (0 ms) 2022-11-23T02:17:39.5502710Z [ RUN ] FunctionalTest.Bilinear 2022-11-23T02:17:39.5505533Z [ OK ] FunctionalTest.Bilinear (0 ms) 2022-11-23T02:17:39.5505828Z [ RUN ] FunctionalTest.Normalize 2022-11-23T02:17:39.5509799Z [ OK ] FunctionalTest.Normalize (0 ms) 2022-11-23T02:17:39.5510093Z [ RUN ] FunctionalTest.ReLU 2022-11-23T02:17:39.5512958Z [ OK ] FunctionalTest.ReLU (0 ms) 2022-11-23T02:17:39.5513355Z [ RUN ] FunctionalTest.ReLUDefaultOptions 2022-11-23T02:17:39.5513830Z [ OK ] FunctionalTest.ReLUDefaultOptions (0 ms) 2022-11-23T02:17:39.5514141Z [ RUN ] FunctionalTest.ReLU6 2022-11-23T02:17:39.5516319Z [ OK ] FunctionalTest.ReLU6 (0 ms) 2022-11-23T02:17:39.5516767Z [ RUN ] FunctionalTest.ReLU6DefaultOptions 2022-11-23T02:17:39.5517298Z [ OK ] FunctionalTest.ReLU6DefaultOptions (0 ms) 2022-11-23T02:17:39.5517613Z [ RUN ] FunctionalTest.RReLU 2022-11-23T02:17:39.5546435Z [ OK ] FunctionalTest.RReLU (2 ms) 2022-11-23T02:17:39.5546819Z [ RUN ] FunctionalTest.RReLUDefaultOptions 2022-11-23T02:17:39.5548566Z [ OK ] FunctionalTest.RReLUDefaultOptions (0 ms) 2022-11-23T02:17:39.5548978Z [ RUN ] FunctionalTest.CELU 2022-11-23T02:17:39.5559841Z [ OK ] FunctionalTest.CELU (1 ms) 2022-11-23T02:17:39.5560223Z [ RUN ] FunctionalTest.CELUDefaultOptions 2022-11-23T02:17:39.5561418Z [ OK ] FunctionalTest.CELUDefaultOptions (0 ms) 2022-11-23T02:17:39.5561800Z [ RUN ] FunctionalTest.PixelShuffle 2022-11-23T02:17:39.5563567Z [ OK ] FunctionalTest.PixelShuffle (0 ms) 2022-11-23T02:17:39.5563918Z [ RUN ] FunctionalTest.PixelUnshuffle 2022-11-23T02:17:39.5565750Z [ OK ] FunctionalTest.PixelUnshuffle (0 ms) 2022-11-23T02:17:39.5566139Z [ RUN ] FunctionalTest.Softplus 2022-11-23T02:17:39.5572113Z [ OK ] FunctionalTest.Softplus (0 ms) 2022-11-23T02:17:39.5572548Z [ RUN ] FunctionalTest.SoftplusDefaultOptions 2022-11-23T02:17:39.5573665Z [ OK ] FunctionalTest.SoftplusDefaultOptions (0 ms) 2022-11-23T02:17:39.5574019Z [ RUN ] FunctionalTest.Fold 2022-11-23T02:17:39.5574914Z [ OK ] FunctionalTest.Fold (0 ms) 2022-11-23T02:17:39.5575229Z [ RUN ] FunctionalTest.Unfold 2022-11-23T02:17:39.5576731Z [ OK ] FunctionalTest.Unfold (0 ms) 2022-11-23T02:17:39.5577070Z [ RUN ] FunctionalTest.Softshrink 2022-11-23T02:17:39.5582639Z [ OK ] FunctionalTest.Softshrink (0 ms) 2022-11-23T02:17:39.5583125Z [ RUN ] FunctionalTest.SoftshrinkDefaultOptions 2022-11-23T02:17:39.5583823Z [ OK ] FunctionalTest.SoftshrinkDefaultOptions (0 ms) 2022-11-23T02:17:39.5584604Z [ RUN ] FunctionalTest.Softsign 2022-11-23T02:17:39.5585149Z [ OK ] FunctionalTest.Softsign (0 ms) 2022-11-23T02:17:39.5585651Z [ RUN ] FunctionalTest.Mish 2022-11-23T02:17:39.5586395Z [ OK ] FunctionalTest.Mish (0 ms) 2022-11-23T02:17:39.5586934Z [ RUN ] FunctionalTest.Tanhshrink 2022-11-23T02:17:39.5587508Z [ OK ] FunctionalTest.Tanhshrink (0 ms) 2022-11-23T02:17:39.5588071Z [ RUN ] FunctionalTest.Threshold 2022-11-23T02:17:39.5599404Z [ OK ] FunctionalTest.Threshold (1 ms) 2022-11-23T02:17:39.5600153Z [ RUN ] FunctionalTest.BatchNorm1d 2022-11-23T02:17:39.5600787Z [ OK ] FunctionalTest.BatchNorm1d (0 ms) 2022-11-23T02:17:39.5601517Z [ RUN ] FunctionalTest.BatchNorm1dDefaultOptions 2022-11-23T02:17:39.5602283Z [ OK ] FunctionalTest.BatchNorm1dDefaultOptions (0 ms) 2022-11-23T02:17:39.5602945Z [ RUN ] FunctionalTest.BatchNorm2d 2022-11-23T02:17:39.5605021Z [ OK ] FunctionalTest.BatchNorm2d (0 ms) 2022-11-23T02:17:39.5605742Z [ RUN ] FunctionalTest.BatchNorm2dDefaultOptions 2022-11-23T02:17:39.5606520Z [ OK ] FunctionalTest.BatchNorm2dDefaultOptions (0 ms) 2022-11-23T02:17:39.5607144Z [ RUN ] FunctionalTest.BatchNorm3d 2022-11-23T02:17:39.5608020Z [ OK ] FunctionalTest.BatchNorm3d (0 ms) 2022-11-23T02:17:39.5608746Z [ RUN ] FunctionalTest.BatchNorm3dDefaultOptions 2022-11-23T02:17:39.5609577Z [ OK ] FunctionalTest.BatchNorm3dDefaultOptions (0 ms) 2022-11-23T02:17:39.5610271Z [ RUN ] FunctionalTest.InstanceNorm1d 2022-11-23T02:17:39.5612637Z [ OK ] FunctionalTest.InstanceNorm1d (0 ms) 2022-11-23T02:17:39.5613021Z [ RUN ] FunctionalTest.InstanceNorm1dDefaultOptions 2022-11-23T02:17:39.5614964Z [ OK ] FunctionalTest.InstanceNorm1dDefaultOptions (0 ms) 2022-11-23T02:17:39.5615328Z [ RUN ] FunctionalTest.InstanceNorm2d 2022-11-23T02:17:39.5618155Z [ OK ] FunctionalTest.InstanceNorm2d (0 ms) 2022-11-23T02:17:39.5618533Z [ RUN ] FunctionalTest.InstanceNorm2dDefaultOptions 2022-11-23T02:17:39.5620925Z [ OK ] FunctionalTest.InstanceNorm2dDefaultOptions (0 ms) 2022-11-23T02:17:39.5621288Z [ RUN ] FunctionalTest.InstanceNorm3d 2022-11-23T02:17:39.5624738Z [ OK ] FunctionalTest.InstanceNorm3d (0 ms) 2022-11-23T02:17:39.5625115Z [ RUN ] FunctionalTest.InstanceNorm3dDefaultOptions 2022-11-23T02:17:39.5628061Z [ OK ] FunctionalTest.InstanceNorm3dDefaultOptions (0 ms) 2022-11-23T02:17:39.5628527Z [ RUN ] FunctionalTest.Interpolate 2022-11-23T02:17:39.5629588Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T02:17:39.5630682Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T02:17:39.5632054Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T02:17:39.5633330Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T02:17:39.5634412Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T02:17:39.5635383Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T02:17:39.5636288Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T02:17:39.5637188Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T02:17:39.5711770Z [ OK ] FunctionalTest.Interpolate (8 ms) 2022-11-23T02:17:39.5712084Z [ RUN ] FunctionalTest.Pad1 2022-11-23T02:17:39.5712820Z [ OK ] FunctionalTest.Pad1 (0 ms) 2022-11-23T02:17:39.5713158Z [ RUN ] FunctionalTest.Pad2 2022-11-23T02:17:39.5715019Z [ OK ] FunctionalTest.Pad2 (0 ms) 2022-11-23T02:17:39.5715306Z [ RUN ] FunctionalTest.Pad3 2022-11-23T02:17:39.5719652Z [ OK ] FunctionalTest.Pad3 (0 ms) 2022-11-23T02:17:39.5719978Z [ RUN ] FunctionalTest.Pad4 2022-11-23T02:17:39.5721761Z [ OK ] FunctionalTest.Pad4 (0 ms) 2022-11-23T02:17:39.5722078Z [ RUN ] FunctionalTest.Pad5 2022-11-23T02:17:39.5724654Z [ OK ] FunctionalTest.Pad5 (0 ms) 2022-11-23T02:17:39.5724969Z [ RUN ] FunctionalTest.Pad6 2022-11-23T02:17:39.5726997Z [ OK ] FunctionalTest.Pad6 (0 ms) 2022-11-23T02:17:39.5727364Z [ RUN ] FunctionalTest.Pad7 2022-11-23T02:17:39.5727648Z [ OK ] FunctionalTest.Pad7 (0 ms) 2022-11-23T02:17:39.5727923Z [ RUN ] FunctionalTest.Pad8 2022-11-23T02:17:39.5728185Z [ OK ] FunctionalTest.Pad8 (0 ms) 2022-11-23T02:17:39.5728466Z [ RUN ] FunctionalTest.CTCLoss 2022-11-23T02:17:39.5838715Z [ OK ] FunctionalTest.CTCLoss (11 ms) 2022-11-23T02:17:39.5839117Z [ RUN ] FunctionalTest.PoissonNLLLoss 2022-11-23T02:17:39.5841291Z [ OK ] FunctionalTest.PoissonNLLLoss (0 ms) 2022-11-23T02:17:39.5841665Z [ RUN ] FunctionalTest.MarginRankingLoss 2022-11-23T02:17:39.5844339Z [ OK ] FunctionalTest.MarginRankingLoss (0 ms) 2022-11-23T02:17:39.5844713Z [ RUN ] FunctionalTest.ConvTranspose1d 2022-11-23T02:17:39.5847607Z [ OK ] FunctionalTest.ConvTranspose1d (0 ms) 2022-11-23T02:17:39.5847978Z [ RUN ] FunctionalTest.ConvTranspose2dEven 2022-11-23T02:17:39.5852241Z [ OK ] FunctionalTest.ConvTranspose2dEven (0 ms) 2022-11-23T02:17:39.5852607Z [ RUN ] FunctionalTest.ConvTranspose2dUneven 2022-11-23T02:17:39.5856178Z [ OK ] FunctionalTest.ConvTranspose2dUneven (0 ms) 2022-11-23T02:17:39.5856544Z [ RUN ] FunctionalTest.ConvTranspose3d 2022-11-23T02:17:39.5859550Z [ OK ] FunctionalTest.ConvTranspose3d (0 ms) 2022-11-23T02:17:39.5859986Z [ RUN ] FunctionalTest.AlphaDropout 2022-11-23T02:17:39.5868753Z [ OK ] FunctionalTest.AlphaDropout (0 ms) 2022-11-23T02:17:39.5869103Z [ RUN ] FunctionalTest.FeatureAlphaDropout 2022-11-23T02:17:39.5878385Z [ OK ] FunctionalTest.FeatureAlphaDropout (0 ms) 2022-11-23T02:17:39.5878737Z [ RUN ] FunctionalTest.Dropout 2022-11-23T02:17:39.5884851Z [ OK ] FunctionalTest.Dropout (0 ms) 2022-11-23T02:17:39.5885201Z [ RUN ] FunctionalTest.Dropout2d 2022-11-23T02:17:39.5891649Z [ OK ] FunctionalTest.Dropout2d (0 ms) 2022-11-23T02:17:39.5891985Z [ RUN ] FunctionalTest.Dropout3d 2022-11-23T02:17:39.5896839Z [ OK ] FunctionalTest.Dropout3d (0 ms) 2022-11-23T02:17:39.5897170Z [ RUN ] FunctionalTest.isfinite 2022-11-23T02:17:39.5902988Z [ OK ] FunctionalTest.isfinite (0 ms) 2022-11-23T02:17:39.5903306Z [ RUN ] FunctionalTest.isinf 2022-11-23T02:17:39.5907214Z [ OK ] FunctionalTest.isinf (0 ms) 2022-11-23T02:17:39.5907541Z [ RUN ] FunctionalTest.AllClose 2022-11-23T02:17:39.5967823Z [ OK ] FunctionalTest.AllClose (6 ms) 2022-11-23T02:17:39.5968157Z [ RUN ] FunctionalTest.BCEWithLogitsLoss 2022-11-23T02:17:39.6007958Z [ OK ] FunctionalTest.BCEWithLogitsLoss (3 ms) 2022-11-23T02:17:39.6008652Z [----------] 132 tests from FunctionalTest (106 ms total) 2022-11-23T02:17:39.6008870Z 2022-11-23T02:17:39.6009026Z [----------] 1 test from IntegrationTest 2022-11-23T02:17:39.6009316Z [ RUN ] IntegrationTest.CartPole 2022-11-23T02:17:52.9158928Z [ OK ] IntegrationTest.CartPole (13314 ms) 2022-11-23T02:17:52.9159322Z [----------] 1 test from IntegrationTest (13314 ms total) 2022-11-23T02:17:52.9159493Z 2022-11-23T02:17:52.9159631Z [----------] 9 tests from InitTest 2022-11-23T02:17:52.9159982Z [ RUN ] InitTest.ProducesPyTorchValues_XavierUniform 2022-11-23T02:17:52.9175187Z [ OK ] InitTest.ProducesPyTorchValues_XavierUniform (1 ms) 2022-11-23T02:17:52.9175609Z [ RUN ] InitTest.ProducesPyTorchValues_XavierNormal 2022-11-23T02:17:52.9188387Z [ OK ] InitTest.ProducesPyTorchValues_XavierNormal (1 ms) 2022-11-23T02:17:52.9188800Z [ RUN ] InitTest.ProducesPyTorchValues_KaimingNormal 2022-11-23T02:17:52.9202395Z [ OK ] InitTest.ProducesPyTorchValues_KaimingNormal (1 ms) 2022-11-23T02:17:52.9202799Z [ RUN ] InitTest.ProducesPyTorchValues_KaimingUniform 2022-11-23T02:17:52.9213845Z [ OK ] InitTest.ProducesPyTorchValues_KaimingUniform (1 ms) 2022-11-23T02:17:52.9214239Z [ RUN ] InitTest.CanInitializeTensorThatRequiresGrad 2022-11-23T02:17:52.9240698Z [ OK ] InitTest.CanInitializeTensorThatRequiresGrad (2 ms) 2022-11-23T02:17:52.9241126Z [ RUN ] InitTest.CalculateGainWithTanh 2022-11-23T02:17:52.9241468Z [ OK ] InitTest.CalculateGainWithTanh (0 ms) 2022-11-23T02:17:52.9241788Z [ RUN ] InitTest.CalculateGainWithRelu 2022-11-23T02:17:52.9242114Z [ OK ] InitTest.CalculateGainWithRelu (0 ms) 2022-11-23T02:17:52.9242636Z [ RUN ] InitTest.CalculateGainWithLeakyRelu 2022-11-23T02:17:52.9242994Z [ OK ] InitTest.CalculateGainWithLeakyRelu (0 ms) 2022-11-23T02:17:52.9243364Z [ RUN ] InitTest.CanInitializeCnnWithOrthogonal 2022-11-23T02:17:52.9244369Z [ OK ] InitTest.CanInitializeCnnWithOrthogonal (0 ms) 2022-11-23T02:17:52.9244785Z [----------] 9 tests from InitTest (8 ms total) 2022-11-23T02:17:52.9244936Z 2022-11-23T02:17:52.9245093Z [----------] 6 tests from TorchScriptTest 2022-11-23T02:17:52.9245437Z [ RUN ] TorchScriptTest.CanCompileMultipleFunctions 2022-11-23T02:17:52.9624079Z [ OK ] TorchScriptTest.CanCompileMultipleFunctions (37 ms) 2022-11-23T02:17:52.9624974Z [ RUN ] TorchScriptTest.TestNestedIValueModuleArgMatching 2022-11-23T02:17:52.9656110Z [ OK ] TorchScriptTest.TestNestedIValueModuleArgMatching (3 ms) 2022-11-23T02:17:52.9656842Z [ RUN ] TorchScriptTest.TestDictArgMatching 2022-11-23T02:17:52.9660055Z [ OK ] TorchScriptTest.TestDictArgMatching (0 ms) 2022-11-23T02:17:52.9660685Z [ RUN ] TorchScriptTest.TestTupleArgMatching 2022-11-23T02:17:52.9661450Z [ OK ] TorchScriptTest.TestTupleArgMatching (0 ms) 2022-11-23T02:17:52.9662068Z [ RUN ] TorchScriptTest.TestOptionalArgMatching 2022-11-23T02:17:52.9667910Z [ OK ] TorchScriptTest.TestOptionalArgMatching (0 ms) 2022-11-23T02:17:52.9668521Z [ RUN ] TorchScriptTest.TestPickle 2022-11-23T02:17:52.9669087Z [ OK ] TorchScriptTest.TestPickle (0 ms) 2022-11-23T02:17:52.9669759Z [----------] 6 tests from TorchScriptTest (42 ms total) 2022-11-23T02:17:52.9670029Z 2022-11-23T02:17:52.9670272Z [----------] 3 tests from MakeUniqueTest 2022-11-23T02:17:52.9670793Z [ RUN ] MakeUniqueTest.ForwardRvaluesCorrectly 2022-11-23T02:17:52.9671339Z [ OK ] MakeUniqueTest.ForwardRvaluesCorrectly (0 ms) 2022-11-23T02:17:52.9672041Z [ RUN ] MakeUniqueTest.ForwardLvaluesCorrectly 2022-11-23T02:17:52.9672910Z [ OK ] MakeUniqueTest.ForwardLvaluesCorrectly (0 ms) 2022-11-23T02:17:52.9673701Z [ RUN ] MakeUniqueTest.CanConstructUniquePtrOfArray 2022-11-23T02:17:52.9674541Z [ OK ] MakeUniqueTest.CanConstructUniquePtrOfArray (0 ms) 2022-11-23T02:17:52.9675304Z [----------] 3 tests from MakeUniqueTest (0 ms total) 2022-11-23T02:17:52.9675621Z 2022-11-23T02:17:52.9675924Z [----------] 2 tests from MetaTensorTest 2022-11-23T02:17:52.9676514Z [ RUN ] MetaTensorTest.MetaDeviceApi 2022-11-23T02:17:52.9677155Z [ OK ] MetaTensorTest.MetaDeviceApi (0 ms) 2022-11-23T02:17:52.9677806Z [ RUN ] MetaTensorTest.MetaNamespaceApi 2022-11-23T02:17:52.9678491Z [ OK ] MetaTensorTest.MetaNamespaceApi (0 ms) 2022-11-23T02:17:52.9679210Z [----------] 2 tests from MetaTensorTest (0 ms total) 2022-11-23T02:17:52.9679484Z 2022-11-23T02:17:52.9679726Z [----------] 2 tests from UtilsTest 2022-11-23T02:17:52.9680182Z [ RUN ] UtilsTest.WarnOnce 2022-11-23T02:17:52.9680637Z [ OK ] UtilsTest.WarnOnce (0 ms) 2022-11-23T02:17:52.9681195Z [ RUN ] UtilsTest.AmbiguousOperatorDefaults 2022-11-23T02:17:52.9681820Z [ OK ] UtilsTest.AmbiguousOperatorDefaults (0 ms) 2022-11-23T02:17:52.9682407Z [----------] 2 tests from UtilsTest (0 ms total) 2022-11-23T02:17:52.9682642Z 2022-11-23T02:17:52.9682887Z [----------] 1 test from NoGradTest 2022-11-23T02:17:52.9683414Z [ RUN ] NoGradTest.SetsGradModeCorrectly 2022-11-23T02:17:52.9709256Z [ OK ] NoGradTest.SetsGradModeCorrectly (3 ms) 2022-11-23T02:17:52.9709793Z [----------] 1 test from NoGradTest (3 ms total) 2022-11-23T02:17:52.9710035Z 2022-11-23T02:17:52.9710278Z [----------] 3 tests from AutogradTest 2022-11-23T02:17:52.9710970Z [ RUN ] AutogradTest.CanTakeDerivatives 2022-11-23T02:17:52.9711533Z [ OK ] AutogradTest.CanTakeDerivatives (0 ms) 2022-11-23T02:17:52.9712154Z [ RUN ] AutogradTest.CanTakeDerivativesOfZeroDimTensors 2022-11-23T02:17:52.9712863Z [ OK ] AutogradTest.CanTakeDerivativesOfZeroDimTensors (0 ms) 2022-11-23T02:17:52.9713493Z [ RUN ] AutogradTest.CanPassCustomGradientInputs 2022-11-23T02:17:52.9714246Z [ OK ] AutogradTest.CanPassCustomGradientInputs (0 ms) 2022-11-23T02:17:52.9714923Z [----------] 3 tests from AutogradTest (0 ms total) 2022-11-23T02:17:52.9715359Z 2022-11-23T02:17:52.9715673Z [----------] 1 test from OptionalArrayRefTest 2022-11-23T02:17:52.9716321Z [ RUN ] OptionalArrayRefTest.DanglingPointerFix 2022-11-23T02:17:52.9717015Z [ OK ] OptionalArrayRefTest.DanglingPointerFix (0 ms) 2022-11-23T02:17:52.9717794Z [----------] 1 test from OptionalArrayRefTest (0 ms total) 2022-11-23T02:17:52.9718127Z 2022-11-23T02:17:52.9718412Z [----------] 52 tests from ModuleTest 2022-11-23T02:17:52.9719072Z [ RUN ] ModuleTest.CanEnableAndDisableTrainingMode 2022-11-23T02:17:52.9719890Z [ OK ] ModuleTest.CanEnableAndDisableTrainingMode (0 ms) 2022-11-23T02:17:52.9720547Z [ RUN ] ModuleTest.ZeroGrad 2022-11-23T02:17:52.9721115Z [ OK ] ModuleTest.ZeroGrad (0 ms) 2022-11-23T02:17:52.9721756Z [ RUN ] ModuleTest.ZeroGradWithUndefined 2022-11-23T02:17:52.9722356Z [ OK ] ModuleTest.ZeroGradWithUndefined (0 ms) 2022-11-23T02:17:52.9723067Z [ RUN ] ModuleTest.RegisterModuleThrowsForEmptyOrDottedName 2022-11-23T02:17:52.9743941Z [ OK ] ModuleTest.RegisterModuleThrowsForEmptyOrDottedName (2 ms) 2022-11-23T02:17:52.9744825Z [ RUN ] ModuleTest.RegisterModuleThrowsForDuplicateModuleName 2022-11-23T02:17:52.9756142Z [ OK ] ModuleTest.RegisterModuleThrowsForDuplicateModuleName (1 ms) 2022-11-23T02:17:52.9756987Z [ RUN ] ModuleTest.ReplaceModuleThrowsForUnknownModuleName 2022-11-23T02:17:52.9769414Z [ OK ] ModuleTest.ReplaceModuleThrowsForUnknownModuleName (1 ms) 2022-11-23T02:17:52.9769983Z [ RUN ] ModuleTest.ReplaceModule 2022-11-23T02:17:52.9770295Z [ OK ] ModuleTest.ReplaceModule (0 ms) 2022-11-23T02:17:52.9770604Z [ RUN ] ModuleTest.UnregisterModule 2022-11-23T02:17:52.9786155Z [ OK ] ModuleTest.UnregisterModule (1 ms) 2022-11-23T02:17:52.9786836Z [ RUN ] ModuleTest.RegisterParameterThrowsForEmptyOrDottedName 2022-11-23T02:17:52.9818482Z [ OK ] ModuleTest.RegisterParameterThrowsForEmptyOrDottedName (3 ms) 2022-11-23T02:17:52.9819307Z [ RUN ] ModuleTest.RegisterParameterThrowsForDuplicateModuleName 2022-11-23T02:17:52.9840999Z [ OK ] ModuleTest.RegisterParameterThrowsForDuplicateModuleName (2 ms) 2022-11-23T02:17:52.9841579Z [ RUN ] ModuleTest.RegisterParameterUndefinedTensor 2022-11-23T02:17:52.9841998Z [ OK ] ModuleTest.RegisterParameterUndefinedTensor (0 ms) 2022-11-23T02:17:52.9842417Z [ RUN ] ModuleTest.RegisterBufferThrowsForEmptyOrDottedName 2022-11-23T02:17:52.9873549Z [ OK ] ModuleTest.RegisterBufferThrowsForEmptyOrDottedName (3 ms) 2022-11-23T02:17:52.9874192Z [ RUN ] ModuleTest.RegisterBufferThrowsForDuplicateModuleName 2022-11-23T02:17:52.9895913Z [ OK ] ModuleTest.RegisterBufferThrowsForDuplicateModuleName (2 ms) 2022-11-23T02:17:52.9896344Z [ RUN ] ModuleTest.CanGetName 2022-11-23T02:17:52.9896741Z [ OK ] ModuleTest.CanGetName (0 ms) 2022-11-23T02:17:52.9897068Z [ RUN ] ModuleTest.AsCastsModulesCorrectly 2022-11-23T02:17:52.9897471Z [ OK ] ModuleTest.AsCastsModulesCorrectly (0 ms) 2022-11-23T02:17:52.9898026Z [ RUN ] ModuleTest.DeviceOrDtypeConversionSkipsUndefinedTensor 2022-11-23T02:17:52.9898512Z [ OK ] ModuleTest.DeviceOrDtypeConversionSkipsUndefinedTensor (0 ms) 2022-11-23T02:17:52.9899168Z [ RUN ] ModuleTest.ParametersAndBuffersAccessorSkipsUndefinedTensor 2022-11-23T02:17:52.9899671Z [ OK ] ModuleTest.ParametersAndBuffersAccessorSkipsUndefinedTensor (0 ms) 2022-11-23T02:17:52.9900188Z [ RUN ] ModuleTest.CallingCloneOnModuleThatDoesNotOverrideCloneThrows 2022-11-23T02:17:52.9914300Z [ OK ] ModuleTest.CallingCloneOnModuleThatDoesNotOverrideCloneThrows (1 ms) 2022-11-23T02:17:52.9914943Z [ RUN ] ModuleTest.CallingCloneOnModuleThatDoesOverrideCloneDoesNotThrow 2022-11-23T02:17:52.9915571Z [ OK ] ModuleTest.CallingCloneOnModuleThatDoesOverrideCloneDoesNotThrow (0 ms) 2022-11-23T02:17:52.9916075Z [ RUN ] ModuleTest.CloneCreatesDistinctParameters 2022-11-23T02:17:52.9920468Z [ OK ] ModuleTest.CloneCreatesDistinctParameters (0 ms) 2022-11-23T02:17:52.9920856Z [ RUN ] ModuleTest.ClonePreservesExternalReferences 2022-11-23T02:17:52.9922336Z [ OK ] ModuleTest.ClonePreservesExternalReferences (0 ms) 2022-11-23T02:17:52.9922962Z [ RUN ] ModuleTest.CloneCopiesTheValuesOfVariablesOfSubmodules 2022-11-23T02:17:52.9923628Z [ OK ] ModuleTest.CloneCopiesTheValuesOfVariablesOfSubmodules (0 ms) 2022-11-23T02:17:52.9924157Z [ RUN ] ModuleTest.HasCorrectNumberOfParameters 2022-11-23T02:17:52.9924583Z [ OK ] ModuleTest.HasCorrectNumberOfParameters (0 ms) 2022-11-23T02:17:52.9925035Z [ RUN ] ModuleTest.ContainsParametersWithTheCorrectName 2022-11-23T02:17:52.9925490Z [ OK ] ModuleTest.ContainsParametersWithTheCorrectName (0 ms) 2022-11-23T02:17:52.9925865Z [ RUN ] ModuleTest.HasCorrectNumberOfBuffers 2022-11-23T02:17:52.9926228Z [ OK ] ModuleTest.HasCorrectNumberOfBuffers (0 ms) 2022-11-23T02:17:52.9926607Z [ RUN ] ModuleTest.ContainsBuffersWithTheCorrectName 2022-11-23T02:17:52.9927000Z [ OK ] ModuleTest.ContainsBuffersWithTheCorrectName (0 ms) 2022-11-23T02:17:52.9927513Z [ RUN ] ModuleTest.DefaultConstructorOfModuleHolderCallsDefaultConstructorOfImpl 2022-11-23T02:17:52.9928123Z [ OK ] ModuleTest.DefaultConstructorOfModuleHolderCallsDefaultConstructorOfImpl (0 ms) 2022-11-23T02:17:52.9928719Z [ RUN ] ModuleTest.ValueConstructorOfModuleHolderCallsCorrectConstructorInImpl 2022-11-23T02:17:52.9929305Z [ OK ] ModuleTest.ValueConstructorOfModuleHolderCallsCorrectConstructorInImpl (0 ms) 2022-11-23T02:17:52.9929859Z [ RUN ] ModuleTest.NullptrConstructorLeavesTheModuleHolderInEmptyState 2022-11-23T02:17:52.9936754Z [ OK ] ModuleTest.NullptrConstructorLeavesTheModuleHolderInEmptyState (1 ms) 2022-11-23T02:17:52.9937656Z [ RUN ] ModuleTest.ModulesReturnsExpectedSubmodulesForFlatModel 2022-11-23T02:17:52.9938328Z [ OK ] ModuleTest.ModulesReturnsExpectedSubmodulesForFlatModel (0 ms) 2022-11-23T02:17:52.9939346Z [ RUN ] ModuleTest.ModulesExcludesSelfWhenIncludeSelfSetToFalse 2022-11-23T02:17:52.9940226Z [ OK ] ModuleTest.ModulesExcludesSelfWhenIncludeSelfSetToFalse (0 ms) 2022-11-23T02:17:52.9940878Z [ RUN ] ModuleTest.NamedModulesReturnsExpectedNamedSubmodulesForFlatModel 2022-11-23T02:17:52.9941841Z [ OK ] ModuleTest.NamedModulesReturnsExpectedNamedSubmodulesForFlatModel (0 ms) 2022-11-23T02:17:52.9942823Z [ RUN ] ModuleTest.NamedModulesExcludesSelfWhenIncludeSelfSetToFalse 2022-11-23T02:17:52.9943740Z [ OK ] ModuleTest.NamedModulesExcludesSelfWhenIncludeSelfSetToFalse (0 ms) 2022-11-23T02:17:52.9944614Z [ RUN ] ModuleTest.ChildrenReturnsExpectedSubmodulesForFlatModel 2022-11-23T02:17:52.9945655Z [ OK ] ModuleTest.ChildrenReturnsExpectedSubmodulesForFlatModel (0 ms) 2022-11-23T02:17:52.9946505Z [ RUN ] ModuleTest.NamedChildrenReturnsExpectedNamedSubmodulesForFlatModel 2022-11-23T02:17:52.9947071Z [ OK ] ModuleTest.NamedChildrenReturnsExpectedNamedSubmodulesForFlatModel (0 ms) 2022-11-23T02:17:52.9947578Z [ RUN ] ModuleTest.ParametersReturnsExpectedTensorsForFlatModel 2022-11-23T02:17:52.9948061Z [ OK ] ModuleTest.ParametersReturnsExpectedTensorsForFlatModel (0 ms) 2022-11-23T02:17:52.9948562Z [ RUN ] ModuleTest.NamedParametersReturnsExpectedTensorsForFlatModel 2022-11-23T02:17:52.9949129Z [ OK ] ModuleTest.NamedParametersReturnsExpectedTensorsForFlatModel (0 ms) 2022-11-23T02:17:52.9949682Z [ RUN ] ModuleTest.BuffersReturnsExpectedTensorsForFlatModel 2022-11-23T02:17:52.9950141Z [ OK ] ModuleTest.BuffersReturnsExpectedTensorsForFlatModel (0 ms) 2022-11-23T02:17:52.9950616Z [ RUN ] ModuleTest.NamedBuffersReturnsExpectedTensorsForFlatModel 2022-11-23T02:17:52.9951098Z [ OK ] ModuleTest.NamedBuffersReturnsExpectedTensorsForFlatModel (0 ms) 2022-11-23T02:17:52.9951584Z [ RUN ] ModuleTest.ModulesReturnsExpectedSubmodulesForDeepModel 2022-11-23T02:17:52.9952062Z [ OK ] ModuleTest.ModulesReturnsExpectedSubmodulesForDeepModel (0 ms) 2022-11-23T02:17:52.9952567Z [ RUN ] ModuleTest.NamedModulesReturnsExpectedNamedSubmodulesForDeepModel 2022-11-23T02:17:52.9953120Z [ OK ] ModuleTest.NamedModulesReturnsExpectedNamedSubmodulesForDeepModel (0 ms) 2022-11-23T02:17:52.9953643Z [ RUN ] ModuleTest.ChildrensReturnsExpectedSubmodulesForDeepModel 2022-11-23T02:17:52.9954139Z [ OK ] ModuleTest.ChildrensReturnsExpectedSubmodulesForDeepModel (0 ms) 2022-11-23T02:17:52.9954662Z [ RUN ] ModuleTest.NamedChildrensReturnsExpectedNamedSubmodulesForDeepModel 2022-11-23T02:17:52.9955234Z [ OK ] ModuleTest.NamedChildrensReturnsExpectedNamedSubmodulesForDeepModel (0 ms) 2022-11-23T02:17:52.9955696Z [ RUN ] ModuleTest.ModuleApplyIteratesCorreclty 2022-11-23T02:17:52.9956062Z [ OK ] ModuleTest.ModuleApplyIteratesCorreclty (0 ms) 2022-11-23T02:17:52.9956460Z [ RUN ] ModuleTest.ConstModuleApplyIteratesCorreclty 2022-11-23T02:17:52.9956869Z [ OK ] ModuleTest.ConstModuleApplyIteratesCorreclty (0 ms) 2022-11-23T02:17:52.9957268Z [ RUN ] ModuleTest.NamedModuleApplyIteratesCorreclty 2022-11-23T02:17:52.9957665Z [ OK ] ModuleTest.NamedModuleApplyIteratesCorreclty (0 ms) 2022-11-23T02:17:52.9958086Z [ RUN ] ModuleTest.ConstNamedModuleApplyIteratesCorreclty 2022-11-23T02:17:52.9958527Z [ OK ] ModuleTest.ConstNamedModuleApplyIteratesCorreclty (0 ms) 2022-11-23T02:17:52.9958941Z [ RUN ] ModuleTest.ModulePointerApplyIteratesCorreclty 2022-11-23T02:17:52.9959361Z [ OK ] ModuleTest.ModulePointerApplyIteratesCorreclty (0 ms) 2022-11-23T02:17:52.9959797Z [ RUN ] ModuleTest.NamedModulePointerApplyIteratesCorreclty 2022-11-23T02:17:52.9960251Z [ OK ] ModuleTest.NamedModulePointerApplyIteratesCorreclty (0 ms) 2022-11-23T02:17:52.9960728Z [ RUN ] ModuleTest.ThrowsWhenAttemptingtoGetTopLevelModuleAsSharedPtr 2022-11-23T02:17:52.9974035Z [ OK ] ModuleTest.ThrowsWhenAttemptingtoGetTopLevelModuleAsSharedPtr (2 ms) 2022-11-23T02:17:52.9974704Z [ RUN ] ModuleTest.PrettyPrint 2022-11-23T02:17:52.9975001Z [ OK ] ModuleTest.PrettyPrint (0 ms) 2022-11-23T02:17:52.9975400Z [ RUN ] ModuleTest.CanCallForwardOnNonTensorForwardThroughPimpl 2022-11-23T02:17:52.9975891Z [ OK ] ModuleTest.CanCallForwardOnNonTensorForwardThroughPimpl (0 ms) 2022-11-23T02:17:52.9976405Z [----------] 52 tests from ModuleTest (25 ms total) 2022-11-23T02:17:52.9976559Z 2022-11-23T02:17:52.9976700Z [----------] 11 tests from ModuleDictTest 2022-11-23T02:17:52.9977010Z [ RUN ] ModuleDictTest.ConstructsFromList 2022-11-23T02:17:52.9977354Z [ OK ] ModuleDictTest.ConstructsFromList (0 ms) 2022-11-23T02:17:52.9977701Z [ RUN ] ModuleDictTest.ConstructsFromordereddict 2022-11-23T02:17:52.9978084Z [ OK ] ModuleDictTest.ConstructsFromordereddict (0 ms) 2022-11-23T02:17:52.9978452Z [ RUN ] ModuleDictTest.UpdatePopClearContains 2022-11-23T02:17:52.9987033Z [ OK ] ModuleDictTest.UpdatePopClearContains (1 ms) 2022-11-23T02:17:52.9987549Z [ RUN ] ModuleDictTest.UpdateExist 2022-11-23T02:17:52.9987857Z [ OK ] ModuleDictTest.UpdateExist (0 ms) 2022-11-23T02:17:52.9988140Z [ RUN ] ModuleDictTest.Keys 2022-11-23T02:17:52.9999388Z [ OK ] ModuleDictTest.Keys (1 ms) 2022-11-23T02:17:52.9999693Z [ RUN ] ModuleDictTest.Values 2022-11-23T02:17:52.9999981Z [ OK ] ModuleDictTest.Values (0 ms) 2022-11-23T02:17:53.0000406Z [ RUN ] ModuleDictTest.SanityCheckForHoldingStandardModules 2022-11-23T02:17:53.0001430Z [ OK ] ModuleDictTest.SanityCheckForHoldingStandardModules (0 ms) 2022-11-23T02:17:53.0001890Z [ RUN ] ModuleDictTest.HasReferenceSemantics 2022-11-23T02:17:53.0002250Z [ OK ] ModuleDictTest.HasReferenceSemantics (0 ms) 2022-11-23T02:17:53.0002559Z [ RUN ] ModuleDictTest.IsCloneable 2022-11-23T02:17:53.0005547Z [ OK ] ModuleDictTest.IsCloneable (0 ms) 2022-11-23T02:17:53.0005993Z [ RUN ] ModuleDictTest.RegistersElementsAsSubmodules 2022-11-23T02:17:53.0006881Z [ OK ] ModuleDictTest.RegistersElementsAsSubmodules (0 ms) 2022-11-23T02:17:53.0007377Z [ RUN ] ModuleDictTest.PrettyPrintModuleDict 2022-11-23T02:17:53.0008445Z [ OK ] ModuleDictTest.PrettyPrintModuleDict (0 ms) 2022-11-23T02:17:53.0008988Z [----------] 11 tests from ModuleDictTest (3 ms total) 2022-11-23T02:17:53.0009251Z 2022-11-23T02:17:53.0009440Z [----------] 15 tests from ModuleListTest 2022-11-23T02:17:53.0009827Z [ RUN ] ModuleListTest.ConstructsFromSharedPointer 2022-11-23T02:17:53.0010228Z [ OK ] ModuleListTest.ConstructsFromSharedPointer (0 ms) 2022-11-23T02:17:53.0010616Z [ RUN ] ModuleListTest.ConstructsFromConcreteType 2022-11-23T02:17:53.0010990Z [ OK ] ModuleListTest.ConstructsFromConcreteType (0 ms) 2022-11-23T02:17:53.0011374Z [ RUN ] ModuleListTest.ConstructsFromModuleHolder 2022-11-23T02:17:53.0011758Z [ OK ] ModuleListTest.ConstructsFromModuleHolder (0 ms) 2022-11-23T02:17:53.0012128Z [ RUN ] ModuleListTest.PushBackAddsAnElement 2022-11-23T02:17:53.0012482Z [ OK ] ModuleListTest.PushBackAddsAnElement (0 ms) 2022-11-23T02:17:53.0012799Z [ RUN ] ModuleListTest.Insertion 2022-11-23T02:17:53.0013099Z [ OK ] ModuleListTest.Insertion (0 ms) 2022-11-23T02:17:53.0013386Z [ RUN ] ModuleListTest.AccessWithAt 2022-11-23T02:17:53.0033928Z [ OK ] ModuleListTest.AccessWithAt (2 ms) 2022-11-23T02:17:53.0034243Z [ RUN ] ModuleListTest.AccessWithPtr 2022-11-23T02:17:53.0056243Z [ OK ] ModuleListTest.AccessWithPtr (2 ms) 2022-11-23T02:17:53.0056763Z [ RUN ] ModuleListTest.SanityCheckForHoldingStandardModules 2022-11-23T02:17:53.0057705Z [ OK ] ModuleListTest.SanityCheckForHoldingStandardModules (0 ms) 2022-11-23T02:17:53.0058207Z [ RUN ] ModuleListTest.ExtendPushesModulesFromOtherModuleList 2022-11-23T02:17:53.0058670Z [ OK ] ModuleListTest.ExtendPushesModulesFromOtherModuleList (0 ms) 2022-11-23T02:17:53.0059211Z [ RUN ] ModuleListTest.HasReferenceSemantics 2022-11-23T02:17:53.0059670Z [ OK ] ModuleListTest.HasReferenceSemantics (0 ms) 2022-11-23T02:17:53.0059997Z [ RUN ] ModuleListTest.IsCloneable 2022-11-23T02:17:53.0062506Z [ OK ] ModuleListTest.IsCloneable (0 ms) 2022-11-23T02:17:53.0062999Z [ RUN ] ModuleListTest.RegistersElementsAsSubmodules 2022-11-23T02:17:53.0063413Z [ OK ] ModuleListTest.RegistersElementsAsSubmodules (0 ms) 2022-11-23T02:17:53.0063841Z [ RUN ] ModuleListTest.NestingIsPossible 2022-11-23T02:17:53.0064380Z [ OK ] ModuleListTest.NestingIsPossible (0 ms) 2022-11-23T02:17:53.0064902Z [ RUN ] ModuleListTest.PrettyPrintModuleList 2022-11-23T02:17:53.0065577Z [ OK ] ModuleListTest.PrettyPrintModuleList (0 ms) 2022-11-23T02:17:53.0065971Z [ RUN ] ModuleListTest.RangeBasedForLoop 2022-11-23T02:17:53.0066308Z [ OK ] ModuleListTest.RangeBasedForLoop (0 ms) 2022-11-23T02:17:53.0066652Z [----------] 15 tests from ModuleListTest (5 ms total) 2022-11-23T02:17:53.0066807Z 2022-11-23T02:17:53.0066943Z [----------] 256 tests from ModulesTest 2022-11-23T02:17:53.0067204Z [ RUN ] ModulesTest.Conv1d 2022-11-23T02:17:53.0085843Z [ OK ] ModulesTest.Conv1d (2 ms) 2022-11-23T02:17:53.0086365Z [ RUN ] ModulesTest.Conv1dSameStrided 2022-11-23T02:17:53.0137648Z [ OK ] ModulesTest.Conv1dSameStrided (5 ms) 2022-11-23T02:17:53.0138203Z [ RUN ] ModulesTest.Conv2dEven 2022-11-23T02:17:53.0142606Z [ OK ] ModulesTest.Conv2dEven (0 ms) 2022-11-23T02:17:53.0143146Z [ RUN ] ModulesTest.Conv2dUneven 2022-11-23T02:17:53.0145929Z [ OK ] ModulesTest.Conv2dUneven (0 ms) 2022-11-23T02:17:53.0146490Z [ RUN ] ModulesTest.Conv2dSameStrided 2022-11-23T02:17:53.0193493Z [ OK ] ModulesTest.Conv2dSameStrided (4 ms) 2022-11-23T02:17:53.0194025Z [ RUN ] ModulesTest.Conv3d 2022-11-23T02:17:53.0199163Z [ OK ] ModulesTest.Conv3d (0 ms) 2022-11-23T02:17:53.0199712Z [ RUN ] ModulesTest.Conv3dSameStrided 2022-11-23T02:17:53.0259915Z [ OK ] ModulesTest.Conv3dSameStrided (6 ms) 2022-11-23T02:17:53.0260461Z [ RUN ] ModulesTest.ConvTranspose1d 2022-11-23T02:17:53.0264350Z [ OK ] ModulesTest.ConvTranspose1d (0 ms) 2022-11-23T02:17:53.0264701Z [ RUN ] ModulesTest.ConvTranspose2dEven 2022-11-23T02:17:53.0269059Z [ OK ] ModulesTest.ConvTranspose2dEven (0 ms) 2022-11-23T02:17:53.0269487Z [ RUN ] ModulesTest.ConvTranspose2dUneven 2022-11-23T02:17:53.0273894Z [ OK ] ModulesTest.ConvTranspose2dUneven (0 ms) 2022-11-23T02:17:53.0274208Z [ RUN ] ModulesTest.ConvTranspose3d 2022-11-23T02:17:53.0277644Z [ OK ] ModulesTest.ConvTranspose3d (0 ms) 2022-11-23T02:17:53.0277948Z [ RUN ] ModulesTest.MaxPool1d 2022-11-23T02:17:53.0291537Z [ OK ] ModulesTest.MaxPool1d (1 ms) 2022-11-23T02:17:53.0291876Z [ RUN ] ModulesTest.MaxPool1dReturnIndices 2022-11-23T02:17:53.0293628Z [ OK ] ModulesTest.MaxPool1dReturnIndices (0 ms) 2022-11-23T02:17:53.0293951Z [ RUN ] ModulesTest.MaxPool2dEven 2022-11-23T02:17:53.0295993Z [ OK ] ModulesTest.MaxPool2dEven (0 ms) 2022-11-23T02:17:53.0296305Z [ RUN ] ModulesTest.MaxPool2dUneven 2022-11-23T02:17:53.0298334Z [ OK ] ModulesTest.MaxPool2dUneven (0 ms) 2022-11-23T02:17:53.0299082Z [ RUN ] ModulesTest.MaxPool2dReturnIndices 2022-11-23T02:17:53.0299958Z [ OK ] ModulesTest.MaxPool2dReturnIndices (0 ms) 2022-11-23T02:17:53.0300403Z [ RUN ] ModulesTest.MaxPool3d 2022-11-23T02:17:53.0303212Z [ OK ] ModulesTest.MaxPool3d (0 ms) 2022-11-23T02:17:53.0303887Z [ RUN ] ModulesTest.MaxPool3dReturnIndices 2022-11-23T02:17:53.0305564Z [ OK ] ModulesTest.MaxPool3dReturnIndices (0 ms) 2022-11-23T02:17:53.0306079Z [ RUN ] ModulesTest.AvgPool1d 2022-11-23T02:17:53.0308083Z [ OK ] ModulesTest.AvgPool1d (0 ms) 2022-11-23T02:17:53.0308539Z [ RUN ] ModulesTest.AvgPool2dEven 2022-11-23T02:17:53.0309929Z [ OK ] ModulesTest.AvgPool2dEven (0 ms) 2022-11-23T02:17:53.0310420Z [ RUN ] ModulesTest.AvgPool2dUneven 2022-11-23T02:17:53.0311753Z [ OK ] ModulesTest.AvgPool2dUneven (0 ms) 2022-11-23T02:17:53.0312189Z [ RUN ] ModulesTest.AvgPool3d 2022-11-23T02:17:53.0314543Z [ OK ] ModulesTest.AvgPool3d (0 ms) 2022-11-23T02:17:53.0315043Z [ RUN ] ModulesTest.FractionalMaxPool2d 2022-11-23T02:17:53.0316794Z [ OK ] ModulesTest.FractionalMaxPool2d (0 ms) 2022-11-23T02:17:53.0317206Z [ RUN ] ModulesTest.FractionalMaxPool2dReturnIndices 2022-11-23T02:17:53.0318835Z [ OK ] ModulesTest.FractionalMaxPool2dReturnIndices (0 ms) 2022-11-23T02:17:53.0319217Z [ RUN ] ModulesTest.FractionalMaxPool3d 2022-11-23T02:17:53.0321128Z [ OK ] ModulesTest.FractionalMaxPool3d (0 ms) 2022-11-23T02:17:53.0321640Z [ RUN ] ModulesTest.FractionalMaxPool3dReturnIndices 2022-11-23T02:17:53.0323202Z [ OK ] ModulesTest.FractionalMaxPool3dReturnIndices (0 ms) 2022-11-23T02:17:53.0323603Z [ RUN ] ModulesTest.LPPool1d 2022-11-23T02:17:53.0325047Z [ OK ] ModulesTest.LPPool1d (0 ms) 2022-11-23T02:17:53.0325342Z [ RUN ] ModulesTest.LPPool2d 2022-11-23T02:17:53.0326751Z [ OK ] ModulesTest.LPPool2d (0 ms) 2022-11-23T02:17:53.0327105Z [ RUN ] ModulesTest.Identity 2022-11-23T02:17:53.0327782Z [ OK ] ModulesTest.Identity (0 ms) 2022-11-23T02:17:53.0328061Z [ RUN ] ModulesTest.Flatten 2022-11-23T02:17:53.0330949Z [ OK ] ModulesTest.Flatten (0 ms) 2022-11-23T02:17:53.0331343Z [ RUN ] ModulesTest.Unflatten 2022-11-23T02:17:53.0331880Z [W TensorImpl.h:1787] Warning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (function operator()) 2022-11-23T02:17:53.0332435Z [ OK ] ModulesTest.Unflatten (0 ms) 2022-11-23T02:17:53.0332730Z [ RUN ] ModulesTest.AdaptiveMaxPool1d 2022-11-23T02:17:53.0334003Z [ OK ] ModulesTest.AdaptiveMaxPool1d (0 ms) 2022-11-23T02:17:53.0334459Z [ RUN ] ModulesTest.AdaptiveMaxPool1dReturnIndices 2022-11-23T02:17:53.0335464Z [ OK ] ModulesTest.AdaptiveMaxPool1dReturnIndices (0 ms) 2022-11-23T02:17:53.0335824Z [ RUN ] ModulesTest.AdaptiveMaxPool2dEven 2022-11-23T02:17:53.0337567Z [ OK ] ModulesTest.AdaptiveMaxPool2dEven (0 ms) 2022-11-23T02:17:53.0337926Z [ RUN ] ModulesTest.AdaptiveMaxPool2dUneven 2022-11-23T02:17:53.0339435Z [ OK ] ModulesTest.AdaptiveMaxPool2dUneven (0 ms) 2022-11-23T02:17:53.0340070Z [ RUN ] ModulesTest.AdaptiveMaxPool2dReturnIndicesEven 2022-11-23T02:17:53.0343499Z [ OK ] ModulesTest.AdaptiveMaxPool2dReturnIndicesEven (0 ms) 2022-11-23T02:17:53.0344211Z [ RUN ] ModulesTest.AdaptiveMaxPool2dReturnIndicesUneven 2022-11-23T02:17:53.0347238Z [ OK ] ModulesTest.AdaptiveMaxPool2dReturnIndicesUneven (0 ms) 2022-11-23T02:17:53.0347848Z [ RUN ] ModulesTest.AdaptiveMaxPool3d 2022-11-23T02:17:53.0348839Z [ OK ] ModulesTest.AdaptiveMaxPool3d (0 ms) 2022-11-23T02:17:53.0349491Z [ RUN ] ModulesTest.AdaptiveMaxPool3dReturnIndices 2022-11-23T02:17:53.0352797Z [ OK ] ModulesTest.AdaptiveMaxPool3dReturnIndices (0 ms) 2022-11-23T02:17:53.0353556Z [ RUN ] ModulesTest.AdaptiveAvgPool1d 2022-11-23T02:17:53.0354677Z [ OK ] ModulesTest.AdaptiveAvgPool1d (0 ms) 2022-11-23T02:17:53.0355221Z [ RUN ] ModulesTest.AdaptiveAvgPool2dEven 2022-11-23T02:17:53.0357657Z [ OK ] ModulesTest.AdaptiveAvgPool2dEven (0 ms) 2022-11-23T02:17:53.0358231Z [ RUN ] ModulesTest.AdaptiveAvgPool2dUneven 2022-11-23T02:17:53.0360110Z [ OK ] ModulesTest.AdaptiveAvgPool2dUneven (0 ms) 2022-11-23T02:17:53.0360643Z [ RUN ] ModulesTest.AdaptiveAvgPool3d 2022-11-23T02:17:53.0362293Z [ OK ] ModulesTest.AdaptiveAvgPool3d (0 ms) 2022-11-23T02:17:53.0362952Z [ RUN ] ModulesTest.MaxUnpool1d 2022-11-23T02:17:53.0365579Z [ OK ] ModulesTest.MaxUnpool1d (0 ms) 2022-11-23T02:17:53.0366114Z [ RUN ] ModulesTest.MaxPool1d_MaxUnpool1d 2022-11-23T02:17:53.0369643Z [ OK ] ModulesTest.MaxPool1d_MaxUnpool1d (0 ms) 2022-11-23T02:17:53.0370162Z [ RUN ] ModulesTest.MaxUnpool2d 2022-11-23T02:17:53.0372461Z [ OK ] ModulesTest.MaxUnpool2d (0 ms) 2022-11-23T02:17:53.0372988Z [ RUN ] ModulesTest.MaxPool2d_MaxUnpool2d 2022-11-23T02:17:53.0376106Z [ OK ] ModulesTest.MaxPool2d_MaxUnpool2d (0 ms) 2022-11-23T02:17:53.0376647Z [ RUN ] ModulesTest.MaxUnpool3d 2022-11-23T02:17:53.0377607Z [ OK ] ModulesTest.MaxUnpool3d (0 ms) 2022-11-23T02:17:53.0377937Z [ RUN ] ModulesTest.MaxUnpool3dOutputSize 2022-11-23T02:17:53.0379784Z [ OK ] ModulesTest.MaxUnpool3dOutputSize (0 ms) 2022-11-23T02:17:53.0380114Z [ RUN ] ModulesTest.MaxPool3d_MaxUnpool3d 2022-11-23T02:17:53.1436555Z [ OK ] ModulesTest.MaxPool3d_MaxUnpool3d (105 ms) 2022-11-23T02:17:53.1436900Z [ RUN ] ModulesTest.Linear 2022-11-23T02:17:53.1440751Z [ OK ] ModulesTest.Linear (0 ms) 2022-11-23T02:17:53.1441196Z [ RUN ] ModulesTest.LocalResponseNorm 2022-11-23T02:17:53.1445700Z [ OK ] ModulesTest.LocalResponseNorm (0 ms) 2022-11-23T02:17:53.1446249Z [ RUN ] ModulesTest.LayerNorm 2022-11-23T02:17:53.1448756Z [ OK ] ModulesTest.LayerNorm (0 ms) 2022-11-23T02:17:53.1449303Z [ RUN ] ModulesTest.GroupNorm 2022-11-23T02:17:53.1452243Z [ OK ] ModulesTest.GroupNorm (0 ms) 2022-11-23T02:17:53.1452869Z [ RUN ] ModulesTest.Bilinear 2022-11-23T02:17:53.1457096Z [ OK ] ModulesTest.Bilinear (0 ms) 2022-11-23T02:17:53.1457399Z [ RUN ] ModulesTest.Fold 2022-11-23T02:17:53.1483503Z [ OK ] ModulesTest.Fold (2 ms) 2022-11-23T02:17:53.1483867Z [ RUN ] ModulesTest.Unfold 2022-11-23T02:17:53.1550278Z [ OK ] ModulesTest.Unfold (6 ms) 2022-11-23T02:17:53.1550625Z [ RUN ] ModulesTest.SimpleContainer 2022-11-23T02:17:53.1565341Z [ OK ] ModulesTest.SimpleContainer (1 ms) 2022-11-23T02:17:53.1565718Z [ RUN ] ModulesTest.EmbeddingBasic 2022-11-23T02:17:53.1566919Z [ OK ] ModulesTest.EmbeddingBasic (0 ms) 2022-11-23T02:17:53.1567300Z [ RUN ] ModulesTest.EmbeddingList 2022-11-23T02:17:53.1567902Z [ OK ] ModulesTest.EmbeddingList (0 ms) 2022-11-23T02:17:53.1568256Z [ RUN ] ModulesTest.EmbeddingFromPretrained 2022-11-23T02:17:53.1570203Z [ OK ] ModulesTest.EmbeddingFromPretrained (0 ms) 2022-11-23T02:17:53.1570653Z [ RUN ] ModulesTest.EmbeddingBagFromPretrained 2022-11-23T02:17:53.1572498Z [ OK ] ModulesTest.EmbeddingBagFromPretrained (0 ms) 2022-11-23T02:17:53.1572898Z [ RUN ] ModulesTest.AlphaDropout 2022-11-23T02:17:53.1573962Z [ OK ] ModulesTest.AlphaDropout (0 ms) 2022-11-23T02:17:53.1574495Z [ RUN ] ModulesTest.FeatureAlphaDropout 2022-11-23T02:17:53.1575795Z [ OK ] ModulesTest.FeatureAlphaDropout (0 ms) 2022-11-23T02:17:53.1576157Z [ RUN ] ModulesTest.Dropout 2022-11-23T02:17:53.1577263Z [ OK ] ModulesTest.Dropout (0 ms) 2022-11-23T02:17:53.1577593Z [ RUN ] ModulesTest.Dropout2d 2022-11-23T02:17:53.1583661Z [ OK ] ModulesTest.Dropout2d (0 ms) 2022-11-23T02:17:53.1583976Z [ RUN ] ModulesTest.Dropout3d 2022-11-23T02:17:53.1591469Z [ OK ] ModulesTest.Dropout3d (0 ms) 2022-11-23T02:17:53.1591905Z [ RUN ] ModulesTest.Parameters 2022-11-23T02:17:53.1592456Z [ OK ] ModulesTest.Parameters (0 ms) 2022-11-23T02:17:53.1593147Z [ RUN ] ModulesTest.FunctionalCallsSuppliedFunction 2022-11-23T02:17:53.1593570Z [ OK ] ModulesTest.FunctionalCallsSuppliedFunction (0 ms) 2022-11-23T02:17:53.1594168Z [ RUN ] ModulesTest.FunctionalWithTorchFunction 2022-11-23T02:17:53.1594750Z [ OK ] ModulesTest.FunctionalWithTorchFunction (0 ms) 2022-11-23T02:17:53.1595105Z [ RUN ] ModulesTest.FunctionalArgumentBinding 2022-11-23T02:17:53.1595470Z [ OK ] ModulesTest.FunctionalArgumentBinding (0 ms) 2022-11-23T02:17:53.1595811Z [ RUN ] ModulesTest.BatchNorm1dStateful 2022-11-23T02:17:53.1596129Z [ OK ] ModulesTest.BatchNorm1dStateful (0 ms) 2022-11-23T02:17:53.1596457Z [ RUN ] ModulesTest.BatchNorm1dStateless 2022-11-23T02:17:53.1596799Z [ OK ] ModulesTest.BatchNorm1dStateless (0 ms) 2022-11-23T02:17:53.1597233Z [ RUN ] ModulesTest.BatchNorm1d 2022-11-23T02:17:53.1597907Z [ OK ] ModulesTest.BatchNorm1d (0 ms) 2022-11-23T02:17:53.1598360Z [ RUN ] ModulesTest.BatchNorm2dStateful 2022-11-23T02:17:53.1598699Z [ OK ] ModulesTest.BatchNorm2dStateful (0 ms) 2022-11-23T02:17:53.1599014Z [ RUN ] ModulesTest.BatchNorm2dStateless 2022-11-23T02:17:53.1599352Z [ OK ] ModulesTest.BatchNorm2dStateless (0 ms) 2022-11-23T02:17:53.1599654Z [ RUN ] ModulesTest.BatchNorm2d 2022-11-23T02:17:53.1602629Z [ OK ] ModulesTest.BatchNorm2d (0 ms) 2022-11-23T02:17:53.1602999Z [ RUN ] ModulesTest.BatchNorm3dStateful 2022-11-23T02:17:53.1603391Z [ OK ] ModulesTest.BatchNorm3dStateful (0 ms) 2022-11-23T02:17:53.1603720Z [ RUN ] ModulesTest.BatchNorm3dStateless 2022-11-23T02:17:53.1604044Z [ OK ] ModulesTest.BatchNorm3dStateless (0 ms) 2022-11-23T02:17:53.1604345Z [ RUN ] ModulesTest.BatchNorm3d 2022-11-23T02:17:53.1608275Z [ OK ] ModulesTest.BatchNorm3d (0 ms) 2022-11-23T02:17:53.1608823Z [ RUN ] ModulesTest.InstanceNorm1dStateful 2022-11-23T02:17:53.1609300Z [ OK ] ModulesTest.InstanceNorm1dStateful (0 ms) 2022-11-23T02:17:53.1609644Z [ RUN ] ModulesTest.InstanceNorm1dStateless 2022-11-23T02:17:53.1609999Z [ OK ] ModulesTest.InstanceNorm1dStateless (0 ms) 2022-11-23T02:17:53.1610308Z [ RUN ] ModulesTest.InstanceNorm1d 2022-11-23T02:17:53.1612692Z [ OK ] ModulesTest.InstanceNorm1d (0 ms) 2022-11-23T02:17:53.1613279Z [ RUN ] ModulesTest.InstanceNorm2dStateful 2022-11-23T02:17:53.1613729Z [ OK ] ModulesTest.InstanceNorm2dStateful (0 ms) 2022-11-23T02:17:53.1614073Z [ RUN ] ModulesTest.InstanceNorm2dStateless 2022-11-23T02:17:53.1614423Z [ OK ] ModulesTest.InstanceNorm2dStateless (0 ms) 2022-11-23T02:17:53.1614746Z [ RUN ] ModulesTest.InstanceNorm2d 2022-11-23T02:17:53.1617239Z [ OK ] ModulesTest.InstanceNorm2d (0 ms) 2022-11-23T02:17:53.1618064Z [ RUN ] ModulesTest.InstanceNorm3dStateful 2022-11-23T02:17:53.1618466Z [ OK ] ModulesTest.InstanceNorm3dStateful (0 ms) 2022-11-23T02:17:53.1619021Z [ RUN ] ModulesTest.InstanceNorm3dStateless 2022-11-23T02:17:53.1619504Z [ OK ] ModulesTest.InstanceNorm3dStateless (0 ms) 2022-11-23T02:17:53.1619834Z [ RUN ] ModulesTest.InstanceNorm3d 2022-11-23T02:17:53.1622017Z [ OK ] ModulesTest.InstanceNorm3d (0 ms) 2022-11-23T02:17:53.1622361Z [ RUN ] ModulesTest.L1Loss 2022-11-23T02:17:53.1623644Z [ OK ] ModulesTest.L1Loss (0 ms) 2022-11-23T02:17:53.1623971Z [ RUN ] ModulesTest.MSELoss 2022-11-23T02:17:53.1624667Z [ OK ] ModulesTest.MSELoss (0 ms) 2022-11-23T02:17:53.1625057Z [ RUN ] ModulesTest.BCELoss 2022-11-23T02:17:53.1625849Z [ OK ] ModulesTest.BCELoss (0 ms) 2022-11-23T02:17:53.1626166Z [ RUN ] ModulesTest.KLDivLoss 2022-11-23T02:17:53.1626845Z [W loss.h:57] Warning: reduction: 'mean' divides the total loss by both the batch size and the support size.'batchmean' divides only by the batch size, and aligns with the KL div math definition.'mean' will be changed to behave the same as 'batchmean' in the next major release. (function kl_div) 2022-11-23T02:17:53.1627932Z [ OK ] ModulesTest.KLDivLoss (0 ms) 2022-11-23T02:17:53.1628261Z [ RUN ] ModulesTest.HingeEmbeddingLoss 2022-11-23T02:17:53.1630341Z [ OK ] ModulesTest.HingeEmbeddingLoss (0 ms) 2022-11-23T02:17:53.1630653Z [ RUN ] ModulesTest.MultiMarginLoss 2022-11-23T02:17:53.1632068Z [ OK ] ModulesTest.MultiMarginLoss (0 ms) 2022-11-23T02:17:53.1632395Z [ RUN ] ModulesTest.CosineEmbeddingLoss 2022-11-23T02:17:53.1636415Z [ OK ] ModulesTest.CosineEmbeddingLoss (0 ms) 2022-11-23T02:17:53.1637037Z [ RUN ] ModulesTest.SmoothL1LossDefaultOptions 2022-11-23T02:17:53.1637951Z [ OK ] ModulesTest.SmoothL1LossDefaultOptions (0 ms) 2022-11-23T02:17:53.1638607Z [ RUN ] ModulesTest.HuberLossDefaultOptions 2022-11-23T02:17:53.1639461Z [ OK ] ModulesTest.HuberLossDefaultOptions (0 ms) 2022-11-23T02:17:53.1640090Z [ RUN ] ModulesTest.MultiLabelMarginLossDefaultOptions 2022-11-23T02:17:53.1641102Z [ OK ] ModulesTest.MultiLabelMarginLossDefaultOptions (0 ms) 2022-11-23T02:17:53.1641697Z [ RUN ] ModulesTest.SmoothL1LossNoReduction 2022-11-23T02:17:53.1642368Z [ OK ] ModulesTest.SmoothL1LossNoReduction (0 ms) 2022-11-23T02:17:53.1642959Z [ RUN ] ModulesTest.HuberLossNoReduction 2022-11-23T02:17:53.1643771Z [ OK ] ModulesTest.HuberLossNoReduction (0 ms) 2022-11-23T02:17:53.1644398Z [ RUN ] ModulesTest.MultiLabelMarginLossNoReduction 2022-11-23T02:17:53.1645223Z [ OK ] ModulesTest.MultiLabelMarginLossNoReduction (0 ms) 2022-11-23T02:17:53.1645854Z [ RUN ] ModulesTest.SmoothL1LossBeta 2022-11-23T02:17:53.1646786Z [ OK ] ModulesTest.SmoothL1LossBeta (0 ms) 2022-11-23T02:17:53.1647355Z [ RUN ] ModulesTest.HuberLossDelta 2022-11-23T02:17:53.1648129Z [ OK ] ModulesTest.HuberLossDelta (0 ms) 2022-11-23T02:17:53.1648713Z [ RUN ] ModulesTest.TripletMarginLoss 2022-11-23T02:17:53.1651189Z [ OK ] ModulesTest.TripletMarginLoss (0 ms) 2022-11-23T02:17:53.1651858Z [ RUN ] ModulesTest.TripletMarginWithDistanceLossDefaultParity 2022-11-23T02:17:53.1807752Z [ OK ] ModulesTest.TripletMarginWithDistanceLossDefaultParity (15 ms) 2022-11-23T02:17:53.1808278Z [ RUN ] ModulesTest.TripletMarginWithDistanceLossFunctionalParity 2022-11-23T02:17:53.2085164Z [ OK ] ModulesTest.TripletMarginWithDistanceLossFunctionalParity (27 ms) 2022-11-23T02:17:53.2085568Z [ RUN ] ModulesTest.NLLLoss 2022-11-23T02:17:53.2087115Z [ OK ] ModulesTest.NLLLoss (0 ms) 2022-11-23T02:17:53.2087475Z [ RUN ] ModulesTest.CrossEntropyLoss 2022-11-23T02:17:53.2094235Z [ OK ] ModulesTest.CrossEntropyLoss (0 ms) 2022-11-23T02:17:53.2094572Z [ RUN ] ModulesTest.CosineSimilarity 2022-11-23T02:17:53.2096945Z [ OK ] ModulesTest.CosineSimilarity (0 ms) 2022-11-23T02:17:53.2097357Z [ RUN ] ModulesTest.SoftMarginLossDefaultOptions 2022-11-23T02:17:53.2099687Z [ OK ] ModulesTest.SoftMarginLossDefaultOptions (0 ms) 2022-11-23T02:17:53.2100245Z [ RUN ] ModulesTest.MultiLabelSoftMarginLossDefaultOptions 2022-11-23T02:17:53.2103600Z [ OK ] ModulesTest.MultiLabelSoftMarginLossDefaultOptions (0 ms) 2022-11-23T02:17:53.2104016Z [ RUN ] ModulesTest.SoftMarginLossNoReduction 2022-11-23T02:17:53.2105137Z [ OK ] ModulesTest.SoftMarginLossNoReduction (0 ms) 2022-11-23T02:17:53.2105574Z [ RUN ] ModulesTest.MultiLabelSoftMarginLossWeightedNoReduction 2022-11-23T02:17:53.2108733Z [ OK ] ModulesTest.MultiLabelSoftMarginLossWeightedNoReduction (0 ms) 2022-11-23T02:17:53.2109129Z [ RUN ] ModulesTest.PairwiseDistance 2022-11-23T02:17:53.2110582Z [ OK ] ModulesTest.PairwiseDistance (0 ms) 2022-11-23T02:17:53.2110866Z [ RUN ] ModulesTest.ELU 2022-11-23T02:17:53.2121266Z [ OK ] ModulesTest.ELU (1 ms) 2022-11-23T02:17:53.2121544Z [ RUN ] ModulesTest.SELU 2022-11-23T02:17:53.2124020Z [ OK ] ModulesTest.SELU (0 ms) 2022-11-23T02:17:53.2124286Z [ RUN ] ModulesTest.Hardshrink 2022-11-23T02:17:53.2131188Z [ OK ] ModulesTest.Hardshrink (0 ms) 2022-11-23T02:17:53.2131491Z [ RUN ] ModulesTest.Hardtanh 2022-11-23T02:17:53.2154619Z [ OK ] ModulesTest.Hardtanh (2 ms) 2022-11-23T02:17:53.2154943Z [ RUN ] ModulesTest.HardtanhMinValGEMaxVal 2022-11-23T02:17:53.2233644Z [ OK ] ModulesTest.HardtanhMinValGEMaxVal (7 ms) 2022-11-23T02:17:53.2233966Z [ RUN ] ModulesTest.LeakyReLU 2022-11-23T02:17:53.2244860Z [ OK ] ModulesTest.LeakyReLU (1 ms) 2022-11-23T02:17:53.2245170Z [ RUN ] ModulesTest.LogSigmoid 2022-11-23T02:17:53.2246833Z [ OK ] ModulesTest.LogSigmoid (0 ms) 2022-11-23T02:17:53.2247116Z [ RUN ] ModulesTest.Softmax 2022-11-23T02:17:53.2248575Z [ OK ] ModulesTest.Softmax (0 ms) 2022-11-23T02:17:53.2248903Z [ RUN ] ModulesTest.Softmin 2022-11-23T02:17:53.2250357Z [ OK ] ModulesTest.Softmin (0 ms) 2022-11-23T02:17:53.2250634Z [ RUN ] ModulesTest.LogSoftmax 2022-11-23T02:17:53.2251616Z [ OK ] ModulesTest.LogSoftmax (0 ms) 2022-11-23T02:17:53.2251967Z [ RUN ] ModulesTest.AdaptiveLogSoftmaxWithLoss 2022-11-23T02:17:53.2277038Z [ OK ] ModulesTest.AdaptiveLogSoftmaxWithLoss (2 ms) 2022-11-23T02:17:53.2277363Z [ RUN ] ModulesTest.Softmax2d 2022-11-23T02:17:53.2287282Z [ OK ] ModulesTest.Softmax2d (1 ms) 2022-11-23T02:17:53.2287574Z [ RUN ] ModulesTest.PReLU 2022-11-23T02:17:53.2291275Z [ OK ] ModulesTest.PReLU (0 ms) 2022-11-23T02:17:53.2291604Z [ RUN ] ModulesTest.ReLU 2022-11-23T02:17:53.2294484Z [ OK ] ModulesTest.ReLU (0 ms) 2022-11-23T02:17:53.2294795Z [ RUN ] ModulesTest.ReLU6 2022-11-23T02:17:53.2297132Z [ OK ] ModulesTest.ReLU6 (0 ms) 2022-11-23T02:17:53.2297396Z [ RUN ] ModulesTest.RReLU 2022-11-23T02:17:53.2332262Z [ OK ] ModulesTest.RReLU (3 ms) 2022-11-23T02:17:53.2332570Z [ RUN ] ModulesTest.CELU 2022-11-23T02:17:53.2341029Z [ OK ] ModulesTest.CELU (0 ms) 2022-11-23T02:17:53.2341357Z [ RUN ] ModulesTest.GLU 2022-11-23T02:17:53.2343772Z [ OK ] ModulesTest.GLU (0 ms) 2022-11-23T02:17:53.2344230Z [ RUN ] ModulesTest.GELU 2022-11-23T02:17:53.2347105Z [ OK ] ModulesTest.GELU (0 ms) 2022-11-23T02:17:53.2347778Z [ RUN ] ModulesTest.TanhGELU 2022-11-23T02:17:53.2348238Z [ OK ] ModulesTest.TanhGELU (0 ms) 2022-11-23T02:17:53.2348726Z [ RUN ] ModulesTest.Mish 2022-11-23T02:17:53.2349537Z [ OK ] ModulesTest.Mish (0 ms) 2022-11-23T02:17:53.2350041Z [ RUN ] ModulesTest.Sigmoid 2022-11-23T02:17:53.2350618Z [ OK ] ModulesTest.Sigmoid (0 ms) 2022-11-23T02:17:53.2351165Z [ RUN ] ModulesTest.PixelShuffle 2022-11-23T02:17:53.2352914Z [ OK ] ModulesTest.PixelShuffle (0 ms) 2022-11-23T02:17:53.2353298Z [ RUN ] ModulesTest.PixelUnshuffle 2022-11-23T02:17:53.2364003Z [ OK ] ModulesTest.PixelUnshuffle (0 ms) 2022-11-23T02:17:53.2364309Z [ RUN ] ModulesTest.Softplus 2022-11-23T02:17:53.2364594Z [ OK ] ModulesTest.Softplus (0 ms) 2022-11-23T02:17:53.2364872Z [ RUN ] ModulesTest.Softshrink 2022-11-23T02:17:53.2368634Z [ OK ] ModulesTest.Softshrink (0 ms) 2022-11-23T02:17:53.2369039Z [ RUN ] ModulesTest.Softsign 2022-11-23T02:17:53.2369839Z [ OK ] ModulesTest.Softsign (0 ms) 2022-11-23T02:17:53.2370223Z [ RUN ] ModulesTest.Tanh 2022-11-23T02:17:53.2370735Z [ OK ] ModulesTest.Tanh (0 ms) 2022-11-23T02:17:53.2371140Z [ RUN ] ModulesTest.Tanhshrink 2022-11-23T02:17:53.2371795Z [ OK ] ModulesTest.Tanhshrink (0 ms) 2022-11-23T02:17:53.2372077Z [ RUN ] ModulesTest.Threshold 2022-11-23T02:17:53.2384689Z [ OK ] ModulesTest.Threshold (1 ms) 2022-11-23T02:17:53.2385173Z [ RUN ] ModulesTest.Upsampling1D 2022-11-23T02:17:53.2386338Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T02:17:53.2388625Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T02:17:53.2390523Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T02:17:53.2391594Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T02:17:53.2393552Z [ OK ] ModulesTest.Upsampling1D (0 ms) 2022-11-23T02:17:53.2393997Z [ RUN ] ModulesTest.Upsampling2D 2022-11-23T02:17:53.2395568Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T02:17:53.2396940Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T02:17:53.2398370Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T02:17:53.2399543Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T02:17:53.2400693Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T02:17:53.2402159Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T02:17:53.2404706Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T02:17:53.2405735Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T02:17:53.2407820Z [ OK ] ModulesTest.Upsampling2D (1 ms) 2022-11-23T02:17:53.2408291Z [ RUN ] ModulesTest.Upsampling3D 2022-11-23T02:17:53.2409524Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T02:17:53.2410555Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T02:17:53.2412332Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T02:17:53.2413332Z [W upsampling.h:66] Warning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and uses scale_factor directly, instead of relying on the computed output size. If you wish to keep the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. (function _interp_output_size) 2022-11-23T02:17:53.2414686Z [ OK ] ModulesTest.Upsampling3D (0 ms) 2022-11-23T02:17:53.2415073Z [ RUN ] ModulesTest.CTCLoss 2022-11-23T02:17:53.2417952Z [ OK ] ModulesTest.CTCLoss (0 ms) 2022-11-23T02:17:53.2418354Z [ RUN ] ModulesTest.PoissonNLLLoss 2022-11-23T02:17:53.2420254Z [ OK ] ModulesTest.PoissonNLLLoss (0 ms) 2022-11-23T02:17:53.2420652Z [ RUN ] ModulesTest.MarginRankingLoss 2022-11-23T02:17:53.2423235Z [ OK ] ModulesTest.MarginRankingLoss (0 ms) 2022-11-23T02:17:53.2423651Z [ RUN ] ModulesTest.BCEWithLogitsLoss 2022-11-23T02:17:53.2482143Z [ OK ] ModulesTest.BCEWithLogitsLoss (5 ms) 2022-11-23T02:17:53.2482580Z [ RUN ] ModulesTest.MultiheadAttention 2022-11-23T02:18:02.0198762Z [ OK ] ModulesTest.MultiheadAttention (8771 ms) 2022-11-23T02:18:02.0199510Z [ RUN ] ModulesTest.PrettyPrintIdentity 2022-11-23T02:18:02.0199890Z [ OK ] ModulesTest.PrettyPrintIdentity (0 ms) 2022-11-23T02:18:02.0200348Z [ RUN ] ModulesTest.PrettyPrintFlatten 2022-11-23T02:18:02.0200873Z [ OK ] ModulesTest.PrettyPrintFlatten (0 ms) 2022-11-23T02:18:02.0201533Z [ RUN ] ModulesTest.PrettyPrintUnflatten 2022-11-23T02:18:02.0201938Z [ OK ] ModulesTest.PrettyPrintUnflatten (0 ms) 2022-11-23T02:18:02.0202264Z [ RUN ] ModulesTest.ReflectionPad1d 2022-11-23T02:18:02.0202577Z [ OK ] ModulesTest.ReflectionPad1d (0 ms) 2022-11-23T02:18:02.0203000Z [ RUN ] ModulesTest.ReflectionPad2d 2022-11-23T02:18:02.0203615Z [ OK ] ModulesTest.ReflectionPad2d (0 ms) 2022-11-23T02:18:02.0204147Z [ RUN ] ModulesTest.ReflectionPad3d 2022-11-23T02:18:02.0206805Z [ OK ] ModulesTest.ReflectionPad3d (0 ms) 2022-11-23T02:18:02.0207395Z [ RUN ] ModulesTest.ReplicationPad1d 2022-11-23T02:18:02.0209189Z [ OK ] ModulesTest.ReplicationPad1d (0 ms) 2022-11-23T02:18:02.0209777Z [ RUN ] ModulesTest.ReplicationPad2d 2022-11-23T02:18:02.0211713Z [ OK ] ModulesTest.ReplicationPad2d (0 ms) 2022-11-23T02:18:02.0212424Z [ RUN ] ModulesTest.ReplicationPad3d 2022-11-23T02:18:02.0215472Z [ OK ] ModulesTest.ReplicationPad3d (0 ms) 2022-11-23T02:18:02.0216040Z [ RUN ] ModulesTest.ZeroPad2d 2022-11-23T02:18:02.0217939Z [ OK ] ModulesTest.ZeroPad2d (0 ms) 2022-11-23T02:18:02.0218509Z [ RUN ] ModulesTest.ConstantPad1d 2022-11-23T02:18:02.0219694Z [ OK ] ModulesTest.ConstantPad1d (0 ms) 2022-11-23T02:18:02.0220274Z [ RUN ] ModulesTest.ConstantPad2d 2022-11-23T02:18:02.0222521Z [ OK ] ModulesTest.ConstantPad2d (0 ms) 2022-11-23T02:18:02.0222859Z [ RUN ] ModulesTest.ConstantPad3d 2022-11-23T02:18:02.0226029Z [ OK ] ModulesTest.ConstantPad3d (0 ms) 2022-11-23T02:18:02.0226363Z [ RUN ] ModulesTest.CrossMapLRN2d 2022-11-23T02:18:02.0232905Z [ OK ] ModulesTest.CrossMapLRN2d (0 ms) 2022-11-23T02:18:02.0233211Z [ RUN ] ModulesTest.RNNCell 2022-11-23T02:18:02.0236032Z [ OK ] ModulesTest.RNNCell (0 ms) 2022-11-23T02:18:02.0236318Z [ RUN ] ModulesTest.LSTMCell 2022-11-23T02:18:02.0240493Z [ OK ] ModulesTest.LSTMCell (0 ms) 2022-11-23T02:18:02.0240773Z [ RUN ] ModulesTest.GRUCell 2022-11-23T02:18:02.0244844Z [ OK ] ModulesTest.GRUCell (0 ms) 2022-11-23T02:18:02.0245421Z [ RUN ] ModulesTest.PrettyPrintLinear 2022-11-23T02:18:02.0245952Z [ OK ] ModulesTest.PrettyPrintLinear (0 ms) 2022-11-23T02:18:02.0246290Z [ RUN ] ModulesTest.PrettyPrintBilinear 2022-11-23T02:18:02.0246632Z [ OK ] ModulesTest.PrettyPrintBilinear (0 ms) 2022-11-23T02:18:02.0247286Z [ RUN ] ModulesTest.PrettyPrintConv 2022-11-23T02:18:02.0247861Z [ OK ] ModulesTest.PrettyPrintConv (0 ms) 2022-11-23T02:18:02.0248398Z [ RUN ] ModulesTest.PrettyPrintConvTranspose 2022-11-23T02:18:02.0249275Z [ OK ] ModulesTest.PrettyPrintConvTranspose (0 ms) 2022-11-23T02:18:02.0249906Z [ RUN ] ModulesTest.PrettyPrintUpsample 2022-11-23T02:18:02.0250531Z [ OK ] ModulesTest.PrettyPrintUpsample (0 ms) 2022-11-23T02:18:02.0251049Z [ RUN ] ModulesTest.PrettyPrintFold 2022-11-23T02:18:02.0251502Z [ OK ] ModulesTest.PrettyPrintFold (0 ms) 2022-11-23T02:18:02.0251945Z [ RUN ] ModulesTest.PrettyPrintUnfold 2022-11-23T02:18:02.0252392Z [ OK ] ModulesTest.PrettyPrintUnfold (0 ms) 2022-11-23T02:18:02.0252904Z [ RUN ] ModulesTest.PrettyPrintMaxPool 2022-11-23T02:18:02.0253450Z [ OK ] ModulesTest.PrettyPrintMaxPool (0 ms) 2022-11-23T02:18:02.0254004Z [ RUN ] ModulesTest.PrettyPrintAvgPool 2022-11-23T02:18:02.0254599Z [ OK ] ModulesTest.PrettyPrintAvgPool (0 ms) 2022-11-23T02:18:02.0255109Z [ RUN ] ModulesTest.PrettyPrinFractionalMaxPool 2022-11-23T02:18:02.0255646Z [ OK ] ModulesTest.PrettyPrinFractionalMaxPool (0 ms) 2022-11-23T02:18:02.0256219Z [ RUN ] ModulesTest.PrettyPrintLPPool 2022-11-23T02:18:02.0256805Z [ OK ] ModulesTest.PrettyPrintLPPool (0 ms) 2022-11-23T02:18:02.0257376Z [ RUN ] ModulesTest.PrettyPrintAdaptiveMaxPool 2022-11-23T02:18:02.0258041Z [ OK ] ModulesTest.PrettyPrintAdaptiveMaxPool (0 ms) 2022-11-23T02:18:02.0258708Z [ RUN ] ModulesTest.PrettyPrintAdaptiveAvgPool 2022-11-23T02:18:02.0259473Z [ OK ] ModulesTest.PrettyPrintAdaptiveAvgPool (0 ms) 2022-11-23T02:18:02.0260029Z [ RUN ] ModulesTest.PrettyPrintMaxUnpool 2022-11-23T02:18:02.0260559Z [ OK ] ModulesTest.PrettyPrintMaxUnpool (0 ms) 2022-11-23T02:18:02.0261083Z [ RUN ] ModulesTest.PrettyPrintDropout 2022-11-23T02:18:02.0261693Z [ OK ] ModulesTest.PrettyPrintDropout (0 ms) 2022-11-23T02:18:02.0262317Z [ RUN ] ModulesTest.PrettyPrintDropout2d 2022-11-23T02:18:02.0262894Z [ OK ] ModulesTest.PrettyPrintDropout2d (0 ms) 2022-11-23T02:18:02.0263519Z [ RUN ] ModulesTest.PrettyPrintDropout3d 2022-11-23T02:18:02.0264109Z [ OK ] ModulesTest.PrettyPrintDropout3d (0 ms) 2022-11-23T02:18:02.0264574Z [ RUN ] ModulesTest.PrettyPrintFunctional 2022-11-23T02:18:02.0265109Z [ OK ] ModulesTest.PrettyPrintFunctional (0 ms) 2022-11-23T02:18:02.0265600Z [ RUN ] ModulesTest.PrettyPrintBatchNorm1d 2022-11-23T02:18:02.0266242Z [ OK ] ModulesTest.PrettyPrintBatchNorm1d (0 ms) 2022-11-23T02:18:02.0266842Z [ RUN ] ModulesTest.PrettyPrintBatchNorm2d 2022-11-23T02:18:02.0267309Z [ OK ] ModulesTest.PrettyPrintBatchNorm2d (0 ms) 2022-11-23T02:18:02.0267660Z [ RUN ] ModulesTest.PrettyPrintBatchNorm3d 2022-11-23T02:18:02.0268094Z [ OK ] ModulesTest.PrettyPrintBatchNorm3d (0 ms) 2022-11-23T02:18:02.0275489Z [ RUN ] ModulesTest.PrettyPrintInstanceNorm1d 2022-11-23T02:18:02.0276273Z [ OK ] ModulesTest.PrettyPrintInstanceNorm1d (0 ms) 2022-11-23T02:18:02.0277062Z [ RUN ] ModulesTest.PrettyPrintInstanceNorm2d 2022-11-23T02:18:02.0277851Z [ OK ] ModulesTest.PrettyPrintInstanceNorm2d (0 ms) 2022-11-23T02:18:02.0278611Z [ RUN ] ModulesTest.PrettyPrintInstanceNorm3d 2022-11-23T02:18:02.0279398Z [ OK ] ModulesTest.PrettyPrintInstanceNorm3d (0 ms) 2022-11-23T02:18:02.0280145Z [ RUN ] ModulesTest.PrettyPrintLayerNorm 2022-11-23T02:18:02.0280876Z [ OK ] ModulesTest.PrettyPrintLayerNorm (0 ms) 2022-11-23T02:18:02.0281571Z [ RUN ] ModulesTest.PrettyPrintGroupNorm 2022-11-23T02:18:02.0282303Z [ OK ] ModulesTest.PrettyPrintGroupNorm (0 ms) 2022-11-23T02:18:02.0283073Z [ RUN ] ModulesTest.PrettyPrintLocalResponseNorm 2022-11-23T02:18:02.0283891Z [ OK ] ModulesTest.PrettyPrintLocalResponseNorm (0 ms) 2022-11-23T02:18:02.0284727Z [ RUN ] ModulesTest.PrettyPrintEmbedding 2022-11-23T02:18:02.0285448Z [ OK ] ModulesTest.PrettyPrintEmbedding (0 ms) 2022-11-23T02:18:02.0286185Z [ RUN ] ModulesTest.PrettyPrintEmbeddingBag 2022-11-23T02:18:02.0286948Z [ OK ] ModulesTest.PrettyPrintEmbeddingBag (0 ms) 2022-11-23T02:18:02.0287649Z [ RUN ] ModulesTest.PrettyPrintL1Loss 2022-11-23T02:18:02.0288347Z [ OK ] ModulesTest.PrettyPrintL1Loss (0 ms) 2022-11-23T02:18:02.0289049Z [ RUN ] ModulesTest.PrettyPrintKLDivLoss 2022-11-23T02:18:02.0289759Z [ OK ] ModulesTest.PrettyPrintKLDivLoss (0 ms) 2022-11-23T02:18:02.0290459Z [ RUN ] ModulesTest.PrettyPrintMSELoss 2022-11-23T02:18:02.0291163Z [ OK ] ModulesTest.PrettyPrintMSELoss (0 ms) 2022-11-23T02:18:02.0291855Z [ RUN ] ModulesTest.PrettyPrintBCELoss 2022-11-23T02:18:02.0292552Z [ OK ] ModulesTest.PrettyPrintBCELoss (0 ms) 2022-11-23T02:18:02.0293328Z [ RUN ] ModulesTest.PrettyPrintHingeEmbeddingLoss 2022-11-23T02:18:02.0294166Z [ OK ] ModulesTest.PrettyPrintHingeEmbeddingLoss (0 ms) 2022-11-23T02:18:02.0294995Z [ RUN ] ModulesTest.PrettyPrintCosineEmbeddingLoss 2022-11-23T02:18:02.0295859Z [ OK ] ModulesTest.PrettyPrintCosineEmbeddingLoss (0 ms) 2022-11-23T02:18:02.0296692Z [ RUN ] ModulesTest.PrettyPrintTripletMarginLoss 2022-11-23T02:18:02.0297517Z [ OK ] ModulesTest.PrettyPrintTripletMarginLoss (0 ms) 2022-11-23T02:18:02.0298433Z [ RUN ] ModulesTest.PrettyPrintTripletMarginWithDistanceLoss 2022-11-23T02:18:02.0299539Z [ OK ] ModulesTest.PrettyPrintTripletMarginWithDistanceLoss (0 ms) 2022-11-23T02:18:02.0300594Z [ RUN ] ModulesTest.PrettyPrintNLLLoss 2022-11-23T02:18:02.0301123Z [ OK ] ModulesTest.PrettyPrintNLLLoss (0 ms) 2022-11-23T02:18:02.0301769Z [ RUN ] ModulesTest.PrettyPrinCrossEntropyLoss 2022-11-23T02:18:02.0302458Z [ OK ] ModulesTest.PrettyPrinCrossEntropyLoss (0 ms) 2022-11-23T02:18:02.0303141Z [ RUN ] ModulesTest.PrettyPrintMultiLabelMarginLoss 2022-11-23T02:18:02.0303887Z [ OK ] ModulesTest.PrettyPrintMultiLabelMarginLoss (0 ms) 2022-11-23T02:18:02.0304534Z [ RUN ] ModulesTest.PrettyPrintMultiLabelSoftMarginLoss 2022-11-23T02:18:02.0305321Z [ OK ] ModulesTest.PrettyPrintMultiLabelSoftMarginLoss (0 ms) 2022-11-23T02:18:02.0305726Z [ RUN ] ModulesTest.PrettyPrintSoftMarginLoss 2022-11-23T02:18:02.0306095Z [ OK ] ModulesTest.PrettyPrintSoftMarginLoss (0 ms) 2022-11-23T02:18:02.0306461Z [ RUN ] ModulesTest.PrettyPrintCosineSimilarity 2022-11-23T02:18:02.0306829Z [ OK ] ModulesTest.PrettyPrintCosineSimilarity (0 ms) 2022-11-23T02:18:02.0307419Z [ RUN ] ModulesTest.PrettyPrintPairwiseDistance 2022-11-23T02:18:02.0307801Z [ OK ] ModulesTest.PrettyPrintPairwiseDistance (0 ms) 2022-11-23T02:18:02.0308156Z [ RUN ] ModulesTest.PrettyPrintReflectionPad 2022-11-23T02:18:02.0308517Z [ OK ] ModulesTest.PrettyPrintReflectionPad (0 ms) 2022-11-23T02:18:02.0308876Z [ RUN ] ModulesTest.PrettyPrintReplicationPad 2022-11-23T02:18:02.0309307Z [ OK ] ModulesTest.PrettyPrintReplicationPad (0 ms) 2022-11-23T02:18:02.0309648Z [ RUN ] ModulesTest.PrettyPrintZeroPad2d 2022-11-23T02:18:02.0309989Z [ OK ] ModulesTest.PrettyPrintZeroPad2d (0 ms) 2022-11-23T02:18:02.0310326Z [ RUN ] ModulesTest.PrettyPrintConstantPad 2022-11-23T02:18:02.0310778Z [ OK ] ModulesTest.PrettyPrintConstantPad (0 ms) 2022-11-23T02:18:02.0311203Z [ RUN ] ModulesTest.PrettyPrintNestedModel 2022-11-23T02:18:02.0311752Z [ OK ] ModulesTest.PrettyPrintNestedModel (0 ms) 2022-11-23T02:18:02.0312268Z [ RUN ] ModulesTest.PrettyPrintELU 2022-11-23T02:18:02.0312762Z [ OK ] ModulesTest.PrettyPrintELU (0 ms) 2022-11-23T02:18:02.0313260Z [ RUN ] ModulesTest.PrettyPrintSELU 2022-11-23T02:18:02.0313772Z [ OK ] ModulesTest.PrettyPrintSELU (0 ms) 2022-11-23T02:18:02.0314268Z [ RUN ] ModulesTest.PrettyPrintGLU 2022-11-23T02:18:02.0314808Z [ OK ] ModulesTest.PrettyPrintGLU (0 ms) 2022-11-23T02:18:02.0315379Z [ RUN ] ModulesTest.PrettyPrintHardshrink 2022-11-23T02:18:02.0315959Z [ OK ] ModulesTest.PrettyPrintHardshrink (0 ms) 2022-11-23T02:18:02.0316569Z [ RUN ] ModulesTest.PrettyPrintHardtanh 2022-11-23T02:18:02.0317176Z [ OK ] ModulesTest.PrettyPrintHardtanh (0 ms) 2022-11-23T02:18:02.0317750Z [ RUN ] ModulesTest.PrettyPrintLeakyReLU 2022-11-23T02:18:02.0318107Z [ OK ] ModulesTest.PrettyPrintLeakyReLU (0 ms) 2022-11-23T02:18:02.0318443Z [ RUN ] ModulesTest.PrettyPrintLogSigmoid 2022-11-23T02:18:02.0318785Z [ OK ] ModulesTest.PrettyPrintLogSigmoid (0 ms) 2022-11-23T02:18:02.0319101Z [ RUN ] ModulesTest.PrettyPrintSoftmax 2022-11-23T02:18:02.0319428Z [ OK ] ModulesTest.PrettyPrintSoftmax (0 ms) 2022-11-23T02:18:02.0319747Z [ RUN ] ModulesTest.PrettyPrintSoftmin 2022-11-23T02:18:02.0320059Z [ OK ] ModulesTest.PrettyPrintSoftmin (0 ms) 2022-11-23T02:18:02.0320392Z [ RUN ] ModulesTest.PrettyPrintLogSoftmax 2022-11-23T02:18:02.0320733Z [ OK ] ModulesTest.PrettyPrintLogSoftmax (0 ms) 2022-11-23T02:18:02.0321055Z [ RUN ] ModulesTest.PrettyPrintSoftmax2d 2022-11-23T02:18:02.0321390Z [ OK ] ModulesTest.PrettyPrintSoftmax2d (0 ms) 2022-11-23T02:18:02.0321711Z [ RUN ] ModulesTest.PrettyPrintPReLU 2022-11-23T02:18:02.0322023Z [ OK ] ModulesTest.PrettyPrintPReLU (0 ms) 2022-11-23T02:18:02.0322329Z [ RUN ] ModulesTest.PrettyPrintReLU 2022-11-23T02:18:02.0322640Z [ OK ] ModulesTest.PrettyPrintReLU (0 ms) 2022-11-23T02:18:02.0322950Z [ RUN ] ModulesTest.PrettyPrintReLU6 2022-11-23T02:18:02.0323254Z [ OK ] ModulesTest.PrettyPrintReLU6 (0 ms) 2022-11-23T02:18:02.0323561Z [ RUN ] ModulesTest.PrettyPrintRReLU 2022-11-23T02:18:02.0323876Z [ OK ] ModulesTest.PrettyPrintRReLU (0 ms) 2022-11-23T02:18:02.0324170Z [ RUN ] ModulesTest.PrettyPrintCELU 2022-11-23T02:18:02.0324482Z [ OK ] ModulesTest.PrettyPrintCELU (0 ms) 2022-11-23T02:18:02.0324795Z [ RUN ] ModulesTest.PrettyPrintSigmoid 2022-11-23T02:18:02.0325111Z [ OK ] ModulesTest.PrettyPrintSigmoid (0 ms) 2022-11-23T02:18:02.0325447Z [ RUN ] ModulesTest.PrettyPrintPixelShuffle 2022-11-23T02:18:02.0325944Z [ OK ] ModulesTest.PrettyPrintPixelShuffle (0 ms) 2022-11-23T02:18:02.0326301Z [ RUN ] ModulesTest.PrettyPrintPixelUnshuffle 2022-11-23T02:18:02.0326709Z [ OK ] ModulesTest.PrettyPrintPixelUnshuffle (0 ms) 2022-11-23T02:18:02.0327041Z [ RUN ] ModulesTest.PrettyPrintSoftplus 2022-11-23T02:18:02.0327375Z [ OK ] ModulesTest.PrettyPrintSoftplus (0 ms) 2022-11-23T02:18:02.0327709Z [ RUN ] ModulesTest.PrettyPrintSoftshrink 2022-11-23T02:18:02.0328042Z [ OK ] ModulesTest.PrettyPrintSoftshrink (0 ms) 2022-11-23T02:18:02.0328371Z [ RUN ] ModulesTest.PrettyPrintSoftsign 2022-11-23T02:18:02.0328700Z [ OK ] ModulesTest.PrettyPrintSoftsign (0 ms) 2022-11-23T02:18:02.0328999Z [ RUN ] ModulesTest.PrettyPrintTanh 2022-11-23T02:18:02.0329310Z [ OK ] ModulesTest.PrettyPrintTanh (0 ms) 2022-11-23T02:18:02.0329636Z [ RUN ] ModulesTest.PrettyPrintTanhshrink 2022-11-23T02:18:02.0329980Z [ OK ] ModulesTest.PrettyPrintTanhshrink (0 ms) 2022-11-23T02:18:02.0330300Z [ RUN ] ModulesTest.PrettyPrintThreshold 2022-11-23T02:18:02.0330635Z [ OK ] ModulesTest.PrettyPrintThreshold (0 ms) 2022-11-23T02:18:02.0330959Z [ RUN ] ModulesTest.PrettyPrintCTCLoss 2022-11-23T02:18:02.0331273Z [ OK ] ModulesTest.PrettyPrintCTCLoss (0 ms) 2022-11-23T02:18:02.0331615Z [ RUN ] ModulesTest.PrettyPrintPoissonNLLLoss 2022-11-23T02:18:02.0331976Z [ OK ] ModulesTest.PrettyPrintPoissonNLLLoss (0 ms) 2022-11-23T02:18:02.0332334Z [ RUN ] ModulesTest.PrettyPrintMarginRankingLoss 2022-11-23T02:18:02.0332712Z [ OK ] ModulesTest.PrettyPrintMarginRankingLoss (0 ms) 2022-11-23T02:18:02.0333078Z [ RUN ] ModulesTest.PrettyPrintCrossMapLRN2d 2022-11-23T02:18:02.0333443Z [ OK ] ModulesTest.PrettyPrintCrossMapLRN2d (0 ms) 2022-11-23T02:18:02.0333788Z [ RUN ] ModulesTest.PrettyPrintAlphaDropout 2022-11-23T02:18:02.0334141Z [ OK ] ModulesTest.PrettyPrintAlphaDropout (0 ms) 2022-11-23T02:18:02.0334511Z [ RUN ] ModulesTest.PrettyPrintFeatureAlphaDropout 2022-11-23T02:18:02.0334895Z [ OK ] ModulesTest.PrettyPrintFeatureAlphaDropout (0 ms) 2022-11-23T02:18:02.0335278Z [ RUN ] ModulesTest.PrettyPrintBCEWithLogitsLoss 2022-11-23T02:18:02.0335658Z [ OK ] ModulesTest.PrettyPrintBCEWithLogitsLoss (0 ms) 2022-11-23T02:18:02.0336026Z [ RUN ] ModulesTest.PrettyPrintMultiheadAttention 2022-11-23T02:18:02.0336417Z [ OK ] ModulesTest.PrettyPrintMultiheadAttention (0 ms) 2022-11-23T02:18:02.0336768Z [ RUN ] ModulesTest.PrettyPrintRNNCell 2022-11-23T02:18:02.0337095Z [ OK ] ModulesTest.PrettyPrintRNNCell (0 ms) 2022-11-23T02:18:02.0337411Z [ RUN ] ModulesTest.PrettyPrintLSTMCell 2022-11-23T02:18:02.0337747Z [ OK ] ModulesTest.PrettyPrintLSTMCell (0 ms) 2022-11-23T02:18:02.0338068Z [ RUN ] ModulesTest.PrettyPrintGRUCell 2022-11-23T02:18:02.0338381Z [ OK ] ModulesTest.PrettyPrintGRUCell (0 ms) 2022-11-23T02:18:02.0339031Z [ RUN ] ModulesTest.PrettyPrintAdaptiveLogSoftmaxWithLoss 2022-11-23T02:18:02.0339493Z [ OK ] ModulesTest.PrettyPrintAdaptiveLogSoftmaxWithLoss (0 ms) 2022-11-23T02:18:02.0339876Z [----------] 256 tests from ModulesTest (9020 ms total) 2022-11-23T02:18:02.0340031Z 2022-11-23T02:18:02.0340170Z [----------] 1 test from NestedTest 2022-11-23T02:18:02.0340429Z [ RUN ] NestedTest.Nested 2022-11-23T02:18:02.0340787Z [W NestedTensorImpl.cpp:179] Warning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. (function operator()) 2022-11-23T02:18:02.0341162Z [ OK ] NestedTest.Nested (1 ms) 2022-11-23T02:18:02.0341628Z [----------] 1 test from NestedTest (1 ms total) 2022-11-23T02:18:02.0341777Z 2022-11-23T02:18:02.0341938Z [----------] 10 tests from ParameterDictTest 2022-11-23T02:18:02.0342252Z [ RUN ] ParameterDictTest.ConstructFromTensor 2022-11-23T02:18:02.0342618Z [ OK ] ParameterDictTest.ConstructFromTensor (0 ms) 2022-11-23T02:18:02.0342991Z [ RUN ] ParameterDictTest.ConstructFromOrderedDict 2022-11-23T02:18:02.0343381Z [ OK ] ParameterDictTest.ConstructFromOrderedDict (0 ms) 2022-11-23T02:18:02.0343737Z [ RUN ] ParameterDictTest.InsertAndContains 2022-11-23T02:18:02.0344085Z [ OK ] ParameterDictTest.InsertAndContains (0 ms) 2022-11-23T02:18:02.0344420Z [ RUN ] ParameterDictTest.InsertAndClear 2022-11-23T02:18:02.0344747Z [ OK ] ParameterDictTest.InsertAndClear (0 ms) 2022-11-23T02:18:02.0345073Z [ RUN ] ParameterDictTest.InsertAndPop 2022-11-23T02:18:02.0345407Z [ OK ] ParameterDictTest.InsertAndPop (1 ms) 2022-11-23T02:18:02.0345715Z [ RUN ] ParameterDictTest.SimpleUpdate 2022-11-23T02:18:02.0346040Z [ OK ] ParameterDictTest.SimpleUpdate (1 ms) 2022-11-23T02:18:02.0346335Z [ RUN ] ParameterDictTest.Keys 2022-11-23T02:18:02.0346622Z [ OK ] ParameterDictTest.Keys (0 ms) 2022-11-23T02:18:02.0346898Z [ RUN ] ParameterDictTest.Values 2022-11-23T02:18:02.0347194Z [ OK ] ParameterDictTest.Values (0 ms) 2022-11-23T02:18:02.0347477Z [ RUN ] ParameterDictTest.Get 2022-11-23T02:18:02.0347750Z [ OK ] ParameterDictTest.Get (0 ms) 2022-11-23T02:18:02.0348090Z [ RUN ] ParameterDictTest.PrettyPrintParameterDict 2022-11-23T02:18:02.0348486Z [ OK ] ParameterDictTest.PrettyPrintParameterDict (0 ms) 2022-11-23T02:18:02.0348851Z [----------] 10 tests from ParameterDictTest (3 ms total) 2022-11-23T02:18:02.0349016Z 2022-11-23T02:18:02.0349264Z [----------] 8 tests from ParameterListTest 2022-11-23T02:18:02.0349624Z [ RUN ] ParameterListTest.ConstructsFromSharedPointer 2022-11-23T02:18:02.0350095Z [ OK ] ParameterListTest.ConstructsFromSharedPointer (0 ms) 2022-11-23T02:18:02.0350519Z [ RUN ] ParameterListTest.isEmpty 2022-11-23T02:18:02.0350929Z [ OK ] ParameterListTest.isEmpty (0 ms) 2022-11-23T02:18:02.0351471Z [ RUN ] ParameterListTest.PushBackAddsAnElement 2022-11-23T02:18:02.0352073Z [ OK ] ParameterListTest.PushBackAddsAnElement (0 ms) 2022-11-23T02:18:02.0352582Z [ RUN ] ParameterListTest.ForEachLoop 2022-11-23T02:18:02.0352963Z [ OK ] ParameterListTest.ForEachLoop (0 ms) 2022-11-23T02:18:02.0353446Z [ RUN ] ParameterListTest.AccessWithAt 2022-11-23T02:18:02.0353812Z [ OK ] ParameterListTest.AccessWithAt (3 ms) 2022-11-23T02:18:02.0354380Z [ RUN ] ParameterListTest.ExtendPushesParametersFromOtherParameterList 2022-11-23T02:18:02.0355215Z [ OK ] ParameterListTest.ExtendPushesParametersFromOtherParameterList (0 ms) 2022-11-23T02:18:02.0355663Z [ RUN ] ParameterListTest.PrettyPrintParameterList 2022-11-23T02:18:02.0356058Z [ OK ] ParameterListTest.PrettyPrintParameterList (0 ms) 2022-11-23T02:18:02.0356411Z [ RUN ] ParameterListTest.IncrementAdd 2022-11-23T02:18:02.0356745Z [ OK ] ParameterListTest.IncrementAdd (0 ms) 2022-11-23T02:18:02.0357077Z [----------] 8 tests from ParameterListTest (4 ms total) 2022-11-23T02:18:02.0357238Z 2022-11-23T02:18:02.0357388Z [----------] 1 test from NamespaceTests 2022-11-23T02:18:02.0357782Z [ RUN ] NamespaceTests.NotLeakingSymbolsFromTorchAutogradNamespace 2022-11-23T02:18:02.0358347Z [ OK ] NamespaceTests.NotLeakingSymbolsFromTorchAutogradNamespace (0 ms) 2022-11-23T02:18:02.0358802Z [----------] 1 test from NamespaceTests (0 ms total) 2022-11-23T02:18:02.0358955Z 2022-11-23T02:18:02.0359096Z [----------] 7 tests from NNUtilsTest 2022-11-23T02:18:02.0359370Z [ RUN ] NNUtilsTest.ClipGradNorm 2022-11-23T02:18:02.0373209Z [ OK ] NNUtilsTest.ClipGradNorm (1 ms) 2022-11-23T02:18:02.0373552Z [ RUN ] NNUtilsTest.ClipGradNormErrorIfNonfinite 2022-11-23T02:18:02.2275178Z [ OK ] NNUtilsTest.ClipGradNormErrorIfNonfinite (189 ms) 2022-11-23T02:18:02.2275610Z [ RUN ] NNUtilsTest.ClipGradValue 2022-11-23T02:18:02.2277519Z [ OK ] NNUtilsTest.ClipGradValue (0 ms) 2022-11-23T02:18:02.2277888Z [ RUN ] NNUtilsTest.ConvertParameters 2022-11-23T02:18:02.2282869Z [ OK ] NNUtilsTest.ConvertParameters (0 ms) 2022-11-23T02:18:02.2283225Z [ RUN ] NNUtilsTest.PackSequence 2022-11-23T02:18:02.2780353Z [ OK ] NNUtilsTest.PackSequence (49 ms) 2022-11-23T02:18:02.2780843Z [ RUN ] NNUtilsTest.PackPaddedSequence 2022-11-23T02:18:02.3003923Z [ OK ] NNUtilsTest.PackPaddedSequence (22 ms) 2022-11-23T02:18:02.3004311Z [ RUN ] NNUtilsTest.PadSequence 2022-11-23T02:18:02.3074240Z [ OK ] NNUtilsTest.PadSequence (7 ms) 2022-11-23T02:18:02.3074844Z [----------] 7 tests from NNUtilsTest (271 ms total) 2022-11-23T02:18:02.3075050Z 2022-11-23T02:18:02.3075222Z [----------] 3 tests from PackedSequenceTest 2022-11-23T02:18:02.3075537Z [ RUN ] PackedSequenceTest.WrongOrder 2022-11-23T02:18:02.3114349Z [ OK ] PackedSequenceTest.WrongOrder (4 ms) 2022-11-23T02:18:02.3114718Z [ RUN ] PackedSequenceTest.TotalLength 2022-11-23T02:18:02.3191366Z [ OK ] PackedSequenceTest.TotalLength (7 ms) 2022-11-23T02:18:02.3191717Z [ RUN ] PackedSequenceTest.To 2022-11-23T02:18:02.3193714Z [ OK ] PackedSequenceTest.To (0 ms) 2022-11-23T02:18:02.3194344Z [----------] 3 tests from PackedSequenceTest (11 ms total) 2022-11-23T02:18:02.3194575Z 2022-11-23T02:18:02.3194724Z [----------] 34 tests from OptimTest 2022-11-23T02:18:02.3195007Z [ RUN ] OptimTest.OptimizerAccessors 2022-11-23T02:18:02.3211727Z [ OK ] OptimTest.OptimizerAccessors (1 ms) 2022-11-23T02:18:02.3212046Z [ RUN ] OptimTest.OldInterface 2022-11-23T02:18:02.3214233Z [ OK ] OptimTest.OldInterface (0 ms) 2022-11-23T02:18:02.3214526Z [ RUN ] OptimTest.XORConvergence_SGD 2022-11-23T02:18:04.2055676Z [ OK ] OptimTest.XORConvergence_SGD (1883 ms) 2022-11-23T02:18:04.2056135Z [ RUN ] OptimTest.XORConvergence_LBFGS 2022-11-23T02:18:05.5151297Z [ OK ] OptimTest.XORConvergence_LBFGS (1309 ms) 2022-11-23T02:18:05.5151716Z [ RUN ] OptimTest.XORConvergence_Adagrad 2022-11-23T02:18:06.2361046Z [ OK ] OptimTest.XORConvergence_Adagrad (720 ms) 2022-11-23T02:18:06.2361430Z [ RUN ] OptimTest.XORConvergence_RMSprop 2022-11-23T02:18:06.9565097Z [ OK ] OptimTest.XORConvergence_RMSprop (720 ms) 2022-11-23T02:18:06.9565494Z [ RUN ] OptimTest.XORConvergence_RMSpropWithMomentum 2022-11-23T02:18:08.9768544Z [ OK ] OptimTest.XORConvergence_RMSpropWithMomentum (2020 ms) 2022-11-23T02:18:08.9768965Z [ RUN ] OptimTest.XORConvergence_Adam 2022-11-23T02:18:09.7755404Z [ OK ] OptimTest.XORConvergence_Adam (798 ms) 2022-11-23T02:18:09.7755858Z [ RUN ] OptimTest.XORConvergence_AdamWithAmsgrad 2022-11-23T02:18:10.5760450Z [ OK ] OptimTest.XORConvergence_AdamWithAmsgrad (800 ms) 2022-11-23T02:18:10.5760883Z [ RUN ] OptimTest.ProducesPyTorchValues_Adam 2022-11-23T02:18:10.8385775Z [ OK ] OptimTest.ProducesPyTorchValues_Adam (262 ms) 2022-11-23T02:18:10.8386510Z [ RUN ] OptimTest.ProducesPyTorchValues_AdamWithWeightDecay 2022-11-23T02:18:11.1090084Z [ OK ] OptimTest.ProducesPyTorchValues_AdamWithWeightDecay (270 ms) 2022-11-23T02:18:11.1090622Z [ RUN ] OptimTest.ProducesPyTorchValues_AdamWithWeightDecayAndAMSGrad 2022-11-23T02:18:11.3872602Z [ OK ] OptimTest.ProducesPyTorchValues_AdamWithWeightDecayAndAMSGrad (278 ms) 2022-11-23T02:18:11.3873005Z [ RUN ] OptimTest.XORConvergence_AdamW 2022-11-23T02:18:12.2014434Z [ OK ] OptimTest.XORConvergence_AdamW (814 ms) 2022-11-23T02:18:12.2014814Z [ RUN ] OptimTest.XORConvergence_AdamWWithAmsgrad 2022-11-23T02:18:13.0171901Z [ OK ] OptimTest.XORConvergence_AdamWWithAmsgrad (815 ms) 2022-11-23T02:18:13.0172310Z [ RUN ] OptimTest.ProducesPyTorchValues_AdamW 2022-11-23T02:18:13.2923162Z [ OK ] OptimTest.ProducesPyTorchValues_AdamW (275 ms) 2022-11-23T02:18:13.2923628Z [ RUN ] OptimTest.ProducesPyTorchValues_AdamWWithoutWeightDecay 2022-11-23T02:18:13.5543310Z [ OK ] OptimTest.ProducesPyTorchValues_AdamWWithoutWeightDecay (262 ms) 2022-11-23T02:18:13.5543755Z [ RUN ] OptimTest.ProducesPyTorchValues_AdamWWithAMSGrad 2022-11-23T02:18:13.8395519Z [ OK ] OptimTest.ProducesPyTorchValues_AdamWWithAMSGrad (285 ms) 2022-11-23T02:18:13.8395999Z [ RUN ] OptimTest.ProducesPyTorchValues_Adagrad 2022-11-23T02:18:14.0592762Z [ OK ] OptimTest.ProducesPyTorchValues_Adagrad (219 ms) 2022-11-23T02:18:14.0593182Z [ RUN ] OptimTest.ProducesPyTorchValues_AdagradWithWeightDecay 2022-11-23T02:18:14.2877601Z [ OK ] OptimTest.ProducesPyTorchValues_AdagradWithWeightDecay (228 ms) 2022-11-23T02:18:14.2878144Z [ RUN ] OptimTest.ProducesPyTorchValues_AdagradWithWeightDecayAndLRDecay 2022-11-23T02:18:14.5151281Z [ OK ] OptimTest.ProducesPyTorchValues_AdagradWithWeightDecayAndLRDecay (227 ms) 2022-11-23T02:18:14.5151723Z [ RUN ] OptimTest.ProducesPyTorchValues_RMSprop 2022-11-23T02:18:14.7469026Z [ OK ] OptimTest.ProducesPyTorchValues_RMSprop (231 ms) 2022-11-23T02:18:14.7469880Z [ RUN ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecay 2022-11-23T02:18:14.9871080Z [ OK ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecay (240 ms) 2022-11-23T02:18:14.9871928Z [ RUN ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecayAndCentered 2022-11-23T02:18:15.2504964Z [ OK ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecayAndCentered (263 ms) 2022-11-23T02:18:15.2505908Z [ RUN ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecayAndCenteredAndMomentum 2022-11-23T02:18:15.5281010Z [ OK ] OptimTest.ProducesPyTorchValues_RMSpropWithWeightDecayAndCenteredAndMomentum (277 ms) 2022-11-23T02:18:15.5281846Z [ RUN ] OptimTest.ProducesPyTorchValues_SGD 2022-11-23T02:18:15.7067534Z [ OK ] OptimTest.ProducesPyTorchValues_SGD (178 ms) 2022-11-23T02:18:15.7068266Z [ RUN ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecay 2022-11-23T02:18:15.8969520Z [ OK ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecay (190 ms) 2022-11-23T02:18:15.8970246Z [ RUN ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecayAndMomentum 2022-11-23T02:18:16.1108567Z [ OK ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecayAndMomentum (213 ms) 2022-11-23T02:18:16.1109584Z [ RUN ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecayAndNesterovMomentum 2022-11-23T02:18:16.3324759Z [ OK ] OptimTest.ProducesPyTorchValues_SGDWithWeightDecayAndNesterovMomentum (221 ms) 2022-11-23T02:18:16.3325593Z [ RUN ] OptimTest.ProducesPyTorchValues_LBFGS 2022-11-23T02:18:16.5313788Z [ OK ] OptimTest.ProducesPyTorchValues_LBFGS (198 ms) 2022-11-23T02:18:16.5314650Z [ RUN ] OptimTest.ProducesPyTorchValues_LBFGS_with_line_search 2022-11-23T02:18:17.4685807Z [ OK ] OptimTest.ProducesPyTorchValues_LBFGS_with_line_search (937 ms) 2022-11-23T02:18:17.4686289Z [ RUN ] OptimTest.ZeroGrad 2022-11-23T02:18:17.4686788Z [ OK ] OptimTest.ZeroGrad (0 ms) 2022-11-23T02:18:17.4687393Z [ RUN ] OptimTest.ExternalVectorOfParameters 2022-11-23T02:18:17.4689636Z [ OK ] OptimTest.ExternalVectorOfParameters (0 ms) 2022-11-23T02:18:17.4690180Z [ RUN ] OptimTest.AddParameter_LBFGS 2022-11-23T02:18:17.4691392Z [ OK ] OptimTest.AddParameter_LBFGS (0 ms) 2022-11-23T02:18:17.4693109Z [ RUN ] OptimTest.CheckLRChange_StepLR_Adam 2022-11-23T02:18:17.4693458Z [ OK ] OptimTest.CheckLRChange_StepLR_Adam (0 ms) 2022-11-23T02:18:17.4693789Z [----------] 34 tests from OptimTest (15149 ms total) 2022-11-23T02:18:17.4693964Z 2022-11-23T02:18:17.4694123Z [----------] 29 tests from OrderedDictTest 2022-11-23T02:18:17.4694484Z [ RUN ] OrderedDictTest.IsEmptyAfterDefaultConstruction 2022-11-23T02:18:17.4694907Z [ OK ] OrderedDictTest.IsEmptyAfterDefaultConstruction (0 ms) 2022-11-23T02:18:17.4695375Z [ RUN ] OrderedDictTest.InsertAddsElementsWhenTheyAreYetNotPresent 2022-11-23T02:18:17.4695887Z [ OK ] OrderedDictTest.InsertAddsElementsWhenTheyAreYetNotPresent (0 ms) 2022-11-23T02:18:17.4696357Z [ RUN ] OrderedDictTest.GetReturnsValuesWhenTheyArePresent 2022-11-23T02:18:17.4696791Z [ OK ] OrderedDictTest.GetReturnsValuesWhenTheyArePresent (0 ms) 2022-11-23T02:18:17.4697254Z [ RUN ] OrderedDictTest.GetThrowsWhenPassedKeysThatAreNotPresent 2022-11-23T02:18:17.4719579Z [ OK ] OrderedDictTest.GetThrowsWhenPassedKeysThatAreNotPresent (2 ms) 2022-11-23T02:18:17.4720258Z [ RUN ] OrderedDictTest.CanInitializeFromList 2022-11-23T02:18:17.4720613Z [ OK ] OrderedDictTest.CanInitializeFromList (0 ms) 2022-11-23T02:18:17.4721057Z [ RUN ] OrderedDictTest.InsertThrowsWhenPassedElementsThatArePresent 2022-11-23T02:18:17.4743167Z [ OK ] OrderedDictTest.InsertThrowsWhenPassedElementsThatArePresent (2 ms) 2022-11-23T02:18:17.4743892Z [ RUN ] OrderedDictTest.FrontReturnsTheFirstItem 2022-11-23T02:18:17.4744287Z [ OK ] OrderedDictTest.FrontReturnsTheFirstItem (0 ms) 2022-11-23T02:18:17.4744652Z [ RUN ] OrderedDictTest.FrontThrowsWhenEmpty 2022-11-23T02:18:17.4753967Z [ OK ] OrderedDictTest.FrontThrowsWhenEmpty (1 ms) 2022-11-23T02:18:17.4754573Z [ RUN ] OrderedDictTest.BackReturnsTheLastItem 2022-11-23T02:18:17.4754958Z [ OK ] OrderedDictTest.BackReturnsTheLastItem (0 ms) 2022-11-23T02:18:17.4755324Z [ RUN ] OrderedDictTest.BackThrowsWhenEmpty 2022-11-23T02:18:17.4764457Z [ OK ] OrderedDictTest.BackThrowsWhenEmpty (1 ms) 2022-11-23T02:18:17.4765209Z [ RUN ] OrderedDictTest.FindReturnsPointersToValuesWhenPresent 2022-11-23T02:18:17.4765816Z [ OK ] OrderedDictTest.FindReturnsPointersToValuesWhenPresent (0 ms) 2022-11-23T02:18:17.4766354Z [ RUN ] OrderedDictTest.FindReturnsNullPointersWhenPasesdKeysThatAreNotPresent 2022-11-23T02:18:17.4766940Z [ OK ] OrderedDictTest.FindReturnsNullPointersWhenPasesdKeysThatAreNotPresent (0 ms) 2022-11-23T02:18:17.4767529Z [ RUN ] OrderedDictTest.SubscriptOperatorThrowsWhenPassedKeysThatAreNotPresent 2022-11-23T02:18:17.4768124Z [ OK ] OrderedDictTest.SubscriptOperatorThrowsWhenPassedKeysThatAreNotPresent (0 ms) 2022-11-23T02:18:17.4768733Z [ RUN ] OrderedDictTest.SubscriptOperatorReturnsItemsPositionallyWhenPassedIntegers 2022-11-23T02:18:17.4769562Z [ OK ] OrderedDictTest.SubscriptOperatorReturnsItemsPositionallyWhenPassedIntegers (0 ms) 2022-11-23T02:18:17.4770262Z [ RUN ] OrderedDictTest.SubscriptOperatorsThrowswhenPassedKeysThatAreNotPresent 2022-11-23T02:18:17.4788481Z [ OK ] OrderedDictTest.SubscriptOperatorsThrowswhenPassedKeysThatAreNotPresent (2 ms) 2022-11-23T02:18:17.4789301Z [ RUN ] OrderedDictTest.UpdateInsertsAllItemsFromAnotherOrderedDict 2022-11-23T02:18:17.4789812Z [ OK ] OrderedDictTest.UpdateInsertsAllItemsFromAnotherOrderedDict (0 ms) 2022-11-23T02:18:17.4790271Z [ RUN ] OrderedDictTest.UpdateAlsoChecksForDuplicates 2022-11-23T02:18:17.4800626Z [ OK ] OrderedDictTest.UpdateAlsoChecksForDuplicates (1 ms) 2022-11-23T02:18:17.4801286Z [ RUN ] OrderedDictTest.CanIterateItems 2022-11-23T02:18:17.4801730Z [ OK ] OrderedDictTest.CanIterateItems (0 ms) 2022-11-23T02:18:17.4802046Z [ RUN ] OrderedDictTest.EraseWorks 2022-11-23T02:18:17.4802373Z [ OK ] OrderedDictTest.EraseWorks (0 ms) 2022-11-23T02:18:17.4802703Z [ RUN ] OrderedDictTest.ClearMakesTheDictEmpty 2022-11-23T02:18:17.4803080Z [ OK ] OrderedDictTest.ClearMakesTheDictEmpty (0 ms) 2022-11-23T02:18:17.4803433Z [ RUN ] OrderedDictTest.CanCopyConstruct 2022-11-23T02:18:17.4803763Z [ OK ] OrderedDictTest.CanCopyConstruct (0 ms) 2022-11-23T02:18:17.4804092Z [ RUN ] OrderedDictTest.CanCopyAssign 2022-11-23T02:18:17.4804420Z [ OK ] OrderedDictTest.CanCopyAssign (0 ms) 2022-11-23T02:18:17.4804737Z [ RUN ] OrderedDictTest.CanMoveConstruct 2022-11-23T02:18:17.4805077Z [ OK ] OrderedDictTest.CanMoveConstruct (0 ms) 2022-11-23T02:18:17.4805401Z [ RUN ] OrderedDictTest.CanMoveAssign 2022-11-23T02:18:17.4805729Z [ OK ] OrderedDictTest.CanMoveAssign (0 ms) 2022-11-23T02:18:17.4806055Z [ RUN ] OrderedDictTest.CanInsertWithBraces 2022-11-23T02:18:17.4806417Z [ OK ] OrderedDictTest.CanInsertWithBraces (0 ms) 2022-11-23T02:18:17.4806834Z [ RUN ] OrderedDictTest.ErrorMessagesIncludeTheKeyDescription 2022-11-23T02:18:17.4825120Z [ OK ] OrderedDictTest.ErrorMessagesIncludeTheKeyDescription (2 ms) 2022-11-23T02:18:17.4825702Z [ RUN ] OrderedDictTest.KeysReturnsAllKeys 2022-11-23T02:18:17.4826068Z [ OK ] OrderedDictTest.KeysReturnsAllKeys (0 ms) 2022-11-23T02:18:17.4826428Z [ RUN ] OrderedDictTest.ValuesReturnsAllValues 2022-11-23T02:18:17.4826789Z [ OK ] OrderedDictTest.ValuesReturnsAllValues (0 ms) 2022-11-23T02:18:17.4827152Z [ RUN ] OrderedDictTest.ItemsReturnsAllItems 2022-11-23T02:18:17.4827514Z [ OK ] OrderedDictTest.ItemsReturnsAllItems (0 ms) 2022-11-23T02:18:17.4827861Z [----------] 29 tests from OrderedDictTest (13 ms total) 2022-11-23T02:18:17.4828027Z 2022-11-23T02:18:17.4828169Z [----------] 13 tests from RNNTest 2022-11-23T02:18:17.4828443Z [ RUN ] RNNTest.CheckOutputSizes 2022-11-23T02:18:17.4911144Z [ OK ] RNNTest.CheckOutputSizes (8 ms) 2022-11-23T02:18:17.4911456Z [ RUN ] RNNTest.CheckOutputSizesProj 2022-11-23T02:18:17.4996882Z [ OK ] RNNTest.CheckOutputSizesProj (8 ms) 2022-11-23T02:18:17.4997518Z [ RUN ] RNNTest.CheckOutputValuesMatchPyTorch 2022-11-23T02:18:17.5002043Z [ OK ] RNNTest.CheckOutputValuesMatchPyTorch (0 ms) 2022-11-23T02:18:17.5002599Z [ RUN ] RNNTest.EndToEndLSTM 2022-11-23T02:18:19.7995167Z [ OK ] RNNTest.EndToEndLSTM (2299 ms) 2022-11-23T02:18:19.7995515Z [ RUN ] RNNTest.EndToEndLSTMProj 2022-11-23T02:18:22.1246520Z [ OK ] RNNTest.EndToEndLSTMProj (2325 ms) 2022-11-23T02:18:22.1246850Z [ RUN ] RNNTest.EndToEndGRU 2022-11-23T02:18:24.1615007Z [ OK ] RNNTest.EndToEndGRU (2036 ms) 2022-11-23T02:18:24.1615513Z [ RUN ] RNNTest.EndToEndRNNRelu 2022-11-23T02:18:25.3257822Z [ OK ] RNNTest.EndToEndRNNRelu (1164 ms) 2022-11-23T02:18:25.3258178Z [ RUN ] RNNTest.EndToEndRNNTanh 2022-11-23T02:18:26.6436835Z [ OK ] RNNTest.EndToEndRNNTanh (1317 ms) 2022-11-23T02:18:26.6437202Z [ RUN ] RNNTest.PrettyPrintRNNs 2022-11-23T02:18:26.6457423Z [ OK ] RNNTest.PrettyPrintRNNs (2 ms) 2022-11-23T02:18:26.6457921Z [ RUN ] RNNTest.BidirectionalFlattenParameters 2022-11-23T02:18:26.6547045Z [ OK ] RNNTest.BidirectionalFlattenParameters (8 ms) 2022-11-23T02:18:26.6547470Z [ RUN ] RNNTest.BidirectionalGRUReverseForward 2022-11-23T02:18:26.6563853Z [ OK ] RNNTest.BidirectionalGRUReverseForward (1 ms) 2022-11-23T02:18:26.6564288Z [ RUN ] RNNTest.BidirectionalLSTMReverseForward 2022-11-23T02:18:26.6578472Z [ OK ] RNNTest.BidirectionalLSTMReverseForward (1 ms) 2022-11-23T02:18:26.6579072Z [ RUN ] RNNTest.UsePackedSequenceAsInput 2022-11-23T02:18:26.6601184Z [ OK ] RNNTest.UsePackedSequenceAsInput (2 ms) 2022-11-23T02:18:26.6601759Z [----------] 13 tests from RNNTest (9177 ms total) 2022-11-23T02:18:26.6602009Z 2022-11-23T02:18:26.6602276Z [----------] 19 tests from SequentialTest 2022-11-23T02:18:26.6602760Z [ RUN ] SequentialTest.CanContainThings 2022-11-23T02:18:26.6603334Z [ OK ] SequentialTest.CanContainThings (0 ms) 2022-11-23T02:18:26.6603999Z [ RUN ] SequentialTest.ConstructsFromSharedPointer 2022-11-23T02:18:26.6604440Z [ OK ] SequentialTest.ConstructsFromSharedPointer (0 ms) 2022-11-23T02:18:26.6604830Z [ RUN ] SequentialTest.ConstructsFromConcreteType 2022-11-23T02:18:26.6605211Z [ OK ] SequentialTest.ConstructsFromConcreteType (0 ms) 2022-11-23T02:18:26.6605607Z [ RUN ] SequentialTest.ConstructsFromModuleHolder 2022-11-23T02:18:26.6605992Z [ OK ] SequentialTest.ConstructsFromModuleHolder (0 ms) 2022-11-23T02:18:26.6606349Z [ RUN ] SequentialTest.PushBackAddsAnElement 2022-11-23T02:18:26.6606716Z [ OK ] SequentialTest.PushBackAddsAnElement (0 ms) 2022-11-23T02:18:26.6607042Z [ RUN ] SequentialTest.AccessWithAt 2022-11-23T02:18:26.6628657Z [ OK ] SequentialTest.AccessWithAt (2 ms) 2022-11-23T02:18:26.6628962Z [ RUN ] SequentialTest.AccessWithPtr 2022-11-23T02:18:26.6651830Z [ OK ] SequentialTest.AccessWithPtr (2 ms) 2022-11-23T02:18:26.6652299Z [ RUN ] SequentialTest.CallingForwardOnEmptySequentialIsDisallowed 2022-11-23T02:18:26.6663428Z [ OK ] SequentialTest.CallingForwardOnEmptySequentialIsDisallowed (1 ms) 2022-11-23T02:18:26.6663901Z [ RUN ] SequentialTest.CallingForwardChainsCorrectly 2022-11-23T02:18:26.6664336Z [ OK ] SequentialTest.CallingForwardChainsCorrectly (0 ms) 2022-11-23T02:18:26.6664790Z [ RUN ] SequentialTest.CallingForwardWithTheWrongReturnTypeThrows 2022-11-23T02:18:26.6674423Z [ OK ] SequentialTest.CallingForwardWithTheWrongReturnTypeThrows (1 ms) 2022-11-23T02:18:26.6674920Z [ RUN ] SequentialTest.TheReturnTypeOfForwardDefaultsToTensor 2022-11-23T02:18:26.6675391Z [ OK ] SequentialTest.TheReturnTypeOfForwardDefaultsToTensor (0 ms) 2022-11-23T02:18:26.6675812Z [ RUN ] SequentialTest.ForwardReturnsTheLastValue 2022-11-23T02:18:26.6678749Z [ OK ] SequentialTest.ForwardReturnsTheLastValue (0 ms) 2022-11-23T02:18:26.6679176Z [ RUN ] SequentialTest.SanityCheckForHoldingStandardModules 2022-11-23T02:18:26.6681657Z [ OK ] SequentialTest.SanityCheckForHoldingStandardModules (0 ms) 2022-11-23T02:18:26.6682954Z [ RUN ] SequentialTest.ExtendPushesModulesFromOtherSequential 2022-11-23T02:18:26.6684139Z [ OK ] SequentialTest.ExtendPushesModulesFromOtherSequential (0 ms) 2022-11-23T02:18:26.6684799Z [ RUN ] SequentialTest.HasReferenceSemantics 2022-11-23T02:18:26.6685368Z [ OK ] SequentialTest.HasReferenceSemantics (0 ms) 2022-11-23T02:18:26.6685864Z [ RUN ] SequentialTest.IsCloneable 2022-11-23T02:18:26.6689583Z [ OK ] SequentialTest.IsCloneable (0 ms) 2022-11-23T02:18:26.6690248Z [ RUN ] SequentialTest.RegistersElementsAsSubmodules 2022-11-23T02:18:26.6690976Z [ OK ] SequentialTest.RegistersElementsAsSubmodules (0 ms) 2022-11-23T02:18:26.6691693Z [ RUN ] SequentialTest.PrettyPrintSequential 2022-11-23T02:18:26.6694201Z [ OK ] SequentialTest.PrettyPrintSequential (0 ms) 2022-11-23T02:18:26.6695008Z [ RUN ] SequentialTest.ModuleForwardMethodOptionalArg 2022-11-23T02:18:26.6735043Z [ OK ] SequentialTest.ModuleForwardMethodOptionalArg (4 ms) 2022-11-23T02:18:26.6735701Z [----------] 19 tests from SequentialTest (13 ms total) 2022-11-23T02:18:26.6735898Z 2022-11-23T02:18:26.6736090Z [----------] 11 tests from TransformerTest 2022-11-23T02:18:26.6736481Z [ RUN ] TransformerTest.TransformerEncoderLayer 2022-11-23T02:18:26.6867703Z [ OK ] TransformerTest.TransformerEncoderLayer (13 ms) 2022-11-23T02:18:26.6868517Z [ RUN ] TransformerTest.TransformerDecoderLayer 2022-11-23T02:18:26.6998766Z [ OK ] TransformerTest.TransformerDecoderLayer (13 ms) 2022-11-23T02:18:26.6999611Z [ RUN ] TransformerTest.TransformerDecoderLayer_gelu 2022-11-23T02:18:26.7069991Z [ OK ] TransformerTest.TransformerDecoderLayer_gelu (7 ms) 2022-11-23T02:18:26.7070776Z [ RUN ] TransformerTest.TransformerEncoder 2022-11-23T02:18:26.7314327Z [ OK ] TransformerTest.TransformerEncoder (24 ms) 2022-11-23T02:18:26.7314993Z [ RUN ] TransformerTest.PrettyPrintTransformerEncoderLayer 2022-11-23T02:18:26.7316929Z [ OK ] TransformerTest.PrettyPrintTransformerEncoderLayer (0 ms) 2022-11-23T02:18:26.7317670Z [ RUN ] TransformerTest.PrettyPrintTransformerEncoder 2022-11-23T02:18:26.7327469Z [ OK ] TransformerTest.PrettyPrintTransformerEncoder (1 ms) 2022-11-23T02:18:26.7328207Z [ RUN ] TransformerTest.PrettyPrintTransformerDecoderLayer 2022-11-23T02:18:26.7330031Z [ OK ] TransformerTest.PrettyPrintTransformerDecoderLayer (0 ms) 2022-11-23T02:18:26.7330819Z [ RUN ] TransformerTest.TransformerDecoder 2022-11-23T02:18:26.8019907Z [ OK ] TransformerTest.TransformerDecoder (68 ms) 2022-11-23T02:18:26.8020602Z [ RUN ] TransformerTest.PrettyPrintTransformerDecoder 2022-11-23T02:18:26.8031209Z [ OK ] TransformerTest.PrettyPrintTransformerDecoder (1 ms) 2022-11-23T02:18:26.8031803Z [ RUN ] TransformerTest.Transformer 2022-11-23T02:18:26.8281562Z [ OK ] TransformerTest.Transformer (25 ms) 2022-11-23T02:18:26.8282151Z [ RUN ] TransformerTest.TransformerArgsCorrectness 2022-11-23T02:18:26.8342920Z [ OK ] TransformerTest.TransformerArgsCorrectness (6 ms) 2022-11-23T02:18:26.8343512Z [----------] 11 tests from TransformerTest (160 ms total) 2022-11-23T02:18:26.8343749Z 2022-11-23T02:18:26.8343997Z [----------] 23 tests from SerializeTest 2022-11-23T02:18:26.8344455Z [ RUN ] SerializeTest.KeysFunc 2022-11-23T02:18:26.8348449Z [ OK ] SerializeTest.KeysFunc (0 ms) 2022-11-23T02:18:26.8348954Z [ RUN ] SerializeTest.TryReadFunc 2022-11-23T02:18:26.8352118Z [ OK ] SerializeTest.TryReadFunc (0 ms) 2022-11-23T02:18:26.8352586Z [ RUN ] SerializeTest.Basic 2022-11-23T02:18:26.8355571Z [ OK ] SerializeTest.Basic (0 ms) 2022-11-23T02:18:26.8356253Z [ RUN ] SerializeTest.MathBits 2022-11-23T02:18:26.8434719Z [ OK ] SerializeTest.MathBits (7 ms) 2022-11-23T02:18:26.8435256Z [ RUN ] SerializeTest.BasicToFile 2022-11-23T02:18:26.8439062Z [ OK ] SerializeTest.BasicToFile (0 ms) 2022-11-23T02:18:26.8439578Z [ RUN ] SerializeTest.BasicViaFunc 2022-11-23T02:18:26.8443571Z [ OK ] SerializeTest.BasicViaFunc (0 ms) 2022-11-23T02:18:26.8444064Z [ RUN ] SerializeTest.Resized 2022-11-23T02:18:26.8446612Z [ OK ] SerializeTest.Resized (0 ms) 2022-11-23T02:18:26.8447166Z [ RUN ] SerializeTest.Sliced 2022-11-23T02:18:26.8450126Z [ OK ] SerializeTest.Sliced (0 ms) 2022-11-23T02:18:26.8450703Z [ RUN ] SerializeTest.NonContiguous 2022-11-23T02:18:26.8453745Z [ OK ] SerializeTest.NonContiguous (0 ms) 2022-11-23T02:18:26.8454421Z [ RUN ] SerializeTest.ErrorOnMissingKey 2022-11-23T02:18:26.8535291Z [ OK ] SerializeTest.ErrorOnMissingKey (8 ms) 2022-11-23T02:18:26.8535860Z [ RUN ] SerializeTest.XOR 2022-11-23T02:18:27.0781505Z [ OK ] SerializeTest.XOR (224 ms) 2022-11-23T02:18:27.0782107Z [ RUN ] SerializeTest.Optim 2022-11-23T02:18:27.0807398Z [ OK ] SerializeTest.Optim (2 ms) 2022-11-23T02:18:27.0808014Z [ RUN ] SerializeTest.Optim_Adagrad 2022-11-23T02:18:27.0842673Z [ OK ] SerializeTest.Optim_Adagrad (3 ms) 2022-11-23T02:18:27.0843230Z [ RUN ] SerializeTest.Optim_SGD 2022-11-23T02:18:27.0874467Z [ OK ] SerializeTest.Optim_SGD (3 ms) 2022-11-23T02:18:27.0875012Z [ RUN ] SerializeTest.Optim_Adam 2022-11-23T02:18:27.0914612Z [ OK ] SerializeTest.Optim_Adam (3 ms) 2022-11-23T02:18:27.0915159Z [ RUN ] SerializeTest.Optim_AdamW 2022-11-23T02:18:27.0955078Z [ OK ] SerializeTest.Optim_AdamW (4 ms) 2022-11-23T02:18:27.0955659Z [ RUN ] SerializeTest.Optim_RMSprop 2022-11-23T02:18:27.0994194Z [ OK ] SerializeTest.Optim_RMSprop (3 ms) 2022-11-23T02:18:27.0994754Z [ RUN ] SerializeTest.Optim_LBFGS 2022-11-23T02:18:27.1033239Z [ OK ] SerializeTest.Optim_LBFGS (3 ms) 2022-11-23T02:18:27.1034139Z [ RUN ] SerializeTest.CanSerializeModulesWithIntermediateModulesWithoutParametersOrBuffers 2022-11-23T02:18:27.1038739Z [ OK ] SerializeTest.CanSerializeModulesWithIntermediateModulesWithoutParametersOrBuffers (0 ms) 2022-11-23T02:18:27.1039537Z [ RUN ] SerializeTest.VectorOfTensors 2022-11-23T02:18:27.1042317Z [ OK ] SerializeTest.VectorOfTensors (0 ms) 2022-11-23T02:18:27.1042833Z [ RUN ] SerializeTest.IValue 2022-11-23T02:18:27.1045962Z [ OK ] SerializeTest.IValue (0 ms) 2022-11-23T02:18:27.1046654Z [ RUN ] SerializeTest.UnserializableSubmoduleIsSkippedWhenSavingModule 2022-11-23T02:18:27.1047558Z [ OK ] SerializeTest.UnserializableSubmoduleIsSkippedWhenSavingModule (0 ms) 2022-11-23T02:18:27.1048469Z [ RUN ] SerializeTest.UnserializableSubmoduleIsIgnoredWhenLoadingModule 2022-11-23T02:18:27.1054578Z [ OK ] SerializeTest.UnserializableSubmoduleIsIgnoredWhenLoadingModule (0 ms) 2022-11-23T02:18:27.1055313Z [----------] 23 tests from SerializeTest (271 ms total) 2022-11-23T02:18:27.1055594Z 2022-11-23T02:18:27.1055810Z [----------] 1 test from SpecialTest 2022-11-23T02:18:27.1056160Z [ RUN ] SpecialTest.special 2022-11-23T02:18:27.1056529Z [ OK ] SpecialTest.special (0 ms) 2022-11-23T02:18:27.1056824Z [----------] 1 test from SpecialTest (0 ms total) 2022-11-23T02:18:27.1056974Z 2022-11-23T02:18:27.1057118Z [----------] 5 tests from TestStatic 2022-11-23T02:18:27.1057614Z [ RUN ] TestStatic.AllOf 2022-11-23T02:18:27.1057872Z [ OK ] TestStatic.AllOf (0 ms) 2022-11-23T02:18:27.1058130Z [ RUN ] TestStatic.AnyOf 2022-11-23T02:18:27.1058394Z [ OK ] TestStatic.AnyOf (0 ms) 2022-11-23T02:18:27.1058676Z [ RUN ] TestStatic.EnableIfModule 2022-11-23T02:18:27.1059126Z [ OK ] TestStatic.EnableIfModule (0 ms) 2022-11-23T02:18:27.1059440Z [ RUN ] TestStatic.ReturnTypeOfForward 2022-11-23T02:18:27.1059772Z [ OK ] TestStatic.ReturnTypeOfForward (0 ms) 2022-11-23T02:18:27.1060044Z [ RUN ] TestStatic.Apply 2022-11-23T02:18:27.1060312Z [ OK ] TestStatic.Apply (0 ms) 2022-11-23T02:18:27.1060615Z [----------] 5 tests from TestStatic (0 ms total) 2022-11-23T02:18:27.1060763Z 2022-11-23T02:18:27.1060891Z [----------] 45 tests from TensorTest 2022-11-23T02:18:27.1061150Z [ RUN ] TensorTest.ToDtype 2022-11-23T02:18:27.1068082Z [ OK ] TensorTest.ToDtype (1 ms) 2022-11-23T02:18:27.1068501Z [ RUN ] TensorTest.ToTensorAndTensorAttributes 2022-11-23T02:18:27.1068864Z [ OK ] TensorTest.ToTensorAndTensorAttributes (0 ms) 2022-11-23T02:18:27.1069346Z [ RUN ] TensorTest.ToOptionsWithRequiresGrad 2022-11-23T02:18:27.1092686Z [ OK ] TensorTest.ToOptionsWithRequiresGrad (2 ms) 2022-11-23T02:18:27.1093198Z [ RUN ] TensorTest.ToDoesNotCopyWhenOptionsAreAllTheSame 2022-11-23T02:18:27.1093764Z [ OK ] TensorTest.ToDoesNotCopyWhenOptionsAreAllTheSame (0 ms) 2022-11-23T02:18:27.1094170Z [ RUN ] TensorTest.AtTensorCtorScalar 2022-11-23T02:18:27.1094566Z [ OK ] TensorTest.AtTensorCtorScalar (0 ms) 2022-11-23T02:18:27.1095007Z [ RUN ] TensorTest.AtTensorCtorSingleDim 2022-11-23T02:18:27.1095587Z [ OK ] TensorTest.AtTensorCtorSingleDim (0 ms) 2022-11-23T02:18:27.1096246Z [ RUN ] TensorTest.AtTensorCastRealToComplex 2022-11-23T02:18:27.1096610Z [ OK ] TensorTest.AtTensorCastRealToComplex (0 ms) 2022-11-23T02:18:27.1097003Z [ RUN ] TensorTest.AtTensorCastComplexToRealErrorChecks 2022-11-23T02:18:27.1148851Z [ OK ] TensorTest.AtTensorCastComplexToRealErrorChecks (5 ms) 2022-11-23T02:18:27.1149460Z [ RUN ] TensorTest.TorchTensorCtorScalarIntegralType 2022-11-23T02:18:27.1150081Z [ OK ] TensorTest.TorchTensorCtorScalarIntegralType (0 ms) 2022-11-23T02:18:27.1150548Z [ RUN ] TensorTest.TorchTensorCtorScalarFloatingType 2022-11-23T02:18:27.1150998Z [ OK ] TensorTest.TorchTensorCtorScalarFloatingType (0 ms) 2022-11-23T02:18:27.1151428Z [ RUN ] TensorTest.TorchTensorCtorScalarBoolType 2022-11-23T02:18:27.1151964Z [ OK ] TensorTest.TorchTensorCtorScalarBoolType (0 ms) 2022-11-23T02:18:27.1152579Z [ RUN ] TensorTest.TorchTensorCtorSingleDimIntegralType 2022-11-23T02:18:27.1153244Z [ OK ] TensorTest.TorchTensorCtorSingleDimIntegralType (0 ms) 2022-11-23T02:18:27.1153654Z [ RUN ] TensorTest.TorchTensorCtorSingleDimFloatingType 2022-11-23T02:18:27.1154081Z [ OK ] TensorTest.TorchTensorCtorSingleDimFloatingType (0 ms) 2022-11-23T02:18:27.1154484Z [ RUN ] TensorTest.TorchTensorCtorSingleDimBoolType 2022-11-23T02:18:27.1154886Z [ OK ] TensorTest.TorchTensorCtorSingleDimBoolType (0 ms) 2022-11-23T02:18:27.1155281Z [ RUN ] TensorTest.TorchTensorCtorMultiDimIntegralType 2022-11-23T02:18:27.1158445Z [ OK ] TensorTest.TorchTensorCtorMultiDimIntegralType (0 ms) 2022-11-23T02:18:27.1159105Z [ RUN ] TensorTest.TorchTensorCtorMultiDimFloatingType 2022-11-23T02:18:27.1161983Z [ OK ] TensorTest.TorchTensorCtorMultiDimFloatingType (0 ms) 2022-11-23T02:18:27.1162569Z [ RUN ] TensorTest.TorchTensorCtorMultiDimBoolType 2022-11-23T02:18:27.1163053Z [ OK ] TensorTest.TorchTensorCtorMultiDimBoolType (0 ms) 2022-11-23T02:18:27.1163504Z [ RUN ] TensorTest.TorchTensorCtorMultiDimWithOptions 2022-11-23T02:18:27.1164258Z [ OK ] TensorTest.TorchTensorCtorMultiDimWithOptions (0 ms) 2022-11-23T02:18:27.1164728Z [ RUN ] TensorTest.TorchTensorCtorMultiDimErrorChecks 2022-11-23T02:18:27.1220590Z [ OK ] TensorTest.TorchTensorCtorMultiDimErrorChecks (5 ms) 2022-11-23T02:18:27.1221153Z [ RUN ] TensorTest.TorchTensorCastRealToComplex 2022-11-23T02:18:27.1221539Z [ OK ] TensorTest.TorchTensorCastRealToComplex (0 ms) 2022-11-23T02:18:27.1222109Z [ RUN ] TensorTest.TorchTensorCastComplexToRealErrorChecks 2022-11-23T02:18:27.1222898Z [W Copy.cpp:275] Warning: Casting complex values to real discards the imaginary part (function operator()) 2022-11-23T02:18:27.1234604Z [ OK ] TensorTest.TorchTensorCastComplexToRealErrorChecks (1 ms) 2022-11-23T02:18:27.1235104Z [ RUN ] TensorTest.TorchTensorCtorZeroSizedDim 2022-11-23T02:18:27.1236069Z [ OK ] TensorTest.TorchTensorCtorZeroSizedDim (0 ms) 2022-11-23T02:18:27.1236679Z [ RUN ] TensorTest.TorchTensorCtorWithoutSpecifyingDtype 2022-11-23T02:18:27.1237767Z [ OK ] TensorTest.TorchTensorCtorWithoutSpecifyingDtype (0 ms) 2022-11-23T02:18:27.1238497Z [ RUN ] TensorTest.TorchTensorCtorWithNonDtypeOptions 2022-11-23T02:18:27.1239158Z [ OK ] TensorTest.TorchTensorCtorWithNonDtypeOptions (0 ms) 2022-11-23T02:18:27.1239745Z [ RUN ] TensorTest.Arange 2022-11-23T02:18:27.1240172Z [ OK ] TensorTest.Arange (0 ms) 2022-11-23T02:18:27.1240726Z [ RUN ] TensorTest.PrettyPrintTensorDataContainer 2022-11-23T02:18:27.1241284Z [ OK ] TensorTest.PrettyPrintTensorDataContainer (0 ms) 2022-11-23T02:18:27.1241734Z [ RUN ] TensorTest.TensorDataContainerCallingAccessorOfWrongType 2022-11-23T02:18:27.1303717Z [ OK ] TensorTest.TensorDataContainerCallingAccessorOfWrongType (6 ms) 2022-11-23T02:18:27.1304223Z [ RUN ] TensorTest.FromBlob 2022-11-23T02:18:27.1304659Z [ OK ] TensorTest.FromBlob (0 ms) 2022-11-23T02:18:27.1305114Z [ RUN ] TensorTest.FromBlobUsesDeleter 2022-11-23T02:18:27.1305634Z [ OK ] TensorTest.FromBlobUsesDeleter (0 ms) 2022-11-23T02:18:27.1306072Z [ RUN ] TensorTest.FromBlobWithStrides 2022-11-23T02:18:27.1306424Z [ OK ] TensorTest.FromBlobWithStrides (0 ms) 2022-11-23T02:18:27.1306707Z [ RUN ] TensorTest.Item 2022-11-23T02:18:27.1306954Z [ OK ] TensorTest.Item (0 ms) 2022-11-23T02:18:27.1307215Z [ RUN ] TensorTest.DataPtr 2022-11-23T02:18:27.1307489Z [ OK ] TensorTest.DataPtr (0 ms) 2022-11-23T02:18:27.1307748Z [ RUN ] TensorTest.Data 2022-11-23T02:18:27.1308007Z [ OK ] TensorTest.Data (0 ms) 2022-11-23T02:18:27.1308285Z [ RUN ] TensorTest.BackwardAndGrad 2022-11-23T02:18:27.1308578Z [ OK ] TensorTest.BackwardAndGrad (0 ms) 2022-11-23T02:18:27.1308899Z [ RUN ] TensorTest.BackwardCreatesOnesGrad 2022-11-23T02:18:27.1309326Z [ OK ] TensorTest.BackwardCreatesOnesGrad (0 ms) 2022-11-23T02:18:27.1309681Z [ RUN ] TensorTest.BackwardNonScalarOutputs 2022-11-23T02:18:27.1338276Z [ OK ] TensorTest.BackwardNonScalarOutputs (3 ms) 2022-11-23T02:18:27.1338725Z [ RUN ] TensorTest.IsLeaf 2022-11-23T02:18:27.1339393Z [ OK ] TensorTest.IsLeaf (0 ms) 2022-11-23T02:18:27.1339788Z [ RUN ] TensorTest.OutputNr 2022-11-23T02:18:27.1340200Z [ OK ] TensorTest.OutputNr (0 ms) 2022-11-23T02:18:27.1340544Z [ RUN ] TensorTest.Version 2022-11-23T02:18:27.1341105Z [ OK ] TensorTest.Version (0 ms) 2022-11-23T02:18:27.1341362Z [ RUN ] TensorTest.Detach 2022-11-23T02:18:27.1341631Z [ OK ] TensorTest.Detach (0 ms) 2022-11-23T02:18:27.1341912Z [ RUN ] TensorTest.DetachInplace 2022-11-23T02:18:27.1342254Z [ OK ] TensorTest.DetachInplace (0 ms) 2022-11-23T02:18:27.1342537Z [ RUN ] TensorTest.SetData 2022-11-23T02:18:27.1342803Z [ OK ] TensorTest.SetData (0 ms) 2022-11-23T02:18:27.1343089Z [ RUN ] TensorTest.RequiresGradInplace 2022-11-23T02:18:27.1366314Z [ OK ] TensorTest.RequiresGradInplace (2 ms) 2022-11-23T02:18:27.1366747Z [ RUN ] TensorTest.StdDimension 2022-11-23T02:18:27.1367452Z [ OK ] TensorTest.StdDimension (0 ms) 2022-11-23T02:18:27.1367747Z [ RUN ] TensorTest.ReshapeAlias 2022-11-23T02:18:27.1370114Z [ OK ] TensorTest.ReshapeAlias (0 ms) 2022-11-23T02:18:27.1370722Z [----------] 45 tests from TensorTest (31 ms total) 2022-11-23T02:18:27.1370948Z 2022-11-23T02:18:27.1371102Z [----------] 36 tests from TensorIndexingTest 2022-11-23T02:18:27.1371396Z [ RUN ] TensorIndexingTest.Slice 2022-11-23T02:18:27.1371696Z [ OK ] TensorIndexingTest.Slice (0 ms) 2022-11-23T02:18:27.1371991Z [ RUN ] TensorIndexingTest.TensorIndex 2022-11-23T02:18:27.1383054Z [ OK ] TensorIndexingTest.TensorIndex (1 ms) 2022-11-23T02:18:27.1383614Z [ RUN ] TensorIndexingTest.TestNoIndices 2022-11-23T02:18:27.1469999Z [ OK ] TensorIndexingTest.TestNoIndices (8 ms) 2022-11-23T02:18:27.1470484Z [ RUN ] TensorIndexingTest.TestAdvancedIndexingWithListOfTensor 2022-11-23T02:18:27.1471802Z [ OK ] TensorIndexingTest.TestAdvancedIndexingWithListOfTensor (0 ms) 2022-11-23T02:18:27.1472422Z [ RUN ] TensorIndexingTest.TestSingleInt 2022-11-23T02:18:27.1472969Z [ OK ] TensorIndexingTest.TestSingleInt (0 ms) 2022-11-23T02:18:27.1473306Z [ RUN ] TensorIndexingTest.TestMultipleInt 2022-11-23T02:18:27.1473657Z [ OK ] TensorIndexingTest.TestMultipleInt (0 ms) 2022-11-23T02:18:27.1473985Z [ RUN ] TensorIndexingTest.TestNone 2022-11-23T02:18:27.1474338Z [ OK ] TensorIndexingTest.TestNone (0 ms) 2022-11-23T02:18:27.1474702Z [ RUN ] TensorIndexingTest.TestStep 2022-11-23T02:18:27.1475084Z [ OK ] TensorIndexingTest.TestStep (0 ms) 2022-11-23T02:18:27.1475460Z [ RUN ] TensorIndexingTest.TestStepAssignment 2022-11-23T02:18:27.1476542Z [ OK ] TensorIndexingTest.TestStepAssignment (0 ms) 2022-11-23T02:18:27.1476904Z [ RUN ] TensorIndexingTest.TestBoolIndices 2022-11-23T02:18:27.1479555Z [ OK ] TensorIndexingTest.TestBoolIndices (0 ms) 2022-11-23T02:18:27.1480117Z [ RUN ] TensorIndexingTest.TestBoolIndicesAccumulate 2022-11-23T02:18:27.1480777Z [ OK ] TensorIndexingTest.TestBoolIndicesAccumulate (0 ms) 2022-11-23T02:18:27.1481314Z [ RUN ] TensorIndexingTest.TestMultipleBoolIndices 2022-11-23T02:18:27.1481720Z [ OK ] TensorIndexingTest.TestMultipleBoolIndices (0 ms) 2022-11-23T02:18:27.1482112Z [ RUN ] TensorIndexingTest.TestByteMask 2022-11-23T02:18:27.1483083Z [ OK ] TensorIndexingTest.TestByteMask (0 ms) 2022-11-23T02:18:27.1483523Z [ RUN ] TensorIndexingTest.TestByteMaskAccumulate 2022-11-23T02:18:27.1484380Z [ OK ] TensorIndexingTest.TestByteMaskAccumulate (0 ms) 2022-11-23T02:18:27.1484911Z [ RUN ] TensorIndexingTest.TestMultipleByteMask 2022-11-23T02:18:27.1485410Z [ OK ] TensorIndexingTest.TestMultipleByteMask (0 ms) 2022-11-23T02:18:27.1485838Z [ RUN ] TensorIndexingTest.TestByteMask2d 2022-11-23T02:18:27.1486550Z [ OK ] TensorIndexingTest.TestByteMask2d (0 ms) 2022-11-23T02:18:27.1487063Z [ RUN ] TensorIndexingTest.TestIntIndices 2022-11-23T02:18:27.1487676Z [ OK ] TensorIndexingTest.TestIntIndices (0 ms) 2022-11-23T02:18:27.1488039Z [ RUN ] TensorIndexingTest.TestIntIndices2d 2022-11-23T02:18:27.1489380Z [ OK ] TensorIndexingTest.TestIntIndices2d (0 ms) 2022-11-23T02:18:27.1489801Z [ RUN ] TensorIndexingTest.TestIntIndicesBroadcast 2022-11-23T02:18:27.1490416Z [ OK ] TensorIndexingTest.TestIntIndicesBroadcast (0 ms) 2022-11-23T02:18:27.1490778Z [ RUN ] TensorIndexingTest.TestEmptyIndex 2022-11-23T02:18:27.1491269Z [ OK ] TensorIndexingTest.TestEmptyIndex (0 ms) 2022-11-23T02:18:27.1491623Z [ RUN ] TensorIndexingTest.TestEmptyNdimIndex 2022-11-23T02:18:27.1549684Z [ OK ] TensorIndexingTest.TestEmptyNdimIndex (5 ms) 2022-11-23T02:18:27.1550146Z [ RUN ] TensorIndexingTest.TestEmptyNdimIndexBool 2022-11-23T02:18:27.1571349Z [ OK ] TensorIndexingTest.TestEmptyNdimIndexBool (2 ms) 2022-11-23T02:18:27.1571771Z [ RUN ] TensorIndexingTest.TestEmptySlice 2022-11-23T02:18:27.1572228Z [ OK ] TensorIndexingTest.TestEmptySlice (0 ms) 2022-11-23T02:18:27.1572619Z [ RUN ] TensorIndexingTest.TestIndexGetitemCopyBoolsSlices 2022-11-23T02:18:27.1573628Z [ OK ] TensorIndexingTest.TestIndexGetitemCopyBoolsSlices (0 ms) 2022-11-23T02:18:27.1574064Z [ RUN ] TensorIndexingTest.TestIndexSetitemBoolsSlices 2022-11-23T02:18:27.1663411Z [ OK ] TensorIndexingTest.TestIndexSetitemBoolsSlices (8 ms) 2022-11-23T02:18:27.1663903Z [ RUN ] TensorIndexingTest.TestIndexScalarWithBoolMask 2022-11-23T02:18:27.1664849Z [ OK ] TensorIndexingTest.TestIndexScalarWithBoolMask (0 ms) 2022-11-23T02:18:27.1665346Z [ RUN ] TensorIndexingTest.TestSetitemExpansionError 2022-11-23T02:18:27.1777863Z [ OK ] TensorIndexingTest.TestSetitemExpansionError (11 ms) 2022-11-23T02:18:27.1778302Z [ RUN ] TensorIndexingTest.TestGetitemScalars 2022-11-23T02:18:27.1885499Z [ OK ] TensorIndexingTest.TestGetitemScalars (10 ms) 2022-11-23T02:18:27.1885884Z [ RUN ] TensorIndexingTest.TestSetitemScalars 2022-11-23T02:18:27.1993026Z [ OK ] TensorIndexingTest.TestSetitemScalars (10 ms) 2022-11-23T02:18:27.1993498Z [ RUN ] TensorIndexingTest.TestBasicAdvancedCombined 2022-11-23T02:18:27.1994983Z [ OK ] TensorIndexingTest.TestBasicAdvancedCombined (0 ms) 2022-11-23T02:18:27.1995470Z [ RUN ] TensorIndexingTest.TestIntAssignment 2022-11-23T02:18:27.1996213Z [ OK ] TensorIndexingTest.TestIntAssignment (0 ms) 2022-11-23T02:18:27.1996644Z [ RUN ] TensorIndexingTest.TestByteTensorAssignment 2022-11-23T02:18:27.1998334Z [ OK ] TensorIndexingTest.TestByteTensorAssignment (0 ms) 2022-11-23T02:18:27.1998728Z [ RUN ] TensorIndexingTest.TestVariableSlicing 2022-11-23T02:18:27.1999204Z [ OK ] TensorIndexingTest.TestVariableSlicing (0 ms) 2022-11-23T02:18:27.1999579Z [ RUN ] TensorIndexingTest.TestEllipsisTensor 2022-11-23T02:18:27.2000074Z [ OK ] TensorIndexingTest.TestEllipsisTensor (0 ms) 2022-11-23T02:18:27.2000449Z [ RUN ] TensorIndexingTest.TestOutOfBoundIndex 2022-11-23T02:18:27.2095406Z [ OK ] TensorIndexingTest.TestOutOfBoundIndex (9 ms) 2022-11-23T02:18:27.2095969Z [ RUN ] TensorIndexingTest.TestZeroDimIndex 2022-11-23T02:18:27.2115914Z [ OK ] TensorIndexingTest.TestZeroDimIndex (2 ms) 2022-11-23T02:18:27.2116603Z [----------] 36 tests from TensorIndexingTest (74 ms total) 2022-11-23T02:18:27.2116784Z 2022-11-23T02:18:27.2116934Z [----------] 18 tests from NumpyTests 2022-11-23T02:18:27.2117487Z [ RUN ] NumpyTests.TestNoneIndex 2022-11-23T02:18:27.2117780Z [ OK ] NumpyTests.TestNoneIndex (0 ms) 2022-11-23T02:18:27.2118092Z [ RUN ] NumpyTests.TestEmptyFancyIndex 2022-11-23T02:18:27.2169497Z [ OK ] NumpyTests.TestEmptyFancyIndex (5 ms) 2022-11-23T02:18:27.2170078Z [ RUN ] NumpyTests.TestEllipsisIndex 2022-11-23T02:18:27.2170795Z [ OK ] NumpyTests.TestEllipsisIndex (0 ms) 2022-11-23T02:18:27.2171386Z [ RUN ] NumpyTests.TestSingleIntIndex 2022-11-23T02:18:27.2192553Z [ OK ] NumpyTests.TestSingleIntIndex (2 ms) 2022-11-23T02:18:27.2193142Z [ RUN ] NumpyTests.TestSingleBoolIndex 2022-11-23T02:18:27.2193780Z [ OK ] NumpyTests.TestSingleBoolIndex (0 ms) 2022-11-23T02:18:27.2194393Z [ RUN ] NumpyTests.TestBooleanShapeMismatch 2022-11-23T02:18:27.2402025Z [ OK ] NumpyTests.TestBooleanShapeMismatch (20 ms) 2022-11-23T02:18:27.2403020Z [ RUN ] NumpyTests.TestBooleanIndexingOnedim 2022-11-23T02:18:27.2403432Z [ OK ] NumpyTests.TestBooleanIndexingOnedim (0 ms) 2022-11-23T02:18:27.2403868Z [ RUN ] NumpyTests.TestBooleanAssignmentValueMismatch 2022-11-23T02:18:27.2555222Z [ OK ] NumpyTests.TestBooleanAssignmentValueMismatch (15 ms) 2022-11-23T02:18:27.2555653Z [ RUN ] NumpyTests.TestBooleanIndexingTwodim 2022-11-23T02:18:27.2557636Z [ OK ] NumpyTests.TestBooleanIndexingTwodim (0 ms) 2022-11-23T02:18:27.2558077Z [ RUN ] NumpyTests.TestBooleanIndexingWeirdness 2022-11-23T02:18:27.2666112Z [ OK ] NumpyTests.TestBooleanIndexingWeirdness (10 ms) 2022-11-23T02:18:27.2666520Z [ RUN ] NumpyTests.TestBooleanIndexingWeirdnessTensors 2022-11-23T02:18:27.2775033Z [ OK ] NumpyTests.TestBooleanIndexingWeirdnessTensors (10 ms) 2022-11-23T02:18:27.2775780Z [ RUN ] NumpyTests.TestBooleanIndexingAlldims 2022-11-23T02:18:27.2776220Z [ OK ] NumpyTests.TestBooleanIndexingAlldims (0 ms) 2022-11-23T02:18:27.2776741Z [ RUN ] NumpyTests.TestBooleanListIndexing 2022-11-23T02:18:27.2777611Z [ OK ] NumpyTests.TestBooleanListIndexing (0 ms) 2022-11-23T02:18:27.2777972Z [ RUN ] NumpyTests.TestEverythingReturnsViews 2022-11-23T02:18:27.2778339Z [ OK ] NumpyTests.TestEverythingReturnsViews (0 ms) 2022-11-23T02:18:27.2778695Z [ RUN ] NumpyTests.TestBroaderrorsIndexing 2022-11-23T02:18:27.2991891Z [ OK ] NumpyTests.TestBroaderrorsIndexing (21 ms) 2022-11-23T02:18:27.2992270Z [ RUN ] NumpyTests.TestTrivialFancyOutOfBounds 2022-11-23T02:18:27.3261973Z [ OK ] NumpyTests.TestTrivialFancyOutOfBounds (26 ms) 2022-11-23T02:18:27.3262404Z [ RUN ] NumpyTests.TestIndexIsLarger 2022-11-23T02:18:27.3263020Z [ OK ] NumpyTests.TestIndexIsLarger (0 ms) 2022-11-23T02:18:27.3263374Z [ RUN ] NumpyTests.TestBroadcastSubspace 2022-11-23T02:18:27.3265819Z [ OK ] NumpyTests.TestBroadcastSubspace (0 ms) 2022-11-23T02:18:27.3266348Z [----------] 18 tests from NumpyTests (114 ms total) 2022-11-23T02:18:27.3266583Z 2022-11-23T02:18:27.3266876Z [----------] 5 tests from TensorOptionsTest 2022-11-23T02:18:27.3267516Z [ RUN ] TensorOptionsTest.DefaultsToTheRightValues 2022-11-23T02:18:27.3267923Z [ OK ] TensorOptionsTest.DefaultsToTheRightValues (0 ms) 2022-11-23T02:18:27.3268376Z [ RUN ] TensorOptionsTest.UtilityFunctionsReturnTheRightTensorOptions 2022-11-23T02:18:27.3268906Z [ OK ] TensorOptionsTest.UtilityFunctionsReturnTheRightTensorOptions (0 ms) 2022-11-23T02:18:27.3269446Z [ RUN ] TensorOptionsTest.ConstructsWellFromCPUTypes 2022-11-23T02:18:27.3270062Z [ OK ] TensorOptionsTest.ConstructsWellFromCPUTypes (0 ms) 2022-11-23T02:18:27.3270546Z [ RUN ] TensorOptionsTest.ConstructsWellFromCPUTensors 2022-11-23T02:18:27.3270966Z [ OK ] TensorOptionsTest.ConstructsWellFromCPUTensors (0 ms) 2022-11-23T02:18:27.3271380Z [ RUN ] TensorOptionsTest.ConstructsWellFromVariables 2022-11-23T02:18:27.3271786Z [ OK ] TensorOptionsTest.ConstructsWellFromVariables (0 ms) 2022-11-23T02:18:27.3272168Z [----------] 5 tests from TensorOptionsTest (0 ms total) 2022-11-23T02:18:27.3272328Z 2022-11-23T02:18:27.3272468Z [----------] 1 test from DeviceTest 2022-11-23T02:18:27.3272781Z [ RUN ] DeviceTest.ParsesCorrectlyFromString 2022-11-23T02:18:27.3353299Z [ OK ] DeviceTest.ParsesCorrectlyFromString (8 ms) 2022-11-23T02:18:27.3353906Z [----------] 1 test from DeviceTest (8 ms total) 2022-11-23T02:18:27.3354162Z 2022-11-23T02:18:27.3354400Z [----------] 3 tests from DefaultDtypeTest 2022-11-23T02:18:27.3354774Z [ RUN ] DefaultDtypeTest.CanSetAndGetDefaultDtype 2022-11-23T02:18:27.3355156Z [ OK ] DefaultDtypeTest.CanSetAndGetDefaultDtype (0 ms) 2022-11-23T02:18:27.3355577Z [ RUN ] DefaultDtypeTest.NewTensorOptionsHasCorrectDefault 2022-11-23T02:18:27.3356027Z [ OK ] DefaultDtypeTest.NewTensorOptionsHasCorrectDefault (0 ms) 2022-11-23T02:18:27.3356455Z [ RUN ] DefaultDtypeTest.NewTensorsHaveCorrectDefaultDtype 2022-11-23T02:18:27.3356901Z [ OK ] DefaultDtypeTest.NewTensorsHaveCorrectDefaultDtype (0 ms) 2022-11-23T02:18:27.3357297Z [----------] 3 tests from DefaultDtypeTest (0 ms total) 2022-11-23T02:18:27.3357455Z 2022-11-23T02:18:27.3357609Z [----------] 1 test from TorchIncludeTest 2022-11-23T02:18:27.3357909Z [ RUN ] TorchIncludeTest.GetSetNumThreads 2022-11-23T02:18:27.3358255Z [ OK ] TorchIncludeTest.GetSetNumThreads (0 ms) 2022-11-23T02:18:27.3358605Z [----------] 1 test from TorchIncludeTest (0 ms total) 2022-11-23T02:18:27.3358763Z 2022-11-23T02:18:27.3358911Z [----------] 28 tests from InferenceModeTest 2022-11-23T02:18:27.3359218Z [ RUN ] InferenceModeTest.TestTLSState 2022-11-23T02:18:27.3359548Z [ OK ] InferenceModeTest.TestTLSState (0 ms) 2022-11-23T02:18:27.3359918Z [ RUN ] InferenceModeTest.TestInferenceTensorCreation 2022-11-23T02:18:27.3360321Z [ OK ] InferenceModeTest.TestInferenceTensorCreation (0 ms) 2022-11-23T02:18:27.3360731Z [ RUN ] InferenceModeTest.TestExistingAutogradSession 2022-11-23T02:18:27.3426492Z [ OK ] InferenceModeTest.TestExistingAutogradSession (7 ms) 2022-11-23T02:18:27.3427346Z [ RUN ] InferenceModeTest.TestInferenceTensorInInferenceModeFunctionalOp 2022-11-23T02:18:27.3428082Z [ OK ] InferenceModeTest.TestInferenceTensorInInferenceModeFunctionalOp (0 ms) 2022-11-23T02:18:27.3428624Z [ RUN ] InferenceModeTest.TestInferenceTensorInInferenceModeInplaceOp 2022-11-23T02:18:27.3429152Z [ OK ] InferenceModeTest.TestInferenceTensorInInferenceModeInplaceOp (0 ms) 2022-11-23T02:18:27.3429719Z [ RUN ] InferenceModeTest.TestInferenceTensorInInferenceModeViewOp 2022-11-23T02:18:27.3430218Z [ OK ] InferenceModeTest.TestInferenceTensorInInferenceModeViewOp (0 ms) 2022-11-23T02:18:27.3430727Z [ RUN ] InferenceModeTest.TestInferenceTensorInNormalModeFunctionalOp 2022-11-23T02:18:27.3431239Z [ OK ] InferenceModeTest.TestInferenceTensorInNormalModeFunctionalOp (0 ms) 2022-11-23T02:18:27.3431750Z [ RUN ] InferenceModeTest.TestInferenceTensorInNormalModeInplaceOp 2022-11-23T02:18:27.3482213Z [ OK ] InferenceModeTest.TestInferenceTensorInNormalModeInplaceOp (5 ms) 2022-11-23T02:18:27.3482911Z [ RUN ] InferenceModeTest.TestInferenceTensorInNormalModeViewOp 2022-11-23T02:18:27.3483922Z [ OK ] InferenceModeTest.TestInferenceTensorInNormalModeViewOp (0 ms) 2022-11-23T02:18:27.3484526Z [ RUN ] InferenceModeTest.TestNormalTensorInplaceOutputInInferenceMode 2022-11-23T02:18:27.3485062Z [ OK ] InferenceModeTest.TestNormalTensorInplaceOutputInInferenceMode (0 ms) 2022-11-23T02:18:27.3485581Z [ RUN ] InferenceModeTest.TestNormalTensorInplaceOutputInNormalMode 2022-11-23T02:18:27.3486078Z [ OK ] InferenceModeTest.TestNormalTensorInplaceOutputInNormalMode (0 ms) 2022-11-23T02:18:27.3486590Z [ RUN ] InferenceModeTest.TestNormalTensorViewOutputInInferenceMode 2022-11-23T02:18:27.3487099Z [ OK ] InferenceModeTest.TestNormalTensorViewOutputInInferenceMode (0 ms) 2022-11-23T02:18:27.3487579Z [ RUN ] InferenceModeTest.TestNormalTensorViewOutputInNormalMode 2022-11-23T02:18:27.3517391Z [ OK ] InferenceModeTest.TestNormalTensorViewOutputInNormalMode (3 ms) 2022-11-23T02:18:27.3517916Z [ RUN ] InferenceModeTest.TestMixInferenceAndNormalTensorFunctionalOp 2022-11-23T02:18:27.3549815Z [ OK ] InferenceModeTest.TestMixInferenceAndNormalTensorFunctionalOp (3 ms) 2022-11-23T02:18:27.3550323Z [ RUN ] InferenceModeTest.TestMixInferenceAndNormalTensorInplaceOp 2022-11-23T02:18:27.3632605Z [ OK ] InferenceModeTest.TestMixInferenceAndNormalTensorInplaceOp (8 ms) 2022-11-23T02:18:27.3633187Z [ RUN ] InferenceModeTest.TestMixInferenceAndNormalTensorViewOp 2022-11-23T02:18:27.3633683Z [ OK ] InferenceModeTest.TestMixInferenceAndNormalTensorViewOp (0 ms) 2022-11-23T02:18:27.3634183Z [ RUN ] InferenceModeTest.TestHandleDirectViewOnRebase 2022-11-23T02:18:27.3664997Z [ OK ] InferenceModeTest.TestHandleDirectViewOnRebase (3 ms) 2022-11-23T02:18:27.3665439Z [ RUN ] InferenceModeTest.TestHandleInDirectViewOnRebase 2022-11-23T02:18:27.3687304Z [ OK ] InferenceModeTest.TestHandleInDirectViewOnRebase (2 ms) 2022-11-23T02:18:27.3687729Z [ RUN ] InferenceModeTest.TestCreationMetaPropagation 2022-11-23T02:18:27.3749618Z [ OK ] InferenceModeTest.TestCreationMetaPropagation (6 ms) 2022-11-23T02:18:27.3750061Z [ RUN ] InferenceModeTest.TestCreationMetaPropagationInput 2022-11-23T02:18:27.3873222Z [ OK ] InferenceModeTest.TestCreationMetaPropagationInput (12 ms) 2022-11-23T02:18:27.3873697Z [ RUN ] InferenceModeTest.TestInplaceCopyOnInferenceTensor 2022-11-23T02:18:27.3946153Z [ OK ] InferenceModeTest.TestInplaceCopyOnInferenceTensor (7 ms) 2022-11-23T02:18:27.3946605Z [ RUN ] InferenceModeTest.TestSetRequiresGradInNormalMode 2022-11-23T02:18:27.3956545Z [ OK ] InferenceModeTest.TestSetRequiresGradInNormalMode (1 ms) 2022-11-23T02:18:27.3957009Z [ RUN ] InferenceModeTest.TestAccessVersionCounter 2022-11-23T02:18:27.3991317Z [ OK ] InferenceModeTest.TestAccessVersionCounter (3 ms) 2022-11-23T02:18:27.3991817Z [ RUN ] InferenceModeTest.TestInplaceUpdateInferenceTensorWithNormalTensor 2022-11-23T02:18:27.4063789Z [ OK ] InferenceModeTest.TestInplaceUpdateInferenceTensorWithNormalTensor (7 ms) 2022-11-23T02:18:27.4064520Z [ RUN ] InferenceModeTest.TestComplexViewInInferenceMode 2022-11-23T02:18:27.4065160Z [ OK ] InferenceModeTest.TestComplexViewInInferenceMode (0 ms) 2022-11-23T02:18:27.4065851Z [ RUN ] InferenceModeTest.TestComplexViewInNormalMode 2022-11-23T02:18:27.4066560Z [ OK ] InferenceModeTest.TestComplexViewInNormalMode (0 ms) 2022-11-23T02:18:27.4066947Z [ RUN ] InferenceModeTest.TestCustomFunction 2022-11-23T02:18:27.4067320Z [ OK ] InferenceModeTest.TestCustomFunction (0 ms) 2022-11-23T02:18:27.4067939Z [ RUN ] InferenceModeTest.TestLegacyAutoNonVariableTypeModeWarning 2022-11-23T02:18:27.4068502Z [ OK ] InferenceModeTest.TestLegacyAutoNonVariableTypeModeWarning (0 ms) 2022-11-23T02:18:27.4068938Z [----------] 28 tests from InferenceModeTest (71 ms total) 2022-11-23T02:18:27.4069102Z 2022-11-23T02:18:27.4069326Z [----------] 4 tests from GradModeTest 2022-11-23T02:18:27.4069654Z [ RUN ] GradModeTest.TestRequiresGradFunctionalOp 2022-11-23T02:18:27.4070045Z [ OK ] GradModeTest.TestRequiresGradFunctionalOp (0 ms) 2022-11-23T02:18:27.4070427Z [ RUN ] GradModeTest.TestRequiresGradInplaceOp 2022-11-23T02:18:27.4070787Z [ OK ] GradModeTest.TestRequiresGradInplaceOp (0 ms) 2022-11-23T02:18:27.4071144Z [ RUN ] GradModeTest.TestRequiresGradViewOp 2022-11-23T02:18:27.4071497Z [ OK ] GradModeTest.TestRequiresGradViewOp (0 ms) 2022-11-23T02:18:27.4071852Z [ RUN ] GradModeTest.TestRequiresGradViewOpExiting 2022-11-23T02:18:27.4099265Z [ OK ] GradModeTest.TestRequiresGradViewOpExiting (3 ms) 2022-11-23T02:18:27.4099969Z [----------] 4 tests from GradModeTest (3 ms total) 2022-11-23T02:18:27.4100137Z 2022-11-23T02:18:27.4100290Z [----------] 3 tests from OperationTest 2022-11-23T02:18:27.4100546Z [ RUN ] OperationTest.Lerp 2022-11-23T02:18:27.4109935Z [ OK ] OperationTest.Lerp (1 ms) 2022-11-23T02:18:27.4110453Z [ RUN ] OperationTest.Cross 2022-11-23T02:18:27.4153242Z [ OK ] OperationTest.Cross (4 ms) 2022-11-23T02:18:27.4153758Z [ RUN ] OperationTest.Linear_out 2022-11-23T02:18:27.4156573Z [ OK ] OperationTest.Linear_out (0 ms) 2022-11-23T02:18:27.4157178Z [----------] 3 tests from OperationTest (5 ms total) 2022-11-23T02:18:27.4157369Z 2022-11-23T02:18:27.4157527Z [----------] Global test environment tear-down 2022-11-23T02:18:27.4256577Z [==========] 992 tests from 48 test suites ran. (48786 ms total) 2022-11-23T02:18:27.4257064Z [ PASSED ] 992 tests. 2022-11-23T02:18:27.5026826Z + /opt/conda/lib/python3.7/site-packages/torch/bin/test_tensorexpr --gtest_output=xml:test/test-reports/cpp-unittest/test_libtorch/test_tensorexpr.xml 2022-11-23T02:18:27.8238053Z CUDA not available. Disabling CUDA and MultiCUDA tests 2022-11-23T02:18:27.8242076Z Note: Google Test filter = *-*_CUDA:*_MultiCUDA 2022-11-23T02:18:27.8242642Z [==========] Running 801 tests from 25 test suites. 2022-11-23T02:18:27.8242981Z [----------] Global test environment set-up. 2022-11-23T02:18:27.8243260Z [----------] 1 test from Approx 2022-11-23T02:18:27.8243495Z [ RUN ] Approx.log_vml 2022-11-23T02:18:29.1216914Z [ OK ] Approx.log_vml (1297 ms) 2022-11-23T02:18:29.1217473Z [----------] 1 test from Approx (1297 ms total) 2022-11-23T02:18:29.1217729Z 2022-11-23T02:18:29.1217976Z [----------] 34 tests from ATen 2022-11-23T02:18:29.1218442Z [ RUN ] ATen._cast_Float 2022-11-23T02:18:29.1220415Z [ OK ] ATen._cast_Float (0 ms) 2022-11-23T02:18:29.1220862Z [ RUN ] ATen.negInt 2022-11-23T02:18:29.1224554Z [ OK ] ATen.negInt (0 ms) 2022-11-23T02:18:29.1224805Z [ RUN ] ATen.negFloat 2022-11-23T02:18:29.1242417Z [ OK ] ATen.negFloat (1 ms) 2022-11-23T02:18:29.1242816Z [ RUN ] ATen.addInt 2022-11-23T02:18:29.1249185Z [ OK ] ATen.addInt (0 ms) 2022-11-23T02:18:29.1249469Z [ RUN ] ATen.addFloat 2022-11-23T02:18:29.1255917Z [ OK ] ATen.addFloat (0 ms) 2022-11-23T02:18:29.1256190Z [ RUN ] ATen.subInt 2022-11-23T02:18:29.1262277Z [ OK ] ATen.subInt (0 ms) 2022-11-23T02:18:29.1262558Z [ RUN ] ATen.subFloat 2022-11-23T02:18:29.1268353Z [ OK ] ATen.subFloat (0 ms) 2022-11-23T02:18:29.1268622Z [ RUN ] ATen.lerp 2022-11-23T02:18:29.1276331Z [ OK ] ATen.lerp (0 ms) 2022-11-23T02:18:29.1276636Z [ RUN ] ATen.addcmulInt 2022-11-23T02:18:29.1284078Z [ OK ] ATen.addcmulInt (0 ms) 2022-11-23T02:18:29.1284389Z [ RUN ] ATen.addcmulFloat 2022-11-23T02:18:29.1292010Z [ OK ] ATen.addcmulFloat (0 ms) 2022-11-23T02:18:29.1292291Z [ RUN ] ATen.mulInt 2022-11-23T02:18:29.1296531Z [ OK ] ATen.mulInt (0 ms) 2022-11-23T02:18:29.1296786Z [ RUN ] ATen.mulFloat 2022-11-23T02:18:29.1301169Z [ OK ] ATen.mulFloat (0 ms) 2022-11-23T02:18:29.1301443Z [ RUN ] ATen.divInt 2022-11-23T02:18:29.1305635Z [ OK ] ATen.divInt (0 ms) 2022-11-23T02:18:29.1305887Z [ RUN ] ATen.divFloat 2022-11-23T02:18:29.1310406Z [ OK ] ATen.divFloat (0 ms) 2022-11-23T02:18:29.1310688Z [ RUN ] ATen.maxInt 2022-11-23T02:18:29.1314933Z [ OK ] ATen.maxInt (0 ms) 2022-11-23T02:18:29.1315216Z [ RUN ] ATen.maxFloat 2022-11-23T02:18:29.1319430Z [ OK ] ATen.maxFloat (0 ms) 2022-11-23T02:18:29.1319696Z [ RUN ] ATen.minInt 2022-11-23T02:18:29.1323904Z [ OK ] ATen.minInt (0 ms) 2022-11-23T02:18:29.1324191Z [ RUN ] ATen.minFloat 2022-11-23T02:18:29.1328427Z [ OK ] ATen.minFloat (0 ms) 2022-11-23T02:18:29.1328717Z [ RUN ] ATen.reluInt 2022-11-23T02:18:29.1331874Z [ OK ] ATen.reluInt (0 ms) 2022-11-23T02:18:29.1332149Z [ RUN ] ATen.reluFloat 2022-11-23T02:18:29.1335567Z [ OK ] ATen.reluFloat (0 ms) 2022-11-23T02:18:29.1335865Z [ RUN ] ATen.logFloat 2022-11-23T02:18:29.1339340Z [ OK ] ATen.logFloat (0 ms) 2022-11-23T02:18:29.1339586Z [ RUN ] ATen.fastLogFloat 2022-11-23T02:18:29.1496631Z [ OK ] ATen.fastLogFloat (15 ms) 2022-11-23T02:18:29.1496937Z [ RUN ] ATen.fastTanhFloat 2022-11-23T02:18:29.1554928Z [ OK ] ATen.fastTanhFloat (5 ms) 2022-11-23T02:18:29.1555285Z [ RUN ] ATen.fastSigmoidFloat 2022-11-23T02:18:29.1631664Z [ OK ] ATen.fastSigmoidFloat (7 ms) 2022-11-23T02:18:29.1632149Z [ RUN ] ATen.log10Float 2022-11-23T02:18:29.1635216Z [ OK ] ATen.log10Float (0 ms) 2022-11-23T02:18:29.1635686Z [ RUN ] ATen.log2Float 2022-11-23T02:18:29.1638733Z [ OK ] ATen.log2Float (0 ms) 2022-11-23T02:18:29.1639186Z [ RUN ] ATen.expFloat 2022-11-23T02:18:29.1642093Z [ OK ] ATen.expFloat (0 ms) 2022-11-23T02:18:29.1642558Z [ RUN ] ATen.erfFloat 2022-11-23T02:18:29.1645706Z [ OK ] ATen.erfFloat (0 ms) 2022-11-23T02:18:29.1646168Z [ RUN ] ATen.cosFloat 2022-11-23T02:18:29.1649224Z [ OK ] ATen.cosFloat (0 ms) 2022-11-23T02:18:29.1649677Z [ RUN ] ATen.eqInt 2022-11-23T02:18:29.1654468Z [ OK ] ATen.eqInt (0 ms) 2022-11-23T02:18:29.1654909Z [ RUN ] ATen.geInt 2022-11-23T02:18:29.1659649Z [ OK ] ATen.geInt (0 ms) 2022-11-23T02:18:29.1660078Z [ RUN ] ATen.gtInt 2022-11-23T02:18:29.1664663Z [ OK ] ATen.gtInt (0 ms) 2022-11-23T02:18:29.1665103Z [ RUN ] ATen.leInt 2022-11-23T02:18:29.1669652Z [ OK ] ATen.leInt (0 ms) 2022-11-23T02:18:29.1670066Z [ RUN ] ATen.ltInt 2022-11-23T02:18:29.1674561Z [ OK ] ATen.ltInt (0 ms) 2022-11-23T02:18:29.1675076Z [----------] 34 tests from ATen (45 ms total) 2022-11-23T02:18:29.1675349Z 2022-11-23T02:18:29.1675615Z [----------] 26 tests from BoundsInference 2022-11-23T02:18:29.1675912Z [ RUN ] BoundsInference._1 2022-11-23T02:18:29.1677337Z [ OK ] BoundsInference._1 (0 ms) 2022-11-23T02:18:29.1677744Z [ RUN ] BoundsInference._2 2022-11-23T02:18:29.1679631Z [ OK ] BoundsInference._2 (0 ms) 2022-11-23T02:18:29.1679898Z [ RUN ] BoundsInference._3 2022-11-23T02:18:29.1682235Z [ OK ] BoundsInference._3 (0 ms) 2022-11-23T02:18:29.1682499Z [ RUN ] BoundsInference._4 2022-11-23T02:18:29.1687589Z [ OK ] BoundsInference._4 (0 ms) 2022-11-23T02:18:29.1687872Z [ RUN ] BoundsInference._5 2022-11-23T02:18:29.1700897Z [ OK ] BoundsInference._5 (1 ms) 2022-11-23T02:18:29.1701207Z [ RUN ] BoundsInference._6 2022-11-23T02:18:29.1710266Z [ OK ] BoundsInference._6 (0 ms) 2022-11-23T02:18:29.1710608Z [ RUN ] BoundsInference.Adjacent 2022-11-23T02:18:29.1716073Z [ OK ] BoundsInference.Adjacent (0 ms) 2022-11-23T02:18:29.1716461Z [ RUN ] BoundsInference.MultipleTopLoopLoad 2022-11-23T02:18:29.1721104Z [ OK ] BoundsInference.MultipleTopLoopLoad (0 ms) 2022-11-23T02:18:29.1721514Z [ RUN ] BoundsInference.MultipleTopLoopStore 2022-11-23T02:18:29.1725966Z [ OK ] BoundsInference.MultipleTopLoopStore (0 ms) 2022-11-23T02:18:29.1726363Z [ RUN ] BoundsInference.CacheReads 2022-11-23T02:18:29.1753986Z [ OK ] BoundsInference.CacheReads (2 ms) 2022-11-23T02:18:29.1754278Z [ RUN ] BoundsInference.Flattened 2022-11-23T02:18:29.1766804Z [ OK ] BoundsInference.Flattened (1 ms) 2022-11-23T02:18:29.1767215Z [ RUN ] BoundsInference.GetPotentialHazards 2022-11-23T02:18:29.1768536Z [ OK ] BoundsInference.GetPotentialHazards (0 ms) 2022-11-23T02:18:29.1768936Z [ RUN ] BoundsInference.GetPotentialHazardsLoopNoHazard 2022-11-23T02:18:29.1772423Z [ OK ] BoundsInference.GetPotentialHazardsLoopNoHazard (0 ms) 2022-11-23T02:18:29.1772839Z [ RUN ] BoundsInference.GetPotentialHazardsLoopCall 2022-11-23T02:18:29.1777406Z [ OK ] BoundsInference.GetPotentialHazardsLoopCall (0 ms) 2022-11-23T02:18:29.1777899Z [ RUN ] BoundsInference.GetPotentialHazardsLoopSplit 2022-11-23T02:18:29.1790952Z [ OK ] BoundsInference.GetPotentialHazardsLoopSplit (1 ms) 2022-11-23T02:18:29.1812652Z [ RUN ] BoundsInference.HasConflictingOverlapSameBufferWithPartialOverlap 2022-11-23T02:18:29.1813730Z [ OK ] BoundsInference.HasConflictingOverlapSameBufferWithPartialOverlap (0 ms) 2022-11-23T02:18:29.1814742Z [ RUN ] BoundsInference.HasConflictingOverlapSameBufferWithFullOverlap 2022-11-23T02:18:29.1815736Z [ OK ] BoundsInference.HasConflictingOverlapSameBufferWithFullOverlap (0 ms) 2022-11-23T02:18:29.1816696Z [ RUN ] BoundsInference.HasConflictingOverlapSameBufferWithFullOverlapRAW 2022-11-23T02:18:29.1817725Z [ OK ] BoundsInference.HasConflictingOverlapSameBufferWithFullOverlapRAW (0 ms) 2022-11-23T02:18:29.1818733Z [ RUN ] BoundsInference.HasConflictingOverlapSameBufferNotOverlapping 2022-11-23T02:18:29.1819998Z [ OK ] BoundsInference.HasConflictingOverlapSameBufferNotOverlapping (0 ms) 2022-11-23T02:18:29.1820929Z [ RUN ] BoundsInference.HasConflictingOverlap2DBufferWithOverlap 2022-11-23T02:18:29.1827142Z [ OK ] BoundsInference.HasConflictingOverlap2DBufferWithOverlap (2 ms) 2022-11-23T02:18:29.1828060Z [ RUN ] BoundsInference.HasConflictingOverlap2DBufferWithNoOverlap 2022-11-23T02:18:29.1838364Z [ OK ] BoundsInference.HasConflictingOverlap2DBufferWithNoOverlap (1 ms) 2022-11-23T02:18:29.1839267Z [ RUN ] BoundsInference.HasConflictingOverlapDifferentBuffers 2022-11-23T02:18:29.1842428Z [ OK ] BoundsInference.HasConflictingOverlapDifferentBuffers (0 ms) 2022-11-23T02:18:29.1843308Z [ RUN ] BoundsInference.HasConflictingOverlapDueToRAWDependence 2022-11-23T02:18:29.1846559Z [ OK ] BoundsInference.HasConflictingOverlapDueToRAWDependence (0 ms) 2022-11-23T02:18:29.1847470Z [ RUN ] BoundsInference.HasConflictingOverlapDueToWARDependence 2022-11-23T02:18:29.1850316Z [ OK ] BoundsInference.HasConflictingOverlapDueToWARDependence (0 ms) 2022-11-23T02:18:29.1851142Z [ RUN ] BoundsInference.HasConflictingOverlapWithLoads 2022-11-23T02:18:29.1854081Z [ OK ] BoundsInference.HasConflictingOverlapWithLoads (0 ms) 2022-11-23T02:18:29.1854769Z [ RUN ] BoundsInference.IsOverlapping 2022-11-23T02:18:29.1878228Z [ OK ] BoundsInference.IsOverlapping (2 ms) 2022-11-23T02:18:29.1878868Z [----------] 26 tests from BoundsInference (20 ms total) 2022-11-23T02:18:29.1879130Z 2022-11-23T02:18:29.1879326Z [----------] 4 tests from Conv 2022-11-23T02:18:29.1879758Z [ RUN ] Conv.DepthwiseConv2D 2022-11-23T02:18:29.4540951Z [ OK ] Conv.DepthwiseConv2D (266 ms) 2022-11-23T02:18:29.4541516Z [ RUN ] Conv.DepthwiseConv2DNoBias 2022-11-23T02:18:29.7113929Z [ OK ] Conv.DepthwiseConv2DNoBias (257 ms) 2022-11-23T02:18:29.7114561Z [ RUN ] Conv.DepthwiseConv2DDynamicShapes 2022-11-23T02:18:29.9096055Z [ OK ] Conv.DepthwiseConv2DDynamicShapes (198 ms) 2022-11-23T02:18:29.9096456Z [ RUN ] Conv.Conv2D 2022-11-23T02:18:30.9024988Z [ OK ] Conv.Conv2D (992 ms) 2022-11-23T02:18:30.9025528Z [----------] 4 tests from Conv (1714 ms total) 2022-11-23T02:18:30.9025725Z 2022-11-23T02:18:30.9025925Z [----------] 28 tests from CppPrinter 2022-11-23T02:18:30.9026241Z [ RUN ] CppPrinter.IntImm 2022-11-23T02:18:30.9026605Z [ OK ] CppPrinter.IntImm (0 ms) 2022-11-23T02:18:30.9027049Z [ RUN ] CppPrinter.FloatImm 2022-11-23T02:18:30.9027538Z [ OK ] CppPrinter.FloatImm (0 ms) 2022-11-23T02:18:30.9027987Z [ RUN ] CppPrinter.FloatImm1 2022-11-23T02:18:30.9028413Z [ OK ] CppPrinter.FloatImm1 (0 ms) 2022-11-23T02:18:30.9028847Z [ RUN ] CppPrinter.DoubleImm 2022-11-23T02:18:30.9029360Z [ OK ] CppPrinter.DoubleImm (0 ms) 2022-11-23T02:18:30.9029650Z [ RUN ] CppPrinter.DoubleImm1 2022-11-23T02:18:30.9030110Z [ OK ] CppPrinter.DoubleImm1 (0 ms) 2022-11-23T02:18:30.9030440Z [ RUN ] CppPrinter.HalfImm 2022-11-23T02:18:30.9030843Z [ OK ] CppPrinter.HalfImm (0 ms) 2022-11-23T02:18:30.9031220Z [ RUN ] CppPrinter.Add 2022-11-23T02:18:30.9031515Z [ OK ] CppPrinter.Add (0 ms) 2022-11-23T02:18:30.9031806Z [ RUN ] CppPrinter.AddExpr1 2022-11-23T02:18:30.9032083Z [ OK ] CppPrinter.AddExpr1 (0 ms) 2022-11-23T02:18:30.9032398Z [ RUN ] CppPrinter.AddExpr2 2022-11-23T02:18:30.9032678Z [ OK ] CppPrinter.AddExpr2 (0 ms) 2022-11-23T02:18:30.9032955Z [ RUN ] CppPrinter.AddExpr3 2022-11-23T02:18:30.9033278Z [ OK ] CppPrinter.AddExpr3 (0 ms) 2022-11-23T02:18:30.9033537Z [ RUN ] CppPrinter.Mod 2022-11-23T02:18:30.9033806Z [ OK ] CppPrinter.Mod (0 ms) 2022-11-23T02:18:30.9034103Z [ RUN ] CppPrinter.ModFloat 2022-11-23T02:18:30.9034377Z [ OK ] CppPrinter.ModFloat (0 ms) 2022-11-23T02:18:30.9034685Z [ RUN ] CppPrinter.Max 2022-11-23T02:18:30.9034951Z [ OK ] CppPrinter.Max (0 ms) 2022-11-23T02:18:30.9035201Z [ RUN ] CppPrinter.MaxFloat 2022-11-23T02:18:30.9035534Z [ OK ] CppPrinter.MaxFloat (0 ms) 2022-11-23T02:18:30.9035799Z [ RUN ] CppPrinter.MaxHalf 2022-11-23T02:18:30.9036059Z [ OK ] CppPrinter.MaxHalf (0 ms) 2022-11-23T02:18:30.9036374Z [ RUN ] CppPrinter.And 2022-11-23T02:18:30.9036629Z [ OK ] CppPrinter.And (0 ms) 2022-11-23T02:18:30.9037234Z [ RUN ] CppPrinter.CompareSelect 2022-11-23T02:18:30.9037546Z [ OK ] CppPrinter.CompareSelect (0 ms) 2022-11-23T02:18:30.9037897Z [ RUN ] CppPrinter.IfThenElse 2022-11-23T02:18:30.9038173Z [ OK ] CppPrinter.IfThenElse (0 ms) 2022-11-23T02:18:30.9038472Z [ RUN ] CppPrinter.AllocateFree 2022-11-23T02:18:30.9038816Z [ OK ] CppPrinter.AllocateFree (0 ms) 2022-11-23T02:18:30.9039087Z [ RUN ] CppPrinter.LoadStore 2022-11-23T02:18:30.9039427Z [ OK ] CppPrinter.LoadStore (0 ms) 2022-11-23T02:18:30.9039696Z [ RUN ] CppPrinter.Var 2022-11-23T02:18:30.9039957Z [ OK ] CppPrinter.Var (0 ms) 2022-11-23T02:18:30.9040258Z [ RUN ] CppPrinter.Cast 2022-11-23T02:18:30.9040519Z [ OK ] CppPrinter.Cast (0 ms) 2022-11-23T02:18:30.9040780Z [ RUN ] CppPrinter.BitCast 2022-11-23T02:18:30.9041097Z [ OK ] CppPrinter.BitCast (0 ms) 2022-11-23T02:18:30.9041355Z [ RUN ] CppPrinter.Let 2022-11-23T02:18:30.9045943Z [ OK ] CppPrinter.Let (0 ms) 2022-11-23T02:18:30.9046270Z [ RUN ] CppPrinter.For 2022-11-23T02:18:30.9046570Z [ OK ] CppPrinter.For (0 ms) 2022-11-23T02:18:30.9046830Z [ RUN ] CppPrinter.Cond 2022-11-23T02:18:30.9047150Z [ OK ] CppPrinter.Cond (0 ms) 2022-11-23T02:18:30.9047428Z [ RUN ] CppPrinter.Intrinsics 2022-11-23T02:18:30.9047720Z [ OK ] CppPrinter.Intrinsics (0 ms) 2022-11-23T02:18:30.9048048Z [ RUN ] CppPrinter.ExternalCall 2022-11-23T02:18:30.9048346Z [ OK ] CppPrinter.ExternalCall (0 ms) 2022-11-23T02:18:30.9048715Z [----------] 28 tests from CppPrinter (0 ms total) 2022-11-23T02:18:30.9048867Z 2022-11-23T02:18:30.9049006Z [----------] 8 tests from DynamicShapes 2022-11-23T02:18:30.9049317Z [ RUN ] DynamicShapes.SimpleGraph 2022-11-23T02:18:30.9912471Z [ OK ] DynamicShapes.SimpleGraph (87 ms) 2022-11-23T02:18:30.9912842Z [ RUN ] DynamicShapes.GraphWith2InputsSameDims 2022-11-23T02:18:31.0680853Z [ OK ] DynamicShapes.GraphWith2InputsSameDims (76 ms) 2022-11-23T02:18:31.0681251Z [ RUN ] DynamicShapes.GraphWith2InputsAndBroadcast 2022-11-23T02:18:31.1419796Z [ OK ] DynamicShapes.GraphWith2InputsAndBroadcast (73 ms) 2022-11-23T02:18:31.1420213Z [ RUN ] DynamicShapes.GraphWithPartiallySymbolicOutput 2022-11-23T02:18:31.1876920Z [ OK ] DynamicShapes.GraphWithPartiallySymbolicOutput (45 ms) 2022-11-23T02:18:31.1877343Z [ RUN ] DynamicShapes.GraphWithSymbolicStrides 2022-11-23T02:18:31.3591044Z [ OK ] DynamicShapes.GraphWithSymbolicStrides (171 ms) 2022-11-23T02:18:31.3591440Z [ RUN ] DynamicShapes.GraphWithCatAndBroadcast 2022-11-23T02:18:31.8163908Z [ OK ] DynamicShapes.GraphWithCatAndBroadcast (457 ms) 2022-11-23T02:18:31.8164287Z [ RUN ] DynamicShapes.GraphFromModel 2022-11-23T02:18:32.2119546Z [ OK ] DynamicShapes.GraphFromModel (395 ms) 2022-11-23T02:18:32.2119897Z [ RUN ] DynamicShapes.MultiThreadedExecution 2022-11-23T02:18:32.2893384Z [ OK ] DynamicShapes.MultiThreadedExecution (77 ms) 2022-11-23T02:18:32.2894079Z [----------] 8 tests from DynamicShapes (1385 ms total) 2022-11-23T02:18:32.2894371Z 2022-11-23T02:18:32.2894526Z [----------] 30 tests from Expr 2022-11-23T02:18:32.2894779Z [ RUN ] Expr.BasicValueTest 2022-11-23T02:18:32.2895054Z [ OK ] Expr.BasicValueTest (0 ms) 2022-11-23T02:18:32.2895330Z [ RUN ] Expr.BasicValueTest02 2022-11-23T02:18:32.2895603Z [ OK ] Expr.BasicValueTest02 (0 ms) 2022-11-23T02:18:32.2895907Z [ RUN ] Expr.IsChannelsLastContiguous 2022-11-23T02:18:32.2896477Z [ OK ] Expr.IsChannelsLastContiguous (0 ms) 2022-11-23T02:18:32.2896746Z [ RUN ] Expr.LetTest01 2022-11-23T02:18:32.2897001Z [ OK ] Expr.LetTest01 (0 ms) 2022-11-23T02:18:32.2897246Z [ RUN ] Expr.LetTest02 2022-11-23T02:18:32.2897486Z [ OK ] Expr.LetTest02 (0 ms) 2022-11-23T02:18:32.2897741Z [ RUN ] Expr.LetStmtTest01 2022-11-23T02:18:32.2903040Z [ OK ] Expr.LetStmtTest01 (0 ms) 2022-11-23T02:18:32.2903524Z [ RUN ] Expr.IntTest 2022-11-23T02:18:32.2903941Z [ OK ] Expr.IntTest (0 ms) 2022-11-23T02:18:32.2904406Z [ RUN ] Expr.FloatTest 2022-11-23T02:18:32.2904898Z [ OK ] Expr.FloatTest (0 ms) 2022-11-23T02:18:32.2905354Z [ RUN ] Expr.ByteTest 2022-11-23T02:18:32.2905819Z [ OK ] Expr.ByteTest (0 ms) 2022-11-23T02:18:32.2906224Z [ RUN ] Expr.CharTest 2022-11-23T02:18:32.2906687Z [ OK ] Expr.CharTest (0 ms) 2022-11-23T02:18:32.2907130Z [ RUN ] Expr.ShortTest 2022-11-23T02:18:32.2907602Z [ OK ] Expr.ShortTest (0 ms) 2022-11-23T02:18:32.2908038Z [ RUN ] Expr.LongTest 2022-11-23T02:18:32.2908470Z [ OK ] Expr.LongTest (0 ms) 2022-11-23T02:18:32.2908903Z [ RUN ] Expr.HalfTest 2022-11-23T02:18:32.2909430Z [ OK ] Expr.HalfTest (0 ms) 2022-11-23T02:18:32.2909861Z [ RUN ] Expr.DoubleTest 2022-11-23T02:18:32.2910321Z [ OK ] Expr.DoubleTest (0 ms) 2022-11-23T02:18:32.2910776Z [ RUN ] Expr.VectorAdd01 2022-11-23T02:18:32.2922334Z [ OK ] Expr.VectorAdd01 (1 ms) 2022-11-23T02:18:32.2922807Z [ RUN ] Expr.CompareSelectEQ 2022-11-23T02:18:32.2959779Z [ OK ] Expr.CompareSelectEQ (3 ms) 2022-11-23T02:18:32.2960282Z [ RUN ] Expr.CompareSelectDtypes 2022-11-23T02:18:32.2997671Z [ OK ] Expr.CompareSelectDtypes (3 ms) 2022-11-23T02:18:32.2998193Z [ RUN ] Expr.IntrinsicsDtypes 2022-11-23T02:18:32.3004875Z [ OK ] Expr.IntrinsicsDtypes (0 ms) 2022-11-23T02:18:32.3005334Z [ RUN ] Expr.Substitute01 2022-11-23T02:18:32.3005782Z [ OK ] Expr.Substitute01 (0 ms) 2022-11-23T02:18:32.3006187Z [ RUN ] Expr.Math01 2022-11-23T02:18:32.3006582Z [ OK ] Expr.Math01 (0 ms) 2022-11-23T02:18:32.3006993Z [ RUN ] Expr.UnaryMath01 2022-11-23T02:18:32.3009018Z [ OK ] Expr.UnaryMath01 (0 ms) 2022-11-23T02:18:32.3009584Z [ RUN ] Expr.BinaryMath01 2022-11-23T02:18:32.3010035Z [ OK ] Expr.BinaryMath01 (0 ms) 2022-11-23T02:18:32.3010488Z [ RUN ] Expr.LogicalOps01 2022-11-23T02:18:32.3011187Z [ OK ] Expr.LogicalOps01 (0 ms) 2022-11-23T02:18:32.3011607Z [ RUN ] Expr.LogicalOps02 2022-11-23T02:18:32.3012058Z [ OK ] Expr.LogicalOps02 (0 ms) 2022-11-23T02:18:32.3012506Z [ RUN ] Expr.LogicalOps03 2022-11-23T02:18:32.3014449Z [ OK ] Expr.LogicalOps03 (0 ms) 2022-11-23T02:18:32.3014729Z [ RUN ] Expr.BitwiseOps 2022-11-23T02:18:32.3015041Z [ OK ] Expr.BitwiseOps (0 ms) 2022-11-23T02:18:32.3015315Z [ RUN ] Expr.DynamicShapeAdd 2022-11-23T02:18:32.3017795Z [ OK ] Expr.DynamicShapeAdd (0 ms) 2022-11-23T02:18:32.3018063Z [ RUN ] Expr.OutOfBounds 2022-11-23T02:18:32.3060083Z [ OK ] Expr.OutOfBounds (4 ms) 2022-11-23T02:18:32.3060388Z [ RUN ] Expr.OutOfBounds2d 2022-11-23T02:18:32.3068367Z [ OK ] Expr.OutOfBounds2d (0 ms) 2022-11-23T02:18:32.3068748Z [ RUN ] Expr.OutOfBounds2dFlattenedIndex 2022-11-23T02:18:32.3073481Z [ OK ] Expr.OutOfBounds2dFlattenedIndex (0 ms) 2022-11-23T02:18:32.3074049Z [----------] 30 tests from Expr (18 ms total) 2022-11-23T02:18:32.3074589Z 2022-11-23T02:18:32.3074750Z [----------] 16 tests from ExternalCall 2022-11-23T02:18:32.3075029Z [ RUN ] ExternalCall.Conv1d_float 2022-11-23T02:18:32.3353581Z [ OK ] ExternalCall.Conv1d_float (27 ms) 2022-11-23T02:18:32.3353885Z [ RUN ] ExternalCall.Conv1d_int 2022-11-23T02:18:32.3746105Z [ OK ] ExternalCall.Conv1d_int (39 ms) 2022-11-23T02:18:32.3746429Z [ RUN ] ExternalCall.Conv1d_nobias_noargs 2022-11-23T02:18:32.3999160Z [ OK ] ExternalCall.Conv1d_nobias_noargs (25 ms) 2022-11-23T02:18:32.3999490Z [ RUN ] ExternalCall.Conv2d_float 2022-11-23T02:18:32.4343547Z [ OK ] ExternalCall.Conv2d_float (34 ms) 2022-11-23T02:18:32.4343833Z [ RUN ] ExternalCall.Conv2d_int 2022-11-23T02:18:32.4757747Z [ OK ] ExternalCall.Conv2d_int (41 ms) 2022-11-23T02:18:32.4758247Z [ RUN ] ExternalCall.Conv2d_nobias_noargs 2022-11-23T02:18:32.5064358Z [ OK ] ExternalCall.Conv2d_nobias_noargs (30 ms) 2022-11-23T02:18:32.5064722Z [ RUN ] ExternalCall.Addmm_float 2022-11-23T02:18:32.5341383Z [ OK ] ExternalCall.Addmm_float (27 ms) 2022-11-23T02:18:32.5341692Z [ RUN ] ExternalCall.Embedding 2022-11-23T02:18:32.5597587Z [ OK ] ExternalCall.Embedding (25 ms) 2022-11-23T02:18:32.5598016Z [ RUN ] ExternalCall.MaxReduction 2022-11-23T02:18:32.5830526Z [ OK ] ExternalCall.MaxReduction (23 ms) 2022-11-23T02:18:32.5830869Z [ RUN ] ExternalCall.Prepacked_Linear_float 2022-11-23T02:18:32.6103432Z [ OK ] ExternalCall.Prepacked_Linear_float (27 ms) 2022-11-23T02:18:32.6104049Z [ RUN ] ExternalCall.Prepacked_Conv2d_float 2022-11-23T02:18:32.6430676Z [ OK ] ExternalCall.Prepacked_Conv2d_float (32 ms) 2022-11-23T02:18:32.6431090Z [ RUN ] ExternalCall.BinaryFloat 2022-11-23T02:18:32.7197100Z [ OK ] ExternalCall.BinaryFloat (76 ms) 2022-11-23T02:18:32.7197449Z [ RUN ] ExternalCall.UnaryFloat 2022-11-23T02:18:32.7661791Z [ OK ] ExternalCall.UnaryFloat (46 ms) 2022-11-23T02:18:32.7662117Z [ RUN ] ExternalCall.ComputeInterop 2022-11-23T02:18:33.8929406Z [ OK ] ExternalCall.ComputeInterop (1126 ms) 2022-11-23T02:18:33.8929972Z [ RUN ] ExternalCall.Inlining 2022-11-23T02:18:33.9683287Z [ OK ] ExternalCall.Inlining (75 ms) 2022-11-23T02:18:33.9683908Z [ RUN ] ExternalCall.JitCustomFusionOp 2022-11-23T02:18:34.1006498Z [ OK ] ExternalCall.JitCustomFusionOp (132 ms) 2022-11-23T02:18:34.1007147Z [----------] 16 tests from ExternalCall (1793 ms total) 2022-11-23T02:18:34.1007411Z 2022-11-23T02:18:34.1007659Z [----------] 8 tests from GraphOpt 2022-11-23T02:18:34.1008139Z [ RUN ] GraphOpt.OptimizeCat 2022-11-23T02:18:34.1350961Z [ OK ] GraphOpt.OptimizeCat (34 ms) 2022-11-23T02:18:34.1351508Z [ RUN ] GraphOpt.OptimizeCat2 2022-11-23T02:18:34.1725627Z [ OK ] GraphOpt.OptimizeCat2 (37 ms) 2022-11-23T02:18:34.1726334Z [ RUN ] GraphOpt.OptimizeCat3 2022-11-23T02:18:34.2161255Z [ OK ] GraphOpt.OptimizeCat3 (43 ms) 2022-11-23T02:18:34.2161928Z [ RUN ] GraphOpt.OptimizeCatWithTypePromotionInUser 2022-11-23T02:18:34.2504337Z [ OK ] GraphOpt.OptimizeCatWithTypePromotionInUser (34 ms) 2022-11-23T02:18:34.2505116Z [ RUN ] GraphOpt.OptimizeCatWithTypePromotionInCat 2022-11-23T02:18:34.3147399Z [ OK ] GraphOpt.OptimizeCatWithTypePromotionInCat (64 ms) 2022-11-23T02:18:34.3148226Z [ RUN ] GraphOpt.OptimizeCatNoSingleTensorElementwiseOp 2022-11-23T02:18:34.3547616Z [ OK ] GraphOpt.OptimizeCatNoSingleTensorElementwiseOp (39 ms) 2022-11-23T02:18:34.3548858Z [ RUN ] GraphOpt.OptimizeCatNoSingleTensorElementwiseOp2 2022-11-23T02:18:34.3974339Z [ OK ] GraphOpt.OptimizeCatNoSingleTensorElementwiseOp2 (42 ms) 2022-11-23T02:18:34.3975050Z [ RUN ] GraphOpt.AOTGraphPrepPasses 2022-11-23T02:18:34.3975640Z [ OK ] GraphOpt.AOTGraphPrepPasses (0 ms) 2022-11-23T02:18:34.3976223Z [----------] 8 tests from GraphOpt (296 ms total) 2022-11-23T02:18:34.3976495Z 2022-11-23T02:18:34.3976758Z [----------] 4 tests from IRPrinter 2022-11-23T02:18:34.3977160Z [ RUN ] IRPrinter.BasicValueTest 2022-11-23T02:18:34.3977561Z [ OK ] IRPrinter.BasicValueTest (0 ms) 2022-11-23T02:18:34.3978003Z [ RUN ] IRPrinter.BasicValueTest02 2022-11-23T02:18:34.3978434Z [ OK ] IRPrinter.BasicValueTest02 (0 ms) 2022-11-23T02:18:34.3979038Z [ RUN ] IRPrinter.CastTest 2022-11-23T02:18:34.3979508Z [ OK ] IRPrinter.CastTest (0 ms) 2022-11-23T02:18:34.3980029Z [ RUN ] IRPrinter.FunctionName 2022-11-23T02:18:34.3980546Z [ OK ] IRPrinter.FunctionName (0 ms) 2022-11-23T02:18:34.3981098Z [----------] 4 tests from IRPrinter (0 ms total) 2022-11-23T02:18:34.3981342Z 2022-11-23T02:18:34.3981576Z [----------] 8 tests from IRVerifier 2022-11-23T02:18:34.3982057Z [ RUN ] IRVerifier.BitwiseOps 2022-11-23T02:18:34.3982428Z [ OK ] IRVerifier.BitwiseOps (0 ms) 2022-11-23T02:18:34.3982704Z [ RUN ] IRVerifier.CompareSelect 2022-11-23T02:18:34.3983116Z [ OK ] IRVerifier.CompareSelect (0 ms) 2022-11-23T02:18:34.3983618Z [ RUN ] IRVerifier.Ramp 2022-11-23T02:18:34.3983950Z [ OK ] IRVerifier.Ramp (0 ms) 2022-11-23T02:18:34.3984201Z [ RUN ] IRVerifier.Load 2022-11-23T02:18:34.3984465Z [ OK ] IRVerifier.Load (0 ms) 2022-11-23T02:18:34.3984730Z [ RUN ] IRVerifier.IfThenElse 2022-11-23T02:18:34.3985007Z [ OK ] IRVerifier.IfThenElse (0 ms) 2022-11-23T02:18:34.3985268Z [ RUN ] IRVerifier.For 2022-11-23T02:18:34.3985521Z [ OK ] IRVerifier.For (0 ms) 2022-11-23T02:18:34.3985757Z [ RUN ] IRVerifier.Block 2022-11-23T02:18:34.3986019Z [ OK ] IRVerifier.Block (0 ms) 2022-11-23T02:18:34.3986270Z [ RUN ] IRVerifier.Store 2022-11-23T02:18:34.3986518Z [ OK ] IRVerifier.Store (0 ms) 2022-11-23T02:18:34.3986814Z [----------] 8 tests from IRVerifier (0 ms total) 2022-11-23T02:18:34.3986960Z 2022-11-23T02:18:34.3987096Z [----------] 37 tests from Kernel 2022-11-23T02:18:34.3987375Z [ RUN ] Kernel.ParallelExternalCallBuf 2022-11-23T02:18:34.4592772Z [ OK ] Kernel.ParallelExternalCallBuf (60 ms) 2022-11-23T02:18:34.4593116Z [ RUN ] Kernel.InliningIntermediates 2022-11-23T02:18:34.5293572Z [ OK ] Kernel.InliningIntermediates (69 ms) 2022-11-23T02:18:34.5294067Z [ RUN ] Kernel.PreAllocIntermediateBufs 2022-11-23T02:18:34.6437196Z [ OK ] Kernel.PreAllocIntermediateBufs (114 ms) 2022-11-23T02:18:34.6437618Z [ RUN ] Kernel._1 2022-11-23T02:18:34.6737808Z [ OK ] Kernel._1 (30 ms) 2022-11-23T02:18:34.6738071Z [ RUN ] Kernel._2 2022-11-23T02:18:34.7059458Z [ OK ] Kernel._2 (32 ms) 2022-11-23T02:18:34.7059716Z [ RUN ] Kernel._3 2022-11-23T02:18:34.7384903Z [ OK ] Kernel._3 (32 ms) 2022-11-23T02:18:34.7385150Z [ RUN ] Kernel.Huge 2022-11-23T02:18:34.7638201Z [ OK ] Kernel.Huge (25 ms) 2022-11-23T02:18:34.7638480Z [ RUN ] Kernel.ParallelStrided 2022-11-23T02:18:34.8879280Z [ OK ] Kernel.ParallelStrided (123 ms) 2022-11-23T02:18:34.8879644Z [ RUN ] Kernel.CatInputTypesPromotion 2022-11-23T02:18:34.9867188Z [ OK ] Kernel.CatInputTypesPromotion (98 ms) 2022-11-23T02:18:34.9867546Z [ RUN ] Kernel.ToDType 2022-11-23T02:18:35.0156222Z [ OK ] Kernel.ToDType (28 ms) 2022-11-23T02:18:35.0156594Z [ RUN ] Kernel.CatAndInlineWithAConstantDim 2022-11-23T02:18:35.0447261Z [ OK ] Kernel.CatAndInlineWithAConstantDim (29 ms) 2022-11-23T02:18:35.0447651Z [ RUN ] Kernel.CatWithEmptyInputs 2022-11-23T02:18:35.1175559Z [ OK ] Kernel.CatWithEmptyInputs (72 ms) 2022-11-23T02:18:35.1175886Z [ RUN ] Kernel.CatWoConditionals 2022-11-23T02:18:35.1951092Z [ OK ] Kernel.CatWoConditionals (77 ms) 2022-11-23T02:18:35.1951640Z [ RUN ] Kernel.OptimizeConditionals 2022-11-23T02:18:35.2985008Z [ OK ] Kernel.OptimizeConditionals (103 ms) 2022-11-23T02:18:35.2985567Z [ RUN ] Kernel.SumAllAxes 2022-11-23T02:18:35.3488019Z [ OK ] Kernel.SumAllAxes (50 ms) 2022-11-23T02:18:35.3488550Z [ RUN ] Kernel.SumOneAxis 2022-11-23T02:18:35.7612848Z [ OK ] Kernel.SumOneAxis (412 ms) 2022-11-23T02:18:35.7613307Z [ RUN ] Kernel.SumMultipleAxes 2022-11-23T02:18:36.2024908Z [ OK ] Kernel.SumMultipleAxes (441 ms) 2022-11-23T02:18:36.2025242Z [ RUN ] Kernel.Softmax2D 2022-11-23T02:18:36.6569278Z [ OK ] Kernel.Softmax2D (454 ms) 2022-11-23T02:18:36.6569585Z [ RUN ] Kernel.Softmax3D 2022-11-23T02:18:37.5540078Z [ OK ] Kernel.Softmax3D (897 ms) 2022-11-23T02:18:37.5540385Z [ RUN ] Kernel.Softmax4D 2022-11-23T02:18:38.7241605Z [ OK ] Kernel.Softmax4D (1170 ms) 2022-11-23T02:18:38.7241914Z [ RUN ] Kernel.SignTest 2022-11-23T02:18:38.7960079Z [ OK ] Kernel.SignTest (71 ms) 2022-11-23T02:18:38.7960413Z [ RUN ] Kernel.InlineProducerIntoReduction 2022-11-23T02:18:38.8243615Z [ OK ] Kernel.InlineProducerIntoReduction (28 ms) 2022-11-23T02:18:38.8243993Z [ RUN ] Kernel.InlineReductionIntoConsumer 2022-11-23T02:18:38.8596969Z [ OK ] Kernel.InlineReductionIntoConsumer (35 ms) 2022-11-23T02:18:38.8597348Z [ RUN ] Kernel.ConstantTensors 2022-11-23T02:18:38.9000008Z [ OK ] Kernel.ConstantTensors (40 ms) 2022-11-23T02:18:38.9000354Z [ RUN ] Kernel.ConstantTensorsNonContiguous 2022-11-23T02:18:38.9407332Z [ OK ] Kernel.ConstantTensorsNonContiguous (40 ms) 2022-11-23T02:18:38.9407644Z [ RUN ] Kernel.RunFast 2022-11-23T02:18:38.9731666Z [ OK ] Kernel.RunFast (32 ms) 2022-11-23T02:18:38.9731986Z [ RUN ] Kernel.RunWithAllocatedOutputs 2022-11-23T02:18:39.0053406Z [ OK ] Kernel.RunWithAllocatedOutputs (32 ms) 2022-11-23T02:18:39.0053750Z [ RUN ] Kernel.CodegenInspection 2022-11-23T02:18:39.0455909Z [ OK ] Kernel.CodegenInspection (40 ms) 2022-11-23T02:18:39.0456228Z [ RUN ] Kernel.CustomLowering 2022-11-23T02:18:39.0705622Z [ OK ] Kernel.CustomLowering (24 ms) 2022-11-23T02:18:39.0705922Z [ RUN ] Kernel.Vectorize 2022-11-23T02:18:39.1022027Z [ OK ] Kernel.Vectorize (31 ms) 2022-11-23T02:18:39.1022573Z [ RUN ] Kernel.Strided1dWithinBounds 2022-11-23T02:18:39.1254808Z [ OK ] Kernel.Strided1dWithinBounds (23 ms) 2022-11-23T02:18:39.1255358Z [ RUN ] Kernel.InputAsOutput 2022-11-23T02:18:39.1613513Z [ OK ] Kernel.InputAsOutput (35 ms) 2022-11-23T02:18:39.1614003Z [ RUN ] Kernel.ScalarOut 2022-11-23T02:18:39.1819392Z [ OK ] Kernel.ScalarOut (20 ms) 2022-11-23T02:18:39.1819754Z [ RUN ] Kernel.ScalarTensorOut 2022-11-23T02:18:39.2085649Z [ OK ] Kernel.ScalarTensorOut (26 ms) 2022-11-23T02:18:39.2086182Z [ RUN ] Kernel.FuseLoopsWithVariableBounds 2022-11-23T02:18:39.6630097Z [ OK ] Kernel.FuseLoopsWithVariableBounds (454 ms) 2022-11-23T02:18:39.6630524Z [ RUN ] Kernel.FuseLoopsWithVariableConcatDim 2022-11-23T02:18:40.1783266Z [ OK ] Kernel.FuseLoopsWithVariableConcatDim (515 ms) 2022-11-23T02:18:40.1784101Z [ RUN ] Kernel.DoNotFuseLoopsWithMismatchingVariableDims 2022-11-23T02:18:40.5133818Z [ OK ] Kernel.DoNotFuseLoopsWithMismatchingVariableDims (335 ms) 2022-11-23T02:18:40.5134453Z [----------] 37 tests from Kernel (6114 ms total) 2022-11-23T02:18:40.5134644Z 2022-11-23T02:18:40.5134908Z [----------] 174 tests from LoopNest 2022-11-23T02:18:40.5135424Z [ RUN ] LoopNest.ExprSimple01 2022-11-23T02:18:40.5135845Z [ OK ] LoopNest.ExprSimple01 (0 ms) 2022-11-23T02:18:40.5136362Z [ RUN ] LoopNest.ExprLower01 2022-11-23T02:18:40.5136762Z [ OK ] LoopNest.ExprLower01 (0 ms) 2022-11-23T02:18:40.5137066Z [ RUN ] LoopNest.ExprSimple02 2022-11-23T02:18:40.5158684Z [ OK ] LoopNest.ExprSimple02 (2 ms) 2022-11-23T02:18:40.5159346Z [ RUN ] LoopNest.ExprSliceHeadWithLoopOptions 2022-11-23T02:18:40.5161849Z [ OK ] LoopNest.ExprSliceHeadWithLoopOptions (0 ms) 2022-11-23T02:18:40.5162269Z [ RUN ] LoopNest.ExprSliceTailWithLoopOptions 2022-11-23T02:18:40.5165080Z [ OK ] LoopNest.ExprSliceTailWithLoopOptions (0 ms) 2022-11-23T02:18:40.5165662Z [ RUN ] LoopNest.ExprSliceHeadWhenFactorEqualsSize 2022-11-23T02:18:40.5166275Z [ OK ] LoopNest.ExprSliceHeadWhenFactorEqualsSize (0 ms) 2022-11-23T02:18:40.5166734Z [ RUN ] LoopNest.ExprSliceHeadWhenFactorLargerThanSize 2022-11-23T02:18:40.5167164Z [ OK ] LoopNest.ExprSliceHeadWhenFactorLargerThanSize (0 ms) 2022-11-23T02:18:40.5167532Z [ RUN ] LoopNest.ExprSliceHead 2022-11-23T02:18:40.5168778Z [ OK ] LoopNest.ExprSliceHead (0 ms) 2022-11-23T02:18:40.5169116Z [ RUN ] LoopNest.ExprSliceHeadWithNonZeroStart 2022-11-23T02:18:40.5171782Z [ OK ] LoopNest.ExprSliceHeadWithNonZeroStart (0 ms) 2022-11-23T02:18:40.5172421Z [ RUN ] LoopNest.ExprSliceTailWhenFactorEqualsSize 2022-11-23T02:18:40.5172933Z [ OK ] LoopNest.ExprSliceTailWhenFactorEqualsSize (0 ms) 2022-11-23T02:18:40.5173476Z [ RUN ] LoopNest.ExprSliceTailWhenFactorLargerThanSize 2022-11-23T02:18:40.5174053Z [ OK ] LoopNest.ExprSliceTailWhenFactorLargerThanSize (0 ms) 2022-11-23T02:18:40.5174444Z [ RUN ] LoopNest.ExprSliceTail 2022-11-23T02:18:40.5174816Z [ OK ] LoopNest.ExprSliceTail (0 ms) 2022-11-23T02:18:40.5175176Z [ RUN ] LoopNest.ExprSplitAndSlice 2022-11-23T02:18:40.5182575Z [ OK ] LoopNest.ExprSplitAndSlice (0 ms) 2022-11-23T02:18:40.5182957Z [ RUN ] LoopNest.ExprSliceAndNormalize 2022-11-23T02:18:40.5185012Z [ OK ] LoopNest.ExprSliceAndNormalize (0 ms) 2022-11-23T02:18:40.5185432Z [ RUN ] LoopNest.ExprSliceWithVariableDimension 2022-11-23T02:18:40.5203885Z [ OK ] LoopNest.ExprSliceWithVariableDimension (1 ms) 2022-11-23T02:18:40.5204298Z [ RUN ] LoopNest.ExprSplitWithTail 2022-11-23T02:18:40.5212169Z [ OK ] LoopNest.ExprSplitWithTail (0 ms) 2022-11-23T02:18:40.5212553Z [ RUN ] LoopNest.ExprSplitWithTailNone 2022-11-23T02:18:40.5225784Z [ OK ] LoopNest.ExprSplitWithTailNone (1 ms) 2022-11-23T02:18:40.5226173Z [ RUN ] LoopNest.ExprSplitWithMask01 2022-11-23T02:18:40.5268314Z [ OK ] LoopNest.ExprSplitWithMask01 (4 ms) 2022-11-23T02:18:40.5268751Z [ RUN ] LoopNest.ExprSplitWithMaskRepeatedNoMask 2022-11-23T02:18:40.5286891Z [ OK ] LoopNest.ExprSplitWithMaskRepeatedNoMask (1 ms) 2022-11-23T02:18:40.5287544Z [ RUN ] LoopNest.getLoopAt 2022-11-23T02:18:40.5303286Z [ OK ] LoopNest.getLoopAt (1 ms) 2022-11-23T02:18:40.5303614Z [ RUN ] LoopNest.TileSimple 2022-11-23T02:18:40.6204079Z [ OK ] LoopNest.TileSimple (89 ms) 2022-11-23T02:18:40.6204506Z [ RUN ] LoopNest.TileWithTails 2022-11-23T02:18:40.7109936Z [ OK ] LoopNest.TileWithTails (90 ms) 2022-11-23T02:18:40.7110419Z [ RUN ] LoopNest.TileInMiddle 2022-11-23T02:18:40.8563129Z [ OK ] LoopNest.TileInMiddle (145 ms) 2022-11-23T02:18:40.8563751Z [ RUN ] LoopNest.SplitWithTailWithLoopOptions 2022-11-23T02:18:40.8564437Z [ OK ] LoopNest.SplitWithTailWithLoopOptions (0 ms) 2022-11-23T02:18:40.8564856Z [ RUN ] LoopNest.SplitWithMaskWithLoopOptions 2022-11-23T02:18:40.8565227Z [ OK ] LoopNest.SplitWithMaskWithLoopOptions (0 ms) 2022-11-23T02:18:40.8565596Z [ RUN ] LoopNest.ScheduleBroadcastAddBuffer 2022-11-23T02:18:40.8585701Z [ OK ] LoopNest.ScheduleBroadcastAddBuffer (2 ms) 2022-11-23T02:18:40.8586238Z [ RUN ] LoopNest.ScheduleFunctionCall01 2022-11-23T02:18:40.8664517Z [ OK ] LoopNest.ScheduleFunctionCall01 (7 ms) 2022-11-23T02:18:40.8665099Z [ RUN ] LoopNest.ScheduleInlineSimple 2022-11-23T02:18:40.8789217Z [ OK ] LoopNest.ScheduleInlineSimple (12 ms) 2022-11-23T02:18:40.8789819Z [ RUN ] LoopNest.ScheduleInlineFunc01 2022-11-23T02:18:40.9365897Z [ OK ] LoopNest.ScheduleInlineFunc01 (57 ms) 2022-11-23T02:18:40.9366211Z [ RUN ] LoopNest.ScheduleInlineRandom 2022-11-23T02:18:40.9370120Z [ OK ] LoopNest.ScheduleInlineRandom (0 ms) 2022-11-23T02:18:40.9370472Z [ RUN ] LoopNest.ScheduleInlineRandomUnrelated 2022-11-23T02:18:40.9374291Z [ OK ] LoopNest.ScheduleInlineRandomUnrelated (0 ms) 2022-11-23T02:18:40.9374772Z [ RUN ] LoopNest.ScheduleInlineRandomLowerDimensions 2022-11-23T02:18:40.9378086Z [ OK ] LoopNest.ScheduleInlineRandomLowerDimensions (0 ms) 2022-11-23T02:18:40.9378502Z [ RUN ] LoopNest.ScheduleInlineIntrinsics 2022-11-23T02:18:40.9470266Z [ OK ] LoopNest.ScheduleInlineIntrinsics (9 ms) 2022-11-23T02:18:40.9470857Z [ RUN ] LoopNest.ScheduleInlineRandWithIntrinsics 2022-11-23T02:18:40.9473682Z [ OK ] LoopNest.ScheduleInlineRandWithIntrinsics (0 ms) 2022-11-23T02:18:40.9474368Z [ RUN ] LoopNest.ScheduleSplitAThenInline 2022-11-23T02:18:40.9475633Z [ OK ] LoopNest.ScheduleSplitAThenInline (0 ms) 2022-11-23T02:18:40.9476228Z [ RUN ] LoopNest.ScheduleSplitBThenInline 2022-11-23T02:18:40.9480058Z [ OK ] LoopNest.ScheduleSplitBThenInline (0 ms) 2022-11-23T02:18:40.9480515Z [ RUN ] LoopNest.ScheduleSplitTwiceThenInline 2022-11-23T02:18:40.9481568Z [ OK ] LoopNest.ScheduleSplitTwiceThenInline (0 ms) 2022-11-23T02:18:40.9482020Z [ RUN ] LoopNest.ScheduleInlineThenSplit 2022-11-23T02:18:40.9485686Z [ OK ] LoopNest.ScheduleInlineThenSplit (0 ms) 2022-11-23T02:18:40.9486092Z [ RUN ] LoopNest.ScheduleSplitInlineThenSplit 2022-11-23T02:18:40.9493850Z [ OK ] LoopNest.ScheduleSplitInlineThenSplit (0 ms) 2022-11-23T02:18:40.9494286Z [ RUN ] LoopNest.ScheduleSplitInlineSimplify 2022-11-23T02:18:40.9495348Z [ OK ] LoopNest.ScheduleSplitInlineSimplify (0 ms) 2022-11-23T02:18:40.9495754Z [ RUN ] LoopNest.ScheduleInlineThreeMixedOnce 2022-11-23T02:18:40.9500619Z [ OK ] LoopNest.ScheduleInlineThreeMixedOnce (0 ms) 2022-11-23T02:18:40.9501057Z [ RUN ] LoopNest.ScheduleInlineThreeMixedTwice 2022-11-23T02:18:40.9505618Z [ OK ] LoopNest.ScheduleInlineThreeMixedTwice (0 ms) 2022-11-23T02:18:40.9506344Z [ RUN ] LoopNest.ScheduleInlineThreeMixedInner 2022-11-23T02:18:40.9511091Z [ OK ] LoopNest.ScheduleInlineThreeMixedInner (0 ms) 2022-11-23T02:18:40.9511490Z [ RUN ] LoopNest.ScheduleInlineThreeMixedSplit 2022-11-23T02:18:40.9513619Z [ OK ] LoopNest.ScheduleInlineThreeMixedSplit (0 ms) 2022-11-23T02:18:40.9513995Z [ RUN ] LoopNest.ScheduleInlineOutputTensors 2022-11-23T02:18:40.9518547Z [ OK ] LoopNest.ScheduleInlineOutputTensors (0 ms) 2022-11-23T02:18:40.9519044Z [ RUN ] LoopNest.ScheduleInlineWithCompoundIndices 2022-11-23T02:18:40.9519859Z [ OK ] LoopNest.ScheduleInlineWithCompoundIndices (0 ms) 2022-11-23T02:18:40.9520404Z [ RUN ] LoopNest.ScheduleInlineConsumerIndicesWithCast 2022-11-23T02:18:40.9521041Z [ OK ] LoopNest.ScheduleInlineConsumerIndicesWithCast (0 ms) 2022-11-23T02:18:40.9521540Z [ RUN ] LoopNest.ScheduleInlineProducerIndicesWithCast 2022-11-23T02:18:40.9522479Z [ OK ] LoopNest.ScheduleInlineProducerIndicesWithCast (0 ms) 2022-11-23T02:18:40.9523139Z [ RUN ] LoopNest.ScheduleFuserStyle 2022-11-23T02:18:40.9571402Z [ OK ] LoopNest.ScheduleFuserStyle (4 ms) 2022-11-23T02:18:40.9571987Z [ RUN ] LoopNest.ScheduleFuserThreeArg 2022-11-23T02:18:40.9629507Z [ OK ] LoopNest.ScheduleFuserThreeArg (5 ms) 2022-11-23T02:18:40.9629849Z [ RUN ] LoopNest.ScheduleDynamicShape2D 2022-11-23T02:18:40.9750476Z [ OK ] LoopNest.ScheduleDynamicShape2D (12 ms) 2022-11-23T02:18:40.9751081Z [ RUN ] LoopNest.LoopNestComputeAt_1 2022-11-23T02:18:40.9760096Z [ OK ] LoopNest.LoopNestComputeAt_1 (0 ms) 2022-11-23T02:18:40.9760633Z [ RUN ] LoopNest.LoopNestComputeAt_2 2022-11-23T02:18:41.0266929Z [ OK ] LoopNest.LoopNestComputeAt_2 (50 ms) 2022-11-23T02:18:41.0267505Z [ RUN ] LoopNest.LoopNestComputeAt_3 2022-11-23T02:18:41.0769304Z [ OK ] LoopNest.LoopNestComputeAt_3 (50 ms) 2022-11-23T02:18:41.0769866Z [ RUN ] LoopNest.Reduce2dComputeAt 2022-11-23T02:18:41.1615440Z [ OK ] LoopNest.Reduce2dComputeAt (84 ms) 2022-11-23T02:18:41.1616072Z [ RUN ] LoopNest.LoopNestReorderAxis1 2022-11-23T02:18:41.1618562Z [ OK ] LoopNest.LoopNestReorderAxis1 (0 ms) 2022-11-23T02:18:41.1619396Z [ RUN ] LoopNest.LoopNestReorderPartialAxes 2022-11-23T02:18:41.1630122Z [ OK ] LoopNest.LoopNestReorderPartialAxes (1 ms) 2022-11-23T02:18:41.1630749Z [ RUN ] LoopNest.LoopNestReorderInternalAxis 2022-11-23T02:18:41.1640837Z [ OK ] LoopNest.LoopNestReorderInternalAxis (1 ms) 2022-11-23T02:18:41.1641468Z [ RUN ] LoopNest.LoopNestReorderEnclosingAxis 2022-11-23T02:18:41.1651433Z [ OK ] LoopNest.LoopNestReorderEnclosingAxis (1 ms) 2022-11-23T02:18:41.1652083Z [ RUN ] LoopNest.LoopNestReorderSameAxis 2022-11-23T02:18:41.1652647Z [ OK ] LoopNest.LoopNestReorderSameAxis (0 ms) 2022-11-23T02:18:41.1653264Z [ RUN ] LoopNest.LoopNestReorderExtraStatements 2022-11-23T02:18:41.1668843Z [ OK ] LoopNest.LoopNestReorderExtraStatements (1 ms) 2022-11-23T02:18:41.1669607Z [ RUN ] LoopNest.LoopNestReorderLongStringOfPreOrphans 2022-11-23T02:18:41.2241083Z [ OK ] LoopNest.LoopNestReorderLongStringOfPreOrphans (57 ms) 2022-11-23T02:18:41.2241835Z [ RUN ] LoopNest.LoopNestReorderLongStringOfPostOrphans 2022-11-23T02:18:41.2810423Z [ OK ] LoopNest.LoopNestReorderLongStringOfPostOrphans (56 ms) 2022-11-23T02:18:41.2811117Z [ RUN ] LoopNest.LoopNestReorderLongStringFull 2022-11-23T02:18:41.3526197Z [ OK ] LoopNest.LoopNestReorderLongStringFull (71 ms) 2022-11-23T02:18:41.3527138Z [ RUN ] LoopNest.LoopNestReorderInternalLoopNest 2022-11-23T02:18:41.3646693Z [ OK ] LoopNest.LoopNestReorderInternalLoopNest (12 ms) 2022-11-23T02:18:41.3647313Z [ RUN ] LoopNest.OuterLoopVectorization 2022-11-23T02:18:41.3648374Z [ OK ] LoopNest.OuterLoopVectorization (0 ms) 2022-11-23T02:18:41.3648963Z [ RUN ] LoopNest.VectorizeLoopNotNormalized 2022-11-23T02:18:41.3651956Z [ OK ] LoopNest.VectorizeLoopNotNormalized (0 ms) 2022-11-23T02:18:41.3652461Z [ RUN ] LoopNest.Unroll 2022-11-23T02:18:41.3652912Z [ OK ] LoopNest.Unroll (0 ms) 2022-11-23T02:18:41.3653357Z [ RUN ] LoopNest.UnrollOuter 2022-11-23T02:18:41.3655924Z [ OK ] LoopNest.UnrollOuter (0 ms) 2022-11-23T02:18:41.3656431Z [ RUN ] LoopNest.UnrollInner 2022-11-23T02:18:41.3657565Z [ OK ] LoopNest.UnrollInner (0 ms) 2022-11-23T02:18:41.3658108Z [ RUN ] LoopNest.UnrollMultipleStatements 2022-11-23T02:18:41.3659459Z [ OK ] LoopNest.UnrollMultipleStatements (0 ms) 2022-11-23T02:18:41.3660078Z [ RUN ] LoopNest.UnrollNonLiteralConstantBounds 2022-11-23T02:18:41.3661958Z [ OK ] LoopNest.UnrollNonLiteralConstantBounds (0 ms) 2022-11-23T02:18:41.3662554Z [ RUN ] LoopNest.UnrollNonConstantBounds 2022-11-23T02:18:41.3680110Z [ OK ] LoopNest.UnrollNonConstantBounds (1 ms) 2022-11-23T02:18:41.3680703Z [ RUN ] LoopNest.UnrollByFactorsLessThan2 2022-11-23T02:18:41.3681306Z [ OK ] LoopNest.UnrollByFactorsLessThan2 (0 ms) 2022-11-23T02:18:41.3681866Z [ RUN ] LoopNest.UnrollByFactorEqualToIters 2022-11-23T02:18:41.3685257Z [ OK ] LoopNest.UnrollByFactorEqualToIters (0 ms) 2022-11-23T02:18:41.3685669Z [ RUN ] LoopNest.UnrollEmpty 2022-11-23T02:18:41.3685968Z [ OK ] LoopNest.UnrollEmpty (0 ms) 2022-11-23T02:18:41.3686234Z [ RUN ] LoopNest.NoUnroll 2022-11-23T02:18:41.3701891Z [ OK ] LoopNest.NoUnroll (1 ms) 2022-11-23T02:18:41.3702302Z [ RUN ] LoopNest.UnrollWithLet 2022-11-23T02:18:41.3703677Z [ OK ] LoopNest.UnrollWithLet (0 ms) 2022-11-23T02:18:41.3704110Z [ RUN ] LoopNest.IsNormalized 2022-11-23T02:18:41.3704404Z [ OK ] LoopNest.IsNormalized (0 ms) 2022-11-23T02:18:41.3704713Z [ RUN ] LoopNest.NormalizeStartPositive 2022-11-23T02:18:41.3707014Z [ OK ] LoopNest.NormalizeStartPositive (0 ms) 2022-11-23T02:18:41.3707349Z [ RUN ] LoopNest.NormalizeStartNegative 2022-11-23T02:18:41.3710208Z [ OK ] LoopNest.NormalizeStartNegative (0 ms) 2022-11-23T02:18:41.3710544Z [ RUN ] LoopNest.NormalizeStartZero 2022-11-23T02:18:41.3710863Z [ OK ] LoopNest.NormalizeStartZero (0 ms) 2022-11-23T02:18:41.3711180Z [ RUN ] LoopNest.NormalizeStartVariable 2022-11-23T02:18:41.3714049Z [ OK ] LoopNest.NormalizeStartVariable (0 ms) 2022-11-23T02:18:41.3714385Z [ RUN ] LoopNest.NormalizeOnNestedOuterLoop 2022-11-23T02:18:41.3716562Z [ OK ] LoopNest.NormalizeOnNestedOuterLoop (0 ms) 2022-11-23T02:18:41.3716933Z [ RUN ] LoopNest.NormalizeOnNestedInnerLoop 2022-11-23T02:18:41.3720720Z [ OK ] LoopNest.NormalizeOnNestedInnerLoop (0 ms) 2022-11-23T02:18:41.3721104Z [ RUN ] LoopNest.NormalizeAndSplitWithTail 2022-11-23T02:18:41.3724280Z [ OK ] LoopNest.NormalizeAndSplitWithTail (0 ms) 2022-11-23T02:18:41.3724648Z [ RUN ] LoopNest.NotNormalizeAndSplitWithTail 2022-11-23T02:18:41.3730039Z [ OK ] LoopNest.NotNormalizeAndSplitWithTail (0 ms) 2022-11-23T02:18:41.3730390Z [ RUN ] LoopNest.FlattenSimpleLoopNest2D 2022-11-23T02:18:41.3740888Z [ OK ] LoopNest.FlattenSimpleLoopNest2D (1 ms) 2022-11-23T02:18:41.3741355Z [ RUN ] LoopNest.FlattenSimpleLoopNest3D 2022-11-23T02:18:41.3824105Z [ OK ] LoopNest.FlattenSimpleLoopNest3D (8 ms) 2022-11-23T02:18:41.3824489Z [ RUN ] LoopNest.FlattenLoopNestAfterNormalize 2022-11-23T02:18:41.3851346Z [ OK ] LoopNest.FlattenLoopNestAfterNormalize (2 ms) 2022-11-23T02:18:41.3851821Z [ RUN ] LoopNest.FlattenLoopNestWithNonLiteralConstantBounds 2022-11-23T02:18:41.3863808Z [ OK ] LoopNest.FlattenLoopNestWithNonLiteralConstantBounds (1 ms) 2022-11-23T02:18:41.3864261Z [ RUN ] LoopNest.FlattenImperfectLoopNest 2022-11-23T02:18:41.3864808Z [ OK ] LoopNest.FlattenImperfectLoopNest (0 ms) 2022-11-23T02:18:41.3865203Z [ RUN ] LoopNest.FlattenReductionLoopNest 2022-11-23T02:18:41.3865655Z [ OK ] LoopNest.FlattenReductionLoopNest (0 ms) 2022-11-23T02:18:41.3866012Z [ RUN ] LoopNest.FlattenReductionLoopNestFromTensor 2022-11-23T02:18:41.3866500Z [ OK ] LoopNest.FlattenReductionLoopNestFromTensor (0 ms) 2022-11-23T02:18:41.3866983Z [ RUN ] LoopNest.FlattenIncorrectLoopsAsInput 2022-11-23T02:18:41.3867353Z [ OK ] LoopNest.FlattenIncorrectLoopsAsInput (0 ms) 2022-11-23T02:18:41.3867691Z [ RUN ] LoopNest.DetectInlineRankMismatch 2022-11-23T02:18:41.3868041Z [ OK ] LoopNest.DetectInlineRankMismatch (0 ms) 2022-11-23T02:18:41.3868359Z [ RUN ] LoopNest.CacheReadsSimple 2022-11-23T02:18:41.4238357Z [ OK ] LoopNest.CacheReadsSimple (37 ms) 2022-11-23T02:18:41.4238744Z [ RUN ] LoopNest.CacheReadsOuter 2022-11-23T02:18:41.4639127Z [ OK ] LoopNest.CacheReadsOuter (40 ms) 2022-11-23T02:18:41.4639517Z [ RUN ] LoopNest.CacheReadsInternal 2022-11-23T02:18:41.5067638Z [ OK ] LoopNest.CacheReadsInternal (42 ms) 2022-11-23T02:18:41.5067965Z [ RUN ] LoopNest.CacheReadsInner 2022-11-23T02:18:41.5734326Z [ OK ] LoopNest.CacheReadsInner (66 ms) 2022-11-23T02:18:41.5734646Z [ RUN ] LoopNest.CacheWritesSimple 2022-11-23T02:18:41.6488930Z [ OK ] LoopNest.CacheWritesSimple (75 ms) 2022-11-23T02:18:41.6489491Z [ RUN ] LoopNest.DeadStoreElimination 2022-11-23T02:18:41.6506150Z [ OK ] LoopNest.DeadStoreElimination (1 ms) 2022-11-23T02:18:41.6506820Z [ RUN ] LoopNest.DeadStoreEliminationWithIntermediates 2022-11-23T02:18:41.6521568Z [ OK ] LoopNest.DeadStoreEliminationWithIntermediates (1 ms) 2022-11-23T02:18:41.6522229Z [ RUN ] LoopNest.CompoundTensorSimple 2022-11-23T02:18:41.6535667Z [ OK ] LoopNest.CompoundTensorSimple (1 ms) 2022-11-23T02:18:41.6536224Z [ RUN ] LoopNest.InlineConstantIndex 2022-11-23T02:18:41.6540476Z [ OK ] LoopNest.InlineConstantIndex (0 ms) 2022-11-23T02:18:41.6541064Z [ RUN ] LoopNest.CompoundTensorUsed 2022-11-23T02:18:41.6564200Z [ OK ] LoopNest.CompoundTensorUsed (2 ms) 2022-11-23T02:18:41.6564731Z [ RUN ] LoopNest.InlineFromLoad 2022-11-23T02:18:41.6565283Z [ OK ] LoopNest.InlineFromLoad (0 ms) 2022-11-23T02:18:41.6565647Z [ RUN ] LoopNest.OptimizeConditionalsSimple 2022-11-23T02:18:41.6567117Z [ OK ] LoopNest.OptimizeConditionalsSimple (0 ms) 2022-11-23T02:18:41.6567615Z [ RUN ] LoopNest.OptimizeConditionalsNestedConditions 2022-11-23T02:18:41.6569424Z [ OK ] LoopNest.OptimizeConditionalsNestedConditions (0 ms) 2022-11-23T02:18:41.6570057Z [ RUN ] LoopNest.OptimizeConditionalsMultipleStores 2022-11-23T02:18:41.6572485Z [ OK ] LoopNest.OptimizeConditionalsMultipleStores (0 ms) 2022-11-23T02:18:41.6573155Z [ RUN ] LoopNest.OptimizeConditionalsMultipleStoresInOneLoop 2022-11-23T02:18:41.6578087Z [ OK ] LoopNest.OptimizeConditionalsMultipleStoresInOneLoop (0 ms) 2022-11-23T02:18:41.6578946Z [ RUN ] LoopNest.OptimizeConditionalsOuterLoopVar 2022-11-23T02:18:41.6582217Z [ OK ] LoopNest.OptimizeConditionalsOuterLoopVar (0 ms) 2022-11-23T02:18:41.6582873Z [ RUN ] LoopNest.OptimizeConditionalsCompValuesNotOrdered 2022-11-23T02:18:41.6586040Z [ OK ] LoopNest.OptimizeConditionalsCompValuesNotOrdered (0 ms) 2022-11-23T02:18:41.6586711Z [ RUN ] LoopNest.OptimizeConditionalsCompValuesNotConstants 2022-11-23T02:18:41.6589919Z [ OK ] LoopNest.OptimizeConditionalsCompValuesNotConstants (0 ms) 2022-11-23T02:18:41.6590554Z [ RUN ] LoopNest.OptimizeConditionalsInvalidCondition 2022-11-23T02:18:41.6593610Z [ OK ] LoopNest.OptimizeConditionalsInvalidCondition (0 ms) 2022-11-23T02:18:41.6594266Z [ RUN ] LoopNest.OptimizeConditionalsInvalidCondition2 2022-11-23T02:18:41.6597674Z [ OK ] LoopNest.OptimizeConditionalsInvalidCondition2 (0 ms) 2022-11-23T02:18:41.6598338Z [ RUN ] LoopNest.OptimizeConditionalsInvalidCondition3 2022-11-23T02:18:41.6601026Z [ OK ] LoopNest.OptimizeConditionalsInvalidCondition3 (0 ms) 2022-11-23T02:18:41.6601664Z [ RUN ] LoopNest.OptimizeConditionalsInvalidCondition4 2022-11-23T02:18:41.6604068Z [ OK ] LoopNest.OptimizeConditionalsInvalidCondition4 (0 ms) 2022-11-23T02:18:41.6604694Z [ RUN ] LoopNest.OptimizeConditionalsNotNormalized 2022-11-23T02:18:41.6606099Z [ OK ] LoopNest.OptimizeConditionalsNotNormalized (0 ms) 2022-11-23T02:18:41.6606720Z [ RUN ] LoopNest.ColReduceSplitTailEvenReorder 2022-11-23T02:18:41.8072033Z [ OK ] LoopNest.ColReduceSplitTailEvenReorder (146 ms) 2022-11-23T02:18:41.8072573Z [ RUN ] LoopNest.ColReduceSplitTailUnevenReorder 2022-11-23T02:18:41.9234229Z [ OK ] LoopNest.ColReduceSplitTailUnevenReorder (116 ms) 2022-11-23T02:18:41.9234876Z [ RUN ] LoopNest.ColReduceSplitMaskEvenReorder 2022-11-23T02:18:42.0712108Z [ OK ] LoopNest.ColReduceSplitMaskEvenReorder (147 ms) 2022-11-23T02:18:42.0712617Z [ RUN ] LoopNest.ColReduceSplitMaskUnevenReorder 2022-11-23T02:18:42.2030426Z [ OK ] LoopNest.ColReduceSplitMaskUnevenReorder (131 ms) 2022-11-23T02:18:42.2030869Z [ RUN ] LoopNest.ReorderAxisWithMultipleConds 2022-11-23T02:18:42.2033086Z [ OK ] LoopNest.ReorderAxisWithMultipleConds (0 ms) 2022-11-23T02:18:42.2033683Z [ RUN ] LoopNest.VectorizeUse 2022-11-23T02:18:42.2034634Z [ OK ] LoopNest.VectorizeUse (0 ms) 2022-11-23T02:18:42.2035035Z [ RUN ] LoopNest.Int64Direct 2022-11-23T02:18:42.2035760Z [ OK ] LoopNest.Int64Direct (0 ms) 2022-11-23T02:18:42.2036163Z [ RUN ] LoopNest.Int64Compute 2022-11-23T02:18:42.2037058Z [ OK ] LoopNest.Int64Compute (0 ms) 2022-11-23T02:18:42.2037571Z [ RUN ] LoopNest.DistributeLoopWithAllStmtsAsPivots 2022-11-23T02:18:42.2038115Z [ OK ] LoopNest.DistributeLoopWithAllStmtsAsPivots (0 ms) 2022-11-23T02:18:42.2038633Z [ RUN ] LoopNest.DistributeLoopWithOneStmtAsPivot 2022-11-23T02:18:42.2039237Z [ OK ] LoopNest.DistributeLoopWithOneStmtAsPivot (0 ms) 2022-11-23T02:18:42.2039977Z [ RUN ] LoopNest.DistributeLoopWithoutAnyPivot 2022-11-23T02:18:42.2040603Z [ OK ] LoopNest.DistributeLoopWithoutAnyPivot (0 ms) 2022-11-23T02:18:42.2041296Z [ RUN ] LoopNest.DistributeLoopOverInnerLoops 2022-11-23T02:18:42.2041709Z [ OK ] LoopNest.DistributeLoopOverInnerLoops (0 ms) 2022-11-23T02:18:42.2042213Z [ RUN ] LoopNest.DistributeLoopAndParentsWithoutAnyPivot 2022-11-23T02:18:42.2043186Z [ OK ] LoopNest.DistributeLoopAndParentsWithoutAnyPivot (0 ms) 2022-11-23T02:18:42.2043896Z [ RUN ] LoopNest.fuseLoopsSimple 2022-11-23T02:18:42.2045656Z [ OK ] LoopNest.fuseLoopsSimple (0 ms) 2022-11-23T02:18:42.2046303Z [ RUN ] LoopNest.fuseLoopsMultiple 2022-11-23T02:18:42.2052100Z [ OK ] LoopNest.fuseLoopsMultiple (0 ms) 2022-11-23T02:18:42.2052656Z [ RUN ] LoopNest.fuseLoopsNested 2022-11-23T02:18:42.2061189Z [ OK ] LoopNest.fuseLoopsNested (0 ms) 2022-11-23T02:18:42.2061506Z [ RUN ] LoopNest.fuseLoopsNested2D 2022-11-23T02:18:42.2065385Z [ OK ] LoopNest.fuseLoopsNested2D (0 ms) 2022-11-23T02:18:42.2065716Z [ RUN ] LoopNest.fuseLoopsNested2DInner 2022-11-23T02:18:42.2068089Z [ OK ] LoopNest.fuseLoopsNested2DInner (0 ms) 2022-11-23T02:18:42.2068915Z [ RUN ] LoopNest.fuseLoopsDifferentStopBounds 2022-11-23T02:18:42.2069480Z [ OK ] LoopNest.fuseLoopsDifferentStopBounds (0 ms) 2022-11-23T02:18:42.2069853Z [ RUN ] LoopNest.fuseLoopsDifferentStartBounds 2022-11-23T02:18:42.2070387Z [ OK ] LoopNest.fuseLoopsDifferentStartBounds (0 ms) 2022-11-23T02:18:42.2070796Z [ RUN ] LoopNest.fuseLoopsNotContiguous 2022-11-23T02:18:42.2071398Z [ OK ] LoopNest.fuseLoopsNotContiguous (0 ms) 2022-11-23T02:18:42.2071916Z [ RUN ] LoopNest.fuseLoopsWithDifferentParents 2022-11-23T02:18:42.2072296Z [ OK ] LoopNest.fuseLoopsWithDifferentParents (0 ms) 2022-11-23T02:18:42.2072660Z [ RUN ] LoopNest.fuseLoopsWithVariableBounds 2022-11-23T02:18:42.2075097Z [ OK ] LoopNest.fuseLoopsWithVariableBounds (0 ms) 2022-11-23T02:18:42.2075668Z [ RUN ] LoopNest.fuseLoopsWithExprBounds 2022-11-23T02:18:42.2080956Z [ OK ] LoopNest.fuseLoopsWithExprBounds (0 ms) 2022-11-23T02:18:42.2081578Z [ RUN ] LoopNest.fuseLoopsWithDifferentExprBounds 2022-11-23T02:18:42.2085923Z [ OK ] LoopNest.fuseLoopsWithDifferentExprBounds (0 ms) 2022-11-23T02:18:42.2086598Z [ RUN ] LoopNest.fuseLoopsWithNonOverlappingBufferAccesses 2022-11-23T02:18:42.2091204Z [ OK ] LoopNest.fuseLoopsWithNonOverlappingBufferAccesses (0 ms) 2022-11-23T02:18:42.2091869Z [ RUN ] LoopNest.fuseLoopsWithNonOverlapping2DBufferAccesses 2022-11-23T02:18:42.2100686Z [ OK ] LoopNest.fuseLoopsWithNonOverlapping2DBufferAccesses (0 ms) 2022-11-23T02:18:42.2101280Z [ RUN ] LoopNest.fuseLoopsWithReductions 2022-11-23T02:18:42.2106918Z [ OK ] LoopNest.fuseLoopsWithReductions (0 ms) 2022-11-23T02:18:42.2107511Z [ RUN ] LoopNest.fuseLoopsWith2DReductions 2022-11-23T02:18:42.2118127Z [ OK ] LoopNest.fuseLoopsWith2DReductions (1 ms) 2022-11-23T02:18:42.2118732Z [ RUN ] LoopNest.fuseLoopsWithComplexIndices 2022-11-23T02:18:42.2127727Z [ OK ] LoopNest.fuseLoopsWithComplexIndices (0 ms) 2022-11-23T02:18:42.2128359Z [ RUN ] LoopNest.fuseLoopsWithMixedLoopVarsAsIndices 2022-11-23T02:18:42.2140669Z [ OK ] LoopNest.fuseLoopsWithMixedLoopVarsAsIndices (1 ms) 2022-11-23T02:18:42.2141331Z [ RUN ] LoopNest.fuseLoopsWithTranspose 2022-11-23T02:18:42.2147588Z [ OK ] LoopNest.fuseLoopsWithTranspose (0 ms) 2022-11-23T02:18:42.2148123Z [ RUN ] LoopNest.fuseLoopsThatViolateDependencies1 2022-11-23T02:18:42.2153088Z [ OK ] LoopNest.fuseLoopsThatViolateDependencies1 (0 ms) 2022-11-23T02:18:42.2153489Z [ RUN ] LoopNest.fuseLoopsThatViolateDependencies2 2022-11-23T02:18:42.2158175Z [ OK ] LoopNest.fuseLoopsThatViolateDependencies2 (0 ms) 2022-11-23T02:18:42.2158582Z [ RUN ] LoopNest.fuseLoopsThatViolateDependencies3 2022-11-23T02:18:42.2167926Z [ OK ] LoopNest.fuseLoopsThatViolateDependencies3 (0 ms) 2022-11-23T02:18:42.2168340Z [ RUN ] LoopNest.fuseLoopsThatViolateDependencies4 2022-11-23T02:18:42.2180013Z [ OK ] LoopNest.fuseLoopsThatViolateDependencies4 (1 ms) 2022-11-23T02:18:42.2180421Z [ RUN ] LoopNest.fuseLoopsThatViolateDependencies5 2022-11-23T02:18:42.2185896Z [ OK ] LoopNest.fuseLoopsThatViolateDependencies5 (0 ms) 2022-11-23T02:18:42.2186291Z [ RUN ] LoopNest.fuseLoopsThatViolateDependencies6 2022-11-23T02:18:42.2192003Z [ OK ] LoopNest.fuseLoopsThatViolateDependencies6 (0 ms) 2022-11-23T02:18:42.2192403Z [ RUN ] LoopNest.fuseLoopsThatViolateDependencies7 2022-11-23T02:18:42.2198382Z [ OK ] LoopNest.fuseLoopsThatViolateDependencies7 (0 ms) 2022-11-23T02:18:42.2199075Z [ RUN ] LoopNest.areLoopsPerfectlyNested 2022-11-23T02:18:42.2199848Z [ OK ] LoopNest.areLoopsPerfectlyNested (0 ms) 2022-11-23T02:18:42.2200253Z [ RUN ] LoopNest.reorderNestedLoops2D 2022-11-23T02:18:42.2200724Z [ OK ] LoopNest.reorderNestedLoops2D (0 ms) 2022-11-23T02:18:42.2201051Z [ RUN ] LoopNest.reorderNestedLoops3D 2022-11-23T02:18:42.2201436Z [ OK ] LoopNest.reorderNestedLoops3D (0 ms) 2022-11-23T02:18:42.2201795Z [ RUN ] LoopNest.reorderNestedLoops4D 2022-11-23T02:18:42.2202194Z [ OK ] LoopNest.reorderNestedLoops4D (0 ms) 2022-11-23T02:18:42.2202635Z [ RUN ] LoopNest.reorderTrivialPermutation 2022-11-23T02:18:42.2203127Z [ OK ] LoopNest.reorderTrivialPermutation (0 ms) 2022-11-23T02:18:42.2203639Z [ RUN ] LoopNest.reorderInvalidPermutations 2022-11-23T02:18:42.2204210Z [ OK ] LoopNest.reorderInvalidPermutations (0 ms) 2022-11-23T02:18:42.2204748Z [ RUN ] LoopNest.reorderInvalidLoopNest 2022-11-23T02:18:42.2205174Z [ OK ] LoopNest.reorderInvalidLoopNest (0 ms) 2022-11-23T02:18:42.2205592Z [ RUN ] LoopNest.compressBufferSimple 2022-11-23T02:18:42.2206021Z [ OK ] LoopNest.compressBufferSimple (0 ms) 2022-11-23T02:18:42.2206637Z [ RUN ] LoopNest.compressBufferMultipleDims 2022-11-23T02:18:42.2207081Z [ OK ] LoopNest.compressBufferMultipleDims (0 ms) 2022-11-23T02:18:42.2207726Z [ RUN ] LoopNest.compressBufferMultipleDims2 2022-11-23T02:18:42.2208181Z [ OK ] LoopNest.compressBufferMultipleDims2 (0 ms) 2022-11-23T02:18:42.2208563Z [ RUN ] LoopNest.compressBufferDifferentOrderIndices 2022-11-23T02:18:42.2208958Z [ OK ] LoopNest.compressBufferDifferentOrderIndices (0 ms) 2022-11-23T02:18:42.2209347Z [ RUN ] LoopNest.compressBufferVariableBounds 2022-11-23T02:18:42.2209720Z [ OK ] LoopNest.compressBufferVariableBounds (0 ms) 2022-11-23T02:18:42.2210083Z [ RUN ] LoopNest.compressBufferNoCommonParentLoops 2022-11-23T02:18:42.2210478Z [ OK ] LoopNest.compressBufferNoCommonParentLoops (0 ms) 2022-11-23T02:18:42.2210846Z [ RUN ] LoopNest.compressBufferIndicesMixed 2022-11-23T02:18:42.2211196Z [ OK ] LoopNest.compressBufferIndicesMixed (0 ms) 2022-11-23T02:18:42.2211522Z [ RUN ] LoopNest.compressMultipleBuffers 2022-11-23T02:18:42.2211863Z [ OK ] LoopNest.compressMultipleBuffers (0 ms) 2022-11-23T02:18:42.2212291Z [ RUN ] LoopNest.sanitizeNames 2022-11-23T02:18:42.2225352Z [ OK ] LoopNest.sanitizeNames (1 ms) 2022-11-23T02:18:42.2225936Z [----------] 174 tests from LoopNest (1709 ms total) 2022-11-23T02:18:42.2226190Z 2022-11-23T02:18:42.2226343Z [----------] 31 tests from MemDependency 2022-11-23T02:18:42.2226622Z [ RUN ] MemDependency.BoundOverlap 2022-11-23T02:18:42.2238684Z [ OK ] MemDependency.BoundOverlap (1 ms) 2022-11-23T02:18:42.2239208Z [ RUN ] MemDependency.BoundComparison 2022-11-23T02:18:42.2248816Z [ OK ] MemDependency.BoundComparison (1 ms) 2022-11-23T02:18:42.2249393Z [ RUN ] MemDependency.BoundOverlapSymbolic 2022-11-23T02:18:42.2259554Z [ OK ] MemDependency.BoundOverlapSymbolic (1 ms) 2022-11-23T02:18:42.2260154Z [ RUN ] MemDependency.BoundOverlapMultiDim 2022-11-23T02:18:42.2269734Z [ OK ] MemDependency.BoundOverlapMultiDim (1 ms) 2022-11-23T02:18:42.2270294Z [ RUN ] MemDependency.BoundSubtract 2022-11-23T02:18:42.2278337Z [ OK ] MemDependency.BoundSubtract (0 ms) 2022-11-23T02:18:42.2278939Z [ RUN ] MemDependency.BoundSubtractSymbolic 2022-11-23T02:18:42.2304612Z [ OK ] MemDependency.BoundSubtractSymbolic (2 ms) 2022-11-23T02:18:42.2305210Z [ RUN ] MemDependency.BoundSubtractMultiDim 2022-11-23T02:18:42.2333616Z [ OK ] MemDependency.BoundSubtractMultiDim (2 ms) 2022-11-23T02:18:42.2334235Z [ RUN ] MemDependency.BoundSubtractMultiDimSymbolic 2022-11-23T02:18:42.2373394Z [ OK ] MemDependency.BoundSubtractMultiDimSymbolic (3 ms) 2022-11-23T02:18:42.2374122Z [ RUN ] MemDependency.MemDependencyCheckerSimple 2022-11-23T02:18:42.2374526Z [ OK ] MemDependency.MemDependencyCheckerSimple (0 ms) 2022-11-23T02:18:42.2374935Z [ RUN ] MemDependency.MemDependencyCheckerMultiStmt 2022-11-23T02:18:42.2375636Z [ OK ] MemDependency.MemDependencyCheckerMultiStmt (0 ms) 2022-11-23T02:18:42.2376370Z [ RUN ] MemDependency.MemDependencyCheckerOverlap 2022-11-23T02:18:42.2376838Z [ OK ] MemDependency.MemDependencyCheckerOverlap (0 ms) 2022-11-23T02:18:42.2377257Z [ RUN ] MemDependency.MemDependencyCheckerLoop 2022-11-23T02:18:42.2378111Z [ OK ] MemDependency.MemDependencyCheckerLoop (0 ms) 2022-11-23T02:18:42.2378504Z [ RUN ] MemDependency.MemDependencyCheckerLoopReduce 2022-11-23T02:18:42.2381352Z [ OK ] MemDependency.MemDependencyCheckerLoopReduce (0 ms) 2022-11-23T02:18:42.2381781Z [ RUN ] MemDependency.MemDependencyCheckerLoopReduceExpanded 2022-11-23T02:18:42.2384422Z [ OK ] MemDependency.MemDependencyCheckerLoopReduceExpanded (0 ms) 2022-11-23T02:18:42.2384877Z [ RUN ] MemDependency.MemDependencyCheckerInputsOutputs 2022-11-23T02:18:42.2386719Z [ OK ] MemDependency.MemDependencyCheckerInputsOutputs (0 ms) 2022-11-23T02:18:42.2387238Z [ RUN ] MemDependency.MemDependencyCheckerOutputDoesntDepend 2022-11-23T02:18:42.2388412Z [ OK ] MemDependency.MemDependencyCheckerOutputDoesntDepend (0 ms) 2022-11-23T02:18:42.2388854Z [ RUN ] MemDependency.MemDependencyCheckerLoopBounds 2022-11-23T02:18:42.2401384Z [ OK ] MemDependency.MemDependencyCheckerLoopBounds (1 ms) 2022-11-23T02:18:42.2401831Z [ RUN ] MemDependency.MemDependencyCheckerLoopBoundsIndexShift 2022-11-23T02:18:42.2434530Z [ OK ] MemDependency.MemDependencyCheckerLoopBoundsIndexShift (3 ms) 2022-11-23T02:18:42.2435001Z [ RUN ] MemDependency.MemDependencyCheckerLoopSelfDependency 2022-11-23T02:18:42.2597435Z [ OK ] MemDependency.MemDependencyCheckerLoopSelfDependency (16 ms) 2022-11-23T02:18:42.2597902Z [ RUN ] MemDependency.MemDependencyCheckerLoopDistinctStrides 2022-11-23T02:18:42.2608433Z [ OK ] MemDependency.MemDependencyCheckerLoopDistinctStrides (1 ms) 2022-11-23T02:18:42.2608889Z [ RUN ] MemDependency.MemDependencyCheckerLoopBoundsCond 2022-11-23T02:18:42.2629427Z [ OK ] MemDependency.MemDependencyCheckerLoopBoundsCond (2 ms) 2022-11-23T02:18:42.2629849Z [ RUN ] MemDependency.MemDependencyCheckerIfThenElse 2022-11-23T02:18:42.2643235Z [ OK ] MemDependency.MemDependencyCheckerIfThenElse (1 ms) 2022-11-23T02:18:42.2643690Z [ RUN ] MemDependency.MemDependencyCheckerCutLoop 2022-11-23T02:18:42.2666030Z [ OK ] MemDependency.MemDependencyCheckerCutLoop (2 ms) 2022-11-23T02:18:42.2666516Z [ RUN ] MemDependency.MemDependencyCheckerDynamicShapes 2022-11-23T02:18:42.2698154Z [ OK ] MemDependency.MemDependencyCheckerDynamicShapes (3 ms) 2022-11-23T02:18:42.2698557Z [ RUN ] MemDependency.MemDependencyCheckerMultiDim 2022-11-23T02:18:42.2740116Z [ OK ] MemDependency.MemDependencyCheckerMultiDim (4 ms) 2022-11-23T02:18:42.2740525Z [ RUN ] MemDependency.MemDependencyCheckerComputeAPI 2022-11-23T02:18:42.2753106Z [ OK ] MemDependency.MemDependencyCheckerComputeAPI (1 ms) 2022-11-23T02:18:42.2753522Z [ RUN ] MemDependency.MemDependencyCheckerComputeInline 2022-11-23T02:18:42.2762570Z [ OK ] MemDependency.MemDependencyCheckerComputeInline (0 ms) 2022-11-23T02:18:42.2762996Z [ RUN ] MemDependency.MemDependencyCheckerComputeSplit 2022-11-23T02:18:42.2788906Z [ OK ] MemDependency.MemDependencyCheckerComputeSplit (2 ms) 2022-11-23T02:18:42.2789468Z [ RUN ] MemDependency.MemDependencyCheckerComputeReorder 2022-11-23T02:18:42.2805498Z [ OK ] MemDependency.MemDependencyCheckerComputeReorder (1 ms) 2022-11-23T02:18:42.2805940Z [ RUN ] MemDependency.MemDependencyCheckerComputeReduce 2022-11-23T02:18:42.2819181Z [ OK ] MemDependency.MemDependencyCheckerComputeReduce (1 ms) 2022-11-23T02:18:42.2819613Z [ RUN ] MemDependency.MemDependencyCheckerComputeGEMM 2022-11-23T02:18:42.3011580Z [ OK ] MemDependency.MemDependencyCheckerComputeGEMM (19 ms) 2022-11-23T02:18:42.3012031Z [----------] 31 tests from MemDependency (78 ms total) 2022-11-23T02:18:42.3012193Z 2022-11-23T02:18:42.3012323Z [----------] 2 tests from Ops 2022-11-23T02:18:42.3012563Z [ RUN ] Ops.Sum 2022-11-23T02:18:42.3053415Z [ OK ] Ops.Sum (4 ms) 2022-11-23T02:18:42.3053682Z [ RUN ] Ops.ChannelsLastSum 2022-11-23T02:18:42.4169749Z [ OK ] Ops.ChannelsLastSum (111 ms) 2022-11-23T02:18:42.4170258Z [----------] 2 tests from Ops (115 ms total) 2022-11-23T02:18:42.4170494Z 2022-11-23T02:18:42.4170649Z [----------] 10 tests from Quantization 2022-11-23T02:18:42.4170964Z [ RUN ] Quantization.QuantDequantInt8 2022-11-23T02:18:42.4430967Z [ OK ] Quantization.QuantDequantInt8 (26 ms) 2022-11-23T02:18:42.4431327Z [ RUN ] Quantization.QuantDequantUInt8 2022-11-23T02:18:42.4685257Z [ OK ] Quantization.QuantDequantUInt8 (25 ms) 2022-11-23T02:18:42.4685726Z [ RUN ] Quantization.QuantDequantUInt8_NLC 2022-11-23T02:18:42.4946562Z [ OK ] Quantization.QuantDequantUInt8_NLC (26 ms) 2022-11-23T02:18:42.4946926Z [ RUN ] Quantization.QuantAddDequantInt8 2022-11-23T02:18:42.5237732Z [ OK ] Quantization.QuantAddDequantInt8 (29 ms) 2022-11-23T02:18:42.5238238Z [ RUN ] Quantization.QuantAddDequantUInt8 2022-11-23T02:18:42.5529171Z [ OK ] Quantization.QuantAddDequantUInt8 (29 ms) 2022-11-23T02:18:42.5529632Z [ RUN ] Quantization.QuantSigmoidDequantUInt8 2022-11-23T02:18:42.5889834Z [ OK ] Quantization.QuantSigmoidDequantUInt8 (36 ms) 2022-11-23T02:18:42.5890527Z [ RUN ] Quantization.QuantMulDequantUInt8 2022-11-23T02:18:42.6300194Z [ OK ] Quantization.QuantMulDequantUInt8 (40 ms) 2022-11-23T02:18:42.6301044Z [ RUN ] Quantization.QuantUpsampleNearst2dDequantUInt8 2022-11-23T02:18:42.6771437Z [ OK ] Quantization.QuantUpsampleNearst2dDequantUInt8 (47 ms) 2022-11-23T02:18:42.6772154Z [ RUN ] Quantization.UpsampleNearst2d 2022-11-23T02:18:42.7078255Z [ OK ] Quantization.UpsampleNearst2d (30 ms) 2022-11-23T02:18:42.7079289Z [ RUN ] Quantization.QuantCatDequantUInt8 2022-11-23T02:18:42.7703191Z [ OK ] Quantization.QuantCatDequantUInt8 (62 ms) 2022-11-23T02:18:42.7703876Z [----------] 10 tests from Quantization (353 ms total) 2022-11-23T02:18:42.7704091Z 2022-11-23T02:18:42.7704249Z [----------] 2 tests from BufLiveRange 2022-11-23T02:18:42.7704548Z [ RUN ] BufLiveRange.SingleRangeLine 2022-11-23T02:18:42.7704885Z [ OK ] BufLiveRange.SingleRangeLine (0 ms) 2022-11-23T02:18:42.7705178Z [ RUN ] BufLiveRange.MulRangeLine 2022-11-23T02:18:42.7705482Z [ OK ] BufLiveRange.MulRangeLine (0 ms) 2022-11-23T02:18:42.7705803Z [----------] 2 tests from BufLiveRange (0 ms total) 2022-11-23T02:18:42.7705956Z 2022-11-23T02:18:42.7706105Z [----------] 6 tests from MemPlanning 2022-11-23T02:18:42.7706397Z [ RUN ] MemPlanning.MemReuseWithTypeCast 2022-11-23T02:18:42.8346466Z [ OK ] MemPlanning.MemReuseWithTypeCast (64 ms) 2022-11-23T02:18:42.8346993Z [ RUN ] MemPlanning.NoMemReuseForLargerType 2022-11-23T02:18:42.9100069Z [ OK ] MemPlanning.NoMemReuseForLargerType (75 ms) 2022-11-23T02:18:42.9100455Z [ RUN ] MemPlanning.SameBufSizeMemReuse 2022-11-23T02:18:43.1776823Z [ OK ] MemPlanning.SameBufSizeMemReuse (267 ms) 2022-11-23T02:18:43.1777308Z [ RUN ] MemPlanning.SameBufSizeMultiMemReuses 2022-11-23T02:18:43.4516756Z [ OK ] MemPlanning.SameBufSizeMultiMemReuses (273 ms) 2022-11-23T02:18:43.8036672Z [ RUN ] MemPlanning.SameBufSizeMultiMemReusesOfOneBuf 2022-11-23T02:18:43.8037137Z [ OK ] MemPlanning.SameBufSizeMultiMemReusesOfOneBuf (351 ms) 2022-11-23T02:18:43.8037523Z [ RUN ] MemPlanning.SmallerBufSizeNonMemReuse 2022-11-23T02:18:43.9553627Z [ OK ] MemPlanning.SmallerBufSizeNonMemReuse (151 ms) 2022-11-23T02:18:43.9554240Z [----------] 6 tests from MemPlanning (1184 ms total) 2022-11-23T02:18:43.9554547Z 2022-11-23T02:18:43.9554793Z [----------] 45 tests from Reductions 2022-11-23T02:18:43.9555283Z [ RUN ] Reductions.ReduceSum0D_1 2022-11-23T02:18:43.9555740Z [ OK ] Reductions.ReduceSum0D_1 (0 ms) 2022-11-23T02:18:43.9556031Z [ RUN ] Reductions.ReduceSum0D_2 2022-11-23T02:18:43.9556315Z [ OK ] Reductions.ReduceSum0D_2 (0 ms) 2022-11-23T02:18:43.9556604Z [ RUN ] Reductions.ReduceSum1D 2022-11-23T02:18:43.9557143Z [ OK ] Reductions.ReduceSum1D (0 ms) 2022-11-23T02:18:43.9557675Z [ RUN ] Reductions.ReduceSum2D 2022-11-23T02:18:43.9562000Z [ OK ] Reductions.ReduceSum2D (0 ms) 2022-11-23T02:18:43.9562527Z [ RUN ] Reductions.ReduceSum3D 2022-11-23T02:18:43.9598026Z [ OK ] Reductions.ReduceSum3D (3 ms) 2022-11-23T02:18:43.9598546Z [ RUN ] Reductions.ReduceSum10D 2022-11-23T02:18:44.6412360Z [ OK ] Reductions.ReduceSum10D (681 ms) 2022-11-23T02:18:44.6412729Z [ RUN ] Reductions.ReduceProduct 2022-11-23T02:18:44.6415482Z [ OK ] Reductions.ReduceProduct (0 ms) 2022-11-23T02:18:44.6415780Z [ RUN ] Reductions.ReduceMax 2022-11-23T02:18:44.6420140Z [ OK ] Reductions.ReduceMax (0 ms) 2022-11-23T02:18:44.6420649Z [ RUN ] Reductions.ReduceMinCustomInitializer 2022-11-23T02:18:44.6422584Z [ OK ] Reductions.ReduceMinCustomInitializer (0 ms) 2022-11-23T02:18:44.6422918Z [ RUN ] Reductions.ReduceAnyAll 2022-11-23T02:18:44.6447303Z [ OK ] Reductions.ReduceAnyAll (2 ms) 2022-11-23T02:18:44.6447613Z [ RUN ] Reductions.ReduceMatmul2D 2022-11-23T02:18:44.6457780Z [ OK ] Reductions.ReduceMatmul2D (1 ms) 2022-11-23T02:18:44.6458094Z [ RUN ] Reductions.ReduceRfactorLike 2022-11-23T02:18:44.6469650Z [ OK ] Reductions.ReduceRfactorLike (1 ms) 2022-11-23T02:18:44.6469974Z [ RUN ] Reductions.ReduceAsProducer 2022-11-23T02:18:44.6492782Z [ OK ] Reductions.ReduceAsProducer (2 ms) 2022-11-23T02:18:44.6493082Z [ RUN ] Reductions.ReduceAsConsumer 2022-11-23T02:18:44.6528984Z [ OK ] Reductions.ReduceAsConsumer (3 ms) 2022-11-23T02:18:44.6529310Z [ RUN ] Reductions.SplitReduceAxis 2022-11-23T02:18:44.6545715Z [ OK ] Reductions.SplitReduceAxis (1 ms) 2022-11-23T02:18:44.6546021Z [ RUN ] Reductions.SplitNonReduceAxis 2022-11-23T02:18:44.6580061Z [ OK ] Reductions.SplitNonReduceAxis (3 ms) 2022-11-23T02:18:44.6580418Z [ RUN ] Reductions.ReorderedReductionInitializer 2022-11-23T02:18:44.6620938Z [ OK ] Reductions.ReorderedReductionInitializer (4 ms) 2022-11-23T02:18:44.6621285Z [ RUN ] Reductions.ReduceRfactor 2022-11-23T02:18:44.6632093Z [ OK ] Reductions.ReduceRfactor (1 ms) 2022-11-23T02:18:44.6632418Z [ RUN ] Reductions.Reduce3DRfactorInner 2022-11-23T02:18:44.6761279Z [ OK ] Reductions.Reduce3DRfactorInner (12 ms) 2022-11-23T02:18:44.6761609Z [ RUN ] Reductions.Reduce3DRfactorOuter 2022-11-23T02:18:44.6895104Z [ OK ] Reductions.Reduce3DRfactorOuter (13 ms) 2022-11-23T02:18:44.6895484Z [ RUN ] Reductions.ReduceRepeatedInternalRfactor 2022-11-23T02:18:44.8663511Z [ OK ] Reductions.ReduceRepeatedInternalRfactor (176 ms) 2022-11-23T02:18:44.8663891Z [ RUN ] Reductions.ReduceSplitTail 2022-11-23T02:18:44.9068125Z [ OK ] Reductions.ReduceSplitTail (40 ms) 2022-11-23T02:18:44.9068492Z [ RUN ] Reductions.ReduceSplitNoTail 2022-11-23T02:18:44.9534726Z [ OK ] Reductions.ReduceSplitNoTail (46 ms) 2022-11-23T02:18:44.9535298Z [ RUN ] Reductions.ReduceOverSplitTail 2022-11-23T02:18:44.9926213Z [ OK ] Reductions.ReduceOverSplitTail (39 ms) 2022-11-23T02:18:44.9926534Z [ RUN ] Reductions.ReduceSplitMask 2022-11-23T02:18:45.0433436Z [ OK ] Reductions.ReduceSplitMask (50 ms) 2022-11-23T02:18:45.0433746Z [ RUN ] Reductions.ReduceSplitNoMask 2022-11-23T02:18:45.0896127Z [ OK ] Reductions.ReduceSplitNoMask (46 ms) 2022-11-23T02:18:45.0896483Z [ RUN ] Reductions.ReduceOverSplitMask 2022-11-23T02:18:45.1313095Z [ OK ] Reductions.ReduceOverSplitMask (41 ms) 2022-11-23T02:18:45.1313435Z [ RUN ] Reductions.ReduceSplitRfactor 2022-11-23T02:18:45.1356618Z [ OK ] Reductions.ReduceSplitRfactor (4 ms) 2022-11-23T02:18:45.1356960Z [ RUN ] Reductions.ReduceOverSplitRfactor 2022-11-23T02:18:45.1372463Z [ OK ] Reductions.ReduceOverSplitRfactor (1 ms) 2022-11-23T02:18:45.1372915Z [ RUN ] Reductions.ReduceInlineReduction 2022-11-23T02:18:45.1374010Z [ OK ] Reductions.ReduceInlineReduction (0 ms) 2022-11-23T02:18:45.1374350Z [ RUN ] Reductions.ReduceInlineConsumer 2022-11-23T02:18:45.1466087Z [ OK ] Reductions.ReduceInlineConsumer (9 ms) 2022-11-23T02:18:45.1466441Z [ RUN ] Reductions.ReduceInlineReducerInternal 2022-11-23T02:18:45.1560575Z [ OK ] Reductions.ReduceInlineReducerInternal (9 ms) 2022-11-23T02:18:45.1560972Z [ RUN ] Reductions.ReductionCacheAccessesOperatorAxis 2022-11-23T02:18:45.1611216Z [ OK ] Reductions.ReductionCacheAccessesOperatorAxis (5 ms) 2022-11-23T02:18:45.1611944Z [ RUN ] Reductions.ReductionCacheAccessesOuterReduceAxis 2022-11-23T02:18:45.1658480Z [ OK ] Reductions.ReductionCacheAccessesOuterReduceAxis (4 ms) 2022-11-23T02:18:45.1659276Z [ RUN ] Reductions.ReductionCacheAccessesInnerReduceAxis 2022-11-23T02:18:45.1705325Z [ OK ] Reductions.ReductionCacheAccessesInnerReduceAxis (4 ms) 2022-11-23T02:18:45.1706060Z [ RUN ] Reductions.ReductionCacheBodyAccess 2022-11-23T02:18:45.1722677Z [ OK ] Reductions.ReductionCacheBodyAccess (1 ms) 2022-11-23T02:18:45.1723354Z [ RUN ] Reductions.ReductionCacheConsumerAccess 2022-11-23T02:18:45.1743177Z [ OK ] Reductions.ReductionCacheConsumerAccess (2 ms) 2022-11-23T02:18:45.1743843Z [ RUN ] Reductions.ReductionSplitCacheConsumerAccess 2022-11-23T02:18:45.1766383Z [ OK ] Reductions.ReductionSplitCacheConsumerAccess (2 ms) 2022-11-23T02:18:45.1767027Z [ RUN ] Reductions.ReductionReorderCacheConsumerAccess 2022-11-23T02:18:45.1787157Z [ OK ] Reductions.ReductionReorderCacheConsumerAccess (2 ms) 2022-11-23T02:18:45.1787776Z [ RUN ] Reductions.ReductionRfactorCacheTempOuter 2022-11-23T02:18:45.1966650Z [ OK ] Reductions.ReductionRfactorCacheTempOuter (17 ms) 2022-11-23T02:18:45.1967073Z [ RUN ] Reductions.ReductionRfactorCacheTempInner 2022-11-23T02:18:45.2111599Z [ OK ] Reductions.ReductionRfactorCacheTempInner (14 ms) 2022-11-23T02:18:45.2111967Z [ RUN ] Reductions.ReductionVectorize 2022-11-23T02:18:45.2123504Z [ OK ] Reductions.ReductionVectorize (1 ms) 2022-11-23T02:18:45.2123913Z [ RUN ] Reductions.ReductionVectorizeInner 2022-11-23T02:18:45.2124266Z [ OK ] Reductions.ReductionVectorizeInner (0 ms) 2022-11-23T02:18:45.2124603Z [ RUN ] Reductions.ReductionVectorizeRfactor 2022-11-23T02:18:45.2139245Z [ OK ] Reductions.ReductionVectorizeRfactor (1 ms) 2022-11-23T02:18:45.2139582Z [ RUN ] Reductions.InitFunction 2022-11-23T02:18:45.2141516Z [ OK ] Reductions.InitFunction (0 ms) 2022-11-23T02:18:45.2142102Z [----------] 45 tests from Reductions (1258 ms total) 2022-11-23T02:18:45.2142319Z 2022-11-23T02:18:45.2142477Z [----------] 69 tests from Registerizer 2022-11-23T02:18:45.2142828Z [ RUN ] Registerizer.RegisterizerSimple 2022-11-23T02:18:45.2144235Z [ OK ] Registerizer.RegisterizerSimple (0 ms) 2022-11-23T02:18:45.2144595Z [ RUN ] Registerizer.RegisterizerLoop 2022-11-23T02:18:45.2145636Z [ OK ] Registerizer.RegisterizerLoop (0 ms) 2022-11-23T02:18:45.2145997Z [ RUN ] Registerizer.RegisterizerLoopFixedLoad 2022-11-23T02:18:45.2147453Z [ OK ] Registerizer.RegisterizerLoopFixedLoad (0 ms) 2022-11-23T02:18:45.2147895Z [ RUN ] Registerizer.RegisterizerLoopInternal 2022-11-23T02:18:45.2149564Z [ OK ] Registerizer.RegisterizerLoopInternal (0 ms) 2022-11-23T02:18:45.2149975Z [ RUN ] Registerizer.RegisterizerLoopInternalLoadOverlap 2022-11-23T02:18:45.2151932Z [ OK ] Registerizer.RegisterizerLoopInternalLoadOverlap (0 ms) 2022-11-23T02:18:45.2152368Z [ RUN ] Registerizer.RegisterizerLoopInternalRepeated 2022-11-23T02:18:45.2156463Z [ OK ] Registerizer.RegisterizerLoopInternalRepeated (0 ms) 2022-11-23T02:18:45.2156936Z [ RUN ] Registerizer.RegisterizerLoopInternalRepeatedOverlapLoopVar 2022-11-23T02:18:45.2160749Z [ OK ] Registerizer.RegisterizerLoopInternalRepeatedOverlapLoopVar (0 ms) 2022-11-23T02:18:45.2161392Z [ RUN ] Registerizer.RegisterizerLoopInternalRepeatedOverlapOther 2022-11-23T02:18:45.2164982Z [ OK ] Registerizer.RegisterizerLoopInternalRepeatedOverlapOther (0 ms) 2022-11-23T02:18:45.2165388Z [ RUN ] Registerizer.RegisterizerMultiVar 2022-11-23T02:18:45.2183835Z [ OK ] Registerizer.RegisterizerMultiVar (1 ms) 2022-11-23T02:18:45.2184235Z [ RUN ] Registerizer.RegisterizerVariableLoad 2022-11-23T02:18:45.2186358Z [ OK ] Registerizer.RegisterizerVariableLoad (0 ms) 2022-11-23T02:18:45.2186908Z [ RUN ] Registerizer.RegisterizerSymbolicIndices 2022-11-23T02:18:45.2188184Z [ OK ] Registerizer.RegisterizerSymbolicIndices (0 ms) 2022-11-23T02:18:45.2188605Z [ RUN ] Registerizer.RegisterizerMultiLoop 2022-11-23T02:18:45.2191061Z [ OK ] Registerizer.RegisterizerMultiLoop (0 ms) 2022-11-23T02:18:45.2191454Z [ RUN ] Registerizer.RegisterizerRepeated 2022-11-23T02:18:45.2194756Z [ OK ] Registerizer.RegisterizerRepeated (0 ms) 2022-11-23T02:18:45.2195144Z [ RUN ] Registerizer.RegisterizerNoLoads 2022-11-23T02:18:45.2196480Z [ OK ] Registerizer.RegisterizerNoLoads (0 ms) 2022-11-23T02:18:45.2196895Z [ RUN ] Registerizer.RegisterizerNoRepeatedStores 2022-11-23T02:18:45.2198601Z [ OK ] Registerizer.RegisterizerNoRepeatedStores (0 ms) 2022-11-23T02:18:45.2199040Z [ RUN ] Registerizer.RegisterizerMultiVarOverlap 2022-11-23T02:18:45.2202481Z [ OK ] Registerizer.RegisterizerMultiVarOverlap (0 ms) 2022-11-23T02:18:45.2202891Z [ RUN ] Registerizer.RegisterizerAllocs 2022-11-23T02:18:45.2206072Z [ OK ] Registerizer.RegisterizerAllocs (0 ms) 2022-11-23T02:18:45.2206474Z [ RUN ] Registerizer.RegisterizerNoInitializer 2022-11-23T02:18:45.2207827Z [ OK ] Registerizer.RegisterizerNoInitializer (0 ms) 2022-11-23T02:18:45.2208288Z [ RUN ] Registerizer.RegisterizerNoInitializerLoopVar 2022-11-23T02:18:45.2209459Z [ OK ] Registerizer.RegisterizerNoInitializerLoopVar (0 ms) 2022-11-23T02:18:45.2209903Z [ RUN ] Registerizer.RegisterizerLoadThenStore 2022-11-23T02:18:45.2211689Z [ OK ] Registerizer.RegisterizerLoadThenStore (0 ms) 2022-11-23T02:18:45.2212121Z [ RUN ] Registerizer.RegisterizerParallelized 2022-11-23T02:18:45.2226675Z [ OK ] Registerizer.RegisterizerParallelized (1 ms) 2022-11-23T02:18:45.2227106Z [ RUN ] Registerizer.RegisterizerConditionAfter 2022-11-23T02:18:45.2228939Z [ OK ] Registerizer.RegisterizerConditionAfter (0 ms) 2022-11-23T02:18:45.2229444Z [ RUN ] Registerizer.RegisterizerConditionBefore 2022-11-23T02:18:45.2231010Z [ OK ] Registerizer.RegisterizerConditionBefore (0 ms) 2022-11-23T02:18:45.2231447Z [ RUN ] Registerizer.RegisterizerConditionInside 2022-11-23T02:18:45.2233560Z [ OK ] Registerizer.RegisterizerConditionInside (0 ms) 2022-11-23T02:18:45.2234026Z [ RUN ] Registerizer.RegisterizerConditionInsideOverlap1 2022-11-23T02:18:45.2236853Z [ OK ] Registerizer.RegisterizerConditionInsideOverlap1 (0 ms) 2022-11-23T02:18:45.2237340Z [ RUN ] Registerizer.RegisterizerConditionInsideOverlap2 2022-11-23T02:18:45.2241128Z [ OK ] Registerizer.RegisterizerConditionInsideOverlap2 (0 ms) 2022-11-23T02:18:45.2241576Z [ RUN ] Registerizer.RegisterizerConditionHidden 2022-11-23T02:18:45.2242943Z [ OK ] Registerizer.RegisterizerConditionHidden (0 ms) 2022-11-23T02:18:45.2243382Z [ RUN ] Registerizer.RegisterizerConditionUnhidden 2022-11-23T02:18:45.2245267Z [ OK ] Registerizer.RegisterizerConditionUnhidden (0 ms) 2022-11-23T02:18:45.2245781Z [ RUN ] Registerizer.RegisterizerCondCondition 2022-11-23T02:18:45.2247604Z [ OK ] Registerizer.RegisterizerCondCondition (0 ms) 2022-11-23T02:18:45.2248056Z [ RUN ] Registerizer.RegisterizerCondConditionUnhidden 2022-11-23T02:18:45.2249941Z [ OK ] Registerizer.RegisterizerCondConditionUnhidden (0 ms) 2022-11-23T02:18:45.2250383Z [ RUN ] Registerizer.RegisterizerIfThenElseHidden 2022-11-23T02:18:45.2254426Z [ OK ] Registerizer.RegisterizerIfThenElseHidden (0 ms) 2022-11-23T02:18:45.2254876Z [ RUN ] Registerizer.RegisterizerIfThenElseUnhidden 2022-11-23T02:18:45.2259695Z [ OK ] Registerizer.RegisterizerIfThenElseUnhidden (0 ms) 2022-11-23T02:18:45.2260169Z [ RUN ] Registerizer.RegisterizerIfThenElseNested 2022-11-23T02:18:45.2262168Z [ OK ] Registerizer.RegisterizerIfThenElseNested (0 ms) 2022-11-23T02:18:45.2262636Z [ RUN ] Registerizer.RegisterizerIfThenElseInternal 2022-11-23T02:18:45.2264698Z [ OK ] Registerizer.RegisterizerIfThenElseInternal (0 ms) 2022-11-23T02:18:45.2265168Z [ RUN ] Registerizer.RegisterizerIfThenElseCondition 2022-11-23T02:18:45.2266367Z [ OK ] Registerizer.RegisterizerIfThenElseCondition (0 ms) 2022-11-23T02:18:45.2267096Z [ RUN ] Registerizer.RegisterizerIfThenElseConditionUnhidden 2022-11-23T02:18:45.2268851Z [ OK ] Registerizer.RegisterizerIfThenElseConditionUnhidden (0 ms) 2022-11-23T02:18:45.2269545Z [ RUN ] Registerizer.RegisterizerConditionBranchOnly 2022-11-23T02:18:45.2282240Z [ OK ] Registerizer.RegisterizerConditionBranchOnly (1 ms) 2022-11-23T02:18:45.2282840Z [ RUN ] Registerizer.RegisterizerCondIfThenElse 2022-11-23T02:18:45.2284637Z [ OK ] Registerizer.RegisterizerCondIfThenElse (0 ms) 2022-11-23T02:18:45.2285270Z [ RUN ] Registerizer.RegisterizerIfThenElseLoop 2022-11-23T02:18:45.2286497Z [ OK ] Registerizer.RegisterizerIfThenElseLoop (0 ms) 2022-11-23T02:18:45.2287118Z [ RUN ] Registerizer.RegisterizerIfThenElseLoopCut 2022-11-23T02:18:45.2288688Z [ OK ] Registerizer.RegisterizerIfThenElseLoopCut (0 ms) 2022-11-23T02:18:45.2289313Z [ RUN ] Registerizer.RegisterizerPartialAfter 2022-11-23T02:18:45.2291950Z [ OK ] Registerizer.RegisterizerPartialAfter (0 ms) 2022-11-23T02:18:45.2292581Z [ RUN ] Registerizer.RegisterizerPartialBefore 2022-11-23T02:18:45.2295213Z [ OK ] Registerizer.RegisterizerPartialBefore (0 ms) 2022-11-23T02:18:45.2295842Z [ RUN ] Registerizer.RegisterizerPartialInside 2022-11-23T02:18:45.2299644Z [ OK ] Registerizer.RegisterizerPartialInside (0 ms) 2022-11-23T02:18:45.2300336Z [ RUN ] Registerizer.RegisterizerPartialCondition 2022-11-23T02:18:45.2305571Z [ OK ] Registerizer.RegisterizerPartialCondition (0 ms) 2022-11-23T02:18:45.2306226Z [ RUN ] Registerizer.RegisterizerPartialConditionInternalCut 2022-11-23T02:18:45.2307410Z [ OK ] Registerizer.RegisterizerPartialConditionInternalCut (0 ms) 2022-11-23T02:18:45.2308092Z [ RUN ] Registerizer.RegisterizerPartialConditionInternalStart 2022-11-23T02:18:45.2309246Z [ OK ] Registerizer.RegisterizerPartialConditionInternalStart (0 ms) 2022-11-23T02:18:45.2309886Z [ RUN ] Registerizer.RegisterizerPartialOverlapsTwo 2022-11-23T02:18:45.2312715Z [ OK ] Registerizer.RegisterizerPartialOverlapsTwo (0 ms) 2022-11-23T02:18:45.2313329Z [ RUN ] Registerizer.RegisterizerNestedBlocks 2022-11-23T02:18:45.2314923Z [ OK ] Registerizer.RegisterizerNestedBlocks (0 ms) 2022-11-23T02:18:45.2315543Z [ RUN ] Registerizer.RegisterizerNestedConditions 2022-11-23T02:18:45.2317040Z [ OK ] Registerizer.RegisterizerNestedConditions (0 ms) 2022-11-23T02:18:45.2317797Z [ RUN ] Registerizer.RegisterizerNestedConditionsUnhidden 2022-11-23T02:18:45.2319416Z [ OK ] Registerizer.RegisterizerNestedConditionsUnhidden (0 ms) 2022-11-23T02:18:45.2320100Z [ RUN ] Registerizer.RegisterizerNestedConditionsHiddenFirst 2022-11-23T02:18:45.2322634Z [ OK ] Registerizer.RegisterizerNestedConditionsHiddenFirst (0 ms) 2022-11-23T02:18:45.2323301Z [ RUN ] Registerizer.RegisterizerNestedConditionsHiddenSecond 2022-11-23T02:18:45.2325667Z [ OK ] Registerizer.RegisterizerNestedConditionsHiddenSecond (0 ms) 2022-11-23T02:18:45.2326366Z [ RUN ] Registerizer.RegisterizerNestedConditionsCut 2022-11-23T02:18:45.2327460Z [ OK ] Registerizer.RegisterizerNestedConditionsCut (0 ms) 2022-11-23T02:18:45.2328124Z [ RUN ] Registerizer.RegisterizerNestedConditionLoopHidden 2022-11-23T02:18:45.2330473Z [ OK ] Registerizer.RegisterizerNestedConditionLoopHidden (0 ms) 2022-11-23T02:18:45.2331134Z [ RUN ] Registerizer.RegisterizerNestedConditionThreeDeep 2022-11-23T02:18:45.2336954Z [ OK ] Registerizer.RegisterizerNestedConditionThreeDeep (0 ms) 2022-11-23T02:18:45.2337605Z [ RUN ] Registerizer.RegisterizerNestedLoopSimple 2022-11-23T02:18:45.2338959Z [ OK ] Registerizer.RegisterizerNestedLoopSimple (0 ms) 2022-11-23T02:18:45.2339591Z [ RUN ] Registerizer.RegisterizerHiddenAccessYes 2022-11-23T02:18:45.2342509Z [ OK ] Registerizer.RegisterizerHiddenAccessYes (0 ms) 2022-11-23T02:18:45.2343112Z [ RUN ] Registerizer.RegisterizerHiddenAccessNo 2022-11-23T02:18:45.2345626Z [ OK ] Registerizer.RegisterizerHiddenAccessNo (0 ms) 2022-11-23T02:18:45.2346259Z [ RUN ] Registerizer.RegisterizerHiddenAccessMultiLoop 2022-11-23T02:18:45.2349830Z [ OK ] Registerizer.RegisterizerHiddenAccessMultiLoop (0 ms) 2022-11-23T02:18:45.2350452Z [ RUN ] Registerizer.RegisterizerTwoConditionalLoops 2022-11-23T02:18:45.2352770Z [ OK ] Registerizer.RegisterizerTwoConditionalLoops (0 ms) 2022-11-23T02:18:45.2353411Z [ RUN ] Registerizer.RegisterizerTwoConditionalLoopsCut 2022-11-23T02:18:45.2356136Z [ OK ] Registerizer.RegisterizerTwoConditionalLoopsCut (0 ms) 2022-11-23T02:18:45.2356814Z [ RUN ] Registerizer.RegisterizerLoopLetVar 2022-11-23T02:18:45.2357783Z [ OK ] Registerizer.RegisterizerLoopLetVar (0 ms) 2022-11-23T02:18:45.2358411Z [ RUN ] Registerizer.RegisterizerLoopLetVarOuter 2022-11-23T02:18:45.2359420Z [ OK ] Registerizer.RegisterizerLoopLetVarOuter (0 ms) 2022-11-23T02:18:45.2360039Z [ RUN ] Registerizer.RegisterizerMultiDim 2022-11-23T02:18:45.2361523Z [ OK ] Registerizer.RegisterizerMultiDim (0 ms) 2022-11-23T02:18:45.2362155Z [ RUN ] Registerizer.RegisterizerMultiDimPartial 2022-11-23T02:18:45.2364468Z [ OK ] Registerizer.RegisterizerMultiDimPartial (0 ms) 2022-11-23T02:18:45.2365092Z [ RUN ] Registerizer.RegisterizerMultiDimOverlap 2022-11-23T02:18:45.2367520Z [ OK ] Registerizer.RegisterizerMultiDimOverlap (0 ms) 2022-11-23T02:18:45.2368154Z [ RUN ] Registerizer.RegisterizerMultiDimPartialOverlap 2022-11-23T02:18:45.2370695Z [ OK ] Registerizer.RegisterizerMultiDimPartialOverlap (0 ms) 2022-11-23T02:18:45.2371347Z [ RUN ] Registerizer.RegisterizerMultiDim3DReduction1 2022-11-23T02:18:45.2374144Z [ OK ] Registerizer.RegisterizerMultiDim3DReduction1 (0 ms) 2022-11-23T02:18:45.2374772Z [ RUN ] Registerizer.RegisterizerMultiDim3DReduction2 2022-11-23T02:18:45.2378086Z [ OK ] Registerizer.RegisterizerMultiDim3DReduction2 (0 ms) 2022-11-23T02:18:45.2378900Z [----------] 69 tests from Registerizer (23 ms total) 2022-11-23T02:18:45.2379322Z 2022-11-23T02:18:45.2379554Z [----------] 92 tests from Simplify 2022-11-23T02:18:45.2380044Z [ RUN ] Simplify.ConstantFoldSimple 2022-11-23T02:18:45.2380622Z [ OK ] Simplify.ConstantFoldSimple (0 ms) 2022-11-23T02:18:45.2381191Z [ RUN ] Simplify.ConstantFoldTwoLayer 2022-11-23T02:18:45.2381737Z [ OK ] Simplify.ConstantFoldTwoLayer (0 ms) 2022-11-23T02:18:45.2382285Z [ RUN ] Simplify.ConstantFoldShifts 2022-11-23T02:18:45.2382859Z [ OK ] Simplify.ConstantFoldShifts (0 ms) 2022-11-23T02:18:45.2383448Z [ RUN ] Simplify.ConstantFoldBitwise 2022-11-23T02:18:45.2384016Z [ OK ] Simplify.ConstantFoldBitwise (0 ms) 2022-11-23T02:18:45.2384569Z [ RUN ] Simplify.ConstantFoldMultiOp 2022-11-23T02:18:45.2385125Z [ OK ] Simplify.ConstantFoldMultiOp (0 ms) 2022-11-23T02:18:45.2385668Z [ RUN ] Simplify.ConstantFoldMinMax 2022-11-23T02:18:45.2386259Z [ OK ] Simplify.ConstantFoldMinMax (0 ms) 2022-11-23T02:18:45.2386809Z [ RUN ] Simplify.ConstantFoldIntrinsics 2022-11-23T02:18:45.2387399Z [ OK ] Simplify.ConstantFoldIntrinsics (0 ms) 2022-11-23T02:18:45.2387989Z [ RUN ] Simplify.ConstantFoldCastToBool 2022-11-23T02:18:45.2388583Z [ OK ] Simplify.ConstantFoldCastToBool (0 ms) 2022-11-23T02:18:45.2388988Z [ RUN ] Simplify.ConstantFoldWithVar 2022-11-23T02:18:45.2389560Z [ OK ] Simplify.ConstantFoldWithVar (0 ms) 2022-11-23T02:18:45.2390150Z [ RUN ] Simplify.ConditionalSelectFoldSimple 2022-11-23T02:18:45.2390803Z [ OK ] Simplify.ConditionalSelectFoldSimple (0 ms) 2022-11-23T02:18:45.2391410Z [ RUN ] Simplify.ConditionalSelectFoldTwoLayer 2022-11-23T02:18:45.2392067Z [ OK ] Simplify.ConditionalSelectFoldTwoLayer (0 ms) 2022-11-23T02:18:45.2392719Z [ RUN ] Simplify.ConditionalSelectFoldWithVar 2022-11-23T02:18:45.2393248Z [ OK ] Simplify.ConditionalSelectFoldWithVar (0 ms) 2022-11-23T02:18:45.2393823Z [ RUN ] Simplify.UnFoldableExpr 2022-11-23T02:18:45.2394238Z [ OK ] Simplify.UnFoldableExpr (0 ms) 2022-11-23T02:18:45.2394515Z [ RUN ] Simplify.HashSimple 2022-11-23T02:18:45.2394777Z [ OK ] Simplify.HashSimple (0 ms) 2022-11-23T02:18:45.2395060Z [ RUN ] Simplify.HashEquivalence 2022-11-23T02:18:45.2395362Z [ OK ] Simplify.HashEquivalence (0 ms) 2022-11-23T02:18:45.2395655Z [ RUN ] Simplify.HashEquivalenceRand 2022-11-23T02:18:45.2395972Z [ OK ] Simplify.HashEquivalenceRand (0 ms) 2022-11-23T02:18:45.2396304Z [ RUN ] Simplify.HashEquivalenceAfterFolding 2022-11-23T02:18:45.2396646Z [ OK ] Simplify.HashEquivalenceAfterFolding (0 ms) 2022-11-23T02:18:45.2396975Z [ RUN ] Simplify.HashDifferenceTypes 2022-11-23T02:18:45.2397293Z [ OK ] Simplify.HashDifferenceTypes (0 ms) 2022-11-23T02:18:45.2397602Z [ RUN ] Simplify.HashLargeExpression 2022-11-23T02:18:45.2397903Z [ OK ] Simplify.HashLargeExpression (0 ms) 2022-11-23T02:18:45.2398207Z [ RUN ] Simplify.HashForLoopOptions 2022-11-23T02:18:45.2398518Z [ OK ] Simplify.HashForLoopOptions (0 ms) 2022-11-23T02:18:45.2398795Z [ RUN ] Simplify.SimplifyAdd 2022-11-23T02:18:45.2407691Z [ OK ] Simplify.SimplifyAdd (1 ms) 2022-11-23T02:18:45.2407979Z [ RUN ] Simplify.SimplifySub 2022-11-23T02:18:45.2408250Z [ OK ] Simplify.SimplifySub (0 ms) 2022-11-23T02:18:45.2408546Z [ RUN ] Simplify.SimplifyMultiLayer 2022-11-23T02:18:45.2420309Z [ OK ] Simplify.SimplifyMultiLayer (1 ms) 2022-11-23T02:18:45.2420916Z [ RUN ] Simplify.SimplifyMultiTerm 2022-11-23T02:18:45.2421507Z [ OK ] Simplify.SimplifyMultiTerm (0 ms) 2022-11-23T02:18:45.2422065Z [ RUN ] Simplify.SimplifyCasts 2022-11-23T02:18:45.2422550Z [ OK ] Simplify.SimplifyCasts (0 ms) 2022-11-23T02:18:45.2423120Z [ RUN ] Simplify.SimplifyEliminatesNoOps 2022-11-23T02:18:45.2423490Z [ OK ] Simplify.SimplifyEliminatesNoOps (0 ms) 2022-11-23T02:18:45.2423809Z [ RUN ] Simplify.SimplifyMultiVar 2022-11-23T02:18:45.2424104Z [ OK ] Simplify.SimplifyMultiVar (0 ms) 2022-11-23T02:18:45.2424518Z [ RUN ] Simplify.SimplifyEliminatesVar 2022-11-23T02:18:45.2433700Z [ OK ] Simplify.SimplifyEliminatesVar (1 ms) 2022-11-23T02:18:45.2434014Z [ RUN ] Simplify.SimplifyAdds 2022-11-23T02:18:45.2436677Z [ OK ] Simplify.SimplifyAdds (0 ms) 2022-11-23T02:18:45.2437011Z [ RUN ] Simplify.SimplifyMuls 2022-11-23T02:18:45.2441406Z [ OK ] Simplify.SimplifyMuls (0 ms) 2022-11-23T02:18:45.2441682Z [ RUN ] Simplify.SimplifySubs 2022-11-23T02:18:45.2449288Z [ OK ] Simplify.SimplifySubs (0 ms) 2022-11-23T02:18:45.2449588Z [ RUN ] Simplify.SimplifyDiv 2022-11-23T02:18:45.2449876Z [ OK ] Simplify.SimplifyDiv (0 ms) 2022-11-23T02:18:45.2450194Z [ RUN ] Simplify.SimplifyDivWithLoopContext0 2022-11-23T02:18:45.2450974Z [ OK ] Simplify.SimplifyDivWithLoopContext0 (0 ms) 2022-11-23T02:18:45.2451338Z [ RUN ] Simplify.SimplifyDivWithLoopContext1 2022-11-23T02:18:45.2453615Z [ OK ] Simplify.SimplifyDivWithLoopContext1 (0 ms) 2022-11-23T02:18:45.2453978Z [ RUN ] Simplify.SimplifyDivWithLoopContext2 2022-11-23T02:18:45.2456108Z [ OK ] Simplify.SimplifyDivWithLoopContext2 (0 ms) 2022-11-23T02:18:45.2456533Z [ RUN ] Simplify.SimplifyDivWithLoopContext3 2022-11-23T02:18:45.2457342Z [ OK ] Simplify.SimplifyDivWithLoopContext3 (0 ms) 2022-11-23T02:18:45.2460629Z [ RUN ] Simplify.SimplifyDivWithLoopContext4 2022-11-23T02:18:45.2461053Z [ OK ] Simplify.SimplifyDivWithLoopContext4 (0 ms) 2022-11-23T02:18:45.2461399Z [ RUN ] Simplify.SimplifyDivWithLoopContext5 2022-11-23T02:18:45.2463960Z [ OK ] Simplify.SimplifyDivWithLoopContext5 (0 ms) 2022-11-23T02:18:45.2464367Z [ RUN ] Simplify.SimplifyDivWithLoopContext6 2022-11-23T02:18:45.2467585Z [ OK ] Simplify.SimplifyDivWithLoopContext6 (0 ms) 2022-11-23T02:18:45.2468032Z [ RUN ] Simplify.SimplifyDivWithLoopContext7 2022-11-23T02:18:45.2468603Z [ OK ] Simplify.SimplifyDivWithLoopContext7 (0 ms) 2022-11-23T02:18:45.2468954Z [ RUN ] Simplify.SimplifyModWithLoopContext0 2022-11-23T02:18:45.2470531Z [ OK ] Simplify.SimplifyModWithLoopContext0 (0 ms) 2022-11-23T02:18:45.2470878Z [ RUN ] Simplify.SimplifyModWithLoopContext1 2022-11-23T02:18:45.2472679Z [ OK ] Simplify.SimplifyModWithLoopContext1 (0 ms) 2022-11-23T02:18:45.2473040Z [ RUN ] Simplify.SimplifyModWithLoopContext2 2022-11-23T02:18:45.2474752Z [ OK ] Simplify.SimplifyModWithLoopContext2 (0 ms) 2022-11-23T02:18:45.2475243Z [ RUN ] Simplify.SimplifyModWithLoopContext3 2022-11-23T02:18:45.2475933Z [ OK ] Simplify.SimplifyModWithLoopContext3 (0 ms) 2022-11-23T02:18:45.2476287Z [ RUN ] Simplify.SimplifyModWithLoopContext4 2022-11-23T02:18:45.2479021Z [ OK ] Simplify.SimplifyModWithLoopContext4 (0 ms) 2022-11-23T02:18:45.2479378Z [ RUN ] Simplify.SimplifyModWithLoopContext5 2022-11-23T02:18:45.2482174Z [ OK ] Simplify.SimplifyModWithLoopContext5 (0 ms) 2022-11-23T02:18:45.2482519Z [ RUN ] Simplify.SimplifyModWithLoopContext6 2022-11-23T02:18:45.2485625Z [ OK ] Simplify.SimplifyModWithLoopContext6 (0 ms) 2022-11-23T02:18:45.2486076Z [ RUN ] Simplify.SimplifyModWithLoopContext7 2022-11-23T02:18:45.2486803Z [ OK ] Simplify.SimplifyModWithLoopContext7 (0 ms) 2022-11-23T02:18:45.2487104Z [ RUN ] Simplify.SimplifyMod 2022-11-23T02:18:45.2499580Z [ OK ] Simplify.SimplifyMod (1 ms) 2022-11-23T02:18:45.2499880Z [ RUN ] Simplify.SimplifyMultiOp 2022-11-23T02:18:45.2502130Z [ OK ] Simplify.SimplifyMultiOp (0 ms) 2022-11-23T02:18:45.2502418Z [ RUN ] Simplify.SimplifyManyOps 2022-11-23T02:18:45.2506279Z [ OK ] Simplify.SimplifyManyOps (0 ms) 2022-11-23T02:18:45.2506593Z [ RUN ] Simplify.SimplifyFactorization 2022-11-23T02:18:45.2512076Z [ OK ] Simplify.SimplifyFactorization (0 ms) 2022-11-23T02:18:45.2512414Z [ RUN ] Simplify.SimplifyFactorizeUneven 2022-11-23T02:18:45.2514065Z [ OK ] Simplify.SimplifyFactorizeUneven (0 ms) 2022-11-23T02:18:45.2514525Z [ RUN ] Simplify.SimplifyDeeperTerms 2022-11-23T02:18:45.2515216Z [ OK ] Simplify.SimplifyDeeperTerms (0 ms) 2022-11-23T02:18:45.2515550Z [ RUN ] Simplify.SimplifyDeeperDifference 2022-11-23T02:18:45.2516646Z [ OK ] Simplify.SimplifyDeeperDifference (0 ms) 2022-11-23T02:18:45.2516995Z [ RUN ] Simplify.SimplifyFoldComplexDifference 2022-11-23T02:18:45.2518338Z [ OK ] Simplify.SimplifyFoldComplexDifference (0 ms) 2022-11-23T02:18:45.2518694Z [ RUN ] Simplify.SimplifyIfComponents 2022-11-23T02:18:45.2528732Z [ OK ] Simplify.SimplifyIfComponents (1 ms) 2022-11-23T02:18:45.2529111Z [ RUN ] Simplify.SimplifyOpaqueTerms 2022-11-23T02:18:45.2530086Z [ OK ] Simplify.SimplifyOpaqueTerms (0 ms) 2022-11-23T02:18:45.2530417Z [ RUN ] Simplify.SimplifySymbolicMinMax 2022-11-23T02:18:45.2531920Z [ OK ] Simplify.SimplifySymbolicMinMax (0 ms) 2022-11-23T02:18:45.2532240Z [ RUN ] Simplify.SimplifyNestedMax 2022-11-23T02:18:45.2547101Z [ OK ] Simplify.SimplifyNestedMax (1 ms) 2022-11-23T02:18:45.2547414Z [ RUN ] Simplify.SimplifyNestedMin 2022-11-23T02:18:45.2562022Z [ OK ] Simplify.SimplifyNestedMin (1 ms) 2022-11-23T02:18:45.2562373Z [ RUN ] Simplify.SimplifyWontReorderFloat 2022-11-23T02:18:45.2564602Z [ OK ] Simplify.SimplifyWontReorderFloat (0 ms) 2022-11-23T02:18:45.2564963Z [ RUN ] Simplify.SimplifyRoundModPattern 2022-11-23T02:18:45.2573950Z [ OK ] Simplify.SimplifyRoundModPattern (0 ms) 2022-11-23T02:18:45.2574338Z [ RUN ] Simplify.SimplifyRoundModPatternFactorization 2022-11-23T02:18:45.2579180Z [ OK ] Simplify.SimplifyRoundModPatternFactorization (0 ms) 2022-11-23T02:18:45.2579582Z [ RUN ] Simplify.SimplifyRoundModPatternMultivar 2022-11-23T02:18:45.2583507Z [ OK ] Simplify.SimplifyRoundModPatternMultivar (0 ms) 2022-11-23T02:18:45.2583884Z [ RUN ] Simplify.SimplifyModRoundModPattern 2022-11-23T02:18:45.2588931Z [ OK ] Simplify.SimplifyModRoundModPattern (0 ms) 2022-11-23T02:18:45.2589433Z [ RUN ] Simplify.SimplifyModRoundModPatternFactorization 2022-11-23T02:18:45.2597948Z [ OK ] Simplify.SimplifyModRoundModPatternFactorization (0 ms) 2022-11-23T02:18:45.2598371Z [ RUN ] Simplify.SimplifyModRoundModPatternMultivar 2022-11-23T02:18:45.2613341Z [ OK ] Simplify.SimplifyModRoundModPatternMultivar (1 ms) 2022-11-23T02:18:45.2613862Z [ RUN ] Simplify.SimplifyDivisionScalarFactorization 2022-11-23T02:18:45.2615174Z [ OK ] Simplify.SimplifyDivisionScalarFactorization (0 ms) 2022-11-23T02:18:45.2615690Z [ RUN ] Simplify.SimplifyConstantBranches 2022-11-23T02:18:45.2616391Z [ OK ] Simplify.SimplifyConstantBranches (0 ms) 2022-11-23T02:18:45.2616732Z [ RUN ] Simplify.SimplifyConstantCond 2022-11-23T02:18:45.2617429Z [ OK ] Simplify.SimplifyConstantCond (0 ms) 2022-11-23T02:18:45.2618032Z [ RUN ] Simplify.SimplifyEliminateEmptyCond 2022-11-23T02:18:45.2618454Z [ OK ] Simplify.SimplifyEliminateEmptyCond (0 ms) 2022-11-23T02:18:45.2618964Z [ RUN ] Simplify.SimplifyConstantComparisons 2022-11-23T02:18:45.2623388Z [ OK ] Simplify.SimplifyConstantComparisons (0 ms) 2022-11-23T02:18:45.2624055Z [ RUN ] Simplify.SimplifySymbolicComparisons 2022-11-23T02:18:45.2631534Z [ OK ] Simplify.SimplifySymbolicComparisons (0 ms) 2022-11-23T02:18:45.2632156Z [ RUN ] Simplify.SimplifyEliminateZeroLengthFor 2022-11-23T02:18:45.2633000Z [ OK ] Simplify.SimplifyEliminateZeroLengthFor (0 ms) 2022-11-23T02:18:45.2633471Z [ RUN ] Simplify.SimplifyOneLoopFor 2022-11-23T02:18:45.2634407Z [ OK ] Simplify.SimplifyOneLoopFor (0 ms) 2022-11-23T02:18:45.2634819Z [ RUN ] Simplify.SimplifyForWontLoseLoopOptions 2022-11-23T02:18:45.2635192Z [ OK ] Simplify.SimplifyForWontLoseLoopOptions (0 ms) 2022-11-23T02:18:45.2635647Z [ RUN ] Simplify.SimplifyMultilevelFor 2022-11-23T02:18:45.2636086Z [ OK ] Simplify.SimplifyMultilevelFor (0 ms) 2022-11-23T02:18:45.2636474Z [ RUN ] Simplify.SimplifyForCleansUp 2022-11-23T02:18:45.2639680Z [ OK ] Simplify.SimplifyForCleansUp (0 ms) 2022-11-23T02:18:45.2640053Z [ RUN ] Simplify.SimplifyEliminateEmptyFor 2022-11-23T02:18:45.2641822Z [ OK ] Simplify.SimplifyEliminateEmptyFor (0 ms) 2022-11-23T02:18:45.2642395Z [ RUN ] Simplify.SimplifyFlattenBlock 2022-11-23T02:18:45.2642985Z [ OK ] Simplify.SimplifyFlattenBlock (0 ms) 2022-11-23T02:18:45.2643512Z [ RUN ] Simplify.SimplifyEliminateZeroLengthAlloc 2022-11-23T02:18:45.2644249Z [ OK ] Simplify.SimplifyEliminateZeroLengthAlloc (0 ms) 2022-11-23T02:18:45.2644818Z [ RUN ] Simplify.DontSimplifyRand 2022-11-23T02:18:45.2645124Z [ OK ] Simplify.DontSimplifyRand (0 ms) 2022-11-23T02:18:45.2645439Z [ RUN ] Simplify.SimplifyReorderForCond 2022-11-23T02:18:45.2650048Z [ OK ] Simplify.SimplifyReorderForCond (0 ms) 2022-11-23T02:18:45.2650383Z [ RUN ] Simplify.SimplifyFuseConditions 2022-11-23T02:18:45.2656608Z [ OK ] Simplify.SimplifyFuseConditions (0 ms) 2022-11-23T02:18:45.2657015Z [ RUN ] Simplify.SimplifySyncThreads 2022-11-23T02:18:45.2657515Z [ OK ] Simplify.SimplifySyncThreads (0 ms) 2022-11-23T02:18:45.2658052Z [ RUN ] Simplify.SimplifyRampSubBroadcast 2022-11-23T02:18:45.2658482Z [ OK ] Simplify.SimplifyRampSubBroadcast (0 ms) 2022-11-23T02:18:45.2659080Z [ RUN ] Simplify.SimplifyBroadcastTermExpander 2022-11-23T02:18:45.2659473Z [ OK ] Simplify.SimplifyBroadcastTermExpander (0 ms) 2022-11-23T02:18:45.2672570Z [ RUN ] Simplify.CompareSelectLoopBounds 2022-11-23T02:18:45.2762960Z [ OK ] Simplify.CompareSelectLoopBounds (10 ms) 2022-11-23T02:18:45.2763456Z [ RUN ] Simplify.CompareSelectCondAlwaysInLoopBounds 2022-11-23T02:18:45.2763967Z [ OK ] Simplify.CompareSelectCondAlwaysInLoopBounds (0 ms) 2022-11-23T02:18:45.2764561Z [ RUN ] Simplify.IfThenCondAlwaysInLoopBounds 2022-11-23T02:18:45.2765229Z [ OK ] Simplify.IfThenCondAlwaysInLoopBounds (0 ms) 2022-11-23T02:18:45.2765634Z [ RUN ] Simplify.MultiClauseCondAlwaysInLoopBounds 2022-11-23T02:18:45.2768157Z [ OK ] Simplify.MultiClauseCondAlwaysInLoopBounds (0 ms) 2022-11-23T02:18:45.2768705Z [----------] 92 tests from Simplify (39 ms total) 2022-11-23T02:18:45.2768864Z 2022-11-23T02:18:45.2769004Z [----------] 12 tests from TEFuserPass 2022-11-23T02:18:45.2769288Z [ RUN ] TEFuserPass.FuserPass_1 2022-11-23T02:18:45.2775524Z [ OK ] TEFuserPass.FuserPass_1 (0 ms) 2022-11-23T02:18:45.2775826Z [ RUN ] TEFuserPass.FuserPass_2 2022-11-23T02:18:45.2779734Z [ OK ] TEFuserPass.FuserPass_2 (0 ms) 2022-11-23T02:18:45.2780045Z [ RUN ] TEFuserPass.FuserPass_3 2022-11-23T02:18:45.2782889Z [ OK ] TEFuserPass.FuserPass_3 (0 ms) 2022-11-23T02:18:45.2783308Z [ RUN ] TEFuserPass.FuserPass_0DimInput 2022-11-23T02:18:45.2785869Z [ OK ] TEFuserPass.FuserPass_0DimInput (0 ms) 2022-11-23T02:18:45.2786294Z [ RUN ] TEFuserPass.FuserPass_UnfusibleDevice 2022-11-23T02:18:45.2786850Z [ OK ] TEFuserPass.FuserPass_UnfusibleDevice (0 ms) 2022-11-23T02:18:45.2787301Z [ RUN ] TEFuserPass.FuserPass_UnknownShapes 2022-11-23T02:18:45.2787925Z [ OK ] TEFuserPass.FuserPass_UnknownShapes (0 ms) 2022-11-23T02:18:45.2788247Z [ RUN ] TEFuserPass.FuserPass_Multidevice 2022-11-23T02:18:45.2796279Z [ OK ] TEFuserPass.FuserPass_Multidevice (0 ms) 2022-11-23T02:18:45.2796605Z [ RUN ] TEFuserPass.FuserPass_MergeGroups 2022-11-23T02:18:45.2799069Z [ OK ] TEFuserPass.FuserPass_MergeGroups (0 ms) 2022-11-23T02:18:45.2799423Z [ RUN ] TEFuserPass.FuserPass_IgnoreUnknownShapeAtStart 2022-11-23T02:18:45.2800500Z [ OK ] TEFuserPass.FuserPass_IgnoreUnknownShapeAtStart (0 ms) 2022-11-23T02:18:45.2800889Z [ RUN ] TEFuserPass.FuserPass_Where 2022-11-23T02:18:45.2803352Z [ OK ] TEFuserPass.FuserPass_Where (0 ms) 2022-11-23T02:18:45.2803733Z [ RUN ] TEFuserPass.FuserPass_WhereList 2022-11-23T02:18:45.2804833Z [ OK ] TEFuserPass.FuserPass_WhereList (0 ms) 2022-11-23T02:18:45.2805199Z [ RUN ] TEFuserPass.DynamicShapeFusion 2022-11-23T02:18:45.5459428Z [ OK ] TEFuserPass.DynamicShapeFusion (265 ms) 2022-11-23T02:18:45.5460056Z [----------] 12 tests from TEFuserPass (268 ms total) 2022-11-23T02:18:45.5460305Z 2022-11-23T02:18:45.5460564Z [----------] 3 tests from Type 2022-11-23T02:18:45.5460968Z [ RUN ] Type.Test01 2022-11-23T02:18:45.5461385Z [ OK ] Type.Test01 (0 ms) 2022-11-23T02:18:45.5461821Z [ RUN ] Type.BitCasting 2022-11-23T02:18:45.5462311Z [ OK ] Type.BitCasting (0 ms) 2022-11-23T02:18:45.5462759Z [ RUN ] Type.Propagation 2022-11-23T02:18:45.5463230Z [ OK ] Type.Propagation (0 ms) 2022-11-23T02:18:45.5463658Z [----------] 3 tests from Type (0 ms total) 2022-11-23T02:18:45.5463854Z 2022-11-23T02:18:45.5464129Z [----------] 1 test from SpecializationsInCustomPasses 2022-11-23T02:18:45.5464670Z [ RUN ] SpecializationsInCustomPasses.Basic 2022-11-23T02:18:45.5479204Z [ OK ] SpecializationsInCustomPasses.Basic (1 ms) 2022-11-23T02:18:45.5479653Z [----------] 1 test from SpecializationsInCustomPasses (2 ms total) 2022-11-23T02:18:45.5479851Z 2022-11-23T02:18:45.5479986Z [----------] 150 tests from LLVM 2022-11-23T02:18:45.5480249Z [ RUN ] LLVM.ByteImmTest 2022-11-23T02:18:45.5675814Z [ OK ] LLVM.ByteImmTest (19 ms) 2022-11-23T02:18:45.5676301Z [ RUN ] LLVM.CharImmTest 2022-11-23T02:18:45.5853835Z [ OK ] LLVM.CharImmTest (17 ms) 2022-11-23T02:18:45.6033757Z [ RUN ] LLVM.ShortImmTest 2022-11-23T02:18:45.6034296Z [ OK ] LLVM.ShortImmTest (17 ms) 2022-11-23T02:18:45.6034756Z [ RUN ] LLVM.IntImmTest 2022-11-23T02:18:45.6212728Z [ OK ] LLVM.IntImmTest (17 ms) 2022-11-23T02:18:45.6213557Z [ RUN ] LLVM.LongImmTest 2022-11-23T02:18:45.6392125Z [ OK ] LLVM.LongImmTest (17 ms) 2022-11-23T02:18:45.6392633Z [ RUN ] LLVM.FloatImmTest 2022-11-23T02:18:45.6571509Z [ OK ] LLVM.FloatImmTest (17 ms) 2022-11-23T02:18:45.6572048Z [ RUN ] LLVM.DoubleImmTest 2022-11-23T02:18:45.6753449Z [ OK ] LLVM.DoubleImmTest (18 ms) 2022-11-23T02:18:45.6753993Z [ RUN ] LLVM.HalfImmTest 2022-11-23T02:18:45.6937794Z [ OK ] LLVM.HalfImmTest (18 ms) 2022-11-23T02:18:45.6938303Z [ RUN ] LLVM.ByteAddTest 2022-11-23T02:18:45.7116648Z [ OK ] LLVM.ByteAddTest (17 ms) 2022-11-23T02:18:45.7117132Z [ RUN ] LLVM.CharAddTest 2022-11-23T02:18:45.7294363Z [ OK ] LLVM.CharAddTest (17 ms) 2022-11-23T02:18:45.7294883Z [ RUN ] LLVM.ShortAddTest 2022-11-23T02:18:45.7474136Z [ OK ] LLVM.ShortAddTest (17 ms) 2022-11-23T02:18:45.7474687Z [ RUN ] LLVM.IntAddTest 2022-11-23T02:18:45.7652234Z [ OK ] LLVM.IntAddTest (17 ms) 2022-11-23T02:18:45.7652744Z [ RUN ] LLVM.LongAddTest 2022-11-23T02:18:45.7832284Z [ OK ] LLVM.LongAddTest (17 ms) 2022-11-23T02:18:45.7832807Z [ RUN ] LLVM.FloatAddTest 2022-11-23T02:18:45.8014070Z [ OK ] LLVM.FloatAddTest (18 ms) 2022-11-23T02:18:45.8014587Z [ RUN ] LLVM.DoubleAddTest 2022-11-23T02:18:45.8195532Z [ OK ] LLVM.DoubleAddTest (18 ms) 2022-11-23T02:18:45.8196063Z [ RUN ] LLVM.HalfAddTest 2022-11-23T02:18:45.8375735Z [ OK ] LLVM.HalfAddTest (18 ms) 2022-11-23T02:18:45.8376244Z [ RUN ] LLVM.ByteSubTest 2022-11-23T02:18:45.8559274Z [ OK ] LLVM.ByteSubTest (18 ms) 2022-11-23T02:18:45.8559779Z [ RUN ] LLVM.CharSubTest 2022-11-23T02:18:45.8748768Z [ OK ] LLVM.CharSubTest (18 ms) 2022-11-23T02:18:45.8749412Z [ RUN ] LLVM.ShortSubTest 2022-11-23T02:18:45.8934158Z [ OK ] LLVM.ShortSubTest (18 ms) 2022-11-23T02:18:45.8934677Z [ RUN ] LLVM.IntSubTest 2022-11-23T02:18:45.9117255Z [ OK ] LLVM.IntSubTest (18 ms) 2022-11-23T02:18:45.9117767Z [ RUN ] LLVM.LongSubTest 2022-11-23T02:18:45.9298220Z [ OK ] LLVM.LongSubTest (18 ms) 2022-11-23T02:18:45.9299010Z [ RUN ] LLVM.FloatSubTest 2022-11-23T02:18:45.9478520Z [ OK ] LLVM.FloatSubTest (18 ms) 2022-11-23T02:18:45.9479004Z [ RUN ] LLVM.DoubleSubTest 2022-11-23T02:18:45.9655695Z [ OK ] LLVM.DoubleSubTest (17 ms) 2022-11-23T02:18:45.9832289Z [ RUN ] LLVM.HalfSubTest 2022-11-23T02:18:45.9832815Z [ OK ] LLVM.HalfSubTest (17 ms) 2022-11-23T02:18:45.9833109Z [ RUN ] LLVM.ByteMulTest 2022-11-23T02:18:46.0006705Z [ OK ] LLVM.ByteMulTest (17 ms) 2022-11-23T02:18:46.0007227Z [ RUN ] LLVM.CharMulTest 2022-11-23T02:18:46.0181181Z [ OK ] LLVM.CharMulTest (17 ms) 2022-11-23T02:18:46.0181677Z [ RUN ] LLVM.ShortMulTest 2022-11-23T02:18:46.0355712Z [ OK ] LLVM.ShortMulTest (17 ms) 2022-11-23T02:18:46.0356201Z [ RUN ] LLVM.IntMulTest 2022-11-23T02:18:46.0530230Z [ OK ] LLVM.IntMulTest (17 ms) 2022-11-23T02:18:46.0530695Z [ RUN ] LLVM.LongMulTest 2022-11-23T02:18:46.0706746Z [ OK ] LLVM.LongMulTest (17 ms) 2022-11-23T02:18:46.0707239Z [ RUN ] LLVM.FloatMulTest 2022-11-23T02:18:46.0882124Z [ OK ] LLVM.FloatMulTest (17 ms) 2022-11-23T02:18:46.0882612Z [ RUN ] LLVM.DoubleMulTest 2022-11-23T02:18:46.1058566Z [ OK ] LLVM.DoubleMulTest (17 ms) 2022-11-23T02:18:46.1059219Z [ RUN ] LLVM.HalfMulTest 2022-11-23T02:18:46.1234268Z [ OK ] LLVM.HalfMulTest (17 ms) 2022-11-23T02:18:46.1234794Z [ RUN ] LLVM.ByteDivTest 2022-11-23T02:18:46.1408497Z [ OK ] LLVM.ByteDivTest (17 ms) 2022-11-23T02:18:46.1408989Z [ RUN ] LLVM.CharDivTest 2022-11-23T02:18:46.1583523Z [ OK ] LLVM.CharDivTest (17 ms) 2022-11-23T02:18:46.1583805Z [ RUN ] LLVM.ShortDivTest 2022-11-23T02:18:46.1758991Z [ OK ] LLVM.ShortDivTest (17 ms) 2022-11-23T02:18:46.1759258Z [ RUN ] LLVM.IntDivTest 2022-11-23T02:18:46.1935286Z [ OK ] LLVM.IntDivTest (17 ms) 2022-11-23T02:18:46.1935696Z [ RUN ] LLVM.LongDivTest 2022-11-23T02:18:46.2110252Z [ OK ] LLVM.LongDivTest (17 ms) 2022-11-23T02:18:46.2110744Z [ RUN ] LLVM.FloatDivTest 2022-11-23T02:18:46.2287235Z [ OK ] LLVM.FloatDivTest (17 ms) 2022-11-23T02:18:46.2287648Z [ RUN ] LLVM.DoubleDivTest 2022-11-23T02:18:46.2465848Z [ OK ] LLVM.DoubleDivTest (17 ms) 2022-11-23T02:18:46.2466144Z [ RUN ] LLVM.HalfDivTest 2022-11-23T02:18:46.2644053Z [ OK ] LLVM.HalfDivTest (17 ms) 2022-11-23T02:18:46.2644401Z [ RUN ] LLVM.IntToFloatCastTest 2022-11-23T02:18:46.2819298Z [ OK ] LLVM.IntToFloatCastTest (17 ms) 2022-11-23T02:18:46.2819667Z [ RUN ] LLVM.FloatToIntCastTest 2022-11-23T02:18:46.2994328Z [ OK ] LLVM.FloatToIntCastTest (17 ms) 2022-11-23T02:18:46.2994682Z [ RUN ] LLVM.IntToLongCastTest 2022-11-23T02:18:46.3170072Z [ OK ] LLVM.IntToLongCastTest (17 ms) 2022-11-23T02:18:46.3170656Z [ RUN ] LLVM.ByteToCharCastTest 2022-11-23T02:18:46.3344513Z [ OK ] LLVM.ByteToCharCastTest (17 ms) 2022-11-23T02:18:46.3345097Z [ RUN ] LLVM.HalfToLongCastTest 2022-11-23T02:18:46.3518624Z [ OK ] LLVM.HalfToLongCastTest (17 ms) 2022-11-23T02:18:46.3519192Z [ RUN ] LLVM.ByteToDoubleCastTest 2022-11-23T02:18:46.3694360Z [ OK ] LLVM.ByteToDoubleCastTest (17 ms) 2022-11-23T02:18:46.3694942Z [ RUN ] LLVM.FloatToByteCastTest 2022-11-23T02:18:46.3868917Z [ OK ] LLVM.FloatToByteCastTest (17 ms) 2022-11-23T02:18:46.3869536Z [ RUN ] LLVM.FloatToCharCastTest 2022-11-23T02:18:46.4043497Z [ OK ] LLVM.FloatToCharCastTest (17 ms) 2022-11-23T02:18:46.4043830Z [ RUN ] LLVM.ByteToFloatCastTest 2022-11-23T02:18:46.4218725Z [ OK ] LLVM.ByteToFloatCastTest (17 ms) 2022-11-23T02:18:46.4219259Z [ RUN ] LLVM.CharToFloatCastTest 2022-11-23T02:18:46.4393746Z [ OK ] LLVM.CharToFloatCastTest (17 ms) 2022-11-23T02:18:46.4394101Z [ RUN ] LLVM.BitCast 2022-11-23T02:18:46.5091034Z [ OK ] LLVM.BitCast (69 ms) 2022-11-23T02:18:46.5091352Z [ RUN ] LLVM.fastLogFloat 2022-11-23T02:18:46.5679354Z [ OK ] LLVM.fastLogFloat (58 ms) 2022-11-23T02:18:46.5679677Z [ RUN ] LLVM.LetTest01 2022-11-23T02:18:46.5857135Z [ OK ] LLVM.LetTest01 (17 ms) 2022-11-23T02:18:46.5857460Z [ RUN ] LLVM.LetTest02 2022-11-23T02:18:46.6034982Z [ OK ] LLVM.LetTest02 (17 ms) 2022-11-23T02:18:46.6035368Z [ RUN ] LLVM.LetTestMultitype 2022-11-23T02:18:46.6214741Z [ OK ] LLVM.LetTestMultitype (17 ms) 2022-11-23T02:18:46.6215085Z [ RUN ] LLVM.BufferTest 2022-11-23T02:18:46.6392272Z [ OK ] LLVM.BufferTest (17 ms) 2022-11-23T02:18:46.6392590Z [ RUN ] LLVM.BlockTest 2022-11-23T02:18:46.6570328Z [ OK ] LLVM.BlockTest (17 ms) 2022-11-23T02:18:46.6570661Z [ RUN ] LLVM.LoadStoreTest 2022-11-23T02:18:46.6747817Z [ OK ] LLVM.LoadStoreTest (17 ms) 2022-11-23T02:18:46.6748151Z [ RUN ] LLVM.IfThenElseTest 2022-11-23T02:18:46.6939767Z [ OK ] LLVM.IfThenElseTest (19 ms) 2022-11-23T02:18:46.6940402Z [ RUN ] LLVM.CondNoFalseBlockTest 2022-11-23T02:18:46.7496159Z [ OK ] LLVM.CondNoFalseBlockTest (55 ms) 2022-11-23T02:18:46.7496655Z [ RUN ] LLVM.CondTest 2022-11-23T02:18:46.8063187Z [ OK ] LLVM.CondTest (56 ms) 2022-11-23T02:18:46.8063657Z [ RUN ] LLVM.CondNestedTest 2022-11-23T02:18:46.8861291Z [ OK ] LLVM.CondNestedTest (79 ms) 2022-11-23T02:18:46.8861841Z [ RUN ] LLVM.DirectVectorization 2022-11-23T02:18:46.9111687Z [ OK ] LLVM.DirectVectorization (24 ms) 2022-11-23T02:18:46.9112390Z [ RUN ] LLVM.VecLoadStoreTest 2022-11-23T02:18:46.9291628Z [ OK ] LLVM.VecLoadStoreTest (17 ms) 2022-11-23T02:18:46.9292165Z [ RUN ] LLVM.VecFloat_erfLane4Test 2022-11-23T02:18:46.9478032Z [ OK ] LLVM.VecFloat_erfLane4Test (18 ms) 2022-11-23T02:18:46.9478368Z [ RUN ] LLVM.VecFloat_erfcLane4Test 2022-11-23T02:18:46.9664085Z [ OK ] LLVM.VecFloat_erfcLane4Test (18 ms) 2022-11-23T02:18:46.9664430Z [ RUN ] LLVM.VecFloat_acosLane4Test 2022-11-23T02:18:46.9848000Z [ OK ] LLVM.VecFloat_acosLane4Test (18 ms) 2022-11-23T02:18:46.9848322Z [ RUN ] LLVM.VecFloat_asinLane4Test 2022-11-23T02:18:47.0034510Z [ OK ] LLVM.VecFloat_asinLane4Test (18 ms) 2022-11-23T02:18:47.0034864Z [ RUN ] LLVM.VecFloat_atanLane4Test 2022-11-23T02:18:47.0219371Z [ OK ] LLVM.VecFloat_atanLane4Test (18 ms) 2022-11-23T02:18:47.0219692Z [ RUN ] LLVM.VecFloat_coshLane4Test 2022-11-23T02:18:47.0404889Z [ OK ] LLVM.VecFloat_coshLane4Test (18 ms) 2022-11-23T02:18:47.0405176Z [ RUN ] LLVM.VecFloat_sinhLane4Test 2022-11-23T02:18:47.0588447Z [ OK ] LLVM.VecFloat_sinhLane4Test (18 ms) 2022-11-23T02:18:47.0588745Z [ RUN ] LLVM.VecFloat_tanhLane4Test 2022-11-23T02:18:47.0774155Z [ OK ] LLVM.VecFloat_tanhLane4Test (18 ms) 2022-11-23T02:18:47.0774462Z [ RUN ] LLVM.VecFloat_expm1Lane4Test 2022-11-23T02:18:47.0959525Z [ OK ] LLVM.VecFloat_expm1Lane4Test (18 ms) 2022-11-23T02:18:47.0959869Z [ RUN ] LLVM.VecFloat_lgammaLane4Test 2022-11-23T02:18:47.1145485Z [ OK ] LLVM.VecFloat_lgammaLane4Test (18 ms) 2022-11-23T02:18:47.1145856Z [ RUN ] LLVM.VecFloat_erfLane8Test 2022-11-23T02:18:47.1330692Z [ OK ] LLVM.VecFloat_erfLane8Test (18 ms) 2022-11-23T02:18:47.1331076Z [ RUN ] LLVM.VecFloat_erfcLane8Test 2022-11-23T02:18:47.1514225Z [ OK ] LLVM.VecFloat_erfcLane8Test (18 ms) 2022-11-23T02:18:47.1514597Z [ RUN ] LLVM.VecFloat_acosLane8Test 2022-11-23T02:18:47.1700150Z [ OK ] LLVM.VecFloat_acosLane8Test (18 ms) 2022-11-23T02:18:47.1700541Z [ RUN ] LLVM.VecFloat_asinLane8Test 2022-11-23T02:18:47.1885740Z [ OK ] LLVM.VecFloat_asinLane8Test (18 ms) 2022-11-23T02:18:47.1886142Z [ RUN ] LLVM.VecFloat_atanLane8Test 2022-11-23T02:18:47.2071043Z [ OK ] LLVM.VecFloat_atanLane8Test (18 ms) 2022-11-23T02:18:47.2071361Z [ RUN ] LLVM.VecFloat_coshLane8Test 2022-11-23T02:18:47.2257356Z [ OK ] LLVM.VecFloat_coshLane8Test (18 ms) 2022-11-23T02:18:47.2257694Z [ RUN ] LLVM.VecFloat_sinhLane8Test 2022-11-23T02:18:47.2443197Z [ OK ] LLVM.VecFloat_sinhLane8Test (18 ms) 2022-11-23T02:18:47.2443521Z [ RUN ] LLVM.VecFloat_tanhLane8Test 2022-11-23T02:18:47.2630475Z [ OK ] LLVM.VecFloat_tanhLane8Test (18 ms) 2022-11-23T02:18:47.2630808Z [ RUN ] LLVM.VecFloat_expm1Lane8Test 2022-11-23T02:18:47.2818459Z [ OK ] LLVM.VecFloat_expm1Lane8Test (18 ms) 2022-11-23T02:18:47.2819010Z [ RUN ] LLVM.VecFloat_lgammaLane8Test 2022-11-23T02:18:47.3002627Z [ OK ] LLVM.VecFloat_lgammaLane8Test (18 ms) 2022-11-23T02:18:47.3003159Z [ RUN ] LLVM.VecDouble_erfLane2Test 2022-11-23T02:18:47.3203063Z [ OK ] LLVM.VecDouble_erfLane2Test (20 ms) 2022-11-23T02:18:47.3203384Z [ RUN ] LLVM.VecDouble_erfcLane2Test 2022-11-23T02:18:47.3387469Z [ OK ] LLVM.VecDouble_erfcLane2Test (18 ms) 2022-11-23T02:18:47.3387827Z [ RUN ] LLVM.VecDouble_acosLane2Test 2022-11-23T02:18:47.3570555Z [ OK ] LLVM.VecDouble_acosLane2Test (18 ms) 2022-11-23T02:18:47.3571018Z [ RUN ] LLVM.VecDouble_asinLane2Test 2022-11-23T02:18:47.3754038Z [ OK ] LLVM.VecDouble_asinLane2Test (18 ms) 2022-11-23T02:18:47.3754438Z [ RUN ] LLVM.VecDouble_atanLane2Test 2022-11-23T02:18:47.3937716Z [ OK ] LLVM.VecDouble_atanLane2Test (18 ms) 2022-11-23T02:18:47.3938137Z [ RUN ] LLVM.VecDouble_coshLane2Test 2022-11-23T02:18:47.4121228Z [ OK ] LLVM.VecDouble_coshLane2Test (18 ms) 2022-11-23T02:18:47.4121587Z [ RUN ] LLVM.VecDouble_sinhLane2Test 2022-11-23T02:18:47.4302632Z [ OK ] LLVM.VecDouble_sinhLane2Test (18 ms) 2022-11-23T02:18:47.4302948Z [ RUN ] LLVM.VecDouble_tanhLane2Test 2022-11-23T02:18:47.4486383Z [ OK ] LLVM.VecDouble_tanhLane2Test (18 ms) 2022-11-23T02:18:47.4486881Z [ RUN ] LLVM.VecDouble_expm1Lane2Test 2022-11-23T02:18:47.4669861Z [ OK ] LLVM.VecDouble_expm1Lane2Test (18 ms) 2022-11-23T02:18:47.4670380Z [ RUN ] LLVM.VecDouble_lgammaLane2Test 2022-11-23T02:18:47.4853314Z [ OK ] LLVM.VecDouble_lgammaLane2Test (18 ms) 2022-11-23T02:18:47.4853722Z [ RUN ] LLVM.VecDouble_erfLane4Test 2022-11-23T02:18:47.5036262Z [ OK ] LLVM.VecDouble_erfLane4Test (18 ms) 2022-11-23T02:18:47.5036592Z [ RUN ] LLVM.VecDouble_erfcLane4Test 2022-11-23T02:18:47.5220528Z [ OK ] LLVM.VecDouble_erfcLane4Test (18 ms) 2022-11-23T02:18:47.5220844Z [ RUN ] LLVM.VecDouble_acosLane4Test 2022-11-23T02:18:47.5406230Z [ OK ] LLVM.VecDouble_acosLane4Test (18 ms) 2022-11-23T02:18:47.5406798Z [ RUN ] LLVM.VecDouble_asinLane4Test 2022-11-23T02:18:47.5591283Z [ OK ] LLVM.VecDouble_asinLane4Test (18 ms) 2022-11-23T02:18:47.5591822Z [ RUN ] LLVM.VecDouble_atanLane4Test 2022-11-23T02:18:47.5775009Z [ OK ] LLVM.VecDouble_atanLane4Test (18 ms) 2022-11-23T02:18:47.5775567Z [ RUN ] LLVM.VecDouble_coshLane4Test 2022-11-23T02:18:47.5959236Z [ OK ] LLVM.VecDouble_coshLane4Test (18 ms) 2022-11-23T02:18:47.5959861Z [ RUN ] LLVM.VecDouble_sinhLane4Test 2022-11-23T02:18:47.6144018Z [ OK ] LLVM.VecDouble_sinhLane4Test (18 ms) 2022-11-23T02:18:47.6144578Z [ RUN ] LLVM.VecDouble_tanhLane4Test 2022-11-23T02:18:47.6327725Z [ OK ] LLVM.VecDouble_tanhLane4Test (18 ms) 2022-11-23T02:18:47.6328291Z [ RUN ] LLVM.VecDouble_expm1Lane4Test 2022-11-23T02:18:47.6510464Z [ OK ] LLVM.VecDouble_expm1Lane4Test (18 ms) 2022-11-23T02:18:47.6511033Z [ RUN ] LLVM.VecDouble_lgammaLane4Test 2022-11-23T02:18:47.6694254Z [ OK ] LLVM.VecDouble_lgammaLane4Test (18 ms) 2022-11-23T02:18:47.6694911Z [ RUN ] LLVM.VectorizerLoadStoreTest 2022-11-23T02:18:47.6876305Z [ OK ] LLVM.VectorizerLoadStoreTest (18 ms) 2022-11-23T02:18:47.6876680Z [ RUN ] LLVM.VectorizeBitCast 2022-11-23T02:18:47.7076797Z [ OK ] LLVM.VectorizeBitCast (20 ms) 2022-11-23T02:18:47.7077374Z [ RUN ] LLVM.MemcpyTest 2022-11-23T02:18:47.7272109Z [ OK ] LLVM.MemcpyTest (19 ms) 2022-11-23T02:18:47.7272660Z [ RUN ] LLVM.BzeroTest 2022-11-23T02:18:47.7462848Z [ OK ] LLVM.BzeroTest (19 ms) 2022-11-23T02:18:47.7463320Z [ RUN ] LLVM.ElemwiseAdd 2022-11-23T02:18:47.7950875Z [ OK ] LLVM.ElemwiseAdd (48 ms) 2022-11-23T02:18:47.7951478Z [ RUN ] LLVM.ElemwiseAddFloat 2022-11-23T02:18:47.8423229Z [ OK ] LLVM.ElemwiseAddFloat (47 ms) 2022-11-23T02:18:47.8423895Z [ RUN ] LLVM.ElemwiseLog10Float 2022-11-23T02:18:47.8645350Z [ OK ] LLVM.ElemwiseLog10Float (22 ms) 2022-11-23T02:18:47.8645917Z [ RUN ] LLVM.ElemwiseLog1pFloat 2022-11-23T02:18:47.8866930Z [ OK ] LLVM.ElemwiseLog1pFloat (22 ms) 2022-11-23T02:18:47.8867782Z [ RUN ] LLVM.ElemwiseMaxInt 2022-11-23T02:18:47.9183231Z [ OK ] LLVM.ElemwiseMaxInt (31 ms) 2022-11-23T02:18:47.9183832Z [ RUN ] LLVM.ElemwiseMinInt 2022-11-23T02:18:47.9498483Z [ OK ] LLVM.ElemwiseMinInt (31 ms) 2022-11-23T02:18:47.9499357Z [ RUN ] LLVM.ElemwiseMaxFloat 2022-11-23T02:18:47.9777559Z [ OK ] LLVM.ElemwiseMaxFloat (27 ms) 2022-11-23T02:18:47.9778202Z [ RUN ] LLVM.ElemwiseMaxNaNFloat 2022-11-23T02:18:48.0055536Z [ OK ] LLVM.ElemwiseMaxNaNFloat (27 ms) 2022-11-23T02:18:48.0056170Z [ RUN ] LLVM.ElemwiseMinFloat 2022-11-23T02:18:48.0334372Z [ OK ] LLVM.ElemwiseMinFloat (27 ms) 2022-11-23T02:18:48.0334997Z [ RUN ] LLVM.ElemwiseMinNaNFloat 2022-11-23T02:18:48.0614149Z [ OK ] LLVM.ElemwiseMinNaNFloat (27 ms) 2022-11-23T02:18:48.0614737Z [ RUN ] LLVM.ElemwiseMod 2022-11-23T02:18:48.0878194Z [ OK ] LLVM.ElemwiseMod (26 ms) 2022-11-23T02:18:48.0878776Z [ RUN ] LLVM.CompareSelectIntEQ 2022-11-23T02:18:48.1203963Z [ OK ] LLVM.CompareSelectIntEQ (32 ms) 2022-11-23T02:18:48.1204597Z [ RUN ] LLVM.CompareSelectFloatEQ 2022-11-23T02:18:48.1526910Z [ OK ] LLVM.CompareSelectFloatEQ (32 ms) 2022-11-23T02:18:48.1527577Z [ RUN ] LLVM.CompareSelectByteGT 2022-11-23T02:18:48.1853554Z [ OK ] LLVM.CompareSelectByteGT (32 ms) 2022-11-23T02:18:48.1854205Z [ RUN ] LLVM.CompareSelectByteGE 2022-11-23T02:18:48.2179905Z [ OK ] LLVM.CompareSelectByteGE (32 ms) 2022-11-23T02:18:48.2180238Z [ RUN ] LLVM.CompareSelectByteLT 2022-11-23T02:18:48.2502643Z [ OK ] LLVM.CompareSelectByteLT (32 ms) 2022-11-23T02:18:48.2502962Z [ RUN ] LLVM.CompareSelectByteLE 2022-11-23T02:18:48.2823401Z [ OK ] LLVM.CompareSelectByteLE (32 ms) 2022-11-23T02:18:48.2823750Z [ RUN ] LLVM.StoreFloat 2022-11-23T02:18:48.3001796Z [ OK ] LLVM.StoreFloat (17 ms) 2022-11-23T02:18:48.3002075Z [ RUN ] LLVM.SimpleMath01 2022-11-23T02:18:48.3366894Z [ OK ] LLVM.SimpleMath01 (36 ms) 2022-11-23T02:18:48.3367395Z [ RUN ] LLVM.ComputeMul 2022-11-23T02:18:48.3834253Z [ OK ] LLVM.ComputeMul (46 ms) 2022-11-23T02:18:48.3834772Z [ RUN ] LLVM.BroadcastAdd 2022-11-23T02:18:48.4933373Z [ OK ] LLVM.BroadcastAdd (109 ms) 2022-11-23T02:18:48.4933748Z [ RUN ] LLVM.BitwiseOps 2022-11-23T02:18:48.5112116Z [ OK ] LLVM.BitwiseOps (17 ms) 2022-11-23T02:18:48.5112446Z [ RUN ] LLVM.ArithmeticRightShift 2022-11-23T02:18:48.5287413Z [ OK ] LLVM.ArithmeticRightShift (17 ms) 2022-11-23T02:18:48.5287745Z [ RUN ] LLVM.LogicalRightShift 2022-11-23T02:18:48.5461652Z [ OK ] LLVM.LogicalRightShift (17 ms) 2022-11-23T02:18:48.5461997Z [ RUN ] LLVM.DynamicShapeAdd 2022-11-23T02:18:48.6743292Z [ OK ] LLVM.DynamicShapeAdd (128 ms) 2022-11-23T02:18:48.6743625Z [ RUN ] LLVM.BindDynamicShapeAdd 2022-11-23T02:18:48.8018472Z [ OK ] LLVM.BindDynamicShapeAdd (127 ms) 2022-11-23T02:18:48.8019001Z [ RUN ] LLVM.TensorDynamicShapeAdd 2022-11-23T02:18:48.9303123Z [ OK ] LLVM.TensorDynamicShapeAdd (128 ms) 2022-11-23T02:18:48.9303481Z [ RUN ] LLVM.DynamicShape2D 2022-11-23T02:18:49.1453513Z [ OK ] LLVM.DynamicShape2D (215 ms) 2022-11-23T02:18:49.1453804Z [ RUN ] LLVM.EmptyStmt 2022-11-23T02:18:49.1623646Z [ OK ] LLVM.EmptyStmt (17 ms) 2022-11-23T02:18:49.1624173Z [ RUN ] LLVM.EliminatedStmt 2022-11-23T02:18:49.1796219Z [ OK ] LLVM.EliminatedStmt (17 ms) 2022-11-23T02:18:49.1796751Z [ RUN ] LLVM.SimpleReduction 2022-11-23T02:18:49.2616094Z [ OK ] LLVM.SimpleReduction (81 ms) 2022-11-23T02:18:49.2616535Z [ RUN ] LLVM.RFactorReduction 2022-11-23T02:18:49.2933232Z [ OK ] LLVM.RFactorReduction (31 ms) 2022-11-23T02:18:49.2933825Z [ RUN ] LLVM.RFactorVectorizedReduction 2022-11-23T02:18:49.3420547Z [ OK ] LLVM.RFactorVectorizedReduction (48 ms) 2022-11-23T02:18:49.3421118Z [ RUN ] LLVM.SimpleParallelSS 2022-11-23T02:18:49.3656616Z [ OK ] LLVM.SimpleParallelSS (23 ms) 2022-11-23T02:18:49.3656943Z [ RUN ] LLVM.SimpleParallelSP 2022-11-23T02:18:49.3911738Z [ OK ] LLVM.SimpleParallelSP (25 ms) 2022-11-23T02:18:49.3912032Z [ RUN ] LLVM.SimpleParallelPS 2022-11-23T02:18:49.4179729Z [ OK ] LLVM.SimpleParallelPS (26 ms) 2022-11-23T02:18:49.4180040Z [ RUN ] LLVM.SimpleParallelPP 2022-11-23T02:18:49.4443739Z [ OK ] LLVM.SimpleParallelPP (26 ms) 2022-11-23T02:18:49.4444075Z [ RUN ] LLVM.CompositeParallel 2022-11-23T02:18:52.4295236Z [ OK ] LLVM.CompositeParallel (2985 ms) 2022-11-23T02:18:52.4295566Z [ RUN ] LLVM.VectorizedGEMM 2022-11-23T02:18:52.5104164Z [ OK ] LLVM.VectorizedGEMM (80 ms) 2022-11-23T02:18:52.5104460Z [ RUN ] LLVM.CallRaw 2022-11-23T02:18:53.1750605Z [ OK ] LLVM.CallRaw (664 ms) 2022-11-23T02:18:53.1751041Z [ RUN ] LLVM.CustomTarget 2022-11-23T02:18:53.1978695Z [ OK ] LLVM.CustomTarget (22 ms) 2022-11-23T02:18:53.1979385Z [ RUN ] LLVM.CodeGenKernelFuncName 2022-11-23T02:18:53.2338733Z [ OK ] LLVM.CodeGenKernelFuncName (35 ms) 2022-11-23T02:18:53.2339523Z [----------] 150 tests from LLVM (7685 ms total) 2022-11-23T02:18:53.2339678Z 2022-11-23T02:18:53.2339865Z [----------] Global test environment tear-down 2022-11-23T02:18:53.2414642Z [==========] 801 tests from 25 test suites ran. (25409 ms total) 2022-11-23T02:18:53.2415196Z [ PASSED ] 801 tests. 2022-11-23T02:18:53.2415425Z 2022-11-23T02:18:53.2415605Z  YOU HAVE 5 DISABLED TESTS 2022-11-23T02:18:53.2415732Z 2022-11-23T02:18:53.3105871Z + [[ parallelnative-linux-focal-py3.7-gcc7 != *android* ]] 2022-11-23T02:18:53.3106318Z + [[ parallelnative-linux-focal-py3.7-gcc7 != *cuda* ]] 2022-11-23T02:18:53.3106714Z + [[ parallelnative-linux-focal-py3.7-gcc7 != *asan* ]] 2022-11-23T02:18:53.3107239Z + build/bin/static_runtime_test --gtest_output=xml:test/test-reports/cpp-unittest/test_libtorch/static_runtime_test.xml 2022-11-23T02:18:54.4876317Z Running main() from /var/lib/jenkins/workspace/third_party/googletest/googletest/src/gtest_main.cc 2022-11-23T02:18:54.4877215Z [==========] Running 463 tests from 12 test suites. 2022-11-23T02:18:54.4877548Z [----------] Global test environment set-up. 2022-11-23T02:18:54.4877859Z [----------] 430 tests from StaticRuntime 2022-11-23T02:18:54.4878168Z [ RUN ] StaticRuntime.UnaryOps 2022-11-23T02:18:54.6874461Z [ OK ] StaticRuntime.UnaryOps (199 ms) 2022-11-23T02:18:54.6874785Z [ RUN ] StaticRuntime.Max 2022-11-23T02:18:54.7663464Z [ OK ] StaticRuntime.Max (78 ms) 2022-11-23T02:18:54.7664050Z [ RUN ] StaticRuntime.Mean 2022-11-23T02:18:54.8293464Z [ OK ] StaticRuntime.Mean (62 ms) 2022-11-23T02:18:54.8293986Z [ RUN ] StaticRuntime.Sigmoid 2022-11-23T02:18:55.0191295Z [ OK ] StaticRuntime.Sigmoid (189 ms) 2022-11-23T02:18:55.0191910Z [ RUN ] StaticRuntime.Clone 2022-11-23T02:18:55.1634900Z [ OK ] StaticRuntime.Clone (144 ms) 2022-11-23T02:18:55.1635440Z [ RUN ] StaticRuntime.Clamp 2022-11-23T02:18:55.2328769Z [ OK ] StaticRuntime.Clamp (69 ms) 2022-11-23T02:18:55.2329314Z [ RUN ] StaticRuntime.ClampMinOnly 2022-11-23T02:18:55.2398966Z [ OK ] StaticRuntime.ClampMinOnly (7 ms) 2022-11-23T02:18:55.2399553Z [ RUN ] StaticRuntime.ClampMaxOnly 2022-11-23T02:18:55.2468248Z [ OK ] StaticRuntime.ClampMaxOnly (6 ms) 2022-11-23T02:18:55.2468604Z [ RUN ] StaticRuntime.ClampIntTensor 2022-11-23T02:18:55.2555423Z [ OK ] StaticRuntime.ClampIntTensor (8 ms) 2022-11-23T02:18:55.2555786Z [ RUN ] StaticRuntime.LenWithTuple 2022-11-23T02:18:55.2729661Z [ OK ] StaticRuntime.LenWithTuple (17 ms) 2022-11-23T02:18:55.2730226Z [ RUN ] StaticRuntime.LenWithTensor 2022-11-23T02:18:55.2745762Z [ OK ] StaticRuntime.LenWithTensor (1 ms) 2022-11-23T02:18:55.2746343Z [ RUN ] StaticRuntime.LenWithStr 2022-11-23T02:18:55.2757856Z [ OK ] StaticRuntime.LenWithStr (1 ms) 2022-11-23T02:18:55.2758395Z [ RUN ] StaticRuntime.LenWithDict_str 2022-11-23T02:18:55.2778224Z [ OK ] StaticRuntime.LenWithDict_str (1 ms) 2022-11-23T02:18:55.2779133Z [ RUN ] StaticRuntime.LenWithDict_int 2022-11-23T02:18:55.2798350Z [ OK ] StaticRuntime.LenWithDict_int (2 ms) 2022-11-23T02:18:55.2798913Z [ RUN ] StaticRuntime.LenWithDict_bool 2022-11-23T02:18:55.2818468Z [ OK ] StaticRuntime.LenWithDict_bool (1 ms) 2022-11-23T02:18:55.2819233Z [ RUN ] StaticRuntime.LenWithDict_float 2022-11-23T02:18:55.2839914Z [ OK ] StaticRuntime.LenWithDict_float (2 ms) 2022-11-23T02:18:55.2840538Z [ RUN ] StaticRuntime.LenWithDict_complex 2022-11-23T02:18:55.2861079Z [ OK ] StaticRuntime.LenWithDict_complex (2 ms) 2022-11-23T02:18:55.2861682Z [ RUN ] StaticRuntime.LenWithDict_Tensor 2022-11-23T02:18:55.2886453Z [ OK ] StaticRuntime.LenWithDict_Tensor (2 ms) 2022-11-23T02:18:55.2886787Z [ RUN ] StaticRuntime.Logit 2022-11-23T02:18:55.4949625Z [ OK ] StaticRuntime.Logit (206 ms) 2022-11-23T02:18:55.4950270Z [ RUN ] StaticRuntime.EmbeddingBag 2022-11-23T02:18:55.6123805Z [ OK ] StaticRuntime.EmbeddingBag (117 ms) 2022-11-23T02:18:55.6124630Z [ RUN ] StaticRuntime.EmbeddingBagWithManagedOutput 2022-11-23T02:18:55.6246100Z [ OK ] StaticRuntime.EmbeddingBagWithManagedOutput (12 ms) 2022-11-23T02:18:55.6247043Z [ RUN ] StaticRuntime.EmbeddingBagWithExtraneousOutput 2022-11-23T02:18:55.6580451Z [ OK ] StaticRuntime.EmbeddingBagWithExtraneousOutput (33 ms) 2022-11-23T02:18:55.6580857Z [ RUN ] StaticRuntime.LayerNorm 2022-11-23T02:18:55.7030695Z [ OK ] StaticRuntime.LayerNorm (45 ms) 2022-11-23T02:18:55.7031300Z [ RUN ] StaticRuntime.Bmm 2022-11-23T02:18:55.7442939Z [ OK ] StaticRuntime.Bmm (41 ms) 2022-11-23T02:18:55.7443551Z [ RUN ] StaticRuntime.Addmm 2022-11-23T02:18:55.7800430Z [ OK ] StaticRuntime.Addmm (35 ms) 2022-11-23T02:18:55.7800751Z [ RUN ] StaticRuntime.Abs 2022-11-23T02:18:55.7865153Z [ OK ] StaticRuntime.Abs (6 ms) 2022-11-23T02:18:55.7865431Z [ RUN ] StaticRuntime.Binary 2022-11-23T02:18:55.8207729Z [ OK ] StaticRuntime.Binary (34 ms) 2022-11-23T02:18:55.8208202Z [ RUN ] StaticRuntime.MatMul 2022-11-23T02:18:55.8497497Z [ OK ] StaticRuntime.MatMul (28 ms) 2022-11-23T02:18:55.8497864Z [ RUN ] StaticRuntime.Sign 2022-11-23T02:18:55.8573866Z [ OK ] StaticRuntime.Sign (7 ms) 2022-11-23T02:18:55.8574172Z [ RUN ] StaticRuntime.Div 2022-11-23T02:18:55.9971606Z [ OK ] StaticRuntime.Div (139 ms) 2022-11-23T02:18:56.0139247Z [ RUN ] StaticRuntime.Mul 2022-11-23T02:18:56.0139551Z [ OK ] StaticRuntime.Mul (16 ms) 2022-11-23T02:18:56.0139804Z [ RUN ] StaticRuntime.Log 2022-11-23T02:18:56.0229721Z [ OK ] StaticRuntime.Log (9 ms) 2022-11-23T02:18:56.0229997Z [ RUN ] StaticRuntime.Sub 2022-11-23T02:18:56.0528357Z [ OK ] StaticRuntime.Sub (29 ms) 2022-11-23T02:18:56.0528648Z [ RUN ] StaticRuntime.NanToNum 2022-11-23T02:18:56.0605312Z [ OK ] StaticRuntime.NanToNum (7 ms) 2022-11-23T02:18:56.0605610Z [ RUN ] StaticRuntime.Stack 2022-11-23T02:18:56.0931036Z [ OK ] StaticRuntime.Stack (32 ms) 2022-11-23T02:18:56.0931348Z [ RUN ] StaticRuntime.ReLU 2022-11-23T02:18:56.1643789Z [ OK ] StaticRuntime.ReLU (71 ms) 2022-11-23T02:18:56.1644125Z [ RUN ] StaticRuntime.Tanh 2022-11-23T02:18:56.2359591Z [ OK ] StaticRuntime.Tanh (71 ms) 2022-11-23T02:18:56.2359907Z [ RUN ] StaticRuntime.Norm 2022-11-23T02:18:56.2653612Z [ OK ] StaticRuntime.Norm (29 ms) 2022-11-23T02:18:56.2653980Z [ RUN ] StaticRuntime.Reshape 2022-11-23T02:18:56.5955494Z [ OK ] StaticRuntime.Reshape (330 ms) 2022-11-23T02:18:56.5955825Z [ RUN ] StaticRuntime.Repeat 2022-11-23T02:18:56.6071487Z [ OK ] StaticRuntime.Repeat (11 ms) 2022-11-23T02:18:56.6071809Z [ RUN ] StaticRuntime.Flatten 2022-11-23T02:18:56.6567805Z [ OK ] StaticRuntime.Flatten (49 ms) 2022-11-23T02:18:56.6568335Z [ RUN ] StaticRuntime.pow 2022-11-23T02:18:56.6822386Z [ OK ] StaticRuntime.pow (25 ms) 2022-11-23T02:18:56.6822881Z [ RUN ] StaticRuntime.to 2022-11-23T02:18:59.9693881Z [ OK ] StaticRuntime.to (3287 ms) 2022-11-23T02:18:59.9694235Z [ RUN ] StaticRuntime.ExpandAs 2022-11-23T02:18:59.9764090Z [ OK ] StaticRuntime.ExpandAs (7 ms) 2022-11-23T02:18:59.9764608Z [ RUN ] StaticRuntime.Full 2022-11-23T02:18:59.9867011Z [ OK ] StaticRuntime.Full (10 ms) 2022-11-23T02:18:59.9867548Z [ RUN ] StaticRuntime.FullLike 2022-11-23T02:18:59.9973582Z [ OK ] StaticRuntime.FullLike (10 ms) 2022-11-23T02:18:59.9974098Z [ RUN ] StaticRuntime.Ones 2022-11-23T02:19:00.0039146Z [ OK ] StaticRuntime.Ones (6 ms) 2022-11-23T02:19:00.0039657Z [ RUN ] StaticRuntime.OnesLike 2022-11-23T02:19:00.0145114Z [ OK ] StaticRuntime.OnesLike (10 ms) 2022-11-23T02:19:00.0145631Z [ RUN ] StaticRuntime.Zeros 2022-11-23T02:19:00.0263142Z [ OK ] StaticRuntime.Zeros (11 ms) 2022-11-23T02:19:00.0263670Z [ RUN ] StaticRuntime.Linear 2022-11-23T02:19:00.0435507Z [ OK ] StaticRuntime.Linear (17 ms) 2022-11-23T02:19:00.0435821Z [ RUN ] StaticRuntime.VarCat 2022-11-23T02:19:00.0826736Z [ OK ] StaticRuntime.VarCat (39 ms) 2022-11-23T02:19:00.0827066Z [ RUN ] StaticRuntime.LeakyReLU 2022-11-23T02:19:00.0849468Z [ OK ] StaticRuntime.LeakyReLU (2 ms) 2022-11-23T02:19:00.0849826Z [ RUN ] StaticRuntime.isinstance 2022-11-23T02:19:00.0968472Z [ OK ] StaticRuntime.isinstance (11 ms) 2022-11-23T02:19:00.0968852Z [ RUN ] StaticRuntime.TypeCheck 2022-11-23T02:19:00.1020213Z [ OK ] StaticRuntime.TypeCheck (5 ms) 2022-11-23T02:19:00.1020787Z [ RUN ] StaticRuntime.Index 2022-11-23T02:19:00.1299065Z [ OK ] StaticRuntime.Index (27 ms) 2022-11-23T02:19:00.1299375Z [ RUN ] StaticRuntime.IndexSelect 2022-11-23T02:19:00.1366782Z [ OK ] StaticRuntime.IndexSelect (6 ms) 2022-11-23T02:19:00.1367087Z [ RUN ] StaticRuntime.ClampMin 2022-11-23T02:19:00.1492650Z [ OK ] StaticRuntime.ClampMin (12 ms) 2022-11-23T02:19:00.1492931Z [ RUN ] StaticRuntime.Argmin 2022-11-23T02:19:00.1690353Z [ OK ] StaticRuntime.Argmin (19 ms) 2022-11-23T02:19:00.1690840Z [ RUN ] StaticRuntime.Softmax 2022-11-23T02:19:00.1960963Z [ OK ] StaticRuntime.Softmax (26 ms) 2022-11-23T02:19:00.1961379Z [ RUN ] StaticRuntime.GetItem_Dict 2022-11-23T02:19:00.2050900Z [ OK ] StaticRuntime.GetItem_Dict (9 ms) 2022-11-23T02:19:00.2051245Z [ RUN ] StaticRuntime.GetItem_List 2022-11-23T02:19:00.2143397Z [ OK ] StaticRuntime.GetItem_List (9 ms) 2022-11-23T02:19:00.2143704Z [ RUN ] StaticRuntime.Transpose 2022-11-23T02:19:00.2212849Z [ OK ] StaticRuntime.Transpose (6 ms) 2022-11-23T02:19:00.2213201Z [ RUN ] StaticRuntime.Permute 2022-11-23T02:19:00.2424029Z [ OK ] StaticRuntime.Permute (21 ms) 2022-11-23T02:19:00.2424326Z [ RUN ] StaticRuntime.Slice 2022-11-23T02:19:00.2528213Z [ OK ] StaticRuntime.Slice (10 ms) 2022-11-23T02:19:00.2528555Z [ RUN ] StaticRuntime.Narrow 2022-11-23T02:19:00.2605490Z [ OK ] StaticRuntime.Narrow (7 ms) 2022-11-23T02:19:00.2606004Z [ RUN ] StaticRuntime.TupleUnpack 2022-11-23T02:19:00.2734745Z [ OK ] StaticRuntime.TupleUnpack (12 ms) 2022-11-23T02:19:00.2735044Z [ RUN ] StaticRuntime.Append 2022-11-23T02:19:00.2813552Z [ OK ] StaticRuntime.Append (7 ms) 2022-11-23T02:19:00.2813873Z [ RUN ] StaticRuntime.QuantizedLinear 2022-11-23T02:19:00.3048145Z [ OK ] StaticRuntime.QuantizedLinear (23 ms) 2022-11-23T02:19:00.3048633Z [ RUN ] StaticRuntime.QuantizedLinearDynamicFp16 2022-11-23T02:19:00.3138590Z [ OK ] StaticRuntime.QuantizedLinearDynamicFp16 (9 ms) 2022-11-23T02:19:00.3139230Z [ RUN ] StaticRuntime.QuantizedLinearReluDynamicFp16 2022-11-23T02:19:00.3200792Z [ OK ] StaticRuntime.QuantizedLinearReluDynamicFp16 (6 ms) 2022-11-23T02:19:00.3201181Z [ RUN ] StaticRuntime.VarStack 2022-11-23T02:19:00.3826855Z [ OK ] StaticRuntime.VarStack (62 ms) 2022-11-23T02:19:00.3827211Z [ RUN ] StaticRuntime.FmodTensor 2022-11-23T02:19:00.3927616Z [ OK ] StaticRuntime.FmodTensor (10 ms) 2022-11-23T02:19:00.3928159Z [ RUN ] StaticRuntime.FmodScalar 2022-11-23T02:19:00.4090836Z [ OK ] StaticRuntime.FmodScalar (16 ms) 2022-11-23T02:19:00.4091538Z [ RUN ] StaticRuntime.QEmbeddingBagBytePrepack 2022-11-23T02:19:00.4309347Z [ OK ] StaticRuntime.QEmbeddingBagBytePrepack (21 ms) 2022-11-23T02:19:00.4309840Z [ RUN ] StaticRuntime.QEmbeddingBagByteUnpack 2022-11-23T02:19:00.4496634Z [ OK ] StaticRuntime.QEmbeddingBagByteUnpack (18 ms) 2022-11-23T02:19:00.4497137Z [ RUN ] StaticRuntime.LinalgNorm_ScalarOrd 2022-11-23T02:19:00.4608423Z [ OK ] StaticRuntime.LinalgNorm_ScalarOrd (11 ms) 2022-11-23T02:19:00.4609011Z [ RUN ] StaticRuntime.LinalgNorm_StringOrd 2022-11-23T02:19:00.4696930Z [ OK ] StaticRuntime.LinalgNorm_StringOrd (8 ms) 2022-11-23T02:19:00.4697474Z [ RUN ] StaticRuntime.Index_Put 2022-11-23T02:19:00.4849117Z [ OK ] StaticRuntime.Index_Put (15 ms) 2022-11-23T02:19:00.4849614Z [ RUN ] StaticRuntime.Item 2022-11-23T02:19:00.4870087Z [ OK ] StaticRuntime.Item (2 ms) 2022-11-23T02:19:00.4870861Z [ RUN ] StaticRuntime.Tensor_Split 2022-11-23T02:19:00.4989256Z [ OK ] StaticRuntime.Tensor_Split (11 ms) 2022-11-23T02:19:00.4989814Z [ RUN ] StaticRuntime.JIT_Aten_Cpu 2022-11-23T02:19:00.5017717Z [ OK ] StaticRuntime.JIT_Aten_Cpu (2 ms) 2022-11-23T02:19:00.5018254Z [ RUN ] StaticRuntime.JIT_Aten_Numel 2022-11-23T02:19:00.5040720Z [ OK ] StaticRuntime.JIT_Aten_Numel (2 ms) 2022-11-23T02:19:00.5041258Z [ RUN ] StaticRuntime.JIT_Aten_List 2022-11-23T02:19:00.5073313Z [ OK ] StaticRuntime.JIT_Aten_List (3 ms) 2022-11-23T02:19:00.5073860Z [ RUN ] StaticRuntime.JIT_Aten_Range_Length 2022-11-23T02:19:00.5088288Z [ OK ] StaticRuntime.JIT_Aten_Range_Length (1 ms) 2022-11-23T02:19:00.5088811Z [ RUN ] StaticRuntime.Cat 2022-11-23T02:19:00.5192611Z [ OK ] StaticRuntime.Cat (10 ms) 2022-11-23T02:19:00.5193109Z [ RUN ] StaticRuntime.Cumsum 2022-11-23T02:19:00.5266925Z [ OK ] StaticRuntime.Cumsum (7 ms) 2022-11-23T02:19:00.5267460Z [ RUN ] StaticRuntime.CumsumDtype 2022-11-23T02:19:00.5339697Z [ OK ] StaticRuntime.CumsumDtype (7 ms) 2022-11-23T02:19:00.5340130Z [ RUN ] StaticRuntime.Nonzero 2022-11-23T02:19:00.5422176Z [ OK ] StaticRuntime.Nonzero (8 ms) 2022-11-23T02:19:00.5422490Z [ RUN ] StaticRuntime.SignedLog1p 2022-11-23T02:19:00.6830193Z [ OK ] StaticRuntime.SignedLog1p (140 ms) 2022-11-23T02:19:00.6830690Z [ RUN ] StaticRuntime.RemoveImmutableInputDictLookupsWithImmutableInputDict 2022-11-23T02:19:00.6935394Z [ OK ] StaticRuntime.RemoveImmutableInputDictLookupsWithImmutableInputDict (10 ms) 2022-11-23T02:19:00.6935977Z [ RUN ] StaticRuntime.RemoveImmutableInputDictLookupsWithMutableInputDict 2022-11-23T02:19:00.6944307Z [ OK ] StaticRuntime.RemoveImmutableInputDictLookupsWithMutableInputDict (0 ms) 2022-11-23T02:19:00.6944744Z [ RUN ] StaticRuntime.VarTupleUnpack 2022-11-23T02:19:00.7739276Z [ OK ] StaticRuntime.VarTupleUnpack (79 ms) 2022-11-23T02:19:00.7739634Z [ RUN ] StaticRuntime.VarTupleUnpack_NotApplied 2022-11-23T02:19:00.7749514Z [ OK ] StaticRuntime.VarTupleUnpack_NotApplied (1 ms) 2022-11-23T02:19:00.7749901Z [ RUN ] StaticRuntime.RemainderTensor 2022-11-23T02:19:00.7847333Z [ OK ] StaticRuntime.RemainderTensor (9 ms) 2022-11-23T02:19:00.7847706Z [ RUN ] StaticRuntime.RemainderScalar 2022-11-23T02:19:00.7939622Z [ OK ] StaticRuntime.RemainderScalar (9 ms) 2022-11-23T02:19:00.7939961Z [ RUN ] StaticRuntime.Where 2022-11-23T02:19:00.8915493Z [ OK ] StaticRuntime.Where (97 ms) 2022-11-23T02:19:00.8915795Z [ RUN ] StaticRuntime.WhereBroadcast 2022-11-23T02:19:00.9055513Z [ OK ] StaticRuntime.WhereBroadcast (14 ms) 2022-11-23T02:19:00.9055839Z [ RUN ] StaticRuntime.View 2022-11-23T02:19:00.9111853Z [ OK ] StaticRuntime.View (5 ms) 2022-11-23T02:19:00.9112219Z [ RUN ] StaticRuntime.Size 2022-11-23T02:19:00.9201729Z [ OK ] StaticRuntime.Size (8 ms) 2022-11-23T02:19:00.9202006Z [ RUN ] StaticRuntime.Squeeze 2022-11-23T02:19:00.9312446Z [ OK ] StaticRuntime.Squeeze (11 ms) 2022-11-23T02:19:00.9312855Z [ RUN ] StaticRuntime.NumToTensorScalar 2022-11-23T02:19:00.9331300Z [ OK ] StaticRuntime.NumToTensorScalar (1 ms) 2022-11-23T02:19:00.9331624Z [ RUN ] StaticRuntime.NumToTensorFalse 2022-11-23T02:19:00.9351096Z [ OK ] StaticRuntime.NumToTensorFalse (1 ms) 2022-11-23T02:19:00.9351423Z [ RUN ] StaticRuntime.NumToTensorTrue 2022-11-23T02:19:00.9370267Z [ OK ] StaticRuntime.NumToTensorTrue (1 ms) 2022-11-23T02:19:00.9370568Z [ RUN ] StaticRuntime.Split 2022-11-23T02:19:00.9490279Z [ OK ] StaticRuntime.Split (12 ms) 2022-11-23T02:19:00.9490669Z [ RUN ] StaticRuntime.SplitWithSizes 2022-11-23T02:19:00.9608059Z [ OK ] StaticRuntime.SplitWithSizes (11 ms) 2022-11-23T02:19:00.9608407Z [ RUN ] StaticRuntime.ModelCrashOnFirstRun 2022-11-23T02:19:00.9691860Z [ OK ] StaticRuntime.ModelCrashOnFirstRun (8 ms) 2022-11-23T02:19:00.9692222Z [ RUN ] StaticRuntime.ModelCrashOnSecondRun 2022-11-23T02:19:00.9698079Z [ OK ] StaticRuntime.ModelCrashOnSecondRun (0 ms) 2022-11-23T02:19:00.9698531Z [ RUN ] StaticRuntime.ModelCrashOnFirstRunWithBorrows 2022-11-23T02:19:00.9702871Z [ OK ] StaticRuntime.ModelCrashOnFirstRunWithBorrows (0 ms) 2022-11-23T02:19:00.9703353Z [ RUN ] StaticRuntime.ModelCrashOnFirstRunWithBorrowedInputs 2022-11-23T02:19:00.9706648Z [ OK ] StaticRuntime.ModelCrashOnFirstRunWithBorrowedInputs (0 ms) 2022-11-23T02:19:00.9707106Z [ RUN ] StaticRuntime.ReplaceWithMaybeCopy 2022-11-23T02:19:00.9713090Z [ OK ] StaticRuntime.ReplaceWithMaybeCopy (0 ms) 2022-11-23T02:19:00.9713429Z [ RUN ] StaticRuntime.Int 2022-11-23T02:19:00.9736204Z [ OK ] StaticRuntime.Int (2 ms) 2022-11-23T02:19:00.9736571Z [ RUN ] StaticRuntime.ReturnConstant 2022-11-23T02:19:00.9753869Z [ OK ] StaticRuntime.ReturnConstant (1 ms) 2022-11-23T02:19:00.9754253Z [ RUN ] StaticRuntime.SimpleIf 2022-11-23T02:19:00.9887963Z [ OK ] StaticRuntime.SimpleIf (13 ms) 2022-11-23T02:19:00.9888300Z [ RUN ] StaticRuntime.NestedIf 2022-11-23T02:19:01.0264123Z [ OK ] StaticRuntime.NestedIf (37 ms) 2022-11-23T02:19:01.0264445Z [ RUN ] StaticRuntime.DeeplyNestedIf 2022-11-23T02:19:01.1466709Z [ OK ] StaticRuntime.DeeplyNestedIf (120 ms) 2022-11-23T02:19:01.1467020Z [ RUN ] StaticRuntime.BasicForLoop 2022-11-23T02:19:01.1545721Z [ OK ] StaticRuntime.BasicForLoop (7 ms) 2022-11-23T02:19:01.1546055Z [ RUN ] StaticRuntime.BasicWhileLoop 2022-11-23T02:19:01.1628604Z [ OK ] StaticRuntime.BasicWhileLoop (8 ms) 2022-11-23T02:19:01.1628954Z [ RUN ] StaticRuntime.NestedLoops 2022-11-23T02:19:01.1887151Z [ OK ] StaticRuntime.NestedLoops (25 ms) 2022-11-23T02:19:01.1887480Z [ RUN ] StaticRuntime.TupleIndex 2022-11-23T02:19:01.1918820Z [ OK ] StaticRuntime.TupleIndex (3 ms) 2022-11-23T02:19:01.1919150Z [ RUN ] StaticRuntime.RaiseException 2022-11-23T02:19:01.1921447Z [ OK ] StaticRuntime.RaiseException (0 ms) 2022-11-23T02:19:01.1921910Z [ RUN ] StaticRuntime.Uninitialized 2022-11-23T02:19:01.1923743Z [ OK ] StaticRuntime.Uninitialized (0 ms) 2022-11-23T02:19:01.1924100Z [ RUN ] StaticRuntime.Format 2022-11-23T02:19:01.1954868Z [ OK ] StaticRuntime.Format (3 ms) 2022-11-23T02:19:01.1955201Z [ RUN ] StaticRuntime.Device 2022-11-23T02:19:01.1977395Z [ OK ] StaticRuntime.Device (2 ms) 2022-11-23T02:19:01.1977750Z [ RUN ] StaticRuntime.Dtype 2022-11-23T02:19:01.2002287Z [ OK ] StaticRuntime.Dtype (2 ms) 2022-11-23T02:19:01.2002636Z [ RUN ] StaticRuntime.Dim 2022-11-23T02:19:01.2028371Z [ OK ] StaticRuntime.Dim (2 ms) 2022-11-23T02:19:01.2028684Z [ RUN ] StaticRuntime.Not 2022-11-23T02:19:01.2049136Z [ OK ] StaticRuntime.Not (2 ms) 2022-11-23T02:19:01.2049476Z [ RUN ] StaticRuntime.Bool 2022-11-23T02:19:01.2079997Z [ OK ] StaticRuntime.Bool (3 ms) 2022-11-23T02:19:01.2080328Z [ RUN ] StaticRuntime.IsCuda 2022-11-23T02:19:01.2104909Z [ OK ] StaticRuntime.IsCuda (2 ms) 2022-11-23T02:19:01.2105246Z [ RUN ] StaticRuntime.ToList 2022-11-23T02:19:01.2123597Z [ OK ] StaticRuntime.ToList (1 ms) 2022-11-23T02:19:01.2123966Z [ RUN ] StaticRuntime.IfThenElse 2022-11-23T02:19:01.2168660Z [ OK ] StaticRuntime.IfThenElse (4 ms) 2022-11-23T02:19:01.2169040Z [ RUN ] StaticRuntime.EmptyIfBlock 2022-11-23T02:19:01.2260258Z [ OK ] StaticRuntime.EmptyIfBlock (9 ms) 2022-11-23T02:19:01.2260729Z [ RUN ] StaticRuntime.EmptyNestedIfBlock 2022-11-23T02:19:01.2357791Z [ OK ] StaticRuntime.EmptyNestedIfBlock (9 ms) 2022-11-23T02:19:01.2358097Z [ RUN ] StaticRuntime.StackEmpty 2022-11-23T02:19:01.2854753Z [ OK ] StaticRuntime.StackEmpty (49 ms) 2022-11-23T02:19:01.2855063Z [ RUN ] StaticRuntime.ConcatEmpty 2022-11-23T02:19:01.3267337Z [ OK ] StaticRuntime.ConcatEmpty (41 ms) 2022-11-23T02:19:01.3267635Z [ RUN ] StaticRuntime.IntImplicit 2022-11-23T02:19:01.3283426Z [ OK ] StaticRuntime.IntImplicit (1 ms) 2022-11-23T02:19:01.3283787Z [ RUN ] StaticRuntime.IntImplicit_ThrowOnBadInputs 2022-11-23T02:19:01.3286449Z [ OK ] StaticRuntime.IntImplicit_ThrowOnBadInputs (0 ms) 2022-11-23T02:19:01.3286780Z [ RUN ] StaticRuntime.Select 2022-11-23T02:19:01.3311076Z [ OK ] StaticRuntime.Select (2 ms) 2022-11-23T02:19:01.3311378Z [ RUN ] StaticRuntime.ReshapeAs 2022-11-23T02:19:01.3346766Z [ OK ] StaticRuntime.ReshapeAs (3 ms) 2022-11-23T02:19:01.3347072Z [ RUN ] StaticRuntime.MoveCtor 2022-11-23T02:19:01.3370427Z [ OK ] StaticRuntime.MoveCtor (2 ms) 2022-11-23T02:19:01.3370753Z [ RUN ] StaticRuntime.SingleBlockIfReturnList 2022-11-23T02:19:01.3524893Z [ OK ] StaticRuntime.SingleBlockIfReturnList (15 ms) 2022-11-23T02:19:01.3525261Z [ RUN ] StaticRuntime.NestedBlockIfReturnList 2022-11-23T02:19:01.3830738Z [ OK ] StaticRuntime.NestedBlockIfReturnList (30 ms) 2022-11-23T02:19:01.3831068Z [ RUN ] StaticRuntime.ClampNaNToNum 2022-11-23T02:19:01.4307453Z [ OK ] StaticRuntime.ClampNaNToNum (47 ms) 2022-11-23T02:19:01.4308133Z [ RUN ] StaticRuntime.IfReturningTuple 2022-11-23T02:19:01.4345842Z [ OK ] StaticRuntime.IfReturningTuple (3 ms) 2022-11-23T02:19:01.4346390Z [ RUN ] StaticRuntime.ModuleHasOp 2022-11-23T02:19:01.4359507Z [ OK ] StaticRuntime.ModuleHasOp (1 ms) 2022-11-23T02:19:01.4360120Z [ RUN ] StaticRuntime.ReplaceWithCopy_replaces_reshape 2022-11-23T02:19:01.4366715Z [ OK ] StaticRuntime.ReplaceWithCopy_replaces_reshape (0 ms) 2022-11-23T02:19:01.4367464Z [ RUN ] StaticRuntime.ReplaceWithCopy_does_not_replace_reshape_if_input_has_writters 2022-11-23T02:19:01.4377693Z [ OK ] StaticRuntime.ReplaceWithCopy_does_not_replace_reshape_if_input_has_writters (1 ms) 2022-11-23T02:19:01.4378360Z [ RUN ] StaticRuntime.CanEnableStaticRuntime 2022-11-23T02:19:01.4387195Z [W impl.cpp:113] Found unsupported op: aten::__is__ 2022-11-23T02:19:01.4389296Z [W impl.cpp:113] Found unsupported op: aten::__isnot__ 2022-11-23T02:19:01.4390519Z [ OK ] StaticRuntime.CanEnableStaticRuntime (1 ms) 2022-11-23T02:19:01.4391185Z [ RUN ] StaticRuntime.CanEnableStaticRuntimeSubBlocks 2022-11-23T02:19:01.4392623Z [W impl.cpp:113] Found unsupported op: aten::__is__ 2022-11-23T02:19:01.4393235Z [ OK ] StaticRuntime.CanEnableStaticRuntimeSubBlocks (0 ms) 2022-11-23T02:19:01.4393803Z [ RUN ] StaticRuntime.NestedOutput 2022-11-23T02:19:01.9820233Z [ OK ] StaticRuntime.NestedOutput (542 ms) 2022-11-23T02:19:01.9821128Z [ RUN ] StaticRuntime.LongModel 2022-11-23T02:19:01.9836876Z [ OK ] StaticRuntime.LongModel (1 ms) 2022-11-23T02:19:01.9837525Z [ RUN ] StaticRuntime.TrivialModel 2022-11-23T02:19:01.9853180Z [ OK ] StaticRuntime.TrivialModel (1 ms) 2022-11-23T02:19:01.9853622Z [ RUN ] StaticRuntime.DeepWide 2022-11-23T02:19:02.6072636Z [ OK ] StaticRuntime.DeepWide (621 ms) 2022-11-23T02:19:02.6073059Z [ RUN ] StaticRuntime.KWargsAPI_1 2022-11-23T02:19:03.0946604Z [ OK ] StaticRuntime.KWargsAPI_1 (487 ms) 2022-11-23T02:19:03.0947184Z [ RUN ] StaticRuntime.KWargsAPI_2 2022-11-23T02:19:03.5835664Z [ OK ] StaticRuntime.KWargsAPI_2 (488 ms) 2022-11-23T02:19:03.5836061Z [ RUN ] StaticRuntime.KWargsAPI_Optional 2022-11-23T02:19:03.5846515Z [ OK ] StaticRuntime.KWargsAPI_Optional (1 ms) 2022-11-23T02:19:03.5847115Z [ RUN ] StaticRuntime.CleanUpMemory 2022-11-23T02:19:04.0844104Z [ OK ] StaticRuntime.CleanUpMemory (499 ms) 2022-11-23T02:19:04.0844498Z [ RUN ] StaticRuntime.ManageOutputTensors 2022-11-23T02:19:04.0896350Z [ OK ] StaticRuntime.ManageOutputTensors (5 ms) 2022-11-23T02:19:04.0897114Z [ RUN ] StaticRuntime.ManageOutputTensorsReturnsOutputContainingManagedOutputTensor 2022-11-23T02:19:04.0900121Z [ OK ] StaticRuntime.ManageOutputTensorsReturnsOutputContainingManagedOutputTensor (0 ms) 2022-11-23T02:19:04.0900806Z [ RUN ] StaticRuntime.ManageOutputTensorsWithDeallocateOutputTensors 2022-11-23T02:19:04.0924834Z [ OK ] StaticRuntime.ManageOutputTensorsWithDeallocateOutputTensors (2 ms) 2022-11-23T02:19:04.0925516Z [ RUN ] StaticRuntime.ManageOutputTensorsWithoutDeallocateOutputTensors 2022-11-23T02:19:04.0993974Z [ OK ] StaticRuntime.ManageOutputTensorsWithoutDeallocateOutputTensors (6 ms) 2022-11-23T02:19:04.0994611Z [ RUN ] StaticRuntime.DisableManageOutputTensors 2022-11-23T02:19:04.0998444Z [ OK ] StaticRuntime.DisableManageOutputTensors (0 ms) 2022-11-23T02:19:04.0998979Z [ RUN ] StaticRuntime.FusionPass 2022-11-23T02:19:04.6260543Z [ OK ] StaticRuntime.FusionPass (526 ms) 2022-11-23T02:19:04.6260945Z [ RUN ] StaticRuntime.BadSchemaAliasInfo 2022-11-23T02:19:04.6301326Z [ OK ] StaticRuntime.BadSchemaAliasInfo (4 ms) 2022-11-23T02:19:04.6301965Z [ RUN ] StaticRuntime.GoodSchemaAliasInfo 2022-11-23T02:19:04.6375101Z [ OK ] StaticRuntime.GoodSchemaAliasInfo (7 ms) 2022-11-23T02:19:04.6375696Z [ RUN ] StaticRuntime.autogen_absolute 2022-11-23T02:19:04.7634378Z [ OK ] StaticRuntime.autogen_absolute (125 ms) 2022-11-23T02:19:04.7634812Z [ RUN ] StaticRuntime.autogen_angle 2022-11-23T02:19:04.8674736Z [ OK ] StaticRuntime.autogen_angle (104 ms) 2022-11-23T02:19:04.8675301Z [ RUN ] StaticRuntime.autogen_sgn 2022-11-23T02:19:04.9713748Z [ OK ] StaticRuntime.autogen_sgn (103 ms) 2022-11-23T02:19:04.9714276Z [ RUN ] StaticRuntime.autogen_acos 2022-11-23T02:19:05.0995744Z [ OK ] StaticRuntime.autogen_acos (128 ms) 2022-11-23T02:19:05.0996313Z [ RUN ] StaticRuntime.autogen_arccos 2022-11-23T02:19:05.2277420Z [ OK ] StaticRuntime.autogen_arccos (128 ms) 2022-11-23T02:19:05.2277961Z [ RUN ] StaticRuntime.autogen__add_relu_Tensor 2022-11-23T02:19:05.3951478Z [ OK ] StaticRuntime.autogen__add_relu_Tensor (167 ms) 2022-11-23T02:19:05.3951853Z [ RUN ] StaticRuntime.autogen_addmv 2022-11-23T02:19:05.4072524Z [ OK ] StaticRuntime.autogen_addmv (12 ms) 2022-11-23T02:19:05.4072833Z [ RUN ] StaticRuntime.autogen_addr 2022-11-23T02:19:05.4224622Z [ OK ] StaticRuntime.autogen_addr (15 ms) 2022-11-23T02:19:05.4225131Z [ RUN ] StaticRuntime.autogen_argmax 2022-11-23T02:19:05.4719902Z [ OK ] StaticRuntime.autogen_argmax (49 ms) 2022-11-23T02:19:05.4720219Z [ RUN ] StaticRuntime.autogen_acosh 2022-11-23T02:19:05.4797596Z [ OK ] StaticRuntime.autogen_acosh (7 ms) 2022-11-23T02:19:05.4797928Z [ RUN ] StaticRuntime.autogen_asinh 2022-11-23T02:19:05.6082536Z [ OK ] StaticRuntime.autogen_asinh (128 ms) 2022-11-23T02:19:05.6082859Z [ RUN ] StaticRuntime.autogen_arcsinh 2022-11-23T02:19:05.7362542Z [ OK ] StaticRuntime.autogen_arcsinh (128 ms) 2022-11-23T02:19:05.7362855Z [ RUN ] StaticRuntime.autogen_atanh 2022-11-23T02:19:05.8648980Z [ OK ] StaticRuntime.autogen_atanh (128 ms) 2022-11-23T02:19:05.8649313Z [ RUN ] StaticRuntime.autogen_arctanh 2022-11-23T02:19:05.9926774Z [ OK ] StaticRuntime.autogen_arctanh (127 ms) 2022-11-23T02:19:05.9927097Z [ RUN ] StaticRuntime.autogen_asin 2022-11-23T02:19:06.1226302Z [ OK ] StaticRuntime.autogen_asin (129 ms) 2022-11-23T02:19:06.1226624Z [ RUN ] StaticRuntime.autogen_arcsin 2022-11-23T02:19:06.2525470Z [ OK ] StaticRuntime.autogen_arcsin (129 ms) 2022-11-23T02:19:06.2525811Z [ RUN ] StaticRuntime.autogen_atan 2022-11-23T02:19:06.3829118Z [ OK ] StaticRuntime.autogen_atan (130 ms) 2022-11-23T02:19:06.3829503Z [ RUN ] StaticRuntime.autogen_arctan 2022-11-23T02:19:06.5134659Z [ OK ] StaticRuntime.autogen_arctan (130 ms) 2022-11-23T02:19:06.5135160Z [ RUN ] StaticRuntime.autogen_baddbmm 2022-11-23T02:19:06.7401339Z [ OK ] StaticRuntime.autogen_baddbmm (226 ms) 2022-11-23T02:19:06.7401834Z [ RUN ] StaticRuntime.autogen_bitwise_not 2022-11-23T02:19:06.8591361Z [ OK ] StaticRuntime.autogen_bitwise_not (118 ms) 2022-11-23T02:19:06.8591966Z [ RUN ] StaticRuntime.autogen_copysign_Tensor 2022-11-23T02:19:07.0235849Z [ OK ] StaticRuntime.autogen_copysign_Tensor (164 ms) 2022-11-23T02:19:07.0236424Z [ RUN ] StaticRuntime.autogen_logical_not 2022-11-23T02:19:07.1232239Z [ OK ] StaticRuntime.autogen_logical_not (99 ms) 2022-11-23T02:19:07.1232807Z [ RUN ] StaticRuntime.autogen_logical_xor 2022-11-23T02:19:07.2624107Z [ OK ] StaticRuntime.autogen_logical_xor (139 ms) 2022-11-23T02:19:07.2624653Z [ RUN ] StaticRuntime.autogen_logical_and 2022-11-23T02:19:07.4023688Z [ OK ] StaticRuntime.autogen_logical_and (139 ms) 2022-11-23T02:19:07.4024228Z [ RUN ] StaticRuntime.autogen_logical_or 2022-11-23T02:19:07.5421324Z [ OK ] StaticRuntime.autogen_logical_or (139 ms) 2022-11-23T02:19:07.5421906Z [ RUN ] StaticRuntime.autogen_ceil 2022-11-23T02:19:07.6458389Z [ OK ] StaticRuntime.autogen_ceil (103 ms) 2022-11-23T02:19:07.6459097Z [ RUN ] StaticRuntime.autogen_clamp_max 2022-11-23T02:19:07.7724242Z [ OK ] StaticRuntime.autogen_clamp_max (126 ms) 2022-11-23T02:19:07.7724729Z [ RUN ] StaticRuntime.autogen_clamp_max_Tensor 2022-11-23T02:19:07.9388859Z [ OK ] StaticRuntime.autogen_clamp_max_Tensor (166 ms) 2022-11-23T02:19:07.9389450Z [ RUN ] StaticRuntime.autogen_clip 2022-11-23T02:19:08.0405860Z [ OK ] StaticRuntime.autogen_clip (101 ms) 2022-11-23T02:19:08.0406418Z [ RUN ] StaticRuntime.autogen_complex 2022-11-23T02:19:08.0415489Z [W Copy.cpp:275] Warning: Casting complex values to real discards the imaginary part (function operator()) 2022-11-23T02:19:08.2040387Z [ OK ] StaticRuntime.autogen_complex (163 ms) 2022-11-23T02:19:08.2040808Z [ RUN ] StaticRuntime.autogen_polar 2022-11-23T02:19:08.3664787Z [ OK ] StaticRuntime.autogen_polar (162 ms) 2022-11-23T02:19:08.3665221Z [ RUN ] StaticRuntime.autogen_cos 2022-11-23T02:19:08.4923567Z [ OK ] StaticRuntime.autogen_cos (125 ms) 2022-11-23T02:19:08.4924134Z [ RUN ] StaticRuntime.autogen_cosh 2022-11-23T02:19:08.6144354Z [ OK ] StaticRuntime.autogen_cosh (122 ms) 2022-11-23T02:19:08.6144746Z [ RUN ] StaticRuntime.autogen_cumprod 2022-11-23T02:19:08.7511772Z [ OK ] StaticRuntime.autogen_cumprod (136 ms) 2022-11-23T02:19:08.7512271Z [ RUN ] StaticRuntime.autogen_diff 2022-11-23T02:19:09.1135706Z [ OK ] StaticRuntime.autogen_diff (362 ms) 2022-11-23T02:19:09.1136056Z [ RUN ] StaticRuntime.autogen_divide_Tensor 2022-11-23T02:19:09.2878572Z [ OK ] StaticRuntime.autogen_divide_Tensor (174 ms) 2022-11-23T02:19:09.2878940Z [ RUN ] StaticRuntime.autogen_true_divide_Tensor 2022-11-23T02:19:09.4566687Z [ OK ] StaticRuntime.autogen_true_divide_Tensor (168 ms) 2022-11-23T02:19:09.4567014Z [ RUN ] StaticRuntime.autogen_dot 2022-11-23T02:19:09.4632214Z [ OK ] StaticRuntime.autogen_dot (6 ms) 2022-11-23T02:19:09.4632517Z [ RUN ] StaticRuntime.autogen_vdot 2022-11-23T02:19:09.4695633Z [ OK ] StaticRuntime.autogen_vdot (6 ms) 2022-11-23T02:19:09.4695921Z [ RUN ] StaticRuntime.autogen_erf 2022-11-23T02:19:09.5958350Z [ OK ] StaticRuntime.autogen_erf (126 ms) 2022-11-23T02:19:09.5958720Z [ RUN ] StaticRuntime.autogen_erfc 2022-11-23T02:19:09.7220743Z [ OK ] StaticRuntime.autogen_erfc (126 ms) 2022-11-23T02:19:09.7221236Z [ RUN ] StaticRuntime.autogen_exp 2022-11-23T02:19:09.8440251Z [ OK ] StaticRuntime.autogen_exp (121 ms) 2022-11-23T02:19:09.8440767Z [ RUN ] StaticRuntime.autogen_exp2 2022-11-23T02:19:09.9628372Z [ OK ] StaticRuntime.autogen_exp2 (118 ms) 2022-11-23T02:19:09.9628871Z [ RUN ] StaticRuntime.autogen_expm1 2022-11-23T02:19:10.0896579Z [ OK ] StaticRuntime.autogen_expm1 (126 ms) 2022-11-23T02:19:10.0897073Z [ RUN ] StaticRuntime.autogen_floor 2022-11-23T02:19:10.1924231Z [ OK ] StaticRuntime.autogen_floor (102 ms) 2022-11-23T02:19:10.1924718Z [ RUN ] StaticRuntime.autogen_frac 2022-11-23T02:19:10.3170120Z [ OK ] StaticRuntime.autogen_frac (124 ms) 2022-11-23T02:19:10.3170673Z [ RUN ] StaticRuntime.autogen_gcd 2022-11-23T02:19:10.4743197Z [ OK ] StaticRuntime.autogen_gcd (157 ms) 2022-11-23T02:19:10.4743796Z [ RUN ] StaticRuntime.autogen_lcm 2022-11-23T02:19:10.6506864Z [ OK ] StaticRuntime.autogen_lcm (176 ms) 2022-11-23T02:19:10.6507527Z [ RUN ] StaticRuntime.autogen_index_copy 2022-11-23T02:19:10.6572729Z [ OK ] StaticRuntime.autogen_index_copy (6 ms) 2022-11-23T02:19:10.6573294Z [ RUN ] StaticRuntime.autogen_isin_Tensor_Tensor 2022-11-23T02:19:10.8694707Z [ OK ] StaticRuntime.autogen_isin_Tensor_Tensor (212 ms) 2022-11-23T02:19:10.8695275Z [ RUN ] StaticRuntime.autogen_isin_Tensor_Scalar 2022-11-23T02:19:10.9688338Z [ OK ] StaticRuntime.autogen_isin_Tensor_Scalar (99 ms) 2022-11-23T02:19:10.9688721Z [ RUN ] StaticRuntime.autogen_isin_Scalar_Tensor 2022-11-23T02:19:11.0378986Z [ OK ] StaticRuntime.autogen_isin_Scalar_Tensor (69 ms) 2022-11-23T02:19:11.0379374Z [ RUN ] StaticRuntime.autogen_kron 2022-11-23T02:33:40.5651063Z [ OK ] StaticRuntime.autogen_kron (869527 ms) 2022-11-23T02:33:40.5651465Z [ RUN ] StaticRuntime.autogen_ldexp_Tensor 2022-11-23T02:33:40.7327435Z [ OK ] StaticRuntime.autogen_ldexp_Tensor (167 ms) 2022-11-23T02:33:40.7327932Z [ RUN ] StaticRuntime.autogen_log10 2022-11-23T02:33:40.8604452Z [ OK ] StaticRuntime.autogen_log10 (127 ms) 2022-11-23T02:33:40.8604825Z [ RUN ] StaticRuntime.autogen_log1p 2022-11-23T02:33:40.9868846Z [ OK ] StaticRuntime.autogen_log1p (126 ms) 2022-11-23T02:33:40.9869245Z [ RUN ] StaticRuntime.autogen_log2 2022-11-23T02:33:41.1119657Z [ OK ] StaticRuntime.autogen_log2 (125 ms) 2022-11-23T02:33:41.1120030Z [ RUN ] StaticRuntime.autogen_logaddexp 2022-11-23T02:33:41.2762468Z [ OK ] StaticRuntime.autogen_logaddexp (164 ms) 2022-11-23T02:33:41.2763089Z [ RUN ] StaticRuntime.autogen_logaddexp2 2022-11-23T02:33:41.4403255Z [ OK ] StaticRuntime.autogen_logaddexp2 (164 ms) 2022-11-23T02:33:41.4403581Z [ RUN ] StaticRuntime.autogen_xlogy_Tensor 2022-11-23T02:33:41.6105380Z [ OK ] StaticRuntime.autogen_xlogy_Tensor (170 ms) 2022-11-23T02:33:41.6105728Z [ RUN ] StaticRuntime.autogen__log_softmax 2022-11-23T02:33:41.7293214Z [ OK ] StaticRuntime.autogen__log_softmax (118 ms) 2022-11-23T02:33:41.7293706Z [ RUN ] StaticRuntime.autogen__log_softmax_backward_data 2022-11-23T02:33:41.9199780Z [ OK ] StaticRuntime.autogen__log_softmax_backward_data (190 ms) 2022-11-23T02:33:41.9200188Z [ RUN ] StaticRuntime.autogen__logcumsumexp 2022-11-23T02:33:42.0461712Z [ OK ] StaticRuntime.autogen__logcumsumexp (126 ms) 2022-11-23T02:33:42.0462060Z [ RUN ] StaticRuntime.autogen_logcumsumexp 2022-11-23T02:33:42.1718569Z [ OK ] StaticRuntime.autogen_logcumsumexp (125 ms) 2022-11-23T02:33:42.1718990Z [ RUN ] StaticRuntime.autogen_matrix_power 2022-11-23T02:33:42.2954671Z [ OK ] StaticRuntime.autogen_matrix_power (123 ms) 2022-11-23T02:33:42.2955068Z [ RUN ] StaticRuntime.autogen_mm 2022-11-23T02:33:42.3192367Z [ OK ] StaticRuntime.autogen_mm (23 ms) 2022-11-23T02:33:42.3192708Z [ RUN ] StaticRuntime.autogen_multiply_Tensor 2022-11-23T02:33:42.4826939Z [ OK ] StaticRuntime.autogen_multiply_Tensor (163 ms) 2022-11-23T02:33:42.4827300Z [ RUN ] StaticRuntime.autogen_mv 2022-11-23T02:33:42.4914438Z [ OK ] StaticRuntime.autogen_mv (8 ms) 2022-11-23T02:33:42.4914804Z [ RUN ] StaticRuntime.autogen_mvlgamma 2022-11-23T02:33:42.6232920Z [ OK ] StaticRuntime.autogen_mvlgamma (131 ms) 2022-11-23T02:33:42.6233281Z [ RUN ] StaticRuntime.autogen_rad2deg 2022-11-23T02:33:42.7730999Z [ OK ] StaticRuntime.autogen_rad2deg (149 ms) 2022-11-23T02:33:42.7731559Z [ RUN ] StaticRuntime.autogen_deg2rad 2022-11-23T02:33:42.8987842Z [ OK ] StaticRuntime.autogen_deg2rad (125 ms) 2022-11-23T02:33:42.8988378Z [ RUN ] StaticRuntime.autogen_reciprocal 2022-11-23T02:33:43.0309398Z [ OK ] StaticRuntime.autogen_reciprocal (132 ms) 2022-11-23T02:33:43.0309987Z [ RUN ] StaticRuntime.autogen_neg 2022-11-23T02:33:43.1531344Z [ OK ] StaticRuntime.autogen_neg (122 ms) 2022-11-23T02:33:43.1531837Z [ RUN ] StaticRuntime.autogen_negative 2022-11-23T02:33:43.2755064Z [ OK ] StaticRuntime.autogen_negative (122 ms) 2022-11-23T02:33:43.2755572Z [ RUN ] StaticRuntime.autogen_round 2022-11-23T02:33:43.3785220Z [ OK ] StaticRuntime.autogen_round (102 ms) 2022-11-23T02:33:43.3785749Z [ RUN ] StaticRuntime.autogen_round_decimals 2022-11-23T02:33:43.5019772Z [ OK ] StaticRuntime.autogen_round_decimals (123 ms) 2022-11-23T02:33:43.5020305Z [ RUN ] StaticRuntime.autogen_gelu 2022-11-23T02:33:43.6268249Z [ OK ] StaticRuntime.autogen_gelu (124 ms) 2022-11-23T02:33:43.6268830Z [ RUN ] StaticRuntime.autogen_gelu_backward 2022-11-23T02:33:43.7965024Z [ OK ] StaticRuntime.autogen_gelu_backward (169 ms) 2022-11-23T02:33:43.7965550Z [ RUN ] StaticRuntime.autogen_hardshrink 2022-11-23T02:33:43.9000683Z [ OK ] StaticRuntime.autogen_hardshrink (103 ms) 2022-11-23T02:33:43.9001275Z [ RUN ] StaticRuntime.autogen_hardshrink_backward 2022-11-23T02:33:44.0411973Z [ OK ] StaticRuntime.autogen_hardshrink_backward (141 ms) 2022-11-23T02:33:44.0412505Z [ RUN ] StaticRuntime.autogen_rsqrt 2022-11-23T02:33:44.1596500Z [ OK ] StaticRuntime.autogen_rsqrt (118 ms) 2022-11-23T02:33:44.1597005Z [ RUN ] StaticRuntime.autogen_silu 2022-11-23T02:33:44.2840820Z [ OK ] StaticRuntime.autogen_silu (124 ms) 2022-11-23T02:33:44.2841372Z [ RUN ] StaticRuntime.autogen_silu_backward 2022-11-23T02:33:44.4495991Z [ OK ] StaticRuntime.autogen_silu_backward (165 ms) 2022-11-23T02:33:44.4496673Z [ RUN ] StaticRuntime.autogen_mish 2022-11-23T02:33:44.5750891Z [ OK ] StaticRuntime.autogen_mish (125 ms) 2022-11-23T02:33:44.5751429Z [ RUN ] StaticRuntime.autogen_sin 2022-11-23T02:33:44.7015169Z [ OK ] StaticRuntime.autogen_sin (126 ms) 2022-11-23T02:33:44.7015704Z [ RUN ] StaticRuntime.autogen_sinc 2022-11-23T02:33:44.8249585Z [ OK ] StaticRuntime.autogen_sinc (123 ms) 2022-11-23T02:33:44.8250103Z [ RUN ] StaticRuntime.autogen_sinh 2022-11-23T02:33:44.9495667Z [ OK ] StaticRuntime.autogen_sinh (124 ms) 2022-11-23T02:33:44.9496190Z [ RUN ] StaticRuntime.autogen__softmax 2022-11-23T02:33:45.0699652Z [ OK ] StaticRuntime.autogen__softmax (120 ms) 2022-11-23T02:33:45.0700221Z [ RUN ] StaticRuntime.autogen__softmax_backward_data 2022-11-23T02:33:45.2328787Z [ OK ] StaticRuntime.autogen__softmax_backward_data (162 ms) 2022-11-23T02:33:45.2329334Z [ RUN ] StaticRuntime.autogen_sqrt 2022-11-23T02:33:45.3568890Z [ OK ] StaticRuntime.autogen_sqrt (123 ms) 2022-11-23T02:33:45.3569385Z [ RUN ] StaticRuntime.autogen_square 2022-11-23T02:33:45.4920977Z [ OK ] StaticRuntime.autogen_square (135 ms) 2022-11-23T02:33:45.4921494Z [ RUN ] StaticRuntime.autogen_prod 2022-11-23T02:33:45.5358320Z [ OK ] StaticRuntime.autogen_prod (43 ms) 2022-11-23T02:33:45.5358861Z [ RUN ] StaticRuntime.autogen_prod_dim_int 2022-11-23T02:33:45.5833946Z [ OK ] StaticRuntime.autogen_prod_dim_int (47 ms) 2022-11-23T02:33:45.5834653Z [ RUN ] StaticRuntime.autogen_tan 2022-11-23T02:33:45.7099802Z [ OK ] StaticRuntime.autogen_tan (126 ms) 2022-11-23T02:33:45.7100300Z [ RUN ] StaticRuntime.autogen_threshold 2022-11-23T02:33:45.8113446Z [ OK ] StaticRuntime.autogen_threshold (101 ms) 2022-11-23T02:33:45.8114003Z [ RUN ] StaticRuntime.autogen_threshold_backward 2022-11-23T02:33:45.9524742Z [ OK ] StaticRuntime.autogen_threshold_backward (141 ms) 2022-11-23T02:33:45.9525318Z [ RUN ] StaticRuntime.autogen_trunc 2022-11-23T02:33:46.0546197Z [ OK ] StaticRuntime.autogen_trunc (102 ms) 2022-11-23T02:33:46.0546846Z [ RUN ] StaticRuntime.autogen_fix 2022-11-23T02:33:46.1569903Z [ OK ] StaticRuntime.autogen_fix (102 ms) 2022-11-23T02:33:46.1570428Z [ RUN ] StaticRuntime.autogen_nuclear_norm 2022-11-23T02:33:46.1716321Z [ OK ] StaticRuntime.autogen_nuclear_norm (14 ms) 2022-11-23T02:33:46.1717003Z [ RUN ] StaticRuntime.autogen_subtract_Tensor 2022-11-23T02:33:46.3313318Z [ OK ] StaticRuntime.autogen_subtract_Tensor (159 ms) 2022-11-23T02:33:46.3313859Z [ RUN ] StaticRuntime.autogen_heaviside 2022-11-23T02:33:46.4677968Z [ OK ] StaticRuntime.autogen_heaviside (136 ms) 2022-11-23T02:33:46.4678487Z [ RUN ] StaticRuntime.autogen__addmm_activation 2022-11-23T02:33:46.4996835Z [ OK ] StaticRuntime.autogen__addmm_activation (31 ms) 2022-11-23T02:33:46.4997440Z [ RUN ] StaticRuntime.autogen_index_add 2022-11-23T02:33:46.5054859Z [ OK ] StaticRuntime.autogen_index_add (5 ms) 2022-11-23T02:33:46.5055201Z [ RUN ] StaticRuntime.autogen_scatter_src 2022-11-23T02:33:46.5171290Z [ OK ] StaticRuntime.autogen_scatter_src (11 ms) 2022-11-23T02:33:46.5171855Z [ RUN ] StaticRuntime.autogen_scatter_value 2022-11-23T02:33:46.5262183Z [ OK ] StaticRuntime.autogen_scatter_value (9 ms) 2022-11-23T02:33:46.5262621Z [ RUN ] StaticRuntime.autogen_scatter_reduce 2022-11-23T02:33:46.5364681Z [ OK ] StaticRuntime.autogen_scatter_reduce (10 ms) 2022-11-23T02:33:46.5365292Z [ RUN ] StaticRuntime.autogen_scatter_value_reduce 2022-11-23T02:33:46.5459678Z [ OK ] StaticRuntime.autogen_scatter_value_reduce (9 ms) 2022-11-23T02:33:46.5460101Z [ RUN ] StaticRuntime.autogen_scatter_add 2022-11-23T02:33:46.5561241Z [ OK ] StaticRuntime.autogen_scatter_add (10 ms) 2022-11-23T02:33:46.5561587Z [ RUN ] StaticRuntime.autogen_scatter_reduce_two 2022-11-23T02:33:46.5564586Z [W TensorAdvancedIndexing.cpp:1681] Warning: scatter_reduce() is in beta and the API may change at any time. (function operator()) 2022-11-23T02:33:46.7578293Z [ OK ] StaticRuntime.autogen_scatter_reduce_two (201 ms) 2022-11-23T02:33:46.7579168Z [ RUN ] StaticRuntime.autogen_eq_Scalar 2022-11-23T02:33:46.8586582Z [ OK ] StaticRuntime.autogen_eq_Scalar (100 ms) 2022-11-23T02:33:46.8587115Z [ RUN ] StaticRuntime.autogen_eq_Tensor 2022-11-23T02:33:46.9977847Z [ OK ] StaticRuntime.autogen_eq_Tensor (139 ms) 2022-11-23T02:33:46.9978412Z [ RUN ] StaticRuntime.autogen_bitwise_and_Tensor 2022-11-23T02:33:47.1537602Z [ OK ] StaticRuntime.autogen_bitwise_and_Tensor (155 ms) 2022-11-23T02:33:47.1538297Z [ RUN ] StaticRuntime.autogen_bitwise_or_Tensor 2022-11-23T02:33:47.3173513Z [ OK ] StaticRuntime.autogen_bitwise_or_Tensor (163 ms) 2022-11-23T02:33:47.3173904Z [ RUN ] StaticRuntime.autogen_bitwise_xor_Tensor 2022-11-23T02:33:47.4790121Z [ OK ] StaticRuntime.autogen_bitwise_xor_Tensor (161 ms) 2022-11-23T02:33:47.4790531Z [ RUN ] StaticRuntime.autogen_bitwise_left_shift_Tensor 2022-11-23T02:33:47.6765933Z [ OK ] StaticRuntime.autogen_bitwise_left_shift_Tensor (197 ms) 2022-11-23T02:33:47.6766326Z [ RUN ] StaticRuntime.autogen_bitwise_right_shift_Tensor 2022-11-23T02:33:47.8987508Z [ OK ] StaticRuntime.autogen_bitwise_right_shift_Tensor (222 ms) 2022-11-23T02:33:47.8987883Z [ RUN ] StaticRuntime.autogen_tril 2022-11-23T02:33:48.0210984Z [ OK ] StaticRuntime.autogen_tril (122 ms) 2022-11-23T02:33:48.0211387Z [ RUN ] StaticRuntime.autogen_triu 2022-11-23T02:33:48.1447368Z [ OK ] StaticRuntime.autogen_triu (123 ms) 2022-11-23T02:33:48.1447718Z [ RUN ] StaticRuntime.autogen_digamma 2022-11-23T02:33:48.2682371Z [ OK ] StaticRuntime.autogen_digamma (123 ms) 2022-11-23T02:33:48.2682724Z [ RUN ] StaticRuntime.autogen_lerp_Scalar 2022-11-23T02:33:48.4349454Z [ OK ] StaticRuntime.autogen_lerp_Scalar (166 ms) 2022-11-23T02:33:48.4349854Z [ RUN ] StaticRuntime.autogen_lerp_Tensor 2022-11-23T02:33:48.6421356Z [ OK ] StaticRuntime.autogen_lerp_Tensor (207 ms) 2022-11-23T02:33:48.6421695Z [ RUN ] StaticRuntime.autogen_addbmm 2022-11-23T02:33:48.7372711Z [ OK ] StaticRuntime.autogen_addbmm (95 ms) 2022-11-23T02:33:48.7373202Z [ RUN ] StaticRuntime.autogen_diag 2022-11-23T02:33:48.7463139Z [ OK ] StaticRuntime.autogen_diag (9 ms) 2022-11-23T02:33:48.7463506Z [ RUN ] StaticRuntime.autogen_cross 2022-11-23T02:33:48.7765883Z [ OK ] StaticRuntime.autogen_cross (30 ms) 2022-11-23T02:33:48.7766210Z [ RUN ] StaticRuntime.autogen_ne_Scalar 2022-11-23T02:33:48.8756284Z [ OK ] StaticRuntime.autogen_ne_Scalar (98 ms) 2022-11-23T02:33:48.8756676Z [ RUN ] StaticRuntime.autogen_ne_Tensor 2022-11-23T02:33:49.0140512Z [ OK ] StaticRuntime.autogen_ne_Tensor (138 ms) 2022-11-23T02:33:49.0140859Z [ RUN ] StaticRuntime.autogen_ge_Scalar 2022-11-23T02:33:49.1129604Z [ OK ] StaticRuntime.autogen_ge_Scalar (98 ms) 2022-11-23T02:33:49.2501941Z [ RUN ] StaticRuntime.autogen_ge_Tensor 2022-11-23T02:33:49.2502285Z [ OK ] StaticRuntime.autogen_ge_Tensor (137 ms) 2022-11-23T02:33:49.2502595Z [ RUN ] StaticRuntime.autogen_le_Scalar 2022-11-23T02:33:49.3493207Z [ OK ] StaticRuntime.autogen_le_Scalar (99 ms) 2022-11-23T02:33:49.3493539Z [ RUN ] StaticRuntime.autogen_le_Tensor 2022-11-23T02:33:49.4897777Z [ OK ] StaticRuntime.autogen_le_Tensor (140 ms) 2022-11-23T02:33:49.4898282Z [ RUN ] StaticRuntime.autogen_gt_Scalar 2022-11-23T02:33:49.5890244Z [ OK ] StaticRuntime.autogen_gt_Scalar (99 ms) 2022-11-23T02:33:49.5890801Z [ RUN ] StaticRuntime.autogen_gt_Tensor 2022-11-23T02:33:49.7300805Z [ OK ] StaticRuntime.autogen_gt_Tensor (141 ms) 2022-11-23T02:33:49.7301326Z [ RUN ] StaticRuntime.autogen_lt_Scalar 2022-11-23T02:33:49.8311041Z [ OK ] StaticRuntime.autogen_lt_Scalar (101 ms) 2022-11-23T02:33:49.8311561Z [ RUN ] StaticRuntime.autogen_lt_Tensor 2022-11-23T02:33:49.9712770Z [ OK ] StaticRuntime.autogen_lt_Tensor (140 ms) 2022-11-23T02:33:49.9713296Z [ RUN ] StaticRuntime.autogen_take 2022-11-23T02:33:50.0145068Z [ OK ] StaticRuntime.autogen_take (43 ms) 2022-11-23T02:33:50.0145623Z [ RUN ] StaticRuntime.autogen_take_along_dim 2022-11-23T02:33:50.1713532Z [ OK ] StaticRuntime.autogen_take_along_dim (156 ms) 2022-11-23T02:33:50.1713912Z [ RUN ] StaticRuntime.autogen_masked_select 2022-11-23T02:33:50.2652400Z [ OK ] StaticRuntime.autogen_masked_select (93 ms) 2022-11-23T02:33:50.2652757Z [ RUN ] StaticRuntime.autogen_gather 2022-11-23T02:33:50.2753773Z [ OK ] StaticRuntime.autogen_gather (10 ms) 2022-11-23T02:33:50.2754093Z [ RUN ] StaticRuntime.autogen_addcmul 2022-11-23T02:33:50.4834722Z [ OK ] StaticRuntime.autogen_addcmul (207 ms) 2022-11-23T02:33:50.4835051Z [ RUN ] StaticRuntime.autogen_addcdiv 2022-11-23T02:33:50.7014593Z [ OK ] StaticRuntime.autogen_addcdiv (217 ms) 2022-11-23T02:33:50.7014935Z [ RUN ] StaticRuntime.autogen_linalg_solve_triangular 2022-11-23T02:33:50.8989464Z [ OK ] StaticRuntime.autogen_linalg_solve_triangular (197 ms) 2022-11-23T02:33:50.8989908Z [ RUN ] StaticRuntime.autogen_cholesky_solve 2022-11-23T02:33:51.1118079Z [ OK ] StaticRuntime.autogen_cholesky_solve (212 ms) 2022-11-23T02:33:51.1118527Z [ RUN ] StaticRuntime.autogen_cholesky_inverse 2022-11-23T02:33:51.2795650Z [ OK ] StaticRuntime.autogen_cholesky_inverse (167 ms) 2022-11-23T02:33:51.2796116Z [ RUN ] StaticRuntime.autogen_orgqr 2022-11-23T02:33:51.4222934Z [ OK ] StaticRuntime.autogen_orgqr (142 ms) 2022-11-23T02:33:51.4223281Z [ RUN ] StaticRuntime.autogen_ormqr 2022-11-23T02:33:51.6161217Z [ OK ] StaticRuntime.autogen_ormqr (193 ms) 2022-11-23T02:33:51.6161945Z [ RUN ] StaticRuntime.autogen_lgamma 2022-11-23T02:33:51.7440567Z [ OK ] StaticRuntime.autogen_lgamma (127 ms) 2022-11-23T02:33:51.7441061Z [ RUN ] StaticRuntime.autogen_polygamma 2022-11-23T02:33:51.8885952Z [ OK ] StaticRuntime.autogen_polygamma (144 ms) 2022-11-23T02:33:51.8886469Z [ RUN ] StaticRuntime.autogen_erfinv 2022-11-23T02:33:52.0129369Z [ OK ] StaticRuntime.autogen_erfinv (124 ms) 2022-11-23T02:33:52.0129906Z [ RUN ] StaticRuntime.autogen_i0 2022-11-23T02:33:52.1336505Z [ OK ] StaticRuntime.autogen_i0 (120 ms) 2022-11-23T02:33:52.1336965Z [ RUN ] StaticRuntime.autogen_signbit 2022-11-23T02:33:52.2324719Z [ OK ] StaticRuntime.autogen_signbit (98 ms) 2022-11-23T02:33:52.2325056Z [ RUN ] StaticRuntime.autogen_atan2 2022-11-23T02:33:52.3992501Z [ OK ] StaticRuntime.autogen_atan2 (166 ms) 2022-11-23T02:33:52.3992856Z [ RUN ] StaticRuntime.autogen_arctan2 2022-11-23T02:33:52.5667622Z [ OK ] StaticRuntime.autogen_arctan2 (167 ms) 2022-11-23T02:33:52.5667965Z [ RUN ] StaticRuntime.autogen_histc 2022-11-23T02:33:52.6146944Z [ OK ] StaticRuntime.autogen_histc (47 ms) 2022-11-23T02:33:52.6147430Z [ RUN ] StaticRuntime.autogen_hypot 2022-11-23T02:33:52.7761850Z [ OK ] StaticRuntime.autogen_hypot (161 ms) 2022-11-23T02:33:52.7762340Z [ RUN ] StaticRuntime.autogen_igamma 2022-11-23T02:33:52.9451099Z [ OK ] StaticRuntime.autogen_igamma (168 ms) 2022-11-23T02:33:52.9451628Z [ RUN ] StaticRuntime.autogen_igammac 2022-11-23T02:33:53.1192781Z [ OK ] StaticRuntime.autogen_igammac (174 ms) 2022-11-23T02:33:53.1193351Z [ RUN ] StaticRuntime.autogen_nextafter 2022-11-23T02:33:53.2859194Z [ OK ] StaticRuntime.autogen_nextafter (166 ms) 2022-11-23T02:33:53.2859659Z [ RUN ] StaticRuntime.autogen_fmin 2022-11-23T02:33:53.4511097Z [ OK ] StaticRuntime.autogen_fmin (165 ms) 2022-11-23T02:33:53.4511447Z [ RUN ] StaticRuntime.autogen_fmax 2022-11-23T02:33:53.6138610Z [ OK ] StaticRuntime.autogen_fmax (162 ms) 2022-11-23T02:33:53.6139239Z [ RUN ] StaticRuntime.autogen_maximum 2022-11-23T02:33:53.7792001Z [ OK ] StaticRuntime.autogen_maximum (165 ms) 2022-11-23T02:33:53.7792417Z [ RUN ] StaticRuntime.autogen_minimum 2022-11-23T02:33:53.9448910Z [ OK ] StaticRuntime.autogen_minimum (165 ms) 2022-11-23T02:33:53.9449401Z [ RUN ] StaticRuntime.autogen_min_other 2022-11-23T02:33:54.1114571Z [ OK ] StaticRuntime.autogen_min_other (166 ms) 2022-11-23T02:33:54.1115107Z [ RUN ] StaticRuntime.autogen_quantile 2022-11-23T02:33:54.2450326Z [ OK ] StaticRuntime.autogen_quantile (133 ms) 2022-11-23T02:33:54.2450934Z [ RUN ] StaticRuntime.autogen_nanquantile 2022-11-23T02:33:54.3604558Z [ OK ] StaticRuntime.autogen_nanquantile (115 ms) 2022-11-23T02:33:54.3604927Z [ RUN ] StaticRuntime.autogen_msort 2022-11-23T02:33:54.4609465Z [ OK ] StaticRuntime.autogen_msort (100 ms) 2022-11-23T02:33:54.4609794Z [ RUN ] StaticRuntime.autogen_renorm 2022-11-23T02:33:54.5602666Z [ OK ] StaticRuntime.autogen_renorm (99 ms) 2022-11-23T02:33:54.5603056Z [ RUN ] StaticRuntime.autogen__convert_indices_from_coo_to_csr 2022-11-23T02:33:54.5662400Z [ OK ] StaticRuntime.autogen__convert_indices_from_coo_to_csr (6 ms) 2022-11-23T02:33:54.5662803Z [ RUN ] StaticRuntime.autogen__convert_indices_from_csr_to_coo 2022-11-23T02:33:54.5711199Z [ OK ] StaticRuntime.autogen__convert_indices_from_csr_to_coo (4 ms) 2022-11-23T02:33:54.5711615Z [ RUN ] StaticRuntime.autogen_mse_loss 2022-11-23T02:33:54.6372968Z [ OK ] StaticRuntime.autogen_mse_loss (66 ms) 2022-11-23T02:33:54.6373341Z [ RUN ] StaticRuntime.autogen_multi_margin_loss 2022-11-23T02:33:54.6438362Z [ OK ] StaticRuntime.autogen_multi_margin_loss (6 ms) 2022-11-23T02:33:54.6438781Z [ RUN ] StaticRuntime.autogen_multilabel_margin_loss 2022-11-23T02:33:54.6524990Z [ OK ] StaticRuntime.autogen_multilabel_margin_loss (8 ms) 2022-11-23T02:33:54.6525389Z [ RUN ] StaticRuntime.autogen_soft_margin_loss 2022-11-23T02:33:54.7220775Z [ OK ] StaticRuntime.autogen_soft_margin_loss (69 ms) 2022-11-23T02:33:54.7221103Z [ RUN ] StaticRuntime.autogen_elu 2022-11-23T02:33:54.8208999Z [ OK ] StaticRuntime.autogen_elu (98 ms) 2022-11-23T02:33:54.8209515Z [ RUN ] StaticRuntime.autogen_elu_backward 2022-11-23T02:33:54.9525775Z [ OK ] StaticRuntime.autogen_elu_backward (131 ms) 2022-11-23T02:33:54.9526308Z [ RUN ] StaticRuntime.autogen_glu 2022-11-23T02:33:55.0222520Z [ OK ] StaticRuntime.autogen_glu (69 ms) 2022-11-23T02:33:55.0223052Z [ RUN ] StaticRuntime.autogen_hardsigmoid 2022-11-23T02:33:55.1216537Z [ OK ] StaticRuntime.autogen_hardsigmoid (99 ms) 2022-11-23T02:33:55.1217336Z [ RUN ] StaticRuntime.autogen_hardsigmoid_backward 2022-11-23T02:33:55.2554833Z [ OK ] StaticRuntime.autogen_hardsigmoid_backward (133 ms) 2022-11-23T02:33:55.2555448Z [ RUN ] StaticRuntime.autogen_hardtanh 2022-11-23T02:33:55.3407136Z [ OK ] StaticRuntime.autogen_hardtanh (85 ms) 2022-11-23T02:33:55.3407671Z [ RUN ] StaticRuntime.autogen_hardswish 2022-11-23T02:33:55.4410917Z [ OK ] StaticRuntime.autogen_hardswish (100 ms) 2022-11-23T02:33:55.4411465Z [ RUN ] StaticRuntime.autogen_leaky_relu_backward 2022-11-23T02:33:55.5738139Z [ OK ] StaticRuntime.autogen_leaky_relu_backward (132 ms) 2022-11-23T02:33:55.5738702Z [ RUN ] StaticRuntime.autogen_log_sigmoid 2022-11-23T02:33:55.6734602Z [ OK ] StaticRuntime.autogen_log_sigmoid (99 ms) 2022-11-23T02:33:55.6735135Z [ RUN ] StaticRuntime.autogen_softplus 2022-11-23T02:33:55.7735685Z [ OK ] StaticRuntime.autogen_softplus (100 ms) 2022-11-23T02:33:55.7736212Z [ RUN ] StaticRuntime.autogen_softplus_backward 2022-11-23T02:33:55.9059262Z [ OK ] StaticRuntime.autogen_softplus_backward (132 ms) 2022-11-23T02:33:55.9059892Z [ RUN ] StaticRuntime.autogen_softshrink 2022-11-23T02:33:55.9919795Z [ OK ] StaticRuntime.autogen_softshrink (86 ms) 2022-11-23T02:33:55.9920327Z [ RUN ] StaticRuntime.autogen_softshrink_backward 2022-11-23T02:33:56.1079029Z [ OK ] StaticRuntime.autogen_softshrink_backward (115 ms) 2022-11-23T02:33:56.1079622Z [ RUN ] StaticRuntime.autogen_adaptive_max_pool2d_backward 2022-11-23T02:33:56.1175398Z [ OK ] StaticRuntime.autogen_adaptive_max_pool2d_backward (9 ms) 2022-11-23T02:33:56.1176016Z [ RUN ] StaticRuntime.autogen_adaptive_max_pool3d_backward 2022-11-23T02:33:56.1293463Z [ OK ] StaticRuntime.autogen_adaptive_max_pool3d_backward (11 ms) 2022-11-23T02:33:56.1294053Z [ RUN ] StaticRuntime.autogen_sigmoid_backward 2022-11-23T02:33:56.2617148Z [ OK ] StaticRuntime.autogen_sigmoid_backward (132 ms) 2022-11-23T02:33:56.2617752Z [ RUN ] StaticRuntime.autogen_tanh_backward 2022-11-23T02:33:56.3919545Z [ OK ] StaticRuntime.autogen_tanh_backward (130 ms) 2022-11-23T02:33:56.3920072Z [ RUN ] StaticRuntime.autogen_isposinf 2022-11-23T02:33:56.4749058Z [ OK ] StaticRuntime.autogen_isposinf (82 ms) 2022-11-23T02:33:56.4749702Z [ RUN ] StaticRuntime.autogen_isneginf 2022-11-23T02:33:56.5576571Z [ OK ] StaticRuntime.autogen_isneginf (82 ms) 2022-11-23T02:33:56.5577202Z [ RUN ] StaticRuntime.autogen_special_entr 2022-11-23T02:33:56.6560700Z [ OK ] StaticRuntime.autogen_special_entr (98 ms) 2022-11-23T02:33:56.6561261Z [ RUN ] StaticRuntime.autogen_special_ndtri 2022-11-23T02:33:56.7551228Z [ OK ] StaticRuntime.autogen_special_ndtri (99 ms) 2022-11-23T02:33:56.7551778Z [ RUN ] StaticRuntime.autogen_special_log_ndtr 2022-11-23T02:33:56.8538092Z [ OK ] StaticRuntime.autogen_special_log_ndtr (98 ms) 2022-11-23T02:33:56.8539187Z [ RUN ] StaticRuntime.autogen_special_expm1 2022-11-23T02:33:56.9556072Z [ OK ] StaticRuntime.autogen_special_expm1 (101 ms) 2022-11-23T02:33:56.9556689Z [ RUN ] StaticRuntime.autogen_special_exp2 2022-11-23T02:33:57.0501626Z [ OK ] StaticRuntime.autogen_special_exp2 (94 ms) 2022-11-23T02:33:57.0502169Z [ RUN ] StaticRuntime.autogen_special_psi 2022-11-23T02:33:57.1505974Z [ OK ] StaticRuntime.autogen_special_psi (100 ms) 2022-11-23T02:33:57.1506538Z [ RUN ] StaticRuntime.autogen_special_digamma 2022-11-23T02:33:57.2510576Z [ OK ] StaticRuntime.autogen_special_digamma (100 ms) 2022-11-23T02:33:57.2511298Z [ RUN ] StaticRuntime.autogen_special_gammaln 2022-11-23T02:33:57.3530654Z [ OK ] StaticRuntime.autogen_special_gammaln (102 ms) 2022-11-23T02:33:57.3531384Z [ RUN ] StaticRuntime.autogen_special_erf 2022-11-23T02:33:57.4572359Z [ OK ] StaticRuntime.autogen_special_erf (104 ms) 2022-11-23T02:33:57.4573071Z [ RUN ] StaticRuntime.autogen_special_erfc 2022-11-23T02:33:57.5589650Z [ OK ] StaticRuntime.autogen_special_erfc (101 ms) 2022-11-23T02:33:57.5590237Z [ RUN ] StaticRuntime.autogen_special_erfcx 2022-11-23T02:33:57.6586297Z [ OK ] StaticRuntime.autogen_special_erfcx (99 ms) 2022-11-23T02:33:57.6587010Z [ RUN ] StaticRuntime.autogen_special_erfinv 2022-11-23T02:33:57.7593898Z [ OK ] StaticRuntime.autogen_special_erfinv (100 ms) 2022-11-23T02:33:57.7594764Z [ RUN ] StaticRuntime.autogen_special_ndtr 2022-11-23T02:33:57.8624826Z [ OK ] StaticRuntime.autogen_special_ndtr (103 ms) 2022-11-23T02:33:57.8625410Z [ RUN ] StaticRuntime.autogen_special_xlog1py 2022-11-23T02:33:57.9947168Z [ OK ] StaticRuntime.autogen_special_xlog1py (132 ms) 2022-11-23T02:33:57.9947745Z [ RUN ] StaticRuntime.autogen_special_xlogy 2022-11-23T02:33:58.1280759Z [ OK ] StaticRuntime.autogen_special_xlogy (133 ms) 2022-11-23T02:33:58.1281287Z [ RUN ] StaticRuntime.autogen_special_zeta 2022-11-23T02:33:58.1353236Z [ OK ] StaticRuntime.autogen_special_zeta (7 ms) 2022-11-23T02:33:58.1353787Z [ RUN ] StaticRuntime.autogen_special_i0 2022-11-23T02:33:58.2327635Z [ OK ] StaticRuntime.autogen_special_i0 (97 ms) 2022-11-23T02:33:58.2328138Z [ RUN ] StaticRuntime.autogen_special_i0e 2022-11-23T02:33:58.3361866Z [ OK ] StaticRuntime.autogen_special_i0e (103 ms) 2022-11-23T02:33:58.3362404Z [ RUN ] StaticRuntime.autogen_special_i1 2022-11-23T02:33:58.4365757Z [ OK ] StaticRuntime.autogen_special_i1 (100 ms) 2022-11-23T02:33:58.4366279Z [ RUN ] StaticRuntime.autogen_special_i1e 2022-11-23T02:33:58.5361425Z [ OK ] StaticRuntime.autogen_special_i1e (99 ms) 2022-11-23T02:33:58.5362020Z [ RUN ] StaticRuntime.autogen_special_polygamma 2022-11-23T02:33:58.6497484Z [ OK ] StaticRuntime.autogen_special_polygamma (113 ms) 2022-11-23T02:33:58.6498213Z [ RUN ] StaticRuntime.autogen_special_expit 2022-11-23T02:33:58.7495094Z [ OK ] StaticRuntime.autogen_special_expit (99 ms) 2022-11-23T02:33:58.7495709Z [ RUN ] StaticRuntime.autogen_special_sinc 2022-11-23T02:33:58.8478844Z [ OK ] StaticRuntime.autogen_special_sinc (98 ms) 2022-11-23T02:33:58.8479409Z [ RUN ] StaticRuntime.autogen_special_round 2022-11-23T02:33:58.9444330Z [ OK ] StaticRuntime.autogen_special_round (96 ms) 2022-11-23T02:33:58.9444997Z [ RUN ] StaticRuntime.autogen_special_log1p 2022-11-23T02:33:59.0465353Z [ OK ] StaticRuntime.autogen_special_log1p (102 ms) 2022-11-23T02:33:59.0466226Z [ RUN ] StaticRuntime.autogen_special_gammainc 2022-11-23T02:33:59.1832125Z [ OK ] StaticRuntime.autogen_special_gammainc (136 ms) 2022-11-23T02:33:59.1832752Z [ RUN ] StaticRuntime.autogen_special_gammaincc 2022-11-23T02:33:59.3220398Z [ OK ] StaticRuntime.autogen_special_gammaincc (138 ms) 2022-11-23T02:33:59.3221103Z [ RUN ] StaticRuntime.autogen_special_multigammaln 2022-11-23T02:33:59.4251532Z [ OK ] StaticRuntime.autogen_special_multigammaln (103 ms) 2022-11-23T02:33:59.4252066Z [ RUN ] StaticRuntime.autogen_fft_fft 2022-11-23T02:33:59.4678844Z [ OK ] StaticRuntime.autogen_fft_fft (42 ms) 2022-11-23T02:33:59.4679346Z [ RUN ] StaticRuntime.autogen_fft_ifft 2022-11-23T02:33:59.5105641Z [ OK ] StaticRuntime.autogen_fft_ifft (42 ms) 2022-11-23T02:33:59.5106162Z [ RUN ] StaticRuntime.autogen_fft_rfft 2022-11-23T02:33:59.5529286Z [ OK ] StaticRuntime.autogen_fft_rfft (42 ms) 2022-11-23T02:33:59.5530013Z [ RUN ] StaticRuntime.autogen_fft_irfft 2022-11-23T02:33:59.5948872Z [ OK ] StaticRuntime.autogen_fft_irfft (41 ms) 2022-11-23T02:33:59.5949665Z [ RUN ] StaticRuntime.autogen_fft_hfft 2022-11-23T02:33:59.6392647Z [ OK ] StaticRuntime.autogen_fft_hfft (44 ms) 2022-11-23T02:33:59.6393330Z [ RUN ] StaticRuntime.autogen_fft_ihfft 2022-11-23T02:33:59.6821082Z [ OK ] StaticRuntime.autogen_fft_ihfft (42 ms) 2022-11-23T02:33:59.6821623Z [ RUN ] StaticRuntime.autogen_linalg_cross 2022-11-23T02:33:59.7095197Z [ OK ] StaticRuntime.autogen_linalg_cross (27 ms) 2022-11-23T02:33:59.7095710Z [ RUN ] StaticRuntime.autogen_linalg_det 2022-11-23T02:33:59.7519533Z [ OK ] StaticRuntime.autogen_linalg_det (42 ms) 2022-11-23T02:33:59.7520086Z [ RUN ] StaticRuntime.autogen_linalg_matmul 2022-11-23T02:33:59.8818208Z [ OK ] StaticRuntime.autogen_linalg_matmul (129 ms) 2022-11-23T02:33:59.8818739Z [ RUN ] StaticRuntime.autogen_linalg_eigvals 2022-11-23T02:33:59.9507754Z [ OK ] StaticRuntime.autogen_linalg_eigvals (68 ms) 2022-11-23T02:33:59.9508444Z [ RUN ] StaticRuntime.autogen_linalg_inv 2022-11-23T02:34:00.0558772Z [ OK ] StaticRuntime.autogen_linalg_inv (105 ms) 2022-11-23T02:34:00.0559311Z [ RUN ] StaticRuntime.autogen_inverse 2022-11-23T02:34:00.1609289Z [ OK ] StaticRuntime.autogen_inverse (105 ms) 2022-11-23T02:34:00.1609785Z [ RUN ] StaticRuntime.autogen_inner 2022-11-23T02:34:01.4651695Z [ OK ] StaticRuntime.autogen_inner (1304 ms) 2022-11-23T02:34:01.4652174Z [ RUN ] StaticRuntime.autogen_outer 2022-11-23T02:34:01.4975889Z [ OK ] StaticRuntime.autogen_outer (32 ms) 2022-11-23T02:34:01.4976388Z [ RUN ] StaticRuntime.autogen_linalg_cond 2022-11-23T02:34:01.5456787Z [ OK ] StaticRuntime.autogen_linalg_cond (47 ms) 2022-11-23T02:34:01.5457331Z [ RUN ] StaticRuntime.autogen_linalg_solve 2022-11-23T02:34:01.6844916Z [ OK ] StaticRuntime.autogen_linalg_solve (138 ms) 2022-11-23T02:34:01.6845444Z [ RUN ] StaticRuntime.autogen_linalg_tensorinv 2022-11-23T02:34:03.6652062Z [ OK ] StaticRuntime.autogen_linalg_tensorinv (1980 ms) 2022-11-23T02:34:03.6652616Z [ RUN ] StaticRuntime.autogen_linalg_matrix_power 2022-11-23T02:34:03.7641595Z [ OK ] StaticRuntime.autogen_linalg_matrix_power (98 ms) 2022-11-23T02:34:03.7642208Z [ RUN ] StaticRuntime.autogen_view_as_real 2022-11-23T02:34:03.7816322Z [ OK ] StaticRuntime.autogen_view_as_real (17 ms) 2022-11-23T02:34:03.7816876Z [ RUN ] StaticRuntime.autogen_view_as_complex 2022-11-23T02:34:03.7837168Z [ OK ] StaticRuntime.autogen_view_as_complex (2 ms) 2022-11-23T02:34:03.7837716Z [ RUN ] StaticRuntime.autogen_real 2022-11-23T02:34:03.7904261Z [ OK ] StaticRuntime.autogen_real (6 ms) 2022-11-23T02:34:03.7904893Z [ RUN ] StaticRuntime.autogen_imag 2022-11-23T02:34:03.7974019Z [ OK ] StaticRuntime.autogen_imag (6 ms) 2022-11-23T02:34:03.7974692Z [ RUN ] StaticRuntime.autogen__conj 2022-11-23T02:34:03.8042150Z [ OK ] StaticRuntime.autogen__conj (6 ms) 2022-11-23T02:34:03.8042676Z [ RUN ] StaticRuntime.autogen_conj 2022-11-23T02:34:03.8110003Z [ OK ] StaticRuntime.autogen_conj (6 ms) 2022-11-23T02:34:03.8110568Z [ RUN ] StaticRuntime.autogen_resolve_conj 2022-11-23T02:34:03.8176207Z [ OK ] StaticRuntime.autogen_resolve_conj (6 ms) 2022-11-23T02:34:03.8176777Z [ RUN ] StaticRuntime.autogen_resolve_neg 2022-11-23T02:34:03.8243570Z [ OK ] StaticRuntime.autogen_resolve_neg (6 ms) 2022-11-23T02:34:03.8244135Z [ RUN ] StaticRuntime.autogen__neg_view 2022-11-23T02:34:03.8313558Z [ OK ] StaticRuntime.autogen__neg_view (6 ms) 2022-11-23T02:34:03.8314110Z [ RUN ] StaticRuntime.autogen_diagonal 2022-11-23T02:34:03.8349715Z [ OK ] StaticRuntime.autogen_diagonal (3 ms) 2022-11-23T02:34:03.8350334Z [ RUN ] StaticRuntime.autogen_linalg_diagonal 2022-11-23T02:34:03.8385944Z [ OK ] StaticRuntime.autogen_linalg_diagonal (3 ms) 2022-11-23T02:34:03.8386507Z [ RUN ] StaticRuntime.autogen_movedim_int 2022-11-23T02:34:03.8453961Z [ OK ] StaticRuntime.autogen_movedim_int (6 ms) 2022-11-23T02:34:03.8454539Z [ RUN ] StaticRuntime.autogen_moveaxis_int 2022-11-23T02:34:03.8522111Z [ OK ] StaticRuntime.autogen_moveaxis_int (6 ms) 2022-11-23T02:34:03.8522659Z [ RUN ] StaticRuntime.autogen_numpy_T 2022-11-23T02:34:03.8525545Z [W TensorShape.cpp:3523] Warning: The use of `x.T` on tensors of dimension other than 2 to reverse their shape is deprecated and it will throw an error in a future release. Consider `x.mT` to transpose batches of matrices or `x.permute(*torch.arange(x.ndim - 1, -1, -1))` to reverse the dimensions of a tensor. (function operator()) 2022-11-23T02:34:03.8592600Z [ OK ] StaticRuntime.autogen_numpy_T (7 ms) 2022-11-23T02:34:03.8593164Z [ RUN ] StaticRuntime.autogen_matrix_H 2022-11-23T02:34:03.8625602Z [ OK ] StaticRuntime.autogen_matrix_H (3 ms) 2022-11-23T02:34:03.8626124Z [ RUN ] StaticRuntime.autogen_mT 2022-11-23T02:34:03.8695577Z [ OK ] StaticRuntime.autogen_mT (6 ms) 2022-11-23T02:34:03.8696112Z [ RUN ] StaticRuntime.autogen_mH 2022-11-23T02:34:03.8764075Z [ OK ] StaticRuntime.autogen_mH (6 ms) 2022-11-23T02:34:03.8764610Z [ RUN ] StaticRuntime.autogen_adjoint 2022-11-23T02:34:03.8833618Z [ OK ] StaticRuntime.autogen_adjoint (6 ms) 2022-11-23T02:34:03.8834131Z [ RUN ] StaticRuntime.autogen_ravel 2022-11-23T02:34:03.8885331Z [ OK ] StaticRuntime.autogen_ravel (5 ms) 2022-11-23T02:34:03.8885872Z [ RUN ] StaticRuntime.autogen_t 2022-11-23T02:34:03.8918745Z [ OK ] StaticRuntime.autogen_t (3 ms) 2022-11-23T02:34:03.8919322Z [ RUN ] StaticRuntime.autogen_unsqueeze 2022-11-23T02:34:03.8989157Z [ OK ] StaticRuntime.autogen_unsqueeze (7 ms) 2022-11-23T02:34:03.8989713Z [ RUN ] StaticRuntime.autogen_view_as 2022-11-23T02:34:03.9070696Z [ OK ] StaticRuntime.autogen_view_as (8 ms) 2022-11-23T02:34:03.9071233Z [ RUN ] StaticRuntime.autogen_positive 2022-11-23T02:34:03.9136529Z [ OK ] StaticRuntime.autogen_positive (6 ms) 2022-11-23T02:34:03.9137112Z [ RUN ] StaticRuntime.autogen__autocast_to_reduced_precision 2022-11-23T02:34:03.9204316Z [ OK ] StaticRuntime.autogen__autocast_to_reduced_precision (6 ms) 2022-11-23T02:34:03.9204863Z [ RUN ] StaticRuntime.autogen__autocast_to_full_precision 2022-11-23T02:34:03.9271976Z [ OK ] StaticRuntime.autogen__autocast_to_full_precision (6 ms) 2022-11-23T02:34:03.9272360Z [ RUN ] StaticRuntime.autogen_swapaxes 2022-11-23T02:34:03.9338990Z [ OK ] StaticRuntime.autogen_swapaxes (6 ms) 2022-11-23T02:34:03.9339324Z [ RUN ] StaticRuntime.autogen_swapdims 2022-11-23T02:34:03.9406039Z [ OK ] StaticRuntime.autogen_swapdims (6 ms) 2022-11-23T02:34:03.9406375Z [ RUN ] StaticRuntime.autogen_unfold 2022-11-23T02:34:03.9553087Z [ OK ] StaticRuntime.autogen_unfold (14 ms) 2022-11-23T02:34:03.9553404Z [ RUN ] StaticRuntime.autogen_alias 2022-11-23T02:34:03.9619166Z [ OK ] StaticRuntime.autogen_alias (6 ms) 2022-11-23T02:34:03.9619564Z [----------] 430 tests from StaticRuntime (909474 ms total) 2022-11-23T02:34:03.9621508Z 2022-11-23T02:34:03.9622026Z [----------] 1 test from ProcessedNodeInputs 2022-11-23T02:34:03.9622679Z [ RUN ] ProcessedNodeInputs.Basic 2022-11-23T02:34:03.9623205Z [ OK ] ProcessedNodeInputs.Basic (0 ms) 2022-11-23T02:34:03.9623718Z [----------] 1 test from ProcessedNodeInputs (0 ms total) 2022-11-23T02:34:03.9623889Z 2022-11-23T02:34:03.9624040Z [----------] 8 tests from StaticModule 2022-11-23T02:34:03.9624308Z [ RUN ] StaticModule.ValueGroup 2022-11-23T02:34:03.9624615Z [ OK ] StaticModule.ValueGroup (0 ms) 2022-11-23T02:34:03.9625004Z [ RUN ] StaticModule.IsOptimizableContainerType_NonOptimizableInputs 2022-11-23T02:34:03.9631696Z [ OK ] StaticModule.IsOptimizableContainerType_NonOptimizableInputs (0 ms) 2022-11-23T02:34:03.9632342Z [ RUN ] StaticModule.IsOptimizableContainerType_WrongType 2022-11-23T02:34:03.9637915Z [ OK ] StaticModule.IsOptimizableContainerType_WrongType (0 ms) 2022-11-23T02:34:03.9638554Z [ RUN ] StaticModule.IsOptimizableContainerType_CanUseOutVariant 2022-11-23T02:34:03.9642724Z [ OK ] StaticModule.IsOptimizableContainerType_CanUseOutVariant (0 ms) 2022-11-23T02:34:03.9643216Z [ RUN ] StaticModule.RValueInputs 2022-11-23T02:34:03.9647452Z [ OK ] StaticModule.RValueInputs (0 ms) 2022-11-23T02:34:03.9648031Z [ RUN ] StaticModule.IncorrectTypesPassed 2022-11-23T02:34:03.9842837Z [ OK ] StaticModule.IncorrectTypesPassed (19 ms) 2022-11-23T02:34:03.9843374Z [ RUN ] StaticModule.TooManyArgs 2022-11-23T02:34:03.9927895Z [ OK ] StaticModule.TooManyArgs (8 ms) 2022-11-23T02:34:03.9928428Z [ RUN ] StaticModule.NotEnoughArgs 2022-11-23T02:34:04.0012549Z [ OK ] StaticModule.NotEnoughArgs (8 ms) 2022-11-23T02:34:04.0013159Z [----------] 8 tests from StaticModule (39 ms total) 2022-11-23T02:34:04.0013327Z 2022-11-23T02:34:04.0013486Z [----------] 3 tests from ProcessedNode 2022-11-23T02:34:04.0013958Z [ RUN ] ProcessedNode.VerifyNoMemoryOverlapWithImmutableInputsWithImmutableArguments 2022-11-23T02:34:04.0018543Z [ OK ] ProcessedNode.VerifyNoMemoryOverlapWithImmutableInputsWithImmutableArguments (0 ms) 2022-11-23T02:34:04.0019341Z [ RUN ] ProcessedNode.VerifyNoMemoryOverlapWithImmutableInputsWithInplaceOps 2022-11-23T02:34:04.0023482Z [ OK ] ProcessedNode.VerifyNoMemoryOverlapWithImmutableInputsWithInplaceOps (0 ms) 2022-11-23T02:34:04.0024144Z [ RUN ] ProcessedNode.VerifyNoMemoryOverlapWithOverlappingOutputs 2022-11-23T02:34:04.0026429Z [ OK ] ProcessedNode.VerifyNoMemoryOverlapWithOverlappingOutputs (0 ms) 2022-11-23T02:34:04.0027194Z [----------] 3 tests from ProcessedNode (1 ms total) 2022-11-23T02:34:04.0027355Z 2022-11-23T02:34:04.0027518Z [----------] 1 test from ProcessedFunction 2022-11-23T02:34:04.0027832Z [ RUN ] ProcessedFunction.ProcessedFunction 2022-11-23T02:34:04.0031951Z [ OK ] ProcessedFunction.ProcessedFunction (0 ms) 2022-11-23T02:34:04.0032614Z [----------] 1 test from ProcessedFunction (0 ms total) 2022-11-23T02:34:04.0032903Z 2022-11-23T02:34:04.0033160Z [----------] 5 tests from ManagedTensorRanges 2022-11-23T02:34:04.0033539Z [ RUN ] ManagedTensorRanges.NoAliases 2022-11-23T02:34:04.0033871Z [ OK ] ManagedTensorRanges.NoAliases (0 ms) 2022-11-23T02:34:04.0034349Z [ RUN ] ManagedTensorRanges.AliasExtendingLifetimes 2022-11-23T02:34:04.0034880Z [ OK ] ManagedTensorRanges.AliasExtendingLifetimes (0 ms) 2022-11-23T02:34:04.0035448Z [ RUN ] ManagedTensorRanges.LifetimeOverlap 2022-11-23T02:34:04.0035993Z [ OK ] ManagedTensorRanges.LifetimeOverlap (0 ms) 2022-11-23T02:34:04.0036670Z [ RUN ] ManagedTensorRanges.OverlappingLifetimesContainers 2022-11-23T02:34:04.0037459Z [ OK ] ManagedTensorRanges.OverlappingLifetimesContainers (0 ms) 2022-11-23T02:34:04.0038081Z [ RUN ] ManagedTensorRanges.OverlappingLifetimesOutputs 2022-11-23T02:34:04.0038760Z [ OK ] ManagedTensorRanges.OverlappingLifetimesOutputs (0 ms) 2022-11-23T02:34:04.0039391Z [----------] 5 tests from ManagedTensorRanges (0 ms total) 2022-11-23T02:34:04.0039650Z 2022-11-23T02:34:04.0040049Z [----------] 3 tests from AssignStorageToManagedTensors 2022-11-23T02:34:04.0040581Z [ RUN ] AssignStorageToManagedTensors.NoAliases 2022-11-23T02:34:04.0041031Z [ OK ] AssignStorageToManagedTensors.NoAliases (0 ms) 2022-11-23T02:34:04.0041719Z [ RUN ] AssignStorageToManagedTensors.Aliases 2022-11-23T02:34:04.0042107Z [ OK ] AssignStorageToManagedTensors.Aliases (0 ms) 2022-11-23T02:34:04.0042494Z [ RUN ] AssignStorageToManagedTensors.MultipleUnused 2022-11-23T02:34:04.0042895Z [ OK ] AssignStorageToManagedTensors.MultipleUnused (0 ms) 2022-11-23T02:34:04.0043312Z [----------] 3 tests from AssignStorageToManagedTensors (0 ms total) 2022-11-23T02:34:04.0043499Z 2022-11-23T02:34:04.0043703Z [----------] 2 tests from CreateOwnedRefsForSpecialValues 2022-11-23T02:34:04.0044125Z [ RUN ] CreateOwnedRefsForSpecialValues.TopLevel 2022-11-23T02:34:04.0044616Z [ OK ] CreateOwnedRefsForSpecialValues.TopLevel (0 ms) 2022-11-23T02:34:04.0045360Z [ RUN ] CreateOwnedRefsForSpecialValues.ValueFromOuterScope 2022-11-23T02:34:04.0045824Z [ OK ] CreateOwnedRefsForSpecialValues.ValueFromOuterScope (0 ms) 2022-11-23T02:34:04.0046255Z [----------] 2 tests from CreateOwnedRefsForSpecialValues (0 ms total) 2022-11-23T02:34:04.0046450Z 2022-11-23T02:34:04.0046617Z [----------] 1 test from ForceNonEmptyOutputs 2022-11-23T02:34:04.0047010Z [ RUN ] ForceNonEmptyOutputs.TwoSubBlocks 2022-11-23T02:34:04.0047393Z [ OK ] ForceNonEmptyOutputs.TwoSubBlocks (0 ms) 2022-11-23T02:34:04.0047925Z [----------] 1 test from ForceNonEmptyOutputs (0 ms total) 2022-11-23T02:34:04.0048387Z 2022-11-23T02:34:04.0048641Z [----------] 6 tests from EliminateExtraPermuteOps 2022-11-23T02:34:04.0049007Z [ RUN ] EliminateExtraPermuteOps.FusesSumCorrectly 2022-11-23T02:34:04.0049395Z [ OK ] EliminateExtraPermuteOps.FusesSumCorrectly (0 ms) 2022-11-23T02:34:04.0049807Z [ RUN ] EliminateExtraPermuteOps.DoesNotFuseSumWrongDim 2022-11-23T02:34:04.0050302Z [ OK ] EliminateExtraPermuteOps.DoesNotFuseSumWrongDim (0 ms) 2022-11-23T02:34:04.0050752Z [ RUN ] EliminateExtraPermuteOps.DoesNotFuseSumNonConstantDim 2022-11-23T02:34:04.0051659Z [ OK ] EliminateExtraPermuteOps.DoesNotFuseSumNonConstantDim (0 ms) 2022-11-23T02:34:04.0052150Z [ RUN ] EliminateExtraPermuteOps.FusesSoftmaxCorrectly 2022-11-23T02:34:04.0054746Z graph(%self : __torch__.m, 2022-11-23T02:34:04.0055070Z %x.1 : Tensor): 2022-11-23T02:34:04.0055457Z %9 : NoneType = prim::Constant() 2022-11-23T02:34:04.0055793Z %4 : int = prim::Constant[value=2]() # :3:33 2022-11-23T02:34:04.0056035Z %26 : int[] = prim::Constant[value=[0, 2, 1]]() 2022-11-23T02:34:04.0056252Z %27 : int[] = prim::Constant[value=[0, 2, 1]]() 2022-11-23T02:34:04.0056472Z %28 : int = prim::Constant[value=1]() 2022-11-23T02:34:04.0056695Z %29 : Tensor = aten::softmax(%x.1, %28, %9) 2022-11-23T02:34:04.0056913Z %16 : Tensor = aten::clone(%29, %9) # :6:15 2022-11-23T02:34:04.0057113Z return (%16) 2022-11-23T02:34:04.0057221Z 2022-11-23T02:34:04.0119934Z [ OK ] EliminateExtraPermuteOps.FusesSoftmaxCorrectly (6 ms) 2022-11-23T02:34:04.0120597Z [ RUN ] EliminateExtraPermuteOps.DoesNotFuseSoftmaxWrongPermuteDim 2022-11-23T02:34:04.0123859Z [ OK ] EliminateExtraPermuteOps.DoesNotFuseSoftmaxWrongPermuteDim (0 ms) 2022-11-23T02:34:04.0124520Z [ RUN ] EliminateExtraPermuteOps.DoesNotFuseSoftmaxWrongSoftmaxDim 2022-11-23T02:34:04.0127631Z [ OK ] EliminateExtraPermuteOps.DoesNotFuseSoftmaxWrongSoftmaxDim (0 ms) 2022-11-23T02:34:04.0128344Z [----------] 6 tests from EliminateExtraPermuteOps (8 ms total) 2022-11-23T02:34:04.0128576Z 2022-11-23T02:34:04.0128783Z [----------] 1 test from UseSplitAndSqueeze 2022-11-23T02:34:04.0129232Z [ RUN ] UseSplitAndSqueeze.Fusion 2022-11-23T02:34:04.0129719Z [ OK ] UseSplitAndSqueeze.Fusion (0 ms) 2022-11-23T02:34:04.0130135Z [----------] 1 test from UseSplitAndSqueeze (0 ms total) 2022-11-23T02:34:04.0130331Z 2022-11-23T02:34:04.0130589Z [----------] 2 tests from EliminateNoOpSlice 2022-11-23T02:34:04.0131006Z [ RUN ] EliminateNoOpSlice.IntegerStart 2022-11-23T02:34:04.0131457Z [ OK ] EliminateNoOpSlice.IntegerStart (0 ms) 2022-11-23T02:34:04.0131774Z [ RUN ] EliminateNoOpSlice.NoneStart 2022-11-23T02:34:04.0132100Z [ OK ] EliminateNoOpSlice.NoneStart (0 ms) 2022-11-23T02:34:04.0132449Z [----------] 2 tests from EliminateNoOpSlice (0 ms total) 2022-11-23T02:34:04.0132601Z 2022-11-23T02:34:04.0132775Z [----------] Global test environment tear-down 2022-11-23T02:34:04.0177222Z [==========] 463 tests from 12 test suites ran. (909525 ms total) 2022-11-23T02:34:04.0177515Z [ PASSED ] 463 tests. 2022-11-23T02:34:04.1072701Z + assert_git_not_dirty 2022-11-23T02:34:04.1073263Z + [[ parallelnative-linux-focal-py3.7-gcc7 != *rocm* ]] 2022-11-23T02:34:04.1073656Z + [[ parallelnative-linux-focal-py3.7-gcc7 != *xla* ]] 2022-11-23T02:34:04.1074829Z ++ git status --porcelain 2022-11-23T02:34:04.1898947Z + git_status= 2022-11-23T02:34:04.1899522Z + [[ -n '' ]] 2022-11-23T02:34:04.1899799Z + test_aot_compilation 2022-11-23T02:34:04.1900067Z + echo 'Testing Ahead of Time compilation' 2022-11-23T02:34:04.1900294Z Testing Ahead of Time compilation 2022-11-23T02:34:04.1900895Z + ln -sf /opt/conda/lib/python3.7/site-packages/torch/lib/libc10.so /opt/conda/lib/python3.7/site-packages/torch/bin 2022-11-23T02:34:04.1909658Z + ln -sf /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch.so /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_global_deps.so /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_python.so /opt/conda/lib/python3.7/site-packages/torch/lib/libtorchbind_test.so /opt/conda/lib/python3.7/site-packages/torch/bin 2022-11-23T02:34:04.1918841Z + TEST_REPORTS_DIR=test/test-reports/cpp-unittest/test_aot_compilation 2022-11-23T02:34:04.1919305Z + mkdir -p test/test-reports/cpp-unittest/test_aot_compilation 2022-11-23T02:34:04.1929407Z + '[' -f /opt/conda/lib/python3.7/site-packages/torch/bin/test_mobile_nnc ']' 2022-11-23T02:34:04.1929969Z + /opt/conda/lib/python3.7/site-packages/torch/bin/test_mobile_nnc --gtest_output=xml:test/test-reports/cpp-unittest/test_aot_compilation/test_mobile_nnc.xml 2022-11-23T02:34:04.4550978Z Note: Google Test filter = *-*_CUDA:*_MultiCUDA 2022-11-23T02:34:04.4551480Z [==========] Running 6 tests from 2 test suites. 2022-11-23T02:34:04.4551880Z [----------] Global test environment set-up. 2022-11-23T02:34:04.4552153Z [----------] 4 tests from Function 2022-11-23T02:34:04.4552432Z [ RUN ] Function.ExecuteSlowMul 2022-11-23T02:34:04.4745534Z [ OK ] Function.ExecuteSlowMul (19 ms) 2022-11-23T02:34:04.4746060Z [ RUN ] Function.Serialization 2022-11-23T02:34:04.4746372Z [ OK ] Function.Serialization (0 ms) 2022-11-23T02:34:04.4746662Z [ RUN ] Function.ValidInput 2022-11-23T02:34:04.4746929Z [ OK ] Function.ValidInput (0 ms) 2022-11-23T02:34:04.4747213Z [ RUN ] Function.InvalidInput 2022-11-23T02:34:04.4755006Z [ OK ] Function.InvalidInput (0 ms) 2022-11-23T02:34:04.4755368Z [----------] 4 tests from Function (20 ms total) 2022-11-23T02:34:04.4755576Z 2022-11-23T02:34:04.4755746Z [----------] 2 tests from MobileNNCRegistryTest 2022-11-23T02:34:04.4756066Z [ RUN ] MobileNNCRegistryTest.FindAndRun 2022-11-23T02:34:04.4756462Z [ OK ] MobileNNCRegistryTest.FindAndRun (0 ms) 2022-11-23T02:34:04.4756782Z [ RUN ] MobileNNCRegistryTest.NoKernel 2022-11-23T02:34:04.4757247Z [ OK ] MobileNNCRegistryTest.NoKernel (0 ms) 2022-11-23T02:34:04.4757646Z [----------] 2 tests from MobileNNCRegistryTest (0 ms total) 2022-11-23T02:34:04.4757818Z 2022-11-23T02:34:04.4758022Z [----------] Global test environment tear-down 2022-11-23T02:34:04.4758386Z [==========] 6 tests from 2 test suites ran. (20 ms total) 2022-11-23T02:34:04.4758667Z [ PASSED ] 6 tests. 2022-11-23T02:34:04.4758800Z 2022-11-23T02:34:04.4758923Z  YOU HAVE 1 DISABLED TEST 2022-11-23T02:34:04.4759046Z 2022-11-23T02:34:04.5371245Z + '[' -f /opt/conda/lib/python3.7/site-packages/torch/bin/aot_model_compiler_test ']' 2022-11-23T02:34:04.5371540Z + source test/mobile/nnc/test_aot_compile.sh 2022-11-23T02:34:04.5371791Z ++ set -e -o pipefail 2022-11-23T02:34:04.5375002Z +++ python -c 'import site; print(site.getsitepackages()[0])' 2022-11-23T02:34:04.5540043Z ++ TORCH_INSTALL_DIR=/opt/conda/lib/python3.7/site-packages/torch 2022-11-23T02:34:04.5540419Z ++ TORCH_BIN_DIR=/opt/conda/lib/python3.7/site-packages/torch/bin 2022-11-23T02:34:04.5543049Z +++ dirname test/mobile/nnc/test_aot_compile.sh 2022-11-23T02:34:04.5551498Z ++ CURRENT_DIR=test/mobile/nnc 2022-11-23T02:34:04.5551836Z ++ MODEL=aot_test_model.pt 2022-11-23T02:34:04.5552225Z ++ COMPILED_MODEL=aot_test_model.compiled.pt 2022-11-23T02:34:04.5552629Z ++ COMPILED_CODE=aot_test_model.compiled.ll 2022-11-23T02:34:04.5555074Z +++ mktemp -d -t build_XXX 2022-11-23T02:34:04.5590864Z ++ TMP_DIR=/tmp/build_yUc 2022-11-23T02:34:04.5591888Z + test_custom_script_ops 2022-11-23T02:34:04.5592470Z + [[ parallelnative-linux-focal-py3.7-gcc7 != *asan* ]] 2022-11-23T02:34:04.5593031Z + echo 'Testing custom script operators' 2022-11-23T02:34:04.5593264Z Testing custom script operators 2022-11-23T02:34:04.5593623Z + CUSTOM_OP_BUILD=/var/lib/jenkins/workspace/build/custom_test_artifacts/custom-op-build 2022-11-23T02:34:04.5593892Z + pushd test/custom_operator 2022-11-23T02:34:04.5594122Z ~/workspace/test/custom_operator ~/workspace 2022-11-23T02:34:04.5594493Z + cp -a /var/lib/jenkins/workspace/build/custom_test_artifacts/custom-op-build build 2022-11-23T02:34:04.6459964Z + python test_custom_ops.py -v 2022-11-23T02:34:05.8561695Z Test results will be stored in test-reports/python-unittest/test_custom_ops 2022-11-23T02:34:05.8571310Z 2022-11-23T02:34:05.8571457Z Running tests... 2022-11-23T02:34:05.8572500Z ---------------------------------------------------------------------- 2022-11-23T02:34:05.8610537Z test_calling_custom_op (__main__.TestCustomOperators) ... ok (0.004s) 2022-11-23T02:34:05.9060055Z test_calling_custom_op_inside_script_module (__main__.TestCustomOperators) ... ok (0.045s) 2022-11-23T02:34:05.9066561Z test_calling_custom_op_string (__main__.TestCustomOperators) ... ok (0.001s) 2022-11-23T02:34:05.9088711Z test_calling_custom_op_with_autograd (__main__.TestCustomOperators) ... /opt/conda/lib/python3.7/site-packages/torch/autograd/__init__.py:199: UserWarning: Using backward() with create_graph=True will create a reference cycle between the parameter and its gradient which can cause a memory leak. We recommend using autograd.grad when creating the graph to avoid this. If you have to use this function, make sure to reset the .grad fields of your parameters to None after use to break the cycle and avoid the leak. (Triggered internally at /var/lib/jenkins/workspace/torch/csrc/autograd/engine.cpp:1127.) 2022-11-23T02:34:05.9089578Z allow_unreachable=True, accumulate_grad=True) # Calls into the C++ engine to run the backward pass 2022-11-23T02:34:05.9101788Z ok (0.003s) 2022-11-23T02:34:05.9109922Z test_calling_custom_op_with_autograd_in_nograd_mode (__main__.TestCustomOperators) ... ok (0.001s) 2022-11-23T02:34:05.9113752Z test_custom_library_is_loaded (__main__.TestCustomOperators) ... ok (0.000s) 2022-11-23T02:34:05.9193922Z test_saving_and_loading_script_module_with_custom_op (__main__.TestCustomOperators) ... ok (0.008s) 2022-11-23T02:34:05.9194269Z 2022-11-23T02:34:05.9194653Z ---------------------------------------------------------------------- 2022-11-23T02:34:05.9195025Z Ran 7 tests in 0.062s 2022-11-23T02:34:05.9195212Z 2022-11-23T02:34:05.9197305Z OK 2022-11-23T02:34:05.9197409Z 2022-11-23T02:34:05.9197502Z Generating XML reports... 2022-11-23T02:34:05.9225847Z Generated XML report: test-reports/python-unittest/test_custom_ops/TEST-TestCustomOperators-20221123023405.xml 2022-11-23T02:34:06.1413409Z + python model.py --export-script-module=model.pt 2022-11-23T02:34:07.3901165Z + build/test_custom_ops ./model.pt 2022-11-23T02:34:07.6862491Z [W engine.cpp:1127] Warning: Using backward() with create_graph=True will create a reference cycle between the parameter and its gradient which can cause a memory leak. We recommend using autograd.grad when creating the graph to avoid this. If you have to use this function, make sure to reset the .grad fields of your parameters to None after use to break the cycle and avoid the leak. (function operator()) 2022-11-23T02:34:07.7460848Z ok 2022-11-23T02:34:07.8125674Z + popd 2022-11-23T02:34:07.8125944Z ~/workspace 2022-11-23T02:34:07.8126263Z + assert_git_not_dirty 2022-11-23T02:34:07.8126859Z + [[ parallelnative-linux-focal-py3.7-gcc7 != *rocm* ]] 2022-11-23T02:34:07.8127223Z + [[ parallelnative-linux-focal-py3.7-gcc7 != *xla* ]] 2022-11-23T02:34:07.8129040Z ++ git status --porcelain 2022-11-23T02:34:07.8951206Z + git_status= 2022-11-23T02:34:07.8951564Z + [[ -n '' ]] 2022-11-23T02:34:07.8951740Z + test_custom_backend 2022-11-23T02:34:07.8952177Z + [[ parallelnative-linux-focal-py3.7-gcc7 != *asan* ]] 2022-11-23T02:34:07.8952485Z + echo 'Testing custom backends' 2022-11-23T02:34:07.8952782Z Testing custom backends 2022-11-23T02:34:07.8953330Z + CUSTOM_BACKEND_BUILD=/var/lib/jenkins/workspace/build/custom_test_artifacts/custom-backend-build 2022-11-23T02:34:07.8953659Z + pushd test/custom_backend 2022-11-23T02:34:07.8953879Z ~/workspace/test/custom_backend ~/workspace 2022-11-23T02:34:07.8954315Z + cp -a /var/lib/jenkins/workspace/build/custom_test_artifacts/custom-backend-build build 2022-11-23T02:34:07.9674166Z + python test_custom_backend.py -v 2022-11-23T02:34:09.1718783Z Test results will be stored in test-reports/python-unittest/test_custom_backend 2022-11-23T02:34:09.1730293Z 2022-11-23T02:34:09.1730678Z Running tests... 2022-11-23T02:34:09.1731285Z ---------------------------------------------------------------------- 2022-11-23T02:34:09.1737989Z test_execute (__main__.TestCustomBackend) 2022-11-23T02:34:09.2320484Z Test execution using the custom backend. ... ok (0.059s) 2022-11-23T02:34:09.2329887Z test_save_load (__main__.TestCustomBackend) 2022-11-23T02:34:09.2519752Z Test that a lowered module can be executed correctly ... ok (0.020s) 2022-11-23T02:34:09.2521765Z 2022-11-23T02:34:09.2522274Z ---------------------------------------------------------------------- 2022-11-23T02:34:09.2522719Z Ran 2 tests in 0.079s 2022-11-23T02:34:09.2522927Z 2022-11-23T02:34:09.2523033Z OK 2022-11-23T02:34:09.2523190Z 2022-11-23T02:34:09.2523340Z Generating XML reports... 2022-11-23T02:34:09.2552483Z Generated XML report: test-reports/python-unittest/test_custom_backend/TEST-TestCustomBackend-20221123023409.xml 2022-11-23T02:34:09.4913369Z + python backend.py --export-module-to=model.pt 2022-11-23T02:34:10.7943834Z + build/test_custom_backend ./model.pt 2022-11-23T02:34:11.1012698Z Testing custom_backend 2022-11-23T02:34:11.1820040Z OK 2022-11-23T02:34:11.2462795Z + rm -f ./model.pt 2022-11-23T02:34:11.2514503Z + popd 2022-11-23T02:34:11.2514758Z ~/workspace 2022-11-23T02:34:11.2515045Z + assert_git_not_dirty 2022-11-23T02:34:11.2515693Z + [[ parallelnative-linux-focal-py3.7-gcc7 != *rocm* ]] 2022-11-23T02:34:11.2516096Z + [[ parallelnative-linux-focal-py3.7-gcc7 != *xla* ]] 2022-11-23T02:34:11.2518636Z ++ git status --porcelain 2022-11-23T02:34:11.3335433Z + git_status= 2022-11-23T02:34:11.3335933Z + [[ -n '' ]] 2022-11-23T02:34:11.3336287Z + test_torch_function_benchmark 2022-11-23T02:34:11.3336711Z + echo 'Testing __torch_function__ benchmarks' 2022-11-23T02:34:11.3336945Z Testing __torch_function__ benchmarks 2022-11-23T02:34:11.3337178Z + pushd benchmarks/overrides_benchmark 2022-11-23T02:34:11.3337426Z ~/workspace/benchmarks/overrides_benchmark ~/workspace 2022-11-23T02:34:11.3337708Z + python bench.py -n 1 -m 2 2022-11-23T02:34:12.4588180Z Type tensor had a minimum time of 0.024557113647460938 us and a standard deviation of 11.934470385313034 us. 2022-11-23T02:34:12.4588741Z Type SubTensor had a minimum time of 0.014781951904296875 us and a standard deviation of 0.0367520515283104 us. 2022-11-23T02:34:12.4589490Z Type WithTorchFunction had a minimum time of 0.007867813110351562 us and a standard deviation of 0.019724724552361295 us. 2022-11-23T02:34:12.4591123Z Type SubWithTorchFunction had a minimum time of 0.015974044799804688 us and a standard deviation of 0.014498516065941658 us. 2022-11-23T02:34:12.6430825Z + python pyspybench.py Tensor -n 1 2022-11-23T02:34:13.9650258Z + python pyspybench.py SubTensor -n 1 2022-11-23T02:34:15.1935317Z + python pyspybench.py WithTorchFunction -n 1 2022-11-23T02:34:16.4171227Z + python pyspybench.py SubWithTorchFunction -n 1 2022-11-23T02:34:17.6808957Z + popd 2022-11-23T02:34:17.6809391Z ~/workspace 2022-11-23T02:34:17.6809653Z + assert_git_not_dirty 2022-11-23T02:34:17.6810071Z + [[ parallelnative-linux-focal-py3.7-gcc7 != *rocm* ]] 2022-11-23T02:34:17.6810431Z + [[ parallelnative-linux-focal-py3.7-gcc7 != *xla* ]] 2022-11-23T02:34:17.6811780Z ++ git status --porcelain 2022-11-23T02:34:17.7643130Z + git_status= 2022-11-23T02:34:17.7643460Z + [[ -n '' ]] 2022-11-23T02:34:17.7730171Z Prepare all required actions 2022-11-23T02:34:17.7730482Z Getting action download info 2022-11-23T02:34:17.9477543Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2022-11-23T02:34:18.1554217Z ##[group]Run ./.github/actions/get-workflow-job-id 2022-11-23T02:34:18.1554427Z with: 2022-11-23T02:34:18.1554756Z github-token: *** 2022-11-23T02:34:18.1554928Z env: 2022-11-23T02:34:18.1555086Z GIT_DEFAULT_BRANCH: master 2022-11-23T02:34:18.1555435Z DOCKER_CONTAINER_ID: 3d816b21b60748116165bbfd8f1e5c023294e9d2a5f92780839387be6eab971d 2022-11-23T02:34:18.1555690Z ##[endgroup] 2022-11-23T02:34:18.1581021Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482 2022-11-23T02:34:18.1581344Z with: 2022-11-23T02:34:18.1581506Z shell: bash 2022-11-23T02:34:18.1581667Z timeout_minutes: 10 2022-11-23T02:34:18.1581844Z max_attempts: 5 2022-11-23T02:34:18.1582056Z retry_wait_seconds: 30 2022-11-23T02:34:18.1582424Z command: set -eux python3 -m pip install requests==2.26.0 GHA_WORKFLOW_JOB_ID=$(python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}") echo "job-id=${GHA_WORKFLOW_JOB_ID}" >> "${GITHUB_OUTPUT}" 2022-11-23T02:34:18.1582799Z polling_interval_seconds: 1 2022-11-23T02:34:18.1582995Z warning_on_retry: true 2022-11-23T02:34:18.1583181Z continue_on_error: false 2022-11-23T02:34:18.1583340Z env: 2022-11-23T02:34:18.1583510Z GIT_DEFAULT_BRANCH: master 2022-11-23T02:34:18.1583769Z DOCKER_CONTAINER_ID: 3d816b21b60748116165bbfd8f1e5c023294e9d2a5f92780839387be6eab971d 2022-11-23T02:34:18.1584123Z GITHUB_TOKEN: *** 2022-11-23T02:34:18.1584298Z ##[endgroup] 2022-11-23T02:34:18.5700811Z + python3 -m pip install requests==2.26.0 2022-11-23T02:34:19.4356351Z Defaulting to user installation because normal site-packages is not writeable 2022-11-23T02:34:19.4659787Z Requirement already satisfied: requests==2.26.0 in /home/ec2-user/.local/lib/python3.7/site-packages (2.26.0) 2022-11-23T02:34:19.4796412Z Requirement already satisfied: certifi>=2017.4.17 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (2022.9.24) 2022-11-23T02:34:19.4815328Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (1.26.12) 2022-11-23T02:34:19.4981303Z Requirement already satisfied: idna<4,>=2.5; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (3.4) 2022-11-23T02:34:19.5001899Z Requirement already satisfied: charset-normalizer~=2.0.0; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests==2.26.0) (2.0.12) 2022-11-23T02:34:19.8274930Z ++ python3 .github/scripts/get_workflow_job_id.py 3528293554 i-0be07ac23342829d8 2022-11-23T02:34:22.3904179Z + GHA_WORKFLOW_JOB_ID=9655064537 2022-11-23T02:34:22.3906041Z + echo job-id=9655064537 2022-11-23T02:34:22.5692126Z Command completed after 1 attempt(s). 2022-11-23T02:34:22.5799461Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2022-11-23T02:34:22.5799687Z kill "$MONITOR_SCRIPT_PID" 2022-11-23T02:34:22.5810940Z shell: 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(deflated 92%) 2022-11-23T02:34:23.0122313Z adding: test/profiler/profiler_utils_mock_events.json (deflated 87%) 2022-11-23T02:34:23.0123346Z adding: test/.pytorch-slow-tests.json (deflated 73%) 2022-11-23T02:34:23.0131778Z adding: test/.pytorch-disabled-tests.json (deflated 86%) 2022-11-23T02:34:23.0151450Z ##[group]Run # Remove any previous test reports if they exist 2022-11-23T02:34:23.0151751Z # Remove any previous test reports if they exist 2022-11-23T02:34:23.0151998Z rm -f test-reports-*.zip 2022-11-23T02:34:23.0152337Z zip -r "test-reports-${FILE_SUFFIX}.zip" test -i '*.xml' -i '*.csv' 2022-11-23T02:34:23.0163184Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-11-23T02:34:23.0163405Z env: 2022-11-23T02:34:23.0163572Z GIT_DEFAULT_BRANCH: master 2022-11-23T02:34:23.0163843Z DOCKER_CONTAINER_ID: 3d816b21b60748116165bbfd8f1e5c023294e9d2a5f92780839387be6eab971d 2022-11-23T02:34:23.0164152Z FILE_SUFFIX: test-default-2-2-linux.2xlarge_9655064537 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(deflated 88%) 2022-11-23T02:34:23.3835031Z adding: test/test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorConstHandling-20221123021631.xml (deflated 72%) 2022-11-23T02:34:23.3835986Z adding: test/test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorConverterTest-20221123021631.xml (deflated 73%) 2022-11-23T02:34:23.3837093Z adding: test/test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorOperatorInvariants-20221123021631.xml (deflated 60%) 2022-11-23T02:34:23.3838095Z adding: test/test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorPropTest-20221123021631.xml (deflated 45%) 2022-11-23T02:34:23.3838982Z adding: test/test-reports/python-unittest/test_fake_tensor/TEST-FakeTensorTest-20221123021631.xml (deflated 85%) 2022-11-23T02:34:23.3839860Z adding: test/test-reports/python-unittest/test_jit_disabled/TEST-TestJitDisabled-20221123021634.xml (deflated 61%) 2022-11-23T02:34:23.3840887Z adding: 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test/test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestRNGExtension-20221123021701.xml (deflated 41%) 2022-11-23T02:34:23.3849443Z adding: test/test-reports/python-unittest/test_cpp_extensions_aot_no_ninja/TEST-TestTorchLibrary-20221123021701.xml (deflated 42%) 2022-11-23T02:34:23.3892002Z adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-3bc85e72bd53ed6f.xml (deflated 95%) 2022-11-23T02:34:23.3944996Z adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-3a1927ef7991eb33.xml (deflated 95%) 2022-11-23T02:34:23.3950111Z adding: test/test-reports/python-pytest/inductor.test_torchinductor_opinfo/inductor.test_torchinductor_opinfo-65e37807b02348be.xml (deflated 70%) 2022-11-23T02:34:23.4031912Z adding: test/test-reports/python-pytest/test_ops_gradients/test_ops_gradients-0030d15ed559b4f3.xml (deflated 96%) 2022-11-23T02:34:23.4103716Z adding: test/test-reports/python-pytest/test_ops_gradients/test_ops_gradients-f6a660d760a67d03.xml (deflated 96%) 2022-11-23T02:34:23.4113880Z adding: test/test-reports/python-pytest/test_ops_gradients/test_ops_gradients-443782128f837a4d.xml (deflated 91%) 2022-11-23T02:34:23.4126284Z adding: test/test-reports/cpp-unittest/test_libtorch/test_jit.xml (deflated 92%) 2022-11-23T02:34:23.4134149Z adding: test/test-reports/cpp-unittest/test_libtorch/test_lazy.xml (deflated 93%) 2022-11-23T02:34:23.4151094Z adding: test/test-reports/cpp-unittest/test_libtorch/test_api.xml (deflated 92%) 2022-11-23T02:34:23.4164802Z adding: test/test-reports/cpp-unittest/test_libtorch/test_tensorexpr.xml (deflated 92%) 2022-11-23T02:34:23.4172659Z adding: test/test-reports/cpp-unittest/test_libtorch/static_runtime_test.xml (deflated 90%) 2022-11-23T02:34:23.4173491Z adding: test/test-reports/cpp-unittest/test_aot_compilation/test_mobile_nnc.xml (deflated 75%) 2022-11-23T02:34:23.4195313Z ##[group]Run # Remove any previous test reports if they exist 2022-11-23T02:34:23.4195670Z # Remove any previous test reports if they exist 2022-11-23T02:34:23.4195892Z rm -f usage-log-*.zip 2022-11-23T02:34:23.4196171Z # this workflow is also run in bazel build test, but we dont generate usage reports for it 2022-11-23T02:34:23.4196465Z # so check to see if the file exists first 2022-11-23T02:34:23.4196692Z if [ -f 'usage_log.txt' ]; then 2022-11-23T02:34:23.4196925Z  zip "usage-log-${FILE_SUFFIX}.zip" 'usage_log.txt' 2022-11-23T02:34:23.4197138Z fi 2022-11-23T02:34:23.4208206Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-11-23T02:34:23.4208409Z env: 2022-11-23T02:34:23.4208587Z GIT_DEFAULT_BRANCH: master 2022-11-23T02:34:23.4208861Z DOCKER_CONTAINER_ID: 3d816b21b60748116165bbfd8f1e5c023294e9d2a5f92780839387be6eab971d 2022-11-23T02:34:23.4209157Z FILE_SUFFIX: test-default-2-2-linux.2xlarge_9655064537 2022-11-23T02:34:23.4209381Z ##[endgroup] 2022-11-23T02:34:23.4884472Z adding: usage_log.txt (deflated 98%) 2022-11-23T02:34:23.4920345Z ##[group]Run seemethere/upload-artifact-s3@v5 2022-11-23T02:34:23.4920566Z with: 2022-11-23T02:34:23.4920757Z s3-prefix: pytorch/pytorch/3528293554/1/artifact 2022-11-23T02:34:23.4920977Z retention-days: 14 2022-11-23T02:34:23.4921170Z if-no-files-found: warn 2022-11-23T02:34:23.4921353Z path: test-jsons-*.zip 2022-11-23T02:34:23.4921535Z name: artifact 2022-11-23T02:34:23.4921719Z s3-bucket: gha-artifacts 2022-11-23T02:34:23.4921908Z region: us-east-1 2022-11-23T02:34:23.4922059Z env: 2022-11-23T02:34:23.4922229Z GIT_DEFAULT_BRANCH: master 2022-11-23T02:34:23.4922493Z DOCKER_CONTAINER_ID: 3d816b21b60748116165bbfd8f1e5c023294e9d2a5f92780839387be6eab971d 2022-11-23T02:34:23.4922723Z ##[endgroup] 2022-11-23T02:34:23.8969363Z NOTE: s3-prefix specified, ignoring name parameter 2022-11-23T02:34:23.8969782Z With the provided path, there will be 1 file uploaded 2022-11-23T02:34:23.8970057Z Uploading to s3 prefix: pytorch/pytorch/3528293554/1/artifact 2022-11-23T02:34:23.9026631Z Starting upload of test-jsons-test-default-2-2-linux.2xlarge_9655064537.zip 2022-11-23T02:34:24.0498036Z Finished upload of test-jsons-test-default-2-2-linux.2xlarge_9655064537.zip 2022-11-23T02:34:24.0638525Z ##[group]Run seemethere/upload-artifact-s3@v5 2022-11-23T02:34:24.0638741Z with: 2022-11-23T02:34:24.0638931Z s3-prefix: pytorch/pytorch/3528293554/1/artifact 2022-11-23T02:34:24.0639150Z retention-days: 14 2022-11-23T02:34:24.0639342Z if-no-files-found: error 2022-11-23T02:34:24.0639531Z path: test-reports-*.zip 2022-11-23T02:34:24.0639712Z name: artifact 2022-11-23T02:34:24.0639888Z s3-bucket: gha-artifacts 2022-11-23T02:34:24.0640062Z region: us-east-1 2022-11-23T02:34:24.0640224Z env: 2022-11-23T02:34:24.0640391Z GIT_DEFAULT_BRANCH: master 2022-11-23T02:34:24.0640723Z DOCKER_CONTAINER_ID: 3d816b21b60748116165bbfd8f1e5c023294e9d2a5f92780839387be6eab971d 2022-11-23T02:34:24.0640971Z ##[endgroup] 2022-11-23T02:34:24.3976364Z NOTE: s3-prefix specified, ignoring name parameter 2022-11-23T02:34:24.3976875Z With the provided path, there will be 1 file uploaded 2022-11-23T02:34:24.3977332Z Uploading to s3 prefix: pytorch/pytorch/3528293554/1/artifact 2022-11-23T02:34:24.3985642Z Starting upload of test-reports-test-default-2-2-linux.2xlarge_9655064537.zip 2022-11-23T02:34:24.5908349Z Finished upload of test-reports-test-default-2-2-linux.2xlarge_9655064537.zip 2022-11-23T02:34:24.6046628Z ##[group]Run seemethere/upload-artifact-s3@v5 2022-11-23T02:34:24.6046851Z with: 2022-11-23T02:34:24.6047040Z s3-prefix: pytorch/pytorch/3528293554/1/artifact 2022-11-23T02:34:24.6047262Z retention-days: 14 2022-11-23T02:34:24.6047460Z if-no-files-found: ignore 2022-11-23T02:34:24.6047645Z path: usage-log-*.zip 2022-11-23T02:34:24.6047828Z name: artifact 2022-11-23T02:34:24.6048022Z s3-bucket: gha-artifacts 2022-11-23T02:34:24.6048198Z region: us-east-1 2022-11-23T02:34:24.6048360Z env: 2022-11-23T02:34:24.6048528Z GIT_DEFAULT_BRANCH: master 2022-11-23T02:34:24.6048868Z DOCKER_CONTAINER_ID: 3d816b21b60748116165bbfd8f1e5c023294e9d2a5f92780839387be6eab971d 2022-11-23T02:34:24.6049120Z ##[endgroup] 2022-11-23T02:34:24.9407126Z NOTE: s3-prefix specified, ignoring name parameter 2022-11-23T02:34:24.9407596Z With the provided path, there will be 1 file uploaded 2022-11-23T02:34:24.9408087Z Uploading to s3 prefix: pytorch/pytorch/3528293554/1/artifact 2022-11-23T02:34:24.9414723Z Starting upload of usage-log-test-default-2-2-linux.2xlarge_9655064537.zip 2022-11-23T02:34:25.1016270Z Finished upload of usage-log-test-default-2-2-linux.2xlarge_9655064537.zip 2022-11-23T02:34:25.1161896Z ##[group]Run # shellcheck disable=SC2156 2022-11-23T02:34:25.1162294Z # shellcheck disable=SC2156 2022-11-23T02:34:25.1162740Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2022-11-23T02:34:25.1177925Z shell: /usr/bin/bash -e {0} 2022-11-23T02:34:25.1178249Z env: 2022-11-23T02:34:25.1178536Z GIT_DEFAULT_BRANCH: master 2022-11-23T02:34:25.1179153Z DOCKER_CONTAINER_ID: 3d816b21b60748116165bbfd8f1e5c023294e9d2a5f92780839387be6eab971d 2022-11-23T02:34:25.1179564Z ##[endgroup] 2022-11-23T02:34:26.8961434Z GNU gdb (Ubuntu 9.2-0ubuntu1~20.04.1) 9.2 2022-11-23T02:34:26.8961917Z Copyright (C) 2020 Free Software Foundation, Inc. 2022-11-23T02:34:26.8962490Z License GPLv3+: GNU GPL version 3 or later 2022-11-23T02:34:26.8962808Z This is free software: you are free to change and redistribute it. 2022-11-23T02:34:26.8963128Z There is NO WARRANTY, to the extent permitted by law. 2022-11-23T02:34:26.8963391Z Type "show copying" and "show warranty" for details. 2022-11-23T02:34:26.8963695Z This GDB was configured as "x86_64-linux-gnu". 2022-11-23T02:34:26.8963938Z Type "show configuration" for configuration details. 2022-11-23T02:34:26.8964189Z For bug reporting instructions, please see: 2022-11-23T02:34:26.8964429Z . 2022-11-23T02:34:26.8964702Z Find the GDB manual and other documentation resources online at: 2022-11-23T02:34:26.8965008Z . 2022-11-23T02:34:26.8965290Z 2022-11-23T02:34:26.8965454Z For help, type "help". 2022-11-23T02:34:26.8965807Z Type "apropos word" to search for commands related to "word"... 2022-11-23T02:34:26.9649554Z Reading symbols from python... 2022-11-23T02:34:27.1931904Z 2022-11-23T02:34:27.1932433Z warning: core file may not match specified executable file. 2022-11-23T02:34:27.2898380Z [New LWP 4423] 2022-11-23T02:34:27.2898716Z [New LWP 4432] 2022-11-23T02:34:27.2899249Z [New LWP 4435] 2022-11-23T02:34:27.2899537Z [New LWP 4434] 2022-11-23T02:34:27.2899827Z [New LWP 4441] 2022-11-23T02:34:27.2900115Z [New LWP 4439] 2022-11-23T02:34:27.2900382Z [New LWP 4443] 2022-11-23T02:34:27.2900698Z [New LWP 4444] 2022-11-23T02:34:27.5522845Z [Thread debugging using libthread_db enabled] 2022-11-23T02:34:27.5523404Z Using host libthread_db library "/lib/x86_64-linux-gnu/libthread_db.so.1". 2022-11-23T02:34:31.3383723Z 50 ../sysdeps/unix/sysv/linux/raise.c: No such file or directory. 2022-11-23T02:34:31.3384490Z warning: File "/var/lib/jenkins/workspace/.gdbinit" auto-loading has been declined by your `auto-load safe-path' set to "$debugdir:$datadir/auto-load". 2022-11-23T02:34:31.3385004Z Core was generated by `/opt/conda/bin/python -bb -c from multiprocessing.spawn import spawn_main; spaw'. 2022-11-23T02:34:31.3385351Z Program terminated with signal SIGSEGV, Segmentation fault. 2022-11-23T02:34:31.3385661Z #0 raise (sig=) at ../sysdeps/unix/sysv/linux/raise.c:50 2022-11-23T02:34:31.3385934Z [Current thread is 1 (Thread 0x7fdaa938b340 (LWP 4423))] 2022-11-23T02:34:31.3468071Z To enable execution of this file add 2022-11-23T02:34:31.3468564Z add-auto-load-safe-path /var/lib/jenkins/workspace/.gdbinit 2022-11-23T02:34:31.3469086Z line to your configuration file "/var/lib/jenkins/.gdbinit". 2022-11-23T02:34:31.3469573Z To completely disable this security protection add 2022-11-23T02:34:31.3470106Z set auto-load safe-path / 2022-11-23T02:34:31.3470356Z line to your configuration file "/var/lib/jenkins/.gdbinit". 2022-11-23T02:34:31.3470635Z For more information about this security protection see the 2022-11-23T02:34:31.3470977Z "Auto-loading safe path" section in the GDB manual. E.g., run from the shell: 2022-11-23T02:34:31.3471276Z info "(gdb)Auto-loading safe path" 2022-11-23T02:34:31.3471531Z #0 raise (sig=) at ../sysdeps/unix/sysv/linux/raise.c:50 2022-11-23T02:34:31.3471893Z #1 0x00007fdaa10acd1b in handler_SIGSEGV(int, siginfo_t*, void*) () 2022-11-23T02:34:31.3472266Z from /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_python.so 2022-11-23T02:34:31.3544545Z #2 2022-11-23T02:34:31.3544995Z #3 0x00007fdaa8d77f17 in string_at (ptr=0x0, size=-1) 2022-11-23T02:34:31.3545453Z at /usr/local/src/conda/python-3.7.13/Modules/_ctypes/_ctypes.c:5382 2022-11-23T02:34:31.3545930Z #4 0x00007fdaa8d5d9dd in ffi_call_unix64 () 2022-11-23T02:34:31.3546254Z from /opt/conda/lib/python3.7/lib-dynload/../../libffi.so.7 2022-11-23T02:34:31.3551237Z #5 0x00007fdaa8d5d067 in ffi_call_int () 2022-11-23T02:34:31.3551852Z from /opt/conda/lib/python3.7/lib-dynload/../../libffi.so.7 2022-11-23T02:34:31.3556263Z #6 0x00007fdaa8d755ba in _call_function_pointer (argcount=2, 2022-11-23T02:34:31.3556776Z resmem=0x7ffe50bd3450, restype=, atypes=, 2022-11-23T02:34:31.3557221Z avalues=0x7ffe50bd3430, pProc=0x7fdaa8d77f00 , flags=4357) 2022-11-23T02:34:31.3557604Z at /usr/local/src/conda/python-3.7.13/Modules/_ctypes/callproc.c:816 2022-11-23T02:34:31.3559720Z #7 _ctypes_callproc (pProc=0x7fdaa8d77f00 , 2022-11-23T02:34:31.3560227Z argtuple=, flags=4357, argtypes=, 2022-11-23T02:34:31.3560596Z restype=0x55db8d889800, checker=0x0) 2022-11-23T02:34:31.3560935Z at /usr/local/src/conda/python-3.7.13/Modules/_ctypes/callproc.c:1188 2022-11-23T02:34:31.3562006Z #8 0x00007fdaa8d75ea4 in PyCFuncPtr_call (self=, 2022-11-23T02:34:31.3562442Z inargs=, kwds=0x0) 2022-11-23T02:34:31.3562933Z at /usr/local/src/conda/python-3.7.13/Modules/_ctypes/_ctypes.c:4025 2022-11-23T02:34:31.3575152Z #9 0x000055db8bd1416c in _PyObject_FastCallKeywords ( 2022-11-23T02:34:31.3575614Z callable=0x7fdaa875f1f0, stack=, nargs=, 2022-11-23T02:34:31.3576062Z kwnames=) 2022-11-23T02:34:31.3576343Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:199 2022-11-23T02:34:31.3589975Z #10 0x000055db8bd5c6b5 in call_function (kwnames=0x0, oparg=, 2022-11-23T02:34:31.3590337Z pp_stack=) 2022-11-23T02:34:31.3590825Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4619 2022-11-23T02:34:31.3592745Z #11 _PyEval_EvalFrameDefault (f=0x7fda4c9ad750, throwflag=) 2022-11-23T02:34:31.3593055Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3124 2022-11-23T02:34:31.3608375Z #12 0x000055db8bcade85 in PyEval_EvalFrameEx (throwflag=0, f=0x7fda4c9ad750) 2022-11-23T02:34:31.3608695Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547 2022-11-23T02:34:31.3619379Z #13 _PyEval_EvalCodeWithName (_co=, globals=, 2022-11-23T02:34:31.3619843Z locals=, args=, argcount=, 2022-11-23T02:34:31.3620192Z kwnames=0x0, kwargs=0x7fda4c9ad720, kwcount=0, kwstep=1, 2022-11-23T02:34:31.3620460Z defs=0x7fdaa876d428, defcount=1, kwdefs=0x0, closure=0x0, 2022-11-23T02:34:31.3620713Z name=0x7fdaa875c8f0, qualname=0x7fdaa875c8f0) 2022-11-23T02:34:31.3620983Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3930 2022-11-23T02:34:31.3634558Z #14 0x000055db8bccdc71 in _PyFunction_FastCallKeywords (func=, 2022-11-23T02:34:31.3635030Z stack=0x7fda4c9ad718, nargs=, kwnames=) 2022-11-23T02:34:31.3635326Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:433 2022-11-23T02:34:31.3637278Z #15 0x000055db8bd149c5 in call_function (pp_stack=0x7ffe50bd3a08, 2022-11-23T02:34:31.3637598Z oparg=, kwnames=) 2022-11-23T02:34:31.3637887Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4616 2022-11-23T02:34:31.3640367Z #16 0x000055db8bd5c702 in _PyEval_EvalFrameDefault (f=0x7fda4c9ad590, 2022-11-23T02:34:31.3641038Z throwflag=) 2022-11-23T02:34:31.3641344Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3093 2022-11-23T02:34:31.3642300Z #17 0x000055db8bcaf436 in PyEval_EvalFrameEx (throwflag=0, f=0x7fda4c9ad590) 2022-11-23T02:34:31.3642840Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547 2022-11-23T02:34:31.3643773Z #18 function_code_fastcall (globals=, nargs=, 2022-11-23T02:34:31.3644294Z args=, co=) 2022-11-23T02:34:31.3644653Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:283 2022-11-23T02:34:31.3646384Z #19 _PyFunction_FastCallDict (kwargs=0x0, nargs=, 2022-11-23T02:34:31.3646866Z args=, func=0x7fda4ca43e60) 2022-11-23T02:34:31.3647265Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:322 2022-11-23T02:34:31.3649737Z #20 _PyObject_FastCallDict (callable=0x7fda4ca43e60, args=, 2022-11-23T02:34:31.3650176Z nargs=, kwargs=0x0) 2022-11-23T02:34:31.3650651Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:98 2022-11-23T02:34:31.3665498Z #21 0x000055db8bd31371 in _PyObject_FastCall_Prepend (nargs=2, 2022-11-23T02:34:31.3665992Z args=0x7ffe50bd3b68, obj=, callable=0x7fda4ca43e60) 2022-11-23T02:34:31.3666459Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:868 2022-11-23T02:34:31.3668506Z #22 call_unbound (nargs=1, args=0x7ffe50bd3b68, self=, 2022-11-23T02:34:31.3668763Z func=0x7fda4ca43e60, unbound=1) 2022-11-23T02:34:31.3669025Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/typeobject.c:1503 2022-11-23T02:34:31.3670475Z #23 call_method (nargs=1, args=0x7ffe50bd3b68, name=0x55db8bec9d80 , 2022-11-23T02:34:31.3670865Z obj=) 2022-11-23T02:34:31.3671361Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/typeobject.c:1535 2022-11-23T02:34:31.3671668Z #24 slot_mp_subscript (self=, arg1=) 2022-11-23T02:34:31.3671965Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/typeobject.c:6170 2022-11-23T02:34:31.3687409Z #25 0x000055db8bd017b8 in PyObject_GetItem (o=0x7fdaa875b9d0, 2022-11-23T02:34:31.3687713Z key=) 2022-11-23T02:34:31.3687977Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/abstract.c:154 2022-11-23T02:34:31.3690099Z #26 0x000055db8bd58b3e in _PyEval_EvalFrameDefault (f=0x7fda4c99fb30, 2022-11-23T02:34:31.3690442Z throwflag=) 2022-11-23T02:34:31.3690694Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:1313 2022-11-23T02:34:31.3692042Z #27 0x000055db8bcae3fd in PyEval_EvalFrameEx (throwflag=0, f=0x7fda4c99fb30) 2022-11-23T02:34:31.3692403Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547 2022-11-23T02:34:31.3701777Z #28 _PyEval_EvalCodeWithName (_co=, globals=, 2022-11-23T02:34:31.3702315Z locals=, args=, argcount=, 2022-11-23T02:34:31.3702763Z kwnames=, kwargs=0x7fda4c99faf8, kwcount=0, kwstep=1, 2022-11-23T02:34:31.3703041Z defs=0x0, defcount=0, kwdefs=0x0, closure=0x7fda4ca02190, 2022-11-23T02:34:31.3703279Z name=0x7fda4f26e3f0, qualname=0x7fda4f26c450) 2022-11-23T02:34:31.3703670Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3930 2022-11-23T02:34:31.3704897Z #29 0x000055db8bccdcd3 in _PyFunction_FastCallKeywords (func=, 2022-11-23T02:34:31.3705469Z stack=0x7fda4c99faf0, nargs=, kwnames=) 2022-11-23T02:34:31.3705801Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:433 2022-11-23T02:34:31.3706524Z #30 0x000055db8bd58395 in call_function (kwnames=0x0, oparg=, 2022-11-23T02:34:31.3707086Z pp_stack=) 2022-11-23T02:34:31.3707427Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4616 2022-11-23T02:34:31.3708958Z #31 _PyEval_EvalFrameDefault (f=0x7fda4c99f960, throwflag=) 2022-11-23T02:34:31.3709271Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3124 2022-11-23T02:34:31.3711054Z #32 0x000055db8bcaea29 in PyEval_EvalFrameEx (throwflag=0, f=0x7fda4c99f960) 2022-11-23T02:34:31.3711375Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547 2022-11-23T02:34:31.3720599Z #33 _PyEval_EvalCodeWithName (_co=, globals=, 2022-11-23T02:34:31.3721105Z locals=, args=, argcount=, 2022-11-23T02:34:31.3721612Z kwnames=, kwargs=0x55db91b4b5a0, kwcount=0, kwstep=1, 2022-11-23T02:34:31.3721889Z defs=0x0, defcount=0, kwdefs=0x0, closure=0x0, name=0x7fda4f2ccc70, 2022-11-23T02:34:31.3722136Z qualname=0x7fda4f26fb20) 2022-11-23T02:34:31.3722397Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3930 2022-11-23T02:34:31.3723720Z #34 0x000055db8bccdcd3 in _PyFunction_FastCallKeywords (func=, 2022-11-23T02:34:31.3724062Z stack=0x55db91b4b590, nargs=, kwnames=) 2022-11-23T02:34:31.3724364Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:433 2022-11-23T02:34:31.3726612Z #35 0x000055db8bd149c5 in call_function (pp_stack=0x7ffe50bd4228, 2022-11-23T02:34:31.3727182Z oparg=, kwnames=) 2022-11-23T02:34:31.3727476Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4616 2022-11-23T02:34:31.3729131Z #36 0x000055db8bd58601 in _PyEval_EvalFrameDefault (f=0x55db91b4b330, 2022-11-23T02:34:31.3729552Z throwflag=) 2022-11-23T02:34:31.3730021Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3110 2022-11-23T02:34:31.3730981Z #37 0x000055db8bccccf8 in PyEval_EvalFrameEx (throwflag=0, f=0x55db91b4b330) 2022-11-23T02:34:31.3731513Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547 2022-11-23T02:34:31.3732043Z #38 function_code_fastcall (globals=, nargs=14, 2022-11-23T02:34:31.3732446Z args=, co=) 2022-11-23T02:34:31.3732724Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:283 2022-11-23T02:34:31.3734879Z #39 _PyFunction_FastCallDict (func=, args=0x7fdaa8ed5958, 2022-11-23T02:34:31.3735357Z nargs=14, kwargs=) 2022-11-23T02:34:31.3735716Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:322 2022-11-23T02:34:31.3739270Z #40 0x000055db8bd59c58 in do_call_core (kwdict=0x7fda4c99df00, 2022-11-23T02:34:31.3739553Z callargs=0x7fdaa8ed5940, func=0x7fda4f268440) 2022-11-23T02:34:31.3739841Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4645 2022-11-23T02:34:31.3741053Z #41 _PyEval_EvalFrameDefault (f=0x7fda4cdc1c20, throwflag=) 2022-11-23T02:34:31.3741351Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3191 2022-11-23T02:34:31.3743111Z #42 0x000055db8bccd8d7 in PyEval_EvalFrameEx (throwflag=0, f=0x7fda4cdc1c20) 2022-11-23T02:34:31.3743484Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547 2022-11-23T02:34:31.3744196Z #43 function_code_fastcall (globals=, nargs=, 2022-11-23T02:34:31.3744539Z args=, co=) 2022-11-23T02:34:31.3744862Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:283 2022-11-23T02:34:31.3746556Z #44 _PyFunction_FastCallKeywords (func=, stack=0x55db91a2b708, 2022-11-23T02:34:31.3747069Z nargs=, kwnames=) 2022-11-23T02:34:31.3747560Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:408 2022-11-23T02:34:31.3749314Z #45 0x000055db8bd149c5 in call_function (pp_stack=0x7ffe50bd45e8, 2022-11-23T02:34:31.3749661Z oparg=, kwnames=) 2022-11-23T02:34:31.3749934Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4616 2022-11-23T02:34:31.3752100Z #46 0x000055db8bd58601 in _PyEval_EvalFrameDefault (f=0x55db91a2b560, 2022-11-23T02:34:31.3752442Z throwflag=) 2022-11-23T02:34:31.3752707Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3110 2022-11-23T02:34:31.3754016Z #47 0x000055db8bccd8d7 in PyEval_EvalFrameEx (throwflag=0, f=0x55db91a2b560) 2022-11-23T02:34:31.3754445Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547 2022-11-23T02:34:31.3755110Z #48 function_code_fastcall (globals=, nargs=, 2022-11-23T02:34:31.3755447Z args=, co=) 2022-11-23T02:34:31.3755781Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:283 2022-11-23T02:34:31.3757391Z #49 _PyFunction_FastCallKeywords (func=, stack=0x55db8d7793c0, 2022-11-23T02:34:31.3757762Z nargs=, kwnames=) 2022-11-23T02:34:31.3758052Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:408 2022-11-23T02:34:31.3760343Z #50 0x000055db8bd149c5 in call_function (pp_stack=0x7ffe50bd47d8, 2022-11-23T02:34:31.3760690Z oparg=, kwnames=) 2022-11-23T02:34:31.3761008Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4616 2022-11-23T02:34:31.3763383Z #51 0x000055db8bd58601 in _PyEval_EvalFrameDefault (f=0x55db8d779230, 2022-11-23T02:34:31.3763701Z throwflag=) 2022-11-23T02:34:31.3764013Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3110 2022-11-23T02:34:31.3765631Z #52 0x000055db8bccd8d7 in PyEval_EvalFrameEx (throwflag=0, f=0x55db8d779230) 2022-11-23T02:34:31.3765935Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547 2022-11-23T02:34:31.3767045Z #53 function_code_fastcall (globals=, nargs=, 2022-11-23T02:34:31.3767322Z args=, co=) 2022-11-23T02:34:31.3767638Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:283 2022-11-23T02:34:31.3769439Z #54 _PyFunction_FastCallKeywords (func=, stack=0x55db8d7a1290, 2022-11-23T02:34:31.3769782Z nargs=, kwnames=) 2022-11-23T02:34:31.3770072Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:408 2022-11-23T02:34:31.3771358Z #55 0x000055db8bd58395 in call_function (kwnames=0x0, oparg=, 2022-11-23T02:34:31.3771772Z pp_stack=) 2022-11-23T02:34:31.3772264Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4616 2022-11-23T02:34:31.3774099Z #56 _PyEval_EvalFrameDefault (f=0x55db8d7a10e0, throwflag=) 2022-11-23T02:34:31.3774409Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3124 2022-11-23T02:34:31.3775761Z #57 0x000055db8bcade85 in PyEval_EvalFrameEx (throwflag=0, f=0x55db8d7a10e0) 2022-11-23T02:34:31.3776067Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547 2022-11-23T02:34:31.3786294Z #58 _PyEval_EvalCodeWithName (_co=, globals=, 2022-11-23T02:34:31.3786668Z locals=, args=, argcount=, 2022-11-23T02:34:31.3786974Z kwnames=0x7fdaa901ac48, kwargs=0x7fdaa91b77c0, kwcount=2, kwstep=1, 2022-11-23T02:34:31.3787256Z defs=0x7fdaa8ffe6a8, defcount=2, kwdefs=0x0, closure=0x0, 2022-11-23T02:34:31.3787508Z name=0x7fdaa9119670, qualname=0x7fdaa9119670) 2022-11-23T02:34:31.3787904Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3930 2022-11-23T02:34:31.3789314Z #59 0x000055db8bccdcd3 in _PyFunction_FastCallKeywords (func=, 2022-11-23T02:34:31.3789738Z stack=0x7fdaa91b77c0, nargs=, kwnames=) 2022-11-23T02:34:31.3790032Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:433 2022-11-23T02:34:31.3792103Z #60 0x000055db8bd149c5 in call_function (pp_stack=0x7ffe50bd4c70, 2022-11-23T02:34:31.3792449Z oparg=, kwnames=) 2022-11-23T02:34:31.3792737Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4616 2022-11-23T02:34:31.3795168Z #61 0x000055db8bd593a1 in _PyEval_EvalFrameDefault (f=0x7fdaa91b7650, 2022-11-23T02:34:31.3795439Z throwflag=) 2022-11-23T02:34:31.3795706Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3139 2022-11-23T02:34:31.3796891Z #62 0x000055db8bcade85 in PyEval_EvalFrameEx (throwflag=0, f=0x7fdaa91b7650) 2022-11-23T02:34:31.3797259Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547 2022-11-23T02:34:31.3807365Z #63 _PyEval_EvalCodeWithName (_co=, globals=, 2022-11-23T02:34:31.3807712Z locals=, args=, argcount=, 2022-11-23T02:34:31.3807991Z kwnames=0x0, kwargs=0x0, kwcount=0, kwstep=2, defs=0x0, defcount=0, 2022-11-23T02:34:31.3808261Z kwdefs=0x0, closure=0x0, name=0x0, qualname=0x0) 2022-11-23T02:34:31.3808537Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3930 2022-11-23T02:34:31.3814384Z #64 0x000055db8bcaf273 in PyEval_EvalCodeEx (closure=0x0, kwdefs=0x0, 2022-11-23T02:34:31.3814778Z defcount=0, defs=0x0, kwcount=0, kws=0x0, argcount=0, args=0x0, 2022-11-23T02:34:31.3815075Z locals=, globals=, _co=) 2022-11-23T02:34:31.3815374Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3959 2022-11-23T02:34:31.3815902Z #65 PyEval_EvalCode (co=, globals=, 2022-11-23T02:34:31.3816129Z locals=) 2022-11-23T02:34:31.3816451Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:524 2022-11-23T02:34:31.3833748Z #66 0x000055db8bdbcc82 in run_mod (mod=, 2022-11-23T02:34:31.3834091Z filename=, globals=0x7fdaa915ce60, locals=0x7fdaa915ce60, 2022-11-23T02:34:31.3834374Z flags=, arena=) 2022-11-23T02:34:31.3834658Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/pythonrun.c:1037 2022-11-23T02:34:31.3893971Z #67 0x000055db8bdc7c6a in PyRun_StringFlags ( 2022-11-23T02:34:31.3894455Z str=0x7fdaa90d1e50 "from multiprocessing.spawn import spawn_main; spawn_main(tracker_fd=11, pipe_handle=15)\n", start=257, globals=0x7fdaa915ce60, 2022-11-23T02:34:31.3894806Z locals=0x7fdaa915ce60, flags=0x7ffe50bd4ec0) 2022-11-23T02:34:31.3895089Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/pythonrun.c:961 2022-11-23T02:34:31.3897825Z #68 0x000055db8bdc7ccc in PyRun_SimpleStringFlags ( 2022-11-23T02:34:31.3898239Z command=0x7fdaa90d1e50 "from multiprocessing.spawn import spawn_main; spawn_main(tracker_fd=11, pipe_handle=15)\n", flags=0x7ffe50bd4ec0) 2022-11-23T02:34:31.3898987Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/pythonrun.c:455 2022-11-23T02:34:31.3899652Z #69 0x000055db8bdc7dc9 in pymain_run_command (cf=0x7ffe50bd4ec0, 2022-11-23T02:34:31.3899933Z command=) 2022-11-23T02:34:31.3900290Z at /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:420 2022-11-23T02:34:31.3901001Z #70 pymain_run_python (pymain=0x7ffe50bd4fd0) 2022-11-23T02:34:31.3901278Z at /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:2907 2022-11-23T02:34:31.3902868Z #71 pymain_main (pymain=0x7ffe50bd4fd0) 2022-11-23T02:34:31.3903264Z at /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:3460 2022-11-23T02:34:31.4048162Z #72 0x000055db8bdc818c in _Py_UnixMain (argc=, 2022-11-23T02:34:31.4048509Z argv=) 2022-11-23T02:34:31.4048751Z at /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:3495 2022-11-23T02:34:31.4052146Z #73 0x00007fdaa93b0083 in __libc_start_main (main=0x55db8bc86060
, 2022-11-23T02:34:31.4052602Z argc=5, argv=0x7ffe50bd5138, init=, fini=, 2022-11-23T02:34:31.4052874Z rtld_fini=, stack_end=0x7ffe50bd5128) 2022-11-23T02:34:31.4053226Z at ../csu/libc-start.c:308 2022-11-23T02:34:31.4053434Z #74 0x000055db8bd6d03a in _start () 2022-11-23T02:34:31.5684373Z GNU gdb (Ubuntu 9.2-0ubuntu1~20.04.1) 9.2 2022-11-23T02:34:31.5684849Z Copyright (C) 2020 Free Software Foundation, Inc. 2022-11-23T02:34:31.5685359Z License GPLv3+: GNU GPL version 3 or later 2022-11-23T02:34:31.5685817Z This is free software: you are free to change and redistribute it. 2022-11-23T02:34:31.5686192Z There is NO WARRANTY, to the extent permitted by law. 2022-11-23T02:34:31.5686451Z Type "show copying" and "show warranty" for details. 2022-11-23T02:34:31.5686762Z This GDB was configured as "x86_64-linux-gnu". 2022-11-23T02:34:31.5687002Z Type "show configuration" for configuration details. 2022-11-23T02:34:31.5687255Z For bug reporting instructions, please see: 2022-11-23T02:34:31.5687503Z . 2022-11-23T02:34:31.5687766Z Find the GDB manual and other documentation resources online at: 2022-11-23T02:34:31.5688029Z . 2022-11-23T02:34:31.5688178Z 2022-11-23T02:34:31.5688257Z For help, type "help". 2022-11-23T02:34:31.5688491Z Type "apropos word" to search for commands related to "word"... 2022-11-23T02:34:31.5979922Z Reading symbols from python... 2022-11-23T02:34:31.8288532Z 2022-11-23T02:34:31.8288980Z warning: core file may not match specified executable file. 2022-11-23T02:34:31.9175684Z [New LWP 4424] 2022-11-23T02:34:31.9175998Z [New LWP 4433] 2022-11-23T02:34:31.9176299Z [New LWP 4431] 2022-11-23T02:34:31.9176610Z [New LWP 4436] 2022-11-23T02:34:31.9176806Z [New LWP 4437] 2022-11-23T02:34:31.9176957Z [New LWP 4440] 2022-11-23T02:34:31.9177119Z [New LWP 4442] 2022-11-23T02:34:31.9177279Z [New LWP 4438] 2022-11-23T02:34:32.0985809Z [Thread debugging using libthread_db enabled] 2022-11-23T02:34:32.0986553Z Using host libthread_db library "/lib/x86_64-linux-gnu/libthread_db.so.1". 2022-11-23T02:34:35.5274668Z 50 ../sysdeps/unix/sysv/linux/raise.c: No such file or directory. 2022-11-23T02:34:35.5275470Z warning: File "/var/lib/jenkins/workspace/.gdbinit" auto-loading has been declined by your `auto-load safe-path' set to "$debugdir:$datadir/auto-load". 2022-11-23T02:34:35.5275982Z Core was generated by `/opt/conda/bin/python -bb -c from multiprocessing.spawn import spawn_main; spaw'. 2022-11-23T02:34:35.5276344Z Program terminated with signal SIGSEGV, Segmentation fault. 2022-11-23T02:34:35.5276638Z #0 raise (sig=) at ../sysdeps/unix/sysv/linux/raise.c:50 2022-11-23T02:34:35.5276898Z [Current thread is 1 (Thread 0x7f8ead252340 (LWP 4424))] 2022-11-23T02:34:35.5307058Z To enable execution of this file add 2022-11-23T02:34:35.5307501Z add-auto-load-safe-path /var/lib/jenkins/workspace/.gdbinit 2022-11-23T02:34:35.5308033Z line to your configuration file "/var/lib/jenkins/.gdbinit". 2022-11-23T02:34:35.5308657Z To completely disable this security protection add 2022-11-23T02:34:35.5309093Z set auto-load safe-path / 2022-11-23T02:34:35.5309606Z line to your configuration file "/var/lib/jenkins/.gdbinit". 2022-11-23T02:34:35.5309999Z For more information about this security protection see the 2022-11-23T02:34:35.5310361Z "Auto-loading safe path" section in the GDB manual. E.g., run from the shell: 2022-11-23T02:34:35.5310661Z info "(gdb)Auto-loading safe path" 2022-11-23T02:34:35.5311016Z #0 raise (sig=) at ../sysdeps/unix/sysv/linux/raise.c:50 2022-11-23T02:34:35.5311304Z #1 0x00007f8ea4f73d1b in handler_SIGSEGV(int, siginfo_t*, void*) () 2022-11-23T02:34:35.5311668Z from /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_python.so 2022-11-23T02:34:35.5372571Z #2 2022-11-23T02:34:35.5373089Z #3 0x00007f8eacc3ef17 in string_at (ptr=0x0, size=-1) 2022-11-23T02:34:35.5373582Z at /usr/local/src/conda/python-3.7.13/Modules/_ctypes/_ctypes.c:5382 2022-11-23T02:34:35.5374153Z #4 0x00007f8eacc249dd in ffi_call_unix64 () 2022-11-23T02:34:35.5374713Z from /opt/conda/lib/python3.7/lib-dynload/../../libffi.so.7 2022-11-23T02:34:35.5379532Z #5 0x00007f8eacc24067 in ffi_call_int () 2022-11-23T02:34:35.5379956Z from /opt/conda/lib/python3.7/lib-dynload/../../libffi.so.7 2022-11-23T02:34:35.5397751Z #6 0x00007f8eacc3c5ba in _call_function_pointer (argcount=2, 2022-11-23T02:34:35.5398276Z resmem=0x7ffeb93ac040, restype=, atypes=, 2022-11-23T02:34:35.5398748Z avalues=0x7ffeb93ac020, pProc=0x7f8eacc3ef00 , flags=4357) 2022-11-23T02:34:35.5399131Z at /usr/local/src/conda/python-3.7.13/Modules/_ctypes/callproc.c:816 2022-11-23T02:34:35.5401697Z #7 _ctypes_callproc (pProc=0x7f8eacc3ef00 , 2022-11-23T02:34:35.5402078Z argtuple=, flags=4357, argtypes=, 2022-11-23T02:34:35.5402336Z restype=0x559ceb678800, checker=0x0) 2022-11-23T02:34:35.5402659Z at /usr/local/src/conda/python-3.7.13/Modules/_ctypes/callproc.c:1188 2022-11-23T02:34:35.5404685Z #8 0x00007f8eacc3cea4 in PyCFuncPtr_call (self=, 2022-11-23T02:34:35.5405130Z inargs=, kwds=0x0) 2022-11-23T02:34:35.5405609Z at /usr/local/src/conda/python-3.7.13/Modules/_ctypes/_ctypes.c:4025 2022-11-23T02:34:35.5408490Z #9 0x0000559ce9ef716c in _PyObject_FastCallKeywords ( 2022-11-23T02:34:35.5408996Z callable=0x7f8eac6261f0, stack=, nargs=, 2022-11-23T02:34:35.5409384Z kwnames=) 2022-11-23T02:34:35.5409630Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:199 2022-11-23T02:34:35.5410863Z #10 0x0000559ce9f3f6b5 in call_function (kwnames=0x0, oparg=, 2022-11-23T02:34:35.5411308Z pp_stack=) 2022-11-23T02:34:35.5411739Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4619 2022-11-23T02:34:35.5413753Z #11 _PyEval_EvalFrameDefault (f=0x7f8e50875750, throwflag=) 2022-11-23T02:34:35.5414312Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3124 2022-11-23T02:34:35.5416252Z #12 0x0000559ce9e90e85 in PyEval_EvalFrameEx (throwflag=0, f=0x7f8e50875750) 2022-11-23T02:34:35.5416804Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547 2022-11-23T02:34:35.5427253Z #13 _PyEval_EvalCodeWithName (_co=, globals=, 2022-11-23T02:34:35.5427851Z locals=, args=, argcount=, 2022-11-23T02:34:35.5428236Z kwnames=0x0, kwargs=0x7f8e50875720, kwcount=0, kwstep=1, 2022-11-23T02:34:35.5428480Z defs=0x7f8eac634428, defcount=1, kwdefs=0x0, closure=0x0, 2022-11-23T02:34:35.5428729Z name=0x7f8eac6238f0, qualname=0x7f8eac6238f0) 2022-11-23T02:34:35.5429007Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3930 2022-11-23T02:34:35.5430909Z #14 0x0000559ce9eb0c71 in _PyFunction_FastCallKeywords (func=, 2022-11-23T02:34:35.5431340Z stack=0x7f8e50875718, nargs=, kwnames=) 2022-11-23T02:34:35.5431683Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:433 2022-11-23T02:34:35.5434127Z #15 0x0000559ce9ef79c5 in call_function (pp_stack=0x7ffeb93ac5f8, 2022-11-23T02:34:35.5434408Z oparg=, kwnames=) 2022-11-23T02:34:35.5434678Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4616 2022-11-23T02:34:35.5437020Z #16 0x0000559ce9f3f702 in _PyEval_EvalFrameDefault (f=0x7f8e50875590, 2022-11-23T02:34:35.5437318Z throwflag=) 2022-11-23T02:34:35.5437571Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3093 2022-11-23T02:34:35.5438879Z #17 0x0000559ce9e92436 in PyEval_EvalFrameEx (throwflag=0, f=0x7f8e50875590) 2022-11-23T02:34:35.5439224Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547 2022-11-23T02:34:35.5440173Z #18 function_code_fastcall (globals=, nargs=, 2022-11-23T02:34:35.5440499Z args=, co=) 2022-11-23T02:34:35.5440773Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:283 2022-11-23T02:34:35.5443010Z #19 _PyFunction_FastCallDict (kwargs=0x0, nargs=, 2022-11-23T02:34:35.5443265Z args=, func=0x7f8e5090be60) 2022-11-23T02:34:35.5443543Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:322 2022-11-23T02:34:35.5445987Z #20 _PyObject_FastCallDict (callable=0x7f8e5090be60, args=, 2022-11-23T02:34:35.5446254Z nargs=, kwargs=0x0) 2022-11-23T02:34:35.5446509Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:98 2022-11-23T02:34:35.5449815Z #21 0x0000559ce9f14371 in _PyObject_FastCall_Prepend (nargs=2, 2022-11-23T02:34:35.5450325Z args=0x7ffeb93ac758, obj=, callable=0x7f8e5090be60) 2022-11-23T02:34:35.5450754Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:868 2022-11-23T02:34:35.5452749Z #22 call_unbound (nargs=1, args=0x7ffeb93ac758, self=, 2022-11-23T02:34:35.5453054Z func=0x7f8e5090be60, unbound=1) 2022-11-23T02:34:35.5453327Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/typeobject.c:1503 2022-11-23T02:34:35.5455298Z #23 call_method (nargs=1, args=0x7ffeb93ac758, name=0x559cea0acd80 , 2022-11-23T02:34:35.5455564Z obj=) 2022-11-23T02:34:35.5455850Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/typeobject.c:1535 2022-11-23T02:34:35.5456156Z #24 slot_mp_subscript (self=, arg1=) 2022-11-23T02:34:35.5456450Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/typeobject.c:6170 2022-11-23T02:34:35.5458566Z #25 0x0000559ce9ee47b8 in PyObject_GetItem (o=0x7f8eac6229d0, 2022-11-23T02:34:35.5459076Z key=) 2022-11-23T02:34:35.5459463Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/abstract.c:154 2022-11-23T02:34:35.5462703Z #26 0x0000559ce9f3bb3e in _PyEval_EvalFrameDefault (f=0x7f8e50867b30, 2022-11-23T02:34:35.5463039Z throwflag=) 2022-11-23T02:34:35.5463303Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:1313 2022-11-23T02:34:35.5464530Z #27 0x0000559ce9e913fd in PyEval_EvalFrameEx (throwflag=0, f=0x7f8e50867b30) 2022-11-23T02:34:35.5464894Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547 2022-11-23T02:34:35.5474282Z #28 _PyEval_EvalCodeWithName (_co=, globals=, 2022-11-23T02:34:35.5474745Z locals=, args=, argcount=, 2022-11-23T02:34:35.5475034Z kwnames=, kwargs=0x7f8e50867af8, kwcount=0, kwstep=1, 2022-11-23T02:34:35.5475453Z defs=0x0, defcount=0, kwdefs=0x0, closure=0x7f8e5085bf10, 2022-11-23T02:34:35.5475697Z name=0x7f8e53131fb0, qualname=0x7f8e53133450) 2022-11-23T02:34:35.5475968Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3930 2022-11-23T02:34:35.5477638Z #29 0x0000559ce9eb0cd3 in _PyFunction_FastCallKeywords (func=, 2022-11-23T02:34:35.5478059Z stack=0x7f8e50867af0, nargs=, kwnames=) 2022-11-23T02:34:35.5478362Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:433 2022-11-23T02:34:35.5479783Z #30 0x0000559ce9f3b395 in call_function (kwnames=0x0, oparg=, 2022-11-23T02:34:35.5480111Z pp_stack=) 2022-11-23T02:34:35.5480379Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4616 2022-11-23T02:34:35.5482087Z #31 _PyEval_EvalFrameDefault (f=0x7f8e50867960, throwflag=) 2022-11-23T02:34:35.5482474Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3124 2022-11-23T02:34:35.5484046Z #32 0x0000559ce9e91a29 in PyEval_EvalFrameEx (throwflag=0, f=0x7f8e50867960) 2022-11-23T02:34:35.5484454Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547 2022-11-23T02:34:35.5493492Z #33 _PyEval_EvalCodeWithName (_co=, globals=, 2022-11-23T02:34:35.5494034Z locals=, args=, argcount=, 2022-11-23T02:34:35.5494528Z kwnames=, kwargs=0x559ceb5a8e80, kwcount=0, kwstep=1, 2022-11-23T02:34:35.5494819Z defs=0x0, defcount=0, kwdefs=0x0, closure=0x0, name=0x7f8e53194930, 2022-11-23T02:34:35.5495054Z qualname=0x7f8e53135bc0) 2022-11-23T02:34:35.5495296Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3930 2022-11-23T02:34:35.5496473Z #34 0x0000559ce9eb0cd3 in _PyFunction_FastCallKeywords (func=, 2022-11-23T02:34:35.5496829Z stack=0x559ceb5a8e70, nargs=, kwnames=) 2022-11-23T02:34:35.5497121Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:433 2022-11-23T02:34:35.5499412Z #35 0x0000559ce9ef79c5 in call_function (pp_stack=0x7ffeb93ace18, 2022-11-23T02:34:35.5499693Z oparg=, kwnames=) 2022-11-23T02:34:35.5499979Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4616 2022-11-23T02:34:35.5502245Z #36 0x0000559ce9f3b601 in _PyEval_EvalFrameDefault (f=0x559ceb5a8c10, 2022-11-23T02:34:35.5502498Z throwflag=) 2022-11-23T02:34:35.5502761Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3110 2022-11-23T02:34:35.5504158Z #37 0x0000559ce9eafcf8 in PyEval_EvalFrameEx (throwflag=0, f=0x559ceb5a8c10) 2022-11-23T02:34:35.5504495Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547 2022-11-23T02:34:35.5504875Z #38 function_code_fastcall (globals=, nargs=14, 2022-11-23T02:34:35.5505194Z args=, co=) 2022-11-23T02:34:35.5505452Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:283 2022-11-23T02:34:35.5508000Z #39 _PyFunction_FastCallDict (func=, args=0x7f8eacd9c958, 2022-11-23T02:34:35.5508271Z nargs=14, kwargs=) 2022-11-23T02:34:35.5508534Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:322 2022-11-23T02:34:35.5512762Z #40 0x0000559ce9f3cc58 in do_call_core (kwdict=0x7f8e50865eb0, 2022-11-23T02:34:35.5513029Z callargs=0x7f8eacd9c940, func=0x7f8e5312f440) 2022-11-23T02:34:35.5513307Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4645 2022-11-23T02:34:35.5514950Z #41 _PyEval_EvalFrameDefault (f=0x7f8e50c88c20, throwflag=) 2022-11-23T02:34:35.5515318Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3191 2022-11-23T02:34:35.5517406Z #42 0x0000559ce9eb08d7 in PyEval_EvalFrameEx (throwflag=0, f=0x7f8e50c88c20) 2022-11-23T02:34:35.5517845Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547 2022-11-23T02:34:35.5518907Z #43 function_code_fastcall (globals=, nargs=, 2022-11-23T02:34:35.5519190Z args=, co=) 2022-11-23T02:34:35.5519462Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:283 2022-11-23T02:34:35.5521184Z #44 _PyFunction_FastCallKeywords (func=, stack=0x559cef81ddf8, 2022-11-23T02:34:35.5521780Z nargs=, kwnames=) 2022-11-23T02:34:35.5522175Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:408 2022-11-23T02:34:35.5524118Z #45 0x0000559ce9ef79c5 in call_function (pp_stack=0x7ffeb93ad1d8, 2022-11-23T02:34:35.5524538Z oparg=, kwnames=) 2022-11-23T02:34:35.5525067Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4616 2022-11-23T02:34:35.5527172Z #46 0x0000559ce9f3b601 in _PyEval_EvalFrameDefault (f=0x559cef81dc50, 2022-11-23T02:34:35.5527620Z throwflag=) 2022-11-23T02:34:35.5528066Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3110 2022-11-23T02:34:35.5529401Z #47 0x0000559ce9eb08d7 in PyEval_EvalFrameEx (throwflag=0, f=0x559cef81dc50) 2022-11-23T02:34:35.5529724Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547 2022-11-23T02:34:35.5530577Z #48 function_code_fastcall (globals=, nargs=, 2022-11-23T02:34:35.5530895Z args=, co=) 2022-11-23T02:34:35.5531163Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:283 2022-11-23T02:34:35.5532943Z #49 _PyFunction_FastCallKeywords (func=, stack=0x559ceb5683c0, 2022-11-23T02:34:35.5533437Z nargs=, kwnames=) 2022-11-23T02:34:35.5533864Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:408 2022-11-23T02:34:35.5535820Z #50 0x0000559ce9ef79c5 in call_function (pp_stack=0x7ffeb93ad3c8, 2022-11-23T02:34:35.5536290Z oparg=, kwnames=) 2022-11-23T02:34:35.5536764Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4616 2022-11-23T02:34:35.5538737Z #51 0x0000559ce9f3b601 in _PyEval_EvalFrameDefault (f=0x559ceb568230, 2022-11-23T02:34:35.5539393Z throwflag=) 2022-11-23T02:34:35.5539861Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3110 2022-11-23T02:34:35.5540830Z #52 0x0000559ce9eb08d7 in PyEval_EvalFrameEx (throwflag=0, f=0x559ceb568230) 2022-11-23T02:34:35.5541384Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547 2022-11-23T02:34:35.5542129Z #53 function_code_fastcall (globals=, nargs=, 2022-11-23T02:34:35.5542616Z args=, co=) 2022-11-23T02:34:35.5543054Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:283 2022-11-23T02:34:35.5543885Z #54 _PyFunction_FastCallKeywords (func=, stack=0x559ceb590290, 2022-11-23T02:34:35.5544387Z nargs=, kwnames=) 2022-11-23T02:34:35.5544824Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:408 2022-11-23T02:34:35.5545832Z #55 0x0000559ce9f3b395 in call_function (kwnames=0x0, oparg=, 2022-11-23T02:34:35.5546269Z pp_stack=) 2022-11-23T02:34:35.5546763Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4616 2022-11-23T02:34:35.5548534Z #56 _PyEval_EvalFrameDefault (f=0x559ceb5900e0, throwflag=) 2022-11-23T02:34:35.5549099Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3124 2022-11-23T02:34:35.5550741Z #57 0x0000559ce9e90e85 in PyEval_EvalFrameEx (throwflag=0, f=0x559ceb5900e0) 2022-11-23T02:34:35.5551483Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547 2022-11-23T02:34:35.5561393Z #58 _PyEval_EvalCodeWithName (_co=, globals=, 2022-11-23T02:34:35.5561952Z locals=, args=, argcount=, 2022-11-23T02:34:35.5562368Z kwnames=0x7f8eacee2ab8, kwargs=0x7f8ead07e7c0, kwcount=2, kwstep=1, 2022-11-23T02:34:35.5562632Z defs=0x7f8eacec5608, defcount=2, kwdefs=0x0, closure=0x0, 2022-11-23T02:34:35.5562960Z name=0x7f8eacfe0670, qualname=0x7f8eacfe0670) 2022-11-23T02:34:35.5563241Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3930 2022-11-23T02:34:35.5564789Z #59 0x0000559ce9eb0cd3 in _PyFunction_FastCallKeywords (func=, 2022-11-23T02:34:35.5565336Z stack=0x7f8ead07e7c0, nargs=, kwnames=) 2022-11-23T02:34:35.5565733Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:433 2022-11-23T02:34:35.5567424Z #60 0x0000559ce9ef79c5 in call_function (pp_stack=0x7ffeb93ad860, 2022-11-23T02:34:35.5567886Z oparg=, kwnames=) 2022-11-23T02:34:35.5568290Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4616 2022-11-23T02:34:35.5570091Z #61 0x0000559ce9f3c3a1 in _PyEval_EvalFrameDefault (f=0x7f8ead07e650, 2022-11-23T02:34:35.5570371Z throwflag=) 2022-11-23T02:34:35.5570627Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3139 2022-11-23T02:34:35.5572085Z #62 0x0000559ce9e90e85 in PyEval_EvalFrameEx (throwflag=0, f=0x7f8ead07e650) 2022-11-23T02:34:35.5572436Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547 2022-11-23T02:34:35.5582363Z #63 _PyEval_EvalCodeWithName (_co=, globals=, 2022-11-23T02:34:35.5582776Z locals=, args=, argcount=, 2022-11-23T02:34:35.5583094Z kwnames=0x0, kwargs=0x0, kwcount=0, kwstep=2, defs=0x0, defcount=0, 2022-11-23T02:34:35.5583355Z kwdefs=0x0, closure=0x0, name=0x0, qualname=0x0) 2022-11-23T02:34:35.5583620Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3930 2022-11-23T02:34:35.5589911Z #64 0x0000559ce9e92273 in PyEval_EvalCodeEx (closure=0x0, kwdefs=0x0, 2022-11-23T02:34:35.5590462Z defcount=0, defs=0x0, kwcount=0, kws=0x0, argcount=0, args=0x0, 2022-11-23T02:34:35.5590888Z locals=, globals=, _co=) 2022-11-23T02:34:35.5591194Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3959 2022-11-23T02:34:35.5591496Z #65 PyEval_EvalCode (co=, globals=, 2022-11-23T02:34:35.5591735Z locals=) 2022-11-23T02:34:35.5591977Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:524 2022-11-23T02:34:35.5594304Z #66 0x0000559ce9f9fc82 in run_mod (mod=, 2022-11-23T02:34:35.5594804Z filename=, globals=0x7f8ead023e60, locals=0x7f8ead023e60, 2022-11-23T02:34:35.5595219Z flags=, arena=) 2022-11-23T02:34:35.5595500Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/pythonrun.c:1037 2022-11-23T02:34:35.5614736Z #67 0x0000559ce9faac6a in PyRun_StringFlags ( 2022-11-23T02:34:35.5615497Z str=0x7f8eacf98e50 "from multiprocessing.spawn import spawn_main; spawn_main(tracker_fd=11, pipe_handle=18)\n", start=257, globals=0x7f8ead023e60, 2022-11-23T02:34:35.5615854Z locals=0x7f8ead023e60, flags=0x7ffeb93adab0) 2022-11-23T02:34:35.5616131Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/pythonrun.c:961 2022-11-23T02:34:35.5619581Z #68 0x0000559ce9faaccc in PyRun_SimpleStringFlags ( 2022-11-23T02:34:35.5619964Z command=0x7f8eacf98e50 "from multiprocessing.spawn import spawn_main; spawn_main(tracker_fd=11, pipe_handle=18)\n", flags=0x7ffeb93adab0) 2022-11-23T02:34:35.5620758Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/pythonrun.c:455 2022-11-23T02:34:35.5621127Z #69 0x0000559ce9faadc9 in pymain_run_command (cf=0x7ffeb93adab0, 2022-11-23T02:34:35.5621409Z command=) 2022-11-23T02:34:35.5621879Z at /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:420 2022-11-23T02:34:35.5622260Z #70 pymain_run_python (pymain=0x7ffeb93adbc0) 2022-11-23T02:34:35.5622534Z at /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:2907 2022-11-23T02:34:35.5623529Z #71 pymain_main (pymain=0x7ffeb93adbc0) 2022-11-23T02:34:35.5624003Z at /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:3460 2022-11-23T02:34:35.5743715Z #72 0x0000559ce9fab18c in _Py_UnixMain (argc=, 2022-11-23T02:34:35.5744033Z argv=) 2022-11-23T02:34:35.5744291Z at /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:3495 2022-11-23T02:34:35.5747806Z #73 0x00007f8ead277083 in __libc_start_main (main=0x559ce9e69060
, 2022-11-23T02:34:35.5748352Z argc=5, argv=0x7ffeb93add28, init=, fini=, 2022-11-23T02:34:35.5748773Z rtld_fini=, stack_end=0x7ffeb93add18) 2022-11-23T02:34:35.5749142Z at ../csu/libc-start.c:308 2022-11-23T02:34:35.5749332Z #74 0x0000559ce9f5003a in _start () 2022-11-23T02:34:35.7241844Z GNU gdb (Ubuntu 9.2-0ubuntu1~20.04.1) 9.2 2022-11-23T02:34:35.7242265Z Copyright (C) 2020 Free Software Foundation, Inc. 2022-11-23T02:34:35.7242846Z License GPLv3+: GNU GPL version 3 or later 2022-11-23T02:34:35.7243194Z This is free software: you are free to change and redistribute it. 2022-11-23T02:34:35.7243653Z There is NO WARRANTY, to the extent permitted by law. 2022-11-23T02:34:35.7244129Z Type "show copying" and "show warranty" for details. 2022-11-23T02:34:35.7244668Z This GDB was configured as "x86_64-linux-gnu". 2022-11-23T02:34:35.7245140Z Type "show configuration" for configuration details. 2022-11-23T02:34:35.7245551Z For bug reporting instructions, please see: 2022-11-23T02:34:35.7245784Z . 2022-11-23T02:34:35.7246051Z Find the GDB manual and other documentation resources online at: 2022-11-23T02:34:35.7246336Z . 2022-11-23T02:34:35.7246487Z 2022-11-23T02:34:35.7246554Z For help, type "help". 2022-11-23T02:34:35.7246791Z Type "apropos word" to search for commands related to "word"... 2022-11-23T02:34:35.7537970Z Reading symbols from python... 2022-11-23T02:34:35.9846547Z 2022-11-23T02:34:36.0703509Z warning: core file may not match specified executable file. 2022-11-23T02:34:36.0704012Z [New LWP 4799] 2022-11-23T02:34:36.0704284Z [New LWP 4811] 2022-11-23T02:34:36.0704442Z [New LWP 4810] 2022-11-23T02:34:36.0704615Z [New LWP 4808] 2022-11-23T02:34:36.0704782Z [New LWP 4807] 2022-11-23T02:34:36.0704938Z [New LWP 4813] 2022-11-23T02:34:36.0705127Z [New LWP 4812] 2022-11-23T02:34:36.0705292Z [New LWP 4809] 2022-11-23T02:34:36.2509773Z [Thread debugging using libthread_db enabled] 2022-11-23T02:34:36.2510263Z Using host libthread_db library "/lib/x86_64-linux-gnu/libthread_db.so.1". 2022-11-23T02:34:39.6920302Z 50 ../sysdeps/unix/sysv/linux/raise.c: No such file or directory. 2022-11-23T02:34:39.6921059Z warning: File "/var/lib/jenkins/workspace/.gdbinit" auto-loading has been declined by your `auto-load safe-path' set to "$debugdir:$datadir/auto-load". 2022-11-23T02:34:39.6921592Z Core was generated by `/opt/conda/bin/python -bb -c from multiprocessing.spawn import spawn_main; spaw'. 2022-11-23T02:34:39.6921925Z Program terminated with signal SIGSEGV, Segmentation fault. 2022-11-23T02:34:39.6922222Z #0 raise (sig=) at ../sysdeps/unix/sysv/linux/raise.c:50 2022-11-23T02:34:39.6922502Z [Current thread is 1 (Thread 0x7f7c9225f340 (LWP 4799))] 2022-11-23T02:34:39.6952007Z To enable execution of this file add 2022-11-23T02:34:39.6952549Z add-auto-load-safe-path /var/lib/jenkins/workspace/.gdbinit 2022-11-23T02:34:39.6953248Z line to your configuration file "/var/lib/jenkins/.gdbinit". 2022-11-23T02:34:39.6953541Z To completely disable this security protection add 2022-11-23T02:34:39.6953806Z set auto-load safe-path / 2022-11-23T02:34:39.6954116Z line to your configuration file "/var/lib/jenkins/.gdbinit". 2022-11-23T02:34:39.6954402Z For more information about this security protection see the 2022-11-23T02:34:39.6954762Z "Auto-loading safe path" section in the GDB manual. E.g., run from the shell: 2022-11-23T02:34:39.6955147Z info "(gdb)Auto-loading safe path" 2022-11-23T02:34:39.6955411Z #0 raise (sig=) at ../sysdeps/unix/sysv/linux/raise.c:50 2022-11-23T02:34:39.6955707Z #1 0x00007f7c89f80d1b in handler_SIGSEGV(int, siginfo_t*, void*) () 2022-11-23T02:34:39.6956064Z from /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_python.so 2022-11-23T02:34:39.7030658Z #2 2022-11-23T02:34:39.7031072Z #3 0x00007f7c91c4bf17 in string_at (ptr=0x0, size=-1) 2022-11-23T02:34:39.7031560Z at /usr/local/src/conda/python-3.7.13/Modules/_ctypes/_ctypes.c:5382 2022-11-23T02:34:39.7032067Z #4 0x00007f7c91c319dd in ffi_call_unix64 () 2022-11-23T02:34:39.7032413Z from /opt/conda/lib/python3.7/lib-dynload/../../libffi.so.7 2022-11-23T02:34:39.7037575Z #5 0x00007f7c91c31067 in ffi_call_int () 2022-11-23T02:34:39.7038080Z from /opt/conda/lib/python3.7/lib-dynload/../../libffi.so.7 2022-11-23T02:34:39.7042837Z #6 0x00007f7c91c495ba in _call_function_pointer (argcount=2, 2022-11-23T02:34:39.7043361Z resmem=0x7fffe7a861e0, restype=, atypes=, 2022-11-23T02:34:39.7043843Z avalues=0x7fffe7a861c0, pProc=0x7f7c91c4bf00 , flags=4357) 2022-11-23T02:34:39.7044198Z at /usr/local/src/conda/python-3.7.13/Modules/_ctypes/callproc.c:816 2022-11-23T02:34:39.7046395Z #7 _ctypes_callproc (pProc=0x7f7c91c4bf00 , 2022-11-23T02:34:39.7046893Z argtuple=, flags=4357, argtypes=, 2022-11-23T02:34:39.7047262Z restype=0x563087058800, checker=0x0) 2022-11-23T02:34:39.7047592Z at /usr/local/src/conda/python-3.7.13/Modules/_ctypes/callproc.c:1188 2022-11-23T02:34:39.7049046Z #8 0x00007f7c91c49ea4 in PyCFuncPtr_call (self=, 2022-11-23T02:34:39.7049325Z inargs=, kwds=0x0) 2022-11-23T02:34:39.7049649Z at /usr/local/src/conda/python-3.7.13/Modules/_ctypes/_ctypes.c:4025 2022-11-23T02:34:39.7052511Z #9 0x0000563085d2616c in _PyObject_FastCallKeywords ( 2022-11-23T02:34:39.7052860Z callable=0x7f7c916331f0, stack=, nargs=, 2022-11-23T02:34:39.7053098Z kwnames=) 2022-11-23T02:34:39.7053357Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:199 2022-11-23T02:34:39.7054820Z #10 0x0000563085d6e6b5 in call_function (kwnames=0x0, oparg=, 2022-11-23T02:34:39.7055106Z pp_stack=) 2022-11-23T02:34:39.7055365Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4619 2022-11-23T02:34:39.7057375Z #11 _PyEval_EvalFrameDefault (f=0x7f7c35881750, throwflag=) 2022-11-23T02:34:39.7057684Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3124 2022-11-23T02:34:39.7059641Z #12 0x0000563085cbfe85 in PyEval_EvalFrameEx (throwflag=0, f=0x7f7c35881750) 2022-11-23T02:34:39.7059926Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547 2022-11-23T02:34:39.7070546Z #13 _PyEval_EvalCodeWithName (_co=, globals=, 2022-11-23T02:34:39.7070912Z locals=, args=, argcount=, 2022-11-23T02:34:39.7071185Z kwnames=0x0, kwargs=0x7f7c35881720, kwcount=0, kwstep=1, 2022-11-23T02:34:39.7071443Z defs=0x7f7c91641428, defcount=1, kwdefs=0x0, closure=0x0, 2022-11-23T02:34:39.7071684Z name=0x7f7c916308f0, qualname=0x7f7c916308f0) 2022-11-23T02:34:39.7072135Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3930 2022-11-23T02:34:39.7073797Z #14 0x0000563085cdfc71 in _PyFunction_FastCallKeywords (func=, 2022-11-23T02:34:39.7074317Z stack=0x7f7c35881718, nargs=, kwnames=) 2022-11-23T02:34:39.7074785Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:433 2022-11-23T02:34:39.7076694Z #15 0x0000563085d269c5 in call_function (pp_stack=0x7fffe7a86798, 2022-11-23T02:34:39.7077152Z oparg=, kwnames=) 2022-11-23T02:34:39.7077670Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4616 2022-11-23T02:34:39.7079516Z #16 0x0000563085d6e702 in _PyEval_EvalFrameDefault (f=0x7f7c35881590, 2022-11-23T02:34:39.7079949Z throwflag=) 2022-11-23T02:34:39.7080360Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3093 2022-11-23T02:34:39.7081275Z #17 0x0000563085cc1436 in PyEval_EvalFrameEx (throwflag=0, f=0x7f7c35881590) 2022-11-23T02:34:39.7081705Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547 2022-11-23T02:34:39.7082998Z #18 function_code_fastcall (globals=, nargs=, 2022-11-23T02:34:39.7083496Z args=, co=) 2022-11-23T02:34:39.7083886Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:283 2022-11-23T02:34:39.7085390Z #19 _PyFunction_FastCallDict (kwargs=0x0, nargs=, 2022-11-23T02:34:39.7085807Z args=, func=0x7f7c35917e60) 2022-11-23T02:34:39.7086294Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:322 2022-11-23T02:34:39.7088275Z #20 _PyObject_FastCallDict (callable=0x7f7c35917e60, args=, 2022-11-23T02:34:39.7088744Z nargs=, kwargs=0x0) 2022-11-23T02:34:39.7089156Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:98 2022-11-23T02:34:39.7092154Z #21 0x0000563085d43371 in _PyObject_FastCall_Prepend (nargs=2, 2022-11-23T02:34:39.7092639Z args=0x7fffe7a868f8, obj=, callable=0x7f7c35917e60) 2022-11-23T02:34:39.7093083Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:868 2022-11-23T02:34:39.7095008Z #22 call_unbound (nargs=1, args=0x7fffe7a868f8, self=, 2022-11-23T02:34:39.7095428Z func=0x7f7c35917e60, unbound=1) 2022-11-23T02:34:39.7095900Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/typeobject.c:1503 2022-11-23T02:34:39.7096680Z #23 call_method (nargs=1, args=0x7fffe7a868f8, name=0x563085edbd80 , 2022-11-23T02:34:39.7096976Z obj=) 2022-11-23T02:34:39.7097239Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/typeobject.c:1535 2022-11-23T02:34:39.7097524Z #24 slot_mp_subscript (self=, arg1=) 2022-11-23T02:34:39.7097823Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/typeobject.c:6170 2022-11-23T02:34:39.7099970Z #25 0x0000563085d137b8 in PyObject_GetItem (o=0x7f7c9162f9d0, 2022-11-23T02:34:39.7100196Z key=) 2022-11-23T02:34:39.7100439Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/abstract.c:154 2022-11-23T02:34:39.7102644Z #26 0x0000563085d6ab3e in _PyEval_EvalFrameDefault (f=0x7f7c35873b30, 2022-11-23T02:34:39.7102953Z throwflag=) 2022-11-23T02:34:39.7103204Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:1313 2022-11-23T02:34:39.7104707Z #27 0x0000563085cc03fd in PyEval_EvalFrameEx (throwflag=0, f=0x7f7c35873b30) 2022-11-23T02:34:39.7105006Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547 2022-11-23T02:34:39.7114278Z #28 _PyEval_EvalCodeWithName (_co=, globals=, 2022-11-23T02:34:39.7114643Z locals=, args=, argcount=, 2022-11-23T02:34:39.7115053Z kwnames=, kwargs=0x7f7c35873af8, kwcount=0, kwstep=1, 2022-11-23T02:34:39.7115328Z defs=0x0, defcount=0, kwdefs=0x0, closure=0x7f7c3591cdd0, 2022-11-23T02:34:39.7115572Z name=0x7f7c381460b0, qualname=0x7f7c38140450) 2022-11-23T02:34:39.7115830Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3930 2022-11-23T02:34:39.7117706Z #29 0x0000563085cdfcd3 in _PyFunction_FastCallKeywords (func=, 2022-11-23T02:34:39.7118064Z stack=0x7f7c35873af0, nargs=, kwnames=) 2022-11-23T02:34:39.7118436Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:433 2022-11-23T02:34:39.7119800Z #30 0x0000563085d6a395 in call_function (kwnames=0x0, oparg=, 2022-11-23T02:34:39.7120244Z pp_stack=) 2022-11-23T02:34:39.7120673Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4616 2022-11-23T02:34:39.7122320Z #31 _PyEval_EvalFrameDefault (f=0x7f7c35873960, throwflag=) 2022-11-23T02:34:39.7122890Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3124 2022-11-23T02:34:39.7124349Z #32 0x0000563085cc0a29 in PyEval_EvalFrameEx (throwflag=0, f=0x7f7c35873960) 2022-11-23T02:34:39.7124898Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547 2022-11-23T02:34:39.7133894Z #33 _PyEval_EvalCodeWithName (_co=, globals=, 2022-11-23T02:34:39.7134454Z locals=, args=, argcount=, 2022-11-23T02:34:39.7134901Z kwnames=, kwargs=0x56308b31a440, kwcount=0, kwstep=1, 2022-11-23T02:34:39.7135173Z defs=0x0, defcount=0, kwdefs=0x0, closure=0x0, name=0x7f7c381a1930, 2022-11-23T02:34:39.7135406Z qualname=0x7f7c38142a80) 2022-11-23T02:34:39.7135661Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3930 2022-11-23T02:34:39.7137168Z #34 0x0000563085cdfcd3 in _PyFunction_FastCallKeywords (func=, 2022-11-23T02:34:39.7137582Z stack=0x56308b31a430, nargs=, kwnames=) 2022-11-23T02:34:39.7137883Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:433 2022-11-23T02:34:39.7140198Z #35 0x0000563085d269c5 in call_function (pp_stack=0x7fffe7a86fb8, 2022-11-23T02:34:39.7140557Z oparg=, kwnames=) 2022-11-23T02:34:39.7140850Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4616 2022-11-23T02:34:39.7143139Z #36 0x0000563085d6a601 in _PyEval_EvalFrameDefault (f=0x56308b31a1d0, 2022-11-23T02:34:39.7143578Z throwflag=) 2022-11-23T02:34:39.7144311Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3110 2022-11-23T02:34:39.7145084Z #37 0x0000563085cdecf8 in PyEval_EvalFrameEx (throwflag=0, f=0x56308b31a1d0) 2022-11-23T02:34:39.7145431Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547 2022-11-23T02:34:39.7145785Z #38 function_code_fastcall (globals=, nargs=14, 2022-11-23T02:34:39.7146045Z args=, co=) 2022-11-23T02:34:39.7146307Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:283 2022-11-23T02:34:39.7148576Z #39 _PyFunction_FastCallDict (func=, args=0x7f7c91da9958, 2022-11-23T02:34:39.7148884Z nargs=14, kwargs=) 2022-11-23T02:34:39.7149137Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:322 2022-11-23T02:34:39.7153101Z #40 0x0000563085d6bc58 in do_call_core (kwdict=0x7f7c35871eb0, 2022-11-23T02:34:39.7153413Z callargs=0x7f7c91da9940, func=0x7f7c3813c440) 2022-11-23T02:34:39.7153688Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4645 2022-11-23T02:34:39.7154893Z #41 _PyEval_EvalFrameDefault (f=0x7f7c35c95c20, throwflag=) 2022-11-23T02:34:39.7155251Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3191 2022-11-23T02:34:39.7156934Z #42 0x0000563085cdf8d7 in PyEval_EvalFrameEx (throwflag=0, f=0x7f7c35c95c20) 2022-11-23T02:34:39.7157468Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547 2022-11-23T02:34:39.7158262Z #43 function_code_fastcall (globals=, nargs=, 2022-11-23T02:34:39.7158556Z args=, co=) 2022-11-23T02:34:39.7158829Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:283 2022-11-23T02:34:39.7161014Z #44 _PyFunction_FastCallKeywords (func=, stack=0x56308b1fa5a8, 2022-11-23T02:34:39.7161537Z nargs=, kwnames=) 2022-11-23T02:34:39.7161953Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:408 2022-11-23T02:34:39.7163903Z #45 0x0000563085d269c5 in call_function (pp_stack=0x7fffe7a87378, 2022-11-23T02:34:39.7164366Z oparg=, kwnames=) 2022-11-23T02:34:39.7164793Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4616 2022-11-23T02:34:39.7166387Z #46 0x0000563085d6a601 in _PyEval_EvalFrameDefault (f=0x56308b1fa400, 2022-11-23T02:34:39.7166811Z throwflag=) 2022-11-23T02:34:39.7167231Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3110 2022-11-23T02:34:39.7168201Z #47 0x0000563085cdf8d7 in PyEval_EvalFrameEx (throwflag=0, f=0x56308b1fa400) 2022-11-23T02:34:39.7168758Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547 2022-11-23T02:34:39.7169487Z #48 function_code_fastcall (globals=, nargs=, 2022-11-23T02:34:39.7169768Z args=, co=) 2022-11-23T02:34:39.7170040Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:283 2022-11-23T02:34:39.7171759Z #49 _PyFunction_FastCallKeywords (func=, stack=0x563086f483c0, 2022-11-23T02:34:39.7172044Z nargs=, kwnames=) 2022-11-23T02:34:39.7172323Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:408 2022-11-23T02:34:39.7174728Z #50 0x0000563085d269c5 in call_function (pp_stack=0x7fffe7a87568, 2022-11-23T02:34:39.7175053Z oparg=, kwnames=) 2022-11-23T02:34:39.7175365Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4616 2022-11-23T02:34:39.7177659Z #51 0x0000563085d6a601 in _PyEval_EvalFrameDefault (f=0x563086f48230, 2022-11-23T02:34:39.7177988Z throwflag=) 2022-11-23T02:34:39.7178243Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3110 2022-11-23T02:34:39.7180856Z #52 0x0000563085cdf8d7 in PyEval_EvalFrameEx (throwflag=0, f=0x563086f48230) 2022-11-23T02:34:39.7181203Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547 2022-11-23T02:34:39.7182282Z #53 function_code_fastcall (globals=, nargs=, 2022-11-23T02:34:39.7182608Z args=, co=) 2022-11-23T02:34:39.7182879Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:283 2022-11-23T02:34:39.7184244Z #54 _PyFunction_FastCallKeywords (func=, stack=0x563086f70290, 2022-11-23T02:34:39.7184749Z nargs=, kwnames=) 2022-11-23T02:34:39.7185149Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:408 2022-11-23T02:34:39.7186380Z #55 0x0000563085d6a395 in call_function (kwnames=0x0, oparg=, 2022-11-23T02:34:39.7186845Z pp_stack=) 2022-11-23T02:34:39.7187215Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4616 2022-11-23T02:34:39.7188441Z #56 _PyEval_EvalFrameDefault (f=0x563086f700e0, throwflag=) 2022-11-23T02:34:39.7188755Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3124 2022-11-23T02:34:39.7190919Z #57 0x0000563085cbfe85 in PyEval_EvalFrameEx (throwflag=0, f=0x563086f700e0) 2022-11-23T02:34:39.7191471Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547 2022-11-23T02:34:39.7202062Z #58 _PyEval_EvalCodeWithName (_co=, globals=, 2022-11-23T02:34:39.7202639Z locals=, args=, argcount=, 2022-11-23T02:34:39.7226527Z kwnames=0x7f7c91eeafb8, kwargs=0x7f7c9208b7c0, kwcount=2, kwstep=1, 2022-11-23T02:34:39.7227260Z defs=0x7f7c91ed2658, defcount=2, kwdefs=0x0, closure=0x0, 2022-11-23T02:34:39.7227720Z name=0x7f7c91fed670, qualname=0x7f7c91fed670) 2022-11-23T02:34:39.7228170Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3930 2022-11-23T02:34:39.7228736Z #59 0x0000563085cdfcd3 in _PyFunction_FastCallKeywords (func=, 2022-11-23T02:34:39.7229176Z stack=0x7f7c9208b7c0, nargs=, kwnames=) 2022-11-23T02:34:39.7229747Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:433 2022-11-23T02:34:39.7230232Z #60 0x0000563085d269c5 in call_function (pp_stack=0x7fffe7a87a00, 2022-11-23T02:34:39.7230630Z oparg=, kwnames=) 2022-11-23T02:34:39.7231095Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4616 2022-11-23T02:34:39.7231570Z #61 0x0000563085d6b3a1 in _PyEval_EvalFrameDefault (f=0x7f7c9208b650, 2022-11-23T02:34:39.7231947Z throwflag=) 2022-11-23T02:34:39.7232370Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3139 2022-11-23T02:34:39.7232878Z #62 0x0000563085cbfe85 in PyEval_EvalFrameEx (throwflag=0, f=0x7f7c9208b650) 2022-11-23T02:34:39.7233371Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547 2022-11-23T02:34:39.7233874Z #63 _PyEval_EvalCodeWithName (_co=, globals=, 2022-11-23T02:34:39.7234431Z locals=, args=, argcount=, 2022-11-23T02:34:39.7234911Z kwnames=0x0, kwargs=0x0, kwcount=0, kwstep=2, defs=0x0, defcount=0, 2022-11-23T02:34:39.7235325Z kwdefs=0x0, closure=0x0, name=0x0, qualname=0x0) 2022-11-23T02:34:39.7235807Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3930 2022-11-23T02:34:39.7239142Z #64 0x0000563085cc1273 in PyEval_EvalCodeEx (closure=0x0, kwdefs=0x0, 2022-11-23T02:34:39.7239636Z defcount=0, defs=0x0, kwcount=0, kws=0x0, argcount=0, args=0x0, 2022-11-23T02:34:39.7240146Z locals=, globals=, _co=) 2022-11-23T02:34:39.7240645Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3959 2022-11-23T02:34:39.7241144Z #65 PyEval_EvalCode (co=, globals=, 2022-11-23T02:34:39.7241557Z locals=) 2022-11-23T02:34:39.7241962Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:524 2022-11-23T02:34:39.7245091Z #66 0x0000563085dcec82 in run_mod (mod=, 2022-11-23T02:34:39.7245619Z filename=, globals=0x7f7c92030e60, locals=0x7f7c92030e60, 2022-11-23T02:34:39.7246069Z flags=, arena=) 2022-11-23T02:34:39.7246501Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/pythonrun.c:1037 2022-11-23T02:34:39.7260861Z #67 0x0000563085dd9c6a in PyRun_StringFlags ( 2022-11-23T02:34:39.7261542Z str=0x7f7c91fa5e50 "from multiprocessing.spawn import spawn_main; spawn_main(tracker_fd=11, pipe_handle=15)\n", start=257, globals=0x7f7c92030e60, 2022-11-23T02:34:39.7261900Z locals=0x7f7c92030e60, flags=0x7fffe7a87c50) 2022-11-23T02:34:39.7262174Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/pythonrun.c:961 2022-11-23T02:34:39.7264909Z #68 0x0000563085dd9ccc in PyRun_SimpleStringFlags ( 2022-11-23T02:34:39.7265556Z command=0x7f7c91fa5e50 "from multiprocessing.spawn import spawn_main; spawn_main(tracker_fd=11, pipe_handle=15)\n", flags=0x7fffe7a87c50) 2022-11-23T02:34:39.7266120Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/pythonrun.c:455 2022-11-23T02:34:39.7266608Z #69 0x0000563085dd9dc9 in pymain_run_command (cf=0x7fffe7a87c50, 2022-11-23T02:34:39.7267041Z command=) 2022-11-23T02:34:39.7267304Z at /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:420 2022-11-23T02:34:39.7267746Z #70 pymain_run_python (pymain=0x7fffe7a87d60) 2022-11-23T02:34:39.7268297Z at /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:2907 2022-11-23T02:34:39.7270050Z #71 pymain_main (pymain=0x7fffe7a87d60) 2022-11-23T02:34:39.7270348Z at /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:3460 2022-11-23T02:34:39.7389913Z #72 0x0000563085dda18c in _Py_UnixMain (argc=, 2022-11-23T02:34:39.7390224Z argv=) 2022-11-23T02:34:39.7390495Z at /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:3495 2022-11-23T02:34:39.7393790Z #73 0x00007f7c92284083 in __libc_start_main (main=0x563085c98060
, 2022-11-23T02:34:39.7394283Z argc=5, argv=0x7fffe7a87ec8, init=, fini=, 2022-11-23T02:34:39.7394790Z rtld_fini=, stack_end=0x7fffe7a87eb8) 2022-11-23T02:34:39.7395208Z at ../csu/libc-start.c:308 2022-11-23T02:34:39.7395410Z #74 0x0000563085d7f03a in _start () 2022-11-23T02:34:39.8994793Z GNU gdb (Ubuntu 9.2-0ubuntu1~20.04.1) 9.2 2022-11-23T02:34:39.8995331Z Copyright (C) 2020 Free Software Foundation, Inc. 2022-11-23T02:34:39.8995899Z License GPLv3+: GNU GPL version 3 or later 2022-11-23T02:34:39.8996455Z This is free software: you are free to change and redistribute it. 2022-11-23T02:34:39.8996951Z There is NO WARRANTY, to the extent permitted by law. 2022-11-23T02:34:39.8997222Z Type "show copying" and "show warranty" for details. 2022-11-23T02:34:39.8997536Z This GDB was configured as "x86_64-linux-gnu". 2022-11-23T02:34:39.8997780Z Type "show configuration" for configuration details. 2022-11-23T02:34:39.8998033Z For bug reporting instructions, please see: 2022-11-23T02:34:39.8998275Z . 2022-11-23T02:34:39.8998527Z Find the GDB manual and other documentation resources online at: 2022-11-23T02:34:39.8998806Z . 2022-11-23T02:34:39.8998962Z 2022-11-23T02:34:39.8999043Z For help, type "help". 2022-11-23T02:34:39.8999276Z Type "apropos word" to search for commands related to "word"... 2022-11-23T02:34:39.9287940Z Reading symbols from python... 2022-11-23T02:34:40.1705204Z 2022-11-23T02:34:40.1705690Z warning: core file may not match specified executable file. 2022-11-23T02:34:40.2625939Z [New LWP 4800] 2022-11-23T02:34:40.2626236Z [New LWP 4816] 2022-11-23T02:34:40.2626398Z [New LWP 4817] 2022-11-23T02:34:40.2626580Z [New LWP 4815] 2022-11-23T02:34:40.2626760Z [New LWP 4814] 2022-11-23T02:34:40.2626915Z [New LWP 4819] 2022-11-23T02:34:40.2627076Z [New LWP 4820] 2022-11-23T02:34:40.2627240Z [New LWP 4818] 2022-11-23T02:34:40.4435382Z [Thread debugging using libthread_db enabled] 2022-11-23T02:34:40.4435883Z Using host libthread_db library "/lib/x86_64-linux-gnu/libthread_db.so.1". 2022-11-23T02:34:43.8735251Z 50 ../sysdeps/unix/sysv/linux/raise.c: No such file or directory. 2022-11-23T02:34:43.8736347Z warning: File "/var/lib/jenkins/workspace/.gdbinit" auto-loading has been declined by your `auto-load safe-path' set to "$debugdir:$datadir/auto-load". 2022-11-23T02:34:43.8737150Z Core was generated by `/opt/conda/bin/python -bb -c from multiprocessing.spawn import spawn_main; spaw'. 2022-11-23T02:34:43.8737494Z Program terminated with signal SIGSEGV, Segmentation fault. 2022-11-23T02:34:43.8737787Z #0 raise (sig=) at ../sysdeps/unix/sysv/linux/raise.c:50 2022-11-23T02:34:43.8738058Z [Current thread is 1 (Thread 0x7fa86e16b340 (LWP 4800))] 2022-11-23T02:34:43.8767159Z To enable execution of this file add 2022-11-23T02:34:43.8767821Z add-auto-load-safe-path /var/lib/jenkins/workspace/.gdbinit 2022-11-23T02:34:43.8768334Z line to your configuration file "/var/lib/jenkins/.gdbinit". 2022-11-23T02:34:43.8768755Z To completely disable this security protection add 2022-11-23T02:34:43.8769256Z set auto-load safe-path / 2022-11-23T02:34:43.8769619Z line to your configuration file "/var/lib/jenkins/.gdbinit". 2022-11-23T02:34:43.8769885Z For more information about this security protection see the 2022-11-23T02:34:43.8770386Z "Auto-loading safe path" section in the GDB manual. E.g., run from the shell: 2022-11-23T02:34:43.8770698Z info "(gdb)Auto-loading safe path" 2022-11-23T02:34:43.8770945Z #0 raise (sig=) at ../sysdeps/unix/sysv/linux/raise.c:50 2022-11-23T02:34:43.8771242Z #1 0x00007fa865e8cd1b in handler_SIGSEGV(int, siginfo_t*, void*) () 2022-11-23T02:34:43.8771612Z from /opt/conda/lib/python3.7/site-packages/torch/lib/libtorch_python.so 2022-11-23T02:34:43.8841809Z #2 2022-11-23T02:34:43.8842178Z #3 0x00007fa86db57f17 in string_at (ptr=0x0, size=-1) 2022-11-23T02:34:43.8842594Z at /usr/local/src/conda/python-3.7.13/Modules/_ctypes/_ctypes.c:5382 2022-11-23T02:34:43.8843241Z #4 0x00007fa86db3d9dd in ffi_call_unix64 () 2022-11-23T02:34:43.8843538Z from /opt/conda/lib/python3.7/lib-dynload/../../libffi.so.7 2022-11-23T02:34:43.8848316Z #5 0x00007fa86db3d067 in ffi_call_int () 2022-11-23T02:34:43.8848664Z from /opt/conda/lib/python3.7/lib-dynload/../../libffi.so.7 2022-11-23T02:34:43.8853482Z #6 0x00007fa86db555ba in _call_function_pointer (argcount=2, 2022-11-23T02:34:43.8853968Z resmem=0x7ffc52a383f0, restype=, atypes=, 2022-11-23T02:34:43.8854465Z avalues=0x7ffc52a383d0, pProc=0x7fa86db57f00 , flags=4357) 2022-11-23T02:34:43.8854831Z at /usr/local/src/conda/python-3.7.13/Modules/_ctypes/callproc.c:816 2022-11-23T02:34:43.8857299Z #7 _ctypes_callproc (pProc=0x7fa86db57f00 , 2022-11-23T02:34:43.8857777Z argtuple=, flags=4357, argtypes=, 2022-11-23T02:34:43.8858216Z restype=0x55d7de37e800, checker=0x0) 2022-11-23T02:34:43.8858552Z at /usr/local/src/conda/python-3.7.13/Modules/_ctypes/callproc.c:1188 2022-11-23T02:34:43.8860121Z #8 0x00007fa86db55ea4 in PyCFuncPtr_call (self=, 2022-11-23T02:34:43.8860590Z inargs=, kwds=0x0) 2022-11-23T02:34:43.8861085Z at /usr/local/src/conda/python-3.7.13/Modules/_ctypes/_ctypes.c:4025 2022-11-23T02:34:43.8863678Z #9 0x000055d7dd0a316c in _PyObject_FastCallKeywords ( 2022-11-23T02:34:43.8864175Z callable=0x7fa86d53f1f0, stack=, nargs=, 2022-11-23T02:34:43.8864586Z kwnames=) 2022-11-23T02:34:43.8864847Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:199 2022-11-23T02:34:43.8866178Z #10 0x000055d7dd0eb6b5 in call_function (kwnames=0x0, oparg=, 2022-11-23T02:34:43.8866659Z pp_stack=) 2022-11-23T02:34:43.8867048Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4619 2022-11-23T02:34:43.8869079Z #11 _PyEval_EvalFrameDefault (f=0x7fa81178e750, throwflag=) 2022-11-23T02:34:43.8869733Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3124 2022-11-23T02:34:43.8871466Z #12 0x000055d7dd03ce85 in PyEval_EvalFrameEx (throwflag=0, f=0x7fa81178e750) 2022-11-23T02:34:43.8872030Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547 2022-11-23T02:34:43.8882661Z #13 _PyEval_EvalCodeWithName (_co=, globals=, 2022-11-23T02:34:43.8883284Z locals=, args=, argcount=, 2022-11-23T02:34:43.8883579Z kwnames=0x0, kwargs=0x7fa81178e720, kwcount=0, kwstep=1, 2022-11-23T02:34:43.8883843Z defs=0x7fa86d54d368, defcount=1, kwdefs=0x0, closure=0x0, 2022-11-23T02:34:43.8884236Z name=0x7fa86d53c830, qualname=0x7fa86d53c830) 2022-11-23T02:34:43.8884523Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3930 2022-11-23T02:34:43.8885888Z #14 0x000055d7dd05cc71 in _PyFunction_FastCallKeywords (func=, 2022-11-23T02:34:43.8886296Z stack=0x7fa81178e718, nargs=, kwnames=) 2022-11-23T02:34:43.8886602Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:433 2022-11-23T02:34:43.8889262Z #15 0x000055d7dd0a39c5 in call_function (pp_stack=0x7ffc52a389a8, 2022-11-23T02:34:43.8889732Z oparg=, kwnames=) 2022-11-23T02:34:43.8890017Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4616 2022-11-23T02:34:43.8892020Z #16 0x000055d7dd0eb702 in _PyEval_EvalFrameDefault (f=0x7fa81178e590, 2022-11-23T02:34:43.8892413Z throwflag=) 2022-11-23T02:34:43.8892904Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3093 2022-11-23T02:34:43.8894285Z #17 0x000055d7dd03e436 in PyEval_EvalFrameEx (throwflag=0, f=0x7fa81178e590) 2022-11-23T02:34:43.8894849Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547 2022-11-23T02:34:43.8895577Z #18 function_code_fastcall (globals=, nargs=, 2022-11-23T02:34:43.8896061Z args=, co=) 2022-11-23T02:34:43.8896462Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:283 2022-11-23T02:34:43.8899042Z #19 _PyFunction_FastCallDict (kwargs=0x0, nargs=, 2022-11-23T02:34:43.8899542Z args=, func=0x7fa811826e60) 2022-11-23T02:34:43.8899924Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:322 2022-11-23T02:34:43.8902235Z #20 _PyObject_FastCallDict (callable=0x7fa811826e60, args=, 2022-11-23T02:34:43.8902673Z nargs=, kwargs=0x0) 2022-11-23T02:34:43.8903168Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:98 2022-11-23T02:34:43.8906234Z #21 0x000055d7dd0c0371 in _PyObject_FastCall_Prepend (nargs=2, 2022-11-23T02:34:43.8906714Z args=0x7ffc52a38b08, obj=, callable=0x7fa811826e60) 2022-11-23T02:34:43.8907184Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:868 2022-11-23T02:34:43.8909586Z #22 call_unbound (nargs=1, args=0x7ffc52a38b08, self=, 2022-11-23T02:34:43.8909903Z func=0x7fa811826e60, unbound=1) 2022-11-23T02:34:43.8910181Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/typeobject.c:1503 2022-11-23T02:34:43.8911554Z #23 call_method (nargs=1, args=0x7ffc52a38b08, name=0x55d7dd258d80 , 2022-11-23T02:34:43.8911927Z obj=) 2022-11-23T02:34:43.8912413Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/typeobject.c:1535 2022-11-23T02:34:43.8912759Z #24 slot_mp_subscript (self=, arg1=) 2022-11-23T02:34:43.8913068Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/typeobject.c:6170 2022-11-23T02:34:43.8915187Z #25 0x000055d7dd0907b8 in PyObject_GetItem (o=0x7fa86d53b910, 2022-11-23T02:34:43.8915441Z key=) 2022-11-23T02:34:43.8915708Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/abstract.c:154 2022-11-23T02:34:43.8918390Z #26 0x000055d7dd0e7b3e in _PyEval_EvalFrameDefault (f=0x7fa811780b30, 2022-11-23T02:34:43.8918685Z throwflag=) 2022-11-23T02:34:43.8918960Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:1313 2022-11-23T02:34:43.8920413Z #27 0x000055d7dd03d3fd in PyEval_EvalFrameEx (throwflag=0, f=0x7fa811780b30) 2022-11-23T02:34:43.8920708Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547 2022-11-23T02:34:43.8930172Z #28 _PyEval_EvalCodeWithName (_co=, globals=, 2022-11-23T02:34:43.8930924Z locals=, args=, argcount=, 2022-11-23T02:34:43.8931286Z kwnames=, kwargs=0x7fa811780af8, kwcount=0, kwstep=1, 2022-11-23T02:34:43.8931552Z defs=0x0, defcount=0, kwdefs=0x0, closure=0x7fa811774f10, 2022-11-23T02:34:43.8931793Z name=0x7fa814052130, qualname=0x7fa81404d3f0) 2022-11-23T02:34:43.8932064Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3930 2022-11-23T02:34:43.8933482Z #29 0x000055d7dd05ccd3 in _PyFunction_FastCallKeywords (func=, 2022-11-23T02:34:43.8933888Z stack=0x7fa811780af0, nargs=, kwnames=) 2022-11-23T02:34:43.8934187Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:433 2022-11-23T02:34:43.8935403Z #30 0x000055d7dd0e7395 in call_function (kwnames=0x0, oparg=, 2022-11-23T02:34:43.8935645Z pp_stack=) 2022-11-23T02:34:43.8935911Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4616 2022-11-23T02:34:43.8938014Z #31 _PyEval_EvalFrameDefault (f=0x7fa811780960, throwflag=) 2022-11-23T02:34:43.8938365Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3124 2022-11-23T02:34:43.8940277Z #32 0x000055d7dd03da29 in PyEval_EvalFrameEx (throwflag=0, f=0x7fa811780960) 2022-11-23T02:34:43.8940612Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547 2022-11-23T02:34:43.8950410Z #33 _PyEval_EvalCodeWithName (_co=, globals=, 2022-11-23T02:34:43.8950995Z locals=, args=, argcount=, 2022-11-23T02:34:43.8951394Z kwnames=, kwargs=0x55d7e26404a0, kwcount=0, kwstep=1, 2022-11-23T02:34:43.8951682Z defs=0x0, defcount=0, kwdefs=0x0, closure=0x0, name=0x7fa8140ad9b0, 2022-11-23T02:34:43.8951915Z qualname=0x7fa81404ead0) 2022-11-23T02:34:43.8952160Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3930 2022-11-23T02:34:43.8953617Z #34 0x000055d7dd05ccd3 in _PyFunction_FastCallKeywords (func=, 2022-11-23T02:34:43.8954189Z stack=0x55d7e2640490, nargs=, kwnames=) 2022-11-23T02:34:43.8954519Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:433 2022-11-23T02:34:43.8956830Z #35 0x000055d7dd0a39c5 in call_function (pp_stack=0x7ffc52a391c8, 2022-11-23T02:34:43.8957311Z oparg=, kwnames=) 2022-11-23T02:34:43.8957736Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4616 2022-11-23T02:34:43.8959802Z #36 0x000055d7dd0e7601 in _PyEval_EvalFrameDefault (f=0x55d7e2640230, 2022-11-23T02:34:43.8960252Z throwflag=) 2022-11-23T02:34:43.8960674Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3110 2022-11-23T02:34:43.8961657Z #37 0x000055d7dd05bcf8 in PyEval_EvalFrameEx (throwflag=0, f=0x55d7e2640230) 2022-11-23T02:34:43.8962004Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547 2022-11-23T02:34:43.8962647Z #38 function_code_fastcall (globals=, nargs=14, 2022-11-23T02:34:43.8962920Z args=, co=) 2022-11-23T02:34:43.8963198Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:283 2022-11-23T02:34:43.8965582Z #39 _PyFunction_FastCallDict (func=, args=0x7fa86dcb5958, 2022-11-23T02:34:43.8965864Z nargs=14, kwargs=) 2022-11-23T02:34:43.8966142Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:322 2022-11-23T02:34:43.8970031Z #40 0x000055d7dd0e8c58 in do_call_core (kwdict=0x7fa81177eeb0, 2022-11-23T02:34:43.8970338Z callargs=0x7fa86dcb5940, func=0x7fa814047440) 2022-11-23T02:34:43.8970634Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4645 2022-11-23T02:34:43.8972056Z #41 _PyEval_EvalFrameDefault (f=0x7fa811ba2c20, throwflag=) 2022-11-23T02:34:43.8972433Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3191 2022-11-23T02:34:43.8974069Z #42 0x000055d7dd05c8d7 in PyEval_EvalFrameEx (throwflag=0, f=0x7fa811ba2c20) 2022-11-23T02:34:43.8974375Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547 2022-11-23T02:34:43.8975597Z #43 function_code_fastcall (globals=, nargs=, 2022-11-23T02:34:43.8975902Z args=, co=) 2022-11-23T02:34:43.8976250Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:283 2022-11-23T02:34:43.8977335Z #44 _PyFunction_FastCallKeywords (func=, stack=0x55d7e2520608, 2022-11-23T02:34:43.8977715Z nargs=, kwnames=) 2022-11-23T02:34:43.8977980Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:408 2022-11-23T02:34:43.8981324Z #45 0x000055d7dd0a39c5 in call_function (pp_stack=0x7ffc52a39588, 2022-11-23T02:34:43.8981659Z oparg=, kwnames=) 2022-11-23T02:34:43.8981944Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4616 2022-11-23T02:34:43.8984101Z #46 0x000055d7dd0e7601 in _PyEval_EvalFrameDefault (f=0x55d7e2520460, 2022-11-23T02:34:43.8984434Z throwflag=) 2022-11-23T02:34:43.8984701Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3110 2022-11-23T02:34:43.8986074Z #47 0x000055d7dd05c8d7 in PyEval_EvalFrameEx (throwflag=0, f=0x55d7e2520460) 2022-11-23T02:34:43.8986375Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547 2022-11-23T02:34:43.8987579Z #48 function_code_fastcall (globals=, nargs=, 2022-11-23T02:34:43.8987861Z args=, co=) 2022-11-23T02:34:43.8988125Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:283 2022-11-23T02:34:43.8989297Z #49 _PyFunction_FastCallKeywords (func=, stack=0x55d7de26e3c0, 2022-11-23T02:34:43.8989752Z nargs=, kwnames=) 2022-11-23T02:34:43.8990036Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:408 2022-11-23T02:34:43.8992272Z #50 0x000055d7dd0a39c5 in call_function (pp_stack=0x7ffc52a39778, 2022-11-23T02:34:43.8992607Z oparg=, kwnames=) 2022-11-23T02:34:43.8992899Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4616 2022-11-23T02:34:43.8994901Z #51 0x000055d7dd0e7601 in _PyEval_EvalFrameDefault (f=0x55d7de26e230, 2022-11-23T02:34:43.8995225Z throwflag=) 2022-11-23T02:34:43.8995492Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3110 2022-11-23T02:34:43.8996757Z #52 0x000055d7dd05c8d7 in PyEval_EvalFrameEx (throwflag=0, f=0x55d7de26e230) 2022-11-23T02:34:43.8997111Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547 2022-11-23T02:34:43.8997917Z #53 function_code_fastcall (globals=, nargs=, 2022-11-23T02:34:43.8998279Z args=, co=) 2022-11-23T02:34:43.8998561Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:283 2022-11-23T02:34:43.8999907Z #54 _PyFunction_FastCallKeywords (func=, stack=0x55d7de296290, 2022-11-23T02:34:43.9000322Z nargs=, kwnames=) 2022-11-23T02:34:43.9000610Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:408 2022-11-23T02:34:43.9001585Z #55 0x000055d7dd0e7395 in call_function (kwnames=0x0, oparg=, 2022-11-23T02:34:43.9001944Z pp_stack=) 2022-11-23T02:34:43.9002212Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4616 2022-11-23T02:34:43.9003944Z #56 _PyEval_EvalFrameDefault (f=0x55d7de2960e0, throwflag=) 2022-11-23T02:34:43.9004419Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3124 2022-11-23T02:34:43.9006093Z #57 0x000055d7dd03ce85 in PyEval_EvalFrameEx (throwflag=0, f=0x55d7de2960e0) 2022-11-23T02:34:43.9006425Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547 2022-11-23T02:34:43.9016209Z #58 _PyEval_EvalCodeWithName (_co=, globals=, 2022-11-23T02:34:43.9016608Z locals=, args=, argcount=, 2022-11-23T02:34:43.9017026Z kwnames=0x7fa86ddfbab8, kwargs=0x7fa86df977c0, kwcount=2, kwstep=1, 2022-11-23T02:34:43.9017310Z defs=0x7fa86ddde658, defcount=2, kwdefs=0x0, closure=0x0, 2022-11-23T02:34:43.9017567Z name=0x7fa86def9670, qualname=0x7fa86def9670) 2022-11-23T02:34:43.9017833Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3930 2022-11-23T02:34:43.9019517Z #59 0x000055d7dd05ccd3 in _PyFunction_FastCallKeywords (func=, 2022-11-23T02:34:43.9020089Z stack=0x7fa86df977c0, nargs=, kwnames=) 2022-11-23T02:34:43.9020456Z at /home/builder/tkoch/workspace/python_1648536129212/work/Objects/call.c:433 2022-11-23T02:34:43.9022156Z #60 0x000055d7dd0a39c5 in call_function (pp_stack=0x7ffc52a39c10, 2022-11-23T02:34:43.9022463Z oparg=, kwnames=) 2022-11-23T02:34:43.9022751Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:4616 2022-11-23T02:34:43.9024780Z #61 0x000055d7dd0e83a1 in _PyEval_EvalFrameDefault (f=0x7fa86df97650, 2022-11-23T02:34:43.9025074Z throwflag=) 2022-11-23T02:34:43.9025338Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3139 2022-11-23T02:34:43.9026605Z #62 0x000055d7dd03ce85 in PyEval_EvalFrameEx (throwflag=0, f=0x7fa86df97650) 2022-11-23T02:34:43.9026938Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:547 2022-11-23T02:34:43.9037057Z #63 _PyEval_EvalCodeWithName (_co=, globals=, 2022-11-23T02:34:43.9037403Z locals=, args=, argcount=, 2022-11-23T02:34:43.9037700Z kwnames=0x0, kwargs=0x0, kwcount=0, kwstep=2, defs=0x0, defcount=0, 2022-11-23T02:34:43.9037949Z kwdefs=0x0, closure=0x0, name=0x0, qualname=0x0) 2022-11-23T02:34:43.9038228Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3930 2022-11-23T02:34:43.9044271Z #64 0x000055d7dd03e273 in PyEval_EvalCodeEx (closure=0x0, kwdefs=0x0, 2022-11-23T02:34:43.9044631Z defcount=0, defs=0x0, kwcount=0, kws=0x0, argcount=0, args=0x0, 2022-11-23T02:34:43.9044985Z locals=, globals=, _co=) 2022-11-23T02:34:43.9045329Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:3959 2022-11-23T02:34:43.9045627Z #65 PyEval_EvalCode (co=, globals=, 2022-11-23T02:34:43.9045862Z locals=) 2022-11-23T02:34:43.9046119Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/ceval.c:524 2022-11-23T02:34:43.9049124Z #66 0x000055d7dd14bc82 in run_mod (mod=, 2022-11-23T02:34:43.9049607Z filename=, globals=0x7fa86df3ce60, locals=0x7fa86df3ce60, 2022-11-23T02:34:43.9050086Z flags=, arena=) 2022-11-23T02:34:43.9050381Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/pythonrun.c:1037 2022-11-23T02:34:43.9061833Z #67 0x000055d7dd156c6a in PyRun_StringFlags ( 2022-11-23T02:34:43.9062276Z str=0x7fa86deb1e50 "from multiprocessing.spawn import spawn_main; spawn_main(tracker_fd=11, pipe_handle=18)\n", start=257, globals=0x7fa86df3ce60, 2022-11-23T02:34:43.9062631Z locals=0x7fa86df3ce60, flags=0x7ffc52a39e60) 2022-11-23T02:34:43.9062916Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/pythonrun.c:961 2022-11-23T02:34:43.9065948Z #68 0x000055d7dd156ccc in PyRun_SimpleStringFlags ( 2022-11-23T02:34:43.9066394Z command=0x7fa86deb1e50 "from multiprocessing.spawn import spawn_main; spawn_main(tracker_fd=11, pipe_handle=18)\n", flags=0x7ffc52a39e60) 2022-11-23T02:34:43.9066780Z at /home/builder/tkoch/workspace/python_1648536129212/work/Python/pythonrun.c:455 2022-11-23T02:34:43.9067835Z #69 0x000055d7dd156dc9 in pymain_run_command (cf=0x7ffc52a39e60, 2022-11-23T02:34:43.9068138Z command=) 2022-11-23T02:34:43.9068530Z at /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:420 2022-11-23T02:34:43.9069242Z #70 pymain_run_python (pymain=0x7ffc52a39f70) 2022-11-23T02:34:43.9069589Z at /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:2907 2022-11-23T02:34:43.9071358Z #71 pymain_main (pymain=0x7ffc52a39f70) 2022-11-23T02:34:43.9071633Z at /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:3460 2022-11-23T02:34:43.9191474Z #72 0x000055d7dd15718c in _Py_UnixMain (argc=, 2022-11-23T02:34:43.9191735Z argv=) 2022-11-23T02:34:43.9191981Z at /home/builder/tkoch/workspace/python_1648536129212/work/Modules/main.c:3495 2022-11-23T02:34:43.9196049Z #73 0x00007fa86e190083 in __libc_start_main (main=0x55d7dd015060
, 2022-11-23T02:34:43.9196609Z argc=5, argv=0x7ffc52a3a0d8, init=, fini=, 2022-11-23T02:34:43.9196900Z rtld_fini=, stack_end=0x7ffc52a3a0c8) 2022-11-23T02:34:43.9197266Z at ../csu/libc-start.c:308 2022-11-23T02:34:43.9197468Z #74 0x000055d7dd0fc03a in _start () 2022-11-23T02:34:44.8739823Z ##[group]Run set -x 2022-11-23T02:34:44.8740041Z set -x 2022-11-23T02:34:44.8740248Z python3 -m pip install -r requirements.txt 2022-11-23T02:34:44.8740497Z python3 -m pip install boto3==1.19.12 2022-11-23T02:34:44.8740792Z python3 -m tools.stats.print_test_stats --upload-to-s3 --compare-with-s3 test 2022-11-23T02:34:44.8751849Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-11-23T02:34:44.8752071Z env: 2022-11-23T02:34:44.8752253Z GIT_DEFAULT_BRANCH: master 2022-11-23T02:34:44.8752508Z DOCKER_CONTAINER_ID: 3d816b21b60748116165bbfd8f1e5c023294e9d2a5f92780839387be6eab971d 2022-11-23T02:34:44.8752774Z AWS_DEFAULT_REGION: us-east-1 2022-11-23T02:34:44.8752965Z BRANCH: master 2022-11-23T02:34:44.8753128Z TEST_CONFIG: default 2022-11-23T02:34:44.8753306Z SHARD_NUMBER: 2 2022-11-23T02:34:44.8753557Z BUILD_ENVIRONMENT: parallelnative-linux-focal-py3.7-gcc7 2022-11-23T02:34:44.8753788Z PR_NUMBER: 2022-11-23T02:34:44.8754009Z PYTORCH_RETRY_TEST_CASES: 1 2022-11-23T02:34:44.8754203Z PYTORCH_OVERRIDE_FLAKY_SIGNAL: 1 2022-11-23T02:34:44.8754425Z SHA1: 1cfd3858ac54fe3883534309081631a0a892ba3f 2022-11-23T02:34:44.8754618Z TAG: 2022-11-23T02:34:44.8754766Z WORKFLOW_ID: 3528293554 2022-11-23T02:34:44.8755088Z GITHUB_TOKEN: *** 2022-11-23T02:34:44.8755275Z GHA_WORKFLOW_JOB_ID: 9655064537 2022-11-23T02:34:44.8755453Z ##[endgroup] 2022-11-23T02:34:44.8780049Z + python3 -m pip install -r requirements.txt 2022-11-23T02:34:45.0889766Z Defaulting to user installation because normal site-packages is not writeable 2022-11-23T02:34:45.1176236Z Requirement already satisfied: astunparse in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 2)) (1.6.3) 2022-11-23T02:34:45.1203829Z Requirement already satisfied: expecttest in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 3)) (0.1.4) 2022-11-23T02:34:45.1213402Z Requirement already satisfied: future in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 4)) (0.18.2) 2022-11-23T02:34:45.1224183Z Requirement already satisfied: hypothesis in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 5)) (6.58.0) 2022-11-23T02:34:45.1596178Z Requirement already satisfied: numpy in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 6)) (1.21.6) 2022-11-23T02:34:45.1606693Z Requirement already satisfied: psutil in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 7)) (5.9.1) 2022-11-23T02:34:45.1686190Z Requirement already satisfied: pyyaml in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 8)) (6.0) 2022-11-23T02:34:45.1695389Z Requirement already satisfied: requests in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 9)) (2.26.0) 2022-11-23T02:34:45.1915305Z Requirement already satisfied: setuptools in /usr/lib/python3.7/site-packages (from -r requirements.txt (line 10)) (49.1.3) 2022-11-23T02:34:45.2085699Z Requirement already satisfied: six in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 11)) (1.16.0) 2022-11-23T02:34:45.2095940Z Requirement already satisfied: types-dataclasses in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 12)) (0.6.6) 2022-11-23T02:34:45.2103146Z Requirement already satisfied: typing_extensions in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 13)) (4.4.0) 2022-11-23T02:34:45.2114506Z Requirement already satisfied: sympy in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 14)) (1.10.1) 2022-11-23T02:34:45.2134013Z Requirement already satisfied: filelock in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 15)) (3.8.0) 2022-11-23T02:34:45.2208338Z Requirement already satisfied: networkx in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 16)) (2.6.3) 2022-11-23T02:34:45.2370738Z Requirement already satisfied: jinja2 in /home/ec2-user/.local/lib/python3.7/site-packages (from -r requirements.txt (line 17)) (3.1.2) 2022-11-23T02:34:45.2398962Z Requirement already satisfied: wheel<1.0,>=0.23.0 in /home/ec2-user/.local/lib/python3.7/site-packages (from astunparse->-r requirements.txt (line 2)) (0.38.4) 2022-11-23T02:34:45.2416257Z Requirement already satisfied: attrs>=19.2.0 in /home/ec2-user/.local/lib/python3.7/site-packages (from hypothesis->-r requirements.txt (line 5)) (22.1.0) 2022-11-23T02:34:45.2675175Z Requirement already satisfied: sortedcontainers<3.0.0,>=2.1.0 in /home/ec2-user/.local/lib/python3.7/site-packages (from hypothesis->-r requirements.txt (line 5)) (2.4.0) 2022-11-23T02:34:45.2687325Z Requirement already satisfied: exceptiongroup>=1.0.0; python_version < "3.11" in /home/ec2-user/.local/lib/python3.7/site-packages (from hypothesis->-r requirements.txt (line 5)) (1.0.4) 2022-11-23T02:34:45.2707916Z Requirement already satisfied: charset-normalizer~=2.0.0; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests->-r requirements.txt (line 9)) (2.0.12) 2022-11-23T02:34:45.2728091Z Requirement already satisfied: idna<4,>=2.5; python_version >= "3" in /home/ec2-user/.local/lib/python3.7/site-packages (from requests->-r requirements.txt (line 9)) (3.4) 2022-11-23T02:34:45.2740976Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests->-r requirements.txt (line 9)) (1.26.12) 2022-11-23T02:34:45.2895463Z Requirement already satisfied: certifi>=2017.4.17 in /home/ec2-user/.local/lib/python3.7/site-packages (from requests->-r requirements.txt (line 9)) (2022.9.24) 2022-11-23T02:34:45.2905607Z Requirement already satisfied: mpmath>=0.19 in /home/ec2-user/.local/lib/python3.7/site-packages (from sympy->-r requirements.txt (line 14)) (1.2.1) 2022-11-23T02:34:45.2961971Z Requirement already satisfied: MarkupSafe>=2.0 in /home/ec2-user/.local/lib/python3.7/site-packages (from jinja2->-r requirements.txt (line 17)) (2.1.1) 2022-11-23T02:34:45.4629398Z + python3 -m pip install boto3==1.19.12 2022-11-23T02:34:45.6720463Z Defaulting to user installation because normal site-packages is not writeable 2022-11-23T02:34:45.6912143Z Requirement already satisfied: boto3==1.19.12 in /home/ec2-user/.local/lib/python3.7/site-packages (1.19.12) 2022-11-23T02:34:45.6961685Z Requirement already satisfied: jmespath<1.0.0,>=0.7.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from boto3==1.19.12) (0.10.0) 2022-11-23T02:34:45.6974766Z Requirement already satisfied: botocore<1.23.0,>=1.22.12 in /home/ec2-user/.local/lib/python3.7/site-packages (from boto3==1.19.12) (1.22.12) 2022-11-23T02:34:45.7026978Z Requirement already satisfied: s3transfer<0.6.0,>=0.5.0 in /home/ec2-user/.local/lib/python3.7/site-packages (from boto3==1.19.12) (0.5.2) 2022-11-23T02:34:45.7052041Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /home/ec2-user/.local/lib/python3.7/site-packages (from botocore<1.23.0,>=1.22.12->boto3==1.19.12) (2.8.2) 2022-11-23T02:34:45.7072375Z Requirement already satisfied: urllib3<1.27,>=1.25.4 in /home/ec2-user/.local/lib/python3.7/site-packages (from botocore<1.23.0,>=1.22.12->boto3==1.19.12) (1.26.12) 2022-11-23T02:34:45.7222180Z Requirement already satisfied: six>=1.5 in /home/ec2-user/.local/lib/python3.7/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.23.0,>=1.22.12->boto3==1.19.12) (1.16.0) 2022-11-23T02:34:46.0098671Z + python3 -m tools.stats.print_test_stats --upload-to-s3 --compare-with-s3 test 2022-11-23T02:35:33.9523940Z [scribe] Scribe access token not provided, sending report via boto3... 2022-11-23T02:35:33.9524293Z 2022-11-23T02:35:33.9525567Z ----- Historic stats comparison result ------ 2022-11-23T02:35:33.9528430Z 2022-11-23T02:35:33.9528877Z job: parallelnative-linux-focal-py3.7-gcc7 2022-11-23T02:35:33.9529258Z commit: 1cfd3858ac54fe3883534309081631a0a892ba3f 2022-11-23T02:35:33.9529765Z 2022-11-23T02:35:33.9530048Z Commit graph (base is most recent master ancestor with at least one S3 report): 2022-11-23T02:35:33.9531785Z 2022-11-23T02:35:33.9532077Z : (master) 2022-11-23T02:35:33.9532371Z | 2022-11-23T02:35:33.9532738Z * 1cfd3858ac (HEAD) total time 8347.15s 2022-11-23T02:35:33.9533311Z * 26322544b8 (base) 2 reports, total time 7157.49s ± 1204.77s 2022-11-23T02:35:33.9533906Z * 7f4b4d2827 2 reports, total time 7327.76s ± 1550.14s 2022-11-23T02:35:33.9534310Z * b50699f247 2 reports, total time 7146.29s ± 1375.66s 2022-11-23T02:35:33.9534627Z * 8bf8e4d71e 2 reports, total time 7111.59s ± 1117.40s 2022-11-23T02:35:33.9534941Z * ce856cee7e 2 reports, total time 7143.91s ± 1137.49s 2022-11-23T02:35:33.9535284Z * 391b593ca2 2 reports, total time 7276.01s ± 1371.26s 2022-11-23T02:35:33.9535844Z * 5bba783d21 2 reports, total time 7113.40s ± 1166.90s 2022-11-23T02:35:33.9536421Z * ea920a1115 2 reports, total time 7387.84s ± 1370.06s 2022-11-23T02:35:33.9536733Z * 74e62a1fef 2 reports, total time 7062.58s ± 1201.81s 2022-11-23T02:35:33.9537042Z * 00b7d8ef23 2 reports, total time 7073.00s ± 1079.88s 2022-11-23T02:35:33.9537246Z | 2022-11-23T02:35:33.9537396Z : 2022-11-23T02:35:33.9537489Z 2022-11-23T02:35:33.9537615Z Removed (across 192 suites) 0 tests, totaling 0.00s 2022-11-23T02:35:33.9537863Z Modified (across 0 suites) 0 tests, totaling 0.00s 2022-11-23T02:35:33.9538120Z Added (across 571 suites) 47039 tests, totaling +8347.15s 2022-11-23T02:35:34.0592052Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2022-11-23T02:35:34.0592282Z with: 2022-11-23T02:35:34.0592434Z env: 2022-11-23T02:35:34.0592607Z GIT_DEFAULT_BRANCH: master 2022-11-23T02:35:34.0592860Z DOCKER_CONTAINER_ID: 3d816b21b60748116165bbfd8f1e5c023294e9d2a5f92780839387be6eab971d 2022-11-23T02:35:34.0593104Z ##[endgroup] 2022-11-23T02:35:34.0612097Z ##[group]Run set -eou pipefail 2022-11-23T02:35:34.0612465Z set -eou pipefail 2022-11-23T02:35:34.0612735Z  2022-11-23T02:35:34.0613109Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2022-11-23T02:35:34.0613492Z for _ in $(seq 1440); do 2022-11-23T02:35:34.0614094Z  # Break if no ssh session exists anymore 2022-11-23T02:35:34.0614625Z  if [ "$(who)" = "" ]; then 2022-11-23T02:35:34.0614910Z  break 2022-11-23T02:35:34.0615166Z  fi 2022-11-23T02:35:34.0615469Z  echo "." 2022-11-23T02:35:34.0615731Z  sleep 5 2022-11-23T02:35:34.0615997Z done 2022-11-23T02:35:34.0630651Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-11-23T02:35:34.0630876Z env: 2022-11-23T02:35:34.0631051Z GIT_DEFAULT_BRANCH: master 2022-11-23T02:35:34.0631310Z DOCKER_CONTAINER_ID: 3d816b21b60748116165bbfd8f1e5c023294e9d2a5f92780839387be6eab971d 2022-11-23T02:35:34.0631554Z ##[endgroup] 2022-11-23T02:35:34.0655326Z Holding runner for 2 hours until all ssh sessions have logged out 2022-11-23T02:35:34.0748913Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2022-11-23T02:35:34.0749225Z # ignore expansion of "docker ps -q" since it could be empty 2022-11-23T02:35:34.0749471Z # shellcheck disable=SC2046 2022-11-23T02:35:34.0749797Z docker stop $(docker ps -q) || true 2022-11-23T02:35:34.0750010Z # Prune all of the docker images 2022-11-23T02:35:34.0750246Z docker system prune -af 2022-11-23T02:35:34.0760653Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2022-11-23T02:35:34.0760869Z env: 2022-11-23T02:35:34.0761042Z GIT_DEFAULT_BRANCH: master 2022-11-23T02:35:34.0761295Z DOCKER_CONTAINER_ID: 3d816b21b60748116165bbfd8f1e5c023294e9d2a5f92780839387be6eab971d 2022-11-23T02:35:34.0761541Z ##[endgroup] 2022-11-23T02:35:34.4843865Z 3d816b21b607 2022-11-23T02:35:38.1229941Z Deleted Containers: 2022-11-23T02:35:38.1230250Z 3d816b21b60748116165bbfd8f1e5c023294e9d2a5f92780839387be6eab971d 2022-11-23T02:35:38.1230422Z 2022-11-23T02:35:45.4719857Z Deleted Images: 2022-11-23T02:35:45.4720842Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.7-gcc7:072aae4a77ed7d3a69ad5683420509c41301b940 2022-11-23T02:35:45.4721900Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/pytorch-linux-focal-py3.7-gcc7@sha256:128a8060bc8d0d2006ae18b574265c3aa935b731c43947b53188b825fa718d6b 2022-11-23T02:35:45.4722581Z deleted: sha256:ac950c018cbcc41d6d7a73f33ac11fc7d5ae0cb1e9dbf1f471e7802e3c2787b3 2022-11-23T02:35:45.4723042Z deleted: sha256:b2992f8a5deb11d65e86729b600a9462d189b6a0e2d64ddf46a935b534edee73 2022-11-23T02:35:45.4723608Z deleted: 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